From 835c03674d703ca450a6b4631d620194a1da5193 Mon Sep 17 00:00:00 2001 From: buettnerm Date: Mon, 20 May 2024 09:59:41 -0700 Subject: [PATCH 1/6] :arrow_up: add pandas 2 support --- pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pyproject.toml b/pyproject.toml index de4dbab..89927c4 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -15,7 +15,7 @@ requires-python = '>= 3.9' dependencies = [ "numpy>=1.20.0", "numba>=0.57", - "pandas<2.0.0,>=1.5.3", + "pandas>1.5.3", "anndata", "scanpy", "scipy", From 016ce1c5cfdb2e2d5a11cd0cbeed0294f5fa991e Mon Sep 17 00:00:00 2001 From: buettnerm Date: Mon, 20 May 2024 10:01:25 -0700 Subject: [PATCH 2/6] :bento: run notebooks --- docs/tutorials/preprocessing.ipynb | 367 ++++++++++++- docs/tutorials/quickstart.ipynb | 83 ++- docs/tutorials/read_fcs.ipynb | 823 ++++++++++++++++++++++++++++- 3 files changed, 1225 insertions(+), 48 deletions(-) diff --git a/docs/tutorials/preprocessing.ipynb b/docs/tutorials/preprocessing.ipynb index 79bbb40..f5c52f9 100644 --- a/docs/tutorials/preprocessing.ipynb +++ b/docs/tutorials/preprocessing.ipynb @@ -18,9 +18,18 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/marenbuettner/miniforge3/envs/pytometry_pd2/lib/python3.9/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", + " from .autonotebook import tqdm as notebook_tqdm\n" + ] + } + ], "source": [ "import readfcs\n", "import pytometry as pm" @@ -28,7 +37,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 2, "metadata": {}, "outputs": [], "source": [ @@ -46,7 +55,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 3, "metadata": {}, "outputs": [], "source": [ @@ -55,7 +64,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 4, "metadata": {}, "outputs": [], "source": [ @@ -64,9 +73,22 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 5, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "AnnData object with n_obs × n_vars = 241552 × 20\n", + " var: 'n', 'channel', 'marker', '$PnR', '$PnB', '$PnE', '$PnV', '$PnG'\n", + " uns: 'meta'" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "adata" ] @@ -97,9 +119,294 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 6, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " n channel marker $PnR $PnB $PnE $PnV $PnG\n", + "FSC-A 1 FSC-A 262144 32 0,0 510 1.0\n", + "FSC-H 2 FSC-H 262144 32 0,0 510 1.0\n", + "FSC-W 3 FSC-W 262144 32 0,0 510 1.0\n", + "SSC-A 4 SSC-A 262144 32 0,0 310 1.0\n", + "SSC-H 5 SSC-H 262144 32 0,0 310 1.0\n", + "SSC-W 6 SSC-W 262144 32 0,0 310 1.0\n", + "CD95 7 R660-A CD95 262144 32 0,0 490 1.0\n", + "CD8 8 R780-A CD8 262144 32 0,0 475 1.0\n", + "CD27 9 B515-A CD27 262144 32 0,0 470 1.0\n", + "CXCR4 10 B710-A CXCR4 262144 32 0,0 417 1.0\n", + "CCR7 11 V450-A CCR7 262144 32 0,0 400 1.0\n", + "LIVE/DEAD 12 V545-A LIVE/DEAD 262144 32 0,0 495 1.0\n", + "CD4 13 V605-A CD4 262144 32 0,0 400 1.0\n", + "CD45RA 14 V655-A CD45RA 262144 32 0,0 375 1.0\n", + "CD3 15 V800-A CD3 262144 32 0,0 400 1.0\n", + "CD49B 16 G560-A CD49B 262144 32 0,0 400 1.0\n", + "CD14/19 17 G610-A CD14/19 262144 32 0,0 415 1.0\n", + "CD69 18 G660-A CD69 262144 32 0,0 470 1.0\n", + "CD103 19 G780-A CD103 262144 32 0,0 435 1.0\n", + "Time 20 Time 262144 32 0,0 0.01" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "adata.var" ] @@ -114,7 +421,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 7, "metadata": {}, "outputs": [], "source": [ @@ -123,9 +430,23 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 8, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "AnnData object with n_obs × n_vars = 241552 × 13\n", + " obs: 'FSC-A', 'FSC-H', 'FSC-W', 'SSC-A', 'SSC-H', 'SSC-W', 'Time'\n", + " var: 'n', 'channel', 'marker', '$PnR', '$PnB', '$PnE', '$PnV', '$PnG', 'signal_type'\n", + " uns: 'meta'" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "adata" ] @@ -164,7 +485,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 9, "metadata": {}, "outputs": [], "source": [ @@ -187,12 +508,13 @@ "In the next step, we normalize the data. By default, normalization is an inplace operation, i.e. we only create a new anndata object, if we set the argument `inplace=False`. We demonstrate three different normalization methods that are build in `pytometry`:\n", "* arcsinh \n", "* logicle \n", - "* bi-exponential" + "* bi-exponential\n", + "* auto-logicle" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 10, "metadata": {}, "outputs": [], "source": [ @@ -201,7 +523,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 11, "metadata": {}, "outputs": [], "source": [ @@ -210,12 +532,21 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 12, "metadata": {}, "outputs": [], "source": [ "adata_biex = pm.tl.normalize_biExp(adata, inplace=False)" ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [], + "source": [ + "adata_autologicle = pm.tl.normalize_autologicle(adata, inplace=False)" + ] } ], "metadata": { @@ -234,7 +565,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.12" + "version": "3.9.19" }, "vscode": { "interpreter": { diff --git a/docs/tutorials/quickstart.ipynb b/docs/tutorials/quickstart.ipynb index 183f797..06b7b75 100644 --- a/docs/tutorials/quickstart.ipynb +++ b/docs/tutorials/quickstart.ipynb @@ -11,14 +11,15 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 13, "id": "a51faaf3-ee27-43c6-b48d-13be1adb5c46", "metadata": {}, "outputs": [], "source": [ "import pytometry as pm\n", "import readfcs\n", - "import anndata" + "import anndata\n", + "from matplotlib import rcParams" ] }, { @@ -32,7 +33,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 2, "id": "fa758625-efb0-4047-9a03-aa534bf6f78e", "metadata": {}, "outputs": [], @@ -42,7 +43,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 3, "id": "ad22eec0-8f75-4e0b-a132-8a43ccb09b37", "metadata": {}, "outputs": [], @@ -52,7 +53,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 4, "id": "8d571a05", "metadata": {}, "outputs": [], @@ -71,7 +72,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 5, "id": "ef471352", "metadata": {}, "outputs": [], @@ -90,10 +91,32 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 6, "id": "2b1204cf", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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eEALl5eUQQkAmk5m7HCKiZo05R0RkvRo8kVfD1dUV/fr1M2YtREREFoVZ13SqKyvwyc9nsPBFF369loioiTDnmg7/YEVExtKgi10QERERmYqdvdzcJRAREZlE1f//ByutVmvuUojIynEir4ESEhIQEBAABwcHhIaG4siRIybf551/vSEiIjI1c2QdAFRqy1FSUsK8IyIikzNH1vEPVkRkDJzIa4Bvv/0WsbGxiI+Px7Fjx9CrVy9ERESgqKjIpPutrqzAqp9Oo7S0lB9uiIjIpMyVdQBQXVnJvCMiIpMzV9bxBA0iMgZO5DXAihUrMHnyZEyaNAndunVDYmIinJycsH79epPvWwZgxa4TPBWbiIhMypxZB9zOuw+2ZUCtVuPmzZu4efMmbt26xQ89RERkNObKuurKCny0MwslJSXMNyJqtEZf7KKlqaioQGZmJuLi4qRtNjY2UKlUSE9Pr/MxWq1Wb+KttLQUAKDRaAzaZ3l5Oa6XFqPi1i3AxhZ2tja4ePEinJ2dH+BIiMhSNXSB/5r3Ev4PIBmLubOuqloHO3t7QFeNdzf/Auh0gI0N7GztMH1YL+YfUTPArCNzM1fW3Si9Bp0AoKvG/KSfpIyb9XQI842omWlI1jUm5ziRZ6C//voL1dXV8PT01Nvu6emJnJycOh+zdOlSLF68uNZ2X1/fRtexotGPJKLmqqysjP8DSEZhKVlXl09mGnU4IrIyzDoyFkvLuk9jH3gIImoGGpJznMgzobi4OMTG/u+dWafTobi4GG3btjX4kuMajQa+vr64ePEilEqlqUo1GdZvXtZcvzXXDjRN/UIIlJWVwcfHxyTjExmCWWfd9Vtz7QDrNzdmHbUUD5p1/F03L9ZvXqz/3hqTc5zIM5C7uztsbW1RWFiot72wsBBeXl51PkahUEChUOhtc3FxadT+lUqlVb7oa7B+87Lm+q25dsD09fPsBDImZt2Dseb6rbl2gPWbG7OOrIk5s46/6+bF+s2L9devoTnHi10YSC6XIyQkBKmpqdI2nU6H1NRUhIWFmbEyIiIi42DWERFRc8esIyJrxzPyGiA2NhZRUVHo27cv+vfvj5UrV+LGjRuYNGmSuUsjIiIyCmYdERE1d8w6IrJmnMhrgLFjx+LKlStYuHAh1Go1evfujeTk5FoLpRqTQqFAfHx8rVO5rQXrNy9rrt+aawesv35quZh1DWfN9Vtz7QDrNzdrr59arqbOOmv/XWH95sX6zcsS65cJXsudiIiIiIiIiIjI4nGNPCIiIiIiIiIiIivAiTwiIiIiIiIiIiIrwIk8IiIiIiIiIiIiK8CJPCIiIiIiIiIiIivAiTwLlpCQgICAADg4OCA0NBRHjhwx+T4XLVoEmUymd+vSpYvUXl5ejpiYGLRt2xatW7fGmDFjUFhYqDdGfn4+RowYAScnJ3h4eGDOnDmoqqrS67Nv3z706dMHCoUCHTt2RFJSUq1aDDn+/fv345lnnoGPjw9kMhm2b9+u1y6EwMKFC+Ht7Q1HR0eoVCqcO3dOr09xcTEmTJgApVIJFxcXREdH4/r163p9Tp48icceewwODg7w9fXFsmXLatWydetWdOnSBQ4ODujRowd2795931o2bdp0z/onTpxY698jMjLSIurv2LEjevTogTZt2sDDwwOjRo1Cbm6u3mMs6fVydy3du3dH796971n/E088Uev5nzp1qkXUX9dzSWSNmHXMOmbdbcw6Zh01X8y65p11ISEhePLJJ60y51QqFd58803069ePWWdNWSfIIm3evFnI5XKxfv16cfr0aTF58mTh4uIiCgsLTbrf+Ph4ERwcLAoKCqTblStXpPapU6cKX19fkZqaKo4ePSoGDBggBg4cKLVXVVWJ7t27C5VKJY4fPy52794t3N3dRVxcnNTnjz/+EE5OTiI2NlacOXNGrF69Wtja2ork5OQGH//u3bvF22+/LbZt2yYAiO+//16v/f333xfOzs5i+/bt4sSJE+LZZ58VgYGB4tatW1KfyMhI0atXL3H48GHx66+/io4dO4rx48dL7aWlpcLT01NMmDBBZGdni2+++UY4OjqKzz77TOpz8OBBYWtrK5YtWybOnDkj5s+fL+zt7cWpU6fuWYunp6eYN29evfVHRUWJyMhIvX+P4uJivT7mqr9du3bC3d1dZGZmiqysLDF8+HDh5+cnrl+/bpGvl7trcXZ2Fh07dhTZ2dn11v/444+LyZMn6z3/paWlFlH/3c8lkTVi1jHrhGDWGfP1wqwjsjzMuuafdaGhocLZ2Vls3rzZ6nLu2WefFY6OjuLzzz+/Z1ZY0uuFWScEJ/IsVP/+/UVMTIx0v7q6Wvj4+IilS5eadL/x8fGiV69edbaVlJQIe3t7sXXrVmnb2bNnBQCRnp4uhLj9BmxjYyPUarXUZ+3atUKpVAqtViuEEGLu3LkiODhYb+yxY8eKiIgI6X5jjv/uN02dTie8vLzE8uXL9Y5BoVCIb775RgghxJkzZwQA8dtvv0l9fvzxRyGTycSlS5eEEEJ8+umnwtXVVapfCCHmzZsnOnfuLN1/8cUXxYgRI/TqCQ0NFa+//rrBtdT3pj9y5Mh6j9mS6i8qKhIAxC+//CK1W8rrxZBa7q5fiNtv+DNnzhT1saT6iawRs45ZJwSzTghmnaH1E1kjZl3LyjprzzkhmHXmrt8Q/GqtBaqoqEBmZiZUKpW0zcbGBiqVCunp6Sbf/7lz5+Dj44OgoCBMmDAB+fn5AIDMzExUVlbq1dWlSxf4+flJdaWnp6NHjx7w9PSU+kRERECj0eD06dNSnzvHqOlTM4axjj8vLw9qtVpvHGdnZ4SGhurV6+Ligr59+0p9VCoVbGxskJGRIfUZPHgw5HK5Xr25ubm4du2aQcdkSC312bdvHzw8PNC5c2dMmzYNV69eldosqf7S0lIAgJubGwDLer0YUsvd9dfYuHEj3N3d0b17d8TFxeHmzZt6z7+l1E9kbZh1zLo7MeuYdcw6ao6Ydcy6GtaScwCzztz1G8LO4J7UZP766y9UV1frvYgAwNPTEzk5OSbdd2hoKJKSktC5c2cUFBRg8eLFeOyxx5CdnQ21Wg25XA4XF5dadanVagCAWq2us+6atnv10Wg0uHXrFq5du2aU46/ZX13j3FmLh4eHXrudnR3c3Nz0+gQGBtZ7TK6urvUe051j3K+WukRGRmL06NEIDAzE77//jrfeegvDhg1Deno6bG1tLaZ+nU6HWbNm4dFHH0X37t2lx1jK6+V+tdRVPwC89NJL8Pf3h4+PD06ePIl58+YhNzcX27Zts6j6iawRs45ZV4NZx6wz9LkksjbMOmYdYD05B4BZZ+b6DcWJPNIzbNgw6eeePXsiNDQU/v7+2LJlCxwdHc1YWcs0btw46ecePXqgZ8+e6NChA/bt24ehQ4easTJ9MTExyM7OxoEDB8xdSqPUV/+UKVOkn3v06AFvb28MHToUv//+Ozp06NDUZRKRkTDrLAuzrmkw64haFmad5bCWnAOYddaCX621QO7u7rC1ta115ZLCwkJ4eXk1aS0uLi54+OGHcf78eXh5eaGiogIlJSX11uXl5VVn3TVt9+qjVCrh6OhotOOv6Xuvcby8vFBUVKTXXlVVheLiYqMc053t96vFEEFBQXB3d8f58+ctpv6cnBzs3LkTe/fuRfv27aU2S3q93KuWgwcP1ll/XUJDQwFA7/k3d/1N/Z5AZCzMOmZdfZh1/+vDrGPWkXVj1jHr6mKJOefl5YXp06cz68xYf0N+JziRZ4HkcjlCQkKQmpoqbdPpdEhNTUVYWFiT1nL9+nX8/vvv8Pb2RkhICOzt7fXqys3NRX5+vlRXWFgYTp06pfdGlJKSAqVSiW7dukl97hyjpk/NGMY6/sDAQHh5eemNo9FokJGRoVdvSUkJMjMzpT5paWnQ6XTSL3dYWBj279+PyspKvXo7d+4MV1dXg47JkFoM8eeff+Lq1avw9vY2e/2lpaU4cOAALl68iLS0tFqnelvS66WuWnJycpCfn4/c3Nw6669LVlYWAOg9/+aq/+7nksjaMOuYdfVh1tWujVnHrCPrxKxj1tXFknJOo9Hg8OHDyMnJwffff8+ss5asM/iyGNSkNm/eLBQKhUhKShJnzpwRU6ZMES4uLnpXUTGFN998U+zbt0/k5eWJgwcPCpVKJdzd3UVRUZEQ4valkv38/ERaWpo4evSoCAsLE2FhYdLjay7bHB4eLrKyskRycrJo165dnZdtnjNnjjh79qxISEio87LNhhx/WVmZOH78uDh+/LgAIFasWCGOHz8u/vvf/wohbl9e28XFRezYsUOcPHlSjBw5ss7LlD/yyCMiIyNDHDhwQHTq1EnvUt8lJSXC09NTvPLKKyI7O1ts3rxZODk51brUt52dnfjwww/F2bNnRXx8fJ2X+r67Fn9/f3H48OE66y8rKxP/+Mc/RHp6usjLyxN79uwRffr0EZ06dRLl5eVmrz8gIEDY2NiIn3/+We8y3jdv3pQeY0mvl7tr8fT0FLa2tmLfvn111n/+/HmxZMkScfToUZGXlyd27NghgoKCxODBgy2i/rufSyJrxKxj1jHrjPt6YdYRWR5mXfPPuhEjRggfHx9x+PBhq8u5kSNHijZt2ghnZ+d6s8LSXi/MOiE4kWfBVq9eLfz8/IRcLhf9+/cXhw8fNvk+x44dK7y9vYVcLhcPPfSQGDt2rDh//rzUfuvWLfH3v/9duLq6CicnJ/Hcc8+JgoICvTEuXLgghg0bJhwdHYW7u7t48803RWVlpV6fvXv3it69ewu5XC6CgoLEhg0batViyPHv3btXAKh1i4qKEkLcvsT2ggULhKenp1AoFGLo0KEiNzdXb4yrV6+K8ePHi9atWwulUikmTZokysrK9PqcOHFCDBo0SCgUCvHQQw+J999/v1YtW7ZsEQ8//LCQy+UiODhY7Nq1S6+9rlq++uqreuu/efOmCA8PF+3atRP29vbC399fTJ48uVbomav+uuoGoPdvaUmvl7truV/9+fn5YvDgwcLNzU0oFArRsWNHMWfOHFFaWmoR9df1XBJZI2Yds45ZdxuzjllHzRezrnlnXZ8+faw254YOHcqsM3P9jck6mRBCGH7+HhEREREREREREZkD18gjIiIiIiIiIiKyApzIIyIiIiIiIiIisgKcyCMiIiIiIiIiIrICnMgjIiIiIiIiIiKyApzIIyIiIiIiIiIisgKcyCMiIiIiIiIiIrICnMgjIiIiIiIiIiKyApzIIyIiIiIiIiIisgKcyCMiIiIiIiIiIrICnMgjMgG1Wo0ZM2YgKCgICoUCvr6+eOaZZ5CamgoACAgIgEwmg0wmg6OjIwICAvDiiy8iLS2t1lipqakYOHAg2rRpAy8vL8ybNw9VVVVS+4ULF6Sx7rwdPny4yY6XiIjImNn322+/YejQoXBxcYGrqysiIiJw4sSJpj4kIiJq4YyVbSdOnMD48ePh6+sLR0dHdO3aFatWrdLrM3HixDo/1wUHBzfZ8ZJ14EQekZFduHABISEhSEtLw/Lly3Hq1CkkJydjyJAhiImJkfotWbIEBQUFyM3NxVdffQUXFxeoVCq89957Up8TJ05g+PDhiIyMxPHjx/Htt9/ihx9+wD//+c9a+92zZw8KCgqkW0hISJMcLxERkTGz7/r164iMjISfnx8yMjJw4MABtGnTBhEREaisrDTH4RERUQtkzGzLzMyEh4cHvv76a5w+fRpvv/024uLisGbNGqnPqlWr9D7PXbx4EW5ubnjhhRea9LjJ8smEEMLcRRA1J8OHD8fJkyeRm5uLVq1a6bWVlJTAxcUFAQEBmDVrFmbNmqXXHh8fj3fffRdnzpxB586d8dZbbyElJQW//fab1Off//43XnzxRRQVFaFNmza4cOECAgMDcfz4cfTu3bsJjpCIiEifMbPv6NGj6NevH/Lz8+Hr6wsAOHXqFHr27Ilz586hY8eOTXVYRETUghkz2+oSExODs2fP1nlmOgBs374do0ePRl5eHvz9/Y1yTNQ88Iw8IiMqLi5GcnIyYmJiar3ZA4CLi8s9Hz9z5kwIIbBjxw4AgFarhYODg14fR0dHlJeXIzMzU2/7s88+Cw8PDwwaNAg//PDDgx0IERGRgYydfZ07d0bbtm2xbt06VFRU4NatW1i3bh26du2KgIAAExwBERGRPmNnW11KS0vh5uZWb/u6deugUqk4iUe1cCKPyIjOnz8PIQS6dOnSqMe7ubnBw8MDFy5cAABERETg0KFD+Oabb1BdXY1Lly5hyZIlAICCggIAQOvWrfHRRx9h69at2LVrFwYNGoRRo0ZxMo+IiJqEsbOvTZs22LdvH77++ms4OjqidevWSE5Oxo8//gg7OzsjVk5ERFQ3Y2fb3Q4dOoRvv/0WU6ZMqbP98uXL+PHHH/Haa681av/UvHEij8iIjPFNdSEEZDIZACA8PBzLly/H1KlToVAo8PDDD2P48OEAABub27++7u7uiI2NRWhoKPr164f3338fL7/8MpYvX/7AtRAREd2PsbPv1q1biI6OxqOPPorDhw/j4MGD6N69O0aMGIFbt2498L6IiIjux9jZdqfs7GyMHDkS8fHxCA8Pr/OxX375JVxcXDBq1KgHroOaH07kERlRp06dIJPJkJOT06jHX716FVeuXEFgYKC0LTY2FiUlJcjPz8dff/2FkSNHAgCCgoLqHSc0NBTnz59vVA1EREQNYezs27RpEy5cuIANGzagX79+GDBgADZt2oS8vLx7fkWJiIjIWEzxuQ4Azpw5g6FDh2LKlCmYP39+nY8VQmD9+vV45ZVXIJfLG7V/at44kUdkRG5uboiIiEBCQgJu3LhRq72kpOSej1+1ahVsbGxq/eVFJpPBx8cHjo6O+Oabb+Dr64s+ffrUO05WVha8vb0bcwhEREQNYuzsu3nzJmxsbPTOYqi5r9PpjFk6ERFRnUzxue706dMYMmQIoqKi9K5oe7dffvkF58+fR3R0dGPLp2aOC40QGVlCQgIeffRR9O/fH0uWLEHPnj1RVVWFlJQUrF27FmfPngUAlJWVQa1Wo7KyEnl5efj666/xxRdfYOnSpXpX5Fu+fDkiIyNhY2ODbdu24f3338eWLVtga2sL4PZp13K5HI888ggAYNu2bVi/fj2++OKLpj94IiJqkYyZfU899RTmzJmDmJgYzJgxAzqdDu+//z7s7OwwZMgQcx4mERG1IMbMtuzsbDz55JOIiIhAbGws1Go1AMDW1hbt2rXT2++6desQGhqK7t27N+0Bk9WQCWN8+ZuI9BQUFOC9997Dzp07UVBQgHbt2iEkJASzZ8/GE088gYCAAPz3v/8FAMjlcnh5eWHAgAGYOnVqrQ8pTz75JI4dOwatVotevXohPj4ew4YNk9q//PJLfPDBB/jvf/8LOzs7dOnSBXPmzMHzzz/fpMdMREQtmzGzLyUlBYsXL0Z2djZsbGzwyCOP4L333sOAAQPMcWhERNRCGSvbFi1ahMWLF9ca39/fX++CGKWlpfD29saqVaswefJkkx8fWSdO5BEREREREREREVkBs66Rt3TpUvTr1w9t2rSBh4cHRo0ahdzcXL0+5eXliImJQdu2bdG6dWuMGTMGhYWFen3y8/MxYsQIODk5wcPDA3PmzEFVVZVen3379qFPnz5QKBTo2LEjkpKSatWTkJCAgIAAODg4IDQ0FEeOHGlwLURERERERERERKZg1om8X375BTExMTh8+DBSUlJQWVmJ8PBwvcUkZ8+ejX//+9/YunUrfvnlF1y+fBmjR4+W2qurqzFixAhUVFTg0KFD+PLLL5GUlISFCxdKffLy8jBixAgMGTIEWVlZmDVrFl577TX89NNPUp9vv/0WsbGxiI+Px7Fjx9CrVy9ERESgqKjI4FqIiIiIiIiIiIhMxaK+WnvlyhV4eHjgl19+weDBg1FaWop27dph06ZN0npfOTk56Nq1K9LT0zFgwAD8+OOPePrpp3H58mV4enoCABITEzFv3jxcuXIFcrkc8+bNw65du5CdnS3ta9y4cSgpKUFycjIAIDQ0FP369cOaNWsAADqdDr6+vpgxYwb++c9/GlTL/eh0Oly+fBlt2rTRuxIbEVFjCCFQVlYGHx8f2NjwIuRkGZh1RGRMzDqyRMw6IjKWxuScRV21trS0FMDtSz0DQGZmJiorK6FSqaQ+Xbp0gZ+fnzR5lp6ejh49ekiTeAAQERGBadOm4fTp03jkkUeQnp6uN0ZNn1mzZgEAKioqkJmZibi4OKndxsYGKpUK6enpBtdyN61WC61WK92/dOkSunXr1tinh4ioThcvXkT79u3NXQYRAODy5cvw9fU1dxlE1Mww68iSMOuIyNgaknMWM5Gn0+kwa9YsPProo9JlltVqNeRyOVxcXPT6enp6SpdrVqvVepN4Ne01bffqo9FocOvWLVy7dg3V1dV19snJyTG4lrstXbq0zivTXLx4EUqlsr6ngojIIBqNBr6+vmjTpo25SyGS1LwemXVEZAzMOrJEzDoiMpbG5JzFTOTFxMQgOzsbBw4cMHcpRhMXF4fY2Fjpfs0/kFKpNOgNXwgBrVYLhULBU7aJqF58fyBLUvN6ZNYRkTHx/YEsSUOzjojofhqScxax0MT06dOxc+dO7N27V+9UQi8vL1RUVKCkpESvf2FhIby8vKQ+d185tub+/foolUo4OjrC3d0dtra2dfa5c4z71XI3hUIhvbk35k1eq9Xigx2Zel/PJSIiak6YdURE1BKUl5ejvLzc3GUQUTNg1ok8IQSmT5+O77//HmlpaQgMDNRrDwkJgb29PVJTU6Vtubm5yM/PR1hYGAAgLCwMp06d0ru6bEpKCpRKpbQeXVhYmN4YNX1qxpDL5QgJCdHro9PpkJqaKvUxpBZTsJcrTDY2ERGRJWDWEREREREZxqxfrY2JicGmTZuwY8cOtGnTRlprztnZGY6OjnB2dkZ0dDRiY2Ph5uYGpVKJGTNmICwsTLq4RHh4OLp164ZXXnkFy5Ytg1qtxvz58xETEwOF4vYHg6lTp2LNmjWYO3cuXn31VaSlpWHLli3YtWuXVEtsbCyioqLQt29f9O/fHytXrsSNGzcwadIkqab71UJERERERERERGQqZp3IW7t2LQDgiSee0Nu+YcMGTJw4EQDw8ccfw8bGBmPGjIFWq0VERAQ+/fRTqa+trS127tyJadOmISwsDK1atUJUVBSWLFki9QkMDMSuXbswe/ZsrFq1Cu3bt8cXX3yBiIgIqc/YsWNx5coVLFy4EGq1Gr1790ZycrLeBTDuVwsREREREREREZGpmP2rtXXdaibxAMDBwQEJCQkoLi7GjRs3sG3btlpr0vn7+2P37t24efMmrly5gg8//BB2dvpzlE888QSOHz8OrVaL33//XW8fNaZPn47//ve/0Gq1yMjIQGhoqF67IbUQERERERHR/yxatAgymUzv1qVLF6m9vLwcMTExaNu2LVq3bo0xY8bUWr88Pz8fI0aMgJOTEzw8PDBnzhxUVVXp9dm3bx/69OkDhUKBjh07IikpqVYtCQkJCAgIgIODA0JDQ3HkyBGTHDMRkalYxMUuiIiIiIiIqPkKDg5GQUGBdDtw4IDUNnv2bPz73//G1q1b8csvv+Dy5csYPXq01F5dXY0RI0agoqIChw4dwpdffomkpCQsXLhQ6pOXl4cRI0ZgyJAhyMrKwqxZs/Daa6/hp59+kvp8++23iI2NRXx8PI4dO4ZevXohIiJCb711IiJLx4k8IiIiIiIiMik7Ozt4eXlJN3d3dwBAaWkp1q1bhxUrVuDJJ59ESEgINmzYgEOHDuHw4cMAgJ9//hlnzpzB119/jd69e2PYsGF45513kJCQgIqKCgBAYmIiAgMD8dFHH6Fr166YPn06nn/+eXz88cdSDStWrMDkyZMxadIkdOvWDYmJiXBycsL69eub/gkhImqkRk3kBQUF4erVq7W2l5SUICgo6IGLIiIiMjdmHRERtXTGzMJz587Bx8cHQUFBmDBhAvLz8wEAmZmZqKyshEqlkvp26dIFfn5+SE9PBwCkp6ejR48eeuuXR0REQKPR4PTp01KfO8eo6VMzRkVFBTIzM/X62NjYQKVSSX3qo9VqodFo9G5ERObSqIm8CxcuoLq6utZ2rVaLS5cuPXBRRERE5sasIyKils5YWRgaGoqkpCQkJydj7dq1yMvLw2OPPYaysjKo1WrI5XK4uLjoPcbT0xNqtRoAoFar9Sbxatpr2u7VR6PR4NatW/jrr79QXV1dZ5+aMeqzdOlSODs7SzdfX1+Dj52IyNgadNXaH374Qfr5p59+grOzs3S/uroaqampCAgIMFpxRERETY1ZR0RELZ2xs3DYsGHSzz179kRoaCj8/f2xZcsWODo6GqVmU4qLi0NsbKx0X6PRcDKPiMymQRN5o0aNAgDIZDJERUXptdnb2yMgIAAfffSR0YojIiJqasw6IiJq6UydhS4uLnj44Ydx/vx5PPXUU6ioqEBJSYneWXmFhYXw8vICAHh5edW6umzNVW3v7HP3lW4LCwuhVCrh6OgIW1tb2Nra1tmnZoz6KBQKKBSKRh0rEZGxNeirtTqdDjqdDn5+figqKpLu63Q6aLVa5Obm4umnnzZVrURERCZn7Kzbv38/nnnmGfj4+EAmk2H79u167UIILFy4EN7e3nB0dIRKpcK5c+f0+hQXF2PChAlQKpVwcXFBdHQ0rl+/rtfn5MmTeOyxx+Dg4ABfX18sW7asVi1bt25Fly5d4ODggB49emD37t0NroWIiJo/U3/uu379On7//Xd4e3sjJCQE9vb2SE1Nldpzc3ORn5+PsLAwAEBYWBhOnTqld3XZlJQUKJVKdOvWTepz5xg1fWrGkMvlCAkJ0euj0+mQmpoq9SEisgaNWiMvLy9PusoQERFRc2SsrLtx4wZ69eqFhISEOtuXLVuGTz75BImJicjIyECrVq0QERGB8vJyqc+ECRNw+vRppKSkYOfOndi/fz+mTJkitWs0GoSHh8Pf3x+ZmZlYvnw5Fi1ahM8//1zqc+jQIYwfPx7R0dE4fvw4Ro0ahVGjRiE7O7tBtRARUcthrCz8xz/+gV9++QUXLlzAoUOH8Nxzz8HW1hbjx4+Hs7MzoqOjERsbi7179yIzMxOTJk1CWFgYBgwYAAAIDw9Ht27d8Morr+DEiRP46aefMH/+fMTExEhnyk2dOhV//PEH5s6di5ycHHz66afYsmULZs+eLdURGxuL//u//8OXX36Js2fPYtq0abhx4wYmTZr0wMd4L0IIlJeXQwhh0v0QUcvQoK/W3ik1NRWpqanSX2juxMt3ExFRc2CMrBs2bJje2kB3EkJg5cqVmD9/PkaOHAkA+Oqrr+Dp6Ynt27dj3LhxOHv2LJKTk/Hbb7+hb9++AIDVq1dj+PDh+PDDD+Hj44ONGzeioqIC69evh1wuR3BwMLKysrBixQppwm/VqlWIjIzEnDlzAADvvPMOUlJSsGbNGiQmJhpUCxERtTzGyMI///wT48ePx9WrV9GuXTsMGjQIhw8fRrt27QAAH3/8MWxsbDBmzBhotVpERETg008/lR5va2uLnTt3Ytq0aQgLC0OrVq0QFRWFJUuWSH0CAwOxa9cuzJ49G6tWrUL79u3xxRdfICIiQuozduxYXLlyBQsXLoRarUbv3r2RnJxc6wIYxqbVavHhv4/hH8/0sYo1AYnIsjVqIm/x4sVYsmQJ+vbtC29vb8hkMmPXRUREZFZNkXV5eXlQq9VQqVTSNmdnZ4SGhiI9PR3jxo1Deno6XFxcpEk8AFCpVLCxsUFGRgaee+45pKenY/DgwZDL5VKfiIgIfPDBB7h27RpcXV2Rnp6ut1B3TZ+ar/oaUktdtFottFqtdF+j0TzQc0JERJbDWFm4efPme7Y7ODggISGh3rPXAcDf37/WkhB3e+KJJ3D8+PF79pk+fTqmT59+zz6mYC/nGntEZByNmshLTExEUlISXnnlFWPXQ0REZBGaIuvUajUA1DoTwNPTU2pTq9Xw8PDQa7ezs4Obm5ten8DAwFpj1LS5urpCrVbfdz/3q6UuS5cuxeLFi+9/sEREZHX4uY+IyPI0ao28iooKDBw40Ni1EBERWQxmnWHi4uJQWloq3S5evGjukoiIyEiYhURElqdRE3mvvfYaNm3aZOxaiIiILEZTZJ2XlxcAoLCwUG97YWGh1Obl5aV3lT4AqKqqQnFxsV6fusa4cx/19bmz/X611EWhUECpVOrdiIioeeDnPiIiy9Oor9aWl5fj888/x549e9CzZ0/Y29vrta9YscIoxREREZlLU2RdYGAgvLy8kJqait69ewO4vcZcRkYGpk2bBgAICwtDSUkJMjMzERISAgBIS0uDTqdDaGio1Oftt99GZWWlVGdKSgo6d+4MV1dXqU9qaipmzZol7T8lJQVhYWEG10JERC0LP/cREVmeRk3knTx5Uvqf/OzsbL02XviCiIiaA2Nl3fXr13H+/Hnpfl5eHrKysuDm5gY/Pz/MmjUL7777Ljp16oTAwEAsWLAAPj4+GDVqFACga9euiIyMxOTJk5GYmIjKykpMnz4d48aNg4+PDwDgpZdewuLFixEdHY158+YhOzsbq1atwscffyztd+bMmXj88cfx0UcfYcSIEdi8eTOOHj2Kzz//XDqm+9VCREQtCz/3ERFZnkZN5O3du9fYdRAREVkUY2Xd0aNHMWTIEOl+zZVjo6KikJSUhLlz5+LGjRuYMmUKSkpKMGjQICQnJ8PBwUF6zMaNGzF9+nQMHToUNjY2GDNmDD755BOp3dnZGT///DNiYmIQEhICd3d3LFy4EFOmTJH6DBw4EJs2bcL8+fPx1ltvoVOnTti+fTu6d+8u9TGkFiIiajn4uY+IyPLIhBDC3EW0FBqNBs7OzigtLTVoDaHy8nKs+DEbscO680MUEdXS0PcUoqbArCMiY2LWkSVqTNZ9sCMTMyOC4eLiYvoCichqNCbnGnVG3pAhQ+55KnVaWlpjhiUiIrIYzDoiImrpmIVERJanURN5Nesk1KisrERWVhays7MRFRVljLqIiIjMillHREQtHbOQiMjyNGoi787Fs++0aNEiXL9+/YEKIiIisgTMOiIiaumYhURElsfGmIO9/PLLWL9+vTGHJCIisijMOiIiaumYhURE5mPUibz09HQuVE1ERM0as46IiFo6ZiERkfk06qu1o0eP1rsvhEBBQQGOHj2KBQsWGKUwIiIic2LWERFRS8csJCKyPI2ayHN2dta7b2Njg86dO2PJkiUIDw83SmFERETmxKwjIqKWjllIRGR5GjWRt2HDBmPXQUREZFGYdURE1NIxC4mILE+jJvJqZGZm4uzZswCA4OBgPPLII0YpioiIyFIw64iIqKVjFhIRWY5GTeQVFRVh3Lhx2LdvH1xcXAAAJSUlGDJkCDZv3ox27doZs0YiIqImx6wjIqKWjllIRGR5GnXV2hkzZqCsrAynT59GcXExiouLkZ2dDY1GgzfeeMPYNRIRETU5Zh0REbV0zEIiIsvTqDPykpOTsWfPHnTt2lXa1q1bNyQkJHDRUyIiahaYdU1HCIHy8nIoFArIZDJzl0NERP8/ZiERkeVp1Bl5Op0O9vb2tbbb29tDp9M9cFFERETmxqxrOlWVFVix6wS0Wq25SyEiojswC4mILE+jJvKefPJJzJw5E5cvX5a2Xbp0CbNnz8bQoUONVhwREZG5MOualp1cYe4SiIjoLsxC46k5+1wIYe5SiMjKNWoib82aNdBoNAgICECHDh3QoUMHBAYGQqPRYPXq1caukYiIqMkx64iIqKVjFhpPVWUFPvn5DM8+J6IH1qg18nx9fXHs2DHs2bMHOTk5AICuXbtCpVIZtTgiIiJzYdYREVFLxyw0Ljt7ublLIKJmoEFn5KWlpaFbt27QaDSQyWR46qmnMGPGDMyYMQP9+vVDcHAwfv31V1PVSkREZHLMOiIiaumYhURElqtBE3krV67E5MmToVQqa7U5Ozvj9ddfx4oVK4xWHBERUVNj1hERUUvHLCQislwNmsg7ceIEIiMj620PDw9HZmbmAxdFRERkLsw6IiJq6ZiFRESWq0ETeYWFhXVefryGnZ0drly58sBFERERmQuzjoiIWjpmIRGR5WrQRN5DDz2E7OzsettPnjwJb2/vBy6KiIjIXJh1RETU0jELiYgsV4Mm8oYPH44FCxagvLy8VtutW7cQHx+Pp59+2mjFERERNTVmnXlUVmjrfM6JiKjpMQtNQwiB8vJyCCHMXQoRWTG7hnSeP38+tm3bhocffhjTp09H586dAQA5OTlISEhAdXU13n77bZMUSkRE1BSYdURE1NIxC02jurICK3adwFtjQuHg4GDucojISjVoIs/T0xOHDh3CtGnTEBcXJ/0lQSaTISIiAgkJCfD09DRJoURERE2BWUdERC0ds9B07OQKc5dARFauQRN5AODv74/du3fj2rVrOH/+PIQQ6NSpE1xdXU1RX4tXc/q1QqGATCYzdzlERC0Cs46IiFo6ZqFpCCFw69YtCCHg4ODAz3hE1GANnsir4erqin79+hmzFqpDFU+/JiIyG2YdERG1dMxC4yq/UYal32XA1kaGmcN7wdPTk5N5RNQgDbrYBZkHT78mIqLmjguAExFRS2Fnbw/IZPjo38ehVqulM/SIiAzBibwGSkhIQEBAABwcHBAaGoojR46YuyQiIiKjMkfWVVdW4JOfz0Cr1Zp8X0RERJbwuU4G4ONdJ/Cv7zJQWlrKyTwiMggn8hrg22+/RWxsLOLj43Hs2DH06tULERERKCoqMndpRERERmHOrLOzl5t8H0RERJb0uc7O3h5VlRX4YEcmJ/OIyCCcyGuAFStWYPLkyZg0aRK6deuGxMREODk5Yf369Sbdb4W2HCUlJXxTJyIikzNX1gFAJfOOiIiagDmzrj4yAB9sy4BarcbNmzdr3fj1WyKq0eiLXbQ0FRUVyMzMRFxcnLTNxsYGKpUK6enpdT5Gq9XqfUWotLQUAKDRaAzaZ3l5Oa6XFqPi1i0s/X9X8eaz/XjBC6JmrKG/3zXvJfyfOjIWc2ddVbUOS//fQeYdUTPGrCNzM1fW3Si9Bp0AoKsGbGwBXTWqqnW318u7Y9u7m38BdDpUV1fB1l4O6HSAjQ0cHBwxc8QjzEciK9CQ39PG5Bwn8gz0119/obq6Gp6ennrbPT09kZOTU+djli5disWLF9fa7uvr26gaPpnRqIcRUTNXVlYGZ2dnc5dBzYAlZB3AvCOi2ph1ZCyWknWNsaJJ90ZETakhOceJPBOKi4tDbGysdF+n06G4uBht27Y1+BLjGo0Gvr6+uHjxIpRKpalKNRnWb17WXL811w40Tf1CCJSVlcHHx8ck4xMZglln3fVbc+0A6zc3Zh21FMw61m9O1lw7wPrvpzE5x4k8A7m7u8PW1haFhYV62wsLC+Hl5VXnYxQKBRQKhd42FxeXRu1fqVRa5Yu+Bus3L2uu35prB0xfP89OIGNi1j0Ya67fmmsHWL+5MevImjDrHgzrNx9rrh1g/ffS0JzjxS4MJJfLERISgtTUVGmbTqdDamoqwsLCzFgZERGRcTDriIiouWPWEZG14xl5DRAbG4uoqCj07dsX/fv3x8qVK3Hjxg1MmjTJ3KUREREZBbOOiIiaO2YdEVkzTuQ1wNixY3HlyhUsXLgQarUavXv3RnJycq2FUo1JoVAgPj6+1qnc1oL1m5c112/NtQPWXz+1XMy6hrPm+q25doD1m5u1108tF7Ou4Vi/+Vhz7QDrNwWZ4LXciYiIiIiIiIiILB7XyCMiIiIiIiIiIrICnMgjIiIiIiIiIiKyApzIIyIiIiIiIiIisgKcyCMiIiIiIiIiIrICnMizYAkJCQgICICDgwNCQ0Nx5MgRk+9z0aJFkMlkercuXbpI7eXl5YiJiUHbtm3RunVrjBkzBoWFhXpj5OfnY8SIEXBycoKHhwfmzJmDqqoqvT779u1Dnz59oFAo0LFjRyQlJdWqxZDj379/P5555hn4+PhAJpNh+/bteu1CCCxcuBDe3t5wdHSESqXCuXPn9PoUFxdjwoQJUCqVcHFxQXR0NK5fv67X5+TJk3jsscfg4OAAX19fLFu2rFYtW7duRZcuXeDg4IAePXpg9+7d961l06ZN96x/4sSJtf49IiMjLaL+jh07okePHmjTpg08PDwwatQo5Obm6j3Gkl4vd9fSvXt39O7d+571P/HEE7We/6lTp1pE/XU9l0TWiFnHrGPW3casY9ZR88WsY9Yx625j1hkp6wRZpM2bNwu5XC7Wr18vTp8+LSZPnixcXFxEYWGhSfcbHx8vgoODRUFBgXS7cuWK1D516lTh6+srUlNTxdGjR8WAAQPEwIEDpfaqqirRvXt3oVKpxPHjx8Xu3buFu7u7iIuLk/r88ccfwsnJScTGxoozZ86I1atXC1tbW5GcnNzg49+9e7d4++23xbZt2wQA8f333+u1v//++8LZ2Vls375dnDhxQjz77LMiMDBQ3Lp1S+oTGRkpevXqJQ4fPix+/fVX0bFjRzF+/HipvbS0VHh6eooJEyaI7Oxs8c033whHR0fx2WefSX0OHjwobG1txbJly8SZM2fE/Pnzhb29vTh16tQ9a/H09BTz5s2rt/6oqCgRGRmp9+9RXFys18dc9bdr1064u7uLzMxMkZWVJYYPHy78/PzE9evXLfL1cnctzs7OomPHjiI7O7ve+h9//HExefJkvee/tLTUIuq/+7kkskbMOmadEMw6Y75emHVElodZx6wTgllnzNcLs04ITuRZqP79+4uYmBjpfnV1tfDx8RFLly416X7j4+NFr1696mwrKSkR9vb2YuvWrdK2s2fPCgAiPT1dCHH7DdjGxkao1Wqpz9q1a4VSqRRarVYIIcTcuXNFcHCw3thjx44VERER0v3GHP/db5g6nU54eXmJ5cuX6x2DQqEQ33zzjRBCiDNnzggA4rfffpP6/Pjjj0Imk4lLly4JIYT49NNPhaurq1S/EELMmzdPdO7cWbr/4osvihEjRujVExoaKl5//XWDa6nvDX/kyJH1HrMl1V9UVCQAiF9++UVqt5TXiyG13F2/ELff8GfOnCnqY0n1E1kjZh2zTghmnRDMOkPrJ7JGzDpmnRDMOiGYdYbWbwh+tdYCVVRUIDMzEyqVStpmY2MDlUqF9PR0k+//3Llz8PHxQVBQECZMmID8/HwAQGZmJiorK/Xq6tKlC/z8/KS60tPT0aNHD3h6ekp9IiIioNFocPr0aanPnWPU9KkZw1jHn5eXB7VarTeOs7MzQkND9ep1cXFB3759pT4qlQo2NjbIyMiQ+gwePBhyuVyv3tzcXFy7ds2gYzKklvrs27cPHh4e6Ny5M6ZNm4arV69KbZZUf2lpKQDAzc0NgGW9Xgyp5e76a2zcuBHu7u7o3r074uLicPPmTb3n31LqJ7I2zDpm3Z2Ydcw6Zh01R8w6Zt2dmHXMOmNlnZ3BPanJ/PXXX6iurtZ7EQGAp6cncnJyTLrv0NBQJCUloXPnzigoKMDixYvx2GOPITs7G2q1GnK5HC4uLrXqUqvVAAC1Wl1n3TVt9+qj0Whw69YtXLt2zSjHX7O/usa5sxYPDw+9djs7O7i5uen1CQwMrPeYXF1d6z2mO8e4Xy11iYyMxOjRoxEYGIjff/8db731FoYNG4b09HTY2tpaTP06nQ6zZs3Co48+iu7du0uPsZTXy/1qqat+AHjppZfg7+8PHx8fnDx5EvPmzUNubi62bdtmUfUTWSNmHbOuBrOOWWfoc0lkbZh1zLoazDpmnaHPpSE4kUd6hg0bJv3cs2dPhIaGwt/fH1u2bIGjo6MZK2uZxo0bJ/3co0cP9OzZEx06dMC+ffswdOhQM1amLyYmBtnZ2Thw4IC5S2mU+uqfMmWK9HOPHj3g7e2NoUOH4vfff0eHDh2aukwiMhJmnWVh1jUNZh1Ry8KssyzMuqbRUrKOX621QO7u7rC1ta115ZLCwkJ4eXk1aS0uLi54+OGHcf78eXh5eaGiogIlJSX11uXl5VVn3TVt9+qjVCrh6OhotOOv6Xuvcby8vFBUVKTXXlVVheLiYqMc053t96vFEEFBQXB3d8f58+ctpv6cnBzs3LkTe/fuRfv27aU2S3q93KuWgwcP1ll/XUJDQwFA7/k3d/1N/Z5AZCzMOmZdfZh1/+vDrGPWkXVj1jHr6sOs+18fZl3DXz+cyLNAcrkcISEhSE1NlbbpdDqkpqYiLCysSWu5fv06fv/9d3h7eyMkJAT29vZ6deXm5iI/P1+qKywsDKdOndJ7E0pJSYFSqUS3bt2kPneOUdOnZgxjHX9gYCC8vLz0xtFoNMjIyNCrt6SkBJmZmVKftLQ06HQ66Zc7LCwM+/fvR2VlpV69nTt3hqurq0HHZEgthvjzzz9x9epVeHt7m73+0tJSHDhwABcvXkRaWlqt07wt6fVSVy05OTnIz89Hbm5unfXXJSsrCwD0nn9z1X/3c0lkbZh1zLr6MOtq18asY9aRdWLWMevqw6yrXRuzrgHvCQZfFoOa1ObNm4VCoRBJSUnizJkzYsqUKcLFxUXvKiqm8Oabb4p9+/aJvLw8cfDgQaFSqYS7u7soKioSQty+VLKfn59IS0sTR48eFWFhYSIsLEx6fM1lm8PDw0VWVpZITk4W7dq1q/OyzXPmzBFnz54VCQkJdV622ZDjLysrE8ePHxfHjx8XAMSKFSvE8ePHxX//+18hxO1La7u4uIgdO3aIkydPipEjR9Z5mfJHHnlEZGRkiAMHDohOnTrpXea7pKREeHp6ildeeUVkZ2eLzZs3Cycnp1qX+bazsxMffvihOHv2rIiPj6/zMt931+Lv7y8OHz5cZ/1lZWXiH//4h0hPTxd5eXliz549ok+fPqJTp06ivLzc7PUHBAQIGxsb8fPPP+tdxvvmzZvSYyzp9XJ3LZ6ensLW1lbs27evzvrPnz8vlixZIo4ePSry8vLEjh07RFBQkBg8eLBF1H/3c0lkjZh1zDpmnXFfL8w6IsvDrGPWMeuM+3ph1gnBiTwLtnr1auHn5yfkcrno37+/OHz4sMn3OXbsWOHt7S3kcrl46KGHxNixY8X58+el9lu3bom///3vwtXVVTg5OYnnnntOFBQU6I1x4cIFMWzYMOHo6Cjc3d3Fm2++KSorK/X67N27V/Tu3VvI5XIRFBQkNmzYUKsWQ45/7969AkCtW1RUlBDi9uW1FyxYIDw9PYVCoRBDhw4Vubm5emNcvXpVjB8/XrRu3VoolUoxadIkUVZWptfnxIkTYtCgQUKhUIiHHnpIvP/++7Vq2bJli3j44YeFXC4XwcHBYteuXXrtddXy1Vdf1Vv/zZs3RXh4uGjXrp2wt7cX/v7+YvLkybVCz1z111U3AL1/S0t6vdxdy/3qz8/PF4MHDxZubm5CoVCIjh07ijlz5ojS0lKLqL+u55LIGjHrmHXMutuYdcw6ar6Ydcw6Zt1tzDrjZJ1MCCEMP3+PiIiIiIiIiIiIzIFr5BEREREREREREVkBTuQRERERERERERFZAU7kERERERERERERWQFO5BEREREREREREVkBTuQRERERERERERFZAU7kERERERERERERWQFO5BEREREREREREVkBTuQRERERERERERFZAU7kERERERERERERWQFO5BEZgVqtxowZMxAUFASFQgFfX18888wzSE1NxeXLl+Hq6opPPvlE7zEZGRmwt7fHzz//DACoqKjAsmXL0KtXLzg5OcHd3R2PPvooNmzYgMrKSgDAxIkTIZPJIJPJYG9vj8DAQMydOxfl5eV11qXVatG7d2/IZDJkZWWZ9DkgIqKW5V7ZV+P48eN44YUX4OnpCQcHB3Tq1AmTJ0/Gf/7zHwDAhQsXpFyTyWRwc3PD448/jl9//VVvX0888YRev5rbiBEjmvSYiYiIiMyNE3lED+jChQsICQlBWloali9fjlOnTiE5ORlDhgxBTEwMfHx8sHr1asTFxeHcuXMAgFu3biEqKgqvvfYawsPDUVFRgYiICLz//vuYMmUKDh06hCNHjiAmJgarV6/G6dOnpf1FRkaioKAAf/zxBz7++GN89tlniI+Pr7O2uXPnwsfHp0meByIiajnul30AsHPnTgwYMABarRYbN27E2bNn8fXXX8PZ2RkLFizQG2/Pnj0oKCjA/v374ePjg6effhqFhYVS+7Zt21BQUCDdsrOzYWtrixdeeKFJj5uIiCzbxIkTMWrUqDrbAgICsHLlSlRUVMDd3R3vv/9+nf3eeecdeHp6orKyEklJSXX+IcnBwaHW4yZNmoT58+cDgF7fVq1aoVOnTpg4cSIyMzP1HrNv3746x5fJZFCr1Xp9//zzT8jlcnTv3r3Oug3dJ1k/O3MXQGTt/v73v0Mmk+HIkSNo1aqVtD04OBivvvoqAODll1/Gtm3bMHHiRPz666+Ii4tDZWUlli9fDgBYuXIl9u/fj6NHj+KRRx6RxggKCsILL7yAiooKaZtCoYCXlxcAwNfXFyqVCikpKfjggw/06vrxxx/x888/47vvvsOPP/5osuMnIqKW537Zd/PmTUyaNAnDhw/H999/L7UHBgYiNDQUJSUleuO1bdsWXl5e8PLywltvvYXNmzcjIyMDzz77LADAzc1Nr//mzZvh5OTEiTwiImowuVyOl19+GRs2bMA///lPvTYhBJKSkvC3v/0N9vb2AAClUonc3Fy9fjKZTO9+dXU1du7ciV27dknbNmzYgMjISJSXl+M///kPPv/8c4SGhmL9+vX429/+pvf43NxcKJVKvW0eHh5695OSkvDiiy9i//79yMjIQGhoaK1ja8g+yXpxIo/oARQXFyM5ORnvvfee3geZGi4uLtLPiYmJ6N69OyZMmICtW7ciLS0NrVu3BgBs3LgRKpVKbxKvhr29vRQid8vOzsahQ4fg7++vt72wsBCTJ0/G9u3b4eTk9ABHSEREpM+Q7Pv+++/x119/Ye7cuXWOcWc+3unWrVv46quvANz+oFWfdevWYdy4cXXun4iI6H6io6OxatUqHDhwAIMGDZK2//LLL/jjjz8QHR0tbZPJZNKJFPU5dOgQ7O3t0a9fP2mbi4uL9LiAgACEh4cjKioK06dPxzPPPANXV1epr4eHR73ZCNyeYNywYQM+/fRTtG/fHuvWratzIq8h+yTrxa/WEj2A8+fPQwiBLl263Levh4cH3nnnHWzevBlTpkzB4MGDpbZz584ZNAZw+6tKrVu3hoODA3r06IGioiLMmTNHahdCYOLEiZg6dSr69u3b8IMiIiK6B0Oyr2YpCUOzbeDAgWjdujVatWqFDz/8ECEhIRg6dGidfY8cOYLs7Gy89tprDS+eiIgIQI8ePdCvXz+sX79eb/uGDRswcOBAg/Orxg8//IBnnnmm1pl6d5s9ezbKysqQkpLSoPH37t2LmzdvQqVS4eWXX8bmzZtx48YNgx7b2H2S5eJEHtEDEEIY3Le6uhpJSUlwcnLC4cOHUVVV1ahxhgwZgqysLGRkZCAqKgqTJk3CmDFjpPbVq1ejrKwMcXFxBo9JRERkKEMyqyG5BgDffvstjh8/ju+++w4dO3ZEUlJSvWejr1u3Dj169ED//v0btA8iIqI7RUdHY+vWrbh+/ToAoKysDP/v//0/aXmkGqWlpWjdurXebdiwYXp9duzYIS0HcS81E4QXLlzQ296+fXu98YODg/Xaa85Et7W1Rffu3REUFIStW7cadJz17ZOsFyfyiB5Ap06dIJPJkJOTc9++H374If744w8cPXoUf/75J/71r39JbQ8//LBBYwBAq1at0LFjR/Tq1Qvr169HRkYG1q1bJ7WnpaUhPT0dCoUCdnZ26NixIwCgb9++iIqKauAREhER6TMk+x5++GEAMDjbfH190alTJzz33HP417/+heeeew5arbZWvxs3bmDz5s16X3kiIiJqjPHjx6O6uhpbtmwBcPuPSjY2Nhg7dqxevzZt2iArK0vv9sUXX0jtZ8+exeXLl+s9k/xONX/ouvvMvV9//VVv/N27d0ttJSUl2LZtG15++WVp28svv6z3GbAx+yTrxYk8ogfg5uaGiIgIJCQk1Hlqc81i3qdPn0Z8fDzWrl2Lrl27Yu3atXj33Xdx8uRJAMBLL72EPXv24Pjx47XGqKysrPe0aRsbG7z11luYP38+bt26BQD45JNPcOLEiVoh8O233+K9994zxmETEVELZkj2hYeHw93dHcuWLatzjLsvdnGn559/HnZ2dvj0009rtW3duhVarVbvwwwREVFjKJVKPP/889iwYQOA21+rffHFF6V1zGvY2NigY8eOereHHnpIav/hhx/w1FNP1Xkl27udPXsWwO2LP90pMDBQb/w710DftGkTysvLERoaCjs7O9jZ2WHevHk4cOAA/vOf/zR6n2S9OJFH9IASEhJQXV2N/v3747vvvsO5c+dw9uxZfPLJJwgLC0NVVRWioqIwevRojB49GgAwZswYjBkzBhMnTkRVVRVmzZqFRx99FEOHDkVCQgJOnDiBP/74A1u2bMGAAQOktYbq8sILL8DW1hYJCQkAAD8/P3Tv3l261ZwV0aFDB7Rv3970TwgRETV798u+Vq1a4YsvvsCuXbvw7LPPYs+ePbhw4QKOHj2KuXPnYurUqfWOLZPJ8MYbb+D999/HzZs39drWrVuHUaNGoW3btqY+RCIiagGio6Nx4MAB7Ny5E4cOHWrUGd87duzAyJEjDeq7cuVKKJVKqFQqg8dft24d3nzzTb0z9k6cOIHHHnus1hp/xtonWTZetZboAQUFBeHYsWN477338Oabb6KgoADt2rVDSEgI1q5di3/961+4dOkSfv75Z73HJSQkIDg4GP/617+wcOFCpKSk4OOPP8Znn32Gf/zjH3ByckLXrl3xxhtvoHv37vXu387ODtOnT8eyZcswbdo0XsGPiIhM7n7ZBwAjR47EoUOHsHTpUrz00kvQaDTw9fXFk08+iXffffee40dFReHtt9/GmjVrpCvf5ubm4sCBA7XylIiI6E6lpaXIysrS21bfH4AGDx6Mjh074m9/+xu6dOmCgQMH1uojhIBara613cPDA3/99ReOHj2KH374oVZ7SUkJ1Go1tFot/vOf/+Czzz7D9u3b8dVXX9W6Qm1RURHKy8tr1Xz69GkcO3YMGzdurHUBjvHjx2PJkiV49913YWdn1+B9kvWSiYauRkxEREREREREZGEmTpyIL7/8stb26Oho7NmzB7NmzcKsWbP02pYuXYq33noLy5Ytw5w5c/TakpKSMGnSpDr3VVBQgF27dmHDhg04cOCAXtud69E5ODjgoYcewqBBg/DGG2+gT58+Utu+ffswZMiQOsdPT0/Hxo0bkZaWhtOnT9dqV6vVeOihh/D999/j2WefNXifZP04kUdERERERERE1EDPPvssBg0aJJ09TtQUuEYeEREREREREVEDDRo0COPHjzd3GdTC8Iw8IiIiIiIiIiIiK8CLXTQhnU6Hy5cvo02bNnrfXyciagwhBMrKyuDj4wMbG55gTZaBWUdExsSsI0vErCMiY2lMznEirwldvnwZvr6+5i6DiJqZixcvon379uYugwgAs46ITINZR5aEWUdExtaQnONEXhNq06YNgNv/QEql8r79hRDQarVQKBT8Sw8R1aLRaODr6yu9txBZAmYdERkTs44sEbOOiIylMTnHibwmVPOmrVQqDXrDLy8vx8rkbMwbGQIHBwdTl0dEVor/Q0iWhFlHRKbArCNLwqwjImNrSM5xoQkLZy9XmLsEIiIik2LWERFRc8esIyJj4UQeERERERERERGRFeBEHhERERERERERkRXgRB4REREREREREZEV4EQeERGRCe3fvx/PPPMMfHx8IJPJsH37dr12IQQWLlwIb29vODo6QqVS4dy5c3p9iouLMWHCBCiVSri4uCA6OhrXr1/X63Py5Ek89thjcHBwgK+vL5YtW1arlq1bt6JLly5wcHBAjx49sHv37gbXQkRERERE5sOJPCIiIhO6ceMGevXqhYSEhDrbly1bhk8++QSJiYnIyMhAq1atEBERgfLycqnPhAkTcPr0aaSkpGDnzp3Yv38/pkyZIrVrNBqEh4fD398fmZmZWL58ORYtWoTPP/9c6nPo0CGMHz8e0dHROH78OEaNGoVRo0YhOzu7QbUQEREREZH52Jm7ACIiouZs2LBhGDZsWJ1tQgisXLkS8+fPx8iRIwEAX331FTw9PbF9+3aMGzcOZ8+eRXJyMn777Tf07dsXALB69WoMHz4cH374IXx8fLBx40ZUVFRg/fr1kMvlCA4ORlZWFlasWCFN+K1atQqRkZGYM2cOAOCdd95BSkoK1qxZg8TERINqISIiIiIi8zLZGXlBQUG4evVqre0lJSUICgoy1W6JiIiMoilyLC8vD2q1GiqVStrm7OyM0NBQpKenAwDS09Ph4uIiTeIBgEqlgo2NDTIyMqQ+gwcPhlwul/pEREQgNzcX165dk/rcuZ+aPjX7MaSWumi1Wmg0Gr0bERFZPmPmHJeRICJqOiabyLtw4QKqq6trbddqtbh06ZKpdktERGQUTZFjarUaAODp6am33dPTU2pTq9Xw8PDQa7ezs4Obm5ten7rGuHMf9fW5s/1+tdRl6dKlcHZ2lm6+vr73OWoiIrIExsw5LiNBRNR0jP7V2h9++EH6+aeffoKzs7N0v7q6GqmpqQgICDD2bomIiIyCOdYwcXFxiI2Nle5rNBpO5hERWTBT5ByXkSAiajpGn8gbNWoUAEAmkyEqKkqvzd7eHgEBAfjoo4+MvVsiIiKjaMoc8/LyAgAUFhbC29tb2l5YWIjevXtLfYqKivQeV1VVheLiYunxXl5eKCws1OtTc/9+fe5sv18tdVEoFFAoFAYdLxERmV9Tf16739IN48aNu+8yEs8991y9y0h88MEHuHbtGlxdXZGenq73x6WaPjVf9TWkFiIiS2f0r9bqdDrodDr4+fmhqKhIuq/T6aDVapGbm4unn37a2LslIiIyiqbMscDAQHh5eSE1NVXaptFokJGRgbCwMABAWFgYSkpKkJmZKfVJS0uDTqdDaGio1Gf//v2orKyU+qSkpKBz585wdXWV+ty5n5o+NfsxpBYiIrJ+Tf15rTksI8H1YInIkphsjby8vDy4u7ubangiIiKTMlaOXb9+HVlZWcjKypLGzcrKQn5+PmQyGWbNmoV3330XP/zwA06dOoW//e1v8PHxkc6Y6Nq1KyIjIzF58mQcOXIEBw8exPTp0zFu3Dj4+PgAAF566SXI5XJER0fj9OnT+Pbbb7Fq1Sq9sxJmzpyJ5ORkfPTRR8jJycGiRYtw9OhRTJ8+HQAMqoWIiJoPfl4zHNeDJSJLYvSv1t4pNTUVqamp0l967rR+/XpT7pqIiOiBGSPHjh49iiFDhkj3aybXoqKikJSUhLlz5+LGjRuYMmUKSkpKMGjQICQnJ8PBwUF6zMaNGzF9+nQMHToUNjY2GDNmDD755BOp3dnZGT///DNiYmIQEhICd3d3LFy4UG+R8IEDB2LTpk2YP38+3nrrLXTq1Anbt29H9+7dpT6G1EJERM1HU3xeaw7LSHA9WCKyJCabyFu8eDGWLFmCvn37wtvbGzKZzFS7IiIiMjpj5dgTTzwBIUS97TKZDEuWLMGSJUvq7ePm5oZNmzbdcz89e/bEr7/+es8+L7zwAl544YUHqoWIiJqHpvq8dufSDTWTZTVLN0ybNg2A/jISISEhAOpeRuLtt99GZWUl7O3tAdS/jMSsWbOk/de3jER9tdSF68ESkSUx2UReYmIikpKS8Morr5hqF0RERCbDHCMioubMmDl3/fp1nD9/Xrpfs4yEm5sb/Pz8pKUbOnXqhMDAQCxYsKDeZSQSExNRWVlZ5zISixcvRnR0NObNm4fs7GysWrUKH3/8sbTfmTNn4vHHH8dHH32EESNGYPPmzTh69Cg+//xzAPrLSNRXCxGRpTPZRF5FRQUGDhxoquGJiIhMijlGRETNmTFzjstIEBE1HZm41/d9HsC8efPQunVrLFiwwBTDWyWNRgNnZ2eUlpZCqVTet395eTlW/JiN2GHdGSxEVEtD31OoYZhjjcOsIyJjYtaZDnOu8Zh1RGQsjck5k52RV15ejs8//xx79uxBz549pXUMaqxYscJUuyYiInpgzDEiImrOmHNERNbJxlQDnzx5Er1794aNjQ2ys7Nx/Phx6ZaVlWXQGIsWLYJMJtO7denSRWovLy9HTEwM2rZti9atW2PMmDG1rlKUn5+PESNGwMnJCR4eHpgzZw6qqqr0+uzbtw99+vSBQqFAx44dkZSUVKuWhIQEBAQEwMHBAaGhoThy5EiDnxMiIrIexsgxIiIiS8WcIyKyTiY7I2/v3r1GGSc4OBh79uyR7tvZ/a/k2bNnY9euXdi6dSucnZ0xffp0jB49GgcPHgQAVFdXY8SIEfDy8sKhQ4dQUFCAv/3tb7C3t8e//vUvALcXYh0xYgSmTp2KjRs3IjU1Fa+99hq8vb0REREBAPj2228RGxuLxMREhIaGYuXKlYiIiEBubi48PDyMcpxERGRZjJVjRERElog5R0RknUx2Rp6x2NnZwcvLS7q5u7sDAEpLS7Fu3TqsWLECTz75JEJCQrBhwwYcOnQIhw8fBgD8/PPPOHPmDL7++mv07t0bw4YNwzvvvIOEhARUVFQAuH21psDAQHz00Ufo2rUrpk+fjueff17v6kcrVqzA5MmTMWnSJHTr1g2JiYlwcnLC+vXrm/4JISIiIiIiIiKiFslkZ+QNGTIEMpms3va0tDSDxjl37hx8fHzg4OCAsLAwLF26FH5+fsjMzERlZSVUKpXUt0uXLvDz80N6ejoGDBiA9PR09OjRA56enlKfiIgITJs2DadPn8YjjzyC9PR0vTFq+syaNQvA7as5ZWZmIi4uTmq3sbGBSqVCenr6PWvXarXQarXSfY1GY9AxExGR+Rkrx4iIiCwRc46IyDqZbCKvd+/eevcrKyuRlZWF7OxsREVFGTRGaGgokpKS0LlzZxQUFGDx4sV47LHHkJ2dDbVaDblcDhcXF73HeHp6Qq1WAwDUarXeJF5Ne03bvfpoNBrcunUL165dQ3V1dZ19cnJy7ln/0qVLsXjxYoOOlYiILIsxcoyIiMhSMeeIiKyTySby7vxq6p0WLVqE69evGzTGsGHDpJ979uyJ0NBQ+Pv7Y8uWLXB0dDRKnaYUFxeH2NhY6b5Go4Gvr68ZKyIiIkMZI8eIiIgsFXOOiMg6NfkaeS+//HKj15ZzcXHBww8/jPPnz8PLywsVFRUoKSnR61NYWAgvLy8AgJeXV62r2Nbcv18fpVIJR0dHuLu7w9bWts4+NWPUR6FQQKlU6t2IiMi6PUiOERERWTrmHBGRZWvyibz09HQ4ODg06rHXr1/H77//Dm9vb4SEhMDe3h6pqalSe25uLvLz8xEWFgYACAsLw6lTp1BUVCT1SUlJgVKpRLdu3aQ+d45R06dmDLlcjpCQEL0+Op0OqampUh8iImo5HiTHiIiILB1zjojIspnsq7WjR4/Wuy+EQEFBAY4ePYoFCxYYNMY//vEPPPPMM/D398fly5cRHx8PW1tbjB8/Hs7OzoiOjkZsbCzc3NygVCoxY8YMhIWFYcCAAQCA8PBwdOvWDa+88gqWLVsGtVqN+fPnIyYmBgqFAgAwdepUrFmzBnPnzsWrr76KtLQ0bNmyBbt27ZLqiI2NRVRUFPr27Yv+/ftj5cqVuHHjBiZNmmSkZ4uIiCyNMXKMiIjIUjHniIisk8km8pydnfXu29jYoHPnzliyZAnCw8MNGuPPP//E+PHjcfXqVbRr1w6DBg3C4cOH0a5dOwC313WwsbHBmDFjoNVqERERgU8//VR6vK2tLXbu3Ilp06YhLCwMrVq1QlRUFJYsWSL1CQwMxK5duzB79mysWrUK7du3xxdffIGIiAipz9ixY3HlyhUsXLgQarUavXv3RnJycq0LYBARUfNhjBwjIiKyVMw5IiLrJBNCCHMX0VJoNBo4OzujtLTUoPXyysvLseLHbMQO687T24moloa+pxA1BWYdERkTs44sEbOOiIylMTlnsjPyamRmZuLs2bMAgODgYDzyyCOm3iUREZHRMMeIiKg5Y84REVkXk03kFRUVYdy4cdi3bx9cXFwAACUlJRgyZAg2b94sfT2WiIjIEjHHiIioOWPOERFZJ5NdtXbGjBkoKyvD6dOnUVxcjOLiYmRnZ0Oj0eCNN94w1W6bHSEEysvLwW9AExE1LeYYERE1Z8w5IiLrZLIz8pKTk7Fnzx507dpV2tatWzckJCRw8dQGqKqswIpdJ/DWmFCup0BE1ISYY0RE1Jwx54iIrJPJzsjT6XSwt7evtd3e3h46nc5Uu22W7OQKc5dARNTiMMeIiKg5Y84REVknk03kPfnkk5g5cyYuX74sbbt06RJmz56NoUOHmmq3RERERsEcIyKi5ow5R0RknUw2kbdmzRpoNBoEBASgQ4cO6NChAwIDA6HRaLB69WpT7ZaIiMgomGNERNScMeeIiKyTydbI8/X1xbFjx7Bnzx7k5OQAALp27QqVSmWqXRIRERkNc4yIiJoz5lzTqqzQory8nOueE9EDM/oZeWlpaejWrRs0Gg1kMhmeeuopzJgxAzNmzEC/fv0QHByMX3/91di7JSIiMgrmGBERNWfMOSIi62b0ibyVK1di8uTJUCqVtdqcnZ3x+uuvY8WKFcbeLRERkVEwx4iIqDljzhERWTejT+SdOHECkZGR9baHh4cjMzPT2LslIiIyCuZY0xNCoLy8HEIIc5dCRNTsMeeIiKyb0SfyCgsL67yMeQ07OztcuXLF2Ltt1mrWUyAiItNjjjW9qsoKrNh1Alqt1tylEBE1e8w5IiLrZvSJvIceegjZ2dn1tp88eRLe3t7G3i0REZFRMMfMw06uMHcJREQtAnOOiMi6GX0ib/jw4ViwYEGdZ5DdunUL8fHxePrpp42922aNXzkiImo6zDEiImrOmHPmwc90RGQsMmHkd5LCwkL06dMHtra2mD59Ojp37gwAyMnJQUJCAqqrq3Hs2DF4enoac7dWQaPRwNnZGaWlpXUuLnu38vJyfLAjE+U3bwA2tpg3MgTOzs6QyWRNUC0RWbqGvqeQYZhjD6axWSezscXcZ3rDwcGhCaokImvBrDM+5tyDa0zWvbv1EHQCWPjiQGYdEUkak3N2xi7C09MThw4dwrRp0xAXFyf9xUEmkyEiIgIJCQkMhUaQAVix6wTeGhPKN34iIhNijplHzXqwzDgiItNizpmPnb3c3CUQUTNg9Ik8APD398fu3btx7do1nD9/HkIIdOrUCa6urqbYXYuhEwIlJSXw9PTkWXlERCbEHGt6d37liBlHRGRazDkiIutlkom8Gq6urujXr58pd9GiVFdW4JOfz2Dhiy48Y4GIqAkwx5oOM46IqOkx55pWzR+tFAoF/2hFRI1m9ItdkGnZ2tlzkVQiImqWmHFERNScVVdWYMWuE9BqteYuhYisGCfyGighIQEBAQFwcHBAaGgojhw50qT755s/ERGZmrmyTnvjOj7YkYmSkhLcunWLE3pERGQy5so6nRC4du0ac46IGo0TeQ3w7bffIjY2FvHx8Th27Bh69eqFiIgIFBUVNWkdfPMnIiJTMXfWyQAs3XoQS7Yc4oQeERGZhDmzrrqyAh/vOoF/fZeB0tJSZhwRNRgn8hpgxYoVmDx5MiZNmoRu3bohMTERTk5OWL9+fZPWUV1ZgeXbf5M+5Ny8ebPeGz8AERFRQ1hC1tnay2tN6DHXiIjIWMyddXb29qiqrOBZ6ETUKCa92EVzUlFRgczMTMTFxUnbbGxsoFKpkJ6eXudjtFqt3ldgS0tLAQAajcagfZaXl+N6aTEqbt0CbGwBXbX036pqHaqrKjF//Y+AjQ2g06G6ugq29nJAp5O2wcYGs54OgbOz8wMcPRE1hYYu8F/zXsL/8SNjMXfWVVXrYGdvr5d30Goxf/2PUsY5ODhi5ohHeEEMIivFrCNzM1fW3Si9Bp1Arc9085N+YrYRNTMN+V1uTM5xIs9Af/31F6qrq+Hp6am33dPTEzk5OXU+ZunSpVi8eHGt7b6+viapsT6fxjbp7oioiZWVlXGynozCWrJuhclGJiJLxawjY7HUrGO2EbVsDck5TuSZUFxcHGJj/zeLptPpUFxcjLZt2xp8uXGNRgNfX19cvHgRSqXSVKWaDOs3L9ZvPk1RuxACZWVl8PHxMcn4RIZo6VlnzbUDrN/cWP/9MevIEjxo1vF33bxYv3mx/ntrTM5xIs9A7u7usLW1RWFhod72wsJCeHl51fkYhUIBhUKht83FxaVR+1cqlVb5oq/B+s2L9ZuPqWvn2QlkTMy6xrPm2gHWb26s/96YdWRM5sw6/q6bF+s3L9Zfv4bmHC92YSC5XI6QkBCkpqZK23Q6HVJTUxEWFmbGyoiIiIyDWUdERM0ds46IrB3PyGuA2NhYREVFoW/fvujfvz9WrlyJGzduYNKkSeYujYiIyCiYdURE1Nwx64jImnEirwHGjh2LK1euYOHChVCr1ejduzeSk5NrLZRqTAqFAvHx8bVO5bYWrN+8WL/5WHPt1LIx6xrGmmsHWL+5sX4i82jqrLP23xXWb16s37wssX6Z4LXciYiIiIiIiIiILB7XyCMiIiIiIiIiIrICnMgjIiIiIiIiIiKyApzIIyIiIiIiIiIisgKcyCMiIiIiIiIiIrICnMizYAkJCQgICICDgwNCQ0Nx5MgRk+9z0aJFkMlkercuXbpI7eXl5YiJiUHbtm3RunVrjBkzBoWFhXpj5OfnY8SIEXBycoKHhwfmzJmDqqoqvT779u1Dnz59oFAo0LFjRyQlJdWqxZDj379/P5555hn4+PhAJpNh+/bteu1CCCxcuBDe3t5wdHSESqXCuXPn9PoUFxdjwoQJUCqVcHFxQXR0NK5fv67X5+TJk3jsscfg4OAAX19fLFu2rFYtW7duRZcuXeDg4IAePXpg9+7d961l06ZN96x/4sSJtf49IiMjLaL+jh07okePHmjTpg08PDwwatQo5Obm6j3Gkl4vd9fSvXt39O7d+571P/HEE7We/6lTp1pE/XU9l0TWiFnHrGPW3casY9ZR88WsY9Yx625j1hkp6wRZpM2bNwu5XC7Wr18vTp8+LSZPnixcXFxEYWGhSfcbHx8vgoODRUFBgXS7cuWK1D516lTh6+srUlNTxdGjR8WAAQPEwIEDpfaqqirRvXt3oVKpxPHjx8Xu3buFu7u7iIuLk/r88ccfwsnJScTGxoozZ86I1atXC1tbW5GcnNzg49+9e7d4++23xbZt2wQA8f333+u1v//++8LZ2Vls375dnDhxQjz77LMiMDBQ3Lp1S+oTGRkpevXqJQ4fPix+/fVX0bFjRzF+/HipvbS0VHh6eooJEyaI7Oxs8c033whHR0fx2WefSX0OHjwobG1txbJly8SZM2fE/Pnzhb29vTh16tQ9a/H09BTz5s2rt/6oqCgRGRmp9+9RXFys18dc9bdr1064u7uLzMxMkZWVJYYPHy78/PzE9evXLfL1cnctzs7OomPHjiI7O7ve+h9//HExefJkvee/tLTUIuq/+7kkskbMOmadEMw6Y75emHVElodZx6wTgllnzNcLs04ITuRZqP79+4uYmBjpfnV1tfDx8RFLly416X7j4+NFr1696mwrKSkR9vb2YuvWrdK2s2fPCgAiPT1dCHH7DdjGxkao1Wqpz9q1a4VSqRRarVYIIcTcuXNFcHCw3thjx44VERER0v3GHP/db5g6nU54eXmJ5cuX6x2DQqEQ33zzjRBCiDNnzggA4rfffpP6/Pjjj0Imk4lLly4JIYT49NNPhaurq1S/EELMmzdPdO7cWbr/4osvihEjRujVExoaKl5//XWDa6nvDX/kyJH1HrMl1V9UVCQAiF9++UVqt5TXiyG13F2/ELff8GfOnCnqY0n1E1kjZh2zTghmnRDMOkPrJ7JGzDpmnRDMOiGYdYbWbwh+tdYCVVRUIDMzEyqVStpmY2MDlUqF9PR0k+//3Llz8PHxQVBQECZMmID8/HwAQGZmJiorK/Xq6tKlC/z8/KS60tPT0aNHD3h6ekp9IiIioNFocPr0aanPnWPU9KkZw1jHn5eXB7VarTeOs7MzQkND9ep1cXFB3759pT4qlQo2NjbIyMiQ+gwePBhyuVyv3tzcXFy7ds2gYzKklvrs27cPHh4e6Ny5M6ZNm4arV69KbZZUf2lpKQDAzc0NgGW9Xgyp5e76a2zcuBHu7u7o3r074uLicPPmTb3n31LqJ7I2zDpm3Z2Ydcw6Zh01R8w6Zt2dmHXMOmNlnZ3BPanJ/PXXX6iurtZ7EQGAp6cncnJyTLrv0NBQJCUloXPnzigoKMDixYvx2GOPITs7G2q1GnK5HC4uLrXqUqvVAAC1Wl1n3TVt9+qj0Whw69YtXLt2zSjHX7O/usa5sxYPDw+9djs7O7i5uen1CQwMrPeYXF1d6z2mO8e4Xy11iYyMxOjRoxEYGIjff/8db731FoYNG4b09HTY2tpaTP06nQ6zZs3Co48+iu7du0uPsZTXy/1qqat+AHjppZfg7+8PHx8fnDx5EvPmzUNubi62bdtmUfUTWSNmHbOuBrOOWWfoc0lkbZh1zLoazDpmnaHPpSE4kUd6hg0bJv3cs2dPhIaGwt/fH1u2bIGjo6MZK2uZxo0bJ/3co0cP9OzZEx06dMC+ffswdOhQM1amLyYmBtnZ2Thw4IC5S2mU+uqfMmWK9HOPHj3g7e2NoUOH4vfff0eHDh2aukwiMhJmnWVh1jUNZh1Ry8KssyzMuqbRUrKOX621QO7u7rC1ta115ZLCwkJ4eXk1aS0uLi54+OGHcf78eXh5eaGiogIlJSX11uXl5VVn3TVt9+qjVCrh6OhotOOv6Xuvcby8vFBUVKTXXlVVheLiYqMc053t96vFEEFBQXB3d8f58+ctpv6cnBzs3LkTe/fuRfv27aU2S3q93KuWgwcP1ll/XUJDQwFA7/k3d/1N/Z5AZCzMOmZdfZh1/+vDrGPWkXVj1jHr6sOs+18fZl3DXz+cyLNAcrkcISEhSE1NlbbpdDqkpqYiLCysSWu5fv06fv/9d3h7eyMkJAT29vZ6deXm5iI/P1+qKywsDKdOndJ7E0pJSYFSqUS3bt2kPneOUdOnZgxjHX9gYCC8vLz0xtFoNMjIyNCrt6SkBJmZmVKftLQ06HQ66Zc7LCwM+/fvR2VlpV69nTt3hqurq0HHZEgthvjzzz9x9epVeHt7m73+0tJSHDhwABcvXkRaWlqt07wt6fVSVy05OTnIz89Hbm5unfXXJSsrCwD0nn9z1X/3c0lkbZh1zLr6MOtq18asY9aRdWLWMevqw6yrXRuzrgHvCQZfFoOa1ObNm4VCoRBJSUnizJkzYsqUKcLFxUXvKiqm8Oabb4p9+/aJvLw8cfDgQaFSqYS7u7soKioSQty+VLKfn59IS0sTR48eFWFhYSIsLEx6fM1lm8PDw0VWVpZITk4W7dq1q/OyzXPmzBFnz54VCQkJdV622ZDjLysrE8ePHxfHjx8XAMSKFSvE8ePHxX//+18hxO1La7u4uIgdO3aIkydPipEjR9Z5mfJHHnlEZGRkiAMHDohOnTrpXea7pKREeHp6ildeeUVkZ2eLzZs3Cycnp1qX+bazsxMffvihOHv2rIiPj6/zMt931+Lv7y8OHz5cZ/1lZWXiH//4h0hPTxd5eXliz549ok+fPqJTp06ivLzc7PUHBAQIGxsb8fPPP+tdxvvmzZvSYyzp9XJ3LZ6ensLW1lbs27evzvrPnz8vlixZIo4ePSry8vLEjh07RFBQkBg8eLBF1H/3c0lkjZh1zDpmnXFfL8w6IsvDrGPWMeuM+3ph1gnBiTwLtnr1auHn5yfkcrno37+/OHz4sMn3OXbsWOHt7S3kcrl46KGHxNixY8X58+el9lu3bom///3vwtXVVTg5OYnnnntOFBQU6I1x4cIFMWzYMOHo6Cjc3d3Fm2++KSorK/X67N27V/Tu3VvI5XIRFBQkNmzYUKsWQ45/7969AkCtW1RUlBDi9uW1FyxYIDw9PYVCoRBDhw4Vubm5emNcvXpVjB8/XrRu3VoolUoxadIkUVZWptfnxIkTYtCgQUKhUIiHHnpIvP/++7Vq2bJli3j44YeFXC4XwcHBYteuXXrtddXy1Vdf1Vv/zZs3RXh4uGjXrp2wt7cX/v7+YvLkybVCz1z111U3AL1/S0t6vdxdy/3qz8/PF4MHDxZubm5CoVCIjh07ijlz5ojS0lKLqL+u55LIGjHrmHXMutuYdcw6ar6Ydcw6Zt1tzDrjZJ1MCCEMP3+PiIiIiIiIiIiIzIFr5BEREREREREREVkBTuQRERERERERERFZAU7kERERERERERERWQFO5BEREREREREREVkBTuQRERERERERERFZAU7kERERERERERERWQFO5BEREREREREREVkBTuQRERERERERERFZAU7kETUBtVqNGTNmICgoCAqFAr6+vnjmmWeQmpoKAAgICIBMJoNMJoOjoyMCAgLw4osvIi0trd4xr169ivbt20Mmk6GkpKSJjoSIiFqCpsytffv2SWPdeVOr1VKfiRMnStvt7e0RGBiIuXPnory8vNZ+/vzzT8jlcnTv3t14TwgRERGMl49Xr15FZGQkfHx8pHGmT58OjUZjjsMiK8OJPCITu3DhAkJCQpCWlobly5fj1KlTSE5OxpAhQxATEyP1W7JkCQoKCpCbm4uvvvoKLi4uUKlUeO+99+ocNzo6Gj179myqwyAiohbCXLmVm5uLgoIC6ebh4aHXHhkZiYKCAvzxxx/4+OOP8dlnnyE+Pr7WOElJSXjxxReh0WiQkZHRyGeBiIhInzHz0cbGBiNHjsQPP/yA//znP0hKSsKePXswdepUcxwaWRk7cxdA1Nz9/e9/h0wmw5EjR9CqVStpe3BwMF599VXpfps2beDl5QUA8PPzw+DBg+Ht7Y2FCxfi+eefR+fOnaW+a9euRUlJCRYuXIgff/yx6Q6GiIiaPXPlloeHB1xcXOqtS6FQSPvz9fWFSqVCSkoKPvjgA6mPEAIbNmzAp59+ivbt22PdunUIDQ1t1PNARER0J2Pmo6urK6ZNmyY9xt/fH3//+9+xfPnypjsgslo8I4/IhIqLi5GcnIyYmBi9N/sa9/rAAgAzZ86EEAI7duyQtp05cwZLlizBV199BRsb/goTEZHxmDO3evfuDW9vbzz11FM4ePDgPfeTnZ2NQ4cOQS6X623fu3cvbt68CZVKhZdffhmbN2/GjRs37jkWERHR/ZgiH+90+fJlbNu2DY8//rgxyqVmjrMARCZ0/vx5CCHQpUuXRj3ezc0NHh4euHDhAgBAq9Vi/PjxWL58Ofz8/IxYKRERkXlyy9vbG4mJifjuu+/w3XffwdfXF0888QSOHTum12/nzp1o3bo1HBwc0KNHDxQVFWHOnDl6fdatW4dx48bB1tYW3bt3R1BQELZu3dqoYyEiIqph7HysMX78eDg5OeGhhx6CUqnEF198YYRqqbnjRB6RCQkhjDKGTCYDAMTFxaFr1654+eWXH3hcIiKiu5kjtzp37ozXX38dISEhGDhwINavX4+BAwfi448/1us3ZMgQZGVlISMjA1FRUZg0aRLGjBkjtZeUlGDbtm16+3r55Zexbt26Bz4mIiJq2YydjzU+/vhjHDt2DDt27MDvv/+O2NjYB94PNX+cyCMyoU6dOkEmkyEnJ6dRj7969SquXLmCwMBAAEBaWhq2bt0KOzs72NnZYejQoQAAd3f3Ohf8JiIiaghLya3+/fvj/PnzettatWqFjh07olevXli/fj0yMjL0Juk2bdqE8vJyhIaGSvubN28eDhw4gP/85z+NOh4iIiLA+PlYw8vLC126dMGzzz6Lzz77DGvXrkVBQYExSqZmjBN5RCbk5uaGiIgIJCQk1LlGT0lJyT0fv2rVKtjY2GDUqFEAgO+++w4nTpxAVlYWsrKypFOvf/31V70rJRERETWGpeRWVlYWvL296223sbHBW2+9hfnz5+PWrVsAbn+t9s0335T2lZWVhRMnTuCxxx7D+vXr73PkRERE9TN2PtZFp9MBuL0sBdG98Kq1RCaWkJCARx99FP3798eSJUvQs2dPVFVVISUlBWvXrsXZs2cBAGVlZVCr1aisrEReXh6+/vprfPHFF1i6dCk6duwIAOjQoYPe2H/99RcAoGvXrvddYJWIiMgQTZ1bK1euRGBgIIKDg1FeXo4vvvgCaWlp+Pnnn+9Z5wsvvIA5c+YgISEBKpUKx44dw8aNG2utXzR+/HgsWbIE7777Luzs+L++RETUOMbMx927d6OwsBD9+vVD69atcfr0acyZMwePPvooAgICzHiUZA34fzNEJhYUFIRjx47hvffew5tvvomCggK0a9cOISEhWLt2rdRv4cKFWLhwIeRyOby8vDBgwACkpqZiyJAhZqyeiIhamqbOrYqKCrz55pu4dOkSnJyc0LNnT+zZs+e+49jZ2WH69OlYtmwZcnNz0a1btzoXIX/uuecwffp07N69G88++2yDaiMiIqphzHx0dHTE//3f/2H27NnQarXw9fXF6NGj8c9//tMch0ZWRiaMsWojERERERERERERmZRZ18hbunQp+vXrhzZt2sDDwwOjRo1Cbm6uXp/y8nLExMSgbdu2aN26NcaMGYPCwkK9Pvn5+RgxYgScnJzg4eGBOXPmoKqqSq/Pvn370KdPHygUCnTs2BFJSUm16klISEBAQAAcHBwQGhqKI0eONLgWIiIiIiIiIiIiUzDrRN4vv/yCmJgYHD58GCkpKaisrER4eLje4pGzZ8/Gv//9b2zduhW//PILLl++jNGjR0vt1dXVGDFiBCoqKnDo0CF8+eWXSEpKwsKFC6U+eXl5GDFiBIYMGYKsrCzMmjULr732Gn766Sepz7fffovY2FjEx8fj2LFj6NWrFyIiIlBUVGRwLURERERERERERKZiUV+tvXLlCjw8PPDLL79g8ODBKC0tRbt27bBp0yY8//zzAICcnBx07doV6enpGDBgAH788Uc8/fTTuHz5Mjw9PQEAiYmJmDdvHq5cuQK5XI558+Zh165dyM7OlvY1btw4lJSUIDk5GQAQGhqKfv36Yc2aNQBuXzHG19cXM2bMwD//+U+DaiEiIiIiIiIiIjIVi7rYRWlpKYDbl3YGgMzMTFRWVkKlUkl9unTpAj8/P2nyLD09HT169JAm8QAgIiIC06ZNw+nTp/HII48gPT1db4yaPrNmzQJwe5HlzMxMxMXFSe02NjZQqVRIT083uJa7abVavUtH63Q6FBcXo23btpDJZI19moiIAABCCJSVlcHHxwc2NmY9wZpIotPpcPnyZbRp04ZZR0QPjFlHlohZR0TG0pics5iJPJ1Oh1mzZuHRRx9F9+7dAQBqtRpyuRwuLi56fT09PaFWq6U+d07i1bTXtN2rj0ajwa1bt3Dt2jVUV1fX2ScnJ8fgWu62dOlSLF682MBngIiocS5evIj27dubuwwiAMDly5fh6+tr7jKIqJlh1pElYdYRkbE1JOcsZiIvJiYG2dnZOHDggLlLMZq4uDjExsZK90tLS+Hn54eLFy9CqVSasTIiag40Gg18fX3Rpk0bc5dCJKl5PTLriMgYmHVkiZh1RGQsjck5i5jImz59Onbu3In9+/frzUB6eXmhoqICJSUlemfCFRYWwsvLS+pz99Vla64ke2efu68uW1hYCKVSCUdHR9ja2sLW1rbOPneOcb9a7qZQKKBQKGptVyqVBr3hCyGg1WqhUCh4yjYR1YvvD2RJal6PzDoiMia+P5AlYdYRkbE15L3BrAtNCCEwffp0fP/990hLS0NgYKBee0hICOzt7ZGamipty83NRX5+PsLCwgAAYWFhOHXqlN7VZVNSUqBUKtGtWzepz51j1PSpGUMulyMkJESvj06nQ2pqqtTHkFqMTavV4oMdmXrr7BERETUnzDoiImrumHVEZExmPSMvJiYGmzZtwo4dO9CmTRtprTlnZ2c4OjrC2dkZ0dHRiI2NhZubG5RKJWbMmIGwsDDp4hLh4eHo1q0bXnnlFSxbtgxqtRrz589HTEyMdDbc1KlTsWbNGsydOxevvvoq0tLSsGXLFuzatUuqJTY2FlFRUejbty/69++PlStX4saNG5g0aZJU0/1qMQV7ee0z+oiIiJoTZh0RETV3zDoiMhazTuStXbsWAPDEE0/obd+wYQMmTpwIAPj4449hY2ODMWPGQKvVIiIiAp9++qnU19bWFjt37sS0adMQFhaGVq1aISoqCkuWLJH6BAYGYteuXZg9ezZWrVqF9u3b44svvkBERITUZ+zYsbhy5QoWLlwItVqN3r17Izk5We8CGPerhYiIiIiIiIiIyFRkQghh7iJaCo1GA2dnZ5SWlhq0lkJ5eTlW/JiN2GHd4eDg0AQVEpE1aeh7ClFTYNYRkTEx68gSMeuIyFgak3NmXSOPiIiIiIiIiIiIDMOJPCIiIiIiIiIiIivAiTwiIiIiIiIiIiIr0KiJvKCgIFy9erXW9pKSEgQFBT1wUURERObGrCMiouaMOUdEZJ0aNZF34cIFVFdX19qu1Wpx6dKlBy6KiIjI3Jh1RETUnDHniIisk11DOv/www/Szz/99BOcnZ2l+9XV1UhNTUVAQIDRiiMiImpqzDoiImrOmHNERNatQRN5o0aNAgDIZDJERUXptdnb2yMgIAAfffSR0YojIiJqasw6IiJqzkyRc/v378fy5cuRmZmJgoICfP/999J+AEAIgfj4ePzf//0fSkpK8Oijj2Lt2rXo1KmT1Ke4uBgzZszAv//9b9jY2GDMmDFYtWoVWrduLfU5efIkYmJi8Ntvv6Fdu3aYMWMG5s6dq1fL1q1bsWDBAly4cAGdOnXCBx98gOHDhzeoFiIiS9agr9bqdDrodDr4+fmhqKhIuq/T6aDVapGbm4unn37aVLUSERGZHLOOiIiaM1Pk3I0bN9CrVy8kJCTU2b5s2TJ88sknSExMREZGBlq1aoWIiAiUl5dLfSZMmIDTp08jJSUFO3fuxP79+zFlyhSpXaPRIDw8HP7+/sjMzMTy5cuxaNEifP7551KfQ4cOYfz48YiOjsbx48cxatQojBo1CtnZ2Q2qhYjIkjXojLwaeXl5xq6DiIjIojDriIioOTNmzg0bNgzDhg2rs00IgZUrV2L+/PkYOXIkAOCrr76Cp6cntm/fjnHjxuHs2bNITk7Gb7/9hr59+wIAVq9ejeHDh+PDDz+Ej48PNm7ciIqKCqxfvx5yuRzBwcHIysrCihUrpAm/VatWITIyEnPmzAEAvPPOO0hJScGaNWuQmJhoUC1ERJauURN5AJCamorU1FTprzh3Wr9+/QMXRkREZG7MOiIias6aIufy8vKgVquhUqmkbc7OzggNDUV6ejrGjRuH9PR0uLi4SJN4AKBSqWBjY4OMjAw899xzSE9Px+DBgyGXy6U+ERER+OCDD3Dt2jW4uroiPT0dsbGxevuPiIjA9u3bDa6FiMjSNeqqtYsXL0Z4eDhSU1Px119/4dq1a3o3IiIia2esrNu/fz+eeeYZ+Pj4QCaTSR8magghsHDhQnh7e8PR0REqlQrnzp3T61NcXIwJEyZAqVTCxcUF0dHRuH79ul6fkydP4rHHHoODgwN8fX2xbNmyWrVs3boVXbp0gYODA3r06IHdu3c3uBYiImoemuoznVqtBgB4enrqbff09JTa1Go1PDw89Nrt7Ozg5uam16euMe7cR3197my/Xy110Wq10Gg0ejciInNp1Bl5iYmJSEpKwiuvvGLseoiIiCyCsbKuZt2gV199FaNHj67VXrNWz5dffonAwEAsWLAAEREROHPmDBwcHADcXjeooKAAKSkpqKysxKRJkzBlyhRs2rQJwP/WDVKpVEhMTMSpU6fw6quvwsXFRfq6Uc26QUuXLsXTTz+NTZs2YdSoUTh27Bi6d+9ucC1ERNQ88DOd4ZYuXYrFixebuwwiIgCNPCOvoqICAwcONHYtREREFsNYWTds2DC8++67eO6552q13b1WT8+ePfHVV1/h8uXL0pl7NesGffHFFwgNDcWgQYOwevVqbN68GZcvXwYAvXWDgoODMW7cOLzxxhtYsWKFtK871w3q2rUr3nnnHfTp0wdr1qwxuBYiImo+muoznZeXFwCgsLBQb3thYaHU5uXlhaKiIr32qqoqFBcX6/Wpa4w791Ffnzvb71dLXeLi4lBaWirdLl68eJ+jJiIynUZN5L322mvSWQBERETNUVNk3f3W6gFw33WDavrUtW5Qbm6u9PWo9PR0vf3U9KnZjyG11IVfNyIisk5N9ZkuMDAQXl5eSE1NlbZpNBpkZGQgLCwMABAWFoaSkhJkZmZKfdLS0qDT6RAaGir12b9/PyorK6U+KSkp6Ny5M1xdXaU+d+6npk/NfgyppS4KhQJKpVLv9v+1d+9hVdV5//9fG2RzSDmFclAEPIRnLUuk0jRJtJNW96Rm3eb41WrUbOxgZIl6122TZUc6XV3qNHdlNWM2d2NMCprloCaJigq3lqYVoImwRQFRPr8//LnHLaCAG/be+HxcF9fFXp/PWuu1lhve8W7ttQDAVRr10dqKigq9++67Wr16tfr06SMfHx+H8bOvAAAAwBM1R61z5n2D4uLiamzjzFhISEiT3TeIjxsBgGdyZp0rKyvTnj177K/37t2rnJwchYaGqmPHjnrkkUf07LPPqmvXrvZbN0RFRWn06NGSpO7du2vEiBGaPHmy3n77bVVVVWnatGkaO3asoqKiJEn33HOP5s2bp0mTJmnWrFnKzc3Vq6++qpdfftm+3xkzZuiGG27QSy+9pFtuuUXLli3T5s2b9e6770qSLBbLBbMAgLtrVCNv27Zt6tevnyQpNzfXYcxisVx0KAAAXI1aVz8pKSkOTwi02WyKjo52YSIAQH04s85t3rxZQ4cOtb8+UxcmTJigpUuX6oknntCxY8c0ZcoUlZSU6Prrr1d6errD/Vc/+OADTZs2TcOGDZOXl5fuuusuvfbaa/bxoKAgffXVV5o6dar69++vsLAwzZkzx34vWEm69tpr9eGHH+rpp5/WU089pa5du2rFihX2e8FKqlcWAHBnjWrkrVmzxtk5AABwK81R686+V09kZKR9eVFRkf2PK1fcN6iuLLXx9fWVr69vvY4XAOA+nFnnhgwZImNMneMWi0Xz58/X/Pnz65wTGhp6wY/69unTR99888155/zud7/T7373u4vKAgDurFH3yAMAABevJdw3CAAAAEDzadQVeUOHDj3v5daZmZmNDgQAgDtwVq3jvkEAAHfE33QA4Jka1cg79yM2VVVVysnJUW5uriZMmOCMXAAAuJSzah33DQIAuCP+pgMAz2Qx57uZQQPNnTtXZWVlevHFF521yRbFZrMpKChIpaWl9XpkeUVFhRZ9mauZI3vxRxSAGhr6OwXOQa07P2odAGei1jU/6tyFUesAOEtj6pxT75F37733avHixc7cJAAAboVaBwBoyahzAODenNrIy8rK4v8wAABaNGodAKAlo84BgHtr1D3y7rzzTofXxhgVFBRo8+bNeuaZZ5wSDAAAV6LWAQBaMuocAHimRjXygoKCHF57eXkpPj5e8+fP1/Dhw50SDAAAV6LWAQBaMuocAHimRjXylixZ4uwcAAC4FWodAKAlo84BgGdqVCPvjOzsbO3atUuS1LNnT1155ZVOCQUAgLug1gEAWjLqHAB4lkY18g4ePKixY8dq7dq1Cg4OliSVlJRo6NChWrZsmdq2bevMjAAANDtqHQCgJaPONa+qE5WqqKjgQSIALlqjnlo7ffp0HT16VDt27FBxcbGKi4uVm5srm82mhx9+2NkZAQBodtQ6AEBLRp0DAM/UqCvy0tPTtXr1anXv3t2+rEePHkpLS+PGqACAFoFaBwBoyahzAOCZGnVFXnV1tXx8fGos9/HxUXV19UWHAgDA1ah1AICWjDoHAJ6pUY28G2+8UTNmzNCvv/5qX/bLL7/oj3/8o4YNG+a0cAAAuAq1DgDQklHnAMAzNaqR98Ybb8hmsyk2NladO3dW586dFRcXJ5vNptdff93ZGQEAaHbUOgBAS0adAwDP1Kh75EVHR+v777/X6tWrlZeXJ0nq3r27kpKSnBoOAABXodYBAFoy6hwAeKYGXZGXmZmpHj16yGazyWKx6KabbtL06dM1ffp0XXPNNerZs6e++eabpsoKAECTo9YBAFoy6hwAeLYGNfJeeeUVTZ48WYGBgTXGgoKC9MADD2jRokVOCwcAQHOj1jU/Y4wqKipkjHF1FABo8ahzAODZGtTI27p1q0aMGFHn+PDhw5WdnX3RoQAAcBVqXfM7WXVCi/6xVZWVla6OAgAtHnUOADxbgxp5RUVFtT6i/IxWrVrp0KFDFx0KAABXoda5Riurr6sjAMAlgToHAJ6tQY289u3bKzc3t87xbdu2KTIy8qJD4d/4uBEANC9qHQCgJaPOAYBna1Aj7+abb9YzzzyjioqKGmPl5eVKTU3Vrbfe6rRw4ONGANDcqHUAgJaMOgcAnq1VQyY//fTTWr58ua644gpNmzZN8fHxkqS8vDylpaXp1KlTmj17dpMEvZTxcSMAaD7UOgBAS0adAwDP1qBGXnh4uP71r3/poYceUkpKiv3jnhaLRcnJyUpLS1N4eHiTBAUAoDlQ6wAALRl1zjXOvmWSxWJxdRwAHqxBjTxJiomJ0cqVK3XkyBHt2bNHxhh17dpVISEhTZEPAIBmR60DALRk1Lnmd7LqhF77aqfm3B0sPz8/V8cB4MEa3Mg7IyQkRNdcc40zswAA4Faodc2n6kSlKioq+OMGAJoRda55tfKxujoCgBagQQ+7AAAAAAAAAOAaNPIaKC0tTbGxsfLz81NCQoI2bdrk6kgAADiVK2rd2fcOAgCgqVHrAHgqGnkN8PHHH2vmzJlKTU3V999/r759+yo5OVkHDx50dTQAAJzCVbXu1P9/76DKysom3Q8AAK6sdYv+sZVaB+Ci0MhrgEWLFmny5MmaOHGievToobffflsBAQFavHhxk+73RGWFSkpK+D83AIAm56paJ0mmulpHjhxReXk5NQ8A0GRcWeu8faxclQfgojT6YReXmhMnTig7O1spKSn2ZV5eXkpKSlJWVlat61RWVjr835bS0lJJks1mq9c+KyoqVFZarBPl5Vrw18N69PZruAk40II19Of7zO8S/kMQzuLqWnfyVLWeXfa1/Pz8NeOWK6l5QAtErYOruarWHSs9omojHSs5rNT/+ZW/7YAWrCE/242pczTy6um3337TqVOnFB4e7rA8PDxceXl5ta6zYMECzZs3r8by6OjoRmV4bXqjVgPQwh09elRBQUGujoEWwB1q3RmLLmptAC0NtQ7O4i61jr/tAJytIXWORl4TSklJ0cyZM+2vq6urVVxcrMsvv1wWi6Ve27DZbIqOjtaBAwcUGBjYVFGbDPldy5Pze3J2qXnyG2N09OhRRUVFNcn2gfq42FrHz7prkd+1yH9h1Dq4A2od+V2J/K7V1PkbU+do5NVTWFiYvL29VVRU5LC8qKhIERERta7j6+srX19fh2XBwcGN2n9gYKBHvunPIL9reXJ+T84uNX1+rk6AM7my1vGz7lrkdy3ynx+1Ds5ErWs88rsW+V2rKfM3tM7xsIt6slqt6t+/vzIyMuzLqqurlZGRocTERBcmAwDAOah1AICWjloHwNNxRV4DzJw5UxMmTNDVV1+tAQMG6JVXXtGxY8c0ceJEV0cDAMApqHUAgJaOWgfAk9HIa4AxY8bo0KFDmjNnjgoLC9WvXz+lp6fXuFGqM/n6+io1NbXGpdyegvyu5cn5PTm75Pn5celq7lrn6T8r5Hct8ruWp+fHpYta1zDkdy3yu5Y75rcYnuUOAAAAAAAAuD3ukQcAAAAAAAB4ABp5AAAAAAAAgAegkQcAAAAAAAB4ABp5AAAAAAAAgAegkefG0tLSFBsbKz8/PyUkJGjTpk1Nvs+5c+fKYrE4fHXr1s0+XlFRoalTp+ryyy9X69atddddd6moqMhhG/v379ctt9yigIAAtWvXTo8//rhOnjzpMGft2rW66qqr5Ovrqy5dumjp0qU1stTn+NetW6fbbrtNUVFRslgsWrFihcO4MUZz5sxRZGSk/P39lZSUpN27dzvMKS4u1vjx4xUYGKjg4GBNmjRJZWVlDnO2bdumQYMGyc/PT9HR0XrhhRdqZPn000/VrVs3+fn5qXfv3lq5cuUFs3z44YfnzX///ffX+PcYMWKEW+Tv0qWLevfurTZt2qhdu3YaPXq08vPzHdZxp/fLuVl69eqlfv36nTf/kCFDapz/Bx980C3y13YuAU9EraPWUetOo9ZR69ByNXet87Q6J3l2revfv79uvPFGj6xzSUlJevTRR3XNNddQ6zyp1hm4pWXLlhmr1WoWL15sduzYYSZPnmyCg4NNUVFRk+43NTXV9OzZ0xQUFNi/Dh06ZB9/8MEHTXR0tMnIyDCbN282AwcONNdee619/OTJk6ZXr14mKSnJbNmyxaxcudKEhYWZlJQU+5wff/zRBAQEmJkzZ5qdO3ea119/3Xh7e5v09PQGH//KlSvN7NmzzfLly40k89lnnzmMP//88yYoKMisWLHCbN261dx+++0mLi7OlJeX2+eMGDHC9O3b12zYsMF88803pkuXLmbcuHH28dLSUhMeHm7Gjx9vcnNzzUcffWT8/f3NO++8Y5+zfv164+3tbV544QWzc+dO8/TTTxsfHx+zffv282YJDw83s2bNqjP/hAkTzIgRIxz+PYqLix3muCp/27ZtTVhYmMnOzjY5OTnm5ptvNh07djRlZWV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eEALl5eUQQkAmk5m7HCKiZo05R0RkvRo8kVfD1dUV/fr1M2YtREREFoVZ13SqKyvwyc9nsPBFF369loioiTDnmg7/YEVExtKgi10QERERmYqdvdzcJRAREZlE1f//ByutVmvuUojIynEir4ESEhIQEBAABwcHhIaG4siRIybf551/vSEiIjI1c2QdAFRqy1FSUsK8IyIikzNH1vEPVkRkDJzIa4Bvv/0WsbGxiI+Px7Fjx9CrVy9ERESgqKjIpPutrqzAqp9Oo7S0lB9uiIjIpMyVdQBQXVnJvCMiIpMzV9bxBA0iMgZO5DXAihUrMHnyZEyaNAndunVDYmIinJycsH79epPvWwZgxa4TPBWbiIhMypxZB9zOuw+2ZUCtVuPmzZu4efMmbt26xQ89RERkNObKuurKCny0MwslJSXMNyJqtEZf7KKlqaioQGZmJuLi4qRtNjY2UKlUSE9Pr/MxWq1Wb+KttLQUAKDRaAzaZ3l5Oa6XFqPi1i3AxhZ2tja4ePEinJ2dH+BIiMhSNXSB/5r3Ev4PIBmLubOuqloHO3t7QFeNdzf/Auh0gI0N7GztMH1YL+YfUTPArCNzM1fW3Si9Bp0AoKvG/KSfpIyb9XQI842omWlI1jUm5ziRZ6C//voL1dXV8PT01Nvu6emJnJycOh+zdOlSLF68uNZ2X1/fRtexotGPJKLmqqysjP8DSEZhKVlXl09mGnU4IrIyzDoyFkvLuk9jH3gIImoGGpJznMgzobi4OMTG/u+dWafTobi4GG3btjX4kuMajQa+vr64ePEilEqlqUo1GdZvXtZcvzXXDjRN/UIIlJWVwcfHxyTjExmCWWfd9Vtz7QDrNzdmHbUUD5p1/F03L9ZvXqz/3hqTc5zIM5C7uztsbW1RWFiot72wsBBeXl51PkahUEChUOhtc3FxadT+lUqlVb7oa7B+87Lm+q25dsD09fPsBDImZt2Dseb6rbl2gPWbG7OOrIk5s46/6+bF+s2L9devoTnHi10YSC6XIyQkBKmpqdI2nU6H1NRUhIWFmbEyIiIi42DWERFRc8esIyJrxzPyGiA2NhZRUVHo27cv+vfvj5UrV+LGjRuYNGmSuUsjIiIyCmYdERE1d8w6IrJmnMhrgLFjx+LKlStYuHAh1Go1evfujeTk5FoLpRqTQqFAfHx8rVO5rQXrNy9rrt+aawesv35quZh1DWfN9Vtz7QDrNzdrr59arqbOOmv/XWH95sX6zcsS65cJXsudiIiIiIiIiIjI4nGNPCIiIiIiIiIiIivAiTwiIiIiIiIiIiIrwIk8IiIiIiIiIiIiK8CJPCIiIiIiIiIiIivAiTwLlpCQgICAADg4OCA0NBRHjhwx+T4XLVoEmUymd+vSpYvUXl5ejpiYGLRt2xatW7fGmDFjUFhYqDdGfn4+RowYAScnJ3h4eGDOnDmoqqrS67Nv3z706dMHCoUCHTt2RFJSUq1aDDn+/fv345lnnoGPjw9kMhm2b9+u1y6EwMKFC+Ht7Q1HR0eoVCqcO3dOr09xcTEmTJgApVIJFxcXREdH4/r163p9Tp48icceewwODg7w9fXFsmXLatWydetWdOnSBQ4ODujRowd2795931o2bdp0z/onTpxY698jMjLSIurv2LEjevTogTZt2sDDwwOjRo1Cbm6u3mMs6fVydy3du3dH796971n/E088Uev5nzp1qkXUX9dzSWSNmHXMOmbdbcw6Zh01X8y65p11ISEhePLJJ60y51QqFd58803069ePWWdNWSfIIm3evFnI5XKxfv16cfr0aTF58mTh4uIiCgsLTbrf+Ph4ERwcLAoKCqTblStXpPapU6cKX19fkZqaKo4ePSoGDBggBg4cKLVXVVWJ7t27C5VKJY4fPy52794t3N3dRVxcnNTnjz/+EE5OTiI2NlacOXNGrF69Wtja2ork5OQGH//u3bvF22+/LbZt2yYAiO+//16v/f333xfOzs5i+/bt4sSJE+LZZ58VgYGB4tatW1KfyMhI0atXL3H48GHx66+/io4dO4rx48dL7aWlpcLT01NMmDBBZGdni2+++UY4OjqKzz77TOpz8OBBYWtrK5YtWybOnDkj5s+fL+zt7cWpU6fuWYunp6eYN29evfVHRUWJyMhIvX+P4uJivT7mqr9du3bC3d1dZGZmiqysLDF8+HDh5+cnrl+/bpGvl7trcXZ2Fh07dhTZ2dn11v/444+LyZMn6z3/paWlFlH/3c8lkTVi1jHrhGDWGfP1wqwjsjzMuuafdaGhocLZ2Vls3rzZ6nLu2WefFY6OjuLzzz+/Z1ZY0uuFWScEJ/IsVP/+/UVMTIx0v7q6Wvj4+IilS5eadL/x8fGiV69edbaVlJQIe3t7sXXrVmnb2bNnBQCRnp4uhLj9BmxjYyPUarXUZ+3atUKpVAqtViuEEGLu3LkiODhYb+yxY8eKiIgI6X5jjv/uN02dTie8vLzE8uXL9Y5BoVCIb775RgghxJkzZwQA8dtvv0l9fvzxRyGTycSlS5eEEEJ8+umnwtXVVapfCCHmzZsnOnfuLN1/8cUXxYgRI/TqCQ0NFa+//rrBtdT3pj9y5Mh6j9mS6i8qKhIAxC+//CK1W8rrxZBa7q5fiNtv+DNnzhT1saT6iawRs45ZJwSzTghmnaH1E1kjZl3LyjprzzkhmHXmrt8Q/GqtBaqoqEBmZiZUKpW0zcbGBiqVCunp6Sbf/7lz5+Dj44OgoCBMmDAB+fn5AIDMzExUVlbq1dWlSxf4+flJdaWnp6NHjx7w9PSU+kRERECj0eD06dNSnzvHqOlTM4axjj8vLw9qtVpvHGdnZ4SGhurV6+Ligr59+0p9VCoVbGxskJGRIfUZPHgw5HK5Xr25ubm4du2aQcdkSC312bdvHzw8PNC5c2dMmzYNV69eldosqf7S0lIAgJubGwDLer0YUsvd9dfYuHEj3N3d0b17d8TFxeHmzZt6z7+l1E9kbZh1zLo7MeuYdcw6ao6Ydcy6GtaScwCzztz1G8LO4J7UZP766y9UV1frvYgAwNPTEzk5OSbdd2hoKJKSktC5c2cUFBRg8eLFeOyxx5CdnQ21Wg25XA4XF5dadanVagCAWq2us+6atnv10Wg0uHXrFq5du2aU46/ZX13j3FmLh4eHXrudnR3c3Nz0+gQGBtZ7TK6urvUe051j3K+WukRGRmL06NEIDAzE77//jrfeegvDhg1Deno6bG1tLaZ+nU6HWbNm4dFHH0X37t2lx1jK6+V+tdRVPwC89NJL8Pf3h4+PD06ePIl58+YhNzcX27Zts6j6iawRs45ZV4NZx6wz9LkksjbMOmYdYD05B4BZZ+b6DcWJPNIzbNgw6eeePXsiNDQU/v7+2LJlCxwdHc1YWcs0btw46ecePXqgZ8+e6NChA/bt24ehQ4easTJ9MTExyM7OxoEDB8xdSqPUV/+UKVOkn3v06AFvb28MHToUv//+Ozp06NDUZRKRkTDrLAuzrmkw64haFmad5bCWnAOYddaCX621QO7u7rC1ta115ZLCwkJ4eXk1aS0uLi54+OGHcf78eXh5eaGiogIlJSX11uXl5VVn3TVt9+qjVCrh6OhotOOv6Xuvcby8vFBUVKTXXlVVheLiYqMc053t96vFEEFBQXB3d8f58+ctpv6cnBzs3LkTe/fuRfv27aU2S3q93KuWgwcP1ll/XUJDQwFA7/k3d/1N/Z5AZCzMOmZdfZh1/+vDrGPWkXVj1jHr6mKJOefl5YXp06cz68xYf0N+JziRZ4HkcjlCQkKQmpoqbdPpdEhNTUVYWFiT1nL9+nX8/vvv8Pb2RkhICOzt7fXqys3NRX5+vlRXWFgYTp06pfdGlJKSAqVSiW7dukl97hyjpk/NGMY6/sDAQHh5eemNo9FokJGRoVdvSUkJMjMzpT5paWnQ6XTSL3dYWBj279+PyspKvXo7d+4MV1dXg47JkFoM8eeff+Lq1avw9vY2e/2lpaU4cOAALl68iLS0tFqnelvS66WuWnJycpCfn4/c3Nw6669LVlYWAOg9/+aq/+7nksjaMOuYdfVh1tWujVnHrCPrxKxj1tXFknJOo9Hg8OHDyMnJwffff8+ss5asM/iyGNSkNm/eLBQKhUhKShJnzpwRU6ZMES4uLnpXUTGFN998U+zbt0/k5eWJgwcPCpVKJdzd3UVRUZEQ4valkv38/ERaWpo4evSoCAsLE2FhYdLjay7bHB4eLrKyskRycrJo165dnZdtnjNnjjh79qxISEio87LNhhx/WVmZOH78uDh+/LgAIFasWCGOHz8u/vvf/wohbl9e28XFRezYsUOcPHlSjBw5ss7LlD/yyCMiIyNDHDhwQHTq1EnvUt8lJSXC09NTvPLKKyI7O1ts3rxZODk51brUt52dnfjwww/F2bNnRXx8fJ2X+r67Fn9/f3H48OE66y8rKxP/+Mc/RHp6usjLyxN79uwRffr0EZ06dRLl5eVmrz8gIEDY2NiIn3/+We8y3jdv3pQeY0mvl7tr8fT0FLa2tmLfvn111n/+/HmxZMkScfToUZGXlyd27NghgoKCxODBgy2i/rufSyJrxKxj1jHrjPt6YdYRWR5mXfPPuhEjRggfHx9x+PBhq8u5kSNHijZt2ghnZ+d6s8LSXi/MOiE4kWfBVq9eLfz8/IRcLhf9+/cXhw8fNvk+x44dK7y9vYVcLhcPPfSQGDt2rDh//rzUfuvWLfH3v/9duLq6CicnJ/Hcc8+JgoICvTEuXLgghg0bJhwdHYW7u7t48803RWVlpV6fvXv3it69ewu5XC6CgoLEhg0batViyPHv3btXAKh1i4qKEkLcvsT2ggULhKenp1AoFGLo0KEiNzdXb4yrV6+K8ePHi9atWwulUikmTZokysrK9PqcOHFCDBo0SCgUCvHQQw+J999/v1YtW7ZsEQ8//LCQy+UiODhY7Nq1S6+9rlq++uqreuu/efOmCA8PF+3atRP29vbC399fTJ48uVbomav+uuoGoPdvaUmvl7truV/9+fn5YvDgwcLNzU0oFArRsWNHMWfOHFFaWmoR9df1XBJZI2Yds45ZdxuzjllHzRezrnlnXZ8+faw254YOHcqsM3P9jck6mRBCGH7+HhEREREREREREZkD18gjIiIiIiIiIiKyApzIIyIiIiIiIiIisgKcyCMiIiIiIiIiIrICnMgjIiIiIiIiIiKyApzIIyIiIiIiIiIisgKcyCMiIiIiIiIiIrICnMgjIiIiIiIiIiKyApzIIyIiIiIiIiIisgKcyCMiIiIiIiIiIrICnMgjMgG1Wo0ZM2YgKCgICoUCvr6+eOaZZ5CamgoACAgIgEwmg0wmg6OjIwICAvDiiy8iLS2t1lipqakYOHAg2rRpAy8vL8ybNw9VVVVS+4ULF6Sx7rwdPny4yY6XiIjImNn322+/YejQoXBxcYGrqysiIiJw4sSJpj4kIiJq4YyVbSdOnMD48ePh6+sLR0dHdO3aFatWrdLrM3HixDo/1wUHBzfZ8ZJ14EQekZFduHABISEhSEtLw/Lly3Hq1CkkJydjyJAhiImJkfotWbIEBQUFyM3NxVdffQUXFxeoVCq89957Up8TJ05g+PDhiIyMxPHjx/Htt9/ihx9+wD//+c9a+92zZw8KCgqkW0hISJMcLxERkTGz7/r164iMjISfnx8yMjJw4MABtGnTBhEREaisrDTH4RERUQtkzGzLzMyEh4cHvv76a5w+fRpvv/024uLisGbNGqnPqlWr9D7PXbx4EW5ubnjhhRea9LjJ8smEEMLcRRA1J8OHD8fJkyeRm5uLVq1a6bWVlJTAxcUFAQEBmDVrFmbNmqXXHh8fj3fffRdnzpxB586d8dZbbyElJQW//fab1Off//43XnzxRRQVFaFNmza4cOECAgMDcfz4cfTu3bsJjpCIiEifMbPv6NGj6NevH/Lz8+Hr6wsAOHXqFHr27Ilz586hY8eOTXVYRETUghkz2+oSExODs2fP1nlmOgBs374do0ePRl5eHvz9/Y1yTNQ88Iw8IiMqLi5GcnIyYmJiar3ZA4CLi8s9Hz9z5kwIIbBjxw4AgFarhYODg14fR0dHlJeXIzMzU2/7s88+Cw8PDwwaNAg//PDDgx0IERGRgYydfZ07d0bbtm2xbt06VFRU4NatW1i3bh26du2KgIAAExwBERGRPmNnW11KS0vh5uZWb/u6deugUqk4iUe1cCKPyIjOnz8PIQS6dOnSqMe7ubnBw8MDFy5cAABERETg0KFD+Oabb1BdXY1Lly5hyZIlAICCggIAQOvWrfHRRx9h69at2LVrFwYNGoRRo0ZxMo+IiJqEsbOvTZs22LdvH77++ms4OjqidevWSE5Oxo8//gg7OzsjVk5ERFQ3Y2fb3Q4dOoRvv/0WU6ZMqbP98uXL+PHHH/Haa681av/UvHEij8iIjPFNdSEEZDIZACA8PBzLly/H1KlToVAo8PDDD2P48OEAABub27++7u7uiI2NRWhoKPr164f3338fL7/8MpYvX/7AtRAREd2PsbPv1q1biI6OxqOPPorDhw/j4MGD6N69O0aMGIFbt2498L6IiIjux9jZdqfs7GyMHDkS8fHxCA8Pr/OxX375JVxcXDBq1KgHroOaH07kERlRp06dIJPJkJOT06jHX716FVeuXEFgYKC0LTY2FiUlJcjPz8dff/2FkSNHAgCCgoLqHSc0NBTnz59vVA1EREQNYezs27RpEy5cuIANGzagX79+GDBgADZt2oS8vLx7fkWJiIjIWEzxuQ4Azpw5g6FDh2LKlCmYP39+nY8VQmD9+vV45ZVXIJfLG7V/at44kUdkRG5uboiIiEBCQgJu3LhRq72kpOSej1+1ahVsbGxq/eVFJpPBx8cHjo6O+Oabb+Dr64s+ffrUO05WVha8vb0bcwhEREQNYuzsu3nzJmxsbPTOYqi5r9PpjFk6ERFRnUzxue706dMYMmQIoqKi9K5oe7dffvkF58+fR3R0dGPLp2aOC40QGVlCQgIeffRR9O/fH0uWLEHPnj1RVVWFlJQUrF27FmfPngUAlJWVQa1Wo7KyEnl5efj666/xxRdfYOnSpXpX5Fu+fDkiIyNhY2ODbdu24f3338eWLVtga2sL4PZp13K5HI888ggAYNu2bVi/fj2++OKLpj94IiJqkYyZfU899RTmzJmDmJgYzJgxAzqdDu+//z7s7OwwZMgQcx4mERG1IMbMtuzsbDz55JOIiIhAbGws1Go1AMDW1hbt2rXT2++6desQGhqK7t27N+0Bk9WQCWN8+ZuI9BQUFOC9997Dzp07UVBQgHbt2iEkJASzZ8/GE088gYCAAPz3v/8FAMjlcnh5eWHAgAGYOnVqrQ8pTz75JI4dOwatVotevXohPj4ew4YNk9q//PJLfPDBB/jvf/8LOzs7dOnSBXPmzMHzzz/fpMdMREQtmzGzLyUlBYsXL0Z2djZsbGzwyCOP4L333sOAAQPMcWhERNRCGSvbFi1ahMWLF9ca39/fX++CGKWlpfD29saqVaswefJkkx8fWSdO5BEREREREREREVkBs66Rt3TpUvTr1w9t2rSBh4cHRo0ahdzcXL0+5eXliImJQdu2bdG6dWuMGTMGhYWFen3y8/MxYsQIODk5wcPDA3PmzEFVVZVen3379qFPnz5QKBTo2LEjkpKSatWTkJCAgIAAODg4IDQ0FEeOHGlwLURERERERERERKZg1om8X375BTExMTh8+DBSUlJQWVmJ8PBwvcUkZ8+ejX//+9/YunUrfvnlF1y+fBmjR4+W2qurqzFixAhUVFTg0KFD+PLLL5GUlISFCxdKffLy8jBixAgMGTIEWVlZmDVrFl577TX89NNPUp9vv/0WsbGxiI+Px7Fjx9CrVy9ERESgqKjI4FqIiIiIiIiIiIhMxaK+WnvlyhV4eHjgl19+weDBg1FaWop27dph06ZN0npfOTk56Nq1K9LT0zFgwAD8+OOPePrpp3H58mV4enoCABITEzFv3jxcuXIFcrkc8+bNw65du5CdnS3ta9y4cSgpKUFycjIAIDQ0FP369cOaNWsAADqdDr6+vpgxYwb++c9/GlTL/eh0Oly+fBlt2rTRuxIbEVFjCCFQVlYGHx8f2NjwIuRkGZh1RGRMzDqyRMw6IjKWxuScRV21trS0FMDtSz0DQGZmJiorK6FSqaQ+Xbp0gZ+fnzR5lp6ejh49ekiTeAAQERGBadOm4fTp03jkkUeQnp6uN0ZNn1mzZgEAKioqkJmZibi4OKndxsYGKpUK6enpBtdyN61WC61WK92/dOkSunXr1tinh4ioThcvXkT79u3NXQYRAODy5cvw9fU1dxlE1Mww68iSMOuIyNgaknMWM5Gn0+kwa9YsPProo9JlltVqNeRyOVxcXPT6enp6SpdrVqvVepN4Ne01bffqo9FocOvWLVy7dg3V1dV19snJyTG4lrstXbq0zivTXLx4EUqlsr6ngojIIBqNBr6+vmjTpo25SyGS1LwemXVEZAzMOrJEzDoiMpbG5JzFTOTFxMQgOzsbBw4cMHcpRhMXF4fY2Fjpfs0/kFKpNOgNXwgBrVYLhULBU7aJqF58fyBLUvN6ZNYRkTHx/YEsSUOzjojofhqScxax0MT06dOxc+dO7N27V+9UQi8vL1RUVKCkpESvf2FhIby8vKQ+d185tub+/foolUo4OjrC3d0dtra2dfa5c4z71XI3hUIhvbk35k1eq9Xigx2Zel/PJSIiak6YdURE1BKUl5ejvLzc3GUQUTNg1ok8IQSmT5+O77//HmlpaQgMDNRrDwkJgb29PVJTU6Vtubm5yM/PR1hYGAAgLCwMp06d0ru6bEpKCpRKpbQeXVhYmN4YNX1qxpDL5QgJCdHro9PpkJqaKvUxpBZTsJcrTDY2ERGRJWDWEREREREZxqxfrY2JicGmTZuwY8cOtGnTRlprztnZGY6OjnB2dkZ0dDRiY2Ph5uYGpVKJGTNmICwsTLq4RHh4OLp164ZXXnkFy5Ytg1qtxvz58xETEwOF4vYHg6lTp2LNmjWYO3cuXn31VaSlpWHLli3YtWuXVEtsbCyioqLQt29f9O/fHytXrsSNGzcwadIkqab71UJERERERERERGQqZp3IW7t2LQDgiSee0Nu+YcMGTJw4EQDw8ccfw8bGBmPGjIFWq0VERAQ+/fRTqa+trS127tyJadOmISwsDK1atUJUVBSWLFki9QkMDMSuXbswe/ZsrFq1Cu3bt8cXX3yBiIgIqc/YsWNx5coVLFy4EGq1Gr1790ZycrLeBTDuVwsREREREREREZGpmP2rtXXdaibxAMDBwQEJCQkoLi7GjRs3sG3btlpr0vn7+2P37t24efMmrly5gg8//BB2dvpzlE888QSOHz8OrVaL33//XW8fNaZPn47//ve/0Gq1yMjIQGhoqF67IbUQERERERHR/yxatAgymUzv1qVLF6m9vLwcMTExaNu2LVq3bo0xY8bUWr88Pz8fI0aMgJOTEzw8PDBnzhxUVVXp9dm3bx/69OkDhUKBjh07IikpqVYtCQkJCAgIgIODA0JDQ3HkyBGTHDMRkalYxMUuiIiIiIiIqPkKDg5GQUGBdDtw4IDUNnv2bPz73//G1q1b8csvv+Dy5csYPXq01F5dXY0RI0agoqIChw4dwpdffomkpCQsXLhQ6pOXl4cRI0ZgyJAhyMrKwqxZs/Daa6/hp59+kvp8++23iI2NRXx8PI4dO4ZevXohIiJCb711IiJLx4k8IiIiIiIiMik7Ozt4eXlJN3d3dwBAaWkp1q1bhxUrVuDJJ59ESEgINmzYgEOHDuHw4cMAgJ9//hlnzpzB119/jd69e2PYsGF45513kJCQgIqKCgBAYmIiAgMD8dFHH6Fr166YPn06nn/+eXz88cdSDStWrMDkyZMxadIkdOvWDYmJiXBycsL69eub/gkhImqkRk3kBQUF4erVq7W2l5SUICgo6IGLIiIiMjdmHRERtXTGzMJz587Bx8cHQUFBmDBhAvLz8wEAmZmZqKyshEqlkvp26dIFfn5+SE9PBwCkp6ejR48eeuuXR0REQKPR4PTp01KfO8eo6VMzRkVFBTIzM/X62NjYQKVSSX3qo9VqodFo9G5ERObSqIm8CxcuoLq6utZ2rVaLS5cuPXBRRERE5sasIyKils5YWRgaGoqkpCQkJydj7dq1yMvLw2OPPYaysjKo1WrI5XK4uLjoPcbT0xNqtRoAoFar9Sbxatpr2u7VR6PR4NatW/jrr79QXV1dZ5+aMeqzdOlSODs7SzdfX1+Dj52IyNgadNXaH374Qfr5p59+grOzs3S/uroaqampCAgIMFpxRERETY1ZR0RELZ2xs3DYsGHSzz179kRoaCj8/f2xZcsWODo6GqVmU4qLi0NsbKx0X6PRcDKPiMymQRN5o0aNAgDIZDJERUXptdnb2yMgIAAfffSR0YojIiJqasw6IiJq6UydhS4uLnj44Ydx/vx5PPXUU6ioqEBJSYneWXmFhYXw8vICAHh5edW6umzNVW3v7HP3lW4LCwuhVCrh6OgIW1tb2Nra1tmnZoz6KBQKKBSKRh0rEZGxNeirtTqdDjqdDn5+figqKpLu63Q6aLVa5Obm4umnnzZVrURERCZn7Kzbv38/nnnmGfj4+EAmk2H79u167UIILFy4EN7e3nB0dIRKpcK5c+f0+hQXF2PChAlQKpVwcXFBdHQ0rl+/rtfn5MmTeOyxx+Dg4ABfX18sW7asVi1bt25Fly5d4ODggB49emD37t0NroWIiJo/U3/uu379On7//Xd4e3sjJCQE9vb2SE1Nldpzc3ORn5+PsLAwAEBYWBhOnTqld3XZlJQUKJVKdOvWTepz5xg1fWrGkMvlCAkJ0euj0+mQmpoq9SEisgaNWiMvLy9PusoQERFRc2SsrLtx4wZ69eqFhISEOtuXLVuGTz75BImJicjIyECrVq0QERGB8vJyqc+ECRNw+vRppKSkYOfOndi/fz+mTJkitWs0GoSHh8Pf3x+ZmZlYvnw5Fi1ahM8//1zqc+jQIYwfPx7R0dE4fvw4Ro0ahVGjRiE7O7tBtRARUcthrCz8xz/+gV9++QUXLlzAoUOH8Nxzz8HW1hbjx4+Hs7MzoqOjERsbi7179yIzMxOTJk1CWFgYBgwYAAAIDw9Ht27d8Morr+DEiRP46aefMH/+fMTExEhnyk2dOhV//PEH5s6di5ycHHz66afYsmULZs+eLdURGxuL//u//8OXX36Js2fPYtq0abhx4wYmTZr0wMd4L0IIlJeXQwhh0v0QUcvQoK/W3ik1NRWpqanSX2juxMt3ExFRc2CMrBs2bJje2kB3EkJg5cqVmD9/PkaOHAkA+Oqrr+Dp6Ynt27dj3LhxOHv2LJKTk/Hbb7+hb9++AIDVq1dj+PDh+PDDD+Hj44ONGzeioqIC69evh1wuR3BwMLKysrBixQppwm/VqlWIjIzEnDlzAADvvPMOUlJSsGbNGiQmJhpUCxERtTzGyMI///wT48ePx9WrV9GuXTsMGjQIhw8fRrt27QAAH3/8MWxsbDBmzBhotVpERETg008/lR5va2uLnTt3Ytq0aQgLC0OrVq0QFRWFJUuWSH0CAwOxa9cuzJ49G6tWrUL79u3xxRdfICIiQuozduxYXLlyBQsXLoRarUbv3r2RnJxc6wIYxqbVavHhv4/hH8/0sYo1AYnIsjVqIm/x4sVYsmQJ+vbtC29vb8hkMmPXRUREZFZNkXV5eXlQq9VQqVTSNmdnZ4SGhiI9PR3jxo1Deno6XFxcpEk8AFCpVLCxsUFGRgaee+45pKenY/DgwZDL5VKfiIgIfPDBB7h27RpcXV2Rnp6ut1B3TZ+ar/oaUktdtFottFqtdF+j0TzQc0JERJbDWFm4efPme7Y7ODggISGh3rPXAcDf37/WkhB3e+KJJ3D8+PF79pk+fTqmT59+zz6mYC/nGntEZByNmshLTExEUlISXnnlFWPXQ0REZBGaIuvUajUA1DoTwNPTU2pTq9Xw8PDQa7ezs4Obm5ten8DAwFpj1LS5urpCrVbfdz/3q6UuS5cuxeLFi+9/sEREZHX4uY+IyPI0ao28iooKDBw40Ni1EBERWQxmnWHi4uJQWloq3S5evGjukoiIyEiYhURElqdRE3mvvfYaNm3aZOxaiIiILEZTZJ2XlxcAoLCwUG97YWGh1Obl5aV3lT4AqKqqQnFxsV6fusa4cx/19bmz/X611EWhUECpVOrdiIioeeDnPiIiy9Oor9aWl5fj888/x549e9CzZ0/Y29vrta9YscIoxREREZlLU2RdYGAgvLy8kJqait69ewO4vcZcRkYGpk2bBgAICwtDSUkJMjMzERISAgBIS0uDTqdDaGio1Oftt99GZWWlVGdKSgo6d+4MV1dXqU9qaipmzZol7T8lJQVhYWEG10JERC0LP/cREVmeRk3knTx5Uvqf/OzsbL02XviCiIiaA2Nl3fXr13H+/Hnpfl5eHrKysuDm5gY/Pz/MmjUL7777Ljp16oTAwEAsWLAAPj4+GDVqFACga9euiIyMxOTJk5GYmIjKykpMnz4d48aNg4+PDwDgpZdewuLFixEdHY158+YhOzsbq1atwscffyztd+bMmXj88cfx0UcfYcSIEdi8eTOOHj2Kzz//XDqm+9VCREQtCz/3ERFZnkZN5O3du9fYdRAREVkUY2Xd0aNHMWTIEOl+zZVjo6KikJSUhLlz5+LGjRuYMmUKSkpKMGjQICQnJ8PBwUF6zMaNGzF9+nQMHToUNjY2GDNmDD755BOp3dnZGT///DNiYmIQEhICd3d3LFy4EFOmTJH6DBw4EJs2bcL8+fPx1ltvoVOnTti+fTu6d+8u9TGkFiIiajn4uY+IyPLIhBDC3EW0FBqNBs7OzigtLTVoDaHy8nKs+DEbscO680MUEdXS0PcUoqbArCMiY2LWkSVqTNZ9sCMTMyOC4eLiYvoCichqNCbnGnVG3pAhQ+55KnVaWlpjhiUiIrIYzDoiImrpmIVERJanURN5Nesk1KisrERWVhays7MRFRVljLqIiIjMillHREQtHbOQiMjyNGoi787Fs++0aNEiXL9+/YEKIiIisgTMOiIiaumYhURElsfGmIO9/PLLWL9+vTGHJCIisijMOiIiaumYhURE5mPUibz09HQuVE1ERM0as46IiFo6ZiERkfk06qu1o0eP1rsvhEBBQQGOHj2KBQsWGKUwIiIic2LWERFRS8csJCKyPI2ayHN2dta7b2Njg86dO2PJkiUIDw83SmFERETmxKwjIqKWjllIRGR5GjWRt2HDBmPXQUREZFGYdURE1NIxC4mILE+jJvJqZGZm4uzZswCA4OBgPPLII0YpioiIyFIw64iIqKVjFhIRWY5GTeQVFRVh3Lhx2LdvH1xcXAAAJSUlGDJkCDZv3ox27doZs0YiIqImx6wjIqKWjllIRGR5GnXV2hkzZqCsrAynT59GcXExiouLkZ2dDY1GgzfeeMPYNRIRETU5Zh0REbV0zEIiIsvTqDPykpOTsWfPHnTt2lXa1q1bNyQkJHDRUyIiahaYdU1HCIHy8nIoFArIZDJzl0NERP8/ZiERkeVp1Bl5Op0O9vb2tbbb29tDp9M9cFFERETmxqxrOlWVFVix6wS0Wq25SyEiojswC4mILE+jJvKefPJJzJw5E5cvX5a2Xbp0CbNnz8bQoUONVhwREZG5MOualp1cYe4SiIjoLsxC46k5+1wIYe5SiMjKNWoib82aNdBoNAgICECHDh3QoUMHBAYGQqPRYPXq1caukYiIqMkx64iIqKVjFhpPVWUFPvn5DM8+J6IH1qg18nx9fXHs2DHs2bMHOTk5AICuXbtCpVIZtTgiIiJzYdYREVFLxyw0Ljt7ublLIKJmoEFn5KWlpaFbt27QaDSQyWR46qmnMGPGDMyYMQP9+vVDcHAwfv31V1PVSkREZHLMOiIiaumYhURElqtBE3krV67E5MmToVQqa7U5Ozvj9ddfx4oVK4xWHBERUVNj1hERUUvHLCQislwNmsg7ceIEIiMj620PDw9HZmbmAxdFRERkLsw6IiJq6ZiFRESWq0ETeYWFhXVefryGnZ0drly58sBFERERmQuzjoiIWjpmIRGR5WrQRN5DDz2E7OzsettPnjwJb2/vBy6KiIjIXJh1RETU0jELiYgsV4Mm8oYPH44FCxagvLy8VtutW7cQHx+Pp59+2mjFERERNTVmnXlUVmjrfM6JiKjpMQtNQwiB8vJyCCHMXQoRWTG7hnSeP38+tm3bhocffhjTp09H586dAQA5OTlISEhAdXU13n77bZMUSkRE1BSYdURE1NIxC02jurICK3adwFtjQuHg4GDucojISjVoIs/T0xOHDh3CtGnTEBcXJ/0lQSaTISIiAgkJCfD09DRJoURERE2BWUdERC0ds9B07OQKc5dARFauQRN5AODv74/du3fj2rVrOH/+PIQQ6NSpE1xdXU1RX4tXc/q1QqGATCYzdzlERC0Cs46IiFo6ZqFpCCFw69YtCCHg4ODAz3hE1GANnsir4erqin79+hmzFqpDFU+/JiIyG2YdERG1dMxC4yq/UYal32XA1kaGmcN7wdPTk5N5RNQgDbrYBZkHT78mIqLmjguAExFRS2Fnbw/IZPjo38ehVqulM/SIiAzBibwGSkhIQEBAABwcHBAaGoojR46YuyQiIiKjMkfWVVdW4JOfz0Cr1Zp8X0RERJbwuU4G4ONdJ/Cv7zJQWlrKyTwiMggn8hrg22+/RWxsLOLj43Hs2DH06tULERERKCoqMndpRERERmHOrLOzl5t8H0RERJb0uc7O3h5VlRX4YEcmJ/OIyCCcyGuAFStWYPLkyZg0aRK6deuGxMREODk5Yf369Sbdb4W2HCUlJXxTJyIikzNX1gFAJfOOiIiagDmzrj4yAB9sy4BarcbNmzdr3fj1WyKq0eiLXbQ0FRUVyMzMRFxcnLTNxsYGKpUK6enpdT5Gq9XqfUWotLQUAKDRaAzaZ3l5Oa6XFqPi1i0s/X9X8eaz/XjBC6JmrKG/3zXvJfyfOjIWc2ddVbUOS//fQeYdUTPGrCNzM1fW3Si9Bp0AoKsGbGwBXTWqqnW318u7Y9u7m38BdDpUV1fB1l4O6HSAjQ0cHBwxc8QjzEciK9CQ39PG5Bwn8gz0119/obq6Gp6ennrbPT09kZOTU+djli5disWLF9fa7uvr26gaPpnRqIcRUTNXVlYGZ2dnc5dBzYAlZB3AvCOi2ph1ZCyWknWNsaJJ90ZETakhOceJPBOKi4tDbGysdF+n06G4uBht27Y1+BLjGo0Gvr6+uHjxIpRKpalKNRnWb17WXL811w40Tf1CCJSVlcHHx8ck4xMZglln3fVbc+0A6zc3Zh21FMw61m9O1lw7wPrvpzE5x4k8A7m7u8PW1haFhYV62wsLC+Hl5VXnYxQKBRQKhd42FxeXRu1fqVRa5Yu+Bus3L2uu35prB0xfP89OIGNi1j0Ya67fmmsHWL+5MevImjDrHgzrNx9rrh1g/ffS0JzjxS4MJJfLERISgtTUVGmbTqdDamoqwsLCzFgZERGRcTDriIiouWPWEZG14xl5DRAbG4uoqCj07dsX/fv3x8qVK3Hjxg1MmjTJ3KUREREZBbOOiIiaO2YdEVkzTuQ1wNixY3HlyhUsXLgQarUavXv3RnJycq2FUo1JoVAgPj6+1qnc1oL1m5c112/NtQPWXz+1XMy6hrPm+q25doD1m5u1108tF7Ou4Vi/+Vhz7QDrNwWZ4LXciYiIiIiIiIiILB7XyCMiIiIiIiIiIrICnMgjIiIiIiIiIiKyApzIIyIiIiIiIiIisgKcyCMiIiIiIiIiIrICnMizYAkJCQgICICDgwNCQ0Nx5MgRk+9z0aJFkMlkercuXbpI7eXl5YiJiUHbtm3RunVrjBkzBoWFhXpj5OfnY8SIEXBycoKHhwfmzJmDqqoqvT779u1Dnz59oFAo0LFjRyQlJdWqxZDj379/P5555hn4+PhAJpNh+/bteu1CCCxcuBDe3t5wdHSESqXCuXPn9PoUFxdjwoQJUCqVcHFxQXR0NK5fv67X5+TJk3jsscfg4OAAX19fLFu2rFYtW7duRZcuXeDg4IAePXpg9+7d961l06ZN96x/4sSJtf49IiMjLaL+jh07okePHmjTpg08PDwwatQo5Obm6j3Gkl4vd9fSvXt39O7d+571P/HEE7We/6lTp1pE/XU9l0TWiFnHrGPW3casY9ZR88WsY9Yx625j1hkp6wRZpM2bNwu5XC7Wr18vTp8+LSZPnixcXFxEYWGhSfcbHx8vgoODRUFBgXS7cuWK1D516lTh6+srUlNTxdGjR8WAAQPEwIEDpfaqqirRvXt3oVKpxPHjx8Xu3buFu7u7iIuLk/r88ccfwsnJScTGxoozZ86I1atXC1tbW5GcnNzg49+9e7d4++23xbZt2wQA8f333+u1v//++8LZ2Vls375dnDhxQjz77LMiMDBQ3Lp1S+oTGRkpevXqJQ4fPix+/fVX0bFjRzF+/HipvbS0VHh6eooJEyaI7Oxs8c033whHR0fx2WefSX0OHjwobG1txbJly8SZM2fE/Pnzhb29vTh16tQ9a/H09BTz5s2rt/6oqCgRGRmp9+9RXFys18dc9bdr1064u7uLzMxMkZWVJYYPHy78/PzE9evXLfL1cnctzs7OomPHjiI7O7ve+h9//HExefJkvee/tLTUIuq/+7kkskbMOmadEMw6Y75emHVElodZx6wTgllnzNcLs04ITuRZqP79+4uYmBjpfnV1tfDx8RFLly416X7j4+NFr1696mwrKSkR9vb2YuvWrdK2s2fPCgAiPT1dCHH7DdjGxkao1Wqpz9q1a4VSqRRarVYIIcTcuXNFcHCw3thjx44VERER0v3GHP/db5g6nU54eXmJ5cuX6x2DQqEQ33zzjRBCiDNnzggA4rfffpP6/Pjjj0Imk4lLly4JIYT49NNPhaurq1S/EELMmzdPdO7cWbr/4osvihEjRujVExoaKl5//XWDa6nvDX/kyJH1HrMl1V9UVCQAiF9++UVqt5TXiyG13F2/ELff8GfOnCnqY0n1E1kjZh2zTghmnRDMOkPrJ7JGzDpmnRDMOiGYdYbWbwh+tdYCVVRUIDMzEyqVStpmY2MDlUqF9PR0k+//3Llz8PHxQVBQECZMmID8/HwAQGZmJiorK/Xq6tKlC/z8/KS60tPT0aNHD3h6ekp9IiIioNFocPr0aanPnWPU9KkZw1jHn5eXB7VarTeOs7MzQkND9ep1cXFB3759pT4qlQo2NjbIyMiQ+gwePBhyuVyv3tzcXFy7ds2gYzKklvrs27cPHh4e6Ny5M6ZNm4arV69KbZZUf2lpKQDAzc0NgGW9Xgyp5e76a2zcuBHu7u7o3r074uLicPPmTb3n31LqJ7I2zDpm3Z2Ydcw6Zh01R8w6Zt2dmHXMOmNlnZ3BPanJ/PXXX6iurtZ7EQGAp6cncnJyTLrv0NBQJCUloXPnzigoKMDixYvx2GOPITs7G2q1GnK5HC4uLrXqUqvVAAC1Wl1n3TVt9+qj0Whw69YtXLt2zSjHX7O/usa5sxYPDw+9djs7O7i5uen1CQwMrPeYXF1d6z2mO8e4Xy11iYyMxOjRoxEYGIjff/8db731FoYNG4b09HTY2tpaTP06nQ6zZs3Co48+iu7du0uPsZTXy/1qqat+AHjppZfg7+8PHx8fnDx5EvPmzUNubi62bdtmUfUTWSNmHbOuBrOOWWfoc0lkbZh1zLoazDpmnaHPpSE4kUd6hg0bJv3cs2dPhIaGwt/fH1u2bIGjo6MZK2uZxo0bJ/3co0cP9OzZEx06dMC+ffswdOhQM1amLyYmBtnZ2Thw4IC5S2mU+uqfMmWK9HOPHj3g7e2NoUOH4vfff0eHDh2aukwiMhJmnWVh1jUNZh1Ry8KssyzMuqbRUrKOX621QO7u7rC1ta115ZLCwkJ4eXk1aS0uLi54+OGHcf78eXh5eaGiogIlJSX11uXl5VVn3TVt9+qjVCrh6OhotOOv6Xuvcby8vFBUVKTXXlVVheLiYqMc053t96vFEEFBQXB3d8f58+ctpv6cnBzs3LkTe/fuRfv27aU2S3q93KuWgwcP1ll/XUJDQwFA7/k3d/1N/Z5AZCzMOmZdfZh1/+vDrGPWkXVj1jHr6sOs+18fZl3DXz+cyLNAcrkcISEhSE1NlbbpdDqkpqYiLCysSWu5fv06fv/9d3h7eyMkJAT29vZ6deXm5iI/P1+qKywsDKdOndJ7E0pJSYFSqUS3bt2kPneOUdOnZgxjHX9gYCC8vLz0xtFoNMjIyNCrt6SkBJmZmVKftLQ06HQ66Zc7LCwM+/fvR2VlpV69nTt3hqurq0HHZEgthvjzzz9x9epVeHt7m73+0tJSHDhwABcvXkRaWlqt07wt6fVSVy05OTnIz89Hbm5unfXXJSsrCwD0nn9z1X/3c0lkbZh1zLr6MOtq18asY9aRdWLWMevqw6yrXRuzrgHvCQZfFoOa1ObNm4VCoRBJSUnizJkzYsqUKcLFxUXvKiqm8Oabb4p9+/aJvLw8cfDgQaFSqYS7u7soKioSQty+VLKfn59IS0sTR48eFWFhYSIsLEx6fM1lm8PDw0VWVpZITk4W7dq1q/OyzXPmzBFnz54VCQkJdV622ZDjLysrE8ePHxfHjx8XAMSKFSvE8ePHxX//+18hxO1La7u4uIgdO3aIkydPipEjR9Z5mfJHHnlEZGRkiAMHDohOnTrpXea7pKREeHp6ildeeUVkZ2eLzZs3Cycnp1qX+bazsxMffvihOHv2rIiPj6/zMt931+Lv7y8OHz5cZ/1lZWXiH//4h0hPTxd5eXliz549ok+fPqJTp06ivLzc7PUHBAQIGxsb8fPPP+tdxvvmzZvSYyzp9XJ3LZ6ensLW1lbs27evzvrPnz8vlixZIo4ePSry8vLEjh07RFBQkBg8eLBF1H/3c0lkjZh1zDpmnXFfL8w6IsvDrGPWMeuM+3ph1gnBiTwLtnr1auHn5yfkcrno37+/OHz4sMn3OXbsWOHt7S3kcrl46KGHxNixY8X58+el9lu3bom///3vwtXVVTg5OYnnnntOFBQU6I1x4cIFMWzYMOHo6Cjc3d3Fm2++KSorK/X67N27V/Tu3VvI5XIRFBQkNmzYUKsWQ45/7969AkCtW1RUlBDi9uW1FyxYIDw9PYVCoRBDhw4Vubm5emNcvXpVjB8/XrRu3VoolUoxadIkUVZWptfnxIkTYtCgQUKhUIiHHnpIvP/++7Vq2bJli3j44YeFXC4XwcHBYteuXXrtddXy1Vdf1Vv/zZs3RXh4uGjXrp2wt7cX/v7+YvLkybVCz1z111U3AL1/S0t6vdxdy/3qz8/PF4MHDxZubm5CoVCIjh07ijlz5ojS0lKLqL+u55LIGjHrmHXMutuYdcw6ar6Ydcw6Zt1tzDrjZJ1MCCEMP3+PiIiIiIiIiIiIzIFr5BEREREREREREVkBTuQRERERERERERFZAU7kERERERERERERWQFO5BEREREREREREVkBTuQRERERERERERFZAU7kERERERERERERWQFO5BEREREREREREVkBTuQRERERERERERFZAU7kERERERERERERWQFO5BEZgVqtxowZMxAUFASFQgFfX18888wzSE1NxeXLl+Hq6opPPvlE7zEZGRmwt7fHzz//DACoqKjAsmXL0KtXLzg5OcHd3R2PPvooNmzYgMrKSgDAxIkTIZPJIJPJYG9vj8DAQMydOxfl5eV11qXVatG7d2/IZDJkZWWZ9DkgIqKW5V7ZV+P48eN44YUX4OnpCQcHB3Tq1AmTJ0/Gf/7zHwDAhQsXpFyTyWRwc3PD448/jl9//VVvX0888YRev5rbiBEjmvSYiYiIiMyNE3lED+jChQsICQlBWloali9fjlOnTiE5ORlDhgxBTEwMfHx8sHr1asTFxeHcuXMAgFu3biEqKgqvvfYawsPDUVFRgYiICLz//vuYMmUKDh06hCNHjiAmJgarV6/G6dOnpf1FRkaioKAAf/zxBz7++GN89tlniI+Pr7O2uXPnwsfHp0meByIiajnul30AsHPnTgwYMABarRYbN27E2bNn8fXXX8PZ2RkLFizQG2/Pnj0oKCjA/v374ePjg6effhqFhYVS+7Zt21BQUCDdsrOzYWtrixdeeKFJj5uIiCzbxIkTMWrUqDrbAgICsHLlSlRUVMDd3R3vv/9+nf3eeecdeHp6orKyEklJSXX+IcnBwaHW4yZNmoT58+cDgF7fVq1aoVOnTpg4cSIyMzP1HrNv3746x5fJZFCr1Xp9//zzT8jlcnTv3r3Oug3dJ1k/O3MXQGTt/v73v0Mmk+HIkSNo1aqVtD04OBivvvoqAODll1/Gtm3bMHHiRPz666+Ii4tDZWUlli9fDgBYuXIl9u/fj6NHj+KRRx6RxggKCsILL7yAiooKaZtCoYCXlxcAwNfXFyqVCikpKfjggw/06vrxxx/x888/47vvvsOPP/5osuMnIqKW537Zd/PmTUyaNAnDhw/H999/L7UHBgYiNDQUJSUleuO1bdsWXl5e8PLywltvvYXNmzcjIyMDzz77LADAzc1Nr//mzZvh5OTEiTwiImowuVyOl19+GRs2bMA///lPvTYhBJKSkvC3v/0N9vb2AAClUonc3Fy9fjKZTO9+dXU1du7ciV27dknbNmzYgMjISJSXl+M///kPPv/8c4SGhmL9+vX429/+pvf43NxcKJVKvW0eHh5695OSkvDiiy9i//79yMjIQGhoaK1ja8g+yXpxIo/oARQXFyM5ORnvvfee3geZGi4uLtLPiYmJ6N69OyZMmICtW7ciLS0NrVu3BgBs3LgRKpVKbxKvhr29vRQid8vOzsahQ4fg7++vt72wsBCTJ0/G9u3b4eTk9ABHSEREpM+Q7Pv+++/x119/Ye7cuXWOcWc+3unWrVv46quvANz+oFWfdevWYdy4cXXun4iI6H6io6OxatUqHDhwAIMGDZK2//LLL/jjjz8QHR0tbZPJZNKJFPU5dOgQ7O3t0a9fP2mbi4uL9LiAgACEh4cjKioK06dPxzPPPANXV1epr4eHR73ZCNyeYNywYQM+/fRTtG/fHuvWratzIq8h+yTrxa/WEj2A8+fPQwiBLl263Levh4cH3nnnHWzevBlTpkzB4MGDpbZz584ZNAZw+6tKrVu3hoODA3r06IGioiLMmTNHahdCYOLEiZg6dSr69u3b8IMiIiK6B0Oyr2YpCUOzbeDAgWjdujVatWqFDz/8ECEhIRg6dGidfY8cOYLs7Gy89tprDS+eiIgIQI8ePdCvXz+sX79eb/uGDRswcOBAg/Orxg8//IBnnnmm1pl6d5s9ezbKysqQkpLSoPH37t2LmzdvQqVS4eWXX8bmzZtx48YNgx7b2H2S5eJEHtEDEEIY3Le6uhpJSUlwcnLC4cOHUVVV1ahxhgwZgqysLGRkZCAqKgqTJk3CmDFjpPbVq1ejrKwMcXFxBo9JRERkKEMyqyG5BgDffvstjh8/ju+++w4dO3ZEUlJSvWejr1u3Dj169ED//v0btA8iIqI7RUdHY+vWrbh+/ToAoKysDP/v//0/aXmkGqWlpWjdurXebdiwYXp9duzYIS0HcS81E4QXLlzQ296+fXu98YODg/Xaa85Et7W1Rffu3REUFIStW7cadJz17ZOsFyfyiB5Ap06dIJPJkJOTc9++H374If744w8cPXoUf/75J/71r39JbQ8//LBBYwBAq1at0LFjR/Tq1Qvr169HRkYG1q1bJ7WnpaUhPT0dCoUCdnZ26NixIwCgb9++iIqKauAREhER6TMk+x5++GEAMDjbfH190alTJzz33HP417/+heeeew5arbZWvxs3bmDz5s16X3kiIiJqjPHjx6O6uhpbtmwBcPuPSjY2Nhg7dqxevzZt2iArK0vv9sUXX0jtZ8+exeXLl+s9k/xONX/ouvvMvV9//VVv/N27d0ttJSUl2LZtG15++WVp28svv6z3GbAx+yTrxYk8ogfg5uaGiIgIJCQk1Hlqc81i3qdPn0Z8fDzWrl2Lrl27Yu3atXj33Xdx8uRJAMBLL72EPXv24Pjx47XGqKysrPe0aRsbG7z11luYP38+bt26BQD45JNPcOLEiVoh8O233+K9994zxmETEVELZkj2hYeHw93dHcuWLatzjLsvdnGn559/HnZ2dvj0009rtW3duhVarVbvwwwREVFjKJVKPP/889iwYQOA21+rffHFF6V1zGvY2NigY8eOereHHnpIav/hhx/w1FNP1Xkl27udPXsWwO2LP90pMDBQb/w710DftGkTysvLERoaCjs7O9jZ2WHevHk4cOAA/vOf/zR6n2S9OJFH9IASEhJQXV2N/v3747vvvsO5c+dw9uxZfPLJJwgLC0NVVRWioqIwevRojB49GgAwZswYjBkzBhMnTkRVVRVmzZqFRx99FEOHDkVCQgJOnDiBP/74A1u2bMGAAQOktYbq8sILL8DW1hYJCQkAAD8/P3Tv3l261ZwV0aFDB7Rv3970TwgRETV798u+Vq1a4YsvvsCuXbvw7LPPYs+ePbhw4QKOHj2KuXPnYurUqfWOLZPJ8MYbb+D999/HzZs39drWrVuHUaNGoW3btqY+RCIiagGio6Nx4MAB7Ny5E4cOHWrUGd87duzAyJEjDeq7cuVKKJVKqFQqg8dft24d3nzzTb0z9k6cOIHHHnus1hp/xtonWTZetZboAQUFBeHYsWN477338Oabb6KgoADt2rVDSEgI1q5di3/961+4dOkSfv75Z73HJSQkIDg4GP/617+wcOFCpKSk4OOPP8Znn32Gf/zjH3ByckLXrl3xxhtvoHv37vXu387ODtOnT8eyZcswbdo0XsGPiIhM7n7ZBwAjR47EoUOHsHTpUrz00kvQaDTw9fXFk08+iXffffee40dFReHtt9/GmjVrpCvf5ubm4sCBA7XylIiI6E6lpaXIysrS21bfH4AGDx6Mjh074m9/+xu6dOmCgQMH1uojhIBara613cPDA3/99ReOHj2KH374oVZ7SUkJ1Go1tFot/vOf/+Czzz7D9u3b8dVXX9W6Qm1RURHKy8tr1Xz69GkcO3YMGzdurHUBjvHjx2PJkiV49913YWdn1+B9kvWSiYauRkxEREREREREZGEmTpyIL7/8stb26Oho7NmzB7NmzcKsWbP02pYuXYq33noLy5Ytw5w5c/TakpKSMGnSpDr3VVBQgF27dmHDhg04cOCAXtud69E5ODjgoYcewqBBg/DGG2+gT58+Utu+ffswZMiQOsdPT0/Hxo0bkZaWhtOnT9dqV6vVeOihh/D999/j2WefNXifZP04kUdERERERERE1EDPPvssBg0aJJ09TtQUuEYeEREREREREVEDDRo0COPHjzd3GdTC8Iw8IiIiIiIiIiIiK8CLXTQhnU6Hy5cvo02bNnrfXyciagwhBMrKyuDj4wMbG55gTZaBWUdExsSsI0vErCMiY2lMznEirwldvnwZvr6+5i6DiJqZixcvon379uYugwgAs46ITINZR5aEWUdExtaQnONEXhNq06YNgNv/QEql8r79hRDQarVQKBT8Sw8R1aLRaODr6yu9txBZAmYdERkTs44sEbOOiIylMTnHibwmVPOmrVQqDXrDLy8vx8rkbMwbGQIHBwdTl0dEVor/Q0iWhFlHRKbArCNLwqwjImNrSM5xoQkLZy9XmLsEIiIik2LWERFRc8esIyJj4UQeERERERERERGRFeBEHhERERERERERkRXgRB4REREREREREZEV4EQeERGRCe3fvx/PPPMMfHx8IJPJsH37dr12IQQWLlwIb29vODo6QqVS4dy5c3p9iouLMWHCBCiVSri4uCA6OhrXr1/X63Py5Ek89thjcHBwgK+vL5YtW1arlq1bt6JLly5wcHBAjx49sHv37gbXQkRERERE5sOJPCIiIhO6ceMGevXqhYSEhDrbly1bhk8++QSJiYnIyMhAq1atEBERgfLycqnPhAkTcPr0aaSkpGDnzp3Yv38/pkyZIrVrNBqEh4fD398fmZmZWL58ORYtWoTPP/9c6nPo0CGMHz8e0dHROH78OEaNGoVRo0YhOzu7QbUQEREREZH52Jm7ACIiouZs2LBhGDZsWJ1tQgisXLkS8+fPx8iRIwEAX331FTw9PbF9+3aMGzcOZ8+eRXJyMn777Tf07dsXALB69WoMHz4cH374IXx8fLBx40ZUVFRg/fr1kMvlCA4ORlZWFlasWCFN+K1atQqRkZGYM2cOAOCdd95BSkoK1qxZg8TERINqISIiIiIi8zLZGXlBQUG4evVqre0lJSUICgoy1W6JiIiMoilyLC8vD2q1GiqVStrm7OyM0NBQpKenAwDS09Ph4uIiTeIBgEqlgo2NDTIyMqQ+gwcPhlwul/pEREQgNzcX165dk/rcuZ+aPjX7MaSWumi1Wmg0Gr0bERFZPmPmHJeRICJqOiabyLtw4QKqq6trbddqtbh06ZKpdktERGQUTZFjarUaAODp6am33dPTU2pTq9Xw8PDQa7ezs4Obm5ten7rGuHMf9fW5s/1+tdRl6dKlcHZ2lm6+vr73OWoiIrIExsw5LiNBRNR0jP7V2h9++EH6+aeffoKzs7N0v7q6GqmpqQgICDD2bomIiIyCOdYwcXFxiI2Nle5rNBpO5hERWTBT5ByXkSAiajpGn8gbNWoUAEAmkyEqKkqvzd7eHgEBAfjoo4+MvVsiIiKjaMoc8/LyAgAUFhbC29tb2l5YWIjevXtLfYqKivQeV1VVheLiYunxXl5eKCws1OtTc/9+fe5sv18tdVEoFFAoFAYdLxERmV9Tf16739IN48aNu+8yEs8991y9y0h88MEHuHbtGlxdXZGenq73x6WaPjVf9TWkFiIiS2f0r9bqdDrodDr4+fmhqKhIuq/T6aDVapGbm4unn37a2LslIiIyiqbMscDAQHh5eSE1NVXaptFokJGRgbCwMABAWFgYSkpKkJmZKfVJS0uDTqdDaGio1Gf//v2orKyU+qSkpKBz585wdXWV+ty5n5o+NfsxpBYiIrJ+Tf15rTksI8H1YInIkphsjby8vDy4u7ubangiIiKTMlaOXb9+HVlZWcjKypLGzcrKQn5+PmQyGWbNmoV3330XP/zwA06dOoW//e1v8PHxkc6Y6Nq1KyIjIzF58mQcOXIEBw8exPTp0zFu3Dj4+PgAAF566SXI5XJER0fj9OnT+Pbbb7Fq1Sq9sxJmzpyJ5ORkfPTRR8jJycGiRYtw9OhRTJ8+HQAMqoWIiJoPfl4zHNeDJSJLYvSv1t4pNTUVqamp0l967rR+/XpT7pqIiOiBGSPHjh49iiFDhkj3aybXoqKikJSUhLlz5+LGjRuYMmUKSkpKMGjQICQnJ8PBwUF6zMaNGzF9+nQMHToUNjY2GDNmDD755BOp3dnZGT///DNiYmIQEhICd3d3LFy4UG+R8IEDB2LTpk2YP38+3nrrLXTq1Anbt29H9+7dpT6G1EJERM1HU3xeaw7LSHA9WCKyJCabyFu8eDGWLFmCvn37wtvbGzKZzFS7IiIiMjpj5dgTTzwBIUS97TKZDEuWLMGSJUvq7ePm5oZNmzbdcz89e/bEr7/+es8+L7zwAl544YUHqoWIiJqHpvq8dufSDTWTZTVLN0ybNg2A/jISISEhAOpeRuLtt99GZWUl7O3tAdS/jMSsWbOk/de3jER9tdSF68ESkSUx2UReYmIikpKS8Morr5hqF0RERCbDHCMioubMmDl3/fp1nD9/Xrpfs4yEm5sb/Pz8pKUbOnXqhMDAQCxYsKDeZSQSExNRWVlZ5zISixcvRnR0NObNm4fs7GysWrUKH3/8sbTfmTNn4vHHH8dHH32EESNGYPPmzTh69Cg+//xzAPrLSNRXCxGRpTPZRF5FRQUGDhxoquGJiIhMijlGRETNmTFzjstIEBE1HZm41/d9HsC8efPQunVrLFiwwBTDWyWNRgNnZ2eUlpZCqVTet395eTlW/JiN2GHdGSxEVEtD31OoYZhjjcOsIyJjYtaZDnOu8Zh1RGQsjck5k52RV15ejs8//xx79uxBz549pXUMaqxYscJUuyYiInpgzDEiImrOmHNERNbJxlQDnzx5Er1794aNjQ2ys7Nx/Phx6ZaVlWXQGIsWLYJMJtO7denSRWovLy9HTEwM2rZti9atW2PMmDG1rlKUn5+PESNGwMnJCR4eHpgzZw6qqqr0+uzbtw99+vSBQqFAx44dkZSUVKuWhIQEBAQEwMHBAaGhoThy5EiDnxMiIrIexsgxIiIiS8WcIyKyTiY7I2/v3r1GGSc4OBh79uyR7tvZ/a/k2bNnY9euXdi6dSucnZ0xffp0jB49GgcPHgQAVFdXY8SIEfDy8sKhQ4dQUFCAv/3tb7C3t8e//vUvALcXYh0xYgSmTp2KjRs3IjU1Fa+99hq8vb0REREBAPj2228RGxuLxMREhIaGYuXKlYiIiEBubi48PDyMcpxERGRZjJVjRERElog5R0RknUx2Rp6x2NnZwcvLS7q5u7sDAEpLS7Fu3TqsWLECTz75JEJCQrBhwwYcOnQIhw8fBgD8/PPPOHPmDL7++mv07t0bw4YNwzvvvIOEhARUVFQAuH21psDAQHz00Ufo2rUrpk+fjueff17v6kcrVqzA5MmTMWnSJHTr1g2JiYlwcnLC+vXrm/4JISIiIiIiIiKiFslkZ+QNGTIEMpms3va0tDSDxjl37hx8fHzg4OCAsLAwLF26FH5+fsjMzERlZSVUKpXUt0uXLvDz80N6ejoGDBiA9PR09OjRA56enlKfiIgITJs2DadPn8YjjzyC9PR0vTFq+syaNQvA7as5ZWZmIi4uTmq3sbGBSqVCenr6PWvXarXQarXSfY1GY9AxExGR+Rkrx4iIiCwRc46IyDqZbCKvd+/eevcrKyuRlZWF7OxsREVFGTRGaGgokpKS0LlzZxQUFGDx4sV47LHHkJ2dDbVaDblcDhcXF73HeHp6Qq1WAwDUarXeJF5Ne03bvfpoNBrcunUL165dQ3V1dZ19cnJy7ln/0qVLsXjxYoOOlYiILIsxcoyIiMhSMeeIiKyTySby7vxq6p0WLVqE69evGzTGsGHDpJ979uyJ0NBQ+Pv7Y8uWLXB0dDRKnaYUFxeH2NhY6b5Go4Gvr68ZKyIiIkMZI8eIiIgsFXOOiMg6NfkaeS+//HKj15ZzcXHBww8/jPPnz8PLywsVFRUoKSnR61NYWAgvLy8AgJeXV62r2Nbcv18fpVIJR0dHuLu7w9bWts4+NWPUR6FQQKlU6t2IiMi6PUiOERERWTrmHBGRZWvyibz09HQ4ODg06rHXr1/H77//Dm9vb4SEhMDe3h6pqalSe25uLvLz8xEWFgYACAsLw6lTp1BUVCT1SUlJgVKpRLdu3aQ+d45R06dmDLlcjpCQEL0+Op0OqampUh8iImo5HiTHiIiILB1zjojIspnsq7WjR4/Wuy+EQEFBAY4ePYoFCxYYNMY//vEPPPPMM/D398fly5cRHx8PW1tbjB8/Hs7OzoiOjkZsbCzc3NygVCoxY8YMhIWFYcCAAQCA8PBwdOvWDa+88gqWLVsGtVqN+fPnIyYmBgqFAgAwdepUrFmzBnPnzsWrr76KtLQ0bNmyBbt27ZLqiI2NRVRUFPr27Yv+/ftj5cqVuHHjBiZNmmSkZ4uIiCyNMXKMiIjIUjHniIisk8km8pydnfXu29jYoHPnzliyZAnCw8MNGuPPP//E+PHjcfXqVbRr1w6DBg3C4cOH0a5dOwC313WwsbHBmDFjoNVqERERgU8//VR6vK2tLXbu3Ilp06YhLCwMrVq1QlRUFJYsWSL1CQwMxK5duzB79mysWrUK7du3xxdffIGIiAipz9ixY3HlyhUsXLgQarUavXv3RnJycq0LYBARUfNhjBwjIiKyVMw5IiLrJBNCCHMX0VJoNBo4OzujtLTUoPXyysvLseLHbMQO687T24moloa+pxA1BWYdERkTs44sEbOOiIylMTlnsjPyamRmZuLs2bMAgODgYDzyyCOm3iUREZHRMMeIiKg5Y84REVkXk03kFRUVYdy4cdi3bx9cXFwAACUlJRgyZAg2b94sfT2WiIjIEjHHiIioOWPOERFZJ5NdtXbGjBkoKyvD6dOnUVxcjOLiYmRnZ0Oj0eCNN94w1W6bHSEEysvLwW9AExE1LeYYERE1Z8w5IiLrZLIz8pKTk7Fnzx507dpV2tatWzckJCRw8dQGqKqswIpdJ/DWmFCup0BE1ISYY0RE1Jwx54iIrJPJzsjT6XSwt7evtd3e3h46nc5Uu22W7OQKc5dARNTiMMeIiKg5Y84REVknk03kPfnkk5g5cyYuX74sbbt06RJmz56NoUOHmmq3RERERsEcIyKi5ow5R0RknUw2kbdmzRpoNBoEBASgQ4cO6NChAwIDA6HRaLB69WpT7ZaIiMgomGNERNScMeeIiKyTydbI8/X1xbFjx7Bnzx7k5OQAALp27QqVSmWqXRIRERkNc4yIiJoz5lzTqqzQory8nOueE9EDM/oZeWlpaejWrRs0Gg1kMhmeeuopzJgxAzNmzEC/fv0QHByMX3/91di7JSIiMgrmGBERNWfMOSIi62b0ibyVK1di8uTJUCqVtdqcnZ3x+uuvY8WKFcbeLRERkVEwx4iIqDljzhERWTejT+SdOHECkZGR9baHh4cjMzPT2LslIiIyCuZY0xNCoLy8HEIIc5dCRNTsMeeIiKyb0SfyCgsL67yMeQ07OztcuXLF2Ltt1mrWUyAiItNjjjW9qsoKrNh1Alqt1tylEBE1e8w5IiLrZvSJvIceegjZ2dn1tp88eRLe3t7G3i0REZFRMMfMw06uMHcJREQtAnOOiMi6GX0ib/jw4ViwYEGdZ5DdunUL8fHxePrpp42922aNXzkiImo6zDEiImrOmHPmwc90RGQsMmHkd5LCwkL06dMHtra2mD59Ojp37gwAyMnJQUJCAqqrq3Hs2DF4enoac7dWQaPRwNnZGaWlpXUuLnu38vJyfLAjE+U3bwA2tpg3MgTOzs6QyWRNUC0RWbqGvqeQYZhjD6axWSezscXcZ3rDwcGhCaokImvBrDM+5tyDa0zWvbv1EHQCWPjiQGYdEUkak3N2xi7C09MThw4dwrRp0xAXFyf9xUEmkyEiIgIJCQkMhUaQAVix6wTeGhPKN34iIhNijplHzXqwzDgiItNizpmPnb3c3CUQUTNg9Ik8APD398fu3btx7do1nD9/HkIIdOrUCa6urqbYXYuhEwIlJSXw9PTkWXlERCbEHGt6d37liBlHRGRazDkiIutlkom8Gq6urujXr58pd9GiVFdW4JOfz2Dhiy48Y4GIqAkwx5oOM46IqOkx55pWzR+tFAoF/2hFRI1m9ItdkGnZ2tlzkVQiImqWmHFERNScVVdWYMWuE9BqteYuhYisGCfyGighIQEBAQFwcHBAaGgojhw50qT755s/ERGZmrmyTnvjOj7YkYmSkhLcunWLE3pERGQy5so6nRC4du0ac46IGo0TeQ3w7bffIjY2FvHx8Th27Bh69eqFiIgIFBUVNWkdfPMnIiJTMXfWyQAs3XoQS7Yc4oQeERGZhDmzrrqyAh/vOoF/fZeB0tJSZhwRNRgn8hpgxYoVmDx5MiZNmoRu3bohMTERTk5OWL9+fZPWUV1ZgeXbf5M+5Ny8ebPeGz8AERFRQ1hC1tnay2tN6DHXiIjIWMyddXb29qiqrOBZ6ETUKCa92EVzUlFRgczMTMTFxUnbbGxsoFKpkJ6eXudjtFqt3ldgS0tLAQAajcagfZaXl+N6aTEqbt0CbGwBXbX036pqHaqrKjF//Y+AjQ2g06G6ugq29nJAp5O2wcYGs54OgbOz8wMcPRE1hYYu8F/zXsL/8SNjMXfWVVXrYGdvr5d30Goxf/2PUsY5ODhi5ohHeEEMIivFrCNzM1fW3Si9Bp1Arc9085N+YrYRNTMN+V1uTM5xIs9Af/31F6qrq+Hp6am33dPTEzk5OXU+ZunSpVi8eHGt7b6+viapsT6fxjbp7oioiZWVlXGynozCWrJuhclGJiJLxawjY7HUrGO2EbVsDck5TuSZUFxcHGJj/zeLptPpUFxcjLZt2xp8uXGNRgNfX19cvHgRSqXSVKWaDOs3L9ZvPk1RuxACZWVl8PHxMcn4RIZo6VlnzbUDrN/cWP/9MevIEjxo1vF33bxYv3mx/ntrTM5xIs9A7u7usLW1RWFhod72wsJCeHl51fkYhUIBhUKht83FxaVR+1cqlVb5oq/B+s2L9ZuPqWvn2QlkTMy6xrPm2gHWb26s/96YdWRM5sw6/q6bF+s3L9Zfv4bmHC92YSC5XI6QkBCkpqZK23Q6HVJTUxEWFmbGyoiIiIyDWUdERM0ds46IrB3PyGuA2NhYREVFoW/fvujfvz9WrlyJGzduYNKkSeYujYiIyCiYdURE1Nwx64jImnEirwHGjh2LK1euYOHChVCr1ejduzeSk5NrLZRqTAqFAvHx8bVO5bYWrN+8WL/5WHPt1LIx6xrGmmsHWL+5sX4i82jqrLP23xXWb16s37wssX6Z4LXciYiIiIiIiIiILB7XyCMiIiIiIiIiIrICnMgjIiIiIiIiIiKyApzIIyIiIiIiIiIisgKcyCMiIiIiIiIiIrICnMizYAkJCQgICICDgwNCQ0Nx5MgRk+9z0aJFkMlkercuXbpI7eXl5YiJiUHbtm3RunVrjBkzBoWFhXpj5OfnY8SIEXBycoKHhwfmzJmDqqoqvT779u1Dnz59oFAo0LFjRyQlJdWqxZDj379/P5555hn4+PhAJpNh+/bteu1CCCxcuBDe3t5wdHSESqXCuXPn9PoUFxdjwoQJUCqVcHFxQXR0NK5fv67X5+TJk3jsscfg4OAAX19fLFu2rFYtW7duRZcuXeDg4IAePXpg9+7d961l06ZN96x/4sSJtf49IiMjLaL+jh07okePHmjTpg08PDwwatQo5Obm6j3Gkl4vd9fSvXt39O7d+571P/HEE7We/6lTp1pE/XU9l0TWiFnHrGPW3casY9ZR88WsY9Yx625j1hkp6wRZpM2bNwu5XC7Wr18vTp8+LSZPnixcXFxEYWGhSfcbHx8vgoODRUFBgXS7cuWK1D516lTh6+srUlNTxdGjR8WAAQPEwIEDpfaqqirRvXt3oVKpxPHjx8Xu3buFu7u7iIuLk/r88ccfwsnJScTGxoozZ86I1atXC1tbW5GcnNzg49+9e7d4++23xbZt2wQA8f333+u1v//++8LZ2Vls375dnDhxQjz77LMiMDBQ3Lp1S+oTGRkpevXqJQ4fPix+/fVX0bFjRzF+/HipvbS0VHh6eooJEyaI7Oxs8c033whHR0fx2WefSX0OHjwobG1txbJly8SZM2fE/Pnzhb29vTh16tQ9a/H09BTz5s2rt/6oqCgRGRmp9+9RXFys18dc9bdr1064u7uLzMxMkZWVJYYPHy78/PzE9evXLfL1cnctzs7OomPHjiI7O7ve+h9//HExefJkvee/tLTUIuq/+7kkskbMOmadEMw6Y75emHVElodZx6wTgllnzNcLs04ITuRZqP79+4uYmBjpfnV1tfDx8RFLly416X7j4+NFr1696mwrKSkR9vb2YuvWrdK2s2fPCgAiPT1dCHH7DdjGxkao1Wqpz9q1a4VSqRRarVYIIcTcuXNFcHCw3thjx44VERER0v3GHP/db5g6nU54eXmJ5cuX6x2DQqEQ33zzjRBCiDNnzggA4rfffpP6/Pjjj0Imk4lLly4JIYT49NNPhaurq1S/EELMmzdPdO7cWbr/4osvihEjRujVExoaKl5//XWDa6nvDX/kyJH1HrMl1V9UVCQAiF9++UVqt5TXiyG13F2/ELff8GfOnCnqY0n1E1kjZh2zTghmnRDMOkPrJ7JGzDpmnRDMOiGYdYbWbwh+tdYCVVRUIDMzEyqVStpmY2MDlUqF9PR0k+//3Llz8PHxQVBQECZMmID8/HwAQGZmJiorK/Xq6tKlC/z8/KS60tPT0aNHD3h6ekp9IiIioNFocPr0aanPnWPU9KkZw1jHn5eXB7VarTeOs7MzQkND9ep1cXFB3759pT4qlQo2NjbIyMiQ+gwePBhyuVyv3tzcXFy7ds2gYzKklvrs27cPHh4e6Ny5M6ZNm4arV69KbZZUf2lpKQDAzc0NgGW9Xgyp5e76a2zcuBHu7u7o3r074uLicPPmTb3n31LqJ7I2zDpm3Z2Ydcw6Zh01R8w6Zt2dmHXMOmNlnZ3BPanJ/PXXX6iurtZ7EQGAp6cncnJyTLrv0NBQJCUloXPnzigoKMDixYvx2GOPITs7G2q1GnK5HC4uLrXqUqvVAAC1Wl1n3TVt9+qj0Whw69YtXLt2zSjHX7O/usa5sxYPDw+9djs7O7i5uen1CQwMrPeYXF1d6z2mO8e4Xy11iYyMxOjRoxEYGIjff/8db731FoYNG4b09HTY2tpaTP06nQ6zZs3Co48+iu7du0uPsZTXy/1qqat+AHjppZfg7+8PHx8fnDx5EvPmzUNubi62bdtmUfUTWSNmHbOuBrOOWWfoc0lkbZh1zLoazDpmnaHPpSE4kUd6hg0bJv3cs2dPhIaGwt/fH1u2bIGjo6MZK2uZxo0bJ/3co0cP9OzZEx06dMC+ffswdOhQM1amLyYmBtnZ2Thw4IC5S2mU+uqfMmWK9HOPHj3g7e2NoUOH4vfff0eHDh2aukwiMhJmnWVh1jUNZh1Ry8KssyzMuqbRUrKOX621QO7u7rC1ta115ZLCwkJ4eXk1aS0uLi54+OGHcf78eXh5eaGiogIlJSX11uXl5VVn3TVt9+qjVCrh6OhotOOv6Xuvcby8vFBUVKTXXlVVheLiYqMc053t96vFEEFBQXB3d8f58+ctpv6cnBzs3LkTe/fuRfv27aU2S3q93KuWgwcP1ll/XUJDQwFA7/k3d/1N/Z5AZCzMOmZdfZh1/+vDrGPWkXVj1jHr6sOs+18fZl3DXz+cyLNAcrkcISEhSE1NlbbpdDqkpqYiLCysSWu5fv06fv/9d3h7eyMkJAT29vZ6deXm5iI/P1+qKywsDKdOndJ7E0pJSYFSqUS3bt2kPneOUdOnZgxjHX9gYCC8vLz0xtFoNMjIyNCrt6SkBJmZmVKftLQ06HQ66Zc7LCwM+/fvR2VlpV69nTt3hqurq0HHZEgthvjzzz9x9epVeHt7m73+0tJSHDhwABcvXkRaWlqt07wt6fVSVy05OTnIz89Hbm5unfXXJSsrCwD0nn9z1X/3c0lkbZh1zLr6MOtq18asY9aRdWLWMevqw6yrXRuzrgHvCQZfFoOa1ObNm4VCoRBJSUnizJkzYsqUKcLFxUXvKiqm8Oabb4p9+/aJvLw8cfDgQaFSqYS7u7soKioSQty+VLKfn59IS0sTR48eFWFhYSIsLEx6fM1lm8PDw0VWVpZITk4W7dq1q/OyzXPmzBFnz54VCQkJdV622ZDjLysrE8ePHxfHjx8XAMSKFSvE8ePHxX//+18hxO1La7u4uIgdO3aIkydPipEjR9Z5mfJHHnlEZGRkiAMHDohOnTrpXea7pKREeHp6ildeeUVkZ2eLzZs3Cycnp1qX+bazsxMffvihOHv2rIiPj6/zMt931+Lv7y8OHz5cZ/1lZWXiH//4h0hPTxd5eXliz549ok+fPqJTp06ivLzc7PUHBAQIGxsb8fPPP+tdxvvmzZvSYyzp9XJ3LZ6ensLW1lbs27evzvrPnz8vlixZIo4ePSry8vLEjh07RFBQkBg8eLBF1H/3c0lkjZh1zDpmnXFfL8w6IsvDrGPWMeuM+3ph1gnBiTwLtnr1auHn5yfkcrno37+/OHz4sMn3OXbsWOHt7S3kcrl46KGHxNixY8X58+el9lu3bom///3vwtXVVTg5OYnnnntOFBQU6I1x4cIFMWzYMOHo6Cjc3d3Fm2++KSorK/X67N27V/Tu3VvI5XIRFBQkNmzYUKsWQ45/7969AkCtW1RUlBDi9uW1FyxYIDw9PYVCoRBDhw4Vubm5emNcvXpVjB8/XrRu3VoolUoxadIkUVZWptfnxIkTYtCgQUKhUIiHHnpIvP/++7Vq2bJli3j44YeFXC4XwcHBYteuXXrtddXy1Vdf1Vv/zZs3RXh4uGjXrp2wt7cX/v7+YvLkybVCz1z111U3AL1/S0t6vdxdy/3qz8/PF4MHDxZubm5CoVCIjh07ijlz5ojS0lKLqL+u55LIGjHrmHXMutuYdcw6ar6Ydcw6Zt1tzDrjZJ1MCCEMP3+PiIiIiIiIiIiIzIFr5BEREREREREREVkBTuQRERERERERERFZAU7kERERERERERERWQFO5BEREREREREREVkBTuQRERERERERERFZAU7kERERERERERERWQFO5BEREREREREREVkBTuQRERERERERERFZAU7kETUBtVqNGTNmICgoCAqFAr6+vnjmmWeQmpoKAAgICIBMJoNMJoOjoyMCAgLw4osvIi0trd4xr169ivbt20Mmk6GkpKSJjoSIiFqCpsytffv2SWPdeVOr1VKfiRMnStvt7e0RGBiIuXPnory8vNZ+/vzzT8jlcnTv3t14TwgRERGMl49Xr15FZGQkfHx8pHGmT58OjUZjjsMiK8OJPCITu3DhAkJCQpCWlobly5fj1KlTSE5OxpAhQxATEyP1W7JkCQoKCpCbm4uvvvoKLi4uUKlUeO+99+ocNzo6Gj179myqwyAiohbCXLmVm5uLgoIC6ebh4aHXHhkZiYKCAvzxxx/4+OOP8dlnnyE+Pr7WOElJSXjxxReh0WiQkZHRyGeBiIhInzHz0cbGBiNHjsQPP/yA//znP0hKSsKePXswdepUcxwaWRk7cxdA1Nz9/e9/h0wmw5EjR9CqVStpe3BwMF599VXpfps2beDl5QUA8PPzw+DBg+Ht7Y2FCxfi+eefR+fOnaW+a9euRUlJCRYuXIgff/yx6Q6GiIiaPXPlloeHB1xcXOqtS6FQSPvz9fWFSqVCSkoKPvjgA6mPEAIbNmzAp59+ivbt22PdunUIDQ1t1PNARER0J2Pmo6urK6ZNmyY9xt/fH3//+9+xfPnypjsgslo8I4/IhIqLi5GcnIyYmBi9N/sa9/rAAgAzZ86EEAI7duyQtp05cwZLlizBV199BRsb/goTEZHxmDO3evfuDW9vbzz11FM4ePDgPfeTnZ2NQ4cOQS6X623fu3cvbt68CZVKhZdffhmbN2/GjRs37jkWERHR/ZgiH+90+fJlbNu2DY8//rgxyqVmjrMARCZ0/vx5CCHQpUuXRj3ezc0NHh4euHDhAgBAq9Vi/PjxWL58Ofz8/IxYKRERkXlyy9vbG4mJifjuu+/w3XffwdfXF0888QSOHTum12/nzp1o3bo1HBwc0KNHDxQVFWHOnDl6fdatW4dx48bB1tYW3bt3R1BQELZu3dqoYyEiIqph7HysMX78eDg5OeGhhx6CUqnEF198YYRqqbnjRB6RCQkhjDKGTCYDAMTFxaFr1654+eWXH3hcIiKiu5kjtzp37ozXX38dISEhGDhwINavX4+BAwfi448/1us3ZMgQZGVlISMjA1FRUZg0aRLGjBkjtZeUlGDbtm16+3r55Zexbt26Bz4mIiJq2YydjzU+/vhjHDt2DDt27MDvv/+O2NjYB94PNX+cyCMyoU6dOkEmkyEnJ6dRj7969SquXLmCwMBAAEBaWhq2bt0KOzs72NnZYejQoQAAd3f3Ohf8JiIiaghLya3+/fvj/PnzettatWqFjh07olevXli/fj0yMjL0Juk2bdqE8vJyhIaGSvubN28eDhw4gP/85z+NOh4iIiLA+PlYw8vLC126dMGzzz6Lzz77DGvXrkVBQYExSqZmjBN5RCbk5uaGiIgIJCQk1LlGT0lJyT0fv2rVKtjY2GDUqFEAgO+++w4nTpxAVlYWsrKypFOvf/31V70rJRERETWGpeRWVlYWvL296223sbHBW2+9hfnz5+PWrVsAbn+t9s0335T2lZWVhRMnTuCxxx7D+vXr73PkRERE9TN2PtZFp9MBuL0sBdG98Kq1RCaWkJCARx99FP3798eSJUvQs2dPVFVVISUlBWvXrsXZs2cBAGVlZVCr1aisrEReXh6+/vprfPHFF1i6dCk6duwIAOjQoYPe2H/99RcAoGvXrvddYJWIiMgQTZ1bK1euRGBgIIKDg1FeXo4vvvgCaWlp+Pnnn+9Z5wsvvIA5c+YgISEBKpUKx44dw8aNG2utXzR+/HgsWbIE7777Luzs+L++RETUOMbMx927d6OwsBD9+vVD69atcfr0acyZMwePPvooAgICzHiUZA34fzNEJhYUFIRjx47hvffew5tvvomCggK0a9cOISEhWLt2rdRv4cKFWLhwIeRyOby8vDBgwACkpqZiyJAhZqyeiIhamqbOrYqKCrz55pu4dOkSnJyc0LNnT+zZs+e+49jZ2WH69OlYtmwZcnNz0a1btzoXIX/uuecwffp07N69G88++2yDaiMiIqphzHx0dHTE//3f/2H27NnQarXw9fXF6NGj8c9//tMch0ZWRiaMsWojERERERERERERmZRZ18hbunQp+vXrhzZt2sDDwwOjRo1Cbm6uXp/y8nLExMSgbdu2aN26NcaMGYPCwkK9Pvn5+RgxYgScnJzg4eGBOXPmoKqqSq/Pvn370KdPHygUCnTs2BFJSUm16klISEBAQAAcHBwQGhqKI0eONLgWIiIiIiIiIiIiUzDrRN4vv/yCmJgYHD58GCkpKaisrER4eLje4pGzZ8/Gv//9b2zduhW//PILLl++jNGjR0vt1dXVGDFiBCoqKnDo0CF8+eWXSEpKwsKFC6U+eXl5GDFiBIYMGYKsrCzMmjULr732Gn766Sepz7fffovY2FjEx8fj2LFj6NWrFyIiIlBUVGRwLURERERERERERKZiUV+tvXLlCjw8PPDLL79g8ODBKC0tRbt27bBp0yY8//zzAICcnBx07doV6enpGDBgAH788Uc8/fTTuHz5Mjw9PQEAiYmJmDdvHq5cuQK5XI558+Zh165dyM7OlvY1btw4lJSUIDk5GQAQGhqKfv36Yc2aNQBuXzHG19cXM2bMwD//+U+DaiEiIiIiIiIiIjIVi7rYRWlpKYDbl3YGgMzMTFRWVkKlUkl9unTpAj8/P2nyLD09HT169JAm8QAgIiIC06ZNw+nTp/HII48gPT1db4yaPrNmzQJwe5HlzMxMxMXFSe02NjZQqVRIT083uJa7abVavUtH63Q6FBcXo23btpDJZI19moiIAABCCJSVlcHHxwc2NmY9wZpIotPpcPnyZbRp04ZZR0QPjFlHlohZR0TG0pics5iJPJ1Oh1mzZuHRRx9F9+7dAQBqtRpyuRwuLi56fT09PaFWq6U+d07i1bTXtN2rj0ajwa1bt3Dt2jVUV1fX2ScnJ8fgWu62dOlSLF682MBngIiocS5evIj27dubuwwiAMDly5fh6+tr7jKIqJlh1pElYdYRkbE1JOcsZiIvJiYG2dnZOHDggLlLMZq4uDjExsZK90tLS+Hn54eLFy9CqVSasTIiag40Gg18fX3Rpk0bc5dCJKl5PTLriMgYmHVkiZh1RGQsjck5i5jImz59Onbu3In9+/frzUB6eXmhoqICJSUlemfCFRYWwsvLS+pz99Vla64ke2efu68uW1hYCKVSCUdHR9ja2sLW1rbOPneOcb9a7qZQKKBQKGptVyqVBr3hCyGg1WqhUCh4yjYR1YvvD2RJal6PzDoiMia+P5AlYdYRkbE15L3BrAtNCCEwffp0fP/990hLS0NgYKBee0hICOzt7ZGamipty83NRX5+PsLCwgAAYWFhOHXqlN7VZVNSUqBUKtGtWzepz51j1PSpGUMulyMkJESvj06nQ2pqqtTHkFqMTavV4oMdmXrr7BERETUnzDoiImrumHVEZExmPSMvJiYGmzZtwo4dO9CmTRtprTlnZ2c4OjrC2dkZ0dHRiI2NhZubG5RKJWbMmIGwsDDp4hLh4eHo1q0bXnnlFSxbtgxqtRrz589HTEyMdDbc1KlTsWbNGsydOxevvvoq0tLSsGXLFuzatUuqJTY2FlFRUejbty/69++PlStX4saNG5g0aZJU0/1qMQV7ee0z+oiIiJoTZh0RETV3zDoiMhazTuStXbsWAPDEE0/obd+wYQMmTpwIAPj4449hY2ODMWPGQKvVIiIiAp9++qnU19bWFjt37sS0adMQFhaGVq1aISoqCkuWLJH6BAYGYteuXZg9ezZWrVqF9u3b44svvkBERITUZ+zYsbhy5QoWLlwItVqN3r17Izk5We8CGPerhYiIiIiIiIiIyFRkQghh7iJaCo1GA2dnZ5SWlhq0lkJ5eTlW/JiN2GHd4eDg0AQVEpE1aeh7ClFTYNYRkTEx68gSMeuIyFgak3NmXSOPiIiIiIiIiIiIDMOJPCIiIiIiIiIiIivAiTwiIiIiIiIiIiIr0KiJvKCgIFy9erXW9pKSEgQFBT1wUURERObGrCMiouaMOUdEZJ0aNZF34cIFVFdX19qu1Wpx6dKlBy6KiIjI3Jh1RETUnDHniIisk11DOv/www/Szz/99BOcnZ2l+9XV1UhNTUVAQIDRiiMiImpqzDoiImrOmHNERNatQRN5o0aNAgDIZDJERUXptdnb2yMgIAAfffSR0YojIiJqasw6IiJqzkyRc/v378fy5cuRmZmJgoICfP/999J+AEAIgfj4ePzf//0fSkpK8Oijj2Lt2rXo1KmT1Ke4uBgzZszAv//9b9jY2GDMmDFYtWoVWrduLfU5efIkYmJi8Ntvv6Fdu3aYMWMG5s6dq1fL1q1bsWDBAly4cAGdOnXCBx98gOHDhzeoFiIiS9agr9bqdDrodDr4+fmhqKhIuq/T6aDVapGbm4unn37aVLUSERGZHLOOiIiaM1Pk3I0bN9CrVy8kJCTU2b5s2TJ88sknSExMREZGBlq1aoWIiAiUl5dLfSZMmIDTp08jJSUFO3fuxP79+zFlyhSpXaPRIDw8HP7+/sjMzMTy5cuxaNEifP7551KfQ4cOYfz48YiOjsbx48cxatQojBo1CtnZ2Q2qhYjIkjXojLwaeXl5xq6DiIjIojDriIioOTNmzg0bNgzDhg2rs00IgZUrV2L+/PkYOXIkAOCrr76Cp6cntm/fjnHjxuHs2bNITk7Gb7/9hr59+wIAVq9ejeHDh+PDDz+Ej48PNm7ciIqKCqxfvx5yuRzBwcHIysrCihUrpAm/VatWITIyEnPmzAEAvPPOO0hJScGaNWuQmJhoUC1ERJauURN5AJCamorU1FTprzh3Wr9+/QMXRkREZG7MOiIias6aIufy8vKgVquhUqmkbc7OzggNDUV6ejrGjRuH9PR0uLi4SJN4AKBSqWBjY4OMjAw899xzSE9Px+DBgyGXy6U+ERER+OCDD3Dt2jW4uroiPT0dsbGxevuPiIjA9u3bDa6FiMjSNeqqtYsXL0Z4eDhSU1Px119/4dq1a3o3IiIia2esrNu/fz+eeeYZ+Pj4QCaTSR8magghsHDhQnh7e8PR0REqlQrnzp3T61NcXIwJEyZAqVTCxcUF0dHRuH79ul6fkydP4rHHHoODgwN8fX2xbNmyWrVs3boVXbp0gYODA3r06IHdu3c3uBYiImoemuoznVqtBgB4enrqbff09JTa1Go1PDw89Nrt7Ozg5uam16euMe7cR3197my/Xy110Wq10Gg0ejciInNp1Bl5iYmJSEpKwiuvvGLseoiIiCyCsbKuZt2gV199FaNHj67VXrNWz5dffonAwEAsWLAAEREROHPmDBwcHADcXjeooKAAKSkpqKysxKRJkzBlyhRs2rQJwP/WDVKpVEhMTMSpU6fw6quvwsXFRfq6Uc26QUuXLsXTTz+NTZs2YdSoUTh27Bi6d+9ucC1ERNQ88DOd4ZYuXYrFixebuwwiIgCNPCOvoqICAwcONHYtREREFsNYWTds2DC8++67eO6552q13b1WT8+ePfHVV1/h8uXL0pl7NesGffHFFwgNDcWgQYOwevVqbN68GZcvXwYAvXWDgoODMW7cOLzxxhtYsWKFtK871w3q2rUr3nnnHfTp0wdr1qwxuBYiImo+muoznZeXFwCgsLBQb3thYaHU5uXlhaKiIr32qqoqFBcX6/Wpa4w791Ffnzvb71dLXeLi4lBaWirdLl68eJ+jJiIynUZN5L322mvSWQBERETNUVNk3f3W6gFw33WDavrUtW5Qbm6u9PWo9PR0vf3U9KnZjyG11IVfNyIisk5N9ZkuMDAQXl5eSE1NlbZpNBpkZGQgLCwMABAWFoaSkhJkZmZKfdLS0qDT6RAaGir12b9/PyorK6U+KSkp6Ny5M1xdXaU+d+6npk/NfgyppS4KhQJKpVLv9v+1d+9hVdV5//9fG2RzSDmFclAEPIRnLUuk0jRJtJNW96Rm3eb41WrUbOxgZIl6122TZUc6XV3qNHdlNWM2d2NMCprloCaJigq3lqYVoImwRQFRPr8//LnHLaCAG/be+HxcF9fFXp/PWuu1lhve8W7ttQDAVRr10dqKigq9++67Wr16tfr06SMfHx+H8bOvAAAAwBM1R61z5n2D4uLiamzjzFhISEiT3TeIjxsBgGdyZp0rKyvTnj177K/37t2rnJwchYaGqmPHjnrkkUf07LPPqmvXrvZbN0RFRWn06NGSpO7du2vEiBGaPHmy3n77bVVVVWnatGkaO3asoqKiJEn33HOP5s2bp0mTJmnWrFnKzc3Vq6++qpdfftm+3xkzZuiGG27QSy+9pFtuuUXLli3T5s2b9e6770qSLBbLBbMAgLtrVCNv27Zt6tevnyQpNzfXYcxisVx0KAAAXI1aVz8pKSkOTwi02WyKjo52YSIAQH04s85t3rxZQ4cOtb8+UxcmTJigpUuX6oknntCxY8c0ZcoUlZSU6Prrr1d6errD/Vc/+OADTZs2TcOGDZOXl5fuuusuvfbaa/bxoKAgffXVV5o6dar69++vsLAwzZkzx34vWEm69tpr9eGHH+rpp5/WU089pa5du2rFihX2e8FKqlcWAHBnjWrkrVmzxtk5AABwK81R686+V09kZKR9eVFRkf2PK1fcN6iuLLXx9fWVr69vvY4XAOA+nFnnhgwZImNMneMWi0Xz58/X/Pnz65wTGhp6wY/69unTR99888155/zud7/T7373u4vKAgDurFH3yAMAABevJdw3CAAAAEDzadQVeUOHDj3v5daZmZmNDgQAgDtwVq3jvkEAAHfE33QA4Jka1cg79yM2VVVVysnJUW5uriZMmOCMXAAAuJSzah33DQIAuCP+pgMAz2Qx57uZQQPNnTtXZWVlevHFF521yRbFZrMpKChIpaWl9XpkeUVFhRZ9mauZI3vxRxSAGhr6OwXOQa07P2odAGei1jU/6tyFUesAOEtj6pxT75F37733avHixc7cJAAAboVaBwBoyahzAODenNrIy8rK4v8wAABaNGodAKAlo84BgHtr1D3y7rzzTofXxhgVFBRo8+bNeuaZZ5wSDAAAV6LWAQBaMuocAHimRjXygoKCHF57eXkpPj5e8+fP1/Dhw50SDAAAV6LWAQBaMuocAHimRjXylixZ4uwcAAC4FWodAKAlo84BgGdqVCPvjOzsbO3atUuS1LNnT1155ZVOCQUAgLug1gEAWjLqHAB4lkY18g4ePKixY8dq7dq1Cg4OliSVlJRo6NChWrZsmdq2bevMjAAANDtqHQCgJaPONa+qE5WqqKjgQSIALlqjnlo7ffp0HT16VDt27FBxcbGKi4uVm5srm82mhx9+2NkZAQBodtQ6AEBLRp0DAM/UqCvy0tPTtXr1anXv3t2+rEePHkpLS+PGqACAFoFaBwBoyahzAOCZGnVFXnV1tXx8fGos9/HxUXV19UWHAgDA1ah1AICWjDoHAJ6pUY28G2+8UTNmzNCvv/5qX/bLL7/oj3/8o4YNG+a0cAAAuAq1DgDQklHnAMAzNaqR98Ybb8hmsyk2NladO3dW586dFRcXJ5vNptdff93ZGQEAaHbUOgBAS0adAwDP1Kh75EVHR+v777/X6tWrlZeXJ0nq3r27kpKSnBoOAABXodYBAFoy6hwAeKYGXZGXmZmpHj16yGazyWKx6KabbtL06dM1ffp0XXPNNerZs6e++eabpsoKAECTo9YBAFoy6hwAeLYGNfJeeeUVTZ48WYGBgTXGgoKC9MADD2jRokVOCwcAQHOj1jU/Y4wqKipkjHF1FABo8ahzAODZGtTI27p1q0aMGFHn+PDhw5WdnX3RoQAAcBVqXfM7WXVCi/6xVZWVla6OAgAtHnUOADxbgxp5RUVFtT6i/IxWrVrp0KFDFx0KAABXoda5Riurr6sjAMAlgToHAJ6tQY289u3bKzc3t87xbdu2KTIy8qJD4d/4uBEANC9qHQCgJaPOAYBna1Aj7+abb9YzzzyjioqKGmPl5eVKTU3Vrbfe6rRw4ONGANDcqHUAgJaMOgcAnq1VQyY//fTTWr58ua644gpNmzZN8fHxkqS8vDylpaXp1KlTmj17dpMEvZTxcSMAaD7UOgBAS0adAwDP1qBGXnh4uP71r3/poYceUkpKiv3jnhaLRcnJyUpLS1N4eHiTBAUAoDlQ6wAALRl1zjXOvmWSxWJxdRwAHqxBjTxJiomJ0cqVK3XkyBHt2bNHxhh17dpVISEhTZEPAIBmR60DALRk1Lnmd7LqhF77aqfm3B0sPz8/V8cB4MEa3Mg7IyQkRNdcc40zswAA4Faodc2n6kSlKioq+OMGAJoRda55tfKxujoCgBagQQ+7AAAAAAAAAOAaNPIaKC0tTbGxsfLz81NCQoI2bdrk6kgAADiVK2rd2fcOAgCgqVHrAHgqGnkN8PHHH2vmzJlKTU3V999/r759+yo5OVkHDx50dTQAAJzCVbXu1P9/76DKysom3Q8AAK6sdYv+sZVaB+Ci0MhrgEWLFmny5MmaOHGievToobffflsBAQFavHhxk+73RGWFSkpK+D83AIAm56paJ0mmulpHjhxReXk5NQ8A0GRcWeu8faxclQfgojT6YReXmhMnTig7O1spKSn2ZV5eXkpKSlJWVlat61RWVjr835bS0lJJks1mq9c+KyoqVFZarBPl5Vrw18N69PZruAk40II19Of7zO8S/kMQzuLqWnfyVLWeXfa1/Pz8NeOWK6l5QAtErYOruarWHSs9omojHSs5rNT/+ZW/7YAWrCE/242pczTy6um3337TqVOnFB4e7rA8PDxceXl5ta6zYMECzZs3r8by6OjoRmV4bXqjVgPQwh09elRBQUGujoEWwB1q3RmLLmptAC0NtQ7O4i61jr/tAJytIXWORl4TSklJ0cyZM+2vq6urVVxcrMsvv1wWi6Ve27DZbIqOjtaBAwcUGBjYVFGbDPldy5Pze3J2qXnyG2N09OhRRUVFNcn2gfq42FrHz7prkd+1yH9h1Dq4A2od+V2J/K7V1PkbU+do5NVTWFiYvL29VVRU5LC8qKhIERERta7j6+srX19fh2XBwcGN2n9gYKBHvunPIL9reXJ+T84uNX1+rk6AM7my1vGz7lrkdy3ynx+1Ds5ErWs88rsW+V2rKfM3tM7xsIt6slqt6t+/vzIyMuzLqqurlZGRocTERBcmAwDAOah1AICWjloHwNNxRV4DzJw5UxMmTNDVV1+tAQMG6JVXXtGxY8c0ceJEV0cDAMApqHUAgJaOWgfAk9HIa4AxY8bo0KFDmjNnjgoLC9WvXz+lp6fXuFGqM/n6+io1NbXGpdyegvyu5cn5PTm75Pn5celq7lrn6T8r5Hct8ruWp+fHpYta1zDkdy3yu5Y75rcYnuUOAAAAAAAAuD3ukQcAAAAAAAB4ABp5AAAAAAAAgAegkQcAAAAAAAB4ABp5AAAAAAAAgAegkefG0tLSFBsbKz8/PyUkJGjTpk1Nvs+5c+fKYrE4fHXr1s0+XlFRoalTp+ryyy9X69atddddd6moqMhhG/v379ctt9yigIAAtWvXTo8//rhOnjzpMGft2rW66qqr5Ovrqy5dumjp0qU1stTn+NetW6fbbrtNUVFRslgsWrFihcO4MUZz5sxRZGSk/P39lZSUpN27dzvMKS4u1vjx4xUYGKjg4GBNmjRJZWVlDnO2bdumQYMGyc/PT9HR0XrhhRdqZPn000/VrVs3+fn5qXfv3lq5cuUFs3z44YfnzX///ffX+PcYMWKEW+Tv0qWLevfurTZt2qhdu3YaPXq08vPzHdZxp/fLuVl69eqlfv36nTf/kCFDapz/Bx980C3y13YuAU9EraPWUetOo9ZR69ByNXet87Q6J3l2revfv79uvPFGj6xzSUlJevTRR3XNNddQ6zyp1hm4pWXLlhmr1WoWL15sduzYYSZPnmyCg4NNUVFRk+43NTXV9OzZ0xQUFNi/Dh06ZB9/8MEHTXR0tMnIyDCbN282AwcONNdee619/OTJk6ZXr14mKSnJbNmyxaxcudKEhYWZlJQU+5wff/zRBAQEmJkzZ5qdO3ea119/3Xh7e5v09PQGH//KlSvN7NmzzfLly40k89lnnzmMP//88yYoKMisWLHCbN261dx+++0mLi7OlJeX2+eMGDHC9O3b12zYsMF88803pkuXLmbcuHH28dLSUhMeHm7Gjx9vcnNzzUcffWT8/f3NO++8Y5+zfv164+3tbV544QWzc+dO8/TTTxsfHx+zffv282YJDw83s2bNqjP/hAkTzIgRIxz+PYqLix3muCp/27ZtTVhYmMnOzjY5OTnm5ptvNh07djRlZWV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", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "rcParams['figure.figsize'] = (6,5)\n", + "pm.pl.scatter_density(adata, x_lim=[-5e3, 2e5], y_lim=[-5e3, 2e5])" + ] + }, + { + "cell_type": "markdown", + "id": "29e11870", + "metadata": {}, "source": [ - "pm.pl.scatter_density(adata, x_lim=[-1, 2.7e5])" + "Compensate with the compensation matrix that is deposited in the FCS file. The `compensate` function also accepts a custom compensation matrix. " ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 16, "id": "5d94e857", "metadata": {}, "outputs": [], @@ -127,9 +170,17 @@ "pm.pp.compensate(adata)" ] }, + { + "cell_type": "markdown", + "id": "2200fd8d", + "metadata": {}, + "source": [ + "For normalization, `pytometry` provides several different approaches:" + ] + }, { "cell_type": "code", - "execution_count": null, + "execution_count": 17, "id": "ac74dd0e", "metadata": {}, "outputs": [], @@ -139,7 +190,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 18, "id": "4a6efc35", "metadata": {}, "outputs": [], @@ -149,7 +200,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 19, "id": "828cf9c1", "metadata": {}, "outputs": [], @@ -159,7 +210,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 20, "id": "f528f69a", "metadata": {}, "outputs": [], diff --git a/docs/tutorials/read_fcs.ipynb b/docs/tutorials/read_fcs.ipynb index 3b48352..0ac75de 100644 --- a/docs/tutorials/read_fcs.ipynb +++ b/docs/tutorials/read_fcs.ipynb @@ -18,7 +18,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "metadata": {}, "outputs": [], "source": [ @@ -36,7 +36,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 2, "metadata": {}, "outputs": [], "source": [ @@ -45,7 +45,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 3, "metadata": {}, "outputs": [], "source": [ @@ -54,9 +54,22 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 4, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "AnnData object with n_obs × n_vars = 241552 × 20\n", + " var: 'n', 'channel', 'marker', '$PnR', '$PnB', '$PnE', '$PnV', '$PnG'\n", + " uns: 'meta'" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "adata" ] @@ -71,9 +84,294 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 5, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "
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nchannelmarker$PnR$PnB$PnE$PnV$PnG
FSC-A1FSC-A262144320,05101.0
FSC-H2FSC-H262144320,05101.0
FSC-W3FSC-W262144320,05101.0
SSC-A4SSC-A262144320,03101.0
SSC-H5SSC-H262144320,03101.0
SSC-W6SSC-W262144320,03101.0
CD957R660-ACD95262144320,04901.0
CD88R780-ACD8262144320,04751.0
CD279B515-ACD27262144320,04701.0
CXCR410B710-ACXCR4262144320,04171.0
CCR711V450-ACCR7262144320,04001.0
LIVE/DEAD12V545-ALIVE/DEAD262144320,04951.0
CD413V605-ACD4262144320,04001.0
CD45RA14V655-ACD45RA262144320,03751.0
CD315V800-ACD3262144320,04001.0
CD49B16G560-ACD49B262144320,04001.0
CD14/1917G610-ACD14/19262144320,04151.0
CD6918G660-ACD69262144320,04701.0
CD10319G780-ACD103262144320,04351.0
Time20Time262144320,00.01
\n", + "
" + ], + "text/plain": [ + " n channel marker $PnR $PnB $PnE $PnV $PnG\n", + "FSC-A 1 FSC-A 262144 32 0,0 510 1.0\n", + "FSC-H 2 FSC-H 262144 32 0,0 510 1.0\n", + "FSC-W 3 FSC-W 262144 32 0,0 510 1.0\n", + "SSC-A 4 SSC-A 262144 32 0,0 310 1.0\n", + "SSC-H 5 SSC-H 262144 32 0,0 310 1.0\n", + "SSC-W 6 SSC-W 262144 32 0,0 310 1.0\n", + "CD95 7 R660-A CD95 262144 32 0,0 490 1.0\n", + "CD8 8 R780-A CD8 262144 32 0,0 475 1.0\n", + "CD27 9 B515-A CD27 262144 32 0,0 470 1.0\n", + "CXCR4 10 B710-A CXCR4 262144 32 0,0 417 1.0\n", + "CCR7 11 V450-A CCR7 262144 32 0,0 400 1.0\n", + "LIVE/DEAD 12 V545-A LIVE/DEAD 262144 32 0,0 495 1.0\n", + "CD4 13 V605-A CD4 262144 32 0,0 400 1.0\n", + "CD45RA 14 V655-A CD45RA 262144 32 0,0 375 1.0\n", + "CD3 15 V800-A CD3 262144 32 0,0 400 1.0\n", + "CD49B 16 G560-A CD49B 262144 32 0,0 400 1.0\n", + "CD14/19 17 G610-A CD14/19 262144 32 0,0 415 1.0\n", + "CD69 18 G660-A CD69 262144 32 0,0 470 1.0\n", + "CD103 19 G780-A CD103 262144 32 0,0 435 1.0\n", + "Time 20 Time 262144 32 0,0 0.01" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "adata.var" ] @@ -88,9 +386,218 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 6, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "{'__header__': {'FCS format': 'FCS3.0',\n", + " 'text start': 256,\n", + " 'text end': 6333,\n", + " 'data start': 6339,\n", + " 'data end': 19330498,\n", + " 'analysis start': 0,\n", + " 'analysis end': 0},\n", + " '$BEGINANALYSIS': '0',\n", + " '$ENDANALYSIS': '0',\n", + " '$BEGINSTEXT': '0',\n", + " '$ENDSTEXT': '0',\n", + " '$BEGINDATA': '6339',\n", + " '$ENDDATA': '19330498 ',\n", + " '$FIL': '2-13-17 T cell Panel_T_E_G05_004.fcs',\n", + " '$SYS': 'Windows 7 6.1',\n", + " '$TOT': 241552,\n", + " '$PAR': 20,\n", + " '$MODE': 'L',\n", + " '$BYTEORD': '4,3,2,1',\n", + " '$DATATYPE': 'F',\n", + " '$NEXTDATA': 0,\n", + " 'CREATOR': 'BD FACSDiva Software Version 8.0',\n", + " 'TUBE NAME': 'T_E',\n", + " '$SRC': '2-13-17 T cell Panel',\n", + " 'EXPERIMENT NAME': 'T_Memory_01-24-17',\n", + " 'GUID': '641fcb4b-10df-4636-9325-31d9c563ae6b',\n", + " '$DATE': '10-SEP-2018',\n", + " '$BTIM': '16:02:38',\n", + " '$ETIM': '16:02:38',\n", + " '$CYT': 'LSRFortessa',\n", + " 'SETTINGS': 'Cytometer',\n", + " 'CYTNUM': 'H64717700086',\n", + " 'WINDOW EXTENSION': '10.00',\n", + " 'EXPORT USER NAME': 'Administrator',\n", + " 'EXPORT TIME': '10-SEP-2018-16:02:38',\n", + " '$OP': 'Administrator',\n", + " 'FSC ASF': '0.69',\n", + " 'AUTOBS': 'TRUE',\n", + " '$INST': ' ',\n", + " 'LASER1NAME': 'Blue',\n", + " 'LASER1DELAY': '0.00',\n", + " 'LASER1ASF': '0.78',\n", + " 'LASER2NAME': 'Green',\n", + " 'LASER2DELAY': '129.57',\n", + " 'LASER2ASF': '0.75',\n", + " 'LASER3NAME': 'Red',\n", + " 'LASER3DELAY': '97.14',\n", + " 'LASER3ASF': '0.57',\n", + " 'LASER4NAME': 'UV',\n", + " 'LASER4DELAY': '65.51',\n", + " 'LASER4ASF': '0.77',\n", + " 'LASER5NAME': 'Violet',\n", + " 'LASER5DELAY': '34.39',\n", + " 'LASER5ASF': '0.88',\n", + " 'PLATE NAME': '2-13-17 T-memory',\n", + " 'WELL ID': 'G05',\n", + " 'PLATE ID': 'dac8255f-b7a7-4020-97d4-b2f6547e9b8b',\n", + " '$TIMESTEP': '0.01',\n", + " 'APPLY COMPENSATION': 'TRUE',\n", + " 'THRESHOLD': 'FSC,5000',\n", + " 'P1DISPLAY': 'LIN',\n", + " 'P1BS': '0',\n", + " 'P1MS': '0',\n", + " 'P2DISPLAY': 'LIN',\n", + " 'P2BS': '0',\n", + " 'P2MS': '0',\n", + " 'P3BS': '-1',\n", + " 'P3MS': '0',\n", + " 'P4DISPLAY': 'LIN',\n", + " 'P4BS': '0',\n", + " 'P4MS': '0',\n", + " 'P5DISPLAY': 'LIN',\n", + " 'P5BS': '0',\n", + " 'P5MS': '0',\n", + " 'P6BS': '-1',\n", + " 'P6MS': '0',\n", + " 'P7DISPLAY': 'LOG',\n", + " 'P7BS': '5464',\n", + " 'P7MS': '0',\n", + " 'P8DISPLAY': 'LOG',\n", + " 'P8BS': '157',\n", + " 'P8MS': '0',\n", + " 'P9DISPLAY': 'LOG',\n", + " 'P9BS': '102',\n", + " 'P9MS': '0',\n", + " 'P10DISPLAY': 'LOG',\n", + " 'P10BS': '4284',\n", + " 'P10MS': '0',\n", + " 'P11DISPLAY': 'LOG',\n", + " 'P11BS': '682',\n", + " 'P11MS': '0',\n", + " 'P12DISPLAY': 'LOG',\n", + " 'P12BS': '177',\n", + " 'P12MS': '0',\n", + " 'P13DISPLAY': 'LOG',\n", + " 'P13BS': '2348',\n", + " 'P13MS': '0',\n", + " 'P14DISPLAY': 'LOG',\n", + " 'P14BS': '2322',\n", + " 'P14MS': '0',\n", + " 'P15DISPLAY': 'LOG',\n", + " 'P15BS': '700',\n", + " 'P15MS': '0',\n", + " 'P16DISPLAY': 'LOG',\n", + " 'P16BS': '679',\n", + " 'P16MS': '0',\n", + " 'P17DISPLAY': 'LOG',\n", + " 'P17BS': '4480',\n", + " 'P17MS': '0',\n", + " 'P18DISPLAY': 'LOG',\n", + " 'P18BS': '3799',\n", + " 'P18MS': '0',\n", + " 'P19DISPLAY': 'LOG',\n", + " 'P19BS': '225',\n", + " 'P19MS': '0',\n", + " 'P20BS': '0',\n", + " 'P20MS': '0',\n", + " 'CST SETUP STATUS': 'SUCCESS',\n", + " 'CST BEADS LOT ID': '74538',\n", + " 'CYTOMETER CONFIG NAME': 'Copy of 5 Lasers UV SORP 2B 6V 2UV 3R 5Gr',\n", + " 'CYTOMETER CONFIG CREATE DATE': '2014-01-29T14:36:56-08:00',\n", + " 'CST SETUP DATE': '2016-12-21T08:52:55-08:00',\n", + " 'CST BASELINE DATE': '2016-10-28T10:11:58-07:00',\n", + " 'CST BEADS EXPIRED': 'False',\n", + " 'CST PERFORMANCE EXPIRED': '2016-12-22T08:52:55-08:00',\n", + " 'CST REGULATORY STATUS': 'RUO Performance Check',\n", + " 'channels': $PnN $PnS $PnR $PnB $PnE $PnV $PnG\n", + " n \n", + " 1 FSC-A 262144 32 0,0 510 1.0\n", + " 2 FSC-H 262144 32 0,0 510 1.0\n", + " 3 FSC-W 262144 32 0,0 510 1.0\n", + " 4 SSC-A 262144 32 0,0 310 1.0\n", + " 5 SSC-H 262144 32 0,0 310 1.0\n", + " 6 SSC-W 262144 32 0,0 310 1.0\n", + " 7 R660-A CD95 262144 32 0,0 490 1.0\n", + " 8 R780-A CD8 262144 32 0,0 475 1.0\n", + " 9 B515-A CD27 262144 32 0,0 470 1.0\n", + " 10 B710-A CXCR4 262144 32 0,0 417 1.0\n", + " 11 V450-A CCR7 262144 32 0,0 400 1.0\n", + " 12 V545-A LIVE/DEAD 262144 32 0,0 495 1.0\n", + " 13 V605-A CD4 262144 32 0,0 400 1.0\n", + " 14 V655-A CD45RA 262144 32 0,0 375 1.0\n", + " 15 V800-A CD3 262144 32 0,0 400 1.0\n", + " 16 G560-A CD49B 262144 32 0,0 400 1.0\n", + " 17 G610-A CD14/19 262144 32 0,0 415 1.0\n", + " 18 G660-A CD69 262144 32 0,0 470 1.0\n", + " 19 G780-A CD103 262144 32 0,0 435 1.0\n", + " 20 Time 262144 32 0,0 0.01,\n", + " 'header': {'FCS format': 'FCS3.0',\n", + " 'text start': 256,\n", + " 'text end': 6333,\n", + " 'data start': 6339,\n", + " 'data end': 19330498,\n", + " 'analysis start': 0,\n", + " 'analysis end': 0},\n", + " 'spill': CD95 CD8 CD27 CXCR4 CCR7 LIVE/DEAD \\\n", + " CD95 1.000000 0.097352 0.000000 0.007011 0.003501 0.000000 \n", + " CD8 0.067916 1.000000 0.000000 0.000000 0.023879 0.000257 \n", + " CD27 0.007903 0.000000 1.000000 0.007492 0.010284 0.027712 \n", + " CXCR4 0.054363 0.100434 0.000000 1.000000 0.024458 0.001439 \n", + " CCR7 0.002288 0.000000 0.000000 0.000000 1.000000 0.034874 \n", + " LIVE/DEAD 0.000000 0.000000 0.003884 0.000705 0.014092 1.000000 \n", + " CD4 0.009741 0.000263 0.000000 0.028274 0.080674 0.005858 \n", + " CD45RA 0.275534 0.028670 0.000000 0.015079 0.102571 0.005517 \n", + " CD3 0.022068 0.073814 0.000000 0.000000 0.099510 0.006832 \n", + " CD49B 0.001869 0.000000 0.000000 0.048687 0.002103 0.009783 \n", + " CD14/19 0.006566 0.000262 0.000000 0.177725 0.006049 0.000889 \n", + " CD69 0.191802 0.032179 0.000000 0.396688 0.003517 0.000172 \n", + " CD103 0.005300 0.105676 0.000000 0.016745 0.006381 0.000771 \n", + " \n", + " CD4 CD45RA CD3 CD49B CD14/19 CD69 \\\n", + " CD95 0.000354 0.040952 0.008773 0.000067 0.001176 0.181536 \n", + " CD8 0.000000 0.003852 0.100139 0.000877 0.000000 0.008990 \n", + " CD27 0.003897 0.001299 0.000216 0.012664 0.002588 0.000000 \n", + " CXCR4 0.000000 0.056397 0.194799 0.000491 0.000000 0.400014 \n", + " CCR7 0.003729 0.000909 0.000282 0.000107 0.000000 0.000000 \n", + " LIVE/DEAD 0.447288 0.144758 0.025271 0.000000 0.000000 0.000000 \n", + " CD4 1.000000 0.434510 0.085092 0.055112 0.390481 0.290524 \n", + " CD45RA 0.180690 1.000000 0.169154 0.000643 0.014777 0.120247 \n", + " CD3 0.000891 0.003268 1.000000 0.000507 0.000000 0.000000 \n", + " CD49B 0.038672 0.008945 0.001060 1.000000 0.400143 0.148085 \n", + " CD14/19 0.065991 0.022692 0.003962 0.124522 1.000000 0.493361 \n", + " CD69 0.000497 0.026221 0.009804 0.022587 0.010298 1.000000 \n", + " CD103 0.000631 0.000561 0.126363 0.049163 0.018982 0.008683 \n", + " \n", + " CD103 \n", + " CD95 0.005969 \n", + " CD8 0.083250 \n", + " CD27 0.000000 \n", + " CXCR4 0.119091 \n", + " CCR7 0.000000 \n", + " LIVE/DEAD 0.000000 \n", + " CD4 0.012522 \n", + " CD45RA 0.005286 \n", + " CD3 0.027061 \n", + " CD49B 0.004221 \n", + " CD14/19 0.019125 \n", + " CD69 0.050517 \n", + " CD103 1.000000 }" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "adata.uns[\"meta\"]" ] @@ -107,7 +614,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 7, "metadata": {}, "outputs": [], "source": [ @@ -116,9 +623,22 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 8, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + 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channelmarker$PnR$PnB$PnE$PnV$PnG
n
1FSC-A262144320,05101.0
2FSC-H262144320,05101.0
3FSC-W262144320,05101.0
4SSC-A262144320,03101.0
5SSC-H262144320,03101.0
6SSC-W262144320,03101.0
7R660-ACD95262144320,04901.0
8R780-ACD8262144320,04751.0
9B515-ACD27262144320,04701.0
10B710-ACXCR4262144320,04171.0
11V450-ACCR7262144320,04001.0
12V545-ALIVE/DEAD262144320,04951.0
13V605-ACD4262144320,04001.0
14V655-ACD45RA262144320,03751.0
15V800-ACD3262144320,04001.0
16G560-ACD49B262144320,04001.0
17G610-ACD14/19262144320,04151.0
18G660-ACD69262144320,04701.0
19G780-ACD103262144320,04351.0
20Time262144320,00.01
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" + ], + "text/plain": [ + " channel marker $PnR $PnB $PnE $PnV $PnG\n", + "n \n", + "1 FSC-A 262144 32 0,0 510 1.0\n", + "2 FSC-H 262144 32 0,0 510 1.0\n", + "3 FSC-W 262144 32 0,0 510 1.0\n", + "4 SSC-A 262144 32 0,0 310 1.0\n", + "5 SSC-H 262144 32 0,0 310 1.0\n", + "6 SSC-W 262144 32 0,0 310 1.0\n", + "7 R660-A CD95 262144 32 0,0 490 1.0\n", + "8 R780-A CD8 262144 32 0,0 475 1.0\n", + "9 B515-A CD27 262144 32 0,0 470 1.0\n", + "10 B710-A CXCR4 262144 32 0,0 417 1.0\n", + "11 V450-A CCR7 262144 32 0,0 400 1.0\n", + "12 V545-A LIVE/DEAD 262144 32 0,0 495 1.0\n", + "13 V605-A CD4 262144 32 0,0 400 1.0\n", + "14 V655-A CD45RA 262144 32 0,0 375 1.0\n", + "15 V800-A CD3 262144 32 0,0 400 1.0\n", + "16 G560-A CD49B 262144 32 0,0 400 1.0\n", + "17 G610-A CD14/19 262144 32 0,0 415 1.0\n", + "18 G660-A CD69 262144 32 0,0 470 1.0\n", + "19 G780-A CD103 262144 32 0,0 435 1.0\n", + "20 Time 262144 32 0,0 0.01" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "adata.var" ] From 367aa50e4b3faae0a0b1e2742c971527e1e9592c Mon Sep 17 00:00:00 2001 From: buettnerm Date: Mon, 20 May 2024 10:07:46 -0700 Subject: [PATCH 3/6] :lipstick: reformat with precommit --- docs/tutorials/preprocessing.ipynb | 355 +------------ docs/tutorials/quickstart.ipynb | 63 +-- docs/tutorials/read_fcs.ipynb | 823 +---------------------------- 3 files changed, 46 insertions(+), 1195 deletions(-) diff --git a/docs/tutorials/preprocessing.ipynb b/docs/tutorials/preprocessing.ipynb index f5c52f9..e4429dc 100644 --- a/docs/tutorials/preprocessing.ipynb +++ b/docs/tutorials/preprocessing.ipynb @@ -18,18 +18,9 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/Users/marenbuettner/miniforge3/envs/pytometry_pd2/lib/python3.9/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", - " from .autonotebook import tqdm as notebook_tqdm\n" - ] - } - ], + "outputs": [], "source": [ "import readfcs\n", "import pytometry as pm" @@ -37,7 +28,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -55,7 +46,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -64,7 +55,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -73,22 +64,9 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "AnnData object with n_obs × n_vars = 241552 × 20\n", - " var: 'n', 'channel', 'marker', '$PnR', '$PnB', '$PnE', '$PnV', '$PnG'\n", - " uns: 'meta'" - ] - }, - "execution_count": 5, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "adata" ] @@ -119,294 +97,9 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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nchannelmarker$PnR$PnB$PnE$PnV$PnG
FSC-A1FSC-A262144320,05101.0
FSC-H2FSC-H262144320,05101.0
FSC-W3FSC-W262144320,05101.0
SSC-A4SSC-A262144320,03101.0
SSC-H5SSC-H262144320,03101.0
SSC-W6SSC-W262144320,03101.0
CD957R660-ACD95262144320,04901.0
CD88R780-ACD8262144320,04751.0
CD279B515-ACD27262144320,04701.0
CXCR410B710-ACXCR4262144320,04171.0
CCR711V450-ACCR7262144320,04001.0
LIVE/DEAD12V545-ALIVE/DEAD262144320,04951.0
CD413V605-ACD4262144320,04001.0
CD45RA14V655-ACD45RA262144320,03751.0
CD315V800-ACD3262144320,04001.0
CD49B16G560-ACD49B262144320,04001.0
CD14/1917G610-ACD14/19262144320,04151.0
CD6918G660-ACD69262144320,04701.0
CD10319G780-ACD103262144320,04351.0
Time20Time262144320,00.01
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" - ], - "text/plain": [ - " n channel marker $PnR $PnB $PnE $PnV $PnG\n", - "FSC-A 1 FSC-A 262144 32 0,0 510 1.0\n", - "FSC-H 2 FSC-H 262144 32 0,0 510 1.0\n", - "FSC-W 3 FSC-W 262144 32 0,0 510 1.0\n", - "SSC-A 4 SSC-A 262144 32 0,0 310 1.0\n", - "SSC-H 5 SSC-H 262144 32 0,0 310 1.0\n", - "SSC-W 6 SSC-W 262144 32 0,0 310 1.0\n", - "CD95 7 R660-A CD95 262144 32 0,0 490 1.0\n", - "CD8 8 R780-A CD8 262144 32 0,0 475 1.0\n", - "CD27 9 B515-A CD27 262144 32 0,0 470 1.0\n", - "CXCR4 10 B710-A CXCR4 262144 32 0,0 417 1.0\n", - "CCR7 11 V450-A CCR7 262144 32 0,0 400 1.0\n", - "LIVE/DEAD 12 V545-A LIVE/DEAD 262144 32 0,0 495 1.0\n", - "CD4 13 V605-A CD4 262144 32 0,0 400 1.0\n", - "CD45RA 14 V655-A CD45RA 262144 32 0,0 375 1.0\n", - "CD3 15 V800-A CD3 262144 32 0,0 400 1.0\n", - "CD49B 16 G560-A CD49B 262144 32 0,0 400 1.0\n", - "CD14/19 17 G610-A CD14/19 262144 32 0,0 415 1.0\n", - "CD69 18 G660-A CD69 262144 32 0,0 470 1.0\n", - "CD103 19 G780-A CD103 262144 32 0,0 435 1.0\n", - "Time 20 Time 262144 32 0,0 0.01" - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "adata.var" ] @@ -421,7 +114,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -430,23 +123,9 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "AnnData object with n_obs × n_vars = 241552 × 13\n", - " obs: 'FSC-A', 'FSC-H', 'FSC-W', 'SSC-A', 'SSC-H', 'SSC-W', 'Time'\n", - " var: 'n', 'channel', 'marker', '$PnR', '$PnB', '$PnE', '$PnV', '$PnG', 'signal_type'\n", - " uns: 'meta'" - ] - }, - "execution_count": 8, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "adata" ] @@ -485,7 +164,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -514,7 +193,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -523,7 +202,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -532,7 +211,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -541,7 +220,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ diff --git a/docs/tutorials/quickstart.ipynb b/docs/tutorials/quickstart.ipynb index 06b7b75..6119c58 100644 --- a/docs/tutorials/quickstart.ipynb +++ b/docs/tutorials/quickstart.ipynb @@ -11,7 +11,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": null, "id": "a51faaf3-ee27-43c6-b48d-13be1adb5c46", "metadata": {}, "outputs": [], @@ -33,7 +33,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": null, "id": "fa758625-efb0-4047-9a03-aa534bf6f78e", "metadata": {}, "outputs": [], @@ -43,7 +43,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": null, "id": "ad22eec0-8f75-4e0b-a132-8a43ccb09b37", "metadata": {}, "outputs": [], @@ -53,7 +53,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": null, "id": "8d571a05", "metadata": {}, "outputs": [], @@ -72,7 +72,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": null, "id": "ef471352", "metadata": {}, "outputs": [], @@ -91,32 +91,10 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": null, "id": "2b1204cf", "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ - "rcParams['figure.figsize'] = (6,5)\n", + "rcParams[\"figure.figsize\"] = (6, 5)\n", "pm.pl.scatter_density(adata, x_lim=[-5e3, 2e5], y_lim=[-5e3, 2e5])" ] }, @@ -162,7 +129,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": null, "id": "5d94e857", "metadata": {}, "outputs": [], @@ -180,7 +147,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": null, "id": "ac74dd0e", "metadata": {}, "outputs": [], @@ -190,7 +157,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": null, "id": "4a6efc35", "metadata": {}, "outputs": [], @@ -200,7 +167,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": null, "id": "828cf9c1", "metadata": {}, "outputs": [], @@ -210,7 +177,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": null, "id": "f528f69a", "metadata": {}, "outputs": [], diff --git a/docs/tutorials/read_fcs.ipynb b/docs/tutorials/read_fcs.ipynb index 0ac75de..3b48352 100644 --- a/docs/tutorials/read_fcs.ipynb +++ b/docs/tutorials/read_fcs.ipynb @@ -18,7 +18,7 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -36,7 +36,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -45,7 +45,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -54,22 +54,9 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "AnnData object with n_obs × n_vars = 241552 × 20\n", - " var: 'n', 'channel', 'marker', '$PnR', '$PnB', '$PnE', '$PnV', '$PnG'\n", - " uns: 'meta'" - ] - }, - "execution_count": 4, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "adata" ] @@ -84,294 +71,9 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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nchannelmarker$PnR$PnB$PnE$PnV$PnG
FSC-A1FSC-A262144320,05101.0
FSC-H2FSC-H262144320,05101.0
FSC-W3FSC-W262144320,05101.0
SSC-A4SSC-A262144320,03101.0
SSC-H5SSC-H262144320,03101.0
SSC-W6SSC-W262144320,03101.0
CD957R660-ACD95262144320,04901.0
CD88R780-ACD8262144320,04751.0
CD279B515-ACD27262144320,04701.0
CXCR410B710-ACXCR4262144320,04171.0
CCR711V450-ACCR7262144320,04001.0
LIVE/DEAD12V545-ALIVE/DEAD262144320,04951.0
CD413V605-ACD4262144320,04001.0
CD45RA14V655-ACD45RA262144320,03751.0
CD315V800-ACD3262144320,04001.0
CD49B16G560-ACD49B262144320,04001.0
CD14/1917G610-ACD14/19262144320,04151.0
CD6918G660-ACD69262144320,04701.0
CD10319G780-ACD103262144320,04351.0
Time20Time262144320,00.01
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" - ], - "text/plain": [ - " n channel marker $PnR $PnB $PnE $PnV $PnG\n", - "FSC-A 1 FSC-A 262144 32 0,0 510 1.0\n", - "FSC-H 2 FSC-H 262144 32 0,0 510 1.0\n", - "FSC-W 3 FSC-W 262144 32 0,0 510 1.0\n", - "SSC-A 4 SSC-A 262144 32 0,0 310 1.0\n", - "SSC-H 5 SSC-H 262144 32 0,0 310 1.0\n", - "SSC-W 6 SSC-W 262144 32 0,0 310 1.0\n", - "CD95 7 R660-A CD95 262144 32 0,0 490 1.0\n", - "CD8 8 R780-A CD8 262144 32 0,0 475 1.0\n", - "CD27 9 B515-A CD27 262144 32 0,0 470 1.0\n", - "CXCR4 10 B710-A CXCR4 262144 32 0,0 417 1.0\n", - "CCR7 11 V450-A CCR7 262144 32 0,0 400 1.0\n", - "LIVE/DEAD 12 V545-A LIVE/DEAD 262144 32 0,0 495 1.0\n", - "CD4 13 V605-A CD4 262144 32 0,0 400 1.0\n", - "CD45RA 14 V655-A CD45RA 262144 32 0,0 375 1.0\n", - "CD3 15 V800-A CD3 262144 32 0,0 400 1.0\n", - "CD49B 16 G560-A CD49B 262144 32 0,0 400 1.0\n", - "CD14/19 17 G610-A CD14/19 262144 32 0,0 415 1.0\n", - "CD69 18 G660-A CD69 262144 32 0,0 470 1.0\n", - "CD103 19 G780-A CD103 262144 32 0,0 435 1.0\n", - "Time 20 Time 262144 32 0,0 0.01" - ] - }, - "execution_count": 5, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "adata.var" ] @@ -386,218 +88,9 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'__header__': {'FCS format': 'FCS3.0',\n", - " 'text start': 256,\n", - " 'text end': 6333,\n", - " 'data start': 6339,\n", - " 'data end': 19330498,\n", - " 'analysis start': 0,\n", - " 'analysis end': 0},\n", - " '$BEGINANALYSIS': '0',\n", - " '$ENDANALYSIS': '0',\n", - " '$BEGINSTEXT': '0',\n", - " '$ENDSTEXT': '0',\n", - " '$BEGINDATA': '6339',\n", - " '$ENDDATA': '19330498 ',\n", - " '$FIL': '2-13-17 T cell Panel_T_E_G05_004.fcs',\n", - " '$SYS': 'Windows 7 6.1',\n", - " '$TOT': 241552,\n", - " '$PAR': 20,\n", - " '$MODE': 'L',\n", - " '$BYTEORD': '4,3,2,1',\n", - " '$DATATYPE': 'F',\n", - " '$NEXTDATA': 0,\n", - " 'CREATOR': 'BD FACSDiva Software Version 8.0',\n", - " 'TUBE NAME': 'T_E',\n", - " '$SRC': '2-13-17 T cell Panel',\n", - " 'EXPERIMENT NAME': 'T_Memory_01-24-17',\n", - " 'GUID': '641fcb4b-10df-4636-9325-31d9c563ae6b',\n", - " '$DATE': '10-SEP-2018',\n", - " '$BTIM': '16:02:38',\n", - " '$ETIM': '16:02:38',\n", - " '$CYT': 'LSRFortessa',\n", - " 'SETTINGS': 'Cytometer',\n", - " 'CYTNUM': 'H64717700086',\n", - " 'WINDOW EXTENSION': '10.00',\n", - " 'EXPORT USER NAME': 'Administrator',\n", - " 'EXPORT TIME': '10-SEP-2018-16:02:38',\n", - " '$OP': 'Administrator',\n", - " 'FSC ASF': '0.69',\n", - " 'AUTOBS': 'TRUE',\n", - " '$INST': ' ',\n", - " 'LASER1NAME': 'Blue',\n", - " 'LASER1DELAY': '0.00',\n", - " 'LASER1ASF': '0.78',\n", - " 'LASER2NAME': 'Green',\n", - " 'LASER2DELAY': '129.57',\n", - " 'LASER2ASF': '0.75',\n", - " 'LASER3NAME': 'Red',\n", - " 'LASER3DELAY': '97.14',\n", - " 'LASER3ASF': '0.57',\n", - " 'LASER4NAME': 'UV',\n", - " 'LASER4DELAY': '65.51',\n", - " 'LASER4ASF': '0.77',\n", - " 'LASER5NAME': 'Violet',\n", - " 'LASER5DELAY': '34.39',\n", - " 'LASER5ASF': '0.88',\n", - " 'PLATE NAME': '2-13-17 T-memory',\n", - " 'WELL ID': 'G05',\n", - " 'PLATE ID': 'dac8255f-b7a7-4020-97d4-b2f6547e9b8b',\n", - " '$TIMESTEP': '0.01',\n", - " 'APPLY COMPENSATION': 'TRUE',\n", - " 'THRESHOLD': 'FSC,5000',\n", - " 'P1DISPLAY': 'LIN',\n", - " 'P1BS': '0',\n", - " 'P1MS': '0',\n", - " 'P2DISPLAY': 'LIN',\n", - " 'P2BS': '0',\n", - " 'P2MS': '0',\n", - " 'P3BS': '-1',\n", - " 'P3MS': '0',\n", - " 'P4DISPLAY': 'LIN',\n", - " 'P4BS': '0',\n", - " 'P4MS': '0',\n", - " 'P5DISPLAY': 'LIN',\n", - " 'P5BS': '0',\n", - " 'P5MS': '0',\n", - " 'P6BS': '-1',\n", - " 'P6MS': '0',\n", - " 'P7DISPLAY': 'LOG',\n", - " 'P7BS': '5464',\n", - " 'P7MS': '0',\n", - " 'P8DISPLAY': 'LOG',\n", - " 'P8BS': '157',\n", - " 'P8MS': '0',\n", - " 'P9DISPLAY': 'LOG',\n", - " 'P9BS': '102',\n", - " 'P9MS': '0',\n", - " 'P10DISPLAY': 'LOG',\n", - " 'P10BS': '4284',\n", - " 'P10MS': '0',\n", - " 'P11DISPLAY': 'LOG',\n", - " 'P11BS': '682',\n", - " 'P11MS': '0',\n", - " 'P12DISPLAY': 'LOG',\n", - " 'P12BS': '177',\n", - " 'P12MS': '0',\n", - " 'P13DISPLAY': 'LOG',\n", - " 'P13BS': '2348',\n", - " 'P13MS': '0',\n", - " 'P14DISPLAY': 'LOG',\n", - " 'P14BS': '2322',\n", - " 'P14MS': '0',\n", - " 'P15DISPLAY': 'LOG',\n", - " 'P15BS': '700',\n", - " 'P15MS': '0',\n", - " 'P16DISPLAY': 'LOG',\n", - " 'P16BS': '679',\n", - " 'P16MS': '0',\n", - " 'P17DISPLAY': 'LOG',\n", - " 'P17BS': '4480',\n", - " 'P17MS': '0',\n", - " 'P18DISPLAY': 'LOG',\n", - " 'P18BS': '3799',\n", - " 'P18MS': '0',\n", - " 'P19DISPLAY': 'LOG',\n", - " 'P19BS': '225',\n", - " 'P19MS': '0',\n", - " 'P20BS': '0',\n", - " 'P20MS': '0',\n", - " 'CST SETUP STATUS': 'SUCCESS',\n", - " 'CST BEADS LOT ID': '74538',\n", - " 'CYTOMETER CONFIG NAME': 'Copy of 5 Lasers UV SORP 2B 6V 2UV 3R 5Gr',\n", - " 'CYTOMETER CONFIG CREATE DATE': '2014-01-29T14:36:56-08:00',\n", - " 'CST SETUP DATE': '2016-12-21T08:52:55-08:00',\n", - " 'CST BASELINE DATE': '2016-10-28T10:11:58-07:00',\n", - " 'CST BEADS EXPIRED': 'False',\n", - " 'CST PERFORMANCE EXPIRED': '2016-12-22T08:52:55-08:00',\n", - " 'CST REGULATORY STATUS': 'RUO Performance Check',\n", - " 'channels': $PnN $PnS $PnR $PnB $PnE $PnV $PnG\n", - " n \n", - " 1 FSC-A 262144 32 0,0 510 1.0\n", - " 2 FSC-H 262144 32 0,0 510 1.0\n", - " 3 FSC-W 262144 32 0,0 510 1.0\n", - " 4 SSC-A 262144 32 0,0 310 1.0\n", - " 5 SSC-H 262144 32 0,0 310 1.0\n", - " 6 SSC-W 262144 32 0,0 310 1.0\n", - " 7 R660-A CD95 262144 32 0,0 490 1.0\n", - " 8 R780-A CD8 262144 32 0,0 475 1.0\n", - " 9 B515-A CD27 262144 32 0,0 470 1.0\n", - " 10 B710-A CXCR4 262144 32 0,0 417 1.0\n", - " 11 V450-A CCR7 262144 32 0,0 400 1.0\n", - " 12 V545-A LIVE/DEAD 262144 32 0,0 495 1.0\n", - " 13 V605-A CD4 262144 32 0,0 400 1.0\n", - " 14 V655-A CD45RA 262144 32 0,0 375 1.0\n", - " 15 V800-A CD3 262144 32 0,0 400 1.0\n", - " 16 G560-A CD49B 262144 32 0,0 400 1.0\n", - " 17 G610-A CD14/19 262144 32 0,0 415 1.0\n", - " 18 G660-A CD69 262144 32 0,0 470 1.0\n", - " 19 G780-A CD103 262144 32 0,0 435 1.0\n", - " 20 Time 262144 32 0,0 0.01,\n", - " 'header': {'FCS format': 'FCS3.0',\n", - " 'text start': 256,\n", - " 'text end': 6333,\n", - " 'data start': 6339,\n", - " 'data end': 19330498,\n", - " 'analysis start': 0,\n", - " 'analysis end': 0},\n", - " 'spill': CD95 CD8 CD27 CXCR4 CCR7 LIVE/DEAD \\\n", - " CD95 1.000000 0.097352 0.000000 0.007011 0.003501 0.000000 \n", - " CD8 0.067916 1.000000 0.000000 0.000000 0.023879 0.000257 \n", - " CD27 0.007903 0.000000 1.000000 0.007492 0.010284 0.027712 \n", - " CXCR4 0.054363 0.100434 0.000000 1.000000 0.024458 0.001439 \n", - " CCR7 0.002288 0.000000 0.000000 0.000000 1.000000 0.034874 \n", - " LIVE/DEAD 0.000000 0.000000 0.003884 0.000705 0.014092 1.000000 \n", - " CD4 0.009741 0.000263 0.000000 0.028274 0.080674 0.005858 \n", - " CD45RA 0.275534 0.028670 0.000000 0.015079 0.102571 0.005517 \n", - " CD3 0.022068 0.073814 0.000000 0.000000 0.099510 0.006832 \n", - " CD49B 0.001869 0.000000 0.000000 0.048687 0.002103 0.009783 \n", - " CD14/19 0.006566 0.000262 0.000000 0.177725 0.006049 0.000889 \n", - " CD69 0.191802 0.032179 0.000000 0.396688 0.003517 0.000172 \n", - " CD103 0.005300 0.105676 0.000000 0.016745 0.006381 0.000771 \n", - " \n", - " CD4 CD45RA CD3 CD49B CD14/19 CD69 \\\n", - " CD95 0.000354 0.040952 0.008773 0.000067 0.001176 0.181536 \n", - " CD8 0.000000 0.003852 0.100139 0.000877 0.000000 0.008990 \n", - " CD27 0.003897 0.001299 0.000216 0.012664 0.002588 0.000000 \n", - " CXCR4 0.000000 0.056397 0.194799 0.000491 0.000000 0.400014 \n", - " CCR7 0.003729 0.000909 0.000282 0.000107 0.000000 0.000000 \n", - " LIVE/DEAD 0.447288 0.144758 0.025271 0.000000 0.000000 0.000000 \n", - " CD4 1.000000 0.434510 0.085092 0.055112 0.390481 0.290524 \n", - " CD45RA 0.180690 1.000000 0.169154 0.000643 0.014777 0.120247 \n", - " CD3 0.000891 0.003268 1.000000 0.000507 0.000000 0.000000 \n", - " CD49B 0.038672 0.008945 0.001060 1.000000 0.400143 0.148085 \n", - " CD14/19 0.065991 0.022692 0.003962 0.124522 1.000000 0.493361 \n", - " CD69 0.000497 0.026221 0.009804 0.022587 0.010298 1.000000 \n", - " CD103 0.000631 0.000561 0.126363 0.049163 0.018982 0.008683 \n", - " \n", - " CD103 \n", - " CD95 0.005969 \n", - " CD8 0.083250 \n", - " CD27 0.000000 \n", - " CXCR4 0.119091 \n", - " CCR7 0.000000 \n", - " LIVE/DEAD 0.000000 \n", - " CD4 0.012522 \n", - " CD45RA 0.005286 \n", - " CD3 0.027061 \n", - " CD49B 0.004221 \n", - " CD14/19 0.019125 \n", - " CD69 0.050517 \n", - " CD103 1.000000 }" - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "adata.uns[\"meta\"]" ] @@ -614,7 +107,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -623,22 +116,9 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "AnnData object with n_obs × n_vars = 241552 × 20\n", - " var: 'channel', 'marker', '$PnR', '$PnB', '$PnE', '$PnV', '$PnG'\n", - " uns: 'meta'" - ] - }, - "execution_count": 8, - "metadata": {}, - "output_type": "execute_result" - 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channelmarker$PnR$PnB$PnE$PnV$PnG
n
1FSC-A262144320,05101.0
2FSC-H262144320,05101.0
3FSC-W262144320,05101.0
4SSC-A262144320,03101.0
5SSC-H262144320,03101.0
6SSC-W262144320,03101.0
7R660-ACD95262144320,04901.0
8R780-ACD8262144320,04751.0
9B515-ACD27262144320,04701.0
10B710-ACXCR4262144320,04171.0
11V450-ACCR7262144320,04001.0
12V545-ALIVE/DEAD262144320,04951.0
13V605-ACD4262144320,04001.0
14V655-ACD45RA262144320,03751.0
15V800-ACD3262144320,04001.0
16G560-ACD49B262144320,04001.0
17G610-ACD14/19262144320,04151.0
18G660-ACD69262144320,04701.0
19G780-ACD103262144320,04351.0
20Time262144320,00.01
\n", - "
" - ], - "text/plain": [ - " channel marker $PnR $PnB $PnE $PnV $PnG\n", - "n \n", - "1 FSC-A 262144 32 0,0 510 1.0\n", - "2 FSC-H 262144 32 0,0 510 1.0\n", - "3 FSC-W 262144 32 0,0 510 1.0\n", - "4 SSC-A 262144 32 0,0 310 1.0\n", - "5 SSC-H 262144 32 0,0 310 1.0\n", - "6 SSC-W 262144 32 0,0 310 1.0\n", - "7 R660-A CD95 262144 32 0,0 490 1.0\n", - "8 R780-A CD8 262144 32 0,0 475 1.0\n", - "9 B515-A CD27 262144 32 0,0 470 1.0\n", - "10 B710-A CXCR4 262144 32 0,0 417 1.0\n", - "11 V450-A CCR7 262144 32 0,0 400 1.0\n", - "12 V545-A LIVE/DEAD 262144 32 0,0 495 1.0\n", - "13 V605-A CD4 262144 32 0,0 400 1.0\n", - "14 V655-A CD45RA 262144 32 0,0 375 1.0\n", - "15 V800-A CD3 262144 32 0,0 400 1.0\n", - "16 G560-A CD49B 262144 32 0,0 400 1.0\n", - "17 G610-A CD14/19 262144 32 0,0 415 1.0\n", - "18 G660-A CD69 262144 32 0,0 470 1.0\n", - "19 G780-A CD103 262144 32 0,0 435 1.0\n", - "20 Time 262144 32 0,0 0.01" - ] - }, - "execution_count": 9, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "adata.var" ] From 577fd376db62a1c20614ff19ed9af158b3acd83f Mon Sep 17 00:00:00 2001 From: buettnerm Date: Mon, 20 May 2024 10:12:49 -0700 Subject: [PATCH 4/6] :wrench: Move pandas down in deps --- pyproject.toml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index 89927c4..3b65cc1 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -15,7 +15,6 @@ requires-python = '>= 3.9' dependencies = [ "numpy>=1.20.0", "numba>=0.57", - "pandas>1.5.3", "anndata", "scanpy", "scipy", @@ -24,7 +23,8 @@ dependencies = [ "readfcs >=1.1.0", "flowutils", "consensusclustering", - "minisom" + "minisom", + "pandas>1.5.3" ] [project.urls] From bee7ca842de7007808f3306cdc909b6106388f84 Mon Sep 17 00:00:00 2001 From: buettnerm Date: Mon, 20 May 2024 10:14:32 -0700 Subject: [PATCH 5/6] :wrench: remove version req from pandas --- pyproject.toml | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index 3b65cc1..f01c88a 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -15,6 +15,7 @@ requires-python = '>= 3.9' dependencies = [ "numpy>=1.20.0", "numba>=0.57", + "pandas", "anndata", "scanpy", "scipy", @@ -23,8 +24,8 @@ dependencies = [ "readfcs >=1.1.0", "flowutils", "consensusclustering", - "minisom", - "pandas>1.5.3" + "minisom" + ] [project.urls] From b2851cf0476c461af412d2164d436a277aa4245f Mon Sep 17 00:00:00 2001 From: buettnerm Date: Mon, 20 May 2024 10:16:12 -0700 Subject: [PATCH 6/6] :lipstick: precommit run --- pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pyproject.toml b/pyproject.toml index f01c88a..f095819 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -25,7 +25,7 @@ dependencies = [ "flowutils", "consensusclustering", "minisom" - + ] [project.urls]