From 7a45e2ec6e7cca0d0cf0ff242a8914587a1d1371 Mon Sep 17 00:00:00 2001
From: Alexander Kmoch <alexander.kmoch@ut.ee>
Date: Mon, 4 Dec 2023 14:31:34 +0100
Subject: [PATCH 1/6] regridding xagg airtemp to h3

---
 regridding/xagg_airtemp_h3.ipynb | 3949 ++++++++++++++++++++++++++++++
 1 file changed, 3949 insertions(+)
 create mode 100644 regridding/xagg_airtemp_h3.ipynb

diff --git a/regridding/xagg_airtemp_h3.ipynb b/regridding/xagg_airtemp_h3.ipynb
new file mode 100644
index 0000000..8581870
--- /dev/null
+++ b/regridding/xagg_airtemp_h3.ipynb
@@ -0,0 +1,3949 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "baae9222-b9ac-4438-bfba-a0d1d7f37269",
+   "metadata": {},
+   "source": [
+    "# Regridding the Lat/Lon Airtemp dataset to H3\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "38611c39-aa43-4480-84d4-9e87a200d106",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "\n",
+    "# The variable is named ESMFMKFILE, and it must point to the esmf.mk file \n",
+    "\n",
+    "esmfmk = \"/Users/akmoch/micromamba/envs/xa_dggs/lib/esmf.mk\"\n",
+    "os.environ[\"ESMFMKFILE\"] = esmfmk"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "500db10a-a8a6-4eef-853b-433210017c62",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/akmoch/micromamba/envs/xa_dggs/lib/python3.10/site-packages/h3/unstable/__init__.py:4: UserWarning: Modules under `h3.unstable` are experimental, and may change at any time.\n",
+      "  warnings.warn(\n"
+     ]
+    }
+   ],
+   "source": [
+    "import xagg as xa\n",
+    "import xarray as xr\n",
+    "import numpy as np\n",
+    "import geopandas as gpd\n",
+    "import xdggs\n",
+    "\n",
+    "import matplotlib as mpl\n",
+    "import matplotlib.pyplot as plt"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3cac95c7-9f2d-4fdd-b921-01c8f22d87a6",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c405c6cd-13ef-4609-bbf2-9d09f7d90e36",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
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+   "execution_count": null,
+   "id": "84dd951f-5bfd-4f6d-ab73-19e0a41c47f7",
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+   "outputs": [],
+   "source": []
+  },
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+   "execution_count": 5,
+   "id": "44439018-2874-4615-b4ac-ec8b0a764d83",
+   "metadata": {},
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+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
+       "Dimensions:  (lat: 25, time: 2920, lon: 53)\n",
+       "Coordinates:\n",
+       "  * lat      (lat) float32 75.0 72.5 70.0 67.5 65.0 ... 25.0 22.5 20.0 17.5 15.0\n",
+       "  * lon      (lon) float32 200.0 202.5 205.0 207.5 ... 322.5 325.0 327.5 330.0\n",
+       "  * time     (time) datetime64[ns] 2013-01-01 ... 2014-12-31T18:00:00\n",
+       "Data variables:\n",
+       "    air      (time, lat, lon) float32 241.2 242.5 243.5 ... 296.5 296.2 295.7\n",
+       "Attributes:\n",
+       "    Conventions:  COARDS\n",
+       "    title:        4x daily NMC reanalysis (1948)\n",
+       "    description:  Data is from NMC initialized reanalysis\\n(4x/day).  These a...\n",
+       "    platform:     Model\n",
+       "    references:   http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanaly...</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-51baa3db-2a25-433e-814f-5a9870d8a4ff' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-51baa3db-2a25-433e-814f-5a9870d8a4ff' 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'>lat</span>: 25</li><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-6edbae57-3fe8-408b-bf0d-b84479c46ed6' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6edbae57-3fe8-408b-bf0d-b84479c46ed6' 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'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-9ad06963-5c35-44ce-9b8e-cec5d593c6d5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9ad06963-5c35-44ce-9b8e-cec5d593c6d5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a17198c7-1c36-497d-8b1a-5e72a0e06811' class='xr-var-data-in' type='checkbox'><label for='data-a17198c7-1c36-497d-8b1a-5e72a0e06811' 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>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,\n",
+       "       45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5,\n",
+       "       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-1d3672c5-cffc-4687-af0c-741f27b9263b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1d3672c5-cffc-4687-af0c-741f27b9263b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bb55ba4c-85ea-43da-930d-d3428711daa6' class='xr-var-data-in' type='checkbox'><label for='data-bb55ba4c-85ea-43da-930d-d3428711daa6' 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>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,\n",
+       "       225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,\n",
+       "       250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,\n",
+       "       275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,\n",
+       "       300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,\n",
+       "       325. , 327.5, 330. ], dtype=float32)</pre></div></li><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'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-7ec936e4-da84-4274-803c-c3cc4d35f839' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7ec936e4-da84-4274-803c-c3cc4d35f839' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f6befe3b-1112-4a2f-b626-de64383f90cb' class='xr-var-data-in' type='checkbox'><label for='data-f6befe3b-1112-4a2f-b626-de64383f90cb' 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>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,\n",
+       "       &#x27;2013-01-01T12:00:00.000000000&#x27;, ..., &#x27;2014-12-31T06:00:00.000000000&#x27;,\n",
+       "       &#x27;2014-12-31T12:00:00.000000000&#x27;, &#x27;2014-12-31T18:00:00.000000000&#x27;],\n",
+       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a5198646-b4c6-4222-888a-3dcc8e9b13aa' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a5198646-b4c6-4222-888a-3dcc8e9b13aa' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>241.2 242.5 243.5 ... 296.2 295.7</div><input id='attrs-e0566d80-d8f6-4535-9f56-1cf5164ab7cb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e0566d80-d8f6-4535-9f56-1cf5164ab7cb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-abf79959-a4ac-4788-90bd-034465f9701e' class='xr-var-data-in' type='checkbox'><label for='data-abf79959-a4ac-4788-90bd-034465f9701e' 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>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div><div class='xr-var-data'><pre>array([[[241.2    , 242.5    , 243.5    , ..., 232.79999, 235.5    ,\n",
+       "         238.59999],\n",
+       "        [243.79999, 244.5    , 244.7    , ..., 232.79999, 235.29999,\n",
+       "         239.29999],\n",
+       "        [250.     , 249.79999, 248.89   , ..., 233.2    , 236.39   ,\n",
+       "         241.7    ],\n",
+       "        ...,\n",
+       "        [296.6    , 296.19998, 296.4    , ..., 295.4    , 295.1    ,\n",
+       "         294.69998],\n",
+       "        [295.9    , 296.19998, 296.79   , ..., 295.9    , 295.9    ,\n",
+       "         295.19998],\n",
+       "        [296.29   , 296.79   , 297.1    , ..., 296.9    , 296.79   ,\n",
+       "         296.6    ]],\n",
+       "\n",
+       "       [[242.09999, 242.7    , 243.09999, ..., 232.     , 233.59999,\n",
+       "         235.79999],\n",
+       "        [243.59999, 244.09999, 244.2    , ..., 231.     , 232.5    ,\n",
+       "         235.7    ],\n",
+       "        [253.2    , 252.89   , 252.09999, ..., 230.79999, 233.39   ,\n",
+       "         238.5    ],\n",
+       "...\n",
+       "        [293.69   , 293.88998, 295.38998, ..., 295.09   , 294.69   ,\n",
+       "         294.29   ],\n",
+       "        [296.29   , 297.19   , 297.59   , ..., 295.29   , 295.09   ,\n",
+       "         294.38998],\n",
+       "        [297.79   , 298.38998, 298.49   , ..., 295.69   , 295.49   ,\n",
+       "         295.19   ]],\n",
+       "\n",
+       "       [[245.09   , 244.29   , 243.29   , ..., 241.68999, 241.48999,\n",
+       "         241.79   ],\n",
+       "        [249.89   , 249.29   , 248.39   , ..., 239.59   , 240.29   ,\n",
+       "         241.68999],\n",
+       "        [262.99   , 262.19   , 261.38998, ..., 239.89   , 242.59   ,\n",
+       "         246.29   ],\n",
+       "        ...,\n",
+       "        [293.79   , 293.69   , 295.09   , ..., 295.29   , 295.09   ,\n",
+       "         294.69   ],\n",
+       "        [296.09   , 296.88998, 297.19   , ..., 295.69   , 295.69   ,\n",
+       "         295.19   ],\n",
+       "        [297.69   , 298.09   , 298.09   , ..., 296.49   , 296.19   ,\n",
+       "         295.69   ]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d7d320fd-e199-455d-ae08-2db228c2c473' class='xr-section-summary-in' type='checkbox'  ><label for='section-d7d320fd-e199-455d-ae08-2db228c2c473' 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>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-3969d4c5-29c7-406e-95b5-82eb50b08fdc' class='xr-index-data-in' type='checkbox'/><label for='index-3969d4c5-29c7-406e-95b5-82eb50b08fdc' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,\n",
+       "       45.0, 42.5, 40.0, 37.5, 35.0, 32.5, 30.0, 27.5, 25.0, 22.5, 20.0, 17.5,\n",
+       "       15.0],\n",
+       "      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-b001844b-c899-4be5-95da-0d9fcfe336a1' class='xr-index-data-in' type='checkbox'/><label for='index-b001844b-c899-4be5-95da-0d9fcfe336a1' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,\n",
+       "       225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,\n",
+       "       250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,\n",
+       "       275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,\n",
+       "       300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,\n",
+       "       325.0, 327.5, 330.0],\n",
+       "      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><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-29a6b2b4-4922-43c7-b843-9b256d82c53d' class='xr-index-data-in' type='checkbox'/><label for='index-29a6b2b4-4922-43c7-b843-9b256d82c53d' 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;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,\n",
+       "               &#x27;2013-01-01 12:00:00&#x27;, &#x27;2013-01-01 18:00:00&#x27;,\n",
+       "               &#x27;2013-01-02 00:00:00&#x27;, &#x27;2013-01-02 06:00:00&#x27;,\n",
+       "               &#x27;2013-01-02 12:00:00&#x27;, &#x27;2013-01-02 18:00:00&#x27;,\n",
+       "               &#x27;2013-01-03 00:00:00&#x27;, &#x27;2013-01-03 06:00:00&#x27;,\n",
+       "               ...\n",
+       "               &#x27;2014-12-29 12:00:00&#x27;, &#x27;2014-12-29 18:00:00&#x27;,\n",
+       "               &#x27;2014-12-30 00:00:00&#x27;, &#x27;2014-12-30 06:00:00&#x27;,\n",
+       "               &#x27;2014-12-30 12:00:00&#x27;, &#x27;2014-12-30 18:00:00&#x27;,\n",
+       "               &#x27;2014-12-31 00:00:00&#x27;, &#x27;2014-12-31 06:00:00&#x27;,\n",
+       "               &#x27;2014-12-31 12:00:00&#x27;, &#x27;2014-12-31 18:00:00&#x27;],\n",
+       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3683cea4-54a5-4c6b-9a6b-864d437aa6c8' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3683cea4-54a5-4c6b-9a6b-864d437aa6c8' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>COARDS</dd><dt><span>title :</span></dt><dd>4x daily NMC reanalysis (1948)</dd><dt><span>description :</span></dt><dd>Data is from NMC initialized reanalysis\n",
+       "(4x/day).  These are the 0.9950 sigma level values.</dd><dt><span>platform :</span></dt><dd>Model</dd><dt><span>references :</span></dt><dd>http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanalysis.html</dd></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.Dataset>\n",
+       "Dimensions:  (lat: 25, time: 2920, lon: 53)\n",
+       "Coordinates:\n",
+       "  * lat      (lat) float32 75.0 72.5 70.0 67.5 65.0 ... 25.0 22.5 20.0 17.5 15.0\n",
+       "  * lon      (lon) float32 200.0 202.5 205.0 207.5 ... 322.5 325.0 327.5 330.0\n",
+       "  * time     (time) datetime64[ns] 2013-01-01 ... 2014-12-31T18:00:00\n",
+       "Data variables:\n",
+       "    air      (time, lat, lon) float32 241.2 242.5 243.5 ... 296.5 296.2 295.7\n",
+       "Attributes:\n",
+       "    Conventions:  COARDS\n",
+       "    title:        4x daily NMC reanalysis (1948)\n",
+       "    description:  Data is from NMC initialized reanalysis\\n(4x/day).  These a...\n",
+       "    platform:     Model\n",
+       "    references:   http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanaly..."
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ds = xr.tutorial.load_dataset(\"air_temperature\").load()\n",
+    "ds"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "10175983-e8f1-4002-8c0f-4c2550c433ba",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "13a13406-7da6-47f9-b4c0-f33776078690",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.collections.QuadMesh at 0x29cec9bd0>"
+      ]
+     },
+     "execution_count": 6,
+     "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": [
+    "ds.air.isel(time=0).plot()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "bee395ce-ea8d-4f07-b524-683b9081864d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from cartopy import crs as ccrs\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "dd3e0b41-be65-4712-8e7a-befd314e3b4c",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<cartopy.mpl.feature_artist.FeatureArtist at 0x29f02b340>"
+      ]
+     },
+     "execution_count": 10,
+     "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": [
+    "fig, axis = plt.subplots(1, 1, subplot_kw=dict(projection=ccrs.Orthographic(-90, 30)))\n",
+    "\n",
+    "ds.air.isel(time=1).plot(\n",
+    "    ax=axis,\n",
+    "    transform=ccrs.PlateCarree(),  # this is important!\n",
+    "    # usual xarray stuff\n",
+    "    cbar_kwargs={\"orientation\": \"horizontal\", \"shrink\": 0.7},\n",
+    "    robust=True,\n",
+    ")\n",
+    "axis.coastlines()  # cartopy function"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "74ff2130-c3f2-475a-8ca8-a347fe7f9e78",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "469b12bc-7f23-442c-833b-54e0da066bdb",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from h3 import h3"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "id": "ef8ff7d3-ae9a-4524-a299-4a687fd65211",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "CPU times: user 2.54 ms, sys: 154 µs, total: 2.69 ms\n",
+      "Wall time: 2.68 ms\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "0.6037735849056604"
+      ]
+     },
+     "execution_count": 23,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "resolution = 2\n",
+    "\n",
+    "lon, lat = xr.broadcast(ds.lon, ds.lat)\n",
+    "## %time index = h3.unstable.vect.geo_to_h3(lat.data.ravel(), lon.data.ravel(), resolution)\n",
+    "%time index = [h3.geo_to_h3(la, lo, resolution) for (la, lo) in zip(lat.data.ravel(), lon.data.ravel())]\n",
+    "# index.shape = lon.shape\n",
+    "\n",
+    "len(np.unique(index)) / lon.size"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "id": "2c44d3ed-a5fe-4f4f-8901-071d2f709e9c",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "1325"
+      ]
+     },
+     "execution_count": 24,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# index.shape\n",
+    "len(index)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "id": "3c0dc420-e822-46a2-9101-45a9c7b9b44a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "id": "20c08cec-bdaf-4671-baee-622fd04bdcaa",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df = pd.DataFrame({\"geometry\": None, \"id\": index}, index=index)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "id": "c1e7ccc4-e310-4041-bfc9-dff0357360ea",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
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+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
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+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>geometry</th>\n",
+       "      <th>id</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>820d37fffffffff</th>\n",
+       "      <td>None</td>\n",
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+       "    </tr>\n",
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+       "      <th>820d07fffffffff</th>\n",
+       "      <td>None</td>\n",
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+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>820d1ffffffffff</th>\n",
+       "      <td>None</td>\n",
+       "      <td>820d1ffffffffff</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
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+       "      <td>None</td>\n",
+       "      <td>820c37fffffffff</td>\n",
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+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
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+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8234d7fffffffff</th>\n",
+       "      <td>None</td>\n",
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+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>82572ffffffffff</th>\n",
+       "      <td>None</td>\n",
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+       "    <tr>\n",
+       "      <th>825777fffffffff</th>\n",
+       "      <td>None</td>\n",
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+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>825757fffffffff</th>\n",
+       "      <td>None</td>\n",
+       "      <td>825757fffffffff</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>82575ffffffffff</th>\n",
+       "      <td>None</td>\n",
+       "      <td>82575ffffffffff</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1325 rows × 2 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                geometry               id\n",
+       "820d37fffffffff     None  820d37fffffffff\n",
+       "820d07fffffffff     None  820d07fffffffff\n",
+       "820d1ffffffffff     None  820d1ffffffffff\n",
+       "820c37fffffffff     None  820c37fffffffff\n",
+       "820c07fffffffff     None  820c07fffffffff\n",
+       "...                  ...              ...\n",
+       "8234d7fffffffff     None  8234d7fffffffff\n",
+       "82572ffffffffff     None  82572ffffffffff\n",
+       "825777fffffffff     None  825777fffffffff\n",
+       "825757fffffffff     None  825757fffffffff\n",
+       "82575ffffffffff     None  82575ffffffffff\n",
+       "\n",
+       "[1325 rows x 2 columns]"
+      ]
+     },
+     "execution_count": 27,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "id": "44db7c50-1ac8-43da-8a4d-ef95de635afb",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import shapely\n",
+    "from shapely.geometry import shape, mapping, Polygon"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "id": "31ca7011-da2b-4344-8a29-e9d85eb97f48",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df['geometry'] = df.apply(lambda r: Polygon(h3.h3_to_geo_boundary(r['id'], geo_json=True)), axis=1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 38,
+   "id": "4398b6a4-4377-4fa5-91d8-f4abd773dfbf",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
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+       "\n",
+       "    .dataframe tbody tr th {\n",
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+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>geometry</th>\n",
+       "      <th>id</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>820d37fffffffff</th>\n",
+       "      <td>POLYGON ((-163.45686807900944 76.1455673260825...</td>\n",
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+       "      <th>820d07fffffffff</th>\n",
+       "      <td>POLYGON ((-156.68473650523 73.75085590328372, ...</td>\n",
+       "      <td>820d07fffffffff</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>820d1ffffffffff</th>\n",
+       "      <td>POLYGON ((-160.79790121243346 71.0076187613270...</td>\n",
+       "      <td>820d1ffffffffff</td>\n",
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+       "      <td>820c37fffffffff</td>\n",
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+       "    <tr>\n",
+       "      <th>820c07fffffffff</th>\n",
+       "      <td>POLYGON ((-159.2859373808439 66.02866715337115...</td>\n",
+       "      <td>820c07fffffffff</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
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+       "    <tr>\n",
+       "      <th>8234d7fffffffff</th>\n",
+       "      <td>POLYGON ((-30.386417332925895 27.6177238571309...</td>\n",
+       "      <td>8234d7fffffffff</td>\n",
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+       "    <tr>\n",
+       "      <th>82572ffffffffff</th>\n",
+       "      <td>POLYGON ((-31.655200285380122 24.7947026994589...</td>\n",
+       "      <td>82572ffffffffff</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>825777fffffffff</th>\n",
+       "      <td>POLYGON ((-29.59996504669809 22.40230279430893...</td>\n",
+       "      <td>825777fffffffff</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>825757fffffffff</th>\n",
+       "      <td>POLYGON ((-30.824900138109847 19.6862191064201...</td>\n",
+       "      <td>825757fffffffff</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>82575ffffffffff</th>\n",
+       "      <td>POLYGON ((-28.89607467138024 17.37155025542475...</td>\n",
+       "      <td>82575ffffffffff</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1325 rows × 2 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                                                          geometry  \\\n",
+       "820d37fffffffff  POLYGON ((-163.45686807900944 76.1455673260825...   \n",
+       "820d07fffffffff  POLYGON ((-156.68473650523 73.75085590328372, ...   \n",
+       "820d1ffffffffff  POLYGON ((-160.79790121243346 71.0076187613270...   \n",
+       "820c37fffffffff  POLYGON ((-163.8729684603252 68.21921734529467...   \n",
+       "820c07fffffffff  POLYGON ((-159.2859373808439 66.02866715337115...   \n",
+       "...                                                            ...   \n",
+       "8234d7fffffffff  POLYGON ((-30.386417332925895 27.6177238571309...   \n",
+       "82572ffffffffff  POLYGON ((-31.655200285380122 24.7947026994589...   \n",
+       "825777fffffffff  POLYGON ((-29.59996504669809 22.40230279430893...   \n",
+       "825757fffffffff  POLYGON ((-30.824900138109847 19.6862191064201...   \n",
+       "82575ffffffffff  POLYGON ((-28.89607467138024 17.37155025542475...   \n",
+       "\n",
+       "                              id  \n",
+       "820d37fffffffff  820d37fffffffff  \n",
+       "820d07fffffffff  820d07fffffffff  \n",
+       "820d1ffffffffff  820d1ffffffffff  \n",
+       "820c37fffffffff  820c37fffffffff  \n",
+       "820c07fffffffff  820c07fffffffff  \n",
+       "...                          ...  \n",
+       "8234d7fffffffff  8234d7fffffffff  \n",
+       "82572ffffffffff  82572ffffffffff  \n",
+       "825777fffffffff  825777fffffffff  \n",
+       "825757fffffffff  825757fffffffff  \n",
+       "82575ffffffffff  82575ffffffffff  \n",
+       "\n",
+       "[1325 rows x 2 columns]"
+      ]
+     },
+     "execution_count": 38,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 39,
+   "id": "3e418dbf-9454-4c69-8ada-3e16fdf52ee3",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/svg+xml": [
+       "<svg xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\" width=\"100.0\" height=\"100.0\" viewBox=\"-169.0616895439098 72.2311887129649 12.852989694013644 4.39041526845152\" preserveAspectRatio=\"xMinYMin meet\"><g transform=\"matrix(1,0,0,-1,0,148.85279269438132)\"><path fill-rule=\"evenodd\" fill=\"#66cc99\" stroke=\"#555555\" stroke-width=\"0.2570597938802729\" opacity=\"0.6\" d=\"M -163.45686807900944,76.14556732608257 L -168.58565288857596,74.93980975620119 L -167.0431169354343,73.24458055449543 L -161.5056445473101,72.70722536829874 L -156.68473650523,73.75085590328372 L -157.0299997629345,75.47864683380004 L -163.45686807900944,76.14556732608257 z\" /></g></svg>"
+      ],
+      "text/plain": [
+       "<POLYGON ((-163.457 76.146, -168.586 74.94, -167.043 73.245, -161.506 72.707...>"
+      ]
+     },
+     "execution_count": 39,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "shapely.geometry.Polygon(df.iloc[0,0])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 40,
+   "id": "4198ded7-9595-48a5-9c4b-db8ae45fc0af",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "gdf2 = gpd.GeoDataFrame(df, geometry=\"geometry\", crs=4326)\n",
+    "bb = shapely.geometry.box(-160,15,-30,70)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 42,
+   "id": "2e350d9c-bc51-46fa-a732-32cf552978c1",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "ax = gdf2.plot()\n",
+    "# gpd.GeoDataFrame({'geometry':[bb]}, crs=4326).plot(ax=ax, color=\"gray\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 43,
+   "id": "bf2e443f-e9a0-4d3d-9949-ac8ad864d503",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ll = h3.polyfill(bb.__geo_interface__, geo_json_conformant=True, res=2)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 44,
+   "id": "93e3f33c-2c6a-4652-8c28-2b3460fb0665",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df3 = pd.DataFrame(ll).rename(columns={0:\"h3\"})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 45,
+   "id": "29a23c1d-8747-4ba6-8d86-f068985d2c07",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df3['geometry'] = df3.apply(\n",
+    "    lambda r: Polygon(h3.h3_to_geo_boundary(r['h3'], geo_json=True)), axis=1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 46,
+   "id": "c01ca524-f939-4361-a0a4-d444e71f9a1f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "gdf3x = gpd.GeoDataFrame(df3, crs=4326)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 47,
+   "id": "72a741f6-1d07-4d62-833a-4a3f39ff7b60",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Axes: >"
+      ]
+     },
+     "execution_count": 47,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "gdf3x.plot()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 58,
+   "id": "5c821f73-0829-483c-aa74-41643ea4576e",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>geometry</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>h3</th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>8244affffffffff</th>\n",
+       "      <td>POLYGON ((-80.69856 26.06269, -79.21173 26.761...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>82506ffffffffff</th>\n",
+       "      <td>POLYGON ((-141.50188 24.18117, -142.71887 22.8...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>821227fffffffff</th>\n",
+       "      <td>POLYGON ((-120.00772 63.45393, -121.99326 62.1...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>821247fffffffff</th>\n",
+       "      <td>POLYGON ((-107.13363 57.29953, -109.36840 56.1...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>821d97fffffffff</th>\n",
+       "      <td>POLYGON ((-154.37896 52.03225, -152.85036 53.0...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>82379ffffffffff</th>\n",
+       "      <td>POLYGON ((-157.66270 34.85325, -158.85034 33.5...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>822777fffffffff</th>\n",
+       "      <td>POLYGON ((-88.65412 49.81242, -91.06290 49.082...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8244cffffffffff</th>\n",
+       "      <td>POLYGON ((-84.76158 33.83307, -83.10474 34.505...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>820ecffffffffff</th>\n",
+       "      <td>POLYGON ((-80.86152 51.71301, -83.54839 51.133...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8237b7fffffffff</th>\n",
+       "      <td>POLYGON ((-159.94763 39.09942, -161.15685 37.8...</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>734 rows × 1 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                                                          geometry\n",
+       "h3                                                                \n",
+       "8244affffffffff  POLYGON ((-80.69856 26.06269, -79.21173 26.761...\n",
+       "82506ffffffffff  POLYGON ((-141.50188 24.18117, -142.71887 22.8...\n",
+       "821227fffffffff  POLYGON ((-120.00772 63.45393, -121.99326 62.1...\n",
+       "821247fffffffff  POLYGON ((-107.13363 57.29953, -109.36840 56.1...\n",
+       "821d97fffffffff  POLYGON ((-154.37896 52.03225, -152.85036 53.0...\n",
+       "...                                                            ...\n",
+       "82379ffffffffff  POLYGON ((-157.66270 34.85325, -158.85034 33.5...\n",
+       "822777fffffffff  POLYGON ((-88.65412 49.81242, -91.06290 49.082...\n",
+       "8244cffffffffff  POLYGON ((-84.76158 33.83307, -83.10474 34.505...\n",
+       "820ecffffffffff  POLYGON ((-80.86152 51.71301, -83.54839 51.133...\n",
+       "8237b7fffffffff  POLYGON ((-159.94763 39.09942, -161.15685 37.8...\n",
+       "\n",
+       "[734 rows x 1 columns]"
+      ]
+     },
+     "execution_count": 58,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "gdf3x_h3 =  gdf3x.set_index(\"h3\", drop=True)\n",
+    "gdf3x_h3"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "87467f48-17a7-4a05-a819-0ce4b16d5857",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "85da0955-e468-48d9-8ebc-28d96536e1f4",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5468520a-873b-4453-b60b-4b3e1be4c432",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 48,
+   "id": "16e6fb30-a973-4b74-95ec-ea3baaeeb9b7",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
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+       "</symbol>\n",
+       "</defs>\n",
+       "</svg>\n",
+       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
+       " *\n",
+       " */\n",
+       "\n",
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+       "  --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",
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+       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
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+       "  --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",
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+       ".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",
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+       "\n",
+       ".xr-obj-type,\n",
+       ".xr-array-name {\n",
+       "  margin-left: 2px;\n",
+       "  margin-right: 10px;\n",
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+       "\n",
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+       "  padding-left: 0 !important;\n",
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+       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item {\n",
+       "  display: contents;\n",
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+       "\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",
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+       "  cursor: pointer;\n",
+       "  color: var(--xr-font-color2);\n",
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+       "}\n",
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+       "  font-weight: 500;\n",
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+       "\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",
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+       "\n",
+       ".xr-section-summary-in + label:before {\n",
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+       "  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",
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+       "\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:  (lat: 25, time: 2920, lon: 53)\n",
+       "Coordinates:\n",
+       "  * lat      (lat) float32 75.0 72.5 70.0 67.5 65.0 ... 25.0 22.5 20.0 17.5 15.0\n",
+       "  * lon      (lon) float32 200.0 202.5 205.0 207.5 ... 322.5 325.0 327.5 330.0\n",
+       "  * time     (time) datetime64[ns] 2013-01-01 ... 2014-12-31T18:00:00\n",
+       "Data variables:\n",
+       "    air      (time, lat, lon) float32 241.2 242.5 243.5 ... 296.5 296.2 295.7\n",
+       "Attributes:\n",
+       "    Conventions:  COARDS\n",
+       "    title:        4x daily NMC reanalysis (1948)\n",
+       "    description:  Data is from NMC initialized reanalysis\\n(4x/day).  These a...\n",
+       "    platform:     Model\n",
+       "    references:   http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanaly...</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-9b2a2b48-09c2-46cf-89c7-55f42a11f361' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-9b2a2b48-09c2-46cf-89c7-55f42a11f361' 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'>lat</span>: 25</li><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-2f14f9c8-a101-4955-b2d4-e1e057fbf84b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2f14f9c8-a101-4955-b2d4-e1e057fbf84b' 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'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-03d44011-d36b-4d00-a98f-f849d8d6f2ad' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-03d44011-d36b-4d00-a98f-f849d8d6f2ad' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-83fe7bc3-80d0-4747-8681-687dd00bcdfb' class='xr-var-data-in' type='checkbox'><label for='data-83fe7bc3-80d0-4747-8681-687dd00bcdfb' 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>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,\n",
+       "       45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5,\n",
+       "       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-68574aa9-6ab3-41e7-bf87-93eb1b652e1b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-68574aa9-6ab3-41e7-bf87-93eb1b652e1b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b1d3eb9d-9a8a-49ed-abc0-429c3ea43f5b' class='xr-var-data-in' type='checkbox'><label for='data-b1d3eb9d-9a8a-49ed-abc0-429c3ea43f5b' 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>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,\n",
+       "       225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,\n",
+       "       250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,\n",
+       "       275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,\n",
+       "       300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,\n",
+       "       325. , 327.5, 330. ], dtype=float32)</pre></div></li><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'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-66125077-8a6c-4b96-8af4-3c1446bbb172' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-66125077-8a6c-4b96-8af4-3c1446bbb172' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-02bbc8e6-00c2-4b52-8c1e-4cac98b68cb7' class='xr-var-data-in' type='checkbox'><label for='data-02bbc8e6-00c2-4b52-8c1e-4cac98b68cb7' 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>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,\n",
+       "       &#x27;2013-01-01T12:00:00.000000000&#x27;, ..., &#x27;2014-12-31T06:00:00.000000000&#x27;,\n",
+       "       &#x27;2014-12-31T12:00:00.000000000&#x27;, &#x27;2014-12-31T18:00:00.000000000&#x27;],\n",
+       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d34f2d26-381b-4f4a-9730-9a1503e27389' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d34f2d26-381b-4f4a-9730-9a1503e27389' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>241.2 242.5 243.5 ... 296.2 295.7</div><input id='attrs-3a784c24-ed4b-422d-bd10-e194fb2664a8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3a784c24-ed4b-422d-bd10-e194fb2664a8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-392cd25f-bf70-40dc-be3b-4bfb5e41ce79' class='xr-var-data-in' type='checkbox'><label for='data-392cd25f-bf70-40dc-be3b-4bfb5e41ce79' 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>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div><div class='xr-var-data'><pre>array([[[241.2    , 242.5    , 243.5    , ..., 232.79999, 235.5    ,\n",
+       "         238.59999],\n",
+       "        [243.79999, 244.5    , 244.7    , ..., 232.79999, 235.29999,\n",
+       "         239.29999],\n",
+       "        [250.     , 249.79999, 248.89   , ..., 233.2    , 236.39   ,\n",
+       "         241.7    ],\n",
+       "        ...,\n",
+       "        [296.6    , 296.19998, 296.4    , ..., 295.4    , 295.1    ,\n",
+       "         294.69998],\n",
+       "        [295.9    , 296.19998, 296.79   , ..., 295.9    , 295.9    ,\n",
+       "         295.19998],\n",
+       "        [296.29   , 296.79   , 297.1    , ..., 296.9    , 296.79   ,\n",
+       "         296.6    ]],\n",
+       "\n",
+       "       [[242.09999, 242.7    , 243.09999, ..., 232.     , 233.59999,\n",
+       "         235.79999],\n",
+       "        [243.59999, 244.09999, 244.2    , ..., 231.     , 232.5    ,\n",
+       "         235.7    ],\n",
+       "        [253.2    , 252.89   , 252.09999, ..., 230.79999, 233.39   ,\n",
+       "         238.5    ],\n",
+       "...\n",
+       "        [293.69   , 293.88998, 295.38998, ..., 295.09   , 294.69   ,\n",
+       "         294.29   ],\n",
+       "        [296.29   , 297.19   , 297.59   , ..., 295.29   , 295.09   ,\n",
+       "         294.38998],\n",
+       "        [297.79   , 298.38998, 298.49   , ..., 295.69   , 295.49   ,\n",
+       "         295.19   ]],\n",
+       "\n",
+       "       [[245.09   , 244.29   , 243.29   , ..., 241.68999, 241.48999,\n",
+       "         241.79   ],\n",
+       "        [249.89   , 249.29   , 248.39   , ..., 239.59   , 240.29   ,\n",
+       "         241.68999],\n",
+       "        [262.99   , 262.19   , 261.38998, ..., 239.89   , 242.59   ,\n",
+       "         246.29   ],\n",
+       "        ...,\n",
+       "        [293.79   , 293.69   , 295.09   , ..., 295.29   , 295.09   ,\n",
+       "         294.69   ],\n",
+       "        [296.09   , 296.88998, 297.19   , ..., 295.69   , 295.69   ,\n",
+       "         295.19   ],\n",
+       "        [297.69   , 298.09   , 298.09   , ..., 296.49   , 296.19   ,\n",
+       "         295.69   ]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f6831b50-61f4-4d12-8f58-383c1e824f18' class='xr-section-summary-in' type='checkbox'  ><label for='section-f6831b50-61f4-4d12-8f58-383c1e824f18' 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>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-302f4200-8728-4880-a023-e1d83983f126' class='xr-index-data-in' type='checkbox'/><label for='index-302f4200-8728-4880-a023-e1d83983f126' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,\n",
+       "       45.0, 42.5, 40.0, 37.5, 35.0, 32.5, 30.0, 27.5, 25.0, 22.5, 20.0, 17.5,\n",
+       "       15.0],\n",
+       "      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-6a7367af-c835-4015-8a2a-8def0b294035' class='xr-index-data-in' type='checkbox'/><label for='index-6a7367af-c835-4015-8a2a-8def0b294035' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,\n",
+       "       225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,\n",
+       "       250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,\n",
+       "       275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,\n",
+       "       300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,\n",
+       "       325.0, 327.5, 330.0],\n",
+       "      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><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-d743ab82-b8f5-4ce6-8377-66a77924039e' class='xr-index-data-in' type='checkbox'/><label for='index-d743ab82-b8f5-4ce6-8377-66a77924039e' 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;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,\n",
+       "               &#x27;2013-01-01 12:00:00&#x27;, &#x27;2013-01-01 18:00:00&#x27;,\n",
+       "               &#x27;2013-01-02 00:00:00&#x27;, &#x27;2013-01-02 06:00:00&#x27;,\n",
+       "               &#x27;2013-01-02 12:00:00&#x27;, &#x27;2013-01-02 18:00:00&#x27;,\n",
+       "               &#x27;2013-01-03 00:00:00&#x27;, &#x27;2013-01-03 06:00:00&#x27;,\n",
+       "               ...\n",
+       "               &#x27;2014-12-29 12:00:00&#x27;, &#x27;2014-12-29 18:00:00&#x27;,\n",
+       "               &#x27;2014-12-30 00:00:00&#x27;, &#x27;2014-12-30 06:00:00&#x27;,\n",
+       "               &#x27;2014-12-30 12:00:00&#x27;, &#x27;2014-12-30 18:00:00&#x27;,\n",
+       "               &#x27;2014-12-31 00:00:00&#x27;, &#x27;2014-12-31 06:00:00&#x27;,\n",
+       "               &#x27;2014-12-31 12:00:00&#x27;, &#x27;2014-12-31 18:00:00&#x27;],\n",
+       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5279164a-b695-4b86-ad28-e894299dfa62' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5279164a-b695-4b86-ad28-e894299dfa62' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>COARDS</dd><dt><span>title :</span></dt><dd>4x daily NMC reanalysis (1948)</dd><dt><span>description :</span></dt><dd>Data is from NMC initialized reanalysis\n",
+       "(4x/day).  These are the 0.9950 sigma level values.</dd><dt><span>platform :</span></dt><dd>Model</dd><dt><span>references :</span></dt><dd>http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanalysis.html</dd></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.Dataset>\n",
+       "Dimensions:  (lat: 25, time: 2920, lon: 53)\n",
+       "Coordinates:\n",
+       "  * lat      (lat) float32 75.0 72.5 70.0 67.5 65.0 ... 25.0 22.5 20.0 17.5 15.0\n",
+       "  * lon      (lon) float32 200.0 202.5 205.0 207.5 ... 322.5 325.0 327.5 330.0\n",
+       "  * time     (time) datetime64[ns] 2013-01-01 ... 2014-12-31T18:00:00\n",
+       "Data variables:\n",
+       "    air      (time, lat, lon) float32 241.2 242.5 243.5 ... 296.5 296.2 295.7\n",
+       "Attributes:\n",
+       "    Conventions:  COARDS\n",
+       "    title:        4x daily NMC reanalysis (1948)\n",
+       "    description:  Data is from NMC initialized reanalysis\\n(4x/day).  These a...\n",
+       "    platform:     Model\n",
+       "    references:   http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanaly..."
+      ]
+     },
+     "execution_count": 48,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ds = xr.tutorial.load_dataset(\"air_temperature\").load()\n",
+    "ds"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "37c13c57-7c45-45db-84a5-172e2df9c6e9",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "44a496a6-97c0-40b5-8337-6829855d923a",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 63,
+   "id": "ff9a7545-babd-4eda-a4c2-cf44f46910cf",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "creating polygons for each pixel...\n",
+      "lat/lon bounds not found in dataset; they will be created.\n",
+      "calculating overlaps between pixels and output polygons...\n",
+      "success!\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Calculate overlaps\n",
+    "# weightmap = xa.pixel_overlaps(ds.rename_dims({\"ni\": \"x\", \"nj\": \"y\"}),gdf)\n",
+    "weightmap = xa.pixel_overlaps(ds,gdf3x)"
+   ]
+  },
+  {
+   "cell_type": "raw",
+   "id": "ce6f4bd7-92e2-44c6-8349-0c72605c9cf5",
+   "metadata": {},
+   "source": [
+    "# Export weightmap\n",
+    "weightmap.to_file('wm')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 65,
+   "id": "b1278e25-5923-42b6-8cc7-2807b01a91f2",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<xagg.classes.weightmap at 0x2c5baff70>"
+      ]
+     },
+     "execution_count": 65,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "weightmap"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 66,
+   "id": "e3806417-d94f-401a-bbf8-e8f697d0cb60",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "aggregating air...\n",
+      "all variables aggregated to polygons!\n"
+     ]
+    }
+   ],
+   "source": [
+    "aggregated = xa.aggregate(ds,weightmap)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 67,
+   "id": "a9bad82c-3cb0-4970-93c5-b88b96f903b7",
+   "metadata": {},
+   "outputs": [
+    {
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+       "\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:   (poly_idx: 734, time: 2920)\n",
+       "Coordinates:\n",
+       "  * poly_idx  (poly_idx) int64 0 1 2 3 4 5 6 7 ... 727 728 729 730 731 732 733\n",
+       "  * time      (time) datetime64[ns] 2013-01-01 ... 2014-12-31T18:00:00\n",
+       "Data variables:\n",
+       "    h3        (poly_idx) object &#x27;8244affffffffff&#x27; ... &#x27;8237b7fffffffff&#x27;\n",
+       "    air       (poly_idx, time) float64 291.9 291.0 291.3 ... 284.4 284.3 284.5</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-43911a6a-c5c7-49b2-afc1-6513359aee20' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-43911a6a-c5c7-49b2-afc1-6513359aee20' 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'>poly_idx</span>: 734</li><li><span class='xr-has-index'>time</span>: 2920</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-67deb214-4e9a-48c7-8ba3-7c1b44a3dd84' class='xr-section-summary-in' type='checkbox'  checked><label for='section-67deb214-4e9a-48c7-8ba3-7c1b44a3dd84' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>poly_idx</span></div><div class='xr-var-dims'>(poly_idx)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 ... 729 730 731 732 733</div><input id='attrs-a6068f32-d176-4086-ad21-41c157b21091' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a6068f32-d176-4086-ad21-41c157b21091' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-37f68232-71ad-430f-a7d9-2a2c04a81863' class='xr-var-data-in' type='checkbox'><label for='data-37f68232-71ad-430f-a7d9-2a2c04a81863' 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, ..., 731, 732, 733])</pre></div></li><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'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-9fe31e22-e52c-4d18-a653-246b218b3810' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9fe31e22-e52c-4d18-a653-246b218b3810' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4a7ff1b8-ce58-42de-9988-ee77f6a36c7f' class='xr-var-data-in' type='checkbox'><label for='data-4a7ff1b8-ce58-42de-9988-ee77f6a36c7f' 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;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,\n",
+       "       &#x27;2013-01-01T12:00:00.000000000&#x27;, ..., &#x27;2014-12-31T06:00:00.000000000&#x27;,\n",
+       "       &#x27;2014-12-31T12:00:00.000000000&#x27;, &#x27;2014-12-31T18:00:00.000000000&#x27;],\n",
+       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6e111ba6-cd41-4d05-8fe5-e6414f83d79a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6e111ba6-cd41-4d05-8fe5-e6414f83d79a' 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>h3</span></div><div class='xr-var-dims'>(poly_idx)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;8244affffffffff&#x27; ... &#x27;8237b7fff...</div><input id='attrs-0d137fa7-a447-4afa-966b-31fbc95a7327' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0d137fa7-a447-4afa-966b-31fbc95a7327' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a5623b2d-3014-4497-9a5b-7e1ce666a832' class='xr-var-data-in' type='checkbox'><label for='data-a5623b2d-3014-4497-9a5b-7e1ce666a832' 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;8244affffffffff&#x27;, &#x27;82506ffffffffff&#x27;, &#x27;821227fffffffff&#x27;,\n",
+       "       &#x27;821247fffffffff&#x27;, &#x27;821d97fffffffff&#x27;, &#x27;822a6ffffffffff&#x27;,\n",
+       "       &#x27;825d6ffffffffff&#x27;, &#x27;821d2ffffffffff&#x27;, &#x27;822a2ffffffffff&#x27;,\n",
+       "       &#x27;82289ffffffffff&#x27;, &#x27;82482ffffffffff&#x27;, &#x27;822a0ffffffffff&#x27;,\n",
+       "       &#x27;820c0ffffffffff&#x27;, &#x27;823ad7fffffffff&#x27;, &#x27;821ce7fffffffff&#x27;,\n",
+       "       &#x27;822687fffffffff&#x27;, &#x27;821a9ffffffffff&#x27;, &#x27;823b37fffffffff&#x27;,\n",
+       "       &#x27;8212a7fffffffff&#x27;, &#x27;8229a7fffffffff&#x27;, &#x27;820c67fffffffff&#x27;,\n",
+       "       &#x27;824967fffffffff&#x27;, &#x27;822907fffffffff&#x27;, &#x27;823a47fffffffff&#x27;,\n",
+       "       &#x27;8212effffffffff&#x27;, &#x27;821ac7fffffffff&#x27;, &#x27;821ab7fffffffff&#x27;,\n",
+       "       &#x27;821d57fffffffff&#x27;, &#x27;82366ffffffffff&#x27;, &#x27;821d1ffffffffff&#x27;,\n",
+       "       &#x27;825607fffffffff&#x27;, &#x27;82239ffffffffff&#x27;, &#x27;823727fffffffff&#x27;,\n",
+       "       &#x27;822bb7fffffffff&#x27;, &#x27;82466ffffffffff&#x27;, &#x27;8249a7fffffffff&#x27;,\n",
+       "       &#x27;824497fffffffff&#x27;, &#x27;8250d7fffffffff&#x27;, &#x27;8228e7fffffffff&#x27;,\n",
+       "       &#x27;82131ffffffffff&#x27;, &#x27;823497fffffffff&#x27;, &#x27;820e47fffffffff&#x27;,\n",
+       "       &#x27;824557fffffffff&#x27;, &#x27;822b5ffffffffff&#x27;, &#x27;825ecffffffffff&#x27;,\n",
+       "       &#x27;822a67fffffffff&#x27;, &#x27;820c07fffffffff&#x27;, &#x27;821337fffffffff&#x27;,\n",
+       "       &#x27;82361ffffffffff&#x27;, &#x27;823487fffffffff&#x27;, &#x27;821cdffffffffff&#x27;,\n",
+       "       &#x27;82448ffffffffff&#x27;, &#x27;820ccffffffffff&#x27;, &#x27;82480ffffffffff&#x27;,\n",
+       "       &#x27;8248b7fffffffff&#x27;, &#x27;820d5ffffffffff&#x27;, &#x27;821d9ffffffffff&#x27;,\n",
+       "       &#x27;822af7fffffffff&#x27;, &#x27;8206e7fffffffff&#x27;, &#x27;8234b7fffffffff&#x27;,\n",
+       "...\n",
+       "       &#x27;820f5ffffffffff&#x27;, &#x27;821d77fffffffff&#x27;, &#x27;82295ffffffffff&#x27;,\n",
+       "       &#x27;821caffffffffff&#x27;, &#x27;824947fffffffff&#x27;, &#x27;823b9ffffffffff&#x27;,\n",
+       "       &#x27;82488ffffffffff&#x27;, &#x27;821c27fffffffff&#x27;, &#x27;822b4ffffffffff&#x27;,\n",
+       "       &#x27;82279ffffffffff&#x27;, &#x27;820e67fffffffff&#x27;, &#x27;8248effffffffff&#x27;,\n",
+       "       &#x27;822ab7fffffffff&#x27;, &#x27;824ca7fffffffff&#x27;, &#x27;823b87fffffffff&#x27;,\n",
+       "       &#x27;820d57fffffffff&#x27;, &#x27;8248d7fffffffff&#x27;, &#x27;82360ffffffffff&#x27;,\n",
+       "       &#x27;820607fffffffff&#x27;, &#x27;82124ffffffffff&#x27;, &#x27;823687fffffffff&#x27;,\n",
+       "       &#x27;8206c7fffffffff&#x27;, &#x27;8202cffffffffff&#x27;, &#x27;821a4ffffffffff&#x27;,\n",
+       "       &#x27;82486ffffffffff&#x27;, &#x27;8226cffffffffff&#x27;, &#x27;8226a7fffffffff&#x27;,\n",
+       "       &#x27;8250effffffffff&#x27;, &#x27;822387fffffffff&#x27;, &#x27;820c2ffffffffff&#x27;,\n",
+       "       &#x27;820e2ffffffffff&#x27;, &#x27;8226e7fffffffff&#x27;, &#x27;820eb7fffffffff&#x27;,\n",
+       "       &#x27;82444ffffffffff&#x27;, &#x27;821aaffffffffff&#x27;, &#x27;822977fffffffff&#x27;,\n",
+       "       &#x27;825c27fffffffff&#x27;, &#x27;820f97fffffffff&#x27;, &#x27;82138ffffffffff&#x27;,\n",
+       "       &#x27;823707fffffffff&#x27;, &#x27;824827fffffffff&#x27;, &#x27;824987fffffffff&#x27;,\n",
+       "       &#x27;822a4ffffffffff&#x27;, &#x27;82261ffffffffff&#x27;, &#x27;821b5ffffffffff&#x27;,\n",
+       "       &#x27;824d1ffffffffff&#x27;, &#x27;82368ffffffffff&#x27;, &#x27;822ae7fffffffff&#x27;,\n",
+       "       &#x27;822897fffffffff&#x27;, &#x27;821ae7fffffffff&#x27;, &#x27;823baffffffffff&#x27;,\n",
+       "       &#x27;82504ffffffffff&#x27;, &#x27;822657fffffffff&#x27;, &#x27;8228cffffffffff&#x27;,\n",
+       "       &#x27;82379ffffffffff&#x27;, &#x27;822777fffffffff&#x27;, &#x27;8244cffffffffff&#x27;,\n",
+       "       &#x27;820ecffffffffff&#x27;, &#x27;8237b7fffffffff&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(poly_idx, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>291.9 291.0 291.3 ... 284.3 284.5</div><input id='attrs-8c5dd53e-a9f4-44aa-8a3c-d60ad262da28' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8c5dd53e-a9f4-44aa-8a3c-d60ad262da28' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dc466492-73d4-4b91-8257-c367b625475c' class='xr-var-data-in' type='checkbox'><label for='data-dc466492-73d4-4b91-8257-c367b625475c' 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([[291.92884405, 290.99186289, 291.33253881, ..., 293.67901364,\n",
+       "        293.40958865, 294.51149951],\n",
+       "       [292.308513  , 292.40172554, 292.04916245, ..., 294.72601316,\n",
+       "        294.84370083, 295.65580678],\n",
+       "       [268.66127747, 267.85559463, 266.61923226, ..., 269.65452323,\n",
+       "        267.2232846 , 265.0453039 ],\n",
+       "       ...,\n",
+       "       [278.45193936, 276.00329865, 278.9632355 , ..., 268.96704881,\n",
+       "        269.22845775, 273.94136009],\n",
+       "       [257.94577837, 251.41646928, 249.58891942, ..., 249.44443639,\n",
+       "        252.45125769, 259.77819074],\n",
+       "       [286.40241485, 286.11972162, 284.97639334, ..., 284.44333626,\n",
+       "        284.26280168, 284.54962449]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-63e302f4-f571-4dd2-9e99-979c75b491dd' class='xr-section-summary-in' type='checkbox'  ><label for='section-63e302f4-f571-4dd2-9e99-979c75b491dd' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>poly_idx</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-519421b8-3d17-4276-b93b-f2d18460b8b6' class='xr-index-data-in' type='checkbox'/><label for='index-519421b8-3d17-4276-b93b-f2d18460b8b6' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  0,   1,   2,   3,   4,   5,   6,   7,   8,   9,\n",
+       "       ...\n",
+       "       724, 725, 726, 727, 728, 729, 730, 731, 732, 733],\n",
+       "      dtype=&#x27;int64&#x27;, name=&#x27;poly_idx&#x27;, length=734))</pre></div></li><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-971612db-1e0d-4eab-b3cc-4d497db37c89' class='xr-index-data-in' type='checkbox'/><label for='index-971612db-1e0d-4eab-b3cc-4d497db37c89' 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;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,\n",
+       "               &#x27;2013-01-01 12:00:00&#x27;, &#x27;2013-01-01 18:00:00&#x27;,\n",
+       "               &#x27;2013-01-02 00:00:00&#x27;, &#x27;2013-01-02 06:00:00&#x27;,\n",
+       "               &#x27;2013-01-02 12:00:00&#x27;, &#x27;2013-01-02 18:00:00&#x27;,\n",
+       "               &#x27;2013-01-03 00:00:00&#x27;, &#x27;2013-01-03 06:00:00&#x27;,\n",
+       "               ...\n",
+       "               &#x27;2014-12-29 12:00:00&#x27;, &#x27;2014-12-29 18:00:00&#x27;,\n",
+       "               &#x27;2014-12-30 00:00:00&#x27;, &#x27;2014-12-30 06:00:00&#x27;,\n",
+       "               &#x27;2014-12-30 12:00:00&#x27;, &#x27;2014-12-30 18:00:00&#x27;,\n",
+       "               &#x27;2014-12-31 00:00:00&#x27;, &#x27;2014-12-31 06:00:00&#x27;,\n",
+       "               &#x27;2014-12-31 12:00:00&#x27;, &#x27;2014-12-31 18:00:00&#x27;],\n",
+       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b226f0bb-83aa-469f-9b19-fd23b739c03d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b226f0bb-83aa-469f-9b19-fd23b739c03d' 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:   (poly_idx: 734, time: 2920)\n",
+       "Coordinates:\n",
+       "  * poly_idx  (poly_idx) int64 0 1 2 3 4 5 6 7 ... 727 728 729 730 731 732 733\n",
+       "  * time      (time) datetime64[ns] 2013-01-01 ... 2014-12-31T18:00:00\n",
+       "Data variables:\n",
+       "    h3        (poly_idx) object '8244affffffffff' ... '8237b7fffffffff'\n",
+       "    air       (poly_idx, time) float64 291.9 291.0 291.3 ... 284.4 284.3 284.5"
+      ]
+     },
+     "execution_count": 67,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "aggregated.to_dataset()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 68,
+   "id": "55e08eb7-da2c-4823-bc82-d3cf5bab35fd",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th>h3</th>\n",
+       "      <th>air</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>poly_idx</th>\n",
+       "      <th>time</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"5\" valign=\"top\">0</th>\n",
+       "      <th>2013-01-01 00:00:00</th>\n",
+       "      <td>8244affffffffff</td>\n",
+       "      <td>291.928844</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2013-01-01 06:00:00</th>\n",
+       "      <td>8244affffffffff</td>\n",
+       "      <td>290.991863</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2013-01-01 12:00:00</th>\n",
+       "      <td>8244affffffffff</td>\n",
+       "      <td>291.332539</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2013-01-01 18:00:00</th>\n",
+       "      <td>8244affffffffff</td>\n",
+       "      <td>295.942891</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2013-01-02 00:00:00</th>\n",
+       "      <td>8244affffffffff</td>\n",
+       "      <td>294.423418</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"5\" valign=\"top\">733</th>\n",
+       "      <th>2014-12-30 18:00:00</th>\n",
+       "      <td>8237b7fffffffff</td>\n",
+       "      <td>284.574539</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2014-12-31 00:00:00</th>\n",
+       "      <td>8237b7fffffffff</td>\n",
+       "      <td>284.226385</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2014-12-31 06:00:00</th>\n",
+       "      <td>8237b7fffffffff</td>\n",
+       "      <td>284.443336</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2014-12-31 12:00:00</th>\n",
+       "      <td>8237b7fffffffff</td>\n",
+       "      <td>284.262802</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2014-12-31 18:00:00</th>\n",
+       "      <td>8237b7fffffffff</td>\n",
+       "      <td>284.549624</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>2143280 rows × 2 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                                           h3         air\n",
+       "poly_idx time                                            \n",
+       "0        2013-01-01 00:00:00  8244affffffffff  291.928844\n",
+       "         2013-01-01 06:00:00  8244affffffffff  290.991863\n",
+       "         2013-01-01 12:00:00  8244affffffffff  291.332539\n",
+       "         2013-01-01 18:00:00  8244affffffffff  295.942891\n",
+       "         2013-01-02 00:00:00  8244affffffffff  294.423418\n",
+       "...                                       ...         ...\n",
+       "733      2014-12-30 18:00:00  8237b7fffffffff  284.574539\n",
+       "         2014-12-31 00:00:00  8237b7fffffffff  284.226385\n",
+       "         2014-12-31 06:00:00  8237b7fffffffff  284.443336\n",
+       "         2014-12-31 12:00:00  8237b7fffffffff  284.262802\n",
+       "         2014-12-31 18:00:00  8237b7fffffffff  284.549624\n",
+       "\n",
+       "[2143280 rows x 2 columns]"
+      ]
+     },
+     "execution_count": 68,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_out = aggregated.to_dataframe()\n",
+    "df_out"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 69,
+   "id": "9916879a-6a02-4fe7-9282-4822adc0260c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "first_entries = df_out.groupby(level='poly_idx').first()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "id": "55313c47-ce1c-4014-8eaf-e05bbacd9319",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "pandas.core.frame.DataFrame"
+      ]
+     },
+     "execution_count": 27,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "type(first_entries)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 70,
+   "id": "4de7946d-2ef0-4775-af0f-918ba0a1a435",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>air</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>h3</th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>8244affffffffff</th>\n",
+       "      <td>291.928844</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>82506ffffffffff</th>\n",
+       "      <td>292.308513</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>821227fffffffff</th>\n",
+       "      <td>268.661277</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>821247fffffffff</th>\n",
+       "      <td>256.314794</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>821d97fffffffff</th>\n",
+       "      <td>277.408885</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>82379ffffffffff</th>\n",
+       "      <td>289.964278</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>822777fffffffff</th>\n",
+       "      <td>257.991575</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8244cffffffffff</th>\n",
+       "      <td>278.451939</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>820ecffffffffff</th>\n",
+       "      <td>257.945778</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8237b7fffffffff</th>\n",
+       "      <td>286.402415</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>734 rows × 1 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                        air\n",
+       "h3                         \n",
+       "8244affffffffff  291.928844\n",
+       "82506ffffffffff  292.308513\n",
+       "821227fffffffff  268.661277\n",
+       "821247fffffffff  256.314794\n",
+       "821d97fffffffff  277.408885\n",
+       "...                     ...\n",
+       "82379ffffffffff  289.964278\n",
+       "822777fffffffff  257.991575\n",
+       "8244cffffffffff  278.451939\n",
+       "820ecffffffffff  257.945778\n",
+       "8237b7fffffffff  286.402415\n",
+       "\n",
+       "[734 rows x 1 columns]"
+      ]
+     },
+     "execution_count": 70,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "fe = first_entries.set_index(\"h3\", drop=True)\n",
+    "fe"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 73,
+   "id": "6a0dd2d0-ff30-456c-bbc9-59bf2c49a82d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "air_df = gdf3x.set_index(\"h3\", drop=True).join(fe)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 74,
+   "id": "118828fa-7863-45df-be8d-71dc3f112720",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "geopandas.geodataframe.GeoDataFrame"
+      ]
+     },
+     "execution_count": 74,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "type(air_df)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 75,
+   "id": "56da4600-a42d-486a-9c42-2425a427581f",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Axes: >"
+      ]
+     },
+     "execution_count": 75,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "air_df.plot(column=\"air\", cmap=\"viridis\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 76,
+   "id": "08d2587a-084d-45d6-8b04-acb7fcfb43e9",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/javascript": [
+       "(function(root) {\n",
+       "  function now() {\n",
+       "    return new Date();\n",
+       "  }\n",
+       "\n",
+       "  var force = true;\n",
+       "  var py_version = '3.3.1'.replace('rc', '-rc.').replace('.dev', '-dev.');\n",
+       "  var reloading = false;\n",
+       "  var Bokeh = root.Bokeh;\n",
+       "\n",
+       "  if (typeof (root._bokeh_timeout) === \"undefined\" || force) {\n",
+       "    root._bokeh_timeout = Date.now() + 5000;\n",
+       "    root._bokeh_failed_load = false;\n",
+       "  }\n",
+       "\n",
+       "  function run_callbacks() {\n",
+       "    try {\n",
+       "      root._bokeh_onload_callbacks.forEach(function(callback) {\n",
+       "        if (callback != null)\n",
+       "          callback();\n",
+       "      });\n",
+       "    } finally {\n",
+       "      delete root._bokeh_onload_callbacks;\n",
+       "    }\n",
+       "    console.debug(\"Bokeh: all callbacks have finished\");\n",
+       "  }\n",
+       "\n",
+       "  function load_libs(css_urls, js_urls, js_modules, js_exports, callback) {\n",
+       "    if (css_urls == null) css_urls = [];\n",
+       "    if (js_urls == null) js_urls = [];\n",
+       "    if (js_modules == null) js_modules = [];\n",
+       "    if (js_exports == null) js_exports = {};\n",
+       "\n",
+       "    root._bokeh_onload_callbacks.push(callback);\n",
+       "\n",
+       "    if (root._bokeh_is_loading > 0) {\n",
+       "      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n",
+       "      return null;\n",
+       "    }\n",
+       "    if (js_urls.length === 0 && js_modules.length === 0 && Object.keys(js_exports).length === 0) {\n",
+       "      run_callbacks();\n",
+       "      return null;\n",
+       "    }\n",
+       "    if (!reloading) {\n",
+       "      console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
+       "    }\n",
+       "\n",
+       "    function on_load() {\n",
+       "      root._bokeh_is_loading--;\n",
+       "      if (root._bokeh_is_loading === 0) {\n",
+       "        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n",
+       "        run_callbacks()\n",
+       "      }\n",
+       "    }\n",
+       "    window._bokeh_on_load = on_load\n",
+       "\n",
+       "    function on_error() {\n",
+       "      console.error(\"failed to load \" + url);\n",
+       "    }\n",
+       "\n",
+       "    var skip = [];\n",
+       "    if (window.requirejs) {\n",
+       "      window.requirejs.config({'packages': {}, 'paths': {'jspanel': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/jspanel', 'jspanel-modal': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/modal/jspanel.modal', 'jspanel-tooltip': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/tooltip/jspanel.tooltip', 'jspanel-hint': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/hint/jspanel.hint', 'jspanel-layout': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/layout/jspanel.layout', 'jspanel-contextmenu': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/contextmenu/jspanel.contextmenu', 'jspanel-dock': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/dock/jspanel.dock', 'gridstack': 'https://cdn.jsdelivr.net/npm/gridstack@7.2.3/dist/gridstack-all', 'notyf': 'https://cdn.jsdelivr.net/npm/notyf@3/notyf.min'}, 'shim': {'jspanel': {'exports': 'jsPanel'}, 'gridstack': {'exports': 'GridStack'}}});\n",
+       "      require([\"jspanel\"], function(jsPanel) {\n",
+       "\twindow.jsPanel = jsPanel\n",
+       "\ton_load()\n",
+       "      })\n",
+       "      require([\"jspanel-modal\"], function() {\n",
+       "\ton_load()\n",
+       "      })\n",
+       "      require([\"jspanel-tooltip\"], function() {\n",
+       "\ton_load()\n",
+       "      })\n",
+       "      require([\"jspanel-hint\"], function() {\n",
+       "\ton_load()\n",
+       "      })\n",
+       "      require([\"jspanel-layout\"], function() {\n",
+       "\ton_load()\n",
+       "      })\n",
+       "      require([\"jspanel-contextmenu\"], function() {\n",
+       "\ton_load()\n",
+       "      })\n",
+       "      require([\"jspanel-dock\"], function() {\n",
+       "\ton_load()\n",
+       "      })\n",
+       "      require([\"gridstack\"], function(GridStack) {\n",
+       "\twindow.GridStack = GridStack\n",
+       "\ton_load()\n",
+       "      })\n",
+       "      require([\"notyf\"], function() {\n",
+       "\ton_load()\n",
+       "      })\n",
+       "      root._bokeh_is_loading = css_urls.length + 9;\n",
+       "    } else {\n",
+       "      root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length + Object.keys(js_exports).length;\n",
+       "    }\n",
+       "\n",
+       "    var existing_stylesheets = []\n",
+       "    var links = document.getElementsByTagName('link')\n",
+       "    for (var i = 0; i < links.length; i++) {\n",
+       "      var link = links[i]\n",
+       "      if (link.href != null) {\n",
+       "\texisting_stylesheets.push(link.href)\n",
+       "      }\n",
+       "    }\n",
+       "    for (var i = 0; i < css_urls.length; i++) {\n",
+       "      var url = css_urls[i];\n",
+       "      if (existing_stylesheets.indexOf(url) !== -1) {\n",
+       "\ton_load()\n",
+       "\tcontinue;\n",
+       "      }\n",
+       "      const element = document.createElement(\"link\");\n",
+       "      element.onload = on_load;\n",
+       "      element.onerror = on_error;\n",
+       "      element.rel = \"stylesheet\";\n",
+       "      element.type = \"text/css\";\n",
+       "      element.href = url;\n",
+       "      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n",
+       "      document.body.appendChild(element);\n",
+       "    }    if (((window['jsPanel'] !== undefined) && (!(window['jsPanel'] instanceof HTMLElement))) || window.requirejs) {\n",
+       "      var urls = ['https://cdn.holoviz.org/panel/1.3.2/dist/bundled/floatpanel/jspanel4@4.12.0/dist/jspanel.js', 'https://cdn.holoviz.org/panel/1.3.2/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/modal/jspanel.modal.js', 'https://cdn.holoviz.org/panel/1.3.2/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/tooltip/jspanel.tooltip.js', 'https://cdn.holoviz.org/panel/1.3.2/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/hint/jspanel.hint.js', 'https://cdn.holoviz.org/panel/1.3.2/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/layout/jspanel.layout.js', 'https://cdn.holoviz.org/panel/1.3.2/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/contextmenu/jspanel.contextmenu.js', 'https://cdn.holoviz.org/panel/1.3.2/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/dock/jspanel.dock.js'];\n",
+       "      for (var i = 0; i < urls.length; i++) {\n",
+       "        skip.push(urls[i])\n",
+       "      }\n",
+       "    }    if (((window['GridStack'] !== undefined) && (!(window['GridStack'] instanceof HTMLElement))) || window.requirejs) {\n",
+       "      var urls = ['https://cdn.holoviz.org/panel/1.3.2/dist/bundled/gridstack/gridstack@7.2.3/dist/gridstack-all.js'];\n",
+       "      for (var i = 0; i < urls.length; i++) {\n",
+       "        skip.push(urls[i])\n",
+       "      }\n",
+       "    }    if (((window['Notyf'] !== undefined) && (!(window['Notyf'] instanceof HTMLElement))) || window.requirejs) {\n",
+       "      var urls = ['https://cdn.holoviz.org/panel/1.3.2/dist/bundled/notificationarea/notyf@3/notyf.min.js'];\n",
+       "      for (var i = 0; i < urls.length; i++) {\n",
+       "        skip.push(urls[i])\n",
+       "      }\n",
+       "    }    var existing_scripts = []\n",
+       "    var scripts = document.getElementsByTagName('script')\n",
+       "    for (var i = 0; i < scripts.length; i++) {\n",
+       "      var script = scripts[i]\n",
+       "      if (script.src != null) {\n",
+       "\texisting_scripts.push(script.src)\n",
+       "      }\n",
+       "    }\n",
+       "    for (var i = 0; i < js_urls.length; i++) {\n",
+       "      var url = js_urls[i];\n",
+       "      if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n",
+       "\tif (!window.requirejs) {\n",
+       "\t  on_load();\n",
+       "\t}\n",
+       "\tcontinue;\n",
+       "      }\n",
+       "      var element = document.createElement('script');\n",
+       "      element.onload = on_load;\n",
+       "      element.onerror = on_error;\n",
+       "      element.async = false;\n",
+       "      element.src = url;\n",
+       "      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
+       "      document.head.appendChild(element);\n",
+       "    }\n",
+       "    for (var i = 0; i < js_modules.length; i++) {\n",
+       "      var url = js_modules[i];\n",
+       "      if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n",
+       "\tif (!window.requirejs) {\n",
+       "\t  on_load();\n",
+       "\t}\n",
+       "\tcontinue;\n",
+       "      }\n",
+       "      var element = document.createElement('script');\n",
+       "      element.onload = on_load;\n",
+       "      element.onerror = on_error;\n",
+       "      element.async = false;\n",
+       "      element.src = url;\n",
+       "      element.type = \"module\";\n",
+       "      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
+       "      document.head.appendChild(element);\n",
+       "    }\n",
+       "    for (const name in js_exports) {\n",
+       "      var url = js_exports[name];\n",
+       "      if (skip.indexOf(url) >= 0 || root[name] != null) {\n",
+       "\tif (!window.requirejs) {\n",
+       "\t  on_load();\n",
+       "\t}\n",
+       "\tcontinue;\n",
+       "      }\n",
+       "      var element = document.createElement('script');\n",
+       "      element.onerror = on_error;\n",
+       "      element.async = false;\n",
+       "      element.type = \"module\";\n",
+       "      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
+       "      element.textContent = `\n",
+       "      import ${name} from \"${url}\"\n",
+       "      window.${name} = ${name}\n",
+       "      window._bokeh_on_load()\n",
+       "      `\n",
+       "      document.head.appendChild(element);\n",
+       "    }\n",
+       "    if (!js_urls.length && !js_modules.length) {\n",
+       "      on_load()\n",
+       "    }\n",
+       "  };\n",
+       "\n",
+       "  function inject_raw_css(css) {\n",
+       "    const element = document.createElement(\"style\");\n",
+       "    element.appendChild(document.createTextNode(css));\n",
+       "    document.body.appendChild(element);\n",
+       "  }\n",
+       "\n",
+       "  var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.3.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.3.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.3.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.3.1.min.js\", \"https://cdn.holoviz.org/panel/1.3.2/dist/panel.min.js\", \"https://cdn.jsdelivr.net/npm/@holoviz/geoviews@1.11.0/dist/geoviews.min.js\"];\n",
+       "  var js_modules = [];\n",
+       "  var js_exports = {};\n",
+       "  var css_urls = [];\n",
+       "  var inline_js = [    function(Bokeh) {\n",
+       "      Bokeh.set_log_level(\"info\");\n",
+       "    },\n",
+       "function(Bokeh) {} // ensure no trailing comma for IE\n",
+       "  ];\n",
+       "\n",
+       "  function run_inline_js() {\n",
+       "    if ((root.Bokeh !== undefined) || (force === true)) {\n",
+       "      for (var i = 0; i < inline_js.length; i++) {\n",
+       "\ttry {\n",
+       "          inline_js[i].call(root, root.Bokeh);\n",
+       "\t} catch(e) {\n",
+       "\t  if (!reloading) {\n",
+       "\t    throw e;\n",
+       "\t  }\n",
+       "\t}\n",
+       "      }\n",
+       "      // Cache old bokeh versions\n",
+       "      if (Bokeh != undefined && !reloading) {\n",
+       "\tvar NewBokeh = root.Bokeh;\n",
+       "\tif (Bokeh.versions === undefined) {\n",
+       "\t  Bokeh.versions = new Map();\n",
+       "\t}\n",
+       "\tif (NewBokeh.version !== Bokeh.version) {\n",
+       "\t  Bokeh.versions.set(NewBokeh.version, NewBokeh)\n",
+       "\t}\n",
+       "\troot.Bokeh = Bokeh;\n",
+       "      }} else if (Date.now() < root._bokeh_timeout) {\n",
+       "      setTimeout(run_inline_js, 100);\n",
+       "    } else if (!root._bokeh_failed_load) {\n",
+       "      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
+       "      root._bokeh_failed_load = true;\n",
+       "    }\n",
+       "    root._bokeh_is_initializing = false\n",
+       "  }\n",
+       "\n",
+       "  function load_or_wait() {\n",
+       "    // Implement a backoff loop that tries to ensure we do not load multiple\n",
+       "    // versions of Bokeh and its dependencies at the same time.\n",
+       "    // In recent versions we use the root._bokeh_is_initializing flag\n",
+       "    // to determine whether there is an ongoing attempt to initialize\n",
+       "    // bokeh, however for backward compatibility we also try to ensure\n",
+       "    // that we do not start loading a newer (Panel>=1.0 and Bokeh>3) version\n",
+       "    // before older versions are fully initialized.\n",
+       "    if (root._bokeh_is_initializing && Date.now() > root._bokeh_timeout) {\n",
+       "      root._bokeh_is_initializing = false;\n",
+       "      root._bokeh_onload_callbacks = undefined;\n",
+       "      console.log(\"Bokeh: BokehJS was loaded multiple times but one version failed to initialize.\");\n",
+       "      load_or_wait();\n",
+       "    } else if (root._bokeh_is_initializing || (typeof root._bokeh_is_initializing === \"undefined\" && root._bokeh_onload_callbacks !== undefined)) {\n",
+       "      setTimeout(load_or_wait, 100);\n",
+       "    } else {\n",
+       "      root._bokeh_is_initializing = true\n",
+       "      root._bokeh_onload_callbacks = []\n",
+       "      var bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n",
+       "      if (!reloading && !bokeh_loaded) {\n",
+       "\troot.Bokeh = undefined;\n",
+       "      }\n",
+       "      load_libs(css_urls, js_urls, js_modules, js_exports, function() {\n",
+       "\tconsole.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n",
+       "\trun_inline_js();\n",
+       "      });\n",
+       "    }\n",
+       "  }\n",
+       "  // Give older versions of the autoload script a head-start to ensure\n",
+       "  // they initialize before we start loading newer version.\n",
+       "  setTimeout(load_or_wait, 100)\n",
+       "}(window));"
+      ],
+      "application/vnd.holoviews_load.v0+json": "(function(root) {\n  function now() {\n    return new Date();\n  }\n\n  var force = true;\n  var py_version = '3.3.1'.replace('rc', '-rc.').replace('.dev', '-dev.');\n  var reloading = false;\n  var Bokeh = root.Bokeh;\n\n  if (typeof (root._bokeh_timeout) === \"undefined\" || force) {\n    root._bokeh_timeout = Date.now() + 5000;\n    root._bokeh_failed_load = false;\n  }\n\n  function run_callbacks() {\n    try {\n      root._bokeh_onload_callbacks.forEach(function(callback) {\n        if (callback != null)\n          callback();\n      });\n    } finally {\n      delete root._bokeh_onload_callbacks;\n    }\n    console.debug(\"Bokeh: all callbacks have finished\");\n  }\n\n  function load_libs(css_urls, js_urls, js_modules, js_exports, callback) {\n    if (css_urls == null) css_urls = [];\n    if (js_urls == null) js_urls = [];\n    if (js_modules == null) js_modules = [];\n    if (js_exports == null) js_exports = {};\n\n    root._bokeh_onload_callbacks.push(callback);\n\n    if (root._bokeh_is_loading > 0) {\n      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n      return null;\n    }\n    if (js_urls.length === 0 && js_modules.length === 0 && Object.keys(js_exports).length === 0) {\n      run_callbacks();\n      return null;\n    }\n    if (!reloading) {\n      console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n    }\n\n    function on_load() {\n      root._bokeh_is_loading--;\n      if (root._bokeh_is_loading === 0) {\n        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n        run_callbacks()\n      }\n    }\n    window._bokeh_on_load = on_load\n\n    function on_error() {\n      console.error(\"failed to load \" + url);\n    }\n\n    var skip = [];\n    if (window.requirejs) {\n      window.requirejs.config({'packages': {}, 'paths': {'jspanel': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/jspanel', 'jspanel-modal': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/modal/jspanel.modal', 'jspanel-tooltip': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/tooltip/jspanel.tooltip', 'jspanel-hint': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/hint/jspanel.hint', 'jspanel-layout': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/layout/jspanel.layout', 'jspanel-contextmenu': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/contextmenu/jspanel.contextmenu', 'jspanel-dock': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/dock/jspanel.dock', 'gridstack': 'https://cdn.jsdelivr.net/npm/gridstack@7.2.3/dist/gridstack-all', 'notyf': 'https://cdn.jsdelivr.net/npm/notyf@3/notyf.min'}, 'shim': {'jspanel': {'exports': 'jsPanel'}, 'gridstack': {'exports': 'GridStack'}}});\n      require([\"jspanel\"], function(jsPanel) {\n\twindow.jsPanel = jsPanel\n\ton_load()\n      })\n      require([\"jspanel-modal\"], function() {\n\ton_load()\n      })\n      require([\"jspanel-tooltip\"], function() {\n\ton_load()\n      })\n      require([\"jspanel-hint\"], function() {\n\ton_load()\n      })\n      require([\"jspanel-layout\"], function() {\n\ton_load()\n      })\n      require([\"jspanel-contextmenu\"], function() {\n\ton_load()\n      })\n      require([\"jspanel-dock\"], function() {\n\ton_load()\n      })\n      require([\"gridstack\"], function(GridStack) {\n\twindow.GridStack = GridStack\n\ton_load()\n      })\n      require([\"notyf\"], function() {\n\ton_load()\n      })\n      root._bokeh_is_loading = css_urls.length + 9;\n    } else {\n      root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length + Object.keys(js_exports).length;\n    }\n\n    var existing_stylesheets = []\n    var links = document.getElementsByTagName('link')\n    for (var i = 0; i < links.length; i++) {\n      var link = links[i]\n      if (link.href != null) {\n\texisting_stylesheets.push(link.href)\n      }\n    }\n    for (var i = 0; i < css_urls.length; i++) {\n      var url = css_urls[i];\n      if (existing_stylesheets.indexOf(url) !== -1) {\n\ton_load()\n\tcontinue;\n      }\n      const element = document.createElement(\"link\");\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.rel = \"stylesheet\";\n      element.type = \"text/css\";\n      element.href = url;\n      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n      document.body.appendChild(element);\n    }    if (((window['jsPanel'] !== undefined) && (!(window['jsPanel'] instanceof HTMLElement))) || window.requirejs) {\n      var urls = ['https://cdn.holoviz.org/panel/1.3.2/dist/bundled/floatpanel/jspanel4@4.12.0/dist/jspanel.js', 'https://cdn.holoviz.org/panel/1.3.2/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/modal/jspanel.modal.js', 'https://cdn.holoviz.org/panel/1.3.2/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/tooltip/jspanel.tooltip.js', 'https://cdn.holoviz.org/panel/1.3.2/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/hint/jspanel.hint.js', 'https://cdn.holoviz.org/panel/1.3.2/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/layout/jspanel.layout.js', 'https://cdn.holoviz.org/panel/1.3.2/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/contextmenu/jspanel.contextmenu.js', 'https://cdn.holoviz.org/panel/1.3.2/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/dock/jspanel.dock.js'];\n      for (var i = 0; i < urls.length; i++) {\n        skip.push(urls[i])\n      }\n    }    if (((window['GridStack'] !== undefined) && (!(window['GridStack'] instanceof HTMLElement))) || window.requirejs) {\n      var urls = ['https://cdn.holoviz.org/panel/1.3.2/dist/bundled/gridstack/gridstack@7.2.3/dist/gridstack-all.js'];\n      for (var i = 0; i < urls.length; i++) {\n        skip.push(urls[i])\n      }\n    }    if (((window['Notyf'] !== undefined) && (!(window['Notyf'] instanceof HTMLElement))) || window.requirejs) {\n      var urls = ['https://cdn.holoviz.org/panel/1.3.2/dist/bundled/notificationarea/notyf@3/notyf.min.js'];\n      for (var i = 0; i < urls.length; i++) {\n        skip.push(urls[i])\n      }\n    }    var existing_scripts = []\n    var scripts = document.getElementsByTagName('script')\n    for (var i = 0; i < scripts.length; i++) {\n      var script = scripts[i]\n      if (script.src != null) {\n\texisting_scripts.push(script.src)\n      }\n    }\n    for (var i = 0; i < js_urls.length; i++) {\n      var url = js_urls[i];\n      if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n\tif (!window.requirejs) {\n\t  on_load();\n\t}\n\tcontinue;\n      }\n      var element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.async = false;\n      element.src = url;\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n    for (var i = 0; i < js_modules.length; i++) {\n      var url = js_modules[i];\n      if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n\tif (!window.requirejs) {\n\t  on_load();\n\t}\n\tcontinue;\n      }\n      var element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.async = false;\n      element.src = url;\n      element.type = \"module\";\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n    for (const name in js_exports) {\n      var url = js_exports[name];\n      if (skip.indexOf(url) >= 0 || root[name] != null) {\n\tif (!window.requirejs) {\n\t  on_load();\n\t}\n\tcontinue;\n      }\n      var element = document.createElement('script');\n      element.onerror = on_error;\n      element.async = false;\n      element.type = \"module\";\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      element.textContent = `\n      import ${name} from \"${url}\"\n      window.${name} = ${name}\n      window._bokeh_on_load()\n      `\n      document.head.appendChild(element);\n    }\n    if (!js_urls.length && !js_modules.length) {\n      on_load()\n    }\n  };\n\n  function inject_raw_css(css) {\n    const element = document.createElement(\"style\");\n    element.appendChild(document.createTextNode(css));\n    document.body.appendChild(element);\n  }\n\n  var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.3.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.3.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.3.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.3.1.min.js\", \"https://cdn.holoviz.org/panel/1.3.2/dist/panel.min.js\", \"https://cdn.jsdelivr.net/npm/@holoviz/geoviews@1.11.0/dist/geoviews.min.js\"];\n  var js_modules = [];\n  var js_exports = {};\n  var css_urls = [];\n  var inline_js = [    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\nfunction(Bokeh) {} // ensure no trailing comma for IE\n  ];\n\n  function run_inline_js() {\n    if ((root.Bokeh !== undefined) || (force === true)) {\n      for (var i = 0; i < inline_js.length; i++) {\n\ttry {\n          inline_js[i].call(root, root.Bokeh);\n\t} catch(e) {\n\t  if (!reloading) {\n\t    throw e;\n\t  }\n\t}\n      }\n      // Cache old bokeh versions\n      if (Bokeh != undefined && !reloading) {\n\tvar NewBokeh = root.Bokeh;\n\tif (Bokeh.versions === undefined) {\n\t  Bokeh.versions = new Map();\n\t}\n\tif (NewBokeh.version !== Bokeh.version) {\n\t  Bokeh.versions.set(NewBokeh.version, NewBokeh)\n\t}\n\troot.Bokeh = Bokeh;\n      }} else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(run_inline_js, 100);\n    } else if (!root._bokeh_failed_load) {\n      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n      root._bokeh_failed_load = true;\n    }\n    root._bokeh_is_initializing = false\n  }\n\n  function load_or_wait() {\n    // Implement a backoff loop that tries to ensure we do not load multiple\n    // versions of Bokeh and its dependencies at the same time.\n    // In recent versions we use the root._bokeh_is_initializing flag\n    // to determine whether there is an ongoing attempt to initialize\n    // bokeh, however for backward compatibility we also try to ensure\n    // that we do not start loading a newer (Panel>=1.0 and Bokeh>3) version\n    // before older versions are fully initialized.\n    if (root._bokeh_is_initializing && Date.now() > root._bokeh_timeout) {\n      root._bokeh_is_initializing = false;\n      root._bokeh_onload_callbacks = undefined;\n      console.log(\"Bokeh: BokehJS was loaded multiple times but one version failed to initialize.\");\n      load_or_wait();\n    } else if (root._bokeh_is_initializing || (typeof root._bokeh_is_initializing === \"undefined\" && root._bokeh_onload_callbacks !== undefined)) {\n      setTimeout(load_or_wait, 100);\n    } else {\n      root._bokeh_is_initializing = true\n      root._bokeh_onload_callbacks = []\n      var bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n      if (!reloading && !bokeh_loaded) {\n\troot.Bokeh = undefined;\n      }\n      load_libs(css_urls, js_urls, js_modules, js_exports, function() {\n\tconsole.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n\trun_inline_js();\n      });\n    }\n  }\n  // Give older versions of the autoload script a head-start to ensure\n  // they initialize before we start loading newer version.\n  setTimeout(load_or_wait, 100)\n}(window));"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/javascript": [
+       "\n",
+       "if ((window.PyViz === undefined) || (window.PyViz instanceof HTMLElement)) {\n",
+       "  window.PyViz = {comms: {}, comm_status:{}, kernels:{}, receivers: {}, plot_index: []}\n",
+       "}\n",
+       "\n",
+       "\n",
+       "    function JupyterCommManager() {\n",
+       "    }\n",
+       "\n",
+       "    JupyterCommManager.prototype.register_target = function(plot_id, comm_id, msg_handler) {\n",
+       "      if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n",
+       "        var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n",
+       "        comm_manager.register_target(comm_id, function(comm) {\n",
+       "          comm.on_msg(msg_handler);\n",
+       "        });\n",
+       "      } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n",
+       "        window.PyViz.kernels[plot_id].registerCommTarget(comm_id, function(comm) {\n",
+       "          comm.onMsg = msg_handler;\n",
+       "        });\n",
+       "      } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n",
+       "        google.colab.kernel.comms.registerTarget(comm_id, (comm) => {\n",
+       "          var messages = comm.messages[Symbol.asyncIterator]();\n",
+       "          function processIteratorResult(result) {\n",
+       "            var message = result.value;\n",
+       "            console.log(message)\n",
+       "            var content = {data: message.data, comm_id};\n",
+       "            var buffers = []\n",
+       "            for (var buffer of message.buffers || []) {\n",
+       "              buffers.push(new DataView(buffer))\n",
+       "            }\n",
+       "            var metadata = message.metadata || {};\n",
+       "            var msg = {content, buffers, metadata}\n",
+       "            msg_handler(msg);\n",
+       "            return messages.next().then(processIteratorResult);\n",
+       "          }\n",
+       "          return messages.next().then(processIteratorResult);\n",
+       "        })\n",
+       "      }\n",
+       "    }\n",
+       "\n",
+       "    JupyterCommManager.prototype.get_client_comm = function(plot_id, comm_id, msg_handler) {\n",
+       "      if (comm_id in window.PyViz.comms) {\n",
+       "        return window.PyViz.comms[comm_id];\n",
+       "      } else if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n",
+       "        var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n",
+       "        var comm = comm_manager.new_comm(comm_id, {}, {}, {}, comm_id);\n",
+       "        if (msg_handler) {\n",
+       "          comm.on_msg(msg_handler);\n",
+       "        }\n",
+       "      } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n",
+       "        var comm = window.PyViz.kernels[plot_id].connectToComm(comm_id);\n",
+       "        comm.open();\n",
+       "        if (msg_handler) {\n",
+       "          comm.onMsg = msg_handler;\n",
+       "        }\n",
+       "      } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n",
+       "        var comm_promise = google.colab.kernel.comms.open(comm_id)\n",
+       "        comm_promise.then((comm) => {\n",
+       "          window.PyViz.comms[comm_id] = comm;\n",
+       "          if (msg_handler) {\n",
+       "            var messages = comm.messages[Symbol.asyncIterator]();\n",
+       "            function processIteratorResult(result) {\n",
+       "              var message = result.value;\n",
+       "              var content = {data: message.data};\n",
+       "              var metadata = message.metadata || {comm_id};\n",
+       "              var msg = {content, metadata}\n",
+       "              msg_handler(msg);\n",
+       "              return messages.next().then(processIteratorResult);\n",
+       "            }\n",
+       "            return messages.next().then(processIteratorResult);\n",
+       "          }\n",
+       "        }) \n",
+       "        var sendClosure = (data, metadata, buffers, disposeOnDone) => {\n",
+       "          return comm_promise.then((comm) => {\n",
+       "            comm.send(data, metadata, buffers, disposeOnDone);\n",
+       "          });\n",
+       "        };\n",
+       "        var comm = {\n",
+       "          send: sendClosure\n",
+       "        };\n",
+       "      }\n",
+       "      window.PyViz.comms[comm_id] = comm;\n",
+       "      return comm;\n",
+       "    }\n",
+       "    window.PyViz.comm_manager = new JupyterCommManager();\n",
+       "    \n",
+       "\n",
+       "\n",
+       "var JS_MIME_TYPE = 'application/javascript';\n",
+       "var HTML_MIME_TYPE = 'text/html';\n",
+       "var EXEC_MIME_TYPE = 'application/vnd.holoviews_exec.v0+json';\n",
+       "var CLASS_NAME = 'output';\n",
+       "\n",
+       "/**\n",
+       " * Render data to the DOM node\n",
+       " */\n",
+       "function render(props, node) {\n",
+       "  var div = document.createElement(\"div\");\n",
+       "  var script = document.createElement(\"script\");\n",
+       "  node.appendChild(div);\n",
+       "  node.appendChild(script);\n",
+       "}\n",
+       "\n",
+       "/**\n",
+       " * Handle when a new output is added\n",
+       " */\n",
+       "function handle_add_output(event, handle) {\n",
+       "  var output_area = handle.output_area;\n",
+       "  var output = handle.output;\n",
+       "  if ((output.data == undefined) || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n",
+       "    return\n",
+       "  }\n",
+       "  var id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n",
+       "  var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n",
+       "  if (id !== undefined) {\n",
+       "    var nchildren = toinsert.length;\n",
+       "    var html_node = toinsert[nchildren-1].children[0];\n",
+       "    html_node.innerHTML = output.data[HTML_MIME_TYPE];\n",
+       "    var scripts = [];\n",
+       "    var nodelist = html_node.querySelectorAll(\"script\");\n",
+       "    for (var i in nodelist) {\n",
+       "      if (nodelist.hasOwnProperty(i)) {\n",
+       "        scripts.push(nodelist[i])\n",
+       "      }\n",
+       "    }\n",
+       "\n",
+       "    scripts.forEach( function (oldScript) {\n",
+       "      var newScript = document.createElement(\"script\");\n",
+       "      var attrs = [];\n",
+       "      var nodemap = oldScript.attributes;\n",
+       "      for (var j in nodemap) {\n",
+       "        if (nodemap.hasOwnProperty(j)) {\n",
+       "          attrs.push(nodemap[j])\n",
+       "        }\n",
+       "      }\n",
+       "      attrs.forEach(function(attr) { newScript.setAttribute(attr.name, attr.value) });\n",
+       "      newScript.appendChild(document.createTextNode(oldScript.innerHTML));\n",
+       "      oldScript.parentNode.replaceChild(newScript, oldScript);\n",
+       "    });\n",
+       "    if (JS_MIME_TYPE in output.data) {\n",
+       "      toinsert[nchildren-1].children[1].textContent = output.data[JS_MIME_TYPE];\n",
+       "    }\n",
+       "    output_area._hv_plot_id = id;\n",
+       "    if ((window.Bokeh !== undefined) && (id in Bokeh.index)) {\n",
+       "      window.PyViz.plot_index[id] = Bokeh.index[id];\n",
+       "    } else {\n",
+       "      window.PyViz.plot_index[id] = null;\n",
+       "    }\n",
+       "  } else if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n",
+       "    var bk_div = document.createElement(\"div\");\n",
+       "    bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n",
+       "    var script_attrs = bk_div.children[0].attributes;\n",
+       "    for (var i = 0; i < script_attrs.length; i++) {\n",
+       "      toinsert[toinsert.length - 1].childNodes[1].setAttribute(script_attrs[i].name, script_attrs[i].value);\n",
+       "    }\n",
+       "    // store reference to server id on output_area\n",
+       "    output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n",
+       "  }\n",
+       "}\n",
+       "\n",
+       "/**\n",
+       " * Handle when an output is cleared or removed\n",
+       " */\n",
+       "function handle_clear_output(event, handle) {\n",
+       "  var id = handle.cell.output_area._hv_plot_id;\n",
+       "  var server_id = handle.cell.output_area._bokeh_server_id;\n",
+       "  if (((id === undefined) || !(id in PyViz.plot_index)) && (server_id !== undefined)) { return; }\n",
+       "  var comm = window.PyViz.comm_manager.get_client_comm(\"hv-extension-comm\", \"hv-extension-comm\", function () {});\n",
+       "  if (server_id !== null) {\n",
+       "    comm.send({event_type: 'server_delete', 'id': server_id});\n",
+       "    return;\n",
+       "  } else if (comm !== null) {\n",
+       "    comm.send({event_type: 'delete', 'id': id});\n",
+       "  }\n",
+       "  delete PyViz.plot_index[id];\n",
+       "  if ((window.Bokeh !== undefined) & (id in window.Bokeh.index)) {\n",
+       "    var doc = window.Bokeh.index[id].model.document\n",
+       "    doc.clear();\n",
+       "    const i = window.Bokeh.documents.indexOf(doc);\n",
+       "    if (i > -1) {\n",
+       "      window.Bokeh.documents.splice(i, 1);\n",
+       "    }\n",
+       "  }\n",
+       "}\n",
+       "\n",
+       "/**\n",
+       " * Handle kernel restart event\n",
+       " */\n",
+       "function handle_kernel_cleanup(event, handle) {\n",
+       "  delete PyViz.comms[\"hv-extension-comm\"];\n",
+       "  window.PyViz.plot_index = {}\n",
+       "}\n",
+       "\n",
+       "/**\n",
+       " * Handle update_display_data messages\n",
+       " */\n",
+       "function handle_update_output(event, handle) {\n",
+       "  handle_clear_output(event, {cell: {output_area: handle.output_area}})\n",
+       "  handle_add_output(event, handle)\n",
+       "}\n",
+       "\n",
+       "function register_renderer(events, OutputArea) {\n",
+       "  function append_mime(data, metadata, element) {\n",
+       "    // create a DOM node to render to\n",
+       "    var toinsert = this.create_output_subarea(\n",
+       "    metadata,\n",
+       "    CLASS_NAME,\n",
+       "    EXEC_MIME_TYPE\n",
+       "    );\n",
+       "    this.keyboard_manager.register_events(toinsert);\n",
+       "    // Render to node\n",
+       "    var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n",
+       "    render(props, toinsert[0]);\n",
+       "    element.append(toinsert);\n",
+       "    return toinsert\n",
+       "  }\n",
+       "\n",
+       "  events.on('output_added.OutputArea', handle_add_output);\n",
+       "  events.on('output_updated.OutputArea', handle_update_output);\n",
+       "  events.on('clear_output.CodeCell', handle_clear_output);\n",
+       "  events.on('delete.Cell', handle_clear_output);\n",
+       "  events.on('kernel_ready.Kernel', handle_kernel_cleanup);\n",
+       "\n",
+       "  OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n",
+       "    safe: true,\n",
+       "    index: 0\n",
+       "  });\n",
+       "}\n",
+       "\n",
+       "if (window.Jupyter !== undefined) {\n",
+       "  try {\n",
+       "    var events = require('base/js/events');\n",
+       "    var OutputArea = require('notebook/js/outputarea').OutputArea;\n",
+       "    if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n",
+       "      register_renderer(events, OutputArea);\n",
+       "    }\n",
+       "  } catch(err) {\n",
+       "  }\n",
+       "}\n"
+      ],
+      "application/vnd.holoviews_load.v0+json": "\nif ((window.PyViz === undefined) || (window.PyViz instanceof HTMLElement)) {\n  window.PyViz = {comms: {}, comm_status:{}, kernels:{}, receivers: {}, plot_index: []}\n}\n\n\n    function JupyterCommManager() {\n    }\n\n    JupyterCommManager.prototype.register_target = function(plot_id, comm_id, msg_handler) {\n      if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n        var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n        comm_manager.register_target(comm_id, function(comm) {\n          comm.on_msg(msg_handler);\n        });\n      } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n        window.PyViz.kernels[plot_id].registerCommTarget(comm_id, function(comm) {\n          comm.onMsg = msg_handler;\n        });\n      } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n        google.colab.kernel.comms.registerTarget(comm_id, (comm) => {\n          var messages = comm.messages[Symbol.asyncIterator]();\n          function processIteratorResult(result) {\n            var message = result.value;\n            console.log(message)\n            var content = {data: message.data, comm_id};\n            var buffers = []\n            for (var buffer of message.buffers || []) {\n              buffers.push(new DataView(buffer))\n            }\n            var metadata = message.metadata || {};\n            var msg = {content, buffers, metadata}\n            msg_handler(msg);\n            return messages.next().then(processIteratorResult);\n          }\n          return messages.next().then(processIteratorResult);\n        })\n      }\n    }\n\n    JupyterCommManager.prototype.get_client_comm = function(plot_id, comm_id, msg_handler) {\n      if (comm_id in window.PyViz.comms) {\n        return window.PyViz.comms[comm_id];\n      } else if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n        var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n        var comm = comm_manager.new_comm(comm_id, {}, {}, {}, comm_id);\n        if (msg_handler) {\n          comm.on_msg(msg_handler);\n        }\n      } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n        var comm = window.PyViz.kernels[plot_id].connectToComm(comm_id);\n        comm.open();\n        if (msg_handler) {\n          comm.onMsg = msg_handler;\n        }\n      } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n        var comm_promise = google.colab.kernel.comms.open(comm_id)\n        comm_promise.then((comm) => {\n          window.PyViz.comms[comm_id] = comm;\n          if (msg_handler) {\n            var messages = comm.messages[Symbol.asyncIterator]();\n            function processIteratorResult(result) {\n              var message = result.value;\n              var content = {data: message.data};\n              var metadata = message.metadata || {comm_id};\n              var msg = {content, metadata}\n              msg_handler(msg);\n              return messages.next().then(processIteratorResult);\n            }\n            return messages.next().then(processIteratorResult);\n          }\n        }) \n        var sendClosure = (data, metadata, buffers, disposeOnDone) => {\n          return comm_promise.then((comm) => {\n            comm.send(data, metadata, buffers, disposeOnDone);\n          });\n        };\n        var comm = {\n          send: sendClosure\n        };\n      }\n      window.PyViz.comms[comm_id] = comm;\n      return comm;\n    }\n    window.PyViz.comm_manager = new JupyterCommManager();\n    \n\n\nvar JS_MIME_TYPE = 'application/javascript';\nvar HTML_MIME_TYPE = 'text/html';\nvar EXEC_MIME_TYPE = 'application/vnd.holoviews_exec.v0+json';\nvar CLASS_NAME = 'output';\n\n/**\n * Render data to the DOM node\n */\nfunction render(props, node) {\n  var div = document.createElement(\"div\");\n  var script = document.createElement(\"script\");\n  node.appendChild(div);\n  node.appendChild(script);\n}\n\n/**\n * Handle when a new output is added\n */\nfunction handle_add_output(event, handle) {\n  var output_area = handle.output_area;\n  var output = handle.output;\n  if ((output.data == undefined) || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n    return\n  }\n  var id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n  var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n  if (id !== undefined) {\n    var nchildren = toinsert.length;\n    var html_node = toinsert[nchildren-1].children[0];\n    html_node.innerHTML = output.data[HTML_MIME_TYPE];\n    var scripts = [];\n    var nodelist = html_node.querySelectorAll(\"script\");\n    for (var i in nodelist) {\n      if (nodelist.hasOwnProperty(i)) {\n        scripts.push(nodelist[i])\n      }\n    }\n\n    scripts.forEach( function (oldScript) {\n      var newScript = document.createElement(\"script\");\n      var attrs = [];\n      var nodemap = oldScript.attributes;\n      for (var j in nodemap) {\n        if (nodemap.hasOwnProperty(j)) {\n          attrs.push(nodemap[j])\n        }\n      }\n      attrs.forEach(function(attr) { newScript.setAttribute(attr.name, attr.value) });\n      newScript.appendChild(document.createTextNode(oldScript.innerHTML));\n      oldScript.parentNode.replaceChild(newScript, oldScript);\n    });\n    if (JS_MIME_TYPE in output.data) {\n      toinsert[nchildren-1].children[1].textContent = output.data[JS_MIME_TYPE];\n    }\n    output_area._hv_plot_id = id;\n    if ((window.Bokeh !== undefined) && (id in Bokeh.index)) {\n      window.PyViz.plot_index[id] = Bokeh.index[id];\n    } else {\n      window.PyViz.plot_index[id] = null;\n    }\n  } else if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n    var bk_div = document.createElement(\"div\");\n    bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n    var script_attrs = bk_div.children[0].attributes;\n    for (var i = 0; i < script_attrs.length; i++) {\n      toinsert[toinsert.length - 1].childNodes[1].setAttribute(script_attrs[i].name, script_attrs[i].value);\n    }\n    // store reference to server id on output_area\n    output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n  }\n}\n\n/**\n * Handle when an output is cleared or removed\n */\nfunction handle_clear_output(event, handle) {\n  var id = handle.cell.output_area._hv_plot_id;\n  var server_id = handle.cell.output_area._bokeh_server_id;\n  if (((id === undefined) || !(id in PyViz.plot_index)) && (server_id !== undefined)) { return; }\n  var comm = window.PyViz.comm_manager.get_client_comm(\"hv-extension-comm\", \"hv-extension-comm\", function () {});\n  if (server_id !== null) {\n    comm.send({event_type: 'server_delete', 'id': server_id});\n    return;\n  } else if (comm !== null) {\n    comm.send({event_type: 'delete', 'id': id});\n  }\n  delete PyViz.plot_index[id];\n  if ((window.Bokeh !== undefined) & (id in window.Bokeh.index)) {\n    var doc = window.Bokeh.index[id].model.document\n    doc.clear();\n    const i = window.Bokeh.documents.indexOf(doc);\n    if (i > -1) {\n      window.Bokeh.documents.splice(i, 1);\n    }\n  }\n}\n\n/**\n * Handle kernel restart event\n */\nfunction handle_kernel_cleanup(event, handle) {\n  delete PyViz.comms[\"hv-extension-comm\"];\n  window.PyViz.plot_index = {}\n}\n\n/**\n * Handle update_display_data messages\n */\nfunction handle_update_output(event, handle) {\n  handle_clear_output(event, {cell: {output_area: handle.output_area}})\n  handle_add_output(event, handle)\n}\n\nfunction register_renderer(events, OutputArea) {\n  function append_mime(data, metadata, element) {\n    // create a DOM node to render to\n    var toinsert = this.create_output_subarea(\n    metadata,\n    CLASS_NAME,\n    EXEC_MIME_TYPE\n    );\n    this.keyboard_manager.register_events(toinsert);\n    // Render to node\n    var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n    render(props, toinsert[0]);\n    element.append(toinsert);\n    return toinsert\n  }\n\n  events.on('output_added.OutputArea', handle_add_output);\n  events.on('output_updated.OutputArea', handle_update_output);\n  events.on('clear_output.CodeCell', handle_clear_output);\n  events.on('delete.Cell', handle_clear_output);\n  events.on('kernel_ready.Kernel', handle_kernel_cleanup);\n\n  OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n    safe: true,\n    index: 0\n  });\n}\n\nif (window.Jupyter !== undefined) {\n  try {\n    var events = require('base/js/events');\n    var OutputArea = require('notebook/js/outputarea').OutputArea;\n    if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n      register_renderer(events, OutputArea);\n    }\n  } catch(err) {\n  }\n}\n"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<style>*[data-root-id],\n",
+       "*[data-root-id] > * {\n",
+       "  box-sizing: border-box;\n",
+       "  font-family: var(--jp-ui-font-family);\n",
+       "  font-size: var(--jp-ui-font-size1);\n",
+       "  color: var(--vscode-editor-foreground, var(--jp-ui-font-color1));\n",
+       "}\n",
+       "\n",
+       "/* Override VSCode background color */\n",
+       ".cell-output-ipywidget-background:has(\n",
+       "    > .cell-output-ipywidget-background > .lm-Widget > *[data-root-id]\n",
+       "  ),\n",
+       ".cell-output-ipywidget-background:has(> .lm-Widget > *[data-root-id]) {\n",
+       "  background-color: transparent !important;\n",
+       "}\n",
+       "</style>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.holoviews_exec.v0+json": "",
+      "text/html": [
+       "<div id='p1005'>\n",
+       "  <div id=\"e666d025-288f-441c-ad76-91120b6878e8\" data-root-id=\"p1005\" style=\"display: contents;\"></div>\n",
+       "</div>\n",
+       "<script type=\"application/javascript\">(function(root) {\n",
+       "  var docs_json = {\"aa1398c8-560f-4839-82ed-9984b2ce7ace\":{\"version\":\"3.3.1\",\"title\":\"Bokeh Application\",\"roots\":[{\"type\":\"object\",\"name\":\"panel.models.browser.BrowserInfo\",\"id\":\"p1005\"},{\"type\":\"object\",\"name\":\"panel.models.comm_manager.CommManager\",\"id\":\"p1006\",\"attributes\":{\"plot_id\":\"p1005\",\"comm_id\":\"a369c80fc45644bf854d390c41eb7896\",\"client_comm_id\":\"32f6b3c27fa1411a96f3260055c2bbb0\"}}],\"defs\":[{\"type\":\"model\",\"name\":\"ReactiveHTML1\"},{\"type\":\"model\",\"name\":\"FlexBox1\",\"properties\":[{\"name\":\"align_content\",\"kind\":\"Any\",\"default\":\"flex-start\"},{\"name\":\"align_items\",\"kind\":\"Any\",\"default\":\"flex-start\"},{\"name\":\"flex_direction\",\"kind\":\"Any\",\"default\":\"row\"},{\"name\":\"flex_wrap\",\"kind\":\"Any\",\"default\":\"wrap\"},{\"name\":\"justify_content\",\"kind\":\"Any\",\"default\":\"flex-start\"}]},{\"type\":\"model\",\"name\":\"FloatPanel1\",\"properties\":[{\"name\":\"config\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"contained\",\"kind\":\"Any\",\"default\":true},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"right-top\"},{\"name\":\"offsetx\",\"kind\":\"Any\",\"default\":null},{\"name\":\"offsety\",\"kind\":\"Any\",\"default\":null},{\"name\":\"theme\",\"kind\":\"Any\",\"default\":\"primary\"},{\"name\":\"status\",\"kind\":\"Any\",\"default\":\"normalized\"}]},{\"type\":\"model\",\"name\":\"GridStack1\",\"properties\":[{\"name\":\"mode\",\"kind\":\"Any\",\"default\":\"warn\"},{\"name\":\"ncols\",\"kind\":\"Any\",\"default\":null},{\"name\":\"nrows\",\"kind\":\"Any\",\"default\":null},{\"name\":\"allow_resize\",\"kind\":\"Any\",\"default\":true},{\"name\":\"allow_drag\",\"kind\":\"Any\",\"default\":true},{\"name\":\"state\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"drag1\",\"properties\":[{\"name\":\"slider_width\",\"kind\":\"Any\",\"default\":5},{\"name\":\"slider_color\",\"kind\":\"Any\",\"default\":\"black\"},{\"name\":\"value\",\"kind\":\"Any\",\"default\":50}]},{\"type\":\"model\",\"name\":\"click1\",\"properties\":[{\"name\":\"terminal_output\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"debug_name\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"clears\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"toggle_value1\",\"properties\":[{\"name\":\"active_icons\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"options\",\"kind\":\"Any\",\"default\":{\"type\":\"map\",\"entries\":[[\"favorite\",\"heart\"]]}},{\"name\":\"value\",\"kind\":\"Any\",\"default\":[]},{\"name\":\"_reactions\",\"kind\":\"Any\",\"default\":[]},{\"name\":\"_base_url\",\"kind\":\"Any\",\"default\":\"https://tabler-icons.io/static/tabler-icons/icons/\"}]},{\"type\":\"model\",\"name\":\"copy_to_clipboard1\",\"properties\":[{\"name\":\"value\",\"kind\":\"Any\",\"default\":null},{\"name\":\"fill\",\"kind\":\"Any\",\"default\":\"none\"}]},{\"type\":\"model\",\"name\":\"FastWrapper1\",\"properties\":[{\"name\":\"object\",\"kind\":\"Any\",\"default\":null},{\"name\":\"style\",\"kind\":\"Any\",\"default\":null}]},{\"type\":\"model\",\"name\":\"NotificationAreaBase1\",\"properties\":[{\"name\":\"js_events\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"bottom-right\"},{\"name\":\"_clear\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"NotificationArea1\",\"properties\":[{\"name\":\"js_events\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"notifications\",\"kind\":\"Any\",\"default\":[]},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"bottom-right\"},{\"name\":\"_clear\",\"kind\":\"Any\",\"default\":0},{\"name\":\"types\",\"kind\":\"Any\",\"default\":[{\"type\":\"map\",\"entries\":[[\"type\",\"warning\"],[\"background\",\"#ffc107\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-exclamation-triangle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]},{\"type\":\"map\",\"entries\":[[\"type\",\"info\"],[\"background\",\"#007bff\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-info-circle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]}]}]},{\"type\":\"model\",\"name\":\"Notification\",\"properties\":[{\"name\":\"background\",\"kind\":\"Any\",\"default\":null},{\"name\":\"duration\",\"kind\":\"Any\",\"default\":3000},{\"name\":\"icon\",\"kind\":\"Any\",\"default\":null},{\"name\":\"message\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"notification_type\",\"kind\":\"Any\",\"default\":null},{\"name\":\"_destroyed\",\"kind\":\"Any\",\"default\":false}]},{\"type\":\"model\",\"name\":\"TemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"BootstrapTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"MaterialTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]}]}};\n",
+       "  var render_items = [{\"docid\":\"aa1398c8-560f-4839-82ed-9984b2ce7ace\",\"roots\":{\"p1005\":\"e666d025-288f-441c-ad76-91120b6878e8\"},\"root_ids\":[\"p1005\"]}];\n",
+       "  var docs = Object.values(docs_json)\n",
+       "  if (!docs) {\n",
+       "    return\n",
+       "  }\n",
+       "  const py_version = docs[0].version.replace('rc', '-rc.').replace('.dev', '-dev.')\n",
+       "  function embed_document(root) {\n",
+       "    var Bokeh = get_bokeh(root)\n",
+       "    Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
+       "    for (const render_item of render_items) {\n",
+       "      for (const root_id of render_item.root_ids) {\n",
+       "\tconst id_el = document.getElementById(root_id)\n",
+       "\tif (id_el.children.length && (id_el.children[0].className === 'bk-root')) {\n",
+       "\t  const root_el = id_el.children[0]\n",
+       "\t  root_el.id = root_el.id + '-rendered'\n",
+       "\t}\n",
+       "      }\n",
+       "    }\n",
+       "  }\n",
+       "  function get_bokeh(root) {\n",
+       "    if (root.Bokeh === undefined) {\n",
+       "      return null\n",
+       "    } else if (root.Bokeh.version !== py_version) {\n",
+       "      if (root.Bokeh.versions === undefined || !root.Bokeh.versions.has(py_version)) {\n",
+       "\treturn null\n",
+       "      }\n",
+       "      return root.Bokeh.versions.get(py_version);\n",
+       "    } else if (root.Bokeh.version === py_version) {\n",
+       "      return root.Bokeh\n",
+       "    }\n",
+       "    return null\n",
+       "  }\n",
+       "  function is_loaded(root) {\n",
+       "    var Bokeh = get_bokeh(root)\n",
+       "    return (Bokeh != null && Bokeh.Panel !== undefined)\n",
+       "  }\n",
+       "  if (is_loaded(root)) {\n",
+       "    embed_document(root);\n",
+       "  } else {\n",
+       "    var attempts = 0;\n",
+       "    var timer = setInterval(function(root) {\n",
+       "      if (is_loaded(root)) {\n",
+       "        clearInterval(timer);\n",
+       "        embed_document(root);\n",
+       "      } else if (document.readyState == \"complete\") {\n",
+       "        attempts++;\n",
+       "        if (attempts > 200) {\n",
+       "          clearInterval(timer);\n",
+       "\t  var Bokeh = get_bokeh(root)\n",
+       "\t  if (Bokeh == null || Bokeh.Panel == null) {\n",
+       "            console.warn(\"Panel: ERROR: Unable to run Panel code because Bokeh or Panel library is missing\");\n",
+       "\t  } else {\n",
+       "\t    console.warn(\"Panel: WARNING: Attempting to render but not all required libraries could be resolved.\")\n",
+       "\t    embed_document(root)\n",
+       "\t  }\n",
+       "        }\n",
+       "      }\n",
+       "    }, 25, root)\n",
+       "  }\n",
+       "})(window);</script>"
+      ]
+     },
+     "metadata": {
+      "application/vnd.holoviews_exec.v0+json": {
+       "id": "p1005"
+      }
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "\n",
+       "<div class=\"logo-block\">\n",
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+       "\n",
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+       "\n",
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+       "5nK5CQAQMtXznCRJePpEbwOAZhzHX4ix/wHzzC/tu64gcwAAAABJRU5ErkJggg=='\n",
+       "       style='height:15px; border-radius:12px; display: inline-block; float: left'></img>\n",
+       "  \n",
+       "\n",
+       "\n",
+       "</div>\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import geoviews as gv\n",
+    "import geoviews.feature as gf\n",
+    "from geoviews import opts, tile_sources as gvts\n",
+    "\n",
+    "\n",
+    "import matplotlib.pyplot as plt\n",
+    "%matplotlib inline\n",
+    "\n",
+    "gv.extension('matplotlib')\n",
+    "\n",
+    "gv.output(fig='png', size=300)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 77,
+   "id": "2edba153-183a-4ff5-aac6-1699e055ab00",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "\n",
+    "earth_polyview = gv.Polygons(\n",
+    "    air_df, vdims=['air']\n",
+    ").opts( projection=ccrs.Orthographic(-90, 30) )\n",
+    "\n",
+    "\n",
+    "\n",
+    "# test geoviews orthographic view\n",
+    "img = earth_polyview.opts(\n",
+    "    projection=ccrs.Orthographic(-90, 30), global_extent=False, edgecolor='None',\n",
+    "    xaxis=None, yaxis=None, show_grid=True,\n",
+    "    show_frame=True, colorbar=True, fig_size=300, color='air', cmap='viridis' ) * gf.coastline"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 78,
+   "id": "41909039-f7d3-4bcc-aa25-ff8c36f4f202",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<img 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XFxTJ06lcDAQH7++Wf69+9fKkJbUFCAuro6EomEu3fv0rhxY7S0tLhz5w43btygadOmeHp6snv3bj777DOmTp1aYZcIeJl2NXnyZAYMGMAPP/zwUXkcy/k4+ViF7j/Jz8+nTZs2/PHHHwwfPpybN29iZmZGYmIi7du3JywsjJUrVwIwd+5cALp168aiRYuqpaBWLnTlVCuCIHD8+HGWLl3Kzz//TL9+/Sq0T3BwMLdu3UJPT4/Hjx9z+vRpLl26VCZqkp6eTnBwMEFBQUycOJGJEyeycuVKdHR0quuUymX37t3MmDEDQRAYOnQo06ZN4/nz53z33XcEBARUuZemRCIhLi6OpKQksrKyKC4uRklJCV1dXUxMTDA3N69S7+CPrWHE6ygsLOTBgwc0atTojY1F3oYgCDx9+pScnJxSLg1VQW5uLgkJCSQmJsoeGRkZjB07tlQh5uTJkwkODmbjxo1kZWVx5coV9u3bx9WrV8tEAD09PWnRokWV+jQXFBSQmZlJeno6GRkZSCQSdHV1MTAwwMDAAC0trY8m6isIAlevXmXVqlU8f/6c6dOnM3r06Arn016+fJlffvmFwMBAxo4dy7hx48rcNOTl5eHt7c1nn31W5n3Oz8/nwIEDMi/f8+fPV/jzV1RUxMqVK7l69Sp//PHHJ28RJ6d6cWusyr1LNe+X3bBlSSnXkLFjxzJ27NhS25SUlODm5kZ4eDiTJk1i9erV6OnpkZmZKdtGX1+fjIwMJk+eTMuWLRk2bBgAo0ePpkePHnz99ddVPnf57aOcaiMxMZFJkyaho6PDjRs33hgNFASBoKAg/v77b/7++2/y8vLo2rUrOTk55ObmkpqaSnZ2NomJiRgZGaGsrIxYLCYgIIBmzZrh6upKRkYGGzZsID8/H3V1dcLCwggPD+fPP/+kU6dO1XquI0eOpGvXrqirq2NgYEBmZiYdOnRg165dVSJyi4uLiY2NlQnbkpIS1NXVMTQ0pEmTJhgZGVVrWoGJiQmhoaHY2dl9tC2ACwoKePDgAY6OjhgZGb3XsUQiEba2tjx79gxfX1/c3Nze+/1NSEhg5syZnDx5EnNzc8zMzGQPiURCy5YtOX/+PI0bNwaQRT6cnJwAaNOmDXXr1qV9+5dFIa+ez8zMlPkOVyWv/Hxfrb68KlpMT0/nyZMnsmVKQ0NDjIyM0NbW/mDCVyQS0bVrV7p27Yq3tzerV69m2bJlzJ49m0mTJsnSEl5Ht27d6NatG0+ePOH333/HycmJLl268P3339O6dWtEIhGamprY29vj5+dH8+bNS52rhoYGBgYGREVFERwczIIFC1i3bl2F5q6qqsqiRYvo168fEyZMoGPHjsyfP/+TbS4jp3oRACnSt25X1RgbG781oquoqIifnx+ZmZn06dOHoKCg125bXoy1ur4/5EJXTpUjCAK7d+9m48aNrF69+o0J5hKJhIMHD7JmzRpyc3P5+uuv2b17N82bN5cJC09PTxYvXszw4cNJTU0lPT0dGxsbJkyYgKqqKo0aNcLU1JR58+Yxfvx41q1bR0hICCKRiOTkZGxtbWvkvP8ZATp69CjNmzenS5cu73SsVxHb+Ph4srKykEqlaGhoYGxsjKOjY413W1JUVMTc3JyYmBisra1rdOyK8ErkOjk5VamVW4MGDd5b7EokEn799VdWrVrFuHHjSE1NLRNplEgkeHp6cuTIEYYNG4a1tbVsWTwmJkaWrjB69Gi0tLTo2LEjy5cvZ+zYsYSFhdVIjqeCgoIsh9fGxgZBEMjNzeXFixc8e/aM7OxsNDU1MTY2xsjI6INFfJs3b87x48cJCQlh7ty5bNq0iaVLlzJ06NC3/v0aNWrE5s2bWbFiBXv27GHUqFGoqqpib2+PkZERhYWF1K5dG09PT0aNGlXqWuvTpw8hISGsWrWqwl3d/omTkxO3bt3i119/pU2bNmzatImWLVtW+jhy5Hxo9PT0ZDfkpqamJCYmylIXXq201a5dm9jYWNk+cXFxmJubV8t85KkLcqqUyMhIxo8fT8OGDVmxYsVri81KSko4cuQIixcvxszMjIULF9KhQ4cK/TC+qqaPj4/n0qVLnDhxgq+++qrU8y4uLjRt2pQuXbq8s9n7+7B+/XpiY2PZsGFDhbaXSqWkpKQQHR1Neno6EolEJmzr1q37UbQRFYvF3Llzh9atW39U+ZrVJXL/SXh4uKyjWmXF7tSpU/Hx8WHPnj2vFaQLFixg2bJlLFq0iBUrVtCzZ0+UlJQ4duwY8PL6+Odn48GDB7Rs2ZKFCxfi7u5Ox44d3/3kqohXwjctLY3U1FTy8vLQ0dHBxMQEExOTDxahvH37NjNnzqSwsJA1a9bQtWvXCu8rlUq5f/8+sbGxpKamoqSkhL29PTExMSxcuJBRo0Yxbdq0Uu3Jb926xbfffkuTJk1YtWrVO91oh4eHM378eJycnFi2bNk7W5rJ+e/h2lgVz4s129wGoP0Xb47opqamoqysjJ6eHgUFBXTt2pXZs2dz69YtDA0NZcVo6enprFmzhuDgYIYMGSIrRuvUqRPPnj2rnhVDQY6cKkAikQi//vqr4OrqKty+ffu125WUlAiHDx8W7OzshNatWwseHh6CVCqt1FhisVi4fv26UFRUJAiCICQnJwu//PKL8OeffwoBAQGCWCx+r3N5X7Kzs4VGjRoJhw4dKvV8YWGhcPz4ceHMmTNCWlqakJeXJwQGBgrXrl0Tzpw5I1y8eFHw8fERUlNTP9DM305cXJzw8OHDSv/NqouCggLhxo0bQlpaWrWP9fTp00qfu1gsFkxMTIR9+/a9dpvz588LgKCsrCzMnj1b2LlzpxAXFycIgiDcunVL0NPTEzIzM0vtk5CQIKipqQl79+4V6tevL3z33XdCbGzsu51YNSGVSoWMjAwhLCxMuHPnjnDr1i0hODhYSE1NFUpKSmp8LseOHRMaNGggdO7cWXj06NF7HS8xMVG4fv26MHjwYKFWrVrCb7/9JhQWFspeLygoEFavXi0YGRkJEyZMECIiIio9RklJibBt2zbBxcVFuHbt2nvNV85/BxdnZSErvnaNP9zc3N44L39/f8HFxUVwcnISHBwchMWLFwuCIAhpaWlCx44dhfr16wsdO3YUXrx4Idtn2bJlQr169YSGDRsKFy5cqLb3TB7RlfPehISEMH78eNq0acPPP/9cbj6cVCrlxIkTLFq0CC0tLZYsWUKXLl0qvLQp/F8lvIeHB/Xq1cPBweGjXEIXBIEBAwagq6vLzp07Zc9HRUXRrFkzevXqhYuLCyYmJqipqWFsbIyFhQWWlpafTMX148ePMTAw+OBdxIqKivDy8sLe3r7GWquGhYWRm5uLq6trha7d+/fvM3HiRFRVVfHy8ip3m/nz57Nt2zb27dtHz549KzQPQRC4e/cudevWRVNTkzVr1rBjxw6+/fZb5syZ816FeNWFWCwmLS1N1phES0sLU1NTTE1NayzaKxaL2bFjB0uXLuXzzz9n/fr1paKxlcHX1xczMzNSU1OZP38+oaGhXLx4sVTUPi0tjbVr17Jr1y7atm3L1KlTadeuXaVSOuLi4pg4cSImJib88ssvn2wrcTlVQ5PGKly/WPOf7y5f1Kqw68LHhlzoynlniouLWbNmDefPn2fLli00adKkzDaCIHDq1CkWLVqEiooKS5YsoXv37m/8ok9MTGTr1q2cOnWK/Px8mfE9vCzc2LJlC1999dVHU/H9T9atW8eRI0e4ffs2ampqSCQSoqOjiYqKIiMjA01NTUxMTPjtt9+oW7cuS5cu/dBTrjTlNeeoacRiMffv38fOzq7G5/DkyROKiopo3LjxW6/BCRMmUFBQwPbt26s03ePJkyeUlJSU6g6WmJjIypUrOXjwIGPGjGHs2LGV8natSQRBICcnh+TkZJKTkxEEQWaBVxNFbdnZ2UybNo3bt2+zf//+d8qFLSoq4v79+zJ/6Z07d7Jw4cJShYKvyMvLY9++fWzatAmpVMrIkSP55ptvKpyTKAgCR44cYdWqVSxevJivvvqq0vOV899ALnQrj1zoynknfHx8mDRpEn369GH69Onl+lbeu3ePH374geLiYpYsWULv3r3f+gN27949vvzyS/r378+3336LgYEBKioqaGhoMGbMGDp06MCQIUM+yojV/v37mTVrFnfu3KGoqIj4+HgKCwvR1NTEwsKCWbNmIZFIMDIyIjw8nOvXr3+yldWvfuSrwuGgskgkEry8vLCxsalSP+aKIvyf/R2Ag4PDG6/pM2fOsGHDBm7cuFFl478q/HpdVDkmJob169dz+PBhGjRowPDhw+nfv/9H1aHv3xQXF5OcnExiYiL5+fkYGxtTq1YtDAwMqlX0njhxgokTJzJ+/Hjmz59f6RbJISEhaGpqylY3jhw5wsSJE+nXrx+zZs0qk5MtCAL3799n9+7dHD9+nClTprBw4cIKn2NqairTpk0jNzeX7du3Y2pqWqn5yvn0cWmsgseFmlnB+ifdvjSTC105/39QUFDAwoUL8fb2Ztu2beUWWkRFRTF79mzu3bvHihUrKlTtDC9F7ldffcX+/fvLODUIgsDkyZPR0dFhwIAB5UaPPyQbN24kMjKSTp06IQgCurq6WFpaYmlpKTv3nJwcDh06RExMDFOnTv0oxXpleOVZa2tr+06NGd6FkpISHjx4gKWlZSnP2ZpGEAT8/f1RU1PDzs7utdvl5eVha2vLyJEjWbhw4XulpwiCwJMnT8jPz6+Qt69YLOby5cvs27ePK1eu0LVrVzp27EjDhg1p2LAhFhYWH+WqSElJCampqSQmJpKZmYmBgQHm5uYYGhpWi4VeYmIiI0eOJCMjgwMHDlTKwaK4uJi7d+/i7u4uK6JJS0tj8+bN/P7773To0IHZs2fj5uZWZt+UlBS6d+9Oy5Yt2bRpU6WKcAYOHMj58+fZuHEjI0eO/Cj/jnKqB5fGKly5ULPBBYCeX5rLha6c/z5RUVEMGjSIoUOHMmnSpDI/OtnZ2axYsYIdO3Ywbdo0pk+f/lbTdKlUypUrV9iyZQv37t3jwIEDdO/evcx2GzZsIDU1lS+++OKjsdwpLCzk6dOnBAUFoaKigp6eHvb29tSqVeuTaZX7vhQXF/Pw4UNMTU2xsbGp1h9cqVQqG6smWjq/DUEQ8PX1ldlt/Zvnz58zYMAAtLS08PT0lD1fp04djh07RvPmzSs8lkQiwc/PDzU1tbdGkcsjIyODY8eO4e3tTVhYGE+ePEFbW5uIiIhKHaemkUqlvHjxgoSEBNLT02Wi18jIqEqvNUEQ+P3331m8eDEHDx6slDNDWFgYysrK1KtXr9Tzubm57Ny5k3Xr1tGoUSPmzJlTxlkmOzubL774glq1arFr165KuSuIRCJEIhE9evTg2LFjqKurV3hfOZ8ucqFbeeRCV06FuHnzJlOnTmX79u1lPCKF//PNnT9/Pj169GDZsmXl5p7l5+dz5coVTpw4gZqaGra2tvzxxx/o6OgwadIkBg8e/FphnJCQwPHjxwkKCmLLli0frGlBcXEx4eHhxMbGypo47N+/n23btv1/29FIKpUSGBhIUVERLi4u1WI9JggCfn5+aGpq0rBhwyo//r+RSCRkZWURGhrKvn37KCgooLCwkLy8PLKzs1FQUMDIyIiOHTvi4OCAjY0NderUke3r4eFBWloaU6ZMYdOmTYSGhpKdnY2npyePHz/mt99+Y8qUKRWaS3Z2No8fP6ZevXqyMd6XEydO8Msvv3Dv3r0qOV5NIAgCaWlpMtFrZGSEhYUF+vr6VSZ67969S58+fdizZ0+FCwNf2e61a9eu3Bvc4uJiDh48yOrVq9HV1WX58uV07txZ9nphYSHjx4/Hw8ODVatWMWTIkAqfz8GDBxk2bBj16tXj1q1bH3SVQ07N0LixCpc/gNDtLRe6cv6rvIp0HD16lL/++qtMTuTTp08ZO3Ys+fn5DB06lJs3b2JnZ8eECRPYvn07+/fv5/jx45w/f57169fTtGlTrl+/DsCwYcOYOHEiLVu2fOsXe2BgIIIg0KJFC/bs2cPAgQOr7Zz/jVQqJTIyksjISAoKCtDR0aFevXqMGTOGmzdv8uDBA1xcXGpsPh8rCQkJhIWFYW9vX+W5g8HBwQiC8E7RzIoiCAJ79+5l69atBAQEIBaLMTMzY+rUqRgZGaGmpoaGhga6urpIpVISExO5ePEid+/eZefOndjZ2XHs2DGWL1+OlZUVmZmZREREUFhY+E4RfkEQCA8PJzExERcXlypta52bm0uDBg2YMGEC6urqCIKAgYEBffr0qTYv4qpEKpWSmppKXFwc2dnZ1KpVi9q1a7/Wt7syeHl58cUXX7Br1y4+//zzCu0TGBgoyyt+05yPHz/O7Nmzady4MevWrSsVBb579y59+/Zl6dKlZVqrvonw8HB69+5NQUEBBw8epE2bNhXeV86nR2NnZS58AKH75VcWcqEr579HUVERkyZNAuD3338vUzh19OhRhg8fjpWVFRoaGrJWvRoaGhQWFjJs2DDi4uK4cuUK7u7ubN26lTp16uDj40Pt2rUrnNcpFovx8PBgypQpfP7556xZs6ZGIrpJSUk8e/aMzMxMNDQ0sLKywtraGgUFBT7//HMuX76Ml5cXrq6u1T6XT4XCwkICAwMRiUQ4ODhUyXJqeHg42dnZNGnSpFpE7quvwPnz53P16lWWLl1K27ZtEYlEKCkpvTVCXb9+fQ4cOEBQUBAXL15kyZIlODg4IAgC8fHx7xRlS09PJygoCGNjY2xtbaslFcbDw4Pz58+joKCASCQiOjqay5cv07lzZ7799lt69OhR6eKsD4FEIiE5OZnY2FjEYjEWFhbUrl37vVYWHj58SO/evdm6dSt9+vR56/ZZWVmEhYVVKB2lsLCQ9evXs379esaPH8+cOXNkFmevru9/Nwh5G2KxmB9//JGjR4+yePFixo8fX+F95XxaODsrc+4DCN2+cqEr579GYmIiAwcOZMCAAUyaNKncL90nT55w/PhxoqOj+eKLL+jVqxejR4+mZcuWDB06FC0tLYKDgwkKCmLAgAHvLFLOnTvHvn37cHJyYsGCBe97agiC8Nq55OfnExISQnJyMgoKCtSuXRtbW9tSP5pr1qxhy5YtHDt2jKZNm773fP6LJCcn8+TJE0xNTalfv/47C6a4uDhiY2Np0aJFtYg9qVTK559/zp07d1BSUuLvv/+uVJexixcvMm7cOMaMGYOvry/Tpk2jadOm7xxZzM3NJTQ0FIlEgqOj4zt7vL4rmZmZ/P333+zZs4fs7GwCAwNrdPz3paioSNY6W01NjTp16mBqavpO186jR4/o2bMnGzduZMCAAW/d3tPTk+bNm5frI14ecXFx/Pjjj2RlZXH58mUAZs2axd27d7l58+Y7fWbOnTvH6NGj6dWrF1u3bv2oOhjKqRrkQrfyyIWunDI8ePCAcePG8euvv9K+ffsPOpdHjx5x9OhRDh48KOsz36tXL1q2bEnz5s0r5VyQm5vLmDFjUFdXZ/fu3bLnpVIpXl5epKWlIRKJMDY2plGjRuW23X1lzH/z5k0sLCyq5Bz/q0ilUpmHsLm5OfXq1avUj3dqaiqhoaG0atWqyptpZGRk4OPjw9atW0lOTmb79u0MHz6ckydPVjgP9sKFC3z55Zds3rwZdXV15s6dy+nTp8nNzaVly5YVFjzw0pEjPDyc3Nxc7OzsaqwBxuvIzc3FwsICMzMz3NzccHV1xc3NjebNm7+1wPRjITs7m5iYGFJTUzExMaFu3bqVvnHw9/end+/eDBo0iOXLl79ROEZGRlJSUkJaWhpffvkltWvXxsbGhi5dutC7d+9yrfAKCwsxMzPj7t272NvbU1RURL9+/VBTU+Pw4cPvJHbj4+Pp3LkzWlpanD9//pN3d5FTGmdnZc58AKH79ScsdP//KA2XU2H27NnD1KlTOXXq1AcXufDSp7Rz587ExMSQlJTExo0bgZd2Xg0bNmTx4sUVOk5YWBgtWrTg9OnTKCsry4qKbt++zalTp/D39+f333/n9u3btGzZUi5yqwAFBQWsra1xd3dHVVWVu3fvEhAQQG5u7lv3zc7OJjg4mGbNmlW5yD19+jRWVlYsXryY1q1bc/78eezt7fHx8alUsde5c+eQSCRs2LCBnj17IpVKZd7C3t7eSCSSN+4vCAKpqal4e3sTEBCAubk5bdq0+eAiF0BLS4u0tDSOHj1K586diYyMZMiQISxcuPBDT63C6Ojo4OjoiLu7O3p6egQGBnLnzh1iY2MpKSmp0DEaN27M48ePCQ0NpU2bNjx//vy121pYWJCYmEjz5s357rvvCAwMxNLSkuvXr+Pg4ECzZs1YsmQJjx8/lqXLqKmpsW7dOtzd3Vm7di2KioocP36cwsJCBg8ejFgsrvR5W1hYEBgYSIMGDXBzc8PX17fSx5Dz8SIAJULNPz5l5BFdOcDLPLcZM2aQlJRUaZub6iQhIYHMzEzs7e3LvPbs2TNatmzJwoULmTRpUrl5u0VFRaxbt47169ezcuVKDA0N8fT0pHHjxmhoaPDw4UN27dpFZmYmI0aMYNiwYXTq1KnMceQi9/0RBIHk5GSZpVWdOnUwNzcv83crKCjAy8vrvVIA3oS9vT2zZs1ixIgR73WckpIS9uzZg4eHBy4uLgQHB7N3717g5bJ0XFwczZs3L7NsXlhYKHtdV1cXa2vrj76ta3FxMXXr1qVv3764ubnRuXNnLC0tP/S0Kk1+fj7R0dEkJSVhbGyMlZVVhaK8giCwadMmFi9ezODBgxk3blyZ7mfwMn2hVatWKCsr89dffzF58mS2b99O7969uXPnDmfPnuXMmTMUFBTQsWNH2aOkpIRx48aRnp7Ozp07sbe3p0+fPujq6rJ///53vtnbv38/M2bMYN26dQwbNuydjiHn48LJWZlT52s+ojuwz6cb0ZULXTm8ePGCwYMH07FjR2bPnv1RmY8/evQIa2vr13Z1CgsLY8yYMZSUlMh+IF5x7tw5pk2bhqOjI6tWrSI7O5vk5GTU1dWxsrLC0NCQrVu3ysTKv4uGpFIpN27cYPXq1URGRspFbhWSl5dHbGwsiYmJ6OjoYG5ujomJCYIgcO/ePezt7au041pKSgoXL16UXQPnz5/H09PzvYS0IAj07t2bnj17yjqR/bMY6enTpxQUFODs7ExRURHJycnEx8cjlUplBVOfQrEXvCx2WrJkCenp6bKc0rVr1773zcKHQiqVkpSURFRUFABWVlYV8r+Oi4tj586d7NixAysrK8aPH8/XX38tK7oMDg7G0NBQVmjr6+tLnz59+O677/jpp58QiUQMGDCA27dvM23aNB4/fsyNGzfQ0tJiwIABqKqqsmnTJu7fv4+lpaXMY3f37t3vXIAbFBREt27d6NevHxs2bPhg1oxyqgYnZ2VOfAChO1gudOV8qgQEBDBixAiWLVtWYd/ImuTmzZuyXvKvQyqVMmfOHDw9PfHy8iI7O5tvv/2WkJAQ1q9fj7q6Onl5eZiYmODo6FgqWh0SEoKbmxtZWVml8u/OnDnDl19+Kfv/9PT0j7qF6qeKIAhkZWURHx9PamoqhYWFmJqa0rBhQzQ0NKrkpksqlTJp0iS2bt3KV199RUZGBrVq1aJRo0bvtRR/69Ytxo4dy86dOxk/fjxBQUGlquYzMzNlNmUaGhqYmppiZmb20ayWvA/37t1jwIABxMXFfeipvDe5ublERUWRmpqKhYUFdevWfWtrbolEwrlz59i6dSu+vr588803jBs3Dj09PVJTU3F0dJRtm5SURJ8+fahTpw67d+/m5MmTfPPNNwCsWrWK6dOnExwczKBBgwgNDUVZWZkuXbpw/vx58vPz6dWrFzY2Nmzfvv2dCzLT09Pp3LkzOjo6nDx5Uv5d9gnj6KzCsQ8gdIf1+XR9dOU5uv8fc+zYMUaNGsXhw4c/SpFbUlKCSCR665e7goICcXFxDBw4kDt37tC2bVvatm3Lhg0bUFBQwMzMjF69etGiRYsyIuPOnTs0a9aslMi9fv26TORu3LgRAwMD+Q9DNSESidDT08PBwUHWAEBXV5egoCBu3ryJr68vkZGRZGZmIpVK32mMtWvX8uDBA86dO8fff/9NcnIy5ubmbNq0iY0bN5KTk0NoaCgeHh54enoSFxdHRe7/k5OTcXZ2RklJCalUytWrVwkMDMTLy4tbt24RHR2NjY0N6urq2NjYUL9+/f+EyAWIjo7+zxQ5aWlp4ejoSNu2bVFWVub+/fs8fvyYrKys1+6jpKTEV199xaVLl3jw4AGqqqq4u7szfPhwnj17RnFxsWzbWrVqcePGDdTU1OjTpw9Dhw7l6tWrAMyZM4d27drx999/y76Da9WqhaenJ1evXkVDQ4OzZ8/y9OlTRo0a9da879dhYGCAr68v48ePp1OnToSEhLzTceR8eF7m6Ipq/PEpI4/o/n+IVCrl559/xt/fnwMHDpRbePUxkJGRQVRUFE2aNHnjdklJSdSpU4eWLVvSoUMHXF1d0dHRkbXjLY/IyEimTZtGYGAgR44cKbXk7OPjg4eHBzNmzCA1NRUXFxeSkpKq9NzklCYqKoq0tDTc3NxkUVFBEMjOziY9PZ2MjAxZRzJtbW10dHTQ1tZGU1MTdXX1194MhYWF8dlnn+Hn5ycrNAsNDeXnn3/m2rVrqKurk5CQgI6ODlZWVigrK+Pr68tff/1VrqVUSUkJeXl55Obmcu/ePRISEnB0dCQ+Pp7w8HDu3buHiYkJBw4ckJ1HcXEx9+7do0mTJh/tZ62yNG/enPDwcJo1a4ajoyNNmzalb9++b42Efgq86sAWERFBSUkJNjY2mJiYvHV1obi4mJMnT5KVlcXChQsZPnw4I0eOxM7ODngZBf7ss8/47rvvZMVqr27ACwsLiYyMJCIiAj09PVasWMHPP//MF198werVq8nIyKBOnTq4u7tz69at9zq/4OBgvvnmGxYtWsQXX3zxXseSU/M4OKtw9FzNF6x+29fsk43oyoXu/2dkZWXxzTff4OTkxJIlSz7qfK2oqCikUmmZHvL/JiIigjt37qCjo4OxsTGNGzd+Y4GJVCqladOm9OrVi/nz57/RBmrnzp1s3rwZPz+/dz0NOW8hNTWVsLAwWrVq9dbrUSKRkJubS3Z2Njk5OeTl5VFQUIAgCCgpKaGmpoaamhqqqqooKyvz559/oqenx4gRI1BUVJQ1R3jVIGHBggVERkZSXFyMuro6KioquLi48OOPPyKRSCgqKqKoqIiCggKkUikKCgpoamqSn5/PgQMH0NbWZu3ataVEba1atfDy8irVqjg3NxcfH59K2459rAiCQExMDIGBgQQFBXHu3DmioqJYvHgxo0eP/tDTqzJycnKIiIggIyMDKysr6tSp89Zr1MvLC01NTfbv38/+/fuxtrZm5MiRDBw4kLNnzzJhwgSio6PR19fn2LFjLFmyBA8PD4yMjFBVVcXMzIzMzEzatGnDxYsXZZ3OdHR0GDt2bJWI0/T0dIYMGULr1q2ZP39+tXhUy6keHJxVOHKu5ldTRvatJRe6cj5+nj59ypAhQ5g9ezb9+/f/0NN5K4GBgdSqVeu1dkspKSkEBgZSUFBA7dq1cXR0rFB18qFDh/jtt9/w8vJ6Y5Tm1KlTTJgwgZs3b2Jra/va7UpKSjh//jy3b9/m7t27DB48mO+//77UNhKJhCdPnpCWlkZaWhr16tXDzc3trXP9r5OXl4e3tzetWrV6bwEoFospLCyksLCQ4uJiiouLuXTpEgCtW7empKSEkpISWVqCIAhkZGRw7do1GjVqRNOmTcnNzUVfXx91dXVUVVVRVVVFRUUFdXV1FBUVEQSBgIAAOnTowIIFC5gwYYJs3iUlJUyYMAF/f388PDzK3GxVRtB/KhQVFdGoUSOSkpLQ0tKidu3aXLx4sUIR0E+J4uJiIiMjSUhIwMLCAmtr69cWEgYEBGBhYYGhoSFisZhLly6xe/durl69ip6eHt9//z3Tp09HUVERqVTKvHnzOHDgALt376Zdu3bMnj2bEydOMGjQIJydnWnZsiXXr19nyZIlXLlyhUaNGlXJOUkkEubMmUNUVBR79uyp8eYkct4Ne2cVDp2r2hbrFWFMX1O50JXzcXPx4kXmzZvHnj17aNy48YeeToV49OgRNjY2ZZZ7Y2JiePLkCSUlJdSrV4+GDRtWOCLx7Nkz3N3dOXr0KG3btkUikXD8+HGUlZXp27evbDsPDw8GDx7MpUuX3trid8uWLWzevJkhQ4bg5OTEmDFj2LBhA8bGxigpKXHlyhX279+PtrY2ZmZmGBoa4u3tjbm5OY6OjtjZ2dGhQ4f/77qsicVi7t27R+PGjV9rr1VcXExAQECplIZXbN++nbNnz7JgwYLXtl599OgRPXr04NSpUxgbG2NjY1PqOIIg4OLiwrNnz9i8eTOjRo167Xw7derE9evXgZd2czNnzpS9VlRUxLfffktqaiqnTp16rZtDREQEWVlZuLi4/GeE4Jw5c/j111/R1NTE0tKS2NhYCgoKsLKywt3dnQkTJuDs7Pyhp1kllJSUEBMTQ3R0NEZGRrIc7H8SHh6OqqpqGU/mrKwsNDQ0yhXIV65cYcyYMbRv355Fixbx+PFjJkyYwLfffss333yDs7Mzf/zxB6tWrSI4OLhKRenBgwfZuHEjhw8ffuvqmZwPj72zCgfOlp+SV52M7WciF7pyPk4EQWD16tV4eHhw+PDhKrVsqm4ePHiAs7Oz7Ifk+fPnhIWFoaCggJ2dHVZWVpU6XlZWFk2aNGHevHkMGzaMPXv2sHbtWmrVqkVYWBi3b9/G1tYWHx8fevXqxbFjx2jXrt0bjykIAvb29mzbtg13d3cATp48yZ9//ilb9m7RogUjRowoZX1WWFiIt7c3oaGhPHnyhN27d7No0SKKi4spKiqiU6dOfPbZZ5V7wz4hBEHA29ub2rVrv9ay7dSpU0ydOpWUlBTGjBnDb7/9JruhEYvFqKioMHXqVE6cOEHnzp3ZsGFDuTmwf/zxB9OnT6egoICQkJAyEbGnT5/i4OCAoqIiUVFRr83r3rlzJ9999x3btm1j7NixsuejoqL4+uuvsba2Zv/+/W+MTAuCgL+/P9ra2tjY2Lz1ffoUEASBFy9eYGhoKBPvOTk5REZGcurUKbZt20a9evWYMGEC/fv3/2Qs1d6EVColMTGR58+fo6OjQ4MGDWSFhgkJCeTk5LxxFag8srOzWb9+PZs3b6ZPnz588803XLx4kUOHDmFpaYmmpiaXL1/G2NiYlJSUKj0fX19fRo8ezS+//ELnzp2r9Nhyqha50K08VdtySM5HRX5+PqNHj8bExIQLFy58cj8wYrEYRUVFnj59Snh4OEpKSri4uGBubv5Ox4uLiyM/P5/Y2Fisra1p2rQpe/fupU2bNmzbto0mTZpQVFSEmpoaR48efavIBdi8eTPa2tq0bdtW9lyfPn3o06fPG/dTU1PD3d1dJo7Nzc2JjIxEVVWV0NBQIiIi/tNCNzQ0FG1t7Tf6Eo8ePZr09HQaNGjAoUOHmDNnjmx7JSUlWTvakJAQZs6ciZOTE9euXSMrK4vt27fTtGlTRo4cyYQJEwgKCkJfX7+MyM3Pz+eLL76gc+fOsjzv1zFmzBiysrLYsGEDffv2xcjIiPPnzzNq1CjmzJnDtGnT3hqlFYlEODs7c+/ePVlO+aeOSCQqdQMtlUrR1NTE2dkZZ2dn5s6dy9mzZ5k1axaFhYVvjJp/KigoKGBhYYG5uTnJyck8evQITU1NGjRoIEtJqCw6OjosWrSIKVOmsH79evr06cPXX3/N7t27iY6OZu/evfz1118cPXq0ys/Hzc2Ny5cvM3DgQAIDAyt0Lcv5MAiIKEH+t6kM8ojuf5To6GgGDhzIuHHjGDly5IeeTqWRSqVcuXIFiUSCqqoqTk5Or420VZTCwkJmzZqFsrIyI0eOLOV1+QpBECgpKalQru+dO3fo168f9+/fr9Ilv99++4379+9z5MiRKjvmx4S/vz9+fn48evSILl26IAgCtWvXlrlrXLx4kTlz5sg6h82aNYvvvvuuVF7r0aNHGTJkCF27dmXTpk3Y2NgwadIk6tatS1ZWFv7+/mRkZGBqasrff//Nt99+S+PGjUulGwBMmzaNw4cP07hxY1asWFGh9JHevXvTsWNHfvjhB3R0dDh27BjdunWr1HtQWFjI/fv3adGiBRoaGpXa92Nn+PDh7N+/H4BevXrh4OCAra0tmzZt4pdffsHe3h4FBQVMTWs+z7C6eNXO+dmzZwiCgLa29nuniKWlpfHHH39w6tQpoqOjmThxItOnT69W547i4mKmTJlCQUEB27Zt+08UTv7XaOSsyu6zZjU+7uR+Rp9sRFcudP+D3Lp1i6lTp7J161Zatmz5oadTKaRSKeHh4Tx79gypVErLli1rNOoVFhZGYmIijRs3fqN37sOHD+nduzd79+6le/fu7zVmfkExCiIRamrKXL9+nU6dOnH37t3/VERXIpFw9uxZjh49SqtWrYiJiUFfX58bN25w+/Ztxo4dy6ZNm/D19aV58+acPHmSFi1asGDBAm7cuMGzZ89KHS8+Pp4TJ07g5+fH2bNnOXbsGJGRkVy5cgVNTU1cXV0ZM2YMn332Gd9//z1ubm64u7uzfPlyPvvsM7S1tblz5w5Tp05FLBbj6+tLgwYN3noeISEhuLu78+DBA2xsbOjRowe6urqMHTsWd3f3SrVqTU9PJygoiM8+++ydW7x+jEilUo4ePcqkSZNIT0/HwcEBV1dXYmNjmTp1KmPGjKF169acPn36Q0+1Wnj27BmRkZEYGhpia2tbJfm0z58/Z9myZZw/f54JEyYwfPjwak192bZtG/v37+evv/6Sd4P8yJAL3cojF7r/MbZs2cKRI0c4cuTIOy/xfyjCw8MJCwtDRUWFxo0byzxQ36dCPSsrizVr1nD8+HFCQ0PfuG10dDTNmzfHxsaGoKAgDA0N6dmzJ3369KFdu3ay1A9vb2969+7Nzp0738vqRxAEzl8JYNteT7JyCjAy0OLx3Z1EPX9M0+btWLNuK7XN9bG2NEJJ6dOs0heLxRw8eJDly5djYWHBlClTaNOmjazZwN69e1m1ahUPHz5ES0sLqVRKhw4dyMvLIzw8HHNzc44cOfLGYiYPDw8GDhyIhYUFlpaWtGnThsePHzNgwAAmTZrE1atXcXR05NKlSxw+fJj79++Tn5+PjY0N48aN49ChQ3h7ezN37lx++OGH147z9OlT2rZtyy+//CLrbJWcnMyePXs4evQocXFxMs/U3NxcHj16BLxsQNKhQ4dyjxkdHU1aWhqurq7/yaXihw8f0qNHD7y8vAgICGD8+PHs2LGDMWPGcP/+ferXr19lY0VHR5OSkkKzZs2q7JjvQnJyMunp6RgZGREWFoaGhga2trZV0iwkNDSUP/74Q/aZGjduXBXMuHzu3LnD8OHD2bdvn8ziTM6Hx85ZlT/P1PzNx5SvDeRCV86HZ8mSJYSFhfHnn39+UsbtMTExBAUFoaSkhLOzsyxFwcvLCxcXl/daPqtXrx6RkZHo6uqSmZn52u2Kiopo27YtgwYN4scff0QqlRIaGsqZM2c4ceIEz58/Z8uWLQwYMIDGjRszb948Bg0a9M7zehaRzPo/rhIcmlDmtcL8DHxvrsPOdTCGtRzYsWE4tvVrvvjgfTl69Chz5szBysqKBQsWoKmpiYWFBRYWFpSUlLB9+3Z+/vlnbty4USqNJCUlBS8vL1q2bFnh7lvp6emcPn0aLS0tunfvTvfu3YmIiEAQBKysrPjuu+/K9XcdP348e/bswcjIiMTERC5fvvzaYpy9e/dy7do12bL8v4mIiCA2NpbLly+zcuVK1NXV6dOnD3/88ccbc3/9/PzQ1dXF2tq6Quf6KSEIAhs2bGDr1q3k5ORw/vx5XF1dmTdvHrm5uWzcuLFKxvH29qZFixYoKyszYsQIVq9e/cG6GSYlJZGZmYmdnZ0spSEsLAwdHR1sbW2rJB0gPDycrl27MnLkSBYsWFAFsy6fw4cPM2HCBP7++2+6dOlSbePIqTh2zqrsOFO7xsf94Wt9udCV82FZsmQJ4eHh7N69+5Px6ExKSsLf3x+pVIqTkxO1a5f+8Pr6+tKwYcPXWjVVBFdXVxwcHDhz5gwpKSnl3gBIpVLGjRvHixcvOH78eJnIWnR0NJMnTyYmJobly5ezYMECHj169E4RuLz8InYeuMOp848okZb/0Yt8cpHcrDgaNR2OkpIqf24cQX3rT6/dqo6ODv369WP+/PkkJCQQHR3NkSNH8PT0BF7+bX788Ue++OKLaolmvmpvraOjQ0pKCllZWWUE58qVK4mPj6djx46sXbuWZ8+ekZSUVCaVICUlhW7dujFy5EimTJny2jFnzpzJX3/9xe7du+nUqVOF5llSUsK9e/dwcHDAwMCg8if6gcnPLSQyNJHk2BckxaaTFJdOUswLkmPTSU/LpvugFoSk3mTqtCmyJhpxcXE4OzvLOoG9Lx07dqRfv34MGzaMuXPncurUKT7//HOsra2pV68ednZ2NWZxFhkZiUgkKuUKIwgCiYmJPH36FGNjYxo0aFCq7fi7sHv3bkaNGsXff//N119//Z6zfj0eHh6MGDGC3bt3yx0ZPgJsndXYdqbO2zesYmZ8rfvJCl15O5T/AJ+ayH1l0v8qL7JHjx5lRC6AsrIyYrH4ncd5FWHz8fFhwYIF5YrcwsJCBg8eTGhoKLt37y4juM6cOYODgwP29vZs3bqVSZMmsWTJkjLbJeXmcDH8KY8SE4jLzqa4pKTMWNduhTBswk6On/V9rcgFMDCxpaggk8K8NAAUFD7NJe0bN27g4+PDpEmT8PHxwdPTkxEjRhAREcHPP/9MdHS0zCc0Jyen1L6nTp3Czs6OqVOnvlMFu6+vL/Xq1WPx4sXMmTOHBw8elBtVbdWqFR4eHvTt25d79+7h4+NTbr7sggULUFFRobCwkKtXr752XAMDA/Lz83n8+PFrr93U1FQOHDjA+PHj6dixI1ZWVixdupSLFy9y+vRp0tPTK32+H5KHN58wo/8m1v54iP0bLnH1b28CHzwnJSEDSXEJ5/bdI9vPhBdRxbJ9ateuTffu3dm3b1+VzKFPnz5cu3YNXV1dtmzZwoULF3BxceHFixccPXqUbt26sX379ioZ623k5+eXKTAUiUSYm5vj7u6OlpYWd+/e5dmzZ5SU8z1RUQYMGICysnIZv96qplOnTvj6+jJv3jw8PDyqdSw5cqoDeUT3E+dTErkFBQX4+PiQlZWFjY0Ntra2b2z0EB4ejoqKCpaWlu803rhx41BQUODvv//m8ePH5f4gbN68mZMnT3L+/PlylxSTk5NxdXVlxYoVLFmyhGnTppXpevZ3SBBLPW+SU1wke04E6KupY6KlhammJpZRKty89qRC8xYEKbHhN0mIvIOd61DOHF2BVR3Dyp38R8Ird4GWLVuirq5OZmYmI0eOJD4+ni1btmBvb8/UqVPx9PTk1KlTNGrUiD///JMVK1bw66+/0r9/fyIiIjAzq1jxRUlJCSKRCAcHB1q0aEF6ejr379/n4MGDdO3aVbZdbm4uY8eO5cKFCwwYMOCtIujGjRusWrUKkUhEZmYmXl5er9322bNnTJkyhejoaObNm8eAAQN4/vw5J0+e5MyZMzx58oSOHTvSqVMnGjVqhI2NDTExMTx69AgFBQUWLFhAs2bNOHv2bJlmBB8jXleDWDz2zwpt26qrIxMX98Wolh7Hjx9n165dXLhw4b3nUFBQQL169bhy5QpOTk5lXn/27Blt2rThyJEjr82Xriq8vb2xt7d/YxFaSUkJkZGRxMbGUr9+fWrXrv1OqxrHjx9n3LhxBAYGVvgz8q6kpKTQqFEjjhw5Ik9j+IDYOqnxx5m6NT7urP7a8oiunJrnUxG5EokEHx8frl27hrq6Ot27d6dRo0Zv7Wamq6tLVlbWO49raWnJhQsXsLCweO2PwNOnT+ndu/dr8+ZMTU3Zv38/I0eOZNy4caVEbmJODiNPn2DWtculRC6AAKQXFhCalsqt6CgSUyt+HiKRApYNOmJWtyWZac9Q/EQjulKpFF9fXxwdHVFXV8fX1xdXV1fq1KnD7du3adq0KRoaGuzYsYPvvvuOH3/8EXhpuD9w4ECcnJzQ19cv11ZOEARiY2PJz8/n999/x8bGBgcHB5SUlLhz5w5RUVHMmDGDM2fOcOrUKQYNGoSGhgY6OjosXLiQtLQ0rly5QmRkZIUifR06dGD16tUEBASUahZRHg0aNODChQusW7eOvXv3oq+vT9euXUlMTGTZsmWkpKRw8uRJJk+eTKdOnWQdxKZNm0aXLl3w8vLC2NiYESNGEBUV9U7vfU2iql7xJfj7V4IY22U1p/fcpl27dty5c4fi4uK37/gGAgICmDJlCsXFxZw6darcbRo0aMCRI0cYNGhQGQePqqagoOCtlnGKiorUr1+f1q1bk5WVxe3bt9+pCUS/fv1o0qQJ3t7e7zrdCmNiYsLRo0cZOnToG1c15FQvAlDyf166Nfn4lPnveNr8f8anInKfPn3K06dP0dXVpXPnzpWKUOnq6vL06dN3Hnv+/PnMnz//jdu8ePHirXPq2LEjMTExpdIr/goOZPntW2UE7ut4l2iNjoE1Cc+vcumcH3Z25tSzMcHMXP+jSWWQSCRIJJLX3iSEhYVhZGSEsbExFy9eZMiQIWzfvp3+/fuX2XbSpEmsWrWKyMhIlJWVyc7OJiYmhsTERAYPHkzjxo2ZPHmyLF/b09OTzp07IwgCPXv25MCBA6iqqrJ06VKuX7/Orl27aNeuHe3ataNly5Y8evQIExMTXrx4Qfv27XF1dSUnJ4e+fftiYGBAw4YNadKkCYmJiTx8+BAfHx8SExNp2rQprVq1wsrKivnz57Nlyxb69ev31vdGJBLRo0cPevToQWpqKkZGRhW6Bmxtbbl//z5r1qxh+fLlNGvWDGtra2bOnFnu+/YxoKpeuUY0BblFbF18kusnfWjQoAEPHjwo1XClsvj6+nL9+nVu3ryJg4PDa7fr0KEDS5YsoX///vj5+b3zeG9CKpUiCEK5N/G3bt1i0qRJnD9/nrp168q2d3R0JC8vj5CQECIjI3FwcKiUJdnIkSOZP38+3bt3r/Yi5E6dOrF9+3aGDh3KoUOH5Dm7cj4J5KkLnyCfgshNSUnB19cXRUVF3NzcMDR8t6X3Gzdu0L59+2qzXoqJiaFbt25MmDCBKVOmIJa+zJlTVij/fU3MyWHu9Svcio6q1Dhd0moR+ji+wttraahiY6zD/n0L0dOrh43Vy6VCNTVl6loZYV3PhHr1TGjiZkU9mw9TqDZ9+nR+++03GjZsiJOTE87OzvTo0QNXV1dSUlJ4/vw5LVu2RCQSERYWRo8ePWjbti3NmzenQYMG1K9fH0tLS1lO7MyZM7l69SrGxsY4OTmxePFifvzxR1q2bMn06dPx8PDAzc0NgNmzZ6OqqsrcuXNL3ajs2rWLW7dusW/fPmJjY7lz5w5XrlzB19cXb29v1NTU6Ny5M99//z2NGjUiLi6OFy9eEBISwuPHjzEzM6Np06Y0a9aMWrVq4ePjw/379/Hz82Pq1Kk18sP+Kt2jVatWKCkpce3aNaZOnUrz5s3ZvHlztTYMeBeeh8Qzude6d9q3fs8SDIz0WLx48TuPX1hYiLW1tcxG7k0IgkCtWrV4+PDhO6dEvYmMjAyioqJkzU/+ye3bt+nWrRuGhoZcunQJe3t7TExMGDBgAGvWrEFTU5MXL14QHByMgYEBtra2FepmKQgC/fr1o2HDhqxatarKz6k8Dh06xLRp0+Ri9wPQ0Emdjadr3qHlpwEan2zqgjyi+4nxsYvc/Px8vL29ycvLw8HBoVTl8bugoaFBXl5elZiul4elpSXdunXj+PHjYKjLMdUsYotzUVNUQkdFDR1l1f/7Vw1TVW0uBERUOIr7T0QVTBISIdC4vgWxz1IISUzAyX4Yvv7b0NWxxMjAlsJCMWGhiYSFJgLw+ZeuTJveo9LzqQquX7+Oh4cH+vr6BAQEEBgYSIcOHVi+fDkODg60atVKdoNia2uLt7c3e/fuJTAwkJMnTxIQEEBmZibW1tb89NNPrFixgvbt23P8+HFcXV3R1tZmx44dREdHIxKJSnWaunz5Mm3btmXPnj18++23sqXiJ0+eyNr81qlTh8GDBzNo0CC+/vprVq9ezcKFC3Fzc2PixIn88ccf5fogJyUl8ejRIy5evEh8fDyampr07t2b9u3bV/+bysv20A4ODjx69IhWrVrRvXt3Hj16xMyZM3FxcWHfvn3vFQGtCgRBICUmjaigGMIeR2FioU9KfEaljyNCgdzc3Ervd/78eX799VcMDAwwMDDAxMSEDRs2sGvXrjePJxLh7u7OrVu3ZF7IVUlaWlqpdsj/JCQkhHbt2vHNN9/QsWNH9uzZQ0FBATk5Obi4uLB3714+++wz2rZtK7tJs7a2pm7dum+80ReJRGzduhVnZ2d69epVI9fGkCFDKCoqYujQoRw8eFAudmsQAZDKs04rhVzofkJ8zCJXKpXi7+9PXFwctWvXxt3d/a05uBXBxMSE5OTkahO6AKqqquRrqjJjxnTESS+oteA7sLOisCCXlIL//QgbqmiSUyx5pzEUNJVQUlZEIn59lbWVmQFKRSUE+0bLnlNR0cSydhvCws/wwsAWM1NXdLT/l0LxoZoMPHr0iGfPntGqVStUVFRk1k2vPDc3b96Mr68vAwcOlBUBGhkZMX36dKRSKQMHDqSgoIAOHTrQs2dPunbtiiAIODo64ubmhrq6OkVFRRQUFPDFF18wZ86cUm4IvXr1IiUlhYkTJ9K7d280NDSQSqWcOnWKgwcPkpSUxO+//86pU6c4ceIE/fv35+TJkwCsXr2aL774gn79+nHy5ElMTU2xtLTExMSEI0eOcP36dZo2bYqTkxM2Njbk5eXx119/ceDAAQ4fPlyuQ0hVY2JiQlpaGk+fPpU1G9iyZQvnz59n4MCBfPvttyxatKjG/LKjgmPxuexHdHAsUSFxxITEkZ9TIHtdWU0Zx65NCQ1JfOM1/k8EQeDEqWOcPXem0vP5/fffad26NXZ2dqSnp2NhYVHhNtzt2rWrNqGbmppabjQXIDExkbS0NLp3746BgQGDBw8mPz+fjRs3cv36dfr168eECRNYsGABlpaWmJmZ8fTpU+7cufNW6zkTExP27NlD37592bZtG3379q3yc/s3r1rLf//992zevLnCdnpy3p9PPWe2ppEL3U+ERYsW8ezZM/bt2/fRidy4uDj8/f3R0NCgU6dOby3EqAxmZmb4+vq+c7vL5ORkDhw4wO7du9HR0eHUqVOlmhCkFuSS2M2FJ3cuU5JfiEhVBUlaZrnHKi6pvMjVVFLGUd+Uq7HxiFopYKKhjZGqOtooo1wE0mwJ4rQijMUqhATEIi3Hdsy8VjO0tcxJSQvm6fNzNHUZL3utpnVuXl4eCxcuZN++fWzfvr2MF2hRURG9evXCzc2Nw4cP4+zszJkzZ0pFmW7evMmlS5fYvHkzOjo63L9/n379+uHn54e+vj7FxcUUFhZSUFCAWCzmhx9+YNasWaXGWb58OY8ePcLT01MmpC9fvoyuri5GRkY4OjoycOBAvv76a/r378/8+fMpLCyU7d+6dWtu377NzZs3SU1Nld2kde/end27d5fxbp4zZw4//fQTI0aM4Nq1a1X9tpaLnZ0d9+7dw8jISJb606tXL/z8/Bg7dizNmjVj3759uLi4VPtcru67xdG1r2/ZKy4U43fmPuZ2tdGwrkXU0+S3HjO9MA51TY1Kz18QBG7fvs3q1avLdVh4G+3atePXX3+t9H5vQyqVUlxc/Nqc/4ULF5Kbm0u7du24cuUKly5domfPngQGBtK3b19at25N9+7dycjIYP369SgrK+Pg4EBOTg5BQUGoqalhb2//2pub7t27c+nSJb766iuePHnCvHnzqv1GeOTIkfTq1YsuXbqwdu3aUs4mcuR8LMiF7ifAokWL8PHx4eTJkx+VyM3Pz+fBgwcUFBTg4uJSLT3R1dTUkEqlFBYWVqij0LNnzzh8+DCPHj0iICCAtLQ0+vXrx5YtW1i6dCkbNmzA2dkZsVhM3c6tme51lhhPbwr8n1L71xkoaLx+jEKphMp8ZJwNTUnNyudh7MvcXEEQSMrLJSnvH0u1imBvZ0Ty/pjXHkckEqGjXRtNDRNue3lRUlKMouJLgVmThWm3b99m+PDhtG7dmqCgoDJdy168eEFqaiqfffYZ9vb2dOzYkWbNmrFu3bpSQrdBgwZ8//33nDhxArFYTKtWrVi8eDHNmzcvIzBLSkpee82/svrq27cvCgoKPHz4kIULF/Ljjz8yffp05s6diyAIHD16lKysLJ4/f15q/wYNGtCgQYMKnbuCggKLFi3C3Nyc8PDwKm1d+6Yx3dzc8PLyonXr1rKbChMTE06ePMn+/fvp0qULkyZNYtasWVV6g1l2LhW7zhJC4xCFxePUzZXouGzycgrL3U4iLeZ5lheDeg2otBgTiUQsX76cr7/+mrt372JoaMiZM2fYuXMnQ4cOZeDAgW88poODAxkZGSQmJlapJVdKSsobaxFEIhFr165FX1+ftm3bcvXqVSIiImStgU1NTbl+/To9evRgwoQJbN68mZs3b9KqVStatmxJYmIi9+7dw8rKCisrq3LP0c3NjQcPHsjE7s6dO6ukE9ubMDEx4YsvvmD06NHs2rVLLnarGQERJYI8daEyyN+tj5zFixfj7e3NsWPHKlSYUBNIpVICAwPx8PBAT0+P7t27V4vIfYWZmRlJSUlv3ObMmTO0a9eONm3akJGRwdChQ7l48SIZGRns3r0bd3d3TExMOH/+PMePH2fUmDH0nT2FsM0HST94EdM5I94ocgHEQgkKFfhR1lVRpamRBUHxKSRXIP+wRKhYQwRFRRUM9GyIT3ooe64mUhckEgmLFi1iwIABbNq0iQMHDpQRuWKxmICAAFxdXUulrAwcOBAPD49S0dQ6deqwYsUKTp8+zYULF1iwYAGdOnUqtwPem27smjRpQlhYGL1792bAgAEcPHiQkSNHoqyszPHjx7l69SoJCQlERUXRvHlzoqKi+PnnnwkODq7wub9qViEWi9mxYwcaGhrV7lf6T9TV1bG1tcXf359/1g2LRCKGDx/Oo0ePCAkJoUGDBpw5U/kUgIqioFjxnwpBEAi45Aupqdg5v0zzUFZRwrSuIQ2aWmHX0ZZYtUfoWZojreNKbHLlc3unTJlCv3796NatG82aNWPhwoX07NmTmTNncvTo0Tefi4ICtra27+XoUh7R0dEyN4XXIRKJmD9/Pj/88AOfffYZXl5epVJy9PX1uXr1Kk+ePMHd3Z0+ffpgYWHB0KFD8fX1pUWLFuTn53Pnzp3XWi+am5tz69YtJBIJ7du3f+t3Z2UoKCjg3LlzZZq4LF26lC5dujBmzBi59VgNIEWhxh+fMnLXhY+YxYsX8+DBA44cOVJuV6cPQVpaGg8fPkRZWZmWLVtWa+7sK151mmrdunW5r3t7e/P555+zZcsWPv/887e21swTF1NnxJeUpGcjUlNBp3trFLXfHg1TFilgo2BKWm4h6fn5lNfczNXYjOi0LDIKCsq++Brq6+ojOZhQoW3z8lN45L+T5m7fY2BgRLM2DXBqbIldw1rYWJmgrFy1Ef/o6Gi++eYbVFRU2L9/f7kiTxAEfH19MTMzk93w5OTkcOXKFe7fv8+WLVu4du0an332WZXO7XUIgsDOnTvZs2cPAQEB9OvXjz179uDn58f+/fs5evQourq6fPHFF7i5uWFrawu8bCLxKo3h0aNHPH78mLi4OBo2bEheXh4NGjRg7dq1NZIq8G9epXW8TkhdunSJSZMmER4eXi03P3t+PsLBZcffad/6M3rxOOkF/5RGMT5nUFLVxNypE2oqSkwa0JYBXZpUau6CILBixQrs7Ozo06cPIpGIOnXq4OHhgbKyMg8fPkRJSamUHVx6ejpz587l3Llz3Lp1q8oi84WFhTx8+LBShWA3b95k2LBhfPPNNyxZsqRUICM/P58BAwbQoUMHvvnmG44dO8bhw4cJCQmhb9++REZG0rdvX1mHufK+8wRBYOnSpezatYvTp0+/93X7T39gV1dXVq1aRefOnRGJRLRp04bHjx+zePFifv31V3bv3i1vKlFN1HfSYM0p2xofd8VAxU/WdUEudD9SXkVy//zzT0xNTT/0dGRNH9LS0rC3t69w4UdV8eDBA9TU1AgJCWHgwIGyqGF+fj5ubm4sWrSIgQMHVvh49Q+vpKQSl76Vtj4IEJXzMvqkIBKhr6KOroo6WkqqqIgUUStQ5V54XOVODLDW0UM4lFjh7SOirqKiXkSDxoPIzvufA4SKsiL1rI2xq18Lu4ZmNGpohnXd8ivAK8Lhw4eZMmUKM2fOZMaMGa8tLoyJieHFixdYWlpy5swZ/vrrLzw9PTE1NaW4uJiUlBR69OjBsWPH3noTUpWUlJTw5MkTBEHAyMgIIyMjlJWVkUqleHl5cfnyZR4/fszTp09RVFREW1sbfX19nJ2dcXV1pUmTJtSpU4ewsDBKSkpk1mYfAolEwp07d3Bzcys38i0IAtbW1pw9e/ad8lbfxv7Ff7Nv8Zsjpa+j7sxeBCS+KPVcRmwwiUHXadR9skzcNrW3ZMGYbpgZvdtNfXBwMI6OjhgZGaGiokLz5s25desWgYGBGBsb88cff7B8+XIGDBjA8uXLq9Sm7dmzZygrK1faZSYlJYVvv/2W7OxsDh8+/FbLs5iYGI4ePYq5uTkSiQRPT0/c3NxQVlZm4MCBaGtrc/nyZZ4/f8748eNlnSEnT57M3bt331vY//NGRENDgyFDhlBQUMDBgwcZMGAAnp6erFq1il9//ZW1a9fK3RiqARsnTVadtKvxcVcPEn2yQleeo/sRsmTJEvz8/Fi/fv1HIXLj4+Px8/NDV1eXrl271qhYeYWNjQ07d+5ky5Yt7N27l0uXLuHh4cG4cePo0qULAwYMqNTxtJRVySouP3+wFAK0MKnD47QEiqX/qyaXCgIvivJ5UZQve85F5d16zpcIQoUXhurVN8G43tccPzQbPYsOqKrryV4rFpcQ+jSJ0KdJcMEPdTVlLh//4Z3mBLBt2zZmzJhRphDsn+Tl5REYGMiWLVu4desWmpqaZGdn06JFCzp37kz79u0xNDTExcVF1uThbZw9e5bFixcjlUqxsbHhzz//LCPusrOzWbJkCa1ataJv376IRCIkEgmKioqIRCICAgIYPXo0cXFxGBgY8OLFC/Ly8ujevTuDBw+mZ8+eFY4wu7i4yJZq4+LiCAgIQFVVFRUVFQwMDN7YpKCqUFJSwsXFBT8/P1q3bl3mpkMkEtGnTx9OnTqFk5MThYWFxMfHv3MR5z/Jzy1E/B7xkPKubT0LOxL8L5Me9RhDa1cAfEJiGDJvL1OHtOOr9s6VHsfa2prz58/TuHFj2crCtGnTGDduHE+fPqV+/frcuHGjyv9egiAQHx//2hWnN/EqneqXX36hWbNmDBw4kO7du9OhQ4dyi9osLS2ZMWOG7P+/+eYbPD098ff3Z9myZRQUFHD27Fk0NDQ4e/Yse/bsoX///qSkpNCvXz+8vb3fy6njzp07tGnTBniZVmNqasrFixfx8PCgY8eOHD9+nO+//56VK1cyadIktmzZIndjqGJedUaTU3HkEd2PjCVLlhAcHMz3339P69atP5h9FEBxcTFeXl7k5OTg6upao7mJ/+b69esEBgYydOhQjI2N+fHHHzl27BhbtmyhV69elT5e29O/E5f35ra8hmoamKnpEJRRsRy3puqWPAqvfBvPFmYWGIRKEGcWkZGUy4vUnLJzMdLCuI4+geEv5/Lozm80cOqHtu7rra7U1ZW5fOzdhe7du3cZPHgwoaGh5RY6xcbGcvnyZXbv3o2RkRH37t1j8eLFjB49WvZjmpqaiqurK+np6TRs2JC4uDimTp3KTz/9BEBQUBD29vZkZmayZcsWgoODKS4uRkVFhZkzZ7Jo0SLMzMzYtm2bbFx/f3/69+9Py5Yt8fX1paSkhJycHJKSkliyZAmTJ0/G3t6eRYsWMWbMGNlnKD09nePHjzN//nwmTpzIokWLgJfX+e3btzl//jznz59n7ty5jBgxAkEQuHHjBosWLSI9PZ0LFy5ga2uLu7s7YrGY4uJioqOjcXJyYt26dTL/3urk2bNnSCSScse6ffs2gwYNYtKkSVy7dg1fX18sLCz4+uuv+fLLL3F1dX3r90lxkYTI0ASe+scQFhDL04BY4iNSkEoFGjnXJuZ+MFmVaGcNYDOjJ4+S0ss8n5saRfitfTh+MRMlldKi7jNna+aP7oq6ljIJudnE52WTmJ9DfG42CXlZaCipMMetPdoqbxZtsbGxjB49munTp9OtW7dKzbuixMXFkZGR8d6R9NDQUE6dOsWFCxeIiopi/fr1HDp0iC5dujBq1Ki3CtTAwECCg4OJjo7mhx9+YPHixezevZsrV67g4OBAjx49+OKLL5g4ceJ7zXPbtm38+uuvXLp0qdxUmhs3bjB27FjmzZvHli1bWLVqlVzsViH1nDRZdqL6b67/zfrB0k82oisXuh8RS5YsISwsjJEjR9KmTZtqr5Z9E1FRUQQFBWFsbEyzZs2qxBP3fZg2bRoSiQQtLS2CgoK4e/cuERER6Ovrv9Pxel7YyZPM14tSFwMzonIyyKxI1Pf/aKZZF98K2Cq9wkRLE3MVLYJjS89DU1GZukqaGEpVUM0HVYmIgGdJFP3DwzfwwQ4s6rljYGyLIC0hLyeJosIsiotyUNc0Qs/QBk0NFS7+Pa3C8ymP/v374+LiUqaV8qFDh7hy5QpNmjTh7NmzSKVSDh06RK1atUptl52dzZEjRzA1NaV27dooKSnRoUMHPD09WbJkCceOHWPXrl0kJydz+fJlvvrqK+bPn4+KigonT56kf//+HDt2DHd3d9kxLS0tmT17NpMmTUIsFuPv74+pqSm//vorL168wMjIiJycnFLi+BW3bt1i8ODB+Pv7Y2xszLFjx/juu++wtbWlZ8+erFu3jhs3blBYWMjcuXNJTEzk559/5vHjx3h5eREUFISPj4/MraG4uJjff/+dFStWMGjQINatW1etKx6CIHDv3j3s7OzKVPgLgsClS5e4cuUKampqLF26FB8fH44dO8b+/ftRUlKid+/efPXVV3Tv3r2U6E1PyWbRd38SGZaApPj1PrjauurUrqVF4GXfCs+5/vSe+CaXFboAkff/RkFJmbrNvirzmqOTGR4mr3cjqaOlyyb3L2libF7huVQ1UqkUT09PWrZsWaXf1zdv3mTChAmEhoYC0K1bN06ePIm6ujqnT58mPz+fdu3aYW5e+tzFYjFBQUEUFxfTuHFjjhw5wsqVK/Hx8SE0NJQ+ffrw/Pnz9/Zf/uWXX1i7di3bt2/nyy+/LPO6n58fU6ZMYfDgwezatYvVq1fLxW4VIRe6lefTLqX7D/GqGcSECRNwdnb+YCK3uLiYW7duERISQosWLWjRosUHF7kAQ4cOpaCgADc3N5ydnRk0aNA7i9xr0eEU5kF9VVMctCxoolOHZvqWNDeoS3PDurQ2scLvRWKlRC5U3IJJQSSiubkFhRnFZUQuQF6JmJCiTG6LU7imnEIiRaVELoChqQMRIWcJ8/8LL49lhPkfISnmATmZsYT5HSE+8jYZaRFs27aNKVOm0L9/f7755hvGjh3LkSNHgJf5frNnzy7liABQUiKlpOTlUn3v3r3x9/eXvSaVSvHz82PdunV89dVXbNy4EVdXV65cuVJG5ALo6OgwduxYvvzyS9zc3GjcuDF9+vShadOmNGzYkMuXL7N8+XIiIiIYOHAgU6dO5erVq+Tn59O9e3f27NkjE7mJiYlIJBJ69OhBdnY2AMrKyjRt2pQTJ05w8uRJlixZwq1bt2Rm9v8kOzubb7/9lh07dmBsbMy5c+eYNGkS169fx8vLi+7du2NmZoa9vT29e/dm1KhRhISEMGzYMNauXSuzderYsSMBAQGyOTk7O7Ny5UqOHDnCwYMHK3QNvCsikYgmTZoQGBiIWCwu81qPHj3YsGEDK1euRElJiYSEBE6dOkVxcTGKioqyG4wXL0rnzOZmF/AsMPaNIhcgJ6uAJ2GpNOzenFoNKrbCIyqvavP/qN2kJ+lRfuSnly3GlIjf7EYSm5vF1xcPsCXwPh8qXhMbG4uJiUmVf1+3b98ef39/5s2bB7z0iO7RowcbN25kwoQJHD16FEdHR+zt7blx44ZsP2VlZZo0aYK1tTX379+nc+fOdO3alYYNG3L06FHq16/PgQMH3nt+M2bM4PTp00yaNInffvutzPvv4uLCoUOHePLkCdbW1vzwww94eHi897hy/s9eDIUaf3zKyCO6HwGvRO78+fORSCQ1kvNXHjExMQQEBHw0UdzyePjwIadPn+b777+vdP5yiVTKLz53+MPvAW+66F1qGxGQUfHisFe01LXCO+TNaQ7W+vqoiBWIeE2EqzyaFusTE1BWECfH+VBSIsbAxA419f+J/sL8dML8j6CgIKLfV52wt7fHwsKCoqIiLl68iJKSEpMnT6Zv377o6ekxePBgfvrpJwRB4M7VYPb+7kFudiHtezhx0+cQfgE+GBsbExcXR0JCAvr6+vz++++kp6ezYMECbt26JXMuqAiZmZmkp6dTr149oqKicHd3p2HDhsycOVO2vNy1a1ccHBzYsGED8DIX2MTEBGVlZTQ0NEhMTEQqlSISiWSFWIMHD2bFihUYGhoSGhoqs0B71WBg2bJlWFtbs23bNqRSKZaWlhw5ckSWcxgcHEynTp1Yvnw5Bw4cKCUg4OVNYM+ePVFQUMDb2xtXV1cCAwNRVVVFWVmZRo0a8f3339OjR/W3ZI6JiSE9Pf2tlfSLFi0iICCA48ePl5u2EBUVhZWVFZGhiUzs+Uul5qCsooRtI1OCLj5E8o8bMaM6hhjVNkZFTxOJghLFuhqkmKoSm5pZ/rn4nEFZTQszx46lnq9vY8xdq4q5kbQxs2J9m96YalS/C8wrSkpK8PT0LOVxXB34+PgQHR1NTEwM58+fZ8GCBbRr1w6pVMrFixcZM2YM33//PXPmzCn1nf0quisWi9HU1GTXrl389ddfqKmp8fDhwzd2WqsokZGRfP311ygrK8tyo2fMmIEgCOzatYt+/fpx8OBBtmzZgpqaGps3b5YXqL0n1o5aLDxR9QWnb2PzEPEnG9GVF6N9YF6J3PXr1/PkyZN3Kmh4XyQSCV5eXmRlZdG8efMyHqkfE0uXLuXzzz+vdOOM1Pw8JnucxSsx9q3bKitU3qKrsYE5oempGFioYqisgZaCKsqCIhKJlNzCYrIKirDW1sMvIoGSN0S4ykNBqfwbDtPaTct9Xk3DgMatJlLX0pA587+kfu3/OS8EBASwceNGrly5wtatWwkNDSU7Oxvfe+Hs3niVZyH/ExYnD9wnM18Zc73mtP2sKb37uuPobEt4eDhaWlpYW1ujoKCAu7s7Y8eOxdXVlY4dO761ml1PTw89PT3gZQ6vsbExERERpZw89PX1admypez//fz8MDEx4datW9y5c4fMzEyZcBOJRHh6etKzZ0+KioowNjYmNTUVExMTBEHgyy+/JDw8nJEjRzJ58mTgZVGNoaGhTOTCy0YCAwYMYMKECWzatKnMvFVUVDhx4gSWlpZcuHCBiIgIRCIRS5cuZdiwYezevZuZM2fy5MkTRo0aJTvH6qBOnTokJiaSlJRUbiT9FZMmTaJhw4bEx8eXaV3s5+eHm5sb165do45JxRpn/BNxsYQg/3hqtXDESF+VnCIpKS8KyCgQk5EtQPYrD+lMlFSVaN6tAb7xyWWuf0VlVaQl4jLHf1t0+Z/cSYyix9k/Wde6Fx1qv38BXkWIiIjAwsKi2otzmzZtSmxsLKampkydOlXWYEJBQYFevXrh4+ND9+7dMTIyYuzYsbL9XkV3k5OTCQkJYcaMGeTm5nL79m1atmzJuXPnaNiw4XvNzdramocPH/LXX3+RlJSEl5cXDg4OzJkzh6lTpzJ16lSaNm3KpEmTWLNmDUOHDuXAgQNy6zE5NYo8ovsBeSVyd+7cyb1792jWrJnsS6ymSEpKwtfXVyYsPsYo7j+5fPkyP/30ExMmTGDEiBEVmu/DpDgmXTtLcv7bmzcAtKxrhnfa63MD/4mWkgoNdUzxSXxz5MlW3YiY0OwKHfPftBAZEfmw4hFmLU1V6tqZ8CgxCYlUwMbckG4t7Oja3BYVoYjc3Fzq1auHSCRi3JjvCXkcj4bYAbGkgITMQGrp2qOqXDYypqAg4stv3Gj8mQktW7bk8OHDnD9/nmPHjlFcXAy87Hu/cePGCs/1woUL9O3bFxsbG/z8/GReop06dWLu3Lmy6I9YLGbw4MEUFxe/1qYsIiICFxcXOnTowPDhw+nXrx/btm1jx44d3L9/v5RP6cSJE6lTpw5z584tdYzMzEz69evHX3/9hZFR+dZsbm5uzJ49m2vXrnH06FEuX75MixYtkEql3L59mx07dnDlyhXmzZvHxIkTq00IFRUVcevWbfLzdfDxjcHQQItRo9zR1S1dOLhs2TLOnz/P9evXS1Xyr1y5klOnThEfH8/f+8+yZPS7L2lrmemTk/32VB8LZ3NemCqTkPa/z0Ji0HUkxQXUcS1dVGpRS5dHDmmVmocI2NahL90s30/AvY3c3Fx8fX1p27ZttX9nFhYWoqOjQ9++fcnJycHf358pU6aUckNp3Lgxmzdvfq2Pb3FxsSwFacKECTg4OHDp0iWOHDlChw4dqnS+165dY+XKlTx+/JiMjAxCQ0OZO3cuqqqq+Pn5kZKSwpEjR+Ri9x2xctTi5xONa3zcLUOK5BFdOZXjlcjdvXs3ERERmJub16jIlUql+Pr6kpycTOPGjalT592ssWqabt26ER4ezvPnz4mMjMTGxoYCiRgVBUUUy/nB2R7wkNUPPJFUsPsYAELFcm3t9UxJyyl8q8gFKBQkb93mdYgq2JVKUVEBeycLQrLS8Y7/nzB+nvCCLSfvsuXkXRysTenazI6C/Fj+3nGbS6ceACAIscRn+KOgoEgtvfJTZxSVROjVkuLi4oJIJOK3336jV69eXLt2DWtra8zNzSv9oy+RSLC2tpaZ/L8iLS2tlNBUVlbm0KFD9O/fn8GDB3PkyJEynQKDg4Np0aIFjRo14vLlyxgYGPDTTz9x69atMtuePn26TGoCvIw2vy2X0MrKiu+++44pU6bw/PlzWVGYgoIC7dq1o127dgQFBTFr1ix+//137t27h7GxMY8ePZLl2L4rubmFPHocja9PJD6+kWiol9CgoQ737r1sM33j5hNGfNuGL790Q/H/rpv58+cTHBzMyJEjOXToEAoKCojFYg4cOMDmzZu5cuUKs376AU3h7a4Mr6WC+8UHJKCirkzTLvXxjUtCEECkqFRuRLeoEhHdVwhAVHblO61VagxBwN/fH2dn5xoJDOTn56OiosKmTZswNjYmPj6edu3aoayszA8//EBGRgZBQUFvjOyrqKjQtGlT4uLi+Pnnnzl48CBHjhxh0KBBHDp0qEoLxTp37lwmPaFv377ExcWxfv16+vTpw6BBg+Ri952RtwCuLPKI7gdg3bp1+Pn5sWfPHoqLi3nw4AFt27at9HL8u5KTk8OdO3dQU1Or9vyyqkQQBC5cuMDo0aM5f/48Obm5XBNlcjDuZUtXRZEIFQUlVBQVUVZQxFrLgAdRlW9/2aKOOQ/To1/7upqiEk565ngnxCFU0M/QVEWL7GfFlZ5LHX1dLFW0UE4roSCtkKT4TAoKy4qChg1rkaZYTGxGxaLGnwk6PPWJJiT+IslZIZjrO5OQEYCdeXeMtOoRm+6LoZY1uhr/a+3c7nNLLCzN+HZcbwDZsn+/fv1o0aIF9evXx9jYuFJi6ZU/7b8Fg4mJCf7+/mUs7YqKiujTpw9GRkbs27ev1Gtz5sxBXV0dGxsbZsyYgUgkYsaMGUyfPr3MuDY2Nly6dEnmnlAZkpKSUFNTq1Bqwvjx48nNzSUjIwN/f3/EYjGLFi1i/PjxlXqfSkqkTPvhAE+eJCD919J/t67mPH+eQ/jz/9nSWVsbM2lSZ1ybWAEvo4LdunUjODgYZ2dnpFIp2tranDlzBrFYTIOGjTAtboqh2uvt6t6ElrkBOVkV7wYIUMe1NvFaYm4dXoWVc1uadOyFirYyJeqQqVhEkpCHVS19HmbEUkLFb1QnO33GTFf3t2/4jkRERFBQUFCjtRQzZ84kOjpa1t44NjaWdu3aMXLkSObPn88ff/zBkiVLOHjw4FtzYD08PAgJCaFz584EBwezevVqvL29q9XKUiqVMnXqVBwdHRk+fDidO3cmNDSUs2fP1ljHxP8KdR21mXvctcbH3Tk0740R3djYWIYPH05SUhIKCgqMHTuWqVOn4u/vL/setLKy4uDBg7JOrytXrmTXrl0oKiqycePGarMAlN8W1DAXL17k4sWL/PnnnygqKhISEoKdnV2NidynT59y8+ZNrK2t6dChwycjcuPi4mjXrh1z5sxh+/btWNrbsjc/BtO0ApT/T2yWCAIFJWKyigtJK8wjJq/ykZ36ugbEpeaiW6hNXZExDurmuOlY0sLAiuaGljQ3ssRQUZsHCfEVFrkA+SWVE7lqSko0tbYgLj8Lz4w4PBQTuWeaQWQTKSrt9bHqUBv7lnWwczDH2sWMx9lpFRa5AAWZL0VJw1odcbebgoqSJhJpEYkZAdx9to3cwlT8Y47jH30cQRCobaODpo4Ketr/s7S6fPkyM2fOJCQkhGnTpmFra4uenh7u7u7lRkvLQ0FBoYzIzcnJIS8vr9wIlaqqKsePH+f27dvcvn0beCl+d+/ezf79+3FycuKnn35i3LhxtG/fnpUrV+LrW9YKy9ramoiIiAq/X/+kVq1aFc6/nTt3LqGhofTq1Yvw8HDu3r3L5s2bGTduHBERETKh/zby84sIDo4vI3IBbt5KonlzY9TV//cdEhmZyowZh1m46ARJyVmoqalx8+ZNAgMDmTFjJu279+LLKXOYtu8cnVb8SZG1I8lm8Rg5vT4q+CbeRSLFPoojzdsThdr65PZ3445RMtdV47gljcNfnEqyJJ8HcfHUVzXGTL1sN7jXkV1Jt5TKkJeXR0xMDHZ2NduZasmSJQQGBsqEbp06dbh58yZXr16ldevWtGrVir/++othw4YxdepUbt68WcaV4xWqqqrs378fRUVFTE1N0dDQ4Ny5c1Uyz5KSEg4ePChLZXqFgoICGzZsIDExkcWLF7N582b69OnDd999R3x8fJWMLefDoqSkxLp163jy5AleXl78/vvvhISEMGbMGFatWkVgYCB9+vRh7dq1AISEhHDkyBGCg4O5dOkSEydOpKSk8qs4FUEudGuQp0+fMm/ePNmy64sXLxCLxW9ccqoqJBIJt27d4vnz57i7u9f4F/X74OHhQbNmzejZsyf+/v7Ub9uCry7v4WZGLPck6fRRKf/9yyiqXISpuUltYtKzScjJIbOwiKiMLIIS0/CJScIrIoEHz5PIyiwhNqfyubb55SzNvg5Hc1O0ddV4EB+H5F8LLoJIRHRxDveLkvBQSKSwoQpBSamVnk9Gysvon5KiKooKypjrOdGk7kDqGDbDzXoIzpZ9aGM7ifziDDIKw/isW21unonGxEwPeFlENnfuXA4cOEBKSgrGxsZ07NiROXPm8NVXX9G/f38GDBhAQkLFqub/yfPnz7G0tHxthEldXZ1ly5bx1VdfMXDgQKytrfnrr7/Ytm0ba9asYeTIkSxevJjDhw+zY8cOvvjiC6KjS0fo69WrR2RkZKXnVlnq1q2Lj48PEydORE1Njfr16+Pl5YVYLKZdu3bo6OjQokULRo8ezY4dOygqKir3OAUFr79+ioqk3PdKoX37sp+D27fDGDFiO3sP3GGv5yOWX/JmmVckx14o8esVbzyCwsnIKyA/PpIiLX0CG6lQZ1QTlNSrP6tNEATCwm6j0aHNG6OJT9NfkJtVgpt+xaLN2eLy38P3RSKR4OvrS+PGjWssMPEKdXV1/vzzT3744QeZtZ6lpSU3b95kzJgx9OjRg7Nnz+Ll5YWBgQEzZ87E1ta23OvJzc2NkJAQatWqhYODAz/88AN///13lVi07dixg2HDhtGyZUuZB/ArlJSUmDlzJjY2NrRv356+ffuydetWBg0aVMbiUM6bkQqiGn+8DTMzM1xdX0aatbW1adSoEfHx8YSFhcksIrt06cLx48eBl+ljgwYNQlVVFWtra+rXr4+3t3e1vF9yoVtDZGdnM2TIEFkXKUEQZL3Zq5u0tDQuX76Mqqoq3bp1q9Ie79XN06dP6d69O7/88gtjxozhQmQI/a/uIyH/5Ze9lyQTdZEijRV1yuxbLC1BuwIRa21lFVwNzHkYH49Y+uY7yvziyqcfAJiqa+Nia0Z9CwO01cufk5GWBk6WtfBPSyIpp2x3tHIpqvyPk7aKMrnZpW8CVJW1MdK2wVinPtpqL103FESKNDLvRouuZvjcjiE/R4ypxUsbs2fPnnH69Gm+/vprRo0axYQJE+jbty+BgYEsX74cFRUVnj59yv379ys9vzp16lBQUMCWLVsAyMnM5+aZx+Tn/u/HcOjQofj6+tK1a1cuX77MpUuXCAwMxNzcnJ9//lm2XZ8+ffh2+GhGjRxXaoz69euzaNEiGjduzNdff13pOb4P2tra7N69m9jYWFneYrNmzTh58iSOjo7lRtcKCt583UVG5lIiEahfv2zks7hYwpUrQfxyzpObIRFkF5QWPwVJsRQkRmPQpA2SEin3slIpGtwAi/b1yhyrPESKCogq6CH9TxKzglFUVEGt4dtdEnLFxTyKS6KpriXqim8W4TnVENF9lZdbt27dd/bvfl9atWpFt27dWLx4sew5BQUFRo8eLYui/fHHHyxcuJCHDx9iZWXF6dOngZc3j9u3bwdeiuYWLVpw69YtDAwM6NmzJw0aNOD06dNIJO9eSwBw5swZFi9ezLhx42jbtq3Myg9efmdoaWlx4MAB+vbtS69evSgqKmLo0KGMHz/+g3khf2p8Cj66UVFRPH78mBYtWuDo6MiZM2cA+Pvvv4mNfel8FB8fX6o2qHbt2tUW3ZcXo9UAUqmUYcOGMWvWLJnvZXR0NIaGhmhpVa/vY3BwMBERETg5OWFlZVWtY1UH9evX5/PPP2f69OkMH/EtKnbW1JpbuhnA0aIEJqpZkSYUEy8t/SOnp65GzhvEaQNdQ/IKxTxOrpirQU5xUaXWaUUCNDe2JDAxmURJ3MsntcHAWB0zTW20FFVQkIhQkSjgl5hEclLl/HsLcysvvE1U1aloE1d7R3ssaimzZMdiXOr2x9RcDwAjIyNUVFQYOHBgqe2HDh1a5hiP7jzlyJZriItL+GJ4a9r2aIyS8usjYoaGhty4cYO2bdzxPOdPYYwBRQViNLXV6DGoJV+OaItRLV2srKwYPXq0bD8fHx8GDhwo89b1exjJuRO++NwQuPPoDgN7L2Li1P607WTPlClTsLOzY+jQoUyZMuW1c3mRnsuVGyGER6QwsG8zGtpUzrv5bejp6dG6dWtat27N+PHjuXTpEhMmTCA4OJjZs2fLtnub0AXwvJ1M3z51iYvLp7Cw9A2b0mss6gAk+Tko6xigoPy/G7CErBwSDKHZeFeyTz4lP/l/jiW6htqYWBuhoqVGXoGY+PgMtEx00NRRJyH6RXlDlEEQBJ4l36S520CiK5Eb6puQQG1tHZS1RETkvkCEgLGGJkbq6mirqKCkJAKlYqJyXmClbfj2A1aQiIgIlJSUym15W5OsWrUKR0dHRo4cWSpIYmBgwJkzZ2jTpg0WFhZMmTKF0aNHs3XrVr766itmz57N5cuXGT58OKqqqtSpUwcPDw8+//xzVFRUcHZ25vTp0+jr6+Pq6oq2dsVTRf7J2rVrad++Pbdv38bT05ORI0eycOFCOnbsKPM9t7Ozw9HRkdOnT9OlSxeSkpJ4/PgxGzduZOrUqVXyPsmpelJTU2na9H+WlmPHji1lZ/eK3Nxc+vXrx6+//oqOjg5//vknU6ZMYcmSJXzxxReydMnybmyqK09cLnRrgIULF+Lo6MiAAQOAl0tgkZGRpTw8qxqJRMLt27cpKiqiQ4cO1S6oqwsFBQVOnDjBoWNHGdp/YLmRowKk7C2KY6RqHXYURZP5fw4H+qrqWOtpU1tPE0EQUSKVIimRUlQipVAixkRZh0cJiW+N4v6T7KIiRKoVM2Yw19BBT6SBd2zZu9T0wgLSC/8XVXXVNSP/NTl1byIjLa/S++gpKldI6CopK9C6e20uHgynjVs/7jw+wlfdRUyeMoYmLSxITU0lMzMTNTW1Mp2hBEHA61owR7Z48DTgf97FoY+j2bnyHD0Ht6TnkFboG5X9QX189xmndntio9Sd01ePYKFlT339z8jLKeTYjpuc2nObdr1c6PddO6zt/tcCNSgoiFkz53Hs4H0unPQlLuaV6FKijmlz7jw4TcZ8EXV2GDFweGv27t1Lly5dSollgGKxhDte4Vy8FoTPo0iZ7+u1WyG0bdWQ0cPaYF23fOux8ggOTcA/KJbunRwx0H+zs0r37t25c+cOnTp1ori4mAULFgBvTl14RWFhCd7eqbi3NeXK1dIpI4rKrxe6WnVtib90hKKMVFT1jUu99jA1Bd0uprTOr09xWiEpqTmkpWSTHlna9is2Og0lZUUcW9Qj2CcKoeTtuceCUIKySOOt2/2buJxslPMUaWSlQ3x+JlnSTLIKM+Ef97h9PXayutmXdLF4/xSt1NRUkpKSaNWq1Xsf630xMTFh0aJFTJo0iZs3b5YSBoaGhly8eJE2bdpgbm5O3759OXDgAJaWligoKODg4MCFCxdo164de/fuZdWqVcDLQIympiYnT57kyy+/xNfXFxsbm3dy4nFwcGDVqlV89dVXPHjwgLt37+Lr68uTJ08IDw9nw4YNTJw4kbS0NOrXr0/Pnj2pVasWL168oG/fvjg6OspbBVcA6QdwXTA2Nn6rvZhYLKZfv34MHTqUvn37Ai9vbK5cuQK8XKE9f/488DKC+yq6Cy/rcP7d0rqqkLsuVDPHjh1j7969nDp1SpbXFRkZiUQieaeK74rw4sULvLy8MDIy+mg7nFUWRUVFpFIp+oO6oft5+RXVVgrq9FGpxR+F0dTW0SdXUkhK4eu9cy1LahGZWfmCNW0dpTfmAYoEaG5kSWBSCgWSionX5gYWPI6oXDRXTUkJlWcS3tjm7V/oaqnhbGpEYWAaUSFJb1wu/Kx7bRREyiTGFRP+LJnsvAT8w//CUNcGB5se3A/agoAEHR1tzp07R5MmTZBKpXie8+evrdeJCnvz+SipKNK2R2O+/LYN9RqZc/PMY07tuU3Ek/+JtCJJHo+TT6OqpI2zcXcUFUrbhLm0bsDX37VHpKpAi88c6NJiPuW95WJJPncCNtLKYQJqqi9Td7T0pDwI2kPXbh3p0qULWroWhEXkc/POM3JyX7/8raAgoqO7HSOHtKaOhQGCILBlyxYGDhwos0QLfZbIdc9Qbt4JIynlZZqNuroyQ/q1YGCfZqipKb/2+PDS2aFTp0706dOHpUuXcv9+OD8tOPbGfV7Rs0dtQp5kEhX1v2vfxq4W9zUyX7tP4vWTKKqoYdKm/K5uHSUGhN6pWE5z3XrGiHOKSIp9c/e/sMRrqGipUTSrd4WO+2+MLKRki1//dxIB39m25gfHDiiK3u07MDs7G19fX1q1avXB2rL/m5KSEtzd3VFSUmLp0qWy/MdX+Pn50bVrV65evUrjxo0JDg6moKCAhIQEfvzxR/z9/WXFm3fu3CEmJgYnJyc0NTXx8PDA3t4ef39/FBUVcXJyeqd85EmTJpGYmMiSJUtwcnLi999/Z+LEibLXX3UrtLCwoH79+sDLbn+ff/45J0+exNra+v3epP8wdRx1+OHvFjU+7qFvMt4odAVB4Ntvv8XAwIBff/1V9nxKSgomJiZIpVJGjBhB+/btGTVqFMHBwQwZMgRvb28SEhLo1KkTz549q5b8d7nQrUYCAgIYNWoUHh4esrxYQRC4desWrVu3LuPtWRU8ffqUsLCwTzZV4XWcOHGCfv36oaCjifH3g1C3Lz9/0FlRm+4aZvxR+Jy8kjfnmzkoWRKQnFypeTQ1NSevQIymujKKSiKkClLySopJLyogtSAPYzVNDBQ0CUmrXIFYC6PaPAqvXOFWXT09Mh5lVmhbZSUFnOqbERqXSl7hy2VwCw0NbKTqJAUlkZFa+obAwc0cx88MObLjSannxZJCwuOukZLxBC0NE7TUa2Fn68QDv79ZOGstwddTiY+qnMk/gL2bFSG+UeW+ViKV4JdyFk1lfewM2wMvP0dP02+TnB+Om/kXiLXU8Xt2mDbOUxG9RtSERJ1BRUmL+rX/12q2WJxLen4wWeIUUpIjkRQXoGtYDz2jBugbNURd8/XL34oKIrp0aIS6QjQrli9CUVGJbr2/JTqugGKpIUrK5QsjQwNNRg1tQ88uTjKv2/JITk6mfv36TBo+G1GuMdnqyjx59vbrVUNdka++qsvfx6IQi19GVhs4mnFX5fU3dQXJccSe3k2D7+aX+/51LNYn9F7UW8d+hYqKEnaNzAl+GIlQjlOEopIiSsZFXPfagd3KeaSKKv8zZF5HRFrR21c0WplYs6FFXwxUK+dTnpuby8OHD2natOk7L+VXFxKJhIMHD7J48WJsbGxYunRpqU6CK1asIC4uTpbn/orhw4ejo6PDpk2b6Ny5M3369GHy5MlERkYyfvx4UlJS2LlzJ66urkRFRREbG0vTpk3R0Khc5L24uJiGDRvK5nj16lVmzpzJihUrUFJ6uZCcnJxMfHw8giDQtGlT6tSpw/Hjx5k8eTIeHh6f7CpkdVPHUZepR1u+fcMq5sjwF28Uunfu3KFt27Y4OTnJgmsrVqzg2bNn/P7778BLP+WVK1fKViKWL1/On3/+iZKSEr/++mu1tU+XC91q4sWLF3Tu3JkjR45ga2srez4hIYEXL17g5FS1vaqlUin3798nKyuL1q1bf1IFZxXh7NmzzP/rTwIPnkLVzgp1Rxu02jdFSf9/RWgKImhmUgf19DwsFdQ5JI4r5b4pSKWI41ORvMhC8iIL42wFXhgZoG7/9uVNTWVlGumY8Djm9VFKBRHY1TUmMLVy4hmglUkdfJ5WPBHfWEuDOqZ6KBcpkP48m+T41ztBONU3Izkrh+SM8qPbiiJw0jZAM01MTkou+ibaNGqmwdXT0WRllJ8bml+YTkFRBk9jr1DPvB35RSlIcwtoaPBu6Th1bEyIfZ5S6rk8cQbikpcRu2cZdzDXssdC2wFBEAjPuEdyfjh1dZoQnnkXK/N2JKcHoa6qj73Vlyj8q41zTn4SvmH7cKk/CD1ty1KvaWirka728ou3uDCbzBfhpMQ/JisjEkEqRVFJFSVldVRUtVFR1UVFVRNFJTXycpLITo9ERU2bbp+P59nzRBKj7yEuzkNcnIdjs1GoaRi89pyt6xoxboQ7nzWvX+r5pwEx3L8cyJqNS/8fe+cdHkd9bv/PbO9Vq96LbdmWbFmu2MaAKQmhJZQQSgpcyoX0+ktIIyGX3CSEJIQAuSFAElpCSCAQenfvlmVZVrO6tJK29zq/P2TLlrVa7coJweDzPHosa2dmZ2ZnZ873/Z73HIZG+1lq+yhSyTg5qFxeiVshZWg4vfhkfq0RW66at94a95Geu6iId6TT62dFUaTzkZ9iaViDuW4FwnHn76ywidYt03tLT3uM1blE/REkBiWaPD0xlQRnOMKgw0ssnqBn57MEHF2c9aPvsDeenZtJaZmM4VBm6xSoDfxq1eUsshTNvDDjIQ3btm2joaHhPX0vjcViPPTQQ9xxxx2sW7eOhx9+GKlUSnd3N8uWLWNwcHBSQcXlclFfX8/vf/97brrpJv7v//5vQiogiiKPPvooX/3qV7n66qu588478fv97N27l/nz509obDPFk08+yfe+9z22bt3K8uXLaWtr46KLLuKpp55CLpcjiiKbNm2ivr6ejRs38uEPf5izzz6bT33qUzzzzDP8+c9//rd6+56seK8S3fcyThHdfwPi8Tjnn38+X/jCF/jIRybHWm7YsIElS5ZkPUJOh2AwyNtvv41arWb16tUTI+b3G7624Rl+d8+9uJ9+HZnZQM6tV6CqGSctBrmSMoOJ/a7xB/t6mY1CQcWjsT5i3gC+t3fjfWUr8ZHJVS3LJy5Dvzr9NFC1yULEn2DQM7MTwuLKfHbas7fUWplbws4MiK5MIrC4opCmUfskWcQcsxVbVE1vyxh+37isorLIgiAV6BjMrEEIYHFST542jgjs2jQy4/Kj7jba+16mqmQpg/2tFOvrUEjVyKVqZBIFMkGBTKJAECQkxQS+6BieyDDeiJ1I3I9EkKGS6VlUuY6od3Il8c3e3yIgGd+eRMXivAsIxjzsH3sFAQkNeRehlGnR50v4x44HqChYx6j7IDKpgrqqo04KoiiyoemXqJUmqorOwKgtRiI5+h2xFZnoi06WovR1volz5AB6UymRsJtwwEE45EQURax5C1CpzWj0uRgtlSiUeqwWHQ7n0YHEQPdG+jvfYH7jp9Cb0msdG+pKuPyceva+cYAtr+5nbMjNQfcGRkOHWJn3cWSSyS4dUrmUuWfN5+CQi2Bw+ia1Sy4pZcuWUUBBYa2Nt0LDhKLTz3IE+ruwv/0ccb+HwnMuR1dxdAB4ZtDEwW3ZE12A+Ssq2OxKXeUXRZG+3c/htbfzkW99j2ZDiGCGcp+qciV9wcylR3KJlJ8su4SPlKQPegiHw2zZsoX6+noslukHKu8lhMNhzj//fBoaGrjrrruA8UCX//f//h8XXDBZGvLiiy9y4403EolE+OMf/8i555476fUDBw5QX19Pe3s75eXlRCIRdu7cidVqZc6cOVmRz2uvvRadTse3v/1tVqxYwcDAAB//+Md59NFHkUqljIyMMDQ0xKJFizjrrLN444032LZtG0888QQWi4XbbrvtxE/O+wzFC4187s/vvl78L58cO0V0T+EovvjFL5KXl8c3v/nNSX93Op10dXVN6lw8UQwPD7Njxw7Ky8vfFauy/xRe27SBS6/6ODKTjqqPnU3hikXIZDIkgoCAgCcSoc0zRnzMTWzYQWzIwVm5FdQYbfz0zh8j6jXEBkZQ1ZajaawlGQxTrLXiXbYMYRoNswAszytmT/cQ8RTTr6mwtKqQrcP9WR2bXqGgwVZIwB/lQP8IsWkaeeYV5OAjRq/HPe225BIpdWYbxhEZezoGyPbbvSSsYNkKC3/7QzvpsgySYoIxdzsDY7twebs597TraN67iWgiRDQZJJoIEU9GSSSjxMUYEmG8QqiW6dErcjGpClBI1CTEOMG4i35vM8WGeiqMS1FI1QC0OzcRTQRZYDua9HRg7HVGgl2sLv7kBAGsri9hR/tBdh38AysW3MSug3+gsugM8i1Hvw9ObzcOTztO7yEC4TEW13wCi2FcB1g6J4+248I2hnq34nP3Mad+svWY19VNW9NTaHR5VC+8BIVyfEpbpZITPi6xbuDQBvq63mTFWbfNSA6WGrQc2NQx8f9292b6/fuQS9XkqavI1VRhkOdO2o4hV0/+0gqa24cnfc5qtZzSchs6i5x5VXIeeqGHZBIsNi36aiP7BtPPOHg7mhl+4+/UXPdNhMN6uTN8Btp29qVdbzrMX1nBZuf0chZRFOnd+QyxsJfTrvosoQVSOrzp9b0Acys1HPJnJ5O5uLSeny6/ZNrXw+EwW7duZcGCBZMiqE8GOJ1OVq1axVe+8hVuvPFG7rvvPt5++20ef/zxKcveeOONPP300+Tn57Nnz55JxZH/+q//Qq/Xc/fdd0/8TRRFWlpaCAQCNDQ0ZCy783g8LF68mF/96lfMnTuX008/HbvdzrXXXsvDDz+MIAi8+eabrF27FkEQJvbD4/FwxRVXcOutt3LhhRee4Jl5f6F4gZFb/7z6XX/fv35q5KQluu/P0t9/EI888ghDQ0OTbhJH0NHR8S9tQDvSydrY2Phv61acDfr7+4nFYmg0GoxG4wk1ccRiMb723dv4zX33Yf30h9CtXohLEHD5Jkf71ujy8b21C8cfX0BRlo88z8KroTDiQjXf/N53+MmPf4zpvy9Ft3YxgiCgkEhZZC0iGE4gF2QISQmJBERiCYKxGLFEEgMqdnRlV50VMrFjOAaLcvMZ9Ph4p3e8WqY3KVhoziccitE6OIoogkWjpjTfxM7hmfcllkywx2HH0iXJmuRKBIGGJSbeeXkgLckNRVxsO/AgcqmKsvzV1FVeypyyUsTB1BpIURSJJoK0uzYxHDhILNSLPdCG9DBRXV5+IWWGJXS4NvFW7++wqIrI09bgiQxhUk2+rudazyCWjLJj6K+UGhYRjLspTpyPXpOHzTyX3uHNzK+4mL3tT2DRl6OQj+v8LIZyLIZyAJo6/jKuzfV20zn4BoXzvjRln+VyDfFYcMrfDeZylqz5AocOvkDb3j+zcPn1SKXCFJIL4BhpQSZTMti9Ab2pFJ2hEIk0NUFIRCc7f9SYVlFtXIk7OsRIsJO9Yy+QFBMYFfnIJUrkEiUavwm33U1VfRnyMitSjRxvLErXsJO9I6MwAjGJmRW1Zjbvd+EcDeAcDbBsUSFdcR8O/9TjAzBUL8S56x3cLdsx141PkabS2WaMGb4SgiBQvPh89j33Ezp37sU8VMWas4vZ6O1P0WcpUmDQk6vToJJlHgt8BKE0CYV+v58dO3aclCQXxi3GnnvuOdauXUtlZSW1tbUTzgrH46677uK1115jcHCQ/v7+iX4OURR57LHHpqQGCoLAggUL6O/vZ9OmTTQ2NmakoTUajdx99938+Mc/ZuPGjbS0tHDZZZfxxz/+kQULFvDlL3+ZgoIChoaGKCkpYdOmTZx22ml89KMf5fHHH+dDH/oQ1dXV1NbWnvD5OYUPLk4R3X8htm7dyn333cdrr702pYITDAaJxWL/ErPxZDLJli1bcLvd7znrsBdffJErrrgCi8VCKBTC6/VSUVHB3Llz8fl8jI6O4vP5uP3227n22mtJJBLs37+fQCBANBolGo0yMDDAK6+8wtDQEAfa2wjn6yn+yU3ILFNDIY5AK5Pj/scG8r54JeqF4wb0kUODPP3TewldcyXfu/cXPJIYIEKSPLUevULOFkd36o1JYZGlmD17Z566Px6pIlpTwaJSU24wsXtoMmH3RaNst49LGGy5WhZac9kxOJARyT0Cm0JNJJFdKhzAqkoLztEwI4OpCdARKOUGSnOX02PfjD9kxxwrA3HqlPiRySJBEOhwbcYfHWNdyX8hl6oQRRFBEPBGRtjV9zSNeZex0HYe86xnMhrsYjjQjlSQU2laPmmbEkFCne28wxrdTpRSDY++/GPyLY04PF1UFK7FpCtBo7LgCQxgM82dul8kicT8HOx7CZO2mBdfvoeqRZ9GKjsqEZApNMRjqc+hRCqntOZstr9+J8lkAqNBh8c7ddk59ZfjcXThc/cxMrCbYGAEi20eheVrMJjLJt0jYpGpRFkQBMzKQszKQuaY1hCIO/FFHcSSYeLJCMOBNvp8Tfhj57Ai/wy2jE6tbu444OLqc0s40OPH7R9/j4N7B1Fr5CxrKGTnwBDJFCMi22nnMfD8o5TWzKN64QLkIwkkTQLJxGwI78yDP6lMQfGiD9O781l0OZ+n/YUBVjbkEawUUapkJIUknliI/qCHobiLIb8LWUDCsrwKdrozT7ibzgXF5XKxZ88elixZ8p7W5M6EmpoannzySS6//HJ0Oh0/+clPUi6n1+tpaWlBKpVOquYKgsDcuXPp6+tLmdhZXFyMTqdjx44dzJ8/n9zc3Bn3SaFQTDTzWSwWXnvtNV599VXuuOMOHnzwQe644w6KioooKSlh1apVXHHFFfz5z3/mpptu4sEHH+Saa67htddeyzh2+/0OEYHEf8Be7GTGKaL7L8LQ0BA33XQTf//739Fqp1a2BgcHKS7OLMIyHaLRKG+++SZyuZxzzz33PafH9fv9KBQKPvOZz/CNb3wDqVRKS0sLbW1tmEwmcnJyCIVCXHvttfzpT39i9+7dWCwWLBYLcrkchUKB2WzmvPPOw6GT0D+8B12hJe3Ub9zlo+2lf4JEQLVg3I0hcmiQ4R8/Qs71F9GyvAw5Hv5bWc5mVYiDEScjPg9iIsHo//2D+KgLZWUR2uW1qGrG9ZT+xOzSleRImGO0Mhz0T2tB1phXSKfDOYXkHo/RYICQMYY/yzS2HJmGAbIjumq5hCUlep66d/+My0okUioKT6fQtoSugTfZefARNu/3I0WBSqZDKdUdJrF2jMoCluRfTLGhjp3DTyMebg888nkalLksqT6Tzt4tLM67AJlEQYFuHgW66RsEBUGgxFCPPdCOCFx55tf55zt/pjz/NIptjcQTYXxBO2Z9ecr1RVGkc+B1KgpOp7xgDQOB12jd/Sjzl35qwnFATCYQxekrhlKJAgQJsWgAjdqSkuiq1GaURQ1IpQrUWis5BYsYG95HW9OfkcnVlFavx5o3H4DYDD65giCgk1vRyY+6QFQYljIQaGH7yN+I7/IgVKxBclxqWFKE13aOcu4yG39+4+hgKRSMcXBjH/OrcvAZRXocbgDyTXoKcvTE5xWwJTHG9kfuZl95BeZzzqPx0nnoN/mw92dvyZcJrOUN9Oz4G4loCJlSQ9fuEQxVevY6U2vM42KSzcP9NNrK6AwOZhSzHUqxjN1u58CBA6xYseJf2jvxn8K6dev45S9/ycGDB6cEuhwLpVKZ8u+LFy9m9+7dLFu2LOXrJpOJVatWsWPHDvx+PxUVFWnvz6Ojo5MIsSAInHPOOZSWltLQ0MB1113Hr3/9axYtWoROp+PnP/85//jHP3A6nfziF7/gtttu4+qrr+bZZ59916OX36tIZpNadAqniO6/ApFIhI9//OP84he/mNbSa2hoiOXLl6d8LVN4PB42bNhAfn4+jY2NJ7Stfxcuu+wyli9fzhe/+EVqamqoqanBYDBQVlY2MQXV0NDA1q1bee6553jggQdSnrM/tG/l93tfJmnV431pGwgCMqsRiVoJySRiPEGk105gWyvRgVGKl9eTe9PHEASBuNPL0I8eQtM4D2VVEbFRF9uDw1gqZKzBzGjchVsUx0muw4PxgtUEtrbgfOoNCr/5SQDcsSDZRKBJBYGlxYVs7x0gcbhClqPWkKvToVcpkEgEImKCOEl2DWbulxtLpyGYBjph5tjj43FOrZWOkSixaObvp5TrqC0fb3Spr7Gxa8M+wgk/kbifpJhgruV0tgw+TjjuRyZRIBVkDPhaqDAd1ahXzi9ClBWwu+tNWl2vE48nMKsKKdTNn/bh6Y862DzwGCWWWqTKJE+9/EvWLbuMWLiQpAgOTycmXQkyaeoHOYhYDVWUF6whJ89Iw/yb+cUvbyISck+4JDhHD2LKmV5mNDK4G4OpFKXKgEo5vV6xaetvSSZiqNRm+jrfZO7iT7B03Vdxjhygc/8zxKIB8kuWEckg+ex4CIJAsW4BOaoyelw7GO78BQZbJSHfKCHvCIVz11E453QGx8K4/THml+tp6Z7cUNnbOYZEKmHteeU0+Uc5FPJyyDuuV5YsW0bJonq8mzYx+MB9uGtqyD33Q3x47jw63jiU8exFpr1LgiBBIlOSiEeRKY8QzplX3jk6SJnehFkRZyCUnoSHjyO6vb299Pb2smrVqmmJ38mIT3ziE7Ne9+KLL+aWW26hvLycc889F1EU+d3vfofL5aK6upo1a9aQm5vLypUraWpqoqmpaZKl1PGQSqW4XFM/l7lz53L99dcjiiKvvfYagUCAW265haKiIi688EKWLl3K448/TnV1NcuWLeO2226bVorxQYIIpyq6WeIU0T1BiKLIrbfeyuWXX84ZZ5yRcplQKIREIjmhG2l/fz+7d++mtrZ2wmD7vYrS0lKefvppmpubsdvtuN1uenp6aGlp4S9/+Qt79+7lv26+EcnlK9k8tAFxcAPu3kH2PfEiiVgcU46FQ5IIJEXcz21GWVOE1KAlsLONZDiKIJUgSKXIc01YLj8D9YJyluSVE40niSQSBORaxCvOxdXUxsBt9yORyVDrtTzk+D3PFeXz1S98iTf2tzDQZ6fwO59GolIiyKS4//7OxDG4IiFkEm1GTWhFBj0ahYKt/ZNdE1yhMK7Q0cpwfUEe+5zZWY8FsqzmAiiT2VU9Ss0qNHIp3TP3/0xB5dwC4og09YxSt66ByJiXnoNHK9V52hr2jjyHP+qg0rScMmMDgiBQU19COBKns2NcHlKXdzFRiQNrjpHtza8zFuphQc7ZUxwHADQ5IqXxahYYzyMeS2Ax9fDqpidoKD+L3JIihjv2YTNPXxGeV3E+8xdWIZEq6Wwfxv7WQRLxCCsa5nPg0CiRSBynvYXaxmun3Ya9fwcFpSuwWrTk5OoIhqPYRyY3tInJBF5XD2s+9CMEQYK9fycDh97GnFONNW8Bam0uTVvuR6OzEQ7MXtKkkun40Hm38Nq+DUQDbiyFC0gkovQ1v0RBzXiTz1t7HFx1TjGdAwEiscmDmWQiiTMZYTg01ZNWolBiOuNMDCtX4dn4Dt2//iV//fhVrLpsFZqNXkYG3Gn3TamSI9PKIcOeMalMQTKe/TXf43OjlSmozymhyT1909wRR4dkMklzczORSISVK1e+52bG/pO45JJLMJlMXHPNNVxzzTW0t7fT39/P2rVreeedd7juuutYvXo111xzDRdddBGDg4Ns2bKFpUuXTsS7HouLL76Yz33ucwwMDFBUNNne7aabbpqwFJPJZNx222386Ec/4rOf/SxXXXUVl19+Of/4xz/YsmULl156KY8//vgJkfhT+GDi1Lf7BHHvvfciiiKf/exnp11meHiYgoKCWb/HkaazFStWZKSJeq9g4cKFKZ0gtjbvYc3K01C/8zwSrYpkMEKwuRvz+cuQF5uI+iPE7C6SoQj5X7kC9ZxxOYH3nSaiPcOI8QRIJKjnl6Opr2ShpZDBaD+BxGGpgAqsly7AeukC5IKMOkMZbw0OkJNMEu0f5a5N/+QzC1ZT9YNv8aLUQRIQpFLE2FGdaRKRXIMauzu9XnVZcRHNIyMM+Ga2HlPO4mHqCKZ//1QQopnrKCUCfHiBjeYxkd29A8xfV47SEaVz/2DaZrbymlwEhYyOYwIM9neNk9bypRXoRJH2Pb2UGRro9e5hUe5H0CiNzF1citsd4uCByVVts6YEKAE/nF77X/R43mLr4GMUahYSTvgJx72odTJUcj3ONgdyiYq4ZryBy6ouQys3saPrRdS9BmRyGacvXUvfYJR4/CipM+doKS6z0d/vpLPjKKsPhZ2olOM+sZYcHdKcBNsR0epTf2eVChnLVn2YrRv+gqloLqOBIDKphEX1JXR1jU6kqsViQeRy9YQcwpq/kPZ9f0VMJhAkUjQ6G9ULP8rBvX+mMO9qYPZVmjhgLTrqzS2KSbr3PEvQM4TWVEgklmRri4u1i6y8umNqmEl8hng9iUqFef05qKtrGH74IbbdYMS8poR1IxW0v3lo4loxW3XYyi1gUmCXROkKeOkLDNO4pITWpoFJn0fK95EpSMSPSn6ymaANxKPsGB5mZV4F7YFBctV6DAoVckFKNJnAEw0xHPRwf9ObLPTKKCgooK6u7pRXawqcccYZ7Nq1ixtuuIHCwkIee+yxiUKN3+/nmWee4Q9/+AO33HILX//61/n0pz/Npk2bWLZs2RTpnl6v58orr+TBBx/ku9/97qTXFi5cyPbt27niiiswGo3s3buX73znO/zwhz/ki1/8It/+9rc5//zzkUgk/OEPf+Css85i3rx5NDQ0vGvn4r2IU9KF7HCK6J4A3nzzTf785z/zyiuvpL1ZDg0NzfqLuWPHDkZGRt5zTWezxVDQw+3D71D8vauJjbhJBMIgihTcciFS7WF3BhEMKCdNM7qe34znpe0YzmxAkEkRk0mGf/EUq77ySfpOS5Ag9QM0JsYJi+MPTkEiQVmah7I0j7+QZL1Uyk2SSh6P9ZEothHttZOMRJEoFRSqTRTrjZTmG4nHkgRCMVz+MGO+IKIIZrWaEpOB7QOZhzxkaciAXCLJmuhWmMxIkVKca6R/JH2ogEIm5eKGIjrtATa3jOsg9zrG/y1eWUA5Kg7tHSB0jFdrSYUNhVZBe9v0+uLugfFpStu8AmpNVRS3VFBSnYfd7qFl38znKxYSKVScjsyWC2o3BdpSYgEZIU+McNiPTjFObo9FKOZFIkhZUXglUomc3t2jWHINFNQWEBLGBzLtbUM49/ZOfUMB4vEwkagf56jI3nceZV7laurnFbG/fWhiir6qwoZGp6S9b4SQUIGpoJ6DOx5nweobiCeS7D7Yj1atYFFdMS2tQyTiSkQg6B9Fo7PhHmsfl0YcJr4lRRYWLTiXB5r/inlJPsrRJEOzSJUDiB03KhEECeb8eXhGOtCaxp0rWrp91FUZyLMosTsn68fj03x/joeqrJycSz6K/eHfI731c7xgS7Diyip0DuiNBWkNB2nFA8ddtjt6BiivNiO442nDLpRaMyNtG9EsuxSJTJ4d0z2MLfZ+anPMdPqmNpNWCVrErmFesyr4f+UrT5HcNMjNzeWZZ56Z8nedTsfVV1/N1VdfTV9fHxdeeCHDw8N873vfY9u2bSxatGiK//BNN93ERRddxDe/+c0p1mQlJSW8/vrrfPWrX6Wuro6//OUv2Gw2vvzlL+Pz+ZgzZw4wTpgff/xxLrvsMl5++eWTqujzr8SpZrTsccpHd5bo7u7m4osv5oUXXkhr7RWNRtm6dStr167NavvJZJJ33nmHSCTCGWeckXJK6GRDj9/BdRv/wFAoPQEDKFHZOOQfJ13+HQcZffB5in9wHXKbCQAJAjz+Jm5llIKrT0+zJSjWWDkwmjoqtFzQ8DFZEa8k7Lx0+68wnLuc1eedx0GHE39s6hSqXCIhR6UlJ2igxZ5dzO/CojyaxtI3oE3ab72BAXdmyU96hZJ5OTnsHBzgiNpiocaGKSjnYOcIsfhR+ypBgLqKAgKeAOvnGnjonX6mse5FK5dTbzSTHAshSKW0Hsg+DGPxvEKaN7Znvd4RGLVyvK7pCb8oJnn50C+Za11HuXHJlNflZVZC4fRx0B29r+L1D1CUt5SuvtdZUf/fSCQyCkot2GpsdA87sTsmV+1j0SC7Xv5fVlxw+5Tt5Vp15Bn1vPjcozjs+5HLtXhc3aw793MsWLiYEbuX4WEPfu8gLXsfZfnaryGVCCwuMNO9tYugL3UzZFJMMhLqoM+3D4uqmArDUiSCFMu5cznkmZx817rxYWxlS7AW10/8zWpQ8KGVuTz2Sv+kir35XButrsyDRVyvv0qgqYn86/6L0qIivC2pU/eOh0ouY2Gujeam1AOeRCzMoW1PEfaMULXmWvKvq6ItMItI6RwzHf6jRFcA1klszBX0PJboxUecenMhvznt4+Sq31vxvicb3G43F154IeXl5dx7773s3r2bmpqaKc/Fj370o8jlch577LGUUhGfz8djjz3Gl770JQoKCmhtbU3p1/vSSy/xv//7v7z00ksZ+/m+n1CwwMxnHj/zXX/fl6/rPWl9dE8NC2aBQCDAlVdeyW9/+9sZ/WuHh4ezjk6MRqO88sorSCQSzj777PcFyW3z2Ln2nYcyIrkAJqV64nffhn0Y1i0mGQwTOthH6PU9JB59jfaXNmI9Z9GM2xoNexCmmZrtFoPcF+uiQWLiv2+4CW1TPzuHh1OSXBhvDhsK+lDIs+/+dUcyd0Iwq1QUGHQsLymiUD/9g1gAGgsLkUkkbB84SnIBmoOjbGCQxDw59YuLyDXrmFNko8JmofngEI0lal5rcUxLcgECsRibx0aQmlSzIrkAad9gBggC+D3pz1tSTGBSFVCir5/ymkwunZHkAlSWnEkyGae5/SnmVV44kZw21OvE6fRNIbkAyUSMxDS+rCMOP/u6hlh5xkXMrV3GitM+xIWX3k4iYaVpbx/Dh6uaTkc7Zut4xSqRFNk54CQxN4/5q2tSVhs3Dv2Rbu9uinQLCApj7PL9FVWNDG1UoMQ62X4v5B1BrZ9c9XJ4o/SPhFhUPdlCK5rGYSIVTGeuR7uwjoFf3o2/rS3j9cKxODsGhpjTUIhON7VnQSpXUXXa1ZQ3nE7bG78htPdgVvt1BMIxpWALCm6UVqJGyv8luvAxfj00uQa59PXfsd+VeXPoKUyFyWTipZdewul0cs0119DQ0EB3dzednZ2Tlnv88cfx+XxcffXVxONTv5N6vZ65c+fy0Y9+lK6uLr74xS+mfL/zzjuP888/f9rXPwhIisK7/nMy4xTRzRKiKHL99ddz8803s2JF+uhYAIfDgc1my3j7wWCQV199FavVytq1a6ftZD0ZEIpH2Tp6iPsPvsVnNjzMWCSzqo9EAKNSzvLcElbklpCrNxDf3obn3mcJ/ek1hK4BQjY51T+6GkXuzJ6XkWScHHXqMAOAEAlekroJ28z894c/inFrC8lwamuwI5DLs/tcBMAezOz4GwsLSUpEtg0PsMXez0DYy/wCGw2FBcglRwl2lcVCtcXKzoFBXKHpyaAzFuLtUD+uwjgd3aN0DzipsKkRRTg0mhn5TmRAFqddN03s7EzQGdUzdvdLJfLDkoWpVSK9KTO7KIkgpW7O5cyruADz4WCJI0gVmxsOOGl+5wGKas5Iu92+ET8rzriMYDgfl3vqcbjG2jAf5+7gDkTY6fSRf3oNJXMne5lqNFrOWXsFDWs+xLx515CXs4p/vn0/L73yB1xNAywvykchlZJMxokEXah0U4MPNjU7WVxtRKU4eg1HE4kpy6WDIAiYzz4H25WfoOX3/8fwlhdJTmOnlwpNvcNgU1BVZUNnUFJZn8e8M4spOjsfcbWW8PnLsH7qU2z++W9ZIs/JWsEgOTxIWCmxcK2sjBeTw7yQHJ4i0LCHfFz15sO82N8yZRuxZILegINtY13Ek9mdnw8aNBoNf//739Hr9Vx44YXU1tbidrvZv3//hJ+2SqXib3/7G36/n0suuYRAYOosm9Vq5a677uKjH/0ov/nNb0hMc11+5StfwePx8Lvf/e7felzvRYgIJJC86z8nM05JF7LEj3/8Y4aGhvjlL3+Z0fJvvfUWa9asycj/z+VysXHjRioqKliwIH0e+3sRCTHJG0MH2eXsYZejlwOeYeLi+I2qSG2iPzhzNVchkVJrymOfe/oY3Ty1Cmc0tRQhFUxyNbWmAiJxkWhCJBRL4ItFcYYjuCMhFhqL6XR58EYjmAddfFxbyIG9TbyqiyFfMj/lNlfqytnemXmFc1lJESig3eHAOQ0pLdDpsGjVNI9NH1RhUqiYZ7YhJkR2DGYX8TtHZWZshxuJANedXsyftw7hDWf2AF+U0NLTmZ1U4wjm5hnpbJldNbig2MxwV/bBHUdQVGGjJ5h9F/+xUFaZcAeOSgn87gEObH6I4rlnUVB52ozrN8wrZt+uqdpgUUzyzqvf5bQzv4NMltqRRUBkSakNwnEGHH52Nr+EPzjCguqPTVR8o7EAbd0v4PH1UVa4mvnzVyGakrzwzC9p+PA3Um53XqmOsnwNr+wYpaQqB3+1hJax2X2+ZRIJu+5/mMBgF7YlZ2GtW4VEltksVI5RS7dx+gHg6FN/QZDLOeNzN9DNGJ5oZv7WK3JyWRJSMCpGeCE5RGyGZjsBuGX+ajwxP/1BJ30BJ/awl8ThSnejpZz/bbwCm+qUzCEdkskkn//859m0aRMvvPACY2NjRCIRFi9ePFG0icVi3HTTTezbt48XXnhhUgrd0NAQLpeL+fOn3ndfeOEF9Ho9a9asAcbdjNavX8/PfvYzTjtt5u/h+wX58y1c/djZMy/4L8Zb/9V1SrrwQcDzzz/Pa6+9xs9+9rOMlk8e9kDNhOQODw+zYcMG5s+ff1KSXIB7DrzOF7Y/wSOdm9nnHpgguQBW5cyNdDqpgiqDNS3JBbCppk9IOx4VOit6pcBudxst/nY6Qh0MxA/hFQaQqcfIM4focfvwRserUa5CMw8YQ0TqqvhqZSM1pCYgMSGzKqVVo2FhSS5bnH1sGe7DHQ9RX5DPorx8pIeJikSA5cVFuGKhtCQXwB0Ns3tskO0D2ZFcAL1k/FhWVJk4MOjPmOQCBLyzC9AACPozr/QdD7XmxLxNVdrZr9/e8zJd/W/i8o4P0GLRIPaeHbRs/B0V9RdnRHIBpvugkoerhNORXBiv3gxGYzR1jOBwBSmwLSYQGmFXy0MEguPEVCHXsrDmMmqrLsLl7eGZF3/Ay0/fQ0FOMcYU509vVCHajBQU68hpMNCUcNLb4WRlfvHENZkNdBYrZR/+FBUX3UhgoJPWP/wPY3vfIZmY+TsilaR/P8uHPox/9y52bd+H1qOh2pA+mlcAVshMnBc18WZyhGeTgzOSXBj3Jt3l6OGvvTvYOtbFYMg9QXIBdjq7+fjbv2HbWNf0GzkFJBIJ99xzDxdeeCFr165Fp9NhMBjYtm3bhFxBLpfz4IMPsmLFCr7whS9MWj8nJweHI7VW/O6772bt2rUMD4/3OajVap588kn++7//m/7+9M+MU/hg4xTRzRAHDx7k29/+No8//njGAnifzzcRfZgOfX19bN++ncbGRiorK090V/8jeH2old+1b5j2dYU0vcGHRaEhV6PloHfmZi3NtEEAk7HYUowr5mQ0Mn1DV0JMkntcGpIIbDFLuOupx1gdkHKVugCNMHmwEpMk0M/gi9xQVEBEEWOv8+gxJUSRvaND7HEMYdSqWF1SQoXVzNahfkIpdGupkE6GkQ5qUYpOJWVBkY4tne6s1vXMYLOWDn7P7NdVKk8sCUmump2xjCiKDNh3EoqMsv2l/6XpzV+z86U7cQw0MW/lp8g5xsprJkwbm3uYSE0XNXwExwZSKBV6ltXdiM0ynx37H6S952VC4XGXC4uxiro5l3N649eoKF6HRbsE9XCEJSV5lFRaqT2thJwVNgZyYmxzDfP4wUHOLNQjAPFEkj37B5ijsFCaZQSu9LCLhNpWRPkF11F+wfX4elo5+If/wdG8GTGNLEI6gzRLqtNhXn82jmefwe4J0N8ZYLm5JOWyxRIVn9OUM1dt4DWNl04x81kfYEY67Ij4uXnLI/yu/S1OTYROD0EQuP322/nsZz/LunXrMJvNFBUVsWXLFqKHfcEFQeAnP/kJGzdu5PXXX59YVy6XI4piSg3vokXj/RgFBQUT57+kpIRf//rXXHnllYTDsx+Mn0wQOaXRzRaniG4G8Hg8XH311TzyyCOTpllmgtvtnjE3vbOzkz179rBy5coZG9veq+jxO/jWrr8hpnlURJPTk7gCtQGVXEp3ILOu75keMQKwwlZGq6+bcHLmWFCDMvU0a2L9cu741ndoDnn4rLaUFXIjArDEVsihkIOgNcji6lwWFOROaAIBjColi0vz2eEewJNGt+gIB3FEg3S4sktqMMwyeESWEFg/38qbB5xZ9YcZlQpisdlpFGVSAf8JVINlshMjulL57IhuIDSKTKrgjNOuZ+Gamyidfx7Lz/8u80+7DoO1PKttxac5d1KZktz8elr2PpaWOMmPOwcSQUppwUpWLrqVRCLKtn2/Zfu+/6NvaCvRWACpVEF+Th1mQzk+b4iunX0042bL8CCdo86JAvNIKEa/P8pi29HZlkODTly9/oyruxq5HJNaNen61+SWUHHRDZR+6JN4OvbS9sTPCE8TlDIT0QUwnLaauMtFsPUAsUSSnQdGWKotxaxUM9dkY01uMbeaq/iEroh/JId4LNJFk8fOInPRjNvOFgkxyT2tr/K5bX/CE539AO6DgM9//vN87GMf46abbqK4uJjq6mo2b948QUg1Gg2/+tWvuOWWWyYIMIBWqyWYwlbxIx/5yMTvd91118Tva9eu5ZprruHGG2/8wAxATml0s8PJvffvEr7whS/w5S9/mfr6qV3d6eDxeNIS3dbWVg4cOMDpp5+eVcPaewmheJQvbn8SXzw9mZEisMRaQuMxP0sP/yuRiAxn6MYA4+lGBWojRpka2XEPY41MwWJrAXvdndOsPRXTJbgqK4pQ1pTyzrPPc4+/h0KZittMNfhdbnyxCNFknJ3+PprEPiwlcpZVFbK0pBCJRmCnIzNNqiZDLePkdWZnqWMSBFRyCR0j2T2gjSrVrN5PJpcyv66EuQ2lSGaYop6yrkzCgiVlBIJRFiytQCrL/lZVUp2LQqMgNy9zqcsR9A1txmqqwR8aRqW1YMqtQSKd3XmPHm5mSyYThIIOxkZa6DjwLNs3/BzHaCtyhRYxjevB8UT3CJQKPfMqL2Bt41epKF6Hx9/H5j2/Zmh0z6Tl1Orpr7HX+12sKTCiOObzicXHq7tzFRZKjrt/ySUS5ubmsKyiiOpSM0F9hNd9nRQ3mskxTJ4Z0RaUU3nJzeQsXkfnX3+Np2PvlPeXSme+LgSpFMsFF+L4xz8mqsO7O+1UKMzkhCOcFpCzNTTM3eGD9CXHq7ihRIw9jkGWWstmHhkfRjILkvTOSBtXvn0fI+HM7P8+qPif//kf2tvbeeihh8jPz2fBggVs2bJlohHtoosuYs6cOZPkgBqNJiXRXbduHevXr6ewsJAf//jHvPjiixOv3XzzzchkMh599NF//0GdwkmHU81oM+Cll17igQce4K9//WvW5uIbNmxgxYoVKaUO+/bto7e3l3Xr1p3UQRDf3Pk0z/ZPfYAdi1yVnlgyhmeaKdpqfS7tKczdU6FAbUCrSDJ4TKa9SipHK1WhlikoVBvZ6erI/ACAamUN7/Sk9uqMjToZ+u49rHnopyCX4g8EuFCViwIJz0bs2JOTG53qdIXsG8q8qWdFQTFbB7PTl60sKGZbd+ZBFTBe5f5WQQV/3jyAwz9zlfsIKgstyOUydIIUV/MozsGZH+wymYR5C4oYtHtwOMYbjQptemwqJQd395BIk46l1iioml/IwKFRXGNHm5RsBUZybXpa9/SSTFOOlkglzKkvIRSN090+fk1J5VLmLaugd9iNO40f7xGEwi627bsfq60Yn8+JVCah4eyvE59OgpAG8ViYvr1P4RzrJxL2oFQZUGtsmCyVmK3V6AyFE8lp06G+togDWw9l9H5e/yD72v5MWeFqivOXAWDLN7J3zvQV+aW5eqwqOS/1Tp1ZUMgkLJxfSEyeJCBG6QiMEpxGe2uSKlngs7G/Y2r1Nmjvo+eFhzHVLCZ/1fkIh91DKgstNMmOzuSIopjyPiuKIkO/vR9d3SIMp53GHI2ajxXl0hx38mpihEiawIsGaxEHPcOE08wqASyzFdHs7U67zPF46LT/Yom1bOYFP8DYv38/K1euxOVyIZPJcLvd7N69m6VLl6LX62lvb+e0007DbrcjkUjo6ekhkUiklPHt2rWLCy64gIcffpirrrqK73znOxM6X4/Hw7p16973YRK5861c8afz3vX33XJj20nbjHYqGS0NfD4f3/jGN3jhhRdmlaATj8dTktzdu3czNDTEWWedhVqtTrHmyYEnDm2bkeTKJVKMChWdvukJkkGe2Tmo1lsJJX0MhiZr78KJ2HiKWhRsGTS9HQ+tElYXFRJNiASicVzhMGPhALFkErnNglwmp39shKR+fD8fCQ1QJlVzhaqA4WSEFyKj+A833nlnsCU7HunkHtOuk+UqAnB5SQmOeBKDyYDDP7NEpMCqx2rSsa/rqMeo1CihbkEl0W4vQ+1TBwZSqYTahUUMj3jY1zKZiA+O+hjER+6cPAr1atp29xI7xrZLb9JQXp1HV+sgzdunkrrRIQ+jQx7yii3k5OimEF6tQU1lbSED/S4O7J9cTU/EEuzf1IFCLWfR0go6ukcJTNMgV1huZce+1yipXsNg704WLLuO1l2P0rr5EczWHMxlZyGRZVbh1qoVSGV2epIh6pddj1JpnPDnzQaSLO49Bl0hDfM/yY7m36FU6LFZ5qFUy4Dpie7OER83LSzEqpLhOM5GLhpP4vWF2COdWTvvTkTYqOlnTWMJHfvGCB/z+WrySqj5+JfofelPdD79G3Ibz0JfNm9CuhD3+fBu3IB38yZkBiPaxYvRLVqM/LBUTBAE9I1LyTnYymcuuxRPIsFb+NmSmHm/djsGqNJb8cfDjKaxOMymonsEsRnI8ylAfn4+Uql0oinbZDLR2NjIjh07aGxspKamBovFQlNTE4sXL0aj0WC3p5a6LFmyhLPOOoutW7fy5ptvctFFF2G1WrnmmmswGo388Ic/5POf/zxPPPHEu3mI7zqSp5LRssIpopsG3/rWt/j85z9PQUHqzPt0mK5QvmvXLux2O+vXr5/IDj+ZEE7E2DZ2iM2jHTzds2fG5ReZi9nl7E67TCZkr96cT3/YTngag/4j8MczJ5pSQcJCYzk7HMd0UksBLZg0Aka5njJFKY9IBaLRCDKOEvKeRIh7gj0slum5WVPKwXiAN6IOHIHMQyEAIvFsta8iMlnmxKfKYkEpl1AK/MrRR9iWZGFxDhannNZ2+5SHu0mnpqLQQlPXEIPOySEJiWSSPb3DIIH568tQjMXo2TuIRCpQu6AY+5h3CsE9HiNOPyNOP+YKC3Mtehz9Lqy5Btqa+9m3feaOdvugG/ugm7wSK1arFveoD0u+ibbWQZp2p4j3PQbRUIzmd9rQGtXU15dwsH2YSCSOQimjsr4IXyxOa3s3ba3baDzjqxxqewOl2khB+SoC3iFcrgD93ffQuPpyYsrSlJVYQYCaijwUMinth0Zo2bsbmbaUmvp5SGMiPcdF/B5qf4lkIkZh6SrUGmvqHc+SgGlUFhbNvYo9rX9isfwaKpT5wPTfCxF4scfJh8qsPHpwKsGQySVkmBAMwIZYH+V1JvIH9XQPHZ15kal1484MXbtwt7zF8Ma/Eli3irg3RP/mrWgXLabw1s+R8PsJ7N3D4L33IDWZ0C1aTKFKxScWzEd2+lr+NjaGPRpjgdGU8T51+hxYlBpq9DbafaMIQL7agE2tRSOTkSROOBmiVGulN8NeARj36D6F9Ojs7KSqqmpSschgMLBs2TK2b99OQ0MDZ599Nq+++uoE0U0lXTiCb3zjG5x//vncdtttPPvss5x55pnU1NSwYsUKLrzwQh577DGeeeYZLr744nfj8N51iEByNtnYH2CcIrrTYMOGDbS1tfGrX/1qVusnEokpMYfbt29nbGyM9evXn1RpZ52+ETaMtLNxpINdjp6Jm3uFLhe/b/pp+sXmkhlJLoAnmp4cLrcVc8DbM8nuZzrYM01ek2sxK0zscPSkfF0URNxxL3mSOIJMijgNId0T99EU97FEbuQWbRkHCfF63IUvQ4P5wDQJbKlQbjGi0Als9HQxp9qGPqGiqWeERIpABbNKRVWOlR32Ac43WnjH5yF8+Pw1R8ZACyXL9VSHjXS0jiCKIvMr8jnQa2dX+8yyiJb+8c997lml0Oaj+UB2UgqXJ4TLE2JBrpHmHZlNyx8L+4AL+4ALW6GJ5j3pCe7xCHhC7H+nDZNNz4J1c9jXNczezvHKoGu0DWNOFSAilSqQShUUlB4NhnGNtrFz07MoFAI19ech0VUhkUgpzDOSazXQN+ikrfMoWfS5eimoWEV3vwNBgPqGEvq7xnC5fPg8/bidh4hGfNgHd6M3FlNUehrmnBoEQUJBoYmcfAOhWJyCcitD3ZMJ2HTT/ABGfTHzqz/K3oOPMae+CkivL+72hVmVNFBpUNF1XPOgVCaBLK2Iu2NuFDYpp+UU09XjoKDciNQkwY4f39JF6MR6lIMjjG7cidSg4IL772b/aGCc0+fmoq6sxHrRxRjtw5xrtaJTq3glnmAgeOy+ZTcAcEaC+GMRGnJy6AuN4k2O4g1Nvn9ppUrmGQpo9WaWlhbNwELtg45Dhw5RUVEx5e86nY7ly5ezfft2PvShD/GNb3yDG2+8EZ1ORyhNAA5Af38/3d3dLFy4kN///vd87GMfY9u2bRQVFdHf38+XvvQl1q1bh8lk+jcd1SmcTDhFdFMgHA7zhS98gaeeempWkgUYN8U+Vrawbds2nE4n55xzTsqc7/cqnurZwe17n035mlkxfepUicZMW4YPCxBZkVOKyPg0e5Lxh3hSFNHJZexwtWe8v954iByVFleaQIkKbR7OcJi2DKzMIokkyGSIaay/ksCOmIcxpQRzDG60FtIVDfGaz4U3DeEt0Okwq9VI3JAu/Espk7K4NJedzn7innGy2uYdf0DbirVUqXJo63fiDkaQSSQ0FBbQ4hplm30Ai1RGjUrD8/apOuC+qI8+iQ9DnYKSQ2p2tmXvRekNRQjZM28kPB7hEwxz8Huzq6AfC/eoD403gD8wXu1MJGIMdm+gqHwNsWgQuWKqjZvZNgdTTg3OkQO07nmdRPRpKhecTl9sKYPDU8+DMaeKzj1PEwl5UWktPNP8AgF3DwH3AEp1DkZzOfmFjai1OYwM7aWv+1V6u/5JRe3phKQL6HONS36kUgmL1lbRua2HaCROLB5i4667MRsqyLXOx2aei+w4SYXNPBeHZT6dh7ZDycyevy/2OrmyJpf7mwcnUUhJBg1jqRAlwZtCDwX1OrYG+uG4FGV5YS7myz8MwJ6Em7qqfIYG/LhDEcpUSs40m1CWFvO60017KASSyU15iVnIfqLJBINhB6Fk6usukIjQFRhisbmEPa6+Gbd3qqI7M0KhEFptaktErVbL8uXL2bZtGxdddBFXXnklzz//fFr3hMLCQtRqNSUl4zZzF154Ibt27eKmm27iH//4ByaTic2bN3PzzTe/byUMiZPc7uvdxsnDuN5F/OAHP+CTn/xkylFopjiW6B4huWefffZJRXK7fKP8pPmFaV9PTlNhLVAbEBAzsvaq0ufginnpdaXWZC3Lya7RQyNRMEdfSCQRI5ZMEE7GCMTDeKJBQsko9aYKmpz9xDKoDgP4IjEEuQwysNfSy1XsDo2xJ+SnXqXjv6yF9McivOV3YY8fey5ElhUW0zxmZ9DuI1+vo9xgpnV0DE9kcjVtYYENJ362OlJXLUfDAUbDAZRGGavKS+i3+9lqP1pdvchk5Tm3Iy0lCCVjDDszb1A7FlqlgtlTTQgHZh8mIZNJCQVOjCiHI+NERRSTtO19ErU2F1tRA0Hf8ETD1PEQBAFr3nysefMpzE3wwrO/xRpIUli1ZsqyJXPXY8mfT0/LCyQTcQzWcopq1qMzl1BRWoBaIsXpCFBcZsETLKKrdzl+Vy8DXZtx7niOnMI6qhZ9lASwq22AvGozxRI5XfsGWTL/07R0/o39HX9FEKRYjJXkWhdgM89DIR8fhJbNXciQcx9m+emEYulJmSsSp9MbojFXz46Ro6xUODGHNyIZ+kM3u4ZZZbOyVprHaCjCq043/ZF0kovZ9VHPtFZcTNLk7qXRWs7OaWZ8juAU0Z0ZmzdvTiv/02g0rFixAlEU2b9/P4899hhFRdNbw1mtVqqrq9m2bRurV68G4Jvf/CaNjY385S9/4dZbb+W5557j5Zdf5rXXXmP9+vX/8mP6T0IUhVMa3Sxx8rCudwm7d+9mw4YNvPHGGye0nSNEd/v27SclyY0m4nx9518IJaYnQI7DjR1WhZZSnRmpIDAUcmEPu9HJpq/2HsFcYy5DIQfBNLrbeBaGr7lKPRq5nK2O1BVgvUzNLkdvVo9HVySEIJeRDM5M58wKNUalEk8kwt6wn6awn3lKDZcYbQjA2343DpkEq0bNtuGj1dPhgJ/hgB+lVEpjYSHuUBhXOEh5vpFdzsyqrJFEHGcsQI/3aFWxQqFCJgi0R9Lvu1mqJjFLuqo6wWva75k9TdYZVBm5KKRDIBRFFJP0tL1CJOShfuWNCIKAKCbTzuaMDOzGZK3ClreA/IpVDHZuIOQbQam1UFS1dhJJ1hoLmL/quinb6BtyTdiujR0cH5wIgoDeUobeUkbAO8y+t39D1aKPTqxjH/NhB+pWV2Bv0aDT3ET3wDt0D7xDMhljzNVGR++LWArLkOXkEYlKcHe1Ui5VUm41c2A4vSPIWwNublxQSNOYn+jhaQZhlhXdIwjPML0vBRoVBtaqzPTGwzwS7Kdcn0f/8GSSm2vQUGjTolALuBIBVHIpurgCfzy7wU5G339BZLfrEI3WCnY7ekkes5ZKKmOu0YJJKaXVd4BQYiHqDENsPmjYvHkz//znP9m3b1/a5dRqNStWrODmm2/mjjvu4I477ki7/Kc+9Sl+8YtfTBBdhULBb3/7Wy699FL27NlDWVkZ3//+9/nqV7/Khg0bpq0on8IHAycP83oXEIvFuOWWW3jwwQcziu2daVujo6NEo9GTjuQC/Lzl5RlTymSChHKdkf6gi33uyfOSxRoTLWlIzAJjAd3B4RkrIiNhX9rXj6BKl4s75qMvOP00ui8eIk9tydizV4KEsXAQ7Yo6vC9tRDW/KuVyWpmCeaY83hrsRiGXstRWgDsQocPl5EAkyIFIkDyZnEtzi9AlkmwKeFAKApHjpuciiQQ7DldjawstGZPcI1Ad5/N6ocnKE86ZbdsMUiWuWRJdpXT2lQWZVCB4AhVdjX72RLffvZde1y4ih0LEon7UulzqVtww4ZUb9I8glabW0dv7d9LZ/HfUulwaFv8QU+4cHAP7UGmtuEYO4hxsZt6KT6LIIKpao1LgD6Y+B4IgQZBIaNv5BMVzzkJrPFoV29cxhM6sZP6camQ7FdSffgYb3v4DUUmMknNvIhmNEHGNkHSOoC2uxu72MeoNsLSyiP12+7TV3UhCZKvdy7oiE6/0jTeSnegsaSieerBskchZpTSyUK6jOebnAV//hHvJsKuXxjlFKCUCMVmcgbCbkbCDkYhjUl9didaESZGkP+jOeH+yqQTvdh1igbkYiGNRyggl/fSH7AxF3QxF4YAPeoJD/KDuevJUloy3+0HBiy++yKc+9amMtLIajYYzzzwTh8MxrevCEdx888385Cc/oaWlhfnz5wOwatUqrrzySvLy8oDxPpubb76Z7373u5MCJt4PONmTyt5tnKp/H4Of/exnfOQjH5n44pwI2tvbCQaDnHXWWScdyX1r+CCPHtqSdhmVREacOP1BV8rXtWmCEBaZi+gKDGU07TcUcqOehnAcQb2phMHwGO7YzJGfOVnYj1nlepKiiH79SqJ9wwT3tE5ZpsaYg0GmniCo0WSC7c5+2iOj1OSZWVpQSLHeQI7FzL3Dh/jVWB9yQeCL1lI+qreRP8158qVJVJsO8mPmmBdrdAzEIoxMQzKOhX6GRqV0kJ7ADVevnV0QxRGo0gQhpEOvaxedYxupL/sQi9d8ltM+dAeNp38JxeFrw+8dpLPlH5TNOZfQcR34XlcPXQeeZ9HqW1Frc3j2z//LWP9eiuacSUHlamxFiwn5x4hnmJql0Ux/DBp9Lo3n/D+0piL2b/4dLZt/z0jfLqKHZ1L8gQi7u4fJuaiSjlw9eR/7bzRV9fQ88yC+7gOY5i2l8MyPUXL+tQiCBFGEXZ0DmGUq5uVNH1Czw+6jxqRhbqGZxXVFIAqYFbOzQVRKpZNopQAslOu4SVfMVdp8hhIR7vL28HxobILkHkGbb4xt/m52u/sZCae2BesLuHFFIiw0ZZ4qma2N2H5PP3HBwQF/G93BQeLH7WeXf5DP7ribZvfMriEfNOzYsYOlS5dmvLxGo2H9+vXI5XKee+65aZfTarV86UtfmlL5/elPfzrx+549e7jhhhvYs2cPW7duzX7n38NIIrzrPyczTi4G9m9Ea2srf//733nnnXdOeFtNTU14PB4qKytPKncFgNGwj+/s+duMyy0wF7LbOb1+LXScHMGq0FKiM6GVydnhPJSRgwKMN3rNMxQyFHIRjEcJJMIkjnlQLbWUs8d9KOMqjUqa2SVfqDYjQcqCAjAKRWy+8eP0/eYxArWVmC8/D4XNzDJbCduHBybtz7Fo841bSTWaitk5PO7tGhKTvB5w8WbAxQKllgv1OWglUraHvOwK+QgdPi/uWPaVSuEw6ZQC5xjM/GYkMycE9QncBoT47PNmNGo507uazgyFMvv9docG6XJsYnnp1RSXVNCvmnwDF0WRlu0Pk4iF2L/9YUBk8erPojUU4BxppW3vX5hTfxlafT5z6i9DSHTS1tbMcPdWwoExFCoDdaffgkafmWG9erpYvsOQyVUU15xBYeVqRvv34BjcR9fevx9Oa5uDKXcOOeFxWzJBIsG6aDXGmnqGNzxPx2N3UfWJLyJTTZ62HXb7sXv8LK0sotluJ3y4uquQSagszUGuk7I5FqTWIuWx0fGGLItaTZ01n33umRs4Jx2fTE4kHscgyFilNLJYoac9HuTvwZEpYSvHQyWVZTTP4I9F2O+ys8xWxvax9JpaIHsj6gzgjvn5+p7f8Pm5l/OhghUzr/ABQHt7O1u2bOHBBx/Mar2ioiLUajWHDh2ira2NOXPmpFyusbGRv/71r5P+JpVKiUajbNy4kcLCQiQSCffffz9XXXUVGzZsOCktPY+HyKlmtGxxiugCyWSSm2++mXvvvfeEiWlLSwt9fX00NDTgcqWudr6X8Z3df8M1QzVqkbk4LcmFcZuvJdZipALYw26Gwx5avOMd5DqZGu80KWnHY4WtbHKcrzBeLdZIFRRrctidZRUlLs5cRa4zldLhtU9oh4dxkL82n2Wrf8yOP/yT3u/+msqLz2XzmUmEDCQu4RTNOElgXyTAvkgAvUTKUrWBWy3FjCSi7AoHaIlnf+0kD2sq1+pN7A76CCQzG0zIk7Of2EnGsjBYPQ45Vj0ejYLILJ0X1LOoCAejLszqEjQKMyq9ClJUzuc2fAKFUo9Kbaan/TWGercik2uw92+ntvEajJbxJlWJVE5FzRpEbS0AiXgUQZAgyXAwBaBQZLasRConr2wZeWXLSCYT+F29uEba6Gl5gQPbHkaiUCFVqpEq1UgO/5uMRRh642lKPnztlO0dqe7mm3QU15hxSSO0ucbYFRyGw1//+vxCihQKBqJRnKEQrv4QK0tK2eUZIJqBfZ5SEFiq1FOjsiIXJGyJuPm5t4dYhoNShUSasX9vUhTZNtLHkpwS9rsHJ+2fXCKlTGfGolQjCknksij7PDM7KmSLmJjgrtYn6PYPcUP1RUgP+ywH40Ha/Z10+Dtp93VSoSvniuKPzdrR52RAIpHgiiuu4Ic//CH5+flZr6/T6YjH47z55pvk5eVhPC6KGsa9eBOJqdehXC7njDPOmPh/TU0NV1xxBXfeeSff//73s96XUzj5cYroAvfddx8rVqzIaoolFdra2ujq6uKss84iGo0yMpJZrO17CTNVEm0qPd3+mSNuK/Q57HGn9kct1lho8aSvNkqAZTklk0nuYYQTUcKJKMFEFAnCpEaRmaCVymm0lNDsHiRy3MNahoSFplJ2u6aS+GgyRicDmD+5iIoPrWXTT39Hcssucr9yPRJ1+irBTF65vmSCNwIu3gi4KJWrOMtg5SNSM/vjPnbHvQwmM5MxxGJJ1IKE5Vo9d6ewE5sOylm01Zt0KqpzrdgH3dQuL6N9dz/xDJwpAKoqcxFEaGrqx1hkpjrfyMGtXcSjGXSwCwI1dcXERJFdu7qprCsmGYnR05Ze03cEsWQYuVRFfrGFnAITglSk/dDR76kgCBNEFiC/ZBnb3/hfjJYKGlZ/HoVKP76daBD3WDshr5Qxlwul2kROUX1G+3AsFPKpt2DncAsSiRyjrTolGZJIpBisFRisFZTVngdzlIw5HCQioYmfZCSEpqAMqTq9VGfY7UcjUdM0OvX8/cPp4AKzlQfs4zaBIrCtb4BykwlRk+SQf+pgTArUKrQ0Kg0UKdSMyuC14ChtwZmjo4+HXJpdUAXArrEBqg05WFVKkIh44gH6g076IsP0Hf4aCcAKWwW7XNn7N2eCv/a/xUjESaFGQoe/k4HQ0KQZp2ZvC6ORMW6qvA65ZPayofcyotEo7e3tfPzjH5/1Nr7whS/w6U9/GplMxrnnnktxcfGk1+vr62ltbSUSicxYqT3iq3vppZdSV1c36316b+CU60K2+MAT3Z6eHh588EE2btx4Qtvp7u6mra2NdevWodFoEEWRWGx2lk3/STRYytjvHkz5mgSwKtW0edM/tOYbC9nj6mY6WY9alv7mLpdIqLfks9eT/kEUTkQpVlvpD82cZCQTJNSbS9jtHndkMCnVlGtL6At4GQx5sCkM6OTqlCT3eEQMWizXX87Qt38+47IA7nB45oUOozcWZpMYpjs4wnyZjnMUOdgkCg7E/eyJexlIQ3ojsQRnG8285XMTy2B6tlhnwCbX8NpwL/VLc1GOibR3px/EqJVyFhTn0t42TNPweFVseMxHToWBGrOB9l3TE96qylxIinQdQ0o97iB73UEslTaKc/Qc3NpJIsX6UrmUuYtKcXmCtLUdnT7vOvz73MYyPCM+7H3OKeuGom4OObfhi9gJREdZuvhiBsIR+veNDwYW1BfhCIUZHpl6Xas0ZhavvhWdoXDCSUFMJmjd9QhanRaSOfhdbgY738mI6A53b2GwYwMqrQW1PhdFbB5enxyZXI1UqsDes42Rvl1IDzfFFVatxVbaiGQaqzOAUBLkehNyvWnG90+F6aqz/dEIgWSSOSo1beGjMzDdbjcKqZSVxSVsHesDASrkalapzdQoNQwLCTYFXTziHCfIJqVqXPbgyE72oEhzzOnQ4R0jLCgZi6ZuZBWBLaN9LMupoNmTWRBNtlZmnb5B2gLT37+2OLbhjLr48pzPopNlH1v+XodarebDH/4wf//737n++utntY0jsoOf/exnPPXUUyxZsoTTTz990ntUV1fT3NxMY2Nj2m3JZDLuu+8+br75Zt56662Trm/mWIicakbLFh/oYYEoitx8883cfffdqNWza7YAGBoaYt++faxatQq9frzio1AoTkqiu8RSOu1rjdYy2rzpK2dmhYaRiAuE6R8MwTSNVhqZgnmmHPZ7Mku7MitmfkgY5Rqq9Db2HVNh9sVD7PN04Yk7WJ5TTDgZp8ufWQXeEYzgf3sb2pUNM1ZzpUimeOPOBLVMTgyRvXEfj4QH+GWwm/5kmLMVOXxNU8EFilyKJEen7XPVOpbk5hNRuGkwGjg4QwVYJ1ewMreYMXeQpuHxz7MpMMJ29SiFjTnMq8qbso5cJqWxughdVKBpbx+h0ORre8wdYOehIeQVBmpXliGTHyUpVVW5VJXb6Gqz09WR+hw7HX6aDg5hnJNP7apqhMNuDiq1nIUrqzDkGdnf3M9gCiILcLB5gFGHnwUrKjFZj14T0XiQnQN/Jr/YRuPSj7Fq2dfQqBchHjMKa28awHPIRcPcInTaqZ+n3lQyQXKLiy2E/TuQKJSULP0k+vL1JGJu5iw8fdI6iUSMnpaX6G9/E/EwkRrq2shAx9tULb6UvPIVyBUaBnsPcKjpWQ5sfZimt+/FM9ZF/em3svisL1NRdxGjA3vY/fpdOIb2pzTRVyhkRLOOkZ6M6VwRAP7pcnC+2TplzComkwRG3dxiqeB2Ww3nGGzsCLu5fayD+0cP0RRwTyzrjoTZNzrMirwSpFlM18sks388xTKQVmwf66NGV4Ra+q+vqmZCjNt87Xx///8wEp55huxkxOWXX85f/vKXrNc79jrXaDR897vfpbi4mN27dxONTp4dW7JkCTt37sxou/X19axfv55f/vKXWe/Tew2nmtGyw8k7rPkX4I9//CPl5eWsW7du1ttwOBzs2LGDZcuWYbUezaqXyWTEMzRKfy+hwXI0oEEAqg02LEoVY1EvUTH9FLyAQJHWSKt3BlmCBJZYC5EIEiSM2ygBIEIoGabNl7qinApHdHDToVxjIyyG6PKnTmkTEfHHQxlrhtVSOaPhCIG3tmH7ysyVCpNSjSOcuXWXRibHqFYyT5FLq3ucFB4hvXvjPuQIzJfpOFthJV+ixK+UsDViZ797gEtlRTwd7yVpibBKV0jnoI8R39H3liLQmFdI16iT7X2pP6OW4BgooKbRTK5PSWvHCHXl+YwOuNm3Z2Zdo8MdwOEOYK0wsNBqxjfoo+tgZrICgJERLyMjXgoWFFFi1dG6r599GUb8JhJJmvf0olTJqVtZxejQGC/tfJKCgkUYTGtBhBRKgfF140n2b+tGa1CxeH4R+9qGSBz2cFYqZdTMyccTjnCo30HTjteoXHIpyUSc1g2/R2sqxlB2OnXziujuHsPnD2M/tAWvoxMQSMajlNaeSzIRx2itJCe/mprKXBKI9A47WX9RLs0HBqZEOZtyazDaqnGPtNG9/3kGO96mou5CdKajU7hqnYKs83mPQzAN0XXG43RHwizR6mgNBZmv0VKn0WKWyWgLhXjT6aRF4smA1glsHepnvjUXe8iHIzxzs+UJEd0MtPgATa4hqnQ5+KW+lGmKAlCoMSKXZOeCkqmcajhs5/v7f8SX536eal1lVu/xXsdHPvIRbrjhBhwOx6Rn40xIJUW49NJLuf7663nuuee45JJLkBy+NhobGzMmugC33XYba9as4eKLL6a6ujrj9U7h5MYHluja7XZ+/vOf8/bbb896Gz6fj82bN7No0aIpgvtx0/l/fXfvvxs5Kh2n51UTTobpDY7SGxqi9zBXajCn9wVdYi1l7zS63CPQyZR44h7GAqnlD7WG4pR/nw4KiZTFpnIkgoAIxJNJIskYoUQUq0JDh3+AyAwJbSpJ5g2IBrmG0O69yPJyUBTP3GRhVChxZOhRuyAnF2cswNtD4+dwjtmGViWnyTk0YYl0hPSGdSqS+JAEI9RKDJwjr0EvyOgXQ4zGI2x3dyPXSlhRWMzQSAS9oCYcjrGzN7NBRHvQRbsU1i0rpuW1zIjmsXC4A0T0ero6Z6dTHxpyoxMg4M+uGg4QCcfYs+sQ7c7nQGKktOisjNcNeMO0bOmmsMiEpcxMQiHQ1jPKno6j561kwXm0bnwIgNzyZZQvvggR2Ns6gF6rpG5BMU1vN1FQeRqRoJvYYTuwxcvW8eKTP0CmEmg+dHQaf3fbAGXFFiRJkZ7+yRVrQRAw583FlFuDvWc7LZseZOGam9EYxqvuKrWMeNCBVKnJqDEyFfzR1ERZAEoUSqLJJFfk5DIYjdAcDPCcy8HI4dmqXK02q0n9FscIVpWa+ZZcWlJ4PNvUWsr0JhBExsIBFpoLaHZlGiV+FJEZQiqORad/jHy1nhK1EkEQsam1yCUCwUSIoZATd3wMZdxEntKKPTKzTArGq5KZ1sC8cR//c+CnfKHmFhaZTnb96FFotVrOO+88nn76aW644YaM1wsGg2g0kwOHBEHgqquu4k9/+hOFhYWsWLECQRBYunQpjzzySMbbViqV3HPPPdx888288sorJ2VDoCieki5kiw8s0f3sZz/Lj370IwyGmU3dUyESifD2229TU1NDaWnq6X5BEEgmkxOjz5MBW8ba2eqc6hcL4E5R8TiCMq2VlgzkBnOMOTR7ptfBKjOcRpQKEuqMpex0pU5BAxAwz0hyAWSSzL8GOqmaUHM7mqULZ1zWptKil6hYXlBMv8/DoD+1ZlAnV1Brs7F9bHLFtM01/lAt1hkpNOppcg6hlsqYY7Gyy9EzoYHuTASwCQpeiA+jF2RcLCvEJMjpSgbo8LoR9Ela22dn5JU4AVeFbKapUyE8SzcGgM7ht4hJYtRWXzmrh5l9wI2l1Mye1qmV79zyZdjKGkEUp8QE+wIR9h4cYN7idbTvfQ0EGcvXXoSh0MTAiAeZxkp/dzPmgtpJ6/UMOZEIsGhhCW0dw4TCk69bQZCQX74CiURK88bfojdaCIc8hAJeJBIpucvXY11+bsbHFwt4iTiGMZbPxX/MzFOOTM4ctZq5ag05Mjn90QgHQ0He9rjxJBJs8E0OW1HL5ZClcsIRDuGKhFiRX0KHx0Gp3oRMIjAU9NIf8DIaOXqtSvywsrCMbZnYhh2GVBBIZNnFNhzysSq3iFZ/B44UX9PxtEcVFZpiDgVnbvQUmbZFISWiySi7XHveV0QX4MYbb+SKK65g27ZtfPe736WkpGTGdVIRXYCzzz6bxx9/nLfeegudTsfChQtZtGgRLS0tGTWkHcHKlSupq6vj//7v/7jxxhuzPqb/PIRTRDdLfCCJ7tNPP41SqeQjH/nIrNZPJpO88cYbFBYWMnfu3GmX0+v1eL3ejFJh3gvwx8LcsW96D93e4BhamZLA4chNCVCht2FVaRBEkYEZtGYNlhKaZ2gw82cgIVBLFVRobeybYVueDAIkYFxykSmUEgUSlQJxBl3kkpxCOkZd7D3sOyoAi3MLCMaiEwQWoN6Wx3DUO4XkHot+v5d+vxeLSoVEHmOXs2fSU7RcGH8oNIteEGFz0okMgQpBS5VEyzkYSZZATzhMZyhMZyhEIMNoZTE6e6IrJE5sRiM4TWLYTPCHR+l37OaCc7+J13cCD4Q00beCIEnLZKTmhVjLA3hGOnHEzfhGxgliTsliHH17pxBdgKQIuw/2k2PSUl5i5UD75Oat4jILC5Z9jL3zKnH7Q8g1BmQqHSHnIH3vPM5pF3yCgyOZVRydTZsY3foKjVdcx5J5y6hWqSlTqnDGYxwMhXj+mKotgEIQ+EJBMdv8XqLHzFSpZLKsie6RY9061E+BXstux/RSp6QImwb6acwrps1nTxtJPrGvEhki2V87khkuFX88TJsvRp2pilbfVDeYY5Ft8xowJYji/YCzzz6btrY2fvazn3HmmWeycePGieSy6RAMBqeN7L3nnntYsWIFFRUVqNVqqqqqqK6uZs+ePaxYkbl/8R133MGaNWs4//zzp7g5nML7Dx84outyubj99tt57bXXZrV+MpnkzTffRK/X09DQkHZZo9GIx+M5aYju3a3/ZDjsnvb1hJhkviEPERFBItIbGKM3NExvCBaby9Nuu0BtpCswc4BBb2AMmSCd9qZvUegwyFUc9KWvqigEGcFEZg+7DDkf+SoL3ohIeUEuDl9qjaFOrmCewcaO/snTrSKwZ2T8b3MtOejkCgQp7BjL3AYslkwSTjEQ+LAsn6fjk89tHJF20U97ws8hjUhnR5AylZIqtZo1RiNKiUBPOMKhUJjeSBjHNJGw8dDsH77JEwiTAAj4spctiKJIS/8/qco/HVFUwSwIzxEk0zRUzgRBEKiuOwNvYOWkv1uL6+jb/zLJRGwibvh4jLkDjLkDLJxXQDAcQ2fTMOj10T7mAb8H1Da0x/TOanJKiMcTtGzbw6rVK2kaORoCcSykAhTolJQaVVjOXUXpjVcx3NdNf/8g2/JzecoxOm0dNCqKbPZ5WWc08Yr7qK2Y4gSj0gOJzKr2O+1DVBnNRBQRhkPpY8EVUumsPvVMCv9xMcFuVy9LzDUc8HakbLrNUeqp1JkZiYwRSmauz0++D4kuQE5ODj/+8Y9RqVR8+MMf5s0330w7kxoMBrHZUif3aTQannzySdauXcvf//531Go1H/rQh/jHP/6RFdHVarX89Kc/5ZZbbuGZZ545qSQMp1wXsscHjuh+9atf5Vvf+hY5OTmzWn/r1q2IosiqVatmXNZoNDI4mHlj1X8Sm0bbeKZ/R9pldFIlg+ExHNGp0+D2NARZKggYFDIcgQweagI0miuIJOLExQSxZIJIMk44EUUtVRCIh+gLztylbFRocUSn36djkUkU8Xx9Oc0OB8HECC5pmHjQxTkluTj9MdoOB4PUmm24vBF2DKTXFB50jlGbk8MBV3b6Vb1CwfHUb66gwyVGsYvTP9qVEjkxUaQjFKYjFAZcyASBMpWScpWKxXorVrkcbzxBbzhMbyRCXziCL5EgGpy9c0jiBNwAlCoZsVkQ3UFXE8lknNKcRgKzrAgfQTx5YkRdq1HgDUw+BoXaiNZUgHv4IJai9PKX5s5h5i0qYntX+gGiIAiYKxfj6NzNHmsxeRY9ujwVdo+bAr2SQp2CUqMKhVSCK5okKAj84VcPofvk54j6kwz86X6qVq8hsW5V2gf+Zp+HLxWWsNHrIXg4jEQuPTFZViCa+fXV6XFhUqqoNeVxwH20wVEASnVmclU64mKS/oCbWmMlezzZhclkQx12ubpZYKxgINiHSamhUG1ALk3ijI7hiNppD9jJU9pQSpW4Y+6MtplpWuTJiu9973vY7XYuvvhinnvuuWmrtoFAIKV04Qjmz59PbW0t4XCY9vZ2LrroIm644YYpccAz4eyzz+aJJ57gySef5Morr8xq3f80TvnoZocPFNF95ZVXGBsb44orrpjV+s3Nzbjdbs4555yMdLdGo5EDBw7M6r3eTfhiIe7Y9/SMy1Xq82hyp9bhDoXcWJV6HJHJJNis0FBrzGNHGi3tEWikCkq1Zna52lK+XmcspzeYWQe/QabCkQGvrtDmo5JKqNbn0eGbum2FIKdKW8q2kaOVV6lGRdgfYo97XG6wqCgPU9LI2919GaeLKmfh46hTKBg97pjOleXxp1h6bbScqVW3uCgeljEcJWJGqZQSlZIylYq1JiN6qZSwSaRfITLqjjLqieL2Z05MouHZu45o1Uo8WQYER+NB2odeZ0nFlWh1arwnyBtiKVKXsoFalbrJ0VqymNGenTMSXYBoBvsgEWDBsnVI+jbTOM9IoUWLUiZBLCmizenDlxTYH5UwFA7RMeYkHvAzNOqgWiJFbjBR/Klb6Xz0txQ6nOguvxjfNNZcCeAtr5v1RjP/OCy/kc40358GKqmMcJaOEe5IGP9IhFVF5SRIEk7E6fE56fG76DkmwGJ0OMAyWyUt/h4Ss9FWZID9nj7OyCuiLdBCd2jq4NYeGcUkN5CrzGMkMvN96/1a0T0CQRD49a9/zXXXXcf555/PU089NaVym0wmicViM+ptzzzzTF5++WV+8IMfsGXLFlQqFc3NzSxcOPN36lj87Gc/Y926daxfv37aKvJ7ESe73de7jQ8M0fX7/Xzta1/j+eefn9U0RW9vL93d3Zx11lkZm03L5XLi8fh4B+57eGrkrgPPMxJJHwKxwFg8Lck9gmK1BX88TLXehlYmxxH10h8cI8HM1jImmRqrSkvnNDZgAGMz7OOxUMlmdlJYZKqgxdNN/PCE7XxTATI07PcMkhCTFKgsRGNKto9Olhf4dxxEPfdoU8VBr51KqTxjkguzs05SyWSTnKTqJAYGxBAu0pNPSYajf08igScQpDkwLssQgPoeJQallDyLkoWVBkxaGfGkiMMzTnxH3VFG3REC4akP6Uho9s1kGrUcz8yLTUL3yGbyjPMwaArQ6pV4/SdW0Q1nktSWBkp56ml9W9kS+ve/TNAzjMaY3rkjcowEQSoBi0aOVa8gRycnR6fAqpUjCDDmj3FAtLN54zvE8xcTPtxEuGRhCe+4+uEYM4dkJIzkGCIh0+op/fRnGfrbozh+cS8rv/RF2hKpq+k7/D6+VFiM1a+g0GxGI5OjlsoIZeFycAQauZxwPPtrJC6K+KMx9s2Qrrh9tJ8F5kKGYyMEMpAxCbPQ1SZnINHumJdIUkWJupS+UPr75/u9ogsglUp56KGHuO2221i0aBGPPfbYpLhel8uVkdTvM5/5DMuXL+drX/saDQ0NfO1rX+OBBx7gnnvuyWp/TCYTt99+O1/84hd59NFHszyaUzhZ8IEhut/+9re59dZbKSoqynpdh8PB3r17Oe2009JOqaSCVqslEAig07330m9EUeSV4X08N7Ar7XJ6mYrB0NS4z+OhlkmQS+N0+Cc3Vjki6TV1OQo9GrmU3mD6qfyhsBODTIs3PrMHp0GuwqLQ40yRjiSXyKg1FNN03NRm7+GqTInORIGihA1Dg4QSkxvaIr12Qq295H/uo5P+Hoxk96CXzoLoKmRH1xGA9dJcfh/rnnnF5OwGWVKJhOHREEMiHDzmI5VJBawGBTaTgop8DcvnmdCopCRF8Phj41VfQYbcL+D1+PH7spM/CBIBW5GJ4IgPjyuzhsKkmGTQtY9lVdcCoNIo4QSJbihyYoEv8mkGxFKZksK56+hreYW5q66d9JpEAgaNHINWhkknpzBfyfKSfAwqGYmkiCMQw+GPMuaP0TYcxBGITfjvRnwmWl94iPmXViBXjwfXpNIZjxNd1eT3VSgpvOLTjL3xIm9897uc85Vv0mGQEk0eJV8mlYoqs4VO4GyjiSdHxquUpUYjaEW6AzPfI46FVqbAGc/s8z0emQ4U97vslOpMaJXhGQfzsxOqzLxWKBGmJzhCta6arkDHtMu9l4sh/0pIJBLuvPNO1q9fzxVXXMHTTz/NmjVrABgbG8tIVlhZWcnVV1/ND3/4Q+655x4aGho4dOgQdrt9xma343HJJZfw2GOP8dxzz3HBBRfM6pjeTYinXBeyxgeC6G7evJn9+/dz9913Z71uOBxm8+bN1NXVZWV6fQRmsxmHw/GeIrodvkFeGd7Na8N70EhnJu4VutwZq7nzjUXsdqe+ifcHHRhkmpQEtUBlQhASDIVSJ14dj2KNhRbv9ERXKggsMpeyw9WKDAl1pjJc0QD9wTEArAo9Brk6rWPDWNSNUVKQssPb+dTbmC9chUQ5uWLsm8aLdHpk/1g99uG+RGKiIxnAy8wEWyFkn/xUm2ND9CZQLBbQewXaj/HDjSdE7K4IdlcEODqQkEigqtBIaa4Br8eLUSfnwx+rQCUTiEbiBINx/L4YAX+MgD+O/5h/w6EEEqmEuYuKGfUG2dY6gMqkYOG8fNp39xIJpyedTt8hVHIDNmshlQuL6HP5WdBYRl/HCF5P5g1BE8cilZww0ZUcN60vCKBWStGqpJSffi7enjeYN0+J1WrGoJUhkwokk+ALxvAE4nj8MdpHAvQ5AvhSVMyPh1JvwVK1BPve1yleeTEwDdGNRqYQ3fH9k2A763yUtjxeuvP71F11HbWnL0epkuMJh2hzONg5NMgu4AsFxZhlMlzxOL0eD6qAjGVFxWx3Zt5cORv5zhFkY13X63djUaqp0OVy6LjBdK5KT5HGhPSwFaRCIiOagWb/CDJ1V4iLcQ76ephvmEe7vxW5ICdfZcMo1yARIgTiI/QF3maHcz5LLbMPMDqZcPbZZ/Poo49y6aWXsm3bNsrKyhgbG6OsrGzmlRkvXtXW1vKFL3yB2tpaBEHghRde4NOf/nTW+3LPPfdw3nnncfrpp8/acvRdwykf3azxvie6kUiEz33uczz55JNZj5iTySRvvfUWxcXFlJeXz+r9CwoK2L9/f8Zf3n8XHBEvLwzu4JXhXRwKHNWLSfGhlakJxFNXvxYaS2YkuXqZCkdkeqIqIlKqzaH5sM9uvspIgdqESAK5IGOPO/OmEaVketKmlSop11nYd7hSGydJi3ec0M7TF6ORqenyD9Gdgc43lRNDzO4isK+LvP++aMprvtC/JznpWCgON/5IgHVSGw/E0p+3Mp0FlaDgbVcnC6oKSPokM9pPFRsM5Aoa9h+XZrZgSR5KZ5LO7tSNgBaDmrJcCy0HB+nqch/zyigCInXl+UQcfkLBEFqdHJ1eTkGRBq1Ojl4vx2hRE08kCIUTlIe1hMNqwpEEoXCc2vXFGKUKOvcPEQrEiATjRCIJ4rEkR2Z7HaFWGpecSdSkYVfn+L6POgNoNArqGss40NRPPDYzWTSYNJRV59Iz4ESZlFFQnsvB7qkzDXKZgFIuQSGXoJRLUMqlKOQSVAoJGtU4mS3KkzO3qAiVfNyKTBQhFEkQCCfwBeP0+MrYtWMzmsIVeANx4sfZsUkkAmG9kJUkJn/Relqe/im5C09HoTMTT3Gdxb3ulER34hzUNSI359D85EOI3jHcK5dMuneKwMtuJ+eazDw5Nn49hONxdvYMsayohObA0IxSBokgYFNp6JidvXPW93JnJEQwHqMxrwJBkiQhxhkMunBEPTijR0Uy800FOGIjGTu2ZDNgFRHZ7+1gubkKe3gf0aST0ePe5one3xBOhFhj+1DG2z2Zcc455/DVr36Va665hldffZVYLIZKNf21eSxsNhtf+tKXuO2223jyySeZM2cOPT09HDp0iIqKiqz2Iy8vj6985St8/etf5/7775/NoZzCexjve6J75513ctVVV1FVVZX1ups2bUKlUrF48eJZv79OpyMUChGPxzPW9v6rkRSTfHPvQ7R6p1ZbEiSo1Nlodk99rVBtoj84sy9nld5Gi7c77TI6mYIl5hKGw07Gok6csXFivMBQntExAOSrTNgjDhYYi4gkEnT4j/qM5qqMqGUCbf7UFaX2QD+LTFV4MpwqjaXouJdoVSCKJPwhJOqjGke1VI4rmZ2+LjZNw08qaGRy6nJz2WTvoc5aRFlMQkvES2AafaBOpqTWmM/2kQESh1nS/tAQyJiW8BpVKmr1OTS1DzKamCr32O8eAwnUN+YjjMTo7htf36BVUV1kpbVtmKZprNJEBJq67UglAvVl+di7xjjU6USukDGnvpjtBzw4nON6S5lMQKWUolJKUaukqJQSVCopCWWSOSsL0cslRMIRlCoZMrmAUiVHIpcy5shBrbEilchJJJLE4iLxeJJkclyiU1ldjlwmxesOjhNHUUQUmSCReqMKhVJGMBhBkEBllRWpVEAqEThzUSWxZIJ4IjnBa2JxkUgsQSSWJBpLEokmicTGf0JREbVGQ/tAlKGxAN2D7pTnpeXtF7CVLcGmS1051mqVhGaI3T4eco0B2/zVHPjbXSh0JoY256I47SxUheOa8pjbycgrz1Jw8VVpt6MuLqP0+i/S87c/EO/uwHrFZZOS11pCQc42mbHKZDiOCZzYOTBIidGIRCty6Dgpg1mppspgQUxCx5iTLd0DLCkooTU4TDADf9wTRTgRJ5EQ0np5t7hHqNRZUMi9uDPw4Z6NX2406Z9W2ysi8reB3xNKBDgn/9Kst30y4itf+QovvfQSv/71rznnnHOyWvfaa6+dsBWrra3le9/7HitWrECn02XdXHbNNdfwxBNP8M4777B27dqs1n03ccpeLHu8r4nu6Ogozz77LNu2bct63ebmZnw+H+edd94J70deXh52u31W+uB/BZ7u25SS5B6B8hhj/EKVkSKtGWfUS3/QgUJQT7sewEJj8Ywk1yBT0xXoT/ngGAjNbBUGUK7NxRX14Y0HsUfcAFTp81BLVITjUVwJD4Oh9A+mRBalsUiKbnepTo1x/RJcz24i9/rzJ/6ul6twZSAhOIL63DxkgpQ5xhzaPGPpl83JZyTmYbtzvBre7LBzrqqCNzRJagQb7d6j508AGqwldLpdbLGn/ryPJ7yHHG4abAV0dI6ye2Bmn+Mm1yjIoaGxAGtITuvBIfY2ZzZdnUiK7D40hFIhZdm6Glo7R9hz8Dj/37iIPx7HH5j+fM4psmIQEwREkYM9fYiiyDtvfpfVp38HqVSBVCIgkwvIZBIkwuHqnzAuHagosxINxBixe5DLpZRX2QhEY2zfO0giKZJMiJP+TSTGCbFSJaN6URH7OoeJTWObVlmag1alpu2QnehhSym5TEpDbTHN7YPE4kcHQyH/GAH3APNWf3ra49RoFDCLhr6ChvOwzTuNWMiHUu6k+bHfYjvnIvTz6uh/4kGsq9ejrZo+6OYI5AYTa771bV775V3YH/gdts98Eqn66P3gZbeLc00WHh+bXPHuOyxlWF5UgjsZwqJQ4wgE6XA42emZ3Gy6e2iIMqOJmDrGQCjz9kMxy+SzI8ikENzld1KkMZCrlDNy+F4z7X7MooEsE3L84vCThBNBLiy6dsZlT3ZIJBIeeeQRbr/9dhYuXEh9fX3G67rd7glNb01NDV1dXdTW1tLU1MTy5cuntTBLBUEQuPvuu7nxxht544033tOaafEU0c0K72sztp/85Cd85StfybqSOjg4SHd3N+vWrfuXxPcWFhYyNJR9Xvu/AqNhD7/rfDHtMs6Ih2XWMqr0ZkZjTva4O+kNjpIkSYVu+lGxQa7GHklP1AAq9NZpqyPuWIAidXrt8zx9McNh5xSNb3fAzgFfD0gSeDOoviSyqKKG46mJluH0RQT3TZYMGOSqjDq2tTI5y4qKaHIOs8M+QJvLwQJzHrXmqefYolLTWFBAs3+AkWMs25bLTOxL+NjhGqbV6aTWUMhcYy4VeivV+jy22wdxRmbWpO4PDXFANsDiPBt79g/gD2dHqHa7RhgYcBGcBRGLxBIEEwlcnpmbClOhbcBBVKfkYM/4tRePB5FIZEil47rpRFIkEkkSCMTx+eN4fTG83hgeT4w9TcO0HnJSXVtKUJSweWc/TfvsuNxRvN4Y/kCcUChBJJokHhcnKr6RcJz9W3soUKiYV547sS96rZLFtcUU5Ro51DNG88FBosdIJGLxBHv292Mz6akpO/o52zs3k1u+NGVoRF6OnsULihGTsLSyCMU07g3TQRAE5BoDGmsROctWU/LJW3G88yrdD/wMdVEppuWZV6sSChm5138GeV4uw7/6NXHnUYlSayiIVSYnRzb1GMLxOF0jLtqHnWztHaDD4WI6p9oejxufJ069sTDz/Zpl61im9GAg6MUTllCsntoYJUGgVGNjibkclTRzInUEYoY2Ym+O/oO/9D1A8gPgxlBYWMiFF17ITTfdxOhoZsUPGG9eO9I7o1AoWL9+Pc8//zwNDQ3s3LmT+DT38ekwZ84cysvLeeWVV7Ja791GEuFd/zmZ8b4lusPDw7zxxhtZG0EHg0F27tzJ0qVLs3ZYmA4GgwGfz0fiBH05Z4NfHvz7jHozm8rEHncXvcGppHU6m0ypIFCly5kxZrfOVEKLN31OfY5yevF/vbGcjsAAkeT0U5uhafTFxyPTJpNgvxNfNLW9ksysI+4+SjxrjfmM+CKUFehYWpw/ra9obY4Ng1bJ9uMqrfsdIxxwjDHPlEudJQ8BWJpXRFIeZ7dr8rJSBNbILLwVOyo7aHbaaXE4GAuEaXXNPOg4HqET8LqdDcmdwIllMRA/pqoaCXtRKo0Zr5tMioQiMTyzaFKzD3o4tGeQxeX51M0pJBKJs7eln0F7+mrk0IiHzu5RFs0pQqMUGO3eQV7l0dQ0jUpO/bwiqsptDDv97D4wgN3ho6mpn3yFhuqi2QXceKNRlLn5lP3XFzEtW0Pe+ZdmVakKxGIIEgmWj12CbuUKhn71ayK9Ry04XnI7Oc9sTrmuTjGzxd8R+KIR9g+OstJclipsbALFGiPLraVoxMx0nMcjm0rwWCRAvz9KpbaAQrWFBnM5i0yFWFUSxmIDtPrb2DzWSY1uXlYx4tlc/Fscr/Foz6/e92TX6XRSVFTEOeecwwMPPJDxeh0dHZNkiZ/5zGd4+OGHMZlMlJeXs3fvXsRsRO7Ad77zHX7wgx9kvd4pvHfxviW6P/7xj/n617+ONIuIymQyydtvv01FRQX5+en9LbOBIAjYbDbGxrInIieCjaMtvD3anHaZUk0uTe7piWh/cGTiJq6UyqgzFbHEUoJJIScuptfVGWVqhsLpLcMkCAQTAQxyKXkqLWVaCzX6PBYYi1iVM5d93kMz+ksGpvH8PB7pyPIRuHZ2s/O6hxl6/DXEFB1p4UPDSLUqZIKEpeZy9o2MMRYO0ut3s8vTR75NxYrSwonGMaVMyoqiIlrdIwwFprdZa3WOsm9shDWFZezy9OKNTT2mFTITTQkvoRQP68As/EgBolnaoh2LEyG6ySw1zccjeozHbSTiQZFmsJQKs9FWHovRQQ/NBweJZdDgNvGeIjS1DuDoP4BWZ0SpMTOnIpeF84qIA3vbBunonXqPGLZ76Wsbo7GyCJUis9mpqkIrS6qLqLVYEQCpSo1l1RkI0uxmt3yHrytBEDCuOx3Lxz6K/be/I3JY5tIeDmGWyrGlqOqq5dm5fSRFka19AyzWF6M9vD2DQskSSxHLLKXky4z0u/xsGxzgre5eFmvLkQvZVbuTWUoefLEIiDLc8WEO+ttoD3QTSEweIG139FCuqUEqZPY4zTYYYo97E8HELLv2ThL09vZSWlrK5z//eX7zm98QCmU2CG1paWHevHkT/7/gggvYt28fhw4dorS0FJlMRldXdgl5VVVV1NbW8s9//jOr9d4tHLEXe7d/ZkJfXx9nnnkmtbW1LFiwgF/+8pcA7Nmzh5UrV7J48WKWLl06SUp65513Ul1dzdy5c3nppZf+befsfUl0+/v72bRpE5dddllW623atAmNRpN1ukomKCwspL8/c+udE0UoEeUXB/+WdhkJEuKikJZIeuJBTrNVUm8uRC5J0urrZZ+nG288hEqavmJTrrfiiaWfnq4zVdAdHCKUjOKMeRkMj9IdHKTN30s4g85niSCZ1jHieARnIMSJcIz2H79E/ZcvZmjHHnpu+BneXz1Dwjd+DMlIjJH/e465/30ZxUobm4b6Ob5nbSjoZburB7NFxtryEnL1Wrba+zOmVbFpPgspAqtlFt6OTW0OVEikxGZJHMMZ2FalgloqJZHKmiJDJBInRjQjxxB0iUSO19PDti2/4OCBvzE8tItYLP2D8kTfX63NvFp5PBSGcqRKC4e2PkjTgXb2tQ0SmSGcQhRF9jX1kyNVMac4tZyoJNdEY3UR+Xodh3oc7DkwQMuWARarbeRoZzc75YtO/m5p6+vQ1NcROdQ98bcjDgzHQzXL5ts9w8OUy3Oo0eTi9yfYNTTM9qEBhgOTyd6OoUHKZfkYZZlXd2cTyiDPQL6229VHvrISRRpXmAkI2e+D5P35qAYgFovh8XiwWq3U1dWxfv16br755owqqjU1Nezdu3fi/0qlko9//OMT4Q91dXUMDQ1lXWT69re/zR133PGereq+F4muTCbjrrvu4sCBA2zZsoV7772XlpYWvv71r/O9732PPXv28IMf/ICvf/3rwPgg5YknnmD//v28+OKL3HLLLf+2We/35bfnzjvv5Jvf/GZW+tq2tja8Xu+EcfW/GmazmUAgQDicWfXxRPH7zpewh91pl5lvLKcnkF4PVa0rYLuznQPevikV0cE03reZSBYKVBbafNN3QGcyxaqVKkk713kYepkanSx9Y51sswPN3HzU58yh7p5ryb14Me7OQzQW2JhjtBHY2YYpzwa1c2hzp3ejGA0HCCQi9Pmyy/eaznZsXJubupqrk6ePy0yHUGh23e46+eyJHkDsBFPHQsdUk82WKlaf/l3mzb8MrTaX4aGddLT9I+368WkayjKFQpm9N/ERyOQq5q76JPkV9TS/8is89ulDBI7HyKiP7oMjNFYUoVbIyTPraawpptRqZGDAze4DA4w4JxPCjgMjKHriNBRkN0tlUCmIpyCGMoOBhO/o7ERbOIQ5hVZ3Nul/RxBPJml3OUjOQDQOOEZRRXUUq1LLJ6ZsV8z+upNnGHO83zOAUVaERpr6PqOUKKjQFqMQsv++ChlWi09GDA4OUlhYOHG/v//++9m9ezf33XffjOteeumlPP/885Oeq0qlkuhhX3OJREJjYyP79u3L6tlbVlZGQ0MDzzzzTJZH88FFQUEBS5YsAUCv11NbW8vAwACCIOD1joe1eDweCgvHtfjPPPMMV155JUqlkoqKCqqrq2dlHJAJ3nffnp6eHnbt2sUll1yS8Toul4uDBw+yevXqf0nzWSoIgkBFRUXW0yjZICkm2ebYxw+a76PJ3ZZ2WYtCT6t3MO0yMiQEE5Fpp3lHIh6K1JaJ/1sVOhrMZdSZClHMcB4lggSNTEoszTReJqNpbQbVnCK1FZ1MzlBomDpjMWWayRUxhSCjVl/Jnhc2Yj17AQDuHYewP7eHeT+8jF5hhLFkNyvmL8DtcOGPZTZlL81yWhVIqcUb1+aaJ2lzj4U6xbRxpggEZ0d0tSmaqLJBJHpiRDMQmFxplEikGAzFFJeupmbuxXjc3WnXj54g0ZYrT8ywRhAkVC46j+qVn6Bjy6PYO7dkvrII+/b1U1eYx+iIj90t/fQPpx9Q+fwROjYPscJcgFY5/SBFIZWwqCCfxvwCCMMKVSH64wY1UoOecEcn0YHBie9oqqrudHr1TJBNNXjA78XhjlOrL0i9LamMBeZ8lueWYJBlX9nOJpyi3WdHhhWjXI9JbmCevpzFxgrm6swYpF58sYM4Y14siswb7+D9XdHt6+ujpORopLpWq+Xpp5/m+9//Pr/73e949tln8fsnD94SiQRut5v8/HwWL17Ms88+C0BrayuPPPII11133cSyarWahQsXsnPnzqwqtN/61rf4n//5nxOWWf3LIY67LrzbP6OjoyxdunTi57e//e20u9jd3c3u3btZsWIFv/jFL/ja175GSUkJX/3qV7nzzjsBGBgYmPS5FxcXM5CB889s8L779vzoRz/itttuy7jhIh6Ps2nTJubPn4/RmHlDy2xQVFSE3W7PuhN0JjijHp7ofYEbtn+PO1oeYIdrP8YZtHw5CjOhRHrCVmcuS1u1BSjWWGm0lFOpt+JNeGj2dtHq6yM6gx623lhOzwzBDamqScfDINek1enVGorxxryMRtyIiBz09TAUHmaBoZAqXT65ShMWhZW97h6kOiViLEHw0CgdP3memm9fjKro6MNbW1ZIfNRFMpyZVEIyC3uaeIqK7VKZkeaEL2U1F0Cdpe7yCJQS2bg37Cww2/c8gsgJpI7JZZJJ0oXjodHYiCcihMPTk7/wDElrM0EmO/FbZyAYxZhXw4L1t9K37wX8zr6ZVzoGs9EZt+weJNcpZ57taHObUiadILfKhJTm7mH29AwRiETZ1z1MjlfFXP3R5TUNi1GWl2F/8CEGfvwTXC+8RHNPN1a5HOsxBPVE7JnkWfRWwLjE4sCgi0ZjGXKJhLlGGytyS6g120gQp8UzyPaxHt4Z7qVOXwVZ2DNJs/yoe4MOSlS5yIQhxiL76Q8144j2Iwrjgzt/3IcrGsKmLM54m5L3aUXX5/Mhk8lQqydXwaurq3njjTe49957ufrqq7nkkksmVWS//vWvU1VVxZtvvsnnP/957rrrLkRR5LnnnuPKK6+cEvBks9nIycmhtbU1430rLi5m1apV/PWvfz2hY/xX44iP7rv9Y7PZ2LFjx8TPjTfemHL//H4/l156Kb/4xS8wGAzcd9993H333fT19XH33Xdz/fXXjx9HikHHv8vS7X317enq6qKlpYWPfOQjGa+zYcMGLBbLrAIlsoVEIqGkpITe3vRJY5lCFEV+fvARrt/2HR7reZ7RyFGD9pFI6iYwAag3VrI/ja8uQIHKzH5P+gevUiKjPzRMk6eTvuOiNQ8FhlEIqclQkdpKaxrJwhHMFKpQrs1jNOxCJ9dQb6xEIZn8fg2mSjp9fYRSaH3b/X30BQdQS9UTbhMKi45Ah53W7/6V8v8+C8PCyQ8iQSZDXpxHtDt9JXxi+VlYshx/zBJgrczCW7HpBxwKSfaVYzgx+YFJrUKWLQM4DItZg0I1e6Ks1aSf+hUEAaOxDK9neulMMHgCjhEwvR1JxqsL+IPjD26VLoeKxo/RvvlPxFM0IU6LWe7C2KifwR1jrCsqY0l+AYqYZILcBlMMQOweP0NdblabShBEkKrVWC68gOLvfIucT1yJGA5jv+8B/vLY45whO3pNzcZj9ghmUw2Oi0m29g1hVqpp89nZNtZDq8c+ZcC8ZaSPebpypGT6vcl+QCGdQU4VTAQYCXvJVWaWmCm8vx7VE+jo6Jg2xWzBggVs374du92OxWLhE5/4BPF4nJaWFv74xz9y//338/GPf5yWlhY6Ozsn9KEmkynl9ubMmYPb7cZunzkZ8wj+3//7f/zkJz/5jzgmpcN7UaML43rrSy+9lKuvvpqPfexjADzyyCMTv19++eUT8oTi4mL6+o5yjP7+/glZw78a76tvzw9/+EO+853vZDwqaG1tJRQKTSSrvBsoKyujt7f3XyJyf82+hTdHtqdssHBGPVTpjlZhbEo9jZZyijQ6QknvjNvWy9Uz2nHVmYqnNVSPJGNU6CZrAks0VhotZZRqzMQz6DxO9/61hhLsIQeeeABX1EeTpwuNVMkiUyV6qZp6Yyn7PB0zRu2Gj0lkCvU7GX2lmZwza8k5c/6UZUVRQFFaQCRDojubj/j4SniD1MjBRIDgNElKMJ7Mli0KVUaKZVbqGvMx6TNv5ik06WnMyWf3/gF0FQbm12Z+YzIZNdTVleCJRun1+VjQWIJWl7leUSqVsGBBEUqLirmLi8nJ0U27rNFUjtuVWiZkMKhP2HUhi4JgSmg1ikmNjNaSRRhzazi0468Z3xviKdL7MoUoikR8Ufb2DBGMzlzdjieS7G4doFGRj0Uxfr0IgoCqvAzLRy+m+Nvfok0uJS8QxPDPl8ixuziwq4UCl5/IoR7CHV3EXe6M9+9EKjvOyMye2jvHBihVFaGWzDzYEzLoATgemfD0cDLMUNhJvqoyg304uX1MU8Hv9xMIBMjNzZ12GZlMhkaj4U9/+hMej4cf/ehH5OfnE4lEOP/889mwYQP79+8nLy+P22+/nS1btlBdXZ1yW4IgsGTJElpaWjJ2dSgoKGDdunU8+eSTszrGDxJEUeT666+ntraWL3/5yxN/Lyws5K233gLg9ddfp6amBoCLLrqIJ554gkgkwqFDh2hvb2f58uX/ln173ySjtbe309XVxbnnnpvR8i6Xi/b29n9ZKESmkMvl5OTkMDQ0dEKjl1Aiwp960jfc5Ko0aGWlJMQoXf4Bmj3jFV8BAZvSzGgktWVNvamcphk0jmXaHPZ701dl1VIFC4zFgaug6gABAABJREFUqKQShsOjjEWHGYuOv3+toZQD01SV85QmrEodI2EXi00VtHj7JpHeRaYKmt2HEI97ALljAdzuLhabKmj2dKbdtyOYRHS7R5Gbtejnp06wi8bihPd3olvbkNG2Z2qkSYXYMVICAf4/e/8dHllaXnvDv70r5yCpJFUph1ZqdU4zDBNgBgYwmOQxYDA22AYb+OyDX9sHYxOMsd/X+djmHHMwyQSTTRyYRJjQ3dO5W+pWzqoqlVSlyjns7w91kFoVdpUm9PiadU1fc6l2rLD3Xs/9rHst7lbV8elU8cqkQhA41NDCyPoKu+2NpPN5piokrRkUKoaMLs56V1gubEQo65tU7OttZuqKn0SJKX2bXkevxcblKx7W8xsDJU8oiocoPQMN6FMwPVe8sdFi1tHeUc+V2RUuTNz4zs9PujEZNQzvauXKJTf5XPEKoFqtoK+vmeX1MBfmN4JXlgmjUSkYPtjG5Khnm5Shrr6fi+c/S6/0uuuNPE6nFbvDyJVZH3qtmqGOFi6PLNfk6VvLd7sZBr2GcHprVbl9/+sYefifCK9MYG3uL7HlDZRKaJMLUVX9fe/K0ip1Jj2uZgcjkVVEBPrs9ZhVGpZfbueJbJo777yLT//rv4IAokKBQacjLuXJen2oW5wYX3obhv3l069q/XyNKjVp5FXFR4Mr9JjrUYmhbWE0AHVqA21GW8V+g+KQV83OFNIsJ3y0GXrwJG80JQoI2NT1WJRWlKKIJzlNq75ymt0LCRMTE/T19cki8Wq1mi9/+cscOHCAvr4+lEol4+PjHDx4kK9+9at8//vf5+/+7u94/PHHy+5Ho9Gwe/duzp8/z2233Sbr2H/8x3/M/fffzwMPPFB1+NSzhVvRC+Kpp57iS1/6EsPDw+zbtw+Av/qrv+Izn/kMv//7v08ul0Or1V7X9g4NDfHAAw8wODiIUqnkU5/6VFV2sNXg1vjWngF8/OMf5yMf+YisH26hUODEiRP09/djNlfnv/lMoKurizNnztDc3FzzSP2bSw+xnilfmc1KOSai22USEhIdRvs2oqsQRHpNzSwlyjsxiIBarGzVIwoSs7HtZFhCwp1cwam140ndmJLXKzTsMjkZi8zjz2y8HsxGsapNOHWtjIfd9JlbGAnPlJ22reYTTeZvECTpquWUWELfvPCLMyisJrS75E035qtoYmg2mKhT6fGEohxxdHAhusyAoGe2kCBWpJrbZ6knKxU4tbYx9XM5uDEdt7eumXAmzXz0JqmDBAdtrcwFIpy8SfCfyGU5HlzC2qFlr9bJ2OgKmaukU6dSsafRwdS4j0uLxRsFptc2jjW8p5n0WpJlbwgAk1FLZ1cDY3M+zo8XH9RE42nOTrlpajXj0OsZv3yjWq7Tqend1cjMSoBzs9ur6OlsnjOzHhqaDHSZjIyN3jg/g8GBUqkjEl7k4OGjoBKZmPUwt+pDqdIRzia5FEnStauRfCLL8lJ5LTps6HJ37WoimcmxOONnzy4nlyblVfdvhl6nhuDW1xRKNY3dR1lfHpVFdFPZHWr9axzfB6IJgrEk9+7t4vyal4mVG4OrFeC+nh4G/+h/Et003fuyFicXAouELowQ+t6DFOJxTHfcVvIYcvT5xWBSq5GnoN/AdMSPS2/BoVGRl3K0Gm2oRAFfOoQ3GWI0EoEIvMSxi7Fo+QbfrZB//lkpy3zcw6BpL4KQIluIEc54yeSXWctvXDdfnvs4v975cVz63irO4dZFJBIhnU7T0FA6efNmOJ1O/s//+T+88Y1v5PWvf/31Dn+Ae+65h/e+972cPn2aw4cPl91PQ0MDa2trTE1NsWvXrorHdTgcvOIVr+ArX/kK73znO2Wf77OFaz66txruuOOOkrNRZ8+eLfr6hz/8YT784Q8/m6cF/DchumNjY3i9Xl72spfJWv/kyZMYjcbrJfTnGnq9HqvVyvLy8pauQ7nwpQJ8b/mnZddp1zsZCZXWAqfyNyoYHQYHNrWepYSPmdgS3cZWgpnS03/77R0bZLMMBARW06UJczKfxqTMYVRoSeRT7LZ2sJzwFd1vOBslnI2yx9rD2aC8Sq1cbNbvKgwasusxxCId9ZIkMfH1B7H88p2y9rvX6iKblhiua2IksFJyPQE40tjKqM/HytWUuacXPTTojLzW1sS/JbcOFMwqDX02B2fXloqO6i+texGAg/UuVpIx3PEwvcYGCmkFp5dLnwdAKJ3ieHoRxy4D/aIdTVhkeXadixfk+T+PeFYRgf37WtBIImNzKyUJ7s1Y8UdYIULPUCPqLOj1aiaW1zg7XbkLdy0SZy0Sp3eoEaI5FhcDqJQKdg/fjsd7kp88MkE0tEgstOFnbKnrorHlIHWNg8wurCGKAsMH2pgdXymq3bXZ9LS11TPvDjA6deMzvHJhmf5eB+FMBu9aZTnQNZgMGhrqjaxG4kRiW6uPVucgnon/gyRJFQfBiSpjm29Gbgd1oYIksR5PEkxuPX8J+EUwzF12Cz9cuzF4OLfsodPeQMMdd7DQ4mTlH/83SpsN3dBWQt9lseHQGVCIIqIgVF3ZNajV+Kt8W+5EmNvNTq7EZ7gcKf49PrW6zG0Nu5iMTcmUvVRXbc9LOQpkWE1eKro8VYjzH3Mf5Z1df4FTV3xq/oWEsbGxLUEPcvGGN7yB4eFhNBrNluvDZDLxiU98gg9+8IM8/vjjFa+d/v5+jh8/Tn19PXa7vey6AH/0R3/Evffey9ve9jZUVQahvIjnH/8tNLof+9jH+OhHPyqrOrq4uEgwGOT2229/Ds6sNPr7+5meniabrb77+/Nz3yVbxg9SQCCVL/9ZLMRXOGzvolVvxZ1cYTQ8ez3Ot1xHfYPGyHSscnd4l7GJQCZYdp3VdJAeUxOt+joubzp+KYRlNurIfc6pRSX5TQ9SrdNKLppCKFbRXU0QW15Bu7v8Q0avUHHQ3M559yojfh8jaz76rQ0M2rfr0FwGMwMWB6eW3SRuqs7VFWAyHkPMGDhoaUOByMF6FyqFyJkSJPcaJOBcwM1qMspd9T1MroSYCpb3/d3yVpNxLqS9jJxfJhguH/hxMwrA2WUvI9OekjKIcpheXENpUnF2yk2syuS1KU+AmWiYQy/pRlevpaDrJZnKISpUtHbfzeGXf4hj9/05Dc49eBdO8PRjf8XM6PeJhNxcvLKMwqRicPiGbKWrq4GBIRehZJrzV5YJFokMnp5aJeSNcqC/BZWy/LRbT4eDoQEncSnH8dEFEAV29261xNKZGjau32j5WRWAaKKa2uV2ZCo0e1ZCMlf8+70YjbFLr0d305T/3HqQZCTHof5hGn7r1/F/6WtInhX2NjRxuLEFh8bI3HqIp91ujs8vscfShKHKhslaQyrkqBNOrC3TbeiRZfVVqJLoAhVF/dfIrjf57FlUPhcIBjeeC3IIZjFcunTpeiDEZvzGb/wG0WiU//qv8kFJsNEYfuDAAS5duiTrGVxXV8cv/dIv8cUvfrGmc36m8XzYi72Q8YKv6I6MjBAMBrnzzsqVtlQqxcWLFzl69OjzrrVRq9V0dnYyOTnJ0NCQ7O1Gw9Mc958vu06fqYvzwfLODv3mds4HixvVL8RXUAjiFmmCiECPqQmH1sCp9YmK52lSqZEjlRMQWE5WfqhbVAZmY97KO0R+nr1WoQFu3OR2/fnrCZ2ZQ9+5dTqtSVNHsqkJ/f4uNI8cZ9evv4nLge1a2F0mB5FYjtPerdPZ4+sb6w7WNZInz1QowGFHC5dWVvDkiuuk7zXa+HpolbV8Fl88xm0dbTwdmJf1vq4hJxVIZGur2+mVKqC2iqFSFMhUEY17M8Qa3Rxgg2gnczmC4SQ6Qx2Dh3992zqNLQdpbDlIMh7At3yGy09/HrO9na7BXyIUTjK0t4VIMMH0krzBQTaT59K5RZxOKyqzmplNMb5Ws46Otjo8gSgTnq2/83AsyUgsye7eJty+MKFIklw2RS6bRKMvHYCgVinY1e4gmEkT30EMc2qHNofREn7SBeB4KMwdNguPBLYOdiPpNJeXVnnVS1/OSEHk3N/9C8tKBVIuj/HoYWyvew2ieoPcXlrx0W61kFJrysZnb4ZGodh8ScuGQuZz/JTfzQF7J8up+aINtSICLn0DCqH6z1aSQY6T+RhfnPsIv9H5CZp0xd0KbnWMj48zOLi92bcaFNNyKhQKPvnJT/KhD32I17/+9RV7b/R6Pd3d3YyOjrJ/f+W+iw9+8IPcc889/Pqv/zpq9c4Cc3YEiVtSunAr4wVf0f3oRz/Kxz/+cVnrHj9+HKfTWbbL87lEe3s7gUBgmxl2KWQLWf595ltl19EpNMzHyj+gtQo187HS1dZoLkmPsQkBgR5jE4fr2nHqVXjT84xFJmjTl9dVaUQVC3F5nqC+VGVtJECLrlG26k3udGeHwckhe/t1ey5RrcR+ey/ipsrcgLGbpWiGpUSI5ve+mtkHn+LKyCkOOO0M2DdcLRSIHLF2MOUL4YmVfiBfCawyEQjwksZ2Ti27SZVoJupUa4kW8qxtapSr1aipUGNnfi1ODtegLxNIIAc7vSnJfQToDHV09L2SQy/7I/RGB+ce/18sTf+cWDx1XWdcDTyeEAsTq+zrdTLQ08RAfzOhTJqzk268gdLShtGZFXJSgeE+J9G1WYz2VsQiISBdLXXs3+VEi8jYFTf++SAHe1w1+TUDxNI7kz6E0qU7109Houw1GVAXOTcJSKWzBLo6aPn4n+H6sw/R8ucfopBM4vnbfyQXCl1fdyEUJh3PM2CXp+VU1ThIkqqI5T237sWhbkMjqlAKCjoMTeyzdjJkcWLXQDC7xJVICIemumZjOUQXIJmP8sW5j+BLzW9bli2k8SSnuRJ+ckf2bs8WVlZWUKlUz5pn/atf/Wo0Go2sqi5sWFzlcjk8nspae5vNxhvf+EY++9nP7vQ0d4wXK7rV4QVd0T137hzpdJrbbivd1HAN4+PjZDIZWSO35wqCILB7925GR0c5duxYyfXiuQQ/Xf0Zj/gepSDVld1nh76Nc8H5suv0GNo4W2GdBq2eREGDL7OAb9PzMCPlyElJTEo90SKdygC7TE6m45VjTVt0DhYrNL5dQzIvv0xTybpMK6ppNzg5d1XvW6c14dQ6uBRcInv14aARVLTp2nl67YbGVGk10vDAS/F96THGd21McR9yOQmtqbY1eJVDuoIn471GGw9Gtg5WarE4ArZIM6qBRlQiz4BnO3QqZVUNQTdjB65ZQPW2bgqFmva+V+BoOcjkxW9w6vH/oLHt1bXFrkowenEZe48Nr1++bjcaT3NpyoMi7aGp/Ua1q85qoL3Jhs8XZmF267WSy+UZPb/Irq4GgvkMvnV5A2YApULcEdHVqJSEy1yTeQlOh6Mcs5p5PLg9uKNw9bmp0N9IKmt4x9sI/uBBgt/7EQ3v/LXrr4dSKWIraQ63uDi9uvU6EwWBHqsdu06HPx1nJLjCYJ2TK9HqmgSLJRKWw2jIx8uaOllKTuLPLOC/6aOM5ZLMxDT0GF340vLuDVIV8cSJfIQvzn6EVzt/i0DGzWpqntXUAusZ7/UZrUP2V/Nq5+/K3uezjWw2y9jYmKznda0QBIGPfvSj/Omf/ilveMMbKlZ1BUFg7969PPXUU9jtdrTa8laLf/AHf8BLX/pSfvM3f7Piui/i1sELuqL7sY99jI997GMV14vFYkxNTXH77bc/p1ZicmC321GpVKysbG8UCqTX+erC1/jghT/kW8vfJpwNU6cufXE1aOxlG9AAHBoblyqsA7Ca9hHKFk+WCmRCtOjNW9J6GjQWDtg62G2pI5HzYlYaKh7DqpbneGFU6piJlW+kArAo9eyzdpLIJRkwtxcNbHBobFjVVi5HbnwGwUyUy5EZGnVaDtjacGka0An1nA1sbaQqpLMEHzqH5aW7r782GVlhsgr9K5SvODcr1YgIuHNbn5y12mjmaoyv1NQYQgGgrZDKVwnSDpluoda0N0Mdu4+8m2hkjcnRbyPtQMMaS1ZP9ZORVSYvPI69bS9H97TT39pA2B/j4qVFVnylU97mZtdI+eLs7ylfQRQE6GmpZ3+vC4NKSXvBQKO5tBdxOVh0lf2PT4YiHDGbij5kSoXBWF7xclIzs6Tm5re8nitInF30ctTRSp1Wx8EmJwebmzEZVEzG1zjpX2Q6GiCey3J5dZ39VnnOKNeQkWrQOwg50lLp7zmeTzMVS9OklZeAVqiC6G7sP8xx/7f5xepXGYscJ5Bxb5FtnVl/kJ/6vlTVPp9NjI6O0tvb+6wTxNe85jWo1Wq++93vylpfrVYzNDTEhQsXKnpYm81m3vKWt/CZz3zmGTjT2rCRjPbc/3sh49ZifVXg1KlTCIJQ0UoENiQLnZ2dz4uVmBwMDQ0xPj6+JRr483Nf5I8u/QkP+R4mVbhxM13LLCPeROBUgpJBcycubeP1imQpmJTmiut0GRrwpsr7sc7Glzlo6+SgvYN+s4UcXuYSV3CnlljPhWjSGlGWieZFEvAkyh8DNohpl8HBXmsryhIVNo2oYr+1iwJZRsMzuJN+xiILOHX19Jnarq/Xa2olkk2znCx+XH8mwpXoLErByGJ8u7Rj5d8fQtPuwHrfjVkBTQ1T/OVsx15mtPFYEVlJrQEH2RpJn7rcd1cBmiLT7tUgt8MUotwO/GUVSjWvffMfkUlFOPnTTzIx8k0Cq2MUqphREESBeJXJa4V8jumnvkzLnvuR1FayqRxTMz7ZpD+VynHl/BJ7XA6sxq1xqq2NVg7scuEwGZhdWOPi+DLReJr5WT8spNjnbCqx19IwaisT3bQkcTme4EARMl1KHyxqNNhe+2rW/+t7SEWuk9OLbrQaJWfXlzkbcBPObG8EyEkFTnm8HLLK17BWiiwvjsq/s0Q+zWQ0SbO2srtOoQZNfL4COX5y7Ruc8H+36v0+01hdXSWTyeByFfcofyYhCAIf+9jH+PjHP05B5kDf4XCg0+m2JHWVwgc+8AH+/d//nUSiukbdZxIvSheqwwuW6Mqt5o6OjgKwe/fuCms+f9BqtXR0dFw/17PBc/x87Rfki0zBx/MROo0bNwurysQeSxcWtYLZxCSLqemy5LLX2MqVSOVpNJtGV3EdAIWQZTZ+BV96e5PYYnKZIXPxm7tRqWOfrZtMmZu0XqFhn7WLeC7IZGyGydgkrQYt+6xt13+0CkFgr7UDk1LFSHh6W9SvO7nGRHSRDn0TB2x9TETcxPKVO+SKVUGz61EiJ67Q/Huv2eLucXPssByUkhPYFErqFSqmM9tFA5US3kohUyNpVO7g1qDeQTMZQK5EcIRcZDI7I8oajY7hw+9m/+3vx2BsYnn2F5z82SdZnPmZLMJrNGqqtsVauvgjNEY7jp6Nad18jQOUiXEvqlie/T1ODvS5aKu34PYEuTC2zFpwu7QhHs8wfcrDEYcTjUreb1mjVNBoNaKQMc3wRDDMHdbtesxYrjSpMxzcDxLEzxZvug1l5RGMEx43+82d2woDN8Oi1laMGy8GuZraRD7DWCSBU9u2bZlVZaPL0EO/qReDsnQDYilUIroAj6x8jgvBR6ve9zOFbDbL5cuX2bNnz3OW8Paa17yGdDpd0r+1GAYHB5mdna2YmmY0GnnHO97Bv/3bv+30NF/Ec4QXJNE9fvw4Op2uot42Go0yNzf3vFuJyUF7ezvZbJZl9zLfWS4vpLer1QxZ2shIISbjE8TyGw+wRD5Br6n49KVNbSIqw0ZFLSqYj8vTlPkzq2WXT8SmGLZsxFs2aKzssXbRb24EokzGrqAS4+y3dqFV3GheEhEYtnRiUAqMRyfJc+NG7k8HmYlP0WMyc8TeQ5PWwuXwLKFseW3ifGKF6diK7IauYkEY6YVVtJ1NKG6aslXXMMVfSk5wt8HKz4pUkuGFRXSVO5QHpXcYhJBO11Kdu4Fr05davZ2Wzpey99h72X/b+4mGlzj9xN+z5r204Y6QS5PPpcnnMuTz2evbVRNrLBXyeMd+zvrSCF1HHrhOBHI7cK2IRJOIqQIXriyz7AvJ2ubKuWXas3ra7MWbhNRKBcMtTexra0YhipyYXGRQX0/dJo1tMcTyeZbSaQYMW9cLp0oPOAVRxP7GXyb4gwe3TSVrlUriJWzNiuHUipt+fSta8cYsg0IQ6LM4ONrQRq+5jlg2RTarwaIq/15uRq4KuUOqkOFKJE6PcZA+0y56jO3UazRkpRV86cssJUeZjc/QpK3OW1beOUj8wP0vjEdOVLXvZwpjY2N0dXWh08kroDwTEASBl7/85RWT0jZDpVLJljD83u/9Hl/84hdlN5I/s3juq7kv9IruC7IZ7WMf+xj/8A//UHG9EydO0N3djdFYmw7tucQ1UfzDjz9CQL9e9puJ5uLMJ4ob8WsUNx6QAgI9JhdqEWbji7SZ7CxUKIYMmJ1MxCr7NHYYmlhNV9b6uhMLdOqt+DKrTMe2EuN0Ic1UfAyr2kijppN4LkNeSjEVmyq7T29qDQG9bMeGZm0dS8nynr6bUYyIppfW0LRu7/xWiQqq9UTIFiGfekGkW63ju5HisopKKXTFsNvWjCGnYyUek12xUiBwxNyCZznK8KEWpkdWSKblEU+tWsnu1iZmFv0MD7ewMOffFohQdnuNioGuRkAiGNJWte01iOyc6BarpuoM9Qwd+HVCgRlmx3/E5Mg3rw49pI3/pAIgoVTp0RvN2LqO0tj7krLHifrnmT/9HZQaPQMvew9KzQ2ildrhe6jFos2zHEK9quDwfien3R5UCpG+5gaUCpEpr5+RmwJHppb82E06BprrGfOXliH9Yj3ErzQ6GItv3HxUokg0ky5rjyGl0oj67cTIqtWSkBnxew0X/SvsstZTb1aRlXLMRteYivpurCDAdDhIm9FCvUaBPy3PyixTqE6HnSpkSBck1jMjRZcXyLOQXKRNtwtfSl4KW16m5EKiwLeX/pa3tn+ULuNe2ee8U/j9fuLxOMPDw8/ZMa/hzjvv5Ktf/Sp/+Id/KHubhoYGvF4vi4uLtLeX1nnr9Xre9a538alPfYo/+ZM/eSZOVzakF+3FqsYLjuj+4he/wG63V5QijI2NIUnSjv36nkuISpFzpgscWj/Ak/bjSEU67Vt1HUzGSqdNuZPzNGmbaNRaWcussZicv75sPDrDQXsvZ9eL65CUggJJpv+jVaVjVcZ9vtXQxFSRGODNiOVipPPTFCQV6UJlnZpOoWU+Xrk57RrqNNaqiO41DXMuGCMfS6JpbSC9sIpu13Z92YZUpDpSUky68BKDhacS4W11W6UgcLihhRVvjP11rZyPLVX0z2rSmXCoLJx3b3xGzQYTzXoz532esnXhfaZm4msZzns3pCi+aAx7u47d+kauXPKUtCpTKkT2djQzv7zO+bGN3+b5KQ9GnYY9w61cvuIuOxWv16ro62xiZnHt+vZGvYa9Ay5GJzzkZehUVUoFQ11NrPk2nA529TQxOS3/N7IZ5aQT1rpuDrzk/1d0WSGfI5tNkMtOsOCep7FE8GIunWDx4o8IecZo2/dL1LXv3zalW63GdxtqfA5mMnnGnl7mrjs6Oef1MrrsK7v+ejRJOJ7i2EALJ73F70v+bI54IU+bVsNiKk1vQx2TsUDZ2YbwT3+O+Z67yK74yK2voxscQBAETBpNTT65k6EAK4U86ULp+9tiLIxTb6RJp2AlFaq4z3SVRBdAqCA1yEs5lpJuWnQ9rKYqO9dkyzTDbd93lu+7/4k/6Pu87G12gnQ6zejoKEeOHHnOJAubceedd/K+970POSmDmzEwMMCTTz5JY2Nj2ca597znPRw9epTf/d3ffc77f17gvWHPOV5Q0gVJkvj4xz9eUZubSCSYnp4ua9l1K+Jx/xPMCDOsqtfoj/VtX0ESiFeYipYEiTwxxmOTRZPJFpJzdBi2WpS16es5bG+jWZ9HJeaLuhVshoiIJyXfTksO2vQtskgugEvrrKrCmaqikQg2OsILyQwLH/0Sc//z88QuzJD2BFBYtjtJlG24uwkmtYbDthZS0TyHHDf8TxUI7NeZOJPYWknqs9bTqrHy9OIyC6EQ52dW6ck1M6gv3jykFhUcqWvHH8pwfpOLhzcR5ZzfTbfdzmDddg/pbr2NA0Iz45NrLN1kBbWeSPK034N9yMKuvsYtyxQC7O9y0qDVc2HMTSi6VdsWS6Y5N+XG3mxmYNf2c9br1OwfaEGhEDk/tkQkfqNSF0ukuTDhprnJQm9HaQ9Vg07Ngb4WzEoVIyPLrKxGWFmNMDHjY6DPSZ2tsvsHgEIhMtTnpNNVx9pqhMG+5sob3QRRoUSjNWOylE98Wrr0IGHvBHte9f9Q33Gg6EM4WkM1ezNyO/RQTWZzRGXaj+ULEhcuuzlobcZYxEhfAOYKEm9oaaaxzshoeJV2i5X6ErKH1Nw82bU1Cskkvv/9ada+8CVyaxsVY32N8atGlbosyb0GTyJGMC7Soitv4ygikMhVb8Anp+EsJ2VxJ300aLoqryvznnkNwnP0yC8UCpw9e5aBgQH0FeQtzxaam5sRRbGoo1E5qFQqBgcHuXSpeBzzNWi1Wt7znvfwz//8zzs5zRfxHOAFRXQfe+wxXC5XxYzskydP0tLS8qyZUj8byBSyfM/9AwAmjJPUZezUp7febDsM3biT5S/aTn0bkRL+thvHyaFQJGjSWDhga2fAYiJWWGAmMUY8H2cuPse+Ct3KPSYnsRKJXpuhFlUsytT7KgT5DzAJ+eRSKSiYi5evSt2MTCFPYnwR0aCl9U9/Ffc//he6Hifef/sRyekb/pyNWjP5tJqjLhc2bXn92Z66RgxpNecWvfiiMc7Ne2nX2NjT0MQhnYmLyRjZq+N0g1LF0YYWZnzrLGwyzweYDqxzZTbIblrp1N74fQzbmrELZk4suUv69E6HA1wJ+RhuaKTDbKVered2bRve2RhXPOX9jBeCYc7HV+k42Ehri4097U24LBYujXtYLdLktBlef4SRxVW6dzXS4rRiuEpwRQHOj204AJTC0kqIycU1hnY1U2+/IUGym/Uc2NWCmJa4eGmJUJF43iuTXmLJLHt3t6IoEX1lNGjYN9SCzajlymU38wt+1oNxrox76O9tos4ujyhfQ3evA1ElotWU/j237n0NGmMdc6e/RSG/nXypVYodSxd2kkwHkK0hwvby7AoNWS0dVisKQWCwsYFD7U5sNh2/CPnIZjOkr4ZMTK0HQIJe+9Z7nCRJhH74Y0wvuY3ww4/S9IHfQ9XUROFqh7tKWdsjy6qRb2m1lkrgjuToMNwYFIoIdBocHLB10m9yoRbVONTdFYsCN6MgyRvAZKU03rSfes326XOdaMCl66RLP4CxygY2lShfP74TXL58mfr6ehobGyuv/CxiaGjoepN3NWhsbEShUFQMknj3u9/NN7/5TUI33aefbbyo0a0OLxiiK0kSf/EXf8FHPvKRsuvNzc2RSqXYu/e50yE9E3jU9xihbGjjDwHOWM+xJzKMJr9xYxJREMhUJpeZQuUf5Fo6iEWTZj55BV96O3GeiE7QZ9rumODSWTlW14Zdk5NVyewwuEhLlSsOgiSwnJBJRiWBJZkhEwBthibSMnVsAiJDpi6GbDYKaxE0rnoMQ+20f/TtRJ68jPWePSx+4qskxhbZY2ljdV1g1O/nVGCRrDLNMVfL1ejcGzCo1Bypa+HyvJ+12NYByMJ6iMsLq9xrrmNFtfF57q1rwiRpOL3kLtu5P7qyysJCnIOqDoZNLi6413BH5WkLR9ZXWIyHMKyrODfnqcoh4LJvlbRR4vLUCu7V0t6uxTCxuMZSKIpBr+H82DKxKqbnR6e9hONJDu5uY1+Pk0QwxcWRJRIVInBT6SwXLi/jcFjp6bpBXJyNFvYMuMglc1y8uEQgEN+27fikl0Q8zd7dG6S8FAwGNbv3t9LQZWPc62dheZ1cJsu+PldR/2OlWkf/3b+FJElMH//ytuUWw859RhOZnUkfkjVatHkDUVK+NHqTitHwKqd8bvzJjd/9zyMh7jZZr6/rTyZYCIU42LzRQCsVCoQe/An5aJTU9CyW+16OytGAIIrXm4MU5b6IMjCpqyN44UyamfUkR+299Jta0IhqZmNrnF2fZyziIZnP8IRvhVbtQFVkN1OQb0mVKaRYTYdo1++mxzBAh76TOrUJiRCB9CSe1CWUgoROIX/aXCU8+0R3aWmJVCpFb28J7c5ziGuBTLVuOzExQbZME7dGo+H9738///iP/1jrKdaEF4ludXjBEN2HHnqInp6eshdPLpfj8uXLHDp06JYLhiiFeC7GD9xfZTxybsvrKUWKS+YRjgWPoCgo6DD0sJouH0xgUZmYjFauoLbpm1jLlNmXIOFPu2nU2LCrDRypa2PYaiYtuZmOjzEdm2HIUtkXspKtzzW06JuJ5LYTjeLrNhHOylt3wNyOJOXZZ+so6cELG0R7wNRBncrOhdACo5Ep9JEoLY0NCIC2q4m2j7yN0M8uYd7Theevv8VPf3yCWPYGmYjnsjwdWECnFzjidKESRQbtDqxZLWfnt9uvXUO/Xs9ULM6IO8DdTZ2MuH2sxuW9v4IkMbbi54Kvuoo1bLg41JqMtROP3XxBIhqvbVo+k80TDMUZuewmWyUR86yEmJpbY9+eNvq6HHg9IUZGlklnyk9nJ1NZLo4s0eqy09ayVZLQ0mZn8EALKQ2cn3LjuUr89ZYmQqsLXBxdosdVT3P9diIiKlT03P5rxPwLJCMbTZpajZLdu13oG/UMHWxFqJHUAcQqDAAqIb4DoqxXqwlntlfpLyfjdGq06DfdmzOFPGe9HvZZbKz9+xdIzczS+P73kl5YwHjkEHDVJaGxnr3tDlayUVoN1c/U6ZTVt6PEc1lWUmHGIm4S+eKfR7VkNytV16WfKiTJSUmWk5dYSU0Sz21twI3mVjErjahFeY4GSnFn8dyVEAqFmJ2dZf/+7brz5wN79+7l1KlTNW2r0Wjo7u5mbGys7Hq/8Ru/wfe//33W1+U1R7+I5x4vCDYoSRKf+MQn+PM///Oy650+fRqbzYbDsV2HeKshlU/yE+83+csrH+Cnq98jU9h+kfg1AWYMsxwNHZYVrtCkbZZlQyXHRidZSNFjMqMU/czGx/CmtpK1qdgUe8pIHFp0jfiS8iqvBqVJ1no9xjYEBPZau8pWlLuMTjoMjYxH55lPeLkcnqFRa2S35SYfS0mg39RBg6aBS6ElvKkbmmbt4RYmHnwSzS8ussfmQNvZxD2f/hBKSUNOgLV/+TL58PYK6nomyen1RXY3OJhY8LMSLU9a77Ja+EVogyDVYqulVtROOtM1Vu1qsVS7BkGA5A6m5VWq2o8NsB6MMznpq7qbY2EpwLJ7nb1DLQzucdHS38DceoiLkx5SN5Flg62FQj5LMrrKzPwawUCMA/0t26qRokJJfcdB0msj7N7bQs4kcm7Bw5THz+lFD65hB/UOedfGZggChGO1BjhvIJSsXSNs1BUnUxJwMhbhNuNW4p9Z8fHDP/6fOFxOev/H7yOIIqIgcmywl4GWOvLkGY+sct7vZS4SJJxKM2Ct7h5fq7dzLFf5c3jCt0KbdqDiegpBQU6mdGEz8hVmxdYzS9SrG2XJv55N6UI6neb8+fMcOnQIZQ0Di2cDr33ta/nxj39MXGbx4Ga0trYSjUbLShNUKhW///u/z9/93d/VeJbVQ5Ke+38vZLwgiO7TTz9NZ2cnnZ2liVUgEMDv98tKSns+kSlk+Knv+/zl5Q/w0Mq3SOU3prJ8qSWatNsbINT1CjDmGQp3V3w4e5OVp5KVgoKluLwc+Fg+RKGMddZcfJoe4w0ngmZtA3ssPbTqzaxnl2kx2CrWOXqMrahFAYOidEWiUVtHl7GNydgSC0kv47FJHDo9g5at+jWXrp4+cwtzcTcLia2SjNV0kInoHN3GenqNzewytdGsbWQktIQ7ub26bRpwsueffo3x/3qKJz/9Fe5pbmUho0L/229Gv7cfVVM98adLNytspHuVf/fNajU5SWJNhr9xKdRKdJWINccDq8pUxytBq1btqGVYtQNiD6DZQTxxoSBxcXSJK0urzC2XnhERBAF7y27Wlzd+H5lsngujS7Q7bLQ0WoENbfCePS0M3vMKZkae4MzUAombBgCTHj9r6iyDB+RFyAK0t9czuL+Ngd7yccDloFSKRFPVOwpcQzl98ul4lIOGG7HA+ViclX/531hefg+85n5abTbqpSQKh52n/UtcDq4iCcKWJ20kk2Y6uM7BevkpW7UUFwUkwhl5UoPHfSu064o7/AhAk9bObnMHarE6zTdATobcYS09g1PbUbHZ7NmSLhQKBc6cOcPg4CAGQ/Xv8dlCY2Mjx44d4wc/+EFN2wuCwJ49exgZGaGct+7b3/52fvSjH5FO137dyIXEi9KFavGCILqf/exnefe73112ndOnTzMwMIC6SNfvrYRvL32WH3i+Qjy/vRrYrNmo3ghAr7GTNr2D5eQsZzQnMCqUDCZKd+F26NtY2VSRLIVOg4tYvvLotk5twZ0sT4jzUoFwdo191l7a9TbCOQ/T8TECV2URM/FZhq3dRbe1qcwMmNtZTMwzHr2MTpllt6V7S6XWoNAxaO7BlwoyHdtqiRbIBJmJz9BtamDA3MZuSwcrKT+T0fIRjosJH+l8hsshN4sVtL7aZiutv3YbyUU/6axA5ioxVNjMKJvqiR8vntwE8rqb77Ja+HnoxuCkFv6nqrFSpdkBYdxJmISuDAmSdewdSpJ2WhHWapVkZTR61bmGCbi3agPnlwOs+sIcPtRBTJPnzJyb9bwGrdVBZPFK0f0k01nOLHnpPODEais+E2O3Gxje30Zdl43JYJBz024uznjY3e9Cr63+8zZbd2bsr1SV/o4yksSVZIJ9+o3GwtiZs+j6+zAdOwKAJEq4Q0GETfdxQalAyuaQNs1AZAt5zvo8HHVUllC1GM1oa/jezWot2SLplKXw+MoKHbpBtKKaboOTvdYuBs1O6jVKIrkVpuJjFKRWVEJ1GuxMQV41ciU1Tru+iFvPJjwbFV1Jkjh37hxNTU3Pe/NZMbztbW/jK1/5Ss3bm0wm6urqmJsrbZOpVCp5zWtew/e+972ajyMbzwPJfZHoPsuIx+OcPn2au+66q+Q6ExMTiKJIT0/Pc3hm1SOY8XM2+ETJ5f70In3Gbpw6OwuJKVZSV4mmACeNT9CDi/bUVtujNl0zfaYOVtMe2nSlbZiuQSnz99qiL2+vcw0ahYrJ2BXWSqSkTUYnGDR3XP9bIQgMW7rJSwlmNgVTJPIJZuNjNOsM9JnaGTT3ACKjkZmycozlpBeNQsHlyJzs9DCLugqNnyCQXovhj9yYPlSYjQhqDflogtTkfNHNKskrTQoFTWo105viJiul8RSDqkYZweakqGqhqNWklY1QiZ1gp7I/xQ6JssEoj6SY6jvIJiMkwltnFnK5Auvx5BZXhLq+owTGny67v8tLPmJm6N+zUcVUqxUM7HbRubsZXz7NmRk3Hn9kyzaXpj0YzDo6W+Rdy9fQ6DDv6HOWKvwkn4iGeKnJgiRJxE48jem2o9eX6TVKRK2GwqbkNEGhIPC5b7D0vj/H8+G/JfS9h68ve9q7zOH6FpSbTlgUYMBezzGni3abCU8myJMr8+y3lQ4AKAa5Ueib8YuVFSxqAW96nqnYOPOJeeL5GxXZpaQHUexGgbzrT0AgI6MwcQ3u5Cgd+iEA9AozTdpOOvQDdBn6adW1EM6ME81WlsHJhSRJXLhwAaPRSHd38aLG8403vOENPPHEE7jdtVti7tq1i4WFhbIV23e96118/vPPjUfxi6gOtzzR/da3vsWb3/zmks1luVyOycnJW16yAPCz1R+SL1Mh0CkNzCUmWEtvJ42SIHHC8nP2pHtpzNSxy9hBh74JT8rNTGyWTCGDQoxjUJR+ENvVJubj5Sue1xDPRSqvBDg0lcn1cnKBVn0jnQYXTp2NiegkqRJm64GMH4k0o5EZonl504bBTHX6q0yZ8IKbUXfHLkSVgpNff+j6awqbmUIkivWXX0bo2w8XJahihUvrdouZp8JbP+NaKrq1EredNJTJbTIsBo1qh0R3B8eG2rv2r0Gnl1cREwQRZ//dLIw8uG3ZzY1e1q49xFcXycTKz8hEEmnOeVc48NJuClY1FxZXGF9cLeua4VuPMr8WYt9ga9nmoDqbgb3DLTR32Lg0v8IemwOLrjb3h0rWZOF8nkA+R0swhJTPo+m+MVOlUIgIOi1SctP9QaEASaLlH/8c0yteSmbuRjBF6Ds/4b/e/rsEPvlpcp/9NpbjF7AaVEzEfJzyL7IUDwEbIS2nfG4O2jtkvw9jDZ69CkGoaL04H19Cq+xHlGGTqBF1IFQnMXInL9GssSKySiw7hj99ntXUBYKZaYKZBb679GdkCjvTcMMGyR0dHUWtVtPXV76S/HzCZDLx3ve+lz/7sz+reR9KpZJdu3aVbUzr6ekhlUqxtCTvGbsTvKjRrQ63PNH9whe+wDvf+c6Sy0+fPk1dXR02W3V+gs81YtkITwd+WnYdg6J85SUjZFhqnuNIfIhQaJ3lm6QFgcw6vabtZvXdxkYO2pwIgl+WW0KDxoonVdopYDOS+crNFZlCFptKhzu5iC9VuUFNI8qPbNaLWparsBsDWE7I744VRIGXfOgtrH77EfKhDbmJssFOZsGD7tAQ+WCE1JWZbduVu7AUwB6DgfM35aRXY/N1DbVO5e+koUzcicZWuTPpwI7vuDvcXKOTT9Sbul9CMrJKyLc1zvVmRwRRqcbWvY/AxGlZ+01ms8RT8l0R8vkC5yaX6epooH5TgIZRr2F4yEVnrwNfJsGZGTeLqyEAxqd9GBMivY7qqsEAqQrpXwCPR0LcqTViuu3oVgIucLWie4Poinot5te8DFGvQ1Aqybq9BL74LcI/eJToz0/i+IN3o33z/QgHehn9yncJrJWuWJ5cWeagrbxP+DXoa2ioatBqkWT8yKZjCxhVuxGk8tevtkzvQjnEsqXviWvpGX60/JcUqpBlFMP4+DiFQoHBwcFbwmGhHD70oQ/x4x//mAsXLtS8D6fTSSKRIBgsPSD9jd/4Db74xS/WfAy5eFG6UB1uaaI7NTWFVqultbU4OQsGg/j9fg4dOvQcn1n1eHztwbLZ6CIKFmV4yRZUKn5heZpDkWHqM9vJ/Wx8lgPWDjSiiv3WdvrNZgKZOWbi0+SlPLPxyS0NZMXg0pVPdroGo9LAYqJ0HPFmSFVU4gIZeX6wAE5dU9mGuZvhUNsJybQnu4aWzh6UDju5wMYNTt3WjKa3ncj3fob1DfcWreqWqzzuNxkZicfJ3bRNLdIFq1aLQVFd5UmvVNJqsDLcUr2erttuQ9IIOB3VWzyJgoDdrMdQoitfDuTEAZdDqRhjuVBXIb0QFUra976GhYs/QNqUVBZJbB8cGpo6Sa3LG1yWiyguh6mlNZL5PIf3ttE/2ExMmefcnIdJ91rR8YM/GMc9FeBwq7ymL0GAXW0NFXXQWd8q5/7jy5gEAdftW9MrM4U8glaDtEm6UPeuBzDevbGe/tAe7O98M+r2FqR0FttbXou6tZn6gV5UR4fQ9raRmlwgs7hCvoTjyUnfEvusHSVnJiwqLQfqXGhETVXJhwC2KnpEJqJzWDV7oQiJEIA6VR1ObSNUIMM3Qy3qkITyJHYufoqf+T5V1X43Y3JykkQiwZ49e255kgtgsVj40Ic+xF/8xV/UvA9BENi9ezeXL18uea9+85vfzLe+9S0KNTb6vohnB7c00f385z/Pu971rpLLz5w5Q3d39y3fgJbKJ3jS/3DZdZy6DqJFGtS2QBJwJ1dJKJI8YT3N/ugQDZntFZf1zAp1mgxziTFWUls1ggUKxPI+6m7SqSoEgd0WF4ftDUiso5JhVePUNsuqXiAJeJPyvF6NSiNumbZkAMoqtaZ2jTwSvxnpjBJBVJAP36jA2t/+WuInLqCotyGlMyQvTmzZptz0/kssFo7fJFvY72hCzAh0W+TNTNh1Og42Ojk958YQ1XLM0lpROytIcKjOhTGv5anlRc4kPezqrqfdbq14vCaTkYNNzSysBDmxtMycJsqevS2ySKsgwHB3M84GMycvLyAYlOzpLx6mUAo6jZIDvS6kXAFXU+XzLYV8hQjtSlBU2dRkd+5GqdazOrdRrTUY1OSKSGdSQR9am7yBRyXv33KIJtKk8wVG5ldkeRHn8xKXLi6zv74Rk7bIdy1I9Ljq2DvgxNCsYySyymX3Kkcd28lxam6e1X//At5//hRKi4WnDTrubt7qKJHMZxHUKqR8ASm38T4FpfI6mRI1anS7+zDdfQzrm1+F8faDANTpNiqfmr52Ij8+jvdj/8bav3wdqQThOL26zICpBbWwMXBpN9g40tBGv7WBRCHFheAyT63O0aFrrShD2gyzurr70ZXIDHWa/dhUdrr1XQyaeuk1OGlQieQKy7gTZ3Hpi7s5lIJWprPDxeAPOBv4VlX7BpidnSUUCt0yXrly8du//ds89dRTFX1xy8FsNmOxWErqfQ0GA0eOHOEXv/hFzceQgxelC9XhliW6uVyOH/7wh7zuda8runxpaYlsNlsxDvhWwJNrD5Os0FCQlypXily6dsLZDYKUVKR4wnqavdEBGtP1W9Zr1DWQyJfWYMVyceo0SlSCgkaNmWN1bXQZwZ8ZZyk5iy+9RJ+pchUnL2OKEqBZ10gkJ69K69DIJM9X4U/L0xLfQHXxwXusnWg0Bdre/AoCn/8v0vMbNziF2YjlDS8n+pMnsL7hvo2qbqGAXa3nqL2dK6E1DnY3Y7tJ59ip1RLIZolcJVw2rY6D9c1cWlzhwrKXxZUwh+tcNOiKd9iLgsBhp4tcqsD55Y0KYDCZ5Oysl65CHcOmpqLb7TLX06tv4Oyyl7XEDe3zSMjHjLDO/h4nVv12TaZFq+WI00UomODCgvf6DS9XkDjhd5NtVrBn0IVY4oE31NVEa6ONkRkvy1cDFUKx1EYEckcD7a7yAw+jTsPB3ha0OZFLl5a5POFlZS3MvqGWsjZWN6OhzsjeoRbSuQItrtplTtU6qwmCQPve17J0+SHSiRDGEs1sqXUvWntz0WU3o1IaXCVkaiD7VyZXsKbVdDdsfF8dTTb2DbqwuAxcjvs55XXj83pITE2wfuYUj3zxy6h+/Bj+L34Z77/8b5Y/8df4/+MraPt6afnoh7G+6hWMFLIM6vSoNv12wukUgiBsky9UgkmzoZ3WDnaRWfTS+EfvREpniDx0ouQ2FwJe9tvbcBpMLCXXORNYYDKySn7TU/3iuodeQ7tssquT2+27CZOxRQoFN/70ZdyJS6ymZkhvclpYTFyhRb9H9v5Uonxt9eOrn2Eq8qTs9efn51ldXX1BhTJdg16v5/3vfz9/+7d/u6P99PX1MTU1RS5X/Pn3rne9i8997nM7OkZFSMJz/+8FjFvD1bkIHn74Ye655x40mu3NH4VCgZGREfbu3XvLX2zxXIQn/Q+VXUevMDKXqCxgF4Wt5CelSPO47WleGjqCiIhXs3r1mJXTdzwpD0fr+5mJjTCf2D46XUyOM2TezeXI9LZlVpWZVr2DSFbeg8iisuCWWdHNVzFN16prYj0tz4C909CMKBRYSk5xyN7NlfAKiXzx81cIIgPmNjzJMGfXFwBoflkjraZf5xd/8wUc/8+7ULc1ozAbkfIFdAcHiX7nEQw/OU38vjs5GdmQc5xaXcaoU3O42cnFxRUyuQIvtVj4+VXz8UONTmZ961wI3ZiyLkgS55Y8aFVKbnO1cGF9heTVG2qP3Y6QFzi7UNz2bT4YgiDsd7pYV8RZSIRo0Ohp19k55/WUHD7kkTgZXMJoUnOwycWlBS8KQWBPYxPj7jXOzpXuVg6mU5xIe+gesGGMiUwvbugjBzobSaayXJ7dHjF9DdPeACKwd7CFhUU/kdiN79Ji1NHTXMfUlI+Ll7ZeG/m8xIXLy9TbjXS113NlsvSUf3uLHaNBy9ikh7XAxnWhUIjs2dvG+JibTEY+6evsdaDUqTDq1VXFFxttLTj77mbksX/G+su/C5btldtkcAWnvfgg5WZs/pxqQSJTm2/zaiCKMizi2mtlfD1A5swIqfk5UgtzpBbmKeSyqBubUZpMKMxm1k1mOvcfIWvREdGoUTXUI2yytSsA5+MxDhpMnIpH6G9sICRtDMIEnRYplQajvOqk9qr2W9vbRuun/ieiRk397/0K3o99GnVbM7qh4taMBSHPSrL8YPlcwM3Bug7GY3Mb0yJloKnhcWRWVu5JWIiP0qbfjTtZOc62GgsxiQI/9vx/GJX1mFR1hDJuwln3xv8zbsJZDy9xvIdW/UEmJycJh8McPnz4ln/ulsL73vc+ent7WVpaKimJrAS1Wk1bWxszMzNFm/COHj3K+9//fkKhEFardYdnvB0bFdYXNvF8rnHLEt3PfvazfOQjHym6bHx8HLVajcsl3zD8uUZeyvG0/0f8YvXrNGp6CGdLN0A5tG2sZrY3NG2GSlCzUISQZsQsT1hPcUfoMKIkkjAlK/rfwoYrgDsxU7Z6upy4Qpehh9n4IipBRZexBYWQYiU5gzvpRa8wYVNbCWZCZY8Vycqr5pqVRuIykojMSgMuXRNjkVnUopq91m6uhBfIFqkwN2vrsKn1TMfnr782nRinTmukT93OxeDidVsyAYFBSxtrqRjng4tb9pMqZOGgiZaXD+P928/R8CfvppDOoFWqOGJv56cH97K0toY9v/UcYtkMJ9eWaKoz0quxYskLpEQFe+2NnC9BWAFS2Ryn5t3U6fXsaWxCEuHsklvWFNKox4dSFHl5bzcnvMucDckMCMllOB5epLvFTsaT5eysfDuemfCGfvm2Ay3EfAnG5uQNbArA+VkPJp2avYMteFfCtNjNTEyscHGt/ODPvx7Dvx6jr6eJUCiOz7/xOxME6OtpIpvNMzO/XQaTzxe4cGUZR70Ju0nH5GRpMq5SK+kdaiaQTDG+sg5r69gtegacdYxNy9PUAjh33YnB0syJH30a68BLaNx3D8LV8nA+myYbj6Ax11fYy4bLRjSxM1P6YhphuUgG3Ex99fvERi4iiCLarm50u/qwvvyV5AJr5BMJRLUaQa1GVGsIW600ulx02vSMBbc2iSlEgYBeyas1VsY0SUZjXuq0enoMFpZTaYQqmsE2u2mImg2JhaqxjoYPvIW1f/kajX/8TjSdtT8vzgaWOVzfxZVY+fu0Qqy+Wm5Qyms4W0qM49T1sZKaKLueUobsbDNyUoon1z7NSvJi0eUPLX+SffE/Qq0wcPjw4ReUXOFm2O123v3ud/OhD32IL33pSzW/l87OTh5//HHa29vRardW0AVB4C1veQtf+9rXeO973/tMnPaL2CEEqZYOmGcZa2trvO51r+PEie3TTrlcjh//+MfceeedWCzVN8Q8F5iKnuUn3s/iT1+d5kaNKDYSyGx96GpFHa36dtKFHGPR5bKks03Xy1h0seRyVUHJHaHDpOxpnhbOVDzHDn0r/grk+to5Nms7WU3PkC6S0GNXO1lOpErahZmVZsLZWNn3JiDQZ+phIbFErpCn09jF5bCbdGFr5UkpKOg3dTIVXSZ50/Hq1VZsahtjkY0KrE1lotVQx0RkDqmMPU+jxgEFE6KgIJRJsZgonXi1/uQEi//2GLlEmkIqh0qrwXDXbZhffz/+z30NbV83xpeUtrl7laEOs87IIzOrxDLyK4ItFjNLiWolGnCww8nTq/KaBTejXq0nMV8bmeqos7F2qfbM9wGLjbn56n0+VSoFQ33NFArgX4/iWamcEngNu/uceJbWCYVv/L7t9QaaO+uZ9gSIxIsTw+GeZpY9QcLRylZNzU4rNpeJK3OzTP/oc2QEDW13vxVRoWTpiW+RTUboefV7Ku6nzqwntCbPdq8UBJ1YVCdcCQn/MrM/+b8Yjh7DuGcf6qbm60Qh/PQJ/N/9FrreXYhqDYVMBimTJuP3ozAaMQ0Mse+eO5m36hlodqDVKpiK+AmlU7zd2MzxVIjZ3MbnmBuZJPXQExj/8Ldkn9uR1mbO+IsPjOJnrrD++e/R9LH3omrYKls53OTgUkj+gO5IQyuXoxv3TRFoN9po1OkRhTz+dACdUkClCBCvwvu239QBhfI+ytegFNTUaZrxp0uHF7TpB/GlipPW0tsM401e2Pa6UFBQ570fpSHHLx/+AGpF5fj4Wx3xeJwjR47wwQ9+sGIQVTl4vV58Ph/79u3btszn8/HGN76Rp556agdnWhyaLheuv/q9Z3y/lWD/u//izJnK3OJWxC1Z0f3yl7/MO97xjqLLLly4gNVqvSVJ7npmhQc9/5ep6Nktr+fJYFUqWM8ISEioBDXthi7WUnMsJjamovpN+xiLThXdr0lpQllBd5UVczxhPcU9kdsYUOxizDBZNoHWqNTgl8G1DEojS8mRksvXMx56jLu4HPFcJ7MKQaTL0IJGlFhOLjJgdhJIZ/CltxOgFp2TvJRnfNN7n4xO4NBYsKiaGI1sPLx2GdtZz0S5FC5Ozv2ZEP5MiF6jC5PSwGRslvFoqFIKL770Kg6NwKVgZblHfHIFx2v2YdrTxvQnvovll16F/qUbiU7ZZQ/ml99RclsFsEdj5BfZfFUkF0Cs0fu11sKLWlRQK5VS7XBKM1Njo1U2m2dkzEO+BgI3OuHBaNAwPNxKLJVGaVYzNr+Kd6o8ARqZ9mI2aNnd52R0YnvVXKkU6R1oIibmmPD4YT4CgoamV/028QsPM/P9fwalBrWpjs77fkPWuVr0WkI1fztgNmgJZmur6K5PnqHnJfeReflLty3T9/VjOnCI+JXL6PsHsN3+UlQOBwqdnrR7mfjYZZ7410/RsKePkbe9BjZN8jyeCvIyrZ3Z2AbRDZ04h/bAIMeaWzjprTxQEwWBXOFGJXX9yw+SW49ge8srUDnsGA4NkrwwQeLMFSyvesmWbeP56q7FU2tL3OfqIyf68STXCOfdhDffOjIbdo4a0U26jMvOZmhEkbTMn21OyhDO+LGqnISyHgQEbOoGzEozalGBJCWRiKAStWQL1XzP2wsRQl5Dg/s1xM0TxK2XeXQlyatdH6tin7cmDAYD3/zmN7nrrrs4fPgwe/bI1z9vRlNTEzMzM0SjUUwm05ZljY2NOBwORkZGGB4efiZOeytelC5UhVtOaCNJEl/+8pd561vfum1ZKpXC6/Vy8ODB5+HMKuMh7+e2kdxrCGTm6TX20W3ow6RSs5QYJbWp4SCQuoJD49iyjUlpZsDUi0KKEM9OY6qg5bJozTxmfhxVQcXR8AHEEnpXAYFARt50dp26skuBJzXJsKWLVl0Teyyd1GsUeFJTzCWmyUoZlpLzZKRV9lm7UIsbYyujQk+fqQd30os3tX2aO5gNM5+YZre5iU5DC+PRRVbTlSOO3SkfY9FpMpJ8HaJRIW/QlIsmUZp1mIZauPuf/oDQwz8n/OBPkbI5cqt+lM2lu+b3ak2MpmMoCtVfcqUavSqh1mm5nZDVWiOJr6EazezN2IltWSye5uK4m6n1EKMzK7IJcySe4tK0l77eJuquetQ2NJgYOtyKokXH2ZWVDZK7CaJCiengq2k+ej/Dt99Dx71vR6Eqr6vsctYxvMfFrDbG8IEW1DVGGVtkJrvdjEI+R3DmPL0vKZ5QqbLacPzKW2n74z9F42zB/6Pvs/SPf8PsRz+E7z+/RGpuhkI6TWi5SD9ALoVFVGIRlUi5HMkLV1A6HZxcWeJgoxN1kd+jUhAZrm/kiNOJ3axiLR2nWW9GyuWI/vwMgkIk+vDJ6+trulrILm6XqAQz1Q8aUoUU07ElEiU8xGdifgxiG0pBXh1JWWUgRKoQRyFq6NDVUafKIBXmCGcuspY6hz89RiA9QbPGVVW4inSTp64ia8Sx/Hqi9vPErZcBmIk+zmn/l6s611sVg4OD/MM//AMPPPAA0ah8O8vNEASBgYGBki4O73znO/n3f//3nZzmi3iGcMsR3dOnT9PY2Fg0AOLs2bM4HA70+ltv+iSRi5YkudegFHIsJy8Tz4W2LcuTwaTIohSUmJWWqwQ3xFJilBwZ4vkQHXpDyZtXg6aObmMjCHDJfBmf2s9d67ehzW9/gDp1TUSLnEMxpPKVK50A6UKA9ewCM/HxoslAOSnHTPwKjVoV+ywDIAhMRKcrOizkpBwzMflTi05tA/kKyUzbjlGQRxrSvjCq+o2Re2NLD/a3vYHU6DipqVlULU7EMtZCd+gsHE+GSaWrr1jWSnSrca/YjGq9QzdDUa0twU1IpWprlALQamuPNQbQ6VQ1VYQBxmZ9JLI5ho62siQkOD3vJhgvL2kwdu0l5dpLX4eDBtv2QazZoGXfoAtHv5URYZ2TAQ/xbJanQm6M/Ubamqt3j6h1MBBZGkdjacDi2u4MkYtGSa9s6JUVOj3Wl95F6wf+B51//gk6P/pJnL/9u9hf+Rq63vt+6v/4d4ru/3gqxO0aK4giltfdi//T/0no2z/h7KqbLqsdm0aHRqFgb0MTh53NGEwCI2szPHnqSVZm5lhYWCARi2NfDqFyNmB+zR0kzo1d9ztVtzeTWdiqqVaLIsF0dZ7aAAUqV4HHIj7qVT2y3BpEofrfvFJQEs4ukpeKn4s/PUaHYUD2/gqbCgOqtJ0G9+sIOh4nadwqkXja/wXmYidv3vwFiXe84x3ccccdO9LR1tXVIUkS6+vbZyvvv/9+HnroITJVzuDJwYv2YtXhlpMufOYzn+Etb3nLttdjsRjr6+u88pWvfB7OqjJGw09WtNsqZ/kFEMous8dymJnoKEuJ7THAq+kphi37t0zft+qasWsE/Kkx3MkZhi37GQnPMK9fJKaM89LgMU5bzhNS3dB4WlUGwjLurTqFHm/SXXH6H8CotACVG5BC2SAFyUIsJ+8Bo1cYgdK62ZthUhmgynRLf7pyVUcqSMQnvRj7Nh70uYySQjKFaDKQvHAZ3b6hkts6lWrihQLBQo61Eib25VB780eNFd0dkFXlTolu+vkjugaDhkiydllAPJlhPhCqOuFufHkNvUbFvl1OLk152dXeACYFI6FVvOESDhvxCCqDyLE9LVwaWa74IDIZNHT01BMXcnSr6plZkK+DTof9eJ7+AU0HX8m1MWE+FiN2eYTYpQtkPMsIajXqBgfWu16GrmfXDd9blQrRXofKXoer3sIsxY97PhPlDy3tPJT0Y77/TtJT84imjQr5eHCNAw4nk/EVRmLLZFcCRB4+QfzJCygdNqRMjkI8gSeTw37vMdoO7yPb3oyUy5P1rKF2OVC1NpL1+pFyuetNbnVaPesy5QVbPo+CvGv4YsjDIXs/y6mx8oNOqXopiVpUVaTbvuQF2vX7WEhcqbi/3FXCrIv2YAkcxt/8Y3Ka7TNoEgUe9nySB9o/hU3TVvV532r4l3/5F9ra2lhcXKStrbb3MzAwwMjICLfffvuWe7VWq+Xo0aN8//vf581vfvMzdcobeIETz+catxTRTSQSHD9+nL/5m7/ZtuzcuXO0tLTcsuEQl0I/L7vcqLSzkirdTHYNa6kl8pR+2K8mL9Ku70MlKtCJcdazY/jTXOc0gdRFOvUDzCWW8KsDHLee5ljoIOPGaTzaFXqM7WhEeWSiWetkMVG+w/ca5LglwEZzm0em1RhArIRXYSlkCtWNnlWCWlYkcMq9jsKgRWXdePgGEhny0Rii0UDy0hUcv1+6ceYOnZWnkiH0CiW+iLwK+WY89xXd2slqrecKoBQFstnawxA0qp3dzrQ6NeyA6AJEanRESKSznJv1sHuvi9NrHpDRz5ctFHgi5mZ4n4PYbJxAeCsBExUCvT2NSHqBK95VVj0bpFkhChwcbuHiqLtiGl/cN8/sI1+g+eArsfccIJ6Ks/KVL5KcmkTf14/l9jvQ7+pHEEWiF87h/+H3EFUqGn/tnahsW2VPJp0KSnw8OSTGsnH2qE2cmhwjs7BM/Xs35GtSoUBkZh7Pk4+TvDRF1ruG6e5DOP/6/SjrrABEf3aa5IVJIpcm0Pz6aznW0Mr6/n5C3/4pur27kJIb96dCPIXebmXA2oBBrUCTyuOtYC92MyoG+2zCmfVljtUPMHeVbBoUBpq0dRiVKgQSxLNe1GIBARGpioRHhczrzJ+6RLO2H29qu03kZmQLKayrd6DMWvG1fhtJUfo+minEeWrtM/xSyydkn++tCp1Ox7333ssjjzxSc2Oa2WxGq9Xi9/tpaGjYsuyBBx7gX//1X59hovvCj+R9rnFLSRe+853vcOzYsW2NZpFIhHA4/OyIup8BrGdWWEqMl13HqnZVJB51ahfBbPlKiyQUcGkhmb/EenZ7Y5YkFEBYwqba+AzjygRP159nT6afOzJ9JLMXCGemaJChvRVlEiWNoMWTkicvqNdU/hxuHF9kISE/JQ1gJVVdx75D4yAvVX7AxMY9GPs3qrmCJLAUjlCIJch6fQgqFcomR9HttIJIh0rLRCZBq85aE/XcCXmsBXIfosWwkxuKrooAiGJQ1qhbvQatdodEWaMkvQOiDsj2pt6MkfAa6015hq7ONrS4rOw+0IKmVceFdR8Xl1fIbpJk5AsSpxbddPc7sJpLW1uF5i4x+/DnaLvzV6kfuA2DGp74p/8PUaul/U8/SuNb34FxaBhRpUJQKDAfPIzrd95HZm2t6CxEpYr78VSIl2isGxHAuTzRnz+N/zNfx/3BT3L67/+NQiyB9Q330PLPf4ztLa+8TnIBYk9eAIVIdjWIsruFs/5l7nznAyjtZlJjs+TnPNz99x/i6K4edJocY/FFzgTnyBTytBrkS0C0ChWJKhwVAE76l9lvGaLPqMamcpPOXyKQPos/PUayEGIhMUejrvSMUDEIMuVZEgUS2TnsamfJdRQ5PYa5OygoUvidPyxLcq9BKdyaBada8IpXvIKHHy6fXFoJfX19TExMbBs4Hjp0iGAwyPJy9e43L+KZwy1FdD//+c/zyle+cpsZ9blz52hvb0dZha/ic4lLwZ9XXCeSrVw1MCjlxdOmCuUrCql8hGatQKOmgX2WDhp0AUYavkshl6Nv9W7y2TxGZRadonRjSrOmnmgF0n0NDVoXeUnejVdEfjNMs66RZBVd0Q6NnahMScQ1aMTKZu0AscvLGPs3HhYtWgepfI5CLE522YvtgdeWlBcc1po5ndr47pt1pppIpE6lqprsahQKDIKqbBRxKVh1OrQ1VkcVO7il6FQ7JLo7bIRT7bAibDTV1ui1GeFMbRXhcDbNiewKu4+2MpUJc3rJzXoFjfAVzyo5o8Cuzu2DtEwsxOIT32Dgde/lJfe+jK52M+e+8y8oDA3c+94PIJaYWYs8fRzj7mGU1u3kUazw8foLWfJItLhc1L37ATLTC2h6O2j6s/dx36f/Gvs7XoNuT+82Lfw1ciEolTT83q8gXA2PuCymeOMfv4/7/vx3afkfb8DjFBkJL5HcZFsYSMeJZlN0GrdHqRdDvVZegMXNSOZ8xHPb5WjXMB2bxKWT3/0vldDmFkNWSiISQy+a0SqMNGpa6dD302Pop6uwjzbP61E0rxCpOyNb7aRVmCqv9ALBfffdx2OPPbajeHCj0YjBYGB1det3bLfbueeee/iP//iPnZ7mDUjP078XMG4Zojszs1GdvDlpJBgMEovF2L179/NxWrJwKVQ+19qidLCWrlzx9GcqVy+NSjO+VOUUtXB2GbPCgz99gayUBEFiwX6GVdM0gyv3kQ9Dp75uy31NIYgMmNoZNtVRkGZp1KpkNRcpqkji8Wfk+5saFGbZ6wI0aeUNFOCad28nBSlLl6F4NfYaCtk8weNTtN21l0FDL6MrGbocZoZfdz9Nf/YH6IZLN30c1ZlJ6nV0K+t4cnoRZ72ZwaaGkutvRqfdxoEmJ5fnVujW2eirrxwoALCvqQmbWscTEwvsUtfRZ5G3XY/NzpDFwZMLi2gdava0y4ukBbAbdBxudzHiXmHfcAtadXWkURSgzWmjsbm673wzFDXasF3fXrWz26HBIP86KIVQukqB+U3wx6ob6K3Hk1wJ+tk33HLdxk4UBcS1K3QffAm6jg7OzM7x4L/+JdoGJw13vYGpy6vc1tiybfBVyGQIn3gS610vK3qsnIyp+SevVnV1w33U/+6vYbr7KMp6e1kbMEEQaP7z36bh934F/f6tkfBZMoxFPWWPHcok8adi9JorX5dWdW3fcVaq7BgzEZvAJbOym5eq+54TOT8unQstq6RzE4RS54h5BHLudsItXyeifhy7ukP2/jT/jYhuS0sLjY2NnD9/fkf72bVr17aqrkql4q677uKb3/wmhUJtja5F8WIEcFW4ZYjuF77wBX75l395m2zhwoULtLe337KRg6l8gmiuvKDOpK4c7WlXuwhmKldQHVpnxRhKgEZtC8kiTRNB/TLjjY/hCg+j8BgYNnVjVZnYb+mkXSuxnh5h9aoZuS81y5CpveKxAml5zWIGhRlfSp4UQS2qEGRKyM0qA3ssHczExhkyt2FTlSdLnQYXzZpmRkKLTMbmCWSXOFTXglVVvFqTubBMXUcLQbGZny/4SOfzzMb8eOoFju3fjUO/fTtRELi/oYVYAc7MrDIfCAGwEA4zur7GcEsjzebiD4u+hnr2NDSx6Alxcd5LoQBzviAzcwEO1jfjMBQ/zzaLhaF6BxeXV/BFN7TAM/515pbWOWptoUFb3K2kyWDkUIOLOW+Qcd/Gb9CXjHM66qG3u562utL2a2adhsMdLlLxDGen3SSzOU743KhdWoZ6K//uRVFgb6+TxjoTZyaW8eZT7D7chkpdnQyh1WVDqVVis9buyCLskChrdih90GtUpHZQVQII15B6VpA2pAztu+rZt7sFQ72W8VM/I98+TDQSYf47n0bX2ErzPW/aSHOTBC5ccrNH14B1UypU7OI5NC1tqB1bbfYUgsBQkwOtovLncyUbo1elR3VTaTEoo2G0GOTIkgCiuTTL8RADluK/2TqNgf11Lhr1WoQqH5tKQUE6X5noAkzFZmnS9lZcL1uoPkAmf63praDC6HktioyNSNs3KKiiG04ShTV0CqusfWmrLELc6nj5y1/Oz3/+8x3tw2AwYDab8fm29qC0tLQwNDTEE088saP9v4jacUuwx3w+z/e+9z2OHj26hehGIhHi8ThDQ9Xpl55LaBV67nZs9/y9BqvSRq5IotjNMMqULeRkdgnrFaWn2DLKJGONj1EQcljmWrHkoniSF4nnt1db3clRdpu7t72uETX0m3roMtTh0Mg7d6euVZa3Y7exA7NSz1R8lEO2Fiyq4uRFKSjYa+1CKSSYjk8iCQVm4jMUpCh7LN3bbLKatQ106tuZiKwwn9h0MxIkpmLTaJVxDtrbr1exdQo1u409LPx4jOyBAeK57U1850NLxBRxjrlcaBQKREHgYIOTDtGGI5bnUV/xQcDFVR+rmTiHO1zor07ZDzc1MmCrZ3opwOWl4g17F+dWSATSHHW2oFFsvD+TWs0RpwtvMMqVle3ToxJwbtFDJpjn9rrW6z65JrWGY02thEIpzi95KTZvORpcY44wB3a5MGpuTFfr1SqOtLsgLXF2yk0qu5Wg+eJxzoR99Aw10ly//aGoVIjs2+WiwWbk4rQHb2BDjpPJ5Tkz48bQZqK3vzJR7u1y0NvXyHwgxNOXF0iSZ8/ulqpDNiw2HWqrpuZwDqBqcn4zrEZ5UbCloBQEQiVS3ORgJRzj9JybxbFLKDQ61JZ65v/r39A3t9N89xu2yXMm5tYwR5T02jeuf1VdAxnfCoVsFgHY1VDHoTYXRqOWkcAqxyfcHKtrK3sHyAQjXMrE2K+5MQhUCiL+GmzAgKqkT8l8lpnIGsNWJ60GG4cbWjniaKbLqiGrCDCTnOF0cIIuQ09V51CnMYFMr9wCBRaTPurUrTctEbCoHLTqd9FlGEQjVC+TyUtJlMlmLAtvJWOcId70KGyKLE4X1rGpTIgyCgz/3Yhud3c3CwsLO95Pb28vU1NTW6q6ZrOZ173udXzuc5/b8f6v4UV7sepwSxDdRx55hDvvvJN0Oo3ZfOMCOn/+PK2trbdsNfcabqt/Lc3arWRQJajoN+5CLaxhEEMV/RQDMqq5GlHHSmpe1jmFK+1PkHBbR0k3r9DhuwdrrLPkqivJUXoMG9YrzdomhsxdmJRpPMlR/Gk3/tRFugwdJbfXKwzsMnazmLhIv8lOk7b4FGGd2ka3oZ25+Bzr2RAA0/EpDMok+23tWz7BflMbzTodU7HxbfHDaSnDZGycJp2RHmMLNpWZflM3S/F1JqKlmwKShRTT8Qm6THoOWfqIha08OrZE5Pw4hqOlpTOpQpZToXkcdi1tgoWL0z78oSgOtYr5VGnikS0UeNrjRqtXssts58r8KpPeytXxVDbP2Qk3dZKeO9vaUUkipxfd5CpMjSWyWU7PuXEWTNzV3IkqI3J63r2lUakYcpLECf8yBbvIgS4nh9tdaCUFZ6bdxNLlicTI2ipLyjh7r8oZVEqRfX0ubBY9F6bc+NaL681X1qOMrK7Re9CFvW7roE0UBQb7mmnrqmPcs8b4wg1yH09lOD/tprWzjhZn5SYjZ4eNnjtaWbHm+dnMPI39dbhaqvenBRCVO5Q+7CDwAsCm01VtbbZle8MG0Q6OnsS2+yhrpx9BY2+i6a7Xl9SgrwXj+KbCHG5yoevqxtbWjvnKJeqtRsZDAU553QRTN+QYp6e97DO60Cu367FzgRCeP/l/ecI7zzGN9frrDXoDhRpFgsFMdQQ5I+URFXnCkpeJ+BTjsbltcqtz64vsMvaV2MN2WFXVDWAyhTSBTJJOw266DH206ZqoU+ZBmieSuUAgfYa0lEUrVpEOWlAguXvRr95J1PU9MpbilmPhzDQt+srv7b8b0XW5XM9Iw5jBYMBgMLC2trbltb6+PkZGRgiH5Uv3yuJF6UJVuCUY5Oc+9zl+8zd/k0KhgOJqlSoWixGJRG7pau41iIKC17W87zqZ7dJ30aRRspo6T05KE8wssNtcnEi26lroM9bj1FbWPDXrWinI6La1quoIZuVZeOX1ESadD2KNt9O29hLEwvbRvESBdN5Nl6GeeG6epcQVMpvjJYUCydw0TdrtFbhuQw9ascDCVZuytcwCBWmRvZZuVMLGw04lKBk07yKWizKXmN+2j0Q+wVx8nAGzjd2WNvrNTSwmpwlkyktG/Gk/y8k5krkCl0Lzss17VtN+xtdSBFIpEmfH0PZ1oDBVbkJRCgLLwQ3idshs4kxEng1RTpKYWZU3tbnlPMMxYqkMwWR1VTxPJEoymSWcqq7xKZhOMpUJcnbaTaiKKfJsocBJnxtjmwGzUceFSTdrMiKXAUbmVgiq8+w+2IpGq2TPkIt6p5mRhRXmPKW//1l3gOVQmL17WtHcrBcWoGdPM85jzYwXopxb9F4n+7O+deYzUYYPtqKSqdltabYyeNDFVDbMnu7S3e2VoNHsTPpg0eysGc6oUZNLxojOj2PqGCA4+jSO2++v6OOczRUYvejhQKsTzf2vZOT738Xj255Cdg2XllZpLJhp1m+952WWPJAvsPijx0hKeZwKDc16E73WOozK6rWxSkHAn67ezs+grFyZPx1YoM+4S9b+jDU0UcfyUWLZKwTS5wlnZ8mx9XqL5fxolA0ohMoNnMpUA3WLv0pGXCfS9nUK6vJkK5A6h0tXvidGK/730egCDA0NcenSpWdkX9equteg1+tJpVK85S1v4etf//rOD/BiM1rVeN6Jrt/vZ2FhgZ6eni150RcuXMDlct2yTgs3w6nr5i7HG9llcBLKjBDPba2oBlIXcWlvNPc0qBsYNLWQzI0TSM8TyYzSrCndDKERdWgrtS1fhU1dvrnqGgRgPeOmIGaZd/ycuGaVXZ5XY0pub0Iyq+rxp0uPeHNSCo0QwHLV1syqstJtaGc5OU78Jt/JAnncqYu0GpQMW/qwqU2MRyfIVojtdac8aBUFFhOV/Yivwa62EslV1+CjQMFSbONhED9+AcPte2Ue6wYZPmg2cUamZ24pza0cxGpM3anVY1cl1j49H89mt3m9ykEyneXMnIee4WbOz3jw+uXpE/MFiXOTyxjrdezqaUSrVTJwtA3jXjvnQmuMe4rrxXP5Aqfm3Zg7LXR0Fm/kUyhEBvubad3v4Io2wsl1L6vxOGf8XgZ3NdckQ9AZdlbRNap2tr1GqSQ0dhZz925CY2cw9QyjNsmvbq8kYqgaGjAeOEjw4YcAKGSz5EKhbesuBiJk1iUGbTfuVVm3D/2xfSRPXsBbyPJqcxPeZJTHPfNYRSNNMooBm+HQGcnXUOGWO4F4OrBEr3G7rOtmaBXVn4NW1JIplL9/+NNz2DX9pVeQRIz+Y1h8LyPZ8hSputOyXRUi6ZFNzWkCeoWdBk0XLt0Q7frd5GrQCN/K6Ovrw+/3EwjIDycqBZPJhEajub4vrVZLMpnkHe94xzPrvvAiZON5J7pf+cpXePvb3040Gr0uW0ilUgSDQfbskW+3cisgX/DjT08VXVYgj1ERpk5lZ7e5C6QFVlM3vHfzUgabKoZa3PqwUotaBk29tGrCFPKjVxPIyiNbIYHtGhwaF4lrJFSAgHmKmabHaAgP0r56B4pN8cFqsXKTTyIfxKEW6Df1kS9EWU5u9/ndjEh2jUwhhb9CZXYz/Onqpn7squqnoe1KB9lCgfS8h/SCF/0BeVGa6qvV8E6tFm86TUpml625xk5ugGCyti79Wme4d2LhpVbsTMOay9XWtby6HmNseRXDbhtPez141uU9pJcDYSaiQYYOtqK72mhmM+vZs78FVZ+ek2kfl0PbJUIXfCtkDLCnu7JrhVGnYd+gi/pBCz8NL7K/y4muRpsz9Q4GIQCCJBEcOYFl1z4CF5+k4VBx94QSG7MW3xjEWO+7j/jFS2S8XsKPPcbSX36C6KlT2zYJJlKMnZ7isM1FnVaPORCh8/ABtIeG+dzHP4k9mUV59Xe6GA2RTkv0GOU5iADYdbVVuCsNuK9BQuLC+god+u2JWipBpMdYz231LVhrGH9YKzTUXoMneYUm3b5tryvTduoWH0CiQKDtG6j11V3wBTIYFNCstmFX5FCzTDY3SjxzmnD6FE+v/jWpXPWzULcqRFHkwIEDnDlz5hnZX29vL9PTGyEd12ZEmpqasNvtXL58eecHeLGiWxWeV6IrSRJf+cpXeNvb3kYmk7meenbp0iUaGhpeMNVcAEkqMBs9XnadSNaLRZliJXmpaApOOOtlt2mjY1ktahg09dKujZHIniQnRckUgrRqVIiUfqC167tI50Oyztms2l4hySrjzDY+Rli/TK/3VdhiXSBBLCdvGj6e87MQHyMjyZsWrybgQa/QsSbT4eEaFEL1JFKLFYDg1x/G+st3I2rlPamymY3v9JjFzNNh+elJyhovQ6VCJBCvrRv9+UhNU+/Q5zZfQUtcCZFk9R61BUnizLwbpVPP7qMtuBvSPBnysFohQS2USnHGv8JgXzNWw3bC1e2qY2iPk2BTjifibubiGwO40x43ZpuOHod8q7xrUO9QIzx95ilEjZb0+iqGll40NnkzQwA2k470VccIhcGA7VX3s/b1rxO7cJ66N76J4I8fJPTYo0TPniF27iz+73yHpU/+JQt//decPjtBJJNiZXqWgN2A7W2vRXdomBO/eJzOHxwnF9z4bAKpJMvhGHusleUhBqWKxiJuKHIQq2IGKCflmYyE6De1cdju5KUNzRyu0+MyREhJ0ywlR7kYHsWhqc4e06SUPyOwlBjBob0q8ZMEDIGDWLyvJNz4KPH6UyBIqMXqZxiUgpJk3k2hSJxdMr/GU76PV0zWeyHh0KFDnD59+hnZl8VioVAoEIlsDKrVajWZTIZ3vetdz0xT2osa3arwvBLdc+fO0dXVRV1dHdlsFpVKRS6Xw+fzveCqud7kFRIVLGQsqmYiZUzDAXypEQ7bBmjXJkhkT5ItbK1gRrNT9Bu36n0FBLoMPfQbTEj50zRrcyhlaLdS+RJTYwKEjPNMNT+IKdlMr+9+wrFQxf0B2NQtFGSqYc2qBqI5+Ro6h9ZRNT2LZauf2s/l1CRHZ8j5Aphedlj2dsFICq0o0qRRMVemCe1mZLO1WUo1mPQ1D7RrrujuwJVALcNeqhxyNX5O1xBP1SbzgA099Gg4QK5Q3Qd3YWWFrFFguKsZo1bNvgEXjkErF5QBToY9pArb35M7EmE6FuRgt6uiN7DNoOVAn5PGDiNPpJbY3++klmA7qZDn4oPfouHIffjP/ZyGwy+vanvrTbZupqPHUOh1KC0WoidPUPfGN5ENBEhOTJAYvYzSYsH6spejam7G2dpCJpshtxpA5XQgqlWY7jnGmToN9xy7DXFTZTaRyzKyusph+/YqqkGp4khjM4edDlTaNMcDkxxpaEOo8irxp6ublk/mM9i1GbzpK8wlxvCmPOSkrQl5Y1EPderKModr0FQ5++FLzWHL7qdu8VcRChrinT/BarHg0g3TotuNRhBRVJlmphDKX6+exElGg/99puKvpZs9U+jp6ble1dXr9SQSCV7zmtfw8MMPk6lRcvYiasPzSnQ/97nP8a53vQvgOtG9cuUKFosFvb52P8znAzPRpyquo1fKCwpIZ2fIFkIll0cyp+ky9KAQFPQaetllUJPLPU0iNw9AKLPAbnN5a6ZOnYt4Bf/fvCLDYsNTZBx+elbvpik8WHFkpxTlV1FMSvnTkAAasfqpSHeq+um1UDJL8Os/wfor9yHInFVQCAKe9RgHTUbOydTmXkMsUdtNz2Ko3Y6q1u58OQEipbCTajBAZgdEV6EQSe0gnlcUBGLp2lLLgqkUZwMrKHq0PJFwMxMPVdwmVyjwtHuZ1mYrTtvWaWxRgKEOBwP9Dvz6JCf8SyxGw2SkPE+klugeqr/uoCAX4SvnUOqN5GJhtA0udA5XVdvrb9IXC4JA/QMPkPZ6UbtcBP7rOyQuX6GQTKJqakLlcBA7ewbjgQNIi4v4P/2fKJ2NCFet9grpDNOf+SpSg52mm5rW8pLE0143R+ztGJQqDjc2c7i5AZU2zUh0gdHQMunCxnd9JrDAgfpW2YmENo22Kkuya6hkIZmTcswn4piVlS3zAJQy7cgAxJwOs/elKH2DqNsuoWw6i0JYIZm9Qih9hmD6LOvpCzRo5DXPVYOLgf/LavLCM77f5wPnz59n3759z9j+6uvricViJJPJ60RXpVJx//3386Mf/WhnO39RulAVnjeim0wmefLJJ3n5yzcqB9lsFqVSyeLiIsPDw8/XadUMOUQ3KSMj3aSsJ5LzVlxPzE/TpYV07iTJnGfb8rXUJYbNXVu3QWTA2MGw0UC+cIlmjR6xwqgdoGBMcrn5QRQFNYPe+9GnS0+rRnPyp9LzUnWRr9U+gOxqK5Fs9RrW0UePg0RZS7Gb0aQzk80XNtwWovJlCwCroeo7wwF0mtojc2uVLuyI6O4wkCGbqZ2o3kzEqoVRp5Ht2lEKgQpyh2KYDqyzlo1zoNOJs87MgQEnBpeGc1EvF9a8RS3lLsR8JJx5BtoqSw/USgW7WxsInnkUe6uL1ZMP0XDk3qrPU6HZXoFUWm00vOnNJMfHQalE17cLVWMjhWSCyJNPIBqNRE+f5soXv4i2r4vGP/rt69uG/+thNL0dnFLnOKYp3pdw0rtMi1XDaHSB0bD7Orm9GefXlxiyNaGRoWFu0smLBL8ZsVzl3oFEPkEgq0GrqNxnIUkyZoQkAWNwD47lN5A0zJHrOktEcZ6sVLwiHUhfpEknr7EWoCBDqyyR54mVj5Au4sH+QsPPf/5z7r777mdsf4Ig0NXVxezs7HWiC/Cbv/mbfPazn93Zzl8kulXheSO6P/jBD3jd61533U4sm83i8/nQaDTYbLX5WD5f8KdmCWe3k83N0CrM+NOVDaktqsaK6wBY1Q7ShfIyiGD6PF2GVjSimj3mLvoMEM+eJZzdcC2IZifoLeN/C6ASNcSzMSSxgNt2gbn6E7StH6Jz7XZUua1VIwUqfKnStkI3Yz1T3RShL1mdPtepdVRVRdSLelzCAGvf+AkNb70fQUb7tSDBAWMbynUt97W1ECsUiMvUkg7Y6xm2OOh02Gg0V/eA7auvQ5cWaTNWfmjeDBEBZY3e1HIrY8Wg3GGzVCq9A6Kr3xnRNe3Q41arVpLM1Xb+yVyOU143q8oYJ1aX8MsgzIFskjOCl31DzqINhN1NdezrcyHUifzs8R+S8K/h9Syz/z2/R+fu6gsNhRLOAoa9e2n9yEdp+s13oXG6yHq9RE+dIu12IyqV1L/xTdz/v/4W070vQdRvzNikpxeIn7yA7S2/xGg2yqDKUPRBJQqwkpJHsEZDHrrMdRiV279Ho1LDofoWDjc2EMx7GTBXV83WKRREc/LuZeuZIDmpqWzvgElpIi+V/441CSeNiw+gyOvxtX2DpGlmWyNz0eMnL2KXKaGQE3QEkMit8tTKX7zg9bp+v5/mZvmx53LgdDpZXV1FFEVyV6//wcFBQqEQq6vln98lIXFLanSXlpa45557GBgYYGhoiP/1v/4XAL/6q7/Kvn372LdvHx0dHVuq5n/9139NT08PfX19PPTQQ7V9HjLwvHV7/eQnP+G9733v9b+z2Szz8/MvCN/cmyGnmmtTtxHNjVVcL19E+F8MChlWYxIFdGKQVk2UULq4yD6UPkuP4SjT8fEtr5uUdhwaB+HMBBZ1Dn9WQV7Kk1SHGG96GGuilT7fywnql/BaLlMQc9g1LQTjlavRABpRL7sRTSkoGTB3ki3kuCTDnsqhqcOm1jMZG2OX2UGuYGQyWtpXWIkSl6aPC2tBTjz4I3JWPb137MEkGhgJlL4Z7TW0EA3mOT+9sc4hpYqLuSwHW5ycXS498Bmw16PIiYwv37C30iqVHOpycWnRS6aMu8CQwwGZApMLfmbZaEi7vaeFC2EfiSLJbZuhEkX2NjezEooyvRzgttYWzqx6yMp0h+iv35Ca7Olr5tKkp+oGBd0OfWJTO9DYqrUqqK1vDwC9Vg3ymvGLwmrQEpbZzV/0+CoV0Vx10glJgCfjS/T11VHw5snm8rQ121hORbkS9cPVn7a2tR3X77wfXXsnQSCvyTBob+TKtDwvbofFgFim0VAQBNTNzaibm7HcfTeFbBYpm0VxVZ6W2zRNHz9xnuB//hD7u96EwmQgD0zkEgyqjIxmt858NOoNRAryZ2wmIj46DHWo00kyhQL91gYEMc18YpmZTRKnpcQKHYYG5uPy4spb9MaqZkjcSS89xj7i2cvUqa1Y1Wa0okhBihPL+Ujm3QhCNyKKbb7pYk6Pbe0OxLyWQPNPyG3yxJUzCJWEPJn8GjqFnWS+vHQtU5A/M+VOPMV46BsM2H5V9ja3Gq5pap3O2r2wb4YoirhcLtbW1q432wO86lWv4tFHH+Vtb3vbM3as5xtKpZK///u/58CBA0SjUQ4ePMh99923xTv4D//wD6+n3165coWvfe1rXL58GY/Hw7333svk5OT14uczieeloitJEmfPnuXgwYPXX0smk+RyOVpbb44+vLWRKyRZiFfu1MzJyFxXCGqCMpPPojIDIfQKS0U/xmj6NK26jVjLRm0bXYYuRMmDP32OrBTHn55iwLjpexEgZFjisvNH5BRpBr2voj7ag0qQ53NpVlpp1TUxbOmsGAncaWjFpdOzkBjBkxpjn7WBxk2pSVveq6hj2NJNNBdgLj4PwGp6lWB2jmN1Tiw3JRQJkkC7po9YwsXjHi+hWIT1b/6ChrffhycZZiLu4XBzEw7dVt3xkL6JvryLSzN+5tY3HpBKQaBbp+VMKMwZj4fehjq67VslHgP2enabHUwtBxhf2foQTeVynF50YzfrGW7ZWtUXgL1NjfSb6picW2XSfWOAkMsXODfhxhZXc7i++A3aqFZztKUFq0rLuQUPnnCUVDbH6Vk3TqWJ4fryU9ydNhvDDY1M+PyMrPg4FfDQ0VdPa5O17HbXt2+0M9jeyFOeZdr3O2hsqj5VqaPZjtlauyZZvUOSra7R8usaDLraLeQA7Pra3/tEIoCiTYVXmeDE2jJL0a1VUHVDI7r2Gw2ukXSa8+EV9u0p3Qxn1KrZ1+ukc6CeBX2MM55ljrjkVUJFleo6yQWI5lJI2RzrX/ou4e89iuOPfgv9vsHry0+mQ9xWRL5QX4NGfT4eoNdaj04bYSY1yXRigdxNZDJZyBLNxWjUypstqZfpyrIZ07F5WnUWBOYIZy7iS51nLT1J8qoEwJeawbE5tKGgwLS+H8fyL5MwTbHW8v0tJBcAOXIHIF0IYlCYEcs2LAukKxDhmxHOzFe1/q2Gnp6eLUEPzxQ6OjpYXV3dUvG+9957efTRR5/xYz2faG5u5sCBA8CGl/DAwABut/v6ckmS+MY3vsFb3/pWAL73ve/xlre8BY1GQ2dnJz09PZwqYkP4TOB5IbqTk5P09PRsYe6pVIqOjo7n43Rqhi9xkkeX3oxRLE8kFYKKtVTlkIN6Tbusiq5J2UCsgnvDdUgyGniEAvncGO26RlK5cQLp0W3Z7CupEQZNvVt3LUj4zOMstZykmS4a57rpyJWOjxQQ6DX2IRDFnZogkDnHkNlcNBLYqjIzZG4nkJkimL3xXpeT84jCGodsHddlCSICu83daBQSE9FJ8je9ZwmJ6fgUVnWCQ/ZWBMCl6UTMdvO4Zw1fcqNysf6tx9HuakHbc+OBfTG4TFpMcLuzhX69gyGplSuzISbXtsoodhv0jMYT1+s6k4EAs+Egh1pd7GloLElwb4Y3EuPSio+h1kZcVjMHmpvo0lu5MuNjZqW0dCMQTTAy7mWPpoEusxWAer2eI64WhJzA6Xk3gfj26pc7FGFscY0D9uZtdkxOk4kDTc3M+4OMrmwdWI37/cwVwuwddqEvoRW+RnBnAuuMuje2v7KyxrIqwe5DLahlJI/1tjWwq8fBdGidFSHF7oOtKGqwKTObtTW5EVyD3JS0UtDukGibNDsjygaFqqoYXYkNDWxrvx27ZYNQKhUiQx2NDA41EW7Icjzu5nJ4DUmAXEHi9JKbw07nFr/kfDJJfHSE9R/+kHys+H3S7VnC9/9+mnwoQtNHPoC6dev0sTefQS8oMAlbKz2mGj9ThShtI7c3I5SNoxTBoqrcFG1UVf/DEhFJ5d1l11lKjNKs3YshNETT4q8iSIoNmYJxruj6pbS5xRDOztCo3eoPrhS02NStOLUDtOuHUQnVNf/qVfKarW9VHDp0iOPHy1uE1gK1Wo3RaLyu0b12rDNnztQu97jFNbrz8/OcP3+eo0ePXn/tiSeeoLGxkd7eDR7hdru3FDZbWlq2EONnEs+LdOHRRx/l3ntvNDxkMhny+Tz9/WVSXm4hZPIRLgX+nsXo96++4qFVfwdLie3ShHpNOwYhRlyqx5uaLrtftSjvYWZWOYjn5VV0w1l5+d0GdQOr6eI30GtYTZ2nx7iX6dhGEESztgONqMCXnGLK8iPUeiPOwDFahPs5bzxOXHXjxluvcWBQKFhOjm7ZZzC7gEpQsNe6l8vhRSQK9Ju68KWmWUoWJ/NZKcN84jK9pkZUQiPBTIjJ2GTF9xjPJ4gnxhnQH+XHS1ulBbFzk0Qev0jb37xn23bJfJYz6/OY/HWsx4o/TI6YzHx7bSuJLUgSp91uenU25tdCFc9vM0a9PvY5mhiZkq95Bph0+1GIAi8f7uSp5SXOROTdOC4tr6BVKTnW0sJ8PESr2cIFtwdvqPT0Za5Q4GnvMvWNenZr6xmd3JCtdDba0WlV18ntzcjk8jztduPsNtFe0DI1ufV7FgTo72wkKeUY2zQwSGfznJ5309pjxZRVMDdbftAgKkT6B5tZz6c5PrtEr6ueRDbHcqD6xhlxh410KtXOpuN0aiVUHyp3HWqhtuOPr/mxWXQc7mjlUniV05kVKKMgOb24TF1gDfeli6xfGSOz6oOChNJmxXrffVvWbbGYERdmOPGv/xv9K+7A9MqXlowbPp2JcERj4bHUjSpjrTOcEvK00iupIJ2GRtL5LKlCcdmJiIBarN4NxK62IlGm+CGBIdZDYWEIsyXESuu3kBTlpTtpucWPq/CnztNlOEo67yOdD5DOr5PLhbh2xddpduNNybfbMijl+y7finjVq17FX/3VXyFJUsXY62rR2NjI7Ozs9b8VCgU9PT1MTk7S11e6OFQSz4Mcem1tjUOHDl3/+3d+53f4nd/5nW3rxWIx3vSmN/FP//RP10PAAP7zP//zejUXKEryn+nP/RqeF6L7yCOP8Hd/93fX/758+TIKheIFERDhjj3CBf/fkM5v1ZeK+YsYlE3XLbu0CjNObROx9GlSgoRaDKJX2EiUCHOwq12IkrwnWUHmjdqidBLLySO6WtEOlG+oA4lo5jIDpkMEM6sEM1enea7+NjOqGPNNj6JPOTiw/lJiyiRTpku4rM0sJ8aIl2jGKZDHnz5Hv6mNeE5g6SYyXApraR+NGhu+dLU3+K3V6uxaCN+nvovz//lVlJbiTWFGpYb1WPFqu0WhQCkIBEq8v9UaYm8BWV3ixZAvSERSaTL56h7AqWyOM3NuhtoaObMkf2TtTyTwJxIMDTSgSShKEtyb4QlH8RBl3yEn/ukgkUiKoe4mAqkkI97S+1jyhxAEOHColYUxH/H4VgKg06noGWhiLhTirOeGZnza7UelEDnU4+LCnJecjKbBBosBV6sVdzbG7tZGRpfkvbebIeyQKNdSxd6CHTwYg8kkF5WrhDKlp8azwXWip08RPX0Kt9FE3fAwe972NhZ8PgLf/haN7/4tRI2Ger2eLoeVtUKUc9/4JtFHT9L0vrdy7PY7OO0r/Zs7n4nwPlPrFqKbqVE0Hc/Jvx7n4j76za2Mh73kpQINGhNOvRmDEnJSjGBuhUBGRKfQkZSZSAlgVZewYZRAH2/Htn6YlHYFr+v7KNUiRoWNaK70b08jGslL1Tc3JbILxHNLRZcF06M06w7iTV6StS/9C5zo9vT0YDKZuHDhAvv3739G920wGCgUCiQSievWqffddx+PPPJIbUT3eUBDQ0PF5LhsNsub3vQmfu3Xfo03vvGN11/P5XJ85zvf4ezZs9dfa2lpYWnpxm9veXn5GdVHb8ZzLl3I5XLMzc3R3X2j89Pj8aDT6W75rk137Kc87fvjbSQXoCBFcWr0CIi06wepU4SIZ04hCBvvKV9Yx6XRc3PYuF5hZZehB6M0gpYFdIryPrQCAsFMZRkEgFFVJ++NIT/2Mi9lCWc9hLKlH0oJ7SoTzd8mZhhjX/A2NIsG1NnK02AqUSIgU3t8DcEqnRsAfIkbD+xCNofn77+B/fV3oBtoL7lNk7a0rrScpZhNqyWRqe2BXIWV5jakauzwB0hmazvf6fV12SR3My64vQQteZparZxb9rLgD1XcRpLg7JybQoOagd0bN8e6OgNDh1pJ2xWcWnCzVmSAkc0XODexTIvVRHdTaZu83pZ6+oeaWDbEOb6+zFw0xPngCnu7mzFpq5MRaFVK1OqdVXQlYWf3xlpDSQB0KhWhMgEowZ8+hvuf/oFCIkHTu36Llt//H+hedi+ruTzh73yb9nf/Fsf27Waw047fEOZkfJ6zX/sm8RMXafr4+1Du6uCMf5mjzS0l5SVJqcBqPkOb4sZ9JJKtrbswkK2uoj8eWeJlTa0M2PLoNIsE86Msp0dZycyTLqTwpPxYVE4UVVTNDUXCU7QJJ87lN2CIdeNrfoiA40nyyiTpQpw8CtRFPMo1ogGHpgOXrgek6h/nqXx5chxOXcKqKn1f3IwXOtEFePWrX82DDz74rOzbYrEwPz9//e9rRLd6CAjSc/+vEiRJ4t3vfjcDAwN88IMf3LLs0Ucfpb+/n5aWluuvve51r+NrX/sa6XSaubk5pqamOHLkSA2fR2U850T39OnTHDly5HqJemlpCaVSiVarJVvjA/a5wkri8bLLU9mL9BqcpLLHyRXRSyVzI3QZNuQZSkFDj2EAh8JNOnsSQSiQyq/SoTWXbNAyKRvo0vegl+HDCFCQ5HWpS5JAsII92jVoRAPrGRlkRoCUaY2zjh+wZlig138bvWu3ocuWJow6hbxmtmtQC1oCmeoCIUSUeBI3vpvgd59EaTdh/aXbym5nKhOhuc9g5GIJ/WF9jTGksDNyEq0hEe4aEjVuq9qBfVg8k8VXRWzyNaxHE5zzrnDgji68Ypozc25ZCWiLqyHmPesc7HahVW+QDo1Kwd5dTpr7rFwsrHEu6CV/Uyn0jM+DaBLZ3VrZBtBpM7N/wEnOBT9bn+NQhxNdjbNWxfxyq8FOUuEajOV/w9r2DgSlCtu996Fp3hh05KJR3J/7LOZX/xLWY+2cTi0wGluhgETkJ08Sf+ocjj9+F0rrjfvBqdUl9jY0oSuRoHcqHeaoxsxuh527uhto0lfveWtT60nk5acWXkOyECCeLz2onoot06bvLbn8ZqiFG886daqB5uXXYgkNs9b4M9aafkpOtfVaCGd9mJXttOkG6NIP0KZrp0GlQ42fZHaMteQJGnT7qnpPWtFOvkJUe4EsAjFUQmWt8otEtzyMRiM+n4/C1Wu5u7ub+fn567ZjVeEW1Og+9dRTfOlLX+KnP/3pdTuxa5/l1772tS2yBYChoSEeeOABBgcHuf/++/nUpz71rDguwPMgXXjkkUe4b5NWa3Jyks7OTkKhENlsdosFx60GX+JE2eUq0Ugkc6XsOtnMSXYZX0o+d4ls9olty8OZK/QZjzAeu9H9qVdYadY2kkyfIZnNYRabSYpG0mXcFAQEQpniU1I3w6Ry4s/Km/Yyq1wEsvIqyiZVM/7sEiGdl5DWiyXVRHfgCBlFkiXLKMmbuoZzVdpV2dSN+OWQ7k0wio1bHDBSMx7M9+yvqA1SFIpfKu1aDd5MhnSJ2QizuvYmokSq9oFfMFV9UMY1hGtMAFOJipqnkwHSmdqJfSqXJV8lGZQkifOTyzRaTbT12zkf8XEiVlmy4U8m8CcTHOxuZt4TJJK88XkpRIHBVgdJfZ6RiI/p6I2B2NP+ZVx1ZloLmm3NjOXQYbei0uysJrGeqP33YNFpoEy/rcKgR8rnyK6vozCaKGSz+L74OYwHD9F8220E0jc2jp+4QOSRp2j60/dsIbnXcDHgpdtsJ5xKs7bJL7jXbqXJomYgYuBn+VGWwxvX29GGTp5ek3c/AnBojazkqvPjBghlKw+oL4Xn2G/tZzo2XnFdUYqiS7RgXd+PJBQI1J8goy1vt5iX4gTTpfe9kjyPQ7t7o5lYBvRKGwkZM2jJ3AoNmj14UqXtMVWiAZX4wkozLYY777yTkZERgsHgM+7nL4oiDoeDlZUVnE4ngiBw5MgRTp06xe233/6MHuv5wB133FFyVv4LX/hC0dc//OEP8+EPf/hZPKsNPOcV3Z/+9Ke87GUvAzacFhKJBD09PajV6lu6ohtOT1Wc5jGqOpEq5CdJQg6xcIVcofRNLZI+Q6uuE41opMswgE30ksycBGFj5JcpeHFqrAglvr4mTSu79C4a1PLCJ3Qq+VG8yipuZqrNU20ChHUrjDY9yoppiq71Q/St3oE+Y72+SjhbXUVPW0HmUfSchK03r+xaCFWDtfjKm5BOFr+Aj5hMnCqThKbaQZLYeqy2qVmNSkm0xix1pSgSq3FbVY0hFAAapWJH0qWdqJ58oShL6UhZDWoxnPV5wSAy3NpEvVHPgX4Xug4NT+c9XIr6itoMu+MRJpN+Dne4UJWpXuhVKg62O+nqsDCtWONkaIEj7U5UNWh1VYJIcAdEV1umCp1dW8P77/+X+l9+A9q2jSnu9OIihUQC232voMF6436Rj8VZ/88f0fCBt6Oss5bc50xkHUSJg41N3N3VyFCrijVxmQvRWa5I6/RxY9tz63Mcrm9BKbOJxVRDIcWk1BDJyUsvvBiao9NQOpBBkAScSSf2hWGMkT78DU+x4vpRRZILoFdWvveup+cwKuXZvKkV8u/l6+lLNGtLB4n8d6jmAmi1WlwuF16vPD94uchkMqhUKtrb21lYuBEcdd9991VvM/Z8VHNvbVVpRTynRDcajZJKpai/ajx/5coV7HY7oiiiUqluaaLrS1QOhYDKkaw6RQPJXKVO+gJ6YR2HMkgqcxyJ7Q/gZPYynfqtIvYNguuE/CjhzGUK+Sns6spJL/kqWEIiL7/aV6pTOaJd5XLTY3jNE3SuH6B/9U5s6WZWZQZIXEO+ygowQHZTmpskSeRWQ6gc1orbrUe2fwdKQaBdq2UmWZpEFHK13SHUokioiB2YHNiMtXuumqvUn25GrWlr8P9n77/DJNvz8k7wc3z4iIzIyEjvyvu6Vbeu69uW203To0GtbqlBgpVWoNWglme1vQyMZrVazYgZDQwIo0FIq5EAAcMipkcIo+6mgTa3zC1vslx67yLDx/Fn/8jKyszKMCciq+o2Q7/Pk0/dG3FcRBzz/r6/9/u+m+R8P3D3qe8vO+1pmtf1Ctc2FtlIG3y9NMOK2bzRycHj4tosvV0RhjsSu9472Jnk/IEenJTFpco0D8ub14QHXFqdpa8zwlDCn3RpCye6ujZdG9pFncvM2siy+K9+gY5PfJLIK+eevq4NDuKUyzilIvHQ9vmU+43/TPi1U2jDzYnYml4hGnG4URhnvrpdTb0hrHPG2917cGNjmuMdXQSl+vfflBbmza4BYppFqEY6WiP0tSCRcIEHxWV6ArubajrlFK/Z5/nkxic4LAxQGbjHavdXsDT/XrWKDzJvexUcD2Sh+T1AavHxnzfvkNaOkgkcoy94iv7gSfqCh+jSMkjeCkWzefLnnwS8CC6y1YQWiUSeNqUBfOxjH+MrX/lK6xv8U0Z0Pc/b1bjWKl4q0f2jP/ojPvzhDz/9/8XFRY4f3zQGl2X5W5zoNvfXK1rNraAiir+uQk1K4HiNqwgV8yIDweO7CG7B3J5esr0yESFPSKqtiw1KCQZDJwn6JigCa0YrEb+N7Z8KgVXudv8Bc/G7DJROcmHlw/SWBxF9NlUU22hGKZjbV6yTL4MgIDUhhrIgsrixd18nQiHu7fDOrQXdaO+c7gyF2q5SRvcRThDR2pcO7Uejq+3TcaVV2cKzKJrtyTVg01+2HU30RHGDGTvH68N9vDrcy9BQjPvCMpcKM5Sd2ufNZHGDRafAa4ON7yPpUIjXB/roTUa4vrFAtE9jyMfMRS3UamzUpyZZ+PmfJf7BDxN77fVd74mKQujoMcq3b6Gom9ey8XiG6o0xEp/5hO/9Vt29v8maoBNCJuTtPl/G8gsMRKJ0qNvXckwJ8Fq6n1e7EijqMhP6Pe4WH9MfihKT/XvEJlqUHxmuxYpucCY+yqlwN6/phzi3dALbXuF25rd4kPjPzLorhKTulrbr+QyEKNkLxHzE/HotJvW5noki2JTMG+SM99gwrpIz7lC2ZjCcLO+t/EM8P77t3+JQFAWzzVmtetjptjA4OMjMzKbcprOzE8MwKDaYFayJb8EI4BcJQRD49Kc/3fb6L5XofvnLX36qz11aWkIUxac6mG9l6YLtVljXbzRcJih3U/HlbeuPvfiNlAyytofg7kTVWaZbDSDtSMEJy50MhU4QZJ2CcZmy8U2GQsdrrr8TcaUHw2fkZkhKUvKZ/17S1skPzHM99S5hO8qbKx/jYP44qlP/AZNSk+DTZg02Y4QPRY4SD1ikA5uSh9LFe4TPHmy43ul4P0mrk4FMjJFnqm+N3BZOdnVxOJJkqVDklYHmVfUtCMCZ3m6CyJw/WD+MoR6iQY10PExPrPVGHYCQ2tr+dsJPBGk9qPtsQvBjFVYPoiBQ3kfzXjzUmrH+Tliey4yZ42J5mvGKP+2o4dhcWpvl1ECaZHB734oo8kpPNyd70qw5ZS4uzzL/xPd5tpRnRtrglUP+z8Ut7CTxnueR/9ofs/zv/lfSn/nzxN/+YM11wqfPUL55k9LGOubMItl/90U6vvdTiC18V+tm7WvrtpDlFHsdMyZLq0QUiTfSg7yeSREJZpk2xpjVZ3e5VsxUlukMBkjWs/h6BprU+ogz5moEFmS6Zw6hi3nu9P4nFhN3cKTNZ1zVKVN2I8g+mry20EpS2ap+l3TgXM33NDFKUh3B9Umcd8J0c3Xf2zBuc3/jX7e8zW81DA8P8+CBf/9gP9hJdHt6elhcXHwq1frIRz7CH/3RHz3X/f2fEW+88QZXrjRPoa2Fl0p0v/71r/P2228Dm01oO60mVFXFaLMJ5kVjpXoZt0mTTVD2V6ktW/7K76UG9l07ofpwKiha44yGBogpPQyGjqK48+SNK7g7UtgM4zI9gfpdwwmlh5TahSL4q/hFFH/6YIBurZeAaBELBnkUv8u7XX9AVS5zfu0DnM5eILZDx6sICidiB59onKd5tWMIqYkOdjPSOM2l9Rkm9Uekost8oLuPwh/eIPbRszXXORTtYkTq4/LEOjP5Ig8Ka0zaG1wY6iWkKIRFkbAosfLM4OxwKsXJRJr70ytMrGbJVqtcW1jgaE8nAx2Np5zP9HYzGung7uMlpldyXJmeRwvJnB5uTk7ioQCvjvbjOC7fHJumtFjl9b4+3wRSlUXOD/dScA1e6+9HbUMLGtiH/ECV90d0zX04VESC6r4KFq3aje1Zv83Us1vrS3gBl9f6e7kw0EsoLHNtfYHb68s1pRyG43ApN8vJY12EmwygOmNBXj3ZQ/exIGKXQzoaxCkVWf6lf0vx2lV6/9bfJXSs/uA4ePgIVnadL/29H2PtF/431NEBQm+c8f3ZgrK8q4ltJ26T5ZRX2xpuSc9TdBeYqk7hNEg/W6iuEVFEurTmcdTNnAm2IHjQa6T5SP4c5/PHKAaWudP7n1iNPcIT9w7E1s1lFOkwfmzBRCQqLQZCLFdv0RN8lf7gafqfzPwlZA2ZNQz7PmAi4P+6E5DQmzSv3d/4RTaM+k1rfxLwzjvvtGn7VR+WZaEom9ecLMt0dHSwtrbW9v4E7+X/vd/46le/yptvvsmBAwc4ffo0p06d4vTp077WfWmuCwsLCySTSQKBAK7rks/neeONN56+H41Gn7sA/HnAcousVJqPtmy3eXUxIvdR9RHgEJQzVBuYg++E43NUnjfuoqBQMMZra+4EB8G+S0o9wPoOt4a0NoImiqzr91lypjkYPsb90kLDivNAaBTbWeJA+BDj5frZ4aqoMhIaZq5yj4LlogoqZ2LHuFWYZD48zXxomg6zkwPFo6iOht5ZYDX4mKny3afbmK/e4nisl4IVYrqyWyrRHcjguBHey+4+rwzP4OHjryLkipz8wAUmK7mn7/WFEiTcOFen9j5UHFwuZmfJJMJ8RyDD9cJ2xWk4kSAhadyZq/27ja2sIgsCF4b7uD2/jG5tny+nejJUiyZ3H++VhayXqqyXqhwbTFMqGcxnd1fJOyJBRruS3J1d5r2J7XPLsByu352npzNKJBPk7nLth2RIVTje18WjjXUuL2wOrmbzBXpiUVKhIHfqrLcTPbEoffEYtxaXOHwgTSlrsLDRmr9xRyjImixh2u0RVsNq3zc4HFTBR/R2PYQ0mX2YTexLP5s1qhCHywv+gmEArq0t0NsTJaNHmFja1r9qssSx0U6qmsm9wjKLhRywWcXlzl2Wfum3Cb5yjq6/+H2ISmOiLCoKQz/239IxJLOmty4x6ouGWaW2321FsKl4Np1egDVh9/1PE2XWzVxdXfFOrBgbpNQYfcGOXTpgERgMx+kNhQhILpLY+CkfcFUOVvsZMnpYUbLcCD/kRCbOhtHcDWK2Os6hyHk2jMaVqoSSwnNb8//1cHDdDQpWbSegojVOOvgqK9VrvrYXkFKYbmPpmofNe8s/xsf6fxXJZ9Lntxreeecd/sk/+SfPLSFtq3K7c1sDAwNMT0+TTqd5++23+ZEf+ZEWN7rvw/oTh9/93d9te92XRnR3xv5OTEwQCoV2WYlFIhFKdbxI3y9s6O9xZ/UL6NYKUeUQRWuq5nJhKYPuw7ImJHf5Irphucc30S35jPiNKANkmwRNuFQJsYgpdxKRU+BVyFsPKMNTI/d1Y4zj0bPcLU7sWV8TgwyE+lh6mmy2yLHIKWaqOcrO7mnIoeAIurPGbGXbCsf2TJb0m5yIDrFqCCybWTa0NYSIS4/QgbCmcWD1NdZDsyyHJ9CVzcafNWMBEZHXkie4kVtEFTU61X5ubMziUnv6c/53x8h8/BBiaJIPJY7zcKNMj5ziyvQy400Shpb1Mulgkol4gGOqShiZm7OLzDW5+diex+XZOTKRCIcjnXiuh162GBtv/luPLa4iiyLnD/ZzZ3qJaGBTc3lnZomrE/Wr/4trRVgrcu5gN7PVIqvlze8sFtA43NPJ2Noql+b3nkOLhSKLhSJnertZKBRYLe8lKyPJDuLBALcWl1h4IuG4nV1BFUVePdTH7cmlpsT1SE8aQYb3lhYYGIqRNFUezjbWdj+LUEBhH+YWBPehSwZQ99lIJ+9D2wzgua0/9RbKRVbFCucP91KqmIRTEveKy1zRZ9jZ++pWDVZ/5t/jFEp0/T/+Mm+feZMr95vr9JPBIId646zLlbaIbjKosdpAJXVTWOeMl+Qrwm7/755gnAL+B1nrZoGYEuatzgECsoXpllg1VtHdDeaffA8SEkOhPqYrO64zD7qtJIf0QUJOgPHAHL/fcRFb2DzfW5EkPCrd53DkNFmjfgJZRIpTakOdYzRxClqrXqVDO+6rCqvJSUyz+W9ftCa5m/0ZTnf+A9/H+a2ELReoa9eucf78+X1vr1qtEgzu7gNJJpPcunUL27YJBAIkk0nm5+fp6/PnmPGnCYVCgVgsRjTams/+Trw0ovulL32Jv//3/z7AnmQ02PSYE0UR27bf9yhg17OZyP0cU7l/iYcDAmiCQQn5mZx0gZ7gKarmLWLqIUpN5Kuu6zPAwedxhpV+yj6Jrip1QKNs9Sew3HUGtFGmqrfrLrOq3+BY5DxjO7x+B4KjGM7SDpK7iZx5m04lQVo7wFRlnLAUpTeQZr5a3w9y1ZhGFhTOxE5geyJz1YdMuYvQAdPxW3RWBjiU3WyAWQ5PsBaaxRUdZiu3ORkb5d01l5ly/c9aWcgz/7v3ePNffi8uLrPmHbq8c7w75a/RLi0p6J7DxdwCr8f7ufGotZmI5VIJy3YorramkbNdlyvTc5zqzfBwbpWrE/6jTO88XiKoybxxuB9Ldrm9slKT4D6LmwtLhBSF1/r7uTo/j+N5HO3qRBLFzWpvDXtR03X55tocA90xUl6Asfm9xPVkfwbdsxlb3X5vtlhgDo8LJ/qYnlyjUGlcZe2IhRgaTDK2ssqaYHLqSC+3H/gLPtkJVZVoMMvdFPuN591v0ajaZgqe5TrcLS9Tkqo1f0eA8jdvIIgiPf/o8wiyxMX8NGeP9zIxXqD8TKOlJkmc6EvjRas8tOa4yRIKMhcyQ1xZbu13CSoiNLifPiDHh+jhK97Crupthxak0GJxvmCVMbxV5su1r2MHh7y5QUrtoKiXOKD3MWL0kpXz3A1OkFX2EmurRmBQI0yW5xkIDqM7y8TlTkJSGFkQcLwKFXuFsj1JSM5Q8VkAAVDEEFYDG0sAQfDQrTk0KdlUA+zHyWELj/P/nu7Qh+gK7U26Mp0cshhBFN7f53w9CILA5z//ef7ZP/tn/Nqv/dq+t7dTn7tzH1ta3YGBAd555x2+/OUv81f+yl9pvsFvAReEl4m/9Jf+Er/927/N+fPnd1XFtyruExN7i27P4qWcaZ7ncfPmTc6ePYtpmui6zvDw8J7lYrEYhUKBZLJ+NOeLRsWa5c7qPyBv3Nz1umFP0BV4i2X9OgARuYeIpFAyLgFQMm8xEHyD2WeIHkBAStCtdQEWGz64bsXyR5wCUqdvout6/ssBute84WzduMrhyHmmK3MMhvpZbECMTTcH7lXOxN5itvKoIcndgu1ZmO4yM9XdN19XdFiJTLESmSJghcmURzm79J0UtTWWIuOgyXuqxzvheR5j//yPGP6ecwS7t/V52Yr/ZqRXAzGu6pv7qLYZ6pAMBinWsI3zA0EUsNpovqoaNhsbFe6ZrRnmVyyLy7NzHEglESSBsVV/NnCz5QKzFHj1UC/zCzlyFZ1TAxnylsGtldoPbA+By6sLdHQGOK31cuvRXoLUl0mQTIe5Nb/E8sx2le1qdZETRzPkVsqsZpvPDkWCGgdH08y5RV7t6OO9WX+6+D1oMrXdDOY+O9UL+3CMSIfDlBqEi5S/eYPYn/kwwg4N9Y2NBQYG4qRyQWbXChzt7iTWIfDYneOe92CXjMPybO7p47zVd4BLC4u+rQxdoTF5twWPJa/CIBFmdqRZaG0MOiRBJNfAIUbwIFzVOGYeRLNUHmmzfCl+GUusf4wFq7VZCcszCUtxPOcBur2BXmPTQakDERUXf/eqiJzB8dHAZnp5YspRDCcHDXzgWxuPeVxf/ScMRd+hai+j28tUnSV0ewXHq3Kk429zuOOvt7TFl4kf+qEfYmRkhPHx8T1FuVZRi+gC9Pf3c+fOHQYGBvj4xz/OT/7kT/ojunxraGZfFn77t38b2CyQZrNZHj16hN4gkrwWXgrRvXv3LsePH0cURR49ekQ8HkesYWkVj8fJ5/PvK9G9ufx5SlZtXWnFuEJUHiWqdFA2r1O2dj9gdOs6cWWI/JM4XQGBvtAJLPMuRWOTkPYFX2e+BhneQipwgrwx6fNo/Z/t5RYaGXKmv2XzxnWSSm9DkrsTrmegu/6rkEEpDtS/UetKmenEbabjt0noGXqLR4hvdHNWmOeBukRV3PtAWPnaONWlAq/8f/6LXa8vlPwf1yktzE9tbB5XvtgeWY0o+7Dx2odDgaYp+HxO7sF6ucJGi6EKAO+tLRANqwzFO7i+5K9qvqHrXNIXOXmsi/JylaVskYNDaaSQxJ2FZSZnausV7y6sEFQVzpzo5/bYPG6Naf3ezhipnig3i8t8vbB5XU6V8hzp6qRsmMzl/VfjOiNBNG1/t9FqHSsxv1irthcsAhDTNOqNt6yVLNbiKsFTe5tUZ8t5IkGVgWMCk85404r4zdI4Z3r6eLRapmjVJuYBSeZMOkUwWEaU88SVIHmrPgm/Kaxz2ksyI2wTXb8kcCcyWgL7WT2wBx12jGG9j26zk1V1gzuBh0S6YkyU53EbEMIuNYrpttY4BqCKFo3u6Xlrlu7gyaYOQFvQpAgVn2OognmfdOBVVvX6el2//SBbEPB4lPvFmu89yv0CveFPEFGHW9rmy0I0GuUv/sW/yG/8xm+0rp99Brlcjp6evQ3FkUgE0zQxTZMzZ85w8+ZN/7rgP0VEdwv/6l/9K376p3+aubk5zp49y8WLF3nrrbd8+RC/FNeFnfrcubm5uiOkLaL7fsF0NihZj+svIFgk1ARF4yJujU5c1zOIigaSoNKhDtIfyFA1LmJ72xXGinmNhDq0Z92w3Edv4ABYl8gE+vAzfvY7jaWKcco+lw1KaXTXn6dfQEpQbIFAmz4a9nZCFHxaXQmQCy7zoPObPOqZxhRsvrN8ku8qnWLETCPt6Gq+/3Nf4/jf/Qiisk0Ww0Kcik9ru0E5wJJtYnoekiCwWvBPkHdC24cucz8XraK0v/Z+rMeKlslCvkWvSODO+iqLgSonTvZyb2ON2/PLTf2Fq6bFldl5+kaTDHQnnr5+ZKiLg6cyPAoUeDc3T+WZkIgHK2uslstcGOxr+h0f6evk5NEMK8EKf7g4yZmeDMmg/6ndndiPh29UUfdljRZQ6p+HlSt3CF04uauauxNxLcCK4/9+/aA8T1eHwGBk231EFAROd6b52EiSQ/2rbKg3WXAeM2fM0hd16A8l6m5vkiKDRJB2WGYUnNYkAwBJbdtmLOwEOV4+yHduvM2xygFW1HV+P/l13oveYU3ZYKoyzbHYaM3tyILIQDDFkVi65WMAcHw0my1V79AZeMXX9qQWa7BZ/RoJ9QgBKU1CPUw6cIau4Ct0BU6Q1AZQxdZs9FSpvsuM65ncWvvH+0pDfNH41Kc+xe/8zu/sezvZbLZu8a63t5eFhQVEUeT48ePcvXu35nLfBvz0T/80V65cYWhoiK9+9atcv379afhYM7yUiu6XvvQlfv7nfx5d1zFNs+boBralC+8XNvQrNBsqOW7j46va04yGPkRW/zqVGtPLHhYa66hiFNMtoohR0toIhnH5aee4bl6nN/gBFqo396wPmzG8Xdphqk6hkYztKcJKH2XHny9gUM6A5a8pMCx3se5zWYCCnfO9LIDRIjEGWHN07mtZ7mkLdDghDps9vKoPsyGVGVdWuBgKoMR3E5IwHfj15H01EOW9J7KFdDDMhk9f4Wch7MPPqlaV0i9EuX2iG2zSad8Iggd6mz7Zuu2w2kYc8vhKFlkUeev8MI/LG1wtr0COhmNIw3a4MjPPwc4kluMwvbFNPkKqzNGhLpbsIreLy7uMGm6sLpHQApzr7uHakj/pUVc4xGhXHESYL+fwWiQmAJ2BMMVqruX1tuA2uN8ZD6cJv1HfvicVCJJrkWMvGRuEFI23egcJKAZ5YYaie5u5GpXHdWudkFLlaLyX+/m9A3VPgAmvyAFiPCRPVyBI0Wr9+RFFJl4ZYsjowRFcprV5vpK4iF1HmvCg+JCTsSMYboGEqiFhU3XzZM0VHG+D8TIcjpxkocHM3bMQ8C9ZW9bv06GOUjAbaxM9WrxmBJeAFES35zf/nnm74k0TUYYoWf4S0GSx8azVun6F2eJvMRj7TGvH+ZLwkY98hO/5nu8hl8uRSCTa2oau6yiKglRnFq63t5fr168zPDzMBz7wAS5fvszJkyebb/h9DnB4PxAIBAgENgdbhmFw9OhR337HL5zomqbJwsICQ0ND3Lp1i46OjpqyBdj0l3NdF9d16y7zIrFJdBtBpmw1lxVYziqNtE6Gs0yXdgqLUTzrDob5zT0PX934Jp2B11nTt2+WIjKZ4Amq1gPyxiUUMU5Y6qLcpLNWbKGJAMH/qF1qYYQvE2Ddai3iN9/GQ2u+uk28N6QKl4LjXAqM0+lEOGB18U9+9P9N1i6yaJrMKOs4goviRdhkQI0hAIfVEF8sbervUlqIDV9Djb2w7fYDDvbjGbufcvB+0ss0RcJpcE00g9Fmw5XtupQ9m6lyazNFj9eyKJLEawN9LFdLJNMh7uRWuLhR3wc7Z+hcNRY419vD5HqOnLF3qlcQ4FR3GkHzuJtbZDWbA+BUppuFQrllGUJU2Z+Fk95ANiFnUtirdbrUgLAityWDqbgGnYkC90sPm07BVtwKJpOcTx3m6vrefoTHcp5PKL2MdBnMVqcZCA1wLwdlp/GBKZ7EqJ3kiNVFpxHisVrgG7Hr6JK/6rom6WSth9RL6X5cmmAoNMqq0bxRBiCpJLA8f7pe17Oo2hVUMY5ZtwosPHkOtQbPa/C9CTaiZyEKKm6j5Z5urPl96l72J8iEPoQm+6vMvUwEg0EOHDjA48ePefXVV9vaxvr6esOqYygUwvM8dF1H0zRsn/e5P00a3S309/eTy+X49Kc/zcc//nE6Ojro7fWXX/DCie7Fixd58803gc3I32YGv9FolEKh0PYIaj9oRnTDyjDlRtIGNk21y3VsyHbCdtawnfp2MoLgIVi3iCrDFK0ZugIncJxFCsblp8tYbp6gHMP0wlg1tK8CKqnASTxcBEQ8H0Sj6vgnblYLFdew0sN6Cx3DkqCw0WLTVFiKUbRr3IAFWJNLrMklZu/fIbIEnxz4bs4bw+TEClkhjEIeq8lT96ASZNKqPpUjhqX2K5zVNqOBASpm++s6+xB3KftwFwjICuV9eNXuxye3XXJvOQ6XZ+fJDEe4tNqCT+3KIslAkLOJbm4sb2qSU6EghzIJpqtZblfmebbYdmdjibga4Fymh2vLzSt7QUnmRGcGT3A4kEgynvOfmrUTObP+9a4dGKD8jet13xf20YRnt8CQbRzmzDHe7DrOuyuzyILIq+kkHQGDheoU2nqG+cpm+tlMZYZDsW6myzIb5u4vOeSqHLBTjNopgp7ClJzla4EJuhMe2Rabx9Qmn93FYcXIE5VTlHxYT6bUGK2c4hVnjZR2CM+yCSmdBMQokiADJpaTQ7cXiSj9GL7SOrdhNmleqzozpLQLrOr1z4st2E0i7AEst8Cd9R/nfOZ/8n2MLxOVSoVw2F+CXi2sra3tCsaqhZ6eHpZ89i78acZv/dZvAfCP/tE/4qMf/Sj5fJ5PfvKTvtZ94UT3S1/6Eu+88w6GYWCaJplM48Ss7u5uFhcXXzrRtZw8JfNhw2VUqYNyE44RVAap+Kj6anIGy2lsueNSIUKFoNZP2azdJFC1Z0mpx1jWp3YQWYnOwGmK1gxrT5oLMsFzLNWRQuxErknyzU4UrfrVnmexqdfyv+24kibv4wGxExE5Rd3OmicQBJhdmedScIJL3gSdToRj5dP8/eQAy47JDb3EfbOMUUM7di4Qfeq2AOzS/raKfKW9JjaAYhPbrUaw9tHhr+xDVxyU5H0RXX0fRHcfSg+Aus1TjZDVq2T1Km8ODGDIBnc2FrmUbVxVzps6N8w5LvT2M7a6RqmG1ONAPEkqFOR+YYlruU0LPUWQeL13gMsLcy0NYwQ8lqv1yUjg6DDZf/tFzOkF7LUcxsNpEt/znQhPZtt0P1W9Oii0MVszUb3Hnx06yrz+gLyzSP4Jj51XV+g1upgNbJKFRX2JnmCSgBhDL1scsDsZcZK4eEzI63w18JiCqCMCx+NdVJ3WSYblNa+8l50SYbkHmRJ2k3M/JEnkWzzF143HJGUP235ErV9xtXqLuDpK0fJXVRaQqdoLTdtDNvSrxNWj5Js8Lw3b3wzeQvn36S//l2TCH/a1/MtEJpNhcXGRY8eOtbX+xsYGp06darhMT08PN27c8L/RP2X2YrXw4Q+3dq68cH3AV7/6VT72sY8xPj5e121hJzKZDMvLrY1Cnwc29Ks0khsAOG5zcqKKKV/7E32OMSQpRNkab7hM0RyjJ3gcEEkFzhCUO1nTr2M420RxXb9Gd/Bs3W1E5QFS2ilSqj/DalkIkrf9V0GcFklhqEEjQy2IiITlFKrYuMqavTFP8uyTEbYAsXia2c4yP1uc58vlDfpljb/Z0c/nE318NJSg60nVVgKGlSDjT7rAz6Z7cFyPvmTzCNGdkAWBC3199Kfjbfmn9iVjaA0aiJpBd9onjPvxe/UbRVwLkkDbiWlAww75ZhCE/dl35e0qN7Lz2C3Y+11dmyMWUjie3Gxqiqoar3X3cTCVYFJf5b3sDKUdMxeW53AlP8WpnjSpgD+Z0khHnLdGezjSUX9aVYpHSX7/n2H1Z38Ve22Dwu98jfVf/A9P38+1oM/fCUUUWTNyba3rCAXKzu7Zq+nAAkPG5n1L8KDT6mAg28Uncwf4hHOEsmjyHwN3+c3QLa6r86RjIT7c1cPxhEvBeUBvKIHYoj66kR3ZTqwYiyQbRKtvQWrDajAip3EbEG4PB8OpIgv+KpIhuRua2LoBCIKL42YbhmLIQgjT9T/LcC/7E76XfZk4dOgQjx83nsWth2q1iqqqTTlPKBTCtm3fsgVgm+y+zL8/wXihRDeXy+F5HolEgvn5+Zreuc9ClmWCwSDFYusd2vvBhn656TIVu7kI3/PZ1GT58DcEkER/RCpvXCWlHWFdv1k3VW1dv0Y6sFvoHpH7SWknKdpzrBu3qVpjdGnDTfcXVWo3FNZCUIwh+3VQQGAwdJwNY4GDkaMIPh5APYEhkmqGifJ7nE2YHIrUPjbP88jemCN5to+eQIaMOsL17CI3Sw84NKrT2xPiP5XX+cnsLL9SWKbquvyZSCdfSA7yg/Fe1hyT4x2dHIt2cWt2mfcWF1jwSpw/1IfcZFpfROBcTw+ZQJSrkwtcnp1npC/FULrD17fSnYhydrSXhVKRJavM+UP9Tfe5E6loiFcO9xHwZHpj7SXM7IesalL7k0eBfTTBAS2RzGcRC2i4++gMD7aZmrZULfKwvMxHh4axJYP3NmaYKDWe4bhTWEQIOpxK1541i6oqbw51c3wwwgLLvLcxxYPSHG929yPVGcWE3zpL4MgIhd/5OsBTKYMiiqwa7TUOD4SjbQ8+yvbe50JF1IlbEV7Pn+GT2Q8yWh1gVcny+4mvc7HjMkIKEqEgH0z3cj6lYDHOZOUeBXuzwj5dmeZ4vLaTQi10KBEqjn+SP1F+RF9wu6onIBBXUgwED3AwcoyDkYNITQbotRCWmxdVqs4yUfWgr+1pkr97EYDhLJHQam9XQCamDPveFoAsti8PeJE4ePAgjx7Vj7FvhLW1Nd+uAN3d3b4b8YX36e9PMl6odOGrX/0qH/3oR7FtG13Xm2pVtrCVGLKfyLdW4Lo6BaOxF2xQHqLqg+jqVvMEIFHQfG0LwPH86TEFJHJm48oveBSMeyTVQ5hulYCcYE2/S2lHLLHjmYjOLB1KLxt1PkunNoomBujU+lgzGpvs9waPkTNmWdcvcih8lunqHGYdp4IOJYMqBpipbGazl6s3GQqOkLdNNmo0skXkGJ1qN1OV7Sm0srOEKi7zgc5zXNtYp+psV+MqczlEUeLEwde4lZvF3eGduWrkQcrzHSdGuDFhsl41uKgXuKgXkIC/nRrCE0W+y1IoCQ7paJyxapl12+bi8hyDPXGirsrDhb3HeSqToVwxuTG9e4r00er6ZqzvoX7uTi+hm3sHSelYmP7OODfnllgobT7kHdfh0twcA11xooJSc59bSEVDDPZ0cGNlkaXFzd9KlUVeH+7n2tIiltO8Unoi04XjunxzcoYLA708WF+nYLRW5ewMh1hSC1RrfMZmCMoyOu3rkg0fn7EeIkGV1Va713dgP7pm1/PIGmUM1//xZ80KWaPCG/3DXF1YxPEcTmbSBIMwVljk2rMPUwGu5iY53tnNYrFaM643+X/9s+R+6ysUf+8bhN88gypKXMh0M2nMkW9D1pEOBJhrQ/UgIrBurCN4AikrQbfZScbqRPQEdMmgIlW5HLu5qyHdcQ06tTKaO8d0tf6A5VHpAcdjR7hXaHYPha5AnA2fDglbeFh6xCvxkxjOCiVrCdubpWDNPg3XyAoyg4Eh8qa/5wKAKsq+xEBr+m3SgVfIGo11tZLvYsQm8sY1ukMfxHV1PM/C8UrYTg7DWadi3SGiDFPy0a8Cm/0v34o4dOgQv/RLv9TWumtra76Ke7DJed7vDIH/M+OFEt0vf/nLfO5zn2N6eppQKOTbSaG7u5uLFy9y+PDhF3l4ABjWDBOr/xVak68iKPc0JaeqlG6aLQ4QkgepWo31TVuoV519FgG5l5KPoAcXC0HwKNnzuwjuTlhuiYCkEZVTFHfoZNPaQURsNp5os0RBYTR8mony3pz0oBinQ+1muXrv6Wvrxg3SSheOMMSSvv1dSoJCf+gws+X7uM84z6+Zk8hoHAwfYbz8EA8PEZHh8BHmK5O7SO5TCB456yonYp2U7GHuF+eRkUiXkyipKDdy9eOBx8qTpPuCHPcG+dr4OgktwLF4moAF/+P85jEnJZljwRB/riNNXJKYMHQe61UmjCJnD/UyMbdOoWpwtLMTHIG7s/V/F9t1uTwzR1cszMFwJ3eekOFkJMhwJsnNuUWWZ2p79c7mNon6qwd7mVzI7tL91iK4WzBtl6uP5+lPxglGFcZWak/DnurOYFg295a2j//q7AKJYIDzvb1cXWg8qBM8ON2ToWxavDs7S3ciwqiW4u5sa9Kk3o4YTtWlUG1PQmDsQ64RCqhtB2wA+y6FFKw2tNwCXN6Y4tX+PpasLA/0WZoxogfFJTqUECdCXdzNruDqBsXf/ybli7ew13PIXUnO/Tef5+SHT7HsTDHnrtAbS5C2Onhc8K/VBwgrQmvfqQcdbogTQh+dGwohN8C6nGNJXeNhaApTtIjaYV4pHavpuhSRQ6yazavyU5XHDIf6mao0HrxHZIWNFsddoiCyql/HrTNgczybrOUSFCOYrr9qsedDJ7yFrDFGWO6nXOeeD+C2GAgBYNnze6R1W5MDgrdZgPF85GtHvkWJ7quvvsrf+lt/y3+QwxM4jtOSLdlWeIRv/AmXErxsvFCi++677/KTP/mTXLx40bcNBICqqsiyXDc673khX/1Dptb+Do6bAyCpfWDPqFdApit4kqpxmYDch27XvwkG5T5MH5Yuihj3ZUolCQnKPrtmVakT8BfesKnZanyl6M46EbkXS4wRUzPgGeTM3dG9rmeR1a8yGjrOorFO9Un0bm/wODljhmV9b9Rv1VkBb42DkXNMlB/RpQ2gO2Wmy/WNsm0MlvRbDIcO4BGiZBdqkus9+3LXkMQ13u58k6vrOnOZZUoTK7imjajWP/ULdpUCD/jUySN8/VaZkrnBfW1b+5h1bL5RKvCNUgEZgdFAgIOBIB+OJVAEgYO9cRwnwJfG52t6KdfCSrHMSrHM6dFuAqLM7bkl3pv2F0n73vwC8YDG2e5eZldzdQnus5jL5iELr470Mp7PslHVEYDTPd2UDZM7i7XPvVxV5/rsAicyafKWsSdJTATO9vaQrVS5tWMbS6USS6USrxzoYX4pR7bc+MF6vLcLS3a5urFEMhXktNLDrcnWKmmCQEsV0Wehqe1ZaG3B8fGQb4T1GhVW35A8lluQgG1YFdaWV+i4NsftX/tttKPDHPyb38fpkwcwIwXWnTUmre3rbtXIoYll3uga4uJKC7+L0JwlhlyVfruDfruDtBMlJ1bwoh5X1buUpb13z6JcRnNVFFfeE81bT5bxLBzPoeiskVITrJu5mstIgoDYxuxCp5rGpXFzVt7OEguOYpp38MNkTNv/d+54Ji4ikqDheAaKGCYkd6IJEWRRRsBu40wVqVr17zEVe5Jk4FXW9atNtxRR9oYofStgaGgIVVV5/Pgxhw4111pvYXFxke7ubt/kWBAEIpGI/wP7NtFtCS+M6E5PT9Pd3Y2maRQKhacWY36xJV/Yb850LXiex1L+Z1jM/yQ7G9BE+w6K2IHlblYoQlIPYUmiYlzc/H9RwkCuqcNNaacQvVUUMY7VJOHG83mjDCgDlI29ZLH2Nv1PO/k1pi/bC/QFLjBbvdFwuaxxj4SUpFM9guPBcrVJuovgktXf42jkPPeK/j4fwKoxTko7zJrZWpe06Zgs6TmkkEagv4Pyo2WiJ5o33VmuQ8k0eaWzgz8q5GouY+PxUK/yUN98+CqCwLAW4IwI338ggyoKzJQNJos6E6Uq5Sb+uXcXlvEcr2n617PI6wbvLS4wkungchOC+yxuTC4SDWp8aHiI2XyeWwv+vt+x5VUUSeT1/n6uLy7iui5ne3tYKhS5Pl//IXx9cZGIqnJutJdrk/O7zM8F4NRANwUMbua2SXLWqHLZqHL2cIb1pXLTRLqgJnP4cBfTVgFb8Dgc6eThYms+zgDKPgI2oL3Qky1EFHVX01mrUCR/17k5t0rx67cp33iMMT5P9IOn+dj/8H+n63iKOWOaRWGibsSv4Vo8rjzmwz0H+cbSEnadEzemBDjVkUSSV3GFFTJaB8vGk0qwB3E3SI8Tp9uOk3aimILNrJzljjrPqlTEE+C1xCDlesa1wJy2TL/RzWRwd9VSd/0PFkp2mYwWoWSraKJMdzBOVNYQsKi6BbLmCpZXRkRsSWccVyJNHXsAZqsTHA6/8tQtpx40MYbptnYfLFlzDIXPUjZvY7truPbaroKLIibQxATGk8JPMwTlbswGhR+Agn6HgNSN3sTZIqyM+Nrny4YgCHzwgx/kj//4j1siujMzM5w5c6alfcVirTU2fxv+8cKI7pe//GU+/vGPs7q6iizLqGrjlJRn0dPTw9WrV18I0Z1Z/wLr5V/f87rn5Ukqh1k2NkgHzmBat9Ht7ZukZT8kFfgAaztGqIoYJ6n2UzE3PXiTyimWjQL1hlwx5QCSz+GY4LNbFkBvoTnCaJLuthNmjajjWqg6WdLKEBNl/8TVbaNJqGi13qRoutum+tHjfRTvzfsiup4toQgCPYrKrM/Oe8vzmDIMZtdW8bxNl4XBsMZoNMAb6RgBSWS2rDNR0pkpG+Se0azGQwE2Cu2FUACU2vTYLVYNTNNh6kmAgV9YjsuV6TkOpjooWBZX55pr1AFKpsnlpXmODHRilW3mswVODXSz6pS5mqtPkm9sLBMKyZzL9HHj8cKeRrF0MkLPUIw7+RW+ubFNeATgwsF+Hsys+PYhPtadRgmIZEIRlivtOQyU2tCwbiGphfZFdJs10XmOQ/a3vkb217+6/aIkIcgSkeE0s+aEb+nF3eJjznX1Mp4zWTc2z19ZEDndkSERqLBuP6bAJNggeiI9bobT3knkCsTcIHmxwpJcYExd5I+lh7g1HPHdJqX1mcACrxZP7iG660ZrA5xlY5nTiUGmKw/IWcvknjldFvRZDoSPMt7CvU4VXPyGhT8qP+RA6DBZo768LapksO3WbdEMawq7zv3fcnPE1NOs+nTE0KRUU6LrohOWEk2IrkBYGfS1z/cDH/rQh/jyl7/MD/7gD/pavlKp4Hley/67rSz/pzEwYj94YUT3m9/8Jn/jb/wNJicnfXce7sRW1Nvzli94nstG5T/Vfd+2rtAb/BBF4+s139eNi0SVExSth6S0k7jOBBVzm/hWrNtkgm+yXN0tgZCFMCntMCXjCoIYJSB1oTfR89o+SSYIFH1OY3meQLmFRoqK7V9/57QYS2i2WO0SkchZuZbWAag621W56Ik+1v/YX2ygYQgcCYS432JaVTIQJOdtPuxtz2OitElsIYckwEA4wGgkwCvJCAlVJm/azFYM5soGgrY/olvU2/fn9fYxH1a2bJZLrZPBB2trKKLIoeEUV9b8keSKY/PN3BxHDqTwci4zazlGh1IoHTI315eYWt37IPeAy8tzZJJhRuQO7s7VvvZCisKx/jQLYp6b1QXIQlhWuNDTx5UWK+UCUNgH0Y2pAXyzoxqoOPX3bc6vMf33fgYAMRQg/p0X8Eyb8nv3MRfW0Gyr5afDRHmBZDjKoVgvIdmm6I2ju/MUTZVeK0WnmaTTTiB6Ilklz7q8gNyV4ndLdxoSak1UOBrrJiQ1nlwvS1VUV9klX+hQ4lTc1vy4ATaa9DuMl+8zGj7CRNnfvcTx/N9HPTwWjDwdUoqqs46ITFjpIijFUEQVwbORBJeCXXt2sR5kMYjexLu9aN6iM/Aqa3pzz3UJf8WrojlGh/YKG8aNmu8HpAyy2EJ650vG5z73Of7hP/yHjI2N+fLTnZmZYXCwdeLuOw32/wR2Xy8bL4zo3r9/n6NHj/K1r32t7fi8kZERxsfHmxoutwLdeozbJLGlatXXfwqCg8wamcBJKuZ7NZepGJdIqKefalqT2klce4aScQkA280TkJNYbhDH20tqZKEDTTnwZGJMoNlZHZC6KVv+7MqCSoaizxQgUVAp2f50vwBVpzVCWHJae4pHlSQFp3VLo/yOsIHY6UEmf/bL2CUdOdI4wrhQcTgbivBHxVxL+0soAXJ1VNiOB1MlnanSNiGNKxID4QAj0SBHOyJ8ZyrEqm4xVzaYLRnMVwwsH6kHiiRS3U+wQttr7s96zHJdNmrE5TbDg/w6iihw5tUeLi3N00QCCcByucwyZV492MvUfJb8kwa3/kSMTFeE29UF3jV2N52WbYsr67Oc7MqwWqo2re4mtABHO1PMGxtENY2AJLNQaf28De4jeQ8ga9S+vjzLRn84i3agl/QPfAp9bJqN/3QRbbibzN/8cwSPDRHqCNFOurWh64xGXJxCicP2IaJOGEMwWVU2WFJXuRt+tFtDa89xLnmMm7lZnB0zPAICByPddAc8ys4YljfNhilwOv4Kt/L1AxDmtWX6jQyTwc1BSVJNUNFbI7pROUTBR1jNTGWCjNbHchPnGRGRcgMtay1UnBJ9gZNEJBfdXgZ3nKq7+yfpCrzCehOJw07E5V4cp/lFUjXHCEpdm/0UDeD6LsRAxRxHERNYu2QRAqqYIBlonJb6fqOjo4Mf+IEf4Fd/9Vf5x//4Hzdc1vM8FhcX+dCHPvRiD+rbRLclvBCi63ke5XKZQCCAbduk0+m2ttPT08ODBw+wLAtln16aW6iYjUeqkpjGbFIBED23LsndhIvgThNVDhAU1ZqpZro9SUJ9hXXjzvaLnkQ0cJ688YDKk6a4ZOAC2SZi/oAyBD6JbkBK+ya6Ibmbium/+lu0W4khFciarcWWBqU40DphWDe2CbiaipC4MMLK796k9y+83nC9fMmkJxDzLVvYQlhqTaaTtxzyuTJ3cmVWxAA3phboDCgMRDROp8J810ASUYClisl8xWSpYrJcNak+0+gWCwZq2kP5hbWPpi1Vbp/o7mfflueRayPQ4b3lBZKRIG/2D5KlzJ3SUnOf2twyYVnhtZ6+mjroo8lOwiGZO/kFLuefSGx0CEkKF9IDXFmd9X18siASktu/5ymiyJpem+gu/sT/RvnqA5SeFPP/6H8l/Nox+n70+9GGu58uY9YYgO+CB3EvQJcbocsJ0+VGiHgqZcEC0WJeqjCrLVGSyjWdEHZiqjLG8dgwk+UiMTnIcCSE7U5Sda+S2zluEzzWzWu8kjjLjdx0zRmIGW2Rc6XjT4luoMVrEaBLS7LmI37c9iyqTpmwFKHcQDqWVDtxaL2qLFLdrMDW+f5W9OuktGPkjOaNuQBBOUTJx2XmeGUicj9VZ5VGjMr0QZq3YHsFOrW3sL0SjlvBcnOYzjqeu8Z65StUrBlC38LyhXPnzvGrv/qrTZdbXV0lmUwi7WPg/208f7wQoruyskImk2F6enpfOdGCIDA0NMTU1FRLQvBGKBuNia4i91FtcpNT5W7MJg1RtrtBSBmk1IBYl83rdAbeYE2/Skg5hunqezpUc/oVOgLn2aiRLR6U+3CFLqbKt+gOnmVdv9HwmGDTw9cvNCkB+CO6qhhrST8bllNk7dZKRorYuAJbCwIyWWP3QyhxfoS1r441JLoiAglD5EELFj5b0IR9pICJIh6wqlus6hbX1jaPXRKgJ6TRG1I5nQqTCXYQlESKlsNy1WSpaiIoGnmjitVmwIHltl/T3U88MGxqfdtFO1pv2IzpNVSb2xtLvrWoZdvi8vosJ7oyrJerlEyTE+k0K3aBh5XFmg4NFcfiytosp5LdLFWKrNYhoAC9oRiD0QTjhVW+tjzOa12D3FxfbNkiLROMsFxj8OuUdcpXHyCoCr1f+IsomQ6EGqEWW2EKALIn0uEGSbvhJ8Q2gopEXtBZkUosSEVuKouUBBMEGI6YGD5SJHdiXp/irc4RFvXrFJt81BXjBmcTx7hbWMN0dwtoS3KFgKtxOjyIpupUnBnSagerpn/pQFhWWfMpjS7YOfoCQ1Scyo4IdpAEiQ4lRVSJEpeDrOr+JA474XrNNbglaxlN7MBwm38+oQX7kJL1gK7Aa6zUeO4AqGKCqrPUknueS5VCDfmC65mMrf8457t/voWtvVycPn2aH/3RH2263MzMzAvpK3oW39botoYXQnTHxsY4evQo8/PzdHd3N1+hAQYHB/na177GgQMH/GtYGqBi3mi8gNBcKyT4JIuGj2aBknGJeOCDrFbrJ7Pl9RvE1KMUnkghZDFKUDnOfOUeLps3uOXqXToDx8kZ9+puR5PSCD51VZvwX1EKyWnWfYRlbCEoJYHWpvPcNkxJNbEL95mqxMbFx6Q+dKThegk1wslgmG8UGzto1ILg7sc8tfYdzPFgrryp492JiCLRHVTpDqoc7gjyWkcPsiiwYdosPSHAy7rJmm41lSYYrURQPgPZZ4d/PfgJrqiH/SSXPXtu+MXd3DLdoQiebHKlMOVrndsbS8QUjXOdfVxb2z73FVHiZLIby7O4t7HMkvHknBPgvbUZBsMJRCQmij7TFAUYicdZX9/Y44IgBlV6/+vvY+HH/z1KX+cu+6MoMl2CRq8Yor/kkfT6CXkqNi4bYpVVscy4tM676gxGnajYlBrFcFu7rrcgC/4r8yvGGEciw0xVLIr25sDhQDhDSpOpmIuIhSJz4SlgM1imL5hmvupvJstr0U9uXp/maPQUnmfgYVB1chTNVSx3mqwBWQMOhM+w7EP3ugVVDGJas00HYIa7QYd6BMPM0Ww+2/Lh8b4TJeMGndp5EDxEPDzPxHHzWM46rrdCRD1D3qz/vNm7//r30tXKH7Ja+WPSoRc85d8mRkdHmZqaariMYRiUy2Xf3rn7Qov9MH/a8UKI7v379zl27BjFYrFtfe4WZFkmk8kwPz/PwMDAvrbleiZVs3GnrOM11402yhffgiQmsHx46m6mlTXL0naoWrOE5CEUKcOiPsWatTvJzcNlw5gmpoxQtCZ3vScLYSLacVb1MYr2NZLaUTZ82JbZrv8bviK2lmIn+RhQPAvDab0DXRI64JlkK1GVEZpMtSfEMP2qxkwb0+JOEwuxhuu2WFUtWQ6PrSqPC1WKapAbi5tVlg5VJvOEAJ9KhElqMqIgULYd1g2LdcN+8q9F1rCxPA99H/peaZ8V3f2QbGcfRNf22ifYQUVmpdqay0XBMri2Ps8rnb2ULYuOQIBHhVVubjlE1Hh+zZRzKILI612DXF6ZqUtn+sNRhhNRZqqrXM0/5nBHF9mqwVJ1e0ZDFiWGjh1m6INvc1rKkBY00mjIgkjRs1jxDFxV4rEyR1aoUBGslkIv0oEo+TZ/Sr2JLeOzyFpT9Aa66FBHKFjzbFgPqVQgFIwxkjvD8hOiW7ILBESLkXA/k+Xmg/Gi1VoABgCeydJOIvvMdzZVGadXG2LD8pd8llS7wfUnddkwH5AJNLYkk4VgQw/4WnAxcZxJzDqOCa67jCTU7jPZC4Fqg7AKgLH1HycVfANRaF1u8qLheV7TQtvjx48ZHR1tKVji23g5eGEV3U996lNYlvVcHBNGR0e5dOkS/f39+zqJqua9pqN1o8nFuLlM8xuGJvVh+WicksUEBR/aVscrEhJPMF25U3cZ29Mp24VNba29hOApJAJnWDcnWdrhhbthTBNXD5BvEBncoR7BbSES0qUFouOJLVmnAXQHDiMKEURBwvVJTroDo5TtKq+l+rm8vv27yvEgdr7+YOVEfBC16FIJgCJJmD6rjUFF5lRPhrypM9zTwdRiaw/MY/1plKhMSFOoGK3bhIUCmw8ID8iaNlnTZuyZzxmWRVKaQkpT6A1pT0iwgiIKOCIsRzTWTIt102bdtFi3LF+hF35N+WtBFIS6/qt+sJ+KrrkPorsfDe319QVOJjNcWauf0rcTludyZW2a4x0ZVvUKK0/Ia1CSOZVOY6HzsLhEMZelA5XDxEgUXY4IcXqDfXimgyIIuJ7HqlLm0cgwa57BmFtgFQP7CX0WgA8lBpnTW5/JgE2HinaIrgDkTH8V152oOllKleyuRMWKUiBghxFdCVfcfF13qzjWNIcjB3hYqv+dh6QAOat1Pa3dpMHZ8Wzyto3qM/ksLAVoZby8ot8koR6gsOOeropxgnIKVQyjiRol42u00sWkiIm6JBfAcpbo0F5v6vkLm8mizZ6tFWuKqfwvMZrwZ+P1MiGKIrIs1007q1arrK2tcfz48ZdyPN+WLrSGF1bR/Qt/4S/g7GM6cicCgQCxWIzV1VW6urra3k6zRjRZ7KbiNp7ekcVObLe5CF8S/aWcqFIv2PW7iHfC8pFdY7g5ZDFDh3aevL3EYo3pMgeDorVKRBmgZO2uGsSUUUBl2XiEiEJSO0TWeNRwn52BExiOQVTuotjEpSEq92IR4VHpGiPh48xVprAadO+GpQ6CSg8Tlc2qd6fag+cJrDZokovIHUTlbibKWzf9OT6SOcK9nMiKUUCJhbBqEN3BUCeaqHA3P8MnzFEuy484elTDWulkbLX+w08Q4FxfD5OlDS4ub36fsiRy4XQf98dW0K3Gv9toJokcEbm1ugIF6EqHGVWS3Jn0l4p3oCuJHJH4o5VpTo50kd+ospSr/TAt2y5l22BmhwQiqMocH8wgizCTLZBUZFKqwsFwkKQiE3rSWGF6LnnLpmA7FCybvO2Qt20Klo0ktk90VUmi6u3DLWIfRFd32vMdBgjss0G21GK8r4rAciFLRg7x4dQoYVwMQydSFIkR5x0SWLjkMJ/+PfByXLJXGE5leG9tEdN10GcWWPry7zL8Zw4+3XZPMMrhjggV5ll0rvJqaoS7uTWqLc6iyEJ79/zuQAeWl2t5vZSWYUnfW6XNBhdI6j2shbbJleWZZI2HnIge5W5xioQSJ6UmCEkyomBhODlK1jIdgRFmKpN7tlkPAgIFH5aNBXud/uABDOMeQhOmogjVFozDNmf0PER6AkdxvTyWvYjLAjgLWA5YQCJwgZx+xfc2g3If5Sba5qJ+hYhymJJVv2gCEJA6fRWRxjf+F3oj301Abq+B/UVBURS+67u+i9/8zd+s6af78OFDDh069HKqud+2F2sZL4ToLi8vY9v2vvW5O3HgwAHu3r3bNtF13AK60XjkKcs90MQ/UZN7sc3mRNfzWSkSWpjyr9j+HAfK9jKW51J16pMzyythOCohOUPFXiai9COLHazo25orF4uiMUNCHSFn7r3xK2KImHKYucpmEpoihOgJHmOxurcLWPAkUsEzzFQe4XibFey5yj1iShpJ6GLFeGaazhPpC51gpjrNqrUt7VgzF5EEiYOR40yUxnZpLEVk+kPHmCxPsWrsvvHm7QcMRwKMRs/wfyRCGA+2K1YJJcxQOM2t3BQem6PlfjfKl5QJPAdIrvGh1DGujucpW7uJ0anuLvKOzpXV3VV+23N5d32W3pEow2aE+1N7q1U9ySipzjA3lhbZOfu3Ui6zQpmzR7tZWSyyVqf6PJhKEElo3Fhbgie89c7KCgFZ5tyhPm5NLGA79e+IqixycriHR7l1Li1uPoRGOjqoIHJrbe+5owoCMUUmLkvEFZkOReZQJERvJITgOHzHoREqlkXpCQEuOw4Vx6Xy5N+y41Bxt/9/q4ob0VRM08HxYaFWC/uRLlT2QXSVfZB7gKxRIYRERJCJCjJRQSLC5n9vvyYjPZkHNz2XIjYlzyYBjOmrbDwhtHnMuhpsz/NY3ZhmKJbEtEUu/85/IPr2KQKSwplUGlXNs2xOsrjjXHlQnKQvlMJwwsxW/M1MCAhYPqRftdCphcm2kY0RkmrfP1dDswwUju4iugAuDuvmYwYDYHkzVOwZKs8wyqI5R4eSYsNnZbdDTWH4lBnMVcc5ED7Lcp0mry1YPkjhs1DFIFXr3brv5/TrhORhKvaUr+1JQvPZWEFwkdER6iSGbkH0OTvoeGUeZv8nTnf9D7te9zwPy82hSh2+tvMi8H3f933883/+z/cQ3UqlQj6f5/Tpl2iT9m2i2xKeO9EtlUqEw2FKpVJbpsn1EIvFkCSJtbW1lgMoLHuOubW/jGGNE5AH0e29U1eiEEQVm19Eok9tqdmAZO5EAx6yCwISBZ+etpIQakhyt6C7WSQxQ1I7y7J+B6+Gw4JDlaq1TEwZoLCj+tuhHqJgFZnfEfdreRXW9Nv0h86wWH2E420+uaLKIKarMlne27hQsFYRyTIaPs5UeZO4JtV+LE/lUR0zdsdzmCjfJRMYwHANsuYqPYED5K0qD4r1u5stdPAucXaog29enUERJE4mBnlQmOdmburpcr1ulEWxtK33Fzweco+hQwmUjT5uLq4y0pEgGFS4ud644XChXGSBIhfO9DHzOEehbJCMBhns7eD68iIzS/UHLzeWlwhrCueO9HH94fzTWODeRJTOzgjXVhdx1/aeQLptc2lhjqHuBGFX5tHi7nNBkUVODfUwUchyeXH3A3VyYwMBeHWwj/tLq5TMbfZheh5rpsWaaRHVVI72JLi0ukJpdfu8PJRMorqQL5UISxIhSSQoSWQ0hZAUIPTktZAookkSAUVGd2wcEQwHVqs6VcfB9Dws18P03Cf/vfmv6XpYnvv0X08UCEsSIu35ABd9VFVFQEJAFgRkhKf/HXdFekUNBZGAIBJAevKvSECQar4mPyGtoiDg4lERHUqe/ZTAFj2bdbdC0bMpsfmeXeOp9mawh+t6c8mTPrPCxN/5Xxj+8b/K9FFguYB1c4LP/jd/mXxgkQ1vYbPcV4OzLxvraKLKKx2DXN+oT+S6AwkORcM4jBOWTDwSLOm5pse2EyFJpDWzwU0IdQTEJWWDsJVA8EQ8YfeZkVK7yNYYuG/BcMsk1QQlW8XymrPvDiXB2rMD9QaYLD9gIHiQdXN7AB+VY8TkBEFJQxUELNt/6toWFMFrMudn4+EhojZNmQPwfGlvQbenSD1xD6oHfzreTSyUfhtViqPb8xjOKqa9iuGs4WFxrvvfkAq+6XtbzxOf+tSn+Gt/7a8xNzdHf3//09cfPHjAkSNHvq3N/RbGcye6Dx484PDhwwDPNdEM4MSJE7z33nt88IMf9O3AoJu3mVv9y9ju5jRwQNR49tGmSn2IokzJ+Aox9RyFOhIHiTCij69MQPWl4wXQfQYgaHI3ruFPNxeSuzAtn9o/t8rSM41te5bxSoiOTETuoeKskdJOMVupv85y9SZxpR/Xk1CkbqYqD3AbTE27OMxWbtMdGEIQOxkv3feVI79szKIIKqPhs9wt+O/+daLrCMV1+kJJrm/sfeAddpM8lPY+drNuDuI5viPxCl+ZnMOt+B9WX1mbJ5EJ8FZ0iMuzc75TtsqWxcWVOQ6NJglbCqoqc21toWb617OYzuU2SeuhPsbn1qiaFqeHe5gq5bi8VL9i5AFX5ufpDAU52NnDjYXtAVBEUznW08Xd1RUuze/dxqNsFkkQeLW3j9sLS1RrNJlFVJVjvWnuFpaeJocFBJGIJHEh1c3iah7HdVEFEVUU0ASBiKKgCgKqKKIIAgFJJB0JYrgWCgKRWAe61Vp1VkDAE5v/hg4ejudh4+3677it0CmnsPGoeg46LrrnUsZh3bXQd7ymew5VXJwnpHUgnGC+2kbT0xP4lRRo/ZtTwFM/8m8IHhtACmqc+AsfZVWb9FUVMlyTx+XHXEgd4ObGpvQBNjWkJ+JpgvIyRfs25ScMS3cgKIY4Hh3iXtG/C4vXTjoFUK4XOiNALrBMQs+wEdw9gA/JzavHWXOe4dBxHpWbNQq3Xtl3cSk7BsfCQ9hunoq9gu3NYtuzT63VUtphTCcHgv/hm+s21zhX7WnfEgbd9v/7lY2rBOU+qrueewIBMYkqJTBb8FgXBYW5wr+vWSF+nP0Jkr2/8b6QykAgwGc/+1n+2l/7a/z4j/84Z8+epVgsUi6X9yWpbAff1ui2hudOdO/fv08mk9mXf249hMNh0uk009PTjIyMNF2+VP0yC+t/A3fHdJppjxHX3iBvbAY+hNTTmPYk9hNZgONMoggdWM9ENobkA4heBcO8gSr1YjaIUgwoI5TNxrrWTYiUfUb3KlIn4I/oqlJ8s0rjAyE5TdVp7n9ruDlCgoYq9TYkuVsoWnMktVd4XL7bdNktrBrTVL2cL5K7BcszWfdh7r4TwQ6NykaV2UqN9TwYduL8sVx/oFC2rLZ0oTlDZ00r1yR/zfAom+W1/j4uz7TWOe0BVxbmSYaDdMRCXF7yv/5apcpapcrp3gxF3SAdi9QluDvheB6X5ufoDkc4EApzZ2lzkPmU4BZXeDe7uwKmey667fK7y7NkQhF61Ag35vfOYKiyyKnhDOPVNdY2dn+WM6keFtfKrJYbu6KoksTZ3gxT1ipxVcOyYLKQ8/GN7MbZaBe3WghU2Ym4qjHfftIzObO+RMCYW2PjP1+j+wc+gSAK9P69T5P94kXUrgTF9x5x+p/9ECtMtbS/+8VxRqMZAkKEDrVKyb6HzaOanre6W8Fw73Oh4yTvbdR3iRCAo9EuugMuiuixpEs4rTQHegLrZn0d+1pwjnRlaA/RxUevA8B89R6HIqd4VGrsgWu2kdbYoQTIGvVDh9aNh/QEz7HRYJmdkIQgpjXlyyEjp79HRD1Cyaz/uVQp3ZIdmYdFTE4TkxM4Xhnb3cBysngsYDsLRNQ3msYPbyEo96PbtQcYBfMOK5XfJxP+pO9je574qZ/6KX7hF36BT3ziE/z6r/860WiUo0ePvnzi/W2i2xL2b0z7DMbGxkgmk6RSqee9aQAOHz7M1NQUptl4SK6bt/mff+Zz/LP/fhHvGVLi2PeQxSTRwBvo1m1cb/tG5bgbRJS+XcvHtQs49hSmM4/rFVGFQF0/2oh6jqq1TEQ92/SzqFIPjue3IcW/HZfQQmCBIvofkHiCQM5spUrT2jgqIEUwW7A020IrQRUA4c4QlTUdy9i7r04vyIag4zQYMut2+3eZqtF+01W9aVpf+7UsFkvNu71r4dbyMp3xCJfm53ZJGZphqVzi9uoyZ/t6eG2kHzfq8W529mkVtx6WKyVu5JY4M9JNR2gzJESVRV492EMoI3FpY6ZmAtzN9UUqqs6FwV5qPQlUSeK1gV4SaZEr5UlWzRKPC+ssGBu82duP4nOWSBYEznd3E9dUhDafONo+4n0lAdaM+r9l+fYUG7/3Hu4Tu7j4B08ixYJU7s/S93f+LGK4Pfu7+eoyHdoCefsGTpOpbw+PueptXu3IEHwmnaw3EOfDnT281mEjcJNl/TZzlduMhNJEZH9NvABJNY3V4H6R11aJG517ToVSC64Ki5UxegN7bS1DUpCBYDcnoiMYDfxh6yHqIzlrqXqHqHKw6XIAMaUffDcCelhOHqmB801Q7vW5rW1IgkfRvEbFeoDprOyqyJaMq763uRlUVB+PN36q4Qzhi0Q4HOaHf/iH+ZVf+RW+8IUvUC6XW5ZSfhsvH8+d6N6/f59UKrVvz9t6kGWZQ4cOMTbWOPawal7nl/9NkX/1L8pUq7vvdK5XIKYdpWy8Sy1lX9W6SUI7jywkiKunqBqX8HaUSE37MTHtzK51JDFBWDlPwbiB6xUomw8JyMN1j08SY0jyKIoPXTC0FpHqeP6ncIUWyKjm81i30KplVLjJDa4WFEGl7LSWXqZGFLqPdZO/NrXnvUNObdnCTpTbsP7aXreNjpsnaLdZCyCkPp8I7XZwfWmR28XlpgT3WVxbWcDUHD50dJBgRuJiHYK7EyXL5HJ2hqMDKfrjm41KWwS3YwfB3QnLdbm0Os1APMKhRP0BeiYc4gMDvaQ7ZG4XZ3h3bYITnWl6w615SAPI+2hkSwci2A3S4PTJJTzTpnp/s/IuSCKD/6/vR4qFEAIKBacdNezmQKvsIwRnJ+aqDxkNi4yEungj2cuHOgMklPusGtco2run2leNSRKyR5fWfBo4qXbQH+pCaeC56gkeJXWDqLn9m2pisCUbMxcb01njTOwAr8QHORVNMRqEuLSE7Twga9wgrcVaH4L6cJjwcCg7VWQfVowBqbUZVMNZIqoeI6YeJ6mdIxU4T0o7TVIdJS4lEOy5lr3OG3rQCxZBKeZrO82+y4o1xULxN/0f2AvAO++8ww/8wA80DZF4YfDeh78/wXjuRHdycpJUKkVHx4vrjuzr66NUKpHP1x9JG9Z9OtMi0ZhAKLT3Y9pu4+5g07yPKkhU6+h1q8Ylouo5AMLqaTxPpmhud9J6VHA9A1mM71k3rJ6j7IZYrl5BlVJNY3kFZKqufzKn2znfyzo+mi22IIqtaa5bjQFVW7xZA0TkRMvrABz52Gmy39grLzngdjAuNdZO5vdBVgt66wEUW7BbGOw8i9A+rbD2OzFnthhhu4WCaVAWTNabENxnMbaxwgpFPnJo8CnBXTEbV7SnShtMVVZ5o7cP9UnFTRTgTFcX5/s6KQh5rmSnWDe27x3388sUnTKvZ/p8VXdHogne7Okj5xQ5mmjPQikVbExA5PjmdVS+tW1bKIgCwUN9eNNrVJz2KvspNYbdwAqwHrLmMgcjHgXrKmtGY9uuor2G560wEh7e815A1DgWHeV4tBOZGZaq32QkHCMk1a8CrwXn6KxuNw51al0tCxwlwWNFv8ZS9TZrxgTVZyq4y/ojDoaP+t6eiEDZZ3BExV4hpBxuvs023C4kTBzrBoZ5Ed14F918D8O6j+2uYLmLdGjHWtpetclnqli3SWinmm7HcnNNl5nI/RxOi8+X54nZ2VlSqRT/8T/+x5e+b8F7f/7+JOO5El3btvE8j0Ag8Dw3uweCIHDy5Enu3LmzR5awBdN6yE/9iw7++L1MzfetJq4EstyB3UTcb5pjRLW3KBp3sN29VRLTWUST+p5WTRUxjaKcZ1G/h/nkYi5bj4mqR6hHJcLKYZBGEJCRfCXGiFR8ujMAGK3oy7zWTpeSTzu0LbSTiBNsgxwDHPrIWTYuPcbbEYYQ8VQsXIwmU4AbenviyoAkU91H+phht090NXl/cvz9eNUCvkM3nicMx6bimU0J7k44nsfl1Rm6o0E+PDjAQCrAWHmO27mFujZmVcfianaGU51ddIf2kq6AJHMh08fxziRzxhrvrU8zUVxjvLTMGxn/koktxNTG10nHJzYH4Pk/uoOrbw7KPM+jen+O3gNDLe1rJ1Ja65XrLdg+0iS3YLpVNowHHIseQkRgNDzI6dgASSXPunGDNWOCrRJTwRqnJ+DSodaePs4GFklWe57+fyvSiC2kteZT0wvVO/QFhn1tr1tLY/uWrMGKfocO7ZU9r2tinLg6SlfgJN4zPSV+IDeRuJWMK0R8SicC8gBOk9AMAMddbFjYERCbJqgBGM4KM4V/5+vYnjeq1SoTExO8/fbb/MEf/AHr660HjOwb367otoTnSnQnJibo7u4mFvM3RbEfxONxIpEI8/O1m2sM6z7RmEggsJdACqgYTYTxktBcY+xRpmjcarhM2bpHVDtHWHuNvOuybuxtzsobt+gI7I5KVsQ4Ee0CS8YsBWuOovWQpHYQoclPlg6cRW1Q4XgWJdv/NJ4fq50tCCiUW6gsA7ht5HfLYnuDqkhPF1pXjMLt7aaog07zam5QCGC0SdoS2v4GgPo+YnLfT6KrSOK+7pPePtZut0dkrpyn4FRYrPofrN3LL1H1qrye2awgHoh18GZPL0HN48bGNI8KuwegLh5X1qcZjEUZiTaeAVNFifPpPs50pbidn+JCamhPGp1r2tz79D/m8d/4WaRoEGslx8Q/+Ffok0tU7s3gGiaHP3jW9+d5FtEmsdmNULT8D75hMwBhoXqLI5EUJesOS/pd7Dr3n7K9SExaoyfQt+c9V3RwFIvj6mkOhOIY9hgxee8sWyNoPuKtPVwMZ4Wwj+n5TrX1wfmK/pje4Fn6AofoUdN0Si4RYR7ZuYVjXUTzGVC0E7bbjKC5SFR8yds0yd/shOUs0qGdrPt+UO7F9TkImMr/67qFrhcFz/O4desWx48fp7e3lz//5/88P/ETP/FSj+HbaB3PleiOjY3R1dVFOv1yUk2OHTvGo0ePsJ6xFbKdVZwaFdYtyFIvzTpvhSZyAgBZTOP6qFTo9hyL1VsN5RIb+hU6AucBgbh2npKrsVjdHfebM27TFag99RNThomro6zq19CEMKqPIIqAlGyhGQ50H+4MWwhKKbwWnU1Nt3UiJ7QSPbwDuiuQ/MDhXfKFg06SR2Jj/WKkjQfKFsLK/jLc96PvbbVq+CycBprQZtgvyd7Xs+wlVyLKtsnV7DQf6htkRl/lvfUZSnbj6f6pUpZFY4M3Mv08K90djSZ5s7uPRMRlrDzBo9ICruByNTvFwWiaTGCbWImqTNdfeQfPdnCKVYLHBuj87NtM/Tf/jtVf+SrJT75KR6B9CYsstHf+ReUolTacCSRBIWv4s0k03DyiN85waBQAWVAYDR/gaKSfSvghbq5A0Z6j4uRJa0GkFhp2Tdfffa/i5EirMcQmQh9VaH3KXZOiGObX0a3rmM4kHrufOwXzDgntvO/tSUIQ3WosIwEw7GmSgTNNl2vFdaBiXkeTds60CmhikogyQkTx772viImX7nYwPz+PqqpP7cR+9Ed/lMuXL1MotH5+fxsvD8+V6N6/f5+uri76+vaOrF8EVFXl0KFD3Lx5c9fIzrC2bVOqVY9Pf+cq3/jj7YeNKPmp1jZvOFKk2rKIZyFL/royN/QbBJTzzFXv1b25Zo1rZILb01iamCAdOEPBmiZvbmrySvYMYTmFLNSvIEbkXkJyHwn1gK9jA6i04IXYToJNxWldEtBupbFqO8RfHaFwY1NXpngiYU8hLzYmJYEWGzR2IiTvMzLWaF/fK+2T6NpO+0RXkfa37/1UdPctLm4TZbs1MmO5DlfWpznSkeJALMnrXf0c7Yyx5CxyszBBqcb2HhWXqdo6Z5Pbjb+df+4tjv/v/y2jP/nX0ccXib19HLdiULk3w5ufPsl49RYnYwebkrFasL3W3QUAUmp7/RpJtRtP8D/4dTDQ7Zu8kjhBt2ZSsm6QNccohaeIlrclG2vGJIcjo762KQkSOdO/Jd+KMcGByJFdrwWlCBltgJHQIY5EDiP69X7cgbjSvEGvYNwjIPlzNogqQ/i1WasYVwnJjZvLLad5WugWPAw6tBGS2hAxJUFAdBBYxnYeUjQuo4pJX9uJacd97/N5wDAMHj16xMmT2xXp4eFhEokEv/zLv/xSj+XbGt3W8FyJ7r179+jr63vuQRGN0N/fjyRJzM5uT0Eb1naqzOyMzYMxm1/+Nzurqc0ra7aTa7qM4NOaS/BNjhyyZuPMcICs/h5dgVfoCr6Ci8WqfpNnS1cFc4K4MrBH96qKUdKBV8hZqyzr9yjay8SU5p7EmpjEaiHdRpWSiC1UW3uCR4grrT0QB4KHcaClqUgRkUORIxyMFQkbLnJi81wddhNMSrmG66a1GN0RiZPp1q3zNEkiHQmQaFO/HlHVll0sdmLfRNdtn+iqPqyUGmG/+uB2sR+OXLbbq34+LKzQHQlyuzTOTKW5rKjkGNzamOFssp+wvD0LlTg0QKw3Te+jOfA8ut4eQY+ZuHjcyo8zFO4jrrRg5aUEsXzcE2th53G1gnrxvg0huBStcUx3Wy9qyxUET0J0tu+FC9VbHAg3H+Sn1UxdyUQ9zFducyp6iCOhOCOaQVqaRvNu4NgXqZrvUrTWUFqcGdJ8BEe4VJHEMH4e62oLjcUeFpoo8+wVIQkhQnI/cfU4us+ApC04bo6K9RjTWWUn4faoElGHfW0jpp5oaZ/7xe3btzl69CjKM429n//85/n5n//5ly6j+Db847kS3QcPHjA8PPw8N+kLp06dYmJigtITn9CdFd0tR6OdWt1m9lueJ2D5MLf2fGpK/WpPFTHlW0rguEVWqtexGsghcuYDUuqBJ6GlEunAK5iuwEL11lNZgeVWqDhZovWmjDyRpPYKhqfRHTiJ1ETSEZCSRNSTjJev0hXoISo3JoUhKU534BhTlXGmK7cYDQ837KIGiCspugMHeVyeYLL8AA+d0XDzpon+4CCdgRTj5TFmq2PEN6YYHukG4JDTwbhYW58bkFQupIYQxCyP9TG81E3eOdJBxIcUQQAu9PbQ3etx2biLNlTk1aHuputtQRFFLgz2IcahMxPkaFfrno0HO5MQ8OjvaFc77+G0FbC7CWW/RHdfa78/KJjtd4S3FJrwBLc2ZokpKhdSA3ywu5vBeIHQaITb//GPAej7zt0d9OOleRwXDoTrV+pkQeR8R4aPdcXoCc4QURVSPqy/9qI9Oz6hjV8+IEYpWHsHCKXQLJHK7s+atx7TqTb+PK0MBrYQlCLkjYtU7YmaDVplZ52oj+LCLrh+kxQfkQg0lzB4Xmve41XrIZnQW3QGjtCh9hCVVDRhA9xxLPs6ce10a9uz60tSivo1AnLzWeHoS6zoLiwsIAgCPT09e9776Ec/im3bfP3rX39px/PtZrTW8NyIrud5FIvF98U8WZZlzp49y7Vr1zDMdawdaWMnTiucfkUh3rH9UZs5LihSN66P6qXfTmLTZyVU9inoB5BEf1XirHGX7uAraHIPC9VbWDVsaEy3iO4UiT4blKEeQVVGmaveo+JkWdLvEJHTROTako1U4DQFR2BR30y1WTen8CjTGzxUc/m+4HGqLkxXt3WyC9VHBEWHweDeB4EkSAyHTpCzqkxXpp6+XnUrzFQfcCB8gFANF4aYHGM0fIAFfYo1YztJqVwpUykv8d19Ifq9GAvi7pu/gMArHYNkgi6Py/extgZIgseieIuTB7Oc667/m51Ipzk+FGLMfcS6tanhyrsV7qgPOHM8Rk+0/kNUAF7p6yHZFeTd3AxZo8pMJc9dY5lzIz3EtOZVssFEnFPDGe7bq3xzdYY5ocCrh3pbkhKcGOpk+GiE9UiesyPtxVz2dURIBduf5Xn/KiXt1XQFIGu0bve0hYrTnkRlWS8QVE1mjDEMTyd6oJPixOa9ruvN4T3LF+wyj0tznIwdRBK2z4mD4Q6+oyvNmUSBinOTRf0hLg5Zc5mqk2MkXPt6rgVZkFtzdtkB3YfN1LOIq3uJCEApPE1kh3wBwHJ1QpKBKm5fSwFRoy+Q4WhkmNPxUcJy64/IlNp8ILusj9HlQ/sKm+4KluPPjgwgp18n1MDDXUD0pc99Frp5l4p5C8OewnmGKJvWHd+e8JrUj+02kMEIDgGpuXwhpr4comuaJg8ePNglWdgJQRD4oR/6If7lv/yXL+V44NvShVbx3Iju0tISiUSCZNKfvuZ5I5FI0NOT4PK1n6Vi3kPYYbL9y/+/JOEwzE7bqPIRmn1sv4TTsP3pknS7cSf/FkTB/1SdIPhv8HE8k6LVOKrUcPMYrk5Y7iEk9xFRT7OoT5Ezd0e15q05TKdEV2DbN1IVo8S0s0xVHmI8U2E23BKrxhhD4eNIT445KqdIa4eZqDxEr1GRLjsFVo1HHI4cRn6yTndgkLDUzYPSg7rpadPVh6giDIU2SbIkSByOHMH0qkxV9nrmHv9zB1gd2+BL//TLFI15PpjZHqQdjGQ4nogzVX1Awa5d/SiygdFxjXeOxOjYIUkYjMV5dTjJtDTJtFG72/yBNUu1Z4U3Dnbv6Z4/nkkz3JfgSnGO+cpukuAJcHljDiHu8Up/7Yd6JhLh3EgP02xwPbc9M2G5Du+uzpLqCXGkp/GA9EhfkkPHYtyy5xgvrrNmlLmmz3DyWJKumD/SeqInzZEjYa7yEBIlXu/vbZk6nuxKkwjJBKTnnlbeFO32uSTUEM4+SiB5qzXP4J3YKS+KHuxEDiqc++//C4Q6hM0DbuXH6Qtm+FC6j7c7RRRpjAX9dk2/XdPVma0+4FDkaMOGrsFgD+fiQwwGqqhClQ4fGtOdkASZvNlaOAWAUqcvQVfXCZjJzQtoB/LWEqdiI5yKpjgY8kgpS+Ddp2hdZ12/ynLlEl3acEvH4MelAWBZf7wnhbMWEmqrKWU2Hi4J5TDpwGm6g6/QEzxNj3aALqWTDsklqAy3tEVV6sFy68ctu16RqM9tanUKJTtRNm8QVuoPqAJyH0obAUOtwvM8rl27xtGjR9EaFBc+85nP8Hu/93u4+5B4+T+o9+nvTzCe29NjbGyMnp4eurv9T8s+T1j2Em7o76LPfQf5jTSZrhF0810AKmX4//5Chf/tV0zevTeDIg0BErXF+AKK2LwqLQpBdLe5ZY6AStXxaeHVAnltJQLRrzOB7mwQUo+xpE/iUp/Em16ZFf0+vcEz6K7NqrnOevV+3eVhUxPXqQ4SkLuYLj9mzZpouLyHx0zlLl1aD5rYzYPSfV/XWskpUHIKHIudZs1Y4nG5foKeGlL4nn//SRI3+vmP//Z3uTt3i0//Pz+NdPAk45XH4PMrXhTvcnA0ilo8iid53NUnyerNb3i6Z3FDeMChoxmslSCuB8GIxK1c8wf8ulll3Zzj9HA32fUqS8USHcEAB7uTXM0vML9Rv2IyW8ozS54Lh/qYmN3YFWIxmkkQ6BS4nVuAGoW4W7kFgjGFCz19XH24RK2wtqNdKaSkyQNjkq2k2JKjc8N5zPGhbko5gekGYS8Axzo7USImj/RJxovQ2xknZHdxZ92/TdXpzgyiajEUjTNdbKORqs2be0INkLPaq+hKgsB6g3jfZijtsPRLnRug953D3P2fvkrgn4aJH61PMGbKy8SVVWyfqYqTlXt0BwYoWRXyTwbyHUqcoVAKw1mgYI2x/ES9YbhlVDHEQHCU2Wrj634LHUoPRdvfsjth1gsREKAaWCGod1EN7iZsrpcnaz6us56L660QlKJUfbrONHL82QnbM3A9GVFQcRvogIOiiNWimsV1K8ADLKe2cMRz1xGFoK+ZSwBN7sVu0pRXNq4QVo5RtvYWFdqB3GCg+bL0uWNjY8Tj8ZqShZ0YHByks7OTa9eu8eqrrzZc9tt4+XhuFd379++TyWSIx/03Bj0vmPY8EyufxXQekR78ZbIL381G6SGKvNlZG0+I/OTPnKdUsvE8A9N+SES7sGc7ohAmrJ6hYnyF8JPUs3pQZX9du6rcjd8npt0CeTVbSEprRfMnCCquz27chepNFo1FKj6bVLLWDOvmOkYLlmZZc5GZ6nTLnMN0K6z7iPpUIwonDp3k2I/1cPhTw/zqF36dR/kHTdd7FhWvSCS1zi19vGU965S9TCG9wri9zq1c/apJLdzKLbGmlvnwkWEqIZN3N2YxfSaoXVmdx417nB3uYaAzxqkTKR7JS9zONa7+Vx2LS4Uphg6FOZBJPH39YGeSU0cTPA5P88CovY3H1SXWAiu8OdRTs0ntUDLJKyMJpuQpHunb1eglI8+EM80b/RniauOGvuPJNKd6EzyyprmemybrbvCB3j4Un7G7iijxRncfQXUzbrdVhJX2mq8AOgMR3DZVyUFJobAjtUtSJQ78Xy4w9JnTzP72Xv/unegNRn2T3C0sG7O4gsHJ2HHOxDoJi7Os6tcoWHsHaqZbIWs85GC4cdpWf2CYw+EDCN4cw6HWyUyuQRW4GJomWhna83rBakzgdCf7JDSi+fmjCAFK5lTT5baQt+ZJabs/p4hETOmkJzDCSOgoKq0PmmJNqsCWs0BUre9n+yz8XDmC4CFh0IxWmD4LPxXrPrFnjlEWY4TkQRKaP9nHfrCwsEChUODoUX+pd9/5nd/Jf/7P//kFH9UTfAtWdGdnZ/noRz/KsWPHOHHiBD/90z/99L2f+Zmf4ciRI5w4cYIvfOELT1//p//0n3Lw4EGOHDnC7//+77f7bTTFcyO69+7dY3BwEHGf3d2twvVMJpY/i2lvapgkpUSq/z+wOv2XcFwNkNDUN9AiUwBcv7JZvaoaV9Dk7a5bVepHFVPoT2J8LWsMVao9rRTSLrBhzRLRXm96fLJPqxQAs4VoTr2FvHq/GmEAoQV/SVkItES4ASotePHCppdmO7Zjks/quOoEcAUHV3U4+dmDdA4nuf0/foXSjD+5yU6ItG8fFhAV3DZLiLpjUxR0yk7rTT8bRpUruTmqiSo3cq11To8X15mQlnnjRA+vHE0xFZ1hzGieamR7Dteq4/T1yBx/oukfSSR4dSTJnDrD/Wr9bdwqTRGOG7ya2VthOZRIcbY3yaQzy+PyNuExXYf3NqYYSUY4nKh/PYqCwGuZPgaSEvcqj7lTmAKpzIV0f911nsWRRIp40OFUsj09c4favpY5E6wtfer+6CFWvjnVUOucCbRnm1d1SnheljXjcVPf7M0QiJuMhkZRdwS9dCidHIkcoVcLU7TGWNbvYLoVlqo3GQkdR/T5mIrJGXS3/j20HJonXNl9T08oaXSnebU/a4wxHGquCe3UeqFJsuKzWKje5kjkJIdDGUYCMj1KliiPEJ1rmNa7uN46gg+noJ2QfQyWysZlQg3kATthOP7uDaY9TkKrXySShCi6PVv3/WchixJJdZS4nCIigOatITiPyVW+6Hsb7aBQKPDw4UPOnz/v26v3E5/4xAslazvxrajRlWWZn/iJn2BsbIyLFy/ycz/3c9y7d4+vfvWrfPGLX+TWrVvcvXuXf/AP/gGwyRl/7dd+jbt37/J7v/d7fP7zn8d5QQmaz5XoHjjg35P1ecGy57Cc3Q/GYPQBWmiahZmjaOrblIzLOE/mWP/339giZjYCNgIqQfU0rpPbJfj3KCML6q7gCFEIoaqvsarfwPWq5I33CCn1s7sV5SRZx0bz6W1Y9elFKKJiOP6JWNX2P23bSt+P1qJXrohCtQUyD21aDLHZSOYHKb2btcA2Kfrz/91/SSAd4dLf+U0mf/1ai3ttXwkUFPcXJlEvntYv9DZI8tZ+F6wctw3/zTJbWDA3GBdmeOdYH8vaPHer/sIBclaFe8YE5/pSdIcijMQ6eLUvzZw3z4NyfbeU6XKWOXOFt/r60J6pJp9L93C4M8j96mPWzO3rpewY3C1OcLYzTXcdIgkwFInzRk+aRWue2/kZpvU53u7tJdiitjjaJN63ETrqVLpDfXEEWaQ8Xf+eEVPaN1Or2o1nAJ7Fkn6flBLmUOQ4I6FuXHeWpeoNyjV6Hhart+gLDKEJ9QcAETnJUOgEQRF6AvXdVzzRxhENZHu7fyOh+C9ErOnXm+p1Q1Lr9oEBMUTJ+AZl6/6Tauduklq1Z4i3WMG0neZkUhBcBE9HaDJAV6QuXy5EWzCtu08b00QCBKReospREtpZEtpZWtEEyYgY1n1sZxGPbXlH2bzDRuWrvrfTCkzT5Nq1a5w7d26PlVgjfOhDH+Ly5ct/am3Genp6OHduc5ATjUY5duwY8/Pz/It/8S/4kR/5kaca562wjS9+8Yt87/d+L5qmMTIywsGDB7l8+fILObbnRnSXl5fp7/df+Xhe2KrkPouOnv+EbSZZWdr8UpUnN/JHD7Yf6JY9RVR7C8O8hcfeSqPljBNRN21TVHkYW+xmw7i+YwmXij2NKj3zuT0VSX2bJWOakjWJI4jIQmNJR0Q9j+IjzQwgIPuvFglIVFsgxa3E/PpJX9uJgNS6rCVQw0XBD/x6r3ZWe1gLbD+o451Jjvz1tzj8f3vrace6X/i1m6sFVdxfmMR+Ah1gsyrcLuT9zOIIYIg6XhttvffLc0TjFssscbfkr0rkeB5Xs1P0xDVOptKcTGY4lYnx2Jhgwaj/ez8szWOJRV5L9+8aQmWCYT7Q202BVe4Vto/Bw+NmbpL+uMLxRGPNvyyInEv18lp3ilnzMW9l+pHb6IQL1mk4EwSB1Ll+1q/V/45koT2nh4gcw2jUQV8HeWuRnP6ArDHZdNlV4xFxJURc2W4SlgWN/uAx+gLDuM4Kq/p1ivYsJXOMwQaV11J4lkh5YMd2Wjjvnup1Y8iCSofSTV/wIKPhYxwKH+FQeIiw2Pp1lAl008xEL2e8R0TxN4UelDJYjr9GPtOZIhZ4peEyAbm157rrFYgrBwkKIWTKuM4shnWXinGVov6HRJTG8pWdcBo8u2bzP9vScfnBVvPZkSNHiMVas2OMRCKEw2FWV3325OwH74N0YXV1lVdfffXpXyOXiampKa5fv87rr7/Ow4cP+drXvsbrr7/Ohz/8Ya5cuQJspswNDGxfi/39/czPtzar6BfPpRmtWCyiaRqJROJ5bK4lmHWmQQTBo2vol1ia+Lt44kle/8BtfvQfx+kf2v2RPSoIDUaYunmJSODjrOqXcL29DwPHK+IJCUTCuJSRpRHKBCnp24S4ai8SVQ7hWNVdo1IAWexAlkdZMe4QlDJoYhKjSTODKnYA/qooATlF1fJPdM0GvrzPQvRpcbYFTYoCrVV0lRb3sQXHh95Z8ATCdoyysv2g3sp1jx3s5MEvfIPxX3mP0e89h+DDksvZD9Hdh+wB8K3LrQVRAGM/RFfY33h5XwUQgbZI8mI1T0wxMCj5bjqsOiZ3ihOc6uxFNz0yUY2xwgy38/UJ8pKeQyTP2z3DXFlextjxOw1GOhiIhFgw5pm2Hj3tGrqVH+doMkNO95gr+yORMUUlrnnM1hmnps4PsPyHjxn6TO3KoNkGWQVIKikMu7lc5VlE5TS6TzIGULCW0MQIQ6GTgMOG8ZCscXPzzR2XnSc4ZI1rDIfPM1Xeq0suhWboWn+dXHyzebbaxGryWehOlpHgcbL6NQSWcW3YKawqegKd2jHWjIe+txkWRZoLwDwsN4tEGKeJZjeqdGO2oBOu6FcIyMPo9tY6EoqURBETSGIYuUE1veaRegIV6+EeC7ItCF6VzR+t8XUrCgH0Bg2JJeM6uerXSAQ/2NLxNcLY2NgTB6fGzWf10N/fz+zs7NOq5YvC+2H3lU6nee+995ouVyqV+OxnP8tP/dRPEYvFsG2bjY0NLl68yJUrV/jc5z7HxMREzcr3i4p0fi4V3fv379Pb2/u+WIuZDYynBVGia/hfsLH4KRxziM98b5gPfHh3o4jrNtd/6m6xJsl9+r49i6YeQFHfZtXOUbL2VpmL1iPC2gm8HXfliHqOqieTNe4AUHWW0aQgslC7AcZDIBU4R8GeIuXTLFsTW6uiVnZ0bTdHa+MkuY34XFFojwCaPirTcTNFXl1/ptNi8zPFj3TxgX/5PSz/0Tgz/8cdX/u09lFVbSVFrua+90F0A/L+xrv7qugC+/GuebkdAZt4XFqgO6ZyMzeB6TZnyS4eN/OTDHdonEp28XpXP690xSiLc9yvPKTg7CUuU+Vlqt4Gb3T11xXhiMC5zhSfGEjQG1vlUfkWZxMjNQcenef6Wb8xj1fjHBWBfI2QBT8ISu1JLaJK6+mChltCRGdVv4ndpO9gTb/KcPjInuvKVPKoVhQ8cTPYwfI/Jb+FsjWBUIdpCIKHbi+2dN91XX9FC8NZIaodabqc7LOZ+CkEm5CcIa4eIConCAoWircAzj0c6wq2fQexBbIbkIewGxRrDHucuHa26XY2vYAbX1+zuZ/xfVzNsLCwQLFY5MiR5t9xPZw6dYpvfOMbz+2YauL9aETzeYu2LIvPfvazfN/3fR+f+cxngE3y/5nPfAZBEHjttdcQRZG1tbWng4ItzM3N0dvbqpWePzw3otvd3f0tR3QVKYMkV8iM/GtWpv8Sn3rb5ou/sXvs7PgwJbd9NFyVzXGW9OsNbWI2jFvEAxdQxCQB9Rwrxl0sd7eHU9meJapmkJ6J7g3Lg0SUUVb061huibz5gGSTm54khFCkNBL+usAlAruiM5uhVXrSFmn12jtFdR8NbKlnZAsA9o4PFeyOcfzvf4SJf38V14e/j7EPD0W/DTf1oNvtV2SD+yS60j4ruvsRXQj72LdfHXdNtFGGXqhuENZcHusPmNGbkxvDtbhTGOeVdCedgW0Jz0A4wif605zLWOTdB4yXH2N5Fh4e9wqP6A910BPYfS+uLBaQw3tJaUhS+EBnLyG5dXcJAJH2JA9yC1aKO1Gs4ehQD2v6TfpDA6S1QfqDRxgJH2c0chgpWmLAGSLAGmmttb6SmNKD6TaeITPcDRJqc69Y2ExR0+vI72ohZ1wjrtbX62pSB5YPfe6zENCx7Ps47irCM810jrvakkODIjX/7LY917TBzo+Ur2i8R776ru9jq4dsNsujR484d+7cvqqKf/Wv/lV+8Rd/8U+lTtfzPH7wB3+QY8eO8cM//MNPX//0pz/NH/zBHwDw8OFDTNOks7OT7/7u7+bXfu3XMAyDyclJHj16xGuvvfZCju25EN2HDx/S09ODvM8HZjuoJ10AkMQEAIq2zsTsv+ELX/gCX//D3SN8y2nuy2k1ubGB/5CJdf0qlhAja9S3+ymYj0hoBxAQEVBJBc5RtBco7PCedbEoWhN0aLWbLzq00yCEma9cokMbQPTRtesnjWYnLLfVBqbWT7daPq1+ULGbSzCSRoZsYLedl/nMDhPHMkSGk8z/Xn0/3i3sh2zi7m/KptpmMxmAts8wBtGnbVd97KOi+2JmunygvR17bXzWh8V5ZLnCx3sH+GhfAE2bZrwyxoZVW26wUF2maG9wOr6dLvjo31ziwPe/iiCJCMDJWJp3MkkORVdYM69RtQ0Ggs1jtJ+F6bY29b+9XuuWWSEpSaUFtxmAnPkYzx2nbF0jZ1xhw7hOMXADodABgkPVXibYQvBArEmk+Rayxj16gs0byDKaf/vJLVTsaboDZ+kPnqE/eJz+wDC9apwuySLGHAF5qKXtAZjWVMP3deOy7+02KvZswXKWmjbYuTVSPGthv1rdfD7PrVu3eO2111pqPquFj3zkIxQKBcbGmj8v9oVvwYruN77xDX7pl36JP/iDP+Ds2bOcPXuW3/md3+EHfuAHmJiY4OTJk3zv934v//bf/lsEQeDEiRN87nOf4/jx43zyk5/k537u55D2GRdfD8+FmW5sbDA8PPw8NtUyLKd+RVd8YmFTLLj81z98nf/55+N8+K2/R7XyiwRDDpLYgdOExHqe7OtmLopxwM/0n0jVbk6uc8ZduoKvk7PmWdmh990JxzMoW3PElRHyTyIdg3IPstjBsr5NpLPGQ5LaYbLGDC61b0Ip7RR5a5Xe4GkWqreaHp8sBBBbGPnKgoYitDbNGZAibTVpdSlpDM9DbyBLURwNV7BxdjSPiIgINXS2B//yBW7+d1+i/784gdCAWVX2QTb308gGUDHb37cqSb51qrUg7acyiv/GwVoQ9jFWF5rLBOuiHcIK7euRS7aOJBeYKPnTw5quxf3iI07Ehrl28SaVuTwX/txrnEhFKduzFOzbzO+4PHS3wnRlnNHwMeaqj5t66oalKD2BPjRyLaruAQQKZuuSgZjShW74c6bZQlLtJ2+O73rNDM8SWX8DAMPNkdQOozuFpvZoAEKd+2ctrOu3iCsD5K36xZiw6LbskisJARzrG3UFCoZ5HVXqw/RpCabJwzhO43AOQXBQxQDNHNA9T6RqN28w3DzOe8hiDPuZWc1NiBimv+0U9HexnA2UFl2AYLO/6Nq1a1y4cIFgsL1+kJ0QRZGTJ08yPj7O8eMvJqJY4Fszkvftt9+uW8n+5V/+5Zqv/9iP/Rg/9mM/9iIPC3hOFd18Pv++NKI5bh6nQRPF1kNwdtqmt1/i9Q895P7Dd5l7+P14noDsIwFNktLUTlB7dmf+NEyqmMDzqaGyPYNKE+se26uguyvElRFSgfOU7Bzrxt7Ag02yO7TH6zUs9xJTj7Goj1Fx1ljSb9IbOt1wnwl1BFlKkTMeMxhs3kGb1kYISjHmqpcYDR/c5aFZDwOhI4gITFWucTw6RFBqfhNSRZVj0cNUnCUEL8vByOG6y6b0btZ3VHMHgoP0BJJU3Ft8NN2DuIO8dZzqRV8r4dq1H4T9wQ4uJDs5liwwGmldvnM80UU8btAVbt2aCCAdDhFU2h8Jq/L+RtGtDHhqoV3SuLnvfe36paNdr2TwJ8d5Fg8Lk4z962/wqc+/SSo8yaJ+k4Jdvyo6Ub5PQumiQ9k7QyUJMkOhgxwMD6F466zq15nXp+kJnm1poBZTurC81mOOpTYGvcEa9oSeaOGJJqK9ec/OGg/pC/qbmq80IK179oOFgIksBAiIITrVHgaCBzgYPsLRyGGOhQdpx9UtrDRulPLQUcUYfmcdVB9SAwDTukdUO99wmaAyglOTuO6F4xWIKkcQUNGkbsLKIWLqGRLaBZKB13Hxd75rUl9bJLdcLvPee+9x/vx5IpH2pDu1MDw8zNTU1HPb3rexfzwXopvL5d4Xfa7eJEZ2awpl8rFN/+Bm8fr+gy9jmOusz/95BKG5Bkj0Gfjg+SyOqy1Mkwk+dWyWW0ST4yxWb+A0mDbKGg9IaSOIKEgESAfOkbeyrBm7IxuXqjfpC9Ygu55IJniOdWOBorWM7Rms6LcZCR2rGdAgCyr9oVOsGlMU7c1q94p+h6QSIK3VDuOIykn6ggeZrTx4Gi4xX71PSoHBUH2bm9HQCElZZbp8BxcH09NZqt7mYHiIqLzXJmaT6C4Rl+McioyyYkywZi7heDZLxnXeTksMhxJ19wcQkQO8merHZZ6ZyiQFZ5qu6G2+ozeD6iPvvj8U50I6w3R1juuFR0QzWT50sLOhC8iu/SsKbw73UlHKELK50N96p/DBVJS+jMMH+vw97Goh2n4QGPD+VXTfD+xHu7dh5fzvx3GZ+/IjvvpXfh3P9ej/ZMT3gGLFWKBoFRkKbfYAZLQ+DkcOk5IhZ9xmVb+P90TH6eEyWb5LKnAMVWhmBSiQ1g4QU3oIy/6kXjthtBg2A+DUSWE0wtNo5e2p+OXqLTqb6HVjSjemz3jfLZTteQ4EA6SlWYLeHbAvY5jfpGy8S8m8Ts64iyZ1t7RNpWldFQz7LlHNXxSt51MiAOBY40gNnpt+JXxP9+0WUajiOfNY1n108xoV4yIl/etEfXoHxwKt6zqr1SpXrlzhlVdeadlGrBkGBgaYm2vdiaQlfAtKF76V8VyeEoVC4YXbaTwLy1llbv1vE1DqTQ8IeE9ucr/zxQrf8cnNiqDjgu79JgIOS1NvN69ENL15b8JvbKck+veFbeWh6Pkcva8b9+kKnkAQY8xXb+HWmbNe1G/SG9q+0YTlLmLaAeYqt/ZEBC9Wb9OldhGVtwcFndowYTnBXOU2z14lJXsJw55hZEccqIDAUOg4hlNhvro3d75oZymY45yIHtzV/NShJDgUHmJJf1CzUrWkP0QTqoyGd+gPPYhZCXo70riUmKnstQJaNeaIKI/5SLobSRA2GxSe/B6SIPBacpC0VmaiPLYrYtnFoehd4YM9BkditW/6cTXAW5k+im52l/dqydZ5YD7krWNBhjvqnyeyKPD6YC9azOPy+jS6Y5O3dK7lZzg1kGQg1nwA1xsN8dFjCYqhWe4Up7hfHeeNwRiDUf/eyEeTEb77qMaKcJnvGg7TE2o91etsKsahhI3apnPDfm5g+2pGaxPtVnQjskrJ9mFC5XrM/v5D/uAv/zqTv3mHk3/7A3z/v/6vkJTWvinTM5gsP+RoZATdfsxy9SaGW59oLlQfgRAjoQ7ueS+mZOgPnSYop1gyJpiu3KTs2KQ0f6lcACIyObP1Jqu8WZtwGOEptPLw9guCg+GsERD3kh5JUIkp3aSaxOrWQkiKU7HG677veJUnvST+fh8BCdfyZ11mmHdRpMbPZQEF0+f2AFxvnYhyDEXsJCgfJKKeIaZdIK69Rlw7j9SiTWKj56Fpr4APN5pY4EJL+zQMg0uXLnH69OkXMhMdi8UoFPxVtdvFt2Iy2rcyngvRLRaLdHe3NirdDxw3z9TKX8K0p54I1p+9GETC6rmn1jKlkseP/f0N3nl9kZtXTdJdEsm+/4AoW6zOfF9Dsuv51JXarr/uYz9NYVtwWsiedz3/veu2Z/tq6liq3qAvdIauwGnKTpX1BubuG+YMolelN3CYgdAp1oxp8lZ9LbKLxap+nZHQKBltkC5tgOnKPcw6FRjYrB7NVW8zHErSpaY5GjmM6+aZrz6quw6A7pZY0e9yODJKUApxWDqOrVWZqt7DbPC7OZ7NsnGDD3RKBGJBrILOiVgPx2IBpit3qTj1iUfRXSAeusbH+9IEpc2bvypKvNnVT0AxuZmbxPZqS1gelxdw4ot8x5FOlGfm5s/1dtOTDvDexjQ5c+/U3r3cMmtCnjeHepFrzOsnAiofO5ZCSC5zpzS5i3g9Ki1gaat8dKi7IfEcjAb5s0fCaJFHTFY2z4mJyiSZ+CIfH+j0dVM5HI/w5w6qSIG7TBnX+ciAzrnOhI81t/FKZyc98RLvDHS1FbCgSe17XbRbmW13vUzA3wDk4S9f4/Gv3eD0D3+Qt3/+03S9NkBUab8VY8P0l1YHULDXWDXW6A6eRhVD9IVOklRH2LBWmK7cpmRv9zrobpEFfZpM8GzT7aa1A/SEjtKhDjRddicSSm9dFxlbW0U20rvG4LqTpUsbZCh0kqHQYfq0HtLK/5+99wyzLC3L/X/vymvnyjlXd3XO090TYQYcECXjiIKgEkQQVECPmD3+VTxHVHEH9AoAAOK3SURBVBQVMIMIxwCIooKAMLG7p3POsbq7cq69V17/D9XVlXZYu6on4dzX1R+69srhXc/7PPdz3zoJMY4UXGTSPkBCKe87V62VrrJMOmfJlKAEzCKudhASLYgKmcIoQUsw1VWEETLE8yGRRQ77Cf0zeO5BHGcPtvMUtrMP1zmIUoa0mlvEDdT2eyNldcvJ6DqOw969e1m/fv0zVoVOJpNMTZXPXI+M5yKb+wIPdO9IM5pt29TVLb/0WQ6CIMflgbdjuTNdjY53hZi+m6y9B5gR/I9pG8k5M8LGMX0XH/j5x5gYC1izXqWySkY3BHF9N2r9lxm6uZvBK2+npu0zCLE0WIxqrepE5CWVM7copRU5H+UExaUsH+dj2D7HpBetAcMOJknici1PhrQQBu2TVGgbuVYiWJ2PIfsaTeYaLk9H07edxY3cKdrNNTg3Xfr1y2UcYy+JapXNJBhyop8bImQ8OMCu+hpCfw3XcgMcHS9Ot5mFE3gcz51l86pqcmMpwlAhUD2OTJTOajmBz76RK7TVVaC5GqeHRjBkmbu7K7jkXOXYVH+RdT2OTp6np6ESnCTHBueCkxpD5942gyvWWS7mlgbpOd/mqn+Sl7Y1cHMiwanRpfz55rjJzgaJa7kzXM3NvW+DziBCHeL1nWv4794cY0Wa63rSGRpTPhenzzFya66xq7GO4ek4p8fGSl4fVQjubaxl2OulW00wlFW4NFmeYUJaU5CFhF/GBBOWn9HNaBpTJeKRkeN9XPqnY7zkL96EWTvHOVTE8joN00oayy/P3tcPXS5PnyIpx7maLawsAzMT1yvZ4zSbGxm1zuDPa/RKKjWktXrG3esMOzNjgyRUGswN3MxFe+/jSiXThVR5xFyw6xlzTcSq5DNsHVi46K05lBfmiEt1SMhLqlqFoEtepPa1UfsocaWNbAmpsZicppxHznKPkNDvYto+hiZXokhpZBFDEipChEjCxC3z8ZCK9FgETJDU7mbUKm0soEiZooYQAPbtrG7+661K1ZhqZ8l9wYzG6759+1i9ejU1NeVTZ6IikUg8s4HuiygbdyTQDYKAeHx5Vq3lIAw9rgy9k6yz8CWynKPIUg1BMI6prSXnHLz9m20fZ9fdbXi3XXgk4tpd5OwZ7b3G1kvcuFrDwOUfo7b9rxcEu4a2CzcYRRJaSckUO6LDTtQBEsApg5PmRDC+mEP07NeMzW90CaHlNIyUYzs8i2UbLAhBhdXAmarytBdjVTpD/f0oLeWX57PBIAm5jX6rfPepa7khKhI5zg1IROzNuI0rU6MI4Ht6OrjmXeJ4Nvpk4kZuBMEoL21v58zANHc16fR557mQK125uJ67iaRKvKp9Nd+5Ns6071Opa7y02eC6fYYrufxf1pCQy7lTbK5LIvwOvn1j4XPXEk/QU6lyfvoSF6cXBozXrX4kWeLh1m4euz5GroDT2911tbjSIBdzM85Y4+4UipB5SUMXT/b345bQQl6fqaQyZnExe5AtVU0MZDWuZaPxNiUEjbE4oUhxI1deadMs0TDoTtkc+N/fYPOHX7IgyIWZpp/loErPMGqXF+gCJJVqrCC63m1v7hSVWjMKDgklgxtmGbYvMZ1bOCELQpebueM0mptvKcPknzTE5AzVenNJfWc7NsPTnR/olmqkGncvU2du5WbucKRzsyNq5AahS4CEQCWk8CRPCofLtYNARaCLHATX8YPri9YXmOoacu7pyNsrJukJYNv70ZXmko55htrBlJ1fUej2vvxekvp2Ju0DeX9PGtF4yLNBbkdHxzNefY7H40xOls8nLwsv8Azrs407Ql3QNA1pxe5IpWF7F5myvrPk70GYRVPaMNXVWM7hBb+FTKNKlYBACIOYtpmcs+f275ZziKbWCYz4RfovvZMwUCBU0LXdTNpPY7mnqdIKKwuEoYyp3UtKi8Y38yIGpGEosIv4fC+G5UV/scrJKqlSeYGdtIy5UzH6QCEstwlJBDJKoOEo5UWN8WqDsYHl86685QoCA6q0/PloCFhkGXbKzzCEhBybuMT2ZoNL9glyfvT7FBBwIXuaTQ053tRVy9ra61yxTuBFsGae8CYZD4/y2k6dpliMat3g4dYaNOMG56YvFmyqCgg4O32W9bUO22sWKqpsrqri3iad6+4ZBuyFgakX+pyeOsv6KpU1mfw6qa3xJA81VTDFBa5mZ2Sb+uzrCPkad9e0lAyq1qXr2Vqj02sfRFMGuKemKfJ0c00qTbVuE8+jPDJxaYQznznAEx/4CrU7W2h4oGPJMlm/cAa/GExpea5nqWW4no04vSTUKvqs4wzbFyn2Jb+RO0Kd0YMyzwhHEgqNZg/NRhdhMMxA7hA3swdoKKKmYMevok/PcYploTKRx9VyMQasw1TphRVdZpFR63GKlOYXY9q9Qkrfevv/AgVdriOpraZS30SNsZ1wGXbLFDX1CCG0iMKFBVDlZly/hDSccCNpE4uI+7S9fgodXzoCbSGXy/Hkk0/S2dlJU1P+Jug7iYsXL9LSUh7NplyIMHzW/72QseKMbhiGz5pRhOcX1qn1g2G8AmUQ2z1BXL8f3x/AmpftnUXOOUBtYweDNz36L72XxlXfZsred/v3rLOfKuNuhheVYxSpmkBqZMjaj0AnqXYxWaTxIK60IUW0wdWkFNMRXcoEElYZXvXl0BwUqdyW+vIDULsI17UQlitJpWeTTOjl253Gqw1G+8epZnnZAHcFga4mKVCGfudirFT+ayWdCCPOGM2xOFZQHg8Q4GruIq0VJiO2zpmp6JnFIWcMGOPhti76piSqYg4Xps8zWmJuc9MaQmKYlzZ2s7d/mJzvUqnpbKtJcyl7ngvTS3NpPh5XreNsqmxg1DK5PL0wC90cq6AlIbhhn2T61i20A4dL2VPsrmnl0qRPn5V/klqtG9xbq3HTOs51K6QlXoEfNHPulpbuyLE+9n7kP2h+eDVr3rmT2p1LP65pNYkTlKc9O4twmc/ccidmVhlmEP3WaTJaC5rQMWWdMfsiI9ZSSsOwdYa00si4tzQ4C9QpJN+EQAbJp0prYdqNIvQfYvmDaCKJExZOMFSoleTKvITj9ikatQYIhgmDmarK/BSsqe9kwi5NC5iFQMMq0WzmeJdI6LuZsveW3J4mN+H6pYNtxz1EXN1U9HqWyvje3pbfS1Lbie1fR5GSSCKGJBRAoCtLmx/nY3JykgMHDrBx40aqqsqfgC0H+/fvZ3R0lJs3b9LQUL4STiS8sOPOZx0rTsNms1liy+i2Xg68IvQAuZQ6QpjD8Zbqy87AJQymqGkcJVZxjmtnHyDwF2YzLHsvaW1O4cFQN5ALVCadmW2G2Pj+IGYBqZhKfTtTXj8T9ilSWmkHIlOpJ7IOopSKJHY+C7eMoGOx7m4pRFWfmI9cBIvlJftZ5gxTn04yakQvq86iqitN//nCzXW9T/Vy/O+OF2w2coJyC45zWElGF+Y4hstef4WjajnP5mJ4gYsVLC/gOjt1gaakx4Xp6A1VASGnJs/RmQl4ZXMztckxzk2fKdg4OIsB5yaBdIV7alpQhExaNbm3tgFVvcQNe6mKCMDl7FVMdYi7qxdmmTQh8b2NVazJXOOGdfz2pC7rj2IHx9lR0Uru0gT7fuk/2fYrL2PjB+6l/p42JGVuOK/RM9xd2cLm1DAbU93LspjOFtHbLQbbL796oEkG4040g4NZjDnXIMzSnzuMXYBy4Ic2QoQFbdCd2HW03Mz1N+Xo3zHLHyGj58/amXKKKq0JVZRfqUprHeCfhXAYkWeCmbP3EVOj2/Ga6mrCCJrFtnMURSqtnBRV2xZAETkKfcM0uRHHL2McFuD418m6p5lyDjJh72PC3kvf5GcLrjIyMsL+/fvZtm3bsxbkAvzcz/0clZWVvP71rydYgS38i7hzWHGgOzk5SbIMSaKVwAsKZ+KEKC62L0TxMokX3CBAwqz4GvGKfQxdfA++N5/rFhB6lzCkJkztHobtC0s0Fd1gFFmAOq/rVJMqSGkbGLQOEYQOATaWe4OEWmgmKqgytjPhXqXW2FL0mG/vQ47e5QoU7ETOfzjlcWH9EgHBYqjCJIhQzl6yn2VaeWnZBONG+aXcujUZBk7nD3TdnMuTv/0kZ754hgOfOJA32LVXEOgqZd6DxVi5qcLKAt0V6eSu8NyX2/w15IzhMUnOjz4p9PG5Yh1nV02KuvgIvfaJkhM/K7C5nDvFPbUV1Ohx7qmp5iUN0wy5h7Dz0ZxEyIBzhBMf+xb3vf9h6nbNjSOGpLM108pLq006zCME4WPYwQ1u5g6zKlFBlRq9yzytpJj2olOn5h0gE275vN4qtbHsCZEmxZgoIB82H5PudeqM/NQyOzZHX3CDsbL2P2yfoCtxF6tiXXSZ9bTpJg1KlrS4hhqcJAynKNcq2ozwsobBIBLRKoNyRCOjIMxiKKXK+qWzw/PheueoNO8jpe8go+8ko+8grW0ipXahS0ZZTdFOgabIsdyjZPM0CPf19XHs2DF27959x3VyS6Gnp4e/+Iu/QJIk/vIv//IZ2ceL8mLl4Y4Eus/Wg+QV4TuV/iCWHkD8W5nFeOV+UnVfZ/DCe3Fyc6UHP5xAU5oZsg5AgUHZ9q4TV6qRhEZaW48fSozaJxeeRziF50/cytrOwZBrSKk9DOQO4Yc2w9ZBao2tFENCaUaEOlV6T8nzm4Xll8E1LTNI8YLyrGg1aXmONOXuB0D2NUKCBba/UVHVliE7ksOeXJqlOfPFM9RuquX7//r7ubn/Jl/98a/y6K8+ijU2FyTZBZqjomClge5KM7orDXRXktGVSnBfS+G5ME6zw2nsMhRTAC5NX2F9RYjLQcbc4tQaN+cxcHaQnlcYbK9oZ3WiiQeqq9mavowmHiXnn1qSDRy2r6BLg6xJFO5QV4TCmkQ7m5J1xKXrVGvVpPM4pBVDRq3FWYbrmamU7wqYUZtBRJtA9ltHqTeWaq47sV60XPOtoPly2cdgO0eYdA4y7Z7B9vsWNJJNOmepiNgsNQvJL90w6vk3SegbI23PjWgDDJBzDhJTC2/XUHpua9NHRej34Th7sJwnsZw92O5BHO8MrneWlL4l0jZUqRa7YANcyI2JhcHklStXuHDhAnffffcdsfVdDiRJ4k//9E/55V/+ZaanyzV5LoEX5cXKxooD3YmJiWcvo1uEo1vqgxZG0GSZ33FrpE5T1fa3jFz9EXLj62//PYhwyaads1Tr2xmxT+EE+bMiTjCCCH10eSbLUqlvwfJzjC6anc4Eu9uWrC+QqTa2M+UNMOaeZ8o5R7W+puSxVesbSCjRzT3KzdDmzUIVQbnNbrNYTgNb2qoja44ta3+mGqeyu5KRM0vLuc6kQ0VXBXpa55WffCXb37cdPa3zXx/4L5ypmbK75ZcfmM9CWmGg+1wGqrBS57OV2gs/+1gufzyKVJk96fDVDz5G54NNyKZg0DlEnX4c299PULTpaEaZZcg+yoZk6wJL7VazkS3pNpr0HOPOEQbts4QEjLlXCIJRWmKlxxUAQ05QqzfmdUksBb/McQNAk8vrHxhzLtJibqA9tp6O2BrazE4aYxkUITD8LBUlnNEWI6W2FK0yAoxZh4kpbZG2F1dbIYhWbcrZezHV4vdFjcinnY8wnCSp7ySl7yKlbSehriOmtKCLBCIcQpShAy+JFLkiGWDPO48Qpe+hUbD6OYPBqX/B8QcJw5AzZ87Q39/P7t270bTlNVPeKWzZsoXGxkZOnYrC+34RzyReWBndoDBHNywZkJUOjPxFDV2q0U9N1yeYHHyQyYEHCcNCedylKCVHBmD5/WgiRlrbyKB1FL9AJmTYOrAg2E2qbcSVFgZyh26X/UNcJp2zVOv5FSJMuYpKfR0D9kl8f5gKrfTgK5DKSugKJNwyA1CliCZjMZQbUAOkrQYmzOU15miSQdWaKoZPL30GFVPBzc0Esqqp0rCjgZ0f3EnNxhq+8bPfwM255PwVNJOt8DVdbuB1p9YvR1JvMUqpGZTEcxDpLvd6lTKTmLgxzT/92DeoaE/x8t/Ydfvv5Urt9VknqdN8tqZ7WB03cP1T9OeO4uThyrthjkHrGO2xNSh5zHMkodBkrqI91oXOODdzT1Gn1S1wSYyCCbdEJ38euN5YWcsHoc+EfYQRaz/D1iFG7RNMulfwYheRsy1Y7iBaHme0QkgqFSWXmcnwCqL0fSeUcnikISKYQBTgHoPAKNGolQ+ylMay95CznyLnPI3tHsf1rhCEE3j+dZJa8QrjfBjqKgrp3wL4wSApLY/V/CKEJcaPEIeb45/l6NGjWJbFXXfdhSyvNDlwZ9Dd3c358/k5+ivBi9SF8vBdk9Et1SEclAiMBKm8+oWykqWm609x7TpGr/0Qvh/tjkf92Fn+ICN2cWF1mA12t1NjbGfCuc6Eu7TBZibYPb0o2BXUmluwA4she0Yr0Qknsb2bVOqFy5gZrZUKtYkp9zy1Bfht85FU66jSW0gqCmk1Wsa4zujCD0ZZnVgdOW+nCIWu+FqazXrkMjOdlW4TifTygq6UkqZmTQ3DZ5YGupIkEXoL77cQgl0f2oWe1jn1hVPkVpDRXXkBfoWBbpmmCEvXX0lG97kL8pedTV7mLotd5f4Tw/zTj32D9W/o4iX/azuSPHddlpPxn/JGmHDOMulGyyD2Wceo1NJU3HL6qtab6YyvpVKRmHCOMWyfILg1fo44V5DCLI1G6abbaq2B1fE1JMqkSChCZ8ItzxK4QmvL+53wY5eRp9uwg2HSanT5KSkci7Rc1rtMRQkKGoAWltf85/q9pI3dpPVdpPUdZLSNpJVOUnIlCULkoJ9yP/Glmo9t9xiKiDqJKf3+uO7ZEkpEglwRJSOAwDc4dcRD02U2bdo0Y9f+PMHWrVt5/PHH7/yGX6QulIUXVka3CEc3CIrzYPwSDViyXPgchAioaP4CqnmD4XP3E3qly+1RG6zUMjiqOa+f/tyhoqXkEI9J5zQ1xjqSahNprYu+3NElLmtemCXnXKV6kd+8IgwazU1MOlcZd6/ghdNM2adoiRXu9G0yN2J7I4w4lxh3eyEcocUsHByrwqTVXM+QdZ4Jt5/+3BG64y3E5OLXosFoo0pN05s9Rm/2KE1GBTV66aA6oSRZZ/TgiHEGnINsSDaTUKIZnJhynJ7EasadE9y9vYaJs2NLlskOZTGrlw7WQhIYsk5PdzOvbEyTUcunaWTUGClNolJffhlupc1oK6curISju1LqwrM/Qt/pjO6lR6/zlfc/yks/sp0tP7yUi7+chj1DSpD1x8paZ8K9geP10WTUYnvnGbQOFVQ7sIMpRuwzdMTWL5kwxOQkXfG1tBrVuP5F+q1DTNoXaTSj8U4BKrTmosYK+WDI+atHQawXKdsMwIh9glpjc8ltycLALqMxa9Q6QEItrL2rSZWE7smCvxeCFIwSOE8QOHvw3UME/lnCYAAhPHzvLAm9HI6whO0W5wgH4RQxLQrFQyLrlM5kBuEwSa3wfTeV7qImHl6ukfEL70OveIJUw1NMWE8xOPUlbox/kssjv8GFoZ9f8UR9JXjkkUf4x3/8Rzxv+T0aefFioFsWXlAZXU1pLvhbUETPEMAv0VErRPEgSwhI1nwHvfYw7qUfJ7CKB1heRLcvuQyOqlxCWWIWIR6T9nkm3UFGncIWiz4WU855am41stUYazClGP25wyzIL4kZW8wWswd5XvkyJldQZ6zipnUEbx41xA2yDNsn6IyvXVJ2bzBWYcoG1xfZeA5YZ0nLHs3G0nKbIcXoiq9mxL7I2LwM1IhzHdfvZ3WiJ2/uQCDoSawiJk0xOTpJ1pwpj/ZZp6lQcqyKLxXXn79ud7yHlGzTZx0BEaC35pjon2CLWoM6j4c43T9NvHZh4ByX42xMdzJw7iZGl0UuPMD26svsrGosuM/50CSFHVXtyHKWwxMnaKqe4P7m6tIrzkNHMsP9LSluuhfZUdW2LBrApkw97YkQc5kSZxJiRc1wK83orpTjuxwsN9DNpxDRf2KYb/z6Pl79Rw/Q+dJC41/51yijLc8CNaak81aT8iPkZu4ITUYbCamCVnMVXbF2NIYZsg4yPi8jGwqfQeswTeZ6ZFE4q5hU62iJbUBhmgotmvXrLNxC8pSSB5IDtxIYo9ZJEkrx97RSay9ZRVyIgCC0qTO30WBuodFYS6PRSoOWpl7xqJSuYEQ0HZqFEDpuieA4dI4jS9HGDUNdTRDm7ymZj5y9H10pPHbObSuatrvrnkQqIA+qyoXpHNbIDiavPUKy9TPomWOMZr/OqYEf5sLwz3J17KP0Tf41g9P/wFgek6lnC93d3bS1tfHNb37zOTuGF/ECkxdrqPgN8h1yTN+JVuTFE8IgpHgnsIho5CAlz6C0/APetUfwJwvP0L2I3alKxP0CyGWYNyiSQRBBgivAZcI+Q0tsOyPWSbJFsubD9lFqtCriSiX1xlpCHAbtQtrE0Jc7QpPZRFxOo4k4LeY6BqyzTBfQ58z6o0y55+hJ9CDdClDaYqsxJUFv9iT5ppVe6HAjd5SueAsJee45bDSaaI9V0WcdxQ6yxHONTJtzPMCcP8Goc4yNqbYFjTkADUYLbWY1g/ZhrGBuAiUrEg1rUhw6+BjrUyFd8ToApgemidfNDNSykFmX6iajTXHTOkqy3mSqfyab7jGBqT3K9zYZ1Or53xmBYFOmhXpT5dTk2dsashPeNFfdM7ysM05zovjkqNqI8dKWGkT8Ir3uRezA5tz0GVanU3QkogU4nYlqHm40SBhP0WsdYHXKYVOmPPHzNckmdlVBpXqDtcn2staFWZpKJasTyxddXwltYtn7XG6gu+hYp/qzfPVDj/PQr9xF/YbCH/yoDlPzoS+zCTRVhkTZLIbs8zSYdYw7RxmyTxXlXA5YR6nUGojJc/vRpBhN5gYa9BYC/yoj1gEm3CtMuVeoK+J8Nh+alGCqiKqCH7uKnJ2ZZAfYKEIuWMaXhIaxDKtzXU4i3O8Quo8RePsIvBOEQS+z3t5OMFVSJnM+DHUNUPw7EzI50+QWAbLIRNyzj1riuyVF3hYE4RiVxg4yxnbS+gaSagcxuRJNSOQ7vzCQmex9E87kGjJdf4piDAICq4Bh1MDk5yMfyzOBt7zlLXzyk5/EtstvoM4HwYsc3XJxRzK6zxZ1wdTWU5l464K/GeoG2mv+hsbK3ysYrJrqBhS5rvjG8zRa5IMbTCAZA6gdf4U/dB9e/8sJw6WX0Ysomi4i7hdAlGFkp5TxIQuFR86L1qQ14V4mo2YYsE9gB8Wz6ADD9gVMKUCXVG7kSnORQwL6cofpiDXQZnbQlztJ1i+dGeizzmPKNl3xVaxNdpH1LjLizGWMDLuGnLGU430zd4JazaMj1kpCSbE60c20e47RAlmrli0VXDs8yrjbTxie4u7KZkQAnu3RGW+jPWYyYB/GvkWlqepMMXxp4XXKBsfZUHma+2obbwf0AN3JOnrSFVzIXmDYzX/O56evEkv28fL2GuRFyUpTUXlJcwNVFX1ccU8toRzcsPoY9a6zs7oFU87/3NUZKR5uzFAf389UMNctPO6NMuEd576aKqq04rSP1lgt91Un0OW9ZP1r2MEoTvA02zPVVGmlG3gEgnXJNjYkXbL+E1TrT/BgTQ0JJfqksEpLcW91LZX6We6qjK4yMosK1aDBfHY5uvMD5MAP+OqHHmfzm1fT9WDhShaAWFbD3vK46stRVACwipj9LMaYcwkJl+bYZlrMNRhkGbMPMOEuLIUHuAxZR2kwt1CKD1qhtYAoXML241eQp9tu/3/SvUJTbCvN5kaazTU0G+00aFXUKoIKaQSFMcIyqwWGVPw+Of519DKaveSI3w7PeRqzCD1gFuVIkdnuceILGslkVKkaQ+kkpm7EK1OT2PIuMm3vI+scwfLO4waDhLhk7cNo8jyJTyfD2IX3ouj9JFv/DiHPJAIMpb1gs/pY7ls43vJssO8E3va2t3Hjxg1+8Rd/kS9/+cvkcuU3Ui/Ac0Fb+J8e6D6bGV2AuvTPIUszH0td6aKj9nPIUgpd7aAu85Ely8e0HbjOfjQpQ7HOV0WKcg46/i2uq1CyqO1/DcLHvfQOQiezYMli1pDzIZXx4SiHiyeVkRmA6BloKL+c7Ic2Wb90SWw+xpxe+qzSmpLzkfMnkchxI3d8QZCneDF8ySr4oZv2Rpl0T1KlQr91LK8j0SxaNldw7fBMRjokoM86zL2v72LoazeY8E4w7i10+6nqSDJ8cSnHzCeHLD/Kw02C9ekGtlY2ctO+xrVcabcgO3A5lzvN3W0KayvTyEJwd30Dq+qmuOodwylCmwkJODN1jrqYYENmrvEmqRi8rKGWVZmTTAWHCk7he3NnqTYG2V3VtOQpqNYz3FtdQ4V6iEnv9JJ1x9xTVKmX2ZLuKEij6Ig3sT1jEoR7seZJLdnBXrZlrrOtonjQF5N17q5qptG8yJh7hCl/FCs4zMP1SWr00pM/Tci8vK6WNanrDNpP8GCtSaMRfXyr0SvoSmhsr2gvu1lSExrKrbL9qa9cQtFltr29tLTXcugdZWlpz4NbohciHxRhMFGm65kdjEEwwYh9BL+EYs6AdZA6Yw1KnjFPIGHIFWhS8aAwMK8j5RY2oinhEDnnKXLOfnLucRz/Cv6tcX3COUWFvr2MMxIzjmclMGnvQ1OjaKILAjd6N78cDBWV8lLlZjw/uoMggIJBTGnDkNKoeBAM4Hvncd0j6GWoVyhyI7Z3Oe9vQviYtxoEncnVjF96J4nGf8WseWwBJUpTCleqQjwGpv4h8vHcaVRUVPCZz3yGT3/607zvfe+jo6ODX//1X3/Ojud/Il5QzWgAilxBXfrnUeUm2ms/jzKPw1OZ+HFi+u7b/4/rO3Gd/QgR4HmnSOQdmDRMbRtZ6xuk9LuK7ltXOhYEkEKEKLX/jVL3ddwrP4J/S29XFiZBGLVRopxbED2DIEfQJ5yPsmyBy8zqLEdCTF2m7Fi+DvRYrpGsWdqtyYkgWdayuZJrR0YZuDA3kel5VZqT3z7L9PDSa1jVmWLofOGMdC44S3PC4+zU5ZL7XoxruX4s9TIv70zSxzEm/WiTK4BRd5xr1gW2VTXw0rpmttX0kgv33u6cLwY7yNFnH2VHlUl7vIqEYnJPVRPN5mmmvMJBMoCPw6S3jw0pjdbYXKamTq/mropqdHGAqQIlSC8cw5Ae5aHaGHXGwsywLCR2VLSyJjXChPf0kvO4aZ2hLX6dl9TUFXyL7qmq5Z6aKUacA9i3pLb6rYvU6Jd5SU3Dguz7Ypiyzs7KViq1i4y4xxlxDrAxpdFslqgkAapQ2VnZSoV6jBbTpNKvYe+fHeO+D20t2UHeGmulSksilVHtkZAZj6i2sBjLcT2r0JoiGzvMQiCXZeAwZJ+gWm+nyVxPg9FFrd5AhWISEzZy2IfnDxaneEg+SPZtnq6EzHSJQHLMOYFRpG9kPhJqB2EJzd0ZhHihU1KvVldXE4TRs+SB30tC2wLIKLOZV20jSX0HKX0XsSKNcgW3iY3rXcIPRlmc8rOdg2hSff4VF0FT8lspzyJrHcUa+H6yAy8j0/lJ1PjlJcsslgZdjIGpLzynTWk9PT3s2bOH06dP81//9V984hOf4OLFwv0zpfAidaE8vKCa0WZRmXgLnXX/jLaoYUAIQVPlxxDCJK7vwrH3IuZl8Wx7D8a8Eo4kUuhqNznn4MzvzgFiagEdWm0L014v1Xr7kgFTil9B7fxzgvFNuNdfhyYaWLkk1FKUwzeUijR05IObR0OzyNbL2rZSZtC93HWAvFm0WK5hAT+3ENygdHNJolrnVR/ZwN++Yw/XT4zNbD+tsfG1HTz5Z0sbQxo3VzF0boLpkcITiSBc/rMSEGCHy3feuTB9iZh2GjdiBWI+BuxeJHGezelJpv29hGXYMk9511A5xl0VreysaKZCOcmke7z0ioDlH2dV/Bj3VDWhCJn1qWa2VwTkgr0FVQBgJkAfcQ/xUJ1KRyx9++9rkxW8ol7GCg4w4S6l8Lihw6B9kPtqZDrjCwNsCcHmTBvdiUlG3f0LAuxxrxdNnGFHRduC5sX5WJdqZVtmGsd/kgCHSfcG3/6Lr7H+3lU0ri9MuUgqKbalGkmwhzH7KZqNytvSX8VQrbfQYmRoNpowy7QOT6t1ebV2S0GXl6E2orXgl+CfLoYmyYzZB5lwTjLtXsYJxm5XcSbcS9SUUFOY4enOBF1VentBXfNZBKF9K/FROnMfVzJRTgEA27uCUSJbrErRtzcLKchiCBcl7Af/HIF7GNfZi+M8iW1/s2SD2XwIYWA5hY0QQhxiEaXaiikiBZ7JyKW3ItNAuvNTSOrSZWWRIJfHBng+HP/6c9qUBrB+/XqSySQbN27k9a9/PX/zN3+D4yxTX/1F6kJZeMFldGGGk1ZIgUFT26lLfxDXeWpJCVqIELxryFI1ilSHLFdgL+hadSG4vmQmGtN3M+4cJSCL4x6kxljKdxKyhdLyeWJJj8mz309teF+kcylHeqmUcPaiA4q+aCjjh9GJ8uWWSqNyyeZDKVFqLIylQaNp12Dl4ecuhhfxGmx+dTOv/tWNfO69+xi9ngUEu9/dw9lvXmdwUfZWNRU676/n7NcLOxQFKxxE/BU2XJX1XC1CQIBXotGzIETIpHucCXd/Uf5k/v06wGO8ujEF4mmm/eiZxgH7Cmn9HA/X1/OqhiQx5RiD9uWS6w3Z14jJZ3iotg5dUuiMN7CtwiDrP41VgJMYCp9h5yDrUhJt8zLY9UYV91am0MST2MHAgnXOPd7PxjclaTPi1BsLJ/MSEuuTXbTr17C8/bf/PuldQgqu0h5fR753QJNMuuI94J1m2rvMmHOChGTREEEjG0CXElTrzWVXcwCCMu2QgbKDcKCkPe2gdZiMVjhz6cevImfbbu0/Gh98yr1IxihNYZCD8gwxJuz9xLStxNS1JPRtpPSdZIxdZIy7yOibUZchZSIkjcIRS1BWFc1Q11KqES7nHECXi2drJZEi6+ZvaLYm1jJ0/v2YlXtI1n++YDO2qXZHqhgMT/9LyWWeLbzvfe/jc5/7HNu2bWNoqHwToxczuuXhBZnRLQVRJGAJwhEMpZmQANe7suR3PxhFlw0kYSCEgaFtZ8zet2AZx32Smjy2vFXmdkTq39BbPsfwpdVkJl5fZCYkUWNsI/T7MKRoncx+ZDpEecGoJkfTlJ1FuV3lxeSCCq+zvEB3calX9gwCySEsEUgpQivrvNY8VM9db27nGx8/jSJU9JTG3e9ey3d+/+jSZb+3hdP/WVjcPlhh9t8r06Z5Mcq1eV6MlZQEV25vvDx9Sj/0sPyr9Fkny7rvAT591mEerE0iS0cYzzOG5MOEdxOJE+yoaGN3ZTMN+gmm/fzSUJMDFul6kwnvOr53gbXJ1chCpslsYnNSI/Qfw8+TxQ9wGLefpt1sJDnPZavZXEWNGjJuL5xQOMEoWfcIHfG1+V3PUGgwV9Ma60YT4/TnnqBaqyOplqZjzEEw6ZRnQwsQlMimLt2LxIRT/F6EBNj+CKrI/70KzOtI2ZkspOdHp3aMWoeJq4XNMXS5msAvr98AfFTGEf4JQnc/vrsH13kK19mL6x7CdY8ji+hOaiEKToGAchaOe4K4tiXiFqO8tz5GCYe8fO5pga8zdu0HyQ7fQ1XXn2FmjuGH4yS1OYUNgYIq12Cq3ZHViAylPdJyzwa2bNnC+fPn+Z7v+R7e8573PNeH812PFQe6tm2j68srMz9TKDVIhmEWvwhfyvEukNQ3IMvNTDiH8i/jPEHlrVKYLOJU6huZsveB8JGNAWKdnyI7PY1x/T3gLcwO6HIllfoqxu2nyfnXSCgyRolSVI2xBUNSItt9lhOKylL0bvaZbZcX6C4nC7Tc7u7FIWPMaiBrlM725fvQl8K9b+/k6oERrh+dKZdvflMn49enufTEwoay9rvrGbk8yfiN/BQDf4UpXT9YWaAarDDQXcn60gotflfkJ7GClaNz8OfvL2TUOYzl7ylI8/C9gOlRh0TVzJg6oy97kM2pZlLsx/ZL8/rG3bMYYpiO+Aa6Yu1Y7kHsIq6SI9YBarQEldpMkFeltdIWW0dGlZh0jjJiH2fWnGHcvUwQDNNorit6DBIK9WYPrWY3VUZ7yWOejyhB62JUaK14ESg8OX+IVCH7c8kD4RGjnmzECQzMNDsFhNQY26gzt9JgbKTBWEWD3kS9mqJCTJRW/VkEXWrA8wpzhMNwAk2NTjXQ1HWRdG2D4GbRprUZqFhO8aB5FpZzCEMtrHe8WDvanuxm6PxPo8UvUtH+l8jqHKVKYJNU2ohJKTQc5OAmoXcaOWIjdcZ8MNJyzxaEEPzO7/wOR48e5etf/3p5K79IXSgLKw50n48oFeiKEjaHAIE/TLZAUwzM0CAC5wBVxl2YcpIp5/DC3yUPo+krSJmvoV75SZicmfFn9HXIuEw5c9mcnNdLQlHR8wS7mpShyljLiH2QEfsQtUZXSf5tQm1GEVJknm6+buViCMp0ylqOzudyguN8iOUayJqllQyWQ5XQYgoPvb+Hr/6fI4RhiKxK7HrHGg7/40LLSlmVqO3JMHIpPw92pdQDbwXUg5n9r8y1J1xBoLtiQ4cVXLrnwii0lMvc9IiDmVKR1YVDcxA6RdVAFsMLp1HCIcadY5GWz3q9BP5lWswWbP8sw/ZBnAJ8Zy/MMWwfodlcu2TsqNRaaY2to0KVmHYOM+ocZdg6RKO5PjLvvkbvxCszoxsr4my5GMP28SV8XQkZU86gJsdIO1vK2jfMUDuE+yih8xi++xS+ewjfO0MQ3CAIR1Ck8gLduFa6yc1x96MvkPgqjKgqPL5/81bTWmEY6lpConL6QzRhosoNmGoPcW0LSf0uUsYuUsZdt42cgkBlvPcNTA28nKqOTxOrfHrJPFQWMq5/gSAcWdB7k3OOopawJVal6kVyaM8PGIbBT/zET/CVr3wl+kohiDB81v+9kLHiQPf55Cs9i7DUIBkhiIqkbyscVOHiFNEfVFKn0Nv/BGPiIYwb72Jq+lJejcGc10tK0dClOW5apb4WWQSM2XP6s2POCWr0trylfYGg1tyK5fcxbO2hVm8paUghkEkotRhypvT53kJUe+Pb+1hG1m65jliLy+gxq46sUboMuRx6BcDm1zTjOwFnvzHzDKx6sImbR0e4+NjCLLI97aIY+QN+f4VjiLfCjO5KqQvlTnzmY6XOZysLV59/Y1esQsN3A6aGFtOvyr/G5d6XEBcvgjb2LAbto6TVJLXGKlpiG6jXq3D9M4zaB3AWdcEPWUdIKxUk1fwNc5pk0hpbQ6vZiOMdoSW2rqx30i3ShJgPtjdIi9FEo56mVpXIyBOY9CLFDpAdtzHk8rSXjRLUqKxzjLhWXNVnPqRgNNJyYTBcMgMbImF70akTjnsERSos11WOqcUMAgiu43mncNyDWM5ecvZT5Oy9mHIlznQ7w+d+BsXoo7Lzk8jaWJ5tSFgFVDBCXOJaYeoIQNp8yfMyVgG49957eeKJJ57rw/iuxoq+Ms+F61AUBCU6g0WkbGHUjGLpl0dSx6no/E+85LfxL/8owehW8l26rHeNlGJgSjXUmlsYd07MdA4vwrhziiq9eUEQG1PqyOgdDFkHCG7pqE44p6jUqtGk/PbGSbWRjNZCX24vuiQTV0oP7nXGRlQEmhSN1yujowmjbCrCcgPP+RkzydcIRUAolQ7MlWXuT5IEHVvrGeud6QbWkyr3/OQ6zn1r4eSn/e46jn/5ct5t+CuUvfGClWVkV5rRXQl1YXlmB/M3sLLVn22UGjEVVaLr7hrOPbawQW15I235a5U78ZjybhCXZcbsp5n2inNxJ71ePG+QemP9rX0J6o0uOmLdJKVJJuwDTDgzAdmwdYgarXaBQ1o+mFKaltiGko1oi5HWKph2z2B51/GCCWavlRS7ij/diF7GxF+gEHrFrXgBpp0zKFLpMVaVqvC8aNQA37+OqS3tF5kPTV1LEDFwhplEUUzrIanvIqnvJKlvI6GtI662YciZsq3ERYFvRRgoXL/cxOTN11PR/lfEq58syCaKqT23ZMzyw/UuU2wwqHie0RbmY+vWrZw7d648I4kXqQtlYUVfmVwuh2mWx+98NhCU5GpFOO2IgU9UvqoQClLqNErnnxNmm/Ev/yihvXQQz3pXyejNDFsHi25vwjlDhVaLIuLUmltwgzHGnaUz3in3PCkljinPySIJJOrNLeTcfsadi7f22w9hlrSW3y5SkxLUGuvpt44xZB8nIRuk1eJ+8NVaO0k1TW/2Ker0alJK6eYJRWh0xNcyaj3NmsSqspqVWmJrUPBJ3GqAMK1achGyuQAJtRJTzj8hKIWzT16nffdcaTLTFOfyk/1c3TcXrNz1th4uPt7H0IWlmSd3hYGuu4JAV6J8zvXC9aUVteSulLpwp+baTtZj8Pw4Fx7r4/A/XeTg/7vAhcdm7peT8/Bsn8Fz45z+ei9P/vlp/vbD/8q//a+nuPxkH+FKZTMWYfVL6jjzncXPbfn7WM59XQ5n2i7D9czHYsQ+wqr4Duo0Hcs9yqh9JK/qy4R7EV3kqNa7Fh4jMg1GDy1mNypDjFn7UUR5dCepQNVPyBaEMhPWeaoiqCkApLQuwij813ASRS4tAZdQOyjnftvOftQF0mAyklSJorSjqeuRpehNa7cR5rCdp7CdPdjOfhz3OK53iSAYwXOPIYtoVJEQGdtdmk22s83cOPezSMoYXesfR9GLP0OlDJ1cv49kAfc3gULavD/S8T4X0HWdhx56iIMHi3/z5+NF1YXysCIi5LPtihYVJakLEQLdqJmNqB3ns/a9QraRm/6VYLoF/9oPItLHkaqfWMA5ivqBmnTPU2fu5GbuQNHlst5VTLkeSdQhkFAlnYHc0pfKCcYIQpsqfRXD9tzgVKl3k/NGGbBOzNtmHwoG9cZa+qyFeooyCg3mWvpyx25nWMecK2hSnCZzFddz+cto9XoHQThCf+4wAAPWIdrNdkbdkFG38ECYVmvJqCYj9sx6qkjQbK7BHk6QNYrzc9NqLQklTl/uAHEpQ5W2it4CxzeLsRtZtLiCkVDZ9yf9gMcrd27k9PQgucCm5a5aOh9o4Ny3rtO6cyaDoydVdv5YD4/90TFe//F7b2+ryWynQlG4PCXjLiMzGlcMBAGevzwfdbWELWkprFQ1YaXNaCuBQDB8aZI9f32Gs9+8QbLOJFVvkqyLIcmC89+5yfj1LOM3Z8aTdFOcqvYEVR1J1tzbTd9kH4/90TG+9dFD3P2T61n7vUsniZ7jc+LLl4nXGHTe34CkSAikolzdVffX8h8fPY416WIkZybcy/rOLGsWUN79UIXJpHO97My6Gw5EsgW2gzFEMEmzuZUpb5S0mmbKucCUc2TBcpPuZWqN7fTdGjuKQRYa03mCr1kIs5cw18y4fISY0kLWK6yYAhCTDKK+ulnnKAl9B1lnf8FlFKYj2LbMh4umtCDhEvoTBOEEIhwBf2QmGSd3MKOSEO0gBRq2s9TZcBZBOElMu5tJe2/JbRnqWnLu3Hcj8A1G+74Xe7qdmrbPoBn92G4MRWTwwrGC23EKOKfNh1Tg/BL6NpR5lMDnIz74wQ/yute9jnvvvbf0wvCCz7A+21hRoDsxMfGsa+hGQVDCpjKaR3lUdYOI2Tix2GTiGqLz0wRD9+NfeBdS478hxWbL3eU8xdEGL8vvI6G2M2IPkC0yjHphjknnPHXGOgats9Sa6+nLHc17TB4WY/ZRWsxt9OZOEBJQqbUShg43c0eWLO8E0zj2cTriW7gyfeY2h1CXYjQaLfRbS6W5xpzLaJJJZ6yHi9mFGWtZKLTFVjNsHWfEnhPedsMpRuyjtDhv5WpF/oZCReg0md0MWCcY8meuhxWMYTljdMQ2ctO6gZXnOfLcgD94xbcQkqCpO0OsMuSnP7eZYecIbUYVvmjh3PQ1GjdXcfnJhVm5rW/u4tgXL3HuW9fZ+YrNVGoJBqzTwGkeqmvlwlQr56cGluwzH2QhsTHdyoB9FUUotKktnJoo/kFejCrN4J5qDVXq4cL0RbxlKAnU6jWYQmLIHSt7XbgDzWgrxBOfOkVuzOE9X30FZiY/1zEMQsIgRFLmgsAms5vL2Tgb39jJjSPD/PtH9uDlPDa+YabDPAxDLj56k+987AgVbQnsSZdvffQQr/v4vWQ2FDdQiFdodN9by+Gv9LL7LR23t1culsOdLpfHmNaamShiHJB3H0hMlaGqEOIz7V7AD0YYKTLcDVsHqdR6GHGKT1Sr9VZc93DB36X4ZYLpdoL4ZWQhIZCLak2L4GJZI3bWOUtc3YCEhCQpSCgIQOADLmGZfGMA37tC4M9QRxbfwsC/REzfTdbeE2lbmroe2z1UdBnHOYgq1eIGxccrIc0862EIU6N3Md7/clK136ay8cu3myvDMEtS28zoIhnPWRhKN24EjnHOOU5M6SbERZUSyMJARiZh3F1y3ecaL33pS3n1q1/9XB/Gdy1WFOj6vo8sr1QH886jXA3GfAgjDvhRO87zZYiF5CPXfpswfRz/+msIjT6kum+UVXKMFrTPIohk8RriMmIdp8bYRF+egHUxBq2DNBhrkUWcvtxRghLBd3/uMI1GJ2NulrRWjeVdzxvkzsINcow5h+lJbORS9gZOYFNntCOFEwwWoniEEp7nEtNd0nInfdZcwNtorsby++mzDuc/H/sYCaWCSrmbG7mFwXXSSHHPa9YgJ6ZYvTvDhgerkG8FQFl/GBhme3oT1yuGscYXBp6KJvN9v3o3//aLT7Hh7kq8xNy9c4KrtJi9tMfv5smhCbJFMrRrUs14wRiXsnMBxrg3zqZ0J9dzUww7xT+UuiTxYG0F0/5JBuwZXlitVossVXAtd7nourNIKWnWJUwk7zFkSaU9to1DEzfKamzrijVRKQ8iS02cnh5l2i/93nqOz8D5KSYHLbxhyNafQN+RwpbKf+dVSeW+n1jLZ972bbR4YaqSkARCyv+eCSFo2lLNmz75Ev7x3d9ByIKGDVV8+2OHmezL8tAvbKX9nhkDmjNfv8aXPvA47/7b+8i0FG/o2fXD7Xz5V46w84fakQrsuySWQYkpl6OrlylNCJBRm7HL1JVNaS2MWCMllgpxgyFUkcANC7ttmZJWdBSU4pfxRmd4r9PuJSqNuxi2FlbNJKGjSiliSh2B92TEs5iFh+yfIQxzBCxtM1SVHsJQRFbZUJQOfO9S0WUC5ySSVBGRq1v6mx5iY6ituHbhQHeWtmDnGhnu/QE04yYNq/4QWVnKRbXdE0ginpd2qMlVkQJdCNGZxPOvE/ozCtseEPhXqUv/zPO2GW0W998fjV4heOFTCZ5trCjQTSaTTE6Wbx36TCMd/yGGxn+zyBIRnpKItqzRbU8Lf0CEPoTc8deEo9vxLr4bu+kyGNzxRpuoGrwzBxXgFLFmXIwR+xSSyJQMcm8v71ykWl/NkB3N9hVg0DpGvVaHrnRxM3uo6IdAs6tx9CFy/jBZb4T2+GbGnVHiisngPBWLQrD8USx/lI74Jq7nruEGNu3xHrLOGV7+Uxl+7wfO88r3tt0Ochce51FWt0n8x/kp7CkXPaEiEHTGV1Oz6xLH787w5V8/yMMfWkemYV6gIAL88Anuq66hz1rP0fGFbkrNZjUVmszVAtSKS9mL6JLBlkw7R8euLNGoFMD9NdVo0kVG3YWZ7glvABhgdWItN6whprz8wbIm6WxMNqAHj4OfAwF+aJNznmJ7ooUhv4GL2eK6xfV6Fe16yLjzNFMBwGXatBRCXseJqaUf7OGr05x/fIDzTwxy5cAIFY0xmpoypKstjv3rKW78ksPuN2yl8p440yMWo1enGL0yie8EPPCzm4hXLQwqZaGwPtmKHuyhY3MTf2X5ZWVMq7U66rUp0koTRyZmqjAVbUne+GcP8JUPPUl2yGL3T6xjyw92L5AJ63m4BWNa5XM/uY+3/80uEtWFu+VbtlSgmjIXnxqk+97aZWW+w2V8Dcvdj78M17O4msYuk6UT9agsf4hKfSP9VuHmMKdE05xQJwi95O1gc9I+Rb3WDmQJwwmCYAKYBIbAu4KurMb2ilvQzkdS6yF0ny74u+udwdR34zjRMrCKVI9D8UA3ZAJT3cV0CbqBEDHsiFbctnMATWnDKaA5rIot3LjaiZNroqrpn9FjxdwhJ6gwXoYfZhGhRxjaBOE0fjCOEvE51pVOvDwTKNfvJWvvIf4CyOxGwndBc9izjRUFuqlUiomJ8ssszzQyyZ8kaz9O1vrvJb+pSicVibczbe+nWNk/6nMUXWqr+FAtRIio3I9InsYd/EEk620E9f8FZvGgoZzsbzS1iTmU201ftuxYWUvPYMrrJ0Apme3Qc/XYt66dECEDucPUGD30WdG6mWcxaB0lo1QRk6sZs2d4ddUtJjteXcd/fOISj/xaT971qroC1t6f5MSfnOcNv/F9+MEEA9ZMdvwVH17HN//oNJ/8gUdp21bJI7+/fUHA7IaDVOnf5uG6Hewb8QmBrkQVF6fOMekXz9LZgcWF6dOsSjaQ81WuZmcyLpvTlTTFhhh29mMX2cSN3Ck0KUZ3YjUXps7dfr4EgnXJdjLiIGGQ/0M47V3D5Bp3Z7ZzbHKSqUUZ2oQcY32igkn7IOPOwmfLCSYg2MO25GquOxr99iBBEPLNPzrNoS9dY/UDdWx+dTO/8PFXU52+juXPZZKuX7D45j9e4smPuhh1KeLNGnVrKhi/Mc3nf+SbvPYP7qWmJwNAV7yDGvkMfvCNmWvtnSbwAnqURq5JYzhB4Uy6IcVYnajDd5/Ccn0E8JKKDRyfChl2J6nqTPFjX3olgR8iyQufblPS2ZKqYu0PD2APVfDP7z/CW/9yJ3IBFoMQgl0/3M6Tn7nEy19+LwYniZk9DNo3sCNIgGmSSYOWwlETXM1Ge+Z1KUlcSTHslF4WZpRRpt3o1suzCJcRHE+50Wk5I/YxWuK7kYIpJCGQRMgMidYhDF2cEtQ2AKEPEtrVCGOQpNaB7xUKOn18HEADol04NUJdzXKOo4gagrC0dbnvXY20X9feh6Z04xQxotDVdVhF+MOL9owuZXCYCXQlEUeW0kgkGB/ZwlDfZpI1X6Gq6Z8iebO43vm8QbPtBgjU26YlhaDJNTgFKgVj0//83RPovoiysaJOkHg8ztRU9KzfswUhBHWVf4Qs1y/4u6b00Fz7JdLx11Kf+ZWC6ytyPZn4a4lUwonIa4wajgp1CrP9aYKGryH1vwzR+3pwivCgy8hElWvcEDU7O4tyLIph+dJSUcrjhtWAvcgRbbl6r1l/mKlFWaBX/GQ7554e43O/dAonl/94XvvhLp74l9Oo9gRj7tz6Zkrl+395Ix/6xsu5cXKc8Zv5P/xuuJ+dlVcx5CkuTJ8paWM8Hzesm4w5veyqauc1TSaGcpBhJ9oH0Qmy9OWO0Raro1avpyPWyr3pkDRfJwxL+7JP2AfoNvrYnGxFAKpQ2J5qo1O/yYT9dFG+44RzljSnWac28s8fPsTVQ6O878sv5QP/9xX82A+sIpE4tCDIBWjqMnjbLzTzf/+1g//953V88Ddfx44fXMsDP7OJ+396E//0nu8w+Ng0u9IpKsU38YNeJkc9PvfRXr74iZvsfEWGP3jPZ9kQn6Q9ttRtSiBYnehmlTmE7z0OYu74x53jdOiX2Jlpvj1xmx/kCmBzqoWe2Bij9gFCfF79/maa1kl86UNP06QXVi554HXbsAcc9v/bV/CCESbswyQkjzpjTdHr32J206C6jNt7yTlP0x3vKKkoUm+sJaNYWM6jtMd6UEtQEqq0Zpq0BJWqTkqpL7rsfAgkptzLkZcHSChN2H4p2sJCSMFNbHcPOecppu09TDtPM+0cIeueRJOUkmOhiF0lzLYBoJWYVNveFWJ6cYmv28clDLwIUmRhOIWktJRcTlVW4QeFddznQ4gQpUSyo1zzF9fvxZRr0IWCwiTWlODS6e8jO+XTvfYLJCv3RQpyNaWjYGbYD0ZI6KXNHny/cMZ4IvtVgjIl6J7PeFF1oTysKNCVJOl5q6WryNXUV36C2VPU1Q001/4zyi0h8KrUu8jEH1mynq6soqPuK9Qk30pHZTH6A5jqKgy5+o4fexD6YPQTtP0dYfoY0rUfRPQ/BP5Sk4hygrfyM7plBK6hRBCZxnHreJb5+EXJHKt2Ja62kI+2EgevxdntZKXGh//fdjwn5PfffICJoaXZnFhapXVjkmOP5w8wVUOmqi3OaG9hfmkQWljB8gboUARMODfpt8prFprFkH0FhUka5G8SBOVxKt1gAs97knvSFWyMWWSdp3AjZNIARgZz/MIjn6MyBr/zuTfzUHsLcQ4xVaRTfhZCeGj+N7krMUl7rI2tr1rLL/3Nm/jqb3+D97/ks/zCa07yGz90hg+/8gRWLmCk3+XIYxNsezBNENwkI77N9nQ9CWWmS7vBaGZLMoYafIcgzM9v9MIsjvsk92VUmo05ycAmo5qd6Ti2uw/LH5t3jIK3/FoXo4OTHPzG42xIdqJJczQGRWisSaymwTjLO3+rkc/+1lUmR71b13WEnHOIFnMN+iLJpbicZnW8Ddfdj+3PTUjG7SNUyjmazFVLjt2Q07TGunG9p/Fu8TezztPUKhJV+tKgX0KiK74O4Z9n2rvGlHsFKeynyVxf6tZQrbXRHltLQikuS7gYsQj63vOhiDi2U5hKkHUvUGVsKboNKXaFINuGQMGPEJhO2vvRleKmBQBJbU3kjLbtHERVtxZdplzpMN87Tdx4EFPbRUy/m7i+m5h2FzFtMzG1B8qsymlqN37Qj+cp3Lz6Q/RffyP1LZ+nvvkfCcIjxNTiVtGzKGWRHObRk58PXWnD9wtP5INwgslsmTa7z2eE4bP/7wWMFfusPp8J3jHjXipTP8O09d801fw98iKL3YbKj2K758k5Mw1NMX0nrTV/fXu5uuQPY3vXuTHxJ0u2ndS3YdtHCcPzpPUdjNuFm6lkkUCVorvJ3A4wBZA8T5C4iBjdinTpxwkrnyasOAS3sntR5c1mNldeYFmOkYAkFCJr7Mwez7IzusWPS3bjeMr0Em5EOddqPgQibxZSjyu87f+s5Z9/6xz//Fvn2Pa9tWx+eKGj0H0/1MQ//u4TvGPb3eixpa9bpilWNNAVK5bvWtHqSCt8v51giJwfTUkC4PyRKf74Zy7wwBuqecNPNVJjTDNmR7OxnY8g7KVe6qUz2c3k+gv8/tfXMzrgkJsKyE35VNSpNLTPvJPv/M3WBeOY7+1llZFEV3YxYX8HJ6J13aR7gVpZoS1zFwEwZh9aQtGYhSQLXvPTbXzl45fZ9NIDtOi1+KINN5RJiWu47mMArNqaYPf3VfLZ37rKe3+v8/b64/YhklIFGW0N/dZpOmNrcNzjTNj5s2JOMArBAbrj27iau4ETZGkw1xN4p5l2lmYE3eAmcjhAW2wXV7OnCPHJqHVk5JAxa2F3vB/mmLAP0Gpuos/uxZln2JNQaqjWarH9XnLeKUb9mcpSvbklkhSYImKIMisxGb2D0C2unz1pHySpdjLp5ldlEeZNwlwDKW0VoR+llO/j4wEqFCmxayKISHCYgevdAOLANELEkUQSIcWQhIlAx/dL25svgXeRwM//nCjKKsoRKnScEQb7XsnE6Haq675GfcvnF2RwlYhVqFLyYbZ3DlNZQ64AF1qT63H8/PdyFmPT/0w6/ppIx/N8xws9w/ps47kTsXyWUJn6IM01/7AkyIWZztmWmr9AketJmq+irfbzS5Zrrfg5quNvmPcXQVrfhW3vBxyE8BHOIVJa/oyGqbRhyHEmrW/RYJYuv5hKE6a8SPNPBISVBwg6/hqcDNLFd8DkjIh6ZHkzym80KSejuzwns+UFUaW4w7o1x89dsN4yqQvFhOiFEHzv+zo4v3+Mf/jfZ9j75YX73fqKWjq31vOfv5u/Aa6yNU7vsbEi239udWpXatEb5ZnzvZC9/zHCb7z5FH/0gQu8+UPNvPH9TTPB5woDbSFmJkW6KVHfZtCxPsa6XcnbQe7MMkv3EYaT6GIgcuf7LAI8HO8Io/b+ohQNgM0PViJkwcknxsh6gzjuMczgKdxFJdgf+Jkmjjw6zvDNhSGIE4yScw6xLrGOrLMHr4jSwCzG7YPUqj4d8bU47l68YkYHwifnPEmLUUVXfBNa2FswMAQYtY+SkVVq9S5azHW0GE0o4VXG7KfJeXPvRYjPiHWAGn01Wh59U4FEpdZDo7mOlJjGdY9TqUfLDEJpqsHMMXgIckgF7HOFCEC20YJoDpAwS2HYUfB3SRi4buns8Hz4QT+63IqCghJOIwV9CO8ioXuCwD2IKkenjQAoSjdegSAXwPPOEdMKn8MsgkBhbOiNnDv5A8iSRUfP75Ku3L/kdXXcE5jq2qLb0pUevAgBu1qEfhP4pbni09ZjK6rqvYgXLlac0ZVlGc/zUJQVb+oZgRAyQhR+QVS5jo66L6HKzQUzjJ1Vv4vrDzJp7yeh9pCzn1q0EwfJO05SW8OkM9f4kda3kHOO4zFTep6y99Jg7uRmLn+GqkLfzJRzBse7Qa2+lYHFmSzZJqz/JqGzH9H/MuSRB1BbrwIRS9NlBj3lcG4loQLlldiXq6FaqpVDt+rJxZaWsZZrVSuVeE3iFSq/+Z17GLiU5Y/ffohMnU7P3XMl7Df/yj38xmv/Hye+doP1r1hYtt3+xlY+9cijnHtsgFX3Ly3RinClge7KAsWVrl9sMmPnfL72mQH+63P91DTrvPJH69jx8gpk5c5ViZ6v1CqYC7BjyZl7XKix1IjJ1DZrjPS7VDUsDczCsJwcIdj+ILIoruU7H5Z3HlVoed3LFiPn91Ol1DAWoaFp3DmFLlcTV7oZdc4TVxpJqzW47gVc7xDZ2cJNCL5zkHrz7ltyh8UmrAKvSLPVwvPqpVK/i6ECEoWS2Ys1aaOVYZg4Ze+nxtgJocVM85tFGGYJwmnCIIcsN+F5xTOP86EqnQT+qYJvkePsQ1G68LwLkbYnSdVAiesT3CjY/BWGEuMjuxgeeIiq6kE6Vv9fJLn4c6EKQTGyhixniMJ6s5wjqFIVbjCMLKVRpApkKYEiktjO4yXXj+nbV5w4eN7g+TusPS+x4oyuaZoMDpbuDH0+Q1Nai5bRJaGyuubPSCidWE4hmz4LxTtPXO1CoFBhbCfr7CdcFPxN2ftoMBdaFUpoVBpbGbcP4YdZQnymnAPUG5sLHPA4Vd1n0er+m4nLjWT63o7IYyc8H4ow0YSOIpZBoYiAcuw3Z7HcQLcUdUG36nDyWP+W21w3iyjuX5IkqO+K86O/v56//fBJbpydy64ZCZXv/YX1PPV3SyWA4hUab/idrXz5V48wMZBnorDCjOxKqQsrNXQotP7kiMtvv/0M5w9P8cE/W8Wv/v1adr2yMk+Q+/ylRq0UjuXTdzFHy9rSkVSmTmOwd3nud/lR3nNV3nwn+lfY9ofIuudpNFajBufJ2k/lNSEQImTafpI6vRO1iB1sSm3HD6JbEk/Y+6k176bW2EaduY16cwsNxgYajDVUpW3c6abI2wKIq504zhM47gEc9xiudw7Pv04QjBFiA0pZ2udqCe6qIEBCJdp7IuNFkEHz/RvE9IX2x2EomBjdxqXT/wvbqqV91R9SVfflkkEuMFOpUFYXPCbbjSbNFuISUxuJCQmdYeTgPHiH8dzHUOX81vXzkYp9f6T9PO/xHDSivdCpEitOw6ZSKQYGBmhoKO3h/UKGLCXwS7jAhEyhBb2oWg9TRfQKZ4LdmcyuoTSiCpWxRYLkEDJh76Pe2LXA2EAWOtX6asbtg2CC3HEOb6qLRN8j2PJN3JrHCRf5hqe1TsJwimHrCWr1DkbdHLl5zTH50BjbhBsE3MgVtoKcj5ku7TGe6almqewqoYQIVAJ5aZZruRldWcgEEU9r1c4K3viLq/jUe47yM3+/jYp6A5+AutWpglzc9h1V3PVIG1/4mf380Md3kKyZm4yUpX2cByvNyC6XRz1vA0v+NHDV4nffeZa7Hq7gkQ82L98Q4QWOa6emqe80UfXZa1z4Idv9qkq+9f8Guef78zQfPSuXL/pOypE8BNDkNFnncKRls+4xUnI9sr4ZEQZIQrrlKhYg8NEkg/EyCksCCeE+TRiOLZEnlfU07tBPlHEmEJOTFKBlA+B4ZzG13diRNHIFYYTsr++dRtfuwnYKa/MCqOoGXLe0ARCA755CEin8YILpiXUM9n0/RuwKrd1/gqJOoKkbcCLq7QJochxJ3oFAnnmSQn8m8A9dpguoLSw5frkZ1z2U91HUlEbcIs1oIJOKfV/k430R311YcUY3lUrR31+c+P/dgwjcr3AMLwJfaMreR6O5E98fZdpdmumbxYS9lwZzJrObVFtJKZmZIPcWhAApeQHa/5CKumG0m69C7X09wqpBIFNnbCPnXMS6xZGbci+RlENSan5ulylV0GB2M2IdYNI5RFusdDd1jbEGEY7RbHajSdE4bYaUQpcUNCl6CRVAkQqL7ANodhWOnl8Cq1yd31mUG2xu/746HnhrM59891EcyycMA5K1BtaEW1CK7IGfWMXq+2v51Jsf48rBeVJKKyy1ySvm6K40o7tw/1bW5//7kTO84m11vPnDLc94kFtu0LV47WcSdtaPPBHZ9coKBq7aXDoeTbmiFMpvIn7m7lNCaS5redcfRPEOI7zHCN3vELjfwXcfw3OfJGt/i7S+Jfq+tVWE4Vje3xRtHNeWiGt3RdyawI/g4GW5x5Cl4plaAE1dSxhE+7b67sWiFD0AUUYfRRiO41sPcuXczzA+ehfNHZ+jpe07xMxaDHUjch5uddF9o+I7e/GcJ3GdJ3HdvXjuYTzvBDFtY+kNAJpSOLvuuucoJgca13ejPAMKSc8Zwufg3wsYKw500+k0N2+WLxr+QkT0j2a05bxwGj+P5eFijFv7aIntwvevkSvg6iME5PRvUL3mcag8jtH/fcSvv4XR8asLdD8BLL8flWGq9c4Ff6831qFIOUbtOc7viL2f1lh3XsqDIgwazQ1MOsewgxHGnWNkFI20Wrzc12iuRZdcbub2kFQMKrXSZSeAKr2DhJykxWwnJmfyLqNb9XlpC7V6F1Xa8qoO0jIa7R76sRYIof9iFj8MkCRButFk7Eb+rK4kCV76k6u5+22dfOeTc6U8Ea40UF0ZVhroLj6C//q7Abq3xHn4raU/9Hdm/8/fEXrN7gwTIy7XTpVuIlNUiVe8rY6v/lWepp1lneIzOcEo74DkMuuiCa2ToEgTne2eRZNrCv4+H0YJvWBFH2Rqsr8khQAgqfbgB6V1psNwGilCE5lShKKxdJvDaOqGIkskcCNmYKemOrlw/r303VxFa/vXae/4PDH9OiLsI/TP43vHICjHKErgFlNV8HuJ8jz6fmHTED8cwtQKn38q9uqS23/hIESEz/6/FzLuSEZ3aKj0y/0/CSvLIuWHH2YJIjSdTDqnqKsMoeMLOBXfQOp7OdKVH4TcwiDPDSbx/PM0mOtQpThN5jrGnCO4eVyXRu1j1OopEvJc2bRS7ySlxhmxDy1YNuffRATXaTCXdkmbUppmcxUj9lHsWwPltNeP5V+lJVZ4kFKlGE3mBsbtC0x61xm2z6CLHE3GUt6XZtVizwt0TSlNS6yHcfc0w/YR2mM96BGzzgBN5mp0yaLRXF0wuM4HIQTxShXDqqdaqwEEFSWkxABunhin56VzH1VdUlf0kkorDGhWTH2Yd/R2zuerf9nHmz5QHu/xOcMzLJ0oyYIH39LAV/44mpHHg49Uc+zxcYZuROPqHt87xf/5qSuMDZVn5LJSlDv62UUqWvlgSEUMdAA/nMCMlL0T+CWauLTYFexsNZpUOnA2C9nc5YHtHkEvqm6gETjl6V+7ztPE9XuJ6zuJa9uIqxuIKV3E5EZMOYag8LgXhoLxsU2cO/NBBgcepKHxX1nV8yi6fpJ8jm+edww9okaupq7HDwonw3z/GjGtuCKRrvYUNYSAYgoxMqnYq0od5gsLL2Z0y8KKObrpdJqpqSnCMHxea+reETyXN7uMffuzmeL4NEH8c5BtQhp4EAgJah6F2IxuZhA6TDuHqNLWMGwX525NulcwpApMpQtNjjOcO3Rby3fJ/rGYcg7SEtvB9ewpAnyazHVMuhcYspfK6wShy6B1iGZz3S2L07ksd52xlqx3gwHryIK4ww4msJ1jtMc205u7hHerI1yzq3H0YQSCltg6Rp1zDFhzmYwB6xgJuZJKrYubVuGPXFqtI6WYDNsz6057g2hSgkZzHTdypSWCUmo9VRVphofOYLtDrIn10LK6juvHx+h5Sf7skDXpcu7xAV71ixtQhEpXvJNR+xSva2jg2EQ156bLs9tuNDOkNBlDWkefVZ6s0SxqNQM1qJjRYV0G5jfyDd9wSGQUGruKZ9HmY8UZ3ZWs/ixkMV72tkae+Od+Dn1jmK0vryIMC8fXsaTC/a+v5j//tp+3fmRhFcT3Qk4fnObw41OMDbrkpgMun8px/ZLDU/85zuveVcPr3llDump2yC/vwpR1H8rQq06oLbgRVRJmEUU7NuseI6Pvvm3bnQ9xtZPAL57l1GJXyI1vxHK/SELfyZSdnwcrkPG88uzFHe8SMW0nQki3r68guCV9JuE6hbXZ8x6rugbfebLg7zFtJ1P2wv6NIFAYHbmLwcGXEo9forX9M+j6EELEcZziTeZRJ9GSKP2+SyUUPVQpXVLf13aOIUsZ/EXmEnH9bhS5PGONF/HdhRUHuslkkv7+fqampkgmo5daXph47iLdFX3uY9cJ2v4ecg1IAy+BUCaoeRxiV0CEkWSDAOxglIxSy6B1INIBjdn7qTdWI4RWMpAGGLJPEldqSNBGzp8kpdbcDjQLYcA6QpXagEcNI1Y/ofCo0ptQhEf/vCa++cj5I+T8ETrim+nNXsSdd/6qZNBsdjGYO8awv5DT6wRTDFrHaDTWMOYOkfWXBn+aFKPe6GQsd4jhgWESmRkbz6x3hpe8WuUT77/KQ+9dt4ROAtB/bpJEtcG6hjV4YR8Dt2SPxt2LtJtXWJfawdf6p7CC4k11CcVgY7qa3twZLk/PLNsaW0sYDjPpRTNvaDZqadByjDuP4UlxavTtjFiFJzeLIaHQYK7D8PdTFevmpuMzNX6WeDo657hS7yYhhlGNjfRb5ZtGVOlrSMo6Wfdm2YobhpSkQtEZWobQgSFn8MiS80vTklRN4q2/3sVf/cI5Ntxdh5oSeEWsSl/xtjp+8TUnFgS6Qsi864FTxJMyu1+RZtXmGIomuHbe5mVvquCb/zTK09+a4Bv/MMLHvrKK2iatbH3kleopF0JMrmWqjEBXl2uwSxgDzCLrHMZQmrC8/Ba5ppzBK/FYaLFrjPfNNDFZ9kky+nYkwtvBqbiV7pKEhG3vK76xRVClGgK38DqadjeO81TB3xdDEfGiKl2ecwBVbsf1L+P7BkOD9zMysotM5jBd3X+Mqs5RaFR1PZZT/Hw87wS6uh7bza8RDiBEHMsp/e563gl0pQc7z7MgUHHdCNlt4ZKKvQpVbkGVG1CUelS5AVV+gVSQIkKEkYfhF3ELd4S6EIYh4+NFhMe/a3CnA91yOpnvAMybBG1fIKj7xozT2sV3Ika3EgblhNHlhdyT7lmG7egluKw3SM67jIzHcJ7sb959eDexvSu0hbvQkz7T3mXG3NLl4P7cESrUGLV6GwDNZg8pWaE/d6ionfGgfRpBbpHtqaDJXE9SChi1nsbzXa6dydK+Ya5c2LpOw0x4OEfGqdWX+thv37kWOZD41pe/wbS3MJsS4DPl7uXh2iHuqsgvJScLwc7KVuqNaa5kT+LPU5m4mr3CTcui3tiMTGHOcVpJsCvdQJxjjN+yUXWDaW7kjqKrnSTUzoLrzqJGX0OnrmN434RwHLwD1ItTmLkmkumlNtaLEVfq6Ix1kgr24HtHULxHaTVaSKjRmpbiSgNtZgeG/xSu8226jBh1eexs80Eg0RFbS4MySuB8nfWxGirUaBa0Egqt5gaqxFm6tEFWx7sirdezK8PWe1r49p+eo1kPaTAKW8lWN2rkpn18L0QROt3xHkL3KRqbMrz6R2tJZmT2fH2Cv/iNG5hxiZc/UslP/14LlbUqyQqZ0I1Rb64jJm5QrReSfJp3TkKlLbYOPTxFtV5c+B+gRu8iJq7QGluPJIrf63pjCzhPU2kUt7mdj4S69L0phBALU07TaG6hydxMs7mZFnPTjJmF2YMpSlM6JNkiDFTCUEKRDHD3Erh78J0n8ZwnZhqrnKew7ScwIhgtzIcmF6dgOM4BJDnaMy9EHM8rxcH1wa/neu/rOHfmQ0iSy+qe/0ND478tCHIB/CDa91wq8WXS1fVE1Vefux4CWcqgK6uI63eTjr26KCd7PqqT76Um/QEyiR8gYdyPrnYjleBhvyDxPKQuXLt2jQcffJC1a9eyfv16Pv7xjwPw67/+6zQ1NbFlyxa2bNnCv//7v99e53d+53fo7u6mp6eHr33tayu5IkVxRzK6nucxPj5Oc3N53bMvPNzZZrSyQsY7ubDZT9j8ZUIvjhjZgX/2fpTECbzK/aCWbowpB8up/gZ4UKYIfoCHMxWQVY5TjlvclNePYJDu+FZu5BZLvBWGE0wzYB2lweghREUKx5iYVya9cSFHRZ2GmZh7xYQQ7H51NU/820nefpfDmsQuLkxfRZM1WoxaBqzj/MjvreIvP3Cc66en+L6f7kBWFs5Fp71+UnI/b2zcwreHYNiZ+YisTzUiiRF6c4U/dl7ocXryHFVaA7WaxoA9lz3RhMLGVBM55zCjdv4P07hzBYFEnbmDKef0EieupNpMrSLAe2zJGyCEjTN+mNqMTI3ew6C9tMyriBhNZifCeZLAXXj/fe8o6VAlY97NTes8frhUgl4RMeqNLkJnD9689W3vCjpX6IndxRV7EMvPTwGp1dtIi3Fs54nbf7PcE1ShUhffyfnsFbwCz2WV3k1a9BF4/w2AF+SQgsfYktjAFVti1M3fx2DKlbQYSd7/kev8+Cv6eNlrBT0b+1gV3841a2jJsQoh0AyJCtqo1PvJ3pKpuvfhkH/58yG23l/L9/xgJR/6w1biqZnsuaoJJsc8Rvp8OholrNtmDgO0xnZyI3cJL8/1zKgtJKVpsvbMPhSGaDbvoc9aurxAojW2lqyzF4cAxx+gXmtjKjCZcBdyK1UpSa1Wj+M+CgJsZw/Vxg5G7YsFm3PjajtxuQJFuGXZ0sQkBa+AmYAk0ihSJV4wkvf328dr3MTNNVJVWY/rFOaaWs5+FKUDzyvNORZo+G4p6UYHWaokKMFNBdDVDfhFssO5XB03+r+HbK6RhoZzNDb9zoz7Wx7IchtuRBqG551EVzdgF2h0C8poWpNCnzWN+1HkqgUKEX4wxvkb/0ZYpNIBYGjb0NRoE9oXceehKAof+9jH2LZtG5OTk2zfvp3v+Z7vAeBnf/Zn+fCHP7xg+ZMnT/KFL3yBEydOcOPGDV7+8pdz9uxZZPnOm3qsOKObTCZxXfd/SEY3GqI2oz3n/G5lmrD2O8irv0qoD6Nde9OMNFm2seAq5XMml0e6WE5Dn5Srws2juFB6X0HeD30UDNln0KVgiTXqzQs5zISM5y78mOx4RSUHvzFKEPhknafoMnXi0jj91lFCAlo3pPjwP+3g2olJ/uxdR5gczh9YjTmH2Zk5z8O19eysrGbUPc2wE42WMOwMcXbqBlXaRmJyivXJVtbGckzae4qWzWHmWvXljuBiUnFLxkmT0rTH1lITHgWvkKEKKKrAdabJhI/SHWsnpsw0+AgkGswNtGhZhPttEAUmOcIldB+lUQ2oMRZm0+uMjdSrNqH7aMH1c87TNMgjdJhrFzzHMTlNT6wLwz+EnUe3NMTFdZ5glR7SbCzMaBtyBZ2xbpLBUwT+0gDHco9TL59hQ7J7gamKQKItto5m5Sqht5dMlcxPfKSKj31kEN8LmXYOUKuM0RJbs2B7uhTHNFTc6QM487iqP/SeCj73nSY+/Jsmr3vdS0im5lRSKioz9F/x0PQQzRxbsL0pex/Vqky1PpdFFki0mBvQgrNYi7rlPfdJ6lSZjDaXrU4otbSYNWSdp5jvWmZ5V9DCSzSZc42mKa2TKjnAcRdOKnPOfpKKSXxeoKJKGaqNbdRoDajBSRz3CbLOXjKLzAyKQQoLc8uDcJx4CYUYAC12FSfXAiUCYnCR0Igy5sW0DYRh6SDQdY+iattKLke4tIk4DGF8chWnz/8El649QlXFATas+T/UVh0u2mcpy+Wp08hCJ6bfTUy/m7i2k7i2lZi6FlNpI4ygKjSLTPLtqEr9Ehk0WcqQMF9Rcv107A1lHfcLGc9H1YWGhga2bZt5VpPJJGvXruX69fy0IYB/+Zd/4c1vfjO6rtPR0UF3dzf79pVH/4mKO0JdyGaz2Lb9vLbbvBNozPz8c7bvcltHylpa8vEzx3A6/ga/8mmU4d1ol96OPL4elshblXePl99MtIxA10nhactrmloJ8p3hppdkSFWp/MG7TpOdmKNB1LYaxNMy187MqC8E4RRusDDITlZq/OSfb6Z9c5o/+OGDuHZ+IqETTJFRB+jNRbcUnY8L0xeo1qpx3b3k/PKUU2x/jJu5E1TqO2iRB5DdRxF5eMfzoRsCKzdzX4W3lybpAh3xbXQYFejetwkjSDMBBEEfmvc4rWY71cZ6WvU6FO/RSOv7wQS++wSrzCpq1FY6Y+uokwbJlRDbB3D86+j+HtbHW0goFTSbG6iXbhK4xXmUYWjjOY+yMSZoNFrIaM2sjqXR/G8Bc1nxh9+QJJWR+Me/HAPAC8bx3afojjWTUKpoNnuoV7NIsodf6FILD9t5kiotQ0rrolLfQHeLxGvemmDdtvyuiI7fR+AdoTW2nrTSRItRh+U8ST4LWAA/6EX3D9MU20STuY6EuEnOza8fG4Q2OWcPLWYnDcY2dO9EwQ58178O3sVbTmVriDOA5z6O6y9sGs25J9AjyHNpUgWOWzwzaTmHSerFA0ktdhU/tyZSltPxzmBqu0ouJ5dRdfK960BhRQdFbsH35uhhnhfjZv+DHDv1EQaHdtPc8B+sW/3HZNKnEAIC/xIx/R5UZRWauhFd246h7cTUdmPqd+P75TmdykLGd57Cd57Cc/fhuYfwvVME/hX0iBrJslRFIvbagr9n4j9YYgsKySLrf9fheUhdmI/Lly9z6NAhdu2aeRc+8YlPsGnTJn78x3+c0dGZb/T169dpaZmjIjU3NxcNjFeCO5LRnZiYIB6PMzV1Z8vezzdUJ3+Y5opfK7KERFPFr9JZ+SsUE6+exTPV4FEubj/DAoJYL27LF3Gbv4Sw6tAvvBNl8D7wbg20z5rQfJkBta8TSu7zxqvQiMt84E97aOgy+d23nyQ3NRfsSrJAkm9dlwLXU5IF3/8zndS2m+z5Yuku8+VjZdfLCaaAaOXJ7h6V44cdstOzH/kcSW4S+OV1q8/Cdw9RI9v4fnkyTACWe5YqJYvnPI4fljduWc4BOnUTxftvYGkmrRBs7wqpcB914hRBnmMWQvCzv1XL5z81yo2rc0Fm1j1GvQaBtwc3GMFzQ1St+Hvl+ldQ/SsE3j4CRnjPR6r56F8VrtRAyJS9lyotRq5EcDhzrD6+8ygEhekG8zHtHEUJr0IpXqxwUMUUjnsQRH6efBBOo8spSo0tabUdIgSUnnsGVSosR6aa1/Gs6Nxgyz2KLBUOxGVRgVekgWsxgqAfVduMJKqR5RYUZRWquh5N3Yqm7UBVVhGGMDnVzvlLP8LJsx8AYN3qj9Pd8VkS8aX9CiIYRfbPI3nHEe5BcJ8mdPcSOnvQlWicdABZasB2ClO+fO8MokhPwCxS8R9GEoXNgGL6AyhFmsrixkv/5ygrPBdBbgiDg4Ps2LHj9r9Pf/rTeQ9vamqKN77xjfzhH/4hqVSKn/zJn+TChQscPnyYhoYGPvShD82cRp7E6DOl3HVHMrqTk5PU19f/jzCOqE29I29mVxJxumr+grrUO6lNvIY1NX+IKEKBTul3sb72Y9TFH46032LbWjmWPnChOoFX9y3szr8ilKfRr/wQ6vVXE0xVPiuci3J3oVh1BGap0uIzhAKVDEkWvOWX2+nekuSP3nsW15756GYnfcz4zKtXKuP9yve2840/v4LnFPpgr1Tn9tlDQ7PClh06//VvxbWEy8HKHsXln/3y1wyhiAJEU5vKW95bwc+97QZPfXN67mNwS7JrctzH80Ji8dJD9/NP7vHODRw59xQZoziFQSFa2TwIJ4gphQNTSXIJQ48wiMYdDMMsilyHqnSgKT3o6gYMbQumtoOYvpOEvg0KZMsLHoMAwTAEvYT+eQLvJL53GMc6zo0bFRw//fPcHHiI2uqn2Lj2ozTU/TeKkv89U9RN+F7hRt8Z2+FooYGqtCGKPM9BMIJZQiMXZNKJtxVdQgiJdPwHCv6ejv/PoS08V6ipqWH//v23/7373e9esozrurzxjW/kLW95C294w8w9qaurQ5ZlJEniXe961216QnNzM9euzZmA9Pb20thYbDK+fNyxjG59fT19fc9k5un5g/r0T1Gfev/t/2tyE6vrv0g69vLbf6uJv4o1NX+MYGnncUPyrWys/yyG0sCW2t+nOfmmovurNrbh2U/SYGyOdHy6nEGJoF0YCZKHX3kIu/Mv8TNH8Ya6iF/6UbShXQg3uvFC+Sjvo6ha9YQrCnSX/xEOi4Q9QswEu4mMwqd/7jyBH9LQafJrrz/GJ95/ltGB4pzY9s1p6rri7P3S83MSWQ41JQhCeq961DXc+WaD5eC5CpJL7fmRd1bwgV+v5s9+a4gvfGrs1u5m9rf/sSybdpolM7phGC5TBrjclZ6BWW/ETWbtQ5hKW97fFCmBHUWS6hYs9wiV5kuoNO6iythJlXEX1cZdVBs7qNa3o+mXsazoH2FZMlH9Syj+GWTvOJJ7GOHuB2cfvnuccj69styIu8iYZzrbxKUrP8TJ0x/C8SZZ3/NvrO78K1LJ8yWKboKwRAUjDAYw1VLBKUhSNY5zqPRyeQwn5iNufg9qBIpDOv5m8r13kkiSMEpzeL+bIMJn/18phGHIO97xDtauXcsHP/jB23+fnwD90pe+xIYNM5z917zmNXzhC1/Atm0uXbrEuXPn2Llz5x2/VnAHVBcSiQRTU1NomoaiKGSzWWKx6A4xL1Q0VvwcQZhlyj5AV+1foMpLyz3V8YdZK/6EUwPvI8RBoNFd9RvUJx+5vYwQEhtq/jeqlOHS+F8sWF8WMar0TiznSRCQc56i0dzNjVx+IXGBTJWxmUlrHzVqK2N+vCT3skJbgySlmHKvU/QLIyCIX0Gr3M/Y9BXUiTWYva8nlG3czBG85Pm84n7PVk5JsWoJMuUJz8/HStzsRIlRQJIF7/69bv7gXaf5h9+7ys/99VrGBx2+/Me9fP7/nuBNv1VYTgrg+3+mk0+++wid2zI0rLqzk4tn02L3if+2UFXYdf98rujzLev4bKD0Ndv10jg19Qr/68du8Mg7M8xWf/c9mmXnA6XH1y98aoxP/+4F1m3V+aN/bEaWv/uuc4hDhVpDSuQIcQlDlzB0bo21LkEZr7SmdOBZ30EUoFYkk51Y2VbMWGEb2lnIcj04hXXDg6AfVd0Q2ZJXluvxg5sEgcrwyHYGh+5FUSapq3mU9tYvIESIpu3CiyBUo6jb8NzS6jJKhMdFU1ZF0vl13eMoUiNecCPv75nEj5feGaAprVSnPkyIiyLVosh1KHItitL03SkhVgzPw36oJ554gs9+9rNs3LiRLVu2APDbv/3bfP7zn+fw4cMIIWhvb+dTn/oUAOvXr+eRRx5h3bp1KIrCn/zJnzwjigtwBwJdSZJul9caGhq4efMmXV3R9CNf6Giu/DWC0C7KLaqKPcT6uk9xfvjX6Kn+fVIFNCN7qj6IJqc5M/IxAGJKC6aw50kBzSBr76HJ2MZN+wJBODcoa3IVCbmCKXsvQkDOu0xCqkJX2xhzryzZn0CmxtzEqLUfCKk3tjJoX8Qv0nWf1roQwQhNiVVcl4/gVhxBsqtQxzahD96PF7+MmzlKYMw1M6hSjCAMSnbzL0V5L7LsVODpkxRVTC+KZzYQUDWJ9/7hKn71dcdYf3eajQ9keOTnW/nIK46x+1QdzWsLm620rk/y+v/Vzafec5QPfmEbqZrCz9uzj+jX7TOfnOBHfiL1PCypLwMrOIWok6rONTp1jSof/XA/O+81GB4Z5YmvT/O29+fXUZ6Pr39pkk9+cR1//FsX+fZXp3jZa54ZM59yGpDvtDV6SluPZeeXDguxMNSNWG4UoxEJVSj4RfjD8fgkAwPReLqm3EAQlKhuRqy4KcoGxkbHGRp+M1NTXVRWHKS78y/QtIUqR65z+lb1sFi0qxJEcJUD8N3jyFIdfpBfxUYSaZwiwfxChBhqG1P2DQQ6klyBLFUiS5WoSisx4/6I24Hq9M9GXvZFPLu477778o4Hr3pVYfvlX/qlX+KXfumXnsnDAu4AdWE+Ghoa/sfQF2ZRLMidRYX5ADuavlkwyJ1FR+YdbKj+TSr1rahBL66f3/Rg2jlIndaIKiUASGtrUUOb7KJSnRsMIwWXqDUWCr2bci0ZrZlR62lmA8pJ5xAVahVGHo94gUyduRXbOUfWu8aE/TSt5jokoRDow9h1/81051/hx6+gD95P7NLbUEe2USNvIKX41Kgxkmr0sl+F1kFlGcsLX11xI9rKCtHR9puoUHnX73bxV794gfEhBzOh8MafWsNXPlbYingWd72mnl1vqOfT7zuGk5vPiVshR/dZijmPHrAZ7PN46FXPn2rPyrPZzzx++eN1rN5ocGjvKOdO2nzin5tpaCne3DM9GdB3zaVnY4y3vb+Cv/uTUYKo6c1nNFEUbeNR7oosEsglgsko1rMACX0nfglFBVl9CjtXOtA1tC0EbulyvuscQ4jC1Zlcrp7r11/L0WOPMDB4H5WZw2xY99s0Nf7HkiAXIGQcRd1YdJ+Kto0giNrV7mOqhRNWmroOiM6119UeuprO0d1ymc7GQ7TVf5Pm2n+krvJjkbfxIubwfKQuPJ9xRwNdwzAIwxDbXoZv5nc5hIh2qZtTb0QOewkpruuac09RqRjUGjuxnOP4BfQig9DCcQ7SZM5wrqr0jRBOMOUuDa5y3kUMkSOtzWmFxpVGKrUmxq19zLetHbUPUK/VY0qZWycY4iXPk2v5Il7bv1OhNGCd34p96SHsMQ3Nv079Au3TpVCESXNsA4F3ijA4RWd8XaRgRLFrwZigQknTaq4ruXw+yCt6FaIHTGt3p7nvjTX85S9cIAxDHnqkg4HLOS7sHyu57ivf205dR4zP/PzJ6IFLSax0O9HO/Yufm+IHfzSJEqUm+oLAM8fRnY/6ZpUfeEeGX//4Jn7l4/W0dpV2ljt3wqauSUGSJe56IIZuCB77WlQ90+eeoxtli5XaarwS2UnLPU+pT5wqN+E5hbWfZyHJQ4RhijAsxsePIftRufQWqrpwPHScNH39L+fU6Z/n+vXXk0warF/z/9HV8RnS6dMlKVIBRb67wsR3y6N2iTBLXNtOTN1IXFlNXG4hJlVioqGWNUNWSCXfi3QrMfMiVogQCMJn/98LGHck0JVlGc+bqRn/T2pKe6YQJUsMYHtXCYL+gg43cwiZtvfQEtvJhHNoiaPVfLjBCL53gVpjM7XGFkK/j+k8QTHApHuOuOxQqc01hNQaq0npWXKZf4LOT0PN4zDZQ3j+R3Gu1NDoPXBLVH0havQeKlWFKXsfQgSE+Izb+2iPNRFTMgWPVyCoDrYgmdcZtg8zZh+gzezAlNIlrskMKtQGOswmfO8wHbFogfV8ZNRmkpKCIvJrlObDa3+qmd6zOfouWZi6wivf285X/+hSyfWEELz5N9eQHff4199fnnZunq0+42sHQcieR3M88D15srkrjntXMgCviH/wLCP6sXat1UhXyPz0D59iqM/nre+r4B/+PP9EeOlunhn5QEkYqFJpfrkkTGKSRKW+HVVU5F0mrW7AcvaW3FYQjqCrPUWX0aQ0US1qDXMCx6or+Htc20RYoNSf9/iCKTzfYGjoHs6c/WkuXnoHkmSzqvtPWLXq76nIfB1Jiq7O4LsX0bTdqOoOVHULqrIeRV6FIreiSM2EYbnNuj6hexC844T+OcKgF8JRhHAJ/eh6pzHz1ShKdHm2F1EaL2Z0y8MdCXSTyeRtDd2GhgZu3MhPOn8R0VDKI34+hIhO3g4i8mRDHCznBBP208WzBIDtD+P7F2kyN9FiriHnHMH2h28dHGDehMavQvefQeoE1pBM5aW3k+5/Dcp0K7rI0GyuwfUO4fhLPxITzmlS0gSNxqolv1VqLdTrDVhTDq4+R/MYtU8Sl3I0GqsLHrcqGXTH1yAHF5lwzuCHNhP2PtrNBlK3HLuKQZeStMfWogVnGLWfoFLVqM1zjPmgqBKrdySZOhWnWbnIj7yiiWvHJyNlaVVN4h0f38DT/9LHwAmJOtVhS6o0Z7MQNJEoK0hfjCjP37mTLvGkRFNrvpaAF2qGd7kjv1jWuorQiDpcJ9Myv//5JrbuqOejHxpl006TK+dLB0wJtQ1DqCgiVXJZSRjUGltIK2n0Ek5ahtJChVKB5J+mqogkmCk3UKNmsOxHcZ09GAxRpXVTpe9Ak2YCTFkkkCKX30GWCp9LXL8L34vWEAag6Sdxne2oSheashpdXYeubsRQtxDT7sa3S5uOAASBwujYZs6cfTnnzn2EwG+nu/ObbFj3ORpqj6EpPrLQISzPbVTXNuM7ewncAwTuEQLvJKF/ntC/RuifR1GLV9TmQ1E23FKHKHAO/lU0pfgkYhap5Psi7/dFvIhnAndEnHVWYiyTyRCPx3EcB8dx0LToAduLmIOImNEFkMqaq0T/wAZl6DwGoUMQDDDhFslKigASlyBxiSCUULNrqZq6D6/fYDp+CVIdEL+SV7nBDSYgOERXfAeXsxeQhEqD0cGIdQQbH8N6CYG+0M3HCcZxnCO0x7Zw3bq6wH2s1ezB8y/fasRbiAnnLIYwqIpt4lJ2qdakQKLJXIvvnSTr7L0dp1n+APgDtMa20G/1YgeFs+aNRisP7B7l+L5jNDcn+N8/e5Q3/3ianek2Dk9dxwuLO4xlKlO8+5fu4wu/9iS7v3SdVlnQXbuLb43KjLjRJjP1RgOVise13H5SSiNtZoJRO7+aRz7IQqPeXItlHyGn7yYe3iAI8nPKn/pOjrtfsjSYTmpbIbhJjbGdYfskQVk2zIIqfQsSI0jaGsad02WsC4bSgSZAM3Yybh0q6AKWDwltHWo4TKVxF6PW4cjrGkoLKVlDwWU8kJnI0yS6FIJ6Y4b3mdAamQw1Jt3LRdeQhEZdfD3v+Zm9vOnlWYYvbMWxL2NbAbqRb7wQ1OrbsJ2nyXpniUtVCGUTYwWeh7jagU6OnDOjhxkjRkzfzqi9tJs/o29FuEfwb/E5HecpavRNjLkDuPMsdSu1DUj+GVxvvgFHgHOr70AHkmo3itxM1v520fNfcGZhSFJbjyAgJLilR+xBGCBCu4gC7FIkk4KpMQU1s7TCJYQBwoAC2r1BoDA5uZrRsa1MT3eQSp2kreUomvqd20n0W1LJCAFhOIiibsCLqMwgSfX4JaS+BNGVCcKw9DOtyRmcEs2/hv4gmhY9wH4REfECz7A+27gjge6sacQsWltbuXz5MqtXF86ovYjCiEpdgPIyumUFumF58gVhieBsAURAED9BRZXJYO4QTLchJtYjbr6SMHaNMH0ib9A7Zu+n1exhwh1n2LrFqwslQAIp//5HrMNUKrWEoh03sMgoMhNFnHwA/NBiwt5Hh7maYddlwpsJoqv1TmJiAquI5euYfZiknKFSW8tNa2FzYEqppN2IYTlPs2W3wyc+OsUT38zy879dzX0vjxG6j3JXrJm+oI1LuXxZK0FrrAczOEHbqwf4z88L/v3vR3n1j1TiuHt5aTLJuNjFt4ZHCt7phJKkPVbFiHWUMXfm+k544xybHKc9thWdfqa94hWZWmM9BFeZtmeuw4h9mjFU6syXIrl7YRG//OxJlwcenvvImkoHmqRhuzMTDdfvJS3XEsqrGbNLd3In1dUYIovj7pl3TNsYdwawg+L2pbJIkNLWYDn7cAL/1vZaCUQlU05xtypVqiapNuK7T8/4bfnnqFI7sEgz5RYOtAUaVcYmhLOXMHRwgRgyaXMXN62zeAUC/LjSREaScZwnAHC98xjIpIxd9Nln8cOlzUBJpQudKXL2HhQF3vn+JL/9y08gSwJnvAHdWFg1MeQ6UnJ8RsLwFrxgGJxhqvXtjDlX8cKx279VG9txnAO487r7Q7LgPkG1voUJdwgnGEISOlXaOlz3qSXPouUeJS5VgLKRMec49cZWHOcpghLjk+OdRyqSoV0MWaoA/wxBgf4FTYmu2SlEjLhxmoHcK/P+HoYWqrYDd55KjueZjE9sYGxsM5ZVTzJ5hsrKp2lr/Xt0fQe+u3SivXCf0QNTTW4qqJAwC989jhCJkjq6iroFzz1ccp++ewohdMKwcNUvlfypktt5EeVBMDOBexHRcUczurNoaWnhscceo7u7G0l6ftjcvpCQj8NaCOXZCEf3VxcigFCJvE5YVm5k/o5CSFwmTFyeafQoEfTa/iCWPzepEnYVoTZcdBc5bwDBEIakMOFEzxrOZnerY1sJsMg6ByKx+ZxgDCc4RGtsA0P2MG4wzep4G767H8uZ2UJ7t8a/7GmFEOLJuXvo+L1U0kt9ajdHpyeY9meCmRq9nSp5FN/7NgEzfN2f+o16fv4tV7jve1NUVCt44STx8Bv8QM1qDmebODs9V/pUhMLqZAdTznFG7Gt5GQOXs1eRhczaxE4mnaNLpObSWitxSZB1l5ZoA1xu5g5jyM3UaJUE7hyHcrDfp7ZeRhEVJLVOcs5+bH/hc+UFAxAMUK1vYNrPkfOW6pVqUhUZrRHb2b9ERMl2DmIKk5SxnSHraJ4sqyClbyXwzmO7Ty2gonr+VeAqGX07Wa8Pxx9YtK5MxtgGzmF8d+EEJPAvoQE1+i7G3F7cYOGzmFDXEGOE0H1s0TX3cZ0nqVNqcKSNDNpzMlgCmXpjE77zNE6w+Ex9HOdJapV6HLGe4VvBuUClxtiIZe/DmfcuvvK1MS6cdVn/AY2G2uvEjV0M2scIQodqfQueexzLzZ+JzzkHiEmVyMpmptwrZNR6rCK6qZ57mLhIkTB2Ifxe3CITQj8YheAAjeZLsOz/LrjcYtjOGQQaYQkTAoC42obvFm40c283q5Ue40xtI364F9ctwv0PPRyngrGxTYyNbcYPDNKp4zTU/wemef32MydEktC/XHKfMzbBJosnjouhKmuKnucsBBayehfurUx8oaXCIJqldxhOYqjbyTn5A3ZN3Yph3BNpWy/iRTyTuGMZ3fHxeR9VRaG+vp7e3l5aW1vvxC7+R6GsjG4ZgW45mpczx6ESFJmtz0dQTka3EPIGvesQfa8g1IYgeY4gNQBiLtCV7FoCY3FgshRhGUH+fPihRRDcJOuV3/w1Zh/HEHG6TBXbWar3GU8UvneOs4cNeoastAMn9AjcPfiLkuxtq3UefmOav/ydAT78sTk5Nss7y1rtAuvj9/D1IYd6swUR9jIWgUPohz7HJy+QUZtpMQxG7eMYcoZqrYlJ+wDZEo2Plj/ItdwgFdpuEvQRBJcZ7PPpbt2KJq7cLncXgu0eR0GhxtjBiH0GP5xGoFJtbMJzj2A7hbPNYZjDcZ6kUm3GE7WM3woCTaUDXZJx3OINTI57ABWD2Dw6Q0ztxsDBz3P/5sN395IkCfoORuxDKFKCSq2DwNlDWKSTww8GkYNBWozNDLuTyJJJUti4t7K4heD5fUj00WxsYzqQkcMRLHtpYKkogp/+SGZ2b+TsJ6mUW1CURrJ26YYuPxjBd0ao0DeRi6CbGoYTmEyQ9UtL5gF4QXkNUiHTGOoGrBIl/Zi2HT/PhGzBtsIRNHUdjlvYDhdAU3rw7X0IAYoyhesmUdXJW9uAnNXI2NgWxsc3IkkeFZkDtLV/Fl3Ln0nWtQ24zp68vy08viyqehdu0fMQSATRR7dgsujPirodr0SmeT6kWz0cQhhIIoMkpZCkNEJKk0q8K/J2XkSZeDGhWxbuSKDb3t7OpUsL+ZkdHR3s3buXlpaW7w6B+GcR5XB0y2vmKS/Yk1BKNqPNIiyT6nBrrcI/LQh6AbsWMbmK4Op2jEDCj1/CT5xHytUSJKJwHW/RPJYxQCw3SAbwwmn8YHlVDS8YIy3foN8pHGT/8Ptr+IlXXODE/izrd8ypGoT4+O5jvLrmLh4dK53tWYwxd5QxFzal7gb3KaacG2U15I86pxlDoSX2EIMDf0uq8hhBEWmmhfCwnD0k5WoU9R7wzuHMK62XXNvvBXqp1bfgksRy9tymKZRCiIXjPEFSbUGTO3Hs7+CXVDWZxSS4j1OrbSAMbhAuyhwXg+seISMyuP40bhmuJ7ZzEFPbzZR9OfI6jn+tqG11PkThbM4h+rYt7xxKSaODhZBKqDfIUjWSfzbSq16sWW0GGgoWwa3JSizWy3S2BVlyGRvbzMRkD4YxQCZ9hFXdf0wstgGnyGROUbpLZFQXIixRQ9LUHQRlBKaBdxpJbibwewEBwkTc/qdHNpSYhSRV09J0BVFGA/WLWCHC8EXqQpm4I4HumjVr+OIXv7jgb4ZhkE6nGRwcpLZ2qT3uiyiMslQXyvpglZd1FUKJHBgum7oQ6UAAY4DQGIDaA1iOgjzdgTK2DWV8Db5bCb6JH78ISuEyn2B59oIrCXRnsBL6TvEbYMYl3vy+av7hU8P8xo58ZgzLtooDIOdn0csQhp+PEI/BwUFMEwyj/MmuHwxhhDlyfu+y9m+7hwmlGoQo/9n0/GsYUjyCdF8eBEMQFqfT5IfP8u7Xcp7Pctcp58Ma/V6HoXUrqxpd/cAtwSGPKU0EXvHGrFl4XnFZv5i+ncB5CsfJMDGxlqmpTkZG7iKTPkomc4Smpi8jSXP3LMzDm56DQBIyfhnX3nNPoMg9zEwEFIRQQci3xjKFMA/FpzgUZOJADMghwhzM44hLyhqCMh6NROrnXgxynwus9JP0Pwx3JNBdu3Ytp06dWvL3rq4ujh079mKgWyZqEq9lOPs1grC0yLsQxV2S5qPcgE0S0R+PcpvXYHnVlyD0QPbxU6fxU6eRsvW4VU8gT3ehjrwJAD9xET9xgcDoW/DNLa9xb95xhisbVaKahRTYe8klXvb6NJ/9g0Gunrdp7V5cDVjZzP//b++84+Oorjb83GnbV6teLHe5Se5F7oAB0yEBE3rvECAQWoAkEAglgRATAiEkX4DQCUmAkNCbce+9yr3IsorVt0z7/pBcZKvsqliy2ef3E0bS3Jm7q9mZd8495z1tjRsU7w6SltEx/cs7nrZYiMWGYdj89/1KPv24nGDQQpEFilqXi11dZVFVaVFVaaM5BBOPd3DCSU5GjdVQVdGq48V6p4zt2hHbfEQMBWYAurkdtzYKq4GorLNtU6VkLH1G1PuyrCLcjsnYdrBuH0KADaapUlXZnaLtUFNzAopSjd+3lrS0r6moyKVnzzcb3Z9p7sGpjqmP5Fuwz+0BCyFcRCLRWZDtQ5F7IsxNHPoAtO/MlNUhmHr03r2KNgojMq/Jv5AsJUT9qKU5T0bVmu/2GSdOV6BdhG5qairFxYdXO/t8PiRJoqKigoSE6Az840DANZkhGe+wZs91RJpZSkr3Xkz3xHtYW/IgJbVftLjfJMdoqo0KQo341TaGHIO/qhXT0uY+YhcSNgZQL+5NJyghLPduLPdu9NRZYLiQa3qjluUjhdIwnbuxPFswPdsQSmsjum2NVrdF6LUsMBxOiTMuSeR/b+3lpl9ktOFYjdE2qVu8O9S5QrczVvjqxVJzhEM2n30cYuniCKtW6GxYazBosJPzL3aSnCph6GCadc02vF4Jn1/gS5CorrSZ8VWI6b+tZNtmg/HHObjljnKyc2KcY6wPbzFsH+uDnW6WRL9vNPyOIYgm8lZVaURM6w9OdQToM7EtiZqa3lRUDqSyaiC2LeHzbSA5aTvds9/bH7W1LJU9e05scn+a0r1ZNwVZ7o1pttwcZh+KcGM2Iz0FsTj0+DD05lsdm/pa6q6vLV3PBR7fPVEfO047E09diIl2EbpCCDweD9XV1Xi9Ddv85eTksHHjRkaOHNkeh/re4HHkMiTzX6zdcx01kYbFEgKNPsm/It13IQBD0v7Ipr3T2VrxYqP7koWbgSmPke49g16JN7Cw6C7KQk1bbCmSj1S1G6ZVhi2nE4xKGNsI5BhFYes+rAIJGwsplHqYfy5KEDNhNWbCarAFUigTuaYHWuHpWEYisnM7tnsrlmcLNNIzvvFptu2iEpszxiGHjvI96jfYycdvlzeygzZGdNt4Pd24roJevdvlMtMJtPb8FE2OrK21ePu1Wl75Sw0Dc1UmTNY47SwnuXkqfn8yYWMvpln3vtdFaw9n0GCVG2/3UVxk8un/glx1wSx+8Rs/k050smm9ztKFEZYuDFNeZnHDHX6GjTpcDMWejhPD9jG+bRFjC265N5EWBKAspeBTEqGZ4izDWE80Qs22QQ/3o6I4m/KK8UQiiXg9W/D715Ke/g2qUreaJqv5RA4yi5UkHdtSsG1xWEteTRvZovuBLGdELXQ1dUyLFmSGsYY6l+GWaylkNQ+jhSI4265AVYej682nfjicp6FqQ1o8ZpzoMU0TWY4uKHC0dyo70rTbHWjgwIGsW7eOUaMadr5JTk5m9erVBINBXK7ofQHjgEPJYHDGO6wvvp29wToLHk3OZEDaC/gcw/ZvJ4Sgb9KdeLUBrCm5v0EHNLfahyFpz+HR6kI+DjmZ8Zl/ZXXpU2yuPHz5zav2xs1eInqdEE4QARxaf8oj65ucZ0DtgU+qxcJDsV5JxIqu3Whrc2YloWDakZYdF4SN5dqF5doFzMWhZKBX24ianiiFp4Pux3YWYXvqha9a3uiqa9sjuh2bugCQnK5QuC2CbdsNiz87+Yq4dH4p554XS3Fle9OW199+751t23zyUYinHqtk6HCNl/6exMBclZoai/t+Us63X4UxzaL9DxaKCl/MSScltenPSGq6zGVXexmZP4wfXz2bYK1FUorM8NEOxkxwIAT87Mel5E90cOfPAwQSD95XbOd0tA9cQEyZC4pIxK+moeur8Cq9kORMIuYeQofkzjqUHFxUgNF8RNK2a3CoQwjrKw75OYTD6dRW96G6uj/B2u54XDo+32x69piL09FEVLmRbpIORwnhcCrOg649QvghinxZy4gu31zgg2gEsV2DrLYssCU5CyMSXVFqyw/mAo//7qj2FSd6SkpKSE9vusV0nNbTrkJ3zZo1hwldIQT9+vVj7dq1jBgRz+eJFVnyMDDtJTaXPUptZB39055Dk1Ma3TbdewYutQcrin5M2NxNmuc0BqY8hiI1jLJLQmFwyv0kOAazvOSR/cI41TkCKzwfUxyogLbscjRjOWnOcewJLW2wH4FMd9cgwpEFhK26qEeynEqtkkNFpKDJ1yRQSHcNQQ/PJss1ht2hdVh2dFXXquRHwUe1sQcpnIKR0LzJf8PXLbBdO7Fdu7BS5oAtEKGMOuG7+1SIBA4IX/dW0MpAdHKObpTH7pPrRJIE87+uZuyJvoPGtzVHt23j160oJ/ehozNtqfWv/PC/9zNPVvHtV2F++2wio8fWFe/s2W1y0zVl5A5Wmb8qA5czhTlzCvnx1WU8+nSgWZF7MEOHJ/KPzzLQdZuklIZjpp7p5oWnK7jglN3c9YtETjnbhRAiZqvBWISxjANJeFqsMXAr/dDsUnS97jNsmFug3l/Wo3RDlnsQMfciCR+auQKicrEGWXiwLJXamp7U1vShprovkUgyDscePN6NpKR+Q1JCCpgtCz9DX3NYkwWnaxfBUGYDoaupg7D0lt0ULGs7spKDaTR9fQRwaHmYkZbt3wBEFNF2IWWA2XwR3z5MfRUCHzaNW5E5XGehqIOi2lec6NB1nfLy8uiErk08dSFG2k3oDho0iNmzG7cAysjIYPPmzezdu5fExMT2OuT3BiFk+iQ/jG1bLYomv2Mwo7PeozT4LVm+85vdtrvvbHxaX5bs+Rk+2UMkMrPxaIzQQf+OLNdECoOrsDFJULuTIIUOM5A3rWIcdjnpznEUHSKMAfxqH1yiGj1SZ6CvR2aRruVQYcrUGoXNzjfNORRhrEKIKhLVXIrDqVhNRWIOwatk4VFSqTk4oiJsbFchtqsQi7n1wjcNUdsLpehkiCRiO/dgu0vAVQDOIpBaUxXflohudEJXlgVX3Z3KK08VM/p4L7K87w/ZuRfEHn28bN5okN3jKExfaOXN5FAnlKLdJv94s5b/fJlKalqdEF2/Tuemq/ZywSUubrzVixACWVJIz5AZNlJl+m8q+eKTIB6PhMcjcHsFbreExysYOlxj0OCDi1BtfAmNn2Nuj8TdDyVy6tluHv1ZGR9/UMP9v04kqxtRnxp+dRCqEkA3Clto1CCR6BhNJPINblRUbTCWcFAd2YBpN2xCEHCMxowsxmxif6a5E9Osa87hUodgtiBydd1PdXVfqqv7UFM7ENM6AbdnKx7PRrK6v4umle63epNEAGFXR/XyhdBR1KFEDmqK4HLtIhjMIjFQ5yusqnmYkflRW8nJUiomTQtdRcnBjKFozdBXA36g8UYPcpQNJQ4QRtVGYhgFCOFFSO66f+v/3+OLR3Pbm4KCAlJSGg9gNUpc58ZEu0Z0//a3vzX6OyEEgwcPZtmyZUyaNCnuq9tKoo0MOpTUFkXuPgKOXPISr6ag5K4WtzUis8hyDkURfkKReYSsJvLghI6tf0c311h2hzZh2iFk4SLN2Z9weA7GIZZNhlGAFw8e53CKQysO251H6UaCIqPrM+s+3zZgzcFpn4ypgN7Mh14WTjJd/QmH5xHR15LpGk1peCeRxrr/CBvbVYTtKsJKngc2qJHe+PQ8zMqTqCl0AHXiGNdObNdOcJQ0mx4gkJFiaOV5KLFEVMee5OX5h3ZTuC1Cdu996QJtzdFt2/hh+cksXrCTyVOiL2xsXzrhjnDQ9W37VoN77yjnR5e4CSRKXHVRKSuW1X1uHn48gbPPPXBuSCj07K3w1zdTWL4kwo5tBjU1NjXVNjU1FqXFJtu22LwwvYpTz3Bxxg9cDBvaE4/TS63QsJtZFRky0sEbH2Xw2p8tLj2zmDvuVLnwqoHUmE23LgaZNNdIrMhciFgkKb2pES5C+uFpTIqUjE9J2e93bBMhUt9G1omCpg3CEh6CkR34tG5EomiYsA/7kBUp2xYEg1lU19QJ22CwG6pShde7EX/CarKy/oukpWKYjacSuNUcDL35NuCHzKDBdy5nIeV7hwN1jRKEVRlTuoZpNOf7LZBRYmkBAUTQXGeAHQHhrPNhF466uQkHengJ0Nzf+XA8/rtQHeNjGhOndYTDYYqKimIKAsZ9dGOj3YRuY00jDsbv9xMIBNi+fXu8W1oXQxaN+a82jq4vR1K6N9JitZFtI/NIV/ugS4MQVgGRyKwmox42NaDPoptrPLtDGzHtEJJwkO4ciBGeh643vIlbhgdb3kMPB1TaPSgOH97GNNWZi2JtrutKVn/cYGQhPjkF1FxKw811RJLIcA9B0pZh2UtQAxBQ+lKpe6moMhHBLETxcYhwCkhhbHe98HXtBLUCBGQ4cvCJ3RjGJhIcY6gILyKWoh5FCpCipiFLmewOLaMl0WZZUF1pkphy4GPtlL14JYtqK7rGH4e9C61ssrGPkRNS+cNDG7ntbj+S1IoH3DY8FAs0oHUCWxGJqHISkRgD+JJw41GysOVUXn39W556rJIbfuzl+BOdPPNkFbYN38xLw+sTDR74PdoQFLMYj5ZDrS0YOmIDQ0c07k96x16Ll56r4smHdAo2LGbAgOWMGBkgKS3A6rU72bRe5/IbfJxxbsPGCmn+Udxz52p+eGaEB35WyL/+WcjjvxmPoRZSVVtJv4EqilI3J4ecQaLiwTioUYdtbcZlS7gcY6mIrNpv7+XR8pDM7UT0ptKIDCL1ObMuOZtIlEvyUCdqq6pNQtWjqa3tQW1tdwzDg8tViNe7kYz0z3G5dh1SGCbjkLOwpQSoLwysi7ILEE6MKFIMDkZYITzagWJqpyLYtrUXHm0ESAEi4W9i2p8kVBS5B2CAbQAW2EZdgaANttn8ytZh85OS8AQeQ5ICjf4+WP0SRiR6yzXVeUpc5B5BNmzYQE5ODuvXN10HE6dttJvQlWUZSZLQdR1VbdzbdeDAgcycOZPMzMwmt4lz5JEPiZi0RCwtig1zEz4liQo9uot3JDKHNLU3pjQIydqIUZ/icChmKAPZWUTE3ImLInI8Y9lYsx4bC4+SQaLqIqzPbdSYx7RKwCoh0zWGkvA2dKu6we8DWg5eqQJD/7aBLA0ZG3EIhZ6pY9geXIxlz63TgIYLgt3qxG/5MCQ9GZejlrBrBba7Cs1dis0c/Go/dARBvfl2wnUtb4cTMJcjGTPxAsmuwWw1BNX64YIewDRtnr57F7mj3Hh8Mm4lm4DixDK+4CR/EsX2GGZXRN/1SBYKed7uhPTlaGoeCjXUGluiHm8jSHIORxmzDUXz8dWnDk4+PfruVwINn2MkRJbhd4ylOrIGy258abYxXNoQHHYZwqrCVEZTGl5MdA8ZgoBjFLa+BjMyG782nJBZSqR+Gb05fNowJGsXRmQWtm0z43MF05D483PVvPKXGo6b4uDhJxLw+Q+szEjCT4I2ACMyv252ViEOJNzOMZRH1mE2svKQmpzFE48lYegrCQadrFyhs2RJiJKSXZx6Yj+CU8r549M7OOVsN4oikCUfKVofdH0eNpDTT+HtfyTxj3eDXHHpTLweGc3hZNeuagYP17jhxuFMnVKG0UhxlRAW6HMIyJmERV80yUUkMjfqCKRh7kCR0rCsw4tILUshHMwiGOxBqLY7oWA2lqXicO7B5y7B71tLRvrn+9vvNoVDy8fSG0aMG8hguQem2fjn6HA0ZGox9YY+8ZZ9KkZkBUJyQUyd3QSK5MEyDo+wivr/SOpojBhSF9z++5sUuQCa6yxqKx4huidWBY//waiPHadt1NbWUlpaSl5eXmwDrXhENxbaNXGub9++bNq0iQEDBjT6e1VV6dOnD+vWrWPw4MHteeg4bSBmoUtsnXBitdcyzM34lVQq9aYrlM1QOrKzzvbMxiAcmUU/9wCCZBOOzCWst3zjCUYWkCCnYqkDKQuvxSknk6qloutzMZq4b9sY1IbnkKV1J2h3ozSyua4bm68Axb+TXq496OEFGLqHSG0PwtU5VO05EcvwICnVqM7duH1jMJTFSI6tCLnhPP3aYFJEMao5s8HP3dZKBgqFUvdEtgXXYx7SgWnn5giLZ9bw1qyRZLpysCJzsIw6mW9aZSTxKT9MGsTyYAabgmXNvi/9PT1R2UZ1feStPFKAQCLNmU9QX4dhN2/L5lX7YiMoDdXlMJ5/ZyK/e3QXU844B4VF2I1Usjd4rdpwNGs3tj6rrhhQn4NHCmAr+VSHF9FcYZQiZ+CVM8Coy0m0AUmfS4bah1q8VOpNR/FdSh9cQqAftKwe0ZciodWL7ZWYVjWmyf7IJ4AipeBTszH0xfvlnhCCl/6qYllplFcMwR3YjkV5w/dJG4FsbsM4rCWshRmZh18EsB1jKA8vZJ9ISXCMwTZWYuh1hUUul2BMvsaY/H2fySKE8PDhu4l89p8QF104Cs0uRD/EpkqSBBde5ObCiw6s5lRVj+SJX2/hkw+X0z3DTXm5jWHa5Odrh1udWYU47DLC9c0QYkFVelBbW0Uw2L1e0HYnFMpEYOFw7cLl2k5C0nzSXf9ClutWIjzaaMxm/nb7UJR+mJEFzS4EyHJW1ELXqY3CbCTNwukoIRROxuUsRlWGoRtLo9qfQxvbctFaDJ7kijoCh/viZreR5SwULTrx7PBcgqzGasocpzXYts2yZcvIy8uLLZ3T7nQznaOOdhW6AwcOZO3atU0KXYAePXowc+ZMqqqq8Pl8TW4X58ghi9iEroihY1r9iBi3b7m1sRlOR0tY1uBnQX0dimwTijq6AoZVDFYxPT0nEAnPRtc3RjUubGxHYgc93fnsDG0hy9ETzVyHHqkTZ4oWQdH24g4cmKOpe9FDWURCmZiV44mEp2EYBrJWhsNdS6q3Gr8xG9mxp9H6NSEMUsxvSXCks5Mh+/OZd22J8PUHVVTtNUmkClv/rtEbvWGsIVddx0DXJL6rCFNlNhScmY400jWdysiCwyLhNhZFoWWoko9kxxgqQ4vhkNa6DikZt9aD0tByDo4eDZvkQ5Lh0wVLGDmqF90dXvTI4f6gmtwdt5yAbSw6PPZklyP0ufjVPkTwEDpkmXxfBFjSF0MjLWJNcxMOIMMxkr16MWHrwAqDJDwkarkUFc3h6wUhFsyLsKfIQtPqvGw1h8DQP2FjgcT69RFs2+C5vyYxcoyjXniuxmii2EeSbJISlyOEH0kdS1V4AbJIxK/2xNAXNSsRbbsc9Hkka/0J2x5UycTQW172t+0abr/d5M6f1JLTbQHjxkf3YOrzrqNPb8FLL4VZukwnkCAIh2327LG49DI3l1zqIuVgVwcRRpP7EzGaXnK1LJVIKI1wKINgbQa11d0Q9ERIx+Fy7cDp3k5y2hc4nIVIUtMPMFYUD8tCOJEIY7fQ8vlgB4XmUJUBmIc9hNThdu6mNpSBy1mMkKJ7fyUpDctoWaybjTg9NLFHPIEnohJJmuvsFoWuEF7cvpZrNeK0D9u3b8ftdsdWhAbU5bfElW4stKvQ3dcK+Ac/+EGT2wghyMvLY+XKlYwbNy5emNYFkCVPyxsdROxCtzUfyubHmKE05LTDlz8lqXWntGzvrcsTjgmb2vA8+jpHE47MarF1pqxWI6vrcfrWA98C4FBHohpJUFVIbTCDHWWnEgylAQKncw8eZyFu907czkKcjjKEsFDtInpRRIprFFv0GtYt2MucT3bx2xeScDiraP7BwkIyZjDFF6DUzmd2xR7cspv+niQqw0uojDQfndOtKnYHl+NT++CUZGr0tQhUEp3D2BteQzC07LAxQgj6DXOzeXWQfsNKWW2UkuHIJ0kqRTc2IgkPPm0wdmQ+tr2l2ePb5iZUQHOMJGgUoZuFuLQhOO292Hrjri8HY+qL8eNAOPPZXbOcRd8lMuOrjcyf+x927jQZMVIlf6xG3mAVXbfRI6DrNgg47QyFAQPdbFiXwU1XrmbVmklYUQhPANuuxIzMJUHLwzZ2xFQMZRrrcWr5hCPNm/gfzMSJDn7/bF9uv3UxAwcqdRFZAT16yNx8i4e09Maty268KZEbbmz42Vu9WufVV2qZckIJ11/v4fafHHgwVqQkwjYYhp9IKINwKL3u33AGhu6noiLMhvU7KCjYTsGGlRQW/g9FrWDScdCvv8LmTSY33+rBJTUvZG1CaOoQIvoaDm2Huw+HOgwzivxbQ18bhZB0INnBJlMyXM7dBEPpwAosYyP7WhA3h6ZkY9YX6DWHEBEkdQhGIw+DDWbouQwlyqYNDtdZ1FY8THPRd6fvFqQmrCvjtC/BYJBNmzYxceLEzp7K94J2j+h+8sknLW6XlJSEw+Fg9+7dZGZmtucU4rSCQ312WybWRg+tafXbwu8NL0I5/EYlaF3ud+ydog4e2xrLsTrC+mLSVD9SYC/JgeX7f25ZEqFwGrXBTKprerCndCzhcDI2AlWpwuUowekoJt0V4KTjyvnrUxaTT3RFXfBlWeUk8hlnJo1jQ3APFeHo25ICVOnbqAIyXOMJm1spCTVvX9Q718Xm1cH93+8Ob6YIiX6eU/CbC7H12THVndn6Ypy2A5/reKzw1zGdYbt31/LmW5/x1lsGmVlbOfUMJ9POT2BQntIgJaEpEpP2UFtrYttrY35Qt6wyaCH1ozFaWuFojClT0vnvJ8ksX6Zj1weB5s+LcOrJJdxzn49LLju8CNW2Dz+Xc3NVfvWIH1WRMfRMyvf2JRRKJxzKoLqmN6WlU6ip2UtxyS7KSndSUzuLUHgXwWAF/3g7yPN/CXDllDrrNFmGlStczPxGYuaMKsr3Wjz9m2ouuczF4oU6GZkSU05qWEDo0UYimeuw7Vo0yY+s9MeyTSLG6v1pMKo6FCNKiy+Bgaz0R2/GcsupjWjWx9btLKK8cmDde2aVoSgD67uUNY6mjcJsodtYQ5qPSgspCbf/vqj3JsnpKFp+k53RJCkDl/eGGOYXp7XYts3y5cvJzc1tfa1SPKIbE+0qdPv378+6dc13rtlHbm4uc+bMITk5GU2LLeczTvsiCQ/RRCT2EWvObetEZNMXett0IKRwozc1qZXNGSy79d3P2tw5TaiHvfWSZOF27cbt2k0KB26Qtg264SMUTiUYSqWmpjeSfhq/+tWFbFnuJCExgqIVozpKUBzFKI4SVK0ESQnSGJZVhm7FGsk+QK1RSsRsucitd66LGR807JhnY7HXCOKnuIlRLSDCyHZ1TGfX1q0GZ55VytlnOXnjjdH0yGneuL8xamtsXC65dS4SrewG2Jr0H9sWpKbKnHTygWMOH67y2SfhxjsA2hLhiI9IJINIJImqikR2FyWytyyRcNjD+PEWvXqXEgwW4XQW4U9YyWM/2YqsVjNipEogUaJXoiAUsgmHbEIhhf99kUJO/4a3maHDVCbkH0cwMo+9e4P88MxSZn0XJiVFwu0R9OuvIEmCrG4yCc4JdfZm9R8Q267EqM83VoQLRR1JUbHFpoINVFeHsSybSRMdOBzNv1/NrUqpyqAWfWxdzqL6iG4dshRo8nFXiASIuvitDjOyGoQHmmi64fY/0GwBWmM4vVcTrk1ACEe9BZkTQd2/mnMyog02iHGiZ+fOnWiaRlpaWut30rYeRq3jKF58b1eh63a7CQaDh7chbQSn08mAAQNYunQpY8aMiacwdCJCCBTJj2FFG2mK8WmyFSKyOf9YM5yK5GxcHLW2rXBborJt7Zxmx1DcJwRoahWaWoXfuwlL2oyslyC2hLj33nLe+V9PBKkY4bqvUNUg9HAKtukCYaBoe5HVCmS1vO5fhwdhKthqVauaYUT7ENM710Xxrggr5lQxZHzn5eb/5jfV3HC9h9tv96KofqqjT+cG6qIxT/y6ihNPSqd1d5vWPYi1Jn5zqO/23jKFu+7UuO6GsZwyNYt1qxPZuzeJcCgJy3Jg2yY1tWVUVhRTUFDE5s1rCQRKGT6iitNPN8jMavjZKigw+PSTEkaNcbNyhc74iRqnn9W8WBLCiU8bghGZgVN46J4+hrnzbcLGWhYtKOeyi8u4+EdlhIJw5hnZ3Hf3TNIO6RBn2zav/L2WmbP2snTZVqqqLfr2ceDzWVRU2Dz3fA1vv5GE09n0PUURcp3YQwYhA3LdtUPISHISelPVqPXIcgTL0rDtfQ54Eg51YOOvWUrHjHzX7P4ORZJ9eJP/gRAehJABpX6eCgIZIUVvCbkPh+ssHK6zYh4Xp/0Ih8Ns2LCBSZMmdfZUvle0e7uirKwsCgsLycrKimrb4uJitmzZQu/evdt7KnFiIDf9ddYX30qoWTPzOpxKLyrDC4j29tsaEWk3I47NcGpdwVYjtLbdblsiulZbI7qtjvJR78MJE09w0quvwluvFnP1zWEc7sMdK2xLwdADmHoCZiSAoQeIBLujhfIQug/s+mU0uRZLqcJWq7GVKmy1qu5fpQpbqTmk5De6c8Dplrn9qZ784e5t/Pbf/UlMU2MY3X7MnBXm4YdbL7Rfe6WWpUt0PvrfCCCWpgN1CKTWidYmfm7bAtN0Y+g+dMOPofswDB+67sey+hIOj8LQ/ZiWTMGGWiaML6a6qpTHHt1NdfUWAol76Za9l4xMA0mAJMDjE1x8iUK//spBHfYOP0dzchS+mZFC4e5BLF22lBf+UMN5P2pagKlSFk7Ztb8oyrZr0CN176EDjeMm5LNli4JulqDXyPzumaVMOqGWf/8jmbzcA0u8H/03xMuv1vKT27w8+DMfvXvLdZ289CV8+12YO35a3qz7kqoOrS8yswF9/0m4rxmNbUWXp6qq1RiGF4fTj6kvRdD4qgliN3XvX/TXCZf/IRS1f9Tbxzk6WL58OYMGDWqTvaqwO6lhxFEci2x3oTtw4EDWrFkTldAFGDx4MDNnziQ5ORm/39/e04kTJV5HHsOy/sPG0gcpqflPo9tociY5KU8ScE0m0X0CG0ruabGfPezLm40+NQLAbsZixwynobga9zVtTS5jS8dreWzro8EAdszFfQcQBwn0u34R4Mof7uHMcz2kZRwuTIRkoDpKUA9qm2yL7uwOHTR/GzBdSIYPofsQhg8plI7QcxCGD2G4qYtK2iCFsRQQ8mCQgyDXghzEVoL13x/4GZLJsEk+pl6YzDM/2cLDr+UgK7GdE21F120qK22Sk/c9DMV2rsyeGeaFP9bwj38n4fVqROFgdzgtPIhZtoRlujBNJ6bpRtd96IYPy8ojFM5C1/0Yhg/D8IItQNgoci2KWoWiVKKoVahKJR7vJlwuA4s5KEoVZWVhXn65mj45Cnm5ChdcrB70Pmj1XypSFI1gDqAxeOA4BvWZx8jBPfjj9HVEQgPQnBs4NNrtVochzC2YjThi1BHB0Jdi2zZOdQROzzJOP9XJ+x8E6dG94bm8t9xi6BCVaee6qK62+PqbMMtWbGLhojIWLIzw/B8CuF2N/22FSEBYRc2uGFnGBoRIwG4hl9rlqEtfcLkdWFYzPuF2JZKSh2U01VCjIYrjBBzu86LaNs7Rw65du5AkiYyMjLbvLJ6jGxPtLnQHDRrE2rVrOemkk6LaXpZlRowYwZIlS5g4cSKK0u5TihMlsuSlf+qzJDgnsLnsV1gH+Z2meX9Er6Sfo0h10bBkz2m41L6s3XMTIaOpQiZBhu8yeibeQ3loPutL7sGwyqOcTTM3onAqcqCpwo7WCV2zLUK3zRHd1p/z9kFWaj16KVxyjZebLinmiT8mMSA3mpSIQ0S6AJQglhIEZ+NR8/oDg+XAI3pg63vBcCNMF5guRCgNTBeY9T8zXGDXiZULz7AZ27ecXV+H6JELtaqHXVIASYrUf4UP+v/Dv8T+/9cP6YbVMsUlFslJ0v4oZazZUk/8uorHnvTTvYcCtsCyVGxbxrIUbFvBtmVsW8GyFCzLiVkvWOuEa93/23Y6pjF5//em6eTgc1ZgIctBZDmELAdR1EpUpQqnK4jmWFUvaKtQlOoWX7+qeQlH6vKiU1JkfvN0QrPbS5IXCRsris+oImfjkJz7C7YSfKVccL7GuWfM5G//15ucgXnoVpCQvga/YzRGZF6jaS6hkM1//xeiptpm6VKdr78JI8TnnHiCxqLFEX71kB+fr+HDwcQJDh5/sopzf1TKsuU6w4aojBpdziUXunj6yQQyM5teIXGo/TCbKUKrw0RWczAizUfsXc49hI1xWMabLewPRLQFv8KNO+HJ6LaNc9QQDodZt25d+7ksxIVuTHRIRPedd96JaYzf76dHjx6sWrWKYcOGtfeU4sRIuu9CvI7hrC++DdOqpm/y4yS6TzhsO7fWj6FZ/2ZD8U/ZG/yqwe9cag59k5/A7xwFQLL7REZk/Ye1e26jKrK02eOnuM+kb9LPKQ/NoaD0l5iH2ACZkWQkrbTRsVIrT2nb1lu9MmPZRiszL+uP3YbUBXFINPn62/1kZcvcdGkJN9zu56KrPC3kv5u0KnVCAHIYW6kEpS6a1dil93A/XEFigsyjV+zigT/l0it1AF5rA5al1X85MAzfQd83/QV1hZS2NTUqB/XaWptfPmSyeo2MwEZIbiz7RMDaP36fWK3vG7v/BYTDNjfdaNIzW6FgzT5LvgkIyUAIA0mYCGEgJBMh9HqhGkKS6gSrppUiySE0rQKZDUhyEFmq2yYawa5o4wlHoiv03YcqeQij0JQd18FoygC8hBDmHixtOBGchI31dS4Rh+DSRoGxHtM4sKoihODJxxJ4461azjhrIx/8s5y8XBWn2p9IZM7+7WpqLJ5+uprRYzROmerg4V9VsnKlQV6ewuAhCj/5iQfbhhnf+sjKLOacsw5v4dynt8ztt3rp109hwngNj7vu0yek3thW04WRmpaPqTdv2bX/9UTxiXa7LcorwpDU8v4sI7piNJfvHmQlO6pt4xwdWJbFokWLyM3NjRfedxIdFtGNlV69erFgwQJ27doVddpDnI7Dow1gaOb72LaBIjedUqJIfgam/YXt5dPZUfFHBArdEm4iO/BjJNHwQ+1Ushia+TZb9v6WnZV/O2xfTqUHOcmPkOiaDECa9wf4HSNZW3InVeG6CK5tA5aMOMRcXhJuegRuJdN3Bd6K/2Nz+Ysx5QbLqCDcWId0HIuGtqQ9APVFJq3F4NAo9pnneRgy0sH9t5Uyd2aIh59KJDGp8WOI1grdemIuxBM2/lSDPiPDfPvZKnJuTcQvWjbRbwqnNgY9ynapb75Vy4wZEc45OxEQKOpoqsKLAYFt14slYdZ/NRSfv/ttFbpuc+a5dZ8Ft2M8+kECLlpUpT9Wk8v3jSNLibglN6aUjmEVRbW9X+2LHfmWgNqTIC7C+somtpbwOsbhiCxFCAMEyMZqXIDTlrDUYejCRcjYQDBYwY6t/cCch6qCIgtkBSIRCAZtgkGbOXMj9MtRyKqPqlpGAUJ4sO0aKistzjizlMGDVX72swoeeEDQr5/M668lEgg0FJYD+w/DbMKjWAjBLTcdHiGVlR4YkcaFriRlYDfSdrcpWvbGlXC7wxQWRaFyAdsqRJJ7Y5lN2/jJ6jAcnmuinmOco4NVq1aRkpJCenp6yxtHS2e4LhzFtLvQTUlJoaSkpOUND0EIwfDhw5k1axaBQAC3O/aq0jjtixxlZa8Qgh6Jd+JzDEdTsvBoTXfGk4RKn6QH8TvGsKH0PgyrEoFGdsL19Ej4MZLkaLC9U+3OsIx32Fb+R7ZVPI9tuJDUhhHeFPcZ9El6AIdS58ncN/FWUt1TWFn8M2r0Dc3PHYVurjzQl4LwEZZ6UxWJLpduH341C9vSqI2yq9qh2HYbIrrCBlQOjdr16KXwyj/TeOF3FVx0+h6e+UsyeUMbiSbYBsTY0vmQHbRq1KSzAvz9yV1cc2sbDh0jb78d5LZbPfXvmY2QTKQonSY2bzJI3t8VTNRbMcWWY6zIvVBRkbTxhPTVLeaAAri10ajmdoh8h1+4MR2TqAwvwCbcxPYjcFi7sOsbE0jmVjyAQxtDjbEN8yChLEup+OUsZH1hoxk/QljI5hpkwGEL3v5nOk/+9ltSUyRM00bXwTTB4ahrRexyCfrlKPzyQR8rV+tkZcpkZEh4/L3R9ZX8819BBg9WefFPAdau1XG7BT16NH4LsmLKFa5DEh4cjvHU9Y2uj9DXtygWtoFlHN7MpClsey+S0g+ria5vipaPiCwgHDkh+vnJ6c0IXQV34Kl6h4U4xwrbt28nFAoxePDg9tupbXdOMdpRTIckxPr9fiorK2MuLtM0jaFDh7J48WImTJiA1EK3nDhdi0T3lKi3TfGcglfLZVvF82T7r8Ot9W1yWyFkeib+hIBrIis2P42k1T1IuZQ+9E1+mETX4XlPfkce47r9k4K909la8QqNPQKnOAbgsYvRIzPrfmBXo1qFpDrHsTeyCcOqbPY1+NVeJEig6zMBmWRnPnvDq6OOCkvCS5IjF4dViKQOxdSXtzzoEBzqcNIVjaLw4Uuyqib4yf0Bcodq3HtzKW9/nI7P3/Azpch+HJKHcNTWcg2RhYaNhmnHVpmVm++lutJkyTfF9D5BQ4jYK7skkYgk/IADmhB++1izRmfXLpMpU+oepGSlPxWmgVMbX9+OuHlh9ctf+Zk8rpif/zIXl8dHVegrHEoOinBgtFhkpOLSxiAiixBCxzbBIRKw1XGEIwtpLLVAkgL41AFwcJMBuxZZn0+SkklISqXmoM5ZQrhI0IaDvqBR6a0YS/DjIuKYQE14IU4tD7e5E8lsusnBwQhhs3ZNCZde7OKB+3wIUeeX+9obtWzfYRKJ2NTU2Hz9TZh58yOkpckUFpoUFppMm+bkySdtXn89yCO/qsvxHziw+apzw9gcwzqDhKaNxY5823T8VR0V9d4AhAjgS34NSUrERgfbqMuHtw2wdar33oYQFjbSQRZjLcxS7o4n8UrqHo7qOnjUCXEbSU5DUXNjmmOcrk15efn+7mdx+9TOpUOE7sCBA1m7di35+fkxj01OTiY1NZVVq1YxZEh07Q3jHJ041Wz6pzwR9fYJztFkux+hMPJfsgP30C3hmsPSIw5GEhr9k+4l1X0Sq4rvJ1ifJ+eR00hVE4joCxuVN2ZkLglSKroyjMrI4VEgTQqQ7uiBHpmPbu0T0CaRyBz8cjqWlENlpDnRKhFwjMJnbUAy5tQZHVigqCMxzR3YVjNFYPUoci9ccgrCWIkDSHSNYIdeRnUj9nBTz3SzYHaYJ39RzmPPJtW/N26SHMPwG0vp5qqigHw21qzBijLdQ0Ih2z0QjzkPVXYTEgPYFow+h9Sj+vjd9HHcdcsMJn4xmG6pPaLOnwQJl5aPZazBiHyFIqcjyd2JRBbSWIR1/vwId91dwbXXelBVP4YymF2hxYBNBeCSu+NXAs12ylqzGkaOSkLRiojoddZtYaOAMODSRiCsYkzzcEs3VemPhgn63IZRU7sCoc/HpfTEED70gx5y3NpIVKuwocg9eKhViMMqxKkNp9qqRAgHLmqx9aZTODZuNpgzvwRJfI3D3ROnsgCHJhjYX6VHdnS3gVNOkLnvoRCzZkc452wnL79Sy4ABChPGaWiaQNMEt/3YQ/9+B0RscYnJ+Mk7GT3aQyRiM2FCdKsHllWGquZhGS2ktQgnmpqL3WIr5tiCJu7Ak/tzZRuTKJrzBELVy3GoFUT0BBxa8w+KQkrHlfAwktR8QWCcY4NwOLy/R0CHFNjHI7oxIWy7/d+xZ555hpSUFK644opWjbdtm8WLFxMIBOjbt+lIX5zvH2vWrCExMTFmixbTqmV96W+QzLWYkaaXfg9FVsdQru9At/YiUMhwDQF9GfYhBXKHoqkjqdQL0a2GaTweNZeAVItiNpXm4EbRhtb3uT9cdAqRgEcbgqQvbeT3KiFlOFtDSzEOsX0LBi0uO3sPvfqq3Hp7PicOr0a2GzbdqKEXq80eFIaaF6ypzgGkiK0Iq+EyrKYMpMR0UxJpuvBGIJHj7o/DXIplV/DUY5WsX2tw530+hg/LQ5MEVjO5lJoyCFnomMbh758k9wOhoOt14qimxuKJJ6v5+OMQv37Uz5nnTKYosh29kQIrAL86EKeoxTAadkvT1Dzuu3s5PXqFuPZGTxMzU/A6RmPoq7HtSoRw4tJGQHgBQrScUCeUoRh2CLecCHos/rwKFhZNFZxV11ic8oNiSstMJo13oCqCYFgiEjYJh22WLI+Q00fhwvM8XHOZt8UWyNWWn48/3sH7H4a4+EIXJ045vFjsUF58yWD6cyX85HYv113X1Pt3MBouxwiEvhAh9wIpHdMqwjQ2NdhKSEmoUhq22Xh6QcNtM5otVGtwdNf5eBKnN7uNEZ5PVel5FGw9n5SkpQR8zXfY8ya9iuqMzokoztGNZVnMmTOHfv36xdT97KWXXgLghhuab8Wc4MpkfJ+r2zTH1lDi+oyFC6MNRnQtOkTofvzxx8yYMYMnnog+WncolmUxd+5cevXqFS9Oi7OfhQsXMmDAAHy+2E3/DbOMdTtjXyUQIoCijUQ112PE0MpTCA+yOpS9oUVocgZJahoOoyVrozokuRdCuDH3R7QU3I6xKEYBtJTbKSWzV/RgV2ifKX4dVqQvn75TyJ//vJGsTIXbb/JxxlTXYa1sS8QoVoYtKvWGRVNeJZNumoxsNlf8JdC0MWwPl1NjNBSUmY5epMolGAeJ1EjY5g+/q+Lzj0PoBpw41cHpZwxhfH4ERT7gTSqJJJxqTn3718YvWZZls369waw5qXz77S7mzqvktFMd/OqRXJRAKuWR6JbpkxwjkM0t2HYIVR1AbXgex40t5tW3kujTt/nojCQS8DqGoxibwGrc67kpHFo+tGh91RAbpYHF3KG89nYNf321mi//k9ZAxEpSFli70XWbr78L8eTvKzjpeCcP3h1o9ni6koden/8bCxGrO7C1xSVcSUrCqWSBcfjfSkiZIPfAssqx7BoULGwr+sI+IWW1uL0kd8ef+hlCav76YtsmFbuHsmP3cCQpQmZq04WJmutCPIm/i3qecY5uVqxYgdPppF+/fjGNi0no9rqqtdNrNSWez49aodthqQv7/mitRZIkxowZw+zZs3E6nSQlRVfdGufYpra2ttWFinILN6+msO1yHFQTibFfvW3XYETmkOoch0tfijAOX9puCsvcAoCsjkYRAoddEX2kzyolkVISXHnsMkLUWpWkqD1wy4vpfzXcfHkWH/6vlqf/UMnPHynn1JNc5I/SmDDWQWaGQoq9iONUhW2Oyayp3QbYdHf2wGl8B2ZLRUI2kch8MiQnkns0m4ObcUpuejv9mPo8jEMCj5pDcPcDfu6630fBeoOvPg/z28cXs3WLyZ//byIT8vfgdAzC0ldj6Ps6atmUllkUFlrs2mWyarXOwoU6i5dESAxITJhQw7Tz3Pzh2dPwJnvYHVqCHYm+QLYsvARJOAgXuwmFZlNVZeN0Cnr3aTlr1LIrMKxalBhFbh2tqUnQoBmhmz9K4813BROnFvHQ/QmcPtWJEAIhp7N46Tb+/lY1BZt0tu0w+Mur1dz/04TDHnwazFDE/tlT1ZGoVjm2PAHD3IturKOxhxVF6YNGuFGRC3UpG1iFCEBVx2Hpc2OahyRnYzYrdCU8gWdbFLlQVzegOCbjcmymorpP09vJWbgTHoppnnGOXjqk+CxOm+kQoduzZ0+2bm25lWxLqKpKfn4+c+fOZcyYMXi9UZpuxzlmsSwLWW5dZbIQKkI4sQ9qhBEtMdtoHTzW2tuqYisAU1+IW8uHGEU2gGSsJxuJkJSEMBbvTzZUFMF553g492w3C5dE+G5OmPc+rOWnD+7l4/fSyB2oIQmDXvbXZLqS2G7JYH4VUy8O2w5h6jPJcfZCtrZh6s0X6Akh6DdApd8AlRtv9TJvdphbbpjFm+8ex9D+c1m12uCLL0N8+WWYFSt13C5BZqZMRobMgP4Kl1/m5tnfJ5CaevC5sZRd4aS6YqIYKSmu5bTRdY4d+eNUppzkOAIFJa3Zf/OX8AH9VP73z1Q++zLEw09UcOtdexmSp5LdbTmffL6H22/yc8YpLnL6qHTvJjcrcgEku4k2t41vjaaNxYrMQwgQ1hZUQJHTQOmNYdWg62sAA00bgWwUANHa+zWfOtQ4zZ8HTu8tKI7o60pU5wk4HQsoKm16jCfhKYQU7/j5faCsrOzIFJ/ZxHN0Y6RDhK4kSciyTCQSabNBssvlYuTIkSxcuJDx48fjcDhaHhTnmETX9TYn9svCj9EaodsKsbSP1lglNaBNlkMWkhCNXheFEIwZ6WDMyLrP1BvvVnPp9SV88Fba/gIlB2UIW2t1o17TqkBqhTfx2AkOfv6In8sunI0iG7hcgpNOcnDXT33kj1FxuzvWkcXrk5h6mo/PP6liY4HJT+6KfjVAtNDmt5mRsY8QSov3PCEEp57s4pSTnBTutlixKkLBZg/335kRdSHaPmTJj0ObgGHtwTSazksVIoCq9MDW5x3mSCDsEtBLUAFV8iO0kVjhb2PqdGfpmyDKZhj7sK0KHJ6rsO0gthUEO4ht12LbwbqUCd9dUe8LQHWcgNPxM0LhxlcbNfclqM7jY9pnnKOTiooKli9fTn5+/hHo7mrHhW6MdNhfJCcnh4KCAnJz226ZkpCQQG5uLgsWLGD8+PGtjujFObppS9rCPiTJB1G4GhyK1ZYWwa0Q1g3GI1rdtQ0A0byV0z4uvcDL3nKL48/YzVOPJnL+D+oKhwQqNq17DbYdvRA5lNPPdtGrZx5p/vX07XNkW4NrDsHlVwco3hPizfeSWizSahdacwihRm3lK4QgK1MmK9PFaXICwowhKioSkJSeWJHZyNS1GLHl7thyNoZVhmGsZ99EZCUH2a7FNppqUnEwlWCsjbmdM9QiKf2b9Llt5AXgTvg1qvO4GI/TNJKcgT/1DVhfiifxz2BH6q3I6v51uH7UbseK03WpqqpiyZIljB49Ou7/30XpsLvH6NGjmTdvXrsIXYC0tDSCwSCLFi1izJgxcV+67yE1NTV4PNFUbTdNq/N0m8mDbHFsG4Vu63I3DyBQoo7I3nqDn4njnFx9SwlffBPiqUcTkdwKVqsDCGbLmzTDqNFJaMaRFbn7+PyTKo6f4ohZ5Lb6scRu/9SFphAigKRlYxlboQU3AiEPALsc6xCfZ2HtRli70QBVzsKWe2KhYEXmY8eQqmNbu0GkgB1boyFJJEXdIMrhvaldRe4+VMdEVPU7JHX8EYjkxelq1NTUsGjRIkaOHHlkUyvjEd2Y6LD1v5NPPpkvvviiXffZs2dPfD4fK1eupAPMIuJ0cWpra3G5XG3ah9RaoWvFkpvYECumvMbGaNtDnRCx3YBHDNWY+WkGsgyTTt3NFx9Xt/rzZre5V2Xnfc4//V8Vp57esn1We9GaZ/dY/7agIqvjsI1VWJF5YO1GKP2QtLEgHd6iVFLHYpsbsVtoPSysPUj6AhRhtiofXVa6xzzGjvJzJavDcfnujXn/0eJ2u6mtjT09J87RTTAYZMGCBQwfPjzm5lhtRVj2Ef86mukwoTtkyBBWrFiBZbVvU+aBAwdimiZr1qyJi93vGcFgsM1LQ7JondC1rNZHZW071KYHcLuNYk+0Iurn9Ug8/3QyT/86kRen7+byH+xh7sxWvAd22yK6nSl0++ZorF7VmpSV1j2YtOYckeXuqFo+iJZvtELORpZ7Y+vzG/auMDbUi94ihNK/XvT2QVKHYenziCUPFqs1RWJAM41fmqLOV7eFNDbhw5P4PCLK9J3WEBe63z/C4TDz589nyJAhBAKBI3vwfcVoR/rrKKbDhK4kSQwePJgVK1a0636FEAwbNgxd1+OR3e8Z7ZGjK0uJrRpnRV0N3hg2iNZHott8hscc9TvA1Cku3vtkKJdf7+OJn5dz48XFrFgSXbMNADsWkdTFKC0x6NnryNQDCJEIQkM0ElVtdHspBYc6HM2Yj8NYjgcLpzYKRRsNjViAydoYMPdim803NrCN9XUuCZIDSz+8K2BL2MY2WiP0bWtvjCMETt+PSUifgyvhURRtEo2lcXgSnkBWesY8n1iIC93vF7quM2/ePAYNGkRycnJnTydOFHRo6fLUqVPbPX0B6sTu0KFDAVi+fHlc7H5PCAaDOJ1tW0pOT/wlid7Lif1mLCG1MhoMtEnotl3qtk2sybLKqWe7ee/zdE49x8U9N5dxzfl7+OtzlaxaHsFqdlnLxm5V7umB8Z2Badps2WKQnhnbeyfLPQjZAkOJ3kdT0UYhCYEe+YaIVYJQ86GZc01WR+EEZPNAe1whDBRjFU5jJR5UnFo+ijoCISUjq6OxI4sQRJ9CYxut8QEGQTWS3C3mcZaxhTpP4Ghw4En8Iy7frUhyFk7P1fhS3iYhYynuwLOozjNBeNBcP0Jz/zDmucSK2+0mGGxrelKcowHDMJg3bx79+/ePqetZuxOP6MZEhwrdk08+mc8//7xD9i2EYPDgwaiqytKlS+Ni93uCJLXtlJUlL1lJT9Ir7V00pVcUIwQBz4/IyfqOHhnf4HGdFvMxHepgNOfkmMfto63ntmij0N03XlUF513s5YNvMrjmxz72lln84s4yTh5dyP/9sZJIuKl5do5LipAycauxd1VUpXQS3cNITtGIRHKiGmPbMqo2gVqzhOrwPPaEV1EhD8OUejc9P5GIqo3C0hdj2/simhEi+hwMbIQ2FjhoyV340bQxOMwVCCqb2W8YxViO01yDSx2IHWO3tToqo44uH4rUinFCuHB4rkTIzf+9hAjgTX4TzfWDRo4bwOGehjfpzwQyluMOtL4zZyy4XK54RPd7gGmazJ8/n969e8fcgr596QSRe5Trqw4Vut27d6e4uJhwOPqlzlgQQjBo0CBcLheLFy9u93zgOF2H9vDQPRiPcwJ9M74gyXcdTX0M3I4x9En/L92Sp6PK6ahKFlkpL5OZ/DeUFm7IALKURlriM3RP/xR/0gv4kl9HknvFMEsJh/tSHInTkXx3Nbok3RJCHYXk/lGLAqLJGajDCLhPQ3DAv9rhFEya4uKehwL868sMXn4vlZXLIpw/dTczvjw4siWR5LmIJN+1DcZHi1sdSpqIkOg8DkkkRD3OtlWEOo6QVYbTXEmmcyhOOTOKkRJ+Rz4SFWzfsYia6ghJ2duw1ZFIct8mRylyDih9qQrPw7YPXOtqIssp0rdRrYzBOkT87Yvimk2IUNuuIBKZjSklI6kjkdUhOCUPihFbOoGwqmLavsFYuXU381jzYSW5D77U/+BOeIhA+nx8Kf/D6b0dSel/yHY98aV+iOoYG8UcHAhxZAoJ4xHdY5996QrdunWjW7fYVyzidC4d67oOTJgwgdmzZ3fY/oUQDBw4EJ/Px6JFi+Ji9xglGAy22XHhUCTJRWbir+id/m805UDkTpW7kZ38Ar3T38flGHbYOK/7dHpmfEuC91oa+wgJ4STRdzu9MmeT4L14fwMBzTmFQPpXuHx3A83fhFXHJBLSPsWb+FtkpRuy9xaU1M8RznOie3FyNnLgOZSUd1E9F+FO+xrN99OoxbKQ0nEEnsGV8gEZgZ8xMOtrAu5zaCzlo2cfld//JYWfPZrIM7+u4LarSijaNoD+Gf+hR/JTpCc+RO/MGfjd5zY6/lAUOZNMZz7ZbESztqDqi0iR3QQck2npfZOUPEw5g2BkTr2tm42hL8THLjKcI1GbyNF2KTl41Z4EI3Ox7Fq++iTIsFF13dBqI8upMrYj1LFI0sGC2YGiTaTa2EbY2NjEjCwqwwsp0supVcaD1L2RKG7TWNZOwvoCNMJIdmmL2x+KaMEtofnBrfy8xVCQpjiOx5f6H2TlQBtdRRuKy38vCWlf4U+bgcv3AKrrB/hSPmywXVdBkqT4fecYJhQKMWfOHHr27EnPnh2b7x01ln3kv1pg+/btTJkyhUGDBpGXl8ezzz7b4PdPP/00QghKSg7YCD7xxBPk5OQwYMAAPv3003Z/m/Yh7A5e8//ggw+YN28ejz/+eEceBoCNGzdSUlLC6NGj400ljjGKioooLS1tN1/mQ7HsMMUVzyCEkxTfTUhSdDf5UHgpe/beQ1ivM8f3un9ISsIDqC3YJZnGNmoqfoEeapjDLil98Ph/geY6pem5RhZiVjwCxqrDfym8SN6bkTxXI8ThUVTLLCJS+RRG8D0az391oHpvQPPegpAOF8U14SXsKv81NeH5TbywND58azB/eOa/5OTkcP755zNt2jR6965bwg9FlrOn/NfUhmceNnTTBsH8GclU7t5FcWmEpIDEJdN8jB52oP2uLaUSkjKpCs+Dg6zLhEjBUnoQjixqfF77t/MglGEUh9dg2TXIwotXG0RtZAFgEQrZvPd6Nf/3fBV/fSeVvv0bRicFGl7HcGQrRMgqRTd3NHu8Q0lyjsdtzIlpDIBPG4tkLG95w0YI4mlFsRdI6ggsfUlMY4TcDWfin0BKRg99gh76GKP+vT0Uh+d6XP6fI9rU+a9rMGPGDCZOnBi/7xxjVFdXs3DhQgYPHkxKSkqHHuull14C4IYbbmh2uwQtnQkZF3foXBqjOG0mCxcubPL3hYWFFBYWMnLkSKqqqhg1ahTvv/8+ubm5bN++neuuu461a9eyaNEiUlJSWL16NRdffDHz589n165dnHzyyaxfv75DPkMdHtE94YQT+Oabbzr6MAD07duXtLQ0FixYgGm21dYoTleiIyK6ByMJB+mB+0lLuDNqkQvgdAyne/rHpAZ+TXbah2Qm/6lFkQsgKz3wJ7+KL+llJLk7QgRwJ/yKQNpXzYpcAEkbjZLyPnLCYyDtaz8qIVwXoKR+iey9qVGRCyDJ6TgTn8aV8h8kLb/B7xTn2bjTvsbhv7tRkQvgcYygX/o/6ZXyEg7lQP6pEA7S/bcxpOd3/PKBVyksLOSRRx5h/fr1jB07lsmTJ/Ovf/0LVc6jR9q7ZKe8gUPNxTBsPv8kxLWXRLjmomJKtm8jPRWmTHIRSJC49OYi8iZv4/HpZezYZSCsYlzGclK1AXi0kdi2jKSOI2QHWxS5ALZdg6XPJlURpDgno0lOaiMHRPMrf6rkq0+D/Pb5pMNELtQ1DqkKz0eHBiK3YL3OC7+v5P13a1i/Rmf3LoMP3qvhgTvLeOe1ajYX6OgRm9YW19mtsN/ah9TKtBXLiq2Bg6xNwp3yEbI2DFnJxum9Dl/KP0lIX4w74UkUx/HU5RxruAO/w53w0DEhcgGcTiehUFsbw8TpSuzdu5cFCxYwYsSIDhe5MdMFc3QzMzMZOXIkAD6fj0GDBrFzZ11R65133slvf/vbBo2+PvjgAy666CIcDge9e/cmJyeH+fObCKC0kQ5v5ZKQkIAsy5SVlZGU1HhP8Pakd+/eSJLE3LlzGTNmDJrW+htEnK5DMBgkMbF11mAdjRAKAd+1rRqruU5BdU7GtsNIUiCGY0oI90UI5xlYNa8gOaci1EFRj5e1IbhT/oER/B967T/QvLcgO8ZEPT7gPp0E18mUVL9OTXgRmYF7cSg99v9eVVVOOeUUTjnlFF544QXef/99nn76ae6++25uvPFGDMOgoCCbz79YSnYm3Ha1wrQze6BpDVMbfnlXEnMXhXj9vSpGTd3GQ3cncdOVCUhswwPojglUhmdEPe99WFYZQq7FOKgddPlek1f/XM2fXk9hc4FB7xwTl1vw8gtVFO406dNPwbKgV1+FgQMqqaqOUFpiMuubMJ/8p5Yzz3WzY6vBX5+vIlhrMyBX5bgTnaxYqvPyi9VUVlhcf8Nq7rzRwuuJLcZg2marS/pk4WtVfzrFcSKyOggj9DFmeBZN++kKVO8taL6796fpHIwkp+DwXIbDcxmWVYFtFiOr0RX5HS24XC6CwWCbOzfG6RoUFRWxZs0axo4de8Ta+lqW1eZi646kuLiY0aNH7//+hhtuaDL6vGXLFpYsWcLYsWP58MMP6datG8OGNUwD3LlzJ+PGjdv/fXZ29n5h3N4ckZ6FJ554Il9//TXTpk07EoejZ8+eaJrG7NmzGT169JFtzRenQwgGg2RltS4y1dURwoVoZT6kkPzIvttbfWzFdQaK64zWHVuopPquJtV3dfPHUBTOP/98zj//fObMmcOrr75KIBBg4sRJ3HHHLQxJv7SZYwjGj3YxfrSL268LcM0dRfz7fzX8/Y/pZKYr2G1qMdxQVLvdEude5OHmS0tITpV45rFyBHDcSS7GTHAwf1aItAyZ/71fy4ubluByR0hKlhg6QuPd/6WR2a35y2nhToM/PVXF8afs4cU/JDFmVPQP4aZd05oXCIDUiPhsFuHHGfjN/vNC9VyMbZVjhD7DCP6vXvTWdz8TPpyB36G4To1uLlICSNEXFh4t7BO6cY5+tm/fztatWxk/fjwOR+xFtK1l6dKlXHpp09fCA9jQCTnhqempzaYu7KO6uppp06Yxffp0FEXhscce47PPPjtsu8ayZkVr2kNGwRERulOnTuX1118/YkIX6sLobrebhQsXkpeXR2pq6hE7dpz2p6NTF+IcGcaPH8/48eP3f2/bEewo66UG5GjM+CCbR35XxonTdvLFP7rhyW6/uWkOwb0PB7jsOi8ut0BRBAXrdIaP1hBC8MMLD0Tr3GouYb2RHOlmyOym8MKLY/jsg2+57JpS+vdTuOpyD9N+0HLEyDRjL0SrQyCpI5BFAmb4a7CbX16X1KE4E59HOig6DyCkAKr7AlT3BdhWJUboC8zwLDTfrUhK0xZq3xfiFmNHP7ZtU1BQQGlpKePGjWtXl59omDdvHs8991x0G3dRuy9d15k2bRqXXnop5513HitWrGDz5s37o7k7duxg5MiRzJ8/n+zsbLZv375/7I4dOzosmHVE4uRjx45l7ty5R+JQDUhISGDcuHGsW7eOzZs3H/Hjx2k/dF1HVTuujWecziK2m4ksC351bzJXX+TnxGk72bmrDeKiieBBVrZCYpKMzy8xYoyjiShDayMqNuec6WL5/AxuvNbLb5+p4vGnKlv0Sjat3cQcl5DSEIl/Q/LfiyvpRTzpi3EE/oDsPAUasXtTPdfgSvnnYSL3UITkR3WfhzPxd3GRW4/T6YxHdI9ibNtm5cqVVFdXk5+ff8RF7ubNm+nWrdtRfY+zbZtrr72WQYMG8dOf/hSAIUOGsGfPHrZs2cKWLVvIzs5m8eLFZGRkcM455/D2228TDofZvHkzGzZsID8/v4WjtI4j8tdUVZXu3buzadMm+vQ5svYwTqeT8ePHs3TpUqqqqhg8eHCXzoOJ0zQdtawRp/MQQsJGEGuR1r23JiJJ8IMfzuD1d9xkZbUig7UNQRG7lYNF/TiHQ3DW6S5yB6qMnlTERee76dO76cuxpPQF58kQ+g9YxS0fyHEyIuExhHSgLkJIHlT3D1DdP8C2qjBCn2MEP8LSl+NIeCzq9IM4hxMvRjt6MQyDJUuW4PV6GTx4cKfcZz7//HOmTp0a3cZ225sIdQSzZs3itddeY8iQIQwfPhyAxx9/nDPOaDw1Li8vjwsuuIDc3FwUReH555/vMNeSI/bYcvLJJ/PFF1+0aJ3REciyzMiRI9mwYQPz5s1j9OjRR/WT0/cNXdfjtj3HNAqgxzzq7lsSiSguLv7Rat58N4lu3WI9R9qidFs59pBxBRsNJk/QmhG5Ur0N170I4cD23QeRudih/0DoM7AP6ZAmXAjf/Qh38/ZDQvKhus9DdZ+Hbdvxh8g2Ehe6RyfV1dUsWrSIXr16dapH7hdffMHDDz8c/YAofG2PNJMmTWpRgG/ZsqXB9w8++CAPPvhgB86qjiMW2pw6dSpffPFFyxt2EEII+vfvT69evZg1axbV1dGbmsfpXEKhUDw/95im9Q8xt9w8gCuvdnPxBWXs2N6UK0BTtEXcxZ664FRz8XkvQ3GcwL7XLCQwmqink+SeeJP/gTvhF/vt4oSQEI4JSAlPINJmIwLPg/N0wAlKLiL53y2K3EOJi9y2I8tyvGnEUUZhYSELFy5k2LBhnSpyTdNk7dq1DBoUrWuODbZ15L+OYo5YRHfQoEGsXbsW0zQ7NTq3r0htwYIFDB48OF6kdhQQDodxOo9MO884nYCQ2xRcveY6D5IMF/6ojL/8XyK5eR27WuN1jMfvPJGSqucxo2jEINBITbidNP+P69rjen6EZe4hEnyfE457l2tv/oq9ey0SEw/EHTT3Zbj9v0BITdtVCeEA5ykI5ynYVjUIDdEGv904LWNZFm+99RbPPfccqqry3XffNfh9PDre9bEsi7Vr11JZWcmECRM63YJ06dKljBgxIn7edCBHTOgKIRgxYgRLlixp4MXWGSQkJDB+/HgWLFhAdXU1vXr1ip9kXZhQKHREbV7iHGlafxkSom7sVVd7SE6SuPySMh78pZ/zpjW/AqCpg/H5bgY5g/La/xCN0palBLICPyfZexEAyb7LKKn6CyWVf8E6NIWgHpc2jOykZ3BqAxr8XJLTcHpvYMbsXqSkrCWQci3C/ggAT+BpVOeUFudzMEKKWyh2NNu3b+ess87C7Xbz85//nHPPPbeBsNU0jUgkEr9WdWHC4TCLFi0iOTmZsWPHdon7/ueff87JJ58c26AumKPblTmipYX70hc6W+hCXU7VhAkTWLlyJQsWLGD48OGd/mQXp3FCoVA8onss45oGta8RU56u8CC8PybBdRlK8F+UV/6es3+wk/4DFG66oZzZM8PccpuXPn0aXuKE8BLw34Pfey1CyPjcJxOM3Mruit9REWy613rAfTbdEn+FKh9YAZIlL+kJd5Liu5riyhcprfobll1bfxwH6Ql3keK7scnuX7Ztc9ttt/H88y+RlH4Gtv0Q2KEmu9LFObJUVFTw9ddf8/nnn/PZZ58xdOhQEhIS+PbbbxFCIIRoIGydTifhcDgudLsoZWVlLFu2jLy8PNLS0jp7Ovv54osveO2116IfYNMlc3S7MsI+guV7hYWFXH755Z2aq9sYu3btYt26dQwdOpTk5OTOnk6cQ1i1ahWpqald6uIUp32xzZ3Y1X+A4AfQUhMI55kI388QcsaB8XaEqprXqaj8A3vLC/nLn2t4640guXkK2d1lnE6B39+Pk0+8h1NPvaDRYtTayHIKy5+mKvT1/p+pcje6Jz2O33Vii6/BMEsprnyeYGQV3ZIex6H2bXb7goICTjjhBLZv394lIksdSTAY5IUXXiAUCjFy5EhOP/30w7bZunUrb731Fvfdd1+nvB+2bbNkyRL++9//8umnn7JkyRJqa2txOBw8+uijeL1e5s2bxyuvvAJAUlISBQUF+zt+xq9TXRPbttmyZQs7duxg1KhRR6zTWTTU1tZy3HHHRdWIYR8JSirjE87twFk1TknvxTHNsytxRH22MjMzqaio6HLG2llZWYwdO5a1a9eybt26Lmnd8X0mHtE99hFyN6SE3yBS/guO02i0UEzJQSS+hhSY3kDkAgih4fdeQ7fMOfTs/jD33NeTmXNSufBiN0OGpDOg/xUkJpzL448/T2ZmJrfddhuVlQ3TDdzaUPqm/Z1+6e/jdU4m1XctAzO/ikrkAihyMpmJv6RP+jstilyA2bNnM2nSpGNe5Nq2zU033cTHH39MTU0NP/7xj/nZz37W4DpbVVXFWWedxZNPPsk///nPIza3YDDIRx99xI033kh2djYXXXQRe/fu5fbbb2fQoEFMnDiRZcuWcccdd/DKK68wYsQI3n33XY477jj8fn+D6G3ceaHrYRgGixcvpqKiggkTJnQpkQswc+ZMJk+eHPvAeDFaTBxZV2Rg8uTJzJw5k1NOOeVIH7pZ3G4348ePZ/369cyePZuRI0fGK/27CPHlwO8PQumLSHwOW1+FXfV7iHxbn6ZwK7ivrCvmagZJuEjw3YzPcwWV1S9xycUhEvx3INW3WH7ooYfYunUrv/71rxk9ejTXXnst3bp1o3v37kyYMAFVVfE4RpGT9maHv9bCwsJOrfY+UrzwwgssWbKEOXPm4PF4OOWUU7j00kt54okn9m9zzz33kJ+fzwsvvMBFF13E1KlTSUioaxXcUQVeDz/8MM888wwjR47k7LPP5quvvmLAgLpc6rKyMu677z7uu+8+BgwYwP/93/+xaNEiNm/ezKBBg7jtttv44Q9/2GBlwOFwxJtGdCGqqqpYsmQJPXv27LKfs5j8c/djx1MXYuSIC92TTz6Zzz//vMsJXQBJkhg4cCClpaXMnTuXAQMGdFhLujjRE4lE4vnT3zOEmodI+it2ZAnIWQg5PabxkuQh4L+z0d/17NmTv/zlL3z44YfMmDGDpUuXUlBQQFFRET/96U+55JJLGiw/f/TRR9x6660cf/zxPPHEE+12TaiursbjadpV4Vjgww8/5JFHHmH27Nn7X+vLL7/MT37ykwbiNT09nfLyciZPnsyZZ57JtGnTSExMZPXq1RQUFHDRRRfxzDPPtGtq2axZs3j55ZcbbU2flJTE559/zvHHH89HH33Ehg0bEEIgyzLr1q1j4cKFjBgxgpycnP1jHA4HFRUV7Ta/OK3Dtm02bdrEjh07GD58+P4Hpq7IjBkzeOihh2Ib1EUbRnRljniLsOOOO44ZM2Yc6cPGRHJyMhMnTmTHjh0sW7YM02whZzBOh3OsL+/GaRyhjYhZ5EbLOeecw9NPP81bb73FggUL+Oc//8m8efMYMGAAAwYMYMKECUyePJnrrruOu+66iwULFnDHHXe02/GTk5PZtWtXu+2vK2GaJg888AC33norH374IX371qVyRCIR5syZw2mnndZg+zPOOIM33ngDXdf57W9/y9SpUzn33HN588032blzJ4mJiQwePJh33nmn2Zt8ZWUlb7/9NldeeSUvv/xyo9duy7J44IEH2Lx5MxMmTGhyXzk5OcyYMYPLL7+c9957j+rqagoLC/n222+xLIuJEydywQUX7N/e4XAQDodjfavitCM1NTXMnj2bcDjMpEmTurTI3bNnDy6XC6837pjS0RzxiK7X68XtdrNnz54unbSvaRpjxoxh69atzJw5kxEjRuD3+zt7Wt874k+ucY4UY8aM4a233sI0TVatWkVVVRWmaeJ0Olm0aBFr1qxhzZo1FBcXt4v/dn5+Pm++2fEpEkeaiooKLrroIiKRCIsWLSI1NZUNGzbwxz/+kbfeeovBgwfvbwVfVlbGU089xZ///GeuuOIKJEkiEAhw3333Ndjn9OnTueiii7j22mvZuHEjDzzwwP7f7d69m48++oh//etfzJw5k0mTJnHqqafy17/+lenTp/Pkk0/Ss2dPysvLqaio4NVXX2Xbtm3MmTOnxb9j375994v0fQwYMICnnnqKX//61/Ts2XN/a/u40O08bNtm69atbNmyhaFDh+4vEOzKfPnll5x00kmtGxxvThITR1zoApx00kl89dVXXHTRRZ1x+KgRQtCrVy+SkpJYsmQJ3bt3p3fv3vHo4hFE1/V4u+Y4RxRZlhk6dGiDn1VVVeFwOLj++uvbrclMRkYGe/bsaZd9dRU2btzI2WefzZQpU5g+ffr+z+7f/vY33n77bWbOnEn//v2pqqri0Ucf5dlnn+W8885j6dKl9OjRo9l9jxs3junTp3PnnXcSiURYvHgxixcvpqamhlNOOYUrrriCt99+e39A4vbbb+df//oXDzzwAKFQiEAgQCAQYNCgQbz88sttrsFwOByceuqpfPLJJ9xyyy37fXTjHFmCwSBLly7F6/UyadIkFKVTZE3MfPHFF1x//fWtGxwPAMVEp5wRU6dO5aWXXuryQncffr+fSZMmsXbtWmbNmsXQoUPj0d0jRLwQLU5X4KSTTmLevHmcffbZpKen88ADDyBJbcv8mjt37lEtjCzLIhgMUltbS21tLStWrOC6667jl7/8JbfcckuDbX/1q1+xYMEC/vCHPzB69Gjuu+8+pk6dyty5cxvkubbE2LFjyc3NRdd1rrzySp599tkmG/4IIZg2bVqjObjtxemnn85f/vIXhBC8//77XHLJJYTDYU444YR4XUEHY9s227dvZ+PGjUddl1PbtlmwYAF//vOfO3sq3wuOqI/uPgzDYNSoUSxduvSoi45WVFSwfPlyUlJS6N+/f6e2M/4+UFpays6dOw+LsMWJ0xkUFhZy/vnn43K5eOWVV8jOzm71vrp168a7777LxIkT23GGR46xY8eyYsUKPB4PLpeLQCDAM88802SXp4qKCjIzM8nMzOT3v/8955xzzhGecftTWlrKqFGjmDhxIueddx6mafLMM8+wdu1apk6dyllnncUFF1wQd/BpZ0KhEMuWLcPhcJCXl3fUrfqtX7+e++67j3//+98xj02QkhnnPKMDZtU8pblrjlof3U6J6CqKQt++fdmwYQP9+/fvjCm0moSEBCZNmsSmTZv47rvvGDx4MCkpKZ09rWOWuONCnK5EZmYm3377Lb/5zW8YOXIkX375JUOGDIl5P7t37yYUCjVbDNXVKC0t5e9//zsrV65k1apVlJSUUF1dHXVkOyEhAb/fT1paGroeQxe8LkxycjJbtmzZ//13333HzJkzKSkp4eOPP+aNN95g+vTpvPfee4fl+sZpHfsaPOXm5pKe3jGFqh1N62zF6rCJ167EyhF3XdjH1KlT+fjjjzvr8G1CCEHfvn3Jz8+noKCApUuXHtVLkF2ZuNCN09VQFIUHH3yQ3/zmN1x66aWtKkAqKSkhEAgcNStaRUVFHH/88cyfP5/8/HyefvpplixZElP6hm3byLJMRkYGmzdv7sDZdh778nQzMjK4+uqr+fTTT7n22msZP348H3zwQWdP76gmGAyyYMECCgsLmThx4lErcgE++eSTJlc+osKyj/zXUUynCd3zzz+ft99+u7MO3y643W7Gjh1LSkoKs2bNYufOnfEnrXbm4F7yceJ0Ja666iry8vI47bTTYi4qy87OZtu2bZSVlXXQ7NqPXbt2ccIJJ/CjH/2IN998kxtvvJFJkybFXKfwxhtvkJaWxpQpU5gxYwbWMVg5fmhBmhBiv8XaTTfdxJw5czpxdkcnlmWxYcMG5s2bR48ePRg1atRRHfwoKiqitLT0qFvNPprpNKGbmppKVlYWy5Yt66wptAtCCLKzs5k4cSJ79uxh/vz58e447UgkEjnq8q/ifD8QQvD6668zYcIExowZE1P+2m233cb111/f5W2QIpEIJ5xwAldccQUPPfRQqyPQZWVl3HPPPfz5z3/mqquuorKykksvvfSYSWHYR1POC+PGjeOMM85gxYoVMe/Ttm2+++47brvtNi644AJOOukkhg0bRrdu3UhMTCQQCOD3+/F4PHi9Xq666ioKCgra4+V0Onv27GHGjBnYts3kyZOP6ijuPl5//XUuv/zyNuzBjrcAjpFOE7oA11xzDX/72986cwrthqZpjBgxgj59+jBv3jw2bdoUj+62A7quH9VP73GObWRZ5rHHHuOZZ57h9NNP55133olq3KZNmxo0G+iqrFmzBkVRuP/++9u0nwcffJDzzz+f/Px8/H4/n3zyCV9++SUbNmxop5l2DVRVbVK89+rVi2eeeYb+/fvz05/+lOrq6mb3pes6b731Fvn5+Vx77bVkZ2dz3nnncf/99/Pqq68yd+5cNm7cyObNm9mxYwdFRUVs3ryZ3r17M378eK644grWr1/fES+zw6mtrWX+/Pls3bqV/Pz8Y6bw27Zt3nzzTS6++OI27ARsyz7iX0cznWo4d+qpp3L//fcfUxZSqampTJ48mXXr1vHdd98xaNCgo8r2pKsRj+jGORqYNm0aOTk5nHjiiei6zmWXXdbs9ueccw733nsvX375JT6f7wjNMnZWrVrF4MGD27yfvXv3NnBOqaqqIhwOM2DAgDbvuyvRnJfupZdeSlZWFsOGDeO5554jLy+PP/7xj5x99tmNbn/llVeydetWfvnLX3LmmWdGlQ/t9Xp56KGHuOOOO3juueeYNGkSF198Mc8++2ybXteRwjRNCgoKKCwsJDc3t0s3l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style='max-width:100%; margin: auto; display: block; '/>"
+      ],
+      "text/plain": [
+       ":Overlay\n",
+       "   .Polygons.I  :Polygons   [Longitude,Latitude]   (air)\n",
+       "   .Coastline.I :Feature   [Longitude,Latitude]"
+      ]
+     },
+     "execution_count": 78,
+     "metadata": {
+      "application/vnd.holoviews_exec.v0+json": {}
+     },
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "img"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 79,
+   "id": "1e3d4067-6474-4e67-baa3-f4348e036c58",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "holoviews.core.overlay.Overlay"
+      ]
+     },
+     "execution_count": 79,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "type(img)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 80,
+   "id": "f4e13eae-2c01-406b-8e5f-b5398b8755e2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "gv.save(img, 'xagg_h3_air.png')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 105,
+   "id": "308dbeba-6ad2-49ae-9847-2f0b4b9fe64b",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
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+       "<defs>\n",
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+       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
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+       "  --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",
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+       "}\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",
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+       ".xr-section-item input {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input + label {\n",
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+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label {\n",
+       "  cursor: pointer;\n",
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+       "\n",
+       ".xr-array-wrap {\n",
+       "  grid-column: 1 / -1;\n",
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+       "  display: none;\n",
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+       "  display: inline-block;\n",
+       "}\n",
+       "\n",
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+       "  display: inline-block !important;\n",
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+       ".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",
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+       ".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",
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+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;lon&#x27; ()&gt;\n",
+       "array(-30., dtype=float32)</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'>'lon'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-9068cf42-4556-4b6c-b00c-15b89c4524fb' class='xr-array-in' type='checkbox' checked><label for='section-9068cf42-4556-4b6c-b00c-15b89c4524fb' 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>-30.0</span></div><div class='xr-array-data'><pre>array(-30., dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-e8a37561-4bd6-4823-ac7a-6e36db2a845d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e8a37561-4bd6-4823-ac7a-6e36db2a845d' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-537830f9-3fde-401c-a23a-71ae3dfffbb4' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-537830f9-3fde-401c-a23a-71ae3dfffbb4' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-ff91b841-8bc7-46fc-acfb-fb72f69c47e7' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ff91b841-8bc7-46fc-acfb-fb72f69c47e7' 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.DataArray 'lon' ()>\n",
+       "array(-30., dtype=float32)"
+      ]
+     },
+     "execution_count": 105,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ds.lon.max().compute()"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "xa_dggs",
+   "language": "python",
+   "name": "xa_dggs"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.13"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

From d5ae47d094b1d19152ade2a04ea88e1bb6ae5f0e Mon Sep 17 00:00:00 2001
From: "pre-commit-ci[bot]"
 <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Date: Thu, 19 Jun 2025 09:02:54 +0000
Subject: [PATCH 2/6] [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci
---
 regridding/xagg_airtemp_h3.ipynb | 3674 ++----------------------------
 1 file changed, 168 insertions(+), 3506 deletions(-)

diff --git a/regridding/xagg_airtemp_h3.ipynb b/regridding/xagg_airtemp_h3.ipynb
index 8581870..9dbdf49 100644
--- a/regridding/xagg_airtemp_h3.ipynb
+++ b/regridding/xagg_airtemp_h3.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "baae9222-b9ac-4438-bfba-a0d1d7f37269",
+   "id": "0",
    "metadata": {},
    "source": [
     "# Regridding the Lat/Lon Airtemp dataset to H3\n",
@@ -11,14 +11,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
-   "id": "38611c39-aa43-4480-84d4-9e87a200d106",
+   "execution_count": null,
+   "id": "1",
    "metadata": {},
    "outputs": [],
    "source": [
     "import os\n",
     "\n",
-    "# The variable is named ESMFMKFILE, and it must point to the esmf.mk file \n",
+    "# The variable is named ESMFMKFILE, and it must point to the esmf.mk file\n",
     "\n",
     "esmfmk = \"/Users/akmoch/micromamba/envs/xa_dggs/lib/esmf.mk\"\n",
     "os.environ[\"ESMFMKFILE\"] = esmfmk"
@@ -26,34 +26,24 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
-   "id": "500db10a-a8a6-4eef-853b-433210017c62",
+   "execution_count": null,
+   "id": "2",
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/akmoch/micromamba/envs/xa_dggs/lib/python3.10/site-packages/h3/unstable/__init__.py:4: UserWarning: Modules under `h3.unstable` are experimental, and may change at any time.\n",
-      "  warnings.warn(\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
-    "import xagg as xa\n",
-    "import xarray as xr\n",
-    "import numpy as np\n",
     "import geopandas as gpd\n",
-    "import xdggs\n",
-    "\n",
     "import matplotlib as mpl\n",
-    "import matplotlib.pyplot as plt"
+    "import matplotlib.pyplot as plt\n",
+    "import numpy as np\n",
+    "import xagg as xa\n",
+    "import xarray as xr\n",
+    "import xdggs"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "3cac95c7-9f2d-4fdd-b921-01c8f22d87a6",
+   "id": "3",
    "metadata": {},
    "outputs": [],
    "source": []
@@ -61,7 +51,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "c405c6cd-13ef-4609-bbf2-9d09f7d90e36",
+   "id": "4",
    "metadata": {},
    "outputs": [],
    "source": []
@@ -69,491 +59,17 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "84dd951f-5bfd-4f6d-ab73-19e0a41c47f7",
+   "id": "5",
    "metadata": {},
    "outputs": [],
    "source": []
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
-   "id": "44439018-2874-4615-b4ac-ec8b0a764d83",
+   "execution_count": null,
+   "id": "6",
    "metadata": {},
-   "outputs": [
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-       ".xr-section-item input:enabled + label {\n",
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-       "\n",
-       ".xr-section-item input:enabled + label:hover {\n",
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-       "\n",
-       ".xr-section-summary {\n",
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-       "  font-weight: 500;\n",
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-       "\n",
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-       "\n",
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-       "\n",
-       ".xr-section-summary,\n",
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-       "  padding-top: 4px;\n",
-       "  padding-bottom: 4px;\n",
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-       "\n",
-       ".xr-section-details {\n",
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-       "  grid-column: 1;\n",
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-       "\n",
-       ".xr-preview {\n",
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-       "}\n",
-       "\n",
-       ".xr-array-preview,\n",
-       ".xr-array-data {\n",
-       "  padding: 0 5px !important;\n",
-       "  grid-column: 2;\n",
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-       "\n",
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-       "\n",
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-       "\n",
-       ".xr-var-list,\n",
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-       "  display: contents;\n",
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-       "\n",
-       ".xr-var-item > div,\n",
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-       "\n",
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-       "  padding-right: 5px;\n",
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-       ".xr-index-preview {\n",
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-       ".xr-var-name,\n",
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-       ".xr-var-dtype,\n",
-       ".xr-preview,\n",
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-       ".xr-var-dtype:hover,\n",
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-       ".xr-var-data,\n",
-       ".xr-index-data {\n",
-       "  display: none;\n",
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-       ".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",
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-       ".xr-var-name span,\n",
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-       ".xr-index-name div,\n",
-       ".xr-index-data,\n",
-       ".xr-attrs {\n",
-       "  padding-left: 25px !important;\n",
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-       "\n",
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-       ".xr-var-attrs,\n",
-       ".xr-var-data,\n",
-       ".xr-index-data {\n",
-       "  grid-column: 1 / -1;\n",
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-       "  padding: 0;\n",
-       "  margin: 0;\n",
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-       "  padding-right: 10px;\n",
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-       "\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",
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-       "\n",
-       ".xr-attrs dd {\n",
-       "  grid-column: 2;\n",
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-       "\n",
-       ".xr-icon-database,\n",
-       ".xr-icon-file-text2,\n",
-       ".xr-no-icon {\n",
-       "  display: inline-block;\n",
-       "  vertical-align: middle;\n",
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-       "  stroke: currentColor;\n",
-       "  fill: currentColor;\n",
-       "}\n",
-       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
-       "Dimensions:  (lat: 25, time: 2920, lon: 53)\n",
-       "Coordinates:\n",
-       "  * lat      (lat) float32 75.0 72.5 70.0 67.5 65.0 ... 25.0 22.5 20.0 17.5 15.0\n",
-       "  * lon      (lon) float32 200.0 202.5 205.0 207.5 ... 322.5 325.0 327.5 330.0\n",
-       "  * time     (time) datetime64[ns] 2013-01-01 ... 2014-12-31T18:00:00\n",
-       "Data variables:\n",
-       "    air      (time, lat, lon) float32 241.2 242.5 243.5 ... 296.5 296.2 295.7\n",
-       "Attributes:\n",
-       "    Conventions:  COARDS\n",
-       "    title:        4x daily NMC reanalysis (1948)\n",
-       "    description:  Data is from NMC initialized reanalysis\\n(4x/day).  These a...\n",
-       "    platform:     Model\n",
-       "    references:   http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanaly...</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-51baa3db-2a25-433e-814f-5a9870d8a4ff' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-51baa3db-2a25-433e-814f-5a9870d8a4ff' 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'>lat</span>: 25</li><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-6edbae57-3fe8-408b-bf0d-b84479c46ed6' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6edbae57-3fe8-408b-bf0d-b84479c46ed6' 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'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-9ad06963-5c35-44ce-9b8e-cec5d593c6d5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9ad06963-5c35-44ce-9b8e-cec5d593c6d5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a17198c7-1c36-497d-8b1a-5e72a0e06811' class='xr-var-data-in' type='checkbox'><label for='data-a17198c7-1c36-497d-8b1a-5e72a0e06811' 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>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,\n",
-       "       45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5,\n",
-       "       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-1d3672c5-cffc-4687-af0c-741f27b9263b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1d3672c5-cffc-4687-af0c-741f27b9263b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bb55ba4c-85ea-43da-930d-d3428711daa6' class='xr-var-data-in' type='checkbox'><label for='data-bb55ba4c-85ea-43da-930d-d3428711daa6' 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>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,\n",
-       "       225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,\n",
-       "       250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,\n",
-       "       275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,\n",
-       "       300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,\n",
-       "       325. , 327.5, 330. ], dtype=float32)</pre></div></li><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'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-7ec936e4-da84-4274-803c-c3cc4d35f839' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7ec936e4-da84-4274-803c-c3cc4d35f839' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f6befe3b-1112-4a2f-b626-de64383f90cb' class='xr-var-data-in' type='checkbox'><label for='data-f6befe3b-1112-4a2f-b626-de64383f90cb' 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>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,\n",
-       "       &#x27;2013-01-01T12:00:00.000000000&#x27;, ..., &#x27;2014-12-31T06:00:00.000000000&#x27;,\n",
-       "       &#x27;2014-12-31T12:00:00.000000000&#x27;, &#x27;2014-12-31T18:00:00.000000000&#x27;],\n",
-       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a5198646-b4c6-4222-888a-3dcc8e9b13aa' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a5198646-b4c6-4222-888a-3dcc8e9b13aa' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>241.2 242.5 243.5 ... 296.2 295.7</div><input id='attrs-e0566d80-d8f6-4535-9f56-1cf5164ab7cb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e0566d80-d8f6-4535-9f56-1cf5164ab7cb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-abf79959-a4ac-4788-90bd-034465f9701e' class='xr-var-data-in' type='checkbox'><label for='data-abf79959-a4ac-4788-90bd-034465f9701e' 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>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div><div class='xr-var-data'><pre>array([[[241.2    , 242.5    , 243.5    , ..., 232.79999, 235.5    ,\n",
-       "         238.59999],\n",
-       "        [243.79999, 244.5    , 244.7    , ..., 232.79999, 235.29999,\n",
-       "         239.29999],\n",
-       "        [250.     , 249.79999, 248.89   , ..., 233.2    , 236.39   ,\n",
-       "         241.7    ],\n",
-       "        ...,\n",
-       "        [296.6    , 296.19998, 296.4    , ..., 295.4    , 295.1    ,\n",
-       "         294.69998],\n",
-       "        [295.9    , 296.19998, 296.79   , ..., 295.9    , 295.9    ,\n",
-       "         295.19998],\n",
-       "        [296.29   , 296.79   , 297.1    , ..., 296.9    , 296.79   ,\n",
-       "         296.6    ]],\n",
-       "\n",
-       "       [[242.09999, 242.7    , 243.09999, ..., 232.     , 233.59999,\n",
-       "         235.79999],\n",
-       "        [243.59999, 244.09999, 244.2    , ..., 231.     , 232.5    ,\n",
-       "         235.7    ],\n",
-       "        [253.2    , 252.89   , 252.09999, ..., 230.79999, 233.39   ,\n",
-       "         238.5    ],\n",
-       "...\n",
-       "        [293.69   , 293.88998, 295.38998, ..., 295.09   , 294.69   ,\n",
-       "         294.29   ],\n",
-       "        [296.29   , 297.19   , 297.59   , ..., 295.29   , 295.09   ,\n",
-       "         294.38998],\n",
-       "        [297.79   , 298.38998, 298.49   , ..., 295.69   , 295.49   ,\n",
-       "         295.19   ]],\n",
-       "\n",
-       "       [[245.09   , 244.29   , 243.29   , ..., 241.68999, 241.48999,\n",
-       "         241.79   ],\n",
-       "        [249.89   , 249.29   , 248.39   , ..., 239.59   , 240.29   ,\n",
-       "         241.68999],\n",
-       "        [262.99   , 262.19   , 261.38998, ..., 239.89   , 242.59   ,\n",
-       "         246.29   ],\n",
-       "        ...,\n",
-       "        [293.79   , 293.69   , 295.09   , ..., 295.29   , 295.09   ,\n",
-       "         294.69   ],\n",
-       "        [296.09   , 296.88998, 297.19   , ..., 295.69   , 295.69   ,\n",
-       "         295.19   ],\n",
-       "        [297.69   , 298.09   , 298.09   , ..., 296.49   , 296.19   ,\n",
-       "         295.69   ]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d7d320fd-e199-455d-ae08-2db228c2c473' class='xr-section-summary-in' type='checkbox'  ><label for='section-d7d320fd-e199-455d-ae08-2db228c2c473' 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>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-3969d4c5-29c7-406e-95b5-82eb50b08fdc' class='xr-index-data-in' type='checkbox'/><label for='index-3969d4c5-29c7-406e-95b5-82eb50b08fdc' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,\n",
-       "       45.0, 42.5, 40.0, 37.5, 35.0, 32.5, 30.0, 27.5, 25.0, 22.5, 20.0, 17.5,\n",
-       "       15.0],\n",
-       "      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-b001844b-c899-4be5-95da-0d9fcfe336a1' class='xr-index-data-in' type='checkbox'/><label for='index-b001844b-c899-4be5-95da-0d9fcfe336a1' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,\n",
-       "       225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,\n",
-       "       250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,\n",
-       "       275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,\n",
-       "       300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,\n",
-       "       325.0, 327.5, 330.0],\n",
-       "      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><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-29a6b2b4-4922-43c7-b843-9b256d82c53d' class='xr-index-data-in' type='checkbox'/><label for='index-29a6b2b4-4922-43c7-b843-9b256d82c53d' 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;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,\n",
-       "               &#x27;2013-01-01 12:00:00&#x27;, &#x27;2013-01-01 18:00:00&#x27;,\n",
-       "               &#x27;2013-01-02 00:00:00&#x27;, &#x27;2013-01-02 06:00:00&#x27;,\n",
-       "               &#x27;2013-01-02 12:00:00&#x27;, &#x27;2013-01-02 18:00:00&#x27;,\n",
-       "               &#x27;2013-01-03 00:00:00&#x27;, &#x27;2013-01-03 06:00:00&#x27;,\n",
-       "               ...\n",
-       "               &#x27;2014-12-29 12:00:00&#x27;, &#x27;2014-12-29 18:00:00&#x27;,\n",
-       "               &#x27;2014-12-30 00:00:00&#x27;, &#x27;2014-12-30 06:00:00&#x27;,\n",
-       "               &#x27;2014-12-30 12:00:00&#x27;, &#x27;2014-12-30 18:00:00&#x27;,\n",
-       "               &#x27;2014-12-31 00:00:00&#x27;, &#x27;2014-12-31 06:00:00&#x27;,\n",
-       "               &#x27;2014-12-31 12:00:00&#x27;, &#x27;2014-12-31 18:00:00&#x27;],\n",
-       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3683cea4-54a5-4c6b-9a6b-864d437aa6c8' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3683cea4-54a5-4c6b-9a6b-864d437aa6c8' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>COARDS</dd><dt><span>title :</span></dt><dd>4x daily NMC reanalysis (1948)</dd><dt><span>description :</span></dt><dd>Data is from NMC initialized reanalysis\n",
-       "(4x/day).  These are the 0.9950 sigma level values.</dd><dt><span>platform :</span></dt><dd>Model</dd><dt><span>references :</span></dt><dd>http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanalysis.html</dd></dl></div></li></ul></div></div>"
-      ],
-      "text/plain": [
-       "<xarray.Dataset>\n",
-       "Dimensions:  (lat: 25, time: 2920, lon: 53)\n",
-       "Coordinates:\n",
-       "  * lat      (lat) float32 75.0 72.5 70.0 67.5 65.0 ... 25.0 22.5 20.0 17.5 15.0\n",
-       "  * lon      (lon) float32 200.0 202.5 205.0 207.5 ... 322.5 325.0 327.5 330.0\n",
-       "  * time     (time) datetime64[ns] 2013-01-01 ... 2014-12-31T18:00:00\n",
-       "Data variables:\n",
-       "    air      (time, lat, lon) float32 241.2 242.5 243.5 ... 296.5 296.2 295.7\n",
-       "Attributes:\n",
-       "    Conventions:  COARDS\n",
-       "    title:        4x daily NMC reanalysis (1948)\n",
-       "    description:  Data is from NMC initialized reanalysis\\n(4x/day).  These a...\n",
-       "    platform:     Model\n",
-       "    references:   http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanaly..."
-      ]
-     },
-     "execution_count": 5,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "ds = xr.tutorial.load_dataset(\"air_temperature\").load()\n",
     "ds"
@@ -562,79 +78,37 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "10175983-e8f1-4002-8c0f-4c2550c433ba",
+   "id": "7",
    "metadata": {},
    "outputs": [],
    "source": []
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
-   "id": "13a13406-7da6-47f9-b4c0-f33776078690",
+   "execution_count": null,
+   "id": "8",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<matplotlib.collections.QuadMesh at 0x29cec9bd0>"
-      ]
-     },
-     "execution_count": 6,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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1JywszLJ9RkaGpbUoNDQU+fn5uHz5slXrUEZGBtq0aVNW1XEJPiYjIiJyAWfeJCtanCWEQF5eHqKjoxEaGorExERLWn5+PpKSkiyBTrNmzaDX6622SUtLw+HDhyt8MOQ2LUNERETliUnAyVnr7dt+0qRJePDBBxEZGYmrV69izZo12LlzJzZv3gxFUTB69GjMnDkTdevWRd26dTFz5kx4eXlhwIABAAB/f38MGzYMY8eORVBQEAIDAzFu3Dg0atQIXbp0cbwi5QCDISIiIjfw559/4umnn0ZaWhr8/f3RuHFjbN68GV27dgUATJgwATk5ORg+fDguX76Mli1bYuvWrfD19bXsY/78+dDpdOjfvz9ycnLQuXNnrFixAlqtvFtBeacIUbknN8nKyoK/vz/adJkKnd6jxG3YZ6j0FEkfDFl9lAJ5fRTJgF2y/doiJP16AECo9CMDALOBfYbs2bc8s3qSu/UZEjb+BJVdG7a+C9o89XRdjvw7WCH7DOkkJ9PHSzXJVEU9rbAwFzt+mYnMzMxS98OxV9HvpQNHg+Hr6/gX6+pVM+6JybitZXUXbBkiIiJyATMUmJx488Ts1FsrdDN2oCYiIiK3xpYhIiIiFzALp57kOpWXrDEYIiIicgGTk4/JnMlL1viYjIiIiNwaW4aIiIhcgC1D5QeDISIiIhcwCwVmJ6b/cCYvWWMwRERE5AJsGSo/2GeIiIiI3BpbhoiIiFzABA1MTrRJ2BqAnUrPbYKhnGAdtAb7q2truH9NgfpAD9p8G0PnS9JtTX2gSEbWV2xMxyEUJ6aCkOSVH1ReJtl5VEzyaQQ0smlPnJiaxNbUBxohuTgKHW++ttkNQDJdg8lg4wOUpJtsZJVNQWG2Mf2IWTKziWz6CUA+5Y2mUJoV2lz1zPps+ZfbkKk+TYQmT35goVOvcL6/Xpo3p5r6fSovSP4hmQzqadoC+fQyxivqx/XMkJfZ4y/1cmnMNqYWkqVLpukBIL0fyabiMXmq19VUeOd+LQon+wwJ9hkqM3xMRkRERG7NbVqGiIiIyhN2oC4/XNoyVLNmTSiKUmwZMWIEAEAIgbi4OISHh8PT0xMdO3bEkSNHXFlkIiKiMmESGqcXKhsuPZN79+5FWlqaZUlMTAQAPPbYYwCAOXPmYN68eXjnnXewd+9ehIaGomvXrrh69aori01ERESViEuDoWrVqiE0NNSyfPPNN6hduzY6dOgAIQQWLFiAyZMno1+/fmjYsCFWrlyJ69evY/Xq1a4sNhERkdPMUGCGxomFj8nKSrlpY8vPz8eqVaswdOhQKIqC1NRUpKeno1u3bpZtjEYjOnTogN27d6vuJy8vD1lZWVYLERFReVPUZ8iZhcpGuQmGvvrqK1y5cgVDhgwBAKSnpwMAQkJCrLYLCQmxpJVk1qxZ8Pf3tyyRkZG3rcxERERU8ZWbYGj58uV48MEHER4ebrVeuWUcCSFEsXU3mzhxIjIzMy3L+fPnb0t5iYiInMEO1OVHuXi1/uzZs9i2bRvWr19vWRcaGgrgRgtRWFiYZX1GRkax1qKbGY1GGI3G21dYIiKiMnCjz5ATE7XyMVmZKRdhZXx8PIKDg9GzZ0/LuujoaISGhlreMANu9CtKSkpCmzZtXFFMIiKiMmP+/+k4HF3M5eNXeKXg8pYhs9mM+Ph4DB48GDrd/4qjKApGjx6NmTNnom7duqhbty5mzpwJLy8vDBgwwIUlJiIiosrE5cHQtm3bcO7cOQwdOrRY2oQJE5CTk4Phw4fj8uXLaNmyJbZu3QpfX18XlJSIiKjsONvvx+TE3ItkzeXBULdu3SBUPlBFURAXF4e4uLg7WygiIqLbzOzkoy4zGAyVFZcHQ3fK3/eaofFUmR3ZmceukmtRMdmYjVsyTbhiY4ZpTYH6vm3N5C3lxHdLkUw+rVGfABwAoM1RT9NL0gBAf0290Lrr8hmzdXnqeZVC+clQzJK8kjQAUEySdCfyanPls3xrCtTzagpszIheqH7NmQw2vkQe6nkLbcx4Xyh5H0LIvybQ5qvv22yQH1cjO8/X5Re0YpJ8CYV8BvgCb/Vy5QRLs6LQS73M+qvy+uolA/vrr8lvKposyZdUY+O6iqymmpZbzUOaNzdA/QLI91Wvb4GPpDx5AHZJD0uVkNsEQ0REROWJSSgwCScmanUiL1ljMEREROQCRW+FOZ6fj8nKCt/LIyIiIrfGliEiIiIXMAsNzE68TWbm22RlhsEQERGRC/AxWfnBx2RERETk1tgyRERE5AJmOPdGmHzgELIHgyEiIiIXcH7QRT7cKSsMhoiIiFzA+ek4GAyVFZ5JIiIicmtsGSIiInIBMxSY4UyfIY5AXVYYDBEREbkAH5OVHzyTREREbmDWrFlo0aIFfH19ERwcjD59+uD48eNW2/z5558YMmQIwsPD4eXlhR49euDkyZNW2+Tl5SE2NhZVq1aFt7c3evXqhQsXLtzJqpQ5BkNEREQuUDToojOLPZKSkjBixAjs2bMHiYmJKCwsRLdu3XDt2jUAgBACffr0wenTp7Fhwwbs378fUVFR6NKli2UbABg9ejQSEhKwZs0aJCcnIzs7Gw8//DBMJlOZnp87yW0ek3mEXoPWy/4PSjgxBoStsUHNJvUL2VQov8gLZOmumsnYJDlugbxMSp56fXTZ8nOhv6q+b322Vp73mvqnpM2XZoU2Xz2vYpJ/+toC9XSNZL8AoM1Tv45tHRcm9ZFJFNnnd2ML1RSzXp7TLPkYFBtTCuhyJYk2qqvIBmKxcdxCT8l1F+Bh48DqSXmB8ttunr96Wn6A/B4mPNQrrCmQf0hCo15oWRoAmAK9VdOuh3lK816uq35xXIuS11dTRf3iULSSz1dyjzRfl11wZcssFJidGWfIzrybN2+2+jk+Ph7BwcFISUlB+/btcfLkSezZsweHDx/G3XffDQBYsmQJgoOD8dlnn+HZZ59FZmYmli9fjk8++QRdunQBAKxatQqRkZHYtm0bunfv7nB9XIktQ0RERG4oMzMTABAYGAjgxuMvAPDw+F+wr9VqYTAYkJycDABISUlBQUEBunXrZtkmPDwcDRs2xO7du+9U0cscgyEiIiIXMDv5iKxo0MWsrCyrpSiokRFCYMyYMWjXrh0aNmwIAGjQoAGioqIwceJEXL58Gfn5+Zg9ezbS09ORlpYGAEhPT4fBYEBAQIDV/kJCQpCenl7GZ+jOYTBERETkAkWz1juzAEBkZCT8/f0ty6xZs2wee+TIkTh48CA+++wzyzq9Xo9169bhxIkTCAwMhJeXF3bu3IkHH3wQWq28y4EQAopScV/1d5s+Q0RERJXR+fPn4efnZ/nZaDRKt4+NjcXGjRvx/fffIyIiwiqtWbNmOHDgADIzM5Gfn49q1aqhZcuWaN68OQAgNDQU+fn5uHz5slXrUEZGBtq0aVOGtbqz2DJERETkAiYoTi8A4OfnZ7WoBUNCCIwcORLr16/H9u3bER0drVo2f39/VKtWDSdPnsQvv/yC3r17A7gRLOn1eiQmJlq2TUtLw+HDhyt0MMSWISIiIhe4+VGXo/ntMWLECKxevRobNmyAr6+vpY+Pv78/PD1vvPX3xRdfoFq1aqhRowYOHTqEl156CX369LF0mPb398ewYcMwduxYBAUFITAwEOPGjUOjRo0sb5dVRAyGiIiIXMAEWFp3HM1vj6VLlwIAOnbsaLU+Pj4eQ4YMAXCjlWfMmDH4888/ERYWhkGDBuH111+32n7+/PnQ6XTo378/cnJy0LlzZ6xYscJmv6LyjMEQERGRGxA2xtYCgFGjRmHUqFHSbTw8PLB48WIsXry4rIrmcgyGiIiIXOBOPyYjdQyGiIiIXIATtZYfPJNERETk1tgyRERE5AICCsxOdKAWTuQlawyGiIiIXICPycoPnkkiIiJya27TMlSQp4dJqy8xzVyo3tQozDbiRbMkTdhowpQcFwXyvIpJPV2x8fakrFhCayOzZBgJoVM/GYpRdqIAeBWqJhVUkZ+L/AL1z0hzTT7uhT5TPa8hU5oVhmz1culy5OfRnKeertPI88o+P22B/DwrJvV92/oj06xX38BklH9GBV6SdBtfE02Bepo2X36uZN+FAi95hXMDJfUt+VZiYZakm7zkefOrSArtIx9ZRmdQTy8IlJ/oq1Hqvw7yfT1U0wBIP8PcavKsBeHqk4r6B16T5tVp1a/3/AL1+hQUqt8XTIXq96KyZhYKzLZ+T9jIT2XDbYIhIiKi8qRo9nln8lPZ4JkkIiIit8aWISIiIhfgY7Lyg8EQERGRC5ihgdmJBzTO5CVrDIaIiIhcwCQUmJxo3XEmL1ljWElERERujS1DRERELsA+Q+UHgyEiIiIXEE7OWi84AnWZ4ZkkIiIit8aWISIiIhcwQYHJiclWnclL1hgMERERuYBZONfvx2xj9iQqPT4mIyIiIrfGliEiIiIXMDvZgdqZvGSNwRAREZELmKHA7ES/H2fykjW3CYa0hkJoDYUlpgm9+gWlKPKHslqNWTVNp1VPs6WgUCtNL5Skm002/lqQVcks/3IJyb4VWXVtnEed0aSa5umRL80r+4xy8/XSvHk+HqppZoM8r7RMhfLzqKhXFwVeNvbtqf7ZKyb5daOYHO9kIOvaoJV/RBCSz8jkIT9XZsnHILQ2fhlIqms2yLMW+Kin5fvK85q81L8MQif/DIRBPa9Gcr8BAI3knmOskivNW+itfu3k15BfVzJag+RiB+Chcl8GgEIb17PsPmk2q9+rtLJ7s/bOdcThCNTlB9vYiIiIyK25TcsQERFRecI+Q+WHy8/kxYsXMXDgQAQFBcHLywv33HMPUlJSLOlCCMTFxSE8PByenp7o2LEjjhw54sISExEROc8MxTIlh0ML+wyVGZcGQ5cvX0bbtm2h1+uxadMmHD16FHPnzkWVKlUs28yZMwfz5s3DO++8g7179yI0NBRdu3bF1atXXVdwIiIisptWq0VGRkax9ZcuXYJW63jfNGe59DHZm2++icjISMTHx1vW1axZ0/J/IQQWLFiAyZMno1+/fgCAlStXIiQkBKtXr8bzzz9/p4tMRERUJoSTb5OJCtgyJETJHdTz8vJgMNh4q+E2cmkwtHHjRnTv3h2PPfYYkpKSUL16dQwfPhzPPfccACA1NRXp6eno1q2bJY/RaESHDh2we/fuEoOhvLw85OXlWX7Oysq6/RUhIiKykzvNWr9o0SIAgKIo+PDDD+Hj87/XNU0mE77//ns0aNDAVcVzbTB0+vRpLF26FGPGjMGkSZPw888/Y9SoUTAajRg0aBDS09MBACEhIVb5QkJCcPbs2RL3OWvWLEydOvW2l52IiIhKZ/78+QButAy99957Vo/EDAYDatasiffee89VxXNtMGQ2m9G8eXPMnDkTANC0aVMcOXIES5cuxaBBgyzbKYp19CuEKLauyMSJEzFmzBjLz1lZWYiMjLwNpSciInKcO71NlpqaCgDo1KkT1q9fj4CAABeXyJpLg6GwsDDExMRYrbvrrruwbt06AEBoaCgAID09HWFhYZZtMjIyirUWFTEajTAajbepxERERGXDnR6TFdmxY4eri1AilwZDbdu2xfHjx63WnThxAlFRUQCA6OhohIaGIjExEU2bNgUA5OfnIykpCW+++eYdLy8RERE558KFC9i4cSPOnTuH/Hzr4evnzZvnkjK5NBh6+eWX0aZNG8ycORP9+/fHzz//jGXLlmHZsmUAbjweGz16NGbOnIm6deuibt26mDlzJry8vDBgwABXFp2IiMgp7jg32XfffYdevXohOjoax48fR8OGDXHmzBkIIXDvvfe6rFylCoaKXmu3x3vvvYfg4GDpNi1atEBCQgImTpyIadOmITo6GgsWLMBTTz1l2WbChAnIycnB8OHDcfnyZbRs2RJbt26Fr6+NyYGIiIjKMXd8TDZx4kSMHTsW06ZNg6+vL9atW4fg4GA89dRT6NGjh8vKVapg6KuvvkL//v3h6elZqp2uXr0a2dnZNoMhAHj44Yfx8MMPq6YrioK4uDjExcWV6thEREQVgTsGQ8eOHcNnn30GANDpdMjJyYGPjw+mTZuG3r1748UXX3RJuUr9mGzRokWlCm4A4Msvv3S4QLeLViNUZ5jXatRnKbY1a71epz4js7dBPpW3Uas+W7MthZIZmU023jCQfYGu58sHvcq+rt45Pf+ael5RIC9TgRNPbA2SWa+Nehvn2F99Ju881ZT/T5dMpy6blR6Qz7aumOU3OOnHa2PCbdnlrJjlmTWSU6kpkOfV5UnqZOM7ViiZ1d5sY8BajeRzUGxcGlrJJO9aG2PDCb16mU02Zq2XPfkQNq6Nwnz1E6LVyy9Kg1H9hGi95PcyjeQztHUP1UlmkNcqktnlbxNTobyu5Bxvb2/LWIDh4eE4deoU7r77bgDA33//7bJyleo30I4dOxAYGFjqnW7atAnVq1d3uFBERESVnTu2DLVq1Qo//PADYmJi0LNnT4wdOxaHDh3C+vXr0apVK5eVq1TBUIcOHezaabt27RwqDBERkbtwx2Bo3rx5yM7OBgDExcUhOzsba9euRZ06dSwDM7qCQyM2mc1mnDhxAsnJyfj++++tFiIiIip/Zs2ahRYtWsDX1xfBwcHo06dPseFtsrOzMXLkSERERMDT0xN33XUXli5darVNXl4eYmNjUbVqVXh7e6NXr164cOFCqcpQq1YtNG7cGADg5eWFJUuW4ODBg1i/fr1lWB1XsLujxp49ezBgwACcPXu22IRriqLAZLLRWYKIiIgg4Nzr8TZ6nxWTlJSEESNGoEWLFigsLMTkyZPRrVs3HD16FN7e3gBuDHmzY8cOrFq1CjVr1sTWrVsxfPhwhIeHo3fv3gCA0aNH4+uvv8aaNWsQFBSEsWPH4uGHH0ZKSsptmXnenm46wI1YZN++fXYFV3YHQy+88AKaN2+Ob7/9FmFhYarTYhAREZG6O/2YbPPmzVY/x8fHIzg4GCkpKWjfvj0A4Mcff8TgwYPRsWNHAMC///1vvP/++/jll1/Qu3dvZGZmYvny5fjkk0/QpUsXAMCqVasQGRmJbdu2oXv37g7XR82VK1ewYMEC+Pv729xWCIHhw4fb3TBjdzB08uRJfPnll6hTp469WYmIiKiMZWVlWf1c2mmpMjMzAVi3vLRr1w4bN27E0KFDER4ejp07d+LEiRNYuHAhACAlJQUFBQXo1q2bJU94eDgaNmyI3bt335ZgCACeeOKJUr/RHhsba/f+7e4z1LJlS/z+++92H4iIiIj+p6hlyJkFACIjI+Hv729ZZs2aZfPYQgiMGTMG7dq1Q8OGDS3rFy1ahJiYGERERMBgMKBHjx5YsmSJ5cWo9PR0GAyGYhOthoSEID09vQzPzv+YzeZSB0IAcPXqVdSqVcuuY5SqZejgwYOW/8fGxmLs2LFIT09Ho0aNoNdbj7VS1DGKiIiI1JXVY7Lz58/Dz8/Psr40rUIjR47EwYMHkZycbLV+0aJF2LNnDzZu3IioqCh8//33GD58OMLCwiyPxUoihLCr20x+fj5SU1NRu3Zt6HS2Q5GLFy/aHLLn008/tZrBwh6lCobuueceKIpi1WF66NChlv8XpbEDNRER0Z3l5+dnFQzZEhsbi40bN+L7779HRESEZX1OTg4mTZqEhIQE9OzZE8CNBo4DBw7g7bffRpcuXRAaGor8/HxcvnzZqnUoIyMDbdq0sXns69evIzY2FitXrgRwY3L2WrVqYdSoUQgPD8err75aYr6uXbvihx9+KNYiVWT16tV45plnHA6GSvWYLDU1FadPn0ZqamqJS1Ha6dOnHSoEERGRuymrx2SlJYTAyJEjsX79emzfvh3R0dFW6QUFBSgoKIBGYx0aaLVamM03RgNv1qwZ9Ho9EhMTLelpaWk4fPhwqYKhiRMn4tdff8XOnTvh4eFhWd+lSxesXbtWNV9wcDB69OiBa9euFUtbs2YNhgwZgjfffNPm8dWUqmXo5tfTvv/+e7Rp06ZYs1ZhYSF2797t0nECiIiIKgohFAgnHpPZm3fEiBFYvXo1NmzYAF9fX0sfH39/f3h6esLPzw8dOnTA+PHj4enpiaioKCQlJeHjjz/GvHnzLNsOGzYMY8eORVBQEAIDAzFu3Dg0atRI+hityFdffYW1a9eiVatWVo/VYmJicOrUKdV833zzDTp27IjevXtj06ZNli46n3/+OQYNGoSZM2fi5Zdftut83MzuDtSdOnXCP//8U2x9ZmYmOnXq5HBBiIiI3IkZitOLPZYuXYrMzEx07NgRYWFhluXmFpk1a9agRYsWeOqppxATE4PZs2djxowZeOGFFyzbzJ8/H3369EH//v3Rtm1beHl54euvvy7VGEN//fVXiZ2hr127Ju1z5OPjg02bNuHixYt44oknIITAF198gYEDB+I///kPxo0bZ9e5uJXdr9ardZK6dOmSZdAmIiIiKl9uHSi5JKGhoYiPj5du4+HhgcWLF2Px4sV2l6FFixb49ttvLa+/F8UTH3zwAVq3bi3NW61aNWzduhXt2rVDly5dkJycjClTpuCVV16xuxy3KnUw1K9fPwA3Cj5kyBCr3uomkwkHDx4s1fNCIiIics+5yWbNmoUePXrg6NGjKCwsxMKFC3HkyBH8+OOPSEpKUs1381vtb731FgYNGoS+ffvikUcesUpz9I32UgdDRSM/CiHg6+sLT09PS5rBYECrVq3w3HPPOVSIO0GvM0GrK/lNN53WfFuOmV8oP72yC1mnyMukKOoRvlFbKM2r06jv21NX4HDeTI16mQpy5edC9uzbVCh/mpsvuYz1evm58DRK6mtjsNO8PPVyaXPkzcUayUuXiq0XMp24/8n2rZht7VjyV6Wtm7Ik2ayT5xWSS8fWudLkS/KabfyVLGmy1+bKswpJnYRWfj2bterlEjZ6NgjJ5S4KbBzXoH4yDR427ikG9e+RQSv/kIyS76it+5FB8kWSPULKN6l/PwtNedJjlqU73WeoPGjTpg12796Nt956C7Vr18bWrVtx77334scff0SjRo1U8938VnvRv59//jm++OILS4uXM2+0lzoYio+PhxACQggsXrwYvr6+Dh2QiIiI3E9BQQH+/e9/4/XXX7e8Wl9aqampt6lUN9jVZ0gIgdWrV2Py5MkMhoiIiJzgbo/J9Ho9EhIS8Prrr9ud93a/qW5XMKTRaFC3bl1cunQJdevWvV1lIiIiqvTc8TFZ37598dVXX2HMmDEO5b+5f9DNFEWBh4cHatSoUaoRuG9l99tkc+bMwfjx47F06VKr+UyIiIiIZOrUqYP//Oc/2L17N5o1a1bsLfRRo0ZJ8xf1HVKj1+vx+OOP4/3337ca1NEWu4OhgQMH4vr162jSpAkMBoNVR2oAJY5BRERERNaEk4/JKmLL0IcffogqVaogJSUFKSkpVmmKotgMhhISEvDKK69g/PjxuO+++yCEwN69ezF37lxMmTIFhYWFePXVV/Haa6/h7bffLnW57A6GFixYYG8WIiIiuoUAUIqhf6T5KxpnO0LPmDEDCxcuRPfu3S3rGjdujIiICLz++uv4+eef4e3tjbFjx97eYGjw4MH2ZiEiIiJy2qFDh0rsTB0VFYVDhw4BuPEoLS0tza792h0MATcGWfzqq69w7NgxKIqCmJgY9OrVq1RDcRMREdGNsZAUJwYOs3c6jvJg6NCh0vSPPvpImt6gQQPMnj0by5Ytg8FgAHDjlf3Zs2ejQYMGAICLFy8iJCTErnLZHQz9/vvveOihh3Dx4kXUr18fQgicOHECkZGR+Pbbb1G7dm17d0lEROR23PFtssuXL1v9XFBQgMOHD+PKlSt44IEHbOZ/99130atXL0RERKBx48ZQFAUHDx6EyWTCN998AwA4ffo0hg8fble57A6GRo0ahdq1a2PPnj0IDAwEcGNesoEDB2LUqFH49ttv7d0lERGR2zELBYobjTME3OgAfSuz2Yzhw4ejVq1aNvO3adMGZ86cwapVq3DixAkIIfDoo49iwIABlvEPn376abvLZXcwlJSUZBUIAUBQUBBmz56Ntm3b2l0AIiIicl8ajQYvv/wyOnbsiAkTJtjc3sfHBy+88ELZlsHeDEajEVevXi22Pjs72/L8joiIiOSEcH6pLE6dOoXCQvkceEU++eQTtGvXDuHh4Th79iwAYP78+diwYYPDx7e7Zejhhx/Gv//9byxfvhz33XcfAOCnn37CCy+8gF69ejlcECIiInfijn2Gbh15WgiBtLQ0fPvtt6V6W33p0qV44403MHr0aEyfPt0yMWtAQAAWLFiA3r17O1Quu4OhRYsWYfDgwWjdujX0ej0AoLCwEL169cLChQsdKgQRERFVfvv377f6WaPRoFq1apg7d67NN80AYPHixfjggw/Qp08fzJ4927K+efPmGDdunMPlsjsYqlKlCjZs2ICTJ0/it99+gxACMTExqFOnjsOFuBN0WjO0WnOJaVpFva1RI0kDAK2m5H3aSrtxXPV0nY28MrbKrJEM1eWlK5DmNXiZ1NN06k2cl7Ve0v3mXFN/xGrKkV+m5gL1p735Ovl5zPVUL7NWb+Mz8FA/F4Xe8mEmtHnqabpc+WEV9cNCI//4oM1X/+wll+MNksvKxiUHs+SBvFkvz1somWbI1nFlZdbmyf+qlp5nG635sryKrScBkutZgfxDElpJhW10itBIvit6naRCAAxa2X1BnteoVT8hPvp8aV4vnXq6QfIhmYXkniHkxyxL7tgytGPHDqfyp6amomnTpsXWG41GXLt2zeH92t1nqEjdunXxyCOPoFevXuU+ECIiIipvimatd2apaB544AFcuXKl2PqsrKxSvVofHR2NAwcOFFu/adMmxMTEOFwuu1uGTCYTVqxYge+++w4ZGRkwm63/mti+fbvDhSEiIqLKa+fOncjPL976lpubi127dtnMP378eIwYMQK5ubkQQuDnn3/GZ599hlmzZuHDDz90uFx2B0MvvfQSVqxYgZ49e6Jhw4bS2WOJiIioZM6+EVaR3iY7ePCg5f9Hjx5Fenq65WeTyYTNmzejevXqNvfzzDPPoLCwEBMmTMD169cxYMAAVK9eHQsXLsQTTzzhcPnsDobWrFmDzz//HA899JDDByUiInJ3N4IhZ/oMlWFhbrN77rkHiqJAUZQSH4d5enpi8eLFpdrXc889h+eeew5///03zGYzgoODnS6f3cGQwWBgHyEiIiIqtdTUVAghUKtWLfz888+oVq2aJc1gMCA4ONju+U2rVq1aZuWzOxgaO3YsFi5ciHfeeYePyIiIiBzkTm+TFc00f2s/49Jo2rRpqeONffv22b1/wIFgKDk5GTt27MCmTZtw9913W8YaKrJ+/XqHCkJEROROBKSjP5Qqf0V19OhRnDt3rlhn6pIGb+7Tp4/l/7m5uViyZAliYmLQunVrAMCePXtw5MgRuydnvZlD4wz17dvX4QMSERGRe7UMFTl9+jT69u2LQ4cOQVEUiP/v+FTU8lM0ovTNpkyZYvn/s88+i1GjRuE///lPsW3Onz/vcLnsDobi4+NLtd0PP/yA5s2bw2iUjJhGREREbuOll15CdHQ0tm3bZuk/dOnSJYwdOxZvv/22zfxffPEFfvnll2LrBw4ciObNm+Ojjz5yqFwOD7poy4MPPoiLFy/ert0TERFVbKIMlgrmxx9/xLRp01CtWjVoNBpoNBq0a9cOs2bNwqhRo2zm9/T0RHJycrH1ycnJ8PDwcLhcdrcMlZaoSO/8ERER3WlOPiZDBXxMZjKZ4OPjA+DG22B//PEH6tevj6ioKBw/ftxm/tGjR+PFF19ESkoKWrVqBeBGn6GPPvoIb7zxhsPlum3BEBEREdHNGjZsiIMHD6JWrVpo2bIl5syZA4PBgGXLlqFWrVo287/66quoVasWFi5ciNWrVwMA7rrrLqxYsQL9+/d3uFwMhoiIiFzAnUagLvLaa69ZJlSdPn06Hn74Ydx///0ICgrC2rVrS7WP/v37OxX4lITBEBERkQu449tk3bt3t/y/Vq1aOHr0KP755x8EBAS4dOzC2xYMlbcBGbUQ0CplH0Yrkn1qFfngUjqNerosDQA0TvScM0P9syk0O96n3ltffPI9y3495COLFhSqp5vz5Jepkq9eH811eV5xXf24+Z7yz0DRq6cXBhRK80JRP67IlH93dNfU0zTqH8GNw0qqZOu+avJU38BkkOeVXHIw27gLFXrLyiT/HmgK1A+svyo/ruxcmm3Ut8BHvVwmf/m1IbuubNFo1I+rMxR/Zflmer16ufQ6eV6DJN3PmCvNW8WQo5rmq8uT5vWWpOsV9TKZJe8O5RUUSI9JjissLISHhwcOHDiAhg0bWtYHBgZK8wUGBuLEiROlHnG6Ro0a2LVrl2Wgx9JgB2oiIiJXEIpznaArWMuQTqdDVFRUiWMJyVy5cgWbNm2Cv79/qba/dOmS3cewOxjKycmBEAJeXl4AgLNnzyIhIQExMTHo1q2bZburV2382UVEROTG3LXP0MSJE7Fq1SqbLUI3Gzx48G0slQPjDPXu3Rsff/wxgBvRWsuWLTF37lz07t0bS5cutWtfcXFxlllsi5bQ0FBLuhACcXFxCA8Ph6enJzp27IgjR47YW2QiIiIqBxYtWoRdu3YhPDwc9evXx7333mu1lMRsNtu9lObNtJvZ3TK0b98+zJ8/HwDw5ZdfIiQkBPv378e6devwxhtv4MUXX7Rrf3fffTe2bdtm+fnmWWvnzJmDefPmYcWKFahXrx6mT5+Orl274vjx4/D19bW36EREROWHG05OdvM8Y+WJ3cHQ9evXLYHI1q1b0a9fP2g0GrRq1Qpnz561vwA6nVVrUBEhBBYsWIDJkyejX79+AICVK1ciJCQEq1evxvPPP2/3sYiIiMoLd3yb7OZ5xsoTux+T1alTB1999RXOnz+PLVu2WPoJZWRkwM/Pz+4CnDx5EuHh4YiOjsYTTzyB06dPAwBSU1ORnp5u1Q/JaDSiQ4cO2L17t+r+8vLykJWVZbUQERGVS240FUeRK1eu4MMPP8TEiRPxzz//ALjx1MmVU3jZHQy98cYbGDduHGrWrIn77rsPrVu3BnCjlahp06Z27atly5b4+OOPsWXLFnzwwQdIT09HmzZtcOnSJaSnpwMAQkJCrPKEhIRY0koya9Ys+Pv7W5bIyEg7a0hERFT5zJo1Cy1atICvry+Cg4PRp0+fYlNg3NqPt2h56623LNvk5eUhNjYWVatWhbe3N3r16oULFy6UqgwHDx5EvXr18Oabb+Ltt9/GlStXAAAJCQmYOHFimdXVXnYHQ48++ijOnTuHX375BVu2bLGs79y5s6UvUWk9+OCD+Ne//oVGjRqhS5cu+PbbbwHceBxW5NbxioQQ0jGMJk6ciMzMTMty/vx5u8pERER0JxQ9JnNmsUdSUhJGjBiBPXv2IDExEYWFhejWrZtlRGgASEtLs1o++ugjKIqCf/3rX5ZtRo8ejYSEBKxZswbJycnIzs7Gww8/XKrX2ceMGYMhQ4bg5MmTVhOrPvjgg/j+++/tqk9ZcmicodDQUGRnZyMxMRHt27eHp6cnWrRo4fRAi97e3mjUqBFOnjxp6WSVnp6OsLAwyzYZGRnFWotuZjQaYTQanSoHERHRbXeHO1Bv3rzZ6uf4+HgEBwcjJSUF7du3B4BifXg3bNiATp06Wd7OyszMxPLly/HJJ5+gS5cuAIBVq1YhMjIS27ZtsxphuiR79+7F+++/X2x99erVpU991Pz111+oUqUK9Hq93XlvZnfL0KVLl9C5c2fUq1cPDz30ENLS0gAAzz77LMaOHetUYfLy8nDs2DGEhYUhOjoaoaGhSExMtKTn5+cjKSkJbdq0ceo4RERElcWt/WTz8uQjdxfJzMwEoD4C9J9//olvv/0Ww4YNs6xLSUlBQUGBVX/e8PBwNGzYUNqft4iHh0eJfXmPHz+OatWqqeZbtmyZpV5CCMycORMBAQEIDQ1FlSpVMGbMGJjNTozebm+Gl19+GXq9HufOnbMMvAgAjz/+eLGo05Zx48YhKSkJqamp+Omnn/Doo48iKysLgwcPhqIoGD16NGbOnImEhAQcPnwYQ4YMgZeXFwYMGGBvsYmIiMoZpQwWIDIy0qqv7KxZs2weWQiBMWPGoF27dlZTY9xs5cqV8PX1tbzRDdx4WmMwGBAQEGC1ra3+vEV69+6NadOmoeD/pz1RFAXnzp3Dq6++avUo7lYvvviiJXhbtmwZZs6ciddffx27du3Cm2++iY8++ghLliyxeXw1dj8m27p1K7Zs2YKIiAir9XXr1rX71foLFy7gySefxN9//41q1aqhVatW2LNnj2U+kQkTJiAnJwfDhw/H5cuX0bJlS2zdupVjDBERUcVXRo/Jzp8/b/U2d2m6iowcORIHDx5EcnKy6jYfffQRnnrqKau+PapFsdGft8jbb7+Nhx56CMHBwcjJyUGHDh2Qnp6O1q1bY8aMGdL9F1m+fDn+85//4OWXXwYAtGnTBh4eHli8eDFGjhxpswwlsTsYunbtmlWLUJG///7b7r46a9askaYrioK4uDjExcXZtV8iIiJ34efnZ9fQNrGxsdi4cSO+//77Yg0bRXbt2oXjx49j7dq1VutDQ0ORn5+Py5cvW7UOZWRklKoLi5+fH5KTk7F9+3bs27cPZrMZ9957r6X/kUxRsJWamorOnTtbpT3wwAOW4MgRdgdD7du3x8cff4z//Oc/lsKZzWa89dZb6NSpk8MFISIicit3uAO1EAKxsbFISEjAzp07ER0drbrt8uXL0axZMzRp0sRqfbNmzaDX65GYmIj+/fsDuPEG2uHDhzFnzpxSl+WBBx7AAw88YFf5N2/eDH9/f3h6eiInJ8cqLScnBxqN3T1/LOwOht566y107NgRv/zyC/Lz8zFhwgQcOXIE//zzD3744QeHC3K76XWF0Om0JabpFMc7XZnh+Bt0GkX9SrZVJg9toXpejfz1RrNQv2DyzSWfoyKFZvW8XtoC1TQPb/XyAoBOq17mDGlOIE+ot0hqs+X10eao10ebK/9sTZ7qeYVR/vkVeql/9kqh/Liyt2nNNr7RpnxJZhs31gIfSZqNJ9dC/jFImTzVz6XZW36tKyb1+pp18pNlkIzXauNrAtltQdHJrw2dUf27YusphKJR/xBl9xtbTGb5gbUa9Tr56PKleasarqmm+elyVNMAQG/jXqemQPYBKur3sTJ3h2etHzFiBFavXo0NGzbA19fX0senKMAokpWVhS+++AJz584ttg9/f38MGzYMY8eORVBQEAIDAzFu3DjLEDml8d1332H+/Pk4duwYFEVBgwYNMHr0aJv5b56s9bvvvkPLli0tP//444+oXbt2qY5fErvDqJiYGBw8eBAtWrRA165dce3aNfTr1w/79+93qiBERER0+yxduhSZmZno2LEjwsLCLMutj8LWrFkDIQSefPLJEvczf/589OnTB/3790fbtm3h5eWFr7/+2mpuUTXvvPMOevToAV9fX7z00ksYNWoU/Pz88NBDD+Gdd95RzXfrRKyTJk2ySg8NDS1Vx3E1iri5V1IllJWVBX9/f7T8ahR03iW3INyuliGtjf0aJK0hBht/8ZTHliGd5K9Ds42/YC7lFu+HViQjU97skJfpeMuQJlfy94CNv6RNnurptlqGkK9+XH2W/G8U3XX1NG2u/LBa2R/pbtYypLt8+1qG8gPUT6Y5UN5SovNwTcuQRvL91evk59nfU/3CC/HMluYN9VA/0a5oGcrLLsDctt8gMzPToSmmSqPo91LEO1Oh8bTdOVmNOScXF0ZOua1lLWvVq1fHxIkTi3V0fvfddzFjxgz88ccfLimXQ4Mu7tq1C++//z5Onz6NL774AtWrV8cnn3yC6OhotGvXrqzLSEREVPm44az1WVlZ6NGjR7H13bp1wyuvvGIz/+nTp5GcnIy0tDRotVpER0eja9euTgeDdj8mW7duHbp37w5PT0/s27fPMgjS1atXMXPmTKcKQ0RE5DaK+gw5s1QwvXr1QkJCQrH1GzZswCOPPKKa79q1a3jsscdQp04dDBkyBJMmTcLcuXPx+OOPo3r16nj33XedKpfdLUPTp0/He++9h0GDBlm9Gt+mTRtMmzbNqcIQERFR5XXXXXdhxowZ2Llzp2Wi9z179uCHH37A2LFjsWjRIsu2o0aNsvx/zJgxSEtLw/79++Hh4YHJkyejdu3amDJlCtasWYPY2FgEBAQ4PCiz3cHQ8ePHLXOY3MzPz88y+ywRERHJKcJm10Sb+Sua5cuXIyAgAEePHsXRo0ct66tUqYLly5dbflYUxSoYWr9+PTZv3mx51f+DDz5AeHg4pkyZgqFDhyInJwdvvfXWnQuGwsLC8Pvvv6NmzZpW65OTky0TuREREZENbthnKDU11aF8hYWFVv2CfHx8UFhYaBkIulu3bhg3bpzD5bK7z9Dzzz+Pl156CT/99BMURcEff/yBTz/9FOPGjcPw4cMdLggRERFRSVq0aIGFCxdafl64cCGqVatmmdw1OzsbPj6SV15tsLtlaMKECcjMzESnTp2Qm5uL9u3bw2g0Yty4cQ7PCUJEROR27vCgi+WBEAJffvklduzYgYyMjGIzza9fv77EfLNnz0bXrl2xbt06GAwGpKenY+XKlZb03bt346GHHnK4XHYFQyaTCcnJyRg7diwmT56Mo0ePwmw2IyYmxqmIjIiIyO244WOyl156CcuWLUOnTp0QEhJSqsldAeDee+/F4cOH8c033yAvLw8PPPAAYmJiLOkjRozAiBEjHC6XXcGQVqtF9+7dcezYMQQGBqJ58+YOH5iIiIjcy6pVq7B+/XqHWnHCwsLw3HPP3YZSOfCYrFGjRjh9+rR0gjciIiKywQ1bhvz9/Z162Wr79u3FBl3s1asX6tat61S57O5APWPGDIwbNw7ffPMN0tLSkJWVZbUQERFRKYgyWCqYuLg4TJ06tdis87ZkZGSgZcuW6NKlC6ZNm4Zly5Zhz549ePvtt3HXXXdhwoQJTpXL7pahomG0e/XqZfWsTwgBRVFgMjk2V8zt5qkrgE5XcuznzJxajs7VBQA+evU5ijwkM8ADgMaZb4Ezc7FJzods7iNbc63J5hgyS+aXAuSzvNvsXyg5jbrrNmbqlsxqX+Arz2v2UP8MCn3ln4/ZIJkPT1ImQD6vmcbGZN1m9SngYPKWl9nkpZ5uaxZ3Ra+erpXMxQUA5gL1OagK/WzM4echOZc2ZnEXOkm5bOWVXLR6vfq8ZQBgkKTb6poh+/76GPOkeat5qs88H2SUz03mrVPft1Ejr69s/keTZA5GWV1tzeFGznnsscfw2WefITg4GDVr1oRer7dK37dvX4n5Ro0ahfDwcPzzzz8wGo0YP348rl69il9++QXbt29H//79Ub16dbz00ksOlcvuYGjHjh0OHYiIiIhu4oZvkw0ZMgQpKSkYOHCgXR2oN23ahN27d6NKlSoAgDfffBMBAQFYvHgxHnjgASxYsADTp0+/c8FQhw4dHDoQERER/Y87jkD97bffYsuWLXZP6m40Gq0CJ41GA5PJhMLCG62Hbdq0wZkzZxwul93B0MGDB0tcrygKPDw8UKNGDRiNkvZ0IiIicssO1JGRkQ7NMN+uXTu88cYbWLlyJQwGAyZNmoRatWohMDAQAPDXX38hICDA4XLZHQzdc8890mYtvV6Pxx9/HO+//z48PDwcLhgRERFVLnPnzsWECRPw3nvvFZvWS+btt99Gt27dUKVKFSiKAm9vb3zxxReW9GPHjmHIkCEOl8vuYCghIQGvvPIKxo8fj/vuuw9CCOzduxdz587FlClTUFhYiFdffRWvvfYa3n77bYcLRkRERJXLwIEDcf36ddSuXRteXl7FOlD/888/JearVasWDh48iB9++AF5eXlo1aoVqlatakl3JhACHAiGZsyYgYULF6J79+6WdY0bN0ZERARef/11/Pzzz/D29sbYsWMZDBEREalQ4GSfoTIryZ2zYMECh/N6eXmha9euZVeYm9gdDB06dAhRUVHF1kdFReHQoUMAbjxKS0tLc750REREVGkMHjzY1UUokd2DLjZo0ACzZ89Gfv7/xsgpKCjA7Nmz0aBBAwDAxYsXERISUnalJCIiqmyKXq13ZqmATp06hddeew1PPvkkMjIyAACbN2/GkSNHXFYmu4Ohd999F9988w0iIiLQpUsXdO3aFREREfjmm2+wdOlSAMDp06cxfPjwMi8sERFRpeGGI1AnJSWhUaNG+Omnn7B+/XpkZ98YlPPgwYOYMmWKy8pl92Oyonf5V61ahRMnTkAIgUcffRQDBgyAr68vAODpp58u84ISERFRxfbqq69i+vTpGDNmjCVmAIBOnTph4cKFLiuX3cEQAPj4+OCFF14o67IQERG5DzccZ+jQoUNYvXp1sfXVqlXDpUuXSsxjz7ynjoxhBDjwmAwAPvnkE7Rr1w7h4eE4e/YsAGD+/PnYsGGDQ4UgIiJyN0UjUDuzVDRVqlQp8QWr/fv3o3r16qp5AgICpEvRNo6yu2Vo6dKleOONNzB69GhMnz7dMjFrQEAAFixYgN69eztcGCIiIqq8BgwYgFdeeQVffPEFFEWB2WzGDz/8gHHjxmHQoEEl5rkTc6LaHQwtXrwYH3zwAfr06YPZs2db1jdv3hzjxo0r08IRERFVWm74mGzGjBkYMmQIqlevDiEEYmJiYDKZMGDAALz22msl5rkTc6LaHQylpqaiadOmxdYbjUZcu3atTAp1OwQYc6E3mktM02lMqvkKzVrpfvMl6RobbZg+ujzVND9drjSvRim5LgBgFvKnnybJUF226mvQ6FXTZPWVlfdGupdqmtlk42lugXq6rWZkoZVtIH9tVav+8cGsl+c1GyRlUrlOi5g06vsWOvm5kh3X1mu6Jk/JNeet/h0CAK1HoXqa3sa1oZUc19a1IStTUIE03WBQL7Mz9Dr5udJL7kdajfyC1mnV8+psfAf1krzBntnSvGEe6n06/LQ50rweGvXPwShJA+T3ugKhfi/TQ/2z1WjlxyxTbhgM6fV6fPrpp/jPf/6Dffv2wWw2o2nTpqhbt26p97Fr1y68//77OH36NL744gtUr14dn3zyCaKjo+2eALaI3XeS6OhoHDhwoNj6TZs2ISYmxqFCEBERuRt37DM0bdo0XL9+HbVq1cKjjz6K/v37o27dusjJycG0adNs5l+3bh26d+8OT09P7Nu3D3l5N/4qvXr1KmbOnOlwuewOhsaPH48RI0Zg7dq1EELg559/xowZMzBp0iSMHz/e4YIQERFR5TZ16lTL2EI3u379OqZOnWoz//Tp0/Hee+/hgw8+sJrXrE2bNti3b5/D5bL7MdkzzzyDwsJCTJgwAdevX8eAAQNQvXp1LFy4EE888YTDBSEiInIrzo4iXQFHoBZCQFGKl/vXX39FYGCgzfzHjx9H+/bti6338/PDlStXHC6XQ+MMPffcc3juuefw999/w2w2Izg42OECEBERuSU36jMUEBAARVGgKArq1atnFRCZTCZkZ2eXavzCsLAw/P7776hZs6bV+uTkZNSqVcvh8jkUDBWpWrWqM9mJiIjIDSxYsABCCAwdOhRTp06Fv7+/Jc1gMKBmzZpo3bq1zf08//zzeOmll/DRRx9BURT88ccf+PHHHzFu3Di88cYbDpevVMFQ06ZNS2zWKokzz+yIiIjchbOdoCtSB+qi2eqjo6PRtm1b6HSOtcVMmDABmZmZ6NSpE3Jzc9G+fXsYjUaMGzcOI0eOdLh8pSpNnz59LP/Pzc3FkiVLEBMTY4ni9uzZgyNHjnByViIiotJyo8dkRcpizKAZM2Zg8uTJOHr0KMxmM2JiYuDj4+PUPksVDN08k+yzzz6LUaNG4T//+U+xbc6fP+9UYYiIiIjUrFy5Eo8++ii8vb3RvHnzMtuv3a/Wf/HFFyUOmT1w4ECsW7euTApFRERU6Tk7xlAFbBly1rhx4xAcHIwnnngC33zzDQoLy2ZwVLuDIU9PTyQnJxdbn5ycDA8PjzIpFBERUaUnymBxM2lpaVi7di20Wi2eeOIJhIWFYfjw4di9e7dT+7W7B9Po0aPx4osvIiUlBa1atQJwo8/QRx995FRPbiIiIqq8CgsL4eHhgQMHDqBhw4YO7UOn0+Hhhx/Gww8/jOvXryMhIQGrV69Gp06dEBERgVOnTjm0X7tbhl599VV8/PHH2L9/P0aNGoVRo0Zh//79WLFiBV599VWHCkFEROR27nDL0KxZs9CiRQv4+voiODgYffr0wfHjx4ttd+zYMfTq1Qv+/v7w9fVFq1atcO7cOUt6Xl4eYmNjUbVqVXh7e6NXr164cOGCzePrdDpERUXBZJLPz1daXl5e6N69Ox588EHUrVsXZ86ccXhfDs1y2L9/f/zwww/4559/8M8//+CHH35A//79HS4EERGRu7nTc5MlJSVhxIgR2LNnDxITE1FYWIhu3bpZTbJ+6tQptGvXDg0aNMDOnTvx66+/4vXXX7fqBjN69GgkJCRgzZo1SE5ORnZ2Nh5++OFSBTmvvfYaJk6ciH/++ce+wt/k+vXr+PTTT/HQQw8hPDwc8+fPR58+fXD48GGH9+nUoItERERUMWzevNnq5/j4eAQHByMlJcUyxcXkyZPx0EMPYc6cOZbtbh7ZOTMzE8uXL8cnn3yCLl26AABWrVqFyMhIbNu2Dd27d5eWYdGiRfj9998RHh6OqKgoeHt7W6XbGqvwySefxNdffw0vLy889thj2LlzJ9q0aWO78jaUKhgKDAzEiRMnSj3idI0aNbBr1y5ERUU5Vbiy5KfLgUFfctSqUcyq+fLM8lNkMGtV03QaeZTso81XTfPT5UjzGjXqPejNkA+QWSAps8lGY2GhkOR1Yp6cXE+9atpfNsaPyLymnhdX1csLAIpZvcwmG+8DyD5ds07+J5s2V/08C/XL4ka6Vn3fZqP6tQwAZj9JulaeV6NXTzca5Ne64sTocLKrymCQv0mi81Qvl69HnjSvr0E9XSe5ZwCAh1a9XF46+QecL/l+5tu4H8nKZZDcMwDAKClzoP6aahoABEjSvTTy+nooBappekV+XRVI7ke5Qv2+IMtnsvHZlkdZWVlWPxuNRhiNRpv5MjMzAcAyJ5jZbMa3336LCRMmoHv37ti/fz+io6MxceJEy3iDKSkpKCgoQLdu3Sz7CQ8PR8OGDbF7926bwdDN4xY6QlEUrF27Ft27d3d44MaSlGpPV65cwaZNm6yGz5a5dOlSmT0TJCIiqpTKaNDFyMhIq9VTpkxBXFycPKsQGDNmDNq1a2fpzJyRkYHs7GzMnj0b06dPx5tvvonNmzejX79+2LFjBzp06ID09HQYDAYEBARY7S8kJATp6ek2i3zzuIWOWL16teX/ubm5ZfYWe6nDqqKhtImIiMh5ZTUdx/nz5+Hn52dZX5pWoZEjR+LgwYNWQ+WYzTdaxXr37o2XX34ZAHDPPfdg9+7deO+996SjR6vNRl/WzGYzZsyYgffeew9//vknTpw4gVq1auH1119HzZo1MWzYMIf2W6oO1Gaz2e7F3tljZ82aBUVRMHr0aMs6IQTi4uIQHh4OT09PdOzYEUeOHLFrv0RERJWZn5+f1WIrGIqNjcXGjRuxY8cOREREWNZXrVoVOp0OMTExVtvfddddlrfJQkNDkZ+fj8uXL1ttk5GRgZCQkBKPFxgYiL///hvAjdnrAwMDVRdbpk+fjhUrVmDOnDkwGAyW9Y0aNcKHH35oM7+actGBeu/evVi2bBkaN25stX7OnDmYN28eVqxYgXr16mH69Ono2rUrjh8/Dl9fXxeVloiIqIzcwYEThRCIjY1FQkICdu7ciejoaKt0g8GAFi1aFHvd/sSJE5Y+wM2aNYNer0diYqLlLfK0tDQcPnzYqtP1zebPn2/5nb1gwQKn6vDxxx9j2bJl6Ny5M1544QXL+saNG+O3335zeL8uD4ays7Px1FNP4YMPPsD06dMt64UQWLBgASZPnox+/foBuDEnSUhICFavXo3nn3/eVUUmIiJy3h2eqHXEiBFYvXo1NmzYAF9fX0sfH39/f3h6egIAxo8fj8cffxzt27dHp06dsHnzZnz99dfYuXOnZdthw4Zh7NixCAoKQmBgIMaNG4dGjRpZ3i671c3dbGRdbv766y+bdbh48SLq1KlTbL3ZbEZBgXpnfFscGmeoLI0YMQI9e/YsdhJTU1ORnp5u1WPdaDSiQ4cO0mG38/LykJWVZbUQERG5u6VLlyIzMxMdO3ZEWFiYZVm7dq1lm759++K9997DnDlzLI+e1q1bh3bt2lm2KRrXp3///mjbti28vLzw9ddfQ6uVv71bEiEE/vvf/6Jfv35Wj+zU3H333di1a1ex9V988QWaNm1q9/GLuLRlaM2aNdi3bx/27t1bLK0oYr31GWRISAjOnj2rus9Zs2Zh6tSpZVtQIiKiMlZWHahLS4jSZRg6dCiGDh2qmu7h4YHFixdj8eLF9hXgJqdPn8ZHH32ElStXIjs7Gz179sSaNWts5psyZQqefvppXLx4EWazGevXr8fx48fx8ccf45tvvnG4PC5rGTp//jxeeuklrFq1Svpq3K290231WJ84cSIyMzMty/nz58uszERERGXGzSZqzc3NxapVq9CxY0fExMTg119/RVpaGnbt2oVVq1ahb9++NvfxyCOPYO3atfjvf/8LRVHwxhtv4NixY/j666/RtWtXh8vmUMvQqVOnEB8fj1OnTmHhwoUIDg7G5s2bERkZibvvvrtU+0hJSUFGRgaaNWtmWWcymfD999/jnXfesXTgSk9PR1hYmGUbWY91oPSDTREREdGdMXz4cKxZswb169fHwIEDsW7dOgQFBUGv10Ojsa9dpnv37jYHd7SX3S1DSUlJaNSoEX766SesX78e2dnZAICDBw/aNZhS586dcejQIRw4cMCyNG/eHE899RQOHDiAWrVqITQ0FImJiZY8+fn5SEpKKpOht4mIiFzpTs9N5krLli3Diy++iK1bt2LEiBEICgpydZGs2N0y9Oqrr2L69OkYM2aM1evtnTp1wsKFC0u9H19fX8uol0W8vb0RFBRkWT969GjMnDkTdevWRd26dTFz5kx4eXlhwIAB9habiIiofLnDb5O50scff4z4+HiEhYWhZ8+eePrpp9GjR49S5Q0ICCj1gI6OTgBrdzB06NAhq+Gwi1SrVg2XLl1yqBBqJkyYgJycHAwfPhyXL19Gy5YtsXXrVo4xREREFZ8bBUMDBgzAgAEDcObMGcTHx2PEiBG4fv06zGYzjh49Wmygx5s5OzZRadgdDFWpUgVpaWnFBmvav38/qlev7lRhisYxKKIoCuLi4mzOsUJERETlX82aNTF16lTExcVhy5Yt+OijjzBw4ECMHj0a/fr1w6JFi4rluRPTgdndZ2jAgAF45ZVXkJ6eDkVRYDab8cMPP2DcuHEYNGjQ7SgjERFRpeNOfYZupSgKevTogc8//xx//PEHxo0bh6SkJJeVx+6WoRkzZmDIkCGoXr06hBCIiYmByWTCgAED8Nprr92OMpYJX30ejHqz3fn0Jnkend6kmuavy5HmNWrUR8v0UAodzlsg5ANf2Up3NG+eWa+ezyw/ZnXPTNW0wiB53uOStEyNjzSvuK6+b2HrEbXWiTuRM1n16pk1HvLrRmtQv141Nuqjkdx5DXr5cRVJXrNZ/jeZLK+XQT7ibDWvbNW0EM+r0ry+ulzVNL2ifh5Lky6TbVJ/G9bWd1crubA0ivxe5qlVP5eBumvSvP7a6+plsnFcZ86VbN96ob7fXKF+r1I08mu5TLnRYzKZwMBAjB492mpu0jvN7mBIr9fj008/xbRp07B//36YzWY0bdoUdevWvR3lIyIiIrqtHB6Bunbt2qhdu3ZZloWIiMh9sGWo3ChVMDRmzJhS73DevHkOF4aIiMhd3OnpOEhdqYKh/fv3W/2ckpICk8mE+vXrAwBOnDgBrVZrNZo0ERERUVnbu3cvvvjiC5w7dw75+flWaevXr3don6V6m2zHjh2W5ZFHHkHHjh1x4cIF7Nu3D/v27cP58+fRqVMn9OzZ06FCEBERuR03m5sMuPFq/bRp03Du3DmH8q9ZswZt27bF0aNHkZCQgIKCAhw9ehTbt2+Hv7+/w+Wy+9X6uXPnYtasWQgICLCsCwgIwPTp0zF37lyHC0JERORO3PHV+rFjx2LDhg2oVasWunbtijVr1iAvL6/U+WfOnIn58+fjm2++gcFgwMKFC3Hs2DH0798fNWrUcLhcdgdDWVlZ+PPPP4utz8jIwNWr8ldViYiIyH3FxsYiJSUFKSkpiImJwahRoxAWFoaRI0di3759NvOfOnXK8hTKaDTi2rVrUBQFL7/8MpYtW+ZwuewOhvr27YtnnnkGX375JS5cuIALFy7gyy+/xLBhw9CvXz+HC0JERORW3PAxWZEmTZpg4cKFuHjxIqZMmYIPP/wQLVq0QJMmTfDRRx9BiJIrFxgYaGl4qV69Og4fPgwAuHLlCq5fVx/vyha7X61/7733MG7cOAwcOBAFBTcG6dLpdBg2bBjeeusthwtCRETkVtz41fqCggIkJCQgPj4eiYmJaNWqFYYNG4Y//vgDkydPxrZt20qcB/X+++9HYmIiGjVqhP79++Oll17C9u3bkZiYiM6dOztcHruDIS8vLyxZsgRvvfUWTp06BSEE6tSpA29vb4cLQURE5G6U/1+cyV/R7Nu3D/Hx8fjss8+g1Wrx9NNPY/78+WjQoIFlm27duqF9+/Yl5n/nnXeQm3tjdPiJEydCr9cjOTkZ/fr1w+uvv+5wuRwedNHb2xuNGzd2+MBERETkXlq0aIGuXbti6dKl6NOnD/T64lOjxMTE4Iknnigxf2BgoOX/Go0GEyZMwIQJE5wul93BUKdOnaAo6vHo9u3bnSoQERGRW3DDx2SnT59GVFSUdBtvb2/Ex8dLt8nIyEBGRgbMZuv56RxtpLE7GLrnnnusfi4oKMCBAwdw+PBhDB482KFCEBERuRt3HIHaViBkS0pKCgYPHoxjx44V62StKApMJscm/rU7GJo/f36J6+Pi4pCdrT5DNBEREbmfgIAA6ROlm/3zzz/S9GeeeQb16tXD8uXLERISUur92uJwn6FbDRw4EPfddx/efvvtstplmfLR5sKotT9i9NPKQ28vrfpgUb6aXGleD02BappekZdVC7NqWr7QSvMWCPWP3WyjS16uufjz3dIoMMvLJBPhdVma7qXLV037w9dPmvdKjqdq2tUcD2ne3GyDeqKQn0e9l/pn7+0lH4DMx6iebtQWSvPKPoecfPlnq9WofxcMOvlxNU605xsl+65ikH/Hgozqf6AF6OSv4fro1PftocjrK5Mr+f4BgF6j/t03CfloKGbJdWeyMZKKl0b9e+SjvX33Mr3kXJpt1FdWJ9lxtUL9/qnROP7Z2s1NHpMtWLCgzPaVmpqK9evXo06dOmW2T6AMg6Eff/wRHh7yXx5ERER0kwoS0DijLLvQdO7cGb/++qvrg6FbB1YUQiAtLQ2//PKLU6+1ERERUeWTlZUFPz8/y/9lirZT8+GHH2Lw4ME4fPgwGjZsWOxttF69ejlURruDIT8/P6tndBqNBvXr18e0adPQrVs3hwpBRETkbtylA3VAQADS0tIQHByMKlWqlNjPRwhRqg7Qu3fvRnJyMjZt2lQs7Y52oF6xYoVDByIiIqKbuEmfoe3bt1vGB9qxY4dT+xo1ahSefvppvP766wgJCSmL4gFwIBiqVasW9u7di6CgIKv1V65cwb333ovTp0+XWeGIiIioYuvQoUOJ/3fEpUuX8PLLL5dpIAQ4EAydOXOmxGaovLw8XLx4sUwKRUREVNm5y2Oykly/fh3nzp1Dfr71W4y2Bk3s168fduzYgdq1a5dpeUodDG3cuNHy/y1btsDf39/ys8lkwnfffYeaNWuWaeGIiIgqLTd5THazv/76C88880yJfX4A2OzzU69ePUycOBHJyclo1KhRsQ7Uo0aNcqhcpQ6G+vTpA+BGB6VbX5PT6/WoWbMm5s6d61AhiIiI3I07tgyNHj0aly9fxp49e9CpUyckJCTgzz//xPTp00sVQ3z44Yfw8fFBUlISkpKSrNIURbn9wVDR/B/R0dHYu3cvqlat6tABiYiIyD1t374dGzZsQIsWLaDRaBAVFYWuXbvCz88Ps2bNQs+ePaX5U1NTb0u55MN7liA1NZWBEBERkbNEGSwVzLVr1xAcHAzgxgz0f/31FwCgUaNG2Ldvn8vKVaqWoUWLFuHf//43PDw8sGjRIum2jjZRERERuRU37DNUv359HD9+HDVr1sQ999yD999/HzVr1sR7772HsLAwm/nHjBlT4npFUeDh4YE6deqgd+/ellf5S6tUwdD8+fPx1FNPwcPDQ3Wi1qLCMBgiIiKikowePRppaWkAgClTpqB79+749NNPYTAYSjWO4f79+7Fv3z6YTCbUr18fQgicPHkSWq0WDRo0wJIlSzB27FgkJycjJiam1OUqVTB08zO62/W8joiIyJ24Ywfqp556yvL/pk2b4syZM/jtt99Qo0aNUnXBKWr1iY+Pt5riY9iwYWjXrh2ee+45DBgwAC+//DK2bNlS6nLZPc7QtGnTMG7cOHh5eVmtz8nJwVtvvYU33njD3l3eEYG6bHjqSq6ubHZjZ2Zcls3kDAAeinq62UZ3LkdnjwcAraI+Y7PZxoz3tma+dpRJMtu21sY3vppkZnJvnXwG+Bxv9fOYkeMrzXtOF6Callcg/2oF+V5TTQv3kc/dE2RQz1tFL5+JPc+sXq6MPHl9ZXSSawoACiWzjxsks7QD8s/XT5sjzau/TTOQm6B+vQLy+4avIp8B3lejnq6x8V2QzVpvi2zWem+N/HukkXz+Bhv3UA0k9yNFfr/Jt3G/UiO7b8NGecuUGz4mu5WXlxfuvffeUm//1ltvITEx0WoOMz8/P8TFxaFbt2546aWX8MYbb9g9PZjdv9mmTp2K7OziN6fr169j6tSp9u6OiIiI3MC1a9fwxhtvoGHDhvDx8YGvry8aN26MadOm4fp1+R9yRTIzM5GRkVFs/V9//WWZBLZKlSrFBnO0xe5gqGgytVv9+uuvdndYIiIicleKEE4v9pg1axZatGgBX19fBAcHo0+fPjh+/LjVNkOGDIGiKFZLq1atrLbJy8tDbGwsqlatCm9vb/Tq1QsXLlyQHjs/Px8dOnTAnDlzULduXcTGxmLEiBGIjo7GjBkz0LlzZxQUyJ+mADcekw0dOhQJCQm4cOECLl68iISEBAwbNswyHuLPP/+MevXq2XVuSv2YLCAgwHJi6tWrZxUQmUwmZGdn44UXXrDr4ERERG7rDj8mS0pKwogRI9CiRQsUFhZi8uTJ6NatG44ePQpvb2/Ldj169EB8fLzlZ4PBYLWf0aNH4+uvv8aaNWsQFBSEsWPH4uGHH0ZKSgq02pIfXS5duhQXLlzAr7/+ivr161ul/fbbb+jYsSPee+89xMbGSuvw/vvv4+WXX8YTTzyBwsIbjzt1Oh0GDx5secGrQYMG+PDDD0t/YmBHMLRgwQIIITB06FBMnTrVajoOg8GAmjVronXr1nYdnIiIiO6MzZs3W/0cHx+P4OBgpKSkoH379pb1RqMRoaGhJe4jMzMTy5cvxyeffIIuXboAAFatWoXIyEhs27YN3bt3LzHf+vXr8frrrxcLhIAbwcvkyZPx5Zdf2gyGfHx88MEHH2D+/Pk4ffo0hBCoXbs2fHx8LNvcc8890n2UpNTBUNEUHNHR0WjTpk2x+UCIiIio9MrqbbKivjJFjEYjjEajzfyZmZkAUKyLy86dOxEcHIwqVaqgQ4cOmDFjhmWgxJSUFBQUFFh1UA4PD0fDhg2xe/du1WDo6NGj6Nixo2pZOnXqhGnTptkscxEfHx+bk7raw+63yTp06GD5f05OTrFnfDf38CYiIiIVZfSYLDIy0mr1lClTEBcXJ88qBMaMGYN27dqhYcOGlvUPPvggHnvsMURFRSE1NRWvv/46HnjgAaSkpMBoNCI9PR0GgwEBAdZv04aEhCA9PV31eFeuXEFQUJBqelBQkCU4u1W/fv2wYsUK+Pn5oV+/ftJ6rV+/Xpquxu5g6Pr165gwYQI+//xzXLp0qVi6rRlniYiIqOxahs6fP2/VEFGaVqGRI0fi4MGDSE5Otlr/+OOPW/7fsGFDNG/eHFFRUfj222+lgYjay1VFzGazan8iANBoNKrxg7+/v2XfN3fRKUt2B0Pjx4/Hjh07sGTJEgwaNAjvvvsuLl68iPfffx+zZ8++HWUkIiIiFX5+fnY9lYmNjcXGjRvx/fffIyIiQrptWFgYoqKicPLkSQBAaGgo8vPzcfnyZavWoYyMDLRp00Z1P0IIdO7cGTqV8f6KOkOX5ObO3Df/vyzZHQx9/fXX+Pjjj9GxY0cMHToU999/P+rUqYOoqCh8+umnVqNLEhERkYo7/DaZEAKxsbFISEjAzp07ER0dbTPPpUuXcP78ecu8Yc2aNYNer0diYiL69+8PAEhLS8Phw4cxZ84c1f1MmTLF5rH+9a9/2dwmJycHQgjLwM9nz55FQkICYmJi7B5o8WZ2B0P//POP5QT6+fnhn3/+AQC0a9cOL774osMFISIicid3ejqOESNGYPXq1diwYQN8fX0tfXz8/f3h6emJ7OxsxMXF4V//+hfCwsJw5swZTJo0CVWrVkXfvn0t2w4bNgxjx45FUFAQAgMDMW7cODRq1MjydllJShMMlUbv3r3Rr18/vPDCC7hy5Qruu+8+GAwG/P3335g3b57DcYjdgy7WqlULZ86cAQDExMTg888/B3CjxahKlSoOFYKIiIhur6VLlyIzMxMdO3ZEWFiYZVm7di0AQKvV4tChQ+jduzfq1auHwYMHo169evjxxx/h6/u/6Xrmz5+PPn36oH///mjbti28vLzw9ddfS/sEFTly5Ihq2q2v/pdk3759uP/++wEAX375JUJDQ3H27Fl8/PHHWLRokc38auxuGXrmmWfw66+/okOHDpg4cSJ69uyJxYsXo7CwEPPmzXO4IERERG7FBY/JZDw9PUs1uamHhwcWL16MxYsX21cAAM2bN8ecOXOsxhPKy8vD2LFjsXz5cuTkyOcbvH79uiUw27p1K/r16weNRoNWrVrh7NmzdpeniN3B0Msvv2z5f6dOnfDbb7/hl19+Qe3atdGkSROHC0JERORuKuLM88749NNP8e9//xv//e9/ER8fj/T0dAwYMAAA8MMPP9jMX6dOHXz11Vfo27cvtmzZYolJMjIynBrax+kpyGvUqIF+/fohMDAQQ4cOdXZ3REREVEn169cPBw8eRGFhIRo2bIjWrVujY8eOSElJKdXs9W+88QbGjRuHmjVromXLlpaZL7Zu3YqmTZs6XC67W4bU/PPPP1i5ciU++uijstplmQrWZcFLX/LzTC3MDu9XKwnrPRT5rLkaSRvndSEfJyJXqI8AbhKOx7i28pod3LdRo/7apLM0ks9Ap8jHvfLT5aqmVdHLm2t1GvXr5lKulzRvmNdV1bRo77+leb206teVUSOf6FAvOR/BBvUyOSvXrH69ysoEAFX16uUyKPLrSnbcAiG//ekl+5Zdc4D8nqJV5Pcb2X3Bdl71dA8b14aHop5u6zw7U+YCod7PJN/GZ2RQH9bGYYU2rscyJcSNxZn8FZDJZEJ+fj5MJhNMJhNCQ0NLNTYSADz66KNo164d0tLSrJ5Gde7c2dLJ2xFOtwwRERGR/YreJnNmqWjWrFmDxo0bw9/fHydOnMC3336LZcuW4f7778fp06dLtY/Q0FA0bdoUGs3/Qpj77rsPDRo0cLhcDIaIiIjojhg2bBhmzpyJjRs3olq1aujatSsOHTqE6tWrOzTBallxaTC0dOlSNG7c2DJ6ZuvWrbFp0yZLuhACcXFxCA8Ph6enJzp27Ch9LY+IiKjCEGWwVDD79u0rNhZQQEAAPv/8c7z77rsuKpUdfYZsTY525coVuw8eERGB2bNno06dOgCAlStXonfv3ti/fz/uvvtuzJkzB/PmzcOKFStQr149TJ8+HV27dsXx48etxjwgIiKqaBTzjcWZ/BVN/fr1rX6+eU6zp59+2hVFAmBHMGRrcjR/f38MGjTIroM/8sgjVj/PmDEDS5cuxZ49exATE4MFCxZg8uTJlkBs5cqVCAkJwerVq/H888/bdSwiIqJy5Q6PM1QeGY1G/Prrr7jrrrtcWo5SB0O3a3K0IiaTCV988QWuXbuG1q1bIzU1Fenp6VZzjRiNRnTo0AG7d+9WDYby8vKQl5dn+TkrK+u2lpuIiIjkxowZU+J6k8mE2bNnIygoCABcNnhzmb1a76hDhw6hdevWyM3NhY+Pj2XCtd27dwMAQkJCrLYPCQmRjjI5a9YsTJ069baWmYiIyFl3em4yV1qwYAGaNGlSbNouIQSOHTsGb29vy+MyV3B5MFS/fn0cOHAAV65cwbp16zB48GAkJSVZ0m89OTc/XyzJxIkTrSLQrKwsREZGln3BiYiInOFG4wzNmDEDH3zwAebOnYsHHnjAsl6v12PFihWIiYlxYenKwav1BoMBderUQfPmzTFr1iw0adIECxcuRGhoKABYZtUtkpGRUay16GZGo9HydlrRQkRERK4zceJErF27Fi+++CLGjRuHggL5IKB3msuDoVsJIZCXl4fo6GiEhoYiMTHRkpafn4+kpCS0adPGhSUkIiJynrsNutiiRQukpKTgr7/+QvPmzXHo0CGXPhq7mUsfk02aNAkPPvggIiMjcfXqVaxZswY7d+7E5s2boSgKRo8ejZkzZ6Ju3bqoW7cuZs6cCS8vL8ukbkRERBWWG75N5uPjg5UrV2LNmjXo2rUrTKY7OP2JhEuDoT///BNPP/000tLS4O/vj8aNG2Pz5s3o2rUrAGDChAnIycnB8OHDcfnyZbRs2RJbt27lGENEREQV2BNPPIF27dohJSUFUVFRri6Oa4Oh5cuXS9MVRUFcXBzi4uLuTIGIiIjuEHd6m6wkERERiIiIcHUxAJSDt8mIiIjckhu9TVbeuU0w5KEUwENl7HKtZExzLeTjnesV9eedWhsPdPOFVjXNJOSdymTH1dgoc57QS9Plxy10LJ9W/lxYr1Hfb4FZfpl6aBx/K0F2Hm3VVZb3pBIszeuhVS9zDeMlad5Iwz+qabJryhYPRX4ezZL3LWwd97rZqJpWYCOvlyZfNc3WZ+SlUb92bB1XRvbZA7a/vzIGyb5tXeseivq58pKk3di3+rk026iPCY7XV3af1Ni4hxZAdg9Vv15l1zK5J7cJhoiIiMoTd39MVp4wGCIiInIFN3ybrLxiMEREROQCbBkqP/jglIiIiNwaW4aIiIhcwSxuLM7kpzLBYIiIiMgV2Geo3OBjMiIiInJrbBkiIiJyAQVOdqAus5IQgyEiIiJX4AjU5QYfkxEREZFbY8sQERGRC3CcofKDwRAREZEr8G2ycoOPyYiIiMitsWWIiIjIBRQhoDjRCdqZvGTNbYIhX00uvDXaEtM0MDu8X62inrdAyE9vrtCrppluY6OdRtK2arKRV6/Y2kLtmPL6eCgFqmkmjTyvWTh+rkySl1PVP50bantkqKYZNYXSvGl5/qppmSYvad4YzUXVNF9NnjTvdbNBmn7baK+qJuWLkr+XRcxOvEAsu9YLID+uyYnryqCof/6yMgHye4rexjfUIPl+ekjKBAB62b3Mxvc3X3IuC2ycR9n912Dro5ecStm9SvbZO3qPc4j5/xdn8lOZcJtgiIiIqDxhy1D5wT5DRERE5NbYMkREROQKfJus3GAwRERE5Aocgbrc4GMyIiIicmsMhoiIiFygaARqZxZ7zJo1Cy1atICvry+Cg4PRp08fHD9+XHX7559/HoqiYMGCBVbr8/LyEBsbi6pVq8Lb2xu9evXChQsXHDgD5QeDISIiIlcoekzmzGKHpKQkjBgxAnv27EFiYiIKCwvRrVs3XLt2rdi2X331FX766SeEh4cXSxs9ejQSEhKwZs0aJCcnIzs7Gw8//DBMpjs4LEEZY58hIiIiN7B582arn+Pj4xEcHIyUlBS0b9/esv7ixYsYOXIktmzZgp49e1rlyczMxPLly/HJJ5+gS5cuAIBVq1YhMjIS27ZtQ/fu3W9/RW4DtgwRERG5gGJ2fgGArKwsqyUvTz74apHMzEwAQGBgoGWd2WzG008/jfHjx+Puu+8uliclJQUFBQXo1q2bZV14eDgaNmyI3bt3O3E2XIvBEBERkSuU0WOyyMhI+Pv7W5ZZs2aV4tACY8aMQbt27dCwYUPL+jfffBM6nQ6jRo0qMV96ejoMBgMCAgKs1oeEhCA9Pd2Jk+FafExGRERUgZ0/fx5+fn6Wn41Go808I0eOxMGDB5GcnGxZl5KSgoULF2Lfvn1QFPumwRFC2J2nPGHLEBERkSuIMlgA+Pn5WS22gqHY2Fhs3LgRO3bsQEREhGX9rl27kJGRgRo1akCn00Gn0+Hs2bMYO3YsatasCQAIDQ1Ffn4+Ll++bLXPjIwMhISEOHU6XInBEBERkQsUzU3mzGIPIQRGjhyJ9evXY/v27YiOjrZKf/rpp3Hw4EEcOHDAsoSHh2P8+PHYsmULAKBZs2bQ6/VITEy05EtLS8Phw4fRpk0b50+Ki7jNYzJ/TS58VGY/l81cnmtj5nkZW7NxF0jSnZmJ3Ra9jdmrZRydQdzmTN2S6ZdtzdRtUtTPlWy/gHyGcFtlrqbLUk1rYEyT5j2gr6GalpHvp5oGABcLAlTTaur/lub11eRK02Vk16vGxoAnss9Ba+M8y2ZEv242SPPKZkT3VkrXybQkshnebbF1Tcrzys+V7HOwlVeWbrLx+RqE+ndU9h0D5DPI59v4Xa919LGMZL86G/ebMnWHR6AeMWIEVq9ejQ0bNsDX19fSx8ff3x+enp4ICgpCUFCQVR69Xo/Q0FDUr1/fsu2wYcMwduxYBAUFITAwEOPGjUOjRo0sb5dVRG4TDBEREbmzpUuXAgA6duxotT4+Ph5Dhgwp9X7mz58PnU6H/v37IycnB507d8aKFSug1cobAMozBkNERESuIAAnGgrtnqhVONAKdebMmWLrPDw8sHjxYixevNju/ZVXDIaIiIhcwJF+P7fmp7LBDtRERETk1tgyRERE5AoCTnagLrOSuD0GQ0RERK5wh98mI3V8TEZERERujS1DRERErmAGHBy67X/5qUwwGCIiInIBvk1WfjAYIiIicgX2GSo32GeIiIiI3BpbhoiIiFyBLUPlBoMhIiIiV2AwVG7wMRkRERG5NbdpGcqHFvkqsZ9ZqL/bqFccf3fRoJik6XpJulaRR/wmSZkLbHysGkmdDEJe5nwhmZXYmVdEnWCWxPQaG++e+mlzHc+rUc8bpbsqzevl9btq2m/aUGne62ajatr5wiBp3nuMF1TTfDXy+l4xq6drbQyFK0vX2LhuPCTXpLe2wOHj5squZRs8bHy3yyNb51kv+wyF/NrIVyR/V9tqvJCcS+n9BvLP1+SqG5I9+Gp9ueE2wRAREVF5wlfryw8+JiMiIiK35tJgaNasWWjRogV8fX0RHByMPn364Pjx41bbCCEQFxeH8PBweHp6omPHjjhy5IiLSkxERFRGijpQO7NQmXBpMJSUlIQRI0Zgz549SExMRGFhIbp164Zr165ZtpkzZw7mzZuHd955B3v37kVoaCi6du2Kq1flfTKIiIjKNbNwfqEy4dI+Q5s3b7b6OT4+HsHBwUhJSUH79u0hhMCCBQswefJk9OvXDwCwcuVKhISEYPXq1Xj++eddUWwiIiKqRMpVn6HMzEwAQGBgIAAgNTUV6enp6Natm2Ubo9GIDh06YPfu3S4pIxERUZngY7Jyo9y8TSaEwJgxY9CuXTs0bNgQAJCeng4ACAkJsdo2JCQEZ8+eLXE/eXl5yMvLs/yclZV1m0pMRETkDGcDGgZDZaXctAyNHDkSBw8exGeffVYsTVGsB2IQQhRbV2TWrFnw9/e3LJGRkbelvERERE5hy1C5US6CodjYWGzcuBE7duxARESEZX1o6I3B54paiIpkZGQUay0qMnHiRGRmZlqW8+fP376CExERUYXn0mBICIGRI0di/fr12L59O6Kjo63So6OjERoaisTERMu6/Px8JCUloU2bNiXu02g0ws/Pz2ohIiIqd/g2Wbnh0j5DI0aMwOrVq7Fhwwb4+vpaWoD8/f3h6ekJRVEwevRozJw5E3Xr1kXdunUxc+ZMeHl5YcCAAa4sOhERkXOE2eZUJzbzU5lwaTC0dOlSAEDHjh2t1sfHx2PIkCEAgAkTJiAnJwfDhw/H5cuX0bJlS2zduhW+vr53uLRERERUGbk0GBKl6PylKAri4uIQFxd3+wtERER0pzjbCZodqMtMuXm1noiIyK2YBZx6PZ59hsqM2wRDhUKDAlFyf3Gt5GLUQv5M1iTpg65XCqV5vTV5qmkFQivNi5JHFgAA5AuTPK+D+wUAvaRcBUL9crJ1Ljw0Bapptj4DmXxJmQDAICmXl5Ivzesn+fw8VIZ+KFJLp37c6tpz0rxnCj1U066YvaR59Yr6tX7dLC9zeqH6o+kq2hxp3iDJufKyca5k16TZxi8S2RsieiG/JguE+oGNkvMIQHrFOvPWiq1vgsnWF9hBsusGgLTvSr4ir7FJcp4NivxeZpKcEb0kX64kVauwH447cptgiIiIqFzhY7Jyg8EQERGRKwg4GQyVWUncXrkYdJGIiIjIVdgyRERE5Ap8TFZuMBgiIiJyBbMZtrvF28pPZYHBEBERkSuwZajcYJ8hIiIicmtsGSIiInIFtgyVGwyGiIiIXIEjUJcbfExGREREbo3BEBERkQsIYXZ6scesWbPQokUL+Pr6Ijg4GH369MHx48ettomLi0ODBg3g7e2NgIAAdOnSBT/99JPVNnl5eYiNjUXVqlXh7e2NXr164cKFC06fD1diMEREROQKQtx41OXoYmefoaSkJIwYMQJ79uxBYmIiCgsL0a1bN1y7ds2yTb169fDOO+/g0KFDSE5ORs2aNdGtWzf89ddflm1Gjx6NhIQErFmzBsnJycjOzsbDDz8Mk8mJeTFdjH2GiIiI3MDmzZutfo6Pj0dwcDBSUlLQvn17AMCAAQOstpk3bx6WL1+OgwcPonPnzsjMzMTy5cvxySefoEuXLgCAVatWITIyEtu2bUP37t3vTGXKGFuGiIiIXKHobTJnFgBZWVlWS15eXqkOn5mZCQAIDAwsMT0/Px/Lli2Dv78/mjRpAgBISUlBQUEBunXrZtkuPDwcDRs2xO7du505Gy7lNi1DWghoVXrt6xX1pj21PP9Ll+RV5M9z9ZL0AiGPU02SdA+lUJpXul8oDueVsXUeNZJRWM02YnYvTb7kuI6P0Cr7fADAQ5KuVeTnUS+pU4DWS5o3WKt+3EzzFWleL8Womva3OVea11ujfoO1db2mmzxV02rq5Mf11+hV0zLNBdK8Mh42PiMPabI8b77k8YXWxlfMJPmq6G3klV85crIzaeulJb0i2cBGvxatJK+H5N4MALlCK01XI/tuK5o7OKqz2QzYuM9I/f+5jYyMtFo9ZcoUxMXFybMKgTFjxqBdu3Zo2LChVdo333yDJ554AtevX0dYWBgSExNRtWpVAEB6ejoMBgMCAgKs8oSEhCA9Pd3xuriY2wRDREREldH58+fh5+dn+dloVP+jp8jIkSNx8OBBJCcnF0vr1KkTDhw4gL///hsffPAB+vfvj59++gnBwcGq+xNCQLHxB0Z5xsdkRERErlBGj8n8/PysFlvBUGxsLDZu3IgdO3YgIiKiWLq3tzfq1KmDVq1aYfny5dDpdFi+fDkAIDQ0FPn5+bh8+bJVnoyMDISEhJTRibnzGAwRERG5gDCbnV7sOp4QGDlyJNavX4/t27cjOjq61PmK+iE1a9YMer0eiYmJlvS0tDQcPnwYbdq0sas85QkfkxEREbmCcHIEajtfrR8xYgRWr16NDRs2wNfX19LHx9/fH56enrh27RpmzJiBXr16ISwsDJcuXcKSJUtw4cIFPPbYY5Zthw0bhrFjxyIoKAiBgYEYN24cGjVqZHm7rCJiMEREROQGli5dCgDo2LGj1fr4+HgMGTIEWq0Wv/32G1auXIm///4bQUFBaNGiBXbt2oW7777bsv38+fOh0+nQv39/5OTkoHPnzlixYgW0Wsc6tJcHDIaIiIhcwSwA2Zt4ttjZMiRsbO/h4YH169fb3I+HhwcWL16MxYsX23X88ozBEBERkSsIATgx/AdnrS877EBNREREbo0tQ0RERC4gzALCicdkth57UekxGCIiInIFYYZzj8nu4GjZlRwfkxEREZFbY8sQERGRC/AxWfnBYIiIiMgV+Jis3Kj0wVBR5HwtW/2i0clmH3didFBbM8DL5mMutHFY2czW5ttYZkfZnrVePd1WfcySWaZv56z1hbLrRiM/j3mS82zWyGfqlp2PqzaG55eV2Vbea4W358Z7VSffr2wWcVtllvUDuJ2/Rm7XrPW28uqd+P4WSK6rAicaIAqFrfug42XOtbFv9WOqK/pdcSdaXQpR4NQA1IUoKLvCuLlKHwxdvXoVANCr9QUXl4SIiCqKq1evwt/f/7bs22AwIDQ0FMnp/3V6X6GhoTAYDGVQKvemiEr+0NFsNuOPP/6Ar68vFEVBVlYWIiMjcf78efj5+bm6eLcd61u5uVN93amuAOvrKkIIXL16FeHh4dBobt87Rrm5ucjPz3d6PwaDAR4eHmVQIvdW6VuGNBoNIiIiiq338/NzixtMEda3cnOn+rpTXQHW1xVuV4vQzTw8PBjElCN8tZ6IiIjcGoMhIiIicmtuFwwZjUZMmTIFRqPR1UW5I1jfys2d6utOdQVYX6I7qdJ3oCYiIiKScbuWISIiIqKbMRgiIiIit8ZgiIiIiNwagyEiIiJya5UiGJo1axZatGgBX19fBAcHo0+fPjh+/LjVNkIIxMXFITw8HJ6enujYsSOOHDlitU1eXh5iY2NRtWpVeHt7o1evXrhwoXxN42GrrgUFBXjllVfQqFEjeHt7Izw8HIMGDcIff/xhtZ+KUFegdJ/tzZ5//nkoioIFCxZYra9s9T127Bh69eoFf39/+Pr6olWrVjh37pwlvTLVNzs7GyNHjkRERAQ8PT1x1113YenSpVbbVJT6Ll26FI0bN7YMLNi6dWts2rTJkl5Z7lNFZPWtbPcqquBEJdC9e3cRHx8vDh8+LA4cOCB69uwpatSoIbKzsy3bzJ49W/j6+op169aJQ4cOiccff1yEhYWJrKwsyzYvvPCCqF69ukhMTBT79u0TnTp1Ek2aNBGFhYWuqFaJbNX1ypUrokuXLmLt2rXit99+Ez/++KNo2bKlaNasmdV+KkJdhSjdZ1skISFBNGnSRISHh4v58+dbpVWm+v7+++8iMDBQjB8/Xuzbt0+cOnVKfPPNN+LPP/+0bFOZ6vvss8+K2rVrix07dojU1FTx/vvvC61WK7766ivLNhWlvhs3bhTffvutOH78uDh+/LiYNGmS0Ov14vDhw0KIynOfKiKrb2W7V1HFVimCoVtlZGQIACIpKUkIIYTZbBahoaFi9uzZlm1yc3OFv7+/eO+994QQN4IIvV4v1qxZY9nm4sWLQqPRiM2bN9/ZCtjh1rqW5OeffxYAxNmzZ4UQFbeuQqjX98KFC6J69eri8OHDIioqyioYqmz1ffzxx8XAgQNV81S2+t59991i2rRpVtvde++94rXXXhNCVOz6CiFEQECA+PDDDyv1fepmRfUtSWW6V1HFUikek90qMzMTABAYGAgASE1NRXp6Orp162bZxmg0okOHDti9ezcAICUlBQUFBVbbhIeHo2HDhpZtyqNb66q2jaIoqFKlCoCKW1eg5PqazWY8/fTTGD9+PO6+++5ieSpTfc1mM7799lvUq1cP3bt3R3BwMFq2bImvvvrKkqcy1RcA2rVrh40bN+LixYsQQmDHjh04ceIEunfvDqDi1tdkMmHNmjW4du0aWrduXanvU0Dx+pakMt2rqGKpdMGQEAJjxoxBu3bt0LBhQwBAeno6ACAkJMRq25CQEEtaeno6DAYDAgICVLcpb0qq661yc3Px6quvYsCAAZbJDytiXQH1+r755pvQ6XQYNWpUifkqU30zMjKQnZ2N2bNno0ePHti6dSv69u2Lfv36ISkpCUDlqi8ALFq0CDExMYiIiIDBYECPHj2wZMkStGvXDkDFq++hQ4fg4+MDo9GIF154AQkJCYiJiam09ym1+t6qMt2rqOKpdLPWjxw5EgcPHkRycnKxNEVRrH4WQhRbd6vSbOMqsroCNzooPvHEEzCbzViyZInN/ZXnugIl1zclJQULFy7Evn377C57Rayv2WwGAPTu3Rsvv/wyAOCee+7B7t278d5776FDhw6q+6uI9QVuBEN79uzBxo0bERUVhe+//x7Dhw9HWFgYunTporq/8lrf+vXr48CBA7hy5QrWrVuHwYMHWwJZoPLdp9Tqe3NAVNnuVVTxVKqWodjYWGzcuBE7duxARESEZX1oaCgAFPtLIiMjw/JXWGhoKPLz83H58mXVbcoTtboWKSgoQP/+/ZGamorExETLX1pAxasroF7fXbt2ISMjAzVq1IBOp4NOp8PZs2cxduxY1KxZE0Dlqm/VqlWh0+mK/WV91113Wd4mq0z1zcnJwaRJkzBv3jw88sgjaNy4MUaOHInHH38cb7/9NoCKV1+DwYA6deqgefPmmDVrFpo0aYKFCxdWyvsUoF7fIpXtXkUVU6UIhoQQGDlyJNavX4/t27cjOjraKj06OhqhoaFITEy0rMvPz0dSUhLatGkDAGjWrBn0er3VNmlpaTh8+LBlm/LAVl2B/91cTp48iW3btiEoKMgqvaLUFbBd36effhoHDx7EgQMHLEt4eDjGjx+PLVu2AKhc9TUYDGjRokWx189PnDiBqKgoAJWrvgUFBSgoKIBGY32r0mq1llayilTfkgghkJeXV6nuUzJF9QUq172KKrg72Vv7dnnxxReFv7+/2Llzp0hLS7Ms169ft2wze/Zs4e/vL9avXy8OHToknnzyyRJfWY2IiBDbtm0T+/btEw888EC5e4XTVl0LCgpEr169REREhDhw4IDVNnl5eZb9VIS6ClG6z/ZWt75NJkTlqu/69euFXq8Xy5YtEydPnhSLFy8WWq1W7Nq1y7JNZapvhw4dxN133y127NghTp8+LeLj44WHh4dYsmSJZZuKUt+JEyeK77//XqSmpoqDBw+KSZMmCY1GI7Zu3SqEqDz3qSKy+la2exVVbJUiGAJQ4hIfH2/Zxmw2iylTpojQ0FBhNBpF+/btxaFDh6z2k5OTI0aOHCkCAwOFp6enePjhh8W5c+fucG3kbNU1NTVVdZsdO3ZY9lMR6ipE6T7bW5UUDFW2+i5fvlzUqVNHeHh4iCZNmliNuSNE5apvWlqaGDJkiAgPDxceHh6ifv36Yu7cucJsNlu2qSj1HTp0qIiKihIGg0FUq1ZNdO7c2RIICVF57lNFZPWtbPcqqtgUIYS4Xa1OREREROVdpegzREREROQoBkNERETk1hgMERERkVtjMERERERujcEQERERuTUGQ0REROTWGAwRERGRW2MwRGTDmTNnoCgKDhw4cFv2rygKvvrqK4fz79y5E4qiQFEU9OnTR7ptx44dMXr0aIePRXJFn0OVKlVcXRQisgODISrXhgwZYvMX/O0WGRmJtLQ0NGzYEMD/go8rV664tFy3On78OFasWOHqYrgFtesyLS0NCxYsuOPlISLnMBgiskGr1SI0NBQ6nc7VRZEKDg4uFy0SBQUFri6Cy4SGhsLf39/VxSAiOzEYogotKSkJ9913H4xGI8LCwvDqq6+isLDQkt6xY0eMGjUKEyZMQGBgIEJDQxEXF2e1j99++w3t2rWDh4cHYmJisG3bNqtHVzc/Jjtz5gw6deoEAAgICICiKBgyZAgAoGbNmsVaBe655x6r4508eRLt27e3HOvm2biLXLx4EY8//jgCAgIQFBSE3r1748yZM3afm2vXrmHQoEHw8fFBWFgY5s6dW2yb/Px8TJgwAdWrV4e3tzdatmyJnTt3Wm3zwQcfIDIyEl5eXujbty/mzZtnFXTFxcXhnnvuwUcffYRatWrBaDRCCIHMzEz8+9//RnBwMPz8/PDAAw/g119/tdr3119/jWbNmsHDwwO1atXC1KlTrT6/uLg41KhRA0ajEeHh4Rg1alSp6m6rXpcuXcKTTz6JiIgIeHl5oVGjRvjss8+s9vHll1+iUaNG8PT0RFBQELp06YJr164hLi4OK1euxIYNGyyPxW49Z0RUsZTvP3WJJC5evIiHHnoIQ4YMwccff4zffvsNzz33HDw8PKwCkJUrV2LMmDH46aef8OOPP2LIkCFo27YtunbtCrPZjD59+qBGjRr46aefcPXqVYwdO1b1mJGRkVi3bh3+9a9/4fjx4/Dz84Onp2epyms2m9GvXz9UrVoVe/bsQVZWVrH+O9evX0enTp1w//334/vvv4dOp8P06dPRo0cPHDx4EAaDodTnZ/z48dixYwcSEhIQGhqKSZMmISUlBffcc49lm2eeeQZnzpzBmjVrEB4ejoSEBPTo0QOHDh1C3bp18cMPP+CFF17Am2++iV69emHbtm14/fXXix3r999/x+eff45169ZBq9UCAHr27InAwED897//hb+/P95//3107twZJ06cQGBgILZs2YKBAwdi0aJFuP/++3Hq1Cn8+9//BgBMmTIFX375JebPn481a9bg7rvvRnp6erFgSo2teuXm5qJZs2Z45ZVX4Ofnh2+//RZPP/00atWqhZYtWyItLQ1PPvkk5syZg759++Lq1avYtWsXhBAYN24cjh07hqysLMTHxwMAAgMDS/25EFE55Np5YonkBg8eLHr37l1i2qRJk0T9+vWtZi9/9913hY+PjzCZTEIIITp06CDatWtnla9FixbilVdeEUIIsWnTJqHT6URaWpolPTExUQAQCQkJQoj/za69f/9+IYQQO3bsEADE5cuXrfYbFRUl5s+fb7WuSZMmYsqUKUIIIbZs2SK0Wq04f/68JX3Tpk1Wx1q+fHmxOuXl5QlPT0+xZcuWEs9DSeW5evWqMBgMYs2aNZZ1ly5dEp6enuKll14SQgjx+++/C0VRxMWLF63217lzZzFx4kQhhBCPP/646Nmzp1X6U089Jfz9/S0/T5kyRej1epGRkWFZ99133wk/Pz+Rm5trlbd27dri/fffF0IIcf/994uZM2dapX/yySciLCxMCCHE3LlzRb169UR+fn6J9VZTmnqV5KGHHhJjx44VQgiRkpIiAIgzZ86UuK3suoyPj7c6P0RU/rFliCqsY8eOoXXr1lAUxbKubdu2yM7OxoULF1CjRg0AQOPGja3yhYWFISMjA8CNTseRkZEIDQ21pN933323rbw1atRARESEZV3r1q2ttklJScHvv/8OX19fq/W5ubk4depUqY916tQp5OfnW+0/MDAQ9evXt/y8b98+CCFQr149q7x5eXkICgoCcOP89O3b1yr9vvvuwzfffGO1LioqCtWqVbOqR3Z2tmU/RXJyciz1SElJwd69ezFjxgxLuslkQm5uLq5fv47HHnsMCxYsQK1atdCjRw889NBDeOSRR2z23SpNvUwmE2bPno21a9fi4sWLyMvLQ15eHry9vQEATZo0QefOndGoUSN0794d3bp1w6OPPoqAgADpsYmoYmIwRBWWEMIqECpaB8BqvV6vt9pGURSYzWbVfThKo9FYjl/k5s7Et6bdWk7gxqO0Zs2a4dNPPy227c3Bhi0lHetWZrMZWq0WKSkplkdbRXx8fCz7UTvHNysKIm7ed1hYWIl9aYr6G5nNZkydOhX9+vUrto2HhwciIyNx/PhxJCYmYtu2bRg+fDjeeustJCUlFftM7a3X3LlzMX/+fCxYsACNGjWCt7c3Ro8ejfz8fAA3Os0nJiZi9+7d2Lp1KxYvXozJkyfjp59+QnR0tOqxiahiYjBEFVZMTAzWrVtn9Qt79+7d8PX1RfXq1Uu1jwYNGuDcuXP4888/ERISAgDYu3evNE9Rvx2TyWS1vlq1akhLS7P8nJWVhdTUVKvynjt3Dn/88QfCw8MBAD/++KPVPu69916sXbvW0unYUXXq1IFer8eePXssLWSXL1/GiRMn0KFDBwBA06ZNYTKZkJGRgfvvv7/E/TRo0AA///yz1bpffvnF5vHvvfdepKenQ6fToWbNmqrbHD9+HHXq1FHdj6enJ3r16oVevXphxIgRaNCgAQ4dOoR7771XNU9p6rVr1y707t0bAwcOBHAjgDp58iTuuusuyzaKoqBt27Zo27Yt3njjDURFRSEhIQFjxoyBwWAo9vkTUcXFt8mo3MvMzMSBAweslnPnzmH48OE4f/48YmNj8dtvv2HDhg2YMmUKxowZA42mdJd2165dUbt2bQwePBgHDx7EDz/8gMmTJwMo3mpTJCoqCoqi4JtvvsFff/2F7OxsAMADDzyATz75BLt27cLhw4cxePBgq5aJLl26oH79+hg0aBB+/fVX7Nq1y3KsIk899RSqVq2K3r17Y9euXUhNTUVSUhJeeuklXLhwodTnzMfHB8OGDcP48ePx3Xff4fDhwxgyZIjVealXrx6eeuopDBo0COvXr0dqair27t2LN998E//9738BALGxsfjvf/+LefPm4eTJk3j//fexadMmm61pXbp0QevWrdGnTx9s2bIFZ86cwe7du/Haa69Zgqk33ngDH3/8MeLi4nDkyBEcO3YMa9euxWuvvQYAWLFiBZYvX47Dhw/j9OnT+OSTT+Dp6YmoqCjpsUtTrzp16lhafo4dO4bnn38e6enpln389NNPmDlzJn755RecO3cO69evx19//WUJlmrWrImDBw/i+PHj+Pvvv916OAGiSsFFfZWISmXw4MECQLFl8ODBQgghdu7cKVq0aCEMBoMIDQ0Vr7zyiigoKLDk79Chg6XDcJHevXtb8gshxLFjx0Tbtm2FwWAQDRo0EF9//bUAIDZv3iyEKN6BWgghpk2bJkJDQ4WiKJZ9ZWZmiv79+ws/Pz8RGRkpVqxYYdWBWgghjh8/Ltq1aycMBoOoV6+e2Lx5s1UHaiGESEtLE4MGDRJVq1YVRqNR1KpVSzz33HMiMzOzxHOk1qH76tWrYuDAgcLLy0uEhISIOXPmFDsf+fn54o033hA1a9YUer1ehIaGir59+4qDBw9atlm2bJmoXr268PT0FH369BHTp08XoaGhlvQpU6aIJk2aFCtXVlaWiI2NFeHh4UKv14vIyEjx1FNPiXPnzlm22bx5s2jTpo3w9PQUfn5+4r777hPLli0TQgiRkJAgWrZsKfz8/IS3t7do1aqV2LZtW4nn4Fa26nXp0iXRu3dv4ePjI4KDg8Vrr70mBg0aZOkUffToUdG9e3dRrVo1YTQaRb169cTixYst+8/IyBBdu3YVPj4+AoDYsWOHJY0dqIkqHkWIUnQuIHIjP/zwA9q1a4fff/8dtWvXdnVxbNq5cyc6deqEy5cv35FBF5977jn89ttv2LVr120/VkW0YsUKjB49utyNUE5E6thniNxeQkICfHx8ULduXfz+++946aWX0LZt2woRCN0sIiICjzzySLHBA5319ttvo2vXrvD29samTZuwcuVKLFmypEyPUVn4+PigsLAQHh4eri4KEdmBwRC5vatXr2LChAk4f/48qlatii5dupQ4WnN51bJlS5w8eRLA/96WKks///wz5syZg6tXr6JWrVpYtGgRnn322TI/Tmnt2rULDz74oGp6UR8uVyiazPfWt9iIqHzjYzIiqlBycnJw8eJF1XTZ22lERCVhMERERERuja/WExERkVtjMERERERujcEQERERuTUGQ0REROTWGAwRERGRW2MwRERERG6NwRARERG5NQZDRERE5Nb+D/se0KgIrfEhAAAAAElFTkSuQmCC",
-      "text/plain": [
-       "<Figure size 640x480 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "ds.air.isel(time=0).plot()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
-   "id": "bee395ce-ea8d-4f07-b524-683b9081864d",
+   "execution_count": null,
+   "id": "9",
    "metadata": {},
    "outputs": [],
    "source": [
-    "from cartopy import crs as ccrs\n"
+    "from cartopy import crs as ccrs"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
-   "id": "dd3e0b41-be65-4712-8e7a-befd314e3b4c",
+   "execution_count": null,
+   "id": "10",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<cartopy.mpl.feature_artist.FeatureArtist at 0x29f02b340>"
-      ]
-     },
-     "execution_count": 10,
-     "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"
-    }
-   ],
+   "outputs": [],
    "source": [
     "fig, axis = plt.subplots(1, 1, subplot_kw=dict(projection=ccrs.Orthographic(-90, 30)))\n",
     "\n",
@@ -651,15 +125,15 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "74ff2130-c3f2-475a-8ca8-a347fe7f9e78",
+   "id": "11",
    "metadata": {},
    "outputs": [],
    "source": []
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
-   "id": "469b12bc-7f23-442c-833b-54e0da066bdb",
+   "execution_count": null,
+   "id": "12",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -668,29 +142,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
-   "id": "ef8ff7d3-ae9a-4524-a299-4a687fd65211",
+   "execution_count": null,
+   "id": "13",
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "CPU times: user 2.54 ms, sys: 154 µs, total: 2.69 ms\n",
-      "Wall time: 2.68 ms\n"
-     ]
-    },
-    {
-     "data": {
-      "text/plain": [
-       "0.6037735849056604"
-      ]
-     },
-     "execution_count": 23,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "resolution = 2\n",
     "\n",
@@ -704,21 +159,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
-   "id": "2c44d3ed-a5fe-4f4f-8901-071d2f709e9c",
+   "execution_count": null,
+   "id": "14",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "1325"
-      ]
-     },
-     "execution_count": 24,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "# index.shape\n",
     "len(index)"
@@ -726,8 +170,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
-   "id": "3c0dc420-e822-46a2-9101-45a9c7b9b44a",
+   "execution_count": null,
+   "id": "15",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -736,8 +180,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
-   "id": "20c08cec-bdaf-4671-baee-622fd04bdcaa",
+   "execution_count": null,
+   "id": "16",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -746,326 +190,74 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
-   "id": "c1e7ccc4-e310-4041-bfc9-dff0357360ea",
+   "execution_count": null,
+   "id": "17",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
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-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
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-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>geometry</th>\n",
-       "      <th>id</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
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-       "      <td>820d37fffffffff</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>820d07fffffffff</th>\n",
-       "      <td>None</td>\n",
-       "      <td>820d07fffffffff</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>820d1ffffffffff</th>\n",
-       "      <td>None</td>\n",
-       "      <td>820d1ffffffffff</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>820c37fffffffff</th>\n",
-       "      <td>None</td>\n",
-       "      <td>820c37fffffffff</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>820c07fffffffff</th>\n",
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-       "      <th>...</th>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>8234d7fffffffff</th>\n",
-       "      <td>None</td>\n",
-       "      <td>8234d7fffffffff</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>82572ffffffffff</th>\n",
-       "      <td>None</td>\n",
-       "      <td>82572ffffffffff</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>825777fffffffff</th>\n",
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-       "      <td>825777fffffffff</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>825757fffffffff</th>\n",
-       "      <td>None</td>\n",
-       "      <td>825757fffffffff</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>82575ffffffffff</th>\n",
-       "      <td>None</td>\n",
-       "      <td>82575ffffffffff</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>1325 rows × 2 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                geometry               id\n",
-       "820d37fffffffff     None  820d37fffffffff\n",
-       "820d07fffffffff     None  820d07fffffffff\n",
-       "820d1ffffffffff     None  820d1ffffffffff\n",
-       "820c37fffffffff     None  820c37fffffffff\n",
-       "820c07fffffffff     None  820c07fffffffff\n",
-       "...                  ...              ...\n",
-       "8234d7fffffffff     None  8234d7fffffffff\n",
-       "82572ffffffffff     None  82572ffffffffff\n",
-       "825777fffffffff     None  825777fffffffff\n",
-       "825757fffffffff     None  825757fffffffff\n",
-       "82575ffffffffff     None  82575ffffffffff\n",
-       "\n",
-       "[1325 rows x 2 columns]"
-      ]
-     },
-     "execution_count": 27,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "df"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
-   "id": "44db7c50-1ac8-43da-8a4d-ef95de635afb",
+   "execution_count": null,
+   "id": "18",
    "metadata": {},
    "outputs": [],
    "source": [
     "import shapely\n",
-    "from shapely.geometry import shape, mapping, Polygon"
+    "from shapely.geometry import Polygon, mapping, shape"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 37,
-   "id": "31ca7011-da2b-4344-8a29-e9d85eb97f48",
+   "execution_count": null,
+   "id": "19",
    "metadata": {},
    "outputs": [],
    "source": [
-    "df['geometry'] = df.apply(lambda r: Polygon(h3.h3_to_geo_boundary(r['id'], geo_json=True)), axis=1)"
+    "df[\"geometry\"] = df.apply(\n",
+    "    lambda r: Polygon(h3.h3_to_geo_boundary(r[\"id\"], geo_json=True)), axis=1\n",
+    ")"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 38,
-   "id": "4398b6a4-4377-4fa5-91d8-f4abd773dfbf",
+   "execution_count": null,
+   "id": "20",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>geometry</th>\n",
-       "      <th>id</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>820d37fffffffff</th>\n",
-       "      <td>POLYGON ((-163.45686807900944 76.1455673260825...</td>\n",
-       "      <td>820d37fffffffff</td>\n",
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-       "    <tr>\n",
-       "      <th>820d07fffffffff</th>\n",
-       "      <td>POLYGON ((-156.68473650523 73.75085590328372, ...</td>\n",
-       "      <td>820d07fffffffff</td>\n",
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-       "    <tr>\n",
-       "      <th>820d1ffffffffff</th>\n",
-       "      <td>POLYGON ((-160.79790121243346 71.0076187613270...</td>\n",
-       "      <td>820d1ffffffffff</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>820c37fffffffff</th>\n",
-       "      <td>POLYGON ((-163.8729684603252 68.21921734529467...</td>\n",
-       "      <td>820c37fffffffff</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>820c07fffffffff</th>\n",
-       "      <td>POLYGON ((-159.2859373808439 66.02866715337115...</td>\n",
-       "      <td>820c07fffffffff</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>...</th>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>8234d7fffffffff</th>\n",
-       "      <td>POLYGON ((-30.386417332925895 27.6177238571309...</td>\n",
-       "      <td>8234d7fffffffff</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>82572ffffffffff</th>\n",
-       "      <td>POLYGON ((-31.655200285380122 24.7947026994589...</td>\n",
-       "      <td>82572ffffffffff</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>825777fffffffff</th>\n",
-       "      <td>POLYGON ((-29.59996504669809 22.40230279430893...</td>\n",
-       "      <td>825777fffffffff</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>825757fffffffff</th>\n",
-       "      <td>POLYGON ((-30.824900138109847 19.6862191064201...</td>\n",
-       "      <td>825757fffffffff</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>82575ffffffffff</th>\n",
-       "      <td>POLYGON ((-28.89607467138024 17.37155025542475...</td>\n",
-       "      <td>82575ffffffffff</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>1325 rows × 2 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                                                          geometry  \\\n",
-       "820d37fffffffff  POLYGON ((-163.45686807900944 76.1455673260825...   \n",
-       "820d07fffffffff  POLYGON ((-156.68473650523 73.75085590328372, ...   \n",
-       "820d1ffffffffff  POLYGON ((-160.79790121243346 71.0076187613270...   \n",
-       "820c37fffffffff  POLYGON ((-163.8729684603252 68.21921734529467...   \n",
-       "820c07fffffffff  POLYGON ((-159.2859373808439 66.02866715337115...   \n",
-       "...                                                            ...   \n",
-       "8234d7fffffffff  POLYGON ((-30.386417332925895 27.6177238571309...   \n",
-       "82572ffffffffff  POLYGON ((-31.655200285380122 24.7947026994589...   \n",
-       "825777fffffffff  POLYGON ((-29.59996504669809 22.40230279430893...   \n",
-       "825757fffffffff  POLYGON ((-30.824900138109847 19.6862191064201...   \n",
-       "82575ffffffffff  POLYGON ((-28.89607467138024 17.37155025542475...   \n",
-       "\n",
-       "                              id  \n",
-       "820d37fffffffff  820d37fffffffff  \n",
-       "820d07fffffffff  820d07fffffffff  \n",
-       "820d1ffffffffff  820d1ffffffffff  \n",
-       "820c37fffffffff  820c37fffffffff  \n",
-       "820c07fffffffff  820c07fffffffff  \n",
-       "...                          ...  \n",
-       "8234d7fffffffff  8234d7fffffffff  \n",
-       "82572ffffffffff  82572ffffffffff  \n",
-       "825777fffffffff  825777fffffffff  \n",
-       "825757fffffffff  825757fffffffff  \n",
-       "82575ffffffffff  82575ffffffffff  \n",
-       "\n",
-       "[1325 rows x 2 columns]"
-      ]
-     },
-     "execution_count": 38,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "df"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 39,
-   "id": "3e418dbf-9454-4c69-8ada-3e16fdf52ee3",
+   "execution_count": null,
+   "id": "21",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/svg+xml": [
-       "<svg xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\" width=\"100.0\" height=\"100.0\" viewBox=\"-169.0616895439098 72.2311887129649 12.852989694013644 4.39041526845152\" preserveAspectRatio=\"xMinYMin meet\"><g transform=\"matrix(1,0,0,-1,0,148.85279269438132)\"><path fill-rule=\"evenodd\" fill=\"#66cc99\" stroke=\"#555555\" stroke-width=\"0.2570597938802729\" opacity=\"0.6\" d=\"M -163.45686807900944,76.14556732608257 L -168.58565288857596,74.93980975620119 L -167.0431169354343,73.24458055449543 L -161.5056445473101,72.70722536829874 L -156.68473650523,73.75085590328372 L -157.0299997629345,75.47864683380004 L -163.45686807900944,76.14556732608257 z\" /></g></svg>"
-      ],
-      "text/plain": [
-       "<POLYGON ((-163.457 76.146, -168.586 74.94, -167.043 73.245, -161.506 72.707...>"
-      ]
-     },
-     "execution_count": 39,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
-    "shapely.geometry.Polygon(df.iloc[0,0])"
+    "shapely.geometry.Polygon(df.iloc[0, 0])"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 40,
-   "id": "4198ded7-9595-48a5-9c4b-db8ae45fc0af",
+   "execution_count": null,
+   "id": "22",
    "metadata": {},
    "outputs": [],
    "source": [
     "gdf2 = gpd.GeoDataFrame(df, geometry=\"geometry\", crs=4326)\n",
-    "bb = shapely.geometry.box(-160,15,-30,70)"
+    "bb = shapely.geometry.box(-160, 15, -30, 70)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 42,
-   "id": "2e350d9c-bc51-46fa-a732-32cf552978c1",
+   "execution_count": null,
+   "id": "23",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "ax = gdf2.plot()\n",
     "# gpd.GeoDataFrame({'geometry':[bb]}, crs=4326).plot(ax=ax, color=\"gray\")"
@@ -1073,8 +265,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 43,
-   "id": "bf2e443f-e9a0-4d3d-9949-ac8ad864d503",
+   "execution_count": null,
+   "id": "24",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1083,29 +275,30 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 44,
-   "id": "93e3f33c-2c6a-4652-8c28-2b3460fb0665",
+   "execution_count": null,
+   "id": "25",
    "metadata": {},
    "outputs": [],
    "source": [
-    "df3 = pd.DataFrame(ll).rename(columns={0:\"h3\"})"
+    "df3 = pd.DataFrame(ll).rename(columns={0: \"h3\"})"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 45,
-   "id": "29a23c1d-8747-4ba6-8d86-f068985d2c07",
+   "execution_count": null,
+   "id": "26",
    "metadata": {},
    "outputs": [],
    "source": [
-    "df3['geometry'] = df3.apply(\n",
-    "    lambda r: Polygon(h3.h3_to_geo_boundary(r['h3'], geo_json=True)), axis=1)"
+    "df3[\"geometry\"] = df3.apply(\n",
+    "    lambda r: Polygon(h3.h3_to_geo_boundary(r[\"h3\"], geo_json=True)), axis=1\n",
+    ")"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 46,
-   "id": "c01ca524-f939-4361-a0a4-d444e71f9a1f",
+   "execution_count": null,
+   "id": "27",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1114,151 +307,29 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 47,
-   "id": "72a741f6-1d07-4d62-833a-4a3f39ff7b60",
+   "execution_count": null,
+   "id": "28",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<Axes: >"
-      ]
-     },
-     "execution_count": 47,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "gdf3x.plot()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 58,
-   "id": "5c821f73-0829-483c-aa74-41643ea4576e",
+   "execution_count": null,
+   "id": "29",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>geometry</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>h3</th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>8244affffffffff</th>\n",
-       "      <td>POLYGON ((-80.69856 26.06269, -79.21173 26.761...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>82506ffffffffff</th>\n",
-       "      <td>POLYGON ((-141.50188 24.18117, -142.71887 22.8...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>821227fffffffff</th>\n",
-       "      <td>POLYGON ((-120.00772 63.45393, -121.99326 62.1...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>821247fffffffff</th>\n",
-       "      <td>POLYGON ((-107.13363 57.29953, -109.36840 56.1...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>821d97fffffffff</th>\n",
-       "      <td>POLYGON ((-154.37896 52.03225, -152.85036 53.0...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>...</th>\n",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>82379ffffffffff</th>\n",
-       "      <td>POLYGON ((-157.66270 34.85325, -158.85034 33.5...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>822777fffffffff</th>\n",
-       "      <td>POLYGON ((-88.65412 49.81242, -91.06290 49.082...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>8244cffffffffff</th>\n",
-       "      <td>POLYGON ((-84.76158 33.83307, -83.10474 34.505...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>820ecffffffffff</th>\n",
-       "      <td>POLYGON ((-80.86152 51.71301, -83.54839 51.133...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>8237b7fffffffff</th>\n",
-       "      <td>POLYGON ((-159.94763 39.09942, -161.15685 37.8...</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>734 rows × 1 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                                                          geometry\n",
-       "h3                                                                \n",
-       "8244affffffffff  POLYGON ((-80.69856 26.06269, -79.21173 26.761...\n",
-       "82506ffffffffff  POLYGON ((-141.50188 24.18117, -142.71887 22.8...\n",
-       "821227fffffffff  POLYGON ((-120.00772 63.45393, -121.99326 62.1...\n",
-       "821247fffffffff  POLYGON ((-107.13363 57.29953, -109.36840 56.1...\n",
-       "821d97fffffffff  POLYGON ((-154.37896 52.03225, -152.85036 53.0...\n",
-       "...                                                            ...\n",
-       "82379ffffffffff  POLYGON ((-157.66270 34.85325, -158.85034 33.5...\n",
-       "822777fffffffff  POLYGON ((-88.65412 49.81242, -91.06290 49.082...\n",
-       "8244cffffffffff  POLYGON ((-84.76158 33.83307, -83.10474 34.505...\n",
-       "820ecffffffffff  POLYGON ((-80.86152 51.71301, -83.54839 51.133...\n",
-       "8237b7fffffffff  POLYGON ((-159.94763 39.09942, -161.15685 37.8...\n",
-       "\n",
-       "[734 rows x 1 columns]"
-      ]
-     },
-     "execution_count": 58,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
-    "gdf3x_h3 =  gdf3x.set_index(\"h3\", drop=True)\n",
+    "gdf3x_h3 = gdf3x.set_index(\"h3\", drop=True)\n",
     "gdf3x_h3"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "87467f48-17a7-4a05-a819-0ce4b16d5857",
+   "id": "30",
    "metadata": {},
    "outputs": [],
    "source": []
@@ -1266,7 +337,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "85da0955-e468-48d9-8ebc-28d96536e1f4",
+   "id": "31",
    "metadata": {},
    "outputs": [],
    "source": []
@@ -1274,491 +345,17 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "5468520a-873b-4453-b60b-4b3e1be4c432",
+   "id": "32",
    "metadata": {},
    "outputs": [],
    "source": []
   },
   {
    "cell_type": "code",
-   "execution_count": 48,
-   "id": "16e6fb30-a973-4b74-95ec-ea3baaeeb9b7",
+   "execution_count": null,
+   "id": "33",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
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-       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
-       "Dimensions:  (lat: 25, time: 2920, lon: 53)\n",
-       "Coordinates:\n",
-       "  * lat      (lat) float32 75.0 72.5 70.0 67.5 65.0 ... 25.0 22.5 20.0 17.5 15.0\n",
-       "  * lon      (lon) float32 200.0 202.5 205.0 207.5 ... 322.5 325.0 327.5 330.0\n",
-       "  * time     (time) datetime64[ns] 2013-01-01 ... 2014-12-31T18:00:00\n",
-       "Data variables:\n",
-       "    air      (time, lat, lon) float32 241.2 242.5 243.5 ... 296.5 296.2 295.7\n",
-       "Attributes:\n",
-       "    Conventions:  COARDS\n",
-       "    title:        4x daily NMC reanalysis (1948)\n",
-       "    description:  Data is from NMC initialized reanalysis\\n(4x/day).  These a...\n",
-       "    platform:     Model\n",
-       "    references:   http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanaly...</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-9b2a2b48-09c2-46cf-89c7-55f42a11f361' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-9b2a2b48-09c2-46cf-89c7-55f42a11f361' 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'>lat</span>: 25</li><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-2f14f9c8-a101-4955-b2d4-e1e057fbf84b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2f14f9c8-a101-4955-b2d4-e1e057fbf84b' 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'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-03d44011-d36b-4d00-a98f-f849d8d6f2ad' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-03d44011-d36b-4d00-a98f-f849d8d6f2ad' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-83fe7bc3-80d0-4747-8681-687dd00bcdfb' class='xr-var-data-in' type='checkbox'><label for='data-83fe7bc3-80d0-4747-8681-687dd00bcdfb' 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>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,\n",
-       "       45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5,\n",
-       "       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-68574aa9-6ab3-41e7-bf87-93eb1b652e1b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-68574aa9-6ab3-41e7-bf87-93eb1b652e1b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b1d3eb9d-9a8a-49ed-abc0-429c3ea43f5b' class='xr-var-data-in' type='checkbox'><label for='data-b1d3eb9d-9a8a-49ed-abc0-429c3ea43f5b' 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>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,\n",
-       "       225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,\n",
-       "       250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,\n",
-       "       275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,\n",
-       "       300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,\n",
-       "       325. , 327.5, 330. ], dtype=float32)</pre></div></li><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'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-66125077-8a6c-4b96-8af4-3c1446bbb172' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-66125077-8a6c-4b96-8af4-3c1446bbb172' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-02bbc8e6-00c2-4b52-8c1e-4cac98b68cb7' class='xr-var-data-in' type='checkbox'><label for='data-02bbc8e6-00c2-4b52-8c1e-4cac98b68cb7' 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>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,\n",
-       "       &#x27;2013-01-01T12:00:00.000000000&#x27;, ..., &#x27;2014-12-31T06:00:00.000000000&#x27;,\n",
-       "       &#x27;2014-12-31T12:00:00.000000000&#x27;, &#x27;2014-12-31T18:00:00.000000000&#x27;],\n",
-       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d34f2d26-381b-4f4a-9730-9a1503e27389' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d34f2d26-381b-4f4a-9730-9a1503e27389' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>241.2 242.5 243.5 ... 296.2 295.7</div><input id='attrs-3a784c24-ed4b-422d-bd10-e194fb2664a8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3a784c24-ed4b-422d-bd10-e194fb2664a8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-392cd25f-bf70-40dc-be3b-4bfb5e41ce79' class='xr-var-data-in' type='checkbox'><label for='data-392cd25f-bf70-40dc-be3b-4bfb5e41ce79' 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>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div><div class='xr-var-data'><pre>array([[[241.2    , 242.5    , 243.5    , ..., 232.79999, 235.5    ,\n",
-       "         238.59999],\n",
-       "        [243.79999, 244.5    , 244.7    , ..., 232.79999, 235.29999,\n",
-       "         239.29999],\n",
-       "        [250.     , 249.79999, 248.89   , ..., 233.2    , 236.39   ,\n",
-       "         241.7    ],\n",
-       "        ...,\n",
-       "        [296.6    , 296.19998, 296.4    , ..., 295.4    , 295.1    ,\n",
-       "         294.69998],\n",
-       "        [295.9    , 296.19998, 296.79   , ..., 295.9    , 295.9    ,\n",
-       "         295.19998],\n",
-       "        [296.29   , 296.79   , 297.1    , ..., 296.9    , 296.79   ,\n",
-       "         296.6    ]],\n",
-       "\n",
-       "       [[242.09999, 242.7    , 243.09999, ..., 232.     , 233.59999,\n",
-       "         235.79999],\n",
-       "        [243.59999, 244.09999, 244.2    , ..., 231.     , 232.5    ,\n",
-       "         235.7    ],\n",
-       "        [253.2    , 252.89   , 252.09999, ..., 230.79999, 233.39   ,\n",
-       "         238.5    ],\n",
-       "...\n",
-       "        [293.69   , 293.88998, 295.38998, ..., 295.09   , 294.69   ,\n",
-       "         294.29   ],\n",
-       "        [296.29   , 297.19   , 297.59   , ..., 295.29   , 295.09   ,\n",
-       "         294.38998],\n",
-       "        [297.79   , 298.38998, 298.49   , ..., 295.69   , 295.49   ,\n",
-       "         295.19   ]],\n",
-       "\n",
-       "       [[245.09   , 244.29   , 243.29   , ..., 241.68999, 241.48999,\n",
-       "         241.79   ],\n",
-       "        [249.89   , 249.29   , 248.39   , ..., 239.59   , 240.29   ,\n",
-       "         241.68999],\n",
-       "        [262.99   , 262.19   , 261.38998, ..., 239.89   , 242.59   ,\n",
-       "         246.29   ],\n",
-       "        ...,\n",
-       "        [293.79   , 293.69   , 295.09   , ..., 295.29   , 295.09   ,\n",
-       "         294.69   ],\n",
-       "        [296.09   , 296.88998, 297.19   , ..., 295.69   , 295.69   ,\n",
-       "         295.19   ],\n",
-       "        [297.69   , 298.09   , 298.09   , ..., 296.49   , 296.19   ,\n",
-       "         295.69   ]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f6831b50-61f4-4d12-8f58-383c1e824f18' class='xr-section-summary-in' type='checkbox'  ><label for='section-f6831b50-61f4-4d12-8f58-383c1e824f18' 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>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-302f4200-8728-4880-a023-e1d83983f126' class='xr-index-data-in' type='checkbox'/><label for='index-302f4200-8728-4880-a023-e1d83983f126' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,\n",
-       "       45.0, 42.5, 40.0, 37.5, 35.0, 32.5, 30.0, 27.5, 25.0, 22.5, 20.0, 17.5,\n",
-       "       15.0],\n",
-       "      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-6a7367af-c835-4015-8a2a-8def0b294035' class='xr-index-data-in' type='checkbox'/><label for='index-6a7367af-c835-4015-8a2a-8def0b294035' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,\n",
-       "       225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,\n",
-       "       250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,\n",
-       "       275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,\n",
-       "       300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,\n",
-       "       325.0, 327.5, 330.0],\n",
-       "      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><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-d743ab82-b8f5-4ce6-8377-66a77924039e' class='xr-index-data-in' type='checkbox'/><label for='index-d743ab82-b8f5-4ce6-8377-66a77924039e' 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;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,\n",
-       "               &#x27;2013-01-01 12:00:00&#x27;, &#x27;2013-01-01 18:00:00&#x27;,\n",
-       "               &#x27;2013-01-02 00:00:00&#x27;, &#x27;2013-01-02 06:00:00&#x27;,\n",
-       "               &#x27;2013-01-02 12:00:00&#x27;, &#x27;2013-01-02 18:00:00&#x27;,\n",
-       "               &#x27;2013-01-03 00:00:00&#x27;, &#x27;2013-01-03 06:00:00&#x27;,\n",
-       "               ...\n",
-       "               &#x27;2014-12-29 12:00:00&#x27;, &#x27;2014-12-29 18:00:00&#x27;,\n",
-       "               &#x27;2014-12-30 00:00:00&#x27;, &#x27;2014-12-30 06:00:00&#x27;,\n",
-       "               &#x27;2014-12-30 12:00:00&#x27;, &#x27;2014-12-30 18:00:00&#x27;,\n",
-       "               &#x27;2014-12-31 00:00:00&#x27;, &#x27;2014-12-31 06:00:00&#x27;,\n",
-       "               &#x27;2014-12-31 12:00:00&#x27;, &#x27;2014-12-31 18:00:00&#x27;],\n",
-       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5279164a-b695-4b86-ad28-e894299dfa62' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5279164a-b695-4b86-ad28-e894299dfa62' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>COARDS</dd><dt><span>title :</span></dt><dd>4x daily NMC reanalysis (1948)</dd><dt><span>description :</span></dt><dd>Data is from NMC initialized reanalysis\n",
-       "(4x/day).  These are the 0.9950 sigma level values.</dd><dt><span>platform :</span></dt><dd>Model</dd><dt><span>references :</span></dt><dd>http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanalysis.html</dd></dl></div></li></ul></div></div>"
-      ],
-      "text/plain": [
-       "<xarray.Dataset>\n",
-       "Dimensions:  (lat: 25, time: 2920, lon: 53)\n",
-       "Coordinates:\n",
-       "  * lat      (lat) float32 75.0 72.5 70.0 67.5 65.0 ... 25.0 22.5 20.0 17.5 15.0\n",
-       "  * lon      (lon) float32 200.0 202.5 205.0 207.5 ... 322.5 325.0 327.5 330.0\n",
-       "  * time     (time) datetime64[ns] 2013-01-01 ... 2014-12-31T18:00:00\n",
-       "Data variables:\n",
-       "    air      (time, lat, lon) float32 241.2 242.5 243.5 ... 296.5 296.2 295.7\n",
-       "Attributes:\n",
-       "    Conventions:  COARDS\n",
-       "    title:        4x daily NMC reanalysis (1948)\n",
-       "    description:  Data is from NMC initialized reanalysis\\n(4x/day).  These a...\n",
-       "    platform:     Model\n",
-       "    references:   http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanaly..."
-      ]
-     },
-     "execution_count": 48,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "ds = xr.tutorial.load_dataset(\"air_temperature\").load()\n",
     "ds"
@@ -1767,7 +364,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "37c13c57-7c45-45db-84a5-172e2df9c6e9",
+   "id": "34",
    "metadata": {},
    "outputs": [],
    "source": []
@@ -1775,37 +372,26 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "44a496a6-97c0-40b5-8337-6829855d923a",
+   "id": "35",
    "metadata": {},
    "outputs": [],
    "source": []
   },
   {
    "cell_type": "code",
-   "execution_count": 63,
-   "id": "ff9a7545-babd-4eda-a4c2-cf44f46910cf",
+   "execution_count": null,
+   "id": "36",
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "creating polygons for each pixel...\n",
-      "lat/lon bounds not found in dataset; they will be created.\n",
-      "calculating overlaps between pixels and output polygons...\n",
-      "success!\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "# Calculate overlaps\n",
     "# weightmap = xa.pixel_overlaps(ds.rename_dims({\"ni\": \"x\", \"nj\": \"y\"}),gdf)\n",
-    "weightmap = xa.pixel_overlaps(ds,gdf3x)"
+    "weightmap = xa.pixel_overlaps(ds, gdf3x)"
    ]
   },
   {
    "cell_type": "raw",
-   "id": "ce6f4bd7-92e2-44c6-8349-0c72605c9cf5",
+   "id": "37",
    "metadata": {},
    "source": [
     "# Export weightmap\n",
@@ -1814,639 +400,40 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 65,
-   "id": "b1278e25-5923-42b6-8cc7-2807b01a91f2",
+   "execution_count": null,
+   "id": "38",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<xagg.classes.weightmap at 0x2c5baff70>"
-      ]
-     },
-     "execution_count": 65,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "weightmap"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 66,
-   "id": "e3806417-d94f-401a-bbf8-e8f697d0cb60",
+   "execution_count": null,
+   "id": "39",
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "aggregating air...\n",
-      "all variables aggregated to polygons!\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
-    "aggregated = xa.aggregate(ds,weightmap)"
+    "aggregated = xa.aggregate(ds, weightmap)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 67,
-   "id": "a9bad82c-3cb0-4970-93c5-b88b96f903b7",
+   "execution_count": null,
+   "id": "40",
    "metadata": {},
-   "outputs": [
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-       "}\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:   (poly_idx: 734, time: 2920)\n",
-       "Coordinates:\n",
-       "  * poly_idx  (poly_idx) int64 0 1 2 3 4 5 6 7 ... 727 728 729 730 731 732 733\n",
-       "  * time      (time) datetime64[ns] 2013-01-01 ... 2014-12-31T18:00:00\n",
-       "Data variables:\n",
-       "    h3        (poly_idx) object &#x27;8244affffffffff&#x27; ... &#x27;8237b7fffffffff&#x27;\n",
-       "    air       (poly_idx, time) float64 291.9 291.0 291.3 ... 284.4 284.3 284.5</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-43911a6a-c5c7-49b2-afc1-6513359aee20' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-43911a6a-c5c7-49b2-afc1-6513359aee20' 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'>poly_idx</span>: 734</li><li><span class='xr-has-index'>time</span>: 2920</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-67deb214-4e9a-48c7-8ba3-7c1b44a3dd84' class='xr-section-summary-in' type='checkbox'  checked><label for='section-67deb214-4e9a-48c7-8ba3-7c1b44a3dd84' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>poly_idx</span></div><div class='xr-var-dims'>(poly_idx)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 ... 729 730 731 732 733</div><input id='attrs-a6068f32-d176-4086-ad21-41c157b21091' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a6068f32-d176-4086-ad21-41c157b21091' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-37f68232-71ad-430f-a7d9-2a2c04a81863' class='xr-var-data-in' type='checkbox'><label for='data-37f68232-71ad-430f-a7d9-2a2c04a81863' 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, ..., 731, 732, 733])</pre></div></li><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'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-9fe31e22-e52c-4d18-a653-246b218b3810' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9fe31e22-e52c-4d18-a653-246b218b3810' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4a7ff1b8-ce58-42de-9988-ee77f6a36c7f' class='xr-var-data-in' type='checkbox'><label for='data-4a7ff1b8-ce58-42de-9988-ee77f6a36c7f' 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;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,\n",
-       "       &#x27;2013-01-01T12:00:00.000000000&#x27;, ..., &#x27;2014-12-31T06:00:00.000000000&#x27;,\n",
-       "       &#x27;2014-12-31T12:00:00.000000000&#x27;, &#x27;2014-12-31T18:00:00.000000000&#x27;],\n",
-       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6e111ba6-cd41-4d05-8fe5-e6414f83d79a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6e111ba6-cd41-4d05-8fe5-e6414f83d79a' 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>h3</span></div><div class='xr-var-dims'>(poly_idx)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;8244affffffffff&#x27; ... &#x27;8237b7fff...</div><input id='attrs-0d137fa7-a447-4afa-966b-31fbc95a7327' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0d137fa7-a447-4afa-966b-31fbc95a7327' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a5623b2d-3014-4497-9a5b-7e1ce666a832' class='xr-var-data-in' type='checkbox'><label for='data-a5623b2d-3014-4497-9a5b-7e1ce666a832' 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;8244affffffffff&#x27;, &#x27;82506ffffffffff&#x27;, &#x27;821227fffffffff&#x27;,\n",
-       "       &#x27;821247fffffffff&#x27;, &#x27;821d97fffffffff&#x27;, &#x27;822a6ffffffffff&#x27;,\n",
-       "       &#x27;825d6ffffffffff&#x27;, &#x27;821d2ffffffffff&#x27;, &#x27;822a2ffffffffff&#x27;,\n",
-       "       &#x27;82289ffffffffff&#x27;, &#x27;82482ffffffffff&#x27;, &#x27;822a0ffffffffff&#x27;,\n",
-       "       &#x27;820c0ffffffffff&#x27;, &#x27;823ad7fffffffff&#x27;, &#x27;821ce7fffffffff&#x27;,\n",
-       "       &#x27;822687fffffffff&#x27;, &#x27;821a9ffffffffff&#x27;, &#x27;823b37fffffffff&#x27;,\n",
-       "       &#x27;8212a7fffffffff&#x27;, &#x27;8229a7fffffffff&#x27;, &#x27;820c67fffffffff&#x27;,\n",
-       "       &#x27;824967fffffffff&#x27;, &#x27;822907fffffffff&#x27;, &#x27;823a47fffffffff&#x27;,\n",
-       "       &#x27;8212effffffffff&#x27;, &#x27;821ac7fffffffff&#x27;, &#x27;821ab7fffffffff&#x27;,\n",
-       "       &#x27;821d57fffffffff&#x27;, &#x27;82366ffffffffff&#x27;, &#x27;821d1ffffffffff&#x27;,\n",
-       "       &#x27;825607fffffffff&#x27;, &#x27;82239ffffffffff&#x27;, &#x27;823727fffffffff&#x27;,\n",
-       "       &#x27;822bb7fffffffff&#x27;, &#x27;82466ffffffffff&#x27;, &#x27;8249a7fffffffff&#x27;,\n",
-       "       &#x27;824497fffffffff&#x27;, &#x27;8250d7fffffffff&#x27;, &#x27;8228e7fffffffff&#x27;,\n",
-       "       &#x27;82131ffffffffff&#x27;, &#x27;823497fffffffff&#x27;, &#x27;820e47fffffffff&#x27;,\n",
-       "       &#x27;824557fffffffff&#x27;, &#x27;822b5ffffffffff&#x27;, &#x27;825ecffffffffff&#x27;,\n",
-       "       &#x27;822a67fffffffff&#x27;, &#x27;820c07fffffffff&#x27;, &#x27;821337fffffffff&#x27;,\n",
-       "       &#x27;82361ffffffffff&#x27;, &#x27;823487fffffffff&#x27;, &#x27;821cdffffffffff&#x27;,\n",
-       "       &#x27;82448ffffffffff&#x27;, &#x27;820ccffffffffff&#x27;, &#x27;82480ffffffffff&#x27;,\n",
-       "       &#x27;8248b7fffffffff&#x27;, &#x27;820d5ffffffffff&#x27;, &#x27;821d9ffffffffff&#x27;,\n",
-       "       &#x27;822af7fffffffff&#x27;, &#x27;8206e7fffffffff&#x27;, &#x27;8234b7fffffffff&#x27;,\n",
-       "...\n",
-       "       &#x27;820f5ffffffffff&#x27;, &#x27;821d77fffffffff&#x27;, &#x27;82295ffffffffff&#x27;,\n",
-       "       &#x27;821caffffffffff&#x27;, &#x27;824947fffffffff&#x27;, &#x27;823b9ffffffffff&#x27;,\n",
-       "       &#x27;82488ffffffffff&#x27;, &#x27;821c27fffffffff&#x27;, &#x27;822b4ffffffffff&#x27;,\n",
-       "       &#x27;82279ffffffffff&#x27;, &#x27;820e67fffffffff&#x27;, &#x27;8248effffffffff&#x27;,\n",
-       "       &#x27;822ab7fffffffff&#x27;, &#x27;824ca7fffffffff&#x27;, &#x27;823b87fffffffff&#x27;,\n",
-       "       &#x27;820d57fffffffff&#x27;, &#x27;8248d7fffffffff&#x27;, &#x27;82360ffffffffff&#x27;,\n",
-       "       &#x27;820607fffffffff&#x27;, &#x27;82124ffffffffff&#x27;, &#x27;823687fffffffff&#x27;,\n",
-       "       &#x27;8206c7fffffffff&#x27;, &#x27;8202cffffffffff&#x27;, &#x27;821a4ffffffffff&#x27;,\n",
-       "       &#x27;82486ffffffffff&#x27;, &#x27;8226cffffffffff&#x27;, &#x27;8226a7fffffffff&#x27;,\n",
-       "       &#x27;8250effffffffff&#x27;, &#x27;822387fffffffff&#x27;, &#x27;820c2ffffffffff&#x27;,\n",
-       "       &#x27;820e2ffffffffff&#x27;, &#x27;8226e7fffffffff&#x27;, &#x27;820eb7fffffffff&#x27;,\n",
-       "       &#x27;82444ffffffffff&#x27;, &#x27;821aaffffffffff&#x27;, &#x27;822977fffffffff&#x27;,\n",
-       "       &#x27;825c27fffffffff&#x27;, &#x27;820f97fffffffff&#x27;, &#x27;82138ffffffffff&#x27;,\n",
-       "       &#x27;823707fffffffff&#x27;, &#x27;824827fffffffff&#x27;, &#x27;824987fffffffff&#x27;,\n",
-       "       &#x27;822a4ffffffffff&#x27;, &#x27;82261ffffffffff&#x27;, &#x27;821b5ffffffffff&#x27;,\n",
-       "       &#x27;824d1ffffffffff&#x27;, &#x27;82368ffffffffff&#x27;, &#x27;822ae7fffffffff&#x27;,\n",
-       "       &#x27;822897fffffffff&#x27;, &#x27;821ae7fffffffff&#x27;, &#x27;823baffffffffff&#x27;,\n",
-       "       &#x27;82504ffffffffff&#x27;, &#x27;822657fffffffff&#x27;, &#x27;8228cffffffffff&#x27;,\n",
-       "       &#x27;82379ffffffffff&#x27;, &#x27;822777fffffffff&#x27;, &#x27;8244cffffffffff&#x27;,\n",
-       "       &#x27;820ecffffffffff&#x27;, &#x27;8237b7fffffffff&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(poly_idx, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>291.9 291.0 291.3 ... 284.3 284.5</div><input id='attrs-8c5dd53e-a9f4-44aa-8a3c-d60ad262da28' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8c5dd53e-a9f4-44aa-8a3c-d60ad262da28' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dc466492-73d4-4b91-8257-c367b625475c' class='xr-var-data-in' type='checkbox'><label for='data-dc466492-73d4-4b91-8257-c367b625475c' 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([[291.92884405, 290.99186289, 291.33253881, ..., 293.67901364,\n",
-       "        293.40958865, 294.51149951],\n",
-       "       [292.308513  , 292.40172554, 292.04916245, ..., 294.72601316,\n",
-       "        294.84370083, 295.65580678],\n",
-       "       [268.66127747, 267.85559463, 266.61923226, ..., 269.65452323,\n",
-       "        267.2232846 , 265.0453039 ],\n",
-       "       ...,\n",
-       "       [278.45193936, 276.00329865, 278.9632355 , ..., 268.96704881,\n",
-       "        269.22845775, 273.94136009],\n",
-       "       [257.94577837, 251.41646928, 249.58891942, ..., 249.44443639,\n",
-       "        252.45125769, 259.77819074],\n",
-       "       [286.40241485, 286.11972162, 284.97639334, ..., 284.44333626,\n",
-       "        284.26280168, 284.54962449]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-63e302f4-f571-4dd2-9e99-979c75b491dd' class='xr-section-summary-in' type='checkbox'  ><label for='section-63e302f4-f571-4dd2-9e99-979c75b491dd' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>poly_idx</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-519421b8-3d17-4276-b93b-f2d18460b8b6' class='xr-index-data-in' type='checkbox'/><label for='index-519421b8-3d17-4276-b93b-f2d18460b8b6' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  0,   1,   2,   3,   4,   5,   6,   7,   8,   9,\n",
-       "       ...\n",
-       "       724, 725, 726, 727, 728, 729, 730, 731, 732, 733],\n",
-       "      dtype=&#x27;int64&#x27;, name=&#x27;poly_idx&#x27;, length=734))</pre></div></li><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-971612db-1e0d-4eab-b3cc-4d497db37c89' class='xr-index-data-in' type='checkbox'/><label for='index-971612db-1e0d-4eab-b3cc-4d497db37c89' 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;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,\n",
-       "               &#x27;2013-01-01 12:00:00&#x27;, &#x27;2013-01-01 18:00:00&#x27;,\n",
-       "               &#x27;2013-01-02 00:00:00&#x27;, &#x27;2013-01-02 06:00:00&#x27;,\n",
-       "               &#x27;2013-01-02 12:00:00&#x27;, &#x27;2013-01-02 18:00:00&#x27;,\n",
-       "               &#x27;2013-01-03 00:00:00&#x27;, &#x27;2013-01-03 06:00:00&#x27;,\n",
-       "               ...\n",
-       "               &#x27;2014-12-29 12:00:00&#x27;, &#x27;2014-12-29 18:00:00&#x27;,\n",
-       "               &#x27;2014-12-30 00:00:00&#x27;, &#x27;2014-12-30 06:00:00&#x27;,\n",
-       "               &#x27;2014-12-30 12:00:00&#x27;, &#x27;2014-12-30 18:00:00&#x27;,\n",
-       "               &#x27;2014-12-31 00:00:00&#x27;, &#x27;2014-12-31 06:00:00&#x27;,\n",
-       "               &#x27;2014-12-31 12:00:00&#x27;, &#x27;2014-12-31 18:00:00&#x27;],\n",
-       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b226f0bb-83aa-469f-9b19-fd23b739c03d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b226f0bb-83aa-469f-9b19-fd23b739c03d' 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:   (poly_idx: 734, time: 2920)\n",
-       "Coordinates:\n",
-       "  * poly_idx  (poly_idx) int64 0 1 2 3 4 5 6 7 ... 727 728 729 730 731 732 733\n",
-       "  * time      (time) datetime64[ns] 2013-01-01 ... 2014-12-31T18:00:00\n",
-       "Data variables:\n",
-       "    h3        (poly_idx) object '8244affffffffff' ... '8237b7fffffffff'\n",
-       "    air       (poly_idx, time) float64 291.9 291.0 291.3 ... 284.4 284.3 284.5"
-      ]
-     },
-     "execution_count": 67,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "aggregated.to_dataset()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 68,
-   "id": "55e08eb7-da2c-4823-bc82-d3cf5bab35fd",
+   "execution_count": null,
+   "id": "41",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
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-       "  <thead>\n",
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-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th>h3</th>\n",
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-       "    <tr>\n",
-       "      <th>poly_idx</th>\n",
-       "      <th>time</th>\n",
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-       "  </thead>\n",
-       "  <tbody>\n",
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-       "      <th rowspan=\"5\" valign=\"top\">0</th>\n",
-       "      <th>2013-01-01 00:00:00</th>\n",
-       "      <td>8244affffffffff</td>\n",
-       "      <td>291.928844</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2013-01-01 06:00:00</th>\n",
-       "      <td>8244affffffffff</td>\n",
-       "      <td>290.991863</td>\n",
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-       "    <tr>\n",
-       "      <th>2013-01-01 12:00:00</th>\n",
-       "      <td>8244affffffffff</td>\n",
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-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2013-01-01 18:00:00</th>\n",
-       "      <td>8244affffffffff</td>\n",
-       "      <td>295.942891</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2013-01-02 00:00:00</th>\n",
-       "      <td>8244affffffffff</td>\n",
-       "      <td>294.423418</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>...</th>\n",
-       "      <th>...</th>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th rowspan=\"5\" valign=\"top\">733</th>\n",
-       "      <th>2014-12-30 18:00:00</th>\n",
-       "      <td>8237b7fffffffff</td>\n",
-       "      <td>284.574539</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2014-12-31 00:00:00</th>\n",
-       "      <td>8237b7fffffffff</td>\n",
-       "      <td>284.226385</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2014-12-31 06:00:00</th>\n",
-       "      <td>8237b7fffffffff</td>\n",
-       "      <td>284.443336</td>\n",
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-       "    <tr>\n",
-       "      <th>2014-12-31 12:00:00</th>\n",
-       "      <td>8237b7fffffffff</td>\n",
-       "      <td>284.262802</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2014-12-31 18:00:00</th>\n",
-       "      <td>8237b7fffffffff</td>\n",
-       "      <td>284.549624</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>2143280 rows × 2 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                                           h3         air\n",
-       "poly_idx time                                            \n",
-       "0        2013-01-01 00:00:00  8244affffffffff  291.928844\n",
-       "         2013-01-01 06:00:00  8244affffffffff  290.991863\n",
-       "         2013-01-01 12:00:00  8244affffffffff  291.332539\n",
-       "         2013-01-01 18:00:00  8244affffffffff  295.942891\n",
-       "         2013-01-02 00:00:00  8244affffffffff  294.423418\n",
-       "...                                       ...         ...\n",
-       "733      2014-12-30 18:00:00  8237b7fffffffff  284.574539\n",
-       "         2014-12-31 00:00:00  8237b7fffffffff  284.226385\n",
-       "         2014-12-31 06:00:00  8237b7fffffffff  284.443336\n",
-       "         2014-12-31 12:00:00  8237b7fffffffff  284.262802\n",
-       "         2014-12-31 18:00:00  8237b7fffffffff  284.549624\n",
-       "\n",
-       "[2143280 rows x 2 columns]"
-      ]
-     },
-     "execution_count": 68,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "df_out = aggregated.to_dataframe()\n",
     "df_out"
@@ -2454,142 +441,30 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 69,
-   "id": "9916879a-6a02-4fe7-9282-4822adc0260c",
+   "execution_count": null,
+   "id": "42",
    "metadata": {},
    "outputs": [],
    "source": [
-    "first_entries = df_out.groupby(level='poly_idx').first()"
+    "first_entries = df_out.groupby(level=\"poly_idx\").first()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
-   "id": "55313c47-ce1c-4014-8eaf-e05bbacd9319",
+   "execution_count": null,
+   "id": "43",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "pandas.core.frame.DataFrame"
-      ]
-     },
-     "execution_count": 27,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "type(first_entries)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 70,
-   "id": "4de7946d-2ef0-4775-af0f-918ba0a1a435",
+   "execution_count": null,
+   "id": "44",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
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-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>air</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>h3</th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>8244affffffffff</th>\n",
-       "      <td>291.928844</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>82506ffffffffff</th>\n",
-       "      <td>292.308513</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>821227fffffffff</th>\n",
-       "      <td>268.661277</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>821247fffffffff</th>\n",
-       "      <td>256.314794</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>821d97fffffffff</th>\n",
-       "      <td>277.408885</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>...</th>\n",
-       "      <td>...</td>\n",
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-       "    <tr>\n",
-       "      <th>82379ffffffffff</th>\n",
-       "      <td>289.964278</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>822777fffffffff</th>\n",
-       "      <td>257.991575</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>8244cffffffffff</th>\n",
-       "      <td>278.451939</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>820ecffffffffff</th>\n",
-       "      <td>257.945778</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>8237b7fffffffff</th>\n",
-       "      <td>286.402415</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>734 rows × 1 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                        air\n",
-       "h3                         \n",
-       "8244affffffffff  291.928844\n",
-       "82506ffffffffff  292.308513\n",
-       "821227fffffffff  268.661277\n",
-       "821247fffffffff  256.314794\n",
-       "821d97fffffffff  277.408885\n",
-       "...                     ...\n",
-       "82379ffffffffff  289.964278\n",
-       "822777fffffffff  257.991575\n",
-       "8244cffffffffff  278.451939\n",
-       "820ecffffffffff  257.945778\n",
-       "8237b7fffffffff  286.402415\n",
-       "\n",
-       "[734 rows x 1 columns]"
-      ]
-     },
-     "execution_count": 70,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "fe = first_entries.set_index(\"h3\", drop=True)\n",
     "fe"
@@ -2597,8 +472,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 73,
-   "id": "6a0dd2d0-ff30-456c-bbc9-59bf2c49a82d",
+   "execution_count": null,
+   "id": "45",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2607,1330 +482,117 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 74,
-   "id": "118828fa-7863-45df-be8d-71dc3f112720",
+   "execution_count": null,
+   "id": "46",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "geopandas.geodataframe.GeoDataFrame"
-      ]
-     },
-     "execution_count": 74,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "type(air_df)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 75,
-   "id": "56da4600-a42d-486a-9c42-2425a427581f",
+   "execution_count": null,
+   "id": "47",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<Axes: >"
-      ]
-     },
-     "execution_count": 75,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "air_df.plot(column=\"air\", cmap=\"viridis\")"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 76,
-   "id": "08d2587a-084d-45d6-8b04-acb7fcfb43e9",
+   "execution_count": null,
+   "id": "48",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "application/javascript": [
-       "(function(root) {\n",
-       "  function now() {\n",
-       "    return new Date();\n",
-       "  }\n",
-       "\n",
-       "  var force = true;\n",
-       "  var py_version = '3.3.1'.replace('rc', '-rc.').replace('.dev', '-dev.');\n",
-       "  var reloading = false;\n",
-       "  var Bokeh = root.Bokeh;\n",
-       "\n",
-       "  if (typeof (root._bokeh_timeout) === \"undefined\" || force) {\n",
-       "    root._bokeh_timeout = Date.now() + 5000;\n",
-       "    root._bokeh_failed_load = false;\n",
-       "  }\n",
-       "\n",
-       "  function run_callbacks() {\n",
-       "    try {\n",
-       "      root._bokeh_onload_callbacks.forEach(function(callback) {\n",
-       "        if (callback != null)\n",
-       "          callback();\n",
-       "      });\n",
-       "    } finally {\n",
-       "      delete root._bokeh_onload_callbacks;\n",
-       "    }\n",
-       "    console.debug(\"Bokeh: all callbacks have finished\");\n",
-       "  }\n",
-       "\n",
-       "  function load_libs(css_urls, js_urls, js_modules, js_exports, callback) {\n",
-       "    if (css_urls == null) css_urls = [];\n",
-       "    if (js_urls == null) js_urls = [];\n",
-       "    if (js_modules == null) js_modules = [];\n",
-       "    if (js_exports == null) js_exports = {};\n",
-       "\n",
-       "    root._bokeh_onload_callbacks.push(callback);\n",
-       "\n",
-       "    if (root._bokeh_is_loading > 0) {\n",
-       "      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n",
-       "      return null;\n",
-       "    }\n",
-       "    if (js_urls.length === 0 && js_modules.length === 0 && Object.keys(js_exports).length === 0) {\n",
-       "      run_callbacks();\n",
-       "      return null;\n",
-       "    }\n",
-       "    if (!reloading) {\n",
-       "      console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
-       "    }\n",
-       "\n",
-       "    function on_load() {\n",
-       "      root._bokeh_is_loading--;\n",
-       "      if (root._bokeh_is_loading === 0) {\n",
-       "        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n",
-       "        run_callbacks()\n",
-       "      }\n",
-       "    }\n",
-       "    window._bokeh_on_load = on_load\n",
-       "\n",
-       "    function on_error() {\n",
-       "      console.error(\"failed to load \" + url);\n",
-       "    }\n",
-       "\n",
-       "    var skip = [];\n",
-       "    if (window.requirejs) {\n",
-       "      window.requirejs.config({'packages': {}, 'paths': {'jspanel': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/jspanel', 'jspanel-modal': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/modal/jspanel.modal', 'jspanel-tooltip': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/tooltip/jspanel.tooltip', 'jspanel-hint': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/hint/jspanel.hint', 'jspanel-layout': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/layout/jspanel.layout', 'jspanel-contextmenu': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/contextmenu/jspanel.contextmenu', 'jspanel-dock': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/dock/jspanel.dock', 'gridstack': 'https://cdn.jsdelivr.net/npm/gridstack@7.2.3/dist/gridstack-all', 'notyf': 'https://cdn.jsdelivr.net/npm/notyf@3/notyf.min'}, 'shim': {'jspanel': {'exports': 'jsPanel'}, 'gridstack': {'exports': 'GridStack'}}});\n",
-       "      require([\"jspanel\"], function(jsPanel) {\n",
-       "\twindow.jsPanel = jsPanel\n",
-       "\ton_load()\n",
-       "      })\n",
-       "      require([\"jspanel-modal\"], function() {\n",
-       "\ton_load()\n",
-       "      })\n",
-       "      require([\"jspanel-tooltip\"], function() {\n",
-       "\ton_load()\n",
-       "      })\n",
-       "      require([\"jspanel-hint\"], function() {\n",
-       "\ton_load()\n",
-       "      })\n",
-       "      require([\"jspanel-layout\"], function() {\n",
-       "\ton_load()\n",
-       "      })\n",
-       "      require([\"jspanel-contextmenu\"], function() {\n",
-       "\ton_load()\n",
-       "      })\n",
-       "      require([\"jspanel-dock\"], function() {\n",
-       "\ton_load()\n",
-       "      })\n",
-       "      require([\"gridstack\"], function(GridStack) {\n",
-       "\twindow.GridStack = GridStack\n",
-       "\ton_load()\n",
-       "      })\n",
-       "      require([\"notyf\"], function() {\n",
-       "\ton_load()\n",
-       "      })\n",
-       "      root._bokeh_is_loading = css_urls.length + 9;\n",
-       "    } else {\n",
-       "      root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length + Object.keys(js_exports).length;\n",
-       "    }\n",
-       "\n",
-       "    var existing_stylesheets = []\n",
-       "    var links = document.getElementsByTagName('link')\n",
-       "    for (var i = 0; i < links.length; i++) {\n",
-       "      var link = links[i]\n",
-       "      if (link.href != null) {\n",
-       "\texisting_stylesheets.push(link.href)\n",
-       "      }\n",
-       "    }\n",
-       "    for (var i = 0; i < css_urls.length; i++) {\n",
-       "      var url = css_urls[i];\n",
-       "      if (existing_stylesheets.indexOf(url) !== -1) {\n",
-       "\ton_load()\n",
-       "\tcontinue;\n",
-       "      }\n",
-       "      const element = document.createElement(\"link\");\n",
-       "      element.onload = on_load;\n",
-       "      element.onerror = on_error;\n",
-       "      element.rel = \"stylesheet\";\n",
-       "      element.type = \"text/css\";\n",
-       "      element.href = url;\n",
-       "      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n",
-       "      document.body.appendChild(element);\n",
-       "    }    if (((window['jsPanel'] !== undefined) && (!(window['jsPanel'] instanceof HTMLElement))) || window.requirejs) {\n",
-       "      var urls = ['https://cdn.holoviz.org/panel/1.3.2/dist/bundled/floatpanel/jspanel4@4.12.0/dist/jspanel.js', 'https://cdn.holoviz.org/panel/1.3.2/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/modal/jspanel.modal.js', 'https://cdn.holoviz.org/panel/1.3.2/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/tooltip/jspanel.tooltip.js', 'https://cdn.holoviz.org/panel/1.3.2/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/hint/jspanel.hint.js', 'https://cdn.holoviz.org/panel/1.3.2/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/layout/jspanel.layout.js', 'https://cdn.holoviz.org/panel/1.3.2/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/contextmenu/jspanel.contextmenu.js', 'https://cdn.holoviz.org/panel/1.3.2/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/dock/jspanel.dock.js'];\n",
-       "      for (var i = 0; i < urls.length; i++) {\n",
-       "        skip.push(urls[i])\n",
-       "      }\n",
-       "    }    if (((window['GridStack'] !== undefined) && (!(window['GridStack'] instanceof HTMLElement))) || window.requirejs) {\n",
-       "      var urls = ['https://cdn.holoviz.org/panel/1.3.2/dist/bundled/gridstack/gridstack@7.2.3/dist/gridstack-all.js'];\n",
-       "      for (var i = 0; i < urls.length; i++) {\n",
-       "        skip.push(urls[i])\n",
-       "      }\n",
-       "    }    if (((window['Notyf'] !== undefined) && (!(window['Notyf'] instanceof HTMLElement))) || window.requirejs) {\n",
-       "      var urls = ['https://cdn.holoviz.org/panel/1.3.2/dist/bundled/notificationarea/notyf@3/notyf.min.js'];\n",
-       "      for (var i = 0; i < urls.length; i++) {\n",
-       "        skip.push(urls[i])\n",
-       "      }\n",
-       "    }    var existing_scripts = []\n",
-       "    var scripts = document.getElementsByTagName('script')\n",
-       "    for (var i = 0; i < scripts.length; i++) {\n",
-       "      var script = scripts[i]\n",
-       "      if (script.src != null) {\n",
-       "\texisting_scripts.push(script.src)\n",
-       "      }\n",
-       "    }\n",
-       "    for (var i = 0; i < js_urls.length; i++) {\n",
-       "      var url = js_urls[i];\n",
-       "      if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n",
-       "\tif (!window.requirejs) {\n",
-       "\t  on_load();\n",
-       "\t}\n",
-       "\tcontinue;\n",
-       "      }\n",
-       "      var element = document.createElement('script');\n",
-       "      element.onload = on_load;\n",
-       "      element.onerror = on_error;\n",
-       "      element.async = false;\n",
-       "      element.src = url;\n",
-       "      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
-       "      document.head.appendChild(element);\n",
-       "    }\n",
-       "    for (var i = 0; i < js_modules.length; i++) {\n",
-       "      var url = js_modules[i];\n",
-       "      if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n",
-       "\tif (!window.requirejs) {\n",
-       "\t  on_load();\n",
-       "\t}\n",
-       "\tcontinue;\n",
-       "      }\n",
-       "      var element = document.createElement('script');\n",
-       "      element.onload = on_load;\n",
-       "      element.onerror = on_error;\n",
-       "      element.async = false;\n",
-       "      element.src = url;\n",
-       "      element.type = \"module\";\n",
-       "      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
-       "      document.head.appendChild(element);\n",
-       "    }\n",
-       "    for (const name in js_exports) {\n",
-       "      var url = js_exports[name];\n",
-       "      if (skip.indexOf(url) >= 0 || root[name] != null) {\n",
-       "\tif (!window.requirejs) {\n",
-       "\t  on_load();\n",
-       "\t}\n",
-       "\tcontinue;\n",
-       "      }\n",
-       "      var element = document.createElement('script');\n",
-       "      element.onerror = on_error;\n",
-       "      element.async = false;\n",
-       "      element.type = \"module\";\n",
-       "      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
-       "      element.textContent = `\n",
-       "      import ${name} from \"${url}\"\n",
-       "      window.${name} = ${name}\n",
-       "      window._bokeh_on_load()\n",
-       "      `\n",
-       "      document.head.appendChild(element);\n",
-       "    }\n",
-       "    if (!js_urls.length && !js_modules.length) {\n",
-       "      on_load()\n",
-       "    }\n",
-       "  };\n",
-       "\n",
-       "  function inject_raw_css(css) {\n",
-       "    const element = document.createElement(\"style\");\n",
-       "    element.appendChild(document.createTextNode(css));\n",
-       "    document.body.appendChild(element);\n",
-       "  }\n",
-       "\n",
-       "  var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.3.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.3.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.3.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.3.1.min.js\", \"https://cdn.holoviz.org/panel/1.3.2/dist/panel.min.js\", \"https://cdn.jsdelivr.net/npm/@holoviz/geoviews@1.11.0/dist/geoviews.min.js\"];\n",
-       "  var js_modules = [];\n",
-       "  var js_exports = {};\n",
-       "  var css_urls = [];\n",
-       "  var inline_js = [    function(Bokeh) {\n",
-       "      Bokeh.set_log_level(\"info\");\n",
-       "    },\n",
-       "function(Bokeh) {} // ensure no trailing comma for IE\n",
-       "  ];\n",
-       "\n",
-       "  function run_inline_js() {\n",
-       "    if ((root.Bokeh !== undefined) || (force === true)) {\n",
-       "      for (var i = 0; i < inline_js.length; i++) {\n",
-       "\ttry {\n",
-       "          inline_js[i].call(root, root.Bokeh);\n",
-       "\t} catch(e) {\n",
-       "\t  if (!reloading) {\n",
-       "\t    throw e;\n",
-       "\t  }\n",
-       "\t}\n",
-       "      }\n",
-       "      // Cache old bokeh versions\n",
-       "      if (Bokeh != undefined && !reloading) {\n",
-       "\tvar NewBokeh = root.Bokeh;\n",
-       "\tif (Bokeh.versions === undefined) {\n",
-       "\t  Bokeh.versions = new Map();\n",
-       "\t}\n",
-       "\tif (NewBokeh.version !== Bokeh.version) {\n",
-       "\t  Bokeh.versions.set(NewBokeh.version, NewBokeh)\n",
-       "\t}\n",
-       "\troot.Bokeh = Bokeh;\n",
-       "      }} else if (Date.now() < root._bokeh_timeout) {\n",
-       "      setTimeout(run_inline_js, 100);\n",
-       "    } else if (!root._bokeh_failed_load) {\n",
-       "      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
-       "      root._bokeh_failed_load = true;\n",
-       "    }\n",
-       "    root._bokeh_is_initializing = false\n",
-       "  }\n",
-       "\n",
-       "  function load_or_wait() {\n",
-       "    // Implement a backoff loop that tries to ensure we do not load multiple\n",
-       "    // versions of Bokeh and its dependencies at the same time.\n",
-       "    // In recent versions we use the root._bokeh_is_initializing flag\n",
-       "    // to determine whether there is an ongoing attempt to initialize\n",
-       "    // bokeh, however for backward compatibility we also try to ensure\n",
-       "    // that we do not start loading a newer (Panel>=1.0 and Bokeh>3) version\n",
-       "    // before older versions are fully initialized.\n",
-       "    if (root._bokeh_is_initializing && Date.now() > root._bokeh_timeout) {\n",
-       "      root._bokeh_is_initializing = false;\n",
-       "      root._bokeh_onload_callbacks = undefined;\n",
-       "      console.log(\"Bokeh: BokehJS was loaded multiple times but one version failed to initialize.\");\n",
-       "      load_or_wait();\n",
-       "    } else if (root._bokeh_is_initializing || (typeof root._bokeh_is_initializing === \"undefined\" && root._bokeh_onload_callbacks !== undefined)) {\n",
-       "      setTimeout(load_or_wait, 100);\n",
-       "    } else {\n",
-       "      root._bokeh_is_initializing = true\n",
-       "      root._bokeh_onload_callbacks = []\n",
-       "      var bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n",
-       "      if (!reloading && !bokeh_loaded) {\n",
-       "\troot.Bokeh = undefined;\n",
-       "      }\n",
-       "      load_libs(css_urls, js_urls, js_modules, js_exports, function() {\n",
-       "\tconsole.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n",
-       "\trun_inline_js();\n",
-       "      });\n",
-       "    }\n",
-       "  }\n",
-       "  // Give older versions of the autoload script a head-start to ensure\n",
-       "  // they initialize before we start loading newer version.\n",
-       "  setTimeout(load_or_wait, 100)\n",
-       "}(window));"
-      ],
-      "application/vnd.holoviews_load.v0+json": "(function(root) {\n  function now() {\n    return new Date();\n  }\n\n  var force = true;\n  var py_version = '3.3.1'.replace('rc', '-rc.').replace('.dev', '-dev.');\n  var reloading = false;\n  var Bokeh = root.Bokeh;\n\n  if (typeof (root._bokeh_timeout) === \"undefined\" || force) {\n    root._bokeh_timeout = Date.now() + 5000;\n    root._bokeh_failed_load = false;\n  }\n\n  function run_callbacks() {\n    try {\n      root._bokeh_onload_callbacks.forEach(function(callback) {\n        if (callback != null)\n          callback();\n      });\n    } finally {\n      delete root._bokeh_onload_callbacks;\n    }\n    console.debug(\"Bokeh: all callbacks have finished\");\n  }\n\n  function load_libs(css_urls, js_urls, js_modules, js_exports, callback) {\n    if (css_urls == null) css_urls = [];\n    if (js_urls == null) js_urls = [];\n    if (js_modules == null) js_modules = [];\n    if (js_exports == null) js_exports = {};\n\n    root._bokeh_onload_callbacks.push(callback);\n\n    if (root._bokeh_is_loading > 0) {\n      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n      return null;\n    }\n    if (js_urls.length === 0 && js_modules.length === 0 && Object.keys(js_exports).length === 0) {\n      run_callbacks();\n      return null;\n    }\n    if (!reloading) {\n      console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n    }\n\n    function on_load() {\n      root._bokeh_is_loading--;\n      if (root._bokeh_is_loading === 0) {\n        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n        run_callbacks()\n      }\n    }\n    window._bokeh_on_load = on_load\n\n    function on_error() {\n      console.error(\"failed to load \" + url);\n    }\n\n    var skip = [];\n    if (window.requirejs) {\n      window.requirejs.config({'packages': {}, 'paths': {'jspanel': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/jspanel', 'jspanel-modal': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/modal/jspanel.modal', 'jspanel-tooltip': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/tooltip/jspanel.tooltip', 'jspanel-hint': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/hint/jspanel.hint', 'jspanel-layout': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/layout/jspanel.layout', 'jspanel-contextmenu': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/contextmenu/jspanel.contextmenu', 'jspanel-dock': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/dock/jspanel.dock', 'gridstack': 'https://cdn.jsdelivr.net/npm/gridstack@7.2.3/dist/gridstack-all', 'notyf': 'https://cdn.jsdelivr.net/npm/notyf@3/notyf.min'}, 'shim': {'jspanel': {'exports': 'jsPanel'}, 'gridstack': {'exports': 'GridStack'}}});\n      require([\"jspanel\"], function(jsPanel) {\n\twindow.jsPanel = jsPanel\n\ton_load()\n      })\n      require([\"jspanel-modal\"], function() {\n\ton_load()\n      })\n      require([\"jspanel-tooltip\"], function() {\n\ton_load()\n      })\n      require([\"jspanel-hint\"], function() {\n\ton_load()\n      })\n      require([\"jspanel-layout\"], function() {\n\ton_load()\n      })\n      require([\"jspanel-contextmenu\"], function() {\n\ton_load()\n      })\n      require([\"jspanel-dock\"], function() {\n\ton_load()\n      })\n      require([\"gridstack\"], function(GridStack) {\n\twindow.GridStack = GridStack\n\ton_load()\n      })\n      require([\"notyf\"], function() {\n\ton_load()\n      })\n      root._bokeh_is_loading = css_urls.length + 9;\n    } else {\n      root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length + Object.keys(js_exports).length;\n    }\n\n    var existing_stylesheets = []\n    var links = document.getElementsByTagName('link')\n    for (var i = 0; i < links.length; i++) {\n      var link = links[i]\n      if (link.href != null) {\n\texisting_stylesheets.push(link.href)\n      }\n    }\n    for (var i = 0; i < css_urls.length; i++) {\n      var url = css_urls[i];\n      if (existing_stylesheets.indexOf(url) !== -1) {\n\ton_load()\n\tcontinue;\n      }\n      const element = document.createElement(\"link\");\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.rel = \"stylesheet\";\n      element.type = \"text/css\";\n      element.href = url;\n      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n      document.body.appendChild(element);\n    }    if (((window['jsPanel'] !== undefined) && (!(window['jsPanel'] instanceof HTMLElement))) || window.requirejs) {\n      var urls = ['https://cdn.holoviz.org/panel/1.3.2/dist/bundled/floatpanel/jspanel4@4.12.0/dist/jspanel.js', 'https://cdn.holoviz.org/panel/1.3.2/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/modal/jspanel.modal.js', 'https://cdn.holoviz.org/panel/1.3.2/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/tooltip/jspanel.tooltip.js', 'https://cdn.holoviz.org/panel/1.3.2/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/hint/jspanel.hint.js', 'https://cdn.holoviz.org/panel/1.3.2/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/layout/jspanel.layout.js', 'https://cdn.holoviz.org/panel/1.3.2/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/contextmenu/jspanel.contextmenu.js', 'https://cdn.holoviz.org/panel/1.3.2/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/dock/jspanel.dock.js'];\n      for (var i = 0; i < urls.length; i++) {\n        skip.push(urls[i])\n      }\n    }    if (((window['GridStack'] !== undefined) && (!(window['GridStack'] instanceof HTMLElement))) || window.requirejs) {\n      var urls = ['https://cdn.holoviz.org/panel/1.3.2/dist/bundled/gridstack/gridstack@7.2.3/dist/gridstack-all.js'];\n      for (var i = 0; i < urls.length; i++) {\n        skip.push(urls[i])\n      }\n    }    if (((window['Notyf'] !== undefined) && (!(window['Notyf'] instanceof HTMLElement))) || window.requirejs) {\n      var urls = ['https://cdn.holoviz.org/panel/1.3.2/dist/bundled/notificationarea/notyf@3/notyf.min.js'];\n      for (var i = 0; i < urls.length; i++) {\n        skip.push(urls[i])\n      }\n    }    var existing_scripts = []\n    var scripts = document.getElementsByTagName('script')\n    for (var i = 0; i < scripts.length; i++) {\n      var script = scripts[i]\n      if (script.src != null) {\n\texisting_scripts.push(script.src)\n      }\n    }\n    for (var i = 0; i < js_urls.length; i++) {\n      var url = js_urls[i];\n      if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n\tif (!window.requirejs) {\n\t  on_load();\n\t}\n\tcontinue;\n      }\n      var element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.async = false;\n      element.src = url;\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n    for (var i = 0; i < js_modules.length; i++) {\n      var url = js_modules[i];\n      if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n\tif (!window.requirejs) {\n\t  on_load();\n\t}\n\tcontinue;\n      }\n      var element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.async = false;\n      element.src = url;\n      element.type = \"module\";\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n    for (const name in js_exports) {\n      var url = js_exports[name];\n      if (skip.indexOf(url) >= 0 || root[name] != null) {\n\tif (!window.requirejs) {\n\t  on_load();\n\t}\n\tcontinue;\n      }\n      var element = document.createElement('script');\n      element.onerror = on_error;\n      element.async = false;\n      element.type = \"module\";\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      element.textContent = `\n      import ${name} from \"${url}\"\n      window.${name} = ${name}\n      window._bokeh_on_load()\n      `\n      document.head.appendChild(element);\n    }\n    if (!js_urls.length && !js_modules.length) {\n      on_load()\n    }\n  };\n\n  function inject_raw_css(css) {\n    const element = document.createElement(\"style\");\n    element.appendChild(document.createTextNode(css));\n    document.body.appendChild(element);\n  }\n\n  var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.3.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.3.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.3.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.3.1.min.js\", \"https://cdn.holoviz.org/panel/1.3.2/dist/panel.min.js\", \"https://cdn.jsdelivr.net/npm/@holoviz/geoviews@1.11.0/dist/geoviews.min.js\"];\n  var js_modules = [];\n  var js_exports = {};\n  var css_urls = [];\n  var inline_js = [    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\nfunction(Bokeh) {} // ensure no trailing comma for IE\n  ];\n\n  function run_inline_js() {\n    if ((root.Bokeh !== undefined) || (force === true)) {\n      for (var i = 0; i < inline_js.length; i++) {\n\ttry {\n          inline_js[i].call(root, root.Bokeh);\n\t} catch(e) {\n\t  if (!reloading) {\n\t    throw e;\n\t  }\n\t}\n      }\n      // Cache old bokeh versions\n      if (Bokeh != undefined && !reloading) {\n\tvar NewBokeh = root.Bokeh;\n\tif (Bokeh.versions === undefined) {\n\t  Bokeh.versions = new Map();\n\t}\n\tif (NewBokeh.version !== Bokeh.version) {\n\t  Bokeh.versions.set(NewBokeh.version, NewBokeh)\n\t}\n\troot.Bokeh = Bokeh;\n      }} else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(run_inline_js, 100);\n    } else if (!root._bokeh_failed_load) {\n      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n      root._bokeh_failed_load = true;\n    }\n    root._bokeh_is_initializing = false\n  }\n\n  function load_or_wait() {\n    // Implement a backoff loop that tries to ensure we do not load multiple\n    // versions of Bokeh and its dependencies at the same time.\n    // In recent versions we use the root._bokeh_is_initializing flag\n    // to determine whether there is an ongoing attempt to initialize\n    // bokeh, however for backward compatibility we also try to ensure\n    // that we do not start loading a newer (Panel>=1.0 and Bokeh>3) version\n    // before older versions are fully initialized.\n    if (root._bokeh_is_initializing && Date.now() > root._bokeh_timeout) {\n      root._bokeh_is_initializing = false;\n      root._bokeh_onload_callbacks = undefined;\n      console.log(\"Bokeh: BokehJS was loaded multiple times but one version failed to initialize.\");\n      load_or_wait();\n    } else if (root._bokeh_is_initializing || (typeof root._bokeh_is_initializing === \"undefined\" && root._bokeh_onload_callbacks !== undefined)) {\n      setTimeout(load_or_wait, 100);\n    } else {\n      root._bokeh_is_initializing = true\n      root._bokeh_onload_callbacks = []\n      var bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n      if (!reloading && !bokeh_loaded) {\n\troot.Bokeh = undefined;\n      }\n      load_libs(css_urls, js_urls, js_modules, js_exports, function() {\n\tconsole.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n\trun_inline_js();\n      });\n    }\n  }\n  // Give older versions of the autoload script a head-start to ensure\n  // they initialize before we start loading newer version.\n  setTimeout(load_or_wait, 100)\n}(window));"
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-       "if ((window.PyViz === undefined) || (window.PyViz instanceof HTMLElement)) {\n",
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-       "        var comm = {\n",
-       "          send: sendClosure\n",
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-       "      }\n",
-       "      window.PyViz.comms[comm_id] = comm;\n",
-       "      return comm;\n",
-       "    }\n",
-       "    window.PyViz.comm_manager = new JupyterCommManager();\n",
-       "    \n",
-       "\n",
-       "\n",
-       "var JS_MIME_TYPE = 'application/javascript';\n",
-       "var HTML_MIME_TYPE = 'text/html';\n",
-       "var EXEC_MIME_TYPE = 'application/vnd.holoviews_exec.v0+json';\n",
-       "var CLASS_NAME = 'output';\n",
-       "\n",
-       "/**\n",
-       " * Render data to the DOM node\n",
-       " */\n",
-       "function render(props, node) {\n",
-       "  var div = document.createElement(\"div\");\n",
-       "  var script = document.createElement(\"script\");\n",
-       "  node.appendChild(div);\n",
-       "  node.appendChild(script);\n",
-       "}\n",
-       "\n",
-       "/**\n",
-       " * Handle when a new output is added\n",
-       " */\n",
-       "function handle_add_output(event, handle) {\n",
-       "  var output_area = handle.output_area;\n",
-       "  var output = handle.output;\n",
-       "  if ((output.data == undefined) || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n",
-       "    return\n",
-       "  }\n",
-       "  var id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n",
-       "  var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n",
-       "  if (id !== undefined) {\n",
-       "    var nchildren = toinsert.length;\n",
-       "    var html_node = toinsert[nchildren-1].children[0];\n",
-       "    html_node.innerHTML = output.data[HTML_MIME_TYPE];\n",
-       "    var scripts = [];\n",
-       "    var nodelist = html_node.querySelectorAll(\"script\");\n",
-       "    for (var i in nodelist) {\n",
-       "      if (nodelist.hasOwnProperty(i)) {\n",
-       "        scripts.push(nodelist[i])\n",
-       "      }\n",
-       "    }\n",
-       "\n",
-       "    scripts.forEach( function (oldScript) {\n",
-       "      var newScript = document.createElement(\"script\");\n",
-       "      var attrs = [];\n",
-       "      var nodemap = oldScript.attributes;\n",
-       "      for (var j in nodemap) {\n",
-       "        if (nodemap.hasOwnProperty(j)) {\n",
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-       "      toinsert[nchildren-1].children[1].textContent = output.data[JS_MIME_TYPE];\n",
-       "    }\n",
-       "    output_area._hv_plot_id = id;\n",
-       "    if ((window.Bokeh !== undefined) && (id in Bokeh.index)) {\n",
-       "      window.PyViz.plot_index[id] = Bokeh.index[id];\n",
-       "    } else {\n",
-       "      window.PyViz.plot_index[id] = null;\n",
-       "    }\n",
-       "  } else if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n",
-       "    var bk_div = document.createElement(\"div\");\n",
-       "    bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n",
-       "    var script_attrs = bk_div.children[0].attributes;\n",
-       "    for (var i = 0; i < script_attrs.length; i++) {\n",
-       "      toinsert[toinsert.length - 1].childNodes[1].setAttribute(script_attrs[i].name, script_attrs[i].value);\n",
-       "    }\n",
-       "    // store reference to server id on output_area\n",
-       "    output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n",
-       "  }\n",
-       "}\n",
-       "\n",
-       "/**\n",
-       " * Handle when an output is cleared or removed\n",
-       " */\n",
-       "function handle_clear_output(event, handle) {\n",
-       "  var id = handle.cell.output_area._hv_plot_id;\n",
-       "  var server_id = handle.cell.output_area._bokeh_server_id;\n",
-       "  if (((id === undefined) || !(id in PyViz.plot_index)) && (server_id !== undefined)) { return; }\n",
-       "  var comm = window.PyViz.comm_manager.get_client_comm(\"hv-extension-comm\", \"hv-extension-comm\", function () {});\n",
-       "  if (server_id !== null) {\n",
-       "    comm.send({event_type: 'server_delete', 'id': server_id});\n",
-       "    return;\n",
-       "  } else if (comm !== null) {\n",
-       "    comm.send({event_type: 'delete', 'id': id});\n",
-       "  }\n",
-       "  delete PyViz.plot_index[id];\n",
-       "  if ((window.Bokeh !== undefined) & (id in window.Bokeh.index)) {\n",
-       "    var doc = window.Bokeh.index[id].model.document\n",
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-       "    const i = window.Bokeh.documents.indexOf(doc);\n",
-       "    if (i > -1) {\n",
-       "      window.Bokeh.documents.splice(i, 1);\n",
-       "    }\n",
-       "  }\n",
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-       "\n",
-       "/**\n",
-       " * Handle kernel restart event\n",
-       " */\n",
-       "function handle_kernel_cleanup(event, handle) {\n",
-       "  delete PyViz.comms[\"hv-extension-comm\"];\n",
-       "  window.PyViz.plot_index = {}\n",
-       "}\n",
-       "\n",
-       "/**\n",
-       " * Handle update_display_data messages\n",
-       " */\n",
-       "function handle_update_output(event, handle) {\n",
-       "  handle_clear_output(event, {cell: {output_area: handle.output_area}})\n",
-       "  handle_add_output(event, handle)\n",
-       "}\n",
-       "\n",
-       "function register_renderer(events, OutputArea) {\n",
-       "  function append_mime(data, metadata, element) {\n",
-       "    // create a DOM node to render to\n",
-       "    var toinsert = this.create_output_subarea(\n",
-       "    metadata,\n",
-       "    CLASS_NAME,\n",
-       "    EXEC_MIME_TYPE\n",
-       "    );\n",
-       "    this.keyboard_manager.register_events(toinsert);\n",
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-       "    element.append(toinsert);\n",
-       "    return toinsert\n",
-       "  }\n",
-       "\n",
-       "  events.on('output_added.OutputArea', handle_add_output);\n",
-       "  events.on('output_updated.OutputArea', handle_update_output);\n",
-       "  events.on('clear_output.CodeCell', handle_clear_output);\n",
-       "  events.on('delete.Cell', handle_clear_output);\n",
-       "  events.on('kernel_ready.Kernel', handle_kernel_cleanup);\n",
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-       "  OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n",
-       "    safe: true,\n",
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-       "if (window.Jupyter !== undefined) {\n",
-       "  try {\n",
-       "    var events = require('base/js/events');\n",
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-       "      register_renderer(events, OutputArea);\n",
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-       "  } catch(err) {\n",
-       "  }\n",
-       "}\n"
-      ],
-      "application/vnd.holoviews_load.v0+json": "\nif ((window.PyViz === undefined) || (window.PyViz instanceof HTMLElement)) {\n  window.PyViz = {comms: {}, comm_status:{}, kernels:{}, receivers: {}, plot_index: []}\n}\n\n\n    function JupyterCommManager() {\n    }\n\n    JupyterCommManager.prototype.register_target = function(plot_id, comm_id, msg_handler) {\n      if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n        var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n        comm_manager.register_target(comm_id, function(comm) {\n          comm.on_msg(msg_handler);\n        });\n      } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n        window.PyViz.kernels[plot_id].registerCommTarget(comm_id, function(comm) {\n          comm.onMsg = msg_handler;\n        });\n      } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n        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-     "metadata": {},
-     "output_type": "display_data"
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-    {
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-       "<style>*[data-root-id],\n",
-       "*[data-root-id] > * {\n",
-       "  box-sizing: border-box;\n",
-       "  font-family: var(--jp-ui-font-family);\n",
-       "  font-size: var(--jp-ui-font-size1);\n",
-       "  color: var(--vscode-editor-foreground, var(--jp-ui-font-color1));\n",
-       "}\n",
-       "\n",
-       "/* Override VSCode background color */\n",
-       ".cell-output-ipywidget-background:has(\n",
-       "    > .cell-output-ipywidget-background > .lm-Widget > *[data-root-id]\n",
-       "  ),\n",
-       ".cell-output-ipywidget-background:has(> .lm-Widget > *[data-root-id]) {\n",
-       "  background-color: transparent !important;\n",
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-       "5nK5CQAQMtXznCRJePpEbwOAZhzHX4ix/wHzzC/tu64gcwAAAABJRU5ErkJggg=='\n",
-       "       style='height:15px; border-radius:12px; display: inline-block; float: left'></img>\n",
-       "  \n",
-       "\n",
-       "\n",
-       "</div>\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "import geoviews as gv\n",
     "import geoviews.feature as gf\n",
-    "from geoviews import opts, tile_sources as gvts\n",
-    "\n",
-    "\n",
     "import matplotlib.pyplot as plt\n",
+    "from geoviews import opts\n",
+    "from geoviews import tile_sources as gvts\n",
+    "\n",
     "%matplotlib inline\n",
     "\n",
-    "gv.extension('matplotlib')\n",
+    "gv.extension(\"matplotlib\")\n",
     "\n",
-    "gv.output(fig='png', size=300)"
+    "gv.output(fig=\"png\", size=300)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 77,
-   "id": "2edba153-183a-4ff5-aac6-1699e055ab00",
+   "execution_count": null,
+   "id": "49",
    "metadata": {},
    "outputs": [],
    "source": [
-    "\n",
-    "earth_polyview = gv.Polygons(\n",
-    "    air_df, vdims=['air']\n",
-    ").opts( projection=ccrs.Orthographic(-90, 30) )\n",
-    "\n",
+    "earth_polyview = gv.Polygons(air_df, vdims=[\"air\"]).opts(\n",
+    "    projection=ccrs.Orthographic(-90, 30)\n",
+    ")\n",
     "\n",
     "\n",
     "# test geoviews orthographic view\n",
-    "img = earth_polyview.opts(\n",
-    "    projection=ccrs.Orthographic(-90, 30), global_extent=False, edgecolor='None',\n",
-    "    xaxis=None, yaxis=None, show_grid=True,\n",
-    "    show_frame=True, colorbar=True, fig_size=300, color='air', cmap='viridis' ) * gf.coastline"
+    "img = (\n",
+    "    earth_polyview.opts(\n",
+    "        projection=ccrs.Orthographic(-90, 30),\n",
+    "        global_extent=False,\n",
+    "        edgecolor=\"None\",\n",
+    "        xaxis=None,\n",
+    "        yaxis=None,\n",
+    "        show_grid=True,\n",
+    "        show_frame=True,\n",
+    "        colorbar=True,\n",
+    "        fig_size=300,\n",
+    "        color=\"air\",\n",
+    "        cmap=\"viridis\",\n",
+    "    )\n",
+    "    * gf.coastline\n",
+    ")"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 78,
-   "id": "41909039-f7d3-4bcc-aa25-ff8c36f4f202",
+   "execution_count": null,
+   "id": "50",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
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' style='max-width:100%; margin: auto; display: block; '/>"
-      ],
-      "text/plain": [
-       ":Overlay\n",
-       "   .Polygons.I  :Polygons   [Longitude,Latitude]   (air)\n",
-       "   .Coastline.I :Feature   [Longitude,Latitude]"
-      ]
-     },
-     "execution_count": 78,
-     "metadata": {
-      "application/vnd.holoviews_exec.v0+json": {}
-     },
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "img"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 79,
-   "id": "1e3d4067-6474-4e67-baa3-f4348e036c58",
+   "execution_count": null,
+   "id": "51",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "holoviews.core.overlay.Overlay"
-      ]
-     },
-     "execution_count": 79,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "type(img)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 80,
-   "id": "f4e13eae-2c01-406b-8e5f-b5398b8755e2",
+   "execution_count": null,
+   "id": "52",
    "metadata": {},
    "outputs": [],
    "source": [
-    "gv.save(img, 'xagg_h3_air.png')"
+    "gv.save(img, \"xagg_h3_air.png\")"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 105,
-   "id": "308dbeba-6ad2-49ae-9847-2f0b4b9fe64b",
+   "execution_count": null,
+   "id": "53",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
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-       "  margin-top: 0;\n",
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-       "\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.DataArray &#x27;lon&#x27; ()&gt;\n",
-       "array(-30., dtype=float32)</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'>'lon'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-9068cf42-4556-4b6c-b00c-15b89c4524fb' class='xr-array-in' type='checkbox' checked><label for='section-9068cf42-4556-4b6c-b00c-15b89c4524fb' 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>-30.0</span></div><div class='xr-array-data'><pre>array(-30., dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-e8a37561-4bd6-4823-ac7a-6e36db2a845d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e8a37561-4bd6-4823-ac7a-6e36db2a845d' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-537830f9-3fde-401c-a23a-71ae3dfffbb4' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-537830f9-3fde-401c-a23a-71ae3dfffbb4' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-ff91b841-8bc7-46fc-acfb-fb72f69c47e7' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ff91b841-8bc7-46fc-acfb-fb72f69c47e7' 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.DataArray 'lon' ()>\n",
-       "array(-30., dtype=float32)"
-      ]
-     },
-     "execution_count": 105,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "ds.lon.max().compute()"
    ]
   }
  ],
  "metadata": {
-  "kernelspec": {
-   "display_name": "xa_dggs",
-   "language": "python",
-   "name": "xa_dggs"
-  },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",

From 4e655dbbfd5d4a0406e7dfd8467ebb652acd0427 Mon Sep 17 00:00:00 2001
From: Justus Magin <keewis@users.noreply.github.com>
Date: Thu, 19 Jun 2025 15:37:19 +0200
Subject: [PATCH 3/6] example for opening, downscaling and visualizing a
 high-res model (#7)

* basic project configuration

* ignore the pixi cache

* configure pixi

* pixi lock file

* more deps

* lockfile

* define the downscaling / visualization example
---
 .gitattributes            |    2 +
 .gitignore                |    4 +
 pixi.lock                 | 7310 +++++++++++++++++++++++++++++++++++++
 pyproject.toml            |   55 +
 visualisation/nicam.ipynb |  245 ++
 5 files changed, 7616 insertions(+)
 create mode 100644 .gitattributes
 create mode 100644 pixi.lock
 create mode 100644 visualisation/nicam.ipynb

diff --git a/.gitattributes b/.gitattributes
new file mode 100644
index 0000000..887a2c1
--- /dev/null
+++ b/.gitattributes
@@ -0,0 +1,2 @@
+# SCM syntax highlighting & preventing 3-way merges
+pixi.lock merge=binary linguist-language=YAML linguist-generated=true
diff --git a/.gitignore b/.gitignore
index 68bc17f..5c95427 100644
--- a/.gitignore
+++ b/.gitignore
@@ -158,3 +158,7 @@ cython_debug/
 #  and can be added to the global gitignore or merged into this file.  For a more nuclear
 #  option (not recommended) you can uncomment the following to ignore the entire idea folder.
 #.idea/
+
+# pixi environments
+.pixi
+*.egg-info
diff --git a/pixi.lock b/pixi.lock
new file mode 100644
index 0000000..c6e7093
--- /dev/null
+++ b/pixi.lock
@@ -0,0 +1,7310 @@
+version: 6
+environments:
+  default:
+    channels:
+    - url: https://conda.anaconda.org/conda-forge/
+    indexes:
+    - https://pypi.org/simple
+    packages:
+      linux-64:
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/_libgcc_mutex-0.1-conda_forge.tar.bz2
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/_openmp_mutex-4.5-2_gnu.tar.bz2
+      - conda: https://conda.anaconda.org/conda-forge/noarch/aiohappyeyeballs-2.6.1-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/aiohttp-3.12.13-py313h8060acc_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/aiosignal-1.3.2-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/alsa-lib-1.2.14-hb9d3cd8_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/anyio-4.9.0-pyh29332c3_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/anywidget-0.9.18-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/argon2-cffi-25.1.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/argon2-cffi-bindings-21.2.0-py313h536fd9c_5.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/arro3-compute-0.5.1-py313hf6ad064_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/arro3-core-0.5.1-py313hcad0283_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/arro3-io-0.5.1-py313haa6bfb1_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/arrow-1.3.0-pyhd8ed1ab_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/astropy-base-7.1.0-py313h607aa3e_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/astropy-iers-data-0.2025.6.9.0.39.3-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/asttokens-3.0.0-pyhd8ed1ab_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/async-lru-2.0.5-pyh29332c3_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/attrs-25.3.0-pyh71513ae_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/aws-c-auth-0.9.0-hbfa7f16_15.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/aws-c-cal-0.9.2-h5e3027f_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/aws-c-common-0.12.3-hb9d3cd8_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/aws-c-compression-0.3.1-hafb2847_5.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/aws-c-event-stream-0.5.4-h76f0014_12.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/aws-c-http-0.10.2-h015de20_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/aws-c-io-0.20.1-hdfce8c9_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/aws-c-mqtt-0.13.1-h1e5e6c0_3.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/aws-c-s3-0.8.1-h5e174a9_3.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/aws-c-sdkutils-0.2.4-hafb2847_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/aws-checksums-0.2.7-hafb2847_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/aws-crt-cpp-0.32.8-ha15c642_6.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/aws-sdk-cpp-1.11.510-h4607db7_10.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/azure-core-cpp-1.14.0-h5cfcd09_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/azure-identity-cpp-1.10.0-h113e628_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/azure-storage-blobs-cpp-12.13.0-h3cf044e_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/azure-storage-common-cpp-12.8.0-h736e048_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/azure-storage-files-datalake-cpp-12.12.0-ha633028_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/babel-2.17.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/beautifulsoup4-4.13.4-pyha770c72_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/black-25.1.0-pyh866005b_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/bleach-6.2.0-pyh29332c3_4.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/bleach-with-css-6.2.0-h82add2a_4.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/blosc-1.21.6-he440d0b_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/bokeh-3.7.3-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/branca-0.8.1-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/brotli-1.1.0-hb9d3cd8_3.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/brotli-bin-1.1.0-hb9d3cd8_3.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/brotli-python-1.1.0-py313h46c70d0_3.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/bzip2-1.0.8-h4bc722e_7.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/c-ares-1.34.5-hb9d3cd8_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/ca-certificates-2025.6.15-hbd8a1cb_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/cached-property-1.5.2-hd8ed1ab_1.tar.bz2
+      - conda: https://conda.anaconda.org/conda-forge/noarch/cached_property-1.5.2-pyha770c72_1.tar.bz2
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/cairo-1.18.4-h3394656_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/cdshealpix-0.7.1-py313h920b4c0_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/certifi-2025.6.15-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/cffi-1.17.1-py313hfab6e84_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/charset-normalizer-3.4.2-pyhd8ed1ab_0.conda
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diff --git a/pyproject.toml b/pyproject.toml
index 095f82d..6a63d2e 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,3 +1,9 @@
+[project]
+name = "xdggs-examples"
+description = "Real-world examples using xdggs."
+dynamic = ["version"]
+dependencies = ["healpix-geo>=0.0.4"]
+
 [tool.ruff]
 target-version = "py310"
 builtins = ["ellipsis"]
@@ -37,3 +43,52 @@ fixable = ["I", "TID252"]
 [tool.ruff.lint.flake8-tidy-imports]
 # Disallow all relative imports.
 ban-relative-imports = "all"
+
+[tool.pixi.workspace]
+name = "xdggs-examples"
+channels = ["conda-forge"]
+platforms = ["linux-64"]
+
+[tool.pixi.pypi-dependencies]
+xdggs-examples = { path = ".", editable = true }
+
+[tool.pixi.tasks]
+
+[tool.pixi.feature.nicam.dependencies]
+zarr = "*"
+intake = "<2"
+intake-xarray = "<2"
+pooch = "*"
+
+[tool.pixi.dependencies]
+jupyterlab = ">=4.4"
+dask-labextension = ">=7"
+ipywidgets = "*"
+jupyter-resource-usage = "*"
+jupyterlab_code_formatter = "*"
+black = "*"
+isort = "*"
+ruff = "*"
+dask = ">=2025.5.1"
+distributed = ">=2025.5.1"
+xarray = ">=2025.6.1"
+matplotlib = ">=3.10"
+numpy = ">=2.3.0"
+pandas = ">=2.3.0"
+geopandas = ">=1.1.0"
+arro3-core = ">=0.4.0"
+shapely = ">=2.1"
+pyproj = "*"
+lonboard = "*"
+h3ronpy = "*"
+cdshealpix = "*"
+flox = "*"
+
+[tool.pixi.environments]
+nicam = ["nicam"]
+
+[tool.pixi.system-requirements]
+libc = { family = "glibc", version = "2.34" }
+
+[dependency-groups]
+nicam = ["xdggs @ git+https://github.com/keewis/xdggs.git@test"]
diff --git a/visualisation/nicam.ipynb b/visualisation/nicam.ipynb
new file mode 100644
index 0000000..dc03ed2
--- /dev/null
+++ b/visualisation/nicam.ipynb
@@ -0,0 +1,245 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from distributed import Client\n",
+    "\n",
+    "client = Client()\n",
+    "client"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "1",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import dask.array as da\n",
+    "import intake\n",
+    "import numpy as np\n",
+    "import xarray as xr\n",
+    "import xdggs  # noqa: F401"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "cat = intake.open_catalog(\n",
+    "    \"https://digital-earths-global-hackathon.github.io/catalog/catalog.yaml\"\n",
+    ")[\"online\"]\n",
+    "cat"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "level = 15\n",
+    "ds = (\n",
+    "    cat.nicam_220m_test(zoom=level, chunks={\"cell\": \"auto\"})\n",
+    "    .to_dask()\n",
+    "    .squeeze()\n",
+    "    .assign(windspeed=lambda ds: np.hypot(ds[\"ss_u10m\"], ds[\"ss_v10m\"]))\n",
+    ")\n",
+    "ds"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "decoded = ds.assign_coords(\n",
+    "    {\n",
+    "        \"cell_ids\": (\n",
+    "            \"cell\",\n",
+    "            da.arange(\n",
+    "                12 * 4**level, dtype=\"uint64\", chunks=ds[\"windspeed\"].data.chunks[0][0]\n",
+    "            ),\n",
+    "        )\n",
+    "    }\n",
+    ").dggs.decode(\n",
+    "    {\"grid_name\": \"healpix\", \"level\": level, \"indexing_scheme\": \"nested\"},\n",
+    "    index_kind=\"moc\",\n",
+    ")\n",
+    "decoded"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5",
+   "metadata": {},
+   "source": [
+    "manually subset the dataset, based on a bounding box:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "box = [125.8, 29, 151, 55]\n",
+    "polygon = np.array(\n",
+    "    [\n",
+    "        [box[0], box[1]],\n",
+    "        [box[2], box[1]],\n",
+    "        [box[2], box[3]],\n",
+    "        [box[0], box[3]],\n",
+    "    ]\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "7",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import cdshealpix\n",
+    "from astropy.coordinates import Latitude, Longitude"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "8",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "lon = Longitude(polygon[:, 0], unit=\"degree\")\n",
+    "lat = Latitude(polygon[:, 1], unit=\"degree\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "9",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "cell_ids, _, _ = cdshealpix.nested.polygon_search(\n",
+    "    lon, lat, depth=decoded.dggs.grid_info.level, flat=True\n",
+    ")\n",
+    "cell_ids"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "10",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "slice_ = slice(cell_ids.min().item(), cell_ids.max().item())\n",
+    "slice_"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "11",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "subset = decoded.isel(cell=slice_)\n",
+    "subset"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "12",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "parents = subset.dggs.zoom_to(level=12)\n",
+    "parents"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "13",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "parents_ = parents.chunk(subset.chunksizes)\n",
+    "parents_"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "14",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "grid_info = subset.dggs.grid_info.to_dict() | {\"level\": 12}\n",
+    "downsampled = (\n",
+    "    subset.assign_coords(parents=parents_)\n",
+    "    .drop_indexes(\"cell_ids\")\n",
+    "    .groupby(parents=xr.groupers.UniqueGrouper(labels=np.unique(parents)))\n",
+    "    .mean()\n",
+    "    .rename_vars({\"parents\": \"cell_ids\"})\n",
+    "    .rename_dims({\"parents\": \"cells\"})\n",
+    "    .dggs.decode(grid_info)\n",
+    ")\n",
+    "downsampled"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "15",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "computed = downsampled[\"windspeed\"].compute()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "16",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "computed.dggs.explore(alpha=0.8)"
+   ]
+  }
+ ],
+ "metadata": {
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.11"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

From a8d52ad5ef9d42871b2239184b2f78cf5f6c532b Mon Sep 17 00:00:00 2001
From: "pre-commit-ci[bot]"
 <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Date: Tue, 12 Aug 2025 12:01:11 +0200
Subject: [PATCH 4/6] [pre-commit.ci] pre-commit autoupdate (#9)
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

* [pre-commit.ci] pre-commit autoupdate

updates:
- [github.com/rbubley/mirrors-prettier: v3.5.3 → v3.6.2](https://github.com/rbubley/mirrors-prettier/compare/v3.5.3...v3.6.2)
- [github.com/astral-sh/ruff-pre-commit: v0.12.0 → v0.12.7](https://github.com/astral-sh/ruff-pre-commit/compare/v0.12.0...v0.12.7)
- [github.com/keewis/blackdoc: v0.4.0 → v0.4.1](https://github.com/keewis/blackdoc/compare/v0.4.0...v0.4.1)

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

---------

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
---
 .pre-commit-config.yaml |     6 +-
 pixi.lock               | 14594 +++++++++++++++++++-------------------
 2 files changed, 7300 insertions(+), 7300 deletions(-)

diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index 927d87d..d773373 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -6,7 +6,7 @@ repos:
       - id: end-of-file-fixer
       - id: check-docstring-first
   - repo: https://github.com/rbubley/mirrors-prettier
-    rev: v3.5.3
+    rev: v3.6.2
     hooks:
       - id: prettier
         args: [--cache-location=.prettier_cache/cache]
@@ -22,7 +22,7 @@ repos:
     hooks:
       - id: validate-pyproject
   - repo: https://github.com/astral-sh/ruff-pre-commit
-    rev: v0.12.0
+    rev: v0.12.7
     hooks:
       - id: ruff-check
         args: [--fix]
@@ -31,7 +31,7 @@ repos:
     hooks:
       - id: black-jupyter
   - repo: https://github.com/keewis/blackdoc
-    rev: v0.4.0
+    rev: v0.4.1
     hooks:
       - id: blackdoc
         additional_dependencies: ["black==25.1.0"]
diff --git a/pixi.lock b/pixi.lock
index c6e7093..127a67b 100644
--- a/pixi.lock
+++ b/pixi.lock
@@ -2,7309 +2,7309 @@ version: 6
 environments:
   default:
     channels:
-    - url: https://conda.anaconda.org/conda-forge/
+      - url: https://conda.anaconda.org/conda-forge/
     indexes:
-    - https://pypi.org/simple
+      - https://pypi.org/simple
     packages:
       linux-64:
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/_libgcc_mutex-0.1-conda_forge.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/_openmp_mutex-4.5-2_gnu.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/aiohappyeyeballs-2.6.1-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/aiohttp-3.12.13-py313h8060acc_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/aiosignal-1.3.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/alsa-lib-1.2.14-hb9d3cd8_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/anyio-4.9.0-pyh29332c3_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/anywidget-0.9.18-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/argon2-cffi-25.1.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/argon2-cffi-bindings-21.2.0-py313h536fd9c_5.conda
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From b248d4114c1128be18129c6eb53193116a320aed Mon Sep 17 00:00:00 2001
From: Justus Magin <keewis@users.noreply.github.com>
Date: Tue, 12 Aug 2025 12:01:49 +0200
Subject: [PATCH 5/6] commentary on the nicam notebook (#8)

* notebook commentary

* install instructions

* fix the github install url

* commentary on workarounds for limitations of the MOC index

* assign center coordinates for use with plotting
---
 visualisation/nicam.ipynb | 180 ++++++++++++++++++++++++++++++++++----
 1 file changed, 161 insertions(+), 19 deletions(-)

diff --git a/visualisation/nicam.ipynb b/visualisation/nicam.ipynb
index dc03ed2..db35f51 100644
--- a/visualisation/nicam.ipynb
+++ b/visualisation/nicam.ipynb
@@ -1,9 +1,41 @@
 {
  "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "0",
+   "metadata": {},
+   "source": [
+    "# NICAM model"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1",
+   "metadata": {},
+   "source": [
+    "## setup\n",
+    "\n",
+    "All the dependencies are set up for use with [`pixi`](https://pixi.sh/latest/). You can thus use\n",
+    "```sh\n",
+    "pixi run -e nicam jupyter lab\n",
+    "```\n",
+    "from the project directory to run a local jupyterhub with all the dependencies.\n",
+    "\n",
+    "On a jupyterhub instance, use\n",
+    "```sh\n",
+    "pixi workspace export -e nicam env.yml\n",
+    "conda env update -n <env> -f env.yml\n",
+    "```\n",
+    "or\n",
+    "```sh\n",
+    "pip install \"xdggs @ git+https://github.com/keewis/xdggs.git@test\n",
+    "```"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "0",
+   "id": "2",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -13,10 +45,18 @@
     "client"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "3",
+   "metadata": {},
+   "source": [
+    "imports"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "1",
+   "id": "4",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -27,10 +67,26 @@
     "import xdggs  # noqa: F401"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "5",
+   "metadata": {},
+   "source": [
+    "## open the data"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6",
+   "metadata": {},
+   "source": [
+    "open the hackathon intake catalog"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "2",
+   "id": "7",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -40,10 +96,18 @@
     "cat"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "8",
+   "metadata": {},
+   "source": [
+    "open the model at the highest level, and derive the total wind speed from the wind vector"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "3",
+   "id": "9",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -57,10 +121,18 @@
     "ds"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "10",
+   "metadata": {},
+   "source": [
+    "construct a (lazy) cell ids coordinate and create a lazy xdggs index (a healpix `\"moc\"` index, which is based on a multi-order coverage map instead of the standard eager pandas index)"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "4",
+   "id": "11",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -82,16 +154,25 @@
   },
   {
    "cell_type": "markdown",
-   "id": "5",
+   "id": "12",
    "metadata": {},
    "source": [
-    "manually subset the dataset, based on a bounding box:"
+    "Manually subset the dataset, based on a bounding box:\n",
+    "\n",
+    "```{note}\n",
+    "\n",
+    "The healpix `\"moc\"` index does not support selecting with arrays, yet, only by a single slice. As such, we need to:\n",
+    "\n",
+    "1. determine the initial slice for a coarse selection\n",
+    "2. replace the moc index with a pandas index\n",
+    "3. compute the exact subset\n",
+    "```"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "6",
+   "id": "13",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -109,7 +190,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "7",
+   "id": "14",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -120,7 +201,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "8",
+   "id": "15",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -131,7 +212,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "9",
+   "id": "16",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -141,10 +222,18 @@
     "cell_ids"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "17",
+   "metadata": {},
+   "source": [
+    "convert to a slice, as the moc index does not support subsetting by an array right now:"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "10",
+   "id": "18",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -155,7 +244,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "11",
+   "id": "19",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -163,10 +252,30 @@
     "subset"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "20",
+   "metadata": {},
+   "source": [
+    "## downscale\n",
+    "\n",
+    "For plotting with `explore`, we need to downscale the data to something we can keep in-memory."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "21",
+   "metadata": {},
+   "source": [
+    "compute (chunked) parent cells\n",
+    "\n",
+    "The extra call to `chunk` can be dropped once `xdggs` supports dask."
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "12",
+   "id": "22",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -177,7 +286,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "13",
+   "id": "23",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -185,10 +294,18 @@
     "parents_"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "24",
+   "metadata": {},
+   "source": [
+    "Aggregate using a `groupby`-`mean` operation by parent cell ids"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "14",
+   "id": "25",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -205,20 +322,45 @@
     "downsampled"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "26",
+   "metadata": {},
+   "source": [
+    "## visualization"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "27",
+   "metadata": {},
+   "source": [
+    "load the downscaled data into memory"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "15",
+   "id": "28",
    "metadata": {},
    "outputs": [],
    "source": [
-    "computed = downsampled[\"windspeed\"].compute()"
+    "computed = downsampled[\"windspeed\"].compute().assign_latlon_coords()\n",
+    "computed"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "29",
+   "metadata": {},
+   "source": [
+    "visualize using `explore`"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "16",
+   "id": "30",
    "metadata": {},
    "outputs": [],
    "source": [

From 3474bc01d830e9889eba912683f08755701a49df Mon Sep 17 00:00:00 2001
From: Alexander Kmoch <alexander.kmoch@ut.ee>
Date: Fri, 29 Aug 2025 21:42:24 +0300
Subject: [PATCH 6/6] regridding with xarray-xagg

---
 .gitignore                 |   1 +
 regridding/wm/wm.cpg       |   1 +
 regridding/wm/wm.dbf       | Bin 0 -> 8874 bytes
 regridding/wm/wm.h5        | Bin 0 -> 1436344 bytes
 regridding/wm/wm.prj       |   1 +
 regridding/wm/wm.shp       | Bin 0 -> 123380 bytes
 regridding/wm/wm.shx       | Bin 0 -> 5972 bytes
 regridding/wm/wm_lat.nc    | Bin 0 -> 25293 bytes
 regridding/wm/wm_lon.nc    | Bin 0 -> 25115 bytes
 regridding/xagg_h3_air.png | Bin 0 -> 189282 bytes
 10 files changed, 3 insertions(+)
 create mode 100644 regridding/wm/wm.cpg
 create mode 100644 regridding/wm/wm.dbf
 create mode 100644 regridding/wm/wm.h5
 create mode 100644 regridding/wm/wm.prj
 create mode 100644 regridding/wm/wm.shp
 create mode 100644 regridding/wm/wm.shx
 create mode 100644 regridding/wm/wm_lat.nc
 create mode 100644 regridding/wm/wm_lon.nc
 create mode 100644 regridding/xagg_h3_air.png

diff --git a/.gitignore b/.gitignore
index 5c95427..6a9ceb7 100644
--- a/.gitignore
+++ b/.gitignore
@@ -162,3 +162,4 @@ cython_debug/
 # pixi environments
 .pixi
 *.egg-info
+.DS_Store
diff --git a/regridding/wm/wm.cpg b/regridding/wm/wm.cpg
new file mode 100644
index 0000000..cd89cb9
--- /dev/null
+++ b/regridding/wm/wm.cpg
@@ -0,0 +1 @@
+ISO-8859-1
\ No newline at end of file
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diff --git a/regridding/wm/wm.h5 b/regridding/wm/wm.h5
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diff --git a/regridding/wm/wm.prj b/regridding/wm/wm.prj
new file mode 100644
index 0000000..f45cbad
--- /dev/null
+++ b/regridding/wm/wm.prj
@@ -0,0 +1 @@
+GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]]
\ No newline at end of file
diff --git a/regridding/wm/wm.shp b/regridding/wm/wm.shp
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