Demonstrate the loading of a data cube of OS-Climate Hazard simulations for Chronic Heat (Degree Days)

osc-hazard-data-cube-zarr-visualization.ipynb

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   "source": [
    "# Demonstrate the loading of a data cube of OS-Climate Hazard simulations for Chronic Heat (Degree Days)"
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   "source": [
    "#!pip install xarray zarr dask s3fs matplotlib"
   ]
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   "id": "482145f3-c393-4ec0-82ae-5f75946e4b54",
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   "source": [
    "import xarray as xr"
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   "source": [
    "### Load a single time slice of hazard model output containing a suite of CMIP6 models (GCMs) and SSPs"
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 62MB\n",
       "Dimensions:      (temperature: 1, gcm: 6, scenario: 3, time: 1, latitude: 600,\n",
       "                  longitude: 1440)\n",
       "Coordinates:\n",
       "  * gcm          (gcm) &lt;U13 312B &#x27;ACCESS-CM2&#x27; &#x27;CMCC-ESM2&#x27; ... &#x27;NorESM2-MM&#x27;\n",
       "  * latitude     (latitude) float64 5kB 89.88 89.62 89.38 ... -59.62 -59.88\n",
       "  * longitude    (longitude) float64 12kB -179.9 -179.6 -179.4 ... 179.6 179.9\n",
       "  * scenario     (scenario) &lt;U6 72B &#x27;ssp126&#x27; &#x27;ssp245&#x27; &#x27;ssp585&#x27;\n",
       "  * temperature  (temperature) float64 8B 28.0\n",
       "  * time         (time) datetime64[ns] 8B 2030-01-01\n",
       "Data variables:\n",
       "    degree_days  (temperature, gcm, scenario, time, latitude, longitude) float32 62MB ...</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-ebad4755-8c4e-4e82-ae4c-425a943ffd18' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ebad4755-8c4e-4e82-ae4c-425a943ffd18' 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'>temperature</span>: 1</li><li><span class='xr-has-index'>gcm</span>: 6</li><li><span class='xr-has-index'>scenario</span>: 3</li><li><span class='xr-has-index'>time</span>: 1</li><li><span class='xr-has-index'>latitude</span>: 600</li><li><span class='xr-has-index'>longitude</span>: 1440</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-3643eb24-df67-4885-ab17-6f687f15b11c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3643eb24-df67-4885-ab17-6f687f15b11c' class='xr-section-summary' >Coordinates: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>gcm</span></div><div class='xr-var-dims'>(gcm)</div><div class='xr-var-dtype'>&lt;U13</div><div class='xr-var-preview xr-preview'>&#x27;ACCESS-CM2&#x27; ... &#x27;NorESM2-MM&#x27;</div><input id='attrs-ad6625d4-d301-4eb5-abb0-cfe242115356' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ad6625d4-d301-4eb5-abb0-cfe242115356' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-228c0dd2-a698-4ff7-9f8d-11c85d3846df' class='xr-var-data-in' type='checkbox'><label for='data-228c0dd2-a698-4ff7-9f8d-11c85d3846df' 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>Name of general circulation model</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;ACCESS-CM2&#x27;, &#x27;CMCC-ESM2&#x27;, &#x27;CNRM-CM6-1&#x27;, &#x27;MIROC6&#x27;, &#x27;MPI-ESM1-2-LR&#x27;,\n",
       "       &#x27;NorESM2-MM&#x27;], dtype=&#x27;&lt;U13&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>89.88 89.62 89.38 ... -59.62 -59.88</div><input id='attrs-804aba60-8566-48ac-b46d-56792468ac50' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-804aba60-8566-48ac-b46d-56792468ac50' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e53a5817-0b06-4933-9b25-bcbdd06f0d7d' class='xr-var-data-in' type='checkbox'><label for='data-e53a5817-0b06-4933-9b25-bcbdd06f0d7d' 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([ 89.875,  89.625,  89.375, ..., -59.375, -59.625, -59.875], shape=(600,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-179.9 -179.6 ... 179.6 179.9</div><input id='attrs-bd978fbf-2ad4-4002-b366-0e75d68b4ec8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-bd978fbf-2ad4-4002-b366-0e75d68b4ec8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-443ed66a-707b-4c30-b195-db081087f6ed' class='xr-var-data-in' type='checkbox'><label for='data-443ed66a-707b-4c30-b195-db081087f6ed' 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([-179.875, -179.625, -179.375, ...,  179.375,  179.625,  179.875],\n",
       "      shape=(1440,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>scenario</span></div><div class='xr-var-dims'>(scenario)</div><div class='xr-var-dtype'>&lt;U6</div><div class='xr-var-preview xr-preview'>&#x27;ssp126&#x27; &#x27;ssp245&#x27; &#x27;ssp585&#x27;</div><input id='attrs-a856e901-4efb-4681-9c7a-3e84c7aba183' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a856e901-4efb-4681-9c7a-3e84c7aba183' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a6fd48f1-a88a-43e2-af2f-98a33080746d' class='xr-var-data-in' type='checkbox'><label for='data-a6fd48f1-a88a-43e2-af2f-98a33080746d' 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>Name of climate scenario</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;ssp126&#x27;, &#x27;ssp245&#x27;, &#x27;ssp585&#x27;], dtype=&#x27;&lt;U6&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>temperature</span></div><div class='xr-var-dims'>(temperature)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>28.0</div><input id='attrs-23539547-0009-4824-8a1e-d2cc67be4826' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-23539547-0009-4824-8a1e-d2cc67be4826' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f36dc422-a046-41c5-9f8c-16c7a756264d' class='xr-var-data-in' type='checkbox'><label for='data-f36dc422-a046-41c5-9f8c-16c7a756264d' 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>Threshold temperature</dd><dt><span>units :</span></dt><dd>Degrees Celsius</dd></dl></div><div class='xr-var-data'><pre>array([28.])</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'>2030-01-01</div><input id='attrs-d6a37eb4-da9d-499f-bf8c-05a14e186fba' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d6a37eb4-da9d-499f-bf8c-05a14e186fba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4ff33d1b-baff-478d-8117-e45bb563046e' class='xr-var-data-in' type='checkbox'><label for='data-4ff33d1b-baff-478d-8117-e45bb563046e' 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>Central predicted year</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2030-01-01T00:00:00.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-cd09ee3d-a31c-45f6-b060-0d6ee0e76d28' class='xr-section-summary-in' type='checkbox'  checked><label for='section-cd09ee3d-a31c-45f6-b060-0d6ee0e76d28' 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>degree_days</span></div><div class='xr-var-dims'>(temperature, gcm, scenario, time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-33d66a1e-0843-4fcc-a473-0a542a96527e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-33d66a1e-0843-4fcc-a473-0a542a96527e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ebd6719c-2112-4237-9b5c-76836c25ac73' class='xr-var-data-in' type='checkbox'><label for='data-ebd6719c-2112-4237-9b5c-76836c25ac73' 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>Time integral of absolute difference in temperature of the medium over a reference temperature</dd><dt><span>units :</span></dt><dd>Days per year</dd></dl></div><div class='xr-var-data'><pre>[15552000 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1b01324b-2531-4092-8561-ac965e8be7f4' class='xr-section-summary-in' type='checkbox'  ><label for='section-1b01324b-2531-4092-8561-ac965e8be7f4' class='xr-section-summary' >Indexes: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>gcm</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-40c04886-b917-4340-b803-3414ce7c74e5' class='xr-index-data-in' type='checkbox'/><label for='index-40c04886-b917-4340-b803-3414ce7c74e5' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;ACCESS-CM2&#x27;, &#x27;CMCC-ESM2&#x27;, &#x27;CNRM-CM6-1&#x27;, &#x27;MIROC6&#x27;, &#x27;MPI-ESM1-2-LR&#x27;,\n",
       "       &#x27;NorESM2-MM&#x27;],\n",
       "      dtype=&#x27;object&#x27;, name=&#x27;gcm&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>latitude</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-d25d0f78-6e32-41a7-874c-989c3ede76b6' class='xr-index-data-in' type='checkbox'/><label for='index-d25d0f78-6e32-41a7-874c-989c3ede76b6' 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([ 89.875,  89.625,  89.375,  89.125,  88.875,  88.625,  88.375,  88.125,\n",
       "        87.875,  87.625,\n",
       "       ...\n",
       "       -57.625, -57.875, -58.125, -58.375, -58.625, -58.875, -59.125, -59.375,\n",
       "       -59.625, -59.875],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;latitude&#x27;, length=600))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>longitude</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-a76b94da-d020-4e03-b81d-c35054a98d40' class='xr-index-data-in' type='checkbox'/><label for='index-a76b94da-d020-4e03-b81d-c35054a98d40' 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([-179.875, -179.625, -179.375, -179.125, -178.875, -178.625, -178.375,\n",
       "       -178.125, -177.875, -177.625,\n",
       "       ...\n",
       "        177.625,  177.875,  178.125,  178.375,  178.625,  178.875,  179.125,\n",
       "        179.375,  179.625,  179.875],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;longitude&#x27;, length=1440))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>scenario</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-eb230451-1c05-4649-acfc-6ab726dc5061' class='xr-index-data-in' type='checkbox'/><label for='index-eb230451-1c05-4649-acfc-6ab726dc5061' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;ssp126&#x27;, &#x27;ssp245&#x27;, &#x27;ssp585&#x27;], dtype=&#x27;object&#x27;, name=&#x27;scenario&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>temperature</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-e0ef47b9-f870-40c3-a74c-5ab0a6b21318' class='xr-index-data-in' type='checkbox'/><label for='index-e0ef47b9-f870-40c3-a74c-5ab0a6b21318' 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([28.0], dtype=&#x27;float64&#x27;, name=&#x27;temperature&#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><input type='checkbox' disabled/><label></label><input id='index-821031a3-cefa-4484-8f2b-68678f34ce37' class='xr-index-data-in' type='checkbox'/><label for='index-821031a3-cefa-4484-8f2b-68678f34ce37' 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;2030-01-01&#x27;], dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-348a07ec-7826-41b8-b016-50a62cbe6383' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-348a07ec-7826-41b8-b016-50a62cbe6383' 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> Size: 62MB\n",
       "Dimensions:      (temperature: 1, gcm: 6, scenario: 3, time: 1, latitude: 600,\n",
       "                  longitude: 1440)\n",
       "Coordinates:\n",
       "  * gcm          (gcm) <U13 312B 'ACCESS-CM2' 'CMCC-ESM2' ... 'NorESM2-MM'\n",
       "  * latitude     (latitude) float64 5kB 89.88 89.62 89.38 ... -59.62 -59.88\n",
       "  * longitude    (longitude) float64 12kB -179.9 -179.6 -179.4 ... 179.6 179.9\n",
       "  * scenario     (scenario) <U6 72B 'ssp126' 'ssp245' 'ssp585'\n",
       "  * temperature  (temperature) float64 8B 28.0\n",
       "  * time         (time) datetime64[ns] 8B 2030-01-01\n",
       "Data variables:\n",
       "    degree_days  (temperature, gcm, scenario, time, latitude, longitude) float32 62MB ..."
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds = xr.open_dataset(\n",
    "    \"s3://ukri-eodh-hazard-indicators-public/cmip6-dd-28/cubified/degree_days_2030.zarr\",\n",
    "    engine=\"zarr\"\n",
    ")\n",
    "ds"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e5706f24-8f71-4b43-ba15-4e8e57100c97",
   "metadata": {},
   "source": [
    "### Plot a particular GCM and scenario"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "636ee7cc-e3c6-4039-ac65-e1847f860bb1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x10cfe1690>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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AkJPPfvazPOhCLQMefPBBJgv1gAELihPm3Z4AucCdNSYMRLANAdnDnXEYWH9cvDEhfwy/FaQHAzByw6AGKiA/Bhf48O+FIjReYLCGUgg7CSiozdwIgKRi4If6BWVxMkB+DywyoCBB1UKOF/KTkIcHEt0MVK4SlDcoxlFEVcVmchP//e9/M9FEPiZIN0g29h18D3G81VM+tidwTjXjKwgSFCZC1db3X//6Fys7UIJgMQKbEhBk7AdsIxBO5EaB5OL96667jrcFbjrCx2I11FObx5OTCcIJOyDc8IR9F9V1A0QdN3HRfarIDgjTVJE7HGdYLs7JaojeMEz1NXUq1qnacYobKJB7XEtwowXyiesxVFd4hTbKr663v2sdqzvqfNHQ2G3IHU5kXNCUehVG9DXcPePEROhsRyesQoFo9u4MA0y9EO9vfvMbJnZQt6IJ1Rh8QDBw54nkeZW8DKWvEbmD6ofBDMnwWN/oHfX2wBFHHMHkDh509YA7dqhJaj6ES/H7ohdHvIb5ECpEMvR4iirU5zH4wbcKamEjgISBbGLQDSdbTwYIoWHCfrz11ltZGQLhhGrWzDGMedS5MVVqMYgMzjOQCqjFCiB3EwUGWhxzOGarGfdCqWl0DCI8unr16obfBRWmkREvvg+DOiYM6lC/kTqA81FtR5gCQwXDpMgWbqQ+/OEPB8qzUpDC5zuuRdhvjTwaawGfxTGPgolf/vKXY26E1PrjmEDYGOsWvkFcv359VXLTDGoRFRxnUDJxfO4IcoJtgFCtUusAZcCututUrBNunKFMoxgtTISrpTPU2ja4BgFIjwhHTJo5VjU0tjd2i2pZDN648CIXSV3A1MUUeV1hQMnBBRD5XNG7r+1t0Kly7pqZGuXcgaiB7EApQvglPCFXDAqFunNFjgsqzBByqlY9jEEAnwkPgtgWqMas1g0CBsDjNehFWAPhjWpQ+0iF5qDgIfQUxR133MG5RGo+/H7sdzWp0BjIAlQ0dO7AY7X9iu2H5VUDLtaoNMR2aFRhDKUHeT5Qs7C9q+VpjQdQZB3HqXgNJA/LVWHQZo5h5O5AHQU5qVZ53ayCHD3PsG3CygOU0mrH1HiWidAmCHI4XLlp0yZWA0G06+XbAdjuzZxTjXInq1VxK/Kstj2OvzBAnqDsYrtHt3OU6H/ta1/jR+QBTwTI2YOSCKUQhLIWQDqxj8LnKG4EsZ2wruG85GYBQgtEO+CgohXfhVSEKHAc1+uYM1GEq36x3fEcCjII+VStk7ohDF87EIqtdiODbVNtmeoGC9cIBVzXmr124pqJG5xw3iCA1xBaDwPP8bqGxrRS7gDckSN0ggH+ggsu4JMbJz3CFsgPCocdcSeOEx8qFi6SUCFwp4uLHhSu7YWpyrkDgcUdJMJ11YDfg8EdicUgKbjw/ehHP+JBFL8XSh4uhLgoQV1A4jXUMIQ5AXRtwMCEsn+EJcIdKqBm4W4WClIYuHuu1roLxREIveJCheUeffTRTDShxuCCCGKAcB8ICworVCgRAxEKZJAEjQEURA1dOLANVWeMeoANAopKEOLEtlIdKmAdge8EsYMiVq9ABFM94A4cYUoQHiwf2zsMJM2HE+eVslAv5wqKKRLEkfcHdQKDEbYHBht0J2j2GAYhgqqLfYfuByCgUGwwCCDkiPNkvNYYCItDzcL+Q+gauUs4TrA+CBNOFDiWQL5A5HDMIWSM7gsgVLC7aISpyrkDWcZAjN+JED9+H4gUQuFKIcY5hOMI34ljG8cltiM+Ey3ggZ0Ljg9sL9zY4PzAdgvfuGG7Kasi3IyCQKhzC/PhXFWWG1gX3Kjh5iV6ruFcUQQMBRO4kUNBB85LKE84hnC8hovLAEQH/vnPfza8scV5COCag2sLjkccU1AP8X045nCdxfbB9QbXFZwPsPQI5/5NFjj/EQ5/wxvewEUXuDHE8YxrglIkp2Kd8Blcd7D9sSzc5CKfFkp4NMKAbYNzDfsN5wLmQfQDy8C2hy0XrkfYZriGqfOwEXCNQsecqOKM1AD8xnBHDNy4NLMfNTQC+LsRbr75ZrZvQFn80qVL/e9+97tsxAqzzChgUIl5YRbZ0dHBpew33XTTGFPJZgx7lcUJbAd2BC6//HL+PvzeWvjhD3/I8/z+97+vKO3/0pe+xMa3sEnAdtprr73YWuCpp54aswzYlMBaZd68eX4sFuPtdOqpp7LZb9iCo579hLIIgC3Id77zHba9wLbFdod1DfYBthssRBQeeOABtiCBkSkMWmFnA7NSGMKO1ywaHTlgeBpeDkxeb7nllqpWKPUQtUJRn2vWegPGwEcffXTd71i5cqV//vnn8/GL4xbrDSPVv/3tb+M+htU6wr4B9idYHpb7xje+kTseRM1hm7Fy+N73vsfHDL4TNjWwdag2Xz1j61omxlhPHJc4LvCbw5YZOwI4n2B1guMd5wYeX/3qV7OpdNiiA/YssBrBNsD2xLGKzikKans88sgj/ste9jK2dMH+ufDCC8eYGCtbjGoT9ksjI2E1hW01VMcXfAbHD9bzOc95TlWbDVjdzJkzp+G2gZk1rhOwKIL9SnR/f/vb3+ZlwdIEv/fAAw/0L774Yra0maprajUTYxh9Y3tXMzyfzDoBMCE/6KCD+LxBF6AvfOELfM5FtzfshbAMfEf4mqeuodj2OJ4WLVrEXUPqmRiHoa4v0XMl+h0Anu9mw7XGTsZu31sWihAUHFU9qKGxM4D8OFR8IhEfKo/G9AVUFhRXIPQ9ESPrHQUo8SjAgCoYtW3ZFYEio1//+tdVU0U0NDSmYc6dQtTrCoQO1U31ChM0NHYEEBpGSE0TO41dBQhBz58/n9761rfu7FXR0NDYwdhtcu5Ugj3u7vCI/BLkQSBvImzyqaGxMwBlZHdQRzRmDnCjoW82NDRmJnYrcofEZdhfIGkeCeZQSlAtWM0HTkNDQ0NDQ0NjJmK3z7nT0NDQ0NDQ0NDYTXPuNDQ0NDQ0NDQ06kOTOw0NDQ0NDQ2NaYTdKuduRwAdAWAiDMPSqegVqaGhoaExPYGsJljOwFx8st1r6gEdSNBpaCqAIsRwGz2N6QlN7iIAsdsR/VY1NDQ0NKYH0KcbnU62F7FbskeWNm4utwWcDNCBBd1VNMGb3tDkLgLVYuh4OpNsiu3s1dHQ0NDQ2EXhUIn+Q38e05puKgHFDsRu9d2LqbVlkr2thzza4/BVvExN7qY3NLmLQIViQexsQ5M7DQ0NDY0akF4TOyKFJ9ti8DQZeKRTjWYKNLnT0NDQ0NDYxeH6Hrn+5JehMTOgyZ2GhoaGhsYuDo98nia7DI2ZAW2FoqGhoaGhoaExjaCVOw0NDQ0NjV0cHv+b/DI0ZgY0udPQ0NDQ0NjF4fo+T5NdhsbMgA7LamhoaGhoaGhMI2jlTkNDQ0NDYxeHLqjQGA80udPQ0NDQ0NjFAWLmanKn0SR0WFZDQ0NDQ0NDYxpBK3caGhoaGhq7OHRYVmM80OROQ0NDQ0NjF4eultUYD3RYVkNDQ0NDQ0NjGkErdxoaGhoaGrs4YD88eRNjjZkCTe40NDQ0NDR2cbhTUC072c9r7D7Q5E5DQ0NDQ2MXh+uLabLL0JgZ0Dl3GhoaGhoaGhrTCFq509DQ0NDQ2MWhc+40pqVy57oufexjH6MlS5ZQKpWipUuX0qc//WnyQ6Xd+PvSSy+luXPn8jzPe97z6Mknn9yp662hoaGhoTFZeGSQO8kJy9CYGdhtyN0XvvAFuuqqq+jrX/86Pfroo/z8sssuo6997WvBPHj+1a9+la6++mq6/fbbKZPJ0Omnn075fH6nrruGhoaGhoaGxo7CbhOWvfXWW+mcc86hs846i58vXryYfvazn9Edd9wRqHZf/vKX6ZJLLuH5gB/96Ec0e/Zs+t3vfkevetWrdur6a2hoaGhoTBSeL6bJLkNjZmC3Ue6OPfZYuvnmm+mJJ57g5/fffz/95z//oTPOOIOfP/PMM7Rx40YOxSq0tbXRc57zHFqxYsVOW28NDQ0NDY3JYrIhWTVpzAzsNsrdhz70IRocHKR9992XLMviHLzPfvaz9NrXvpbfB7EDoNSFgefqvWooFAo8KeA7NDQ0NDQ0NDR2V+w2yt0vf/lLuvbaa+mnP/0p3XPPPXTNNdfQl770JX6cDD73uc+xwqemhQsXTtk6a2hoaGhoTAW0cqcxLcndRRddxOodcucOPPBAOu+88+h//ud/mJwBc+bM4cdNmzZVfA7P1XvV8OEPf5gGBgaCac2aNdv5l2hoaGhoaIwPnm9MyaQxM7DbkLvR0VEyzcrVRXjW84RzDyxSQOKQlxcOsaJq9phjjqm53EQiQa2trRWThoaGhoaGhsbuit0m5+5FL3oR59gtWrSIDjjgALr33nvpiiuuoPPPP5/fNwyD3ve+99FnPvMZ2muvvZjswRdv3rx5dO655+7s1dfQ0NDQ0JgwpiKsqsOyMwe7DbmDnx3I2jvf+U7avHkzk7a3v/3tbFqscPHFF9PIyAi97W1vo/7+fjr++OPphhtuoGQyuVPXXUNDQ0NDYzJwyeRpcsvQmCkw/HCLBw0O5aKw4iQ6h2wjtrNXR0NDQ0NjF4Xjl+gW+j3na2+vlB41Jt384CLKtEyO3I0MeXTqgc9u1/XV2DWw2+TcaWhoaGhoaGhoTKOwrIaGhoaGxkyFzrnTGA80udPQ0NDQ0NjF4fomT5NbxpStjsYuDh2W1dDQ0NDQ0NCYRtDKnYaGhoaGxi4OjwzyJqnHeKSlu5kCrdxpaGhoaGjs4tjZ7cc+//nPB36yCvl8nt71rndRV1cXZbNZeulLXzqmS9Szzz5LZ511FqXTaZo1axZ3m3Icp2KeW265hQ477DBuKrBs2TL64Q9/OOH11BDQ5E5DQ0NDQ0OjJu6880761re+RQcddFDF62gB+sc//pF+9atf0T//+U9av349veQlLwned12XiV2xWKRbb72Ve8GDuIX9aZ955hme5+STT6b77ruPyeNb3vIWuvHGG3fob5xu0OROQ0NDQ0NjNymomOw0XgwPD9NrX/ta+s53vkMdHR3B6/DK+973vsedok455RQ6/PDD6Qc/+AGTuNtuu43n+etf/0qPPPII/eQnP6FDDjmEzjjjDPr0pz9N3/jGN5jwAVdffTV3lLr88stpv/32owsvvJBe9rKX0ZVXXjmFW2/mQZM7DQ0NDQ2N3SLnbvLTeIGwK5S15z3veRWv33333VQqlSpe33fffblF6IoVK/g5Hg888ECaPXt2MM/pp5/OxswPP/xwME902ZhHLUNjYtAFFRoaGhoaGjMIIFdhINcNUxQ///nP6Z577uGwbBQbN26keDxO7e3tFa+DyOE9NU+Y2Kn31Xv15sE65nI5SqVSE/6dMxlaudPQ0NDQ0NjFgUpZd5KTqrZduHAhtzRT0+c+97kx37dmzRp673vfS9dee63uz74bQit3GhoaGhoaM8LE2A+IW7i3bDXVDmHXzZs3cxVr8HnXpX/961/09a9/nQsekDfX399fod6hWnbOnDn8Nx7vuOOOiuWqatrwPNEKWzzH+mnVbuLQyp2GhoaGhsYuDqhuUzEBIE7hqRq5O/XUU+nBBx/kClY1HXHEEVxcof6OxWJ08803B595/PHH2frkmGOO4ed4xDJAEhVuuukm/s79998/mCe8DDWPWobGxKCVOw0NDQ2NqYFhEvnezl+GxqTR0tJCy5cvr3gtk8mwp516/c1vfjO9//3vp87OTiZs7373u5mUHX300fz+aaedxiTuvPPOo8suu4zz6y655BIu0lCE8h3veAcrgRdffDGdf/759Pe//51++ctf0p/+9Ked8KunDzS509DQ0NCYGkwVKdMEbwxc3+BpssuYSsCuxDRNNi8uFApc5frNb34zeN+yLLr++uvpggsuYNIHcviGN7yBPvWpTwXzwAYFRA6eeV/5yldowYIF9N3vfpeXpTFxGL4vg/AaDFToIMH0JDqHbCO2s1dHQ0NDY3oBxG082IVJnuOX6Bb6PXu+hXPYtseY9MN7D6Z0izWpZY0OufTGQ+/fruursWtAK3caGhoaGtuHvEWJmXzPMMsKku9pfUFDY6qhyZ2GhoaGxvZR4sLh1SrErtrzMaRPLX8XVvB2BDzf5Glyy9BEeqZAkzsNDQ0NjYkDpKsawatCxhSRU8QNz8cod7WWN8OhvOomtwxN7mYK9BmkoaGhoTFxTICIgdQZljW+5WnCp6HRNLRyp6GhoaExtZWsdd6HUscKnu+NX7WbwVW03hRUu87MLTczocmdhoaGhkbziOTQje+jkthFCynChG0Sy5/OCJsQT2YZGjMDek9raGhoaNSHIlr1KmEbvV6F5AXFFNWWX6fYYsy6qUlDQ4OhlTsNDQ0NjfpQ4dJmih0ahE4Vsaup3GERMh+vqk1KveVP48raqektqwnwTIEmdxoaGhoaU4cGxCqsxlUleYYpXmumCncGqXUeGTxNdhkaMwOa3GloaGhoNEazFiXVlDX5Wk1FLvyZ8PdUI3KNiiqmoWoHaOVOYzzQ5G46YxqHKDQ0NHYwmlXJql1vwopc6DXfbbCMWqSv1rqEw8caGjMYmtzNBHLWpMGohoaGxs62Smnqc/WuadP02jY1JsZauZsp0ORuV8ZkL1I1+jpqaGhoNI0q1w2VK1e1w8RUXs/qVeRG12uaK3aeb/A02WVozAzo0X5XxlSTsRmaiKyhoTF1UAUR4cfoazvk+iKvZ03ZpWhozDBo5W5Xxfa6C9UGoRoaGhO45jQiUZpkbV/AgHiyYVVtYjxzoMndroho0vD2JHkaGhrT+4ZvPNeRZr3s6ix3XKHayYK/25oRoVnPN3ma7DI0Zgb0nt4VMU0vThoaGrtvjl2jeXYWdhiR1NDYjaCVu+lC8KJ33BP9vIaGxq6LRud39DwOk7Bo67BxELRwT9ia6xRatvCzs8asZ2BOPJWQ3zfdSZ5LBk+TXYbGzIAmd9MJu9DdtIaGxk7ymKtlExIhemGy1qjyleet0ve1XguxauttcARVkL6Gnx0HfNed9jeoOiyrMR7oPT2dMNU+T5osauws6EbwZVTbDrW2T61t1mBb1iuGqPVe1S4Tzeyz7VHl2sjcWENjhkErd9MFUff28RK8Wnf8VUIuGhrbHbvycbYTFSJFiAJiFV2XGudxLVUuCLeie4TrVlXzgu+phSa2Ra3vn/Lii135uJkk0Mxj8mFZjZkCTe6mm+v7JO5cKwYO7YmnobFzW/tVOe9q5r41yKdrhkDVJHahZdYMxY7nGrE9tt00JnUKOiyrMR5ocre7oNmLV7WejE1/hbhoiwt4+SJQcUHX/Wo1diTChUKNjrkowZnqdWjmOydjVzLRm7MmQq5N5dI1+J1ho+Jyjp78zGT8M/W1pCm4vsnTZJehMTOwW+3pdevW0ete9zrq6uqiVCpFBx54IN11113B+77v06WXXkpz587l95/3vOfRk08+STMSE7xgRl3nm66Q09DYXqhV8RlFM1Wi4dei81T7zEQUKbWsZnLQwvM0QdKqdYWI/nZUjkbfb/q8jswfXi8QOjXVRIjoNfNd073CVUNjZ2G3GaG3bdtGxx13HMViMfrLX/5CjzzyCF1++eXU0dERzHPZZZfRV7/6Vbr66qvp9ttvp0wmQ6effjrl8/mduu67ExpevMPQBE9je6Ja79B679XLGa1FoOotZ6qO7yjZa5b4NYBSz6pVstbKb5tKNHudqHlN0dePccEng7xJTliGxszAbhOW/cIXvkALFy6kH/zgB8FrS5YsqVDtvvzlL9Mll1xC55xzDr/2ox/9iGbPnk2/+93v6FWvetVOWe/dDjI0FFgLRAeFKpYKOqyiMeWoN/A3G6qtReQaEbx637mTMEZJk+sSJk0qXBrOl6v1ueiyaxK1pkK+VcLhsDpR2fuh60hl6ocM7eos/6agw7Ia48Fus6f/8Ic/0BFHHEEvf/nLadasWXTooYfSd77zneD9Z555hjZu3MihWIW2tjZ6znOeQytWrKi53EKhQIODgxXTTIQwHa0ycPJFOnT11XfbGuPFZI+ZcE5XdJk76XhsNrw5nmVVe17zO6pUsYeJ05h56xDbmpYmYS+8evYlav9UIZxRYhf9vA7LamhsH+w2I/XKlSvpqquuor322otuvPFGuuCCC+g973kPXXPNNfw+iB0ApS4MPFfvVcPnPvc5JoFqgjo47dFMaKraY7PL09CYLAmLEIaGSt5ORJjojZfs1SJ10fdCL459f7yFGPXCwtXCuxH/zGhVbb3fVG2+Hdp7dhrB840pmTRmBnabsKzneazc/d///R8/h3L30EMPcX7dG97whgkv98Mf/jC9//3vD55DuZv2BC+aeC6bb1e96IbtDyIDbdUq2mrfoTFzEfVfVK81gx1E2qKqUjUFLHycj6sYoQoBmrLcN14XKHZVLErqbLuK87mGJ16w3tFOEnBKC10TxoRVqyj/NdM7NMYFl0yeJrsMjZmB3WZPowJ2//33r3htv/32o2effZb/njNnDj9u2rSpYh48V+9VQyKRoNbW1oppRqFaKKUJNKy+02qexnbC9gqFTuXyq33XpMO4Nc6pMNGKLj+ae1fr+6uuWxUCVpXwVbOgqUPemqq61dDQmBR2mxEYlbKPP/54xWtPPPEE7bHHHkFxBUjczTffXKHCoWr2mGOO2eHru9uhhn1BhaqBO3ZpszD24/JCre/INaYCESLTLEkZu5ixZKcZItdUnluj15tbwbHLGE9lbVQVC83bcJs1UO2qKY5BZa7vVaiFYcJWi7wFr8nPyheb3FAaOiyrMS3J3f/8z//QbbfdxmHZp556in7605/St7/9bXrXu97F7xuGQe973/voM5/5DBdfPPjgg/T617+e5s2bR+eee+7OXv2djyYGoPDFOHzRDhO7ivebyNnR0KhQcyYwmE+E0FUrSmhKXa6Rf1rz87W87ZohZdVyWxuEU8OPY5YVDoVGCFq1c3vM8iIKXPT9iuW5rii0kt9XsX1C+5g/45R4ChdnadVu/PDInJKpWSDH/aCDDgoiWhBJYEOmcNJJJ/G4G57e8Y53VCwDkbWzzjqL0uk0F0JedNFF5DhOxTy33HILHXbYYRxFW7ZsGf3whz+cgq2lsdvk3B155JH029/+lnPkPvWpT7FSB+uT1772tcE8F198MY2MjNDb3vY26u/vp+OPP55uuOEGSiaTO3XddydUzQ+Sg0ZFtZu0OpjqEJaGRhiTKVCoM1P1v6PdXcKkq0lS2rBYYBI3P9WIWq3vaFSdOub90HpVD7m6VW2SooUSoYU0/B1atdu1sWDBAvr85z/PRYywGkPxImzG7r33XjrggAN4nre+9a08HiuAxCm4rsvEDhG1W2+9lTZs2MCCC7xqVe48XC4wD0jhtddey5G3t7zlLZyGBY9ajYnD8LHXNCpCuaiaPYnOIduI0YxGJLwTvSgbttg+FVYpUTTqUasv8DMD4/WJq1YVGsGEChVqhCJrEqYwyatxLNf73qlQqKL+cLWWW60wpNG6RW/ewgQX57UomHAD1T4416t5DVbbx+FtNw2Lrhy/RLfQ72lgYGC75WurMemCf7+EEtnJjUmF4RJd9dzfTHh9Ozs76Ytf/CK9+c1vZuXukEMOYZGlGqDyvfCFL6T169cHLhYogPzgBz9IW7ZsoXg8zn//6U9/4uJIBXjSQpyBMKMxcegYmkYlIuEkdfGP3s3zxT4SkqmZpxRZXsV8jcJXGjMPkT6mEyZ2NUKk1Y7XaNFDkFtaTeWrdizXCMWOWW6DqdZvrbW+wW+v4UNXtXBBedipNIsISQuTvIqcOkns+KYu/H3hkHA1AhcmcVGLG42dknMX9XaF32s9QIX7+c9/zpGxcA471Lbu7m5avnw5R9VGR0eD9+AvixahYXsyqHH4vocffjiYJ+xNq+ap502rMc3CshpTiOgddh1VhQcWq4a6MV5ri4qPaq8rjfERu1pK1GRSA2p+NkKWKlStKutc9bVmzovIfNHzQj2vGWJlxU0QtbDCNvbnVNl2VTwEK0K/0fWSoh3nz0Xmb+q3akI3Kfi+Sd4kO0xgGUDU7uvjH/84feITnxgzP3LXQebQwjObzXJqlHKteM1rXsMFjchrf+CBB1iFQ9Hjb37zG34f/rLVfGfVe/XmAQHM5XLcI15jYtDkbqahwaDTbJsj+eKYQaNR2Kja8zFeeXoQmH6Ygn0aPc7GFP2U32xqGWPy7cLPMV+IuIjvi4Ri1fxqXrXsZrwfqymC9bpA1PgtKu9V3IRVEru6ywmd17h5CwoklCoJsuiEQrR1esMG20YrcrsN1qxZUxGWRTFDNeyzzz503333cRj317/+NXvK/vOf/2SCh9x2BSh0yJM79dRT6emnn6alS5fukN+hURs6FjbDUDEohcNHKn+uhjrXlGVEk3lItWwuar2vMUMwzv3eKJwZnq8qomRLzRd9lOSm6rEenVf9Xes7p/rYVgUO9SrYo+d12KcurM7JULQgdmV1riphq1WAobHd4JIxJRMQ9XatRe6QF4cK1sMPP5y7OR188MH0la98peq8aPUJwM0CQCFFNd9Z9V69ebBOWrWbHPQoOsNQtaNEuH/sGEf6CSSsV8ltGlOVVyU3qdZyNGYAIjme1W5AwmjU6L6WHUowj5oUEQuTNEPNV369YjlKIVPzVpvU+9UIYfR7q3jUhX+nWndW1yI5dGEVPXwOhYucaoVko4QPN3j8HWFiFy2ICJ/figzWyjvU5/CUArtr8jl3k1wHz6uZnweFD4CCByCci7Du5s2bg3luuukmJm4qtIt5wt60ap7dzZu2v7+fvvvd73LeYV9fH792zz330Lp163baOumw7EwDLuK4M6/aTknk7dT8aDinp9mLdqP5GuUmjbfKUmPXQLVqynrzjFPBrTdvNXuPCtRU1VCYoM4LkBZp92F4RE6ZDCGMGSaBaj4F38NvCit5Nb6rYp3kY1h9U4QtIFNEXsmRv88ao9r5nnqv8rk63yuqaIPq17HV7kzyFMGT14vgc+GK3LA1ipy32r4M2qOFv0enYOzyAFE544wzaNGiRTQ0NMTesvCkQ293hF7x/Mwzz6Suri7OuYMX7QknnMDeeMBpp53GJO68886jyy67jPPrLrnkEvamVUohLFC+/vWvs43Z+eefT3//+9/pl7/8JVfQ7i544IEHuCgEFc2rVq1iexhUFSP3ED5/P/rRj6p+7qtf/eq4v+tNb3oTtbS0NDWvJnczEGPu/KvYFYgLeCQPqcZgWc2CoREqEsflIF+zyEIPBLu3cXGdAp4o8ahZnBBeZjNoROwUkYuSrBBhA0mLEjdez2rELkQMA1IIklfvu6LfW8WVSuXEhV4gUhZN6pxxQzl0bpQ4N7DOaGRPFCHNdfvXRitmQ+e1eE3m9Kkqe666jZA+jZrwpqCgYjyfh+IGXzr404G4gLSB2D3/+c/nnL2//e1vbIOCCloUaLz0pS9l8qZgWRZdf/31dMEFF7ASl8lkOGcv7IsHv1oQORBDhHvhrQcFbHt73A0ODk6ZdQ1607/xjW9kAhsmXiC+KDqpBTRdwO/FdmoG2OawltHkTqM25AV4TIGDHeOMDK9YDKrw+IIcDmvVCKVWvufWuIOvbl9RrTpwQgORxs5HLTJQjQiE5qt8K3IMhEOCDfZ9xbLqKXTysWwHEiJfiqTFYohDyfdwvqj1CIdmTTFPmARKUhcmhoroRclixc8ByQkXcgRFE1Ixl/YlojOEIcgRzksxY7ljRHjbSIIXrHtACMvnaEC0TIPMdJo8ZWcRukbUrLaNWqpA/Y/k8wUV9+o3mHYQ/q1V3asxFh4ZPE12Gc3ie9/7Xs33QOZQWNEIqKb985//XHce+OXBGHlHoqOjg0krumaccsoprLK1t7dPaFl33nknfetb3xrz+vz584Oq4Fq46667eB2aQbOkTkGTu5kK1WFC5s0oH6uKu+ioVUKdATqYP+yBF8nrG4+yNynoUO5ORTP7uUKpq+KPVqkGVxKAKGGsGqIN587xhyqVszEki/PrBHEL5gdwLKt2SViuBXKC5YcUO8yD73OjBr6h7+Nzoo56F37Pko/KLzjKfzhUGud14c9h2W6x+mKj3nRh1VRt43hczFtyKs75ipu3gIRJoqkIYWidVDVx1DqJiWWQ4yeI6ZgiEH2+auxAZLNZ6u3tZWKFUHOpFMozHScQYoYSGMUTTzxBPT09NT8H+xmsR7P4yEc+wuHeZqHJnUb5IhwTd9R1Q2mh1kYB1CCgeCGrD6Hqw1qGszUu6lG1oJ4bf03oAWPHI0oImq2YrhGKZVJQ9aNNVKLWCbdWvMbECIqZIG6hNwVZUyTRCn0+WjQR/U6l5o1ZvyrrrdYnFAJmlQ+kTal4WC+si7IeUp52th1SIXG8Vx+glEoXNjsuv1nOD8RyvWJI0ZPnUDRFIyDc+Cy2X6R7xpjzGNeFkPI5Jscv5KGnURuub/A02WVoEOfInXzyybTffvvx8xe/+MVcGVwNyAOsh7PPPptDzcgVBNBjF7l28P1DqLoeuQPQJAwhVxDNeq1SkQM5HmhyN5MR+FfJNkMyWTvwrFLABd5ROTLSNDVU5Rfc1auQEasgY78rvLzwAIKLfuAhFjFObaoLQaMWZxrbHzUJWmVYvumK62rLjIQsK25CIh519cKfYRLGREkdx2E7FHyPbZKvCpBUaFQtF98R+U5f3d24MABWHnzlggQmQvxiFQVPKXsqfKuKGFjpkgQP56BSzbBOhcJYS5MaNzUcAsXgpUKzKteRlXtBuHie0I2Xuhbg/Cx3pQjJiIoYV+TpRrp6hG8IQ7mBle/H0Ahz7OsaOzXnbjrjJz/5CffKRWEIwsvolRvuizseXH755fSyl72MyRmMl0888UQOxyLP8LOf/WzDz4PcwW4GXTvQx3eqoMndTEYoqV09Fxd9p+78FYgMUuXKOqk+VEPUI0wOILVCNA1VOo2di2h4tEaifdNKXjXFN2xVEs3ji342bGUSPgbDyhpQodRhVmQkhWxOQFZwA4T5g56qISIYXi/k4WFepYSF1LCK7wyvR81NUQ4Pj+npKl8bk5MYfr0WwVPFGeH3bZv8YrGcgxcmzAj9ItxbbXkRAtdsCL4iLzC6HA2NHYRUKsWVuirv7Qtf+MKEc+5QbAL7lv/+9790//330/DwMB122GFj2qrVgmmaTOoQJtbkTmPKgbt6XOQDtcWQdgihC7sIBck8G06ODg2iCnIwMlT+nhpcwwN72M1/oiHVUNguGtIJyKAOzU4NGtiZjCF10YpJFcar1sWhEaqGPavMp5atLEwqvOoiRQ+YJ2aX/8YCq6ppKv/OJINiHAZlAihz74Llh45xwzOF2oblB6raWJKqiGBY/RMFFXLdlYpnhKpJmRwVy50jgu0iFUhlX1KDMPH7IWsTMynsKHyod+pzMmzHSroKAatzCfmG0bzCICwr1P/gN+I3YF61/+tUxPL5GuqGoVGnoGKSYdXJFmRMR/zjH/+oUNFUaHW8OO6443iaCD7/+c/TRRddRFdddRX36Z0K6DNJQ4RkQOz4icdEL2yOWjmzGBww0PEjKgpxgcdgFhOv8cVchnsYGAjDBq/h5yGM6QBQy7ssqthUhHib90rTaBKNiF24YlLlcKrPNArD1iPfYdsSSdoqct7U6+qYq/isLHpQ86ubkWD+yHs4jtWE8CUm/I3jPCaIHZMb+RisF5ahct/4b4uMeEyeG/J8UJ9jwiamgNiFjIx5fszHxQ0l8nJ5rlxF+NXLFwJyVrEL8D2KrCWSDYm4MkI2EgleJiZG2L9S7VdM8jyvKBhR7zHpK+fxBQbLitRWzBeyQAkdKxU3Ys0cEzMYvqyWncyEZWiMBbzo0EINih4m2L78+Mc/pmbwnve8p6pnHfz7YHfSDGA5c8cdd3AHEHw/CifC00SglTuNyqRrXHcDs9b6psZqcKxpZxAOT0nfsOjfzTZQbwhN4nYOqoTnmu2NGv5czf1X5Q66lgddo3Ang288wmHckFIWXZ5S85gIhoyJ1eth9TqsDqpjWxZFQM1j4HWVWxceZEPL5bAu3udJhjujHnbqYyoPLkSYqubMBr9HLscpkTcqz0WQ2DAZDxVICDU0FL5WK4CHCOGLel2GzaBBS+oW0mgy1xRUl4nJLkOjEldccQV97GMfowsvvDBQ3v7zn/9w2Hbr1q3swVcP1113Hf3hD38Y8/qxxx7Lihy8ABuhmXnGC03uNKrnRBkmmdkUuYNDFRff4AIOFSUeKw9yCgjdBoJwjMM4PqwkZGK5KrgICJ4qvghV3FW0WKqRg6fWpVZVZTWTZI0pQtAxQdjoBK8ZMqcrvK3DbbDCthxUK7k+aokSuRGQRKzCPDjIN5OEb0z3h0ieXPSYZfIWztUDQUOINER0wkpf6HuDRyjXjvytKkcvFEYOQq7qMzgvwA0jNi8crkVxgUprUEp1lZy3cJuwcOi2mZQGnBsmF1hge7plUqeUvVD43IgL1dEPcvGEWqisU8It0vh8RNU93lOkUIZlxxB/acekVTuNnYmvfe1rHA6FehaugEWRxSc+8YmG5A65csi7iwImySCHzQDmzlMNLXfMdESMSpWBMU88WEa9ukKu+2qQjOQz8YTwEiY1aMrBMTwoV4TZwm2WmmgGXzGfGgCrGd1Gfmvw2GhejboIEzvlkTimz6jvcbssJh4cyhfhygpSokJyaj/ycRcK7SllOJy3FgqxhkmXMMmtDOWqQoeKSlg1nwyjMgkBkeMQqlSkKvrDmmNVOis0qbAslhU+/tXy5DowsC1AdOCrFVWmwyFfXmaVHMbyhhOrkkqRlc2y+TCHZRu18pPneziUzftAFjoopZCJGMLEMt2CP46buYrtEKmMlcRuDLlWN2Eyf6+qIq9JXdPVspOdNCoBM2OobFHgNbzXCKh0veGGG8a8/pe//IX23HNPGi/y+Tz75oWniUArdxpBODYagoXiFvbVCi7KoYE3GMjwqCpklUVCMIjizl2GstSgysupU1EbwbjCfRElsiKnp4Zlhx5cmoQiBxVFFGVDWh7cK/oWy+2qjgcUHKDnachIlxEODYZRyzMuGkINH1Mhu5IxCOfLqcdqFa3RdaroFavITSjXD6FQN1JlzgpduJ9qZH1wTimiFZqXlS80Z29gb1KR6yh98BoisDIK+dvJHFlW26Kzg7S7kqRi/dh3T57HcvuMtT9R200WqoQKKtQNova1Gz90WHb7YNmyZexRB5PgMH7xi180Vb2K9mMI6W7ZsoW7XQA333wzW6Q0G25FCzf44mE9oARG4U6gRZ8mdzMdfHG2g1ZjUAJUkrURMRE2U0lO8uY8oiAB2yB/ZFQ8h3KBJPRwhSKS0Tnrxgk8xSosI8Zx0Corh1pEr16eXrRrgq6onQSqFLsEzehZkR3bg5RvHBQZCNl7RL3RKox2DZvVIiYdqktErbCr+r5I/mf4OA0ew2FY/i2RQp+g+pWISqFcO/VditSFfetIrjOOeRWSDb/PBKecr6e85QyEO+1KUoybKhRWWC0tPE/QDiy6D3yP3JHRCi+5RnmyUE/L+bVyXjzCDiV0vptxSfbYQNkNlMgymQxX8MIDMGItw+sXzruTx4m6SQx1stE2RxqTheM43GkCvnXo59rS0kLr16/n0GijLhCf/OQn6ZWvfCX961//CnLuYGsCgqaMievh/PPPp0KhwJ52n/70p/m1xYsXjwn11sPFF1/MVbv4zHnnnUff+MY3aN26ddzWDHl7E4EmdxrlgRmoaNEkLSwI+T98Bok3VLWfzBcy0qlK5S4MOchhEKsITynrCthMYIBjxUUqIGKloisp/1A+emWCV5XURdosNULD4pEay54xCIfMw9WpwUCtZoMVSCSUWMVsOEqy1efDxyKH7EEqlIFwGNX2aXidlMmwOi7sUMuw6GckufMxD1YRr6uuEGGCpqpDw7lkgFKlmWRKchhd3zBpDBG8sfmINlHRI79YIiOVFOdNNYSLj0DYnFJtNSxSRW6qTjT4fqjzUrELzidZ4SteC/3WkvxMkCsrvQAVIQ9sVBTRDVnfSOWvmj+fxq7ZW3Z3werVq+kFL3gBd4UAyXr+85/P5A7edXh+9dVX1/08ukjcfvvtdOWVV9Lvfvc7fg2dK1C9euihhza1DhdccAFPUO9Q7TqetmLAH//4R67YRZ/dN73pTfTc5z6XFUX05r322mvpta99LY0XmtxplP2v7JhQCdRALO0bmPjkC6KyruSQV8iTxbk4MfJzOTI6pPmjIn+qbVNQZVceWIPm6HIgg6IXqABqMKg3AET73UpUbWoeIRHREGLZtHlsSySNsQiIXUW1aaXHnFKAQh+S21YQtODzKChwQ6RG7j/k6PHzUO4WHyc4psLhWUXggpsSWWkaVuvCVirqEeqy+luqdn5Sqs3y9zA58UAOQWgkUeM8QKecgmBJc2NelCGKKVjRk1W3ihRhfuTXSd+6wNw7ZMmCbWbAcw43TcUSf5/ZliQ/lxfKXO0dUt5WAIc7qx/HQXGG7O2KHL1AYQydK0HIPUQqeZ3V+c/bSBK8cH5eeF+EWqdx15vQzQAXcah1rRWK16gKHZatjve+9710xBFHsIFwV1dX8PqLX/xieutb39rUMg4//HDuWjFZ1OslWw99fX1Bfh7URjwHjj/+eCaNE4HOrtSoIF0qVGK1t7O/FwYBeGJZmTRRPMaPQZUdQq6treJiXyqRDwUvlRQTBrpEotIDDIN7Il4e5OGhpcI9KK5Qg5REuFhChPzKPl0VJC/im1Wzv2nYMkJV/FVrmdRwY82gAUlu+zIxk/sq7GMISMNq3j+KYITIFtQi3v5I0sfnkwk20bWyGZ54uakUH1t8s8H7WBr5KkIYSeavUJvhJadUQQ41StVPFUMEx6FFxEqzSX42SX46EYR6QdaYsPEEDoRjvEzmcPyrYgo/hnUyyvNxUYYkReq72CevMlUh2HbsoyfCzvw3lDpZOMKFCzi32lr5fEN4tqrdkO8FZKmuOh1t6YffXiwJb0sm2eXwOM51pbIF56ba18q3jpcpiZ0spKlQKqNhc1kkw+dttfWcSeeTxpTj3//+N11yySVjesMuXryYQ5vbG5s2beJQ6rx588hGOoVlVUzNAMTumWee4b/33XffIBwMRW+inTO0cqdRPTyJQWZWNyt1BpK7MfjBFkWRrEKhPKBgYMN8UCYwCCRQKWvxcw6j4pyDR7JSXngwNKpX3YYQzgGq8PCquuK1PbOCAU0qSMGyWMwwKvvb6oGmdlgvXKXKr5cHaihu2APV7C4ERLUsq1RMIISxrzLQRgiSQ3wgU0Vp8wGyoVZBtcULvNVClavhLihKuAr1aQ3WuaLiNlJYoYDFgYCxgIj8OVwlw5YoggRWVM4a4rg3VBFwUH0LhRIvhNQ0eZwHOXbyN7MzfihEHIRFW7L83EomyNnaN9YWCKFbmTPnDY803JWcTxerfcMTqO7STDm83vw+SFq4D2xQeS6Pj4hyGDZDH0NQdb7duKCVu+rwPK9qwcHatWs5PLu98cY3vpFDwvDKmzt37oS6WyAUC+URfWk/9KEP0Yte9CI2QS6VSuzDNxFocqdRBgaabIaMAZcHFbczw/lE5kiBDCgLGIAwCG/plaEX2ZkCf7dmyZd+WMEgqu7U3VB4CggTORWy4eI6ldAulQQ5AAbEiwegUA5XtX6kbvX+myLUJBK6y357oaIAK5RbqFEB3nZQWcOkRuVJAqbByhwIXlAsEbI74eehi6+VSpXbb0n1SoQqy5YqvP+Z/ETIdrhiG1+l1ENVsKEsO5R6FiZ1Sl2DPUsqLkKiKvQbSv5n8oZDDL+RTb1BMmUrMNyUqFUKEzxeviR0StmW24lf80FaS2Ld1GeR44dUBhBDqJf4rbm8KKhQy8Q5gO4UJYfsJYvI27i5osCCPyerUZXqWSs0GxQV8bEfSleIhLKVZyCvu6pyhlqp9i9buUiLG9WWLJynF06/cCXxBwlVnoXl7AiNcUCTu+o47bTTuCr129/+Nj8HuRoeHqaPf/zjdOaZZ27374fhMdTDQw45ZMLLCHvpoSftY489RnfffTfn3aFbxkSgyZ1GGbiA5/JCWcmkRGUrXsfFWBVMKHVADVIDg0QyX4jsTKhK0OUB1CiUykodEzRJAJUyoIosYpJ4efBBc8o5V/gcjyGhvKAwcavVbkwpBbUanler1gvl5GlUQVh5wbGA/ZRI8P5if8SIse4YwBhb9TPFvg4THbxWyPPgj4ptd3hY9jaOKG6KcISrUUOFPCrcr7zZGEqN4py4smInwqnSpkeFf+VrHlISkH7KlaJo2xSqpLUkyQsDh1kc6lZKrKZlkIHlhn++Ip3hvDU85++G4h3nebwtveRt3iKWI1MQ4GWH7zc7O5gkYfsAztp15fSCyA1NFNUqkyuKqWS4GB58UZNoUVxi1lYBo2HZSGHWGK/CCOHX0JgoYDly+umn0/77788ecaiWffLJJ6m7u5t+9rOfbffvX7hwYdCTdiqA34BCCkyTgc6506gA26BAsYAKx1Yl4m8foVbkDslQkVAa5MW5UCRfqQlKDVHqnBpsuIl4JOwUrjoMtzELBh9pcmzVMR2ODmYV/mtjCR3nfoXDRaH+qGM+pzEWYa9CRVQ4P0u2wmr0cWWXEiF2AKs68jipSM6XlaoVYT3VqisM0yBny9byZ1Q+ZmCkLYs+cCzz89BnfZ/Mrf2sUvPxq96vYr3CxC58LPO2EN/lq6rbkCoYLIN710riyTmBUvlOyD62ch5zziyyZs8Ktik/hixcRHV6ZaVtuRCi/j4IFxKNPfbleaj6RYdMmNVNGLY5d5wJ5TxW5F4Gtidhw/Iq3oLh1zXGpdxNdppuWLBgAYc0P/rRj7IChgrXz3/+83TvvffSrFmzml7OU089RTfeeCPlcjl+3ixhg2qIUOqqVasm/BsQVoaNyvz587nSduXKlfw6Qr3f+973JrRMrdxpVIATtD2f3EyCvLhJJu7Oiw75CelXB5873OGnU+xvxyEZFF2A7BUc8lpEErvviFZQPnLvuOIQAxwGCuGEX87PCZkb42RCmE6eVGNMVUPGxJVmudGenyG1R1bCqsEvGo4VIWE9yNTEmGplqZwpomaaQYVrIzCxVrlbUeIjlwkF0EIITxIb3ndcGFE+HqBaoRsDv84f8gSpG/OF8jtUiFape7hhMWAKAQJGZG7uE8c1SJP8HAic05Ige6ggFDgZkvUt/AZ5DDoeEzjONbVxrMfIALELbH/kdypLlfDvDtZRhorVzQ82McheKs7by8TNFubBuimSigIV5TkZ9J2VBDtq0xN+HiJ1Y1Ib8OjKXEDepvIcDC8L35+XfpXKnkYVuoSr3JUqyaH7cg4mGzOztU2dXsIaNSHcFCdHzqZjhiP86dBNAnYhYcsQx3H4vRNOOKHu52EaDJ+7v//973zOQvVDgcOb3/xm6ujoYGWwHvDZ0dFRWrp0KaXTaYpJEURBVb7WAzzyrrnmGrrssssqKnyXL1/O5BHrMl5ocqcxBiby7qBg2EnyEhbZG0fFBTqbJhoalmFVSyR7I/9mFCbGIteIB04ON6HIAnk3FOlmAUUv0t4pBFYHMABIdUDkVknPsehgFX5dfYfKt1O2LOGq29AgR0boBAw76NdrvD6DEagwXFkpe7hKcL4dwrI1gJBihaVHRQ/j0LEgbXfEh5CPJpW8cAFAeBmqaGKMx2GV9ldKbVOqnpx4zmhnFq6Alcth3z5JvDjPVFTHcj6eVPd8EFbH45shQhWtCsca6ntVcVEV9aqi+EQe63gb519LWlTSmgZ5yTiZSHFQPxGVeJk0eblc2U4mkxLONIV8xXwq17Siry/nAYbzF1GtLquBYeuCFA15DvE5GcrTq+j1K9eZ50HqRChPko8TlRqhqpYDrz99fo0XOueuOk4++WRuExZV6QYGBvi9Rt0doPahyhVFEfC3C5M2dJ9oRO6a7UJRD/C4Q87gqaeeSu94xzuC1w8++GDOv5sINLnTqMxBwwW+rYW8dJzMkkfWhgHxPpzyn90s57HJ29rHdhZcgIGTB59DknU6QQaMUXFo8cArBxKVjC6VEx5AoMRINSdoGyVKLkO5SGWlLhhU/HDSt2xzFDaaNcuVmOLzURIo1TyVyB+xV9EErxKspiEPE8C+wn7mfSLDhaFwqT2rh7epNzDIxITzNxNxMmVOHqtt6jNh3zmQJZmwz1WfSmWSXU5UMY47II5HkBqLVebKfWR1dow10sZ+xI2GskqAQoXjEeSjr194y8kKcbdN5Joq9Y7XC4RNLUquL9NCkB3lzxeTNiwW9ECpWiVk2BLHFyxPVDV5FRg4PvMFzqGz9tubc+5Mv4vcOR0yNcLi5VmYTx3LsCZKJMgbGuJ95PZtiyzUZIWPw8Wy4l2prRU3RvgbChsUw6CbhvSAxLqranlpdYP9zr1xkVfIFkYyXcPBx+VNVaBYmuTlimRSLijK8ZGPCzVfn18aUwAcl9UqVHt7eymTyTT8/F//+lcOxyK8GwZaj8EguRHe8IY30GQByxYUT1SrBEbF7ESgyZ1GAIRavcEhrlK01vUSYUDGQD08IvzukGxdKJA5q5sMVPANDpG3aSsPLEZvnxjMMwtFpSHu+lWYCYNjSLHgkBgrMpLYxSTZk0UbTABUKEu5/QcqgBhgKkxgpZKkKvGC99VrQSWk7GtqhWwfZOgvCGvVMYKd0ZCEGfCpIAgRCipC7ersnu5y2HDOLLFPHYec9RvYNxHHERfL4LITD4Ujw7YbXHkriSQIEcL9WGZOkK8KgCzJHFF4wTFpYfIjOylwCoA8tlTIXnnfOS4ZQ8Pi80ErLVlkoUKwyvZE3VOAYMniIggghlf+WyiQQtVDiBY3MBy2TZlkghvB3LggFW0FFSbeNkTO+o3Cty6VIlqzPjAMt3qHuTDJSdnkmxYZrSkyoYLGbCZzQV5eqDUYh8m5Y4RHLs5deApmM+U0B9VZIoHqWkcUNOGjIGmq+wTOfd6ekd64XJxSDssLZTE0X+g8VyFe5Y/IP1kqrfocGz+0cleJl7zkJfwIYgc7koS6AZU5bA888ACHa5vp64pwahQIp4aXWQ9oe/aDH/yAH7/yla+wiviXv/yFFi1aRAcccEDDz6MYBBW30SKKX//61013yYhCkzuNMnggC7VISqfJ39pL5oJ5okp2VAwO3oZNfFFHzo8wOBVhT3PubKIt2/hzlIwLG4lQDlKg3OECo4opeCBGhWNoPZikyQRy/kAoPys6KAQDTmjekK0FEzypGqmcPV5f5aCvcofk+9p3qwZUQQIQtrgwyg3uecDGBMuP9raxHnTYvrgLlXlqwuhaqkWyyMJEqB+QCjE/QgmuQgbcoaGKPrX8NTj2lDWHK4+F0I1GABXSlWFmHLteVubcoa5hW75M9qRVCqdmhsicInqK1IkVkKqefMJpCri5MX0ycjgOI2FYqNhMUENGw91d5HW1kMcEE2kK6txBFa9FRlcbGbkU2egMw100SuQPDJHb3885s5hUaJaVUCSIg8xBaZfVyuW8wFBRkyLACiDFQcs1daOlQrTS4Dnc8UMtN9SiLDA5xrnmFAUZ1IrdhKDJXSXa2toC5Q5+dmj7pRCPx+noo49uqkMFWn0hLKr6woIsQjFD/hvCuo3wz3/+k8444wzuS4scP+TPgdyhyAPFECBojXDppZeyAggFD9/9m9/8hh5//HFer+uvv54mAk3uNBgVxrOey8USrJogNAPFYk4nGU8+Ww6dDQ2Ricbmo6N8ATfhG4bxYEsv2XtmRT5TEdYpg+TOL7dkgaphkmjHVGlqKnNzlFInnfp5cIDipj6vlD1F5iQRrFDvQmSQiZ34YFm5i0szVqnW8UAY6b+pUQYTJkW2sV9kaNWMZ4QBsQzfIRQbkOThYbLa2kSoD0Ssbxs/96A6gazhc1B6ZTcG/h4QO/wNAmKLylMmgTL3S4Vkw4iSPnjAwRWe25UBMvwYhOCDH2UStbaQj5sWEBjHITNf5O8z/LggXXaIsHFOmVT1guNEKtOBIbfI1YsPFMnJxsjE8Q+lmVVEnzyobv0joiuG6ljRu43PJXWDASLmrV5D5nqb/MP2IzNXIqcjSR4KNkD25DYx8TicI+ofJOruIL+zhewtGXI3biYDhVAgUUhNgNKeSArlDtsK+0O1clOdPFS4Fe9hvQpStcNqYz+AkIeKZnANsNpaheclb/RI3qsieDKkCzUyOA/DHUw0NCYBKGWqE8UHPvCBpkKw1QASh1y3u+66i4rFIl188cX08MMPs3L33//+lxoBlbKf+cxnOD8vbJp8yimnsBFxMzjnnHO4G8WnPvUp/h0ge4cddhi/hl65E4EmdxoCIdsIDHgG2o1hoJvTQ6WONPmWSfHWFiJO4Ca2auBBGIA7fi7HlbX2siVBKIx97vpC+QJs5u8JJYNrGmyZexdqN6VUFtUwXiV4B1WysXICtwodAVK9U/k/AA9KoepYfJ8ZVBwawldN+bKxajeD8+yiVZYVb8mQbGDpIfdNOiWIvmxhBajtyWFSzyOvf4DDtahmhWpkpVPkbukVforS1BfEI8iHSybIZ8VOEqZcSShb4wAUPVavikVh7MvEJUEmQiyqx2syRsaWwaA/qrd5K9HeS7howSg6omBCedqB4HDhhMyrA+lTPBF/qmpQZQmXtCnx9FYqLuokswQzZqQhyO/FOTE4Im6aEnHyZnWS2dZCbmuSzNEiGaMF8jdvFWrbbfdzRDgGjzuEqDs7yHlqJVlLl4jjvVAgd2CQfIRnLYucI/cnG0VPA0OsniLkakJBxXkqTcj9vv6Q155U7lAcpdqujebKSh1UOWx7mcfKxKxYEl6FeA+/G+cmG0h7lYoobqzUzZPaf3xzJduQzdTzbBLQyl11wKx4Mli+fDk98cQTTMRAzmCAjJDvu971Lu440QgPPvgg/fSnPx3zOtS7rVurVPHXURBvuukmmipocqfBYNWKw5fCwZ+yZad9K+dQqT0hqmHRQgoXc9y1Y4BRFXWcF+cSDRe4WwUvA8vq7qi0JpF39jzQsBeWLIIIv68gVTzfLwUeWxUeaMHKS/uTqNWEWjcUY4Tz9KSdRrVtMGM7VEg/NSZroWrLMRWeynMOA7zyK0SenCRTwUegFKHbQii/ytm0mez588b41XFOZyfyOdGGDMU5QhkEyeJjMlwM0yRYde4rBuvEOaC8Eo44rtWxokiGsv6Q5sNBmFWtZhCSFiQu/K4I05afu0mEm2NkFUIHE475kst5eNzPFdYmSFnANOqRgXlBAHFj1d1FZv8AEzeRNyeOVbXVnKefYaKEatkwqba3jcr1d5nQQYH0O1rI2LJNWL3wQoTqjhxIvjlS2yIIn8tQOshbOEcvbMgcVUFVIZOCSp9Q3S3Y8UjeANS5iRi7E2fwzVYV+Kh6niQ5m+znd0UsWbKkbsuvldIzrhpQrPCCF7yArr76avbJmwjQ+xXVuliPMOCzB9+6ZoCQLOxOGtm2jAea3GkIyP6QoigiLS76uMAj8TxfpPgWl0oLOiiWkBWSGKC29QeEiS/cUM2Y8KnG8T65LSkeKC0oMDwQSl8wbqAO538kgpvlAUIldYfMY1XhhAELFdVySoVvoT64UnUM2mHJ34IBXlbkGop32DbnJlXDTA4XBd06QD6kZYZKiOfiCWxDZVorQ6nOuvX8HOHWaMjU2bCRiZyFymqQFAl34yah+vI8m2RSvs1tt9jyY8MmMufPIYLYg++RuX5ub/V9VgsIA+P78X0cMoaKByVX5pEZUKg4jK/acCEc6wsbHnSoiNuV1a2qelalluF5ODobeo5c09E9O8gedSm2eZj8dDwgdlxsgd+1doPwCBwYIAMqJ1Q4VCVns6ychz3swr+Jjj1EGC4XXSplYqwmJlb3kvPMs+Q89iTZey0lt69fqGs4B+BHKb0pmWCmU2RJ5Y4JekiVE7l/Sj2X2z4ETn2Iy3M8JR95xTzRSk71mJWkjrct+gGr3zFebztN7DSawPve974xhO3ee++lG264gS666KK6n4UnHQovJoNXvepV9MEPfpB+9atfBfl6COciVPz617++qWXAtgVtx1BQgT6zIHvNEsNa0OROI7AGCfq/KpWDq0nFgGcOjJDXkyanI0PWEEI3aARvc8glUPOknQOreiBjuSIZykZCJXCHkrbZH0z0FhP9m5TCF4ySlWpfRUcA1btSIVwVq8ghlB8ZyuX1lJ5hGiHIXMOAoKsqSOUxKG1pQCw4907m3AUGwjVy4UCseH9EFD0RkhP2M/gOrrRGzia+H3+j7V3/QKhbiTHWzLpJgHzaXV3k9PaK55u3it+GPDuojfPnyj7J7NdDxqZe8uf3iBuPUCEIF06AECpvu6CoovZ3gwjCHgVWK4bXSv66jZzjx+FP5JIWCsF24cIQO8bbl4modMgfA8Ok3gPTZOV9Sgx6VMoIsmQ6HRRDWPbJp4lGRsnMoLI9JuxosE0728tVwzgHYopMS+shzkuUodVQSkRYqQ1MieW+4O2jbITCJCxcUCF2eLlatlgcv3qnEQAGxpM1MZ7s53dFvPe97636+je+8Q3Oo2uE173udVz4gK4WE8H//d//cQgXbchQpYvKVzyiDdoll1zS1DJ+97vf0ZYtW+jHP/4xmxkj1AyyBzUP+XhRY+RmYPhT2RRtGmBwcJCrcE6ic8gOG91Oc7BSc+BeZG7uL+fadLSRh84UiuyF1DGjb1B43w0NVzSUN2SSNYfaMHhicFTGruxOEQrB8gfgeh8ywEVoNxym5dfCLvmhgQN5RRgkVEhIVVXKKllVrWe2tQqvLjlfLeVupkIl34Ocm53tYlsByNMCMTAtVmmRw4j3sE0R1qu2HZmktGZF7iOq12yLnKdXkT1vTqD0KdgL5pOzbgMn5zMZQUgS4USQSNh0IC8OFabwf1u/YcK/D0TT69tWzv2SIWioW0HLM2ne7ey1gDuyeEkRekT+HOfY4TAM95MFeYMYZhpkFTzZvSLk4wiROedR8v5V5Gztq6hgDbaTJGFVu2uE13/xHiI8jfMwnabBw+fyd8aGHSq2xXg94kMuJdYOEm3YLCxqurvIzyT4xox99mIWF2cEOa58LpfPm4DYhbuQSK86NjOWVcWccwdvy7YWrtDl36KIOM51kEYUcsh2hGwzpPre1us7vJvC8Ut0C/2elZfW1tbtOiY953fvITvTnDVHLTgjBbr93K9u1/XdVbBy5Uo65JBDePvVw7vf/W6uSoWv3eGHHz6mMOOKK66o+VnQpzVr1lBPTw/n1yH/Djl7sC/B8iaKe+65hwtGvvvd73I7MhDQd77zneNaplbuNATgsfXsJqG6qbsEXMhxp45BvS3LygYnZw+Pkj9/lii4QGUdf15Wt0rfLNWaiIkd5/DIjgMK7G8mveYU2I5B5s8BqkWZsrSIVMJySBZxWgM2CyLHL1CgQj0uVcsrvyRaOUEhQVWlRiXMnq7AaJYHfBC+fIG8uT1ktKTIHMoxyfOGh8fmPUpg24fNdO1le5Ld3cnhUZA5hBwVKYRhL973nl1L5KfIhAFxLs8VnxZ88lCBje9Rx1gI9qIFTC7gU4fwcbUcSgV4yEEltFAQhGKcjnbOW3OHS2QduC/RM2sDr0N77VbK7zeXYgMF8lBVLXPq3KTJ9m74O7BAwWGcMMhJWcLPuIjiCZGXZ+U9ig0WmNgFOXGSzKrn1RRPFKIYs7r5OHU70uS0xMle1UfOHrPILDjkZOMUG3YpsWWUQ7wJeU4hLxYqoVIBcUNmDLlESLHAuYd7INyoyYIYA+c1fgfInsq1BXljBU8qcorgAXgfy1QETlqnsIKL81gpearNGKIBTimUEzgOpU6Fb7W6pzEJ/PrXv6bOzs6G8z300ENcmQqgsCKMerl8itzBfBjVtSBeUO8mC+TvobACEyr/zzzzTCaNUARR2YuOGs1gt23wBwkVGz4cb8/n8yyPdnV1Mdt96UtfSps2bdqp67m7gMNlCM9I1YYTvh2H3O4WEcpRF2+oHy1ZJm1GviQtMmSYFZ0LQAYQVuJ5izyPH4f6EeoiEW2/FG54rvpdqk4Gap5w6DWc4A91TlXYhkJ5QXhINahXamA4fKshAEKnLEiwrVW/UK6KtIVyi3yxbJJDpyDHKtTZENje6RTb5uAmQSm7Clw9inAkVz6L72biWCiQMZwnD7Yh0k4lCp+PM48VORCnWuCwM6pmcznhv4fCDXWscKs8eY8LIoJ1RBEIQrNO6FiVvnZhE2NlZBwbhWGx+jLZpcswWPVTZsLIMwRpDSuHkZXkfDtjzizeJsW5reRk4qwM5pZ2kTlaInMoT/H1AxTvL4j8PdyoFF1B7NCaDPmx6ndBnUP+bBBeFp6TyP/j8xHEGb8doVKpzAfEDgp4qH2fWD3lbydIG3JZOf+OC2pkFbFK7ZB5mRP2jAz1kNYYW1Ax2alZXHXVVXTQQQexwofpmGOOYWPe8Yy3aOl11llnsUkwqkeRA4eer2HccsstTK5gGAyi9MMf/nBc2wUqGT6vJjyfO3cufeQjH+GpEf7xj3/UnNBvth5M02RSh24YkwHyBK+77jp64QtfyHl3yN8Dt1m/fj2Haf/2t7/RL3/5S7ZKmdbK3Z133knf+ta3+MALA4z2T3/6E28YyNgXXnghlzQ341Uz4+Gj+XovW5nA1w5hV3fRLFYv4IqPhHA2J0abo9ltIsyKARmEDnf0uKhDEZDecvAFQ76PAlQDtJ7kPDil4skcOwNxJVVdp0idqtpVradULhAQNseVimHwM9RgzqGhnPDukooEwkpQ7DgMqTHW6oQ7OUhzYVMSeaie24bIb2sRRQGw44iEV8cowIlkEIJ0Vq4ie+4cJlU+uph0dbLq5kCt4/l94YXW1Sm+HyHarg7x98Agmck4q8m2LMLgUK8svFCkkA2GUUCBDhmpJC/bPHw531D4tz8gSEZJqk7I55vVTdayJeQ+9Qz5z6zlsH0Q0i8UKbF2gPKL2pncuemyeqfCrkzw1LZDZS1S1hIG2aiB4Fl8clIm+YZNCahoB+9DTswi2zRZrYzmnKlQtrdsgTT7NqnUFiJ/PlFuUZYSvXEy2HrEJ6c1QYXOOMX7S2QPFchHoRO2PbYzlDWlyOV9og7pveV4QtHjc1cWOMHPEtsbOZAOCk9yobZkobxLHAcgpCDfJNYNIVo+9+S2Y89AqbpxEU74hk2rcLudFQracUFEAXmBQgWSgfwvFCug60Kj8RZ5ZyB2c+bMoVtvvZUVKRQYIH8MeWrAM888w/Ogn+q1115LN998M73lLW9hcnb66ac3tZ7nnnvuGMLV09NDJ510Eu277760vYFtBNIKMgxblYkAvxeFGK9+9avpjjvu4HByFDBURmXutM25Qzwb7Pyb3/wmGwdiI6BxL3IIsEPhN/Oyl72M50XDXTQCXrFiBbtVN4OZmnMH2PPmkje3i8xVG4h6OsnpSJObtskeEiTN2jbKYbPi0tlk9+fZE8x5/Gm+cCNxHQNrOOxmw48LFYHZhCB3RUdUH+J/3qls4D4i86FkH9qg6k6Gg8R7oRCdygtSxRPKNgWKj1IvVO9ThJWhQkZ7b2owmBSB8EKpw7ZC7lsiQX53Oxmb+8R2hfnwvNnkPloZtqhVoBGtPAbBA+lAXp2FPL5kQpCwQ/cnevgpbmPmHrCErKE871P3YfE91gF7i2MDob+hYZHPpapvVUU0iARIRrEU9KVVFiwBkQchzBf4OcK43r44NomsjdvI62ln5ctfuYaPndKhywK12E1YonAhVNQTHh9RGYsuZ0BiwKF4b46GF2d5vkR/iYlUqcUms+BR6rGNZVIbAneVWDifSvPaZQjY4s+IGx+pBCpSyXcvslrXJEptKZKTtCi5eZTcTJyskSKZA6NEgyIfjtB7tqut3CkGy5S2JmyCrIorQOLUzRhUTmxrqY6CMHoDQ2R2d3LLQWVzw+eZNDn2R4SKqnI3uVhEErow2W8GytB5d8jR25E5d4df9z9TknN390uvnPD6Isz5xS9+kcfYRuMtVD4oUVCfZs+ezfPAcgSVpSgeQBcJ/A2CiNBouPq0v7+fq113BE4++eS64ddG6l1HRweNjo6yIonfFO6UAcAMuRFQSPHyl7+cksnKyMZksNspd5CBwfRRSQJyp3D33XeztInXFcDa0dutHrkrFAo8KTRKvpzWQJ5PyiYTuXJxm6v94IyP8JJZQvN1J3C0F35fIpyKhHW/PUtG/3DZNJgv9FYQjmVbCdskL4F8H09YoqgQK8gZBm9VKKFaXcH6hJ/LPqRA9F4kfFJimRhcMI/KG8T6wstYE7u6gPLF6hk/8ZnksycbtiOUWHROaETsJMKVtxXWKF1d4nVlwYFDbihPfgJFFCm+ecBxFxhTsz+daD7Pxwfyx5DEDxUJFh84b9lse7h87PDxaZCZTggFS7WUQ3E1/A6RB+YIQ18X3zWnQxhqqy/EzUjc4uMdx78wL1bHXsTgjo9rQfBMhyixcZjTEAwvSx6cQpIWOUmTLVGsvFC2otsGxIfJZltadsAI9a4lqHhgmDKXrYrlyvD8BMVGPSr0pMl0PLJGxc2MqIqNSasgV3guWyFF3FJm1DKPFeer2i+ye4UKobMCjhs3+FeC5MNQGYTaMtm7EHmCbDWD5UGJDZGyqr6JzUArfdsV0XEOIdF6fVShwkGhQx9WhGebGW/xeOCBBwbEDoAad8EFF3COGsKnmCe8DDVP1N6k0frXQ2sDEhtVyfC77rvvPiacsCRpBIhLk8V5551HU43ditz9/Oc/5yoShGWj2LhxI7PmqGyJAwvv1cLnPvc5+uQnP7ld1ne3Alofbd5ChcPms2yOKkUzm6BCGv0xLQ79cIHEtkGKPTRM/h5zyYDtAgYRVegAxUW2UmIzYNzd44KB51YojIVemcjZK/pl8sdJ2bLxuyKQyiSXQ7KwUihV9K1klSAUnmVVD2FYJou2qLw1DHI2b9mJG3bXBytcc2eTM7uNCY3piFCjmXfJkl1IzDmzROGDBHegkM3rwzBBCCI5NQrI08PnwuqV254hC55zMslfKYNc6LBGnrfYnzBE7h8U1bQgQajI7Zc9bZEnhxBtqcQtzGCGzOFaEBJWmKQ336K5bOmDogZ0g/Bb4uQ7PplY39XlUDOInSJaxTZLVMnK/Lpozijy88CcQOaKszLkxkzKrhzkmxe0M/PXb+JzAueXK1vgKbXUn9XJ6pk7u527YIhloyOGQSZXlYvlB8odvh+nmW2Qk8TNEVFi0KXYkEMWikOG8+Q+uZIcqVia3V1iu8KSCJ9H9TFuwJBPm3O4mpZz9ZQPHnd0ke38EMZO+NwujtMc+PM2GQvnEI2CVKeC/chhdXwP1F50xchmuejGzI71P2wGvBwUcyVka0ANhj8FYVmVcxdN/If1xic+8Ykx8yORH2QO+XXIq/vtb3/Lif0gP43GWzyGiZ16X71Xbx6Qt1wuN0YFU8D3NlPsYCD3tYF/6ZVXXln1dWwPRAoboRkCuDOw25A7lBvDzwYVJFMpXX74wx/mnnAKOKimouJldwOrGlBsoFZg4EQj8kXtbOdgD5fIQBgVd+a46CPpW55YaB5vIBTaP8yhHCZ2KpEaZEsWYyhfLJgWAz6+B+2+lOcdVDf8AQIpO07wwKkInkKY+KmiCdkGiXP/0J9UqobMUDBgadQHBnSoMZ7PxAbJ+4CXiglCADIdymtkvztlqhtFoywP3+cQLZQ8XtZIgbso0IYtVDpoCdltyzktAEtBeN9uzYpKbVRmg7hzDqX0XgPxBPnA9UDdSEBxwvErPRdVyzAO327ZRqW955MN/7febUSzs2W/NlVZLeFkLUpsKZDfbfONCStpfIDiuBTzgFyBBPJxivWNm2Shn+zajcJ6peJ3l33foNYht9BDgUpbms+5YNspsTr8YbyMr8Chj3+SeKY2lSg2VCRrICfahuH3yoEsMG3GOSvNifkGqiUj7E1SCaGKQtlE7pwlzxlsr3ALP66YNcjs6uB9woUmdjk9wursECFZ2XuYlXO+ISuf2+OFaIU2NrQ/08Hbf5JJVH5oPA0rWrVUu3322YeJHMK4qD4FkfnnP/9JOxsodtjeeN3rXkdHHXUUfelLX2o479NPP83WJXj8yle+wsUjCEtDyUR+4s7AbkPuIANv3rw5KFkGwMj/9a9/cU+4G2+8kZv+IlYfvptA9Q4SOmuhkRw9Y2BZZHW1kZ33KL+ojVJ39bLKZiBKJs2AOTyl+s9CcUskyIaiM6+bLxqs2qxcFQxk3E4qKQcYVFOAsCHRGwQOye5sFCZzgPCcQ0auMIuFgpGQeUfha7wyRGV1SI64ijhyE3uTfKg7ql1SDRVJo0zUoIZh2yP8jlCijS4KGPgRHoR9xnBZPQmbAleDyMOyy/lbEcCyxEYoVT2HUnf0wWSPtFJs6wh5SbQhK5D74GPcbUHla9oo6GE11pcm2RHlNt0mQoaxmCCDmD+ZEMckgHy/XI7swQL/3tI+CziXFMe0uW5LMOiJfE+Eg30qdsTJQs1QOqTSqdlAuBDqRdqn7DXrpJGfZ5EVIr3VbHegRhny2C4vUBAn5V/AFbtSLeRjWYZj7ZxHmVVD5D3yVNDSq9YRrvzz4EnIuY4gZJmUSF8omUQjI6ziBRZGviR2mFCFjHw7KIBtLeR1twnrIxB9zxeFIbwDpe+lZQUqHeff4howwXMP38vG6I5W7bYXVAVsI0CdQwUrAA84RM1AXl75ylc2HG/xiOKAMFQ1bXieaIUtnmPdaql2wIknnkjbGytWrGhKSALZPeOMM+i4445jPvLZz36Wyd3999/P5sggxTsDu40VyqmnnsoSMe4i1HTEEUfQa1/72uBvhBNRbaPw+OOPcyk2ZGWN+mD7ElQljjjkpE1+Hn90LcW35TkvCn52TmeGVREaGiFrME/uM8+K6sRMjFuUoboxuNvGnfv8WeS3ZshHqyJbet6pYgkmi5JESEWAyaPKccJztlCxmXgINU8SOwyCnE8kEq/581ANMZAjuRuVg5KMOqvX7KxNulsgrFaJtlYe+7Zxj9KiS+ZgTuRObpZGuxErk2rkjcOQIcDigx/b24WNyiZpCaJw2/3kzGlnH0VW6ObKME3JIaclQbk5SXJbk+SjMEDl1oH8wGiYw4iqwb3MG0NR9uwWyi/pEjmgyM1LJclUg4VhUOyxNSJ0ysUaMs9PHpfxDYNklkRYFGbB6S0Oh11B4jCp1mPgQnx/wpW0omI2tbXIypz/3EPJntVTk+CgYISLihB2dT1xI8UWLKKPKwow4Jtnj7hiXVyfMisHyL7pLnIfeLTsIac8JevtExQ4gayp/YKcO3TI4OIT4RFZYQ2Ty7H6zmbFqSR583vKKrnvi04YwcJdJqtRn0GoqChgQWu6CUFbodTsUDHZaVLr4Hmcow6i12i8xSPGbIgyCoi8gbghtKvmCS9DzTPeMRsk8/LLL+dKW0xXXimKRpoBKnzD04tf/GLOGUQbsLe//e0NP/+hD32I8/+x3iDDCqeccgrddtttDT+PHL/zzz+fK4dnpHLX0tIypswYTtLw2FGvo1UHQqyo6MEBBOdpHCTNVsrOdMAmwuppJb9TuOeDSMHVvrConWJbc2QhXIeBEArAoDSyjcfIyjvCzw6vS7LFTc1BzBLlgUe0blJ/ixZGQasnVc0HKMKBAU8WbwQxLr7oS4uGkAEy973EH9zfVraJ0jnZDcFKGkLZEI2KHnlJgyxpxgtLHPjMcSP62T1EfdvKis04vwNg8o39F1GyWKFDteqsTqEIy1AqfPVi/cIwt9SWoDhUXbyBLhlK/cum+WaDQ4rcS7hEDvJxPJ+KbTbFFs0i87HVgqTge7F85LqNFsjqH5ErIG86FKBssZoMg2KTWh/qo5G53aIyFtvFDBvaCeA1qwBS5pLZ3kqluEnewtnkob1ZDRgDw0QZUcTCBBHEMbTY4NH1yYLdy6NPRRYgt5PqAFEnjIn3+HxluxtRNMH7Q3n+KQVcGodzazjZZYYVxag/ZWTfKnBv3KDlmMe+l82CiSBu5JADqDEG4/Wpq7WM8aQsQZFCaHFoaIgrY+FJhygZqncbjbennXYakzgUC8B8F/l1aMeFokgVLYMFCiJvF198MRMcVKbCzw0VtM0CLcZQhAGlD2FU1VXis5/9LP31r3+tiPZVA9Y9nL8HKxWEo+Eph9/QCCCw2DZRQL1D14pGAEmGx93HPvYxmpHkrhmArWPHwEwRdxfY4bBM0WgO6EVpPrySYu37iTZM9z1BRj5P7vxl5M7NUGJbQYRYZVspVnOQ+DyEFmIFYUQrQ7J81z5aICctbCHKFYcqZyis4MmwFypywwpCEApGCyWR5K8IG+5BA2f8oWHhVYYEepjeAhBixuOKP4PB9jGOx0TeaYkxoWF1a9Ahe+MoG942tECpM2BzpW2xyHl2gXoWApQg87AD2HPO2GdxUGTjPvQ4WQftx1YfVkmoW2zVs6GXDC7CiJGPXFF41+25kIyCQ+6cDsrNSnBRSK7TpGJLhjqdheQ/upJMdKjYtI2cRT1koyigVGK/PHOPhWTE8pyAzeFP5Wcn246hU8Tsm9bTlpPmkhsXOXech0cGmciB4+Mbyh2Rvb6Ptr5gKRsbI0Sbuh9tt2och8OjZHgdIqcO3ni4EQr61oobIS9ucjcK756Hy6HjYMdJEiWr0xsRPO7jO5oT6QuwhMENGIdAZYgYj8hpxPvIq8SyYDvTKveZvBmz9tubj4dqIXqQPSi0uE4gpDuuVn9c2S79BvW5u9MBxQ2+dPCnA5mDryyI3fOf//ymxlt0V7j++uu5OhakD2IMcvbCRrxLlixhIgfPPIR74a2HllvNetwB+OzZZ59N3/nOd8iWXqiO47CCh6pbhErrYbymyVEgLI1thN8SBvwA58+vba4e9epDf9lmu09MS5+77Y2Z7HMHcLL3/nvS0NJWar3pUSodupRfL2Vtig0Kw1SjiFZHg2xDATLlpuPkJSyKP7aW3K29oo0TvNOg3HW1kY98HFQmymKIIMnd9cgqyGb1UGWQJxWufoWNQgqtlJDn45XfRx4SFAgQQBioDgyxNQYqKDmUy8qLy2qi89TKnbcxdxOAcKH1l7Owh4pdCQ7Ns7chTG+xr0dGq/qz1euF6qxaXX4+q0eoQC3ZsSHZ8OdwzHR1kPPYk2Qt34fJnXvy4UHySOLpreS3pLiKlgsksmny120ko62Vtj5vEcWGfQ6NIkcOqhcIFohSKWNQ9z1DZG2EZ59JztxOskaL5GYTfAOz8c2H8I3DvB8/Kr5owRzKzc9SKWuxaocqXq8lybl5205dSsUWkF8xK9Q6ED4P/AhuPshAyIl8PDvvU+fvH6lbMcp9b2d3sEVQqSUmbnx4wQbvh/jGId4e9cDtxuTn2F+uEdANA2bRkgwG3pCY5s0mAy3TUPCBfY7X9hfXAPEFgmQjNMzEvVgUPXsj1iXq/Pf6B0TnmjqedZgX+YEozvAQEeCbP3O3qJTdkT53y395EVnq5nWCcEcL9NArvjitestCsQORihoWP/LII5yuBQ+6ethzzz05lxBRwGioF6ofetTWwwc+8AG6/fbb2Spm7733ZkcP5A2CGGNCJXIjIKyLsDLSz6r1t33Pe95DM1q505g8MDjYA+hb2cp37si7Gzp2CQ86oLoji1soubVIsaJLXmuKPFiaIFcLJC2TJstDpwspRSOXZ7TAFYFlJUJaS/DAiAFRGqsGxsQgdSjYQM9K5OHBHkX27Aykc0kAUQ2I/CG+0w+ZImP5eEkTu6bAVabIPyu5ZI26ZCPPUtp4GJ3t4yJ2KpzKfVRlCBdWNOxx1yhEp/IusU65IhsYe65HTjrGNxbc/ixuc8oAGtMjrOgOj5Bz9D5kImOgIKxGYBNSbCHKdRsUGybKg2fkstSB4/TZjcL7jW9Ouon2WUyxEZ9yXaIvMYDjE6pboQ05oS4VF7RT/KlNnHvW/kAfbT6+W6wvW6PIylaZdyfIpCB4HtLtFswmqkPu0HPXgvVQKsHkjkOxssgotmW4IbELtjlCs1DVm+kGwS3RhMmz6hPLaQ2ySp2JOG6W0HoumSBPelIGFe2SwEMxrQsV+nVHxqqOYZimaB8Huxt4EOIGU+fcjUGosHtSy5huAElFrl+U3K1Zs4bTuRph1apVVe1SoEauW9c4DQXdNhBqhssGloNQNB5f85rXcBi6GaDwAgogCkcxhYHzUpM7jSmBt3Y9xffpoaHTl1P6utvIje9JQwtMKrQlqdAORcHiO0gMxNZQTvSYhSlsdwtZMZss3KnDmqKtVYTMsikRUouzl4Mgb8y/RL6d6pOJg9hPl4shONeHFT6UJZbNXLnpORSKcO9KfBfIQcwSy0KyukZT4NAZprXrKL7f3hy6c+Z1Ej0+RPa8Sg8q74RDeeCFB57dOyw90kwuZEAhi9OWpHzKojjahoXy8xC+gwVKPaLD5sRD8i47XyD36Wco1tJC5vI9qdCdIOuuZzkHbOjIhZT564NcfGEetC9XtrZeu4KGX3U05dtNKmWJHEQS0So5gfAqUf/eUNdaqHu0KNa7WCRrMMcWPt13uESr1tHWlx1InQ8M0sbj2mjedc9wkc7oCftRavUAjRwynzL3rqXiXnMo2efR6CyTrDwIJbqr+JTvguE3UarXZ8UOal6q1yXvsVDxQRVwteuq1UwsY4+6HJ42ETpev1H44jWBsCrGRsJQvUIpEgFU+BZtxHCujY4Kj0NZ8MLqdw5ekQnyNm9lYsY2MypfFsvfNhL0g2YyjBsDFGNFgeKQEsK/sfrEjhcaasuGAhGQ9vGEczVmNFC5i/w/WJYce+yx/Np///tfbgmGdl618Ic//CH4W+URKoCcodBj8eLFNdVUpXyiiAIh4UsvvZTz7+CNB4NmtG1rFlNdTAFocqdRCdlCyMp7NDwvRkhbR4VgYoCo+/Ze2npUF43OiVFiK2xN0KvSE22hWuAtJv3nQMbgi4Y7/WQyUOrE+8JmwkfuEu5EUZXpSmUA5EyqB2owEZ5mct1UYjdCsmzX4JPfPyq6FbBHl8zj221qwHc9oCoaprq04n5+7jxeTuJ3nn8Ed1owQOw2D4j9DGKHCjGocqZJpYzNxQxoWxfdDcrbri5UeznDYHUIxtpYVuKPd5C5YD7l9uyk1O9uJ2O/vYn6+qmwtItif72L88DYMkcqaLAosdC4Ii5y4VwY8sYMtvlJbM2RyVWqUHnlMbVkAXXd3kvD+3RQfFAcx95+i1nJzC1opURfkYkdjsf4gEMjc+IVYVnxt+hUkVmbp237pCm1sr+hgaqCypUztw7U793baBmyIkO0gIvOIPLyoPAhFBv4UQKyK4WoikWHD1mwArIowWkReA7iKIs5apEwLuBQn21Qzcs9aaWditWBUK/2ptwVCip2F4DUQRhACBS5dqpI4YILLuC+r4160uKzUSNifB7EDqHSWi3HkGeHoglUxf7mN79h5W6yHrmwlwHRW7p0aZA/OFFocqcxBrjwJ9YPUGxuD4fTMIBtPRjvdLMqMuuuUZGLtbmPvAWzyHSyHCJlt/vRHFclct4dugZ0tAgLFPbtklYnkuCpGEEQioOfHt43La7URIEFW2OEYwmcc+dyiA5qC780f3Zg1cD+eZIY2nss1FYo48XIKPnwKpRdKJStCTpG5LKiLVdsi2hB5aUzbJMDLzqiBHnJGNk5l8yiy0rbeLODnPUbyn9L1Y97weJYka/F5OuqwCP2V5HDh3ZYyLeDNYkLn+NYeXIyor/YwDKiXE+MFvyjRCaqQdGhIW5TsSdNhfYYtf5nJWVuRCgnS0PH7kmFdpNSW10aWmhTxxMejc6OU8uqHDkxkxL9PlcVI3QLhS61tUTxu58W9j9PrqJOZ78JFaGMNwReAfa9461T/X1pm8I+cpJwBZWyeJSEDjdkfj4vqtGh5ingpgum1lDO4ZEXNhePfhXUty29oo9wo04Csv2jsHYpF1ppVEKTu+qAcoZiDHSbgokwsHTpUkqrG5Q6ti4ACiGQc9fdLdMtmgC6dfT29jK5QwUx7EwmA+QFotr4mmuu4edPPPEE5wLiNRRlwG5lvNDkTmMsENZ5dh3F9ukUpqdE1PUg1BCfhhcaNLIgSS0gXv0D5C2bT0YpQcaQxz5laFdkLV7Ejcv9tgy5LSnuVws1B5YppdZ40MqJ/btkj1p45VE2LtotsXO+JHRcmQjPNUcogYMjwqR2/RZyczmyli0hTxZRAOGOAWGnfY0m4XlBQQTy7WhoiMxD9ycqOhTvdzi3sjC3lbcxwuy5fVupZeUoWSMFMgsOF9ZgahyLqw8k1xvYf7Dj+ec91Wc6+mD+Lrw/sn+PqKbG/QNaqw4RFdA2NiarrGPw7/PJHo3R+uPStPDGAuV7UmTnXUo8tZnc5XNp07nLOOSKAoz4oMeK85aDbWpZ41P/0gS1Py06PZTSokUbyB2m9H9FXpyLylJMwG33V9qDyL7M8BWM2ofsMMDrDh1lZCEFGwXjfOM+zr6wkdljFoeradUQGa0t5LSlxA2WVOWFOXSc7WjqKrEodEK4GB5+UHZDSe327FlCfQfw3bCpWSPVSlbmdUpFNaD1mDFJcjbZ9mW7MkDm0MsWIdO//vWvbGey3377bZeQKPrhnnzyycHy4Y0X9rgLA/YuzdjOwPQYRPEFL3hBxfegDZomdxpTAr4o+x7ZozA0zXOYC0nqyF3CQJneWGQSxd0NHJe8dJxM5M6NjJDZ3Vk2hEXuG5qZ5+B+DzJgsWqH8BjCZr4MxyqgehYFGmY4hKtajSnvOygJeC0eI7OlJaiORTszbjkV6tEDmwyNcQLqZ28fV3Gy0vOcg7hrCO9LF8a6riBUbE2C7W2Tm7Hl9i8rsTD/nSiYfAyPkF+nYtJetifR1iFyu7KCRyo+P4xwq0GFTmkyrA6BGLqteFRqBcEzyEvalOjLU6EzScbCLiZsyNMbmm+SmyTKt1vkog7IJxqdJaphe5MJyq6LUXzQ5Upa3KDgvPCWLSBr9aZyjpsMWbLtCwgRPAK39nFBidugcm+7A+oet/0D0QwN9EzwxE0VuoSYC+eR05EO0iKCNAnlTdnEV0F1hUFyuFoYeZdsuZRKSe89yKs+mTCfRueLLVvLIWENjSbwile8gk444QS68MILuR8tKmRXrVrF1kboRw+rlkYYGRnhThMozEBoNIxqxQw/+clPWGWDUojPocVYI6WwHmCD8otf/II9AsOee1iuUiPHCz36aVQF7ujtv91FfjZLrU8Nc7hz3UlZMuFfvEeCMhsd6j9nP+q6u48T6RHiMtn8VJigsg2KaXLrMs+K8eCAfCwvgcRzHLweUcJkJ37LcckaKQYhGbaDkG3HVIUeQrus6CEfJ57i3B9v/kLZ0UKQSdhJgHzwfCiyfXhi3mwzFTAT5gKJPTq4OTxsbszhPFeucnu6fIwctrQRbeRK7QnKdZvUvyzB1aGtqz2+EYhDxS15VDr9SIrdeOe414OrOBvlqsHnDuTh9gf4aSljstqW70Ten5xHXSMNkAeH7JhLtLBEbn+Wih1J9o9LrR2kUmeaiSlXuY4QlVpFEQZCugZEJPWIQWC2Sa1Fjx87nixS9tZVTNrY/y2bFaqcInmuS6XjDqR8NwhhN6XuW03e5iqFDjsa8vuhqLGNSb5AZk8XeZ0tZA0XyBjJk9eRJXvtVnJndZRzWOFIlIzL9In6ia1QKnHzBS9Ki9oCguf19XMFLrW1CIWdve1KbMXD5LK3b0y7Ng0BXS1bHfCx++hHP8p///a3v2VS19/fz+QLFiONyB1sVM4880wOjYLkwZQZ5sMgawi7ViN3sF+BAbMyUf7CF75Q0YZtvNiyZQt/VxRYnzDZGw906rlGVeCunu+gpcGp9exmig+ioboIzQ4siXGuUakrwy2q0AWArS5w14OwiuOIxvNcvSqq65CPxRd09roTFbMgem7CIjcTJzcdI092quAWT7IdGdQ8AETPa4Ga4JHfkma1CIUUbK8SlzYaUB7ueVgTu4kA+y6TolJ3hvxsipz2FLecwzZ3elrIycQF2YZB8Nw0Dc+PCfsPWxQtbNvH5GpV5L2hyGEixG48+XlhL72W6+6m9IYcxYd8skrElawgZFxkkXXJjrsUi7mUShQ5bAtVD63NQOxwcwA1jj3q8ijCQPEFkYUiUKP82HNvjm1Tth5g8+8eWBwnf26PqDLFMSlDnQDnthWLlFi5mQYWm7ThmBgV91vAxAq5jLsCOFSsQqjpFJmb+zm1AkUt3HYOv4tl9FChEiacZ4m4sC+pAfx+VEizr6Ek6vCzQ/cOo71VFGGNjpK7ei2HaFFEgjAvwsYa9cidMcmJph3g2QdCBtxwww1M5tLpNJ111ln05JONrYRgHPyiF72Itm3bxqQNLcNWr17NfnMo1miEf/zjH0zsoPihBZsq6hgPoDaGu3IoQgdD54m2T9XkTqMqMFDxHTQGrJJL3rxuHsABhK2gcuQ7BalyurOca6fCUNxkHKE1O9SZogFA6jDx/OpOhVU8YRgr2lIhn07m48lE8HKvT5k3pDFxICyejIswetGh2KYhYWGTAukWgzvIeanVJiclqp1V2FOpXAhtYh8WXijaAO0ooMoyNzvJ68MqG6L5yM/3Qm2FDJ8s0ycH9wdxk9uTwUQ71pfjx66HhaKV3GwwOTTl7+Gqbih5tkmpPpdfB4lM9nuiiAjHZMwWuWWR0KwLW6FhQTZxEwOTcDZg3snAepitWQ6HgoR6TzxN7qYt5KODBYpqNm8lF76CUqELwrKK6DWogA13ruAWd/Pmiqpq3CyO5sjt28Y5sbiJDBfS7HRVU2O3AypUV6xYwSoXyJ1qGbZt2zZKSiufekBv+v/93//lbhvoqgF/OywTLdM+8pGPNPw8QsGwYgGhRBgVoV0AxRD1qnWjXnn4LlT4ghyiQAS/4wc/+AG3UZsINLnTqAlWGDBobRsic/1WGl7skctJ6USjC3z2DkPukRczyZo3m/Nr4LYPYoBBwknbIs8Oxqgxk5ws8uOETQUbvypg3ODwarkoAmoKF0dAxQPpU5WwMXS7SHF3AVb/LJMHai7YKLjk3/HgTtteuytQEc1J7lBrB0bIWtdLNDDEbbdA6rykUEcBN2lxCFQortivIRNfJkDE+WtA8awdSPA8n282ECYGQMi4TZgtrXTw4Bs8JQ7s5y4WBeTVpWxyWxN8XKY3Figx6HMhBuZPb/LJj/k0uJdLiT545SUosbXANzcjcwwaWmhSYV4bd9VA8QfaeSnlzprdw+rV6NlHUAmdvJJEvQfEiA5YKgoRJPnbWWCbErRvKzmieAUWKbAvise4kAahU/aXDPWE5nNQTbAeqmfVEPp93I4M6qC0PEEXCrQLhFpndkw8lDXTMHnVbvLVtrsi0GLsta99LbcumzdvHp100klBuBYFFo0A2xMQOwChUUXO4HsHI+RGQLGDKoYIk0kUQyCPrhkcf/zxTDJB7LDOKAjBuoC0QkGcCHTOnUZNKBsMW3YwcDMumaMWjS5A6y84+Vs0tMAiJ5kge6CVvcNK2TjF+hzRvxJCmuwry6pcaDxTvWINEDppdSGS62R1LMcgxMDC1yMoR64q1BBkMQjd4qNatZscMFBDWUEOVC5HuYMXUaI3L6piUeWJKtGMxX1n4evGEwyCEZaV+xV/c64jFF7sFllgsSPgz+2WPVnlMSTJZgA+bMT6JGMlyvWYgnTFktR9Vz+T2uGD51Dr0yM02oN+yLBNQRERCkeESmmPohOLQ+mN6H6hvgPHr1C2OQ9ta69o4YfuLHaMz4/0Zp+2dUJZJhrZI0up+MFk3PVI7Z6zOwDcOcJxyFwwV9gYIYw8MEhGtpN7CSPtoQJqV4ZDs3WsUKxsJrh+cLFGNsP5dlZ7K5nZTKDs1WtHp1EJrhWbgmVMN7zzne+ko446iokY+t4qorbnnntyzl0jwHAYVigwHT7xxBPZjBg5dz/+8Y9p+fLlO6wYAvYtMEOeKmhyp9EQuONGKMkassnrFH4+hgVbBRFGzWwo0sD+rdT6pFBCbLSIkpVDKKIIh2fZ6gShPhnVUfYVaEDGSp2skmVSJy0aWMWDR7Hr8GsIb6HiVvXhVE3lVXK9RvNgVSWT4lB6fm6GkhtHeexGsQH6q2K7wvaj2GJRKSvy6Zy0INwIzYPIIUeNCRBy3GyEMg0amW1TcptH5vOO4H0c7y/UVVXNg/fnlmdOR6bCRqQZOM87grySRx2P56h3eZpJG44XhGVhhaIIn2V5ZJke2ZZHiRduoN6hDPX2p6jnDo98FAQVPBpYlqHsOo/69xLVs0bRILtg0LYDPEptNKn1mRj7PuL4K7ajuChOhfZZbJ+C7+jun88VvLR5kAwUWlhEm4/2qP0Ri0bmExU7LIovztCCzfPJkX6COwPcQSaTJmflalEZv2A+md1dfL5BGecOFEWXzEKJK9L5M9IKhQuWJEBkq1U0B8QOf/dtY0NWVOHDdxK9hjU0phLIWcOEYgpMhmFwzl2zIdEhebwiBAozZIRHQfa+//3v77BiCBieoyDk0UdFj2u0MTvnnHMmbGasw7IazSt4owZR3iQatsgfsSm5yZB2EBYltrk0vCTDIbv8rDQVDlpM8d4cuUkRwhO5cXC55/gYD5Cs6nG4R4R9RCGF+E4VPeBwoAzZukmbFTsMrKi69WOimwWb3N56307cQrsv2MQ2FqP87LQIma/aQG5biopdMPa1eP+NzIlRrguqHSqeDXJj5SIKhGHZciTmk4cuEHHivq5OkijXaVKxFVW2LhXbE6J1WRV4Jx1GTluCirNbOMRea75aQIW0NVKiwT2l4S4bYZcVRNyIIBwVt9DwzmcFD9Ps1iFasscmeuZlnVwRDGuUZL8o+kG4ObUFoVrccBB5KZd/F/q/gtwWuj1y0x71HehR73KT+vcyuEp48JDZwjokk6DhU/alwYNRaexT/wEuzw+yh/XactLcnROahQUKQsfY77ZN9tzZHJZFm0AXKlo8RvbT6/hcBNlW3WG4Gw1yC1UerDQNN+fOrv91MkyNfrXKOBm9hjXGDx2Wrd+bFSobwqKYli9fzsUIjQAiCGKmihbwN/L24JWHHq8HH8zu/du9GOLhhx+mvffemztlgOBhwt8gmA899BBNBFq502gOmTTNvtOldSdY5GVcMgrIcyNqeVZ4frWsHCIn08JhO/bAg7VEW5LJHnptMnEAEUybZDHBQ1hXJLz7pi/ztkS1KyfDc0hXTBwWhOLHVbaK/akcvekYaNhxYNuRbIq3ZWzYYeuK/KwUFdqQWwcyZ/F+4hAn9llc7jdfkroEBnmxf1m9k/mUHlqUDvoUGxZ5WyDj+Ew1OuOkRF6mWfTIKoqWdt6Jh9U2L44Cx1vRoUKrIdbPLoeLfQt38ah5EJWC4RvphO1QwcENg/D3M4cKZKdBZBNcGQ57F6vfp9xsIjOHAiGfcj0owhC5eGIDEhXbPUr0mTS8wKL4gE/puEXFthbKd4BIlcgvyKIgPpbLFi3O8w4j+6a7aIcCLchMm4y50kgYIVkjxeSLgUeEbLHP4F85WiSfbJFHm5YmraqCVlbBN9P3FubN6EOLfrYaE4SOy1YFwqhXXHEFFzAoMrVixQqugkX+3Kc+9am65G7ZsmVMrsbTCzaq/J1xxhn0yCOPBMUQ+PvWW29lD7xm8Ja3vIXDuLBVQWszVRDyxje+kd72trfxssYLTe40moNlUvaO1bT098KV/smvHU2xYaJEf4mKbTHatryVc5KKLQaZKZA7i8N5nGCfQW9aT4ZghSEsDJIN9OREKl0Cb4jQatBvFsamJZgamxV/B31qwQ9ldwuNiQOtn7x0jFLrhslct4VGD1vMahtUOuwntPLiYgQUgqKLHNLyRlU4VhQsgEAx2ZZkCiqtlTfY4Hd0NphTjItobCi4Zx1F8T/dUbEOhQ7ZwaQAcmaSPeKSPVIk4/Dl7LMX7m+L8C0UpNz8ForfcCcXbcS3FclpTbDFSVH08hb5gFi3uEcW1g/f49jUkhStrlBYgeclz6LSnCLnmaH7iT1gkxtPUuejJRpcHOPflNpo0MgePrkZjwaXWMJ/MQ6ShK4OJnkJj0olkYeI32DmS5TvSfCx6pcQk4ZxMJgd1GaomwYbI7esEcqWIkDbHVAK0aUC+bAIsXJfXZvJvZmIM7Fjkjc8QmZPOxmjRfJak5w7iW1jwJKIe0erHtLwk2xefVTKncYEMRXK2zRU7q666irOVXv1q18dvHb22WfTQQcdxISvHrlDfh5IHVqJTZTcoRgCBRVof6aKIQ477DAmmM0UdAAopggTOwB/I0x85JFHTmi9dFhWoylggEVC9Kb3HStesISiMbQQgxhCcaicFRcOEAKRk2UKQ1v0JI+LEK6dhzqDClj0ARUVlxyuxQCiUnlCPWeh5oDYBXetgZpXbjXWtMKjMQaoljTueIjMLQPU9/xlNLwgRkMLUUkqwqvIK3MyUFxFxSeHO2HrFsOjJxQskCdUpVpC0fKSKKxB1awg9tivxazBVbQ8nX4k5c8uV9I6CaJixqRii8l5fQ7UwoTwV0SFtHHEgZxXh4n7wM7O8o2D8/wj+DgrtsJvTyiDynwYYFsUKHemRybURd+gomNRzHTJNjwmdiB5drpEa87sJGdeJ6uGrauKNLgoxp52ILQ99xXIS4qDM9/jUnwA1aYemXG04kIPZeSCCuuUlmdL3G8X1bjZDQ5R3iIr6ZKZwLyoNveo1AI7GaItB8V38M4Wv8E6aD82oeaez1z5apMPcpfNsJmxCrX68KlE8VLSYgJo5EpEKjzreORjH0kl3Wprq//dyBvSHWM0tgPQ1xWh0SgOP/zwpjznYFdy0UUXTSj8ie8+//zz+WYJBPOOO+5g1Q4dLJoldgBCsps2bRrz+ubNm1lZnAg0udNoGmZnO6sjDFdUSxbaQQRQQUlsaowBLsibM6HYOazSBVWVspgCZE/NA1WHoay0VLWjDPkodY4JoJx0c/GpQ/7Mw9mUFoQpqICVKh3niCXLpEm19BLzgMwJRVYVxoDgITyrzI0D9Y8VWvk8IbzSRl/yHBp5+dHSKkccEy7yKWOyaCZhk4+OCK7LNjfY7wjrQ1nE99nDJc63ZBVXKrx8I8Feeyp8KH6jYfjkega5vsl/o7BCvGYy8SuCm6CLSkeK7JES//b2R4co32FQvitGsV6bKI2DG+ockWl5ZNpiwgpAJcRvG54XIyo5FGMVG4zPF/OCAFu4u0E+H+YVfnvW/Dk7PucOHUdkzhxbmsjz1Vu3kbwtveTDEoXPTexYGYJFqL1F2KMY+RIZuYLwsoQ3GLpLNIDb38/bRWPyHSomO003nHfeeazeRfHtb3+bLVIaAQUUIGXIr4OJMQyRw1MjG5XrrruOJguofuiE8etf/5rWrl3LE/6GzQu6XyAHUE3NQt9KaTQNv6eDQ6+AlTMotUnmEElFLbVuhAqtrZTc5lOuG6E95C3ZUrkxybZks3XkLGFgbUd/TnHFMZGHJ6KzQQRJqHlC5TP/IdQ548TDxLrEyn5mGhOHtWQRZe5YRcV95nOOGNQ6kDBMbOKbkT5xat+Al0FIxbgfF+FYAAoZK3iGT14bmECM3KTIwUOIV5BCYTbN/oRQAGMGExwA5E50joDtiCAVKjyPSl1F+NmKhQmoQbHBEhXbLe6KAVNhVocdrDsqfNEqC8QLghVy3xzBUXxB8EzDpZRdotFinJyiRV67S1sOSVPPfaNshty62qEtR7RSzwNFynfZtPhPo/TkeQnx28GHbFGkkUwVaXRDlijhsaOPVTRo7Yvnc85efMQjqxU5bUI9hO2PZ8rtBBsfm2jduQtp/s/y5Pb2NW65NgVAAYVKPhTKOM5Fg/yVz7Jih64fdu828pM9nCfHuZTIgcwIOySjf1h0Mslm5P6R4dlGMMyKClqN8WMqCiKmS0HF+9///uBvqGYoXkA4FHYkwO233875diBujfDlL395Uuty7rnnsh0Kcvwmihe+8IVBn1xVkIF8QADdM9RzvIeq2magyZ1G00Cz9fQWcWDtefEK2vzuY1nxMB2EWInM/hFKbUmRmxJN1RHSy42IPBvYZmDwxgAPnsBKjySFmFc0oRd2EgxJ7ADr5ruDdYjd9zS5+y8ma9Qgt81mYaZ02hHc7kpj/EBoDYM4csQQigXZAung3Dm2pxGkWyhzgmGZRRATVfUC4if+Rl4Z/vlQ7jgXT5A4/h4cBojmwV5EcgFVOYrnOD5AiPi1OJEJYuiLUC0fH3wTII8XF8ecT04WUqJcBfZKNAJlWRRJyPA+Di0u3BG8BgQPiJsuWYZHS193L63+1UFkFbOsAArDXnSV8Cm2rcDHrL1+G/mxWbJtHtQ/1B0UaXgoSfawSaUOlwme4Vs0tI9DHffbFNvsUSaTp0IJEmZoUOXKCrmeuAK3tpBZKHKXl+2ef1coErVmpQG4xcoryBsXKuVyostMC3z+ZNcXbMaCw60BUZUM2xy/JSOUO+yXwRH+LHecqAfdeUJjCoF+sGEoo1/lK9fd3c0TCiUaAVWpkwFy9ZDX99///pfXI5Op7EBTrTdttRZmUw1N7jSaBnzKzNOPpMHXHkOt166goT3VAG9SciuR29lC8b4CudkYqymxAYOVIAyWratcGpkLfzqh1llFocxhMLYKHjkZm+J/KfcitZbvI8NBHoXvU7gB+Yr7iYsOzz6K8/bYCFlj3LAO2JuMDVupeMAiGp6HEKLoHuKwpYlIcmRyBqUphTJYnwsEPMiqGVRammQmHVbGEKZn9c4zyMyZTAA5fAteE6pgFYqgzM2EAoddjOJMtlMph+OxX4tZQfRErqYgdfkuQeBa1jqU74xRstehzUfEyFuDQgyiUo+Yj6t7S4KI+dIKBf52aD8GGxQQPDy2nyV6Txa3ppjc5rvjvB6j3RZlNno0uFeGOm5ZRc6SOWzgbXYXKNlvkfGPDG07ukD2pji1rjSo72iPjEF4+7l08P6r6amnl9K2pTZ/HzdgQc4fwtis2pXTCvBda8+eQ/P/YpM1MkrOs2u36z6HebDd08nedcid8xIxsjb2kQFCl0qRCcKXRK6dPB4KDufaGXGbw+RIQDfQoqwtyx54IIvwzNPYAeCTQxdUbA8y9PTTT3OrLzyi2hWWKH/5y19o0aJFXMXayIYFvWVhnYIpDChtzZA7mCdPNXTOnca4gBZPQiXBgO2T1+qw6pLa6rEvljlSoPiabWQXBIFDiNZEP/pnhQVCoY248AKDNsKzbIsCFSVE7AD3ocfJffAxonW1HeyTf7iD87MQqtMYP9zWFHmLZtPQHkiqE0QDyf5OFsnyHnlpl/yky8QunimShQpRaQHiO7K3bEHG5S2EHSHNSWVP5rupPD1W2GRYN9cjqlpRdIH8OM7FiwlVD/l9nH+H0HC8/Hqx1aBct1TfZIi4f5lJVt6hzodxLJFUkaG4QZUSKiMIJ/LdEBoFoNSp0OzWXPkOe68LbufH/j1NvjGxpIAWG/GouM882raP8NBzhmO8HsMLieLpEsX3GqS+Qx2KbYhT61MmJdcOM2nMHZKjweUlGQH1ybZdsmxIjuWrrsprxG9dc3Y3rX3JIi52mChQSdyMd563eq2ocjUMsrah5D0uJl4IJMtyVSvOZ6N/UKqZBufdeV2tZIwWiIZgm4LqGp0bsSOgc+62D/75z39y8QNCub/5zW9oeHiYX0cF7Mc//vGGn3/mmWdqTitXrqSdBa3caYwLLT+7jSsd1190LOfJeaMWkzj2J8uX2DcLbawQykIeFIigFTdoaGkmGJjZwkQWS4j2Vkb9ROw64HCfyprXaMoKA7D3WkreaIlyC7OiuAXiGxMNYR8iqkyJrLhLbtHi7g7wikOjd98Ugz/7E2I+aTXi5aHKiupY7Bfk66G4QnUjgSroI5ffFOFfDq+WRFc59s4TBbKCvElfvYAkyipdoyQ+B1LnWwmyt42Sb6SEDU9WFGZwGBkkFKsl8wABFE8o5Q4oupXWHCCbqISF2gxyh9nyHRZlnuyn4ROTlF5n0MieonI7s57IPcChrswIPbuqlT8Hgkm2SY5n0tK5W2j9QBsLdJxzpw5RDm2HWqSh8ET1vk0QDezXRu0DC7mTw7h379PPiv3jNrYk8T2PzOEC0SjM/JBTwcmJ5He2csEFq+EIJWPF21oCdmHmHXIzcTKlqo4WZtU6VGho7EjARuSXv/wl59kVkRMaAghbo96waFOGPL4W9FOXOOWUU+jrX/867a7QkkcdcP6JRlX1Lr3Fp6XvX0HptWKAHFhiU2lOK/lDw5zHBQsUqHKwvkj1emTnpDu/qmT0y+E3+JVNBKMvPVrYqcjKW436MNE7Fnxnv72psKCd243Brgb7A0oaGxJLUsfzx4TalG7NUTpZpETCIdNWIVpZ9ILCAuSzMfEDqUKoT4YefRl6lRwKYc+g76wMSUJtc1MiXBkodWnR4QKTqK6Foiies9KXJBpZkGKfRaiPg0sNYa+DMCKaKihix72LPbJjLodFEzEUVQhiV3ItJnvDNywNtk+x02OLEtVlY2iBSYUOg0o9GbJyRIVOnzrvsYP1Hn2yjRzfpNSSQSoeNsKks3/fFsq7tgj5pnP8KPx+hXoHGFA93XJYln83KpNNWAuZlN9rNlktLdymS3V4aAbGrG4yEWqv8Rkrm+VHd3iYzL4hYVgMe5JCQVSyoiXZcI4LJoy8I6qVYxY5HWnyEiKdAtY09uZBQexgdlynv2z0ezUmCX+KpmmGn//853Tsscdy2y50doA9ycMPP0x///vfqa2RRQ8RPfjgg/TiF794zOsIzaLH7O4KTe7qwMvldvYq7HKAaidaO4nBie0cCmJgQmsmn/tpouVUOYEanl+cyyW5ctB9gohSvxPhsIkAqmB4WRr1AYXFXrqEKx9RgeymRGs4tjpRIpYsQsAjSAkISTzmcusu23LJAuFLOuztZsRd8iG7qUIYaWbM3yU7MaCwAst3srLIAUQHqhgEMG5dJrzkGErJQrhStjjzYzJfD0peyIYF4fjENp+2HJYhNymMk5PbVDFIeRDjkChCxobPv4F/mmxBBgyMim4MAH4GDJoR2o0NCUKJPrObjkrxcp02lwb28mlkkcfztT8O3zwR/HA4PC1+Q9IqW344LtRCEQr2ID9CDeOqWmnEzYUn8jdJ65i+/eJEe8wjd9EcKp7SuP0RYM+dwwpc72HtNYsy4GkY9IPduIV7RlNemDpDgUNhR+BFJ9V05N6hBaCVE32djafXslWK3ysKKNRjPYBMakweuv1Y7Q4RV155Jf3xj3+keDzOOXOPPfYYV54iZ64RkC+3YcOGqkUb8+fPp90VmtxpjAvpdaNi8Bv2WTnb49JbOZw1ssCnrQfGyEgmyNw2yP1EkVMnrCwMynVagYrDgxgrNJO70CR/f7s0Myb2S9NoDHRiKHYlKdcTE32AO2EuLFUyKF5Jl2LZIsVSDqt2qUSJWpN5SseKlIo51JLO05zOQZrVOUjxVImVu4BIob8conUoxkDRAlS8mE+FHpcKcxwmjGx5UhDkToSAheKmfPOUL57KRVNKnyB0Pqt8WNdixqDsuhKNzCfa8wMrqH9vg30WUXEbWLaUDPIG40yw8DtAsjC4oQoYZAtmxo5r0dBfhEnoXu++jeZ98VZuO4Zc0UQf0ba9TRo9JEfFNllcMi9PCw7YyPcTuW6iwRU9NPpsC7WvSDIBxDEP5Q6AMojvxlQo2OQ4ohLXLInQtafIa6KsWrJq2Ea0+pwuWndqC43OibGCVy+XDhEGfzRHo8s6KdEPc+U40bGHjJmPO1PYMSb5IIBsTSLixiJvDo/Do9xrGIqdUULoNidvBGxRUbvHPCI2P5af246wu7q26/I1pgdQBHHWWWfx3yB3IyMjXMgAaxJ43TXCq171KvrgBz9IGzdu5M95nseVrx/4wAeaslKZCuRyORoNteZbvXo1W7TA3mWi0OROY1zw7n6IWlfmeDAanSUOn8UfuZUVmuLhKFd0WBGwh4vcfqrYJqobUeWY3oiQlBysMZ5MQcYnwnHhcINx1IEcdtSoDqc9RSNzbMp1GjQ8XxhRI9cLXSWoo0hWwqUkiJDlUVsmRy3xAiUsh9J2iVoSeZqVGab2RI7JHtQvbq+Vs4hyNnlFq3K8V1cX8Ia8KQslfLbI4S4mKMiRpI2tU2Dui79V0YTqdiLz9wT58ak426HROVLhkvsd/V3XPk8cX7KAm8mdkS2xcpeOFykbL7ce40dCBa1LfUPSbE9i+Ogcm3ODrI0uLpGdcKn1KYOyT9lkrE7RmkfmCLESHTA8ovg2k7tsoFgo12VSzokF+Xwgj/lcnCuKPaicsInhnEP8TjFhm4Dg8e+TYVqlQI7MNWjjS/Yie5+lnCuHbh32nov50TzsAO7a0feKQ2jgjP0o0VdgJdxIpdgEOgorkw5UPXjqgQS6W3vJLyJPNiYMjeGj1SXDqLJdICxRzIJLifUDiGfzc6MDvjlOQ1WuYeeKBpW9GhHokOwYoE3XkPRQhNKmOk309/dXEKZ6yt++++5LCxcu5GKK/fffn0444QQO9V5yySW0I3DOOefQj370o2C9n/Oc59Dll1/Or1czaG4GmtxpjBvGf+7jR6gE5RdFc3ajp4v8kRw3GmfPMSSfb3IoPuizfQXCUcrjayr6wqKog33Q1IULitCjT0x6udMSxxzMCgy2FUKlQX9Y6WEHEhOLudzJwTSFbUjCdsg2PSp6FhO87sSICNGaHsWQQ1awKLYNyZQQl3z2uAtCu7D+SHhsfcJmt3ifOzMIMsMVrcoaRLk0qK4S8MZNyo4TIJ4gklgeSFvB5HQA0VVCfNWy995GVs5k0ofQJ+ZFDly2Nc9FGtyJQh4kIFz8faimxfeAdIWw52vupdwsosGlqA72aI+XP8Dfgxy/zDqirvtFaJW9Gx1iCxaIlkzObOJQLSuEMlzt5fFcCF0ongAB5d+vUuOMsEWKVDFDVcFY5sCBXTR69hGsuo7u00OF2SkaXtLCvXtxg4NzzXz8WV5c4ai9yB4qji2ikMqdUgFB8JgwgtiN5siAB55lktU3IlqTSVXPgHkqfCjzBbZPYQsUFE4lIavWB5Y9UUyGGE5H6LBsdYCI3XTTTfz3y1/+cnrve99Lb33rW7nX7Kmnntrw81D70DoMCuD111/PrcMQ1v3xj39M1jj6IYNI4nMPPPBAxdQM7rnnHnruc5/Lf6MzxezZs1m9A+H76le/ShOBrpbVmBA6frCC20dtfP+xNOeKWzlJ3O1NkDOrjYxn17GlAnLicC3hisP1DjdMz671aXiBqGrk6sJJIv2b22nkZUcHhsf+XQ9yO6SGpqozEMiJLLbZ3FIL+Y9B6DPlE/UU2JQXZA42ISBwCGNmY0UmKTD8tU2X1S78nTdsUZyQwn41yRo1KbbZ4mWCvLlZV5DuAnK2QFwCRs9Ex8nKkk7cEEjrFNH5QiRRIhcNpJDDsSjQwOdisn2X5VNy/jDltqbJ7i9ffN2uEiX64jQyr0TJ9jwVnDSvO0gqyJ3426O8zJODLQrWJZEokfO3RZQrxanljKf4vcUfvbVi2/Xv51Ns0KBCl0vxfkvcuIAYxmGXIubBayCFQ49204KDNpRtJ9iORYSEzZwlvP/AndAuTRZW8KZgnz+RRyrIoSgQAeFF9xC0NENuIfwh0dYPRt8glsidxGuoLEdOJcRxa0s/P/LXt7RwCNaaP5fc9ZuCvDsD+XUYvEDe0iIh1tu8lWjfJWSt3UrFZXPI3LiZjHlt5KZiZKK/LCri4WvXmiXnMeERWAv2vLnkrB+by9Qs2NNSo4ypUN+moXqHitZ8XlRsf/SjH+WWYLfeeiu99KUvHZfyhvw8qHeA6hLRDLZs2UJvetOb2BevGprpKAFiqCp1EYp9yUtewp6S6LgBkjcRaOVOY8IotJmceA5w14GMy03GzWyGjDUbKNlbpM7HSlx8gRZOqfU5GpkjzW15MJ+aK43pQtExyO7pFutimGTvM7Fmy9MZTlq06hKECWTPo1Kby3528YTD4UsVwgQJak3kufgAZC5tFyjvxmiwmKTBUoJ6RzPUv7mFfMfkHLLYkAx1oj/8kMFkzxxBBwRfhEcLsvACNwEZUZRhJuCFItvOKdUqdEUSViHSxiTr8A1EvCPPn2tL58lIOZTeUL4Ix9Ilyu2bpz0XbxJtbjsK5Zw3x6KBfIqKjiCDIHsIneIR1/Gtw1nasq1sg6DQe/0+/GgvGKHCoiL5aGkm1w3HPvLzgi4ZRSI37bPPXq4YY5LMqqDktc5IjFIbsL0gF3i8LHvU4Pl528VC4VnVy1eqeCCRTgL5kaL3buK+VZT4230Uv/FuSq/PUfKPokNLaW4bmUWPSovEucC/dXiEFTpnzfpArePw7MJ5ZKCNmOuSXyiQn0mSsWwPVt29OZ0UX7mZjNk9cmdI6ZH7zfrkpeONj7dJEDsNjWaB/q/z5s3jv0GIYG3yhz/8gcOaCNk2AxgRL1++nJLJJE/4Gy3NmgH6vyKUCp889Ka94YYb6JprruHOFViPZrBs2TJuYbZmzRq68cYb6bTTTuPXN2/eTK2trTQRaHKnMWGk+jxqWStyeJDUDmPbjc9JkpFJM8EamZ9gUsfhsbUFbjoeHy63n8IgNRVgSxUUaGzZfcvWtzeKZx0lerzKikzObUMBRQoWNT6HWKHWIXSJnqvIT8vaIq8Oip1l+JS0SkFoE+QvthUsRLb8gidegSjeL4gPEzrMCmVK7malvAW1AeALeF/myPHnVG9h9lgr52diPr/FYUsTO+5SJl6gWNJhe5UnrxGth2L3Zoi2xak9kWeVDhYoWARUMIRikV8HwlUs2ZxCoDzvMCEUHYuPbWyv8vMQmt3rTXcxKS22uxyihWKH9S10IqeUaHSeILII1eZLMSaVogQXrdlMMorKvRhlyKqsWOwP/D5W7GRYmhVMmZfKr8kOHjhn0DqMsmm+iUKc18yhKa/YcE4mxvmublKQWA67Kk9JVLuqv6HYxSzyutvJSCTI6OrkbhXIyYQdCsyL4XlHNgqhzHLaAypuW7NMADV2NIwpmjTCuPTSSzmUix6uv/rVr3jC3yjIwHuNAMuVK664go444ggml3vssQe97nWvo8suu4w+97nPNb0OKOBYvHgx59sdc8wxgYp36KGH0kSgyZ3GhJF5up+Sm8t2MXu/9U4aWezygOANj1B6Y5GSfQ7n3IGAOS0Jmn3DGh6wYDPR9e3K0NdEkb7uNsr+/Db+m5PMe3vJeVyE1zQEEM6D5yD820bne+T0lMhoKVGyLU/x1iIlYyVqS+YoaZc4t641VqC45TChi5sOlTyLbNndAY8jhTg5rS63GlPqksglg30ISF6oryzIStITlbUpV+TA5cFoJPnjSKzIOQOp86COIQ8NodmCJIkgeDGP/fYQPs47MS74gDcdjYow6/zP30rxfpMeuH0pFUdi1JrKi0UbPpVKFg3lE0xgMwkZfgahs11+H+QvERc3Kk/+4Ah+XP/bA2igv7LYAn1o97rwdpr7pVtp9pdv5ZSEPT52Ky36+K3cb1mR0+HBJOXycfJcgztZOCM2e0Li2Eco1eqDt4rs3VoU6h0KM+wRk6ycQbGRshk0bo5UBTB7/cWJhg6dR0On7EOl04+kYleac+mKLziSUiv7OK8ycdvjnFvH5A5ETv2NnDvfE4Suf4jMrf3k93SQgyIK2W6Mw67Ir9uyjdxskmLDMIxGWNwiSsTIbUtxP1oV8tWYnj53ICZHHnkkhwvh+XbuuefS448/XjHPSSedxCHM8PSOd7yjYh4YC6OaNZ1O83IuuugicmC9E8Itt9xChx12GCUSCVaxfvjDH9KOwlVXXcU5d/i9Z599Nk/4G5W23/zmNxt+HtW5+F0AlEKEaQF0vUAuXTN42ctextsJZsxQ/hSQMwibl4lAkzuNCQNNw8fcwXtEG88QeQux3lFK9ObJcJCvVKBYf54IlXmstk3NOtizZ1XaoPh+UC2rrRTKcGNC3WSyAFHI9lj5yqQK1JrNsYoFgPzApw3EDiTOlGwFj7AOgcoF494SwpscmjRFBTTy6DKyWhUkj6tcy4UVgmURmbbLHnkcklUehUH3BkHyVEcLhGE5TAnyKDs9oJADj5wHaLsi7FssqxGFBSXyZhVo8fyt/JtKBWlL4grFDoQubsPMuFxYIX6f8MMDoNCp1/zh8RUEIFePK8GLFrnovYt8O+TRgUgOigIM/m0eiJQpHuESg4II7rMsCjf4b9n4AX118bry++MuLzbIs/jdsYE8mUnhXQgD8XxPgrzRUdGtAnl9qZTIr1MA0WvJkt+S5rZjIG0ghG7SFj1l22QYKJ0iM1cgM1ckM++yslea1cLhWZVvx3YqGtO2Lde73vUuuu2227hgAebACBeCzISB4gX4xKkJilU43wzEDl0jkAeHcCWIW1gRQ5suzHPyySfTfffdx2HOt7zlLRye3BEolUqsukVx+OGHjyGh1bDPPvsEpPfggw+mb33rW7Ru3Tq6+uqrae7cuU2tA/rawnAZKh3UP4WjjjqKK3knggkPsf/+979ZeoR8iB8CoLrkP//5z0QXqbGbAU3Ojc19FfltmdWWMCuGOjCSJ2vNFooPFKnQJcxi3fk9TC5KrVOTb+ds2kyZXwnVDvDufYQfNbGrBNuJpGT/1qzLalJP6zBl4kXqTI1SR2qUSR1bnsTylLJKlLKKFAOpkxMAUrVpuEVU3YGgyRZh6U2yO0QcVaZCbfIyLhFCsSB3cUEmodihnRmqatk6pSTbXElzXxRfoMKWw5SuVK0yDsVaC5RMF5mYJdCn1fQ4Xw6+fNlV5ctY+6whSmaKVHBtXtdkqsiqHaxdHOTdjSDvzuYcPCh7UPAQ6oWChzDq/nfb3LVi0+/348/gN47euOe4tjUMu60hmzzHIjvu8HLMTCnoncvk2hU9eFmVDJ0KXIQiyTLIONqcYRtwlw704uV8PBFe5xA7Uhsee4Y8KG0oqmhNsX+hUuxM2J/gvVSSzLbWgOR520Rbv+LCTu42AZNimBXbW4fIT8bImdtJxYUdVOrJUqk9RaW2OFkDObL7c+Tf/kBwYxWGvWjBxA9QjV1OuYOC9MY3vpEOOOAAJi0gZVCX7r777or5oMjNmTMnmMI5YggrPvLII1yBesghh9AZZ5xBn/70p+kb3/hG0CYMJGjJkiWcI7fffvvRhRdeyEpWPcUKVajwo5sKnHfeeVXtRqDcvfa1r234eYR0lQkyetGisALFGahyhc1KM0CeICpk3/zmNzMJngpMiNxdd911dPrpp3PyIFycC2hfA7f3gYGmf4zG9ADIlb+ll6z2dn4+7zJhAgvFwEXVbCJBdt8IK3he3CZrOE+z7ipRKpQIv13Wq7eX/FldmuRhWzz/CM63Qyi82OFRvKVI2VSBFbC2eJ5a4wURhkVFrOGRbbiUsUTOXcJ0WLXDhNAsVDsQIg5hspxG1P0gyJggG/CjK3W4VGrxyRwV6h5bmHgGuY4pVDu0AwPpY9UJ8Vw54iBki5w8mBnHfFawnBawR4OymQK1pgq8vvDY60jkeP3hs4dcN4WeFz1Ge3b10qbHemjbUJo95jzHFJWqUplT3SpEoYXNiiTbuhDRTav3oc19rRxSzRdiFMuUaPAvc+jpaw+lZz95bFPbe+Enb+XKWsqL7+XfmXRoZIlL+bkIccouHdhmJpE9KjeltFXJbPAp2UuUfZYoPizsX5jYSU9CkZMnlotOMFwM4bpkj7o0OjfJBBBVsCbMj2Fd0tXB9kRQ4tgOJWaTYdtkFBwyiy6VOkWYFeQwt7SLCnOEz52TtCjWl2PiF9+Wp+KcFm4/xtsQoV7HHXOzp7EdwfkNUzAR0eDgYMWkxvB6wPiuChjCuPbaa6m7u5uLED784Q9XeMutWLGCw5MgLgrgDvhOtAhT8zzvec+rWCbmweu1AIVLtQbbc889qXeSnojfkwUVUAwxYZ0RqoWKhp6zaqoGiFwgwUrtQ3XrnXfeycURr3zlK5v6fghkUDXxmxDqhlr3hS98gY2Vdyi5Q5NdsG38eJQdKxx33HFNx5g1pg+MZJLcffeoeM1auodQCXCiF0rsaWdtHeQqO1iktD0zNXdd1RD2udNGqFDDTDaU5vZfKEiQxRMwJ07KvDoUTWBCfp2CKcs8odqpcCzUMJAiDsuiIMEhSm/IM/lAdwh7RHjMucjHK8AAV/jf8Xrkbe56AZKF11BgwDYpKZjZSX88OSEcy6odxiLb4/WFasc5c7Eih2c53OlLq5Tw7yWDjNl5/h531GZi6ak2YCCZsEWRsWAQ1TAUGUNeIJaK+eHiknw4xWHVpuET2QMWOcWypx5JRZJtUCQv4jC2V54wm2rthw4cIG8gdaxihk8Z9p4DmS4XTiAsW8yinZxB5vy5RBlhb8L9nl2XvC295JUcbquIsCyNjJI1lOcqai9lk+l4IqQcRwGFKOhAPh9gDeZFUYdUxrkqBqbHGrslYPmBMKCaGiX+QyVDuBRjPEiQwmte8xpW5f7xj38wsUP0DmRHAeQkTOwA9VwRl1rzgACic0OtlmEI5wKrVq2alIr30EMPcb5fT08Pe91hAlnFa3gPAhYmhIybAZRMfBbLaBa2bXN/29///vdMChHqBmmGAogcQLw+3t84IZ87xJdhHBgFDhKUBGvMMMDM9Lb7g6fdV99KIy86itLr5F3HyAhZyP9pSdHQ0hYamSO6FWQm8ZX2vnuJyj046INEwi7i4SfGkDwodzOd4KkKTPjZoYgCYchZ6WEadWKUjeXJ8SzRrcHwmPAVPJun9liOQ7MlH5YhNhO/7uQId2BAOHe9a5FvxmnLYWlWz0Ds4HFnyHw6N4vQKipDZWXsiEVFO0aJTJHJjsu5eAYZMZeo3RUmyFLlY5Ng5Pi3FMmKeUHYGOsMhZEf0cO1aJKZN+jpnxzKxQ6Ac9J6sn/dRYXBBBNIM+Nwa7TcSIJVu8HRJJs0o7ACeXkgrK5rMGHF3+A1XsniCle3CA85YmKHlmQb/vdYmnt547DJok/cSiu/eAz/jtxInJU7K10ibzgpKoNRXSw97PA7uZ6kRJTe4lOhzaBkn0ejc2whtoSqi9G6LehN66EVmyFCsNkMDS2M02iPQYuufYa82R1kjhbJdxwyFi8kY7VQ1cxUkpyj9iU0domv6+fqWCvnUSlrM5FMbhghLwMDRJ/snNiP1miRirOynDsbHFOwUokodxrbF3zDMclsFvV5EIhw+BSFDPWA3DsQnWja1dve9rbgb6hdyDFDEQAI0tKlS2l7AR52J554In8fijiQM1fLcHjlypV1lwViuisBxPb444+nJ554gqcHH3yQ3vCGN3CxBnLzoOxtN3KHuPpTTz3FZbthYMdDItWYWXBWrhrz2ralNsUG96b4mr7AG8sYypGb6KD2p0rUv3TizvWMQXiqGOR3tZGRQ7KXR/ayPclPJ8h94FGeBb53sEexlu/D66Ben0nwTjiUc7REvpdHsYRL89oGuOMEyBKIHQA/Oyh3LnquGh5l7AKlzSK5ZFKMXBrykuTB3Nh0ODQKoHJ1oB1WKibn8fmmxeoSiAwqWkfiSSZHqGZN9OSoaMXJL5pUNGPk5S0mNDAzxjpxdxMocegt64D8+1RcWCTL8qklk2czZVWtiwm5gY5nUmxWjuipDPnrRE6nAgii1Rsjt6fI6xCD5YtrkJV0qZCLUbZF/AbYo6CKFsUVJWmRgs8i3Osi8uyIrhcIl8ZG0ZWl+W2f2mTQMG584h65tsek2km7VIQFDW7CYz4lNtrU9rRPpYxBhQ70qwVBJiq2msI3L0VkIc0hJqxXkPKArixQv1Ekw6FdtBJrb2Nz6mIHsflwfO02crtbyEKbsM29ZCycR4TQbDLB3Ss2Hd1KXT7MiW1yUibFhl2Rd5eKkb15ULAAq4Ufcd5UDfEkGnvdaeyaJsYgds36pyEHDp0b/vWvf9GCBfXzKmHjAYAfgNyBK9xxxx0V82zaJIy08Z56VK+F58H6IfWrGpAPB6NffM973vMeVrqUCfDuik2bNrHyCQIHQorqZGx3hKxRxPKpT32KSV6zpsYTInfYkEgi/P73v8+sef369Rwfh0/Lxz72sYksUmOagbsfwGsLIaFZncI6YXBI9uQ0OOl8UmjJcJNzbmFmW2RsHSDKCC3QOnBfch98LJjVfaiyfH+mgVt44cY85XHfWJAj5NNBrVO+dVwNC/KE7hCYQPJQHev7VCJBADkk64tCBZBDriZNeFSEApdyyUN1qCNy29LxEoc/R4pJyswdpkTMoQGQti1Jrp1gxa4AGxX43vn8PggWiB0+z/7WfrlCFuRTrKfPxG64FGdyis+irgKq4cqfHsqtwwAUMRijBjklkyOIIG2EcPJwnMy4sD+BiTGUO9GWiTh0C+sS3zWZCKLCVUxCWeOequOQTqCuxQZNcrJEXtakRLJEpZLJ5spYv+JInGzZmhX7B8Qt31lW8bh3LZyFckQlNJMoIMdOhMJhVGyP+lRsEYUTXltaVkODQNoUR8gVoVq0FUunyEvGiZJxcjqSojUZt6CzhA1fXhozo1ADRL09wy3GcM6qHLtq0CbF0xu+79O73/1u+u1vf8tWJSh6aAQVulRVoii4/OxnP8tmvMouBJW3IG7o4arm+fOf/1yxHMyjvN5q4QUveAE/osADfGSi5C6fz9PXvvY1VvCwntHw545INYOvHqqD9957b+ZXr3/96ytyGzOZDP3v//4vffGLX2x6mRMid6jswAaA/IrkSYRoIeuC3OFg2B5ATsBvfvMb7t0GNo+mvkg4RBlyeCdhA/z85z/nBFEkZcKnJhrP35mAz5Rq3j1dAa85FFZseu+x1JJdRq0PbUVLADTxo+Q2l3r3s4UCkUiSV5B+D3UwcN4xlOx3KfHH8h0gfOygyJm9A+TO6yQjOYsTwqHgsR8XVZoao+AD7ZnQr3KmtTVCVwMUU8SyRZrVMsQFFH2FFC1t6Q0KJgBF9AAoesNukrpiQzTsJLnIYkOhlYkWyB+qUYFUzygrUl3ZERrsTNLQUIqcok0tnXlqSeRpIFFkT7yezDDnt20CaXIsMgYtan/UpG2HwpZEVKtyxSpMc9FVAl53ls+FFPDgQwhW5QNCYQTB60kO0WMbZjPBQ5cMR/rdASBs2TUgRDHuAessBEvyyACRy9mUT8U4Bw/kji1SQOxgvYIcOZBKtimB3Yjo26py5KCwNYvYkE9Wm+go4W6Ls+Ey8vDcUpLJo5912eZkcE/hCah66eK3gNx6ktAp+5PUVo+yq3NsWuzdL3LfnLOPInPubHIffJLs44+komOIcGoiTsW5rRTvF8c6Qq3WwCiZBZf69xWDIPrSZjaWKLFphHLzsuRlY6JlYEucrLhFdGtzOUYaOwihgohJLaNJIBT705/+lPO9QJxUjhzSrzAGI/SK988880zq6uriClYY/4IPHHTQQTwvrFNA4lCRCosULAMtwbBsFQqGLx5aiF188cV0/vnnsynwL3/5S/rTn/7U1HpC6VJYu1akHyxooDCGgQpVVPWiQhfWI+NpPQarFBSRYr3H851RgPjCeqYeoUVOoMoz3G7kDj8ePdxgRghZdHh4mHdgNiuqrLan5w5MFbFBP/KRj/CBgzJrsFoABxYOCDhM4wCEnAzp9r///S/tKpjuxA7w7hFVUJ2PFml0TkyYoqaSRMUipTaMkrl3Kw9YAy89lFp+WrsiCth6wbE8sMVGTXKedwTZfxMeZICxbYicdeuJ1q4LohXmoftzyMs44kDuMxtAKS5TVD6/u0B0PQDB8GWXCYfa46Ocs6aKKPA6gDKDmOFSATFAKa1aJHzaEJJVQM6bcroCIYM/3LotHdTZNizygjyDvwefK8SE7Qie5yxXdJXYEmcLlM5HctR/rBG0PUOhBggXHpGHh6rZVKzECiIg7FlKNFRKUtoWNgrcc5aVQNEdSwHqYsfjOSq0pbh9akmpcegMEfNYoTPh1wZSJwsuONcPSp20KhE2JdJMWPrxVRQ1NNF/Of8BVNga5KbEd9DCHCWSDjlPZwm/Cr1oUT3rpj1hC8O/SZA62KZwZS0UQBRY/EJY/lTUVSCXtS1L/rMuGxxjHZFLB3bI6490hAXdIi0C6rkB8ocliP3pJk0a3aOFb5xy5z6HzBFULBtE/9DEblcDH5eTDMuO5/PKHiSa4wUyherQeDxOf/vb3+jLX/4yhw1RpBHt5wr1GKHFCy64gIkLxmqEFhFiVIAiiHEb4/dXvvIVJklo/QVxphlAaEKRJ6xUwEWAlpYWFnrAU8K+cdWA9YNyiGKR8QKFEFDToLRNtlq3Gd6F7hdNr9tkVgg7V0mr2xth12YAnjtgu5BkcaeAMm1sINxJnHLKKcFBCN8cmDCiAa/GjgOMhEuGwUodBh8YHmOgMZ5eSwsGOmnrcbMDs9paWPfhY9kYlxPJHZPS15WJHcDELgqMW7bJYSX/8OXk3f0Qv6zUuplmuorOAkjQRz/X5XM2sfIGtW7f1k2UtQpcLAFCB4CM4e8EiaIK9V7aKgTVpcBAIckhVxQgdGRGuQhjSXsfDRYTHF6Fj1w2VqAMQr++wTl6PUlx0d1mpyl9v0VWwaeBZUnq7OrlCliQumEvIZPGDbZKyWby3N8WKp3Ktdsj1UuluFi32bEBenpuNz3ev4CKvklt95bzOFvSedp8WDeHMBGuNIZsoqw0kIM4J5eXL8a4opWJHUilYzDJ4n6vsrUaNg/4JTpD9HxjfB5UIGj4/r3efRs98d0jKf1AgkYPy5GxKEc2wtuwhMmD3cH2xOQbGZA5oeCJCuTcbArCt1FkVg/R8NJWyj4DB2lpfDwwSNTaQkOLktS5PkOj89LU8vBWKs5rI2ukRFbJp8y6ERqZnyLPAnkVI37qd7dzl4v4DXdO5FDT2I1y7pqatUEKAsgcRJdGACGJhl2jAIFERepEAAKHsf/zn/98QND+85//0Cc+8QmO5iEsXA/z58+fVL4e+Aa2Q7QGYbwAQcZy4CWoPAAVkFc4XjRN7qCANQuET7c3op47IHlwmg775cArBqXEyAfU5G7HYtOJ3TT72gfJ22cxGSWXvPYWMrwMGRu3kr+1jzp/vp62vaJ+z7zcHIRYRb/OYrY51x4VrqKjDyZ77VbyZ0AYvB7MW+4h97BjuUp2dnKIcm6Mq2CTZomJG0gS8tks6WVX8ETDe+65Sj6J7qxELXaetphZ2jTSQqPFGJO7Oa2D1J0cZfWvE9UG1EbrB9po357NTOzwmXjGoREnwSHV9niOP7P2+SblNmcoud6idtNj3zoUTEChG5TEEYUOqZhQ/4DuuNAKO60RVh6x/ij+aI/nOYfNKyaplC0T0L07ttAdz8nQ0q+4tPGYLOeOFVMo2oCLh8f5gQAeURVLBXl8QdEryAmkrlDuHjER1WTBZ8pk0O63eZneYJxi2yxyMmBwkOQcohGLw7KxAYPiQ8Q3Pl1PuDQ8zyJrVBRzVAOsSYoHHkO0ZAHnubJdi2mSH49x67/C4k4qtJmU6sqSlXfIGspRZvUGGjp+qVgXC6SunO4QGxl/z1h7j4XkrF4z/o2joTEFgD8clD5YhigcdNBBTNre+c53NiR3UPw++MEPsr3beJQxBRgzI1UNVa3wuVORRIXwetUCiC3C20hzA8kDr4HnnWrZtl3JHcKcYUaPJEu8ptp2gFzBBmU8JHCiqOa5g1g+lET434SBfLt6RoDIzQsbOMJbR2PyQA9TwNrYh41MJny1PJ97zqKvJTpYQKUYfN0x1PqT6qFZ0a9UGOWyR1uTQC6ef+/jRJ3tZHW0BRWzM7WwAgN4PCU6ToiuEy5PTOJCxA4hWADP+XMyP0eFZBGOVZ0h0vEiP7bFcvzZYTfOod6RtS2UnrOWc/SArtgI5+/h+1CBC+WwLZ2nfDZO6c0WlbAsG/1rESIWy1bfAV87FH6APGK9QfSwbiB2CCG3W1D1CtSSzVN/X4KrTBW2HruNOv/UTVY/wpFZrnZFey0v7pGXFFYrKJwI+tvK4wwFIdw9Ar5yKFzg4gURJp1ss0YUfRTb0L1C+Pvh2Pbh8wdiCe87x+BOHxymbUGVrEcxqHmGQZmNtSuQrKJPI4vlCYfcvYWzqdCd5Ny74fkJKrYZ3GECuX8pxyMzn6JEX4nyXeKksjo7yO3bxn+rnrHjgSZ20zPnbndBX19f1RZd++67L7/XCOAwUPjg9AEyFfbuVcuvBxBI4IorrqgaSkULtkZASBpFFSCY4FWINmI94BmIYpGJoGlyF05aBMt9xStewSuivGXwA/Ajmy2vngxqee5MtFDjk5/85JSsl0YZ8754Kz3zyWPZ5qHtqRyZdz3CXlxok2S6LnewaL9mBVkH7M25R9WAgRYJ7QiRLbq+t+Z8gD1/XhCmVSTO2xAi9avXk73XUvJRWZsrkLOquXLy3R32rB5y00QdmRwTrTZ7lEa9OBO2bU6aumPDTLwUuVPEL+/FWEnDa932EG0tZWleqp/6i0mysh7NTg2zR15nfITgkoc8veFSkloXDVBfIc2vI/yLZeFvEDIsc1ZymKdUrEirDphHJ3RtZNIHdW+wlGD/vLxj08JMP7Unckwwl2W20N7JDYSa2cWxrTToJWlxrI/mWUSHtKyhVUOd1G+1kpuulNbaz3qSnvjZITTvZw6NzLHJHgW5sqjUYpIH42SEPyXB4psIXIzR07UoFDvwU/yNogcOyX5zcm2B4AGY3GxQfp4rzJ2xusizA7lkH0KP3LhJsVGfZj1V4nw48OxZX6//vdmf30Zb33EsxQeI8t1Euflp2nS4RQv/7lJsFHl2JpWyFqXX58jctI0IFbEJvGZS249WBOcVCqHMvhEiaSGkMbPDsrsL0BoNBRlo9xXG17/+dX6vEV796ldzhwgURkAMGk9BBTAVbdBQZYyetMgPBKeC4ASyiSIU5ChORDSbUM4dLFBArMKmgfgb7TlQxTqect3xopbnDrxyEKeGehhW7+Ado/x0qgGu2uG2IlDukEugMXkg/2fzkT7lX1qgkZEDyHo6RXte+Si52wbIamvl6tWB5Z2UFfUXFXjmC8cwsUNjevh8NVLdqubfhWDMn0Pe6rXszg8/PHvBfHLWip7I0xnO5i3kpPbiytWY6VCPPUQxw6FNpTYacpNBazGl2iXMEodmWb3zTWqxckzQkJ/HRC2Ro7xr04L0Nn7eHRuipFGiUS9BhaRND9y3NzknDLLKBiJZ8mx+VMtfmt5Cw26CSdvJJz1JW4ot1BUfpmGrxPYq8K7DezBLBikccpK8LnF8tzXA3nvtZo6JHXBgcg093Dqf1rR3kD+cptWfOpb2uLRMhtpacpRZVaBSpo3snEFeHH1ZDVYtoZDxakmShypVKHRQ+UxJ6rhHLixJpqAOB8odlEB42xUWINYLPxJLdK4YFj+o1EpklQyyh0o0OivdtGUQxFUUVCS3EI3MQk6j+G3JrUUanpei7NoC51/6w/hxBo3MXUBuPDKIPfYM0bw54yJ29tw55IRvojQ0djBAgM466ywu7lDVpitWrGCj5ka5fgB6uWL+ZohgI0ABTCYrPTebAVQ6VfiBMCzy7lAvABUPv2MimFCgAdWqsCSJAq9NVTPfKBAKBrFDOBil0lHPHcS6sYFuvvnmik4a2Ej1yotRjq0MHcdj7KghADuTWpj/uVs5n8i4uYOev9ejlD20l7y9FlLptMOJFs5hf65Cq0kb3ze2Zyfyh+DZBQWFB6pJwt+8lcxWGbraNiAqeGcIEAJETluLKX5zq5ljU2KoaQDIGYD8OvytrFFAqkCCMIFwtVh5Vu9Q+dpm5yhtFXl+pfbhc/n5Jc6bQwWuKtRQ76viDHx2cbqX9khsZdUOr7dauSCvTgHKH3L1QDhHvATl/RjFyaUW06G0EaNR32WD5f0yG9iOxSwadNzpoqm9An6D0T9E8WGP7Lxo2cUFEjKvTnR9KBM73EiA1Nkgeewp51OuBxYoU7AjuLUXOlL4ZG2z2SjZj3nIUCC/BT1npawiH6C6NaomDxbtie4W+I6+Q1zuy5vvjlOxLcYk1klZlO9JcB/a0vLF1PJsUZDbKKxxDgkNOhtMJUAkZzT8KZqmGdCpAp0c0L4L4o5KD3v88cfpuc99bsPPI3xbq81ZM0DU8tOf/jTn+MExRHXEgOdvM1Wwqlcu+tGq33PppZdy+zGkn4XbvW135e5Nb3oTe8PA5wa+MMDtt9/O1Sp4b3ugkecOHrFOUOGQjAiSBs89EDtdTDF14B6WoRyCRj51e73pLtp84bF0w22HUGbBEK07Cbl3RLkz2mnZT/dn7y8MTH1vPlYMoq0yLcT3yR62uKk6t2lqEgjz0rrNZHR1kPP0M+V1zuU5r8heukQmnFtk93SS89iTZGWzZLS3saKB5ud47sqS+ukAkAZ0d1DFCXk/zora3Fh/UBGLThQY1kGgWGXjbhAmK3IgVx2xEa5OhdrX0TLKJA2fBUFMGCX+G0h35GjDxnay54hiDaiFUAKhuGWtPIdw0cu2w/apxczRokQvbS610oCTYnJY8izqTo1wjh0+05YUqh/URgC/ASR02EdbNKKMWaSDU6tpn9n70AODCcpGDpZ5LYOU3zJImUfjNHRgDx9L6JqFzmUgWqLCVNidoCIVShkU5/iwT7ER0Wu14we3T8l+UKogyDaIqDVk8d/4fvTi9ZMeWXmLjYwLPQkupqjuzz8WaPnnnXQYbTo8KYyl2yzaljap0GlwkQW6UKBnbe+rDqHcLIPm3zxEhl9JzMw5s9g/cjxAekM4JWJ7YsYrhDosWxPz5s1rWDhRC+AtsE3B59FCLZpz10jwwedQ1AEFEQbECiBlsIkBL2kEhISHpJMDlgdrFdjH7LXXXhwp3WHk7ktf+hKHOlFlsmHDhsCRGr532EjbA408d4Arr7ySpU147YRNjDWmDmFi1ywQ1jr80Kdp7VXLqH9voiK3rPLJWtdL8/5t0voTM5TvEjlI8GNT4JwnRK/GU8AHFaRQIFcSO17O8n24s4AzO0PmPx8g96j9yfhP2cfLHRklGwPbU/V7EO62gGJEBsUNh8nVoJtkFa7dGqV+N01ps0AlV3ScABFTAKkD4eJ2X2aRMmaBw7AAXlM5euyfB5JnOjTal6Kj91/JywcwD7uqoaWZWeACDhC1km/TfLufiSb3dvVNXsYe2W30zFAnzU+LPl8gmGkrz/Mj5y4Ocmj4NOL5lEfY2HSoH6qVXSK7z6b1+TZa/em9aI+PidAsCjWKi+aTv34Tmft2iyKJUijUykbF4jUca6zcFQSxMwvoudrAr2ccgJqGzYtcUrfFJXvQInvYFFWrBZOsosG+d21PEo3MtnmdxrX8LcPkpJPcTxdcO9/hc2pDYsCgXI9FyV6PcovQhQLtzExuYxaG29lCNI5TQBmCezsoP8+eN1d3xdCYcrxAdrpAU4ZotLCZgogf/ehH3A4Nn4chswLCvNUinNWgClNVWDZq/bbDyB0IFNykManq0u0dzmzkuQMg1v2Nb3yDJ41dB3O+fCsNfploy+XLaJ/LniJvfg+NLsySu2kLmVu2knvaEcLCAQNMWnQmMEct7mLhoqfmUPO3m+6jT9S0R8HBjvE8TOwYvsfEzt5n2biVi90BKtzHYVGzQFuK3ax+FaXyBnK2MN5HKwuiPZAiZSB0CLv+P3vfAR7XWWZ9bpuq3izXOHYcp/eQ2Bsg9N4XCGQXWCB0lrLUpSTUUJal975s6OzPsrB0FhJweq+O7dhxV2+jabf9z3m/e0cjWVaXLEvfeZ55JI1mRqMZje6Z877nHHHTIhClLWtm5ONhrwH1Zl4IorptT/bySCTpoI1vIx7HNlk5rHb6ZIzK/TkSyQYutqETrVYK+8tNuK1nLfYP1ksECl2yRL2Vl+s3WMNYZfdTXMVhP4lmsyS332paeCBICnlsP7sDewca0HB+V+X36L+kGw//eBXWfW4jnCEPpqtIEwkOp9GSJ0dFrQBkOtTo1sl5SHTlmXyMjr9vwVxMZIl0VyCxJIleA8W6EKEdItmjRsNUrPnHyYeQBJBj4JWfmp6Bo+NRLeIY5v6gWxei7WYgt9LEwGkeVv7ZRL7NRLFFtXn0nJVF4/2FUYRpVOj3FGC0tzKTCsGYTK75wrIndtotOy/4v//7v1ldn2aMk0466YjzuaLGeLapgtEne/bsEULJzDy2fswGswoxJvSOmsZUsfFfrscDn70YNXtMrP5NN4y2FoSDQ2i+x5eYBip0a36yD72XnoDB9WxVADIDQKpvYVolYmJ33IxkWZrKha1JwKxAjkIJjko5gl3l9AuhInniPDZllIXw8RSbHwgSOxK4jFESokfHK4keR6kbkx3yORGEjhDFJ5x1H07KdEajXnUgiUeqvH7K8NBg8qMhY2CGDAiBRIB7H14lVWLr1h2U2+XtUbGLx8Zdfg1azR657GE/HeXx5eX6p9YcxoHhepT9BAYebkA9dlR+h80rOjFYvw6ZW/Yg1boBXtZEyIcjCgrmQ5PsD1GztwDDD2ANFjF0ShNqH+jF2g/NziFbDS9tiBPWH2J4silvZMr1JpI96vtBMgQKBoZXYZQpZKrgOJcQRTIEig0G8qtDmEUT+RYTuXWh/AyrZCC3hgHJSRRb1iHzXzMjTXHN31JbY1isWOiGiuWCRz/60bO6PoscrrvuuiMy8n7605/KLt1kuPfee2UEO7ZJi/eLk8fxYl7mjdzRzDCRXTheKNTQGAtrRQFuTxYPXd6CjV8agtHSjJo9ORRXZitBxekuF4MnJlTxel4tiS807OMhDmIKxI5gjReNCfF+HTtjSdi4P0clzwl9lNkHVzUGJTjGFaOEZMqpWBLZyQup5I0cJfgVDRornT4MJNTuXOy6JXgLVAeVkkcF0IQbKfG8/f6A1wmRypalZ1YClKPdOkpsvN8kdCSWQ6ElJC9jlJEyPRnNktxxXEwi6vkW6naNNgXUJYroozM0DKWdIVbrZL+OGXbFUAJ/A8eE018ABobQ8YhW5Fa1ovWBEZI4WzR+63rJdfS56iY5eiTnjEABAu7b5c1ZHYD5ewmxY7RKVG3GyBcJTM4o8sgMP+6x8j7w9dZ6X/+oOrNp/bx85HRKTCOEUkNjEeK6666TKBJyF9aX0hzxve99T7jOJZdcMuF1aX5gXAkVPKp1LHGgmYPjWiZ7TAR6B0ji2BvLnDwSOU4pWav69a9/Xdq3GPvGUe2CuGXp4GCwXnxivh2NC2yNeNWrXjWTm9RYJjjxsjux9oPbkDm7F0FrI8L+ARx6VD32sbWg2cRDr1qP5F/vQ7JXxTvU7inIYnlsjFgokNgxMuV4x47PXwwjofbiSMhIlC7IPCSqVyFICFlj7h2NE/xebIwgeBmCl+mnUgZDHLckZIw3IamT7weOnPg1c/NI4kjGeLskespR62E4TKiu2iq2TrJHokazRlv9EDKpsrhxvdDCw4Vmud1D5Qb5mfzZd5dW4+7iWiF2imzaQura7X5py2BPLIOC2Ukc42+3nIKBE5gMHEi3MVW6dG+ITFeAdHcgZMoZclFuTGD/U1tkcX/9v26bda7deOAun6rTMwA7hNfoyf6fNWzBKEc9uTOEuIBdpZDTsJHqARLNVCMB98KcEL0g7aPYHMrP5ONUWpERM9OMEEU3xAHI8w3GFy1raLfsvOBnP/uZ7OfTmHnbbbdVSg3IZ2h0mAzPetaz8D//8z8SxcJ2CpK9+++/X857whOeMOF16ROg4seGCnIp3g/uANIYyvvCWDZeZsGUu6MlJnPX7ZZbRvd/amiMh9ZnPICO/zkFuXtOE8fgxjffgIc+sQVN9wIPv/0cpLrVAnrf5rSYLQYvV3E2LD3nAdL57fz3XwYHlsCOT60L0w5EuaO6RpI1FKQVIUr0i7pWAgmeck6SRJGUyWiWxQlBgKbIgcrzVjsqrZ2KH1U+GalaSvvh7ZPMKZOFOm+V0ydEL646K4YWOnwfDbxtw0Ct4eNwqJSfxmRBemoZlAw04lC+FqU6G6uSA3L/esMadHm1OC+9B1nDxeGgBrVGCausgnx9Su1hXNT4EH751cfi5A/fh8JL6nF4y4D0uu6+eqvkKpaaNoiRgBlv+VYTiUHGnUCIHQ0UdmF+30DYwz7SXWyoMFFqCSR4udyqFrYN08CGd1w/89suAqs+sW3EmVsAyrkEjPVFGGWrYiChSmiEpoQ6JwbKaNvZjc5XbEXTN9V17XVrxDU+GfyGrEQhTeaYnyssh1xKjamB486phg3fdtttE37/wx/+sBQy0KH6wx/+sHI+G7D4vamAkSu///3vMV3wOqwuGy8bj2STJlW6cFm2sOA7d2M71hgKXN1moaExEcHLfWyrKA0ED2zBo89D7X4D9l/ugrVqBQqnroSXdpDu9pB+qBfllXUIktaCHFQYeHzco2TBTKvxKkEzw1DgyBiWZE128EITrmFV3LGMSeFKmuTWsWu2KvssHsfydjgS7fVrKqNXIh6hUpxbl+iWTL34e/yZVNqyhgefhg1Y4nzlbXG/bt9gA05s6EXOTcCLsvUG3bSQyI2pTvT6Wbl9hhjXmgGKoXp+EoaBetNDV7lGsvNC0xDnLh3CROF3J8LbyTmoiVTHMPx0LbwUs+2AdI8vNV2FVkUwS9He2nyh97QE0t2MQlG77dyHo+FFmjLinLsZgoaQGPzdylyHLlhI1pXglm0xcHA0bQSGtGHk2y0MnZhBDV0qVcfJqRA7wjrYDTAc/KE9s7rfGlMDn6JZ79xhaeDZz372nN3W9u3bZfw5FoxXY2beZHjlK18pNWFjkzymAo6BzzvvvAldtDNdc5tTcscFQmbMaWhMFSe+a/Toa9c/Gdj8qrsReC78gx3AKe1Y+fsOhF09CApFJMIQfY9Ygfzfn4u6a2auciwZTGKqsAYtZFeV4JiBqHQH3UYhSNy3Ixni+JOEjWHCljHy7pHdsCRHA2FGTBdFw0EiJDFMicmBxE926TiMNQIM+0khgn1uVkKKOcplG0YMIYkw5XzTKCJl8HOOWh0ZtzKkuD5VQNm30JvPoJBwsLamH1m7jL5yRtTEhwqtQlK70jVoMvuQEjWQtxNitZXG5kwHPnXv47G2r4Q/PHwyzllJpWcY6SfuRvKnNaKMmQe74bRkMLzCQsOuMhLdeRiuj75Nzeh7RBmbXj6/k4eo+EOQPmQiv95TX1shNr3mplndds2Pbqh87gwDmc5QolyCVkP+RLh7GUbjYDFeWkDDHT0IDxxGo32k22882CesrXTJ+h2dMGtrF0y9M88/A8Gt98z7z9FY/Ljyyivn7Lba29uxc+dOcahWgy1crACbDF1dXTJK5d7cZZddhssvvxznnHPOlH42s+0mMqUy0zc3Q7OSPReSKBcAuRjIX1LnymnMBptediu2f/UR2PTqm1B60rnIPNgjfbDB5nUwd+xD/qRmmOUQPsvfF4kb9ZhigvtnXHCmjLzTjgs3oImBWXZqREpVrBTY8AKVb5cMPJRgRN8zYVoBfn/oFPz9mtulN5ZjUe7UkdiRoPkBTRJKoetya4W48fYHvTRq7CIG3KxEqTDHTnpqo2y7aicuSVk9TDhSX5bAcFmNhvPlhJA8ks5zm/djoJwWUjngpvGohgeFCJainL0iDAyHFkqhp/pvGwZgePVYe7WB8mdG/r3VpYsw0mn2/MAe9mAXHCE+qR3DuP/t7bCa8tj0ojEROfMAxvpY5VBGotx7E9UuESAsz2j9+ahY8Zlt2HflmF06/gyqgwaNFaq3NrRNYP1qWMPlKRkrYmJHWFFjBAPCFwLm4d4Zmz+WBHQUyrzgiiuukFUzhgWT1xw8eFDqyN72trdJy8RkYLFCX1+fGDFYtBAbI0jyXvziFx9BGscjeEerLGPU3FRi4OaM3HGBsJrcMfeOrJWy5ExtuxoaMYyiif3v3Yp1n7odaG0GDg/IYM9oblIF6B0lDK+e/9ojCTY+jlPxmVsWvvwipGxXlLU+L0DaLFf233JuCjkvIQaGh4casbpmQJosHFPFmFzQshe9XhYDfhr1VkF6ZmNTBomdGzgyzqXhQRHHELbpi0JIssa4FCp7DDTm+JUuW5I8NQ7mzh3HvKw8C3DHwDqUPAvZBBskTPi+if35JE6oVcv6u/OtKPu22r3za3DAz6PWLGEoSMrH3qAko9vrgo0YOLsWLT9/AM9svQd/vnEz9l+UQzZRhlFfi6CjG3YQoN5cgf2Py6BUvwqbXr9wCnDjt6+H+6QLxanKsak1ZCuCNw/H3OwBYGAjEHoWgpyDRLeNcoMvjlmqhVTues5vQs0BF6n7DkyfONk2/LY6GM31sDwP/r1HZkzOJRaiBWNRQzdUjAuGDNN08OMf/1jqRtkxX43eXrUnfDRw540uV4YQ5/N5GdGylpTkji1XU0FjY6OYSXnav38/fvCDHwhZpLmCda1HA4nbySefPOH3p7pbOCfk7qqrrprRD9PQmApOetMN2PWZi7HjI+egfofK/dp4TReCpIP62w6r6IVV80/upGT9eEfWk67XnlIWJd8Ww0KtXcR9A+3oGq7BCfV9yHuORJD0ljLS6JDhKDTIYEVqEPuLDeK0HbDTWJkYQJOdq7hq46oyft7rZsW0MeyNGDNYb0YSSEInWXcUjqKji2MYSErISoggBB7bdD92DzSp/b99NVh1+mGszAyhHFiS0UfVjvcrBi9HApk11HkH/TTuHF6L+kQRRoePcLggDtr7e9tRi52oTxZRONANM52Gt64NBy/JIDg9h4YP3HVsnpYO/sO3Ye6mgmeg3ADs/OzF8rc/XVSPSqthlUJ4TT5QtmDWuvBqXUXsXJbNGqJ+D2zkrp8Dq7gCnS84URS/KaNchrX7EFBbA7Dl5aQNS7flRWPR4gMf+AC+8Y1vSDvWe9/7XrznPe+RMOCf//znQq4mA8kTr0PzAsezHIMyu449sdMFQ4tpKmUdK+/DihUr5jVAec7JnWVZUjs2Nnulp6dHzpusrkNDYzLQPdv5z1vRsLOM3NoE9vx9K074716EPX3wT1tf2VuaV8xQDl9U8EwUy44QOI5ia1CCHxoYdhOoSxbRU8yoEa1rI2H58AIaGUwZixZ8R8a2+cBG2nRFxYtVPyp7/Jy7e/yal+WJt0WCV+cU0eHWi8GBt0cFj1t8RBxuTATReSSNq2sH0FVQfRAkaVQBa+2S3C6JI0fKd+VW4/zah2UfkA0bJI0H3AYZCzc7w/jv3ecgc5aNdX8ldQzRM5jFltss3HNeh7hA3XUtYsgZPslFY3phmhXGoud0By13l6UNg05dOndp5JjxsvxR/k6pzFkDFrxGEmhL9u0M1vt5Buw+W1X9GUC51kDPGRn47NqdDmJFgsoCY4ry82hA2nI2cP2dWNbQyt24uOaaayQT7mlPe5oITy960YuwceNGnHXWWbjhhhvwz//8zxNe/+Uvfzk++9nPyn4bSV2M4eFhUe6m0u1KksaRLGNVqAI+97nPlYy7xz72sfMaoDwRZnSIPNoMmPkwicR0/0NoaIyPts9tg/37WySnq7ChjP4zGmDUZFFYkVqYpPUTVskHe+OJOF6ROOhgeCCFgwP12D9Uj8P5WjzQt0JiR9zAwmAxhVwpKcfnXDmJITeJQTeJoXISvaUsBt2UkKx+N43ucg0OlBtlhy7npXC43IDD5TrszzdiV38LDuTq0VmowbCfEJVQRreRwsdmCoYiE06UdeeGAYYC1ZzBSJX+Ugpp25VKrs7hmsqYt8EpiOEj7yWRtlzZv+v3s0Lw+DkDmbu8Ovx871lovCEhMTpGJo2f9DwCF6/bg+s71PMXNNdh1/NTsP54K05+5c3i1j4W4N9zoqeAxKAPZ5j7b4BXyy7bGc5mKX2Og6G1BlbcHOLkK25G4kACdfc7QI7FsoCXDVSYs6d6dldcxwdtej/W6+ySPEj/4f1AKgmU5pEsL3diV9VQMdvTUgP3/c8880z5nGob8+mIpz/96fjVr36FyfDd734XhXGSEXgeg4gnAwOPn/rUp0p9GDtmOzo6hBByzDvRSDWubp0quJs3b8rd5z73OfnIO0wZtFq2pFp37bXX6p07jTkHS+Af+rct6D3VQPZgO4xARUnMFBzNTSXmJN4h8nbtxvEKPk5mP5sdDNhpF65noTZFouSga7BGxrFu0UYy7SLheAgCE8WEA8fyJZKEBItqntyWEWLYS2DQVsu/JFddxRoMlFIYKiYxGCbRVJNHfyktih8NG1TbuK/X6deKgkeFrdYsIwh89ARJJKAaKnaW2lHjlPHA4RVwT3RRawBZqyyRJjxR+ePt8fMet1Z+fqudwglOt4xo+7ws3D82Y/WP74d3+noUzlrLYh9ce8/J0lO84toh3LM/iURiaqN2u61VyMt8gA0R5mABdiGtRrL8dUIDJ77z+jnNf0sMAdn96u+cSjdDi5PdFsqNgdq5s4HAAmoOBsid3IiomGRaYLC41dwI76E9sE4/GXZNZtwRsYbGfGHNmjUySVy3bp0odr/73e8kXuTmm2+W3bmjITYr8DTW1EA+87//+79TaoagWvj85z8fDQ0N07rf3NMbbwI6EYm84447puTgnTa5i5OS+WAw9I/j2RhU7OgK4fkaGnONDW+7HgfevRVunfqTleqoaXZadr1+q4yqSHhavrINZiaDIK+K75csuOeWZ2iuBc8IUbRCFEtOJXiYCIYduHYgRM8yQwyXEkgl3FFVYCXPRtL2kHOT8jUVNI53+0ppFMqOGCCKuSRsK4gUtwAZ25RoFLpm45DkVOhKkHGXzxGvh31eoxA+jnebknmsbBrAIdTDkugWG1kwLNmAY3K0SGetjwKVQUtl9eVDdbsP5NpFeaKyaw8UMbi+AQ8PNwppoiJ25+412PTSW6f+uDXWA/NE7tp+fC+wsg1+yoSbNeEU1N/kbGCvPwHenodHn0mFrsaRf/Js3Njzka1isvDT3LcLpVuXfx/19w3C2HcI5adP7425vWkjj4JA5JYNsklYZb2SM2/QY9lx8ZznPAd//OMfcdFFF8kYlZlz3/zmN8Vc8Za3vOWo1yMZo1DF03imBp7Pfb6puG1j0EwRE87JQB41ViSbbJ9vOpgWudu9WykYj3nMY6Q/jcxTQ2Oh4KeA3s02Wu8ow621pl1WPsz2Iql+Ul+T2Fl8t+X78KcpeR8vWPuBbXjok1uQ6LHglUyU8zYyey1RcbwGH0h7QNKHV1L/CryiDTvlCbkKQwN+YKBoO0g5LrrzWdQmlOrXkFQHdI50qQYW+lMSxJsbSonb1fUtdBeyKNY6aHSGJcuO6PczMtZlnMmDxXacmOyS8S27YW8unSCGj7NWK1ckSZ2cDBM5P4mdAy0o1ji4ccd6XHbOLeLSZU8uieG1d2/G5muH4K1uhr2vG433Wdj+0CokG4so2wlp6ZgM1YYGb/vOeXtOfI6NTl0PZ9BD/wYbmc4A4SzssvbqVUcQOyqP/DsfXumgPjpv/Xu2oe/lW7DqOl/q/oQM02/RlkFyF80W0/u5YU+vVI8JySNPzDOZeQmyh8UCTe7Gxcc+9rHK5y984Qulzmvbtm3YtGkTnvGMZ0y4J0eCxb047spVZ/RSrOLtrFqlVnMmAnfs2GTxqU99qpJJx/09Gjxo1GCayHig0shdwenk8TmOM7+Givl0eGhoHA3rrtyGjjdvRbHZhpOfXnDDji9eBCsfYsPbr8fOz10M+5RN8B7YIZVUywEcubGZwMuaSPWpBoMcszPzNpDyReEKEwbgmwh8E2XXhmm68HwLSduXXLt4FOt6DnppznDKKJYjJTVvIUwECFwL5bKNUsIW5Y9KH/fzmiw1DhWnrcEQ5bQoc1T02IxBEteQKGD3UBNOqOkTVZBKndy29NQmUZMoYX+uHq2tg2KyGA6TQvr4ebLThjVUAEquuKnNfR1AeQPqMwWsaT8so+WJpo67PrUFYe303hnPFnaujGJzCoFjTptYjRofjxMRwpGy6W5CYmj066RUZ6DUYMtqA8xQ2jz4uVFXO+1Q8Eqn7MAgrDM2w79nuwQN2yva4HV0YrFi7Mjdbm2R3UGN4w9Us1796ldLHt2JJ6rd2osvvlhOkyE2M1C0ItGaaeQICRyVQpJMVpbFAcgc1xaLRXzkIx8Z93p0084npkzuWGT7oQ99SIpx+flEYIifhsZ8gG88BzaYyHQwSmNymOeeJuOn+gcsDJ4U4MGvPQJOr4ndL6D71kFw532jLt/z6q1o/urcF8YfS6y4MZTleiMHpDtZKB/AzZgwXUNCjlGkrTKEz/7RYQtByUQxa8J1LSFoVOLqM0Vxn9KAwREsx7pskiiVHPisOPMMmEUSPBNewQJXhU9o7UVvMYOOdJ2EGzc4eWSsksSh7Ck2y/4cnbPMxSPpW53ul9oxOnNpoBj0Uqizi5KTx3Fse3oIO8tJtGVz8j2CTuA9g01CVtliQgQnrQEe3od02woMFVK47WADkg0lnIDRmYW7f3g2muryKP26FWgvYNPlt8/bc0B1y9uxq/J1x0VZrPpTr4xF6ZTlmsFMMNFeIIkdnbij7kcJKNUD9LaENmNQgP6Tkgg2n4jWLx2anlp44KAQOb+7B1YmA6upEUauiGBVC7CIyd3Yx+x4IXZzYYhYaoYKKllU3aYSNnw0UKGbDWjI4Hj1mc98ZuU8OnW5I/e6173uqORuvjFlcnf77bdXZr4s4p0py9XQmA14IKzbHaLQaqBxCsRu5+X1OOl9d6Dd2oCBzTUwCyaa7wkx3G5g+6tr4fRtxcZP3KtGZVQjHKDrdVuR7g1Q+9AwwpvuxvGO7E9vQOE1qq0gORgiMeQj1Wsgv9oQu7wE3/vGSIB9hvZNEz4PJmaIupoiBvIp1KRL6DtUB6euBNMKEfgGAk+N98wybwTIPGwgvzKEl7FFjaPR4vau1UIMT2nqFNJGwkaCx9Dhbq9WiBtNESRszNkjeN22xJCYMbibl0mUkIkMFtylK/qsMQvRXcyi4742bPhTAVjZinDnXliH++D5vhDSzt5a2P02yk6I1F/aUXz0Yez4zvmwDyex7qslHLi0Fekn9uL0uv4Jlb3ZoprYxQfZg49rgj2s1g3mI9qn7qE8htZnRp3HEXBgm7J356XZaatMFa1fmuYbmmQC9prVYuaw6uvhr+CepCH7d8bh+dlVXPbQDRVH7Zllpt1E+3XzCYYkj2ck5XmTBSgvCnJXPYr985//PF/3R0NjQlgloGFnEbl16Ukvu/PF9fDqPfRcdo40A+ANF8AYcCT6oXZfAMOzsPL6HLyzNsC47nYcfutWNN3vovN8B61fugGlJ1+IpRLsQwNJz6u2ghnDJBKM4LCKJryMInAcCwZlE1bJgJcyYJC0mQbCZCDKXciRLhW7vAk/ZUkJPdereD732fi1PWwIaXFyBrxGU3b2WPvVN5xBa00O/eW0KHMEO21J6rgzJz22oYGM5cqpp6wICevOajhPDumSdUXdI7mTEStZOHf+ykmJTnGzNgbXN6Nx936EWXV97g0GRRtO2UDjtQ4Ot9Yi8dsMrLsSYizg3qadg+T7rc704zffvgCb/ml+u2WrY36CR58Hp2cYDz+rGf4cZ3IL8bKOHPfWPtiP/g1qt4jKrVWeAbGTK5sVl65hs0ctVOaKTBphYx1wp3qzpDGH0Dt344K7dR/84Afxt7/9Deeff75MF6sxWc7dbHH22WfjC1/4QiVNJAbP4/eOFWa0c1cd+leN6YT+aWjMBI3bA+x5egonvuuGSUeoUn3qBCg8cxCt205CoqYsrtCaAyZS2w9j+DnrVGZeAAy8YSsKrcBA0YGbBfa9fyvWfnBpjWezhz3Z7yJ5tejQdGPFjdJbCMs34CdD2c0DSQHPz1vI2SnZwyNZk90810LQbyGso+wDWKkAbipAdj+r4QKUGhSB29fVBL8/gdAJ0F43iKJvo8YpCbHj6HVHsV3qz2LszjXLR45719f3ob+cQrq5LGNZGjuo/jH3jk5cCWR2SnKfWu72kF9ho+VvHSg88nQkr1Xl8g3JAoZacgjub0T9rhIGf9KC5L4yWtoh1V+DJ3D3DOh+sBl3GOGCEbsYneemUHMoIcaHNR/ZhgP/uhWrPzo3f3MkXuGJbaLaVsO/+wGsuhvY976tcEqAWZr+bdNlXt1E4fX0wM6mxczCPLqBf9yCeh1Lp7FA4L4bna+33nqrnKphGMa8k7tPfOITEqD8hz/8AVu2bJHz2E27b98+iVM5rsgdZ8xcHhxL7uLQP03uNOYLPFid+FPI4nbbj+5DZ0TwSk9/BLLX70K4skUWu6vBHbH739mApFlCprYE508PYPunLkRQ62LwNANGyUTIo3zGx2CKKgQQlgwcettWrPy3pUPwEoMe+jalJHbDcgGrh6qVUvLcOtU3SjXHhSUKHL8OUtFCftGCm7PhFAwEKVOcsWHBglHjwnepEBmiEhUblVrEJoRstoja5gEkLE/IWH9Rqa3lhI0O34oIWlk+9pbSKHoO+obTKOYTEqrMiJU96WasTA2IYkfljvl5GVsZMPh5z21tWOW6aHgwjzBpI9FH54ghBKQrX4PVbysD/kFpUEjVN8t+GXfO3DoG+YZI9BrwMwFqI/fvQoL7b/lW7j5GZGt65u9JYZY87L1yqzimx0J+lgG0//v0/77HjQ/yA7i1Dqin1u2ex6aKeUS1EYSZffPdlTtd6J27iVM8jhUe/ehH48EHH8QXv/hFPPCACkZnQwX37abitl0U5G6uQv80NGYLryYBs78fbjSd9ZMm0NoEvyaldoC4Qyf7JYZMIqjg8avhvjSCLWciqPUBxmNYQMCxpOyOhQgSgRAcud4SW08x/3wbwlO2KhJXVjEYTl7tLxJxBiB5brwDxh3FIK3yLIXQ8Xw+bEUu46s9u8CzgFSAYrMJuwA4Q0DJDJDLpcTw0N4wKGSsrz8rI1C2Vzimj7Z0DoNl9T+E55HYFfbVwmgpoW8og0y6hFqnKKTOCdXolg5bUQDtsvTOSl5bCNh7u2idg3U4gF8qwb/kbHQctNCMXvT83Uo0PDgML22CPgy7CBTa6RQNUVzFmoYQeTeB0dtp8w+7EFYMD5Y9c1PF0dB7eg2CoyQnOHm1azddsMINwwVR60bBdeH87hb0XLEVjdsL0y27WBSkrtrhu9iInUCPZecFHR0deNvb3iZZeZ2dnUc0cE2lTpUkbrbGieuuuw5f/epXsWvXLvz0pz8VQ8b3vvc9cQFfcskl80vu5ir0T0NjtrD7izj4lq1Y/d37YTQ3o+6ODmmSMC46S3boDm1JizrBbLcwY8DoTiJc62LTy2+RKBTOwiyHc9tQJpCgoYBsLu0j9O0K2Tn4zq1Y9fGlo95xeZ+kjr8bs+5Y2JAYCBFYBlj8IASPLlo7RGLAgFsD+OwkLZtI9Jtwa0Jx1oZWCGfIhBckEVLdCxiOG6K0gvt3ARJJX0Wq9KSwdziB9hX9cmDpzWWQTrpozgxLTAprxuhoLZdshN1J2MMmwnwa3poi0nUeuoq1qE8U5D8VO2tJ7myyTypEThF1J/fB+G0NUCwhbGtG+PB+Ue26N6dwyhf7secFK5AYBLrOralUbZUbgFSXgeETfaSbCij0plFwnQUnd3V7Shham0Tz11QESecbt0rQdusXZ//3Zm9YjyBhSBvGeKh/qCzVfuOGH0+AcGCoYj4a60Dtf+kWZDs87H1yGuuvxXGDxRzbojE5jpbeYRiGCFAnnXQSnvWsZ43KsavGy172Mgk8puN25cqVx8QsSsfvP/7jP+Lyyy8X8yqrXAlWqX30ox+d0Xh3Wh4tmirIbslsySz/9Kc/VU7MdeEDxMwXDY35BiNMCm3A/pefivLp65A7QynG3KHrPS0toy4pQucemWeh/kEDpWG131UZNcpeeAgryTBfXxQcg+YAh2aDaAziA33/pPYolgK4EyexITKChRgsZAQbqTjCm8IR8wpJnFG05Hw6O2VBnyt6om4CiX4D1pAa03I0a+bVvxR32BE3rZTUdzjo6KqT/Tieyq4lSh0VOPbbEsFAAlZBjSh5Ql8CBdeWnlvm2HEES+2Vih9dsnKd0EDacdF3cgKorYExmAM2r5fl/hW/3I3chjr5PanWkcjy74HklvEvNDCkD9go8m/CCDE0PDKFmDcY5hFK6tgcuvh5mA5I0MZDvh1imNn/HuWUrkZqh3K0TofYEeMRO8GWs4U8U83lPudSABW9RYW56JWdhnJ39dVX48ILL5T1K07k6Erdvn30ygtz3F7/+tejublZmhae97zniRJWDfIC7qRlMhm5nbe//e3wvChJvsqkycow1oWRjH3nO9+Z8v0kGeLeHXtd//KXv8jp61//upxHvkLyx9u8777RsVcxyF2uueYavPa1r5XfkUSw+rQQYAgy2714v6uDipmbx3SSmWBayl116N/atWuPmrysobEQOPHdqkKs6/JzUHNI/bOoufMQsjvSOPzYFmQPcnyrxq0tX96Glq+YUsFksCKpbEnUh2+xZJNMwQBcE2EyRLLDQvZwiEKzERGc42nINDFqf3ADiq/bKkQn2ReiXG/IKJYKj+zYORAHpQo8VuNXkjbupVEBKzVD7SiaVPy4xwekYWDgJMBt9KXtQlRQHkf6E0gMmCjXB1j7MweHH2Gh1ObCS3voiWbeDDxmTp49GBXaZ9gbbIgrN5dLo8MAWlLD6C5nVRUaQqQsT4wV/Lo9O4QdyRUIDnXASDgwGmpgtLfB3/0wjGCdPH+Mz+HvROIkSmQqhFcTyM9I7Esi3DSM9S9cAAdAeGTwdvrnN1Y+F3I0gz+18Qgau16dgVXqd66b2nVmCra8GDsPoD5YBWvPYQytOQlLAYtO0VvgsSxJEokbCR7J2L/+67/iiU98opCk2JHK+JFf/epX+MlPfoL6+nq84Q1vkH0zOlfjkSaJHdsV2BrBLtWXvOQlQmCoSMV8gpd5zWteIySLhOyVr3ylqGhPetKTJr2fsSr37W9/G3V1dRXF65WvfKWMM1kP9uIXv1ju629/+9sjrk8uM3YUu9AgaX7Uox51xPl8TPtnGLRvzjT0j8Qun8/LAuFdd9016qShsWDwPLR+9xZkb1edfiwt91qyKDar+I/sfkPCeQn75A3wagOYZVNOKJsIXVOUu9SeBFL7bYlKoUI1sJH9m4CXJjEI0fmGI9WP4xnc70rkwgqZSPWFSjXzq5zGbCbrVTtqHMny8kK8CooQ8rq8HEedyT4D9oAFk49fvw3nUEJiVdb+roCW23j5QMhg3b2OtFjQNFEqOBKlIiHKnPaWFJnk3h5B0sf/uf2ltOzmxfEn4pg1AlHxMnYZQ6e4MOtrJZ7D6OoT5c5Mp1Hz+3uR7Ae8lSVR6vhcBqkQYQ0jO3z4dT7cOtasYVGAO3jpnuk1r0yE9s9sAyt953t31LAseJvWILzxLux9yUkYXgXkLpu8IWCqCB957pzdlsbU8Zvf/EZGlqeffrpEelBNowoXO1JJoKiOsbSAFV6MISHBIom74Qbl0v7d734nZPA///M/cc455+ApT3mKlCHQfFAuq0JlKlbcK2N916mnnioE8e///u8rXfaT4ZOf/KTcZkzsYlJ01VVXiZOViuH73//+I5y0MT7zmc/gXe9617w3RkwEkt+dO3eOqypu2LBh4chdV1cXnv70p4tcyyf+3HPPHXXS0FgoBOWynKormMoNjiz186DTtJ2LVuro1r2ldeSKVQf08KByZZBckMQQmcNAuTEUNYXkbim5zBp3lGXsHDjKEFFsgZgqolU2gRA9iqEGHxOlehm+IoAyfvVGnHcce5LgxYSQ36cSmN1HBc4TV2iqI1r+4sPLJgvPRFC2ELhUTg0ESZpZotuQGBbAGLSRG05hyE2KSic9s9GqPsOQqeIJ4eNZjfXAmhUonb4O6B+U3uGgWJL7hZwtyqOogiUy0hCGFYihgiP4xZLHXrPfhV2c2R+amRx/rCzO5Tn627WidAQ2UVRDKvy23SEqup9Wz6HPv605AjMoZwN788yURDpmmRe46JS72Z4ic2T1Kd7xmggkc0S8u0ayxGKDxz/+8aOCe1nlxSgQgh/PPPNMrFixonIZqnH8mffee2/lMtW3EV8mvo2p3C8aIcbjKYODgxW/QEwmx4J9tBwLb9y4UTgNf7/q00KA6uKb3vQm3HjjjbLzd/DgQVExafTguHjBolDe/OY3i1TIO3LppZfi//2//ydz9rg8V0PjWMJLmWh4iMYIH5m7D8J83Foheg3fuR7d512siENEZBjgSxJSeyBA72mmKFUS6dGkxpRUkXLtJpzC0qkm4yL9io0nou8RK6SCio+F7LlFUQmlhojYRY8THwc+LoUWU/apZB+RpgyKnzWR85IKEVvMfEPG4aneAA1/3Yu+R58grR99p9eh+X4PpToLxWYLboNy38bEQ/L2IsWQhExIZM6EW29jf2cjzLZeZJ0ybMNGynJlD68c2Higq03IWehYKLXXItk5LGTDTCRgrlsjhDGzKodiIYFgMAFwJzCSsgw7hDlkLsxItqqy62jwUybKNSZmsv0XlMaPcln3g73Y9ap1c5KhZ9TXwdy0Dv5t945/H/J5IfUn/Nsd48elzDGmagbxth+piEwFSzkKhaPIalx55ZWidB0NQRDIcZ87YGeccYacd/jwYSQSCSFO1SCR4/fiy1QTu/j78fcmugyJGePV0un0pGNZZu+Se3CETNx8881CjLhDR9x0003jmkBj5W426OnpEWWQngSSTD5W1ZhKSwWVQ17vcY97nExEOaLl/iF/B2YHLxi5o4Hiv//7v3HBBRfIeJZj2ic84Qkii3IJk/NzDY1jhexPbsDeD2zFuv8GipvbcfKV98juB+vIRBkSo4SK9cjUF9F2m4/EjkMoNG8Q0sJdMyp3rXcFcrAtNRhqXLlIFJ65AJ3FyZNb5PdjESwVI3obAtuQfTw+DvydOc4kweXXHFOneoGmb46QhMNv2SrKnRRJKFEMzXfnYd+zBz3POBXOcIDAMkX9LDRbcvskjok+S9VfkcwlQ2m4sHKGuG6F2JFUWoA3YCNwLHSma9BUkxfljuTOipQ89t+mdzvY/fxmbPjPDh6FYNgOwnNORqnGweAmHwnPwubVHbjfXYkgA5gW/wiAMG/CGVrAJ3UK89/Gu/qUe3uO4O3dj8BZi7o9wIF3bcXqj22b8V4dg5ELF6xB9oGMInLjxKKs/twtMBIL0+syl3uDU+0EXipgwG71GJNEYiJw9+6ee+6RMeFiA+NDuE932WWXVYwatm3jpS99aWW0S0WR/a/jgZebDehy5Uj1Fa94hZDS6bpteWzijiIfY5pNeFu5XA6nnXaamFRmihmROzZRxHl2jY2NIn+SFVN+namzQ0NjPtxuPesTaP79kHxdXJGtjGhlrOgbSDgeDEpFjo3me/IYOiENN2ugdr+LZG8JKctE7+mZSi4Yd+9kD89V7tHmrx+/Sl7i1zcDV2ytqHMkc0YYws5HjxErybiuSCLE/xTBaGIniNSEMBpr87KDG9JoPtwkhM5PGmLSoEGDxE5ut0zHamQgoNpXUERbVIXoo4hr3MMrGqy5RWE4iQEzlF27smNXHLOWFcjtl1p9FDY0wQhCpPoHERZcDJxZA7Mcwi3aMsJN1pThuRYsO1C9uNH4eLGAWY1skJhrMNLGdAO1z7iyHd6hw9O/b1RD02kUm0yUnn82Gr57Pe3K0jFbDWMSleV4AEkrSTGxFIkdQWJXTe4mAnfgfvnLX+Laa6/FmjVrRu2JcdTJKV61escpHr8XX4aqWTViN231ZcY6bPk1799kqh1BAkSXKYncQw+p5pQNGzaMIkbc96sGVcH4949Ht0fDZI8T8+lIemdaNWZZlhhV7r//fnkcSermAjPaudu8eXPFEs1fiMz5wIEDshhJh4uGxjGFwUw2IBzOy4gxxoHH2MoQUFQKEcnDcD4pyfqDF6xG1zkZmNwrC4DEb26FcceDKLYkkO5UJIeEhERCjBYMRTMhoa3HM1L9gah27JpN9flwciGSg+pEEpYYArKHSAzUgv5YcJxNVY/qHi/P8W2q10fY0SWELWQ/rcEOU2bjQard0l3RWDxgh200IuWI1oscuxzLskWjRAJtwM6ZEo0y1JPF/p4GdBczyHsJMVk01w6j1BQguzKHQ1sdDKxPwD9pNYx8SUi4n/XR1JyTPL1T2jrR1jiEpOPBcXyJcyk2L9wypXfw0ITfz/xsdFXYTMCmll2fGW1moLI6vNIUY8yBF85sOfvwm7fCXL0SmU6+AwDKT7mQ8sgRvxOjUo4al7IAYM7lVEAV/2iIid2iwxzu3E3px4WhEDuuXXFaR9NDNWigoOuV7tYY5AU0XcQ1XPx49913j9qJ+/3vfy+EKSYxvEz1bcSXiW9jquB4l25cds3W1NRM6IClKBXfJxIqfj32FJ8/GagKcnw8G3DUHRPTucKMlDsu/vFBjGf1T37yk8UNw/k7q8k0NI4pwkCNX2tH3rlZNTWVHa94X4zwhhMYWudg4NEFJO9Jwx8wJNTXPO80mAN5ZHcPws02YLhdxX/E1xNliU0N7vHttKi/fh8GL1oryo40sHWUYPcOwyh58FpqkV+dhumFaP7atqOOwAuv2ap29pgmUwNk7+lA6Nji/uSeHsEmBquolDzZZRxWI19puLABm7vOHOtSUY2IN5XDkDVpJNa8XsGEGyZQbHSwr5yUsexAPoW2jT0YzKeEPFJhNPNqcbp+j4fSowsSlzLsJpBzE6hLFiWwmF21xIZ3TG1p+3hB5i/3I3jaaXjwGxfi5FfeLOdx7M3IGj72oq5OE3ztULnmcqMz6Mp4nfuBsGcQyjfPoGN3KghuHz/zbDFjoevHOCb8/ve/LytYNBrEO3J0olJR40eOIpkjR+MBCRv3w0jKLr5YvcGgIkUSx9Elnau8jfe+971y2/EomBEoX/jCF/COd7xDdudIJH/84x9LxMpUd95e8IIXyM4bR6I7duwQ5Y73jeRsPB8Af0ZsluD1ZoMvfelLsjPHvTuStOqcOmIqCin9Ctyvo+uXpDmOmpnObcwJufuHf/iHyue8Iw8//LBEotAl09LSMpObXNLgvoo4yjQWDDyIcfzk1iulYt9rz4qcnpHzk+TPNWDmbGQPeaj7DvtUy8i3OZJv13FRHZruTyK3NiHkQ8ayjholSgiwPTJaLDz7olF5ZccTuEdV57rIn3sCMrt6ZQxV2fnayWzgGnGeToTsYV/GdVREaZ44+IzVMPzV8jjZpVBUu3LWlM/5+PNx5GOa6o7MKy0jOyokdKLY8Y1wRMRlbGxwhGqh3GDhgN8iTlf21yayZaysGcTq2gHc45tI3ZOGMZBD5xPWqef5jlo0PG2f3Pa9e1ajrW2gMtJdigg2r8fmbwxjx1tGDjAnvvN6dL9mK1Zs60Pv2aOX3wk6Qvl3MB44iu164Vlo2FVC8YRG2HlPnqPsb++GN4FpolIBqHHc4stf/rJ8pGmyGow7YUQKwVEo9+4ZXkzHLV2uJDvVI0eOdOn4JOkjaeGO2wc/+MHKZagIkshxb+6zn/2sjH65HzeVjDuC1yOhomLIKJVqF+xb3/rWccldnNk79vOZgAofR7uMg6kGlUOSzanUlz31qU+Vj8985jNH7exN5zZmTO6OVvExHph7ozECTewWFlyob/mqGnG5tSPOJQbZcrwaJ7VzROs1etj3vACr/9tGqtdFoUUt/JOY7H9MUghc3S5IdpeK+RhRmEhSOHbkKLf4zEcg9YvRuyXHU1hr4jedGJ0ZrzAZsSNIbKs3YzretBWJwRCZDk9UP7fGgsVWCGeEsHFEyBEtiVyqR02LaGQR8hcJQiSF0vFrAc5w1A7XAeRWeai9LSXP5+DJNnJNCWRsF+b9WeTaAdKXpvuGMXRiBrl1BloSOXQXs0IEhwpKLaARI96/XFKwDPRvqkH93wypIGOYMcHHuvOiRnk+xoLEzj5hrWREjkXny85F+3/tRFgsIf+ozeg/KSP5kZOm8S2WfJmlhgV8XzKVYF/WezGzjqejgYbLyeqzSCDZNDETMEuP4cTV+4AEx7MUnuYbrAwjuaTKORNDxVyoh7Mid1N94I9FL5uGRjVCz4Xd1ip9l8leE/aqlWrUR2JGQmZEBM03YFghMg8kMbieWW+WfK9xp4vDWxyUm9S7pd6zDOlRtXyO+gL0nmqqmiipKFOOT/1XrzD04i2V0V/6wBByG+uF/EpWIJ24SRK6EG7U+kGFjqNckmXu95HYSQzLWJAU8ukj1+xLoNwI1O8K0Xqzgb6TMjixbT/uy6qxLzJplOsTcDMGymtKotQVPAfloQSslA/L9uEVbZz8w9yS61HnWDK/dStW/akfu16+Cie8V5E7GoBW/LkDXZccpVLLH5+u8U1O8ax1SN21F4UmS97sTMVhGvZMHv+gsbgbKo4X0ODJoOKx6O3tndQFPBegi5j8iF6EmWK26uGsyN18MEsNjfkAHYFBT68oeOs/cy8OXX66qtUqqXFgkIqiPli71ZFAfnMZp7xxO/a99kwhDwcf6Ug9FRz1n9DptirjXNm9M+jwZFCrIiLlWhN2fu6aBY5n1P/8TnS+9Byke30MntIAZ0gt4JMkkLixgaFUbwoh5vOR7g7gJ9ReHp2rZebk8vJSgaZaG3gGH2cZ5dIAMqwuP3iigZY7fXTf34RCcwf8tjJW/q+DfU9vRf1DPgrRhkgpsNGTy8LqdeC3hKoFLG8jvGn8xPrjHe2f3obQshBcdpHU7a1/zzY5qHc9sg3BUar0xhvL9rxqqzjIc+tSSPT1w0tP7S0MiZ3f24elgvCScz2BmrcAAIieSURBVGD89Y5jfTc0joJHPvKR+I//+A/ZV4sFpiAIZMfvMY95zLz/fEbCMVpmNuSOTuSJMF412bzs3GloLGYcfP4GrLrGhdfbJ3s/rV/aJhlfKpIjWuZPQ6qpWFOGIRsPfPw0IPSx8ScuyvVkfybcRAijbEjRPEe4YTTeItEgEZEMuHwIP2XAzc4sfHapgfln7PEtP/lC1N97GMWNLfDSdKKE0oihPleXlX3FZqWCkvzRgSx5gorPqbgaOpdzAcq1BpIDIexCAMMzkepSZG9wvSWEnE0Vib1JdGwJkD4A9J9kodQSIpFxMeCmkevOwKj1EbKKrjeBTW9deCMFFeTJHLOz/hlR1El44RlYeYOPg49URLjUCDTs9DC8cuRfvt3cLBl1dmsLvK7uI4gdiThjbZp+txNobUGqL8DQ2skDFpYSsSMWC7FbaEPF8QKSOIb/3nLLLRLNQmPGvffeK8pd3HE7n6CJhCZTZtQxDm6soeKssyZ3cI/daxw7BZ3Jzt2MolA0NBYrWMPEgz6JHR2vPICxraDShBC5OqkaUYGL89Uy+1W/KTtQuftFQkfDhWS8SQxKKJdlDApjQRJD6uv8CqVCxRluGgqWG8Brq1ePqauInbiNo8dcPdbqsRXjQ/T8xN/jiWHKVPu8lCGPt10MkOwuyXPI549EUDIHi0BXIQuHcVWB2tGj4UWeL99E2VeExiiasPImbIYlHwssQIlt0K9MDEHSQrKnhMAJsetTW7D2g9tQarSR7A/Q9ToV3xOHD48ldoRE1xhKneZ6Q9DWII7nuMlkqpCgY43jMgrleAEdqg8++CAuueQSaavgmPa5z32ujEpZKTYVMPz4D3/4g8S6DQ2pXFRWgDFMeDLQuMGMOjp92ZDBTD3WsMYfp4K+vr5RJ8a0sNuXt8edwplAK3caSwo9Lz4Xa/63Cx5nb3c/iK5/OF92r6jWkfTxoB+H9nJ/SGq1kow/oQpnofusjHJoMn+Nbsx+NYb1alWvquzaGUC+zZDOVI4NGZwbJgwM/OMW1H9vaUVrzBSGFwrBiJcRk30e/KSDxGA0lo2qzYR3Rc9HTP7I75xCKGodzyPRsEoBQsuAva8LoU3nxUiXbbYjlJDittvL2LvCUeScu5UtJbTUD0suHncrZW+yCKz58PEbPD0ZgkJBdcD+5TYMXr4FrbcCvaca2P0xmlwAZ9BSTuQJ0PnGrfI4eS0GVvy1R1ZVOy9uQM0BD7m1tlT5sdpvMvByizYzTmPJgC5Z1qm95z3vGfd769atm/D6NF0wzo2XpeOXbVuMfvn4xz8uXzO/dyLs3r171r8DY2XGgveD8XI0s7LHd7rQyt0xgHHBmcf6LixZUCEqrlEvlMD1RPWRUFxvZMwn5C0a/7ETlecx6LXmQCBKkBrbslieylAoRMQeoqkiUpv4qmEOsq12yFzuIvG2Rqvxyxb2SRtgln1YRU/cxF7GEmJGI0W8t0VFjqoQ1bn4sYwf12p1gaPvWF0VI4zniUInTlqqexn1XObdBPy0Cb/RQ3mVC29FGcmMi5TjYricBMqqF9ecQc7bXGEmzRAzgR8pDx1PcEVtU7uLkG5Z+Rs9inDJUXr3a0dCufm4Hrq0GcGjzo0yCy3U7A8nJHZUyWPwcuzTXQp/z4tpLDvb01IDo1TYkjVe/t2JY4KXxwNHqtybo2JW3YjxnOc854hw5aO5gSc6zQZ038aFEdPFklTuaMv+5Cc/KYGJbND4/Oc/j0c84hFYLAhvuftY34UlC7Yt2H+4RdyyHc/eVHH38Z8aP+d+FlsrRNlh9VVJ1V+13lmG019Cz+m18GpCpA+ZyK9m+4KBRJ8ax7q1I2NdkgQSwf4TmY+ndvCm4iRcDghqU7AP9iJorpNdRBI3VmuR3MmolIQjGhGJi5nXYZ8tXbIRiaNqx3EuI1V4G7l2W3Ly8uedgFXXDSG3LivEnQpTuttDz+9b4a0CzKEAybU5Gce21OUwXE6gWHZglE2JXGGMx3IAY1A2vewW7LtyayV4e/97twphO1ruNiNr4mDpTLePZJ+LwDExsDGFxgfy6D4nCzejom5WfFY9jrErPUZQVgHSMbwDB3G8o7ymAebOY30vtFv2aIiz4MYil8tJVMtkYH3Ytm3bRCWrxvr166V5azLQzDERXvKSl0x6G3fdddcRvxOLIj72sY8dUZ22bMndj370I5ExKaVedNFF+MxnPiNhiGS/cR+uxtJD8OjzUGhLoHlbh+S1dTxrE0r1KgJCLexzh8iQ86rVu0qgsR8id2IWXoZxGiHya7lIZyBIhcivVpl4QkgkQkX9TKohQkp4Ua3aVZBfW4Oa3iG4jcyiU1ExbPIo15gRsYsYXLz7aI0cdOLHmIRQvmeq6jKOc2t29mPwlEYkezi2DeAPUZUykDqUQ3hGI9qu7YabbcFwqyP9seyhTVO5KyRlf3K5EDsiOKyqlZrvCXDoEgMh/3599SZFCPQjz4Vx3e2jQtb52Iuj3AEGTrSA9ZZEqoTrGlBqSaJcpwh4qk89WdU9tbLrWioeEYAcup5EEx3PSBwaHDcDUuPYIs7eJbF73/veNyoOxfd93HjjjVMiRnTWjmdY2L9/v4xnp6L8VcNlKHw+L2SR92kq5I73k7/H2GxBNn1861vfwkyw5MgdA5SvuOIK/NM//ZN8TZLH9Gs+QKwI0ViacGttNUbdqfr5qEDExfc8n92pwyvVQrjwh0gxij/n2JD9m6GlxrAhe0/5kU0IoYHQDiXzVg6ALLonIXGjkWEVSdSgwYFszoLvxLt1nJ+OmCriajHZtYsCiw1z9JKImGLSBpwglM+JgTMa0XDdXgQrGmEPubBTJIuA25hGzUHWpwUqMqUvAbutAIP5dmVHAotjQr5cEJYVoerbFDmVuZrAhhY+NUX1926MCVkXVTVaU+DnmQ4S8wBN9+fFNVtpF3HUNf0qxW48Asf9PzOTOe7Jnbd9Mch2Wrk7WvYuCRH7a6uVt0QiIVM7VnpNBlakUQT62te+Jl+TZFH1Y7Vq3BwxETjOHQtWoLGVgw7aqWDs3h5bP1pbW6ekPC4LckcbNBcP3/3ud496kB7/+Mfj+uvHX3TnwiRPMVgjstDxBRqzB0d3jNWoiXKpOEIVNY1EwgMGT1CuVsZtcLE8JgwyUs0BBy5VNWPV+0giLkVKEtU8Fs2bRRI9dYDk4r44aTnijcrux46pliO8rIXBc9uFeFGpYzbdiDQXZwyScCg1SUg0H8fIUCFjbz/KxosUPF6mducw8meuRqK/LE0Ldt5H4Fiy39dwTz/Cjm6s/G4XBj52CtyijYFiGn19WQk9dkrH3s1crXTNN0ioqMiV64FV1wXouFCxaP6Nck/RuWv3SM1cBJJpP/pbpsGo6c5+HHp0E1b9vhOlczNqZ9UDmr+qFNDq3bvx9vCYM8loHKupccnFoxwL6CiU8bN3KeSwtmwm/asE68k43WMHbrFYxItf/GIhZ6xS/cEPfoCZgO0YHKmyqpXVrJPhL3/5i7hux4Yuk9P88Ic/nJL6t6QNFd3d3SKvcgmxGvw6Lj0ei6uvvlqcKvGJrptqzBWx44hCY/7A/SselAjz+rtlXEoVwq0LUW4I4dYpEiYOTap6UZWYuGb5ehK1IhTljidECp6MY+mcjZQNhhuXGpUSEsei8MTPedp/+SYcfuvIUvpyBAOdiw2majdo5F5cAC+j/tUwRJeEj+oPR7WVCJTISKFUVPV8iMnCYL6dj+wf78X+J9Qi9Zd7YB/uh+FTqVPXGV6dhn/PgwiGhmDU1sAaMuGkPfR218LoSSB92MQJ7zv2I9mFInYVhCFOfPc21OzorwR487Hl3//g48YJXA1VhzIVu3ID0H9GA9qvH8Shx7WpSJQUsOqrt4/rih33x0eKHYkdiS1JnvvEC9BzxfJ+fcwYOgplXLDrdqbEjmBt2Z133iluW/bUMr6ExIzK4GxWuWzbljiVqYAEdWCcLmbGssRTyGn/fCxzUOWr7s2lcjeW4M0FOKLQmD8UWkkY1OdmTY0ibU6oCB9JXDRSipsPYhIhHbFHM0LExMNWn6iML4Yaj5BDnldqii7LmJUoaqXjzVux4jPHnlAsNEQtogJHxa0cUDpHuc4SMherpbEjVnbAMtHzQcNL9VtNjrsDoGFXEW6NLcpQ0wO+jPnk27kiHIMOZgP2/m4VfQML3rpWODkDns/FPcAsmMqosRwRqD2BrouaK6YKkuh1V47/d8nngCHdrIGrfVhF/BTb0qLAxvt4+950LlZ/bPT1xRU7ThAyESvZwcCgqHjph/uR/OtB7H3vVomkOVqnrYbGVMFcO5IxOluZD8cdumo89JBa1ZmMiLEjlqfp4he/+MW4ZogvfOEL+Lu/+7tZmUK49zdeTMqyI3eUUS3LQkdHx6jz+XV7e/u416EMuhD9cxrzCxKBUrMiYftefXqkyCkVzmQKmtrfr4TmUoWQPawoLy0O0pURYdW7WzkoRgdGmi1ULIqJQhuX/A0Mrw0VeWAaCoOMTUUguY936F+2ygGx7QvLh+Rxf4vOWNaK0R2b6QwlZzA5ECA0THEYS31biQrSiEmFiNWlyu4i8wVTlpDDbF0tMr+4BThhrRBGwwtgFlwU1tbA7kpK5EZYKCAsMU8PCDwTocdaOGDVJ5bP4z9eJEp+pcpzZBsLH+p979uKtR868jFxhgMZc1MF5/NkegYKTSbMSCHlcxMTu+HnX4z62zpw8CkrseIrNyNsawLGkjvDRFgowqqpgc8w2C1no+uUDFqvN7DmIzcguPQ8eH++7bgZ21abUI7NHdA7d+Phla98pYw1//Ef/xErV66cdr/91VdfLdM9hhBXg3v6jFh55zvfOeH1n/3sZ4/6mj+f+3KPfexjZeQ7EagS8vI8sWWDJDMGp5DcxWMGH5Y7ueMS5fnnny8MPn7AyeL59Rve8IZjffc05hF08iV71YtayFW0u1VB1dckbLLQL6rcyP6djAbHYkzuWujQGBBKRIrUZbkcx6qvA1DtUJl3qplBEUMSj6UQCTFVmH4oBDnRX5LHmuTMGfZRrjOVWkfiULVjH49khWir+Do5z00DAxsdcWf6PX0je12WCa+5Bn5aKYIwDcC2YDgO/AR/Fh1rljhkSRiXLehSCQOUWhgAbYribJUnOMDHamr0xkeigrhyYAG1+3z0njoyfmVUjbdrN1J97TAcG8H2cYJcw6BCMLmWEhiGVJjl1zcg8UAA88+3qbvpODPabbY3bYS3YxcWCseU2Omdu6Pi17/+tZgmp6qSjQVbKb7//e8fcf7pp5+Oyy67bFJyN1YpnA5innLHHXfI3l9NDbfGR/gM41ie97znzei2lxS5IzhifelLXyqhhMy2owuGsu1M59Yaxw/ym1TGllczUmMlZCtSHqiwxflqiFW8KDg3VugU0VAETZywsas2Hhl6BvwspT6ZAqrbjr7PkSxv06a7Nro8r3/o2evR+sXlQ+7snI8gYaLYmkJ2Ry8STVk5P9VnYmiNPUotHXmeIpIdKaxxt2zz3QU4XcMIE44id8USwmRCjWodE+lDRfgNGZjbu2GkU/BTthq9D9pIdptinlm2CAMZk2988w0oPOciHHyUiaCoTCx7P7AV7de7SPzm5srF0z+/Ec4/b4WXVBFCYmThaNsjmTOx+uoRtY8RNRypikoarZxwZM7Ra/zROv1k+Pc+qL7X3IRg2x3Iv3orfMdC5rKLUfPDG+R7wepWdGyph++ciPaxqwxbzwG2jXS78jZhGPDv2b6gxK460Dh25GssDjQ2NqKpibsxM8Phw4dF8RsLqm8cr84n6MglSOJoqJiNO3bJkzs+QJRS3//+98uTxvwYdrSNNVloLC3I3lwpXiyKcuwiFU1crtEItrK0H7chYAzBq3p3S4NFRU6Sz5VyZ+UsBIkAJh2YIXf91NJYyMvaoTJaFNRuXkwmrVNPxp7nt0jH51JHcm8vcqe3iiPWr03DzLtCnK2iIwQ7TI/krRFxAwVVpTiyI95r9GodDGxsRuP9D6ostZXNMEqukEdex0/bsPMudr77VJz0n31itKBTOtVlSqPIcsq2Gw9xzEnnuZY0dMTqD0O4c2scjD0k1j3sY/AEa0Th9rjaYIhSd/DtW7Hqk+rx5Ig3aKiFXRVtR0JX/TEmdoS3X4XB0mnLfdTY2S737aJ6iSpKF0IcfMdWUV5bvxg9b1XEjmAeJQZGGPtCu9OPKbHTY9lx8aEPfUiO99/97ndHZd1NFdyx/9vf/nZEmwXPW7Vq1VFFJP7cbDY7amf/aPFsk4GC1FxjyZE7giNYPYZdXqDYdvI3CrLXFRsr4oqxI07xGDCutKoQufjGRm40Pt8smwhSQRTbEcIkkZQ+1JGID8U2qorrYxJpAvue2SKkZf97tmLNR5Y44cgN832vRJYEJF+FkuzJIe6MrVPmikr2nBGNaUMgORwqN21US1ZssJDpIlPn420IsTOKLpxBV0aNpuvDzJeR7K6BV5+C6QZST8bbXtYj2TGo2acIc6Ft5HGX3l4qYSRkNSmEN96FRF8Zxpq0Eq+jE5+XtltzsPZ2VsJ81/xhEDv+qQ61uwyUX7UVzV+b2t90/nkXy20mB0Jxzjq/uwWJIeU+7zvFROagMj5RaUz/vxuPuL73wA6Y550ORM5jEjv7lE3AwNDCu5EXGHosOz6417Zr1y4RcKiAOc7oRPnbblPj/6OBubhvfvObJXyYe3IEV7ne8Y534F/+5V/GvQ6dtLx8/PnRMNX9P+7XffrTn8aPf/xj6bhlBEo1ent7MV0sSXKnsfzAhXHWuvW/dMtIMK5rjP6HVr2Hx2ktL2dWmSaqCV50vVhVCuiYjdQ/iUqJb09UwmgMa4VCAK08w5CVwcKrikyJK88Ov3mr+nkh0P7ppUf0vI5O2IV1GF6TFsdsYNfCHi7DT5mytM8cPOaoxfVvHO0xakM9JlRZQ1glQ3buHDG/mEiSKQchDNdHeVW9kLhyRv37Itlb88U7YDbUI8wXYFx0GlL9IRq+M3625XKDVVuL5q9vQ9frt6o4IK4nyN4cEGSTsPryMNgDzD2fe/ciufZk5Fco97lVVn/bjJvJ3DhCnozte4DwTNnF48j2aD833rmLTROZn92A4ddvFYLn5Dzpsl3x/XvxwMc3I9lho9So3LqMzznwrq1HOHOJ4LZ7jyB8VPA0lifGGhqmi7e//e3SQ/u6172uQqo4HuWuXXVm7ngZe2M/nyk+8IEP4Bvf+IaQyfe+970Sy7Jnzx78/Oc/F1VyJtDkTmNJgJEa9sYTK00R1ftyY4OJKx/HnH+EoYLErXLZ6IvowqP28WiwcKPWilgRKao2DMm/i8zYsqyeYP8tJFyWhG+pwv79LUicfwYGNtci1V1GkGDYcCg5d3Sw8jERYpeqGoszLJrGmIFo59ECkv0+EoNexRyAkiuj2NAKECQMhI6FZKkEd8upSBwegnvySmQ7x1ielzligkWHeJAIZWVAwIf5prsRnnmKqoTjZXp6UHfN9Rh+21as+rgihHwuik0WqgdeA087Q3Yba6/bie5nKPVvLIxEouKUZRRKDD6vzb/dCdTXodSYAVatwIq/Wmi8tRs7Xt4MZ9jA0DoHq/8yjNLTH4HkL2+a9HdcFsHheiw74d7aTGEYBj7+8Y9Lhdn999+PdDotIcQLmaJxzTXX4Otf/zqe9rSn4aqrrsKLXvQibNy4EWeddRZuuOEG/PM///O0b1OTO40lgYYdIbyHHkbmtFbkVtsI0iMj2EoMStXHmFBQvRvbTCG7etyhi4+B8fg2PtV4QNFS/IH1ZPGun1SVRWHIEfljfArP51iXLtEgHSA5AAxsNpDZb4w7phVn4RLIRfQzDtJdLsr1lCxJ5gK4rXbFTBGPZkkSZD/Rj/p6peJKET8vbcIqmjBJ7CwLAxesFGWPTxlL7XkbuXNXy/Nj51Kyk+XkfLg14wfrLme03lWGv93EoS02zKGRNzP+3Ucm6K/8N/U3yd23/pdtkVF5NbiHl+w2sPsNm5HdD/iPOR/W/906qp2CRLFyed+vqHdtn78BwTmnwCh7WP3RbSKIN/Uo5S1zqEWiW6gueumsKLrJVVux4v89OG6O3ijEbwCWKjS5m1fU1NTgwgsvnNJln/vc5075dv/rv/5r0svQH3DmmWdW7kccaPz0pz9dSOdMsKQaKjSWJ7ifM7TGgJlOofdkW5Eom4vgSqlgCHGcb6fCjdVfvvTOyikcIXUxwiiDLSJrKscuyukgmeOnNFJQxYvbLIoqT4+XdesD5FezHksRvXKzD6/Rg58JUGzkXiAzxdSu2e6PjU7sXwrEjrC7h2GWAxlPk5ANbEgiMegje4iZd1FjSAhpQ+BzQXJXWKGW9SU4NwCG1proOjsBu7kZA885B+muMkp1pmq8CFWGXs193ah5aBBW95C4aKkylbNzUzfG0eJSUlP5t5nqmd5/f463x+7U1X7/etTvCbD2A9uQ6fKQPDg6XX+8PtlKll0YILj9Pvl035Vb8fCPz8Lu12zCrjduQvu/b0OqO9q7awMSORVzdOj5J0/8u23auLSJncYo0B3LRqpqt+zRTpOBaRokUFu3bsVJJ52EDRs2jDqNh+pWK7ZjcEfvlltuqXyfNag8b6oBxGzJiJ25VOx+97vfyec333zzjBVErdxNEeb5ZyC49Z5jfTc0xoE97CPdbYpLj6oYSQHf/QupIyELDIQsrw9GQnOFzo3NwRv1kSPE6HMyESF4qvHC4OesYeBlpe1CVZTJWJbqncdFf36tnLTiouWBlONbI5RGC+7pkdixFq2yw7fE4N//ILDiPDhDtMgyXoNmCbOiAsnjRcVtWKl4fCzkcsUqZTUBpDsB/8RVUkPGXbtYjeXjS0etSKi+jzBFtmwgc9gbFfExGzBeBdFYcymAESYS3zMmv3Ey2CvaZJcyBsetqW5F4BIDHtA//cwZumnX3vsg9nxkK4rtPpDx5fP179mGzl+cgsHdDSi0UrlV93ff+7eOcpubZ5+G4E5FEieLRamOZTleMTa6c6a3sRRA80Ft9MaLcWcLHYL87W9/u/I5d/Ne8IIX4Ctf+YqUKMQGCe7wTbUW7TnPeY6QwYsuughvfOMbpZP2m9/8ppgrWIk2Exghey80RtWPkW1fimfBNka7bjQWJzgSOvDoJNZdtQ07vnkhWq+10X1+1BEbGR5kZc4zJL5ECAF5GR2tFICorgnRUKNYIYA0ScTkkK/1SL1DIsq4K1EWVLdJAwWJGolfudWVyzndjlxXlENeJ6ox4/8Nq0dlvYmKmGDwsdrRyxw0sOKzS8tg4T3hAlgFD4UVqchcYWC43VL5aNZIjZuXjcgeD8RFjrNjAqd28+p3B7KvR4JXqrekGovXpXLXckMXwoQtZgu/JoVyc0qUvfHclhqA/7jzcWhLUkaf4xkWJkJcM8Y3u+z9pYnJXrMa4cBgZbdvKtcfCxI3RteQ4HunDmPD5ffIeoJ73iZ0XJhGboOPldcZlWy8yu01NyNsb4bRn5swKJxRRPJmY47hhS7+jP+WMdps+k2nckw67bUfhZWcXQ6aXyrivi//67ze3+MNDQ0NswpBZh7eX//6V2zePLqvefv27aIG0qwxXXDPbtu2bbL794xnPGNG90uPZTWOe3DXp36Xeo9yyqcH0Xx7vxqPktyJa5VqWhRREu16xapRJb+Oe3JxQ4KcHylqfIVIT+nIAl6itsqmHgXycozkNqqMCRI4tzkaS0VvncwaF1bag50tI9XNIFkDQSZAmPaBxrISB4+cZB33MCQnzZS8NDtP5U2NqZN9oeSZyWWCaN8uHxE7jtW5phftQib7gez+IuoeyiN9IIdEjldQ8mv2kItye53qUR1i2LGFwRMcTewmgPXHW1H/0Pjv6dmmMhFIzEio6Ja1DiqSRmIXll1R9yaFaVacrQwEjkFFjjmHyT4geXsWe668CLvefRacvoI8/2t/B/RtNrHrP89VN5PJwDrrVGkroSI3WQPMfBC7YxWFMtuTxtyGIHuehwceOHJvledNpb2CkSqsPmPVWIyLL75Y8vNmSuwITe40jnvYm0+q/NPqP6sJ/l33I9lrjpC3Sr6dUvPi3btqh2z1Pz41uo1YHj/Kbh1/kFLvfM9UMSthVdwKX8OeASMyWtBkIft2JIieIV2nHOeGgakcoszKo+I3zMuPuBeXGrhv59bZitwNlOFmSfRGRq7VTR6iZMbEOxrbstqt2ATk25ViYfYOyVg3VvWYd1dsduDXZ4TwmcPlSp2cxtFRs6846s0ECZtgCiMpGiXogA2Lyu5NxS4oTcP6Hf+MMQc+2YUV4w2Uitfu4uFnNqHtFw8ie92DKK70cPIniuh401aU/+40GD0D4pKlUUNDY7YhyPkofHu6YPvVK17xCgkrpoLHE7P3OO6dSjMWc/l+9rOfYa6h/w1qHPfwtu9EbZvav2j4xd0I02lZyi6uUvtvkkNnRSPUkhEZKZSCVB1kLBCn7JhQ4zjPzvER5hwEJGnJAAZdnGVDCAh37BL9JsqNPgxXBRybBe7imfDqfCBniytQbi6tRsV+nYfUQRvFGhOZwwYSg+GMOjYXMxKdebhNaemAtXqHYK/OIJdhSb36vpgq4rDn6MAu3aayy6giUziiZRzK4MYMGvIu0p1lDK9KwCrTyKLG2kTYP4DOZ5wgt5l/7kXI/JdW7ybqSU2evBV7PrpVHvOGBwPU/qBHmiQ4Zo0bJSa8jWSy4oAlqnfyjoZRl4m7giO4NXye1fPOuKDaexwMrwuRP/9EHN7i4KT/zGPnixux8QO3i+lItiu2ngN/TIvFkoV2yy7KEOR/+7d/Q3t7u9xObIrg7h7z844WgjxeVh8z7Wa6XzceNLnTWBIw3ACdb9iKti9sg1Vfr6JIZJyqvk8VLSZ2lZ26eI+ukpMS/ecLqjTtePG8Khg59DlXDBAGBgI6/7g3F5pwMyR5JoIwlHGr2W+NEMesD9MO4BeZ0RbCGRL7LcqNAVBUP4wjxrjJYanAPNgJNJ2AZFceKJWR7CnBPSuDgIHrUUi0gBNwqYxT51G54ZjOjXbx4u7Z4poalSNY5hibBF2R8WJrEpnN65VJJYNFReyqw3wXExgYXPuwItDyOEYob1wBcwJyx9GtjEE9D0a0QD4W1aRvrBmjgvxoV/iaD29D5z8r57i0aDjAut944n5mSHnHBRm0ntOBoaefjexPot27CYgd1cjqOJYlAU3OFl0Ismma0mbBE/cjienuM3K37oMf/KBUnp1//vlSa1YNnXOnsXxxw51oSZ0nn/oDAxjaGCB5WJEnGh4YQSLjWEMt4lfCjKNXQKzUGaMaKFSdWNxKYXUkVa1Yjlv+KgoldC1RBP2kIo9+kysZeGaCMSg2/GwAs76M0DdgJ30kUh4KAZVF1nJxNGmi2BIi2c/7FWDogjVIT0E1OV7AHS0jWIcg6QhfZg5drLRxx44nKnNmXBcWqvOo7HFsmxgwUGwLJLeu5foudG9plbEsb4PtCH7GFpI33G7DKqbR8r3bcPhV56H3lVvR9I3FYU5ZjMQuzrLj47TyP+9XZ9TXw0gm4A+7CLeeA7NQlheEsWMvwL/lOMokGqfG+3fjoXLZCRS98YwV8etScg8DEjqnou7K2PY3K9D+k8mfV4lGGRyCvf4EeHsenvzB0DjusXPnTlHgHvWoR0kQMb2iU3G+zjYEOd67+/Of/yw//8UvfrGcd/DgQSF5zK2bDHTG0tjBCBWeqsHfQZM7jWWNxKHBSvdlsseU0WypJRSCpYQ5KmxqX0tVio0EDo/atYsRXdBgBVMmgN/kwengpr8Jv9aDUbCisWwwUp1FUpen1AR4DR4MZ+T2vJIlOasGd/joqB3m/h5Qs9eQEWNudRKp/tGjqqUAq+BK/yscB2aenbDA8EoDNQdC+EnV9sGwWqo1PIhzqV5aPdiMsCKAnTOR7C0g2HcQ+We1Yd13diBsbUSYSgjRKJ5Uh7ZfPYSwuR79zztXVL3FQuwWO/g4lZ5wAZKHhsRt7D34ENDZJS7nsNZBoqeIYAw5re5wnUgZG6ucVRS/o4DVgfK6jNZlZc01WoNSgdbA6j/14cCbt6L9MxM/v4xGoarI8GR7w3p4D+3B8Q7dLTs+6EZ94QtfiD/96U9ChHbs2CH5dNyDo1mC49LJ0N/fj5/+9KdCzjhOpcGC41iOalevXj3hdR9++GE8+clPltiSUqmEJzzhCRLTwtYLfs2IlMlQbaaYKyytGZDG8kZOHQnMZEqy0/pP9SWDjgRMBRJHJojqrtkYY3fsqvLuqi/HsZ+QEJfGAObY0XARKhVPAvINGcFSqZOAY7p0GcXC3lkvKqotqigQjg95l9JdoUR8ZDpdcZcuNYQmDSi0wzL7ZOQxjE0tcpmodzfu36WSJ3mAngFnEOg+Jw3jxDVKwckNo+/cZoS2CXOoKMHGQU8viqvr0L/JEBLAzlKNqYcbhw/uFmJnnXGyZNgluvNI/vluWAdmUOu19Rz5MN2RaLrXF/W2OnJSdjMjJzldswce34ja/VMMKzZMGQ+T2FU7c4/7nbvZnpYYuKdm27aQq0xmpCTvhS98IX7zm99Mev277roLJ598spAx7s+R6MXNEkfrlq3Gm970JlxwwQXo6+sTxXBsdt10wG5bRqhQCZwtNLnTWDKIVQE690gaEn1qZGoPR/t1sat1lEU2unJ1tyz3v0rxfIj9pdHluDOXYF2WIbt3QdpXGXkSh2IgaPCQzLgwLJUSaxZMGIxhsULYiZGdu2SHJWMnrwZwa4HhdlY5leD0lWAV/SU5MnfbauG11MKrT6HUGMrvnsipEa2Mp23VfUrCx7G5kwuF1HEs23KPh5oDAQbObEL2cAhsXg83a0hfbX5zCxL375cDefcZjlyHZLnly1q5mw4CFqaHgVSRBcUSwru2SyC0d7hT1XpFsNetgcnO2KZGqRjjGymroUG9oYpiVKz79sjeq1w+ij0hJlLt7FM2Ib03h+avbpMGk1jFjRVcjpDZdcuvsz8dnXXHnz8erBWtMFJRLpzrilFkrmGcfxqWMq699lqJ41i1apWoYlz6r8bLXvYyOb/6RBWrGr29vbj88stlRMnRIxW1XC53BMF65CMfiVQqhbVr1+ITn/jElO8j2xxIzNjyMHaP7eGHJx/JM3KEvwcVP/78GE996lPl958M1113Hd773vcikUiMOp/mjAMHprZiQ6cuHxeS09NPP12IKsFA44997GOYCTS5O87Bd9kaI4iztlZ9cpva6Ro24NaEMEumFKbHI1jpNaU5QlQ61f8at1LIql2aycJRiHHKF4JmWgHc5qp3VK6KRDHTnjRWGAkfju2rBosIVsIXNc/kjXaofxx+Wn2fmW4keXQGWrmSUrX+MrEz63iEdeYpKDU6sHJFGB7ryNR+naofY4VYtEAvJhhF8ry0IVVkdbtDpA4XkFtlYniFKfVlZmc/mu4rwNnbjczdBxEM5bDrA+ch0xnKieh6nVbuZgpWh3GcKTV4rPSKar1I2Ly9+4UIGpmMjD35RootHvxI8iZGiv5+GBmlYDCqZCrwHthRaZuo+dEN6u+Dxpki0P7pEaKe6lVByNXPr1E3/v9A3h+/o1NIKDxKxXMvW4W3qvu8VHPuWM119tln44tf/OJRL0MyR5dofPrBD34w6vskdvfeey9+//vf45e//KUQple96lWV79OE8MQnPhEnnHCC7Jt98pOfxFVXXYWvfe1rU76P1YpdNalMTqG6ixVfr371q484n+NYdr5OBmbZsZFiLPbv319p0ZgMVAjvvPNO2durJpiPf/zj8aMf/QgzgSZ3xzmYN6VRhdqRf/SsrXLrAtiMJPGrRoCsCAtH2iHifTmrEL0cuDvnRcpbPMqgMjeUGHHe5k3VVsGrS1iyqhYLQkNME1TvYvXP6E4iiEKQZUwr40el+EkmG+9LkkxnCQbdEXQPW5RGQwyvSSG7l6NywEtGz0vUQkGXMlU7jmQJEuz6HXnVPJEAkgOhRKIQ1mAJ4VAOQUe3uDZ5/eRggMSQLyeN+UGskjEqJc62q97BC4sltWtXdd5MwFxEkyP40WIIkv0BDl52svwt9Lx6q2RcknDGquJYkKRKzy3/BgcXp7FlMY9ln/KUp+DDH/6wjBiPBhIoRoHEJ+65xbj//vtlNPqNb3xDqrUuueQSfP7zn8cPf/hDMRwQ11xzjYwjv/Wtb4lqddlll4mBgLlxUwEVv//4j/+ofE31MAgCUf8e85jHTHp93v/Y5VqNBx98UNonJgOJaXUFGn8+lUkaNaj+TQVURL/whS/I41NtAuHjwT3AmUCTuyUA/oPTUAgOjhxUGh8swBlgzh3JA00LaodLXVCNUmNnLBU4OmqF9EX7c/JOt2TKjhzJG8makfThNXnwaui+VWYMKnqIRq+uayHheGr3joHHZQvGiiK8fVl5tVnDFpxB7pEZSAwBiX4VSZFbn0WpaWYF0Ysefii1Y6VVdah9aBjpHrqDR9o9CJLcIKkei7g0PtVpovPCLMySqnSzSiGc7mH4a1rg1yVhpNMIzj9Fxoatd/jSgEGY5RGTzERgvZXG1EEXOlU5gqrd2DYLnmeuXDEn8SON37oebZ/bhtYvqmijGFT1GreXUbe7gHR3IJ228T5dTPLGA7Mj6VpmjqSGUsuqT1z8nymoNrW1tUn91mtf+9pRdVvXX3+9jGK5k1atRjE+5MYbb6xchg7X6rHmk570JNk94x7bZCCJo8pHIkqSyEiSM844QxRCjmsnwzOf+UyJIWFTBEFyxbEoO2Of97znTXp9GjYYYXLaaaehWCyKWzYeyU7l5xNdXV3yGI6nSk7F8TseNLlbhJhu4nqwW83nNdQBJoZZYnGpIgvxEr98FFdslXXMDBHQ8SpRHaoajOoelT3JYuNolioCL8MRa5JGDWWqYNk5XbAc3Vqya8fcIzXCVQjhDyTg13uyo8fr1z4ciiNUSGeR+2VKvYrJyVIDq5/oBk7evFP25OxCiGyHJ72wVGikDERiaiAKnRDmElC7N5QRbblNqbFJOok5xq1NSK5h2FgrUTJGwkHmYKFC7Mr1llICJ4GMHTVmBGtl+xE7dDL+nEP1mXEmosZZYw5ThgG31kHmZzeomJWhKU4vDPO4Dgify7Es99rYVxufrr766hndJ45kqZrROEAi85e//EVIVjym5FhzLGmh+YFu1HjkyY90pVYj/noqY1ESOapsVL2e9axnCSF67nOfi9tvvx0bN26cEjmj0sb7WSgU8OhHPxonnXSSjFQ/8pGPTHp97vpxpPqv//qvYu4499xzZU+OP388wjYeSH7ZbxsjJnRUPLds2YKZQEehLAC4gCwLy1NEdUbUVDCd217q4Lvz+PEOb7obzqVbhdxRJSNxYKYamR3PU2NZ7t0pghGTuthkIaQu/ocYRaYw/sSo9xHUedI6YdVTpQNC7tyx3iw04Psmgv4EjESI1ENJlDcXgK6kjGJJLu1SiLrdReRXJSU81ioGMopcivt2McSoXCjC2d+HZKpVxrR1+zz4CVPILY0lXJYnKaPTmWkxjXcNwEs1wCwHQoJJBAtr6xEkSAotWDmg2OTAOHsjrKEykgUXQdpBkEzDT4SLKutuqUGaLMZEm3D3ztv50Jz9jMGzWoXAjYXz25vVz7voLFh7DgPZzKjQ5KMiDMT4YTY1jBob2xtPhLdr7qMoFnNDxb59+0YF7U5lN208cIQa48wzz8RZZ50lhIpq3uMe9zgsFEhQ3/Oe98z4ur///e9FfSNJI9E777zzRGGcKkhY/+Ef/gEzxUc/+lEhxffdd584ZT/72c/K59u2bRPCPBNocrcA0ORrYWE2NyGI/nnTOck9rlKjikFh8wEzswKKaAk6LtXum1wvABK9JkrNtHBGZI6jV+6CmSESDUWUe9IISpYySdSXYdk+PNdCsk5JRSR4ns8IhrIoduX6EMEQ2aWKSzFdS263sCKJUr0Jw1Mj49R/H3kQW4oI+/oRWm3wUya8lAG7ONL9y7F5YgBwCiHsfIBSexaJ4RD51Wk4w1RSaWDhDmUopNDKJFB3bw/QN4BwRTPChI38qrRk5zHoWGN+UU3sOBqdKrF7+MNbccJ7JyfdfDM2EcIb75JcSzGV2TbsE9bCe3jfhNfhnmD8vyHGcUHs5pjckdhNt0VhKmC+XEtLiwQKk9xxB6+zc3SINckLzQ78HsGPHR0doy4Tfx1fZjJwHErHLX8W9+3Gjl2PBo5iGV9yxx134O/+7u/kNBNwf5CdsuP9/KkEEFN15H2g4keSTAcwCSZH1vx6JtDkTmPJgQpRjNZrD6P/whVKIStFVVaMWeDiPuNMonEs5TmSPLdO7dZJCwKXsCNFjw5YMUWYIayUD78/AaumLMSOCHwTdjSKFeWuK4lknyk/TyrGZCoUwhng+DWQHTQ2K3A0ib4lGD41BnYhGN1ukFLBzUS8dydEl4kcUi8WSixMYNvyvFlch4naLcyyjyBpwcsmYD3cgdDzUG7JwghI+gx5TC03FMetxgKh6jU3Hg6+c6uo5jJ6T47+ezcecaao7GPhZk30/dMWNH77+klNZVI5ONXx7Djg+HeinT2NqYEOUe7csVuV4EiRuXF0wbJWi2DYMAkQDRbxZai6kWjFva5U0rjDV23OOBpo2HjJS16C7u4jG08Mg5OUo6+78OetW7duwstMhu985zvituXOYHNz86gduem0S1Dx/PrXv465gt6501hyiJe+K+/KQ6Bxh4d0TyChqHRq0oUnO3VCKpT5Icj4cuChsUL1noYw2TZBTuKZ8EqstFBEUCrFQkX6JKSYl43GsiSBYSJU1WcklCSF3MvL20jkgJodfUI+SGSSg0uf2BGp/QOSm8Yaq/TO7qiZYuSfoLhkaWqkCXkogJPz4KcsIXnxeaavHit7qCTKH+vaCuecgPK5GxDaBvo3pVT+nWWg+frO0SrHxWcfg996+WCiDDv5flqZZtx61c6y83MXV77n1o8/EpRe4aq/kUnNHr19R61DmwzHA7E7FlEoHFFSUeIpblLg5zQc8Htsc7jhhhuwZ88e2bvjzhv31WiIIE499VTZy7viiitw0003yejzDW94g4xzmZ1H0IBAYsScN0amMPqDY0nmz00FzIJ7/vOfLzEsJI3VJ38KpI3EkvtyVBNngve97314//vfj4GBAXkc+BjFp4cemvqaAu8rWzI+9KEPyelnP/vZrMKMtXKnseQxtNZE/W6g9gc3iBJgMZvOVWHEfH/DXTijaALpAGFkekh02yi3hGKCIMELU76YJHzLlBGtO5hAqrkAt2zDSXkIfAOeacLtTMNpK8AeNBEkIzftMIvPTdkpa7ljGEOnNClVSXpUQzjDU0zcP44R7twrsRTmijrAD5AYDCrqjATVRgcvhhcTrGJja0diwIeXsVCqo+s5lP07mCbKtZYEP7NUvma/J9/LdJoyriWR6LqkTWXnxbjhTviPOx/WH0f3NmosDNZdtU0IHZVyEnHmTu756FZRa5seCDFeGpg0mExTfpgLp+5yGMtOFbfccsuoOJGYcL30pS/Fl7/8ZRmFfve73xV1jmSNsSAkJtU7fIw6IaHjmJYuWTpQP/e5z43aeeMY8vWvf72oexzrkixVZ+FNBI5web/GmjKmCkaQcIzM+8+svWw2O+r7rCGbLICYZJW/20xBUsvxMQ0kVCwJGlQYxfI///M/YhqZLjS501jyKJyfR/awir1I9QUYTtGaqcaBPLgYfBVQbRO3rQo0dleVYBRsIBkgbHBll45B/VYmeidF8wVl/YQnY1jLDiTjTirJAgP+ijLMvoRSpMqGCk0m2WBAMlVDVmzxe15YWRBf0ojDcJnn53qiwnFEV87G7hX1geNXGY9nDDjDDH/m4xaqsSz5sGlgcFONnMf9uxhm0YWfSGG43US6l6poKMpPNcYjdhKjkS8c1y7K4wVhMoBhc58VMPKmvMGS14NzlMvzjVGk1mocG1x66aUIJwh//u1vfzvpbdAZ+/3vf3/Cy9CIwaaHmeDv//7vxcAxFWfseHj2s5+N2YCK409+8hO8613vmvFtvPKVr5RMO5LpeBTNGBg2Z5Dk0lgxXWhyp7EkYdXWinOW2PAiNVIgsvuGUa6tFfIg+3cJNUIVU0XJRJgIFMHjwYXBxGXuzYWqhcIIYdFgweX/hrKMW8UFSj5ohCiXHJhFA15/Ekh70ohhuECqy0CxlTtkhuyKuRlTjASpXrK7pb8XZp2xWXXL9vbLblZYlxWSRhWO43Eqd3wuCDdtoNhoCfGlqkeSRmLMsaxd8GEPleGnMnBryLQNOPkQdn8BRt8Q3LPqkOoLhTCS4E0F5TUNcLpsQJO7ecWO71ygdib5JojZj54hzzur58q1478G2GTC3VQNBe4A8zTb21hqoPLGsSzJIc0H8d5ejMl23hg2PBswRubpT3+67P6N9/OnEsbMUXc1sSP4OaNYLrzwwhndL03uNJYkYmI3FsYuVsJsAIwkckmlqJGhUYejsETzBFU5xCoDjy1U46jOWT5s20e5bCPwDFhRuwT37AiOZtN045I4JszKqJEKUrzfFzgmGnYWZTQVGopgLnUYg8PMWkBYdmHU1SJk2K2nWisk3y6uhHOAcn2U/1dWqk08vuZl7ZwLc6iEoXW1SPaF8FO2Gt0lbBjZtLqOS9NFNA6fwrqK+efbgLNOnffHYLkjdA0YbGUJ+IZHvWGSpha+to6m3Ilqu3DNG9W7uosSx2AsezyAdWcc67K2iwreTAwN/f39su/GNgjuEVJt5DiWo17WkE1G7qhgxuPUsT9/Kjj55JNlvEz1rhp033KHcSbQ5G6aCB593pLOI1vq4D9wu6+IdNaGl7SRX6kOIKoei0QuiuUYcGS0KkaJgQQCO5S2CTtdRoHjWhNwi2rfzh9MwGhVo9tUF1BqMLDy/0x0nq/y9QiTgccGc/ZMGIGJzMOD4vC0/3ALljr8gx2wGutV36jN/UUbVt6HW2fLSC52MJOQCdnmw0vlLq1aRXjwZxYge2nL7bVV+1gGEv2ejGnTXUlk96vsQIbcluoMyROcDEMvuhgNv35gAR6F5Y10YxHlki2qHYkd91EJrii4NeMfAPm8M/9wIbDoiZ3GhIaID3zgAzIWncne21133SWZdtz9oyGC5g+Su//6r/8S40h1tdnRQpBZncYR6kxBgkgSyk7diy9WZiMaVdicwd276nq0qUbYaHJ3FNirVwIHj7RWk9iZ552O4LZ7cazBRHjpTdQ4ar3UeC0ELChP3mMhdfYp2PuUehkRSQ0ZO2f5ucleU8pFhigOTs5E2aHMYCDPrLqEL0qeeTiJUgOZSAjXtZV7NuqqlTgPRngUQ4QNBsqNjEExUGqwZN8u1enAKi3NRopqMHsMxRK8jatgDpcROpaol4YfyN6ckDQ6lZlpxrU8PpzlaC+xwUDNQda8cYRnwG1IYnhlAplOumkD+EkTmR3dGFrXjnKdjWKDKdmFvM10VyA5ghOh8JyL0PDb7dJwoTF3oGmJzxmjT1ghtuMLF8Eql1FbW0ChmJAd1TBrwC/YonA7Q+PL1xI0vgyU7aliJm7X8W5jqYGVYy984QtnbGh461vfKsSMNWZspYjBXlg6eScDzSMzzceLwbEu8YIXvKCi9sW7js94xjMqX08W7VINTe6OApZMH01QFWLH7XrO8RYAzHCi1X8sNLGbOejctDr7ke6qV+pANPKQf34kGU4Uk5KzhWyYdNO2F2E5Pnxm2wkhBIwyR7DqNqnccZRIEuel+fehdobEtOEDiUHVj2pLzh73zayj/o0ttfwzu2sI7opYdTMQOkrJFMT/k/mQSd1blEUYAuUatXcnyiqNsqwr8yB7eZkOV4ijBBzbHLEbUlfGUnmSwcn2i3g/GJ8htVkacwLz3NMwvFqtOzAzkuVLZoMKcS+WHSQTHsqehYTtY5ivD8OGWzf+QVnGtgng4Du2oukBD6lf3IRlDT2WHRd07jI+hXEmM8HNN9+Mr371q0ecz3HsVOrP3vSmN+Hzn//8KAfwdPF///d/mGtocncU+EM52MYE//QXiNjJfYmInVbqpgeqdhM9ZgFzsYrrxIZp5wx4ddwHUgaL+B+pTdVucwFBzkEq6cHzTIlE8cqOIiC+Aau2JL2ybl8SvacDq/7qI9VRhBGkhaCQ6ElgMsdMGQPNdw3BKHswEkv/5cc9OzI2w/dRbkyIskmlzioF8FI0lghPlkpSHshF+eRluIvHxpBhKnzqOvsfk0TmsCJvxOD6BJI9TUgM+SjXWdJsUbfXk9E3Q5LpXJ4IxUYTbKMzGHCtQ2znBNvflEFdY58odA3ZIvCnNTjVPIyib2OwmEJdqgg3sGAihGkGGBpMY8Pbx3eLc3TrsQmmrIK/NTTGA5Usqm7ce6PrdrqGhmQyOWrsGYN9tYwimQzM72Mw8y9/+UvZmRv78znenQzss51rLP2jy3EOM5OBYZoIGcqYzx/ru3P8YQISHpZKsoDfdkuIoXXMpeOBxBDliH2zKFpwV5YlgDjZXJCDkeOEKBzKws6b8Ot9ycfzS7ZEocgSv2ug0GQiMWCJ25NuTi9LkqjGTOleNWYsra5Doqe4FN9IH/kYc8UhyrQr1ZpI5AKglvl2JGDKMUkxlIqcqHdRTAyfgnyricRQiExXgMYHQ3ReGKL2IRPFVvWY5ldnkFtlo3a/h5q9RZSakiONF8HEo0OODamKG+2tQP+R/9w1po/ahjxyQykk0y4a03m0pIbRW8qgxlHqXcZ2EYQe8p6DtOPBzRy9mtFPBQgcQzIil6LLc7rQY9nxcffdd+Pcc8+Vz++5555R3zOmYGhgvhx323784x9XrsNdu3e+852SyTcZGhoa8NznPhezxUwr1I4GTe4WOWJCR5J3tB0yjaPDsCwZwY4Hnl9/3yDw4G4Mvu5cIXZCKqgU2SEMRqO4JsyCCbO+KPViVCSs5hJ8JwFryJLLkQhyVEt3LbO7kgMBQMemBRQb1IiK6oOoeCklU7FdIbSXQUEM/7nKrFVVg5E4k9SxRULUufh/rzhiVZYdz5KIGZ5PkwUvawD9m+Q7GDyJkh4P/JYodiR/9rCPwooUTIlOUY/x0chd92u3VnIHjSTlQjZn6NHsXIC9yn7RhpEpoy5RghdYGCyl0FDbD9sM4AXqb577qTbd51aAHd85H5teNk64tDip473M+V9gWPT/X/VYdl5Gmp/61KckK6+trQ2FQkFUNI5jWYvGKJLJ8O1vfxuzxWwq1I6GZXB0Ob6IyHggsePBcbx/PHpfaGIE5aMrA4Tx0D50vvRc+CmaH1QFVqKPe3IkCCGMpK8MFoGJXC6FRMKD7fgws2rUKxEnJG15G+aAg0QfFQcTbp2D7GFf9vmoTJk+0LSdTQpq367Q4kjm3XIYy/p79gqB4uNYrgXyKwwU2uiSjPaqeBCncqc8LJVoFJ4nppRyiMMX2Uj2KtLNFpHUAVu+P7jeQP/JNFywacREqdESAs3bqP3+kZ2kAy/ZIgqqNJR4QDAwREYCb/+BhX9wlhjYQFEYSsLutVHIJfFQXxNyXgLrapUTtcYuYaCUkhFtjLJrS67kg984MssrdAKAjTFxfd08IyiWpn8l7l4v4fqx5YD6+nrpsuVYlXtzbNP43//9X/zlL385oq1ivjDbCrXxoJW740BlonrHd5XjQe/gze7x5dft/7sXu165Dk7UOx6kgUQ3i+lDoCEAGkuiMpSLSZhZdQCQvlg7hNNvAf2WKkOPVCcScZKLfKslxI4qEW+bSpJVDjCwuRa1ewrwlwG541hcHnM/EOLGUWjFSBGZV0i2KipeXFgRkT2OtUmM/VSIxp0+QsNGqZlxGtFuHpU97jLWWFG+HUd4QBV/GAWqh7FxhgprUCrCzC9iteY4wd4PbEWY9JCuLaE4oN5wxvmPGbuEvJeEY/qwTCWneqEpb5iy6RLKRaYVq8vu+NJF2PS6G+XzuC1GXof+AuzchcG095pNxwYmfv+oMQ/gGPQ73/mOxIJMNhL9r3F23hh1wp06Vp29/OUvly5bOl5n63qdKWZboTYetHK3yFQmM5ka/3uFAsxEZMvUit2MEAbhuMS5skgfRipbCfBqQwQ1vhyg0ln139upKYvTz6epwg6R6GH0RuSqZatSTi1/c6eOuWzSmRqpUZlOXxoZejfbyBxieFsoQcZLHSR2okiXSkqZsxRRc2vVLmLAdoqY3EURMvH5VNYyHR56TjeQOWjAGSijbq+PlTd4opA6Q2q0axV4m6rZQn6mATR890jVbvAftohbmYYMXqZuBxm3ibBparlRGuNj/3u2wsuEyLYNqwq+1pLkQw7nk6hzSihG/WIF30HRU5+nbbdC9Bgr5PRZ2PXvWyQ8nKCSZ1iB3A6fY7e9Tpy4844pGuXiNRkZ6S/0WHa2pyWitsX7dPx8otPR4lNiEwW7cbnvdiwRV6jNJbRyt8hAJWE8kNhVjxiPeHe5gNEsxy34zvwo6ugJ798GbDkbnRdm1UI/+RfHe76BUmSY4EGIvbFkBl7OgUPxbthAuoPNCoaMGbnobzCF31djQ3GGcgToh6IucTTLEWKpMSUuz+UAebyzGQkkFrcsHxeGQqdV767sxvGgE50vY/Ck2rPjY+bWBUj0m+g/OY1Mlw/fMdB+4zCGTsyg2GhIA0gchkwVr+E7RxI7ggpq7b6y6qTlTt7uA/K68u/ZvuCPyVJCuYHPZYDWmpw4YQ/31KOlKYeegSzu727DyrpBDLsJrMjk0JBUKikNFQXXwVA+hbBsCuF3hkx4piLoBvMk7VBaX1jhxzUH58EDFGuPwFymCEy0ozsKXJMplhAEMxjlzgJ6rDqy50YTxNve9rYZ7bxt2bJFOmXPP/98yY9jgHD6KNMxBhQv9gq18aDJ3RLZHdPEbmqY8B/39Xcic8LFI+G38o9UvTukWmeYAQLPrIybSEq4u0WFjvt6VJxEeUoBiZwiJ4z64HmGF3LChFRXEYMbs0h3uTCriu+XOsLuXhh+m9pljA0T0Rg23rGLYZUMOdgzh254hYlEv1LyynUGavcFcMoB/IyN7IESAispjkqGF8vtTjCLkOcmbcFIWchs7xYll68r44IzEd5y97z+/ksZ4i5PBqLK1SaLWNvai/5iGqYZVohdpaIPhqh78dfsZJaPdKmLeQbY8c0LYZi+RA6FlW66o7OauVxNmfT/bPwzebmQgeYJPZY9RmArxWte8xpkuJM+Tfznf/4nPv3pT0vdGDEwMDAn6h1vgzVox6JCbSw0udNYdrBXrYQ3pije3rAeME00/HEnes44WZEEjlo7HHhU45wAYZ7Lc1ycC2UfiIoFx4VU7GjIINljnId0pNYaSPeEsAvqoJTZ3oWgIYvu8+qR6gtQbLJR9/9uG1eJWIpgJIpdZO9rFBbNxypQxLh6B0/28tIhEv2G9Mzm1gdouseUpg/WVPFxa7izB3A9eG1qnCoNF2z96A/HNVFU7gNdZwkDdbcdRtjdI/FCcr4mdrOCX+PBSntoTg9jQ00P2pMD+EPHZhRKDrrzaiE97bjoLaYxXE7CsXy4vjXyJolKbR3DwQ2EqUCFgVMpF5VcxQs5Qy5QVwt0dGIxmd+C8gKO8yLX+axvY4kgbnCYCVasWIGPfexj8vmJJ56I733ve2hubp7RbdH0QFftV77yFdmd4y7fhg0b8L73vQ/r16/HK17xinmvUDtud+7Y98YHiE8CpdONGzfiyiuvlLl5NZgR88hHPlLY79q1ayXYcFmgyrF1NOOFxgjCodyR53X1APmCuDvlmEMC4rNCSf0DCVmZxPOLlopHGbTFROFxtOirwFW3nvEmQHKQu3shnGEG9bI1wUCYTkj1FnP17GKgGhWmqBIsBVDpiOvGuKcozr1oRFu5TByFElW4ceeu8T71uIuxwuOBPoRfnwY8D8U2jrYD1O0NpKViImJHMBA5e4AOF1/uj2TwVe2xaswMZpJ7laGYJJKWh4ypYlCoyiUsX4gdiVzZt+GHBobLCfQPp1FybUXguFtXZCWdIbfFej+uQcgqRM5B5hCQX5lCUJtC+WmPmP9faAoOWL52pzS+nUNot+yRmEqO3XigoSKOHXnMYx6DxCz+D3z4wx8Wcwf5RvXtnHHGGfjGN76xIBVqxy25e+CBB4QdsyLk3nvvFTmVLLm6boTLkU984hNxwgkn4NZbb8UnP/lJKeH92te+Nif3YbEZGEbFplSNZBd1TtMiQRBVYlXDHxpC0NOH4sUnj4TgeoYQN4YYwzfEuScfOTos0DShRklxVpuMadmL6kRZd3R7DgcyTnSbsyjXJ0R9soc92IXlotmNgKNp+Y9DAsfxLHcTI8erKKXRkUfGfPE0LvqcipuTCyUWxSh6CJpqkewtywidLlmePxVIXprnV8w1Zl3N/P3CywQkdmxoKfsWBt0Uut0aZOwyEo4nuXfcraMax3EsHbLslmUuJL8n5I4ninROiHDYFm4Vj2v54iKpZ7NLuSk9kou4iKOrNBYOJ598shC1iU7zbaj4j//4D+EZl19+Oayqv4mzzz5buMt0KtTmEsfFWPbJT36ynGJQ8ty+fTu+/OUv49/+7d/kvGuuuUaeMC4/kj2zBuSOO+6Q6pFXvepVs74Piy1yZNS7Rm2mmBaO9o7bSCWlRUGNDBm4yx5TQz28CcAaYBox87CYqaZGh8xhK9epQFyLYcceJFSXKhWdmazCSvYHshBOt2zNQR89p6WkJms5gQfCVFcBZtmBlTdR+zBQaIncstJKoVyRQvyohPK9lM0RLQmyIsmJAQ9WwUOQTYjyaRW9aE/LQO0Pbpj0PtT88Ab0vnIr2vprEMZj+doaoOvI4FCNqSH3m41IF8pwbL9CyPok7wZorx2Sfbt8OSHfKwcmyq4F17Xh9yfgZ7jHGqpYIcae8M1RyUJY66o6v6J6Qx0T9/wKR0xI+edehMx/qbiUecEU/5cutHKnQ4yPBEeZR3PELpSh4sCBAzjppJOOOJ+ClOu6C1KhdtySu/HABchqVn799dfjUY961ChZ9ElPehI+/vGPo6+vD42NjePeTqlUklOM8TrmFj00sZubxysIVDG9dMbGTRVqPBtyH8gJpXuWX9t5o2KmENUhGuWSlDCWg1EodMjKdS3ujAVI9BbgDNkoNmbEBLCcELgezCCQvD8S4nRXgFIDK9/U+FUSMsRgwaNPlEUXjIxpqc6Zrg+3PgE776HUnEDNrqIoq9Wj3clA3sGomgpmElyrUUFdsqgUOBhC4NzQhA1fmilsI5BsO8IyaI7gSyxS6+QpMNRLMf6ab6jMEKZRrdwBicFQdlipeqd6lNFmWpjJm99F+IY53lOd7W0sJVx22WXSLDEbQ4VhGLMyVJx22mnicuXUsBo//elPK7Vo812htmTI3c6dO/H5z3++otoRrAvhTl414kBAfu9o5O7qq68W9r+gWIT/OJY7OHbnaHZ4pS2kjoSDRxxfojlYQRH1YRlssKD9dWScyN07HovsfETuHO6VmUjt7od7UqOoTqmHuuG11cPuGkKTG6C0YpntRvLvna1hQyFK9QaG1ppC8lTXGMeuVSHG3Bu31QhcGkNYL1YI4GUdFJttZOiWTRjoP6NBGVamoUbwOZJssvg1mFlmz8McwfvDOvnosnaPO5FGICaJ3lIWKctDbyktBI3VY35gYIBmimICXtmWeBMqtUZe1ffxDRMVcbXWYMAbtlHkHh5fVGaIgQ2WuKTLtoH8ChvZQy5w8dnADXdO7c4e7X/tRP+H9f/nRY+Zkp65NlS8//3vl7EqFTyqdQxN5mSR41q2XixEhdqi27mjM4RP0ESnsTNrPoAc0TIT5oorrpj1fXj3u98trD0+7du3b/4rZvQ/jkW3L8PdKy7Xp7sD2Zsj8RDxgO+WI3NFvGtH8pfqUYHHJAtOTil5HB/KeQUgfSiPcpvaC8scyCNMJlRoMWu4EhbS196P5YYwZcNLG0LWmHEXO5Jlry4aycZNBfFuFUm2Gm9bMjLn7lXfKRyfGyjVsXYsVoEmR8+rtypltqCMLHpnaurY89GteOj756L3Vydj4H83iWEiY7soe7YaufokeaHk13UXM8i7CXQN18BEiHwhiYGhNMp5B35Z9TXLukN0ihVbEj7G4Jh5C17ZklxJ/o0U2kMUG01Zf6AqLm+kenISYTOX/4cX/d+DDjGeM7dsNXbv3j1jYkc861nPwv/8z//gD3/4g9SVkezdf//9ct4TnvCEaQtXHM2y43a2v+MxVe7+5V/+BS972csmvAz362IcPHhQnC1bt249wijR3t4uNuRqxF/ze0dDMpmU04TQZGxZtFUY6TQKzaq+Sp7yyF0mgp0QPQPpLpVjZw+r+BOpyeK+XTTdo9Jkl9RtJw8NIsgmYZQ9GKUyTDcFvzGD3LoUarYNYVnBYJuHJTEw+RZTgmnjEVH8GKJ6jTSOS/GBco2S9IQUJiGhxbZjyLhOLjvFl6c8TzS8NNbAMA0YySS8nQ/Nx2+75LD+X7dh70/PRMr2hMTZzHwMDWQTJRTchIxdCRK9OMeuVLalfYSXD4PYIWOIQYlqHQ1J0XqeMitF3Ir7rjK6rQrt5e6l1MrF/6rZfBIES4mrTIq5cLsuJbcsVbKZ4nOf+5zs4jNZg59PhKlkzDGlg/20M0VPTw9e8IIXiIJHUWvHjh3CfZgSwqnjpz71qeOL3LW2tsppKqBiR2LHBUgmUo+1DHNBklkxXGCMlxH5YG/evPmoI1kNjRjBwKDEyKR6AzFBCOGImxNCpdZRZeDINdPB+iyqDorMJUtqFEviQKXByQVwG5JIDhbgZxzYJRcYGEL5pBb4KYbyLo9milEIA9gDRbibUqLUMS5GWiU4GXNpmGAG3cj+ohWrpz7JnFJ3Sg2GXJcoNlHxM5DpZETK1I5YHOEmBn2YJVfyBc36Oqmf05gY5nmn48E3J4E80BXUYFXjgCh1JHJU74TcmaGEGPtRZyy/T5JX4CjWZfUIjUg2DDaS+IY0jnCFga8fMdOQzLFHNh05pqnwRa5q+RuoY92c+nvItzlIdsz9OH3BDRLThc65mzN8+tOfFncryR0/PxqmEyBMQ2dnZ+cRpHPdOrXCMBHe8pa3CG/Zu3cvTj311Mr5jEdh5+xxR+6mChK7Sy+9VBYWuWfX1dVV+V6syr34xS+W3Tky3Xe+852ylMgy4ImeOI1ljDFqLJU8o7YGzrCPUCyx8Tei0azL0ataZGDMiZ+yhJgwqJj/MDke5AiRYbpWKYBZ8iU7z7FMoMzFMQfJrjzchjSSuzqwvLyyauRldPXBTzQikWODRyAxJkFCHeC9RJR7xxgMIdKAlVdKg+wxptVeniimzBZ0o8e6GIoLeUr3QXb7GL2hauiQnn6S/HKD3dqCXc+uR5j3ZAfSsxSJY5VYfzklpgnb8uUjR7H5MmNP+CevOpj5OYlbOOjIdgsd5SR38XPN51mMFXTL8sKyx8q4GwtIqDihWJ7j30pZCKEBrz4Fuy8P68xT4N89tbgJDY3qUex4n88EVNle/vKXY9u2baPO50iV5JBO2MnAdgqOY9esWTPq/E2bNuHhhx+e0f06LsgdFTjOonka+8vHM2naofkAvf71rxd1r6WlRWbfcxGDorEMELKBooBCy8hLQsaC/POiwSJ+fYqDk0RPETq6OBMD6pvsQaWgTGes3V+AkUwAxTLC/gEY7a0Ikg6Sd+1B6C03ajcSrp3IhSg2GUj2q4N2TIhjs0p1gwUf8/hxLidG9vJE8YmctLEBYzKQBLCuzCq4MLr74TNAun76tUXLDf2PPUkCuimjMcLGRwLFOluIHWNOGFosTRPR3iPdsDRQeFTufFMqxOR5LpO18bWh4oOEvPM9FMO8SeZIACtJu9EPF9WOxC967qMxPb/v1tiw+wA/O8lKzRKCHssuTrzsZS+Dbdtinli5cuWMjB7Dw8Pj1qj19vZOvjZ2PJM7PniT7eYRzIehJVlDYyYwWpsrYz9BGAUZSwWSMkrQNMG8NSOwhHTYeZbalyWgON1VRmBTemIgq6X8AQcPwdi0Hvl19UjvHwIa6uDvmt07xeMRfi4He3W7PKYtdxQwvEapZrKKVVU/Fu85xo5lxl/wc0ao8Otkf4gilZtsRPTsqR2wqO4kuDTdWC8hxlZDA/zU4gomX4zIt1FdDWWcKiTPBPq7apBNlKVpwrMtUeuYc1d2bYlF4VjWLdgICzaCFLNqFFEnsePzxfEqI4ZoXKoYZ8oG/HQo+ZGCOBicBC+qpeOOKzucZUxbYyGZSsDwltHenc65mzO89a1vnfJlJ8uYY54uixNOOeWUGd8f7uzRXfuhD31IviZB5HiX2XdcR1uy5E5DY0EQRhlaJBzRSqfs2kVko5K9RrLAMWyZQcYurFwJVoZOUAtOzoPdPcxgL3WTQYhw+26kjQ0IMgngflVUvRwRJh21H2dGzR5UY8yRTMFqkqd2HCF9tKVGQ4g19yEznS4KzUl1+djJPEGp/Ci0NAJDw/LzDcuB4S8jYjBDyB6kqKgchXowCxbChKoQo+mh6NlC6qRezFN9sRzHyg6d5EOaqlrMNYS4kcTxuU8MsH955OcIyeN1GIEzhugT/CjEjkJg9HfiZ2zYubJ+DjWmjdtvv33U17fddhs8z5MdfYL9sGyb4BRwKjl3cZXZTEES97jHPQ633HKL7O694x3vkDYuKnd/+9vfZnSbmtxpaETw9+wFjJXqiygwlIpdXCvmSOwJw3TZZRpIMwL3vTjms9MOLNsSomd4PsCdu2IJZjaD0HXh37P9WP96xxxuYxp9mxlvkZBIE4lAicaschD3quJPuFOXAFxbGS3S3SHS3R4KrY5yvFLFcWN1dWqHd7e1BkZTFvbDndIvvKxUnxlCvQaoqgVqdFrnwU65yBcSMNkuEV3O9SyJOpERrchsURB1wUKqO+plNtRIls+vTHIjRTzeeBDixk8olUfkkBmS/PlqHUIZbRgOzn1Nu6DeLPiPOx/WH2/FUocey84d/q8qV47KXG1trdSQxeZLFh/80z/9kyhq46G67IBFCSRjH/3oR3HmmWce0S5RV1c36f1hDy0J5Re+8AW5L7lcDs997nNlzYyj3plAkzsNjQjuY8+ttEzEjRPc7RIFqaT2v5i5Vq63ZczkFH2YBRfIZmDtPoSwvQXwAmA4j4B7dnyRr1mB4N4Hj/WvtijArDoeoMu1pkRbCA+I8+2q4k+EUJPgFZW6w/08mliSBwfh1jRWLkNyR2WPNWRThdVfQNDXj7BchjVcqvhmNMYH1xBKZSBg7E+0N+d6CakNM5N+ZJiI8oB9LtGxu1eduGfHN0WMDuLzFY/WSfBI2OVvgEcgEo44Yk4U2ZGGEu7cxW+wZFTP+2IZsFxV8edlbJh8zS0HaLfsvOBTn/qU7OtXp2rw8w9/+MPSV8/ItrFoaGgYtVvH3X8qbzM1VNAlu3btWkn8GO97U3HcjoUmdxoaEdgqIcvb0aJ+9agw3gGzqNSR9JV4tOGo0QJyoTQdUMHj0Y7Ezly5AigU4WliV4E9TPeEIwd15pWJUhP9B4qVnHgcy8c6zjQjoU728KjOfS0foWWpAz4vy7G3ZUwpx9gs+kpVTSYRFEvwtu+c1993KYCPvREayvTC10HJBFIeUFTGCYNjVMmVCYGI/PEyVPmYZcgxbGyUIanjriTHspV2ErnRMZJSnHHH2/AUwYuJvyh3XigKOkPBfarnuWVC7jTmBYODg6MSOGLwvKGhoQVplGBLxqFDh46oUmP+Hb83FYI4FprcaWhESHYXMdyWlYNKtQuTRMOMDircs+NYiITCHnYRJG1YLIemvEGEIcy2VtA268Xl9BoCp68Aq5yGTUWuboTAKZI28njzQO7kQxnd8rJU5/y0DfekBiS7S0j2O/DY31sKhWSbZcbXTA7D9xHaljiXLcbXDAzM96983IPqqHqzw8eao1ADnkjbVPOUpTlk5IkodfEynIoFEjNEpLLyeS41RRV9HMdHO63yserJi4lcnC0p50WvP+mZHQoqvcxU8KStoq8InH8GgltHd3IuNeix7PzgOc95joxgqeA94hGPkPNuvPFGvP3tb5fR6Hh49KMffYTqNtYlS+Vu3MarcRCrfGPB8Syz+I67+jENjcUCq6ZGjVgjMhcHFMcjIY6BBHH3Kfd/hsrKPEE1KJuR/DTGqYTdPfB2LF/jxNFgdPSg5U4X6S5flJvKAd4aOeBL9pk0frBPNpRxLCvLWD2WfbAX1v0PIzEYCOFL9QdI3bQT4U13T+nnmwe7lXJXLMNobJjfX3YJwHvCBaLYVYwvAcepfIOjXh+JHgvGkA2T2XWyF2fI56wQozM2HqPK6yi6TmyeIT8cxchJ5iJ3upxi1S/axePfC001jE5J9flwCnG9SQi/LomQ8UQbR3eLLzkcg/qxa6+9Fs94xjOwatUqIR8///nPR9+lMJTIMe6FpdNpPP7xj5fct2rQFMDAYO6ecZzJLFqSlmrcddddst9GIkOiRIPBQuErX/kKnvKUp0hWLrN0eeLnrDn90pe+NOn1qayNp/zx9x7bdz+ea5cnPrbve9/7Kl/z9KY3vUlCjM8555wZ/V6a3Glo8ACSzaC0Ilshb7LjE2WtxQclkwQvNvM5BkorMgjTDpBIALlhgCNC14NRV2UD1KggLJWRfngAyb7RO3LxGLwC2cUzhLzF41fGzMi3HBt2IRDyxzxBv5+BeVOD19EJ9Paz7R7enpkFgy4niHOc5nH+/ZO88Q2NkDZFxBhdYrILNmqd4OfVOYVxP7MQu+hrIfKJo2QUhtXXj/fulAoY3ybJPwknFVsqeDyP6xRmefllRy4EmL929tln44tf/OK43ycJY30XCRLVLnarPulJT0KxWKxchsSOzk/m1TILjoSxOn+WY1HutpFUMVLkk5/8JK666qojKkbnC5lMRkgcR6B00fJEYsbz+PvMp+oW/zzext133135mqcHHnhAHvvvfOc7M/q99FhWQ4Mjnr5+JDuaMbguWqqNnHwSXkySx8J5IXtULnxREOyCL72xksbKF3dCuaT0OHZ8BLkcrHwdjKBGPZZqBa+yk1VZmhcyzXBoF/YgGQL3qorAYA5hoYjUoRy8TB2c39487fvg9fTMy++2FCF7kBIkzedJ7dNJo4io2iN1cUK6ot5eQohcYeT5TPWGKPLGImXWKUa9zNHLptICIzuXRuV68W5ePJKV2+b7qzhmKI4rcsnwlv7e3bEYy1LR4mk8kJB85jOfwXvf+14861nPkvOY1bZixQpR+C677DLcf//9+M1vfoObb74ZF1xwgVzm85//PJ761KdK2xQVwWuuuUbiP771rW8hkUjg9NNPl+w4ulgXsoQgm81KVu50s/Ji1a06hJg7ciS7k6lu8e4ex8Js1JqKs3aq0MqdhgaPLVTcDnQKeauYKCpkY2Qkq9QMQy5nDZclToPGCbCNYhkcYGYDZv6hWII17KoRbKzexJ9jxCkriPLrzH5aNrm45SNkdVjZq1xeY/5g5xnWTXUuIlhisKjKoKvak6yoa7Ehhm5m8nLyLr4RKlJ9JWEf2bOrNMDEpKPqdiuvPbeK1MX7eSSZdtT3zNdh0ROTDRXZJQ2+HubiFKll1adSiU/s9MDarsOHD8soNgaboi666CJcf/318jU/chQbEzuCl2c3PMlPfJlHPepRQuxiUP3bvn27RJIsVtw+h6rbt7/97TkldoRW7jQ0iDCAf9Jq9Xk0jlUKRQirrCJQeCAJEmoMJbVJKQdGyZVRYdij/gkZ2TRQGhlJaFQhDBD0D8JKJeHkamXBXpbtI/VHFLsASA4G0j0bWqY0fYTZFIzeQdmvYiesX5+OJB+N+YR57e1wnvkIWGUaKfgGaMQEI2Qu2pesJmMxuROyFkXe8TI0yHB3UhpFovdAfO7V9Q0wMU9Gu/Ft8PXHv4mIIMYnXt9PcSxsKue6H8obLJPk313io9k5bKjgXls1rrzyShmFTgckdgSVumrw6/h7/DjWAcqqrqamplGXGbubFt8mv1cdUbKY8H/zqLrNBTS501j2EMLwyLPhMwol2jFS5C6UzxlYLAekSLnzMxYSPSWUWpIw6hxk9oQw0ikEw3mYDPyS0C+t4o2HoFyG0T8o473sgRC5tdEYTmJO1OPu5BkQHXWPJixR6gyOvKmQWhasrkGYK2bmINOYHugOp7GFZNqtiVcUFOmKR6kEXzdU5/i8VRM8vhR4fTViVU4kIWlRliTHtzLeDUeIXUUBjNphZDWiaufOT6h9PFF5Eyb8bALmUBFw9OFsqqCLs5qMzLS/VAOiui1G6LGsxrKGvbJdPubbEwiSZuVgEo8GZSwlX6ujmOwJeVTwTDiDLqxSoNQl5hCFIQIaKzSODpJe35c9ruxhMoARMsAxnlUMYdC4wvDPRPTviTyZZhWOZQtFUfKEKGjMO/j3zQBv1QQSKWjRLqpkzkVj9NhhHo9a5TUTq3lh1DhiG5XQ6gpxi0mgPMejVbp47CsiYPzmyjKUGsgK5+rorxmMFY83xHGAszpFt0ViV32aCblrb1f/Ozs6Okadz6/j7/FjZ2fnqO+z5ouGherLjHcb1T9DY/rQ5E5jecMwkH/GBUh1e+LAq8Q30DghocUkHD4sNxDSQYcmv5Z8rWEXTm8BxkAO8BVpCTiS1ardhCBJy3T6GDzBgZVXBIGqD8ffHN9JOC2zzNgBy8edppVCgUcFmO2tMPqG4Awt8f2qRQLr/25FYtBHcoAKXvR6iGJNZDQbuWDjWjF+j5er3ruLyZi8UYp36KLml+pxbvymqhJBFKt38Z0Zw+flb4T3Me+qOKKlrj7FDRWzPc0ROEol+frjH/9YOY/7e9yl27Jli3zNj/39/eKCjfGnP/0JQRDIbl58GTpo3aqdSTpr2fO6WEeyxwM0udNY3sik4ScN2DlXRSpE41ilSqgeWSp1PKnzORvikrmS9szhopgEwkJBDANmlWNKY3wYySS8jKmy7aIxnvoGSV4gmXbKlax2qYwwlPxAY81KIF/g0g7sntE5WRrzByrUXE0Q0hUrrLFiF5OySKmLna3y/EX7qnyevSRVO0PG8dWrD9X9zaLcxSPdqF+4MqqNIFEoogCqOBb52rGE+EsckcacgnEedK7yFJso+DmDe+kSffOb3yw1Xb/4xS/EVPCSl7xEHLDPfvaz5fKnnnqq5MVdccUVuOmmm/C3v/0Nb3jDG8RJy8sRzJSjmYL5d4xM+dGPfiQ7bLEbVWNm0EsKGss6uBh9bClog+n68FJmNIalE08pd2o0pN7tyvI2vx+NaEVRihb7SeyoSBkYXRqtcSSCoSGl5shyvOqQNfMj+1Zulu7KUDliTVMInZ8bhuVYMGprgIEhoKQf54UC3+DIGxs3RBCqsaiQsmhiHpsfKspaPHatjFI5ElTzVUaoVEh9tEMXj3JHjWSjeBS5uXhsG6PKS6MUwABh2YXRsLTfWB2LKJRbbrkFj3nMYypfx4TrpS99qThB3/GOd0gWHiNLqNBdcsklEn1Sne/GqBMSOnav0iX7vOc9T7Lxqh227HZ9/etfj/PPPx8tLS0SjLyQMShLEZrcaSxbGJm07HCxysqtS8qSN5e/TVGTVM2YEDpxqamjjRzoyr7KXSu5CNNJMWTwRHIXcOlfY0Lwcap7KI/AziDVA3gZFWvBx9+tMSujOyo/Rp4zwKid/kCHPL7mijYdQryQYPvDsA+rVj034nglVyOBY7dr9EZIzo8rw8QUoXYn48w6Ejp5ToOq/bso5FgQkTiqdRzTx38TMemPb3dUxh1fn66PsFSaUr/wcY05dMtOFZdeeqlEfRwNVO8++MEPyulooDP2+9///oQ/h/ly11133fTunMaE0GNZjeULP4DR1iIHmmKzIweOVE9Zlsjj0OJYMVBRHdF2N//ZkXBYrF3yZNeHblkhIHrfbkqw+gtI5ELlRI7CjKkIlbOMuFCkmmqqKD58jA0TYW5YPc4cwWksGLiCYHpBJd6EiKNrqObFCndl1DpKhYvU7mqCFhPA2HQRmzHGumV53fgyVc5copJzGEYKOg1NwfTL1TU0liq0cqexbOFvXAVr10E4hXbJzpI+04Ei/KSl9ryoOsRLyHGgLmM5OAZK2IDs+jAmJYBRk4XlefDHdCZqjA+jUEK6s4RCa0IIAk0UJHsuG+ACINFfhln0VRvBUPSYUh0tluD3Lt5g06UIY9d+WCeugl1IwM0AdrwjFyloceYdlTu5fEzYYjLG15LFUGTu3xkyjo/jUKJrqPzvEHByKg8vVsyl8m+8+xQRR2fYk78lCTEuLm3HLP8Xyf+jWd6GxvKAJncayxphezMSQ2rfjvlqJBNWyZeDS1xzpA4kI0XlcROFMcRFMZMFjIDjCPnQmCLyedi9SZhNCTmAJ6JxHQ/uyX5PluSlAaTsS3evVQMZyTIwWmNhwf5eq9ymculKzKwzxFgkpobK2oKS02hOUmYkpfQJCYzCv8VhnvdV5FDShAdjZHxLk7kBJAfYGWupCjOOgK1oL69KzSNBtOJwcTply2WEPNFss5QRmU5mfRsaywJ6LKuxbCEBubkCnCFPDk52zlMHKx5sOBKiKhd9rpx8ar9HKsdioscRYRDqPtnpgmQ42pmKXZg88EvrABUKP0CQTiBM2gjy+ShHMIBRVVGksXCQmq9oXUFWFiSjTjliVZxJ1L0sESZqDMsAZDqe5XoctUerDhInxPNlpFsVOVQGynVmJQMvvh0xXhgq3HpUG4YXwqtJVBzYdFFraGgo6FeDxrIFFYKhc1ehZtcACi0JJO55GOGqVlGLqNSFdGrGi9tC5BSp47iWakQFlgmrqVGPC6cD14XbUiPkwAkDIdZ2fxFeQwpOXwHGYB6wLXEzs9XCpLPZ80Sh0Vh4cA0hdonHY1VmEJK4BY6JwDEqjlo5X2JsfJVTyOigDJcqR14zVpFGDEdUOL6zYvwNHdJU83g70opBks8oFSqEsrtHo0UInyJ5OUDqUA5BKjqE8U1Wamnn3OmxrMZ0oMmdxrKFV2PJwaWwrk4OFozoMNAqe3WCeGkoynyQf66xasfQVKpPzNbiTpF2yU4LXmcXwjPXwRmM3bBU63wheEbPAMLGWvVYm4YidhyFWxYChhlrLDxEsQ7lpRBGLljV7RrIeQYjUhg6LWqer1zlBVfMDkHSUbmQorjR+KBeU7w8iSFNGgwQV+RRHZKYd0gI+YuOUjG55N+KXVDh1tZwEeFwXq1E6G7Zqd2GxrKAJncayxccxbI+zIwWtznWiZ2w8bvkiFQIeGAiqaOiJNfnbMqU8zTpmD7sgTKG12VQs3tIvjZKHsI6Zl+QJKiwaO7byZ5VoaAf42MIKtlWwUOQsqJdO6XMqW6wEOawD6/GEVet7Nu5JHFsbQkQ3Hlf5XbMM09Rn/gh7FwZftpGkLRg8zoyoldB4myB8R0ToRN1D/Nl6fITAybVPe788e/EdWHEil2UOblkMRcNE1q5WzbQ5E5j2YKEzk+Zogik9wyoN7Uybq02T8iZQuJk/47nsWos3rdjtl0+f2x/keMUJABsqpDSd8NAaU2DkINgbQvsPR1AwkHQ2yd7dswR1DiGKJZg5RkX5IjaJgod20PoHOcbHMuAMxTtpNJRPjgMb+/+I27Gv/sB+WhvPkkRNRJFT7mlmR+Z7FOhxD7HrcZIlEosotPsBFadycjXAxiN4wcI3Zx+HWpoVEGTO41lCyESvlIB5EDh8OAVjry5jcZH6nOlQlQ+j4wU8qVWlKYNq7ZWHsN0pwt3Zb1Uv8nYTkwsAYL2JhhFD4ZtI6Q6ExkwNI4R+LdP4uZYagzrReoc1bbAUwRPduQ82Vkdj9iNhRBBm60wPkI6ZHl9qnOmqhdTNWYjmXYMS45zJkksRUUfHFKvWxptlji5OxYNFRrHLzS501i2sAq+jHaoGEggcfPokmohepQP4igUntzooEL4vtQeaUwfdL/ycU/fuRdhUwOCuhSsbjWe5cHbXdUAJ1cCmpuA/gGJ49A4hmCWI//ui2WVYyyGCr7BCQBWfyUc+b63Y9eUbs7bvhP2hvUwEjaMkgs/mYZR9KXxwksn5LUn+Yc+41WUak5jBRVCO+/JPh9fiyHfZDFfcjn8feixrMY0oMmdxrKCmUwhKHEMaMIaLMBP1kgkSpBJwPDskQy7aARrlJWSwKox5mlV9u7k/2QgtUca0wdHaObAoNqv6x+E1T+ozu/plZ5eu7MbqK2RVgp/KCJ9GscGzHIkiSqXYZSiaCC+Dqre4JDccT9yWiiWYMhqQwAzYSO0aa5Q+3wI1N6rONHJJEW1Yq6d6nOWEPHBIfWzOZrV0NAYBU3uNJYVGKshYE1Y1EDBnR85YHBERMNdHFgcjV1Vzp1fIXaiFkgcijZSzAYMnY37fblTR7cyiV2lwq3samK3SCAkinuPsYLN14sQPgbbkYjZ6s3PNMBsSHtFG5BMqAoxw1GNLwkmF7MhJoruiHL0VPessowa+ZIaBZN7LpN9zOo6xNnchsbygCZ3GssKZiqpCBm7SmVPiGGraucnHlkYUnlUNb6gcke1jtl3JB78yIMaz9eYMVjVZnK0Z5kISiUVVFz1Pegqt8UBKtTcZ2POYKxsW9Zo4j1DEk6C73d0wl7ZLhV+oZGMXLGqxlbUPHbTMgCZXdB0UYuD3VRvtkwDXk8PlgX0WFZjGtANFRrLBvIOP4pLkM9laZtOPVMFE1efxvlH6HV1KxUvOl+rdnOjpIZjiJ3G4gMVVQmQjnbcRLWbi9uNb4cfXTbERA0w0fsrMW4E8ShYRRPJ9yvmJk1WNDTGg1buNJYPDLPiurQa64HOfqCmTeV28RhTfZyIiV0lDgWwm5uXj0qwkKqQ5nWLHqHnIuTrh07WOSTi8RskGfsaeRiWCdMwEMBR0kNlBy82NUWvyaGc3I9l9aZAhxhrTAOa3GksK4TFkloQ5wGkswvY0Hb0sUc1wYsMFBoayxbzRMSpooeFgrw2TcuCYZqqCSMyWAiku5YRRGymcBHQTOF6smbh55aHY13Xj2lMB3osq7EswAOI4diiQMjyfm4YZn2dZNzJ92X0M5JfPIrsxaHFGhoacw4x0fClRxd75MqV8SvHsCR1MppVu3bysVgSYifKXWx+0tDQGAVN7jSWDUQhiNyYYoiorVE9stwnip2zMaGr7PnQSBFVKXGxO50+1r+GhsbSQhhUXOyy18oRbYlhyGNORRcYGlb5dtzN44h4OUURxf+bZnvSWBbQY1mN5QMZ+agxj9XUoHph4+R3kjeaK6Q3s+qfoOz7RCcSveW046OhcSzAN15WSbqeDYksGsnZC0tlBMN5mImE2gNcTq/HqmbEWd2GxrKAJncaywM8QFSNgMK2JlWfJF9E//EkryvOtiOhY/eRUu/kIBKGIzl5Ghoa8wI6aA02wYhqzhBxRe74GiSxO+J1vUx2YfXOncZ0oMmdxrJA/A6fyp21dg1C1hllk5J1J8XlrB/jAYWXKXmy1yNkj5l2pbJS9ZaTSqChcSxNTzGp49dRtzDPF+XdtqvMTsuD2GloTBd6505j+UAWsEPVD0snXhxaLLsoUEHGMUjoCDnIqDYKnamloTH/oLFCzBJ8ndJEQZIXvw4ljmWZHrYkCmW2O3fH+pfQWCgcd6+SUqmEc845B4Zh4I477hj1vbvuuguPfOQjkUqlsHbtWnziE584ZvdTY3FBlq+DAKZjA7YFY3AYZr6sDBXcsSMoAvDAYVtANq32fCK3rIyE6ObT0NBYkO5hmp44omV4shigaHwS0udJPt6yU9K1oUJjKZO7d7zjHVi1atUR5w8ODuKJT3wiTjjhBNx666345Cc/iauuugpf+9rXjsn91FhkkN0cOidMNXJlRyyVOrruojgFydXyAtVWwbBj05SRLMdBuo1CQ2NhQcMEX3fcc+UbK3lzRWetfpOlobG0du5+/etf43e/+x1+9rOfyefVuOaaa1Aul/Gtb30LiUQCp59+uih7//7v/45XvepVx+w+aywSxLs5UTcsVTnmZwmhq4xmq8e0qurIHxg4lvdaQ0OjCstOrasG/4XNts5aryguGxw3yl1HRweuuOIKfO9730Mmkzni+9dffz0e9ahHCbGL8aQnPQnbt29HX1/fhGNeqn7VJ42liTj4VHbnmFfXN6DytEp05oUwSuy15Jg2kJ07r6PzWN9lDQ2NyOm+3BG7ZWd70lgeOC5eNWEY4mUvexle85rX4IILLhj3MocPH8aKFStGnRd/ze8dDVdffTXq6+srJ+7qaSzR4nMSuzgSpbtHLWwXiqLgmYUSzJIKT+V5MrrV0NBYnNCET0NjQhzTV8i73vUuMUZMdHrggQfw+c9/HkNDQ3j3u9895/eBtzkwMFA57du3b85/hsbiMFRIQ0WUWSdEjwqdOPKi6rGqwOJlPf7R0FhMiIOMx5633KANFRrHy87dv/zLv4giNxE2bNiAP/3pTzJ2TSaTo75HFe/yyy/Hd7/7XbS3t8vothrx1/ze0cDbHHu7GksPqnZM9cpKZRFNEzx5PpAvwLDokrVVBIrnwe/vP9Z3WUNDYzwyt4yCi0dhLsiZJnfLBseU3LW2tsppMnzuc5/Dhz/84crXBw8elH26H/3oR7jooovkvC1btuA973kPXNeFQ6cjgN///vfYvHkzGhsb5/G30DhuwIMCT1TloiBU6ajkCDaVhLd3D+xVK4/1vdTQ0JgIy5HYaWhME8fF4sK6detwxhlnVE4nn3yynL9x40asWbNGPn/xi18sZopXvOIVuPfee4X4ffazn8Vb3/rWY3zvNRYTKn2UzM9iVhYztGiiiNopvIOH4HV2Heu7qaGhoXFMx7KMEhu7JnXKKadUvl8sFvH6178ezc3NqKmpwfOe97wjpmd79+7F0572NDFBtrW14e1vfzs8/r/VmHccV1EoE4FmCMak8I/t/PPPR0tLC97//vfrGBSNUe/2OZaNd+8k7d4PYGQd+adnt7ZIpp0/NHSs762GhobGMY9CYaTYH/7wh8rXNiceEd7ylrfgV7/6FX7yk5/I8fcNb3gDnvvc5+Jvf/ubfN/3fSF2XIvatm0bDh06hJe85CUyWfvoRz86y19EY0mSu/Xr14uDdizOOussXHfddcfkPmkcR7t3iIhdQpE6RqQYjj0SlaKhoaGxyDAXUSbTvT7J3Hg76zQffvOb38T3v/99PPaxj5Xzvv3tb+PUU0/FDTfcgIsvvljElvvuu0/IIZMr2Cz1oQ99CO985ztFFayOLdNYpmNZDY25RrWxgiRPSB3/8emRgYaGhoZgx44d0ghFYyPNixyzEmyB4n774x//+MplObLlChXNjwQ/nnnmmaMiyrgrzyxZrk5pzC+OS+VOQ2PGCAOEAWvGXJgMMjYMhMy1i8rJWXWkoaGhsZTdsmPD+sdLjaBZ8Tvf+Y6YEjlS/cAHPiDd7ffcc49kx1J5a2hoGHUdErk4V3am2bMacwNN7jSWF+IQY4YaR52yBjtk2V+p+2M1NDQWK7hSYsyS3MlaCo4I67/yyitlVFqNpzzlKaNWnkj22N3+4x//GGm+MdZY1NDkTmP5BqJyBGuYCP1AXLQaGhoaywEM66+rq6t8PZWsV6p0TKrYuXMnnvCEJ0iXe39//yj1jm7ZeEePH2+66aZpZ89qzA30zp3GsgPbKkbMFaqMPP5cQ0NDY6lHoZDYVZ+mQu5yuRx27dqFlStXSiIFXa9//OMfK99njzt38pg5S/Dj3Xffjc7OkY5uZs/y55122mnz8hBpjEArdxrLDjGRI8lTRgodiqqhobHYMRf1YVO//tve9jY84xnPkFEsiwM4urUsCy960Ysk+oSZssyRbWpqEsL2xje+UQgdnbLEE5/4RCFx//iP/4hPfOITsmf33ve+V+LKdCvU/EOTO41lrd6JwULHn2hoaGiMwv79+4XI9fT0SJPUJZdcIjEncavUpz/9aZimKeHFpVJJnLBf+tKXKtcnEfzlL3+J1772tUL6stksXvrSl+KDH/zgMfytlg+McLzAuGUMuoj4ruRSPAu2oWrMNJYYop27SpixVu40NDRmAC908Wf8t+S+Ve+wzccx6fEnvhG2OTvFywtK+MPuz8/r/dVYHNDKncbyNVWEgSJ4niZ3GhoaixyyTjI3blmNpQ9tqNBYfmA7RWyq0CNZDQ0NDY0lBq3caSw/yJ6dGstqaGhoHDcTh9mukOgVlGUDTe40lrdrVv+z09DQWGYNFRpLH5rcaWhoaGhoLHbonTuNaUDv3GksX2jVTkNDQ0NjCUIrdxoaGhoaGosdeiyrMQ1ocqehoaGhobHYIVPZ2ZK7ubozGosdeiyroaGhoaGhobGEoJU7DQ0NDQ2NxQ49ltWYBjS509DQ0NDQWOwIaAAL5uA2NJYD9FhWQ0NDQ0NDQ2MJQSt3GhoaGhoaix16LKsxDWhyp6GhoaGhsdihyZ3GNKDHshoaGhoaGhoaSwhaudPQ0NDQ0Fjs0PVjGtOAJncaGhoaGhqLHGEYyGm2t6GxPKDJnYaGhoaGxmIH9+Vmq7zpnbtlA71zp6GhoaGhoaGxhKCVOw0NDQ0NjcUOUd20cqcxNWhyp6GhoaGhsdjBdgljljtzeudu2UCPZTU0NDQ0NDQ0lhC0cqehoaGhobHYoceyGtOAJncaGhoaGhqLHGEQIJzlWFZHoSwf6LGshoaGhoaGhsYSglbuNDQ0NDQ0Fjv0WFZjGtDkTkNDQ0NDY7GDAcaGJncaU4Mey2poaGhoaGhoLCFo5U5DQ0NDQ2OxQ1S32ebcaeVuuUCTOw0NDQ0NjUWOMAgRznIsG2pyt2xwXI1lf/WrX+Giiy5COp1GY2Mjnv3sZ4/6/t69e/G0pz0NmUwGbW1tePvb3w7P847Z/dXQ0NDQ0JgTMMZkLk7TxBe/+EWsX78eqVRKjr833XTTvPx6GstUufvZz36GK664Ah/96Efx2Mc+VkjbPffcU/m+7/tC7Nrb27Ft2zYcOnQIL3nJS+A4jlxHQ0NDQ0NDY+r40Y9+hLe+9a34yle+IsTuM5/5DJ70pCdh+/btIqBoLF4Y4XGg05LI8Z3DBz7wAbziFa8Y9zK//vWv8fSnPx0HDx7EihUr5Dz+Qb7zne9EV1cXEonElH7W4OAg6uvrcSmeBdtw5vT30NDQ0NBYOvBCF3/Gf2NgYAB1dXXz8jMqxyTjObM+Jsn9Df/flO8vCd2FF16IL3zhC/J1EARYu3Yt3vjGN+Jd73rXrO6LxvziuBjL3nbbbThw4ABM08S5556LlStX4ilPecoo5e7666/HmWeeWSF2BN9h8IVx7733HqN7rqGhoaGhcfyNZcvlMm699VY8/vGPr5zHYzC/5vFWY3HjuBjLPvTQQ/Lxqquuwr//+7+LivepT30Kl156KR588EE0NTXh8OHDo4gdEX/N7x0NpVJJTjH4jobw4M46L1JDQ0NDY+lCjhMLZFSYi2NSfH8pelQjmUzKqRrd3d2y7jTecfWBBx6Y3R3RWNrkjrLuxz/+8Qkvc//994sUTLznPe/B8573PPn829/+NtasWYOf/OQnePWrXz3j+3D11VfLuHcs/or/nfFtamhoaGgsHwwNDcnodD7AlSLukv/18Nwck2pqamS0Wo0rr7xSxBONpYNjSu7+f3t3AlRV2cYB/EXcQFNcGEFLAzUUK0AMB6PVFGgZRydTKySnNHNLw40KS50El6jJMKwZpW20ZdKsEE1JHZRIMXKJHDCwTaVQKlMJ5P3m/8ycM/fegLCP5Zzr/zdz5Z57zr33fTx3ee67JiQkqEceeaTeYwIDA2VwBAQHB5u341cG9mGELODF7zqK5/Tp0+a+uiQmJkqHUQMSyTNnzqhu3bopDw8P1RLwqwpvvh9//LHJ+nG0FMZmT4zNnhhb00KNHRK7nj17NtlzYJRqSUmJNJM2Vpldv9tca+2ge/fuytPT0/weNWC7vu9UsoYWTe58fX3l8m/Cw8PlxYcROlFRUXJbVVWVKi0tVX369JHtyMhI9cILL6iysjJzFM/nn38ub3rHpNBVbdXRPj4+ygpQdnf7QDYwNntibPbE2JpOU9XYuSZ4uDQn1Bjiu3fnzp3mtGOo/MD2jBkzmrUs5KZ97vDGnTp1qlQd45caErqVK1fKvrFjx8rfkSNHShIXFxenVqxYIf3snn32WTV9+vRaf5UQERFR3dCqFR8fr4YMGaIiIiJkKpS//vpLTZo0qaWLRu6Q3AGSudatW0vyduHCBRminZ2dLZMZA6qPP/30U/XEE09ILV6HDh3kRblkyZKWLjoREZHtjBs3TqYSW7RokVSYhIaGqqysrH8MsiDrsU1yh8mIV61aJZe6oEYvM9P+AyFQ04haSnescWRs9sTY7Imx0f8LTbBshrUfW0xiTERERERuNIkxERERETUMkzsiIiIiN8LkjoiIiMiNMLkjIiIiciNM7loQJl0eNmyY8vb2rnPiZMwk7nrZuHGj0zG7du1SgwcPllFj/fr1UxkZGcoOsWF1kXvuuUeOwcTT8+bNU9XV1ZaPrTZY79j1PKWkpDgdc+jQIXXLLbfIZKSYrxHzMdpBWlqaxIdyYwoi15Vg7ABLK7menwEDBpj7L168KHNiYmUaLM+EZQ5dZ+a3kj179qj77rtPVkZALJs3b3baj3FymL7C399feXl5yWLvRUVFTsdgJZ6HHnpI5hHFe/TRRx9V586dU1aPDasauZ7LmJgYW8RG1FyY3LUgLCeDSZgxN199sI4ulmAzLsZs4YBlaZAg3XHHHaqgoEDNnj1bPfbYY2rbtm3KyrFhQWqUG8ft27dPvfnmm5K44QvJ6rHVBXMqOp6nmTNnOi2VhIm2MV1Pfn6+zNuIhOP1119XVvbee+/JRKaYcuLgwYMqJCRERUdHy0owdjNo0CCn85OTk2PumzNnjvrkk09krerdu3erX375RY0ZM0ZZFSaSxblA4l0b/HB45ZVXVHp6usrLy5N5P3HekMQakPwcPXpUVvLBHKFIqqZMmaKsHhsgmXM8lxs2bHDab9XYiJoNpkKhlrV+/XrduXPnWvfhFG3atKnO+86fP18PGjTI6bZx48bp6OhobeXYMjMzdatWrfSpU6fM21577TXdqVMnXVlZaYvYHPXp00e/9NJLde5fs2aN7tKlixkbLFiwQAcFBWkri4iI0NOnTze3L126pHv27KmTk5O1nTz33HM6JCSk1n0VFRW6TZs2+oMPPjBvKywslPdebm6utjrXz4iamhrt5+enV65c6RRju3bt9IYNG2T722+/lfvt37/fPGbr1q3aw8ND//zzz9oqavv8i4+P16NGjarzPnaJjagpsebOBtBchEWcsfzLunXrpMnFkJubK00ujvALHbdbGcp3ww03OM10jnKjhgu/uO0YG5ph0awXFhYmNXOOTcwo86233irrNTrGgvWSz549q6wItaqoZXQ8B61atZJtq56D+qBZEk19gYGBUrODbgGAGLFWtWOcaLLt3bu3LeNEjTdWE3CMB+ufokndiAd/0VyJZaUMOB7nFzV9VofuGujKERQUJK0D5eXl5j67x0Z0Ra1QcaVCU9+dd94p/dK2b9+upk2bJn1HZs2aJfvxIe66FAy2kSRhmTb0t7Giuspt7LNbbDgf6BvYtWtXaWZOTEyU5qLU1FQzloCAgDrjNZbRs5LffvtNms9rOwffffedshMkNmj2RzKA87J48WLp/3jkyBH5/0fS7do3FHEar0U7Mcpc23lzfG8hOXKE5R3x+rV6zGiSRZM53k/Hjx9XTz/9tIqNjZWkDstQ2jk2osbC5K6RLVy4UC1fvrzeYwoLC506c9cnKSnJvI4aIfRHQa2QkdzZOTaru5x40S/NcOONN0qy8Pjjj6vk5GQuj2QB+PJ3PD9I9tD/8f3337fUjwT6d+PHjzevo/Yf57Nv375Smzd8+PAWLRuRVTC5a2QJCQkymqs+aBb6r/CltHTpUlVZWSlJg5+f3z9G9WEbo8Qa+0urMWNDuV1HXRpxYJ/xt7lia+x4cZ7QLFtaWiq1RXXF4hiv1aArAGpCaiu3VcvcUKilu+6661RxcbEaMWKENEFXVFQ41d7ZNU6jzCg/RssasI2F341jXAfF4PWKUaZ2ixnvQbxWcS6R3LlTbET/FZO7Rubr6yuXpoJRo2jCM2qDIiMjVWZmptMxGCGG260cG8qH6VLwIWw0oaDcSNyCg4ObPbbGjhfnCX18jNhQ5meeeUb6drVp08aMBYmfFZtkAbWP4eHhaufOneYI7ZqaGtm2+0Li6NqAJr24uDiJEecEcWEKFEBfSPTJa67XWmNCcyWSGMRjJHPoyoD+ZsbodcSFZBb9DRE/ZGdny/nFDxM7+emnn6TPnZHIulNsRP9Zkw7XoHqdOHFCf/3113rx4sW6Y8eOch2XP//8U/Zv2bJFv/HGG/rw4cO6qKhIRlx6e3vrRYsWmY/x/fffy23z5s2TEX5paWna09NTZ2VlWTq26upqff311+uRI0fqgoICKa+vr69OTEy0fGyu9u3bJyNlEcfx48f1O++8I7FMnDjRabRijx49dFxcnD5y5IjeuHGjxLZ27VptZSgnRllmZGTIKMQpU6ZoHx8fp1HOdpCQkKB37dqlS0pK9N69e/Vdd92lu3fvrsvKymT/1KlTde/evXV2drY+cOCAjoyMlItV4X1kvKfwMZ6amirX8b6DlJQUOU8ff/yxPnTokIwuDQgI0BcuXDAfIyYmRoeFhem8vDydk5Oj+/fvrydMmKCtHBv2zZ07V0Yx41zu2LFDDx48WMp+8eJFy8dG1FyY3LUgDOnHh5fr5YsvvjCH74eGhkpy1KFDB5nKIT09XaajcITjcVzbtm11YGCgTD9i9digtLRUx8bGai8vL/mixRdwVVWV5WNzlZ+fr4cOHSpTvrRv314PHDhQL1u2zOnLBr755hsdFRUlyVKvXr3kC9gOVq9eLYkPzgGmRvnyyy+13WAKHX9/f4kB//fYLi4uNvcj6Zk2bZpMV4Oke/To0frkyZPaqvC+qO39hfedMR1KUlKS/KDA62348OH62LFjTo9RXl4uCQ8+XzAF0aRJk8wfX1aN7fz58/KDED+eMH0NpiCaPHnyP35sWDU2oubigX/+e70fEREREVkJ57kjIiIiciNM7oiIiIjcCJM7IiIiIjfC5I6IiIjIjTC5IyIiInIjTO6IiIiI3AiTOyIiIiI3wuSOyCZuv/12NXv2bLd5TqzbayxrRkREjYdryxJRnT766CNzLVy49tprJdlr7iSTiIgajskdEdWpa9euLV0EIiK6TGyWJbKhs2fPqokTJ6ouXboob29vFRsbq4qKisz9GRkZysfHR23btk0NHDhQdezYUcXExKiTJ0+ax1RXV6tZs2bJcd26dVMLFixQ8fHxTk2ljs2yuH7ixAk1Z84c5eHhIRd4/vnnVWhoqFP5Xn75ZanlM1y6dEk99dRT5nPNnz8f61o73aempkYlJyergIAA5eXlpUJCQtSHH37YBP97RETujckdkQ2hv9qBAwfUli1bVG5uriRKd999t6qqqjKPOX/+vFq1apV6++231Z49e9QPP/yg5s6da+5fvny5evfdd9X69evV3r171R9//KE2b95cbxPt1VdfrZYsWSJJomOi+G9efPFFSTjXrVuncnJy1JkzZ9SmTZucjkFi99Zbb6n09HR19OhRSSIffvhhtXv37sv+/yEiupKxWZbIZlBDh6QOCdmwYcPkNiRp11xzjSRnY8eOlduQ6CFR6tu3r2zPmDFDEjPD6tWrVWJioho9erRsv/rqqyozM7PeJlpPT0911VVXKT8/v8sqM2ry8FxjxoyRbZQLtYqGyspKtWzZMrVjxw4VGRkptwUGBkoiuHbtWnXbbbdd1vMREV3JmNwR2UxhYaFq3bq1Gjp0qHkbmjqDgoJknwHNtUZiB/7+/qqsrEyu//777+r06dMqIiLC3I/ELTw8XJpHGxOeC7V8juVF+YcMGWI2zRYXF0tN44gRI5zu+/fff6uwsLBGLQ8RkbtjckfkphxHuQL6yLn2c2sMrVq1+sfjOjYPN8S5c+fk72effaZ69erltK9du3aNUEoioisH+9wR2QwGSGAwRF5ennlbeXm5OnbsmAoODm7QY3Tu3Fn16NFD7d+/32nQw8GDB+u9X9u2beU4R76+vurUqVNOCV5BQYHTc6HW0LG8KH9+fr65jXIjiUO/wH79+jld0NxMREQNx5o7Ipvp37+/GjVqlJo8ebL0R0MfuIULF0qNF25vqJkzZ8ogBiRQAwYMkD54GIVrjIKtDUbAYnDG+PHjJRnr3r27jKL99ddf1YoVK9T999+vsrKy1NatW1WnTp3M+z355JMqJSVFyo7nSk1NVRUVFeZ+xIDBHhhEgWbhqKgoac5Fv0I8DkbxEhFRw7DmjsiGMMIV/ePuvfdeGYCAWjMMhnBtiq0Ppj6ZMGGCTKmCx8B0KdHR0ap9+/Z13gcDMkpLS6UvH2rsjJrENWvWqLS0NJm+5KuvvnIalQsJCQkqLi5OkjQ8F5I5YyCHYenSpSopKUkSTjwmpm5BMy2mRiEioobz0E3RCYeIbAc1ZkiqHnjgAUm0iIjIntgsS3SFwoTE27dvl2lGMBUJpkIpKSlRDz74YEsXjYiI/g9sliW6QmGUKyYWvummm9TNN9+sDh8+LPPMofaOiIjsi82yRERERG6ENXdEREREboTJHREREZEbYXJHRERE5EaY3BERERG5ESZ3RERERG6EyR0RERGRG2FyR0RERORGmNwRERERuREmd0RERETKffwPKAzM9vRwW4MAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ds[\"degree_days\"].sel(gcm=\"ACCESS-CM2\", scenario=\"ssp126\").plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "523e186a-a455-4a91-a872-b6fa10f21083",
   "metadata": {},
   "source": [
    "### Compare degree days at one particular location across GCMs and SSPs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "f92f0980-1856-40a2-b538-b7d818958f72",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x10d3ef1d0>"
      ]
     },
     "execution_count": 5,
     "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[\"degree_days\"].sel(latitude=20, longitude=0, method=\"nearest\").plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bbc53c16-f657-4717-80bd-1d5c3761ca4c",
   "metadata": {},
   "source": [
    "### Load the whole time series by stacking multiple Zarr files"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "cc7cf539-cb68-4be2-a144-3b12391f3a29",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "}\n",
       "\n",
       "html[theme=\"dark\"],\n",
       "html[data-theme=\"dark\"],\n",
       "body[data-theme=\"dark\"],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1f1f1f;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 0 20px 0 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: inline-block;\n",
       "  opacity: 0;\n",
       "  height: 0;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:focus + label {\n",
       "  border: 2px solid var(--xr-font-color0);\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",
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       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
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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; Size: 187MB\n",
       "Dimensions:      (temperature: 1, gcm: 6, scenario: 3, time: 3, latitude: 600,\n",
       "                  longitude: 1440)\n",
       "Coordinates:\n",
       "  * gcm          (gcm) &lt;U13 312B &#x27;ACCESS-CM2&#x27; &#x27;CMCC-ESM2&#x27; ... &#x27;NorESM2-MM&#x27;\n",
       "  * latitude     (latitude) float64 5kB 89.88 89.62 89.38 ... -59.62 -59.88\n",
       "  * longitude    (longitude) float64 12kB -179.9 -179.6 -179.4 ... 179.6 179.9\n",
       "  * scenario     (scenario) &lt;U6 72B &#x27;ssp126&#x27; &#x27;ssp245&#x27; &#x27;ssp585&#x27;\n",
       "  * temperature  (temperature) float64 8B 28.0\n",
       "  * time         (time) datetime64[ns] 24B 2030-01-01 2040-01-01 2050-01-01\n",
       "Data variables:\n",
       "    degree_days  (temperature, gcm, scenario, time, latitude, longitude) float32 187MB dask.array&lt;chunksize=(1, 2, 1, 1, 150, 720), meta=np.ndarray&gt;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-1b215414-f64c-433e-af94-c9490060b733' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-1b215414-f64c-433e-af94-c9490060b733' 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'>temperature</span>: 1</li><li><span class='xr-has-index'>gcm</span>: 6</li><li><span class='xr-has-index'>scenario</span>: 3</li><li><span class='xr-has-index'>time</span>: 3</li><li><span class='xr-has-index'>latitude</span>: 600</li><li><span class='xr-has-index'>longitude</span>: 1440</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-bc63e43b-9c23-4032-b2cd-dced11ae89e8' class='xr-section-summary-in' type='checkbox'  checked><label for='section-bc63e43b-9c23-4032-b2cd-dced11ae89e8' class='xr-section-summary' >Coordinates: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>gcm</span></div><div class='xr-var-dims'>(gcm)</div><div class='xr-var-dtype'>&lt;U13</div><div class='xr-var-preview xr-preview'>&#x27;ACCESS-CM2&#x27; ... &#x27;NorESM2-MM&#x27;</div><input id='attrs-33ba86b1-a924-4df6-85ad-402783ad683f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-33ba86b1-a924-4df6-85ad-402783ad683f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f3adcb4c-9fc8-4ea2-80e6-ef31d27cd395' class='xr-var-data-in' type='checkbox'><label for='data-f3adcb4c-9fc8-4ea2-80e6-ef31d27cd395' 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>Name of general circulation model</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;ACCESS-CM2&#x27;, &#x27;CMCC-ESM2&#x27;, &#x27;CNRM-CM6-1&#x27;, &#x27;MIROC6&#x27;, &#x27;MPI-ESM1-2-LR&#x27;,\n",
       "       &#x27;NorESM2-MM&#x27;], dtype=&#x27;&lt;U13&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>89.88 89.62 89.38 ... -59.62 -59.88</div><input id='attrs-9002feea-0e94-4140-944e-59eaebf6e074' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9002feea-0e94-4140-944e-59eaebf6e074' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c6473768-b90b-43f2-900e-560562b4a675' class='xr-var-data-in' type='checkbox'><label for='data-c6473768-b90b-43f2-900e-560562b4a675' 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([ 89.875,  89.625,  89.375, ..., -59.375, -59.625, -59.875], shape=(600,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-179.9 -179.6 ... 179.6 179.9</div><input id='attrs-95481a4b-695b-404a-9cbd-1422e0412fe6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-95481a4b-695b-404a-9cbd-1422e0412fe6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-694c92f1-d823-4495-a771-a17ba75a57a0' class='xr-var-data-in' type='checkbox'><label for='data-694c92f1-d823-4495-a771-a17ba75a57a0' 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([-179.875, -179.625, -179.375, ...,  179.375,  179.625,  179.875],\n",
       "      shape=(1440,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>scenario</span></div><div class='xr-var-dims'>(scenario)</div><div class='xr-var-dtype'>&lt;U6</div><div class='xr-var-preview xr-preview'>&#x27;ssp126&#x27; &#x27;ssp245&#x27; &#x27;ssp585&#x27;</div><input id='attrs-7e7bc71a-47b0-452c-aa01-1f6523057efa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7e7bc71a-47b0-452c-aa01-1f6523057efa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e9870d89-a1ac-4c58-bd97-65bff8edb3c3' class='xr-var-data-in' type='checkbox'><label for='data-e9870d89-a1ac-4c58-bd97-65bff8edb3c3' 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>Name of climate scenario</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;ssp126&#x27;, &#x27;ssp245&#x27;, &#x27;ssp585&#x27;], dtype=&#x27;&lt;U6&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>temperature</span></div><div class='xr-var-dims'>(temperature)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>28.0</div><input id='attrs-27c730d2-7a1c-485d-b02b-c124ce4e107d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-27c730d2-7a1c-485d-b02b-c124ce4e107d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-675c6cf0-1882-45ef-9b49-61bc343bb33a' class='xr-var-data-in' type='checkbox'><label for='data-675c6cf0-1882-45ef-9b49-61bc343bb33a' 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>Threshold temperature</dd><dt><span>units :</span></dt><dd>Degrees Celsius</dd></dl></div><div class='xr-var-data'><pre>array([28.])</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'>2030-01-01 2040-01-01 2050-01-01</div><input id='attrs-303a1223-50d1-45a6-ba18-155c7e5b6c76' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-303a1223-50d1-45a6-ba18-155c7e5b6c76' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2257efc5-e292-4e24-92f2-629eebe22f8c' class='xr-var-data-in' type='checkbox'><label for='data-2257efc5-e292-4e24-92f2-629eebe22f8c' 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>Central predicted year</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2030-01-01T00:00:00.000000000&#x27;, &#x27;2040-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2050-01-01T00:00:00.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9f80db85-d531-4277-addf-5901d0b370e2' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9f80db85-d531-4277-addf-5901d0b370e2' 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>degree_days</span></div><div class='xr-var-dims'>(temperature, gcm, scenario, time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 2, 1, 1, 150, 720), meta=np.ndarray&gt;</div><input id='attrs-a1ffe325-7a8c-4416-bc39-3ae7f39ef8c1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a1ffe325-7a8c-4416-bc39-3ae7f39ef8c1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0f32ce11-79da-4734-8ca8-2ca1a23a5d07' class='xr-var-data-in' type='checkbox'><label for='data-0f32ce11-79da-4734-8ca8-2ca1a23a5d07' 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>Time integral of absolute difference in temperature of the medium over a reference temperature</dd><dt><span>units :</span></dt><dd>Days per year</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
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       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 177.98 MiB </td>\n",
       "                        <td> 843.75 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (1, 6, 3, 3, 600, 1440) </td>\n",
       "                        <td> (1, 2, 1, 1, 150, 720) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 216 chunks in 7 graph layers </td>\n",
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       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-b65c9727-6e2f-4c0a-aa7c-176e10ce72f2' class='xr-section-summary-in' type='checkbox'  ><label for='section-b65c9727-6e2f-4c0a-aa7c-176e10ce72f2' class='xr-section-summary' >Indexes: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>gcm</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-5f44f593-e765-4cbe-ac21-ec79238c8a0a' class='xr-index-data-in' type='checkbox'/><label for='index-5f44f593-e765-4cbe-ac21-ec79238c8a0a' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;ACCESS-CM2&#x27;, &#x27;CMCC-ESM2&#x27;, &#x27;CNRM-CM6-1&#x27;, &#x27;MIROC6&#x27;, &#x27;MPI-ESM1-2-LR&#x27;,\n",
       "       &#x27;NorESM2-MM&#x27;],\n",
       "      dtype=&#x27;object&#x27;, name=&#x27;gcm&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>latitude</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-21bdfe4a-1fe4-492b-9b92-7b6f2f5b4508' class='xr-index-data-in' type='checkbox'/><label for='index-21bdfe4a-1fe4-492b-9b92-7b6f2f5b4508' 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([ 89.875,  89.625,  89.375,  89.125,  88.875,  88.625,  88.375,  88.125,\n",
       "        87.875,  87.625,\n",
       "       ...\n",
       "       -57.625, -57.875, -58.125, -58.375, -58.625, -58.875, -59.125, -59.375,\n",
       "       -59.625, -59.875],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;latitude&#x27;, length=600))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>longitude</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-6c99e4b7-bf07-4820-a93f-cd97ad0f08be' class='xr-index-data-in' type='checkbox'/><label for='index-6c99e4b7-bf07-4820-a93f-cd97ad0f08be' 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([-179.875, -179.625, -179.375, -179.125, -178.875, -178.625, -178.375,\n",
       "       -178.125, -177.875, -177.625,\n",
       "       ...\n",
       "        177.625,  177.875,  178.125,  178.375,  178.625,  178.875,  179.125,\n",
       "        179.375,  179.625,  179.875],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;longitude&#x27;, length=1440))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>scenario</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-b028aa20-5958-4357-bfeb-85c1e7deaa62' class='xr-index-data-in' type='checkbox'/><label for='index-b028aa20-5958-4357-bfeb-85c1e7deaa62' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;ssp126&#x27;, &#x27;ssp245&#x27;, &#x27;ssp585&#x27;], dtype=&#x27;object&#x27;, name=&#x27;scenario&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>temperature</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-7e4ad358-b3af-400d-9485-d52a94f36056' class='xr-index-data-in' type='checkbox'/><label for='index-7e4ad358-b3af-400d-9485-d52a94f36056' 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([28.0], dtype=&#x27;float64&#x27;, name=&#x27;temperature&#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><input type='checkbox' disabled/><label></label><input id='index-95ccc454-9ebd-4eeb-a36e-c0289718b79c' class='xr-index-data-in' type='checkbox'/><label for='index-95ccc454-9ebd-4eeb-a36e-c0289718b79c' 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;2030-01-01&#x27;, &#x27;2040-01-01&#x27;, &#x27;2050-01-01&#x27;], dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6cc24f36-0b1e-4e55-b071-083396b3a519' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-6cc24f36-0b1e-4e55-b071-083396b3a519' 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> Size: 187MB\n",
       "Dimensions:      (temperature: 1, gcm: 6, scenario: 3, time: 3, latitude: 600,\n",
       "                  longitude: 1440)\n",
       "Coordinates:\n",
       "  * gcm          (gcm) <U13 312B 'ACCESS-CM2' 'CMCC-ESM2' ... 'NorESM2-MM'\n",
       "  * latitude     (latitude) float64 5kB 89.88 89.62 89.38 ... -59.62 -59.88\n",
       "  * longitude    (longitude) float64 12kB -179.9 -179.6 -179.4 ... 179.6 179.9\n",
       "  * scenario     (scenario) <U6 72B 'ssp126' 'ssp245' 'ssp585'\n",
       "  * temperature  (temperature) float64 8B 28.0\n",
       "  * time         (time) datetime64[ns] 24B 2030-01-01 2040-01-01 2050-01-01\n",
       "Data variables:\n",
       "    degree_days  (temperature, gcm, scenario, time, latitude, longitude) float32 187MB dask.array<chunksize=(1, 2, 1, 1, 150, 720), meta=np.ndarray>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mfds = xr.open_mfdataset(\n",
    "    \"/Users/jonassolvsteen/Code/ukri-hazard/workflow-output-validation/generated-indicators/cmip6-dd-28/cubified/degree_days_????.zarr\",\n",
    "    engine=\"zarr\"\n",
    ")\n",
    "mfds"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "997bff0e-ef51-45d1-8b97-b28e1f0c7a86",
   "metadata": {},
   "source": [
    "### Plot degree days over time for a particular location, GCM and SSP"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "9db45bc5-1833-4be5-a8dc-65e115784cd5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x10fd7aad0>]"
      ]
     },
     "execution_count": 7,
     "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": [
    "mfds[\"degree_days\"].sel(gcm=\"ACCESS-CM2\", scenario=\"ssp126\").sel(latitude=20, longitude=0, method=\"nearest\").plot()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}