diff --git a/.gitignore b/.gitignore
index b0849d6..49a2d9c 100644
--- a/.gitignore
+++ b/.gitignore
@@ -136,3 +136,10 @@ dmypy.json
 
 # Pyre type checker
 .pyre/
+
+# data
+*.h5
+*.hdf5
+notebooks/1
+notebooks/2
+notebooks/3
diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index 9b1ccd4..d81569e 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -25,14 +25,14 @@ repos:
     hooks:
       - id: docformatter
   - repo: https://github.com/charliermarsh/ruff-pre-commit
-    rev: v0.1.6
+    rev: v0.1.13
     hooks:
       - id: ruff
         args: [--fix]
       - id: ruff-format
         types_or: [python, pyi, jupyter]
   - repo: https://github.com/pre-commit/mirrors-mypy
-    rev: v1.7.1
+    rev: v1.8.0
     hooks:
       - id: mypy
         additional_dependencies:
diff --git a/notebooks/prepare.py b/notebooks/prepare.py
new file mode 100644
index 0000000..94f32c0
--- /dev/null
+++ b/notebooks/prepare.py
@@ -0,0 +1,37 @@
+# Artificially modify data for the notebooks
+from __future__ import annotations
+
+from imas2xarray import Variable, to_imas, to_xarray
+
+variables = (
+    Variable(
+        name='ion_temperature',
+        ids='core_profiles',
+        path='profiles_1d/*/ion/*/temperature',
+        dims=['time', 'ion', '$rho_tor_norm'],
+    ),
+    't_i_ave',
+)
+
+ids = 'core_profiles'
+path = '.'
+
+for subdir, k in (
+    ('2', 1.2),
+    ('3', 1.4),
+):
+    dataset = to_xarray(
+        f'{path}/1/data',
+        ids=ids,
+        variables=variables,
+    )
+    print(subdir, k)
+    dataset['t_i_ave'] *= k
+    dataset['ion_temperature'] *= k
+
+    to_imas(
+        f'{path}/{subdir}/data',
+        dataset=dataset,
+        ids=ids,
+        variables=variables,
+    )
diff --git a/notebooks/prepare.sh b/notebooks/prepare.sh
new file mode 100644
index 0000000..4052c88
--- /dev/null
+++ b/notebooks/prepare.sh
@@ -0,0 +1,8 @@
+# Small script to initialize a few datasets for the notebooks using the `hdf5_testdata`:
+# https://github.com/duqtools/hdf5_testdata/tree/main
+
+git clone ~/python/hdf5_testdata 1
+git clone ~/python/hdf5_testdata 2
+git clone ~/python/hdf5_testdata 3
+
+python prepare.py
diff --git a/notebooks/xarray-2D.ipynb b/notebooks/xarray-2D.ipynb
index 099fdc2..a1e8be5 100644
--- a/notebooks/xarray-2D.ipynb
+++ b/notebooks/xarray-2D.ipynb
@@ -5,26 +5,9 @@
    "execution_count": 1,
    "id": "ceeb08fb",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'3.12.0 (main, Oct  2 2023, 00:00:00) [GCC 13.2.1 20230918 (Red Hat 13.2.1-3)]'"
-      ]
-     },
-     "execution_count": 1,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
-    "from __future__ import annotations\n",
-    "\n",
-    "%load_ext autoreload\n",
-    "%autoreload 2\n",
-    "import sys\n",
-    "\n",
-    "sys.version"
+    "from __future__ import annotations"
    ]
   },
   {
@@ -65,21 +48,20 @@
     "        name='dim1',\n",
     "        ids='equilibrium',\n",
     "        path='time_slice/*/profiles_2d/0/grid/dim1',\n",
-    "        dims=['time', '$dim1'],\n",
+    "        dims=['time_eq', '$dim1'],\n",
     "    ),\n",
     "    Variable(\n",
     "        name='dim2',\n",
     "        ids='equilibrium',\n",
     "        path='time_slice/*/profiles_2d/0/grid/dim2',\n",
-    "        dims=['time', '$dim2'],\n",
+    "        dims=['time_eq', '$dim2'],\n",
     "    ),\n",
     "    Variable(\n",
     "        name='psi',\n",
     "        ids='equilibrium',\n",
     "        path='time_slice/*/profiles_2d/0/psi',\n",
-    "        dims=['time', '$dim1', '$dim2'],\n",
+    "        dims=['time_eq', '$dim1', '$dim2'],\n",
     "    ),\n",
-    "    Variable(name='time', ids='equilibrium', path='time', dims=['time']),\n",
     ")"
    ]
   },
@@ -115,9 +97,8 @@
     "        name='psi',\n",
     "        ids='equilibrium',\n",
     "        path='time_slice/*/profiles_2d/0/psi',\n",
-    "        dims=['time', 'dim1', 'dim2'],\n",
+    "        dims=['time_eq', 'dim1', 'dim2'],\n",
     "    ),\n",
-    "    Variable(name='time', ids='equilibrium', path='time', dims=['time']),\n",
     ")"
    ]
   },
@@ -504,20 +485,13 @@
        "  fill: currentColor;\n",
        "}\n",
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
-       "Dimensions:  (time: 1, dim1: 65, dim2: 65)\n",
+       "Dimensions:  (time_eq: 1, dim1: 65, dim2: 65)\n",
        "Coordinates:\n",
-       "  * time     (time) float64 50.04\n",
-       "  * dim1     (dim1) float64 1.65 1.687 1.725 1.762 ... 3.938 3.975 4.013 4.05\n",
+       "  * time_eq  (time_eq) float64 50.04\n",
        "  * dim2     (dim2) float64 -1.9 -1.837 -1.773 -1.71 ... 1.96 2.023 2.087 2.15\n",
+       "  * dim1     (dim1) float64 1.65 1.687 1.725 1.762 ... 3.938 3.975 4.013 4.05\n",
        "Data variables:\n",
-       "    psi      (time, dim1, dim2) float64 -6.212 -6.112 -6.012 ... -10.8 -11.03</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-08f95b45-baf9-418d-8077-5a65a0cee156' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-08f95b45-baf9-418d-8077-5a65a0cee156' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 1</li><li><span class='xr-has-index'>dim1</span>: 65</li><li><span class='xr-has-index'>dim2</span>: 65</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-b2957e7d-2d40-4102-93c0-e21c509569ea' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b2957e7d-2d40-4102-93c0-e21c509569ea' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>50.04</div><input id='attrs-92083bbc-5203-44cc-8a25-166b59ed6b9d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-92083bbc-5203-44cc-8a25-166b59ed6b9d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6f1ee4a6-126a-4019-8194-62f72a65ef72' class='xr-var-data-in' type='checkbox'><label for='data-6f1ee4a6-126a-4019-8194-62f72a65ef72' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([50.0448])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>dim1</span></div><div class='xr-var-dims'>(dim1)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.65 1.687 1.725 ... 4.013 4.05</div><input id='attrs-44a24de2-c4fa-4c76-8fca-7c7cbc9210d0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-44a24de2-c4fa-4c76-8fca-7c7cbc9210d0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6f74a763-a1f2-401f-8b9f-4bf368b7ee9a' class='xr-var-data-in' type='checkbox'><label for='data-6f74a763-a1f2-401f-8b9f-4bf368b7ee9a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([1.65  , 1.6875, 1.725 , 1.7625, 1.8   , 1.8375, 1.875 , 1.9125, 1.95  ,\n",
-       "       1.9875, 2.025 , 2.0625, 2.1   , 2.1375, 2.175 , 2.2125, 2.25  , 2.2875,\n",
-       "       2.325 , 2.3625, 2.4   , 2.4375, 2.475 , 2.5125, 2.55  , 2.5875, 2.625 ,\n",
-       "       2.6625, 2.7   , 2.7375, 2.775 , 2.8125, 2.85  , 2.8875, 2.925 , 2.9625,\n",
-       "       3.    , 3.0375, 3.075 , 3.1125, 3.15  , 3.1875, 3.225 , 3.2625, 3.3   ,\n",
-       "       3.3375, 3.375 , 3.4125, 3.45  , 3.4875, 3.525 , 3.5625, 3.6   , 3.6375,\n",
-       "       3.675 , 3.7125, 3.75  , 3.7875, 3.825 , 3.8625, 3.9   , 3.9375, 3.975 ,\n",
-       "       4.0125, 4.05  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>dim2</span></div><div class='xr-var-dims'>(dim2)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-1.9 -1.837 -1.773 ... 2.087 2.15</div><input id='attrs-6233075a-5c36-44b5-b77e-c6eec79d6e6e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6233075a-5c36-44b5-b77e-c6eec79d6e6e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3ebe55de-2cb9-4a0c-84eb-47d34e78e25d' class='xr-var-data-in' type='checkbox'><label for='data-3ebe55de-2cb9-4a0c-84eb-47d34e78e25d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-1.900000e+00, -1.836719e+00, -1.773437e+00, -1.710156e+00,\n",
+       "    psi      (time_eq, dim1, dim2) float64 -6.212 -6.112 -6.012 ... -10.8 -11.03</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-9bd814ee-d2ca-4e73-a9e3-98859351ce7c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-9bd814ee-d2ca-4e73-a9e3-98859351ce7c' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time_eq</span>: 1</li><li><span class='xr-has-index'>dim1</span>: 65</li><li><span class='xr-has-index'>dim2</span>: 65</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-3f80b60e-cb49-48f6-80aa-60d42d4a5bef' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3f80b60e-cb49-48f6-80aa-60d42d4a5bef' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time_eq</span></div><div class='xr-var-dims'>(time_eq)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>50.04</div><input id='attrs-14c4a479-35c5-4a9d-9ca5-66aaa150a325' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-14c4a479-35c5-4a9d-9ca5-66aaa150a325' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-66b0ae17-bdb8-427a-9f8b-c33b59f86af9' class='xr-var-data-in' type='checkbox'><label for='data-66b0ae17-bdb8-427a-9f8b-c33b59f86af9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([50.0448])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>dim2</span></div><div class='xr-var-dims'>(dim2)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-1.9 -1.837 -1.773 ... 2.087 2.15</div><input id='attrs-c9e1b2ff-23b6-4ad7-aa8f-50f6e84589fc' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c9e1b2ff-23b6-4ad7-aa8f-50f6e84589fc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e6ae090f-e133-496d-8896-2d0cb0095a90' class='xr-var-data-in' type='checkbox'><label for='data-e6ae090f-e133-496d-8896-2d0cb0095a90' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-1.900000e+00, -1.836719e+00, -1.773437e+00, -1.710156e+00,\n",
        "       -1.646875e+00, -1.583594e+00, -1.520312e+00, -1.457031e+00,\n",
        "       -1.393750e+00, -1.330469e+00, -1.267187e+00, -1.203906e+00,\n",
        "       -1.140625e+00, -1.077344e+00, -1.014062e+00, -9.507812e-01,\n",
@@ -533,7 +507,14 @@
        "        1.390625e+00,  1.453906e+00,  1.517188e+00,  1.580469e+00,\n",
        "        1.643750e+00,  1.707031e+00,  1.770313e+00,  1.833594e+00,\n",
        "        1.896875e+00,  1.960156e+00,  2.023438e+00,  2.086719e+00,\n",
-       "        2.150000e+00])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9089e97e-7b4e-4fe1-8426-a229b72309b7' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9089e97e-7b4e-4fe1-8426-a229b72309b7' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>psi</span></div><div class='xr-var-dims'>(time, dim1, dim2)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-6.212 -6.112 ... -10.8 -11.03</div><input id='attrs-f508b916-7e5c-4c9e-8197-74b35fe95d7f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f508b916-7e5c-4c9e-8197-74b35fe95d7f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-57647743-d6f1-4502-817d-c581c31d342f' class='xr-var-data-in' type='checkbox'><label for='data-57647743-d6f1-4502-817d-c581c31d342f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[ -6.2124458 ,  -6.11247602,  -6.01247103, ..., -12.52124851,\n",
+       "        2.150000e+00])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>dim1</span></div><div class='xr-var-dims'>(dim1)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.65 1.687 1.725 ... 4.013 4.05</div><input id='attrs-c0c0da7f-e2c1-44e1-b9cd-cefac312f0b5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c0c0da7f-e2c1-44e1-b9cd-cefac312f0b5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0646f336-b1cb-49da-860f-a270ff8dae89' class='xr-var-data-in' type='checkbox'><label for='data-0646f336-b1cb-49da-860f-a270ff8dae89' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([1.65  , 1.6875, 1.725 , 1.7625, 1.8   , 1.8375, 1.875 , 1.9125, 1.95  ,\n",
+       "       1.9875, 2.025 , 2.0625, 2.1   , 2.1375, 2.175 , 2.2125, 2.25  , 2.2875,\n",
+       "       2.325 , 2.3625, 2.4   , 2.4375, 2.475 , 2.5125, 2.55  , 2.5875, 2.625 ,\n",
+       "       2.6625, 2.7   , 2.7375, 2.775 , 2.8125, 2.85  , 2.8875, 2.925 , 2.9625,\n",
+       "       3.    , 3.0375, 3.075 , 3.1125, 3.15  , 3.1875, 3.225 , 3.2625, 3.3   ,\n",
+       "       3.3375, 3.375 , 3.4125, 3.45  , 3.4875, 3.525 , 3.5625, 3.6   , 3.6375,\n",
+       "       3.675 , 3.7125, 3.75  , 3.7875, 3.825 , 3.8625, 3.9   , 3.9375, 3.975 ,\n",
+       "       4.0125, 4.05  ])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-55011899-08e2-4bfc-9efd-42ce1fe9a703' class='xr-section-summary-in' type='checkbox'  checked><label for='section-55011899-08e2-4bfc-9efd-42ce1fe9a703' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>psi</span></div><div class='xr-var-dims'>(time_eq, dim1, dim2)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-6.212 -6.112 ... -10.8 -11.03</div><input id='attrs-28dddd56-03a7-4f3b-9705-d3b2980549a6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-28dddd56-03a7-4f3b-9705-d3b2980549a6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-549b54b9-4976-4d89-9efd-fe4fece8fb93' class='xr-var-data-in' type='checkbox'><label for='data-549b54b9-4976-4d89-9efd-fe4fece8fb93' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[ -6.2124458 ,  -6.11247602,  -6.01247103, ..., -12.52124851,\n",
        "         -12.82208102, -13.12563394],\n",
        "        [ -6.24916097,  -6.14598653,  -6.04149607, ..., -12.4689546 ,\n",
        "         -12.77627581, -13.08734584],\n",
@@ -545,29 +526,7 @@
        "        [ -6.05778975,  -6.00693132,  -5.96076097, ..., -10.38856655,\n",
        "         -10.63241782, -10.87764951],\n",
        "        [ -5.95723237,  -5.93079891,  -5.90820378, ..., -10.56198952,\n",
-       "         -10.79696048, -11.03249993]]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4ecf424e-8c36-44d1-b76a-8ffd210695a8' class='xr-section-summary-in' type='checkbox'  ><label for='section-4ecf424e-8c36-44d1-b76a-8ffd210695a8' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-17b1bf9d-8fa8-4907-8fa8-c38d192415d5' class='xr-index-data-in' type='checkbox'/><label for='index-17b1bf9d-8fa8-4907-8fa8-c38d192415d5' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([50.0448], dtype=&#x27;float64&#x27;, name=&#x27;time&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>dim1</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-48cf83dc-24b9-4d10-bd36-dc614c567145' class='xr-index-data-in' type='checkbox'/><label for='index-48cf83dc-24b9-4d10-bd36-dc614c567145' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 1.649999976158142, 1.6874999795109034, 1.7249999828636646,\n",
-       "        1.762499986216426, 1.7999999895691872, 1.8374999929219484,\n",
-       "       1.8749999962747097,  1.912499999627471, 1.9500000029802322,\n",
-       "       1.9875000063329935, 2.0250000096857548,  2.062500013038516,\n",
-       "       2.1000000163912773, 2.1375000197440386,    2.1750000230968,\n",
-       "        2.212500026449561, 2.2500000298023224, 2.2875000331550837,\n",
-       "        2.325000036507845,  2.362500039860606, 2.4000000432133675,\n",
-       "       2.4375000465661287,   2.47500004991889, 2.5125000532716513,\n",
-       "       2.5500000566244125,  2.587500059977174,  2.625000063329935,\n",
-       "       2.6625000666826963, 2.7000000700354576,  2.737500073388219,\n",
-       "         2.77500007674098, 2.8125000800937414, 2.8500000834465027,\n",
-       "        2.887500086799264, 2.9250000901520252, 2.9625000935047865,\n",
-       "       3.0000000968575478,  3.037500100210309, 3.0750001035630703,\n",
-       "       3.1125001069158316,  3.150000110268593,  3.187500113621354,\n",
-       "       3.2250001169741154, 3.2625001203268766,  3.300000123679638,\n",
-       "        3.337500127032399, 3.3750001303851604, 3.4125001337379217,\n",
-       "        3.450000137090683, 3.4875001404434443, 3.5250001437962055,\n",
-       "        3.562500147148967,  3.600000150501728, 3.6375001538544893,\n",
-       "       3.6750001572072506,  3.712500160560012,  3.750000163912773,\n",
-       "       3.7875001672655344, 3.8250001706182957,  3.862500173971057,\n",
-       "        3.900000177323818, 3.9375001806765795, 3.9750001840293407,\n",
-       "        4.012500187382102,  4.050000190734863],\n",
-       "      dtype=&#x27;float64&#x27;, name=&#x27;dim1&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>dim2</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-e53b4eb7-e84f-4d52-b23b-8bf41a00a2fb' class='xr-index-data-in' type='checkbox'/><label for='index-e53b4eb7-e84f-4d52-b23b-8bf41a00a2fb' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([    -1.899999976158142,     -1.836718725040555,     -1.773437473922968,\n",
+       "         -10.79696048, -11.03249993]]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e32f01b9-f28c-4be0-87c5-4dda7a2bf6cf' class='xr-section-summary-in' type='checkbox'  ><label for='section-e32f01b9-f28c-4be0-87c5-4dda7a2bf6cf' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time_eq</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-9e5169a9-4ca3-4481-a8be-dcb118ddae3d' class='xr-index-data-in' type='checkbox'/><label for='index-9e5169a9-4ca3-4481-a8be-dcb118ddae3d' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([50.0448], dtype=&#x27;float64&#x27;, name=&#x27;time_eq&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>dim2</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-1030a4a8-3309-4241-85f8-b763ad2aa47e' class='xr-index-data-in' type='checkbox'/><label for='index-1030a4a8-3309-4241-85f8-b763ad2aa47e' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([    -1.899999976158142,     -1.836718725040555,     -1.773437473922968,\n",
        "          -1.7101562228053808,    -1.6468749716877937,    -1.5835937205702066,\n",
        "          -1.5203124694526196,    -1.4570312183350325,    -1.3937499672174454,\n",
        "          -1.3304687160998583,    -1.2671874649822712,     -1.203906213864684,\n",
@@ -589,17 +548,39 @@
        "            1.707031337544322,      1.770312588661909,     1.8335938397794962,\n",
        "           1.8968750908970833,     1.9601563420146704,     2.0234375931322575,\n",
        "           2.0867188442498446,     2.1500000953674316],\n",
-       "      dtype=&#x27;float64&#x27;, name=&#x27;dim2&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-bc0e1eb7-8c4b-4479-bc90-4ca3e440fe9f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-bc0e1eb7-8c4b-4479-bc90-4ca3e440fe9f' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+       "      dtype=&#x27;float64&#x27;, name=&#x27;dim2&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>dim1</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-6608f140-f7a7-42dc-af64-9d771f1941ab' class='xr-index-data-in' type='checkbox'/><label for='index-6608f140-f7a7-42dc-af64-9d771f1941ab' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 1.649999976158142, 1.6874999795109034, 1.7249999828636646,\n",
+       "        1.762499986216426, 1.7999999895691872, 1.8374999929219484,\n",
+       "       1.8749999962747097,  1.912499999627471, 1.9500000029802322,\n",
+       "       1.9875000063329935, 2.0250000096857548,  2.062500013038516,\n",
+       "       2.1000000163912773, 2.1375000197440386,    2.1750000230968,\n",
+       "        2.212500026449561, 2.2500000298023224, 2.2875000331550837,\n",
+       "        2.325000036507845,  2.362500039860606, 2.4000000432133675,\n",
+       "       2.4375000465661287,   2.47500004991889, 2.5125000532716513,\n",
+       "       2.5500000566244125,  2.587500059977174,  2.625000063329935,\n",
+       "       2.6625000666826963, 2.7000000700354576,  2.737500073388219,\n",
+       "         2.77500007674098, 2.8125000800937414, 2.8500000834465027,\n",
+       "        2.887500086799264, 2.9250000901520252, 2.9625000935047865,\n",
+       "       3.0000000968575478,  3.037500100210309, 3.0750001035630703,\n",
+       "       3.1125001069158316,  3.150000110268593,  3.187500113621354,\n",
+       "       3.2250001169741154, 3.2625001203268766,  3.300000123679638,\n",
+       "        3.337500127032399, 3.3750001303851604, 3.4125001337379217,\n",
+       "        3.450000137090683, 3.4875001404434443, 3.5250001437962055,\n",
+       "        3.562500147148967,  3.600000150501728, 3.6375001538544893,\n",
+       "       3.6750001572072506,  3.712500160560012,  3.750000163912773,\n",
+       "       3.7875001672655344, 3.8250001706182957,  3.862500173971057,\n",
+       "        3.900000177323818, 3.9375001806765795, 3.9750001840293407,\n",
+       "        4.012500187382102,  4.050000190734863],\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;dim1&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3c534767-95b4-42b6-8fd4-de9558962e2a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3c534767-95b4-42b6-8fd4-de9558962e2a' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.Dataset>\n",
-       "Dimensions:  (time: 1, dim1: 65, dim2: 65)\n",
+       "Dimensions:  (time_eq: 1, dim1: 65, dim2: 65)\n",
        "Coordinates:\n",
-       "  * time     (time) float64 50.04\n",
-       "  * dim1     (dim1) float64 1.65 1.687 1.725 1.762 ... 3.938 3.975 4.013 4.05\n",
+       "  * time_eq  (time_eq) float64 50.04\n",
        "  * dim2     (dim2) float64 -1.9 -1.837 -1.773 -1.71 ... 1.96 2.023 2.087 2.15\n",
+       "  * dim1     (dim1) float64 1.65 1.687 1.725 1.762 ... 3.938 3.975 4.013 4.05\n",
        "Data variables:\n",
-       "    psi      (time, dim1, dim2) float64 -6.212 -6.112 -6.012 ... -10.8 -11.03"
+       "    psi      (time_eq, dim1, dim2) float64 -6.212 -6.112 -6.012 ... -10.8 -11.03"
       ]
      },
      "execution_count": 4,
@@ -610,7 +591,7 @@
    "source": [
     "from imas2xarray import to_xarray\n",
     "\n",
-    "path = '/pfs/work/g2aho/public/imasdb/test/3/92436/1/'\n",
+    "path = './1/data'\n",
     "ids = 'equilibrium'\n",
     "\n",
     "ds = to_xarray(path, ids=ids, variables=variables)\n",
@@ -639,9 +620,9 @@
     "from imas2xarray import rebase_on_grid\n",
     "\n",
     "paths = (\n",
-    "    '/pfs/work/g2aho/public/imasdb/test/3/92436/1/',\n",
-    "    '/pfs/work/g2aho/public/imasdb/test/3/92436/2/',\n",
-    "    '/pfs/work/g2aho/public/imasdb/test/3/92436/3/',\n",
+    "    './1/data',\n",
+    "    './2/data',\n",
+    "    './3/data',\n",
     ")\n",
     "\n",
     "datasets = [to_xarray(path, ids=ids, variables=variables) for path in paths]\n",
@@ -695,7 +676,7 @@
     "from imas2xarray import rezero_time\n",
     "\n",
     "for ds in datasets:\n",
-    "    rezero_time(ds, start=0.1)"
+    "    rezero_time(ds, start=0.1, key='time_eq')"
    ]
   },
   {
@@ -719,9 +700,11 @@
    "source": [
     "from imas2xarray import rebase_on_time\n",
     "\n",
-    "reference_time = datasets[0]['time'].data\n",
+    "reference_time = datasets[0]['time_eq'].data\n",
     "\n",
-    "datasets = [rebase_on_time(ds, time_dim='time', new_coords=reference_time) for ds in datasets]"
+    "datasets = [\n",
+    "    rebase_on_time(ds, time_dim='time_eq', new_coords=reference_time) for ds in datasets\n",
+    "]"
    ]
   },
   {
@@ -1128,21 +1111,21 @@
        "  fill: currentColor;\n",
        "}\n",
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
-       "Dimensions:  (run: 3, time: 1, dim1: 65, dim2: 65)\n",
+       "Dimensions:  (run: 3, time_eq: 1, dim1: 65, dim2: 65)\n",
        "Coordinates:\n",
-       "  * time     (time) float64 0.1\n",
+       "  * time_eq  (time_eq) float64 0.1\n",
        "  * dim1     (dim1) float64 1.65 1.687 1.725 1.762 ... 3.938 3.975 4.013 4.05\n",
        "  * dim2     (dim2) float64 -1.9 -1.837 -1.773 -1.71 ... 1.96 2.023 2.087 2.15\n",
        "  * run      (run) &lt;U5 &#x27;run_0&#x27; &#x27;run_1&#x27; &#x27;run_2&#x27;\n",
        "Data variables:\n",
-       "    psi      (run, time, dim1, dim2) float64 -6.834 -6.724 ... -9.717 -9.929</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-45c57d3f-ff5e-4511-b84c-7f9985aee322' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-45c57d3f-ff5e-4511-b84c-7f9985aee322' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>run</span>: 3</li><li><span class='xr-has-index'>time</span>: 1</li><li><span class='xr-has-index'>dim1</span>: 65</li><li><span class='xr-has-index'>dim2</span>: 65</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-52949ba5-97c5-4091-8dd4-0f9640b47cd2' class='xr-section-summary-in' type='checkbox'  checked><label for='section-52949ba5-97c5-4091-8dd4-0f9640b47cd2' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.1</div><input id='attrs-be6b39ff-9965-46cb-9ae9-6152144503c5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-be6b39ff-9965-46cb-9ae9-6152144503c5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fa6cb16b-d66c-45d0-ba35-9746015be117' class='xr-var-data-in' type='checkbox'><label for='data-fa6cb16b-d66c-45d0-ba35-9746015be117' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.1])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>dim1</span></div><div class='xr-var-dims'>(dim1)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.65 1.687 1.725 ... 4.013 4.05</div><input id='attrs-10307332-1782-4997-bc8a-0c9aeff6bd2b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-10307332-1782-4997-bc8a-0c9aeff6bd2b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3fa0b67c-4b18-4a10-9684-05b5c802b611' class='xr-var-data-in' type='checkbox'><label for='data-3fa0b67c-4b18-4a10-9684-05b5c802b611' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([1.65  , 1.6875, 1.725 , 1.7625, 1.8   , 1.8375, 1.875 , 1.9125, 1.95  ,\n",
+       "    psi      (run, time_eq, dim1, dim2) float64 -6.212 -6.112 ... -10.8 -11.03</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-e84332b2-3fa7-4106-a993-4d3bce5e14ff' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e84332b2-3fa7-4106-a993-4d3bce5e14ff' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>run</span>: 3</li><li><span class='xr-has-index'>time_eq</span>: 1</li><li><span class='xr-has-index'>dim1</span>: 65</li><li><span class='xr-has-index'>dim2</span>: 65</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-13994072-ffaa-4dbb-b3fd-e0355920a74e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-13994072-ffaa-4dbb-b3fd-e0355920a74e' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time_eq</span></div><div class='xr-var-dims'>(time_eq)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.1</div><input id='attrs-7bac9644-57c3-4913-b93c-cb7794b96ea4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7bac9644-57c3-4913-b93c-cb7794b96ea4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a1f18267-57e5-4c06-b9d5-1b4b078b464c' class='xr-var-data-in' type='checkbox'><label for='data-a1f18267-57e5-4c06-b9d5-1b4b078b464c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.1])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>dim1</span></div><div class='xr-var-dims'>(dim1)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.65 1.687 1.725 ... 4.013 4.05</div><input id='attrs-f4eba6fb-9e8f-40e5-bb90-3e0faab3277f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f4eba6fb-9e8f-40e5-bb90-3e0faab3277f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-64b199b9-fa3f-4cdd-90f9-ef4db66c524a' class='xr-var-data-in' type='checkbox'><label for='data-64b199b9-fa3f-4cdd-90f9-ef4db66c524a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([1.65  , 1.6875, 1.725 , 1.7625, 1.8   , 1.8375, 1.875 , 1.9125, 1.95  ,\n",
        "       1.9875, 2.025 , 2.0625, 2.1   , 2.1375, 2.175 , 2.2125, 2.25  , 2.2875,\n",
        "       2.325 , 2.3625, 2.4   , 2.4375, 2.475 , 2.5125, 2.55  , 2.5875, 2.625 ,\n",
        "       2.6625, 2.7   , 2.7375, 2.775 , 2.8125, 2.85  , 2.8875, 2.925 , 2.9625,\n",
        "       3.    , 3.0375, 3.075 , 3.1125, 3.15  , 3.1875, 3.225 , 3.2625, 3.3   ,\n",
        "       3.3375, 3.375 , 3.4125, 3.45  , 3.4875, 3.525 , 3.5625, 3.6   , 3.6375,\n",
        "       3.675 , 3.7125, 3.75  , 3.7875, 3.825 , 3.8625, 3.9   , 3.9375, 3.975 ,\n",
-       "       4.0125, 4.05  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>dim2</span></div><div class='xr-var-dims'>(dim2)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-1.9 -1.837 -1.773 ... 2.087 2.15</div><input id='attrs-22120ff6-bf50-421e-936d-14bc5bd1b0ad' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-22120ff6-bf50-421e-936d-14bc5bd1b0ad' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-28a39bfc-4cc8-48dc-a3a9-0477dafb9c40' class='xr-var-data-in' type='checkbox'><label for='data-28a39bfc-4cc8-48dc-a3a9-0477dafb9c40' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-1.900000e+00, -1.836719e+00, -1.773437e+00, -1.710156e+00,\n",
+       "       4.0125, 4.05  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>dim2</span></div><div class='xr-var-dims'>(dim2)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-1.9 -1.837 -1.773 ... 2.087 2.15</div><input id='attrs-85fc7c7c-5c3f-415f-bad0-3d21bd070dd7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-85fc7c7c-5c3f-415f-bad0-3d21bd070dd7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7874eff1-965b-4a91-a7de-c32ecdb2f549' class='xr-var-data-in' type='checkbox'><label for='data-7874eff1-965b-4a91-a7de-c32ecdb2f549' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-1.900000e+00, -1.836719e+00, -1.773437e+00, -1.710156e+00,\n",
        "       -1.646875e+00, -1.583594e+00, -1.520312e+00, -1.457031e+00,\n",
        "       -1.393750e+00, -1.330469e+00, -1.267187e+00, -1.203906e+00,\n",
        "       -1.140625e+00, -1.077344e+00, -1.014062e+00, -9.507812e-01,\n",
@@ -1158,19 +1141,19 @@
        "        1.390625e+00,  1.453906e+00,  1.517188e+00,  1.580469e+00,\n",
        "        1.643750e+00,  1.707031e+00,  1.770313e+00,  1.833594e+00,\n",
        "        1.896875e+00,  1.960156e+00,  2.023438e+00,  2.086719e+00,\n",
-       "        2.150000e+00])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>run</span></div><div class='xr-var-dims'>(run)</div><div class='xr-var-dtype'>&lt;U5</div><div class='xr-var-preview xr-preview'>&#x27;run_0&#x27; &#x27;run_1&#x27; &#x27;run_2&#x27;</div><input id='attrs-ba3b91c7-db17-4a89-8e39-5ca57a59ad58' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ba3b91c7-db17-4a89-8e39-5ca57a59ad58' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8f9da595-ad1c-47a6-a4f9-d104dda8f396' class='xr-var-data-in' type='checkbox'><label for='data-8f9da595-ad1c-47a6-a4f9-d104dda8f396' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;run_0&#x27;, &#x27;run_1&#x27;, &#x27;run_2&#x27;], dtype=&#x27;&lt;U5&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8b8794b3-e7a6-4e8e-8f22-c48d2ff24229' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8b8794b3-e7a6-4e8e-8f22-c48d2ff24229' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>psi</span></div><div class='xr-var-dims'>(run, time, dim1, dim2)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-6.834 -6.724 ... -9.717 -9.929</div><input id='attrs-c23612eb-053e-4169-a477-8ed7c33eb6ff' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c23612eb-053e-4169-a477-8ed7c33eb6ff' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-00af7923-62dd-4470-adf9-81eb7af64f55' class='xr-var-data-in' type='checkbox'><label for='data-00af7923-62dd-4470-adf9-81eb7af64f55' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[[ -6.83369038,  -6.72372362,  -6.61371813, ..., -13.77337336,\n",
-       "          -14.10428912, -14.43819734],\n",
-       "         [ -6.87407707,  -6.76058518,  -6.64564568, ..., -13.71585005,\n",
-       "          -14.05390339, -14.39608043],\n",
-       "         [ -6.91162166,  -6.79418693,  -6.67437479, ..., -13.65565809,\n",
-       "          -14.00081852, -14.35124295],\n",
+       "        2.150000e+00])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>run</span></div><div class='xr-var-dims'>(run)</div><div class='xr-var-dtype'>&lt;U5</div><div class='xr-var-preview xr-preview'>&#x27;run_0&#x27; &#x27;run_1&#x27; &#x27;run_2&#x27;</div><input id='attrs-b7017ef8-9b0b-4804-a6c1-bd97e9036848' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b7017ef8-9b0b-4804-a6c1-bd97e9036848' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-33fe727c-375d-4e40-ada5-23ffa510cb0e' class='xr-var-data-in' type='checkbox'><label for='data-33fe727c-375d-4e40-ada5-23ffa510cb0e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;run_0&#x27;, &#x27;run_1&#x27;, &#x27;run_2&#x27;], dtype=&#x27;&lt;U5&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-cbfe558d-cd9f-4c2c-91fc-62738c3c8683' class='xr-section-summary-in' type='checkbox'  checked><label for='section-cbfe558d-cd9f-4c2c-91fc-62738c3c8683' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>psi</span></div><div class='xr-var-dims'>(run, time_eq, dim1, dim2)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-6.212 -6.112 ... -10.8 -11.03</div><input id='attrs-59c1a323-0f44-4105-bfb9-cebfa5cc9b83' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-59c1a323-0f44-4105-bfb9-cebfa5cc9b83' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e0b2a5ca-709f-4e4e-bbe8-d8860e3df9c0' class='xr-var-data-in' type='checkbox'><label for='data-e0b2a5ca-709f-4e4e-bbe8-d8860e3df9c0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[[ -6.2124458 ,  -6.11247602,  -6.01247103, ..., -12.52124851,\n",
+       "          -12.82208102, -13.12563394],\n",
+       "         [ -6.24916097,  -6.14598653,  -6.04149607, ..., -12.4689546 ,\n",
+       "          -12.77627581, -13.08734584],\n",
+       "         [ -6.28329242,  -6.17653357,  -6.06761344, ..., -12.41423462,\n",
+       "          -12.72801684, -13.0465845 ],\n",
        "         ...,\n",
-       "         [ -6.74793932,  -6.67382647,  -6.60432467, ..., -11.23882155,\n",
-       "          -11.51753896, -11.79853945],\n",
-       "         [ -6.66356873,  -6.60762445,  -6.55683707, ..., -11.42742321,\n",
-       "          -11.6956596 , -11.96541447],\n",
-       "         [ -6.5529556 ,  -6.5238788 ,  -6.49902416, ..., -11.61818848,\n",
-       "          -11.87665652, -12.13574992]]],\n",
+       "         [ -6.13449029,  -6.06711498,  -6.00393152, ..., -10.2171105 ,\n",
+       "          -10.47048997, -10.72594496],\n",
+       "         [ -6.05778975,  -6.00693132,  -5.96076097, ..., -10.38856655,\n",
+       "          -10.63241782, -10.87764951],\n",
+       "         [ -5.95723237,  -5.93079891,  -5.90820378, ..., -10.56198952,\n",
+       "          -10.79696048, -11.03249993]]],\n",
        "\n",
        "\n",
        "       [[[ -6.2124458 ,  -6.11247602,  -6.01247103, ..., -12.52124851,\n",
@@ -1186,19 +1169,19 @@
        "          -10.79696048, -11.03249993]]],\n",
        "\n",
        "\n",
-       "       [[[ -5.59120122,  -5.50122841,  -5.41122393, ..., -11.26912366,\n",
-       "          -11.53987292, -11.81307055],\n",
-       "         [ -5.62424487,  -5.53138788,  -5.43734647, ..., -11.22205914,\n",
-       "          -11.49864823, -11.77861126],\n",
-       "         [ -5.65496317,  -5.55888021,  -5.4608521 , ..., -11.17281116,\n",
-       "          -11.45521515, -11.74192605],\n",
+       "       [[[ -6.2124458 ,  -6.11247602,  -6.01247103, ..., -12.52124851,\n",
+       "          -12.82208102, -13.12563394],\n",
+       "         [ -6.24916097,  -6.14598653,  -6.04149607, ..., -12.4689546 ,\n",
+       "          -12.77627581, -13.08734584],\n",
+       "         [ -6.28329242,  -6.17653357,  -6.06761344, ..., -12.41423462,\n",
+       "          -12.72801684, -13.0465845 ],\n",
        "         ...,\n",
-       "         [ -5.52104126,  -5.46040348,  -5.40353837, ...,  -9.19539945,\n",
-       "           -9.42344097,  -9.65335046],\n",
-       "         [ -5.45201078,  -5.40623819,  -5.36468487, ...,  -9.3497099 ,\n",
-       "           -9.56917604,  -9.78988456],\n",
-       "         [ -5.36150913,  -5.33771902,  -5.3173834 , ...,  -9.50579057,\n",
-       "           -9.71726443,  -9.92924994]]]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-61671f37-577c-4ba4-a1d3-a2e9e5bd4982' class='xr-section-summary-in' type='checkbox'  ><label for='section-61671f37-577c-4ba4-a1d3-a2e9e5bd4982' class='xr-section-summary' >Indexes: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-646e1750-5730-4d14-8440-bd8115419ef0' class='xr-index-data-in' type='checkbox'/><label for='index-646e1750-5730-4d14-8440-bd8115419ef0' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0.1], dtype=&#x27;float64&#x27;, name=&#x27;time&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>dim1</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-4b4f5ed0-c59b-4007-8e78-d279abf01810' class='xr-index-data-in' type='checkbox'/><label for='index-4b4f5ed0-c59b-4007-8e78-d279abf01810' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 1.649999976158142, 1.6874999795109034, 1.7249999828636646,\n",
+       "         [ -6.13449029,  -6.06711498,  -6.00393152, ..., -10.2171105 ,\n",
+       "          -10.47048997, -10.72594496],\n",
+       "         [ -6.05778975,  -6.00693132,  -5.96076097, ..., -10.38856655,\n",
+       "          -10.63241782, -10.87764951],\n",
+       "         [ -5.95723237,  -5.93079891,  -5.90820378, ..., -10.56198952,\n",
+       "          -10.79696048, -11.03249993]]]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4a4ce80a-757b-4b93-9bdc-6698accd8e81' class='xr-section-summary-in' type='checkbox'  ><label for='section-4a4ce80a-757b-4b93-9bdc-6698accd8e81' class='xr-section-summary' >Indexes: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time_eq</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-014a6333-27b9-481c-8953-c52c32900264' class='xr-index-data-in' type='checkbox'/><label for='index-014a6333-27b9-481c-8953-c52c32900264' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0.1], dtype=&#x27;float64&#x27;, name=&#x27;time_eq&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>dim1</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-f71aa22f-d284-4585-aecd-7fe29d5606ec' class='xr-index-data-in' type='checkbox'/><label for='index-f71aa22f-d284-4585-aecd-7fe29d5606ec' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 1.649999976158142, 1.6874999795109034, 1.7249999828636646,\n",
        "        1.762499986216426, 1.7999999895691872, 1.8374999929219484,\n",
        "       1.8749999962747097,  1.912499999627471, 1.9500000029802322,\n",
        "       1.9875000063329935, 2.0250000096857548,  2.062500013038516,\n",
@@ -1220,7 +1203,7 @@
        "       3.7875001672655344, 3.8250001706182957,  3.862500173971057,\n",
        "        3.900000177323818, 3.9375001806765795, 3.9750001840293407,\n",
        "        4.012500187382102,  4.050000190734863],\n",
-       "      dtype=&#x27;float64&#x27;, name=&#x27;dim1&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>dim2</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-457d7fd7-2c7f-4442-852d-4f633191f2b5' class='xr-index-data-in' type='checkbox'/><label for='index-457d7fd7-2c7f-4442-852d-4f633191f2b5' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([    -1.899999976158142,     -1.836718725040555,     -1.773437473922968,\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;dim1&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>dim2</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-4af7b651-dcba-4e7f-830f-d73dd120221e' class='xr-index-data-in' type='checkbox'/><label for='index-4af7b651-dcba-4e7f-830f-d73dd120221e' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([    -1.899999976158142,     -1.836718725040555,     -1.773437473922968,\n",
        "          -1.7101562228053808,    -1.6468749716877937,    -1.5835937205702066,\n",
        "          -1.5203124694526196,    -1.4570312183350325,    -1.3937499672174454,\n",
        "          -1.3304687160998583,    -1.2671874649822712,     -1.203906213864684,\n",
@@ -1242,18 +1225,18 @@
        "            1.707031337544322,      1.770312588661909,     1.8335938397794962,\n",
        "           1.8968750908970833,     1.9601563420146704,     2.0234375931322575,\n",
        "           2.0867188442498446,     2.1500000953674316],\n",
-       "      dtype=&#x27;float64&#x27;, name=&#x27;dim2&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>run</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-6781949f-f0f2-4b3d-9b08-e4b0856fa134' class='xr-index-data-in' type='checkbox'/><label for='index-6781949f-f0f2-4b3d-9b08-e4b0856fa134' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;run_0&#x27;, &#x27;run_1&#x27;, &#x27;run_2&#x27;], dtype=&#x27;object&#x27;, name=&#x27;run&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-da0886a1-9983-4341-8317-33705359cbb6' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-da0886a1-9983-4341-8317-33705359cbb6' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+       "      dtype=&#x27;float64&#x27;, name=&#x27;dim2&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>run</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-e45f6238-3116-4440-8f40-dae8e211b4a1' class='xr-index-data-in' type='checkbox'/><label for='index-e45f6238-3116-4440-8f40-dae8e211b4a1' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;run_0&#x27;, &#x27;run_1&#x27;, &#x27;run_2&#x27;], dtype=&#x27;object&#x27;, name=&#x27;run&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ef16f95c-364b-408b-b21f-c8b09a737ad9' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ef16f95c-364b-408b-b21f-c8b09a737ad9' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.Dataset>\n",
-       "Dimensions:  (run: 3, time: 1, dim1: 65, dim2: 65)\n",
+       "Dimensions:  (run: 3, time_eq: 1, dim1: 65, dim2: 65)\n",
        "Coordinates:\n",
-       "  * time     (time) float64 0.1\n",
+       "  * time_eq  (time_eq) float64 0.1\n",
        "  * dim1     (dim1) float64 1.65 1.687 1.725 1.762 ... 3.938 3.975 4.013 4.05\n",
        "  * dim2     (dim2) float64 -1.9 -1.837 -1.773 -1.71 ... 1.96 2.023 2.087 2.15\n",
        "  * run      (run) <U5 'run_0' 'run_1' 'run_2'\n",
        "Data variables:\n",
-       "    psi      (run, time, dim1, dim2) float64 -6.834 -6.724 ... -9.717 -9.929"
+       "    psi      (run, time_eq, dim1, dim2) float64 -6.212 -6.112 ... -10.8 -11.03"
       ]
      },
      "execution_count": 10,
@@ -1286,7 +1269,7 @@
     {
      "data": {
       "text/plain": [
-       "<xarray.plot.facetgrid.FacetGrid at 0x7ff7ebde9070>"
+       "<xarray.plot.facetgrid.FacetGrid at 0x7f1317a1fcb0>"
       ]
      },
      "execution_count": 11,
@@ -1295,7 +1278,7 @@
     },
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA4kAAAEiCAYAAABUapdRAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8g+/7EAAAACXBIWXMAAA9hAAAPYQGoP6dpAACDAklEQVR4nO2de7QcVbXuv+rej4QkOxLJAyRAlNyAQHgECEE9RE8kYkTjA6+IhoePIzdBQhQ1irw54f1QEOQcMXHcG+JjCHq9iHJyEvBIQEnMGfhCwIREJYFzhAQC2bu7q+4fm917rrm6ZlfVrt69d+f7jZGRrr1WVa2qrlnVq/ub3wyiKIpACCGEEEIIIYQAKDR7AIQQQgghhBBChg6cJBJCCCGEEEIIqcJJIiGEEEIIIYSQKpwkEkIIIYQQQgipwkkiIYQQQgghhJAqnCQSQgghhBBCCKnCSSIhhBBCCCGEkCqcJBJCCCGEEEIIqcJJIiGEEEIIIYSQKpwkEkIIIYQQQgipwkkiITkQRREuvvhi7Lvvvhg5ciTmzJmDJ598stnDIoRk5Ic//CFOPvlkvP71r0cQBNi4cWOzh0QIyUipVMIXv/hFHHHEERg1ahT2228/LFiwAH/729+aPTRChiycJJJU9PT0NHsIqSiVSoOyn2uvvRZf+9rXcMcdd+DRRx/FqFGjMHfuXOzevXtQ9k9IVhjTtdm1axfe+ta34pprrhmU/RGSF4xpn1deeQUbNmzAV7/6VWzYsAE//OEP8cQTT+C9731vw/dNyHCFk0RiMnv2bCxatAiLFy/GPvvsg7lz52Lz5s3eN+svvvgigiDA2rVrAQBr165FEARYvXo1jj32WOy111448cQT8cQTTzRsrH3j+u53v4uTTjoJI0aMwP/5P/8Hl156KY466iin780334yDDjqounzWWWdh/vz5uP7667Hvvvvi9a9/PRYuXJjo4RVFEW6++WZcdNFFeN/73ofp06fjO9/5Dv72t7/h3nvvzfcgCRkgjOlkH0g//vGP4+KLL8acOXNyPCJC8ocxXT+mx44diwceeAAf/vCHMW3aNJxwwgm49dZbsX79emzZsiXnoySkNeAkkdRlxYoV6OjowC9/+Uvccccdqdb9yle+ghtuuAGPPfYY2tracM4555j9DzvsMIwePTr23ymnnFJ3n1/60pdw/vnn4w9/+APmzp2beKxr1qzB008/jTVr1mDFihVYvnw5li9fXne9TZs2Ydu2bc6HybFjx2LmzJlYt25d4v0TMlgwpglpLRjT6dmxYweCIMDrXve6TOsT0uq0NXsAZOgzdepUXHvttdXlzZs3J173qquuwkknnQSg96Ewb9487N69GyNGjKjZ/7777jO/FRw5cmTdfS5evBgf+MAHEo+xj7333hu33norisUiDjnkEMybNw+rV6/Gpz71KXO9bdu2AQAmTpzo/H3ixInVNkKGEoxpO6YJGW4wptPF9O7du/HFL34Rp59+Orq6ulKPg5A9AU4SSV1mzJiRed3p06dXX++7774AgOeeew4HHHBAzf4HHnhg5n31ceyxx2Za77DDDkOxWKwu77vvvnj88ccHPB5ChhqMaUJaC8Z0ckqlEj784Q8jiiLcfvvtmcZByJ4A5aakLqNGjXKWC4XeyyaKourf4r5VbG9vr74OggAAEIZh7L7ykLHUGq8ca9x45Vj7xmuNtY9JkyYBALZv3+78ffv27dU2QoYSjGlCWgvGdDL6JojPPPMMHnjgAf6KSIgBf0kkqRk/fjwA4Nlnn8XRRx8NALnZw+chY9GMHz8e27ZtQxRF1Qdgnnb2U6ZMwaRJk7B69epq4v3OnTvx6KOP4txzz81tP4Q0CsY0Ia0FY9qnb4L45JNPYs2aNXj961+f6/YJaTU4SSSpGTlyJE444QRcffXVmDJlCp577jlcdNFFuWw7DxmLZvbs2Xj++edx7bXX4kMf+hDuv/9+/PSnP83tG8QgCLB48WJceeWVmDp1KqZMmYKvfvWr2G+//TB//vxc9kFII2FM+/z973/Hli1bqnXU+hwfJ02aRIUAGfIwpl1KpRI+9KEPYcOGDfjJT36CSqVS9QwYN24cOjo6ctkPIa0E5aYkE3fddRfK5TJmzJhRnSANVQ499FB84xvfwG233YYjjzwSv/rVr/D5z38+13184QtfwHnnnYdPf/rTOO644/Dyyy/j/vvvj038J2SowZh2+fGPf4yjjz4a8+bNAwB85CMfwdFHH53aOZKQZsGY7uevf/0rfvzjH+Mvf/kLjjrqKOy7777Vfw8//HBu+yGklQgiLQInhBBCCCGEELLHwl8SCSGEEEIIIYRU4SSRkDr84he/MJ3cCCHDC8Y0Ia0FY5qQ/KHclJA6vPrqq/jrX/8a237wwQcP4mgIIQOFMU1Ia8GYJiR/OEkkhBBCCCGEEFKFclNCCCGEEEIIIVU4SSSEEEIIIYQQUqWt2QMYbMIwxN/+9jeMGTMGQRA0eziEEABRFOGll17Cfvvth0Ih/XdXjGtChhaMaUJai4HGdLPYvXs3enp6EvXt6OhgfWvBHjdJ/Nvf/obJkyc3exiEkBps3boV+++/f+r1GNeEDE0Y04S0Flljuhns3r0brx85Gq+gkqj/pEmTsGnTJk4UX2OPmySOGTMGAHDed/4dnXv12iIXM35LWSgkW6+YsF+9vkXji5u89tFsKmG8j5LdFt/PWi8UbRXl4dRT7t9o2dhmqNp6xGD0vnsq7o1Krttdjt9/SbwGgLLcR8Vtq4i+YSUy2tz1Qmeber3+5XJJHYO1HTXuSs/u/n7l/m/2wtKr2H7vF6rxmZa+9b76g19gxKh0dudZ4yFx/Bv3l4LRVkw9IrHdJsa4jgdJvcd0aPioyfg092HEqrpUVZu7XsmI44oTt+r6F209OjaN+4EX42KxR7XJvmW9DyP+5P3Ab4u/N1Sc9dxjCMu170Vhzyv487c/OeCYvubH6zCyTkzndb2n+SxgxW7S4Qxk3Nb+s2LFn7me9Yw1Npk03vU+9H1EbsdcL+O9Qcem3IeOzXLG9fL6bOAck/lsVudCtEXeNnuXK92v4PGbP545pptBT08PXkEFC/AGdNTJsOtBiO9s+yt6eno4SXyNITNJvPrqq7F06VKcf/75uPnmm2P7ff/738dXv/pVbN68GVOnTsU111yDd7/73Yn30ydb6dxrdP8kMeONOul6+U0Ss7UNpO9gk32SmOxBkGa9QNwoi+bDRW3f+HCJckV1FR981Y1Z3qj1TVt+ggzUgyAwJolBzAc63eY9MYv924kK7jEEemzyYVNQxwRx7QX+NCirrKxvvRGjRmPEqHQPsIbHf9ZJ4gDCdMhOEut8Bk36oTHNfSLpvUG3FcrxcewsGx/SdByZ9wO1nUD01fHvLOv1xD51bMr7gW6rGOs5x1FU95Sicd/AwGN65KjRGDnajumhNklMGrt7wiTRivnMk0S1mjVJzBr/crlgxLiOlaLR5ozNe6bn89kgMPYfOjGu4lh+wWPFP7LHdDMZGRTREdiTxGIUAKz34DAkJom//vWv8c1vfhPTp083+z388MM4/fTTsWzZMrznPe/BypUrMX/+fGzYsAGHH354qn1Wwsj8oNFHIz5ADnbbQPo66+VwY9A3cG8fxtiyTvasbVjrybHob/1kX/0ro9OvYB9vkmuwFu7Y3HMmb+Bhwf/Qlg3xUAqT5yJE6viito7+1+Kb06DGhDELcXGd9LrKHH+D8OEyzQfKPGI1K0XjIAp14j80LtdC1L/dYpA85rJ+SIzrV6/vQO4HEv3FVD7IE5wtpyhSb1IkrstAvEdBThO3CnonBVZs6ElKXrGSdCKWV9xmnfgN5AsldzvGfdK4HAtiAHriZ11l8lLS29fnIhQxr+8jcjvyPgG494o09wb5zO9oc4/Cin8rbtM877N+NpDjjtS1F8l7qPfpP8H9YBjlIWraCwE66sRXFAX15S57GE1/x19++WWcccYZ+Jd/+RfsvffeZt9bbrkF73rXu3DhhRfi0EMPxRVXXIFjjjkGt9566yCNlhBCCCGEEDJcKAbJ/hGXpk8SFy5ciHnz5mHOnDl1+65bt87rN3fuXKxbty52ne7ubuzcudP5RwgZ3jCuCWktGNOEkEZRDIJE/4hLUyeJq1atwoYNG7Bs2bJE/bdt24aJEyc6f5s4cSK2bdsWu86yZcswduzY6j+6pREy/GFcE9JaMKYJIY2CvyRmo2k5iVu3bsX555+PBx54oKEuQkuXLsWSJUuqyzt37vQePklzkhpBvf01JH8xhxyMrAxk+2nykJy2HBLX9fmUbTpfsU301c6H+txr90Onr9hOm9q/3q6zzdiW7AEvc36KbfZ3SzIPsaAsecOwP/ew0N6fn4ionGo8cXFdCXvfG+v9GuwY19f8YOQdNju3SSJzjeqNKzRi3M1DUvlK8prLKScpaU6yvp5k3zRxq8mak5QcPZb+WPVyicVxFLyLpPZ6UcprsN6zWuesNfsDXdY4ziPPMes2B4J1a5J5iGnyGuW1lCZfWcd4I/IVJVnN8DQy/us6bUrjPHXyO+s8g5NQUfEfFOLvodX4H8Kmh/VoCwK014mTCobv8TWKpk0S169fj+eeew7HHHNM9W+VSgUPPfQQbr31VnR3d6NYdM0sJk2ahO3btzt/2759OyZNmhS7n87OTnR2duY7eEJIU2FcE9JaMKYJIY0iiZy0yEmiR9Pkpv/4j/+Ixx9/HBs3bqz+O/bYY3HGGWdg48aN3gQRAGbNmoXVq1c7f3vggQcwa9aswRo2IYQQQgghZJhAuWk2mvZL4pgxY7yyFaNGjcLrX//66t8XLFiAN7zhDdWcxfPPPx8nnXQSbrjhBsybNw+rVq3CY489hjvvvDP1/qVVfh72+BaNqpOYVFKaRoqSlxSuMQibbSXpaBdtvixJ/EF992DVXktqj51G2ujJT0W7L1sb+PnOTXoqlKHlHu0R7X7XpKVqTps435GQngaFfEpg9GFJB9OQh2w7a0zV+9ZzMEppZNl3Ggt8b92EJTC89Rpsj29JSrNKz/R200jRG4EsbVEw5GyeFFWcb7leVMnnO+gwihBGkXfNyft8mg93jahbmlVeam6z3q8eGeO4mfUVC0Y81FNXV+RnmhQxnvne0C7k5vXqnSZsy9KvFj2ipqKWtMOIXae+Y+iuJ6/hSN16+srZ5FXWphn0TgLr/ZJINE13N7XYsmULnn322eryiSeeiJUrV+LOO+/EkUceiR/84Ae49957U9dIJIQQQgghhLQ+/CUxG037JbEWa9euNZcB4LTTTsNpp502OAMihBBCCCGEDFvaCwE66hnXGGqVPZUhNUkcCmSVqWWVlKaSkOq+TZS7DYZ7opaNugNwF6Xcpd3bTn+bKVM1tqnlJvK9SCNFNaWp5fj319+O3EdFtcWfZEt+6kqBDLlZm5abufuXkjMtQyoKt9Oorf/2E4T53Ir6ZOTDxcE0TYw12k2x3j4s3H0kl6LW2FD1pY5/eYX424mXosu41utZ9wa5XilMHv+WK6olWx1s9PEW2+TY4iXkthS1/3iinGPQkzEPgqNn0phrhKS03j0s6z6Tkub8JlVOtuvnn7Ge936LnXj7M+4boRHjpYRSVB0PaZxQJda9ITekFF6d7w4Ru9ZnAe18HL02eWp+ylF2aFyTDU4SCSGEEEIIIS1JEjkpcxJ9OEkkhBBCCCGEtCScJGZjj50klsMIxRqygLxkalklpeZ21E/lWSWlSZ1PB0PeZpHm4rRkbFJiYhnuWVI0LZMpyW1qSWVCKRpgS1Ola5knRTWuLyC+ML3s+2psL6CMeAdTz93QiyMhOQvjZWvSKW04uKZZ8WeRV/yliblGSdySbGMgWLJxiY4rJ3YNSZuOceve4BQIV+GQVIqaRl6aNf6zYsniwlBJ2BO6nQaiWzCkbfH6yfocTRq7aeKtGbLV+G2m6S3k3ilMO2WM+zGt+iaUlGoHVblY0fdwIRs1pahKXloSA5AuqIDtSjwQR9O80WOR8vBI5eYVXrv4CsPY2aUjCNBR56KuhMP3+BrFHjtJJIQQQgghhLQ2hQQ5iYOR5zzc4CSREEIIIYQQ0pIkkptyjujBSWKTqSdFtaRpjqQl43qarI5tSb+BGQzXSU/SIYTmvqQ0vs2SorWLviUlL2kv9He2pGiAchsznBC966Jsncf+sNbOpxZJ5afa3VC7wkkidYeR0jRHplpsnjYtj2vSkobmJRM347/JkjZrf2lIKscKLXdBQ4rmSdrEdkwJmzr2pFLUuvf3PNwOO7Kt5rkyi9eRF9P9YwuVJEtKxaV7cV6fuCpRhEoU1f0VwCLrunk8D614yBrT9bdrrNcA1/KshEZKh07jcNdzl+W1rO8N1jNeriflpYArMS2pm0MxiH/+F4L+DxzNdjO20l06DAm5lt72xUHLu5vyl0QPThIJIYQQQgghLUlHoX5OYpklMDw4SSSEEEIIIYS0JIUgqPtLOXMSfThJJIQQQgghhLQkQTGo66IecJLowUliCqx8ktzaUuQvZc17svIsrJyIYsb8jLhxNQxV7MYqj5E0X0G3yRIYVnmMdmUlLfMVe/vGl8DIWkYlD129zk+UOUqRSquwSmJoG/y4shdD5eY82DnBWW31dV8r7zBN/rAb47HdUl1jqWLeyB+WDHa+UkHlK2XNV9TnLetzwiRhjqKV/2nFdLEYX9YmrsTNUCJNjr5F1mdl0uejH9PWWFLcRwrJ+tXbRx7YcWzEv3oGubnFRgkMo8xFUd8bMsa/60OgHoCD/Im7EsZX/rPyFXXJm77n/1CN6SQUikHdnEr+kujDSSIhhBBCCCGkNSkWEBTqGOQF8V9M7KlwkkgIIYQQQghpSYrtBU8F4fXRFteEk0RNGllfHtusJxOR0pR2dYEPtqQ0+XqIZTCKmTZEpmbITbVso00sl5Uupqi+qZJy1KxSNE2bJUVNeD3rY3IkZW2qLUomP+tdt3a/ZpbAaDSNiE3dnk6KKvcXfz34+4/tmrw8xgDiOw9pml8CR8a4u560tm+32grx9wZ9XgqhtsvPFuNmP1nLwpCeWnJTr1SIvBeGroZWStOcmK73rf0QxJJ/N0LunTU2/e0YbRlLXqS5JSeNfx1/7YabpJaUOtvxZOPxz2on/gv6+Rtf5kL2LWqZqtiod58U4aGf926bHe9ZP3vK2LXKXOgYl8t635XXxjpU0kKyEBTq/5IYGM+RPRVOEgkhhBBCCCEtSaEYoFAnAbnAEhgew++rPkIIIYQQQghJQFAMEv1Lw0MPPYRTTz0V++23H4IgwL333uu0R1GEiy++GPvuuy9GjhyJOXPm4Mknn8zxqBoPf0nMiazuk/Wcz6TENI1LYrslaRNt2pkzqxTGkr7E9atFIxzUJGkka5ZMzZKbyraSOodtqq+Uo+pjl+9Nhzqprxb6dSv6fXq1R1kqCorlxn9TJqVpBXXeCrJNytQqQ/P7qjzchRshYQPc6yOvWM0qU0sqTcvLPS6N86HlmFox5Gby/Or7hozrkorpgiNFi5ebAa4crZ4TqtOWVIrW4y5WHKm4fvyX+/sZUrRInYtISGgd98Mh6oQ4lFMzzM8GKWI1aYxrrPDM+iuL3GYUJd9Guxp3CHkNxm/Heo6XlNzbcSIO4u8NBXVvkOfQ+2wg33t9b5Ano6yf0/k8A8sJZeRailo2PtP0ScqjYZwWUuwooFiMd3sF0uck7tq1C0ceeSTOOeccfOADH/Dar732Wnzta1/DihUrMGXKFHz1q1/F3Llz8fvf/x4jRoxIta9mwUkiIYQQQgghpCUJggR1EsN0X4SccsopOOWUU2q2RVGEm2++GRdddBHe9773AQC+853vYOLEibj33nvxkY98JNW+msXw/VqAEEIIIYQQQgwKxUKifwCwc+dO5193d3fq/W3atAnbtm3DnDlzqn8bO3YsZs6ciXXr1uV2XI2GvyQiu4ucKSk1pWDJJGz1+raJn/6zylR9x1TZT8nbioYUxpDJOP1ykr5kxTKvSic3DWv2022hknSUVOfdQv6ppahS7ra7YrkixstLNdY1WzHkJlZbqKUpRcvdVLjQCWlH1ERpmuU2bK6XUDaepq3diOnssvH47WSVqenTZEnRGqMgdzcqwzONTE3GtbeelKIqmZrsq9ssKaqWnxcMl0TthCrJ6lJs9+0/KC1Zc+SmRkxLp+PIcFbMAyvdIk1x+cT7a4CDabtyW7QK3TciVk15qdGW5nRa9wYZm/WwJabx/YrCpbQ9cuWGUmLuuxRLB2PEtmmZupNq4Gnf5bI7FiveNWmciZ22KP453tlW//nfzOf0QEmScxi8du1MnjzZ+fsll1yCSy+9NNX+tm3bBgCYOHGi8/eJEydW24YDnCQSQgghhBBCWpJiRxHFtjo5ia99UbB161Z0dXVV/97Z2dnQsQ1lKDclhBBCCCGEtCZJnE1f+6Wxq6vL+Zdlkjhp0iQAwPbt252/b9++vdo2HOAviXXIKil1+qVyJS3E9m0rxrdp2ajlbiplo3lJSuV6A5Gi5SVxicOWmyoJmzilWhbTKRq9IryyzZCiAe77trsc31dfJ92BdEV1mszr0nI+TSpNs6SogOt+qJ0QK1JeJwYepbSeHghpihRbsRrXT/e1pGg6bm0panw86jZLUmrFuFzUceu0qWPK6oqYlxTVjGujn4z5yJCptitDA9cx0W0rFeJlqt1GrO4O3L7a7VSSh3zSi2PxLXsaubmM6cCROeYb03k542Z1G87qYJpGCi6f/2ncTdNISuVwGiFF1dQR+FVfpfGV1I8qGdf6WS3lp3o9eW/UDsbtYj39jC+KUNWuqEVZlN48h2owZdXB+nTeEd+UVIrqOh0DFXGvikutCoex3LQQBOYzvK9PXkyZMgWTJk3C6tWrcdRRRwHozXV89NFHce655+a2n0bDSSIhhBBCCCGkJQmKBQR1SngEYTpx5csvv4ynnnqqurxp0yZs3LgR48aNwwEHHIDFixfjyiuvxNSpU6slMPbbbz/Mnz8/yyE0BU4SCSGEEEIIIS1JsaOAonYg0n2CdJPExx57DG9/+9ury0uWLAEAnHnmmVi+fDm+8IUvYNeuXfj0pz+NF198EW9961tx//33D5saiQAniYQQQgghhJAWpRG/JM6ePdtLqXG2FwS4/PLLcfnll6fa7lCCk8QUJM1P1MuetblhuZ+1zIWV96DzlWTeQ5qcCCvv0M1XdNuS5jlpvO3Ed82MDG87zyG+rU0NVOY26Fymkmmz7faV5TEs+3VTR2/kLmiS5jLs1VEnJ1HmPRRVnpW44KR1PiqNzXVImjNslm8xLOitPCcrX8kuXaPaDLt83WbFf9J49HKgEuY5aWRTmpwPq6uVg6hx7PGtNp2vKF5X1GBk/mJ7FB/jOl9RX0OyRIY+NzJ/0cpJzopX5sKxx3ddAGWM95STxXTUlk9MF4MgVWkawM4fTLWecWFbZS4sT4A84haw49EppZEmtxjxWDmQ7rgag3XFO89q/RxHfJu85osqjiuhfA/j8xV1LnGhImM6fszFOh4AVk6yROcWmn2t3OIEOclBg8vaNJJC0fVBqNln4LfVloOTREIIIYQQQkhLEhQCBHWMa+q174lwkkgIIYQQQghpSQqFAgp15KaFyvD9pbRR7LGTxLZC4MkEgZT2+AklbF6JAkOKpmVFSctc6Da5GS1pkTIWS8LmSWgNSWnRkKI4ltvQbZYUDqot2Xujx5awsoOnLXet892NhlKa5UlYxGtPaqRkK0LSoqWolpzJsm1PWrZBY8pNHSmaq8kY2REvTauom25YkW21rfPzIE0cWxQs2Zgj24pvSyNFs+LWkoanKYGRVVJqHW/WuM1a8iad3LR/Q3aM6/X6X2s1tCVTc+79Sr6k3wtZ9sa/p9bulwarlMVeHfGFpf31+t/VDiU5c+NdxPQgfiufRo6aRopq3medODbWa0BKh96nFeOWpDRrHKcpgSNJ8xE8qbzUW0+XsjKe1UUZ4155jPg2R4raHi8377bK2OiNKnaL1+26a8JP7lb8W3LznrKKkVYogdFRRMG45wFAwbzq9kz22EkiIYQQQgghpLUJCgUEBftrinrteyJNPSO33347pk+fjq6uLnR1dWHWrFn46U9/Gtt/+fLlCILA+TecrGQJIYQQQgghg0ehWEj0j7g09ZfE/fffH1dffTWmTp2KKIqwYsUKvO9978NvfvMbHHbYYTXX6erqwhNPPFFdzlumpnGcCFO4myZ1PvSdR43tWO6KamiWFM1qKxoyGUtSmlR6p98v2wlVt8Ufb1ZcxUW8TEWLEKTcREvYKkLuUilouYeSpgjXNC1FtSRLrtRIt2U7OZbz2ciwvvNZHz1CjlYuK2ma0N85roiDeHO2ZeJ62ZBKGi6lSeM2q/OwXte7/6B5cey7MCZbT5M1xC0HUyvGtfpLytYqKsYjo03GdBBoyXB8jFvStKyEURpJqZSbqbgVzoedbe7d0JGwlQcvptNI6a2+lqzfioek0vA0DqZmbBrScN0mV/XvDaJfA+J4MASJllDTdzDtf11MEePyug6UhDWQMR7qNrnkxp8T7wNxKC73vwz1Zwzx/LVjXLkUi7F1tNVOISnk5FjcFBKUwPACiTR3knjqqac6y1dddRVuv/12PPLII7GTxCAIMGnSpMEYHiGEEEIIIWQYU2hrQ6HdnvIUkhpY7EEMmWlzpVLBqlWrsGvXLsyaNSu238svv4wDDzwQkydPxvve9z787ne/G8RREkIIIYQQQoYLQbGAoFis82/ITImGDE03rnn88ccxa9Ys7N69G6NHj8Y999yDN7/5zTX7Tps2DXfddRemT5+OHTt24Prrr8eJJ56I3/3ud9h///1rrtPd3Y3u7u7q8s6dO70+SSWl5nqWu2EKV0Tf7UxIQ7VLouFSKttGtGkpjDFu6W6ak5tjGrlpmr6SvKRpEssVUZp2VpRqxCnCraQoZVWUV57vktqOlBP57pX92jSryLtFqKUoHckkpVqKpqUpHUKO1qOdEMWJk06nUcoivXFxXSwENWM4aVFsS5aWRlIq49ZyRbTiz4rpNNtJ44poxZ9boBuqTcjkVFshRUw3QsxkFdO2inBLmZp2U3QcjA0H05KKdy1ptSSDlkOthYzrTh1/4kAsV2LPwTSKb+sWsrU22ZbyA1eSZ3VSLMfSpG6metly+87qYJrGeXgw4jhwrjm3LU0cO9uMb8pMKrmpiE9Liu45mIpj9KWosp+7nlRxanmmdjvOg9BLdxGv2+Kf4zqOpdupPt4+t9PKMHY3DRLITTlJ9Gn6GZk2bRo2btyIRx99FOeeey7OPPNM/P73v6/Zd9asWViwYAGOOuoonHTSSfjhD3+I8ePH45vf/Gbs9pctW4axY8dW/02ePLlRh0IIGSQY14S0FoxpQkijKBQKif4Rl6afkY6ODhx88MGYMWMGli1bhiOPPBK33HJLonXb29tx9NFH46mnnorts3TpUuzYsaP6b+vWrXkNnRDSJBjXhLQWjGlCSKModLQl+kdchtwZCcPQkZxYVCoVPP7443j3u98d26ezsxOdnZ2Zx2NJUd1iukp+kbDNkqLp9jQupa5LYnKZTNGQm7Rb58KQm1pOa5aETyusAimBiOJ1G4HRpokC43sScQ51P8cJVB2T0+a9v+5yWTgaasmQlKr5tbT7pWKWFE1LUULDzdGRqXTEy1Q8KaonxRFyUzVw6X4onU4LlgasBgOJ66yFt7UUNanEul296TKOUjkP5xTH+chU3W3aMrWEMQ3kEtdJY1r31de1XNKSUidWgvg2fbw6jl3HyHy+s9Ux77TJOFZSNCk/28uUorpt0u1Uxnvawtv1YjqNTNRq91IlEj6P9eFkdTBO6mBqSUi9sSG+LV2s1t4G4D7H9fHKxTQxnRkjViI1brmsn1WO3FTHuNiMJUXVRenl7rXc3HmnUnz69iSlYiehIQ0PI+1SbEjKDefTaswX7WL0Q5kgSFAnMad7cCvR1Eni0qVLccopp+CAAw7ASy+9hJUrV2Lt2rX42c9+BgBYsGAB3vCGN2DZsmUAgMsvvxwnnHACDj74YLz44ou47rrr8Mwzz+CTn/xkMw+DEEIIIYQQMgRhTmI2mjpJfO6557BgwQI8++yzGDt2LKZPn46f/exneOc73wkA2LJli6MRfuGFF/CpT30K27Ztw957740ZM2bg4YcfjjW6IYQQQgghhOy5cJKYjaZOEr/1rW+Z7WvXrnWWb7rpJtx000257DvOBTEvLLmX6YroOZhKl8R4lzSz0LbpoGhI2NS426xtJpTeeRKWsKKWhcxBtUnZiik9SyFvseQFUoqm+xUK/bKLtoIbRqF4LyxXNAAoGbIVeYpN97gGyNR0EW5TimK4nXa0ue+hdDstl+KlnAMllUtxQpdAS1Jmt8Foi1/Pkpf2ticbt95Oe0J5ndWmz67TZsW0jk1DmpZGNu7sTy078lMVK4HzXigpqojrYjFe0pVGbqojteSIWvXI4x0y48ai969lcp2Wm6OQmGvprXRJ7anoeC/UfB2kdCxOiyUbT3M/seLR2p8Zf/KS8+Setfvp7dRPRckmN7ckpZYUVsa1E9OAG9cZ5ab14t2UkTvPaj1wEUfqWe1IUY049mXi/Y36mtEu5S7y3KjjMT6N6xiXaCnqCHExaAfzHnG8Wm4qn+te22sfXBr5mbnRFIoFFOpMAuu174kMuZxEQgghhBBCCMmDQnsRhXZ7ylOoVMz2PRFOEgkhhBBCCCEtCeWm2eAkkRBCCCGEENKS0N00G5wkInmZCzMnwLLnTpGj5+co9b+2rLStNv3liJuT5K7XVki6ntvWZpwnJ5ehXHZX9PKXRLuXvyTzFd02J58hq+W2vkHIZX1zkbkNKs+hKPIVdQ5EUVlIB4HMbVC7l/lwMUOuRSTyCfx8pfgSGCVpj6/Wk3lII5U9vs5RlH07dW6DzG0SF1ijcwGscjV5bDNrmQkrl7iA+HuB3m5e5WrakuYk6riVca2uHTOmQ3U/cNqMGDfQuUvOYeg4dmJcPQ6DUvWljOnezch8RZW/K44/PsvwtXYnHy4+70gzQsSRX+YGRlv/cnvoji4ut9BrUznIxZhyS2lLYMRRCIIBx2zSnHl/3+449LgStSE+/tPl9ue1nfg2M+9QxryKRTPGJV78p/APsD7gG3nHboyr+5bMwVTxL30H9KUs8xftHEQLozwGAJn6O6ItPsbbvZJU8W0dCUvg6Gd633UynHMSg2IRhTolPIJhXOKjUXCSSAghhBBCCGlJCh1tKHQwJzEtnCQSQgghhBBCWpKgkEBuWqd9T4STxAHgSEoM2aglRfFKUHh29fE26EnLXPhSlP7lNm//ct/JpWhtYjmolNxGsRxoeZlaDipiOU0JjAbITaU+3bPflvIzLVMr9i9rCUtQbFeb6ehfTb1Pcin7rcuVT7hlLtyeJaFv0dbZJVHWoqfNPb9aftrtWGm7bR1i3aKQt0RNTBgvGFLUgnHNO/0Mmbhf5kbK89ztJLXH1+MxZfIppOEy5gtKDuXEtSUT1zEuYtqLWyPGNUnlpvptMq3zZRzrfsV4SbmUrXlSVBHTQTH+unhtdOJ1cilXFAlJt1JIyTI7upSFXC4pvXl7oX/Zkpvqa0a2SXl5oS358QwUq8xUqu1kLTORok3KT63yONYz3duHlpsbnw1kXHvPakduquLYSffQz/Gkz2ZDUl0vvs0SGEFsP6eUVVHHsVhWYysW+sej00YC543Tx5Tt2osiLf8U0u3IPSYZq526PI+I8bJxf+8xnhle/L8mMW/mc3qg0LgmG5wkEkIIIYQQQlqSoBDUnyQO45zLRsFJIiGEEEIIIaQlKbS1o9DWXqcPcxI1nCTWwXI3NdczulpOi56DoeGEKNfV6hpLiuLK1Nw2KUfQUlRbitYjXmsJi5CblXtUWwrZmpSbVnRbRhlLUgmLlqlICYuSokSV/uVIyUt9KU7/uNtUX+/NEYQxrwHtbui2dQr3ropasSQkJiW1YntRSkjjpWiAKznTbXFSxyinb/CKhd7tZnVhs2Rrlmzc344hNzO2WbRiWsvNLAdVsehLyuPl7q4ULT5WvTYpKfWkaGK9eu6mlqTcWc9oU/dJRxhmOh+qGJf3poIapyVFtWLazHmJl615LqXidYeSt0lpWkmdp/ZQSkOVpDyMj3F5zXiOxcLtVPar5PytvE7pSLVuUifSjPHvuYQGtV/rZStuLTdj3ddyN7ee1Wmev84z15CNZ04FGZDcNKG7qTqmSMSuKUUtumNrE5Jy35lb9o2/ZvVHFhVWzrNbx5zrUq6e1aHxHBfLHdr5tMXdTVEouukFcX1ScOmll+Kyyy5z/jZt2jT88Y9/TDu6IQsniYQQQgghhJDWpFCo8yUd6rfX4LDDDsO//du/VZfb2lprWtVaR0MIIYQQQgghrxEUi3XrIGapk9jW1oZJkyZlHdaQh5NE5CMp9RzEDHdBS6bibSeru5p0NzWdDw3HRD1uQ4rmSEx1W9mQt+i+Ug6ia9ZIKZrpvJZRV66lBlJSqiS0kSNFUWNxHNMM6Y1eVm1tbZ1iH8m/4ZLqEy1pqQjHtJIqpt1pyE3Lwvm0pBxLtdupU3hbjTuuYHegtTY5Y8uvk8V8mqLUpqRUKqO8e0P8uPQo5RkzpaiDLBu3HIz9tjpup3JsSWVrSWVpetmKY0OKGikpmnU1WfJTLQ2X8tMoCmJafNm4lB6OUHElHU211Nhx3Q3iY9p8njjbaGxMW+7iWUnlEm6Z5krZKOLvG76kPFmaiN83o2xcx6OI68yycdXm9NXxbqWJpEEev/41SMZuqNvE/UZLUduES7GRJlJQMd3m7N+SkLstWlIu41OfJhmr0ulUL6dJn7CeGX0pC3lLyAeVtnZAvKe1+/ReDzt37nT+3NnZic7Ozlpr4Mknn8R+++2HESNGYNasWVi2bBkOOOCAXIY8FKDfKyGEEEIIIaRh7Ny5E2effXZT9t1XJ7HePwCYPHkyxo4dW/23bNmymtucOXMmli9fjvvvvx+33347Nm3ahLe97W146aWXBvPQGgp/SSSEEEIIIYQMmCeffBLXX389Nm/ejJ6e/l+ne3p6sG7dOmzevBkAsGbNmsEbVJDAuCbobd+6dSu6urqqf477FfGUU06pvp4+fTpmzpyJAw88EN/73vfwiU98YuBjHgLssZPELA6IlizNcjr0HQzj92G5Heq2wJC0yKU0klJ5TnQtZFOKJtvKKaSo2qXUksKI7UTl+CLAkZapJsTTo8sbirq5BNJKOYwvtJ1KbuoNqP+Hfkd6CiASb5wWtAhlqO98JmRrthRNu7lJGZl7fm35mW6rLVsLh6iMJWmsWq7EpoTcimkjNvVyQ2Tj2t1QxrWK/8SuiJabImDKxiPL0TQhgSdFE3FtxbGWogp3w1QxrZBxHak3SkZuUQW5XG5Xh1QRMa4dsaVLcbGi5KZFuV78tWY5nzptDZaQW9jSzPg2C9MVVT9/DUmpu56L43zqSdjdvo4TqpaNhwljTj+rk65nOp+qi9VyLE7jdppQRh4pSWkgn1f6Ge9I2OM/DkcFQ1Ku3mDpfKrfNCkp9VIEPEm56KvlpuLNL6qPO457tdqJdDdtD43nSUz8J42Vs846C5VKBTNnzkRRnPNXXnkFjzzyCI4++uhE28mVFO6mXV1dziQxKa973evwP/7H/8BTTz2VZYRDkj12kkgIIYQQQgjJj40bN+L3v/89DjzwQOfvzz//PO68807ceOONgz4mKSe1+gyEl19+GU8//TQ+/vGPD2g7QwnmJBJCCCGEEEIGzO7duzF69Gjv71EUIUhoFJc7fcY15r/2+tsRfP7zn8eDDz6IzZs34+GHH8b73/9+FItFnH766Q06iMGHvyQSQgghhBBCBsymTZswbtw47+/jx4/Hpk2bmjCixpTA+Mtf/oLTTz8d//3f/43x48fjrW99Kx555BGMHz9+IEMdUnCSWAdLg23ZbltlLtx+en/x2zHt8g0LfCu3ySrBEYTxeX9WmQs7X9HIZQKAcnf1pZl3WDLatI1+wlymSEkNAiMnEe3iGydlqxy0i/xBlVcRb4gN255f5z2IXKaK8tKW10KbynOQdvleaYRifC6DzEPUbTpHKbld/tDISUxqpW/lHafJV7a+SJW5Tbqblb+khx0Y9x8371DHSrYyF05uYyV5LpMV415OopVrLGPckgwZeceB+hY5EPl7kcpXCuT+VPw70ahi2nvrxfuk845lWHsxbt37QxnHKsYd63z33mTFgRXTbTExnTbnP44i7NzgPLHyDjVm3qF4p/3Y7H/t5R3Kfmp/1r3Uj+McylykKE8VGCUwMucZ62My8smkTDAwSll5cSxiIE0pG5n3GFTin9tFVR5D5hZ6ecZqhxWZO25cQ17esSiBYV3P+pkly1UNNCdx06ZN5mTwgAMOQLlcxi9/+UucdNJJibY5YAoF+9nQ1ycFq1atGsCAhgecJBJCCCGEEEIGzDve8Y5YaWkURQjDEH//+9/xjne8A5WMRoOpSWFcQ/rhJJEQQgghhBAyYF544YW6fSZMmJCoX14ExXZPLVKrD3HhJFGRVSKTRg5j/eTvlcAQv36bNtt6H8bYAqPNsdI2LLCt0hWWPbYlLwVc+VlUUnK3cnwJjMiQqSWVm2qpQSSlaPobJkd6G/9NWNBm23hb0jS5HGjZWqE/dItabuLI1NxNFoUUpagtsI2SDlJiWgjcjXrlF2QZFUMiJduiQbTQsiSlXl9LYppYbm5t3112JaQ63uOlaZ6tv7w3pLGkt8pVSPmZV57Gkrclk5ADSkbuSdNy+MZZx7FTAkNtX8SujuMI/RJT73hlrFb0PUVdDKLsRqD2XwwM+Zd4SwNDbl7wbO5Fm1E2RUvYiiLmTdnjMMCX4CVbL00cS6xnsy8jNGSqersirj35t1WuwpB/Os/4NDFulM5wYt6I4TSlq3TumBMBRrkqfQ7lel6bk+6hnr/iPhnp57aM6UDHkSwl5a5mlcSwpKm2pDT5eu5YYuSmCU1nkpaPyFJmIitBoeh/jqvRh7hwkkgIIYQQQggZMCtWrDDbzzzzzEEaiaBQSCA3ZcEHDSeJhBBCCCGEkAFzwQUXOMulUgmvvPIK2trasNdeezVxkpivcc2eACeJKbB+ntdYP+u7zqPxkj/dbjuoxUvTPJmaJWmTjqZaimY4mJkyFUOK6slGhcQ06tkd3zeFTC0z8lundlerLqVv+raiHUwlWn7i6gv1eevff2TIiYpF1xUxgHQ3U7sTr31JaTIZtCdRNq7voeJumjR208R41vUcB1PvXCJRW2+7FeNiOYp3PjSlaIZLoZabJ3Uw9STkSgoeSUdV3WZJyi0cl2J1TAVDKi73rdukY6Lnbliu2Q8AUNFyV3ne3LaCiOti4I7AdMgMZT93Pct127qGrfWcmDZSKQaKJ2tPKLmrtZx1n842Df/LNLJxZ5tBfD/vGGRcG5JyL91COphaz/isLsXeszk+puPGVQ9Ptu7EeLKY1stejMtj1GkijqRc3QtlTKtfrgpiuaBjU+1fLut7v+1sL/vlE+Np+fvf/+79bfPmzfjMZz6D8847b0DbzkrQ3oGgvaNOn5LZvifCaTMhhBBCCCGkIRx00EG49tpr8bnPfa45A+hzN633jzjwl0RCCCGEEEJIw9i5cye2bt3alH0HhYJTTzOuD3HhJHEA5C2nqYflhGj1tWVqakXL+TCMd0Wz5C1StmHJSwE4DqaWTMaRl+rxpCnYaxAI2YonRRHqU31MzinVxbu1BbMh/ZMuab70L77Qri1ZlO99vBTNcj7U7qCWs68nTRukmGmE42IaB+OicS4dKZp2LIZsc7HeZ+veEOh4TCopNR0T4+PfdDC15KV63RQuxdIZUTsfyvUiLUVL+M2x99bL4t2epLS/d1RQj1ir0HgULyn1nW2FpFyP1bi+LAdjVzaKTDipFMPM9RSo52CaTF7a2zfZ/rz3ztiG54QaJoxjs7h9Nrm5H5vy2WxIyi3H4jTPafVh3jrd3nhi1tNx7LitBurZLOJan9/IOIdWTPtOt3Kc8UksWR24LefTuO0kjenLLrvMWY6iCNu3b8cPfvADzJs3L9E2cidI8EthwF8SNZwkEkIIIYQQQgbMj370I2e5VCph8+bNeMtb3lLX+bRhBIFfZqxWH+LASSIhhBBCCCFkwGzYsMH726uvvopzzjkH3/ve95ribhoV2nxlR40+xIVnBEO7GHDSLzbSfAHiyBG1K5pESyW0/CSur+m0ZkvIpPzEk6JZhbYTFuz12gz5gVNo13NsM7YRSucz7RCnlgvx0hTnLGopjiMn0jI1IflCvITNIqvsqnfdoRtPedLsw7R271wTVtx615XlzWtgxLgj26onIbWkqVaxbXnfMGLcfMtCHcdim9rBNLTkfMa5t+6N3v3WcCl2YjD5e+a6FOdzAQ/3eG+0BD6rFNXbjnHtmJLSNM9x87oWsu0UcWvGppSCp3A39bJkjLa4sfTuU9wbMkp2I/Pcq+evEdNprgs71Sib/LTRjBw5EpdccglOOeWU5pTACAoJfklkTqKmqWfk9ttvx/Tp09HV1YWuri7MmjULP/3pT811vv/97+OQQw7BiBEjcMQRR+C+++4bpNESQgghhBBC0vLnP/8ZO3bsaM7OgyDZP+LQ1F8S999/f1x99dWYOnUqoijCihUr8L73vQ+/+c1vcNhhh3n9H374YZx++ulYtmwZ3vOe92DlypWYP38+NmzYgMMPP7wJR0AIIYQQQggBgLPPPttZ7jOuWbNmDf7pn/6pOYMqFDzDo5p9iENTJ4mnnnqqs3zVVVfh9ttvxyOPPFJzknjLLbfgXe96Fy688EIAwBVXXIEHHngAt956K+64445BGTMhhBBCCCHER/9aWCgUMGXKFJxzzjn40Ic+1JQxMScxG7mekT/84Q+YN28e/vznP6det1Kp4Pvf/z527dqFWbNm1eyzbt06LFmyxPnb3Llzce+998Zut7u7G93d3dXlnTt3ph7bYFIv38vtG9+W+VfzhDlJWqNvWmenIakNdor8hcQ5ipY9spXL6G1flbkQ6FwOO69M5D0Y/bKi7fEbs5fGMNziOg9y+44zcW5xfAkcvzyOFWPxeUdp8pAS78/o65WyEd8c+/lSosyFEdNDmcFQT1XCfO4bwy2m8zi3XmkTp+zBIFAvZzaOFPFnlbnIGv96PStDN0haID3N55aBfMZJyHBO9f3hD3/Y7CH4MCcxE7mekZ6eHjzzzDOp1nn88ccxevRodHZ24jOf+QzuuecevPnNb67Zd9u2bZg4caLzt4kTJ2Lbtm2x21+2bBnGjh1b/Td58uRU4yOEDD0Y14S0FoxpQlqLJ598Et/73vdw3333YcuWLc0dTN8ksd4/4pDql0T9K57m+eefTz2AadOmYePGjdixYwd+8IMf4Mwzz8SDDz4YO1FMy9KlS51x79y5kw8fQoY5jGtCWgvGNCGtQaVSwVlnnYWVK1eiWCyiXC6jWCzirLPOwm233YaOjo5BH1MUBIjqTAIjGtd4pJok3nLLLTjqqKPQ1dVVs/3ll19OPYCOjg4cfPDBAIAZM2bg17/+NW655RZ885vf9PpOmjQJ27dvd/62fft2TJo0KXb7nZ2d6OzsNMeQl1wmD0JP7jE8LloZfMNjxEOfeje0gRIa8tKK5ZJeR5JkxVMla4kFRZK4JgSAWwKjGC8907K0xDK1QSDrI0qHm4zdvGJRImM/TDloxvSeh4yxVCUwjNjMHLdpnreD8ItTIz6W2s/m/PZz5ZVX4uGHH8ZDDz2EiRMn4phjjsGf/vQnnHbaafjyl7+M66+/Pr+dJaVQtFOK+voQh1STxIMPPhgXXHABPvaxj9Vs37hxI2bMmDGgAYVh6OQlSGbNmoXVq1dj8eLF1b898MADsTmMhBBCCCGEkMHhO9/5Dq6//nq85S1vwZ///GdEUYRJkybhmmuuwYc//OHmTBKZk5iJVGfk2GOPxfr162PbgyBAlOLbyaVLl+Khhx7C5s2b8fjjj2Pp0qVYu3YtzjjjDADAggULsHTp0mr/888/H/fffz9uuOEG/PGPf8Sll16Kxx57DIsWLUpzGIQQQgghhJCc+etf/4qjjz7a+/u+++6LF198cfAHhF5lVpJ/xCXVL4k33HBD7K98AHDkkUciTOpOCeC5557DggUL8Oyzz2Ls2LGYPn06fvazn+Gd73wnAGDLli0oCPe5E088EStXrsRFF12EL3/5y5g6dSruvffeptVIlHKd9iaILC05QmYlUUJNtg4mZ62BBJqsU6PlX0Xpkqja5Ngy71vLzayxFOPbDHlboOrwyPNo3qB0/R5nPfc9i4Tzmo5GeV1YUjSNlKJoGZmWqUhJiylvSdgvC3p77Q249w+2Sj03Pz3rOpNtup/jBKri34mBUux6nhSskNHtMC9ZUMLtmHGsz5OMR6tNtwf63hB/V5NfxloxbknK9fXrxKMlUx1C6Rl5kPU5nvUZGzr34Ei19e9/UM5yveszDh03Rtw6klLdKB2TBxLTVn076zlurZf02eydQxnT6tkslvVz1Pw8p5dljHvXUMLnr7E/vV7fclIJ+T777IPnnnsOBx10kPP3e+65B0cccUSibeROkKBOIieJHqkmiVbuXxa+9a1vme1r1671/nbaaafhtNNOy3UchBBCCCGEkIFxwgkn4N///d9x/PHHA+itfPDOd74Tv/zlL/HTn/60OYMqtPX+q9eHOAz4jLz88sver4dxxjaEEEIIIYSQ1uSyyy6rlrwYPXo0PvCBD+BNb3oT7rjjDrzpTW9qzqBaOCdxyZIluOKKKzBq1Ki6VShuvPHGVNvONEnctGkTFi1ahLVr12L37t3Vv0dRhCAIUKlkLJBMPFxZQbJ+Gr2eI3dRFVst2ajpYGpILJw2LfdoV0WqneL2SopWSFb4PmuJeE96ImWj7cqyua1/3EGbOgY5tja1XtHoq7/FstrEOfZlo4htk9IqX27W/7qkvvhxXRH1/mpLU/RrvVx2XqOhuGOMl1QNhruwLQdMIXez2sT1EaSRMYeGVFJiSawMaXak0xEKqii2iBevYLYca4q0BltuJmJcx7Fc9mSy4pj0fbIoYtU6T3pZ7UNeJzqOwph+vW1RbJuMa2+bzr1BS8oTysYb4J5aQe89p6C2VxDSTN3WbEWsdQ/OekvRaQWBIYcMTBmz8Ry3JOVyPZ024Twr1biF+jzrs7kejlRVxbGVGuLEsfGM9c6h6OtJUa1zb0iNrWXrM5x2IpfLlhTVatP0xXjSmD7ssMNw2GGHAQAmTJiAu+++O9F6jaRRJTBuu+02XHfdddi2bRuOPPJIfP3rX6/+gjpY/OY3v0GpVKq+jiPIcHyZJokf+9jHEEUR7rrrLkycODHTjgkhhBBCCCGkoTTgl8Tvfve7WLJkCe644w7MnDkTN998M+bOnYsnnngCEyZMGMBg07FmzZqar/Mg0yTxP//zP7F+/XpMmzYt18EQQgghhBBCSG4EQX1jppQ/eN1444341Kc+hbPPPhsAcMcdd+D//b//h7vuugtf+tKXso40V3bu3Il///d/xyGHHIJDDjkk9fqZJonHHXcctm7d2pKTRMsNKo0UzXGDNOR4YSG5rEeTRmLqriflSMp9S0ouLLmX524m2+KlGUFbHTdDKeP0Rm4g3E4jJXd2tqP3Z8lWi4aExZGbupLSoHNEzX6AL2mR0jSvrZCsTV8zFUeKEi/DsqRo+vopVWSb29ij9C5xklLd1kh3UwvPoS3hl4daZivfWUuep9uKxoNI9rRcK3u3W/u17mvJoTwpquXoJ+NYyz3lNvU1L7vBJir3xPfNo/C2ujeZMjUhMfcl5SIePQmbEbdFI8bV+ZbXkI4OGXI6/i3nQ0uK5tw3jGdWTzk+3psV0/VIKjfX0j3pimzFcRpJqetMq56/4rUV04CSjaaIY6evvj4jw21UtHmybbGZqKyGIkInqqixhPHP3zTPasdBWTkRy5QPM44t2bglRU0R06EhIfVcwo1ndWJ3U2Ob/ueG+mkiQymm0xIV2nxJcY0+Senp6cH69eudMn2FQgFz5szBunXrMo9zoHz4wx/GP/zDP2DRokV49dVXceyxx2Lz5s2IogirVq3CBz/4wVTbyzRJ/Nd//Vd85jOfwV//+lccfvjhaFd5ZdOnT8+yWUIIIYQQQgjJjxRy0507dzp/7uzsRGdnp/O3//qv/0KlUsHEiROdv0+cOBF//OMfBz7ejDz00EP4yle+AqC35EgURXjxxRexYsUKXHnllYMzSXz++efx9NNPV39iBXoTImlcQwghhBBCCBkq9BrX2FqWvvbJkyc7f7/kkktw6aWXNmpoubJjxw6MGzcOAHD//ffjgx/8IPbaay/MmzcPF154YertZZoknnPOOTj66KNx991307iGEEIIIYQQUuXZZ5/FJz7xCdx3333O62YQRXaKVl8fANi6datTyk//iggA++yzD4rFIrZv3+78ffv27bnXlE/D5MmTsW7dOowbNw73338/Vq1aBQB44YUXMGLEiDpr+2SaJD7zzDP48Y9/jIMPPjjL6kOCShgl0lc7fQxJvNZ+51WSU+rLdf6gtDo3c5K8XKZAvFa24oZ9s6vfdxMPHC135CZ2BLKUReSeGS9HQG5TLTtHr/Mey/0+2942ndyG+P1ltcfX5TGCjv5AjIrxpTMAALJd51y0xbeFQf9yRecEmjkJ8Rb1JdG55G0T8W1G3qHOX+opV2r2a2aug5WvlMQWHADaC8nznIoFI6bNuHWX3dzi+L4FL47FtaTiMRJx7eU5yVybojooMQB9Jpx8Jd2mlmGVuZBxHMbLhrxcKmf7RgkeL89KtLW5HxIiUcomUjnJTk6SV/ImvsyNjGnAjWsvxpKWslE3AJl3XFIrlmXeccJcYgDoLtce51DNX0rnLSBiXN8bxNVc1LmFRs6Ylcvoxn98Pjmgn9VW2SkVK5HI7fWe1fHP8UjcK6wSWF6ZC5F3GKiSN17eoUPyZ7UzFKsklZX3b+QrernFzrM5Pqajgo7p+Gezn6MY/6w2n+PS8yLKJ8az5iS++uqr+MUvfuG9bgaVKKrr+dHX3tXVVbfee0dHB2bMmIHVq1dj/vz5AIAwDLF69WosWrQolzFnYfHixTjjjDMwevRoHHDAAZg9ezaAXhnqEUcckXp7meYy73jHO/Cf//mfw3qSSAghhBBCCGltwqh+/dS032stWbIEZ555Jo499lgcf/zxuPnmm7Fr1y4nFW+w+V//639h5syZ2LJlC+bMmVNVer7xjW/ElVdemXp7mSaJp556Ki644AI8/vjjOOKIIzzjmve+971ZNksIIYQQQgghuRFFkffrfK0+afif//N/4vnnn8fFF1+Mbdu24aijjsL999/vmdkMNhs3bsRNN92Ej3zkIwCAqVOnYvHixZg3b17qbWWaJH7mM58BAFx++eVe23A0rskqi3F+rleKDseGWJchKMRLBSzL8qIqlyGlavoIpFBEyxqKRltByFaKSioh5SbQZR+ieEmpJ02T6+llRxqiJCXS2lqXuZDjURIWyy7flKZJSWkKW21HYmq1QcnW2kfE9tXrSUlJSZ3espSNepKy/tfdSgpqSdFkX93mS0r7l3V5DKdNvC6X46+RNFTCGCm58TZL/PIY8dJsefXWi+PY/aWwNvekac7+1cikSl5JYQPLHr9oyM2c7as2GfLaAl++1k8cLYUTsnFfiiZiyXjGeLHq7M+QlBaNcjX6XtgWH5vOdrQ9vhf//ctWKRsd42aZmUjGv4rxpJJyI8atEhhSTt4zTD4HhEbMOTHuycZrbwMAiuKit57NgRf/UioYXx4DgGvCoSWPUv6dJo6dBSVFNcYi+/rPdFl3RcvExfNPy8u97RjOlDI+dSkLK46NMhfu89eQohr3DR2b5YRxC6gyN+rUuHGs00bCmq9791H7NWDHeN9Y9ZiHE434JREAFi1a1FR5qebiiy/GjTfeiPPOOw+zZs0CAKxbtw4XXHABtmzZUnPeZpFpkhjWCWZCCCGEEEIIaTZh5E+Ma/UZ7tx+++34l3/5F5x++unVv733ve/F9OnTcd555w3OJJEQQgghhBBChjqNkJsORUqlEo499ljv7zNmzEC5XK6xhk3iSeLXvvY1fPrTn8aIESPwta99zez72c9+NvVAhgqW9FTLAaTbmSVT8SSkjrxF799dDhM6Ier1Aum8ppzP5DFqaYhUphWU/MKUlCr5qTsW0S+2V19n4ZLmuSsmdT5UUlRrfwmdEH3HNMv5TMrN4uWlvX3jZWuyb1mdOEu2UsooRZOS0t2GFNWSkOrtWG1SYlrWF3DOyOMuqDgyPPScWNX9LFfUiqOwSiMTF/HuuSm6RMZ9JHLk7m6bdDDUcjMZ1yrEEZR7xPbVvaH2Jl4bgGjV8taCkrTJ+NBjE3GdquiSIUWTyzqOpbzdi3EZq1ZMt2kJudtXxrXvRBqfllA2pGiONNzYppaUJo1x/YyUfWW/Uk4S8j60FDwUWk39OKioZ15BrFsIksd/6Mg/s8VxoGWjonOk1pQScr1Nfd7lVtsMB2MzVnX8yTaoZ7rjpup+2Awq/ctawu5IUQvx14R3L/I6xMtNnX3qZ3rBiPGEslGdXuNIUdU2ZUxbzt+6zXpW+w6mYc3XvcvJYlyvZ42tL67zjunBJIT/DK3VZ7jz8Y9/HLfffjtuvPFG5+933nknzjjjjNTbSzxJvOmmm3DGGWdgxIgRuOmmm2L7BUEwrCeJhBBCCCGEkOy0t7fjoIMO8l43gzR1Eoc73/rWt/Dzn/8cJ5xwAgDg0UcfxZYtW7BgwQIsWbKk2k9PJGuReJK4adOmmq8JIYQQQgghpI/Jkyfj8ccf9143gyS10Ydqbdc0/Pa3v8UxxxwDAHj66acBAPvssw/22Wcf/Pa3v632C3Rt1RgSTxLl7NMiCALccMMNSTfbNJJcMH39ar0GgIpUOGh3Q7eatduW0PkU0EWT4+UuoRKnRIbzopTbaXc1KcsJ1LjbnEK78dIX86x6cq8edzEUspVQy0YsmVxY+3U9HAmNckUzXCDzkKLpvpEq2F0Wlrk9hmxMt0lFiJabvFLql+z5ktL+vtr5VC6/2uPKeb1lsQ/pdti7LGRrldqvBxtLiirfWR2rUrambyWhIRWSbfo+7cS0J0VX+xev9XbMGBedC9qZU25TLUvVmtdmyMSd2NGxWVE5Eo4WT9tJiv1rV0ZDigar6HhSKZoX4yKurZjW8lJlg23JxqVLsSUp9+Vm8bLxbhGPWopqycTlsr43OC7FzvEgF8IoQhhFXtpEXlQcKarbVgj7/9BuOJhbcexJUZ314qWonrxUDU6+fVpCWzCelY5IXpuiinDMK8bl/us5mCamYOzfk9621e4HOM/nqGhJUY1UECOmtStxyXg260egXPYdTOOf1a67afx6piu5djB+7cKsV4x+KLOnyE3XrFmT6/YSTxJ/85vfOMsbNmxAuVzGtGnTAAB/+tOfUCwWMWPGjFwHSAghhBBCCCFZiJBAbjooIxleJJ4kytnpjTfeiDFjxmDFihXYe++9AQAvvPACzj77bLztbW/Lf5SEEEIIIYQQkpI+RUK9PsQlUwmMG264AT//+c+rE0QA2HvvvXHllVfi5JNPxuc+97ncBjgYWJJSC9PdMKr9GnDd1Hzn03hpmpYjFISOLAiV3MQZWU4yNeEa5pmCig15MhXZTcnLPPmHkJv67oZWWw5CAUvCouVmVoHehK5ogCsx1Q6mUkba4zkKxjuYOeupjUppyitKCyOlqN1aJhrjYKi3qduttkrM64HQJyO3XOWK+sI2vDJdd0N7v5L2gpSNxsuKtLzNcSzWMnEVrPKMefcG6a4YM2Y9TsB3NHawJJ0yrr2bipC+hSr+vSLgCWXjmeWmKdxNpUOklqIZklIZ45YrMaBiVT0oekxJef+ylpTK5W51YbiS8vgY1xJyGbdSTt7b1r8s1yupbTQS/Yz10j8i+dpqi48WLx7FM9eK40DdbypiHyq7xHUeL8Z/ptA70fuXMei5lIvX3p1QZpSowveug2mKGHcWkse0eb+x5K5ejAvpr+dgHC8pdePfbZNx7UvB49vksn4/LSfS7oobSzKu/fWSSdGzSMr1OsOJCPV/KeQU0SfTJHHnzp14/vnnvb8///zzeOmllwY8KEIIIYQQQggZKGHof5laqw9xyTRJfP/734+zzz4bN9xwA44//ngAvRarF154IT7wgQ/kOkBCCCGEEELI8GHnzp1Yv349tm3bBgCYNGkSZsyYga6urkEfS4jIM3is1Ye4ZJok3nHHHfj85z+Pj370oyiVSr0bamvDJz7xCVx33XW5DpAQQgghhBAy9Onu7sYFF1yAb33rWyiXy+jo6JXr9vT0oK2tDeeccw5uvvlmdHZ21tlSfuxJdRLzJNMkca+99sI3vvENXHfdddU6HG9605swatSoXAc3FDDzFUUqWqjaQpGH4OckyVwCXR5D77//dSlwfwsvSvv2SOcviNwG1SbzIAIjl8miXeXhFYoJ8wcKyvJe5S+gIrbr5R22xbdJMpbA8PKanHGrvEPZpvMOZd6DylcKtSW+kXdklbmwcplk3sErKn/IyVdSOUkyD2G30mXIXCOr5EVvezm2r8w9DMW4Qy/hZvCQsRuq/CFHfmKUsvHiVpbVUPnCMo6LKg/WsbXXMa1TdmSsatd3I7fYzmWSeccqJykQOUl6NRlHkXqsyHxFnczslbIxSmDIbrEtNTBKYLi5xYZ1vpGvZMW0tqC3chLt3KL43GKrXI1fAiM+l0nGqs49esVoiyudUc45f8nKO9TP0bywYtxqc0pg6DbxWuc5ypIYnjROJzCK7MKCHoBjPBD/rJYxDdQpcyFjRT+35Y2yXow7bSkiWb7HVk6ijuOM3gIyrvVnP6vMRdJnupWvCLixa+Ude6WsKvH3H6vMhdNW0W2V1/6eLM/485//PH76059i1apV+Md//MfqL4c7d+7E6tWrccEFF6BQKOC2225LtL08CCPbV6CvD3HJNEnsY9SoUZg+fXpeYyGEEEIIIYQMU+6++2784Ac/wOzZs52/d3V14f3vfz/GjRuHD37wg4M6SaxEUd06j8O5DmSjGNAkkRBCCCGEEEKAXrnpmDFjYtu7urrQ3d09iCOi3DQre+wksRxGKL7223LRkJRaJTEcSZmShjllLrQUtSBlKvb+LGmalBIUlKZMSkw9624pN/WkaJZBdjzSrbvY5urMC5VS/xa1FCXUtvNGmQuxHCkbqiCNxFRuMqtMRbZpC3zR17PA19IQwy47udzUKGVhtOkSGFK24klKxfIrRptu15KWsth/WfSrDKpdvo6H/ou3XXd21nOXC45sM142blnu+2Vt4tuCYjYrfQ9nJ/re1P9aOfCjKK5zLUVDKLX37nsZSNmmEdPeclarOSuOs5bAUG2hkPpZklIt6SxbkvIUpWwsuZlbysaIca+UhZCp6xIYTgmc+Ph3ytrUsxJMSN8vAJak1IsxtetKEC/NLJht4rUuMyUenlabTvcIjDYnbnUGh9qHDHr9+QPWdmS5KvXsCgxptvMJWpfVCOOl6InL2tQjaRynSRsRxxGqYkEyrrPKTb34N57plmxct5VEbJUrer3+eNxtxGpS2bhcLiWUkL/rXe/CZz/7Wdx1112YNm2a0/bEE09g4cKFmDt3bqJt5QXrJGbDSCQjhBBCCCGEkGTcdtttKBQKOPTQQ3HQQQdh5syZmDlzJg466CAceuihKBaL+MY3vjGoY6qEyf4Rlz32l0RCCCGEEEJIfkyYMAG/+MUv8Ktf/Qrr1q1zSmDMmjWrWjpvMCmHoWPqF9eHuHCSmAJLilpUuk1LilpyZGpaXuouFwvxsia5rm5zlCJaCuMsGa5oWt5iyE/lIepexUK/pMVzTy1oB1Ppbqpt4fr7anlpVpFAZEpYhEOdlqKJvp5MxZAv+5LS+DbL+VDKv7SDqZSR6rZXHSma27bLcCV9abdoM9xMAeVwqPqWxdikHK2S0825EkbVf/rvfRQ9S0/Rz5CiFgzZqO1g7O5DStMsx2Kt9qqYcjMoRF9DeqpValHCtqLhmOjFtCMhrSMrNuRolqTck5g5KyZ0N1XbkHGtrwsp99Iy5KRyM93uScqFxNSP8UpsmytT0+7GhkuxIUWTMe5JUR3H4tqvG4FM4yhqbbS1nhfH8S6loQgCSzZuSsqtlA7DsdQbjCk/VfsPjHEbkvKC4W5sPn8LxnM7ZhupsaSwCeWm+lkt41o/g+T7ZsnG9ftrOZjKNksKrpc9l2IRW9qJfLcjDY93MPXSRkoy/mvfU0o6f6YOxx9/fFMmhLXodTetJzcdpMEMI5oqN122bBmOO+44jBkzBhMmTMD8+fPxxBNPmOssX74cQRA4/0aMGDFIIyaEEEIIIYQMFyg3zUZTJ4kPPvggFi5ciEceeQQPPPAASqUSTj75ZOzatctcr6urC88++2z13zPPPDNIIyaEEEIIIYTUolgs4pBDDmn2MBz6jGvq/SMuTZWb3n///c7y8uXLMWHCBKxfvx7/8A//ELteEASYNGnSgPYtJWkVQx5otVkkLdAdFrRMJblsTUpMPbmrUwTcXc/ZpSUpNeQtYQp5S0WMTUv9ArUT6YwaGHJT653wpDAJpWiRlqI5kqH491DLVKTExJKi6L6+pKX/tS83iXcptaRocnmXJxs1pGgl2ebKS7VspVssl3vcsYUxUtSKtohrIDqOZexo1WtotFmOiSXjmrfkbVo27uDFcdLC25bzYfK2UIwt1GOR7sZKihoIKVqgZdsaS1Jqryl36K4nZeOenFDe3902Gdf6bZH3A+1YasrULLmpknKZklIxWO1gvNuQolkxLuPYcj7VEraKE9O1X+eBfq4UDbdTz4lYrJtqvYSycZ024ra56zmSbv2Ik68Nc1EAqMjehhRdx38kjknvI3DiWG0ykHGsYrxRElNnJ8me1fo6cZ7jhqTU++xnxHHFkZS6w7Tkpt0JXYkBN671/i3nUxmfOsatODbdjVO6m37729/G2LFjE/UdLFgnMRtDKidxx44dAIBx48aZ/V5++WUceOCBCMMQxxxzDP75n/8Zhx122GAMkRBCCCGEEFKDBQsWNHsIHqUwsr+EhT8ZJ0NokhiGIRYvXoy3vOUtOPzww2P7TZs2DXfddRemT5+OHTt24Prrr8eJJ56I3/3ud9h///29/t3d3U7Rzp07dzZk/ISQwYNxTUhrwZgmhDSKKIGcNOIviR5DZpK4cOFC/Pa3v8V//Md/mP1mzZqFWbNmVZdPPPFEHHroofjmN7+JK664wuu/bNkyXHbZZbmPF1BSVCUbtVwRHZmYIW8BfLdTiZTJ+da+8RLLgpSfaHc1wzHNcTDVMhmxu4ouwh3I49WSIbevPB++CaVwftRNEkNe6hnNyTq/ShYj3wq9XsWQlFYMCWkaJ0TL3bDbdDeNl6lJ+ZnlbijdTHWb54qmlqWM1Hc3rS1FrfSkkyTVi+us7qYWloTNd0WMl6lnL9CtxuNIyo04NhwUQzU2RzaurnoZVfFbdOXlQG96QHUbWt4GTbY0+Sh2wT1G/SFAvqf6PaxYUlQpN/Wutf7X9eSmSeVnWlKa1N3UinHL3dCSlHcb8S6lp5WE0rQ+4mI6fC01RDuYOs8K/YxVckR5DVRUmyMpVftwpeHJZeNWm+U87sSqKSEFnDAzUkMi7ZguDVT1uRB9LSmqdQvNK6Y1jqRUndTION9y0ZKUmm3a3TiMvzfIGLccTHVMe7JxQ1Iq23oMSbmWlMo41utJR9M4KWo5YUyvWLEC733ve7H33nvXbP/f//t/Y9SoUXj/+9+faHt5UIlqOA3X6ENcmmpc08eiRYvwk5/8BGvWrKn5a6BFe3s7jj76aDz11FM125cuXYodO3ZU/23dujWPIRNCmgjjmpDWgjFNSGtw9tlnY8uWLbHtmzdvxh133DGII2q+cc1BBx3kVWa4+uqrG7a/vGjqL4lRFOG8887DPffcg7Vr12LKlCmpt1GpVPD444/j3e9+d832zs5OdHZ21mwjhAxPGNeEtBaMaUJagyAI8Ne//hWve93rarbvt99+WL9+/aCOqVQJnfq2cX0ayeWXX45PfepT1eUxY8Y0dH950NRJ4sKFC7Fy5Ur86Ec/wpgxY7Bt2zYAwNixYzFy5EgAvQmwb3jDG7Bs2TIAvSf5hBNOwMEHH4wXX3wR1113HZ555hl88pOfzDwOKQ8opnA3tdoSOyYaRXh1u+eEaCTZ2rK1ZJIWf9zxqxlmqo4U1SsQrvomlbRorK7Wd0OOpDSzFC25TEXVqHVkwp6DaQOkaC8LGenLSlIqJaba3VDKzyx5ae+ykJypscW16X5ZqUrTjIvHe7+covQqVsT7pyVsFo7k2JCMu5EDuNFTR0IuDQZTyNbk/cerQS52EalrNUgoRQ0MCZsmm/DXJ2mM63iMcohxW25qF8y2YtySlFvuhi93x8fqq4aDqYxxyzFRx6p0vZVtYROLjqVxQnWfsfHrZZWNew85p6O7GDj3HysVBJC17j3ndRnH3mb6t1MsGPGQUxxnVPebslGNPH591bnuptYzXkvDZb9sMZ5GbmrdG7rVB4fdZSkNj3cw9VxKnXQT9/kv96flpn3P+LL+AGPwnve8B0EQ1Mzzi/t7IxkKctMxY8YMuDLDYNPUSeLtt98OAJg9e7bz929/+9s466yzAABbtmxBodB/x3vhhRfwqU99Ctu2bcPee++NGTNm4OGHH8ab3/zmwRo2IYQQQgghpAarVq0aUrUSk8hJG10n8eqrr8YVV1yBAw44AB/96EdxwQUXoK1tyFjD1KTpctN6rF271lm+6aabcNNNNzVoRIQQQgghhJCsTJs2DdOnT2/2MKqEYeQZHtXqA/jOynlI4T/72c/imGOOwbhx4/Dwww9j6dKlePbZZ3HjjTcOaLuNZkgY1xBCCCGEEEKGN5dccsmQk1WWw6i3VqLxry91YPLkyRg7dmz1X1+6m+ZLX/qSZ0aj//3xj38EACxZsgSzZ8/G9OnT8ZnPfAY33HADvv71rztlf4YiQ/t3zgbSl7sEZLfEt5AadivPSRf31HlPjj232ebu392ukdtUdFukvN7L4xD5C5E6pkhkDOizKYfi5UApsuYkJsXLc4iS5TJoGYKVdyhTDXS+kn6/uyv9Gv80+Uoyn2i3kZOo8w4bYoGvyleURXtZ9ZW2+LItLCXPdchC0hIYXo6wOLQwiG/Ttvoyg8bKO85qq1+r3W2ML4ERGEtRGB/HxYT5imbuUgNiGvDzriTJcxLzj3EZ30D2nESd2yRj3M8tjM9XesVok3lIXpsT08nivVLSd9SBod8D+TzUvxCkKZdh5x3G5wjK2E0TmzJ/0Str4+wj/p7Su5P+di+uZNmXQEe8aEsRx1bsNuLXBuvq8fIsE3sLZItx3SbLU+mcxKQxbd0Lepfjn/FWrFolMJK26VIXfc/tpGVtLr744kT9BpNKFHnvY60+ALB161Z0dXVV/x73K+LnPve5ampcHG984xtr/n3mzJkol8vYvHkzpk2bZm6jmeyxk0RCCCGEEEJIa5NGbtrV1eVMEuMYP348xo8fn2k8GzduRKFQwIQJEzKtP1hwkkgIIYQQQghpSSpI4G7aoH2vW7cOjz76KN7+9rdjzJgxWLduHS644AJ87GMfw957792gveYDJ4l1yFwCI6FW0rNd9mzDU1jiu1s2+sW3SUmZXi2qxFtnS8VFQQvahGylok6L58BvnLakUjVbeqbkZk5b/Ha0TMGSsMlrQUtKfLmpJT8REk9DbqalKFJiqqUossyFtMrv7du/7ElRpRRFydv8Mheyb3xb2EC7/DTx6EhRDT20J3cTcrOsEraC1yZe67IWRvy3K9m4u5qOR7kJLb+Ml7BZUlQ57sGQpaWTogl5neorLztd1sOSmzklTlRMWzb3ug6X1dcpc2PIzS25mSUp7ynHS1E9SblYT8e7W/Yiqvm6Ecj3VadGpJGmVoJ4+ae5DyPdQ37a1LEpt6lV9u3i/lPxrtZ4+akfcoHopWSjUpppSVGNt0+XuWnEh2stGw2dNrevFeP2szp+m1JGqmPcKl3lys2Tl8fwylw45SqSS0rldrUUvcf4TJGkzE2jY7qRlMIQbbquW40+jaCzsxOrVq3CpZdeiu7ubkyZMgUXXHABlixZ0pD95QkniYQQQgghhJCWRPqQWH0awTHHHINHHnmkIdtuNJwkEkIIIYQQQlqSSoJJYr32PRFOEpFdNppUilo0XBEtFzbAlbFZbod+W/92/Z/Q4yWs2m1R4jQZErZIu6LJbRjb791O/kHqOBgqMYrrbhi/ni83TSY3s5zPetvjpandjjTFlY3sSig3e0m7mxoOpi8ZMtWkElJAyc/K8X3LPf3Wz2HP4NlAWzFuSkrVdpz4UyFWMV0R4+PWPZX15OXxsnHntqXkbk4EqjiWseuJ2wwpquPmbEnG45vqYt0ZXHdD1WZI6JLKxi25mR3/Sl6u4thxQqwkl40ldjD11ksmKY+TmwF+vDtSVClZS+iEWI++D3cDcSG3ZKNWPMoQ0+7iroNxfJuWjVvuvyVHpqolnfHS8KK6NVSca954VuuoEou+pFyuGH8Mltw8Ta3yrKkhlmxc779iPMetGJcyUktC7sd//DPdcjC1nEjTSMqde4rhPK5jN6276VCEk8RscJJICCGEEEIIaUkqYf1JYM7WCC0BJ4mEEEIIIYSQlqSnHKJQ55dQ/Yst4SQxFZmlqMpB0HJF1FgFu7Uzolqz+qpdaVEsdzVHmqba5OGG+piCeCmadDutJycdgKKof2zGLtJI0aTERMtGk8tNbbmZbNdSVLmd3eXkcjNHNqre4Jd3l6qvLblZj5abigLaZa/N6KulqOKYwlKPeF1CHlSi2tI0R/6dok1iFey2ZOK2K2JyCZuWX8Epyp1MwgbUcTC23E0dW0S3Tfb1zsWARKb9aBmZJKls3JeixcexJUWz5GZJJeS9fePdDvNwMNWS8qRyMxnDuk1LyCuisLgjPfUeLo3Dv+ay9fXa5DMvjYOxuDfo9ZzTYrgS6+tYx1Eo47EB6R9ZJeWmLlyR17PakptXHDmxfi/in/GyzXMwde4bKsade0P889+SlwL2M17GcU9GmWpZtUmHcZ1S0ic/z9uFfDBppnHNcIaTREIIIYQQQkhL0vcFcr0+xIWTREIIIYQQQkhLQuOabOyxk8RKFFW/NSgacqikMrU0UlTLFdFyO9XSVGeXajuOjM2TCBREPx0U/W2WpFRL4eThaqc1p6shUwN8uU8WrEK7+lQ4bSkcTC25iSU3K2sntEqj5WaG86FqkxJTy8HQbzMcTLXctOfVmq/D0qsYiiQt2K1lo1K2omXirqRUX/BCQlrngdUu4kwr+2TsthdUQIbxASlj1XI31ViOhn5R8GxYX/LaUrRsklK7mPbA5WaAG/9p5GaWg6ncjiUp13IzRypaSd4Wxrgi5i1N856xReMZm7FvQfVz4h/xz2bfwdh46Dn9YpvMdA/AdT8N1XNcprToZ6opRU027Lou5RJLJu5uU62XQjbuys2TS0rlJWrJTbv1M17GuOFg6jmfJox3vazj2JKUSkdT/ZlC9tVxLGXjkTqmvhgfznLT7nII1Mk51OeL7MGTREIIIYQQQkhrw18Ss8FJIiGEEEIIIaQloXFNNjhJJIQQQgghhLQkMsXM6kNcOElUlFPkFlqY+YoJrfM1On9RFg1o12lHznaM0hnq+KQuX+cdtht23a7NdHy+okbnLybFksbrnATLAltux8tlSJh3aLV5lvcZcxTS5CS565Vj27rVNi0L7KQ5SYCbl1Qpu/t3yl6U5et8SmAkwcofThWr4rVlj58q71Bs1PtS07jmdfy7eYfuirnkFivyKXKh9mflIKaIYyvv0MlXVCfcyjsqGbnE1r1B2947ZWeM+E+Tdyxj3s9Xii9PE4pzY8e0Or/imMKY183Gyh+WpClzIWPVKnPjPwDFWFTpChSMi14h3z4rVr2SVAnzFS10LqNFmjIXznoZ8w71B327lJXsl6LMhVHmSva1ylx4ngBGrHr3BqPMjeU7UInJHwbcOPbyFV9bruRhGtEkehLkJLJOog8niYQQQgghhJCWhDmJ2eAkkRBCCCGEENKSVKIQFS3Hq9GHuHCSmIJUMjWjrVKIl75Y1t2W3M1TAQi5QLvSopSsOCgYHtiVmG5w5S5aCmLJe/RYHHlPCn149jIXYixaYpFQimKVtbBs9QFbUmpa2SeUm1nW2VYpC690hVyvJ16mAijJmZCU6uVKubb0NA/SlKQxt5OwzIVVukbrraTNvidFFafSjxurL+LJKGkLDQt+Tyae0xewSWXkVrkaK/4taZi+hya2uTes861418ta6pRUUt6jymp0G5I2RzauZaMJpajWvUHKy0MlNc+bpBJSjSUp9fchl9R6iH82O311eSoz/sVYUkhPrRgv6NIdYmzWLUav52wjzdCMm4MlIW1EuSr9XEiaNqKf8VaZKxnzloS8XgkMGcc9nmw1WZkLXebGlYPXLnOhXwNA39xpOM+haFyTDU4SCSGEEEIIIS1JJYzq1h6m3NSHk0RCCCGEEEJIS9JdjrxfSDWlMieJGk4Sm0w96YsluXSUTEr+ldSVTcs95Xi0TFVqUXy5h3Bs1MdgyE30LizZWFw/TV6SUlumJh1MXZmI7KtlIpak1JKbpHEwtdzNLLlZWfTVN1MpRdXyUl9+JiRnpXi5qWyLSvnKTdMg4yMPWSqQxkEx3l3UckXtRbhRetajlm1gvKQtTCjh01LUvDDvdxklpfL91W2uTM1yN4yXjXtyr4SOxbrdkpT7zoeG82mPjHHDpTTGwbBmm1gv0ucwRl4+mI7FA0G+tWnMtl0HU7fNkrC6py9hnAKZ5af6+es8c/VHgyB+vayYz+qErsS6XcdjYxyM42XjVltSB1PreQ/Ui//4e0yPEeNSTpnK3fS1vnqd4QR/ScwGJ4mEEEIIIYSQloSTxGxwkkgIIYQQQghpSWhckw1OEgeAJVNL3Ga5IgKONiWNg2LFkbvEuyL6+hqxnpIcSCmKL8uLl6Ka0htDtmZLz1Rf8QdftoLYNsvdsGxKUeLbLJlIGrmZlK2lcTCVfT0HU+FM6slEDbmJ5XymJSih4Voa52gaVYa+NC2NK6IpKU26D63sSSUpN+Jf7s9zMB24FNXCkp4B2d1NpfzLi/GE7oaWg6ElRbUk5ZYUDHBj1+qrJeXdhtxMOhrqgvbS0VDHcehISp0m997gxX//2KJKpebr4YL+kFgoZpWfyyXr+ZtRJg6kk59a28lhm1bcOrs2JKVp3E3TSMpl7Fr3BktSbrVZz3Qrpi2Zur8dw/nUcyKNar4G3PjXbe56TlM1/vXnguFEuRICdeSy+hlAOEkkhBBCCCGEtChhGNX9pZC/JPpwkkgIIYQQQghpSaIoQlRHyVKvfU+Ek8Qmk8YVMS8HRavQrytpS76eFENoKWo9iVlSskpKk7sbZpObpCmYm6ZgtiU3s2RqbnHrbA6GUpZabz0tKZWupXZbv8Q0ytkJMatLaRqyuiLKbyuzytn0/nOTtDnbMO5Fg+F8mNGl2JKUe/GfUKa225SCJXc3TONgKGPeW8+Kf0caqu6FSd1NDSmqlrBGQrPsSM0rzXMszgt5LVny8sHAixXDpTjzPsTlmvzzhU1SSWl9d9P+12lcyhshKU8a/6a83Nhm73J/X0+aKuNYS28bEP99UlQtUR1ORGFUd/zD+fgaBSeJhBBCCCGEkJakUo4Q1KmDqCfVJN0X4IQQQgghhBAybOiTm9b71yiuuuoqnHjiidhrr73wute9rmafLVu2YN68edhrr70wYcIEXHjhhSiXyzX7DhZNnSQuW7YMxx13HMaMGYMJEyZg/vz5eOKJJ+qu9/3vfx+HHHIIRowYgSOOOAL33XffIIyWEEIIIYQQMpzoM66p969R9PT04LTTTsO5555bs71SqWDevHno6enBww8/jBUrVmD58uW4+OKLGzamJDRVbvrggw9i4cKFOO6441Aul/HlL38ZJ598Mn7/+99j1KhRNdd5+OGHcfrpp2PZsmV4z3veg5UrV2L+/PnYsGEDDj/88MT7LgZB03MMBkpWm/1s29f7sKy6c9h5zf33o8tVuLmF8fkKOifByWUIVU6CaNRtVt5RI3KSvPIYMu9BtcnSFuVSGNumLfBlXytf0ctXKqm8Q5GXVFE5iTJ/Ke71nkSqGMspf1jmKOp0RavsTCOw8o50ro1bAsPdTqNt7tPkHVo291becRqbe7nslbLJmHckpVZe3rHMB9fvi4j/Vo5przyViLGiF3/x2GVu4uPf+rziOfeLHEWdW2jFuNxHmnxhibmeUdbCKmuj+6YpgZG1lJXMGUyTd5i0rJWVgwgkj38/juPj3yqPIctexJXHGM7GLs3OSbzssssAAMuXL6/Z/vOf/xy///3v8W//9m+YOHEijjrqKFxxxRX44he/iEsvvRQdHR0NG5tFU39JvP/++3HWWWfhsMMOw5FHHonly5djy5YtWL9+few6t9xyC971rnfhwgsvxKGHHoorrrgCxxxzDG699dZBHDkhhBBCCCFkqBNWQlTq/NOmXIPJunXrcMQRR2DixInVv82dOxc7d+7E7373u6aNa0gZ1+zYsQMAMG7cuNg+69atw5IlS5y/zZ07F/fee2/N/t3d3eju7q4u79y5c+ADJYQ0FcY1Ia0FY5oQ0iiiKMEvia/9UqrvPZ2dnejs7GzY2ABg27ZtzgQRQHV527ZtDd23xZCZJIZhiMWLF+Mtb3mLKRuNO5FxJ3HZsmXVn3mT0JbCOn8wbPaz4kiCvN+Lk0narOPT0hvp5J9byQtDUppGiiblJp5MrQFlLmRbPbmZlJSadtlabtIjJaXuNkNxHFpSGjoyNcPmXq8n5XyGhFS3J21LK02Li+tiEKSOy6Ecx43AiR117HIxqSzN274pRUs+NqvMjZaUW1I0Gdd6m24JjOSSMiv+Zcxb8tLe7cSXubAkrab8O2H8a+mYJUVLGv+NiOk+dJwOpXQR/TyypOADqHrjIK9lT1LqlMCJD7o0UtS4fWssSalGxqr1TK/Xt5llLqyUEnub9r1BHqNuk/Hpl6Sp3Q9w5aeebNy49/a1DecSEWnkppMnT3b+fskll+DSSy/1+n/pS1/CNddcY27zD3/4Aw455JB0gx1CDJlJ4sKFC/Hb3/4W//Ef/5HrdpcuXer88rhz507vAiCEDC8Y14S0FoxpQkijCEMgqDNJ7PuecOvWrejq6qr+Pe5XxM997nM466yzzG2+8Y1vTDS+SZMm4Ve/+pXzt+3bt1fbmsWQmCQuWrQIP/nJT/DQQw9h//33N/tOmjSpeuL62L59e+xJHIyfiQkhgwvjmpDWgjFNCGkUSUpc9LV3dXU5k8Q4xo8fj/Hjx+cyvlmzZuGqq67Cc889hwkTJgAAHnjgAXR1deHNb35zLvvIQlMniVEU4bzzzsM999yDtWvXYsqUKXXXmTVrFlavXo3FixdX//bAAw9g1qxZDRzpnoklofFlKvHbseQ11nqe3CyhFC1NmyWxSCo3SSM3k/IywJaUShmLlpQ5LqXqJJbleincDeXxW1IUS0La21dIzipu30hI+irSFbFcwnAjL9lYo9HXtY5dt2/8dpJKUdNsM41s3Lk+rRg3tmnJzfRY8nAw9J1P83EwlBKzyG0y3Q3ludGFo817gxH/8XLTfEwgioX0EvJGoONdxpEenxVjWdExl4fcNrfUkIRvdRpXVB3/1vPfum9UjLakDqZpHIyTOphanxt0u743WbLRinNviJeU688NpvNpNPzdTSvlCCja49f3xDzZsmUL/v73v2PLli2oVCrYuHEjAODggw/G6NGjcfLJJ+PNb34zPv7xj+Paa6/Ftm3bcNFFF2HhwoVN/fKsqZPEhQsXYuXKlfjRj36EMWPGVPMKx44di5EjRwIAFixYgDe84Q1YtmwZAOD888/HSSedhBtuuAHz5s3DqlWr8Nhjj+HOO+9s2nEQQgghhBBChh7NLoFx8cUXY8WKFdXlo48+GgCwZs0azJ49G8ViET/5yU9w7rnnYtasWRg1ahTOPPNMXH755Q0bUxKaOkm8/fbbAQCzZ892/v7tb3+7qvPdsmULCoX+n7BOPPFErFy5EhdddBG+/OUvY+rUqbj33ntT1UgkhBBCCCGEtD7NniQuX748tkZiHwceeCDuu+++ho0hC02Xm9Zj7dq13t9OO+00nHbaaQPad0FIWJJKWdJIXhJvcwg5tKUhjYTNkpQ2Ai2/kGi5ixyb12ZI0eSyJTex5KW97cIJVTsYWvIvMXCvmG7Cgtmeg6F0N9UyNSEplcWze7cTLz9L7IQYNbbwtozHZkvXCk4x+8Y4HyZFX9d5nJs08tI0WOtmlZvJtjRyMxnHloOpjn9LUua5GxrxaBW+t+Rm8r5hSdF851NLQi7iPeb1cKHQANnoYMS09TzWUtBiDtWxLXmpLxuVMlG9neTyU3ebqq8hRZXuxlkdjD1JeUIH04qxP+te4G3HcDfVcvPIkuXKNiv+Y9qGs7tpGEUI6sw58pJftxJDwriGEEIIIYQQQvImrIQIysa3G/C/jCOcJBJCCCGEEEJalCiMTJVZXx/iwkliHRohTbO26TmoSZlcEC+FsdZrBI1wb2sGjkzNkJRabWmcT73Cu2K5rGRrlqRM3sysNsvBzHI+9KUo8UWyk7od1lrOmz4ZeSPiNs01b8VmI/aXlcacJ3dZXkp6fwORn2bBckxOE/+Wg6GUmFoyNW8fWlJmuA07bVahbcOl2Lpv+HKzZDFt9RuqDLbEuxFxPdjPYy1ZtX6AkZ9bBiLnS+purNNGkj7j0zzHkzqY6v2VE95vAFv+nTmOo/i2JO7m9SZZQ5k0JTBIP5wkEkIIIYQQQlqSZhvXDFc4SSSEEEIIIYS0JJVyGVGhbPYJy3b7nggniYQQQgghhJCWJAordSXww0UiP5hwkqjImqOTdb2seU6N2ockVcmPhqRE6ERL8drLgRB6ep33lEMNDjNfychzKtfJOzDzAI38AZmHoHOSnLYUNtehY52v8o4q8blG2ure7avzHodX/lLSEjVpStlkzVccjHuMu16m1cztaDWPd0zictFxJfvqXNusJM1JtOJY29znlXdk2dxblv/Jt5nGHr95OYmFHHKMZXzmlb9XzKGUTbpnbNbneHxb1nOhrzlnH2EQ29c73AbEtEWavONywme8jv/k943knw38HGHEtoXG5wZ9H3Hb4u8brUAUhgkmiXQ31XCSSAghhBBCCGlJokrFq/Faqw9x4SSREEIIIYQQ0pJEUQK5acRJomaPnSRKm/y2BpeLsPBkG4Nhey920Qhb/7zkPJaVvt5HSUgl9XrFQMiojDIirUJSKYpljz+QshbWjThOtjpU5KaNKAnRKPKQkVuHm1VCq5HXnL5vaBmXNaBSKLvpOJZLrSGVCnOQjWp5meXe58rb4yXkzWIolYAaClgxl1VimlVe78RxQV1jobVNKUW1Ytpt99/e4RHzltzUKldhpaJorBI45v7MvhXn/+FIWO4BgmL9PsRhj50kEkIIIYQQQlobGtdkg5NEQgghhBBCSEtC45pscJI4AAZbmqalqY2QSiZ1bPPajHOR12kKIzE2TxphWZ/2t1WU/koekz6GRry/eptSFqUlUknd3rJKSmzJSj5y06H4zVwj3mctm0wqv9QOvlldgj25nZTi6WsuocQ0q5zN66tdiuVY0jghumuq9fqvM30uQuOY8nCzLhbcsbQVwpr9ai1r98M4LJdijSVTs50P4+Wmbr94d2NHljoEJKqNRMoFC+qik7fuxjh/u+h4TCopzS81RLiUevdC6cSrVhSXSKiOQW9HupaXBrnouZbXWvFfFHLbpPFdD8vdOOm9QK+nz6+7v+Eh301DGFaAOp9HtFM74SSREEIIIYQQ0qL05iTa324yJ9GHk0RCCCGEEEJIa1KpICrU+aWwxdUPWeAkMQV5yQ+lTKVoyFQAOPoM3TcPfCma4RiXUMJmutClkKlZVJT8oiS05N36NIli86E6qJKQuxUNFzbrvbcc4bRzrt5OIJYD3Za10HEK+anbFiMbU21akmH1HezC232uxYMhHbawJKU5hUAutBfiR2NJ2KxrPpWETZnNyfNWCrU0XJzTstsWFqWk3N1mKeG1ldc140rRsl93VuFrt1+2eLfuE/52hraEvNnklQqS9DkKuPHpp4Zkk41bfZMeUhS5HeW50c/tQiD+UI5PEwHcVBH92UQul5INs3c9I1bls7ui4ziHENDupmkk5c56hvOxJuv9oBXcTaOovtyUJTB8OEkkhBBCCCGEtCRRGNafJNK4xoOTREIIIYQQQkhLEpZLCOroeKJymt+h9wz22EliWyGoygksyUGjZWppXBG9wtMO+UjaLAfT9mK83MySlFoyNWsf+lTIw9cSi1Klf6ftBffboEIgpJJqPSm3KwVu21AurJ5VimJtg5KywcGR9XiBKq85XZTaXdSOihLXpdhtk9d81li11tNxW0B8m0ZerpXI3Um3J0frx5GpWjL5jCHtycYN6X1W0jgK2nGdbR9hQndTf5sxEvKcpFvFIEhc5D1vLNm4E5+mUjLNetmu1bxi1emnxi376kve2o6Un2q5aXtkrKjiveTsf+g+myVaUqqXk6JdSpPeK7LeC1qRKIG7KT/3+Oyxk0RCCCGEEEJIa8NJYjY4SSSEEEIIIYS0JGFYQcBJYmo4SSSEEEIIIYS0JGG5hMCSNwOIKsxJ1HCSOMTwc00C2eg2GRbYMr/Eyl2y8PIzxT7ai0YORAp7fL2dtkJ8LoVE22y3W+dCnNPuitpoafi7Wel8BQt5XfiW2/HfoiUta9G7LEqO1OlLsiOvayvmdFtW63xrPblo7a9ebpmbk+i2BYEsc+E27jbyFSVeiSGrr4iPss4tcmz9G5/bk926Pj6Xyc9zyhb/g4V/rea/D30uC0M4L72QQ6zqvMO4fnqbXoxbOYnidUX1k4/fEW3us7mUJlgz0ojYzSvvMGmJGh3jWUtgZdn3cCIKK0DAXxLTwkkiIYQQQgghpCXhJDEbe9wkse/bmu5XdlX/Zrqbym/rDOdT3xW1dj+97G3TcimDi1y3rIpiy822qZ/k5Ld+7aqtXayo12s3f0msPWZNfr8kusvSNU3/qrCrpz/wX+kpO22v7u5ffrXs3iB2i767d7tt3d39bT09bluPaCuV3P2VetyxlcW6ZbX/suhbLrltFdG3on4NrZTFrxxqvVAsh7qtZ3f/63KPWu9V8Xq30xaV9XJ3zdcAEFV6Yl73yjzS/CrqbLca1y8DaEw8et/Wi9dp1nNipWDEu+HSqcfdrrYjY7fdiDn9Q0kev06k+eXSw/klUTkYi2+3X1Ext6vbiHERHzrGu8XybhWbMsa7dYyL2NHxX6r0L1vxDgDlihXjUWxbKNbT8R+KX2AqPfH3jVBZTYY9/VKrUFnBW/Ev7xXyXtAX+wON6d27emPaij9N1ni0tmP9kmnFprVeYMV0XSfw/tdt6vnf6F8S0/yqK999XYZOxnSPuh53dbvLr4hnqX7Gvyrio1ttRy7vLulnfH9bSW2zW25TtTnxr11YxThLZXUPE33Laj39/K+I9lD9qirbKt56Qi2k1xP3g4qOf7HsfTZ4Lcb77gNZY7qZRKXd9SeBlJt6BNFwfLcHwF/+8hdMnjy52cMghNRg69at2H///VOvx7gmZGjCmCaktcga081g9+7dmDJlCrZt25ao/6RJk7Bp0yaMGDGiwSMbHuxxk8QwDPG3v/0NY8aM8b7FG47s3LkTkydPxtatW9HV1dXs4eQOj294k/T4oijCSy+9hP322w+FgvETcgyM6+FDKx8bwOPrgzHtwuti+NLKxwYMXkw3i927d6Onp6d+RwAdHR2cIAr2OLlpoVAYNt+ApKGrq6slb1598PiGN0mOb+zYsZm3z7gefrTysQE8PoAxXQteF8OXVj42oPEx3SxGjBjBiV9Ghs9XAYQQQgghhBBCGg4niYQQQgghhBBCqnCSOMzp7OzEJZdcgs7OzmYPpSHw+IY3rX58jaKVz1srHxvA4yO1afXz1srH18rHBrT+8ZHs7HHGNYQQQgghhBBC4uEviYQQQgghhBBCqnCSSAghhBBCCCGkCieJhBBCCCGEEEKqcJLYQlx11VU48cQTsddee+F1r3tds4czYG677TYcdNBBGDFiBGbOnIlf/epXzR5Sbjz00EM49dRTsd9++yEIAtx7773NHlJuLFu2DMcddxzGjBmDCRMmYP78+XjiiSeaPaxhC+N6eNDKMQ0wrvOEMT18aOW4ZkyTenCS2EL09PTgtNNOw7nnntvsoQyY7373u1iyZAkuueQSbNiwAUceeSTmzp2L5557rtlDy4Vdu3bhyCOPxG233dbsoeTOgw8+iIULF+KRRx7BAw88gFKphJNPPhm7du1q9tCGJYzr4UErxzTAuM4TxvTwoZXjmjFN6hKRluPb3/52NHbs2GYPY0Acf/zx0cKFC6vLlUol2m+//aJly5Y1cVSNAUB0zz33NHsYDeO5556LAEQPPvhgs4cyrGFcDx9aPaajiHGdB4zp4UWrxzVjmmj4SyIZcvT09GD9+vWYM2dO9W+FQgFz5szBunXrmjgykoUdO3YAAMaNG9fkkZBmwrhuLRjXhDHdWjCmiYaTRDLk+K//+i9UKhVMnDjR+fvEiROxbdu2Jo2KZCEMQyxevBhvectbcPjhhzd7OKSJMK5bB8Y1ARjTrQRjmtSCk8Qhzpe+9CUEQWD+++Mf/9jsYRJSk4ULF+K3v/0tVq1a1eyhDCkY12Q4w7j2YUyT4QxjmtSirdkDIDaf+9zncNZZZ5l93vjGNw7OYAaJffbZB8ViEdu3b3f+vn37dkyaNKlJoyJpWbRoEX7yk5/goYcewv7779/s4QwpGNf9MK6HF4zr2jCm+2FMDy8Y0yQOThKHOOPHj8f48eObPYxBpaOjAzNmzMDq1asxf/58AL1SiNWrV2PRokXNHRypSxRFOO+883DPPfdg7dq1mDJlSrOHNORgXM8HwLgeTjCubRjT8wEwpocTjGlSD04SW4gtW7bg73//O7Zs2YJKpYKNGzcCAA4++GCMHj26uYNLyZIlS3DmmWfi2GOPxfHHH4+bb74Zu3btwtlnn93soeXCyy+/jKeeeqq6vGnTJmzcuBHjxo3DAQcc0MSRDZyFCxdi5cqV+NGPfoQxY8ZUc1PGjh2LkSNHNnl0ww/G9fCglWMaYFznCWN6+NDKcc2YJnVpsrsqyZEzzzwzAuD9W7NmTbOHlomvf/3r0QEHHBB1dHRExx9/fPTII480e0i5sWbNmprv1ZlnntnsoQ2YWscFIPr2t7/d7KENSxjXw4NWjukoYlznCWN6+NDKcc2YJvUIoiiK8p96EkIIIYQQQggZjtDdlBBCCCGEEEJIFU4SCSGEEEIIIYRU4SSREEIIIYQQQkgVThIJIYQQQgghhFThJJEQQgghhBBCSBVOEgkhhBBCCCGEVOEkkRBCCCGEEEJIFU4SCSGEEEIIIYRU4SSRDDlmz56NxYsXAwAOOugg3HzzzU0dDyFk4DCuCWktGNOEtDacJJIhza9//Wt8+tOfHtA2fvjDH+Kd73wnxo8fj66uLsyaNQs/+9nPchohISQtjGtCWgvGNCGtByeJZEgzfvx47LXXXgPaxkMPPYR3vvOduO+++7B+/Xq8/e1vx6mnnorf/OY3OY2SEJIGxjUhrQVjmpDWg5NE0lR27dqFBQsWYPTo0dh3331xww03OO1awhIEAb75zW/iPe95D/baay8ceuihWLduHZ566inMnj0bo0aNwoknnoinn366us7NN9+ML3zhCzjuuOMwdepU/PM//zOmTp2K//t//+9gHSYhexSMa0JaC8Y0IXsenCSSpnLhhRfiwQcfxI9+9CP8/Oc/x9q1a7FhwwZznSuuuAILFizAxo0bccghh+CjH/0o/umf/glLly7FY489hiiKsGjRotj1wzDESy+9hHHjxuV9OIQQMK4JaTUY04TsgUSENImXXnop6ujoiL73ve9V//bf//3f0ciRI6Pzzz8/iqIoOvDAA6Obbrqp2g4guuiii6rL69atiwBE3/rWt6p/u/vuu6MRI0bE7veaa66J9t5772j79u35HQwhJIoixjUhrQZjmpA9E/6SSJrG008/jZ6eHsycObP6t3HjxmHatGnmetOnT6++njhxIgDgiCOOcP62e/du7Ny501t35cqVuOyyy/C9730PEyZMGOghEEIUjGtCWgvGNCF7Jm3NHgAhaWlvb6++DoIg9m9hGDrrrVq1Cp/85Cfx/e9/H3PmzBmEkRJCksK4JqS1YEwTMrzhL4mkabzpTW9Ce3s7Hn300erfXnjhBfzpT3/KfV933303zj77bNx9992YN29e7tsnhPTCuCaktWBME7Jnwl8SSdMYPXo0PvGJT+DCCy/E61//ekyYMAFf+cpXUCjk+93FypUrceaZZ+KWW27BzJkzsW3bNgDAyJEjMXbs2Fz3RcieDuOakNaCMU3Ingl/SSRN5brrrsPb3vY2nHrqqZgzZw7e+ta3YsaMGbnu484770S5XMbChQux7777Vv+df/75ue6HENIL45qQ1oIxTcieRxBFUdTsQRBCCCGEEEIIGRrwl0RCCCGEEEIIIVU4SSSEEEIIIYQQUoWTREIIIYQQQgghVThJJIQQQgghhBBShZNEQgghhBBCCCFVOEkkhBBCCCGEEFKFk0RCCCGEEEIIIVU4SSSEEEIIIYQQUoWTREIIIYQQQgghVThJJIQQQgghhBBShZNEQgghhBBCCCFVOEkkhBBCCCGEEFLl/wO8XZNjScL/iAAAAABJRU5ErkJggg==",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 1000x300 with 4 Axes>"
       ]
@@ -1305,7 +1288,7 @@
     }
    ],
    "source": [
-    "dataset['psi'].isel(time=[0]).plot(row='time', col='run')"
+    "dataset['psi'].isel(time_eq=[0]).plot(row='time_eq', col='run')"
    ]
   },
   {
@@ -1327,7 +1310,7 @@
     {
      "data": {
       "text/plain": [
-       "<xarray.plot.facetgrid.FacetGrid at 0x7ff7e34157c0>"
+       "<xarray.plot.facetgrid.FacetGrid at 0x7f131642cc50>"
       ]
      },
      "execution_count": 12,
@@ -1336,7 +1319,7 @@
     },
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAZsAAAEiCAYAAAAvXX9FAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8g+/7EAAAACXBIWXMAAA9hAAAPYQGoP6dpAABFxElEQVR4nO2dfXhU1Z3Hv3cmmfCSF4WGRAQUCoIUggiIwZdii6JSKpal1dKGularGygvalf6ogLaaCkCVhekVbHrg2l1Bau1KMsS2D4Eqkj6AFpaXTC4kkC38hZNJjP37h/IMPd3MvfMmZdMwnw/z3MfOHPOuffcO5P5zfme3/n9LMdxHBBCCCFpxJfpARBCCDnzobEhhBCSdmhsCCGEpB0aG0IIIWmHxoYQQkjaobEhhBCSdmhsCCGEpB0aG0IIIWmHxoYQQkjaobEhGaGmpgaWZeHIkSOZHgohpB2gsSFpZ/z48ZgzZ47rtXHjxuHgwYMoKirKzKCSoLm5GZWVlejZsyfy8/MxdepUNDY2evZ56aWXcM0116Bnz56wLAt1dXXtM1hCOgg0NiQjBAIBlJaWwrKsTA/FmLlz5+KVV17BCy+8gM2bN+Ojjz7C1772Nc8+TU1NuPzyy/HII4+00ygJ6WA4hKSRGTNmOABcx759+5xNmzY5AJyPP/7YcRzHeeaZZ5yioiLnlVdecS644AKna9euztSpU52mpiZn9erVznnnneecddZZzqxZs5xQKBQ5f3Nzs3PXXXc5vXv3drp16+ZccsklzqZNm9J2P0eOHHFyc3OdF154IfLau+++6wBwamtrtf337dvnAHB27tyZtjES0hHJyaCdI1nA8uXL8de//hXDhg3DwoULAQDFxcXYv3+/0vaTTz7BY489hurqahw/fhxf+9rXcOONN+Kss87Ca6+9hv/5n//B1KlTcdlll+Eb3/gGAGDmzJl45513UF1djd69e2Pt2rW49tprsWvXLgwaNKjNMV133XX47//+75hjPu+887Bnz54263bs2IHW1lZMmDAh8tqQIUPQr18/1NbW4tJLL4330RCSVdDYkLRSVFSEQCCAbt26obS01LNta2srVqxYgc9//vMAgH/6p3/Cv//7v6OxsRH5+fkYOnQorrrqKmzatAnf+MY3UF9fj2eeeQb19fXo3bs3AODuu+/G+vXr8cwzz+CnP/1pm9f51a9+hU8//TTmOHJzc2PWNTQ0IBAI4KyzznK9XlJSgoaGBs/7IySbobEhHYZu3bpFDA1w8gv8/PPPR35+vuu1Q4cOAQB27dqFcDiMCy64wHWelpYW9OzZM+Z1zj333BSPnBCig8aGdBjkjMKyrDZfs20bAHDixAn4/X7s2LEDfr/f1S7aQEmSkdFKS0sRDAZx5MgR1+ymsbFRO3MjJJuhsSFpJxAIIBwOp/y8I0eORDgcxqFDh3DFFVfE3S8ZGW3UqFHIzc3Fxo0bMXXqVADA3r17UV9fj/Ly8vgHT0iWQWND0s7555+P7du3Y//+/cjPz0ePHj1Sct4LLrgA06dPR0VFBZYsWYKRI0fi8OHD2LhxI8rKyjBp0qQ2+yUjoxUVFeHWW2/FvHnz0KNHDxQWFmLWrFkoLy93OQcMGTIEVVVVuPHGGwEA//jHP1BfX4+PPvoIwEkDBZycKXFGRLIB7rMhaefuu++G3+/H0KFDUVxcjPr6+pSd+5lnnkFFRQXuuusuDB48GFOmTMGbb76Jfv36pewakqVLl+IrX/kKpk6diiuvvBKlpaV46aWXXG327t2Lo0ePRsq/+93vMHLkyIgBvOmmmzBy5EisXLkybeMkpCNhOY7jZHoQhBBCzmw4syGEEJJ2aGwIIYSkHRobQgghaYfGhhBCSNqhsSGEEJJ2aGwIIYSknazb1GnbNj766CMUFBR0ylwqhJDEcBwHx48fR+/eveHzJfY7u7m5GcFgMK62gUAAXbp0Seg6ZyJZZ2w++ugj9O3bN9PDIIRkiAMHDqBPnz7G/Zqbm9Gzaz4+QXyhl0pLS7Fv3z4anM/IOmNTUFAAAJj16/9CXreTwRr9Sc5wfD6z/n6D9rq2fs0PNJNrJdI+k4Rt7/3I+nrv9l79bdlW7I0OhtwnD2nOLc8XFIOT7YMi1pzs3xKKPZ5WOTZ5LVkW7e2wo6n3LoeV/u5yqFXcm8f55LXDwWZ329DpWYjd+ika1/0g8h1gSjAYxCcIowLnIqBZgQjCxq8b/hfBYJDG5jM6jLF5+OGHMX/+fMyePRvLli2L2e6FF17AT37yE+zfvx+DBg3CI488guuvvz7u65ySzvK65Z82Nkl+wabzC11vbJKrT7Z9Jkne2HgbAK/+uraW+BL0m15LY2wQCnvW2+L6TlTZEXUQZUtcW96LNDayXhorWa9Yeb/7fI7PfW9e/R2fuE+Iz6/ljgYOIGn5vKvlR8DyNjZ+xzqZl5ZE6BAOAm+++SaefPJJlJWVebbbunUrbr75Ztx6663YuXMnpkyZgilTpmD37t3tNFJCSLbjswC/5uhEv9najYzPbE6cOIHp06fjl7/8JR588EHPtsuXL8e1116Le+65BwCwaNEibNiwAY8//rhxQMOw7Wh/+Z4inTOfdM9c2nNmk6wcKZHSlHI9zViTndmYtJVlOTYpq8n2UmZTru9LbhbnhTpWd1nOBGwxm0geMTux4/8N7Ij7dnIC7nKU3Gi1MctJhIDPQkDzWXccS95W1pPxmU1lZSUmTZrkyukei9raWqXdxIkTUVtbG7NPS0sLjh075joIISRR/JYV10HcZHRmU11djbfffhtvvvlmXO0bGhpQUlLiek2X+72qqgoLFixIapyEEHKKU1KZZ5v2GUqnImPG5sCBA5g9ezY2bNiQVm+N+fPnY968eZHysWPHFNdnnQTSnmRaVtP9IvO14y+2ZK/lt1InTZnKaLrPlOJdJmS2HNG+RTociGcjvdck0dfXnVui21WS7JeI9KTz53gLLtHSmU+4Y9q2+2velxslqzmhBEfoJp6Zi186KpDMGZsdO3bg0KFDuPjiiyOvhcNhbNmyBY8//jhaWlqUvPKlpaVobGx0vabL/Z6Xl4e8vLzUDp4QkrXkWBZyNcYmTGOjkLE1my9/+cvYtWsX6urqIsfo0aMxffp01NXVKYYGAMrLy7Fx40bXaxs2bGDud0JIu6HzRItHZstGMjazKSgowLBhw1yvde/eHT179oy8XlFRgXPPPRdVVVUAgNmzZ+OLX/wilixZgkmTJqG6uhpvvfUWVq1aZXz9aG80U6+m9tyXYyqLmcpkplKV1x+R6ebW9CO8qMT7mCvqxfYRtwwnfvtITzlTWU3KZjqZTdYrsprmcyA9zJIh5bKa24EMoaDcoe/+TSw90Fx14n1xomQ1y5ealZSTxkQnoxFJxr3RvKivr8fBgwcj5XHjxmHNmjVYtWoVRowYgRdffBHr1q1TjBYhhKQLzmwSI+P7bKKpqanxLAPAtGnTMG3atPYZECGECHLj2GcTdmhtJB3K2HQUkpXNkpHJjGUx2d7Qm0z3C0wnjXldL3lvMrP2UgZTEPN425Gymjzf6XqtBKc5t/QWM/VO030ulM9sKPbnQj2XvFZYlL3fCJ2s5lNkL423WY6Qwhz3eHxR3mryOfuFd5qTc/orzrJT83VHb7TEoLEhhBADuM8mMWhsCCHEABqbxMhaYxOyHSUS7ylSvanTSwJJVqLTeZeZymSm3mrJeKeleoOo6YdZSjBKffSmTo0rjTyX9FbLFc+iVZOiwNQ7TSe7RW/kVCQ2rXTrvRlStv/UszUQUvLBeHubqd5nUVGfbe++VtTYrBT9XVNGS4ysNTaEEJIIuZaFgMZwhWwaGwmNDSGEGBCXjEZbo0Bj08HQeqcZymamMpmp7OYlhSljMd1A2s6bRJUw/VHCuyqTuZvKeiWTp5DhckX7VuGtlutzd2i1vWWygIgn5iWrKZ8p7YZP99eE9FbTYSqr+cS9+DzkTkd8g3lKcLq0tnESl4zGqM8KNDaEEGIAZzaJ0aEjCBBCSEcj1+eL6zBhy5YtmDx5Mnr37g3LsrBu3TpXveM4uO+++3DOOeega9eumDBhAv72t7+l8K7SD40NIYQYYPmtuA4TmpqaMGLECDzxxBNt1v/sZz/DY489hpUrV2L79u3o3r07Jk6ciObm5lTcUrtAGS0BTHf9m7g+Z3qNRrcm47UOI8eejNt0PP1Tjtgc4eUarVuzkes/sl66Putco3NF+BPTNR2Tz5wk1esPcg1HDZ4p6j3WYSzxc1m6N7tcn1N0Hz6/lXK3/uuuuw7XXXddm3WO42DZsmX48Y9/jBtuuAEA8Otf/xolJSVYt24dbrrpJqNrZQrObAghxAS/D5bmOOWMIFPSt7S0GF9u3759aGhowIQJEyKvFRUVYezYsaitrU3ZbaUbGhtCCDHAn+uDP6A5ck9+tfbt2xdFRUWR41S6FBNOpb0vKSlxvV5SUhKp6wxQRmsDU5khmfMnK5vlCnfOdMpkbY3XJaMZ94Un7Z2i2ls200QbENWmMppsnyPKIRnI0/KW2eSzS0ZGk2mkJaZ/H/JeFZlMCcQZO0qA2hcx26bK9dny+WBpHACsz97vAwcOoLCwMPJ6NmcNprEhhBADfH4LPs2Co++zcDWFhYUuY5MIp9LeNzY24pxzzom83tjYiIsuuiipc7cnlNEIIcSAdHijedG/f3+UlpZi48aNkdeOHTuG7du3o7y8PGXXSTec2aQBE5mivWUz6fWkk7pM2svb1N6b5qeO3put/bzV9DKalMW863UymqxvlYE1tTJb7PcxIB78p5r8NZ8qaZrd6CMQpJbo6AwyuoDMnRMdjcDRRVONE3/AB7/fO66zX5tcyc2JEyfw3nvvRcr79u1DXV0devTogX79+mHOnDl48MEHMWjQIPTv3x8/+clP0Lt3b0yZMiWRW8gINDaEEGKAZVnaCNKWYSDOt956C1dddVWkPG/ePADAjBkzsHr1avzgBz9AU1MTbr/9dhw5cgSXX3451q9fjy5dupjfQIagsSGEEAN8fh98mmm5zzGbRY0fP17ZbxSNZVlYuHAhFi5caHTejgSNDVKQU8Y0dbNLekqt91iO+CNIVoZT27vro+WaXL9urIabPsXfq659OlU1jYqWgIzmbiDby3pbBKeUgTubQ94yW7SM1iz6qvKmWaBN3edfSoSmZRnU1O/38kYTfaPkLCdFXqXxrMlYTvtKi50BGhtCCDGAxiYxaGwIIcQAX8APf463g4DPZ+YgkA3Q2MRBMjJZm+29NkIq3mDespipbKbzLpNSmOLV5CGV6WQy2VfKXj5NKl2lvebHYyplNb2M5r6YlOxtuE+Q50hZTG4C9Y59Jr3T5PvcHIrdXn7GWizpyQZ3WfP51nmrKXmCNOhktei1DbnOEZYSYdTNOClyR/ZZqY+Nlg3Q2BBCiAGR+GdebWxuYZTQ2BBCiAFxRRAwdH3OBmhsCCHEAF/AD1+uZs3G4pqNhMYmAZJdw4nWc3X5Z9p7jUZZIxJqgKz3ebg+S9laXdNx1+vWcHQyuHI+7+ZJIb9K5LKEXOMRns1KvQx2KSMW5Ipfyq0+b1dq+b5Hu0br8g5p1xsC3tUS3ZqNrO8W0KzZRJXDfrHeJD6wLlfocIrWbPyIY2aTkkudUdDYEEKIAZYvjggCKY4UfyZAY0MIIQb4fHFEEEhRHLYziaw1Njk+K2aejmQjCij1HtKYzl1Yldnc59bJZroIAFIWM5XVXHlSNDKZrNe5MsunKp+NKruJ/obup/L6Jh670gVXlc3cJ1ciDsh8OLKs7PI3k9lM0ncrrs8a93wdWhlNib7gfnpdA35RHyWjiS91OxzbFTplaaEDfvgCmjUb5RNAstbYEEJIIsSVPE1Tn41k9ImsWLECZWVlkQRD5eXl+MMf/hCz/erVq09GXI06OlPUU0JI5+dUIE7dQdxkdGbTp08fPPzwwxg0aBAcx8Gzzz6LG264ATt37sQXvvCFNvsUFhZi7969kXKqpsZeJBt400sa03uHmXkOqWX32ExlM11Egei/KZ1Mpk0brXinmXqvmfVPBlUZEhEENLJa2PZuHxayW9gnpSYhmwlXWymzuWU0iDp3Wfc+maKLCNDVji2TtVUORgUlDYXcN+PlneakygDEsakzVSmozyQyamwmT57sKj/00ENYsWIFtm3bFtPYWJYVSZNKCCHtjeWLI4IAZTSFDvNEwuEwqqur0dTU5Jnq9MSJEzjvvPPQt29f3HDDDdizZ087jpIQku34cnPgy83VHFwOl2T8iezatQvl5eVobm5Gfn4+1q5di6FDh7bZdvDgwXj66adRVlaGo0eP4uc//znGjRuHPXv2oE+fPm32aWlpQUtLS6R87NgxpY2pTKbtr/XusWLW6WQxvfeZmSzWJUd6m8Uvm8l6U5lMvZa7XieDmbaXJCMO6RzVlMCcUiYTz1HJfwNZ7z5fSJHN3O1bxQmiN8iqwVRFWmjTTZ4CmX8m7OFN1lY5KKSxgIiwHMg5fXNB8fn18k5zclLz2zqu2GiU0RQy/kQGDx6Muro6bN++HXfeeSdmzJiBd955p8225eXlqKiowEUXXYQvfvGLeOmll1BcXIwnn3wy5vmrqqpQVFQUOfr27ZuuWyGEZAE+ny+ug7jJ+BMJBAIYOHAgRo0ahaqqKowYMQLLly+Pq29ubi5GjhyJ9957L2ab+fPn4+jRo5HjwIEDqRo6ISQLOTWz0R3ETcZlNIlt2y7Zy4twOIxdu3bh+uuvj9kmLy8PeXl5SY1JJ7OZeJ/Jet2mTZ3UZCqbqZs0E5fN5HikpKcbu6yXYo2uv26TpyUDkDneG+0sTb3rVJbmy0Q8Z9lekZJkbDRZrzw7dzkkUsrI9ynaWy2k3KZbppJ9JXJDqvEGVU3sM6XssekzKG7GyztNF88sXnw5Odo1GZ/URUlmjc38+fNx3XXXoV+/fjh+/DjWrFmDmpoavP766wCAiooKnHvuuaiqqgIALFy4EJdeeikGDhyII0eOYPHixfjggw/w3e9+N5O3QQjJIrhmkxgZNTaHDh1CRUUFDh48iKKiIpSVleH111/H1VdfDQCor693aZ8ff/wxbrvtNjQ0NODss8/GqFGjsHXr1pgOBYQQkmpobBIjo8bmqaee8qyvqalxlZcuXYqlS5emcUSEEOJNPBECGEFApcOt2bQXfp9l7OKc8LU81jm0rs6awJry3KmMCNDW9b3uJUd3bsP1KGVNxw6LsvQXFgsXYg1GuyZjsGZjadZs5BqNbO/zuddJcnzuP0VbvG/quoX7eq3iWYfEuofl+sy1PeZYY00WdY3H2xVarsMEPFyhAznu91y6QodaY6+PJoov1x/Hmk3Ysz4byVpjQwghiUAZLTFobAghxADLiiPqc4pnh2cCNDYwd202jRggiZ7O66QjbWBNjXSVatlM5gCK7q/2dZ9b7auRyUIh9wkUGU3USxlMlm2NrGYgoynILxdZll9OQjaTZb+Q2Xyy3u+utywZeFMMJ1pGgxly570i6Wlcn1s1rsxBsetf5q+Rslp0+zwxNimjBaM+oKlaR7H8fvj83vlsLE19NkJjQwghBvgCOfAFuGZjCud6hBBiwKnkabojXh544AElT9eQIUPSeAeZgTObFGASMUCWdd5nUmqS3mW6fDjmEQHil83keJW2UkaT0k641f2CKCsymShbYW+ZTeuNlkYZTWr2SsQBIZMpsprfXbZEveXPFacLuLvL6ArRbZEs7rGr3mbu1q0yOKZo0CoCbQZzvNNCt0TJal5BOgHAHyWrpSqfTTocBL7whS/gP//zPyPlnJwz76v5zLsjQghJI5bPiiOfjZmbdU5Ozhmfp4syGiGEGJBqGQ0A/va3v6F3794YMGAApk+fjvr6+jSNPnNwZhMHSee78Whu6n2myljespqamlmzkVJ7vdgym5LCWmR9scJBURYympTJQkFRr/FG03inKbKbDNQp8ZLVdK6tyoMXf2pSdhMymRMWZSGbqZKg+15yRHuvNMXyLpWy413O88tNmu76VuEhJr3TckUq54BoL8vRHmiyzsvj0UnRpk4rJwArJ6Bpc/KeZP6stgIDjx07FqtXr8bgwYNx8OBBLFiwAFdccQV2796NgoKClIy5I8CZDSGEmODzxXcA6Nu3ryuf1qmgwtFcd911mDZtGsrKyjBx4kS89tprOHLkCH7729+2952lFc5sCCHEAMvv1+6jOVV/4MABFBYWRl6PJ93JWWedhQsuuMAzT1dnhMYGqZfJlLS6Hl5aSupkzaZKtb33tZV6pZzchlXXvZjKZrJeJ5vJ9lI2k3sbpIym2wQqvdlMkN5lUiYT9+4o3mdibLLe1JNOlHNyor7kDD2llLRAMj+NcDNsFSms5cZLKaOFhLeazjstWjoL+L0lt+iylaK00PD51fe7rTYACgsLXcYmHk6cOIH3338f3/72txMdYYeEMhohhBhg5eTAysnVHPH/jr/77ruxefNm7N+/H1u3bsWNN94Iv9+Pm2++OY130f5wZkMIISZYccxsrPjD1Xz44Ye4+eab8X//938oLi7G5Zdfjm3btqG4uDjJgXYsaGwIIcQEAxktHqqrq5McUOcga41NMvlsdDna5bqKV702aKdmh7/O1dkHUS/Ob+4KLVyfo4rJrtFo22siBqhrOGKdJCRdrd39nSTiWSkLxkqEABE4M0e4JtsyMKf3+pNx9IOoNSTX+g0AR7zJ0iFcLKkogTRzHXf/LnKNRkTmzPWJ9SQlR5P73r3WFdU6X8y2dqpcn+PYR2O6zyYbyFpjQwghCZGTC2j22SAn5F2fhdDYEEKIASauz+Q0NDZxoJPbdOlmde7N7rby2t7nUmQzTX81YoF3vc4V2rKjpCnpOpysbBbSBOYMtbiKWpmsVVMvxy/TTnvgCNnE0shoyBUymvilbOWK/RhCJpNSl/KJ8sqvI4OtCllNpmmWn6EcIZvJiAFK8FiZqlwjm8l6L3dmk9xTqZLRojdterYhLmhsCCHEhBQ7CGQLNDaEEGKA5c9VHTzaaEPc0Ni0QaJeapH+Bt1Nvc0UWU16m8mcMfJ6oizHqnqryf4yKuNpCUTKXNp8M5r2prKZ0yoiEMh6WVbGk7iMJmUTR3qfyV+6iuTo7QlniV30UiZTQop6yGgy144MAio9unJlxABFNhOym637TLv7S9nMZ4mcNB4ytC7VeHS9kyJly/L51fezjTbEDY0NIYSY4PPFIaNxzUZCY0MIISbQQSAhaGwSQLdpU6JIUdGbOjX5bJLdxKm29y5LiUPpbwuPrmgvKV0+GSmbKflovGU2nWzmBJs925t6pyWFxvtMSnjyq0mTaUeRwtQPgny2p8fjaN4Hv9/tnWaJ0cjPiCLVKjKZoVSs+Qx6b+pMvzcaXZ8Tg8aGEEJMyAnEsamz1bs+C6GxIYQQAxiuJjFobFKALlZaOlEkDW2sNV1/b5lOkcZcMpomP4ySP8ZbZjP1NtNdXyubKZs8DbzRBJaIbaZswhSesfJelbdRyjJKbDVvCdIVe02TUlq3UVitl58ZKbsZymYe+Z8kuk3HaSHFUZ+zBRobQggxwbJU1/K22hAXNDaEEGKA48tRM6220Ya44RNB8ps42xPTH0ym7RXJROYAlkRJMpYuzL1GvtGmaRaylvTockTsNW0sNI23mmedRkZRZDNF0hMNlE2fMq6/TKcgyj7vlAOu8Uh5UJFGpawmZDCZ/tvwM6bLSq3z9sz436vli2NmwzUbSUafyIoVK1BWVhbJ011eXo4//OEPnn1eeOEFDBkyBF26dMHw4cPx2muvtdNoCSEEn8locRzERUaNTZ8+ffDwww9jx44deOutt/ClL30JN9xwA/bs2dNm+61bt+Lmm2/Grbfeip07d2LKlCmYMmUKdu/e3c4jJ4RkLac2deoO4iKjT2Ty5Mm4/vrrMWjQIFxwwQV46KGHkJ+fj23btrXZfvny5bj22mtxzz334MILL8SiRYtw8cUX4/HHH2/nkRNCspVTaza6g7hJqbF59913MWDAgIT6hsNhVFdXo6mpCeXl5W22qa2txYQJE1yvTZw4EbW1tTHP29LSgmPHjrmOzoTPslyHvr37kCQ903cc9+GB5dieB+Rhim27D237sPswaZ/Kc6XgfI5tuw4drueeZnywXMcZx6k1G91BXKT0iQSDQXzwwQdGfXbt2oX8/Hzk5eXhjjvuwNq1azF06NA22zY0NKCkpMT1WklJCRoaGmKev6qqCkVFRZGjb9++RuMjhBAXNDYJYTTXmzdvnmf94cOHjQcwePBg1NXV4ejRo3jxxRcxY8YMbN68OabBMWX+/PmucR87dowGhxCSMI5lwdEYE4cOAgpGxmb58uW46KKLUFhY2Gb9iRMnjAcQCAQwcOBAAMCoUaPw5ptvYvny5XjyySeVtqWlpWhsbHS91tjYiNLS0pjnz8vLQ15eXsx6QE2D25GwFamq836I5R9o572TzofuyzGV2JowojIfjtJfI896/b2Gda76qYCZOhPCyNgMHDgQc+fOxbe+9a026+vq6jBq1KikBmTbNlpaWtqsKy8vx8aNGzFnzpzIaxs2bIi5xkMIISmH+2wSwuiJjB49Gjt27IhZb1kWHINfFvPnz8eWLVuwf/9+7Nq1C/Pnz0dNTQ2mT58OAKioqMD8+fMj7WfPno3169djyZIl+Mtf/oIHHngAb731FmbOnGlyG4QQkjCO5YvrIG6MZjZLliyJOesAgBEjRsA2CF546NAhVFRU4ODBgygqKkJZWRlef/11XH311QCA+vp6+KL81ceNG4c1a9bgxz/+MX74wx9i0KBBWLduHYYNG2ZyGylHTt1zMygQ6RTBpFUGAy1aK5sl+wcp9zLIVMx+GXFA1IvTJfVolDTQurH5ves17eX55bP2/LKTY1P6up+MIzzY5F+4EghCZg7XyWKyvfgQy/poGU0ngZu0jRsrjn00NDYKRsbGa20kEZ566inP+pqaGuW1adOmYdq0aSkdByGExA1ltIRIeufRiRMnlNlMLAcCQgjp9PhyTh66Np2MefPmYdGiRejevbvW8/jRRx81Pn9CT2Tfvn2YOXMmampq0Nx8OhWv4ziwLAvhcByb3EhCqBKFWXuJ7C/LjtgZ6iWFGctmUpKT9VJKytXkcBHBKB2fWfDMZGQ1rWyWKzI7inw0lsxPI8cqM0P6Ne3ll110vaxTZDN3tfKZkLKWeEG2l95nreLHqZTZFFlN1ntIY7IciiqHUrSf9Ux1fd65cydaPwteu3PnzpjtZGDWeEnI2HzrW9+C4zh4+umnUVJSkvDFCSGk05EmGe2JJ57A4sWL0dDQgBEjRuAXv/gFLrnkkgQHac6mTZva/H+qSMjY/PnPf8aOHTswePDgVI+HEEI6NvHEejL8Af6b3/wG8+bNw8qVKzF27FgsW7YMEydOxN69e9GrV68kBpsajh07hv/6r//CkCFDMGTIkITOkZCxGTNmDA4cOHDGGhud14rpRksvWUBey/ZJScHMg8ZUNlP7O6IsJBYpwURJWTopScnRIj2qxLmtHO/8NYoUBUOEd5ojc8a42hpKcpo0zlI2s4RMZuV18Wwvn5Xjz/Gujyp71QHqZ87LGwzQy2yqbCbqw96yWlDUh13SmLeMlg5vtHQkT3v00Udx22234ZZbbgEArFy5Er///e/x9NNP49577014rIny9a9/HVdeeSVmzpyJTz/9FKNHj8b+/fvhOA6qq6sxdepU43MmZGx+9atf4Y477sD//u//YtiwYcgVWnpZWVkipyWEkI6PgYwmA/+2FdEkGAxix44drj2FPp8PEyZM8AwynE62bNmCH/3oRwCAtWvXwnEcHDlyBM8++ywefPDB9jM2hw8fxvvvvx+xwsDpDZ10ECCEnMmcdBDwnkefqpdxGO+//3488MADrtf+/ve/IxwOtxlk+C9/+UvyA06Ao0ePokePHgCA9evXY+rUqejWrRsmTZqEe+65J6FzJmRs/vmf/xkjR47E888/TwcBQkhWEUd2jUj9gQMHXFtBdHEaOwp9+/ZFbW0tevTogfXr16O6uhoA8PHHH6NLly6a3m2TkLH54IMP8Lvf/S4SQLMzEraduDVcpZ0mxp7UuFPpcS/1bLmmIoMg6vR01c1VnE808Cnuy1FlxaU25L6WrBc70y3hugxHruEId1+BdiVNrhGFWr3P71qn8b62NgKAPLdcsxGu0VbA/Qft+L1dpyHrvVynRZ1tucthuUaiW8NR6t3l1rAsy/PDu95jHSYo/JmDoXDMtqlaswk7jnYt9VT9qZT3Xnzuc5+D3+83DjKcTubMmYPp06cjPz8f/fr1w/jx4wGclNeGDx+e0DkT2ub6pS99CX/+858TuiAhhHRmbCe+I14CgQBGjRqFjRs3nr6GbWPjxo0ZCzL8L//yL9i2bRuefvpp/PGPf4yoVwMGDMCDDz6Y0DkT+tE9efJkzJ07F7t27cLw4cMVB4GvfvWrCQ2GEEI6Oo7jaAMOmwQkBk7u3p8xYwZGjx6NSy65BMuWLUNTU5NrXby9qaurw9KlS3HTTTcBAAYNGoQ5c+Zg0qRJCZ0vIWNzxx13AAAWLlyo1HVGB4Fkp9cycKCcL3rtgNa5Oqt93ef2i/6Kq7IcqyhLCUMqhLJepqb2R0kyjpC95K53JSWxI913vbd4S1lMSlWKdCTdj6Vrs9yVL9ybFVdrr2tLpEymuEKLZyNdmzWymax3REQBJze2DCf7torPb6t4G0JSBpO79MVjahHSlnR9lv3V9sL1WZHKTpelW7RX21CKQgjEM3Mx/Ur5xje+gcOHD+O+++5DQ0MDLrroIqxfv15xGmgv7rvvPjz66KOYNWtWZHZVW1uLuXPnor6+vs3vfh0JGRuTyM6EEHKmkY4UbTNnzuww6VJWrFiBX/7yl7j55psjr331q19FWVkZZs2a1X7GhhBCspV4nIs6cvbfeGhtbcXo0aOV10eNGoVQKNRGDz1xG5vHHnsMt99+O7p06YLHHnvMs+33v//9hAbTUdB+kDT5a3QRBlwRBDRBD6VsJmU3xRtN098Sv8n8QhaT9y6lKxGXE74oDzOtTCZlK4FxIEwZ+FMJ5Cn1TPkww55lT4d+w7TAaqBNzY5/jbeZIpvlyPrY7UPiwcpd+LKsyGZKvhnZ3v2cpUzWrJHZdNJY9Pm86gC3dBbS5aOOExuqHN1Wm87Mt7/9baxYsUKJ7rxq1apIcktT4jY2S5cuxfTp09GlSxcsXbo0ZjvLsjq9sSGEkFiY7LPpzDz11FN44403cOmllwIAtm/fjvr6elRUVLhSEMSbbiBuY7Nv3742/08IIdlEOhwEOhq7d+/GxRdfDAB4//33AZzcD/S5z30Ou3fvjrQz2dAft7HRJdOJvviSJUviHkCmSGZTp1KW6o30KFO81U6/QV6eaoC5t5puk6cjxCF5Pp/ob8mhS5kt6l5ylE2b3pKcqUwGK+gu2mLTqO2d00WV+TRlo7EZpmkW3mlqYE3v/DVa2SzHvVM9FOUiGdR4l8l66cQl23/S6pYfVZnM2/tMlj8Nhr3LUdeTmzilrBa9QVVuVk0Uk02dnZWMphiQyXTefvtthEKhSOTnv/71r/D7/Rg1alRqR0gIIR0IB3HIaO0yks5F3MYm2tI9+uijKCgowLPPPouzzz4bwMmYObfccguuuOKK1I+SEEI6CLbjtOEEpLYhbhJyfV6yZAneeOONiKEBgLPPPhsPPvggrrnmGtx1110pG2B7oJPJdOi8z9RYUqf/LyNuqSlyzTZ5+oTuZdnuscj4RNI7TamX3mceMptPeGApDlviZDpZzQoLmUxKUUJGU2QwbX0KfYZk3DXFM87b+0w+LKXeVDYTDzNaGgtqZDOdrBYMectin7TKslvqapHSl4H3maz3qgOAcFQ5nKJNnQ70MxeaGpWEjM2xY8dw+PBh5fXDhw/j+PHjSQ+KEEI6Krat/shrqw1xk1AgzhtvvBG33HILXnrpJXz44Yf48MMP8R//8R+49dZb8bWvfS3VYySEkA6DDSeug7hJaGazcuVK3H333fjmN7+J1taTYdpzcnJw6623YvHixSkdICGEdCSyZZ9NqknI2HTr1g3/9m//hsWLF0d8sD//+c+je/fuKR1cR0G7piPWJqSrs23FXneR55KBLnURAVot9wt+uXbgeLs6W6JeeFrDkmtCBr/YcpU1nPhS6Z7uINZc5BpMWDx4ZU3GO3+OQhKuz8oajXIvYk1G1ss1GblmI1yfbVGWu/q91mGUNRhNWe7w17k6yzUZJYJAOHFX55P1oZht5bqMHXUvtlw8TZBs2GeTDpKKjda9e3eUlZWlaiyEENLhyYZ9NumAgTgJIcQAymiJkbXGJmQ78H821/XrIgQYBuaU7sGKe7NHPhtdRAGdbCZT8Cqu0BpZTZHR5K3bxnEAIvhFV79w1/WF3WmaHek7LWUxKbNpIgI4Qg5SIgoYoLo262Q04fqsRBQQEQJEeyV4prJLX9R7BNPUy2ga12VNvXR9ljKbTjb7xKBeujqHxFhCUW3Dwdj5iUzgPpvEyFpjQwghiRCOw/U5RZFxzihobAghxADObBKDxiYBdDKbX2hPXjKb3K0tZa9WUfaLhDI62UzWK0FaNREGFJlMNnD19/4DEwqe0trvc0tJiuebT3qbSW800d7xls2S+TrQep+JB614l4n2toinID8X8jOmymTwrI+WytQIAWaymKyX3mLSG60p6JY7pSx2vFnUe3ifASLVs5TNxFhdgThTtNMyZDuKh15bbYibhDZ1poqqqiqMGTMGBQUF6NWrF6ZMmYK9e/d69lm9ejUsy3IdXbp08exDCCGp4pSMpjuIm4wam82bN6OyshLbtm3Dhg0b0NraimuuuQZNTU2e/QoLC3Hw4MHI8cEHH7TTiAkh2c4pGU13EDcZldHWr1/vKq9evRq9evXCjh07cOWVV8bsZ1kWSktLk7p2dD4bbb6aZAN1emzyVDIVG3qnyTTNUjZTJD35i0vJxSPqdd5n0f1t71w6trJhVYxNIxlaYrDSm83SyGi6d02R2aQ05mosN3UK2UwJviqehXgfpMSjpl52t9elalbqo9QmZRNm2Ew205WbFBks8U2bgOqd1hJVDgXFJk4P77Sw1BoThPtsEiOjMxvJ0aNHAQA9evTwbHfixAmcd9556Nu3L2644Qbs2bOnPYZHCCFotR20hjUH12wUOoyxsW0bc+bMwWWXXYZhw4bFbDd48GA8/fTTePnll/Hcc8/Btm2MGzcOH374YZvtW1pacOzYMddBCCGJ4sQhoTmc2Sh0GG+0yspK7N69G3/84x8925WXl6O8vDxSHjduHC688EI8+eSTWLRokdK+qqoKCxYsSPl4o1HTRHtv8oxOGy3rpFwi0zBL7zSJlM1Urxnv3xc+mWVG6moespribSZVLXHpsNzkaXlvOJWbQpVnpaRDd19Qmy3dQzZT1EW5f1RIcPKHreyvfGaUGHjesphsr5PRonPQmG/S9C6bxjpTvM8MN3VGS2OqN5rc1BnljRZMlYymPv+22hA3HWJmM3PmTLz66qvYtGkT+vTpY9Q3NzcXI0eOxHvvvddm/fz583H06NHIceDAgVQMmRCSpdBBIDEyOrNxHAezZs3C2rVrUVNTg/79+xufIxwOY9euXbj++uvbrM/Ly0NeXl6bdYQQYkpr2EarxrdZV5+NZNTYVFZWYs2aNXj55ZdRUFCAhoYGAEBRURG6du0KAKioqMC5556LqqoqAMDChQtx6aWXYuDAgThy5AgWL16MDz74AN/97nczdh+EkOyBMlpiZNTYrFixAgAwfvx41+vPPPMMvvOd7wAA6uvr4YsKcvjxxx/jtttuQ0NDA84++2yMGjUKW7duxdChQxMeh9S7TQNzmkYUiNb7vXLdnCzDqF7nBSMjDPhkBAG5JiTXaKRrth27qVKWYxFluaYjox3IMIqyXl2z8UbX3OtJKmsy0o1bed8g6jWfIU17sUlfWZtTc8zYMeuSXcM5IdZgZNk0QoDXGs3JctQ6TFi6OntEEEjRbIPhahIj4zKajpqaGld56dKlWLp0aZpGRAgh3ti2o+yda6tNujj//POVjexVVVW4995703bNVNBhvNEIIaQzcDI2mrcxSXdstIULF+K2226LlAsKCtJ6vVSQtcbGjoogIHeqpxqvQJw+UacG1hQylyaNtFrvHos8v1bcUlJei+ro6wuJTaakdoQwJZ+6HJp0dZYkK6OZoJPN5FOUk3YlWoJWVnPXK67N4gQyCoCJjCZlLenKrJPNtK7LSUQIANQoASFXBAHvtNDR9XarFGIToyNEECgoKEg6ikp70yFcnwkhpLNwSkbTHenk4YcfRs+ePTFy5EgsXrwYoVBI3ynDZO3MhhBCEiGMOLzRPvtXRixJxVaM73//+7j44ovRo0cPbN26FfPnz8fBgwfx6KOPJnXedENjEwdJe6MZ6DtSbgnpImdqfbyUKyR1Pr9sHlV2REgAv4fn2smuItCmDBoqHpt8irrHquTu0eClfMj3RREjFZnNXVYCcRp6p0npS5XRdN5o4aj/e8tkUkbTyWbS2+xEi2zvLZvpvM9Uj7PoCALeaaHtqL52BrzR+vbt63r9/vvvxwMPPKC0v/fee/HII494nvPdd9/FkCFDMG/evMhrZWVlCAQC+N73voeqqqoOvaeQxoYQQgxoDdvwx7mp88CBAygsLIy8HssY3HXXXZHtHrEYMGBAm6+PHTsWoVAI+/fvx+DBgz3PkUlobAghxIDo9CRebYCTubeijU0siouLUVxcnNB46urq4PP50KtXr4T6txc0NkheBktmk6fi3SVcsJRgk0lu+rSFh5g+UKcMMBn7WShVtpTJZHtv7zTpzSaRsluqiX6UMjeP6m0Wuy/Qlozm7V2myGZ2bO+yk/Xe/aPbK2mbDfPPmG7S1AXe1KV29pLVvPLXAEAo2HK6bdT/k8HE2KSa2tpabN++HVdddRUKCgpQW1uLuXPn4lvf+hbOPvvstFwzVdDYEEKIASfTPuuMTXqunZeXh+rqajzwwANoaWlB//79MXfuXNc6TkeFxoYQQgwIhmz4Qt7WJKipT5SLL74Y27ZtS8u50w2NTQIkLbNFeWl55bppCyWdsGZTZxtncJVyhXuZKu+I7mKTZ3TAMvkYZIpruQFV2ZSp8U6TpHoTp9ejU2QzjawmZTEpg5nLaML7TEhhan1s77TmUGplsxPNra6yztssaLBps+3y6faKxCbu224NRv3fPc5EseOQ0dK9z6YzQmNDCCEGhJ041mwYiFOBxoYQQgzIpINAZyZrjU10fCO/Jti8TjZLxptN8R5LsXea3KMppSx1JdMtqykpB0R9tFQmzy091+RjkBtEFeczcWll6Cn+e/aKZyYfkxrrzMzbTMpeMtmWzrtMbvaVGzGljBYtfelkM31sM7M0zopspkvlbOCdpshowU9jlu1Wd12itIRsQLMmI58/yWJjQwghicCZTWLQ2BBCiAF0EEgMGhtCCDGgI6QY6IzQ2LSBkiY6SR9brzUd0zUZiVzjkc6duWJdRA0gqHGd9nlHHIhel8mVbtECdV3De01HogQBNUS30c5rHUap06zhmK7J6OqViAGaNRu5zyN6HSXZNRpdGmeZj0YGwDSJEACoUQKi3ZvDIrR+tKvzyb5Rrs+h1Lg+B+NYs0nXPpvODI0NIYQYwDWbxKCxIYQQA8KOjbASU1BtQ9zQ2CSAqSu0V31Ys8teLjRqZTc5VvkDS0gUMoJAq+5vRNG6oi4gog3oXJ2l9KS4ZQvk2PyWfBZmvyZNpDFdPhopa8nnrpPJdK7MuogEOnfmaFknWdlM9peSkXFgTSWVs3iWUlZzBeKMLZudPHcwZl2i0EEgMWhsCCHEgLDtaMNCUUZTobEhhBADWkKO4rQgaQ3R2EhobDoYUtoxlYp06WmU8yneZ+6ilK7k+NwynG5XvfQ+E2NRki270clwpt5mEi+pzFQm03unmQXWDIa9ZTMv77OT5z9dn6xspk3jLL5oZSBNNQeNt2ymnv/0+Ly8z2S905oaGY0zm8SgsSGEEANobBKDxoYQQgygg0Bi0NikgGS805Q6jbeZdIMybS/z3yjRLnVZomXQ0ijJQ8pi6mZYb5lNSnwSW+bWEWglRlEtn726qTN2nU5Wk95lpps4pdSlk8lkveIxFnW9VMtmSj4azSZN3aZNr02cJ+tje5iFPbzTnHBqNnWGwvpNnfL9JzQ2hBBihG072pkLZzYqNDaEEGKA4zhwNLNoXX02QmPTwZBSkG6jo2l7XWy05GQ1775Khmkhs+m8xUwxkcnarI/qL2Uufb4as02ZpjKZTjbzkuFMN2lKGUspa2Qy002bqswW28PMq+5k/WnpzElRbDTHduBoZi66+myExoYQQgwIhxxYmn000v2b0NgQQogRlNESI8mg7clRVVWFMWPGoKCgAL169cKUKVOwd+9ebb8XXngBQ4YMQZcuXTB8+HC89tpr7TBaQgg57SCgO4ibjM5sNm/ejMrKSowZMwahUAg//OEPcc011+Cdd95B9+7d2+yzdetW3HzzzaiqqsJXvvIVrFmzBlOmTMHbb7+NYcOGxX1tv2VpXW07I9p8NWm9nmb9R+mczrGo6NZovNyZpSurEkEgzWs0XhEBgHhcpU+v0+jWaII6V2dNYE3TCAG6NSGvKAHS1dkR/vHRZVmXKFyzSYyMGpv169e7yqtXr0avXr2wY8cOXHnllW32Wb58Oa699lrcc889AIBFixZhw4YNePzxx7Fy5cq0j5kQkuXEYWyUTV0kszKa5OjRowCAHj16xGxTW1uLCRMmuF6bOHEiamtr22zf0tKCY8eOuQ5CCEmUsG0jHNYcmnw32UiHcRCwbRtz5szBZZdd5imHNTQ0oKSkxPVaSUkJGhoa2mxfVVWFBQsWGI0lxzANdLJpo9sTRUvWRQjQuDN73buUmkSwg9S7Ohu4MrdZ7xEFoKPLZtKd2cs12lQ2s8W96Xb8S9lM116mjZbuzFL+ckUF8KiT9ZTRMkuHmdlUVlZi9+7dqK6uTul558+fj6NHj0aOAwcOpPT8hJDswrbjcRLI9Cg7Hh1iZjNz5ky8+uqr2LJlC/r06ePZtrS0FI2Nja7XGhsbUVpa2mb7vLw85OXlpWyshJDshq7PiZFRY+M4DmbNmoW1a9eipqYG/fv31/YpLy/Hxo0bMWfOnMhrGzZsQHl5eRpHSmLhkqbEPFnJV6P5+5Mym3It7ZpscrKZSSBOKUfKet2Of13ZVDbTeZhFy3LKjn6NbCbz0ZhGDNA+O1HWSWN2tDQWlt5nYizR+WxSFEEgHHIAf+Y2dT700EP4/e9/j7q6OgQCARw5ckRpU19fjzvvvBObNm1Cfn4+ZsyYgaqqKuTkZO4rP6PGprKyEmvWrMHLL7+MgoKCyLpLUVERunbtCgCoqKjAueeei6qqKgDA7Nmz8cUvfhFLlizBpEmTUF1djbfeegurVq3K2H0QQrKHTK/ZBINBTJs2DeXl5XjqqaeU+nA4jEmTJqG0tBRbt27FwYMHUVFRgdzcXPz0pz9N27h0ZHTNZsWKFTh69CjGjx+Pc845J3L85je/ibSpr6/HwYMHI+Vx48ZhzZo1WLVqFUaMGIEXX3wR69atM9pjQwghiXLK2OiOdLFgwQLMnTsXw4cPb7P+jTfewDvvvIPnnnsOF110Ea677josWrQITzzxBILB1GQrTYSMy2g6ampqlNemTZuGadOmJXVtn8+KeFKZepOls/2ZtNFUyif6oKLpHI0er13fMuCpHKtSL/MIacpSNlPTQJvlnGnxkL4UmUvcjDbQprIJU8pgGu81g0CbJ88Xe6OmznPN5Y3mpMYbzXYcWNrcSSfr5VaL9lhDrq2txfDhw11euxMnTsSdd96JPXv2YOTIkWm9fiw6jDcaIYR0BuywDTukOT4zqH379kVRUVHkOLUckE5ibQ85VZcpOoQ3GiGEdBacOGKfnZrdHThwAIWFhZHXY81q7r33XjzyyCOe53z33XcxZMgQw9F2HGhs4iCdmzZ155YeWj7RXspuSmpmTf90opPNOjM6zzfTsqm3mk42U1IzR0ldUhaTspeuXspuuv6m3mcmZV3bdGDi+lxYWOgyNrG466678J3vfMezzYABA+IaX2lpKf70pz+5Xju1XSTWFpH2gMaGEEIMSIc3WnFxMYqLi5MZVoTy8nI89NBDOHToEHr16gXg5PaQwsJCDB06NCXXSAQaG0IIMSAcCsHxhTzb2CHv+mSor6/HP/7xD9TX1yMcDqOurg4AMHDgQOTn5+Oaa67B0KFD8e1vfxs/+9nP0NDQgB//+MeorKzM6AZ3GhtCCDHAscNauS6dct59992HZ599NlI+5V22adMmjB8/Hn6/H6+++iruvPNOlJeXo3v37pgxYwYWLlyYtjHFA41NGyS7RpNMf9N1jmTXRZLtb+bWndSl4kAuUIlqJV6VWEsQ9xJOoS+2dg1HswYU0vTXrotEnV+7xqJxfVbXXDSuz8oakFhnUaIAiAgCHu1lxAClbVoCcdpxGJv0BUdbvXo1Vq9e7dnmvPPO63BJJWlsCCHEACccVgxkW22IGxobQggxwHHikNFStIH0TCJrjY0/KoKAaf6adCJdats7ooDiKm1wfZ3bta59ssi3UUndI64n00DL/n7r9AlsjYv5mYxjy7J3ENJ0ujq3VXbVeUhyqZLR7FAQsPz6NsRF1hobQghJhEw7CHRWaGwIIcSATDsIdFZobFJAJtNCmwa7TBZ5r9HX00lwuueU6sdoO2KsykY7nbva6fqw0JLkvcp7S/dnQnkfNGW569+LeEOxxCzrdtenUEbLxAzCtsOA5rrSK47Q2BBCiBEn12y8YxhzzUaFxoYQQkwIh+H4NDMXuj4r0NgkQColErk5zy/0GUX90LRPNV6yGeCWk3SymertpTl3ihNgCOcztApdvUU+yqjNjbZ4zq22GKvt/T7oA65610uPSXk+S1dOQl41ldXU+tRt4pTtMyG5OY5eRqPrswqNDSGEGODYtt7Y0EFAgcaGEEIMsEOtsDR5J51QazuNpvOQtcYmx2dFpAmdJ1F7epvJGFn6VMo6LyMhVSUyqCi8PM5y/VJiM5PJVInOu7+8nnxU8tFIz73WsHsAuT65yTMq/bDom+tz9221hLzZgTYK6zANhy+fhe58mcg5k06cOLzROvs9poOsNTaEEJIINDaJQWNDCCEG2HYYFo2NMTQ2hBBigB1qheV4y6ROmGs2EhqbDo6qj+uiTYqiWMiQbqy+JF2no9cm5BqLXFPRrclIdGs0qjuw91gd8QWRq3tWUc++RazvoPXM9TbSRQCQmAbeVK5nHEEgyiU9A+tBjh0GLM5sTKGxIYQQA2hsEiPrjM2pX20tnzRFXtN6o0mvKEPvNfmL2zUb0MS00np0uU+t9A8JrynpJJUjBicnOrl+6bElZhdR9bnamY0Ya7vPbNxlucmzWWSobAqe/sL4JOjOKf9psyiH3F8uzaJ9c7O7vqXFXR8MuuuDor61VZSD7rGGRP+QGE8oqn2o1V0XFm3DYtYWDonMnqK/rSsHm91lEcrFbv1UlN3tnZAst7T5fwBwwsGY5VPSlunMTeK0NuuNCWU0hawzNsePHwcAPPnPX87wSAghmeD48eMoKioy7hcIBFBaWoqGd34bV/vS0lIEAgHj65ypWE6yZr6TYds2PvroIxQUFCQVwqOjc+zYMfTt2xcHDhxAYWFhpofTbvC+ed+xcBwHx48fR+/eveHzJbbjrLm5GcFgfEE2A4EAunTpktB1zkSybmbj8/nQp0+fTA+j3SgsLMyqL59T8L6zi3jvO5EZTTRdunShAUmQFIc6JIQQQlRobAghhKQdGpszlLy8PNx///3Iy8vL9FDaFd4375t0TLLOQYAQQkj7w5kNIYSQtENjQwghJO3Q2BBCCEk7NDZZwEMPPYRx48ahW7duOOusszI9nLTxxBNP4Pzzz0eXLl0wduxY/OlPf8r0kNLOli1bMHnyZPTu3RuWZWHdunWZHlK7UFVVhTFjxqCgoAC9evXClClTsHfv3kwPi3hAY5MFBINBTJs2DXfeeWemh5I2fvOb32DevHm4//778fbbb2PEiBGYOHEiDh06lOmhpZWmpiaMGDECTzzxRKaH0q5s3rwZlZWV2LZtGzZs2IDW1lZcc801aGpq0ncmGYHeaFnE6tWrMWfOHBw5ciTTQ0k5Y8eOxZgxY/D4448DOBmWqG/fvpg1axbuvffeDI+ufbAsC2vXrsWUKVMyPZR25/Dhw+jVqxc2b96MK6+8MtPDIW3AmQ3p9ASDQezYsQMTJkyIvObz+TBhwgTU1tZmcGSkvTh69CgAoEePHhkeCYkFjQ3p9Pz9739HOBxGSUmJ6/WSkhI0NDRkaFSkvbBtG3PmzMFll12GYcOGZXo4JAY0Np2Ue++9F5ZleR5/+ctfMj1MQtJOZWUldu/ejerq6kwPhXiQdVGfzxTuuusufOc73/FsM2DAgPYZTIb53Oc+B7/fj8bGRtfrjY2NKC0tzdCoSHswc+ZMvPrqq9iyZUtWRXPvjNDYdFKKi4tRXFyc6WF0CAKBAEaNGoWNGzdGFsdt28bGjRsxc+bMzA6OpAXHcTBr1iysXbsWNTU16N+/f6aHRDTQ2GQB9fX1+Mc//oH6+nqEw2HU1dUBAAYOHIj8/PzMDi5FzJs3DzNmzMDo0aNxySWXYNmyZWhqasItt9yS6aGllRMnTuC9996LlPft24e6ujr06NED/fr1y+DI0ktlZSXWrFmDl19+GQUFBZG1uaKiInTt2jXDoyNt4pAznhkzZjgAlGPTpk2ZHlpK+cUvfuH069fPCQQCziWXXOJs27Yt00NKO5s2bWrzvZ0xY0amh5ZW2rpnAM4zzzyT6aGRGHCfDSGEkLRDbzRCCCFph8aGEEJI2qGxIYQQknZobAghhKQdGhtCCCFph8aGEEJI2qGxIYQQknZobAghhKQdGhtyRjB+/HjMmTMHAHD++edj2bJlGR0PIcQNjQ0543jzzTdx++23J3WOl156CVdffTWKi4tRWFiI8vJyvP766ykaISHZB40NOeMoLi5Gt27dkjrHli1bcPXVV+O1117Djh07cNVVV2Hy5MnYuXNnikZJSHZBY0M6HU1NTaioqEB+fj7OOeccLFmyxFUvZTTLsvDkk0/iK1/5Crp164YLL7wQtbW1eO+99zB+/Hh0794d48aNw/vvvx/ps2zZMvzgBz/AmDFjMGjQIPz0pz/FoEGD8Morr7TXbRJyRkFjQzod99xzDzZv3oyXX34Zb7zxBmpqavD222979lm0aBEqKipQV1eHIUOG4Jvf/Ca+973vYf78+XjrrbfgOI5n7hvbtnH8+HHmuCckQZjPhnQqTpw4gaeeegrPPfccvvzlLwMAnn32WW2WxltuuQVf//rXAQD/+q//ivLycvzkJz/BxIkTAQCzZ8/2zH3z85//HCdOnIicgxBiBmc2pFPx/vvvIxgMYuzYsZHXevTogcGDB3v2Kysri/y/pKQEADB8+HDXa83NzTh27JjSd82aNViwYAF++9vfolevXsneAiFZCWc2JCvIzc2N/N+yrJiv2bbt6lddXY3vfve7eOGFFzBhwoR2GCkhZyac2ZBOxec//3nk5uZi+/btkdc+/vhj/PWvf035tZ5//nnccssteP755zFp0qSUn5+QbIIzG9KpyM/Px6233op77rkHPXv2RK9evfCjH/0IPl9qfzetWbMGM2bMwPLlyzF27NhIjvuuXbuiqKgopdciJBvgzIZ0OhYvXowrrrgCkydPxoQJE3D55Zdj1KhRKb3GqlWrEAqFUFlZiXPOOSdyzJ49O6XXISRbsBzHcTI9CEIIIWc2nNkQQghJOzQ2hBBC0g6NDSGEkLRDY0MIISTt0NgQQghJOzQ2hBBC0g6NDSGEkLRDY0MIISTt0NgQQghJOzQ2hBBC0g6NDSGEkLRDY0MIISTt/D8MwuNG4oMzWQAAAABJRU5ErkJggg==",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 400x300 with 2 Axes>"
       ]
@@ -1346,9 +1329,9 @@
     }
    ],
    "source": [
-    "mean = dataset.mean(dim='run').isel(time=[0])\n",
+    "mean = dataset.mean(dim='run').isel(time_eq=[0])\n",
     "\n",
-    "mean['psi'].plot(col='time')"
+    "mean['psi'].plot(col='time_eq')"
    ]
   },
   {
@@ -1368,7 +1351,7 @@
     {
      "data": {
       "text/plain": [
-       "<xarray.plot.facetgrid.FacetGrid at 0x7ff7e33ddaf0>"
+       "<xarray.plot.facetgrid.FacetGrid at 0x7f13162d0500>"
       ]
      },
      "execution_count": 13,
@@ -1377,7 +1360,7 @@
     },
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 400x300 with 2 Axes>"
       ]
@@ -1387,9 +1370,9 @@
     }
    ],
    "source": [
-    "std = dataset.isel(time=[0]).std(dim='run')\n",
+    "std = dataset.isel(time_eq=[0]).std(dim='run')\n",
     "\n",
-    "std['psi'].plot(col='time')"
+    "std['psi'].plot(col='time_eq')"
    ]
   }
  ],
@@ -1409,7 +1392,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.0"
+   "version": "3.12.1"
   }
  },
  "nbformat": 4,
diff --git a/notebooks/xarray-ions.ipynb b/notebooks/xarray-ions.ipynb
index b306803..200a957 100644
--- a/notebooks/xarray-ions.ipynb
+++ b/notebooks/xarray-ions.ipynb
@@ -5,26 +5,9 @@
    "execution_count": 1,
    "id": "ceeb08fb",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'3.12.0 (main, Oct  2 2023, 00:00:00) [GCC 13.2.1 20230918 (Red Hat 13.2.1-3)]'"
-      ]
-     },
-     "execution_count": 1,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
-    "from __future__ import annotations\n",
-    "\n",
-    "%load_ext autoreload\n",
-    "%autoreload 2\n",
-    "import sys\n",
-    "\n",
-    "sys.version"
+    "from __future__ import annotations"
    ]
   },
   {
@@ -48,7 +31,7 @@
     "\n",
     "Then we must define the relations between the data. This is done via the `Variable` model.\n",
     "\n",
-    "ion_temperature is not in the default list of [variables](https://imas2xarray.readthedocs.io/en/latest/variables/), so we must define it. Note that we create an extra dimension with `*` to select all the ions.\n",
+    "`ion_temperature` is not in the default list of [variables](https://imas2xarray.readthedocs.io/en/latest/variables/), so we must define it. Note that we create an extra dimension with `*` to select all the ions.\n",
     "\n",
     "The other variables are defined by *imas2xarray*, so we can pass them as string."
    ]
@@ -80,7 +63,7 @@
    "id": "65496c4f",
    "metadata": {},
    "source": [
-    "## Loading the data\n",
+    "## Reading data\n",
     "\n",
     "Load the data using the `to_xarray()` function."
    ]
@@ -458,14 +441,14 @@
        "  fill: currentColor;\n",
        "}\n",
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
-       "Dimensions:          (time: 1, ion: 4, rho_tor_norm: 101)\n",
+       "Dimensions:          (time: 1, rho_tor_norm: 101, ion: 4)\n",
        "Coordinates:\n",
        "  * time             (time) float64 50.04\n",
        "  * rho_tor_norm     (rho_tor_norm) float64 0.0 0.01 0.02 0.03 ... 0.98 0.99 1.0\n",
        "Dimensions without coordinates: ion\n",
        "Data variables:\n",
-       "    ion_temperature  (time, ion, rho_tor_norm) float64 1.036e+04 ... 508.4\n",
-       "    t_i_ave          (time, rho_tor_norm) float64 1.036e+04 1.036e+04 ... 508.4</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-79e0abbe-6043-4ba9-baea-0ead5ebb9254' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-79e0abbe-6043-4ba9-baea-0ead5ebb9254' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 1</li><li><span>ion</span>: 4</li><li><span class='xr-has-index'>rho_tor_norm</span>: 101</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-4cab8511-0b2e-4316-9406-7eae6de72281' class='xr-section-summary-in' type='checkbox'  checked><label for='section-4cab8511-0b2e-4316-9406-7eae6de72281' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>50.04</div><input id='attrs-e4c57c89-10c0-47db-9b69-caa6bd2205ad' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e4c57c89-10c0-47db-9b69-caa6bd2205ad' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4568e31d-bad2-4388-a1aa-2f5e0fac8477' class='xr-var-data-in' type='checkbox'><label for='data-4568e31d-bad2-4388-a1aa-2f5e0fac8477' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([50.0448])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>rho_tor_norm</span></div><div class='xr-var-dims'>(rho_tor_norm)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.01 0.02 ... 0.98 0.99 1.0</div><input id='attrs-dc066566-f3c7-4176-a6f8-e35eff1ae942' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-dc066566-f3c7-4176-a6f8-e35eff1ae942' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-81e5dd04-420f-465e-b2ce-26a8ef2e29d6' class='xr-var-data-in' type='checkbox'><label for='data-81e5dd04-420f-465e-b2ce-26a8ef2e29d6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.  , 0.01, 0.02, 0.03, 0.04, 0.05, 0.06, 0.07, 0.08, 0.09, 0.1 , 0.11,\n",
+       "    t_i_ave          (time, rho_tor_norm) float64 1.139e+04 1.139e+04 ... 559.2\n",
+       "    ion_temperature  (time, ion, rho_tor_norm) float64 1.036e+04 ... 508.4</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-54981bc2-e05c-4061-bf7c-2683c379f0e6' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-54981bc2-e05c-4061-bf7c-2683c379f0e6' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 1</li><li><span class='xr-has-index'>rho_tor_norm</span>: 101</li><li><span>ion</span>: 4</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-6b8037cd-f3bb-4d33-89f4-6d639b71c20f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6b8037cd-f3bb-4d33-89f4-6d639b71c20f' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>50.04</div><input id='attrs-21600a9a-f15f-4573-9ff9-48d2082a8282' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-21600a9a-f15f-4573-9ff9-48d2082a8282' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1a80baf8-e512-4f1e-af83-c7963bc85ffb' class='xr-var-data-in' type='checkbox'><label for='data-1a80baf8-e512-4f1e-af83-c7963bc85ffb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([50.0448])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>rho_tor_norm</span></div><div class='xr-var-dims'>(rho_tor_norm)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.01 0.02 ... 0.98 0.99 1.0</div><input id='attrs-6059104c-3ff8-4821-92e6-3cbccc186b14' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6059104c-3ff8-4821-92e6-3cbccc186b14' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1d426a65-477a-4589-a2c3-8178fa2b0fc2' class='xr-var-data-in' type='checkbox'><label for='data-1d426a65-477a-4589-a2c3-8178fa2b0fc2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.  , 0.01, 0.02, 0.03, 0.04, 0.05, 0.06, 0.07, 0.08, 0.09, 0.1 , 0.11,\n",
        "       0.12, 0.13, 0.14, 0.15, 0.16, 0.17, 0.18, 0.19, 0.2 , 0.21, 0.22, 0.23,\n",
        "       0.24, 0.25, 0.26, 0.27, 0.28, 0.29, 0.3 , 0.31, 0.32, 0.33, 0.34, 0.35,\n",
        "       0.36, 0.37, 0.38, 0.39, 0.4 , 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47,\n",
@@ -473,7 +456,32 @@
        "       0.6 , 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7 , 0.71,\n",
        "       0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8 , 0.81, 0.82, 0.83,\n",
        "       0.84, 0.85, 0.86, 0.87, 0.88, 0.89, 0.9 , 0.91, 0.92, 0.93, 0.94, 0.95,\n",
-       "       0.96, 0.97, 0.98, 0.99, 1.  ])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6790fc02-3244-48e7-bd6b-6e5b5c4bb9cd' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6790fc02-3244-48e7-bd6b-6e5b5c4bb9cd' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>ion_temperature</span></div><div class='xr-var-dims'>(time, ion, rho_tor_norm)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.036e+04 1.036e+04 ... 623.7 508.4</div><input id='attrs-492f7085-f6dd-48e8-81f6-d2f95516900f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-492f7085-f6dd-48e8-81f6-d2f95516900f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c92871ee-daa0-453a-9ab7-86f20f1e01c2' class='xr-var-data-in' type='checkbox'><label for='data-c92871ee-daa0-453a-9ab7-86f20f1e01c2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[10357.61024003, 10355.68215369, 10349.85879358, 10340.08580445,\n",
+       "       0.96, 0.97, 0.98, 0.99, 1.  ])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-cf4aa83b-a976-45d5-aa8d-63e93434bd9f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-cf4aa83b-a976-45d5-aa8d-63e93434bd9f' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>t_i_ave</span></div><div class='xr-var-dims'>(time, rho_tor_norm)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.139e+04 1.139e+04 ... 686.1 559.2</div><input id='attrs-321687a0-67e2-4697-a79b-98d2c2206d5c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-321687a0-67e2-4697-a79b-98d2c2206d5c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b6d8c587-3259-41f3-984d-fcfb462b1f11' class='xr-var-data-in' type='checkbox'><label for='data-b6d8c587-3259-41f3-984d-fcfb462b1f11' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[11393.37126403, 11391.25036906, 11384.84467294, 11374.0943849 ,\n",
+       "        11358.94629751, 11339.35412417, 11315.27881608, 11286.68885637,\n",
+       "        11253.56052919, 11215.8781614 , 11173.6298824 , 11126.83006773,\n",
+       "        11075.4749617 , 11019.58731572, 10959.19420255, 10894.33150821,\n",
+       "        10825.04393291, 10751.38495252, 10673.41674026, 10591.21004801,\n",
+       "        10504.84404731, 10414.40613004, 10319.99166939, 10221.70374156,\n",
+       "        10119.65280914, 10013.95636745,  9904.7385549 ,  9792.12972913,\n",
+       "         9676.26601058,  9557.28879529,  9435.344239  ,  9310.58271444,\n",
+       "         9183.15824408,  9053.22791017,  8920.95124417,  8786.48959748,\n",
+       "         8650.00549511,  8511.66197405,  8371.6219077 ,  8230.04731785,\n",
+       "         8087.09867567,  7942.93419306,  7797.70910654,  7651.57495588,\n",
+       "         7504.67886094,  7357.16280139,  7209.1629055 ,  7060.80875639,\n",
+       "         6912.22272679,  6763.51935592,  6614.80478569,  6466.17627637,\n",
+       "         6317.72182565,  6169.51991754,  6021.63943065,  5874.1397371 ,\n",
+       "         5727.07102417,  5580.47487104,  5434.38511133,  5288.82901014,\n",
+       "         5143.8287803 ,  4999.40345797,  4855.57115189,  4712.351673  ,\n",
+       "         4569.76954254,  4427.85736449,  4286.65953315,  4146.23622504,\n",
+       "         4006.66759521,  3868.05805872,  3730.54048558,  3594.28007072,\n",
+       "         3459.47755924,  3326.37141207,  3195.23839596,  3066.39198275,\n",
+       "         2940.17786402,  2816.96585191,  2697.13747467,  2581.06872186,\n",
+       "         2469.10768367,  2361.54728828,  2258.59398008,  2160.33397408,\n",
+       "         2066.69960147,  1977.43910557,  1892.09388978,  1809.98746292,\n",
+       "         1730.22999112,  1651.74133096,  1573.29368871,  1493.57278285,\n",
+       "         1411.2538929 ,  1325.08687575,  1233.9825527 ,  1137.09216188,\n",
+       "         1033.87199268,   924.12681587,   808.02803897,   686.10526609,\n",
+       "          559.19980636]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ion_temperature</span></div><div class='xr-var-dims'>(time, ion, rho_tor_norm)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.036e+04 1.036e+04 ... 623.7 508.4</div><input id='attrs-5b2750e4-d3f6-412f-a1f9-34e157d929a4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5b2750e4-d3f6-412f-a1f9-34e157d929a4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d1e4fd3a-5de1-4556-950c-457e343d4bb2' class='xr-var-data-in' type='checkbox'><label for='data-d1e4fd3a-5de1-4556-950c-457e343d4bb2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[10357.61024003, 10355.68215369, 10349.85879358, 10340.08580445,\n",
        "         10326.31481592, 10308.50374925, 10286.61710552, 10260.62623306,\n",
        "         10230.50957199, 10196.252874  , 10157.84534764, 10115.30006157,\n",
        "         10068.61360154, 10017.80665065,  9962.9038205 ,  9903.93773474,\n",
@@ -513,32 +521,7 @@
        "          1572.93635557,  1501.58302814,  1430.26698974,  1357.79343895,\n",
        "          1282.95808446,  1204.6244325 ,  1121.80232063,  1033.72014716,\n",
        "           939.88362971,   840.11528715,   734.57094452,   623.73206008,\n",
-       "           508.36346033]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>t_i_ave</span></div><div class='xr-var-dims'>(time, rho_tor_norm)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.036e+04 1.036e+04 ... 623.7 508.4</div><input id='attrs-0414ce01-c2aa-459e-a382-dd8665bc628d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0414ce01-c2aa-459e-a382-dd8665bc628d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c4a3e81b-d3f2-4664-8c2d-06ba3854aaa0' class='xr-var-data-in' type='checkbox'><label for='data-c4a3e81b-d3f2-4664-8c2d-06ba3854aaa0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[10357.61024003, 10355.68215369, 10349.85879358, 10340.08580445,\n",
-       "        10326.31481592, 10308.50374925, 10286.61710552, 10260.62623306,\n",
-       "        10230.50957199, 10196.252874  , 10157.84534764, 10115.30006157,\n",
-       "        10068.61360154, 10017.80665065,  9962.9038205 ,  9903.93773474,\n",
-       "         9840.94902992,  9773.98632047,  9703.10612751,  9628.37277092,\n",
-       "         9549.85822482,  9467.6419364 ,  9381.81060854,  9292.45794687,\n",
-       "         9199.68437195,  9103.59669768,  9004.30777718,  8901.93611739,\n",
-       "         8796.60546416,  8688.44435936,  8577.58567182,  8464.16610404,\n",
-       "         8348.32567644,  8230.20719106,  8109.95567652,  7987.71781589,\n",
-       "         7863.64135919,  7737.87452187,  7610.56537063,  7481.86119805,\n",
-       "         7351.90788697,  7220.84926642,  7088.8264605 ,  6955.97723262,\n",
-       "         6822.43532813,  6688.32981945,  6553.78445954,  6418.91705126,\n",
-       "         6283.83884254,  6148.65395993,  6013.45889608,  5878.34206943,\n",
-       "         5743.38347787,  5608.65447049,  5474.21766423,  5340.12703372,\n",
-       "         5206.42820379,  5073.15897367,  4940.35010121,  4808.02637285,\n",
-       "         4676.20798209,  4544.91223452,  4414.15559262,  4283.95606637,\n",
-       "         4154.33594777,  4025.32487681,  3896.96321196,  3769.30565913,\n",
-       "         3642.42508655,  3516.41641702,  3391.40044143,  3267.52733702,\n",
-       "         3144.97959931,  3023.97401097,  2904.76217815,  2787.62907523,\n",
-       "         2672.88896729,  2560.87804719,  2451.94315879,  2346.42611078,\n",
-       "         2244.64334879,  2146.86117117,  2053.26725462,  1963.93997644,\n",
-       "         1878.81781952,  1797.67191416,  1720.08535435,  1645.44314811,\n",
-       "         1572.93635557,  1501.58302814,  1430.26698974,  1357.79343895,\n",
-       "         1282.95808446,  1204.6244325 ,  1121.80232063,  1033.72014716,\n",
-       "          939.88362971,   840.11528715,   734.57094452,   623.73206008,\n",
-       "          508.36346033]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e20a4485-0cef-4969-a52a-d77e106cb0ab' class='xr-section-summary-in' type='checkbox'  ><label for='section-e20a4485-0cef-4969-a52a-d77e106cb0ab' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-085eac76-0813-49ca-b394-3db13d4921f8' class='xr-index-data-in' type='checkbox'/><label for='index-085eac76-0813-49ca-b394-3db13d4921f8' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([50.0448], dtype=&#x27;float64&#x27;, name=&#x27;time&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>rho_tor_norm</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-56a038e1-34b8-4d87-9517-71678268a090' class='xr-index-data-in' type='checkbox'/><label for='index-56a038e1-34b8-4d87-9517-71678268a090' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([               0.0,               0.01,               0.02,\n",
+       "           508.36346033]]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4987cf7d-8306-49c1-b7fc-5286613767ac' class='xr-section-summary-in' type='checkbox'  ><label for='section-4987cf7d-8306-49c1-b7fc-5286613767ac' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-fb96e27a-6a9e-4c5f-ba9c-a3ccfe60b2dd' class='xr-index-data-in' type='checkbox'/><label for='index-fb96e27a-6a9e-4c5f-ba9c-a3ccfe60b2dd' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([50.0448], dtype=&#x27;float64&#x27;, name=&#x27;time&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>rho_tor_norm</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-54aab3d5-1324-45f5-8fdf-95b9eda78338' class='xr-index-data-in' type='checkbox'/><label for='index-54aab3d5-1324-45f5-8fdf-95b9eda78338' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([               0.0,               0.01,               0.02,\n",
        "                     0.03,               0.04,               0.05,\n",
        "                     0.06,               0.07,               0.08,\n",
        "                     0.09,\n",
@@ -547,18 +530,18 @@
        "       0.9400000000000001, 0.9500000000000001,               0.96,\n",
        "                     0.97,               0.98,               0.99,\n",
        "                      1.0],\n",
-       "      dtype=&#x27;float64&#x27;, name=&#x27;rho_tor_norm&#x27;, length=101))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2e5cd787-ed20-4dcb-97fe-c25d656bf581' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-2e5cd787-ed20-4dcb-97fe-c25d656bf581' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+       "      dtype=&#x27;float64&#x27;, name=&#x27;rho_tor_norm&#x27;, length=101))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-fcf27de8-3a55-4454-a9f6-5c4633b1235c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-fcf27de8-3a55-4454-a9f6-5c4633b1235c' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.Dataset>\n",
-       "Dimensions:          (time: 1, ion: 4, rho_tor_norm: 101)\n",
+       "Dimensions:          (time: 1, rho_tor_norm: 101, ion: 4)\n",
        "Coordinates:\n",
        "  * time             (time) float64 50.04\n",
        "  * rho_tor_norm     (rho_tor_norm) float64 0.0 0.01 0.02 0.03 ... 0.98 0.99 1.0\n",
        "Dimensions without coordinates: ion\n",
        "Data variables:\n",
-       "    ion_temperature  (time, ion, rho_tor_norm) float64 1.036e+04 ... 508.4\n",
-       "    t_i_ave          (time, rho_tor_norm) float64 1.036e+04 1.036e+04 ... 508.4"
+       "    t_i_ave          (time, rho_tor_norm) float64 1.139e+04 1.139e+04 ... 559.2\n",
+       "    ion_temperature  (time, ion, rho_tor_norm) float64 1.036e+04 ... 508.4"
       ]
      },
      "execution_count": 3,
@@ -569,8 +552,8 @@
    "source": [
     "from imas2xarray import to_xarray\n",
     "\n",
-    "path = '/pfs/work/g2aho/public/imasdb/test/3/92436/1/'\n",
-    "ids = 'equilibrium'\n",
+    "path = './1/data'\n",
+    "ids = 'core_profiles'\n",
     "\n",
     "ds = to_xarray(path, ids=ids, variables=variables)\n",
     "ds"
@@ -597,9 +580,9 @@
     "from imas2xarray import rezero_time\n",
     "\n",
     "paths = (\n",
-    "    '/pfs/work/g2aho/public/imasdb/test/3/92436/1/',\n",
-    "    '/pfs/work/g2aho/public/imasdb/test/3/92436/2/',\n",
-    "    '/pfs/work/g2aho/public/imasdb/test/3/92436/3/',\n",
+    "    './1/data',\n",
+    "    './2/data',\n",
+    "    './3/data',\n",
     ")\n",
     "\n",
     "datasets = [to_xarray(path, ids=ids, variables=variables) for path in paths]\n",
@@ -1039,15 +1022,15 @@
        "  fill: currentColor;\n",
        "}\n",
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
-       "Dimensions:          (run: 3, time: 1, ion: 4, rho_tor_norm: 101)\n",
+       "Dimensions:          (time: 1, run: 3, rho_tor_norm: 101, ion: 4)\n",
        "Coordinates:\n",
        "  * time             (time) float64 0.1\n",
        "  * rho_tor_norm     (rho_tor_norm) float64 0.0 0.01 0.02 0.03 ... 0.98 0.99 1.0\n",
        "  * run              (run) &lt;U5 &#x27;run_0&#x27; &#x27;run_1&#x27; &#x27;run_2&#x27;\n",
        "Dimensions without coordinates: ion\n",
        "Data variables:\n",
-       "    ion_temperature  (run, time, ion, rho_tor_norm) float64 1.139e+04 ... 457.5\n",
-       "    t_i_ave          (run, time, rho_tor_norm) float64 1.036e+04 ... 508.4</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-b9bfd61e-a51d-4420-bdbf-743afbd08d41' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b9bfd61e-a51d-4420-bdbf-743afbd08d41' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>run</span>: 3</li><li><span class='xr-has-index'>time</span>: 1</li><li><span>ion</span>: 4</li><li><span class='xr-has-index'>rho_tor_norm</span>: 101</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-d860644e-40fe-4d7c-9e7f-14d9ef7b0490' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d860644e-40fe-4d7c-9e7f-14d9ef7b0490' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.1</div><input id='attrs-2f3e2c20-1f0f-42ab-9dcc-cd76a6c486a4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2f3e2c20-1f0f-42ab-9dcc-cd76a6c486a4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-83c5f9ba-cea3-4751-9937-16347c3d9d0b' class='xr-var-data-in' type='checkbox'><label for='data-83c5f9ba-cea3-4751-9937-16347c3d9d0b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.1])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>rho_tor_norm</span></div><div class='xr-var-dims'>(rho_tor_norm)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.01 0.02 ... 0.98 0.99 1.0</div><input id='attrs-2d47be7e-2a68-4176-977e-6523b6ec11a3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2d47be7e-2a68-4176-977e-6523b6ec11a3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f9a89935-686a-4bfb-b838-f37a97e38f7e' class='xr-var-data-in' type='checkbox'><label for='data-f9a89935-686a-4bfb-b838-f37a97e38f7e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.  , 0.01, 0.02, 0.03, 0.04, 0.05, 0.06, 0.07, 0.08, 0.09, 0.1 , 0.11,\n",
+       "    t_i_ave          (run, time, rho_tor_norm) float64 1.139e+04 ... 782.9\n",
+       "    ion_temperature  (run, time, ion, rho_tor_norm) float64 1.036e+04 ... 711.7</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-c89b9683-82ff-41b5-8b73-3d70b7a3818e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c89b9683-82ff-41b5-8b73-3d70b7a3818e' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 1</li><li><span class='xr-has-index'>run</span>: 3</li><li><span class='xr-has-index'>rho_tor_norm</span>: 101</li><li><span>ion</span>: 4</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-5b84e1dd-63b4-4869-bff2-9720e6ae0c17' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5b84e1dd-63b4-4869-bff2-9720e6ae0c17' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.1</div><input id='attrs-3419b34c-7437-437a-ad23-cf6fd713c0b7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3419b34c-7437-437a-ad23-cf6fd713c0b7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6608847e-5ce9-4c06-be6d-104bfa304467' class='xr-var-data-in' type='checkbox'><label for='data-6608847e-5ce9-4c06-be6d-104bfa304467' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.1])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>rho_tor_norm</span></div><div class='xr-var-dims'>(rho_tor_norm)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.01 0.02 ... 0.98 0.99 1.0</div><input id='attrs-065b9797-b4eb-4ddd-8fa0-13bb59e7be5d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-065b9797-b4eb-4ddd-8fa0-13bb59e7be5d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8cc47192-9880-4503-a14a-aa1bc832751c' class='xr-var-data-in' type='checkbox'><label for='data-8cc47192-9880-4503-a14a-aa1bc832751c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.  , 0.01, 0.02, 0.03, 0.04, 0.05, 0.06, 0.07, 0.08, 0.09, 0.1 , 0.11,\n",
        "       0.12, 0.13, 0.14, 0.15, 0.16, 0.17, 0.18, 0.19, 0.2 , 0.21, 0.22, 0.23,\n",
        "       0.24, 0.25, 0.26, 0.27, 0.28, 0.29, 0.3 , 0.31, 0.32, 0.33, 0.34, 0.35,\n",
        "       0.36, 0.37, 0.38, 0.39, 0.4 , 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47,\n",
@@ -1055,17 +1038,47 @@
        "       0.6 , 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7 , 0.71,\n",
        "       0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8 , 0.81, 0.82, 0.83,\n",
        "       0.84, 0.85, 0.86, 0.87, 0.88, 0.89, 0.9 , 0.91, 0.92, 0.93, 0.94, 0.95,\n",
-       "       0.96, 0.97, 0.98, 0.99, 1.  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>run</span></div><div class='xr-var-dims'>(run)</div><div class='xr-var-dtype'>&lt;U5</div><div class='xr-var-preview xr-preview'>&#x27;run_0&#x27; &#x27;run_1&#x27; &#x27;run_2&#x27;</div><input id='attrs-d0bb78f0-76aa-4f6a-90a3-01a0c394bcde' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d0bb78f0-76aa-4f6a-90a3-01a0c394bcde' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-701148d5-a4d6-4b57-ada0-0897020905eb' class='xr-var-data-in' type='checkbox'><label for='data-701148d5-a4d6-4b57-ada0-0897020905eb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;run_0&#x27;, &#x27;run_1&#x27;, &#x27;run_2&#x27;], dtype=&#x27;&lt;U5&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3b120de8-9571-40bb-b764-bd8cba663cf0' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3b120de8-9571-40bb-b764-bd8cba663cf0' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>ion_temperature</span></div><div class='xr-var-dims'>(run, time, ion, rho_tor_norm)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.139e+04 1.139e+04 ... 561.4 457.5</div><input id='attrs-a6eeeb2d-61b4-45ac-b1e1-08780ede9fd4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a6eeeb2d-61b4-45ac-b1e1-08780ede9fd4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-157f0001-6864-426a-ad0a-c83e00c0a830' class='xr-var-data-in' type='checkbox'><label for='data-157f0001-6864-426a-ad0a-c83e00c0a830' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[[11393.37126403, 11391.25036906, 11384.84467294, ...,\n",
-       "            808.02803897,   686.10526609,   559.19980636],\n",
-       "         [11393.37126403, 11391.25036906, 11384.84467294, ...,\n",
-       "            808.02803897,   686.10526609,   559.19980636],\n",
-       "         [11393.37126403, 11391.25036906, 11384.84467294, ...,\n",
-       "            808.02803897,   686.10526609,   559.19980636],\n",
-       "         [11393.37126403, 11391.25036906, 11384.84467294, ...,\n",
-       "            808.02803897,   686.10526609,   559.19980636]]],\n",
-       "\n",
-       "\n",
-       "       [[[10357.61024003, 10355.68215369, 10349.85879358, ...,\n",
+       "       0.96, 0.97, 0.98, 0.99, 1.  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>run</span></div><div class='xr-var-dims'>(run)</div><div class='xr-var-dtype'>&lt;U5</div><div class='xr-var-preview xr-preview'>&#x27;run_0&#x27; &#x27;run_1&#x27; &#x27;run_2&#x27;</div><input id='attrs-8c87d0bc-f4d4-4f09-9c9b-6e90ec37f6b8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8c87d0bc-f4d4-4f09-9c9b-6e90ec37f6b8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b05cf4f5-4ea4-4664-b2e5-62dae0763170' class='xr-var-data-in' type='checkbox'><label for='data-b05cf4f5-4ea4-4664-b2e5-62dae0763170' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;run_0&#x27;, &#x27;run_1&#x27;, &#x27;run_2&#x27;], dtype=&#x27;&lt;U5&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-84c8eecd-f6d3-4dc5-8769-a92358805b2d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-84c8eecd-f6d3-4dc5-8769-a92358805b2d' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>t_i_ave</span></div><div class='xr-var-dims'>(run, time, rho_tor_norm)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.139e+04 1.139e+04 ... 960.5 782.9</div><input id='attrs-d5e87536-ec1a-4899-9311-faf94535891f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d5e87536-ec1a-4899-9311-faf94535891f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8156d27f-9335-450b-8198-92295bf8ef5b' class='xr-var-data-in' type='checkbox'><label for='data-8156d27f-9335-450b-8198-92295bf8ef5b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[11393.37126403, 11391.25036906, 11384.84467294, 11374.0943849 ,\n",
+       "         11358.94629751, 11339.35412417, 11315.27881608, 11286.68885637,\n",
+       "         11253.56052919, 11215.8781614 , 11173.6298824 , 11126.83006773,\n",
+       "         11075.4749617 , 11019.58731572, 10959.19420255, 10894.33150821,\n",
+       "         10825.04393291, 10751.38495252, 10673.41674026, 10591.21004801,\n",
+       "         10504.84404731, 10414.40613004, 10319.99166939, 10221.70374156,\n",
+       "         10119.65280914, 10013.95636745,  9904.7385549 ,  9792.12972913,\n",
+       "          9676.26601058,  9557.28879529,  9435.344239  ,  9310.58271444,\n",
+       "          9183.15824408,  9053.22791017,  8920.95124417,  8786.48959748,\n",
+       "          8650.00549511,  8511.66197405,  8371.6219077 ,  8230.04731785,\n",
+       "          8087.09867567,  7942.93419306,  7797.70910654,  7651.57495588,\n",
+       "          7504.67886094,  7357.16280139,  7209.1629055 ,  7060.80875639,\n",
+       "          6912.22272679,  6763.51935592,  6614.80478569,  6466.17627637,\n",
+       "          6317.72182565,  6169.51991754,  6021.63943065,  5874.1397371 ,\n",
+       "          5727.07102417,  5580.47487104,  5434.38511133,  5288.82901014,\n",
+       "          5143.8287803 ,  4999.40345797,  4855.57115189,  4712.351673  ,\n",
+       "          4569.76954254,  4427.85736449,  4286.65953315,  4146.23622504,\n",
+       "          4006.66759521,  3868.05805872,  3730.54048558,  3594.28007072,\n",
+       "          3459.47755924,  3326.37141207,  3195.23839596,  3066.39198275,\n",
+       "          2940.17786402,  2816.96585191,  2697.13747467,  2581.06872186,\n",
+       "...\n",
+       "         14167.5139328 , 14019.53891443, 13866.63397685, 13708.98162078,\n",
+       "         13546.77241481, 13380.20431341, 13209.4819346 , 13034.81580022,\n",
+       "         12856.42154172, 12674.51907424, 12489.33174184, 12301.08543647,\n",
+       "         12110.00769316, 11916.32676367, 11720.27067077, 11522.06624499,\n",
+       "         11321.93814593, 11120.10787028, 10916.79274916, 10712.20493823,\n",
+       "         10506.55040532, 10300.02792195, 10092.8280677 ,  9885.13225895,\n",
+       "          9677.11181751,  9468.92709829,  9260.72669996,  9052.64678692,\n",
+       "          8844.81055591,  8637.32788455,  8430.29520291,  8223.79563193,\n",
+       "          8017.89943384,  7812.66481945,  7608.13915586,  7404.36061419,\n",
+       "          7201.36029241,  6999.16484116,  6797.79961264,  6597.2923422 ,\n",
+       "          6397.67735956,  6199.00031029,  6001.32334641,  5804.73071505,\n",
+       "          5609.33463329,  5415.28128221,  5222.75667981,  5031.99209901,\n",
+       "          4843.26858294,  4656.9199769 ,  4473.33375434,  4292.94877585,\n",
+       "          4116.24900963,  3943.75219268,  3775.99246453,  3613.49621061,\n",
+       "          3456.75075714,  3306.16620359,  3162.03157211,  3024.46756372,\n",
+       "          2893.37944206,  2768.4147478 ,  2648.9314457 ,  2533.98244809,\n",
+       "          2422.32198757,  2312.43786334,  2202.6111642 ,  2091.00189598,\n",
+       "          1975.75545007,  1855.12162605,  1727.57557377,  1591.92902663,\n",
+       "          1447.42078975,  1293.77754222,  1131.23925456,   960.54737252,\n",
+       "           782.8797289 ]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ion_temperature</span></div><div class='xr-var-dims'>(run, time, ion, rho_tor_norm)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.036e+04 1.036e+04 ... 873.2 711.7</div><input id='attrs-1671ff3c-6855-4e16-92f0-6b51d7eb9ca3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1671ff3c-6855-4e16-92f0-6b51d7eb9ca3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2410f0b1-b346-41f0-b0bc-37bc18abcabc' class='xr-var-data-in' type='checkbox'><label for='data-2410f0b1-b346-41f0-b0bc-37bc18abcabc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[[10357.61024003, 10355.68215369, 10349.85879358, ...,\n",
        "            734.57094452,   623.73206008,   508.36346033],\n",
        "         [10357.61024003, 10355.68215369, 10349.85879358, ...,\n",
        "            734.57094452,   623.73206008,   508.36346033],\n",
@@ -1075,54 +1088,24 @@
        "            734.57094452,   623.73206008,   508.36346033]]],\n",
        "\n",
        "\n",
-       "       [[[ 9321.84921603,  9320.11393832,  9314.87291422, ...,\n",
-       "            661.11385007,   561.35885407,   457.52711429],\n",
-       "         [ 9321.84921603,  9320.11393832,  9314.87291422, ...,\n",
-       "            661.11385007,   561.35885407,   457.52711429],\n",
-       "         [ 9321.84921603,  9320.11393832,  9314.87291422, ...,\n",
-       "            661.11385007,   561.35885407,   457.52711429],\n",
-       "         [ 9321.84921603,  9320.11393832,  9314.87291422, ...,\n",
-       "            661.11385007,   561.35885407,   457.52711429]]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>t_i_ave</span></div><div class='xr-var-dims'>(run, time, rho_tor_norm)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.036e+04 1.036e+04 ... 623.7 508.4</div><input id='attrs-29fd25b8-f5b4-4b50-93be-148c11bafaa6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-29fd25b8-f5b4-4b50-93be-148c11bafaa6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5ae992ae-83e1-4de1-aa91-fd3da78fa77d' class='xr-var-data-in' type='checkbox'><label for='data-5ae992ae-83e1-4de1-aa91-fd3da78fa77d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[10357.61024003, 10355.68215369, 10349.85879358, 10340.08580445,\n",
-       "         10326.31481592, 10308.50374925, 10286.61710552, 10260.62623306,\n",
-       "         10230.50957199, 10196.252874  , 10157.84534764, 10115.30006157,\n",
-       "         10068.61360154, 10017.80665065,  9962.9038205 ,  9903.93773474,\n",
-       "          9840.94902992,  9773.98632047,  9703.10612751,  9628.37277092,\n",
-       "          9549.85822482,  9467.6419364 ,  9381.81060854,  9292.45794687,\n",
-       "          9199.68437195,  9103.59669768,  9004.30777718,  8901.93611739,\n",
-       "          8796.60546416,  8688.44435936,  8577.58567182,  8464.16610404,\n",
-       "          8348.32567644,  8230.20719106,  8109.95567652,  7987.71781589,\n",
-       "          7863.64135919,  7737.87452187,  7610.56537063,  7481.86119805,\n",
-       "          7351.90788697,  7220.84926642,  7088.8264605 ,  6955.97723262,\n",
-       "          6822.43532813,  6688.32981945,  6553.78445954,  6418.91705126,\n",
-       "          6283.83884254,  6148.65395993,  6013.45889608,  5878.34206943,\n",
-       "          5743.38347787,  5608.65447049,  5474.21766423,  5340.12703372,\n",
-       "          5206.42820379,  5073.15897367,  4940.35010121,  4808.02637285,\n",
-       "          4676.20798209,  4544.91223452,  4414.15559262,  4283.95606637,\n",
-       "          4154.33594777,  4025.32487681,  3896.96321196,  3769.30565913,\n",
-       "          3642.42508655,  3516.41641702,  3391.40044143,  3267.52733702,\n",
-       "          3144.97959931,  3023.97401097,  2904.76217815,  2787.62907523,\n",
-       "          2672.88896729,  2560.87804719,  2451.94315879,  2346.42611078,\n",
-       "...\n",
-       "          9199.68437195,  9103.59669768,  9004.30777718,  8901.93611739,\n",
-       "          8796.60546416,  8688.44435936,  8577.58567182,  8464.16610404,\n",
-       "          8348.32567644,  8230.20719106,  8109.95567652,  7987.71781589,\n",
-       "          7863.64135919,  7737.87452187,  7610.56537063,  7481.86119805,\n",
-       "          7351.90788697,  7220.84926642,  7088.8264605 ,  6955.97723262,\n",
-       "          6822.43532813,  6688.32981945,  6553.78445954,  6418.91705126,\n",
-       "          6283.83884254,  6148.65395993,  6013.45889608,  5878.34206943,\n",
-       "          5743.38347787,  5608.65447049,  5474.21766423,  5340.12703372,\n",
-       "          5206.42820379,  5073.15897367,  4940.35010121,  4808.02637285,\n",
-       "          4676.20798209,  4544.91223452,  4414.15559262,  4283.95606637,\n",
-       "          4154.33594777,  4025.32487681,  3896.96321196,  3769.30565913,\n",
-       "          3642.42508655,  3516.41641702,  3391.40044143,  3267.52733702,\n",
-       "          3144.97959931,  3023.97401097,  2904.76217815,  2787.62907523,\n",
-       "          2672.88896729,  2560.87804719,  2451.94315879,  2346.42611078,\n",
-       "          2244.64334879,  2146.86117117,  2053.26725462,  1963.93997644,\n",
-       "          1878.81781952,  1797.67191416,  1720.08535435,  1645.44314811,\n",
-       "          1572.93635557,  1501.58302814,  1430.26698974,  1357.79343895,\n",
-       "          1282.95808446,  1204.6244325 ,  1121.80232063,  1033.72014716,\n",
-       "           939.88362971,   840.11528715,   734.57094452,   623.73206008,\n",
-       "           508.36346033]]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ae0c329a-4e8d-4dfe-b089-adb8352ab742' class='xr-section-summary-in' type='checkbox'  ><label for='section-ae0c329a-4e8d-4dfe-b089-adb8352ab742' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-bb498c1a-c381-4454-a0c4-f05f695fbcca' class='xr-index-data-in' type='checkbox'/><label for='index-bb498c1a-c381-4454-a0c4-f05f695fbcca' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0.1], dtype=&#x27;float64&#x27;, name=&#x27;time&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>rho_tor_norm</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-eb37f5e6-262c-4b5c-9f89-189e91256083' class='xr-index-data-in' type='checkbox'/><label for='index-eb37f5e6-262c-4b5c-9f89-189e91256083' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([               0.0,               0.01,               0.02,\n",
+       "       [[[12429.13228804, 12426.81858443, 12419.8305523 , ...,\n",
+       "            881.48513342,   748.4784721 ,   610.03615239],\n",
+       "         [12429.13228804, 12426.81858443, 12419.8305523 , ...,\n",
+       "            881.48513342,   748.4784721 ,   610.03615239],\n",
+       "         [12429.13228804, 12426.81858443, 12419.8305523 , ...,\n",
+       "            881.48513342,   748.4784721 ,   610.03615239],\n",
+       "         [12429.13228804, 12426.81858443, 12419.8305523 , ...,\n",
+       "            881.48513342,   748.4784721 ,   610.03615239]]],\n",
+       "\n",
+       "\n",
+       "       [[[14500.65433604, 14497.95501516, 14489.80231101, ...,\n",
+       "           1028.39932233,   873.22488411,   711.70884446],\n",
+       "         [14500.65433604, 14497.95501516, 14489.80231101, ...,\n",
+       "           1028.39932233,   873.22488411,   711.70884446],\n",
+       "         [14500.65433604, 14497.95501516, 14489.80231101, ...,\n",
+       "           1028.39932233,   873.22488411,   711.70884446],\n",
+       "         [14500.65433604, 14497.95501516, 14489.80231101, ...,\n",
+       "           1028.39932233,   873.22488411,   711.70884446]]]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f8162b0b-65b6-4bbc-9cf7-7542c151418e' class='xr-section-summary-in' type='checkbox'  ><label for='section-f8162b0b-65b6-4bbc-9cf7-7542c151418e' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-8440006b-d07d-4018-89ca-01e8c778cc02' class='xr-index-data-in' type='checkbox'/><label for='index-8440006b-d07d-4018-89ca-01e8c778cc02' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0.1], dtype=&#x27;float64&#x27;, name=&#x27;time&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>rho_tor_norm</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-aee496af-53e7-4209-b79d-1a29b3f9df11' class='xr-index-data-in' type='checkbox'/><label for='index-aee496af-53e7-4209-b79d-1a29b3f9df11' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([               0.0,               0.01,               0.02,\n",
        "                     0.03,               0.04,               0.05,\n",
        "                     0.06,               0.07,               0.08,\n",
        "                     0.09,\n",
@@ -1131,19 +1114,19 @@
        "       0.9400000000000001, 0.9500000000000001,               0.96,\n",
        "                     0.97,               0.98,               0.99,\n",
        "                      1.0],\n",
-       "      dtype=&#x27;float64&#x27;, name=&#x27;rho_tor_norm&#x27;, length=101))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>run</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-d163e943-52da-4c0e-81c1-0a5da2ca38b1' class='xr-index-data-in' type='checkbox'/><label for='index-d163e943-52da-4c0e-81c1-0a5da2ca38b1' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;run_0&#x27;, &#x27;run_1&#x27;, &#x27;run_2&#x27;], dtype=&#x27;object&#x27;, name=&#x27;run&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-63fb735c-f333-4f01-b756-7ada48537d8b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-63fb735c-f333-4f01-b756-7ada48537d8b' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+       "      dtype=&#x27;float64&#x27;, name=&#x27;rho_tor_norm&#x27;, length=101))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>run</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-35aa7fe5-7d23-449f-9b51-6e66021cd398' class='xr-index-data-in' type='checkbox'/><label for='index-35aa7fe5-7d23-449f-9b51-6e66021cd398' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;run_0&#x27;, &#x27;run_1&#x27;, &#x27;run_2&#x27;], dtype=&#x27;object&#x27;, name=&#x27;run&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a8fc465e-c970-410a-a92b-7fc043d54a91' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a8fc465e-c970-410a-a92b-7fc043d54a91' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.Dataset>\n",
-       "Dimensions:          (run: 3, time: 1, ion: 4, rho_tor_norm: 101)\n",
+       "Dimensions:          (time: 1, run: 3, rho_tor_norm: 101, ion: 4)\n",
        "Coordinates:\n",
        "  * time             (time) float64 0.1\n",
        "  * rho_tor_norm     (rho_tor_norm) float64 0.0 0.01 0.02 0.03 ... 0.98 0.99 1.0\n",
        "  * run              (run) <U5 'run_0' 'run_1' 'run_2'\n",
        "Dimensions without coordinates: ion\n",
        "Data variables:\n",
-       "    ion_temperature  (run, time, ion, rho_tor_norm) float64 1.139e+04 ... 457.5\n",
-       "    t_i_ave          (run, time, rho_tor_norm) float64 1.036e+04 ... 508.4"
+       "    t_i_ave          (run, time, rho_tor_norm) float64 1.139e+04 ... 782.9\n",
+       "    ion_temperature  (run, time, ion, rho_tor_norm) float64 1.036e+04 ... 711.7"
       ]
      },
      "execution_count": 7,
@@ -1176,7 +1159,7 @@
     {
      "data": {
       "text/plain": [
-       "<xarray.plot.facetgrid.FacetGrid at 0x7f5ed896b770>"
+       "<xarray.plot.facetgrid.FacetGrid at 0x7f1506647b00>"
       ]
      },
      "execution_count": 8,
@@ -1185,7 +1168,7 @@
     },
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAABKAAAAEiCAYAAADOGarIAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8g+/7EAAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOzddZxU1fvA8c+5905s97LE0kundCMdEkqIohgYKAaiqPxETAxM7G5A+BrYXSAgCEq3dMfCdszce35/zO7ISsMu+bxfr3ntzsydO/eiZ8+9z3nOc5TWWiOEEEIIIYQQQgghRAkxTvUBCCGEEEIIIYQQQoizmwSghBBCCCGEEEIIIUSJkgCUEEIIIYQQQgghhChREoASQgghhBBCCCGEECVKAlBCCCGEEEIIIYQQokRJAEoIIYQQQgghhBBClCgJQAkhhBBCCCGEEEKIEiUBKCGEEEIIIYQQQghRoiQAJYQQQgghhBBCCCFKlASgxBmjffv2jBgx4lQfhhDiBElbFuLsIG1ZiLOHtGchxMmgtNb6VB+EEEcjNTUVl8tFRETEqT6Uw9q4cSM33HADv/zyC+Hh4VxxxRU8+uijWJZ1qg9NiNPCmdKWb7nlFmbOnMmSJUuoWbMmCxYsONWHJMRp5UxoywsXLuSxxx7j999/Z/fu3VSsWJFhw4Zx6623nupDE+K0cia05z179jB48GAWLVrEnj17SExMpE+fPjzyyCNERkae6sMTQhwFuSMWZ4zY2NhTfQhHZNs2PXv2JCkpiVmzZrFt2zaGDBmCy+XikUceOdWHJ8Rp4Uxoy4Wuvvpq5syZw6JFi071oQhx2jkT2vL8+fNJTEzkgw8+IDk5mVmzZnHddddhmiY33XTTqT48IU4bZ0J7NgyDPn368PDDD5OQkMCaNWsYPnw4qampTJo06VQfnhDiKMgUPHHG+G9q8N69exkyZAgxMTGEhobSvXt3Vq9eHXz/nXfeITo6mu+++46aNWsSHh5Ot27d2LZtW4kd4/fff8+yZcv44IMPaNCgAd27d+ehhx7ixRdfJD8/v8S+V4gzyZnQlgGee+45hg8fTuXKlUv0e4Q4U50Jbfnqq69mwoQJtGvXjsqVK3PZZZdx1VVX8cknn5TYdwpxJjoT2nNMTAw33HADjRs3pkKFCnTs2JEbb7yRGTNmlNh3CiGKlwSgxBnryiuvZN68eXz++efMnj0brTU9evTA5/MFt8nOzubJJ5/k/fffZ/r06WzcuJE77rjjsPsNDw8/7GPYsGGH/Ozs2bOpW7cupUqVCr7WtWtX0tPTWbp06YmftBBnodOxLQshjt2Z0pbT0tLOiGwPIU6lM6E9b926lU8++YR27dod93kKIU4umYInzkirV6/m888/Z+bMmbRs2RKAiRMnkpyczLRp0xgwYAAAPp+PV155hSpVqgBw00038eCDDx5230eq83K4Oebbt28vEnwCgs+3b99+2P0KcS46XduyEOLYnCltedasWUyZMoWvvvrqqD8jxLnmdG/Pl1xyCZ999hk5OTn06tWLN9544yjOSghxOpAAlDgjLV++HMuyaNasWfC1uLg4qlevzvLly4OvhYaGBjtFgNKlS7Nz587D7rtq1arFf8BCiIOStizE2eFMaMtLliyhT58+3HfffXTp0qVY9inE2eh0b8/PPPMM9913H6tWrWL06NGMHDmSl1566YT3K4QoeTIFT5zVXC5XkedKKY608OOJpAYnJSWxY8eOIq8VPk9KSjrOsxBCnOy2LIQoGaeqLS9btoyOHTty3XXXMWbMmBM6ByFEwKlqz0lJSdSoUYPevXvz6quv8vLLL5d4XUghRPGQDChxRqpZsyZ+v585c+YEU4P37NnDypUrqVWr1gnt+0RSg1u0aMG4cePYuXMniYmJAPzwww9ERkae8HEJcTY6XduyEOLYnM5teenSpXTo0IErrriCcePGndCxCHEuOJ3b8385jgNAXl7e8R6SEOIkkgCUOCOlpKTQp08frr32Wl599VUiIiK4++67KVu2LH369DmhfZ9IanCXLl2oVasWl19+OePHj2f79u2MGTOG4cOH4/F4Tui4hDgbna5tGWDNmjVkZmayfft2cnJyghfNtWrVwu12n9C+hTjbnK5tecmSJXTo0IGuXbsycuTIYD1G0zRJSEg4oeMS4mx1urbnr7/+mh07dtCkSRPCw8NZunQpo0aNolWrVlSsWPGEjksIcXLIFDxxxnr77bdp1KgRF1xwAS1atEBrzddff31AOvDJZJomX375JaZp0qJFCy677DKGDBlyxIKMQpzLTse2DHDNNdfQsGFDXn31VVatWkXDhg1p2LAhW7duPaXHJcTp6nRsyx999BG7du3igw8+oHTp0sFHkyZNTtkxCXEmOB3bc0hICK+//jqtW7emZs2a3HbbbfTu3Zsvv/zylB2TEOLYKH2kibpCCCGEEEIIIYQQQpwAyYASQgghhBBCCCGEECVKAlBCCCGEEEIIIYQQokRJAEoIIYQQQgghhBBClCgJQAkhhBBCCCGEEEKIEiUBKCGEEEIIIYQQQghRoiQAJYQQQgghhBBCCCFKlHWqD+Bs4TgOW7duJSIiAqXUqT4cIc4ZWmsyMjIoU6YMhlE8MXVpz0KcfNKWhTh7SHsW4uxQEm35dJebm0t+fv4Rt3O73Xi93pNwRGcXCUAVk61bt5KcnHyqD0OIc9amTZsoV65csexL2rMQp460ZSHOHtKehTg7FGdbPp3l5uZSqUI423faR9w2MjKS0qVLYxgGw4cPZ/jw4SfhCM98EoAqJhEREUCgcUZGRp7ioxHi3JGenk5ycnKwDRYHac9CnHzSloU4e0h7FuLsUBJt+XSWn5/P9p02G+ZXJDLi0Blf6RkOFRqtl79Hx0ECUMWkMBU4MjJS/icU4hQoznR8ac9CnDrSloU4e0h7FuLscK5Ne42MMIiMME/1YZyVzo2JnEIIIYQQQgghhBDilJEAlBBCCCGEEEIIIYQoURKAEkIIIYQQQgghhBAlSgJQQgghhBBCCCGEEKJESRHyk8zv82NaJrbPxjANHEejtcayTJRxbhV3E+JM5tgOKNCODrygwLE1hqEwLSlaKMSZxPbbGIaBbdsopdBaozVYLvOcK7wqxJnM9geur22/jTIM0BrH0ZimgWHKuLsQQpxq8pf4JLL9Niv//IeczFzWLtlIRmomu7ekkrptL748H9vX7wTAcTR+nx343XZO5SELIQ7CcRzycvJZ/sdq/D6bxTOWo1AsnbkC0zLZuGILvnx/cFug4IZWn8rDFkIcwl8/LMLRmkXTl2H7bdYv3URuZi6Z+7LYuzMNCPTNtl/6ZiFOV36fTeq2vWxds52M1EzWL9mIL8/H2oXrMUyDDcs24dhO0bbsSFsWQoiTSQJQJ5FpmXz+0neERoTw8dNfEpUQyVv3TKJUhQQmDH+DpIqJTBz3Mel7Mlg17x+W/bEKx3FYu2jDvwEp6SiFOOUc2+HjZ74koVwc0174hrgysXz95k+ERoQw+4t5bPtnB1tWb+Pzl74jP9fHZy9+i3Y0W1ZvIzsj59/9OBKQEuJUy0jNZNH0ZeRk5DD3678B+Oq1HwmLDuXVO94jJjGKF299C8e2mfnZn2xft5O8nHw2r9oW7JMlICXEqWe5TN4aM5myKaV58/8mUqV+Rd4YPZEKtZP58PFphISHMPebv/n7p0Xs25XOjx9MxzAM1i5cT15OfnA/MlgkhBAlRwJQJ1lCchwAieXjAYhOiATANAMp/usWbyQ6IZIpj0+jVvNqPHfj68SViWHJjOXM+PgPDMNg8+qt+PP92H4bv89/ak5EiHNc9SZVyEzLolLtZPJz84lOiMJyW2SkZhJfNpYlvy+nWuMq/DZlFqUrl2L5nNXM/mIeylC8dc8k8nN9pO1KIystG7/PL21ZiFMkJMKLO8SNN8xDaGQIpmUSHh2GdjShESE4jkNOZi6Wy+LXD2eSVCmRx4c8T+nKiXz/3q+smvcPju2w9Z/t+H2Bvrkwu0IIcfJoR1P1vMrk5/moVLcivnw/MYlRWC6TtN3pxJWJ4c9v/6Z2qxp89NTn1G9fm2/e/Ik92/aRtiudyY99guNodm7cTX5uvvTNQghRAiQAdRI5tsPQcZeSl5PPVQ8NIjcrl2seG0x2Rg5XPjiIvJx8+t7cDYCGneoEPxcVH8nHE76iTb/mvH7X+2SkZrFvdzpfv/GTjLoKcQpYLotGXepTpnISjbs1JKlSIq0vbEpUQiRdrmiP2+ui4+C2WC6DWi2qERLuJX1PBlUbVmbuV39RqU55tq/bwTtjpxAWFcp37/zKjg27g/uXdi3EyaNQXDr6IhxHc8ndF+LYDhff2QfHdugzPNAnt7+4FQA1m6cAEJ0YhWmZzPxkLtUaV+HRyybgDfOyYdlmpn80O1g3SrKWhTh5lKHod2tPbL9DvxE98eX5GDymPxl7s7j64UtI3bGPi+/sS3ZaNg071sPtdbFvZxpVz6vEN2/+RPMLGvPHF/OY8fEfKKX4/KXvydyXHdy/tGchhDhxEoA6iQzTQBkKT4gbwzTwhnlxe92ERoQQXSpwMVuzWTUA+t7UA7/Pz9DHBuP32XS4tDUAabvSqdkshZdHvkOLXo1ZMXcNb/3fpOCcdpAOUoiTwTAMvGEeDEMRFhkKQFzpGABKVy6F2+uiasPKlKmaRO2W1WnRqzGlKsRTr11tYpKi2bU5lSZdG7Dw16Xs2rSbhHKxPDn0JXas34lhGmhHSyBKiJPAdJmYLhO3x4Wr4BEeHYbL4yKpUiKOozmvY10c22HA7b3x+2wG3d0XgBZ9mgDgCfUQmxTNS7e+TeuLmvPTxBl8+er3GIYR7JtlWo8QJ0dImAeA0IgQgEAWlNsiOiGK2NLRxJaOoXGX+oTHhDFwVCDY3LJPE8IiQ9m2bgfNL2jEV6//SFzpaGyfnyevfomstGwMI3DbZEvfLIQQx00CUKcJwzCwXGaR1bMsl0VEdDgoaDegJbbfZuhjg3Ech+qNqhBfNpZpL3zDwDv78Nv/ZvPiLW8BkL4nA9tvSyBKiFPEclvBtmxaZnDlncTkeCJiwmhwfh0ada5HxTrJlKqQQNWGlVg6cyXJ1csQGhXKyLb3kro9sDhB5t4sactCnCKmZWIVtOHCdmy5TBKS47D9Nj2GdsT221w2dgAA9dvXxuW2+O7dX7ng+i68e/8UvnzlOwD2bt+H4zj/rpwphDhplFK43BaWK7AAuGEamGagbUfFR1C5XgUSkuPoM7wb3jAv5WuUpVLd8kz/6A/a9GvO7i2p3N31YXKz88jNzCU3O0/6ZiGEOA4SgDrNGaYRuPgtWNo9Mi4CNAwc1Qdfvp+e13YiPDqMOV/N5+pHLuHrN37k/Qf+h2mZ7N6SSn6eT7IohDhNWG4Ly20FnydVSiQhOY4m3RpSs0U1qjasxKYVW2h2QSMst8WINveSl5NHbmYeqdv2SQaFEKcJ0zSLBJkTk+Px+20uu7c/2tH0GtYZgJVz19D7xm68NOJtZn72J4ZhsH39TmxbBomEOB0opbBcgUEjpQLX2jGJUTToUJfE8gm06tuE0lUSWfz7ci66tQebV27l3t6PoZQiIzWTjL2Z0paFEOIYSADqDFM4WgPgcls06FAXv8/m8vsGEBYZyqp5/3DFg4P4+o0fefueyVguk4y9Wfjy/dh+6SCFOJ0UXvR6Qty43BaNOtenZrNq1GtXmz1b99KmX3NcHhc3t/g/8nLy8OX5yUjNlAwKIU4zluvfTCllKNr2b4Htt7nigYsB2LF+J72GdeGlEW/z2/9mY5omabvSC6bPS98sxOlCKYXpCgz8esM8xJaOJbl6WTpd1pYyKaVZv3QTA27vzeaVWxnd/REMwyAvO4/sjBxpy0IIcRQkAHWGM83A1L1SFRKw/TZXj7uUsMgQ1i/dxDWPDea3KbMYd8kzOLaDaRXMXZfVeYQ47QSn3yqo2SyFyvUq0LJ3YzJSM2l9UaDA+bCGo9i4YgvKKChwLNmNQpyWCjMpqjashO23uf7pKwHYtWk3g+7qyztjP+Td+6aAIlhXRm5ehTj9WK5AZpTb46JcSmnOH9SKinWT2frPdgbe0ZvU7fu4sfHdZKRm/lsjSq6zhRDikCQAdZYozKQIiwoUQ77ygUFExkey6q+13PTc1SybvYpr645k58bdwRtdudgV4vRTuHoWQHLNspRNKU3HS9uQvjuDRl3qkdKoMre0vIcvX/k+mA3p98nFrhCnI9My/52i57O5ccLVAKxdtJEbJ1zN12/8xO3n3092Rk7w5lUIcfop7G8N06BUhQRaX9iMGk2rsmnFFvrf3gvLZXJVjVtZ8MuS4HW2BKKEEOJAcrVzlim82PWGeVBKMfiefpSqkMC87/5m+HNX48vzcWenB1j021Ic28Hv85/qQxZCHIJpBi5iy6aUJqlSIj2u6cje7ftIKBfLBQXTeV6/6wP8+X78PlsyooQ4TVkuE8tlEpsUjd/n56bnrsLtcfHH538y5sMRrJ6/lru7PsSmlVux/bb0zUKcppRSGEZgqm1C+Xha9GpMg/PrsOqvtXQc3IYazVJ4cMBTfPHKd8HrbKnfKIQQ/5IA1FnKKJiaFxLhxXJb9LutFymNKvP9u7/Sul9zqjdN4cPHp7Hw12Wn+lCFEEdQOJpavmY5SlVI4MJberJ7ayqLZyznqocHseDXJUx9YlogCCWZjUKctkzLxHJZxJaOxe+zGfroZcSUiubjZ75k8Jj+hEWF8u59U9i8cqvUehPiNGcW1HwrXSmRpt0a0rJPExbPWI7lMuk1rCs/fjCdb9/6RQJQQgixHwlAneUKV+qJio/AE+Kh/aBWtOrThM9e/Ja1CzfQsGMdtq3bQfqeDEkVFuI0VxiIqt2qOnFJMQwc1ZvcrDzGX/ECbfq1wO/zs3nVtlN8lEKIIynMiEquURbbb3PBsC7UbVOT1+96H9NlUrFOeTat2kpuVp5MsRXiNFe4+EDlehWo06oGXa/qwPI5q5gy/jPaX9ySjD2Z7Fi/UwJRQgiBBKDOGYFRV5PyNcoSlRBJ+ZplGXxPP+Z+/Te3triHnZukNpQQZwqlFBrN+YNaExLmpdcNXShTpRQ3NrqTnz6YHsyckKCyEKc3yxUYJGrcpT7a0VSsXZ5LRl/ElCc+4+GLnyYrLRvLZZ7qwxRCHEFhDTe310WjzvVITI5nwO29yMnM5crqt7B4xopgjUfpm4UQ5zIJQJ1jCtP/m/U4j3LVy7B9/U5uePYqYpNiuKfnI3z63Nco1JF3JIQ4pQovdjVw+dgB+H02iRUSuOrhS5j82Kfcd+F4MlIzJaAsxBmgMIPi4jv74Pa42LpmO/83aQT7dqVxe/v7mP3FPMmeEOIMUDiYG50YRZcr2pO5N4sOl7bm/Etb88z1rzLhhtfw5fulbxZCnLMkAHWOUkrh9rroNawLDTvW5efJvxMWFcqFt/Rg1fx/2Lh8M47UnxDitBeYymPhclvc+vK15Of5mPrEZwx7+kq01vz942Ic25GbVyHOELbtcN34y6lYO5lPJ3xFoy71adGrMQt+WcKeramSPSHEGcC0TFweF5XqlqffyF6sXbiexdOXcd0TQ0jdtpelM1ee6kMUQohTQgJQ5zClFIZpEB4dSsvejRk4qg9zvvqLUR0fYPeWVAwjkAklozRCnP4M0yCpYiJuj4vrxl9O6UqJ3Nz8//jto9k4joNSSm5chTgDmKaBN9yL3+enw6VtuPCWHkwZP42nr3mFrPQcTMuUgLIQZ5BS5eOpUCuZIfcPJCcjh+vr38GKuauD70vfLIQ4l0gA6iRzCi4a7YKgjs8OdDp+xybfPvkrWCmlsFwWpSokULFOMtkZOVzz+GVUb1qVRwZP4K17JgXm+AghivAXtNXCn7bj4GiN4zj4bBu/c/IvKE3LxHEcelzbCe1oSlVMYMQr1/Ht279wT89H2LVpD44tAWUhDqWwj/63fQf65pMd8DFNA8tlUf/8OnhC3GSn53Dnuzfhclvc2/sxvn7jx5N6PEKcKf7bNxf2xXZB32yfgkFV0zIxLYP2F7fCcTStLmzKgNt789Y9kxh36TPkZuVK3yyEOGdIAOokcrTmm9WryLdtflm/lsz8fBbt2MbOrCx2ZWWzJT0dDWxNTw9e7PodB7/jYNslezNbWBvq/EGtaNu/BdP/N5tNK7Zw8V19yc3OIzc7T0ZohCjgdxz2ZGczb+tm9uXm8vvG9eTZNr+tXwdK8cfmTRjKYGt6Gnl+f/BzPtsOBp1LSmFtKMdxuGfyCAzD4OVb36bPTd1JLB9Pxt7MEv1+Ic5EHy9bAsC0FcuwHYdf168lx+dj9Z49pOflkeP3syc7K7h9IMjslPjNbOEy75ffN4Cazavx6XNf4/a66HZ1RzL3ZuHL98sqeUIU8DsOy3ftZEt6Omv3prImdQ+7s7NZsH0bPsdmwfZtmIbBxrR9wcCUo/VJ6ZsLa0PFlo7mmscvY+ua7Xz+0ndcfu8A3CFustKzgwuICCHE2UwCUCeRoRQ/rF2D2zT5fNUKwt1u3lm4gMSwMB6d+RuVYmK495cfSQgL48Mli1i/by/bMzOYu2UTpmmSmZcXvOD1lWB2RURMGA071mXoo5eyc8NuBpW9jtfueI/8PJ9c6AoBgGbi4oWUjYziwyWLKBcZxeQlCykTEcEny5fisSzmbNnE/G3bSM3J4fX5f+JozRerVuJ3HPL8/mBw2V9CN7CmZRKdEAXAlQ8Pomn3hozp9Sg3NRvNxuWbpQiqEAVSc7JZt28ve3NyWL57F3m2zfQN67EMg3cW/kV8aCj3/vwDcaFhPPvHTDLy8li2ayf/pO7BNAwy8/PwO4HMipJoz4WZymhNyz5NuPbxy/njy3kMSBrK5y99i3YcGSASArAMgzf/nk/ZyEhemTeXqrFxPDN7JnUSS/HU7JlUi4vn/UULyPH5WLxzB1+vXkme38/Xq1dhKEW2L7/E+2bDMIgtFU1ihXiuGncJiRUSuLbu7Yzt/TipO/bhy/OVyPcKIcTpQgJQJ1mdxFIA1Cv4mRIbC0Cp0HAgMHrjMk1+37iBitExPDz9V5qXK8/zc2ezOSOd7ZkZfLl6Jab69z9dcd9EmpZJQrk4Gnaoy/olG2nRuzG3vHQtC35ewtxv/irW7xLijKShS5Wq7M7Kpk2FiqTn5VEvMYl82yYuJJQQy2J7ZiYVoqOZsXE99ZKS+P6f1bhMgx1ZmTw1+3csw2DK0kWk5eYGd+s4xVss3DANHMdhwO29AdiwbAtP/fIALo+L797+mez0HLlxFee8aG8IMSEhRHm9JIaF4bUsEsPCMQ2D2JBQHK0Jc7sB2JiWRoTHw0t/zqF6fAJ3//QdPtthyc6dzN68Ecv4t28u7ml7ltuibttaJCTHserPfxjywMX0vbkHv06ZxYq5aySgLM55tuPQuUpVMvLyOL9SZbLy82lUpiw+2yY+JBSvy2JLejoVoqP5ctVKWiaX57W//qRGQgKzNm9k2orl+GybSYsXFsmIcrQu9r5ZKUWfG7uRk5GDaRo8+t0Y9mzdy0+TZuD3+aXOmxDirHVKA1DTp0+nV69elClTBqUU06ZNK/K+1pqxY8dSunRpQkJC6NSpE6tXry6yTWpqKoMHDyYyMpLo6GiGDh1KZmbRKSaLFi2iTZs2eL1ekpOTGT9+/AHH8r///Y8aNWrg9XqpW7cuX3/9dbGfr9aaa85rXPCzCY7W3NKsJXl+P3e0bE1Wfj63NW9Jvm0zsHY9AGomJGAoxdrUVGrEJzBuxm90rlyVz1Yu5+NlS/A7DrM2byLH58PRuthGbALz1U3aDWzJkPsH8tdPi7j/oidI3b4v2CnKxa44V1mmSY34BOqWKkWdhETqlUrivNJlqBYXz/mVKpMUHkGf6jUJsSy6VknBY1okR0YRFxLKyt27aV4umd82rMPvaFBwyzdf4rNtVqemsjk9LZjp6BTDBWjhlDzbdnjwsztJLB/P6G4PM/PTuaADbV0yG8W5TGvN0IaBvvnagr75hsZN8TsONzZuiu04DKnXAIAuVVIAqBYfD0Ce309MSAhPz55J6/IVeWrWDP7evpXM/Hz+2LIpUNtRa/zFNL3HLLhxvfjOvlxwXWemPf81L414m+z0bAzDkH5ZnNNMw6B71WpEeDz0TKlOmNvNwNp1MZTi+sZNyczLZ0TzFuzLzWVw3frk2TZVYmKJ9Ybw97ZttKtQifcXLSAlLo71+/by4G8/A/DX1i3sy83FLsZpt4VT8mJKRXP3xFvx5/sZ2fZeVs5dg+NoWThECHHWOqUBqKysLOrXr8+LL7540PfHjx/Pc889xyuvvMKcOXMICwuja9eu5O6XMTB48GCWLl3KDz/8wJdffsn06dO57rrrgu+np6fTpUsXKlSowPz583niiSe4//77ee2114LbzJo1i0suuYShQ4fy999/07dvX/r27cuSJUuK9XyVUkV+GgU/PZaFx7IIc7tJDAvHAFqXL4/WmlubtSTX7+eW5i1xtKZhUhKhLhc/rv2HfrXq8PjM6XhMk/S8PF6f/2eRejPFcsyGonSlUoSEh3DxqD50v7oDb9z9AS+PfAdbCiaKc1hhpoO530+PZQGQEBaGoRQVo2MIdblokFSamgmJ1C+VRKfKVSgdHkHFqBiSIyNZsnMHbStUZEPaPl79ay7JUdF8uGQRK3bvCv6NKI7AsmkaVKydDEBS5VKM/fgOls9ZxSODJ7Bx+Sa50BXnLPM/bdkyDEzDwG2aRHi8uEyTijGx2I5D1ypV8TsOtzRtgd9xuLpBIwAalykDwKrUPTRMKsOIb7+iUnQMa/emMnnxouBaHsUSVDYNvGEeQsK9hEaEcPML11CjWQrPXP8q/3vy8xPevxBnMuM/19hAsG+OCw3FbVrEhYSSHBlFqbBwLqhWgxCXi6ENG6GUokZ8AmUjIpmxcQMX1qzNd/+sZu7WLYS53bz215/syPp3kLu4Ar5V6lXA5XFR//za3Prydfzw3m88fsXzpO3OkL5ZCHHcPvnkEzp37kxCQgKRkZG0aNGC77777lQfFujTBKA//fTT4HPHcXRSUpJ+4okngq/t27dPezwePXnyZK211suWLdOA/vPPP4PbfPPNN1oppbds2aK11vqll17SMTExOi8vL7jNXXfdpatXrx58PnDgQN2zZ88ix9OsWTN9/fXXH/Xxp6WlaUCnpaUd9WeOhc/vD/6e6/PpZTt3aq21fuDXn7TWWo/6/hu9as9uvXTnDj32lx91dn5+cHvbtk/4+x3H0Zn7svSsz//UF4Rfphf8siT4nt/nP8wnhShZJdH2SrI9O46jbcfRftvWuT6f9tm2/mvbFr1810798bIleuH2bXrsLz9qv23rMT99rxdt3xb8rL8Y2rI/369zMnO11lpfXPY6/cz1rwTbcHH8rRDieJ1pbVlrrX22rf37Pf7YtFFrrfX//fSd1lrrSz76UGfk5ekf167Rz82ZVSxt+L9yMnP1xHEf60srDNObVm4Jvm77pT2LU+dMa89+2w72z9n5+XpfTo7esG+v/mzFMr14x3Y9dcliPXHRAr0vJ0ff8f03emt6epHPnvD3+/w6c1+WztyXqTup/vqjZ74o8p4Qp0pJ96Onm8Lz3buqsra3pRzysXdV5RP6d9k/NlFSbr31Vv3444/ruXPn6lWrVunRo0drl8ul//rrrxL/7sM5bWtArVu3ju3bt9OpU6fga1FRUTRr1ozZs2cDMHv2bKKjo2ncuHFwm06dOmEYBnPmzAlu07ZtW9wF9RsAunbtysqVK9m7d29wm/2/p3Cbwu85HVimGfzdY1mkxMXhaM1drdris23qJ5UmJTaOdxb8xVUNzmPJzh3c8u2X5Ph8/07BOYGRGqUUYVGhpJxXiavHXUK1xlUY0+tR7u72MLnZeZL2L8RRUkphKBXMmDKUomFSGarHxdMiuTxlIyI5r3QZluzcgdflolp8PNd/OY2FBav3wIm1ZdNl4g3zANBxcGtufvFavn7jJ66tO5L53y2UtizEMSjMlip8NC5TFr/jMKplWwBal69IuNvNm3/N47pGTfh0xTIemfFrkUwofYJZUZbbpF67Wtz68rW43C5ubXUPTw59SWrICHEMTMMI9s8hLhdhbjflo6LpXb0mpcLCqREfT53EUnz/zxqalS2HZRhcNe1jtmakF0/fbJmERYUSEh5CvxE96TfiAl69412GNRzF5lVbsf3SNwtxJmvfvj033XQTI0aMID4+nq5du6KUYsGCBcFt9u3bh1KKX3/9FYBff/0VpRQ//fQTjRs3JjQ0lJYtW7Jy5cqj+s5nn32WO++8kyZNmpCSksIjjzxCSkoKX3zxRQmc4dE7bQNQ27dvB6BUqVJFXi9VqlTwve3bt5OYmFjkfcuyiI2NLbLNwfax/3ccapvC9w8mLy+P9PT0Io+TyTIMDKWCN7CD69Yn37bpXb0m5aOimbZyObc1a8mCHdu4ctrHZOXnF0sHGVMqmj43dWPR9GUsm7WK68ZfTlhkKIZhSB0ZccY6le3Z2G9qbmJoGFFeLz2qVqNGfAJNy5Zj7d69lIuMokZCApd/+hGzN20slrbsOA7XPn45pmnw4WOf0rJPE5p0bxgMWAtxJjrVfbNpGFiGQZTHE6gh1aQZjtZcUrc+HtPi85UruL1la/63bAl3//gdfscJTss/3oCR5bKo1bwaDTvU5ZcpM8ncl83V4y4N1piRKTziTHUq2/P+CwrEhIRQKyGRGnHxtKlQgerx8czctIHuKdUwlUG/qZNYv29vsG8+kWnzWmuGPX0luVm5fPzMVwwc1YcKtZIxLQNHSl8IcUZ79913cbvdzJw5k1deeeWoP3fPPffw1FNPMW/ePCzL4uqrrz6u73cch4yMDGILFkE7VeRO4zg9+uijREVFBR/Jycmn7FgKOzy3adKiXDKO1gyp15BykVF8/88a7m7dlhV7djPoow/ZnZ0V3P54alGYlolhGNQvGG1NTI5n2HmjGFp7BBmpGZI9Ic5Ip0t7Lrx5dZkmpmHQuXJVqsfFc37FymxJT6didDSNy5Tl6s8+5stVK07oYrcw0KS15vL7BnDVw5fwwcMf0Tvycn6cOL1Yz0uIk+V0actKqeANrKEUF6RUx3YcbmjSFI9p8e2aVdzXrgNfrlrBDV99Tq7fHwxEHQ/DNDBMg/YDWzLytWFk7svi0go3MLrbw5I5Ic5Yp0t7DtaFsyziQ8Oom5hE58pVqZNYivnbttC3Ri0iPB4umjqJRTu2B9v+8fTNhYFjb5iXW166hg6XtuaRwRO4MPZKVsxdLdfZQpxm/hskz8vLO+S2KSkpjB8/nurVq+PxeI76O8aNG0e7du2oVasWd999N7NmzSpSE/toPfnkk2RmZjJw4MBj/mxxOm0DUElJSQDs2LGjyOs7duwIvpeUlMTOnTuLvO/3+0lNTS2yzcH2sf93HGqbwvcPZvTo0aSlpQUfmzZtOtZTLBGFN7BVYmNRCq5u0IgKUdF8/89q7mjZhr25uVz6yVTWpO7BUOq4R1xdHhftBrZk9d/r2LVpD/d/cicxpaIBWbVDnHlOx/a8/+hr6/IVqBwTS8+U6mzPyiTS4+WCajW4+6fveX3+nxTeth7Pxa5Siq5Xng/Aj+9PZ+Cdfeg0uG1wpFWm8YgzyenYliHQzkzDoGmZcvgdhxHNWhLicvHFqhU80qEzc7ZsYujnn7A7Ows4/gGi+HJxVGtShXnfLSAsKpTRE2/FcgduaCVLWZxpTsf2XNg3ey2LWgmJdKxUhcaly/D3tm10rlyFKjGxXP3Zx3z/z+rgtseTray15oLru+DP9/PblFnc/sYN1GpRHTRoR/plIU4XycnJRQLljz766CG3bdSo0XF9R7169YK/ly5dGuCAGMiRTJo0iQceeICpU6ceMIPsZDttA1CVKlUiKSmJn376Kfhaeno6c+bMoUWLFgC0aNGCffv2MX/+/OA2P//8M47j0KxZs+A206dPx+fzBbf54YcfqF69OjExMcFt9v+ewm0Kv+dgPB4PkZGRRR6nE8swsAyT0hHhuEyTIfUaUi0uns9WLOPyeg2I9oYw8ruvmbt1Mz7bxneMS0QXjtDUa1uTu9+/mejESK6sfguXlr+ePVtSJU1YnFFO5/Zs7Dc9p3m5ZJIjoxhQqw47MjPZnJbGtY2a8O7Cv3lm9kzybTu47PuxUErh2A7DJ1zNZWP68/a9k+nmHsRnL35zQlkZQpxsp3Nbhn8HiWonlgquphcTEsIHixZyT5v27MnJYcS3X7Fu7158tn3MQWXLZWJaBp2HtGPU28NJ3b6P/olDuanpaHx5viPvQIjTyOncnvdfNbNmQiJtK1SkdXIF5m3dQsXoGDpWqsK4Gb8yafFCbMch/xivswv7Xsttce//RtL6ombcf9ET9Ai5lL9+XiyZUEKcJjZt2lQkUD569OhDbhsWFhb8ff+ZCIX2j1fsz+VyBX8v/NtwLH8DPvzwQ6655hqmTp16QN3rU+GUBqAyMzNZsGBBsPjWunXrWLBgARs3bkQpxYgRI3j44Yf5/PPPWbx4MUOGDKFMmTL07dsXgJo1a9KtWzeuvfZa5s6dy8yZM7npppsYNGgQZQqWRL700ktxu90MHTqUpUuXMmXKFCZMmMDIkSODx3Hrrbfy7bff8tRTT7FixQruv/9+5s2bx0033XSy/0mKnWWYWIZBqfBwQl0uLqpZmyZlyjJ5yUKqxsbRqHRZPly6mAXbtx3X/pWhaNKtIZtWbiV9dwaPfz+WxAoJgNSdEKI47V8nplX5CpQKD2dI/Qbszclh4uKFDGvclOW7djJp8UL8jnPMQSjDNGjUOTDCMvvzeQwe048+w7tjSyaUEMXO2i8QZTsOVzdsROWYWJ6fO5te1WuQGBbG2wv+YmPavmNvy4ZBaEQIleqWZ/GM5cSUiubhr0bjCQ0sxiKZUEIUn8JAlKkUdUsl0axcMt2qpjBv6xb+SU3l0rr1+XXDOr5atfK4MhsBWvVtiuNo/vhyPne/fwuNOtVDa+mXhTgd/DdIfrRT6xISAvfL27b9ew++f0Hy4jJ58mSuuuoqJk+eTM+ePYt9/8fjlAag5s2bR8OGDWnYsCEAI0eOpGHDhowdOxaAO++8k5tvvpnrrruOJk2akJmZybfffovX6w3uY+LEidSoUYOOHTvSo0cPWrduzWuvvRZ8Pyoqiu+//55169bRqFEjbr/9dsaOHct1110X3KZly5ZMmjSJ1157jfr16/PRRx8xbdo06tSpc5L+JUpe4cVu+ahoor1e2pavSM+U6kxesojpG9ZzXukybMlIJzUn55hShQujtzWbpnDv/0aSUC6WobVGMCDpGrav2xm8eRVCFI/gyIfWdKmSQpTXy5UNzgPg+q8+o2VyeXyOzbqCVT6PhWEa2H6bW1+6liseuJgPHvqIbq6LmfzYp5IJJUQJKKwt07RMWWzHoXPlqnSsVIXxs2awNzeHyjGxbNi3l2xf/jFlQ5mWieUy6TykHXe/fzOZezMZmHQt19a9nbzsY68bIYQ4vMJAlMswaFo2mZoJiQyoVYcVu3fx8IxfaV+xEmm5uWxOTzvmwJFSCgU8/OVo2l/ckocufpoenkuY9fk8yYQS4gwVEhJC8+bNeeyxx1i+fDm//fYbY8aMKdbvmDRpEkOGDOGpp56iWbNmbN++ne3bt5OWllas33OsTmkAqn379mitD3i88847QOAP7oMPPsj27dvJzc3lxx9/pFq1akX2ERsby6RJk8jIyCAtLY233nqL8PDwItvUq1ePGTNmkJuby+bNm7nrrrsOOJYBAwawcuVK8vLyWLJkCT169Cix8z6VCqfm1UksRZmICEqHhzO8STNmb95E/6mT2ZOTfXwrbClo2KEuW//Zwc5Ne3j4y9GUTSmNWXBDK4QoXvtPzbu8XgPcpslFNWpRNTaOvh9O5Js1q4LbHktbNi2TGs1SAJj9+Z/0uakbF9/ZJ/i+jLgKUfzMgkBU72o1cLQmKTycm5u24O0Ff3HLt1+R4/MH68kcbRtUSuH2uKhUtzxLZq7AG+Zh3FejCYsKTAGwJRNKiGJXeA0d6nLRPaUaMd4Qrm7QCFs7dH7/bRbv3BEc0DmWoLIyFOd1qgsEspRvemEorfo0wTAMqQklxBnqrbfewu/306hRo+DMr+L02muv4ff7GT58OKVLlw4+br311mL9nmOltNxNFIv09HSioqJIS0s7reaoH42s/Hw+W7mcCI+HJmXKcuu3X9G7eg0G1KqLsd9KPkdr/g8LqdO6JqM6PsC2f3bw1K/3B4JRBXWjhChOJdH2zsT27Hcc/LaNaRhc/dknvH/RAJ6c9Tur9uzm0Y5diPB4cBnGUWcy2X6bVfP+oVrjKnz+8ne8efdEBt7ZhyH3ndqVM8TZS9pyUVpr7v/tZwbXrU+e38+YX35kZPNWtEwuX2SVvaPZjy/Px9qFG4gtE8Pt7e/DHeLm2RkPERETfuQdCHEcpD0HFNZ/2paZwbsL/+betudzx/ffEOnxcFertrhME7d59NfH2tH89eMiGnWpz4QbX+fH937j9rduoG3/FsFZCUIUpzOx3Z2IwvPdu6oykRGHbpvpGTYx1daeM/8uxUn+UgnC3G4url2XFuWS+WHtP1SLi2dw3Qb8sHYNMzduOOb9ndepHtvW7mDVvH+49ZXrKF+zHKZlSt0JIUqQZRh4XS4MpXioQydsx2Hq0sU80rEL+3Jzmbp0Mbl+/1Gn65uWSbXGVTAtk18mz6RJ94YMuqtvyZ6EECLI0ZpRLdtQNTaOKUsXM6BWHVokl+eTFctYsXvXUdeTUUphuS1SGlVm0a/LyErL5u73bg4GnyRLWYiSYxoGIS4XlWNiubrBeazdm8ravamMaXs+K3bv4vMVy48pS1kZioYFmVA/fTCdvrd0p/3AVhiGIQsACSHOCBKAEkCgg4z2htClclUurVOP79as5tEZv1E5Jja4zdGmCiulqFg7mXs+HEGLXo146OKnubbe7Wxbu12CUEKUMNMwKBcRiWkY3NOmPfGhoVzy8RT8jkOIyxW4SD3KG1fTMrH9Ntc8Npi737uZP76czxUpNzNx3MclfBZCCNMwCLEsbMdhYO26XFijFq/Mm8vUpYspHxUVnIZ7NDevhmFgWiZt+jdnzJTbSKqYyMh2YxnR5l6yM3NK+lSEEEC5yCiqxMRyU9Pm7M3J4YppH1EqIvyYS18UTru7872bGfrIYCY/+glXpNzMjE/+kCCUEOeQ2rVrEx4eftDHxIkTT/XhHZJ1qg/gXKe1g1IGWvtRykJrP6ABE6VObnzQMgziQkOJDw1lb24uo1q2wTQUnd5/m66Vq3JzsxbB7Y5Ea02bi5qzedU2pv9vNlc+NIhyKWVQhsL22zIdT5zx9m+zRX/aBGL7GrABhVIn90+tZZporelToyYAzcslc2WD83jgt5+Zs2UTr/bsQ1J4BNZRTMkzLZPaLatjWiafvfAt4dGhdL3yfAAc28EwZRxDnNn+7YedA/pdrW2UMvfrm62TWpDfNAxMoFZCIgARbjfjOnRmTWoqw7/+gpHNW9G3Rk1wnOBN7OG43Bb129dm+v/+YMWc1Yx65yYiogOZUNKexdng3zb7b9st2kc7BPpmA6VO7rWoaRjYjkOXKimk5+UyqE49mpdN5qrPPkaheKpLd8LdblxHMSVPGYqWvRsD8L8nv6B++1o063FecDERuc4W4uz39ddf4/P5DvpeqVKlTvLRHD250jjJnKx3AdBZE9HaB7lfo50M8C1C21vB2Qf+DYGLYXtPwc1s4AJZa19Bx1lyClfkaZlcng6VKvPH5k3UTkhkVKs2zNq0gekb1h3Vfgov0MtULcWNz17F4Hv68cHDH/FAvyfYtzNNUv7FGU1rP/j/Qef/DfYGdN5McFLRuT+BzkPnfR+4kc2fG9jeSUPr/P0+7yu4oS05+xc5faxjFwC+WbOK1y+4EKUUHy1fSlb+0a2sZVomtu3Q77YLePiL0ezZmso9FzzKjx9Ml+Kn4iygcLLeRikDJ+stAJysSYH+N/cXtJMJ9gZw9gD+gvYc+P9ea7ugPZdsOyhcyfaqho2oEhPL9/+s4fJ6DbioZi2+Wr2SxTu3H1Vmo2EamKZJsx7ncdvrw2h9YVOeHfYqT1z1Ir78kv2bJERJ09qGvF/Qdirk/4H2bwb/CrRvGTh70HlzARvy/w4Ep+w9gWvx4Od9wevuklIYKA5zubm1WUt2Z2ezKT2dF3r0YmtGBp+tXI7fcY7qb0phzaehj17K6Ekj+PPbBdzT8xGWzlwp19lCnAMqVKhA1apVD/qIiIg41Yd3SBKAOtl8iwDQvvko5ULn/YgyItBZ76LMMuj0h1Guqjhpj4LyQN6v6PwloLMgf35wN4EVA0s2IBXh8dCtajWua9SEmRs3cMu3X+G1XMH3j3ZK3oW39GDnxt28d/9UtAaUQjtalo4VZzSd+zWYZSD3WzDLQ840sCpAzieBtpzzNeCAfznkfgM6Byfz9cCH8+aC/nfai9b+EgtIWYZBqNuN1prHO3albGQkV0z7mEU7tuN1ubAKRmSPxDQNml/QiJikaN6590NWz19LVHwEtm3j98mNqziDOXvB2Yt29oK9qyDgtAaw0fm/oIxwdOYrKDMJnXYvyoiC7Iloewc4O8C/KhjwPRmDRUophtRvwMW16/Luwr95cvbvRHi8wSl5R9O3ekLddBzchrnf/M1Xr/1IeEwYvjyfBKHEGU0pE537DcqMRedMQ1nl0Fnvg1UDnfkCuOsFfloV0DlfgL0O7M3o7E8Lgle/A/+2gZIMSJmGQYTHQ+mICMa2bY/fcRjw0WT25eYGs5OP9jq7x7WdcHtcvHjLW+zcuJuw6FC01hKEEkKcliQAdRJprVGedoG0YHd7AJQrMK0NV63ATzOhYOO9gYvenE9R7jrotPvAXR9yv0DnzgjcvOZNZ/+OsiR4TJOa8QmEulzc2rQF9Uolcf2Xn3HXD99hH8UITeHoTFyZGLpf05F7p45kzV9r+XD8NPJz8mWuujhjqdCLwd4O3t6BG1hvJ3CywFUPtB+McFAR4F8HVgrk/YpyVUfnzQZnPeDDSX8osLP8uQXZFQElcfOqlKJNhYoAVImJ5eHzOzF16WL6fvgBK/fsPursCcdxaHVRMx74dBQpjaow8eGPWTXvH7nQFWcsZcaCWQFlxIBVFWWEg1kFpdxglgtsZMQVbgyAzv8TZZZCpz2IctXGyXgO7V8Pzm7Inxfcd0m0ZcswSAwLJ9LjIdTlYlyHzrgNk0EfT+G5ObPhKKYImpaJYRjUblmd/rf34oanr2TGJ3P44uXvZHBInLG09qNCB6Pt3ajQQWgnFRXSC3QGyt0UtB9lRIIKR/tXglUdnfMReJpD9gdgBPpsJ/PVwA5zfwOdvd/+i79taK1pW6ESLsOgS+WqXHNeYx79/TcGfzKVPdnZOEfxnYUB8E5D2vLYd2MwLZP3H/wfOzfultqrQojTjtSAOomUUmhvr8DPkAsCr4VdjNYaI/x6tM5HRdyBdrJQ4TcFOlJvz8CHzUSUCsHJ/REj5nmctNGo8BHgW4jjW44RNiQwhc9IBBwCNaROfP53Yapwg6TSVI2NY+amDazbl8rHAy4l1+8ny+cj2vvvyOvhjHxtGBmpmYztO57E5Hgada5HjaYpJ3yMQpxsSlloIzGQ6aT9KCu54GdhDSgnkOFo7wRXXfCvAXdr8K8F5QIzGfL/QrkaofMXofPnotyNcNIfRIXfCphoxwEjFNAo5TrCER0do2BE9dluPTENgwlzZvHg+Z2oFhfP1ox0ykREBrc75D4Mg57XdkIpxcODnmHGR3/gz/dTq0X1YjlGIU42rTVGaL/9fjoYYYMDg0Vh16O1DxV+Y+BnyODAhzztAj+t8oGf/tUoqyJO6jWomJcg93O0igRPe7R/K5ilCNSdsYqlvmNhLcZBdeqR4/Px+l/zCHO5uLFJM/bkZBNqufBY1hFrNobHhHPd+MtZNH0ZT1/zMjWaVqXFBY0pVSlBlnQXZxylLLSrXkEfHR346W4RyIzyXgD4UWFDAwGqsBtAp6O8FxR8ODQQcM75BOXtis7+KPCazsZJfx4VMQp0BlqHFgSii6e+Y2HwyGWaPHR+J9Jyc5m4eCEfDbiEaK+XHVlZlA4/8lQarTXXPHoZAHd2foidG3dTpmppul7R/oSPUQghipNcXZxkhR3N/heg/77mRikPyggLTO3BAG/XQGHUiNvROgcVNjTwISMuMPqa9QEq9GJ01jsFo66BulKFIzbFlTqslCLC46FFufLc3aod+3JzafvO64yb8StZ+fn47MN/T2ExRE+ohyoNKvHc7HEkJsez6LdlxXJ8QpxshReeB/40gwEjZSYGAsFWFTCiUJ4m4KoPVi3wtAUzCZQXZVUPBKTMiqBz0ftuByMs0Kb9q4KjrsXRni3DINQVOL7bW7Sma5UUbv32KwZ9NIVlu3ZiO84Rs6GUUmitKVetNDe/OJQrH76Ev39aTPqeDBltFWecf/vgov1zoC0bKOVCGZGBdu2qFghQhV4UCDqH3xIIVIUOCOzMqoRSbnTOlyhvB3T6WNCBKX7k/gAEasEV55Rbl2lyQbXq3NWqLX9s3kSrN1/lrQXz8TsOfufw7dFymSilSEiOo27bWjz124PYts2av4+u3qMQp5uD9cmBn2q/vjkelDcwaGuloMzSBW3YBSEFP1UouKpD7rcoTwfwLUFnPI8yvJD7I9g7Csph6GKpAWcVTMmL8nq5t217UmLj6PPhBwz78jO2ZqSTb9uH/Z79F0coX6MM474aTbv+zZn/w0Lyc/Oxj3CdLoQQJ4sEoE5TSlkFF75G8AIYvOCqEwhIhd+G1rmokP4o5UH714C3JzpjAhhJgRGbjGcCtaMKFEcHGepycX7FSmxOT6NJ2XI81aU7f27dwperVx7V5w3TYMKMhwiLCmVYw1Hc2flBZnwyR1L+xVkt0J4LL4ZV4OIXE+U+D6yq4G4GrgZgVQJnF8rbDuyN6OzJKFdtyH4HnTcveCFdXDevA2vXBWDt3lTeu7A/sSEhfLB4Ibuzs45Ye0IpxZUPDuKC67vw5uiJ3Nn5QcZd8iyWS1beEWevwr45+LsRDhjgbl0QkBoZ6KNDLgx8QOegXLXRaaPB3Qj8/+BkvkYgU7l4pvRYhkH5qGgqRcewes9urm3UhOFNmvP16pX8vnHjUe0jsXwCj317D7s27ubaurdze/v7Wf3XWplaK85agQCzWTSLyYgFIwZllUeF9AAVA97OgSm49jpUyAXo3B/B/gfMBHTms2Bv2K8G3Im3F8dxuLh2PXyOQ57t54MLB7AvN5cPlywi1+8/Ys1G27YZM2Uk9drW4oH+T3F314d5Z+wUzKNYWU8IIU6G4w5Avf/++7Rq1YoyZcqwYcMGAJ599lk+++yzYjs4UVRg9KYwMGUCHvC0DFz0RtwOaJQRAe4m6KxXUJ6O4OzE2Tca7WQUKZJ6vAoLI7ZILs//tW7Hkp07uPaLT9mXkxMMcB2uc7RcJi6vC8d2yM/1Me7L0bS5qBmGYUgQSpxT/h2VNQI1aJQL5WmDctUBVxNQoSh3C7RvVaBWhfs8nPQH0XlzghfMxRGI8jsOL/XoTeWYWG78+gu+XbMquOLW0RZAzdyXRfuLW/LI1/8XfE1GW8W5ItA3GwUBqRBAgbdHQUBqRGAjq0qgiHn6eFToQMifi5P+OIFpeSeusM1eVq8BV9RvyCfLlzL215/ItwtX0j18loZpGri9bnKz8wiJ8PLi3EdJOa9yYAVMCUKJc0ThdXaQEQNGIsqVAt4+YJQK1HZ0N4PcHwILEhjxOPtGof3r9hskOv42Uzj11W2avHpBH0JcLi75eAoLdmxDKYVpGIfNbDRNMzjrICstm8vvG8B14y8Pvl/SK3YKIcSRHFcA6uWXX2bkyJH06NGDffv2BW80oqOjefbZZ4vz+MRhBDrKgtEbFQkYqPDhgA/lagquGoEMirDBYG/CSb0R7aQFR29PdKSmYnQ0EW4Pl9VrwFUNG/HU7JmM/vE7fI59xCk8Lq+bVxc+yXmd63FXl4fo4b2EWdP+lAtdcc4qctFrVQIjHkJ6gFkO5WoWWK1H54K7Mc6+kejcGcUSiLIMg+SoQO2nchGRvHZBX1bv2cPwrz/n721bjzja6tgONz57FaPeHs6Mj/+gu+cS7un5iIy2inNWoG8uuJE1Swem6EXcHnjP2xllRKOz3gr013m/4qSNQev84OeP9wZRKYVlGMR4Q4gNCeGuVm1plVyee37+gSdn/c7R7LVK/Yq8+OdjxJWJ5eqat3Jh7JVsXLZZ+mZxTioakDLALI3yNAOrGrjqgFUH8mcEMpWNOJzUa9G+1cWSrWwoReWYOAylaJhUmic6deObNau46Zsv2JaRccS+2e+3efCzuxhy30DevX8KXa2Lef2uD4pM1RNCiFPhuAJQzz//PK+//jr33HNPkZuMxo0bs3jx4mI7OHH0CmtVBH73grdb4HdvLzAroXM+R4VfB/ZWnNQrAwUYT3CkxlAGyVFR3NmyDX9v28obf8+jW0o1vJYrWOz4UEzTILF8PHnZ+fz14yK6XNmeZj3Pw7RMqSEjznmBTEezYLUeN4T0BbMiytMO7K2ABZ5WOPtuQ+d8dcKBKMswsR2Hp7t0J8rr5YHffsZtWjRIKo1pGIe9ITZMA0+IG7fXzewv5hFfLpahjwYKNUtWozjXBdtyYe2ZsMsKakYNCqx0mz0VFXEn5E3H2TsiMLU+mK187IEopRQu06RDpSpcWKMmn61czg9r19C7Rs3g4gJHymwsVSGBDcs3s2nlVgaP6UfFOuUlE0qc8woHfYFA5pNZDtyNwd0isNhI/txAcMoshbPnKnT+omLomw0crXm5Zx+UUtz143dUj4snOSoa0zAOP+PAMomMCwdg5qdzqdk8hf4jAwXXpS0LIU6l4wpArVu3joYNGx7wusfjISsr6yCfECdboKN0BzpF5Qmk/FuV0bnfoMKuB52Os+cKtH/DfoGoY79ZNJQizO2mamwctzVvSYtyyVz/5Wf0mzqJfbm5h+0cDcMgJNzLPR/exohXruf7937joYFPsWPDTglCCVGgSM0Zb9dARpS3Ozi7QNuokJ44affiZL0HHP+oq2kYuK3AxXL3qtV4rFMXvli1gg7vvskXq1Ycsfip32dz+X0DeezbMYSEe3no4qf58pXvj/2EhTjLKWWCp1PBKnvXooxIdM7HqMgxkP8XTuoNaGdfsNj/8QqxXDQpU5axbc8nxhtC/6mTueGrz46YOWEYBjWbpjDmw9voP7IX79z3IeOvfIGczFwcW4LKQsB+A78qHOVuBJ5W4GoMvoUoTyNwpeCkXo/O/e2EAlGWYRDiCgzsXlX/PG5u2oKnZv9Ox/feYvHOHYcd6DEMA9tvM3zC1Yz7ajRbVm/jgX5PMO+7BdKWhRCnzHEFoCpVqsSCBQsOeP3bb7+lZs2aJ3pMohgFp+iZ5QM1ZUIGglUdcr9GhV0KKgRn73B0/t/A8WdDhbhcXN+oKSt372b25o08eH4n4kNDjzhCA9C2f3N8eT4mDHuNVfPWkrptL4YhKcJC7K8wUAwa5T0fZZaCkH5oJxXsjRhhQyDrFZyM5wC7oObL8Y263tysBR7T4u0Ff9GpclV6V695xKwMy2WSVDGRsimlmTjuY37/eA7b1+/Cn++XmhNC/EewlqO7UaBWVNi1KDM+MG0+8s5AtvLem8HefNxt2TQMKsfE0rVKCj+v+4fdOVnc364jnoJA82EzoRS0G9iSNQvWMWncJ2xcvoXU7fukLQvxH/9O0XOj3A0C9aHcLSF/IVjlA9nKaffiZH8MBAZ7j+da23YcRrdpB8Br8//khsZNaZBUGuMIWcqmZVKndQ3CosJ4eeS7zPt+Ebs2px7z9wshRHE5rgDUyJEjGT58OFOmTEFrzdy5cxk3bhyjR4/mzjvvLO5jFMUguAqXmQRGZKCYoqsB5ExDuZuBqyY68ynI/wOt/cfcOVoFRRNrxCcw7vxOVI6O4YLJ79P6rVfZlnn4ueqGYeDyuGjTrxnPzHiI0pVKMeuzQD0omcIjRFH/1nDTGN52KCMWQi9DO5no3K9R4TdA3m/ozBdA+9Dad1zf42jNjY2bcVerNrz+1zxSnn+a9xf+fdj6EZYrME2naffzuO7Jy7nm0cHM/eZvtq/fKSn/QhxEcJDIVT8QiAq9AmVVCtSICh0MyoPOGAf+tQV987H1iWZBcfIuVVJ4pEMX8m2bFm++Sr8pE8n1HfpvQ2E7L1u1NC17N+apXx/AsR3++nHRCZ2vEGerfweJCla4dZ8XWAzItwicNIzQfpA9GZ09GXCOOahsGv/eso3r0Jn+tepw5w/fUv2FZ5i5aeNha68WFiVv0bsx938yik6XteH3T+eSvidDZhwIIU4668ibHOiaa64hJCSEMWPGkJ2dzaWXXkqZMmWYMGECgwYNKu5jFMUomAZslgYUeM4H5YLsj8DJRHlaBZaYNRLBXe+Y928oRa/qNVmduoct6el8MvASSoWFk+v3B1OID8a2He6dejva0VySfD17tu1l2NNX0G/EBSdyukKctfbPSDK8nQO/h14JaHT6Q6i4T8HZAb4FaG9PwDqm4qOGUnStmoKhFN+tWc3NTVtwef2GpOflEu72oLUuckFcyLRMWl/UFDRMeuQT3r1vChVqlePlv55AypILcXDBqfDuhoGped5eKE9znLR7Ua4agYUJcr8CV0O0WS4YiD66fSsiPR6ali3Hl6tWEOFx82afi7BMg1y/H5dhHLQtA7g8Lh6Ydhep2/ZyY+O7cGyHBz+7i0ad6wVvaoUQ/yoSiPI0R+scVEhvtG8FOucTVNwU8C0Hewfa2+m4ioL3r1UHgO/+Wc2Ebj1pXb4Cabm5RHm9h/3cZWP6A/DQwKeY/tEftL6wKfd9POqYv18IIU7EMWdA+f1+3nvvPTp16sTq1avJzMxk+/btbN68maFDh5bEMYoSUFgYFatSoJCiqw4qdAA69xt01itgVQ1kVOicYxqlKbyITYmN4/nuF5AYFk6XD97h/PfeZP3evYfMhDLNf/9XtG2Hka8PCwafJAtKiEP7NxBlY4T2C9R+Cx0ERiw6dXBg2WgMcPYe874LFxMY07Y9NzVtznNzZtPg1Rd5bf6fh7xhhX+Xkbb9NvXa1eK52Y/gcgeC37bUnRDikAIZUSZ4WgcCUa4Ggam2mS+h86YH+mudjta+Y+qbrYJMqO5Vq/FEp27sy82l+Zuv0m/qJNLz8g47tRYCgW7LZTH+h7E07d5QipILcQT/BqJcKG+nQP3G0EHg7EbvHQauakA+2kk7rqmtjta82KM33apWY/jXn9P49Zf4/p81R/VZ2+/Q7eoO3Dv19uBrMr1WCHGyHHMAyrIshg0bRm5uLgChoaEkJiYW+4GJkyM4Nc9VD6wUwIMKvwXsdejdXcG3bL/iicd2sdkquTypOTmk5eXyvwGXUDoign25uYft5Bzb4dUFT9B9aEeevvZl+kRfwa8fzpRiiUIcwf7LPquwGwIZEu62KE8L9N6r0FnPB9vwsbRlyzCok1gKQyn+3LqZO1q0ZljjpuzIzMR2nEPWkVGG4vKxA3jg0ztZ89da+iVczeju45DqbkIcWWEgSoX2A1wo5UZFjILcb9F7BoC9Y7+++ehvHAvb84rdu0gKC+fDfhdjGQYZ+XmHnSofkxTNm8ueoVaLatzR4X4GJF3D6r/W4fcd/zLzQpwLgjWilBdC+gMeCL0EjDj07h6Q8/l+A0lH354MpWhRLhmAeVu28FLP3nSsVJntmRkF+zr43wXbtrnrvZsZ8cp1fPv2z/SJGsKLt751XJlYQghxPI6rBlTTpk35+++/i/tYxCkUKIjqQXk7gKs++Fehwm4EKwVn7/CCFbaOrXCiUorkqCje7HUhCaFhdJ34Dp3ef4sVu3fhHKKOhekyiU6MAuD7d3+jUp1kajRLQWsto61CHIXCVfO09qMiRwde1NmoiHshezLO3uHg7C3IoDi6G1fLMPA7Dg+d34lhjZvy7B+zaPHWq0yYMytY/+3A41AYpkFoZCjTP/6D/FwfHS5pjW07ctMqxDFQyoSwYWDEo32LUFGPADZO6hU4uT8TWHTg6PpHs2C6XefKVXmmW09Sc3Jo9fZr9Js6mdScnEPWkTEMg/iysezcuJuFvy6lYYc6JFUKDD5KlrIQRxaceWBEo8KGgE4HVz1U2OU46Y/ipN0HOu+Y6jYWLvTzRu8L6Vy5Kjd98wVt3n6dz1cuP2RAyTRNQsK9mJbJz5N+JzQyhJZ9mmD7bembhRAnxXHVgLrxxhu5/fbb2bx5M40aNSIsLKzI+/XqHXvtIHEaUZHg7QX2Dsj7GZQbI2wIOu830AZ42xzT7uonlWZ3dhYZeXl8MvBSSkdEsic7h4T//H9TqHD6zm2vD6Ntv+asW7yRr9/4iQtv7k5UQlRwSoAQ4tCUskBFBqbxRD6MUgZO1suB+hPkQc408PZE4z2qejKWYVAuIhJDKZbs2sGtzVpwa7OW7MjMJC40NLjNfzm2Q78RF9CyT1NqNkth0iMfU7luBVpf1ExGXIU4SkoptAYVPhyUC50xIbCAiKcd5H4NZhW0q8ZR14YylKJ6XDzTN6wnMSycjwZcgqEU6Xl5RHo8B63XqJSiTNUkbnphKL2GdWHWtD/5Z9F6Lr6zL26vK9h3CyEOTSkTVBQQBWHXo+2tkPdroG6jvQH8K9HeXoBxVH2kaRjUSggEg5fs3Mlz3S+gS+WqbMvIoHREBI7WB23Ptt/mivsHEpMUjSfUw9v3fkjL3o2p3qSq1HcTQpSo4wpAFRYav+WWW4KvBS6ONEopbFsyVc5kgf+WJpilQbVCmeXQebPRaaNRsROD22nt32/52UMzlCIxLJz3+w6gTEQk3Sa+y+7sLN6/cAB1E0sdspZM58vbYRiKMb0eJSstm9hS0Vw0omexnacQ5wKlTLRVNfAkfATKLIezqysqpB/KCASOCv92H4llmoFMqPYdKRUewYt//sFTs2dyZf2GjG3X4eCfcZkkJMeTWD6e9x6YyqRxn1CtUWUadalPaERIsZ2nEGc7pSw0oYCDCukBRhJkf4DO+RQV+85+K2QeuW9WSqGA9hUrUSYigsz8fHpMeo8oj4cP+19MUlj4QQNKWmv63NiNvTv28eCAp/CGeajeqApNe5xXAmcsxFnOSgn8DL8B8KNTB6OinthvSr29Xy2pQzMLspTf7HUh1eLjueWbL/lq9UrGdejMoDoHTwowLZNaLatjWiZj+z7O7M/nsXnVVu6XouRCiBJ2XAGodevWFfdxiNNM4GZUoY0YMOLAtzBQG0qF4+zqDt5OqLAb0WiUch3VPmslJpKWm8vu7Cym9B9ESmwcmfn5RHo8B735NYzAaxVrJzPg9t40u+A80vZkEBUXUZynKsRZTykrsFpe6IDAC1ZNVPh1OBnjIe93VPSLaLMUYB7xYtcyDBLCwjGUYtmunQxt2Ih72rRnX24OEW4PmgMzoSyXid/np0KtZFr0bsx9H91BblYevnw/SinJahTiKAXap4m2agIalBcVORbsLTi7e6HCR0BIL7T2HXXfXDU2jjmbNxHp8fDJxZcS7naT4/fjtawDBogK++qQiBCSq5dhzJSRJNcoQ3ZGDmFRoZLVKMQxUMoMLCAS0hetc8DbEzzn4+wdBtqHinoSbYQRWMX28BmGlmFQJSYGgKW7dvJYx64MqF2H1JwcYkNCDpoJVZjpVLF2MuVrlOWaxy4jfU8G4dFhgZVuJRNKCFEClJZlD4pFeno6UVFRpKWlERkZeaoPp9hprUFnQP4cdO5XGNHPonO+AZ2DCr3omPazdNdOasQn0Hvy+/yzN5X3LxxAo9JlDpoJZftt0IHaUIUjNIPH9OPKBwcV5+mJM1hJtL2zuT1r7QedhzLCcHZ1RsW+A9oPud9DyEWB+hRHMeLqdxz2ZGcTFxrK+4sW8ND0X+hfszbjO3c77OfycvJZ8MsSxvZ5nMTy8by+6Gm8YZ5iOjtxJpO2fHy0kwPZbwWehF0POf8DoyzK2/aY9rN89y7iQkLoOek9QPHxwEspGxFx0L7Z77dxbAelFMMajmLzyq2MnngLrS9qLgFlAUh7PlaBvjkb0Og9/VFxn4F/Ffj+hpBLQbmOaoqt33FYvzeVqnHxjP7pe6YsXcw9bdoztGGjw37OcRw+fuZLXhv1PvXa1eKpXx4opjMTZ7qzud0dTOH57l1VmciIQ/dn6Rk2MdXWnjP/LsXpuCbsv/fee4d9FBfbtrn33nupVKkSISEhVKlShYceeqhI4VytNWPHjqV06dKEhITQqVMnVq9eXWQ/qampDB48mMjISKKjoxk6dCiZmZlFtlm0aBFt2rTB6/WSnJzM+PHji+08zgZKKVAR4GmHCh2Kzp+PTh8DrurBbY5m9Q6lFDXjE8jx+Vi7N5V3+vajadlyaDho8VPTMjELLmaXzVrFeZ3qceHNPQDw+2SqpxDHSikLZYShtYOKfABllkXvG452UlFmXMGI7JHHJSzDIC40FMsw+HvbVi6sUYtHO3bBVzAF+1ArapmWyYq5qwkJ9zJ8wtV4wzyyyqUQJ0K5IWQQhPSDnKnorLcLlngPONqVtarHxbMxLQ2A/w0YRLnISDQHb8uWZeL2uMhOz2bTii10vfp8WvRqjOUyZcEQIY5DoG+ORBlRgaxGZaD3XgFGFMrwFCwucuS2ZRkGlaIDmVB/b9vKqJatGdqwUbBvPlT/bhgGy2atJKlSIsOevAJA2rIQomTo4xAdHV3kERYWppVS2uPx6JiYmOPZ5UGNGzdOx8XF6S+//FKvW7dO/+9//9Ph4eF6woQJwW0ee+wxHRUVpadNm6YXLlyoe/furStVqqRzcnKC23Tr1k3Xr19f//HHH3rGjBm6atWq+pJLLgm+n5aWpkuVKqUHDx6slyxZoidPnqxDQkL0q6++etTHmpaWpgGdlpZWPCd/mnIcO/DTt1Y7GW9qx07T9u5+2t47Ujt2lnYc/1Hux9Hzt27RtuPoiz/6UFd97in9+4b12m/bB93e7/frJTOW69zsPD3/h4X6sSHP6TV/r9O+/KP7PnH2Kom2d+6050D7sfeO0o5jayfjVW3v6KCd/CVH3ZZ9tq23ZqTr7Px8/cnypbrKc0/pm7/+4pDb235bZ6Vn6xV/rtaZ+7L0hBtf01Of/KxYzkec2aQtHz/H8WnHyddOzg/ayf1NO7612t7ZSdvpEwKvO85R72vBtq16X06ObvfO67rBK8/rtamph+ybtdZ67jd/a621/uatn/WTQ1/Se7bt1X6f9M3nOmnPx89xHO04fm3vvVtrrbW9705t7+qrHf/WY+qbl+/aqbXWevzM6brShCf183NmH3J7f75fb1+/U+/YuEtvXbtdP3HVC/qXD3/Xjn30fzvE2elcaXeFCs9376rK2t6WcsjH3lWVz6l/l+J0XBlQe/fuLfLIzMxk5cqVtG7dmsmTJxdPZAyYNWsWffr0oWfPnlSsWJH+/fvTpUsX5s6dCwSi+M8++yxjxoyhT58+1KtXj/fee4+tW7cybdo0AJYvX863337LG2+8QbNmzWjdujXPP/88H374IVu3bgVg4sSJ5Ofn89Zbb1G7dm0GDRrELbfcwtNPP11s53K2CKb/mhUg7BLwLQUMVNRjYK+D/D+Ocj+K+qWSyPX7mLtlM4916kqr8hWCS8r+l2ma1GiegifEzfgrX+SXyTOZ/+MiSfUX4gQU1p9QUeMCo6s5H6OinwQzGfK+RzsZR8yesAyDhNAwQlwupm9YT8ty5Xm0Y5fg+/9tz4Zp4A31ULleRaa98A1fvPw9Mz76g7Td6SVyjkKcCwJLvLtQ3k7gagx5v4L7PIyIWyB/HviXHlVmI0DdUkms3beXXVlZvN7rQirFxASLHB9Mo871yErL5ulrXmb6R3+wbNZKDFNWxBPieAVqqWlU5H1o7YPcX1AxLwfezPsRrX1offjMYcswqBoTC8Av69dxaZ163NC46SG3N10mcWVjSUyO583Rk/junV/5efLvaKRSixCieBXbFUJKSgqPPfYYt956a3HtkpYtW/LTTz+xatUqABYuXMjvv/9O9+7dgUAx9O3bt9OpU6fgZ6KiomjWrBmzZ88GYPbs2URHR9O4cePgNp06dcIwDObMmRPcpm3btrjd7uA2Xbt2ZeXKlezdu/egx5aXl0d6enqRx7lEKQOlQsDdGBV+O9ib0XsGgv+f4DZHShU2DYNQl5u3e19Ev5q1ueP7b2j6xsv8sWXTQS90C4shNuhQm/s+uoN+I3qyff1OtKNxDnFhLMTROJfbs1ImSrkCU/IixqDcDdH7RqCzPgCcggLmh2/LlmHgd2xua96S57r35K/tW2n2xiuM/O7rg9aPMUwDpaBOqxq0vqgZz8x4CNvvkJ2RIyn/4oScy205SHkhpC8q9Dp07o/ofcPA3hksEH6kG1dDKRomlebVC/pSJ7EUgz6eQrt33mBzetpB+2bDNAgJ91KndXUm/P4QTbs3ZNfmPSVyauLcci6358CUPG8gsBz1GMpMQu8ZiM79GdAFU/KOMEBUsHLtw+d34oH2HZm0ZBGNX3+Jl+fNOfj2lonjODQ4vzYDR/XmwWl3sXtzKr48n5S9EEIUm2IdorIsK5hVVBzuvvtuBg0aRI0aNXC5XDRs2JARI0YwePBgALZv3w5AqVKlinyuVKlSwfe2b99OYmLiAccZGxtbZJuD7WP/7/ivRx99lKioqOAjOTn5BM/2TGWiPM0ABSH9UGFDcDKewNl3N+i8I17oArSpUJE8v59PVixjQK06tChXvuCG9sDPOo7D3e/dQovejXl40DNcXnk4E2587aDLRQtxtKQ9F2Q3eloWPHOjYl4E33KcvddD/oKjGG01KRMRSbQ3hM9XriDG6+WOlq0Pvb3Lom6bmvzfxFtZ8MsSLkm+niFVbiIrLbsYz0qca6QtF7RlFQFWBcAODBK5m+GkjcbJePKo99MquTz/pO5h3tYt3NKsBRWjYw7ZN2utefKXByhfsxw3NL6LwRVuYNoL30h9N3FCpD0X8Jwf+GlWQEWNg9wvcfbeAPa2oxogqlcqCdMw+GjZEuomluLyeg2Bg9deNQyDC67vwtBHBvPJhK8YXPEGbmxyN6ZkNQohiol1PB/6/PPPizzXWrNt2zZeeOEFWrVqVSwHBjB16lQmTpzIpEmTqF27NgsWLGDEiBGUKVOGK664oti+53iMHj2akSNHBp+np6efkx3jv1PyyqPCR6B9SyD7Q1TsZJQRitZ+tNaHXVXLUAqPZTG+U1f616rDS3/O4ed1a7mnTTvqlkoqsqT7/oGmdYs3Uq9treCKeH6fLVPyxHGR9hwQmJLnR0U/FVglL2M8eFqjPI0KRlqNQKbUIVbiKcyEGtqwEV7LIiM/n4s/+pDzSpfhrlYHrshlmAa27bB+6SbcXjcjXr2eyLgIHEdjGLKcuzh20pYDlCq4vPN2RTv7IPdryP8LFTsJKMyCcv7d7qD7UNRMSOSJzt3oXa0G//fT92xMS+OJLt1ICA0r0jcXZijn5eSxdc12Ol3elm5Xd8AwDembxXGT9hyglAr0zTHPo5SFkzYWFfUoyko+qkUGrILyFrc1b0mTMuX4c+tmnpv7B/1r1uaSOvWC2ZH7M0yDdYs3kpAczx1v3oAyFI7tyPRacc5o8OnVGF7vId93cnOBMTRp0gTTNBk+fDjDhw8/eQd4BjuuAFTfvn2LPFdKkZCQQIcOHXjqqaeK47gAGDVqVDALCqBu3bps2LCBRx99lCuuuIKkpCQAduzYQenSpYOf27FjBw0aNAAgKSmJnTt3Ftmv3+8nNTU1+PmkpCR27NhRZJvC54Xb/JfH48HjkaXDCylloI0YUCEQfhuYZXF2dQcjHBX9KtqIPuLysf1r1cF2HJ6c/TudKlehUkxs4IbWtrHMohevtt/mvo/uoHTlUqyat4aXR75D7xu7UaNp1eCFsBBHS9rzv5SyoOCmVIX0htAh6MxX0JkvQPRz/47EHoJlmFSNjcMyDP7vp+/5Z28qNzdtgdYaR+sDpuRZLpPeN3ajbpuaJNcoy3PDXyemVDSXjx1QYucozl7Slg9CRYC7GcqIA52B3tkDPC1RkY+iMQ9687m/C2vUYtWe3Xy4dDFXNziPWG8IplLYjnNAe3Z5XDz5833UbF6NnybN4K8fF3HFAxcTXzZOglDimEl7/pdSFprowJPwG1EhvXD2jYS8mRD7Dlg1DtuWTcOgTfmKmIbB83P/IDM/j8ZlyqKUwu84RQLKELjOvvbxyxg8JgfTMhl/5QvUbVuL7ld3KLmTFOIM9OeffxIZGXmqD+OMclxhbMdxijxs22b79u1MmjSpSCDoRGVnZx8wtco0zWC9n0qVKpGUlMRPP/0UfD89PZ05c+bQokULAFq0aMG+ffuYP39+cJuff/4Zx3Fo1qxZcJvp06fj8/mC2/zwww9Ur16dmJiYYjufs51SCpQLI+wycLYDGhXzDugMyD/4fPP/Mg2Dm5o044XuvZi3dTN3//Q9WzMzDkj5Ny2T8jXL4g3z8Mz1r/HL5JnM+Wq+BJ+EKEYq7MpAcDnvV1T0s+BpBXm/oJ20w466Fk7T6VOjJs91u4Ca8QmM/fUnPlq+9MDvUArLZVKpTnm+ffPnQFHyj/+QGjJCFBOlTDDLgKct+BaBqx4q6imw1xQsJHJoRsENbaXoGG5q0pwxbc9n6rIl3P/bz2T7fAcuMmAY1Giegm07PHnVS8z46A8W/bZMgk9CFINAJpSDEX5j4IW8P1CxH4CZFOibdf5hp+SZhoGjNRfXrstbvS/CUIq7f/yO2Zs2HtCWTcskLDqUpIqJvP/AVH547zd+mTQDX57vEHsXQoijc1wBqAcffJDs7APrdOTk5PDggw+e8EEV6tWrF+PGjeOrr75i/fr1fPrppzz99NNceOGFQOAP8YgRI3j44Yf5/PPPWbx4MUOGDKFMmTLBLK2aNWvSrVs3rr32WubOncvMmTO56aabGDRoEGXKlAHg0ksvxe12M3ToUJYuXcqUKVOYMGFCkbRfcXQK0/mVVSUwT13novf0Rud8jHbSC6bkHbomhKM1I1u0xm2a3PzNV8zfuoV9ubnB7In9FQabGnWux6i3h3PlQ4PYvXmPFCUXohhp7UdF3IfydkKn3YtOfwD86wAVWJ3nECzDoHHpsjQvl8zL8+YwZeli9mRnk+v3HRBQVkphmAa1W1WncdcGvDDnMTyhHnIyc6UouRDFILBKngXe7qiIUeBbiN7TD533M1rnHnEaj6EUI1u0YnN6Gvf9+hOrU/ewNzcH+yA1ZEzTxOW2qN+hNuN/vI8Ol7Zmz9bUkjo1Ic4phbMJtHZQMc+hXCno1CsDWcr2joL3Dt2eDaXoX6sO5SKjePC3X/hmzWr25GTjaH1gEMo0sf02DTvUped1nRn/431k7suSouRCiBNyXAGoBx54gMzMzANez87O5oEHHjjhgyr0/PPP079/f2688UZq1qzJHXfcwfXXX89DDz0U3ObOO+/k5ptv5rrrrqNJkyZkZmby7bff4t1vzubEiROpUaMGHTt2pEePHrRu3ZrXXnst+H5UVBTff/8969ato1GjRtx+++2MHTuW6667rtjO5ZzkOg/QYDXAiH4S8maiM58vKE5+8I7L2C99+PyKlZh00UAi3B4+XLqYbF/+AZ2j1pqbnh9K5yHteOa6V7mk/DDGX/WCFCUXopgoZYErJfBE56JiXgUzEZ3xJPgWH9Voa6PSZbmndTuuPa8xn61cweId2w8aUK7SoBIPfX4X/yxYx6Ay1zK4wg3s25lWkqcnxDnGBKsq6DwIuQQj4hbIngJZbx92cKhwql18aBgdK1bmnT4XsTs7m09XLMPvOOj/tGfbbzP++7HUalGN29rcy6By1zPlic/QjizpLkRxUMoAV8OCZ25U7Jug96EznigoTn74IJTWmsZlyvJyz950qFSZD5cuZuNBVro0LZP2F7fi5heG8v27vzKw9LVc3+AOQNqyEOL4HFcNqEBR6QPnGS9cuJDY2NgTPqhCERERPPvsszz77LOH3EYpxYMPPnjYzKvY2FgmTZp02O+qV68eM2bMON5DFQehlEIbsajoJ9D2TnTaCFT47SgjBCjIrDhEAVTbcXihRy8Mpegz5QPScnOJ9nrpVa3GAd9RaPVfa6lcrwKD7+kPgN/nx3Id1//iQoj9KGWhtR1YCtoIxdk7DJzdEHZ1QeHywxcm71Y1Bb/j8Npff/LU7Jl0rlyFCd0uwGsVbZ+maeCzHdYt2YjWMPSxwUQnRknhUyGKSbCdepqDlYLOm4HOGI+Kfnq/zAr7kAuHWIbBq736kpaby6WfTCXa66VqTCwNS5dh/6vCwgxlx3b4Z+EGmvY4j25XnQ9KFgwRorgEFw6JeQ1lxODs6Q9WbTAT/u23D9GWlVLc0ixQruSWb77ky9UrubrBeYxpe2CdR2UoDAxW/7WWiNhwhj19RTA7SkpfCCGO1THdncfExKCUQilFtWrVitz827ZNZmYmw4YNK/aDFGeuQHHyeCAfvANQ4dfhZDwDviWoyEfQZvxBO8f9C5vGekN4oXsvaiUksnzXTqrHJwBFs6Vsv83d799CXJkYdm3aw7PDXqXLFe2p3kSKkgtRHJQy0QSCx1jVUaH3g70FJ+12lLcvhF50mM8qlIIoj5eBterwWKeurN2bSmxICOFuT5Hipy63Rdcrzye5RllqNkvhvfun4g33csndF5bsCQpxrjFiwCwP4cPBcz5O2t3g5KGiHkHjPehAY2FbdZkmpcMjmHjRQMJcLtbuTaVqbNxBv+bxH+6lRtMU/v5pMbM//5OL7+orRcmFKCZKWWgjKvDE1QQV9SDk/oCTMxkVdjPa3fiwK1EDRHm93NumPVc1bMSK3buoEBWNyzSL9M2OdrjigYvpeV0n4krH8tJtb5NyXmW6XNG+BM9OCHE2OqYA1LPPPovWmquvvpoHHniAqKio4Htut5uKFSsGi38LUUgpA60tVNR9aHsXZL2Kip6AskoBhx9t9TsOU/sPItTt5uKPPuTPrVu4p007hjZsXGQ70zIpV70MlmUyuts4Vv65hvxcH7VaVC/x8xPiXFF4Q2pE3AaAk34fqDAI6Rnc5lDZUJZhclm9BmTn5/PZiuXc9v3XVIuN59OLLz1g9R3DNKjRNIWfJ/7OpEc+IaFcHK36NiW5epkjrtglhDg6Shlosxwq7FrInw2536Ni3zuqLOUQy+KzQZfhNk3Of/dNdmVn8foFfWhboVKRASTDNKjVvBqmZfJg/yfx5fkpXSWJgXf0PinnKMS5IHCdbaOixqGUiZP5JHi6ojzNjvhZR2vub9cB0zB4ctYMXpo3l06VKvNar6KDPqZpEhLhpXyNcrx+1/tMe/4bKtUtT5uLmhESEVJSpyaEOAsdUwDqiiuuAAKrz7Vs2RKXy1UiByXOPoUXsdqIhfA7wNMZZ9+tkL8IFfMG2qp40CCUZRhYbjcAm9PTDxp8Cm5bkOlUq0U1WvRuzOB7+pGblYs3zIvjOFIXSohipLWN8vYGTxvIm4GTPhZCh2CEHz4L1mWabMlIp15iKd67sD8hBf3I/stAK6UwTYMqDStSrXEVHvtuDN4wD7bfDrwnWY1CFItAv2uiXQ1QEfeAWQFnz0DQdqBvNqIOGlA2DYNIj4e03FzS8nJ5o9eFtK9YCQhMod8/CGXu1zf3Ht6d1hc2DfbNQojiUeQaOmQIKuwKdObr6Kw3AllRni4HHcAxlIKC1zenp9MzpTpPd+kefH//9myaJn6fTc1m1WjZuwn3Th2JbQdWRNe2xpSsRiHEUVD6v5Ujj1Fubi75+flFXouMjDyhgzoTpaenExUVRVpa2jl5/kerMNtJO/vQO1uhYt8rKKKYD3gOmd3gdxw2p6VRMSaGh6f/wsTFi7i7VRsur9+wyFS8/euTvXvfFD546CM6Xd6Wu969+SScnTgVSqLtSXs+OoXZTs7em8CIREU+TKAtuwF90KCy1hq/47AnJ5tdWVlc+dknlI+K4sN+F+P5T00o23bQtsP29Tu5ufn/YVomL81/nMTk+JNyfuLkkrZ86hRmO+m8P9Bpt6PipoCRBDiAecgsZUdr/kndQ+WYWK754lPmb9vKi9170SK5fJHMRttvB+rIGAb3X/QEM6fN5ZrHL2PgHb0lq/EsJe351HN2dUGFXoIKuwrt5KCMkEPW8fU7Dpn5eXgtFz+uXcNdP35Hh0qVeb57rwO21Y7G7/Oz4JcljO0znrIpSbw0fzxujyQmnI3OtXZXeL4VHn8Yw3vogRInN5cNd405Z/5ditNxpYRkZ2dz0003kZiYSFhYGDExMUUeQhxK4UWsMqIh6ilwNUCnDkLvbAX+ZYdchccyDJILpnx+vmoFbSpUoH+tOhhKFVmxY/9O9e+fFpNQLo4uV5yP3+eXJWOFKGaBtH8/Kuw6VOS9kPMpekd9dMbThy18ahkGcSGh/LJ+HQD/17pdMPi0/5iIaRqgFCvmriFzXxY9ru1IeFQovvzDLxkvhDg2wal27kaoyEdAhaF3dULvvgCc3Yfsmw2lqBwTS2Z+Pr9tWM/FtesGg0/7982mZQazkP/+aTFVG1aiec9G2H4b2y99sxDFTWsHFTEaFXYVTvpj6J0NcLKnHTLgaxkGEW4PXsvimzWrKBMRye0tWgMcsGqtMhSGabDwt2UYpkGfm7qDDgSlhBDiSI5ribBRo0bxyy+/8PLLL3P55Zfz4osvsmXLFl599VUee+yx4j5GcZYyQrqhnWzwr0LFfghWRbC3gVX2oNsXLun+8PmdaVehIr9tWM+UpYu4pmFjmpYtVyTl3/bb3PT8UCJiwzEtk4njPqZ132ZUrJMs03eEKEZKWWhXLZSycPL/gNCrMCLvQNtbwIgnkD1h/eczCkMpBtetT4tyyVSNjeOWb74kKTyCu1u3LbKaluUyaX9xS7xhHlpf2IwvX/0egAuu73LyTlKIc4aJ8rZD5y8EpVCxk0G5AkEoI+GgN6+mYRDl9fJ0l+70rVGLt/6ezx9bNjG6dTuSIyOxjH/7XMd2uHfqSGq1qM7WtTuYOO5jLriuM1GJUcFp9EKIE6eUgfa0DTzJnx0ILIf0Rvs3glm2YJuibc4sCBzf3LQF4W43uX4/134xjVbJ5bmywXn/+QIYOKoPTbo1oGazanwy4SvKVStD6wubnozTE0KcwY4rAPXFF1/w3nvv0b59e6666iratGlD1apVqVChAhMnTmTw4MHFfZzibKVCUNFvgFUNvacX2Lsh5nVw1T3kXPWOlSpjGgYPTv8ZNGg0jtYorYPT8UzLpGKdZCyXxeju45j33QIWT1/Okz/ff5JPUIizX2C5Zz8q4jYw4tBZ76MzHoLQa1ARdxz0M4U3rQ2SSvPm3/P5avVKrm/UlGxfPl7LKnLTapgGLXo3Yfbn85hww+uEhHtJOa8yKedVxjCltpsQxaWw3pNy14eopwGF3tUZjBhU7Jtoo/RBa0IB9Klek2xfPg/P+JW6iaXw2TZaF50ab5gGDTvVxTRN7u31KLu3pJKdls0Nz1x1ks5QiHOHUmagb458FOWuhZN2L+R8DJEPYoT2P+hnLMOgamwclmFw23dfM3PTBlqXr0Ce349pGMGptaZpEhYZQu2W1Zn6xOe8PWYysUnR1G1Tg6h4mY4khDi047pyT01NpXLlykCg3lNqaioArVu3Zvr06cV3dOKsp5QC93mADfZuVNzkQCaUbzFQdDpOocJMp17VavDBRQOoFB3LB4sXsic7u0jKv+UKxFfLVk2i65XtGf/D2OB7J1j6TAjxH0pZYCSilAftXwNhN2BE3hmYWuvsQ+sDU/Mtw0ApRZsKFRnRvBV3tGzNd/+sYdamjUW2MwwDw1CUqpRAYvl4Xv5rPNWbVMUwDZlaK0RJcTUAnQpGBCpuKuAC/+pDbq6UItTl5qIatfjgwgH4HYfJSxaR6/dj7z8dzwwEl8tUSeKaxy8LBp+kXxai+Cllgata4Il/DSrqSVRIX3T+QrTOPWTfbDsOXSpXZXynrlxcuw7/W7aE5bt3FW3LVmFbLkXKeZV5Y+kzweCTTK0VQhzKcQWgKleuzLp1gdodNWrUYOrUqUAgMyo6OrrYDk6cGwKjqSYq9gOUVRm9pz963zB0/t+H/IzWmrtataVidAzDvvqMcTN+5aNlSw5Yzl1rzfAJV3Pb68P4/r3f6B15ORNufF2KngpRAgKZUDYq4nZU+I3orLfRey5CZ77GobobyzCoHhfPsEZN+HjZUkb98C1PzPqdPdnZ/9m3omLtZN5c9izhUWEMrTWCIVVvYt/OfXLjKkQJUEqhrKqo6JcBP3p3N3TabWj/xkPWhLIdhye7dCfE5WLQx1N4fOZ0flm/tsgUeQjcnD72/RguHtWH1+58n96RlzPthW/QjrRlIYpbMEs56klUSA90+hh06qXonM8PmCJfyDQMulZNoWdKdZ6c9Ttjf/2J5+bMQlO0jVoui/YXt+KpXx9g54bdDCx9Lbe2ugfbf/C/EUIIcVwBqKuuuoqFCxcCcPfdd/Piiy/i9Xq57bbbGDVqVLEeoDg3KGWAVSlwUatzAnUnrAqQPxOt7QMudvcPIMWEhPBU5+5c37gpm9PTcLQOFkxUSqEMhWma/DL5d7SGynXL4/f5cRzpHIUobkqZoMIAF9reiQq/OZAJlf8n2t5xyNFWgJgQLy3KJfPxwEsByMjLKzLaahgGbq+LxTOWs3HFFqo2rIRSSkZahShJVmXQOWAkoGKnAgb45h9008JAk6EU8SGhTLpoIJ0qV2FrRnrR7SwTlzuwYtaP708nNDKU5GplsG1bAspClAClLDBLBZ7Yu1DRTwcyofJmoJ2Mg/bNhlJoAtfZg+vW5/VeF7I7O5s8v7/IjAMAl8di9hfz2LtjHzWbV8Of78e2pW8WQhxI6WLo6Tds2MD8+fOpWrUq9erVK47jOuOca0tUlhStbbC3oaxyOLs6g85GRT8HroYHrTthOw624+C2LO784Vs+Wr6Uy+vV54H2nYpu57dZMXcNSikq1SvPb1NnUb99bRKT46Uo+RlOlno+PQWCxj5AQ/ZkdMajEHo1KuKOQ464QiDotGrPbi79ZCoRbg/fXXYFcaFhRbbx5fn47MVv6T+yF3/9uIjcrDxa9mlSsickSpy05dOX1hrsTWBEoHd1ALMMKvpFMJMPuuKl33HI8/sJc7vp8+EHLN65g4fO78ildeoXGUByHIdfp8yidqvquNwWc776i9YXNSM0IkT65jOctOfTk9Z+cDJQZgxO2t2Q80VgFduQgYes7waQb9tMW7GMu3/6nlrxCUy7eDCW+W8btW2b9N0Z/PntArpc0Z7fps4irmwstVtWl1kHZ7hzrd0Vnm+Fxx/G8HoPuZ2Tm8uGu8acM/8uxemYi5D7fD66devGK6+8QkpKCgAVKlSgQoUKxX5w4tyjlIk2Sxc8c1CxE0GFQ96vaE8bAitq/dtBmoYRHHFdvnsXfarXYEyb84GihU9Ny6RG06qYlsn4K1/gh/d+I7l6Gd5aPuFknp4Q5wylDLR2Aw7oTAgbjhFxKzrvd7RZHsyyB71x9VoWa/amEuX18n7f/sHgk99x/i1+apn0u+0CVv65hru6PIRSivE/jqVum5py0ypECVBKoc1y4KSCkRRYudbZC/mzwNPmgO0tw8Byu3G0ZtWePYxo1pLBdRsAgYGjYKaUYdB+YEsM0+DGxnex+q+1/PXjIu6ZfNvJPD0hzhlKWWgjKvDEyURFPwmejoHrbHcDUJEHHSRyGQYrdu+iZnwCb/fpFww+OQULAJmmSWRcBB0uac03b/7E09e+gsfr5u1Vz5FQLu4knqEQ4nR3zAEol8vFokWLSuJYhAD2W7UjdjLKTMTZ1RV0OirqWXAfPMvB7zhM6NaT5Mgovly1ghfnzeXyeg0YUq9BkSAUgCfUQ/32tXng0ztP1ikJcU5SSqG1AWE3oHQ+OutddMY4CB2CirgTODBY5DJN+tWsTf1SScSFhjLwfx8S6nbxco/ewQBU4cp3bq+LkDAvD0y7kwbn1wEC2Y4ShBKi+ClloI1YVOxbgEbv6QNGEsS8AGbFgwaUtdZM7X8xdUsl8cwfM/l69SrGtGlP6/IV/g1CFbbnEDddrzqf2169HghkRxnGcVWKEEIcRmCAyEZFPYYywnHS7oGcaRBxJyr08oN+xtGa25q3IsuXz67sLK747GPqJpbisY5dgtuYlok/348nxEN82Vge/2FsMPjk2I6sWiuEAI6zBtRll13Gm2++WdzHIkRQYEWt+MATrQKZUK4UyPsZrfMDU/X2YxkG5aOicJkmb/w9H79jUzexFLbWReapO47DTc9dzbgvR7Pm73VcV/923r538sk8NSHOKUqpQHtWbtB5EHY9RuQYyJ+L9q8/oC0DmEpROSaWH9b+w1/bt9KkTFk04PtPPYmKtcvz7prnqd2qOmP7Ps7IdmNJ35Mh9d2EKCFKGWCUApxATai4DwE35P9+0O1Nw6BmQiIAL/05h2ivl4rRMWgo0jfbfptHv76Hka8N4/t3f+XauiP58f3p0paFKCH/1msEdF4gGBV6KeT9grZ3H1ATyjQMQl0uEsPCmbp0CRvT9tGsbDl8jlOkb7bcFh0ubc3L88cTFhnCiDb38kC/J7BtactCiIBjzoAC8Pv9vPXWW/z44480atSIsLCi9TmefvrpYjk4cW4LjND4UXETUWYczu5eYO9ART8F7tYHbG8ZJo7WXNOwMU3KlsXRmqdm/84F1WpQPS4eyzACo6lGYJTm0+e+Zv2STdRvV7vIdD0hRPFTykKHXYPS2ejsSej0+8E7EBU1lv9mQimlsAyDLpWrYjsOl9atz9sL5uMyTIbUb/jvdoYiplQ0f/+0mNmfzyPlvMpkpGYGl4EWQhQ/pQw0kajYDwALvacvGDEQnQRWygF1ZAozF+9o2ZrBdRuwas9upixdzJD6DYgPDcMyDEzLJCQi8Hfgw8emsWdrKrlZeZIBJUQJCmQp26ioh1AqBCf9Acj+EMJHoMKuO2B70zDw2zYDa9ehbYUKNCubzMvz5lAtNp5uVVOKXEeHRYfx2YvfsnTmCpr2OI+sfVlEJ0adzNMTQpymjisAtWTJEs477zwAVq1aVeQ9uYkXxSkwVz0m8EQ7qNj3wCwdGKHxtAKsImn/hlL0qVETQyku/WQqc7dsxmNa1C4YgS1k+20uuL4zLXo3pvOQdiyevoyKdcoTGhWKJdN3hCgRgRtXD+h8CB2CETkGnTcHbSaBWe6Athzl9TKoTj2+WbOKcTN+o16pJDpWrkKZ8IgifU2tltW54Pou3PDMFezespd/Fq4n5bzKp+IUhTgnBKbjxYPOBiMWFTclkOGYPxPtbn3Qa8HrGzUF4NovppFn+6kWF0ffGrWKbKO15qIRPalSvyIpjSrz989LqNWiGpbLlKm1QpSAQNmLgkLLOg8V+SCEXAj509FWHTCiitSEskyTanHxVIuL5/m5s3l+7h90rFSZ9hUrEeJyBbczTYN2/Zuzd/tern38ctYsWEdWejalK5eSwLIQ57jjCkD98ssvxX0cQhxSMBMq9oPAqh27+4G9FhX1BMrb6YDtjYIL35TYOPrVrE3f6jVZunMHVWPjMA0jONrasGNdDNPgnXs/ZNIjn5BYPoH3175wsk9PiHOKUi506BCUzkRnf4xOHw2eC1BRj8J/ashYhoGjNZWiY2hRLpm3+/RjV1YW2zIzSAqPCLZ1y2Vy68vXsmPDLq6pcxu+PB8PfzGaRl3qYbmOq5sTQhxBIKAcUrBYSCh6V3dQHlT0i2hXnUMOSFaPi2dUq9bUiEtg6c4dwSl6hlIopeh9Y1eUUozt8zizv5hH0+4NGffV/53MUxPinBLIhHJQkfehlAcn/VHIfgfChqHCRxywvWUY+B2bqjFxXFy7Lo927MKa1D3EhoQS6fEEZhyYBrFJMVw17lL+/PZv/q/HI1guizeXPUuZKqVO+jkKIU4fJxSCXrNmDd999x05OTlAwTK9QpSAQE2owtTdfFTM2+Bugc6bfdCaUFpr7mvXgX41a3Pfrz/R68MPGPHt18GpABCYhqeUIj01k3LVyvD492MwDAPtyP/HQpQkpQxQXtC5ENIfI+ZpsFeh/ZsPaMuGUtSIT+DN3hexOnUPHd57k64fvMPGtH3BPqcwMyI3KxfbZ3PT80Np1vM8LJeF7T+wxpQQongoZRbUa9SgQlFxUwNZyr55B93e7zi817cfDZPKMGTaR/T68AOenzM7GEwO7DPwe3pqJvXb1+bu928BAsu8CyFKhlIGSnkCT3QOKmI0KvxWyP8T7ew9oCaUZZj0ql6D+9p14LMVy+nywTv0nfIBef5/tzNdJmhNRmoW3jAv938yKhh8kvpuQpy7jmtoeM+ePQwcOJBffvkFpRSrV6+mcuXKDB06lJiYGJ566qniPk4h/s2EinkXZcbipF4G+Qsg8hGM0N7/2VZReDm7NSOD7lWr8UzXHsH3C2s+ObbDsKeuIDsjh+y0bMb2fZwG59fholt7nrwTE+IcpJQbHXopSqehc75Bp90K7nao6AmgQotsayiF2zDYkZlBmNvNxAsHUDE6MDXX7zjBwHKFWsn8P3v3HSVF0TVw+FfdE3d2ZjYH4u6Sl5xzzjkKKEGSiIAIqAgKGFAJiphATCgGJJgVBQFJAoqSk4CSc9jE5pnp+v6YZZRXfT/lBXaFes7huNNd29PFseju27duvbrjWYqVK8Jr497lwomL3Dt7CA5XkFp9R1GuE/+12eIvSK6FIc83BemB0DlgrnZFJtTvXwKdvnSJ4TVqc1+desBvy7kDeD0+Hv3wfoKcdvb9cJAlM7+g3V3NqduhhhrLinId+TOhHgHMyPQXIWNO3sq1f56FqAvBqfQ0SoWF806XHjgsFgB8huGfdWD2FyUvVT2eyCLhPDNwNtYgCyNeGPQ/pkEoivJvdVVDf8yYMZjNZo4dO0ZQ0G8PCr169WLZsmXX7OQU5T/5M6FC/B+MdEToXIS9NTJ3F1J6/5A94TUMZrRsw6zW7Vhx6BfqzXuV6RvWBW6INV3DYjMTGuVmwdMfs+nzn/hp+XY8uV4URbm+hBD+YJNMAWtrtLDXwTiL9J3/YyaUptEsvgSLe/Qm1umi2+IFdPzgXVKys6/Ivi1WrjC/bDvEkmc/Z+favRzZfRyV06go15c/EyoS8Gc1iPCFYCoF3n1/2t5rGLzfrScP1GvAS5s3UW/eq3y4dzdG3lg2mXXcES6sQVZee/Bdfvx6GztW71HBJ0W5zvyLCFj8/5Vp4BjpX7nWux9pXPqTTCiNIVVr8FbnblzKzaH5O/MY+NlHgbF8WUx8FKsXbeSb+WvYtW4fZ46cVzNnFOUWdVVX8m+++Ybp06dTpEiRK7aXKlWKo0ePXpMTU5S/8lsm1BsIawNkyihkUk9k5odXFDEG/4Ux1GbDouss3L0TDUHTuAR8v1s2VgiBz+ujbscadL2vPU9/9Qgp51LJzc7F61Ep/4pyPQlhAXtvhOtRZM465IU2yJTR/ul5fyI+JJQfThxn+5nTNI8vgcNsxidl4EZW0zSKlS1M1eYVmbNlBiWrxpF6LlVNrVWU68z/4GpChC0GvTjyYldkUh9kzoY/PGiaNI0iLv9qle/u2E5UkIOahfz3lN68a/PlYFODbrUZNecuhj8/kDNHzuHz+tSS7opyHQVqQjnHIYLvQaa/jrzYGZk2hf98dLy8am1kkIOvDh7g1KVLtCtZBvAHmi/TTTqVm5SnVttqzN48DWeog/SUDDW1VlFuQVc1BS8jI+OKzKfLkpKSsFqt//NJKcr/x786Xpj/g+8Mwj0TbK2R3qOgFwFEYCloXdPwGQZ3V69FbLATu9nE1O/W0jy+BLUKF0HPK0per0tN6naqwdLXV/L83a9SuFQsb+6elX+dVJRbhBACqbnAdwYsdRGhr4ORgjR8IBxXBJZ1TaNR8TieaNKcvpWqMG/bFjI8uQyvURs9L7PRbDEzY8Vk0lMyuLPUKFLPp/H4Z+Oo0aqyKkquKNeRELp/VUsMMC4hwt71Z0L5ToCp6BVtdU1DSsmD9RrQqkQpjqWm8OS61fSpWJniIaGB6Xp3PNwNgJdHvclnLy+jdvtqPPnFhBvdNUW5pfhf9vqf6aRxBoL6obkmIX2n8lanNgdWxxN5Cwj0SKxA6fBwmsYl8NLm74kJDuaOipUB/8uh6GIRTPniIY7sPs69dR5G0zVe2TKdwqVi1SrqivIvkJuby7lz5/5Qw61YsWL/6DhXlQHVsGFD3nnnncBnIQSGYTBjxgyaNm16NYdUlH8skAkV8irC3g6ZOgF5oSUyc34g+HSZrmnULVKUEmFhTFm3mre2b2Xl4V/Rf1ePQstbtePwrqO4wp2MeGEgmq6pIsaKcgP4M6F6INzTwLMDeb4xMqmff5n3/2DRdfpUrMzG48d4cv0alv1ykKOpKYELom72B6xSzqeRfDaFTiNaU6VpBTRdw1CZE4pyXfmvvwIRvgRhroC82NOf2Zj97R8yoYQQdE+sgNtm475lS/lg9y5+OHniilpRlx3edYyiZQox6Kk7kFKqDGVFuc78QSGJCH4A4XwAmbkYeb4JMuUB4MqAkUnTiHI4aBZfgvd37eDlH79n+a8HScn+LZtZN+lIQ3L855N4c70MfLI3MfFRSEOq6XiKUoAdPHiQhg0bYrfbKV68OPHx8cTHxxMXF0d8fPw/Pt5VBaBmzJjBa6+9Rtu2bcnNzWXcuHFUqFCBdevWMX369Ks55F86efIkffv2JTw8HLvdTsWKFfnpp99WV5FSMnnyZGJjY7Hb7bRo0YKDBw9ecYykpCT69OmDy+UiJCSEwYMHk56efkWbnTt30rBhQ2w2G0WLFmXGjBnXtB/K9SGECfQI/wfvQYRzIppjENJIAfzFFC+7/LY1MTKKSY2aMqlRU3acOU16bi5ew38jaxgGA6b0Zta6JyhTsyRzxrzFtx98d6O7pSi3JCE00MLAexhM5RBhCwAdKXOuqDuhaxpCCIqHhFCzUGE+6nkHVt3E4ZSUK45XpFQsM1ZOZsQLg1j53jpefeAdsjNzVBBKUa4zIXTQi/ivwd5jiNDXwNrYX1PmP1wuPF4+Koo3Onahe7nybD19Co/Phy8vqOz1+HjgzeE8t+4JzFYTLw5/nd3r96mpeIpynflXrbUCVqT3INjaI0JeBJmZV3v1t2uzSdMCK9d2LF2W+V16cCEzg9PplwJjWTfpNOxRh2e+fZQuI9uycNqnvP/URyoApSgF2IABA9A0jS+//JItW7awdetWtm7dyrZt29i6des/Pt5VzUWoUKECBw4c4OWXX8bpdJKenk63bt0YMWIEsbGxV3PIP5WcnEz9+vVp2rQpX3/9NZGRkRw8eJDQ0NBAmxkzZvDiiy8yf/584uPjmTRpEq1bt2bv3r3YbDYA+vTpw+nTp1mxYgUej4eBAwcydOhQFixYAEBaWhqtWrWiRYsWzJ07l127djFo0CBCQkIYOnToNeuPcn0IYcrLhHoBYSqGkfY0ZL6NdNyH5hzxH20F99aqi5SSZzau55WfNlOzUGEW9egNgK7rBAXbCSpj59UH3uHTl74moVJxGnStjT3Ylh/dU5RbihAWpL0bwlILfMeQSbeDFusvaizcV7SNcQTzXtfbOJ1+iVbvvQ1SsuS2O0iMjEDX/FlQlRuX58zhs7ww7DVsQVYqNU6kTofq+dAzRbm1CKEjpQ8RvghhLo2RNAByN0LIS2BtdcWUG59h8EKbDmhCMOTzT/j2yCH6VazC402bA/6i5JFFIzCZdZ6+4wW2rdpF0ulkqjSrkE+9U5Rbh3/GgQ8RfB9gQM4Kf61GS31/cPl3TJpGnSJFqR5biDVHDjHo808ItwexrM+dhOeVb9E0jfL1yrDxsx+Z/+giQqNDqNOhBiWqFEf7k+xHRVHy1/bt29myZQtly5a9Jse76mIYbrebRx555JqcxF+ZPn06RYsW5a233gps+32al5SS559/nokTJ9K5c2cA3nnnHaKjo/n000/p3bs3+/btY9myZfz444/UqFEDgJdeeol27drx7LPPUqhQId5//31yc3OZN28eFouF8uXLs337dp577jkVgPqXEMKE1Av5P+RuAcfdaM4R/gum0P3FFH83LU8IwbmMDBoXj2N2u06B7YaU/ml3Hh9la5WibscaTF5yP1JKpCExDAPdpP/n1yuKck1poBeCrM9Bi/bXkRFOAH+wOa/uhK5p6EBKdjZmTeOdrj2oGB0N+IufmvKm1YZEhRBXvijj3xtFfMXi+DxehBDqRldRrjMhdKQpwf8hdyvC/QzC1jpvlcsra7tddi4jnf6VqjK58ZUlHUx5U2vL1SlFyarxDJ3Rj9ysXCx2C4bPUCvkKcp1JISOxA4IZO62vHqNs7k8Fe/312ZNCLS8++wiLhcLuvUMBJ9+f22Or1iM+IrFmf7NRFzhTgyfRBo+dZ+tKNfI6dOnuf/++/npp5/45ZdfGDVqFM8///w/Pk5iYiIXLly4Zud11Vfr5ORknn32WQYPHszgwYOZOXMmSUlJ1+zEAD7//HNq1KjBbbfdRlRUFFWrVuX1118P7D98+DBnzpyhRYsWgW1ut5vatWuzadMmADZt2kRISEgg+ATQokULNE3jhx9+CLRp1KgRFosl0KZ169bs37+f5OTka9on5foJZEK5pyGCxyDTX0WeTcS49MIfakL5DINHGzdjdruObD55nLpvvsr4lcsDUwF0s06TXvWYtHgsW1bupJOrP3dXfQBDraSlKNedv6CpGeydECEv+VP9z9fDON8KjPQ/tK8UHcMnvfpQNjyS3h8tosW7b3HqUlog5d9sMTF32zMUK1uYu6s8QCdXf7Z8swOvx/uHYymKcm35r80GIuwdhL0zRsr9yLOJyKwvr5gmD/6H09c6dGFy46bM37GNWm+8wqtbfrxies7AKbczZFpfPnzuC9o7+vB492dU8ElRbgD/giASETwc4Z4BuduQZytjXBzwh7ZmXadHYgXe79oTgNbvvc1tSz4g1+fNO5YgJj6KV36ajs/ro3eRu+kZM4TTh86pVWuVW0Jubu51/46cnBwiIyOZOHEilStXvurjTJ8+nXHjxrFmzRouXrxIWlraFX/+qau6Yq9bt464uDhefPFFkpOTSU5O5sUXXyQ+Pp5169ZdzSH/1KFDh3jllVcoVaoUy5cv55577mHUqFHMnz8fgDNnzgAQnffG+7Lo6OjAvjNnzhAVFXXFfpPJRFhY2BVt/uwYv/+O/5STk/M//+Ur154QJjDF+9OFc1aBvSsi+LdpeJdvYnVNI8hsJshs4aN9e/FJg/aly2BIGVg2VgiBZtLZvno3mq7RaXhrpCHVQ+tNSI3ngso/nvFsA3RE6KsIPQTgiroTAAkhoew5f47NJ0/QLC6ByCAH4M9q1M06ukkn5VwqR3Yfo2bbKiRUikNK/rCSh/LvpsZywSSEBuaK/g85q/xFje0d8qb2/DYGTZpGpMOBJgQLd+8kzGanaZw/8/1yrUYATRNsWbGTkCg3rQc2xevxqmvzTUiN54JHCB1EMGhhyNz1YCqFCJ0VyH76/bVZE4Lo4GC+PXyIwynJdCpTDrOmX1EPSuiCA1sOkXIulRb9GxES5cKrFv9RbkJNmjRh5MiRjB49moiICFq3bo0Qgu3btwfapKSkIIRgzZo1AKxZswYhBKtWraJGjRoEBQVRr1499u/f/7e+My4ujhdeeIH+/fvjdrv//1/4Cy1atOD777+nefPmREVFERoaSmhoKCEhIVeURvq7rmoK3ogRI+jVqxevvPIKuu5Pk/T5fAwfPpwRI0awa9euqznsHxiGQY0aNXj66acBqFq1Krt372bu3Lnceeed1+Q7rtbUqVN5/PHH8/UclD8XyIRyTgRzOcj6BOPSsxDUB805KtBOEwKvYXBXtRrcXb0mMcFOnlq/htqFi9AioaQ/G0pKej/Uhboda1CmZkk+fmEpxcoWpm6nGmrJ2JuIGs8Fk3+MmZG2Ngi9KAgnxoUOgIYIfRf03y6mmqZRJSaWRxs35c7K1Xhv53bOpF/i3lp1Mes6mhBEFo3gkQ9G07BHXbau2MHBrYfpNro9FptZTce7SaixXHAFpsO7X0bYGmCkTYesjxGuyUhb20Cmsq5p+AyD0XXqUSO2MMnZWTy29lu6lU2kfFQ0Jk3D6/ExbGZ/dJNOcIiDBU9/TK02VSlVPUFN37mJqPFcMPnHshcRNAjsvcB3CuNCZzCVRYTOuaKtSdPoVKYsITYb7UqVYc6PP2AzmRhavSbgv3bXaV+diQvH0LhnPZa99S1Z6dl0GdEWoan7bKXg+8/AuNVqxWq1/mnb+fPnc88997BhwwaAv11T6ZFHHmHmzJlERkYybNgwBg0aFDjGjbB69epreryrCkD98ssvfPjhh4HgE/iLN48dO5Z33nnnmp1cbGwsiYmJV2wrV64cH330EQAxMTEAnD179ori52fPnqVKlSqBNufOnbviGF6vl6SkpMDvx8TEcPbs2SvaXP58uc1/mjBhAmPHjg18TktLo2jRov+0i8p1IoQJaU5ECBNG1idgroRwDPlDO5OmkRgZhUnTmLDqGxbt2UWmx0Oz+BJoQgRubhPrlmHh9E+YP3kRkUXCqdiwLM4wZz70TLke1Hgu6MxgrgzZX4PvFCL0DURe8Ok/607cWbkaP184z+Q1qygZFkb7UmUoEx4BeQHjxrfV41JyOhM7TgMgvFAoLfs3zp9uKdecGssFmxAa0lrP/yFrCdg7g61NIBPq90GoVgkl0TWNu5d+xp5zZynsdFI5xn+vZzLrFC4Vi8lsYkqv51i3ZBM/LN3K7M3T8qtrynWgxnPBJYQJqYUAIcj0F0GYEa5Jv8uE8o9nTQiCLVbalizN5/v38fwPG6lduAidy5QjyuHwT7nXBI1uq8vOdXuZOfgVbA4bJSvHk1ivtAooKwXef/6b9Oijj/LYY4/9adtSpUoxY8YMAI4cOfK3v+Opp56icWP/ver48eNp37492dnZgQXXrrfL332tXFUAqlq1auzbt48yZcpcsX3fvn3/0/zC/1S/fv0/pJgdOHCA4sWLA/6C5DExMaxatSoQcEpLS+OHH37gnnvuAaBu3bqkpKSwZcsWqlf3r3z07bffYhgGtWvXDrR55JFH8Hg8mM1mAFasWEGZMmX+Mq3sv0U3lYLBnwnlQwTfC+ZKkPsDRvozCFtnRPDdgXamvLetFaOiiQ12Mqp2XbaePkVcSCguqxWTScfr8VK4ZCzlapdi6rKJONz+Yoo+ryqWeDNQ47lgu/xQKm3NEcIBptIYSYMADyJkNhKnf8psXpApJthJ9dhCvNW5G5dyc9l74TwVovzTqoUmsDmsRBYJY/Tcu6nRugqAKmJ8k1BjueDzB5skwvUY2NpB5jsYWYsRjvuQthZ5dWZ+K0xeMSqau6vXpFlcAptPnqBiVDRmXcdkNiGlpHDJGJre3oBxb48MfIcazzcHNZ4LtsCMg6DbwdoKkBgXe4BeDOF+JtDu8n122YhIWsSX4JX2nTickkym10Nxd0jg2h1ROJyoouFMXTaJYuUKA+o+Wyn4jh8/jsvlCnz+b/9mXY5F/FOVKlUK/Hw56ebcuXMUK1bsqo73T/1/JZYaNWr0j453VQGoUaNGcd999/HLL79Qp04dAL7//ntmz57NtGnT2LlzZ6Dt7//C/qkxY8ZQr149nn76aXr27MnmzZt57bXXeO01/5KfQghGjx7Nk08+SalSpYiPj2fSpEkUKlSILl26AP6MqTZt2nDXXXcxd+5cPB4PI0eOpHfv3hQq5F817Y477uDxxx9n8ODBPPTQQ+zevZsXXniBWbNmXfW5KwWDEDrSUgshdIzM+SCCwN4N4A9vW++oWBmfYfDqlh+ZvmEd5SIi+bRXHwBMZhNNe9enTsfqHNt7ggltn6JQiRieW/uEujAqyg1jAWtjyFkJuT8gQmYiNP9F//KKlwDBFgsfdO9FanY2rd59i2yvl3e69KBmocKYdB1N13lz7wuYrSYmtHmSPRv3M3nJ/VRpVjGw0paiKNePEAJpa4cQGkbGq2CuAbbGeVN7fhvLUkoeb9IcgLHffMWnP++jY6myvNC2feA4g566A6/Hx/oPN/Hs4Feo26kGExeOybe+KcqtxJ8JFQlaBGS8Cr4TCOfkK8awEAJd0ygTHsHLbTuw/cxpen20CIfZzJe396OIy+0vSh4XyZv7XsCb62Vw+TGkJ6czc83jxJaIQVcBZaWAcrlcVwSg/huHwxH4+XLph98vsuHxeP709y4nyMDl8hQ3toZpkyZN/rDt96VofL5/VrftqgJQt99+OwDjxo37031CiMA/OP/0hH6vZs2afPLJJ0yYMIEnnniC+Ph4nn/+efr06RNoM27cODIyMhg6dCgpKSk0aNCAZcuWXZGS9v777zNy5EiaN2+Opml0796dF198MbDf7XbzzTffMGLECKpXr05ERASTJ09m6NChV33uSsERuKEN6uvPhPKdwkh9EGFrhbTffsUAEkKQlJVJrcJFeKNjF8yXa5wZBrqmYbaY+H7pFjJSMqndvho+rw+vR2AyX9VQUhTlHwjc0FrqgetxsDbDSH0YZCbC9TQSO0IITHkX9SyvB5+UvNO1B3WL+N8SeQ0Dk1nHZNZJu3iJn77ZQfl6ZYiJj0JKAyk1Vd9NUW6Ayy+AhONeCOoB2SsxshYhHEOQlnoIoV8xFpOysrgtsQJPNWsZ2Hb5XtNk1ln30ffoJo1qLSriyfGg6Zp6QaQoN8DlTChsHRHmKqAXxkgeAXoMwvkIkLfCdN61OTk7m4igID7o1pOi7hDAv8iASdexBVnZ9v1Bju07QZNe9Qhy2jG8PhWAUm46kZGRAJw+fZqqVasCXFGQvCBJTk6+4rPH42Hbtm1MmjSJp5566h8f76qemg8fPnw1v3ZVOnToQIcOHf5yvxCCJ554gieeeOIv24SFhbFgwYL/+j2VKlVi/fr1V32eSsEmhI60NvVnQqVNBN9JMFfNC5b+9rYVYGyd+mR5vew9f56RX39BpegYXuvQJe84gs7D25BQsTj1Otdk+duriSwSQY3WldVDq6LcKMKGsHeHnLWQ9RHCOR6E9Q/jubDTxdK8t6t9P17Cr8lJvN6xC2XCIzDrOq5wJ/e9MpSW/RtzePcxfnx1Be2GtMBsManpO4pyowT5XwQZl6aDXhhM5X4rcpxXT8ZrGMxq1Q6n1cpH+/Yw7bt19EgszyMNm/j3e3z0m3wbt93fkfiKxfjy1RVUaFCWhMpx6sFVUW4AIUxIvTDohSDjLcjdgHDP+NP6bi0SSlA6PJwgs5nW772NRLKgWy8igvzlLSo3TuTelwfTaXgbfli6haSzqbQZ0FQVJVduKna7nTp16jBt2jTi4+M5d+4cEydOvObfczmolZ6ezvnz59m+fTsWi+UPdbb/mz9bQa9ly5ZYLBbGjh3Lli1b/tE5XVUA6nINJkX5NwmswGNrB6aKIHSMlHEIa+PACjyaEFh0HbOus/TgfnyGpF+lKgjysqBMOs6wYOp2rMHS11bw0sg3cYU7eW3nTMJj//kylIqi/HOBIqeWqhB8HwTdiUx/CSnTEM5xgSwmIQTFQ0I5mpLCxhPH6F+pKiXDwgP1KHRNo/3QFniyPTzQ5FFysnJBQpd72+ZzDxXl1hF4eWPvhXD0Be/PGJemIoL6IM2VEMKESdNwWa3omsYnP+8lzG6nW9nywG9ZjcXKFcFk1nnhntf48tUVFC1bmNd3zszHninKrSWQCWVtgtCiwFIfI+0JhBYGwSOvaFvI6WLZLwf5NTmJRxo2IcRmw5DSnysloNPwNhzZc5yJHadhMpuIKBRK1eaV1DR55aYyb948Bg8eTPXq1SlTpgwzZsygVatW1/Q7LmdXAWzZsoUFCxZQvHjxf1QE/a9ER0f/oV7333HV84ZOnTrFd999x7lz5/4wB3HUqFF/8VuKkr+E0JC2Tv66E8mjwPOjvwgqMvC2VQiBz/AxsEo1OpUuS0JoGI+uWUXZiEjuqFgZPa8oeUiUm2JlC/PMt48SFuMPPqliiYpyAwkHWvBwZM4PkDEbgu4E6QGhI6UeKEweHxrKlCbN6VOpCgt27eDnC+d5oF4DHGYLuqahmTScYU7GTOtD8z4NAVXEWFFuNM05HAAjdTIg/DUbEYFrs54XOB5Vqy5xISFke72MX7mcNiVL0bBYHCazjjQkIVFuarSuwmMfPRC4HqvxrCg3hhAmpCkBTPGQ+QFkLgTnQ0iZA+iBF0gmTaNFQgLPtmxDx9JleWnz93gMH2Pq1A9Mo3e47LgjnEz5fDzl6pQG1H228u+1Zs2aP2wrV64cGzduvGLb72tCNWnS5IrPAFWqVPnDtv/mn7T9K7+v7335mKdPn2batGmBheD+iasKQL399tvcfffdWCwWwsPD/1BDRwWglIIskA5srQuOfqDHI9OfQ1jq5tWd0DBpOkVcboq63Dyz8Tve27WDXuUrku3xYDObMZlNNOpRl2otKpF8NpX76k0kNCaEGSsnqwujotwgl29kMZcC+x1orkeQmYvBuACOoYEglJSSPpWqcCb9EhNXr6REaBjHUlNJjIi8fCTe3DuLIKedaf1e5KflO3jwreHUaF1FjWdFudGsjRCOQWCkIy89g7B3Q5oSAkGoWoWLYNI0Bn72ERuPH6OIy03j4vGAf5XLOx/vRU5WLjvX7WVG/5eo3LSCKkquKDfQ5VWosVRDBI+FoDsgYx5oTv/PecyaTqcy5Vh95BAvbt5EnSJFOZt+iVinE01ohBcK4+0DL2G2mhnTaBLnjl3g6a8epkjpQurarCg3UJUqVQL3079Xp04d5s2b94+Pd1UBqEmTJjF58mQmTJgQqOCuKP8mQmgQ5C+mb6Q+BNnLQS8OePOm7/hT/r2GjxqFCmHSavFAvYZsOHaUIi43RVwudE3DGmRl0xc/cebIORp0q4XX48XrNWFSF0ZFuXGEC+GajPTsQaZNBGsbhJEMmhuwBF6ShNrs1C1SjDntOpKWm8N3x4/RqHhcXlFyO7lZuax6fz0lKscRUSQcachAkWNFUa4/KSWa62EAjOSu/mCytSEQH6jvZtI0pJTULFSELmUSaVeqNN8eOUSVmFjcVhsmTcNqt7D6g+/ISMuibO1S5Gbnopt09dCqKDeIEDrSVA5MpSHrU2T6TAgaBMYlfx1HYQ4UJS8bEUnz+ATmtu/M/osXOJuRQbXYQmi6RnCIgwM//cru736mVtuq2Bw2DJ+hxrKiAOXLl+fo0aN/uu/VV1+9YuG2q+XxeGjSpAlz587FarUC/hX8IiMjr1j07Z+4qgBUZmYmvXv3VsEn5V9PSgNhKgPupmBp5E8XNldFmsvn3ejqNIsvQaPi8by/czuT1qyiVFg4n/S6gyDNgqZrtB7QBGeYg7aDmvPtgu9whgVTs02V/O6aotwyAjWhtGiwtkQLfRGZvQaMs0j7bVcUP323S3eyvF46LHiXLK+H2W070iw+AV3TsNgtjHhxEC37Neb8iYt8Pe9bWvZvjMVqVtN3FOUGuCLYay6LCBroDyRnvgvWVkg9JjBVfnjN2gBMXr2S93btoElcHPM6dQfA6/Fy2wOdaNK7PlWbVmD5/DWUqVGCEpXj1FhWlBvEX3sVMJWEoIForvHIrE9A2MHWJtAu2hHM3Pad+SUpiU4L38NhNrOoR29KhYWjaxolq8UzZHofbhvbid0bfmb7t7tpeWdj9Ryq3PK++uorPB7Pn+6Ljo6+Jt9hNpvZtWsXmqZdszrgVxWAGjx4MEuWLGH8+PHX5CQUJb8IoYFjEFJK5KUnIXMBBN+LMJcLFDLWhEATkOX1UiO2MG917obNZAZACggOcdCyX2NWvreO6f1fIsgVxNxtM4iNvzYDX1GUv0kLRYQ8j/QeRqbcDebqCEs9pB4byGoEMPJSiOd36U7dIsUwpMSQEk0IOo9ogzQkYxpOIj0lg/TkdG6f0C0/e6UotxwpDYTrKX+9xqR+4NmN0CJBb/uHrMQsr5fu5cozrXmrwDgWukbRMoUpnliEeQ8vYNGMz4iJj+KN3bOw2i352DNFubUIoSPNlf331dlfI1MfAlt7sNQB4QxkNQLk+ryE2ewsvq03cSGhGFLiNQw0oNeDXTh37AIPNn8cAEdIEHU71EBXRcmVW9iNWhiub9++vPHGG0ybNu2aHO+qAlBTp06lQ4cOLFu2jIoVK2I2m6/Y/9xzz12Tk1OUG0citAhwTQR7L8j+BszlkHqxQCbUoKrV6VYukZ8vXmDApx9S1OXm4159sJlMeD0+nKEOYuKieHb1Y0QX99eW8Xp9ajqeotwgQuiAjhTBYK6GCHsbvAchZz/YWgTaBZnNLOvTnyhHML0/WsT2M6eZ274TDYrFYdI0hC5wuIMYPPUOOtztX41EFTFWlBvnctYiAFokIvRVMCVC9lKwNEBqboQw4TMMpjRtji40Pv15L+NXfUOz+ARe7dAFNP+4DQ4NpmLDckz5Ynwg+OTz+dB1dW1WlBvBX3vVDFo42DqghTyHzNkAwgyWWoF2FaNj+LR3X4LMJprMf4O0nBw+vO12irtDALDYzDjcDiYtHkvVZhUAVZRcUW4Er9fLvHnzWLlyJdWrV8fhcFyx/5/Gfq46ALV8+XLKlCkDXJkyrWplKP9GQmgQfA9S+pDpL0HGHLD3QbgmBtpoQuC0WPnu2BEsuonHmzTHZvIPId2kUbt9dcrVLU12eg4Dy95HkNPGjJWPYnIH5Ve3FOXWpIUhQt8EIwl5sSfoxfwr8ujxCKGhaxrRjmDScnPZfPIEg6tWDwSfvIYBPsmrO2bicNl54Z7XWP/RD4yaPYQG3WqrIJSi3EBSGgj3dIQwYyQPh5y14ByP5ugH+KfVakIghODbI4eICwllQoPGgD/TUdM1ej/UhU7DW/Pr9iM81XsWpWuW4LGPH8zPbinKLcefCVUT4UpE5mxAJg/0B5/cL/qzl/OeH2ODg/n+5HFOpKXxRJPmJISGAeAzDJzhTuYffBF7sJ3xradwbN9JHv9kHPGVimNSmVCKct3s3r2batWqAXDgwIEr9l1N7OeqAlAzZ85k3rx5DBgw4Gp+XVEKMAFo4BiJ5hyFzN2C1IvlXRxNaELQv1JVGhaLIz4klFFff0khp4vxDRoBEBRsZ92STZw4cIrOI9tg+Ay8Hi8m81UNNUVRroIQOoggpC8d9GKI8MUgL4FnB1iqAv4CiiE2Gy+37UC7UmWYt20L3588ziMNmlDY5cLhsgPw1RurKFqmEDEJ0fh8BghU3QlFuUH8mVCXx5uGCHkWrC2QOZvAXDGvmLEJb97y7XaTmSyvh7u++JSGxYrTv7J/vNsdNtYu3kjqhUuUr18WT7YHk8WkMicU5QYSQiCxAxpY6vlfFHkPg3ERaSqJyAsm1y5clNntOtIyoSRPrV/D+YwMpjRtgcNsxhkazIkDp9myYidVm1ckOMyBNIxA2QxFUa691atXX9PjXdVdtNVqpX79+tf0RBSlYBCI4JGI4GHIjLeQSbcj06YG9uqahtNqpWJUNAv37GTpwf0IAem5Of556iaNJr3qM2rOEEa+OJgfl23n+y+35GN/FOUWpkUgwt4HvMgL7ZEp9yI9+/zLQ+dpU7I0Gbm5PLl+DWcuXSLb6/HXhMurEzXypcE8t24KNoeVL+d+Q2ZaFj6v78+/T1GU60JKHyLkWYStLTJtEjJ5ADLjrcACBCZNJy4khMIuFy9v/p7vjh3FZxjker34DAOf4aPrqHZMXDSG7ve1Z8W7a9n3/UEMw8jnninKrUUIHWGti3DPAs8e5MUOyNT7wTgfuO4KoHWJUmw/c5o3t20hw+MhPTcXb97+IqVjGTKtD09/9TAXTyax/O3VGD7jD0vEK4pSMF1VWsZ9993HSy+9xIsvvnitz0dR8pX/7YlASh1ppIK9F5p7CtJ7FKmFg7Bh0kx4DYOGxeLw+gzurV2XT3/eS2SQg3pFi2F32mg3pAUbPt3M1L4v4HAHUbR0IYolFlFvZxTlBhJCQ2qhYJz3FzsNX+Jffcd3EkzFAP/UWrvZTNeyiTzWuBknL6WxZO9uupcrj1nX6XB3S4QQ3FVhDElnUki9eIkBj/fK554pyq3lcn03AIw0hHMiwtEP6f0V9KKAhknz14RqWaIkzRNK0DKhBB/u20PVmFhKh0cQHRdFTHwUH0z7hPmTFxFdPJLXdjxLkEtNk1eUG05zgfcSmBIR4e+Dke4PQmkRgRpwZcIj6Fq2HM+0bMsPJ46z6cQxupZNBKDXuC6kXkjjweZPYBgGQa4gmvSsh9DVfbaiFHRXFYDavHkz3377LV9++SXly5f/QxHyjz/++JqcnKLkHw0RPAJkDjLrY2TqeLA0RoTOAcCkaZSLiKRMeARL9uzmoVXLKR8ZxTtdehBqt2P4DNwRTqKKRTBzzePExEUB4PX41Dx1RbmBhBD+G9qwD0AEIy+0ApkFofPBXD6vOKpkZqu2eHw+en24EK9hEGa306Zk6cBxXBEubn+4G11GtgVAGhKhqRtdRbmRpPT5a0JpToy0aZA5L2959wmAP0u5bcnSCOCp9WuYt30rLeJLMKd9J0xmHa/HizvCRbk6pZn69SOB4JMqZKwoN5YQOljrg54AvlPIC11Ai0KEv4/UohBCw2oyMbNVO46mJNPv0w8Js9spERpGhahodCEwW8w4Qx089O4oqresBKgFBhTl3+CqpuCFhITQrVs3GjduTEREBG63+4o/ivJv589UMoGwIb1HwdoKEToXZCZS5iKlFz2vDozTaqVekWJ81PMOJJL03FwMAeXrl+XV7c9itpjoX3IkA0rfy6WkS/nbMUW5BQmhgR7rDzzJHH9NKHMZkJeQUgbGsiYEoXY7H3TvRbP4BM6k+8erz2fw0qan6TKyLS/f+yYdg/uy9PUVavqOotxg/vpueavv+I6CYxiaawLSSPIvIiK9aEIgAZfVRt+KlXmtYxcuZmaS4/WCrtFxWCumLnuEYz+fpHvkIMY0moQ01NQdRckXehT4ToMei4j4EIQr717bhynv2mw1mSnsdPF5776UDAsnOTsLKSVWh4V5P79AlWYVGN96Cl3DBrBr3T68HjVNXlEKsqvKgHrrrbeu9XkoSoEjhPAXNQy+B4xMyFmLTBkBllqI0NcBMOs6bUqWol7Rouw6e4Y7Pl5MqM3O1336E2oPwh5sY/NX2zh96Czdx3TAbDXjyfVitqii5IpyI/mn44X7M6H0YsgLncB3AhH2LtJcyb9CD/Dl7f0Itljp9MG77D5/jqnNW3FbYgVsDisAK99bR0xCNOVql8bwGkhdqretinID+bMWvQjXFNBCkemvIdOfBXtvNPcTgD+YPKp2XXJ9Xhbt2cWEVd9QKSqaj3reAYAtyMrGzzaTdSmLht3r+Ou6CdSCIYpyg/kzoRpA6FyQ2cgLrQELInwJUo9GCI3IoCC+6N0XIQTN3plHUlYmH3TvRZXoGIJDHCSdSWHLip3UaFWZQiVikFJiGIZaMERRCqirHpler5eVK1fy6quvcumS/y3xqVOnSE9Pv2Ynpyj5zT8P3QKaC+nZBZYa/kwoNKQ0kNILgN1k5kDSRcLsQbzfrSehdn9av9QEDbrWYuzrwxg2806+++QHvpm/Jt/6oyi3MiEEmBJApoPvJCJsPsJSFTCQ0sCkaQRbrPgMgwNJF3moXkN6la+IJgQ+w0AaklFzhjBzzePoZp2F0z8l5WyqKkquKDeYEKa81Wl1pGcH2HshXI8hpQcgsNCAWdPZd/48laKimde5WyDbEQFdRrZl4uKxdLynNV/M/YbNX23Lr+4oiqLH+VfEExZExEJ/ZhQGUvrQNQ2XzcbFrEySs7OY074TNQoVxqTr/inzMSHcO3sIU74Yz6lfz/Dhc1+Qm5WrspQVpYC6qlc9R48epU2bNhw7doycnBxatmyJ0+lk+vTp5OTkMHfu3Gt9noqSby7XiBGOISB7gmc3MmkwmCsgwt4G/JlQtyVWoFpsIYItFrosep9gs4XXOnbBbjXTemBTfvpmOzMHv4I7wkXpGiUoUak4mq7ezijKjeSfwhMGYe+CuSLGxdvAsw8RNh9pruJfoUfA4h69qRQdw/QN61j2y0EmN25Ko2JxNOlVH03TGFHzIc4cPocnx8PAJ2/P724pyi1HCD0vE+oR0CIg60P/Cnm27mghTwNgSMnYuvXJ9no4mZZGrw8XUTE6mmdbtiUkKoRabaryyUtf8dqD71KoRAzl65fBHeHK554pyq1HCA2s9SBkLogg5PlmID2I8A+RegxCaMSFhLKoey8qRccw4qsv+DXpIi+17Uh8aCgdh7UiKz2bCW2eAiCySDjN7miYz71SFOXPXNXT73333UeNGjVITk7GbrcHtnft2pVVq1Zds5NTlILC/9Bq99/k5v4AphKI0DkIYQHw14QSgviQUFYd/pV958/RrlRprLqOgUQIQUThcAqXjGHutmdIqFQcKaXKnFCU/GKu6M+E8uxGhLyIsFTPe6A10IRGYqR/4YDXt/5EXEgIlaJj0DWNy+9TY+KiuG/uUAY+eTueHE/+9UNRbmH+TKgohLAgc9aDtSXC/VhgvybAYTYTEeTgw317uJCZScdSZREAGghNEF08kvL1yzJ32zM43A6kIVUNGUXJL+by4DkIMgMRNg9hKhSYdgtQOSaGY6mpfP3LAWoVLkIRlwtdCAwpMVvNRBQNZ9ryibTo2wif14eh6rspSoFzVQGo9evXM3HiRCwWyxXb4+LiOHny5DU5MUUpaPzT8XQI6o8IeQ58pzDO1cG42AcwEEJg0jTalCzN1Oat6Fm+ArO+38jsH39AAsXKFWbutmfQNEGfYsPoETWY07+eVSnCipIPhNARmhsR8gbC1gwj+W6Ms1Uhd9sVxU8nNmzM3Pad2XPuLA+v+oaTaWl4fD6e/vphOgxtyfPDXqWd/Q7enrwwn3ukKLcmIUz+TCjn/Qj3dMhZjXG2CkbKIwih+QPHhsHtFSoxp11HqsYW4vG1q/lw3x50k06jHnWZ+vXDHNlzjK6hdzKgzChys3Pzu1uKcksSQoClJiJkDuhFMC50wjjXEHxnkdKHJjSKh4Qwvn4jnmjags8P/Mzja1eT4fEgdMEbu2ZSqVEiYxpNooOjD2sXb1QvexWlgLmqAJRhGPh8fxzMJ06cwOl0/s8npSgFlRCafwUevQjkrAPhQoTMDGRCCXy4rFY6lSnHlwf2M+enH9h/8QJJWZlIwBpk5eC2w1w8nUz3MR2IKh4JEqRUb2gUJV9Y6yKNdMhZjXBORFgvZ0L5r3EDqlTHajIx8usvWXP0MCcvpSLyln8G+HHZdsrULEnrAU2RUmVOKEp+EMIEehGE5kBmLwNzFYRrQmC/rglKhoVTq3ARXt2ymXd3buPgxQtkeTyBzImda/diGJI+E7tjtVvUQ6ui5Bt/EArvQfAeQYTMQpgKB6bdIiVDq9fkbHo6E1Z9w0+nT3I6rx6x1W4lOzOHPRv2U69zTaq3rISmaWo8K0oBclUBqFatWvH8888HPgshSE9P59FHH6Vdu3bX6twUpUASQsefCdULETILZDbG+dYYFwcA/swJTQjKR0XTpUw5ZrfryMGLF/np9EmEENRsXYXJS+6n76QefPry18x/bBE+r08FoRQlHwihIbRghPslRFB3jNTx/retnm2BIBRA/aLF+KB7L0qEhvPVwf1kez14DYMH5g1n+jeTSL14iRdHvMHRPcdVEEpR8kEgE8ox3H9t9uzEONcQI3UyQmiYNA2JpFpMIe6rXY+JjZqy7tgRDly8gNA1Og1vw5NfPESTXvV4a9JCPpu9LL+7pCi3JCGEPxPKXBlCXgBzBYyk/hjnW4HvDEL4Zw6E2GzUL1qMhd17oWuCFYd/xZASe7CNiYvHMnHhGHZ9t4/Z980j9cIlFYRSlALiqoqQz5w5k9atW5OYmEh2djZ33HEHBw8eJCIigg8++OBan6OiFDhCaEicYCoNmfNBZiHckxHCv1S7wCAhJJTpLVqz6cQx+nyyhCIuF+937Ulhp5MG3WqzY+0eXh/3LjFxUTToVpuESnHousjnninKLcrWCilzIOtjhPMhhKUG4F9Ny5CC2e06oQlBi3ff4mhKMo81bkafSlWo1DgRXdd55s6XOXHgNBGFwihRJS5/+6IotyghTEhTPEKYMLI+Az0a4RwT2K8LQfOEEjSOi+ft7Vt5Yt1qqsXE8k7X27AFWanQMJEvX/2GRdM/pXT1BBr3rEd4bGg+9khRbm2arSkydzfkbkGEvIQwFQHyaq9qGm937k6W10OXRe8jgGCLhfpFi9Ogay18XoMptz2H2WqmfP0yNO3dIH87oygKcJUBqCJFirBjxw4WLVrEjh07SE9PZ/DgwfTp0+eKouSKcjPzv201wNYFYaoCwo5xsQeIMEToy+iaBWEYCASlw8JZfFtvdKGR5fViM5konliUMjVLMPXriQhNkHo+jZAoF5qmVsZTlBtNCAFYwT0DYe+CkTYNctYgXE+iWar4p/jgTxue3a4TzeMTuJCZQUSQAyklZWuXou/k22h8W11OHTpLTFykv70az4pyQ/2WCTUANDd4j2Kk3gGWOmjuRxHg/yMEzeITmNu+Mxm5uehCoOmCxDqlqdW2Ko9/Oo5LSemkp2RgD7ahm/R87pmi3Fr8tVcBczlwTwdrI4zke8F3DBEyG12PQQgTAoHDbOadLj2IDw0jNTubULsdzaJRtnZJhj8/iLjyRTlz+Bwx8VH52ylFURDyKub9rFu3jnr16mEyXRm/8nq9bNy4kUaNGl2zE/y3SEtLw+12k5qaisullvC9lfhX5pCQ+QEyYw4i9E2EuXzePh9C6FzMzCQ9N5dOC99FCMEXt/ejULATDEnK+TSGlB9DVno2M9c8RplapTCpG92/7XqMPTWeb21SepFnE8ExDM05Nm+bPxPqUm4uITYb9yz9jOW//sK4eg0ZVqNW4Hen3/kSK99dR8v+jRn39sj86sK/khrLyrUkpdefCZU6ETzbEaFvIPSYvH3+1WlTs7PZefYMg7/4hOKuED6/vS82kwlPjpcDP/3CA80exxpk5a2fXyAsJiR/O/Qvo8azcq1IafhnHngOIC92QrinI+yd8/Z5MaRGcnY2bquVjh+8y8Gki7zWoQtN4uIREjRdY1i1B/l1+xGGPtOPHmM6IjQ14+DvutXG3eX+Fp/+JJrN9pftjOxsjj408Zb5e7mWrurVbNOmTUlKSvrD9tTUVJo2bfo/n5Si/Jv4MyN0sLVFuGaAFoORNAAjeSTgn28eYrNxMOkiIHinSw+KutzomobUIPlsCplpWYx+dSjl65XFZNLVPHVFyUdCmMD5KJpzLDJ9DsaFLpC7DU0YhOTdjOw4e4bBVasztHpNAIy8dzlHdh+nRqvKjHhhkH+7T61yqSj5IZAJFdQb4X4BjFSMiz0w0qbkZTxCkNnMznNnKOpyM79rd+xmM0IINLPGyV/OYA2y8tjHDwaCT2rVWkW58QKZUKYS4HocbB0wUh/GuNgLfGfRhEG43U6218svyUlMbd6K5gkl/PfZAnw+gxP7T9FhWCu6jmqP0IS6z1aUfHRVAajLb47+08WLF3E4HP/zSf2VadOmIYRg9OjRgW3Z2dmMGDGC8PBwgoOD6d69O2fPnr3i944dO0b79u0JCgoiKiqKBx98EK/Xe0WbNWvWUK1aNaxWKyVLluTtt9++bv1Qbj5CaKCFgrUu5HwDnl0Ix4DA6niakDSLT+CdLt2JDwml14cL6bzwPVKys0moHMes9U/Qqn8TXh71Jo91e4aM1Ex86sFVUfKN5ugDgEx/ESzVwVI18EDrMwxebd+FRxo24fWtP9Hwrdf5cO9uDCmZuHgsj33yIHs27mdci8f57uMfVBBKUfKJECYwlQVTAjJrERgpiKB+gf0mTWNQleq83rELOV4fbd+fz6DPPkYCLfs1ZubqxyhdI4Ene89i5pBXkD61WIii5B+BFtQLfMch60OErVPe6ngmwEewxcLC7j3pWb4i41d9Q9P5b/LT6ZNIJDPXPM69Lw/h6zdX8VCrKfy6/YgKQilKPvlHNaC6desG+OfNDxgwAKvVGtjn8/nYuXMn9erVu7ZnmOfHH3/k1VdfpVKlSldsHzNmDEuXLmXJkiW43W5GjhxJt27d2LBhQ+C82rdvT0xMDBs3buT06dP0798fs9nM008/DcDhw4dp3749w4YN4/3332fVqlUMGTKE2NhYWrdufV36o9x8AjWhrM0RIhRMZTCSh4OwINzT0YSVitExfHv4EFtOn2JiwyaE2YPQhKBM7VL8su0wn728jHJ1SpN64RIOd1B+d0lRlOAH0YIHIzPewcj+ChH8AJqlComREQDM37GVuJBQmseXQBOC6LhITLrOvIcXcOrXM6roqaLks0AmlK0L2LoCYCT1B1NZNNfDWHWdoi43r2/9iRNpqdxftwFmXUdKSXzFYix7azVrF2+kQbfapCWl4450oanpO4pywwUyofSi4JyAcPTBSHsKvPsRrqmgR1M1phDpubks3rOLHuXKUzk6FpOuk1AtHk0TzB41j9BoN5eS0/80mUJRlOvvH2VAud1u3G43UkqcTmfgs9vtJiYmhqFDh/Lee+9d85NMT0+nT58+vP7664SG/rYaSWpqKm+++SbPPfcczZo1o3r16rz11lts3LiR77//HoBvvvmGvXv38t5771GlShXatm3LlClTmD17Nrm5uQDMnTuX+Ph4Zs6cSbly5Rg5ciQ9evRg1qxZ17wvys3NnwkVBrYWkLMCcjcg7N2vWB2vQbHiPNm0Bf0rV+W5TRt4dM0qvIZBQqXiNLu9ATNXP4Y318vWlTvzuTeKcmuTUqIFD/b/fOkZMMWDpTJCmNCERErJ2Nr1eK1DFw5cvMB9y5ay/ewZvIZBq4FNmPLFeJr0rs93H/9AWlI6Xo9626oo+UEIE5gTwZyIzFwI3qMIe3fAv1CALgRdyybyfOv21ClSlInfruCFHzahm3QadK1Fx3ta8eiHD3DiwCn2//gLV1E+VVGUa0hzDET6TkHmfISlQSATShMGwRYLExs2YVqL1iw98DNjln/F2Yx0vIZBu7uaM2vdFOIrFue7TzbjyfGoLGVFucH+UQbUW2+9BUBcXBwPPPDA/zvdbsOGDdSoUeOKTKmrMWLECNq3b0+LFi148sknA9u3bNmCx+OhRYsWgW1ly5alWLFibNq0iTp16rBp0yYqVqxIdHR0oE3r1q2555572LNnD1WrVmXTpk1XHONym99P9ftPOTk55OTkBD6npaX9T31Ubh6BTChLA4TrMTBXx0gZA2gI99NYdAu9K1Ri4/FjzPnpBzqWLktaTg5um40J79/HhZNJjKj5EIYhmfLleKo1rYhuVkXJryc1npU/c8Xb0eDhCMdQyPoYI/tzhOM+sFShW2IFNCGYuHol2V4vPctXxJCSziPbomsaj3V7hg2fbqZRjzpMWnx//nXmFqHGsvJX/NdmD8LWDqzNQQvGSLoLTCXQXOOJcjgID4rjvZ3b+WD3ToZWr8mlnByCQh2MfHEwW1fu5KFWU3C4gnh58zQKl4pRGRTXmRrPyp8RIu+eWIuG4NGI4KEYl2b5y1+4nkDqMQyqWp1cn4+HVn1DYkQkGR4PUkpGvjwETQjuLHUvp349w52P96LvpB752yFFucVcVQ2oRx999G/Vemrbti0nT568mq8IWLhwIVu3bmXq1Kl/2HfmzBksFgshISFXbI+OjubMmTOBNr8PPl3ef3nff2uTlpZGVlbWn57X1KlTr8gAK1q06FX1T7k5/ZYJ1QlyVkH2SoStDUJY0YRASh9lIyLpWrYcL7Rpz65zZ/h8/z6klNgdVsxWM8+sepSaraqgm1VR8utNjWflv/FnQt2DEDry0jTQIsBSMW/5Z//YbBIXzztdepAQEsq7O7dxLjMDr2Gg6Rrt7mrBIx+MueJ4yvWhxrLy3whh9mdCWarmZULtRdjbA6BrGiYhqFm4CMNr1ubBeg1Z/utB1h49jKZrOEMdRBQOY86W6RQpHYsQQmU1XmdqPCv/Hy14ONJ3HjJeAXNl0AsFpt1adJ02JUvxXrfbMAyD93btINvrwWcYGD6DYc/dGQg+SUNdlxXlRvlHGVD/1P96k338+HHuu+8+VqxYge2/LIOYHyZMmMDYsWMDn9PS0tSFUbmC/wIowVIH4XoYrA0xUseD9CHcUwix2XimZVt+vnCeIV98SumwcKrGFCIuJIR3fn2ZIKed+5s8yvH9p3jyywkkVCqGyXxdh+wtS41n5b+5IsshaCAi+G7IXoaR9RHCMRxpqcakRv4VYLsvXsCe8+ew6ib6VqrCwwvuQwjBV2+u4vVx79F2cDOGzbwzn3py81NjWfn/BGpCWVuCpRZo0f56jXoxNNd4ykdEUiY8gs/272PcyuXUK1KM6rGFKVW9BK9snYHPazCw7H0IAc+tfYKQKHd+d+mmpcaz8t/8lgkVBo7haM77kOlzMXK3IFyTkXoML7ftiCElvT9ajK4J4kNCaRIXz2s7nsXutDNnzFssf2sNQ5/pR9vBzdC0q8rNUG5C8Q/9iEmY/3K/V3o4CtSsWRNd1xkxYgQjRoy4cSf4L1agn2a3bNnCuXPnqFatWmCbz+dj3bp1vPzyyyxfvpzc3FxSUlKuyII6e/YsMTExAMTExLB58+Yrjnt5lbzft/nPlfPOnj2Ly+XCbrf/6blZrdb/eWqhcvMTQiC1ULD38teEyvoC4X4GIWwIQEofLouV8pFRLOzei9ScbA4mXaRsRCQXTyezc91e2g5pTuFSMWiahuHzZ1Qo15Yaz8rfIaVEc44EwLj0NJirg7nCbw+0wkR4UBBz2nWkQbE4tpw6SYWoaEyaYPUH3+GOcNKkVz0MQ2L4fCqgfB2osaz8HUKYkOZEQELGXMjdgggdAvhrQpkM/7LuzeITeK1DFw4lJ5Gem0vhCBfbVuzg5MHTDHzqdoJcQfi8PjRdU9PxrgM1npW/S3OORhqpyPTnwDEkLxNKR0ovmjBRyBnMi207Eu0IZuvpU1SJiUVKyYr5a4mvUJQaLSsDAq/Hq67Nyj/y448/4nK58vs0/lUK9JNs8+bN2bVrF9u3bw/8qVGjBn369An8bDabWbVqVeB39u/fz7Fjx6hbty4AdevWZdeuXZw7dy7QZsWKFbhcLhITEwNtfn+My20uH0NR/hdCmPxT8sw1wPkg2FpipE7CSHkQyCXWGcwH3XuRnptLy3ffoteHi9h7/hwh0W4eXnAfY18bxsZPf+SNCe+TnZmjiiUqSj654gHTfjsiZCbkrsNIGgy5PyGlj9ltO9IsvgRjv/mK2z5cyIs/bELXNB54czgzVk7GHeFizuh57NnwMz6fmr6jKPnFv3S7AGtThPtp0OMwkkdhpE1DCEGj4vHMatWOH04ep/V7b9P/0w9JysqkavNKPLJoDL3GdebjF5aycPqnavqOouSjQCaUcELQXWjOcZA5HyN5KPhOIqWHj3reQamwcHosWUDPDxfy6c97EULw2McP8PTXj3DhVBJzRs/jzOFzamqtolxnBTrE63Q6qVChwhXbHA4H4eHhge2DBw9m7NixhIWF4XK5uPfee6lbty516tQBoFWrViQmJtKvXz9mzJjBmTNnmDhxIiNGjAi8VRk2bBgvv/wy48aNY9CgQXz77bcsXryYpUuX3tgOKzc3zY0IuhNyVkPWRwj3VITwZ9g5zDrnMzzYTWY+7Hk7RV1uPIZBo571SDmfyowBLxNZNIL6XWpSrk7pfO6Iotza/JlQowAw0p4GczkwV0QIHZPmv3G9kJnJ/XXrM6JmHTI9ucQmRGNIyaQOU/lx2XYsVjOVm1T4b1+jKMp1JoQJaSoHpjKQMQ9yNyFC5wSCzQ6zmQuZmZQOj2Bh917YzWZ8SOp3q82ONXt5c8L7lKwaT5Oe9YgtEa2m7yhKvpJorgeRRoa/XmPQnaD7V8ezm7wAXMzMZE67TrQqUZJMjydwHX6q9yzSLl6iROV4ipQulJ+dUJSb3nUNQN2IdORZs2ahaRrdu3cnJyeH1q1bM2fOnMB+Xdf58ssvueeee6hbty4Oh4M777yTJ554ItAmPj6epUuXMmbMGF544QWKFCnCG2+8QevWra/7+Su3Dv/bVpCWqhA8FmztMFIfA3kJ4XqCuJAQPup5O+FBQTR/dx5n09MDb2yqNqvI+PdGoZs0Du86RonKcfnaF0W5lV2ZCXUbIngI5GzEyFyAcAxEWuoyu20HwoMcPLdpAy//+D2Dq1TjkUZNaXVnE+p0rEH7oS3Y/+MvFCtXBIvVrFa6VJR84p+mI8HaCKEXA1MpjJTRoEUgnA/TsXRZqsXEciEzk26LF+CwmPmidz/K1S5F9RaVeeLzcSSfTeX0oXMUKhGtpuIpSj65nAklNAcyaAiaaxwy4x2M3O8QwQ8hTcX5tFdfirrd3P3lZ6w49AvTmrfitsQKNOheiwZd6lCmVkl+3nyQUtUSEJpQQWVFuQ6EvI7L8TidTnbs2EFCQsL1+ooCIy0tDbfbTWpqqpoHqvxXl2vFyJwNyOQhCPfTCHvXwL5fk1Npv+AdXu3QhSZx8QB4fT58uT76xg8n9Xwakz+8n7oda6Cb1EPr9Rh7ajwrf4eUMvCwaZxvAXo8ImQWQgtGSh9C6PRY/AFFXC6eadkGs/7beJ17/3w+mvUl1VpUYvo3k/KrCwWKGstKfpLSCxiQ+R4yfQ4idDbCUhsAw/Dx+YH9PLV+De9160mZ8AgAPD4fZw+dY2jFsWiaxks/PE2xxCLouro2q/Gs5JfL118pc5FnK0BQP4RzwhX1Giu+8iJ3VavJqNr+ciuGlGhCML71FLas2EmP+zty9zP987knBcOtNu4u97cJnf/fIuRr+OyW+Xu5lq5rBtSlS5eu5+EV5V/pciYU5ooQPAZsHTHSHgffRYT7aUqEhvJWp27ULFyEu774lEPJSbzaoTNFg11kpWUycdFYGnT13xT7vD4VhFKUfHJlJlR3RFB/yN2MkTkfETQAaW3I1GYtKR4aytKD+3l243f0LF+RUbXrYgu2UrdjDR5ZOCZwiN8HtBRFubEuP5xiaYhwRYGprD8TSrgQrkfpWLoscSGhRNiD6LLofQTwduduOFx2LHYLM1ZMJr5icQC8Hh8mldWoKPkikAklLMigu/zT8jLexchZjXCOR5oSeLNjV2oVKcqs7zfw0d49jK/fiLalSpOdkU2PsR0CwSd1XVaUa++q8grPnj1Lv379KFSoECaTCV3Xr/ijKMrfIILQgoeCZztkfoCwNUVowQihUbdoYU5eSmPV4V/pXaESJcPCsVrMLLn4Fg261WJKr+e4o/g97Pv+gCqWqCgFgBZ8jz/t/9IMwASWGgihUzI8FIuu88HuncQEO7mjYiUA+j/ak0lLxrJlxQ56Fx7KiyNeVze5ipLPhDCBKR5srSHrC8hZj7B3QAgdXdOoFB3FphPH2H/hAsNq1MJtsxMaHcL7x+ZSpEwhRjeYyODyY0g6nawWDFGUfCal4Q8+SR/y0pNgigNTAkKYqFk4FoC3t2+jeqHCtChREl3TeGbNEwyd0Z9Fz3xGz9i7+PSlr7mOk4UU5ZZ0VRlQAwYM4NixY0yaNInY2Fh106woVyGQCWUqm1cTqhNG6qNgnEW4p1Pc7eKppi24vWJlntm4nv0XLzClaQtCPYJ1SzbRsn9jEirHoZs0lQmlKAWEsHeHoNsh90eMzDcQ9n5IW0vur1OfUuERHEpOYuzyr+lQugy3JVZg68qdaCad5n0aASqrUVHymz8TygfWBgjh9GdCJd8LmgPhmkKrhJLQEhoXj+fBFcvwGgZTm7ck7VQKezbu587HexEaE4IQAsMwVA0ZRcknQmh5/9WRjqFozvuRGe9h5HzjrwllLsNjjZvSoXRZvjp4gI/27eGemrWoWagIK99dS2TRcOp2rIEQQmU1Kso1dFUBqO+++47169dTpUqVa3w6inILEja04KHI3F2QtQjhno7Q3AD0rlCeU5fSeOWnzfQqXxGXxYrFbOadQ7OJLhbB6g82sPu7ffR/rCeucKd6cFWUfCaChwBgpM8CPTrvIVajZuHCCKHx/LKNHE9LpWxEJAB3Pdufng90BmDW3a9SvWVlGnarjdDUix1FyS9C6Ei9CNgLQ9bHkLsREfoaQpixmKB9qVKsOnSYj/ftYVy9hmhCI6JoOK/vfo64xKIsmvEpKedSGfjkHZitQr2oVZR8JKUPzXm//+dLT/tfEpnLIoROl7JlEELnqfVrKB4SQnF3CCZN47kNT6IZcOLAKd5/6iPaDWlO6Rol1H22olwDV/VapmjRoiodUVGukd9qQpWC4AfA1gEjdSJG0gAwUohxBHFXtRpMbd6KZb8cYMq61ThiXXi9BjPufJkda/Zw7vjFfO2Doii/kVIi7D0Q7ln+mlAXb4OsL5DS4M7KVXmjY1dCbDYmrV7J96dOEFE0jI9fWMryt1ZzdO9xfD6fusYqSj7zX5t1fxDZ9ah/dbzkezCSRwM+GhQrzpg69bi7Ri3e2PoTs77fSJGyhblw8iJvjH+fA1sOcfF0Ej6vmoqnKPnpck0oABzD0VyTIPM9jIs9IXcnUnoZUq06b3TsyulLl3jk2xWczMnA6rTx0r1vsv6j7zl96Gz+dUBRbjJXFYB6/vnnGT9+PEeOHLnGp6MotzITWvAQ8B6ErI8Q9p4IPQJNMzG+fn2SsrJ4cOVyDqckk57rAV0w5cvxzFo/BWeog/Uf/YDP68Mw1M2uouQnIQTC0c9fEypjNmgRYG+NEBrN40tQMiycJ9ev4atfDpDp8eAzJHdM7sGjH91P7/Fd+e7jzZw+dA6fV9V3U5T8JIQGWjTY2kHOSsj9EeEYiBAWbGYzI2rWZNPxYzy76TuSsrJIz83BFe3m4ffvY/o3k7iUlM6Py7bldzcURSGvJpRzpP/nS8+CuRpYqiCEibuqVcdts3H/iq/5/sRxsr1epJQ8/MFoZqx8lFrtqrF28SbSLl5S12ZF+R9d1RS8Xr16kZmZSYkSJQgKCsJsvnKJwqSkpGtycopyK/mtJlQCOMeDrTVGyoPgO4Jwv0iINZLOZcoxvUVrfjp1ki/276N/86qYNY2BZe/Dk+3BYjNTt1ON/O2IoiiA/2ZX2G8HW1vIWY+R/gIiqB8E9aJb2UQGValOmfAIXtv6Iw2LxVGrfXUWz/iUeQ9/QIOutZm4eGx+d0FRbnn+mlAGWBogXI+DKc6foYwZEfIiVWJiuaNCJZ5s1pLP9+8jNSeHPr3rk5Gcwai6j+COcBJRKIwSVeLQdFUPSlHyy+WaUAAEj0YLHozMeBMj6xOE8xGkpRYdS5eld/lK5Bo+5m7ZTNeyiSQUj+SJbs+w6fOf6DOxOwOe6J1/nVCUm8BVBaCef/75a3waiqL8Rkdz3In0HoLspYiQlxGmWATwXKtWZHh8DPzsI8pGRNI8oQTF3SEMevJ2StdIIL5SHEmnkwkvFJbfnVCUW54QGtLezV+MOOMt0BPA3hWANiVLI6Xk/hVfs+yXg7isVspFRNLyzqYYPkmfR7qTdCYZZ2gwQtNU8VNFyUdCaEgtDGxtIPsr8OxDhM1HaHbsGkxp2pRd584wevlXtEgoQauEkoS6bNzxSHfaDWlOcEgQl5LScUU4VT0oRclnUkq04MH+n9PnQFBfhLUuAGPr1EMIjfYL3uF8ZgYVo2KIdgTTd3IP6netTes7m3D++EXCC4UCqKCyolyFqwpA3Xnnndf6PBRFyROYq64XB+ejYG2EkTwCvL8iQl8jyFSI5vElmNGyDSfSUvn05310uas5uqYxsuZ4Dm49xMRFY2jYvY5afUdR8pkQAil9iKD+YGsM2SsxLk0DxyA0xwDalyxDi/gSNI1L4OOf91I9thC9JnTl2wXrmdr3Rao2q8i05RPzuxuKcsu7nKUsrY0Q7imgR/vru2FChLxGqbAIOpQqw/Nt2vPDieNczMqi/6O3kZOVQ/8SI0lPyWDW+imUqBynChkrSj76fRBYOB9ABN2OTH8ZmbkI4XoCaW1Mi/gE2pUqQ3hQEEv27qZV2ZIkVInn1Qff4cOZX9B1VDuGPz8wH3uhKP9eVxWAAvD5fHz66afs27cPgPLly9OpUyd0XV1UFeVa0Ry9kN7jkLMGEfomwlQMAcxu1x6PAbct+YDoYCflo6IoEx5Bg6616HpfOxrfVg9ALQGtKAWAEDrS1gohNIysRWCt65+KBzRPKIGUBo+u+ZaFe3Yxpk497qpWk/INytJ6YFNGvjgo8IbV5/WpB1dFyW/CAdYWkLMCfCcRYQsQuhMb8EKbNhxJSabvJ0uoWbgI1WJjibQ7aNi9Dk1716d09RKAGsuKUlCIoNsBkJnvIYIGIWxNARhTtwEAvT5cyM8XLhBis9O6REkadK2NEDBkWt/AMaSUKrNRUf6Bq3oy/eWXXyhXrhz9+/fn448/5uOPP6Zv376UL1+eX3/99Vqfo6Lckn7LhCoC7mlgqYGR1B/jbD3wHsWsQbO4eBb16IXDbGHZrwfpOb4LLfo2YvqdL9HR2Y/vv/gJw6eKkitKfhNC82dCOe5GuJ6A7M8wzlTESJ+LEBrtSpVmSpPmDKlag+W/HiTXbea+1+7m4LbDdA0bwKNdpiM0dYOrKPlNCJO/loylEcI1FYQT43xrjPOdwbhEYaeLdiVL826XHiRlZfHd8aOMfGkwZWqVZHTDSfSIGszRfSfxer353RVFUcgLIAVPQgQPxbj0DMaZCsisFUgpaZ1Qkjc7daVBseJ8dfAAhasWY9DUPnz1xio6BvfljQnvqeCTovxDVxWAGjVqFCVKlOD48eNs3bqVrVu3cuzYMeLj4xk1atS1PkdFucVJNHtHMJLAswMR9hqYioPM4fk2HXBbbXRbvIAZG9az78J5DCkpUqoQtz3QkXqda6HpGj4VhFKUfCeEDpbaCGFFZi+DoF5owcOQRga1CxehZ/lEnv9hI/ctW8rHP+9FE4KoYpFUaFiOe2ffFchmVCtdKkoBICxgbQSeXSBz/NdmLRiz7uXFtu1Iysqi2+IFvPTj95xIS0UKQVz5ogx/fiAJFYthMpnwetRqWoqS34QQYG/r/5D1JcI1GWFvCTKDQdVqUD22EKOXLWXCt9+w5uhhNCGIr1CMup1r0ueRHvl78oryL3RVAai1a9cyY8YMwsJ+K3QcHh7OtGnTWLt27TU7OUVRflu1Q+hRCPcLYCqDvNgNeb45eH9BF9C5TDmW3Nab8KAgVh76lV4TutB38m289+SHDKkwhh2rd6llYxWlABBCR0ovIngUwvkQMuM95LmqyIzXEMJEh1JleKJJc0bWrMOqw4fIdZuZ/NH9ZF7K5J7q43hu6FwE6m2rouQ3IXT/g6u1AcI9A9CQ5xsjL/YEI4XwIDvdyyXyQbeeZHg8bDx5jNFzh9Kkdz2eGTib4TUe4uyRs/hUEEpR8p0/S9lAuJ9GBPXESJ2EPFcLI3s5Qgi6l0vk9Q5daJlQkmW/HqRQ1WI8MH8EO9ftZUiFMSya8Vl+d0FR/jWuqgaU1Wrl0qVLf9ienp6OxWL5n09KUZS/YG0MMs1fdyL8Y9BCwXeYyY2bYhgGdee9hs1kopDTSWJkFEHBdqo0rUDlJhXQTbqqO6EoBYAQJqSpLEKYMHJ/QATfhwgehvT+StnwQpSNCGPOj5uZ9cNGRtWqyz01ahHkCiIsJpQeYzsGpuKpuhOKUhBoCGstZM4PIFyIsPdB5qAbZ3i6WStSsrPpvPA9ykdGUSI0jGhHMI6QIFr0a0ThUoUA8Hl86GqlS0XJV0JoSEsd/4fczYiQF8DaFOnZT7tSJQHByK+Wsu7YEZ5q1pJ2pcoQGu2mcMkY2gz0145S12VF+f9dVQZUhw4dGDp0KD/88ANSSqSUfP/99wwbNoxOnTpd63NUFCWPEAKhuRGhr4Eei7zYBZk8HOk5hBAG99SoxeIevQm12/nq4AHaj2zNPS8MZOnrKxndYCJ7Nh5QmVCKUgAIYfJnQjnHgeNuZPoryAsdkVlLAEG3conMaN6KETVrs/Lwr6TZ4LHPxmELsjKu5RPMGfOWuslVlAIgkKVsrY0IeQZkOvJCS2TqQ2Ak4baaubdmHRZ060laTg6rjxxm+KyBdLuvPa8++A4PNn+ccycuqEwoRSkAAlnKIbMQtpbI1AeRSbdDzgYABlerwRsdu9I8vgRfHdxPaNkYHllyPycOnmZ0w0l8+vLX+dwDRSn4rioA9eKLL1KiRAnq1q2LzWbDZrNRr149SpYsyfPPP3+NT1FRlD8wVwHpAelDhH8Awgw5K7mzcmWiHA56LPmAl37cxOGUZAwpcYY5KFk1nsS6pQKZUIqi5C8hTKDH+oNRvmMI12P+FXlyVhBjT6NrubLM37GN0cuWsvrIIQwkFocVV7iTdkNaBI6jakIpSgFhqgBGMphKIMLeAuMMwrOBEbXq4PH56LZ4Ae/s2MbpS5fI9XpxhQVTs11VYuOj0c26qgmlKAWAECYwlfZ/8J5AhL4OlqqQvYyq0Q5qFY7lkdUrmLxmFVtOn0RoAlekk4hCoTTp6V+FWkqZjz1QlIJNyP9hhPzyyy/s27cPgHLlylGyZMlrdmL/NmlpabjdblJTU3G5XPl9OsotQEoDvEfAVBR5rgGYy/nrUGhhbDl1ivjQCFJystl4/BhdSpfFbrbwzVvfsvyt1Qx++g7K1y97U0zHux5jT41n5UaS0gcyE0QQMv05yFzkX13L1pRsr4fvT56mftHifLxvD6XDI6gcFUPK2RRmDJhN8cTC3PPcwJtihTw1lpWbhfQeAXTkhdZg74JwTgBhY8WhIzSJS2DX2TP8kpxE97KJ6JrGvEcWsHfTAe5/czhRxSIwqWvzDTumovwVKb3gu4AwxWAk3QW+Qwj382Aux4XMDM5mZFPE5ebz/ftoVCyOQk4nR7YfYc6Y+TTuWZeu97bL7y5cE7fauLvc3yZ0xiTMf9nOKz2s4bNb5u/lWvrbNaDGjh3LlClTcDgcjB079g/7V69eHfj5ueeeuzZnpyjKXxJCQ5qKAxL0oojQuZC7HZn7PtVjB4Kw0nnhexRyumgWl0CQxUJClTiqtaxEhQbl0HQNw2eg6VeVCKkoyjUihI4kCH9SsvQHki3VkemzsVmq0aR4fT7et5cn16/hqaYtqRgVTVCogxJV4ug4rFUg+KTGs6IUEHpR8J0GSyM099PIrC/Ad4KWCUPI9fro+8kSWpUoResSpQi2WChRJZ7YEjEUSogGUPUaFaUAEMKE1CPyPmmI0DcAHZn+AhG29kQEleTRNWtYefhXykZEUtTtJjI+itLVE2jRt1HgOKoulKJc6W8HoLZt24bH4wn8/FfUAFOUGycwVz30dcCETL4LgnqCcCKEzld39EHXzPx84Tzv7NxG/4pVuGNSD76Y+w2fvfw1I18cRJXmFQPLuyuKkj/8Y1kigu8HBPLSU5CzDuydEUKje2IFKkRFU9jl5qXN31MqPJyhM/px8XQyI2qNp2TVeO6bc1d+d0NRFPLGs14I4X4a6T2MTH0A4ZyMEGasZljZrz+xzlC++fUgu8+dY1jnmtjNZmaPmseOtXuYtPh+CpWIQTepa7Oi5Cd/vUafvyaUFoSR1A+Q4BiCECYebdyUodVroguNGRvX0zwugbufu5NffvqVZwbNoWX/xvQa1yW/u6EoBcrfDkD9PsPp9z8ripK/hDAhtRCEEEhbSzTXJGTGOxg5q3A6HwNTMV7avIkQm50IhwOzrtOsb0OcYcFUa1k5v09fUZQ8/hc4uv9m15QAts6AxEgaCJYmlIm4ky2nTvLp/r3MbtsRgPBY/8p4NVpXDmQ/eT0+TGpFLUXJV0JoSC0UpA72PghHH4y0qeA9TqGQqfgMH89sWE/HMuUIsljQhKDjvW2o16UmRcv4V8czDEO9IFKUfCaEDiLI/0Evi3AOB89ejIw5iKCBFHY24YPdO9lw/BgDKldD1zRKVi9Bt9EdaNm/ceA4Pp8PXVfXZkVRVzVFuQkIIfyZUO7pSGkgL01F2HsizPEAvN2lBzNbteXrXw7Q/5MPOZ6TTuNe9fh8znI6OPqwdeXOfO6BoiiXCaEjgvqAuSIy8x1AQzh6I6VB9UKF+bL3HUQ6grn7y894afMmmvauj+H10bvwUGYMnA2q+KmiFAhCCBAOhGs80nsIshYinPcgNDe6prG8352MrlOPOT/+wJDPP8Ya46RSk/I8N3QuvQrdxYn9p9QiA4pSQEhpIFwPI7RQZPpLYCqNZmsGSO6oWIVF3XtyMSuTOz/9kC8O/ky7Ic05uu8E7YP6sHD6pyr4pCh5/nYGlKIoBZsQvw1n6XwAYW+PkTIGcn+EsLfQ9AQu5eTQNC6exCh/nYlOw1tTpWl5YhOiOfDTryRULo6maaqOjKIUCD6EtQ0EFYLczcjk4cjgUTgdg8j2ZWE3mehfqSoA7kg3M7+bQmzxSE7/ehabw0pIdAi6GsuKkq8uX5ulXhSCHwRTaYwLXQHQQ19HyhBSs7PoU7EK0U4nACNfHky/ST0IcgVxaMdRSlaNz7fzVxTFTwj/9VRKA2HvDvZOyIx3kZemQ8hzBFn9q9MWdbtpX6oMACUrx/Hyj1OJL1+MQzuPEl08AmuQTWUpK7c0dWeqKDcZKQ00x2D/h5wNiLB3QYRCzir6VizPgCpVeXr9Gqq/NpsdZ05TtGxhtq7cxbNDXuH4z6cwDInXq5aCVpT8JoQJLDVAL4TM2QCOwWjBd0Hud0Raz/Ncq9acS79EtddmM/27dUQXjyQ7I4fp/V9i9cIN+Dw+vB5vfndDURQANDRHXzAugkxDhL0DMgNy1vNIo6Y0iYtn0Gcf0+KdeZzLziS8SDifv7KcV8a+zYVTSXg9Xnw+dW1WlPwmhAb2bghhRuZ86184xNoEclaSGK7zROMmrD5yiMTZL7B4zy7iEoty9th5pvZ5gW2rdoOU6tqs3NIKfABq6tSp1KxZE6fTSVRUFF26dGH//v1XtMnOzmbEiBGEh4cTHBxM9+7dOXv27BVtjh07Rvv27QkKCiIqKooHH3wQr/fKwb9mzRqqVauG1WqlZMmSvP3229e7e4pyzV3xhiZkNsIUj0zqh8z6DPAihMY9NWqwoHtPEkLDWHv0CJVaVuSFjU9htpp457FFnD1yDp8KQilKvhNCByTCMRjhGOB/25oyDoxkNM1EyfAInmvVlocaNGLHmdOc8WYxc/0Uut7Xns9fWc6q99fndxcUReHyWAahF0K4pgESebELMvcH/xR6IXi4YQMWdO+JRdfZcPwoPcd1ZtrySZz+9SzvPrGEzLRMFYRSlAIgUPrCOQFhb4dMm4JMfx4hs9A0M83j43mtQ2d6JFZgw/FjiDA7L26eStUWFflg2idsX7MHaajp8sqtqcAHoNauXcuIESP4/vvvWbFiBR6Ph1atWpGRkRFoM2bMGL744guWLFnC2rVrOXXqFN26dQvs9/l8tG/fntzcXDZu3Mj8+fN5++23mTx5cqDN4cOHad++PU2bNmX79u2MHj2aIUOGsHz58hvaX0W5VoTQwFLN/0ELR4TMgtz1GMkjcJsvUjosnPk7tvH61h/JNXzYg6yExITgCncSGx+tloBWlAJCCBNooSCCAS/C/SToxTBS7oeshTSJS+BkWipjv/mKY6kpmE06uq7hDAumQoNygeOozEZFKSAsNQAB5pporvGQ+S5GyoMkuC1EBtl5bO23LD2wH5+UmC0mQgqFULhkDM5QJ7quY/hUXShFyW9CmMCUkPfJiwiZAzILI3kkIncT9YsV56dTJ3h0zSqSs7Ow263YHDaCnHZKVy+B0Pwrx6ugsnKrEVL+u6qVnj9/nqioKNauXUujRo1ITU0lMjKSBQsW0KNHDwB+/vlnypUrx6ZNm6hTpw5ff/01HTp04NSpU0RH+2vfzJ07l4ceeojz589jsVh46KGHWLp0Kbt37w58V+/evUlJSWHZsmX/73mlpaXhdrtJTU3F5XJdn84rylWQ0gtGOkIPwThXB+F6DKytwEhC6BHker1sPnWSBbu2M7pOfUqGhbNv036eHfQK49+9lxJV4tFNWt4KXQXP9Rh7ajwrBZWUEmQWZL6JzN2BCPXf8CKsZHslPqnx5Lo1lA6PYGCVaniyPTza7RlK10igz8Qe6CatwBZCVWNZuZVI6QMjGYSOPN8EEfYBmEqBTEdooRhS8tHePWw4foyJDRsTFmTnm7fX8Pmc5Uxecj8RhcMwmQtuKVc1npVbhZQG4EEIK0bySNBj0VyPII0kEC4yPR6SsnKZsXE9HUqXoXWJUiSfTWF86yfpPqY9ze5oiKZrBXbFy1tt3F3ubxM6YxLmv2znlR7W8FmB/3tZs2YNY8eOZc+ePRQtWpSJEycyYMCAfD2ngvl/+n+RmpoKQFhYGABbtmzB4/HQokWLQJuyZctSrFgxNm3aBMCmTZuoWLFiIPgE0Lp1a9LS0tizZ0+gze+PcbnN5WMoyr+VP3vC7f8QNABha4NMHYtMGYb0nces6ySEOOlatjwlw8I5fekSZeuUZtb6KRQuFcu3C9aTcj5NTclTlALAv6qWGSz1Ec4HIPcn5LmmkL0Gm8mK3aRTJSaWPpUqk5ydTY4mmfTh/Qyccjs71+5h59q9+d0FRVHIm5KnhYFwgWMkmEojL3ZHpj6KNDIQSOJDXAyqWg2XzcbZ9AzaDGzGjJWT0TSNbxd8R05mDj6VDaUo+UoIDSGsSOlDWJshnA8gM95DXugInr0EmW1EOWzULVKU1iVKcS4jHXuYgxmrH6VFv8Zs+GQzR/YcV5mNt5jc3Nzr/h0FdYbXvyoAZRgGo0ePpn79+lSoUAGAM2fOYLFYCAkJuaJtdHQ0Z86cCbT5ffDp8v7L+/5bm7S0NLKysv5wLjk5OaSlpV3xR1EKKv9cdQMteJh/g/cwIvR18J1Epj1GTFA2LRIS+GL/PkYvX0pqTg4hkS40i07y2RScIY7AlLx/WdLk36LGs/JvIoQZzJXBVAI8exDO+8HWGJk+Ey3nK3pXqESWx8MdHy1i04ljBDlsAKReSCckyh04jtdz8wWV1VhW/k0u12zUgu8CmQtoiJDnIPc75KVpVIsJpWJUFDM3fcfU79aS4/US7HYgdUF2Zg7WICu6rmEYN+eDqxrPyr+JEDrYu/qDUZ4diJDnQY9GXpqCxdjF7RUqcTDpIrd/tJhfkpNwh/pXvUw6k0JIpDuwArWakndzatKkCSNHjmT06NFERETQunVrhBBs37490CYlJQUhBGvWrAH82UtCCFatWkWNGjUICgqiXr16f6iH/Vfmzp1LfHw8M2fOpFy5cowcOZIePXowa9as69DDv+9fFYAaMWIEu3fvZuHChfl9KkydOhW32x34U7Ro0fw+JUX5r34rTu5FuGcitFBk6kMIS02EHgPGGTqVKcv7XbtzJCWZ+5Z9yZnsTHo+2JkzR84zuv5EDu08itfju+lqyajxrPzb+Asa6+DoB7bWkLkIPHvA1gZpJOG2+Pis9+00KhbHpNUreX/ndpr2rk/RsoV5/u5XWTj9U3xeH57cm2slHjWWlX+by8XJEXaEayrgRaY8hLB3RGgWMM4xoUFjZrVux8pDvzJuxTJMoXY6DGvF1lW7eLD541w8lYwn13vTZSqr8az82/xWnHwcwlITmf4CIBGWGmCco2RIMF/efgdRDgdjli9l7dEjdB3VDpvDyiPtn2bth5swvAbem+zafDP7zyB5Tk7OX7adP38+FouFDRs2MHfu3L/9HY888ggzZ87kp59+wmQyMWjQoL/1ewV1hte/JgA1cuRIvvzyS1avXk2RIkUC22NiYsjNzSUlJeWK9mfPniUmJibQ5j9Xxbv8+f9r43K5sNvtfzifCRMmkJqaGvhz/Pjx/7mPinIj+Ismxvk/WNsg7B2QqeORaY8BOVhMFipGRTKoSg2KuF1sOH6M0OJhTFs1mYgiYSx+5jPOHjl3U71xVeNZ+TfyB5Ut/im25oqI4HvBsxN5vj14f8FqsmIzm+latiy3V6zMgaQLHE5NZtQrd9H7oS5s+HQza5dszO9uXFNqLCv/VkIIMJcGLOAYgDBXRF7shcx4Ayl96JpG/aKFGVGzNiZNY+PxY1RqnMhTXz2MJzuXxc98SkZapro2K0o+u7xwiJQ+hLkKIngMMnMxMqkfGOexm21EOYK5LbEiTeMT+OnUSdLw8tinD1K/cy2+fG0Fu9bvy+9uKH9T0aJFrwiUT5069S/blipVihkzZlCmTBmsVuvf/o6nnnqKxo0bk5iYyPjx49m4cSPZ2dn/7+/90xleN0qBD0BJKRk5ciSffPIJ3377LfHx8Vfsr169OmazmVWrVgW27d+/n2PHjlG3bl0A6taty65duzh37lygzYoVK3C5XCQmJgba/P4Yl9tcPsZ/slqtuFyuK/4oyr+FECb/lDzXGP8G30mE+3nI2YiRNByTPEel6DCOpiSz/tgRbGYzNpsFV5iTqs0rUrhkLGkXLuHz+m6KN65qPCv/Vv7aE2YwVwVzBfD+gnCOBVMcRvJIjMzPqBoThc/IZcme3Zi03wqdlm9Yllptq5KVnk1GauZNUX9CjWXl38yfDWUggkf5FxDBhuaaCJnvYaQ+hNvqpZjbwZbTJzl48QImk47FaiYmIZqabaoRHOIg5Zx/mtrNEIhS41n5txLChBA6IqgnCCfS+zPC/SyQi5E0GJnzI3WLxJKWncFnP+/FZjZhNpsxmXWqNK9I+QZlSU/OICcr96a4z76ZHT9+/IpA+YQJE/6ybfXq1a/qOypVqhT4OTY2FuCKuMa/TYEPQI0YMYL33nuPBQsW4HQ6OXPmDGfOnAlE7dxuN4MHD2bs2LGsXr2aLVu2MHDgQOrWrUudOnUAaNWqFYmJifTr148dO3awfPlyJk6cyIgRIwLRx2HDhnHo0CHGjRvHzz//zJw5c1i8eDFjxozJt74ryvV05ZS8aQgtCJn+EsJ5LwgLZC6gRIjO+PoN2Xv+HL2WLORsRjqJdUqTk+NhycwvuJSUjm7Sb8q6UIryb3K5CCr2HmBtBNlfgxaBFtQZspdj8m5lUuOmFHK6uGfpZ3y+fx9RhcNxhTn56ZsdbPt212/1J9TNrqLkG/+DqwZoCPeTAMiM1xDB48B3ATIX06R4YQZUqcqXB35m2JefkeX1Urp6AmnJGXz03BfkZuWiadpNEVRWlH8/AxE8BszlkZnvImzNwFIZsj7EqZ3kiaYtMAxJ7w8XsfX0KeITi2Iym1jx7lqO7DkeqMF6MwSVb0b/GST/b5lNDocj8PPll4G/f4byeDx/+ntm82+r8V1elfzv/P/wT2d43SgFPgD1yiuvkJqaSpMmTYiNjQ38WbRoUaDNrFmz6NChA927d6dRo0bExMTw8ccfB/brus6XX36JruvUrVuXvn370r9/f5544olAm/j4eJYuXcqKFSuoXLkyM2fO5I033qB169Y3tL+KcqMJYQI9FiklIuhOhLkcMvVBEA6EFgK+w5SPCue9bt3J8foYt2IZZ7LSGfD07ZisJmbe9QoHtvyKN9erbnYVJd/poIWDpSHC3h2ZvQKZ+R5YqiF957GIVF5u24H2pcrw0ubvWbJnF3U616B2pxqsfG8d7z/5IT6vT9WfUJR8JoT223T54FEIPRyZPBDM5fwPIL4jdChdlpfbdWT/xQtMXr0Sw65z59Q7SD6fxrT+L3L++AU8uV714Koo+UgIHUQQYCCsbcHWCTJeQ3q2IyylwXeSUJvBu127UTY8gsmrV7LxxDE6jmhNfOXivP/kh6x8by0+r6FeEN1EIiMjATh9+nRg2+8Lkl8L/3SG141iytdv/xv+TmaFzWZj9uzZzJ49+y/bFC9enK+++uq/HqdJkyZs27btH5+jovzbCZH3T0FQV/9/9XhE0G0YaU+A9CJcj2HWNYq53TxQrz4Os5UP9+2hWVwC970yFGlIvv1gPRXqlyUmPjqQSaEoyo3lfzNmQuoxoMeCJxvhuBu8vyCTRyHC30HX/G9TB1SujMsWxPqjR/BJgxZ9GyGl5ODWQ5z+9RyNe+bvDYqi3OoC0+WDevk3WJsiLNUxLvZB2FqDKQGTplEtthAJIaHk+Hx8tHc3HUuX5f43h5Oblcvyt1fTsFttgkOD0dW1WVHyxeWFQ6SlOiBBC0XYuyCzvkRmzkeEvoVZN2PWYVTt2kQEOfniwM/Eu0O445HuCCHY/PU2LDYzVZpWyO/uKNeA3W6nTp06TJs2jfj4eM6dO8fEiROv6XcMGzaMl19+mXHjxjFo0CC+/fZbFi9ezNKlS6/p9/xT6kqkKMoVpDQQrof9H3xnEK6JkLUQI2kIUmYR5XDisFgoGRpKdHAwJ9LTMISkVvvqRMdH4cvLglJvaRQl/1yuP4G5Blhqge8UIng4YMI43x6Zuw2XLQiAwk4H1WMLkZyVxdmMdEpUiaNK8woYhoHX4wuMaUVRbrwrpss782qLCDvC0R8jbQpG6mNI6SPEbifMbqVCVDQ2s5lj6WnYgm3U7lANd4QLI++arLKhFCX/CKH7r89BfUCLBN8RhGsyeH/BON8J6T1JRJATgGIuF2UjozibkU5qVhaVmyRSpmZJf/1Vn8qGuhnMmzcPr9dL9erVGT16NE8++eQ1PX5BneFV4DOgFEW5sS7XnpDSi3A9jhAWjOyViJCZkPsTRuYShPtxahYuis/wsfrIYe6oUImQCH9x0K2rthMS4aJUtQR8Ph+6rudvhxTlFiaEABEMtpZI7ynwbEPYu4CpFEbyPQh7bxLCGgOw6fgRXFY7McFO3OFOUpMu8d2H39N6YFOkJpCGVNmNipJPhDCBMOVdmyf7N3p2IMIWQdYiDM8BTK7xVIyOITM3i03Hj1EiNIzIQuEAfPvBBqq1qEhkkXB8Xl+groyiKPnFDI67QOYiM95CuB4ADIykIQjng1SOKQPADyeOU7tIMdzB/po9J345zZGdR6nXpRaGYSCECNQFUgquNWvW/GFbuXLl2LjxytWIfz/7q0mTJn+YDValSpV/VHu3IM7wUneSiqL8qd+WkfUigu9HaKHIjPkI5wPgO4uR8jCavMCAylUR+Hhq3RpOpqVRs1UVSlSNZ92Hm9iyYmd+d0NRlMv0aLA29xcpz/0B9Diw1sdIewojewV1ihQhMTKCbw//wuI9u3CFBtN+aEuSz6fy3lMf4fX4kIZacEBR8pO/bmMhf7Zy8DiE0JGZixDOByHne4y0p7GbvPSpWJnU7HQeW7OKSzk5tB7QhNCYED59+WuO7j2hMqEUJZ/5X/iaQdj8GVGm8pD9JcLeAfRojJQJyNwddCpThmiHjXd2bGPj8WMUKRlLg251OLTrGJ++9BWoy7LyL6MyoBRF+UuXa0NJcxmk9CGC+iFMxTCShyMcwwAf8tIMzEH9eLhhfTw+gxd+2EjTuATqdq2FJgRpFy9hc1jRdB2TWb1xVZT8IoSOlAJhLoPUCyM0F+R+DzINzdYSmfEWUouhaVxzQLD55Am2nj7FwCrV6PlQF4SElPNphES51NtWRclHgWuzxb+kt3AMRWgOjPTnEKFvgu8oMmsFruBBPNq4EZdyPTy1fg13Vq5Ku2EtMek6yWdSCIn0Zy6rbChFyR+BWQea27/B1g4wQdbHCHMpMJdFpr+AsDahX6WKSAmf/LwXAbSvUIbi5YuSk5WL1+MlyGlXWcq3mPLly3P06NE/3ffqq6/Sp0+fG3xGf48KQCmK8v8K3OxaG/jfulrbICyVMFLuR9jagxYMGW9jsrVnVK1aSCn45tCvlAoLp5jLzelfz1K4ZAxej08FoRQlH12uJ4OwISw1kUYKQuYic7cgczehhb6GzF4OUlCrcHNqFY7leGo628+epkOpMqReSMPutGG2mhAIdbOrKPnIX9gYhL29f4O9J0KPxEgeigh5DoxLkP0hwfbbmFC/Ph5D8OXB/TQsWhy7w8rFU0lEFA7H6/FiMqtHAkXJL4H7bL2wf4OlHpcDUeAFcxXIWowwlaJLmSqAYMeZs1zKzaFh8TgO7TxD0TKFkNI/VV69JLo1fPXVV3g8nj/dFx0dfYPP5u9TVxtFUf62yze70t7RH4gyV0XYmmGkTkaYyyH0SMj+Biw1aBGfgBAaHsNHkTKFuHgmmZ83HaBhtzr53AtFUQIrX4pghK0Z0ncRYeuI9PyMTH8NEf4BePeBL4ViIQ2IdDiQQEyZWMxCY9X762jUvQ4Wm0UFoRSlAJBSojn6+j/YWiJM8RgX70A4xyIEkPM1Zmsz2pcqhdVkIdPjIcoVyaFdx8i6lEnZ2qXVKnmKks8CgShTKf8GmYEwVYDsL5G5P6EF9UbmbAAthCqx5cnxevH4fBQpXwSfx8eKt1fTZmAzhK4CULeC4sWL5/cpXBV1pVEU5R/zFzzUEI6+/kCUXhjsPZDpLyE9O9D0KHR5FI0scn0ejqYkExkbRr0utQLHUCtrKUr+CwSiNDfY2oIWhgi6DXxnkcmjwZKINJKxiVPomsbe8+cwkLTq3wST3R98UivxKEr+u5zxIKWBFjzcv9FcEWGpgUwdB9KDEEFY5GGk4SElK4Nz6ekkVCxGmdqlAsGnf1LcVlGU68O/Wp4O5gpgLgN6LCLoNmTOOmT6y2AqhfSdwSKSEAJ+vnAei9VM28HNQfP/W+D1qGuzUjCpAJSiKP8TITRE8N34/zkRiODhyMz3kWlTQOi4rEHEh4ZxPDWJVYd+BWDf9wdQ2cGKUnAIYcpbeCAcbJ1BmBFBPQGBPN8ZjCQAqsUWQgiDhbt2kuPxcObYeVLOp2KogLKiFAiXp9lKaSCc4/I2hiGCuiPTHkdmLgChU8gVQlRwMNtOn2TXubP4fAY//1979x4kVXmve/x5V1/nDgSZgYSLkIhCgaAc5gAaODpmUHckN5Vt4kaPkhgh2YQTIh4TMdvKhhi8FUWpyXGG3HbIZSsmpUUU4sQTDoZTSEVFMGo8RirOAIMwA3Pv9Tt/tNPSgjDTc+nVzfdTNTXTa95e6/316md6+u13rbXjdQ7dAQIkORAVlSIzpPAUSZ5c0c1S119ljV+U1KmwF9LU8gq1drZp48svyvd9vfnS39XR1s6AMgKJASgA/cSTK/665IplXW/LlX5X6nhB/oHLZJ2va3TZMF024eNq6+rU+Bnj1eX76mjrYPYEECDOheS8AskbIRVcLVmLVHC5FJkkv/Ea+UcfUsiFtHDKVBVEPcVHlOgjI4ep7VhbtrsO4DjOee9deCAhV/qd5MLEAbnSO6TWjfIPfl6WOKTpIz+qaRUVaunq1CdmjFdbe6cSXQlem4EAcc7JeYVysYuk6IVSol6u+FZJIfkHqmStm1UULdA/Tzlfcqbh55QrVhRX69E2rniJwGEACkC/SB6WF5JkciX/mrxMdPuzyX98vWL5h/9Vav+jYqGQjna0y0lq7+ji6rFAADnnSd4QudBH5QqvkxL1kvcRecVflY79UP6Rf5esSxHP1NLZoXBhVE2HjvKPLhAw3YPKZp1yZXfLuais7Rm5oesk/x/y310qdf1VxdGwjrS1KRT2dLSphSvjAUHlSuXiVVJsttT5l+SV8+KXym/6N/lH/5dCkhJ+Qp2+LxcJqb2lg9dmBAoDUAD6VfKcMrHkz0U3SZEZspafSqGxcvF5Usf/1rBogzzP6c2WIwqHQzr67lHOCQUETOpQnNBH5cJj5QpvkiXekbX+Sq5kqZy/X4X+/1FBOKy3m44oXBxVSzMzoYAgci4ieUNk1iVXvEIuNErW/KBcvFoKj5fat2ho7JgSfpfq/TZ1JRJqOdrKeWSAgEldzdYbIcUukYtfIbX/Ser6q1zRjVJir8q8FxUPh/X6kUOKFkZ17EhLdjsNHIcBKAD9Ljn1PyJ5wyUXlYvOlSu8TtbyH7Km1ZIrVMgLaWrFSJklVDy0mE9ngIBKnag8eqHknSUVLpbkyRo/J1mTnPM0YdhHVBDxVFxWqLb2Ds47AQRQ8nwyYSlyTvIcUfH5cgWfljX9u6zlF5IrVDwS08ThZynkeSosLlAozFsFIIiSRx2E5CLnSpHz5QpvlLpekx36F+m91+0p5RXynK+SocVqa2MmFIKBVxUAAyZ1YuPohcmTG1tCrvQuyY7KP3iF/GMbJJn2H2tWKOSp9VgbJzMGAio5I8rJK/pnSZ4Uu1Su4LPyj9wu/9AiyT+ijkSHWv2EOju7st1dAB8i+drsSQWfe2+JL1d2r9S5U/6By+S3/UGS6Z3mZjnn1N7azjmhgAB6fzZUqVz80uSyopuk8CT5h26Qf/g2yTrU3N4iP+TU0daRxd4CSeFsdwBA/uv+lEZF18v8Y1JLrRSdJa/oBln7n3RWdLjkzlFBUVwdnV2KhhgbB4IomWVJLiZXslLmH5Han5P7yG8la1Wk6wUNiV8iyVPC9+U5x1W1gIByziVnQpV+W85F5Tf/Z/LNa+yTUvtWVRROllmBYgUxDpMHAiw1Uzk8MXloXufLkh2VK/uh1PWGitUoF7lIikTU0dmlsOfJ439tZAnPPACDy8Wkgs/JFS6StT4hO/x1yW9MfYoT8hxX4AECzrmQ5A2V88qkkjslr0TW+HlZ+3OSfDnn1OV3yudQPCDQkofMR5Pnhir8F6ngatnRB2TNayS/Rc6F5VtC7r3X5i5em4HAcs5J3hApOl2ueJmUqJc1fl7q+mvq0HhzCflmMp/XZ2QHA1AABpVz4eSnM6GRkhJyJf9TikyRf/g2+c0PyvOc5Dn5XB8PCLTk7AmTV1AtyUnh8+SV3S21/qf8d5co6g7JKTlrgn90gWBLnhvqfEmeZF1yQx6QXET+u0vlWjclZzOGPIkJjUCgJT/Q9eRiF0lyUsFn5Ir+u+zo/fIPr1DU65LnSb6ZEgkGlDH4GIACMOiS55+IyBV8TopfJrU+LnW+KFf4RTnnKeR5CnnJN6xcgQcIrvcPr3NyQ+6TWaes6S65+OVyoZHyvLDMfJkTJz8FAi55GI/JlXxTLjJFduyHkrVKBVdKkjznFHLJ12beuALBlTpcPvRRueL/IevcK7X8RK7wS3JekTwvJOd8yTmOOMCgYwAKQHa5Iik6S67kDsmOyN8/R/67X5dzfnKKMJ+2AoGXnNk4NHn1y6IlcgX/JP/wN+Q3/Bepa6+cTJ7nMQgFBFzykLxw8pC82H+TK7tb6vi/8humy2++X3KezIw5ykAOcM6TvKFSeKxUvEyKnCO/8QvyD1wuZ43ynEkeg1AYXAxAAcgq58JSeLwUq5Q6/iyFJ8gNuVfy35X8RoVD4pLuQA5IHpKXkFfyNZn5UttWuWE1yXx3/S3VBkDwOReWYpdI3khZ21YpfpW8km9Iib/L7FhqljKAYEsekheRV3SDlKiXEvVywzZILi4l9inkeTKP12YMHgagAGRdctp/WIovSM6E6twtO3CJdOASWeLtbHcPQA+lpv3LyQ1dnzyMp/GLssYr5DevZQAKyCHJN64JuaKb5Uq+IWv5jezgp6SDl0vWme3uAeih7qvkufDZUtn3JVckO3i57OBl8lueUMgxAwqDhwEoAIHgnEt+GhOeICX2SeqS1CaXqM921wD0knNOis5J3ki8lfze9f+y1h8AmXEuLIUqJFciS/w9udA/IFlLdjsGICNebE4yv/4hSZLz/y6uLoDBFM52BwCgW/fsCYtfKee/K7m4XOy/ZrlXADLhnCezhNzQGll7nVzhF5PnlXH86wHkkuQ5oXy54lslVyCFz5W8YdnuFoBMeWfJDVkvdb0mFd0o5qRgMPFfIIDAcc7JChdmuxsA+si5kCwySS5yniTvuEP0AOSS5IByVCq6+b3bzJgAcpVzThb7pBT7pKTQe4fbAoODASgAgeRcJNtdANAPmPEE5Ifkm1TeqAL5gP+zkS28inzA+vXrNW7cOMXjcVVWVmrHjh3Z7hIAAAAAAEBOYwDqOL/85S+1fPlyrVq1Si+88ILOP/98VVdXa//+/dnuGgAAAAAAQM5iAOo49913nxYvXqwbb7xRkyZN0sMPP6zCwkLV1NRku2sAAAAAAAA5ixMzvKejo0M7d+7U7bffnlrmeZ6qqqq0ffv2E9q3t7ervb09dbupqWlQ+gmg/5FnID+QZSB/kGcAyD/MgHrPwYMHlUgkVF5enra8vLxc9fX1J7RfvXq1ysrKUl+jR48erK4C6GfkGcgPZBnIH+QZAPIPM6AydPvtt2v58uWp20eOHNGYMWP4dAYYZN2ZM7OM10Gegewjy0D+IM9AfuiPLOeiLnVKpyi5S52D15k8wwDUe4YPH65QKKSGhoa05Q0NDaqoqDihfSwWUywWS93uDiefzgDZ0dzcrLKysozuS56B4CDLQP4gz0B+6EuWc0k0GlVFRYX+VP/UaduWlpZq5syZ8jxPS5Ys0ZIlSwahh7nP2Zk2nHkKlZWVmjlzptatWydJ8n1fY8aM0dKlS7Vy5cpT3tf3ff3jH/9QSUmJnHMf2q6pqUmjR4/W22+/rdLS0n7t/2CjluDJlzqkntdiZmpubtaoUaPkef1zVPGZlud8qUOiliAiy4OLWoInX+qQyPNgypc6JGoJomxmOeja2trU0dFx2nbRaFTxeHwQepRfmAF1nOXLl2vRokWaMWOGZs6cqQceeEDHjh3TjTfeeNr7ep6nj33sYz3eVmlpaU7/0ToetQRPvtQh9ayW/v5E5kzNc77UIVFLEJHlwUUtwZMvdUjkeTDlSx0StQRRNrIcdPF4nIGlAcQA1HGuvfZaHThwQHfeeafq6+s1bdo0bd68+YQTkwMAAAAAAKDnGID6gKVLl2rp0qXZ7gYAAAAAAEDeODMO5AyQWCymVatWpZ1UMVdRS/DkSx1SbtSSC33siXypQ6KWIMqFOnKhjz1FLcGTL3VIuVFLLvSxJ/KlDolagihf6kDu4STkAAAAAAAAGFDMgAIAAAAAAMCAYgAKAAAAAAAAA4oBKAAAAAAAAAwoBqD6wfr16zVu3DjF43FVVlZqx44dp2z/61//Wueee67i8bimTJmip556Ku33ZqY777xTI0eOVEFBgaqqqvTaa68NZAkpvanlRz/6kS6++GINHTpUQ4cOVVVV1Qntb7jhBjnn0r7mz58/0GX0qo4NGzac0Md4PJ7WJlf2ybx5806oxTmnK6+8MtUmG/vkueee06c//WmNGjVKzjlt2rTptPepq6vTBRdcoFgspo9//OPasGHDCW16m73TIcvBy7KUP3nOhyxL5DnIzxuyHMy/sUHNM1kO9vMmyHkmy2QZyJihTzZu3GjRaNRqamps9+7dtnjxYhsyZIg1NDSctP22bdssFArZPffcY6+88op9+9vftkgkYi+99FKqzZo1a6ysrMw2bdpkf/nLX+yqq66ys88+21pbWwNVy3XXXWfr16+3Xbt22Z49e+yGG26wsrIy27dvX6rNokWLbP78+fbOO++kvg4dOhSoOmpra620tDStj/X19WltcmWfNDY2ptXx8ssvWygUstra2lSbbOyTp556yu644w577LHHTJI9/vjjp2z/t7/9zQoLC2358uX2yiuv2Lp16ywUCtnmzZtTbXr72JwOWQ5eljOpJah5zpcsm5HnID9vyHIw/8YGNc9kOdjPm6DmmSyTZaAvGZF1VQAACxtJREFUGIDqo5kzZ9qSJUtStxOJhI0aNcpWr1590vbXXHONXXnllWnLKisr7Stf+YqZmfm+bxUVFfaDH/wg9fvDhw9bLBazX/ziFwNQwft6W8sHdXV1WUlJif34xz9OLVu0aJEtWLCgv7t6Sr2to7a21srKyj50fbm8T+6//34rKSmxo0ePppZlY58crycvjN/61rds8uTJacuuvfZaq66uTt3u62PzQWT5fUHJsln+5Dkfs2xGnoP+vCHLAyMf80yWg/+8CUqeyfL7yDLQexyC1wcdHR3auXOnqqqqUss8z1NVVZW2b99+0vts3749rb0kVVdXp9q/+eabqq+vT2tTVlamysrKD11nf8iklg9qaWlRZ2enhg0blra8rq5OI0aM0MSJE/XVr35VjY2N/dr342Vax9GjRzV27FiNHj1aCxYs0O7du1O/y+V98uijj2rhwoUqKipKWz6Y+yQTp8tJfzw2xyPL6YKQZSl/8nwmZ1kiz5kiy8HLsnRm55ksZy5f8kyW05FloPcYgOqDgwcPKpFIqLy8PG15eXm56uvrT3qf+vr6U7bv/t6bdfaHTGr5oNtuu02jRo1K+2M1f/58/eQnP9HWrVv1/e9/X3/84x91+eWXK5FI9Gv/u2VSx8SJE1VTU6MnnnhCP/vZz+T7vmbPnq19+/ZJyt19smPHDr388su6+eab05YP9j7JxIflpKmpSa2trf3yfD0eWU4XhCxL+ZPnMznLEnnOFFkOXpalMzvPZDlz+ZJnsvw+sgxkJpztDiA/rFmzRhs3blRdXV3aiQUXLlyY+nnKlCmaOnWqJkyYoLq6Ol166aXZ6OoJZs2apVmzZqVuz549W+edd54eeeQR3X333VnsWd88+uijmjJlimbOnJm2PBf2CbInl7Ms5WeeyTIyQZaDiTwjE7mcZ7IcvH0CZBMzoPpg+PDhCoVCamhoSFve0NCgioqKk96noqLilO27v/dmnf0hk1q6rV27VmvWrNHTTz+tqVOnnrLt+PHjNXz4cL3++ut97vPJ9KWObpFIRNOnT0/1MRf3ybFjx7Rx40bddNNNp93OQO+TTHxYTkpLS1VQUNAv+/l4ZDkpSFmW8ifPZ3KWJfKcKbKcLghZls7sPJPlzOVLnslyElkGMscAVB9Eo1FdeOGF2rp1a2qZ7/vaunVr2kj/8WbNmpXWXpKeeeaZVPuzzz5bFRUVaW2ampr05z//+UPX2R8yqUWS7rnnHt19993avHmzZsyYcdrt7Nu3T42NjRo5cmS/9PuDMq3jeIlEQi+99FKqj7m2T6TkJYjb29v1pS996bTbGeh9konT5aQ/9vPxyHLwsizlT57P5CxL5DlTZDldELIsndl5JsuZy5c8k+Uksgz0QbbPgp7rNm7caLFYzDZs2GCvvPKKffnLX7YhQ4akLi96/fXX28qVK1Ptt23bZuFw2NauXWt79uyxVatWnfTysEOGDLEnnnjCXnzxRVuwYMGgXYq0N7WsWbPGotGo/eY3v0m71Ghzc7OZmTU3N9s3v/lN2759u7355pu2ZcsWu+CCC+wTn/iEtbW1BaaO7373u/b73//e3njjDdu5c6ctXLjQ4vG47d69O63WXNgn3S666CK79tprT1ierX3S3Nxsu3btsl27dpkku++++2zXrl321ltvmZnZypUr7frrr0+177487IoVK2zPnj22fv36k14e9lSPTW+R5eBlOZNagprnfMly97bJczCfN2Q5mH9juwUtz2Q52M+boOaZLJNloC8YgOoH69atszFjxlg0GrWZM2fa888/n/rd3LlzbdGiRWntf/WrX9k555xj0WjUJk+ebE8++WTa733ft+985ztWXl5usVjMLr30Unv11VcHo5Re1TJ27FiTdMLXqlWrzMyspaXFPvWpT9lZZ51lkUjExo4da4sXLx6UP1y9qWPZsmWptuXl5XbFFVfYCy+8kLa+XNknZmZ79+41Sfb000+fsK5s7ZNnn332pM+V7r4vWrTI5s6de8J9pk2bZtFo1MaPH2+1tbUnrPdUj00myHLwstzbWoKc53zIshl5DvLzhiwH82+sWTDzTJaD/bwJcp7JMlkGMuXMzPp/XhUAAAAAAACQxDmgAAAAAAAAMKAYgAIAAAAAAMCAYgAKAAAAAAAAA4oBKAAAAAAAAAwoBqAAAAAAAAAwoBiAAgAAAAAAwIBiAAoAAAAAAAADigEoAAAAAAAADCgGoDAo6urq5JzT4cOHs90VAH1AloH8QJaB/EGeAeQKBqCQN5xz2rRpU7a7AaCPyDKQH8gykD/IM4D+wAAUBkVHR0e2u9BjnZ2dZ9R2gd4gy8HdLtAbZDm42wV6izwHd7sA0jEAhQExb948LV26VMuWLdPw4cNVXV0tSdq5c6dmzJihwsJCzZ49W6+++mra/R566CFNmDBB0WhUEydO1E9/+tMebW/cuHGSpM9+9rNyzqVu92Sdzjk99NBDuuqqq1RUVKTvfe97p9xW9zTnrVu39qmWk233rrvu0rRp01RTU6MxY8aouLhYt956qxKJhO655x5VVFRoxIgRp+0j0F/IMllGfiDLZBn5gzyTZyBnGTAA5s6da8XFxbZixQrbu3evPfzwwybJKisrra6uznbv3m0XX3yxzZ49O3Wfxx57zCKRiK1fv95effVVu/feey0UCtkf/vCH025v//79Jslqa2vtnXfesf379/d4nZJsxIgRVlNTY2+88Ya99dZbp9zWs88+2y+1nGy7q1atsuLiYvvCF75gu3fvtt/+9rcWjUaturravva1r9nevXutpqbGJNnzzz/f4/0BZIosk2XkB7JMlpE/yDN5BnIVA1AYEHPnzrXp06enbne/mGzZsiW17MknnzRJ1traamZms2fPtsWLF6et5+qrr7YrrriiR9uUZI8//njasp6sU5ItW7asR9voz1pOtt1Vq1ZZYWGhNTU1pZZVV1fbuHHjLJFIpJZNnDjRVq9e3eM+A5kiy2QZ+YEsk2XkD/JMnoFcxSF4GDAXXnjhCcumTp2a+nnkyJGSpP3790uS9uzZozlz5qS1nzNnjvbs2ZNxH3q6zhkzZvR63f1Ry8m2O27cOJWUlKRul5eXa9KkSfI8L21Z97aAgUaWyTLyA1kmy8gf5Jk8A7mIASgMmKKiohOWRSKR1M/OOUmS7/uD1qcPc7K+nk5/1HK6x6h73SdbFoTHDWcGspzZdskygoYsZ7ZdsowgIs+ZbZc8A9nFABQC47zzztO2bdvSlm3btk2TJk3q0f0jkYgSiUS/rjNT2douEARkGcgPZBnIH+QZQBCEs90BoNuKFSt0zTXXaPr06aqqqtLvfvc7PfbYY9qyZUuP7j9u3Dht3bpVc+bMUSwW09ChQ/u8zmzVAuQysgzkB7IM5A/yDCAImAGFwPjMZz6jBx98UGvXrtXkyZP1yCOPqLa2VvPmzevR/e+9914988wzGj16tKZPn94v68xUtrYLBAFZBvIDWQbyB3kGEATOzCzbnQAAAAAAAED+YgYUAAAAAAAABhQDUMgJP//5z1VcXHzSr8mTJ/frtm655ZYP3dYtt9zSr9sCzjRkGcgPZBnIH+QZwGDhEDzkhObmZjU0NJz0d5FIRGPHju23be3fv19NTU0n/V1paalGjBjRb9sCzjRkGcgPZBnIH+QZwGBhAAoAAAAAAAADikPwAAAAAAAAMKAYgAIAAAAAAMCAYgAKAAAAAAAAA4oBKAAAAAAAAAwoBqAAAAAAAAAwoBiAAgAAAAAAwIBiAAoAAAAAAAADigEoAAAAAAAADKj/D98+GUnbe8oiAAAAAElFTkSuQmCC",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 1300x300 with 5 Axes>"
       ]
@@ -1213,7 +1196,7 @@
     {
      "data": {
       "text/plain": [
-       "<xarray.plot.facetgrid.FacetGrid at 0x7f5f133132f0>"
+       "<xarray.plot.facetgrid.FacetGrid at 0x7f14fafc81d0>"
       ]
      },
      "execution_count": 9,
@@ -1222,7 +1205,7 @@
     },
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 1389.12x300 with 4 Axes>"
       ]
@@ -1258,7 +1241,7 @@
     {
      "data": {
       "text/plain": [
-       "[<matplotlib.lines.Line2D at 0x7f5ecc685a30>]"
+       "[<matplotlib.lines.Line2D at 0x7f14f5c99c70>]"
       ]
      },
      "execution_count": 10,
@@ -1267,7 +1250,7 @@
     },
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -1302,7 +1285,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.0"
+   "version": "3.12.1"
   }
  },
  "nbformat": 4,
diff --git a/notebooks/xarray.ipynb b/notebooks/xarray.ipynb
index 8bb4ea8..94c65db 100644
--- a/notebooks/xarray.ipynb
+++ b/notebooks/xarray.ipynb
@@ -5,26 +5,21 @@
    "execution_count": 1,
    "id": "ceeb08fb",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'3.12.0 (main, Oct  2 2023, 00:00:00) [GCC 13.2.1 20230918 (Red Hat 13.2.1-3)]'"
-      ]
-     },
-     "execution_count": 1,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
+   "source": [
+    "from __future__ import annotations"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1b1d9fd8-166d-4967-b2ac-c3aafab97186",
+   "metadata": {},
    "source": [
-    "from __future__ import annotations\n",
+    "# *Imas2xarray*\n",
     "\n",
-    "%load_ext autoreload\n",
-    "%autoreload 2\n",
-    "import sys\n",
+    "*Imas2xarray* is a library that makes it as simple and intuitive as possible to read and write IMAS data in HDF5 format with Python. There is no need to manually define the paths or fiddle with the different dimensions and long keys. To handle large datasets, *imas2xarray* uses [xarray](https://docs.xarray.dev) to store the data in a more managable format. \n",
     "\n",
-    "sys.version"
+    "Test data are available from [here](https://github.com/duqtools/hdf5_testdata/tree/main)."
    ]
   },
   {
@@ -32,11 +27,9 @@
    "id": "e9aae684",
    "metadata": {},
    "source": [
-    "# Variables in *imas2xarray*\n",
+    "## Reading data\n",
     "\n",
-    "To work with large datasets, *imas2xarray* uses [xarray](https://docs.xarray.dev) to store the data in a more managable format. This section shows how you can get the data into `xarray`. \n",
-    "\n",
-    "To get the data, we can use `to_xarray` and pass the data path, the ids, and the names of the variables we are interested in. Note that they must all belong to the same root IDS (`core_profiles` in this case).\n",
+    "To get the data, we can use `to_xarray` and pass the data path, the ids, and the names of the variables we are interested in. Note that they must all belong to the same root IDS (`core_profiles` in this case). If you are using your own data, update the `path` variable below.\n",
     "\n",
     "Many variables are pre-defined by `imas2xarray`. These variables define the relations between the data. For more information, see the [documentation on variables](https://imas2xarray.readthedocs.io/en/latest/variables/)."
    ]
@@ -420,7 +413,7 @@
        "  * rho_tor_norm  (rho_tor_norm) float64 0.0 0.01 0.02 0.03 ... 0.98 0.99 1.0\n",
        "Data variables:\n",
        "    zeff          (time, rho_tor_norm) float64 1.761 1.761 1.761 ... 1.761 1.761\n",
-       "    t_i_ave       (time, rho_tor_norm) float64 1.036e+04 1.036e+04 ... 508.4</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-b4e2f2c3-b298-4a8e-9a14-070acd335e59' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b4e2f2c3-b298-4a8e-9a14-070acd335e59' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 1</li><li><span class='xr-has-index'>rho_tor_norm</span>: 101</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-3317f610-7f83-4c56-bc1f-4c83f3241a74' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3317f610-7f83-4c56-bc1f-4c83f3241a74' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>50.04</div><input id='attrs-c57be98f-e9e6-4410-b40d-a0fdc9e07e75' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c57be98f-e9e6-4410-b40d-a0fdc9e07e75' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-22772f8e-3770-45e1-a401-1752f351bf5c' class='xr-var-data-in' type='checkbox'><label for='data-22772f8e-3770-45e1-a401-1752f351bf5c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([50.0448])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>rho_tor_norm</span></div><div class='xr-var-dims'>(rho_tor_norm)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.01 0.02 ... 0.98 0.99 1.0</div><input id='attrs-d3074e75-9e24-431f-bdf2-658d22b9cc6a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d3074e75-9e24-431f-bdf2-658d22b9cc6a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-deba128d-cfd9-4f06-af45-ca37ecd09271' class='xr-var-data-in' type='checkbox'><label for='data-deba128d-cfd9-4f06-af45-ca37ecd09271' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.  , 0.01, 0.02, 0.03, 0.04, 0.05, 0.06, 0.07, 0.08, 0.09, 0.1 , 0.11,\n",
+       "    t_i_ave       (time, rho_tor_norm) float64 1.139e+04 1.139e+04 ... 559.2</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-68a39555-4d28-4d1e-8477-6a1f70eafae4' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-68a39555-4d28-4d1e-8477-6a1f70eafae4' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 1</li><li><span class='xr-has-index'>rho_tor_norm</span>: 101</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-de4a0d02-73d9-455d-9731-5cd3db38d9f5' class='xr-section-summary-in' type='checkbox'  checked><label for='section-de4a0d02-73d9-455d-9731-5cd3db38d9f5' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>50.04</div><input id='attrs-f0fe988b-0162-466a-bb26-d981a6385d49' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f0fe988b-0162-466a-bb26-d981a6385d49' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-80ca63ba-52cc-4995-96de-8168d4b92b0d' class='xr-var-data-in' type='checkbox'><label for='data-80ca63ba-52cc-4995-96de-8168d4b92b0d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([50.0448])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>rho_tor_norm</span></div><div class='xr-var-dims'>(rho_tor_norm)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.01 0.02 ... 0.98 0.99 1.0</div><input id='attrs-344da2fa-da77-444d-aca2-551c2d8f1daf' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-344da2fa-da77-444d-aca2-551c2d8f1daf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3ef56df6-4f08-4301-9524-816fac8690dc' class='xr-var-data-in' type='checkbox'><label for='data-3ef56df6-4f08-4301-9524-816fac8690dc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.  , 0.01, 0.02, 0.03, 0.04, 0.05, 0.06, 0.07, 0.08, 0.09, 0.1 , 0.11,\n",
        "       0.12, 0.13, 0.14, 0.15, 0.16, 0.17, 0.18, 0.19, 0.2 , 0.21, 0.22, 0.23,\n",
        "       0.24, 0.25, 0.26, 0.27, 0.28, 0.29, 0.3 , 0.31, 0.32, 0.33, 0.34, 0.35,\n",
        "       0.36, 0.37, 0.38, 0.39, 0.4 , 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47,\n",
@@ -428,7 +421,7 @@
        "       0.6 , 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7 , 0.71,\n",
        "       0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8 , 0.81, 0.82, 0.83,\n",
        "       0.84, 0.85, 0.86, 0.87, 0.88, 0.89, 0.9 , 0.91, 0.92, 0.93, 0.94, 0.95,\n",
-       "       0.96, 0.97, 0.98, 0.99, 1.  ])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7bbbb74c-7f9a-4c72-bb19-ab0b4e83a4de' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7bbbb74c-7f9a-4c72-bb19-ab0b4e83a4de' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>zeff</span></div><div class='xr-var-dims'>(time, rho_tor_norm)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.761 1.761 1.761 ... 1.761 1.761</div><input id='attrs-2fcb3770-b438-4fb8-ada0-dc1af8dc098e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2fcb3770-b438-4fb8-ada0-dc1af8dc098e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bd92d720-834a-482b-a640-54343accfa6e' class='xr-var-data-in' type='checkbox'><label for='data-bd92d720-834a-482b-a640-54343accfa6e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[1.76051571, 1.76051571, 1.76051571, 1.76051571, 1.76051571,\n",
+       "       0.96, 0.97, 0.98, 0.99, 1.  ])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-202d7b29-edfe-4eec-b2aa-40f12fb2498b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-202d7b29-edfe-4eec-b2aa-40f12fb2498b' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>zeff</span></div><div class='xr-var-dims'>(time, rho_tor_norm)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.761 1.761 1.761 ... 1.761 1.761</div><input id='attrs-2727360e-8d1e-43cc-900d-95c51f09c49a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2727360e-8d1e-43cc-900d-95c51f09c49a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-edfa4cde-83a5-44af-b62f-180f3d798b31' class='xr-var-data-in' type='checkbox'><label for='data-edfa4cde-83a5-44af-b62f-180f3d798b31' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[1.76051571, 1.76051571, 1.76051571, 1.76051571, 1.76051571,\n",
        "        1.76051571, 1.76051571, 1.76051571, 1.76051571, 1.76051571,\n",
        "        1.76051571, 1.76051571, 1.76051571, 1.76051571, 1.76051571,\n",
        "        1.76051571, 1.76051571, 1.76051571, 1.76051571, 1.76051571,\n",
@@ -448,32 +441,32 @@
        "        1.76051571, 1.76051571, 1.76051571, 1.76051571, 1.76051571,\n",
        "        1.76051571, 1.76051571, 1.76051571, 1.76051571, 1.76051571,\n",
        "        1.76051571, 1.76051571, 1.76051571, 1.76051571, 1.76051571,\n",
-       "        1.76051571]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>t_i_ave</span></div><div class='xr-var-dims'>(time, rho_tor_norm)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.036e+04 1.036e+04 ... 623.7 508.4</div><input id='attrs-8327358d-31f6-4cec-9e6a-e4f210188d32' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8327358d-31f6-4cec-9e6a-e4f210188d32' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-569c7588-ae8f-484d-b3f2-72a655f74a01' class='xr-var-data-in' type='checkbox'><label for='data-569c7588-ae8f-484d-b3f2-72a655f74a01' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[10357.61024003, 10355.68215369, 10349.85879358, 10340.08580445,\n",
-       "        10326.31481592, 10308.50374925, 10286.61710552, 10260.62623306,\n",
-       "        10230.50957199, 10196.252874  , 10157.84534764, 10115.30006157,\n",
-       "        10068.61360154, 10017.80665065,  9962.9038205 ,  9903.93773474,\n",
-       "         9840.94902992,  9773.98632047,  9703.10612751,  9628.37277092,\n",
-       "         9549.85822482,  9467.6419364 ,  9381.81060854,  9292.45794687,\n",
-       "         9199.68437195,  9103.59669768,  9004.30777718,  8901.93611739,\n",
-       "         8796.60546416,  8688.44435936,  8577.58567182,  8464.16610404,\n",
-       "         8348.32567644,  8230.20719106,  8109.95567652,  7987.71781589,\n",
-       "         7863.64135919,  7737.87452187,  7610.56537063,  7481.86119805,\n",
-       "         7351.90788697,  7220.84926642,  7088.8264605 ,  6955.97723262,\n",
-       "         6822.43532813,  6688.32981945,  6553.78445954,  6418.91705126,\n",
-       "         6283.83884254,  6148.65395993,  6013.45889608,  5878.34206943,\n",
-       "         5743.38347787,  5608.65447049,  5474.21766423,  5340.12703372,\n",
-       "         5206.42820379,  5073.15897367,  4940.35010121,  4808.02637285,\n",
-       "         4676.20798209,  4544.91223452,  4414.15559262,  4283.95606637,\n",
-       "         4154.33594777,  4025.32487681,  3896.96321196,  3769.30565913,\n",
-       "         3642.42508655,  3516.41641702,  3391.40044143,  3267.52733702,\n",
-       "         3144.97959931,  3023.97401097,  2904.76217815,  2787.62907523,\n",
-       "         2672.88896729,  2560.87804719,  2451.94315879,  2346.42611078,\n",
-       "         2244.64334879,  2146.86117117,  2053.26725462,  1963.93997644,\n",
-       "         1878.81781952,  1797.67191416,  1720.08535435,  1645.44314811,\n",
-       "         1572.93635557,  1501.58302814,  1430.26698974,  1357.79343895,\n",
-       "         1282.95808446,  1204.6244325 ,  1121.80232063,  1033.72014716,\n",
-       "          939.88362971,   840.11528715,   734.57094452,   623.73206008,\n",
-       "          508.36346033]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a213f448-f1bb-449a-bd42-83410f6a1baf' class='xr-section-summary-in' type='checkbox'  ><label for='section-a213f448-f1bb-449a-bd42-83410f6a1baf' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-3cc081b5-b07d-4d6b-8bf1-7d1971fbaf2e' class='xr-index-data-in' type='checkbox'/><label for='index-3cc081b5-b07d-4d6b-8bf1-7d1971fbaf2e' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([50.0448], dtype=&#x27;float64&#x27;, name=&#x27;time&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>rho_tor_norm</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-de4017fa-f6dd-4bf9-9939-a37bd22ab2c8' class='xr-index-data-in' type='checkbox'/><label for='index-de4017fa-f6dd-4bf9-9939-a37bd22ab2c8' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([               0.0,               0.01,               0.02,\n",
+       "        1.76051571]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>t_i_ave</span></div><div class='xr-var-dims'>(time, rho_tor_norm)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.139e+04 1.139e+04 ... 686.1 559.2</div><input id='attrs-63efa7cc-49a7-482f-bf13-4afa2a67c946' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-63efa7cc-49a7-482f-bf13-4afa2a67c946' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-29b0d83f-44be-4de4-a230-136fbaaec202' class='xr-var-data-in' type='checkbox'><label for='data-29b0d83f-44be-4de4-a230-136fbaaec202' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[11393.37126403, 11391.25036906, 11384.84467294, 11374.0943849 ,\n",
+       "        11358.94629751, 11339.35412417, 11315.27881608, 11286.68885637,\n",
+       "        11253.56052919, 11215.8781614 , 11173.6298824 , 11126.83006773,\n",
+       "        11075.4749617 , 11019.58731572, 10959.19420255, 10894.33150821,\n",
+       "        10825.04393291, 10751.38495252, 10673.41674026, 10591.21004801,\n",
+       "        10504.84404731, 10414.40613004, 10319.99166939, 10221.70374156,\n",
+       "        10119.65280914, 10013.95636745,  9904.7385549 ,  9792.12972913,\n",
+       "         9676.26601058,  9557.28879529,  9435.344239  ,  9310.58271444,\n",
+       "         9183.15824408,  9053.22791017,  8920.95124417,  8786.48959748,\n",
+       "         8650.00549511,  8511.66197405,  8371.6219077 ,  8230.04731785,\n",
+       "         8087.09867567,  7942.93419306,  7797.70910654,  7651.57495588,\n",
+       "         7504.67886094,  7357.16280139,  7209.1629055 ,  7060.80875639,\n",
+       "         6912.22272679,  6763.51935592,  6614.80478569,  6466.17627637,\n",
+       "         6317.72182565,  6169.51991754,  6021.63943065,  5874.1397371 ,\n",
+       "         5727.07102417,  5580.47487104,  5434.38511133,  5288.82901014,\n",
+       "         5143.8287803 ,  4999.40345797,  4855.57115189,  4712.351673  ,\n",
+       "         4569.76954254,  4427.85736449,  4286.65953315,  4146.23622504,\n",
+       "         4006.66759521,  3868.05805872,  3730.54048558,  3594.28007072,\n",
+       "         3459.47755924,  3326.37141207,  3195.23839596,  3066.39198275,\n",
+       "         2940.17786402,  2816.96585191,  2697.13747467,  2581.06872186,\n",
+       "         2469.10768367,  2361.54728828,  2258.59398008,  2160.33397408,\n",
+       "         2066.69960147,  1977.43910557,  1892.09388978,  1809.98746292,\n",
+       "         1730.22999112,  1651.74133096,  1573.29368871,  1493.57278285,\n",
+       "         1411.2538929 ,  1325.08687575,  1233.9825527 ,  1137.09216188,\n",
+       "         1033.87199268,   924.12681587,   808.02803897,   686.10526609,\n",
+       "          559.19980636]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-512212d2-5e36-43fc-b4d0-c84f808ad894' class='xr-section-summary-in' type='checkbox'  ><label for='section-512212d2-5e36-43fc-b4d0-c84f808ad894' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-8d76c867-bb31-42d0-8d63-44cd2ae7d086' class='xr-index-data-in' type='checkbox'/><label for='index-8d76c867-bb31-42d0-8d63-44cd2ae7d086' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([50.0448], dtype=&#x27;float64&#x27;, name=&#x27;time&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>rho_tor_norm</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-ddc58510-ad93-4915-9e0e-99f07333c72e' class='xr-index-data-in' type='checkbox'/><label for='index-ddc58510-ad93-4915-9e0e-99f07333c72e' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([               0.0,               0.01,               0.02,\n",
        "                     0.03,               0.04,               0.05,\n",
        "                     0.06,               0.07,               0.08,\n",
        "                     0.09,\n",
@@ -482,7 +475,7 @@
        "       0.9400000000000001, 0.9500000000000001,               0.96,\n",
        "                     0.97,               0.98,               0.99,\n",
        "                      1.0],\n",
-       "      dtype=&#x27;float64&#x27;, name=&#x27;rho_tor_norm&#x27;, length=101))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-dd2ae70b-98ae-4b96-a2aa-88c4caa386d2' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-dd2ae70b-98ae-4b96-a2aa-88c4caa386d2' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+       "      dtype=&#x27;float64&#x27;, name=&#x27;rho_tor_norm&#x27;, length=101))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1d4b7083-26c3-4609-ae06-f0c71aa793e9' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-1d4b7083-26c3-4609-ae06-f0c71aa793e9' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.Dataset>\n",
@@ -492,7 +485,7 @@
        "  * rho_tor_norm  (rho_tor_norm) float64 0.0 0.01 0.02 0.03 ... 0.98 0.99 1.0\n",
        "Data variables:\n",
        "    zeff          (time, rho_tor_norm) float64 1.761 1.761 1.761 ... 1.761 1.761\n",
-       "    t_i_ave       (time, rho_tor_norm) float64 1.036e+04 1.036e+04 ... 508.4"
+       "    t_i_ave       (time, rho_tor_norm) float64 1.139e+04 1.139e+04 ... 559.2"
       ]
      },
      "execution_count": 2,
@@ -505,26 +498,50 @@
     "\n",
     "variables = 'zeff', 't_i_ave', 'rho_tor_norm', 'time'\n",
     "\n",
-    "path = '/pfs/work/g2aho/public/imasdb/test/3/92436/1/'\n",
+    "path = './1/data'\n",
     "ids = 'core_profiles'\n",
     "\n",
     "ds = to_xarray(path, ids=ids, variables=variables)\n",
     "ds"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "8f8f1f05-fc5a-4635-bfc1-f2c06dcc6a6c",
+   "metadata": {},
+   "source": [
+    "## Writing data\n",
+    "\n",
+    "Write data back to hdf5 using `to_imas`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "aaaa365a-222c-4c9a-9939-448dedba437f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from imas2xarray import to_imas\n",
+    "\n",
+    "ds['t_i_ave'] *= 1.1\n",
+    "\n",
+    "to_imas(path, dataset=ds, ids=ids, variables=variables)"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "2514164c-b615-4764-8397-cf89bd5572f3",
    "metadata": {},
    "source": [
-    "## Getting all variables\n",
+    "## Loading all variables\n",
     "\n",
     "If you want to get all available pre-defined variables then you can leave out the variables."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 4,
    "id": "ec92c62e-6ce1-464a-8e2c-ee8c70784aad",
    "metadata": {},
    "outputs": [
@@ -895,25 +912,25 @@
        "  fill: currentColor;\n",
        "}\n",
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
-       "Dimensions:         (time: 1, rho_tor_norm: 101, ion: 4)\n",
+       "Dimensions:         (time: 1, ion: 4, rho_tor_norm: 101)\n",
        "Coordinates:\n",
        "  * time            (time) float64 50.04\n",
        "  * rho_tor_norm    (rho_tor_norm) float64 0.0 0.01 0.02 0.03 ... 0.98 0.99 1.0\n",
        "Dimensions without coordinates: ion\n",
        "Data variables: (12/14)\n",
-       "    j_tot           (time, rho_tor_norm) float64 -2.019e+06 ... -1.537e+05\n",
-       "    j_ohm           (time, rho_tor_norm) float64 -2.019e+06 ... -1.537e+05\n",
-       "    p_i             (time, ion, rho_tor_norm) float64 1.242e+05 ... 0.2948\n",
-       "    t_i_ave         (time, rho_tor_norm) float64 1.036e+04 1.036e+04 ... 508.4\n",
+       "    n_i_tot         (time, ion, rho_tor_norm) float64 7.486e+19 ... 3.619e+15\n",
+       "    t_e             (time, rho_tor_norm) float64 7.566e+03 7.564e+03 ... 240.3\n",
        "    n_e_tot         (time, rho_tor_norm) float64 7.976e+19 ... 1.742e+19\n",
+       "    p_i             (time, ion, rho_tor_norm) float64 1.242e+05 ... 0.2948\n",
        "    n_e             (time, rho_tor_norm) float64 7.976e+19 ... 1.742e+19\n",
+       "    j_tot           (time, rho_tor_norm) float64 -2.019e+06 ... -1.537e+05\n",
        "    ...              ...\n",
-       "    omega_tor       (time, rho_tor_norm) float64 1.169e+05 ... 1.353e+04\n",
+       "    p_e             (time, rho_tor_norm) float64 9.669e+04 9.665e+04 ... 670.6\n",
        "    n_i             (time, ion, rho_tor_norm) float64 7.486e+19 ... 3.619e+15\n",
-       "    q               (time, rho_tor_norm) float64 0.7887 0.7888 ... 4.262 4.845\n",
-       "    n_i_tot         (time, ion, rho_tor_norm) float64 7.486e+19 ... 3.619e+15\n",
+       "    zeff            (time, rho_tor_norm) float64 1.761 1.761 ... 1.761 1.761\n",
        "    collisionality  (time, rho_tor_norm) float64 23.23 7.554 ... 7.31 10.19\n",
-       "    zeff            (time, rho_tor_norm) float64 1.761 1.761 ... 1.761 1.761</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-bca8a492-f2c0-48dc-8db7-da466b717c84' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-bca8a492-f2c0-48dc-8db7-da466b717c84' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 1</li><li><span class='xr-has-index'>rho_tor_norm</span>: 101</li><li><span>ion</span>: 4</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-e3c4a406-dc59-4566-8535-5b28791b79ed' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e3c4a406-dc59-4566-8535-5b28791b79ed' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>50.04</div><input id='attrs-c8dd3160-ff57-466b-8233-8997d60d75cf' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c8dd3160-ff57-466b-8233-8997d60d75cf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5cc77f8e-4776-45da-bfce-661e8f63db75' class='xr-var-data-in' type='checkbox'><label for='data-5cc77f8e-4776-45da-bfce-661e8f63db75' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([50.0448])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>rho_tor_norm</span></div><div class='xr-var-dims'>(rho_tor_norm)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.01 0.02 ... 0.98 0.99 1.0</div><input id='attrs-8cf6504c-3bf1-4a85-a1b2-d73c459eefcf' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8cf6504c-3bf1-4a85-a1b2-d73c459eefcf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bd17830e-f7bf-48a1-8646-bfe534f9288f' class='xr-var-data-in' type='checkbox'><label for='data-bd17830e-f7bf-48a1-8646-bfe534f9288f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.  , 0.01, 0.02, 0.03, 0.04, 0.05, 0.06, 0.07, 0.08, 0.09, 0.1 , 0.11,\n",
+       "    omega_tor       (time, rho_tor_norm) float64 1.169e+05 ... 1.353e+04\n",
+       "    j_ohm           (time, rho_tor_norm) float64 -2.019e+06 ... -1.537e+05</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-9c408796-4322-4e1a-a614-6897989f051f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-9c408796-4322-4e1a-a614-6897989f051f' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 1</li><li><span>ion</span>: 4</li><li><span class='xr-has-index'>rho_tor_norm</span>: 101</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-2f4d87d9-5a95-48fa-9a44-b5224a318b12' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2f4d87d9-5a95-48fa-9a44-b5224a318b12' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>50.04</div><input id='attrs-dc458389-1a96-413f-8de1-f5f381a364e3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-dc458389-1a96-413f-8de1-f5f381a364e3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e5a191d8-01b7-4cfa-87f5-d9d2d4b3f909' class='xr-var-data-in' type='checkbox'><label for='data-e5a191d8-01b7-4cfa-87f5-d9d2d4b3f909' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([50.0448])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>rho_tor_norm</span></div><div class='xr-var-dims'>(rho_tor_norm)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.01 0.02 ... 0.98 0.99 1.0</div><input id='attrs-f9b052cd-ff30-46bb-a53f-d4550ac0febb' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f9b052cd-ff30-46bb-a53f-d4550ac0febb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ed21bcf9-ea80-474a-a496-5d4cff789d5f' class='xr-var-data-in' type='checkbox'><label for='data-ed21bcf9-ea80-474a-a496-5d4cff789d5f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.  , 0.01, 0.02, 0.03, 0.04, 0.05, 0.06, 0.07, 0.08, 0.09, 0.1 , 0.11,\n",
        "       0.12, 0.13, 0.14, 0.15, 0.16, 0.17, 0.18, 0.19, 0.2 , 0.21, 0.22, 0.23,\n",
        "       0.24, 0.25, 0.26, 0.27, 0.28, 0.29, 0.3 , 0.31, 0.32, 0.33, 0.34, 0.35,\n",
        "       0.36, 0.37, 0.38, 0.39, 0.4 , 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47,\n",
@@ -921,73 +938,97 @@
        "       0.6 , 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7 , 0.71,\n",
        "       0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8 , 0.81, 0.82, 0.83,\n",
        "       0.84, 0.85, 0.86, 0.87, 0.88, 0.89, 0.9 , 0.91, 0.92, 0.93, 0.94, 0.95,\n",
-       "       0.96, 0.97, 0.98, 0.99, 1.  ])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e7968e2e-912a-4763-97b6-8bf3672cc30b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e7968e2e-912a-4763-97b6-8bf3672cc30b' class='xr-section-summary' >Data variables: <span>(14)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>j_tot</span></div><div class='xr-var-dims'>(time, rho_tor_norm)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-2.019e+06 ... -1.537e+05</div><input id='attrs-16eaccfe-c22c-421f-80dc-b6b324a71a17' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-16eaccfe-c22c-421f-80dc-b6b324a71a17' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-13dfd148-ba32-4285-a3a0-bd6b57784344' class='xr-var-data-in' type='checkbox'><label for='data-13dfd148-ba32-4285-a3a0-bd6b57784344' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-2019051.96954526, -2018648.32968247, -2017414.5177214 ,\n",
-       "        -2015317.67907665, -2012326.99819603, -2008413.76267601,\n",
-       "        -2003551.41349206, -1997715.58121465, -1990936.29111507,\n",
-       "        -1983161.42831681, -1974369.50500683, -1964600.21412952,\n",
-       "        -1953799.31089953, -1941982.97317166, -1929133.21999987,\n",
-       "        -1915261.58234516, -1900349.58709807, -1884432.28935451,\n",
-       "        -1867497.0920943 , -1849556.04193522, -1830656.37424179,\n",
-       "        -1810802.95041136, -1790015.16944709, -1768319.73942377,\n",
-       "        -1745743.1840823 , -1722310.62236483, -1698051.45431566,\n",
-       "        -1672982.65866747, -1647127.53634204, -1620514.9772867 ,\n",
-       "        -1593180.11610037, -1565166.08334058, -1536504.27577907,\n",
-       "        -1507231.40208775, -1477382.34867425, -1446989.59703278,\n",
-       "        -1416083.58244214, -1384707.21534968, -1352915.54758089,\n",
-       "        -1320700.66217707, -1288101.83303476, -1255187.4818003 ,\n",
-       "        -1221987.13509887, -1188505.88036987, -1154796.40247519,\n",
-       "        -1120908.90636423, -1086822.09025725, -1052598.57285785,\n",
-       "        -1018278.98325106,  -983850.54752817,  -949412.23885902,\n",
-       "         -914955.32164412,  -880493.23736359,  -846130.0969997 ,\n",
-       "         -811811.36928672,  -777627.65099157,  -743629.0501914 ,\n",
-       "         -709830.58206011,  -676408.77282114,  -643354.88198478,\n",
-       "         -610775.73500084,  -578814.69394052,  -547500.49614587,\n",
-       "         -517008.15173331,  -487488.17607131,  -459051.71818985,\n",
-       "         -431916.55033503,  -406238.18912974,  -382113.33053133,\n",
-       "         -359686.42284439,  -339124.2224527 ,  -320487.76259715,\n",
-       "         -303907.64749915,  -289519.92864291,  -277475.38224707,\n",
-       "         -267812.76567806,  -260565.55075629,  -255806.88560601,\n",
-       "         -253505.95532362,  -253611.49882036,  -256017.42793828,\n",
-       "         -260554.63011589,  -266961.85318193,  -274867.83863401,\n",
-       "         -283791.11784027,  -293159.74774313,  -302344.8981309 ,\n",
-       "         -310695.63671479,  -317564.09931521,  -322318.88860617,\n",
-       "         -324353.83964212,  -323104.67057361,  -318086.30900485,\n",
-       "         -308957.2279424 ,  -295599.92764668,  -278180.58537049,\n",
-       "         -257150.24461171,  -233521.49726541,  -207925.27648293,\n",
-       "         -181172.89419728,  -153653.36360917]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>j_ohm</span></div><div class='xr-var-dims'>(time, rho_tor_norm)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-2.019e+06 ... -1.537e+05</div><input id='attrs-225bb455-b6c4-44f6-bcdf-7544b8ad6e95' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-225bb455-b6c4-44f6-bcdf-7544b8ad6e95' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1613f5c7-af41-4626-84e0-765a6250921f' class='xr-var-data-in' type='checkbox'><label for='data-1613f5c7-af41-4626-84e0-765a6250921f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-2019051.96954526, -2018648.32968247, -2017414.5177214 ,\n",
-       "        -2015317.67907665, -2012326.99819603, -2008413.76267601,\n",
-       "        -2003551.41349206, -1997715.58121465, -1990936.29111507,\n",
-       "        -1983161.42831681, -1974369.50500683, -1964600.21412952,\n",
-       "        -1953799.31089953, -1941982.97317166, -1929133.21999987,\n",
-       "        -1915261.58234516, -1900349.58709807, -1884432.28935451,\n",
-       "        -1867497.0920943 , -1849556.04193522, -1830656.37424179,\n",
-       "        -1810802.95041136, -1790015.16944709, -1768319.73942377,\n",
-       "        -1745743.1840823 , -1722310.62236483, -1698051.45431566,\n",
-       "        -1672982.65866747, -1647127.53634204, -1620514.9772867 ,\n",
-       "        -1593180.11610037, -1565166.08334058, -1536504.27577907,\n",
-       "        -1507231.40208775, -1477382.34867425, -1446989.59703278,\n",
-       "        -1416083.58244214, -1384707.21534968, -1352915.54758089,\n",
-       "        -1320700.66217707, -1288101.83303476, -1255187.4818003 ,\n",
-       "        -1221987.13509887, -1188505.88036987, -1154796.40247519,\n",
-       "        -1120908.90636423, -1086822.09025725, -1052598.57285785,\n",
-       "        -1018278.98325106,  -983850.54752817,  -949412.23885902,\n",
-       "         -914955.32164412,  -880493.23736359,  -846130.0969997 ,\n",
-       "         -811811.36928672,  -777627.65099157,  -743629.0501914 ,\n",
-       "         -709830.58206011,  -676408.77282114,  -643354.88198478,\n",
-       "         -610775.73500084,  -578814.69394052,  -547500.49614587,\n",
-       "         -517008.15173331,  -487488.17607131,  -459051.71818985,\n",
-       "         -431916.55033503,  -406238.18912974,  -382113.33053133,\n",
-       "         -359686.42284439,  -339124.2224527 ,  -320487.76259715,\n",
-       "         -303907.64749915,  -289519.92864291,  -277475.38224707,\n",
-       "         -267812.76567806,  -260565.55075629,  -255806.88560601,\n",
-       "         -253505.95532362,  -253611.49882036,  -256017.42793828,\n",
-       "         -260554.63011589,  -266961.85318193,  -274867.83863401,\n",
-       "         -283791.11784027,  -293159.74774313,  -302344.8981309 ,\n",
-       "         -310695.63671479,  -317564.09931521,  -322318.88860617,\n",
-       "         -324353.83964212,  -323104.67057361,  -318086.30900485,\n",
-       "         -308957.2279424 ,  -295599.92764668,  -278180.58537049,\n",
-       "         -257150.24461171,  -233521.49726541,  -207925.27648293,\n",
-       "         -181172.89419728,  -153653.36360917]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>p_i</span></div><div class='xr-var-dims'>(time, ion, rho_tor_norm)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.242e+05 1.242e+05 ... 0.2948</div><input id='attrs-d14369fb-21e5-4eee-8105-1ec7a1cf921d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d14369fb-21e5-4eee-8105-1ec7a1cf921d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-87bdb3e2-20d4-4555-a6ad-b02d775acdbe' class='xr-var-data-in' type='checkbox'><label for='data-87bdb3e2-20d4-4555-a6ad-b02d775acdbe' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[1.24231403e+05, 1.24197853e+05, 1.24098396e+05, 1.23934942e+05,\n",
+       "       0.96, 0.97, 0.98, 0.99, 1.  ])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4c5ff219-7c68-4925-9b84-53736234a0d7' class='xr-section-summary-in' type='checkbox'  checked><label for='section-4c5ff219-7c68-4925-9b84-53736234a0d7' class='xr-section-summary' >Data variables: <span>(14)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>n_i_tot</span></div><div class='xr-var-dims'>(time, ion, rho_tor_norm)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>7.486e+19 7.486e+19 ... 3.619e+15</div><input id='attrs-f4b46200-61d2-471d-ae1e-6805f8751986' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f4b46200-61d2-471d-ae1e-6805f8751986' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3a71f6cd-1f32-4672-b975-23bb00daa7bc' class='xr-var-data-in' type='checkbox'><label for='data-3a71f6cd-1f32-4672-b975-23bb00daa7bc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[7.48620018e+19, 7.48557190e+19, 7.48378587e+19, 7.48099275e+19,\n",
+       "         7.47734449e+19, 7.47299179e+19, 7.46808164e+19, 7.46275473e+19,\n",
+       "         7.45714311e+19, 7.45136780e+19, 7.44553672e+19, 7.43974266e+19,\n",
+       "         7.43406165e+19, 7.42855142e+19, 7.42325035e+19, 7.41820116e+19,\n",
+       "         7.41349932e+19, 7.40900674e+19, 7.40467940e+19, 7.40045347e+19,\n",
+       "         7.39624632e+19, 7.39195789e+19, 7.38747239e+19, 7.38266035e+19,\n",
+       "         7.37738088e+19, 7.37148416e+19, 7.36481421e+19, 7.35721166e+19,\n",
+       "         7.34851669e+19, 7.33857199e+19, 7.32722563e+19, 7.31433390e+19,\n",
+       "         7.29976397e+19, 7.28339629e+19, 7.26512685e+19, 7.24486900e+19,\n",
+       "         7.22255499e+19, 7.19813709e+19, 7.17158830e+19, 7.14290264e+19,\n",
+       "         7.11209489e+19, 7.07920000e+19, 7.04427195e+19, 7.00738225e+19,\n",
+       "         6.96861795e+19, 6.92807935e+19, 6.88587736e+19, 6.84213055e+19,\n",
+       "         6.79696205e+19, 6.75036519e+19, 6.70253963e+19, 6.65382848e+19,\n",
+       "         6.60424571e+19, 6.55351034e+19, 6.50172662e+19, 6.44958587e+19,\n",
+       "         6.39621964e+19, 6.34190700e+19, 6.28673077e+19, 6.23068849e+19,\n",
+       "         6.17374462e+19, 6.11581219e+19, 6.05668932e+19, 5.99631960e+19,\n",
+       "         5.93471210e+19, 5.87195675e+19, 5.80801454e+19, 5.74325913e+19,\n",
+       "         5.67784483e+19, 5.61197684e+19, 5.54542689e+19, 5.47856622e+19,\n",
+       "         5.41175380e+19, 5.34558302e+19, 5.27990018e+19, 5.21545913e+19,\n",
+       "         5.15298483e+19, 5.09262310e+19, 5.03574033e+19, 4.98456095e+19,\n",
+       "...\n",
+       "         6.61968481e+15, 6.62427201e+15, 6.62835823e+15, 6.63177569e+15,\n",
+       "         6.63435520e+15, 6.63592901e+15, 6.63633346e+15, 6.63541171e+15,\n",
+       "         6.63301630e+15, 6.62901162e+15, 6.62327606e+15, 6.61570398e+15,\n",
+       "         6.60620734e+15, 6.59471697e+15, 6.58118352e+15, 6.56557790e+15,\n",
+       "         6.54789138e+15, 6.52813521e+15, 6.50633982e+15, 6.48255356e+15,\n",
+       "         6.45684110e+15, 6.42928138e+15, 6.39996523e+15, 6.36899274e+15,\n",
+       "         6.33647035e+15, 6.30454380e+15, 6.27212393e+15, 6.23579895e+15,\n",
+       "         6.19713148e+15, 6.16208650e+15, 6.13040209e+15, 6.09238034e+15,\n",
+       "         6.06341750e+15, 6.03870964e+15, 6.01681839e+15, 5.99753417e+15,\n",
+       "         5.98084733e+15, 5.96728152e+15, 5.95896833e+15, 5.95565154e+15,\n",
+       "         5.95604845e+15, 5.95773617e+15, 5.96065292e+15, 5.95864532e+15,\n",
+       "         5.94973201e+15, 5.93203085e+15, 5.91182268e+15, 5.88705837e+15,\n",
+       "         5.85736112e+15, 5.82014210e+15, 5.78724940e+15, 5.75668889e+15,\n",
+       "         5.72893895e+15, 5.71676216e+15, 5.71330879e+15, 5.69767361e+15,\n",
+       "         5.69196165e+15, 5.71789153e+15, 5.74719472e+15, 5.77480456e+15,\n",
+       "         5.80970346e+15, 5.86314417e+15, 5.91856506e+15, 5.97951258e+15,\n",
+       "         6.03516930e+15, 6.12202010e+15, 6.20335499e+15, 6.27993505e+15,\n",
+       "         6.34992141e+15, 6.43643485e+15, 6.49543774e+15, 6.44863534e+15,\n",
+       "         6.21027728e+15, 5.68983902e+15, 4.97647036e+15, 4.18366486e+15,\n",
+       "         3.61883838e+15]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>t_e</span></div><div class='xr-var-dims'>(time, rho_tor_norm)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>7.566e+03 7.564e+03 ... 302.3 240.3</div><input id='attrs-78670354-e07c-4481-ba20-14b197d006bd' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-78670354-e07c-4481-ba20-14b197d006bd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a02df01c-eb65-4964-b819-455697241c87' class='xr-var-data-in' type='checkbox'><label for='data-a02df01c-eb65-4964-b819-455697241c87' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[7566.08957992, 7563.94423497, 7557.48958637, 7546.7067668 ,\n",
+       "        7531.58909524, 7512.14217121, 7488.38390751, 7460.3445001 ,\n",
+       "        7428.06633441, 7391.60382747, 7351.02320628, 7306.40222291,\n",
+       "        7257.82980755, 7205.40566135, 7149.23979104, 7089.45198826,\n",
+       "        7026.1712566 , 6959.53518996, 6889.68930618, 6816.7863401 ,\n",
+       "        6740.98550061, 6662.45169645, 6581.35473541, 6497.86850207,\n",
+       "        6412.17011884, 6324.4390953 , 6234.85647062, 6143.60395376,\n",
+       "        6050.86306589, 5956.81428942, 5861.63622781, 5765.50477977,\n",
+       "        5668.59233191, 5571.06697297, 5473.09173307, 5374.82385115,\n",
+       "        5276.41407356, 5178.00598692, 5079.73538806, 4981.72969438,\n",
+       "        4884.10739761, 4786.97756461, 4690.43938892, 4594.58179737,\n",
+       "        4499.48311667, 4405.21080569, 4311.82126032, 4219.35969913,\n",
+       "        4127.86014003, 4037.34548005, 3947.82769345, 3859.30816607,\n",
+       "        3771.77818745, 3685.21962523, 3599.60580959, 3514.90265677,\n",
+       "        3431.07006069, 3348.06357843, 3265.83642794, 3184.34180411,\n",
+       "        3103.53550129, 3023.37880668, 2943.8416001 , 2864.90556433,\n",
+       "        2786.56737842, 2708.8417387 , 2631.76403303, 2555.39248611,\n",
+       "        2479.8095994 , 2405.12272748, 2331.46365697, 2258.98707664,\n",
+       "        2187.86783463, 2118.29685783, 2050.47554953, 1984.60837888,\n",
+       "        1920.89323634, 1859.508969  , 1800.59936197, 1744.25274097,\n",
+       "        1690.47640147, 1639.16531051, 1590.06511358, 1542.73061461,\n",
+       "        1496.482864  , 1450.37108987, 1403.15005109, 1353.28848243,\n",
+       "        1299.02849905, 1238.51604685, 1170.01479595, 1092.19750464,\n",
+       "        1004.48124304,  907.34373451,  802.54029378,  693.14644466,\n",
+       "         583.38375236,  478.23668359,  382.9189034 ,  302.2819185 ,\n",
+       "         240.26455348]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>n_e_tot</span></div><div class='xr-var-dims'>(time, rho_tor_norm)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>7.976e+19 7.976e+19 ... 1.742e+19</div><input id='attrs-5280c60c-c3ea-4810-a724-4c5b767af394' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5280c60c-c3ea-4810-a724-4c5b767af394' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c5d6c476-cb7a-4ce2-b479-ae49e33e686a' class='xr-var-data-in' type='checkbox'><label for='data-c5d6c476-cb7a-4ce2-b479-ae49e33e686a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[7.97624504e+19, 7.97559709e+19, 7.97375870e+19, 7.97089051e+19,\n",
+       "        7.96715441e+19, 7.96271081e+19, 7.95771602e+19, 7.95231953e+19,\n",
+       "        7.94666148e+19, 7.94087020e+19, 7.93505990e+19, 7.92932862e+19,\n",
+       "        7.92375640e+19, 7.91840374e+19, 7.91331041e+19, 7.90849455e+19,\n",
+       "        7.90395224e+19, 7.89965736e+19, 7.89556188e+19, 7.89159659e+19,\n",
+       "        7.88767216e+19, 7.88368062e+19, 7.87949714e+19, 7.87498225e+19,\n",
+       "        7.86998420e+19, 7.86434167e+19, 7.85788667e+19, 7.85044756e+19,\n",
+       "        7.84185215e+19, 7.83193086e+19, 7.82051983e+19, 7.80746390e+19,\n",
+       "        7.79261952e+19, 7.77585731e+19, 7.75706445e+19, 7.73614667e+19,\n",
+       "        7.71302992e+19, 7.68766158e+19, 7.66001120e+19, 7.63007085e+19,\n",
+       "        7.59785487e+19, 7.56339924e+19, 7.52676038e+19, 7.48801356e+19,\n",
+       "        7.44725078e+19, 7.40457832e+19, 7.36011394e+19, 7.31398374e+19,\n",
+       "        7.26631881e+19, 7.21725174e+19, 7.16691301e+19, 7.11542742e+19,\n",
+       "        7.06291060e+19, 7.00946568e+19, 6.95518030e+19, 6.90012395e+19,\n",
+       "        6.84434591e+19, 6.78787371e+19, 6.73071256e+19, 6.67284556e+19,\n",
+       "        6.61423521e+19, 6.55482615e+19, 6.49454950e+19, 6.43332885e+19,\n",
+       "        6.37108798e+19, 6.30776042e+19, 6.24330049e+19, 6.17769570e+19,\n",
+       "        6.11097980e+19, 6.04324602e+19, 5.97465961e+19, 5.90546922e+19,\n",
+       "        5.83601648e+19, 5.76674383e+19, 5.69820046e+19, 5.63104665e+19,\n",
+       "        5.56605601e+19, 5.50411351e+19, 5.44620440e+19, 5.39338391e+19,\n",
+       "        5.34671126e+19, 5.30712425e+19, 5.27522741e+19, 5.25097467e+19,\n",
+       "        5.23325946e+19, 5.21949180e+19, 5.20534072e+19, 5.18490712e+19,\n",
+       "        5.15156365e+19, 5.09941670e+19, 5.02475625e+19, 4.92619954e+19,\n",
+       "        4.80217635e+19, 4.64581145e+19, 4.44024414e+19, 4.15999113e+19,\n",
+       "        3.78227010e+19, 3.30486984e+19, 2.75977113e+19, 2.21208862e+19,\n",
+       "        1.74199912e+19]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>p_i</span></div><div class='xr-var-dims'>(time, ion, rho_tor_norm)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.242e+05 1.242e+05 ... 0.2948</div><input id='attrs-8013a72e-97f9-4e82-af62-b2f4bce17fb3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8013a72e-97f9-4e82-af62-b2f4bce17fb3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-20917d7c-f588-433e-965e-da399f3c4719' class='xr-var-data-in' type='checkbox'><label for='data-20917d7c-f588-433e-965e-da399f3c4719' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[1.24231403e+05, 1.24197853e+05, 1.24098396e+05, 1.23934942e+05,\n",
        "         1.23709525e+05, 1.23424259e+05, 1.23081285e+05, 1.22682728e+05,\n",
        "         1.22230653e+05, 1.21727019e+05, 1.21173596e+05, 1.20572169e+05,\n",
        "         1.19924032e+05, 1.19230446e+05, 1.18492383e+05, 1.17710959e+05,\n",
@@ -1027,32 +1068,7 @@
        "         1.52093620e+00, 1.47283634e+00, 1.42152381e+00, 1.36615271e+00,\n",
        "         1.30524251e+00, 1.24224551e+00, 1.16744156e+00, 1.06802444e+00,\n",
        "         9.35180553e-01, 7.65859769e-01, 5.85686964e-01, 4.18085731e-01,\n",
-       "         2.94750062e-01]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>t_i_ave</span></div><div class='xr-var-dims'>(time, rho_tor_norm)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.036e+04 1.036e+04 ... 623.7 508.4</div><input id='attrs-0a6d3a06-99ec-40f7-97cf-93eeb7c6ef81' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0a6d3a06-99ec-40f7-97cf-93eeb7c6ef81' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-def20893-eeb7-4a9e-a20a-b5d8bc0dbb2b' class='xr-var-data-in' type='checkbox'><label for='data-def20893-eeb7-4a9e-a20a-b5d8bc0dbb2b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[10357.61024003, 10355.68215369, 10349.85879358, 10340.08580445,\n",
-       "        10326.31481592, 10308.50374925, 10286.61710552, 10260.62623306,\n",
-       "        10230.50957199, 10196.252874  , 10157.84534764, 10115.30006157,\n",
-       "        10068.61360154, 10017.80665065,  9962.9038205 ,  9903.93773474,\n",
-       "         9840.94902992,  9773.98632047,  9703.10612751,  9628.37277092,\n",
-       "         9549.85822482,  9467.6419364 ,  9381.81060854,  9292.45794687,\n",
-       "         9199.68437195,  9103.59669768,  9004.30777718,  8901.93611739,\n",
-       "         8796.60546416,  8688.44435936,  8577.58567182,  8464.16610404,\n",
-       "         8348.32567644,  8230.20719106,  8109.95567652,  7987.71781589,\n",
-       "         7863.64135919,  7737.87452187,  7610.56537063,  7481.86119805,\n",
-       "         7351.90788697,  7220.84926642,  7088.8264605 ,  6955.97723262,\n",
-       "         6822.43532813,  6688.32981945,  6553.78445954,  6418.91705126,\n",
-       "         6283.83884254,  6148.65395993,  6013.45889608,  5878.34206943,\n",
-       "         5743.38347787,  5608.65447049,  5474.21766423,  5340.12703372,\n",
-       "         5206.42820379,  5073.15897367,  4940.35010121,  4808.02637285,\n",
-       "         4676.20798209,  4544.91223452,  4414.15559262,  4283.95606637,\n",
-       "         4154.33594777,  4025.32487681,  3896.96321196,  3769.30565913,\n",
-       "         3642.42508655,  3516.41641702,  3391.40044143,  3267.52733702,\n",
-       "         3144.97959931,  3023.97401097,  2904.76217815,  2787.62907523,\n",
-       "         2672.88896729,  2560.87804719,  2451.94315879,  2346.42611078,\n",
-       "         2244.64334879,  2146.86117117,  2053.26725462,  1963.93997644,\n",
-       "         1878.81781952,  1797.67191416,  1720.08535435,  1645.44314811,\n",
-       "         1572.93635557,  1501.58302814,  1430.26698974,  1357.79343895,\n",
-       "         1282.95808446,  1204.6244325 ,  1121.80232063,  1033.72014716,\n",
-       "          939.88362971,   840.11528715,   734.57094452,   623.73206008,\n",
-       "          508.36346033]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>n_e_tot</span></div><div class='xr-var-dims'>(time, rho_tor_norm)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>7.976e+19 7.976e+19 ... 1.742e+19</div><input id='attrs-1b4a305c-0b84-410b-8939-79e8aeda0884' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1b4a305c-0b84-410b-8939-79e8aeda0884' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2107f413-3b25-4bea-b90f-8ca7de2699aa' class='xr-var-data-in' type='checkbox'><label for='data-2107f413-3b25-4bea-b90f-8ca7de2699aa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[7.97624504e+19, 7.97559709e+19, 7.97375870e+19, 7.97089051e+19,\n",
+       "         2.94750062e-01]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>n_e</span></div><div class='xr-var-dims'>(time, rho_tor_norm)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>7.976e+19 7.976e+19 ... 1.742e+19</div><input id='attrs-e614833c-b977-4f95-9aaa-79567b887cc4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e614833c-b977-4f95-9aaa-79567b887cc4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e763a244-cda3-4da3-83ac-155e13f7db28' class='xr-var-data-in' type='checkbox'><label for='data-e763a244-cda3-4da3-83ac-155e13f7db28' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[7.97624504e+19, 7.97559709e+19, 7.97375870e+19, 7.97089051e+19,\n",
        "        7.96715441e+19, 7.96271081e+19, 7.95771602e+19, 7.95231953e+19,\n",
        "        7.94666148e+19, 7.94087020e+19, 7.93505990e+19, 7.92932862e+19,\n",
        "        7.92375640e+19, 7.91840374e+19, 7.91331041e+19, 7.90849455e+19,\n",
@@ -1077,32 +1093,85 @@
        "        5.15156365e+19, 5.09941670e+19, 5.02475625e+19, 4.92619954e+19,\n",
        "        4.80217635e+19, 4.64581145e+19, 4.44024414e+19, 4.15999113e+19,\n",
        "        3.78227010e+19, 3.30486984e+19, 2.75977113e+19, 2.21208862e+19,\n",
-       "        1.74199912e+19]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>n_e</span></div><div class='xr-var-dims'>(time, rho_tor_norm)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>7.976e+19 7.976e+19 ... 1.742e+19</div><input id='attrs-e2d27cf6-0667-49bd-a886-032ca65ef455' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e2d27cf6-0667-49bd-a886-032ca65ef455' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-966e9ba3-effa-4298-abbb-6683ad00fda6' class='xr-var-data-in' type='checkbox'><label for='data-966e9ba3-effa-4298-abbb-6683ad00fda6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[7.97624504e+19, 7.97559709e+19, 7.97375870e+19, 7.97089051e+19,\n",
-       "        7.96715441e+19, 7.96271081e+19, 7.95771602e+19, 7.95231953e+19,\n",
-       "        7.94666148e+19, 7.94087020e+19, 7.93505990e+19, 7.92932862e+19,\n",
-       "        7.92375640e+19, 7.91840374e+19, 7.91331041e+19, 7.90849455e+19,\n",
-       "        7.90395224e+19, 7.89965736e+19, 7.89556188e+19, 7.89159659e+19,\n",
-       "        7.88767216e+19, 7.88368062e+19, 7.87949714e+19, 7.87498225e+19,\n",
-       "        7.86998420e+19, 7.86434167e+19, 7.85788667e+19, 7.85044756e+19,\n",
-       "        7.84185215e+19, 7.83193086e+19, 7.82051983e+19, 7.80746390e+19,\n",
-       "        7.79261952e+19, 7.77585731e+19, 7.75706445e+19, 7.73614667e+19,\n",
-       "        7.71302992e+19, 7.68766158e+19, 7.66001120e+19, 7.63007085e+19,\n",
-       "        7.59785487e+19, 7.56339924e+19, 7.52676038e+19, 7.48801356e+19,\n",
-       "        7.44725078e+19, 7.40457832e+19, 7.36011394e+19, 7.31398374e+19,\n",
-       "        7.26631881e+19, 7.21725174e+19, 7.16691301e+19, 7.11542742e+19,\n",
-       "        7.06291060e+19, 7.00946568e+19, 6.95518030e+19, 6.90012395e+19,\n",
-       "        6.84434591e+19, 6.78787371e+19, 6.73071256e+19, 6.67284556e+19,\n",
-       "        6.61423521e+19, 6.55482615e+19, 6.49454950e+19, 6.43332885e+19,\n",
-       "        6.37108798e+19, 6.30776042e+19, 6.24330049e+19, 6.17769570e+19,\n",
-       "        6.11097980e+19, 6.04324602e+19, 5.97465961e+19, 5.90546922e+19,\n",
-       "        5.83601648e+19, 5.76674383e+19, 5.69820046e+19, 5.63104665e+19,\n",
-       "        5.56605601e+19, 5.50411351e+19, 5.44620440e+19, 5.39338391e+19,\n",
-       "        5.34671126e+19, 5.30712425e+19, 5.27522741e+19, 5.25097467e+19,\n",
-       "        5.23325946e+19, 5.21949180e+19, 5.20534072e+19, 5.18490712e+19,\n",
-       "        5.15156365e+19, 5.09941670e+19, 5.02475625e+19, 4.92619954e+19,\n",
-       "        4.80217635e+19, 4.64581145e+19, 4.44024414e+19, 4.15999113e+19,\n",
-       "        3.78227010e+19, 3.30486984e+19, 2.75977113e+19, 2.21208862e+19,\n",
-       "        1.74199912e+19]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>p_e</span></div><div class='xr-var-dims'>(time, rho_tor_norm)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>9.669e+04 9.665e+04 ... 670.6</div><input id='attrs-730a6f51-c33d-468a-a876-57c7e9d0ccdd' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-730a6f51-c33d-468a-a876-57c7e9d0ccdd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-79c2c012-abcc-4154-a872-f4c2d6c5b178' class='xr-var-data-in' type='checkbox'><label for='data-79c2c012-abcc-4154-a872-f4c2d6c5b178' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[96689.73194196, 96654.46351369, 96549.72391013, 96377.28970906,\n",
+       "        1.74199912e+19]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>j_tot</span></div><div class='xr-var-dims'>(time, rho_tor_norm)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-2.019e+06 ... -1.537e+05</div><input id='attrs-29b2cc65-2fea-4d4f-bd06-6f1a8251d19b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-29b2cc65-2fea-4d4f-bd06-6f1a8251d19b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-614123ab-5267-4330-af00-fe661db6a5d1' class='xr-var-data-in' type='checkbox'><label for='data-614123ab-5267-4330-af00-fe661db6a5d1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-2019051.96954526, -2018648.32968247, -2017414.5177214 ,\n",
+       "        -2015317.67907665, -2012326.99819603, -2008413.76267601,\n",
+       "        -2003551.41349206, -1997715.58121465, -1990936.29111507,\n",
+       "        -1983161.42831681, -1974369.50500683, -1964600.21412952,\n",
+       "        -1953799.31089953, -1941982.97317166, -1929133.21999987,\n",
+       "        -1915261.58234516, -1900349.58709807, -1884432.28935451,\n",
+       "        -1867497.0920943 , -1849556.04193522, -1830656.37424179,\n",
+       "        -1810802.95041136, -1790015.16944709, -1768319.73942377,\n",
+       "        -1745743.1840823 , -1722310.62236483, -1698051.45431566,\n",
+       "        -1672982.65866747, -1647127.53634204, -1620514.9772867 ,\n",
+       "        -1593180.11610037, -1565166.08334058, -1536504.27577907,\n",
+       "        -1507231.40208775, -1477382.34867425, -1446989.59703278,\n",
+       "        -1416083.58244214, -1384707.21534968, -1352915.54758089,\n",
+       "        -1320700.66217707, -1288101.83303476, -1255187.4818003 ,\n",
+       "        -1221987.13509887, -1188505.88036987, -1154796.40247519,\n",
+       "        -1120908.90636423, -1086822.09025725, -1052598.57285785,\n",
+       "        -1018278.98325106,  -983850.54752817,  -949412.23885902,\n",
+       "         -914955.32164412,  -880493.23736359,  -846130.0969997 ,\n",
+       "         -811811.36928672,  -777627.65099157,  -743629.0501914 ,\n",
+       "         -709830.58206011,  -676408.77282114,  -643354.88198478,\n",
+       "         -610775.73500084,  -578814.69394052,  -547500.49614587,\n",
+       "         -517008.15173331,  -487488.17607131,  -459051.71818985,\n",
+       "         -431916.55033503,  -406238.18912974,  -382113.33053133,\n",
+       "         -359686.42284439,  -339124.2224527 ,  -320487.76259715,\n",
+       "         -303907.64749915,  -289519.92864291,  -277475.38224707,\n",
+       "         -267812.76567806,  -260565.55075629,  -255806.88560601,\n",
+       "         -253505.95532362,  -253611.49882036,  -256017.42793828,\n",
+       "         -260554.63011589,  -266961.85318193,  -274867.83863401,\n",
+       "         -283791.11784027,  -293159.74774313,  -302344.8981309 ,\n",
+       "         -310695.63671479,  -317564.09931521,  -322318.88860617,\n",
+       "         -324353.83964212,  -323104.67057361,  -318086.30900485,\n",
+       "         -308957.2279424 ,  -295599.92764668,  -278180.58537049,\n",
+       "         -257150.24461171,  -233521.49726541,  -207925.27648293,\n",
+       "         -181172.89419728,  -153653.36360917]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>q</span></div><div class='xr-var-dims'>(time, rho_tor_norm)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.7887 0.7888 0.789 ... 4.262 4.845</div><input id='attrs-04e8ed0e-b852-4a11-a604-2ff1f4639615' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-04e8ed0e-b852-4a11-a604-2ff1f4639615' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-211fe414-8828-45df-823d-6c834c249945' class='xr-var-data-in' type='checkbox'><label for='data-211fe414-8828-45df-823d-6c834c249945' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.78868826, 0.78876063, 0.7889807 , 0.78935305, 0.78988248,\n",
+       "        0.79057395, 0.79143264, 0.79246393, 0.79367345, 0.79506701,\n",
+       "        0.7966507 , 0.79843081, 0.80041391, 0.80260683, 0.80501666,\n",
+       "        0.80765081, 0.81051693, 0.81362304, 0.81697744, 0.82058879,\n",
+       "        0.82446608, 0.82861871, 0.83305642, 0.83778937, 0.84282815,\n",
+       "        0.84818379, 0.85386776, 0.85989203, 0.86626908, 0.8730119 ,\n",
+       "        0.88013405, 0.88764965, 0.89557345, 0.90392079, 0.91270771,\n",
+       "        0.92195092, 0.93166782, 0.94187661, 0.95259622, 0.9638464 ,\n",
+       "        0.97564775, 0.98802173, 1.00099069, 1.01457792, 1.02880768,\n",
+       "        1.04370518, 1.05929669, 1.07560947, 1.09267188, 1.11051333,\n",
+       "        1.12916433, 1.14865649, 1.16902253, 1.19029626, 1.21251259,\n",
+       "        1.23570749, 1.25991801, 1.28518215, 1.31153888, 1.33902805,\n",
+       "        1.3676903 , 1.39756695, 1.42869988, 1.46113138, 1.49490398,\n",
+       "        1.53006026, 1.56664259, 1.60469291, 1.64425242, 1.68536123,\n",
+       "        1.72805807, 1.77237981, 1.81836108, 1.86603379, 1.91542664,\n",
+       "        1.96656458, 2.01946826, 2.07415342, 2.13063038, 2.18890334,\n",
+       "        2.24896987, 2.31082031, 2.37443719, 2.43979479, 2.50685866,\n",
+       "        2.57558531, 2.64592191, 2.71780621, 2.7911665 , 2.86592183,\n",
+       "        2.94198231, 3.01924965, 3.09761794, 3.17697613, 3.25627145,\n",
+       "        3.33137203, 3.43093086, 3.59352713, 3.85774002, 4.26214869,\n",
+       "        4.84533233]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>t_i_ave</span></div><div class='xr-var-dims'>(time, rho_tor_norm)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.253e+04 1.253e+04 ... 754.7 615.1</div><input id='attrs-d8c1ef9d-87f3-4c99-bda1-6975edd67899' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d8c1ef9d-87f3-4c99-bda1-6975edd67899' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b190abf6-51f6-42f4-8284-d89a0a483905' class='xr-var-data-in' type='checkbox'><label for='data-b190abf6-51f6-42f4-8284-d89a0a483905' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[12532.70839044, 12530.37540596, 12523.32914023, 12511.50382339,\n",
+       "        12494.84092726, 12473.28953659, 12446.80669768, 12415.357742  ,\n",
+       "        12378.91658211, 12337.46597754, 12290.99287064, 12239.5130745 ,\n",
+       "        12183.02245787, 12121.54604729, 12055.1136228 , 11983.76465904,\n",
+       "        11907.5483262 , 11826.52344777, 11740.75841428, 11650.33105281,\n",
+       "        11555.32845204, 11455.84674304, 11351.99083633, 11243.87411571,\n",
+       "        11131.61809005, 11015.35200419, 10895.21241039, 10771.34270204,\n",
+       "        10643.89261164, 10513.01767482, 10378.8786629 , 10241.64098589,\n",
+       "        10101.47406849,  9958.55070119,  9813.04636859,  9665.13855723,\n",
+       "         9515.00604462,  9362.82817146,  9208.78409847,  9053.05204964,\n",
+       "         8895.80854323,  8737.22761237,  8577.4800172 ,  8416.73245147,\n",
+       "         8255.14674703,  8092.87908153,  7930.07919605,  7766.88963203,\n",
+       "         7603.44499947,  7439.87129152,  7276.28526425,  7112.79390401,\n",
+       "         6949.49400822,  6786.47190929,  6623.80337371,  6461.55371081,\n",
+       "         6299.77812659,  6138.52235814,  5977.82362246,  5817.71191115,\n",
+       "         5658.21165833,  5499.34380377,  5341.12826707,  5183.5868403 ,\n",
+       "         5026.7464968 ,  4870.64310094,  4715.32548647,  4560.85984754,\n",
+       "         4407.33435473,  4254.86386459,  4103.59453413,  3953.7080778 ,\n",
+       "         3805.42531517,  3659.00855328,  3514.76223556,  3373.03118102,\n",
+       "         3234.19565042,  3098.6624371 ,  2966.85122213,  2839.17559405,\n",
+       "         2716.01845204,  2597.70201711,  2484.45337809,  2376.36737149,\n",
+       "         2273.36956162,  2175.18301613,  2081.30327876,  1990.98620921,\n",
+       "         1903.25299023,  1816.91546405,  1730.62305758,  1642.93006113,\n",
+       "         1552.3792822 ,  1457.59556333,  1357.38080797,  1250.80137807,\n",
+       "         1137.25919194,  1016.53949746,   888.83084287,   754.7157927 ,\n",
+       "          615.11978699]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>p_e</span></div><div class='xr-var-dims'>(time, rho_tor_norm)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>9.669e+04 9.665e+04 ... 670.6</div><input id='attrs-acdadcfc-7ec1-4e19-bdca-9aa6f4b87a56' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-acdadcfc-7ec1-4e19-bdca-9aa6f4b87a56' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fa02c124-41b4-4e0b-a04a-66bd3f141cda' class='xr-var-data-in' type='checkbox'><label for='data-fa02c124-41b4-4e0b-a04a-66bd3f141cda' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[96689.73194196, 96654.46351369, 96549.72391013, 96377.28970906,\n",
        "        96139.14201329, 95837.42401698, 95474.39783606, 95052.40162944,\n",
        "        94573.80803133, 94040.9848799 , 93456.25916353, 92821.88501573,\n",
        "        92140.01647414, 91412.68558235, 90641.78625936, 89829.06419414,\n",
@@ -1127,125 +1196,7 @@
        "        10721.8107859 , 10118.88195904,  9419.25908116,  8620.32359818,\n",
        "         7728.41307208,  6753.73186668,  5709.31606883,  4619.8491417 ,\n",
        "         3535.22662182,  2532.25615822,  1693.12983748,  1071.33447586,\n",
-       "          670.57602866]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>t_e</span></div><div class='xr-var-dims'>(time, rho_tor_norm)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>7.566e+03 7.564e+03 ... 302.3 240.3</div><input id='attrs-326b126e-64da-4d97-bae4-9fb4585d632d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-326b126e-64da-4d97-bae4-9fb4585d632d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-878bfd7c-01c4-4a7f-bc2e-8e124ea0e7c6' class='xr-var-data-in' type='checkbox'><label for='data-878bfd7c-01c4-4a7f-bc2e-8e124ea0e7c6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[7566.08957992, 7563.94423497, 7557.48958637, 7546.7067668 ,\n",
-       "        7531.58909524, 7512.14217121, 7488.38390751, 7460.3445001 ,\n",
-       "        7428.06633441, 7391.60382747, 7351.02320628, 7306.40222291,\n",
-       "        7257.82980755, 7205.40566135, 7149.23979104, 7089.45198826,\n",
-       "        7026.1712566 , 6959.53518996, 6889.68930618, 6816.7863401 ,\n",
-       "        6740.98550061, 6662.45169645, 6581.35473541, 6497.86850207,\n",
-       "        6412.17011884, 6324.4390953 , 6234.85647062, 6143.60395376,\n",
-       "        6050.86306589, 5956.81428942, 5861.63622781, 5765.50477977,\n",
-       "        5668.59233191, 5571.06697297, 5473.09173307, 5374.82385115,\n",
-       "        5276.41407356, 5178.00598692, 5079.73538806, 4981.72969438,\n",
-       "        4884.10739761, 4786.97756461, 4690.43938892, 4594.58179737,\n",
-       "        4499.48311667, 4405.21080569, 4311.82126032, 4219.35969913,\n",
-       "        4127.86014003, 4037.34548005, 3947.82769345, 3859.30816607,\n",
-       "        3771.77818745, 3685.21962523, 3599.60580959, 3514.90265677,\n",
-       "        3431.07006069, 3348.06357843, 3265.83642794, 3184.34180411,\n",
-       "        3103.53550129, 3023.37880668, 2943.8416001 , 2864.90556433,\n",
-       "        2786.56737842, 2708.8417387 , 2631.76403303, 2555.39248611,\n",
-       "        2479.8095994 , 2405.12272748, 2331.46365697, 2258.98707664,\n",
-       "        2187.86783463, 2118.29685783, 2050.47554953, 1984.60837888,\n",
-       "        1920.89323634, 1859.508969  , 1800.59936197, 1744.25274097,\n",
-       "        1690.47640147, 1639.16531051, 1590.06511358, 1542.73061461,\n",
-       "        1496.482864  , 1450.37108987, 1403.15005109, 1353.28848243,\n",
-       "        1299.02849905, 1238.51604685, 1170.01479595, 1092.19750464,\n",
-       "        1004.48124304,  907.34373451,  802.54029378,  693.14644466,\n",
-       "         583.38375236,  478.23668359,  382.9189034 ,  302.2819185 ,\n",
-       "         240.26455348]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>omega_tor</span></div><div class='xr-var-dims'>(time, rho_tor_norm)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.169e+05 1.169e+05 ... 1.353e+04</div><input id='attrs-34fd724a-a830-4c08-a6ba-e0baddb7d2d6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-34fd724a-a830-4c08-a6ba-e0baddb7d2d6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dab8319b-2ee8-4848-a88c-b7bc249451a9' class='xr-var-data-in' type='checkbox'><label for='data-dab8319b-2ee8-4848-a88c-b7bc249451a9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[116894.6742821 , 116887.20957776, 116864.71442755,\n",
-       "        116827.03011283, 116773.98814616, 116705.41005074,\n",
-       "        116621.10720391, 116520.88074773, 116404.52156932,\n",
-       "        116271.81035338, 116122.51770899, 115956.40437263,\n",
-       "        115773.22148888, 115572.71097022, 115354.60593672,\n",
-       "        115118.63123629, 114864.50404576, 114591.9345526 ,\n",
-       "        114300.62671692, 113990.2791128 , 113660.55190087,\n",
-       "        113311.23755939, 112941.92248495, 112552.32760546,\n",
-       "        112142.13985754, 111711.04741243, 111258.74101774,\n",
-       "        110784.91539828, 110289.27071184, 109771.51405523,\n",
-       "        109231.36101589, 108668.53726378, 108082.78017812,\n",
-       "        107473.84050325, 106841.48402752, 106185.49327913,\n",
-       "        105505.66923221, 104801.83301677, 104073.8276255 ,\n",
-       "        103321.51961052, 102544.80076311, 101743.58976914,\n",
-       "        100917.83383309, 100067.51026346,  99192.62801234,\n",
-       "         98293.229162  ,  97369.39035155,  96421.22413665,\n",
-       "         95448.88027577,  94452.54693672,  93432.45181765,\n",
-       "         92388.86317786,  91322.0907748 ,  90232.48670606,\n",
-       "         89120.4461581 ,  87986.40806844,  86830.85571456,\n",
-       "         85654.31725167,  84457.36623211,  83240.62214982,\n",
-       "         82004.75106006,  80750.46631963,  79478.52946248,\n",
-       "         78189.75114892,  76884.99197304,  75565.16264404,\n",
-       "         74231.22262761,  72884.17570413,  71525.06004773,\n",
-       "         70154.92937948,  68774.82059409,  67385.70220862,\n",
-       "         65988.39736702,  64583.47541004,  63171.10771105,\n",
-       "         61750.88705127,  60321.61549376,  58881.0732863 ,\n",
-       "         57425.78990962,  55950.84642477,  54449.74367184,\n",
-       "         52914.37146245,  51335.1081628 ,  49701.06804077,\n",
-       "         48000.49819485,  46221.31424422,  44351.76458753,\n",
-       "         42381.23857346,  40301.28884892,  38107.00382078,\n",
-       "         35798.8843658 ,  33385.25817855,  30884.94183307,\n",
-       "         28329.4116578 ,  25763.4543563 ,  23243.49001843,\n",
-       "         20833.55697125,  18599.84795274,  16604.9849123 ,\n",
-       "         14902.70544398,  13532.93584759]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>n_i</span></div><div class='xr-var-dims'>(time, ion, rho_tor_norm)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>7.486e+19 7.486e+19 ... 3.619e+15</div><input id='attrs-26e3bd02-2967-4a7b-bb33-9f277f15155a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-26e3bd02-2967-4a7b-bb33-9f277f15155a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-effd4e67-668e-455a-97ef-433c4a18d2ae' class='xr-var-data-in' type='checkbox'><label for='data-effd4e67-668e-455a-97ef-433c4a18d2ae' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[7.48620018e+19, 7.48557190e+19, 7.48378587e+19, 7.48099275e+19,\n",
-       "         7.47734449e+19, 7.47299179e+19, 7.46808164e+19, 7.46275473e+19,\n",
-       "         7.45714311e+19, 7.45136780e+19, 7.44553672e+19, 7.43974266e+19,\n",
-       "         7.43406165e+19, 7.42855142e+19, 7.42325035e+19, 7.41820116e+19,\n",
-       "         7.41349932e+19, 7.40900674e+19, 7.40467940e+19, 7.40045347e+19,\n",
-       "         7.39624632e+19, 7.39195789e+19, 7.38747239e+19, 7.38266035e+19,\n",
-       "         7.37738088e+19, 7.37148416e+19, 7.36481421e+19, 7.35721166e+19,\n",
-       "         7.34851669e+19, 7.33857199e+19, 7.32722563e+19, 7.31433390e+19,\n",
-       "         7.29976397e+19, 7.28339629e+19, 7.26512685e+19, 7.24486900e+19,\n",
-       "         7.22255499e+19, 7.19813709e+19, 7.17158830e+19, 7.14290264e+19,\n",
-       "         7.11209489e+19, 7.07920000e+19, 7.04427195e+19, 7.00738225e+19,\n",
-       "         6.96861795e+19, 6.92807935e+19, 6.88587736e+19, 6.84213055e+19,\n",
-       "         6.79696205e+19, 6.75036519e+19, 6.70253963e+19, 6.65382848e+19,\n",
-       "         6.60424571e+19, 6.55351034e+19, 6.50172662e+19, 6.44958587e+19,\n",
-       "         6.39621964e+19, 6.34190700e+19, 6.28673077e+19, 6.23068849e+19,\n",
-       "         6.17374462e+19, 6.11581219e+19, 6.05668932e+19, 5.99631960e+19,\n",
-       "         5.93471210e+19, 5.87195675e+19, 5.80801454e+19, 5.74325913e+19,\n",
-       "         5.67784483e+19, 5.61197684e+19, 5.54542689e+19, 5.47856622e+19,\n",
-       "         5.41175380e+19, 5.34558302e+19, 5.27990018e+19, 5.21545913e+19,\n",
-       "         5.15298483e+19, 5.09262310e+19, 5.03574033e+19, 4.98456095e+19,\n",
-       "...\n",
-       "         6.61968481e+15, 6.62427201e+15, 6.62835823e+15, 6.63177569e+15,\n",
-       "         6.63435520e+15, 6.63592901e+15, 6.63633346e+15, 6.63541171e+15,\n",
-       "         6.63301630e+15, 6.62901162e+15, 6.62327606e+15, 6.61570398e+15,\n",
-       "         6.60620734e+15, 6.59471697e+15, 6.58118352e+15, 6.56557790e+15,\n",
-       "         6.54789138e+15, 6.52813521e+15, 6.50633982e+15, 6.48255356e+15,\n",
-       "         6.45684110e+15, 6.42928138e+15, 6.39996523e+15, 6.36899274e+15,\n",
-       "         6.33647035e+15, 6.30454380e+15, 6.27212393e+15, 6.23579895e+15,\n",
-       "         6.19713148e+15, 6.16208650e+15, 6.13040209e+15, 6.09238034e+15,\n",
-       "         6.06341750e+15, 6.03870964e+15, 6.01681839e+15, 5.99753417e+15,\n",
-       "         5.98084733e+15, 5.96728152e+15, 5.95896833e+15, 5.95565154e+15,\n",
-       "         5.95604845e+15, 5.95773617e+15, 5.96065292e+15, 5.95864532e+15,\n",
-       "         5.94973201e+15, 5.93203085e+15, 5.91182268e+15, 5.88705837e+15,\n",
-       "         5.85736112e+15, 5.82014210e+15, 5.78724940e+15, 5.75668889e+15,\n",
-       "         5.72893895e+15, 5.71676216e+15, 5.71330879e+15, 5.69767361e+15,\n",
-       "         5.69196165e+15, 5.71789153e+15, 5.74719472e+15, 5.77480456e+15,\n",
-       "         5.80970346e+15, 5.86314417e+15, 5.91856506e+15, 5.97951258e+15,\n",
-       "         6.03516930e+15, 6.12202010e+15, 6.20335499e+15, 6.27993505e+15,\n",
-       "         6.34992141e+15, 6.43643485e+15, 6.49543774e+15, 6.44863534e+15,\n",
-       "         6.21027728e+15, 5.68983902e+15, 4.97647036e+15, 4.18366486e+15,\n",
-       "         3.61883838e+15]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>q</span></div><div class='xr-var-dims'>(time, rho_tor_norm)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.7887 0.7888 0.789 ... 4.262 4.845</div><input id='attrs-cb99e603-5229-4472-9409-014fc9cdf09b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-cb99e603-5229-4472-9409-014fc9cdf09b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-157749b1-c5f1-4638-baff-8078070154b8' class='xr-var-data-in' type='checkbox'><label for='data-157749b1-c5f1-4638-baff-8078070154b8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.78868826, 0.78876063, 0.7889807 , 0.78935305, 0.78988248,\n",
-       "        0.79057395, 0.79143264, 0.79246393, 0.79367345, 0.79506701,\n",
-       "        0.7966507 , 0.79843081, 0.80041391, 0.80260683, 0.80501666,\n",
-       "        0.80765081, 0.81051693, 0.81362304, 0.81697744, 0.82058879,\n",
-       "        0.82446608, 0.82861871, 0.83305642, 0.83778937, 0.84282815,\n",
-       "        0.84818379, 0.85386776, 0.85989203, 0.86626908, 0.8730119 ,\n",
-       "        0.88013405, 0.88764965, 0.89557345, 0.90392079, 0.91270771,\n",
-       "        0.92195092, 0.93166782, 0.94187661, 0.95259622, 0.9638464 ,\n",
-       "        0.97564775, 0.98802173, 1.00099069, 1.01457792, 1.02880768,\n",
-       "        1.04370518, 1.05929669, 1.07560947, 1.09267188, 1.11051333,\n",
-       "        1.12916433, 1.14865649, 1.16902253, 1.19029626, 1.21251259,\n",
-       "        1.23570749, 1.25991801, 1.28518215, 1.31153888, 1.33902805,\n",
-       "        1.3676903 , 1.39756695, 1.42869988, 1.46113138, 1.49490398,\n",
-       "        1.53006026, 1.56664259, 1.60469291, 1.64425242, 1.68536123,\n",
-       "        1.72805807, 1.77237981, 1.81836108, 1.86603379, 1.91542664,\n",
-       "        1.96656458, 2.01946826, 2.07415342, 2.13063038, 2.18890334,\n",
-       "        2.24896987, 2.31082031, 2.37443719, 2.43979479, 2.50685866,\n",
-       "        2.57558531, 2.64592191, 2.71780621, 2.7911665 , 2.86592183,\n",
-       "        2.94198231, 3.01924965, 3.09761794, 3.17697613, 3.25627145,\n",
-       "        3.33137203, 3.43093086, 3.59352713, 3.85774002, 4.26214869,\n",
-       "        4.84533233]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>n_i_tot</span></div><div class='xr-var-dims'>(time, ion, rho_tor_norm)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>7.486e+19 7.486e+19 ... 3.619e+15</div><input id='attrs-4398e14c-4dfd-4242-b396-96149496e4ef' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4398e14c-4dfd-4242-b396-96149496e4ef' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5f37cb24-1050-410e-aa4d-3b60efa68c64' class='xr-var-data-in' type='checkbox'><label for='data-5f37cb24-1050-410e-aa4d-3b60efa68c64' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[7.48620018e+19, 7.48557190e+19, 7.48378587e+19, 7.48099275e+19,\n",
+       "          670.57602866]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>n_i</span></div><div class='xr-var-dims'>(time, ion, rho_tor_norm)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>7.486e+19 7.486e+19 ... 3.619e+15</div><input id='attrs-aec94315-2a6e-4701-97be-a2388a65b8f3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-aec94315-2a6e-4701-97be-a2388a65b8f3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9139c12e-5337-41b2-a8af-cd202a6d15a8' class='xr-var-data-in' type='checkbox'><label for='data-9139c12e-5337-41b2-a8af-cd202a6d15a8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[7.48620018e+19, 7.48557190e+19, 7.48378587e+19, 7.48099275e+19,\n",
        "         7.47734449e+19, 7.47299179e+19, 7.46808164e+19, 7.46275473e+19,\n",
        "         7.45714311e+19, 7.45136780e+19, 7.44553672e+19, 7.43974266e+19,\n",
        "         7.43406165e+19, 7.42855142e+19, 7.42325035e+19, 7.41820116e+19,\n",
@@ -1285,27 +1236,7 @@
        "         6.03516930e+15, 6.12202010e+15, 6.20335499e+15, 6.27993505e+15,\n",
        "         6.34992141e+15, 6.43643485e+15, 6.49543774e+15, 6.44863534e+15,\n",
        "         6.21027728e+15, 5.68983902e+15, 4.97647036e+15, 4.18366486e+15,\n",
-       "         3.61883838e+15]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>collisionality</span></div><div class='xr-var-dims'>(time, rho_tor_norm)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>23.23 7.554 2.675 ... 7.31 10.19</div><input id='attrs-4998748b-b98c-4a12-8a0f-602abe274f83' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4998748b-b98c-4a12-8a0f-602abe274f83' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0c0ac585-22c0-4b8d-b1e9-28b4ee92db96' class='xr-var-data-in' type='checkbox'><label for='data-0c0ac585-22c0-4b8d-b1e9-28b4ee92db96' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[23.22762184,  7.55375172,  2.67515886,  1.46038156,  0.95246265,\n",
-       "         0.68520803,  0.52475053,  0.41976862,  0.34690049,  0.29392127,\n",
-       "         0.25405548,  0.2232706 ,  0.19894521,  0.17937801,  0.16340854,\n",
-       "         0.15019706,  0.13917068,  0.12988756,  0.12202202,  0.11532232,\n",
-       "         0.10960379,  0.10470731,  0.10050709,  0.09690318,  0.09381629,\n",
-       "         0.09118402,  0.08894537,  0.08705272,  0.08547775,  0.08418226,\n",
-       "         0.08314089,  0.08233301,  0.08174376,  0.08135321,  0.08115397,\n",
-       "         0.08113084,  0.08127643,  0.08158453,  0.08204786,  0.08266288,\n",
-       "         0.08342741,  0.08434023,  0.08540054,  0.08660976,  0.08796903,\n",
-       "         0.08948301,  0.09115385,  0.09298835,  0.09499253,  0.09717506,\n",
-       "         0.09954679,  0.10211835,  0.10490259,  0.10791486,  0.1111702 ,\n",
-       "         0.11468834,  0.11849096,  0.12260184,  0.12705124,  0.13186725,\n",
-       "         0.13708305,  0.14273568,  0.14886149,  0.15550502,  0.16271442,\n",
-       "         0.17054029,  0.17904246,  0.18828013,  0.19831264,  0.20920301,\n",
-       "         0.22101593,  0.23381404,  0.24766306,  0.26263509,  0.27881058,\n",
-       "         0.29625485,  0.31501547,  0.33519632,  0.35686236,  0.38010861,\n",
-       "         0.40506997,  0.43193436,  0.46099484,  0.49266509,  0.52753041,\n",
-       "         0.56639452,  0.61037832,  0.66110138,  0.72102505,  0.79403921,\n",
-       "         0.88636348,  1.00779715,  1.17325041,  1.40437797,  1.73051751,\n",
-       "         2.18747798,  2.84366083,  3.80760323,  5.2333629 ,  7.31049017,\n",
-       "        10.19069457]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>zeff</span></div><div class='xr-var-dims'>(time, rho_tor_norm)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.761 1.761 1.761 ... 1.761 1.761</div><input id='attrs-4934c910-0579-4e71-96bb-a4e30def3e8d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4934c910-0579-4e71-96bb-a4e30def3e8d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-38a18127-a2d7-4770-a9b4-e96f15915dde' class='xr-var-data-in' type='checkbox'><label for='data-38a18127-a2d7-4770-a9b4-e96f15915dde' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[1.76051571, 1.76051571, 1.76051571, 1.76051571, 1.76051571,\n",
+       "         3.61883838e+15]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>zeff</span></div><div class='xr-var-dims'>(time, rho_tor_norm)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.761 1.761 1.761 ... 1.761 1.761</div><input id='attrs-bda06b4f-6180-4189-b969-02eee3368b2b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-bda06b4f-6180-4189-b969-02eee3368b2b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7451c3ce-91f0-40c0-8325-1a7ae0546982' class='xr-var-data-in' type='checkbox'><label for='data-7451c3ce-91f0-40c0-8325-1a7ae0546982' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[1.76051571, 1.76051571, 1.76051571, 1.76051571, 1.76051571,\n",
        "        1.76051571, 1.76051571, 1.76051571, 1.76051571, 1.76051571,\n",
        "        1.76051571, 1.76051571, 1.76051571, 1.76051571, 1.76051571,\n",
        "        1.76051571, 1.76051571, 1.76051571, 1.76051571, 1.76051571,\n",
@@ -1325,7 +1256,93 @@
        "        1.76051571, 1.76051571, 1.76051571, 1.76051571, 1.76051571,\n",
        "        1.76051571, 1.76051571, 1.76051571, 1.76051571, 1.76051571,\n",
        "        1.76051571, 1.76051571, 1.76051571, 1.76051571, 1.76051571,\n",
-       "        1.76051571]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-fba79063-ce0f-481b-a9fe-6443362dc853' class='xr-section-summary-in' type='checkbox'  ><label for='section-fba79063-ce0f-481b-a9fe-6443362dc853' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-6e6fcd74-04d1-4a0c-92a7-b9fac0493e78' class='xr-index-data-in' type='checkbox'/><label for='index-6e6fcd74-04d1-4a0c-92a7-b9fac0493e78' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([50.0448], dtype=&#x27;float64&#x27;, name=&#x27;time&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>rho_tor_norm</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-af8e713a-732a-449a-8c25-139f03b85872' class='xr-index-data-in' type='checkbox'/><label for='index-af8e713a-732a-449a-8c25-139f03b85872' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([               0.0,               0.01,               0.02,\n",
+       "        1.76051571]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>collisionality</span></div><div class='xr-var-dims'>(time, rho_tor_norm)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>23.23 7.554 2.675 ... 7.31 10.19</div><input id='attrs-5eed6670-9998-4e84-a74a-fd29ee1fc5ad' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5eed6670-9998-4e84-a74a-fd29ee1fc5ad' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-68c23f02-79f9-478c-ba3c-e12e9f710fb3' class='xr-var-data-in' type='checkbox'><label for='data-68c23f02-79f9-478c-ba3c-e12e9f710fb3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[23.22762184,  7.55375172,  2.67515886,  1.46038156,  0.95246265,\n",
+       "         0.68520803,  0.52475053,  0.41976862,  0.34690049,  0.29392127,\n",
+       "         0.25405548,  0.2232706 ,  0.19894521,  0.17937801,  0.16340854,\n",
+       "         0.15019706,  0.13917068,  0.12988756,  0.12202202,  0.11532232,\n",
+       "         0.10960379,  0.10470731,  0.10050709,  0.09690318,  0.09381629,\n",
+       "         0.09118402,  0.08894537,  0.08705272,  0.08547775,  0.08418226,\n",
+       "         0.08314089,  0.08233301,  0.08174376,  0.08135321,  0.08115397,\n",
+       "         0.08113084,  0.08127643,  0.08158453,  0.08204786,  0.08266288,\n",
+       "         0.08342741,  0.08434023,  0.08540054,  0.08660976,  0.08796903,\n",
+       "         0.08948301,  0.09115385,  0.09298835,  0.09499253,  0.09717506,\n",
+       "         0.09954679,  0.10211835,  0.10490259,  0.10791486,  0.1111702 ,\n",
+       "         0.11468834,  0.11849096,  0.12260184,  0.12705124,  0.13186725,\n",
+       "         0.13708305,  0.14273568,  0.14886149,  0.15550502,  0.16271442,\n",
+       "         0.17054029,  0.17904246,  0.18828013,  0.19831264,  0.20920301,\n",
+       "         0.22101593,  0.23381404,  0.24766306,  0.26263509,  0.27881058,\n",
+       "         0.29625485,  0.31501547,  0.33519632,  0.35686236,  0.38010861,\n",
+       "         0.40506997,  0.43193436,  0.46099484,  0.49266509,  0.52753041,\n",
+       "         0.56639452,  0.61037832,  0.66110138,  0.72102505,  0.79403921,\n",
+       "         0.88636348,  1.00779715,  1.17325041,  1.40437797,  1.73051751,\n",
+       "         2.18747798,  2.84366083,  3.80760323,  5.2333629 ,  7.31049017,\n",
+       "        10.19069457]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>omega_tor</span></div><div class='xr-var-dims'>(time, rho_tor_norm)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.169e+05 1.169e+05 ... 1.353e+04</div><input id='attrs-05904c84-0ab7-453b-998c-bfa0dd82b523' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-05904c84-0ab7-453b-998c-bfa0dd82b523' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-395cdef4-a794-464c-8d0c-043c5c9968be' class='xr-var-data-in' type='checkbox'><label for='data-395cdef4-a794-464c-8d0c-043c5c9968be' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[116894.6742821 , 116887.20957776, 116864.71442755,\n",
+       "        116827.03011283, 116773.98814616, 116705.41005074,\n",
+       "        116621.10720391, 116520.88074773, 116404.52156932,\n",
+       "        116271.81035338, 116122.51770899, 115956.40437263,\n",
+       "        115773.22148888, 115572.71097022, 115354.60593672,\n",
+       "        115118.63123629, 114864.50404576, 114591.9345526 ,\n",
+       "        114300.62671692, 113990.2791128 , 113660.55190087,\n",
+       "        113311.23755939, 112941.92248495, 112552.32760546,\n",
+       "        112142.13985754, 111711.04741243, 111258.74101774,\n",
+       "        110784.91539828, 110289.27071184, 109771.51405523,\n",
+       "        109231.36101589, 108668.53726378, 108082.78017812,\n",
+       "        107473.84050325, 106841.48402752, 106185.49327913,\n",
+       "        105505.66923221, 104801.83301677, 104073.8276255 ,\n",
+       "        103321.51961052, 102544.80076311, 101743.58976914,\n",
+       "        100917.83383309, 100067.51026346,  99192.62801234,\n",
+       "         98293.229162  ,  97369.39035155,  96421.22413665,\n",
+       "         95448.88027577,  94452.54693672,  93432.45181765,\n",
+       "         92388.86317786,  91322.0907748 ,  90232.48670606,\n",
+       "         89120.4461581 ,  87986.40806844,  86830.85571456,\n",
+       "         85654.31725167,  84457.36623211,  83240.62214982,\n",
+       "         82004.75106006,  80750.46631963,  79478.52946248,\n",
+       "         78189.75114892,  76884.99197304,  75565.16264404,\n",
+       "         74231.22262761,  72884.17570413,  71525.06004773,\n",
+       "         70154.92937948,  68774.82059409,  67385.70220862,\n",
+       "         65988.39736702,  64583.47541004,  63171.10771105,\n",
+       "         61750.88705127,  60321.61549376,  58881.0732863 ,\n",
+       "         57425.78990962,  55950.84642477,  54449.74367184,\n",
+       "         52914.37146245,  51335.1081628 ,  49701.06804077,\n",
+       "         48000.49819485,  46221.31424422,  44351.76458753,\n",
+       "         42381.23857346,  40301.28884892,  38107.00382078,\n",
+       "         35798.8843658 ,  33385.25817855,  30884.94183307,\n",
+       "         28329.4116578 ,  25763.4543563 ,  23243.49001843,\n",
+       "         20833.55697125,  18599.84795274,  16604.9849123 ,\n",
+       "         14902.70544398,  13532.93584759]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>j_ohm</span></div><div class='xr-var-dims'>(time, rho_tor_norm)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-2.019e+06 ... -1.537e+05</div><input id='attrs-81250409-ca8b-4d5b-9513-d3118543cba3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-81250409-ca8b-4d5b-9513-d3118543cba3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-51e932d0-a772-4e8a-846d-a85ccaa808fb' class='xr-var-data-in' type='checkbox'><label for='data-51e932d0-a772-4e8a-846d-a85ccaa808fb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-2019051.96954526, -2018648.32968247, -2017414.5177214 ,\n",
+       "        -2015317.67907665, -2012326.99819603, -2008413.76267601,\n",
+       "        -2003551.41349206, -1997715.58121465, -1990936.29111507,\n",
+       "        -1983161.42831681, -1974369.50500683, -1964600.21412952,\n",
+       "        -1953799.31089953, -1941982.97317166, -1929133.21999987,\n",
+       "        -1915261.58234516, -1900349.58709807, -1884432.28935451,\n",
+       "        -1867497.0920943 , -1849556.04193522, -1830656.37424179,\n",
+       "        -1810802.95041136, -1790015.16944709, -1768319.73942377,\n",
+       "        -1745743.1840823 , -1722310.62236483, -1698051.45431566,\n",
+       "        -1672982.65866747, -1647127.53634204, -1620514.9772867 ,\n",
+       "        -1593180.11610037, -1565166.08334058, -1536504.27577907,\n",
+       "        -1507231.40208775, -1477382.34867425, -1446989.59703278,\n",
+       "        -1416083.58244214, -1384707.21534968, -1352915.54758089,\n",
+       "        -1320700.66217707, -1288101.83303476, -1255187.4818003 ,\n",
+       "        -1221987.13509887, -1188505.88036987, -1154796.40247519,\n",
+       "        -1120908.90636423, -1086822.09025725, -1052598.57285785,\n",
+       "        -1018278.98325106,  -983850.54752817,  -949412.23885902,\n",
+       "         -914955.32164412,  -880493.23736359,  -846130.0969997 ,\n",
+       "         -811811.36928672,  -777627.65099157,  -743629.0501914 ,\n",
+       "         -709830.58206011,  -676408.77282114,  -643354.88198478,\n",
+       "         -610775.73500084,  -578814.69394052,  -547500.49614587,\n",
+       "         -517008.15173331,  -487488.17607131,  -459051.71818985,\n",
+       "         -431916.55033503,  -406238.18912974,  -382113.33053133,\n",
+       "         -359686.42284439,  -339124.2224527 ,  -320487.76259715,\n",
+       "         -303907.64749915,  -289519.92864291,  -277475.38224707,\n",
+       "         -267812.76567806,  -260565.55075629,  -255806.88560601,\n",
+       "         -253505.95532362,  -253611.49882036,  -256017.42793828,\n",
+       "         -260554.63011589,  -266961.85318193,  -274867.83863401,\n",
+       "         -283791.11784027,  -293159.74774313,  -302344.8981309 ,\n",
+       "         -310695.63671479,  -317564.09931521,  -322318.88860617,\n",
+       "         -324353.83964212,  -323104.67057361,  -318086.30900485,\n",
+       "         -308957.2279424 ,  -295599.92764668,  -278180.58537049,\n",
+       "         -257150.24461171,  -233521.49726541,  -207925.27648293,\n",
+       "         -181172.89419728,  -153653.36360917]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-16facf97-cd37-48fa-add4-f88ec01ff016' class='xr-section-summary-in' type='checkbox'  ><label for='section-16facf97-cd37-48fa-add4-f88ec01ff016' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-e526c1d8-bd11-46a3-81bc-04f6cc125e4f' class='xr-index-data-in' type='checkbox'/><label for='index-e526c1d8-bd11-46a3-81bc-04f6cc125e4f' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([50.0448], dtype=&#x27;float64&#x27;, name=&#x27;time&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>rho_tor_norm</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-f5cd7de0-ce89-4051-8219-a6760e821c7b' class='xr-index-data-in' type='checkbox'/><label for='index-f5cd7de0-ce89-4051-8219-a6760e821c7b' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([               0.0,               0.01,               0.02,\n",
        "                     0.03,               0.04,               0.05,\n",
        "                     0.06,               0.07,               0.08,\n",
        "                     0.09,\n",
@@ -1334,32 +1351,32 @@
        "       0.9400000000000001, 0.9500000000000001,               0.96,\n",
        "                     0.97,               0.98,               0.99,\n",
        "                      1.0],\n",
-       "      dtype=&#x27;float64&#x27;, name=&#x27;rho_tor_norm&#x27;, length=101))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5f52d47f-9a65-47aa-870b-c2a5c981ce65' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-5f52d47f-9a65-47aa-870b-c2a5c981ce65' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+       "      dtype=&#x27;float64&#x27;, name=&#x27;rho_tor_norm&#x27;, length=101))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-90cf6904-d53a-46e1-b562-5ed7c10f7b4e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-90cf6904-d53a-46e1-b562-5ed7c10f7b4e' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.Dataset>\n",
-       "Dimensions:         (time: 1, rho_tor_norm: 101, ion: 4)\n",
+       "Dimensions:         (time: 1, ion: 4, rho_tor_norm: 101)\n",
        "Coordinates:\n",
        "  * time            (time) float64 50.04\n",
        "  * rho_tor_norm    (rho_tor_norm) float64 0.0 0.01 0.02 0.03 ... 0.98 0.99 1.0\n",
        "Dimensions without coordinates: ion\n",
        "Data variables: (12/14)\n",
-       "    j_tot           (time, rho_tor_norm) float64 -2.019e+06 ... -1.537e+05\n",
-       "    j_ohm           (time, rho_tor_norm) float64 -2.019e+06 ... -1.537e+05\n",
-       "    p_i             (time, ion, rho_tor_norm) float64 1.242e+05 ... 0.2948\n",
-       "    t_i_ave         (time, rho_tor_norm) float64 1.036e+04 1.036e+04 ... 508.4\n",
+       "    n_i_tot         (time, ion, rho_tor_norm) float64 7.486e+19 ... 3.619e+15\n",
+       "    t_e             (time, rho_tor_norm) float64 7.566e+03 7.564e+03 ... 240.3\n",
        "    n_e_tot         (time, rho_tor_norm) float64 7.976e+19 ... 1.742e+19\n",
+       "    p_i             (time, ion, rho_tor_norm) float64 1.242e+05 ... 0.2948\n",
        "    n_e             (time, rho_tor_norm) float64 7.976e+19 ... 1.742e+19\n",
+       "    j_tot           (time, rho_tor_norm) float64 -2.019e+06 ... -1.537e+05\n",
        "    ...              ...\n",
-       "    omega_tor       (time, rho_tor_norm) float64 1.169e+05 ... 1.353e+04\n",
+       "    p_e             (time, rho_tor_norm) float64 9.669e+04 9.665e+04 ... 670.6\n",
        "    n_i             (time, ion, rho_tor_norm) float64 7.486e+19 ... 3.619e+15\n",
-       "    q               (time, rho_tor_norm) float64 0.7887 0.7888 ... 4.262 4.845\n",
-       "    n_i_tot         (time, ion, rho_tor_norm) float64 7.486e+19 ... 3.619e+15\n",
+       "    zeff            (time, rho_tor_norm) float64 1.761 1.761 ... 1.761 1.761\n",
        "    collisionality  (time, rho_tor_norm) float64 23.23 7.554 ... 7.31 10.19\n",
-       "    zeff            (time, rho_tor_norm) float64 1.761 1.761 ... 1.761 1.761"
+       "    omega_tor       (time, rho_tor_norm) float64 1.169e+05 ... 1.353e+04\n",
+       "    j_ohm           (time, rho_tor_norm) float64 -2.019e+06 ... -1.537e+05"
       ]
      },
-     "execution_count": 3,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1392,7 +1409,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 5,
    "id": "5df88578",
    "metadata": {},
    "outputs": [
@@ -1769,7 +1786,7 @@
        "  * rho_tor_norm  (rho_tor_norm) float64 0.0 0.01 0.02 0.03 ... 0.98 0.99 1.0\n",
        "Data variables:\n",
        "    zeff          (time, rho_tor_norm) float64 1.761 1.761 1.761 ... 1.761 1.761\n",
-       "    t_i_ave       (time, rho_tor_norm) float64 1.036e+04 1.036e+04 ... 508.4</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-104ee16e-7ea2-4737-ab92-6b7d1ff83b89' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-104ee16e-7ea2-4737-ab92-6b7d1ff83b89' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 1</li><li><span class='xr-has-index'>rho_tor_norm</span>: 101</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-0f49dd47-0170-4b2c-ab9d-3eff72385b38' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0f49dd47-0170-4b2c-ab9d-3eff72385b38' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>50.04</div><input id='attrs-9a8165eb-dea5-457f-8097-835a07d1ed1f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9a8165eb-dea5-457f-8097-835a07d1ed1f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-74e81b2d-4448-4227-9fe5-7c93c7a24a61' class='xr-var-data-in' type='checkbox'><label for='data-74e81b2d-4448-4227-9fe5-7c93c7a24a61' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([50.0448])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>rho_tor_norm</span></div><div class='xr-var-dims'>(rho_tor_norm)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.01 0.02 ... 0.98 0.99 1.0</div><input id='attrs-bccc9385-c871-40c1-a410-3f91512e52a9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-bccc9385-c871-40c1-a410-3f91512e52a9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d1e68919-7477-4ff7-becd-1916ab774b80' class='xr-var-data-in' type='checkbox'><label for='data-d1e68919-7477-4ff7-becd-1916ab774b80' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.  , 0.01, 0.02, 0.03, 0.04, 0.05, 0.06, 0.07, 0.08, 0.09, 0.1 , 0.11,\n",
+       "    t_i_ave       (time, rho_tor_norm) float64 1.253e+04 1.253e+04 ... 615.1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-10d6e71d-3bba-4841-80c2-852125a09f08' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-10d6e71d-3bba-4841-80c2-852125a09f08' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 1</li><li><span class='xr-has-index'>rho_tor_norm</span>: 101</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-5667148a-7fcb-4fa0-8d5b-ab6145e3f840' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5667148a-7fcb-4fa0-8d5b-ab6145e3f840' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>50.04</div><input id='attrs-a4b17ae5-c391-4b07-9acc-7076bf274343' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a4b17ae5-c391-4b07-9acc-7076bf274343' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f1ed079a-3f8b-4870-976a-153db0ede29d' class='xr-var-data-in' type='checkbox'><label for='data-f1ed079a-3f8b-4870-976a-153db0ede29d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([50.0448])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>rho_tor_norm</span></div><div class='xr-var-dims'>(rho_tor_norm)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.01 0.02 ... 0.98 0.99 1.0</div><input id='attrs-003d8d17-e694-4a52-98cb-31449bdaf865' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-003d8d17-e694-4a52-98cb-31449bdaf865' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e253e9ab-1aae-4b5a-bc4a-7d4a85fce51c' class='xr-var-data-in' type='checkbox'><label for='data-e253e9ab-1aae-4b5a-bc4a-7d4a85fce51c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.  , 0.01, 0.02, 0.03, 0.04, 0.05, 0.06, 0.07, 0.08, 0.09, 0.1 , 0.11,\n",
        "       0.12, 0.13, 0.14, 0.15, 0.16, 0.17, 0.18, 0.19, 0.2 , 0.21, 0.22, 0.23,\n",
        "       0.24, 0.25, 0.26, 0.27, 0.28, 0.29, 0.3 , 0.31, 0.32, 0.33, 0.34, 0.35,\n",
        "       0.36, 0.37, 0.38, 0.39, 0.4 , 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47,\n",
@@ -1777,7 +1794,7 @@
        "       0.6 , 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7 , 0.71,\n",
        "       0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8 , 0.81, 0.82, 0.83,\n",
        "       0.84, 0.85, 0.86, 0.87, 0.88, 0.89, 0.9 , 0.91, 0.92, 0.93, 0.94, 0.95,\n",
-       "       0.96, 0.97, 0.98, 0.99, 1.  ])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8811cbee-f271-4b60-9a4c-554fbcce3adc' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8811cbee-f271-4b60-9a4c-554fbcce3adc' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>zeff</span></div><div class='xr-var-dims'>(time, rho_tor_norm)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.761 1.761 1.761 ... 1.761 1.761</div><input id='attrs-b726b8fc-1461-452b-a973-55f903af045c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b726b8fc-1461-452b-a973-55f903af045c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-39056685-07b6-46d0-b072-2b4b83890b93' class='xr-var-data-in' type='checkbox'><label for='data-39056685-07b6-46d0-b072-2b4b83890b93' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[1.76051571, 1.76051571, 1.76051571, 1.76051571, 1.76051571,\n",
+       "       0.96, 0.97, 0.98, 0.99, 1.  ])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e4566fcd-0e04-4a8e-8d5b-5b587d7029d2' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e4566fcd-0e04-4a8e-8d5b-5b587d7029d2' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>zeff</span></div><div class='xr-var-dims'>(time, rho_tor_norm)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.761 1.761 1.761 ... 1.761 1.761</div><input id='attrs-20dea7c7-7dd8-45eb-b8b2-9e0758fe05c7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-20dea7c7-7dd8-45eb-b8b2-9e0758fe05c7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e689aef3-cb02-482c-ab26-cec4ab916793' class='xr-var-data-in' type='checkbox'><label for='data-e689aef3-cb02-482c-ab26-cec4ab916793' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[1.76051571, 1.76051571, 1.76051571, 1.76051571, 1.76051571,\n",
        "        1.76051571, 1.76051571, 1.76051571, 1.76051571, 1.76051571,\n",
        "        1.76051571, 1.76051571, 1.76051571, 1.76051571, 1.76051571,\n",
        "        1.76051571, 1.76051571, 1.76051571, 1.76051571, 1.76051571,\n",
@@ -1797,32 +1814,32 @@
        "        1.76051571, 1.76051571, 1.76051571, 1.76051571, 1.76051571,\n",
        "        1.76051571, 1.76051571, 1.76051571, 1.76051571, 1.76051571,\n",
        "        1.76051571, 1.76051571, 1.76051571, 1.76051571, 1.76051571,\n",
-       "        1.76051571]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>t_i_ave</span></div><div class='xr-var-dims'>(time, rho_tor_norm)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.036e+04 1.036e+04 ... 623.7 508.4</div><input id='attrs-e6a525c1-6fa8-411e-a7a1-411ef525fa65' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e6a525c1-6fa8-411e-a7a1-411ef525fa65' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-42383a5e-7050-4014-95e6-87d6f2223d30' class='xr-var-data-in' type='checkbox'><label for='data-42383a5e-7050-4014-95e6-87d6f2223d30' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[10357.61024003, 10355.68215369, 10349.85879358, 10340.08580445,\n",
-       "        10326.31481592, 10308.50374925, 10286.61710552, 10260.62623306,\n",
-       "        10230.50957199, 10196.252874  , 10157.84534764, 10115.30006157,\n",
-       "        10068.61360154, 10017.80665065,  9962.9038205 ,  9903.93773474,\n",
-       "         9840.94902992,  9773.98632047,  9703.10612751,  9628.37277092,\n",
-       "         9549.85822482,  9467.6419364 ,  9381.81060854,  9292.45794687,\n",
-       "         9199.68437195,  9103.59669768,  9004.30777718,  8901.93611739,\n",
-       "         8796.60546416,  8688.44435936,  8577.58567182,  8464.16610404,\n",
-       "         8348.32567644,  8230.20719106,  8109.95567652,  7987.71781589,\n",
-       "         7863.64135919,  7737.87452187,  7610.56537063,  7481.86119805,\n",
-       "         7351.90788697,  7220.84926642,  7088.8264605 ,  6955.97723262,\n",
-       "         6822.43532813,  6688.32981945,  6553.78445954,  6418.91705126,\n",
-       "         6283.83884254,  6148.65395993,  6013.45889608,  5878.34206943,\n",
-       "         5743.38347787,  5608.65447049,  5474.21766423,  5340.12703372,\n",
-       "         5206.42820379,  5073.15897367,  4940.35010121,  4808.02637285,\n",
-       "         4676.20798209,  4544.91223452,  4414.15559262,  4283.95606637,\n",
-       "         4154.33594777,  4025.32487681,  3896.96321196,  3769.30565913,\n",
-       "         3642.42508655,  3516.41641702,  3391.40044143,  3267.52733702,\n",
-       "         3144.97959931,  3023.97401097,  2904.76217815,  2787.62907523,\n",
-       "         2672.88896729,  2560.87804719,  2451.94315879,  2346.42611078,\n",
-       "         2244.64334879,  2146.86117117,  2053.26725462,  1963.93997644,\n",
-       "         1878.81781952,  1797.67191416,  1720.08535435,  1645.44314811,\n",
-       "         1572.93635557,  1501.58302814,  1430.26698974,  1357.79343895,\n",
-       "         1282.95808446,  1204.6244325 ,  1121.80232063,  1033.72014716,\n",
-       "          939.88362971,   840.11528715,   734.57094452,   623.73206008,\n",
-       "          508.36346033]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a02ac495-99ea-4587-9b39-1f54a5de3541' class='xr-section-summary-in' type='checkbox'  ><label for='section-a02ac495-99ea-4587-9b39-1f54a5de3541' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-c65aa3fb-0134-4e8e-80aa-b7889b62f1c2' class='xr-index-data-in' type='checkbox'/><label for='index-c65aa3fb-0134-4e8e-80aa-b7889b62f1c2' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([50.0448], dtype=&#x27;float64&#x27;, name=&#x27;time&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>rho_tor_norm</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-635f2193-548c-488c-b2ff-cb9328f8fe09' class='xr-index-data-in' type='checkbox'/><label for='index-635f2193-548c-488c-b2ff-cb9328f8fe09' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([               0.0,               0.01,               0.02,\n",
+       "        1.76051571]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>t_i_ave</span></div><div class='xr-var-dims'>(time, rho_tor_norm)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.253e+04 1.253e+04 ... 754.7 615.1</div><input id='attrs-acf3b94e-f77a-491b-a93b-9646f35e9c54' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-acf3b94e-f77a-491b-a93b-9646f35e9c54' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-369e7861-59a4-4f41-bdc3-7e0e21b23427' class='xr-var-data-in' type='checkbox'><label for='data-369e7861-59a4-4f41-bdc3-7e0e21b23427' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[12532.70839044, 12530.37540596, 12523.32914023, 12511.50382339,\n",
+       "        12494.84092726, 12473.28953659, 12446.80669768, 12415.357742  ,\n",
+       "        12378.91658211, 12337.46597754, 12290.99287064, 12239.5130745 ,\n",
+       "        12183.02245787, 12121.54604729, 12055.1136228 , 11983.76465904,\n",
+       "        11907.5483262 , 11826.52344777, 11740.75841428, 11650.33105281,\n",
+       "        11555.32845204, 11455.84674304, 11351.99083633, 11243.87411571,\n",
+       "        11131.61809005, 11015.35200419, 10895.21241039, 10771.34270204,\n",
+       "        10643.89261164, 10513.01767482, 10378.8786629 , 10241.64098589,\n",
+       "        10101.47406849,  9958.55070119,  9813.04636859,  9665.13855723,\n",
+       "         9515.00604462,  9362.82817146,  9208.78409847,  9053.05204964,\n",
+       "         8895.80854323,  8737.22761237,  8577.4800172 ,  8416.73245147,\n",
+       "         8255.14674703,  8092.87908153,  7930.07919605,  7766.88963203,\n",
+       "         7603.44499947,  7439.87129152,  7276.28526425,  7112.79390401,\n",
+       "         6949.49400822,  6786.47190929,  6623.80337371,  6461.55371081,\n",
+       "         6299.77812659,  6138.52235814,  5977.82362246,  5817.71191115,\n",
+       "         5658.21165833,  5499.34380377,  5341.12826707,  5183.5868403 ,\n",
+       "         5026.7464968 ,  4870.64310094,  4715.32548647,  4560.85984754,\n",
+       "         4407.33435473,  4254.86386459,  4103.59453413,  3953.7080778 ,\n",
+       "         3805.42531517,  3659.00855328,  3514.76223556,  3373.03118102,\n",
+       "         3234.19565042,  3098.6624371 ,  2966.85122213,  2839.17559405,\n",
+       "         2716.01845204,  2597.70201711,  2484.45337809,  2376.36737149,\n",
+       "         2273.36956162,  2175.18301613,  2081.30327876,  1990.98620921,\n",
+       "         1903.25299023,  1816.91546405,  1730.62305758,  1642.93006113,\n",
+       "         1552.3792822 ,  1457.59556333,  1357.38080797,  1250.80137807,\n",
+       "         1137.25919194,  1016.53949746,   888.83084287,   754.7157927 ,\n",
+       "          615.11978699]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-15799611-c92d-477c-8969-9f461aff0c09' class='xr-section-summary-in' type='checkbox'  ><label for='section-15799611-c92d-477c-8969-9f461aff0c09' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-84e4cd5c-5400-4684-8dcc-8662819ce1d7' class='xr-index-data-in' type='checkbox'/><label for='index-84e4cd5c-5400-4684-8dcc-8662819ce1d7' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([50.0448], dtype=&#x27;float64&#x27;, name=&#x27;time&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>rho_tor_norm</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-9f42ad50-113e-4111-bbef-dfed0b13b545' class='xr-index-data-in' type='checkbox'/><label for='index-9f42ad50-113e-4111-bbef-dfed0b13b545' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([               0.0,               0.01,               0.02,\n",
        "                     0.03,               0.04,               0.05,\n",
        "                     0.06,               0.07,               0.08,\n",
        "                     0.09,\n",
@@ -1831,7 +1848,7 @@
        "       0.9400000000000001, 0.9500000000000001,               0.96,\n",
        "                     0.97,               0.98,               0.99,\n",
        "                      1.0],\n",
-       "      dtype=&#x27;float64&#x27;, name=&#x27;rho_tor_norm&#x27;, length=101))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-50d7a18f-a452-465f-953f-ee95af7e805b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-50d7a18f-a452-465f-953f-ee95af7e805b' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+       "      dtype=&#x27;float64&#x27;, name=&#x27;rho_tor_norm&#x27;, length=101))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-73fee934-95b3-4be9-a950-4d12b11adbf0' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-73fee934-95b3-4be9-a950-4d12b11adbf0' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.Dataset>\n",
@@ -1841,10 +1858,10 @@
        "  * rho_tor_norm  (rho_tor_norm) float64 0.0 0.01 0.02 0.03 ... 0.98 0.99 1.0\n",
        "Data variables:\n",
        "    zeff          (time, rho_tor_norm) float64 1.761 1.761 1.761 ... 1.761 1.761\n",
-       "    t_i_ave       (time, rho_tor_norm) float64 1.036e+04 1.036e+04 ... 508.4"
+       "    t_i_ave       (time, rho_tor_norm) float64 1.253e+04 1.253e+04 ... 615.1"
       ]
      },
-     "execution_count": 4,
+     "execution_count": 5,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1890,7 +1907,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 6,
    "id": "b99ece57",
    "metadata": {},
    "outputs": [],
@@ -1898,9 +1915,9 @@
     "from imas2xarray import standardize_grid_and_time\n",
     "\n",
     "paths = (\n",
-    "    '/pfs/work/g2aho/public/imasdb/test/3/92436/1/',\n",
-    "    '/pfs/work/g2aho/public/imasdb/test/3/92436/2/',\n",
-    "    '/pfs/work/g2aho/public/imasdb/test/3/92436/3/',\n",
+    "    './1/data/',\n",
+    "    './2/data/',\n",
+    "    './3/data/',\n",
     ")\n",
     "\n",
     "variables = 'zeff', 't_i_ave', 'rho_tor_norm', 'time'\n",
@@ -1929,7 +1946,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 7,
    "id": "ee101b67",
    "metadata": {
     "tags": []
@@ -1960,7 +1977,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 8,
    "id": "79e6e947-9680-4c97-a638-2c26a62daf8d",
    "metadata": {},
    "outputs": [],
@@ -1987,7 +2004,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 9,
    "id": "ea5722eb",
    "metadata": {},
    "outputs": [],
@@ -2011,7 +2028,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 10,
    "id": "f51038a6",
    "metadata": {},
    "outputs": [],
@@ -2032,7 +2049,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 11,
    "id": "1c076a23",
    "metadata": {},
    "outputs": [
@@ -2410,7 +2427,7 @@
        "  * run           (run) &lt;U5 &#x27;run_0&#x27; &#x27;run_1&#x27; &#x27;run_2&#x27;\n",
        "Data variables:\n",
        "    zeff          (run, time, rho_tor_norm) float64 1.761 1.761 ... 1.761 1.761\n",
-       "    t_i_ave       (run, time, rho_tor_norm) float64 9.322e+03 9.32e+03 ... 559.2</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-15cc5a16-f10c-4e11-b80e-b6d5407f7a1e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-15cc5a16-f10c-4e11-b80e-b6d5407f7a1e' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>run</span>: 3</li><li><span class='xr-has-index'>time</span>: 1</li><li><span class='xr-has-index'>rho_tor_norm</span>: 101</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-29b08a6a-dc27-4b47-bcdc-70165d9341bc' class='xr-section-summary-in' type='checkbox'  checked><label for='section-29b08a6a-dc27-4b47-bcdc-70165d9341bc' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>50.04</div><input id='attrs-5ab3b4f3-5243-4e45-8a8e-ae7cd0711b3b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5ab3b4f3-5243-4e45-8a8e-ae7cd0711b3b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4edcf1cd-9517-4930-bc52-480b491823e8' class='xr-var-data-in' type='checkbox'><label for='data-4edcf1cd-9517-4930-bc52-480b491823e8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([50.0448])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>rho_tor_norm</span></div><div class='xr-var-dims'>(rho_tor_norm)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.01 0.02 ... 0.98 0.99 1.0</div><input id='attrs-77c06dc0-6684-46c6-919e-627af2cfc932' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-77c06dc0-6684-46c6-919e-627af2cfc932' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3e2fb2cc-0550-4fbc-9536-ae73255d2eb8' class='xr-var-data-in' type='checkbox'><label for='data-3e2fb2cc-0550-4fbc-9536-ae73255d2eb8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.  , 0.01, 0.02, 0.03, 0.04, 0.05, 0.06, 0.07, 0.08, 0.09, 0.1 , 0.11,\n",
+       "    t_i_ave       (run, time, rho_tor_norm) float64 1.253e+04 ... 782.9</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-161e3897-cd14-4f0f-8584-2e1b4cf90957' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-161e3897-cd14-4f0f-8584-2e1b4cf90957' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>run</span>: 3</li><li><span class='xr-has-index'>time</span>: 1</li><li><span class='xr-has-index'>rho_tor_norm</span>: 101</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-17376ad9-a864-4bd6-a349-0aa401b2b205' class='xr-section-summary-in' type='checkbox'  checked><label for='section-17376ad9-a864-4bd6-a349-0aa401b2b205' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>50.04</div><input id='attrs-b81059e0-25a3-4e06-87df-c5dd87a97f26' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b81059e0-25a3-4e06-87df-c5dd87a97f26' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5741cf75-6e19-4016-8f5a-579317d5c2d4' class='xr-var-data-in' type='checkbox'><label for='data-5741cf75-6e19-4016-8f5a-579317d5c2d4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([50.0448])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>rho_tor_norm</span></div><div class='xr-var-dims'>(rho_tor_norm)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.01 0.02 ... 0.98 0.99 1.0</div><input id='attrs-6b18b351-2cf9-40c3-9db3-b3f1e66c1d82' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6b18b351-2cf9-40c3-9db3-b3f1e66c1d82' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e4082ac4-cc62-4356-bcd2-09f32bbcc4e3' class='xr-var-data-in' type='checkbox'><label for='data-e4082ac4-cc62-4356-bcd2-09f32bbcc4e3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.  , 0.01, 0.02, 0.03, 0.04, 0.05, 0.06, 0.07, 0.08, 0.09, 0.1 , 0.11,\n",
        "       0.12, 0.13, 0.14, 0.15, 0.16, 0.17, 0.18, 0.19, 0.2 , 0.21, 0.22, 0.23,\n",
        "       0.24, 0.25, 0.26, 0.27, 0.28, 0.29, 0.3 , 0.31, 0.32, 0.33, 0.34, 0.35,\n",
        "       0.36, 0.37, 0.38, 0.39, 0.4 , 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47,\n",
@@ -2418,7 +2435,7 @@
        "       0.6 , 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7 , 0.71,\n",
        "       0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8 , 0.81, 0.82, 0.83,\n",
        "       0.84, 0.85, 0.86, 0.87, 0.88, 0.89, 0.9 , 0.91, 0.92, 0.93, 0.94, 0.95,\n",
-       "       0.96, 0.97, 0.98, 0.99, 1.  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>run</span></div><div class='xr-var-dims'>(run)</div><div class='xr-var-dtype'>&lt;U5</div><div class='xr-var-preview xr-preview'>&#x27;run_0&#x27; &#x27;run_1&#x27; &#x27;run_2&#x27;</div><input id='attrs-49e87f9b-7c58-4055-a7e4-c377c25073f3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-49e87f9b-7c58-4055-a7e4-c377c25073f3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eb87114b-4943-4f51-a19e-32ad080d9375' class='xr-var-data-in' type='checkbox'><label for='data-eb87114b-4943-4f51-a19e-32ad080d9375' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;run_0&#x27;, &#x27;run_1&#x27;, &#x27;run_2&#x27;], dtype=&#x27;&lt;U5&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0b33dd70-e164-4cfc-b452-331fecae86f9' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0b33dd70-e164-4cfc-b452-331fecae86f9' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>zeff</span></div><div class='xr-var-dims'>(run, time, rho_tor_norm)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.761 1.761 1.761 ... 1.761 1.761</div><input id='attrs-9199877b-f46f-4eeb-8957-b3af29aaead4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9199877b-f46f-4eeb-8957-b3af29aaead4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-247f198c-d84f-452a-afcf-5071337f83f9' class='xr-var-data-in' type='checkbox'><label for='data-247f198c-d84f-452a-afcf-5071337f83f9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[1.76051571, 1.76051571, 1.76051571, 1.76051571, 1.76051571,\n",
+       "       0.96, 0.97, 0.98, 0.99, 1.  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>run</span></div><div class='xr-var-dims'>(run)</div><div class='xr-var-dtype'>&lt;U5</div><div class='xr-var-preview xr-preview'>&#x27;run_0&#x27; &#x27;run_1&#x27; &#x27;run_2&#x27;</div><input id='attrs-aa593717-ad83-4d8a-8c84-8d5dddcd9911' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-aa593717-ad83-4d8a-8c84-8d5dddcd9911' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7d268703-4f28-4e0a-838b-f608e05d236e' class='xr-var-data-in' type='checkbox'><label for='data-7d268703-4f28-4e0a-838b-f608e05d236e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;run_0&#x27;, &#x27;run_1&#x27;, &#x27;run_2&#x27;], dtype=&#x27;&lt;U5&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-fa048bf3-a7ec-4edc-ac31-44684b817a77' class='xr-section-summary-in' type='checkbox'  checked><label for='section-fa048bf3-a7ec-4edc-ac31-44684b817a77' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>zeff</span></div><div class='xr-var-dims'>(run, time, rho_tor_norm)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.761 1.761 1.761 ... 1.761 1.761</div><input id='attrs-8d0af5cc-5c54-4936-a0b7-392e72eed468' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8d0af5cc-5c54-4936-a0b7-392e72eed468' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-312bf94f-dbb3-4c4a-96a2-5020f190a498' class='xr-var-data-in' type='checkbox'><label for='data-312bf94f-dbb3-4c4a-96a2-5020f190a498' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[1.76051571, 1.76051571, 1.76051571, 1.76051571, 1.76051571,\n",
        "         1.76051571, 1.76051571, 1.76051571, 1.76051571, 1.76051571,\n",
        "         1.76051571, 1.76051571, 1.76051571, 1.76051571, 1.76051571,\n",
        "         1.76051571, 1.76051571, 1.76051571, 1.76051571, 1.76051571,\n",
@@ -2458,47 +2475,47 @@
        "         1.76051571, 1.76051571, 1.76051571, 1.76051571, 1.76051571,\n",
        "         1.76051571, 1.76051571, 1.76051571, 1.76051571, 1.76051571,\n",
        "         1.76051571, 1.76051571, 1.76051571, 1.76051571, 1.76051571,\n",
-       "         1.76051571]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>t_i_ave</span></div><div class='xr-var-dims'>(run, time, rho_tor_norm)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>9.322e+03 9.32e+03 ... 686.1 559.2</div><input id='attrs-74a23afb-38f2-4095-9d60-f0a32995529d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-74a23afb-38f2-4095-9d60-f0a32995529d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e3ea2f0f-c084-47b9-8d78-5b0da96b50f0' class='xr-var-data-in' type='checkbox'><label for='data-e3ea2f0f-c084-47b9-8d78-5b0da96b50f0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[ 9321.84921603,  9320.11393832,  9314.87291422,  9306.07722401,\n",
-       "          9293.68333433,  9277.65337432,  9257.95539497,  9234.56360975,\n",
-       "          9207.45861479,  9176.6275866 ,  9142.06081287,  9103.77005541,\n",
-       "          9061.75224139,  9016.02598559,  8966.61343845,  8913.54396127,\n",
-       "          8856.85412692,  8796.58768842,  8732.79551475,  8665.53549383,\n",
-       "          8594.87240234,  8520.87774276,  8443.62954769,  8363.21215218,\n",
-       "          8279.71593475,  8193.23702791,  8103.87699946,  8011.74250565,\n",
-       "          7916.94491775,  7819.59992342,  7719.82710464,  7617.74949363,\n",
-       "          7513.4931088 ,  7407.18647196,  7298.96010887,  7188.9460343 ,\n",
-       "          7077.27722327,  6964.08706968,  6849.50883357,  6733.67507824,\n",
-       "          6616.71709827,  6498.76433978,  6379.94381445,  6260.37950936,\n",
-       "          6140.19179531,  6019.4968375 ,  5898.40601359,  5777.02534614,\n",
-       "          5655.45495828,  5533.78856394,  5412.11300647,  5290.50786249,\n",
-       "          5169.04513008,  5047.78902344,  4926.7958978 ,  4806.11433035,\n",
-       "          4685.78538341,  4565.8430763 ,  4446.31509108,  4327.22373557,\n",
-       "          4208.58718388,  4090.42101107,  3972.74003336,  3855.56045973,\n",
-       "          3738.90235299,  3622.79238913,  3507.26689076,  3392.37509321,\n",
-       "          3278.1825779 ,  3164.77477532,  3052.26039729,  2940.77460332,\n",
-       "          2830.48163938,  2721.57660987,  2614.28596033,  2508.8661677 ,\n",
-       "          2405.60007056,  2304.79024247,  2206.74884291,  2111.78349971,\n",
+       "         1.76051571]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>t_i_ave</span></div><div class='xr-var-dims'>(run, time, rho_tor_norm)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.253e+04 1.253e+04 ... 960.5 782.9</div><input id='attrs-a429f1a4-28e9-429f-8461-e05122507188' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a429f1a4-28e9-429f-8461-e05122507188' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1fb84057-d68c-4ae8-9452-204a03bf2ba5' class='xr-var-data-in' type='checkbox'><label for='data-1fb84057-d68c-4ae8-9452-204a03bf2ba5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[12532.70839044, 12530.37540596, 12523.32914023, 12511.50382339,\n",
+       "         12494.84092726, 12473.28953659, 12446.80669768, 12415.357742  ,\n",
+       "         12378.91658211, 12337.46597754, 12290.99287064, 12239.5130745 ,\n",
+       "         12183.02245787, 12121.54604729, 12055.1136228 , 11983.76465904,\n",
+       "         11907.5483262 , 11826.52344777, 11740.75841428, 11650.33105281,\n",
+       "         11555.32845204, 11455.84674304, 11351.99083633, 11243.87411571,\n",
+       "         11131.61809005, 11015.35200419, 10895.21241039, 10771.34270204,\n",
+       "         10643.89261164, 10513.01767482, 10378.8786629 , 10241.64098589,\n",
+       "         10101.47406849,  9958.55070119,  9813.04636859,  9665.13855723,\n",
+       "          9515.00604462,  9362.82817146,  9208.78409847,  9053.05204964,\n",
+       "          8895.80854323,  8737.22761237,  8577.4800172 ,  8416.73245147,\n",
+       "          8255.14674703,  8092.87908153,  7930.07919605,  7766.88963203,\n",
+       "          7603.44499947,  7439.87129152,  7276.28526425,  7112.79390401,\n",
+       "          6949.49400822,  6786.47190929,  6623.80337371,  6461.55371081,\n",
+       "          6299.77812659,  6138.52235814,  5977.82362246,  5817.71191115,\n",
+       "          5658.21165833,  5499.34380377,  5341.12826707,  5183.5868403 ,\n",
+       "          5026.7464968 ,  4870.64310094,  4715.32548647,  4560.85984754,\n",
+       "          4407.33435473,  4254.86386459,  4103.59453413,  3953.7080778 ,\n",
+       "          3805.42531517,  3659.00855328,  3514.76223556,  3373.03118102,\n",
+       "          3234.19565042,  3098.6624371 ,  2966.85122213,  2839.17559405,\n",
        "...\n",
-       "         10119.65280914, 10013.95636745,  9904.7385549 ,  9792.12972913,\n",
-       "          9676.26601058,  9557.28879529,  9435.344239  ,  9310.58271444,\n",
-       "          9183.15824408,  9053.22791017,  8920.95124417,  8786.48959748,\n",
-       "          8650.00549511,  8511.66197405,  8371.6219077 ,  8230.04731785,\n",
-       "          8087.09867567,  7942.93419306,  7797.70910654,  7651.57495588,\n",
-       "          7504.67886094,  7357.16280139,  7209.1629055 ,  7060.80875639,\n",
-       "          6912.22272679,  6763.51935592,  6614.80478569,  6466.17627637,\n",
-       "          6317.72182565,  6169.51991754,  6021.63943065,  5874.1397371 ,\n",
-       "          5727.07102417,  5580.47487104,  5434.38511133,  5288.82901014,\n",
-       "          5143.8287803 ,  4999.40345797,  4855.57115189,  4712.351673  ,\n",
-       "          4569.76954254,  4427.85736449,  4286.65953315,  4146.23622504,\n",
-       "          4006.66759521,  3868.05805872,  3730.54048558,  3594.28007072,\n",
-       "          3459.47755924,  3326.37141207,  3195.23839596,  3066.39198275,\n",
-       "          2940.17786402,  2816.96585191,  2697.13747467,  2581.06872186,\n",
-       "          2469.10768367,  2361.54728828,  2258.59398008,  2160.33397408,\n",
-       "          2066.69960147,  1977.43910557,  1892.09388978,  1809.98746292,\n",
-       "          1730.22999112,  1651.74133096,  1573.29368871,  1493.57278285,\n",
-       "          1411.2538929 ,  1325.08687575,  1233.9825527 ,  1137.09216188,\n",
-       "          1033.87199268,   924.12681587,   808.02803897,   686.10526609,\n",
-       "           559.19980636]]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e8dc6328-33e1-46f7-83ee-37bea6ef0a92' class='xr-section-summary-in' type='checkbox'  ><label for='section-e8dc6328-33e1-46f7-83ee-37bea6ef0a92' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-3d50980c-5b02-4452-b17d-a8a4adcf736f' class='xr-index-data-in' type='checkbox'/><label for='index-3d50980c-5b02-4452-b17d-a8a4adcf736f' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([50.0448], dtype=&#x27;float64&#x27;, name=&#x27;time&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>rho_tor_norm</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-72986c7c-f17c-459b-a862-d185111d563d' class='xr-index-data-in' type='checkbox'/><label for='index-72986c7c-f17c-459b-a862-d185111d563d' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([               0.0,               0.01,               0.02,\n",
+       "         14167.5139328 , 14019.53891443, 13866.63397685, 13708.98162078,\n",
+       "         13546.77241481, 13380.20431341, 13209.4819346 , 13034.81580022,\n",
+       "         12856.42154172, 12674.51907424, 12489.33174184, 12301.08543647,\n",
+       "         12110.00769316, 11916.32676367, 11720.27067077, 11522.06624499,\n",
+       "         11321.93814593, 11120.10787028, 10916.79274916, 10712.20493823,\n",
+       "         10506.55040532, 10300.02792195, 10092.8280677 ,  9885.13225895,\n",
+       "          9677.11181751,  9468.92709829,  9260.72669996,  9052.64678692,\n",
+       "          8844.81055591,  8637.32788455,  8430.29520291,  8223.79563193,\n",
+       "          8017.89943384,  7812.66481945,  7608.13915586,  7404.36061419,\n",
+       "          7201.36029241,  6999.16484116,  6797.79961264,  6597.2923422 ,\n",
+       "          6397.67735956,  6199.00031029,  6001.32334641,  5804.73071505,\n",
+       "          5609.33463329,  5415.28128221,  5222.75667981,  5031.99209901,\n",
+       "          4843.26858294,  4656.9199769 ,  4473.33375434,  4292.94877585,\n",
+       "          4116.24900963,  3943.75219268,  3775.99246453,  3613.49621061,\n",
+       "          3456.75075714,  3306.16620359,  3162.03157211,  3024.46756372,\n",
+       "          2893.37944206,  2768.4147478 ,  2648.9314457 ,  2533.98244809,\n",
+       "          2422.32198757,  2312.43786334,  2202.6111642 ,  2091.00189598,\n",
+       "          1975.75545007,  1855.12162605,  1727.57557377,  1591.92902663,\n",
+       "          1447.42078975,  1293.77754222,  1131.23925456,   960.54737252,\n",
+       "           782.8797289 ]]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ef7a5af9-b857-41a4-bb96-83cdd2020b1a' class='xr-section-summary-in' type='checkbox'  ><label for='section-ef7a5af9-b857-41a4-bb96-83cdd2020b1a' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-9193cef5-ac6b-4a46-a2aa-063d2847152c' class='xr-index-data-in' type='checkbox'/><label for='index-9193cef5-ac6b-4a46-a2aa-063d2847152c' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([50.0448], dtype=&#x27;float64&#x27;, name=&#x27;time&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>rho_tor_norm</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-fce9119e-913f-47be-bdaf-7da072200e90' class='xr-index-data-in' type='checkbox'/><label for='index-fce9119e-913f-47be-bdaf-7da072200e90' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([               0.0,               0.01,               0.02,\n",
        "                     0.03,               0.04,               0.05,\n",
        "                     0.06,               0.07,               0.08,\n",
        "                     0.09,\n",
@@ -2507,7 +2524,7 @@
        "       0.9400000000000001, 0.9500000000000001,               0.96,\n",
        "                     0.97,               0.98,               0.99,\n",
        "                      1.0],\n",
-       "      dtype=&#x27;float64&#x27;, name=&#x27;rho_tor_norm&#x27;, length=101))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>run</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-c22bae4d-17b4-4a44-af66-e008f9f0173b' class='xr-index-data-in' type='checkbox'/><label for='index-c22bae4d-17b4-4a44-af66-e008f9f0173b' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;run_0&#x27;, &#x27;run_1&#x27;, &#x27;run_2&#x27;], dtype=&#x27;object&#x27;, name=&#x27;run&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5670101d-bb03-4769-ab7d-314fc11d7a1f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-5670101d-bb03-4769-ab7d-314fc11d7a1f' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+       "      dtype=&#x27;float64&#x27;, name=&#x27;rho_tor_norm&#x27;, length=101))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>run</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-dcfb02bf-4451-4674-845a-7b5c166bd17e' class='xr-index-data-in' type='checkbox'/><label for='index-dcfb02bf-4451-4674-845a-7b5c166bd17e' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;run_0&#x27;, &#x27;run_1&#x27;, &#x27;run_2&#x27;], dtype=&#x27;object&#x27;, name=&#x27;run&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-76f7cd46-f353-4862-8be7-7b5f95211e66' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-76f7cd46-f353-4862-8be7-7b5f95211e66' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.Dataset>\n",
@@ -2518,10 +2535,10 @@
        "  * run           (run) <U5 'run_0' 'run_1' 'run_2'\n",
        "Data variables:\n",
        "    zeff          (run, time, rho_tor_norm) float64 1.761 1.761 ... 1.761 1.761\n",
-       "    t_i_ave       (run, time, rho_tor_norm) float64 9.322e+03 9.32e+03 ... 559.2"
+       "    t_i_ave       (run, time, rho_tor_norm) float64 1.253e+04 ... 782.9"
       ]
      },
-     "execution_count": 10,
+     "execution_count": 11,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2544,23 +2561,23 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 12,
    "id": "a2ff7328",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<xarray.plot.facetgrid.FacetGrid at 0x7f43f432ffb0>"
+       "<xarray.plot.facetgrid.FacetGrid at 0x7fa4b1d4a3f0>"
       ]
      },
-     "execution_count": 11,
+     "execution_count": 12,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAagAAAEiCAYAAACsmUZ+AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8g+/7EAAAACXBIWXMAAA9hAAAPYQGoP6dpAABoWklEQVR4nO3dd3gUxRvA8e/sXklvQBICIUR672CQEiUSEBEURQQBAVEUVEBFUcAuiKKiotgoKoroDyyIFCkWQFCKdESkKYTQkhAgyd3t/P44chIpQggkgffzPPcktzu7O5PL3XszO0VprTVCCCFEEWMUdgaEEEKIU5EAJYQQokiSACWEEKJIkgAlhBCiSJIAJYQQokiSACWEEKJIkgAlhBCiSJIAJYQQokiSACWEEKJIkgAlioRFixahlCItLa2wsyKEKCIkQImLLjExkYEDB+bZ1rRpU/bs2UNoaGjhZOo8JCYmopTK8+jXr1+eNDt37qRdu3YEBAQQGRnJww8/jNvtPuN5Dx48SLdu3QgJCSEsLIw+ffqQmZl5yrR//PEHwcHBhIWFFVSxhCh0tsLOgBAADoeD6Ojows5GvvXt25enn37a9zwgIMD3u8fjoV27dkRHR7NkyRL27NlDjx49sNvtPP/886c9Z7du3dizZw/z5s3D5XLRq1cv7rrrLj7++OM86VwuF7fddhvNmzdnyZIlBV84IQqLFuIi6tmzpwbyPLZt26YXLlyoAX3o0CGttdYTJ07UoaGh+uuvv9aVK1fW/v7+ulOnTvrIkSN60qRJOi4uToeFhen77rtPu91u3/mzsrL0gw8+qGNiYnRAQIBu3LixXrhw4QUtU8uWLfUDDzxw2v2zZs3ShmHolJQU37a33npLh4SE6Ozs7FMes2HDBg3oX375xbft22+/1Uop/ffff+dJO2TIEH377bf7/mZCXCqkiU9cVGPHjiUhIYG+ffuyZ88e9uzZQ2xs7CnTHj16lNdee42pU6cye/ZsFi1axI033sisWbOYNWsWH374IW+//Taff/6575gBAwawdOlSpk6dypo1a7jlllto06YNW7ZsOW2e2rZtS1BQ0GkfNWrU+M9yTZkyhZIlS1KzZk2GDh3K0aNHffuWLl1KrVq1iIqK8m1LTk4mIyOD9evXn/J8S5cuJSwsjIYNG/q2JSUlYRgGy5Yt821bsGABn332GePGjfvPPApR3EgTn7ioQkNDcTgcBAQE/GeTnsvl4q233qJChQoA3HzzzXz44Yfs3buXoKAgqlevztVXX83ChQu59dZb2blzJxMnTmTnzp3ExMQA8NBDDzF79mwmTpx42ua09957j2PHjp02H3a7/Yz57Nq1K3FxccTExLBmzRoeeeQRNm/ezPTp0wFISUnJE5wA3/OUlJRTnjMlJYXIyMg822w2GxEREb5jDhw4wB133MFHH31ESEjIGfMoRHEkAUoUWQEBAb7gBN4P9fLlyxMUFJRnW2pqKgBr167F4/FQuXLlPOfJzs6mRIkSp71OmTJlziufd911l+/3WrVqUbp0aVq1asXWrVvz5L+g9e3bl65du9KiRYsLdg0hCpMEKFFk/bvmopQ65TbLsgDIzMzENE1WrFiBaZp50p0Y1P6tbdu2/Pjjj6fdHxcXd9qmuFNp0qQJ4O1ZV6FCBaKjo1m+fHmeNHv37gU4bS0yOjraF3hzud1uDh486DtmwYIFfPXVV7z00ksAaK2xLAubzcY777xD7969zzrPQhRFEqDERedwOPB4PAV+3nr16uHxeEhNTaV58+Znfdz5NvH92+rVqwEoXbo0AAkJCTz33HOkpqb6mu3mzZtHSEgI1atXP+U5EhISSEtLY8WKFTRo0ADwBiTLsnwBcOnSpXn+jl9++SUvvPACS5YsOe9aoRBFgQQocdGVL1+eZcuWsX37doKCgoiIiCiQ81auXJlu3brRo0cPxowZQ7169di3bx/z58+ndu3atGvX7pTHnc+H+datW/n444+57rrrKFGiBGvWrGHQoEG0aNGC2rVrA9C6dWuqV69O9+7dGT16NCkpKQwbNoz+/fvjdDoBWL58OT169GD+/PmUKVOGatWq0aZNG/r27cv48eNxuVwMGDCALl26+O6vVatWLU9efv31VwzDoGbNmvkujxBFifTiExfdQw89hGmaVK9enVKlSrFz584CO/fEiRPp0aMHDz74IFWqVKFjx4788ssvlCtXrsCucSKHw8F3331H69atqVq1Kg8++CCdOnXi66+/9qUxTZOZM2dimiYJCQncfvvt9OjRI8+4qaNHj7J582ZcLpdv25QpU6hatSqtWrXiuuuuo1mzZrzzzjsXpBxCFEVKa60LOxNCCCHEv0kNSgghRJEkAUoIIUSRJAFKCCFEkSQBSgghRJEkAUoIIUSRJAFKCCFEkSQDdQuIZVns3r2b4OBglFKFnR0hxFnQWnP48GFiYmIwjHP7vp6VlUVOTs5ZpXU4HPj5+eUni5c1CVAFZPfu3addNkIIUbTt2rWLsmXLnnX6rKws4uOCSEk9uym7QkJCKF26NIZh0L9/f/r375/frF5WJEAVkODgYMD7jy5LHwhRPGRkZBAbG+t7/56tnJwcUlI97FhRnpDgM9e8Mg5bxDXYLp8N+SABqoDkNuuFhITIP6EQxUx+m+VDgg1Cgs3/TijyRTpJCCGEKJIkQAkhhCiSJEAJIYQokiRACSGEKJKkk0Qh0NoDKMCD9zuCPv4wUUq+MwghBEgNqnBkzfL+zP4R9FHw7ATPbsCDdm1Ba+v4wzvGQpbsEkJcjiRAXWQ6ZwV4toN1CH3sS5QRjE4fhrLFodMfAbMUZM+BrJmgj2BlvgNYaPdOtCftn/PosxsgKIQQxZUEqIvNjENrNxhBYBwfHGiU8v60MlFGGDp7ETjqw9GpKFs5cP+OzhyHMsOwMl5Eu7cDLrR7F1q7fQ8hhLiUSIC62IwwVNC9gEKFDEfrLFToSLR1GBU2Cu3ZjwrsDzoHHI2BALDSUPZqaPefYO1G2cqjD/YEZQf3dvSxaYBVyAUTQoiCJZ0kLjKlbJz0Zz8+iF1rC5QHCEUpu68ZTykTbYSBWQ7stY6nC0SZ0ViHbkSFvwOuVVjHvkaFjABsKGWgtQelZJS7EKJ4khpUEaKUgVJ2lLIff27+E2BsFQGNEdgb0KjgId7t9joosxT6yGRUQA9wrUIfvB2tj4E+hraOegOaEEIUMxKgiol/By5sFdHajQoZgdYulH9nMKPR2YtRgX3AvQN94GbQx0AfRXv2SW9AIUSxIgGqmFLKdvzhrXXhbO5t9gu4A8w4cG9FBdwCaPS+68DaC3jQngOFnHMhhDg7EqAuEb7mQCMEZa8Ifm3AcSVYB8HvKrBVRx/o5O2+LoQQxYAEqEuMtxMGgAG2qih7ZVRAVyAbMFGBPbEynsE62AetswAZCCyEKJokQF2ilFIndLCoCjhRIcO9z7MWocJehpxfsA50A/fW42OpXIWWXyGE+DcJUJcBbwcL43gXdQ8q9GmUEYo+8h4qsDuYUejMcZDzm9SmhBBFhgSoy4i3U4UJjiu9gcq/MzivRme+Ca514KgL1h6054BMpSSEKHQSoC5Dvg4Vfm0BE2WrgArqBzm/ove1AddvvuZBmUJJCFFYJEBdxrxd1G2ogJvBVh08f0PgHeBshpU2BCt9GOCRZj8hRKGQqY4EAMrwR/t3RHl2Qc4KyPkZVfJLbzd19w5wXlnYWRRCXGakBiV8lDLBjAV7HQi8G3Cg93dAH5vh6+EnTX5CiItFAtRFZln/zIuX23TmPr7NbXnI8XjypLnYlDJBOTACuwEajGhU6HOQ9TXWwV7g3ilz+wkhLgoJUBeZBiatXgnAh2tWk+12s2TXDv7OSCctK4t1qXsxDIM/Dx3E5fmnJ53L48nz/ELyDfZV/qjwN1HKhs54BuVsibJfAVYaWmsJVEKIC0oC1EW2fPffZGRnszczkxV7duO02Xh9+c+UCQnlwTnfUqNUJG+v+IWUzMPsSE/jlZ8XAzBj0wYO52Tjtiyy3C5cHg8ey/LVvi4Eb5Nfae8T/26owDuwMkah97WE7EV4O1BId3QhxIUhAeoiqxUZhaEUJQICiAoMBKBKyZIAlAoMxGmzsftwBnGh4czd+gf1okvz/Y5t7ExPw2na6P3ldECx7O+/+GnXDmzGPy/hhehtp5SJ1hZGyEPeDa7V3iY/ZwIc++L4LBQSpIQQBa9QA9QPP/xA+/btiYmJQSnFF198kWe/1poRI0ZQunRp/P39SUpKYsuWLXnSHDx4kG7duhESEkJYWBh9+vQhMzMzT5o1a9bQvHlz/Pz8iI2NZfTo0Sfl5bPPPqNq1ar4+flRq1YtZs2aVeDlBfCz2RjQ+EoU8FjzRDyWxdOJSeS43YxKSubgsaMMadqcbI+bTtVq4DRtlA0OpWRAIPuOHqFMSAgO0+SZHxbSMi6e15YtZcamDbgti+93bOOYy4WldYHWrJTy/pt4l/d4BvyuRx9+GX14JHj2+oKYEEIUpEINUEeOHKFOnTqMGzfulPtHjx7Na6+9xvjx41m2bBmBgYEkJyeTlZXlS9OtWzfWr1/PvHnzmDlzJj/88AN33XWXb39GRgatW7cmLi6OFStW8OKLL/Lkk0/yzjvv+NIsWbKE2267jT59+rBq1So6duxIx44dWbduXYGXObfGY57w01AKh82GzTCI8A/A32YjNiSUCH9/EmLLUT4sjE7ValA+LJy2FSthKEWjmDIAfPfnH9xYtTrP/biI9KxsPNpi7LIlHDh61HdNTwEFK6VsYIs//iTQO7efow5W+nA48naBXEMIcfFNnz6da6+9llKlShESEkJCQgJz5swp7GyBLiIAPWPGDN9zy7J0dHS0fvHFF33b0tLStNPp1J988onWWusNGzZoQP/yyy++NN9++61WSum///5ba631m2++qcPDw3V2drYvzSOPPKKrVKnie965c2fdrl27PPlp0qSJvvvuu886/+np6RrQ6enpZ31Mfrg9Hu3yeHSO261dHo/+fvs2rbXWQ7+bow8cPapf/Xmx/uC3VTojK0vfN+srvXn/vjzHFhTL8mjLk6mtw29rT0pdbWX/esI+V4FdR4gLKb/v29zjDv1+hfbsqXTGx6Hfrzivz4YTP7sulAceeEC/8MILevny5fr333/XQ4cO1Xa7Xa9cufKCX/tMiuw9qG3btpGSkkJSUpJvW2hoKE2aNGHp0qUALF26lLCwMBo2bOhLk5SUhGEYLFu2zJemRYsWOBwOX5rk5GQ2b97MoUOHfGlOvE5umtzrFCWmYWAzDOymic0wuCq2HJbWPNHyGkylqF4qkhqlIpn75x/EhoZRLjSUnl98zg87tvlqbVYB3KtSygDlBEdjVNAgsFXGOngn1sHeoLNl9gkh8ikxMZEBAwYwcOBASpYsSXJyMkopVq9e7UuTlpaGUopFixYBsGjRIpRSzJ8/n4YNGxIQEEDTpk3ZvHnzWV3z1VdfZciQITRq1IhKlSrx/PPPU6lSJb7++usLUMKzV2QDVEpKCgBRUVF5tkdFRfn2paSkEBkZmWe/zWYjIiIiT5pTnePEa5wuTe7+U8nOziYjIyPPozDkNhE6bTaC7HaS4itQo1QkzcvFUSsyis0HDhDsdNIiLp7+s77i7RXLMZQCzr9ThVI2sNeCgG6Q87N39omgfigjEKWUdJ4QIp8mT56Mw+Fg8eLFjB8//qyPe/zxxxkzZgy//vorNpuN3r175+v6lmVx+PBhIiIi8nV8QSmyAaqoGzlyJKGhob5HbGxsYWcJ0zRRx4NVhH8AbSpWpmapSNpUqMSRnBz+PHSIuxs0ZszSn3hg9swC6Ujhm3jWkQDBj4C9LtbB7lipTcG9S4KUEMf9+wttdnb2adNWqlSJ0aNHU6VKFZxO51lf47nnnqNly5ZUr16dRx99lCVLluS5Z3+2XnrpJTIzM+ncufM5H1uQimyAio6OBmDv3r15tu/du9e3Lzo6mtTU1Dz73W43Bw8ezJPmVOc48RqnS5O7/1SGDh1Kenq677Fr165zLeIFldsZQwHXV65KoMPB/Y0TAPh682aeveZaFm7fRtf/TWPv8V6P51WjUn4Ygd3BkwI5y1EhT6Ls5QElzX1CALGxsXm+1I4cOfK0aRs0aJCva9SuXdv3e+nS3jGM//6M/C8ff/wxTz31FNOmTTuphepiK7IBKj4+nujoaObPn+/blpGRwbJly0hI8H7QJiQkkJaWxooVK3xpFixYgGVZNGnSxJfmhx9+wOX6Z7XYefPmUaVKFcLDw31pTrxObprc65yK0+kkJCQkz6MoMk4YJ9WmYiUsrXmsWQuCHU4m/7aSgVc2xWV5GDDra1bs2Z3vGStyZ59QtnIQ8hzKrzXWof7ovTUg+wfphi4ue7t27crzpXbo0KGnTRt4fIwk/PMePvGL3omfZyey2+2+39XxpvxzmTpt6tSp3HnnnUybNu2k+/KFoVADVGZmJqtXr/bd/Nu2bRurV69m586dKKUYOHAgzz77LF999RVr166lR48exMTE0LFjRwCqVatGmzZt6Nu3L8uXL2fx4sUMGDCALl26EBMTA0DXrl1xOBz06dOH9evX8+mnnzJ27FgGDx7sy8cDDzzA7NmzGTNmDJs2beLJJ5/k119/ZcCAARf7T3JBKaUwlCKpQkU8lkWvuvWpX7o0761cQfmwMOqXjuGzDetYvGtHvq+htcYIuNkbkLIXoIIGofxa4p3k6cIMJhaiOPj3F9qzbborVaoUAHv27PFtO7HDREH55JNP6NWrF5988gnt2rUr8PPnSyH2INQLFy7UeD+58jx69uyptfZ2NR8+fLiOiorSTqdTt2rVSm/evDnPOQ4cOKBvu+02HRQUpENCQnSvXr304cOH86T57bffdLNmzbTT6dRlypTRo0aNOikv06ZN05UrV9YOh0PXqFFDf/PNN+dUlovVzbwg5XZZX7TtT70+da/+fMM63frDiTojO0vvP3JE/52Rrj2Wla9zW5alraOztdZaezJe9Ha5zXy3ILMvxHkrit3MW7ZsqR944IE826688krdvHlzvWHDBr1o0SLduHFjDeiFCxdqrf/5LD106JDvmFWrVmlAb9u27T+vOWXKFG2z2fS4ceP0nj17fI+0tLSz/ItcGEVmHFRxVxwDVC6P5dEut1v/tGO7nrr2N70zLU3XfHOs/nTdGl8aVz7GUFmW9xhPahvtOTQwz/io3H1CFKbiEqA2bNigExIStL+/v65bt66eO3dugQaoli1bnrGyUFiU1tLmUhAyMjIIDQ0lPT29yN6P+i9aa464XPxx8AATVq3gtbbX8/iCeew7eoQXk9rgb7dhM0xfN/WzO6cHcpaDoy5kzUdnDANnO4yw5y5cQYQ4S/l93+Yed+j3KwgJNs+c9rCH8Mp/FuvPhsJSZDtJiItPKUWQw0Hd6NLc06gJqUcy+faP33kmMYlDWceYtn6dd66/c7jp6u2C3hil/NFZ34JZBhX8gG+/dJ4QQpyOBChxSpUiShAZGMTAJk2JCgqi+4zP2XLwAP52e56egWfDO5msGxXUHxX6KljpWPuvx0p7gNzOE0KIC6dGjRoEBQWd8jFlypTCzt5p2Qo7A5cbj9uDaTOxLOuf7qOWRhkKt8uNzW7D8lh4PBaGqTDNMzcfXCg2w8DSmh516gFQNiSU4S2u5qM1q3l9+c+8eV176kaXxlDKN4XSmShlQ9sqA6AzXwX3Tm8PP+Utn9aWb9Z0IUTBmjVr1mm7pv97Fp2iRD4RLjJXtouPnv0cgPcf+xjLspj5zlzSUtPZtnYnG5Zuxu1ys2rBWpRSHEpNx5X9zz+Wx+3B7XJflLzm3mtyWxbvte+IzTCYvmkDjzdvSe2oaL7YtJE/Dx0869nSfWOl/DuhQp8FZ1Os9Ee9s6EjM04IcaHExcVRsWLFUz6Cg4MLO3unJQHqItu07A8ADu5JI3XnPgzD4LsPfyAsMpQ3B06iapNKvP/Yx0REhbFy3hq++/B7XDlu3hw0EbfLzZYVf5Ky7Z+R4ZbHwu1yn9N9oXNlMwwCHQ48lsWDVzalfeWqvLT0J15dtgRDGec0Ca1SNjBjwe86yJoDx6YDHtBZaO2ScVJCCB8JUBdZzeZVCQwJoGSZCCrUKQ9Ak3b1AaiTWB3LYxEUFkhgaADbN/xFfM1yrPxuLSVKh5OWmsGHz3xO2coxjL3nbXZs/Iv0/YdZ/u0qLM+F72xgGgZNY+NQSuFvs/P01a3wt9voOn0aI3/6/qzP461JGeBoDH43YoQ+D9nfw5GJgFuClBACkAB10RmGwY33X4fWms4Pd0BrTdfHOgFwx9Nd0Bq6j7gF027S4d5kgsIDqZNYnbCoMOwOG2UqRmNZFtvW7iKuWlme7jyGqo0rsX7JZiY8/gna0hzYcwhXtgtXjrvAmwNNw0ABA69sypVlYvli00bSjh3jvsYJHM7OJi3r2Fk1+SllgBGJEfYC2r0VnT4YffQjcP+BdJwQQoAEqIvOMI9P4nr8/o7615giu8N7nyYytiSm3aRS/SvwD/IjuWciQRGB3DqkA4Zh0P7eZABKxkQQER3G9Fe/oU3vq/lx+jImP/EpdqedpV/+wp6te321q4KqZeVOmeS02WhbqTIPN23OviOZXDXxHR6aO5tjLhc5ZzGfX+49KYwIMOJQJT4DIxJylkstSgghAaooMwwD02Zis3s/yE3TpERMBFprrrmtGR63hwffv4ecrByuu7MVQeGB7Niwi1Zdm7P0619Z8tUvxFYtw7SXvmL5tyt9wdHjLpgOCTbDIDYklJbl49mZkU7FiBK81e4GNuzfx/82rsdjWWcXaFQwquRXYJRAH+iAPtQDfWyGjJES4jInAaoYUkqhlMK0mfgFOLE77TRqU4+gsEA6P9yBkmUiCAoLpE5iDX5f8SerF6ylcdv6TH7iU75441tfoCqIjhW24wsmtoyL55nEVhw8dozbZ3zGL7v/wm1ZKKVwW2cOiErZUIY/oEEfQQUPwwi4SbqdC3GZk0+AS4BSCsM0MAwDu9NG9BWR1GxWlYT2DSlTKZq619TkSMZRvp+2hI4D2jLtpa9447730dY/tZuCaFKrERmFv91GnahoXkxqw6w/fmfAt1/zd8bhs+yKbqAiZqACe2BlPIOVUhWdOV6a+4S4TEmAusQYhuFbWTcsMhQ/fyedH+pAYEgA7e6+FoBZb8/jzhdu54fPf+ax657jaMbRfK0dc9K1lSLQ7uD99jeilOKR7+YQ7HBSNiQE8/jA3zNRygTb8ZWJs+aCrSr43yjLxwtxmZIAdYkz7SaGaWBZFp0GXo+2ND2e6oxfgJNv3/uOvqO7s2vzbgY2G8Zfv+/2zW6R30BlGgYhfn4YStGhcjWeuTqJT9ev5ZrJ7zP7j9/PKkhp7fGuyBs+Aaz9WIcGQNZsuSclxGVGAtRlIjfwKENxzW3N8bg9dB7SkXJVyzB38iKu65tEcEQQT9w4mqVf/YLW3iCV30DlsSxebN0Gm2Hw/qoV1C8dQ3KFSr7ZKc7U5KeUCc5ElBmBPvwiZM9DuzcDsuChEJcTmYvvMqQMhWmY1LumJlprrrszCb9AJ4s+XUJoyWASbmjEtJe+wulv5/q7W+P2uH09Cc/WibNL9GvYmOsrVeHLzRsZOn8ud9Stx9BmiWfOozLRWqOcV4PjKgjsA9mLwFYBbZb1zeEnhLh0SYC6jJk274d8+ZqxKKVo3LYeUeVLsfbHDcx69zveWjGaHRv+Yvu6XSTe2hRlqJPGbf0XQyk6VauBoRTz/vyDFnHxPJTQnCM5OTht3n8/22kmm1VKQWBP7/2nI++iM8eAEYMqOQckQAlxyZMmPoFp896niixXkivbNaBs5RiS70jE4/YwqNkwgsIDAUjfn5Gv8xtK4bYsBl15FU8ntmLxrh3Ue2ccvb+cfg5Ndm4wy6NKTEMZTgC0vjiT5gohCocEKOGTW6MKKRHMLQ/dgM1uUi+pNo3b1mN4hxd48Y5xZB/LAc69E4XNMLgiPIJSgYGs3LOH6qUiGX99B466XBzOzv6PbugGBPZDRXwA+hhWaiLW/g6gs/JbVCFEMSABSpwkd/YKu9POoLfvBmDH+l08PnUQq+avYXDiCLav34U7x31O0yfZjs/j17d+Q15o1Zqd6WkkTHibjp9OISM7+7THeQcmm94pkbJ/BGs3OJoABlrL5LJCXKokQInTMm0moaVC8Hgshn86mIBgfz58+nPa9m5F2UqlWfDxT/z9R8o5BSnTMAiw26kQEcGWgwcI9/Pnk06dcdpMDh47+h/d0G3g3wGCH8cIeQyyZsKRCYB0PxfiUiSdJMR/Mk2DCvXisSxN2ztbcU235rz3yIes/G4tL7Z/Is8cf7nNhGc83/FOEe0qVaFscAh2wyRx8vscc7mYcWs34sPCT7lKr1IGmgCMwJ7onNXojGGgAlGOhmh7HenZJ8QlRmpQ4qzY7CaGoWh3ZxJKKRz+DvqP7c2+XQfoUuYupr4wA8tj4co5+44LhlLUiS7N/qNHOJydw0c33kL5sHAO5+Sc9hhfEDJLgxGJivgU7LVBH5GmPiEuMRKgxDnxdjWHnk/dSsX68SyfvYp6rWrR5ZEb+Wn6MhZNXXxO5zOUolKJkkzu2IlaUdF0mvYx9d8Zx6Lt287cEcMoiSr5Hdji0QduQKc2gqxZ0rNPiEtIkQ5QHo+H4cOHEx8fj7+/PxUqVOCZZ57J801Za82IESMoXbo0/v7+JCUlsWXLljznOXjwIN26dSMkJISwsDD69OlDZmZmnjRr1qyhefPm+Pn5ERsby+jRoy9KGYsjpRSGYeAMcNC2Tys63teWVQvW8mKvcUSUDvelO5dlPRqUjiHH42bDvlSevTqJxPLxeM5QI1LKRBl+oDPBvRWcLcHZAqVsEqSEuEQU6QD1wgsv8NZbb/HGG2+wceNGXnjhBUaPHs3rr7/uSzN69Ghee+01xo8fz7JlywgMDCQ5OZmsrH+6IHfr1o3169czb948Zs6cyQ8//MBdd93l25+RkUHr1q2Ji4tjxYoVvPjiizz55JO88847F7W8xY1pmgSHB1K5YQXCIkO5oX8baresztC2z3F/08c5kn70rIOUaRg4TRuTOnSia606PL5gHlXGvcqk1SvPeJwywlFhr6PCxkHOr1hpj4B7uwQpIS4Fughr166d7t27d55tN910k+7WrZvWWmvLsnR0dLR+8cUXffvT0tK00+nUn3zyidZa6w0bNmhA//LLL7403377rVZK6b///ltrrfWbb76pw8PDdXZ2ti/NI488oqtUqXLWeU1PT9eATk9PP/eCXgI8Ho/OTD+i/9qyW99Y4g6dumu/Tt21X//w+VLtynFpj8dzVudxH0/X9P239cDZ32jXCcdZlnXKYyzL7c1DSgPt2VNZew6/c56lEZeL/L5vc4879PsV2rOn0hkfh36/4rL+bDgfRboG1bRpU+bPn8/vv/8OwG+//cZPP/1E27ZtAdi2bRspKSkkJSX5jgkNDaVJkyYsXboUgKVLlxIWFkbDhg19aZKSkjAMg2XLlvnStGjRAofD4UuTnJzM5s2bOXTo0Cnzlp2dTUZGRp7H5cwwDAJDAihTsTT3vtqLUmVLcH/CY3zzzjxyslwYhnFWtSnTMPBYFiNbXcsLSa35evNGGr77JqN++v600yz5Ok44rkSFPIMR1Bft/gutPbJMhxDFWJEOUI8++ihdunShatWq2O126tWrx8CBA+nWrRsAKSkpAERFReU5LioqyrcvJSWFyMjIPPttNhsRERF50pzqHCde499GjhxJaGio7xEbG3uepb00aK1Jur0FAIGhAQz/7EHWL97EsPYj2fzLH2c1A4VpGFwVG4fDtPG/jRsI9/One+16ea5x8nUtjPA3UAGdsTKeQu+/Bp02QLqeC1GMFelxUNOmTWPKlCl8/PHH1KhRg9WrVzNw4EBiYmLo2bNnoeZt6NChDB482Pc8IyNDghT4ajlut4cX5z9BYEgA4wdPpkazqlRtUgnLozEMsDyWb/zUqZiGgduy6N+oCaUCAznmdnHr51OpHRXN480TT3HdE87l2uydVDboAQDv+lISqMQFUHdGbww/vzOmsbKygGE0atQI0zTp378//fv3vzgZLOaKdIB6+OGHfbUogFq1arFjxw5GjhxJz549iY6OBmDv3r2ULl3ad9zevXupW7cuANHR0aSmpuY5r9vt5uDBg77jo6Oj2bt3b540uc9z0/yb0+nE6XSefyEvUTabSVhkKAAtbkmgy6M3MmfiQl65623uffUOOgxo+9/nMAwalSmLqRRPfr+ANXv30qVmbe9sE1r71rg6kdZuVOgowASlsNIeQTkao/1vOueZ2IUoSL/88gshISGFnY1ipUg38R09evSkDyHTNH3NRPHx8URHRzN//nzf/oyMDJYtW0ZCQgIACQkJpKWlsWLFCl+aBQsWYFkWTZo08aX54YcfcLlcvjTz5s2jSpUqhIf/021anJvcgNDzqVtx+jtY/u0qOg/pQMf7rmP1gnXs3pqC5z+mSbIZBm5tcUOVqjzR8mraVqzMqJ9+4K0Vy09zTRuYMShbGXTma5A1A330Y0B69QlR3BTpANW+fXuee+45vvnmG7Zv386MGTN4+eWXufHGGwHvB+DAgQN59tln+eqrr1i7di09evQgJiaGjh07AlCtWjXatGlD3759Wb58OYsXL2bAgAF06dKFmJgYALp27YrD4aBPnz6sX7+eTz/9lLFjx+ZpwhPnx+3y0Pu527hlcHu+Hj+XR5OfZcmXv2B5LNyuMwcPu2FSN6o0narVYPrG9by36lc27t9HelYWLs/JnSC8Y6E8KEcCOK9GlfgUdCZaH5Pu50IUI0W6ie/1119n+PDh3HvvvaSmphITE8Pdd9/NiBEjfGmGDBnCkSNHuOuuu0hLS6NZs2bMnj0bvxPahadMmcKAAQNo1aoVhmHQqVMnXnvtNd/+0NBQ5s6dS//+/WnQoAElS5ZkxIgRecZKifNjs5uUviIa0GQfy+GWh2/gxgfa8b9XZmKzm9z0QLszHm8aBlgWtaOiSa5QkTfatuf7HdtIz8rihirVTkqvlIn2uwHl1xZylqMP3QlGGKrkLFBhF6aQQogCpfSpukSJc5aRkUFoaCjp6enSzvwfLMsiLTWDtT9s4PmuYxn07t206XUN8N8TznosCw1sObCfdp98SKmAQD688WYqhkec5p6UC45+iD78Aip4CAT0xNtwcO6rA4tLT37ft7nHxb3w7Fl1ktjxyDD5bMiHIt3EJy5NhmEQWjKYslViuKF/Mtf2SOT1Ae8x/IZRHD187IzLd5iGgc0wCLA7iA4KYsat3YgOCuLPtFOPVwMbBHSDsHcgoBcceQed+TqyRIcQRZ8EKFEoTJtJfM1y9H2hO3/+tp2v35pL4q1XERwehGEa/9l5IjY0lJm3daeEvz/JH02m9UeTmLt1y0kr83prSXaUsxlkf4/OfBWOTgLXWhnEK0QRJwFKFBrDNHD42YmrXpYuj3akVbfmjOr+GrfG9GXbmh1nrEkZShHhH0C2x82BY0d59uokWleohGkYJw3kVcrwjoOyV/aOj4r43LtEBy60lpqUEEWVBChR6EybSe/nupJ1JIv5U36kz/PdqFgvnpys068LlSvI4eR/t9xG11p1GLZgHtXGjWXqujWnXpnXiEaVmge2suj97dB7G0DOEu99KiFEkSMBShS63E4RfoF+DHz7LlrfkchLvcfRPrg733+25IzHGkpRrZR3Kquvft9E7agorqtUBUOpUzT3mShlB89+8Gz11qJsFQCkuU+IIkgClChS2vW9FoCV89dxzyt30PKWpuzemoLb5T7tZLM2w8DSmqcTW/Fe+xvZtH8ffb6azrw//zhlTUrZyqBCnkdFTARPChwZDzpDgpQQRcx5B6gT110SoiB43B4e/WAANz3Qjncf+ZCele7j0xe+OGP3c0MpbqhSjWCnk1GLf2DpX7s4nJ2Dx7Jwn2qCWv+bAAf6UG905uvoIxNlvj4hiph8BSjLsnjmmWcoU6YMQUFB/PnnnwAMHz6c999/v0AzKC4/ps2kxlVVAdix4S9uHdKBbsNu5o9V28g4cPi0NSlDKbTWtKlYmZeubcP1laswdf1aNu/fd4rmPsM7waxZFgL7YQTLrCFCFDX5ClDPPvsskyZNYvTo0XnWUKpZsybvvfdegWVOXL5Mm4nH5eGBt+7i9uE388Ub33JPgyGMf3DyGY9TSnF3g0a0rViZF5f8yBOL5vPcT99zqtHoWrtRJT7HCB6MznwTa29ddOa4C1MgIcQ5y1eA+uCDD3jnnXfo1q0bpvlPs0idOnXYtGlTgWVOXN5Mu0lEdBgOPwcH9xzi6tuaMWTSAP5YtY1dm/4+49pSGgjz8+ea+Cv4oOPNpGUd40hOTp7mPqVsKOWdkV4f+8p7lFEard3S/VyIIiBfc/H9/fffVKxY8aTtlmXlmRFciPNl2ryz13cfcQvp+w+z7JsVDGs/ijqJNXj6y0fwD/I75ZRFhlLc3ySBjOxslv61k95fTqeEvz/zuvci2Jl3ahqtPajgh8AIA3tNOPYFOBqjzRjv7OhCiEKRrxpU9erV+fHHH0/a/vnnn1OvXr1THCFE/hmGgc1hI7RUCEczjlGjaRVGzRlGyrZU1i8+c43d32bj9wP7CbDbebNdB19wyluTMr2znjsaojOeRWc8hj7YHenkKkThytfXwxEjRtCzZ0/+/tvbzDJ9+nQ2b97MBx98wMyZMws6j0KglMLusHH1bc2ollCZPX/u5Z4GQyhbqTQj5wyjREx4nubmXDbDoHvtetSPLkOlEhH0mPE5OZaH8e1uINT5T+3L14NP+YF5BSpikm+VXq2tvCv2CiEuiny96zp06MDXX3/Nd999R2BgICNGjGDjxo18/fXXXHvttQWdRyHyiCxXEneOh8jYkry6+Fk8Lg+/zvkNbZ1izJNS2AyD2lFRLN65k5927SAmONg7kFdbecZJaW2hgoeiIj4GnYV14GastEcuZtGEECfIdwN78+bNmTdvXkHmRYizYhgG5WvGMnr+CGx2G/c0GILdYeO5WY9RsV78SctuGEqBUjQrF8ed9RrwWPNEZm3ZzJaDB7i7QWMcpomh1D81JiMEnTkBXGtABYI+CiqoMIoqxGUtXzWoO++8k0WLFhVwVoQ4e0opouJKobXG7rAx5vuniS4fyS/frsLtcp+yh5+fzcZjzRPZc/gw9307k4mrV7JmbwqcohO68usA/l1R4RPBsxvt3io9+4S4yPIVoPbt20ebNm2IjY3l4YcfZvXq1QWcLSH+m2EYOAOcvLF8FOWqlmFwyxE8dfMYfp654pSLF5rHt4U4ncSGhvLpzV2oUSqSTfv350mnlA1s8aiQEeBahT7QHr3/enD/ftJM6UKICydfAerLL79kz549DB8+nF9++YUGDRpQo0YNnn/+ebZv317AWRTi9EzToFRsCQCyj+YwfNpgGretz6oF68g6knXKWSecNhtzut1BlRIluWnax1z/yYe8v/LXPMHH271cg5XufR78GMpeFaWUzNknxEWS765J4eHh3HXXXSxatIgdO3Zwxx138OGHH55yfJQQF5JhGLhdHl758RkS2jfkxV5vMCTpKf736jennL/PZhg4bTYsrUnJPEyP2vXoVa/B8eBzYpAyUX7XoCI+RwV2xzo8GittEOhMCVJCXATn3XfW5XLx66+/smzZMrZv305UVFRB5EuIc2Kzm0SUDgMg89ARej51K90e78TW1ds5knEUt+vkgKK15tObuzCi5dVM/m0VCe+/zaTVK09uxrPXQLs2wJH3IHsRuDZe+AIJIfIfoBYuXEjfvn2JiorijjvuICQkhJkzZ/LXX38VZP6EOGuGYeBxexg65QFuG3ojU1/4gn71H+al3m9imCfPNmEaBpUiIjCUYsra31AK6kSXxtIat+efgKaUAbZ4sNVBRUwDRz2wUi9m0YS4LOWrm3mZMmU4ePAgbdq04Z133qF9+/Y4nc6CzpsQ58y0mQSFB2IYBvt27adph0YM+3Qwh1LS8Qty4hfgzNPsZxomltb0b9SEGqUiCXX6MfKn70ksfwVNY8t5u6gDYMco+RlaW+gD14P7DwgeBgHdZJkOIf4lJyeH1NTUk3rTlitX7pzOk68A9eSTT3LLLbcQFhaWn8OFuKAMw8DyWNw56naOHj7GynlrGHb9SMrXjGXs4mdPui9lKEWHKtW88/d9O5OZWzaTeuQoV8X+82b6Z04+F7h3gL0B+LUFDO+s6DJnnxBs2bKF3r17s2RJ3pWwtdYopfB4zu3ebb6a+Pr27XvRgtPff//N7bffTokSJfD396dWrVr8+uuvvv1aa0aMGEHp0qXx9/cnKSmJLVu25DnHwYMH6datGyEhIYSFhdGnTx8yMzPzpFmzZg3NmzfHz8+P2NhYRo8efVHKJy4MwzRwBjgIiQhi56a/KFMpmhfnP4FSiqyj2Sf17stdS6pGqUhur1WH19q2Y9P+few/euRfCx7aUeHvoSImgGcnOuMJcG9Da/fFLaAQRdAdd9yBYRjMnDmTFStWsHLlSlauXMmqVatYuXLlOZ8v31/7fv31V6ZNm8bOnTvJycnJs2/69On5PW0ehw4d4qqrruLqq6/m22+/pVSpUmzZsoXw8HBfmtGjR/Paa68xefJk4uPjGT58OMnJyWzYsAE/P+/EoN26dWPPnj3MmzcPl8tFr169uOuuu/j4448ByMjIoHXr1iQlJTF+/HjWrl1L7969CQsL46677iqQsoiLzzAMlEPR4d421E+qzdGMY9xR+X4MU/HWyhcpEROeZ7yUUoq7GzYm2+3m8w3rGPLdHCIDA5nfvTe24+ueKWWgHY1QyoaV/hB4/kZjYoQ+UVjFFKLIWL16NStWrKBq1aoFcr581aCmTp1K06ZN2bhxIzNmzMDlcrF+/XoWLFhAaGhogWQM4IUXXiA2NpaJEyfSuHFj4uPjad26NRUqVAC8tadXX32VYcOG0aFDB2rXrs0HH3zA7t27+eKLLwDYuHEjs2fP5r333qNJkyY0a9aM119/nalTp7J7924ApkyZQk5ODhMmTKBGjRp06dKF+++/n5dffrnAyiIKh1IK025SrloZtq/fhSvHzfPfDqNU2RLeYU6ek2eHMAzFvqNHiAoM4pObOhN4PDjl1qR8zXn2uhDYFyP0CbTOBpDZJkSxtGfPHrp27UrlypUxDIOBAwfm6zzVq1dn/78Gvp+PfAWo559/nldeeYWvv/4ah8PB2LFj2bRpE507dz7nm2Bn8tVXX9GwYUNuueUWIiMjqVevHu+++65v/7Zt20hJSSEpKcm3LTQ0lCZNmrB06VIAli5dSlhYGA0bNvSlSUpKwjAMli1b5kvTokWLPKsDJycns3nzZg4dOlRg5RGFQymFaZo0ua4+T814mPI1ytKv/sPcENKdrWu2n9TcZ1MGfes34qMbbyHI4eS6jz+gw9SPOHJCS4HWHlToy6igh9BH3kPvrYV16D6Z9VwUuH+3UF0I2dnZlCpVimHDhlGnTp18n+eFF15gyJAhLFq0iAMHDpCRkZHnca7y9W7aunUr7dq1A8DhcHDkyBGUUgwaNIh33nknP6c8pT///JO33nqLSpUqMWfOHO655x7uv/9+Jk/2LvudkpICcNLYq6ioKN++lJQUIiMj8+y32WxERETkSXOqc5x4jX/Lzs4+7z++uLiUoah3TS0O7D7E1tXbuXdsLyrVu8K3KKIvnVKYSlEuNJQfdm5n0/59NC5TFqfNhsfyzoCulIlSyju4N3sxqECU37Vo7UJrWbRT5F9iYiIDBgxg4MCBlCxZkuTkZJRSeaaUS0tLQynlmxN10aJFKKWYP38+DRs2JCAggKZNm7J58+azumb58uUZO3YsPXr0OK9WsKSkJH7++WdatWpFZGQk4eHhhIeHExYWlufWzNnK1z2o8PBwDh8+DHi7nK9bt45atWqRlpbG0aNH83PKU7Isi4YNG/L8888DUK9ePdatW8f48ePp2bNngV0nP0aOHMlTTz1VqHkQ504ZitJXRPHoR/fTqmtzXrn7bRbPWM7DE++lYZt6mKb3O5tSCrtpklyhIqlHmnFPwyZMWbOa3ZmHub9xAvbjM6Br7UYFPwb6MNiqegfz2mugHc2kNiXy+PeXWKfTedrhOZMnT+aee+5h8eLFAGd9T+fxxx9nzJgxlCpVin79+tG7d2/fOS6GhQsXFuj58hWgWrRowbx586hVqxa33HILDzzwAAsWLGDevHm0atWqwDJXunRpqlevnmdbtWrV+N///gdAdHQ0AHv37qV06dK+NHv37qVu3bq+NKmpeQdVut1uDh486Ds+OjqavXv35kmT+zw3zb8NHTqUwYMH+55nZGQQGxt7rkUUheSaLs2wLM23783n2h4taZhcF9M0sCyNYfwzqNfPZueehk34/cB+hi+aT2RgIG0qVKJGqUhQCqVsaFs8YKAzX/IGKCMSVXIuqIDCK6Aocv79+fDEE0/w5JNPnjJtpUqVfD2Jz2V+0+eee46WLVsC8Oijj9KuXTuysrJ8HcYutNxrF5R8Bag33niDrKwswBux7XY7S5YsoVOnTgwbNqzAMnfVVVedVEX9/fffiYuLAyA+Pp7o6Gjmz5/vC0gZGRksW7aMe+65B4CEhATS0tJYsWIFDRo0AGDBggVYlkWTJk18aR5//HFcLhd2ux2AefPmUaVKldNWS8/07UcUfcpQKOC+cXfStk8r5n7wPZ+P+ZpbHmpP655X+4KU7Xgvv+igICqGl2BSx5vwt9lZtXcPDUqX8Z5L2bw1KTMObVZARUxBGd7gJGOkRK5du3YREhLie36mz4/cz6pzVbt2bd/vuV/aU1NTC7RvwJn88MMPZ9zfokWLczpfvt45ERERvt8Nw+DRRx89ZbpRo0bRr1+/fI+ZGjRoEE2bNuX555+nc+fOLF++nHfeecd3n0spxcCBA3n22WepVKmSr5t5TEwMHTt2BLw1rjZt2tC3b1/Gjx+Py+ViwIABdOnShZiYGAC6du3KU089RZ8+fXjkkUdYt24dY8eO5ZVXXslXvkXxcf3d16KU4rMXv8Qv0I/GbephGOqkmlSA3cE3XbujlKLFpHdJyczkuauv5daatY4vdmiDgFvBrx1Y+7FS24MKQZWYBiq4EEsoioqQkJA8AepMAgMDfb/nDoU4cY5Il+vU9zlzv2CD9/MROOXaaBdKYmLiSduU+ud9dFEG6p6t559/noMHD+b7+EaNGjFjxgw++eQTatasyTPPPMOrr75Kt27dfGmGDBnCfffdx1133UWjRo3IzMxk9uzZeaq0U6ZMoWrVqrRq1YrrrruOZs2a5enMERoayty5c9m2bRsNGjTgwQcfZMSIETIG6jKglEJbmhsfaMdTXwzhwJ5DPNL6Gb56c3aedDbDwG56p0XKyM5mYJOm3Fartm+A7z8ndEL2T2DtA3sNwJJOE+K8lCpVCvB2Bc9VVNfgO3ToUJ5Hamoqs2fPplGjRsydO/ecz3dB2x4KYnG366+/nuuvv/60+5VSPP300zz99NOnTRMREeEblHs6tWvX5scff8x3PkXxpQzF9XddizIU4+6fwJaVf3LrkA6A99vniYN5TaWY0bkrlUqUZMzSn/hwzWoGX3kVt9eue3zePhP8O4LOxgjqg876Dqx0tP9Neb5JCnG2/P39ufLKKxk1ahTx8fGkpqYW6K2UXLlBLzMzk3379rF69WocDsdJ/QDO5FQ9AK+99locDgeDBw9mxYoV55QnaRwXAm+QsjwWLTs3pfUdiVSoW56X7xpPuWpluXnQP1+QTMPginBvE/fnG9ZTMiCQZuXiMJTCbVnYDAONvzc4udaj0+4FDJQZhXZcKfejRL5MmDCBPn360KBBA6pUqcLo0aNp3bp1gV6jXr16vt9XrFjBxx9/TFxcXIEsQhsVFXXWXd5PJO8WIY4zTIOWnROwPJoPn57GnAkL6fXcbbiyXShDYbN73y6mYWBpzSNNm9GkbDmOulw8+t0c2lasTLNycZjG8cloVQjgjwp7BeVsBhwf4Cuzn4szyB3bdKJq1aqdcgLWXImJiSe1WNWtW/ecWrEKosVrzZo1J51zz549jBo1yteR7VxIgBLiBN6Z0N3UblEDheKWh27gf6/MxGY3uemBdv+kU4obqlbHUIqeX3zOTzt3EObnT4u48v+czCyDKrUQjDCsQ/eA6zdU2Fi0vZ7UpMQlqW7duietTA1w5ZVXMmHChHM+n7xLhPgXm91GvWtqUqdldX7638+8O+RDmne6kqTbW+Af7Ifd4e0pldtBolFMWZqUieXeRk34Ycd2KoSHExUU7O2ibkagPfshez6Y8cdrVRqtLRnIKy6aGjVqsGPHjlPue/vtt/N0PMsvl8tFYmIi48eP93WhNwyDUqVK5Xsc1gUNUM2bN8ff3/9CXkKIC8IwDVAQW7UMjdrUY9ing/h1zm/s++sAbXtf492Pt5POgMZX4rYs3l7xCy8s/oErwiL4pmt33xgqZZZEBz6ACrwNrMNwdBr434AmQJr7xEUxa9as03ZN//c0b/llt9tZu3YthmH4xqqer7MOUBkZGb4+/P8171xuulmzZp1H1oQoXIZhUL5GLE9Of4g9W/cy7PqRxFYtQ93EGkSVL+W7JwWggCy3i6olSvJxp87YTW/gye04YQT3B8DafxNYu8G9DSO04HtiCXEqBRUw/svtt9/Oe++9x6hRowrkfGcdoMLDw9mzZw+RkZGEhYWdsstsfldNFKKoMkwDh+nAP9ifmIrRvPLD0xw+mMmP/1tGi5uvxDANlFIYSjGg0ZV0rlGLfUeOcs0HEwhxOvny1tsJPbF5wwgBZwtUyGOFVyghLhC3282ECRP47rvvaNCgQZ4Bx8A5L2F01gFqwYIFvhkkCnpCQCGKutBSIbyxbCR+AU7uqHw/HreH8KhQ6iTWAP6ZAb2EfwDf/bmVw9nZPHpVC19w8lgWhrJQEZ+A8odjn2AdHgsBXTGCBxZiyYQoOOvWraN+/fqAd1q6E+VnHOBZB6gTJwE82wkB7733Xp5++mlKlix5zhkToigxTYOgsEDcLjd2p43nv32cctXKsHrBOmo2r4ZpGhimgc0w6FStOuF+frStWJmnvl9AenYWzyQm4W+3Yxjeb5TW0elANsqMRescwJT7UaLYK+jKywXtRvTRRx/JOknikqKUd7n4qo0r8ni753mk9TPMmbjA12nCUAqnaeP6ylVZvvtvJv+2ir/SM0jPzvKtyKu1BxV0HypsPPi383aacG9Ca2kaF+JEFzRAFcTALyGKEtNmEhEdBkDmoSMMeL0319/dmp0b/8KV7cLj9mAe771Xo1QpEuPi+eDGm9l/9CjTN67H5fEABjibg+NK9OEX0YefRqfdD8hy8UKcSMZBCZEPbpeH5799nFJlSzD+wcn875WZXN+vNQ+82deXJsDuYEKHmzicnc2tn3+KRlMqIJCr46/AUKZ3LJQRjrZVQ0V8gFLe8VWyRIcQXjJSUIh8sNlNSpT2rhX295Y9JHVvwX1v9OHwwUzcLjdul8c3DspmGAQ7HEy44SZalo8nJdO7GrVSBipoACriA/CkYKU2xdrfCXAXVrGEKFIkQAmRT4Zp4HF7GPROPwa81ofvpy2lU6neDG3zLCd2WLKbJnO730HT2HL0+vJ/NJv4LuN/Xf5PAhUA2YvA2g+OBqBliQ4hIJ8BaufOnae8v6S1ZufOneedKSGKC9NmEloyGP9gPzYt30KFuuV54n8PA96lOnJrUmF+3hlVNu7fR4cq1ehTz7tiqvd9ZEJAZwgegRHyGGR9C8f+V1hFEqLIyFdDd3x8vG/Q7okOHjxIfHy8b6Du7bffftYrSApRXJk2E4/HQ/cRt3Aw5RCpO/czqMUIIqLDGPfLKGx2b3DyWBbvXn8jNSMjmfn7Jl5dtpSutepwd4NGaIJRAV3R2UvQGUO9Y6Vs1cFeQ7qfi8tWvmpQuTNG/FtmZmaeSQHfeustGQMlLgumaeIf7EfpK6JYt3gTNrvJk9MfJiD4eHA63ruvZmQkdtNk8m+ryPF4aBRTBq01Hm0ACswoUOGoiE9Rjtp4V+SV3n3i8nRONajBgwcD3rEgw4cPJyAgwLfP4/GwbNmyfK35IcSlwDRNDMMg+Y6rKVupNCViwulbazCZh44wdulzlIyJ8C0b37dBI+JCwygVEMiIRfNpUqYs7SpVATMeVeo7UA6s/e3AvQMV/i7a0Uh69onLzjn9x69atQrw1qDWrl2Lw+Hw7XM4HNSpU4eHHnqoYHMoRDGilMLusFE/qTarF65j58a/GT5tMJGx3pYEj9uDaTNpU6ESpmHwyHdz+GzDOhSQfHybYQSj3X+Bews4E8FeHTCk+7m47JzTf3vuNBa9evVi7Nixcn9JiFPInVWiVvNqPDjhHpp2bMTTt4xh0/I/eGrGw1xRO85738qyaFA6hlCnk8eaJzJ/21aiAoOoXioSw1YWgp+FgBshezE653tU4N1oo6QEKXHZyNd/+sSJEws6H0JccpShaN0jkUN70/jxfz/T9fGbqFT/CgAsj4VpGnSuUYtst5vPN6xjyHdzKB8axoxbu3knmQ24GQCdNgDwoM0qGIFdCrFEQlxcMg5KiAvEOD5QNzwqjH5jetDrmdv46JnPuaPK/SyfvRqPx9v5wTje4ahiRARfdOmGzTA4kpODpb2DebHXQoWOQQXcgnbvRGvpOCEuD9JWIMQFprWm06D2AHw6+ksaXFub+tfUxDQNtKWxmyY3V69J83JxpGdlc/0nH2Jpi2+69iA2JAgV8RFKmVhpD0HWV+DXESNsdCGXSogLT2pQQlxgJw7J6Pl0Z4ZOeYBls1bSr97DfPPed75B76UCAtly8ADH3C5eSW5HudAwlLJh6ePHu7eArQYqeAiA1KLEJa9YBahRo0ahlGLgwIG+bVlZWfTv358SJUoQFBREp06d2Lt3b57jdu7cSbt27QgICCAyMpKHH34YtzvvfGeLFi2ifv36OJ1OKlasyKRJky5CicTl5uZB7XH6O5j6whcAJFzfwBfADMMgsXw877W/kcTy8dz7zVdc++FEth465O3BFzYGFTERrFSsg3fA0SmFVxAhLoJiE6B++eUX3n77bWrXrp1n+6BBg/j666/57LPP+P7779m9ezc33XSTb7/H46Fdu3bk5OSwZMkSJk+ezKRJkxgxYoQvzbZt22jXrh1XX301q1evZuDAgdx5553MmTPnopVPXD4sy6L9Pa0Z8fmDHEpNZ3DLEUx+6lPAez+qWbk4/s7IYPbWLdQoFUm50FBvzz0zDmWEoTPHQc4StGc7WntkWRtxySoWASozM5Nu3brx7rvvEh4e7tuenp7O+++/z8svv8w111xDgwYNmDhxIkuWLOHnn38GYO7cuWzYsIGPPvqIunXr0rZtW5555hnGjRtHTk4OAOPHjyc+Pp4xY8ZQrVo1BgwYwM0338wrr7xSKOUVlzbDMGjdM5GYCtH875WZ/PX7HhLaNfwngdbEhoZyX6MrGdO6LXO3/sGgOd+wPT3Tu9ih33UQNBAjZDhk/wiebbLYobgkFYsA1b9/f9q1a0dSUlKe7StWrMDlcuXZXrVqVcqVK8fSpUsBWLp0KbVq1SIqKsqXJjk5mYyMDNavX+9L8+9zJycn+85xKtnZ2WRkZOR5CHG2DMM7E3qrbi148P17KFm2BCM6vMDrA97zpRmUcBVKKR6a9y2//P036VlZeLQCv7aowL7oIx+i0+5CH7gd9LFCLI0QF0aRD1BTp05l5cqVjBw58qR9KSkpOBwOwsLC8myPiooiJSXFl+bE4JS7P3ffmdJkZGRw7Nip3/gjR44kNDTU94iNjc1X+cTly7SZ1GtViwZJtZkzaSG/zv2NetfUwjAMDKWwPBaGUrSMK88HN95MVGAQk39byf6jR4+fwQNGDKrkZygjCPAudijEpaJIdzPftWsXDzzwAPPmzcszCW1RMHToUN/chAAZGRkSpMQ5M00Dj9YkXN8Qp5+DxtfV56U+b+LOcTPw7bux+9l5t/2NANw07WN+S9mDx9Lc1aAROqAnytkaMLD2XQvYUCU+BhV+xmuKghP/yC/Yjq+EfDpu7WIH0KhRI0zTpH///vTv3//iZLCYK9IBasWKFaSmplK/fn3fNo/Hww8//MAbb7zBnDlzyMnJIS0tLU8tau/evURHRwMQHR3N8uXL85w3t5ffiWn+3fNv7969hISE4O/vf8q8OZ1OnE7neZdRCNNmEls1hnLVy7Dky1+ZM3EhfUd3xy/A+/9leSwM0yDC358nE1vRrVYdVu7ZTfVSkTjNUpA1Ezw7IKAXKP/j96OUd5CvKDJ++eUXmR7uHBXp/+BWrVqxdu1aVq9e7Xs0bNiQbt26+X632+3Mnz/fd8zmzZvZuXMnCQkJACQkJLB27VpSU1N9aebNm0dISAjVq1f3pTnxHLlpcs8hxIVm2rwzoddsVoVOA9vR+aEbmDjsE5686UUO7UvH7fEwrm17uteuy4tLfuTmzz6h/6yvUMoOzmQIHooRMhSOTUdnjgVcMk5KFHtFugYVHBxMzZo182wLDAykRIkSvu19+vRh8ODBREREEBISwn333UdCQgJXXnklAK1bt6Z69ep0796d0aNHk5KSwrBhw+jfv7+vBtSvXz/eeOMNhgwZQu/evVmwYAHTpk3jm2++ubgFFpe94LAg+r18B7u3pvDx89O5/u5rCS0RjM00UcenRtp35AiJcfG81e4GstxunKYTI7AX2vU7OuNJMEqAMwnsNc94LSGKuiIdoM7GK6+8gmEYdOrUiezsbJKTk3nzzTd9+03TZObMmdxzzz0kJCQQGBhIz549efrpp31p4uPj+eabbxg0aBBjx46lbNmyvPfeeyQnJxdGkcRlzLR7V8+NjC1J6zsSuW/cncx69zuWfvUrd47sRmyNsjyZ2Iocj5tlf//FnV/NoEJECb7ucjuGGQXmFajwd8EIBfcGCVKiWFNaRvkViIyMDEJDQ0lPT5d2ZnHecteNsixNW0cXGrapy7Cpg/AP8sPjsbDQvLZ8KdPWr+Ojm26hUkSJ4z34NGCg97UCazcq5Bnwv0XuR51Gft+3uccl0uGsOkks4kv5bMgH+a8Voggybd6alGEo2t55DcM/HcTqhet4pPUz/DpnFQpF3/oNeatde8KcfnSY+hF3fv0VHssA3GAdhMB7UAG3opQh96NEsSQBSogizLIsBo6/G79AP9575CMyD2VSuUEFbKZBoN1B7ajS/LBzO+tS95J0RUVspom3u/k0jOBB6Mw3sFKbwrFpEqREsSMBSogiLHdNKYCrb7uKJ6Y/TOqu/Tzc6im+GjcbUymuvaIiI1peza01avH09wt4eekSLKMCAProVFAh4Gh8vCYlA3lF8SEBSohi4vbhtxAZW5JPnp9ByvZUGiXXRSlFoN1Ozzr12bgvlUm/rWJHejpZHo3WFipooHcGdMBKfxxylsq8faLYkAAlRDFieSyu7nIVQyb1x7SZPNzqKd4eNAltaSpElODGKtV4Jfk6ftixnS83bwL/m1BmaXTGs3Dsf+ic3wBkBnRRLBT7buZCXE4M06D5zVeiLc3E4VP5c80O+r5wO8pQ2DAYk3wdWW4X98+eSXx4OHWjSxMXGoZyNABncwjoAdnzwFYZbcahlFnYRRLitCRACVHMGIaB2+MmsXNTKtQpT3R8JEOSnsI/yI/hnz2Iw2ajYekYXm1zPYdzsln+9180Kdvf27R35G105qtgr4eK+BCQACWKLmniE6IYstltxNcqR/NOV/LzzBWsX/I7Nz7QDpvdhqU1H93UmaigIO6e+SV3zfyCVSm7jx+pwNHEG5z0UbR1RDpOiCJLApQQxZRpMzFtBk3a1affmB5Uu7IyQ9s8y/2NHyX7SDYAZUJCGH99ByqGl2DzgYMQeDcq9BVwrUenXoXe1waszEIuiRCnJgFKiGJMKUVQaCDt70lm58a/WPndWm4ffgsBwf54LIv32t9IQtlyDF0wlxumfsTPf/0FRgi4t4AKREW8jzLDAFlLShQ9EqCEKOZy5++7onYc/cf2ommHRozo+AK3RvclIyUdgEC7g0euak7jMmXZlpbp7d0X/jaY0Vj722OlNgfPXumCLooUCVBCXCKUobihfxuyjmSx9Ktf6TemJyXLRJCT4+LZq5PoUbseb/26nLZTJrP0r7/BXgdc68H9OyrofpStDEqZUpMSRYYEKCEuEbmzTvgF+jH0o/tJ6t6CF3q+zo2hPdm9eTeGUgB0rFqdprFx7ExPB0djCHkGFXALVvpwrP0dwP2nBClRJEiAEuISdHWXZgD8tmgD/V65g9iqZcg8mMm9jZrwSNPmzN26hWs/msSyv//CCOiM9uyHY5+CvS7YKqCUTZr7RKGTACXEJUgZCo/bw2NT7qd9v9aMf3AyXWLuYtPS3wl2OnFbFg1jytAoJpZd6ekos6R39vOQJ+DoVKwDXSDnV6lJiUIlAUqIS5RpM6l2ZWUA9mzdS59R3ajSpBI71uzkukpVeLl1W7YeOsg1H7zPjzu2YQQP8k4om/kiqGCw1zpek5JZ0EXhkAAlxCXMtJl43B4Gv9uPG+5tw6cvfEH/xo+yav5aIgMCMZSiYkQJGpUpy460Q96D/Hugwl6FnOVYB26FYzMlSIlCIQFKiEucaTMJKRmMaTPQWtP9iVuo3bI6309byhVhEUzscBM5Hos2Uz5g5u+bMEIGo4xAdObr3hP4tfStyCuTzIqLSebiE+IyYJresVK3Db2RzENHmPvB94zt9w4R0WHUalmdbLeb8mFhtCwfz+/791GpRAlUwE3gvAbcf2BljADntRjBAwu3IOKyIjUoIS4jhmEQEOJP2Uql6fzwDVRvWoV3h3yI+5iLqZ1uJdjhpOuMz5i4ehX4d/Uu1XF0KuCHCuztO490nhAXgwQoIS4zNruNGldV4fZhN7Pup418+cZsdm/eQ6ifHwB1o6K5uXoNVu3ZTWb2UfDvggp9Gjw7sfY2xDr0QCGXQFwuJEAJcRkyDAOHv4MqDSvSbVgnKtSNY1CL4az/+XfGX9+REKcfT/+4iLd+XYFy1AFbZcheDLZ4VNiLYKWi3X9J5wlxQUmAEuIy5ghw0O3xTmSmHWXr6u2ElQwm50g2lta0r1yFO+s3ZOH2nfyyew/a/1ZU8GPg3o7edy06cyzoLLR2SaASF0SRD1AjR46kUaNGBAcHExkZSceOHdm8eXOeNFlZWfTv358SJUoQFBREp06d2Lt3b540O3fupF27dgQEBBAZGcnDDz+M2523HX3RokXUr18fp9NJxYoVmTRp0oUunhCFymbzdp4IKxXCox89QJmKpRnQ+FG+fP1b+tRrSLi/P99s2cx3f/6JMoK98/dZ+8FRHyPsRcj5AY68C7glSIkCV+QD1Pfff0///v35+eefmTdvHi6Xi9atW3PkyBFfmkGDBvH111/z2Wef8f3337N7925uuukm336Px0O7du3IyclhyZIlTJ48mUmTJjFixAhfmm3bttGuXTuuvvpqVq9ezcCBA7nzzjuZM2fORS2vEIUl4foGgHd29Gu6NuOPVds4tD+D/g2b0LNOfb7+/Xee/fF7lLMpKvgJtGc3Ou0BMMJQyuEd5CtBShQkXcykpqZqQH///fdaa63T0tK03W7Xn332mS/Nxo0bNaCXLl2qtdZ61qxZ2jAMnZKS4kvz1ltv6ZCQEJ2dna211nrIkCG6Ro0aea5166236uTk5LPKV3p6ugZ0enr6eZVPiMLkynHrg3sPaa21HtDkUf3BU59ql8etc9xuPWXNaj1myU/a7fHoozlZ2vJkas/BB7TWWnvSntCe1Ou05fpLW1aOtiyr8ApxDvL7vs09LpEOOkndfMZHIh2KxWfDwoULdb169bTD4dAVKlTQEydOLOws6SJfg/q39HTv+jYREREArFixApfLRVJSki9N1apVKVeuHEuXLgVg6dKl1KpVi6ioKF+a5ORkMjIyWL9+vS/NiefITZN7DiEuBza7SVipUACadmjEzYNvYPb7C5j5xmy61KxNt1q1mb/tTzpNm4qFAxU6yltrOvY5KuwlMPwh62vQGTLZbAHJycm54Ncoqi1IxSpAWZbFwIEDueqqq6hZsyYAKSkpOBwOwsLC8qSNiooiJSXFl+bE4JS7P3ffmdJkZGRw7Nixk/KSnZ1NRkZGnocQlwJ1fFmO24behH+QH5uX/YEjwIknx00wdupGRdOxanWOuSxm/bEdpQxUyLMoezX0oQHorLmg/FDKe39Ly+wT5yQxMZEBAwYwcOBASpYsSXJyMkopVq9e7UuTlpaGUopFixYB3vvnSinmz59Pw4YNCQgIoGnTpifdrz+d8ePHEx8fz5gxY6hWrRoDBgzg5ptv5pVXXrkAJTx7xSpA9e/fn3Xr1jF16tTCzgojR44kNDTU94iNjS3sLAlR4DxuD32e78pVHRsz4/Vvefrmlwj386dv/YZk5GQz7tflWJYF/h28Byg/VOhoyP4RK7UVOnsZ3g4UrkItR1Hw7y+02dnZp007efJkHA4HixcvZvz48Wd9jccff5wxY8bw66+/YrPZ6N27938fRNFtQSo2AWrAgAHMnDmThQsXUrZsWd/26OhocnJySEtLy5N+7969REdH+9L8u1df7vP/ShMSEoK/v/9J+Rk6dCjp6em+x65du867jEIUNabNJDgiiKCwACo3uII2va4hdfs+vnj9W2KCQ3j+mmtBKVpOeo+jOcdQYW+gjBD0semooD7gqAtHP4SclZd9TSo2NjbPl9qRI0eeNm2lSpUYPXo0VapUwel0nvU1nnvuOVq2bEn16tV59NFHWbJkCVlZWf953Lm2IF0sRT5Aaa0ZMGAAM2bMYMGCBcTHx+fZ36BBA+x2O/Pnz/dt27x5Mzt37iQhIQGAhIQE1q5dS2pqqi/NvHnzCAkJoXr16r40J54jN03uOf7N6XQSEhKS5yHEpci0mdjsNmq3rM5VNzbi7y27+X3FVgAqB4djKMW1FSoS4PDnu227cXtyUIF9wO86ODIBfWwm2GuCPoK2jl6296Z27dqV50vt0KFDT5u2QYMG+bpG7dq1fb+XLl0aIM/nXnFT5ANU//79+eijj/j4448JDg4mJSWFlJQUX1QPDQ2lT58+DB48mIULF7JixQp69epFQkICV155JQCtW7emevXqdO/end9++405c+YwbNgw+vfv7/t20q9fP/7880+GDBnCpk2bePPNN5k2bRqDBg0qtLILUZQYhoHdYadx2/p0Gng9f/2+mz7VBpKd7WJ4i6sBeH/VCnIscJu1QAWCWQYVNAA8u9D7mkP2/BPuTV1e8/n9+wvtmWpGgYGBvt8N4+SZ5F2uUzeZ2u123++59xIt67+7/p9rC9LFUuQD1FtvvUV6ejqJiYmULl3a9/j00099aV555RWuv/56OnXqRIsWLYiOjmb69Om+/aZpMnPmTEzTJCEhgdtvv50ePXrw9NNP+9LEx8fzzTffMG/ePOrUqcOYMWN47733SE5OvqjlFaI4iK8dR3R8JDfdfx12u8lLfd7k2LFs3riuPQF2Bw/OncvWQxko/xvA0Rjcf4D/jeB3HVb6CKz0Z0C70Trnsm/6+y+lSpUCYM+ePb5tJ3aYKAjn2oJ0sRT55TbO5p/Xz8+PcePGMW7cuNOmiYuLY9asWWc8T2JiIqtWrTrnPApxuTFNA4/W3PLQDQCk78vA39/Jtp83E9KgAn3qNyQqMIjpGzfQKKYMZUPaomwVwL0Rcn5ClfgKPNvBtQb8b0Rr07fmlMjL39+fK6+8klGjRhEfH09qairDhg0r0Gv069ePN954gyFDhtC7d28WLFjAtGnT+Oabbwr0OudK/iOEEPliHp8mye3yMHSKd4bzNx+YhOX2UCk4DD+bjaigQHZnZvBXxmE8RiWwVYKAnqBs6IO3AQql7MDl1dx3riZMmIDb7aZBgwYMHDiQZ599tkDPX1RbkJSW+nWByMjIIDQ0lPT0dOkwIS5LbpeH1J37iKkQzbO3vswdz3ShdMVoLK1ZuWc3mw7so2vNmthNB1q70Yfuxoh4Hyt9GOSsQEVMRpmRaO1GqYvTuJPf923ucYl0wKbsZ0zr1i4W8aV8NuSD1KCEEAXCZjeJiiuF2+XmtsduIiI6nBljv2HXhr9oUjaW9pWqsiP9MBNW/QqADn3Ze2D2YlT4eNCHsdIfA9cGmdNPABKghBAFKLdLelz1WBz+DhpcWwePy2LV/LVk7jxIxYgSNCkTyzGXxbxtqd4u56GjUbY4dMZzAChHbbAOonX2ZdfT70KpUaMGQUFBp3xMmTKlsLN3WkW+k4QQovix2b33p8pVLYNhGOzduY/1izfjF+CktL8fAQ4HlrZQyiRDVydEa5SjEfh3Rh/7Ap3+OCpkJPhfd1Gb/C5Vs2bNOm3X9H8P0C1K5FUXQlwwuR0pSpUtQatuzclMO8L0V7/htsduok2FSgBMWLWaQQlXQdA9aG2hXRtRQQ+Afxs4Mh5UOAR2K8xiFHtxcXGFnYV8kSY+IcQFlxuo/IP86Pr4TRiG4vX+76G19gYn4P2Vv+K2PN6Bvf43wLEv0Efe985CcZw0+V1eJEAJIS6a3HtUaLh7TE+UUrzzyIdYWtOjTj0MZbLpwFEwSoCtEirwXrBVwDrQFetAZ+90SdLx+LIhAUoIcdGZdhO/ACcet4fbht6EoRQ/fLIYj8eiVGAQ+4/moG210QE9wbUW3JtQoSNB+YM+VNjZFxeJBCghRKExbSbBYYG4XR7qX1sbm2FwbHcGEf7+bEtLZ/+xHHA0hJDhYJZF778BvS8J7dosXdEvAxKghBCFzmY3CSkRjOWxcDrsHEpJIzYomBJ+AWRkuzD8bwR9DDx/oyI+ADMWXOu8nSokUF2yJEAJIYoE02Zic9iIKB1OeFQY+3cd4MDfBwj1C2DboUOgQiH8fZS9JvpQD/TBLujseTKH3yVMupkLIYqU3DFUUXGlMG0mh1LTKRsWjNuycKnaBAB4UlBhL4OzFTpnDdirADbfUh7i0iBfPYQQRVJu1/SwUiGk789AWxq0gdZurLAPUH5t0OmPoQ/ejD78mgSnS5AEKCFEkaaUIiI6DIfdxsHt+1DKxoGckt6d1l4I6I4R8jDasx+tXTJW6hIiAUoIUeQZhoHWmrJVyqC1JiooxFuTChmNCn4EffRj9L6m6IO9kI+1S4e8kkKIYiF3CXOP2yLj0GEsbZCRE4BSDrRrPdiqoMJf83WakJpU8SedJIQQxYrNbhIcFgSAvzq+tlTQYAx9GDz7sfZ3BDMGFTEZ+Ygr3qQGJYQodpRSKKXw93fi0QYuKwjMMpC9AKwUcK0E9x+FnU1xnuTrhRCiePNotAu0qcD/Zm9wMkqDrVph50ycJwlQQohiLXfclKVBqVDM8HcAZIaJS4AEKCFEsWezm2it8VhgaY1lWdhMGRdV3Mk9KCHEJUEphWkYWC4PeGRJjkuB1KCEEJcMpRQ2h3ysXSqkBvUv48aNo3z58vj5+dGkSROWL19e2FkSQojLkgSoE3z66acMHjyYJ554gpUrV1KnTh2Sk5NJTU0t7KwJIcRlRwLUCV5++WX69u1Lr169qF69OuPHjycgIIAJEyYUdtaEEOKyIwHquJycHFasWEFSUpJvm2EYJCUlsXTp0pPSZ2dnk5GRkechhBCi4EiAOm7//v14PB6ioqLybI+KiiIlJeWk9CNHjiQ0NNT3iI2NvVhZFUKIy4J0d8mnoUOHMnjwYN/z9PR0ypUrJzUpIYqR3Per1vnrlu7GBf9xqBtXvs4tJED5lCxZEtM02bt3b57te/fuJTo6+qT0TqcTp9Ppe577jy41KSGKn8OHDxMaGnrW6R0OB9HR0fyUMuus0oeEhNC4cWMMw6B///70798/v1m9rEiAOs7hcNCgQQPmz59Px44dAbAsi/nz5zNgwID/PD4mJoZdu3YRHBzsWxbgdDIyMoiNjWXXrl2EhIQURPaLBClX8SLl8tacDh8+TExMzDldw8/Pj23btpGTk3NW6R0OB35+fud0DSEBKo/BgwfTs2dPGjZsSOPGjXn11Vc5cuQIvXr1+s9jDcOgbNmy53S9kJCQS+qDIZeUq3i53Mt1LjWnE/n5+UnQucAkQJ3g1ltvZd++fYwYMYKUlBTq1q3L7NmzT+o4IYQQ4sKTAPUvAwYMOKsmPSGEEBeWdDMvBE6nkyeeeCJPJ4tLgZSreJFyiaJO6fz2rxRCCCEuIKlBCSGEKJIkQAkhhCiSJEAJIYQokiRAFZBzXUfqs88+o2rVqvj5+VGrVi1mzco7Il1rzYgRIyhdujT+/v4kJSWxZcuWC1mEUzqXcr377rs0b96c8PBwwsPDSUpKOin9HXfcgVIqz6NNmzYXuhgnOZdyTZo06aQ8/3v8S1F4vc6lTImJiSeVSSlFu3btfGmKwmv1ww8/0L59e2JiYlBK8cUXX/znMYsWLaJ+/fo4nU4qVqzIpEmTTkoj674VE1qct6lTp2qHw6EnTJig169fr/v27avDwsL03r17T5l+8eLF2jRNPXr0aL1hwwY9bNgwbbfb9dq1a31pRo0apUNDQ/UXX3yhf/vtN33DDTfo+Ph4fezYsYtVrHMuV9euXfW4ceP0qlWr9MaNG/Udd9yhQ0ND9V9//eVL07NnT92mTRu9Z88e3+PgwYMXq0ha63Mv18SJE3VISEiePKekpORJU9iv17mW6cCBA3nKs27dOm2app44caIvTVF4rWbNmqUff/xxPX36dA3oGTNmnDH9n3/+qQMCAvTgwYP1hg0b9Ouvv65N09SzZ8/2pTnXv5UoPBKgCkDjxo11//79fc89Ho+OiYnRI0eOPGX6zp0763bt2uXZ1qRJE3333XdrrbW2LEtHR0frF1980bc/LS1NO51O/cknn1yAEpzauZbr39xutw4ODtaTJ0/2bevZs6fu0KFDQWf1nJxruSZOnKhDQ0NPe76i8Hqd72v1yiuv6ODgYJ2ZmenbVhReqxOdTYAaMmSIrlGjRp5tt956q05OTvY9P9+/lbh4pInvPJ3rOlIAS5cuzZMeIDk52Zd+27ZtpKSk5EkTGhpKkyZNTnvOgpafcv3b0aNHcblcRERE5Nm+aNEiIiMjqVKlCvfccw8HDhwo0LyfSX7LlZmZSVxcHLGxsXTo0IH169f79hX261UQr9X7779Ply5dCAwMzLO9MF+r/Piv91ZB/K3ExSMB6jyd6zpSACkpKWdMn/vzXM5Z0PJTrn975JFHiImJyfNh0KZNGz744APmz5/PCy+8wPfff0/btm3xeDwFmv/TyU+5qlSpwoQJE/jyyy/56KOPsCyLpk2b8tdffwGF/3qd72u1fPly1q1bx5133plne2G/VvlxuvdWRkYGx44dK5D/a3HxyFRH4oIYNWoUU6dOZdGiRXk6FHTp0sX3e61atahduzYVKlRg0aJFtGrVqjCy+p8SEhJISEjwPW/atCnVqlXj7bff5plnninEnBWM999/n1q1atG4ceM824vjayUuLVKDOk/nuo4UQHR09BnT5/48l3MWtPyUK9dLL73EqFGjmDt3LrVr1z5j2iuuuIKSJUvyxx9/nHeez8b5lCuX3W6nXr16vjwX9ut1PmU6cuQIU6dOpU+fPv95nYv9WuXH6d5bISEh+Pv7F8jrLy4eCVDn6cR1pHLlriN14rfuEyUkJORJDzBv3jxf+vj4eKKjo/OkycjIYNmyZac9Z0HLT7kARo8ezTPPPMPs2bNp2LDhf17nr7/+4sCBA5QuXbpA8v1f8luuE3k8HtauXevLc2G/XudTps8++4zs7Gxuv/32/7zOxX6t8uO/3lsF8fqLi6iwe2lcCqZOnaqdTqeeNGmS3rBhg77rrrt0WFiYryty9+7d9aOPPupLv3jxYm2z2fRLL72kN27cqJ944olTdjMPCwvTX375pV6zZo3u0KFDoXQzP5dyjRo1SjscDv3555/n6Zp8+PBhrbXWhw8f1g899JBeunSp3rZtm/7uu+90/fr1daVKlXRWVlaRLddTTz2l58yZo7du3apXrFihu3Tpov38/PT69evzlL0wX69zLVOuZs2a6VtvvfWk7UXltTp8+LBetWqVXrVqlQb0yy+/rFetWqV37Nihtdb60Ucf1d27d/elz+1m/vDDD+uNGzfqcePGnbKb+Zn+VqLokABVQF5//XVdrlw57XA4dOPGjfXPP//s29eyZUvds2fPPOmnTZumK1eurB0Oh65Ro4b+5ptv8uy3LEsPHz5cR0VFaafTqVu1aqU3b958MYqSx7mUKy4uTgMnPZ544gmttdZHjx7VrVu31qVKldJ2u13HxcXpvn37FsoHw7mUa+DAgb60UVFR+rrrrtMrV67Mc76i8Hqd6//gpk2bNKDnzp170rmKymu1cOHCU/5P5ZalZ8+eumXLlicdU7duXe1wOPQVV1yRZ2xXrjP9rUTRIbOZCyGEKJLkHpQQQogiSQKUEEKIIkkClBBCiCJJApQQQogiSQKUEEKIIkkClBBCiCJJApQQQogiSQKUEEKIIkkClCh0ixYtQilFWlpaYWdFCFGESIASlwWlFF988UVhZ0MIcQ4kQIlCl5OTU9hZOGsul+uyuq4QhUkClLjoEhMTGTBgAAMHDqRkyZIkJycDsGLFCho2bEhAQABNmzZl8+bNeY576623qFChAg6HgypVqvDhhx+e1fXKly8PwI033ohSyvf8bM6plOKtt97ihhtuIDAwkOeee+6M18ptrpw/f/55leVU133yySepW7cuEyZMoFy5cgQFBXHvvffi8XgYPXo00dHRREZG/mcehSg2Cnu2WnH5admypQ4KCtIPP/yw3rRpkx4/frwGdJMmTfSiRYv0+vXrdfPmzXXTpk19x0yfPl3b7XY9btw4vXnzZj1mzBhtmqZesGDBf14vNTVVA3rixIl6z549OjU19azPCejIyEg9YcIEvXXrVt8yD6eTO/v2+ZblVNd94okndFBQkL755pv1+vXr9VdffaUdDodOTk7W9913n960aZOeMGGCBmR2bnFJkAAlLrqWLVvqevXq+Z7nfqh/9913vm3ffPONBnzrKTVt2lT37ds3z3luueUWfd11153VNQE9Y8aMPNvO5pyAHjhw4FldoyDLcqrrPvHEEzogIEBnZGT4tiUnJ+vy5ctrj8fj21alShU9cuTIs86zEEWVNPGJQtGgQYOTtp24PHzuqq2pqakAbNy4kauuuipP+quuuoqNGzfmOw9ne86zWRn43wqiLKe6bvny5QkODvY9j4qKonr16hiGkWdb7rWEKM4kQIlCERgYeNI2u93u+10pBXiX4y5sp8rrfymIsvzX3yj33KfaVhT+bkKcLwlQolioVq0aixcvzrNt8eLFVK9e/ayOt9vteDyeAj1nfhXWdYUobmyFnQEhzsbDDz9M586dqVevHklJSXz99ddMnz6d77777qyOL1++PPPnz+eqq67C6XQSHh5+3ucsrLIIcbmQGpQoFjp27MjYsWN56aWXqFGjBm+//TYTJ04kMTHxrI4fM2YM8+bNIzY2lnr16hXIOfOrsK4rRHGjtNa6sDMhhBBC/JvUoIQQQhRJEqBEsTdlyhSCgoJO+ahRo0aBXqtfv36nvVa/fv0K9FpCXO6kiU8Ue4cPH2bv3r2n3Ge324mLiyuwa6WmppKRkXHKfSEhIURGRhbYtYS43EmAEkIIUSRJE58QQogiSQKUEEKIIkkClBBCiCJJApQQQogiSQKUEEKIIkkClBBCiCJJApQQQogiSQKUEEKIIun/Ex3yXpr/Rg0AAAAASUVORK5CYII=",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 400x300 with 2 Axes>"
       ]
@@ -2577,23 +2594,23 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 13,
    "id": "30121fee",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<xarray.plot.facetgrid.FacetGrid at 0x7f43eb99ade0>"
+       "<xarray.plot.facetgrid.FacetGrid at 0x7fa4a53b1e20>"
       ]
      },
-     "execution_count": 12,
+     "execution_count": 13,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 489.125x300 with 1 Axes>"
       ]
@@ -2622,23 +2639,23 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 14,
    "id": "a62c1361",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "[<matplotlib.lines.Line2D at 0x7f43e9638aa0>]"
+       "[<matplotlib.lines.Line2D at 0x7fa4a30f8200>]"
       ]
      },
-     "execution_count": 13,
+     "execution_count": 14,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -2655,6 +2672,14 @@
     "    hue='time',\n",
     ")"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "433adb59-e10c-4499-bf9d-71b751ac67df",
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
@@ -2673,7 +2698,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.0"
+   "version": "3.12.1"
   }
  },
  "nbformat": 4,
diff --git a/src/imas2xarray/_io.py b/src/imas2xarray/_io.py
index b1acd64..26b2d3a 100644
--- a/src/imas2xarray/_io.py
+++ b/src/imas2xarray/_io.py
@@ -6,7 +6,7 @@
 
 from contextlib import contextmanager
 from pathlib import Path
-from typing import TYPE_CHECKING, Collection
+from typing import TYPE_CHECKING, Iterable
 
 import h5py
 import numpy as np
@@ -64,7 +64,7 @@ def _var_path_to_hdf5_key_and_slices(path: str) -> tuple[str, tuple[slice | int,
 
 def _mapping_to_xarray(
     data_file: h5py.File,
-    variables: Collection[str | IDSVariableModel],
+    variables: Iterable[str | IDSVariableModel],
     missing_ok: bool = False,
     empty_ok: bool = False,
 ) -> xr.Dataset:
@@ -74,7 +74,7 @@ def _mapping_to_xarray(
     ----------
     data_file : h5py.File
         Open hdf5 file
-    variables : Collection[str | IDSVariableModel]]
+    variables : Collection[(str | IDSVariableModel)]]
         List of data variables
     missing_ok : bool
         Ignore missing variables from dataset
@@ -116,7 +116,7 @@ def _mapping_to_xarray(
 
 
 def to_xarray(
-    path: str | Path, *, ids: str, variables: None | Collection[str] = None
+    path: str | Path, *, ids: str, variables: None | Iterable[str | IDSVariableModel] = None
 ) -> xr.Dataset:
     """Load IDS from given path to IMAS data into an xarray dataset.
 
@@ -128,7 +128,7 @@ def to_xarray(
         Path to the data
     ids : str
         The IDS to load (i.e. 'core_profiles')
-    variables : None | list[str], optional
+    variables : None | Iterable[str | Variable], optional
         List of variables to load. If None, attempt to load
         all variables known to `imas2xarray`
 
@@ -146,7 +146,11 @@ def to_xarray(
 
 
 def to_imas(
-    path: str | Path, dataset: xr.Dataset, *, ids: str, variables: None | Collection[str] = None
+    path: str | Path,
+    dataset: xr.Dataset,
+    *,
+    ids: str,
+    variables: None | Iterable[str | IDSVariableModel] = None,
 ):
     """Write variables in xarray dataset back to IMAS data at given path.
 
@@ -160,7 +164,7 @@ def to_imas(
         Input dataset
     ids : str
         The IDS to write to (i.e. 'core_profiles')
-    variables : Collection[str]
+    variables : Iterable[str | Variable]
         List of variables to write back. If None, attempt to write back
         all variables known to `imas2xarray`
     """
@@ -196,7 +200,7 @@ def get_all_variables(
         self,
         *,
         ids: str,
-        extra_variables: None | Collection[IDSVariableModel] = None,
+        extra_variables: None | Iterable[IDSVariableModel] = None,
         squash: bool = True,
         **kwargs,
     ) -> xr.Dataset:
@@ -209,7 +213,7 @@ def get_all_variables(
         ----------
         ids : str
             The IDS to write to (i.e. 'core_profiles')
-        extra_variables : Collection[IDSVariableModel]
+        extra_variables : Iterable[Variable]
             Extra variables to load in addition to the ones known through the config
         squash : bool
             Squash placeholder variables
@@ -229,7 +233,7 @@ def get_all_variables(
 
     def get_variables(
         self,
-        variables: Collection[str | IDSVariableModel],
+        variables: Iterable[str | IDSVariableModel],
         *,
         ids: str,
         squash: bool = True,
@@ -243,7 +247,7 @@ def get_variables(
 
         Parameters
         ----------
-        variables : Collection[Union[str, IDSVariableModel]]
+        variables : Iterable[str | Variable]
             Variable names of the data to load.
         ids : str
             The IDS to write to (i.e. 'core_profiles')
@@ -281,7 +285,11 @@ def get_variables(
         return ds
 
     def set_variables(
-        self, dataset: xr.Dataset, *, ids: str, variables: None | Collection[str] = None
+        self,
+        dataset: xr.Dataset,
+        *,
+        ids: str,
+        variables: None | Iterable[str | IDSVariableModel] = None,
     ):
         """Update variables in corresponding ids datafile.
 
@@ -292,7 +300,7 @@ def set_variables(
             target dataset.
         ids : str
             IDS to write to.
-        variables : Collection[str], optional
+        variables : Iterable[str | Variable], optional
             List of data variables to write.
         """
         if not variables:
diff --git a/src/imas2xarray/_lookup.py b/src/imas2xarray/_lookup.py
index 4a0b00e..176567c 100644
--- a/src/imas2xarray/_lookup.py
+++ b/src/imas2xarray/_lookup.py
@@ -6,7 +6,7 @@
 import sys
 from collections import UserDict
 from pathlib import Path, PosixPath
-from typing import Any, Collection, Hashable
+from typing import Any, Hashable, Iterable
 
 from pydantic_yaml import parse_yaml_raw_as
 
@@ -80,13 +80,13 @@ def groupby_ids(self) -> dict[Hashable, list[IDSVariableModel]]:
         return grouped_ids_vars
 
     def lookup(
-        self, variables: Collection[(str | IDSVariableModel)], skip_missing: bool = False
+        self, variables: Iterable[(str | IDSVariableModel)], skip_missing: bool = False
     ) -> set[IDSVariableModel]:
         """Helper function to look up a bunch of variables.
 
         Parameters
         ----------
-        variables : Collection[(str | IDSVariableModel)]
+        variables : Iterable[(str | IDSVariableModel)]
             List of variables to load. If str, look up the variable from the `var_lookup`.
             Else, ensure the variable is an `IDSVariableModel`.
         skip_missing : bool
diff --git a/src/imas2xarray/_rebase.py b/src/imas2xarray/_rebase.py
index ab76f3e..4a564d8 100644
--- a/src/imas2xarray/_rebase.py
+++ b/src/imas2xarray/_rebase.py
@@ -10,7 +10,7 @@
 logger = logging.getLogger(__name__)
 
 
-def rezero_time(ds: xr.Dataset, *, start: int = 0) -> None:
+def rezero_time(ds: xr.Dataset, *, start: int = 0, key: str = 'time') -> None:
     """Standardize the time within a dataset by setting the first timestep to
     0.
 
@@ -21,10 +21,12 @@ def rezero_time(ds: xr.Dataset, *, start: int = 0) -> None:
     ----------
     ds : xr.Dataset
         Source dataset
+    key : str
+        Name of the time dimension
     start : int, optional
         Where to start the returned time series
     """
-    ds['time'] = ds['time'] - ds['time'][0] + start
+    ds[key] = ds[key] - ds[key][0] + start
 
 
 def squash_placeholders(ds: xr.Dataset) -> xr.Dataset: