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 "cells": [
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    "# 3D *tobac* Tutorial: Gridded Radar Data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This tutorial will demonstrate how to use *tobac* to detect and track convection with gridded radar data. Because this tutorial uses 3D feature detection, you must use the v1.5 (3D and PBC changes) of *tobac*. \n",
    "\n",
    "\n",
    "This tutorial requires the use of pre-gridded radar data, which we generated during the Py-ART tutorial."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Imports"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "tags": []
   },
   "outputs": [
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     "text": [
      "\n",
      "## You are using the Python ARM Radar Toolkit (Py-ART), an open source\n",
      "## library for working with weather radar data. Py-ART is partly\n",
      "## supported by the U.S. Department of Energy as part of the Atmospheric\n",
      "## Radiation Measurement (ARM) Climate Research Facility, an Office of\n",
      "## Science user facility.\n",
      "##\n",
      "## If you use this software to prepare a publication, please cite:\n",
      "##\n",
      "##     JJ Helmus and SM Collis, JORS 2016, doi: 10.5334/jors.119\n",
      "\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import cartopy.crs as ccrs\n",
    "import cartopy.feature as cfeature\n",
    "import xarray as xr\n",
    "import pyart\n",
    "import glob\n",
    "import datetime\n",
    "import matplotlib.gridspec as gridspec\n",
    "import pandas as pd\n",
    "import os\n",
    "import math\n",
    "from cartopy.mpl.ticker import LongitudeFormatter, LatitudeFormatter"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### DATA INPUT:\n",
    "https://tobac.readthedocs.io/en/latest/data_input.html\n",
    "\n",
    "We use the gridded data from the Py-ART tutorial."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "gridded_files = sorted(glob.glob(\"../../data/uah-armor/gridded/*.nc\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {
    "tags": []
   },
   "outputs": [
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       "Dimensions:       (time: 25, z: 30, y: 600, x: 600)\n",
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       "    reflectivity  (time, z, y, x) float32 dask.array&lt;chunksize=(1, 30, 600, 600), meta=np.ndarray&gt;\n",
       "    ROI           (time, z, y, x) float32 dask.array&lt;chunksize=(1, 30, 600, 600), meta=np.ndarray&gt;</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-a9fc2cd9-2139-4cd8-9557-14e651774e81' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a9fc2cd9-2139-4cd8-9557-14e651774e81' 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>: 25</li><li><span class='xr-has-index'>z</span>: 30</li><li><span class='xr-has-index'>y</span>: 600</li><li><span class='xr-has-index'>x</span>: 600</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-d3c37564-3dde-42bb-a609-90fb260a9702' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d3c37564-3dde-42bb-a609-90fb260a9702' class='xr-section-summary' >Coordinates: <span>(6)</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'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2008-04-11T18:12:23 ... 2008-04-...</div><input id='attrs-564ca07b-39db-4472-a374-c048a3f3badd' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-564ca07b-39db-4472-a374-c048a3f3badd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-88cad2c0-88b2-4bf9-ad0c-ae69cc08c285' class='xr-var-data-in' type='checkbox'><label for='data-88cad2c0-88b2-4bf9-ad0c-ae69cc08c285' 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;2008-04-11T18:12:23.000000000&#x27;, &#x27;2008-04-11T18:17:23.000000000&#x27;,\n",
       "       &#x27;2008-04-11T18:22:42.000000000&#x27;, &#x27;2008-04-11T18:27:41.000000000&#x27;,\n",
       "       &#x27;2008-04-11T18:33:08.000000000&#x27;, &#x27;2008-04-11T18:38:35.000000000&#x27;,\n",
       "       &#x27;2008-04-11T18:44:18.000000000&#x27;, &#x27;2008-04-11T18:49:44.000000000&#x27;,\n",
       "       &#x27;2008-04-11T18:55:11.000000000&#x27;, &#x27;2008-04-11T19:00:23.000000000&#x27;,\n",
       "       &#x27;2008-04-11T19:05:35.000000000&#x27;, &#x27;2008-04-11T19:10:47.000000000&#x27;,\n",
       "       &#x27;2008-04-11T19:15:59.000000000&#x27;, &#x27;2008-04-11T19:21:11.000000000&#x27;,\n",
       "       &#x27;2008-04-11T19:26:22.000000000&#x27;, &#x27;2008-04-11T19:31:35.000000000&#x27;,\n",
       "       &#x27;2008-04-11T19:36:46.000000000&#x27;, &#x27;2008-04-11T19:41:59.000000000&#x27;,\n",
       "       &#x27;2008-04-11T19:47:10.000000000&#x27;, &#x27;2008-04-11T19:52:22.000000000&#x27;,\n",
       "       &#x27;2008-04-11T19:57:34.000000000&#x27;, &#x27;2008-04-11T20:04:21.000000000&#x27;,\n",
       "       &#x27;2008-04-11T20:09:49.000000000&#x27;, &#x27;2008-04-11T20:15:30.000000000&#x27;,\n",
       "       &#x27;2008-04-11T20:20:58.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>z</span></div><div class='xr-var-dims'>(z)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 517.2 ... 1.448e+04 1.5e+04</div><input id='attrs-3afa68a4-31c8-4bc9-9b91-20c0e0e0c311' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3afa68a4-31c8-4bc9-9b91-20c0e0e0c311' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7e3d926c-5950-4826-9b8c-8f14480c826c' class='xr-var-data-in' type='checkbox'><label for='data-7e3d926c-5950-4826-9b8c-8f14480c826c' 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'><dt><span>standard_name :</span></dt><dd>projection_z_coordinate</dd><dt><span>long_name :</span></dt><dd>Z distance on the projection plane from the origin</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>positive :</span></dt><dd>up</dd></dl></div><div class='xr-var-data'><pre>array([    0.      ,   517.241379,  1034.482759,  1551.724138,  2068.965517,\n",
       "        2586.206897,  3103.448276,  3620.689655,  4137.931034,  4655.172414,\n",
       "        5172.413793,  5689.655172,  6206.896552,  6724.137931,  7241.37931 ,\n",
       "        7758.62069 ,  8275.862069,  8793.103448,  9310.344828,  9827.586207,\n",
       "       10344.827586, 10862.068966, 11379.310345, 11896.551724, 12413.793103,\n",
       "       12931.034483, 13448.275862, 13965.517241, 14482.758621, 15000.      ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(600, 600), meta=np.ndarray&gt;</div><input id='attrs-60a15d15-edb5-4ccb-be0d-55c260c5a23b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-60a15d15-edb5-4ccb-be0d-55c260c5a23b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-869ca783-263a-4f84-b057-7e0d6ea72d76' class='xr-var-data-in' type='checkbox'><label for='data-869ca783-263a-4f84-b057-7e0d6ea72d76' 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'><dt><span>long_name :</span></dt><dd>latitude of grid cell center</dd><dt><span>units :</span></dt><dd>degree_N</dd><dt><span>standard_name :</span></dt><dd>Latitude</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.75 MiB </td>\n",
       "                        <td> 2.75 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (600, 600) </td>\n",
       "                        <td> (600, 600) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 120 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(600, 600), meta=np.ndarray&gt;</div><input id='attrs-9c7f8253-703d-401e-85ad-dbb5a7eb66c1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9c7f8253-703d-401e-85ad-dbb5a7eb66c1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-375a45c5-e711-4c84-be85-7dbb3dcc8a8c' class='xr-var-data-in' type='checkbox'><label for='data-375a45c5-e711-4c84-be85-7dbb3dcc8a8c' 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'><dt><span>long_name :</span></dt><dd>longitude of grid cell center</dd><dt><span>units :</span></dt><dd>degree_E</dd><dt><span>standard_name :</span></dt><dd>Longitude</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.75 MiB </td>\n",
       "                        <td> 2.75 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (600, 600) </td>\n",
       "                        <td> (600, 600) </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 120 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-1.5e+05 -1.495e+05 ... 1.5e+05</div><input id='attrs-bcb5bfbd-84ae-4dbd-bcb9-505a7ab9c48c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bcb5bfbd-84ae-4dbd-bcb9-505a7ab9c48c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-84d7fe84-0a27-4d79-9673-6f19ff5b5d12' class='xr-var-data-in' type='checkbox'><label for='data-84d7fe84-0a27-4d79-9673-6f19ff5b5d12' 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'><dt><span>standard_name :</span></dt><dd>projection_y_coordinate</dd><dt><span>long_name :</span></dt><dd>Y distance on the projection plane from the origin</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array([-150000.      , -149499.165275, -148998.330551, ...,  148998.330551,\n",
       "        149499.165275,  150000.      ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-1.5e+05 -1.495e+05 ... 1.5e+05</div><input id='attrs-25ace727-19e0-49a4-a807-8651e1cc720d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-25ace727-19e0-49a4-a807-8651e1cc720d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0351a6a0-b5dc-42d3-974c-2520c60dabee' class='xr-var-data-in' type='checkbox'><label for='data-0351a6a0-b5dc-42d3-974c-2520c60dabee' 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'><dt><span>standard_name :</span></dt><dd>projection_x_coordinate</dd><dt><span>long_name :</span></dt><dd>X distance on the projection plane from the origin</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array([-150000.      , -149499.165275, -148998.330551, ...,  148998.330551,\n",
       "        149499.165275,  150000.      ])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-361d9f83-8a9e-4704-8b40-2556e5893d8b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-361d9f83-8a9e-4704-8b40-2556e5893d8b' 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>reflectivity</span></div><div class='xr-var-dims'>(time, z, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 30, 600, 600), meta=np.ndarray&gt;</div><input id='attrs-009d91fe-e5d3-4a94-8cbf-f94c62e9cf43' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-009d91fe-e5d3-4a94-8cbf-f94c62e9cf43' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-548d22f7-0ba1-4f02-abaf-272389d40585' class='xr-var-data-in' type='checkbox'><label for='data-548d22f7-0ba1-4f02-abaf-272389d40585' 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'><dt><span>units :</span></dt><dd>dBZ</dd><dt><span>standard_name :</span></dt><dd>equivalent_reflectivity_factor</dd><dt><span>long_name :</span></dt><dd>Reflectivity</dd><dt><span>coordinates :</span></dt><dd>elevation azimuth range</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
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       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 1.01 GiB </td>\n",
       "                        <td> 41.20 MiB </td>\n",
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       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (25, 30, 600, 600) </td>\n",
       "                        <td> (1, 30, 600, 600) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 25 chunks in 51 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ROI</span></div><div class='xr-var-dims'>(time, z, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 30, 600, 600), meta=np.ndarray&gt;</div><input id='attrs-c605e757-d0cc-48e1-8338-6e199ee6156d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c605e757-d0cc-48e1-8338-6e199ee6156d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a41c3a5a-bbe5-47e0-9669-c71f59cd19c7' class='xr-var-data-in' type='checkbox'><label for='data-a41c3a5a-bbe5-47e0-9669-c71f59cd19c7' 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'><dt><span>standard_name :</span></dt><dd>radius_of_influence</dd><dt><span>long_name :</span></dt><dd>Radius of influence for mapping</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 1.01 GiB </td>\n",
       "                        <td> 41.20 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (25, 30, 600, 600) </td>\n",
       "                        <td> (1, 30, 600, 600) </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 25 chunks in 51 graph layers </td>\n",
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       "                    <tr>\n",
       "                        <th> Data type </th>\n",
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       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-42ed80d4-7b2f-4463-ab3b-402e6dbb6f25' class='xr-section-summary-in' type='checkbox'  ><label for='section-42ed80d4-7b2f-4463-ab3b-402e6dbb6f25' 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-9df8c42d-24a9-46ca-9bc1-693b95f01751' class='xr-index-data-in' type='checkbox'/><label for='index-9df8c42d-24a9-46ca-9bc1-693b95f01751' 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(DatetimeIndex([&#x27;2008-04-11 18:12:23&#x27;, &#x27;2008-04-11 18:17:23&#x27;,\n",
       "               &#x27;2008-04-11 18:22:42&#x27;, &#x27;2008-04-11 18:27:41&#x27;,\n",
       "               &#x27;2008-04-11 18:33:08&#x27;, &#x27;2008-04-11 18:38:35&#x27;,\n",
       "               &#x27;2008-04-11 18:44:18&#x27;, &#x27;2008-04-11 18:49:44&#x27;,\n",
       "               &#x27;2008-04-11 18:55:11&#x27;, &#x27;2008-04-11 19:00:23&#x27;,\n",
       "               &#x27;2008-04-11 19:05:35&#x27;, &#x27;2008-04-11 19:10:47&#x27;,\n",
       "               &#x27;2008-04-11 19:15:59&#x27;, &#x27;2008-04-11 19:21:11&#x27;,\n",
       "               &#x27;2008-04-11 19:26:22&#x27;, &#x27;2008-04-11 19:31:35&#x27;,\n",
       "               &#x27;2008-04-11 19:36:46&#x27;, &#x27;2008-04-11 19:41:59&#x27;,\n",
       "               &#x27;2008-04-11 19:47:10&#x27;, &#x27;2008-04-11 19:52:22&#x27;,\n",
       "               &#x27;2008-04-11 19:57:34&#x27;, &#x27;2008-04-11 20:04:21&#x27;,\n",
       "               &#x27;2008-04-11 20:09:49&#x27;, &#x27;2008-04-11 20:15:30&#x27;,\n",
       "               &#x27;2008-04-11 20:20:58&#x27;],\n",
       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>z</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-aaeca182-87da-43d0-8c3a-9a673ad3f588' class='xr-index-data-in' type='checkbox'/><label for='index-aaeca182-87da-43d0-8c3a-9a673ad3f588' 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(Float64Index([               0.0,  517.2413793103449, 1034.4827586206898,\n",
       "              1551.7241379310346, 2068.9655172413795, 2586.2068965517246,\n",
       "              3103.4482758620693,  3620.689655172414,  4137.931034482759,\n",
       "               4655.172413793104,  5172.413793103449, 5689.6551724137935,\n",
       "               6206.896551724139,  6724.137931034484,  7241.379310344828,\n",
       "               7758.620689655173,  8275.862068965518,  8793.103448275862,\n",
       "               9310.344827586208,  9827.586206896553, 10344.827586206899,\n",
       "              10862.068965517243, 11379.310344827587, 11896.551724137933,\n",
       "              12413.793103448277, 12931.034482758621, 13448.275862068967,\n",
       "              13965.517241379312, 14482.758620689656,            15000.0],\n",
       "             dtype=&#x27;float64&#x27;, name=&#x27;z&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-4ef0166e-daee-4d9b-88c1-26111edeb2bf' class='xr-index-data-in' type='checkbox'/><label for='index-4ef0166e-daee-4d9b-88c1-26111edeb2bf' 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(Float64Index([          -150000.0,  -149499.1652754591,  -148998.3305509182,\n",
       "               -148497.4958263773,  -147996.6611018364, -147495.82637729548,\n",
       "               -146994.9916527546,  -146494.1569282137, -145993.32220367278,\n",
       "              -145492.48747913187,\n",
       "              ...\n",
       "                145492.4874791319,  145993.32220367278,  146494.15692821366,\n",
       "                146994.9916527546,  147495.82637729548,  147996.66110183642,\n",
       "                148497.4958263773,  148998.33055091818,  149499.16527545912,\n",
       "                         150000.0],\n",
       "             dtype=&#x27;float64&#x27;, name=&#x27;y&#x27;, length=600))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-0e36f125-0234-4fe5-82be-842f9032e24d' class='xr-index-data-in' type='checkbox'/><label for='index-0e36f125-0234-4fe5-82be-842f9032e24d' 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(Float64Index([          -150000.0,  -149499.1652754591,  -148998.3305509182,\n",
       "               -148497.4958263773,  -147996.6611018364, -147495.82637729548,\n",
       "               -146994.9916527546,  -146494.1569282137, -145993.32220367278,\n",
       "              -145492.48747913187,\n",
       "              ...\n",
       "                145492.4874791319,  145993.32220367278,  146494.15692821366,\n",
       "                146994.9916527546,  147495.82637729548,  147996.66110183642,\n",
       "                148497.4958263773,  148998.33055091818,  149499.16527545912,\n",
       "                         150000.0],\n",
       "             dtype=&#x27;float64&#x27;, name=&#x27;x&#x27;, length=600))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8ef92468-9fa1-42e5-b331-43c368d55700' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8ef92468-9fa1-42e5-b331-43c368d55700' 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: 25, z: 30, y: 600, x: 600)\n",
       "Coordinates:\n",
       "  * time          (time) datetime64[ns] 2008-04-11T18:12:23 ... 2008-04-11T20...\n",
       "  * z             (z) float64 0.0 517.2 1.034e+03 ... 1.448e+04 1.5e+04\n",
       "    lat           (y, x) float64 dask.array<chunksize=(600, 600), meta=np.ndarray>\n",
       "    lon           (y, x) float64 dask.array<chunksize=(600, 600), meta=np.ndarray>\n",
       "  * y             (y) float64 -1.5e+05 -1.495e+05 ... 1.495e+05 1.5e+05\n",
       "  * x             (x) float64 -1.5e+05 -1.495e+05 ... 1.495e+05 1.5e+05\n",
       "Data variables:\n",
       "    reflectivity  (time, z, y, x) float32 dask.array<chunksize=(1, 30, 600, 600), meta=np.ndarray>\n",
       "    ROI           (time, z, y, x) float32 dask.array<chunksize=(1, 30, 600, 600), meta=np.ndarray>"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds = xr.open_mfdataset(gridded_files).squeeze()\n",
    "ds"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### *tobac* is designed to work with **gridded** data currently, so using pre-gridded data, or data we must first grid the radial radar data. This is a quick and dirty gridding, but it will get the job done for this tutorial. Much better gridding results could be had with tuning of the parameters. \n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Let's Look at the data - there's a number of ways to do a quick look, we're going to use pcolormesh. We can look at a specific level of the data, or create a composite reflectivity. Let's do both!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x2a2cdd2d0>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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gnRGE/j760Y9y7rnnctRRR/H1r3+df/7zn/t8X9vj4osv5le/+hWLFy/eZaOuu7ubM844A8dx+Nvf/rZNztlA1NbWDpgLtzVDuSGQUnL55Zdz//33M3fuXD772c8Oet2t+ehHP8pBBx3E4sWLw2VDeb+qqqpYvnz5NjdBn/nMZ7juuut49dVX+dSnPjWk37Szzz57m5vSc845h7POOosrr7xywPUrKioQQgzqex6QTCbDnNlPfOITHHfccRx//PH89re/5d/+7d8G3M9g2Ho/oH6Td/a7r/ngoY06zaAYNmwYAP/zP/+zU6mHgVizZg3jxo0b1NhnnnlmUMneTzzxBOeeey5Tpkzh4YcfHtBDcdhhh/H6669vszxYNnny5H5/X3/9dc4444xtxgavAyxdupSRI0eGBl1AcHEI8u8GuhAMdV7Lli2js7OTCRMmbDP2u9/9Lt/97nd57bXXOPLII7fZ12DP9/uFpUuXAtteZMvLyxk/fny/vMahYFkWRx99NP/93//9nuxrewQG/q4WpziOw+c+9zlWrlzJ//3f/zFq1KhBrXfrrbdyyy237HRcfX09a9as2em4wKCbPXs29957LxdffPGg5rGzbfY9L0N5vw4//PB+BmHfbULv+R7Kb1pVVVV44xcQiUSoq6vbbuFSPB5n/Pjx2/2ex+NxDjjggB3u95hjjsEwDN59990djtNoArRR9wEmCI9ks9m9vq/TTz8dy7JYuXIln/vc54a8/p4Ovz755JOce+65fOxjH+ORRx7ZbqjovPPO4+qrr+all17iuOOOA1Qo7f777+e4444LQw8jR47kox/9KPfffz833nhj6C1cvHgx77zzDtddd12/Y3n66afZuHEjI0eODJcvWrQIILy4DnQhGOq8vv3tb2/jbdu8eTNf+tKXuOqqq/jiF7/I+PHjAXapKvb9RHDMixcv7neRbW1t5d133+XUU0/dpe3mcjkWL14cnqd9va/tMW/ePACOP/74XdrXZZddxrPPPsvf/va3AZPxt8eeDL9KKbniiiuYPXs2v/3tbwcMUQ6VxYsXs3z5cq699tpw2VDer8997nPcc889/O1vf+vnAX3ssceA3vO9u79pg+G8887jzjvvZP369WE4uru7mz/+8Y+cc845O61qfe655/B9f1CfJ40GtFH3geawww4D4Be/+AUzZszAtm0mTpxIaWnpHt/X2LFjufXWW/nOd77DqlWr+PSnP01FRQVNTU384x//IJlM7vDuPxKJ7DGj44UXXuDcc8+ltraWf//3fw/v4gMOOeSQUPj20ksv5a677uKCCy7gxz/+McOHD+fXv/4177zzDk899VS/9W677TamTp3KBRdcwNVXX01zczPf/va3mTx5cr+L1TXXXENDQwNTp07l29/+dphT94Mf/ICamhqmTZu202MY7LwOPvhgDj744H7rBt6TAw88cNDyFS+//HK4XldXF1LKsAPHscce2+9CGSwPKvNefvllSkpKAPqFvgZLJpMJL6iBB+W5555jy5YtJJNJPvOZzwBw/vnn8x//8R989atfZcOGDRx99NE0Njbyk5/8hEwmw9e//vV+27UsiylTpvTrwnHiiSdyzjnnMGnSJMrKylizZg2/+c1vWLlyZT9Zmn25rwceeIA//vGPnHnmmdTX19PR0cFDDz3Egw8+yMyZMzniiCP67UsIwZQpU7bbdQPgJz/5CfPnz+drX/sayWSyn2cqlUpxyCGHbHfdurq6fnlUu8O1117Lvffey6WXXsphhx3Wbx7RaLSfUXXqqafy3HPP9ctfO+KII7j44ouZNGkSsViMf/zjH/zkJz+htraWb37zm+G4obxfp512GmeffTa33norvu9z/PHH8/LLL3PLLbdw1lln8bGPfQzY/d+0wXDjjTcyf/58zjzzTG699Vai0Sg//vGPyeVy3HzzzeG4v/71r/zud7/jnHPOob6+HsdxePnll7nzzjsZP378NkoEGs12eY8KNDR7iJtuuknW1dVJwzD6VRVur/p16wrFZ555RgLyoYce6rd8e5VOjzzyiDzllFNkKpWS0WhU1tfXy89//vPbCPHuTXZWvbd1ZeXmzZvlJZdcIisrK2UsFpPHH3+8XLhw4YDbfvLJJ+Xxxx8vY7GYrKyslJdccsmAAquvvvqqPO+88+SoUaNkNBqVBxxwgLz88ssHVfG3K/Pqy65Uv86YMWO752vr6tYdndtdmc+OKp+3rrBsbGyU/9//9//J8ePHy1gsJuvq6uSZZ545YFUysE0V7w033CCPOOIIWVZWJi3LkrW1tfK8886Tf//737dZf1/ta9GiRfLUU0+VtbW10rZtmUgk5LHHHit//etf96tEl1JVXgLywgsvHPBcBuzo/RxMZfOeor6+ftDvbVCF2ZcLL7xQjh8/XiaTSWnbtqyvr5dXXXWV3LRp0zb7Gsr7lclk5Le+9S05evRoaVmWHDNmjLzpppsGrE7f1d+0wYgPSynlihUr5LnnnitTqZRMJBLy1FNPla+88kq/MW+99Zb8/Oc/L+vr62UsFpOxWEwefPDB8hvf+IZsbW3d6T52Vv166KGHDjj/gQSxAXnNNddsdx+6+vX9jZByF0XBNBqNRrNHeeyxxzjrrLP45z//GXriNZqdMWfOHL785S+zYsUK6uvr96j4tSxW8c+bN4/LLruMJUuWfOBTPT7M6PCrRqPRvE945plnuPDCC7VBp9klgty7lpaWsBBkd/nTn/7Eeeedt0e2pdn7aE+dRqPRaDQfYFpbW1m9enX4POiksSfo6OhgxYoV4fNDDjlktzTzNHsXbdRpNBqNRqPRfAjYr3q/Pv/885x99tnU1dUhhOCRRx7p9/rMmTO3aY69tdxAPp/na1/7GsOGDSOZTHLOOeewYcOGfmPa29uZPn06ZWVllJWVMX369FA4NmDdunWcffbZJJNJhg0bxrXXXkuhUOg35vXXX2fKlCnE43FGjhzJrbfeust9UTUajUaj2V8ZO3bsNtd3IUTYp1lKyc0330xdXR3xeJyTTz55mx7cHwT2K6Oup6eHI444gl/96lfbHfPpT3+axsbG8BFIMQRcd911LFiwgAcffJAXXniBdDrNWWed1a8d1EUXXcTSpUt5/PHHefzxx1m6dGm/djie53HmmWfS09PDCy+8wIMPPsjDDz/MDTfcEI7p6upi6tSpob7bf/7nf/LTn/40bNqt0Wg0Go1mcCxZsqTftX3hwoUAXHDBBQDcfvvt3HHHHfzqV79iyZIl1NbWMnXqVLq7u9/LaQ+d96zu9j0GkAsWLOi3bMaMGfKzn/3sdtfp6OiQtm3LBx98MFy2ceNGaRhG2Gz9zTfflIBcvHhxOCZo0vz2229LKaV87LHHpGEY/Rop/+EPf5DRaFR2dnZKKaX89a9/LcvKyvqV4P/oRz+SdXV1YUNqjUaj0Wg0Q+frX/+6PPDAA6Xv+9L3fVlbWyt//OMfh6/ncjlZVlYm77777vdwlkNHV79uxbPPPsvw4cMpLy9nypQp/PCHPwz7JL7yyis4jsNpp50Wjq+rq2Py5Mm8+OKLnH766SxatIiysrKwSwAoBfOysjJefPFFJk6cyKJFi5g8eXI/AdDTTz+dfD7PK6+8wimnnMKiRYuYMmVKP1X3008/nZtuumm7Lbfy+Tz5fD587vs+bW1tVFVVfeAau2s0Go1m3yKlpLu7m7q6ul1uXzcYcrncNulGu4KUcptrWzQa3Wk3lEKhwP3338/111+PEIJVq1axefPmftf2aDTKlClTePHFF/nKV76y23PdV2ijrg+f+cxnuOCCC6ivr2f16tV897vf5ZOf/CSvvPIK0WiUzZs3E4lEqKio6LdeTU0NmzdvBlQLp4GaZQ8fPrzfmJqamn6vV1RUEIlE+o0ZO3bsNvsJXhvIqPvRj3602wroGo1Go9m/Wb9+/aB7CQ+VXC5HbbyMTnbfqCspKSGdTvdb9r3vfa9ft46BeOSRR+jo6AhbMAbX3a2vyzU1Naxdu3a357kv0UZdH774xS+G/0+ePJljjjmG+vp6Hn30Uc4///ztrrf13cJAXrE9MUYWiyS253W76aabuP7668PnnZ2djBkzhvXr14dtszQajUajGYiuri5Gjx69V1pNBhQKBTopcIdxEvHdMEGyuFyf/vs217fB9Cy+9957+cxnPrNNu7yBrrkftCiXNup2wIgRI6ivr2f58uUA1NbWUigUaG9v7+eta25u5sQTTwzHNDU1bbOtlpaW8C6gtraWl156qd/r7e3tOI7Tb0xw99B3P7Dt3UTA9tzOqVRKG3UajUajGRT7wpCJYxEXu2GCFIUghnp9W7t2LU899RR//OMfw2W1tbWA8tiNGDEiXN7c3Lzd6+37lf2q+nWotLa2sn79+vBN/shHPoJt22HVDEBjYyPLli0LjboTTjiBzs5O/vGPf4RjXnrpJTo7O/uNWbZsGY2NjeGYJ598kmg0ykc+8pFwzPPPP98v7+DJJ5+krq5um7CsRqPRaDQfJAxz9x+7wuzZsxk+fDhnnnlmuGzcuHHU1tb2u7YXCgWee+658Lr9QWG/MurS6TRLly5l6dKlAKxevZqlS5eybt060uk0N954I4sWLWLNmjU8++yznH322QwbNixskVJWVsZll13GDTfcwNNPP81rr73GxRdfzGGHHcanPvUpACZNmsSnP/1prrjiChYvXszixYu54oorOOuss5g4cSIAp512GocccgjTp0/ntdde4+mnn+bGG2/kiiuuCO84LrroIqLRKDNnzmTZsmUsWLCAWbNmhYmdGo1Go9F8UBGGwNiNhzCGfh30fZ/Zs2czY8aMfh03hBBcd911zJo1iwULFrBs2TJmzpxJIpHgoosu2pOHvdfZr8KvL7/8Mqecckr4PMg/mzFjBr/5zW94/fXXmTdvHh0dHYwYMYJTTjmF//qv/+qXX/Dzn/8cy7L4whe+QDab5dRTT2XOnDmYZu9tQ0NDA9dee21YSXPOOef008YzTZNHH32Uq6++mpNOOol4PM5FF13ET3/603BMWVkZCxcu5JprruGYY46hoqKC66+/vl/OnEaj0Wg0msHx1FNPsW7dOi699NJtXvvmN79JNpvl6quvpr29neOOO44nn3xyr+YX7g10m7APMV1dXZSVldHZ2alz6jQajUazQ/bFNSPYx72Jk0nsRk5dRrpclnlWX9+2Yr/y1Gk0Go1Go3nvMQyBsRupRIbUaUgDsV/l1Gk0Go1Go9F8WNGeOo1Go9FoNPsUw4BdqHXoXV8njg2INuo0Go1Go9HsUwxTh1/3Btqo02g0Go1Gs08xhPLW7fL6/p6by4cJnVOn0Wg0Go1G8yFAe+o0Go1Go9HsUwxTiQjv8vpahH9AtFGn0Wg0Go1mn2Ia6rHL6++5qXyo0OFXjUaj0Wg0mg8B2lOn0Wg0Go1mnxL0cN3l9dHh14HQRp1Go9FoNJp9ijB3r/pVp9QNjA6/ajQajUaj0XwI0J46jUaj0Wg0+xTDYDfDr5qB0EadRqPRaDSafYoy6nZj/T03lQ8V+rxoNBqNRqPRfAjQnjqNRqPRaDT7FMMQGKauft3TaKNOo9FoNBrNPmW3xYflnpvLhwlt1Gk0Go1Go9mnGKb21O0NdE6dRqPRaDQazYcA7anTaDQajUazT9nt6lcdfh0QbdRpNBqNRqPZp+x2mzCpw68DocOvGo1Go9FoNB8CtKdOo9FoNBrNPkWYYJi7sf6em8qHCm3UaTQajUaj2afo8OveQYdfNRqNRqPRaD4EaE+dRqPRaDSafYqxm+FX7ZEaGG3UaTQajUaj2aeYQmDuRvjV9HX4dSC0savRaDQajUbzIUB76jQajUaj0exTdlt8WLukBkQbdRqNRqPRaPYpu937VVe/Doi2dTUajUaj0exTAk/d7jyGysaNG7n44oupqqoikUhw5JFH8sorr4SvSym5+eabqaurIx6Pc/LJJ/PGG2/swaPe+2ijTqPRaDQazYea9vZ2TjrpJGzb5m9/+xtvvvkmP/vZzygvLw/H3H777dxxxx386le/YsmSJdTW1jJ16lS6u7vfu4kPER1+1Wg0Go1Gs08RhkQYcrfWHwq33XYbo0ePZvbs2eGysWPHhv9LKbnzzjv5zne+w/nnnw/A3Llzqamp4YEHHuArX/nKLs91X6I9dRqNRqPRaPYpwtj9B0BXV1e/Rz6fH3B/f/7znznmmGO44IILGD58OEcddRS/+93vwtdXr17N5s2bOe2008Jl0WiUKVOm8OKLL+7Vc7En0UadRqN5z/jzmvtZsPr+93oaGo3mA8ro0aMpKysLHz/60Y8GHLdq1Sp+85vfMGHCBJ544gmuuuoqrr32WubNmwfA5s2bAaipqem3Xk1NTfjaBwEdftVoNHuEh1Y2cMGB04a0jqMFRDWa/RIhJELsRvi1uO769etJpVLh8mg0OuB43/c55phjmDVrFgBHHXUUb7zxBr/5zW+45JJL+my3/2+SlHKbZe9ntKdOo9HsMg+uaACUQbcr+FI9NHuOwXg+n900l5eaZ+90nEazt9hT4ddUKtXvsT2jbsSIERxyyCH9lk2aNIl169YBUFtbC7CNV665uXkb7937Ge2p02g0u4wnoWF5A9MmTNslw26onj3Njnm+cS5VMfW3MupiCkmXY3JQWQTbiFFif47GzG+ZUKa8pO35Bgxh4kuPiqh+LzQfXk466STeeeedfsveffdd6uvrARg3bhy1tbUsXLiQo446CoBCocBzzz3Hbbfdts/nu6toT51GoxkSD61soGG5MuBMAZHir8gFB07jsXXz38OZafKewJdgCElNwiAV8aiMupTaw4iaSQBK7EriVpKkbWMKG0OYiKLbY3Pmd7Tm5r2Xh6DZTxCGxNiNx1CrX//t3/6NxYsXM2vWLFasWMEDDzzAPffcwzXXXKPmIwTXXXcds2bNYsGCBSxbtoyZM2eSSCS46KKL9sYp2CtoT51GoxkSnoRSW/LXtfOxiwqgD61sIGn77/HM3lt2JadwT1MVc8l7BscPH4PEx/HzRM0zIfcXsCIgnqHUrATbIO9lMIWFJ11yXjdt+fsxhInj5yGzQMW34p99T49H8+FFiN4Q6q6uPxSOPfZYFixYwE033cStt97KuHHjuPPOO5k2rfc7+81vfpNsNsvVV19Ne3s7xx13HE8++SSlpaW7PtF9jJBS6oyWDyldXV2UlZXR2dnZL5FUo9ld/rp2Pr4UnDP2Yh5a2UDOg+kH7d/hu5eaZ+P4gqyrrlRTR12ykzX2LMva7qUq5mIKm+Guugi5yRRm00p19TQtRPlINdiKIZEIBAjwpYfrF+hx2ylvbYdIAmHHkZ2N4fbFmOv36fFo9j374poR7GPp1NMpte1d3k6343Dkwif09W0rtKdOo9EMmbPqp4f/v9feqfcLUVNSGXXZ2BPBew9ulXtcAzNvYhkewxMl4BawjNOR4m41wLDAySkDz/4Mwn1CLSu6S0zDJm6lgHZwC0jfBVn0vu6OS0WjGYB9LT68v6C/qRqNRrOLPLFe5Z89vKqB1V0RlrXF2ZyxaMup++W/rt03OYbr0vdQGXX5Z2ucA1JjkVYU4inkS9+GFlXNJxIVyqhzcuAtDA26nJem4Gdx/BwCAzHiUES8DFavgi0dUHAQY67Hf+Qy/Ecu2yfHo/nws6eqXzX90Z46jUaj2UUybu+VxfUFhoCc1/t6X4/m3qQ8Uo7E58LxF5J2HsYUFr70iK3bjLBN/CXvQsTEqKuAjm7EJ09FREvxYgl86ZHz0njSwfNdDGFSlRqNUVkG6Qxiwk34T30NEjHwfeTrN4MvEUfcsk+OTfPhxDDUY3fW12yLPi0ajUazi/iyf7b25w54b0LREh9DmKSdh5H4uLJA0j4fkYyBIZC+xO/I4/5zI8b5s2HtcmT7ekxpYBsxpPSpjn2ZiBlHCIHnO4iaA6CmRnn7IjZYJsSiRXFBH/nK/1MFFd0PvSfHrNFotkV76jQaTT8aljfgy+0XPvx5jRK3PWfsxaGEyRlj9o1H6v2GXczr8WVvbuHMifvesFvZleHoYZeypvseYqYgZpUgX/suoqocKSVmeQrSGYwz7sb7rxnIHgfpvIN1fgw7VkZV6SXI5T+iorwakawCbNJxi3wkRWVnCcJ11UEOq4KODnBBTDwSfF/FwTr/QDaZIG7palnN4NhTHSU0/dGeOo1G04/tdXgIOhXkPaHbexXZlFHnob3w3s7j6GGXAtCWt9iSMyjPAlUVEItiHH+b8rQlYvh/vRJRlcIYlsA67WgApJdHts2DRBK6WpHLlyLXvEqJKKEqdgkYAiI24oDJiNIaSKUgFoFIQsmkmBadcYEvPTLuI+/dSdB8oNA5dXsH7anTaDT92JE0ycOrGrAMiSl6ZU3yXq+Bd/ebDVx1yP5TDRsc65WT3h/HHBh35B9FREug2sd/4QbI5CCTQxx9KDgOdKVD611Eixpc8TIQBrJjI6xfBweejr/4W4hoBEoSvbIoIyZREB4+BYRtsLyzmRLbo9SOYRkR/tV2L3HTZ0LZFe/RWdBo9l+0UafRaAaNISTnjbuYB1c0cOH4i7d5fX8y6PYFL2yegy8FrTkzXHbeuItZuGHejnXwIgnwCuAWEAcfCmtXIaeejPAlODmkvVzJlQhDeduyXSAMvJJyRM14jJqJ4D6BMfmjyM6NZIaPIpnJI7vb2VIRxzZixMwSIkYcH+goWLTkPCCLLw2yrsHCDfPwJZw+et/q9Wk+GGhJk72DdmBqNJpBcd64izlvnDLkLhyvjbd9QVCIYQr18KXg6Y1zAcK/AyJOAet0WthCtrwSDjyYzkITGdmDG4mAHQMrghh2KXLLamS+G1noUWLEwfpmBJKV5Grq6Si0UCgpQ5SNwPNd8l4PnYUm3u1cRdSQRA0f25DYhsQQqq+sIdT/geyLRtMXHX7dO2hPnUajeV8ThHSDoozWnIEhYNqEvWNYdhX+G4nPyy15TAEbeywSlsSXgpqEA8CGtI0pVMu0QGh4b8znEyNmAITHfs7Yi/nr2vkYRSNvZ2zskfiyjbRjEi34pOwsI5JJymoPRmQ7kWt/WjzodgrjjyQqTPB9Cv5jREQUfBchDErtCjZlNtBRsIgaAsuQbMnZVEbdYq9ZiBo+nhRgKHkX2wBfSlpzFgtW3x/eEGg0mr3HfmXrPv/885x99tnU1dUhhOCRRx7p97qUkptvvpm6ujri8Tgnn3wyb7zxRr8x+Xyer33tawwbNoxkMsk555zDhg0b+o1pb29n+vTplJWVUVZWxvTp0+no6Og3Zt26dZx99tkkk0mGDRvGtddeS6HQP9v69ddfZ8qUKcTjcUaOHMmtt96K7uqm2Z+Y/24DpbaqyM17Kn8vYUHMVPl9e4K73lDb2ZKbS0tuNqVtbaQ6uji1rISTK8o5Z2yEU0dGmFLnckiFxUFlPifW9jC5MsvBFXmGxz0qoj4PrWzgwRUN3Pv2nplXX84YMz2sMPalwPXFoMKaR1ZdytHDLmV92mJdd4SmrM3yzhyru1dC4jxEzURE+UjEhOOJmgn1+2KcSmt+Pa2FjazLrSXnpbGMCOXRUkYlTSxDsqorSsYVtOUtJlVczrp0hLSrQsRRw6cy6pKKeBgCSmyPqCl5cMWePy+aDy5Kp07uxuO9PoL3J/vVaenp6eGII47gV7/61YCv33777dxxxx386le/YsmSJdTW1jJ16lS6u7vDMddddx0LFizgwQcf5IUXXiCdTnPWWWfheb2KoxdddBFLly7l8ccf5/HHH2fp0qVMn94r+eB5HmeeeSY9PT288MILPPjggzz88MPccMMN4Ziuri6mTp1KXV0dS5Ys4T//8z/56U9/yh133LEXzoxmf+Whle/vC22JLSm1JWURP1ymwnoylBPZGb9c1sAvlzVw95sN3PNW/+Od804DKRvWdN+DxFdGjZODfAb/5f/Df+V5SlpbKe1KM6wQo9IvZXi0njElEzgwVcfEsioOryowuTJL1JQkLEl5ZPcMzp2te87Yizln7NC8Xt2OqtDtKpi05Uw2ZVTPTT8ah5JhKr/OLSDSrSzcMI+mrE1ztkBXwaSr0E1XoQUAy4iQiigXoesL0o7Bn9fcT94TdBUM2vIWXY5J3hekbI+45WMVw7IXjp/G/Hff3583zb5Dh1/3DkLup64fIQQLFizg3HPPBZSXrq6ujuuuu45vfetbgPLK1dTUcNttt/GVr3yFzs5OqqurmT9/Pl/84hcB2LRpE6NHj+axxx7j9NNP56233uKQQw5h8eLFHHfccQAsXryYE044gbfffpuJEyfyt7/9jbPOOov169dTV1cHwIMPPsjMmTNpbm4mlUrxm9/8hptuuommpiai0SgAP/7xj/nP//xPNmzYgBA7j73si+bMmg8egdHQV7rk/dq/9c9r7idq+uQ9Y8iGTEBgyAXHGzOh1FbPp9TlkfjEzRSWEUFKn6SjvlvyjSVKhy1SHJyIQcUwVYBgFDNXTAtZfQAAzzduxJNgG+D4sDnTm92yo9DsE+vn4UmBLyHrGuF78cT6eXukyODhVQ3hsfe46u/MidN4dct9jEg4xK0UUvpEzSRvtLdjG5KugoltyDC0nLB8IoYkYfl0FEwyriqGmDrqEl7YPAfXF5xcN4P57zZQEVX5dZUxj6jp40tBR94Mt3XqyBm7fUyavcO+uGYE+1j+hU9Rau96Bli34zLhv5/S17et0LZukdWrV7N582ZOO+20cFk0GmXKlCm8+OKLALzyyis4jtNvTF1dHZMnTw7HLFq0iLKystCgAzj++OMpKyvrN2by5MmhQQdw+umnk8/neeWVV8IxU6ZMCQ26YMymTZtYs2bNgMeQz+fp6urq99BotkdgPLxfDTpQXqnTR1+ySwbd3W/2eoVMofK+DAFJS4kGW4akMjqSyugoUqKUhCNIejYkytVj1CgYPUoZcyVxqBqOSNUgykYiSqohnkKUjSTrdpH3ekhFPCqiHiMSBUYlHRKWJGaqfc95pyH0Us15p7+3yhBqPlFTGVFBmNKTg0iaGwSpiIdlSI4d3sNZ9W4ojpx2TJqyNm25NDkvTY/bTonlkbQ8yqMucUsZZx+rnYknBT2uQUvOwjIkJbZ67V9t95KwfOKWz5x3GvAkpB2DtGPSkTfpcUySlkfeE9t039Ds3whkKEC8Sw/2S3/UTtGFEkU2b1ZNr2tqavotr6mpYe3ateGYSCRCRUXFNmOC9Tdv3szw4cO32f7w4cP7jdl6PxUVFUQikX5jxo4du81+gtfGjRu3zT5+9KMfccstuh+jZsf4Eqxi6PL9bNDtiMAw6nKU0XTNodO49+0GnGKU1hAwKunz17XzSdnq3jXn9RYXBNWZplBhSNmzCTwXpI8oxnXEiElqcPcWFZ6MF70BZoSm/GoM26SxZ3M4J0Mob1tZROWWfaQ6g+sLWnIWG9IRMq4ScE5aIhRyPm/cxWRdg6jps6WPbAnsuS4dgfRJa663CrVheQNgMW3CDBZumEd13OXIqi+zsec+8sVzqPLnIjy2bj5R08A2VOHGS82ziZqqsjXvGWHV68yJ05jzTgMXjldFLdmiN29DWp1jq2i4zn+3YYdaiJr9g90Noerw68Boo24rtg5rSil3GurcesxA4/fEmCBSvr353HTTTVx//fXh866uLkaPHr3DuWv2Pz6ohlxfglBesvgLFhQn2Ebva4FnqMRWVsrkygKmkKxLR+gqmPhS8FrrGgwB9SVRLCNZXK8bgUFKJtSGIgll1GWLnu+SYZRYlUgkJVYbnlThyYRVgiddMm4+nGfU9Blb6lFfkkHiIzDIuLAuHcGTQShckPdMIsW5D6aqdVeoivWGcoPKXaCf3l1t3KM2cQVLW+9jQ4/HkVVf4owx/bdz3PAvA7BwwzzynsnUUZfwfONcnt00l9Elakxfg3TB6vvD4o6Mqw5OG3YarVO3d9BGXZHa2lpAecFGjBgRLm9ubg49ZLW1tRQKBdrb2/t565qbmznxxBPDMU1NTdtsv6Wlpd92XnrppX6vt7e34zhOvzGB167vfmBbb2JANBrtF67VaD5sBCHMgQwfT8JlByuP3WUHTwvDmIdU5jGA+tJU8caoKywUCNqdNWez2EammBOnLhZxK4VA4FkgMIm46ufSFxJDmOE+TQEV0RqiZhLPd/DlZiQ+XQUJCKKmX9RvU+uURswwFBy3fPw++8y4xj6R/gh07wJ6PYeqC8SRVZeGy7c3n0DKpKPwB0YkCjRmIpxcN4OHVqow7IXjp4XbNYSShIkYUPC334pOo9HsHtqoKzJu3Dhqa2tZuHAhRx11FACFQoHnnnuO2267DYCPfOQj2LbNwoUL+cIXvgBAY2Mjy5Yt4/bbbwfghBNOoLOzk3/84x989KMfBeCll16is7MzNPxOOOEEfvjDH9LY2BgakE8++STRaJSPfOQj4Zh///d/p1AoEIlEwjF1dXXbhGU1mr3FW+2/xxAwsfxyQMl/lEcgYlAMwamL9a4WMeyM+e82hJpsnlQGARCGWfvqxF07eVq47J63GqiOqReihsSXkHbaEBjUJhKMKokgMMh5aTXGLOnnCZdSYjue0l0wLSSSnqhACIN8oQkhDApelm7HxJOCUUlVZOHjkbTKAWjMdBTPYaQYevSL2m2qCtUqFh4oT586l9Vxd4+fw74FF+vS9wBwYJmFJwWvbrmPo4ddGp7fzZnf4Umfkcmv8PTGuURNg4dXNTAupbyPYRsy6LfNVMTglRaLB1c0YArlMf3zmvsxhQq7Bp67h1Y27DV9Qc0HC2GwW7IkOvw6MPuVUZdOp1mxYkX4fPXq1SxdupTKykrGjBnDddddx6xZs5gwYQITJkxg1qxZJBIJLrroIgDKysq47LLLuOGGG6iqqqKyspIbb7yRww47jE996lMATJo0iU9/+tNcccUV/Pa3vwXgyiuv5KyzzmLixIkAnHbaaRxyyCFMnz6dn/zkJ7S1tXHjjTdyxRVXhFU8F110EbfccgszZ87k3//931m+fDmzZs3iP/7jPwZV+arRDJWnN84NCwrSjkHC8plY7uFLJfmxvDPGuFKBbUjKox5x06cuGSVixHmr/fd4UjC58rI9Np/AK+f44NBrvEH/dmS/XNbQz+uU61UXAqAypjxk1bJa9TaNJCn4WXzpEjHiAJTaw9Rg31fVrdJHdm4EwCobCYC0YgDEIiVIJFu8tZRHZNG7F0PiY0gTDOh2tuD4ArNoqHkSmjI2hpBURNUEexyVSweBcSrC0OZA9NW/u+zgwRlGf107HxA8tm4+Z4yZjlvMJUw7RU050y961gQdBZD4mMKgs/AgR1YJCn6GuJWi4EFnwePVLfdRHlHzz7gGPhA3Ba4vqYp5xSIJQUVUHZfjCzxPhCHYD0PoX7Nn0OHXvcN+ZdS9/PLLnHLKKeHzIP9sxowZzJkzh29+85tks1muvvpq2tvbOe6443jyyScpLS0N1/n5z3+OZVl84QtfIJvNcuqppzJnzhxMszfJuaGhgWuvvTaskj3nnHP6aeOZpsmjjz7K1VdfzUknnUQ8Hueiiy7ipz/9aTimrKyMhQsXcs0113DMMcdQUVHB9ddf3y9nTqPZEwRFB+PLlOeoPOKxoSdCTdwJvUpOMT+tNuFgCKiJO1hGBNuI4vi58PU9yfSDpoVzCzx0W4dd73qjgchWd+zB81TR+LANZYwh1c+dKGRRSQoWcSOiDL3ASwfFxvVGb6N7S3nKJb3i4AYmESOOFfGQSARChWixwYyzqWczplBePMuQ4Q+t6wvixWpRx1d5Zl5RysQQg79I/XKZOi+Bd3Jrgt6wqghDApKXmmeTsgWWQShXsiEdwSie0+qYmodlSMrNJIZQhRK+9LCNKKV2hhLbCStZs55RPBewJWcRNSW24XHeuBlFY1LtJ+8ZobagRqPZu+y3OnX7A1qnTrMjFm6YV7zoCgwBRw+DqJmkxKrEw0UgMKSgy20lZirvVNTxwcnRHikgkbzS4ofeJ8dXXry+IbpdJZAjMYQKVwZeumsOnTbgOOj13gW6dKOSyhKsLbb2OirQlutpg3QaLBNKVW6sO3wsAHZPN9LJqsIITxlxorJerWdFkFKS85QYuWUo09B2PDXWjIRFFavSqzCEpMsxacup/XYVzOIxKUMn8NIF/VJBeUhNwTbh7DnvNIQh0pzXG3aOmer8nD9OhUeHxy+lx/kjGa+THsch7xnkfcHIhE23k2Nll5pzwlKSLm05E8cX5D2DVMQjFVHdH0YlTeJmKa35LWRdg3hRn04JChu0ZJVR50uK66ttlNg+LVkLX6qCnL+unY/jKyPwcwds30sXeGV18cR7y77UqVs78xRSkV33K3UVXOrnPKOvb1uxX3nqNBoNLGqawwk1M8OcuKBY4OUWOH1kObJzI0YhgyitASdHKp6Cni5l6BTxpIvEpzxKKA482A4Pg6FvqHVHFaFXHTKNu99Uifl3vaEkTYIK2K6C8iRNKPPU+j055YUr5KGgDD0iqsI1bGSfKEc4MXByyGzRMxcct1tAAIawkPjYRlR5+PKq2wJ2DIkEIci4BqaQ9DhmaJgG+Ydxyydq9p73QF7Gl4K0owzsoMgjVeykETON8JzETOW5NIvPDQGOrzyoOH8jaVVgCJOokSfjdpLzfAwRoyySpCKaJ+2YZFyBbQjiliQqlZGZdZWRNrE8hyd9up1WoqZB3pP0OAaNPTZdtsnB5QJwMYXEFGreUVPi+pKugvocOL7gz2vuB0TxvRvcZ0NXxe4/BHpzu7O+Zlu0UafR7Ee81DybmrhLY+a3GEJ5bQLvTHXMoaWwjmEFBwwL2bISutPI1g6I2IjSJOLAo8C08N1GhBCMShZ4pSWBIXrDnc9umsvJdbvXNSAw4vrmzm2PYMzP/qW8WU6fYgpDqIIOX0JmWC2GMDGrxxAx48rO6FIV5pbjqqxtVxl+0skq3Tph9EqZpIaDhKhfjO+m2xCAzHWCMBDREoTn0Oa1kIoowd2k7YUdFZQhp0KctiExhSx2klAHm/cEJba6UAVh2fa82lfMhKiQ4XJTFA274nna0BMhakpqC63gucQjSeKRJKlENXAKHYU/AFBfYuHKAk1ZwTvtKixt9THGt+RMrK4oVTGPlO1hGT6piMHyThVe7XEMlrVJ4pZB0vJpzNihkHN7XnkibUNV9eY9EXodtxZc3h7aoNNodg8dfv0Qo8OvmoEIRGhdWcD1Papjo7GMCM3Z1RR8yeicBb4LZgT5zhuICRMR8QpIVpLz0zh+jozbSUceOgomXQVzm7Bh3+btF47fOxdq5QmCtryybIIWWLWq9oEJ5TlAeZIMIRmZsLGNGFEzSVTElAcur6pfsYt5d1nlkZSFHmXUgTL2hIEoH9l/AkVjTxZ6lGhxrEzNI2YikWS9LnocJwxvFop/045RDCmLUEPPl8XCA9nbYcI2JC1Zi4KvDNS+2nLQG4Ytj6hwqm1IxpYWGB4XVMfGIrKdyGwnubIKhDBw/QI9bjuGMLGNGK5fYHmnZFWXHe53WEyF0c+qn87TG+eSsCQb0nZotPftfNFUNOiips/poy8JiyE+d8C0fkZcUfsZxyfsZjEY+go0g6qcNQQ7DONqdo99GX7dcNnJux1+HXXvs/r6thXaU6fR7IdYRoQqezR5P0Ok4IDTTQYAAb6LiJbillZiHmyQTaXIez0YThM5L43re7TkbNKOQUdeifgGHqO+xhzsPSFd6DVwAqOhPKIMhxJbeQyroi6GUJ4xANOwi2HJBLJzI8KMqnZgxWb26vCLMvdByNXo0z08MPJMq3es9BF2vPc5IISBADzfDT2FUdML88+StgplmiIIuxLmIwbFE75UnjsVIhdhXmFfo842gKLBl3ZUOHV5Z5TGjM+BqZVUxkrIxR0iXjdxsxRDmBjCxPNdfNmDbcQoj+SoTQg2ZywmVeRxfEHWNWjO3kfes8kXK4mD+UDg/exT3SoNFm6YhykMQPLgioaw/23QJs2TMG0IBl1gsAc83zgXy1CftTXd9zC29MpBb0vz/kRXv+4dtFGn0ewlmrP3MTy++0UDe5qq2CXI9Xci3XVE4ilIVIAwKLOj+Hg02x5x00R4XciSGBu7t4S9P31pkXYiRUPFLxoivSK+oIyNwEDZGxWP97ylwqwxUxRzulQoMghLBp4kUPNqyVn4UlAVE0TNpDJahQlWBEd4IMC1irlrPT1qxdZmZb0kksqws2NQUGYvlqqYDapiQy+fkwPpEzWTSOkTMePYhs/GjKPyzgxfCQ6bPuXR/ror5cUQ8VvtUXypjk2NkaQMSRWqiKI9b4TFEkFxRRCGtQ1leKUdk+ZsAlP4QIJUxCdhdVAZcxlXmuK19kzxvSuQcS1KbJ+jh2WJmpK45VMZHYUhTE6oaeXdzgK2YYYGZlBY05KNhDmUnQXVEePC8dN4Yv08Elavht1DKwcXdp3zTkPoxfvr2vnFYxN9nqsiDL9YKfxW+++ZVHH5YD8yGs1+gzbqNJo9iOM/jiUiCPFJDGGyJTcXiU917Ms8sb6392Zw0XuvEKOvw/WfoOBnSRDHNcDLd9NZ8GjLWzh+hgllLq7v0ZSN4UmVtD8qmccUBgVfEjFUOLHadkMPD6gwnePvWHNtIHYm0xFUupbaSrbEEL1eOWVkymKlpTJy3mxXHrTmrInjQ9zKMKbEpcSqJGJYYMfIF8WHY2aJ8rClivIlXkF55uximNawkL6DMOzeXLvAY1f04MmYkkAR+BjCpjyiutQU/JWhNw4g7ZihQVRazLnrcQ0MARVRP+y2EJzPvJDFYghBwlIGXSDxMiqpilQ6CqoP7pWTpjH/3WIPXEON7XIM9aTTYkM6BxhkXcHkyiyOr4zATRkbU8CEshydhSZSkWocP8+opEOTYdNVMMkUe7l6xaKPwGgPCjceXtWAIZS+YfBeDZQTefebDf2WNyzv1Rl8eFUDtqG2e87Yi3m+cS55T+D4gqqY8nx6xRzEZW334qPEpQNxbM0HB937de+gT4tGswdY2nofAKZQF/q2/P0IBBIfz+/tEpC0fWoSe75rwK6QdttIO22sya6lLb+RtWnBxp4Iec/A9QVdBUl73sLxlZcmZXvYho1lREhaMeJWKWNL8wyLuYwpKZBxDTZnLDKuyht7bN38Qc/l7jcbiobPtq89uKKhKL+ier06PpRHPapiLiOTDmNLCxxeZXJIRYxRyQJRUyXu5z1laJZFfEYmPaKGj0Dg40EkgTTtcB95r4ec262MODumqmLjKUS0tFevzi1sOzlhKA+dV0B4DkJKHD9Pwc+qlzGKen69+3KlqnBNFr2DgcRJ3hNhLp2qkPXpdtQxtOaMsG9qqS2Jm5CyoSbhUh13KY+ocxN04Jg5cRoHlReojEqSFtSXeFRElKHo+qLowbSJmpJhsf4CyJ506Ha2kHFdLMMkbvqkIh6Jor5eQNzyQ7HqwCjzpeD00ZcQM5XnsK/kzNbvd18M0ZtD50m1nWc3zcWXymCvSzrFohJ1/iZXXoa7F7QRNfuQ4IOzqw9Dv/8DoQslPsToQol9Q2tuHq4sIDAYHr+Utvz9bOjJ4/qCmrhDe97CFJJUxGNTJhLqfh1bPTRP1t7grfbfk/cNjqy6tOgl6Q1dRk1VoVkZ8xhT4pGyq5GoHqa+9PCkgyddcm6aLTmDdelIUezW56z66Tve8QDc9UZvi6mIAeeNi5G0KnD8nKpWdXLgFpDZTkSiAvJpZLpFGVulw0H6ZFIp3unsoDVnMSLhkIp4DI+PICYjyuPm+5DrQnY1QTSBSFSBHaNDdCGlTyoyHAAz3aEmVTTIpVQeQWFGVSGFk1UGXXqL2m7RGBSxMigdhpSSgp9F4lPwsvh4tOXSeBLyRdHeRNFAShcNrfa8Sd5TUigqlw6WtFjFULO6hh1SoY7Jl4IDU6Wknbbw/ejIm7zcEseTcEDKJW75lEdcXF/QlLXJ9DHoOgq9hliP26v/91LzbJKWjw/0OGbRQ+sRNZTmXlehdxv5ok4dUOxlqyROgsIVUO/l1m3BAk9dX226h1f1GnmfO2AaLzXP7if7orYlwwIT25BEDT/02gXsyY4m+yP7slCi8ZpTSEV3o1Ai7zLiLq1TtzU6/KrR7CIPr2pgTGmBY6u/TFP295jCouA9RmX0YtZ034fji1BqIggTtuVMkrZP3PR5p+P373nYqG9eUtRUOV9GscF8eVRVOx6YSpC0KrDyOYiV4coCpmHT6TThS4+MCxt7bPKeCGVNdoVkn18j24D16XYmVVSqFlyv/S8yX1D6cgUHKsqUgRYpesDKagEDT7rETeVROjA1jLiMINsbkT1tapxhQVcXsqUNUVqCrE5DJEHJ8HFIJJ7vIISBWSyUkNID30dYSv4lLKAIvK+dXSqpL+FAJAfxCqVnJwwiRhyJj8DAly6W0Y2KuvqhjElAJNSqC6p1lZF0w+HKIAo8mW05i6xrcESViylsUnY1Ph6+9HD8LqpiPj2O6uDQ4xhUx5SBWIPD6u4oUdPHMgQ5zyDn9bZUu+uNBq45dFoYMl/Wdi9xy6erYNLjmLimjykkCUuSdkSxS4VfbIXW613zi4LIOa+3gKVhef9+r1uHZB9a2YBlKA0/xw9EsQ1sw+tnyPlS9Z59dct9oTFpG5K8L3TISaMpoj11H2K0p27P0Jj5LSMSXwHg1S334UnBsdVfVs3QK0Yj29cjhl0ahlwBKqLTeL5xLlFTCc1GDZ+0a9LjKC9dyvZwpAqtDTX3bE8ReMaSlroQj00ViBeLHwCGxSLEzBISm9cpwd4y1TtVVNaT9zNkvS7acmkyrsGa7kioB+dJETZw31WC6sczxlSrNlVNq1RhQi6tPGTRRG9SjjAQJdVgGKzJrS9GdSTlkWoSPRno3oJcuQYKDnJLNzLn4mdcrLokon4klMQR9YcX+8LGVW/lQJvOyfVP3imKFZPrUgZf52ZlXAb5dbESMCxE2QgwLDwDpPRx/BxZrxtfepjCwpNu0RBzin1XzdAztrZbGapBlKlvv9S73lCVpRURwlBoie1TE3dwpCBlq8rkEsvDEKrvrS892nKQ9YzQGxi0+tqsosTbdOoIWLD6fqKmah8XSK1k3F5DLuiSAYTCyYG3NeP2Rsi29tb1JaiYDqRvFm5QuacHpvK05q1QbqU65tBRsMIOKH27oURNH7fo1Qu+n5qhs089ddeeuvueul8+Pei53nzzzdxyyy39ltXU1LB5s9KqlFJyyy23cM8994RtQu+66y4OPfTQXZ7je4H21Gk0AxAYaBXRaeQ9JaOgWmldybOb5tKam8fRw8Yh174CVgRfPoUpLNJOJwCS+zl+eDWbMhuIWwYJq4w329PELeWlmVRxOS9snkNbzuKhlQ37pNH5srZ7MYUMPTa1cYuo6VMdd6mMupTaqpIxavokLIsqNwm+QEofUlWI8pF4poHnZ8l6yuhZ3qk8WHVJ1aFhT7QIg169u6c3zsX1BafUHaDalGVzYBjITLsaGLT+KlaipiIJpPTJeVk6Ci0k46NAmEh3JQDelgxGSQTroGrEuFGIEQdBPEVG9ihDAQ/T38qIcwvKQydVizRAGZKALPaJJZ9XVbJmThVV9LQiDBuzZBhSmGCAKWzyvqqulb7qFysNH1NKbCEptT3e6YiRsJRRnXYETp9zcu/bDf2qfQsFA8dXAsVBgcjruRiltqQyJkhYPmW+i21EqY5LPOmwsvh+qUpWn9FJsU1Lsr6cN+5iXmqejSFUZW1XwcCTArNYKBFUObflRdhzd2e6hA+uaAjHNCxXvXsvOFBVzgZGoCEkrXn13h43/MssappDS84O8w0PL4ZZX91yH4YgNOhAGXt9b74071OM3cyL24V1Dz30UJ566qnwed+e7bfffjt33HEHc+bM4aCDDuIHP/gBU6dO5Z133unX//39jvZaazQDoIoc1MU10MTyJbTnG6iJO1RFRyNb1yLqb0SU1pDz0kSMOCOTX8HxBXGzFNuIkYoksI0Yjp9nQpmNL1VHgIUb5tHjKI+Jt5d95c83zgWUNyNIwPeloMT2KI96JC2fUltp19UkklRGy1XlZqwEP16KGD4BUVlPhiye7+Dj4fg5ugrdeFLlV73bEd1jBl1fghZUjp/Dk05/3TjDUh0g3JySG8mnVceIPkUJYZjUEGAYWKNKMerKEPV1iBEHUYjH6fLa6XHbKXhZZcD2aYcWSpdYkdCAlLlOZL4b2dmowq/ZorvLtpXXznfBc5G+A04O4eaxRATLiCAwEBiYwsI0bKSUCCFCb5gvlYESNSUVUb9fh4XLDp6Gbajq34CZE6dR8JURZBXlZToLqoNF2jHZnDWxjAhRM0HEiIe5emGofRCSM0FY1e4TIt46lw0g2yecuz1U3mbfbff3RPbdj/ImquUZV4TP857BkpbZylM+7NJ+3sLgmAJvrUbTF8uyqK2tDR/V1dWA8tLdeeedfOc73+H8889n8uTJzJ07l0wmwwMPPPAez3poaE+dRtOH5Z2/wxRQGSvB8bIsbb2PrGswMqleb85myXoGcs0SxIhJrEvfQzISo9ysxPR86H6IsX4pmCmQPhWROiQ+zdnVeNKnPGKyLh0h7ZjbXND2NE+sn0cq4jMi4bAufQ8ltvKqjCstsKEnQmXUJWr6lEctEmYFyayDzHUiqsaFMh6edHBsgy5nAwWvQHveoi1vkXVNLEO1u5o6as/Ks9z5em/S/JljVKP6pEgWjbmM+ht0gggMvKIHzbBMhBDEzDhCGMhIKSKeQkye3BsWtWLk/DQZtxPfSWMbURJmGUmzDAoZVXwhfVX1ali9Rl0xFCsi6sMgQXny+hqBwZy8glrfK0CkXBVXCIllRJThCEiUlp16ro4zaNlVEfUGNPYvO3jbz0vfZQ3LG8KKUV9CbVxZWaaw2ZDpZFSJ8rTFTZ+sZ+zUk/XYuvlETSVsnC1W38YtPwwVm0IZkUGoeOuOEX17ufYNswbdIYLXnt00F8tQBu3JdTN4dtNcPlY7E6CYxiD5WO1MFjXNCc+R44uip84Ii08sQxVrWIbE0sWR72uECWI31MlF0Zbv6urqtzwajRKNRgdcZ/ny5dTV1RGNRjnuuOOYNWsWBxxwAKtXr2bz5s2cdtpp/bYzZcoUXnzxRb7yla/s8jz3Ndqo02j6UGKrxPaCl8U2ojh+oRiaTFIRncYLm+fgS8GTVi2nx85mRKhLJ8A6Bendry7+y55DHHYzrv84UvrErVJWd2doySqJEKcolnvv2w0DXqh3h4bl6uJ5aKVL0vKoTZSTtCoQK5bgHXg0Vj7HuNpSWvPrKbEriW5aCYVmZKRY2bnuNUT9R0D6WEaEtsIGglT0iqjLOx0x/KIAbnsBpo7a/Tn/8LUHsA3J8BiMTipvi1ussExFPNWyrG0tdDSBu60kTKArlxpzFAAdcjNS+kh8pIT2VAwfD+E1IzxBzCzBNqJIKUkZZaqqtmu9yo3LdIBpIc0IGA4UehCmjXTzRQ9hsXNERBmastDT39AMtO0CUWKvoMbhYwobiY8hLLqdLWru+CQs9TdoG7ar3tsgd+3BFcV8SdunKtpNWaTAsLhJW86jJWdRHvGpiu1YWieQpFFVrr3twXqcoMerDNvDwcB9W4NlD63sDbn2rXoN9mMKJbYcFJCcXDejjwGnKm5f2DwnDD+DEmO2DeV1PG74l8ObGIqdNgAdhn0/s4fCr6NHj+63+Hvf+x4333zzNsOPO+445s2bx0EHHURTUxM/+MEPOPHEE3njjTfCvLqampp+69TU1LB27dpdn+N7gDbqNBog4z6CQKjwmBAqVCaUPEdZROJJl409vyVqRuhxBJ4UPLZuPmeMqgMpUZKzTyGcnDLqDAP/+euRJ30KVxZIO504fiQUUg2Muj1t0IHq35m0fSqjLnHLptQoRza+jVy9AWv4WGSqBsfPMSwyShlKuawyVAp59UMZK4FcF5gRhGHg4+H5Lp4UbMlZGEJVKtrGzsNtg8UuelgADizLYwgZyqMkrRhZr4tYegukM8ieDBQcRGlJ7wYyxXM+Wk3I8x0V3kSGnjEDZYwYwkQIA98vqBB7kDNXyPQaZEFLMN9XOXzS6/XIeUFlbKHXSyiM0Gsn7DjSc9T4Pq9bsRKklHg4SJTXzvMdfCkxDYslzVaYoxYtynbsKsG5XNkZoS1qMrkyi23Y5IvVqltyNsvaLOD+sLfq9rfV6xkLwry+hC05I5Ra8Ycw1b7G34MrGoiaglTEJ1sUYA7wJOCrNAHl2RaACq0GIVfHl5TYauenj76EZzfN5YSamTy9cS4ltl/8XOkw7IeZ9evX9yuU2J6X7jOf+Uz4/2GHHcYJJ5zAgQceyNy5czn++OMB1M15H4L0iA8S2qjT7PeknYexjAgGJtXxsZhiKp2FBxEYHFBaji89VnSlybhRsq4Ramf5Euav2KwuUvIZjFwP/vJ3cF9ejf25T2CMnkjBz7Kxp522fLTYwkkp8g/k1dhdlrbeR23c4/Aq1aqqLDISs1BAvvl35MYmKE8h330d5+gyFQZsWQktm8EyIRZXoclAfNeKkPPSFLwe3ukQZN1omIwfNeVODYFd4RMjCqRsj/KoMrxKrEpMYavetNkCMpNDZnPQ0Q2+j7+pDUyBiFrIjINxxHjE5ndxho8NG9hvya3F9T1K7QoAomYSU1hYPiCiyoPWuV4dcy6t8uEKxfIEO92v8lUkq9Q/vquMvGJbsKBIQ8TKeseakd6KWLNoKOYzCK+AEzEo+FkMTBxUrqDjCboKEUpsVbjSVTBZ3mnxZvuueXKDsP4vlzXQUTCxDFWAcUDKxY/lWdyU3OH6D61UxpZlyKIgMcUq1F5jszCEG5MLDuwNuX7uADX+6Y1ziZomtQk37Cv7iREzeKv996RdE18GOnhGaOzmPVUAUhVzac1Z5D2D9jwsaprDCTUzcXx1s5V1LTryvfvSvA8JYva7sz6QSqV2qVI3mUxy2GGHsXz5cs4991wANm/ezIgRI8Ixzc3N23jv3u/oQgnNfs3mzO+UgCtmaAjkvL8UvTlKXd/xc7RklT5Y4JHoKijjbnjc46Xm2SBQXq90BuvIMYiSamRpNRm3k7yvjLm0Y3Dh+Gk7lHfYHUYnLcoiw0laFcogyueQzcuR6zcrz5ZpIj2PiBHHyGcR8Qql81ZSqrxz0RKwY2GnhR6nnazXVRS7VflOe8Pz8bN/NZCyoTziqupGM0XCLCPuWUQKjjqGjo3QlVah11xeGV5FXQ0/XUDmXHA9aNuCadgUvCwZN09XQdJVMFUYFp9oNofV3YbcsloZcZkO5aErZJS30vd7H26ht9oVlJFmWhBJqNCrYfWTVQGKAseuCrn6fu/yolwK8XLlJQzEm4uFHEuak8VQojJeBpOn+OqW+3Y65trJ07jqkGmcOnIGJ9TMBJTBHBjl2zPOg2rXvu910GnElzB11CXFgomdTiEk8PAF+FLpGlqG8v6dXDcDgLSrvHDRYieLIIfuEyNm4BbbmgF05M3wcxkQt/ywK0fOU4bj0xvnDn6Smn2GEAJh7MZjNz1o+Xyet956ixEjRjBu3Dhqa2tZuHBh+HqhUOC5557jxBNP3N1D3adoT51GA+T9HhJWOQCGiGAKG9v4NE3Z39NVkMSt3tBp3jPoceHC8RezrO1eJlWMgc7NiMp6ONhFlI8kl0ywOb2iqKtl7PFigoEotYfh4+HKgurCIE1E2QhkZCUkYkpEVwjksucQYw8ln0iQrR9LeaSWjNtJwlIabMJzwbBIRYazpns9UUP1fV3RaTL9oD1zHLf/U+VVfbzW4ZQ6n/a8SVPWZlxpnrzfw7BovQprFzKIqnHIXCcMLyAyOSUHEo8pGRFfIto6IZWEYcqTZry5iJraMTjlw+l0mjCFTZmfBOnj/+NpZfxZJpSWQElC/W/lIK6KW4gXK2CjCWWYBYUNmXb1vxkBw0DEiwLIVqQ31y5oJWZYYe6dkrzxMIQg56VVaLiYW+fJQGvOUz1c8yZpx2D+u8rQ3V4hTdCW7qXm2UPSOayJ94pND2TQBa26fCko+CrMmYp4NGeDClPBuJTP841zueqQGYPeb9/9BdIlSmNO0JHvNWKf3jgXUxicXDeD5xvnknVVS7hjq7/M842qmCLvCT4x4lJaskrPzpOCzRmLP6+5H0OYpCI+vlQiy64v+oV0gzzB3dVR1HzwuPHGGzn77LMZM2YMzc3N/OAHP6Crq4sZM2YghOC6665j1qxZTJgwgQkTJjBr1iwSiQQXXXTRez31IaGNOs1+SWfhQTzpUpu4grb8/SStiqK3TuD4eVw/T9ppoCkrOLzychozc4lbPlNHzey3nba8hdHZBCXVeKaBOeZ6up2HKDXPZuw+lDZa2nofaccodiOQZN00nzK6QBgYx5+MbFqhxINl0QPlu2zs2UTeE7TlVhC3fDb2tDC2dDRdTjOedGnOShoz0bCH6p4IGd/zlqrOTNnKG1QeUZ6q8lIPQ0hK7DLlJUWA9JQxB0oMOBKDrh5lhIEyrGoqob5OeRl7OnsTr5s3EElWUR37MngLkWteBUAkE0jPg+Y2ZFcPJGKIcaPAl8hVKxGm2VsIceiB/eYuu5p6n+QLYNi94erAI2dGVMGEYYTGH4F3SoJtxIgYcXrcdkwixVxxk7glsQwPUFWlCUvlK/5o6QP4Er5zlLqwNGV/j5Sqn2vWUzloe7IYIPj8BHlyBR829JihoPCkinwYhh8sfStgQeXmldh+sddv77aeb5zLqSOVMRfI8FiGyq1c1DQH21Bz2NSjtB3BDI3eQKz6rPrpLNwwr5j/p/Lsgm37Es4YowzRvlp5mvcIs6jxuDvrD4ENGzbwpS99iS1btlBdXc3xxx/P4sWLqa+vB+Cb3/wm2WyWq6++OhQffvLJJz9QGnWgjTrNfoovPaT0acvfT2X0YuAZpJT0uO3kvYxq+eVnMYodIvr2RA14eFUDNQnJPwoORxuSgttN0oZS+4J9fjx5TxQfRigMSySiZDWiCSgv5oUYFqK0BmIlpNtWAeAVpSp6XJP16fWkXYOOvEVL1qK7mF62uwURDct7hXO9YispUIYJQHVc6aklrHIsEYGeNhXCDAoWMkXR3u608rSZpjLALLNXS862VXg0V1DGXSGDbPuVKmDIKckQEjGEL5HDUeFcq1fjjI5uJCCqK/vr4flu/64RAFYE6eYRiXJVMWyoGwIpJSKeQkpZrLx1MYWF73thOy+JxJcePW4HWdfAk7JfGDFqSlxfGTBJC5y+snkYIHxGJFSO4KruDgwBLT0Wf107f5d67gYow0h5t3pcFd12/OL+DTiyUhWweMWChcHS16BbuGEeZ9VfwtMb54ZdIQLDK8Dxg30Lpo6aUZQ7keGyVMQj6xr9RJOD4p3ACxjk4AHh+hS/y6pK9oOV/P5hJAij7s76Q+HBBx/c8faE4Oabbx6wcvaDxC61CfN9nxUrVtDc3Izv99do+sQnPrHHJqfZPXSbsG1Z1fU7OgomY0tVcrsvPboKBQ5IXUHW/RPr0i10OSYtWYszxkxn/rsquXt7eXAvNc8GeM9affXlwRUN9Lg7SFzPLAAzQsZ0kNLHlQXWpnto7LHJe0ZRUgLa86rScE8kmd/zVgNJCyqiKtfpjXaT8ojyANUlfA6pyGEZktGFWLFqNI8QJnLLOpU/F1OVbHLtJmWA5VTnBjFulDK4SoYh7LjKCfRclXvX2qx2XlJs6bWlA1wX6Th4r29AehJrch1i4kGQLnoCDQO5vhEAEY8p46xGhXNFlbqTl4Ue5YUThjI27Rii+kBwC3QbGbyiARc1kviomwYhDBw/hynsogfSYFVXI0nb5632GElbCUF35M2wurQtr4yqpKUM4CsnqfdhWdu9RE0lFB3kE3UVVP7Y/zUmMQQML+rSDTXc//CqhjAfrTVn0uMqQ96TEDGgJi4ZVeJgCklL1iIV8TGE5KXm4HsE1x028Ocl0B0MXl+wWlXcqh6vvTdLp46cwWPr5pP3lPhyILmSdVV7s4po751F3PL7feee3TQXryhMbAplKD7fOJe0Y5Cw/DBfT7Nj9mWbsOZbziQVs3e+wva2k3MY/r1H9fVtK4bsqVu8eDEXXXQRa9euZWt7UAiB5+0hjQONZi+Qdg0sQ7KmW+U+xU2fLsdiXXouGdfgjDGXhxcd6O9leGzdfHypQjy9QqrvvTEXsNNwUuI8AB4tViE6PuS8GDMnTmNJizJO97Se1+cPUL8RAoOcl+bAlEGJbWIbUbqdLB0Fk/qSJE48RSTdiRAmlA5HlH0Juv4L2bQKIjYimYBYBJJFQ62PfAimhWxfD4aF+6dnETH1s2YcWKOsDd/He6sRZ20Xflq5HmXexe5KQyKOGFkDeKEBSapEeQFSw1WBg++owoiNy5V0imXCcOX5dIRHj+jCxML1Czjk8KVX7OuaRwhBd0EZJyW28uZ1OSYbeiLELWUg2YZkU0aQtKAsoryYlx08rV/7uJeaZxM1BaYvyHk+Y0uvoDHzW6KmCl/2uHDVIdPCvqlDxZfQ4yivaeAhzHnKY1YTl6F3LO8JMq5BxjWKLcT6G2xb07C8gUTR27hg9f3FIgaK+5GhgHHUlLyweQ6pCKHIcFfBJGrKsMft5ozFhePVMToFM6x4Xdp6H+35CLYhQ0/ln9fcT9xSYd5PjJjBE+vVednaK6jRfNgYslF31VVXccwxx/Doo48yYsSID5yGi2b/ZeGGeaQiBnHLD9scteatsOLQLcohnDdu4BCWL1XOURCm+qCh8pBUnpJtSLodpTP2UvNs7GIFIqj8PF/umT6uUvrEzBKyXjcCg9KIRcwsKeYtCqKGpMSuwvR8pPQQkSRSCHy5ENOwELXjlcEWK+anGX4x2SsDvo+0O1X48+23wfdxN3Rj1Rfv2ju61Rx68kjHQ+ZdrOFxAIyEDZalqmiL3r9wzp3d6nct0RFWxPrL/6E8hKUlxfCvRaFqJFFslYuJodqYAQU/i8DA8R1MYYQepPJo4NVy6cibGAK6HYiZIvTKKckOyfx3G8IQNShP8Ktb7gt7B2/JzcUyIviywDsdca46RBlVu1KQ0/fzHHjNcp4yLh0fWnKCvGcxqsRh6qgZYTEFqOranRE3KYbelT6jbciil65X0aJvasOipjmAEgI/oWZm0aCVYRja8VVVbrpohAY5eUFXCVUModIR9kWBkmYX2UOSJpr+DDn8mkwm+ec//8n48eP31pw0ewgdfu1FtRrySVo+PhS9DgZdBSPsx2obKi+nb66OEkeV4WugjKKKqBdKRLzfCRT8AyOhMuYW5VkESdvDNlT1pWVIOvIW5VHlWQqapu/qPg0BZ9fb2EYU24ghkWTdLiJmHNcvKL04I4oheq2XnNtN1Exi5TKqy0OuU2npRexQn05KiahIqat5xTAVOn35VbBMvJVbEFFTJVEXRYKddb1thCKHDgNAxCPIHiW2LKqK343AsItFVaXwAQeqfLrWLUoWxvdV2DeTUzl2Jao6Vow9FEwLL15CwcvQmGnGEJLlnbGwM0Z73uTkugy1iSt4q/33bOhRBt7mjFnsU6oMm53J3TRlfw/0iqIua1P9hNelTRyf0LgbLI+tm4/rq89/UCnqS2gt6lBfOWlaWNxSrqZMa56wcGJ7of6732wIa1ZGJX3MYi6e6/cWYvTtJQv9vWgvbJ5DonjzFWjTtRaFr00BmaIwddASLGgp1ve4dIXr0NmX4deWWWfvdvi1+t//oq9vWzHk0pPjjjuOFStW7I25aDR7jcBD0JdAosSTyitwVv300KB7dtNcnt00N7yZNAQki4ZPwvJxfBGGdAbiX2338lb773c6rwWr7w8r9x5c0RCGdfcE977dwD1vNRQvoGpZ1JSU2D55z2BUSYGqmEfU9ImbPhvSEVpzysAKDNih8MPXVOPru95QTdt9qWRW4mYKx8/h+nlSkWpirkHCKiNmlmIbUdXcXhqYnk/SLMOSBjLdgvQdVfUKyptmmarQIR5T3jJQuXSRBKK6ElEzDHPSCIzhJRgVsW3mJ2yzN/M/Fu1thdDRrR6GkiURQvRWwUpfGZQFRxly6QyysxvZ2a0KMgousrsJ2dmIWSgQN0oosU0SljJAbAPSjknCkqzutlne+Ts8KcIbBVXpqsYlrMHdXwdGsJSSMSUFquMuMRNKd+H6aApJ1Cx23CiejpynPi/djsqHC3L6Am+aNwh9ur7GZd5THVhMocK4SnKEsJChb7574AUMjDRTqPOUcY2wGMIQUB13i0Umvd7z4HsEWrJEs/8y5PDr1772NW644QY2b97MYYcdhm33/yU5/PDD99jkNJo9Qd57lBNqynD9Aqu60zi+oKugEtPPG3cx899t4ISaPB2FP1Ae+VK4nidhRNLhY7UzeWL9PPzihSmoMs17vYbd4VUq5GYaFtWxLxMtGpDvdPyeieWXs6b7HmxDMjL5FV7YPCfMT0pYqqfms5vmsqeK0e95qyGMTKRsqC91SNoek8pHknE78KXg4HKTQvGiagobU8R5dYuHKeD11hgHlRcGta+/rp0fGooHl9k83ziXmGnRUVxdiE+yqut31MSryHrdxEWCnOWzOb1KnY/4eHwhMTwHnByyp1V56NauVYaUIcD1EFXlRR24Yu5bIqZy74IuDoefpKpTW1Yi//k6+AbeliwA2fUOniso/3gpYlTRU1ddCWkVwnXeaQdTYEeKv2XjRhUNPEuJSMfLYfla5RFs7wzz9KSjwq2is0Otl6iA6JmURx7D8XMcUdWN6xewDUl73qSrYJB2orTmVNJ/Y8YsynRIsq7gcwdsv0vHW+2/x5GCjrzNmJI8hoB1aZVH9tqWCDlPFZ8MBeWlU8ZS1JSApD2vZFIiRn/jbWsP4M/+1UDOU39vOHxgb111rNe7nfcE1XHV29WXMKa0gAG81R5jYkWOvGewpGU25437Mktb7yvecBlETSVpEuTVub4SJfYlVMWUt/yva+cP7cA17w90+HWvMOTwq2Fs69wLS/l1ocT7Ch1+VT1dg0pPx8+zocfjyKpL+eva+diGpDruYgiYXDESgNXd6+goWBxb/WUWbphHVcwlaSll+1daEmGrIttQLYiWtMwmavp05C0mVfi4foENPRFashYHpvLFC5AgaQsMYbI+LdmQjoQXy8Bj05E3yXm71z4sCHklLSi1JWNTeVK2x6hkPZbnI60oBT+LJx186ZHz0kTNBFJKHD/Hii6P1V0RWvNwzaGDn8eytnsxheSJDXGqYzAy6dKStdiYgfEpn7VplbtXGZWkHcHoEtUG67iaHE1ZwbjSFCWtrZBPq3Zmvq8qVkEVMRgGlMTV33QGamrAiiiDLloSFk0gfch04P7xTwD0LFK6clYc8CSx4+swPnak2m75SPxlL4PvU/jfdwGwxyuZEGPCKKgZBrESJQkDyHXv4P1zJQDmoWOVYVd/gNpntguKBh5VI8HJIarG4QmfnNvNyu528p7Byk71vju+CoV3FFQRQtSUg/IsLWu7lxLbwxCwrC2OX8zVi1v+kD1TvUULslg0I+gptrDzZK+ETdCjGLb9TPzsX8qrPJBRFxRs5D3RT2blpebZ5D3V9itpexxeeRn/arsXAyj4IkwBKLE9NvWo0HLgSUzafhgijpo+LVmrGLqWpB31/XF8mDlR68/tKvs0/Hr7uaTiuxF+zTpUf/OR/fr6NhBDDr+uXr16m8eqVavCvxrN+4WM+0iYvO74eTJunqxr8OymuZxVP52oKUMBXFPYWEaEbsck6xq81DybqaMuIWJIjGJS9sTyXDGUpHLQnt00NzTafAnvdAgaMzZtOZMS26ctb+FLVS3o+h6e77Kpxw77XNqGyrfqyJsU/KF7WrbGEMozd0RVjuq4S3XMpTxaiuW4xfPRQZfTTFehpZjMLzAw6Sh0sL7HZXVXhI7C0Aw6gMmVl9HlmBw9zKUi6ofntSqqjIVrDp1GxFBhMtugWKii5DgA8l6GTaVCGXMFR4U1LbP3AWp5Jqc8dG5Rvy5aAlYEDxfZvl49Cj3hvKyIxIqrogijNIIoT6hwbckwSJSH42TeU4+cqx75vBIUBuSWdUompSSBMawEozKJzKsWYCJaioiVIYaNQwwbA/EkorQGkRoB0sfzHQxhYgtJvGiYmALKIpILx0/DNlSXheDzMJjzHHzWzKJ3raMAzdmhC7j6UnmbM8VexrYReOsI5wn9Q6Nbc8Ph0/oZdHe90Zs6YBTbi/XdZt/XAm/5C5vnYAvVei7YV2XUDYt0+oZ5gzQIX6rCkeB/JeAsieimlxrNrunUaT4Y7O+euoz7CHmvB1cW2JL1yPsGrTmlwVYddxmR8KmJX07GfYT2fBOteYseR7VpGpUskIp42IbN8PilYUhIGWmiaKBIDq8yMYXF2nQP1TGXhFXGm+05krZHyvaoiKboLHRhG8owfKcjRnnUCyUi1nVHiJrKY7ikpfeudTBVhX1pWN7A6BKXmrjDuNI6LCOCUQx9Zf00riyQcTtZlzbpcYwwhNyWV5WXgS7ZUBPtAzb2/BbLMGnLQUVU0p5XeWOruyMkLBlqsC1rU8dYKKa2HV7pYRuSypjLYdJEVIzG/8eTyojb0q7y2QBSJQBhGFbUH4qMq9CrQKgK2fQW5LqNsKUDvzOPtyWDMATWxGpVEDHpQETtJIgmcPw8xoMqB9Br6kH6EvtQJVMiqquU8WgI/H8tR4yoAstCjFSNvuVby1Uv3cMPRtRMpGAJup0tVMUuocf5Iz4eAgPL6NVCBPi/RpUfaIihVam25ubh41Ed+3LoFV24UXnqDqt0sQ14tlGdp/84euctjR5e1RDmlwY3KamIMjrf7VRe1aAaty878oDd+3ZDOL4ioo6xKuZS3kdbLuh4EjV94pYf9pKNW35oBLpFb50vldGX90QxB7TXQ9eas0IjNO+pccHx9C1y0gydfemp2/Kz83bbUzfshgX77fVte+ySUbdy5UruvPNO3nrrLYQQTJo0ia9//esceOCBO19Zs8/Yn426hRvmhcnYkyuztORsXF8ZZKaAwyoFJXYV0YKLzHez2sjS5ZgYRa9KWcQMNcYyrsG6dISKqBfqak0styh4WWrj48HNgWHR6bUqY0EoQ08ikdJXnqiMSXvepKe4j6ipGs0D1CSc0Mja0GOEielDZU33PUUB2hHkvDQFL0vUTNCa66bLMVnZGaXbUQn1jg9dxYjhlZOmhRWyuxP+bcvfz/JOhxEJhzHJCfS47RT8LHkvw7udEXwJr2yxsI3enK36EuXpDORUjql2GC4rkI3vIt9ZrTx1gX6cIRD1o8N8N1XEkICqsUhU6NtuWady6zashREje8cWEbEyiJWQEwWiS18CQyBbO9RrpUllRFZVQNMWZHcab3lRyNgUWEeMU/OpLFNGp+sh6g6kK24WO5GIYj6aCrU3ZyUlthc2oHeloDzi4viC5xuV3t52haJRxTZBeLIla6miFsNnUsXl24y9/Z8NfPOI7W9rzjsNzJw4jT+vuR+r6CGGXsMt6MCQdlTP10B0OPi8g6p63V7+HPS26sp7gvKoR4mtDMW45XNk1aX8q+1eehyTqOmH3jXoLcrxpapqLY94+ECPo1qmBbp1GTfIzzNCeaGgyElLl+wZ9qlR9/Pzd9+o+7c/7pfXtx0x5MzsJ554gnPOOYcjjzySk046CSklL774Ioceeih/+ctfmDp16jbr/PnPfx7yxKZOnUo8Hh/yehoN9FbWOb5gcVOS+lIn7Dk5pqRA1BymPCkGiGQVdYZLa9sWUrYKH/rSw/N9Mq5FwRfUJR2SlkdT1iZu+cTNUsojtUovTfp4lkVExvGki21EERi4skDBz9LtKJHjTa4dGnRKUoTQuAtCsRWRXT/mIBwVM8+mq3AfprDwpEtr3iLrGnQU1IU656lxcVMZdn3lJ+56o2HI4deApkwOX1psyVms6V7HIRWQdvJETUl51KXHMUlaKp8sZlKskFUevFREJdELIWiileFBtWvBUYZZxFZFEkXdOCIREIYSH0YgAVcWMIaPQyKxK0b3thiTfrELREGFVQ0LZAFxxMfVa//6u9qm7yPzBURjM7KlDb81g3R8vKYehG0AqxExC/OoCWo+hkB2NREtmYAhTNZ0d4eyObbhkfUsGjM2tqE8SnFL0pSxaM6abM6KsJ/rdt9PYEtuLrVxQdZVFddHVl0eiu72ZUcG3UMrVTXyXW80UB4RxIqCxYFHTPUKNkIDL2Io4/7et5Wh70nCwpef/auB8sjAxmhQnRq31HcoMAiD8HJfiRylhSjC8CmoKmFDSNw+ldeBQXlCzUye3jgXCApLjPB1bdBpNL0M2VN31FFHcfrpp/PjH/+43/Jvf/vbPPnkk7z66qvbrDNQccUOJyUEy5cv54ADDhjSepr+7I+eur+unU/cUgnVXQUzvJMHpU33yZEeVdHRyFX/AEPQOqIG24iSdbuR+MVKUIucl8UyTIbHDuD/Nq9nRKIQXmDilk9tfEKx6byPL5T+mkSGLaEybic5T9JRsIgaPl3FXL2gk0OQ87asLY7jCxozRnihDAyrO19XxtZQQ7EB3c5DlNoX8PAqVamY81RYbevOE3e/qS7euxp67ctj6+bTnjfodpTRNqbECz2mY0sLZD2lL2ZA6P0MKhuTlseo5HAMYRFZukiFP1esR0SL956VZYiKMmXYlZWrjhIVo9VrhoUfjYciwI6fwxBqPcfPhX8NYWKJCFZRSgXAWPyU2kY6g9zSjd9dwG/L4TamAejYHCnahIJo0iNe6pG86HBEWSmUJBD1HwHD4K32laRdk468SVfBZExpgbfbI8SKxvPEcuUafbPdDnvgBoK6W3dkCAShg9yyJ9bPI2n7/Yycob4vqhuECA37oMoVeuei9BoH1sv72b+UIHKgUTfQZylo1+X6ImyBZhfzUrdupffqlvsAaMmq9yFelHQJWqaNKlGW5LpudadjCFWc9FCxI4ohpPbS7WH2qaful5/bfU/dtQ/vV9e3wTDk1NK33nqLyy7bVpT00ksv5c0339zueps3b8b3/UE9EonEUKel0QBBNam6QEyqUBfzQDi4POpRFbsEupSQLPEUcbOUssiFSPxQ/8uVBSzDJGaWIBB8vHY0iaLhoQRPbdVxwHfxhE+P2x42aXf8PI2ZLnKeDCtlm7J26FmojLqU2D7VMRfbiFFi+/Q4RlhtCOpiOeedXu9ZYHQNlVL7AkBdCLsd5V0ZqJWYJ3e/SCNgQ4/BtAnTuOqQaVx28DSmjrqE00dfUgyDX0ZLVnkNbUMlxzu+KFbomgyLJcIeqcQiEIsqg86yQk+dbGxRmnWBF87JqeIIJ6c6OwjRJ5fNxZcuGbeTjNuJJ90wvy1qJrAKBax8LtSp85u7kL5ExCyk44WSC4kyl0ixp2ok4eP7KK9h1TCIxJQXUMKokjLGpyKURz3W98Azm9Q8NmZUzmKQk5mylZBv+Q68snnPCMO2UFR28QUvNtm7JHodeIUDY9I2esWoAx3DmElo/N/5egO3/7P/564qqsZ5Un1Gt2ZR0xwsQ4aCwOURL9TiS9keS1uVEbe09T7eav89Rw+7tF/Xkk+MmEHaMYrixMoI7GsIZtze74IvVZGJNug+uAhD7PZDsy1DDr9WV1ezdOlSJkyY0G/50qVLGT58+IDrzJgxY0ih1Isvvlhb3poh05qbx9RRl6iKOkPSlrfCJuCpiMeEshx0/gGZaQdAVB9IurCWpuzv6HJsqmMOlkHozfGki0SS93vwpGBDT4RDKsAyIqSdNgSCjNMZ5t25RfX7tGMTNZVIcVfBVGr8UY+oKamIupTYolj959BViGAZkmsO7U3wDqr8Ai/KnvCg7WgbuxpuHYjt5QMGvXSjpmrE/lb77xlbWiDv98q9VETqVChb+DDyAIQVVxImlonsyagrecRQOXbRBBgW0s2rHRg25NOqIraQwbZVBwtPOsRMVWSR89JIfPAhmZbIN5b0m6O7tgtrVKmqgPUlhbRA+oKSo8oQpqDMNhAxC6OkaI1F1BzwXTAsklYFBqoKeELZFhau9yn4KofRFPB2h1Xs7ypZ36NaZg1UkADKwAn68T6xfh6nj76EXy7bvibcQDy4ooGEpdq/Ob4IhXsDwePgOahT215Qr1UVnScxU4Vuo6aku5hrBzA81msY/nnN/WFxguOrYzqkIofAoOCr70DSFri+R1dBybL4UpD1tvUnPN84lzPGzOCxdfP7CYUH/W+D6toLDpwWCmvD9j9zmvc5pqEeu7O+ZhuGbNRdccUVXHnllaxatYoTTzwRIQQvvPACt912GzfccMOA68yePXtI+/jNb34z1Glp9nNac/PocXM0t/+erBvhY6Mu4bF180MPxcTyHCMSX0FuvhtRMZqNKZO3N2/i4HKPjGvRlLHYkLbpLBicMUYJ8m7JdVIZ/SQxE1Z1zcUyJK05l4qoh21FwyrHEtuky4Go4VMT93B8QdY1KItIDiorY013Bx0FFZLrKphURl26HZMTambycktDPy8d7F6xwvudU0fOAAiT/Vd1/Y4eB8qj0Ok0ETWTREQcL1WNuXk5Mpvr7eYAKu+ttR1a2xEHTUTElbYcMWW4ubKAZccQQunWCQxsQxVatOU7MATUxmuQb7+E85LqjCOLMdDMqhxJ20DETKyaJEFPCqM0glGVgFgU2dql2oMBNG1QgsSGgSitwRAGSBcpfErtYYxNbcCX8Fa7EgduzQt6XElrXoQhTEMMbHArUWvlSgvaZw01DH/h+Gk8uKKh2M2hN8RaalO86fBCEW5DqKrVwMA8pMIh7Rh0FUxqEg5G1qKsWNWa9wRGMRfPk6qgwxaS8qhgdDKGIcrwpEuJHUeiCoUwCA25QBfvpebZxZsbuyiD4/N841xWd2//snTNodOY805DeDwajaY/Qzbqvvvd71JaWsrPfvYzbrrpJgDq6uq4+eabufbaa/f4BDWawSCEkunIFoVNX2qezRljvhzm2FlGhM7Cg5TVXoXrP0FTm01H3mJk8iuMTMKqrvtDD8af1gjOGJNmXTrCyq55pB2DiqjytqQiHkHWgi89JD4SH0uI4oXJJGlFsI0sETOJxKc2YdGYUYZec1bQmjNDz9XOen3uD3hSeUc96ZL3epDSJ26lkBs3QSarJEzKSiFiK3Hirh5VRJFLQ7xCFTsUcfwclpXCkAJfgIGJJx2k9IuN4CFixvGzOdwN6TBLX5iCWJVAxEzliTONMLxjlNqh8LF0fESu6B2sKlfzaN8EZSPDefjSA+kxKlkg6xpsitgMMySGMELjLmZCxJBh39Ot2ZIz98hnI8jBC4oWYrbyygU5b44v8IpSI4ZQuX8xU40vj3pUx10qoy62oarCW/MWHXkT2/DJFFMK8p4Bps/oZIyYWYInVWhcooxqgLZcbyFPUBgUhGp7XDCEwPIFU0ddwpvtDQMabIFBF6A9dB9wTHazo8Qem8mHit3Sqevu7gagtLR00Ovkcjn+8z//k2eeeYbm5mZ8v38yz0CFFppdY38plMh5fyn+TfNCo0t13CVqyuJFXCWbdzsPYWDSkttCYyYS5iU93ziX6phD1JT8fXOCErtXZT8QRA3y4TwJJ9UWyLguTVmbtGMwudLBEhHKIjUIYdBVaMYQZphjl3V72NATYXWX6ibQ475/Lkb3vt3AZQcrb07g1enLheOV1Mm+8Bw+3ziXjrzJpIosri+YVH4gsukdWLumt/oVlJcsECTuSqvn8RQiVaO8eclK8n4GgKi06JE9rOxW4faxJep3qrSzC/nPf9L9P29jGBCdkFI6dRMqkXkXUbzQSNVYFNnjYJRHcd5pR/oSa0QS6fhYRx8AdbUAiIrRNNKMKWyVryciGMLEEBY5T/1OLm4qhJ0P9qYx35qbR8HP8kJjCZUxl1NHzghDlQeXuzh+b5/ZCWWC1pwTflfWpSMcUw2vboGP1ZZhChtPOsQLPrmoRY/TTs7L0lUwyXpG6HWrSxSImBFsI0bUSBRTF3wKXpb1PS6WkBR8JdsTNVVagsqfU3NelzZIWsp7eeH4adz9ZsN2UwYCeRbNnmdfFkq0/e6LpBK7Xu7flSlQecV/feivb0Nln4sPX3TRRSxcuJDPf/7z1NTUqITzPnzve9/bl9P5ULM/GXWur+RDANJOhjElV7K09b5QZuHIKpWQvXDDPDaHPTdVEUFT9vcsaY6S9wzKo+oiGPSTVEnkSjgYVNiqKqbaXFXFXMaUmESMOHErRc7rJu20EbdSYUK+lD5t+TxLtySImvI9FUcNLpRBbpJdTEmJGKpQIlXM/QqkLlrzqn8n9ObEDYYfvvYAhoB4sWjFNvobsre++gCtqoaFX5x4Ef/+jwfwJIxMSqZPgIRVTqR1o8qZW/GOyqvL5RET6hF1BykdOieHlJ6SlLFiiEhSbdCOhd0gkD6eAXmvp+itU8eS8qL4rzzf24ps3Cg1fsRI6GzFfWppb0UAqMKJnIs5QeUMiyOPUaHdeBkkyulx2rGNGDlPiTwvbpI0ZgxGJHwOTOWJW34ow+H4go6CSWvOGnRrr7+unc+rrcqQ3Z64cEfhDwCs6spSHvHYlFG6jO92WioNsSgh4/jqM1ybcDlu+CgMTAp+lgg2WZkhLiN4loVZKJAxVRVxiV2F6YNsXY2IlpIrKUFKn5ZcEx0Fk/qSJBKJ6xcoi9RgCBNferTnN+FJh9achU/vzVHaUaLDgexQoDvXXlCfvx1p92n2Ltqo++AzqPDr0UcfzdNPP01FRQVHHXXUNoZYX3bmaXv00Ud57LHHOOmkk4Y2U41mAALphzElZngx8aVKyE4WVesRvfctU0ddwj1vKWmGuOWzpGU2x1ZfTt5rCMVQn1g/D0P0tmMyhNIZS1hKT21MSYGKaB2bejZjGXGEEHQWVJ/RqJmk1B6G6xfIuB04UskyBMne7yWGIMxHipnKkAvkLZKW8t4EmmLdTm+FYyAO+9i6+WHl6vaM0x++pro0mEKGRmPOgx8tfaBfH9G+zPqoMlRe3XIfMbOKSFujeqGQQcRjEI8hu9MwbKRq72VYYOcQwlAtw/qEX/Fd6GlTUjOlVZjZbhKJcqSUdBQakUgKkRLs0hKorgRAjD0SvAKysxG5dhNem7I4zZoERkJ5CI3SeHAyEFaUbCKG4+eRhSYKfhbDS9OYcch6Bq5v4/iqErg9H+eg8gIllpJu8aWgKWOTtAffI/us+un8s+2BHY7Jul3ErRSbMzYZ1yBqqtBm8P4Oi6nvQiqi5H5OqJnJ5szvqE2MJ5LuBMMibsfAz2F6FgiDhFkGRil5P4cUFqZhIQs9xBiGa/iU2kkqohEMTFxZIGVXI6WPRCClXxTgVu+NQW/41RRAsXijs2AQKeYWaoNuP6NYXb5b62u2YVBG3Wc/+1mi0Wj4/46Mup0xcuTIIYVrNZodoSQTBKu7fXzpk3UNyqNWKJ2xtfEx/90G4mavkfXwqgbWdTeEWlpZ1yDvGZTYHqbo7V15fE0PSdvGNmKU2iMxCwUOSI2nx2kn43Xi+S6pSDUJ14SuLZAahkTSlBX0OBYTyvb5qdmGwOsWTKUi6nFy3QwWrL6fEtsvigArVf8RCZ/mbG/SysOrGmjNGxxU5pK0fX65rIHRSRl68H65TBmLVVH1ANWA/Z9tJklLEjEkSUv9DtfGlcdoY6Z3bne/2UCpHeUot1EZZrEUmBEoz4Ew6J40iazbzYqWjUwqN6iKjUZKiZA+jilUH1thYmS7ladO+hT8rCp26N4CXY2Ut7Upo+ygo8kcehQZtxMAKZspi9ZgCwPZ3Bm2F4t8pA7xkY+oXq5Aj5HHNGwiRpx1nWtCuY5H1yUwBIxOGrzebpArqq2URqAlB635CMdWOzjSC7sgBG25Bst3jrqI7y7ZvmE3IvEVHlzRwMaMQVVUtfoalypweFWeo5NVtIpOomaMtnwrW3IWG3t+S9SMQbYLoiWqIjzbrip6e9oQlfWQ6wIrQtR1ldhz1Thk62pk0zuYsRQV8TIwIkgrisQPc+mC0GvMLKHbaS228zIwhQSK3UN8QXveIOtBD6pIQxt0+xmG2HFz4cGsr9mGQRl1fUOiN998827t8Gc/+xnf+ta3uPvuu6mvr9+tbWk0gUQDqDCOarclQsHbgbANZaR87oBp/RqC20Zv665g26DCkXHLIGLEKZOlkM9BRPUPLfhZXL9A0qogYZXhmS6ebZJ1WukqZPi/xuQelQzZVe56owHbENQlVHJ8RdTDMiRPb5xLKqIEmrOuUUxeVye0IuqTivh0FQxKbJ9uxyJu+WxI2xw3vNBPQyxlq/Oq1vHIe6ooYVRCVQHnPUEq4tGYMel2VIeCgi/44WsPYBuSg8uU50bEy5QxZxjIzsZi1avPpp40XY4y1seV9tDjtIfdO3zPwzKieNIlalhgRYqVrz7Ey5Unr309ZHIqBJvtBFuFyIUQRIw4dncbrF+HtyUDnsR3JKRKECXVZEwlGpx22kIdvcaMTSriES+2vIoYkHEFrTkVUgbVusssik23582i/hpsyghe3RLl2OrBvXe3/7OBHldgGPDdJQ/w/WMHDsF6UrXxmvNOA805SEUsxpQoT2ZVZATk08hoBU3ZNK15i+pYTuUrSh8RSSINA1rWKw2+Mrd3w4Wi9e25alw+rbyhpvJiekVpicCwBuWRy3lpDGGSsJx+Eia2IWnK2GErsoL//vBkazQfBoacU3fAAQewZMkSqqqq+i3v6Ojg6KOPZtWqVTtcv6WlhS984Qs8//zzJBIJbLu/onRbW9tQpqPZAR/2nLolLbPxpcrVObluBk+sn4cnRdjXsq+X7qGVvRpXf15zP1FTeUra82aoKaeqV3vbGhlCkrCUN6bHMTh95EilhWbH6PTbMYRJxu1UhRFSkrTKWdndzpquaNjAflW32tZQ9MX2FkFvzsmVWdKuwZquaOidHJsqsCFtUxFVBpllKLX+pOVjFtt4Je0UHXnVR7axxybvGSxpMTAMOLxCUpNwqIk7pCKCmFnC6u4MNXGHlV1RauIOec/gtS0xCr7qI2oKZdhFDMnwGGH+XbcD0w8ajtm1BZnv5mVh825HBFMo43NMaYG46VNi+9hGDEMooei4mUJ0NUHpcBAGjszj+qpSNS4jyE1vKCOxdBigihsQBggD7w+zyS1pJN9l4OQNpA9l4wSxf/s8bmUdAO35TTi+w/LOGG+0W/S4hHIgKVvu0Hi/9+0GKqOqRdxbHQYjE8oIG0zBxI+W9oa0uwvq87Q9wy4obLn3bSWVc9F4SFoV2J1bwM3RXV5OzlOdMgxhUtXWDW5BnYvSYcgtq2H1ClWYMmIkODllZEOox0e2Sxl+sThi5GFIIfqEWU0cmSfjdgAgkazqyoY6eV0FA6/YZaKj+N17L/NMNf3Zlzl17fMv2u2cuorpD3xor2+7ypAlTdasWYPnbZsPks/n2bBhw07X/9KXvsTGjRuZNWvWgIUSGs3OeHaT6gEZtwibwS9qmkNNwh+w4blqRxQNPVNJWxmC7XmDuqRLwpJK9qRY/edL5U2YOmoGz26aG164F27ayNQRI8jIHnJempr45Ty14X4+McJnVdqjJdtDwrLChuYANxy+dxXvg3NRE3foKFg77DZwztiLeWhlAwekrgBgQ1rp+I0pLdCWM8m4Al8qb5yF8lp25E1GJB1acjbr0nlasomwejHnweGVkrc6BZMrs8Qtn8poFZ50SFjlHFyeZHVXE+URjx5XiTAfXFGgKWMRMYJeozLsaLEhIxgRl4xMehhNK5GmRXd5OU2NeUYm3bARfdY1iJu9GnSSYkEDAsq+BN5C8AqYlo1lRoqCw1IZIgCN62DEGOUJNAx4Zxm5JY34ebCjPuUXHIC7ohV3XRciUYEhTASCVKSahuVdrOlWIdSYBd3FnqgtWcH1ix7ANuC247Y1uC47eBoPr2rg3U5BwRd0OXJQVdAPrlDevpwnuOnoHY9/bN18ph80nXveauDKSerm5Y5/GXysdgsfHW4SMYaRtEpx/BwFP6uKeWIpSCvjWYDS3vN95NqNiIIDiZiqMI4klAfUsCA1HPJpxPAJIH0c6eDjFTuq5PCki0CwoqsQVpJHTYklVIi/qdgPN8gx1OynGIZ67M76mm0YtFH35z//Ofz/iSeeoKysN0nI8zyefvppxo0bt9PtvPjiiyxatIgjjjhiiFPVaBSBmn2Qn2QWw6cBW3JzGRZTIrdLWmYTNyUXHDgt9NZB0EhebSdqKmPQEHDGmOksWH0/7Xn1g3Hy/8/ee8dbVpZn/9/nWXXX09v0PvSOMGCXZgPLzxhBFCW2JGKNRhNfNArJq7Ek8U1sCAgzomhMICJSohCkdxiGYZheTj9nn11XfZ7fH88+e2aoU5Awei4+58OZvdfeq+x19rrWfd/Xdc0y73Pjth+1IomyQLb5l2MJ+N2QxNvFMynnvECZW8+Dm7dfjiONmvDRiQztXsovNl75NKWqEYOYVul0m+uytSvp9g15HW3YjAWSggN5JyXTJLmjDZukaUMxEViMBRZZW1ONLSYj03Jt91J8y+KxSZ/DOhvEKsC38gRpBaVNizdnKSZCc8BMG9Ycn1gJhhsCpznM70pNpGB5e4DILiXSIVE8yiEdEeOhjSV000jXVFY1RpiSqIhUxyAA/RtTXXKzzeqRQoYNUInxuAOwLUR21KhqgeT+jcisgz3Hh0ghTjyZoZcbBfVocClWVCNrtxGkVVwJPRlNkEItERSahYY4NXY1tV26lk/F2xftJGXTCuTnwsp1K3ElfObIc54W2fVMKEfmnC02mx9hKvBtM0YwVG/Qm0mJVIPt9ZgeH6YiQW/HLISURk0cGusV8lnU6jrSnoCsj3AdEAFkelsm0HrgIITSRmFMjBQ2lXgYpVMc6SMwVbmsrck5KaMNm55MQs5WZGxD7jK2mbWbwQxm8MJhj9uvssmKhRA89SWO47BgwQK+/vWv86Y3vek53+eYY47hX//1XznxxBP3cZNnsKf4Q22/3jp4OVIYdV/BSWmkkuN73sddI5e28ibBzMIBbCh7VJsGq3bT8DVWxix4Tj7iiM7zWTP5AwCGG06LyD0fvrdmJV2eyaTsz6Z0+Qnbqm6rffv7mhO6Z/RSEiXYUHZazvpBSstzblrNaiKqpisiO8nmy/vP47K1K5mdS6nGkqlIMJA1ql7P0hRcG0f6lKMKSsNjkxnCVDC/ELGx7JF3UupNFWwjkQw2YHmbMapd2lZoeZvFKiTVMaUwabXEgVbFbTw0Vc1pYq20MWZuNNWbC4qh8UNLJH3ZmB4/aZnXSgFdvoNAmFnG5nB+wTGtVTRmFiyN0OseNBWnUsVUobQmuuExVN0wMHtWDud1R6CnzPPi5DfyZHk9G8rG5mY0MDcPHzz4HL7+8EpKoaCWmBSMVO+s1k2L8b524jO3RvcWVz25klpi3ndPfdmmVcaWMOKK7zy2knJsiN4hHQnjgUXeMaMGeSfl6K4FxtJkdCtUJo3BcqVmPABdZ6fxczEHhTaw3Vbbuo6ZJ1WkBEm1mR4h+N1QDt8yn6kjNWOBhW9Bl5+0xiSkYCa39SWIF7X9+uNz97/9+q4r/uCub/uLvZ6pW7hwIffccw/d3d37tMIbbriBL33pS1x00UUcfvjhT5upm/lwXjj8oZG624YuQ2mB1xxOz1gKz1JsqnhNoYOpWnX5CZmmncm0cGJaAKG0EVFME661pR/gSN1qSe4pps1cc7axB1naHuAIzXhom/m7uS/sBevvH1zFwrxmTj6myzMK1AfHssRKcHxvDYD7RrOEqcnf9JsK3xu3/ahVdTM5nIrHJh06XDPXFqRwQm9Mtx8zkO1EIBBConRKJR4jVoLrtuSIFCzIm6pLTyZpHcfxwGZ7zeKo7hApNIsK7TjSxxI2SqcMNbYx3HAohRbtXtqqtpUjQ9wOahdsqxnBwWDdaXnkxdOpYM083Vm5mJytGA1s2l1DoAUSIQR5u5McGRBGXCGyHaiHbjdpFEpDuYqqJ8hO42UnZveZPNnR5vxuPUAcfYRpJwI1VSFUdUphg1TDmskMUmg2VyWWgMlIUAppWbRYAr6xYt+J3OfvXsWyNvM13Ont/DpONYwGYo/Nqr/1iBFUACwraiYjmJU1B/LEPpOq8uhEyLI2xcaKYHm7T3viG+XrdIbt6A5j7uxnYGISXakiejohihFLjzUWMl6WKnUsYSOEZKQxiCM144FNLZGttn3RTVtCm3Jk5udsqffYn28GLz5eVFL3k/fuP6l75+V/MNe3Fwp7XfveuHHjPhM6gDPOOIM77riD173udfT29tLR0UFHRwft7e10dHTs8/vO4A8f09WeaUPgDi9hadsHmjNwtGbhxgObIzrPp5EYk1NHQn82aVXwdvVKW97+Z3tN6KbbYtM+YI7UeE1rFUOq9nxO6JpNV3Ldliuec5m7Ri5lSUEzK5fQl4npyTgoTdMaw/jyba+5VGPRav91+gk3bjMRZ56lWViMyNi6ZTvS6SdMRoL+DHR6CW2uZWKdhFH5ahSuzNBIJEd2xeRsGGqI5kXaKDlztuJlvS5z80nLUDZSDSxhk+iIWAVMhDZeU9Qw/dl5lqInk9DjG/Xq4mKBLt9pVfCMetm0fR1pxAXV2KIUWa0ZLEs42NJcEDQabXsoyzLEbsfjUK6iR6fQ42XiJ0tG0TpRQ03UTDVuybGI+bPMT08neHlikZIIRaPZOp5Gp2/OnWnfvWl18DSh298M0otfdja9GUXBMWMEdjNCayoS5Gx2i8Z6Lnz88J3kb3FbyKysUS9LAd3OLNqdfo7pbsezsszLR9TiMmTbjXGzVgivAMWiIXVSmtbrIUdCvgB2U1Vsu1QwQgulU0Yag1hCt0yVYyXI2ObzBXOTNdKwdlOpz2AGwM6Zuv35mcHTsNdCiQsuuIAlS5Y8Lef129/+Nk8++STf+ta3nvP1v/nNb/Z2lTOYAddtuYIOT1NwUhItWlYSw40fsKKviGtluGWHiYPqySSsmfwB8/KKtSWfnkzCZGgIQd5JW23ZfcEVT6xszeL5wrQ0845iebsRZxy2h+9zyePGALngGGXt/WM/5Jju9++2zI3bftSceXPp9BNe0T+32dYMsGWdQzpqeJaxIjFtNU01FuQdo9qdlw/I2Dk82UY1mWBWFiZDxZI2TZRG9GUSsraiyze+kRmr2Io4y1hFqvEEjpSMNmzaXUMgEyXoy8T0ZgokKkKjWdoWctdwjr5sQils0Eg20e72oNEc1N5DORqlasd4lsK3MkhhEaRVxgObWIWUo4jRwMazjLp1mtRNw97FakYK3bQTCejN9FCNJwjSKrVkkja3Dz/TRtzei7XoWOT9vyV5YD2qEiF8C/ugPtNOXHQIqeui55u5XnuBS6QaVOMxBAJbus2hf6PStAQM1i221wVFRzOQAdAt8v43R+9/u9USZhQAYFvVJVbm3Hj7ImNRMp260ZuZzksVLTPfUmhavtOm2m9fWGOw7vKmnrwhuRsegkYWPbqebN9SdLVMm1dEFXvQ2x9BFAfQax4xZsxRDNmMIb6zDzIb1zYAvQmhSNgeDZGxTTbvoxMhWdsmbX5W056OE4HVmpczecpmROHcZTMq1xnM4PeNvSZ1P//5z3cTTUzjpJNO4h/+4R+el9S96lWv2ttVzmAGZJsD1llbMTs3i8H6dgQSKSwsYZOquNXyfHD8h9hNx/qeTMIx3e/nFxuvbCnxavG+JUFfvX4lece0B4PUZFTuK3zL/ISpeS9bav5r8xW8af65XLfFqFIzTTuVpe0hfZkYoVJspajqOkqntHswEUhGA4d2L2W47tDlG5K5qJiQs7vRKKSw8KwclrApuj6NpIxtu6S6Rtb2WqHrUlgtS4pYBVRjSSOVLXuWobpFI7X4k8Uek2HZGDWrhEbisrzDpDCUYwsVmdabxCJVMRm7gGelNBIziD89TH9Y53t5dOISJkK3OVNHy/piRd95PDxxCeXIwhIwKxe3YqaUBlcKlE5N5i6CyWiH2Q8vy2S4GY2i17XR9RhnYRvWqS8z7UUhTfyYVi3VbErSqjACuDJDrEI8q04psilHsmWcXEsED4yb39u9F4bQ3TF8GVKYiupowybvpJQjoxYGM0/3+btXkXNMtavdhVSbLNVpo+NvPbKSrA3vW65JlM2JIoIkQq9/FKIYvfERsG306HooVdCdHXDP7TDQg04TM0sHCMfM0dHezNL1si3bl7FgC7YUVGPJY5MRjjTV1F3nVCcCu0l2U+qJ8SrM2Iq3L5ppuc7gKRD7aT4845zxjNhrUjc+Pr6b8nUaxWKRsbGxZ3zNww8/zGGHHdYSWzwfVq9ezfLly7Htvd68GfwBo9NLyNoeqY7pzw7gRwr8swjSa9FaUYp+TKwCMpZiadsHuGvkUqqx5Or1K3nH4n2vEvx8w3TixM4vkUq8f/tScAxhG2oIujxagoBrNl3ZauMe0hHQ7bdRcLoRSQhCUqPBmsmQnJNSCh2G63azGqI5vrdGogRF1yVWaauF6NpZfKuASGNoVPE2ryc9+AQ6nH4iHe5iGJuiMLYUtWSSUmSjtBlwB5iVU5RCi0cnYrK2TTW2cKSZs+vyEu4eyVF0zcydK7Mt7zILh1TFJsaNFEs41OI6W6rfwxKSOTlToSrHFp40r3l04hISJWh3zT4ooNuPmQiNoW6b20sG3zyRJrS7A1jCJtYxPQ8/gdYarRTOe96CsDOt1iGAthwEKVFqZhE9K4cUFo700SgSZbYn73hk7ZRtVdNSDBJj4zItiBhp7N85ALBu6vsMZDXbam4rT3g8MN97D4wL1kytwhKmQgemdd5ITRVPaU3GgkYqWtdGrRWd3mworTeWLe0FCCL0+KQha5u3g+ugH9+EyHlGHDI5Zapz9QA1OYZcMGAUxF4BpE2oA2zLJecUeXjcHJvpHNlqbGEJTa5ZYfUsxURoMdQw4oge39wEXbPpyhk/uhnsjhlLk98L9vqoLFmyhOuvv/5pj//qV79i0aJFz/iao48+mvHx8T1ex4oVK9iyZcvebtp+44tf/CJCiN1++vv7W89rrfniF7/IrFmzyGQyvPrVr2b16tW7vUcYhnz0ox+lu7ubXC7HmWee+TT/vsnJSc4991za2tpoa2vj3HPPpVQq7bbMli1bePOb30wul6O7u5sLLriAKIp+b/v+UkasrucVA7OYm1tCm9uHKzP4IouuT6JHf4Bfq5NJbeNThqkY3DVyKaMNk0CwvypU2ZwZqicmNaASG2XpnthSPBvOXPBuju6uc8rsBh2esXzo9BMqsREFHNYZMDs3C9fK0EjLpLbNlvp6Hp4oM9qweWjM5/4xuzVDV4kFE001aarjJknxKNpdyPGtMLUDvfYu9ObVICXW+vshquNiEhJsLUl0RJBWGQtGmAiMCfH0TF6nb+woju5Omi1S2UxIMArYjJ3jlQOKWtOYeCoaRmuFL7L4iamoFpwuotScw64UZG2PDk+TdywKrs38vMfcfAe9GZduXzE7Z9Ip8k7K3JxPTybPMd0D9GQcMlbRDPdHdXRtHCc0JsNaK/TLTkG97LXIQ49B2Bl0ZRhd2o6yLLTlUI5H2FrdSCUeoxKPUY5GmIqGWT05zFQ0jCszZO02bOkSq7hVPSy4Rlgy7as3nRyxPyi6hpB1eWZuz5XG6HmwAf1ZTZxCkJiCRqRgJDDbECsj0unxYU5W8/L+kON6QhzpE6kGItcFuU5j25LLIuYONAUitiF5QYquhVCqIPq6EYsXIOYOIA9aYNwNVILe/jhaWtSTElFaRyBY2hZQjiTDdfO35VnKzDuGVtP70aLN1czKGhIapqbKe6ARuiue2Pe/7RkcGPj7v/97hBB8/OMfbz22J9f4lzr2uhT2yU9+kr/8y79kdHSU1772tQDcfPPNfP3rX3/W1qvWmi984Qtks9k9Wsf/Jnk59NBDuemmm1r/tqydrbqvfvWrfOMb3+Cyyy5j2bJlfOUrX+HUU09l7dq1rTzbj3/841x77bVcddVVdHV18alPfYo3velN3Hfffa33Ovvss9m2bVuLHH/wgx/k3HPP5dprrwWM798b3/hGenp6uO222xgfH+e9730vWmv+5V/+5cU6FC8ZiOZ/AI7w0GProXM+NAkCbhbtZojDMRIVkWindSF2XoCbuWk15vSgtyXggsP2jyhuKH8fW0KHJ+n0U+4aNiKEvBORsU21KkxreFaOMC0zVB9lNHAoR0bROxmZ7aklJqxdCmOorCzI2W1EqkFGmBxP6iUIQ3Nn67sQROZ3xyeVIJEQ17Bch4Yq40hNTUO7mzLcsE26hK3o9PMIBP2ZCltrgjA22zInF9NIImIlKLoenqVxpEesQjIxkET4cQPRMRffmmoFvZejyLQTPWHC44FYhyhSkyWqIGv7LQGHxBBVV2agUTL2JJGpttUdTZpM4spsK9M1D+iohij0mePZNNwN0irl2KLcrLb2+nXWlnwmQ4t2t8H22hC21CwpdlGjzOaqsTQZqu/sFr0QhA7AkT4bygntrlFsN5rikOmQ+1RDl6+bwhiB35xbW1I0tjJdfsp4YNHuppRji4xdJEgrxkzYK6AqNeMnl/WNRUm9Aa5DOlxDdvpYA7skAxWLEDQQPT1GQNE5H8IaipT7xiY5sitH1m5DihjPMkKOWmyql1Ls/HsbbgiipgK7HMM7Fh9YrdfL1hrD55XrVu5R4scM9hH/i5W6e+65h+9973scccQRuz2+J9f4lzr2mtS9//3vJwxDLrroIr785S8DsGDBAv7t3/6N97znmW0cXvnKV7J27do9XseKFSvIZDJ7u2kvCGzb3q06Nw2tNd/61rf4m7/5G972trcBcPnll9PX18eqVav40Ic+xNTUFJdccglXXHEFp5xyCgBXXnklc+fO5aabbuL0009nzZo1XH/99dx5552ccMIJAHz/+99nxYoVrF27luXLl3PDDTfw2GOPsXXrVmbNMhFFX//61znvvPO46KKL/rjk21M/xqqNI2b9JfAbCOtguca6witArpMGAVE8wmQYUYpcRhv2c2a/7gnuGL6MVMNgzWk54o+HgqLzwqj4dlXcbqp8j+N7U7bXJEVHMTvXgS1dPJmjlkwy0mhQjm22VFxqCS0fOktAm6tZ3h5gCejwsi1VaNZuQ49tAmkjehYbz7Zcp2nJ5RPz7+oYMo1NnmfSQLg9FJxuhuomHWJL1UNpwbx8iiVcM2+nAlJt2rBKw0Aups3V+HYR38ozP5/jyfJ6wjSmJ7MAdASuDXEDPbWdrlwPVepk7TbyjkU1nkAgiVSDVCdNI2FF3mkjZ3dgB3XTCsy2m9muoEpR5MACRIKwPZJ8O1Ibgp/quCl28MD30a5H0gyaD5MSiYqakWLT830m4uqQjpR6EpJ3PMAQ1KH6KGFq4UjYXjGffaT2v/U+jVr879yyA7p80Wq576g53DkiqcSm1drlG9Vt0QEiTc4251+nn3J6vo26o8msexThHol68DeIrm1kHliH8izSwSqyMwNRiuzOosbq6KaJnb2wDV2JSB7ehj02iTh0CQCi33RbVLGHWjKFKzM8MqyxJfzHxgjfAimMbdCOuhFJpBrGQ9Gy95kmvqrp7XegYU89AWewn5D7OVO3j6+tVqucc845fP/73+crX/lK6/E9ucYfCNinobWPfOQjfOQjH2F0dJRMJkM+n3/O5X/729/uy2r+V7Bu3TpmzZqF53mccMIJXHzxxSxatIiNGzcyNDTEaaed1lrW8zxe9apXcfvtt/OhD32I++67jziOd1tm1qxZHHbYYdx+++2cfvrp3HHHHbS1tbUIHcCJJ55IW1sbt99+O8uXL+eOO+7gsMMOaxE6gNNPP50wDLnvvvt4zWte84zbHoYhYbMNBcYP6IBG9efmQu7l0aUrEe3vhuDH5g5NKRNdZLnotEGb+6dsrl5iqlWalnpy2u9sb5E2M2XBtF+nh76j31NYhEByaEcfE+E2Uw3BIlBG1WkMdyXleCeh9C1jp9LhpRQc8KwsGduE1GttIrRq7R3kAwV+kcCV+EkClg1B2agi0xhhe6bapY2PmdaagVyOUlhpuf5rrVtxW470GazHLauR/owgZ3eRtdsRCBQpi4oLGAs2U4snQUBRFBB+ARwfbB9XacKmCfD0PJtAkGhD6AyJziGERAcVhOWYaqO0zflgu+azjwPifBtKJ4RpDYHEEjZSWESqTiwl7i7EPtUJQkyLLQS9zRvH1ZMxCwshGduinoTN1jKsm/IA2F4zrdc4Ncf8X1/+wlTpFCkvH4gZrisGsg6xCjmh933knR/xn5ttJiPIOiZB49DOiDm5iNsG85w6VwI+ujyOf+ed6M421MM/Q2QckicGIdWkw6aCqZvOyGqsjlbakLoYaAORc2AqRMcKUa7BwiXNk1Eio5CIBneNVLHETjuhSMEx3Q0aqQRsyrGpWn9vjaluKQ0Zi5bI4zuPreTDh8yQpBn8/vDU65zneXie96zL/8Vf/AVvfOMbOeWUU3YjdXtyjT8QsE+kLkkSfvvb37J+/XrOPtt8we3YsYNisfi8BO+ljBNOOIEf/ehHLFu2jOHhYb7yla9w0kknsXr1aoaGhgDo6+vb7TV9fX1s3rwZgKGhIVzXfZrfXl9fX+v1Q0ND9Pb2Pm3dvb29uy3z1PV0dHTgum5rmWfC3//93/OlL31pL/f6JQzHR1eGTbUp00Gifg2FTuxUmeqNX2yGtkeMBz9qtUnfNP9cfr5hZTM67Nnv5gbr32Ug+6HW72D8z5ROCVOXaixbliVOJAlS+YJU6Z6KWBkbDU/4DFhzAIt6OoUlHDwrx5ZqzGRoNTNAjfqxw1MsLIT0ZBy6/SUEaZVUxcQ6RGIRqjpR2iD1sjipqbikrsQKHSgOoMuDEJSN/jOsQ74TwjrCzdLm9JGzO2gk24i1IGMXWorQIK3Sn7XJOyG+Jej1l0CjhJ58EvI9iMYUwrJxMxliFbC1ltBI6ixtE3TYeRJVR6OIVYhA4Ft5EhXhSA/fKiBdi0SF2M3KoHBzICWh5yIw84KaFFQFLLA0KJ2YGTsg0RFKG+WtJR1iFRhyqI0AouCYdmMparC+rLCEpho7DNcdXj7Q4NGJDIN1SdGBNVOGyC8o7FlO696i4LyD/9i4kg5PcfuwpJ5kObTDxNGdOscs88k7VtGfheO9LHp0nLdvfBSR9EPPXLO/m0rotWPoICUdq7fM86wOn3SsgbOkHWsgj8j5iMVz0ZNl9NZhki1lE412cK+Zs/NdCKvQPtsQ56jOaBiQtW2enHJwJOQdc3OzvuzRl0348CHn8J3HzOzZBw82v8umd6NvmXN1htDN4FkhxX62X813+9y5c3d7+MILL+SLX/ziM77kqquu4v777+eee+552nN7co0/ELDXpG7z5s2cccYZbNmyhTAMOfXUUykUCnz1q18lCAK+853v/D6280XB61//+tbvhx9+OCtWrGDx4sVcfvnlrVgz8RQZtdb6aY89FU9d5pmW35dlnorPfe5zfPKTn2z9u1wuP+2EP2AQ/hLdmAQhzdC3lwUVGcPZuA6O3zK4Lbp/wmD9u5RCH6UFN277EZ4leNP8nbM8tw6a4Pu8k9Lupia0XrrU4n/HtwtmFimpEquYLVWPHTXzp9Hlp3iWIlZWy2z4hSZ208a8I+FmLGHjJQFKp5STUTZXbTp9k4e6qeLR7qUc3jmXzZVNLLK70ZOD0Jvg4zOWTpDqGN/Kk6qYDm9WS9kaqwCpLWShBwYfMyt2fHB8Mzvl5ZmMdtBOhkg1aKRlejKmlWsLFynMbJ1Hlh21KkVX05dZgp7YDKVhk9BQK0GuHcIqHaKLtbqBLUTTEsWiHI2Qd7qIVUzGKrSInWsZ4QsAQmJbhsC1ZiahZYislcbDpa5rWMIhSCtIYZGReVAJLhkSy1Tl6kkJoGVdMtLQKD2CIz22VFy2NznQ45MSx9JcvzVHT8aokl0Jx3SrVo7u99asfMGJ3f1jP8S3PDK2Yjy0+NxRT68ATidVfP7uVbxqoJfT+qrGmuS2W8G2UVMhOkjwju1HTYXIDp90e4V4c5kkEnidGXQ9Qb5siYn46hpAeC6O1RRv+Z6JAeubZRI1wrr5W8sU6RQTTIQwK5ewvmzT1byI7vp3tStpmyFwM9grvEAzdVu3bt1tJOnZqnRbt27lYx/7GDfccAO+7z/r2+7LNf6lhL0+oh/72Mc47rjjmJyc3G3u7a1vfSs333zzC7px/9vI5XIcfvjhrFu3rjVn99RK2cjISIvZ9/f3E0URk5OTz7nM8PDw09Y1Ojq62zJPXc/k5CRxHD/tLmJXeJ5HsVjc7eeAhfdGSBPQyvzxpgm2wthNaAXSbs1gjQaXojStzNVpkcRTIYUmYymyNtjSJVUJtvSQWEwEVTZXbcqRxWS4UxyzuWJzQu/7qDfjl1L9wpK6letWctM2U92uximbqwlKpyagHji4PUfeTltO/Sbz1mZhKNDlYQiq5nhYNl3e3J3efdKoWrVWxCpo2XSIsGainoSE6gRCWMSuQ6CqpuXZNN/1rTwFp5v2NIstPRzptYyJ+7I+ruVSjkcQtmdyQqN4Z1vcdsHLszw/l7HAKCTLUd344AkLV2ZwpE+sAizhGOFDHEAamUobqSF0tQnzXs5OqxFbuiBtstrDU7L5+qYgJA4gDrCDOp42+bWuzFCO6owHDRIteLLssL0eN0Umgi1VQdbRtLuQxCYGbKCp3HxkcufX42hgPv/P373qBfvsN5Y9nigLXjf7vc9I6HbFxS87m5GGBQPzIEkgnwXbahor21DMIbuy0F5EdmewOn2yR3chu5udk1LFVLzbZ8O8xa0LqlhqZuhEwfjSKdcIXAjrZKwifZmY0YZNzjaVty21A+fiNoM/Djz1mvdspO6+++5jZGSEY489Ftu2sW2bW265hX/+53/Gtu3WtfW5rvEHAvaa1N1222387d/+La67e2bb/Pnz2b59+wu2YS8FhGHImjVrGBgYYOHChfT393PjjTe2no+iiFtuuYWTTjoJgGOPPRbHcXZbZnBwkEcffbS1zIoVK5iamuLuu+9uLXPXXXcxNTW12zKPPvoog4ODrWVuuOEGPM/j2GOP/b3u80sBevs/ozd+FdF1HqL7/WaWSitCYWanqlbEZDKCZ73RzGGpZDcT1Fosd7NQuG7LFYwHFuXIosPTuFaG4bpiR90iSCtEqkEpsujxE7p8ydK2oDXDm2ozFzQdkh6p3ef0frHxSn6x8cr92t8uX3HDVsGtg1nCVLKpWuHJcoRrZUh1zEHaZUnqcUJHP0c4RfTm+2BiGKbGQWn06HpjKgt0eLOwhIPWinpSohyPEqRVEh3hRrFpuzq+qci09YOXNxYoWGSDFD28FiuK8GQOLwGkjWdlSXWCxKLd7ceRHp3eHNpCC92YgrkLIQiNfUYagWW+G2q6Rj2RNBJJ3vFas3PTLdEudzZuo4GsjLfUuEJILC0NQXOzZgYwiRBTQ7i1CnLbavTWB9DbHiG1bXJ2B542uaW6PtkkhwkEVZROEULS5uaMn56dsqxN4QjNa2eHnL+8xueOqvGmeQmvGki49JR34tswHpi4tUoEFz2wigvvW9UyGZ7+7D92+/6Tu7cvOqf1vp+84/nf79xl57DVTyCTAd8jfnAH9qwcVl/WKJqTFJHxEX2d6FgRry8hTn8H4dlvIzj0GHT/MlP59gqIuQPQ24mYfTgjB80n9jzGo+3GGFp4BLYib3fSl+nidXMi5uYTKjG4UvPVh2bsPmbwAmD6S3Z/fvYCr3vd63jkkUd48MEHWz/HHXcc55xzDg8++CCLFi163mv8/qJcLu/1z95ir9uvSinSNH3a49u2bTtgJL/Phk9/+tO8+c1vZt68eYyMjPCVr3yFcrnMe9/73pafzcUXX8zSpUtZunQpF198MdlstjVX2NbWxvnnn8+nPvUpurq66Ozs5NOf/jSHH354Sw178MEHc8YZZ/CBD3yA737XzHF98IMf5E1vehPLly8H4LTTTuOQQw7h3HPP5Wtf+xoTExN8+tOf5gMf+MCBXX3bUzRDw0lvpKrKTEVjpFowL/9BwvSnhKpGlEaMBd8HYFPF49Q572F9+UfEyqjxrl6/kkiZNhqY2bguPyFjF8hYRQ7LxAzqoVbSwkHtnUSqwXC9xpaqh9WMAjtn6c4h8FSbAfBd20zTFcHL1q7cqxmim7df3iKZltDUElhcTNhccXCkw7xChCVs2uwedGO1ITjSRscNQ8qy7UbB6mYJOnrIiCx68DHssI694DiyssBUMooUVkvxGXse9lRzHtGyjXhBSARmaF9PbjXeZpaNiBomSksrkrRq7ERGNqFtl3yjDLkaOm1ao0yNQj0wRrepUdbW29qRWJw2p5cd9c1UY6gnoZmbEzZychAsx+xPVAcVI/I9WFHdHCDLRbsZY1YsbYS0zbpGN5mq0/xFWNimQqcN0xJurinGcMFyyeiQKK1jCYe847GxovjlFpcuz0RXOVLT7qXcPWq+Bn+67ipAYjsKpQSdvqYc0fICBBPHBS+cpck0ptusz4S/u38n4TuqM8v2jMuKw2bjJCnx7zZgz2sD20K+4Z3o8c2w+mHcE+ahR6bg7hvwjn8Nw41N3Dmc59WzUiLZQB6ygD5/MUqn2MLl11tHcST0ZLbT7SdkbIeGKJOzO7h5c4NYwaysZkNFECnBVx9ayWeOnGm3zmA/8CJbmhQKBQ47bPcgx1wuR1dXV+vx57vG7y/a29v3qpUrhOCJJ554Vg/gZ8Jek7pTTz2Vb33rW3zve99rrbRarXLhhRfyhje8YY/e44knnuC3v/0tIyMjKLW7nPD//J//s7eb9IJh27ZtvOtd72JsbIyenh5OPPFE7rzzTubPnw/AZz7zGRqNBn/+53/O5OQkJ5xwAjfccMNuZPab3/wmtm3zJ3/yJzQaDV73utdx2WWX7eZ3t3LlSi644IKWyubMM8/k29/+dut5y7L45S9/yZ//+Z9z8sknk8lkOPvss/nHf/zHF+lI/C+jeU6kEuIkaD28vfZdZueMsGFD2RC6pBlhdevg5Zw6571cvd5UETxLk2qBLXVTqanI2Ua9aUsXkhr9kUfqm6pSqmMSFbUMfC1BU2hhhsCveGIlqTYtqKdtbrMlu6c3jr/e+iOkECRKkLUVqTZ2EK+e9V4ueXwlRcfkZxa6u6FWglmHISqjrflCnQSmqpXpACmRwjZ+c0kExV6ESsGy8awc9WQKjSJSDfKJjbZdQ6KgRZy0quHJHOQ6EZk2Q8wwCROWsLFwcKSHLk+itw4hCjlYVNzZxo1i8D0IImOJ0daPldZROkEKi7m5JeyoryPVgiit40jfqG6rozvtSpII6iW0Mm1nUSyS6Mi0j0nxabZ2/QwUFcLJmNgvrczP9HskEaEjSZIakWrgykzrJiBMPRqpoJaYuLhSJNhUtRlvnmJ2c7bxu684m/fd9BPGUo1SgktPeeeefbC/J9RiY23ymSPP4cL7VhEkLouOqNB3wuuQq7eDFKSnvBkJiGIf9HWhHl6HKPqIQ4/HEg7rpnwcqbl1UHJsj+DBMZ/je59gwFvEtZstcjY4bsq2qms8D2uCTq/B2pKm6GpqsaQvGzMauE2SO9OGncF+4iWYKLEn1/j9xc9+9jM6Ozufdzmt9R5zql0htNZ7NSG0Y8cOXvOa12BZFuvWreO4445j3bp1dHd3c+uttz6jsnNXfP/73+cjH/kI3d3d9Pf3P00ccP/99+/1TszgmVEul2lra2NqaurAqfCpm6mrCrEKiFVIquNWuHqizND9aGBTi2Ur6/XWwctbhr21WFKOLGxpkg4cqenLxszPJ1jSJmu1kRM549emkpbX3Xg8yEQYsqniEaa7iyyeCd95bCVOU+UXK9OWtQScf9CzVy8uW7uSXPM2KlKmAtTlGVL4jsXn8NWHTCD7we0m+7Mnk9DpJSwudqPRSGHhV6vgF8HxCXSdSjyGKzMUx8Zg4BBiFeBIH0VKkFTQaJP/ionBckY2GTLkZtHdCwjTmonbslz0hrsNM813QhwgigPmi7NpH6K3PArlGjpNjYntdPi7FIjFi81cVrbdvCasm4qZViQSttU241tGMNHu9uNM7DA2JUlqWrfFovk8OudDvptY70yIcKTfEk7o0nZolM160ghs31ieZNvNgXV8avEko8EYo4GJUWsksmWWe++YaMV8PZWkTz/+QlmWPBf+32rzWQ9kFYN1yfqy4OKXnc3Hbl9FrKARWC0yeeF9q/jSsWfzV3euIus0ua0NC/KaFX1143mobmZdZQOepZmXW4q++9cwZxZEAcN9xvcQ4PYhi9UliSU0h7Qriq5iuG6zoBixesKl1DS17vKMqfWGiuQtC2o4UjMa2BzReT4XPWAqhy9E7u0MXlp4Ma4Z0+uYvOljFHPPbj3yvO9TC+k45Z8OqOvbwoULuffee+nq6nr+hYHDDjuMX/3qV3sleNzrSt2sWbN48MEH+fGPf8z999+PUorzzz+fc845Z48Mg7/yla9w0UUX8dnPfnZvVz2DPxJMEzmlUwSSMDWELW6SukQZs1aT6XoOrxx4LwC/3XF5SywB4Fmq5TlmSRtLODjSB2G3WnbYLqk0VhiN1CQk7IlpcarB34UcWGInKXgm/L/VhgTmAFtqlrZHVGPJYM3Ba6YETKtrt9dM5STvpGSb1cVINfDrQdNbziXSIZPhDhPxJVwq3b34KiDRERbGlkUKi1QnONInVTGulYGOuabNKiRhWkMKG6QLSbCz1Dg9lzZ9J7zLv8XxF6Pv/KwhdGAIXVvBEDgpUUKTqhDHzaLRiCTBVpIFhaUM1p/AlkZd67o5dL0EtmWqfNUq5LKofAepDltVQikdhBCkOsGyDEnEzxuvvebs3rT/HYkRhBgCTNOEWrCxCtOVpSA1ggilhGmz7nK+fPe1f/q8n/v+4vz/vooLX1bmPcs62Fgp0+6mbKzkqCVmru6fTjLkLXYUn7xj1S4jBKb1+/m7V3HxywyZ+uxdq6glWQ6qXU7eSZmdE/xiY5YT+zZy1MtOh+oYm5jE0YqHRgVL20I2VbNmLlAK7h+3+OThWX6y3uQlH9wR8ettHkXHjAM4kWRRQbGl6rKwEHJE5/nADJmbwQuD6SjO/Xn9gYaNGzfu1fKPPvroXq9jn3zqMpkM73//+3n/+9+/16+dnJzkHe94x76sdgZ/4Biqf59UKxzptPJLtdaEqaSWSIbqDo1E8vZF57QIHcBVT5qWqyXM6Vx001ZsFsCWiksjSTioPTJKy7DaMrFVmQKVeJTRhmC47jAZGi+667ZcAcAb5j1zxe4vDjXrniZrz0bofr5hJZ6laHclWVuzuC3Ek5paIkmUIEghSAXfemQl7a6p/BUcU10sOCmLih+gFP0Y38qDpRG52YxGW6hECeXYAWBevk6qY0pRCaXBtwSWNOpPABT4Vt5UuaK6aeO2zyYT1dGT69FCGjFKPTAES9pmfq86CkqZlqy0TSzXfX+7i/rSRixeCo0yItNB5Hm4wkImMcQlRBKhgylEz1IaSZkBb5FpkTpZdLTeVNfqJcgWIAsi14XQgmpSNp+lBE9mIYmwkgj8vGk/1yfBy5sZOjdL6vlEaRnXzqJ1im/lceUEjUQyHpp4raG6qagmcdN8WAmSWCKl5pL9IHNXr1/JmilBLYZS04ElCq3dWrbn//dVtGUUqYZ88yPJj41y+NgI4qAT+PAhNv8zuIP7xsz5+7UTTcVu2lplet7uY7cb0vf5u1dhCfi/J5zNF+5ZxQcPfi/femQlHz/8HCK1khu2eSi9kc0Vl/6syxGdRU6ZU+D7a0YYqpuK4BfuWYWUkHfezvkH7dyfE5qNlu88tpJaArGSz1u1nsEM9gliP9uv4oVvv74UoJRi27ZtzJs3b59ev0ft12uuuYbXv/71OI7DNddc85zL5vN5DjrooN3SEHbF+eefz/HHH8+HP/zhfdrgGew5DrT262D9u8TKxCUZI2HBWGDz6lnv5f6xH7Kj5rRaaXPyEakWDNYc6snuGa+epVBa0O6lbK7YZG04urtOm+uRtU3GaCYwlacpO2QqKrNm0idMJe1eSrV54XekCawPU/ms5O7ZcNWTZgavzVU4UlOOLIpuyrx8hC01W6outdhiKhKtSp8jjS/eUd0pjvSpxWVcyyVjFck7bydMf0mY1hgLTLbpjrpDObJY2mZiwuqJpJFK8naKZ2nyjslK7fBmQaNsSJ1Wpq1qu+g1d5s80P55RnCQKTZJVntLJanT0FTqHN+0YO+5F11poCoR9tGLYfFB0DZr513ztMVKEpmKYLHXELmtG9G1OuKwo42atWuhqQ6mSYtgxyJFIIhUw9iyiJ0VRzAzfp7wzfsLCULSSI06rBKPo3RK3umknkwx0tD89w6fWiIoOhpLwMMTAilgWZvmkXFJf1bz5eP3vep04zZjFPyLjVeStRX1RLKhIqglgjilSShhcdF8xboSXj+3wXK3C/3IXWitIYqRx72CK7bVaaRmfvPzd69qEqqdVeBnawl/6H9MK/S7r9hZvZteV9aBg9oUPZmEVU+6OBLam92uLx17Np+8Y9VzCjRm8MeHF7P9WvrvT1LM70f7tRrS/tpvHDDXt2lYlsVf/uVf8s1vfhP5DKR2eHiYWbNmPaMgdU+wR5W6t7zlLa0khLe85S3Pu7xlWXz1q1/lE5/4xNOeW7JkCV/4whe48847Ofzww3EcZ7fnL7jggj3b8hn8wWEg+yFGGj8kbJ7MUZPgXbPpSnKORdhMdOjLxkhhLno5J8WzBKfPfc8uKRI7RQ6zcgm12MKzlLHUEJJUxTwclRiuOxzVbebXdm25Ok1rFEfqpmhC89sdlzMZWi0z2udDqs32TUWSNlfhWSZyqxTZrQiyWIlW7Fibq3nNbIui08dEuB2JRc4pIpr/hekvUTohUg1iJSjHFmEqTNqF1JRji21Vl6KbMj8vyTudNJIylnAMGWtMGXJV6DYpHbveJTcrd0gb3Jx5zM0as9rUR49vN4Nc9QCCEB2kCN8mXbMZq78X3daPSLUhWyoxy2oFYWjm35IIXamZSt+9dyGWL4bKiFmm0AtSmopsUibvdO5G4qZnwYKkgmtl0UIglEJJ0XQ1MF9hGsVkKIAJfDtPfzZiUcG03ysxFBzoz0KXp1nRFzIe+tT3M8N1pGHxhXtWUXAFrrSYmzOzaJbQPNkQ+NbOWctaIhjIaCZCG/JZdBwjPA9x5FFgufRnK6wvW1y2diW1ZiQdEv71eVS202RuGrEylb2/unMV4yFUIgm4u5HCaTXtDKGbwf8qXoJCiRcDWmsuvfRSVq9ezU9/+tNnFE3spdRhN+y1UOL5EEURq1at4nOf+9xuPmvTWLhw4bNvjBBs2LDhhdycP2ocaJW6+8d+aAhLZNHlJ1Rji/HAImsr2r0UR2rsZtWrkUgytiJMBWFzFi7vKDK24uX953HdlivIO8oMnSc7W0hBei3VeIJHJ2A8sJFC05NJGKw55ByFZylKod3yI7OECa0vR4ZE7QmpW7nODMErDTlH0eGl5BxDVEcbNmEqm2bJklJEM4oq4dWz5hnjV0AgqCdTKFJKYYXeTC9jwQiuNAa6E4HNUEO0hBelCF4xEDAvnyVKG7S5fSZuS3qmuhU0/Y7iAL1jvZmfs+2WMEJ0zAWt0OVh09bMd6MHV6M3bTYWIkqhywFqKgQpsBb3mHm6I49B5HtM+sfUEIyV0LW6ET/4nmnVJmmzrSsQngfd7Yh5R4Nlt/bX0RZaGh87gHo6hRRWq4WcqhhLOsbDrjpmCKGXJ3AgShsoUgZrNVIt6M0ILGHzuyHZzK81lduNFYuD2hN6/Jj7xzL8bljQn4XNJblPLdh3/ue/85Oz3sa7rv05vV0h1UCS8RQ524hgejOG3FciWNGreflAFUf6tLl92Nsfh1IJBuZRa2tjKhpjMrTp8hPGA5sr1mWYCARSmq/np5I3gPfd9BMuPeWd/NWdq1pWK9P46kMr2V4z54dvw/85ZobAzeD58aJW6m79q/2v1L3yawfM9W0almW1smTL5TLXXHPNblYr+1upe8FJHUClUuHCCy/kG9/4xgv91jPYCxxopG7d1PcZrLvGKNZJWy3YciR53ez3ctvQZbS7KWOB3RI0SAFz8lGr8gUmWWJWNub2YSPcmVakPjxxCfeM+ORseFlvnXJsUY0lSgtGGzZFN6UnY+w8Hp/0CFLINXlPJYbzlj+3L9dFD6yi4GhytiFpRVdRjiSOhE4vwZGaRipbbeQgpUX+ju+t0UgkoZIc1jGbSDWYDIfZVnNb+9XuplhCMx4aAcCGst2a4/ItWFgws4RL24xHR5ffQUG2m+pZmhgxA+ys3E0OQlsPItvRnJlL0EHF+Nc1RQl640NQD9Cj4+hKA+HZ0F5siiMs6Jtj2rNNz7xWCzesm8iw0SFTidu8HdHXbbzscu2EXQN4MkeoTNzXdPqFLVw0mkZaRuumFYvTRaJChJB4MtdSwirLIkxrpDrhyfIUUmgmmufGomJI3lEIJFORoJZIlhTzZOwiTtDg5skyjoTHJm22VAXlGL598tmce/3VZHMxSgm+/6p3Pefn/aH/MbNttbqNUoJD+mNKIYxUTKVRSk13TvHFY3NktEtDRMZSJ4pac51BLotAEqQVcrZRqTaSMneNlAA4uCPGEg7baikbyy5ZWzEZWtw9Kii48Ia5YesmaP2UiRyrxpIT+2oM1l0emXCac5YmDWKG3M3guTBD6n7/kFIyNDREoVDgvPPO47rrruPyyy/nbW97G7D/pG6f6pfr16/nox/9KKeccgqnnnoqF1xwAevXr289XygUZgjdDPYKmyrfo5ZYzUxWc58xrXT1LM39Yz8k7ygO6zx/t5guq9lm7fQSwtQsX4stqon1tHUc0Xk+loCsbfI9pwmdFMbLbtoWRQrNSf01jusxyRJK02qTPh+sZls4a+9UtEqhSZrrMTFkpkKnmvsRpPC7oRztXkrOTrl5+zA/XV9juOFQCi2G606LED5eMpWrMBUsKCT0+LsbrCsNg3XjNebJnGl/gklmENL8O00gjRDd8wyha8606UybIWD1SXR11Mzg5fPozdtN61VpM4OXJIbQRbFp6WqFaJ+NaBtAZDoQnfMRcw43JC+fRcxajDh0OXS2tSLf/DBBaG0UydrCUmAJh0QblprqmFQneFaOKK0Tq5B6MmUSKXQI2rTTEx0RpjV6/BhParZWbWbnYpQWdHizmu1cTaeXUHR7cLQFwhBtpaHdhZwDUxWHc375M9oKMfPy0J/VfOCWH/OBW378rJ910LAJI0kum/Cho2p87qAC5y5t8M1XKt66JKYvr8g5UE+mIKgihMSOk9ax1VODWMLBs7K0uX0onTb/FkapxpLxwKbo9ODKDPPyLq8cUMzOxcwvxCxr0+Rs3ZodnZVNjQjHMvODjUTS7cfMz6ekGhYVE/ozms/fvWo3M+MXEl9/eCZpYgZ7gen26/78HMDIZDL85Cc/4fOf/zzvfOc7ufDCC1+Q991r9euvf/1rzjzzTI466ihOPvlktNbcfvvtHHrooVx77bWceuqpT3vNJz/5Sb785S+Ty+V2C5x/JsyQwT8+jDR+SCmyWyIJR2okMDeXsHrSpegqXGmI0aMTlzArqwmVZDyweN3s97Kl+j0aiaTWnDPr9BOO73kfD4/vvMj8YuOVeJam24eMrZgIjdddu2cqgj2ZhHoiyNqQsTSeJen2FRMZQxbfsfg9z7sfz2b1cNfIpQCUIrtlv3LFEyvJO5pqbKpwSsPVG/LEysxlBSncOui1LC1KkYsrYSSArTUH3zJVxFJkqjBFB8YDi1hBT8ZUBd0wNFU6AMc3WbnZLF6tavJU0xjS2Pi8pQlUhk2aROd8aJRRax4x0V/FPNQbqNEG9pK5Zmau1wihRMfcZkv3cZgwAg76ug2xszx0obdV9RM9i83zqil00ApHOBBViVwHpYKmjU1gos2aWa+2cIlUA6012+tP4Foua0umGltPJKXIYrhuMk5rCVRii04vQSDJhzAvP4tI1VsEFGi18g/pDDi6W7Op22UgF1N0UjZVPFZPmq/Gx7f5nHv91QQNC9dVdHdEjE26uF5Kf1tKl29Mrg/v9NEP3cGh/b2ITDcn909xUn9KVyWGyQhNFW/HJNq2mzm5AjqKhmSmCcQBbhJR9RrMzXfQ4U3Q7y1A71iNX+gGQLfNwpETFJxuFhc3YQmbWMUEqQYEi4oZ+jJlhhsO1cQib6e8cqCNk/ojcnYfL+ttcMnjZcbD348VhCUMsfvUETNJEzPYA+xD1NfTXv8HgM997nMceeSRnHPOOTz88MN87Wtf26/322tS99d//dd84hOf4B/+4R+e9vhnP/vZZyR1DzzwAHEct35/NhyIvjMz2H/0Zt7PjvoPW/92pInO0igO70zpzbyfhycuMZUtYSwqpluS94/9kJwtWd7+Zzw6sXK3Kt6uRsDTliNSQNFVHNrRgRQWD42PATurguOBzTFz3sNw4wcEqRFMTK/rsrUmeuyDB+/dReuE3vdx/9gPSXYRY5y77Bz+a/MVgGi1d404w/wMNgSu1LgSPn74TvuUnG3mtDKWeU2QGkJXiowYINUwGVosLHiAS5rJY2GTqIhER/j4xg4krKIb42DZ6Kkh4/0WBxAk6PERU5ErG3EDUYxuxFh9Oegs7sxptTOG0IUVQ+ikBNeGWh1tNzNmkwgdVg1RtFzTdsyYVokubUd0zifxfJSOSFWMIiVjFanFMQUngy1dlE5JlKli2dIiSiO2VfOtY3nXiEO7a1reSpuvtC7fwWsE6PGNeHOPxkOi19wBxTxi9uEc19OPLVwmox3YwqU3E+PK6fcc44kpm6G6YNGsgG1jLrY9XT2GRb0R5Ri+dFyBqWi4aY7tQ9aHiUl0EtHp5xHZDrQOzbHy29BRHUYmUJt2ILqKMFlGdM4nEilOfRLhZHBkFq8RkL39QfTCMfTWQcTchvEIXP84hc4i5Mv0TAwj5h5CyXawZEAlSoAqvpWh4ISUIptybHwKC847gN/gW3n6M2Vqiebv7l/1grdip8/TGcxgBs+OZ+I5b3jDG7jrrrt4y1ve0ooU3ef339uZOt/3eeSRR1i6dOlujz/xxBMcccQRBEHwLK+cwYuNA2WmLkivJVGRaa8JwWBdkbcVOUc0DYPN3MVUVGYitDmqy/gj3jF8Gd1+TJgaK4++TIxv2eyo01pmGr/e+iOKrqLbjym6gqLTg9Ip9XQKpVP6Mn/Gf22+4jk9ub63ZmXLZuKCw/b/AnbVk8YLrMfXbKqKloFxqk2ElW/pVkWu21e8af65rUzbWJkZqWk4EuZkNVkbTu6v49t5YhWYGTQh0FqT6AiBwJUZNJrck2vQw2PGi26gF719GNFWMIkRSsHYJCQp8m2Xom74C0RXB3S3m/k7gEwR4WTQUc3M1CWREVVkfci3GfVsvsdU5VRC7JsZRyks5MR2RMdc6qpCqmMEEqVTQlWjFsctG5jpqmrBSRmsu5RCq9WeT5RgdUkykDH/Pqo7ZE7O4s5hU4E9eWq72Z5588DNmm2dGkS0DbQsWij2MhnuMAbNOmY8qPCbHVkeGBe40lT+klgSRRZ2sz3fW0h57ayEjG0sb2qxZFExZFFxAXJ4PXrTRkQug56qACDmDjSP8cFmbnFso5lX3D6M6DAWO/TNM7OMbhY9sg69ZashykoZItpWgCRFT04Zwu06iIyPOPQksF2momHCtI5GobVmR92MHxzU3klW5FhX3UTWVtw+lCfVMCcf8+SUQy3Z6bk4gxm8qDN1d36O4rRx4768TzWg/cS/f8lf356K6Zm6Z0rfqlQqnH322Vx33XW/X0uTXdHT08ODDz74NFL34IMPPm9E2Axm8EzQWrXMhj0ryxHtRuKdkBCrgIx9FuXopy0xxK2Dl+NZikXFFK1hS9Um7yg8yxCDUuhyzaYr6ckkFJyUnozGs5zm73kkFsONYTZVPBYVY9xmGX9XQnfJ4yufFvn1wYPPeVp76cHxH5KzUyZCmxN637dX+/2nS4yJciU2JsSfOfIc/v7BVeRsM+M3vZ6r169kKpJct+UKRgL5tIvw1x82BsiTzVbsWCDp8IzHXT2ZItWKjJ1rVpQCpqIaAPllJwB3oUcn0IMj6PGyif+ymzYhYTMD9qaPGlJy7FfQj3wRgshU5fwyWkqo1tGVqmkrFvOIzo6WMaj2C8QqoJHW0EmAQGALF79zNlFapZZMAlB0ehEIxoIpwlRSyLh0FTuoJ1PknRRX5qnEVaTQDNcdtjfja+dkNSOBaVlvqbgcmdZ5U1cXE04DkVkEs2x0VDOmxcNrzTb2ZNHlQYTfRqxCJsM6UtQoRTZ3DhtC1+ubVrdSguVdKSf2hhzf004mhi3pMMMNh6O6BgjTGrlKDXSGJ6Y2U7Y8lh9zLI70yKQ2enKrsYuxmsd088NE/3UfVoePyDmQpIiMD8USWI4hn8UBmKugrwu9eYeZYeztgzhAHnqCIX4b70XMP4pARJBGtFldKKebbbUNrai8opuS6pjheDMPj2dxpOaOEcERnZpZ2ZiD2yW/3WHx/1avnCF2M3jx8UdqafLUvPtdUSgUuPbaa9myZcs+v/9ek7oPfOADfPCDH2TDhg2cdNJJCCG47bbb+L//9//yqU996nlf/9a3vvUZy49CCHzfZ8mSJZx99tksX758bzdtBgci0hvJ2GdRD36Exqgfp81ljfGsTZBeixCCRmqyXEOhW9FakdIt4+G83Uk5Hm1FhdnNNm6YGsVgqmFu3jw3rXz9n8Ec5yx9+gUtVsZV/8OH7P7cU+eFbKGbYgi4begyXt5/3l7t/jsWG2KXarNdnzvqbL7+8EqCVHDRA6uYndWct/wcVq5byRNTko8ffg5fuGdVyzT3W4/snBssOmZeMGsrXMvMoiEhSmIaSQ1HOq1Kl2dpImLs0QnzYikRjkQ3YkSbA0GEsAQ6VpAkxnD4mj9DDPSa9qFjIRbPNdWjRmBsS/JZU1mamISeHlMRS2NcLLRlArGn1apKp5TjUSYCmJ0ropqPjQY2GVvhWhlSFeNbeRIVsaVaod1VVGMLKTSjDfOhjzbAsSBnayqxQBT60NVRbLeIjqvNfbPRwRR666DZz7k0PfmyBGmFjRWjCu7wUhwJ8/LwxKhN0LDp7wmoRIIbtzk0kilO6s9gKU3eTgnSCqlOqBWMt19p0oyYbKlW6PAm6fJn4fcsNsbOtmv8AOcegtWxGlFwzUlmW1DMmW0MK4hiv7GHGRmFrI9Yugi27TAt3L7lKKFROsFe/DLQgIrQWpFIhZ1CwcnhWQ2qiTFDlljk7A4gINVwcp+mFMFvdmQ5qa9BKcrsZtw9gxm8aJiZqdsNGzZsoNFocPDBB+9zmgTsQ/tVa823vvUtvv71r7Njxw7A5MH+1V/9FRdccMHzzsWdd955/Md//Aft7e0ce+yxaK154IEHKJVKnHbaaTz00ENs2rSJm2++mZNPPnmfd2wGB0D7Nb0RLS1CVTMXpqbyUSBbCQoAjbRM3Byit4WLb+URzezSqajGtppLj5/Q4UliFbOx4lEKLRYUIrK2ohxbbKm4eJbiVbM68GWeSjLGUL3E0rYP7LZJk6EhSf++0ZCk6VbnU+1MfrHxSpQWFN2UopsSK7HXhG5PME3wnkmEMZ0eYAmYndO0uyZi7IiuOlJAzjatjViFpFoxGZp7OM9S5B1Ff1WgH33U3PEqBdmMqQpV62bATymjWK3W0ZNVdKzQtRjnQ1ehrvkzs3y13iQmeUQuCwuWQG2CZM4hRGmdLdUJtlRdju+V5OwOVk8Oc2TXXB4a30o9MerjwzttE4OGSYbYXBUoDQPZmFJkTKdnZSMc6bCjDutKHrcMCcJEcHK/YkVfg27fbZlL5y75D+zXHgGFNvTdDyBOXmFsVpLUENRlJyAr42gVU8oINldDGomkGksaiWRTVTAeCnp9zWlz6iwozKUSj5GoCEvYdFk9ptXs5RkON3LTtgxz8wkbyub4LmmL6cvELL7jftO+ft0bIVOknkyReeQ+9HiJdNMYairEfe2hhgy398DIDuift9P3r14yCmJpI/wCuj5piLKQhigCcaGDMK1RT6aIVUyqBa4U9HsLqKoyg/UJiq7grmGfVMNbF767VZm76smVPFEWvLI/5tWz3vuCn7szOPDworZf7/3b/W+/HveVl+717VkQRREXXXQR999/PyeeeCJ//dd/zbvf/W5++tOfArB8+XKuu+46FixYsE/vv1ekLkkSVq5cyemnn05/fz+VipkZKRQKe7zCv/7rv6ZcLvPtb3+7FZGhlOJjH/sYhUKBiy66iA9/+MOsXr2a2267bS93Zwa74qVO6kYaP0QIQcYy25bqnRb/AolnGU+yREdk7bdQjn5KqmOT3wpEqsFUVCNWRjEbN+1PHp3I4EjdMiz2pGIgl8MWLnm7k0RHBKkxgvWixHi2qQThZJj0FRpNlDaaQgmBLTXz8h8E4L82X0GYymZ8mGBWLqEaSzq8lPHAYiyQz+tnd8fwZazoO2+vj9dFDxgSN03wvnCPyQftzZjZO4ClbQmLiyFZ26bgdKHRaK0oRaMAeJZPoiLavX68B+9CD45Ae8HMy9UDYxzcVGfK1/4z+q6/Rm8fJtlWQXg21vwOyGeRL/86eu1FpqK36DBUvoOxYAubq4IFBZMGMViXrJ/ycKRmRX9MoiLCVDDccJifT9hctZmXj8jYRdqdfmrJJImOGKpXGW6YpJlSaHFwR4N2z2ZTBSYCi2pscfMOwYKC5r3LGvTWbfT//A/hfUPYcwok2yqoaoSzuAOUwp5TMObHQQj93YjZfVCqIBYewrBT4aZtGbK2Zrhp5jwSmASIdy+psTCyaPzj1dhzCjgnLIHONkTfEqMqLvbC1BClDBScbn43tIM7R2zeuqDO/PxsnMoE+s7fQZKSbp3CPm4x8W1rEb6NtbyP5LEhdD1GOBJrVh5RyCAObwaxaoWYc6Qh3GEdve1R0xqfu4RGPm8ILObGxrfybKttRwqNbwlSbap0vZkCj00GTIYmUSVRJnllV9y47Uc4Us+QuhkALzKpu///7D+pO+bvXrLXt2fDpz71Ka644grOPPNMfvOb33DYYYexdu1avvSlLyGl5Mtf/jKHH344K1fum0XQXrVfbdvmIx/5CGvWrAH2jsxN45JLLuF3v/vdbplnUko++tGPctJJJ3HxxRfzl3/5l7ziFa/Y6/eewYEHrTWV2ChQp6s1Go0UFkonCCHRWlGL/50grdKbeT+D9e+axAQdtQgdwERoM9qwm5FcCkuYQXYpwBYuObuDQFVpJGVcmTFxVEndtHulDfluhsqb6ck4pFoBhtA5UrO99l0AYpVDacjYmsVtIRlLsW7Kb5khp9oIKp5LIWtLzV0jl7Jm0n1eArgrns0yJdv8K87Zxp/MtwRCCFKdIMW0ArKD4cYUqQ7p9nvxlY22LbAtU2EDdFOhjm2BUqjrP4IaqyKLHrLNJ9k8hXXobCOmeOALiKO/jJ74EfWMQxSPMhWlNBKX1RNQTwxhA9MSLoUJniXYVDGilzuGM/RnDSHu8TsJVJVUJwRplVJkkkSqsWB+ISFRgq1VM0s3FUmGGhBGkhN7Q3qHJtAPrSV6eASUNoRuyqRUoBTJtipWXw7RX4CxxMyvAQzMJsm3Y0chi4oxk6FFuysoRca7zhKah8YzjOZiXvbJt8LgduqX/I44lLR9sWBuAoRET2ylfeBgyvEkG8o2ORuWti0xMT/DmxFHHk606iaSbRWiJyawOnykY5E8tB1ViRC+jb2w3VTrghCCBnQOmFQPlYB0qcqAnBTQ3o5on42V1qnG41jSoZGUm581gCBINY3EwrM0Gyt1JkOHDi/lySmHufnkaefOqXOe36pnBjP4vUDs50ydODDnBn72s59x2WWX8YY3vIEnnniCgw46iF/+8pe8/vWvB6C3t5dzztn3Gde9nqk74YQTeOCBB5g/f/4+rTBJEh5//HGWLVu22+OPP/54S+3h+/6MvckfAaZVmUDTOiTEli4Zq4AlHBPsjtUieUW3h0byn+SdzlY7drp9Otz4AeXIlKuKbkrRSZmTb8OVWbxYkVguAkGQVqnENSxh7B/acn3YzS+XcjpJqCTbainbqlk8SzMvH+G6GlBIAUd31xluOGRsRX9GoBEc1B7wwFiWSrwzgP2KJ1bS4amnqWkveXwlRcflHYvP4ZbB/TNrLbia2Vno8BSqqWhsd43fXsaOkLaJ2Zr2eevyM2TtNnyZR09uRY9OgNLojduMF11iLvp6qqlCmJ5ZSVJE1sY76xjoGzBzacUBCK5FZNrQOuX2oYSFBUHeSclYZhC43Us5oqtOm2sxHgg2lD36sgml0OLk/oggTcjYDo20TDWeYDywqSVm1jFrKzZXLY7sTii6KUSGsCoNs7PwgZdLikmR0Q4FAz3IMywUKT3eAvSD/20EBlkfe14b8vQz0WEF/d83o2t1hNKgJrCCKp25Tg7rzJG3u7h28w66fHMsRxoWww1B0ZU8mRewYA5L/upNNP7lepL/uAVRcNG1GPuoBUzNNsKTty60aHP7oDyCAHShDbTCPfcM7JtuI9lcRuRshG+hgXBHQPa4bvBd0+rOZ42NjF8CJ4Oe3AqOTw5I5x+JXSszFmzBkR5PllOkSKnFPt1+me01jwWFCJoxa+umvFZFeTywOHfZjBBiBjN4KWDHjh0ceeSRACxbtgzP81iyZEnr+WXLljE0NLTP77/XpO7P//zP+dSnPsW2bds49thjyeVyuz1/xBFHPOfrzz33XM4//3w+//nPc/zxxyOE4O677+biiy/mPe8xd4233HILhx566N5u2gwOMPT472M0uNQMfGNInkAghEQIE0qPNpW7SDWwhI0iJdUJokn0xoMfYUsXz8px6px3cc2mK03L1dIIJAKBro5ibd2IzmdR8+aSKIFrC6SwTOC97YJl40sPKSrNi6FJgmikkkbDVMGKrqAaG1+5djclSE1Fp56YrNioaRwM8PZFz3wR9S1TqfuvzVewtLh/Ny6+ZQhdTyYhb5uIMCMgMUkNqY7RqcKRPo70SbSxjfE1xoJEKXQtgFihRkeRnT4iY8gKlkR2+MZPrR4gXMdYlTjNHFnLJrEklXiMJ0sRjjQCjE47oRTZ9GdSfLtII6liSxcIaPdSHp80ByhMBfPyCkdGbGtMkbEFCpPHayqhikYqyDdtRHbUHTxLU0sEh3eEhCpiu47YUXGZCCy21SxytsVbFlbxsqYaJ7o60PnQ7Ov2DehYIefNbvnkMbIDvW2QwlEn0RAVjuqus6HsYUvNLKkZbdh0+UbZ3JeJEcU+3IM6ideXkG0ezlGzoLONNl0wSRw7VqNzdZgaBdeDsXEo5tHNdQMIx4JYocMEt8sh2VzGPnqxSe3obIOeTvCyRgWbKUIcMMQYfjJBW76PvPJpJGViJUysXCqwm8deCs1EaHPvqMuRXTFPli1W9EUc0727vc8MZvCSwB+pUCJNUxzHaf3btm0sa2cCkpSS/Ulv3WtS9853vhOACy64oPXYdMVFCPG83irf/OY36evr46tf/SrDw8MA9PX18YlPfILPfvazAJx22mmcccYZe7tpMziAsGbyB6RakLUVecfBlTZFtxdHnkGqb2wFuwOINMbDJpUSS0iy04a0cdTMClWEaY1y9FPOnDcAtQl0GiKct6P0TWaoXErI5ui0euj0ElMFqWxBzM62yviuEhzWMd/4paU1KvE4Qw0LpU0aRJgqZuU8bOFSSyabsWSSWiLxLE0REwVWjQWXPG6Mgv90yU5yt3LdSl4xUGOw7nBC7/v4+Yb9q9TNzWmytmJOzmSKFp0eFCn1ZApPZol1iGP5NFITFZaxiggEE8kEhd4FOKcshbBK8tOr0WFC8mQJe34RHabgaOjuQHS1G4uT9j5jzREH4BWILUGYVolVyKxszNK2IgKT2xqrKpa0cYRHly8YqlcpRTa21MTKfBdPhhadvoUU0EhN5m05sujwUtaWHDo9wSv6I8ZDm0Yi6csk1BzFUMPlR0/4fO7okNHA4cp1HkXHxHqVIrhzeILD5s+he95hZlbytlvR1VHo6kW+vB1KJWO0nETN2UETW5apJTS0xJaaRiIZaVjMziVsq5ov3x01hwUL+rHOOg2rNEx6x6NgW6gH1yLWbkQ3jFqYYh5x8FIjcGiPjFffEcdgHRJhbd9sfObqAfbCOSAFenAU+nthfBLR1Y6YfTgRMY20TKoSU21VHmFaY1xtRWPybOflI/57e46NVcGSguSN8zXDdcFw3WE8FDw55czYlMzgpY0/UksTMMlcbW3Go1Ipxc0338yjjz4KQKlU2q/33mv16+bNm5/z+b1py5bL5mJzIA05Hkh4qQslNlW+16wuSSzh4Ft5bOmSqIhYBS01bI9v/N9SfSNaq9acnanYCWxpyIQlbKhOmFkkrcyFVUjw8kzFw0SqQY8zB8IqenT9TqNcP9My0qWtnzCtt9q7QgiUTvEt47c2bZRrSxdLOAgEkWrw660BQWrMamP1LIau6maQr2PlupVkbU3eUWyvWeRsY22yN/jsXat4RX/KrFzMomIGR3h4Vg6NRmnjTxapBkFSpd0z6QlSWEgtII0gTVB3/wYxuw9172Okow2sngwi46CrETpIsA6dB72dzdxXhZi3HF2fNPNkhT7IdxMTYwvXjEsoRUzctC2Jm3ORprKqtWKwHnPTdp8lRcU9YxauhNfPDchYituHM81qqKIcSR6eEBzbraknhgS2uYrNVcmsrObxKcn2GjRCSdCw6e6IaPdMnFqXp/nTJZK2SggTg1DoIL3uVmRnxghCejqhoxOmSma/mi1ninkmFs4j0RGl0FjeTKeJhKlgqG6zoq9OT6adQuqjB9cQ//JedCUinQoRlkC2eQhHYq9YgvBc006NYsTCw9FBpXVzoTdvRcydbaqeTnPGrzpmKqIHGcV/KR5Ca8Udw4ony5IFec1R3aYt7lmStSVDNjeUbc5bfg7fW7OSOTnFxopkPBTkmvnGnzlyhtjNYM/xogolHvkyxcJ+CCUqAe2Hf+Ele317Nsg9IKN7UiB7Nux1pW5fZ+meCQfSBzGDFxaT4UravQISy7QJ0a3qnEY1VZvmfmOk8UNSHZO122hz/xTSG0mahTwhZIvIWEmTzNnuzhUJCYJWWPpkMoK0LYpJMzXBtnaG3QsJQRXP8UlFjNJpaxssYeNZ7ca0tjhAoM0FVpGidMrR3XXCVHDLYIZYwc83rGQ0oOVzp/RNSGEx3PgBx3SbdmKYmmD5dC8r7V99aCWzc2ZmzUSJNUUf0KoyWsKmzemj3eqmoevYlovesRr6lkO9ZMhZvUF6x6Om3RqnpMM17CPmoMvjYEnECf+AHvxXYwVSD9BjW8zxco2wAilx8IhViFIpUlg4qca2OxgNNpF3OnFlFo2inkwxkHU4pjthuG5zQk/KSMOE1p865z3cuN2kazwwbtHumWOyuiQ4uE0zGcETZYvRBtz6ZAbXS4lCiyQWtHeGBCkszGsKjolNEwhD7F0HtMI6+VCzD7bVrA7YMP3d4zqG1Oc6caRLlDQoxy6WMIKDgWzE2pLPoZ0hPZl2s69eB8LPY88rEq8ew5lfRHgWOlbG62/rMPS0m9m9+YvMeiojpmrXMdecZ0lkcnbdHGSKaCEhExji5/j4tvHnO7GvQd5JuGfUBrIsKoasmfQ5uCNguGHjSBNfV09MwsbCgmIksGbyV2fw0sf0d+7+vP4AxHOZD78Q2GtSB7B27Vr+5V/+hTVr1iCE4KCDDuKjH/3osxoGH3PMMdx88810dHRw9NFHP6cI4v7779+XTZrBAYTJcKWpwmmaVR5JqiJGA6OCrcYWh3Wez3DjBwhkq+Wk0VTjn5N3OrGTCMvKmAu4eA2xuhYnbpI6v0hCQqIjJAKpomZQvGzN0dXnLW35moVpjZFGhaV2m8lClRY6Mb55UdogUmZGLS/yZg6ttB0/2wE6IXAlsQqIlaAcWxQcM3/31Jk6KUyen2Aj8S7FcaVNdW9vMDs7XZVK6PCMZUmsYyzLIVGhSTOQeahNoqe24ycReqwEA/3obQ9BEKIHR4nu3gbQIiMATEwhe4vEjwwi/+uDiMXzEAf/LXrrt6DQDbUJRK4Lir0kKsLWEkcLqtrEA9p2BwC97lwCTGUzVgFR2iDvdHJQ+xSdXsJdIz6dnm6pL+/a7LHyjf9fax/P+eXP8DMJ44GiHguChk3QsEhis51RKJFSM79d8ekjsvD571AbhmxbgkoEVSB32jzS4RrCt1GVCPuQfkRfN2zeZFbS2QbZAtXuHtPGVw3a3D4cOcWOekK7l1BLLGIlqMbGyLczzaF3PAbVCsmmErLdQ6calMYayEN3B0xMGZVtfy9EdXQStSrGujHVVFoXoVFCWy6UB1t+dLoyDCrB75gLXhFEnlf2wO+Gx7lnVNDpm6SISmzxutnPbEPyhn33LZ3BDF48/JGSut839prU/exnP+Nd73oXxx13HCtWrADgzjvv5LDDDmPVqlW84x3veNprzjrrLDzPDEi/5S1v2b8tnsEBj6moRs5x6PHfRyW+GoEkIcKRujk7m7Kh/H1iJVBaUU0sEiXIOXXm56dLdEYEgVbQ+AV+EpkB+GYVydaSFCO4SJvWKBIjjtAoEp1g4xrTY2XW/XAwwfCEgxSmNbqkaLWsTYK0SiQaJJmEoYbGC4ZZVJxDkEwyFkQ8NunjSM0rBmpYwpC224YuoxRaNBLZaq9evcHDt+D43oBabDFYl8QKLrxvFV86ds8C1n0L5hUi5uTbWo/l7S5EEuLIgiENaYQOK1CvoddtRlcasHaLkeYCqmJa2/b8NuKNJUTOwVnYBu0FyGZwVixGLFqMKPZB+EuTW2qfDtbVYJuZRks4hLqBlBYeOVJtZsEi1UBg/AdTbfzpXCvDWDDOaOBQiy3WlwWPK8F1W35MFFqsfOOf7LaPuxK8p+JNK6/h2IOqzM5q3r00h3/vHUR5h2K3jT2ngDzjFJKf/BL52tMQ9UnU/9yJHqtDtY4aehLRXUActBjy3SAliYoIdJWC0001nqAahzhCcrDMobes5agFh1LxPTJ33IYKQtNCnTQenTrV6HpMsqWMcCzUpo3IzgxSliCMTGar70I2Z+YR48BU62wX3TEHRYpV6IGgajJ0LduQ5iQCVYZsO5EOObRdMRr8fgyuZzCDGbw4uOaaa/Z42TPPPHOf1rHXpO4zn/kMn/vc5/i7v/u73R6/8MIL+exnP/uMpO7CCy8EjOrj1a9+NUcccQQdHR37tMEzOPDhSNMunYquas1bdfvvZTS4FFu4KF1FtYRRwpAkCUUnpRpPtYLL+/zF5g2fqZytEtzKOML2aGR3zm1MV/6UTglUlXpi0gRAkqidFeQwldwxLABDElf0GaKW6pha7LEttHhgbJyDOkJiZaG0IGOnWEKTasHDE5fgWSar1paam7dfTqIEf3GoqUzdP/ZDUg2Li8leG79WYrh7xGVZW0rWbseJUyMglrYhuWDuYlVihvlHq2AJdJCggxTZbm6wZMFF9hWwKhHCt6C3E+F50NdtxASWa4gINBWvPzcCFMtuRX1Nm0GXokEytklNEAg8K9dSKlvSIUiqZGyJJTRFN6XdsymFgp6M5uJX/ckz7ucz4U0rr+GIpVW6PM0hHTGZ1Q+gNgziHjOA6OlEj5dgfDvpB9+NXZkCy0YumYt7XAG9dQihpkwLdnAElnSCgg5vLtXYJDRIYZGxJaVIotMG6f1PYs1eRH5yDC0FesrYlwjPJt44hbusE9HpNz3nLJzXnIS64yF0pYGQAgo5I8jwE0jM56KroyR9i3CEIExqPFkZZ14+SzE/BxnUzGfn+IbYxQGbgx0c26PYUXef/cDMYAYHGv4IhRJPLWrtaus1/e9pvGgzdUNDQy3rkV3x7ne/m6997WvP+VrLsjj99NNZs2bNDKn7I4ZrGZEBgNZmfm4quqqZUQkZu4jEwpYuUpzCr7f+iHYvxbOMjYktjedcqOo40kMCaGXED37RRCklUeuPPhMpMk5X0+zSBimZCLejUZQji1JkUQot8o5iaVuAFLClai6gUphZpQfHFZ6VkLXNditt5rcaiWQytKjEhhBsqXq0u0mLIIapwBLweMluRTMFKZRjj0r8zPFfz4fzlp/Df22+go2VkIUF8O0CXhqDZQQjYloosm0zengMHSTGjy5IwBLEa8aRbR5WXw5sG5m10UrDWAmdzyLmzgPbN9W+eh2R7TAVUMdHJC5EdaTIGxNnK0OkGmTsYvN4Wc39rrW2N1ERU5FpHc7PWzwyoenyoOhoNlbEblm2z4Y3XHEtfQN1TjnC9KrHQ8F/73DZmF/Gue96NXp0HXrDevOBRTHe1CRxWzcuDjqqQ5ogPBfd321EDO0Fc4y0IkobJDpCK0VnYBFdfj2djoXqzpBsnoLrbkR25kh3TKGmQqL1FZzZWZx5RUOUSynOkg6sM9+G9guU+/rYWgs4pH0O8r//C1wHUQ+oHnMshdjMbyYqJExrBGmVdjdl5TrFg2Oj/H+LYmbnYubmc6yv1ImV4Ip1Ob598tnMzj3nIZrBDA4sCLGf7dcDz9Jk13m6m266ic9+9rNcfPHFrFixAiEEt99+O3/7t3/LxRdfvM/r2Osj+upXv5r/+Z//edrjt9122x6lQBx++OFs2LBhb1c7gz8gVKKkmaPpNOOOBOIZTsVUJ4TpL1nR53N4ZwcD2Q/Rl/mzVpyYaLZT0QqtU3ORnhxEb7gXvePxnRW86S+O5v+11ngyi8QQkEQZ77np9AhLaNrd1Pi/OQrPUljCdC7T6diwQsTJ/XXjZZdIfMs8L4WmFNnsqDmUI9kSQVjCGA9nbc15y89p+dpN4xcbr9zj4/fJO1bxP0MWw3W7dQwBCMooUqiOodfcYapW9aDVctVKG780KYwBbpCYY+RaWAuMCa4Y6AE/j7A9SBPT0m57l2nlTs+GZdtJVYwlbKaiYeMTKHOmja4iqnHdBN0nk2gUtnTp8h0kFk+WU2ypmZNLaXcNOd407jz7zgKnXfpLFiys0FtIKceCJ8uCbVOSjRMWjjRK0QekTfqy1yCOORq6eknae4lVQEAAuU6oVI1FS18XdHWY6hkg2gYQQmIL11SNn3jEZNwGCdHDo8iCS/TAMPGaEdLhujEc7nDQQYLIOgjfxjm8F+u0k4hch0RHTIZ17h/1uW9sB5MvP97sRDFP3u5ikBEC16i9p6KxpnjGYVNFUK863Dtm8+iEz90jEfVEcvkTHm5TDDGDGfxBYXqmbn9+DmB8/OMf55/+6Z84/fTTKRaLFAoFTj/9dL7xjW/sZhm3t9jrSt2ZZ57JZz/7We677z5OPPFEwMzUXX311XzpS1/arWf8TD3hiy66iE9/+tN8+ctffkbz4hlF7B821kz+gIytW2rUnN2B22iggykIqyBtot6dCmulExQpsQqoxj83Cktp2qlBWjWVu0wRysPNOaQmU5JGAamVRGgXLJdUKEC18mRTnZA0SVpPJiFjKaqxGYxPtCFCGVuRdzRzcpiqVNogSBMaicSRmoUFzZJiStZuQwobz3ojtw5ejtKCcmSRtU1GbM6GufmEobrNzzes5ITeGEfq1uygZ3l7dPy+cM8q2ptVrnoi2VqdZGHRRUgXq7QdabvoODB2Ghu3oVON1Z1Fh00SkrURiw0J1PUYNVJG9hYNoTv42JYpMZY0s180lbtuzhzfTBEsG5VWiVSDTRULWwzuEkkWkyhJLGIc6TQNoKEcRU17EIcwFdw+YjNUhySWXHHG00c2pvGGK65l7vwajcCiVheUJjzyhRhpaQa35bhsu+IHv5W0tftAg/bOIn+6LGJFMxPVDupgebDkWPTIOpiYhE5TEdZd86glU1jKRiAoOj3o416LvHc9qh4jsw7pWAMVKtTGMmkiyCwvkqoQqzuLNb+D2utey1C9RF+mjTAeppHEPDqRpeBANZbcNSJ4qHgcbqw5dXIjK9cV6M2U6fKgHOf53foM8/oCImXmCN930094YlTgehLPNncEkzWLX404nPfMOrQZzGAGByDWr1/f8qrbFW1tbWzatGmf33evfer2xGMFnt1nZdfX79o/3lPz4hnsOV6qPnVbqt8ja3v4Vh7PyuFUJo0qMKwaO5JMe8vqoXU3lkbgvJ4ovY56unNuyxdZQ0TiwJjMCmlMcgFdnzQVJ8dH+8ZnLkirLRuSVMdUooRqYtYhMQkRcZPQOcIkU5RjE111SIdNrMyMmSWcpljAxrUyLWVtPZkiVkGrvfzYpMWrZ72XG7f9iIxt2r21WFJLjOBhcVtEOZJsqtitqt6z5cZe9MAqUg2OhIyl6c/ArFzC8T3teFYOMbHNHKdayVToAKIY3QhgbNJEgYHJe/U8Q978Jpks5hDdC82xqplZRLLtRu3bmDSfh5At779A12kkxmdyczUkVoJSaDVzcm1eP0/T4c4iVgGVeIy7RgTbapKiA6UI7huV1KvOswoizrrqP7FtxVRpJ9mVluaG972Rc6+/mvFRn+vOfTNvWnkNUWRRKES4nmLrpgJHHD3GP56YJUvGGFFvWQvt7YaUelnw8kbl3Nbf+symVdhOFKNuv5Hg+ifIfLRpgO5l0RvWIwo5yGcJZi8lViFPlqt0+wlrJn1W9PncMWxU0HPyMfeNepQi2FgRjE94KCVwvRQ/k6BSQZJI6jWbzu6A775i99bzuddfjZ9J+P6r3sU5v/wZ3R0RQ6M+tq2eU0AygxnsL15Un7onvkGxkNn396k0aF/2yZfc9W1P8cpXvhLHcbjyyisZGBgAzHjbueeeSxRF3HLLLfv0vntdqdtfj5Xf/OY3+/X6GRzYaCT/Sbffi2flsGplyJ+BTi4zrVPV/JkeoN21vC4kpDfiygyulSFIq2htKm8I2ZqPwmqe0ipBWA64WcqygUySpknx089fp0nkEi2e9mzaNKCtxZLbhzSx8sk7iqO6zc2HFBYSi0ZaaRkTQ/OmRiWk2uK6LVcAglP7z+OaTVcSpIbQFV1FI5EUXbWbV91VT66kP7tTQHHFEytJNRQcM0uWkxpHGnLnWcaMWenUNJPTxBw73zPWJZWaOabtO7/0RF+3eW50AianEAO9hkDnOo06czo5okmUhd+GbkyZx5OIyBatmTlXZlhS9HmyPMVA1pgLO9LM1E37DQJsrBiVbyWGWmIsSp6PoIShRVdPwE/Oettuj19xxjs45QfXcdI/3cjtHzuTU35wHdu3FpDSrOus+Qnba6MstTrRpe2matmM3CKJYGiLSZjIhOBlyaYORDV0vguSGunaYaMEnk6dKHQbs+B6DdG7lEo8Tj1JmJOzqcaComt8+DzLZbBuUY09ttSEKXgKmNcbEitTcauWXYrtIZ6riEKLrZsKnLX9P/nPPz1rt/0DQ+6Chs0/vfFs3v6zX2DvkwHVDGbwEsUfoVBiV/zwhz/krW99K/Pnz2fePONDtGXLFpYtW8Z//Md/7PP7vuhfE6961ate7FXO4CUE3cxsnbYj0aM/gKBq/kCLvQivQMO3qSdTdMm3gv6NqT4lJnIJrUhRSCyEdEgFWLYLsogudBn7DCXMBbxZWUrjMrVkEqDlU5coY+lRcG2IEuJEoDTYwhAlk6Fq5u0ylsKWkjCVKG2WG6wrHKHp9BtMhnXqiaQva7WsPrbXNGFqU45M9SpMJbcNXcbBHXErmxaMIMORmowFjdTMmOUdhS0194/9sJk/Kowpr6vp9TXL2lIytkJpk/9ZT6YoOj2mYmnZUDXGyEQxIuOja3WoN6C9iHAcE3YfhCSbSthzCmbZNDLGt7lO87uQO48hIPI95ti7LhYQx2HT6Ngokauxh2fpZlvRvKVAUk9KRKrBmlKBDtc8NzTqP42oTeOsq/6TRsMmCj1+++Fnjwq86c/e0PrddhTvP2OYdVOCPzuozqLiHDNn2KgaIurlzbn28B2maglQqUGj3DqnSBNoTKJtHz70PpyggV5zH3pyCiEldPQhBg6llk4ZFStQcLooupI2d5JIqWbyhYluc6WNtMCx4OS+GEvATzdAFFoEDZtq2SGbT3AcRRw/88XpijPewTv/898B+Pn/91be8Yt/f9bjMYMZzODAwpIlS3j44Ye58cYbefzxx9Fac8ghh3DKKac8p5fv8+F/5d6vVCpxySWXtMyLDznkEN7//vc/Y395Bn84mAivJGMVzFC9EFB4B1S+3bThkIaQOD6pDpDCYiq6CmgqKi1I0jKk4EjfKGM10BRK0EyW0GgaIibxIUpDknAjiUrp8k0rsJFUEAg0Cks4FJ1eur0MQqVg2ZSiIaK0Qb0ZH5VqUEBfJsHKxnT5koxdwJVdBGml2W61aKSSh8cl5chBacHCYsjiomRHDXoyCX2ZmKxtI4SN0ibf1JGajK0YD8yMW842itpppW+YSnKOqealGpYUU47t0eSdTmrxJBNhSMEBSxQI0iq5lpDBhyAyZE41S4CuA6Uy2nUgnyXdNIZ9zHzTUuzuReS6jPFt3DCzdI0S5DoR+W60tBBpTGoZkpbqhFTHlCPNuimf/mzMIR02YVrj+B6TaevKTPM4a4YbDkd3aTo9zYaKYGj0mc+P0y79JbYtueF9b3zec+nc66/mjMURQQpvPg5O6gs4b9kAbpiBOEVPbUEHVXNORcYmRMeG5GLb6Dg2LWoZQRBCPmuIq5A4SkCm3cSKubZJoojqICQZu8i6col5eWN1U45GuW6LRznOM9oQdPmaSFmMBzDVkCzqUCxtC7lvNMuyNs0DdUW17KCUIGhYxLHEcZ69+7Er+b36rc9MhGcwgwMSM+bDCCE47bTTOO20016w93zRj8q9997L4sWL+eY3v8nExARjY2N84xvfYPHixTNpEn/g8GQWKexmykBIrK5HDxyE6FuOaJuNaH83eG808VzsPuo5PfophMlddaSPG8XIqWH0xGYzO6XVbhFj0/+XzZuenN1Br+yjS3ThWbmdytvmXZGJBVNNHztBNbYYCxzKkSFdqRbN1xivO0f6ONKn6KYoTbOKJ5BCYzdbgW8pJrwsmGRB4YMIsVPlu6wtYkEhxJOKWmy19jNn06rAmW0SZGzFCT0J5cjCEnbLBsazzBxqS0XcNR+RadtJ5MBkm9qWiclSGrIZSBLsY5cgutrBNhYbOpgy1ao0MoRu2v7Fso1Zs4QgqbQ+B1PxhA4vJVaCgtPNQNrJg+M/xJGavNMFQRlXZpoZqpC1Fc5zfOO4bopSz3+H+r6bfsIVp7bz5vkO71nWxV8ceg6Hue04o1tQD96Ouue/YeMG9JOb0Fu3N49DhMhlzXlRq0O5SvrAOvRUBT08BraFHttobhCCKnpoDWJgGcxdQjTvUJL+JWg0kWowKwvbaiG3D5f49VaPXz2e4Z5tLlkHBuuCNaM2wxMu1YrLlipcuzlHmApSDYf2xYShRXtnSBRaOI5qtY1nMIM/KrzI6td/+7d/44gjjqBYLFIsFlmxYgW/+tWvWs9rrfniF7/IrFmzyGQyvPrVr2b16tUv6C7/8z//M0EQ7PHy3/nOd6hUKnu1jhe9UveJT3yCM888k+9///vYzSGRJEn4sz/7Mz7+8Y9z6623vtibNIMXCYoUjWoFvZuUh2b2ql0k1Tea6Cnp4oqMabEKSTkaIVINBrIfohT9uKWcNSTE2HLo2jhWEmK7ORoZl1DVaCQxiRIUXHd36w8psbQRPYSqORuGg4xCbOkSqUZLAZs2yVrRTfEsI4YI0xr1ZKq1L43EmAxnbEVfNqbopPRl+vCsHAw/aOa5qj+nJzuPhqqS6IgwrdPtv5fhxg8ZyMUsKCrytpmtG6y75J2UgpOSKMFww2kpdKXwkMImZ7fjyAaxCpkIx+n2e00iQaPcVP4qRCEPSYoenzSkrpgzCQfTmbfTQ1pxAEMjsGARJBF63YPGx83LG2+6znlYQqJIiVQDS9ikKkEKzbx8yGRo00jKOMLioPYeMtYwXqwIXZs8WdrdCXwLHpqweGCLT6369K+d0y79JTe8b88c1L/xigSiOoWJIfDraPUDkv+8GVKNyDnI9gw6SSHrGwsTy4Utm8wxWbTYED7bwjrqyKZvoY3wC+jysDH9tX2El0WXhxHZDrwEkJpJNUiY1km1QmmHK9f4lEsuUyUjhBgfTSgUY1wvxXYUbW0RqYbbN5nnk0SwYCBgwYIqg4MZ/vNPz+K0S3+J65rz+ayrdp+tm8EMZvDCYc6cOfzDP/wDS5YsAeDyyy/nrLPO4oEHHuDQQw/lq1/9Kt/4xje47LLLWLZsGV/5ylc49dRTWbt2LYVC4QXZhk984hO8613vwvf9518YE/Zw2mmn7dX6X3RSd++99+5G6ABs2+Yzn/kMxx133Iu9OTN4EWEJhyht4FtvJlHX4QrXKF6FNLNNTezqW6e1alXnJsOVRpggLONzl++ExuROkQQYuw2d7iR+gMRqql0TcF0sLVFx2lyXiRJrCTQwVah2L0VGKeXIQgrdiv4Cmk1eRS3WlCKNLWWrQicxiRkaY9tiFXohKKOro4QZ44U2jfHgR/T4xvpjMtRIoYmVpC8TozStFiwYYnlMt0Wb00c1mcCRPqlO8KwsRacHt14ztU3bhVy7STDYssVU1lwHkhSRyZj9rAdQzJnfo9iQ4jBETAxDsWPn46JuQuiTEG17CCTVOCTnqOYcnU1fVuLIFNfKgEzwRZaFhVlEgBenlOQYqTZt7Hk5CGaH/J83v3238+LV37me3374+Vuu0+jwzuFjt6/iS8f10K7y6LX3Its8RFsOPVYhfmwU57A+E+c1OApbhwyhW7wA0ftB1N0fNC3q7Vth/lKj9FUKUewjtgSNeJS804nMdYGfNxFxac2kkKSavOOzoyZxvZTRkSy3/vnpgCFl46M+fQN16lWbJDbLBA2LfDGmqzNhw7YMtZqDbSvOuPy/cF1F0LCbpHaG0M3gjwgvcvv1zW9+827/vuiii/i3f/s37rzzTg455BC+9a1v8Td/8ze87W1mzOHyyy+nr6+PVatW8aEPfWjft3MXaK153etetxv/eS40Go29Xsc+kbr169dz6aWXsn79ev7pn/6J3t5err/+eubOncuhhx76nK8tFots2bKFgw46aLfHt27d+oKx4Rm8NBGrAKVTRho/ROm0mRjRFBckNrEKm61Zwbz8BwFI9Y3NtqhGSmu39mc1niBpy5Eoh5zdTsY2F8UckHPg4YlLAOjwTNsSoJGUSXVMh3cOtw1dhiPL5OwS8/IFHOmRqgStNYlKCVObWEEjsXgoypJ3FEU3ImenpkWaWqYopqfbtwKn2UqLVANbuFhTQ6bt2daDVxrHL/ahbAdPGn/GWrINT1j0ZTMtMioQKFISleJIE6uVakGYhoyHW3Gkb9SlWlFwutGl7SY1QZpWKkEVqlVDXGoNKFWMT11XAvUmea02wLUN4QNERxti3mHgZtG2i8h0mNZrbRxd2o4o9CFtq6kEjpkIHVypaSQxGRs2V4ZZbneQCoUbhJTtGNfpoBbsIFEWb5hX5eHxDNtrO79y3vGLf2d0OLtP59LIuMdvtjd47ewa7qHH4B3xCsT9vyV+ZBDnmDmooRJyXg+Uq0YgIgR69Vr06o9AMW8qeOWa8TIMAjNP5+Wx195FcenxlOMJEhHx6OAEw3WbcgxBagE5ghTu3ewThZLDjhhvbdN0le3l/3IDXT0NBrebu/GungblkottK1OxiyXXv/dNnHbpL1FK7Cb6mMEM/niwvwbC5rXlcnm3Rz3Pa2XNPxvSNOXqq6+mVquxYsUKNm7cyNDQ0G6zbZ7n8apXvYrbb7/9BSN105Gpe4qzzjqLzs7OvXrNXpO6W265hde//vWcfPLJ3HrrrVx00UX09vby8MMP84Mf/ICf/exnz/n6d77znZx//vn84z/+IyeddBJCCG677Tb+6q/+ine96117uzkzOIDQ5v4ppejHrbalKzMtixEhJJawsaWLbwkmwispR/XWbFkjlUCdgpPSSMuEqeT4nvcxHvxoN0I3jaueXEmqfWIFR3Tu9H3LPyW8QDbVrgCJjvBklqxlBDtFt0aiK6yfsgmaI2k9vlEyliKLciTJNg1iG4kg1YKiK/EshS2akV2zDjX+eZaNsDxIIqRSCMciVgEdXge2cLGlh9aqSeYiYhWghaboxshmldCSNhqNLV1iFZC126BeMi1o2zdVz6FB9NZB025tEjaUQnQVTeUqDEFpIxhQGtq6ELkuklyRSDXQqoLs6MGRPpZwENJGV4bRpe3YPfMYyHaidMp9ozGlCNpdY1MyO5fSyExxSCbDhCzRYc+C6gQDhcXYchO3Dea5e1Ts5sl29Vvfxmu/9ys6Ovd8xgRgQ/n7fPEVgnJs8cBYykHtFfqGJ6G7He9T/46+66/5/9k77zi5ynr/v5/ntOnbd5NsOoQSehGVJoIiggqIKBJpIuoFC6KCen+C5Qpe9Sp4LSgdTAARuCIiXTrSFEInhED69t3Zaac9z++PZ3Y2SwrZJAQi88lrX9k9M+fMmTPlfM73+/18PjKKjAACEOmkea6NOSMMaW6FpUsh4ZqTSnEQbScQXgax9R7oRf8k1z4dGjqZnl3Af93aiuvGVMo26UxoyNvOa9+/B75sTgyHXHEzAD1dKTLZgPxQNXrO0hxw4a3YtuCWkz661u3UUUcdb4wpU6aM+fucc87he9/73hrv+/TTT/Pe976XSqVCJpPhxhtvZPbs2Tz00EMAdHR0jLl/R0cHr7322ibb1/GSug3BuEndt771Lf7rv/6LM844Y0xl7f3vfz8XXHDBG67/s5/9DCEExx9/PFFVYeg4Dv/xH//Bj3/84/HuTh1bGBrd1Yn7UHCNIUBC1ube9CrtU6AmdhgRIygN178yl0psMWfW6m2rY7aew9wF645WeqbfIWGBI122aSwyNROTc9pqvm9amzSIUEGfD4OBZGkxSaBgZtYQwYwTVVuvJiLMFppQCfr9PhJVkUG7AuFlzexgIocixkZiWy5CHIgf/3X0eWKRUQkIFFG6lXzYQyEs40iNQNZm/mIVmqzcsB9he+g4RC9ahEinzBxdJUaAmZ1zHYgi1KvLEemEab2O3OYXoLETO1ZIO0MxGmA46EMKi3Z3ijEbtk3eqzPcj842say4nD4/xXAIy0qCtK1ZXLT50OSYl4ZW0Jowx0ZHPpEKcGSiSpytMcf/6BtvoKVtfKrOy1+cy5EzsvhxiSmZJh7tHiLjNKMevh/RmEI9eiLCsVCFgPDlAZypOaxZ0000mm2hFy1FjMwUBhGi5URI/ZnAdXDBzN8lkujSAJQGaG+fwoythwB44sGOcVXVKmUb21bYtuLmOR/j0Kv+QuBbSEuv066ljjreEdhEPnVLliwZYz68rirdtttuy5NPPsng4CDXX389J5xwwhiT39dbiYyEImxJGDepe/rpp5k3b95qy9va2ujr61vDGmPhui4XXHAB5513HgsXLkRrzdZbb00qtWFtmDq2TNyx9Eqk0CgtaEtGNdsOiLCEMfwNlUfOVawoOjR6cXX+TFOMDMkL1ajQ89fPzqU9AUdvNVqVmzNrzckMr4cloKdsG1GF04vC/F2OJH7sMiMXsFUDLBxy6TPFHwZ8s7+F0K0aAeuqFYki45i26Ii6ttJkbFiMyCK/ilefxPNvxAurlapMq5kNDAuAyb7NOq1kHRgOexn0yyRtk1bhSM9UA/Nd6MeeQldiwkVDyJRNPORjNXjIBvPlpv0Y4Vm1361pk4whr+2aBIlBoxCVuQ6ySmIn2lE6pj/qohCWaEjlSGRn4A718Up+BeXYYlomZsC3qMSaRQXBV3aIcGSaQJVJ2Q3YlRJaK9wgJOlkaUv2054c/QI3qQmsMyLs9Tj8mj9TLDTxx0djpkxX/G63mPeFPejHnoHJrUTzl2I1J6g8thJnq8ZqPFpsiNyMyYbcNjdAJYDpMxGNnSh9J32iHxEaIl+KIjomzqiJWfLFlXxypsu3r57M4986aL33FagRt4/MNdGJpaKDlLrebq2jDkx3Rgjrje+4jvWBmpp1feC6bk0oseeee/LYY49xwQUXcNZZZwEm0WEk3QGgu7t7terd2x3jJnWNjY2sWLGCGTNmjFn+r3/9i87OzvXeTiqVYqeddhrvw9fxb4IPTj6+9vuLgxePsfCgamdiiWrXzDNmu7EW9FQslhZcVpYh50Cg4LGey9hngiYfWNy25Eo+NOX4NT3kGNyz/Ap2bNY0ujGW0JRjo2BdVnQIlagZBq9qRLxVQ0BbIFletOnzqQkAEhZMz5g27qhBcS+2tKqt1VVEIEISqQquTJooMQujOC32QRyOxqNFAV6o0JUBKOdpchI0p9vBy9ATLMaVSaLLLiLuKiHSNroSo/rLxF0K2ZxAK41WGtngISenES1NxqdtSqfxn0s0GFInJHrl88Z0ONlITISjFbaWVOICkRIM+HmkyNOcbWGayFGKhugpQzEyP5UIWlQWIoUu+Yj2BvTgIoSTxHdtBv2lLB7O8MKA5AMX30JLW4Vdp4XMX+JxyBU3c+sJH3nD18sQOoc7P3coR/3pRlo8IHMUPP8dhGVBMoG95wz8W5/FH1CIFQV0KcKZ0WAUv64HWiFm7wLlPMLL0hf3cP3LFo91J9iuSbF3h2ZGVlCI+olVxIMrUzjS4mPTP8Oj31j/9/brMdif4AMX38I9X6yTuTrqqOFt4FOntcb3fWbMmMGECRO444472G233QBqUV3//d//vdGPszkxblJ37LHHctZZZ3HdddchhEApxYMPPsg3vvENjj/+jU+mddTxeizMm4pSe3WeswAA0atJREFUyla1aCyA+1ZcwaBvxAgZxxArpU07FEy1LrHhF3prRKgEhdBEd+XcmIyjKIQSS4AtNZESYyK9LEHtNqUFTV6EZyVI2a0Uwv6aIbLxzFN4MoFrG7sWooqx0AhKq2zQpqiGiUVEzm6C0sDol580H9eklSNp54iGfJQfYSUsY+eRcqAUIuRou0AkXURnB0yYihjsAjdlRBBVPzaSOUTrVujehfQnIeu0EikfX8dVaxeLnKvwY0Eh7Gd5yaIjGRLrFI0uvDQk6EzrWkYsbsp4wjWYq91yPMi/elPMeyLNjZ88gg8suIW9ZhhFV6VsrdWjzShiR1uUUmoqZfP8bUcTazjrkXn86F3vwy7m0d2vILc6C3HX4aS2y6AGfWSDh441emCI+KlF2B95HwytREzeBZ+AOxZFPNkn6F6RYtliybVdKRKpiMCvVjULmke++8GNfk898OWD2fuCO9j/N7fVlLJ1vDEe7rqc5wbMXGjCMsbcgwF8fef1q8DXUceq+M53vsOHP/xhpkyZwvDwMNdccw333HMPt956K0IITj/9dM4991xmzZrFrFmzOPfcc0mlUhx77LFvvPG3EcZN6n70ox9x4okn0tnZWYu1iOOYY489lv/3//7fm7GPdbwDMBKd9VjPZfjxCCkRNCdiJqUCPCth1Kk6wrN8dm/9LACPdF+GVZtlMwbB68LDXZeTtBUTU4qFea/Wdm304ur8nKgStVGyESlBPpKkbFOJa3A1lhAMBOZkk7ahJRGRrt4eax/NAK5lyJst3VplTmgNcYSyQI5cadquSXFwUya1oOoHB5i5kTiAgV70ysXgOmSm7Ai2hci6yEoMlkBkXfAjZHOSaEURZ4aD1Zoys2MTpyMSWaKmiaY6WBwwlTlRQg93IdItiIk7EPqLeHV4CRNTRm01YucSKkFPxaG/YrG0aJGwPCwBe7WXOKo1x13DFR4oDLNv6xQIK4RS80h3F68NO2QdTdLWTJxUYs5f/0RTi+TvT2cpFR06pxYI+yQ3LvoDR874zJjXaVVCN+evf+LGT36CU+69GoDtJlfYsdG04a2nHkA3ZiGRRN30OVOZzLroYoj3yffQO2UCje5EHCW4ZXk3e3UksaJurloAf7qvlRMO7OWgSQV+MredRDnAWx7hNyVqZG6fc27DK0eUJnr842sf2KD3NsBDX914cvhOwSv5i2j0knQkQwZ8i6VFidKjucFXvTSX7kqd3G3x2MyVuq6uLo477jhWrFhBQ0MDO++8M7feeisf/KD5bJ555pmUy2VOPfVUBgYGePe7383tt9/+prly3HPPPRxwwAGbfLvjJnWO4zB37lx+8IMf8K9//QulFLvtthuzZs3a5DtXxzsLUqxetXm9P1ysQ/xYctVLc9muKUBpgS1N6S4fWBTCdZM6KXSNqERrSC9wpGZCKmJiKiBpS4qhue/igssqBbBatc6qLjNk0GzblYKklSPjHDXGLFmjTOYtJr0Cy0IO96ILPYhshyF11ecJmHiubAdaKVi+0hC0RHUIWID9/l1Rjz9H9MqQIXWxRhNjtSbQldioO6txVlTFH6GqYKfSOABxgLA8+uIeXJJEKiZSVvUYlyjHkgnJGNdKoXSJZ/tdhkMzy3jUzIDWFQMweTL7ZxrorbxmzHuXvYKevRfPDTgMBrBbi8KRmoQFA0pw3ZEf56sPzWN5l7H7+Mb7B7h9qcORY6c5avjI3Ju4ec4nOOuReUzKmGVbZzWfaNH0JWJE4ofE152I6Gim8tAyM1PYVUQ4xqPu2fQkrl7Yz6KXG8gPTiTX6POVA/u5+nozJ3PdIw0MLPZIFkOcIOaOn4+qUfc55zYcPybfmkTGa64o1rHpUYgkLQkbz1Iobapzljcy6mASYqwta3a9jjVhM5O6Sy65ZN2bE4Lvfe97a1XObmoccsghdHZ2ctJJJ3HCCSespuLdUGyw+fBWW23FVltttUl2oo53Jq5baNSpSXtEGCGqxrtG3dpTcRjwLfxYVv3iQjpSmvd2nMR7O8wVfVfZqWXdjfjFXfLCXE7ebvWr+MWF3+PHHoVQsl1jhX0mOLhWklD5dJUC+nybYiixpa75zaVssKSFZ1VqRsDlSDAUWOQcaE0oGr2YWQ0RAokl3FpyRjn6M43uBNPmDEtGWekkzAydaxIu9EguaXkAUTVgFok0jkwQqgqWdLCybWheQL28BJFNop9+Cdqb0Uu6UYM+cW+J1Lf/j/J3DyPureBMzWJPzkLCM/5zyQZwU8S6hNIx5ShPKF1SUQBOgpRtFLU5t5lYD9BXGcaWmkYXUnYjrxaGKUcOu7dVuH9FgnwID690+PC0nXEqZax776Zt5SC61SRYOKX7mDZpNhNiyY7NZS58PktnWrNdY4XB4Gq+t4cmVIMsL0HSUjjWWJ+Z/X9zG23tJbaeUubmOab1MRjAzhnNOU/M43ttXfi//DutZ/+F4JefQIcK9WQ3xRWaoBzT+u4EajhATJvEnm0ZZjX0ctLLDWMqbR9ZD2eBB79vWqUf+upNKEuw18/u4tFvjE8sUcf48WreoxyVafYknqWJtSBU5sLgtB3mcMkLc9cZN1dHHVsCli9fzh/+8Acuv/xyvve973HQQQdx8sknc8QRR+C67htvYC0QeiTMcT0RxzGXX345d911F93d3Sg1Noz67rvvfsNtXHXVVVx44YUsWrSIhx9+mGnTpnH++eczY8YMDj+87qq+qZDP52loaGBoaGi91UGbG9ctnEvSVshqjmhHMqwRvH7fmP96lpllK4QSP5YcNXP8bZdXh39PxvF4qs9c5W/XGOBayVpLN4jLCCEY9CP8WDIhZeNZqZpfWz7oprcS8NxAoiaiUBrSjqIlETE5HeBIo0odUadawsGVSdM+rc7DoRVEAZFjG/VqzwLjM+ckoGU6AkE5NmaaIzFqrrbQS55CP/UiOozRw4EhMv0VVClEFQIArKYEqhThbtOEbM8gZk1DTJiJznUgVAxhBeUlKUYDaK1xrSQCSSUexrPSJESKfNRHrEN6K2bOb2KqmRWlfpYVXfKBxY7NZRYMeZQic8L98JROhBAsGHqZWanJYLnctWIpOzXHtCdmcPPipQC8OCSZnoF3tRdpT5o2sOP7YLvMH17Ol66ZzMTOIratOOu9Q/RXbK56weOSA4+pvYb7/+Y2vvyhXo569u+I9+wFSxZTvOwfJPfrRH7wIHNshWQwbdGYL0PrTIQ4cGPenmOw/3f+hppoEfgWoqw2ybxdHavj+YGLSdpGoNRVdvhHl6lOB8qMOljCzNd9cXa9/bqpsTnOGbXHWPEHcrkNd73I50s0TPzM2/r8tr548sknufTSS7n66qtRSjFnzhxOPvlkdtlll3Fva9yVuq9+9atcfvnlHHbYYey4447j9nD57W9/y9lnn83pp5/Oj370I+LYtKYaGxs5//zz66TuHYTbllxJzmWtatW7ll2BH0tSdoyqtTk37LGStsSPK8zIShq9JM3WVJA2gfZHSRSjl/+rRpUB1dgvc0KRAqZmg1qcV8bxaPJmGvuSuDAmomw1aAW2i1WV8otUi1nsD5v2rBY1yxMwxE4vfRr1+HMIz0b7MVgSQoVW2siDq61BmXWxJ2eRs6dAoWQsPCzXfEalDX4BCWipsYSNHxeRwqISF7CFC1KZip3TBglqz6MYWSRtRalqO9OWNP6SrYmInsqrDAUm+aJAid883c9ebdDuTYNCL0uLkslphSVgciZgqtMJxQLk2sFzQEh2appBKl2ipaVCrKEYWuQDi1/sO7Yc47oxttRoP4LnnkPuuR+Z/z0IPbAE/AJ++xQShQLLiiXOfC7NRe/bdIQO4L5zP8z+3/kbicka5dX7f28WQi1IYj6PUmi+OHsOFz43F1eyxgp8HVso3gbq17cLdt11V771rW/R3NzMj3/8Yy699FJ+85vf8N73vpcLL7zwDZO6VsW4K3Wtra1ceeWVHHrohsnzZ8+ezbnnnssRRxxBNpvlqaeeYubMmTzzzDMccMAB9Pb2btB261gdb/dK3W1LrgQMSfrg5OO5ZfFV+LFgx+YynqVZUXLIBxaDvkWsjaHwhqK7fCmV2JCRnJulUZvjEbsuxXCA3spQlbBkyNjNCCGJVUglLjAcDvBUX4pyJEnaxoeuIxnS4Gpircg6TbWql1csGOPaRAaRaMB3ZHWWTtbm6VYlbFalBFEwml0rbfO7ZUOy0cRYDSwxyRHlMrpvEP1qFyLjov2IeEWBaGkBe2Ia55PvQzR0Qhygg6IxPM62g4pAK5RlIbGqqtYKka5W+IRDpAMydjOLhhfTkWxgWTFPV9mhNRGRcWLKkeSpvmSt7fX+To0jPbIqxfziSmZkcywvDnHFSyk+uVWF7Rs78KwUdy1bzKRUiK8ky4sOh05qR1sOQ2EXAL9/XvFin8Uu7TEvDAq+tlORrXIzKEd5rnulzB/ub6Kh0cf1zPG54ANDSGHRfOeDkEog33sQeBl0/2sw1IOYuA2kjtzg98kb4YNn/IXitAS2o7Bfjbj7J+ufWVvHxuHXz5pxjdN2qBO7NwubtVK3ct7GV+omHPu2Pb+tD8Iw5M9//jOXXnopd9xxB3vuuScnn3wyn/70p+nv7+ess87iySef5LnnnlvvbY6b1E2aNIl77rmHbbbZZtxPACCZTPLCCy8wbdq0MaRuwYIF7LzzzhsUYFvHmvF2J3VvhGf6L2FZ0czVbQyhu27hXHZtLTEh1UjKbkTpGKdUrFXNcFP4BMQ6xBJOLSfWGNAWGfDzPDeQpBzJms1JRzLEsxSONHN5je4EKOfRy18wLNV2DbFrmgJCUlB5/LhIxmlBCquWeevgGEuToIRWobEDcdNmfS9jCFnVnFgPLjPL+7rRry0zVbooQkzrhMkzoHlqjUAqYmObAog4BCGpUEFXyWOgynhWulat01rjqyKOTKC1ItIBSwqaZi8i56ZI20081tNDT9km45gB9ucHLfaf6LO04PJRsRL92nLknvtR8WyUNnFnw+EAy0suPWWbRcOSYgTtCVhcFDz0dI62jjLH71jm/ZM6sAuDkG1nMFzJgqEKNy/2mJrWPLTcpDDMalR87R9/ofjPfhp+dAzBpX/hxc99BE9qpmcn4g4PIBo/s8b3wKbEB8/4C3f8/KPs9bO7UBHjNiWuo463KzYrqeu6ZuNJXccxW+z57ctf/jJXX20U/Z/5zGf43Oc+x4477jjmPosXL2b69OmrjbmtC+Nuv37961/nggsu4Fe/+tUGxWfMmDGDJ598kmnTpo1Z/re//Y3Zs2ePe3t1/PvilbxXsxjZWFhibHsVGK2OwWgGLaLmKReqCgN+nn7fpi0ZkbQUHSkz5yZEEoEg1qb6F+sIy3aNQnUEcWSqcLaLQODIBIEqESqfIC5TiqDJS+FYCTLJHBTXkMgy8mG2XEg1mvzYSVnIZMy2KwGUKrVWhNIxQmgiFeBZKULl49gelPPEdowlHXMfJH5cJGFlqcTDxiRZuGhtcnmltrBlyKvDHts3VbCly7aNGj+Oq+TWzEE+3OVRiQG/35DZOCKhU+TVUDXjF6Zn4b4VkodeSiEtzXaTK/zwXcdy+Et/JvAtHKmxXnsKWmdQjvNEKuD2pR5pW/PSkOCAyTHTshGv5G3yJxxKwykdBDqCr3+OYm8P/bGgI5XHbZi08W+U9cCIQjaVCVFrUFDXUUcd64F3ePv1ueee43//93856qij1iqMmDRpEn//+9/Htd31InUf//jYbMa7776bv/3tb+ywww44zljl2g033LDObX3zm9/ktNNOo1KpoLXm0Ucf5eqrr+a8887j4osvHtfO1/HvjVG/OpP5eeK2G1at229iiUZvAgmRguIgVjJnVKcVM0uHkyCRaSNOpAniErL6sdDaGAqPeN9ZQiOxcGSCpJ1DCosgLhHpgGI4gCM93Km7oLXCjpUhdW6KWCjK1Zm5YhhSjiRSCKQwebcCgbIdZLLJVO2UIYoEJbONVcgnKkKXh4ywItWImHEiRLeZ1mpQxnKTiEIflpNAyRhHeuCbFq/tpmrVSCREKkAgjJgDSNo505ZVAcWogtI2rYmIZUWJHy8iH1iUIxtHal4bttm1JeIf3TauhBe2nsn22Sk8ObSMsGJizl4YcClGGVo8WFYUNULXmdaccu/V+H6WPx9zOOc/PZf0hDbaGKBRZVkwpHllQNKcUuzaotlvYpGOZCf7t7soKejzl/BIl9mP5wcdPtBZodEdNa3eXIhCWTNErqOOOuoYD8455xz23ntvbHvsd0gURTz00EPsv//+2LbN+973vnFtd72+kRoaGsb8feSRGz6zctJJJxFFEWeeeSalUoljjz2Wzs5OLrjgAo455pg33kAd7xgcvdUcrn9lLqFigwkdUMtZXSviCIISlpch0gFKlZHC+LVNSk9gZiZlCKDlogs9oAsgK6ZNmhj9CIlVrxxHKmxCQq0KaBSjoTLq2YyjiFWIbbnGm85NjU2YGCF3a3xS0jx++c/gpmredooYS8iqhUlo5veqpFCj0FoRY5YLIVDEKB2j0UYsAbgySdaBSJWYmGpnQb6XYihRmMi2Rjcm7SheG3awhNFp3L08yVNeL5bwaE5EtWi1+xd5dDQHrOj1aGz2WVkSZF1NftAjP+hx0p3XkksJ7n+xkcZmny/uVOaRbpfnn24h1+jTPbFEezJBZ9o1Ln9L5pOYOAUpKuQDiwMm+fT7bw2xqhQtbG8DlTt11PFOh5TmZ2PW34Lx/ve/nxUrVtDe3j5m+dDQEO9///trItLxYtwzdZsSvb29KKVWe1J1bBps6TN1mxI9lcsAyNjNeFYa0fOKIV6JjAmVrla+hsNetNYIIYhUQMpuxBOJUVLX/5ohXYPDptXa3FrLUBVNUxiIulHViC2ljf9ePrQohlZV2WmInZnJ0+Rct2Z/krRzZp4vCmpEE0DHvmm7WlXyYlVL9V6KSAUoHRPrkKSVM9FjQGzbtRYsUQCWawirjhkOe0lYGWzp1Sp3IzN+w2EvnpUiiMsUowpT0lsT65CeyqssLbpESrB1g+bFQWPe/ESv2SdHwguDpqLZmYbpGY0lRsUth1xxM7tvn+fR+Y0kkhGFYZfOKQVmTwrIB5Bz4bnlLgP9Hrcc91GO/OP/seesEvMXJ7BtxdzDPsGvn53LLi2m0vn35TZpB/abELL/xM1fpQNjceInbbxyxH3nfvgt2Yc66tiU2KwzdX3Xk8ulN2I7RRpajtpiz29SSrq6umhraxuz/KWXXmLPPfckn89v0HbHfYl74IEHcsMNN9DY2DhmeT6f54gjjlgvn7oRtLa2jvfh66hjo1CzGxESbNvkoLopFDGx8knbTTWhgdIxjvCMzxwYYhdWIF+Aig+2Dd1dkEpAUwcEJbJeK+U4T6wjXGljCZ+EpQjcmGIo6UjqmkUIUFPEakzVzpK2IYlgKndxgHASo08gkSHWEZEK0HGhplytVeT8EqSbkWhD6JTxbgu1T6xDlI5J2Q1IYVdnAkPThhVi1FcPY+FSjiTLSwvIOk0UQklHMiRpOzS5k0jZy1g45JF1oBSZ+KaEBT1DDv9cafO4Etz4ySM4+LK/su8uQxzzHk2fD4lkRDIVcfOcjwHGQDrnukZUMbPIV2+awL7/ezuu5/FCV8hAv0fgW3zpwXls3wgvDjpUYnhXmyJlKy56KsX+E9/0t80aMULkDvjWLW/NDtRRx5aMd+hM3cg4mxCCE088Ec/zarfFccz8+fPZe++9N3j74z4q99xzD0EQrLa8Uqlw//33v+H6I/lrkyZNwrZtLMsa81PH6vjNb37DjBkzSCQS7LHHHut1nLcEPD9wMc8PjM5R3rH0Su5ZfgWP9VzGk32X8kj3ZZvssbTWlKMQjTatWP0mtM30aJtVCFFriYKZx/Msk1TR6EakbJukLVe53SHWIaH2zQJpm8qclzFVRK1G26haoTFCDtNaFqPPqdqSEEKApvbFJ4VFwsrgyASela61l0darpEKsKtpGCOtalXd/X5/kJStyLlZBBI7CAiVYPumCjkHGl1o8TTTsxrbVmRyITtvVeJTf74BFQvO3v1Y9myr4EhoavGxbc0P/jkPgJteS/Fot+T/Xk1x8QtpPC8m1+jTObVAQzakvyvB7B37KfuSZwcEW+UipqQ1LYmYQmhx8MzVv4s2N0Kv/r1VRx11rB8aGhpoaGhAa002m6393dDQwIQJE/j85z/PH/7whw3e/npX6ubPn1/7/bnnnmPlypW1v+M45tZbb6Wzs/MNt3PiiSeyePFivvvd7zJx4sQNUtC+k3Dttddy+umn85vf/IZ99tmH3/3ud3z4wx/mueeeY+rUqW/17m1yjOSrjhCKR7ov493tJ230du9d7pFzbd7TEZrqWKIBHfno4S6wXWSyCWnZ6BXPoJetQDoOMpdGN7YZA18naQhSqtGQrNKw2XCpDFEMA13ogS6sbBOZVBOJzCQCVa6ZEUsd40goRdEYMlezNpEJozrFGiVjYcVU7Uaqd3EEShHrCKVjXJkyM3nSM1Yllm3uG1d976rEsKSL2MrFUhGOkAQiqPrqjfjm2SgdEaoKjvCIdIAjPSalPUrREAlLAILFhRLbNUykQszMHMRKcchUidaKJhp5xV/Ox6Zpmr1GbluiqUQVrj3843zh/nns1pJgWVHwpd0LFELJk302B1/2V24/ybRn9/3f20kkI9o6ypTLNh+bFXDvSsF/fmoFOTfmH90O+QBues1hycoE5ZLNXtsXOHv3Yzf6vbGxGIkTq2N1XLdwLnu0lci6Nv/ssShFkiNnvPm2M3VsAXiHVuouu8wUK6ZPn843vvEN0ukNb0GvCes9UyelrBGwNa2STCb53//9Xz772c+uczvZbJb777+fXXfddfx7+w7Eu9/9bnbffXd++9vf1pZtv/32HHHEEZx33nnrXPftOFN3y+KrmJH1afI0gdLkA4tImwgwR2oKoSRla0IlyLkxttC0JCJyThtpp4lIBfRWFjPgC7Zv+tx6P+4vn5lLewJ2ay3TlkzQ7DvGJBjATSFSTeZLopI3wfT5PLS0I1qmQRyhK0MwXDXG1gr6BiCK0cMFSCURyYRhpM3NiEwbhZRL0s4xHPYSKeOBJ5AMBTFZx5A5jaq1OzNOC5awq23U6k4X+2vVOl397InKsKneCWmEFCNzdkoZMme5KKGRfpmKY6p6SW2IYSypefChoRznaxXCWEdIYdXUr56VphIX6CmHpB1FOZIUI8mkVIwUFncv84g1fGhKRKszCUqDVFIJ3Nv+akyB9/kQ1y3uZ36/YHpWk7Zhfr/gn8/nmNhZ5LIPfIoDf/83XC+mpbVCa1PAyp4Evz2kxF1LBZc9lOOgXfI88EKafbcrMugLihG0JU1E1PKCoNHT/PQ9bz2pq2PtuG3JlczM+TS4Fv/qtfFjycem10nd2xWbdaZu8C8bP1PX+NG31fnt7YD1rtQtWrQIrTUzZ87k0UcfHTPc57ou7e3t69U+nTJlyhpJYR2rIwgCnnjiCb71rW+NWX7wwQfz0EMPrXZ/3/fxfb/294YOWr6ZSFVzXoFq7JYmqHrRqap1SKgEIwlYahV/uRGVphCipq5cX7hy9DFrGKlujfwO1Vk7d1SZJVchTVFg7j/GYkRDEIJlQcKFShkdryBjTQMVYEsXIQWWtgmVj2dpKjFkHAuwsKVpfzrCA8GoalZW26lhBeLI1NQs2+yfXxhtz/pVpaybIrZtQGEp0F4aF0WofLDMTF6kSmZmLw4IpSZp5/DjEp6VNvumbQLLxRdFIh2wtBgDEjvWvDrs4llGtTvgW4QKWhKKlrwPbTZkWvH6FsHENrQfoJc/y/ZNTczvT3LPqy5XHXI0d917NS2tFZQSnHTntSSSKfp7k+yyXZ7jZpXxdijyTL/LLYsSzJw5zLFbF+irCLZvVNyyxGLJkjTzCw5BYBGFksbmCrxnXG+DOjYz8oHFq8Mey4oWgYLBAD72Vu9UHXW8Rdh999256667aGpqYrfddltnp/Kf//znBj3GepO6EbPg8Tgbrwnnn38+3/rWt/jd737H9OnTN2pb/+7o7e0ljmM6OjrGLO/o6BjT/h7Beeedx/e///3NtXsbhAMmncCLg6NzdPnQMp61GjxLo7RECkP8bKmRgCXtWh6qyWCNyYfO2h9kDajGo5K0R6pj0ShJGkmWAHRYTTRJpwxxKvajVYhw02irSqSUAqXRwwWi51YgHAtrYgYyKcS0SWabsSGAGTsHliF0sQ6xoyFiHVIIfTKOR8LKGi+5SmG0+iZtQ+pG9s1LVVuv0SjphNqcnfKSSAGWtkGATwk/LJJ2msaIJTyZMsRRK5xQgazgOSnQ4EgPjcSNwbZNRXRKOqS3ErBgKIElNH4smN9vfOmWFQW72hKWLEb7JdOWXrKo+qIWoHMiHSlJZ1rz4L8yAFz0vk8DcNyt17FNW0RrZpjsDsM8uyTBtdKIHz4ybQJ7tZd5aaibnopNe1IzIRVy5HRFbpt+7lvhcv3f29l1j55aZFkdb18cvdUcHlh5OVMympUlm8G3fgSyjrcLRPVnY9bfwnD44YfXhBGHH374mzJ+tlkMnpqamsbsfLFYZKuttiKVSq1mXtzf3785dmmLwutf+BHLjdfj29/+NmeccUbt73w+z5QpU970/Rsv+n2bUMU0eREdyZAFQwlCJUyb1Y3JOTFJW5GybYaCmK4SBGqIjqRpf74wmCBla25+7So+Mu249XrMRhdStiZl2ySsDDA4ag0ChkiNRHJpZebmhDQmxQBuerSqJ6WxM6mW/XSsq0RPQaEEUqJ1bL5zhGQVvURN1OBIXZtp2yAoNdanSa/66xouvEaqgCP30wqclEnCiCKk5aKEQghJpAIs6ZCwMrQlSxSjgL6KzbKiRcKCUBl7vqStYNIkRGMnev7D5nmHIaIhC9lWIGRZUbDVtoNjdiWbCXl8QYowlNw852Mc+fL/sbIk+NktbexxwkI6oxx/XZzk29tlOef5mIQFbQmYnC4zPQMffV8PrtTceF0LbLhIrI7NBKUFKdu88TZFOkwd/x7QWm9U125L7Pidc845td+/973vvSmPsVlI3fnnn785HubfDq2trViWtVpVrru7e7XqHYDneWPk0W83XLdwLrbUtCQECoi1QApDDlQo8WNDUkJb4enRb/9yLImUwBJyDGFx5Pp/qIdDSNlrITwwOrQ7Uo1bRW1KaRAtbTNnF4TocgX9ygrUkI8aDtGVCJmyEbE21bqEZ7Jc48gYEnuZar6qMoIIHZK0srXqI2FlVBQBo+bDTgJwzW0j+zeihKWaWGG7SC1ARygpkKExM3adJDLw0a6FCEqjVUBtqnYEJdCqZlRMUEI6CZA2QZTHBfp8Q6ILocezA2a0YqfmiAVDNi90OXSXYf93dVCMelix9TZMzyZpdCYY65eghNYBW+U0P3zX2Lm33+xr/v6f+XP57mPz2G1rOHv3Y9nrsbu4Y2mGfSYUOG12A/f09pPJpZicVry7IyJSMUrD57eL6Pd9dv3iOsyZ63jbYMRH8L2rf2XVUcc7FieddBKf+cxnOPDAAzdpxW6zkLoTTnhrzEG3dLiuyx577MEdd9wxJsXjjjvu4PDDD38L92zDcPRWq6dCdJcvZWomwBKaAd8m0maCbnHBZWbOJ+sIOpJpcippAu0TGbLtSZYVB3gln1zvx/7i7NHHHgquwUklSFgtyPKwmZUrDUKmmbhliplzy3ejI9+Y+YahES0oZebnoqhWchBSoC0BlkRYAuF5ZrbOck3ig+3WPO9CZYyBR6xOElYGq5gfJY/VmT0d+8YQ2S8YwhVWjPFxqQ+RaauSvSqCUrVKGCGlDU4CWymIDTEUFUPkdGkAkW4ZbeNaLtofRnjZUR++oARuyswBClkzT+5IhjS6NoGCu5Y5LOoyFw4X7H0s3/zHPDrTSWINnSlFS2IJOTcmVILHF3ucvtPqr/kX7p/HIZMVe3dELC04XHRfIycPXsNOu48mh5z/9FxO3+kErl44j6VFyfUPpIiiDLPaQ2JtsUuLYNC3uWXxVRw6df2qtZsa+373VlSrhehXhFmbR79x0FuyH3XUsSVCo9Z+kb2e62/J6Ovr47DDDqOlpYVjjjmG4447bpMISDf7VIplWXR3d6+2vK+vr+5TtwacccYZXHzxxVx66aU8//zzfO1rX2Px4sV88YtffKt3bZPBErqWryqFJtKCtKNqogZbuqvJ16UwiQW/fnbuxu/AKtte1VuuhippQkp0HEOpgmhrwNptOs62TTgzGpGdTTChFRqz4K5CuuIIGYU102PTfLVMhW5DEFdbxCoaTZ4AdGXI/JQHauIKXR4yv7/ueeqRfbE8QxAtt0bo0IqElSFSPoXQ7KPSkLbhyT6BY8HUdp+rP3oUAD99z7GcvtMcKrHgmK3ncM1LLje/5vHnV13ufX7NyranHm9nv4kxUzM+K8rwHwcMsEt7TBRJ9v/NbXxk7k2cvtMcjvzj/9HblWRy2nx593QleW1Q8our21mY9/hHtyAfvDWDdR/+8p8JXYuOiUVEq1hnolsdddSxOvQm+Lcl46abbmLlypWcc845PPHEE+yxxx7Mnj2bc889l1dffXWDt7vBlbogCOju7l5NOPFG3mlr64P7vo/rumu87Z2MT33qU/T19fGDH/yAFStWsOOOO3LLLbfUhCtbOkbKzkqbhFSlTdC9H1fnzoTk2YEB9midgqhWrtJ2ExmntxZBNV40uKMZw/Mrl9Qe0xscIOPE5NxmMiocTWgAkyAhX1ciVwpcB6xodKYOxvraVYwC2bNcvEyzmWmLA8pUqMQFMpaNHlphbFVsD6LAkC0YnfGrkq2RGT9hm9t1WB4VVtgJU3ELSuiyeUyRbqkqfF1EogFdGUJIB2EnzX2FNAINWW3r+gV0sgFR6MdOpZmQsnlh0CRLeJZmhyY4bYc5fOnBeasd0//czbRULzlwlfzmtShTpdQszCsG/SRfbhkiaJ/Gn14Z5DOzK1ypBIW8mbMtl22UEpx/Rwv5bpfmzgr9vQmcRs3Pb2tlj50H+NXf2rjQuZV7vnjI+r78mwSBZzF952ECX9LWUUJKzV4/u6teraujjvWE1iaLemPW39LR2NjI5z//eT7/+c+zdOlSrr76ai699FLOPvtsomjDrhTHTeoWLFjAZz/72dUsNUaG99cWQvvLX/4SMCfxiy++mEwmU7stjmPuu+8+tttuu/HuzjsCp556KqeeeupbvRtvCtoSJ3HdQlNtq8Rw3DarE7UO5zb00EpINSIsB7QmYWV4cfBitm1cf6+6NWHn5pOZ338JSwsufizYpaWM1ppKJmssVHJZXJnEjTS6PICckjbkargLynk0IFMJRNaoX0k31EQWtfk1Xa30jVT8KgWSiUxVfRsZoUGxD+0P1yxUhJMc3c6IEXFpEKRtVLhexrSEpQ3JauarW815HRF9VAkdYQWcBEJFZptBCSyXOJ3D0tJsR0hI5hAqJu/GpBBIYdGRLPPgyhQPrpQ19eqv9tk4b7iHvvpB7lh6JZ3pkGK2gyjOYwm48B9Zrv+EGTPY69w7STXbJJIRHRNLSEtz6wkf4cZFf2B5qcizA4JAwaztB1j4UuNG7c+G4K6ffYR9v3srAKFrYeVAKcGeP7kblMb2NP/42gc2+37VUUcdWx7CMOTxxx/nkUce4dVXX13jzPz6Ytyk7sQTT8S2bW6++eZxJUL84he/AAz5u/DCC8e0Wl3XZfr06Vx44YXj3Z06/g0ghanUrc2iQlsOQlijxfbqFVqoNs1w6c7NJ/PPnrmkbWN9ssZZDSnNnBus7oSu9GiVznZHjYzd1KhCVY14zgXoqIyIXPOEX3+1uaqgIY7QsT8qpBi5DUylbcT6ZGQ9MMsKveD76HSASLeg4xCCoiGKI48nJRY2BAVIZMx6IzFn1c+0LVxSdpFiBI2e5oTb/8gVB39yYw51DS8NWfzmoRy//UgP3RWJIxO43uixePQ7H2DvC+5gq20GaU0rli2W/PrZuVhCsFNzRKhsjp5Z4Jn+JH9O9G2SfRovHvjh2Org/t/5G8oSPPDDQ9jzx3e9JftURx1bCja2hbqlt18B/v73vzNv3jyuv/564jjm4x//OH/5y1848MADN3ib650oMYJ0Os0TTzyxwVW197///dxwww00NTVt0Pp1rD/ejokSb1ec//Rc2hKwe2uZRs/kn6bsBrJOKwCiOGAqaWEFhvrQS1YaopZJISwLEp6p1DVNNAIJyzakzrJBw1DYhRQWabvJqFXBELSisfDR/jAIadYV0rRWLdvMzMWBaZOO/L2qt56TGCV8QclU7bqWm32pBJDLQVCBTHPtuYrcxNHWru1CspFIB9hhRFwdgSiEfbxWKKK04NFuj1eHBV0FSSahGCzYm4zcgfGt6+tJcMtxH13rffb/zW2Aad2m0iHHvzfPX192eX5+C+0Ti+tc9+2EkRbtp/58A9ce/vG3enfqqGMMNmeiRE//deRyqY3YTom25qO32PPb5MmT6evr40Mf+hBz5szhox/9KIlE4o1XfAOMu1I3e/Zsent7N/gB//73v2/wunXU8WZhRKW5YOgi/FiQsEbVWSOJFgg51hvu9UbcUQTD3WgnYVrF0qZCBaVj4wcn1mGYXCVq2h+uiR9qWNVeZdUKYRyBjGB4yMz2AQz1GUIXxaNzfpZtCJ+QZs5uZN3qNjXaxIVVYzckFpZwKEeSQihx5Vh/MaUEc/76J+Ye9ok3PK7rg6sOObr2+yFX3MytJ3xktfvcd+povupeP7uLjDNIcy6ktaNEfvDta+OzKvb939uxHcHBl/2ViZ0RH5l7EzfPqecr1FHHOxFnn302Rx999CYvcI27Unf33Xfz//7f/+Pcc89lp512Ws08eEtkzP+uqFfqxo/nBy7GV4bMzG6ySVpZAJIyU51Fs9F9r6FfXgCAmDJxFdsRe5REJXKIdAsDDNb86JSOcWWStN2EGO5Bq9BU4EZm7ix3VMAwEk8WjypccVPG5mTEWkVKSGehp6damatGxFUriESxIXtRbO7fOsEIMZqnmX0sDUKmlZCQSJl1Ix2wtDBE0lY80ZNGCs0dyyQ7N2sCZeYeFwyOzte9VTjqTzfieooVy9KbXSSxsfjI3JtwHIVSgjgWtLRVKBVtrjuyXrmr463F5qzUdff/caMrde3Nn6yf316HcZM6Wa1UrC3lYG1CiTo2P+qkbsNwyQtzSVjwgcllsk4rAkHSzkEUEFuylgQhfRMppr00oaqg0RSjAaSwkFjGGkQHRCogUGX6KiGepci5KZorVq3lWquajfyMRIFFgfm/nK/641VJWhCODiKWKujQeOcJxzGfQ8syhC+TNOtkM9A3ALmMScLItpu5v0QGrc0+xzok1hGxDhkOIvxYkLQVS4suxVBSCC2Gw1EfuX93fOirN3HbBZumivbVh+Zxwd5rFpfM+eufSGVClryaHVOhHKniHX7Nn/nzMVueJ2UdWyY2J6nr6r9mo0ldR/MxW9T57eMf/ziXX345uVyOj3983RdxN9xwwwY9xrjbr/X2aR3/7giV+blveZKXh0tMTWs+NGWQlN2ArczMmRQWskq8hBBoTOyX0rEhfcLi9qV97NZawhKSUgRJW5O0HZPBSrWqtmo7dRWxAkqNkjoxtuWrh4YRnmsImm1BuZpXKyWEIbpQMgbI5TIiXc2NHYk2k9VWrOUYgQSMiSsbucbzlaTsS1K2ohgae5kTt/3Mm3K8NwU+eMZfuOPnm26ublMROmCNhG6E6G07MeDFFe5qLWfPMxfHza0VTr77mrFWMW+AUx+YV0vtqKOOOt4+aGhoqBXEcrncm5L9Ou5KXR1bDuqVuvFhfv8lAHSVHP7VZ2EJCJSgxdN8bFqJjNNM0s4RqYBlxeXkQ4uukk0htAjV2LmzEUu7WY0VMrbiqb4ks5sqTEzlSFgZ3CA0nnJh2ZC3EdGCZZvKnJOA4rCptJUqhqRF1Sp4xUf7JgVCJBNo3zekrVQ1Gg5CU9GzLcgXEFtNNb8XypBLQyqNaJ5G5Jmh3FI0hEYR6wilY0qRT79vUwglT/U5zO8X/G6/LYMk7P+dv3HfuR9+w/sd/rnr+fPFR22GPVodR/3pRg7dscTkdMzSosXN89Pc+MkjxtznkCtuxvNimlsrSKnp702Muc+n/3I9QM0E+o1w0p3XctkHPrWpnkId/6bYnJW6lX3zNrpSN6Hl2Pr57XXYIDv2wcFB/ud//ofPfe5znHLKKfziF79gaGhovdevVCo8+uij3Hzzzdx0001jfuqoY1Oit3IFA/76pU7s3HwyAB2pkJwD0zOmw7ldY4QjzTC+JUxxW4q1XwtJAaXI/PixJB9a7NJSJuPEVfGFHp2bk/ZoqzWsGEIXxdU5O2XImFJQCdBDw+hiCV2umGVSVP+vfoxdx8zSSTE6X5dKohctRXf1oYcLhvBVZ/RCVaklW4TKJ1IBsQ6xhCZpKSIlOG2HOWu1mnm7YJ9zjDL2Q1+9Ca8Ssf93/sYB37plneuMh9Ad9acbN2r/VsUJt/8RMJXgR3psTt5uDjtvVVrtfiPzdkoJKmUbuYac4ygSHH3jDbVtrgt1QlfH2w3v9ESJAw88kMHBwdWW5/P5jbI0GXf79fHHH+dDH/oQyWSSvfbaC601P//5z/nRj37E7bffzu67777O9W+99VaOP/74NSpo6zN5dbwZWPXD/0r+IvKhxa4tnwXguoVz2arBZ/fWGfhxCUdokrbiPR0++cBidlNIn28T6RCXJKVoiN5KN0uLxqz45bxFJTaWc4mqjZ0rqS2DUQJoS4tIBYSiguc2gmUjtEKH1ZZrHMGgqc7psNe0TsG0XP0qSRsRPVQrcxrQxQqiZZUr1VQSBvM1da4u+lAOEJ4NyUQ17uxFklN3o6LKBKqM0iafdigQhMrmoa4En9/ezM9trNnwxuA9v7gTYJ1Gvg9+3yhjV22Z7vUz4xO3/3f+BoAdKe7+yWEbtA/DwxuWdHPWI/MoRjAxBY7UPL3C5apDPslxt17Hv/oEhbzL+U/P5dW+1VXRt590GEf96UYKeadmyLwm1MUVddSxZeKee+4hCILVllcqFe6///4N3u64Sd3XvvY1Pvaxj3HRRRdh22b1KIr43Oc+x+mnn8599923zvW/9KUvcfTRR3P22WdvlGtyHXWsCfetuIKpGZ+WhJGJJ6wMy4oDROpSKnFE1nWQIhyzTiG0iHWEK5NMz7ZVSWA3hVDSU3Fo9CIiFVMI+3l12CMfJPAsjWdpBgNBwtK0eIbIJSzThk3bpmBWjiRKgyc1fqxIeUkyTjUuDNBR1Vw4CMG2TbVNSohjdLFklpcqZmOppCFqqaqXkRQQhIiGVTJWo8hsZxX1q2gYIYcaXSwhbNtssy2Pm24gbTdSjofpKVfoqdjk3JjcOtxXNic2NJXh0W8cxJ4/vgvZ7JLq9RFq/Ff1e/7kbgBkND7LlFMfmMeUDGzToMk54FmaWENPOeS8J+cR+AlKBZty2eZfjqI9t+Y4oHWRufVtu9ZRx9sVmzsm7LzzzuOGG27ghRdeIJlMsvfee/Pf//3fbLvttqtsU/P973+f3//+9wwMDPDud7+bX//61+ywww4bvJ+vx/z582u/P/fcc6xcubL2dxzH3HrrrXR2dm7w9sfdWHn88cc566yzaoQOwLZtzjzzTB5//PE3XL+7u5szzjijTujq2OS4Y+mVSKFR2ggWRqA0tTbjiOfcLYuvAkyCRFfJphgOIOKQpMzgyASO1LUZOaUFoTKxWZ6lmJgOafRiiqHkPe0hLZ55jBHEq/wuhWbQtyhGsnpbRKh8YiKwEyblwXbNvFv/kDEMZhV1uZRmni43GquHbVdTLHS13TqSWqHN72pVsUU8up2R/6sDf7rrZUT/UizhmEiwVJqcG5O01Nu+5bo+kEqT6A+IHImfNN9Xa2vLfuiro6Mf+3/nb+z1s7v45IdW8J59VpLKr341/Xrs/5vb+ML98zjgwlvZKqfZqy1kejaiIxWRdmKavJiEBZNTmq0mVrAdTTYXopSgXH2JRubkNhZfuH8e331sXu33Mx5ePau3jjreamzu9uu9997Laaedxj/+8Q/uuOMOoiji4IMPplgs1u7zk5/8hJ///Of86le/4rHHHmPChAl88IMfZHh4eJM971133ZXddtsNIQQHHnggu+66a+1njz324L/+6784++yzN3j7467U5XI5Fi9evFqixJIlS8hms2+4/ic+8Qnuuecettpqq/E+dB11rBNKQ6QEpUjSoAKGAp+krdjebgaRQqU9nht4jX7fI2UrbltyJZawiLURC+RSbUbNKgU9FVOqMiQRUraNIz22aUjgx0V6KwG21ETKZJC60lTnwuqom10lhSuKZjsrShYNrsvh09uQWNUs2Aq62Gfm6GwLAgVRhB7KG/IVxWY2LpcBpYwoolypVuOsGjkT2bRZnqju894/Rd1zOjTmIF8wB8aWiLaGsYILpaA0iGt7xOkUgSrTkdR0JE9hVsP4j/94DYkPvuyvzNh66E0TYTz6ndWrfPf8+NDVlu35k7uZccBotcyeDvRqXuwzFwKlVo+jb7xhra3OAy68lY6JZi7uiH36mJCEnrLN5ExIf8Xm/pUSKcx75F99glhDpWzRPrFEytGUQvM6borq2xfun0fahuXDhpV3pmHQrwsl6nj7YcTcfWPWHw9uvfXWMX9fdtlltLe388QTT7D//vujteb888/nP//zP2t2I1dccQUdHR3MmzePL3zhCxu8r6ti0aJFaK2ZOXMmjz76KG1tbbXbXNelvb19TIzqeDFuUvepT32Kk08+mZ/97GfsvffeCCF44IEH+OY3v8mnP/3GhqS/+tWvOProo7n//vvXaF78la98Zby7VEcdAJQiSag0pcgFAlK2aX/iuKAVUgtaEhEZJ+ZfvSlStmLvCQX6fJuU3WDIVRwh0jmSlsKPBSBqSlaTvGDT7E3GswZo8oZ4tNshaZn5uVib9mtHyjyGFJC0FDk3Jm034UgPGcegq6bDQhq1q1Xt1doWYMHIhWOhVCV7ofnfUYh0Cu37xpNuZP40k0KMVPKUQj/7A0Q2Y8hfS5Np47rOqBFxxrRjxcRtIJEhEDHXvjxAg6t5eiDF2eseix2DEbJz8t3XMPew9bPd+MlTczlzlzncftKGzbhtLPb97q2kZsbcftJh1ZQHyYp/pjgy/D+6VqSJQpdHv3MQ+/7v7czafoDPHLKSYiQ45d6r2aNN0eLBQZM1D63UOFLz0b0tlhUFloCnumy2nhUgBdywyOW1ZUmGBj2CwBqTinF01w0M9nvkJZs0LkwpwUBREkWSk+++huaUeU/WCV0d/67I5/Nj/vY8D89745GJEXFnc7OJUFy0aBErV67k4IMPHrOt973vfTz00EObjNRNmzYNAPX6RKJNhHGTup/97GcIITj++OOJInN16zgO//Ef/8GPf/zjN1x/3rx53HbbbSSTSe65554xPi1CiDqpq2NcmLtgLpYwFbKULaptUE2gBDmpyQcWOhqCoIRINjCxYRv8uMRzVj+hMu89R2hCVQE7C2EFC5v2ZJKWRGSuJkfm37RC6bgaHSYQQqCqOa45V5FxzId0pBUrhUYKjUCSdpqwFFDsR0c+wvZGFbC2C0GEHhgaWXH0/xGVK4xtoSqFaGmsRoFVH9C2oOCbHFo5+rlCqaohsQCFqf4lPLQ/jErnWFl8jelZjwMmncArw+unFP70X64nkYy47khDFjxXrZef2i+fmcsnZpR4su/Smlhlc0O1WgQ+HPj7vyEtiWvFJGbG9HSlSKVD7vycqebtsGsvv9vvWL772DwCBT98V4Gn+jz2npAkVD77TXQoR8NMTEvuWJpgcUGwdUvMUCAZDmFZd2KNhA6gWHBoaAw2+WyclBopNVcdcjSn3Hs1xYh/i1Z6Hf9+0FqzMY5qI+tOmTJlzPJzzjmH733ve2+47hlnnMG+++7LjjvuCFCbbXv9aFhHRwevvfbaBu/n2nDeeefR0dHBZz879nvw0ksvpaenh7POOmuDtrvBPnWlUomFCxeitWbrrbcmlVo/v5kJEybwla98hW9961u1dIo63hxsqT51V71kiEVQvZA5eTujwrxn+RUcMOmEN1y/u3wpjvRoslohjtDDXcYyxEkgWqahdMz8/sUM+hb5wCJpK6ZmAhpcTaM3gYRIUVLDhKpCoIyxr0DS6E7AFtUor2I/JHKUrJBSNMQLgxo/FuRcRVsiJGEJLGmTsZuRwjaGw6L6RbTkSRguGHKWL9TSWPTAEKq3gEzZo7N0q0Z9NWYNORuZZ00lRtuztmXEDyMWKLZtlLR2tYyfSY1W/VJpcFOIRANROscLg0t5pj/BMVvP4X/mz+XrO687NWLOX//E7lN8Fg2PEkdXws/fu/Y26n0rrmB2E7Qm3vj121R47/dvp2mmzy3HfZQDLrwV14sZ7Evw6DcOGnO/o2+8AdvWvPJkjke++0EAHu66HM9SdCRDMk4DtnAZDHpwLbeaMiIJVIliOMiVC1L0lAX9JfN9FkWSKJQMDbo4jlrNg25LwRkPz8OR8N/v3jI8CuvYeGxOn7rFPZdstE/d1LaTWbJkyZh9XZ9K3WmnncZf//pXHnjgASZPngzAQw89xD777MPy5cuZOHFi7b6nnHIKS5YsWa19u7GYPn068+bNY++99x6z/JFHHuGYY45h0aJFG7TdcVfqRpBKpdhpp53GvV4QBHzqU5+qE7p3MG5ZfBWHTj1u3OutSugeWHl57fd9J5wIGKHEto0VPEuaIVppV9MUbJARItnAgL8cz0ozJW0jRciAb9U0B7FWxCoEy6QsWMJhOBjGsxRZp8mILwQgJFrHCK1qaQyNbkygBElLobSoVvh0LWlCr3x+NAYMquRLG/I1lEdXAqNklcJYjoQxgsBU16J41J4kjhGZ1CjRk9IQtXR1CE4pwDKCi+acaeEapYgxNK7eR2Q7QEikMCIOR8Ij3Zfx9Z1PWq/XItbQ5EJbUtPnC76/x7HM+eufkJapEr0e+088gWf6L6E1sd4v90ZD5yRSavY55zZ0s0UiGa1G6ABeez4HrqB9ZpFznpjHvh0RjZ6mM62QwsUSDoWon5SdIWGZnwF/OStLZcqxhSthelbz8GPNzNp+gBXL0qhqputWEyscfeMNJJIxXStSNDT6m8WG5OS7rwEYVxLF62EJ8/OdR+dRiddN2uuo461CLpcbFwH98pe/zE033cR9991XI3RgCk5gKnarkrru7u43Rdj5+scZQVtbGytWrNjg7W4wqdtQnHDCCVx77bV85zvf2dwPXcfbANctnIsUkhsX/YEjZ6w5duq4bcZWiu5bccUqLc21G/9+cPLxY/7u9/+ALVzsXA5LtBCoElppYh3iWklyToVICQ7OSoTbAkqh7BwM95KUNuWE+XiEShDrkFI8RKQDXJnEdtMgJI508awUKXuQKLToTOfIyQYoDYJW6EKvIXJ21ets6Wu1dqn2/VEhw8h8hVNtrXr2KOnLGcsSkU2PVbfmcmBVt+umTJ6rtCEO0OUhEwPm9kNh2KxXLkIyXSN0JSuk7Pfx8pBLnw9HzVw7oTvj4Xn8/L3HctYj89h6AuzYZNrNXSWbEX+WNYkkLn9xLo6ErKP52PST17r9NwOJZMTKJWlSHRGVklwtimsEO+zVh1KCL+1W5KVBlz3aJJGKyLkdJCyTj+tZaWzhsry0gFKxm1eHPfoqSQCWFQX5ENo6SvR0JUkmI6TUdLZXmJDSOFMrDPpw1SGH8YGL122KvKmwMWRuBIGCcmyIXcKqx4/VsWmxsQbC411Xa82Xv/xlbrzxRu655x5mzJgx5vYZM2YwYcIE7rjjDnbbbTfAFKHuvfde/vu//3uD93NtmDJlCg8++OBq+/Hggw8yadKkDd7uZid1cRzzk5/8hNtuu42dd955NaHEz3/+8829S3VsRhy91Ryuf2XuWgndCO5ZfkXt91ibE8sBk07g5teMFUmozGC6FJp/9l5KrAULh1wmZ8Ja5a7Z+wyDwdUAeNZheBZc8/JcMk6FpK3IuQ4fmZZBRNKoUalan2TbodhP0srRkihTCIforZTwY8mkdGxasNIIHOxYkRU54kREoxfjSA9tOeAPo59/rspCJWLkfV7Na9VdvdVKm0AXTbyXsATCEuhYIxJ2Tdwgkklwqy3ZkR8w5EwrUzW0q9Yo1axY4STQlWHTfh7IIxqykE6ZOT6tKFkhWiscmWDOrE+u87U470mjqPzSg/Mo+5LdO2L6KnKd1dbbllzJh6Ycz4nbrruVuzYcfs2fzWsfC26es345rCOGw4lURFt7iYZGSVtHiUULGpnQWWD/39xGrsEnP+RRytvss38XjR6cMDtkaiYg1nDoVBcQNLoTyIc9tTZrORpmwFcMBi4XP2/KjRNSmj4fiiWbwLdqbdaj/nQjmVzIsu4EgarQ1+/R3uJz6gPz2Ga7tez82wxnPDyPWI+16qkTujo2JTa3T91pp53GvHnz+POf/0w2m63N0DU0NJBMJhFCcPrpp3Puuecya9YsZs2axbnnnksqleLYYzf9e3/E2zcMw1qCxF133cWZZ57J17/+9Q3e7mYndU8//XSNBT/zzDNjbnszwm3rePvhqJnrf6Ifabk+sPJynum/hEbPYtC3aoROCoirYoVjtl59u43u6orsEXFDpASxjsDOGKWFl4BCP2Saa61SSzhYQlZbUZpBv4zWvbS4naOt1GobNtYhid4VsOLxapWtOs820joNQ1iyompHMkrQhFO938jMWzgaESY8d2Snwa3e3tJae1yEhMhHUzaNYMsmr4bQtqLBTaOTAcLpr+bBhpDMEWYasHRMpH1y7roJ3chDV2KzWwCvDgt++p61f8k9sPJyPEtwxsPzGChaG6S8/PMxh4/r/gdceCuJlCAKJZWSTV9vkqbmCkODHp1ThxnoT3DfqR/iI3NvonNKgX1nVmisHtrWREQ+tJiStqnEBVJ2AxojnsmH3cQqwpYu8xYmeLXPprMxYkm/Q58VmiSRamVuBCOmwXP++idWrDDVvAULs7R1lOlakYJ9x304NjtWbbV+6cF5DIfruHMddWwB+O1vfwvAAQccMGb5ZZddxoknngjAmWeeSblc5tRTT62ZD99+++3rZdc2Xpx55pn09/dz6qmn1pIlEokEZ511Ft/+9rc3eLsbLJSo4+2PLVUoAWa+CwwBa/YiQiUoxyadYdC38GNJ0la1lut9K66gp2xTiWHOrLWTxhG17DFbz+HJvkuZlIImbxKO75uZs9IgpBrBdol1hBUEKNdjwF9OoMoUQknGUUxIzkJojV7yL0OYMg2GYPkFM8dWCYgefxnZaJSouhQhHAmORFiCuMv4momsYRYyZZsKXdIdnZMbmZ0rlIxtycQ283trixF+ZJoRiQaCVJpC1G/EGEDywfsQW003z6ecHy23JNOI3ETIrL/ickTR+s1/zGOHJs1LQ2Kd81V3LbuCV4dtPrvtREShjzCd5ZzH+zl3r3Vf6b7eR+24W6/jqkOO5uDL/kpbe5lK2cJ2NEtezfLQVz/IyXdfQyaheOKJVpQSSKl54MsHc9yt11EpWwz0Jdhh9iCNHjy3OMF1R36cH/3LmPB2pjSLi4Kpac32TYFJBvEttm8K8WNF2k7gyAQPrPQphpJi1cLu3iU2lbLN1hN8pIS+CgwX7Vo265JXszzw5YPHPK8PXHwL0tLYtkJKvd5VxzrqeCuwOYUSi7p/Ty6X3IjtlJnR/vkt8vy2KgqFAs8//zzJZJJZs2atlx3LurBBlbqrrrqKCy+8kEWLFvHwww8zbdo0zj//fGbMmMHhh6//FfbSpUsRQmxUJEYd/96QQrNt4+dqfz8/cDFJW+EIE9O1YOgiIiVI2hZSaFy57mrvqoRv15bP8kr+IjxrkJV+gWSsaE62kIkCImnSHywVIXWCft9nOHSqNigRgVfGli7SNgpVvXChIWKVAF2soP0Y4UjUcAChMoTNkSbntVq5EykHXQwRCdssjzV4CtHWbDzopERYFnrE1iRfNIpYgGwrItNWFT+EzO+Lmd00SLtuQrc1oxe8guhohYSH2OosyF9LJZ3iwZX9HJRZ/bisCSfdeS0gOOnOa0km4MGVRngQ+Gs3xlxetNm2MUQRIzJNFIIu2tfyvX3KvVfT35NgWmeZwHf59F+uJ4oEkzoqRKHHVx+ah+tmKAw7bDO9yMpBh5M/1M31r8zlkGlw53LBYfv18nK/pLc7yaFX/YWWNjho2zItXhnP0pQiwWcO7OOZ/kvYriFBWzIi58ZMzxoS58gEabuJ4bAXKRLkgzJKV1gwZGxqypFkRVmwrAgzmmNyTkSLB8UIts7CM3ZEvxfT6GlcL+aMh+cxVDbt8UrZZsr0mMC36OlO1nz5xmvS/HbHWY8YslxXydYxLmxk+5WNWfdthJUrV9Lf38/++++P53k1N4QNxbglqL/97W8544wzOPTQQxkcHCSuGqA2NjZy/vnnv+H6Sil+8IMf0NDQwLRp05g6dSqNjY388Ic/fNPM+OrY8vDu9pN4d/tJlCPJHUuv5LGey3iyz8zOKS0ItajO/AhsqWuxXsUILnlhLpe8sH5+azNzp9DgmqFypTEWJsKoZwNVIk6kiIWqtnvNOn4sq+pWNSpUqHnImbk4Yo0qRehKjA6NerVG6KQ0y0thVXZbJXm5hPGP0ybuS3gudLQaI+ERA+IJUxGN1YsgFaGlxdLiMnJuzICv0Pku4sdfMvYmAL0D6EU/QRf7GAq6eGHQ5uGuy9fr2Fz2gU+hlMD1zGe8UjZVKaXW/oXz8rAgZSt6yq/S7y/jnuWavorgJ0+NfT1++cxcpNRMnFhmqCxpagzINfpMn1jBlfD+rSus7EngeTGJZMwrS5NUyhZ9PnSkQooRlIoOy4rwrgkxre1lZs4c5vgdy7ynw2f7pgoT0yGTMyHLii7lWLJVg48fCwqhpDURoXTM0qLPcNhLIfTpq5TJuYJCaNHoxTze4/BSXtDiabbOmfdXORYUI8iH5rkOh5B1NfkQtmuPqMTmOEWRxHYUhWGHKJLcftJhHH3jDdXjaFUJcx111PFORV9fHwcddBDbbLMNhx56aE3x+rnPfW6jZurG3X6dPXs25557LkcccQTZbJannnqKmTNn8swzz3DAAQfQ29u7zvW//e1vc8kll/D973+fffbZB601Dz74IN/73vc45ZRT+NGPfrTBT6aOsdiS2693LbuCfGCRsg3hsaWpzDlS48eSjmSII3WtLSuFphxJlhcd+n1DOkb87caLm1+7ilkNPk1e1ZtOuizML2I4tCiEFn4s2LkloNGdiDvYY1q2K7vNykqh45j4uaXoUoiuxKghH5FyjF3JiE9EoJCNnlnuSETCGjUVnjLRtF1TCfN/wwTTbgVEusWINACkpCR87lxawI8F7++MaOkfhuEhQxariRRi+73ASTAY9yKxWFbMc//KJJ/ffv2Ozyn3Xl2r0I0QvP7exFqtOb5w/zwmpOCgSSG/+2eajuaAzrSmxYPbXkowo8NnhybNAZMK/PrZbO02S8BLecGEpKYjqVhaNFWylaZTjSOhWLYoDDvsN6tMkws7tfjknJiOZAv5sIeM00ykAvy4RKBMjJvxD4wpRZJyLPGkxrNMFQ5gMLBJ2saTzo8Frw57LCnYDATGf6/PN8Tu/kVerdUbRZIJbRUqMfxuv2M5+e5rmNygCGNwLMg5msUFwWDBJj/okkjGpNIhlxx4DF96cF7NMLtYMq/lFQe/8WxjHXW82dic7ddXun5LdiPar8P5MjM7/mOLPL8BHH/88XR3d3PxxRez/fbb17jU7bffzte+9jWeffbZDdruuNuvixYtqgkdVoXneWOCcdeGK664gosvvpiPfWx0tmSXXXahs7OTU089tU7q3kG4+bWrcKQm1mI1JWXK1uQDUxUbDgVZR9OW9MnYCs9So2kQklog+gjpA4G7ETaIoRI1G5OF+eU83pMk4ySZkIqqdiqCcqTIOqExIoZqVqsZvhKOY9SrsSZaWjDLqtvWlQgsidVcNWyLFdoSiBHfOozViaiJKWyE5aHDCnHLFCzhIOLQkDwFkQhoS0a8PORQCH1a27ZCl+dDMg0dU6GSh6BE7CUghkgHzMh1sLzUv97Hozmh6a8IkomYoSEX14ux7bVfC46QnMsGEkxqMcenryL4+tZJ0napap+Sw5UdbN/YxZRMxPx+G0vA1LQmYZnXstGF7RpDcm7MwiGP25dKWjMxu3REfHKmYXopuwHXShLEZXJOG8VokEockbI9HCno931ibaLesg40ew4aTT4Iqu1ZSdaJsYRmRcmhr2Iz6FsMBOblWJgXlGN4ZcAilQkpFYyKuVK26M87uG7Mdx6dx+4dmmcHBDs0aeb3Cxb7RhEbVYlj4EuUcjnh9j+STcPUjKYSC/JOVBOgwOgsYR11/Ltjc2e/vt1w++23c9ttt43xygOYNWvWRiVYjJvUzZgxgyeffLKWXzaCv/3tb8yePfsN1+/v72e77VbX9W+33Xb096//iaaOLRvXvzIXR4qqXcnqBOGVvMNBnSWksCiEMbI6Qwcm3QGpKEWSWQ2nsLJ0EUIIXslbKG0I3RuM1q0TR874DA93XY4jNYXIIuNohgJBxpF4lqYlYYQbhbCfVKIBHQVm1k3Z6KFhiGJkY7L2lRMMKeySueARjkCmHFQ14d1uTdY86cREE+ysiyV0NIywLfSKbkTTFFTrNIaDbipxAVcmabE7oNhPnDAVplIkmJ79PAB3ej2UAwkBTM2mSOs8s8SnWDB0Ge/KtUMQsWfb+g/j/ve7j+UL98+r/V0p21z90aPWGRI/4pN20p3XMjEXc/pOFUhMJFAlXhoSPN3fy7vSjezSWmHhkMfWOUUxlHx4aoIlhQG2bzDeTSsqL9PoTmC3liyxXsGRMxrxZIp82EPaaUIOdSGyTSQiYzJtux148TCBKhOpCKUFbUlNpCDWmliX6ak4hMpmRdFhx+YyC4Y8SpFEaYFnqZow4uW8oOxLGpIK5SpeXZQlmYywHc30qUUaPWhyNbGGtA1TMuYiw5HgJGOa0jGBqlb7hm0KeYfINkrq7rJgRlZTiQShMh5wwwWnTujqeMdgU8WEbakoFotrTOLq7e3dKLHEuEndN7/5TU477TQqlQpaax599FGuvvpqzjvvPC6++OI3XH+XXXbhV7/6Fb/85S/HLP/Vr37FLrvsMt7dqWMLxVEz53Djoj/U3oC3LbkSzzLEzY8FWcdiODTD6p6l6Ex/gesWzmXbpgqNbozSAj+WPD9wMTlXYWEqLoVQsrxk8cXZG9Z6HcHyolNr2+3VXmTBUIJ8YCFFjB9LdmmZgiVsdM+/YGDItEnBeMpJgVrejxr0EY7EsmKiUKIigaMUOgzAkUjLQfWWka1JRFMWXa4gkglEUwMEIXpFD1R89IqXkE0dqIypIj3TbwG9fGx6IzIeZmbuFGau0n344OTjuW/FFTR6Eds3djIYrKjajEDFViSsw2kYx7E47tbrsG2LZCKmqTFguGhetSiSHHfrdQS+hVKssR0bRZJz9zLE7/IX57KiLOhMa7pKNnMHSxwxvQlH9JMPLdqSIEjSnnQpxkNY0sGWLkNBN4OsZMdmGy+IwI3IuW34cQmyTZSibmIZ4VkpVByb5Zgr+aQtWFxwcKQkH1gUQlM5y7kxttTkQ4udW8oIJI70CFSZQd9iecnhpSGHILAYUIL8oMvMmcMMDZvqHEAYmwpkoGBh3lQCQyVI25B2oMXThMqYE+88IeTr1RbrSXdeSx5Y2mthO6rWzq2URwUoJ915LUqJelu2jjr+TbH//vtz5ZVX8sMf/hAwlm5KKX7605/y/ve/f4O3O25Sd9JJJxFFEWeeeSalUoljjz2Wzs5OLrjgAo455o1dzH/yk59w2GGHceedd/Le974XIQQPPfQQS5Ys4ZZbNo/beh1vPe5adgWONBYlVrWqFmvz0+jFLCvazGo4BTCK157KpbQlR096sraOIXcZx2LH5s+yYzN8cCP3qxhaSAGlyNim+LEk58bkA4uDOqeiB5chinljfZLIgF0wrdeGHNhlI1KozsnpSkQUmp0Vq3iZ6VIEWRc94vAqhRFEjIiFpDTCiMacMSn2C7RkZtCSsVlc6KG7bOFZKTzrsDU+j/0nnsBjPZcRqgpdJcXOzVnmvRzyrraPEqnbsOWH1rjemnDVIUdzwu1/pFyxyKVi0qmIL9w/D9eVyGr1dFVCsipULDj57muwHQVUCY8tyDiKQijpKvfR5EFb0swvCiFJV2KGrRiHBK3eNCrVyltbYxNgEwtFb3khKbuBIC4jhMQSNqHyCVWFjN1Mn9+LKyWOVEYdbZmLg6Stqv6EMCEVsmDQY2JKMeiDI30yjkNX2eLZAZu0DcnGkP6SpLmtQpML6aYQpaHRg7aEZmHeVIanZOCFbptsOiJpQcLS7NBkKrqn73Q833l0Hsfdeh2pdIjrQeBbdDQbw+PlXQlc17zupz4wjzAWRJGNbW/Z7aU66lgX3unt15/+9KcccMABPP744wRBwJlnnsmzzz5Lf38/Dz744AZvd6N86np7e1FK0d7ePq71li9fzq9//WteeOEFtNbMnj2bU089daOiMepYHW9XocQdS6+sCRvAEDRLGAFErCHjmA9rPjC5rJMzIVknZlnRVMM+NOX41bb56vDv6fdtVpacceXK3rH0SiO2iCSNXoQlwI8F+cDCszRJW+FZmq1yFdJOjkbZDKVBdGXIzLV5GSj2Q98AJDxwHfSyLkRHC7qrD/+OF4n6zFyZtKtJEbECSyIzDt6HdhhtIwQhYsZUyOcNqStVzHzd1rMgrJgosEQDrzLAEz3pNzRxHgyuJmFluH/FwGoRahuCk+68FttRqFjQkVGcu9exnHTntUipkZYRUlxx8Cc56c5rq9U7QSptXGttR/G7/Y7lqD/diO1o3juzTDESHD6tzI5uI7rUB21bMxz2knaazPHqXwaWjWjoZDgyIg9flWh0J6B0TDnOU46GSdpZ8oHJZq3EBRrdCQSqzFCQx5WChJ0h67RiaQlxQJEypXgIrXW1ve/zTH+SpUVJPoRKLEhYmvbq2GOzp2tzncOhoM83sVlJCwYCeKrbYrDfY1pnmWIEOzRplIZtGhR9FfMeT9nQUzGq2c4UDAbQ6MLioqCnDK8tS3L9J47kC/fPo1R0mNAYrtPguY463gxsTqHESysu2GihxDYTv/q2O7+NBytXruS3v/0tTzzxBEopdt99d0477bQ1ZsKuL8ZN6hYtWkQURcyaNWvM8gULFuA4DtOnT1/rumEYcvDBB/O73/2ObbbZZoN2uI71x9uV1AFc9dJc2pMxoRK1qpsljGjCqVa0Bn2Lo7eaw2M9l9FVshnwzQnSkWtOjxgP7lh6ZVWkYZIlSpGkLRlVyZyiGFqESpBxYqSAnVsC2hMzofcVCEo1NSqZVsh3o7v6qpmtHrpYQnS0QLYBPf9ZgkeXUl7iIy1N9tBphvxFsWnZJlzExHbEpO1MXquKTIZrWEFHfs0MWeRMXivSJiTEkYds1PPfUJx89zV4rqI6EkhXv0sqEyKlETiUQlH7vVCRZBKKC/ZenZyc+oCZ0du52bzWB3WWmJWeauxkuhcgJmyPXvGs8eLLtZvjEAXgplBeklI0hCuTFKMBY0MDRComaadJWBkCVaZRZYwXVvW4QjVaDYgcm35/GaUoohBatCYUA76gzzfNixVFh7ZkhGdpHupyCJRgp6aYoUByz3JJ4BsiVy7bZLMB0tJICW2tFVoSpjXb6GlcaQhdi2fUrpXY2O4sLhgT59cfm3XNKdZRx5uNOqnb8jHu9uuJJ57IZz/72dVI3SOPPMLFF1/MPffcs9Z1HcfhmWeeqceB1UF7Ml7jcj82StjrFs4laSvuWHolSVvgWSYSTG1gXfmmV/8AwMemj2bOxqtsy7OM/UWkBF61kzgSQ9boxSbYHYWQtiFXYLzjlr9qPOWEMPHSUkC+gO4fQmw7A9HUgGzuQy6vkDmo0zyBKDbtWttC7rF/LY8VFfGaFzE9kYM4AhEiOncylUBlqnuvFF5hZu6UDTsImwixNpUqANeLcaqvjSXAs3VNGLBqdNaqOOXeq2lOGJKTsKA1oWhPZk1ubaEfnAS6dyHYLuof9yF23B5WrETssh/Exl9OIKjEBYSQeFaaUFVIWC5SWEhhkXPaYLgPXRowqRoNE4y/n6oKKjBJIg1ujB8X0SiWl0o4UrO86JBzY5oTEf0VG0cCaLrKkoV5wYqlaW6e87HVAu6P/OP/USxbrFjhkspEhI0hbUnNQEkAmhcGBUNlyaSsQunVCR1QJ3R1vGPwTmy/zp8/f73vu/POO2/QY4yb1P3rX/9in332WW35e97zHr70pS+94frHH388l1xyCT/+8Y/H+9B1/BvhQ1OO565lV2BLjdICpQ2xSjtRjciBIXmeZdqjI2kQIwRtQ5EP/siOzWUWF1wGfas6l2fInBTGZNazVNXo2FTyytEwWacVCr2GlFV8szGlQcUm17VUQQchKEW0dBjbXYqYNgnnoJ2Jlj5I9PIg7n98AiEsU4UDiAJUpomu8kIKjjQWGPIguuyLsR2XyF/EY/0eGafELi029lqI0uaEUoLhAFKOZnKDUXiOzEWOkL1EMkIpsUbictH7Ps2n/3I9Lc0+h08HIWwaVNpUJ4MivPYKdE5Gv7wAAP3yK4iGLOrxuxHZNFbnTOxsE1JbVGJjGRPEAa7l0mB3YJcKEBfMtsp509a2HPTAEgBErgNd7MNp6KSkhnCkhxCS7RuTZnYvMUw+tOgqOSwrWjzdZ5I0cg6mJbqXeR6vD7i/8ZNHjPn7uFuvo7eguOwDn6q1qSdlFT98V72tWkcdSm/4RfrI+lsadt11V1MAeIMGqRCiFuwwXoyb1AkhGB4eXm350NDQeu1EEARcfPHF3HHHHey5556k0+kxt//85z8f7y7VsYVihAhUdQI1jChgk7bioM4TALhn+RVc/8pclAZbGmK3atVtfZB2YobD65DCwhIOaVsx6FtYQuNZxhNvxDZFmlAIQmUSKyZ40yHfgxbGTgXbMpW6xqxRqY4IGwBsG10KUT0FrLYKNGaxmhM4u082xMVJ1Kp9caYRiaQQmsd+tDvF9k1QDDVNnkVH4nOE6g/4sUAKi6mZz2/UMV8XfvLUXM7cZd1t7UsOPGaMvYlTtdMLYxjRfKQc027sKcOn/nwDtq1Wi8W6+qNH0VO5jEhDm5xA5ErsMIKuxcbA+bnnIJVENDWge/pRK/rMig0pRHMrxWrXxpEmgaMzMZOAECksM+9YGjSVv2TOCFL8YYSXhXQzuncRlPNoIBlWTAUvitBeFqVjmhMZmjyFFBXKkWRmg8YSmmVFwflPz+X0ndav9T+lOeTcvY7l03+5HrBpafbprqzni1FHHXX822HRokVv+mOMm9Ttt99+nHfeeVx99dVYljmJxXHMeeedx7777vuG6z/zzDPsvvvuALz00ktjbqu3Zd95WLUFesAkQ+Ae67kMMAThnuVXMOBbWMKqpQAoLThyxhyuf2Vu7X5GMWtx4rajJ9w7ll4JmGpfWzKuijOGSduNSGHhWca4N1QmeqwUmYqgFJr3dCTRWlOMBgAIRYyTagR/GJEwhiA6LEMcIFpC9ILX0IMlk/WqjIxXDVWwXAdsC2evadA/ZGLF4qjWbrWKefxkgvtWpKjEkDNakDEt1iNnjI+8Avz62bmctsP45g7fiNCNoDNtSFzChkbXVDYrMQwEwqhIYyMIcCxNIhkRhZI5f/0TQSBrtic3vfoHbGnzwcltBFrhdC1EOwnEtB3QpQGEX0DkJqKefhRcB7nzZMO0WztBK5qtNjN/Jy0Egv5gGTmnDfHqP8FLgZNApFtMRTQOEE1TasddNEyEVJNpzUoJfglsFyEElnSQ2sKRCWZmC0xM5XnvBJBYLClGXPlSghNu/yOJZESp6CClXqPtyAm3/xGw+cL985jYapbFGoaqYp9P/+V6rv7oUeN6feqo498JsRbEesPP+Ruz7luFI488krvuuoumpiZ+8IMf8I1vfGONXnUbg3ELJZ577jn2339/Ghsb2W+//QC4//77yefz3H333ey4446rrTN//nx23HFH5Eg+Zh2bBW9nocQIblz0B1T1w+lZCkdqktW0AtMS1ew/0ZC9R7ovoxBKespmzmnEnmI4NAau1chVTtx2DvcsN61dPx4hakaIMT0b0OgZA+NQhSwvudXlLlorhsMKoRK0JlLY0kVrTcpuwA4CdLHPiCTcFCLZYAbwe5cBmGpdvkDcXawSOh+ZdbF2mYqY0llVyqZMxJdlI1pmgJT4cYlSNMhFL5j9//rOqxOrYngDfX4vXWWHd7WdtM7j+d3H5rFDk6YSG2VlGLNJ233nPz23NlNXjIySs88383Ejlc2+iiF5MDp/N1gwM3aFYadG7Ob89U/8cL8BGlyPFruD3mglLRUL8t1QLEHbJBjuNcSrf6hWGSUIEdN3QGWakEobYhf56L7XTHWunDek2U0ZoUUcoHUMlcJoCHhYgTA0UWpNDea+E74I+WvBTRlVswClYwb85RSjSs0k+x9dGSrx6HNemBecu9fqx3jOX/+E7SgSyYj2hDkmP33PsXz1oXlrbEvXUcdbjc0plJi/9PyNFkrsPPn0t/X57fVIJpMsWLCAyZMnY1kWK1asGLd7yBth3JW62bNnM3/+fH71q1/x1FNPkUwmOf744/nSl75Ec3PzGtfZbbfdajs/c+ZMHnvsMVpaWjZ65+vYsnHza1cxGqA1Fo4cJXMLhi7CEiCFIXNWVTDhx0bY4MpRQieFIYpHzhht2yZtxaBv1+LFIhXhWQ6WiNmmIYklHAJl/M5WbQOn7EYsYaN0bCo5tocOSqaN5yQQYQVt24ZsSIn2I4SsCiYAVQpxdn6Pme0aWGEqRYkcwnJMvJhIYAmb4bAIjI4hfOfReWNIQqDKJG1njckbq+KMh+eRsAzZGDT+xpscI/NzldiQtUoMw6GxABmJ40rbo/dLV/chm44oli0SyZg5f/0Tcw/7BHMP+wS/fGYuX9y+iaF4ACksBpLQnNsF3b0A/AI0TTIikeqsIlEMuQwkc8jKSEpHwrRbwQghEhlD4OLAHHu/YJZXyuYN4qWMx2AUmG3arlm38he0ColdF619HOERqYBYm9gxpWOksHhPR4E+3+apXuN50lNe83t47mGf4Jv/MK9J1tX8sFoJrRO6Oup4Z2LXXXflpJNOYt9990Vrzc9+9jMymcwa73v22Wdv0GNslE/d+qKlpYVbbrmFd7/73Ugp6erqoq2t7c1+2Hc8toRK3U2v/qE6iyVoSUQUQlmzNJHCzNd1JENk1cdux+aTuW/FFdUZM3O/ciTxY0klNmTv8OkOkQ5YXvQZDk2KgLmP4AOTIWnncGWSUPlU4mEEEoUpLY2cuJOWuQ9UxwKiYNTKxEmYSs5wN+rZf5pKUsU3VR+lEFtNhaZmQ/zcNFgueshU9LBcsGyetoxp8uJhl1AZi5Yf/HOeORYK3tVmzHKlgG0bK+QDi66yTTG03nCW8PIX52IJaEkolhYln99+4+xfvvrQvFpw/e+fN9seDAxpK8dGTJKwzMxZ1oW0rRkOTNJCqAzJA0P0KrGxPRnJUJWWJpsJ+cjUmN1aS6woOUxKxUywJhlhw1AfVALzZnAdYwcThIiOmSBtVLoBjcZSgF8w1dPSoHlNAEpFdFeviWFLJqC5AXItpmJaJYKibaua5QlCmtdWK4pqGF+VsIVbE1PEKmRxoZ+krZjfl2JBXtCZgge6BL/ap07W6tiysTkrdU8u2XhLk12nbFmWJi+++CLnnHMOCxcu5J///CezZ8/GtlevrQkh+Oc//7lBjzHuSh3A4OAgjz76KN3d3agRB/wqjj9+dZPTo446ive9731MnDgRIQR77rlnbR7v9XjllVc2ZJfq2ELxsemfoadyGbGKWFKNnzKEzRC0/SeewPWvGHuTJi/mmf5LaPRg0LdrrdV+X+BImJYNcaQmUBGWsMm5MYEyyta8EjQnIvw4wBIOnkxjS5dcV6+pwjVPIxAxhagfpWMsYRPpAAcHVGxO9q6Z1UIpGO5Gl4cQloXWGjFlYrViJ0w1KY4Q6bSpFMVD5skKCYkMwk4yyS6wtBizpDh2rrAzZVSWfixo9DR9FYsne1NMTIccMGkS/f5SrnppLsdts3aiVowMkRqPCfOa8KN/zSOokjJLmL+L4ZpbjWA81oYDRdaFzrSZtcuHgkpk9smV0J6Eoq3pwZgSV8o2xZLNbUuhu5zh3e3Gcw6r+tVk2yCryuKBPCKdglQCHZkINlkYgGQO3fWiIWpBybRqlUb7vrGbaciOSuWUgihApNKQ6yDINNDnLyFUgq6yQ4sX0WKZfRBIlI4JdQUhBMVgECEEzQkoR0Z4MytnsbJcJ3R11DFeVEePN2r9LQ3bbrst11xzDQBSSu666663vv36l7/8hTlz5lAsFslms2PEDUKINZK63//+93z84x/n5Zdf5itf+QqnnHIK2Wx24/a8jn8LrCxdhBQWQoiaEKIUSY6c8RnuWHolty25ErCIlDCtUy1I2zFdseCgzknctWw56dhcIIxYo8Q6xJVJFhdc8oGFI3UtwSJQGlcHiMowstBTFSwoCCtYiRSeTNUSDSIVmIpPFJkKG1RnsgJDIJwE5DII1zFkbqR3mzXtQR2HVcNgiUh1GCNcHUMcMBAHLBg0A7IjKmBLwHBoSNRgADlXkLIVhdCiLREisUjbTRy3zRHrPKan7TCH/5k/d72O/yUvzOXk7cYSxDMensfP33tszWB4pLUdKNZK6MBYnajY2J0UPVO9cyRgm4qdI802ErYx5h30TeJEqehQCgXz+2HnFskEyyOvhsg1dqKLQ1AJarm45NK110EHRTMzpxUEFfMtXyhBKgFRbBr7E9pBSESmzQgj4sAYGw8tQ1gelbjAY91pSpHg0R7BXm0u2zWZ7NjJaQulYzSKMPQZDiHjmLi4YjR6ATJCeP9zt/q8XB11rC/M9/WGix02Zt23A15fENtUGHf7dZtttuHQQw/l3HPP3SDVxkknncQvf/nLOqnbDNgS2q8Ar+QvIlSCYiRJ24pyLAmVIB8YpWshNP+PxGI9sPJyM6/lxEhgRcmhEI4SwamZAM9S9Ps2hdBi0LfYf5KFK5OktGdm26pzWHpwGXgpMycnbXTGzHoKrUFKIhWYWTsMcRQI0xYc7h41EQbINRlyYbuG8IH5O6yYZXYCYXvc2GcqVJ5lSOay0ugV5zYNirZkRE/ZJmWrmiedU/Xy60iGlCLTgt4Y3LL4Kg6dehxzF8xlzqw5XPPyXEIFj/eaL8mpGZNp2lnlT47UTEzCS0PiDUUXp9x7NWBmyBwJOdesb4QVJkVBKROvlXNGr9QrMRwwUXFkRxo1/x+IWdvD8lfRxWrlrlStnrU1Q2CMm3XfAGLXPaFnCSST4PumRWu7Ru0qZO31UFIQqDJaK3oqXawoOYRK8HiPwyOvJpBS12xX/mf+XPoqppU8I6N5T0eRnopjMmRtRVfJpjkR1y4WnutPUInhX31r9uWro44tBZuz/fr4a78ksxHt10K+zJ7TvvK2P7+tC1dddRUXXnghixYt4uGHH2batGn84he/YObMmRx++OEbtM1xj1IvW7aMr3zlKxssw73sssvqhK6OMRjxN4u1wFeiagBszvaepTlyxmfoSIVc8/Jcrn9lLlHVOy5SppL1wcnHM7upwgMrL68SIHMV51ZPunu0FdFaGcHDCOEaaacmMmNImEAYp3Kx+kdDaI3uWQBRpVqBE6aSl8mOblMpQ+bKeUPowJBIoJJO1XzwHKnpWcWzbKfmiAkpQ/hG5v9GkHNidmxO19TBG4tICeYumFurEFZi6K4Y4cMFex/LoC/4zb7H1rz6AI7bZs56qWgda3T/LAH5wChiAdoTuuZnt+pcXs6Fr+5YZFrWRK+Jphz62fmm3ZpNV6tvSURDzrxRmqtf4K4DlbxptS5eNroT6apgK46IbZuyLlGKhliU72JpsZt7l6d5qs/lxUGH7rIg8CVDg25t9a/vPIdz9zqWvdpC5vcLbl2S5oUBl3/2OvxtSYK7l9vcuMjjiR6P+1ckCJWpQNYJXR11rD9GzIc35mdLxm9/+1vOOOMMDj30UAYHB2s+v01NTZx//vkbvN1xV+o+/vGPc8wxx/DJT67uzVTH2wtbSqXuxcGLAShGhkjt3vpZFhd+b8iNEnRVqyr5QGIJOHqrOXSVL8az0mitiHVEKfJZXHApR7IaXv930KDRDATLiXWII43aVCDJ2NUT/3C3MaZ106NEzk2ZH2EC4I1KMjLGwX7VeHtEMCGkuS0KRlWU5bz5X9qIKacTxLewvLSU9mQ7KfuIMc/9J0/NpcUz5GbXVp9FebdG/N7bIUlYGULlE6oKLYnVRxvWF/8zfy5f39l4+5UiaHAN4c25ihcGbZSGZUVBrM08XD40VTWrGv/1n7sdy4XPzeWLs9dPdDFiUJy2DVkcyUEtV8nqsqK5bUZWU4zgmK0KTOoropeugFLFCE8aq2RZSsgXjOpVKTNXF4To4SIimzZpHvki2BZi550QbVtR1iU0GqVjnh/MU46MAMePBbcvddbZRl4ffPexefVkiDr+7bA5K3UPL/rfja7UvXfGl9/257e1Yfbs2Zx77rkcccQRZLNZnnrqKWbOnMkzzzzDAQccQG9v7wZtd9wzdYcddhjf/OY3ee6559hpp51wHGfM7R/72Mc2aEfqeOdi28bPmV/iO1BSUAivJ20niJSPIzX9UtPoxaRsSWsiYsHQRfixpCNVwRYurQljXzIpdRt+XKQQXk/SzmFpiQASVoahoItyFJJxUtjCJcaIKeJsM1a2vZqvGqFViAhKptpW9ZQzVbnq/0IaAhdHIAJjZJtsNMrLyhBEAdGUHckH3djSRflzafLmMH0txelQCfp8I454oscD4OMzBH5cItYulbhAkzc+9Wq//wdCVaEj+bnasv0nBjzZdyme5bBwWNKSMJXOQd+ixaPW2r7qpbksLZkqZ3vCVNU+v/0cLn9xLn3++s+w/G4/Q3hOfWAeljDPM9aQtDQzs5ptcoY0riybWbuElURP2QrR1YtOKFOFi2IYHEb1l4m7SsS9JUTWRWZdZIOH/a5t0IuWooZ8iBXWLjMNwVYRSStDWE2YSFqDNLoRdy1L8cXZczhg0rgO5xpRJ3R11FHHxmDRokXstttuqy33PI9isbjB2x03qTvlFON0/4Mf/GC12zYmr6yOdzgqfwEngRQWtnSJdUisfZo9j4mpgGIkiTWUY0nGiSlGgraEMeLVg39AJBqQXhJbelTiYSrRMGmSxlZECWzp4sehacEKKIYDONLDlp4RakgJCkS6xSQMaDVqVAtmyB4MqbNso6DMdlQTIoKab92TcYDqX87kNFg4iDW0cVfFhKSumdg6wJEzNLE2n6FYhzXCuj6Y338Jk1I2rkyiRMziwu9rsWKREmTsmFeGJa6EYihJ2ub5KS2q3n6f4bhtjMgiUIJipPnKjobQnbjtHH70r3nrevg14jf7Hss5T8yreQiCMZluSyoKoSRlm+Pz0pDivQ1ldCqBsC10sYRIplBd5riLhEVc1lhOTNibx5mRQxdLIAXCkYimBLj26EyjkARRCSEk964wfnKDweYZrD7u1uvWmjRRRx11GKjqz8asvyVjxowZPPnkk0ybNm3M8r/97W/Mnj17g7c7blL3Zik26niHI/FRQ+wiibSNT9yklEukAzyrgq+Mbcm72k6it3IFOdeiFP0fKZk1lbOwgkx8FM8C+KvxmPOLQAUpbRrdicAK8oHZXsrOILTAIYGIQ1NtA0PkHGWsMQDKlVGCN6KirAyZqDCtwLIZUgMszJcIlcCzDHn5y2seoVLkQzhzl3U/dUdCQsD+E0so7dJTDvGVxa4tn13vw3fTq3+gLWmxtBjTlhjAjyXtyRZeHLyYO5cZJbDSLnt3KJQWOFLXZt0avZiMYz7X5z8911iYxKZdumrL9T9327Dq1Pf3OJafPDWXQV9wwLQQW2qmZTTLS4qWBDS6MTOd9ppSWL28BNGQRkcxcvpE9NAwwbMLsJKC3hct3CS07ZeFio/K+8jGJGRS0DEJ0TaL4agXoSSP9xQohJJXh43I5afv2fjq2tE33lBLxDj6xhtwXYXrGRIupSaKJCqWXHXI0bV16pFgddSxOhQbqX5di3H9loJvfvObnHbaaVQqFbTWPProo1x99dWcd955XHzxxRu83c1iPvx6rEnxcf755zNjxowNVnzUsTq2lJm6GoavAydB7CWIVIBGEcRlsk4rlXiYwWAlg745QbckJE3eJBx5CKG6lViH+HERjcYWLhpF1jmaFaXfkbIbaLBa8AlYUVpGqATTs1OwhYtQsWnZWa7JEh1ahrCTpuKjItNmVZEhHMmcuV9QomTHPN0/QNJW+LFEVStRxVAy4Fv0VEzSRdYBKXQtv3VNgfAXPjcXKUzV7mPTP8M/ey/Flpqd10PlurJ0EaWqALer7PDcgMPkdMyBne04lTJIm/mlbvKBxXMDZlTi89vP4Y6lV1btYwQ5V9FXkTXvu/OenMe3dz229v+mwoXPzWVSyszyKW0saj46rYlSPERDIUTddTfBk92IlIO731ZmRq6lET2QJ3r4ZZbf49O7TDJ5m5D2z2+LmDHZvCbDA4hJ20EcMT8Y5O5lCfoqgmLVHy8KJVEka6TLthVSakrVHFalBErBdUd+nBNu/yNRaKqHqUxIpWyjYoG0NCoWKCVIJCNyqbgWfRZVZ0FXJXIjM4Uw2oquo463OzbnTN39i35FJrsRM3XDZfab8aUt5/y2Blx00UX813/9F0uWLAGgs7OT733ve5x88oY7HGyQ+XCxWOTee+9l8eLFBEEw5ravfOUr61z3t7/9LWeffTann346P/rRj2rt2sbGRs4///w6qXsnoxpyP2IfkrA+SiL4M8pRSGFjCQdbxhQjC0vYhKpCKbqGhGUG1qSwiHVEpAP6KwWWFy+m0bPQaNAKx/KYkJqIQBo1rIixqu1R3bfIVOKcZJXEmZadHlhiDIO9bNWeJEG/GGLxUMBIxJkjNYvyLjnXVLxKkWRSylTCRq5EL3lhLsPhmp/2F2fP4ZIX5taSInZvXb8KXV/lSixpAxF9vs22jTYDvmKPNk0Ql3CkA1rRloh4NW/m9UYUrx+cfDzXvzIXR0JfZWyLeITIbUpCB+Z5XvXSXEaOW8ICRyZIX3YVflcJmXUYWAhuskKyaz7pX96J/z8fx+pIEw/5pHIRuZKLtIzdDMkcYctkyo05UraHLbI44QAtHnSXqdqnCILAQkpNMhET65gWz+TVJpIRpaJDFJr9OeH2PwLUCNyq5C4K/3979x0fRZn/AfwzM9vTSCENIaEo5QJEgkJAjqYUEcXzFAQRlCJygAEUxUY7mgU9EUGKYEHh/AEeKiCgVAlICdIiKARCSQhJSJa0LTPf3x+TDFlSSE9Ivm9f+5KdeWbmmWd3s999qgizuwyHLEAUSTu3ohSsLXhu+1qY1bcPbHZe75qxwpR3BOudPvoVULuzjRo1CsnJyVAURZuI+PLly2jQoEGZzlnqmrqYmBg8/PDDyMrKQmZmJnx8fJCcnAyLxQJ/f//brghRWSM+WEF3XE1dnuz/3ZwUWNIBRncoAsEmZ8Kh2GBTMtVattxlm4ySG9z1T8ChbIEoSMh0XIddyUaW0waFgFCP0Ui1fQWDaIZeNIGgQIQEBTKMqVe1plUA6ojWhPPq0lIGPQRvL8AtdyUJRw4yg0JwMeM6smU1fZzVqPWJs+gIWU4BJgmob3bCJgtIypbgyO2xIJM6ubBeVCfjzauxm3nka7zdruQB1DnrMmQ5RXgaZFzN1sNqV5dB69nAE9nyDVjtWWjg1gh6mw0wWHAu8zxssoATqWYYJTWPOTIwvHn5lg8rj1cPfA1fE2FKi3qgU/txefYRePnbIblLsKcryEjRQ29SC869vhM6fzfIyVkQfdRf9oauzSB27IVEezzS7QKsDgmpORJkElDf7ERqjoQT1yUkZasTUlsdwD1e6qheX6M6COSMVUCaTc1PplMNeH2NN5/nrWGbmVsT+nHnwVpT6ohf1mBFj0Ha/eT1oxNzp5xRFDX4W/ngwKopUMYqQFXW1P1ydlG5a+p6NP3Xnff9VozExETMnj0by5cvR3Z2dpnOUeqfkRMnTkT//v2RmpoKs9mM/fv348KFC4iIiMB777132+Mra8QHqyVyB0xA1KnBVu50IqL1GoySGwySGSJya98ApNpscNc/gUzHenUQBACdaIAoSGjkPhreRk+k5HyhzT+nkPoNbVAEmOzKzTnq8sSdVqfPcMo3F5K32YCMdMDhgLveBz4mdU696zYpd049NSDIyJ0GxKFAm2cub0WGPHoxLwAEFp1cjZlHSj/4QBQIRknBiVQzrmXrYJQI9/s7oBONMIhmhJrVjreyyYLLOeegEwlnrUZkOtVRqJKg1pJVh72Jq/Dz5c8xv8NgSAJwznYF2a0j4BPigLGVNwwtfODZuwGCn28Iny5e8GwmwdQxGPqIBjBPHQTjcw/B2Kc10u9rB6uSrs4pCHXwhVlHyHSIOHzNgIQsCVLuUnN2RZ3oOEcW4KknLXAzSQQPg/qaeOpzaw6lvH3qcXm1CQ7FtW+cogjaRMtDfvw/KLLaLGs2yVj54EAoisABHWOsgLS0NAwZMgT169dHcHAwPvroIyiKgrfffhtNmjTB/v378dlnn5X5/KVufj169Cg+/fRTSJIESZJgs9nQpEkTvPPOOxg2bBj+8Y9/FHt8ZY34YLWEqT/g2AwA6hQhshPISQckA0RZhkEyw2TqDwBIyv4MPkYjcuTvIYl6OBUbjFI/6IRN8BF9AdoBs+SJHGTghuM6GpibqU2okk5tAdQZIOiMUGIOqzVyigKSZQh6PWAyADqdujyVU1YnvHXKsNqvQS+a4K7LgZQb0NlkATKp69B6iYT7/DOhEw1IzpZhk41w06sTCuctASYJasDgAEpVQ3csdUXuChom6EXSllV7oH4DwGkHJf4FHQDSGZDuaQRBgV7U41SKGvi19LbDrFPQxmcElpxaXap55yqEdS0eCAhBqv0ykrI/w6MhMi5lGuBpSId53hhIOg9ImVbQxVjAZIC+R0vYJQfsggS9aIJDyUG2bIDT2wIoNtyQM2G13/wT5lDUfo1WB5BiE2C1qwG0TDdr2yx6dZCIJKgrXABqM22ODNhtEq5nArrcQSP1jOoPBzedery/rw3PbV+bWwunph/y4/9pK1Hkl79/HWOsICpn82vVjwaoGK+//jp2796NYcOGYcuWLZg4cSK2bNmCnJwcbN68GV27di3X+Usd1On1em2914CAAMTHx6Nly5bw8vJCfHz8bY+vrBEfrBZxqCs2CAY3kCNbnT6k/kjY5U1QFDscyreQyQmFZMjkgK+kTsqbZP8MTloDT70/QA7AngWDsR9y5P+igTFUPa8oArITyuGdAABBkgCTAZSdDcHNAsHTTV2r1WRQJ7jNzgEa34NUC+AkO3RKDvSiCTLZYBAJngYZWU4RjdztyHSIyJZFXM3WI8TdgCae9eBpuIQUmw4JmXqYdQKu29TKcTedWju05i91jdZBzYoOrnYnfA6jpEAhCRdu6LW1WB9upIeT7Eh2XIGf5K9OmKw4IXg1gB8pOJaVBJssaitU2GQBlzJFtPFB1QZzuY7YM5F19QLa+rrBO9UKT/+GqGdMBgFIs19DA4cAOntMfT2upgBpv8Ec3hVp9kRkOFMhQER8hgxDbhPnDYcBoqD2XUzN0UEUSBs0ohcJ9YwCJEFdokwScgM3RcANh6CtlKEoN1+LTJ1a05sjq8Fhmk2ARX9zyhlbjsi1b4xVkLq69uuPP/6IlStX4sEHH8TYsWPRrFkz3HPPPeVaRSK/Uje/3nvvvTh06BAAoHv37nj77bexevVqREVFoXXr1rc9/rnnnsO0adMwZcoUZGVlYfDgwViyZAn+85//YNCgQbc9vjKFhoZCEASXx2uvveaSJj4+Hv3794ebmxv8/PwwYcKEAoNFjh8/jq5du8JsNqNBgwaYOXMmbu26uGvXLkRERMBkMqFJkyZYsmRJgfysW7cOrVq1gtFoRKtWrbBhw4aKv+maTBABUuD0D0W2838gEIR8b9l0u4AgywvIcKxDmv2b3CDPCYeSgxzBjhydApv8I/SiMXf+MnUSYeXAzzevIYqATgchwA/w9b7Z7Cqq02uI9/WA4BkAUZDU+ewEMXd1CrXhTycSmtcjGCUROpGgy50qxNsYDJ1ogEEywD13HVdJIK05Vp97G1IJ/i5lONS1cE+n6SGTes1+IeoIX51ggF40wiYqkH0awOYbBJCCq3QV+txmWvVBuJRZvZ322/k9j9QcHYyiG5CYAOOVszBJ7vAzhiA4NRuUmQLKzgGlpAFOJyj9BoTUS5DJgTSbE3+mE+KsRlzO1CM5R4frNgkZDjVgFQWCKKjN2oBarjfswA27gEynoAVmeRy5L3Nec3lO7vSaeTV7Cqk1cTmyOtjh0y6DXfrQMcbKJ++zVp5Hae3evRv9+/dHcHAwBEHAd99957KfiDB9+nQEBwfDbDajW7duOHnyZMXccK4rV65orZJNmjSByWTCyJEjb3NUyZW6pm7OnDm4cUNdKmnWrFkYNmwYXnzxRTRr1qzE7cBFjfioCWbOnKlNsAwA7u7u2r9lWUa/fv1Qv3597N27FykpKRg2bBiICAsXLgSgdgJ96KGH0L17dxw8eBBnzpzB8OHD4ebmhsmTJwNQ+xU+/PDDGDVqFL766iv8+uuvGDt2LOrXr48nnlD77ERHR2PgwIGYNWsWHn/8cWzYsAFPPfUU9u7diw4dOlRhiVQDy+MAAIdxCyQPXwgkQxR0ICgQIMJD8ISik2Dx8EKO/D0AQCcYEGjJfd2cPwGCHpB0kMmJGw4rjOQGIT0BuJEMwcsjd+JaEWgQrE4QbLCoffgys4D6DdUF4Z05av8+px2iIMEouGl58DOpTcFybh89WXHAy+CEX+5kxjI5ISvqZMcWHeBtlHP74OX28dIpyHSIeLLp7WvMYtNEACICzUCvhnZIgh4yOXEtOwNGiaAXCTlyhtrnUDQjUbkGgoI0uxFuehnt6suoX44lxirSzgQRh1PSMOPebqCEk3BPvAwYrwOp14GcRNjvewAiJBgkM46lnoNTUSBmAjZZh8YeDhxJ1iMtXQdr7u8oN72EHKfaF84kAak5uU3bijrxcZ5Ru76B0yHC0yKrfR7tIrIy9fim/xN4bvtaroFjrA7IzMxE27Zt8dxzz2nftfm98847WLBgAVatWoV77rkH//73v/HQQw/h9OnTFbZmvaIoLitxSZIENze3Cjk3UE3z1NVUoaGhiIqKQlRUVKH7N2/ejEceeQQXL15EcLC61tCaNWswfPhwJCUlwdPTE4sXL8bUqVNx9epVGI1qj+x58+Zh4cKFuHTpEgRBwKuvvoqNGzciNjZWO/eYMWPw+++/Izo6GgAwcOBAWK1WbN68WUvTp08feHt745tvvinR/dyxo18BQPkZdrJBFCRIgh6CPXckkOJUBzfoTXBCrZUzJSeoKzoYPQCj5eZIVl1vIGuDOrec3gTIdtC1sxCCx4GSP1ObY512tY+dqEOGry+IKLcvmglmyRNZzjQQCE5SowiL5AUFMmRFnZ/ESXYoJEMvqqthOJQcOBQbMhw2mCS1tvdatgAF6qoOVzL18DXJuHBDD6tDnTOupA5eWwlfozO3ZgqwOiQ0cpchCXptwIBCMogIgiAg00GwOiTEWQ2wyUKxTbxV7aMTqxHqTng00AvQGWAXZIiCBJucCZuShROpMrKdAnQiIdsp4kKGCJMEpNmByW1qzn0wVptU5ejXTacXw60co18zb2Tj4eYvljmvgiBgw4YNGDBgAAC1li44OBhRUVF49dVXAQA2mw0BAQGYP38+XnjhhTLnNT9RFNG3b18tPvj+++/Ro0ePAoHd+vXry3b+0h7Qo0cPpKWlFdhutVrRo0eP2x5/9epVDB06FMHBwdDpdNqAi7xHdZs/fz58fX0RHh6O2bNnuzStRkdHIywsTAvoAKB3796w2Ww4fPiwlqZr167aC5aX5sqVKzh//ryWplevXi7X7d27Nw4dOgSHw1Fsmn379hWZd5vNBqvV6vK4Y4k9bwZT6VcAW4a6XRBzJwW2Qyf2hjkzS61lA25OFqzrrT4y1mmnUwSCrNMBlnqg1C9uLvdFCiA74fQPhSTc/PUkChLsihpICvn+u7UJ2K5ka/37iBRkONJhk3Ny9xGOpRiQnKODQkJuU20O/EwO1Dc7YSjFp2/bpS+gEJBml3A1Ww9RIPzN2xtuOm8AQD1DEESoAbC73gd60YR6RjOCLYCnQcblrLK8CJXj9d++xg2HgHM3BFyWr8AmOHHdfgXp9qsQBQlXs3KQ7VQHn9hkEQeSJMRnCIjPFGB13Jn9aBhjrvJGlpfnAaDAd57NZitTfuLi4pCYmOjyvWs0GtG1a9div3dLa9iwYfD394eXlxe8vLzwzDPPIDg4WHue9yirUje/7ty5s0AfMgDIycnBnj17bnv88OHDER8fj7feegtBQUHaoIua4KWXXkK7du3g7e2N3377DVOnTkVcXJw2gCMxMREBAQEux3h7e8NgMCAxMVFLExoa6pIm75jExEQ0bty40PMEBATA6XQiOTkZQUFBRabJu05h5s6dixkzZpTp3msiY1aWGnwJEkhxQFCc2mAAOHIAxwa1hg4AOW2gC7FAvXqAafnNiYRJB1geh5j+jVpjJ+pBcAAQIZi9AJ8QwGmHJOgA0QQLGQHJAFlQtClSDJIFJKs1eE7FBknUw03ygp1s0JMNTsWO3Qk2ADY08tDBXadON6JOPUKQCUjJkeBrkmHJXYGiZ4MSrumartbKNnK3w9so4lKm2qcu2OILQA0+fTNkCKZM+KQmQ/BrDMXoAXKqzcQG0YwrmTnw0Bd3kao15/7BeGX/18hxClh00gMmXTr6NpTga7QhNu06AB08DQqOJOvhpgMauBEuZwqYEcErMzDGXDVs2NDl+bRp0zB9+vRSnyfvu7Ww790LFy6UOX+3WrlyZYWdqzAlDuqOHTum/fvUqVMuwYUsy9iyZUuJZkDeu3cv9uzZg/Dw8NLltIymT59+20Dn4MGDaN++PSZOnKhta9OmDby9vfHPf/5Tq70DUGgQmtfclefWNHkt3BWRprggeOrUqZg0aZL23Gq1FnjD31HymloFESDZdf46UafuBwCvp4GLHwJenmo/ubxVImQHBK+nQSmrAEkHgRQ1CLQrINmh9pQXbqYXBQlQ7ICoQBQkEBRYdPWgQM7tJ6dAgQw3xQyIahMtOa/jjzRChkOEUVKbCn9PNsEkAWZd3qAJdfF6q11CfZMDf6Yb0aQkrQXWtSCSIQgSzDoFgiDBx+hAa59GcCg5UEiG27UEQNSB7JmAzQbKuAan0ag2yZKCS5mp8DKYgCpazL4kXtn/tTbNiF5UBzScTDUg02lAsEUNhJ2KgIZuBJsswE0HxKZVd64ZYxWprIMd8h8PABcvXnRpfs3fSlYWpf3erWlKHNSFh4drI0ILa2Y1m83aYIHiNGzYsMBI0Mo0bty4246qvbVmLU/Hjh0BAH/99Rd8fX0RGBiIAwcOuKS5fv06HA6HFt0HBgYWqE1LSkoCgNum0el0WvBYVJpbf0XkZzQay/2GrlG8nlb/b10LweCm9n+TnWpwpxdBN66qNXZZnwEmd3U/KRD8ngclLVXnbktaqgaAjhyg3jOgyx/l1tiJIACKmycUvQRFUavsJUkHZKVBUJzqh8PNB5LOAEu242aQqbPnDl+VYJOz4J47Y22qTUBbXyeMvoTjKUZE1M+Bt9ECm5yDv6x6WO0Sfktyg7OQpaXyS7evgQARngYLBEmHa3IijCTCL4PgJxggmAh6nReQYwWZcgPZrDQAgOATAoOggyhISLFdhLdR1JYfqyne7Vh4jdtbB7/Gv/42RFttwiSpc8lNDR+MJ5tWcSYZY5WqoqY08fT0rJD+f4GBgQDUGrugoCBt++2+d2uaEgd1cXFxICI0adIEv/32G+rXr6/tMxgM8Pf3L1GfuA8//BCvvfYaPv300yKDqYrk5+cHPz+/Mh0bExMDANoLHBkZidmzZyMhIUHbtnXrVhiNRkRERGhpXn/9ddjtdhgMBi1NcHCwdr+RkZH4/vvvXa61detWtG/fXhsVExkZiW3btrnUHm7duhWdOnUq073cyUhxQHACMBoA2Q7kWAFRpwZ6khHkyIbg86wawCkK6FrufIeiCOhMas2ePQsUv0A7p+D/N5AggMih1sqRAn16MigzVQ0MvYLyLg5kW0GyDYKQ+/7WmwDJAMGZA09DffyWlAG9qI6+jL5qQb8QEfd4maGQCTI5cDzVCJsswCipNU/X7epqEjIBDd3UHziPN74ZeHkZBuG6bTV2X8+Gj9GJUI96cDtxVF3dQqcD1U8F3HwguOXWHot6wCNADfByMpBpFOAgGwLMFTdMvirMuk8N9hRSV+y44YC2jBdjjFWmxo0bIzAwENu2bdNWvbLb7di1axfmz59fzbkruRIHdXkrQCiKUq4LDhw4EFlZWWjatCksFovL0F4ASE1NLdf5yyo6Ohr79+9H9+7d4eXlhYMHD2LixIl49NFH0ahRIwBAr1690KpVKwwdOhTvvvsuUlNT8fLLL2PUqFHaL4XBgwdjxowZGD58OF5//XX8+eefmDNnDt5++22tCnfMmDH4+OOPMWnSJIwaNQrR0dFYsWKFy6jWl156CX//+98xf/58PPbYY/jf//6H7du3Y+/evVVfONXNaQeJCgS96WaTaR5SAFvGzRo5OLX57QT/0WoTptN2c2BEVibgkTtJr2RQlxsjBYbsbEBnBOkMgCNHbbrVGdXav7zraaNonSBJD0HUwSL1hSh8CVEADKKAIDcHHArBKFogQMAvl51wKmowKAoKMhzqMl0OAN4G9demKBSsuV57FmjkLkIUJFgO/wayOyCYTYC/n3oPSAW8giBIepDTBsHkAWTngBQn9OZAoHwf02rx0r6vtcEjOTJwLdt1WhLGWO2Rf7BDWY8vrYyMDPz111/a87i4OBw9ehQ+Pj5o1KgRoqKiMGfOHNx99924++67MWfOHFgsFgwefOf8HSr1QInPP/8cfn5+6NevHwBgypQpWLp0KVq1aoVvvvmmwPJft6qoWZMrmtFoxNq1azFjxgzYbDaEhIRg1KhRmDJlipZGkiT8+OOPGDt2LDp37gyz2YzBgwe7rHnr5eWFbdu24V//+hfat28Pb29vTJo0yaWvW+PGjbFp0yZMnDgRixYt0tZ/yz9vTqdOnbBmzRq8+eabeOutt9C0aVOsXbu29s9RVwjB73l1JGteYKY41T5kOVa1OTZ/0KUzQZDUHwqU+oW6OoTOCJg81P22DJDtBpCZCng9DX3Gt+o5JZ2a1icElPQn6MRRwMsDaNgUgpsvBK8G6nVFCYLTht9Tz8Nql/D3IOCRkKF4/9jq3FUL9Mh2yrjb6yosOh0aewJXMvXwNsoQBYK3UcCFG64/ZCw6BRvivkKGQ8DQe4Zg55XP0dhDwP3+Erz1wSDZCiRdUyfldTiQFtEWdjkbRjkZ7h6+yJFvwE3nAZtBhCjoYJQehqH6B5KXWo4M/KfTzT+eY/eWfl1cxtidQSF1hHt5ji+tQ4cOoXv37trzvO/lYcOGYdWqVZgyZQqys7MxduxYXL9+HR06dMDWrVsrbI66qlDqeeqaN2+OxYsXo0ePHoiOjkbPnj3x4Ycf4ocffoBOpyvz3Cqs4t3R89QV5sa3oOQ4bWUIiHnVOtkQmr4KSvtKbYrMI4iAx5Og+AVqc6repE1sjJzc5m/Fqdb+uT8BZft4CAG+gMUMpN0A6vtACGqpDkQQ1Sjp99TzyHaK2goR7fye1y73/rHVGH6PDLuSjYQsPcySupJEkMUHDiUHFzNzoJCAa9k6JGZJavOruzO3bwlwOl2CQ1HnYVv952q09s1BsEWnLgGWlQZy2vCXTl3NQi8SGrhVzLxJNclL+752CewYY1WnKuep+/bEp7CUY566rBvZeDLshdrz/VZBSl1Td/HiRTRr1gwA8N133+Gf//wnRo8ejc6dO6Nbt26lOld2drY2L1sefnFYUSg5Tv2HogCCAiB35KpOAiUuUac7EdTmWXLagIxkIO1D9VhHNgSTJ2Bdqx6jN6nnEnWApT+Ufa8AJgOQYwd0OqBhI3Uy49yaQEF4CH+mL4NRFOAQBXWwwy3zzE1uMwSptq8gCXoYRMKlTAPMOgXu+mR4G4PRzNMNyTlJcCgC6hll1DM4cTnTAICQmKWDSVKbFBadXA29CFzL1iE1B+gUQDCYPPHr9WvQy7rcfnajq6rYqxQHdIzVDdXR/FoXlDqoc3d3R0pKCho1aoStW7dqHflNJhOys7Nve3xmZiZeffVV/Pe//0VKSkqB/bIslzZLrK5QSF1pHYDQaBLowGtqbZ3JAJgcaic1n2fVAA2A4OEGeLpDCHkZdOE9kCNHmxZFcPNRJzi+8B7gPAXBaAQ5HKDsHMBmg2AygBQFqUYHBFkE5K/goQduOAj31X+uyCz6GNUBD5cyP8td+UHQlu+SyQkfoy/8TJK2+sQNxw1cylAH1NQ3EbJy1ykd3nwIvj27GgDw27Uk2GQBUm6fzLu9RhV+ccYYu0NU1OhX5qrUK0o89NBDGDlyJEaOHIkzZ85ofetOnjxZotGsU6ZMwS+//IJPPvkERqMRy5cvx4wZMxAcHIwvvvii1DfA6g6h6auAQqDYc1C2vAhy5M4151R/CNCpE1D2Tr55QI5dDegOv6mmyZ3yRG2+7akOrgAAXW4HtByb+m9RBDKyIASOgUlyhyhIECBAJxpKFFDFXl8OP5MTviYZ4b4CDKLaxCAKEoyS283RtqIJAWZ1dQlRANz1Ciw69efnhriv8uJXZDrE3P4nwAOBwyukLBljrDrlzVNXngcrqNQ1dYsWLcKbb76JixcvYt26ddq8aocPH8bTTz992+O///57fPHFF+jWrRuef/55dOnSBc2aNUNISAhWr16NIUN4XUdWNKHpq6DTY9QndgdIp4Ny8jwoxwnJ3w2wmCF4eUC4bw6U9c+Bro0BPN0gWEzqsXHvAAAo+5ObAyzsucGhKAKKAvGB9wHHZgA7YNJ5QJQlmHWPlTiPLb3VqUSCLFuQ7bTCrmTjTEo6/ExOBJgbQCcYsPdqInxMTjR0c0c9QzYCLblzLhlkuOsFOBQBRkmGJKiVk38PKuEKFIwxxuqsUgd19erVw8cff1xge0mXp0pNTUXjxo0BqP3n8qYweeCBB/Diiy+WNjusLlIUUKYdcGQCSIMgCoBeAmU7ID26HMp3I0AXnwM5FAiwQXx4Cejwm6DfpwGG3IEU1qs3a+hEEfB0g3jfHCBrA5D9P7UvneyEZOoPc6k/JSq92Ad6/Q5A6I5jKZ+r65heTYOnQUaARUZqjg7nrQSzzgC9qM5hpxPVn5/eRllbzJ4DOsZYbaP2qStP82sFZqYWKdHX1bFjxxAWFgZRFF2WCytMmzZtit3fpEkTnD9/HiEhIWjVqhX++9//4v7778f333+PevXqlTjjrO4SH1kKeW2+QEcSIJr0UG44IH87HELuCg/kUCAN/BzKD6PVvnVGg1rtJYrq//PmXFQUCK2nq6Nk/RqrNXiiCJj6lz+zgjp8XiYgyykg06k2wwbAies2CRkOATpRgE2++cetnlHWRsS667mPKWOs9uGBEpWjREFdeHg4EhMT4e/vry0Xln8mlLzngiDcdqDDc889h99//x1du3bF1KlT0a9fPyxcuBBOpxMLFiwo9ljGNKIAyARyKIADoEwHIIkgmwzBqIM4YCVo7TAo341Q06ZZITy63HVwhU4HoeWboPgFN5tlM1NwzV3ElWwA2Z8h3Pf54vNRQj0bqEHoRyfUwQ8nU42QBMDLoE6Nok5CDPRu+GyFXI/VXe/8vhpuOsChAFGtuTsLY3VJiYK6uLg4bVmwuLi4cl0w/7JX3bt3xx9//IFDhw6hadOmaNu2bbnOzeoO6clVcCx/Wm16BdSALssB0c8MynZA/vpZkEIAnBAa+AFZOVB2T4Lg5QGIglozF/eOOvpVUQBJB6HRJNjkH2FWsuCmS0OavYztrsVwKGqtnR7qwAizToFTUZcQe+iuig3oNsV/iYcbDdWef3lmNewKMKIFf9HXRq/s/xrvdhyMKW3V13fRydXVnCPGilbewQ48UKJwJfrWyr9KxO1WjCitRo0aactwMVZapJAa2MkKBA+DGjVJgvpwKJCe+RzKLxO0QRBCW7XvJ1147+Ykxk4b4O0PKD9DJxpAUHC31yjsvPI5oq+uQmTA8ArL7+Q2Q/D+sdVoWU/R+pToRNJq8irCwWsrkekQoRdd+6uIgro+Laud3u14c46/D4+v5lo6VqPJKGdQV2E5qV1KFNRt3LixxCd89NFHC2z76KOPSnz8hAkTSpyW1W36kepaufLXag0XORSQTBD0OggeZgjeohrQGfTqiFZAHSwhCoC7BTBaAABCcGN1uhPZDknfFyn2zxCXsxxmnQSxgqdC+vLMajT3UmCU1Bq6iq6dAwB3nQyzpOB0mgmrTq9Gml3drheBf/2Nv+jrAg7oGKubShTUDRgwwOV5YX3q8hTWp+6DDz4oUWYEQeCgjpWbYDbk9qJVAEUd9EBXPgZupN9MZPaEEDhGXVM2F6Vdxg2v/0ISdDDrcuAgAW18RlRo3tz1pE26WdEBI6A2uTb2APQi5c5/J0EvCrjhAMa04i96xljNQOUcKFG6BU7rjhJNPqwoivbYunUrwsPDsXnzZqSlpSE9PR2bNm1Cu3btsGXLlkKPj4uLK9Hj3LlzFXpzrG4ghwJyKBA99BC9jGofudx558QHF0JonFsTZzYDJgOE1tOBgHsA5Wdt/dgMk4jMet7QiQYYJDNCPUbDapdwIGllheb18cbPIN2u1tBVdC3dtktfaH8kjZICH6MTEfWz0No3By3qObEh7qsKvR5jFeWHC19WdxZYFePJhyuHQFS6eDcsLAxLlizBAw884LJ9z549GD16NGJjY0t8rrxL56/pYxWnKhZnrimcnw2G4GGAIKlTlogDVoCOTwdMRsDLF1AUpNazwCS5QxBE6EUTZHLgSmYijJICnagu3VXf9ByOpa6A1S5BIQFmnVLssmA10dGUzwCov4LddAqa1xuJ02nL0bzeyGrOGWMFbYr/EpJAkElwGdjDql5VfGfkXeOTQ0thdreU+TzZGVkY2350nfh+K41SLxN29uxZeHl5Fdju5eWF8+fPl+gcK1asQFhYGEwmE0wmE8LCwrB8+fLSZoUxDeVOekQyQWgYBGX/q4Ddqa4WAcDqUw8WnRcEQYRCMvRiH5ik/hAFgkMR4FRk1Dc9h8uZn8JTr67kAOCOC+gAaNOwWO0SrA51ZAQHdKymkgT1xz3PO1a3cE1d5Sj1nA333XcfoqKi8NVXXyEoKAgAkJiYiMmTJ+P++++/7fFvvfUWPvjgA4wfPx6RkZEAgOjoaEycOBHnz5/Hv//979JmiTFt0ATFvaOu+ZojgGx2CIoCof7dcCM7nGRHjtMKJ9mR5fwMCqn9P1NtOgRbZFzNXg6ZBOhFQmTAcGw8/xU2nv8K6XYBQ++5s/qjVdT8egCw7txqPNFkCBadXM0DLcpoyanV3KexCDw3Y93EU5pUjlIHdZ999hkef/xxhISEaFORxMfH45577sF333132+MXL16MZcuWuawT++ijj6JNmzYYP348B3WsfCQdYAJgMkD0a6w+d+ZApzdBltWBAzoYIMMJhWQYJUKA2QGZAAkiGrmPxum05dh55XOIgohHQm7fHLTmr9UwSupfmMcbP1PJN1j5vj27GqIA+JqcsMkCErMlrPlrNTz1anCSIwOZTgFv3Dv49ier41b8oU4E7Gus7pwwVrPwihKVo9RBXbNmzXDs2DFs27YNf/zxB4gIrVq1woMPPliivnGyLKN9+/YFtkdERMDpdJY2O4y5EBpNAqWpAwJItkEAAIMIyE4YRDMcSg4UkiEKEmRSoBf1ECBDJgWBllE4Z10GUQDMOsVl6a6irDq9GnoRuaNZa8dfmbxfwIlZOrjrFdQzADky4G9WgBwRehEAase9VjZJUMtOX+qOLowxVnplmjJfEAT06tULvXr1KvWxzzzzDBYvXlxgSbClS5diyBBunmAVQxAkkOwAyZlA0jnAtwEEowf0BhOcZIeiOGCQDFqAdyFDh+u2FbDo1C/iDv7PYVP8l1rTI6DWYD3Z9OZ7dNulL9DADXAotauDt0MB9Do1GLluExHi4YRCgKdBhlMxwCgpSMiSsOr0agxvzp/Z4nD5MFY4bn6tHBW/DlIJrFixAlu3bkXHjh0BAPv378fFixfx7LPPYtKkSVo6XguWlYVQ7xlQ2legMyfV5x5ugCMH0JlhV+yQBB0UQYZAhACzOtrVrFP/QthkAS29R2Lj+a+gE9WpQQBg9Z8Fl1yyyeryXnqxdv11GXrPEKz5azUsueuHOhSgvtkJo0haefgY1QEmt5p55Gu83Y6bZRljxVPKGdRx82vhqjyoO3HiBNq1awdAHUkLAPXr10f9+vVx4sQJLR1Pc8LKQ6j3DAivqvPVZeUAWWmgnAx4BDaHUxLhVJJBUHJHuwqwySKa1xuJA0krsTdxFYySCEfumqxfnlEDulsnC66M9VprikHNXGuY8pqZDeLNP8RGiQosoyYJwOyYr7m/HWOMVYMSz1N36dIl3HXXXZWdH1aB6tI8dcWhKx8DpACyE9CbkO7rDYVkCBAgkxNZThsOXHXDff6ZSLXpYJNFRAYMx4nUFUjO0cFql/BoqDoAYuN5tb9e3vO6JG+BeIeiBnYmCfDUA/GZPGiCsdqgKuepm7tvKUzlmKcuJyMLUzvxPHW3KnH33bCwMHz5Jc/6ze5ApACCCEg65NRvAJ1ggChIEAQRfqZhaOQ+Go087MhwSHDTKYgMGI7Taeq8iWad4tJE8GjoM3UqoFsauxpLY9Vg7l9/GwK9qHb6N0lqYHcpq3KWO2OM1W48T13lKHHz65w5c/Cvf/0L3333HZYuXQpfX9/KzBdjFUdRIDRsDadih0B2SNBBIRmehqdwOm059CJBFHQ4ZzUi1SYgJnk16pv1uMvNgQ7+z+FaTsUuFXYnGd1yCJbGrsaSU2rz6+iWarNsXh9DfxPxH1fGGKshSlxTN3bsWPz++++4fv06/va3v2Hjxo2VmS/GKozQMAoA1Nq53Le8p+EpHEtdAb1I0IkEmyzg0dBn4JY7OCA1R4fm9UYiIetTyErdnmpndMshkEktlzx5AygGNRsCb6NS9MGMMVYIrqmrHKVe+xUAPv74Y0ycOBEtW7aETuda2XfkyJEKyxwrH+5Tl4/ys9oEK3THgaSVMOsUiAAUqHPMWe0SHArgVARkOUV4G2Xocke1PhA4vDpzzhhjVaIq+9S9vWdZufvUzewyir/fblHq0a8XLlzAunXr4OPjg8cee6xAUMdYjST2BABEX10Fo0SwySIkgdDO73mcTlsOo0mBUSJYHRIUArKcIpyKgG7Bw6o544wxxljJlCoiW7ZsGSZPnowHH3wQJ06cQP369SsrX4xVCnWVCBFGSUE7v+dxJPkzmCV1eo4mnqNwInUFnFDXf03N4R8sjDFWGXiZsMpR4m+tPn364LfffsPHH3+MZ5+tnXNzsdrv1pq3dn43F76/lrMSngYZNllAuO+oqs4aY4zVGbyiROUocVAnyzKOHTvGc9WxWqu+6bnqzgJjjNUJvKJE5ShxULdt27bKzAdjjDHGGCuHEk9pwhhjjDFWERSl/I+y+OSTT9C4cWOYTCZERERgz549FXtj1YyDOsYYY4xVqeqYp27t2rWIiorCG2+8gZiYGHTp0gV9+/ZFfHx8xd9gNeGgjjHGGGO13oIFCzBixAiMHDkSLVu2xIcffoiGDRti8eLF1Z21CsNzNjDGGGOsSsko5+jX3P9brVaX7UajEUajsUB6u92Ow4cP47XXXnPZ3qtXL+zbt6/sGalhuKaOMcYYY1Uqb5668jwAoGHDhvDy8tIec+fOLfR6ycnJkGUZAQEBLtsDAgKQmJhY2bdbZbimjjHGGGN3pIsXL7osE1ZYLV1+giC4PCeiAtvuZBzUMcYYY6xKVdTkw56eniVa+9XPzw+SJBWolUtKSipQe3cn4+ZXxhhjjFWpqh79ajAYEBERUWDO3W3btqFTp04VeGfVi2vqGGOMMVbrTZo0CUOHDkX79u0RGRmJpUuXIj4+HmPGjKnurFUYDuoYY4wxVqWqY5mwgQMHIiUlBTNnzkRCQgLCwsKwadMmhISElD0jNQwHdYwxxhirUvlHsJb1+LIYO3Ysxo4dW/YL13Ac1DHGGGOsSlXUQAnmigdKMMYYY4zVAlxTxxhjjLEqpSgCFKXs88OV59jajIM6xhhjjFUpRRagyOUI6spxbG3Gza+MMcYYY7UAB3WM1XE/X/4cR5I/AwAcTfmsmnPDGKsL8ppfy/NgBXFQx1gdZ5NFXMvW4VjqCogCcWDHGKt0HNRVDu5Tx1gdp84XJSDYogNBQUKWUt1ZYowxVgYc1DFWxz0SMhQAkJi1DKIgoY3PiGrOEWOstuPRr5WDgzrGGAAg0DKqurPAGKsjSCnf6FfioK5QdaZP3ezZs9GpUydYLBbUq1ev0DTx8fHo378/3Nzc4OfnhwkTJsBut7ukOX78OLp27Qqz2YwGDRpg5syZIHKd2nrXrl2IiIiAyWRCkyZNsGTJkgLXWrduHVq1agWj0YhWrVphw4YNBdJ88sknaNy4MUwmEyIiIrBnz56yFwBjjDHGarU6E9TZ7XY8+eSTePHFFwvdL8sy+vXrh8zMTOzduxdr1qzBunXrMHnyZC2N1WrFQw89hODgYBw8eBALFy7Ee++9hwULFmhp4uLi8PDDD6NLly6IiYnB66+/jgkTJmDdunVamujoaAwcOBBDhw7F77//jqFDh+Kpp57CgQMHtDRr165FVFQU3njjDcTExKBLly7o27cv4uPjK6F0GGOMsarDAyUqh0C3VjPVcqtWrUJUVBTS0tJctm/evBmPPPIILl68iODgYADAmjVrMHz4cCQlJcHT0xOLFy/G1KlTcfXqVRiNRgDAvHnzsHDhQly6dAmCIODVV1/Fxo0bERsbq517zJgx+P333xEdHQ0AGDhwIKxWKzZv3qyl6dOnD7y9vfHNN98AADp06IB27dph8eLFWpqWLVtiwIABmDt3bonu1Wq1wsvLC+np6fD09Cx9YTHGGKszquI7I+8aj3/9JfQWS5nP48jKwobBQ/n77RZ1pqbudqKjoxEWFqYFdADQu3dv2Gw2HD58WEvTtWtXLaDLS3PlyhWcP39eS9OrVy+Xc/fu3RuHDh2Cw+EoNs2+ffsAqLWKhw8fLpCmV69eWprC2Gw2WK1WlwdjjDFW0yhK+R+sIA7qciUmJiIgIMBlm7e3NwwGAxITE4tMk/f8dmmcTieSk5OLTZN3juTkZMiyXGyawsydOxdeXl7ao2HDhiW6d8YYY4zd+e7ooG769OkQBKHYx6FDh0p8PkEo2EZPRC7bb02T13pdEWlu3VaSNPlNnToV6enp2uPixYtFpmWMMcaqS97ar+V5sILu6ClNxo0bh0GDBhWbJjQ0tETnCgwMdBmoAADXr1+Hw+HQaswCAwML1JQlJSUBwG3T6HQ6+Pr6Fpsm7xx+fn6QJKnYNIUxGo0uTcOMMcZYTcTz1FWOO7qmzs/PDy1atCj2YTKZSnSuyMhInDhxAgkJCdq2rVu3wmg0IiIiQkuze/dul2lOtm7diuDgYC14jIyMxLZt21zOvXXrVrRv3x56vb7YNJ06dQIAGAwGREREFEizbds2LQ1jjDHGWH53dFBXGvHx8Th69Cji4+MhyzKOHj2Ko0ePIiMjA4A6CKFVq1YYOnQoYmJi8PPPP+Pll1/GqFGjtJE1gwcPhtFoxPDhw3HixAls2LABc+bMwaRJk7Rm0TFjxuDChQuYNGkSYmNj8dlnn2HFihV4+eWXtby89NJL2Lp1K+bPn48//vgD8+fPx/bt2xEVFaWlmTRpEpYvX47PPvsMsbGxmDhxIuLj4zFmzJiqKzTGGGOsEvCUJpXjjm5+LY23334bn3/+ufb83nvvBQDs2LED3bp1gyRJ+PHHHzF27Fh07twZZrMZgwcPxnvvvacd4+XlhW3btuFf//oX2rdvD29vb0yaNAmTJk3S0jRu3BibNm3CxIkTsWjRIgQHB+Ojjz7CE088oaXp1KkT1qxZgzfffBNvvfUWmjZtirVr16JDhw5amoEDByIlJQUzZ85EQkICwsLCsGnTJoSEhFRmMTHGGGOVTpYFiOXoFydzn7pC1bl56uoSnqeOMcZYSVXlPHW9ln5T7nnqto5+mr/fblFnauoYY4wxVjMoVM6BEsQ1dYXhoI4xxhhjVYrK2S+OuE9doerMQAnGGGOMsdqMa+oYY4wxVqV4nrrKwUEdY4wxxqpUeVeF4BUlCsdBHWOMMcaqFNfUVQ7uU8cYc7Hq9GqsOr26urPBGGOslLimjjHGGGNVSlHKV9umKBWYmVqEgzrGGGOMVSlufq0c3PzKGHMxvPkQDG8+pLqzwRhj1Wb27Nno1KkTLBYL6tWrV2ia+Ph49O/fH25ubvDz88OECRNgt9urNqO34Jo6xhhjjFWpmj761W6348knn0RkZCRWrFhRYL8sy+jXrx/q16+PvXv3IiUlBcOGDQMRYeHChZWat+JwUMcYY4yxKlXTlwmbMWMGAGDVqlWF7t+6dStOnTqFixcvIjg4GADw/vvvY/jw4Zg9e3a1rUfLza+MMcYYuyNZrVaXh81mq5LrRkdHIywsTAvoAKB3796w2Ww4fPhwleShMBzUMcYYY6xK5Q2UKM8DABo2bAgvLy/tMXfu3CrJf2JiIgICAly2eXt7w2AwIDExsUryUBhufmWMMcZYlaJy9qmj3GMvXrzo0tRpNBqLPGb69Olas2pRDh48iPbt25coD4JQMP9EVOj2qsJBHWOMMcbuSJ6eniXuvzZu3DgMGjSo2DShoaElOldgYCAOHDjgsu369etwOBwFavCqEgd1jDHGGKtSiiJAqOJ56vz8/ODn51fma+YXGRmJ2bNnIyEhAUFBQQDUwRNGoxEREREVco2y4KCOMcYYY1VLIfVRnuMrUXx8PFJTUxEfHw9ZlnH06FEAQLNmzeDu7o5evXqhVatWGDp0KN59912kpqbi5ZdfxqhRo6pt5CvAQR1jjBWw7dIXAICH7nrW5d+MsYohKgSxHIEZVXJQ9/bbb+Pzzz/Xnt97770AgB07dqBbt26QJAk//vgjxo4di86dO8NsNmPw4MF47733KjVft8NBHWOsTku1fQUf4zOIvroKABAZMBzN6+VALxJ2XvkcAC9HxFhds2rVqiLnqMvTqFEj/PDDD1WToRLioI4xVmclZX8GvWhEqu0rmHU3Vwj30LsBAFrUy8KviZbKbulhrM4RZIIgl/2DVZ5jazMO6hhjdZZRsgAACIQGbmqNnNX+X5gkdwCAXjQhy5lTbfljrLYSytn8qvAvrULx5MOMsTrLrmTDqdjhVOyQFSdkxYmELCtuOFIAAMk5KdWcQ8YYKzmuqWOM1VlEBCfsECAiywmIAqF5vVHa/lAP9cEYq1gila+mTiSuqSsMB3WMsTrL3/x8vn9XY0YYq2MEhSCUI6grz7G1GTe/MsYYY4zVAlxTxxhjjLEqJcqAWI4RrKJcgZmpRTioY4wxxliVKu/kw+U5tjbj5lfGGGOMsVqAa+oYY4wxVqW4pq5ycFDHGGOMsSrFo18rBwd1jDHGGKtSXFNXObhPHWOMMcZYLcA1dYwxxhirUqJM5ZzShGvqCsNBHWOMMcaqFC8TVjm4+ZUxxhhjrBbgmjrGGGOMVa1yjn4FD5QoFAd1jDHGGKtSPPq1cnDzK2OMMcZYLcA1dYwxxhirUjz6tXJwUMcYY4yxKsUrSlQObn5ljDHGGKsFuKaOMcYYY1VKVBSIilKu41lBHNQxxhhjrErx6NfKwUEdY4wxxqoUD5SoHNynjjHGGGOsFuCaOsYYY4xVKYHKOfqV134tFAd1jDHGGKtS3KeucnDzK2OMMcZYLcA1dYwxxhirUlxTVznqTE3d7Nmz0alTJ1gsFtSrV6/QNIIgFHgsWbLEJc3x48fRtWtXmM1mNGjQADNnzgTd0ra/a9cuREREwGQyoUmTJgXOAQDr1q1Dq1atYDQa0apVK2zYsKFAmk8++QSNGzeGyWRCREQE9uzZU/YCYIwxxmqIvNGv5XlUlvPnz2PEiBFo3LgxzGYzmjZtimnTpsFut7uki4+PR//+/eHm5gY/Pz9MmDChQJqqVmeCOrvdjieffBIvvvhiselWrlyJhIQE7TFs2DBtn9VqxUMPPYTg4GAcPHgQCxcuxHvvvYcFCxZoaeLi4vDwww+jS5cuiImJweuvv44JEyZg3bp1Wpro6GgMHDgQQ4cOxe+//46hQ4fiqaeewoEDB7Q0a9euRVRUFN544w3ExMSgS5cu6Nu3L+Lj4yuwVBhjjDGW3x9//AFFUfDpp5/i5MmT+OCDD7BkyRK8/vrrWhpZltGvXz9kZmZi7969WLNmDdatW4fJkydXY84BgW6tZqrlVq1ahaioKKSlpRXYJwgCNmzYgAEDBhR67OLFizF16lRcvXoVRqMRADBv3jwsXLgQly5dgiAIePXVV7Fx40bExsZqx40ZMwa///47oqOjAQADBw6E1WrF5s2btTR9+vSBt7c3vvnmGwBAhw4d0K5dOyxevFhL07JlSwwYMABz584t0b1arVZ4eXkhPT0dnp6eJTqGMcZY3VQV3xl513jqkaUw6M1lPo/dkY3//jC6yr7f3n33XSxevBjnzp0DAGzevBmPPPIILl68iODgYADAmjVrMHz4cCQlJVXbd26dqakrqXHjxsHPzw/33XcflixZAiXfUiTR0dHo2rWrFtABQO/evXHlyhWcP39eS9OrVy+Xc/bu3RuHDh2Cw+EoNs2+ffsAqLWKhw8fLpCmV69eWprC2Gw2WK1WlwdjjDFW0+T1qSvPoyqlp6fDx8dHex4dHY2wsDAtoAPU73GbzYbDhw9Xad7y44ES+cyaNQs9e/aE2WzGzz//jMmTJyM5ORlvvvkmACAxMRGhoaEuxwQEBGj7GjdujMTERG1b/jROpxPJyckICgoqMk1iYiIAIDk5GbIsF5umMHPnzsWMGTMKbOfgjjHG2O3kfVdURQOew5ldIcff+v1mNBpdKl4qwtmzZ7Fw4UK8//772rbCvse9vb1hMBiK/Z6ubHd0UDd9+vRCg5j8Dh48iPbt25fofHnBGwCEh4cDAGbOnOmyXRAEl2Py3vz5t5c1za3bSpImv6lTp2LSpEna88uXL6NVq1Zo2LBhkccwxhhj+aWkpMDLy6tSzm0wGBAYGIh1W6PKfS53d/cC32/Tpk3D9OnTC01flpjhypUr6NOnD5588kmMHDnSJW1h38e3+56ubHd0UDdu3DgMGjSo2DS31qyVRseOHWG1WnH16lUEBAQgMDCwQASelJQE4GaNXVFpdDodfH19i02Tdw4/Pz9IklRsmsLc+gvF3d0dp06dQqtWrXDx4sU63a/OarWiYcOGXA5cDgC4HPJwOai4HFTp6elo1KiRSzNjRTOZTIiLi6uQUaKFBVDF1dKVNma4cuUKunfvjsjISCxdutQlXWBgoMvgRgC4fv06HA5Hsd/Tle2ODur8/Pzg5+dXaeePiYmByWTSpkCJjIzE66+/DrvdDoPBAADYunUrgoODtTdCZGQkvv/+e5fzbN26Fe3bt4der9fSbNu2DRMnTnRJ06lTJwDqL5mIiAhs27YNjz/+uJZm27ZteOyxx0qcf1EU0aBBAwCAp6dnnf5jlYfLQcXloOJyUHE5qLgcVKJYud3tTSYTTCZTpV6jMKWJGS5fvozu3bsjIiICK1euLFAmkZGRmD17NhISEhAUFARA/R43Go2IiIio8LyXGNURFy5coJiYGJoxYwa5u7tTTEwMxcTE0I0bN4iIaOPGjbR06VI6fvw4/fXXX7Rs2TLy9PSkCRMmaOdIS0ujgIAAevrpp+n48eO0fv168vT0pPfee09Lc+7cObJYLDRx4kQ6deoUrVixgvR6Pf3f//2flubXX38lSZJo3rx5FBsbS/PmzSOdTkf79+/X0qxZs4b0ej2tWLGCTp06RVFRUeTm5kbnz58v1X2np6cTAEpPTy9r0dUKXA4qLgcVl4OKy0HF5aDiclBdvnyZmjVrRj169KBLly5RQkKC9sjjdDopLCyMevbsSUeOHKHt27fTXXfdRePGjavGnBPVmaBu2LBhBKDAY8eOHUREtHnzZgoPDyd3d3eyWCwUFhZGH374ITkcDpfzHDt2jLp06UJGo5ECAwNp+vTppCiKS5qdO3fSvffeSwaDgUJDQ2nx4sUF8vPtt99S8+bNSa/XU4sWLWjdunUF0ixatIhCQkLIYDBQu3btaNeuXaW+b/6QqrgcVFwOKi4HFZeDistBxeWgWrlyZaHxwq31YBcuXKB+/fqR2WwmHx8fGjduHOXk5FRTrlV1bp66usZms2Hu3LmYOnVqhY8IupNwOai4HFRcDiouBxWXg4rL4c7HQR1jjDHGWC3Akw8zxhhjjNUCHNQxxhhjjNUCHNQxxhhjjNUCHNQxxhhjjNUCHNTVQLNnz0anTp1gsVi0iY9vJQhCgceSJUtc0hw/fhxdu3aF2WxGgwYNMHPmzAJr+u3atQsREREwmUxo0qRJgXMAwLp169CqVSsYjUa0atUKGzZsKJDmk08+QePGjWEymRAREYE9e/aUvQBylaQc4uPj0b9/f7i5ucHPzw8TJkwoMFP5nV4OtwoNDS3w2r/22msuaWpaudQkVfEaVZbp06cXeO0DAwO1/USE6dOnIzg4GGazGd26dcPJkyddzmGz2TB+/Hj4+fnBzc0Njz76KC5duuSS5vr16xg6dCi8vLzg5eWFoUOHIi0tzSVNSd5jFWX37t3o378/goODIQgCvvvuO5f9Ne2+S/LZqoxyGD58eIH3R8eOHWtdObBiVNNUKqwYb7/9Ni1YsIAmTZpEXl5ehaYBQCtXrnSZFDErK0vbn56eTgEBATRo0CA6fvw4rVu3jjw8PAqdKPmll16iU6dO0bJlywpMlLxv3z6SJInmzJlDsbGxNGfOnCInSl62bBmdOnWKXnrpJXJzc6MLFy5UajnkTf7YvXt3OnLkCG3bto2Cg4NdJn+sDeVwq5CQEJo5c6bLa583iXZNLJeapKpeo8oybdo0+tvf/uby2iclJWn7582bRx4eHrRu3To6fvw4DRw4kIKCgshqtWppxowZQw0aNKBt27bRkSNHqHv37tS2bVtyOp1amj59+lBYWBjt27eP9u3bR2FhYfTII49o+0vyHqtImzZtojfeeIPWrVtHAGjDhg0u+2vSfZfks1VZ5TBs2DDq06ePy/sjJSXFJU1tKAdWNA7qarCVK1cWG9Td+oHO75NPPiEvLy+XiRDnzp1LwcHB2mTJU6ZMoRYtWrgc98ILL1DHjh2150899RT16dPHJU3v3r1p0KBB2vP777+fxowZ45KmRYsW9NprrxV7fyVVVDls2rSJRFGky5cva9u++eYbMhqN2uSZtakc8oSEhNAHH3xQ5P6aVi41SVW9RpVl2rRp1LZt20L3KYpCgYGBNG/ePG1bTk4OeXl50ZIlS4hIXRVHr9fTmjVrtDSXL18mURRpy5YtRER06tQpAuASmEdHRxMA+uOPP4ioZO+xynLr376adt8l+WxVRjkQqUHdY489VuQxtbEcmCtufr2DjRs3Dn5+frjvvvuwZMkSKIqi7YuOjkbXrl1dJpDs3bs3rly5gvPnz2tpevXq5XLO3r1749ChQ3A4HMWm2bdvHwDAbrfj8OHDBdL06tVLS1NZoqOjERYWhuDgYJe82Ww2HD58WEtTG8th/vz58PX1RXh4OGbPnu3S7FGTyqUmqc73akX6888/ERwcjMaNG2PQoEE4d+4cACAuLg6JiYku92c0GtG1a1ft/g4fPgyHw+GSJjg4GGFhYVqa6OhoeHl5oUOHDlqajh07wsvLyyXN7d5jVaWm3XdJPluVaefOnfD398c999yDUaNGISkpSdtXl8qhruKg7g41a9YsfPvtt9i+fTsGDRqEyZMnY86cOdr+xMREBAQEuByT9zwxMbHYNE6nE8nJycWmyTtHcnIyZFkuNk1lKSxv3t7eMBgMt73HvH3Fpamp5fDSSy9hzZo12LFjB8aNG4cPP/wQY8eO1fbXpHKpSarzvVpROnTogC+++AI//fQTli1bhsTERHTq1AkpKSnaPRR3f4mJiTAYDPD29i42jb+/f4Fr+/v7F/veuPU9VlVq2n2X5LNVWfr27YvVq1fjl19+wfvvv4+DBw+iR48esNls2vXrQjnUZRzUVZHCOjjf+jh06FCJz/fmm28iMjIS4eHhmDx5MmbOnIl3333XJY0gCC7PKbeDav7tZU1z67aSpAEqvhwKu8at166J5XCr0pTLxIkT0bVrV7Rp0wYjR47EkiVLsGLFCqSkpBSZj8LyUpXlUpPcafnNr2/fvnjiiSfQunVrPPjgg/jxxx8BAJ9//rmWpiz3d7v3RlnTVKWadN8l+dxUhoEDB6Jfv34ICwtD//79sXnzZpw5c0Z7nxSltpVDXaar7gzUFePGjcOgQYOKTRMaGlrm83fs2BFWqxVXr15FQEAAAgMDC/wayquGz/u1VFQanU4HX1/fYtPkncPPzw+SJBWbJr+KLIfAwEAcOHDAZdv169fhcDhue49A9ZbDrcpTLnmj2/766y/4+vrWqHKpScr7GtVEbm5uaN26Nf78808MGDAAgFoLEhQUpKXJf3+BgYGw2+24fv26S21NUlISOnXqpKW5evVqgWtdu3bN5Ty3e49VlbzRvzXlvkvy2aoqQUFBCAkJwZ9//qnlrS6WQ13CNXVVxM/PDy1atCj2YTKZynz+mJgYmEwmbeqPyMhI7N6926Wv1datWxEcHKwFB5GRkdi2bZvLebZu3Yr27dtDr9cXmybvD4DBYEBERESBNNu2bdPSVFY5REZG4sSJE0hISHDJm9FoRERERI0uh4osl5iYGADQvtBqUrnUJOV9jWoim82G2NhYBAUFoXHjxggMDHS5P7vdjl27dmn3FxERAb1e75ImISEBJ06c0NJERkYiPT0dv/32m5bmwIEDSE9Pd0lzu/dYValp912Sz1ZVSUlJwcWLF7W/DXW1HOqUKhqQwUrhwoULFBMTQzNmzCB3d3eKiYmhmJgYbdqKjRs30tKlS+n48eP0119/0bJly8jT05MmTJignSMtLY0CAgLo6aefpuPHj9P69evJ09Oz0CkrJk6cSKdOnaIVK1YUmLLi119/JUmSaN68eRQbG0vz5s0rciqPFStW0KlTpygqKorc3Nzo/PnzlVoOecPqe/bsSUeOHKHt27fTXXfd5TKsvjaUQ3779u2jBQsWUExMDJ07d47Wrl1LwcHB9Oijj2ppalq51CRV8RpVpsmTJ9POnTvp3LlztH//fnrkkUfIw8NDy/+8efPIy8uL1q9fT8ePH6enn3660Kk97rrrLtq+fTsdOXKEevToUeiUFm3atKHo6GiKjo6m1q1bFzqlRXHvsYp048YN7fMPQPsM5E1FU5PuuySfrcoohxs3btDkyZNp3759FBcXRzt27KDIyEhq0KBBrSsHVjQO6mqgYcOGEYACjx07dhAR0ebNmyk8PJzc3d3JYrFQWFgYffjhh+RwOFzOc+zYMerSpQsZjUYKDAyk6dOnFxhKvnPnTrr33nvJYDBQaGgoLV68uEB+vv32W2revDnp9Xpq0aIFrVu3rkCaRYsWUUhICBkMBmrXrh3t2rWr0suBSA38+vXrR2azmXx8fGjcuHEuQ+hrQznkd/jwYerQoQN5eXmRyWSi5s2b07Rp0ygzM9MlXU0rl5qksl+jypQ3/5per6fg4GD6xz/+QSdPntT2K4pC06ZNo8DAQDIajfT3v/+djh8/7nKO7OxsGjduHPn4+JDZbKZHHnmE4uPjXdKkpKTQkCFDyMPDgzw8PGjIkCF0/fp1lzQleY9VlB07dhT6t2DYsGE18r5L8tmq6HLIysqiXr16Uf369Umv11OjRo1o2LBhBe6xNpQDK5pAxNM7M8YYY4zd6bhPHWOMMcZYLcBBHWOMMcZYLcBBHWOMMcZYLcBBHWOMMcZYLcBBHWOMMcZYLcBBHWOMMcZYLcBBHWOMMcZYLcBBHWN3uNDQUHz44Yfac0EQ8N1331VbfmqD6dOnIzw8vLqzUSq3vg8qw6pVq7SlCBljNQ8HdYxVMVmW0alTJzzxxBMu29PT09GwYUO8+eab5Tp/QkIC+vbtW6K0HADWnjI4ePAgRo8eXWHnKyxIHDhwIM6cOVNh12CMVSwO6hirYpIk4fPPP8eWLVuwevVqbfv48ePh4+ODt99+u1znDwwMhNFoLG82WQ3hcDhKlK5+/fqwWCyVmhez2Qx/f/9KvQZjrOw4qGOsGtx9992YO3cuxo8fjytXruB///sf1qxZg88//xwGg6HI45KSktC/f3+YzWY0btzYJSjMk7/myW63Y9y4cQgKCoLJZEJoaCjmzp0LQK2JAYDHH38cgiBoz8+ePYvHHnsMAQEBcHd3x3333Yft27e7XCM0NBRz5szB888/Dw8PDzRq1AhLly51SXPp0iUMGjQIPj4+cHNzQ/v27XHgwAFt//fff4+IiAiYTCY0adIEM2bMgNPpLPLeFUXBzJkzcdddd8FoNCI8PBxbtmzR9p8/fx6CIGD9+vXo3r07LBYL2rZti+jo6CLPWVQZ5Pnyyy8RGhoKLy8vDBo0CDdu3ND2ERHeeecdNGnSBGazGW3btsX//d//FXmtvOvNmjULgwcPhru7O4KDg7Fw4UKXNIIgYMmSJXjsscfg5uaGf//73wCAxYsXo2nTpjAYDGjevDm+/PLLAufOX7OWnp6O0aNHw9/fH56enujRowd+//13l2M2btyI9u3bw2Qywc/PD//4xz8AAN26dcOFCxcwceJECIIAQRAAFN78ert8CYKA5cuX4/HHH4fFYsHdd9+NjRs3FltOjLEyqua1ZxmrsxRFoW7dulHPnj3J39+fZs2addtj+vbtS2FhYbRv3z46dOgQderUicxmM33wwQdaGgC0YcMGIiJ69913qWHDhrR79246f/487dmzh77++msiIkpKSiIAtHLlSkpISKCkpCQiIjp69CgtWbKEjh07RmfOnKE33niDTCYTXbhwQbtGSEgI+fj40KJFi+jPP/+kuXPnkiiKFBsbS0REN27coCZNmlCXLl1oz5499Oeff9LatWtp3759RES0ZcsW8vT0pFWrVtHZs2dp69atFBoaStOnTy/y3hcsWECenp70zTff0B9//EFTpkwhvV5PZ86cISKiuLg4AkAtWrSgH374gU6fPk3//Oc/KSQkhBwOR6HnLKoMpk2bRu7u7vSPf/yDjh8/Trt376bAwEB6/fXXtWNff/11atGiBW3ZsoXOnj1LK1euJKPRSDt37izyHkJCQsjDw4Pmzp1Lp0+fpo8++ogkSaKtW7e6vH7+/v60YsUKOnv2LJ0/f57Wr19Per2eFi1aRKdPn6b333+fJEmiX375xeXcee8DRVGoc+fO1L9/fzp48CCdOXOGJk+eTL6+vpSSkkJERD/88ANJkkRvv/02nTp1io4ePUqzZ88mInVB97vuuotmzpxJCQkJlJCQQEREK1euJC8vL+2aJckXALrrrrvo66+/pj///JMmTJhA7u7uWj4YYxWHgzrGqlFsbCwBoNatWxcZeOQ5ffo0AaD9+/cXOL6ooG78+PHUo0cPUhSl0HPmT1ucVq1a0cKFC7XnISEh9Mwzz2jPFUUhf39/Wrx4MRERffrpp+Th4VHkF3eXLl1ozpw5Ltu+/PJLCgoKKjIPwcHBWtCR57777qOxY8cS0c2gbvny5dr+kydPEgAt2CxMYWUwbdo0slgsZLVatW2vvPIKdejQgYiIMjIyyGQyaUFqnhEjRtDTTz9d5LVCQkKoT58+LtsGDhxIffv2dclPVFSUS5pOnTrRqFGjXLY9+eST9PDDD7ucO+998PPPP5Onpyfl5OS4HNO0aVP69NNPiYgoMjKShgwZUmxe87+viAoGdSXJFwB68803tecZGRkkCAJt3ry5yGszxsqGm18Zq0afffYZLBYL4uLicOnSpWLTxsbGQqfToX379tq2Fi1aFDsacfjw4Th69CiaN2+OCRMmYOvWrbfNU2ZmJqZMmYJWrVqhXr16cHd3xx9//IH4+HiXdG3atNH+LQgCAgMDkZSUBAA4evQo7r33Xvj4+BR6jcOHD2PmzJlwd3fXHqNGjUJCQgKysrIKpLdarbhy5Qo6d+7ssr1z586IjY0tMl9BQUEAoOWrNEJDQ+Hh4eFyrrzznDp1Cjk5OXjooYdc7uGLL77A2bNniz1vZGRkgee33kP+1xhQX/uS3Huew4cPIyMjA76+vi75i4uL0/J39OhR9OzZs9i83k5J85X/NXFzc4OHh0eZXhPGWPF01Z0Bxuqq6OhofPDBB9i8eTPeeecdjBgxAtu3b9f6L92KiACgyP2FadeuHeLi4rB582Zs374dTz31FB588MFi+3698sor+Omnn/Dee++hWbNmMJvN+Oc//wm73e6STq/XuzwXBAGKogBQO9QXR1EUzJgxQ+vDlZ/JZCryuFvvnYgKbMufr7x9efkqjeLuL+//P/74Ixo0aOCSriyDVG69Bzc3t9umKeze8yiKgqCgIOzcubPAvrwfAbd7jUqqtK9J3jFleU0YY8XjmjrGqkF2djaGDRuGF154AQ8++CCWL1+OgwcP4tNPPy3ymJYtW8LpdOLQoUPattOnTyMtLa3Ya3l6emLgwIFYtmwZ1q5di3Xr1iE1NRWA+mUry7JL+j179mD48OF4/PHH0bp1awQGBuL8+fOlur82bdrg6NGj2nVu1a5dO5w+fRrNmjUr8BDFgn+WPD09ERwcjL1797ps37dvH1q2bFmqvN2qsDK4nVatWsFoNCI+Pr5A/hs2bFjssfv37y/wvEWLFsUe07Jly1Lde7t27ZCYmAidTlcgf35+fgDU1+jnn38u8poGg+G25VLafDHGKhfX1DFWDV577TUoioL58+cDABo1aoT3338fkyZNQp8+fQqMwgSA5s2bo0+fPhg1ahSWLl0KnU6HqKioYmtcPvjgAwQFBSE8PByiKOLbb79FYGCgVlsTGhqKn3/+GZ07d4bRaIS3tzeaNWuG9evXo3///hAEAW+99Vapa1WefvppzJkzBwMGDMDcuXMRFBSEmJgYBAcHIzIyEm+//TYeeeQRNGzYEE8++SREUcSxY8dw/PhxbbTnrV555RVMmzYNTZs2RXh4OFauXImjR48WOgK4NAorg9vx8PDAyy+/jIkTJ0JRFDzwwAOwWq3Yt28f3N3dMWzYsCKP/fXXX/HOO+9gwIAB2LZtG7799lv8+OOPxV7vlVdewVNPPYV27dqhZ8+e+P7777F+/foCo5LzPPjgg4iMjMSAAQMwf/58NG/eHFeuXMGmTZswYMAAtG/fHtOmTUPPnj3RtGlTDBo0CE6nE5s3b8aUKVO0ctm9ezcGDRoEo9GoBYPlyRdjrJJVb5c+xuqenTt3kiRJtGfPngL7evXqVezAhoSEBOrXrx8ZjUZq1KgRffHFFwU6tCNfx/+lS5dSeHg4ubm5kaenJ/Xs2ZOOHDmipd24cSM1a9aMdDodhYSEEJE64KB79+5kNpupYcOG9PHHH1PXrl3ppZde0o4rrBN927Ztadq0adrz8+fP0xNPPEGenp5ksVioffv2dODAAW3/li1btNG7np6edP/999PSpUuLLDdZlmnGjBnUoEED0uv11LZtW5fO9nkDJWJiYrRt169fJwC0Y8eOIs9bWBlMmzaN2rZt65Lugw8+0PYTqYND/vOf/1Dz5s1Jr9dT/fr1qXfv3rRr164irxUSEkIzZsygp556iiwWCwUEBNCHH37okgZFDF755JNPqEmTJqTX6+mee+6hL774osC5878mVquVxo8fT8HBwaTX66lhw4Y0ZMgQio+P19KsW7eOwsPDyWAwkJ+fH/3jH//Q9kVHR1ObNm3IaDRS3lfFrQMlSpKvwu7Hy8uLVq5cWWQ5McbKRiDK7ajDGGOsUoWGhiIqKgpRUVEVfu6goCDMmjULI0eOrPBzM8buDNz8yhhjd7CsrCz8+uuvuHr1Kv72t79Vd3YYY9WIB0owxtgdbOnSpRg0aBCioqIKTJfCGKtbuPmVMcYYY6wW4Jo6xhhjjLFagIM6xu5wty7kXl2ICKNHj4aPjw8EQcDRo0erO0uFKmxR+uo0ffp0hIeHl+qYbt26lXuwRbdu3SAIQoW8VsOHD9fO9d1335XrXIyxsuOgjjFWIbZs2YJVq1bhhx9+QEJCAsLCwqo7SzUm4C3Oyy+/XOwkwIVZv349Zs2aVe5r5y3NVt7X6j//+Q8SEhLKnR/GWPnw6FfGWIU4e/YsgoKC0KlTpyLT2O12GAyGKsxVzUVEkGVZW5e1NIpaU7e0LBYLAgMDy30eLy8veHl5VUCOGGPlwTV1jNVg3bp1w7hx4zBu3DjUq1cPvr6+ePPNN1Hc+KYFCxagdevWcHNzQ8OGDTF27FhkZGRo+/OaH3/66Se0bNkS7u7u6NOnT4GalpUrV6Jly5YwmUxo0aIFPvnkkyKvOXz4cIwfPx7x8fEQBEFbESMv/5MmTYKfnx8eeughAMCuXbtw//33w2g0IigoCK+99hqcTqfLfY8fPx5RUVHw9vZGQEAAli5diszMTDz33HPw8PBA06ZNsXnz5mLL7sKFC5g4caLWNJhfRd4/ANhsNkyYMAH+/v4wmUx44IEHcPDgQW3/zp07IQgCfvrpJ7Rv3x5GoxF79uwp0PzqdDoxYcIE7fV+9dVXMWzYMAwYMMDl3vI3v4aGhmLOnDl4/vnn4eHhgUaNGmHp0qXF5rcw+fN47733wmw2o0ePHkhKSsLmzZvRsmVLeHp64umnn0ZWVlapz88Yq2TVOPExY+w2unbtSu7u7vTSSy/RH3/8QV999RVZLBaXlRduXUnggw8+oF9++YXOnTtHP//8MzVv3pxefPFFbf/KlStJr9fTgw8+SAcPHqTDhw9Ty5YtafDgwVqapUuXUlBQEK1bt47OnTtH69atIx8fH1q1alWh+UxLS6OZM2fSXXfdRQkJCZSUlOSS/1deeYX++OMPio2NpUuXLpHFYqGxY8dSbGwsbdiwgfz8/FxWo+jatSt5eHjQrFmz6MyZMzRr1iwSRZH69u1LS5cupTNnztCLL75Ivr6+lJmZWWieUlJS6K677qKZM2dSQkICJSQkVNr9ExFNmDCBgoODadOmTXTy5EkaNmwYeXt7U0pKChER7dixgwBQmzZtaOvWrfTXX39RcnJygdUr/v3vf5OPjw+tX7+eYmNjacyYMeTp6UmPPfaYS/ncusKHj48PLVq0iP7880+aO3cuiaJIsbGxReb31nPkz2PHjh1p7969dOTIEWrWrBl17dqVevXqRUeOHKHdu3eTr68vzZs3r8A5UcRqGIyxqsFBHWM1WNeuXally5Yuy4a9+uqr1LJlS+15YUt25fff//6XfH19tecrV64kAPTXX39p2xYtWkQBAQHa84YNG9LXX3/tcp5Zs2ZRZGRkkde5dRmtvPyHh4e7bHv99depefPmLve0aNEicnd3J1mWteMeeOABbb/T6SQ3NzcaOnSoti0hIYEAUHR0dJF5KqxsKuP+MzIySK/X0+rVq7VtdrudgoOD6Z133iGimwHTd99953LsrUFdQEAAvfvuuy733qhRo9sGdc8884z2XFEU8vf3p8WLFxea38LOkT+P27dv17bNnTuXANDZs2e1bS+88AL17t27wDk5qGOsenGfOsZquI4dO7o0HUZGRuL999+HLMuQJKlA+h07dmDOnDk4deoUrFYrnE4ncnJykJmZCTc3NwBqX6qmTZtqxwQFBSEpKQkAcO3aNVy8eBEjRozAqFGjtDROp7NM/abat2/v8jw2NhaRkZEu99S5c2dkZGTg0qVLaNSoEQCgTZs22n5JkuDr64vWrVtr2wICAgBAy3dpVPT9nz17Fg6HA507d9a26fV63H///YiNjXVJe2t55Jeeno6rV6/i/vvv17ZJkoSIiAgoilLsPeUvL0EQEBgYWKayufVcAQEBsFgsaNKkicu23377rUznZoxVHg7qGKtFLly4gIcffhhjxozBrFmz4OPjg71792LEiBFwOBxaOr1e73KcIAhaP7284GHZsmXo0KGDS7rCgsjbyQsk8xBRgf5tedfOv72wPObflpf2dsFOYSr6/gvLf972W7fdWh6FKap8ilPYPZWlbG49163lXt5zM8YqDw+UYKyG279/f4Hnd999d6EBxqFDh+B0OvH++++jY8eOuOeee3DlypVSXS8gIAANGjTAuXPn0KxZM5dH48aNy3UvANCqVSvs27fPJVDZt28fPDw80KBBg3KfPz+DwQBZlkt1TFnuv1mzZjAYDNi7d6+2zeFw4NChQ2jZsmWJr+3l5VWgFkyWZcTExJTqHhhjdRPX1DFWw128eBGTJk3CCy+8gCNHjmDhwoV4//33C03btGlTOJ1OLFy4EP3798evv/6KJUuWlPqa06dPx4QJE+Dp6Ym+ffvCZrPh0KFDuH79OiZNmlSu+xk7diw+/PBDjB8/HuPGjcPp06cxbdo0TJo0CaJYsb8zQ0NDsXv3bgwaNAhGoxF+fn4lOq609+/m5oYXX3wRr7zyCnx8fNCoUSO88847yMrKwogRI0qV5/Hjx2Pu3Llo1qwZWrRogYULF+L69esFau8YY+xWHNQxVsM9++yzyM7Oxv333w9JkjB+/HiMHj260LTh4eFYsGAB5s+fj6lTp+Lvf/875s6di2effbZU1xw5ciQsFgveffddTJkyBW5ubmjdunW5VzEAgAYNGmDTpk145ZVX0LZtW/j4+GDEiBF48803y33uW82cORMvvPACmjZtCpvNVqJmTKBs9z9v3jwoioKhQ4fixo0baN++PX766Sd4e3uXKs+vvvoqEhMT8eyzz0KSJIwePRq9e/cuU9M3Y6xuEaikf+UYY1WuW7duCA8Pr/GrIrDKoygKWrZsiaeeeqpCVpHIUxnvLUEQsGHDBpc59RhjVYf71DHGWA1y4cIFLFu2DGfOnMHx48fx4osvIi4uDoMHD67wa33yySdwd3fH8ePHy3WeMWPGlHpVDMZYxeOaOsZqMK6pq3suXryIQYMG4cSJEyAihIWFYd68efj73/9eode5fPkysrOzAQCNGjUq1/JtSUlJsFqtANTpYUoywpcxVvE4qGOMMcYYqwW4+ZUxxhhjrBbgoI4xxhhjrBbgoI4xxhhjrBbgoI4xxhhjrBbgoI4xxhhjrBbgoI4xxhhjrBbgoI4xxhhjrBbgoI4xxhhjrBbgoI4xxhhjrBb4f3iylOhg2vvIAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Looking at a specific level and time of our data\n",
    "ds.reflectivity.isel(time=5, z=5).plot(cmap='Spectral_r', vmin=-20, vmax=70)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "#QUICK COMPOSITE REFLECTIVITY HERE:\n",
    "maxrefl = ds['reflectivity'].max(dim='z')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x2ac8a7370>"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "maxrefl.isel(time=0).plot(cmap='Spectral_r', vmin=-20, vmax=70)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Load in *tobac*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "scrolled": true,
    "tags": []
   },
   "outputs": [],
   "source": [
    "import tobac\n",
    "import tobac.testing\n",
    "import tobac.feature_detection\n",
    "import tobac.segmentation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "feature_detection_params = dict()\n",
    "feature_detection_params['threshold'] = [30]#, 40, 50]\n",
    "feature_detection_params['target'] = 'maximum'\n",
    "feature_detection_params['position_threshold'] = 'weighted_diff'\n",
    "feature_detection_params['n_erosion_threshold'] = 2\n",
    "feature_detection_params['sigma_threshold'] = 1\n",
    "feature_detection_params['n_min_threshold'] = 4\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Note that to track in 3D, we must give information about what our height coordinate is. Iris tends to be picky about the naming conventions, so we need to assign standard names as well."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "ds.z.attrs[\"standard_name\"] = \"altitude\"\n",
    "ds.lat.attrs[\"standard_name\"] = \"latitude\"\n",
    "ds.lon.attrs[\"standard_name\"] = \"longitude\"\n",
    "\n",
    "xr_grid_full = ds[\"reflectivity\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "#Even though we read in our data using Xarray, and Xarray is our data handler of choice (could also be Pandas)\n",
    "#we need to conver this data to iris cubes. Future versions of tobac will be built on Xarray, but for now we convert.\n",
    "grid_iris = xr_grid_full.to_iris()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# #FURTHER, to use tobac we need to know the grid spacing in both x/y/z and time:\n",
    "# # #Dt, DXY\n",
    "# datetimes = xr_grid_full['time']\n",
    "# timedeltas = [(datetimes[i-1]-datetimes[i]).astype('timedelta64[m]') for i in range(1, len(datetimes))]\n",
    "# print(len(timedeltas))\n",
    "# average_timedelta = sum(timedeltas) / len(timedeltas)\n",
    "# dt = np.abs(np.array(average_timedelta)).astype('timedelta64[m]').astype(int)\n",
    "\n",
    "\n",
    "# deltax = [xr_grid_full['x'][i-1]-xr_grid_full['x'][i] for i in range(1, len(xr_grid_full['x']))]\n",
    "# dxy = np.abs(np.mean(deltax).astype(int))/1000\n",
    "\n",
    "\n",
    "# print(dxy,dt)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "500.8347245409095\n",
      "300\n"
     ]
    }
   ],
   "source": [
    "dxy, dt = tobac.utils.get_spacings(grid_iris)\n",
    "print(dxy)\n",
    "print(dt)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "#I also want to define a save directory. \n",
    "#Set up directory to save output and plots:\n",
    "savedir='tobac_Save'\n",
    "if not os.path.exists(savedir):\n",
    "    os.makedirs(savedir)\n",
    "plot_dir=savedir+\"/tobac_Plot\"\n",
    "if not os.path.exists(plot_dir):\n",
    "    os.makedirs(plot_dir)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## We're going to start simple before getting more complicated: tracking in 2D"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "#Create a composite reflectivity to get started, turning our 3D reflectivity into 2D:\n",
    "maxrefl = xr_grid_full.max(dim='z')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "#Convert to iris:\n",
    "maxrefl_iris = maxrefl.to_iris()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {
    "scrolled": true,
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "starting feature detection based on multiple thresholds\n",
      "feature detection done\n",
      "features saved\n"
     ]
    }
   ],
   "source": [
    "#FIND OUR FEATURES!\n",
    "\n",
    "print('starting feature detection based on multiple thresholds')\n",
    "Features_df = tobac.feature_detection_multithreshold(maxrefl_iris, dxy, **feature_detection_params)\n",
    "\n",
    "Features=Features_df.to_xarray()\n",
    "print('feature detection done')\n",
    "\n",
    "Features.to_netcdf(os.path.join(savedir,'Features.nc'))\n",
    "print('features saved')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {
    "tags": []
   },
   "outputs": [
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       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
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       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
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       "\n",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:                  (index: 1014)\n",
       "Coordinates:\n",
       "  * index                    (index) int64 0 1 2 3 4 ... 1010 1011 1012 1013\n",
       "Data variables: (12/13)\n",
       "    frame                    (index) int64 0 0 0 0 0 0 0 ... 24 24 24 24 24 24\n",
       "    idx                      (index) int64 1 2 3 4 6 7 8 ... 65 66 67 68 69 71\n",
       "    hdim_1                   (index) float64 190.9 305.6 232.7 ... 467.1 536.8\n",
       "    hdim_2                   (index) float64 217.4 132.7 187.5 ... 428.8 359.8\n",
       "    num                      (index) int64 1079 9688 75 5 7 ... 223 12 15 37 7\n",
       "    threshold_value          (index) int64 30 30 30 30 30 30 ... 30 30 30 30 30\n",
       "    ...                       ...\n",
       "    time                     (index) object 2008-04-11 18:12:23 ... 2008-04-1...\n",
       "    timestr                  (index) object &#x27;2008-04-11 18:12:23&#x27; ... &#x27;2008-0...\n",
       "    projection_y_coordinate  (index) float64 -5.438e+04 3.059e+03 ... 1.188e+05\n",
       "    projection_x_coordinate  (index) float64 -4.111e+04 -8.352e+04 ... 3.019e+04\n",
       "    latitude                 (index) float64 34.16 34.67 34.34 ... 35.4 35.71\n",
       "    longitude                (index) float64 -87.22 -87.68 ... -86.06 -86.44</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-d72e0f9a-7de3-40b5-b7dd-664dbf068076' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d72e0f9a-7de3-40b5-b7dd-664dbf068076' 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'>index</span>: 1014</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-7c2e0ad5-b3bc-49df-8099-155c9fbeb021' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7c2e0ad5-b3bc-49df-8099-155c9fbeb021' class='xr-section-summary' >Coordinates: <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 class='xr-has-index'>index</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 ... 1010 1011 1012 1013</div><input id='attrs-323bbf1a-0f9d-4bb9-a22a-caea59fe7ad5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-323bbf1a-0f9d-4bb9-a22a-caea59fe7ad5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9088bfa7-1704-4aad-a588-1b711e52d506' class='xr-var-data-in' type='checkbox'><label for='data-9088bfa7-1704-4aad-a588-1b711e52d506' 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,    2, ..., 1011, 1012, 1013])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b5b7c090-9464-4442-8330-d36ba9549f61' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b5b7c090-9464-4442-8330-d36ba9549f61' class='xr-section-summary' >Data variables: <span>(13)</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>frame</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 0 0 0 0 0 0 ... 24 24 24 24 24 24</div><input id='attrs-8de9358b-8589-461b-b115-56576ece3f48' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8de9358b-8589-461b-b115-56576ece3f48' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ee6c4f65-d1c9-4c74-83c4-5f4cdb18fe43' class='xr-var-data-in' type='checkbox'><label for='data-ee6c4f65-d1c9-4c74-83c4-5f4cdb18fe43' 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,  0, ..., 24, 24, 24])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>idx</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 2 3 4 6 7 8 ... 65 66 67 68 69 71</div><input id='attrs-747e3a09-31dc-4856-a9cd-aee27f462795' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-747e3a09-31dc-4856-a9cd-aee27f462795' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2cb0bccf-ff75-43c1-9dbc-fe07afb390fd' class='xr-var-data-in' type='checkbox'><label for='data-2cb0bccf-ff75-43c1-9dbc-fe07afb390fd' 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,  2,  3, ..., 68, 69, 71])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>hdim_1</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>190.9 305.6 232.7 ... 467.1 536.8</div><input id='attrs-5fc15189-b779-465a-abb2-9a4f64c88fe2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5fc15189-b779-465a-abb2-9a4f64c88fe2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bed7ef7e-a249-4838-87be-6f223ed446a0' class='xr-var-data-in' type='checkbox'><label for='data-bed7ef7e-a249-4838-87be-6f223ed446a0' 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([190.92310225, 305.60827423, 232.65435517, ..., 458.50261951,\n",
       "       467.11951224, 536.78037042])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>hdim_2</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>217.4 132.7 187.5 ... 428.8 359.8</div><input id='attrs-ff9021ce-ff03-4592-991f-8042e828e6ae' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ff9021ce-ff03-4592-991f-8042e828e6ae' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-478ff1a6-8980-4788-b1d6-36c97790ffb9' class='xr-var-data-in' type='checkbox'><label for='data-478ff1a6-8980-4788-b1d6-36c97790ffb9' 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([217.42111362, 132.73303546, 187.47522731, ..., 423.53552979,\n",
       "       428.78326059, 359.78507397])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>num</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1079 9688 75 5 7 ... 223 12 15 37 7</div><input id='attrs-d96f930f-ba47-4ccd-b11d-399091e85710' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d96f930f-ba47-4ccd-b11d-399091e85710' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8648a577-c516-4f1e-8821-d0bff42142fc' class='xr-var-data-in' type='checkbox'><label for='data-8648a577-c516-4f1e-8821-d0bff42142fc' 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([1079, 9688,   75, ...,   15,   37,    7])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>threshold_value</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>30 30 30 30 30 ... 30 30 30 30 30</div><input id='attrs-03268dc2-c922-42d3-9ef4-238e678ab01b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-03268dc2-c922-42d3-9ef4-238e678ab01b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cdafbed3-a847-4099-a4a3-093330a2802b' class='xr-var-data-in' type='checkbox'><label for='data-cdafbed3-a847-4099-a4a3-093330a2802b' 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([30, 30, 30, ..., 30, 30, 30])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>feature</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 2 3 4 5 ... 1011 1012 1013 1014</div><input id='attrs-20d1d0b1-82f3-4754-9b42-8209eb72e9d6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-20d1d0b1-82f3-4754-9b42-8209eb72e9d6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-508becc3-dcd0-4a35-ad98-2c110bfbb2b2' class='xr-var-data-in' type='checkbox'><label for='data-508becc3-dcd0-4a35-ad98-2c110bfbb2b2' 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,    2,    3, ..., 1012, 1013, 1014])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>2008-04-11 18:12:23 ... 2008-04-...</div><input id='attrs-e4404531-7240-438f-a407-6b592d3ac8eb' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e4404531-7240-438f-a407-6b592d3ac8eb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9616f18c-452b-482b-af96-b86de1445fe8' class='xr-var-data-in' type='checkbox'><label for='data-9616f18c-452b-482b-af96-b86de1445fe8' 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([cftime.DatetimeGregorian(2008, 4, 11, 18, 12, 23, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(2008, 4, 11, 18, 12, 23, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(2008, 4, 11, 18, 12, 23, 0, has_year_zero=False),\n",
       "       ...,\n",
       "       cftime.DatetimeGregorian(2008, 4, 11, 20, 20, 58, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(2008, 4, 11, 20, 20, 58, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(2008, 4, 11, 20, 20, 58, 0, has_year_zero=False)],\n",
       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>timestr</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;2008-04-11 18:12:23&#x27; ... &#x27;2008-...</div><input id='attrs-ddf48fb3-4c24-42ab-9104-2a0463a1f1d4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ddf48fb3-4c24-42ab-9104-2a0463a1f1d4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ba7d1af7-8fe4-4707-971a-bbef97adc1da' class='xr-var-data-in' type='checkbox'><label for='data-ba7d1af7-8fe4-4707-971a-bbef97adc1da' 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;2008-04-11 18:12:23&#x27;, &#x27;2008-04-11 18:12:23&#x27;,\n",
       "       &#x27;2008-04-11 18:12:23&#x27;, ..., &#x27;2008-04-11 20:20:58&#x27;,\n",
       "       &#x27;2008-04-11 20:20:58&#x27;, &#x27;2008-04-11 20:20:58&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>projection_y_coordinate</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-5.438e+04 3.059e+03 ... 1.188e+05</div><input id='attrs-a4e32944-1a70-4c22-9a5e-dfb76577092b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a4e32944-1a70-4c22-9a5e-dfb76577092b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-820058cb-6cd8-4eaf-9f16-6673b9feb001' class='xr-var-data-in' type='checkbox'><label for='data-820058cb-6cd8-4eaf-9f16-6673b9feb001' 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([-54379.08067544,   3059.23584341, -33478.62011565, ...,\n",
       "        79634.03314329,  83949.6722385 , 118838.24895707])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>projection_x_coordinate</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-4.111e+04 -8.352e+04 ... 3.019e+04</div><input id='attrs-4b90d534-4dbd-42c8-ae30-4f950b07f89a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4b90d534-4dbd-42c8-ae30-4f950b07f89a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5ae3fd6f-52c5-454c-9059-862bf8ca6595' class='xr-var-data-in' type='checkbox'><label for='data-5ae3fd6f-52c5-454c-9059-862bf8ca6595' 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([-41107.95644928, -83522.68674834, -56105.89617347, ...,\n",
       "        62121.30039404,  64749.54620303,  30192.8584164 ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>34.16 34.67 34.34 ... 35.4 35.71</div><input id='attrs-2d183a8a-2b91-43a3-a9bc-86879aa72d01' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2d183a8a-2b91-43a3-a9bc-86879aa72d01' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0018edd1-0716-490a-9385-0d2cbe511147' class='xr-var-data-in' type='checkbox'><label for='data-0018edd1-0716-490a-9385-0d2cbe511147' 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([34.15634087, 34.67030806, 34.34359344, ..., 35.36045623,\n",
       "       35.39910102, 35.71448396])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-87.22 -87.68 ... -86.06 -86.44</div><input id='attrs-e15e8e5a-a986-41b1-84c2-b7ff35e0242c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e15e8e5a-a986-41b1-84c2-b7ff35e0242c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b2ae6b0a-115e-4d79-add5-84d64f34542a' class='xr-var-data-in' type='checkbox'><label for='data-b2ae6b0a-115e-4d79-add5-84d64f34542a' 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([-87.21825008, -87.68481782, -87.3826083 , ..., -86.0864703 ,\n",
       "       -86.05714735, -86.43709451])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2ed1eedc-0b49-451c-857f-90a2e9df2170' class='xr-section-summary-in' type='checkbox'  ><label for='section-2ed1eedc-0b49-451c-857f-90a2e9df2170' class='xr-section-summary' >Indexes: <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-index-name'><div>index</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-4fccddc7-f2de-4fd0-b6c7-eaf69528ab92' class='xr-index-data-in' type='checkbox'/><label for='index-4fccddc7-f2de-4fd0-b6c7-eaf69528ab92' 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(RangeIndex(start=0, stop=1014, step=1, name=&#x27;index&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-50b4ddd8-68cf-4c9c-b6d6-635be10b8d77' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-50b4ddd8-68cf-4c9c-b6d6-635be10b8d77' 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:                  (index: 1014)\n",
       "Coordinates:\n",
       "  * index                    (index) int64 0 1 2 3 4 ... 1010 1011 1012 1013\n",
       "Data variables: (12/13)\n",
       "    frame                    (index) int64 0 0 0 0 0 0 0 ... 24 24 24 24 24 24\n",
       "    idx                      (index) int64 1 2 3 4 6 7 8 ... 65 66 67 68 69 71\n",
       "    hdim_1                   (index) float64 190.9 305.6 232.7 ... 467.1 536.8\n",
       "    hdim_2                   (index) float64 217.4 132.7 187.5 ... 428.8 359.8\n",
       "    num                      (index) int64 1079 9688 75 5 7 ... 223 12 15 37 7\n",
       "    threshold_value          (index) int64 30 30 30 30 30 30 ... 30 30 30 30 30\n",
       "    ...                       ...\n",
       "    time                     (index) object 2008-04-11 18:12:23 ... 2008-04-1...\n",
       "    timestr                  (index) object '2008-04-11 18:12:23' ... '2008-0...\n",
       "    projection_y_coordinate  (index) float64 -5.438e+04 3.059e+03 ... 1.188e+05\n",
       "    projection_x_coordinate  (index) float64 -4.111e+04 -8.352e+04 ... 3.019e+04\n",
       "    latitude                 (index) float64 34.16 34.67 34.34 ... 35.4 35.71\n",
       "    longitude                (index) float64 -87.22 -87.68 ... -86.06 -86.44"
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Features"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "# Dictionary containing keyword arguments for segmentation step:\n",
    "parameters_segmentation={}\n",
    "parameters_segmentation['method']='watershed'\n",
    "parameters_segmentation['threshold']= 30 \n",
    "#parameters_segmentation['features']\n",
    "#parameters_segmentation['field']\n",
    "#parameters_segmentation['dxy']\n",
    "#parameters_segmentation['target']\n",
    "#parameters_segmentation['level']\n",
    "#parameters_segmentation['max_distance']\n",
    "#Maximum distance from a marker allowed to be classified as\n",
    "        #belonging to that cell. Default is None.\n",
    "#parameters_segmentation['vertical_coord']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Starting segmentation based on reflectivity\n",
      "segmentation based on reflectivity performed, start saving results to files\n"
     ]
    }
   ],
   "source": [
    "# Features_df=Features.to_dataframe()\n",
    "\n",
    "# Perform Segmentation and save resulting mask to NetCDF file:\n",
    "print('Starting segmentation based on reflectivity')\n",
    "Mask_iris,Features_Precip =tobac.segmentation.segmentation(Features_df,maxrefl_iris,dxy,**parameters_segmentation)\n",
    "\n",
    "Mask=xr.DataArray.from_iris(Mask_iris)\n",
    "Mask = Mask.to_dataset()\n",
    "\n",
    "\n",
    "#Mask,Features_Precip=segmentation(Features,maxrefl,dxy,**parameters_segmentation)\n",
    "print('segmentation based on reflectivity performed, start saving results to files')\n",
    "Mask.to_netcdf(os.path.join(savedir,'Mask_Segmentation_refl.nc'))                \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "# Dictionary containing keyword arguments for the linking step:\n",
    "parameters_linking={}\n",
    "parameters_linking['stubs'] = 3 #5\n",
    "parameters_linking['method_linking']='predict'\n",
    "parameters_linking['adaptive_stop']=0.2\n",
    "parameters_linking['adaptive_step']=0.95\n",
    "parameters_linking['extrapolate']=0\n",
    "parameters_linking['order']=2 #Order of polynomial for extrapolating\n",
    "parameters_linking['subnetwork_size']=100 \n",
    "parameters_linking['memory']= 3#4\n",
    "#parameters_linking['time_cell_min']=1\n",
    "parameters_linking['v_max']=0.6 \n",
    "parameters_linking['d_min']= None #5 \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {
    "tags": []
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   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Frame 24: 56 trajectories present.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/mgrover/mambaforge/envs/ams-open-radar-2023-dev/lib/python3.10/site-packages/trackpy/predict.py:227: UserWarning: Could not generate velocity field for prediction: no tracks\n",
      "  warn('Could not generate velocity field for prediction: no tracks')\n",
      "/Users/mgrover/mambaforge/envs/ams-open-radar-2023-dev/lib/python3.10/site-packages/xarray/coding/times.py:618: RuntimeWarning: invalid value encountered in cast\n",
      "  int_num = np.asarray(num, dtype=np.int64)\n"
     ]
    }
   ],
   "source": [
    "# Perform trajectory linking using trackpy and save the resulting DataFrame:\n",
    "\n",
    "Track_df=tobac.linking_trackpy(Features_df,Mask_iris,dt=dt,dxy=dxy,**parameters_linking)\n",
    "\n",
    "Track = Track_df.to_xarray()\n",
    "\n",
    "Track.to_netcdf(os.path.join(savedir,'Track.nc'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {
    "tags": []
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:                  (index: 1014)\n",
       "Coordinates:\n",
       "  * index                    (index) int64 0 1 2 3 4 ... 1010 1011 1012 1013\n",
       "Data variables: (12/13)\n",
       "    frame                    (index) int64 0 0 0 0 0 0 0 ... 24 24 24 24 24 24\n",
       "    idx                      (index) int64 1 2 3 4 6 7 8 ... 65 66 67 68 69 71\n",
       "    hdim_1                   (index) float64 190.9 305.6 232.7 ... 467.1 536.8\n",
       "    hdim_2                   (index) float64 217.4 132.7 187.5 ... 428.8 359.8\n",
       "    num                      (index) int64 1079 9688 75 5 7 ... 223 12 15 37 7\n",
       "    threshold_value          (index) int64 30 30 30 30 30 30 ... 30 30 30 30 30\n",
       "    ...                       ...\n",
       "    time                     (index) object 2008-04-11 18:12:23 ... 2008-04-1...\n",
       "    timestr                  (index) object &#x27;2008-04-11 18:12:23&#x27; ... &#x27;2008-0...\n",
       "    projection_y_coordinate  (index) float64 -5.438e+04 3.059e+03 ... 1.188e+05\n",
       "    projection_x_coordinate  (index) float64 -4.111e+04 -8.352e+04 ... 3.019e+04\n",
       "    latitude                 (index) float64 34.16 34.67 34.34 ... 35.4 35.71\n",
       "    longitude                (index) float64 -87.22 -87.68 ... -86.06 -86.44</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-7a9ebfbe-b330-4392-8432-98b284e7fe7f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7a9ebfbe-b330-4392-8432-98b284e7fe7f' 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'>index</span>: 1014</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-25453346-a787-477b-a18c-9c8871399553' class='xr-section-summary-in' type='checkbox'  checked><label for='section-25453346-a787-477b-a18c-9c8871399553' class='xr-section-summary' >Coordinates: <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 class='xr-has-index'>index</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 ... 1010 1011 1012 1013</div><input id='attrs-577a4a53-b90d-4107-ba4b-2d76a8dc8621' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-577a4a53-b90d-4107-ba4b-2d76a8dc8621' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-13d5a8d6-71e6-4d45-97f9-27eb6fe540f5' class='xr-var-data-in' type='checkbox'><label for='data-13d5a8d6-71e6-4d45-97f9-27eb6fe540f5' 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,    2, ..., 1011, 1012, 1013])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1cf9a23c-6e37-4a4a-83e3-e9b9065af289' class='xr-section-summary-in' type='checkbox'  checked><label for='section-1cf9a23c-6e37-4a4a-83e3-e9b9065af289' class='xr-section-summary' >Data variables: <span>(13)</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>frame</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 0 0 0 0 0 0 ... 24 24 24 24 24 24</div><input id='attrs-065e39e2-7195-4e3f-a0c1-c4deb4fba79a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-065e39e2-7195-4e3f-a0c1-c4deb4fba79a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9ff060bf-9df5-4912-90a0-22da3db941f3' class='xr-var-data-in' type='checkbox'><label for='data-9ff060bf-9df5-4912-90a0-22da3db941f3' 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,  0, ..., 24, 24, 24])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>idx</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 2 3 4 6 7 8 ... 65 66 67 68 69 71</div><input id='attrs-27e5ea63-a9d3-43e2-a0f4-8382cca80d95' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-27e5ea63-a9d3-43e2-a0f4-8382cca80d95' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e39b8e61-2570-47eb-8478-3a1fa332e033' class='xr-var-data-in' type='checkbox'><label for='data-e39b8e61-2570-47eb-8478-3a1fa332e033' 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,  2,  3, ..., 68, 69, 71])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>hdim_1</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>190.9 305.6 232.7 ... 467.1 536.8</div><input id='attrs-8c7d908e-b937-4455-a586-aaa8b99fb155' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8c7d908e-b937-4455-a586-aaa8b99fb155' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aa685399-cb9d-4abb-b4e5-2a37c14f255d' class='xr-var-data-in' type='checkbox'><label for='data-aa685399-cb9d-4abb-b4e5-2a37c14f255d' 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([190.92310225, 305.60827423, 232.65435517, ..., 458.50261951,\n",
       "       467.11951224, 536.78037042])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>hdim_2</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>217.4 132.7 187.5 ... 428.8 359.8</div><input id='attrs-37d1e0fd-0ae9-4f4d-a529-74ef3c17b59e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-37d1e0fd-0ae9-4f4d-a529-74ef3c17b59e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-54a5f539-a37c-4ee9-a3c5-0f0a1037abc1' class='xr-var-data-in' type='checkbox'><label for='data-54a5f539-a37c-4ee9-a3c5-0f0a1037abc1' 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([217.42111362, 132.73303546, 187.47522731, ..., 423.53552979,\n",
       "       428.78326059, 359.78507397])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>num</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1079 9688 75 5 7 ... 223 12 15 37 7</div><input id='attrs-b37b2042-d7d3-46fb-90fe-7e0510f5a7a8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b37b2042-d7d3-46fb-90fe-7e0510f5a7a8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f0809976-970f-448f-8928-2939090a5516' class='xr-var-data-in' type='checkbox'><label for='data-f0809976-970f-448f-8928-2939090a5516' 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([1079, 9688,   75, ...,   15,   37,    7])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>threshold_value</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>30 30 30 30 30 ... 30 30 30 30 30</div><input id='attrs-adb04f77-9e47-4104-8ac4-efd05c752c65' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-adb04f77-9e47-4104-8ac4-efd05c752c65' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bb184bbb-8311-4d1f-8e39-64fd234b38b3' class='xr-var-data-in' type='checkbox'><label for='data-bb184bbb-8311-4d1f-8e39-64fd234b38b3' 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([30, 30, 30, ..., 30, 30, 30])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>feature</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 2 3 4 5 ... 1011 1012 1013 1014</div><input id='attrs-a9eb1a7a-ef4a-47cf-914c-201dd4485eab' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a9eb1a7a-ef4a-47cf-914c-201dd4485eab' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d1357f9d-2267-4c50-b53f-765ff5be7fa6' class='xr-var-data-in' type='checkbox'><label for='data-d1357f9d-2267-4c50-b53f-765ff5be7fa6' 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,    2,    3, ..., 1012, 1013, 1014])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>2008-04-11 18:12:23 ... 2008-04-...</div><input id='attrs-ba8cf232-f94c-4829-80c6-a77b60115e83' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ba8cf232-f94c-4829-80c6-a77b60115e83' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d3a7bdb3-5cbb-4e40-840d-1cec8cb7ae96' class='xr-var-data-in' type='checkbox'><label for='data-d3a7bdb3-5cbb-4e40-840d-1cec8cb7ae96' 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([cftime.DatetimeGregorian(2008, 4, 11, 18, 12, 23, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(2008, 4, 11, 18, 12, 23, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(2008, 4, 11, 18, 12, 23, 0, has_year_zero=False),\n",
       "       ...,\n",
       "       cftime.DatetimeGregorian(2008, 4, 11, 20, 20, 58, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(2008, 4, 11, 20, 20, 58, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(2008, 4, 11, 20, 20, 58, 0, has_year_zero=False)],\n",
       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>timestr</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;2008-04-11 18:12:23&#x27; ... &#x27;2008-...</div><input id='attrs-47b9e277-e551-4cca-9269-4df2ec38bc9d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-47b9e277-e551-4cca-9269-4df2ec38bc9d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-95dc258d-1e9e-459e-939c-1f2feefd519f' class='xr-var-data-in' type='checkbox'><label for='data-95dc258d-1e9e-459e-939c-1f2feefd519f' 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;2008-04-11 18:12:23&#x27;, &#x27;2008-04-11 18:12:23&#x27;,\n",
       "       &#x27;2008-04-11 18:12:23&#x27;, ..., &#x27;2008-04-11 20:20:58&#x27;,\n",
       "       &#x27;2008-04-11 20:20:58&#x27;, &#x27;2008-04-11 20:20:58&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>projection_y_coordinate</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-5.438e+04 3.059e+03 ... 1.188e+05</div><input id='attrs-5960e562-a8d1-4ed9-87d4-c52e2b226b9d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5960e562-a8d1-4ed9-87d4-c52e2b226b9d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aacf5de0-6a51-4270-b56d-ec90975bd01a' class='xr-var-data-in' type='checkbox'><label for='data-aacf5de0-6a51-4270-b56d-ec90975bd01a' 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([-54379.08067544,   3059.23584341, -33478.62011565, ...,\n",
       "        79634.03314329,  83949.6722385 , 118838.24895707])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>projection_x_coordinate</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-4.111e+04 -8.352e+04 ... 3.019e+04</div><input id='attrs-ec7a275c-f873-48a5-922c-6a769dc4537c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ec7a275c-f873-48a5-922c-6a769dc4537c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d6682486-0165-48cb-a9a7-ceaafa554b82' class='xr-var-data-in' type='checkbox'><label for='data-d6682486-0165-48cb-a9a7-ceaafa554b82' 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([-41107.95644928, -83522.68674834, -56105.89617347, ...,\n",
       "        62121.30039404,  64749.54620303,  30192.8584164 ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>34.16 34.67 34.34 ... 35.4 35.71</div><input id='attrs-722db7d3-b709-40c3-b0ec-a9c4785872fe' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-722db7d3-b709-40c3-b0ec-a9c4785872fe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0138fb3b-a7a3-4be6-a828-04438b76c725' class='xr-var-data-in' type='checkbox'><label for='data-0138fb3b-a7a3-4be6-a828-04438b76c725' 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([34.15634087, 34.67030806, 34.34359344, ..., 35.36045623,\n",
       "       35.39910102, 35.71448396])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-87.22 -87.68 ... -86.06 -86.44</div><input id='attrs-5a5b914c-eb35-46dd-89ad-286b531d8a4c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5a5b914c-eb35-46dd-89ad-286b531d8a4c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d16e7dc8-7783-49d3-aeb9-b1b63366cc77' class='xr-var-data-in' type='checkbox'><label for='data-d16e7dc8-7783-49d3-aeb9-b1b63366cc77' 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([-87.21825008, -87.68481782, -87.3826083 , ..., -86.0864703 ,\n",
       "       -86.05714735, -86.43709451])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-97bc8f99-2653-42a8-9f98-afbdab80c290' class='xr-section-summary-in' type='checkbox'  ><label for='section-97bc8f99-2653-42a8-9f98-afbdab80c290' class='xr-section-summary' >Indexes: <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-index-name'><div>index</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-e4396ca3-9380-4f12-8e3c-3c483c22f3ff' class='xr-index-data-in' type='checkbox'/><label for='index-e4396ca3-9380-4f12-8e3c-3c483c22f3ff' 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(RangeIndex(start=0, stop=1014, step=1, name=&#x27;index&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d337ae98-a508-4935-b625-e47326fc9aea' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d337ae98-a508-4935-b625-e47326fc9aea' 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:                  (index: 1014)\n",
       "Coordinates:\n",
       "  * index                    (index) int64 0 1 2 3 4 ... 1010 1011 1012 1013\n",
       "Data variables: (12/13)\n",
       "    frame                    (index) int64 0 0 0 0 0 0 0 ... 24 24 24 24 24 24\n",
       "    idx                      (index) int64 1 2 3 4 6 7 8 ... 65 66 67 68 69 71\n",
       "    hdim_1                   (index) float64 190.9 305.6 232.7 ... 467.1 536.8\n",
       "    hdim_2                   (index) float64 217.4 132.7 187.5 ... 428.8 359.8\n",
       "    num                      (index) int64 1079 9688 75 5 7 ... 223 12 15 37 7\n",
       "    threshold_value          (index) int64 30 30 30 30 30 30 ... 30 30 30 30 30\n",
       "    ...                       ...\n",
       "    time                     (index) object 2008-04-11 18:12:23 ... 2008-04-1...\n",
       "    timestr                  (index) object '2008-04-11 18:12:23' ... '2008-0...\n",
       "    projection_y_coordinate  (index) float64 -5.438e+04 3.059e+03 ... 1.188e+05\n",
       "    projection_x_coordinate  (index) float64 -4.111e+04 -8.352e+04 ... 3.019e+04\n",
       "    latitude                 (index) float64 34.16 34.67 34.34 ... 35.4 35.71\n",
       "    longitude                (index) float64 -87.22 -87.68 ... -86.06 -86.44"
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Features"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "d = tobac.merge_split.merge_split_MEST(Track_df,500., distance=25000.0)\n",
    "\n",
    "Track = xr.open_dataset(savedir+\"/Track.nc\")\n",
    "# ds = tobac.utils.standardize_track_dataset(Track, refl_mask)#, data['ProjectionCoordinateSystem'])\n",
    "# both_ds = xarray.merge([ds, d],compat ='override')\n",
    "\n",
    "# both_ds = tobac.utils.compress_all(both_ds)\n",
    "# both_ds.to_netcdf(os.path.join(savedir,'Track_features_merges.nc'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
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       "</symbol>\n",
       "</defs>\n",
       "</svg>\n",
       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
       " *\n",
       " */\n",
       "\n",
       ":root {\n",
       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
       "  --xr-background-color: var(--jp-layout-color0, white);\n",
       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "}\n",
       "\n",
       "html[theme=dark],\n",
       "body[data-theme=dark],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-index-preview {\n",
       "  grid-column: 2 / 5;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data,\n",
       ".xr-index-data-in:checked ~ .xr-index-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:                   (track: 1, cell: 1, feature: 1014)\n",
       "Coordinates:\n",
       "  * track                     (track) float64 0.0\n",
       "  * cell                      (cell) int64 -1\n",
       "  * feature                   (feature) int64 1 2 3 4 5 ... 1011 1012 1013 1014\n",
       "Data variables:\n",
       "    cell_parent_track_id      (cell) float64 0.0\n",
       "    feature_parent_cell_id    (feature) int64 -1 -1 -1 -1 -1 ... -1 -1 -1 -1 -1\n",
       "    feature_parent_track_id   (feature) float64 -1.0 -1.0 -1.0 ... -1.0 -1.0\n",
       "    track_child_cell_count    (track) float64 1.0\n",
       "    cell_child_feature_count  (cell) float64 1.014e+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-1ed6e037-ad34-479e-8c70-0f11896f4cb0' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-1ed6e037-ad34-479e-8c70-0f11896f4cb0' 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'>track</span>: 1</li><li><span class='xr-has-index'>cell</span>: 1</li><li><span class='xr-has-index'>feature</span>: 1014</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-8b1c1979-8a66-455f-80b5-d9608af36f4e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8b1c1979-8a66-455f-80b5-d9608af36f4e' 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'>track</span></div><div class='xr-var-dims'>(track)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0</div><input id='attrs-a4f8a93c-895a-4c6c-9bd7-f0be3ca2f1ab' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a4f8a93c-895a-4c6c-9bd7-f0be3ca2f1ab' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0c706b82-9952-45f9-86fd-cefe0247f5ed' class='xr-var-data-in' type='checkbox'><label for='data-0c706b82-9952-45f9-86fd-cefe0247f5ed' 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.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>cell</span></div><div class='xr-var-dims'>(cell)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>-1</div><input id='attrs-bd8f187b-4952-4d46-a9bb-9581a5db9a10' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-bd8f187b-4952-4d46-a9bb-9581a5db9a10' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a3098f4e-61b7-4fd4-8e53-ef07ff0be3b7' class='xr-var-data-in' type='checkbox'><label for='data-a3098f4e-61b7-4fd4-8e53-ef07ff0be3b7' 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])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>feature</span></div><div class='xr-var-dims'>(feature)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 2 3 4 5 ... 1011 1012 1013 1014</div><input id='attrs-f346ef3b-ee6d-469c-9325-87deabefae5d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f346ef3b-ee6d-469c-9325-87deabefae5d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a7b27348-c2cf-40fc-8460-fd15f55d1135' class='xr-var-data-in' type='checkbox'><label for='data-a7b27348-c2cf-40fc-8460-fd15f55d1135' 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,    2,    3, ..., 1012, 1013, 1014])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7e97e823-4197-4dcf-b329-5c44d36738f1' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7e97e823-4197-4dcf-b329-5c44d36738f1' class='xr-section-summary' >Data variables: <span>(5)</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>cell_parent_track_id</span></div><div class='xr-var-dims'>(cell)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0</div><input id='attrs-ccc7ae7e-e3fd-4787-93be-eaa925675e13' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ccc7ae7e-e3fd-4787-93be-eaa925675e13' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4e0eb555-a1d5-4354-a431-4b1a9171e13d' class='xr-var-data-in' type='checkbox'><label for='data-4e0eb555-a1d5-4354-a431-4b1a9171e13d' 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.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>feature_parent_cell_id</span></div><div class='xr-var-dims'>(feature)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>-1 -1 -1 -1 -1 ... -1 -1 -1 -1 -1</div><input id='attrs-ba85964a-e946-4057-a5c5-73dfa53a4974' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ba85964a-e946-4057-a5c5-73dfa53a4974' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-321a586a-d1b2-4f3b-bd48-b854b66f34a8' class='xr-var-data-in' type='checkbox'><label for='data-321a586a-d1b2-4f3b-bd48-b854b66f34a8' 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, -1, -1, ..., -1, -1, -1])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>feature_parent_track_id</span></div><div class='xr-var-dims'>(feature)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-1.0 -1.0 -1.0 ... -1.0 -1.0 -1.0</div><input id='attrs-719acabf-1243-4ca6-bbe3-2315045d6b4c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-719acabf-1243-4ca6-bbe3-2315045d6b4c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-418b9a22-0c66-42a8-9e99-2438e53bd91f' class='xr-var-data-in' type='checkbox'><label for='data-418b9a22-0c66-42a8-9e99-2438e53bd91f' 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., -1., -1., ..., -1., -1., -1.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>track_child_cell_count</span></div><div class='xr-var-dims'>(track)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.0</div><input id='attrs-eabd25b9-b620-4c34-af52-f7f51b65b569' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-eabd25b9-b620-4c34-af52-f7f51b65b569' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-acc4b180-cd64-45cf-9459-c84a4d936522' class='xr-var-data-in' type='checkbox'><label for='data-acc4b180-cd64-45cf-9459-c84a4d936522' 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.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>cell_child_feature_count</span></div><div class='xr-var-dims'>(cell)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.014e+03</div><input id='attrs-04cca8aa-f5f3-492b-a953-933ca9a1c93a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-04cca8aa-f5f3-492b-a953-933ca9a1c93a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-18d6b361-f540-4b9d-894d-71c80d52cf8a' class='xr-var-data-in' type='checkbox'><label for='data-18d6b361-f540-4b9d-894d-71c80d52cf8a' 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([1014.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-91c649b5-5c2c-4b80-a793-15cc8f02a553' class='xr-section-summary-in' type='checkbox'  ><label for='section-91c649b5-5c2c-4b80-a793-15cc8f02a553' 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>track</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-f29f1c61-4377-443b-99cf-d7542d465114' class='xr-index-data-in' type='checkbox'/><label for='index-f29f1c61-4377-443b-99cf-d7542d465114' 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(Float64Index([0.0], dtype=&#x27;float64&#x27;, name=&#x27;track&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>cell</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-f23fa5c8-4cd9-4651-b2a8-92098febd30d' class='xr-index-data-in' type='checkbox'/><label for='index-f23fa5c8-4cd9-4651-b2a8-92098febd30d' 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(Int64Index([-1], dtype=&#x27;int64&#x27;, name=&#x27;cell&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>feature</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-1d0afd34-bd01-4422-a8a2-6fb023ffb37e' class='xr-index-data-in' type='checkbox'/><label for='index-1d0afd34-bd01-4422-a8a2-6fb023ffb37e' 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(Int64Index([   1,    2,    3,    4,    5,    6,    7,    8,    9,   10,\n",
       "            ...\n",
       "            1005, 1006, 1007, 1008, 1009, 1010, 1011, 1012, 1013, 1014],\n",
       "           dtype=&#x27;int64&#x27;, name=&#x27;feature&#x27;, length=1014))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-80b3f0a7-87be-49e8-95e8-f4212282e868' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-80b3f0a7-87be-49e8-95e8-f4212282e868' 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:                   (track: 1, cell: 1, feature: 1014)\n",
       "Coordinates:\n",
       "  * track                     (track) float64 0.0\n",
       "  * cell                      (cell) int64 -1\n",
       "  * feature                   (feature) int64 1 2 3 4 5 ... 1011 1012 1013 1014\n",
       "Data variables:\n",
       "    cell_parent_track_id      (cell) float64 0.0\n",
       "    feature_parent_cell_id    (feature) int64 -1 -1 -1 -1 -1 ... -1 -1 -1 -1 -1\n",
       "    feature_parent_track_id   (feature) float64 -1.0 -1.0 -1.0 ... -1.0 -1.0\n",
       "    track_child_cell_count    (track) float64 1.0\n",
       "    cell_child_feature_count  (cell) float64 1.014e+03"
      ]
     },
     "execution_count": 79,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "d"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "\n",
    "Track = xr.open_dataset(savedir+\"/Track.nc\")\n",
    "Features = xr.open_dataset(savedir+\"/Features.nc\")\n",
    "refl_mask = xr.open_dataset(savedir+\"/Mask_Segmentation_refl.nc\")\n",
    "\n",
    "# both_ds = xarray.open_dataset(savedir+'/Track_features_merges.nc')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {
    "tags": []
   },
   "outputs": [
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       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:                  (index: 1014)\n",
       "Coordinates:\n",
       "  * index                    (index) int64 0 1 2 3 4 ... 1010 1011 1012 1013\n",
       "Data variables: (12/13)\n",
       "    frame                    (index) int64 ...\n",
       "    idx                      (index) int64 ...\n",
       "    hdim_1                   (index) float64 ...\n",
       "    hdim_2                   (index) float64 ...\n",
       "    num                      (index) int64 ...\n",
       "    threshold_value          (index) int64 ...\n",
       "    ...                       ...\n",
       "    time                     (index) datetime64[ns] ...\n",
       "    timestr                  (index) object ...\n",
       "    projection_y_coordinate  (index) float64 ...\n",
       "    projection_x_coordinate  (index) float64 ...\n",
       "    latitude                 (index) float64 ...\n",
       "    longitude                (index) float64 ...</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-57194e57-85e5-429f-8610-b0e08f325d73' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-57194e57-85e5-429f-8610-b0e08f325d73' 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'>index</span>: 1014</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-e087e097-f6e8-495a-ae50-3f05a5141184' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e087e097-f6e8-495a-ae50-3f05a5141184' class='xr-section-summary' >Coordinates: <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 class='xr-has-index'>index</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 ... 1010 1011 1012 1013</div><input id='attrs-5c14f77a-7f75-4db2-8e82-b08c8df24081' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5c14f77a-7f75-4db2-8e82-b08c8df24081' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e647a738-b93a-4bcd-9013-b18f03ed3229' class='xr-var-data-in' type='checkbox'><label for='data-e647a738-b93a-4bcd-9013-b18f03ed3229' 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,    2, ..., 1011, 1012, 1013])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e6aa2b73-04b5-4b25-a4aa-4a11bd06874d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e6aa2b73-04b5-4b25-a4aa-4a11bd06874d' class='xr-section-summary' >Data variables: <span>(13)</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>frame</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-624f9d59-f74f-48bd-a5b7-c8e7ba0ab89c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-624f9d59-f74f-48bd-a5b7-c8e7ba0ab89c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-615fedca-6495-4528-89ad-da32db091a82' class='xr-var-data-in' type='checkbox'><label for='data-615fedca-6495-4528-89ad-da32db091a82' 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>[1014 values with dtype=int64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>idx</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5e252a89-7a04-4e07-97cb-f6dd630075ae' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5e252a89-7a04-4e07-97cb-f6dd630075ae' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6820865e-cefe-4ec0-9b6d-1158d55be967' class='xr-var-data-in' type='checkbox'><label for='data-6820865e-cefe-4ec0-9b6d-1158d55be967' 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>[1014 values with dtype=int64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>hdim_1</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a4a10898-9a35-44da-88dd-d8d833417b99' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a4a10898-9a35-44da-88dd-d8d833417b99' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8b94155e-c274-4b74-8ab1-b3cc2cc435a6' class='xr-var-data-in' type='checkbox'><label for='data-8b94155e-c274-4b74-8ab1-b3cc2cc435a6' 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>[1014 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>hdim_2</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-86e00956-da1b-4831-a5ec-2db76bd03014' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-86e00956-da1b-4831-a5ec-2db76bd03014' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6974bc79-f253-4ecb-9f27-81feb19b8e3c' class='xr-var-data-in' type='checkbox'><label for='data-6974bc79-f253-4ecb-9f27-81feb19b8e3c' 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>[1014 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>num</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-bd03ec86-7413-4865-b74a-14bff01b8c42' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-bd03ec86-7413-4865-b74a-14bff01b8c42' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-20cef06f-f40a-4544-ab44-9a523b7a06b9' class='xr-var-data-in' type='checkbox'><label for='data-20cef06f-f40a-4544-ab44-9a523b7a06b9' 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>[1014 values with dtype=int64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>threshold_value</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-949a9365-d068-48b4-a2bf-5f6fdcedc8a2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-949a9365-d068-48b4-a2bf-5f6fdcedc8a2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4525bc16-cf7f-4dbf-b8c9-aa12c973825b' class='xr-var-data-in' type='checkbox'><label for='data-4525bc16-cf7f-4dbf-b8c9-aa12c973825b' 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>[1014 values with dtype=int64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>feature</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2f1c157b-c01f-4369-9714-03fec1964eca' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2f1c157b-c01f-4369-9714-03fec1964eca' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fc4c14db-8d02-4abf-a896-d9d56a6c38c5' class='xr-var-data-in' type='checkbox'><label for='data-fc4c14db-8d02-4abf-a896-d9d56a6c38c5' 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>[1014 values with dtype=int64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-528f45db-48b0-4a49-abe9-92a1318b9be0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-528f45db-48b0-4a49-abe9-92a1318b9be0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7f340fc5-4a99-4f79-ab96-647231981b15' class='xr-var-data-in' type='checkbox'><label for='data-7f340fc5-4a99-4f79-ab96-647231981b15' 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>[1014 values with dtype=datetime64[ns]]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>timestr</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-bb56e837-0046-4d88-8d91-57787b419f43' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-bb56e837-0046-4d88-8d91-57787b419f43' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c47d9163-718f-4630-a25b-25db29c3e7b2' class='xr-var-data-in' type='checkbox'><label for='data-c47d9163-718f-4630-a25b-25db29c3e7b2' 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>[1014 values with dtype=object]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>projection_y_coordinate</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-654da7cf-231f-4556-b5f1-0b281ef1cb57' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-654da7cf-231f-4556-b5f1-0b281ef1cb57' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c19afd4a-8660-41de-bc10-88f60cf961b4' class='xr-var-data-in' type='checkbox'><label for='data-c19afd4a-8660-41de-bc10-88f60cf961b4' 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>[1014 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>projection_x_coordinate</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7ab61907-af16-41d6-b09f-ce746e7ebf24' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7ab61907-af16-41d6-b09f-ce746e7ebf24' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c079530b-cbef-4e30-9113-fc1f488a8124' class='xr-var-data-in' type='checkbox'><label for='data-c079530b-cbef-4e30-9113-fc1f488a8124' 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>[1014 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6194599b-5c9a-4634-87b0-5f1e859dd5dc' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6194599b-5c9a-4634-87b0-5f1e859dd5dc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1fa5dd68-1e9f-4db3-8da1-1d68ad1d1981' class='xr-var-data-in' type='checkbox'><label for='data-1fa5dd68-1e9f-4db3-8da1-1d68ad1d1981' 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>[1014 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-171959c8-0713-4615-a36b-1c3134ec3f94' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-171959c8-0713-4615-a36b-1c3134ec3f94' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-244adc98-dfbd-4a13-8287-27ba75890ea9' class='xr-var-data-in' type='checkbox'><label for='data-244adc98-dfbd-4a13-8287-27ba75890ea9' 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>[1014 values with dtype=float64]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-14f78966-b60e-4da0-a6e8-1439397afa74' class='xr-section-summary-in' type='checkbox'  ><label for='section-14f78966-b60e-4da0-a6e8-1439397afa74' class='xr-section-summary' >Indexes: <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-index-name'><div>index</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-6c7284f1-09c0-4b58-8e9b-56cefe7250e6' class='xr-index-data-in' type='checkbox'/><label for='index-6c7284f1-09c0-4b58-8e9b-56cefe7250e6' 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(Int64Index([   0,    1,    2,    3,    4,    5,    6,    7,    8,    9,\n",
       "            ...\n",
       "            1004, 1005, 1006, 1007, 1008, 1009, 1010, 1011, 1012, 1013],\n",
       "           dtype=&#x27;int64&#x27;, name=&#x27;index&#x27;, length=1014))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-50d68805-3505-498b-83d2-ba1e143822bd' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-50d68805-3505-498b-83d2-ba1e143822bd' 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:                  (index: 1014)\n",
       "Coordinates:\n",
       "  * index                    (index) int64 0 1 2 3 4 ... 1010 1011 1012 1013\n",
       "Data variables: (12/13)\n",
       "    frame                    (index) int64 ...\n",
       "    idx                      (index) int64 ...\n",
       "    hdim_1                   (index) float64 ...\n",
       "    hdim_2                   (index) float64 ...\n",
       "    num                      (index) int64 ...\n",
       "    threshold_value          (index) int64 ...\n",
       "    ...                       ...\n",
       "    time                     (index) datetime64[ns] ...\n",
       "    timestr                  (index) object ...\n",
       "    projection_y_coordinate  (index) float64 ...\n",
       "    projection_x_coordinate  (index) float64 ...\n",
       "    latitude                 (index) float64 ...\n",
       "    longitude                (index) float64 ..."
      ]
     },
     "execution_count": 81,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Features"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x1000 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#\n",
    "frame = 10\n",
    "isolated_min = 0.5\n",
    "show_tracks = True\n",
    "ref_levels = [5,10,15,20,25,30,35,40,45,50,55,60,65,70,75]\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(10,10))\n",
    "\n",
    "refl = maxrefl[frame,:,:] \n",
    "fig.suptitle(str(maxrefl['time'][frame].data)[:-10])\n",
    "y_mesh,x_mesh = np.meshgrid(maxrefl['x'],maxrefl['y'])\n",
    "    \n",
    "refplt = ax.contourf(y_mesh,x_mesh, refl, extend = 'max',levels = ref_levels,cmap='pyart_LangRainbow12',origin = 'lower', vmin=-24, vmax=72)#,extent = [0,-10000,-20000,-10000])\n",
    "fig.colorbar(refplt,fraction=0.046, pad=0.04)\n",
    "i = np.where(Mask['segmentation_mask'][frame,:,:] > 0)\n",
    "    \n",
    "\n",
    "y, x = y_mesh[i[0],i[1]],x_mesh[i[0],i[1]]\n",
    "imcell2 = ax.scatter(y,x,s = 0.1,c = 'gray', marker = '.',alpha = 0.75)\n",
    "    \n",
    "\n",
    "\n",
    "for i in Track['cell']:\n",
    "    if i < 0:\n",
    "        continue\n",
    "    #print(i)\n",
    "    if math.isfinite(i):\n",
    "        cell_i = np.where(d['feature_parent_cell_id'] == i)\n",
    "        if (np.nanmax(Features['frame'][cell_i]) >= frame) and (np.nanmin(Features['frame'][cell_i]) <= frame):\n",
    "            ax.plot(Track['projection_x_coordinate'][cell_i], Track['projection_y_coordinate'][cell_i], '-.',color='r')\n",
    "            ax.text(Track['projection_x_coordinate'][cell_i][-1],Track['projection_y_coordinate'][cell_i][-1], f'{int(i)}', fontsize = 'small',rotation = 'vertical')\n",
    "        else:\n",
    "            continue\n",
    " \n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "#     fig.savefig(plot_dir+'/'+'20260331_track_'+str(frame)+'.png')\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1000x1000 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#\n",
    "frame = 10\n",
    "isolated_min = 0.5\n",
    "show_tracks = True\n",
    "ref_levels = [5,10,15,20,25,30,35,40,45,50,55,60,65,70,75]\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(10,10))\n",
    "\n",
    "refl = maxrefl[frame,:,:] \n",
    "fig.suptitle(str(maxrefl['time'][frame].data)[:-10])\n",
    "y_mesh,x_mesh = np.meshgrid(maxrefl['x'],maxrefl['y'])\n",
    "    \n",
    "refplt = ax.contourf(y_mesh,x_mesh, refl, extend = 'max',levels = ref_levels,cmap='pyart_LangRainbow12',origin = 'lower', vmin=-24, vmax=72)#,extent = [0,-10000,-20000,-10000])\n",
    "fig.colorbar(refplt,fraction=0.046, pad=0.04)\n",
    "i = np.where(Mask['segmentation_mask'][frame,:,:] > 0)\n",
    "    \n",
    "\n",
    "y, x = y_mesh[i[0],i[1]],x_mesh[i[0],i[1]]\n",
    "imcell2 = ax.scatter(y,x,s = 0.1,c = 'gray', marker = '.',alpha = 0.75)\n",
    "    \n",
    "\n",
    "\n",
    "\n",
    "for i in d['track']:\n",
    "    track_i = np.where(d['cell_parent_track_id'] == i.values)\n",
    "    for cell in d['cell'][track_i]:\n",
    "        if cell < 0:\n",
    "            continue\n",
    "\n",
    "        feature_id = np.where(d['feature_parent_cell_id'] == cell)\n",
    "        if (frame <= np.nanmax(Features['frame'][feature_id])) and (frame >= np.nanmin(Features['frame'][feature_id])):\n",
    "            ax.plot(Track['projection_x_coordinate'][feature_id], Track['projection_y_coordinate'][feature_id], '-.',color='b',alpha = 0.5)\n",
    "            ax.text(Track['projection_x_coordinate'][feature_id][-1],Track['projection_y_coordinate'][feature_id][-1], f'{int(i)}', fontsize = 'small',rotation = 'vertical')\n",
    "        else:\n",
    "            continue\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "#     fig.savefig(plot_dir+'/'+'20260331_track_'+str(frame)+'.png')\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Multiple Thresholds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "feature_detection_params['threshold'] = [30, 40, 50]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;reflectivity&#x27; (time: 25, z: 30, y: 600, x: 600)&gt;\n",
       "dask.array&lt;concatenate, shape=(25, 30, 600, 600), dtype=float32, chunksize=(1, 30, 600, 600), chunktype=numpy.ndarray&gt;\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 2008-04-11T18:12:23 ... 2008-04-11T20:20:58\n",
       "  * z        (z) float64 0.0 517.2 1.034e+03 ... 1.397e+04 1.448e+04 1.5e+04\n",
       "    lat      (y, x) float64 dask.array&lt;chunksize=(600, 600), meta=np.ndarray&gt;\n",
       "    lon      (y, x) float64 dask.array&lt;chunksize=(600, 600), meta=np.ndarray&gt;\n",
       "  * y        (y) float64 -1.5e+05 -1.495e+05 -1.49e+05 ... 1.495e+05 1.5e+05\n",
       "  * x        (x) float64 -1.5e+05 -1.495e+05 -1.49e+05 ... 1.495e+05 1.5e+05\n",
       "Attributes:\n",
       "    units:          dBZ\n",
       "    standard_name:  equivalent_reflectivity_factor\n",
       "    long_name:      Reflectivity\n",
       "    coordinates:    elevation azimuth range</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'reflectivity'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 25</li><li><span class='xr-has-index'>z</span>: 30</li><li><span class='xr-has-index'>y</span>: 600</li><li><span class='xr-has-index'>x</span>: 600</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-14ab6623-8dad-4294-8529-77a8010bc201' class='xr-array-in' type='checkbox' checked><label for='section-14ab6623-8dad-4294-8529-77a8010bc201' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(1, 30, 600, 600), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>\n",
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       "                <tbody>\n",
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       "                        <td> 1.01 GiB </td>\n",
       "                        <td> 41.20 MiB </td>\n",
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       "</table></div></div></li><li class='xr-section-item'><input id='section-7a31e812-9d4f-4278-b2b7-8b73ef006107' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7a31e812-9d4f-4278-b2b7-8b73ef006107' class='xr-section-summary' >Coordinates: <span>(6)</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'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2008-04-11T18:12:23 ... 2008-04-...</div><input id='attrs-a237094a-2632-4ff5-9fc5-e58f71bee8ed' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a237094a-2632-4ff5-9fc5-e58f71bee8ed' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4bb2c5cb-4c0e-497a-b470-f4ff0ee7c101' class='xr-var-data-in' type='checkbox'><label for='data-4bb2c5cb-4c0e-497a-b470-f4ff0ee7c101' 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;2008-04-11T18:12:23.000000000&#x27;, &#x27;2008-04-11T18:17:23.000000000&#x27;,\n",
       "       &#x27;2008-04-11T18:22:42.000000000&#x27;, &#x27;2008-04-11T18:27:41.000000000&#x27;,\n",
       "       &#x27;2008-04-11T18:33:08.000000000&#x27;, &#x27;2008-04-11T18:38:35.000000000&#x27;,\n",
       "       &#x27;2008-04-11T18:44:18.000000000&#x27;, &#x27;2008-04-11T18:49:44.000000000&#x27;,\n",
       "       &#x27;2008-04-11T18:55:11.000000000&#x27;, &#x27;2008-04-11T19:00:23.000000000&#x27;,\n",
       "       &#x27;2008-04-11T19:05:35.000000000&#x27;, &#x27;2008-04-11T19:10:47.000000000&#x27;,\n",
       "       &#x27;2008-04-11T19:15:59.000000000&#x27;, &#x27;2008-04-11T19:21:11.000000000&#x27;,\n",
       "       &#x27;2008-04-11T19:26:22.000000000&#x27;, &#x27;2008-04-11T19:31:35.000000000&#x27;,\n",
       "       &#x27;2008-04-11T19:36:46.000000000&#x27;, &#x27;2008-04-11T19:41:59.000000000&#x27;,\n",
       "       &#x27;2008-04-11T19:47:10.000000000&#x27;, &#x27;2008-04-11T19:52:22.000000000&#x27;,\n",
       "       &#x27;2008-04-11T19:57:34.000000000&#x27;, &#x27;2008-04-11T20:04:21.000000000&#x27;,\n",
       "       &#x27;2008-04-11T20:09:49.000000000&#x27;, &#x27;2008-04-11T20:15:30.000000000&#x27;,\n",
       "       &#x27;2008-04-11T20:20:58.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>z</span></div><div class='xr-var-dims'>(z)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 517.2 ... 1.448e+04 1.5e+04</div><input id='attrs-7e97a186-5770-4ad7-8435-b4f98aaa383c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7e97a186-5770-4ad7-8435-b4f98aaa383c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-874932ff-dc54-4c75-92d3-26f03a0c2732' class='xr-var-data-in' type='checkbox'><label for='data-874932ff-dc54-4c75-92d3-26f03a0c2732' 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'><dt><span>standard_name :</span></dt><dd>altitude</dd><dt><span>long_name :</span></dt><dd>Z distance on the projection plane from the origin</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>positive :</span></dt><dd>up</dd></dl></div><div class='xr-var-data'><pre>array([    0.      ,   517.241379,  1034.482759,  1551.724138,  2068.965517,\n",
       "        2586.206897,  3103.448276,  3620.689655,  4137.931034,  4655.172414,\n",
       "        5172.413793,  5689.655172,  6206.896552,  6724.137931,  7241.37931 ,\n",
       "        7758.62069 ,  8275.862069,  8793.103448,  9310.344828,  9827.586207,\n",
       "       10344.827586, 10862.068966, 11379.310345, 11896.551724, 12413.793103,\n",
       "       12931.034483, 13448.275862, 13965.517241, 14482.758621, 15000.      ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(600, 600), meta=np.ndarray&gt;</div><input id='attrs-1bb30bbb-318d-4006-ab6e-f385ff1543ba' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1bb30bbb-318d-4006-ab6e-f385ff1543ba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3b74b192-ef9c-4d9f-8fc3-5a79d00d943f' class='xr-var-data-in' type='checkbox'><label for='data-3b74b192-ef9c-4d9f-8fc3-5a79d00d943f' 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'><dt><span>long_name :</span></dt><dd>latitude of grid cell center</dd><dt><span>units :</span></dt><dd>degree_N</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.75 MiB </td>\n",
       "                        <td> 2.75 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (600, 600) </td>\n",
       "                        <td> (600, 600) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 120 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"0\" y1=\"120\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"0.0,0.0 120.0,0.0 120.0,120.0 0.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"60.000000\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >600</text>\n",
       "  <text x=\"140.000000\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,60.000000)\">600</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(600, 600), meta=np.ndarray&gt;</div><input id='attrs-badfbe90-fc80-4d6d-9b1c-ef5682e2dfab' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-badfbe90-fc80-4d6d-9b1c-ef5682e2dfab' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ff81ed2d-5c15-4ebd-a842-b2ef5f275d8f' class='xr-var-data-in' type='checkbox'><label for='data-ff81ed2d-5c15-4ebd-a842-b2ef5f275d8f' 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'><dt><span>long_name :</span></dt><dd>longitude of grid cell center</dd><dt><span>units :</span></dt><dd>degree_E</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.75 MiB </td>\n",
       "                        <td> 2.75 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (600, 600) </td>\n",
       "                        <td> (600, 600) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 120 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"0\" y1=\"120\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"0.0,0.0 120.0,0.0 120.0,120.0 0.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"60.000000\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >600</text>\n",
       "  <text x=\"140.000000\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,60.000000)\">600</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-1.5e+05 -1.495e+05 ... 1.5e+05</div><input id='attrs-d99f2287-26dd-4b2d-a043-48dc616d4611' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d99f2287-26dd-4b2d-a043-48dc616d4611' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f62c3e0a-3e24-49bb-94bf-addd734a5ec6' class='xr-var-data-in' type='checkbox'><label for='data-f62c3e0a-3e24-49bb-94bf-addd734a5ec6' 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'><dt><span>standard_name :</span></dt><dd>projection_y_coordinate</dd><dt><span>long_name :</span></dt><dd>Y distance on the projection plane from the origin</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array([-150000.      , -149499.165275, -148998.330551, ...,  148998.330551,\n",
       "        149499.165275,  150000.      ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-1.5e+05 -1.495e+05 ... 1.5e+05</div><input id='attrs-723365aa-0c40-494b-a147-57f430a86511' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-723365aa-0c40-494b-a147-57f430a86511' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-370dca7a-20a6-459f-b276-6aed0fa6e815' class='xr-var-data-in' type='checkbox'><label for='data-370dca7a-20a6-459f-b276-6aed0fa6e815' 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'><dt><span>standard_name :</span></dt><dd>projection_x_coordinate</dd><dt><span>long_name :</span></dt><dd>X distance on the projection plane from the origin</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array([-150000.      , -149499.165275, -148998.330551, ...,  148998.330551,\n",
       "        149499.165275,  150000.      ])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9c59e3c5-30b9-4f61-b140-46d38915ef1e' class='xr-section-summary-in' type='checkbox'  ><label for='section-9c59e3c5-30b9-4f61-b140-46d38915ef1e' 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-bc6b0365-9b11-41cd-92cf-c613b28ba0a5' class='xr-index-data-in' type='checkbox'/><label for='index-bc6b0365-9b11-41cd-92cf-c613b28ba0a5' 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(DatetimeIndex([&#x27;2008-04-11 18:12:23&#x27;, &#x27;2008-04-11 18:17:23&#x27;,\n",
       "               &#x27;2008-04-11 18:22:42&#x27;, &#x27;2008-04-11 18:27:41&#x27;,\n",
       "               &#x27;2008-04-11 18:33:08&#x27;, &#x27;2008-04-11 18:38:35&#x27;,\n",
       "               &#x27;2008-04-11 18:44:18&#x27;, &#x27;2008-04-11 18:49:44&#x27;,\n",
       "               &#x27;2008-04-11 18:55:11&#x27;, &#x27;2008-04-11 19:00:23&#x27;,\n",
       "               &#x27;2008-04-11 19:05:35&#x27;, &#x27;2008-04-11 19:10:47&#x27;,\n",
       "               &#x27;2008-04-11 19:15:59&#x27;, &#x27;2008-04-11 19:21:11&#x27;,\n",
       "               &#x27;2008-04-11 19:26:22&#x27;, &#x27;2008-04-11 19:31:35&#x27;,\n",
       "               &#x27;2008-04-11 19:36:46&#x27;, &#x27;2008-04-11 19:41:59&#x27;,\n",
       "               &#x27;2008-04-11 19:47:10&#x27;, &#x27;2008-04-11 19:52:22&#x27;,\n",
       "               &#x27;2008-04-11 19:57:34&#x27;, &#x27;2008-04-11 20:04:21&#x27;,\n",
       "               &#x27;2008-04-11 20:09:49&#x27;, &#x27;2008-04-11 20:15:30&#x27;,\n",
       "               &#x27;2008-04-11 20:20:58&#x27;],\n",
       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>z</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-45833ef9-34cc-454f-bfba-4d8b8993da8c' class='xr-index-data-in' type='checkbox'/><label for='index-45833ef9-34cc-454f-bfba-4d8b8993da8c' 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(Float64Index([               0.0,  517.2413793103449, 1034.4827586206898,\n",
       "              1551.7241379310346, 2068.9655172413795, 2586.2068965517246,\n",
       "              3103.4482758620693,  3620.689655172414,  4137.931034482759,\n",
       "               4655.172413793104,  5172.413793103449, 5689.6551724137935,\n",
       "               6206.896551724139,  6724.137931034484,  7241.379310344828,\n",
       "               7758.620689655173,  8275.862068965518,  8793.103448275862,\n",
       "               9310.344827586208,  9827.586206896553, 10344.827586206899,\n",
       "              10862.068965517243, 11379.310344827587, 11896.551724137933,\n",
       "              12413.793103448277, 12931.034482758621, 13448.275862068967,\n",
       "              13965.517241379312, 14482.758620689656,            15000.0],\n",
       "             dtype=&#x27;float64&#x27;, name=&#x27;z&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-467214bf-b8e5-4192-8291-a52a89e5891b' class='xr-index-data-in' type='checkbox'/><label for='index-467214bf-b8e5-4192-8291-a52a89e5891b' 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(Float64Index([          -150000.0,  -149499.1652754591,  -148998.3305509182,\n",
       "               -148497.4958263773,  -147996.6611018364, -147495.82637729548,\n",
       "               -146994.9916527546,  -146494.1569282137, -145993.32220367278,\n",
       "              -145492.48747913187,\n",
       "              ...\n",
       "                145492.4874791319,  145993.32220367278,  146494.15692821366,\n",
       "                146994.9916527546,  147495.82637729548,  147996.66110183642,\n",
       "                148497.4958263773,  148998.33055091818,  149499.16527545912,\n",
       "                         150000.0],\n",
       "             dtype=&#x27;float64&#x27;, name=&#x27;y&#x27;, length=600))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-c2a2cf75-c886-47f6-a728-e6edc918a7b5' class='xr-index-data-in' type='checkbox'/><label for='index-c2a2cf75-c886-47f6-a728-e6edc918a7b5' 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(Float64Index([          -150000.0,  -149499.1652754591,  -148998.3305509182,\n",
       "               -148497.4958263773,  -147996.6611018364, -147495.82637729548,\n",
       "               -146994.9916527546,  -146494.1569282137, -145993.32220367278,\n",
       "              -145492.48747913187,\n",
       "              ...\n",
       "                145492.4874791319,  145993.32220367278,  146494.15692821366,\n",
       "                146994.9916527546,  147495.82637729548,  147996.66110183642,\n",
       "                148497.4958263773,  148998.33055091818,  149499.16527545912,\n",
       "                         150000.0],\n",
       "             dtype=&#x27;float64&#x27;, name=&#x27;x&#x27;, length=600))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0a2b9fa2-ce7e-4d5f-8010-cd7660bb8b30' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0a2b9fa2-ce7e-4d5f-8010-cd7660bb8b30' class='xr-section-summary' >Attributes: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>dBZ</dd><dt><span>standard_name :</span></dt><dd>equivalent_reflectivity_factor</dd><dt><span>long_name :</span></dt><dd>Reflectivity</dd><dt><span>coordinates :</span></dt><dd>elevation azimuth range</dd></dl></div></li></ul></div></div>"
      ],
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       "<xarray.DataArray 'reflectivity' (time: 25, z: 30, y: 600, x: 600)>\n",
       "dask.array<concatenate, shape=(25, 30, 600, 600), dtype=float32, chunksize=(1, 30, 600, 600), chunktype=numpy.ndarray>\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 2008-04-11T18:12:23 ... 2008-04-11T20:20:58\n",
       "  * z        (z) float64 0.0 517.2 1.034e+03 ... 1.397e+04 1.448e+04 1.5e+04\n",
       "    lat      (y, x) float64 dask.array<chunksize=(600, 600), meta=np.ndarray>\n",
       "    lon      (y, x) float64 dask.array<chunksize=(600, 600), meta=np.ndarray>\n",
       "  * y        (y) float64 -1.5e+05 -1.495e+05 -1.49e+05 ... 1.495e+05 1.5e+05\n",
       "  * x        (x) float64 -1.5e+05 -1.495e+05 -1.49e+05 ... 1.495e+05 1.5e+05\n",
       "Attributes:\n",
       "    units:          dBZ\n",
       "    standard_name:  equivalent_reflectivity_factor\n",
       "    long_name:      Reflectivity\n",
       "    coordinates:    elevation azimuth range"
      ]
     },
     "execution_count": 85,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "xr_grid_full"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "starting feature detection based on multiple thresholds\n",
      "feature detection done\n"
     ]
    }
   ],
   "source": [
    "#FIND OUR FEATURES!\n",
    "\n",
    "print('starting feature detection based on multiple thresholds')\n",
    "Features_df = tobac.feature_detection_multithreshold(maxrefl_iris, dxy, **feature_detection_params)\n",
    "\n",
    "Features=Features_df.to_xarray()\n",
    "print('feature detection done')\n",
    "\n",
    "# Features.to_netcdf(os.path.join(savedir,'Features.nc'))\n",
    "# print('features saved')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
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    "tags": []
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       "\n",
       "[1499 rows x 13 columns]"
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     "execution_count": 87,
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       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-index-preview {\n",
       "  grid-column: 2 / 5;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data,\n",
       ".xr-index-data-in:checked ~ .xr-index-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:                  (index: 1499)\n",
       "Coordinates:\n",
       "  * index                    (index) int64 0 1 2 3 4 ... 1495 1496 1497 1498\n",
       "Data variables: (12/13)\n",
       "    frame                    (index) int64 0 0 0 0 0 0 0 ... 24 24 24 24 24 24\n",
       "    idx                      (index) int64 3 4 6 8 9 12 ... 121 122 124 125 126\n",
       "    hdim_1                   (index) float64 232.7 256.7 271.0 ... 303.1 333.3\n",
       "    hdim_2                   (index) float64 187.5 59.12 227.8 ... 488.0 386.0\n",
       "    num                      (index) int64 75 5 7 5 111 17 ... 30 88 10 88 71 21\n",
       "    threshold_value          (index) int64 30 30 30 30 30 30 ... 50 50 50 50 50\n",
       "    ...                       ...\n",
       "    time                     (index) object 2008-04-11 18:12:23 ... 2008-04-1...\n",
       "    timestr                  (index) object &#x27;2008-04-11 18:12:23&#x27; ... &#x27;2008-0...\n",
       "    projection_y_coordinate  (index) float64 -3.348e+04 -2.145e+04 ... 1.695e+04\n",
       "    projection_x_coordinate  (index) float64 -5.611e+04 -1.204e+05 ... 4.331e+04\n",
       "    latitude                 (index) float64 34.34 34.45 34.52 ... 34.66 34.8\n",
       "    longitude                (index) float64 -87.38 -88.08 ... -85.74 -86.3</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-5b70fa32-d548-46cb-b021-56fa12331550' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-5b70fa32-d548-46cb-b021-56fa12331550' 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'>index</span>: 1499</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-b3d54e11-b9a2-4b84-895f-6a2e1f0f0f46' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b3d54e11-b9a2-4b84-895f-6a2e1f0f0f46' class='xr-section-summary' >Coordinates: <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 class='xr-has-index'>index</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 ... 1495 1496 1497 1498</div><input id='attrs-76424dd8-991d-43fa-98eb-cf9f050e6a9e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-76424dd8-991d-43fa-98eb-cf9f050e6a9e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-696d5dec-7cdb-4420-a52e-44142acc14c8' class='xr-var-data-in' type='checkbox'><label for='data-696d5dec-7cdb-4420-a52e-44142acc14c8' 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,    2, ..., 1496, 1497, 1498])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ccca0f72-781f-46fb-abc4-922e5f0133e5' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ccca0f72-781f-46fb-abc4-922e5f0133e5' class='xr-section-summary' >Data variables: <span>(13)</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>frame</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 0 0 0 0 0 0 ... 24 24 24 24 24 24</div><input id='attrs-11d165c2-08d4-4c5d-b0ba-810c9308ec59' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-11d165c2-08d4-4c5d-b0ba-810c9308ec59' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d1a4cdf5-cdf0-4d80-a8b2-434913fe3d71' class='xr-var-data-in' type='checkbox'><label for='data-d1a4cdf5-cdf0-4d80-a8b2-434913fe3d71' 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,  0, ..., 24, 24, 24])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>idx</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>3 4 6 8 9 ... 121 122 124 125 126</div><input id='attrs-23aff5a0-dcee-4dda-8ec8-26d96ac1e229' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-23aff5a0-dcee-4dda-8ec8-26d96ac1e229' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2465e578-fb80-42c2-ace5-34a84b272ae5' class='xr-var-data-in' type='checkbox'><label for='data-2465e578-fb80-42c2-ace5-34a84b272ae5' 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([  3,   4,   6, ..., 124, 125, 126])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>hdim_1</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>232.7 256.7 271.0 ... 303.1 333.3</div><input id='attrs-e31c6b98-661a-4a17-820a-244d58ee0b0e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e31c6b98-661a-4a17-820a-244d58ee0b0e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a14b4f3a-dae6-4f94-8d0c-9f166b4841f9' class='xr-var-data-in' type='checkbox'><label for='data-a14b4f3a-dae6-4f94-8d0c-9f166b4841f9' 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([232.65435517, 256.67912935, 271.        , ..., 306.31998979,\n",
       "       303.06487437, 333.33498034])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>hdim_2</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>187.5 59.12 227.8 ... 488.0 386.0</div><input id='attrs-1739257c-983e-440d-8be2-075cab08f014' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1739257c-983e-440d-8be2-075cab08f014' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6f5aee38-3182-4f27-909a-fb13c967b4f1' class='xr-var-data-in' type='checkbox'><label for='data-6f5aee38-3182-4f27-909a-fb13c967b4f1' 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([187.47522731,  59.12016048, 227.81785163, ..., 384.75120982,\n",
       "       488.02890335, 385.97782823])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>num</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>75 5 7 5 111 17 ... 88 10 88 71 21</div><input id='attrs-6ba23ca3-63c9-462e-a466-a7b9a73118e1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6ba23ca3-63c9-462e-a466-a7b9a73118e1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-44ba33fb-5f7c-412f-936b-81708bdb0264' class='xr-var-data-in' type='checkbox'><label for='data-44ba33fb-5f7c-412f-936b-81708bdb0264' 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([75,  5,  7, ..., 88, 71, 21])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>threshold_value</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>30 30 30 30 30 ... 50 50 50 50 50</div><input id='attrs-15229bfd-3dc9-414c-94de-6a6178857b66' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-15229bfd-3dc9-414c-94de-6a6178857b66' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-67e240c1-c7cd-4389-a97f-5f53257c8780' class='xr-var-data-in' type='checkbox'><label for='data-67e240c1-c7cd-4389-a97f-5f53257c8780' 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([30, 30, 30, ..., 50, 50, 50])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>feature</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 2 3 4 5 ... 1496 1497 1498 1499</div><input id='attrs-f51c3c8c-1ee5-4152-a5d6-2b91512f9fa3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f51c3c8c-1ee5-4152-a5d6-2b91512f9fa3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0d6cbe3a-78d9-4feb-a06f-f2ccf8785b07' class='xr-var-data-in' type='checkbox'><label for='data-0d6cbe3a-78d9-4feb-a06f-f2ccf8785b07' 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,    2,    3, ..., 1497, 1498, 1499])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>2008-04-11 18:12:23 ... 2008-04-...</div><input id='attrs-facc3e5a-db94-4166-b13f-1e01659d2165' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-facc3e5a-db94-4166-b13f-1e01659d2165' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7b7ffa5f-4848-4e70-9f3c-b536ce3c00e9' class='xr-var-data-in' type='checkbox'><label for='data-7b7ffa5f-4848-4e70-9f3c-b536ce3c00e9' 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([cftime.DatetimeGregorian(2008, 4, 11, 18, 12, 23, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(2008, 4, 11, 18, 12, 23, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(2008, 4, 11, 18, 12, 23, 0, has_year_zero=False),\n",
       "       ...,\n",
       "       cftime.DatetimeGregorian(2008, 4, 11, 20, 20, 58, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(2008, 4, 11, 20, 20, 58, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(2008, 4, 11, 20, 20, 58, 0, has_year_zero=False)],\n",
       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>timestr</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;2008-04-11 18:12:23&#x27; ... &#x27;2008-...</div><input id='attrs-598062e9-e69b-4bae-8abf-09e42656fc14' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-598062e9-e69b-4bae-8abf-09e42656fc14' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-43a2dce2-910b-41a2-9bc5-eba8a6065c07' class='xr-var-data-in' type='checkbox'><label for='data-43a2dce2-910b-41a2-9bc5-eba8a6065c07' 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;2008-04-11 18:12:23&#x27;, &#x27;2008-04-11 18:12:23&#x27;,\n",
       "       &#x27;2008-04-11 18:12:23&#x27;, ..., &#x27;2008-04-11 20:20:58&#x27;,\n",
       "       &#x27;2008-04-11 20:20:58&#x27;, &#x27;2008-04-11 20:20:58&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>projection_y_coordinate</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-3.348e+04 -2.145e+04 ... 1.695e+04</div><input id='attrs-68caa6e6-a76c-4da8-ab95-7b596cf8909c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-68caa6e6-a76c-4da8-ab95-7b596cf8909c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1f8fb637-3b06-4a12-8b84-a1bb869a0a22' class='xr-var-data-in' type='checkbox'><label for='data-1f8fb637-3b06-4a12-8b84-a1bb869a0a22' 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([-33478.62011565, -21446.17895701, -14273.78964942, ...,\n",
       "         3415.6877058 ,   1785.41287099,  16945.73305692])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>projection_x_coordinate</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-5.611e+04 -1.204e+05 ... 4.331e+04</div><input id='attrs-deb36970-8d97-4b76-be55-2cd38d39d31e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-deb36970-8d97-4b76-be55-2cd38d39d31e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f97b69cf-b7f1-4365-a106-f03c32a51d72' class='xr-var-data-in' type='checkbox'><label for='data-f97b69cf-b7f1-4365-a106-f03c32a51d72' 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([ -56105.89617347, -120390.57070987,  -35900.90903251, ...,\n",
       "         42696.76618874,   94421.8213763 ,   43311.0992813 ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>34.34 34.45 34.52 ... 34.66 34.8</div><input id='attrs-cb4273d6-cc10-40c5-a54b-7d8278c42476' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-cb4273d6-cc10-40c5-a54b-7d8278c42476' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-175c0cbf-bf0d-4e17-a1a1-056f4ac4803f' class='xr-var-data-in' type='checkbox'><label for='data-175c0cbf-bf0d-4e17-a1a1-056f4ac4803f' 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([34.34359344, 34.4462889 , 34.51720563, ..., 34.67602827,\n",
       "       34.65790694, 34.7976789 ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>(index)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-87.38 -88.08 ... -85.74 -86.3</div><input id='attrs-1b1dc5ad-3ed7-4203-93e5-fd4a416b408d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1b1dc5ad-3ed7-4203-93e5-fd4a416b408d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6b684cdf-6a27-47e9-b82d-9cff5ac87064' class='xr-var-data-in' type='checkbox'><label for='data-6b684cdf-6a27-47e9-b82d-9cff5ac87064' 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([-87.3826083 , -88.08444274, -87.16334768, ..., -86.30458467,\n",
       "       -85.73915096, -86.29716924])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d91593a9-0e54-45e4-a925-3441ac4357a6' class='xr-section-summary-in' type='checkbox'  ><label for='section-d91593a9-0e54-45e4-a925-3441ac4357a6' class='xr-section-summary' >Indexes: <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-index-name'><div>index</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-cd33f478-f56f-47e8-ba5f-8e062381d979' class='xr-index-data-in' type='checkbox'/><label for='index-cd33f478-f56f-47e8-ba5f-8e062381d979' 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(RangeIndex(start=0, stop=1499, step=1, name=&#x27;index&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-24bfa735-7f99-40c9-9b55-5ab3d0ba6eac' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-24bfa735-7f99-40c9-9b55-5ab3d0ba6eac' 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:                  (index: 1499)\n",
       "Coordinates:\n",
       "  * index                    (index) int64 0 1 2 3 4 ... 1495 1496 1497 1498\n",
       "Data variables: (12/13)\n",
       "    frame                    (index) int64 0 0 0 0 0 0 0 ... 24 24 24 24 24 24\n",
       "    idx                      (index) int64 3 4 6 8 9 12 ... 121 122 124 125 126\n",
       "    hdim_1                   (index) float64 232.7 256.7 271.0 ... 303.1 333.3\n",
       "    hdim_2                   (index) float64 187.5 59.12 227.8 ... 488.0 386.0\n",
       "    num                      (index) int64 75 5 7 5 111 17 ... 30 88 10 88 71 21\n",
       "    threshold_value          (index) int64 30 30 30 30 30 30 ... 50 50 50 50 50\n",
       "    ...                       ...\n",
       "    time                     (index) object 2008-04-11 18:12:23 ... 2008-04-1...\n",
       "    timestr                  (index) object '2008-04-11 18:12:23' ... '2008-0...\n",
       "    projection_y_coordinate  (index) float64 -3.348e+04 -2.145e+04 ... 1.695e+04\n",
       "    projection_x_coordinate  (index) float64 -5.611e+04 -1.204e+05 ... 4.331e+04\n",
       "    latitude                 (index) float64 34.34 34.45 34.52 ... 34.66 34.8\n",
       "    longitude                (index) float64 -87.38 -88.08 ... -85.74 -86.3"
      ]
     },
     "execution_count": 88,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Features"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "# Dictionary containing keyword arguments for the linking step:\n",
    "parameters_linking={}\n",
    "parameters_linking['stubs'] = 3 #5\n",
    "parameters_linking['method_linking']='predict'\n",
    "parameters_linking['adaptive_stop']=0.2\n",
    "parameters_linking['adaptive_step']=0.95\n",
    "parameters_linking['extrapolate']=0\n",
    "parameters_linking['order']=2 #Order of polynomial for extrapolating\n",
    "parameters_linking['subnetwork_size']=100 \n",
    "parameters_linking['memory']= 3#4\n",
    "#parameters_linking['time_cell_min']=1\n",
    "parameters_linking['v_max']=30\n",
    "parameters_linking['d_min']= None #5 \n",
    "\n",
    "# Track_df=tobac.linking_trackpy(Features_df,Mask_iris,dt=dt,dxy=dxy,**parameters_linking)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Frame 24: 75 trajectories present.\n"
     ]
    }
   ],
   "source": [
    "multiple_tracking = tobac.linking_trackpy(Features_df, None, dt=dt,dxy=dxy,**parameters_linking)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
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       "      <th>timestr</th>\n",
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       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
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       "      <td>-118574.833957</td>\n",
       "      <td>34.601917</td>\n",
       "      <td>-88.067061</td>\n",
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       "      <td>2008-04-11 20:20:58</td>\n",
       "      <td>2008-04-11 20:20:58</td>\n",
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       "      <td>-12087.018954</td>\n",
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       "      <td>1496</td>\n",
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       "      <td>-86.630264</td>\n",
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       "      <td>0 days 00:33:48</td>\n",
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       "      <td>34.676028</td>\n",
       "      <td>-86.304585</td>\n",
       "      <td>158</td>\n",
       "      <td>0 days 01:15:23</td>\n",
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       "      <th>1497</th>\n",
       "      <td>24</td>\n",
       "      <td>125</td>\n",
       "      <td>303.064874</td>\n",
       "      <td>488.028903</td>\n",
       "      <td>71</td>\n",
       "      <td>50</td>\n",
       "      <td>1498</td>\n",
       "      <td>2008-04-11 20:20:58</td>\n",
       "      <td>2008-04-11 20:20:58</td>\n",
       "      <td>1785.412871</td>\n",
       "      <td>94421.821376</td>\n",
       "      <td>34.657907</td>\n",
       "      <td>-85.739151</td>\n",
       "      <td>23</td>\n",
       "      <td>0 days 02:08:35</td>\n",
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       "    <tr>\n",
       "      <th>1498</th>\n",
       "      <td>24</td>\n",
       "      <td>126</td>\n",
       "      <td>333.334980</td>\n",
       "      <td>385.977828</td>\n",
       "      <td>21</td>\n",
       "      <td>50</td>\n",
       "      <td>1499</td>\n",
       "      <td>2008-04-11 20:20:58</td>\n",
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       "      <td>16945.733057</td>\n",
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       "      <td>-86.297169</td>\n",
       "      <td>242</td>\n",
       "      <td>0 days 00:38:59</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1499 rows × 15 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      frame  idx      hdim_1      hdim_2  num  threshold_value  feature  \\\n",
       "0         0    3  232.654355  187.475227   75               30        1   \n",
       "1         0    4  256.679129   59.120160    5               30        2   \n",
       "2         0    6  271.000000  227.817852    7               30        3   \n",
       "3         0    8  291.189565   62.745582    5               30        4   \n",
       "4         0    9  324.167350  103.064594  111               30        5   \n",
       "...     ...  ...         ...         ...  ...              ...      ...   \n",
       "1494     24  121  181.281622  275.366252   88               50     1495   \n",
       "1495     24  122  197.820473  325.438786   10               50     1496   \n",
       "1496     24  124  306.319990  384.751210   88               50     1497   \n",
       "1497     24  125  303.064874  488.028903   71               50     1498   \n",
       "1498     24  126  333.334980  385.977828   21               50     1499   \n",
       "\n",
       "                     time              timestr  projection_y_coordinate  \\\n",
       "0     2008-04-11 18:12:23  2008-04-11 18:12:23            -33478.620116   \n",
       "1     2008-04-11 18:12:23  2008-04-11 18:12:23            -21446.178957   \n",
       "2     2008-04-11 18:12:23  2008-04-11 18:12:23            -14273.789649   \n",
       "3     2008-04-11 18:12:23  2008-04-11 18:12:23             -4162.154494   \n",
       "4     2008-04-11 18:12:23  2008-04-11 18:12:23             12354.265509   \n",
       "...                   ...                  ...                      ...   \n",
       "1494  2008-04-11 20:20:58  2008-04-11 20:20:58            -59207.868610   \n",
       "1495  2008-04-11 20:20:58  2008-04-11 20:20:58            -50924.637719   \n",
       "1496  2008-04-11 20:20:58  2008-04-11 20:20:58              3415.687706   \n",
       "1497  2008-04-11 20:20:58  2008-04-11 20:20:58              1785.412871   \n",
       "1498  2008-04-11 20:20:58  2008-04-11 20:20:58             16945.733057   \n",
       "\n",
       "      projection_x_coordinate   latitude  longitude  cell       time_cell  \n",
       "0               -56105.896173  34.343593 -87.382608     1 0 days 00:00:00  \n",
       "1              -120390.570710  34.446289 -88.084443    -1             NaT  \n",
       "2               -35900.909033  34.517206 -87.163348    -1             NaT  \n",
       "3              -118574.833957  34.601917 -88.067061    -1             NaT  \n",
       "4               -98381.672359  34.752573 -87.848376    -1             NaT  \n",
       "...                       ...        ...        ...   ...             ...  \n",
       "1494            -12087.018954  34.113660 -86.902791    -1             NaT  \n",
       "1495             12991.044798  34.188142 -86.630264   247 0 days 00:33:48  \n",
       "1496             42696.766189  34.676028 -86.304585   158 0 days 01:15:23  \n",
       "1497             94421.821376  34.657907 -85.739151    23 0 days 02:08:35  \n",
       "1498             43311.099281  34.797679 -86.297169   242 0 days 00:38:59  \n",
       "\n",
       "[1499 rows x 15 columns]"
      ]
     },
     "execution_count": 91,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "multiple_tracking"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 3d Tracking"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Notice that the field we're tracking on has switched from the 2d composite reflectivity field to the 3D reflectivity field (still in an iris cube). "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "starting feature detection based on multiple thresholds\n",
      "feature detection done\n"
     ]
    }
   ],
   "source": [
    "#FIND OUR FEATURES!\n",
    "\n",
    "print('starting feature detection based on multiple thresholds')\n",
    "Features_df = tobac.feature_detection_multithreshold(grid_iris, dxy, **feature_detection_params)\n",
    "\n",
    "Features=Features_df.to_xarray()\n",
    "print('feature detection done')\n",
    "\n",
    "# Features.to_netcdf(os.path.join(savedir,'Features.nc'))\n",
    "# print('features saved')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Frame 21: 1 trajectories present.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/mgrover/mambaforge/envs/ams-open-radar-2023-dev/lib/python3.10/site-packages/trackpy/predict.py:227: UserWarning: Could not generate velocity field for prediction: no tracks\n",
      "  warn('Could not generate velocity field for prediction: no tracks')\n"
     ]
    }
   ],
   "source": [
    "multiple_tracking = tobac.linking_trackpy(Features_df, None, dt=dt,dxy=dxy,**parameters_linking)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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