docs/examples/regular_grid_2d.ipynb

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    "# SFBOFS (Regular Grid 2D)"
   ]
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   "metadata": {},
   "source": [
    "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/asascience-open/xarray-subset-grid/blob/main/docs/examples/regular_grid_2d.ipynb)"
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   "source": [
    "# Install required libraries\n",
    "# !pip install -q xarray_subset_grid@git+https://github.com/asascience-open/xarray-subset-grid.git\n",
    "# !pip install -q s3fs cftime xarray cf-xarray fsspec dask h5netcdf"
   ]
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   "cell_type": "code",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 68MB\n",
       "Dimensions:      (Depth: 21, ny: 329, nx: 553, time: 1)\n",
       "Coordinates:\n",
       "  * Depth        (Depth) float64 168B 0.0 1.0 2.0 4.0 ... 70.0 80.0 90.0 100.0\n",
       "    Latitude     (ny, nx) float64 1MB dask.array&lt;chunksize=(329, 553), meta=np.ndarray&gt;\n",
       "    Longitude    (ny, nx) float64 1MB dask.array&lt;chunksize=(329, 553), meta=np.ndarray&gt;\n",
       "  * time         (time) datetime64[ns] 8B 2024-07-24T12:59:59.999999744\n",
       "Dimensions without coordinates: ny, nx\n",
       "Data variables:\n",
       "    h            (ny, nx) float64 1MB dask.array&lt;chunksize=(329, 553), meta=np.ndarray&gt;\n",
       "    mask         (ny, nx) float64 1MB dask.array&lt;chunksize=(329, 553), meta=np.ndarray&gt;\n",
       "    Times        (time) |S26 26B dask.array&lt;chunksize=(1,), meta=np.ndarray&gt;\n",
       "    zeta         (time, ny, nx) float32 728kB dask.array&lt;chunksize=(1, 329, 553), meta=np.ndarray&gt;\n",
       "    zetatomllw   (time, ny, nx) float32 728kB dask.array&lt;chunksize=(1, 329, 553), meta=np.ndarray&gt;\n",
       "    u_eastward   (time, Depth, ny, nx) float32 15MB dask.array&lt;chunksize=(1, 11, 165, 277), meta=np.ndarray&gt;\n",
       "    v_northward  (time, Depth, ny, nx) float32 15MB dask.array&lt;chunksize=(1, 11, 165, 277), meta=np.ndarray&gt;\n",
       "    temp         (time, Depth, ny, nx) float32 15MB dask.array&lt;chunksize=(1, 11, 165, 277), meta=np.ndarray&gt;\n",
       "    salt         (time, Depth, ny, nx) float32 15MB dask.array&lt;chunksize=(1, 11, 165, 277), meta=np.ndarray&gt;\n",
       "Attributes: (12/14)\n",
       "    title:                       SFBOFS\n",
       "    institution:                 School for Marine Science and Technology\n",
       "    source:                      FVCOM_4.4.7\n",
       "    history:                     model started at: 22/07/2024   21:33\n",
       "    references:                  http://fvcom.smast.umassd.edu, https://githu...\n",
       "    Conventions:                 CF-1.0\n",
       "    ...                          ...\n",
       "    Tidal_Forcing:               Tidal Forcing Time Series Title: sfbofs late...\n",
       "    River_Forcing:               THERE ARE 9 RIVERS IN THIS MODEL.\\nRIVER INF...\n",
       "    GroundWater_Forcing:         GROUND WATER FORCING IS OFF!\n",
       "    Surface_Heat_Forcing:        FVCOM variable surface heat forcing file:\\nF...\n",
       "    Surface_Wind_Forcing:        FVCOM variable surface Wind forcing:\\nFILE N...\n",
       "    Surface_PrecipEvap_Forcing:  SURFACE PRECIPITATION FORCING IS OFF</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-d65d0aa8-a7ee-4cf2-8d8b-f6c9ee6434cd' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d65d0aa8-a7ee-4cf2-8d8b-f6c9ee6434cd' 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'>Depth</span>: 21</li><li><span>ny</span>: 329</li><li><span>nx</span>: 553</li><li><span class='xr-has-index'>time</span>: 1</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-84410255-6c82-443c-a623-8a6b90b17db2' class='xr-section-summary-in' type='checkbox'  checked><label for='section-84410255-6c82-443c-a623-8a6b90b17db2' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>Depth</span></div><div class='xr-var-dims'>(Depth)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.0 2.0 4.0 ... 80.0 90.0 100.0</div><input id='attrs-b7801339-4f77-435d-bb25-c0420bbe5286' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b7801339-4f77-435d-bb25-c0420bbe5286' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-af802a98-0d2c-402d-be60-7719250e12fe' class='xr-var-data-in' type='checkbox'><label for='data-af802a98-0d2c-402d-be60-7719250e12fe' 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>Depths of Standard Layer</dd><dt><span>standard_name :</span></dt><dd>depth</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>axis :</span></dt><dd>Z</dd></dl></div><div class='xr-var-data'><pre>array([  0.,   1.,   2.,   4.,   6.,   8.,  10.,  12.,  15.,  20.,  25.,  30.,\n",
       "        35.,  40.,  45.,  50.,  60.,  70.,  80.,  90., 100.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Latitude</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(329, 553), meta=np.ndarray&gt;</div><input id='attrs-64b7fd30-dd71-472a-a642-02e0f83e4e4b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-64b7fd30-dd71-472a-a642-02e0f83e4e4b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-081c0173-024e-49c2-b99e-dea4b200015e' class='xr-var-data-in' type='checkbox'><label for='data-081c0173-024e-49c2-b99e-dea4b200015e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Latitude in common grid</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 1.39 MiB </td>\n",
       "                        <td> 1.39 MiB </td>\n",
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       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (329, 553) </td>\n",
       "                        <td> (329, 553) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Longitude</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(329, 553), meta=np.ndarray&gt;</div><input id='attrs-4866b893-18ab-45c6-a0a9-4b2d3467fd38' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4866b893-18ab-45c6-a0a9-4b2d3467fd38' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3c1a8d13-6b5c-4d09-831f-24cdc2315dc1' class='xr-var-data-in' type='checkbox'><label for='data-3c1a8d13-6b5c-4d09-831f-24cdc2315dc1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Longitude in common grid</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
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       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 1.39 MiB </td>\n",
       "                        <td> 1.39 MiB </td>\n",
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       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (329, 553) </td>\n",
       "                        <td> (329, 553) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span 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'>2024-07-24T12:59:59.999999744</div><input id='attrs-381389a1-83c2-4b3a-984e-06871eac19c8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-381389a1-83c2-4b3a-984e-06871eac19c8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-565aa987-f693-4d35-bd24-a27cc8568e44' class='xr-var-data-in' type='checkbox'><label for='data-565aa987-f693-4d35-bd24-a27cc8568e44' 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 since initialization</dd><dt><span>field :</span></dt><dd>time, scalar, series</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2024-07-24T12:59:59.999999744&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e65d2110-16b5-426b-9f48-4f305dd82ed0' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e65d2110-16b5-426b-9f48-4f305dd82ed0' class='xr-section-summary' >Data variables: <span>(9)</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>h</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(329, 553), meta=np.ndarray&gt;</div><input id='attrs-4dfbe227-730a-4610-b764-c7d54dbcfa08' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4dfbe227-730a-4610-b764-c7d54dbcfa08' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-92fd794b-e89b-49e0-b664-f364436b3483' class='xr-var-data-in' type='checkbox'><label for='data-92fd794b-e89b-49e0-b664-f364436b3483' 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>bathymetry</dd><dt><span>standard_name :</span></dt><dd>sea_floor_depth_below_mean_sea_level</dd><dt><span>units :</span></dt><dd>meter</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>field :</span></dt><dd>bath, scaler</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 1.39 MiB </td>\n",
       "                        <td> 1.39 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (329, 553) </td>\n",
       "                        <td> (329, 553) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mask</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(329, 553), meta=np.ndarray&gt;</div><input id='attrs-b7107962-60dc-4e15-a361-8d0f2a5d8681' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b7107962-60dc-4e15-a361-8d0f2a5d8681' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dbf36565-3044-4ca4-9396-3ef0282b1a5d' class='xr-var-data-in' type='checkbox'><label for='data-dbf36565-3044-4ca4-9396-3ef0282b1a5d' 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>mask</dd><dt><span>standard_name :</span></dt><dd>sea_binary_mask</dd><dt><span>flag_values :</span></dt><dd>[0. 1.]</dd><dt><span>flag_meanings :</span></dt><dd>land, water</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
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       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 1.39 MiB </td>\n",
       "                        <td> 1.39 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (329, 553) </td>\n",
       "                        <td> (329, 553) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Times</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>|S26</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1,), meta=np.ndarray&gt;</div><input id='attrs-a7eaeb09-26ed-4373-9287-5fb37201bb82' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a7eaeb09-26ed-4373-9287-5fb37201bb82' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0411c49a-6f39-4a5c-9849-e160e4570684' class='xr-var-data-in' type='checkbox'><label for='data-0411c49a-6f39-4a5c-9849-e160e4570684' 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>time_zone :</span></dt><dd>UTC</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
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       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
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       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 26 B </td>\n",
       "                        <td> 26 B </td>\n",
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       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (1,) </td>\n",
       "                        <td> (1,) </td>\n",
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       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> |S26 numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>zeta</span></div><div class='xr-var-dims'>(time, ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 329, 553), meta=np.ndarray&gt;</div><input id='attrs-1fdfece8-fa8a-4741-b66a-0e4ff51158ba' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1fdfece8-fa8a-4741-b66a-0e4ff51158ba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e54beb6c-155f-4d66-85b1-ff7a5abe3e51' class='xr-var-data-in' type='checkbox'><label for='data-e54beb6c-155f-4d66-85b1-ff7a5abe3e51' 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>free-surface referenced to mean sea level</dd><dt><span>standard_name :</span></dt><dd>sea_surface_elevation</dd><dt><span>units :</span></dt><dd>meters</dd><dt><span>time :</span></dt><dd>time</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>field :</span></dt><dd>free-surface, scalar, series</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 710.69 kiB </td>\n",
       "                        <td> 710.69 kiB </td>\n",
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       "                        <td> (1, 329, 553) </td>\n",
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       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
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       "                        <th> Data type </th>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>salt</span></div><div class='xr-var-dims'>(time, Depth, ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 11, 165, 277), meta=np.ndarray&gt;</div><input id='attrs-6cc41468-2e3e-46d6-9c3f-a76686158f39' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6cc41468-2e3e-46d6-9c3f-a76686158f39' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0eabae93-2116-41fb-841c-4e26aed7f1ea' class='xr-var-data-in' type='checkbox'><label for='data-0eabae93-2116-41fb-841c-4e26aed7f1ea' 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>salinity</dd><dt><span>standard_name :</span></dt><dd>sea_water_salinity</dd><dt><span>units :</span></dt><dd>PSU</dd><dt><span>time :</span></dt><dd>time</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>field :</span></dt><dd>salinity, scalar, series</dd></dl></div><div class='xr-var-data'><table>\n",
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       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-0008a4c7-72a8-46e9-b97a-833ad5eeb2f6' class='xr-section-summary-in' type='checkbox'  ><label for='section-0008a4c7-72a8-46e9-b97a-833ad5eeb2f6' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>Depth</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-6e4b8f11-974f-40d7-b5f8-d62d35b1a20f' class='xr-index-data-in' type='checkbox'/><label for='index-6e4b8f11-974f-40d7-b5f8-d62d35b1a20f' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  0.0,   1.0,   2.0,   4.0,   6.0,   8.0,  10.0,  12.0,  15.0,  20.0,\n",
       "        25.0,  30.0,  35.0,  40.0,  45.0,  50.0,  60.0,  70.0,  80.0,  90.0,\n",
       "       100.0],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;Depth&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-37214f55-7586-4ea5-ae71-94fef645abfe' class='xr-index-data-in' type='checkbox'/><label for='index-37214f55-7586-4ea5-ae71-94fef645abfe' 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;2024-07-24 12:59:59.999999744&#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-6bc3e551-67e8-47fd-9bb2-e3a77b8ab9ea' class='xr-section-summary-in' type='checkbox'  ><label for='section-6bc3e551-67e8-47fd-9bb2-e3a77b8ab9ea' class='xr-section-summary' >Attributes: <span>(14)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>title :</span></dt><dd>SFBOFS</dd><dt><span>institution :</span></dt><dd>School for Marine Science and Technology</dd><dt><span>source :</span></dt><dd>FVCOM_4.4.7</dd><dt><span>history :</span></dt><dd>model started at: 22/07/2024   21:33</dd><dt><span>references :</span></dt><dd>http://fvcom.smast.umassd.edu, https://github.com/FVCOM-GitHub/FVCOM</dd><dt><span>Conventions :</span></dt><dd>CF-1.0</dd><dt><span>CoordinateSystem :</span></dt><dd>GeoReferenced</dd><dt><span>CoordinateProjection :</span></dt><dd>init=nad83:402</dd><dt><span>Tidal_Forcing :</span></dt><dd>Tidal Forcing Time Series Title: sfbofs lateral open boundary netCDF file</dd><dt><span>River_Forcing :</span></dt><dd>THERE ARE 9 RIVERS IN THIS MODEL.\n",
       "RIVER INFLOW IS ON THE nodes WHERE TEMPERATURE AND SALINITY ARE calculated IN THE MODEL.\n",
       "THE FOLLOWING RIVER NAMES ARE USED:\n",
       "11459150\n",
       "11180700\n",
       "11458000\n",
       "11458000\n",
       "11458000\n",
       "11458000\n",
       "11458000\n",
       "11172175\n",
       "11169025</dd><dt><span>GroundWater_Forcing :</span></dt><dd>GROUND WATER FORCING IS OFF!</dd><dt><span>Surface_Heat_Forcing :</span></dt><dd>FVCOM variable surface heat forcing file:\n",
       "FILE NAME:sfbofs.t21z.20240722.hflux.forecast.nc\n",
       "SOURCE:FVCOM grid (unstructured) surface forcing\n",
       "Unknown start date meta data format</dd><dt><span>Surface_Wind_Forcing :</span></dt><dd>FVCOM variable surface Wind forcing:\n",
       "FILE NAME:sfbofs.t21z.20240722.met.forecast.nc\n",
       "SOURCE:FVCOM grid (unstructured) surface forcing\n",
       "Unknown start date meta data format</dd><dt><span>Surface_PrecipEvap_Forcing :</span></dt><dd>SURFACE PRECIPITATION FORCING IS OFF</dd></dl></div></li></ul></div></div>"
      ],
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       "<xarray.Dataset> Size: 68MB\n",
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       "Coordinates:\n",
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       "    zeta         (time, ny, nx) float32 728kB dask.array<chunksize=(1, 329, 553), meta=np.ndarray>\n",
       "    zetatomllw   (time, ny, nx) float32 728kB dask.array<chunksize=(1, 329, 553), meta=np.ndarray>\n",
       "    u_eastward   (time, Depth, ny, nx) float32 15MB dask.array<chunksize=(1, 11, 165, 277), meta=np.ndarray>\n",
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       "    temp         (time, Depth, ny, nx) float32 15MB dask.array<chunksize=(1, 11, 165, 277), meta=np.ndarray>\n",
       "    salt         (time, Depth, ny, nx) float32 15MB dask.array<chunksize=(1, 11, 165, 277), meta=np.ndarray>\n",
       "Attributes: (12/14)\n",
       "    title:                       SFBOFS\n",
       "    institution:                 School for Marine Science and Technology\n",
       "    source:                      FVCOM_4.4.7\n",
       "    history:                     model started at: 22/07/2024   21:33\n",
       "    references:                  http://fvcom.smast.umassd.edu, https://githu...\n",
       "    Conventions:                 CF-1.0\n",
       "    ...                          ...\n",
       "    Tidal_Forcing:               Tidal Forcing Time Series Title: sfbofs late...\n",
       "    River_Forcing:               THERE ARE 9 RIVERS IN THIS MODEL.\\nRIVER INF...\n",
       "    GroundWater_Forcing:         GROUND WATER FORCING IS OFF!\n",
       "    Surface_Heat_Forcing:        FVCOM variable surface heat forcing file:\\nF...\n",
       "    Surface_Wind_Forcing:        FVCOM variable surface Wind forcing:\\nFILE N...\n",
       "    Surface_PrecipEvap_Forcing:  SURFACE PRECIPITATION FORCING IS OFF"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import cf_xarray #noqa\n",
    "import fsspec\n",
    "import numpy as np\n",
    "import xarray as xr\n",
    "\n",
    "\n",
    "# Open the dataset from NODD s3 bucket directly\n",
    "fs = fsspec.filesystem(\"s3\", anon=True)\n",
    "ds = xr.open_dataset(\n",
    "    fs.open(\n",
    "        \"s3://noaa-nos-ofs-pds/sfbofs/netcdf/202407/sfbofs.t21z.20240722.regulargrid.f040.nc\"\n",
    "    ),\n",
    "    chunks={},\n",
    "    drop_variables=[]\n",
    ")\n",
    "\n",
    "ds"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "First, check to make sure the dataset is recognized as a 2d regular grid"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'regular_grid_2d'"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds.xsg.grid.name"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can subset down to the variables we care about, while keeping the grid information for later analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 33MB\n",
       "Dimensions:      (ny: 329, nx: 553, time: 1, Depth: 21)\n",
       "Coordinates:\n",
       "    Latitude     (ny, nx) float64 1MB dask.array&lt;chunksize=(329, 553), meta=np.ndarray&gt;\n",
       "    Longitude    (ny, nx) float64 1MB dask.array&lt;chunksize=(329, 553), meta=np.ndarray&gt;\n",
       "  * Depth        (Depth) float64 168B 0.0 1.0 2.0 4.0 ... 70.0 80.0 90.0 100.0\n",
       "  * time         (time) datetime64[ns] 8B 2024-07-24T12:59:59.999999744\n",
       "Dimensions without coordinates: ny, nx\n",
       "Data variables:\n",
       "    u_eastward   (time, Depth, ny, nx) float32 15MB dask.array&lt;chunksize=(1, 11, 165, 277), meta=np.ndarray&gt;\n",
       "    v_northward  (time, Depth, ny, nx) float32 15MB dask.array&lt;chunksize=(1, 11, 165, 277), meta=np.ndarray&gt;\n",
       "Attributes: (12/14)\n",
       "    title:                       SFBOFS\n",
       "    institution:                 School for Marine Science and Technology\n",
       "    source:                      FVCOM_4.4.7\n",
       "    history:                     model started at: 22/07/2024   21:33\n",
       "    references:                  http://fvcom.smast.umassd.edu, https://githu...\n",
       "    Conventions:                 CF-1.0\n",
       "    ...                          ...\n",
       "    Tidal_Forcing:               Tidal Forcing Time Series Title: sfbofs late...\n",
       "    River_Forcing:               THERE ARE 9 RIVERS IN THIS MODEL.\\nRIVER INF...\n",
       "    GroundWater_Forcing:         GROUND WATER FORCING IS OFF!\n",
       "    Surface_Heat_Forcing:        FVCOM variable surface heat forcing file:\\nF...\n",
       "    Surface_Wind_Forcing:        FVCOM variable surface Wind forcing:\\nFILE N...\n",
       "    Surface_PrecipEvap_Forcing:  SURFACE PRECIPITATION FORCING IS OFF</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-23c751c4-f9b4-4965-94bf-86c2d68f0044' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-23c751c4-f9b4-4965-94bf-86c2d68f0044' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>ny</span>: 329</li><li><span>nx</span>: 553</li><li><span class='xr-has-index'>time</span>: 1</li><li><span class='xr-has-index'>Depth</span>: 21</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-d2882c6d-3861-4be3-8a22-4da915959780' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d2882c6d-3861-4be3-8a22-4da915959780' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>Latitude</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(329, 553), meta=np.ndarray&gt;</div><input id='attrs-df4d8f4e-67c7-4498-aaff-ba9e9698c424' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-df4d8f4e-67c7-4498-aaff-ba9e9698c424' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4788d5a0-8f73-41b0-8641-89496fdd6e94' class='xr-var-data-in' type='checkbox'><label for='data-4788d5a0-8f73-41b0-8641-89496fdd6e94' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Latitude in common grid</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
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       "                <thead>\n",
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       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Longitude</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(329, 553), meta=np.ndarray&gt;</div><input id='attrs-df42a365-8251-4604-90c8-faaf851e59d1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-df42a365-8251-4604-90c8-faaf851e59d1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-49165b19-47d5-4cc5-9ed3-08daab50423d' class='xr-var-data-in' type='checkbox'><label for='data-49165b19-47d5-4cc5-9ed3-08daab50423d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Longitude in common grid</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                        <td> 1.39 MiB </td>\n",
       "                        <td> 1.39 MiB </td>\n",
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       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>Depth</span></div><div class='xr-var-dims'>(Depth)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.0 2.0 4.0 ... 80.0 90.0 100.0</div><input id='attrs-0e0dc55d-7318-4793-acfa-d20e6b57a18d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0e0dc55d-7318-4793-acfa-d20e6b57a18d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d9d0e51f-3606-44b5-93a5-601732d494f3' class='xr-var-data-in' type='checkbox'><label for='data-d9d0e51f-3606-44b5-93a5-601732d494f3' 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>Depths of Standard Layer</dd><dt><span>standard_name :</span></dt><dd>depth</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>axis :</span></dt><dd>Z</dd></dl></div><div class='xr-var-data'><pre>array([  0.,   1.,   2.,   4.,   6.,   8.,  10.,  12.,  15.,  20.,  25.,  30.,\n",
       "        35.,  40.,  45.,  50.,  60.,  70.,  80.,  90., 100.])</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'>2024-07-24T12:59:59.999999744</div><input id='attrs-af71b9c0-cba9-4d27-aace-47eb60c69f0d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-af71b9c0-cba9-4d27-aace-47eb60c69f0d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4c755928-6876-4bda-8d44-1cc97df0a07a' class='xr-var-data-in' type='checkbox'><label for='data-4c755928-6876-4bda-8d44-1cc97df0a07a' 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 since initialization</dd><dt><span>field :</span></dt><dd>time, scalar, series</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2024-07-24T12:59:59.999999744&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e20397c1-5d48-4aca-8d23-eb9e72b89cea' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e20397c1-5d48-4aca-8d23-eb9e72b89cea' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>u_eastward</span></div><div class='xr-var-dims'>(time, Depth, ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 11, 165, 277), meta=np.ndarray&gt;</div><input id='attrs-3b7db943-9656-4efc-bee2-aebc07ee01ce' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3b7db943-9656-4efc-bee2-aebc07ee01ce' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-65c874a6-07df-4c84-a74e-e877633b60b2' class='xr-var-data-in' type='checkbox'><label for='data-65c874a6-07df-4c84-a74e-e877633b60b2' 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>eastward momentum component</dd><dt><span>standard_name :</span></dt><dd>eastward_sea_water_velocity</dd><dt><span>units :</span></dt><dd>meters second-1</dd><dt><span>time :</span></dt><dd>time</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>field :</span></dt><dd>u_eastward, scalar, series</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                        <th> Bytes </th>\n",
       "                        <td> 14.57 MiB </td>\n",
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       "                    <tr>\n",
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       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "        25.0,  30.0,  35.0,  40.0,  45.0,  50.0,  60.0,  70.0,  80.0,  90.0,\n",
       "       100.0],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;Depth&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-4ce1553e-ccf6-4de2-b0f2-973058c03859' class='xr-index-data-in' type='checkbox'/><label for='index-4ce1553e-ccf6-4de2-b0f2-973058c03859' 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;2024-07-24 12:59:59.999999744&#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-d3023769-9e07-47c9-bee5-bb3044d5ea4f' class='xr-section-summary-in' type='checkbox'  ><label for='section-d3023769-9e07-47c9-bee5-bb3044d5ea4f' class='xr-section-summary' >Attributes: <span>(14)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>title :</span></dt><dd>SFBOFS</dd><dt><span>institution :</span></dt><dd>School for Marine Science and Technology</dd><dt><span>source :</span></dt><dd>FVCOM_4.4.7</dd><dt><span>history :</span></dt><dd>model started at: 22/07/2024   21:33</dd><dt><span>references :</span></dt><dd>http://fvcom.smast.umassd.edu, https://github.com/FVCOM-GitHub/FVCOM</dd><dt><span>Conventions :</span></dt><dd>CF-1.0</dd><dt><span>CoordinateSystem :</span></dt><dd>GeoReferenced</dd><dt><span>CoordinateProjection :</span></dt><dd>init=nad83:402</dd><dt><span>Tidal_Forcing :</span></dt><dd>Tidal Forcing Time Series Title: sfbofs lateral open boundary netCDF file</dd><dt><span>River_Forcing :</span></dt><dd>THERE ARE 9 RIVERS IN THIS MODEL.\n",
       "RIVER INFLOW IS ON THE nodes WHERE TEMPERATURE AND SALINITY ARE calculated IN THE MODEL.\n",
       "THE FOLLOWING RIVER NAMES ARE USED:\n",
       "11459150\n",
       "11180700\n",
       "11458000\n",
       "11458000\n",
       "11458000\n",
       "11458000\n",
       "11458000\n",
       "11172175\n",
       "11169025</dd><dt><span>GroundWater_Forcing :</span></dt><dd>GROUND WATER FORCING IS OFF!</dd><dt><span>Surface_Heat_Forcing :</span></dt><dd>FVCOM variable surface heat forcing file:\n",
       "FILE NAME:sfbofs.t21z.20240722.hflux.forecast.nc\n",
       "SOURCE:FVCOM grid (unstructured) surface forcing\n",
       "Unknown start date meta data format</dd><dt><span>Surface_Wind_Forcing :</span></dt><dd>FVCOM variable surface Wind forcing:\n",
       "FILE NAME:sfbofs.t21z.20240722.met.forecast.nc\n",
       "SOURCE:FVCOM grid (unstructured) surface forcing\n",
       "Unknown start date meta data format</dd><dt><span>Surface_PrecipEvap_Forcing :</span></dt><dd>SURFACE PRECIPITATION FORCING IS OFF</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset> Size: 33MB\n",
       "Dimensions:      (ny: 329, nx: 553, time: 1, Depth: 21)\n",
       "Coordinates:\n",
       "    Latitude     (ny, nx) float64 1MB dask.array<chunksize=(329, 553), meta=np.ndarray>\n",
       "    Longitude    (ny, nx) float64 1MB dask.array<chunksize=(329, 553), meta=np.ndarray>\n",
       "  * Depth        (Depth) float64 168B 0.0 1.0 2.0 4.0 ... 70.0 80.0 90.0 100.0\n",
       "  * time         (time) datetime64[ns] 8B 2024-07-24T12:59:59.999999744\n",
       "Dimensions without coordinates: ny, nx\n",
       "Data variables:\n",
       "    u_eastward   (time, Depth, ny, nx) float32 15MB dask.array<chunksize=(1, 11, 165, 277), meta=np.ndarray>\n",
       "    v_northward  (time, Depth, ny, nx) float32 15MB dask.array<chunksize=(1, 11, 165, 277), meta=np.ndarray>\n",
       "Attributes: (12/14)\n",
       "    title:                       SFBOFS\n",
       "    institution:                 School for Marine Science and Technology\n",
       "    source:                      FVCOM_4.4.7\n",
       "    history:                     model started at: 22/07/2024   21:33\n",
       "    references:                  http://fvcom.smast.umassd.edu, https://githu...\n",
       "    Conventions:                 CF-1.0\n",
       "    ...                          ...\n",
       "    Tidal_Forcing:               Tidal Forcing Time Series Title: sfbofs late...\n",
       "    River_Forcing:               THERE ARE 9 RIVERS IN THIS MODEL.\\nRIVER INF...\n",
       "    GroundWater_Forcing:         GROUND WATER FORCING IS OFF!\n",
       "    Surface_Heat_Forcing:        FVCOM variable surface heat forcing file:\\nF...\n",
       "    Surface_Wind_Forcing:        FVCOM variable surface Wind forcing:\\nFILE N...\n",
       "    Surface_PrecipEvap_Forcing:  SURFACE PRECIPITATION FORCING IS OFF"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_currents = ds.xsg.subset_vars(['u_eastward', 'v_northward'])\n",
    "ds_currents"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now subset to the surface"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
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       ".xr-icon-database,\n",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 4MB\n",
       "Dimensions:      (ny: 329, nx: 553, time: 1)\n",
       "Coordinates:\n",
       "    Latitude     (ny, nx) float64 1MB dask.array&lt;chunksize=(329, 553), meta=np.ndarray&gt;\n",
       "    Longitude    (ny, nx) float64 1MB dask.array&lt;chunksize=(329, 553), meta=np.ndarray&gt;\n",
       "    Depth        float64 8B 0.0\n",
       "  * time         (time) datetime64[ns] 8B 2024-07-24T12:59:59.999999744\n",
       "Dimensions without coordinates: ny, nx\n",
       "Data variables:\n",
       "    u_eastward   (time, ny, nx) float32 728kB dask.array&lt;chunksize=(1, 165, 277), meta=np.ndarray&gt;\n",
       "    v_northward  (time, ny, nx) float32 728kB dask.array&lt;chunksize=(1, 165, 277), meta=np.ndarray&gt;\n",
       "Attributes: (12/14)\n",
       "    title:                       SFBOFS\n",
       "    institution:                 School for Marine Science and Technology\n",
       "    source:                      FVCOM_4.4.7\n",
       "    history:                     model started at: 22/07/2024   21:33\n",
       "    references:                  http://fvcom.smast.umassd.edu, https://githu...\n",
       "    Conventions:                 CF-1.0\n",
       "    ...                          ...\n",
       "    Tidal_Forcing:               Tidal Forcing Time Series Title: sfbofs late...\n",
       "    River_Forcing:               THERE ARE 9 RIVERS IN THIS MODEL.\\nRIVER INF...\n",
       "    GroundWater_Forcing:         GROUND WATER FORCING IS OFF!\n",
       "    Surface_Heat_Forcing:        FVCOM variable surface heat forcing file:\\nF...\n",
       "    Surface_Wind_Forcing:        FVCOM variable surface Wind forcing:\\nFILE N...\n",
       "    Surface_PrecipEvap_Forcing:  SURFACE PRECIPITATION FORCING IS OFF</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-ba1c054a-f351-4b7d-8370-c10997f86903' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ba1c054a-f351-4b7d-8370-c10997f86903' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>ny</span>: 329</li><li><span>nx</span>: 553</li><li><span class='xr-has-index'>time</span>: 1</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-6f16573a-38fa-4f60-b83e-a15fc186945e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6f16573a-38fa-4f60-b83e-a15fc186945e' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>Latitude</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(329, 553), meta=np.ndarray&gt;</div><input id='attrs-abafa43a-04f2-40bb-8165-dc2c4af40147' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-abafa43a-04f2-40bb-8165-dc2c4af40147' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c6279b09-5384-4569-b951-f448bbe5f07b' class='xr-var-data-in' type='checkbox'><label for='data-c6279b09-5384-4569-b951-f448bbe5f07b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Latitude in common grid</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
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       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 1.39 MiB </td>\n",
       "                        <td> 1.39 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (329, 553) </td>\n",
       "                        <td> (329, 553) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Longitude</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(329, 553), meta=np.ndarray&gt;</div><input id='attrs-21e02bd1-60d5-4c99-b648-031a28732ef8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-21e02bd1-60d5-4c99-b648-031a28732ef8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9debe3c5-f3a1-4c1b-a69e-e875bb85cbc8' class='xr-var-data-in' type='checkbox'><label for='data-9debe3c5-f3a1-4c1b-a69e-e875bb85cbc8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Longitude in common grid</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 1.39 MiB </td>\n",
       "                        <td> 1.39 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (329, 553) </td>\n",
       "                        <td> (329, 553) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Depth</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0</div><input id='attrs-07283095-36ef-406f-8aaa-eb22681240a8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-07283095-36ef-406f-8aaa-eb22681240a8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4ab2034f-3e36-45b4-b6cb-fe989768e860' class='xr-var-data-in' type='checkbox'><label for='data-4ab2034f-3e36-45b4-b6cb-fe989768e860' 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>Depths of Standard Layer</dd><dt><span>standard_name :</span></dt><dd>depth</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>axis :</span></dt><dd>Z</dd></dl></div><div class='xr-var-data'><pre>array(0.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>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'>2024-07-24T12:59:59.999999744</div><input id='attrs-4157b3a9-f2f3-4142-aa30-2b9985606fe5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4157b3a9-f2f3-4142-aa30-2b9985606fe5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b23fccaa-9b8d-4c5b-ac71-7dc959356cbf' class='xr-var-data-in' type='checkbox'><label for='data-b23fccaa-9b8d-4c5b-ac71-7dc959356cbf' 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 since initialization</dd><dt><span>field :</span></dt><dd>time, scalar, series</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2024-07-24T12:59:59.999999744&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e48a3f88-3059-4056-a1e4-fc2efa18fa66' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e48a3f88-3059-4056-a1e4-fc2efa18fa66' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>u_eastward</span></div><div class='xr-var-dims'>(time, ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 165, 277), meta=np.ndarray&gt;</div><input id='attrs-72d215e0-06f0-4346-8c67-4713c1011e3d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-72d215e0-06f0-4346-8c67-4713c1011e3d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ff675e77-35b4-4750-a00a-efedd110f92d' class='xr-var-data-in' type='checkbox'><label for='data-ff675e77-35b4-4750-a00a-efedd110f92d' 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>eastward momentum component</dd><dt><span>standard_name :</span></dt><dd>eastward_sea_water_velocity</dd><dt><span>units :</span></dt><dd>meters second-1</dd><dt><span>time :</span></dt><dd>time</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>field :</span></dt><dd>u_eastward, scalar, series</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 710.69 kiB </td>\n",
       "                        <td> 178.54 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
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       "                        <th> Shape </th>\n",
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       "                        <td> (1, 165, 277) </td>\n",
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       "                        <th> Dask graph </th>\n",
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       "                        <th> Data type </th>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_northward</span></div><div class='xr-var-dims'>(time, ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 165, 277), meta=np.ndarray&gt;</div><input id='attrs-1be1e523-e1a8-4c91-93b2-580ec12b6049' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1be1e523-e1a8-4c91-93b2-580ec12b6049' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cf5f14b5-70a1-42a3-a418-1e127ce1584d' class='xr-var-data-in' type='checkbox'><label for='data-cf5f14b5-70a1-42a3-a418-1e127ce1584d' 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>northward momentum component</dd><dt><span>standard_name :</span></dt><dd>northward_sea_water_velocity</dd><dt><span>units :</span></dt><dd>meters second-1</dd><dt><span>time :</span></dt><dd>time</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>field :</span></dt><dd>v_northward, scalar, series</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 710.69 kiB </td>\n",
       "                        <td> 178.54 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (1, 329, 553) </td>\n",
       "                        <td> (1, 165, 277) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 4 chunks in 3 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
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       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-62b0195d-6836-421c-8f92-b82ce0392ab8' class='xr-section-summary-in' type='checkbox'  ><label for='section-62b0195d-6836-421c-8f92-b82ce0392ab8' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-5154ce9b-1917-427d-a894-2de807795b95' class='xr-index-data-in' type='checkbox'/><label for='index-5154ce9b-1917-427d-a894-2de807795b95' 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;2024-07-24 12:59:59.999999744&#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-2335acef-cd7f-4d7f-aea6-1d6a7b0036cd' class='xr-section-summary-in' type='checkbox'  ><label for='section-2335acef-cd7f-4d7f-aea6-1d6a7b0036cd' class='xr-section-summary' >Attributes: <span>(14)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>title :</span></dt><dd>SFBOFS</dd><dt><span>institution :</span></dt><dd>School for Marine Science and Technology</dd><dt><span>source :</span></dt><dd>FVCOM_4.4.7</dd><dt><span>history :</span></dt><dd>model started at: 22/07/2024   21:33</dd><dt><span>references :</span></dt><dd>http://fvcom.smast.umassd.edu, https://github.com/FVCOM-GitHub/FVCOM</dd><dt><span>Conventions :</span></dt><dd>CF-1.0</dd><dt><span>CoordinateSystem :</span></dt><dd>GeoReferenced</dd><dt><span>CoordinateProjection :</span></dt><dd>init=nad83:402</dd><dt><span>Tidal_Forcing :</span></dt><dd>Tidal Forcing Time Series Title: sfbofs lateral open boundary netCDF file</dd><dt><span>River_Forcing :</span></dt><dd>THERE ARE 9 RIVERS IN THIS MODEL.\n",
       "RIVER INFLOW IS ON THE nodes WHERE TEMPERATURE AND SALINITY ARE calculated IN THE MODEL.\n",
       "THE FOLLOWING RIVER NAMES ARE USED:\n",
       "11459150\n",
       "11180700\n",
       "11458000\n",
       "11458000\n",
       "11458000\n",
       "11458000\n",
       "11458000\n",
       "11172175\n",
       "11169025</dd><dt><span>GroundWater_Forcing :</span></dt><dd>GROUND WATER FORCING IS OFF!</dd><dt><span>Surface_Heat_Forcing :</span></dt><dd>FVCOM variable surface heat forcing file:\n",
       "FILE NAME:sfbofs.t21z.20240722.hflux.forecast.nc\n",
       "SOURCE:FVCOM grid (unstructured) surface forcing\n",
       "Unknown start date meta data format</dd><dt><span>Surface_Wind_Forcing :</span></dt><dd>FVCOM variable surface Wind forcing:\n",
       "FILE NAME:sfbofs.t21z.20240722.met.forecast.nc\n",
       "SOURCE:FVCOM grid (unstructured) surface forcing\n",
       "Unknown start date meta data format</dd><dt><span>Surface_PrecipEvap_Forcing :</span></dt><dd>SURFACE PRECIPITATION FORCING IS OFF</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset> Size: 4MB\n",
       "Dimensions:      (ny: 329, nx: 553, time: 1)\n",
       "Coordinates:\n",
       "    Latitude     (ny, nx) float64 1MB dask.array<chunksize=(329, 553), meta=np.ndarray>\n",
       "    Longitude    (ny, nx) float64 1MB dask.array<chunksize=(329, 553), meta=np.ndarray>\n",
       "    Depth        float64 8B 0.0\n",
       "  * time         (time) datetime64[ns] 8B 2024-07-24T12:59:59.999999744\n",
       "Dimensions without coordinates: ny, nx\n",
       "Data variables:\n",
       "    u_eastward   (time, ny, nx) float32 728kB dask.array<chunksize=(1, 165, 277), meta=np.ndarray>\n",
       "    v_northward  (time, ny, nx) float32 728kB dask.array<chunksize=(1, 165, 277), meta=np.ndarray>\n",
       "Attributes: (12/14)\n",
       "    title:                       SFBOFS\n",
       "    institution:                 School for Marine Science and Technology\n",
       "    source:                      FVCOM_4.4.7\n",
       "    history:                     model started at: 22/07/2024   21:33\n",
       "    references:                  http://fvcom.smast.umassd.edu, https://githu...\n",
       "    Conventions:                 CF-1.0\n",
       "    ...                          ...\n",
       "    Tidal_Forcing:               Tidal Forcing Time Series Title: sfbofs late...\n",
       "    River_Forcing:               THERE ARE 9 RIVERS IN THIS MODEL.\\nRIVER INF...\n",
       "    GroundWater_Forcing:         GROUND WATER FORCING IS OFF!\n",
       "    Surface_Heat_Forcing:        FVCOM variable surface heat forcing file:\\nF...\n",
       "    Surface_Wind_Forcing:        FVCOM variable surface Wind forcing:\\nFILE N...\n",
       "    Surface_PrecipEvap_Forcing:  SURFACE PRECIPITATION FORCING IS OFF"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_surface_currents = ds_currents.xsg.subset_vertical_level(0)\n",
    "ds_surface_currents"
   ]
  },
  {
   "attachments": {
    "image.png": {
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sFMPYoG7l6+s55lpjNwbBEr1Vk/eL8nIoXsHhkq4x3u5w6J2b4OUZYl7OuWwOnHgnZbPW7bQ9WT+KKxYK4Z58em+Pxj/3Cu1el/5u814mP7hP8SwvzOSN4eXvoALPosq8ytj802Z8dwWQh+F32Oc92xpaqQht+fa9kyAYjebQKlN7/fdO4KiM3mUt4VN45/i807on5SYUeLcokPn03/md3323gE3gTCgwocC7R4HaMG+X62WbTXVsGVmumEtbBz6my3yQPj7tDkwD/I4YIH3cJSiKqU54gsAABR7IGRpnuJ15GbrwIDalNWghxP3ImsMW7JVYeDHoMDkwvs70wLwoCKbSt3o7drF12S60LyFonnA4UeiILVf5IBwkTFFMEBy/Tj7gygcDfql3xY5kF6yULnmqhBsJZkezR+xqNzDl3gzyZ2HiXSjieiZTsZO541ZIwxxxP+K6xuoT8xQTJCiVc2VLw8dJvFzrr3u7PV3lARB+dcm1gxzFBDAgIioFHi4yjuQnXoKa/jwdaoEo/2IYESRoU4Quwb2YKlhtUEdk6Kmobfa3Yd77tpxehHZdy8IEqp1Z8h7PL9tqdw1GuGe5fN4K2QKMHUIi8OH2LOV9JGFKR6RP6C8fE94yfggSDOBefJyosTnyL2eXEAIQYFOrYZwAp5gu+hgQbqpGkw4Z2uHUEF6DjJWHRXt/4QErpxIhRIljQWV1qNzadssqMOcFOFKNDzHgoq9CXxMeCh4B/aBVX22isMZjZM4lv4f+BG/Rh0NFBEsClJATc64jm5zVF/5McB8FzryEcjow4JEIlhGZgMkoLaAVEI14R4FBaZGXFzwJAhJShUjIyzMEfXVk8rPKDSHbPMc8ywxLZBjbZcJofqZAuVDmxNzAnmkFYVPwY2jQGw6X5/9ii8KAVTie61ul0wgCUTsIDXnocvuxeSvlM/5uEOxsNm079a4LTHPTYcIltAqoXAyY5BkiWCluMOhap7Vj3RYCJ8+knuUgtKg3k/y0davWs5kygrKVbRfhsg1SA4AVU327p7Bj89mO1bsZ27ZEePHS752fviZOkn5Xy28r9G0RVGenCghPJauUEcggyDZ0q7W6tjCNQJjkVytEkw4TDU60hJh6xv259HTvcfW6h3hWhIQ9gXJ4XGjSr8tzr4kTBR8/4cLB+ztWY1hAkroEXWNf7wpd69nQ2BwPMavg6rnQ+HRBNgGi58afI4EFD6WNQ1Ab20x+tfsdKxSG1DWAFkOrNQeWz9LX+ay/k70s7z8JmJpcOEwh9lenO6RNToi3jb5gtKFJofhvLlx2Onyf9czmDhcd3zbRJgVuagpMhMubunsnjTvsFOjAOLw2qFgZiWgp10PrADMBx9ODH9fHsInSR5PeWQRP8bX6yImJdrYmMiIwDdKsSPiRkCAhBE7CrzvMeG8OYSL5k3ZQPIcElyICWy6d42MbD81Uo9FAIydNxHJ+EWGoZ9VMNTBCwItBjIYYUo/hWn/jYfxuBe3dIoLlUm7Rs0iwasEkr3fWEWR3bau7HZh2hCgxRznq5wo2lgNtmpirOkJaJXWDGXMYIwk2apTQi/U6btwczS5bY9j08uP4eWZFjHNZSQYJPi48AluMF/8BLkQZIrjB/jlOKuzFqScIfWnPLxw61t2r0+mmnEN7pPiQ5xVcae+U5GVp9+niSWun29B72h4u3W8PlO4F/yXyMAaGHWcqBTs20qkuoYvDq+BH/SL8HDGqFD37aIM3httch/GRJj4nzZXuBZAftVijQ389BOBqZsoezt5nS9nFUJ0yeuVCgCC6hCuPni4X0QR1rcExA+Muxkm4KLTHtCgeQbQEYAmcLjAqEmDSuGgMK+SkvZYWBvyjIKlrMdAuVIqRBr6egxz5JEyGgzGcaFk8v8pwxCDtjzSyXrfGm9Mu4BnxVV71jwTJEGJLPcXHg2A6ky86cMSQSjSBQyZ00hB6p522Rnvggkwe4U91dBhHzzYRLsfpmQC4gqB2sb8nWCr6eLZv+UbNGp2u7TSkATbamkVDOcezu9c20YUmob1sOm2k1XQtMvmF4dCFyzbVBmFbkziZrDTEJd4tRRcgstBSgozOes9s1ToIF5TIF+1KP2j1VP+DxS002R1dWpEX1cXhFHXcoEGe473z83I7ZzNpxl4/bVO5IZMAGbTKBd65OdvYaaO97dt0OWjpItauMU9Gu7dQ405HzKD+59B7ShM9CkqPwmUS4eNJY0rCXZikYKwncPQ0Kc7HksYUhXRdq++6Fl3adN1r3Gmc+wsaBEaWK+SPwqWeIY3xGFw4VX+S38ef1JOqQwf41np1ayFclgvSzKcQMIW7hEu9mzI2jVZXY0WhnMHiAEDXuozREQFiTe/tc5bx3EP7qLkCCc3vBH+V5XPpdHynrdV44jXkdFZ/TMKEAoeVApqnmYQJBSYUeA9ToI8w+Z3evA35eN+eadhsJc3HXszdwHabfdvZHZiUFtNoN0ulHkwhjLE++GPT3M4swJYEhh2BASEhM4R5yk1bvxdEB9cYIrYV0KqJ6Qg80x4zA3vkwsndhTN2Jn/KmVTnSg58iWU26PFwQf551E/gq/ZR+Wz7vM1iCruYnfd4ldtGY3KpfdW2BtsuyMQCMl0TDAk6ulDTNnrbttXf9Y/5Snrds0rYeD/Cl1d8sE5gCBWZk8r0Vtf35O+0671VL6sfLwJjJfixeCglOvAnpsvPIXdgJAWJQAHRUgIahLI0DKq0kcojoU6CKT3j90JQOk4vBsyDQQxgo4mmElxLhZLT+v3FB0bZhMeMBM3M/baYWrCn28+5tm8gzYPQAWToftUj5i+JTCCI8ewzAZBBEFFSyIspLBMISA5O5zYmwxFLtVkCfS6Vt9O5k5bqJW0WvBH6yqX7oeOtS+VS1y3MFO3SagMmvWVH5sohnxI8PYGle/Byk0K0SqKb2il440GMsgSoKEDqPMpBXmmTvJzDDkK0hEoPDm8MGmVTxAWND/jHugRQ+Ojkv3s/0ppqEsTrVB7PG9LVb21guHZUZYVbAtPHQW6GOJ6k9rZrL+vk6dAPFRv7FEuRO3YbIO/9PljsoPVO85ygqYIZbXWkRQoMvnK5UMw51qu4Rpf8/YpNV/u2stWyWqNjS/RDNMlVHm9p0lg9ZxrHg+4uQkvQPHp7Q0YErjzjMotWr2/3V5sIY2ZfxspC4anWvDXRbD+EkLlQgVPeInJPzvU879WfL2JyPM8kyrHGwD4y08YqYmhl1MxH5or22vWaazPnmCBRUH+qn930Wn2cjBeNB38GySOa6ciNhDrGGzSOWUl63fhSv2kM+3ghXe9lwVBQXAwS9DVR1uOdo6Akvf/ymEVnoL/02HrGGQijsRBLOzzVg5Y6b0XqCF3kY0b5KdtiwkFaS002aTIhPGcyNUcAoz1LmMZKS64yflBmqsNkB/ftMTyJfs8H9VcBs9hmQ8/T0IW7t4u0Prl01b/RWFf9eYT40cTa20Vikn9CgfcIBX7MJ+w9guEEjQkFJhRwZsUNKPnq67tdwGTmyFwWU8O0re3A0MJg9rZltiRxAK2PvnQJ2xK+8zCLEhiTkIdhyKNtaPEnAUjrqTRTPcV6tES/lRSXkBmYF2dIYDsWcvM+Ey6mRciI4RHTIgbD12YhIDiSzsn4T6x2dH6lcwFT2EXXgglOFyZI631ywxzCywk+8E2rDRuJ1kx6D2b0hQBcQAXTVmfQvf7ACO2w7kwmvqlByr7S/Av7ZOWJBLeAiioO6GBuhFauj4mpQh4h5t78XfZi5xwt8wo8PrRVlFBIUogc5QCY08nP/IDXEEZU2mHRMRwIerKzSqPFJV71q7x0r7pTq2KcalHQOlOZqR5Hq6oggVu5SkXMeWHwIhOncgpiLhdSs/bx4kdtNb1hL7Rftp8qP2HbaH2/Xf+BbE5DRv36GtDkFq1Df7CnwVB/TWECKfykzXVMk0pkmivGUlyT6ld/KZ+CTPGkuWijPf1246mAn/LAgArGo6WHbIYVbdL4zE337Mpa3cpcTyGYhBAqcfACCnOsusQke1sFKwkaZ6qvgGmwj++xNGXpJFrQWM5xhXYSwAbDYDKqONUYoWrtm64lYPqY5aR7Mfcl2qU6da/g10mdBcq122gKvVxIj7/SfA4wE/URQmWhhcpK3cBLZUqcd1jTKlNpaAdDToQXz4BrBcGmVt17ViPceD5KuTP5tvWnKM2swGu7Mmfc62dnTGOlSSHVtZvN28mpKctWMbdfrdvZy9u2PFeypfkykwEzSDFoLhkTDNXRumZvHzACLSMG4XxssWyvXtm1a+sNu3sZTbI17Yv1YNr+cqfqz84DCJgZzCgHrA8/LGGDlmz1MnZuM2vH0Lx+erlpR2ZLCORdxm/DTUFlcqyg/syz1na/Bj4MIh839HkhV2A8JP3jZAi0UPoeVZKrZLBBMSe9SoUi4V0R+8MFPd5jWtcbRqz6SGOdyRlppfnTWsg+z4vGqfA8GFp9xhDvpgHa8xnW2LY6yXgmY5u0DuNB1isq698OQAyYVGo2U7Y4LWsAxihprnHVO59wptKy5+rQg7W3hy2onRXGaZ3nj+73b+nbaQOvLGgxslh/O0U9bxdLJIU83/ZkGPj95GdCgcNIgYlZ7GHstQnOtyQFHi9ingTj4KZpMk/jKGOyVWVtkK/DRMAUK6K1MWJC5Nwn8BQwJlwk7IkLkt1ex55qPmtnu+f9Xl8zOSTJuampyJuU8XKYibG+sYhAelvxlC3mFhx+hBnqwGkJgk5cPxfSBAbmA22anEgoTkLDNTSFEurk2EYf0Va3hcZyG2YG5yv8KU0ml5uDHUTftqVxIJFGM1MtTjNjLqcpfMUpKHZJ+QVDzoaq2apJu/e+wl2hvcJdyI2dyeohagMEQxpAhwPNZA6sIBNhb0NSPlQYKvV2UJ/aIkZe5mEySVO8mHAXC3QNHK2lcicRwoF7aS7FGIY7Rw3Gc2h35s/Yy51XfA1qEyF5o7/pwrdwEa6OL4KHtHaCozJiaCPTKhzm0lW7r3SXM4RTOAoqQ6sB2u4S5ph51u+qbVrrWeIM1qz2RPgNPLLj5ZMMxImWbhJNefWF8jqzC+ek85XeNbvYwwGUrbkjqIvdy/ZK+6KPI8cVU1vheE/hdu9H3UAmBBiYdkwpg3mh6IxmF/qof7yPiPGz6MMh+nofjJ1z0ljCVGt8i9ZtnJn0GF9hHZkDAIaD9h/1ge4VFY9wpQSEczSNKquxK5hCRUHnbLBx83uH4+khg35H69OUORZUbvLp2fR+TuLVDuXxs/oTc8MeEyEbdda3IqjMTrFu1UGncIqTsh3anBiWe/3jP690sqw1HrCmEUGCMg0cz6xtNzBVDAJ0pYB2ebk6Mnt1GgJAms5XOjn72nbFthkfVfj/zc0GZuis8QVQsVRlYAlG6D+vk4knPRup5LkIeAhR2shY1CTXKppQCcgnp9GaMfhXellGEW3rFTCPbVlmF411YcwBWADynv6VgC36b9EPT+3kWZZgVmFCpAONOzhAK6O5DRr20KduMqyJFvpdmm1/R0MfmXM7tRgTPkaTMSDaaQJD6yx9/Oo5CIMsIbFKJZfxTFnAEMI7T1fuoE0XY0Em7cJNVg+CKVz0rOjdoUP1CXpLfc2FrFh6TLZpekBBpu8+UUeaJmxUh5uL86xsM5GB3YAtzWKazsSGBFpp3jv0/+ZuB9PsrjW7mBEzkXEoA23W66XT1viGPHpxvcWg+QMJl5rgfbtB/dPCIVCJgabP2yRMKHDYKXD4ppcOO8Un+E8o8A4p8O1mxX6qgiYgYQLEaYjX0EewimON3QaeLHHy42vGEkZEDK4YiCjMqGqtoTmPQ546mkFpLPUpzDO7XkCYUBBMFVNQuR6mUw+V3+fOZZw5VrzDDVDFeOjjGAVLL+g/0qjIbAvGnfxi5C/ivKeAaaU8zgr/11qXbKeza2udTbQlzPIjwJ7JnoKZg/llbV8t23AGrZRF2wMjI+HMcQZJMYCCeyp/1L2unsgf86+78FfwJpCeNMWFXBfGyCDNZwomSuWF+13529Aymp3vXnTnOp2+q94CMUQRAeFEKS9DMa7CX0j0Kv0H2YC8wiLRFnMpw+O0TFC5lu5MDmukUWOJlwuK670tp5+8st6ZP23TadwBj4UutmhD1jopSOgSU3owOF2gtcx+hcLp/ElocxLhAY0EfKYH8BIUtfNc5yIMYjCBFb7eJn4kqEa6CKaYS19rqoLkU3oejYY0FqpHIa9JCd0pgkN9dyJ/3NPij7Q9J5bKduFaDUFI6/UETtRQUNm9vnJkHKfQP6o6jj1pxzuYAmqdlKjp69G4kodPeWOdndK6uEBn4as6nHIOP9RGdm9LqDfAdmGRvAopmHAPsXyEociQBTrnfdJE8EfRybUjQH09CQ0Erf1UzY4xNE/npzFGVL1tBDM9O3IGxHo2tN9PLLbsKBNFX91GA/QGzO0fb5fswyWEAxjRBWBH00jVJQdfrtlK6lOcB1C5oPVwPOabDIit4aLNVyqYsO7Y7vWGLU11bHFmjskHvM5iEpnKJQLhPsFSOAtamHKYYU3iYGnoJs8MS7t/XuPD7C8aeLRVRo67j67ZufpyeF4DJofqt4ew8JUm6067BXtkigmW3R27vlG3o4sVJrsSbf6oRU6cOER8jPnoSMZMzKYxOy4YqpRGqbI5hNFFLHHgrHEGbbV204XWfcnhmVFUuUQ/UJfeF3rn6d0hzb+/eww3UdzreVbNDbxpZ+SYicktvSf1boi4aIzzuvLnS5Ys65i3FzD7H2BpUmNpRhcNr4RSrYl/ZGELF09DHDnl7EI/cfa1D7/39o2vv+QxaSFglkvQMnTpmyKt8a91m0kPvmn+8QzSWkooFYxJmFDgZqDARLi8GXpx0oZbggKrcIVnYQ7vwUOkm4XS6hFjyzdNDILWwPCp57POeiwEjTRaDBcwEwqJJ9H2FruDGvnCDHYe76PFRLD0bMnHVPB0eSpzzLcryTFzr3s/Aofps+ASHg9+UoWXzC7HGR+Vqw7LLjiF2XC2NGhdGa0Luit/uwuP0li+gvBTz6H1QHIuonmT2aJ7haX2rBrBrLlMMc/gsfaOwpnAIHl8EFD24QOuQ5h8MViKj8EdH1HG4zgLv/n0LMw2wlgSktSQRxnIFf90F+CRiwvp9dTuCE+pwVNsyOlaMi4lyKc0I0DooQVB0Yfn2g2v/335exCsg2mhZ9APAAVVwpULpTB3Maiu59sv2f1s5aIgAX+IsJKHgVSa6OZoe6oiuHMEk1i/J4KzoEpH2R92nZFUo2A9wxiDs1Qb5ek2z+TAaNwJpGALjnD067TdVbzD8fVCo3SYXcbjn29/337p/J/ZSiusdT1RWrJ/cNe/Y7947KMOzHtQgICpekbwqV9jrdHuI8y0GOty2BMmV8SUrWMeLuvQFlqUZdbICY73BuVqrZ5d30IzzvVsJWsLs9LeBtx1Vi1OO7UZYKK1x3MvLXFsrzfF80Mr8qh/fXJFCQKeBPGIgudr3riWmbQ0Wq55hoYZzFDLTBbkMuvWBekeR3A+FQDcke9YdXZgqziX+Wr99Qy6GN7vNgvO+P5cAe+3Sb06yVmPe5Aei1utZezVXT73Y0NLMNYrJdsZ5G223bRsa5MtS2Qqi7fUaZnKhszjbY8gRZ8hk07GszI3VfH6r63jqCjVtAcWUvbdzaL1WRd+qVu090mdKQRF0EMcemhpn7GqPTSFGf/WJi0Z2vHFZHsdb9f+Bo73yeuaTdaDJIn5Q7xG5Bg86D2qImYkQv2gMbUvJFllKp1hskLpGtMxyMpCXrrz8vJMdKxHVgBdJtV2ezUsVXDC5GNfpcL7RjrsqQrLF3j+tvEKO2AWLS2T/2zXt+DoYXreb84wWdKzhyo1uzAoHUrhUs8Fr0+2dsEEuDVAo79Hu0jDG53jPJC/s2J/3SjjgTjlZ97VMByahAkFbhoKTITLm6YrJw252SnQgRP4TnsJ/vAKGqkxxoOGt9meRLxtAYZbmjMJTi6MILxIdxIZbWktX+lecEFI9FoozNnjlQ97Xt0rCI5DT6qQwwqZtmrtjkytNFuuHBIcXSvppQKzBKAAQHA01e3AEkCkTWOCqtAFL5V4MHOfrduGvda9hMlmCS+qNTuPRi2FEw0x76UsTkKA4wKmWkGcZtTFLDneQPG2qR6ELn4F1hvgJ/KrdkdFaQSPUSRl5Cgowc6LzeD9VkcLRmkd09TxoJwxr5cVCP2pbl0zax3NVEf5PMGrAj3wQygewJBn5HRDdcOwprWuCXL0W52RYDlWk9exR8ekcRET2qy9Or9U+7pj92DpPjenbdFn8vQrD6ixhCPJD9U6bYWj2KbgLIlcwo3c7tyGW60N9bYpietyNqxPZGRFUA5LNx+rPOZ9o/7xINomdFEmxT71zHP2N1Z/36byZfvHj/0t++TSo571z1eftP/06X9qv332/7X/pfgr9sFHHiKeiY/Yn+AkgVxAmqwPk2DZxBQUcnkYq4b7FFolNC8M+iPzYYsPtaeBVrOOgyT1mJjfHFqCGTScjphwJo+vnUvWp6kd0vjm0U6G/TO1tswJESr1mig+1t6YoDjV6RMHajj30vzqOdIWL7GMj2/GufDpoonVNi3jYRHv0Nk+ewqC+zqm4QdD1Kg822W7IjRoMcjZUURLdYk+T27nbVe2nTcIXQTk1RJWAp2SfaK8YlfWm2iGi3bqCAKOA1IjAJIEXSlGcQNZHKCRnmebDu3BK9pr25NfPrJrf7hdtdfa09a9ftyGwWeXlzrMPxjp2/dSc/YzCzhGWtl2IX55vsIzPP7E3qCFgWBOT5E0rKVWviThYJHYgUm85yJO59gTuvaJD84jKEmeUGzvGfR+TGA6DN7daUyhw/srCI/a5qjNnrN5nHo1eadorKo2/Xk9DKQ03onLLLsoMjbbTHQW2b5FJrhtFjAcx4LkUgtNPPv6aqxrbfFhDaJXEfTrdZweocHMM1HyZkHPo3LxGh3rkDcrxVjgPab6tH/1JEwocLNQYCJc3iw9OWnHLUEBfcC+0Vy2X0hfxHyNjz8fMjHxHT7oCjtNvP+xdYkmpXP5vXUjYm7FmkyzLnGIIKpyy7kj9pHKI858hq8iwIEVWA5Bo0TCkHChL6BrKt2klGvNcns5fUxvEALjErJ4PvLIREtBDK88bvo1yOBWAk3MD3AwAQOD23s5kSnn2ewehlVeSr2dfLW19+UpzC1du+SlBUsmZnuCpaMMfOGuz7XoI02pDsWMTB6T9ASMC63Ko/yPsi3I0+z/udJb8+QASZeCKHT4I5/+9O/xTqKkzlCza5Y8g/Jy6HpAO4aYhQ5lJpsweHJUk0EDlcEBUBNnGiXWNUVaURDvuTt2hH0lnYFBuJYsIYZvgED7aPFh+2H7eYThDfZIfMGdGcnctu/0deQcxYC5cDW7LXfKVnsbxiYWbmQtE0YJxsojbaXWXapQES3lLGPGHXuQJmin2Ft0Gs2Gw6OcTyKQouaFNuoc+pnsru38F5e+Zb9x5fftn3z4b9rHlh60337qD+wXvvnfK9l+9fiH7HOf+C37+uqz9gvf/V/td3/01+3n5j/sbdRaQJGpjCdHbaexug0bi2bS1ymigWwjlGnsS+4rIDBq37111nWu72o96pC1YXkEAJx0IKAplERfyl/bYFdG4GkrBQ/qO2B4+9V2gtoiGD72uY8OlXTvbScuTLTIkVU0Uw4pMt1VcP0TMOIkRhgznuQwpktZhF7WqSEsa8sLQO8Lc6WB3TvTs++00DYdTExyXuvnmVAIOCuq6MLlHqBXcUxzQevv3iQ0ERK/Nli2x+fXYKq11k5aXMGBBknwK7WHi15zxc/99ipjFxNbBMwO5rxr9NEJtJlZxmaPgfrYbVt2ZavKnpl7OEV4h/X8xcGifXg+Zevb8qabxrkaksh4/+yRbK+Jcdwon9IjOfyeiFgmxu+V3LsS4QnKErN7RPITi8a0Du+AIvgFKw09k4xd6mNaEAsFLFtGa+xJIl8BiSrdwclUr+nLJ3pYn8hUP4xboPKv9z+vKxyraXxoDbS+K4u8R3hWedY6fF8iHuO4HcbrMg5+5MFV6zDfbC1leALDZM5bbb+eMe1rWa681RKHkYoTnG9FCkyEy1ux1ydtPtQU6GLm9MPurD2cYzsDHK5Ig1hCCdPD/by2JWjXhni8g6nPBJfqaSQNeYUVE5DH0UK+N2NTrGG8I3cbWwkwwwyzIWFtCi3KPpYlYWScISElCGth7eQ4ASMjEz+PI02YeBGHIQ1I+PRGJjyADiWVp4uJnQuWaG8kyJQwyROzr/Wlqld7Qyr42kUxS2LICM70SLAc4arYwECRyRkwpTWZkQ8CDzPEiaANiwzDIIY+wNK2AgO2eBAomdDKBDRwSSHdfwPKlIx/8GSU15/a7esthQLpwRmEBBSYOpgIFVU+D+Tts2+e1MpDGLI+zlm0Lk9a22O5o1zj6ZF+rbEO6lL7ss3izVEQVF7bGsjUTcInfAkCZs8eyN+Nx9tX7Hp/1V5sn7X3Fe9BkxQEPNWoukP9qj3ioOsQ1Dv3Fe5OHPiQrsyEArMUC9lZLyFthGiqta8y8VW7FcQgRWHSi+3rC7PPrn3HfuO537dv/vR/ad9de8nu+Oxvern4888ufN10/I8f/Jue54kv/X1P+snKB/ysatKYvGr89hFYJFieXCziQTfQQOZ/YepE6DHm2Xfx+mbbNhEytQZqYQaHV5wVSgVMaRHENO6vJlo2bTURg++hCSepMeN7fyZtVHoY/yPqxSLE8/BBIddGJaR1Eug60oKzMBANg0CqIimbZ4sWCWMrmy3fA3R8b8o4Lm/L9+wFnPhsRO9LFB0PGnO5xMxa8SXao7Kq+rWttH1hmxVw+Op5K6EDjVexIJjqNXxv0qnSfqE0UBFIao/WLHugXzr4WM3P4r0a4X675UKmm0zwCL3aKeORecee571zM4Wn03N2Owr17vouY8WYyAhbsQQajSg1arIPDfrFhwWxfp+k+nuMEaI45RhPiwD8HQfYMCTJkUzgeN4ErvJ6zXHccS/rEmkl9ZzoOdWa7D7pWmsZ6gnvScHVOyuHVYWCFlhsd4KjNa2l9HXDZPK1mDRYz78sMbRWv8Shegt4kK1jSuqABfCQBz1HMpGV9lKCsyb33iiE51Xve3233jzo+yYnPtKKhkmcNy8zyTGhwGGhwN5X9bBgPMFzQoEJBeyV/iybVU/Zo/lN1h1m2e6hA2OH2SDLBdu9tO9/KY0OfAVBK+lIJGg14ZSh+UPYu5DSLnuBD5jRZthLCHSBNXFzQP9YwoT495SP7A2/q2NMjAPTDx9NX2+GcOQstb7Ing/o4kCSOnTVZX3f+e5rCJa6Q+uSL7lTH9Umz7WP4P1VePgB45N11/jKLOaW44BgGfMmHJjD3GWz8RBCC/o4n0gahWCEoRuMkjSH8t7ozi6Am6fO1RZ7Zwpfio3arqaM8E+xT+btdgxt6jeb3/cqpRQOa/dgsLgewvm7RpBrFzadjoGWAi2tn6+jRAM3LOLgKHWVtYjrI8+NKnsSR0VHc8t7OCStUYVBsJV2MItpZNWu9TFr7F1nKdyAzezvo9KAuW+1MSoXLrQfquBHpvVVPL5KI/mRchDq1FnySDvaZkEIwxEJe7VFDKq3RPRhPAU4amhCLdKfefZH9htrQbD8zMVv2e89/5mIxevO/8n3/7H9vff94kjA/KPOgt199730C5MDCOLySKntD44vBMFS+Kn98iSsOiNe4o1lmnl5reXeK9uUnS6rf/FoWUOTg3BaQWhqtLqY2DbxrFp2plgI+RpZzvKwqTHhbeJe40rjxAP1EuP/jgPCqPam05pKjSGtwfRRIlL4lZfyHzH68iwaaSQz9ujk6PJqzW4/9nopsFoY2F2baC/HBMg9iOHqEtsKKag+F5a9D4b23ACm//UgPe+NfjLg3qjtWgGrhPruOlYQmv1Qe0OIV0kPO13ixNGgu8P6YRzIkL/Gxrt9NMkKzzbn7a9WL1sX7evZ7n5HVQHq4fzVMoVzhXm2K+FZuMqaaWi+OBPes96ihG6iglNCY9T7RXd7Y0hbhrjlBfnj+yvkG6OLypHe4nlUUQfjyQ45wBdU0jRJFjMoVbD0nuzSt7rvA6Of0hZH4T0qMBGKXtV6BnIIPEOWBkwVKrbbqrmznoLWvrtQGZYlqJDeO2WWLnQwv+/xLquztjnA2rNMEfzDHLIsXdAEmrYoKbPH9BuFIHjquxQp8EY5Q7w8vItYendMwoQCNxsFJsLlzdajk/bcEhSQpqaGoPW1zhGY1at2hG9emo+aPHAW8wPc5mt9WgpBE+2OMzkJ8w9DIQ+WkWlWkrRBWpMmBgeZwYMECmmANKMqBj4YTB74CFKY4oGj0Zl8IS+x+vd0LlTMMwLFQQQ4HkViD82qhN1PTj/hWh1pdlxQIFtcOzpithyuHBoFhinUEaoQcMV7mudjv8B6zfHw8qHaBBchLEYgaN7k+CJpjaMrWHJq0cZrZjNx2S9z0QrOdqQPfLwU1gsGKHtNDMKavJbCKEqlBFxvuwgb8Qs1ULcEUNIJ+u3BmA0ylEWLmeqL9Uu7CeoJzFDHg7fZyyqWkoKr+hyUmEI5O2qj60VjgZgq7Jzf8brUl2g80zjtoUBYF0sOymrtZoM1uX/S+4I9UrrfVK+DTCqnGocl9J2eSby2LZBzpR82f2S3Y257LHvUW9hk/dWvbf1TN4WVxvLHCZYJKM9zorzgZf72D/65faf4O1ZKTA61LlFMntZLim7SFKutAUnOwouTxuAUGjRpNyVgyuTUzcZJX5jO4+WzyHpKrd3UuGdy42qYZBEO0mreflT7UPJAOb1CW+O4clNl4qOmwekDXK1DHaJNLlC3NmGPjqyUTvK+EMaiRniAXa1oD9C8a/zmq0Wb4T6WerGWtT9vIbC8yZe6DpPvPc04k2mwlNbfu5rHqQqxWjr3JiHLeKq2G7bc3GDf1JYtz/YQLBiPGuyi9Vh5bw/tFA2cTkkD1eZ6vY6GB9NKCeZJmQ4asn+5chq1FhFvzJuP1XB4LmWqfLkyi9dn3mEraDC5n53CWdS+TodOTiv1eZKQnOIemGEciZ57xzgVlD6a5OFa95G+AunXPl658f94DmPMvwFKB77G8A5bPxVZdhCcAY0gBezANc2euPkiHnKZMNGesjUEzJ1B3aopOW/CkoTvg3AtsqWN9sTksbS1XRxYMV6WZ6URTdltbEPTwvD+4rDE1kpYA4DSYQ15LB6k+W2zZ2tRgvcbtEX97N3wJg3Ve0vmsAVgTcKEAjcjBd7kk3UzNnnSpgkFbh4KwAPYl9rH7PH8up1M1bxh7h0QF6S+pI+ZZn3oc7iikyZGzEVX6kyYAX0E5anyyhrra9AKyQtnBVND/9yRr8NemJpVd2Y4xAbCqayzGMxcR20OKfJ2GbU7XkdCZhcAkmuZHQqfEbsKrHQ3bcv5Ra9nxLwn2ig5Egr1k5EQ1/dFrZJiha/nAWculA34WouHACXuOER5/MEfpcf1i0oTgxzb8LHKR2wrt4OTikteTF5ST+dOjOqIsK520RTCnIuBk4dchYATFyA40lgisLgQ4jmUYHZb7iRbwrR8vaQi5Dm2h2ZVTKoE7jvyZzy3fmJbpYGQ8tXjqFN1uSmyX3DDebO3a8+3XmbPz7t9zZSELuW53L1izXTbXuvgpVcQ4ZI0KaG2yTRZG6drXPyg+Rwmt+x/yJ6FS1n2NVWgvPqyjzMmefFtsy+p9uO81L3qZsuIxXa2/Sra6J6dzp6wP9v4gd01c9Tumj5tT3zztwKMt/ArDeYrf+1/puxX7XPA+MXjH/U2SvBTGI0nIeo4QTQ1RWnKQJz+ZKJ5Em38FbyYSsCcm2L/VNZgShCXeewxNKCvrTSgpbS30jjLa2vaOgj2UZsgkjo8YGqs9KSZ5CwtZazbzWeVzfOybo1npomQ7rgojqDxGcYx433smVGaTFoXZ0u+B6i0qyGodMq+vIJg+RY0jz2ePX3MtRXL2Q7CKfvqvKCYtyBYlnjO51o7drS7bYuFri1MoSFmf1RvkQjj1Ay3oY2xPfvNxrXXZa1TtCn23f3ROtuYzFImCdOVgd2JsPpCizWvemndRGHAc3p5et76LEdIrzY0LFzA9Ava6TSjX8I7Kml4Mjg0waR3msrEEMeJR3o+nrlkfXrMs3cmQ/j3KL37NfbDk5AAFXDGbAyK1aSAzOmVT/m1J7KHURHiiErxEZH8o3eRxn8dc+m0DD+AWclOs8SAfTMVj9loU6ajPKN6hrTOWWXu5/35wWLXvlar2Is9TZoc3lDGa6y0l+wKxfc0IdSB5iBbQid12o3TY3Z9guVQScckTChwM1JA36NJmFBgQoFDToHvd+bsNWaI35/ZZKsPGBY+/mEtnBgBMbQyKYWBhpmJ67r0WcP5n5saNtCaSXsp4VJBaTokyOwLMJtu1pdEismIzFA8Oz+kdAHQjTM/Idaj9EPQ6cXOOWfU5VxITI4EB6139D0bgT0SJFSAtLBBOJoZMb061LiIg87KR+jAAbh5KpWLeRNDH/HzTBSVQKg1lwo3YvDkzOJl8NM5hPrIg2xoTYjd6m+HukZMYsDCsRG34fjppPYkoDhJgLyneCeCGbQfNNwpT/DtC8NHZ8l893znNRdAKe3/Ts/YSAcl+nMB4MXsvM3hgEjOf4iwtd66tRFOZV68Pti2C+xtus0ehmp3ECyhC4y+ezAVLNZ5dqSFQNiSGPxs80X34KsJgWUcdqgiMcMtxsTTNYRPhNGab2kj5hhGSQOM9p1rX/AN2v+LV/7Y/u+P/137n174I0F/W0EOf/6b9/+a/Xtf/W/trx17zMs6PZ2c/hMYZhFUXDBnkVbjJZgAk4eIMuP59JESe/EN0GZqrWrIJ5LJVPae03MOe2u3ZVfXWahMoIkBTiIEKm8C3LX+uteaU68PxjqV0gSIniMEV/rbpxCI8HLkDeMu9JOuw72AkkOZhCe2vPLyKhPeGD7/Eiatb9HLqk8uCBTwfthgjalMGN4CLz/brtuxxobNoK08XmVLCbx/ulDhSNAWjd/x4ChL6hiP5D2B0N1FS9obIMBD19VmeK5irhno/liFSY16hsmNGHvznHsIUivlOUvjXdSu1+12+nmkgT5AK7VaUS6wafzqPhlreifEoCv1p4Q6Xz+ttCR/zOOl935UIibtnQ+UkSVGljWUyjqIs1SsEpS2eTz4WFUmaS9pXwdT5zJa6V0mruT1W3vbunBMlgrrfFGYY0KrPTC1lRFOanDMNoVAhjEvfc+4Z33hCx2prw9nUF8UcCzWQXvpc583EAzVjWEpyo9vYzfRWo51948vMEmdUOCQUeAmfM0fsh6YoDuhwLtAAa3/uZQq27/qnHD+Y5yfiOyG1siNJypeH7cS+9CJqdF6GQXP7189MTMeNfrJMjM+EtTGvox7DHPMGgo6iw0Yh0OUxyYw9bHeSWO2GtPJNoIDriPBcnQd9nQbNydVUWfIwEXXCtpCwvNwLRg6xKBFeMI/XyignQp7HaqMRA6/H2uTPNaeKp5gs/kd2+htuWbvkcIDpmO9t+nHWlf7FAYNqYS2EIKwBWLeHmfSYM72BeHL8cXGN1iHdt7msjP28cpH7SOlR2iHBJRgvvoq+31eZQ3lKNDI0E5djG78upAq2KOlh+ynKz/h5dWmbzeetC+yTckPms/YVnobU9g9wVJaUu2pGXTbwgfmie1GBlr/KQc4HDJ5/X7rh/anja+44HRlcN2+OXzK1lPb7EPK3ojYX+fLRcuxhvF06aR9eu6T9unZT9oLaysIKhU7Wqy6s54R/vECk7zf+8Cv2f/wwf8wxuw7y8GPygrGZ678hY8btcdDcpL2xWmrSCFPUJIn+23IKCcjJ5amrFrBzFv5iHYNOONCTqw02aKN4DUZMzddQOgcF4xCP6mQQwsgvS4GlJ9dWGd8jQJ1FAqoDFVXgpefkmttDxPSOFFI0dJgFHkO9zSXZj97N1vWUOsMk0W/Mrtnujuq5w0vxpG8caYcpvHL9Q27bfsK63kbdvsc6+uKctIUyrqQzHPia+zcIkHPPQfPhKwV4nMqEmi9nZ6vFos7ZUY5M12y9oG9AddZl3ihnbXTyTvmxlgd7tgOwtm1ypxdx/73/NVd1r3zPtUQGG8WBPP3UTJ2NIbi+9RNVJMxoiLeE7xTghO0AGUES+XjEXJ6LXtvGb1FNLZCCe1hGXqW/mJSKKTGWqQZxQSauryMyjm08CPBUuua8yWNaSZlclUXMj0VoEw5ucayUkzb0VmZo2fxHMz6Y9YUXl7r2CtXm3Z9ZcdyrSaWGRGLsQoO0aW2C9EazCYC5o2CXvOjz8CNMhDXRsMrITSTrEl+g2yT6AkFDjUF9k9VHeqmTJCfUGBCgSFP9L9AwPx09rIVk6/ciAGHPPGT6MyDMwYSLqXRSbnmUmvTRvvtRQ6DfCoXmEqZR+ku0VbpK0mITEwU4DzSE/ghe2BcEJrQlNWGdZ85f7b7oscfTy/bXDp4knRc9YUWU+T1BmZM8W6KGOviPrZLZ/FZqiNub+JcEADi3oVRwBQjJ22lC5tR4KS8TBmjkDrCnYvlzJL9TOVjQXOgSpKguJ3ejv2w9TxmfphAJknatiOflsoIehLfZO2jyDgqmdDUT0nkNcxqr3VXPF/40ey3PDzmbIgzG28LBZKiCQYBqOKktZK2Tmc57hAyMqc92zlPIQlF9BVmb/LsKI2wkHGNpfarUeDeBXwuBU/01B6NKpfR3ovQrIOA88fbX9ijOYyRtjHA7Q3jAgENoeNM/mRCQ7Ovbr9sv376J+wPXv26atgfEFL++Uf+th0pzti15tb+tLE7lRWML68+H7SX4DGigdOOO3BVGGkrdUP7JXjm6FNpGF3LrXhCgQkFCXdhy5kwEcFGjaM8M5jOigpimP0s8Ennap/XEJI6wcfpnQiWXkJ178vFTYJjpLPDFswkXs/T6hbeWdmS5MzRPYc3//vGtH16uonpYco+t4l5bAScwL/RybMk+N4oPcaVem32z9y1U3N9my3JEy/4OEpBW5miP4WfKB7HRiyrdiq7dKzReVEa79Mt5F9ZPvj+rTwCyhdDg+d+mzXIHzndsR+sopF9C22JZQ/TuZPJ2bWpBZtpriJY1e3UUgXtHWNKtKUhesfo9al3WaAPsckklN5RyqN4vZ8UZMURx4nkfs/hmfR0jgf6imc8k1hiKMsbhXq3ticcjjLhlEgm39xn9S48oLHWO0G1V0rThlX9CL84Jl1AdljCw2yOJs9iGS3v5fIeu93ALD23ZXejwWziGEj5NzGf3cHD+WELMolV9zQxkS2WwncotkFjX+8b76sbdIKe9Tb0qE6H72YsNzlPKHCzUWAywm+2Hp2055anQJ8P3MuDPSbVGQNnDgJp/JvHBzD8ITQiWGZgJrQJ+k6d9Xyc976L5CJvVoyLmGmuA6fER5V7MT6B8SBadXBIwNNayRh6XGtm3J2cUPyF9sv2Qu+stVKs6UwXfPNtzY6rTsESGDH0bnLFV1yMlkxx9dF2hsrzkE8VeOYgjGmbh5Eg4aiM4aa8Cg43tCkyZ2GtaGByHKZndAAuPKj+vbqSHMCpYhr2YPFetk5hexdMSt9XutseLqPZLD3I8YCn3Vu40+4onBnRU6UTCEKFA1ygt8zTxHjoeiE9a/fl70Iw6ttMbpp6qqP6Y9kQEVsgoEGwFO1fbJy1c50L3r9IBzia4UAakGCpOrWViLSc/vJX/YGqodUIFcFkjowwUH3W0fU7CJrSZgpHcPL+QKzM4y4ohdCgfupgOvxC+6zt4vRD4YubL9vPHHvYvrDyQ78/+PPc9gX71toLB6P33ausYPz51jmPd1qpAaMQxumIJiHXKFUMrExVtYWCtzsZN3n2FgiOTKALuWMfqKCvIfZOkggY6lLZkRlsAl0p2tYnbCuivAkcznEMRnwlgHrfOv2BSmZvBj8qt9Po+HYky/NlNKf7F0n+6U7JPrddtJ3QW+R+g+AASRPANwn0mOXRtpdxHKX1ldq/T0KP6BWc9DBgoIGe1w5HGwFBk05dTHa1HlhHV+OAQ/QqlOatWFlmfNEfSWd8sIwEciBc62bRhDNJhEngzRxajIvz5UXWOpsLmA3W+4ouGisS/uJ6XZFKAmFCMs56d/L+5dD+lHqfhXEyRi0ya79XTZAJjpztOHABIbO/ZxMYGrN+SEBNSK511QXeV7rd6wUKRySI1/pOPeOj8Utcl+e7yATCXL7qz46PFx8z9Cdm87Jo0TOVSb4TGhdZtJ1afytvyCdwoiV4xxub9kR6zT5VqdmZNJMae0hQy+EJ2j5EQVuUjAdNmtB0f97H43UtgbOFxrNUJsMB4f1g3sn9hAKHnQITzeVh78EJ/hMKHKCARKEmrL+YlagEDELbGAchriU5wkb1aXfqs7LVduHy6DyeAhE6FdxjIIyEmAMPzlTsMUUeS5pvHM+N1jqKmY7BtTvcxPPp/Al7OXXB95GERbIZhKfoSMe1h+Attlv1uUDJWZ4Si2idFNQWMcLCX7W4Wd4Yq+TMFmkxiA7KqfMoLUmXhsuFWBj/cB2yUMWI+4rCs0cl8YoTfnPsAfl4+YNeVVGu+pNKVftMquptC3WzFhGBTyFgpvbpRj9ogxHeJM1lWHc3jUfGU9njrE86y7qlslWzU87sBdixBrPt/g6ebPHsyXpVBe8f4F3uXXNPsBnWPPnWiFThAo/qgvsppdEcjAkr85kZNJ23BSqpfPaavVB72RlTMUQDzGNVVLipLRoWGhO6DvVCMy7kbfZHrRfhmzJ2qbFi92JS/JX1lz3Pvh/Gxz945v+x//qRX90XffDmKztXHMZltECqSdpJUUljZI8K46USfMajuA6CpEPwFPWdmF8x0AoyO4wCoeJj37o2mHTVJ0F/XxBBwEp4aOsH9+RJnGMgPBNBXnlCUBp4K48PXQlilOb+2kbT16ctxW0skniVkzfSt7RpXlKLn4D544Ja3UXbzJyBre5kbXmGtlGP46MGUVwCjtbertdzttUKTr5kMiueWJ6Vw1lm1OzVOY9pNc+RtjPa3NXeogMmVzBN5+/7zT1h+UKH9ZaMv397qWn/cifsCfnj8DzMabtMNl0qzNn8zqqdu7xjd52sWhErgNg1InNKgqHO0F6Cur83lYEj6QZSw5iK7y5pxiRYhnejhFHW+yo3/+r10TgNUd6vXmly30K41PPpmYlTv98wKB48HCZlprMVHPhUwFOCMjWOCUd6vuKaUcEah7iLxnJ+pmDzVfbJBO8LK3W7ttllWcLA3l9u2vmdnOFj94YovJcjRR5pLZusI+1h/qsJmhj0aaJbmNSKMeGsrUeUK4dZ7SRMKHCzU2AiXN7sPTxp3y1HgTm2mXi4cBEHMS/5lhb3p+63AeaVWb52BZlCwjSIQRFDICYlz3FiKWXrWylbwxlDHcc+0mKK98n6OivpOsRmiBcRYzEmWFK2jaOHhL9xZsXzkE+ww3ohL+jlv73zpHVY26X1O9qqQ2v+ZKKoGXzXXvLdjQJlPHtBqtdsfpG1bIIfBSl5pY3OfwJbs4en51FhfcsVzTle6koipyJA000lpdEKQivREX+YqRBCYc3Q56GdgtdE4ZKNMcqiB4JwDKHalN2WP23aHORS5ypJiVbA6wcPz8RZmku0Q6+mXrNX2PvziakP2Xd6T7u31iOphdBmygQhRVAG9jzaQml/qzbtJorP0ed48JG8OhJi1MCwZ+iDDkttS5BXQ50mOnsg793p29lS5DTeH5v2zfp33ftrHw+w8hKbQrIcJoKlRgHZAygaofmEFluSJJBstoJdXDeakkaKxLMa/SahsR5gKJvqAbALZ9Iki4NTAG+ZNEvLowkK9bnqj+PV8yQ/XqO3fa9u5Y1aGmnvdQCUI0BQLRK03OET1yHImyzaHzXe4SFk+bgkt4oSpA2XAC5N8qi2JL/K6c/nX0iUMLY8VyZ/aJODAO5/tFCzP9iosMeg2V+dadoX0GJqZDUGSdu9pvgzqiVG/JhzynbzZbtSxlvQzhq4aosWJjaoU89Sn4mOXZjm9UbBVvH+2uIZXShquyC85IJrirPmQrSF0RZrVbcYJ8cW2f6lXEAD28HrbRuvvCX7YKlt62grz+NxWEFiUANTyCrb7WjMqz9v1uATfLIPhaZtnptLKzU7Ol/xSQRph9VbGlMatxpC4UeRN6CIx4UETYCNgsaTCjgAXYYx62T1h2WUc3TR6rEkQY54yOTvgThgPQewBFIAElhDnntpOqcQLMO4HYEaXWiMS2M6HrSmXXM32ld2p7Frp49WGR95xnkfD801W9tq2hG2GPobs9v2hztVLB4OSGLjwN6j16JfAfPvuIYymhLLEkjk4LU0CqKdhMs38jI7yji5mFDgJqHARLi8STpy0owJBSIFfrZyDc0EAhAfbM2IPz98wdI9BERmUyXkSKsym5pjzzJMZ51BwUlDCccsMLcNvEe2UGnIe2y5gBkXwpQz0QDXxzQIllpz0vMtTcSLiCNJwPidMzf8aF8wlXVexVPMPoDJ6LdxCCORJgOj9P4Cgi/CZYTrbDdlvM4EqIs/DpSaxJFzLX5Knmw12y+hQri5hmqMY431Rvx19nWJOjsXJdRDC4Se9m4rFdnjMBFcJHR4taosCdK+qj4XzgVFNBE8DsVHzYHXnaTFskuZebtsV137JiHNFzglzFyQbegbAABAAElEQVSsQnAGmKJKPSjBTuf13AZCIYIA0aOwh5I91XzW7s7cZjP5WetkMYEjSFj3pvkPa+HSFQS/pgukGK/RRgFIgKhy5UvyipYSosulin08/bhd7Vyzrf6uXepdYUyBH+1spdG2ZSrQXW1X0YSOsSHCIQqAQugdhgjD+yupQqDUNzJ59e116Addd+R3F9w8m/CJ7RqrO5It6CxDk8WwayJDTKEz/q7Fjjnjeaxy1UB+xWhsipZ+R1bPTb06K96fGa69dEIj0UoCq8wJ20hp0vLHdo6h6pcSKms8u/MIZL8yX7cV9q39yk4R779jQsa+QgG3fVE3uBmA41Zx2sduZnfDzR6rJcY7L4nVWs42WjmcbRVttTpntVzRXoFGKYTJU/2OnZju4mSoZ0sZdlJl25b17Za9dr3G9i7hXaF9OxXU5jPZjl1AwIyP5ecx8f335+pWwdS2xnYwN3NYo9+mEKZvm83xXh3YhWt4WcWT7ny1hBYv6ScfKD5qElLEcTVOGVEyCKTBYiCk+aQcz5hr3TUeQ7YwLsfgytOs18B41KSHOkPjUmH0iHhhAVAc/ehXmlxkD9bcjN8ri2dTWszgl8LZp7yEpudpNFu8n9muCHNqfW/OXdkBlibxBgjZZZthL1A9a3qOP1XYss/U523A/WELcsqDdTnrL1mPqjlG2iAS99zhz157fI4SmmnCdhImFLgVKDARLm+FXp608ZaigFzE91jPmEKDJR4AEQ9+IrDT57qvct9HO3W3u5MXd6FPoJiNAtqYaqWD5hLtJVs3LM/DFCbcRMgTNJZiSLqy+1E5Ducz+AkMBmdlSMKIiUngvNpat8yUXjtDuzOLoCvBMsnvLAr5XMCC6RgPAUsJlJh18QEXc6791eRQRNcRRjCBHFXuzLPuVL1Xk+AxDnt0TQbB0xpKBd+G5XVtCdqdFPnE6Lk5G9di8MQoeUjKSOgMlaq1ZleHOO2hT1i96tEDGHnP4rSjrxDUpNFRuQGz3PDy7A6Ssdfa7CPJnpMfzD/kAr1TVwA9kJf8L/ZetcIgz5blDftQ5REEkpq91D436r9N2/ItSlb7GzaFoHlf8W4vHWCJ8kI19puYT2KAm2dq/lT2JHsgdmy6W7HnOy97O5V/Ol22M+zT6f0laA7Elaa6e9PgQpZmPN5GUBUxhL4OMcJdAuYQzanGFK0JY1NtEpH9LpbUObZVgngwV9R6sWxkcCmnvyH49RxeUpZ4Cd4OMcLmHLTuCUzq877nHIXGgMIY9mRV7i7CpegQNKZJHWOnGfab1BHxPcLeQT+Dk5/PrrJ5/fheexE0Z697DMYbXWr7jM0SJukIKPXmjs3WW8xH5a2O+epGpWrbhSlr4aAmhiHC98VMwV5rFRhDffvlqQ2sIcxOHJmy3XpYNzo3LYE/WESo3D2lDmv1zD5fC9r9DrQqsi3JfQio3zvE21JEmvy4s5z7NBmTbcyubz82zXr2Dtt0tO2VK9uYEGdZX5vnnSthDygaDIyD2I0ON46vpJJoMRHzRfNYjR8dChqrmgATOH+eiZdmUeNTLx1GeHjPKLPge42ql/IJnExitllh25EiVhEeHH6CXVJXSEhA+EnvQGkrBy5MD3hnyZnRImax17c6CNR4k11Ae6s2U58mVTBeYTusFpNjDXtpgHZUKB2yUIBeWjogD7JlTGX1DpH2fzxIu6ltTPbeseOpk+sJBW4+CkyEy5uvTyctuoUpUEhhxgQD+P3uD2AeYG7ZfEw8hNiKGDK4lBXTG1kL/54744GHPxyKrG238e7XtRYmmoVoqke68yL+I0j72CC/95iE8RCzIya8I26D6zb8/i4b3A2b81Zlk/fdxQu2UMbUk2nebzefxASz4ULLXGrGHsq/z5mdiJcYn9FHGVju6IIaJURIsPRA5WKidBTye+u81PLgMXbPVDW2OxRUjhBUhwTWFNqvqLGVNlPaMAmO1ekZp4EYNc3Gt6L5K3V720Ub8IvwRkI2ie4QSdomuKd/a+qTVBgEyT/Z/EJSeWAQBUdynQOBYRkw859By7HCnpWZEr5ZcU4jD5LCRzTugYf+0N+ypcQR+0Tpcfuz2lfd/LmMEBnStDdlEylqgFfaVZSh62iTLttj5Q9YqSfmEYyFtDfC2Uw3/ZUGV2bRQ9qrvjxhx7wmOe5R5jp7cz6PcyY5MKqkSo4PCaMwErZHMfsvfvuZP9wfcYO7CCMwysrgSHIK5sfy/hqD8khIG4hD5T+SMfaDmhjHkWRIpjU8n2+9AjwXEKNwKaDSYPopqZM73QfgMS7AFNyQRjJ06yZjI5gxktcB+U+E4HA0SaOy0aTOE9/k5+kGWlqfpNDEUQwRH53jdUx747MEzA00mDt5tmpp1/Agu2PXZhdsF21lQPr1ZUXeXRbz/iue5V+aDXuDFlgvOl9Nnjto6QJPUvR0rsOYH9q/rlUYl3o+0PKg7knxSB5GYeL1FLlxjGi7nSsjUK5gNlxxU+FF6LSyybpD1tnKZHRpJm8L1aDFuzGUEKse1Tvb6Qp9FWIv+5hOxl9e73Vdc2j7EfWhj0vufR1wLMW9IER4sgjR+NdkluIkWMrc/nUhqXs8XpNs/r5MIgvsMbxZb9uZZRYMFHMImEW+K0wueJXh/SI0QNXfdWUmsB5Nbdmjtu3a/n/WOHaoxoXGcJGtd6S9bOOsSs5+/HnWw0kb2widauv4usxx+k2uJxS4GSkwES5vxl6dtOmWpcBRZoD1ER+4hCIyBGEHtiSyGZZjs3Np58RsKLMzLggrustj5lOEwdh1D5ZNmB9MuNBYKCiftCKRqfHI0Q95gKc01xxxoWt9bHf4uDaZuY0mo7lO2RabOPXJnoPBRzBCSNT+irPpadaKSrAUDH4FUsIT5rX6WIthUpqC6hit5wxRo19tGSGTRG1FIRiB2YrJasuYIKDbJCakBCHVtwAQI6X/hKHa2YX5IW8b88si3lalOVAG39NQV+TbgxzoTrTjspXaxST5DPtQPuxtEBwxJZ+qfByX/Ft2tnHeNgbb3l5PEyTa6/DUaI6v1r/NXpiPoQHAWROZFnILtjxYtMuYrQqfHKbQn9/9MtoGBD2vReV0FUSQNBW6sAMsraH8Bma3j5UftRR7EE75utHI+MEkwZi62am4oiQUWEdV6uPoKRUcisgxyD2FO20K81hVF0xkhazZyfIRu1C/avfM3mYvbZ33uNf90Ic/LqisYJwoLTndx37eoBhaA/p8gPZy1H5yip7jwTF0fEOsvCO7Wazaqr52uuuEww6tJ45hDJBg+K3yJvk9G9fabF4wFDRih6K7EyjGKIEY6pIHVpV/K8Llxa2MfR2TWBTIODrq2iemmDAgfK9WsEtoN4NBNKC9gZ70Fn+YVOF52UCLuVOcwuphr89/HACZ6H5pt2hPVNoIjWGMOf0o5CiIlsn1LE5hPpZlP83pMBk0TQ5NfdTGJr08803208iVWKKQsbObffteZs5N239+ASdKBeLrdddk7jT6aDFx5MWaxAIeVj0wfDSCEhImk1179yH+QEczjvR8690X133Hd3yP511WH3oXaKLR32kCQiUSLP2ea01eSVtZTAXrjYPd4b2ssZskHBQshfB0KYPgzBIL1uNqH1ntO6zlBgqxnOoLwjJ1JtexsT9fWrOvtud8AiOp5lCctA2otJea74SMTFTSRjDv8A2cmmw9cij6cILku0eBzKf/zu/87rsHbgJpQoEJBf7/pMCHS5hcwaBcHlyCbxCHIlYCZsAZD12nrdIr2XE7OtLISTskYS1ow3DWgaaugaqxhvZSmhWchAJBeYIgKGFwXxBsIsQ46BBzLeZem2ivbA9csBzgYTKYfeLEB+bj1PycncwdtcX0PMxFGsGyanfmzsDkCxITvsKbIzpGkdt9zY6LWdLaRhf+PGf4CW0N16rbmaXkrBn5uC5TjFcwpyRvqIqT6BRuxeh7gOFRW3Y7u3ald922utt4umy5IHUBZzvzMIpaUxpppzJBqIahkIeUsSCY2lKkzBo2haSGcCatwN+x7BGc/VyGytRKnGvRhIsOgkwNpUnQXpIKP0JjeLl7xa72V8kiQWVgO6yLLFBH6I2EkaN4G4+yivMtUxBCM4wBCe991s1e6l61reEuXmebVkW497GiCkBD/ez9MCZgap1laZi3lcG6a8iP5ZatJC+54OCYJucX2Grkz1aesf/to79p//r6c7beeuP9LFXdwSDB8nOf+C377af+wO7Mz9mnj3wg0EL0SA7V5xp43Sskdat/hY08v+4Pwew5jmPl1wRBk7G+hZfTUkHr4YK2JqwBDhMNAQYQqUYwg9afe8aStzvWT8YR7H0Vh7GkvI4jZ9F/qyYzyQ5Mfx+GPIdjomBlsK9ocvPMtZx9FcFyatbsMYS5h3GWk7SarXxYA9xsoA2ree7bl2dsDZPlqLG9Ebw3itNazLcT1llXV2fd5W15BBc9MP7UBAjhGYQm3OYxhV0q8C5JwFdz7O1J2Q2Omzn0ECwLCHWVTgvhsWht3s3PNPO23stZGu3wnbOMUR8LPashjGn7jjz728oDscaxTLZ9naT3iwgc3m2ird85zTWseGcwNnXWu06HQguHWo1+g3dx2501ZeQpVjD48zKSgoCl6wxmvFP5CmbLBb+PI0FpMej962M8ge/bqsTE5Mxj4UF7W2odrryOH3yPyLO4sgkPbTM1PnaGjKeVNib+eDQ+VAE6qU3u4McnZLU1DGMf83WtzZyECQVuJQocsqf3VuqaSVsnFHj7FPhOc8HuKNbsjszt9urgAlxHgCE2m0+8Cy0ubLlZJdoOplnHGQQxKIszQQi6vtm2DZhfCYnHF4rMPievCzE0Y99KXXpUwugoDfBoP9kfj7KpXN/qxTUrNRYdmSPTJau62R3MOszOydxxjxfQEVgunMHXBzs5IrM6LtxGk1WVEzPmjFgCTUyQgoxGJQgoRPhivlwY9NjwI/NZTxczJW6H/8awgQB33c1vJZiv9tasi+mxB2UmT8ABT4AIB2K+cpT3mgPHhJluYNZURm1RO3ytaMKgBcYOJgymsoMzH+1DKdAS9IKzjsAwslzKhcFXOhd9GxLth/kTxQ/bk81nrMXfuGCpuoRcpJ2EVvW/tFpCa4DGDDbR6bI72LEamtWVzhqOWqbsgcJ9oTi/UYh3gQ3cJVwdLx6z5+ov2S7rOmuDms3ZTMhPeqTfP3zff2CPfvM/d+FQQuI1zC0/c/Fb9u3Nc3a1tfs6baaEyWOYZz42d6f94unH7Wix6mW/svqiffdDv+PtSDjQEW4+XqjzYFCMzHhfF0jwNWlJv3g+eXTtMxlCXGIBHopxH8wKvYupP0QjBzij7Bqi8QpEU9Zn6nnSmAisfyjLbbjgJDiqaxvB8tpmBw1T0Fxe32z6+jSZTx8Mz+7m7NsDHG4hWH5qusFa1zCux/Plx/Y9uC3fsftmGvZyK2tPsz4yma8Zz/6uXr/SydpPCSJti0+wyDVkrKit2stQ4y/N9b6AqtXHY0LbfWk30Y3Wrh6r1e3+Qh0T8r79X3gAxjgdT7ppOz/M2Z0IWvcebbgH1Ys4/ZnBIdJx1rFq65JROEA7dzqWxMWxqbyisNaKa/ztdmtuoSDnYVkER8WpP/THRdgKhfdVBm2/hL9Ktuz79QbNN3kcsN6/AQvB1jvJA+XlkMrfTyFm3+90OcPSir7vm1zMpXnGev5+FrBo/aJJFb2f5HDIx05SUY1lGytMYB3GkEOIVHO0nyXDnzbzLtpbtnwYmzTBeUKBd0SBiXD5jsg2KTShwHuTAjt4iP39jSoeGdMYb3ZxInPNmQkXMhIuUwxGl/V88gqbwzFHKxFyNFuuoNORuSLmsGm7vtlyE9lXEUa0EbY8QQqW+JPIZ6iMb2OQ2OOJwZSjklpLTDBMTnHVsqztS6GlUPlZ1mbtOTAJwpZgeBDzwSFmxxmRxMwrMiRJpnASDmKWxCiRXwKQrg+GEAdMBMzx9PFrLyNYql83nDvM+i/g4XUpvWNXoCOug2wXLYDgfK/5tH2o9H4ng35kbiZ4wkMoCP/IeAkjOf5xB0EJfhFL1eVlOH+88lH7hn3X15QGc7ZAYkA5zJ3Brv2g9Rw7mObY/qRkHyl+wOv8yfJH6emOPUWaNjvXtiPTGQmJ99j3Wj9k6wpMpVWhSOqtg0WkbwdsOZNBuBLeQySAJh5g6/26XW+s2UOYJx/JLlAoCAZicyVQRdnn56Z+yr7S+Ja91HrVZtkncxqhdBSop4SN2JNP/Ff29174J3bHZ3/TPnH0IfulEx+xv3vkfntg9pSdKh5FK6PWgxoS28XmNXtuiy1YatftP3v6/7SvXHvGfv344wiWf9+KxbDp+wi+XwQHVPviEtruiztwo71SRQptnSCGV0G0VlzER/2h/o/9pzwBU7S/iSm0CCq6aaLGxxHXHRy3jELERWcOwffAxU6d53KDjWmYeJmZYqsP1qht77ZZ69xyT5oxawtz5av9rH0XAXG51LPH05uWQZDrw6wHLVXMKXP2PUFEVc7j+OexqT5eZbP2Wncvba/Eu3f18wi8gT4iW7zau9YkT5jUCFTQr3KdRKN3Xs7HRqXfPZzeS5C07cs2yxA6zY5990rVhjh+VpCWeAMt3UaxaGc38vZxtuY4UW7YynrNLlzFjB4nQIUxAVN082eVc3TaFIZqeK8prdvrIFTWrd7bQQOJ52vGp5OXNO8DymbQCKqf0smY0buqTN48zpy89/RDZeN9SYynKU6HTOS9NzW2NeDGg2BzVIsZ20Ebq22t0oyB6CEZAA6rhzcffwUkJtWxviYibD+quMfhHoJrfWK15rLH97VRxxnXjJy3OVUPAfYTFCcUePcoMBEu3z1aTiBNKPCeoECHL9yf4PL/gfwdmKKl7Hr/MnhJWzaw+u68NREa1jszbI6etrumtu1oOjjlEHMspkCMq9bezE4jZaKNWa9paxLtT9Zkn7KhzWE6KC2PeIrAjISPp2bT5alQkdt4m+0gYJYxi9rKsW1Fc5HZc7wFsuG6TL8oLu5lj17OpCgugZmkwDY5UyTcoxbNt3AAH7HsEiijhpLbEHROQEfGZ1SV0vwQU6Ts/qMLvxrDyOP0U0VwugbAPgXEq8nstQ9dasM6QhXbuRCkBRXzJHzamMCN78epfUC9fv0kiCRyuJf1OvkRJk9UPmyrrVW7jhZRQs/qcGOUx5l0yp/AnHg6FfadE7wsR8aK9tHSo27CKxNbCT0K7UFcMyhnRTg7cg2G0KBC2tGjz9VvLphrewSuZbL5TPsFe8DuZv0Va2F7Ve+vNGOC0UHe0I5Hyg+hGfsReyGuW6VQDiQHrtom+GUEzH/0yN+y30OL+fm179sXrj9r//D5P8IJ0dCuNVcdv/izXAxa7U/N3mW/vvBB+z/u+o/RlAeNb+xD5RWNNEaDZ9gozCs2aZNfvcGPxliSpPZ6m4mQp0cPOgl/DjmGisH7J7khCRisafN1lWN1+mASXciY1BPKeYSXFl13MDW/jsZSe0TKQuAkGqqNnZZdWmWbEbSXs2zRoDXP13bS9vX1ojWqKfvJct1K9R27QLomNuSBc2Yq71sFSbul/pDmUniLVvV2olmn1tvY8/Y1RsdfVijQDg0bH09UEs/j9YnOGrvCzfsyoc89i1375npYizee/2a83mbt5XajbvNHenYRk9iDYZNtWT7bQLhkC5gzM6xT3N6xc5d3GB8V1i2yJ3EyrlTOt2NiHPj4UoIPyrBueLu9yyQWa8J5bmUqL0dfzHvxPtLzmeQVDPrM35+8J+S8R+u1HZ5+KRcGsmojeOXxMnwfBECPi/rTJ/6S+5BLz6gxToP2covvx+Js3jWUWVVMHefrFbY4Stsckyb3Fptedxi/Zt9YwxICLf1hDiW8xtawUtdznud7nMzrHuYmTXCfUOBtUWAiXL4tck0yTyhwOCiw3s/Z1+tZO9N/n23X5ywDv9kps4l5dwHmHsZD/A3HFuZ2j9iGnbIdZxRG67QShnFmuoCQkLdVXMlvsC7t2kbLhcalWRzIIGGKV5AAGNdqiUFo4cBgF+FS2smtwiU4EDRlaC0LxTSmXjDuEmjIJyExMDRkcQZGjEcIzqQqjkMmpB2ZGxJG+Z21CXlVKphBBuZV2iVppQIjC2z+AuMiBgxjUA7dHzSdjLCzCFjyGhuDDEil6YNrcw2k71FJ264PV20+h5MOQh8NxHiQoClnFwqBqQ6pive6kzRvpxqgAxBiwmdSVV+f+WL7FQTAEKelUiglHeb59kWn+xr7X57KnbCF7KzD5MdO5I95RcLG6/WzomIlBuySzRVm7LXhZetIa02SnCaJ+cxIUxLkUnu+d87yaL6kmbx7eLsVGTeirQRMraOaxiWLtKMqHyYV9hhep72qJcgb5F8/8bgfut+tN+zSWss1eMvM7E/BiAXG11wjojwKDoM2yWw7UletiILz3mjw7J7f6Rlu/TficTB+LIubBkto28RUdQpBb54xL0FQOI0zhXlffExsGPQjnLwzQm2BFgkD7RkcceBIsERjKVNzWQ0soL0/vjjlmqk5PDRrzedOo21X1+t2ennanm0XbH0qY3+lBIe6s21Xt1quAdKI0r6SMqvN0VfSbFXQEGnyRc+bNCavXtmwk4us8WWf2vunOuQZ2tdYr9km/S8jPNnEZFeyOOPz7nzLjhW4cRqE2vSca8LKNcGMb51llq7nI4f5YIf+v9lDRoIebX+E9bILPHLPtfJ2DYdIB8Nllh6s9qs2WynaPd01O48G8+gCnngZI+o+jf/RwOPZ0Lj2sY2QKIc9muTSuBWNtca9whrpLmbUXm6sqCDl0GBWs1gcAMOfYcroXe4hdglpcW9fPUuC60mql4z+3lZdKhTPXMrZWh5P5VXMY+UVt8rWKwXWHj55OWubbMHySoMlBKy+YMcs2+Qdc3+6ZTMIms9eZ63wTKxcQA9nkPmwHOFpjmpYgDqi8SRMKHALUWDi0OcW6uxJU28tCujDv8Um3i2c5TSz06zKq9pAQk0iPIgaffJcw8TyOIJfobc3gyxtg5gWMYVZhEgxBwoNtCJyPCEnKCU0LFpjIm6nxdoxMbY9tJVioLVZ9hSMxWruAsl4IGzPYHaVsTntcZl8ZyVIaf1kXH+os5hkMfpaO6n6ZU4aBUvVHz/REtKcIeInOllRukI+J0+uwhdmiDoUBEvMkYSjwD7tMWZajxnMDKkXHKUVEx6qY32wYS91zzujJlwUXNMF49DAwU8JBznylupr8KjDWa5AEnfG4fV6Kf3IXBhPpggaaqsYQcEUPqpfodvp2FUcCEkAlkmuHO7IZBX53HKsyRSMpBb3CLwKfku5RctL8yAYtFEh0ul4dtnOdc4HbSLtzOMUSMLlQ8X7bNfq7GsITmg6hKcQcQ0TF9Ep0QDGtJlqIUivs26SLRWAJ6Fc+dnQxio4jilrGxKKOwzRQLAcXsDFERJOxClGGvLtOhMGbLMyjQt/eFDi+QN39XsQCAPD6vVIY0q8hEodDl9AVZfObxACnNcnjsqTJDSLICCvrbUmZs9oFjVpUshDSzVDeQSCjEGwDtfqvxDtqX4df+Q9WONa9YTUlJuWX8MUVpvKS1A4eWTanZ2ojDT6dA006fJc9exKt2Qv8Ez+6iJrWte30Giy/yRj5jhCxomliuMnAbXJfrQybRfeNa6bmNdq/W+btkiwXKiGvSXn2fbj/jLOuRhEqzcQaCLe7+TcB/Ft4G7wntlkq53zaOVuzzYZG4xrCRscmugZTbRQieK0xY/oc3+1jzn3Dba8eCfIvEfLzLPeeLm+ZRdKc/ZUs2o/Pde2OxHAF1D5XsJkWeLgeLgDx0c/O9+xo1VMaelLabQ1cVBBgxmfKJXwdxbnOJ6b7SZjQN7CwzNYYg1lCa1klW1mar1dxhhPLGkKerpm+SbEEaq4cSx87Cbj160yGFcuotJ3HgSHQ/BGeZP8sjCR1rSHMziZxXa6aLd5p35jd85exix9nW1sWFaZwEG45OZct2An+AZ9vV6ywfj+rUm2w3YSLbu8Inq0vaDJM9FrEiYUuIUoMBEub6HOnjT1FqUA37WRRvIGJNBc9Cu9ol1qV+14AU0Ha2Dc4Y0YChhDfRjFRMjzn4RJMchigmUqm2f9l65fvVr3NWPaJFzMhPItVREuUyswlmxh0UR7ChO9wL5u4UOrNY0IWvAq8bPr8cIVgVCOV8SUStiJ6UI9Xmvd0IjBJ1Z/Ynu0/UgU1FxQSjRQ+rYXizisQIuitqkuCWOKV/A2IjRpTZ5m5wND1UNwKtup7HFft9hMI4RJsJIWU2XE8LGP3QymsQIz4rs8MRGQJTUogJwYOmkIx4Ue1av4IFgjXMOUrWISe7Z9wa70McaFvim0vXL2QzacogAXAaucYYYfobPIWi45GToJjkJAtSU1hjZydyZ30q73VhEuei5cqoy8vMq89nT+hK11163l5rOhtBjDAh5gi2wPo21HdLi2kD691L+K4BAEwLgPnlrgJWmL015ETYihPon4iAwyE1PuTTR1Mpuuwnj5/m9JRgkhoU/EkHmTvR2aQPDxISDjgUzj8JUUhZrxs8frJwDX1ShIuCvBuEvADJMnCG1tzLq5l9TsGrZk+xcfN5QM6zUDjiNAXGh8iQbqT+9b2rXDtj5XN+QVFoaeNZanWUsn09fxILPWKCg2GPuzeaiEaaRMZqVJP4ZgeWyh7OugtWWFvNqW8W7bZt1mTxMyUEGTMlq/qXbXWh2EWFbm+j63GjNmSzzX51mzuedndhyDd+GaOvS0/qhTsjPZtpU0KZKAjf3n9xob9INMj4eo459pS3v2LtT/HgMhB0YzCHun62s2XS3Z9eKs1Xl/fK9esLV21h6qdOwjHOfbOSaqAgEkPn4C7WYRraOWHqivpfGUY7XpMs+iJoM0sUZQifAOS9YH867TmmufwGJSqJrDnB06a8Jsu1/DeoRxi1Bf7zZ4ZzHRqPcs41SHxmu4RqOcWJSEdxN9yvtAeW8Y/PnTcxCeQ8HwvLRnG4duNTTTS1gnbCDkvphhA5r4PhwDpjGhSYoXOzgIugkES28anQPZeKfQj7w3J95ixzp8cnlLUGAiXN4S3Txp5IQCb06BDtzMNYTMJWxoS+JEFPhIpqVF1B/XRRjaMqZbbT6a2q6k3pLWRNpHBB0YWTE/YtaLmOJVyzgEGqzY8QzbnrDxu5humQpJKN3CVGobhwcyBywwgy/YUSBRPt3qiL9+mdy5xg9mZ5zhga9CgyMPhsIB5h4GzDWNCSBpnVx7AsMnzZuu/YxWTJWLASvkg4fCIOipTdCA8mr7EutUxahlEezawzbXoAs+u6k6W0EcR2jDzGucASNRrHVsS8Rf93HtaIwTYxbaiTaKbUPOds7DNBKF9kyCZQrBw3OoQq7EqCuiBR7TMGzzmMUuZOecwQuEVL69II+8s3iW3dI+mjCtqk/mciXWZUlTqL+r7JXpQIGrukQv97zrdYa2qMEyCd3sb7uwKqHVmUrg+Vn9prZIeEiCYI2Hla2GM8otBDeNmTnW9cq0U8W0VtNNKCM8nSnsWnRgC+oe5ABV6V5nuHXBSv0gActNAznrOga/Grv3ikmUtrLCWkYJatLCa1zvsJWCtII67+KMJWjnNe54JpKGCe9AMeEhc2EJxwhO0kqTT+arV9dbLlhKIDyFyas0/geDBEMJmNe2MCdkbWyx3cDjJJMBxMksUuszNf7UJo1L5dezWGB8CFc5TZkuFVxAkJAqzXsL64ESGkxpvBSe3czbRRwEDSLyB5F4F+8v4MBrgb03Z8FPeKvnYj/pTn2kQ3EXMdltMYlycwX2NuxhIlxf5z2Ut0fOVOyemZzdXUnZHGbMMxxD1j/PsdbyXhTM2j7qwRkm37hvsF5hwGRGlesCk0qVSon3bc82mWiYQtjUZI5P/iG9hKkarAEkqENAn3xi+qeEE6GsHPcQp+dH2xRlpTFk/GTRYA4ZqzKLVfAhHK+4UX/5e0v9Rn6VkYC7ly95DonfFzwf70yidxAsJVzOTfFNac7Y99I4B3v9sN9X/Ga7EXkkXCrIyc8kTChwK1EgGifcSm2etHVCgQkF3oACu5hXbmDmuJyT5oYFMWIp+D5KKFEQvzFVYi3ncsXXX27W2s4kSuA8voh3QrRjYho1ey7NW2fYZTPsXTyYTru53qXVpvgVmGRgciHmUorAJXw4SDBNjc2S763JZLa+i2MaoSB0BCC59jPRG7sIrJhadvFAuIRDDGnfAttEHVzJVFaM2I1CDubLNQAkKocLJbpO8BMAiTkSpjrZrj3PHpO7bMEhzYSqkUMdufpXYc3cxyAhWMxFPq+9J4VPgO9ntSEJkcl25pu60gg69xTvsue6L2FRnKxrHWVHU4V2Qn9SdkgjuYLmcrW/7ozl3fm72IOzCpDArPv6QPpjBu+xU+kKzp3WwCVtL7XP2QOYxrKrnS3lF2w5f8SdCIlWQq2Np9w8DC6ZHWnR4pHiA97/gRrEkxZwDkKgJ6ow9FC895PDC9t6yGx6bbvtmm6iPfhkAIKFTJARNxJBJKmUHGq2m0DDDEfxQ1p45fA6dFY+p08iUHIfQ8RBUyVOCyVQXt6NVX6vJtZ7goeEv6W5Mnu8dpgE6brgprMmLjYRymSeqENMfxnmX2NWjLdMnd0sGb2gcAnMv7bjCRparbE8wRrLGwmWEVcJgVdmjtpPFDZtA6E0Sz2zOO6R8x7VmTQS2IxzxpUEzCk86R6ZLeJsq+6C8Xy1AmPPnobgtL7TwKJAW60M0XpWrFUE15Za/JcfWpjKfrMxZT+LiewSnmtDT4Y+E/2d9pwVHq7W7Cu9Q+7BxVuy94PS1sqdph3hEfp++f9j781jfbuu+75972++47vDG0mKpCRKpAZqsCxZjG1JGZzYjofELdCkiIM0tZGgQFDAaYMmcRogQPpHBwRN0jRtCqN2XMQdkhSpYTRO6tiOB02RNVKkRIoUhzfeefjN9/bzWfuc3/29x0fykSJp8r2z7/v9zvnts/faa6+zz3nru9faa6+nVn8mfSjtp//hv/5vAvTr5m5SAg3ere25hfRT/+lfTr/+j//XiOD8Yz/5U+lL3342/er//vPpp3/qpwmIM5cefXKfybh+BFor91h1fBuF2pGshdHfTprN8h50nXY52REBfhgTZRrhqTDDfpY3S06MCEjjkbKAJ3zCuFo8M47FyHawxxnvaFz6zXXZxNXdUVplzfDWcCF9pcG9zfMbUrtjkvOWvoZ1jVVMxXC/Y/pfdfTOlkAFLu/s+1/1vpLACyTw6LCNKyiz5LiIujYKlR3FHE1lSi9tYlW7cNoAL4lgP/10lmiALSwVWn7GWF5UjEcAS61mAsw2v1035qx4C4tLm/pGwr/MOrQ99kNr4Tp0CmUklKZQkrRu9IK3Eqj4H7T6kQq9vKhQqUxt7I7TNZQZk+vTWqw1WltWccpgo4WrrAF6bNsZ+zJNzop+SStUJfgU8P324efSOuse39G6DwCpdQ3rEi6iD7cfSp9hKxIcd0PhstwfWvw+rKE4tQWPKNNTNAdEj9VdN5RqCpR859ZKbnKV1c5q+mT7D0T1r808kUGLSJwc11BJtse+jO6pKEL3z1hC11h7qevq5ujzYZU0wu172+8O4loo7PvDgMPfOPidcL3tQmNwTAAb1kw2cZP1UyqJNhL0ydGGHNsZ0M7XB99k+5WHQxbRF2iWAC0a8ou8SfKc/vYZQyYBm9Y/6WMwTe+8wBYmWAt7PVw/sSQPQjm1JP2duhf+Ho+7Xgj6kzahr4W13KfV+xc3gKMis89G+DV/0O+F0h5WeFkUrHJdC03wbF0Y07LeYPJkCRdEk2N2rwvI5ON6zAOApu68AyY7dg+sM52m+j6VvQqwvBvQet2+hVPXy1PF9RMXdBWfS2dXcXsOnuxSnoQJaMC5kZyHIyd1sgVL4Bpr83gOtcCemmdd216XCYJhurZ3kL7rXWeiiYZ7ziJLv9+IxCq/9C83O+lPn8Uls2hTmYecud8RzZTnbI73hoFdSsD1RvD2erehnb3NM/rsLuP7XD09Bqh/O+6mq2fuxgWUZ6LXTT//P//D9Of+4n/C+wyvCr1DGIuHh/vhvi9/XcbZpz/7+fTn/twoLS8usE53mWBO3VgP3MZ9tPzzjpqGMRkYp/l9w6nPiqnB8z1IxTPE7zGTgEPe00aJPUnQKdxz89PgFev7K+fEL2hmqmbn54uz8DrwGbm8M8KFF28J1tc/Pppjm6TJm9Zid0xy8seJ0xEyFWA2bheX3zvmDlYd/U4kUIHL70R6Vd1KArehBNzEOsccRGFAec8pKx4qK6Fm8KX76Vm2FtHiM0cwBoGoFhNTl8Ah9dmH0t1glvsIUHGAq60gwDWaYaGUTqE8X0EpdqZ764D1PvyH7HXd/ZbmCa4D6CyTM+Kb+2OsNTVACYEwaOuAqLRaLcUIAt4BkWovEtFWGkvzAg9cHUUaqEMFrAtynsupOFVwEUpYwY+lBTprsyvhevrpw3+X3t68l3WKWUlXtfooe1wesH/k8+PLEfwm+gKdHHTH9Xs5cI+NeU3ZaA3Q1TS2MtHlloayqg9F+h0AlDxZ2p0lSih8uwWcNjsD8YTgudb2nKSFdUAwngiKhLIYyjmCUGnfwQ3udwC9UnsPEV3XayuhwH5y/uPpS/1HcZHdS1/qPhrRXk/XV9N6ezU9j2ts3L+CL9swYM+DrQc4ttNXsdheG2+mc4UcvK5yGeBMGfozMnMfvFau9dV6tsskgrJoLY7T0ulh2prpEmLqbVR3+5N8TVAf9Shn/0xxi+hXgMqiHfN1D9ZKY51yLJlvCktfPo1vKRmlGBU8+BXkuLZslkkTrZgBMoN7WuO3PJg8FWj6OY9nX4/1xr2+gXRYnwngBK/FGLJc5i+D2unz9VM+I6Dpl0lFk5NS0ijHlYxoeZVvZcpwgVvyOHesrRO92bXQzO2kh+49nR5/diNd2Wa/w24v/fbXnk3vve90+vDycXpiq562nSh6g9IBYPdbrCm8r5FXehpADNYn98tz12aexg3/ym3kN3mqdpze2xmkA/o1YpxfO+qkJ48X0sd/8i+G5IcXn0y/+L/8o/SJH/mJNLN2d+TtI4wf+um/HOcHAMsybQzZsoMJovOAS/em7PJuWmY9rRMyjoVjrf48Aw3c+sOdlWdiht+C1ezeOptWj1tpv7lHxGnyed4WWCse44tyWtkhw3upVAd5NqDt9Xi2AEYUmpTzDpaeHiWPjlOfGN2zfc+dYTz2cAfed9uVkmxZ+A461gGUAyahuGUVuLyD7nvV1Tv6sa9ufyWBSgIvJoGv7c+nR5Z2QzkJNZsvlY3QDKOSuSghaLmCwC7WJ9c4Pk+0v4uEt+8yG3+V9ZtWecfcNco001PbBIjBGPm2Fc0UQRULo/uxuUbHQBQo7ijIR/2sRB/0iJi6VGfNGGsoUVo2AJFGqTXYyk4BVEZo94KQlVME48Htb2MTqxLXr+ywdo31ZiqupgweskKuYh5z6TAX+RzJwkqoe6OfDPzeWb8fpXCDiLu7uJE+GWstdY2NBFmjpL6zdh+gNgcBKml6PVsxtSyVW6JkK5NKmIA3lDbKhUj5Mk8evtJ7NJjbOkb2urbx18BaqpCy26hQ05L5VoRVErAwS6ROrY3NmeZEcVeuM7jcfR1Q+I7mfUR6PR39fQiw+djgibQx3g4X3+Hxfene5t3pscYTrKN1z1Mq+g8C+0cHaRdeFujr+9rvinYD8AQDcGcHTJQt3VVzRvENHZPA55C1gab2IjLmvizPLIdCKtiOQCCAYhXdUFRlnhQS4IbZSli9ivaKVqOsgNjSZZlwT43qwC/KF6QURqbnkcLhumpdlPCQMTRKOpy+IEmrzeRIGxdrE1Upn9vwd/DEVxxtKZ946WXTRKY3lAz5wpScl/IVVDvm3O7BxoJnXKXPnDLgC1uTsPZynu2DPvPos6xt7uG+vheRZN/ztvV0Fq+EbQJzvZHpX+130ruYxXlna4S7ve7tSA2m5TvuCY8b0aaYHXojuXr92vI98AcWemlxzPYvBM+5Z5coy8un0t5gIT3NmtezrL8rdoWlJBG9uY1XmRSbQ0af/me/kNqdufR9gM4yfe7Tv51+7nOfwV17Of3gH/vBtHbubYyFRvo//un/xWRdM/3Yj/zxmBR69vmL6Vd+5VfST//0T8XY+Af/4z9Mf+CRR9K/+fVfj/faD/3wD6b3Pfy+9Mwzz6Rf/OX/jeOz6SMf+Uj64R/6QSY/2B7k6afSP/un/yy97/3vS7/5m/82ra6upB/70R9L77j/Pt7NIzwMiCbOoNbV1iBTNw5wx7CWc99tTr4szY3SCu+kayc4uezSHXOMNdHIw/9SeEH7Ertj+l519M6WwB08p3Rn3/iq95UEXkoCT7DFxvP7a+xv2GMGfieUF5VlZ71DaVYz5MTAOW5/sD+opd/dO58OlrAUongU3lWhQP6fV1dBFOiPKiSku/Z66ZHmFtdCvYygD8tYGVU4jTRrIJLNvVEAyYuARbcvsaQKi0FTBUx9ziWnYXUecNtC39/aYq0ndeUv1sMV+k8EwKG+/62Hsk6BOJa/bXgqLyxmFJY/FSbdD/17svft9NyIwDf6OmXWoUBSMQ7ZzKQPzL0nrWMJlJ5gaFZ3tHAtjiKheI1RuAQLjw1cu3kQYPJ4hCyBjz3+UN2wPFAXIbaJ2ioPI+qY7LuU4s82A2q6xyEyCrQjCDUfjr1OcWBteqL/FMue6hH4pwVPS6y/3Bhvoe8cRYAeo8d+3/xH0//b/zWbibTb3UnLcy9cCzeRYVFOjkxa1oZaOEKTynny7vVd3OV0J621sWB36D+ZHfpWogzLlYDcCraRrS72FBFxs7Umx32SNJlLCzniZbRBfa85KCw/+Qo6rrnFNRqgHwDV6xbI/+KXNCap4Nnf5stLOV4m7XMtD+doLapOysSv/BVUC97KktNtTZ9PVbvpqTLwHnv048RFjNWCX/R6usQEDCDAiMIffuB8+spTl9ka6JDAQr30pScvp/svjNNj6b6b0n89Mx8HaD19CPgYzqX/8Nx+Xs+tcJDtr1/C3fPU7aOK/PHFg3S2zqQSQN+tY56/epD2Ntl7dOmQ+7XAXrJEx70hMVcW2OO5bzzK+sv5PPlFmZ3t7fSvf/lfpI99/yfT41/+Yvrrf+Nn09/5O383jeba6fd+74vp9OnTQcnxsL+/l37+F34h/fn/+M/zXh6n3/iN30hf/epX0yc/Sd3HH0/f+MY309333JN+9q/9l+n8+fPpAw8/nH7pl/5JevTRR9PP/vW/lrqH3fQvf/VX01NPPZW+5+Pfk778pS+n/+Kv/tX09//e32Wd52Ke0NDF3efMD6kc03HGQ+37ucH7scsEoTvhzOtV0uGddIeCKvdErvE54mXs1iSujqhSJYE7QQK3zxv9TrhbVR8rCbxBEjhCeTjATe33ZubTl3fn0h+cu0IEWfauxN1L5T9cUnHX6vGf5m9dvDt1zwJuVm7O3AFurJEKTeRbuIg9ddhJ39/cSIuzI4DOKFwTLaMltMPMfodgKRsAzAODQ2CFLPWZNsBkHmVlMGD9IxaYDu6KuztYKq+gnQnGiFirq+6q0TWhF26E0XjGMbIQIAxl7AQMZMbUdf2E8k6DI5Ql95k06I22sT3C+XcB21oJczpRrQItUecz+18IF9fvX/g4rqQEOOKvRUCfsUF4AOL+DrhF1QfbD6TfOvwsYNV1OXkfuRruaAEqcUN1PZRrPV0fWaJ1wcgRfOH4li2YtKl7ZABK17cCOJqC3+horia2GeOe97X+4+nhmYdi3eh9zXvYm3A77Qpu7TWFtHqeaq/gZjdODzUfIILlElt00AeFf9NU5NsAKb4Bq2USlLsGN69XzOC4tQBAhHMn8QdHbnuDtgUZ2ygD7rjVi/ct2uWo3MrtF+TT/DZ83ZjCvZbrJYC0nC6v8qV1UktwJPI8C/peo45cx13l3PKlS67npTuq48J65pmsV9Lw+JJAUbqUkf+o77H4BC2+Cu5kLMqZ7/kkf/rMfABkKiYdpmnmOkeMA4LIvONsevy5rfTM1d1YL/rVb11MHwRgPrr8ttS/br1dtPa6fukY28fd/X+6tpTeAfj60OIg/ea36una6u2jhnzPXBfrbPZW8P56D+45u5AubeABwJrj1ePNtIL19lpx36YFflcTqz0ZjsN7m+yxy/vWCZUf+9N/Nl347k+k7/3jh+lv/oU/kx792lfTJz551qEUI2JW91gnlorxESOGQeOY/LM/+ZPpU5/4fsYeLuSM3//7l/8fnp1W+tt/62/xnptJH/vYx9LPAlivXLka1eX5r/yV/zxdOHcu/ckf/xPpR3/8x9PnP//v0h/+g5+Cen7XnIxHm8y/8lPGO5kZjjneywd4mMjfw2cO0jfwZvH/kjs1uc/l4b6eK3ih3KlCqPp9x0ng9nmr33G3rupwJYE3RgJj1o386ugsbl6j9EDzMLUAfHu4NX4bN6+9Fm6Y5185H64P/PXRWmoBPt7LWqC7Z7sEl8kARGoGrDiLq+suyug2azG1ejXY3qTT0jKJC9k8uy1CQ8vpwSEKDsByaaEVewG6H1yZphX4CRBAyQplDMVIMGakT62bAkg1IsFJk/VLtaN6+q7Zh7O1kXZ+Y/93uUyjtB+aWHkMlRDVy2z48OfnDr6Y7mmeZ83phXC5jG09WD+qtWmGMm4NsH20G8E9hDZW0/rI9nSxvlJ3Vy2MWhYD7Ap/4E3QoyIXW4pEJ1X5BJpuMSC4JNCL6zqFn7KihsdRMGe/voTb7SLbkHyo/b5oUxKyHYnrWi9NISsJFKmUXZT16+RSlMj5KFA01GcrDN2bD9jGw3WyXX7LR62N5XkugyoB29XRBgB+zATDYvQxg354R+mV11j/idKcFeeSk3xsYrKWZgaBSKC0jMCIeSXAtHTJu+da2XUdDeHwWxe+uC4t++sx8rzP/FRpN59PyFIiJM/9lLQ9lp9c4ibflI9U1C1pyO91Ii34iLKcwwnr4bifRTl5tC331OypxFtw6lrUy1mUG6d3XViK7UieuLgdEXCfvXg1neP+XFlhUqjxQpBe1n+9jo71b+Ie+tRWLY1W+HEbpd1xjUA5TJIV3fLegC+JpD2fzvBsuPaYYL6pQzAd01RM1vQ0e5AOEE6d+q6zXOPk9PpaeucDD6SLFO+059PambPpsSe/lf7IDwAoIe7YcRLHSalwBw+q+avdJkIxFkrHc+xXzLv68a8/ltbXT0fwHYNcnT9/DnfXfrp48WKslVxeXk6nTp2KJQ4d6q+trYX7eKaodwHvKN6V0wPWrsbECXzodWKf9TIZsGQhAg/Z1ZNXciZ1B323mCzd29Pl3xtGx8t31R0kg6qrd54EKnB5593zqseVBF6VBPZYa/OF0RLOlUSFFaDh9vSdpj4IUZpPYSFtA0I+uXhtQtKgLEaQrTXGaYv4NnMEBqppOSUJCI14eEzwIbZ4C4WmS6CVK7gAdgkgsjDXYtsHLU0ASLZFESmos/vbf6bY/kLwQO0RFycRXckJBcpCgBjX5pkMpiEg0OUsiEVu+SUg8pwvdK8Ddqv7+viJdJGtQh6Z+64ob6ALQYHBazb72+lbw2fSLDyqbBstUsWjhauoqyqNsitfRoCtUUBH2pFWQbp/jEVDN7PcXHxT1loA8Foz9dlfrwVoMCcSPNuGEMb239l6e/CjdNyz02S+pUNJjJzoSSiwXMqJkwA45e9JtsQzQFI+m+xdusGm7yrS/q61sOCEOyxBjZChy2Bn2WtPQLzLNjX2qYN1WB7slGt3DcIksL4x2fTkPkDb5MSAVY0MK62Sl7g49aUi7j3PYD0gevCXe5oLuv2OfBgQStfSsZMO8hP1dHFjPPIc2C/p2dY0kJ1qLp8qsxdkFhkyTVLuQcuS/Iu7VlyLAnwJckvLp50VsMd4K8oFJfmJ35mOdaVr9nms+QKerz2zyTpAghFd20hrAyJ7rt2bhp35spk39Ogzd7ul54Z4GuDtvVh2TfnbSfra4Ia1GP8dohFvbZt7jAs9k0ds1fJ0vutZHNTdZxLr2oiRwBhcx7h/QERdoag303dBj+dH8TmZs80yg1Um1m42CZMJOn54Z1HWSoJNB4+TOEciYZJjPvgsK0RezpfPMsUkWfwgz5cK/7zqRNLuwZCPz1dK6+zpWuPdLt0/fKqb/vnBC12BS5q3+1E5N5kkNT7AGO8JJ0WrVEngdpdABS5v9ztc9a+SwGsoAfWJIYDotUwqzZtAVnyq0i8d3pUent1J72q5fUHoQoDLYVpnGaM60bEMkIyI6oy97pJNXGiP+6zJQ2ne5LOxY7TYfayYbcApm45HFVUgTuJftiCqZAkSdD2ro/RJr+XiTROVBCHWUkGvETTnU0vfG5e+NHg01ilad1wiW65k3qgRehxrjZq1tDPcSb+y+2vpntYFAuK8O4DIDODEvSyFczrDxh6Z9G2OrUYgEsDSq5xKNdr0KxRAMgPYwLv8CfbslNZcYE44n2XbgTVO6lrH9HGAbrn9wIfnslXWhsqSWbpRtPgSRNECZbSe2dY03SikgKWfBR38GZyp2T5KraURa8iMqur9opO4FNewyErDNqWmFfcqe3VqhTZT8C4ku9DIJvETnjjjn5MA0Z+izdi+BjoZjktVdk6sipGRM6NVt0ZpERBHS3Mud8KLvwWTAeqRb1i0+R35CCImHWy3SOY79WDbZSrvk0cqTuRy3XV+xL2jjNR8okLN54dH9NHJb36SvLtFgubz1w7D3bjBuGWYEUgF8MLH6MoNFFnXJBtJeZ+gWNY9vdzAXXwehX8mffHJa6yNJcDS9k46T+Tgy2ceSAPWr05PLJRNVcdXJoE9LJfjeEedjJGgUIwDx4vb3bRcIEuaYWx9qMMED2uueQPkPL6blOsDMC9dupg++8Uvpx/9w+vpixt76crlS+kH/sS/TzTo2bS8vJSef+45JmJS2gbcuVbyxpRfl9AuxuJDDz3EWsovhbWy02J/1G8+iZssW+XcfVd67rnnb6x+3W97lKdkHNf+Y3wBJjf2AJXsy9piIK4xzlYW876sIQH6cYZJQWbb7uhksLmDfd6BCGX6XXFHC6Xq/G0tgQpc3ta3t+pcJYG3lgTGKF5fSKfS1/YX08c6m6k93EdpJhCMli7QAP890yGBQ1bOjMbHPvJYF917EHcsNit3PeaQWeIt1mwuYCUwgmEkFCz/dE3N1kgVOlO2aGkV7aPnNdy8UxSDYqRVKra7EATw++p4I9xVz9bWOd/EElcAUKM1qHDxcfuQUKw4rjVWo74g8rCGhaGWA+S02BqgRhCkWRRIXWFbrLGUtwYWTPtqW0ElsxH82AtdNwW7KnklOCGL8tS2O8ilwzYD/XEP0EEbhQW0hV/ag813AZKhErQpnP9xDAIcJFDwHmWUZ95r1DIRGIlj5i2KRh35DnhGHa8JYCJhbWm2BZaAM7SqiDJJlMtJ33Ipfnvd+4qOrRxJawRFkqaU/A6KfGk1nFhP4CWshvLK+TT/ud5JX5SmAX1suwR9KnpBHZkFfekU1wO4lzQ5lgxYxKQLYo0f0hOsDuBfum4HERvXU2bSVtTIX5aJfAiq+HsPI4/LKp3h5EobmbdcJ8uW+44kHAPbB4O0w+c8e2G6f6uuiPtESD4CTJosI5jPkZzxM8BacpW9B1nyh/K/lD74zkZ69NtXcVke8BmmhUtPpO763am/vB6W2iBSfb0qCZTLeqOy44cTh4xBroa8oJy0aJPvNk4mrcgHRFGusWXHcTMPrhbvuTbmfUucOXsu/aN/8PfTNx97ND36la+kvd3ddO+D72WLj6P0kU/+kfS3/+p/lv77/+6/AmieiuA90nR8TSd5CD4YEx/76EfTz/3cz6Wf+ZmfSQ8CNI0u+8lP5kwqFQAAQABJREFUfCKtrKwCLp+brnb9uST5eHDiaJfxt8d4G3HeYY3lvWc7aZ7lCNEvCm11CTCkN4YTH0Mm+Hiv8sq7Y1Od/6e47Xm/S86rVEngdpdA7Y/+pb/xN2/3Tlb9qyRQSeCtJYExytczR3Npi+1MxriaLTV0V1RxOumHSvlOvw2IQhFDGatzbKGgtViXOWDNUp8orlpz5tone7a5XUdY0IJMDhajMibdDCgyUA3QYoMk28mulwQa4s/9L8/U1tg5oZHW2D/Sz3JtKe3o4hkp1xOAvm/uwXRX41w6Vz+T5rFMli6U7he5MdoKIKoF060wsrUMwIkCeo5tQ/aP2RYExoDCASxUVeVFFU8xWK5ca2j2qfpirLvsH+sGbBkBBrFnAavudbk0i3WKipm7YDToRR6ZmXa+7vkw1qNmwMLFqGD+jfWjHnRdI9kHG25hyYhovg3aB1zKi4BLoFtOCuTWqUTj9iUSJ94b6en62zpioZbXZTDKcT8B/kaVzXzIibVPOLpRsbZembSMyqN1vZ9eslsCVicQLOnEQ4O1jP4OKyUFtGRqKTdF3bDgxs/4XYJW+bBOCcLlyvI2UnIYv4OQpaOAXxaJ5PjwNFuccl5RMvJ1/b261YfHWrrnzAKW+RbRlPkstuJ8mS1/5plQWWT7npUlogKj8K8uz/FM1NiXEyvTLlZbrJ2L8y3WXw5wGceqRP/q3f0At8MO7oslM2XzU8c2kzYNkO9I02qVbiqB9zDm24xfJXRy/50UymPI9ZGenz59Jj300HtYg3nMumNkiiVxfnyIFfHutHrPuwiK02OiqJ4++UM/kp759lPpvvvvS3/hL/1MGqzenbZ5zs5fuDv9ke9+ONZLzs/Pp09+6lPpXQ88mB588D0x+eGEzbsfeFdaXFyYTN7Ms83JH/xDfygm1zaIYPvv/cRPpD/1p/6DuOUHh4cRwOtDH/gAzwTvluDzON13333p3LmzgGP3MU7sn9oPi/gigdpOr7TSKuPMd6zLGC7uMXHR67An7lx6dDSXnjxqE6ma51ikfIcPmeGQ9xpLBVo8m1WqJHC7S2Dmv/0m/1tUqZJAJYFKAm9SCdRRkloEJplhM2qWWDIVzieUFdchAh4BBI80vxU4o4QqB8yc7+3VAiS8/fwcIFMdGhoozrq/RmwFjn3WaeruSRNhLZon+IIuppZzL8EyqfRrMXRvQdff8RNdybJ+rAstop9G+7xRf7f3hfSOxr3p/rm3ZdAKIV0xXbMnAHqs90T6Rg+eSdJpY7kUBGb9aya9HxfaOoDzq/2vB7DsE6gnAAe0BciCjABrKHSlzuYawXc1356+1vsmfACwAZlNaDwy/xGAMMGB6C/Vo7zrgDLvKDwF4PJ3dCa4KqyWtJMBW+7nrNYIGywJcWq7XRRh11td2x0B6gVwrLNcwlWO/f4EhFaJdZaUNcmJdPNR92QnBEbsUcokAteX2LKhnU7kL28Ct/n5hdhWJPik/iR5H6Q7nVdetF8kLYxu02FyX1EKhwwM3iRg7dMHwW0TJd/Imrbnb12vSwDpONAt12uZapZTOWFR51oDsFq66oZMKVmwEO3ZvuPF9qMHJ19mTXWtuG6F4sI+APHZKwfp7jPzSSBZ3kOPZd89CqJj/ShV5bXJ3pzyuMH6vCtbPcawz8JxeuryRljPbAKm0933nk9fWnhb/LzxSxv9gzUi92KZ/gbBZ6p0cwk81Bqk725ss+6Z8csg8d7EOOLd4TvIyYsWrqhGeWUgpKee38LbYgSoXE8LuJZustbyGz3WelP3HOsxXYVwacRzx9j4UKeXvrBfS187rKcVPDY+MHeU7iVQlsnIzFqijc5sO8uLgNU2EzFOqPHb5LvO8eC9dkw6VvK1/Hwd814A58KvWz3lclrMj3g2Dw724tl+5mov3F9XY8lBfo/8zrfn03NzzTTUJRvvCB0kqnQiAR61tHfAuwQL7tIpJqC4nVWqJHA7S6D6H+J2vrtV3yoJ3AYSMHgQYSJSullMCBSkPkrakAA2OAnSWzJQhtSLdHHtE03z4mY/lGn0uNDRBVkq9/EJY0J2xVRUp5fraXWxeC1SfoIg0MSkXFoeVfSM2GrSGmd+Z4Y9KeNCSp+c/55Q3IYEiGkDVtTkSqjw/PBS7DvZqbHNR2GiyiBEVzhczJp3Y8lYyOsxsTwOj7H+UX9utsU5AAz+UVfJy+1zEnyMAWgCzk8tfA9bnHwutkz5cOd9qQNwzV0hYiF1PVcG6JHqmNcnQUyZOPeXEVYF1FotNva0Qgq8dO0DWCpoeOki5+39vO/ibJ3Z+aVuas1jEVOBhj9qFGUzcaUpbbs/gLBbhgjXBMPr9XW2Q4EWYKhMJXDyt6ApA3/7XfBb8KocI8psUXFyv/jtNTeLF2TaH62ppewcGI6HCOokLT4q6NKybAZsKOhODihvrntPbkwj1uCGBdoyyCaXkMcbyhZsZ/bLH5nHXJXytjGV5GERq+SF9U64e/vbj/0KIEBZeR3Cw3RNy5i0Rp05NZeWF9rp0rV9rJi99PDbz6WvPn0losgyy5AuPXMxve/trfR463QacEemk7a4Q4DlwoCxA82IrjtdoDoPCXwLYPgRnoEhgcQcT+X9ycPFCapB3CMnOBo8H8tYl5/BzfTSpU3Wic+z3RN7lDqBVqQv7zfTpw95hhkS1wCW7+LOjPDMeJp1lwsAxwszhes65dkumGBBPSYg9uMZXWDNwP1EC26BUH0WBJLZEi/xPC60ovZZdy6f5cex51WfFzJjnFkjPBL4XSNw2Naonj53cSFdZnPL8amp8T11ap0qIWlk4vvSJ3PA89Nhe5IqVRK4nSVQucXezne36lslgTtEApfH88zyH2DUzIAE/UediMAVWSEy+qjAKixGqk1cExeJfZxFdr2la9MwIMRsf6eFliaN/JWVLmSp8hWgR4U92uDL/BvKReNFfqzPozGVu2fHF7FaPplWWHs5RjEsU1Dh677G3bjRng16ghRBprQXZ+exZj7INiILBPPYDVfZEUAzrJdcL9MZgNkc+2uu667LusUltvnwqnxH8pB1ypLFuDZRKqdo6Rarkin/WSE9Dne4baJCHrJOTCva7iHBPA5HgEsDDBGIZGGU5lawVrIfqZFhhYwm3XNtWMCmlTLcTOFJgO6ffTxi/dZwjPqFXOq4xJagqGA3yjQIuOT6zdiag/plv7zr3hI/k47FKR0u+m7bKtLK1WLeDwM5OTkQ/acFk0BNy7Ag1nstf1pyPA/gWIDSXAdAx7Wy3RAvbQhK7aO/pWfZ4yN2ehTNe06Fsl+2Gb/Ji7JmyHPxiS6RFQCSPIP2OJEgPwJJ1/OVQDjkav0iRY+kA23dMaXpWkzTQW+c3nF+Ocb77kE/LJg+Hy2s5HcttdPVmCzJZQtyaRtAs4Lb+R7gZizdKr1AAs75vL91MLnHWsFLScW7o6ih+BxPjkGjE28TZXmLjyCkidtzOTHia+LisJ7cJ9R/717A7ZZh9BzgTgx6nmjaLc2NJNdwXgVcNnip6a6qF8EWrtCOtiYeBLqumm68dY7XcjzbiNQck+Zrife3FvxNPBN2Wabwe9219CVm+/bmmWxh26gq3YIEENMAF2heQkw4+h64hTpVkUoCb1EJ+D9+lSoJVBKoJPCWlkCXaLMXj5fTO2c3QylSUWo1j9LSUo48qk4l+AndavKfOv/Rc56ta8z4byXcJo+x6AypW4v1mqVQrBIWKyrEeUkDEgETisxQ2vxCMYuSnLrWb+t4O106usb2Ahvpo+3vws23nnq4rQoQH+1/M6hLp3vcC0VOEvZhiT0pl+qFyRaaK7Xl9J7Ou9NvH3wmfbj9MH0SwLE+ElqP9Z9gr7xn09rcSlhRdSsNZRY65TYooeYacahIoVBOKb+5c1mRLMt4rOPKd0RAkhbAZh96s2z4bjRYQ6UCufxKjXmsgW1cg3VhFkwWsmnUXCMpFcG74JELnIe7bHlPirKCPwMAeZwkyvtLi2m2OKJ9lwnC9oGORk5Qji/yoh2yOaokCxA993IAtbjEb9oCekW+RASV+UcuqwxDjvIoL4Ju3YPpg2szlb+WXH/nfnqaAaQKeQ0LlcBy3N9MM+0zXKPTUQv6VLO+ADWsSiXPMCCfzXrh+hokKRl9wZIMUI4CNkuyrJbsuJ/F7wj4ZD4Xw6pNnXDLpj3lIdCYRaYX1pYslb705GUA5xAA0U1zV4lK+vZm+pX9F25T8hhr6OaUd/Q5qlZfUxIYIpff7i2nR9q7cU+FdloAXds7M6MVnHtHciyHmyrj4RQuzp1WPbZSevbqYTqFa+s5rJgN7s853F5PMXmzg7vsJuD+eVxkP7QwYIsSLM0AvT3yWuybqVVxE2v0AEB5//lFtmJi31smbLyfAk7dZaWpq6wpnhuOjrRiGEV+DBjHYfxjLSjjJp4Xfvehd42Jrt0FxvTUY1hUrA4vIQHmC+LRd0mGk52TwGcvUae6VEngrSqBCly+Ve9cxXclgUoCEwkIIb88WEmrc4O0wtYW2YIzIriJqjv/m5umNCivuz4uwEAoUQTEWQZU4YGqNa69N5vOEqziBUkafgqSWTHLQGIq+7pqhvpfbi6nK73NAEkr9SVIzKT5YuuBM4116GUw8YXul4O814PdCVqx3Zy3XFtMf2zhU1aZMKLyBwRKjw++FZasWVBLttI6UY7yCBjQAik53SMjSY9PBnuSz/QlO1E4rUCGAFksYXReqx+h6M6xpnI29t8DcNGGllhBmIAorB7QaYbFMotL6m6DMhgbcAhZA1abhvqN1mgRGtYfab3EkhyJPM9cp2aHAyAC6EqrjhdlUbfa2AeUsq6rbOGKTHa+yCFoUz+y/F18BH8ZaALQBZXQCdoStQz8GJ1WF8bok1ZC8qIOoMC8UNI5zzWsdXLmqSBv2Lt6kht15CHL29K2mSMBA9q4Hpzy1RvnNaKu1y2ttfJonVwmly3Py9bzffWXV5StZMuyWmXtg3T4w2p29+nl+P3pR9naAjflb1/ZDrDz4/dcSP9894UA85AoyQsAnn0tMFV6gQQuGYyquEmO6T5jy3voVkfd7mG+H9TSCh+LHDlvN2bT284sMrnVZauZLl4C43TPadxkO43U1OJVgLnf2W+ne7BW3tMcpdOEYX328l76MpZn91E8Yqy+/dwCADJbG50ku7C+QACnYfr25f30jWd3uNdzaZ0gT2XSeqp77hAQ6Wgx5SPf/uNdyVMR/YlnX2+D6rZnQb2Cb7f6iW2CmMAcEmyuApevQHhV0becBCq32LfcLasYriRQSeDFJPD0cCGdbQ3TXFgIVIymZuUFDP4HzxohXQQzqDArK9mz7AlikJM+W5m4vYMh9lsofNbJYCYr6eHaOVHDMidSiIQyprImTdf0zc9hfQCYmC6OWNt2dJhOz67h1oZVsVD2o3154HNel9g4pwLHnDyW55zap6J8XOdcZXAZ0KpbbQlzrFHuXRgUrKP5tjjG9SBnv6SQ5eXRNZn8CrquI9SS6AevO6JYAiQ5Nti/ssbaMiBl7gtVwkIqAbgw0I98FqSDnn0GGgaP0tN11nb8Z5sj0L3bqNhycwbgWfS1BIAelatgU5dQf2e3VrtFWyjyKvPuP6q7aORByz5cl6LJ3G/vnXVMAcCnC0JTy3Ypb8tK13bk2TWn9iMHRcqyjVsVAi8I9S/HCaTSbAM35bB65jtqMVOWr0xlmUvbBjxYRqtXCahLF10vaFWy7VI+tiGvpulvgWk5Dr0f2wT2sa0Vgr6UdZbm2mmRoCybe11kq8XrMK0CHt+22EiX2SpDeiuA/nWCzAhsPr7cJzKoa/KiueprSgKuV905Yn1sfcBzoKjzWHO8+IyU7uEew1XacUx974UWzIVOMyyNRvd1HLz71HH6Ys+122LMo/R2tjXa3j5IT1/aS9vsZbrN9kMXF9geaX4lXcCqeIrtm7y/ZWphNlvi3jrODQilW7uuuOY7XsrnyrEU74KTqvFse11edX/f4lHab84xGVIhzFK+t3p0gm7/kIlNZe+8WvGs3mr9qlwlgbeKBCrL5VvlTlV8VhKoJHBLEvjNwzPpwfpuOnO8g3XwAItPfs2F6yL/mas8qWxnF0FIFkrYmKA0nY5rNAFQh8fp8iaBY87gcsbsv0Xig6Jn3TGWn9D88xff/KE4uIbQ/TixbwWgOcBKYXnd4k6zDrJ13AgXyOERAWtQ4AVbYUESiKF5ZBUTEIKJAHIkvvOJxGU2596olJgNrSjKtRJgGHjFSyWJXgHcyuvKonZE/1AqS5BmA9EKdMaAPYGP1rou+4xs7guuCOrDmspZFNhZ9/mMzf2y9dK69VlBof/4g77JoyyrpFIy4KXXh0ShrIWCC5gE9LvRuNzuH+3TLu6As6cCTArqMp3Mm7+8fwMCkRjtVboBvmjH332iOVlG18MylX32d1i25S3+0Sbyz8GJcjteEOxO1mQWVj6H0oxbCggo+dOFNtY8En3VOQR5miTo2/vZRnY7DYZKhVxh2H6Z5CP4yXknl6RxQ9myTnHU+motAfdJvXwxmqG+7rtl8l73mTy5WbqwvhT9/tK3LkeQn8eevZa+C8vZ985hGYbYGSxmK2GtTunXngHs8C/6dTNid3jeRQD5NSYmztfzxIbgzBvlvfBeGdjFcWQE6hr3xGTUYgHIHBNbbzs7T5CsfrqGS6tRYN9PHsM8He730kWAv5GuD4hIu7G4nLbbizxVeez+LuDlvibu6eVgKMaa77G7Ty/E++bpq4O0293FJXourzFvusUPFkzeU7O4fWu9Di+B4h7GhA28D/HprMFzlV6dBNwaKyYbECGvf94Xr45OVauSwJtdAhW4fLPfoYq/SgKVBF6RBFSyvj5cin0yP95+lnVL08pQVt5d3yYgKWeOzdVNdsTaxQWWOGq97BLd59rOgG0fFgCYrDlEqeoRadQtR3qjA7b60MrWj/WIrryrE6nV7TZch1hGknUt3Sxroo5YWzlfZ70THxW1w6NeWmzM0w4rsgAxAUNg0/U4aqCzAL6wKAh6tJyZHRhD4OiPnCxTXivz4ljkl/rlmPY3h9vwJ11IAVRtagQI0/qFwx4uqycWuqBBgQCWXBfAbB+wzQDuXLOs9VpY66U6Vq1w64P/0iLZIIqkACsDUteXyR2EgpZUS6sriixl/X3EGs1jwTVlYv0r1kzpAdtY34n1rL5ixZyCHAVJwm/lJsDT5TDk5T0llft/5h9ZRvJ1XUAd2jjWCilvWjmLumaYp+I/K1CmTa2wAfgRXlgOucfyrux0GbaMYyoDVOtKQ3CKeyJr1JR5jLd8tywQrJVfXmvSltuhvDBdX3b6l+0ZWKdci3osHd29OSqqMl0HrMl0zRf/SH6dlBSg6yJ7yNj/Cmswu6zBfH7jIL3/7Xn9nzXK9ITuz5XxqhTHC459Ruinu4vpRxa2GD/ImXvuPqo+/7qhZoCZg+3EJIhjiHFoEmQalOf0MjvrElzsMtvHtDauxARKnRvX53O1s5w25k6lAc9tCSytu3uU32vey3yL4ztdYWumz+zglst2PsOVYVrvbqXuxiB1jg8i2M/yHBZTws1qNW06UcE69ogiC80hkyfur7rRPU7XFghGVk6S2GCVblkCvg5bHdaOM7EwZq+ZClzesuiqgm8xCVRusW+xG1axW0mgksDLS0B30AHuh08NTqV7G7sAv2mASX0UPS2KofUX5FTAj1CizK4RfbHbYx0eaK/DZuG92QPcwdiPDjCpi6XbDKjEN2ut2J8yR22d1rQBNCj42UVWYAHwLNY6CnVoCjCHcu7+Hv7gX6TiGOAEJTRADxeCV46hLkZ56+RPAMwb8ygr8NK+tn90wKbr27HeMcqWjaFzCowEiAfDPfo2TA22AjFlOKaYMoDa2De6qDIjkM/CPoF7UD0142W9NZReXTddnxhABtZsPyhFn+JLgkE/2oBnQaBc6iirrASKE7khzhHAU5jUYjsVuyg/AjHlYvtaDU3uQ1kv247fOT+3muUd94AysYdltA1ljke4Q8uqfS64jHZiuxOuC0r9eA+8HoCuAAnTltGyZ3Hv4FOAINPm+7EtFf6QD79NZdn8C1BBG/arThAkAUjp2huRdwXgFJy45RaVtCor12wFVza63Z1MFEQfR1iCR11kC9hFw93cdTuMcTqzOncdP5K0vBbbpy5tBc05wM35tcW4D1e2u0wwjFgfWE/3zY0rt9jiHrzYoc89e6DRxcW7HB2W9MnIz497XcbkRIyQk/HgPXVsOe4auOa7XYlrMHuA/oOjZrq4uJYuL6ymEeO5dH2f5uHr+430btzWG5pBSQdMlv3OXjs9x73sMSMwZBxcItrrZmcp7Tfa6ZAxcUgU6K2dHm7R7gfrXpkEIsILgAGRrm5208XtYXp27nTa7izctM3p9qvzF5eAKwF0jW2yfr3Op0qVBG5HCVTg8na8q1WfKglUEggJuCn4s6OFtDrbI4JqtjBlPc7/1FX0pwEhWSjpofiBC45QuHqsLzzA/cx9yVrM5mv5K11IbQC9K5TxcG0VTBYfQVNAFa4LKIy2OgEV5AkQBEOFTimpou186rccmuQxQEn+kfPMj2t8y8RU8teA6JFdrKO7o724UseiWnAUFekm6xuNipotiWiLnI7TIRZZQYoJSBUAZGt/nPZwE54BcM929gCWBOIJWWRwVidIj6AyA8tSnic8ZfZCGkHXr7jKFzA9g0mgyxFA23WUyil/cr/7lDFgT3MG6yR1Swuglh/lZz1Bmgq5wC/qcizdEHNjGeB7rQR4lt3HanNldJWYKtBnHazJ3ltGi7FlAlgGsMM9uLDiehTQRp8p4z3QSqnsBHe61IaVinLyJxi2joBRHqIdymZwGb/i3CkQ2xeSehRs5vXBjpV8rxw7tuFvU4BL2st/mfdpWRxzT8eDLcZtPx0N92m/HutmD9hKZnW5HRFJg9DUl1FKn7+2G2DG87Mri2yT0SfvMLbMsAs7R630LYBOlV5aAl8fzKUPsjWJYySPfI6MJ++t48zxHOOAq/neF/S45hhy3Fhuha1FDnGrf6yxlvY6cy8J8IxYe3mASy5RnY25hEds2ucZfZ7tS0xOKB0e8GHCqM/zu8uazd0Oiwhac3gLAGRxm97cG6Z91ubu7A/SVSyWz7bW09bCYsFcdXi1EvD/ij5y9z2AQ0wxLl4ttapeJYE3pwQqt9g3532puKokUEngNZJAD2X6343OsrH5Rdbw5UilknZLCYFiTllR9zxUQL6WcI8dMuPfx4Vpa+sorZ/OLqVoeoAR1w7msn6jJ8SvfMxKYhSYKmWJMmlF66Hsu12IRTKUKK9OHSEoMMFYFApmXIm2chlPg3O+tFKatgESYaEKZzlcsPTTzY3EdTtov1Vocw9UdPKlAJRYZ438epD20qg3l4jvAmhKaWEOawpbjVg4gBSZYelFc82Az3LZYpipRVHaKeUzaY4TCEabXBMn8SewzDyVtfPRa9vjnXSqvQL9fL/iCP9aE+sl82U1fgdprkcP+fKoJcj1mCYVu63j3bTLFjFWVxQZ6FEH2egibZ8CrFI+eIOKoK5gOwLkSCcApQASEBD8kzdZR0vhAJPkRb1o/aStzIv85eslNC+KhQDLehPZxH2blMgnRSF54ObAh1F3sTIXwHe69DHu0YtE092ijhFE15Za4XrpOj95tR3ds5fmO2mL9X37WLGeubLHmlvAsWuBKfP8xiHrbmfTO5Yb6YlRBTCn5XvjOcM//d5gPn2gKcDMV70/bsuj90N4ADiBxPjUcu9YLYrlc+8H7yr8x9Mc43eMvI0s/HLp4riWfm2vk354mXsVlE5qOCzmF2bS3p5u5Uwk8SwP4eEATwwjLW91FlNDV1jWhtdwqe+xfckeFs63UlqdwWLMJNuVxHrUW5DXG9m3JnuDDl1zy1rml7+TbyRnVVuVBF4bCVTg8rWRY0WlkkAlgTexBPaZ8f/N4d3ph1tPYiNTfVOh53MTcBkX+S8fHT0tLx2lja1ZlDAsAO2ZtLysNQ0rG25uWSkovgvlJR9UGAQ2/nlOmRdoEFgNjrppmWAvvcEL19lFcYgV1AMsjNVS/Rfs5yv2IvpRAI6tgWAJcDMBQVznWgYmud+5fyff8qwLp8AJNRaSGdDa1i4WixFrg07Nsx4LN8gNSuSoo1xU6aVOt+92GQaqoF0suw1c7yZpGlhGbwSymecAXQWwDCsfCnfJZxnNV/C9Vl+LtmzPXtsLt/cIN1DuBUguZ9qonfGafeFoiu/ILycStLoRZfNoOy5GLmXjj2PpAmt/7F9YeK1PmrRvu9SwnbKt4ItygtJY88h5rhVVM2/Wsq3MWtyruGqe5T2aEQVyazGGygpR+OTLEiVP5saa1YJX3bez5XUu1ec67FO6w2QA/s20MFdnL0vWqe4QMMaPVVq4upZtj0CXfSKDmgy6tLnTxXI2n+47Nx+sfet53KgP99K7Cex0NLuenk6N9MF2P32gM0i/sjWPyyWmsipNJPC1/lzsDfpAO28t4wXHgWuu2802XgwMY63ajJ1Bue7We17cS++LY2MNr4H7iRT7tdHJViKTRm5ycoktg35hcz79R2vcdwdKkRxrem0vLM6mHl4JPkIM5WhvH4tmncAzbQI5dY3YHKNiqnJJ5E18/PHO02HxHQ67rKNP6V+l976puI0tSXi+XHbRNMJPlSoJ3GYSqNxib7MbWnWnkkAlgZtLQCX9sfFqOl/bB7Jcb2HLmpf/yZefTEMLlEoXQUnj02nhyoSFp7RSDYdY+cJ1zUAdI3TBkzWH0gpqaG7ler3IKNnDWtCutWPdZdlqeVSp9DyUS04m52SplA6KdrXGyYuAxuBCQJ0AvwHcCsW0bO6Fx4ASk2xBlX0N8Mcl2xkRjGiEgtpE2Vycr6VDAuy4V5/tDTB52E78eaTO2DpaILVqwpcsBC9FK7r3wWD0y9ZzQJ28rlOQ5rpUaZtsv8ZO7ajlmR6/zcvtAaTCNZdylo0akPZIG5ZTaGHJixqZD8HXCDfby7rClvUoyipH7oMWuxzYp86aNK1IuX7mxYmIidsrfStBpU3KcwZyeYubss/unSlQlifYyeAv2qXR4JFc+yURs+IY357lpLg4k6b9CkBrXZLfJR+W8R6WbdumLpU5D7nWO6nGfquzDSKGpn6aJ7BLm4kAA8dYVlde/kU/FgnucvrUXHpuYzfYXF+eT++/f5WJBfdEnI0tS9wPVtfah1dn0iPLo3QXLpjqyQ+y1u9BtgPaZ+z8wFI3PXbIxAX0TXF/HGP+yFme3fbJ/s+ztvdcje1zorflPXYCA7kxRhxDikSA6T2NRL0sq3xUjJdwR776CtyRGdHp8/ut9HyPcZgbz7T5znst6gGgiybr1LGmOVwdWGLcko0YqrJM+5PxNaHy5jhx0vA9ja30fZ3LsOl7wskv3snI966Z7XTteIlnHwEUY/H3lWtk6Z7KBlZr8n9KlSoJ3G4S8DVSpUoClQQqCdwxEvjs8K70odpF1mFmi9tLdVycs4h77IDtJ7Tk7OzOpHW2zlDPKvT7XJ0Mf+vuFhFSLVAkFccS7FixVM5cq+i6SFYslkWLY6FsFEpQqJVm0YDr/CaKp23wqWNxGhDBtk+kW4tZPkAIwMLkuW64cTFyiq8pHm1Kvt0O5Bgrb6wpjKBFBBHpASqdZcczL1ilcPwhG9Vh/0xGxjW5liz6C3MjtmxRaVY2WnwFOhavASKH8OsPlWvbC6HyNcVWGrBOdgeXWOkpt6VZ1nxFc7lNFUX1ZW2uAlfLeGUmeCC35KXId7JAZVvFU57y5wgH4H3ys0LfYguJ9pgAQtDB6TbNzWIloqA8WD6nzI/tBSiItlVcuUqh8j5ZxwkA11rK6yQFLYgV2vsU2UkRubFvZbLtGDtFX0pLpzIV+OaARco6U4vWKKt1rNPuhFzNcwKk3j5LOBddnbMMhrj1uv2EnyYRR5oEkbFs+4k69979RB1DWb7yM4dL7IX1uXCr3cCquTxPcKqiXa8vEKH5B5YOg9+PYtH87UGbvWdxBd1G/vNI/w7UPL4xbEdwn9XZvHWMclLGjni3I3Edc34+4s6Rl11ky3FjxGYnMPQ8dyKHx/WWU0T1nR5MUzVbuGh2WQPoBJKWTN01x5j7fGV4T51Ycz4o8+HYymPBd6NlHBcvlxwa5fhwZMm77LySPrxcG3ME/zpXJ0Yv7xllKltNIhr3WX7QGnfTB2a/nTZmFtJj6dzLkXrdrxvUR7kJMJXN9KvhdW+8aqCSwBsggTvwFf8GSLVqopJAJYE3rQT20Wy/Pl5PH565mNooJC+XxAXLi7jHYsHbZx9GlTH3w1TJygqTCldO/hZglimuxG/hjMpkwJpQui2jpazNOqdYUxWV0Ij8J4BQ46CSitJILaRI5kc7XlH5E1jysV5oKVwfYVXMQDfzJgDKyUIm8oN+vm5lf3o0sI9wLQApVr5ZrHijkVuzABwXCXIDMCxT8GjD8CHolYRuaDnJOQkZC65cJ+nenrbTIDhPKIFci2iZyq2oNX1wC5UdoJ99cZbfOosAzGhHt89i2w1dWE0hN44Z0Gb55HvkFg27aWu0QyHbKmQI3bJdI6Ta/yEAvj/ejTZaM4KiuNkSjzy/hLQRtKnICzfYzECszxQsl+16bwNcep1EV/M16pZt5yt8RzdyX+TGFPebo8py7l85NqgNDcG8MtQqm+nl+p7nM6mQbJjyNyazmlgj/ZSp5N29DzFyEiE2W8dLXnTRXF5opQWizhropztgj1ijxhTJpsr08NIwXeC+q/L/6oh1nDe4AdYZMCOAze2etF7+2/5y+tG5jQCH0d+i247vckudWOfLvXR8DUF2IUq+yjHVPsTS2XgNZUY7Buty30XmzVKD95sus873xLpA2h76UMOrrxE9wvVMcCuNIwKeOVYYgmH9jNcMRZ0zCUt4cfTJsV4kylMEIv6Ls5zPd4gDOTkm40Oelr3aLYyPJpbhlbozYLbGN+8pIGbIcYb1qh2e/fvqh2l99jD91vHbKfH7mJB5vZ6B+wjZ6iZbpUoCt5MEKnB5O93Nqi+VBCoJ3JIErh53iBSKheoWwKUE26y3XFg4Tjtgk+2dI34T/RWFLLarKFqcKEyF8hQgk8x+F+tki70H1ZbQvrLqkyvtswbO/S4D4qpUme3RsiSByfURVMlXc7cNFDzdSI0IqxtnKFXUG2KpKnU2Fb/Mo9yd0JV2BhC5HX+bVGYtJ/jS5TebKuE5M1bwpRXXdaKWi15z7pm1Mmgjo0jkwoP75clzDqgD+CXQhq544UepGWYqFU1FDlUKPjlyYftoJ7ZwmWNrkhtTSI8yz46eC66kM2QvUl1bhfvy13ANGe3VUO5UfuU44CUd9M7EWjQsyoRQCrB8prEe9RQAYYsoQeI8jkHTDBKMxvpM7pfXyvtH5Ukq68hJXFeocX2qELXHWPhswTJh2YF22aIlJ6Wn6ltWS8jkWpxNtSgNy99CUuZlahSTEgPM1mV9qSinBmB8ZamRdg776crmQbr33FJZjbKT0zhZr+dJnA4K9Rb03UVxvnbMHpCH6R9vaUO9M9I2+9d+ob+QPtRy7WtO3ltHos9Jl+eqQ0Cd7MrMFYCelmfvun8eTzUGPANYmV/g8VAQfBWH8nnwmTZ5r51Uc+1lmQSMbk8iGNJJwYkiizs6MwjlSWLAWqMGWDKYs8CwwXPuOM7PV0nthUdfA/Gccoxz5GGb3SJS9RwW73IM3ljbZQ6EOSJbGdFYDEDKF+/bsBI6icGEFNMb6eONJ7FgnkGO9JH/A9yqqsGkWoPjE6M19tg9mSi5sa3X6rfbkPR6TCpweytw+VpJtaLzZpFABS7fLHei4qOSQCWBN1QCnx4Q4KfzzVCGbFi1JH958sK0iHIzZh3ZPltzbGymdApduvQ2zXWzghhq4LSGjmY1dH0iJBtGKw1LAcqLChcEQmFCGfK6SlGpQKls6jJaljHfMhlwqMixRQjgtHQ11S1UwBkpCubT6NQU3bIAWXSXP+rouhl9z5lhKbW14ZB9+LBQtDBpLM0R2EiNkYLZFS4IhEUygCoaobzlIEkyEF0MsoIvmR9ggW0RSMYos8f46sVaL2TS7+PSGzKjUK4KoeAu2jNT5VQZDI/RxrAmnhTLfXZPzM3RZu4GV90CJFB7Fhg4FgoW5XgsgLOv/iy+J0fKBCtc2T/aT93jHpE0x+me+l1l4agTpCgoqIx7FcAyK9JBC/r2wH/eRyOD5sRV/hkteIRlVoPOsbxF+aO0i9XU6/42+q7W7VO1U0Q6Xo52EHAcbd9kW5MouGVG5Pojmg+Z2Km4T+SVfff69Lm/c418lu8z901ZTiXbHAHcr7aeT8eNVrq2M8uemddbL6eKT05/dO2QCKbtdKExTu8mOM0vPk6AoNXJ5Tvi5DHcY+8lKM9aWNnscnknc/e1YDpWtL6PAJs+h44Bk2PtdKebWqNTjMtc/rX49j02EsO+RHKewfFwHRDi3eHIOPGMoDeOd0DoER9Bpz4XPmqzPHzZ2m958gp6ZZM+po4ry5p4MwbEcy2oW0L16HCH6KrTaQG3+ZWZg/Rwc5MtV3z/+Y6gBF8eZt17l0mQY7ZWCZfieLCZKCRi8kfre7zX5uJ60IRv11RfqPfS5/rn0s5x+bxOt/jancerlHsfr17afeFz+Nq1VVGqJPBGS6ACl2+0xKv2KglUEnhTSGCEMvKV4en0/sZV+MnKiOgj9I+bcKjr1/KSs82zqdtFWWFGfglrZtSxPBVV3lVQTCo55R6VpbIjiMtBa/LMeJM95fbG+1hQsyVuomBIg49RXE0qb3HNbP9QMgU9uorGX24M0KZbmInGCz7iPGeGwpW5K8pwyO6zqojWQTGExhBAOWLtYZ+98kyL7RxBMlxZpYsw3DvTNuyzn4Yuqmp0KJyuDxMYZalmXlSMTXl/SPahpExzttjyQwVQABP9s1RWWj2z32UfPd9jb8oxZU/Png7FVvOG8ukhj74yAa4JmLtd1tTKqzyRjMapfGZZV+q+liqzfgStOdGK7WuWIQnWuwkQwL6CY91yGS+RpEnyV1grDWBkntlkyqt0TfKru6r3MeRD3tXxRmxl0x0dQjevv4tAR0U/gwbnAgrvtcGgtnHp1f66OnMq6EZ7nGVOcjtxgXqTVPCpDBx3us/emORPWh5vlkpwGUGDLCBNylr6K+Ovp43aZjqz8I50uDFOW7vd1Fl/eSvkpxZzdOSvXmbN8crN270ZL7dL3oAR9/hwLn28ziTCTZLvDydhlL3j2ufT8X6SuAe6qb7wdp4UeYVnej/38rB/ZTXl8YYaDqWweGL1ZB4phoxAU4vnmOeS7kSeQ8mTDDJznYaW0hsI+ixJ54CdXEZD3kOFC+lHmpfTPNB1pUa0YyrFpJaNw1P8Lsa0nhtjJrNqeHecLD8QAOOfgJwn61xz1bSEV8UH2bbqc/3z6YD30+uVvL/KSXnwCmHi8fVqqaJbSeCNl0AFLt94mVctVhKoJPAmkcDzRwvp/UlwWSYUk0AY/EbZmCQUIZXwJmudlk/NpmtXAXfdWVzYcKdCKcjgQiigom5V6WTlcEKooCeIOiKoh2BHsKbrprP0TXa9jEQ7oXcVjVstlP/QxnJbewITrZpqZqFEaanDygXQys1kGg2nx+WHMv4Fhyp0/hX85DZthO1RiP7Z6zVRuogcWyCkNr5jywsNrGMG+wE7oiA2AMUyWRNgCsj5EwxFOyhMNcCUrdnOIVuVYKMMkJXllC0E1hngLtskYqlKtAq0/TZNALqKIn2MYD1xMffh4PgwnaZcCYzcGsbAPybbHOBrlpVN2ct1yj0ya3RCVX0i16gV3YizUoKWWB4t0V/kzHl31CVK59Xox7k6QUGQQ1h8izaPCznYCXnwn/L3HmlZLO/hUm0hXexdCkXXcnZLGGkq75N1gwDf3ldltZWwyjJEVuvL0W7IkutKOW6G97gYI2TkMekJSaVay810sq1SfrYeTU4X4DyvuxVEU6KkzfHTo8/jVo62T+ubi8+m+a37WXs5SGvLbNnjwr1bSBfbrOUlUNadmJ4cttJdrLV+WzObC/PtzuNWMJQBpePBIFh5oiOPyzxO6ljyCKL8miXdnA3aZCCfW1nfeKsNO2T6uH724dfJON855R3n0Q4g6VxOH9C4x3r2aJ8LLd1qCRqlo0euR7TdzgwA8yjN8355pP3tdF5Xa8VBgCrHps9BPBOCVzwNlF22lObpI9suU1TzR9Sjphky5DuPf8sz/XR6ey8drLIN0uuY2u1ZgsTxzDAnWIHL11HQFek3XALX/2/zhjdfNVhJoJJAJYHfPwl0iQb62eF5lPvpV6EKBp9Qg4ojvwMckLtERMWFRYKoMBu/u2cwFTJDSbEfllOpARCFMi8t80lqWoUyUwIDs2cBaIdEM9zFxTVbq4qyXjRNtKIMRHrjHsp+EeCnpE2xDHTUkmhGrcu2UJb8K/PKdr0eJb0kff65VlNgPRwZfCevlVpmf8u1pTrrppRPVt6yxdK1SqXl0qYAbADbHMRDt03OqeGn02KPRY5a/wSNQsjMZa5nXQPeKLOcUPbgSUApIHI9WPwVcmjQ7tvqd0d7ljOYz6XRpeDBhga9PsqqgVCKVoo+2jb/ohx6NN2BNvc93GW9Z9BRybZMyCxEzG+tLdLiQrja0oYkyxRlQ4QnuZav65KHv6FuwNbN7sLsJ8k0wvnZsxGYSBqZPajIwxRl88/U12M7lugKLOz0t3DX24vor3l8SSG4y23II/zGvbDN4mMpU/k73y+FYG2/8rmn0yksqmQILgeusSM9isVy/zjvl+nvEW6E68sd1guO0t4hcr85KYtO0tevNdKTO3fu3LZeE782WE7/36Ul3KAF47qgKzv3F8UC32dbIZ8nnhnHZWz/E5ZnPQrG6f6Q/0Scr8mJoBIWXpvEeBFUHgAY5f/Uci0i0S6wtKCNa2sboNhgPabWO4Y9zz8TOUu1dPoM++nyfjW67SF1t7CIX7syShtXx7xrnTzzPWeYnuyh4TPj5E2srQxaPK/2gK94ByHD/PzynsVyefLM5CEfk1iWjQrU8zkuPu87fSWDztdGIjelYnA4k/+XxEvypqWqzEoCbz0J3Llv97fevao4riRQSeB1kMAGwX22cUtdwxr2ckmFT4V7fbUW64n6rOU56NbCXdZrggOVKRWUSVLB98dE68bKaNmghRYFoKsTMl/gcjA8SJ1aJwM3amVaBTEOw/EgdQGiZTtqQ5YJl9JJg7aVf4z1t9IuGjxJxwscg6Rf2bqq0uWWKTNHgmJByWw6t9IAGAq6nFXH8ibADNc5gR/nJi8W/fIgdJS3uBq/7UO24IU1kUJenyRO3S+z0UTxM7ojMpEnS8hzLpqPKok4l7KFzGrIT3dR29n3vlHEPe2O2PokEu1ohNAlNdZayVkwqBKviyj9DL9CldG8htQtOmCAYEO5D2u1bLUIURZ8r5PXCKtsrmfdkC0MxLmNkrIrLO6wAMzYZiVyVXCz3DwupyVq4f6KonwY7ry5kHTKZAAit0LZO9qLsspga8CCX/Dqcmsxgr2UUUQFJqZ8KGiEDOGNnwEoizKWQxdHjvLED8qV9b1W0rCMybE5woLqHpc3S+fW5tMmUWOvbvfY3gQb/MtYL9eXiOyJdWmDfUzv5PTMQjttsQ/oQ41uupv1g23WAheDPqLHOracnBA8tXgGtfR7v9+52k2ffZk1kq9Urnrg7wMICSf0SqteV97JDddHOq4Ekw40x60xvbzmg5mfuewKa9Cf0v1aQrqKzs1nku49a6RavLrpdx6rseYzyPJeKwZovDEkTTVBpQM4xjPt+adb+ug65GxJ3VHZpxi5ZtfYzJvPQvm+7OwP0+FiXpoQFV7rL2SklTb6B69OpFWpksDtIIGb/09xO/Ss6kMlgUoClQRuQQI9FNyv9tbZXH560Yv/yd/8o5si6kBaWsquXgcHurPVw/VRgGTKynxWdELJUZcpFH2phgWMQtmalhWdqIvr2O5wN1xlA1xJrEgjwNPuMIOM8lomCTdhPi1L0m6oWflohETdIuXDj3UEZtcnFSotZ6ELhhIYimBJB4Xt2nAjQG8oclYulTAUouDHyqayX8GFVjQBJeumkK98xZYkU2XaKM+C1Wy9PFHslErwDALSNVWX3wEW2yvDa+ni4FL+DK+kHSLImlRgLTOxkNKGkXbjN9ftXVhD7aemEXRQ74OfMVttuN2LgYa0ZLpedPNoI+jGl3onf1prZ1iPasp3rTjhh3IRVOoCqzKr1VL+BWV+Yn0mR/MEncp7qbaYlmvLsd2J9P0z2cLpeglui5bI7Mx2sHu20kZvI20eb2XgAZ0ySXuKszI78mKsFVcdw1rHjERqJN+QM3VPjlqfo1NBw7qjwnI5RXRy+tWZL6czKx0mWobpuSv7GchPrr7wZL05TithPn7htTstZ59Jjc8P59OvD9aLrp+MA4dD3FKuOHZ9RpyYcK3gD7BW/H21fdbvvjYSywCPQcZz9GqTFrjDA9dfM1aJsC2w1NV1nzz7ITBs4tqt5bKFS6jrJ6eBpe022damTDO8D5tMcM3NswXREh4jHE2lTBzHI8av74+YIEM2Pne6c0cgNBEucssTTLDDc1dKtzy69tse3+zZ+cDcxWjv9fxSFhGB13mFKlUSuE0kcPK/0m3SoaoblQQqCVQSeKUS2ERlJ4QGyo6z1Kr20ylUDzLKo4oIM/zNY7YkyUrTFvhmRCTZEvRZezQanCjZkBR8lJRrKDmRoCMoig8akwCz1W6n7dE2ATZy4BPL2d7B6ACbgqszSypeyecRhdafJJWm8qgyaiAZFa2sPGEZAPzkermcPJcfFTG3WDENUApNAqUAhmx/kMuZK5AbhRtvrpOVu+t4y9WjKZVB68615oKPJjQXME/Mt+ezEsg1U0MX0uI8ekJFwWlEn0QGQwLgKJceEWN1Jd4DbAMPY2sT2zgBR94X6+qEWyT7xifc6Io24lpZwCMfy3gc8LdxhJXwhEKc5nsV3cq/i+sqt4JLj41atnaop2c+Mi/yI8j06L0xaUNdqa2kuxp3AXqV4EzSauoem9PJ9a1rAE6tp7NExdzubaXt493UbmHZmi5YnEc/bsgvy5WyEbSXYL+UXZ7wyBXL8rrFatGNMjfQ1AL8XY0PAi7n0vJ8k8ix3fTMpX3K3lBw6qdy0ROwSlkC7oG5yTrmf9K/O33mAMu82SEfv/LkTLh+AqK0nPuMr7Eu8P21nfRnFq+m1ksJOzdxS98NhiSG/VeVfE4joqvbjzRVLZl06x8F2OwEmHQtdgaTNxubNtrEjv/dS5dftP3CMQD5MDJd40y//fR7XT64E8exW4xpQCrFsuut76fi3Ul5x/hNU4j75FprZh9vjpPfN63zHWYaDdflCAJMDlWqJHBbSKACl7fFbaw6UUmgksB3KoF/sX93unaEFS2sj+X/8uXxeurqJk6KLxIt1tl4oxju7wsgLGcd3cJq4Yql8hOQQX1I4MI/lUNBSljOCrBRAkwpzLWIg3g8SIcE7uniNrrVPXihQlQAJMtHkxyk70eFymAywYkAVh7IbwBEOIkKN9OvvORV07gswPF51jRqHTUKrG55eS1YQQpVj57QJgocsosgGhIoaElPulkq9K0zH4C1JO+Vsi0d5iwvxVJxVFbmmTzat9JK4fkIKyNF4mOdaTdR29C6kVXdLBuJZLnwTQH/ppPlvRfeM+x6WEa3gx+L5dJG83Q7lIIr8gNQIu+QMcp/biF/z2AlFsSFpZD1dD0U4C6fcsuJvO1EpnWheQGQeSG1sVCWXMlHa7aVztXPBr8nvLotC27PdK7T7sBDdn+WL/m4MWn58nNypei5QlIOfALIMx7D2stxmo733oBGl8ZXgnSD9cpniNj7kcaHg9cmLrN3nVkg8EozXdk+TBc3iOr7Ior5tYNa2rlDg/nceF+mf7vm9wn2vf3CaIV1h3oXeLd8Khxu3L/i+WriRm+ed9Bx9IHuHr++81RnDaAg55UmJ3/6uMI2qa81MiyYRNTGKSAtEGH7VoIE4RSffnj+6dTmWVk6eunFn7/bvz9dHs+HTOI9EdLI7zl515o54r051huB95+eCOEuy7WGptNI5bOAjH0GSMUTET/NcunCCpN6r2fitvI+nMX7Jd/R17OtinYlgTdKAhW4fKMkXbVTSaCSwJteAp/unk6Xj+ZQWmAVpWSiZYTywn/+hRJedkRD5/y8Sg0RDwNvoBBaORRBXbNU1lBwUJgsoyIkKRVFrVdhydItq6A7DTBnMSP00c6e2zhMVzcBdgDYm6WgyZR3jfKNVjM+ulxKu6QbYKwAP9fTmKapUojL3UjXspnUCZe1bM1VDctAw8Auwwg+osvpdBtCwgAwgMwJwIzGFGZQOGnaLJKthxWhAMDm1elHrFmEX62uupk26Vd8PJ98uK57qcp3yNzagGLkGUniyDVvi8J50Wa+phqZ/+J3zowc5wdKJdMqXSxEezO7hSwlCeFSbBRwHz2tu9FHAIFAOX+CaDSr1cmxkFmCunyh+PbcQZ2kNSqszBxj/VeuGu20AZarWDbjXpLvcZl9LzlJe/3ddI2tTayjBdOj8ihTsEm5SMW4zOOzLJGPJV82qFJgG9m6U9Qlb8hYXJxZIJImG7yS/VD9wfT++nvTgmFLKW/JTque7j23iKW7FuBSK+bN0pmFcfre1QEraE/o36zcnZr3DaJYf364Gs9BeTu9J7p3ZtfY/DyW9/qdq1jYTrxJX7XYXO/Ia+MVWdCcWBNYGqBHYNkHJPV78AqtNq6x0xMUL8XYO+u4fzAZsVQbpLP1w5fkQSAqFvM951pxPUGcVDKCdkx+MVZ9l7oFiWNTd9jYiodHI0C6z0Ikj3lCyqFI0eLjuKRPM8N0V33rJXnJdF79t/z4+nBlg7KvUiWB20ECFbi8He5i1YdKApUEXhMJdFl/+dn+6bQ3y+buUPRzkkqF5CTHAkb8U1dBtyEBrPguP7kkyotAj7/scpitmiVtwZDWsrKsNEO5J2tz6zjC73dR3ja3dLUtinlQE7Jw8S2wcC1lVlZQpkS+JH/X3NtR0DdRquKSV+Mkgvlw7ZA9PGVlznVO7QxU6gCms40zUdTqgiTpqLyN8KEbGqnDBCvZSoCbKpYCbJy5Dv/LBNgs6k14uF5ImYbf4frH2kX4d/uT8tMozusc7ZvbncAMgJZD7ka0B3MTWqWIlKcfU5zDbPnbPKuENCnjZIDysB3djQXt/VnWeo6vWTkKei8Fh66djAA/1A/ltWgn087tyVSAPng1mVuOAyP89rBmCtJ11xU8SLPl+t/gVwWXYEoB+aycrbjzWDbNX5xdBGDupedGz0cbOaqoAs9A1vZMMYmB9qpksvXSMz9FirYox0/vz8mVkzPXXLYI9/K+2nvSI42PpfWZtetkmGVznBbYYuSeswtB51nWX27unrh3l815vNAYYRUapw5ApEovlMAT4xYusnlf0/Kq46YMFuVYKZ9Fr6/vv7S1r6TxUkefA4epFuxbSVo53WbECLC8elL30MBPx3gnsFYy3osn4+el6DV4V5wnqFH5bLxj9lqan7l5f/ADYCuSS+keAKgp1orDuC71sdYZRpzwiW2AeHcdMW5998W7sWCiDMqV30WZR5/p/HDf0HeChM2+xHrjguSrPujqC7vxOPZv3uVXTbuqWEng90sCVbTY3y/JV+1WEqgk8KaUwIBgL//q8Hz6Y/PPpw5uqdepGireZGRFJLPfYO9L182oVKlshaLAJfX1rLMzMw1gCFCjcliAvjqh8UfjvKWIANMZd61yLKij4ky6fHmcDlHWGuwzqZtZDyV8a2cmrSyrYJYKUQZWKlgqT0ZbDWAjUOG3bVmydGOV4yEajKAmQIbKFwFq2L2DfeYAURy1Wi7PCdqy+yjkXM8AAEAASURBVKlAxUA27m3pOkSTFrcAQPHLtVUE1aDeLJ1XYRMomXSvLAVYJ3CJFrzydxQovmItFV9DGCiVxQyCKAA9BelfQHTPi5uSpXBCybYFoUNc4krw6FFwFQ2znlT6JQ8Bo4JIBlTuVWl0znXWNrZm2+nZ4bPIz4iugEmsGDvHO1juTsUYsL8q+tJTkc1t2MzJ6MgQr+BSnkvGOZUjpeTWEq7wFEzr2loChnarHTS1FEdfos/S8mSGbUrOpN0imNEBbraXWlcIArSOBbMdrrfhakzRLFtllj9UzulG4ZX5HAUuJkVfpi6DRJdeFfXYXmXqWlnGo/fg1DxuvKsjrJeH6amLu0Hn1AJrQwuC0R/O/+Q5+GZP1X++8xpu2jjNzFv4XGv8xdlG6vI+ypv55M44hNq4QbtlSVjpYuIqpY+c3mZ7k7XU+w6jvToRJJZ6mYC/vlQiYrbWSVP30ABnrJvEgnndwMlsv+T3vfX9tDbL3rQ8Co4Nnqb0idlv0vce27C0U5s9QeO9wLg/eRZEZD4LJ++DeO/Esgab4/ls5veRxRx78f4J4OwkYOZ7iIt7iwjdL5bOY7m8NruULqaVFyvyHef7PpcbXWMN8FOlSgJvdQnk/0He6r2o+K8kUEmgksBrLIF/fXAuXZ1ZnCjENyOvSoAuBqDRcgkAzF6OofKclBdsZMVewDcJ5kM9LX9Z4c7KhVZAP4JENwxXx185NZNOn9b1cjZpwdzezWua1EYEIjVBicByAh60aKhUqV7xx0mOiKqVkXVIAEstpb0ee8ixj9xl9pDb2DziN4ohbSzP1WILEoGT2x8INCAF4CKapSck6Q6w3Al8ygA1ZdRVUZP4OD4odcYHMiiGgNatUVz7FLwFf1xT6RNmUaYEfm6tIj2RUQ1QGqCLoyBXUK41tS6AJq/8hPIpTT661ma5wiztK2fB3wi3OaPuClMjBQ98Uabsm1t/NGfcyP6Y6KyCHnlALkR2bQM4Td7PElh6DIWXfP9DlY8JMLZwEM91bEbrk7xYJx/hq5QjsjGvvG4fBPENJwr4xHrgEB6TBPztHx3AXUgv7Q/20rUR1lXaE/xl/vhVjItYT2mb/pYnjn6Cp4Iv9wwNAfLbJO0yjUIp10KVZVvyP81vWdZxuX5qLq0utnCnPU7PXT1MuwcEuIJGKatom/Y7bL/xwfYgfagzSO9r58mWks6dftw9qqXf6C5xn09UtYgMjdy8x+W9UE6nmPz4OECoo8fAd5DEZgzBl01a2RwuDhEjxAoqjQA7ee5elkIuoItrnUmdGMeMLZOTYQ7PDkGt6rjpx+MaY5XMYvxHwzxrM07IwHS8I3hGXOPsJ69PzfzIk54OTgJ5HsGRfHFHymPS9mK8S98fMfaLMq9zsJ06UXHpBu9HeOF5qVIlgbe6BE7eWG/1nlT8VxKoJFBJ4DWUgNFjP99fT1eOBBQqGaUyYiP5dygqnLcNwErKQRnyud95LZ5nU0o1v8A4pNLyhUoDOVUKFe8xoOrg4Hole4794tbXXV80izUTC+a2a6P8jTKmIsQnlHZOawb9gF5WovLaziCOIlYGq7H1bl9a7vsIqMTyema5ke5ab6S1JUElrqfSLhMEGwC5hVncHc0r6NNSgMAAlgBWt/IQGMbaUcGI+BBlqbwuINWdVF6DP+hyNc4FqSp3WQasnYKWgFRg6FYh0vYzxqwiPRXgcHcD/HoMECwQRmkU3Mm/nxL8CGxyPWSs8polHkfP5dl0eHSY+kdYUeDx1OxybP8hX2Mi1bZnOlm2cmobKLEUzADbe6CyS34GuiGpoKnAykkFcwM80gFbtB0/QwKzBPAsfpcA02vWtS+68xkAaDp5XUr2b5/gI5dHV0MeRuR1zaqNRBnp2ibHyCuJmF9+zPO8uGYglDIZnIeuxb2f5jvXzW2UdKyTA/yw1QoWy8PeMD2/QSCj/rRfd6a8VDtKH5vv8emnrb1pmeXrd/r3pXEj/ZvecsidYRTJ58hxpst4uFyby005O9tL31e/hsfFyX3LNW79myEc42HGcfIiSQ8N11q2AZSur2y53rLwpniRKi+a3WF/z/uxXMZzUwC+/Czmcel7wWcjBiU8xRCEyfCsQAZOZGS3V/J49/n+85MBZ3HdZ5Jyuri7djtPAAFrY9zn59FxH+s2r3s/IXYabDMx8lLyeNHO3eIFvQvAvfFOG7zI2vpbJFUVqyTwppBABS7fFLehYqKSQCWBN6MEXIP5W4O7cDWrAxzZcNsFiaRQcEqG0T4MwqpyhV4S2ojXTSoxjYZWMHUjrV0NLITH6cq1o7S7q7KeX8GhxoWio0J1hHI0SvNzRFukuZ09wRQWHtY1ra0KpGZi37id3bzOc6LQQ6RcV1QqXrYaPFPnCKCm0qaSdYyr3bCfuVxjk/B7T7fT2nIdkFxLc3Od4FP+ne2Xvh0QYGk5tPNl/wSX9sCj22gIjgZYR0d9ACQ8W8fScYxOWob+8Ama+XLUDzpqckWyuE1LM06gbxs1PrOe05chYGVAW7YpKNf1VkvmjMol/ZScCvgk0Ad1AmBS1rwMMbMSaz9ty7Wio4I/I07WGAPeuwGRWaVnX1zbGNuzwJqgK2TERcv5ndNJX8gMBVgFukzuq6kbsMkagsmB6y8LPkp+gnaUym2rSOv62mTN5RJrLrNspKHCPwxXwufGF+E1K91ubWNyE/mwCHGuSE0ePLeN69ozk/q6gJdJt2/Hl1ZjQeo0+JVSSacs71GAef/5JaLZNrBc9tK3rxxEYKDpMuX5L3+9nS6+rC9mWfrOOm4c1dPPb56O+2XPvY+6pvv+0IIZ48qhxU1YZa3ij7M/4yP1G7bRuUWRYUTzdsb9vFkV7/MhXhVzuM6LYR3STk692qRza2fW92pBo3hGHHrxoUEnTtxqJPjyi6IWc8yOi8knvQvKj+6x/tmJ8n1j2QCwvBsazbzf5TTPenRMJl9KXuI4w6Sae2nKzeuXWrgX6/1y4wTl69diRbmSwOsngdof/Ut/42++fuQrypUEKglUEnjrS+Cb41NprTEIoFYjTH6AFcBJqBt8qbj0sQQ66zy/oNtgBqFqQ14LJYi1jftswbC9nYNgdHvOyLO+KPCalCjHH3pUqDQanYbD2VgHCQkABUocgXY0loFByM9gqE2eilYJJnLI/QyshiheXjQS4TZgdg/L0GF3BguSbq3CpBlcF400quupSlczHRwfRkAebGWpz5qnIW6kbnnhBztJHPsjQJHKHZ9oHCAXgBYaHlV65WMIOlZWUTiGQVbwBH6ub7ScHngqdjFtD8GwMAJe7JPJo8piKNAhGbnOMheIKVvpIboAqVpyTNK3XWVq36wTNChvu0GDr6Bm0SjpkQjAuMPaf62nNSzEPeSAY22aI5CO62c7nbxfp3XC/hh9zkAb6qq1QR/YiyxHsV5VuqHAcpQfO6aM7IMbv/ubjMiTT1myb8qnVHqdGMhyyOsia8d1gvoscU9Ufg11wp8zEvR9iEWojVuh/bM9waD9UdkO+tCORFtaff2lnL2n3kPBy9WdXto+yAB4iS1Gzq2yL6llyrrUKfmRf2XqMR/ycUibO1h+VJz7g1HqY4We72AZR8mfTg+cHqf34xb7zQMmcgoa09fv+HOGyHOjFmt+CYLk2mHumC6yikqLtmMx7mghuzmeu73jVtplHL+S5KPkJJmumo636eQj5XvHiTS3ch1w7lZMs4FIp0ve+vkK1tZ7sFzKex5L+Rk4GWPRqxhXjm0tkg60eIaDPd9veDjgWh4TNjDvViRaO6URQzVIFHRoJyyj8a4Zh/zCwwS55d5KXGacvMuW9qVWLz01c4Zpp+vH7K338uVL+g7rsn1LnWPsfXmD7F+eQlWiksCbRwKv7K3z5uG74qSSQCWBSgJvqAR+d3ghvXt2M70zXckKC63nTegzIHRNpGsut3dygJ9mXRCjEnQcYK7bq0cADJWIJQKedLG4HcZecATsaGfF0K1A/NSpOz/nR+tlDVCI0lEjTP8yrqmAQXUf10nu7R5hHZpJi0tZ6RE4xKw9PwVpJhXAre2jUFxOMIEUVCAFrURWRDl1y42+IHLW9YluCbCQLg4uRTkpSdv9Fo9QbnUvUxGcAEnBIIqXbZdJ9VekbL1QFFX0yBJQCTgjoNGUupbZVQ5ZFtnKSsvh/iq/yAYlslQBpRv7MUK3iaYrXAyLGvqg0SJVhAWEnoS+HZ0HVI/YAoOMY0EojY5ZHBrSkLn8D9fYfdZX5q093MqkjWv0ItZKgeVCcyG6KOgzaS0JpTjqzqTdYxVl/mj3kDWR8rgMAFyYmUtHzBi4L6EDSDfXIXKjaAA/AaZyHqFACzhD4S14PmLMKGuvh/sv57ap66sukgYg0uK6Nd7CwgqgBcDtJ/bnY8ysz7JWluTEgdZLiWTAH9l8SdWuhxTojwFdskwWsDga4EnrbJ+JiuuAZcFDrhUkshwkR6Z92DscpmeIGOuYP7vSTlv77Nm61w+ad51eCMtmtA0tk2vv7qqP02NTawzjQvUVEriGBfNfHy6n++r99Mh83tvS8eJ4Chd5SjmJ4PN7ab+WrgksXzxWzU2laiAh31k3C+rj+llpd7CyCUC9bcUyyZvSupXMh5pbwbOjm7cXNH2H8PzE2JeCT5qTH+ZRisWerp2MuEXy6lXArWPelN81QSHoRlknlyhbXtN7Id5fTvKQcpuexM/Jl/17I1MHa7DbutgVnEiqVEngLSuBCly+ZW9dxXglgUoCb6wEUGQABM3ZJrP32ZqDvhNJRUXX2EO29TMcfy8AR75WQ8EfjVRs2LYEUHZurZ2MnLm5c5gubw+gNcYVKr+KS31KpUYlbgFw2em4HQmghUA+9foouf5yfhErKUrk5uY4tiip17GqzaNwUbHQl0KxOjwwWA+ABU2xAfg9vWRE0lJqgDIAh1uOHOL4O4aGCpzuZItsxXLJtXv0I8AhvKhnDcasPeLYIIql4EngVMOKEpZBy6Lo5vVSFKK/ghI7nsXkOfnUMx1BSFoqerrulqXiYi4CLa4D/lR0dUsT9BjIp1QClbs0Jhn8CoCJRdjItS4DG6N4atErlVVBmi60ytfIsrYbVChbqJrhWhqEKWs911oazEeXUNtUgQ+wV7bPUevmztEuMslKbqi30uTa1mgzHSOn+fpcWFhiX064dk2k0SqzYP5/9t48yrIsq887EfHeizkiI+fMGruaFo0QqOkRLVotoSVAE8iyvfyH15IFWrJsoWV7yZYBLVlC1hJeIASywBJYaAAJMUgCS2IJiUFGMtAYgxpouqlqqpsas7JyinmOFy/8fXvf8yIyq7qqMiszKzPrnsj37r1n2Geffc99uX9377OP48gUlhjAXIiLLEiEAhzryBj/JK6uytyP93AHK6OW1uNjx8tl7hujLgM01E3+Lh5cLOdGz6KM4zLMGHTvDvHWyUZtrwWRsV7Xa8anTE8emyzTV3Vp3S0bvAxxLKaqmHusqco3xg3BpbXt8iKBfKbY+/LcSS2+zFu2KXmBvKvL2/A+Uh49nVuW2DZoQu7zxnfLJYDR8g2WzdrP2/24h9w+vT9RNjbHypdNLac4uA/eM92Wc7Iw36fGmRfDh/2mxDbGvdJoJ4Y7mvaIZqql0rmxtbXPi67mxcrRSjd5fqKLhwN0nfNur+Pz6Bpjn9EDnqWcps5HEy+YeDE1yssH851D+U6I3z3mi+uzc3LDIc+GL5nc4zKe5Wh9+Fvgi8E6fz2vHg/RDV9aQusjEtPcx/oOA74JAiJtrhv4jOcBOTu2NrUSuB8lcGu/PPfjSFueWwm0Emgl8CYl8PzedFkfmw6F/vD/faGJwS32y6kT7PHmNh4oPQl7eKNOtEPPBZTvfGi2nJpnj0IUofnpTnn4RLfMTHZCadcdSuV7FpdBlXgB5dq66+sAVOhHrm9aJ09QpLLTncb9a3wTJYwIsisD3nhjsTLSLEoXelpZWe6XK6ztNPiGm9s/dAKXOlx25+jXz4n5qTLDsRCMY39cTQ3hQHcKU0cPoIJDK/0kgBHERCHEpR9KF+iQ7ctZ/yj/RqtVuUX5A8gZhMNPVqxCh/hQaBCRovT8E0WagnaTlyUxXkHs3sDItLjo8nFNpFDYJMn8j0yQmCn4QzPTmqqdN4AYY0llMmsJaHaRV0OmoUGZwuXz4t4FlDssHCjawV8QrT3YMfSPfLSSGvRH8NzHArzLeR+e93SjppNrRHLVzbgqtHJqV3xzD3O9l1fyNfwgw7BEkReWWkC4dTe2cF3mJlvPuTLBujvp5J9UmoSI4KJcGlyJvrR6urWD3So92zufOAk6tgrLKcq2lSZ5GbIwnaavbVxar61thdKuPI+Ow3bNYOJ0l7cBLy9tx9x+/NxMGefFhn3OTrG+98w0c7pTLi1ulZeubmT/lMmLfJyZ2i9PjOuCLYevTObP8cJhlk/ael9Z50HPEXS8RKCfH1w+WX5rmzXdMWAl7G1o5rsg0Lcrt5DEY/5uHE07uPE7X7vQ3OR8YjJ/547Wudnz82PpDms7n3pffJgimit9OSX8EjjHSyPm5QGfXV7u+Rz4UipfTuXLkPydgkeC9sReuAwknlGfDJnnNzYmYvYS335FP82Vz9vurnvP5jMQ5X7xaN/p5LuBMeTrb308D3e6w5Z+K4E7JAF+QtrUSqCVQCuBVgJvRAKbAClespdpProtHr7dVnlx/zkU/QkUIALfjA4Aibix7WJBUqdZmGOLC5TsqKg2Q4MJAkucJ0jPHoqcSkWXiupTy4DKq6u7WAdUMrBUTeICu4bb7TYWMlxpp3kj3x9jXdHsShkH8G6xjnIJ0rN4bBrgZgPXqvV1wR17Vk6zVg5r6WQvIdjeqFGHKEKRWceyFVCu0a5G6YvVcFju2M/QAfEPzmA1FcsEIvIkl4IgvlHG0hjp2HS1TWCaIfXJIEkqk2/jUxH02rPANl5AbFgtrqMHz7I/CkeQX4BrWhq4xzYJW2yJ9YN8eQlrK5ufh6sgMnXkA/dEARCHkinf/Jm0mIxi/ZN5/0wC0n34vNi/xD3GQgPkls+TncnkpakXlTlfHayV1f20WioPU1CHvxitR4QgvfkBAW5YC1mVR3l0HkUb6jmmSMFKcpRckSudps4me04aVCj3x8SCCRBc3tlkPR77YwK+NwdbwTv2yrLDXFkqy7xH6JXZkZlwkQ0FPfpCbijqyqULaAyFnXxlpgXL7UQuXDN/UJ67tMoLCl4+MP+CT9oc8pZsOy4VdNPxOUBv9JFl5uqGffZYp1xeASCxD6Zz49TCVLxwyVqlfGAeSyxz+FfXxssuPJgEk4/1uBccP59tS/aZ25/YIkAWc9b0KdZq7jV1I+Nt8KVsfm53ruyOrpfP6/Fjwd3I+c0cQmyC0FtJYRH0vjnpeX60pPkeZnbGtdrk8a/Xu0XiRxj6neNLcpw8R77urXv8thIZmbm9v5+/T7qmO6dNXcq00AoAu70J5o17+cILE8mlCZg/YZmjEyuzG8r5u2BmnaMerRYDilqCagbaJIuqDB8dXSqfLuliXsvvxHEcue5oySWAG09Zm1oJ3JcSaMHlfXnbWqZbCbQSeKsk8MnthfKRSd5shxIEwORYgUryZIAUFCECAM3jBmmEVcvTpTAVHjWaCQDNNuuHeihvXdZYNlpOkDhOBFctBJeWif7JfpRdggHVFAFbgIAqRGu9a+WRM+fK0kWsCWxRorduKk5AQoDCqWPjgFpC74/tlw02KbePfSIzBr8Hukfyh4I1TuCPtFbq0rvLesvZssa6Q8uoEgqWawJdi2VeWBLMj3LzkjvOoo/uGO5tgDNdZGN9X2pwwbPKnaNJSJCWslQOs8Q+IoWoUhEMuohUV9wOwEZe3NdO+mHRsN9gVAUy+QlLn+7AR3z7ugAwXUiHqWkWA6A/L+VFBZ0eoj+wdlnf28AKiWV65ESM2XJ5chzLgxX2IVwPksphn68ue3HW8blazIpe7+/vleWRlVCUp1iDaZHzQktN9C3vQYkm5terOE/+5DXuAccd7qFALtxkUahnOtNYciYi6NI64FLgfYB1Rz63R7bKJi8Ntllba6TZKRTzbSaMZdIQ4CozLaKmytPJuYmygNX9yspWuby8XpbX5phX07wQwY3xiGxtE3xx3AHYw17MQfMT8EQFKxHh1DWY3fIyLtsXsWBafnphcljfNu57OUHdS7ygeUePda88U2dYj5my5yUGsP390wkElNlTG7kW1rZvpyT4+cWdmXJpr1t+W2e7PERQpHC79kWKz0ydiDcpFIP2ECyZIGIG+MEzgxdnJi2abj3yZhPQcUgi5gczkWkQyTkY66bJcE7psup2RD4RvuwRTnrP9wCYB/x2dju8HOK3QFBpiX4N1vXPp7TSrR3qiTDAA8IkHbt1vpo83lhfN93P614tz24dL/3uLQo0yb/uN5ia33x+N33h+DZ7WfK6wmkr3DcSaMHlfXOrWkZbCbQSuBckcHUwXv7tysOsd3omFF01k3iprnIy1FRSoVZBT1CJQkK9RneiImcoDlOTYyj4KEiNZhP6DedGaZxnDaURNS9cI9DObipiYCOsd/tlex+QwN8A7XEK97SpsxPlyrU+tFDKaDs13sX9FgfCqe2yNe7avaCc4mv4nCuzpYNm+uzu80SVTN4f7T0aCpoK6dneWQL6XARE7IRCZ2MtZQHqKB+6vR4OKsCe2ll9259AgPFE90cEoNJYpeF4uQ6VjYaqhcpsyLH0vbC59QCVnqtCxn528BTKKXUcp7Ic7o2Hcj3Ywa3YfTsRXlg0HMiRJGnbRb8cg7jf9ossxxAGS2bLQ91zZDSsyEtURQEngI5V8xIFlxP7gY0gVUcSazGtyH2/trMI72z9AsjjZmc0WeUmHeXB0XRl/1o53UlrSZaR2dCNDhwrVkfn0OQEFkVksTNw45xueTj4HSkv9V8K10HnouPZJBrw5v5GuQqgfHTi4XAxlFH5Dasl+aGUO0AymYLl8TPzWNJzn8rfeukawNQXKMmllqSa6jzWhdZSLWCmvG+CWJkPseAqW8pjp3vlmUvb5QLuscr7DBbMuJdRq5R3T+2Vdxe2gGmuPdQ+jmSVf/DCTOlPHq11tPTtcf4sv0vP7/TKV3WXyzFeJj1BhNMLvDR6hgizt5J8b+C2GL0KJBGvYNP7pJfFm02/g0A+7nHpawJnRDxvecYUd506LxQmpvDW2CQ3fyOc+74ACes9uUzVsGByCsDsRlm4bEvBCR3zT16Z33QQeeRbdF26ISMuaeZc7HWUXzb4ymPPx2+bENZ9kH9s/ZHryNyOCwGlz1YF9reDZkujlcDdlkC7FcndlnjbXyuBVgL3vQQMqrHLWsozHdc8ouGQVI6qO1aEyUcrn+xMhPumZSrsUYmLuM4vlKJcF5RuX4dlodjwlnyKsIFbKHkqVAsE5Dk1O1tOTh4vH9v9RPR3rnsKSwJRTKdxf5xaKU+cOVHGF7BeTAAq6TKte7i1EYxn+gDlHZy61F8q6/trZXkf30T0Jq1tcrjUX441eu4jqYupwXNwvqUsAY/gQHfXcDeFdlW6YnQ5SDOJdoirKWDGrNwuISpHmWJwLLq2CSjrfpjCS+nHOkgqaXkVZCrTsO5x1IIRgKVRDpV8cs6xAUM5lrR2RB/ch7B20tb6sR8nWqkKrP8S+MCJLPIZ3icurWBNLXsnx0/EmFRQrbNPf8pvlz9p+MkW4seklzkSzUAi2aGgaxT5G5GW+aHzGzT3sICHtRCeWE0LKHw56MwQXMkxHvmSXND0pPar7DqMUbfk6pa6hruuvDof97j/yttr/1nv2t5i2YF/9/IMm499Y8HMe5fKuPTnpicI6rNT1rexpPOiY4Fox66b9CWI9ykYYgwV+BkR1sdiYbYXY5CGY6jlgtjkvcS6zO3dQbm2yksUrFO698Y2GI4t+OXrs6RtUP+/eWayrBBBuU3IF5k9tTdZHsPKOErQrct97vHg1mQjwNEF362OXNft/XKvU8FmfWlwqzKfAFS6/cgMkamda86LtLB7x52e+ec8jt9UePF3zN/IqOHciE/W9gWLreLFk1mRkpbPVtBv3gDu4i2i5VJ6QaNpJx+moYs41lBfAB1NY+zD2lDlt/GgnB7bKkused2N572WHG1x8+dy4TIJHQgM8MMw29RK4L6TQAsu77tb1jLcSqCVwFsvAd1LO+UYe7T1CNhiQofB/VRlwI8aAe5jbGehVi2YUjHaJTKoAVNCuY5GumfZ0PYcSdHW9s2nC8CcZp2axbon9lBwXJP06d1nQ2G/SHTQWfZl1Io3PzGDooOrI+DwAAVlZ5BukwK4DVw71/trYbmKfrI7ewwAoKupoMjAOSv9lbKFBSyscuQlqAOcaSqgnWAttKxgsyp6jtmPIBtF1EiPzTAS7HjBP0EgRwHqfmMKCflA2/WPKneh/AWlBOzKRJo9o7vSNmTTlMuQfwFADRxDPf/CstpUDfdN2jlklWb5sY4yp3oquE1dZauwLZMv/45158v8+FzQtHvT4v4ya1OxqpARtMg7BNLy2/BiB5Hos+Gt7lepm6r7aHZHMoiTc2QNwKqrra59ulQLLjPlDQtyfBlwJJXmZuwV6FHZ+wXruDrj/srenOMj4xHhd9e56nhZryrPfVwDDZbkvBBEb/dZx4YlqSra0vdceU2zLcmlpS1A6oAtRVgTyRyYZG7alyNMWXnEBRcAuoXFeIoAVeYLSMep6wjk3/lfpSKQNGKx/C6zVUnuiSk31musVFzEuMmLxIXtP7PZLZ8ievM+Y2/ToQR+cxtguctLKfe0DfB/WPaGzxCpAIefOe4/rXjwjHEj2BzevDdMLCvO4HL/rs4iW6msl3PdDG4Vv5cQzN+W5kZ7f/1wX51/PtsCPV9R+Fzlc2sd6fLF5IkAPFyFZwX1LHIOWR7VmivnXqxxJtP8pEF9fv+sab/x8qxp5SHaN/lRJ8nybDGP1w/KlTHWZCchS95cgo7vXlyG3dVDgOejTa0E7jcJXP9a5n7jvuW3lUArgVYCb5EE1g7YomHQY//CRvkIxQRFqFHmXCO0hnVqHAuCeo0gJTToRgnZQ0kaZ92lelvNV41QIQp1Qm27SZOAy3ME5QkARZ57Gx5N7+w9HgrXy3tXcHkkSIptBZhRyXNOyEseshdD9MNt1omKUZotYEpgOs7b+1H8PBMwGzTGdaK5lYVUVMSyjzxP42GCEQGuQHG8yxpA/mJvOVmhYbRVIbQ3gK+g0qTVLLi0jPWS9ksMJQAhih+NtDZonROEBZhxnLZwbJSrWLpliX/VOiZd16mqMFoWsBJisU0B9yqtHpKhFQwJbFO5pJ1t4WnaPSrRsO1Ty8Kl/asN8Ka82XokVFjo7zbbIejSLPDqEHBEfkzW0bo0En0A0BmPa1vdWsF1kJd4UbBHpNlUnrP/bGdjpdbIjnO3ZalJQKxsBNRaEr0vWsSdJ7oLjjFXjbI75lwMXrxv3ldoetPga509ORcOjkUHsY7Vecx4HbdzeoYoxu88P1+efH6xbOJ+/dQLi2V9a6Y8cZYtViav30xxfqZX1tiq4mXWU+qqbQ8n58dxe50McOA8HibOxwnCcvb4OOsup2P7kouLm2UUIBvznaphxUaeXhMDK4DuPnL1+fuq45vln69Ml/O4i8+ODcqndhzj2zv5LFzWGs16RM9vNfmeRaOg88R1lzElboHe2bGN8vm46xrqawqrpfTiz+cb5sICrh8u88017HaRczM5H76wYwGoLxxGmctUPUzQ85nZMxiPc6SbrsBJh6wAaNbhPKhn0yDBl21H+dhn/H5bfHScwW+TdTSfao8ubJYnWYffN0LabUqud/U51S05t365TYRbMq0E7pIEWnB5lwTddtNKoJXAgyYBt5wQapBQPlQ99gk2YRTO6jbWJ+DKNtanyTH2SFRTs1ZoOKkMCdR6bpCp8kJ+Ao9DKKKCIV3/HX2DHQEpoixIxtcK0Uo3AbMBtGggIBMtufG4dARbbhViMtKqwFLClpqy16xrpmBFWlpWBZgma0+wlYVdv5rSmgph0uwwJvenNPUAqQco/tEZtNEpUVbRWqGzt4e7phnWA7zKR44hsqKJkNAOXYellS8C+lBP6542rvyrI7ED/kmTo5QHANgRAsI4/hHBMhaRcIvj2HHPTv5M9itAG0Epp2a0HUXpHR9juweqbBxsAGhWm7pYolFyk3P7c9woy7SXzh6y1z14xAA6zVYhykx1egBvAkxda+VxeWQVWruxhlZWcjq5nnOnPN+/EP1RLQo8njg4jqKeymxYZekv5gT3KoSKVARiuR7S9WGsveVPkJayim5jPanuzw5CgItkg3f5dz7qMqsle25ktrzo2s1Z+j6F+/Q1FflBeZbosetsgfO+d53nRQngIMYnGGTN7vGJcvHaFlvejJcNglJBLp6LOg6HY4prjpM8Byr2n/voPHvAbrHtCRFhARLulRpraOlP3te5vrqSgYgWZjfZEmO6/OkTaQn9ZaLLChJumxUpOLx/vwZv0qLr2kr3oIwj77OmfZP2BhKrH7GWD8oX9q6Ws7iOOqedmTEJvONec+ApbKhpodMzYj+2EKkvm67vit+eqal4vnzhkb9P0JCck4uk9TE8BuLCL/LjGcs+B/x+7O1tWzBs43k8b5KgmhceXi1FJFvneSRr0QgZf7b6TcWbPkQXEN3b4Tk07tft7uCmOWobtBK4OQm04PLm5NXWbiXQSqCVQCMB1jftniiDTr8c390kUqdbAahrpOUo1Z3c+3CHoC+urYvtM6gTbp8oDOoMgpEItpJXkrghVa0ns21zcXA5LrIPDWAAHSxeCXBQduBBcHHA2/QAE/Thvm+5jxz5YygtKI66miW/uGEJTBorVhCnI8GRli/5HXHrjyMpVarkIBVF9TK5E0Sk9dKoqQFUVHKpKi9ZI78tk4L8h3UiWss/J02Z5aE8wpuAWNdTAabUrCfuFcMOQR7nFjj+PM3jAOCvxFM28Mfi00YnlRSJL9qotGpRdEx+jo8tIFuUUvaoXBnkpvUBdikL2Q2JJA1dd3fct4GUMjLoSF7HCwbbIY94kRD8YB1ibEayRQxpvZUH21O3GcaQGllYOC+Xk6OsrdXtupEoJ6RsZ17IRN5oMIlr7BSuexdph1MgWQ19lHHvqm6lUweTZQu3RWWte7R/i4OlMk0798lUnqNaGM8DMmZHypWXCSzFmrwrK9vl5z75QvmCx0/H3qn1BYbWdve0dPudz1xcZx45JwG30HcMplgTCw+xVpSXL94b59opLJgnj01yG7gPyEJw6VAck8GtNlj7ubrRL6ubu2X1+d3y6JkZrKe98t6Z7fLMXqcsMu8XeJkxjlwv93OtbXT4Gl/HmVLzjE95gKcA1biAcqHRy5cki1juVtPA/hpUHqwiLZWRkIfRS2Orj9cY4vFRIk0TlfoMlsqHAJX5uwaR4T1v7jxzKX6rOPoL4GzMEp8/nsvIIdeCYfJpohZMOT/jN8wczv39iAliXapETR8c+yFLMgLWmNtYvOvWP7WD+gKuaZ5EvIh0HRNNXtLd3O2UX149UbZZFx8dNaVv+sDzqPVSmbv+ssO8bFMrgftJAu2ay/vpbrW8thJoJXBPSUDLACseCezCNgq8qZ9zvSN5KjUqOyrGuk2qVE/2JsN6mUrV4TrGXKenRS0VlqoQpbLSKBXSI/ltIJYd9qo81zkdtB/vEfET8LqJVU3LmYBujI9gIGh65BMKG8d4648yporfZd2cypmWwFDQoheUeZW1oWYHVRS64Js2kBh+6hv1hsusY3/S4biPZU/6XgdwsNdor8usCmF2o9LnX7azMYkLQVis6ZOmH2XEx7qVwyShdZW6jMN6Nha0B/jjPPPojvsBOxBOOUR/1uakjo/LtHBGZgLfDVxGt1kfKSCk6VCuAbjUwMkMeTd9e+6YgrAEmxSutb5MCNoyAm98pxzlM8csQBNkmXH4l+Rsq+xYLRnAL8bs/eGjW7DlKc0Ub+VrjfmxyTiijH5CZbZz2NCiuUtwle3BZtkBYG5js9zi433fNwIU6ehcmiMS8fScLxCwbrIfpVuPGE3WgC/H53R9lTCWZq6vrm6XtY29cozgPpOs2zS5Pc0YLy3G2ey+NzFRLl++Up6/cKEsLS9jGT0ZLz2iojKEU8nl/cWFFkV+bor9OvnMTDrXR8vyxi5bpOCuTf2TIMJn+93yeWzJ8T62KjnXHZTf2uE9uiy9RnqMfQXPY/0fWXypnDt5nJdFWGnxBBhceb6cX5jjHvmipgDSWQuHzND5U4avQfNBKHL934BtTQQ5U9PO2VdPWrrf2VkrXzC5xBpwnnvnI/PY++ZzGM8I57qoHs6lRobNffYeaR0016z4XeBEuZs36gsIX3s0NOOZjblhnr9jzRErqNd17u/jJSEt51H+RuQ4krITI/vLgEDwZ1aTsu+8sD9fiPhM8hSXX7+2UF7i5cvBHVgXKQ9bm7wUBGS2rrH1brTH+0UCreXyfrlTLZ+tBFoJ3LMSWAU4frI8VJ46wKyDkWpic698TuflcmJ8GcVjn/0uj6VCoqKkksNIAnSprBCQRKUlkkfKh8nsBsF5Wi0858rp8hNr/w8Kbr+8u/eusGSp8Kgy6eaoa+AY7rgBM6CZkVQpx41X65mRSVNVHvYUm5EbUVQt3I3Jd9mCRKUrPvLtH5Yg+0kA0+jrMCYwFTjF2iaayKsJnZSgNHme4ACrAW6WNSkLNTktVJBON9GmMIL3kBcKZqP8CbgGyEOSKq491qyaDhhrqIsUCDqllbW8aM4aPlz7qYyrzEPkw9pZqc962XGDzPAncDc5cvuo903w2kdp1SLcQdkN+cR45I19+eyHlGpsnAZvnkU77oMy0UVW25oe1mA17pG2s4x2Kxi2rjw6IpP7/F2XmnGZl/XiDBJ5TyDJPRhh3SjWS/ZdvdB/kbKUiU2Vwz6KuMrACK6pe1hZa759BiCuY4HfMS2s5E8RnfjRd3gP9srLF3C8ZfuRpy9cA+Rtlfe/+6Fwm33x8ibzaB8X2UkizuY6uOCOPrXUCj7/6jf9r+XTTz8d60O91ydOnCj/9Z/6U+VD739/uBbDgE2GqQ5XkDnB5xiuuor9ItuZXLy2CfjcZduY/fLe42l1PDaObNn7MwY4pPLKE41DFz/zVPl7f/Nby1/5u9/PczJerr3wXPnrf/nryl/9W99dHj33SJlffjGsXuPnnyif3ijlmlGcX0nqgcnxtZDy9vnkpr9m8sXLk/358vTqXDm7zBx49FqsszbQmETGKI+TIRWeGGia63yKDpo+zM8gXOaTODhP44ovn4l4+ZI5TX7WjVrWIViYz6TPZ/zODAkxFchzzbVb3mZgrDzusKXPOM9AWDKTXG0VR5+FPaLNWrTHy4bnxonkzDNxJ5J7wTq3BPfyX3+v7kRfLc1WArdbAi24vN0Sbem1Emgl8LaUAPZJwBFDB+/sovR+rDwecvgvOs/HW/RwEQslTZUHZcY1kFqaXlU5AYA1gWLKgJ3mCfoy1nsMcDlVfnHrV8rlvasR1fM9478dd71r1EUNQflSwROlCOoGQxDXAE2Vs/hEVRQWqsJH/XimxbO/n+CvN9aL9XYqXwGAHFuTHEGj6qXi59h1y6XjiETa9GNk1qoU5ahd40hYD8bWQ8Hb2U8AWwFkMCMfATxCq6pZebR/FS0O8tXvpytyDwsYwqSO1ksrJdgbKqRmmRhs8AMBV51WYBDrXQ97iDFZ3bqHwJzmXEfnMuCHNLS0eAF999NUNkZTDSDb1EvyVMh/seZUvpNdeBe4MzZtyqHcOk4G06VP1/JGQyk7X2D8dOcUFj6tM0HB3qML3QpTFsoIgIk74EBLTmPNeaTzCFbuLaLdLkKGFwJOBPuErKRlN+8t3/IKwK3KufLtQscCMZ9SPnO+g0KOq+5FLJ9YMS+vbJZffPLF8t7POYdrK9FqicAzg5UxatNohzW2Pgu6ZP/ov/jR8txzz5Vv+qa/Vh577LGyurpW/uW//JcRFVjnSOWvhTPGHHxq9cz1pEMrLfkCjUfPzZfTJ+fKyjoAYWO9XFnu4KY7CQDtYE1jXStvOXYUI2kKzcegpyZ2QSFabgLRzMlvqx5/5LHyF/76d5SF0+d4aVPKR3/yX5enPvnr5c9+y98hgvABa6mVFm7Hvg8gbVJpDffZNY7g5vs+OSdiejGeRvyvOab6G/jcwkx5fmWmvLuzVD53fCksiD4XzjMtihI7FI8yzCtf2JjM8QVY15dHzW+Iec6HdG+1njnmNbxBsz7bltU56xr4ep71fbGR89H17gEYd9kzGJLWc+lAhzXilVb0YidH0hr7if7M9uMFT/I7lpT9FNu+9JlPA/5j4XFpUyuB+0YC7XS9b25Vy2grgVYC96MEVGTUTVRPRlDMBZUqMX4ESMCDAAPlYFmVKPUsg8ZglRRFrG5PlDnc/zojBFTBAnMeQOqKy8/vnsUNd4aokFehQzsU/nBHpKMxNROo+e2plkXBlC6mWuJGCaEfST7ow6ApplDCYDbBFkqYwW60gDXtrW3N2OpE5OG5f/Rh37oAh0UBAFnLImCM9YIZXUJtYzrSZ/CRMokesJRJL2tE5fjKduZbl6zMKLvbrGkFaBnlVVdlI+EGnajSVDpCLHlOS6Rj3hOABUEqUd397PrwMMY6wQooQ8RSpTxkymLPcBlNfRjp2o/KoJbG7LMeKy8OIthoeBd8akGxXYwKmQbAjKMdUeRY0Hy5BZG0Xs+PzWEJahCNuY6Blwkb/Q22LpmNQD2Oy4iyeyrLWKJHiNKppVSF2q1J5kfmw/Ltticp0aE4Q7by4Z6hEXU3u457a94IdL39AaC4njs2yp58RLt9aa8sLw/KIi6yv/KZi+XzHj05BJYOZhdgKV81Muev/uqvli/6oveUxx99LJ6LGaLO/ok//scdUOx76P2kenn+xRej3bkzZ8Lyrni1DC+vrpYzp04hc+Y0Lys2l6/iKjtRTiwcj0BDKxvb5YULi+VUd6qcO4s1lacg8CDu2isXXoiXJnOnz5YNAi4JNjFGDpP3u0P+xMwMSj6RaVeWAvBYYfvSC+VdZ86WPea5z97KS9CC54cferxcwdD9IjFjFl24+QCkBgvGfbiZ4WiJf3KwUHxX9fndReZhvrRyvntP43fAZ5yLkBRf+aKGXsj3CRJIdn1xFNe6g/OcigKjNLmRVj4o8RhQNZ+9+sx5FVXqNxcGEbOegFew2+tN8KJK2r6w6vPx94TtgXhemO12T0qePPu1jdPlYMazO5vGJ0fL2qq/z/wM3NmuWuqtBG6rBFpweVvF2RJrJdBKoJXA9RIIBQVkoJJiIAoxQUS/xP1QxUol56mtOYKtnA0Nwq03yui5Rn8iUM8+69KItvnHup9Eod8CXHawBp0q8+x/iLrbaFQeEgxoaRA2qRaNUjfWHcWVShaBYwQr1NUy4LX1/HdUeQptSvQAijKQT9RRwTKvoZUqnO3MER/TcZNQh8iEBxW41MyixGtVwxh39E7/WiZoKtCSel0rJYCLDI5VratZQaz5CkDNuUr+AYqh3XXVOAFhB9AcsBZWMPzZUsjB+ikEeEm+99mCZBTrbQzOUkhYK77F5rRx/ZbvBkwxNl4cyIfuxzUlJoQ3+0gCtQgA6wsEXfcAKY7ScvpxvEOZ1zbNECRzrDOfNYKmd1EL3G5ZOlhhXeVWOdc7TzngCBmo0tf9NwmYGy8KdI3uj/XLZn+TfuOOBA37l3/7jm/oq8w7NpN6vS8aRjTRN3yF+zX3EPxWHn7UebdTFpcG5RoRX3/l05fKF7zjoJw/MRsA3nlvUhZ+zp0/Vz75yd8oVxcXAyTaVwUQHaxWzz7/QvnWv/E3yuam7q69WJP5Z7/2z5SPfPh3l1+n3bd9+7eV7/nu/zOsxPL+F//SXyp/9Ku+qnzlV35l+Zmf+XflH//jf1ympqYDMMwfO1b+/P/858uFxfXyd//W34gtZkawUC0tLZY//T9+fXn3+39XudLIWB51514CgP7vf+Ubyrd853eVT/7SL5XPfOrJ8sLzz5Xv+45vLX/qa/+7MjE9U77jm/9aWWGtqC8Azp0/X776676x7I/PAi6lcv+nLoLY5mZnUCXX9N7cmH6zv8C2Rp3yRb1L0bBPQCanjiDT35aYaf4AxJmzzpTfzpHYRogXB4frJimDwPD3IahFo+E8tYKur1GPrzF/f5v5GsF8aByBpxhM9MT8ja2KBkI4tycyUrEv4SauG6/8XFyZLBsC3ruQMNqHKAzsM4Lf9mv8jN0FbtouWgm8cQm04PKNy6qt2UqglUArgZuWwA8tny7vxyr50MxW6QEmdGNUsdLla2cbtQ2FZRlwcakzfUhbRahRhgK8oJN/z9IHyheOXSzvn7tQFogSukb0Ui0tXRRk4CLKELtJuv8b4EDw4NrAmiopFSn776m1NFpiKF0UhJJFeQUSkRNoxzP+VMSOapbRJluZfbRMa19A0oYHIUdNqm8HoBzfxtc2QbsxkcS5fdnAr6bpkAKDUQWNPmtx1KcGNMV1WiIjCAbn4daZLaJ2kkz45FYwmVJCDaSKLC0mDr96J9d6yiusix6hi7iRKaUeAZtu2+AYgkfyLBBSNaKM+x3rGtUU+acFboSgOSq7Wc98OMmDBCLFfeKMbLuKowXm62Z8hb03ve9uH3Jln2iyY6cCKHe411oflZdJZV03572RPSyvg4y8C5FdLJ8pq6xndYF3cycyk2/nq733WCt8Y+oS6ebxJ1i3+enNsrbC3plsU/ILv/Fi+cInTpfzrLtsWAgrsSDyP/1jf6z8/M9/tPyZr/1arH4PBTj74g99qPzuL/mSID2BJfMjH/lI+QNf/uVhcf2n/+yflb/7PX+vfPjDH45y158afKrTgPklQKrJ/VK/67u+q3zN13x1+YN/4A+UxeX18uRTT5WTJ86W5c0Xy+/7si8vX/UVX1ZexBPgX//APyz/7Hu/p/xvH/xdQ/6CSPMVFi0k/v7f9xW48D7L0EfKf/uXv7mcn59mPeY3hMy/DtdZLcTfCRD9iR/8B+VLv+Z/OErivj53HvJTFcltSXq4at5sen5/tnRZk/uFUys8IzwbzKH8xIyPF0zK1d9E1zQ6w3O+aq1MTw/nXDxXdfLHPDzKSfIlXev5kipejHhXeS61ttcmPud2EM+3dKnr0yc3vujRpV0re59151326dUynp4Npax0j5UdXtDdjaQM3NfV/S4nJuMX5W502/bRSuBNS+BQ+3jTpFoCrQRaCbQSaCVwowT2eOP8C72F8i/Wz5ZniSp7ia0SqtI+QaTM0GhVmF4n6e75qwQM+tj2+fLsDm5/QEoVf2FMwI3QxlSq0hoQCholqlypdjUdqFTx6Q0VpNp5KlwqXSpm4WaK5UtXWj/m2S4/0qznHnPtX6z/g0xsiym55lyrpAE24iNgob4BPnoT40Gvy/YdE5wrDwP5xFpC1xP6Ydx+hn3HeQK6mqfLndt9+KlrBAO0wbfgXJtoKJQhq0YOHIxWmvRdr0lCUAL/AOdkhKI6VIShgPZZgaVuxh22RInovHEvcHlGgRXYqhD70c1OhbYCSztQRuPsFTo5QYCdiSk+k/GCwLJQdrUMglgPFXDPZS7zjo8uENV1p2xgoRQQakmUr4WRhejfmn3A5pLbpjAeZYTI4siXxdEmrYgxyKDvvpmuh7UGnEQ92zance2XvPRwlz6aoppV42S0nHtotMwvoAw3GsZvvnitXF7GSpoDibH5DJw+fbp87z/8B+Xrv+7rygc++MF4Lr7+G76h/O3v/u6gdZrIsVoi19bXy9WrV8ujjzxcdnghsEvbmkLmXIe8amYMCyvTSxfLhQsvcZ8G5Uu++IOABaIs40b7pb/v95drS8tld/lKeeKJd5bNDXjjfr1aUhKztN+OBdVZYzA+VVa2dsr/9wsfLb/3D31l2Zg6XvYXzpWP/P6vKL9MnkFVHyTlqsdLAz0EBDnK+WaTAPUz+8fKp3eJukt7n1Emg1M6ngcmLte4wvPb1cVtu65Dz3nlHfDzKukIL9Y9mg75FJSZnNWHlXKukkNDnhD4yN84n09/n3pdf5uIosx6zGpx72OBXT8g4M9durny5jYkfUMTi3zb1ErgPpHA3Xn9cp8Io2WzlUArgVYCd0oC/d5o+eje8TIF4DjPG/H3TG2hhLIlgwBI78g3mD6281DpANa+sLxUThIwIxSmBr0YQMftPw5QilDh1PZTnUKnUh+qapY6Wa6PrGpbuj5a2z8DAmltVCmsqQIklTaVHtdWZqAZKvHPa7ID4KiUmSq9ODdPxdKP1jrBKhqToHWY4EsuPfjdxRJXr20b+hWFWQMeoCO4sP9oFF+UMoB91qxGEJsAqBQ3Cq08HU0RaATaEpfuoZsttMlO8J4tjrbVJTYU2OCHttBw7apyAI4nIKY1MPoIf5wqJBLN4lMvUG+bPJRJY/5CKyQjfccuj/xbY3sM900VMAsIT4ycCDfcDv7UrpEF1kZ/u1i22awkgpfs0Va+ltlqo0/gpYnBBPeYPDpo2IkTtwixcSjcFKhoKxM79s/7Khg3DdtF/cghM3kcn+iUk6eZ1PS7AsbdxhXyMxdXygRWIbcRMd/75po6ab7vi76ovP+97xVpFC2X/8ff/tvlT37NV5fncYv9tm//9nL8+EIAD3tJmcvT9Sm3z8k8I43+L3/xL5Z/8gM/UH6FdZ261U5iBf3Gb/zGAJzf8Z3fWU4CMjvMDQcygmxeLTl677+Bem5MuZ0K26LMH4t9MH1WZo8dLxsb+hO8kr8b299X14hpfILtSAgusw/IjsfyJgegN8NTu/Plc7orcf9jnvHsx7w6Qsvfw5GRXqy/9HmrvyVHquSzfJ2MnZM5L+tLgrTC532QhvMm5o6/bMyz+pxL1368f873sF/ajI/r5V1DHb+ptN846JbLg3mb3LVUPSE06PIeqk2tBO4LCbTg8r64TS2TrQRaCTwoEtgElHzmYKr8dvbEnMEicmlzplzYRms44hX7emPtoxT/2s758rmAq3Oj18KdbARaAQlR8GN/SdYLJjBKpStVKL9R7Ie6mKpdVcvy5bjqXgAdlS1qmwyAkUp9XEYuutbwImvxLSARTEVKBU4lTyueFkE5lI7Awj3pdJ3FYTP+gmgSatqr2OdaKLm03Rh9JscS4oMiuhNudNmkshSFaIt9LJluLSBocQN4FUUtfSqRR5NADcZj3IJeQaIWStlJ2JGUxVWZa+uGWQ7WrSnO+HKdZ4BwW0Rm1nccceaXGm2kw/YqwmE/pNFuszVMjLmpsn1w6Mq7C1AUTBrcR6C5UI6Va6zEjcS9WBwslXNjZ9lqZKQs7a2W1cFaKM9GixVgaqmMccBGKNjy2pzHWlTlQnJ4cWYZ/KVlqfI+JBEntpeIrpSnzmDt2hmUra2RssJelJ+6sFTe88RJXP1wPURx1wI5w5pIk1Ze78AprJXKaBdr9I/8yI9gWXyifB1rJXXl/vlf+IXy7X/zb0Z9ZRsWYl2g6czz4Jm2tv/QBz5QPvC+90W+ls+v/wt/ofz4j/94efrpp8t7AbL/5X/1J2Ms//EXP1q+//u/j+i7/fJkUM4v97Icc8KRNvaxZB2ZMg5xHP67BPxZuna1PPK51CVz6erlcuL4iXA7rjMnCDwAX3Pzo+XKJWXsuu0EYzc7rH5j8lOq8QKjEuBexv1kDjgPfQYNPGWAH/OdfPkM8M2z2czG2po6nvI7g5u0XhK2cQ74F+094zcnf8cG/Cbgos08tjxb5tHz7K/mywvEm3cPs6Nb5dGxq+UZtoK6W4n3MfBUXWNjoHer67afVgK3LIEjP5e3TKNt2EqglUArgVYCNyGBh9kb8FhsKI/Sjfaw9xqbk382ssaZ3eZNuiq5roL77M0oiAmlqSpXjYJ1PQ0BIEoKCpyaFkUiAABAAElEQVRbXYTlkKNKVIe8BF4o7ij3rg3UlTWAUqp9qeiF7nWokB2lr3Lmn33QfQAIrQm572O2OVTqsqVWJ5XBmoKGAJAslclwWWtAjWU1gqv13esyPri4GvRFTSwUROtRHnQ5USfV/ZbsAJhAXMq1U8hNKqGxtx71wvWVtqnHUkqeH62HUq1uoap616l7UREwrrsqymwEGYJI8gAB2prym5MhgTyRN/M8mDo3uJ+aV6nYlUxdHlwpY4Q6DVdmQOaZ0VP0n9FkHN+F/ZciOk1EtmWCSDtHLLVMykuLZAScanqXf2Uf42juT/bJ+Fgv6T0eJngZjolMxyFN8Fc5c24Q68Wse211uzz5/GJYMq30Ld/y18s3ffM3E5znk+XKtcXy5JNPle/7vn9U3vnOd5aTJ08GIV2dV5ZXyjXWU/7axz9eVlZWoq+HHjpf1gGNP/FTP102WLv8Mz/z78vly8RRhu7q2lr51m/7tvLxT3yibFK2uLTENilbZZbIr6bt7Z2yt7VR+ltr5dc/8fGyRn3B6UksrjvbW+Xybz1VFnZWymwDLqvMx7F+rhOhdvvqS2WKsg9+8EPl//7X/6qMXH6+7L746fKzP/2T5X2/68NYOpX8g5W8n1ovd3ea+XwLw4vZhzD9jYrfHWj64scUFn9/k8jzT6BovYGAUdBJfsy/62ZaZSLLKqA8zE1a9hBnnNQ68QxAMK6bo7X0dujhnu/RPsP7AT7yGR6U6f526caLkNrLnT36XPJeDqDts3hn+2qptxK4XRIY+4r//i//ldtFrKXTSqCVQCuBVgKvL4FjLEp8fByFCcvRT15lI242zL6VtFkmyunRJaxWCc4EArp7hcsXJFWO0Jc8CfIqWKZUlgVtrn0UUAoucOXk6Jt/wWBV8uLYtI/GDQX1nKBDWXZhv0LKpg+AiRFXq2KePKkEotDBp2BWw521VexVHAV6tX3t3+5q9xGdNchnrVrbthLINslDbe96qYgESTvBYrh1cq7rMBdxbd2Oa1AtB6CF8isnyiaOKVPHl9T5lobMxQjyEOsfdbGkMLcKsYYM8yHPNnlNvtde1vbN+bBKXPMFvXQ/rv2pEJuttCRDNM/R7TLRmWQblkG5uHsxrMTuI2mZ/awfrBMdNjVTrUIhK5VWLIgq+daryrb3wjmg22cq3vLgB/lGm7RMx72wwDJTMBUnEWRHYKqlmGkF6D/gBQj3uW+QH7ZM2eljsZwo73ziHeXJ3/hk+cEf+qFisJ6f/+hHy+PveEf5n/7cnwvL1UMPP1x++qd+qvy9v//3y7/6sR8rZ8+eDRfXP/KH/0iZnWWLkMmp8kO0/Sc/8IPskblajhER9t3vfnf5HMDpxz72saD7vd/7veVnf/Zn2fLki8pXf/VXEzTo4fJv/s2Pl3/0j763/MRP/Nvy+OOPBUj9/V/xh3C/PVE+/fRT5cf++Q+XE3Mz5dy5s+Un6f/3/ME/WvZ6U+Whhx4uv/5Lv1B+6v/6p+UL3vu+8sW/50vLx//jL5Uf/J6/Uz76736ivOf97y9/+E/8N+XqfrdcTXwfonlQvpyx29tYLvm9Gos9XW5yZEzH3z6+ypxzXXjO/JxjzVyGvr89zm2TwNJ5GL9rgL1DyN7Mu5jf1vQ3hfmGFdtUn6w4tw7JZzPcvpmnBrmKaLFyEfM35/YY7tTyZornQj5p50ultKy7/naLIFgDIgvPRb07/gX7/qTwjgW+fWZzPHe837aDVgJvQgIj3/ZpVwq3qZVAK4FWAq0E7pYEtIydQkFx7dJL/VRmbrXvD7FFyRQxQhtVTTUrTg2K4/6GoWqhYAkgVEv8WEd1rgI+shLADAGCOVkvz1DOAszQzjrDZF8AL6gGsIw+UBCpuwewMOkeg7oYSlwXK23wx3dsFUChwEkXSJMcQiJoBugFzAjwaqprKEMVpQ8VxiANT0fdY2v9enTfSrflMGn1jD7kuamgghvAEzbHhtZCOA22+ZLrZtzRCh61EpuaQyihu1j0Bu5PSuYYLw4M+kM3MQaBWb0Hw3ZNY4fcMOUZqZGSii3j3N5hk/foP/kIvio/0DUwUZfgQtJ3SxIV7UmCBoWlFeKo5zEW511dF6rcpyemsV47IqLHwrd9uWeo7oMV8Me4g08UcOaUbsbOrfEO7sZy2pTFQDMn9s+Uhx0shNK0DENhuXRJ12Tnykg5uTBTTh+fKyePsS5Ul27WCkt7mn0qd9CkBRg9TJ++GFhkqw/HNjPFTIc3108KPCAEr4BV1jmeWFgoWyDYCVxVDQolX9vQWVtbDRA6PUUbOFleZ99PAPUuVkvX206wkG2Xdl1cJY1u63xjl1OsnFNB58LSRlnszpfLTFFdY4/zzO5vb5Rp3Hk36eOANyT9NaLU0uHY3AlAJYGEAGCLhzGHQioPwtc+FtlV9jEVXM7M1qfn5kb2n808Fw0O4oUSdyQfRvLy+ajUXI8bQNMMbybz2Jchh/PNAtowB0zON+dtpUNJtIkjuQJPnyrnXo85JqEAsVw7x5KOPEiNRJc+P7rWW0/PC6PHBitU+qnynnLw5n66s5838O1WJEuLuPNiOZ6duzW5v4Fu2iqtBG6bBPiZbFMrgVYCrQRaCdxNCQhwLqPC3kwgn8/G38e2P7d8eOLjCZQCiCUA7OMmq35lAhYAdlScVLVU7lGgmzf0ByiMfXc6tzKak26INamMGVQnrF1monDFpypgTUUVMutK2zSkwSU2yqAb4Cg1s6YVPdrQVkngunYCpn0Wh46B4uTXNEBBHBlJa5uWR3MFrlLRpVWgkQw2B7vmVEvcgRY7EzxEW+jG2lP7JztKlY8XkfJc6lov3ObFyLBZzHdTLw/2ghuo1hU0TvPMqV+2N3pO5NvHsAy+Y92jGSTKBMwGW8rG8kDtaAPFauo1Kxtw1OrKXBLtkhkWWE6USxgpzXOukQTlAkx5FNzrKmv7yKePCuh1MxZU6m7tLasfT5QxI2U4McKgm1/NNf3pDiw4OEwHZQqP1IcBJXi4lvWVg3Jlab0srW6WZwB4Pfz+5qYnyiOnZmKvUtcMC2773b0AnLOASlPsUUj+5vpaKPz247zqMLe1XPryYmdnyxse+cponr0oleUObrFy+NLLa+X43Hg5tTDLOHy5oYsv9xew2aXC4spe2UH8k1qxoHNqYqx8Yn2/PLvNfKMBl8wV+AFE+mpem2+HCL4S21vhRQC3mmWmD2TSWtnjHmq9dKlsfaRudrACtpzXITaaeyecZ/ksO98FfH4EjT4//r6496lzMRJNbKWF0axd7m8mrrwv3Kxa1XwDBUkjCiFiX1oq7UuitW9rDHlrCHht+z6Wd6ubvmL86fJv++/Kizv8HUF9eN74GSOIGTK6FavxHeaxJd9K4KgEWnB5VBrteSuBVgKtBO4zCezpztkoPMMIo4xBQOY6zANAR6wl5FqQqDUtlCcUp+Gb/oaAFqMk1mhVXOVZKl/16lBEYccLhU8WBEa6QgY5Gqqw5V9jdaiaGXWt1yHoULqfoQiiRA4T7cLqxrEf4BLXVgEmH9uNASJMaWXCqsC51rT9AR8tWjXR3hRWODgJoAxz8iToFVAqn5oS6DXCjMwsU+UVWGgB1N01YWpTL8aYSmdSFFlwbVO+GhZifILZEEGVQ7SlXtT16IncmaAWHQEEVbIFqJGyNE6hI6mIsEl9X1poq87xScFUO6Ve9FNBdRQ6Gxib1ubsV6teqPLUnZrBZRurjffGff9kTKW9bs0QHRxhR4rec++RfNUEl8FjF2vX5CwNzvcAmOwZCJDb2txlXSSWmbXN8tzLi+X4zHh5x9m5Mk9U2UEnLUYBi5WV8wvrsCnAZwBDrxgD99975NzeD3dG55BlyaBj3EMx395hPex+h2cjTYvyW4GwNWcmAarXdsuzLy2WR88fKy+vdsoFHAN2nHJU2Kq3QdLDlH0MLx/gE/e53EIIATCnjtzkNzhm70/8/sTR+9WsZ2zahyTjOSCjuecW+TLEbGepvTqn4qUXFwN+5/LFkjWTJ+lYZ5g4jbXj+VDF704QtEJUs4K8DVtQfAh27bnXY8/LsF7m/R7RSeEuadFTk6Nlc4uXO/y89fJd0SGj7VkrgXtMAnfpsbjHRt2y00qglUArgQdIAi9cO1MePv5yWOi0q4QKppYUH5R9NjDv8OZ7tLFIuYG9Cp62v1STtOBc78cXypmAVBpRqSrrQb5RyDinXKXNVIGdSl1CleAkgIUKXLixesI/uRTYUMjWKlgFtNZxGQqlrRuwMwJA26cPA02qUwkS9hsAm+5sUAnXSywRKI7Yu4Y6I9VJyYm8BeCjjgDKfmtKEJLDlPMjg0uWoBkWEpTNcHuFc91es6pM17a2VFmWRKrBOSQyyFRZVV7pmpvtovGR07i2OUjJbK2YBiIyCZ4q0I2MRu6eR23KbaPVUiBpcdpRMz8Ks2Y090u5yG66r9qHLeAV/u03SpGvVsFh4CUIW27dpCklZKP7IB+G2PQiV3JkMTTjnuKyi3/p9Nmxcvxkp2xgFVxfZV/OpT5WR9xJcVvdIujPmfmp8vDp2XLqWLrfDuK+hx08yKXF0dPoLHtRto2cfTkR4IA854xJl+A+ALOuF3Ru1zrKQKtul6jCx2c75eLiTlla2cSKOc9WI9neoCryOA7Acv/Bt2PqMW4taTuYaCcm+AVxUt5E+rXthXKw3i8P9dbLian8zcnfGO7XkI73zinjXPLFQa6DrvfLZ0tQatc++jsEbYrnbtjeEwppO+QubnADUmmU8505HLSzvs+lbcyTmQG/idmn2eTzGzrGUoP96ulxXX939mKclx7r6zxfmMtHuAdHHv0723FLvZXALUigBZe3ILS2SSuBVgKtBO4lCTwzea5cW5st7xx9vkyMrociJH9dAleMNO6vrpcq24fWGvUo9a38TnfMUMjIrfkqVNZL98Oo3NT3HGXL8kZ9E1QEsLDERiQV90nXulG2NwSv2UKHzF3WEnZYZ1dTWFjtX80SBVJGXNOGKhU00Cc5T8AroNViMdbDfY6CcO1slFA4zrYN4RhHww+EAAsorbg86v5Zk8DCVL9zBHx7EpqcCq1ySvCm62UG7ckq8Q3Pgj/5rXwHkJREpd8c7avKLvriqw9NOVBhd59Oy7XQKVeBePAGD7oHqlxHsJPGUmuZYncdYYB2zqUr64oyCjmY3B/UFwwS1GXYezPkhb61lEorFHjALVsbBtgdA+FruPPFgLS1FucZB8eM4jtGh259MnC+MVZlplRChBwFfUabNeBQF5Ayf2wkXGaPnWJN5kt91pYdlC32xXzu6loZxV321LFZGYk+paO1SrfrpGu/NeUI5M9Pylsu855Za6/PLKH/5LvWsaRJTT9zU10i0A7Ky4vbZXt6trBMNJKPkrdvAyXf8wmsST3GkGOrRB7so2Odmholgq/WQoI1HT6+b2jgT+/hjoz/8Vy3X06U/D26sDJZJtkKZmEqXfLj3iloP9wT73V9QeC1qX73d3di7u72d+MFkO7+Ty+e4FkaY/0xa4l5cbUP04/OrZbzc2sRAbs+i+5jGZQcVEPXLuMlGSd1jmVfFNCTXgL+nvVjfaec3J0UUWOZa3qbB/8Nv3en97aXVgI3J4EWXN6cvNrarQRaCbQSuOcksI+1ZakzV365/I5ycnGpvGPu2TIOOAl3PzUjPypNjZIv2BgFQAwVNvI910CTipeKFEo6ClZ8bBxJ9T7JeanyJWnBZ1gTOY+3//bD3wTAUoAiKOx1UwtVJxIUBTCyvn1IhKQCFeCMvOixAZjRIxn2U7AeMNwYj23cKkWXOTkR6/QmxsseawWtm3AslVOVx+RWvu1XXjn3KKEbknkBi6LwlTVizWpWipYxhCB4SCiK+aq6a8g2SMVXDgtGkEb0Jl+C5D73ToAYlkDAXwWL8izj62v5AsHx5P1yDI0yrIygEwGTmvHJkfXcN7DWN8+Ba02OPOoegu3kbxfF3XkiwZAZdRS9/Ph3OH/syPV4vXC1HkGph3t7iBSzgf717PVcwOzYwiWaGlppXf52/hFB7R57R8pvwXq4Xh47c4zIrVNxXcdLbzHP4khFj/nlPAMw2Bh+/DuaHKf7nb5waaMszHTLiflJwII8XZ8c66n5XnnhynZZdi3fdO7F6fycnRnBPVHLF+v8sGL6GYf3US16NPReP+jJwDJafx27azCV182kA+T48d0TZWp0t/z84kPlIHeIKeOL++Uj8y8SAxt5uh6YFwn5OwWgc/KQ4jen6bDPixUD9ezuarnkd4WXFhusi/zNhVfuQ3m1zJZf4759eOKZ0uHmTY4Cjt1mCVre1xtTrNE8mk29/D1hbnPuY3a3k3LfwYU81qL7ILaplcA9KoF2K5J79Ma0bLUSaCXQSuBWJLBJJM0rB+x1yHYIrgma6hwGzwh6KEzqTCprAdZQtFxXF+5hlFiWYMDaKO66kKJIVVASeh1fKtICR2kcrneiiQT4uAm64KFjAB6dM6kbEWXJC2Dm0Q3cSOBF6KcLXIDRpi4tQpFTmTM1pDny1yiEnuf2Bbq4wau8cUwragKgUEizVdCrtIIEfNh/bsXySo1tX8udAIbOq0IpII0xkHfIkwwGZ5lpiYVmNycxjmhAjsWibogpY689193UfF1IVZ6Vu0DMo2sZBWbZizTyM+wBGsrU8lgrCTBVNrG1COdxI2XIpMz5i7WUXAoMU87mZgVbOC+Uii8N4p7Dq/0lw8gEfgXEQY1z77mXASC5p5VarR+F0OpiuYy60BKKup7V1Omm69/OtuAa4IZr7sl5otrSpQF9IviU3Q1ZyJMqi9hKQrlYgRSchUWYqLpEDZ6d7rLWt5S1LVxx17R6YX3TxdWKJPsxhXUTmV+Bj9XxKbZ5cdwkyru6JTb1dY/VMqbLrC63ZgtWKp1o8wB+KQ7XXboG89XA2esNWTfn5/fZzuPQeaDsdwH+O3Nlu88zyW/XPGs6fXnkzeGpCJl7n+3P+SU41Psh78VBWd6ZKB8v7yx78ULklRwcAIifOzherg5m4r4v7vXKym6XNaT+TgE0jZjs7yK0Ba3xvOkZwE2N+eV9hazz1qfwt/bZi7WZFq/s7c7kDLeCwYrZplYC96oEWsvlvXpnWr5aCbQSaCVwixIwyM+FsbPl2t7xMj+yWt598FtDZVzlV+uKCn2CCa7RzrRyuoYxEpUigAyKnGV+Qq1SnwH4JLAUwCTgCY3LNmphfMaafeQsr8rXsD3lbgpAa+gKLDg2irtKokr5kDfOpUjFAB91rWUfq8ZEuLTWClahjsF+cJPdh164r6EkHk3BXxAkFyC0x5h7gCeBUxcQrDykY6/5rdgyTwtuJA5uV+Kl4ohcT2ri3DaOw/FFwCAqDel6Tt1QVqmkomodYViOG35QaI2Mayfel6H8ax8ck52gNMy1XwGp+q50Y+1YU1pZHA6DPuta2SGBOLEm/VJReibPDFAZ8jGXtjEIyqzjfBrWZVsRAe6okTURvyC/lgbgpSaQNFyTR9mX07Ig5lBITJ1y8jRBYzaNOnxQXrq2Wh46Mc0WJcjcP/lSyVe2/NlaN17phLWJ8mpRzbsond0Ai7rijqOUT2CxPEZgoZeubAIwd8sUkYmNpmwK+XBfdJPuYeWcwnWzywsGZlaU168JLHbiHq13E6yHkycxrFhkl3Cx7kcIWW5E0q3tHpSjoHJjg2eIe3Q7917cQ+bPlGPlUn+mvLS1Xd4z9nKAPJ8PJRkvqZCprqtaLH3xwmwqn1p7vCwRkniz8ZB4LTmvjY6XTxycjd8mHb27TNRpwOWYb+OYks5b9uYpU5vb5cTkZjkzux1gtutzL2EY6TlRDwNrv1Z3t61MV2w/ylz5t6mVwL0qgRZc3qt3puWrlUArgVYCb1IC27gI7rKyafxguzx68GICmtCetTihqDQKfdiXUNLG6sZtVdFHGR8CG+qr2AkstUCaL5AhU5wWir7sSn6cfjEAZLKdZ/GVJwab0XJRs3J7DMpobNdD3qKtXyiTBCWyNOjSYfBFvsk2pnDh3dllz0K0evws96Cn1S5TrdVccqj9h/GhuZCrrMm3J4AYra8mrRq6sA5BeeQe0vEyyTTfDU3BV6jGzfiCMLwLJvf40zYY6zfprw//IQXKIwCOAD3aSyEJRrmdWdT04aVJAKduHKBOgFqTFenfvSSjPW095nhzCxrLholyu4s5ooC459a1u4SEVjBBI2jlebhWU98XFSr+7o2565holC3olROtQlova66tY+0nfOr+t7BwwL6Y7Ku4sVNeuLxa3vXwsQCJVfaCuXGAhOuKs61WJ3ihfeUv+iNPd0ldCUfoUzFYZ5x9QE/Mj5dnLq6yH2aHPT/dqqJJMkgSF1r/KI9embyn7veosr++OmBrjtG4lh2b72LVW10zKBIRcgUCMcmy7YPw7e+AgY1005ya5J6moG7b0DaZP88CMJ/fe2f5YO/lcnJ/Je8PLy8GCH8HYOlvwNNLZ8tzx86UsuBLmjfefdTl3u3r5cDN2Y44y7T3PvnhPo5MzpXnOP2C/vPlke5WzE9fZIzxezA12vjyUn63ku/gfI/iS5d01L5bPbf9tBK4OQm04PLm5NXWbiXQSqCVwP0nARSond1e2TmYKMS5IOjPDsp2h0Al3fLs4sNla2Kq/Lapz5RplPCZUXa7DxAh4Gk0YtGDeWjbodyjvQss45yiUMXVn9F+JpoNynVb07VMt7fqQupRK13GJ1UTTGCSAhXqJDGVRpVVrVMq+GZzldXiQHl0Gl+RbxuTwGIXENFhzMFf5B79OtLmCM0+eytKI6yfanB0qhKZY6QN/SqPsRssWEcpB2vwrdVXd1NBeN13MqxpjQIeMsAFr09/4foLcdtERNtm3IJYrWkDA4hogYW48hnKIa5kU96i5+BVflWAdRmkSpQlLMzzPYCeMorxxeJVSWf7yG7K6nkAfcYhjRtT0rG9HWl99cA5gDhcQ7nfRtzUkhlsBj9JpT/Q7FPBLOs1icLpmtC0Oo6UYydGyiJr8Awa89yVVbYo6WJh9J7mcCd4gRBWXwj3kU+4QVMYAJM8eRGXh3Udd1XPjRYrX5PQ0ZU791AFqOyxBm88o+Qmd3xHR05fXroMM1954trD+fmxWIfpGMcBnLY1uqdYfRfaG5sGERIYJBi9FTfSV/b81uYIzuqel7z3iTWzd4IjX0L9v3vncPE/Vz7UfaFMHeyWbbbk2Bo7Vj65+VDZO8ULsFdOzdvCir9BTtlfG3mMufJsmSdC9IkxXiRg+ezyW/eH5lbKf9iaLeuGsr4LKZ9tLOaAS92w364Ri++CqNsu3qQEWnD5JgXYNm8l0EqglcC9LAGV7JXBXFljndHKwSz7so2UOSLK7gx6ZXsU5MeyIdOT5V1lgoiLDx9cKqfHruH2BaChsQpz4gpOmnOtY0NVHMUuwSKK9QT0mqS+pzIUa5d0NyO5z6SKd90EfKgTciII0001OzzsV6uqVi67PprMd+sReYm1oxRWcKq1yKT1LIIaWXYjAfJUHY2cGpo/5xVk7dGfoHYE8BUAk35gO1KKgIuj9KwbpYIbQCJulGlB1GqWIFwgpK0ygFbTVwBXcrXwWU8IF4Qg5rm0TNEVX/KQAPOw+5FYEwnn0HedoGOQFyPvKnvfC9gu1nc21EYDfClXbZw3JOrCTlKxYy5iHWOcUl+Z2/6IQK2mLO03Xgw05a6B1Rp+ADgd4DNqk5Rj1AxQmJFp8zpAF0hBQIhUAG0H5epVrVT98uzlzfLEmcmIzprzKum5LYb9y4EgcQdQrUHd27rjOkhoxYsQym3nXJnB0jY33cEqisy50ROs9ZODo0mazoFRBKi8XjNx26YAk9so/VsG+GlAsLezx3m3Jw+6zHL3AMu6FWv1rFuivCbte7jQHXIEzVu4x3aJ+nsnk/tJ/uLg4bIw2GRNJuskeblwMH8ne7ye9sf6j5dpXkB9SZdgUOy/qov1I4z/93S2y0+vTfLi7s6Ov3ITgJL5KMBswWWVSnu81yTQgst77Y60/LQSaCXQSuC2SoCAJGWmHFQjEbRXDM/4KuaY7U6vPDN4qFwsp8sHyifCpTTACkp5ADeU4tShVKRUuLlG0fHPPRHDNU5F3CKr1A+nJt0eVebHxrA6UaZ7m3V0ixV09bGcBkQJXV7aaSEVfEW9JBPf0SttbaebrZarcLWED/CDRKN7o4fusOZOYkHWoqCQ31q9XKtXk9bGcKO0HqBYJTItr9QPGlAJ+rVFVIwL7WX2ss9WGoe92I6xhnuuQJgysuQ7wQ58izxIrh5LaJjNE4hFEV8pDxpJzkNYKCtAPYRHcgAVBCzA1EIXNBXm9QSjf8ssigTNuDhyLSB2/WeAScqjP0Av4oVbkifS8JyvuPTcXrnI9ZCSTXXDLrxXytjtI9w6RVu2dAXAKQtrlTIzd1BWVpg37AVybW2rzE31yimitY7hq9sH5NIFwE+6WDkJzrO4BrAEWWrxRby8zMAllYA746zX7AEgO1gZN9li5Cr11rdZswcYPbMwXiZxic0e8zvGIgNcRrAez18v0WdYKnfcqmQ/3GSrhdKxGQ2X5cDQ48Pt1vqmwHQBvp1rFl+PzdtaHmNm7WXsv8h9AejfyeTvy+IYDqF33yM1hrWB5fLnsFReXumXLz7LjSY90tsv/8n8Rvnh5bvDVJc5rCu2+61OTzGD7qzIY4ztVyuBm5VACy5vVmJt/VYCrQRaCdxnErgZBcRgOBu4K/77wfvKCdY5vWv0mdLFhXE8Augw8AakaZ3TsiaU6YUJA2UfVNfBvTHcSwFtJs8bzT2uBSSHUC6y+DrUkMQ/odzDtLSjjwZcOg7BSnWHtFyrmIBmvDMeH+uYvz/Ykx2XCiZwBWRVVgJ81S6p4yjkgarBSgI26EBgj+046j6HMS6tiVavCTrZLiBcFh0tr/WaozSsqQus5yGfWtYgs6AEDcGW1l7BtbzbsdZJx58pgaGS0n3VPSZpFEXRj+chUCUi1aOM5XjzhQBN7DuKbSMJXXZpEbIno2ka1eynZlj1aLIq5bDJPWAfSOZD1qUgmmF1YRP6jugP3gSW1aorhzF2W1BXq98s21wuLvpiog943OYeT5R59qrw3u5ipdSqqoXa6K/zU50yPzPFVjXIAyuTLrYJWvMomz0ixk4BJl9e2uOlg5ZO+sc93NQM0QFA2yjLuEWT7+eNJPtiKWe4T29izZtE+T9qnVTW4LGiw4CWS10bXbPI6sFYvwhrwW+I9410eA/UmWbPy9XV/YgcOw3wf9DTJnP6V3kJ96mXu+U/P7VROkyanD13aeQ8V76MMJDUHvvKttbLuyT3tpubkkALLm9KXG3lVgKtBFoJvH0kcG1svizv/87y6MgLZX5trcxMrKN3EwkTa5Pg0hQRSbX8oe2PjrjBODAGJboLqAiQVgFUo3fGuk2U6bBa0v56wBN6fdAV7ASwoX1EsR3qrbRAobOdFs+atIpqgdTyaLJvI5xGXcBYbKkiUBIqkDnAhEQVLhOcVkoCulGj2FBHXmu6EQjW/OgNQhUU0bAWffYjZKN+Qz5a1LFwEXJrymIcursyhgpEaw8pu/ptz/Ds+CIlcBXEDQCygvTRQC1ZLnA0BcQkSIo0dwHgXe5tI8EEsfLDn7SjEvUioBMXhsBJW2typHTloIM8+vQnwNwD5AswowZjzGFmfeXv+AKv86Xl2RTjIF8ANovr49raINZeLq5vBm+9kxO80EgaykQLpKMxZ3qiqvq4BWsitENo5Wil7rrIsfLQSfaGXRstJ4+B9IKUnDenUSvlYcvXdYtt6tdDh0A34OIAjr6T+WwAwPwuQEF32T1deHGZ9b2BcY60UN0PIFMeZ6bHAlxOTuWa1iqHB/m4xX370atTZYFn6yLr18vk3Rut1m73WnXOfLa5dfe4aXtqJfBKCbTg8pUyaXNaCbQSaCXQSqCRwD5K7jPl0TI5tgXIvFhOjVxmHRtWN/4CzKENG+RGoCAMCQDUKPQRydMCrquVM+tFzehBWGNTLVHSi3WXlgQm0NUuI9ZG5SY/zmkUij/f4caK26kup1rBYh0fFq2ARPTdpVNBMcasoGtgF9c4mgRCw8Sp6wStK+CRB+GTwwn4xQmnkaJVtD0ELlF6pEItsb0p2yTfgqoIusNRa+R1QIKKjV0xgJxyjIA/0BjKV2pBsDnYB9eVwzgqVDKN2MpNi7b20zQLYKcVuR+dU1dGbUJKayJrFJGTe1C6NUkAVddpSkC+de2lQRo9s6HnuhKPhAClpAVZ8JfguEbAjXWyVB5UcE8765l0JxXY6z47DmB55Mx0ee6lLa5ZgwnAdGy/jTV3WvrWNvbKtfXtaOd2JfIYgBV+lauAuY63maQxxi4mp9O4xAbXVuDE83xhkS3CygiPo8OxRDdv6Mu9MAWKWiZ9p2Ggn+vucUPFPN1JY+0oIBOsMrRoSkOAHdPsDfX61lSawmK5eRWQj6foxF0EWW/NaA973WB++bnbSRdrX5zpTe/vgfO9Ta0E7iUJtODyXrobLS+tBFoJtBK4RyWwNT5ZLoycK3Nj2+z9h4Kv8o4iP96dGCo3AXyC/1DZD5V1lJ8OVs1dIqSqBgknVdwTsCWwFKSEFg3dQC9ZsVGsD5WncCcFZGig1Gp6AE1BkcF9oh3NI5ANfUq/h+nI9YI9gvzsHeykZZXrkdgzg77R/COYDiBWOtJwHPsCitqt2dCKQ9TIAq1/odhVXm1Q29ikScMseIpzjlrpKuiyUYyf+gIqQafgrloX5cXeO6ApAZbyC2aS3XDhVFDSPtxOJGBxjEk6XikHtz0RwiXtJEDTGHM3ZKXi6rioAfI5wEJt/8pJfsOdlWZypJy1dA4Eg+T5ScagT3svu/iAeqyuvco2XU4bDgRv1I2gTZSlPJGPLzDoc350lsixx8pMZ7L8xgtLgK9BubIqwCzl7MJs2djul7mZ8XLuxCSW9Z5iyBRjEDrj/rqzE9b2jNxLVtRJiccp/Vb5SdcUAJVCRxHbsWT2TX3rEjs9xZrETeWHcQuL06sBzErUQFcC5l7IneBAYOYdrLZaP8cn7j6IqXy93jGCIhkZFzdj+WzBzutJ7M2VK99xfs/6uMUO9n0x8ebota1bCdxuCbRT8nZLtKXXSqCVQCuBB1QCx0bWAliqnWsVcp/BBHUJvA4hUoUYh4LoCwJJKkaCCQGLACYQCdo7l3ketZqvBikIREUTKv7ZB/W5EITpoitgihLqhWIrsGhqWkdAo+Iu0NxhKw5hjbY0twTJek1/0Q2EA3HExWEBZzXbzKPr+byWVjDoxTAln17WfqriHcA66glkCUKjLEiCGUXh+GqHISfHQKmGEgFmyG2IVODsSH3p2FiK9mP1jO7KOXwqa/NTDjYEBGoOoY/huGgfFlwqx5EWBmKSjn/RBkCeINQcRqiAGp6iRlYL3mL8VLDY+2+yuvkVuNqPbw0Esd2DbjnbOR00ldnphcno9dMvLZct1kka4MfW73r4eDl/ogmmIkGS3eom7UuDnZ3t6EMgHC8duIooto1GHjwE49nOvvoGgHJEDf9wLdlbSo53EoBpAJ9NrJi552XD6GehGCKED9dsCkr3WF+3zrrGDoDCdyCxg0w8FJ+FwFuQPTk5SvAlX9S4JvAtYOBt1uUEc2plOeXdgsu32c2/D4bb/gTcBzepZbGVQCuBVgJvtQR0F4wPSm/AFvRtt/k4GM2w/GGpCrCGWn5UF0ePTnBCe0GFFkYU5gP8/1xHqF4f6yGh41v4Cr5yvBb6rzkKbEBXWvfsxDV1o2jatgk7mf1m1TyRSMOL0VoDZNqhlrawttX+yCNBNejEFiYEMRJ8DVMDmmqWfcaHjOiWrwBd9Ths2JwcIaWrqaBci48WymDRsfFJwJ1WQrnRiljTPmPoiCyQFacx1igLBnKoRkvtAbgtFPCOgSz7yEuXYd2OtTwaIdfyPGKpjPpBKccUfRJshr06vXfKO/Yo5SiP9qTrcRewaQr+44wv2I0qce2YsiDuEfdf0h2ArHMn7ivFFVwqE+fCBAGljo8dj7q280QpnCaSz+jIsfLUi8vwtl9WNrbC7VUZRqKeLtK63mrhDs7oP+4LV1JRJtFf7LMpae+BFs5MWjfjvpK/iSVunY1ht3FLfjNJerqLGoRlE5AZQX/0a3wDyTlS98w0gItBgPgHQM7os3VbnzdA6o5WEeAwvXjh49x4Y2O7oww94MR9ZJ1XWi8/m8v1Ay6Cdnj3sARacHkP35yWtVYCrQRaCdwrEjDS5frBdNlB9Z8aIfIISSVd98UxwIqAwSQIUekZQg5OYy0dwCKsc43ir8tlbs9BVRT+2JIChbuDIq+FqaYKQEJdha5WJxYJJnmQi2DngIA0QocGxwSICEhhmX8iHAjIlzBEq2XSi2bkC+PyXNOa1rvrgKX1o0FTP4klDdtlL8MzT7QMDmVATVcn1gYChuT3sI72SkeRtBLEWbovIIv8+pVt3ebDYcX47Yt/lgi4dVV1hAH4sQr7UsB1kMrO1bKCa5Py8C/WfGreNI8/q8iNQJalmukmS361flqvh9XalK3i9FW/Um7Zn3LdxUrb8R668bxzAPAalkp5pnyc+XV8dGEof/OiD8YgrVMAzJX1qfLslbWyB8K+eG2tPHH+RPDWDzDsHSdRN1xtK4c3MBrjdKjQFZDWFPtxIgtlu4w761J3puxGxNta49aOjmOCQD8G73EdptuW3NTWHYjL9ZdGJ3WiCDQ3N7mV3N8JXVEP8fGtMfgmWzmne/BXo+S+SXJt89eRgPNJeRvUJ3/f8hl7nWZtcSuBuyKB+P/0rvTUdtJKoJVAK4FWAve1BJbYYG4NgHkdpEDZ1bLlujaVdMFNn8g5KjyCgT7RQlX06382e7gchjIElYQ2oeHjioj7KtYm9yhUcbJtpFeAAtoNC5ugOFQMMEebAA3DpjRu2te+6jE6sD60DCJUedJAGU1q/9CK06Zu8nbYi1Am29Zjw4tdN4QSy3kRtYO+4E2rYLiZegyes5FA0Jqx1jKshRYOCR6RjXn2k30fHqVGAR95V/Ypsqb/pn4XhNMjME4EQDoyvsplAuSUkXkmRz49OR0WV2ne+IlKwy97pwUHjYvYQHHp1LWTwDtDC2EGYNKqOsY+gqd7pwLsapEL67LWblL2LrVSTgIwPZqWNnbK9m6fLUVcT5ugvBF8tIn7NaxNgyqvPAkawy/LAmQflFWA5Vp/tKyNT5d+w8Ow3i2eOLcElEb73AZganW62RTj0cWbcLQzM8iOoD/r7DOZe03mPLhZmrer/jjg2cBPWi/bdGcl4FzqBLhkzrbivrPCbqnftARay+VNi6xt0EqglUArgbevBD7Rfxxw0C8LrL+8MYWbJVZMo5sOdHMV42h5EwlopdI11az4OmwdUK1BCwIE3SM9BiawLh+VqUgQS1fSo4q0Vjqr55/1KhjyXAueSrl58qBbarB0pJ6caU3VSTXcSdm7cw/ALFVth8GjxOBloKVUnviLEYV21zAov1EtT1zn6fh1d3UNoH1XMKp4pJLrHA3gk2PYI9hP1hGQsYVIkEZ+ygQAHtbbIGofcNFolx60aOoGq0VrVOsgKa6xFgrctVyOYZGMdY80OEjBhXwUcgBU6ghsow50OoA+g/A4EFnZ2tnCctmLcgFg1IueZCBOrvtK2afMIF0O9OkNXkWc6R47EhZvosF2rgYvyrVz0CmnRk8wAIJBEfUV5hj+fpnCG3duqltWNvfgpV+euXCZgD5T0S5F1TBBffseJvqMFH3nGtw6plpHy6JrOlc2+2V5fKZssK/m7U4G+tFN1nWY+5gie4Cy6/h8gx36TGjN9KO77G4D6nRP1U1VD+rYx/QN0nuz1QS6PcEuQYiOHyfY1hHRv1nabftXSgAPd549AylhCZ9shf1KCbU5b5UEWnD5Vkm+7beVQCuBVgL3qQQu7s+Xhe5agKG0izEQdJuq3gigwEThKitwMu0DIvbdxsJklp+q7DegxaIx/PuEbBqLBDqQuT7RTvDaJ2DLAdqrFq/soal2w0V2LzCDFi68rkm0Qayz07WUZrHmk0x7awxXnEMb7c1jgkvXmLopBy0EZR48N3kh0RtS9G0fglvKcquVBEnZkm1SdCem3LWVkukLoqis9TLWD9JOOUgrAWH2pIsxS1QtDZfifQEpf+JPrcO6GRu8xypaAQU0riWNPRsr28jY0VUUYPvoi7pwFG7MY01dQaS1o0u+DJhjEujLS4BMAKI8WsdmOX63FCEyLoyFVZCCHA/3RIux+dKhVQSH8oZDoKv1Fv63RnbKsd5cAnPlEMB5pBybGgtwSW2C+2yXs8ebPTDsNOTFkXN5OZoco8l7UVPmJF8vL26XzR3A5f5YWZyZQ4Y3Uqit3tzR+2HAHl1kiTmEyyxchIxvje5wz0wmsF6+ru80LJHBdQSfdytpTb1ypc/8SKvq3er37dhPgEumse/ACObdplYC94wEWnB5z9yKlpFWAq0EWgncHxL40smDgv6I4h7oJBX40F/5ajR1XT51dQVrBKjJACu2OaLo3qD8R1kU5zYcgotASzeIRTAITAwQ4nrBOLGO3YvQmnMPcSXioi9dMavVM2Ci1jkU+tivsbajTQBMW8pfw6MwzcA3Y9STppBI9o4m14oKomIItDM5Jv+04li/JzBG+xc8RnmI0Lp+AIcCI/5cu1plZo8TLtIjX6vmHm6gVo+1i8hCBCEwc+y7rDs08I+Wy5ERLLTNGKjcAHXuGm21aHW8OU2ybQdrZETxpb/OCPzBb581kodWNTKacdV2CsudMP1XRuCL5JYmgswBVsC9/d3kIUalHBgj/B26IscsirF2O+NRS2Ht77Hms9cpGwcbZXp0ii09pgmGs1lGGOsOZXPTBBRa1qX5oFxaZg/WUzNlBmsmww7ZyLsyCt49elGTZa+SEAEutgOA6lT55O6JsnUEgL5K9Ted5dyb0oIJODDQz9T0ER5vgbpzLF4iADgcC+9SAB4A9K1BrMu8G4FfBLluk+H2K3Nzrr++hYG0Td6QBPKlUVou4+E+fJzfUPu2UiuBOyWBFlzeKcm2dFsJtBJoJfCASuCH10+XPzgNyBlcAexoQUwlPsGW9j9xiX/sewcoEiSp3At8QumnXIB4vd5JjSZDOoI36QYlTvy7MWX1/B4FrOXaQS2ARtVMC6BtRgCgggzzpWsAGcGvDGjNS77tk9R0Q+08t2/bUiRgGgN0HXKiC6oWw4CaAT4Na+RYY3zBGkAJ0Gk/9p9upIc0kvtghS+BX80JQnwlj1kjyyvYOwC85R6d+sehWUJfeec6zio/KXjuHpecORbaDQC4ghGyLQ0g5zgM/hN9xZhzpLb1T86imKMXXofMOMbdbASzx3YvUW4dZKY8aB40dK+V3iEhiSWtXdp1AHRjAHDLd7d24t5dKpfLY91HUobI0jSOz+fUONZLAT3knr28Uj7n3Dzb42RgIHtTlMoqPtEqv9wfNcC9A6gJGrVuF9r7A+V5tEKteHuP3g+jx7JkNNZNTuHeeDsiwDoW319MscZTq73WUddmuk6PqRgvVZTPnUgzs6NldZUVtgB/wWab7pwEush3F+u3rrE91vK2qZXAvSCBFlzeC3eh5aGVQCuBVgL3kQRcyvcftk+Wz+9ultmxdcBKmK0CIST4CCSRiIFxJTARYjTKDwfPVICHYMVrmh0mQQEtUfBDCQ5FP0FOrZNXuJaiLY+GZc51hglMx9yNfkiPfujQ9ZQDwp+OcjFgEAIZXTVrtYa7Sj6Ak2BLAIUXI/QEh/IpPVvJG+cJrbTjDvNybPaX7qpo2ij0riVNkBbMRYfKIDnQohnbrASdlI+WUEG56yWPbpkRfVOvgxtxH0tecAm9sMJyFeOSrgPnEJF5+R9fF1bXjMqff0baDTAqQiMFCMVqarJcC2pEcyViqvtxSovs+ASgbOgIck2Z55my4dsv+NjjBUMGyzGTYmXpwaokWbWq1s4DtglRDvIygnulrrPX9hfLQu9YYxmWr5FyYqYTLqxaL6+s7pTu+HI5fbxT5sbmhn07Bl2E63jtNNyL7bl2Tv/KNoMMuX8mRUeZi5w7+xXrLplAWwAFPaVduxg83IZutZDqguvtw/AdLrM+bB0mNaJRILehl0MSGMC5P+ny2wXc3q5xHPbQnlUJ6PLss7/TgssqkvZ4D0igBZf3wE1oWWgl0EqglcD9JoENNrlfGUyWYwDM3QAWAAGUdWGOoCAioXKu+6lgTkWe3GaYXnueLpHV+mVbU611eCJQkWZVgqUEpAMQCEhy/Vy2sj/5MHCNR3lJ+g1V6gs4BIIRIMf+gmzm2f8wNU3kSBoReCfRSdCwnoq7zRMqcW0mObEHaO0frV5gpkUueIr+sq5jjvbwWYPWBIlmrJXHLRZWaZVUroouxh0tAU/IYZ/6cum5NA0EJJA1CfxGBgJqxyB3prwbykeC+VfHYmlNyAUAK3jv2HfNjoHKizneH1xom/WstUrtyaPVvSemGK8Nom32FdwHKSQdY8m6jncXV9Ure1fKfHduaJ12jeqpmV6M8dkrRoodYVuS3TLobpW92b3YziRGQzcjfUAUiC0Apv3yEVCbvKeu4a3APzLfoi+tUN4fI8nKnVtN3M6kRbTnOxeI6zKrEXhj021qXPNJT7cJZCpnA8xsQXtygue0tV7eztt4Ha0O98x9RQ3o5PPu71GbWgm81RJoweVbfQfa/lsJtBJoJXAfSkDr3dPr58qltXmU/qXyyMJlgJPAAMWYjxFNdS8UHIRTLPUD7DToKixcAiCV/QbupBiEBEmjXlfxWLXBBJHltdFYbS7408ron8DBviJYjHlq6n5RLyxp2XpIwwKtmlEtzqNo+BUsc7UfUWKJbspYKp10+8yqNU+3UGXg53BtJ1ZSrh1dWBs1I5GkLeiz99hj0XMZIWnpC4tgjJvzMayfyFRLopFgByiSgjblAPwDYNpI3hI0aWHe3TasC3WI/qN8Yk0lIGMUS6RyHjmgpXzxsbmAPfYjjUZ8VV6UHX3EvbGMNOq6TPL7B9UFmTGYb+arJHtw/Ca/dQm1X1OUcSp8tU6T3dRWRgfl5Z3L5cTY8XT9xcq7c7Bbzs0LuEt5/ipb4QAiL18aI/rqdhnprRDReD5oG3xI+oJIhVO56/XGA1xaKay3EPLvuSWswUbfrBWDyt35cquS6Skirm4gCabIBK6O3NLbmpynusz66SE7XSrXVgGZgMBJ9swMD+s32aeW1y1kucFa0tkWXN7W+3eUmHNjYnKUCL28wOJlwSg/h21qJfBWSyDePb7VTLT9txJoJdBKoJXA/SUBlZoBiugygVSeO/ZI+bmD95WVsZOhwHewEkXgHJR1LUaCPC1wgqJ61K1UGirziWA8JlhK10q1Wz/Xp2EOCnJ1dwxwBm3BG53EZxRLFsg1PgnS6BuX2NyKpKlnl80nIE0ADzMy1f8gK3CFeapzJSKMBPf0F+6eAhPKBZaOUxDnxzwtf4LQCi5jzLBWQYPGBhX+HuYj5Rb0oWeeYC+GBR3XK7p+VeDeYb2hwYx003VvQUYGR8PBRH8RxTXGRAdNEhzCVHzkJ3iK9lnhEHoNG+QJdSDV8AQ4iQutkbkGUr5dy2hSSvXWRR9ca/l0PDF26thPclV5O1IW1pcci/WzzUHZHmyVjcEmLpesfcUVuq6xPTffLeePOecAunsj5dLFUdwE2W9VmcC3SUuylmHBuoGXzNb11m1a/HiuHOms/P/svQmQpVl213fzrblW1t5798z0LBrNDDMIhDQzsgAJecAoWGSwsAwKExICK0BG2BLGBBgbiMAQgFnswBFygANM2BY2SyBbIFsEEsjSDNKIGY16NnX3TPdMd9eSWbnn2/37nft9L19VV1VXdWdWZVbd+/Lb7nLuuef73sv7/8655zx9eojJaG4Xje/1jnG4btFx7/UYg8/0ESXvSZeYmadWm3xXAYT7Y5wL8RwDOF2bO33U77J/11ouApL3cOyj59qSjk4ChKrlSdfZV5Hz0Um5UL4bCfATVlKRQJFAkUCRQJHAW5eAQKJeK5fn6VmTpRObAFzY4gW4ZCIfJlwuzKJMkCRQiJk9kyRBVw05zJv95Dp4JGWxmG0sEyxF3wHmADIRRgMzTjRrbm222kOpDogEGNYXYeigR02iG3s6rnSYMsAm6LRe1oTmGJIxBnWS9OcWJsDW4VzTw4MxAiwrR0NtYkW66UgmHANVIwztHRN8wZrhN+YBmI5NmWjiFhtlIrsRIGNUAeRYn+mUMrSQ1FOWwW9wzKlAnQ/tBKDypIfWOgkAA/jBtx81iK5XzesR61pBMkChZr25JnUhGGDZdnZqB6TsufegbT47mPC6ppEm/lWJ1jS3Fw/uBdO+kIiwKYDVGrDCXjTcHe/wfOC4CK1jm8V9URe6j53upgsreJuF0N5eAxPZQbo6WIeofUQn1X0USLIGlOegjxcdw7Z47lYn14d+qLWd2shsltu6/F4dF9Baev92NZMNtfTR9ex3zvV7ak01x3Xo+4DCXcCmjnneTJpH+9slhucOjoT4crwZEqXNHUggzJ35asXXu8j5DiRWqhy1BPxvXlKRQJFAkUCRQJHAW5ZAgJUaPVTz+TB7ZIKsBs8izQ+d648m6JXQynR57a5jTjASk1rNFrmgnhN/T6Y0K+50WMOMG9PHbP8VZp7OWwVJHAWLgqrQkhGKo07ddhfnL7sBsgzVofZKPrrEF2wB+rLGkPZ8dMET9ALyZAotzEiNrWkMz4maswoYO/lXa5C1jQIkaMCjii/Z6rQ6B+CGa/sMs91aJWQ9Mmsto2uo2vTVw72nGrXQAKtFYtKoLEJzSf8BDkNU9q4XW9deZe2gXNSAKsM2O9aBS9YscnW9RgoehFEdQJo8O4bXJcDN/mAfRzOY08Kj9XKyd67o3z5DHt4I8g7qZBBqu0gUHJTl/mavHWcOrZKrR/xLTqXfxxT21eFr6fHW47FOECeokRznE2cww+wN0jaAaGerkbaWMU9uXEqPtR+J/uKZmOnIftT4ziFb+XZtp8DypUs73N+99IG59QD3j5ydT//X4OJU01x1eeSH8CSr1Te4d3NrnJaIIen6uqNM8SwyM/Rr5m10Ga0gc4J5qya6d+P9VXmvrjbSpSujQwm1cpTjPum0u9ybXda4jrDW8KeppCKB+ymB5sd+4E//mfvJQOm7SKBIoEigSODkS6ADJHusvZk6mC6aQpnFPFjTVYFHTORDY3gwVievatQqPJnbVbBDLVeANGZKagRNaudccxieUwFKNbCUtlXUPgoy1ACG1s71g2x1+75r76ibAZcoA2AIaBoQTkSwJojJAMlQFOMAfAK9JnRtZ15ou1QRMDb5zzBJ4Oc1tDlKvwlgFZBKzxR7dvZlJev4CS6CTtYawgG1BRHZnNi2YXYrjYpWAOGoF6XWiA6kp6z9qIFUGyfEizHFWk3X1TEWaVVN83nVBlnNpqgTdfPLAeVtX2FajBZaoOs25L5mp0reI+6L91lWKmLBl3TgzXsoQJ9N8linCNXCfah5zEOWElRibJ5iLjrZTUvNpYgbat9x/ygXFF3d5n4yyeZ2p4XlcdqabKaN0WbanGynzfFm2kpoJXlGOnMA//hIkz7otMNbjuUFNMh4vpmHlrz29wfpG5Z30pcmi6nPvbmnCbaMXdnFzFRHP7LpC4ipcI+KGbqwswZ9q8lEXGHeGiauds8WkvDkdolyPcZub2kiDx3fIpV06BLwNuxjgtwmxuhRv4A4dOYLwQdOAkVz+cDd0jKgIoEigSKBeysBglSk97ReTqtpI5Y5OvN0shNAQeToecuZO0COtXAjgEkNzAQnggsUYmiZXJ+YTTmDQGAOAFFlMuulGiavBaU1DTFPTFntFFQTzWoRcNFqoHXU6UxVEICLc2nVgC00mbTptgk6CGGBMw+9WQAAQABJREFUqklz2BhL1BX6AXwwETUmo6BmBBDSPLfmWyc3GQRlGUgjzGZjlBnoHfBHHZjX4QwIOLSUgtNsAqlGNJvjBugNOpreCnJHYQ6aaceeHZwJINHKmtTI2d4Yny22WE/otfT51CnALJmaD5sOSuoaObeNVnnUq0ChYoYPN5M0hn3GQOvcu53Af+6sAiFRbHVYzS8b4p7lnClPmTf45OOfu3DIg5w0KY676w1pDNO1xkY63TgdslDmfcovcLyyOUhXAJiax65dmaRzF3yBAZeSrJ6v9eG11MH7SYyfXjSxtbsFvKaG6XIFcHf3humrV/fTOqFOvm55Pf3U6IJM3fOk6ePiQqVFRMiGLrmXSVC4uIT0eRnjre5VQFfQKZhRtrdKhiaRX+Nsrp7m+11rsG/VoOTftQR4XPld5LuClYOmyCUVCdxPCdzjV3D3c6il7yKBIoEigSKBo5AAECudT2siDoAMa+aYcarta+ChFBereCrNoMoJcquDRi+0mRVAEZCwjnDAjFUgp3awdrCixjG8eAp5INVG6zaHakqglJ3o5PVzgho1hWorBXwCE6dX9RSrBpCu0wtAJCZiNiz4DcARQpEGgFJcFPThiaCAmvNmDAXvAhTa5GuBZzavVUOYnfYISCWe+Q2y7FyvGFCPhoIj//FqBuskO7zBBiIDjDF+tatZQ2id3GeEAoE3NZaa49aa1AxohUeO1D7z+EM7CG9qnQSWgsy4LyD4DP5qzuoj7ZUHl/LmcbpFkTQAaFVmyMf+TFGuHHNhnlR4TgpBCTgzKBZk21YZWpaBZK5a7yP2qE2npZU8yRsbBxTwHPeEZ2pvsJcu9y6nq+P1AJhdPAfPE9DxiXPLPIOZh83NZtoHZNb8eXTz+bk6vBr85PtNj/A0fd7oTwrzaO1WFpppHe+tu72DNasU3fPk90fzR25tOMq5xc08Ur5qHlwPKqh0PaZrKnuYIvuC5GZJeS8t+6wT+mTTZ+BmtUreW5GAMlYzrOffkooE7rcECri833eg9F8kUCRQJHDCJdBktijQ0ZS1zRrDWMNIHAy1YWPWscWG1kuHNgIewY+OWGL2nncB1PS06gQ1JvsCET6axrous4XmLHtcpVlVx0m2IKGJZrJOAjEqVpsHwUQ+ToEnGbUJrBrLOk2nZZzIg2Vbe9vZjDMKITStRKvqPHugZeZsO7M9Vvw7BnkK4MJ5PjJMzofErgxHOvATGjTaCVgDVFuDayGfY2gJHAXsfgTFfIxpmcdXtafvAMyUK2OqpDayMz6mcszmtIA7mZwm5Add6UUDz+SHzSyBLsavnKsxVr3s2GIXFGxVJ9vZyLHYPmhIpEoCW8cdsg+AKbkDZmIdrTSkH/m5zHWeOWWaeX0q46O4P+rHOswro6uhcRScnltdAhBWmlg67e1DM/6y3JSx2t+9MSs26cvxaO5cjytqwYfaTuV4elnz6rl0bXfAs1excp8O3nsd5fA4EKMSZm4B6I6cPfhw/aVhMMKzLfdic5t1uaz7u1lS87mygnMfNJ77eKMt6XAl4NdGAw++rvxu3fweHG6PhVqRwK0lkH99b11eSooEigSKBIoEigRuK4HdSTf97OZ709OdS2mhxQR8eyMttnXIc5DUSLbmWUeIS9JmFatRTaLhNUxO6J0SuX6vNtEUEGnWKSAREKmxFIzxF3PqBqaXEarDCXaAATWfOOrhEyBTmjScE5Q16Z9zTUezOWzW+AlO1R4KbAQXemEVwsX0V4bI2wd4LM4vymYArzixjAmdSYBk/VjNSH4041qNbfBl2ZymuWjeqBkjZU2g48lcyCeVInFCMzVoIpkAnTNFji06Dl6RFTKyQfbgapm9o4EUwDe703FYohzrVGOS+g2zY8j3IJvdWtU2CCuN1ODSX615zNCg6idaZarBm7NcUnXgjNq0zW2iKMZmf3WfTb3jAuS8Nln3gK/Mh1R9gSGwlJ7OlXxZYJM+IH3SGWOUfQ3PwJ00wGS2S5gcllZG6vdp7XgqonN4kAJuR2+hAc8s58rxHLFedY7nkvMt1mluTDbSIC3BGPad3lNkcr/TAuFD9pGUnmR5d4As7i9Pgsx5nGP1CIfh+kqBjppNjQFqM1jvyRJfI8OTyG8XrfDBc3+/JXry+4+1lvzGuS42zk/+kMoITqgECrg8oTeusF0kUCRQJHBcJICSMu2wWO259FSaQxG40thm20qNwTg903wpT+wBIUM0k21CbTirF/xoBipgUJOUTVSZbApEBJgRjiODB0GRIICiAARq8dSC1oAngBglY0BDA/AqsFHfJhiSPr3RH5m00XRSMCkQqtd7himk4INtimo4zY6A4Htk+JJhAFnNbweu34y5vDsbsVfjqNmsnVeMRkmAWysIeF37CD6B1lg3nNTNkM4yzQazFlWQFd51ATHCz6Bf9eN53WvUmTh7ZzS0r4Go4CxTpjP+vJZmjI/zGuhJOQAhZZq9Rl3HgaxjeJZj1hz8MKYwR+ao3B1mrlStgZV3+pKHgbKykA518JNpU2gF/9jswwsBYnjE5Wqa6gGSkflwfPVLATUz6FLVqKKhqdtKc2O0FfdvMO6nuXnL7AcnSsS+nCD/rFklD9PaWKtJ6BnvfQwlBqQoic3IZxMnQJlD4opKiL+WLyEAtT0XEd7nJCibB2AOkIHrH3msQ5N4X9niOXS93zy8yJf3xwgvczwHhjnREdEKHm+vXSPECQDT34ACgg7vjrn+1Ue1B7gUxBfgfniyLZTuTgI8hiUVCRQJFAkUCRQJHI4ExDqbC8vpK63H0svdx9Mn2x9MX5p7IoBaxGgEGMwJtAJUUJkUZooCBib9QIiY8NfcZLCpNi2DI0OFCDTCm2wF5gQNUS+AEVC0AgyCIs0fh4ANEY3AwRiSHk1qKQUXQ2bAPbRfodlzRka5/xxrL7NUCe1loA3yBR017JnmUcl+62trBCgTFLsBhgSDxpJ0faljzV5Xczv5iPWX0olPBnlj40vatqIfZdM6rtFU8ytHlORh2fU0ZSCZZVdnOjbm+TEEFKh53EAs5RieXKFfp7o/wZx81LIXkRk6Rkc/WXtKhnLlb8LYlPsIJC3NAHWWVWk6FrrR9FQO8masRbzzRl5d2zpBNjICuAJKfH5i/avc62BJOUBPTXaXFxjzi8YKzTTGAmRDNPCCYYSp85A3IFfGayHlA66oC489/MFusIZTnmNdrFpv+JHLxdZuOt3ZyESPwd77nU1T81o7nbkchzTli3WZrhFV7vuEMtGM1+/x4pIvlFLaxYy2Rziikg5HAj6zvmTgHQi/bcfjWTickRUqJ00CRXN50u5Y4bdIoEigSOCESGACgtlJC2m+tYjn0GZqoeJ08g/cwHwRrRHeYQdMiAR7ToUEX4ISNRoCBEGnwMw1lprKinkEJgIiAUKbtZYNNYkAi9A+Up8WUgpNU4A9r2yDSapACVK5Lke9vAbIAzoEAHTGq1db6MeUV+TBZbSnbBgmt2onya8SxRKMOmrUOm1hyGyyTJLVGOXCMfERvAryBo7TSiT3mTz1MYtV25hNXqtCD2R2mEU6ZpNHqbu9fqqe60TFmZ21A2ByjI/3ADq5dh5PTTvyKVPzqhfd8BwLyBf12bZOB2fmeDXb9+x5bmFvfrwnClV+HGuTNZb5hUAmYx+aLYcJNZUMHJPvdNZ8umbUrnxegJRpAqp0XWKrPUJzlulPxnndpGCnhwZdmX11/Fp6rPmIryuCod3+blpvXuN5o0dAqLzEM8lsfYK5rfw1Gszcj1nK6zB5AQKAUyOsZ9YA9PeZT2NmhswAPGouh9yLPb3MwpcaS50AqVH2pZMOgnQWVNJbk0AXbfbW1hCPvnMsUSjyfGvSLK3frAQKuHyzkivtigSKBIoEigTuSAJrc2fT2ty5dHFyBZPJQXiTZXoZYCVMY9EMMdcPoBEEAU8B6MgLTaWaLAGINQRygC4nrq7fZPoaToT6Qx2yUAOAMdU40iJPr9wLUQBIUSmboApGMhqzP9buDfqhEbUnTWFNlLAToEgX8z6AbwenRRE+pOaJ/N6gR4xEon0ym1araooeZ+Z3nkYTjvYd4U8YR3w4chLJOjqQ8VoNXTtCnViYK2QaAKvqWkApmBCkOcabJbVJAtUaVEopS8/ajj9vspFz8jHI2Rag1W13Q4tnnRZrSGs5h5lxJlg1yhQyzQPgnAsPKjrug6QZKxqt6FAQl82l5a3ux/segBYG0JkGz1avvfzaNgManwm9C2viSns1OSp46S9kKW3up2Fx1ibr6TRBdPTouzZa56nM5tZRO9hj5x8bIornBVHQjzWOT5oFmMbDdB1mvdbxuHCplnWZTXPZPkDTZ0qTXl8A6FdrgVAr+ow6DsD4uMjsbvkwHEkLkM5PWZrHNLzI8m4lWOofhgQKuDwMKRYaRQJFAkUCRQK3lIAT/lcbj6dH2tuAElzaGJoDcKXWcAowRD4kwZzaTcub2Niix2IDfMZkHqAAwNA5kKmB9tIJqkmAIS1NMTXfdAKbYxtW2rVor6kjE9gmmjFns3ZJv1MeQA/h0Edaogkr+McWwEy68FInebWsXj/Yn/SDpLyE6S00gkzdgKNmsSbHF/1Kv/pEYwvlEUBZtxVoZRNQCvirrD2tGenguiJe5WcpVRccakB0kI8pbtUkQKnnmpvKD+fhyVaQy7WxQmtZexSMmTQz1bw3r221pviLPQTiBQGIN64lI/OkML31hMsse1vRtV5ggoLnjEpQiDbYPGm10dbK14F321xdAB59odP0vsnLHJPsJZzMbG7wUoAB60Tm9JB7R3mb+y+4nEPLIy9bYzwCc+2LBtfh1nyFvDIilwPkgWQAQsZrnd4cWDguSTBJJJYAFoI2lzcfR22gAEit2gQ5ukZzD++xajEN99rhnrhe8DjyfVzu8+348DdjHsdJobHHHLx6z3W7JqWsSODQJVDA5aGLtBAsEigSKBIoErhRAk+2rqQOE/UJwMs4mE7i9/cJBTGTYgLP7EiA4Fw/QILXzvarZJgTTWcFkGoPY+0mYCJMNgUNUaYWD5Dqukb6FBgFeKjItFGPaFra6+X+nZDVyXxW5QWYE9CZ6rf/OtzJdQN+BQ5Sk2rKQGqEBnMfhyZ6xdUEGM4FhsE/ZoGs/YTz0Mo1MJ8NM8/cPEBTDaykpwfUDuqn6ElElf8C2tpESFyxZ/U3TAyrStMTsVQASAsEmfbln7JzWAJk5W2J49Yxi0B3CiwBZtk5krisflGgyW7WKgoqA1jaQZWUk9uszKU/O3bLTZpHd+iv5tOjmufQVEabqBa7vI4WYKxQYH5/dxecnAGwFXqExNEE0zK5Co2w+BVGAugzEe/gvXig92LFoMAyG1VPjrCVOjt9/EIByu9G+AdsHvmZzyrDCKC2i5nsIk5u6+f3yDu/yw4EkB3uQZfdHuByY5310ZjIDodoOHH8o6azpLuXgCbhaq99T1LA5d3Lr7R46xIo4PKty7BQKBIoEigSKBK4jQQWcZKyMIfZKnPF8IiKRnJIeAtBhVN9Z/H5yGQILZQhStoNZsgkQ4o4xYy5PicN1m1G2IoKpIQWTIUUk311im1MU/uTXpwHQKKemlK1ldYBDlEGQMHEsw3Am51493G0YxIUCmBqIBQsRj6AUc1eE8DKGMIBDxNkNVqBRJjYS28PE9lF1pl6bt/RBwBYHhqA3zGgSfxkfow7QEyFZGSAU0nm/jXR1QmS+lvBUG4nyJNGmIHa5i5SDdbkOmTEUfkKwoOLGljBX4B51qvmmxDwM0yTh9rdVck2+f7IkH/CN1IQ8x56ETsOgOzq1Nxcxn0XEZmqNrPt1aCa7ENvvTkJUA8IeZZBvKXwaV3uk/m2Flhm0Mo9AUk3ICbwD/Njm8Cx+XFPQrCRGbvce+5/ubvN85GfooMax++sBmY7OM3BkXOYm/qsHMfks24oE7WWW5u8oAEYrREX1/iZZS3m3d8x770vgkaaHpdwL3cvwNLiLUug/pV+y4QKgSKBIoEigSKBIoGbSeAUoUnONHdCK9HBMY8gYALYUqvoNN0JfUzqmWTqzbXJ63anwQHaVGFSN/CbeYI0NI868RE1BAADIakhizAktLS9wK8pGjFJTHtU0JnANEwiyexUANYqtl/ELDNAjdXZ2qytDJhEU/PrGJt2rPZ1H82nmtLcgbxxCl3HogMhpvQHHkfh2wpqWMdo1DSlHaPhE2QH6AlWgWUVy3Th4CTIekHjOXCinOKAaSdObyIOKHXGuWOrBt9xEjsmlzU9rgWSwkPz6vGoVxWwZTBrIwqjjX05FmkCtF3nSl8RlgWVSOYk04vqVTvP1XxGirbSyJugM9aZ0jpAda5VVWUcMGGJ92KW75pY1k5KP2skfT6yqS790Ue+t8b5w/Mvz02m5J2kDYOPZ4WqMXaeD51BmSJ2ptXg2xA4cU9ofX2yPRq17rUw7Wbl8PXFx/BKkAFmC7CGQjA0mt6L45r4aqZTq2j0WSu4tztJm1uYy/Ywb8a7rE6KSrpzCQjUNY2N35ZjfM/vfESl5kmSQAGXJ+luFV6LBIoEigROoATWxqdwnLKaVufW0i++9o7UP9VO72z+Slqc28E5DiarASeYzKPGahFDMOvoGGg1nxQkmPJ0H+DBZCk0dy6mY8KfQ3VYOZtF6uwl4mgCMJxXCVlEXfYD6giT3HqSHZOvoH09mIgeAVTRNooyHKrrC15cF2lsTZP1aprBKVqwCcBTGKbjoaHIrupCU1pDewiOsgbSSaDgzTHYT647YD2jfUQiKyCZA+LcMlOsTTSDUlOWlGc1iJwBaoCnWfNXWwWw9GSaoJNJhRY595rBnGbINTgU/dVgz6YHJPLZVCrwm+USkkRecmgHBy3oSBLkUEZ2lFQAFe6ngFm5RCgRgGFOFaPkt6DRNv4kjXt9nTvZ0vtfaXilGzRzG9ftjgDtmvD68qIFn+GF1vuiOnVav24XXEX+u8efSb88+WAa1Pem4uY4HgwDMo+jHC3A3Tw/zslnRY++bddjosHcBmBew1x2cckYmb7kOM7cHx/e/CpsE/bV73v+dh0f3gonD74ECrh88O9xGWGRQJFAkcB9lQA+WNMv9t4ByHpHSuczK7+QPpA+PPep9NxrT6Z3X3weoEJoEbRxLZ3pBPhwHl9N6Ksc55WRx0k4cWEiGs50qBaAQO0kQMFz4CVgwhASuY0axgHxLKXtJ4CGZRWIuVFA9pz7q0rMkHzkZm3emDWYE0EkgERArNkhf0HTtZU1mLGNGks1ZDXQCmNfK2P2G1pB6gi8hETRTr4sn031zDoY08tmXhsaAHVaVUZzChhXXYpt6yr2IVA11YD4ZmKwlusrQ+b07RrRqB/9C2Sl4diCVJznXnI+RVWSUoivzshHxicNJBBjzv1YMc6qukBO5IZ0uT6QTeY+76045P42uB86gzJX8N/rW9/S7IkUMsJXUkWfOppCd3jufG4EmDETp03tydd7G2NSleofW3e8k76u8f+ldeK3fnHyNmhmKB2kj+FOM+9FQKXrGnd3MJNd5H7c+GwdM76zcyLXwc6lzc0x4TXGrCNMaRXNZgeNbP1VOGZsHxt29BiraazaS18wlFQkcC8lUMDlvZR26atIoEigSOAhlQBLBl+Xfnb8q9LkYkqf7i+kJxcupyfmrsR6vuxMZXZCBBjgMnKqbLVmOgfSFLbCHYAQpvn0I5TR7FbAMCakiJpCgaVgLCo7sQYlGDuxhjGZ7MGkW4DnFnNwulBTaJiT2VmtPBj3Uf2mvXod9bkc0VbzTen7EdzFGk3ONUU11X04kdbzRqMJfc7lt9ECTnHMGs2oHrsDUJBp6HFXcBnjqvjwXCxkDQ7TFKAyN6MQXmN89GfdyLe/XN0YogLLegzKT2KOZTbZzPE7BvlwzaxxJGdT3WWdp4bScTQxQQ3eaTdirPKjTnIKrm1AvQYehnWQJB09yuYXCjUfHB0LH9uFCbFHTHd3dnLPKhhXTsmfbRxj3dZL6jK2eDHAuaDUPE1sW2g1vWduY3m0H0hGa3YX06V0dXw6XW2chdDxTn5/XNfY7wHScPSD411kmeVznDmXx7Nnmml3by7tYiqbtZgNPKLy/JwA/u+XbPlpRJvPC6EeXoPn7xcXpd+HVQIFXD6sd76Mu0igSKBI4D5LoNY+bHcW0ueGT6WnF67FxN+5v3hrBgIEp147HbZM3aEXNdgRrNSb4AGoEWvvNKMUpAEZotyWJq+nICPoRfbBzrwAG5mLFqExxnjTCTAXtTKgkQdhz1CQh6MemfITcA+e7CN4BLSoUdX0NTzZWqviWXJz8OhaUrLxRIrJbYAZwU5FQ6HAdIT9sB+vaZ8Ba16rGqA8eDvY2Ydp1oTVa8FnhG+pykOS9KXcHHEAywoEqlHVu69hWuokvQgdIiFSA97DOQ6XYS4cZrv0zV/teTUAOtRzO/p3HPECQJNgxq/zJo7Z469UM+1JvuFRV3YriUqalPuwSsjGuwFNfCqh6fIuoGlkDd/CorpPtTjN8DLsSKNt1Mj3S14cv2tMfVHhywTHIgAeM1EXRLue1xcltla7+ej45bTeOBNlQeqY7+q1eHoT1YeSsUCPe/J3wvvX6eoFeJK2tseEL2H96womv4TdKOn1EmjG9xOP2Gh7fSfGI1xSkcA9k0B53O6ZqEtHRQJFAkUCRQK3koCao4/vvhNwIfjKmq0MvpjIM7l0c4IUeUzta2CmuamTfz1/Ch4iTIlHtE06ZnFtnUCyBip1/06pZ2lwVRflI7gmgxj2AB4/AhM1WnUF80wBVDnfR2O3jzMZczPtuq51Kq1YjCWbg0bjamcfAmGxWgMZNNEcuo5QM2G1gkEPcgK9Pv1oopo972aNaL0GU3IV3puSF2oLvqbjreRXx4vMIxduRaWo59isXx+HBiFUJspCsM5mcm9egDvOlYX8ZplXUo1K8j4CIOC1V60KYN3+whSYMSFZCMEnyK2FUXMbx09ueskVNA4At9Y16qnm03Qa/VYcRH/BP/2b1+83AH95ZMuE42jgOTbGQjeuU5Xn3DbXr58R4aXPWpgwcx5H5Y/sBTnKxGfAozJYmtsg9qU0Tk4SUBquwtif/X6+jyeBe807DVFy4bzfw5TWrhKj9Bpa7biXJ2EE945Hn1Xvs6IZGpu1pCKBeyiBorm8h8IuXRUJFAkUCRQJ3FoCO+Nu+nLvdHps7jLBSzStZFKU8QHnedJ/XWvKMnyzbFoxqoRXViHddSAiw4m6Jq2mE9Mw+6RlB3tB28Qn5mTVxMwDDQUmfcIk5JTL7CK3UbeF6SFArHbEM49NWvYqK3wRrKHhBKnEpA+zU3lwDBEmgswxALNtH4DHcDZjR/Q7IfyFFpt603WdoP2NcAE6GlEP894gaN0q2VuWTc4QCxp+w6NcC0D7E1bDAuBMIRN3gaByRqzZokFvbz94tl6MIdBrtAhinflugDtjUApkTWEiHGf52nG3O3rjBaSHhtD1nNSHPj51g46tgzl2flxHqSlzA1Axp1Mk6yOE+dY84Wq4T5D2tocmkQEP+r5Q6KPV6qeNzSzjJjEpl1Z4yTAixA33wj7DhLfbCsBq/8EvB73uZm4zG/U5akv4JOYoAg3tNFrNzCctafe27S+mF868K+iclJ1A7dSK5qb5O+Laxhu/Q8dxLN7zMJU920w7u3Ohxdy9NE6nV3EExBh48I4j2/eFJ536+EXvYRpbvO3el1vw0HZawOVDe+vLwIsEigSKBI6XBAaAjKvj5XS+uYbuCgAncoi5YgZgcT2d1R/w7qTY7QCcOOcHxKjNrEhkCHHQxjNNPdV0Rns6AncE2Ik+Oc/TVPf5LAAPbYKWlavkmYCFaS/HSpNKeXjBpTDMQPFF6jpAG2smGmaqNqRZADKOGdoAGkWRpAyMc74mo5rLykPNb1Ril7nLV+I+W0fYFLOiD3fkW8ZmHXOMIar5q2aktdmsIpegR+uA8GSE8gOoKg8R7zMqRa2qHxvQFlm00C7q8EgiSsI26B7jnoQTI7SQMiq4dYvy8AKb6QWw1DutNHwU1B7C0whNLvpctLoA1Qj3Ej0G0IZIyIxbygsAB4IDmFP00Qa80tg+NDcOQpR10QyrFQ2QrtDG1JGn1E39MepIzgeMu78HkAVgLp/lpcG848rm0ZrFmi6uvJZe6r8jDTv0c5ISotC5j3ElNZ/ssjZPGZ+E5Pd60RAlAMpdNLAbeJTtYCK7hGbzJJj63gsZ+5vUZl3qAO20Wvb8G3Uvei59POwSKODyYX8CyviLBIoEigSOkQTWJqfSzmSesCU7FWgCWDKRzMBLRvPsV6AQuZZVM2Lr5Pw8IAHQdSk3mWZpXppTpqmmTtPLcDITBdFxBk5cC0TyekB7ySCoIpCvYdR811QKINWKqWmTPTVeWGaGY6EAwsG3QAcKVTd5aJXJLDQM/SGIqsGk4xNgql2dOtgRKVYEPBUjxbpFj/QfmjrK9aJqqiUSrZihh+i48NrktSwJOj2LmJV1oRWq1GYtoiDYooCdNjLVR2TRnMN8lRSeeuuxUCG0vPRtu3rdZ5jo0vlobNxPAB78Ducqe1Npkme+fPXDuRCTZZweZaSczWtrgDwYAJoBgKZTp+ED2Xtf4l4Qu7ROmsDu4/RnsNMFYAosqYcAacG4O/AGDeTdaI/T6iMASbSg+q0dNVlfyouC/n4ei/SennsxPZ+erUmfmKPPlqASRXna2R6lJdY2zqHVPCnJWJ4rp3Tw0wiPslcxlV0BdC4CMuPZPikDOSI+dXykt13fg+jEqaQigXshgQIu74WUSx9FAkUCRQJFAncoASa2aIuc9AaonM4QM7wUzIg04mpmDpxLKSIvm5TeZCZ1s/o2AbUIyqQb6z0lUqUpXa/BMm2ARWgUMyPRX1QVDA6yd9VAKGTG2kCOgiJJOhSd9mTvpF67BrEbWkEVgxkc0eN0zDa2aZUnDbRrvQi5IbDJ5TPsVhnUo7CBRlAAF2AOoOmo3GuWqtZygCfdGB8mp9M+OMOINNoLjgWxArOcMoXqIviFHYC0res6dU1aVeMQWLfmsrlxLQyL2hXQkxfHrFbRNZd53axudVphGlvdnLpbwKVmugupwwMyh2ZGrkyuOx1gFru9m6c2KimbrrVUFq7xrPixrsDS1NtBa9pvp9XFDvyQS12qpoX5DsdG2pvbTdvjzXjp0HEMtJP6CLotTJRrkL+QdgGcaEEFvCcsKRcew3ipsr0zTosAzJPkiVX+dU50Hs2xQOraxoiwK5N0+jRaTJ4PtZwPa+p2fR4Bl6y7VMtbUpHAvZBAAZf3QsqljyKBIoEigSKBO5LA2bSRllOPyb/TeEFmwKNp21DUUVJ7RnViGR+O4ewGFYxgSBNUtWsQoJzpFaBBzZXJa6nnVGkKq6vwOCq4FbhUtGtvp7khIApa4K66eQC4GpxCOPPGceoVloZRXbSMZlT+4o+D2tM2IS/UiLl2EDyT61Im51GXnmIU9FubYsZ1pbXMI6n2dsQmNJu2p51JWtaKK04EygwxZJTNY+M0xhNkQmaM1cFSL0YRx0xNSh3AsiRcbVqNMrCgdy24DxrVuc3IFUTrrKhe7xit1axCqDnxKNgnhALmqeMqFEgegvcw09BsVnPZ+WYHLWV23hQOf7jnWsGarAvWJKSI546Du+RYuA+et4bwzvbI6kI6t8qaSu57hCKhbWivadPmaTzVXE5Xh2tpPMCx0KQX624VYu0YSMdRy3PX0sW5r6ZX0pPR90ncaU7qd66HGWWH8akVPElJELlCHExNfTc3xkkt5hJazAWcF50ksHyoMueL2AZUjnTqUz37h0q/ECsSuIkECri8iVBKVpFAkUCRQJHA/ZGAcQM/O2qkLovA3jn/MiCvhm2VIxjVURkeMRHOH0GJYSNq4CXnmmKOQWt5rSBgogIps6MSPGawknMDfFWgcrZenNOHU22maAGebixXE6Z7njpZbzY5aW8Y3gL6ApcAOlTwqCbTmIoN1YAN3NtU5ryuCZ32CTBWS2b962hbIRBi7k34WIO8DI7pQ5lpwsrs27ZWt0wg5YQ8NHwBKR1bdkrk2dAYoYIyQTkNbWPyoLltMJezIj80mJVAax7lNqqQ4Z2zsasmQyuKqaxELG9wz4Mw9UPTylFt4wJOeIbeO+7noO8aRylj7hu86eRI+Q2Ry8HrguVTaK+uZW+xV67MpaeW8322jvJzjaU3fmV4joH0UqdCo9mEOfNj+Ww61zobJrlro/XUQ3Mq/FWzOfGNAIBYx0PnJ5fTWuNC6s2hRjuhSUDp+xzjIyL2NN9FdjP3+CQMyzGcPtuIeJ5b23hxRou5tJQ95NbP8EkYx2Hx2MU0dm9HB1m8MIgv4WFRLnSKBG4ugfKY3VwuJbdIoEigSKBI4D5IYAz4ujxZTV9pX0yfGz0TAEfzTUNhDGM9niApA5Dr2KOdnlT1sOqaRL21xkQSjCBoFORkWHLQyuuMl/LsWVgRXl5nJtPXQ4xcIJBU+xYaOLWcwKaAJBKr2s6QqEqdtFMTQOJm/foj6Bn0BHL4z8HkNTgF8anRnAsAk0egpkxT2w5eVx2n59n01rWAB0l+WoDU4BE6rmt0zaUOPTKoZKKpMxxMOwUS5sX6VJh27aOAXGBrmp2M13Kvwd+0x9nBVpnKO2TOmPJ5VcAg9wFnfVSKmV6+M4K+eCEQR/KQyRAwqQbadad6xJ1f6HJ/KrWkgoa2ml95FRgKgtXAhofY5fxSYncnxVo8+1LO+/v9oKuGemePMTJ2HpvgRQ67uNis16dWHE8PyuZc8wzSVcNJ58oN+br203u13NhL7xv+wrT+ST3Rk6yhSrgVU2+yJ20sPuuuH71wgRdV3N91HP6sX+W5yo/1SRvOW+JXc9h4sfIQjv0tCa40ftMSmP1/9KaJlIZFAkUCRQJFAkUChykBtWC9xjxr6uYrEJUn/U7qhSMZMjrBz71mwMM57UwZFAnKrKvWTGDlWZ3jKedR7JHtOlrWy/3Y6iBlgCYAE1hkT6sa8cpK3h/U9Uyiwr0MJZ30RjuOwVAwZZ1qfWPwpBbOcWbTy5ahRkxUc+zmB3SyrU1N1bj9p36QlXkVQAYIEmAKblmHZniPegxBF81gxBg1piSATW5jbabgCdp+rk8huIMsWcnCDB4tyCbMjGWmqppbNbNqSPN99DZkWQcAnDmPm0NbNbZKsAnI7AbIzKFIak1kkGcXdOSBDpeWjUsaJXgSRV4hMOqovaTOaDRJ2/vDtNgRfFsON7YlaU7dxcvNfLVpwuvzpATkI5JVeWDaLFZ0PN7XJhrQDpr20/vrU1nkyidv73jnF+CbQe/vMVjkdtJS1srj8OdMM52/oHfhlF57lTW5W9xr7v/DkvTPpDZXr7ElFQncCwkUs9h7IeXSR5FAkUCRQJHAXUtga7KQroxPpYuNNSby/rETxPDReFMdVg0IKnhS9eEkKptCCoxMav38jKrwEZFJndAUUj3AASChppfLqz7ttqITx2ADHgBikAi+wvEN4MTe7D0K4pivPAWmRfZYD6SANoFOxjPWgV+uQ2OYnayaE+OUYoT2QDM3R5+aidbJcCuyNqdGL7qy1QTNIOtWAZMCRjVr5tlnwGyZtI09qPEboiUEwCmLMMnN7ET9GoDKZ4A36NinwEovrMpD3HYzYFnhuWC1HkvAcPoOVtU0Rik7kYCHXBLnAeeCT/IZt1pcUHGA3Qkmxk1iV2rubKvcVy1PPGPiAXV+YYIHVF5S7OEVlm15xY6pC5AcDbj3/XE6tYqwyZMf89WodvUOU+UpXJ0wtWwHv9lTrezJLzKFb0Foby5rUNVgvrvxhfSF0bPpWvNcPSwbnLgUAFNPspjI7gIwdfpzUtcuqr07d76RdvEOvLebTWUXWZu5iIaWB+rE3Zu7Ydj7qGOjPuCSdy4n+pm8m3GXuvdPAgVc3j/Zl56LBIoEigSKBG4jAeNeYhQZAMnpfwA7YYBzwWozX9CjNspPTnkGlesD5Pjkc7FJbVaZaxpj0bbOL2tNWq1lzOAr07QPafgxRIgwsmGf5FnfTYAjD9YJTaEqwzpBP9rTUXicBROxkpCxBY6JdnVV147OqQ2zDX2Y3MeaRvI79CnIEQjqsdRU8x4XlMMCjllyqBXXM2pOylDhQVnAF+XSHKC9y8AY8Ea7HIuTEs6bgGDXNMboYNQloTZSg2h7U4yXvLr/WS2l5bPXAXup6zi6xkWoAKU0DUFiBNFpfeg7fuuGayKOfkwCXqKGxJiGfQGyMpeXYNsqmNLi3GXF8BqYGmMBvL3FGktCVvgSwZrDYb7ve5NrgOoz4WDIdtKo7/XmZDudwqFPnZSb2lxTvLSgsuC2zVgcz4CPAH2ekCXvan4pfWHcTutQOMnJZ8J1l0M0fT1Apjr0FkDlJCbHssT62/n5SQDMzU28yu6St4LpLGO0/EFMfs14P4JJuGb3vBw6offvQbw3D+qYZv7zPahDLOMqEigSKBIoEjipEvji4Im0lxZi4hfwIkAGk/sYUECBAIfCAkEBECiO7EQJsZmf08HRmn4CKzD5CnAa9anpHHM6z5yeVDQwm2Sto6DrOs0coMW5aQ2A4mLaQtCjeakwF/1prH/0mtrRzrZ5GzP5G6Glu90/50loIKWZeRPYCcqy5aJjZGQx1PocbScIyxAtIxzP2G5E2JQh5q/9fi80djSp2uSx278yMT93kwG053W/Ftp33b9yrq9znv3npKxqeQkyA6iFHDQpBSTj9bXb7KYOx3qr8wxZojltzUzIEhm47jSAbtWHslemylkel8F13W7mYWsDADvUtFb5E35k4nrWYdprbKYX915Mm/tbwbua7VGse2UyjtfiS5OrrAFeg+NMRy3m453Hokf7M1szYuWpdtyXCt7T+cYofaD1WbzNTnWzFZcn7yA4EZAs4BimhwbTsBYnOTmWZV40XMBUlqc5reFVdmNdR08ne1y3uye+EPC7y9e9pCKBI5fA7f5/HXnnpYMigSKBIoEigSKB20lgxGR9j5AUOTZjBg4BypwpMTHMIIpT5oUx2XfCbz77fl9NUvY0Gp5RycyQ0hNrCMLUWmZQ0gE0ZlSnJkw6JA51mwxeM8wQ2Ijo1CwKpKZ8VM1y47wPwOGp3QJK1RTaQADkFuswK0CU83K7zMUBwdl/2HPIRTBj3yaBpbxkIK3JagV0HEk1PkGXSSc4moD2er2oPx1f0JIe8rNNyKCWQ64VBKo+Y7ZKhmOv+cjlIZr6dMrblL/Mst3kHjjW91RZHABu6Up5nNrhaOhA6yx3vhkQKDg+WdKsWG1oaI2VD4vNzp+nGsU6pr16GQConIF8c8P51OxkQGj7S6PL6YWdF1N/nB0NxaCqEcjulQnrKL1mp2y7rAe+MeUwNpkf+7TyY5dRFz0gaQ55akqqBrO3z6uC/DbjxI7OZ+csprKrp5uh3b56ZZS20GbG2sQTPrYbbwrvb+L7sM99m1oH3FipXBcJHJIEsj3NIRErZIoEigSKBIoEigQOWwJfHD5BgPRNyDpjd6rvUaDkuWdcM5sXhgTQ4JhLdAYzDOc1VglwVZOgnSBBMKYmTDCh2afmo2N89gtGazAWnbCTat1c8KBnWTWCGdDVtTRByxoReRI0yUxeGyhYiq7YA0LiwzVVcjXBsn3grRVQHJ5ro197tQVAOM7yrtYEOskPgMeuxSyyGfav5LWyxjLAsxq1ClzKkPSVUYy3EpbKwbpO8AZTc8jBcBvZ7FgJ84l6lLEGUn6pErzV/MijxrQ3pnq+3qhmt/ZhiBGTa0OlHdc0FThLwvswTfVN9SgP1G/qFThClGhaS/gZQHNLU2oGo4ZY7eXCOmsGd1O6tjZOZ88w+r5rKtHErYxYj4pukecgPM5C7+roamqg4VzR9NcUw8gd7k3208IcDqZoc350Nu1yvTPaJvalIVWUqs8U7XAk5P12u9qonDFFjZO/E2AuLGJyTXgPzSw1MeUhP7ED8/diGcDcJbDnHlrZvV3W1fbGyfAdWm7jPJjvxMkdX31jHEObMW5pJl5MY2uxlOMRSaCAyyMSbCFbJFAkUCRQJHA4EthBc5nBXp7kBfCZIe2k3lSvh/PVvHEYnVAF6ALVCDoiBAh5OscRCghbYt1kBc4EN06UBTaC0oBI1LfXuo84CqjIiwkbtNQAqi2TriUxGbXjG5L9hfbO1hCVstUOevAiCsI0FtwEBgJqVrQmFQjOZKVPb/JiM4/St44aVT6dVjc0t/KTP3kcgh7XjUYYE7pr1m2tZV15kBafBjEclVSATKBtBplVX3Q4dUoUNDIvgs9aExmE2AksMwi3rbAwuI/QIQJ0DYbt1XxPJgO0lXiGbaGxtH/b28qxRuIkw846g1xPaeu6UcHlGKc/jvH06QRwMD+lV14ep4vEQFw4Q3zLCEepiSxxMqlrGmDG2hsPEss1r0ty3Ut9DLSzxnK+PZ8aA0Do/HLI66vDr+bniVbyCbQEXKIlXpp9HXAdyRN7oXbZUCVq+HaNIYlXWZ/Tk5p8XvWmusz3bX6+ifZynLa3R2hpG1g/YFo9T6gZyk960qmR32Md+yygtS2pSOCoJPDg/eodlaQK3SKBIoEigSKB+yIBjT8FDerNTAfzWCdIeZIkEIoPha7hy15UyaHY/EgcOiAKgWA9GQ6w4uySFP8Qowve8gcAjezZDquMig/o6hDo2ZVn09sX35ae7DwJwK1NNzPNAGqc2o/gKo9hylFFLx+Cf06v92hrGXDFcTkSabEFeIOmSkD5trzTbOd8W1BHwBSeXTlXBAIkY0nqIda4kTWIzKPJ5RnIqa2MM/hVw5nlXwkTGbIuUiAdg5IHNaZ4VMXcVDCoTObQdgo8MyhkfSTlHbR4bTZgOECP9Z5DzHJhXq+zuffMdy2dIWbNkWKcGVj6AsEYnvbnubw71mmKwVjXvvGaCzpYWAJc7lxOf+3P/6n05/7LP54+//wvosU5WAsZcofG5597Pv2R3/cn0nd/1/enT37qlzLJWjhVB+b/e7/jO9O3f8d/mNbW1lkniizg5WzrnHepklZupBzCA86UuQfnRJl3cILjWr6tbeSNNuykJ78PbQDY2bNovJebEYIF58Fpf2ecdre1AsjP1UkdpwBa81jXXVbGAyd1KIXvYy6Bork85jeosFckUCRQJPCwS+DpzhUmfa3QJjoBFGYJlkAQFbjI6MIrSwUW5uTcGek5/63bcIzGZlEx2qGRcdKsEktPq/Yl7KlBWHsuayaHSa0mbv0by2m1id2ltKq01FhKW2NMeIPPAw4yqMz1pGmPYTpKZzPNo0Twa1JbO6fmDjJZr2euNHNokhgn/UgHOBd82qYej8hOs9Exmjzb2FZnQZrCvq5TytXdNaqhGAezHoP9NKCjfCMkh2fizaiLjEKjSmMTeUP6EJSOiVg/BaEK1kJoCToHahfpQ6omNX3eA0N7BOGoCljDuY7yD95ijFk2tjFfL60Cm95oxlNJkKQfj5B7/ou/kv7bP/1X0n/1J/9zvIUup7/y1//79CN/fZS+5v3vSqfOLKf1q9fSF557Ad6a6Y/9wB+RdPrhP/XfAHpTev8H3ptOn1vFpHYjPfepz6U+Y/tT/8UPpUuXLqXf/Nu/K/3PP/I30jve93S6Mlyjq/zc2d6z5vAcAj3g1/wHLakN42sTJqWakHYAMN7CE524Zct4kJ3HNHYbUKnVdZuHHStoXtawMXMOy3cHfsLSAlpY18wW09gTduNOGLtzf/mLD7B7rBN2Mwq7RQJFAkUCRQKvl8BHlz6f5sc7YI4MZELzKEiptwqgREvmewEUKeuhdohYlBQIqDSL7cxjzkiNkcBN8MFmff/cnBiPMYmNkBycx5rJIMyEE+AooDSEyOXhFYDlagaXmUzaHG2lHjPQ/fF+AB+b1byEE5+4ykBRTaMaP7Vrtamp+CuvNeTEvpm8tpyxk2pwGXEpg67tzM+p1myOtf2UEKmWT4wv50wlZVkkqwYPesFl1pybhnY3V1BjTLZ1IiODNq8l5kFtZIBa66AZ7SM/gaXhRbrz3amm0cr2O8JEeW9/F3rZbNXwMAEgaZeBfMU/HXgtXx5DIwqQzcMTxCgDaGHzur+3j5kmY5ehik8PP/nj/zr9o7//z9Lf+Gt/MX3zN39TLmL/87/02fTpf/OJtL6xlc6srqQP/NqvT7/m/V8zLfdkto7X3/yt33JdnZ/6qX+VvvcP/bH0n/2x700f/W1fb5VIMRZMjz+//mR6qX0ODXIl1LrCA3jU06qgRU2mGs0HJvEl28eMdIdQNn43FjAHbvK9FJxp3KCmMz+zJ2PE3qd11h6vnOLFDECzpCKBo5BAAZdHIdVCs0igSKBIoEjg0CTwTctfTPPDLSZxOZyHpo4ZQwhmMuTRuUzbRYom57bMBQWQAWgiT9BhjLuukCVAzmBfbReAlc0JYkwSaavWMsxHKRWUtirnLoLLs62zaMugQb1ro420OLeQvjp81R4CgOWTiio0DVNhcl2hvAr0XF8oMHIMNQAUunUxVZXLrOU0jEYGlravdWLWV0M2m6Q5ZhIcGkr48tpED7PVqvPcr304tex056O/WZpZolanL0jU/NTnHiNVKqo2ZqGmDJRda8i6RWQ4BFzKyhIeYASgJvkXeAr89/b3AsRqguwLg/mO6xnlWg6qUdwAzOr7ZKlhVTI9NTFDnPbskWcM0ujIffrD3/0n0v/w1/+764BlFBzSToD5gz/4w+mf/cQ/SK8NL8V45fGrV1fTZ3pPpNEDuObyVqLzed7FhFSN7/zCgwVcfObVYm5u5bWYp1Yxm8X5D4rs0HBqcnpS0hpek7uA5GWezeorfFJYL3yeEAkUs9gTcqMKm0UCRQJFAg+jBFoAxOdeu4DTGWJKkOopXAAnwNqF5fV0rkkcQmZ5RCjMJp9RU4hRwyvOvWSGGOAMItLRm6gmmlPAAngVGDmRzNDGRnXK53oKDRBKtl5J10fruHjppv3JXgY1Vo+qAiQAL2abQ4BUeJYVDNFxAGLqWI0uAVaGDckGogH6ACdtQ52Qrgd6NcSsAZ9cZk4F1zr+kXY96iDAlWFLpgkGmpgYm2ptaA0s1YSaptdyGH8ZZAoerOJmcsWjgD/wH5mh5eVaGUMkbxy89hO8UjngNWO2il5rJei6SyW4gKOcZrV2lOIAjco71l/SINPILxkE6RkkZ9Aemleel/CEG0xO0nf8R9+e/sRf+Mvpp7/pIwFgpXlYSVlL+7u/5w+lnT5PAy83RgDn/qiVvjQ691ABS2Xqc7C0zH3cG6NJzh5X6+/KYcn8ftHxe7vM2NRU7gAyL18ephWuu2hpdZAzIPanJsItTL2PO2DrYO47QIOp07NZy4z7JdvS74MngZn/OA/e4MqIigSKBIoEigROtgSGgJWrS6vp0vLp2F7j6HZp+Uy6dOpc+kzjnemlyeMxyACGAVmELSIRjweASMwTqTq2Ilal1YAsbhRqsmm7fF3RqZr18SW6PtkIoGTWCprMR5qPsB4rO7cJEEUngrSAUwAdj5p9emy2m2hXUetgVqc5p+saBSSav9rC2i3qmiet0LzKT7U5Gay3rD2MXgKARt/Q0Ww29wn0EnBCz/WSbprcNjQxpYZb7hH68gvtnJdz7Se0ofQdwF3wzrmAKgBsxYvrLTkNcStApagW0s1RmdQqWsk+7Ms6bbTBXbSmTUC19DRDNhyI4CyPwTy0vYBPNbK+CNBZUtwltbS2Aazrqddtjjz77C5ghst9bbSY3nAfv+VjH0kd1mP++I//RGbmEPfSHI0ITfKR70o/s7GaBuNHElymETLZbBKv4yFNi5hbIoIIVxLm0w+IHASNmvyunmkE0NzbxVwWoGm8TDWXEf8ToHnck55vjfvKT0VJRQJHIoGiuTwSsRaiRQJFAkUCRQL3SgJfSk8AJFrpmcbLrPcboEEA7DERFIqMmOR20DY6jxI8CfzAHOK7ADpkWhC7vq4hZ5JeUWfTcG6YtsfbaX+wn55oZ0B7eXQlbRHrMEhQWfpq9CRq3MyGYI/OBKsCIiu2AH3myYhQTt4EXvJtPc9HEKrXZM7y4LiEbSOb8/ENsSa2XgVJwKMwMQZZNQxQR5a13IvxIpFnkguTsFRSGQTGCbnqB+2xbiTp3ND+naCOaXQAJaXHB2bqfnQiNGkDnAGSlpoMf9LqEvaBtbQjBFX3KaBUC4t+FXkBNJFD9p5LHZo63qAPD0FXzSdJh0B6jxWcdrptgoZQr4EWE4+zTzx5IRzwRMVq9yvPv5D++T//yfS+r/0aTGY/Grk//dM/kz7+iZ9P73zns+nbf+vH0KDyIoD0T3/sx9NLL30l/b7f+52AiuXIc7dD8MzTb3t72l+ZS6+gxd7aPp1+9dJV+Mva2GnFh+zE+zSPFm+fm7ADAFsgjmT1yDwQkvBl0GIVG3N3Z5I21keYxjbS4nIOzyLoXMQsWDkcx6SVv78Vai8FxiUVCRy2BPydLqlIoEigSKBIoEjgxEpAo8gXxo+mn9v7QBo0lzFRGwCSAoIE6BHU6YRDdQoQJT4ONsAKeQ2BDFowNWMLnYW02HVbDDB0hjWWT3WeSk93n0nPLj6bnuk8PQWW0hgSI7EGPJmeuTVAy8DRPkNjWM+wnc8FPxw9Z7sOWAK8AlQBrPS8qmfVISDKcz2jZo1m1t55LjDLjn44VvTs87qNOoLV2Oqy6lpwC5UpsMz0BJeCVwBWTdQjW2g8KuwZWkbkq5YzACJHTqDIgU/subbcy3xXOCKLIUAwLHYBp020uGpB1Ubus3Zya3MzNJKhvbS947QfCcOG6ztHI9QvVYq+LYA/Nb+aFUuvxQuCT/38c+lr3/e+umr69Kc/k/7oD/7x9Lf/9t+NtaEWfOaXn0s/wNrJra2t9Ff/6t9MP/qj/2fU/9t/5++lv/W3fiT9b//7/5HHMKWS0ju+5r3pxY//1DRnm7gqwwkz9zzsaf7DeKKDKU1GdfDjOsy4/w+YIARmK6uNdOZcE9PYMR6F0bCT57O9zZhHxzQ8i0p93kERksQHtaQigcOXQAGXhy/TQrFIoEigSKBI4D5IYK/dTR/feVe6ls5WvTvRa6a1wVKYXIo9IjGnEuto1nq2ey491n40PbX4VHpq4cn0SOtierT1SOQ93n4sLTcJkkiKeJFx9vqdk0nXHkZcQ+j20ZbVW/yTJU+g12KtoyabboIftybgx3Ad0hDgyVcGgfQT54I58pmo6shoEKaiWbNpvg0EVlONY7BHfWlNN8Fjvc3m53M7sr31q+YZpOGoB7aCtzxGx+k1xVS139p0ViAnENXMtYkW2diPrueKevKv1nZKnBNohPlsG7mhIVR+msUGPUD0bFW5ylseq/1G37lW7OXfJBcOVudOyvsT/+oT6Z3veW/6dV//dbkC+52d3fR7v+s/SEsrB1rI559/MT3yyMX0wz/0g+mjH/2G9MvPfS7qX758OX3v9/zHIYMpgepE77Jf++5n0+d/6p9Ni17qPR1j8x6WlM1IXae4v+/LgAdTJpqZnj/fTPOLmENfG+HEi9ddPN89xjw4jmayvNhqAILDUMPfkJKKBA5ZAgVcHrJAC7kigSKBIoEigfsngSHrGn958HR6dbQKIJmk1cbZ9JXR+dB6+Q9PkJSVhpN0vnkunSZOpU56brVpUuvWYrtZqoFlrD0U6DGBFohGPg2ESW41ILrZsQaBNUACwkX7Do5tOoQiCfNMJqsiNQGY2j01euIXNXg1wJT27LmX0qw1lq/vO0hmOshq2j8yUh712kmd7cjDpAkxAmG6jtO8WNPpLNqtSvbh2M3LsskFwacQsSrz3owxW3XtZVM7PWRnkaFUAjRT1ToxpjjW0BcZODD74ZCTIDkn7/F4yHpWwKoOfn7qJ38h/bbf8puq0nz40Id+VfrYx77tujwvmjAQa0V9QKr0B7/vewjbsFJfvu4o7SGjY9kAAEAASURBVOd+4sem+V8dZFNaWC6pkkAX8NUGzOzv5e/HAykYnpmVJddjcv95jrYxl8WAIhz97OFV1uf7OCUBsV8j3oOVVCRw6BLgF72kIoEigSKBIoEigQdHAn00ZwLMz/afYlJHiIvWiLV9q2mpv0EYkU5a21lIn3/50bR+tpW+7ol+gIrp6EU4s8k5YZ1Vzw+r63VCkfQneZ1mACnKAxiyX9taTV987bH05PmN9LZHLqfLaxfTc43zaQj6eap5NX1kdZwWGwvphf6XojeBUg2Qggp91Gv+ms35tMc6T53bZIAI0GJZXx8Nn1rPsSaloBn7dv2jwCYMgDl3AlknwVqd6vL62mNYv7Jr670Wje9w4syTSWg1XsHXmIsJnbcAvkEbsOlRUJaTXMg7MUUJpdKLcC+MjfWTAkxdG9UeZoGVWCrjbIjPeICX1SGyhJbA2ZRDs5ARf9URHgTLmkKblLtg02G7RZ4UMVG1yvOffT5961/8llxQ7Q1Hk+OOXpd904vV1VM3za8zv/U3fUv6C3/tf6wvY53tz1x9V9I6tqQsAZ+fHA8ypY3NcVo9xdPHM/ugJU2B+TqmjjEk8R577do4TE8X0GgKNhcxgsjOu+7/yH1X5ld2f5/fENY+P6jpsdY4rfVxtjTzwuhBHetxGlf5+TtOd6PwUiRQJFAkUCRwKBJgNV84vXHJ4GjcTM9deyz1Np9Og3OAIpWQj6X0cQ6fvILpJ9rGcW8uPTa3nX7to8IfcAlIrw1wXOwCsGp0Rf766FramwD0AC/bw4X0yrULaX17hbxOGqwwaYZ2VNcXENj2cwkgu/4oF+RX+OvF4fl0Zu/F9D6cgDzWfDRtjrfS9mSbGgeAyfph4kmWoFAtnBNTtZZhJquZKYwOcPs4h3efHCtSChkMhp7PgVSAK2sApZqT5QIzec1A0/ys1XVlo0DQvnJu3uukJzSYtBMsav5qG2kYu7KqBUG5mMsa30W8pwaozM52Yv0rwFN+QtuL7Ae9QYBLzWrDORFlIsURgHO3uQ+nk3SqsaxCiPE4IE+qlKvCseC6GqxXUS+lq1c20tnzF+ratzwqv929/aSjn7Wr6+mpp564Zd3ZgscefTRtX70ym5WGD/Bk/bqB3uWFHlWX+Y7o5GeekKYnKTbk3QzV74NhSc6f5zdia5LUXLoW02dykdiSLb4f8RtxN0QPua6/Ja6HNYwKX974zh5yF/eNnC/aHm+P0/sX+ultnfwbJjP/dqeTvjRo8UKQl3/8ZtYvqO4bow9wxwVcPsA3twytSKBIoEigSIC5E6hka5HQEDeJDoErH7Rwk/Ts6QwQ/vG1R5kEMjsE9KBcTOdP9QA0XjNhxIHM+YVhWkcruTa/nL7aO5PAlGm6xJPTGt7Myn1yg2JAfqz3yuCVaTXhUu311UxDb4ihBE3q6dTyTc1TmaQK/EKTWZnbDbHB00xVkKQGb6oFpW7MHQOQRS/Rp0BNkCrglZcMSvOZPXqtE6JxP8fmjJbUH46ryRpVRyBwAaJpZLgRUrTTyypMOB7XUFojQKnl9otzHkO+ONke9FhHWtnm6e01HBNZB0qOfQSNK8O1MF8O+sqOvidoN8M8lloC1jn7pL4jcFwDtLx65TU0SQ+t79L89Z5/pbWyfPBAfOTD35B+9Yc+kP5THP2cO3smff9/8gesMk3Ly3nt7TSjOtnY20mt+YUbs8v1LSQgoBFYBqihzoMKMB2+AO7UKmsbF4iNiYMf3l2gMR+H99wFnB35EuZ+pi7xLg2fwlccMHw/OTm8vt/Ny8CzzXH60GK2KJml/MGlfvogfqR38E79hf3sQfw5jltYt5R0uBKY+8tfxBdxSUUCRQJFAkUCRQIPqQQEY2ebu+l3rHwGzaRAYS79k2tfm4ZMhE2Wi1qaaOcWWngz7bfSgLWdbyb5Vv2R1np6T+crOADK2j7piF9Dgyio47zT6ACeLOcisxHdhXdWaAi8wkkOQEre6jAqhk9RIym4DKcy8k5qqGUElVWXFW2uqCs+rLWX9dFOnXJF7Em1pCSBo8k68REpVrk9nA3V5TJkPy3iatoyxkNMy2CU/RCQ7rpIY1u6RtU4lkHKGjQMgAmFpdZC+sLky+GRd3FuHi+9j2WeGHO/D+iXdzZBt0eT7e2noWkvbjF/6A/92fQHf//vT7/7d/1OC65La2vr4aW3Di+iPC9dupxOn14FAMlvTjs7O0zC++ksoPPG9KP/4B+mv/Q//Wj6PX/z795YVK5vI4ERU8891mAKsppo+R705EsWvbNubPLd4DlbXm6mZdZo3k+A6cudK5dGoU1dWj7ZAKvDj/SH0FS+b36Qupjq32laJ1bVgB/fL+630mcAmvwS3WnTUu82Eijg8jbCKUVFAkUCRQJFAg+PBFYbvfTvL386tSvQ93c2f23q3ah2fBPiEGK5qa98qn05PdN+LcDkjaQysGOyDVBScycoy4DtetgWwJEaTg7dxJeaqaq9rMGltM2vKKn35DprC20jcJ1j0ZV9UOl1adZkNgqhlQFsBnRyVINM2/cBXzlJLINLHfU4FiBkmAU2AOSaG/dRlQgoZdC4pEFLXmjp2OSvwYTvxdHL4fHVclrgnGk5XcQJk+FXvrD9fDrV5rp7PsZszMvajJfmwUOT/n72p38u/f2//y/Sv/wnPwrYPVxjLcHxr/9tvyt94Hf/gfTub/6YnZZ0NxLgZhuyw5Alrsl8WNLWxphxE4+10+BFBsbg1Uus+zH+Dbzb+mO0iob1fgLdNzt2QeVF1tR/++remyUxbfdzX+6kTy52p9fl5M1L4GS/qnjz4y4tiwSKBIoEigSKBK6TwMa4m/6f3XdhNuWizJR++9Jn0tnGm5u0CCbPNzfSo8219O72y+mjC59KH138THqq9SqYSu2FwFAgNbtlsCh4EhQGeOSolrL+1AwLwkJ7ydG6/plCm5lPK3BqqA9MZUGRmrB6dBOMDdD+Ce6MoSlPeZMGGkv54zjdKG/iBaQJQGtiLuumU5ZsygsPaA9Bkpggu2IzcztkPeiBZ9cZ8BBjzl5f5df1miPMbXVGFACY9rEeUzoKiDTPYtbV5oHXVvtza6IdDTAKiDVWqN518/rTDH0/8hs+nB49u5i+7/t/MO3s1wC4EtBbOEjr+77/j6bW6ccLsHyzcuSRWUR7N0SLeSxDdrzZcb1Bu1M4/Dl7lhct1Lt8eRgms2o270eaZ9238vddz0lLF3HW81tO7V0HLP252O/7e3L38vyGp/tpFYuKkt66BJof+4E//WfeOplCoUigSKBIoEigSODkS2BjPJ+ujpfS1n43vWNhLe0PW4Q1WQFEzYCj2wxzFTD6ru4rmL5eQ0t5JUxglxu7aOWMg+mEMoO8gF+z8x/OM45SZ8k5O48Ctbjm6LTHJprpCqii3EZMpAIYAtQ0Ka01dLX2M+Jvyj9bHga9c1kDUelkMIcGqeYR6vIcnl2tbG/0JQg01YDWuJYNNmNVuk5UbaX9G2ey3dJEV6Ca4abmqwOc9GgWaOr3etMy5SFgNe1O9tJL/a+SwwjQaDpmE1CYD2Zvc520MdmC11ZabrkWMo+/lmmMB17CARHtv/Hf+TXpEz/7ifTn/uu/lF599RUcrOyFrOeXlsO5Sm1SG53cZKecdnE69OLzL6Sf+7lPpL/3v/yv6Yd+6E+m9OR70sd+6M9ifnu4GtGbsPDAZmWzZtYi4ljGFy73U4t3z4TMl8K1p655dF3mrmFLGL/hQRr32Iuu3WmerJdbeTpJ6bee2k0XcdxTpyEvzNY299LLl3fS9i6/FfzWDAWZytuXX3eQFvmNe2GIME6WKO5gZPe2SjGLvbfyLr0VCRQJFAkUCZwACbSYZLx77nL6xlNfTv9o831pDa+vt0rzc4P09var6XxrA+NTJsgNfdWixXNeIzSK+Y05OqzhokoCr/7oRm1aBQAps4XqR4+B77yWFptAzrWLajlNaj5GVQiPDqE2nEoJLrvN6z112PtwgpMetJU9wJ3XOgISJHrR4tiHriDV7swXFMu3nmnRCZAHRzCvt9gO9AXMlof2sRqfk+YAphIxsQ7K0CYRmsTB0NcuaxmtrhxMbUKXCAivjNbSbqsf4xbYCTpaaF1r50Gspkz70FptLadHOsYwpTF0+Kt6yzKUT8dmwQDZfOZTz6WP/+tPppe+9Gp65eVX0qVX11OfUCmLy6fShbc9kX7de9+Tvu1bf6OspJ/4f/9F+vhzn0uXX/xK2t3eDKc9px59PJ158m3p3NNvS2//6LemJ772g1G37N66BHx+BFni9C7atIcpCSw3CFsyQGu2stLE0RS/E9V34qjloNw36VtQfy/7favj8gn5vvNbUzJqK79yeStt7gzSudV5ZImn6X1+4wCY57l+5tGV+M2aNrjFib/Zn9zrpE/sFvPYW4jojrLL67Y7ElOpVCRQJFAkUCTwMElgCOL57ORCWuQN+O889en0D7ffn9bGi7F2cnGuh9Zskp7AxPVcYz1PWpgMCrgCCFaCAicBbABegBw9oZoEU07oPAYailzhWb6MI2Ue1fc1AE4ZiwU0jUr241Vb4CjAZL2lgLNGVzry8bJBvTodnFmG2S1lXZzs9Hr70MqlHTSNgkqb1Tx6jGKrsI3wUqvu0rWdKjrqttFPMFqBXRz1SCfiX3IifzoVmhDGRebCmU8Iwb4ylwJJ651Np1mXeSUN24wLcAiOpiM7s7cm3i1Zp8n5iLWxvTHgnDZfxvOu6zHrkCWOPcuJdiR9fLz3fe9hezcXkNKEl/4Eu/t7aiVfSq98+ZX0h//oDwc/v/U7vjP9ux/7jnT2Qx9NgyefCRpld3QS8F4tLc9F2A4d33RZg3mvANbRjerOKLvedJW1l7s7aBEJW6InXUO2qMlELEea/L2y/96+vwq+jjriDg9pNO8yRBRJ8/6rW/vp0hq/Y/zgPvPocjpzaiFGMeQ36BplX3ptC8dRrXThzMJ1v4k3Y8Xf7FOY9neRRe+EyOJm47jfeQVc3u87UPovEigSKBIoEjiWEjBkyOdGF9NFYlt+88Jn0y/2Hsckc5Aeb62FJk0nOrrqCUDmCG6YlzlVc7LCNBktJkBJgMm1gG06iWMG3dKE0zLyXXOos50AXPQfABNgFMXRhfWJ1UmexFqYodq/ITsiBY18Kt0MDjNjsQ9+8sRdvmLtZE08mmka22JilRdhOcZJ8JfBmn3aTi+yc5WmMfIq3lk4OUWLwtgYq1nQzgBzRl6ZzdjXdaMeOY82zqeN0XYaogXec5oHfU2Tmwi01W2np7qP4eHxxbQz3E8tnC7JszIUxDvJDJ6oP0JDq1nuYOo4CBrEXzHcjNrVbrcbprzvff8707vf+/b06z/2ETSVc+m1V1g1S4iCHk6B8jR2htlyemQSWMBUdB9wCeZP8zj6eZgAZofYi4ZmURO/iaOdTreRFhdz3lEJXPlqDruLyo6vOhrMo+rpcOn+xhViDcPzq2u7aW2rn04vtdP5M4tpvpPXstpbixdIajF7/FZd3tjneWqlU0taWtw+vYtwU5/bH6eXR2/OI/jtqT8cpflV6sMx1jLKIoEigSKBIoEigbuSwBaBLNfYtlF3vbPzWnqmcy21BVtQUSunRkwvpRF3UpsqUo3zBGFRMWMdroCKzBwFjMBBXOCjA6Qs4JrgibY1EBoEzQFrsbLpq/lWyHpB2tiOTUqCKT+mzIFaw3wdzoMq2pYNAK7TRJUGayWdCLjZIujQNuhUuwCo0JhNmVv4kXaMCc6kp8ms4C4YhB+EEXXNsoyjlMzT8U5OaGgjTiX5yDC0o4x/ZbSYzqPFbE+It+k4NXFlvvfBxa9NC435AK7h9Raijje6VRacy1Mf2Q0xhzUeqJ1qCizYdG2WGhvvoryGWTD912tV8RE05Utft9G4zirHo5UA9yNAJfdrdy9rso+2w+NDfR5g7Xse12KePuNLmJTW1sfh8Kf+TTkKbv3q8dWMUClHQf+waXYrYfT5Hl/TDPZUJz1+YTktzADLuk9/Cy6cXqSsEUA0fkfrwtscP7zM242S3rQE/H9SUpFAkUCRQJFAkUCRwC0k8KX+MwAXtGN4S411hBWYceJSr08MJzUVuJRMADKOM1ngG0APbQzPEUCMQwdPrgdJoAZcpJEaTM023fo4k3GiWXuRrcEOzXMKVMXEtLq0vvMv27iTpmBLQAfBuBY+ZqBqJZI8CbY4CrjmW92cRe5gPKO7i2oAMuq67jM6ojOb67CnyUw1PMqC0GLdJbQ0QRV0AhszmFO7SIMAttRvh/ZQ7W2mqYwFmYLCyQDz47mLqcfa1L3BbjrfOJP2xjv0Tn7nkVgjGuyTc2W0jpZxGDEpBeeO+SDl8TrakGvIRpnxgkAe674dF5ocxxOJCWzEC60uy+EeSMDnbyHfkx2czcRzfOTd8oKD57Pe6u/YkXc704HPoGFZBnhv9aulqewpzGN3tsbpyhXXSc9UPsRTNXyG7d3DNPYkpGc62anYYJC/32dW5sOi4Va8d4h3++i55dRjXearV3dvVe26/HOY5M+jvSzpzUmggMs3J7fSqkigSKBIoEjgIZHAK8NuerrzZOrgpTS0lSIP/oQrLUNyKAd2askMveGUJGsnA04GmBNkClKmQKUCWENnjEHAiZ1mrtkJTWRJNxKwDKAl6AzwecNsW6DXYgKliataONsKm+q6gqwBXl4HALTrp0tOqGtgxRmTeoGWjnAEiAvdBczM2NrzlOHtFsCoF1g9w4Z2khlEiILdGGckc5qaQi97jc2awACc0FQqQ5xrGG9TfqxjXx1Ma6MOtD06wVaDKF2TY9ju7aTOhDAomKmN6Mcx2NOZ1pk0jwZTWdd1N/c34/w6cBDFWR727Wc4yGs1baqs9NIZ4+e+NOM8k5nDVrDhzSvpnktAE1luRawHvO4tzRFwMt+4lt6x/OPp7Us/lt62+E95tp7neb7+23IE3b6OpM+emkTXQPqCSJB94QLfJcxlL18dpW2A5gjweZgpTGNZd8n7mEOnfZh81rTe1c3gcmOnx8slgDG/fbdL8dszv526Z3rpyrU9QhLl9rdrY9l3P7FTvvtvJKRblJ8Q6+pbcF+yiwSKBIoEigSKBO6BBD6/30lPdpcwqbyGbkx4Athj9ucawKHgKQAfkz4BJPyooXRy6BLEeurjVLU+1/spKj2wDVMfAExevamXSIAO20TtncjHNtqsVUlQZV/Rzr3nFNtrG3Dp+kOdXEh+AnCd9ilaIxNWoQAYjGOewNpNiziSgiuyg1buTlCod1k0jpw1mIV2G9n7rNo/K8uHSfNUAWa0Dn7VvjjGA3r22xckUy9AMPVy60xHUBsaR8Cc5QJq6a8hc4+nO6tpdbKcxs6C24Z2OZCL/cwxqLXxJmO2NnLlBpxvng0ZjVl35diDodjnWJ8CZjqb1h81XRtL/1GXinrgjcVo1CvpnkpA0NOZz+aaOyicFhb9LtQ35nBZ6Y1Wee3RiGdGMHK280upnTbwSnwhbY6eOtzO3oBaB6C3T3jdHo59Omgy1fyvnm4G4NzF4U+PNamuxVxc8PfiDYjdYbF9+i3UmdCCnrqOaVrgu9nxh5W0s4fp/IKhkG7N75W5S2mAA7b1uatpcrqVBhun0+Vru2n+4kr8dt9umOP+enp/s58+NTl3u2ql7CYSmPllvklpySoSKBIoEigSKBIoEki/ALjcGG6EaaqATg1bvbU7mpA6wQFoao4p0pmmPBHKMG2ayTQWDRng0tAfxoZso65Qe6bmct5QIhwXFuZTl63TaYfWcNb7a4BK+LArQZthOuYASZqlWp+ZU5rjjb70wuMqwM064bU2QObBObMz2lougMqgNsOzvLeNZRHTEl49dtrwaBvbOnZBLpoe+dKcVYCb142izQWgCVv9jMnPYVM4AjJHxr3EqyNUYg2mmmBRedaUttLOeBcwTx1w6zxrX5cbi+EdN7SPlEzw7MjK1BCsfBinc4c4mU66zzbPBC/9/f289pI7A7PU9d7RI5cBiOm/DWg2rIpOkDRJbriY1pojwaWguaT7IQHv6TyObdq809jdzs/OUfDhy5wXdn5DfD98NnxOVjovpfOdT6dz7c/yfN67ZyDGTOSjfcwyZx8912KewVR2YbGRNjZGaW2N79khaTE1jfU9ixrT45zegdbyQmuE9pGwRvx2LC62+W3yO33ztDo5E8DS0rn2MHXO7qb1rV60v3kLfxO202iXOLsc35620krv3t37W/F00vKL5vKk3bHCb5FAkUCRQJHAPZeAczg9KvrWPM9lNNlTA6iWiwnwfHYwM8uYGjS1fVEnoJU6EXWPJNoEKOPIvA6gk8EXxQHUWguuxaRT+0ArWINJjyPjVFbtfWsPTAzqQS/ObCnYs32eLOa9HQMfaVunGvTKmc555ALIGO1pzGcmcSHm0knPsA9glA5t/Fg3+K2q55ZVr8zNBsPKDLUqVwa5FeNzHSjX0tMkVsCqI6MtJndX0FriMDbkszHZTJ20gpp1IQ0Jm6JsHp1/T/qVr5xJr+7Np/biC2ll6Qra25ROT06lOYC+XmL1DDsAmH5+/V1p49yZdGF4Ob1j9CJAVBDJjBqvsP2BDjxoCK8CXbNNgsv7YR6Zey97JeCLgg4OWbw5e7to7QBeavMOO/UnPFds7bl9vC/TGy8Z5viunW1/PrYv7X5b6hPvtvZcfNj9z9Lzu9AFVA/6hMWYjfvJ930RDe7ifCtdIz7lGqayy6casVbzdhq8Wdo3O1fGmuDus8ZVwOq64+OY8JPN71dKS/PteIGlmXz+Hbk5t230z10+PT6mNuCyv7mc1vAeu4TXac2QZ9OE9eWj/gYPXQaU5xf20rONjfSp4Wl+x6+vO9uunF8vgQIur5dHuSoSKBIoEigSKBJ4nQT6eCx9Yf9MeIwNU0rmGU4/AowBtpzgZFPYCtRVFGqAaQ0njII5AWaAOdugNXPKYtkErZ5JWnlvCRQAcAI/83JPuXwUawE1jZMiH2joJCf3UvER7Wgpj9W5rQ9SPTWzlSkf1TYK3mZTXaPmITiCZqxjzExH9VnwKtEYGwByiEazHt1UduR4vrhgbDr4Vw7MHtvE0Wwi8+bQkCC0o5+d/k56bX857QMoJz0IAwCdFKdT1Zben65x2uoRvmRyNS02d9NCfy9dm1tKV5qPpP4FotdR/1LzImup5tKzkxckEdpUvUiGMyKALRRYxyWvAE3B5az6KHLL7n5IoMu6Q78cOp4hROvrgMFh8PTS7jekx7qfxDSUtbuiGL8zPqAcHpn/N+ml3W9Ke5iO8g6EzYfv6BLLkfGYC32/5/Iym7hePUOoHGSxszMJ0L201MCMNn/fZqve6bneatUOD48puPSbOSsFw4pc2yYMyTIOfW4AibNjfmb0rvT55i+lFV44dRIvoVbPpq9e2Q3tpTRm0xxhnprtlQCYDY5zWGk8O+mmL/I7vX1d77OtyvmNEijg8kaJlOsigSKBIoEigSKBGyQgfBsAdlwH6EyzRRiN0L7FbMedIDEDRZsK5FQa5nkp54ImgRhHa4dWRA0gIE5zVbfQBgalvLPM9X86CXKCGUDKWW7QgAp5GQIFE2azZTPVAJoBlA6goEB3FmBCqeqtap8zItdpXJ7PHtCup3aZhvCYDeDlR81r5ssx5zZT6lw6BGWU9xzrvmwWuQdtskY4peW5xfSqmgk2G/SH51J/8ck0RsNyuzTsNtOr6SKgkLAOBFvvGRf0htnOq40LaSntp0fHa+nF3UfS3kIXSDlJH567knYbO6nb2c9cCSwrLcbt+ixlRy8BvzsCLh/rPTRsWIwfuoatN15Mr+x/MC0QY/WJM/+W7xzf0bn8cqPJ97HT30JrvhJrE4dYY2PB/nrgd0iiyC+LJuFoR7PgG5PlahvbHeKCIo+tzTGm5SmtrGqufvvvyI20vA5nQgBmlP2MK/9W3aze/crzV+D5PmAPi4TzeHM1huVLl3bS5l4vnQFg3irpROzp8TtSV600n/4i2uD2frq6sRdxL29sN9dcTE00o40mKnKSZri/id+Df7SByrikO5LADT+3d9SmVCoSKBIoEigSKBJ46CSQIQ6ADk2aITLaMzM+J3qay+koZwZHhYxsp4ZM/FUDUifKw14/wKANBv1+bILDiM1YacuEotl7qvSdWGfNZBCGmNCxBm75XE1nlGLelo8d1BlOkoMH6gsKbZmXFWKWGtXIi/loNYA4t6AiNgWM+do2AmS9yrYZi41DYxnndTMnqJmu+MwxBsCWQfI1V63H52TYMq8FqQ3KexPr62BH2A4n2AOOlpY5u7Oko6N915/eIj2Po5bnR0+mycp0sOnHMH87tU44k8EaxnQvBE+3aF6y74ME/A7pOXWRh3kXjZ1Ofm6ntXozLPZwGtVrsG2cTx9e+nS61MIpDK9xmujFlxe/kvrj97JGGhNS1uJt72RHQ4fNg3zHWAPsYY7Phdc3S/a9tCzQnKQN4mK++gqmvGebXPtrc3cpQqGgmR3R2ZvAp3fX2ZuovYEJ+14liGWWDhi/8sr6/m3Bpb8py2gt62RokvOn59OLr26ljZ1+Wn2d9lIP4NfDo0cBs/GOwR/Rkt5QAnf/5L0hyVKhSKBIoEigSKBI4MGSgGstn2gDBp1xAQBNY00mK/BVH+tRCx6FStYUbzkfEiQ5Y4t1kpxGAlD5EfBheZV6Q+LaDVbTzty5tIWn0/W51XR5tJSe23w6XRkuJazA0pX+fLo0XGRbSJcHi+naoJn2WTO4Ne6kUQOw1Hgaak8RuuMJgF8Lr5P7xMpk1VG/hxKOntB4uhY0ADE8eYx1hhW/9cQgAGTFZg1A66Mc63So1pDEGOk1g9E8JvfxxxjVbkau4/U6xu06z7yFNjTE4wpSAXQjXcOB0sLcPCLDyRFazN3Bh285wa7YvKsDjnXTJLxkHjQbMqa18500ZPJpCs+xmuWWdKwk4HOn1q6PWehhObW5cYB7AIx/uflBUOw3pqX+YlrQrHKblylq03lWXQu5AA+722gXedl0FMmwJHxVsBB4Y/qCzLPnm+n0mWbahqdr66PQsPLTdcepDXDXOOM4P/L/90bWKOqs7PzphbS1N0iX0ELeTVpa6ABMW+kV4l6O/OG9g/R7zhNf986q3gG1B7vK9dD8wR5rGV2RQJFAkUCRQJHAm5JAm1nFO+cJZj4yBmNGhh7ynC+DQ5GUk48MKjlhAiwYEyplcCmEyx+9pgJdxF5haqt56cubj6VtNHPbo1NpgFdWASpWXBlQYRZ3efxIOjNZTxuT02lUxXazv8XJbrq4+3J6beGJtDtZyhMgJkyLhN94sg0gTXvp3GQtrYy30AYO6BW+sS2cgkomaTqryBMnCFKhBphUnaaAhxTXgDBMcBlBrJOsagVIDAnYi7KgAX9xHqcZXEY2VcTpesm1z5AMGdIbEvD8EQD2oDlIr2IKNxpfTMPzt9ZC5h4Obz/GG24w5cx+lL3RHh71QukwJOCaR58yQ3O0uU0Co8NOI74bn+mvpne0fzVm2ZN0RW/F5NVJxzfLKNNdB+p7p8N2hON3VAfK0l9curPxLeJNtoOprM6PNnH6o5dZQ5fcCW/87PC7YAQeTf/vrL9aFvfqqHXIz2530zcu99LKYgetZSddWttLq5x322+sWhSob+/105Dj7n6fdZv7mNhmwHq7MczzA/lsZ5i+OCjQ6XZysqxI6I0kVMqLBIoEigSKBB56CRjHcX24HmBJSBiayQBNsYtJbi2kmHo6QyM5/bWGeQE8q/maGsQ66bDml7afTdeWAY3Eb8TrxE2Tjm7W0tnrygStO3ML6aWFZ9NQNQfJPIJAph1MVj+XTtPx6XQFoPabF9ZTk25/5ksLabG1m5Zae+lrzr0CwFtN63hJHBDaQ47z1DlP3OU96Hl0qzWN9GHYDpOgM9QrcSWmDgkFpRguOwH2kGN9HU3Y2cs0jmeUozkBFA8GfbzFdtMXOh9MIzQMQ9SMNR9VN0d6GLcAsqIFJqANeCnpeEpAwKQz1X2AlOkoAKbP3a8MV7MAbrK0T8+1Xd5FGJdSXmptfm7w1vdadmN4wNpjvi+M906SwHsZc+8FTGU3WYt5dW2cTq1gAfAGprK+5/HRN97l/BvjrTth5UjqfIrQUIJL4wxfPLuYvvDStXRtaz9dPMPLtduIaBNQeRkgurXbj/WW8/zeXrq2j7nzGwPTLusIHmsN06/0ePGXfySPZGwPAtECLh+Eu1jGUCRQJFAkUCRwCBJgQgUCHPNqvM8MpY3WagE0Jvj7+vnPsNYKcBTAKYMk36Cri5xNwqVp4jRDS3Ly3DeuA2TWlar8Ht5SR5W5bV1050eAWwUsb9WmB2L9x3uPpKZmhI/KY16D9OnR29HMwSdmfd8+//NoZlmrhSecVoMYlNXorC0UPjBnZZTyOouWb+hY0Gg7VZM12DRWpmswswwdeNQIXCpobWDCa5Zmu4LvL28/lXYv3B8nGqPQHHt3WVeKA5GSjq8EwkSWx0SnNgKLo/biejNJGCdyCPjoo0XVXPcwky+ycJ78/7P3pk+SZNl1343wiHCPNdfKrKWrumftWTCYGWBAQANQEAABEgVKkEAKIikuMMkMpq/8Y2SSiSYzUkaJlABREkSjMCZBsAEBCAMCs/Q0Zuu9qroqK/eMfQ/9zvPwzMisyK0qMzuX97ojY3N//t5xz6x3/Nx7rrUhfPkTkksd32GB+jg3n7amVMydIbUzR1amdEkGUjb1Zg2fCz/ls15EyZUXxUl/jxQe+9dmWq4sySLmPus7Ioyh5cP91EYh+B0iIda2WzyaFnGz6tXbZXItQ5x/B/buk6pTMnNZOVYf3T5f7NnjPs7hXr08Eqj9Z+DITf2XlwmB9rNHl2k4fiweAY+AR+DKIyC30I/lOvakkbUqFcWj3tC+MFe11nAdZ8EDBINViKNPrODcgmT8Y29xMn41fnLhomMiKaCGOE8q4lKtyZ3wWu+xdVRf4SIaZdymtd+2ZVfG4xPBUytnupZLN9mMRTMPDTUOi3U/WYBOhKgyEUcVhYVWtDEy7ln5kvpsSCKXjIpc3Um2Vmit9spib1nlP5kWBTIrYvseRkdSLldqy5DM2LWVzi681apbTrXsMu72MeT9wgd3CQ6Y4hrIUdYhpZqjH3ETwZR7rMJHubRwUN37TbyIoYmohRyzCcHtQQLP+vjqu0Yepf6OxL9jJ5+Vti8SUhtBNGuNoW2hYipXVCR4mhGRU3+5CdQhGlyk9rK2OuY+m+Soz2eGtkDuZbVZI8S148ij/gwJK5FHKZpbddIBSAl4ZbYPAeVaGbvLFnCWnilmIaYdwmpxjB6nGxw15wdB3z4gz33SFfuo7W/id55cXtGzvvoXX7edt964oqP3w/YIeAQ8ApcPAS1IHkN4GkiSUiXVvpOi/AA2gTF9ij87+HNML8WpDm8TxNL1NfG+w53wPvXUjtz/8J7P/Jvvq0fGN5OOTTLwSdRbt1hLDnboAneMwS4myQ4s9FytTjfvPTT39cO+2k+LQimXrdQffaSYpDBAQrZGnkZxvcyr7ATjC34uv/q63f/l3yCX73IwEIWnKpRTCqZOWxQeos6dF04QXB1fuY76W3KWOYsir6qtyX0Obsi82AQCCOocOYlt1NUGJFMqpkhnnljeSRVTeZdMxeGYu2CSfpqZbQzS9kYrZ18lPFa5lnPlnG3VujZfiRwBV6mRDUijStfMR22r5IeWy/AHKNXl5l7D0hmF0IIJ21dxjt0i9/LW7PGREp8t9eyb1ZzVLjE2p8HxPLblEvLtKiIwaFMAdsWrl1fx3PkxewQ8ApcXgfqBoVFp4Ma2j37umzcW+6sw8dzs4qUbphTMIuY1zSbkiXsDF00wdfxCkTxowkqLihxXEuMZNSmKcqV9mbxSp7Bi8BOh2NXrQ9vc7FshH1hlds/5WXNQlaVOG4aOOjhOwj6jWZxtNz8i6uNLha7NgvNMKbT17Y49hCh2iDppd3t2m3zMW/ltRzB3j+xuXu2ZdBUJo5V6+UwlTcqRyYX2uPa37jTsH22Uj9vsxn7vyeVVPvXcXrrzU79g0dK9qzwLP3aPgEfAI3AlECgYhhHpDefeqCWjRLjdpePEC/dy/H5PwYtfSbMbTITEvt+6a/1cbIxz2UEoWMeW05t4BSVKrpMh3d3/2Dk2NgNiScqilJmyiNOseyzydnHYxYnvJClI0eQ/VQPQorbaLdtOMEuh+o8ek+wO57pRsxH/1raWX7nsp+fCxtdef2pP/+RrF3a80x7IEShCPqVgSqXLoWDuU8hP2+Ept9exctjX6tgKPZWKeRZNac76jZPbqX5XXqYJo6Iz+CEsHcOfrY2hFaiVqTqX6jsMqSfZpJQJJkKXWb1UaOof1SP7lWIdMkkAPxjVKU2iGpjDUcbSOGTrz8xzTWH5PPR3S/MVqVzfadvqVtPuLMSK5nP7THygewaf6fXsBy8qI0/0dR1fenJ5xc9qmuLY0SW8e3jFYfXD9wh4BDwCzyGghV2JUKrQNrA/jXMJWdvEK75ka96LSCWL2QrF2B0F5fPmsGk9amOOKEOyNSjjzppFNShY95KEFSZTOOxZpLGZnrW76WeIGY5Cuk3l9qo5K7/S1eMTYSQu0dXUBDTlWjpUhNVuG5HvRbgp77XIY3dbqS9YqzhvGcj2ZVicZGEFqsYwYl6j2QVGum8CuzO5aS+6m2uXfsoiDC5EltBPkUzlY7pYzwsauXIuhxxb+Zcit2fRRGjUk4vUnkaYXuAgctudQbXsMNYWaquwUtkSlzPKMXodQkkv+c2vx+Q//qjG7ynEsJzP2NxSyZn6rPF+o9q3mfyAcNj94CRhsRao5BBEO8oSEpuPcy/JxyxGB3bYv7t79/l5zH22UYBPoHRO2f1af3Q8etd6+n5yHgGPgEfAI+AROBkCyr2sBBBCynpsDbdYzXDnW0YvrPikSMKpdg1Ui6nICumiBTikqolopWVAMdi0WrtgK8M5yo7wT/AV+1e4gJlFIEY4Jloqj5I0Eco9cokFLdtJvXS5lrx5OnjFeuE4P4/vMNd0bS69Yw2cH6tFwsxO4YaZHPe8nl05EjqXY6yrLK9kNN+uDAIimJgwO+Iko52CSmtMXK/nORHdXJI/l3Nd5VfkLAx+5Bqr6j/cn3L5l2c1focThDIXxgSzuqOamgopxlyLMFxFIVwUbi86pyfVjr2KGc/txSLGRfHfXOVSbvD5er1vd2f3boZNO8awt2OL+aZtV9PkbbYtnyseqw4PqVDUb3JyfXTsc5Ce0b2P5/r1H3gEPAIeAY+AR+BaIdDDQKLVx9EU5bEyLLm6c6PewNVljNVKpstaQ3RLAaKTxHKAW2rAZ9L4urhsDuTOcQXbRo0i8hSS78OKhxDnjMLK+E/MWo6wYpRSKkUo5Qfb7fdwwi3a2/3PWiOqUOIlih/pyNrjx5PuslXLlEa5RMRSp2aUOMRqba0VvW9XDgGRvDw5hgqNlJOsqudcVNOxi4U0xjmEfSvu+wxabOpzNn0dHI6cY0uUKanM4ipb4+8VmOlXmrKzl75tZwrW5G9xr79HIgvkUi7NRbZWDXDk1l/l/a3fXuWmHw7WjUc27FX5e923hYLcZbvWpq/j2gB1uoMhkm/8e8ff+5RutlK2K+Bv5dX8182fSY+AR8Aj4BHwCFwwAkNUj+8P8vZJaFPIYx7y0ea/Fo8Rq7CunGXTIfQxheNs0zLk/AQD3k0k/cxm5qyJJX5m1HcE7YKn8NKH6xI+9v3ubRx0UQOCLZsZNRyZlHLbHuWtPSDPySm8sR1Qr1uyZ8VXjzxu6nKYjT4/RrnEQhDcwon8KstdUKmY50fiP3kJBHQOQwimQj8braFFjmxeECmAoOXzaVf/8ixCc6UypmDIfXIhz6uep/ItS0Tz1zFFUiiuotonKw+9xKk4t12r1Khcb+fszjjfMjm785W8baJebjYGKJrKVd0/hH7r6e4H6UzeZmcC2+ml2KdlhVtHS5IrDcLlD/S329k1fqG/h2lIpCR03XRL8Qhw1k5325Ru4pkyUp5cXuMLwE/NI+AR8Ah4BM4egbcHRbIlIZf9nN0nFKvMyqs2qFoj1bQaZGsxPW8DyMjOCJdC/uukCrY1mrN8DyKKctfPxjmG8LEr2xaCrpVTtV1Fpj2I7NFwyXrpHMST70Z1N70n/bsUALyi00SVdW4suivfJwbOtyuLAPzSKZiUUN3NwTxLJ9ejgMmiyBPsYDr2WZSylcFOB7Og8yKXmkueMNm66mpCZvuExqYg5JPlSo6a70fx3RDWuEK+9ufySVXeeBQ5hcriGPvh2hBls2ulcLoiqbIkQW7OdPtortzC2Kdtr9w6eibfrnFXjPDh694CiGRKpLHbtXS/A5HkudPkNTfcBj0IJphqGyUDj5snlwkS/tkj4BHwCHgEPAInRIB/Uu1ZCuv7Qc7+amaHRVjZtvo1a6XbLMa6LCYHhI0O7P3NV607L52TgFhyMFmm8Q/yCQ9yiTd71svbWucBc2Q+cDAtQkdjY4tBN7Dt0S1C0urWH15WWfJ4cN1iWgSTs5diEeXb1UZA5zN2jo1DZC8qB1PHjSCEqi3Jn4aXzr9U/cwmtTS1lj+oxJ3VGVKIbC6bdgppF1Mi5U67Gy1ndYAz7offUGtkIvt/Ka/yd6KGU1yTQ6hEyQZOsJv1rhX5c6Q/WQdbKoi/0FczxdCVNTm4zcH3PQj4dWtSJQOIZNBpOQIZtFu8hkiq5q/CXnUduJuiR98Z9eTyul0Zfj4eAY+AR8AjcGEIcL+WPB9yDHG5UY5hlhjPNUx7Kpj+PN5+BWIpF5G4KTzvujSRyuEhjooD3CXXUxUrEf47M2jaDvlQV7NxvrR652ZA2jneXs1Z+FHvR0DmOloay+RHjrIKNT3v5ggmZKRB2Y80N2FE3l6mSb2UonhWTrTTxlKgUGd1Z+AIppTXq2CK2uBm0Bp58beze3fwdH4XZyN7jHrZ6LZQL/cUtmnzjk7gjvu7b+WNYJQr1pQXqZBW5i+Hbp4V1hq0m3thrd2YSKZc/vwx0wPrkf4+8hjyekjawDAs8Ah9WOwx0PmvPQIeAY+AR8AjcCgCMgjJUXG81q9ba9SxCDWzN8zYKiGiXaztb2qTQrvVK1kx2wUbFh1XYWV68GSJQJN3Ke9JGVX4dn0QEDkTvVPpDdbCppIc591EcgqluOyH8i9fJiyXKnTx2BHczuumlY4hUyKplgrDLVwARmdxDn53u2C/dYvaJOOmM1vM56wQUseylrE8f5Mm/xyl0hmiSk4XYfEsHzvSJse4jM8y2BF5VPhqavwIyItUfiR3JvhcYa58xzYyZDuqqRyTLIqHekjlJRWkH0Eks0Tl8No5a/M8cCZoKU8ujwLTf+cR8Ah4BDwCHoGjEEinCBVipTLCpVDlR3pYKw5GOavfcH/6/gj1sk8xclfG4CgEL/F3UprHcYeeXF7i8/SCQ5OCqdMr4qRSlC+rJp5kGCKxSrnuEGqq/EuRtxdpAftpVzm5nleFHI1NGMnt1tW/vCL5hUNw+ZNaaF8tQ6LGTbmX8zORvfO4a9VW2uaKsXqZiZY4CUpZyCabHvv8wRZGX5cuj5zbeaiNGZnqjB+ZDnmSnYYjjy4f0rm5SrU8mkgKgJEIY5abgtxhGKBIDrhYnSop8qhfGimVY8OzaYD5sNhpqPjPPAIeAY+AR8AjcAIE9O/0gLu/qgM3n56BUG1TqkMrVf4B9s3lYl5VGKS+DlE1dpVLhZLpDr5v1wYBkT1pVi0UzCLk6UXJ3mkAyZEz2SCktQfBfNGwVoXZap2v6MXzI5dxjmqXMh5dxjviWOOyvaeZ7key7fogeK4851wpsoVKx9YwKipGXVP0a7+zZtn8vVON8e3NjI0qnIALbQpp1QHHxJB/eByRJKQ1Q15kmhzJACIpp9aTkEc3dHdjA2Waf68ciQyLNpAaGeatT3jrIKffjBebpyeXDmH/wyPgEfAIeAQ8AqdHQLkmPVZdM+lZq4+qthDM2rMdbAaPdrE//YH8HhePgBZfqlqvhgIr9TIxLYo/9D+vAwJyXY1QopqNWE3Mkg8p8nZezeVf5lPWwpQnTa72i7q+6tJU3qVucJ0XKVZdTYXzDojMaHeGuMhejZsrT8i7/E4rZ18uQLYm2tI8NXcfEarfCmy+qIz5kQ26GxaEixNbHf2yN0+kygVFyatmpFMiuYEpY52USn5AIOOyH90Theu7sGmpjNyNGHEnYpjJOQLpCKXCWnmMeAzcDdGzufA9uTz6GvLfegQ8Ah4Bj4BH4EgE3umXbB47n8WwYtvDTRvmPbM8ErCr8iXrLJFJaQVahCrsbBScPHzuqkzTj1MpZHGYqUJkR5xihYOeZxNhk5mQwk1TPL9ISC6RntaVmB5foOcy3CwEVsqowm/b1AmVw+55Eu+znMR73ax9MuxbOYhDYNV3EROyBcJjVfeykh+Y5neatlqnDmaXa+OU+53mGMm2GVTJcHvNMrVNZyjmciOTL494diGtLqxVxBEiSWir1Mghf7tcbiREc8hJPa9cXQ3Nk8sjTpD/yiPgEfAIeAQ8Asch8GwY2TrkY4T73r1omYSq4/bw318NBKRgaRUpoiFyifGFb9cWAYXIIig6F1md8iyE8zybCGVE3mVnTNoUWn+qxvbpNOG1XJZwiHNpMh2Sekn6HurliNJClKp4SafbcxnolE5X+5gnwYQP3upbwGhtu9HjMbBbM6jHufkpez//0f/9bmRPChnrnDOxDPh3JFPdtGj1IWVBjg5zlVurM9WRSyt3K/o5SCTPUieVlOtKRRFdE98QOOX19TwEJ/7Ek8sTQ+U39Ah4BDwCHgGPwHQEFGD1g07JljJNm+9VbRMV07drgIByLBUe65JrLygW7hrAdlWnIDIlda7RlPGJaj3qBsP5LcozEBUiODH4MWfwc1rcRIClKJ6n0ipn3SYmOCKWPcJwrwq5FJa/g3Psb87XLYKEJy1LNEIxCqw5KFq2MJt8PPW52k3bW9sZ+04nZ91zzrN0ZUJ6bYvWn1luZ9VFSrhBcf2NFAMtIplBhXQkUgY7MtyJyI+kLMolywX35HLq5eQ/9Ah4BDwCHgGPwOkQyOIcm2YhsFBp2FarfKXNbE4382u8tdQkcQvWpmlyLj29vMbnejw1EcwiuYWqgzmEUCUlOc5j5iKuISJTC4LYwxfstGpphrFqjHoo1PY8mnPVJexf5FLeZamQKI1zJNxnPYc/rkf2S5WWfoWt2e7bxk7L6q2BPVguHXqo9WbaPuxl7Af1jG1zB2DEDYfzbAFlQbK1bQs3VyxoNXYPpRDX7syi9UszcYir8iXPOaR19+Av8cKTy5cAz+/qEfAIeAQ8Ah6BBIEHuQG1LmsWBT2bR8HcGF4R7/5kAv75eQQS5VLf+FqXz+NzTT8RwcwX4pDVrkqVROdD3Bx8kEKVJZGhkDjbaQx+FO4oZVFjjBTTew5NpFWutn0MiKRcDqn1cVVcYwXHw15gH7TTlm/VbWWzBb5pu7OQt2I4nQK9C6H880bOtkisPP+SI6jOkMlo/all6tv7Qu/7hbJ1Fm5DLGd360eew+k9ly6nI3suh/KdegQ8Ah4Bj4BH4Poi8E4na6/kKphsdCxMkwglmet81nvXF8RLNjPZ9MflRziZ5EL5dnMQSEx3mg3OO8rieRJMHStfIPy0PrBymVBsXXcnbBpXdQcnVwhqnFt3wh1PsVmhiJJLqLDcaQfAoXDeq9Lg3fbtTZTKegMzn9BuL5RMdS8nm6Le9bf6v3uPiBMlaV7I/EaW31y13PqHFuACmzSFwHZnb1nz9qtEv+wfZ7LNZX/25PKynyE/Po+AR8Aj4BG4Mgh8vRbZTxYX7E64ZVWMfurDS1dt+8pgeSkGqlyncQhg2pPLS3FKLnIQKvFRLJCf1xoapQQt1K/zKYjfacaqupVhlKbkh0EUTxd6qnDaHoY7cr09j5bD7EghuC409hyPcx5jF2usZfLWJF9xVsR44vwR6Wsf4gD7xlbOHqNkOmJ5PoPY7TVFvdwMKmoEscziBrvbuNZUZ7K9cMf6lfkrSyw1H08ud8+qf+ER8Ah4BDwCHoGXR+CNZt5ucWd80Kavc3JxfPlR+h5OgsBQJhqExjohQ2GxIphXVE04yXz9NlMQQDxSfUeFnor4hRC/86orKddXucd2KHehXM+TNpHLPqQvCwk8D/VSfUb5tNVQVlWuRWVUrlKrp8mdDEsWVjdsrgzJLIX25krWtoqBfX+LEh2EQF9EC3odzHo2LLf1bL9ayYnvVhatO3fLeg7c87lJcBFz1DE8ubwopP1xPAIeAY+AR+BGINBjJRakMvapyqa90V66EXO+tpMUkRwrl9SaoabgEGOQqxmqdm3P0QVMTJdARN5hWwQTox+FsJ5HE2mNIJV18i8lmp80/1LbjjDbGRDfKVOx82gh8yey1JHf8+j/PPpUjmhskpSylVzZXomq9qOVjj3MztkOKnGvA1YXQCzlBJtp1qyw+tjSrZqlJqIgBvmitZfuW7dYiV1hzwOIC+7Tk8sLBtwfziPgEfAIeASuNwKl9NApXW/URSyJu0JN8O2KIoBquZv3xIJQi8KRkzGv6Hz8sF8YAal3ym8UuWyRhxlBMM9FwVT+pcqhcIxyKY15zvF/P8Qn9ThPYR2TUlMZj25vaL3u+ZY/eeGTNLGj6nJ2CGfOKt6Y+0E9fpdXcYCN+h3rFLvWCy5CfqV0S7+PUrlKGOyKpVS3ctxGjKs7u2Tt+WUbUE7kOjVPLq/T2fRz8Qh4BDwCHoGPHIF6nzv8ff55df/CHr8w/MgH7AdwBAJatcdsMi3Xj5EvRnIEWDfiK4WHuhBZmfygMp5HCZCAG1IKxZVSKqOe4/I8RXKlXg7wEcuc08peIr5zpkUhbYm05S7vXRaVZulCgEPO1WSgQTvIWoFakhm5EmXP93INOBkBuZXhxoplGjt7aiXnalCoQCqXCIVduFJlXU6K2Dldgic9vN/OI+AR8Ah4BDwC1wyBCcOIazazGzmdXeWSkFiTA4hvNx4BleboIkIpP1IpcuehYCqcU5dch+MoVPa4XMosXK9FGCijOZfzozlmc+SbNkUuR1auxGrpuRzsJTsV+Q9QfGVENPkb26FuZIaanUXrUWrk/FrQbaNUPiO/cn2/Wqm6lU6tvEXdyuhaEkuh6snl+V1bvmePgEfAI+AR8Ah4BK46ApiBuIZyqdwp3zwCQsCpeDw36iMrlhQie/a4ZKlh2awThsoleFz+pcJnR1yfA8R1RYKeR5MbbYbQ2F4/Lkui8V221qYep35LdQPg4G9rC8dYfUqw+7kNO1fbsvwa5UXIsZxsLrdy+QG5lTPXllQm8/XkMkHCP3sEPAIeAY+AR8Aj4BE4gMAwWam7sFikJN88AmMERDDVVAuzkIdgniA/crzriZ5EWJXb2YIwFTGeOa5/jadNyKoMh84jXFfqKOIbeZcoqqiDl4lc6sZPG5V3QHRBkVzVaa0T5Cg/DDYdyoFkR9Y/o/MlslpMDSwDsbQPP7BUH4DGbSS1cmbRlRgZnMYCOOngCj57cnkFT5ofskfAI+AR8Ah4BDwCF4TAJLmccHm8oKP7w1xyBEToRAJb4xxM5Uu+aFOuYE+urwPUN+5jIBKa+tMx1L9CcI8ijY7scXiF64rHKDT0TBsh/24s1PxUTqOU0vMICX6RMXfJN5WJT5Fc1cNaf1xa6HbQtR3I4NZLBHDOpAd2LzuwMs9CWUrl6uYT2xgTywCsglzJtpbvWb9QtoEckW5IuzkzvSEn1E/TI+AR8Ah4BDwCHoGzQ2A0XhQqnC4uIaCQujNetJ/dcH1PHwECyo/UFaFcxDwK42lJncik8gRVOkOkUmnbIpU9yJJIpe5piDg1KQWSC9PUs8SPBsKpbQ6G4yZjEcEsyIRUnZ1hU0k3aQdyAABAAElEQVQSHVPmQRihUurjDDt/0a5EymXgw9gmDXymddfHoKsY9O2XKg37nfrMtE0O/Uy09d/KN20507Msb+QXxGkg13Vgf/F01TZrsG5aNhPYJ+8t2KPWsnXKJffZTfrhyeVNOtt+rh4Bj4BHwCPgEfAInAqBIQvFpKWGJLR5bpnA4Z8nEFA+IpVKrF7DMKaYJuySN0e0JD9SJLAPcRQ7VY3KPPmbzojmwO5SNZXf6ZxQUTebhMqK5BWKbA+pCniTmP4kx1a9zEKRfs+QYKpvEdhudwjBjF8fMc1z/0rR6sLCYXAC1XiAHNzpDyw/6ttvzu7YP98pW3t0uNqZTEChr18M2/bZsOM+cootmPc5L99955mtbMY5liGxw1/5zD173Lllj8LLwLyTGVzc8/FoXtxY/JE8Ah4Bj4BHwCPgEfAIXC4EUpk9Aw6RS8cuL9cQ/WguBwIy3SmR76d8RClpKd2ImNIcUayNrF6lbirbKNRU4ZzlCqokxC0hiZO7iiCWIJL6XsdYXAysxPYKT63uDK2O8U8Sqqr9HNmF7Spfs+9cZCd7e7nXeSQ7TU2OuRr/R9YgdsoxFSZ6nKiVSi6ct9np2YAY5K/m6ubKDB2xc5bZ/jik8iei1r7f/k6vb2++t2oPV7fd3gXI5E+9fs8+zN6yb6dyNpKseQObVy5v4En3U/YIeAQ8Ah4Bj4BH4IQIqMAfBdhV4zINuZRxyLTF/wl785tdcwQUqhpRm1IEU22a6U2b8NkRxKgASVRKb0aXl2TIY5oMfUL6Tgx+REqllCl8VsRSxkLqRoY2IroimHqfjCVRNI85zLFfy7yoWjVHoD+qvEsdV/MS6ZZqedL2hTnqTGZDqzZ6tlPvWaU0sNsQwSemgqL7myj0p3Ndu08Y7INsFywh/mLTPHeplfnuk217fyUuahLlMhaV79r3IZZvt6GjN1O0dAB6crn/OvLvPAIeAY+AR8Aj4BHwCOxHQBXqpVoq0cw3j8AxCDiCCelpoCZKvcxMkB/lTooIlsoxAVRXpxH/lM8p8tqQgywhtAqnFWnUI18gR5PQ2Z3toVWkgkI+NRYd3jnach0n/lTHTOHIrx2hy6HQEho7HKYheEdufi5fyvgIfm755znhkcebC0hgncmDQ9s+eFZn26H9TKHH/aOU1UYZ+3/6SzaEPAaclb9d3iLcOE7jZK99CufKRs3efbppfUim8JibWbAnc7dsqwer/AjwOHLSF/ylJ5cXDLg/nEfAI+AR8Ah4BDwCVwsBmfqk+igXclb5SOMArxZuN3m0IlxlFMRGk9BXCEqiYIpYSlV8GZLnyCT3OpyJDQQyUdKlrBXKlNrIECZL7meEwpgnNFaEtEDYbbMxgJimLQf/OYlSetj50/Ei+m23CY1FPTyuBudh/bzo5yMMkBTqq7mdxq32E1Ifx0x4vhy5/NWnGy24IGQcfGZTffsbmYf2bBTZ7XSH3/fIOuBcrXedg6/ILBDzY2Q/eLRO6ZO+e//KYsW+8PEZSrSkbCtOyXzRqV2L/Ty5vBan0U/CI+AR8Ah4BDwCHoHzQmCUYbnEojElK0/fPAInRQCCqRBSOb5K/BbJc26wfH4aUjTtcFEuLn9C2p9TLSe3yUMgg4AwWYitHF3lYCsCWMBoyIXkwg5D9k9I6eS+J32tHEfxNIXoyjToopqcddscU8T5uLqfB8f0M4XmrkwstXi+HKI8jmxtu40APLSS+uS/JWsRqEDoK+Bu1gbWhGFGhB9rvtuNrj1c23Tfqf+lmYJ96t6s5eT7RQ6qb1xrHgSPgEfAI+AR8Ah4BDwCHoHDERgGWcLkaF65PBykG/JNvj+0+4Wh/aibsa8UOuTiDexf7MDeDmkiQDmInBS+fAEKA6tR/cppLSVh/JDvntve5RrG4a5liM9kE2mUUlommVNErIZxUNG5yqZdrUwRTLXT5CpO9q/XqtCTox6HQmNHg/Spid7B/k7yXoqlxi5iqXDf07Q84MpRN2GXbm/ez5dzqJIDCGbH6h3mQTiswlwVJjsadSGfZq/cKlgxn7NGu0so7R6xnC+F9pn785aHWSo8dugMvzy1OuklfJrz57f1CHgEPAIeAY+AR8AjcG0QGGbG7hzIThQfuDbz8hM5PQItCNujVmC/VGrZLOrgEuTyN2YbJkfRw5rCWOUJJZVPih9cxuViJttrMf5fLtTs1RaJhKdoUkLVn8qZTGsiSSqLInfXGmGyImYyDxLJbbdjd9nDHG2n9Tf5WYa+s1I/OXRrbF40+f1Zv5aRjo6j+Z6WWM6kB/bLpaYh6MaKsUgmD6nHqkm5NFfgEaFOKn9U2ZZY+QxFP1O2UMlBLDM2gDj+iFDYjSrqJ60YZex1iGUxH5/5EX8bbnpcQ46LKeLh6bW7RPwPj4BHwCPgEfAIeAQ8AtMRGI0rxSssdj7zfdsc/oThY+LbDUWgBan7Xjtnv1Am6ZA2T47jv1tp27+uhVY/RHrMh2mr4+aKwOXqWqo+osihWjDO4/3S3Z59sA1ZiT923x33I4QxNeoDiJ6I0fM7qi+n9JHk2aDupYxwCpBL5YM2nWutFMwx6TruYBPfq1+51eqIUkeLeYjm84ef2OPlXvYIOVUdUBHa0zb4tRUw8kmcXrW/C0sWyQT7LPGudxdLrlu3Da8cXR+fF52rtx5v2ofrNfe5HHpfvzdnmXzfnvXW7DYOsSKrN7mJYv98qW0fz/Vuup/RTb4M/Nw9Ah4Bj4BHwCPgETgJAkPFALrGApLC8ZXso5Ps5re5xgg87Qf2BzUMX8aM6tVc336h1LGC2OOUps2KkDpHQWAuImRJ60FM3Dvtiqp5miZOE0JcFXZ7lAqpMNmZCnmSbCQVU7maLkwX4tR1+cSnOWq8beJG2+mR26l433NqMkHq47L7IiRYQ3rCufrDetFanJse7FqPrp77PcJZ++RXUmYI8q1HkDxDONM8dEreX9lxzrADwuKzSL+fvDtnt2YL9mywZm+2f2A/7LwTE9cxGT0nGC5tt1Isf6HcsWVUfJF2f9/t0p4qPzCPgEfAI+AR8Ah4BC4FAukMqky8ZBr2KPEQbOEe68NjL8W5+QgHIYL5P28W7A834noY98K+/catpguZnToslEW5rCq0U2Y7cntN2h/U8hZCTuaU5HdI0xX4Cgv4gy3LvQ/xmuExBE/5nyUUyzw5iyqTojBZmf84k5wXCG2V8ir1UqmGvXNySZUrrHASEZ6mzB7E4rD3Ipj/a22WnFfCV/WAKOox4jHgfReG3YdsOnIkggSxFNFc227ajx6vQ0TjkiOvLlXs/q0iebPuNoEiZ+1x76n9sPvuYYe+1p/fyQzsb8017ONhz0rp+Hr25PJan3I/OY+AR8Aj4BHwCHgEXhoBLSTHi8lBh5yvVNtK0UPWldNVqpc+nu/gyiDQJAz2B8OM/eudyLrIkxEL7E9FfftpzH6UvXewKV9Qip/MdJoT6uV7GATNRUP7+NwRNy3o7qfo97nGtSmiR2WMY5tKkCiUtkwdzA55l3VIpkp6SBlU7mYSFnpsR+MNVOJExFbGPmfdRHo7EEs57row1pc8QItz9S9rc1Zro1bCiDXXyTMkZbINydRjyHdrOw178/1V6/RiRe7ufMleW66wX8qedXbsWX/dZtJlRzAHp5WcX3IuH/XuxfTQfr7Ysl+bbVphTCqTMSVxHsl7/+wR8Ah4BDwCHgGPgEfAI3AAAVfrkvC5fhMVsxtYmK5h0vIEex9CEkczqB8RC9X9rp0HuvBvLwiBmNSNWO6fr4aSgYD0IWtDHt/rknVWN6tww+EOR/5yueuO/q1WzpHOSepVhNF8tty3mVKsfolYbuG4utIL7E6WkhgifVNyN+UxM0mGJuFEZCPcU9/GfU5+N+21TIYqM4E1IZcNPGpUpkQKYQfuGoaE2DKnkzTlQMqsFtEP11j2G+eRnmTfo7ZxhBWym2OcZ9WnjreN3cybg1n7Up9X1LVMEZEQjO17g3H4u2a+Wa3bG+88s2ojJvO358v2udcW3VxXNju22UrZj936nLVSDft+923O9cnwOmrOV+E7/UZ9IeraA8LA72Z1N+P5eXtyeRXOpB+jR8Aj4BHwCHgEPAIfIQI4fBbKlu61bUR4XXcnZ+Fs24LhE4gFZR7SRSgFjpKss1heW3N41/qjIgqHJ5sXedJm6h3boTzEYtCBOAztw/7hJULOYlyThFE5ld/rZE3lRMpcDT8bduyLhS5kUZpWvABX2GqbZMctcv+Wg66VYItRLmOfoFbJ17by9p16zv69uZb9+zMj+98Jt+2fhhvr2juMeR4yWamoBcJkpV7WqedYKo8JJj5FMgE6SVOoqpTQFoS4D0E+UBXlJF1M3aZF2LDGl8Oo+ZTTmtpf8qFuBDy0yD7BjaA5zpNcXvuEvKopTFatTV3Lv3y4AcGMDZsWKnn7sY8tUgcztI2dlm3VunabnMtmasve6b6/R6/OcqBuJJfrRwW18sv5jr2OMh8Hcky/Rjy5vFznzY/GI+AR8Ah4BDwCHoFLiECqkLMMOWp9wmK7tYzlipDJbNvlb9mw6lbAKmuglWaY2YkXnCxkRyiaO/3XrDcUAfVkU6c2LvbA8xPI1t3TMKjDLoxYsfvK8o79fmPJGsMAkhdrSSJ9Z9HKLKxl2PMN3FyfkYPr5kDfs7iQ/gY5Z99pZu0bDdmumtX5sYMKWJWc12miCPatRdhoB9LSgVwqNfIZCt8TlD6RszwE86fDwIqZjO00sjZLmYu/v1izP6jn7QNUchXAmWwisJPC5n9GKZR/vv5iRFoErgKp3N5GwaQeZrkSOKKonFCFvJ6kReRD1htywVV9zZPscfQ2nRYzZsohocPnwdc6gPd73WXLQSr/4+JTVEfdEorJpcKD33qyZavbLTfIdET47J11++Fwx740+rxt1Do2X8nam7lv2gil+Cv5L9of7/wZNxA4KftP09GTvELfCp85yu78zVmkeSZ5nKjtyeUVOrl+qB4Bj4BHwCPgEfAIfDQIhFHHwvII8xKMQHCMbW1mLbvYG9fci3O3lMMlx04RmhSGIO69tW02+wNXlH2z87p1h5WPZgKX4KiqgZdlQf7xQp9wzJS9vTyuH/qSY8thgtOFmH2vM+PwV7Zjro1eSHincgyzLP1n0l2eYwIgDtAgjHUnODkT+mzUs7sKBSwEFkEaP5YlNDDTRe0a2TbK33K3Ya8TKtnGOTXPcXrVvr2HKiZjmAxEMg95rBS4ZnAbzSHv5bgRIZMYkc22yCfjXdvucM20HeEMqbn4E9RmnM+W7I1u3npjQylBNZKnz5j35cF0o8UbJnVa5VJ9qSnsdGYusBrkssZcSkVqZ0KO25C8kHzM40JkZVAE/C6HMw8+L9r0u9Ph+hD5zp+Q2L7osbRfl3Px2+179npQt+V0226nWvZ4o2ErWzGxTKE6FxZbls70rEUtlG/U/8IMVbkvhZNxDjgRPa6rhWCW3+tUfI6uEcHUJTbHzZPPEQb7uTxmRydkz55cvsxV6ff1CHgEPAIeAY+AR+DaIyD9pJLZtHQFMlBHSYJc9lssobYKVrhDwtpzC8r4gyFEg6WywydFXtd8+JZtd1+19mDx2mOWTDAh22ny54II8g0cb6DyjTC1OavWV8IhbXvAOZFzKaThY1HV1tORvZatwcP6tgR5EMmU6pKGqG2gbn599OqJhnAr/EvCAe878vZad8sWml3rojq+CwsS8Yr7TNkrDCMLicyHGcJDcy6XL8NYVEdRhjsHSVqUCwihjQn2QGUy6LPHcx+yvE2Ir8hmwTr2SeZRD4vWCEIXjkiqoI3GvPxnim37xoeh9TCslYOp6g3mUdir+ZOpjgkADJGwWEK66yPCZKlbOQ6RVZmSCEH2KAWYqblyKAqNnSMU/Khtk+NNe+6hGsodVgZDF9U01h8MS/bDQck+U3/ftp9VCe+Nb0KM8iWrpe9aFcMmtaDZcWWIMkGTsGvpebHy/PnoM5Qj6duatntxbn1RUz7xcX4Ow55lcoAXqON6mhajdZo9/LYeAY+AR8Aj4BHwCHgEbhgC2RRV3BG6ghwLYJeKBcGsZ6yzSgmJ23Fu1j5IUF8CFKoBypSaSh6QpGkzuYcYArEfpiLXpYnGRLDGJRahXyV09OF2YH9aC62PYU1CNEZgJ2dVPZ+mqe8h0aVjDjZ1V+XRicSiMVlASY0BoZ5llMZPBVVjFI4ExDuKtMTEZR71NL0J9Sf08qi2FL5pldx79kZvx5ZqH7dVVK1KMQ5dFTlUzqQMYRKCqWdHOHUkvTlhUx/iyBHsZDAIUDvT1mj1bKtObmarZlGzbvfyWUgfub/Dgji0a3dZ/FeZg5xV5UD7n8417X+ZyDVVOK9U1z9rwhCPaSLARcxPFR67sz3A8EeOspj8gL9KjhzaILX6vkForAiizIJO26S6tjmWcj3P0sDnpOPINbZt5fGapTDtUussvmLthdvkVEOVmJ+u41QI1qn7XGsEuDfqVgn+0r6Xfcu+HP20vdWasw43Eq5D0+/yr800Xcj3aa5hTqGTzz25vA5XgZ+DR8Aj4BHwCHgEPALnhkA+2B73PbLy3b71iJob4uwpotLB3CeVG1pudmC5zXkbVGrkYiL3OMluYkhaefFIpTBOwVa0N8JXdCLUcWLLK/FSCtlfqzQpnYFYCG+u4T7zradZ+59qRTEkZLD90xixQD/YlLcID4SYogDxrPqDQappy+D5lYmSG7+/smBPMEw6rMm1tWA9i4KB/dXbz9xmrqSGW+1CVnalZX3AgVz4csp+ceZd+1PCIlsyY9rtH5JGeGSQbtm9wh/vHnJttG4dVLlS5o49oBzFlOnsbnvUglwlLkSkND6Ff0qxVFhsu6t8TD1QMHl0SWDUdiKdxXyOMNqUbVQ79sMPNm2RKexERZuH0GXBjvRSd7ndy47sn71RsNF9NqDNQCz/9nzDvlfFaEhurieIQlYOaAkX2frOAJMfzKpwkVX+pVxVFf56WNN3aX4l6rWRzc4fvt20/YVFszFyOZYZXRAX2FIcOyPy/uRdiCU3grgh0Jklb3f5/nOjGCHvcpW5S8jKBa6bJXvGPae3a2DLZX/VW45r6YuEwP7E+HfvqOt42lzdmQO/w39Tp+3lP/MIeAQ8Ah4Bj4BHwCNwwxBYCj9koc+if8iCn7v6xQfkYD2JCI0dE8ytHLmEgaVZvad2KpaKcJXN9mwE2RGdiWvgoagR7ig1Mxs+tQfdyFaGM9Y+yYr/EuJ9J8fcEGzfrGWthkvodyEwQ3L1pjWFwuaohZfHFORVV74g3mpl9NhmUHPvk8soc9L6qGEf4sDbRyb6szbYwpqKrNp/cS5j3+0jqY3b9zhmb4LoFIK+fTW/imtvrBI70EUiRfBpe4vkeHwibWJuFZS6LxffsB/2c1btvUYAc86KwVPU5XcsQxht3I/rwsJUzuYys9YiT7LHeVTe5LTZJsfSMVQ3UaGuIpAKtdRDTqRd5Yii8CUEU88upFXKYcT1gTKaSoVu3DqGCJ9IZwh2LcIv74zWbGlry5YXipYZhTZLbmlORB3lb3Q/XtqrDuGvzsS5gy4/8xSimgRXEcwG5FLEMk+IbRdFWJ8fRv4yENcceaLNFvmtKNTa9iRNc5c6KnKq+p8X28C927Jo9UOedUOIvMnynLVv3T35MIB7dA3Y1GfCnt3KDMivJLfypCfvAEq65tvcILkGcByYmX/rEfAIeAQ8Ah4Bj4BH4IwQSIkZ7bYxWSH8M8LMp7lC/qUUIVS7JupFuowGRuhcity/dJcwREw+MpCnftCyIeYvowDCCclS2F8m99i+OMJJlDDIH3UWIVbHhy3uDuOMXmgpHyJpvZbdIscvbyu5PQKXJrEvnepYPrOOuhjX+tNhy7mWfcjzGmT6j1qRtckHdBVXjjIr5UAh876V/wb9xRiqr8pwgxzMwB53MihrGbs9umu3+p9AuUPBE5mBXAa47b5jVfv00tBmKTMiEnY7PbCvNfPqwjW5wz4l6fCTodws91q8SB7rlo636Ed8fPeT1fAs/93NPkb13ILspS0MdlwHWUj/Z4PX485YbGf4L53J23s4A0tlzBECqT50DC2qRRgVEirFsSvlkTm0OiKXGEBBMgOXdxmX6lAe5kwxDqnNEAsrEqqHSmL0IaONtpTMmIxq3wESp4yDEtVTgwpQ2bY3avYIc6Gfn4WUEqL7JzVUNfi1lOAv5buQ7fG1K2J5CnKp/sUvCoQ1Nwl1bTRwjkXB7GLyw6U7NWzVlSSBYLZIQdZ2cno9ron7q66mMAwhlu6cHLfTGX4v1TJcf2qZBm7PtEGUt/biXRtmL/538QyndaqupFb+GGrllygxkjtKjj+m1yY3PVY3m1Zr9T25PAYr/7VHwCPgEfAIeAQ8AjcYgSxF0iebTDxYDhM6mbWwFNnGVky8lPNWa3StsNCEhLCoh/AEHQxYIJmZTslSLQJJ0x1C7jZc7iWBsdZIPSPEMbKvFpqymrFvtB5YfXjKpMTJwR3zWsv9Iu6Wn82t4gLZ4lih/QnH/GF3CdlpZLcLfz6lh/1L/hzqo1q7R/kJQiXHXjpT9tv7KM67JPR1ULXtdo56oVm7139gUY+8NhcOiiIMZFUWty6HkUV/FnJ2Z7FoZfIMN2tte+9J1e4uFmx5jgflIXRaknxOZ7CEekqCZcIdHTnqUO9S1DJknjpnanrvziBv9ZwjCTSAVOZSVft3wr/qtkl+7IXTxp+0UKJFupptbhTwX4cFtYigSKRcX129RL6XqpkPs84hdp7niGKNkUx+IJUd5tvqonyjYG5T1qLJc4ukRhHIpImsTraQ/gqUwsmHaWcWJPVzdavplFAt6Mu8n79Ttv9gdmj/aLVsnyz07Au4e+42oEmw2v3sBC9ciCwmPzVCZBvUwVRNzBZmQSKd01okh1e2baN2hhgbHdecgRFEvARxfZHxHdf/cd8Xnj22cGvVbTYiprd5m5JB1LO9KU23R35zvuZ+M15UrUywarZ7tsK1OMr1PLlMQPHPHgGPgEfAI+AR8Ah4BA4iUM48dR/JYRQqReiklElCYFvktoV9W5jLWxW5pgfHVB5m84OCRUsdy5T6KCGQxhDVEpfUdC+0qL6A4pShBxK1aOIQa5QqQbejfEWa0M739bG92b5jLWLttoeogm7p5z4+0Y80SmsB1TGUpSitT+7gXYxtRCaTtjbq2qNRj/DTAmQTB8zwHRb3+0l0su3B59XhmvuoxCxUubMLEwpghppVICWIZ5kXBX1Kf6CuhYQSl8gzLcuCZvi6CwVVeY4euXVRLu3McVSWQ48sJCqEgD1erduz7aYVqPc4g1qpR5Rr2NoO5BzSuTBXtFujPk6eaedkORd27fVc3eEpuET8emlU4vgT9xzToQliCZsRUUQPtM8Hn0NZJbCUEzLgh1MJx0qhyoUoJ1JqpMqMSIl8ukFOJsQ1TQcK69TCPB9lbYZSIxpzhrnosx6EswWZFDnubIKVal2ibDoSCoraRgROaqwUTKmbWYcLOBBimuUhohqOsUkoncZZgLw92Wg6cl7DvfbdJzW7v1S031pCQj/jVlYOJuSyDbFU+GpTSqbimA8oXTLy0aPL5Z3gcthQBqi86s+VHDnQz2H7nNXnwVD50c9QLaXBM1Ziept3IJbFmbM6xKXv55OEov9SuemuwZcd7MZwC3fimrUfPCVsPPLk8mUB9ft7BDwCHgGPgEfAI3A9EVBIbAYCcLAFLUIyndRCHUPYTHSL+oSbgfUbUKw+RehXIwupi5ebY5WNmCPDSWiFDcgNtC7KJGRInyft6ahFLylbIK9PbT56D+KH+tWbQ9Gq2DPKJBzWcpDIeRGddNVqxETqfQXCKIVSbX3UsS2etw6oYfouICQ2zL53YmKpfZJWJufy47ZDGCTHgTCF1PwLoWozhL0KMoWFKlR0cSZveUI2c9kshEwuqCJTce1HPU+BFwObjI0YtFS+pEmxDOlnBWL3eKVmX6YsTBWyfw8FeMhxmhC3MA+Jp/8h500PtRFhf12wyKEIT55JHVckrc+4dcNgo9p2dSelpCofUkq0thEB1HOWfjWP/gAFmv1uzxOCyosu5HO7jhKJciPSWG3yzL7Kr0xyLTUO9aO5i0QXIxn00CevI0iiPhPBlHlPlmcRTjrnPz3FJ07hsfpU/ajNz7CIh4iL6FYbHatTJuP9pwN7BYI5h6Ie98F5AMI1yue8bCuiWsp0p0epEDnDtsiTzMu4aYIYamjKu3TYadjxUJ87tL5X2LOcYeVQe5FNTq+56oZF60/cYUdBhhzLe9atzF/kMD7yY8lBOLmWXmQwbRKuHw8fu10fDmKSXm3esY3m5zy5fBFA/T4eAY+AR8Aj4BHwCFx/BPLpTfKQkCRZKMdL/Phnuk9yGS8V8jrIc/ef/LbwFkFm5F4OOnig8txe57s2OXxLXUuRIzgi/22Ua6PoRSicqISYsLi2+zRyRNB9Nl5vB1lyODFvWUTF7FJ+otp9zamSqcwG5jiE19ICyFOAMkhhFKck6jNplIhCx7YU5DJHHuhxLUXYqPXJOZRi2xajwHwHMhVUq/bxBQgT4Zq5bMaRP4VwqozGDnUaH6FALs8XIGVos6fgEBVCQNWkGiZNZEk5l6oh+eFa3TZWt12fj/hcJHUExrcYhxxL+4mxz/iYIu7672DT4jrgoeeVzRo3EiAehP2W80UXyhoybnEnEUiZ+LjxQPZEep+so0ornxKcpdLpuUf+o5r6E/GTmil1NpL6CDHNEx4rQ5z4uPF2KR1gTCC1r/rSI3mt74RCb9jF/KlDeYiy2199zBSFR9Y+gGxvoY7K7Oc9FMz24sCFD+s89AYpe1oDlJeM9tTxCjiiblO+ReY+IbUo2zyLYI74Lmki1lJ0J0ln8p17BijtL4J6mDnQvu3P+E2mVbfc2hNLuXOFUdLcsrXnlpjDxN2eMz7mZezu6/XQ/s782ADrlAP88963uKXDDRVuim2tfgxn4a/aaDHDX6C8DUpc46fsz2/uEfAIeAQ8Ah4Bj4BH4EYgkEIFhC4y11j5idf8LI4JActV5+GXUDpCX+VKGoQDi+6wwMdFdthloYqy2avlbICjbLQAwYSA9jNty+ESSyFG+jyC1IlbsD53XrPU18zokSZMFHOdaW1P35v27VGfQXQcjxHB0XY6KCoa6qvIZIqi8Cm9xlgnzXsYHOHAcdilajx++v6sLc5V9h1AJERNuZMyoBEhK5zSH0XhsY4Ysa9CVBMVTn2LqH3sTsV2ymACgctCoERo3oNstsFpMM4JTchkNIjJ8L5BTryR0vzDxzWcfof24BYErgchA5Q6xiTrhOHK/bJLeCvCYdw0PbDS3ESiNF0Ra6fOQhxruKU2yaGskCt6f7mEMhxfOwkuE4fefemgV7f0mbxOvnSH5fMhoZyrnWe2nlqzV/MPuOkhR1nuUaAUfuJeBYJptsF4pZg+WWu4ciZ3byl4GSW9H5+TpE8967yfNs9RcyhX0ra62reI8F8pkKSP4vK617OUzTzEc1rTMVsQS41b4b8H5zptn7P8LCCaoPD0fXKhdfuF388KtSkX73BZx+foLI912fuq8jstl+cyhmNHNd3f6XCeh6nA1rjR9c21tu2s/5T1FvKUYOIa0q/XgV8xTy6PQtR/5xHwCHgEPAIeAY/AjURAy+N4kTS5UI6Xw9VR1ebTM4S7cud/t7QGKhgEM38bQrIaq5ZawIq8NAmTDViMB4WBpSEJQSdvfaz/Wa8d3k678k6GOblf8hnjSIlJsKB0RFFKJIvGlAgkZFLmQ06d1L6OcbCtlFbUwGGIKQ5zwPjWbS9CpzbkecTjMNIk8xqRwg75iliZun1O80PkNA5RxZkXIqvmpgMzkdo4X4lXtCJkysNEUwVrNoLIiljKqCet+R5obG6cAkdaRY5UU1KfdTEoeovzRld8RxkSmsavcNUQ8ljH8EfqMwBZtlVBGQytRP1JzVMPkWGRTZHODyF3IqYDFMVXIHhFzr3GOQ2rfSqlDqrBjJu218yVBxqgrJUDaqOiuD1sPbKPFz62G1mtMS7PFzEXEhEeOIK5utUiv3No8wsV6xYccq5XmbjcxnBqe4vcyfLz+CTHPuxZOZUzysEk77IC0exCJnVilIupoWs+RJpObVI6RdLzjOe0xHZqh6f4UKVGCk/fs6Cl3GKIZWkGA59Xuc9DFMINbf9sq2C/tbjfYVlQrBJGvaFfeG4AbBJ98fbW0FpRBJksEn3BBndjwPau1Ph98vOQ05987Z89Ah4Bj4BHwCPgEfAI3DwEAlSwQprQ02QFFUt87m0wIH+Pz4dRYpKzt3gP8iiYi20IZmSD7pg9spIe4BY7aKP2kHeZJ89uRNrmpNNqQK3FId+pjuap297hWTdDrSCDaQijyUEVguVKo0h51GduPvxQSRQ+G6FcDCkvMpTDLccf8rmbnIgU+wZtrIZUVgVCWipmWJTHRHGD0N83uh/aL9qnIDnjeU4MXGGgckkVQXyRJsOabUJrpcQlyvG0fkTAZBAUoD512hDBopug21RERsYxfVciRKU+eI3S1kfJE8FU0/7aRmGtOlRRNSNRP8NIqqOII0oueYF/3v8B54bwY1TnqFNxhLeCgU/Sh3vBDxHMO9Sf1D4rm23yIDHaQcHUto5I6vwkGx/z7LZje4X9Uh/DbmUX0bs79kHnEaSOPFKIUTJ/l+PJhOcrocv7bBMiu0UeaZvzlskW2S9e8v9KpW0bnbRtZE5P+JPhqixJB4da5U2KKKpOpcbqkOdalyp5sPUoTyKFuSgjIOZ0kU3mUoW1x5atbbvDDvIlay/ft0HugOR2kYO6FMdK2beaOVvgd/Qd/j71UZx1w2u9SVi72L/UZZ2qsc/R3m/W0YP35PJofPy3HgGPgEfAI+AR8AjcSARQw3AcTcmNZ9yCtEI9USd7FRZhEJJd1TLZQs8oN8U4RLa9AsEkB3O3iWSirql4SaFLflKmjiIVWnZ7zpXnGFLqghocEFAYEKqo+ldtTEf2djvRi+mL8wASmMZsKN1BZYBYErgZ7y+FFeI4CFHkOMYARXIgv596yZHdkRgX/MUtJHnheDTGNeEgTzhuHuLJmOa2LBfNWm41VruYpX3QXsIQR2U89g3OvRHJKpIDqVIbKrMhde00rYzaub7TdnmNx+0nT5gCx9qE63eakB0A7rUYc4ewZaamJrOcCFMhGejMlJT/KDOdrFMaVeZEpRRK0dBeW+Ccs32mIBOleDktUjjkZoOeFSrdDzD/oa6mmshduwOuPGu/KMRohwHdXSg5NfPxasMpmeHdchwiSx/qVftNXazzuWvuy3gLbSuCqVqY+kTj6DJJPWchmPpMRjoZtlEY7mu3I5eHqRzMZqNNbiZhsmHJfn2uZf/y7bxtztEXJE/nmUshjtKOj3qinxpiEYJZq2KiBL+WMU+7mYT0MqYDF4RIvcJlC1JQk/md6Egvv5EMfEKcYTM7CilnjMTwtm/ftx55tTe96bbNv4Fc6oobikjqhosee3/yeHP69pK7n/6Afg+PgEfAI+AR8Ah4BDwClx2BPAoeNMvVQNTqXYRMTWY+2V4R4wpKX4w/mzaXgFqMhfuEJq7nrFeFACjMbNxkDlN7hntqCQdUQi7TUtKiBmGmuM8q5xHimYKvOD3IKYlkX0IKR1IWMzyLLIoZ6AG5S3eo1ShCKSVSxLHA2ByhxLEUtW0EuRtCNoeEuPUJeRuw/RDlMV5JalzTVawuhj+DMsY9CzUrZgp2K71o32rHRkKaSnsgh03tzzimNJG37XrDGeKIzJ2mFTDDUZOZjh4KN3Xz4FDCT060CmlVaZA+zw3UlwGKbe2ZXFkDK0Mio1nKm4hEoj66kh683jsL8Wg67CvlU60P9qlcBbMZwv94zyHHP8y+kv1Je6v3FvhyVrKQu7HaKWLrmjaGOIloimDqQHK4lfK5utWG7NXtwTgHU/xKxDBpe69iNN3nrt+4c32vVyLsZPXy6Ni3ut+2Sm/GPlX8lIVBlu+YK+G5CouVcjpXDmPVGEL6qe6mfSzq2z/97pz17qZtBlV6iJL4s3Md+9oWEvoLNERpFFHuT0AqyxATEcoqZFMDnUxhVM6sMwAKIbMXTixRoSGV4cYK+cMQc+J1m8sPrHODSo4cd2pjD2K2ii+14zY/0feeXJ4IJr+RR8Aj4BHwCHgEPAI3CYFK8MxN1y384R7SpQbUVhypDAnvh7m41MdRmKQIOVWZkgAy0tlCJXOELt6Dta4Nq6HJayVNqYygA8kp8UzeZgpuopBZqY8ij66uJqQ2Ra3MoBsrZPFqkNFJboRkDrMdG6JQjVAZoQ6QB/IkG4y5DZFEwRtgMjRSf1ObFLn4i7h3hcOxGIcQN+ss0DOh3bmFcQ9jyod75HJqVxMfytlV4aYig6cll1I6FVr6lFqOG1Xmpo4mWheC1UhhLgRRSomUU0v0Qe6elbMQOlS8nHI+k0lN7HfwpVTGJIxT1TrRnN0mgmP3iPRTxov3y9kvOpK7Qu3SxnOK7BhA7c32ybu5MmVpUBNXmMfbH+7YK4sFanuiME8quRNE0x38wA/XF32KBL8fPLJtisvMpCu2lL5lA8yGZLiSQ5HLkfcosqxpa056KCdSoclyt/3x1/L2kNqpr6LIv13L2u/VULlhAjPsU2XboXY8YUuBWwhh7HETRGGxul4V9ioCOebqXOAY+EA+lY8pnHfxPOExXnazXG3LCs8e8fujCIBxyZGZxZft1u9/DAKeXB4DkP/aI+AR8Ah4BDwCHoGbh8CIMiRDyjh0SM4TSUHDszaMsNyat0Gx6ZTEE6GC0qV6l2nqQrbXMPoZ52HK9EQhsuIVKmkx4FiGopiSMkbIbZDD5xO1KShhqEMepzPkEdEUbYFQpnFyTZP/50x3CKWVsicS2atCkJp8jkGNyCFRgbQ90pDOEu5L+CdWNCy6IX8l3G5ROdMcN1Ob5Tgom+Uq6ZaEVK6ElE0hlxFivA25m1kmz65V3jftb1KW4GdyX9r3WfJGuaUyuulDLk/bxL2k+omYlrGbzQ536Mvs3XDV2pCjIYQa7TIm1mMVt5C5a2VcVE/TnGEPRFS8SmGnSY7nJBFy6GkDHgE4K5+02iTMeJLwuo10ZM4BsbjKh3Tv+LyIc+yD22VXQuWDZ3WUxaEtzkLs1CftNIreZ3Ov218MvmWtbpsUWq6TsStUn2PC3yCTXEuMS9eJaovmqDtab3VdLczb4batdpfs+6jCzQL5pNC9Lxa69knO//+BuQvGxqdqKiXS5gKLII8tLiPlropkynBJ+LXaXMNc5yHCeBxyfaruX2rjbLNm0bOH3JAhnBkzpC4lR7rzy7zePVEv1b/f+XAEPLk8HBv/jUfAI+AR8Ah4BDwCNxCBosu1jN1O41qGyrlD1yKnUeRvmJeRT0w/immVe0AdGkI4x59NQuaWspCfTKlvBRbetYcF93V5FlUp26RcCfXhtKrHPGfEClx5T1IYpTz26hCUdalBLNohmAq11SMF8RwGKKfkAQ7bgfV3MONooFRSRkPkZrJpLS0FNVPoW2aWRx5GS8uimqYgtD1CI0fqv16GbOCWWqnChjqIs5i13IEgiGAylmfbDetDvoLsTtz9mH3VR3LfnN5ysEGFavYgHadtIlwRCuQAM5Zb0ZYjf+pjSDmXTkpZq7Sk2/1Tjr87xU/lKwo3qaMxEQb3CTUxfsl5Zxu9VoitnveRy93jcRVM7Jv0k4X5vSaCud5wamydnNBXb1eOyUXVyRt3rD7BpJgqUoIFFdyFO0ulZAO+0zF1nXT6fRdGrL1E0G8vFOzdp+SJElr8hGM3ZpqUbClbnuv57y/snbt/sFy3f7yB0c0pWKAOLVXSpewC4RDlMuSGgrqQmqnBR5jE6NVFtgDiHaFYxiVHUFTLc9ZeuE1o+ynZ80UO+hody5PLa3Qy/VQ8Ah4Bj4BHwCPgEXh5BEq574872QtvzAwpbdGt2CBqoxaKoLGCdg01i9dZir51KXJ/eKMvwmNFAEQi5VaaxTwmUyaPktjYYHPGkbeeCCMkcSjlEZLp1Ee27+Pg2G+OVTn6UD9qo+fKbZArmiVMFDKjchxZjF4DHFBHhI0qp3OE+qkwWuVnDlE8RSylYGYI9x0yNz0S1hZARKNlCMsaxkTka25UWzbYjotWZlIteyXXsNvB0WGGCk9tU45ksl6lG/gxP0SMFFa7Q6UERg7CCd7H7HjKr2NTHKmrKJGcVhn75FH2RJREpnVzoUNYqcqd9PQZD5HKAYqdvptsMZ3SOYGIQvYSZTL5XNsuzxccEXyG+1C3v+PyMAvM8/nGfOP/95EzoaCSKEuZRUw8Z6mEw40F2J2bB+dc4+5QZ1P76rMKxkhLqKQrm013Du40t+1VjHW+yM2NyfakGtgXoq79m1Z8fie/O+w13ZN3ybU5zj9NcdKkXMq8R+f7sHqXh/V3Fp8HYFFYxRm2wU0S2qBQJs/yvg0mi3GexYF8H4ciMO1qPnRj/4VHwCPgEfAIeAQ8Ah6Bm4CAuFtaJJDJBjjGZljEy6e/48jX3sJ879VRqIy3QvUUsZO0owW5o4q8V95blvjBoNjiAXmVcgnBTNcLTpkcQnJ68AWeHGnR/iKoey0mlAp3lcKZCYeW7RYs00MVLdcQOCHGTRRTzSdCqcypdiWhs5RSUbht0CSPlOdeqeZMg/b6hTyoNucd1MI1jInqGKKIuNAWIMo/R8juQub1yc2fex2TS+plimydgiBKkZOiKFo5ILx3n+gEhK6rSQieO/L0D1R3s9HsWq3RtQbhoh05qjY7tglxdm0wsJ1GTIZ1jLjWpepYxo6slSLmQLx5Qg6ljIY0FNfEtGgu7NIRTxRmMa1xS7ZT6OrSXBwSuwLBTEqVlAmd3dfY7uD0kvevZz5NvuWiO7arvQlWPcI/lWMpgtfq6DXXKoRYY1QIbr3VtxrzDFGCFyCYmRlyaJU8THtzO2vfaeSsntONB/fRiX7oenRhsExqZzsm2vqs3cIZtkhHukNwgS3g7kBexHLsDDuIita893Fckl/MtOgCh36tDuXJ5bU6nX4yHgGPgEfAI+AR8Ai8DAJS5FS+AGrnulH5EagNBC2K8yxVLoR2kmVzvM3EljAMKZHlPOYrhZ4yBuMmokiuo5xInaqIwkhGpWXTlLWY43VeaidqEGGs/WZgXZXcwABI4aZpwmQzFUyDRALZTwNL93CibaI2Fhooraph2YNskvjGlFSuhIQ7dzy9Vw3LoFm0vogl201ryheNllFlRYxX4y1aOIN26hxvfwrmc7vnyE+sQWyk9omgnaa5+o5MqE4u6VwhoWeQPFTin87+1HNdZSfKxuhL1Xqs1tu2vtWyWq1pDQhlC3Lch0BKWXN8kB97PSucs0tJksDlSUYoigrrVQ6hcOV/friftkGZFCmacSc86St97/rTzQNyIHG2mZZPmSUP9fZ83pVFkYvsOxj9fPzujKuFqS6m7aPP45Zyrr16nYwnC8NT7U6NNQlDzkcKsyZcm/nOVfIcL4Jcoorz2ToGSVHYtMW5sv3eh5Gt5dkfc54M5/cuCu4GN1Eau64848NOeRKGMhESrYzxjJHUcY+ew5TOXvIj/c7mNlcst4URF8cf5kJr3n2NEixxGPpLdu93PwUCnlyeAiy/qUfAI+AR8Ah4BDwC1xuBUmYFwUUGOhA0SYoQsCHkbzSE/BVwLYEAxiTiaBxiChL/3N3SqZQjyFbX8oSnRnkMfnCdTRHamkatHJAHJ5YiNTFDDqTqFmby1F0cHzONOUsGN9lojh7Zpovj54ASJAPCVwdJzU0+D1osqCHBfY2XJgIpKtKboYg8c9Pr7PY8eZZFdyxY7dj9dpciabd9TY6sIpjZlZhct1HHvvHth/aVUcbuLFXIA4zJ+L6deBPltNR83u314HbT3mdgo3KM7Y5mLFuMWexfsfuONImsKo9QBjwKT+3imlpv1Gxrp2V1CKVTJVEpD4au6jgiPuJOes5kMm6MIp1dthf+UvryKuC4j3aORyhyCXlR3qXKfghLtf1nekxc3TcHehlDrGPP4hqbum32kFqYP3pEuOpy0eYhgprz/v7GHbknOnD/s4X+px+plQrB1XOI2qsyKSKwMlOSU6z6Ur93F/v2FNdYEUyFyf7Rdtl25sjVZYtbnN8fJ5f169UItfvwo++OBPzVuNwI6+aFVErelCsCltBYUoIjLjt9f94tpfNR3bSIkiM6NyNyUtuL96yfV61S306CgDDUTQLdP9I503X1os2TyxdFzu/nEfAIeAQ8Ah4Bj8A1QyAmjgFEMg2x1PLZLbHacaF6w2n1YOuOuk5JSz7fXZM9t6qOe2MN55oIY1CfMSvE5TQUNKryH6qjGTRLPBPKSmmSFJ/tjiM5iJ5ZBWaL1HYkxy6oYypUUf1L1DLKlahkyaBIv2yTUn9t8inzGA5l9sqn9Ga2IKEQmZaKyXP0Xs4GAcrlEWtKudhmqHuZtA75id/87iP7xKu37LUH81YqPF8vU2GxamMukuz63LPULia77/ARqqfKeMhkZ5uw1RbHU1hrhzIgDRTGNiS9iTGOcjr7kMtpBjsKaxXJylGYUQQsQ3+L8yUrRBlySNs2U87b/dsl+8sfPbOHjzed0icVLj6Pz5vRCB5dJXKMbTIOle8IIKgDFD81d3rHJ7lLLHOW75K2u2B3J1ShzeQlQmJnyYtc3W7Zw2fUBMXtVXUqA8Z8WHPH0CjG/bjt3IBHzgSpiaotoili79TVcUfL80VwA8taG9V7aMvZLUKwVSIna69GPft9SpMcp0QnY+Kyc+dKh1WO5Yj+ZJAbYuAj/DqdMcGOgUx2O/Q54jr/60vkvnKj43efEZaMw2vS0qiSv347fv8vVjCzOvjdEr83M5F9/SlqPseTK2xvZoHfp70+kr5u6rNTlnXvivOmy0Y538rPdZfq+Hden+tLwZbW3w6uIV2Gyt8+gZC9C+3eFb/7kX/hEfAIeAQ8Ah4Bj4BH4OYhEKYbuGjuOWg6BAhjtRYlQnKEU+LQqsVYTDBifGTiA8Xjc933p7kVWvwy/skCbvw2edbbYZ4QxRzEsFGyEcY6ajLWCZoodCywM0XKl2DMs7f3eAXotox/yAU2nCE8lZy5LP30SnVHNF2tS/Iq1UQg1WRENNm0zaDEuMnBDAiTzVQrLux3mNu/3eQ+7vV4GE5VRFmUcvjW+6uQv6a9/sklQi1FVpnLmFRogeoIiCtHsn/Z6Qil2zr+odzSdls5kR3bqXXIi+zY1rZyG1UORiRGZDoutXFwX/UgIpnLZiCOWSuWQsJBC1aCuIWEtypEdavecSVEPnl/1tXdTD2JnW9D9lmYKThyKfWy2+V8jIny86hr8S2FEMVPJJTjquzIkKRQKYLdboy7zrULjR3nXTJsR5I1F+VBipC1eRb5E3nWdaWQ1qcoijIO+tgd5UTGTcdIrh33rB+TAxt/qY9CwlSr5Dwq9zEih1L1ODVOhw3936XOpsi4QoajPjmzO5v2LL9ofyEjnwNpn/HRp/90lzs4KI+21UI5Ri0tko+q5sKImZAI6EkjoX95KWMPfvufmN29a7/+s79kf7iFUTIkeTFM2789l7YHf/z7ru/nvpuhvumffN3s6RP72V/5Vfva+zWcYe9wo2T/teZ2voE/dANCJWGIBHe/h3p2Bkw863dKl46uW3dbRxcQTTdpdF4DIiV0+ep3WeRSnkhyB05+t+Otn//pkX8eE/+JR8Aj4BHwCHgEPAI3EAGoEothEb3xKotXI+o8DslhtDLKn1ZqLMS0IJtsg1GsWk1+tn+r8R5SM8cv04StDjDE0QdBq+RUqEyjjLrYhzBSCoTF3O5x9GJvSBOHiZWFPnUps9uzluNhGPW4/EkcRaVGptsF6lbuQBz3z0udSCkdQEIHkNscaq2MfYZZlTgZE+WJI02Mxn26AIn8/OvL9s7DqgsnfbaukNSmfeEzd+3+3Vk3fq1mE8fUFmRmBqInEiViqIfIY63etS1UyR3IaZ2cSDmdarE7rTkI6FNkVcpehOpXpAbmTCmyeXIYZ8sF3u+ppwcJ6IB+dxqQajEvzrQIYrXJTQMW05WKQoeBDxZYY5t5oDy0MTypoRpnB6WxSPmNFCcsTT9Zcv1EgputjvtuQK5npwuJHBNJzUFhr1I+8zxKFcgvz+8/rRO6GkL6BrZKjqj6/fT9mV383KQTXOjEYbE7wORd3O9opDnGobub5FeKzEoFVitBvG/NRvZkjXxctikOWlYY1a2J82xMlXc7PfKFhiJdV5HBzSbXmgg3eZtqusw1R7nvjrn1kX29gpvxp3Y+sP5//z+47R78h2/Y3/27f9P6r923DCVF7L/+Hev/n/9q+nf/zd5393/9r9vcgwf2uJvgceRhr/WX+lPV4QZGq6kbC7G6jLjv8p51nrI4BuvcZDhPCv0/2Hpdrm3KySiv2/0e0Z9CnV3EBARTfYi/i4QeDNLw5PIgmv69R8Aj4BHwCHgEPAI3DgEtlMM0OYksljJpyKRbPHNXv5N1qqVI10BFKI9p7DbRxu/cE4s4PY9XYinCXoN66MpKjGQSxGp9iPmOQl3TGKrsb/FiecjxB6was9j9qBEMCiloQEh5jWqZqYmcooKlybMjj1N5m1jGopCKxB614IZkFlE9US+DDuGxqJnxYHUUtf2zij8zu3dn1m4vL9iP3lk1kUvlIH7zzce2jtr4CcJkRQBlKNNCiWzWW7bONnpdx1hGJT96KGjTiKSUEZEThZSm6UOET8pikRzFIq6q5VIOEhm5UiUiNZMt4V/TxqwQVPU9gGxpwRyi7A3qcWkR9ae8UeVxivROa+pbKqBKlPSQgETOtgitrWuerNyl3iXKqlM13TwGBve0EuPOZSPnNCsXXDnOJmMXBjIPUgmTB9TC1PfPIJiPVusY8RQhwXur/8nZJgqSyLaUJ9380LYZMBGB1mv1LfxEptW0j8j4ZjV2y00TH7nYqlqLsdWyJ3dV1fx01M11rleGpzGrLEnSRFwUGpsbE87k82nPX55lYwhk0hyRHJPJg7dtjvou+G//sX3+v/qH9ng96enmPeu6Vt1RYS913P3e81mhoJsxnJ+9S+lIcLI5fv94sCu/L1LklePM9Y8c3aVvvdd5l5KZwaVY55tfAyeHenJ5JLT+S4+AR8Aj4BHwCHgEbgIC8rwsprZYe7FKYkWlZfJogIlPl0V/ifqOaSl/p2m64++WdlrRxztCLLXcUwukKqq+hiQGjt2vkCMZopymIve9frgxqA9ekGkGkWQcEMyIbQj05F2L/uKDqD5ln75EMLM7cy7ENYXi2pslrw4V89A2HpAUzDTmQgFK5zAk/NeNa/zllJ2bqF2tYdOWyrfsxz93zx4/2ba3318nBK9rj8hdrGKso3ErBFN5kgp5FR4Hm5TNLApirELmLI+TrtTHPDmRMs1RiKhyEV9/ddbmynvYJP0cVCeTz6c9O+I1Jqv6XjmJwlhEqcjxNIY6oaLVmnBFqYFoxg9qXPJa5FkGOY5Eso/eK2+zwH4qA1KARYZZqD/HEOcVedQCfCQJT+8FiM6RTrtej5s+L0B0pVaKGL5yq+RyI9cgmBrb3UURTK5F7TMG0e2/7z2dcX1pgS9irvGWMIxSq5Ob6ggx/WvMUpEHio8ctxzlSe7W1u3hzLK1gj3lN/n+4LMuDRGNnutvROgxJJ3uHLkYb+yu/b0pHuxi3/s7Oa7/P/3Gvs9e5I36ePUfvsieV38fnROpjApRVtkitRzkUI8s19bE5RZ/ecKf2k83DdyNA67FPmkCA/p3NV8hr1I3W5xs+XalHcnk+j5h334zj4BHwCPgEfAIeAQ8AtcWgTBdc3l56bEJiONBKu2BiU2K4vLDJKdyFwG3Be8OrqBjUslKf0wg9r4fKn9zvFsKI5VBYYcafGOVjFDUgkGUfQAAQABJREFUis3Q29727lDjVSGZcy63U5+1yfN0vCLpjM9ciCvKZ7oT8ohc/uYg3xirlq6nY36gumH6k9khpJU+BlHsNHvYTi3GUOs1LadQVshjBoK1eHvGViCZPXIWtwhzPdg05hBjnSIEslwhlBUH0yKhskVIUGwaInIUh9KmxcpoIkJPNzGgcerbwR5P+Z4BqP82BEukVLUgRdKkNqomZMgKuY5quQ1hfOvRjiPGImki8FIaRfBEUGdLWad6KuRUp0BlRDS3uOn8xw+91+shrKvHil/H0XY9iHYf194o4jyN91LY6jpqYpdtIo5TymPGgxq6A75SU19ZLhFGy7J9fCBdjwO+120DKZ5qIqIiqHpe2yLcuBabHD3CjVbHicelIWt8bpf4c17mIdW3Glv2tLRovYmiojlYSx/SOnl7ooVypbw9hcNG5ERKvRJpDiAXSWOKjuQm7496Lilk93/77aM2OfF3sT/sHnE+8Y5XeEMRy3qDfGVybfXnS+cjT9grl1F8Q+Ks5sbvjvy55FFFujinXDcxzKmYUjOHXBNs4snlWeHt+/EIeAQ8Ah4Bj4BH4OoiMJ97l4U2qo0jl1p5s0pqx/fgO6mDJjfjlflppytymTRyKweE2o5UGmS8UBNB5P4/R97bTq9EKxX+utu0mqTpu4MjkSmQSGW/jBJ6TFPIZJITqU1VD1MKpkyGhmHbEdbDukh38hDJgdXCqlPopAIu4cJ6d7FsDx9tkkvZdqGSBYhkADFThN7rD+acKilSN61NqnkiQnovUqe+5aJ6VEvIkkDZQw98OK76Ur6lXktdqzWkECuvUUpk3957WnVd98bnR3mfUvbKhaztkBN6f7lsFUJys8pPU2NceqUxKbxUBj9aVMdNoYQxuUzmoDIP6TAkVLHjiF28HfNLduE5QjkdbqM+i0SPSazmvjSXtycbTZeTKTMeFz7L9m3nnNt1CmVb+XHMRY8EJ3HQFLmHmrP0coUXi7AXCb+NUFjzPEsZXttq2voO42LD2U7D6oTGbkdl8DH7FEp6Z8PsXUJ6x1G1jri2IZXOn4lxVGZS1BAlHJeQyzHvdbMSuZR77EnbL/yDP3t+U82BThPynGygGwQKSZ7W/uCf/JVpH1/Pz3QzgTzIhurN0kT68oS/JqHI0xE6Gyjc7yrnJ5PVTRpyMHEJVihumxzP+K/m2RzH9+IR8Ah4BDwCHgGPgEfgyiGQgWhgqwJBcPYUu3f7MW11i26oA3PSAg7SwIJq/IMXejPZkuWcng9+x0duQTz+nI6yGPj0CnVntkPPVh3VGEWOsNc8e7Md/2M3s49YxnuP+2CfySZimcLQZ4QCebBNLvz75Nn1x0psmJpgAJDbkRRLlM+gUbB+EUI7JrKuPwBJ9feI4a3Zgt1dmGVxqRzCvdC7W9SJVPily8OD1NQwzXl/BWUYV1blYYrIJG0aoUy+03YSMPMKGSUcdZIMT/aRbO/yC1FPRNBEPqQUimwplFUKpIx7pLL2CbVVmGgcviqHWZG4iFqjA8J5OR8cd66YweSnQEhp353JXWLp3sVH1LylLnZgWnnJREkDbJ0hR4zoK5ljHqWy1WnHPSQnZLxtHkVX2wm37tgFx42ZOZRRMRV++/bjrlN+FWKsup5SWuX6qrlqX41HqrDGLwxk3FNz40/ZvVtx7qa2mbyhoJGqPInKvCj/crm5bbeitK3hMjzk0ngXgq3fgznGtQ3ZFXnQ2etiUlSEyOi4Q46VRdFNmo6vh3ONTT484lnzOdh+/FNl+09+ecnKnIf/64/W7Pf/v01yRTP29/6jO/aJ+0X77ltV+6e/u+LMiib3ndbX5PfX4bWUaeVVtnGBVXiyhGaRexG8JI/3vOapPwfu+NwTUxkkhUMrt1N5mfqDpXtznlyeF/q+X4+AR8Aj4BHwCHgErgQClexTtxDW8siRx4lRO31JitauNMVWYg7aeF+LP9CierdNvNRnownlUiGo2X7RsrUZXGOrNhjXoMTbE5UN4oOpD5Y1vNszl4kpC4s7FvOOpO0bCERMxE9MQAZBSWOsGm7ys9FvOWIZkVuXo5an5rE3HYgCzrGDsGUZSqKIrB4kl+lmy/U2omRJoaK8PggtBGNy3iIwzoXSbTkOj2QbmfvIWVWwaB817Ze8dh9M+SG1brMWq3R7dTOV8xiHs/ZU3mP8ugXpEalUE0auxiXTkFqnkNYeNR23UCNfJcxU43ym0h8Qz3nyOWU2pMW5Fs9ysZ2fK7k+WhDS3RYP272VAivjnC7kdR+53N2YywZ2PIlNMtcEc5FDmRuJgIsQPlknV5Vc2j6rds3pQ1xdRZo1JoJ5GatComWgkrIKxE/qqt5vM95lCLIUVoUSP9ts2a25At+1HEFW2G2C3cTwIKMozuz3kNqSUgjDASVwdnbsYRjZD8jZzVPu5h4Otk8hvMo1lTolOBTGXCilnbmLfmdUpiJp45KfbJR8cvRzk35LENo6ZElNead/79fu2vsfNu07P6jZf/6rd+3NHzbs535y1j79Wsl+52sr9l/8jVdwKm7Z1/+cmiXjpj7U13VtInZygG2TVymMdQ1F+di5VZgd/Nt1ZjhwWpTPKRIpUhtfj/Q+/tuRhdjKMEg3gvRr7cnlmSHvO/IIeAQ8Ah4Bj4BH4KohkEr1qW3J4t0NfP/C1Gk0+kiELck6290koQfjGfN5rOmM3097ig/ivukTftrFQCdXnbMsjxHlQoZZhd+mnAusnGDbEEsdRZ/Fz4zC1USMlbcU5CgmK+NBoVqqjMhwTC5j/pb0YLbVrbveipmQBXy8BEz61bPrhRcj1cRsFVEpJ1RNvh8UIDpjVVSGP0MXxsv2k4TaHWH/DxFNkTwpiEk7jFRqDMmYxrNyxLC3hXkOJkE6VIt+VLJDIa0iXcJABFSlPWYLGVQcQj9RAvMQythEh07HY5QSuV3vufFkGZPKgDQhpGoFwj9FGKVubmPq8wkW7HkIqY41rTm1ltFKRSQLbW+TBI/4BDChOLSzST+b27i0Ur9RIaz9Qd2R02RzddDDXCfZTZ9nWLGXopwzCxKGG+R5iowqZFbK0avUw5Ry2aI+qFqBuWs/PUSaRSpFPOPyK8+zPeGzBAlttHq2Rliudhx2mjYfbNHXrP1iuW3/40bR6twY6aBa6uz0mMcMDq9yCa3XUC05v5OKmfLvIlS0+Np0wzryR5Ww3k9+rGTf/n4cnpxsXKvrXEF6dVjabDljK2sd++NvbaNqLuMavJ/GqA/1tXcFud2uxQ/9vtRxNpZZj/yhQi63Upnff7BXG0N0ZnN1DrGQyS6GPcnNAimkOudproU0NTB1jkM5yiYX7Pjo+8/KmQ3Jd+QR8Ah4BDwCHgGPgEfg8iNQzKwisKAcUucxPVbytFSTiUq6GTnXVSS8MXGcXMJNvo4Xd8kieG+tldCkGIfRrrSAysjroIubJ8/9CNKWlUKp7el3vFtMKZM+9gim642DxN/EIYjaKQ0ZlAIqZ9vA5Y7GXfWGhG7ymM3J7iQedzJ6PSc9xUdPvlF5kxp5obFSGR8TckteZtLqQ0JI+S/ZP/k83pbexoCIICm0tQWpOklzI0jAZIeQcFqRo9WtduwsS1+zZZTXzP/P3ptASbaldb07Y87IubKysirr1nDr3tuXnrvpbpruxobWlknUBmWBuBSH51IevIVPH/oQFFBQVB6s5/KthQLPkSeKKCgiuhbK2PRAD5cebvftO9VcWZVzRkRGDhH5fr+940RGZmVNd67L2VURceKcPX77RK7vf/7fQGoPzFFTsB2Zk0xWg6PQ296SYkAf57wBi1otY4QMeJTp1Ey2yDw1NRVcNteTH2IVgLoMazoIhrNRHFtQuwHYEiwK8jS5TWar+MkC+FoAYU1dd3go4PWBZUUQKQDTh9CXpQRonJnAv1NWFbA3hi+mJq0JqA2RmqSOHFrh8kKTvlNUWOv60nQ4KxGMEAzI9TmmQPRWRYB54miKUKt5rGW2vRrmOPzllanQ4OGK7Q0YI2A1RcUYrGU0h+S8rJVF39ImANSAMllwHy1edwAp1hV0WtynAoGyZD/By+Fyeyi8+dE9cKn58q9/bCn8yT98Mo77ax9eCNcB5Xcq9nF1O9udO9V+5V+XqVQW5pc0Cqz7qLxGJ9lv9uD5FvvXF9k90kreIE0CSYFl/BvGm3uEpXU0d7Weo1ZgS0vcV5a0o/Gw/5aDy74o8oNcArkEcgnkEsglkEvg95IEMIAkTokKOUpUj8lz/R2AWGGjzgFXMVlNqTyEJFnZO/JM+tZTyPgewVbUznr1e9UHzWKLBMQpdodj8B1NZGOJ+qJv+/vP1EjN0VQwh9Awk/JHTU9QhgDH5s7cLDVCs9MOoxjVapK5gZmjJraylfbb77l/EJvHtzQOsydHZqyrD2bvcrzml+wEh892zodHdh+m/5TSo1c1fqRVpHfBhCBnHbNTlWVN+CwZYLPLdCae9NK+UgNMGil1CkB5hCizMqECojgV1p8xZJksbOy57PpgZ4gktpX13N0l2BAnBJeap2pGK7i0tACfiSGUuQScA46chykYBJ+ylabisO0SQFS/Rc1zzX9pLkCW2d8b+3M+zllzVvNpynqas9NgKIJvQaX5Pxv0M8UaZQPXYRO3IlNte3tJ99gsAFOgepVAP1duNMI0vpWKVP/Kq4vNyELqC3oNtlcm1nn53VybB4v3lGxuixQyfZnGoXbDMwvtsDgK2oD9tLh3liNHjLKbwAhumqSNQdb0o8msQpfNEmSbpmILYKQ83GADziiHCDjpdleWkfOPXe+G9771SPgXP38l9j86XAzf8P7Z8BM/eyFcuNIO3/8dj2D+ag7a25d308cnm/S5dzfdvsEr/KqBmrKckrrhDg+bq5JJ934/z2n67CG3QwKR3qcARl9unPem+1oSuCLG+FtJGDKCTGJSxQcDdxo3B5d3klB+PZdALoFcArkEcgnkEnhVSqBUaIeRIuEw1UcpqFTxbWiTR/UbtdAl4upuZTuUCXqz3e0xJz7up/SaxGPbJdOw7GzsKV7rV/Cg73MJoGgDLCcwi8TUVBPT2AKAWGzVMTsrwBCiAZYx+ySibOb3qE/cEGAkgldmEMGUQ6IRFmEthzqAH1KbmKaiAcCMuJnLFcJ29jAo37I5chhLnD1HA3PWDJiv2bxsEYdJDfbeY1e82bla6YHiqbgyrpvGYwvWy1cRsJLVjv3eor3dxet8Cshcr8DUtoNAsn/MgP1+7fOQIoASuG32TGFlDAU8+inqw5gFpjFabBOwVwCcaXr7NBFlHScGCwJQ2n0G9j0vAM2K/dmvgFFQXK8B7mvlaKK6vZ18JqnCeVKReNArAtW1Fnse5w6QQGYrzDNbiYAy5tkU2FLXsoCZ7HLDPU8PHhxX31LZXruW9byGX6nry2TZGy5+eE9dX2pGgDzkve19Z35XDsv4dx7dWA7t8mx8oDEzo08v7Bn3YGRpWXJkKLldZDUtwyNGjwWsAyzdjJj/kzyY+mQKViwOQ1KWJEOGuwHIOTJbDm957Xg0jd0CyC+v7oQ3v2Y8HJusRLa0tdEJC8vb4W1vmAhf+Z5pADW+s3zPim2PnqiFS5fSPLLz9+unTKX+jTK+I8jUCLCHM/N3XqFMZGSOBfrst3vrL8U9IS1r/N7pmJKH35cPO0CH7msEl3TvfXTQ9PV2o+bg8nbSya/lEsglkEsgl0AugVwCr1oJaCQ6TfiJtR5gdKHdTTTgxkj0O+zge6hvIjwhCpaasYq+YCApsB5lJR37vnfWo0FVN2KGXoOdYfwfRxr2DJgEVBKds9CGLdV0liAqpa3EFplWpDMCswmLGP2rYocDDCSaX4GcmcXGGKxlK2xWUgoSAabAZbxEn/0yOJs0N/k915R9xqrOwf+8olLJxDm8bYkAjwYH6/ndUQU7rn8bE9F6jwmLHXKyP4YDHiw9oQkI2wbrgWbJTEgPVj34fRC4Zdci+IKBbMEQWvzuS3A4Wq+gbCd2T5buCxdXQpUcnK5tnfyXcXa9NTpVgapBa2Tv6oDHOgFl9HkcqVejj6TXnYPt07YBsiuD+5HNKn1q2poFJ4rgjbU6rwvzazGIjrKTybQ4tP2O4I+pTGznudMxUFER01kB41b0S9XcMYJpJ0GdrGzuboXf7HwwVAvHQmn3SGjPXYj3XvXaiTBErlOrTrYb3FfVMF+fisxW1la2y34rsFwt2EK3yXMrK+Q8Za+MXGqwmQqyvqnQcXY2BcYdCh9b7YZv++bT4S9+36fjA4if+veXwtd9xUx49NxI+Of/4VK4OA+LurIdpiZK4d1vnQy/9Ks3woc+tdrv2rYfXDB/aZJ5/8J9duCeCtSTPDE5Bpjr23i3Jd5r7IVRXLdgPncA+ekxBFvLvrhfgtQYIIo6fmrG7F75AOewEu/dwy7c4lwOLm8hmPx0LoFcArkEcgnkEsgl8OqWwGx5IVzBb3AbdDBV7kVH1c+SHJQ7EdAlbVzIVMS0VP+kWG6j6/UvCdAibEvgKrbrMZdeiYBVthG/S01kZTW7gFnzS3aLmkOiuG/VQ2VzLPpSbuP/CD0Z+4zToBPnNbRLYBVSmpCQIrTqywC1NEffx0v0m2ANn/2Z9Y5vAxgBt+bcLGoaDADeLai002Nv+XQQi+PvK9Q5UCWhICppBirokLm8VYljJNS0r4rnNavVfFOGTt4z62WfOtwbPwOVsb99PQGIYGcEffpIyvjpDymQE4hlgXZie/qSvTQfpHVUyMcwK3UeBtaR4dHXU+X8/Pw6DGE9TIxABfXK4ByyedAlZUBCrnWgaJZru4v0J1K072TSWozpSCpjZcYtwrwmP8oL1xsE++HBRLGET2I7zvOZq6R8Ya7K2ei8N1bSGN5Pji0AlPV0zZtEhil0qz0/WuQKoNyaXA5bRxZD9frxsAsTbjnaWg0bAMyVqsA49WdQmW3ACyRqBEK7dOzco3x66EJfQU1imR4PaWjJ/t+qfKY5FF47Ww3f+oG5aB77macbwddgMSDSP8d01l4GpBj+yree5Wavho8802FvZLkFUnzyut2Yg32/Eo53kVUb12vvT/fL/Kmaot6p+JOP6XXcE5hOGch0r9EX9ym3LGataec8T/cRZPp77KP8Ow1yD9dzcHkPwsqr5hLIJZBLIJdALoFcAq8OCRQAT9PFZjTJMzLrNv+Km2VYQBTiiQTkInhD/9pWS0YRS+ylam2m3g6quINy4XpWZeA0Ol+/6B9ZWgX8ofh1Sf3RwZx1F/C4DZu0hc8nCUFCm3Qf1aHNML4xTUTZSQLsZClLEtc4BIAtNkfxXSuF5shi2Ckyz16pFQCu2Zf+0d6ZvQmmc9mqbLKraS0aa2F9nG8wb8yjUwCVFFLOx5u6tU2mzfYuZuAq03Jl5WqYiOqneFPZN/iekOJRr19NRNeagsvUWthzSE/xYjYX/SOjKS7g0HE9NlVJ9Jnk2LQfzktlW7A1BXjDgDUsLq5HUFdHKz97fDRcWTQ9SCAy61gElpkUHUegVgLJaC47WLI5DJ7bD4n2X/EbWCICQ9OD6FtqEKBLN4jciq+pOUWdZ1Zci76ai/h7CoDr1XIEowJLU5IINi7Md8JRggMJNsyTaRAgQXVkgJmvojw5cY6APKVwZWg71LbHSX2zzIOVRihMLoXa8kyUS5H78XhzifybpdACZApmWi3lyD1SMGooPqT4SUr6RtPN3jwN5NPGD9NnIuDheI9EUI6J5+BasjX9Ir6X3/w1J8Lq+k74+V+5np2+6bN3C8TzH/gDx8K73300/NQT5OmkU017tzAn7cLYJZ9BwBXMHJbh+5jXmzp9mU8ILA2GpPlrZsY6ReCe/u/okPm5rwL8TQCp5s3KRRlYonkrgDKCSu6JdG/FCvH6i/mWg8sXU7p537kEcgnkEsglkEsgl8ArUgLvrT0bnthtYhKoP2UnrG+3wkQXoEYajyyVRwFT2O4uaBNgaW7JgvQLRTVO4BkRBxrdoLI7oP/D/qWl+2Gdob7PJcfkkOzCjnaGSa8hcKPG6jb+l/EosYrwSzBG62FrtBWmWw+E0tpECGNroQvYc2yDDhWb42F9lGTy5WavJawEprzmseyNyudAySYTT/UmOHA5HcJwkSbFsYqrjAkzCnSJDGax1Qs+1GsjiIr/MnCpgs81zw8qxuq8tSoBhgB5g0F9svF6Eo1fDwNmlZ4pbTaMFdNuJJApuNuE2TJNiQDKyLQG7RFkOXYVGsu0IyMwfQaMub68QeTVGsCtGv0Nn4XxGyMsZgFzYhlEGUPNUGV3Rpj3Kr6QcWzeBvdbFlGAanThOxYnEhvHu+Gm6gIzTRMllEaJEru1k1hSmVMbDspI39OKUVm5fx86OY5MQ3j6ylqUvYC3Qd5MWd7LBPwRODv3xdV2f09OTA8D1vEpJZfl9Dh+mYWFMNqZCm+rnAkf234srE0tkS61xP6TJofGNfwvjzWXw+WxmbANYqnX/U0UCO6zF6U3u9+zhWmCOUxbzTyNQloVOLEfmtGO0D4inqwyn0ai/e+PXQj/yx8/Gc49UA8/+i+eHbh686GM5XveczT8wjUi2AKQhwWzjJUFv4mmoYBbgTA4K/4eBW/OK4tme3OvL88ZgaXycQM3mO/EJD6zTvpgYZ81dxW0C9592CJwt52BlLwnjOQabzXOvRwlB5cvh9TzMXMJ5BLIJZBLIJdALoGXTQIYFZKmfjuq61ErYyZCAwPppOA5EQFgBosfW1TXUaQBHQbI0cxOnS3VSEe31uH2rsSjDFwCJjtTK2FoODGNMkGWifJI/GwRjEcTXJV6x+2Qi3Nx+HIY3TgaqrCJnREpCRTmJvkJazfCRnk1ggcVSseRtbxdSStIcOWwek5HH0wBZnd6KQYKMsjL0A6vnqmk7Zhe+I2t3w7vLX9Z+sIECs47dupMOHJSFs7XUHqXSHUhwMgixqaL6brgKbbpn9w7KPb6aRBBdYe5CBw3AaqaAQpKBJGZn6kpQuoAwslRUpUAKAWWnsvGlPXTDHaL9tGUk+vOeQs0UoMBjOwb3wWYgkaDEe0ArhxD38+DpYLpoYF2NGPN2h6s4/e4utj85j7iddZYoX9zWc6RGkRga4Ra12nfO8qWl8f6XirH9Y2tCCplaQ3aoyzagFHNU1MeT1nQSrhGZNkTR+txz8xnaZRcugB4bdIPDw64N2V0lefbim8Jv9343dCFxi+NQIs1k9/p+FYL0+H1cGN4Ep9KggbV0irTfqfjg+/KdxggmUw+nXuq0QBgDkvccytbZ4gLtcWroX1jPvz8wvXwFV/yuvBPfuAN4a/94yfD6g0epgyU2dP18Lf//LlQO1oNP3MZJrYXgMr0HL5i8BrAl27Sjq3kZQMNkKOfqODM34BsZikCdGpQ13vsIEAeGPZFOfS3b1RYTXg1H26sIxdSu3gcC3vN9sS9imbI7A+3QCzWqTF/1+w9ODj32+1Jav3ivWdTf/FGyHvOJZBLIJdALoFcArkEcgm8giQwV1oLF4I5GsGLu3ormscSJRQlVYU6Acw0YaFSVE9RPM1fqFLa9+PKtLxbrO0ghBisrh/jwevZ93oxae2CW1nVjZ2Uu7IxvBDC5pFQI3jPbgVQQP7NZnkJcOCcU6AOO23sEAUX88Us1+W+6bFouCaWSLoIQGu2ShXwQWDXV07JmanuDnUJAgeEwez2Cwsyt6H+dtb32KuJsQRo2efAogVpXaLuGoDGWdxclDaFN5azrwja7Hd+CVNWggNp5hfZO5TqcXwd9YOUcRSQxeMD7WO3cS4o4xG0FQFT7rsRM2kL2BJs6jep+W4L0OZ3TVOrmJ1aTxB22Lz1vWzCmurWuOd16Yj7i330i18Ujyd6MlIisqu7uBoKomUeBZIeX8S/cpMBBJQW5SMjue2gFAFkq10IC6ub4fSxkeibeflGMwJi21AV2SWQJjC/sgBrTv9eU67m69zhPhKgriCXkcW5sOM9WtsMNVjB9SZmp9yLM82V0ObeWi/rz3v3xd9MBjI1W5V1W18DuBOsZrjKg4eVa6GycBVZwEBz///Ha53wekyS/+0PvyF85EPr4f/5bxfjYN/+VafCl3zpWPjg8m74xLynbr6Pohks94VrcxzFK4g0ZYogXH9R5erPRpbQe0u2U5kKdj32HhkEa3e/0nurKYsv8DWgzgbspTeEzGr0nWSe7rGsb0zn4mpZbjLz9T5mzszTQrNXTMnB5StmK/KJ5BLIJZBLIJdALoFcAi+FBKaKG2EJdUwgtC0ziPYpaIyKdjmBpwRzPKvixnWUOAFZLGpyvUO/H1Ts9i7tHcV6GXPZP50OfM+6th5qrR+AQ4K1QKlU0HjXtvHLJNBPY3iRFBFVzBnJ0RjnBQ+LlizYioWmgtLGNiaQ/BuPIICL2fVetb2Pvdl7tL/a3rVYX/PdGFSIb1ySRUsml716zFUFXWXeCjEAEidinwIYQJtARgbwlsXGdtIrCagyLFq1Cr9pVeZIr+F3YYVVB6onyaUJxPll/ex9prFlURukt9CctoopqnPT/FSgODKCqexqCwVfJhCgNVLrMX1GZE2scFpi6svUH2uYoer3xobtDXXgyCuD7dKX/edqgkv+PYWJa+8K4EJ/USPDJtPe4YqBfWQaO+HJS6sRkMq6CZg0374EqBQIy2KmGfLO4O7XNIFvFld38eGE1WXe0aeTcwG2dGl9mzyZGwDMbVKADEfQfQn/0/qI+8YaCYBU6WyHk+s3wvmJ42Ejml4fWOQdvvo7quGn2ZFl3CbSLCk3KiuLobZ6GfYSsE9+jI0TD4at+kT4BCJ4fL1DipLR8JNf8trY8+/iDv1TF3ps5W3G8p6IfofISbYypkphmbJ8BvzxFvHVJQWH4M06gjwBvW29JoizvmAzAlDP83ohi+7cjiMr6Rwdb4NPi+BXUOm3aPKK2axspbfYvaQGiZ29hG85uHwJhZ0PlUsgl0AugVwCuQRyCby8EhiGiVsYWokKfEeWpLOVwI8aHJqj/o9JnXOe6Sjpk7wfolgmNTC9p5VllbLPdFZldV8Emn536SDVzvpJ8NJ3lUh4tdQJ75rINqurBPmZifMtEe2T2LLUzMZLfUQzXuo3MeccKcGEejqr0vtSJtLs9gH2cl+1/qjZAcp3xlzaV3ylFoLADAiqnHsxA7wZ36dvosyigDRq8FaLgvGgV+xn4Nh+7E8FP5qIEpDH3JEHi8DJl22z1CZ9lMA55+CyszkJCDU/FVyW0djtW6bS1YwBJi0CyxYRamemCVYD6BSsZSUtMe1TFVNacndEYJJdj58Da3Fuh5V4duCarK7E7hhs4eyR4TiHZ682wvREJa5b1nGNtChZYB4B5VVYSMGPslUAmgBPTtEWsDyPb6npSZZZa7O9Q7qUUjQJ1iwYHBvNi58hh2c0K6avBoyte7LDJI6PE0SISV+YJyotaVpkhJ1fDSZ9Bv/Lq2NHuX/27s3D1nfYuXhPO08Yy5GdZqg3LmFujU8rD1Fa03MRWGbtNHn90EqIr+wcu7h3eBdHgsw6FufNRmJwyd4S7z/vK5lAzWOj4Hh3KwSZArstTGub5OyM20NdmXlvIPuznb6OBWQeTWo59pP/sWQgNH3nPlGQA0Vz2Myse2dniHE6oYwpt/3KWlo8lu2V3c1+W55PVz16ZZabf52vzHnms8olkEsgl0AugVwCuQRyCTwvCQgFjhRXQ2UIdoaedgzW0ytFTD4LgK2u7FxU3/a0QZW5vW9Zi/SZzieQ4Zlb1TPViH5tWZ29o3iq97bXOrtuzyqmJQDQDlE7nVq70gjV7ZFQ3RoPY7vktyw0IkCS5VT/NX+hpVqohNGCfnY9dbS/kNT7HlTqDX83H6U9manwOqagwyLr0x8iflcXFxwjl1hXkIgPIYybFVXue3DQ5rGkmQ0c904U0LSrgMq1DaLqcjmLimnNCCrtLCsD88iApnPIiGOrCcAUi2alxPEBXBZJTaI/Z5dgM8m4NZqktpQlUTwBFBuYvnpOIJcVj2QAhcSJkeVM+p9ViZ+uvw9+B67YXqwt4E4scJKLLO06AXdaBCbyugyj0WFdu+I2tYsAVLZdsDN3NPnrPnUZJrMH4lttWHmuX5zXPJZAR8j9IuBQ0LmNaWpllLyesraYGRsESFPgMdZudNqr+GgOYTo+e2QEYLtDSpONeM0+BLiTm018fWthsTaOXF3FvZfiZjvUr18MxS32lD6a47NhsUjmWSK9GnlWlm4QVN37CHst3LPxMfYQmZjuowKLeVjfLkUTWgGnoM7ifSKDKOhXnhCs8Rwii3vuvlrHl+MICtPL9okJjR313qwvW9qCodTX0kjGBTbVNv6GHDcz7X2Ooh0c7iU/zsHlSy7yfMBcArkEcgnkEsglkEvg5ZBAGR/FyeJiIGnHTcNXtxNLY6CciA4O1BA2JVUzvfcv97S/FJRH1f/A9V5Fk7v3mUsOzWGn4mnZO4pfD7wl5m4U9rGFL6VpSuyoWVsOpQ6mse0RIotOYba7HaPEOo/qblLvyr3APi4pmmwy1zhdlNg0ppAIwEJalrsumDSmkoClTE4ETp5EMfaY7nsljee5TJEXpBlQJxXP9ySrZj5Y4kR7J2zPoUBIYCRrN8hexvF7Y9uLdemY6TAf+/WYUwNTj0DVtB2yk/SM318xLEQmk8T1gLasmCvSxgLINuBSU9/oS5pV4DMCXQYVdI3XIw02cDXJwLk4Mz9dvy/Hlg1NgI3vEcCk4D2LMIuT+H8qL1lWwe+JaaIDCzDpI4HRblgniq3BhK4ttQAsBjYyWFEbUNoByGvSmYK9jNWrAMZmOAEb6jrWYWTnZsbChWvrMJqAatoO11I6k3HMgg2EdOk6AJLrykAz2ePTI5HZNLKuYPX4xkrYLFXC2j36XyqcIvag9avPEpRK819YwsljYXt2LlR2SqENABTAyQRiJRtlcJD5i43u8c0+BG5g2WiCqg/mwM16y968FY0uK0ebJfjxd+a94Lb60Ch+chwfsHB7C0Rj4CDaul/+/lxP+i0kdnIEP0vTuXgf1kd6gJJBBJnxocgtZ/TKvrD363llzzOfXS6BXAK5BHIJ5BLIJZBL4HlJ4J3Dz4SndnHa6hXTkFjamMaWdwhQUsIELjP77NXJPtARDykDZz08VANOoEKAEgHmYC+0SaB08OSB494QpkXRvLVDyhT4s7BdaofGyI0wvDERxtZnQ7dMZNdai1c7lKNfYGooEIrKbab9CmqZp3kss+IlTorBKAmIpSPfU8lqCwUtBSK2hm7yoXys8+nwltIbYV9Uv5MCfdin4xjUZw1AZJHlSWPHr6lnTzCR3rLjp8cq5ZqmuhZTjgyCy9Q6vVtXxTwDldm1eL43d88J1mQvI9tIfaPEWicxl9UIPo2e2iaYjmMaaEcgJ4t4sNCcRPXJBzJd40T6H4GfoNOXwXLMMalPo+M6nnPQ39M0LZN+8jIfpXVPzoxSA188mC1NdpfJVemxYDKlJ0GGDO78ikOlME5QHxnNLfo+R3oSj7+AT6ZrHRH0LsJF4huq/2YLQPn5C8uxH9nYo/hgnpgejZFnTV9ybm48bIzvADAbAO9yOH18LI5VBUjK4j2NKW0J89gT60uhNXWC4FB7jxQOyufg9yLAtD5/PpQb2LtStsemQvv4aX57JVhXfobMWxNWCNVomroJk2nAGxna51u8j2qwlj4zWF9jHmMGgrr3fv2p99nzdNvHqWV+2cnAOoFMbzvNZy3+7Ew7gkV+ZM09Oz4hK88+9qZxyC0W294vbzm4vF92Kp9nLoFcArkEcgnkEsgl8JwkIFw6W4bpA5RlSp8drWwTlpNS7JYjuOyOkGfylixeT/OzQXbI5x4M8nxiMqxysCR2IzUslAAWxQQuIqKL2uStVcpsOKkP05WsRoCJeSK5LdslcnVujYZhTGTL5KMsbg2HXUDmbpUchj1tdX/PfnOePXNVPsUF8SwgRaCUilK7TcGMeIjULWNDY2G4UIvgT8V9r9Dv4Fcu+N2opKtNwSVfOGEVX46VfXIYVnkIYP06/zDe9FQ0vxWQtgm0A0yN53wTXB1W7K/Lfq6Rz9QBPrb9iTiGI8W5lOZCfWs2skqyg5r3Ci6NGDsC0ye4bGIqKvhKYBbzTceisZ8CTc0kZRFlmxqwgdeWWzBWiZEUxMlOymYJRDTrrcOQTmGOKhNaAT3Jxio3IxFrZml9WS4D8mji6nCmHcnMcW0/NlyKoFSgLourT+T0RA0QyB3e3QgNUo0sYMZqG0FqA9PeIqys8lhaJ/prL92KY0R2E5mWeTCgDPTPfBa28glAqYBWE+E2fQgyT2J6q1lzfbgc27n2Ye7F2fXFMD82fVcA05QjlaWr5GxdilvWqY+G9uwpglXtQRJZwomJFOzH+RnBdRP/R30gswA7zydtiD8LI7L6wMYIrTVcbDWFfSFK7yfnHRa76z1v4UbkoQgW1q5DYCmgNFel52Vns3YvxBxe7j72dvLlnkk+fi6BXAK5BHIJ5BLIJZBL4EWQwDTRYc+UVsINAt9kZbMLddEr5R2igZIwfjv6E6Lw9RTD7Pq+z0wH5TM73LsuaDkcYKpQZqVQ7gFLT4AeHPFgse/9CqfqKnUBIkaAbfZMZGtE7OwOb4bV8jwmhbVQ25oIVUxlu0a9jSa+zBPwkGKr0qnzi4MBjuIYAxPzu2iGkVzHYSvkZCwF5DW7OxveVH40KukCpMF13CQbrlsEVI6xjVIdlVDOz3fnQ6vbpn1vLnT0TPc8tYfCbGEmvK70Rc4oArEq7WXushKnm33pfUbZUZ/VhNZuO3xi55PxisA0FXtjvsWtyASaDkKWT3ApI+j8xsiRubQCeIfiapALsogToGBtlYipTUyQrRcZRIO/cF5QqGmpcpBxk+mcGCW3Jn2WYFw1Z3U+ce2AOuuu4VMpo6nfp31kRYDr2g2+M4n/4waBeMxNeYoUIzHnpu0Bds6hxTVB3mWD+jC2INW+VzCrNUiR8trCDFyTWoP7jNLnLOatV2FHF1bbYRSgOMUY9u+eH8PH0u9XiDhbx0z21LExwPJO7N8tnBitRh/OxCIn0DuzuUb010q4Xr2z/2V19Qb5LK/FvJYdUFX72KmwXUv+otn6/fTel63UhNV0IjJ7jm+wG/NVOleZzDKv/b+TwV5ufxzTk9Cn5quKX8D5YhQj0RoN1vtPH8uSLCxgdqdBMCk+9z+UeTFm8NL2mYPLl1be+Wi5BHIJ5BLIJZBLIJfASyiBscJmeH3lGqaiO2EBoJEVTWEz8CS47JYweSztAc6snp9J5UT7VLu9Q4kQwWp9rJDaDBKigstbKcSDIwwep2FTx0LFOiay3Z0NUql0wlhpmABFRBAtNGNAomrrBNE3ATOAyx1QbRM2S1BjawP8HCwZ3Nw7z+SdYG8CDxXPxcO4JLr9bHgc9qUQxndmOJ+YN9v2qu91c8iRCrYgTVAl02YZgf38bPfzPZElwUWFmzlc7y6ER7kiNNM3TfNRfQZdT9qPVN9+hlqss57yL6atSiByv/LOjHtNdssAM9ijiOtooH+jLJ3+iubStEQG8eJKqAxX45yv3CBdCcBRxrFKfYPqVGAkzYd5nRycAsDoGwoAzPxD1zFF1a+yRd9x3vQr4LReCsyTUowIBGUGV5vtcJ4IsZHdJG/GBuBQwGmakJRihPXbB7RYmfq28dNcl5rVPnutAUishUmAoGD4ykJq7x2gr+UOLOQqwNZ0JM02aWyQq6zkFYL4bG7hg8k8p8drMZrp0upGeADfTOV5+cYGjGg75v08BUC9TJAhzWuHuMce2FwJWxUA+dAeo6z8Bkt1fTkMz18MQ6BDTWA35s6F7ZGJwSr7jt03TVjBykHTWFlMfSbden0yBZoygYLCCiDtVr+pfZ0e+CJLyi0V+2/LxNb0QT5Q6Xl8dX47AEvnrR+mVgIGK3INPnDqM5vPY4xXWtMcXL7SdiSfTy6BXAK5BHIJ5BLIJfCCSWACcFkBWD5pZvoDRR1yiOA35W3s4vBZxJHQM/tq9b/FA1X6/pk+GMrOeHV/2au/x1yiJFfUMtUu99fe+0aPh4y3d52p8m+8VMe0t9k37/X6biH5MzY67bAxNLBmxtIkuNvBh65YjWBB6DWwHAKWZM5jQ5EttFK2tmzsas9E1clrknnXpQcGBYj6nwm2sjJawNwSrTuZLCfw4DWqxiKwyYqM4DKmnQbE0V8xLQDY1ObBwRZ72AOXsT4NlROQDT9V6sR+XFPiSIukwuiu7ZLTElBKgwYsoODSYDot0n1kReZuFoC10hyC6StiOirYojMaGWU1+lJiQmpwnvOYlMpCalLrp8zlMGyhwEKAeAbfRRlBQWDsoncP2I9jN4iG2zRnJvK6BtjzFavwJrAUzNYAcQLzYWQhMHzq8loEovbrnsheXl/WNBYfzWii24m5L6OPKXMUEE4BHs+eGIehbMBabnI8FmZJX3KJ7875oQcmwgrA1IA/MqJHp+rs2wZMYpe2sLKYDa8Ob8W1u46d9lb44ur18KvVBzCPHdiwKERMPzdaoX75qQgstXNtHz8TtvC1vFMR6Akqh3kmogkr3WCqy74CJmX/dgGEGwBPo8DWyAOp2Wz0Mz44hdsMpAxN+dGmf/NuypjufyBxm8a3usTem6/S274+yr3N93aL/UN2UV4AY8fIfDFv1c39eD4Hl/fjruVzziWQSyCXQC6BXAK5BO4ogePFRnht5epN9VoAr8TWoYx28B/D57JbFYgljXTw/SZ0FVX9/ZprDx/cNE7Wnxc67QTcZC6GCByk1mm7wbHi8YBinqAdc9TpzD5AqL72mMahMIkPZkMG0wT0/BMYROA6MHEVXJGQ/ct0bu+0wggAs1TA7HIoMUdeO1U8ZUUK3+Jk0rfD3lWMY97HO9Q72FZwaZqNg8DUtQKVUvVenxnL1zsbr2VmoY4dwaU5NUxKaH6JgZKBg5GhejhXOhcWuos8ZEhBezJ5PDT8mvC53eWY71IzT2Xn5/Hp4dCB+VtdWktrROYCRFm/BkF9Lsyvx6A4zkHG0jQpjhfny+exyWqMJHoF01PB5MQYjB4AVt9I6wkiVyJATr6ZdBEBYZ/ZgtFUTkZvPcFcZCjPM6bmqkZyTeC1E81q9cc02usawGitCShFBsmsFhPW8SptqoDMTT7LrGUXU9iNyJjW8K/UtHYG0NiGrRREinqi2TJAyMiyRyeGiSg7ghlsI/pqKu85zGtvYE5rTs1J+pYB1TyXprHObHspXJ2Ywtc12zXuyc2NULt2PjGWyGrryGzYGj8ysFt3PlRugkqjqxoQBytc1kE75mGkVUGmPo0C0CL+zNGXFFbSed1tqUJ6kx0lgkz9MIfo+7kUzXg1tdVstwLg9b7QX3S47n2SevSW9ffqPF9tJQeXr7YdzdeTSyCXQC6BXAK5BHIJRLbydZUr0YuPxAn4nQHoKIIzTUVTQbkj4ql2kt0Kmil63vNT9XowM37s9dTdRqFuJIBYgLUc4jUIEONcYvW9NukIk71iOdR5RdAAgGzubEYWrreACAhGMIs1B6Z9EiqGc9SW8lGTFUn1WFIB3HR5MhwZSoxReahI3s/DlHzbZxLqjURfe7NTpx9KfoLW613oNYkNBuv2eohziaatsHYCrKykur33OOcQHik+xOUkJbmorGg66kwEVSMo7IeVDFhm1yYLk2GmcDRUM5NNZGJLwWEZwDQOG2iqjg1A2jX8EluASJnRoegn2Q2Ly83wzJWUMsO+x+BCRwmqYwAfy4MwgBYD4Qzj5zhKEBwBn3UXCaSjaaqmtjKKl/Fl1BxWYGfU2GOTdcxZCSgFsFU2PgKwXosotTKVzmUbE24B3Dxmt0uwqjKJvnyOIIARhMoEz83UYTXL1GtGICkQFfy6P85DQH8EQDhGwCKZzc71ddqMAlgrwfQiRml9EAbTeo4l21btmS4rq/GRMua2jMG5a5jobhL51ttLUO51QdTM1mpobtXCSjX5URZZy/D1y6HcSvLbGTsS2tMn9gXwicK7izdvacGapqSCNXNFVgWByEIgWAMcCtA7nNfPUYCn2atmqLKTdyr2Y38+rzAHZRWT3HsK9CM7yTMO5VBlngLweJ/5p4W90uw6u2P1k7WU4p7faWb31/UcXN5f+5XPNpdALoFcArkEcgnkErgLCTxSXqCWILIaWqRp6BgxVMUdYOnLMrQLU7U9DJMI60cKkjurn7EZb4CTTEvsq4uxx14f+3vqNIuhuyVAwjxwBKbLYDuxWI9X+t87F7+m87yXMwaI8Uocj5K4fnUL28CscF6luAwAdVJDmyn05JCgmVKE9TxTngNczcTvmon2GULOxGX4dmAOsfLgmwtmnKwIhKL/HwCo2mNW965mtW7+dK76Eq4SzETwkin97yy/o1/Z6VSHXEecXf+8B1kKERPPB3wK45xiNd7U7AfmmB2Phr2AMUZi3cBk1UA9Aj5NXq8DdK8BprxmZNcFmTjGKgFkvS5AexAGUnBzBVB1nJQd+krK7hkIZw0TWsHdFlFsW5hnLgHkLIIMx5HhmwJQCyZnYDVnAJTrRKF9kois9RpmktT1u76kBugROMs+Kqs1TGTNwRn9MZG5AFLzV+8mrzvG4toGYE9WFQYT9tI2RqxdJ0qsorF/2c65o3Veo9HcWIArW9neWovjjSNLxzXI0IlYZwhfTXJndjYI4gNjCmA2INAi6VBOADDNc3kJoOy8jDArK6u5LRRiON5cDFv4VLZK1chYltcW414aGbZ18sHQgTF/PkXAiNhisB9NT+swmlnxfipw61RYuLcP1roprQk/D/Nauoe3K/H+tD1TlCG13A3AFCzKmhqgR//KuDe0dX/0Da1jajs4tsylrOXguTjYq+Dt+e3uq0AA+RJyCeQSyCWQSyCXQC6BV48ECkTOOVtaD8eJRDk0dCou7ARKeKPbJHIoeSB7DKYXCoDLEmax3Roa6L5yBw30FnVTq/1td3dgLdeNkCq70g2lMRnGVGLN/dXjBa+jdmIOi0bM3DV51Y9MhdVP/RNlYAdLCTat0AAoN/FfRLN+zcgDYbz6mqhgp3rZqEnh9Vw8k53m00OGuENJFVTiIauiz52mqnddULYFNgKZNiCuDgvmuBXB5GDJ5jV4jmNBbZaCI8EmTjKl3WFoKwCZgFUgpVLPB+BCINmJbJyMnKah21BeAg/X4KeM3TGC29j3taU2wWyqsInV8LuEKm0RXMc+1wFdBUxmZRCfhsW0/03ApCBXv0jTe2hSKzg9g0+mPpWeNxKtYE0grkmqZrU7O9yLzMk+BGXOQ/YvpinB9NW2AjXNT08ACEeHK/TVgCll/oy/wLUtWMNNNkDGMIJR5qEvqjkpkz+n5rkwiIDNJiDzJOatJ5lHtr9TmOq6lgsE/7HNg3NjocEaBZQFAkMd4brz6gCMZAOnkIdruw7AVGgrjW0AWJJHA5ZV4Corq/9pjfyXx1qYGzPP8tJ83MEOTpObpx8JYzxYWMmerRzY23v56m9BlrENuNSXsXrAT9Koyt4XmrfKQMp0rq3BVOOTKQCU9Y0o+1aDsnbdd1v4c7JcHoiw7Ex4A23cQ5lS+68BKgeBqLlWWwJOxhw0sVWedjpYd6DL+/4wB5f3/RbmC8glkEsgl0AugVwCv/ckQEzHuGjNCNNRCCeJ9jpOmog5ImxCR+4TyniYoGYpXO0kZdeLBYL5GO5lt4LCHEsCTr0vt/hIdeL7werZRAZadtqAsA01WRTUsU4oVtFEB9vZhu/pY68Dj7ZIl7LZBfjyRTPIimCTog9mB+pjnCirFU09uTbKv1W67hKJdg5mKfPlUh9WOU6Dpv4jq5JOemH/fNKZm95tM1gEYrqLDaYFGbx+u2NzKgpUDHojuEwbmOZ2u3bZNdlLwVkWfVWWb8uXgGttLZpE2n+2ROeuSeIIpqxVAJHg1mitmiQurLQiaBupVSLz6CqXMT3VRFazz6xcu7EexidHozDt7+gEJqeMKaASuGkKuwSDeHVhO56XNdyAPdzc2g5PwVBaBKlrnO/uVmIwns3tchgxNQj7JTAV8ChP+9WPU5BshNhioR1lJZCcX0p+tabgMK2IfpBujWaqRn+dgCVdh0mdx+xVBrPB8czkcDiGb2W2hUra+S2sbiITUtkgqAVA41EY1dkjjtmKZrSykpOYwgokLxPo59jUCHIx52UzmsbqTyp4l/UVkE/CcPpdwDXSWAqttQYG6QS0weT46Om5cG2nFGaG8TftHHiQoHCeY6kNEz0YgLkJWVwlQNPB+9RuPSebaOTZLcCyTCIWs8YVigzlIPAbnIbn64BTAwbxLAQQzlXumaxEP09ApXfJsODWH8RAkTW1VA08lA7juwy5JyoH6g9Uua8P9//lva+Xkk8+l0AugVwCuQRyCeQS+L0ggRI+hGfKmBsSGVVwmaGIcZhBdT8VORm+VNLnbGkmHAtHgZLFcHHnSrxkChJB285dmMSmXnjPuu317mh9xdFr/S+pwuYK/pJdlEvAQmUabTNq+FbKOuK4Zxu3v6nf0hlBkkzlBgzmA8UH8KokMA2KcXUItm0ARDeLMGW0MjVF1paDOGQCWtmY6Vz8tncqggLrD5Y9ZT1VzKrLajmOAPFei+BOn01NTrO9u10fgq1NmDnNTv1skT6jgeb+1OXVCNgEM+byNIJqFWasPkJEVY4FXnGejBXNeEEB5qO0nwbgSuZOAKbp6lOX8ZEU0DGWpQ4SGRsbDouL5HAEDNif7J6+iYIF2VMjvFquYxqrD6MMonU99ro+dya/0VdxAv/HRZhLgwKdwoy0xvWdazKgghbuSuYvA/gka1I2ytZz3p8TtB/idQMw+ACpTjSL9c7oyFwyhzYAtgMd5jxkO1POTUAU4586NhqOEJhHM16L4wlwjWorsDVgj6ysUWK9k2U9BcE79DdGDsxjpBwZG9mOJrBb2w32uxN9PKN5MXKbpm+mGRlf90k2c42It0vrAEvkMcSNulGfC/PlqbDSLYb5TaBHmkqczwvxJnBsE+XVYMH6Ot6q+DOTRSwhA9nDDiz2hs+V+HtiO81tD5YIMGEwTSkiiykT6j2VBe2xP7YvAtjBtvbt66A5rHXi2Myh96xosNmr4jgHl6+KbcwXkUsgl0AugVwCuQR+b0hADuCB2qfD2cK5qAwfXDX8wb5T6Ob9olFprYCmSLFeeQcqwvQjmNKqrO/xCwON4vlei8HOPEUZgJaDeC5e22kT6KQXyGdneCwUy4nBcqSsOG5qmI6cSJrLXp03lF6fVY+f/Wn0D9Jlv6r0+2+v9d61rJODQDM7f6C73um9ngavq2DLILYH2L2snzt9Ci5NKZJFjE3zsRUKub5rAJgNAJPmrB4b/EcQ66oEbLJ8xtqZxIR0DOZtFXbOeZhao9ID1tv0IwsoiLT9Btf1edSsNOtHc1DNUWUJBVmxL4LvmIrkLKzcPFrypcv469JuZbUVLpMf0j7Wml18LWUUE3/u/KfJMSkYPI+Z6wkiqsoWmkPy8fOLsINlAgaZJmQngllXmslvFbNVg/vYVnkaHKiGj2WJvp+5shoB8iyso2lSdgGPy/g86vfYBKRqgqrMvJfdGwPXyCCu4l68BdIaHqmFWcDh3g5i5kkb5zjCGA/OjUfwOqyDIcUouNw+YQr/S2WriewNggPpp3lsKpnQGiTo4ZPjMKgt8nq2E/jFhPY6EWmHS2XalsOzn10A9Cbb1/bMXGgeO55u6heOsIzzzd5cu/6UDfalQHAuzV5vV3xgYlAg2f0KfwIEipqvFgCZpiG5CWSyN5rdGiBIv0oNI0zJMkqKkYNspeP6sEMwGoEubQ8WwTvbFu+Bg9deDd9zcPlq2MV8DbkEcgnkEsglkEvgFSKBUtgOdV4WMxdWdgEGcG3rsGyofs95lgK/kr5glS+gmCX15SCQtPM+AOLgoFq3zVy+sPVUTD0y2poOtU49dF4Q1+8AAEAASURBVMbXYRXR9Ojfd4HfYSBzj8GLlfpvqU3/Kwe9M9AkmzfUpulNM9bRCZKpL4ZSRS4rnqZqqpvAoFFIMbvsTfpM8Uyql71z/uB6+t306hTwxQSepSkcVrlXry+jrO/ep36hB8ut6npelrAJ6JPtS2zpwdb7v8vqZS/rr7c6MF7NyCBuwUhCxEWTUPsT8An8hslwP45toiykaTKMqqoZ59PkdhQU6S8pMBP0XYrgSBPGBFI71JP5E8zW6WdipB4ZRSPE2rftmjCg56+myKyaiq7DZGoS+7kLK7BaBsRJe+Q5x61jPutYRlXVz9Ix7ecEQX4EFbKWMofeiIJFTUtjxFZEYSRX62SRQmUJF9e2Isi2b0GH15dgHwXTAsot/ChXMUt1Hp6ToTS4zhgmvhaBrNFilwC/+mTaxkizo0a/ZZ7XCDokOPX+NYJtBixPHxuLsrEPx5QNFbTLPgrgBZGcjj6Wne46oLSL2WsV5pSAQKzXqLHytprQyqgq56OT5fC7T81HYOl4x6fGwiXAZZG5j/AbO0IKnmsEt2rfAfw5p3suzMlUHy0Apg+R7sWf0bpjvASZgsIhXgJMYhLxNwf5sBYLt0w0p92AJRVYKod0d+yf7Q5//rh9o9nt/ivcFjSQubwJwB6seB9/z8Hlfbx5+dRzCeQSyCWQSyCXwEslgZEhUyuQaJ6ckIOlApA8DugzfYKsGfwMIClFy4xoCA1VRXN1dywsDI2EZkjM4WAf2bEBMCyZMtc/jwpXK94Io8WrdClw3VNfenpfrDoIAFWYewRB/OyiNN/YWQ71rYlQ2xrFNK4SdsYxeaw41z0VUXUxfdsPTj27/0yanWrnXut0zvcdlOidVgp0062NhF0CDC21HwxVAgvVSwuwK02iv5aRBkzTLjkG6cQAPpNDk6FObkbL4NriiUPeBsd2LnHNnLybtge7u9c2gpEtAKKmqnU1b0qcD2+CINN56Cco2PJTpk2fNwHmFkF1YsRX2SJAqmak47BpmlVG4Ed/Ahb3UcBjHwK81fgJmwnQMo+kcxCY2aegUr9KQVs0vaUP+4py4bompAbzaRqZVUYUNjPND9CD36DgT0TlmDVSikwCRpcXyrBUO8wlANKG6WMXk9KtOMYw4FEAuUaQHtfrWLKO+moKFCMzxtoEznTJnLiDWFOMLguL2QQEaqJ7EYCq3Ly/3ANBiz6iykKmdWaqGuVjsCFNco/DRioLTXrtQ7k6hxStlfyW+F0+QIqR1UY7MoyCRed2EV9J1zaLWW6ZecX94rv9GNhH/9cx0rIsrBLYBzPZUwQmkvU1Sqwgfu7oeJyH7QTUAlAD/DgX05t84dISYLkV5V0nik6d+36cYDst9rZYSwCzgFxc6YtRlHd9JPlgCgwH/x7czXiCTPfIIEyatBLPKWwxVZ4PxP2MqU8wn9W/UhAqSKzy/Gjw75V+mNswnDUi2B42vjYStpM5fbWWvb/Or9YV5uvKJZBLIJdALoFcArkEnrcEakOdcLq0Fj6/PRkmAJqzxV4QHHwBCwSd2YEV7OATaInKFkrZUGTCkiI5ERphlGitq7uj4TIAajdLsdGbmaDueLEJx9kJF7vjsCKp3Qjj1oqfQrkH3JrhEf9F81LqL5dF3ESfi0qzGrq6awKWggSPBToJMOwQHXa0MA02BexMLJN+JJkVRs2+N15G3iWQSeNMEbYv/gkAbirZKT+th/K4tQ5f4zEUxs4wrJbspcF3CjBdyE5AhEEkK0pMo30vdpcw262FegGm6aZBDjnhAP2agnjGi+cGzx/S7gU6pSLueDJkyljAp6lrZoa6DXByJgIbmUdBpOBFALba2IpBY45hPnpkvBZXEdvSpgH407dPU1b9Ie3bInOp72AFEGB/Rlc1T6NLNsfkEUxTj4wPJ+AoeAP0bPZMayPrR0VBUQW7xirgcYR8FlVB/5o0UwjnYCMFgl+4tBL9ICcx95SdJKRLBBdbmOpW8cV07wTOBnjRvHcbM1VBagSXfF8H6LkW5y3INMeksmkDOpTNlYUdAAsgmpdFICtQ0/cy+omyjwIT82NeugErzJwNpCOju8ynsrPv2P9uihArAPfhziSyfAhzV+cyXBmJ8zIAj3MWPJtCZHm9HceyX5lOI9Y6h9OYApc1FUW2F+eb+H+uRbZUVlN/0hXAqmlRZI9dv+BeZnZ0vBieurKIn2VKkVMDcckSG8322jj3P+Ms42+53Ga9yOzFLAJMWUOtcjVfvdfi798+fHlvy0I21rtR1qOj7Bn3nr8z8CXMtn9XMJnFDzMrpi/RHNYHBIcVmUv/PpReJBPhw8Z8qc89B7G/1FPMx8slkEsgl0AugVwCuQReTgmMEDjnYf0FUbbeWF5hKipVvRmhQ+1CE2wBMC91r8aTJ0vHYeXM35cUrKwqHFMY7yyG8bAYni6cCt3e43vDk0wSEXMmrGJCuBXeAfgqGrGGEnvYPRme6jxLfRTfIr5tmMWuwLaY1y9TxmW5VMh9qdiBe+gDkAfy3AWodEYbBJDdwkcKrRM/yyrgFqPd3hhphkJHy/ZuMkPsDR4Bkmv2aqrpylLd2CBbYO9qh6AlOy1VLOZRIYLt5OcZG41ysE3sC6W13zZdVnEd6JmTdyp7HdhWxRWM8TwMkPeP5z4LfOMnx0ZltWwA2szxuLtbjMDOc8pe0CSjN4nvXa1SA3wZZCexkQn0J7Cvz6DAyz5WMP1MaTU68Zz7J/soK5iZsgri7McxBFWXrq9H89IIZAFsAtnLC5rZJrNUpZKBvVHYzGmiu9re+8Xz8naazQrKDHBjkCB9KLF6jXMW3Oq/aaRT90NQpg/o2Bj+nsxB/8mdTgrE43wEbCvrQzFgj8zo5y8sRzCY/U4iM0ugIaWpObF+jAKYp6+sxzkJ4ATAspo+ONmE4Y1gnXmch1WUiXXtvIXjpP1wbgbwsS9B4nqTdDV8Cg6dn8XvBtxZBozuwsQdm8I0HdrMSLKmG9HMNQJL+jgDsBY0WiZHaxGgy3Q6r4fwsXReV6OPZQsmtY45MAF7kJ05LlcAlcvN9MDE/T87eyT6hJrzcnJoM+yUb0aUjY42CGmecdAX8K1IxJ4O/T8XcDk4DZ+VyVDKhuJOGjaxaG+SnzWlM+GhAGa4BhJq85zNSLQylj4v8Pptyx0u37btfXAxB5f3wSblU8wlkEsgl0AugVwCL5cEpoubPWCpXpuUz5izEQWp0W3Au2H+iJq4XiRICInhtrowTzCUR4emBqacWJY+IkXzf7BzAQBIKhAYvRIgU8VZc7ECoLLVbYXx0ni/vdceKZ0L6yjEE6XJsI3Cd72dInKaX8/r6NGUTGsTWqTShJlZBsGdrM9GUJGd9zOxfINn0vH87nUAGprlwdJT2tNpFHrMWYE18aumrMP6lTL0MkFaIHJjqYwDaA1P2Z9bOt9/701ZsHqkcCTU6OO5FsGEUWUFbRFZD3YE89SXf3be9fTYM0/ZLrJhvU+PBTqak+onKPtl8BxLh+R+5hStEEWmDrs3e2Q4AkvnkK4ntkdzVoPqyORtAXDc4wQy0x4JUAykM04aCwGU4ESQ49QEZl6XsRNEmsfR+diPwGsHZkyTXCPFumRNn+eOj8R+9On0bvXecB2mbhG8yQbKMvI/rkcwLnC035h3ExA7DIsnayqoNhiPk4msIQCyhr+jc9O3chl/ySgb+k9AD/NPLjr20Yka+SnL0WR1gWA3AjuZSgGq5rg3SIGSTIU1azVIULphZN00iRUQy/Jqdnq0x+4qR9lCU6i4JuWzSqRX5WBeTiPaXiUIT73G7w9QKbMveDQqrPO6TFsDF5myxH4XAKeCeP0oM2Dp3mgmqy/oCMDSPb++3IogdXZqF2CKD2hzLf7eTs7UmfdG+MST16J83LvpsTHkmfbW++B9ww3m1vsxeKJXfn6lTmqS9AApO/dCfQq2TTei5URmiXBPfSPbTYCi96oBfko+qaKQqlO8zP0n0NRSIAUPcr3NRNqGUYDo3upvMeodK9yi3X1yOgeX98lG5dPMJZBLIJdALoFcAi+1BI4W2+FsWX9AWTv+CRxQjPCcCzc6y6G9CyMCwJgojIVqsQyw2cGXETM4DT7RwjAqjAqawIIU8JzdCDuYt9qJ/1DFOUR585P+d1HWugXMALekAWB2GM7ALkaAlI2pAzidySIgQ7BjsBfZppuLymDS4AQC2XH/SK38NmV26NgtsaDIInbJ+8buFOB6J4IN802aIkSQMr9+HZFtk2qgE0oHFOsR/E6PFWZu6t8+R4cI6PM8ioycyxYQZGWo3fN/TaguOx3BGBgtbAPut9kDQVICkirVyJu9FpAU2AQZtmH2rgJIXjZPJ2XYfJrjpJxgn7YFe4A/U1pEX0YAnwyZwM45yaapoAuYBDOyhwKAx59dirkaj+LL6H7qfyjrZ75Ko8Rqemk/KbiPfcnMEZinXowmreZfPAvj5hjzBAYSLFn0QxRICuIEYRbvE9cBScf4mKHKqPKyrak8niQXpb6DmpYqPwP9XASYrdKXRZksMkaxUomysd+psVL0U7xCjknXdkyfTGTx7NW1WL/Fgw1Nc9vb+DTSV9aP/Ze3YUmRA9lOIkA+fRw/YObifaD/poBF0OnNtQLz6EMSZazZrrk1K8xdU1XB93gMtEM0Yn+fFIGvzLCpTQTH+l+6n0a7nV/YIBIsv1XauYZxfCWVi8XbRrCqGa3mryeOjiDTDWSLXyUBfYyIK/i0L1OiNDba4bGnrjF/zHyZ+5FRgOsUZsr0K/NryR42xC8v0VtmcZ8FdLqXYb0PBY4aVZji5OD8jQ6LaLgh+DvIq8MWyXBuGQSIa/7MekYXtx42ifvW1+/zKzm4vM83MJ9+LoFcArkEcgnkEngxJDBa2A4PRVPY1Ls5AC0XO5eJmKgvHZooSpJ+XHiU8S0xPQLEDuzlJsBTFq7ZJqAHfkhD+FEWisMoYADDUju+tgub9gK0hMHkn8xosVMNhdZkaAEyBSdd+opMHPWiTtZ7GyPv31H8625dkgZX7LOtqWZqnq7duu3elUF20/kMFplKJ7XvLOvf2tUftRROjE+Es7Wze9g21t1Xe7C7530sAFeeg3PehZUTRIAloomwZsJtFWgq7gBULEMAA4PHxByRAHaPK7B3gh0Bh6W7mcBRqZhOKApCnwDMDCRjWoztCBwFJUdh95JZazJttab1bSnosI3gx+KDAhlJ8ypaT59K/RxjdFdMa00XEgEp5xV0Jj2juhpFVeU/RmWFcXSdF8gd6T3pg4dkmquPJ9+5HifBLOxD8942815vbUbg5jlBoX24ZudrTkrbxrlzznH0ZzRf5QrstMBNtlR5LxLhVV9IAbLA0DX2zXD57UwRZGcKH05Z0quA0TP4N1aR8+LaBmwkvsgwqoJ72UYD9GTg3LXL6FZ5jZJk0RQospTO0QA+5rGcPbKXbkRzWwHSVaLEGjH2HKlNMoB0lrk/hT/pFcDpEZhV829eBWy678eJ/roOGBUEu54TMxM8QCiEkwBM06WsaPaLz+UoLPM5+llvbYSPPXE1rtPfxXi9TgTZ8fCakxPh6atZyp30cAjR3ly8GV6k4nrj46t7HEO2U2A5TDCeDHDfcoqM4S2p6a3RZQ32Ex9A4E87cQT2Hd/M25Z7nNtt+3qFXczB5StsQ/Lp5BLIJZBLIJdALoGXWwJjha3wuvJyHxRpuhqLWnb8L1iABYoKP4Fpuvoo9qr0EMBKgYA56wZXgSEZJfGewXN2yqGwBVOyRT7CrbHIesYOaROBm50AznZG18K58TOxw24080yKm8qbbIRqm4p95luWRr7Fe9TxfMteWb29GWdn+gveO5HmNfA99bN3Ina/9xUgDfBeByQDtqcIahJ5zoOVBuo/n0PEEYGAchEQyGS5ETJdawCCCCo5Z3Ak2TK3T3argvnkBMAxmqHyKasokDxYaLJXzPjOPveXAmhfZQ/dX8GoqTk0o3R/HEus2AJwLgFKjAobo7ICemTanGtkpJ0QEz4OE1mPQXYAtWMjsIOlvXH2ZrDvSOXf6QlqjXLq/AUVx0nNcQyfQMeI9wuykVkzcqqs3+A8MgAX29JeIDcJ4DJaqGajBvzZ7dov/rnQU01YvfNX17nfE6v4DAFvHNP1WiZoW6sOAzQ36Sv5VXrtWdpYBJaCYoGnbW2l2bCA+8aK5sHl2Idmq8vk2rSYbzOOEdfRQZ5b8Zp7bT7KmYm94E+uWeZxAaArK2sKlBsAYU1k/a2Y47INgBoF/MtmCiqV0Q3MdgXE3jMxdQqb98yVtXACU+eUfmQkPHlxNbKcc4BNGcuPfj4BS/udHBnGh5QHKfhfui8+yLD4m9aE19Ii7Gprx0isXKdOj9iM116MN+9zLLeZz517VwZGhlUGdwUsB7rM2o4RuMj1bsLwNtbwywRcmhvT8d2/30slB5e/l3Y7X2sugVwCuQRyCeQSuIMEpgsb4cGSzENSiFSss9JXkThQadIvUcbS4rU+FkHJKu5UwuZGKXRHV0OnjkMSoBHeCsWTmpgEFggEM8RLplPfpVho1y0BVDWN7Slk0XS2x5alSr73Z5I127t04Gh/zcGLh1057Fxqw9TuqkQzXev2hXFXze5YKQJFlF9NJmWmBGkGwVEhFiQ5XMI4gH3Oy5rJIpbq5ShLQUA0ce19HracOOVbzHuoSDqVrsGcUsudbgmgg0nmGDlMe4DG4Dym6hDkxIcFVHXcCmBiGL+/I86H+0mfxPI20WIBwdfWt8MELKN5BhXabow4fGf11D68RxqA+UpZwJbMMFcAX9F81Hlwa7pvvnzzTmYqyAbFH/kYjEggpNysointAic0GU2gayNeKzAWgmYMc12a77ESZa6f6TjsoCa0BsnRxNR1CyYasJ4GHVIeAuDI1sKUOlYE10zkqAwk48pcGun26CS5IwE67l+JBzwyiZdv4NfL0hIoD6wtPTTwwYDjZT9P+5QFfZbgP+b/PIlvpSbGmrRqpmpApEs3kmOgYzrnWsVIvcMA0h0CIbUiuD41OxL3bB4/SxlWTWtdi6a3M5NV/DZXwxOXFgDsKQDSBH7WJ2cmCewzxv2W9s3709JFFo+1CYhE4KPlDR5GtIdgzQth070W9N0F8IsdPYc3U5FsEs21QuTW2xXZSvNbCopHasnX93b1911DrkaM1S8zA5A1+qhiMt7i/AYWG7gkc0/wSZCf+ECkN50koX29vWq+3PnX+6pZar6QXAK5BHIJ5BLIJZBL4HYSmMZM9Vy5EU1UrRf1oEzz7oGKMqiSEC997OTlw8puCUW6THL1zeEwVIMWIFJrLPhPhqqgVEbtboszOXygCBxu0026DgBjoofVvdX8B7s8rN3g9cFjFcisAG+yw3v6FEhGhg2Q4ae+h5pMZgDDMWTbBFim9ygTylJzUkcz4MsEoEOzYVnTe5n7XU23tyRZMAEKNHQESwbW0e9wFBYyM1NN7GQCmIJM5xJBJ/Mc2toIBF4NV1irgKp3t2FiiKm0+SYz1NSTnGsXQMpCOpYAUjCoT6OgyuIeC+JGyRGibNwJZRnlx3n7yIpDCsjcfz+zorx9QKB/p6lPNB3tbGyEa9f1x8TvEDA9hqOkpqIG5+l02wAJzIKZx9OwfRbXadCrAvIYB1TbF6RleHBuLK71PKanyQ+VAD/MyyLbqQ+peS3TvapJuCBXlt78n5VodtvErdRoruLdq4stWGdMbvm+RDqUC6QP2R5qh41j18J07Uw4UT8GUGyGa7CwymGcBw0nYSw16zXViMuW4VSO9uODCx8UzBBA6AHMa68t0xaAaQ7LORjhxy/cAKAS0Rk5ev9N4WN5HFNYWWv7yYr9WHZgt5/Af3o7C9zz3GNVZV3f9aeM6YbzcCp7z8f2tW8DAAXCNXwri72gPfsq3OHLprc/97DpSQaLfpn1EcAtJrbcrsgGUM1Y/g27E9gd7Od+Pd67E+7XFeTzziWQSyCXQC6BXAK5BJ6XBDQw1BT2EXwsMz1bYLQzBKOxs2B4nnCmNMe1bljdbqAsJcphTyW/eXgZye2plVBemQylVj3sjKNdE/ynXxhoUCU72JcZIFOgn6yFta010Grg8I1vfguK237tVTZhZXkltD/5WRTnTnjw3EPh6MwMyjuKLylPHvv4xyMQqI+OhtOnT4cxfCQ3YYYMlrJJNNrz558NayuydSG85YvfhgKa/O8Wrl+P5x969NEIFmTQPvyh38Ykshbe/s4vDe/5fWk1TzzxBeot0l8lvP6Nb4TFSKlPrtP+s58lPQnK94PnzoS5E8cjInE5Aq1nzl8Ov/uZL0Rl/51ve304e/pkXHmr2Qyf+fSnw8kH5sKpU2ci+JCe+9hHPxKOHp0JDz78cFSWM0AZzfTIk3Bjfj5cu5bSxMTF3MObwEt5bWLW2NwAxMQUKwmQaUb6IP5386SomBwthdkpfP8G9uSwYewvA5i92yhsouA7hlLbFUjrwxnBJAFsMLttAyZlyjQhtb3gL6agAeDAjeM/WI31NAmVdTRyK9Vi3YNzSPOLxspxrgap8p9jK3uvy056QpAn2ITyjd14/LQ5MEdIncJ89HmMPpGwoIKzGfwYJwGeWzjgCcpOHtOvsoCZ6kack+bDzr+OyayAb4n8l5m8PH8Ev0zNau3Te1dz2mP4QmouuwCAFkjrb/nIA5MRMMtqXoSpbE3uwJy2SNWD/+vJ88y3Ez7TeZyxqzCOo+E6wFWgKlAW+J+YhoVmvGdIg+K8BZ3n5iZgL5sxGJDA3Ei3RrAdiya09fDRz11mDZi3U4wKOzM+hrntKMByNP5esm1XZhm47HJ/d3i9HMUosYI+U7qYd3Kw7HK/bcRorwTRMrrr/suDVW95LCj1fhkGmB5WvMdlNIcEmMyhzrHPNtp8j5Fm+e5Nb73nMv5hY75SzuXg8pWyE/k8cgnkEsglkEsgl8BLKIFoicrbKAByEsZyrtiKCrlTWCPFxjZBe5a7q33l9+ntC/Gc14vkkOubf3pCzdwyqGd5XMSEb6QRig0iWW5WQqeWonneVHewaa+vZzvnw8PFc7Hq3tvgAPuHqw0Ph7/5/T8WFhaXe9PA/252OnzDN3xtePsXvyl86lOfgk0YCf/fz/zn8NinPhf+3g9+V+y2SpCURx55TfjMZ58M/+EX/t9w5fK1MDU1Ef7Q1/7+8BXvfWf4NGBubRU5ADC++3v+QXj7298cvur970ZzbYWLF6+Ev/sPfjz8r3/pT4U1WKdQrIbrN5bCD/zgPwrv//3vCe/78i8NT5+/Gs6cmcFfrx3+1g/8vfDuL/3i8DVf8z5MSjfDW97waDg6PR3+2T//2fA7H/90lPXb3vqG8C3f8gGAQDU8/fTTYXZmKvzMv/3P4SMffSx8z9/4jvDgg2dQ5qvhf/7qb4ef/blfCv/gh787rsP1f/6JZ8KP/thPAoITGCrBvH3Fe98Vvv6P/sEIJubnr+2JkiOV4yhu3jwCF/S/ey0GmJHxA1ShS8O2yUrCKvbKMD6WEwAT81TK4gksjDB7uyL4E691MY9uk+7B2vMtoglzDIaMfXTWGvHTHRa4+6qLRHk5D4tz82V/pt8YLJqBWlTcZXmNZJoxvVnkWr973uveywKiCwC1aQBik7U0SLmS2FEA7cCaqE46j3pYWt2izxBOYQ7qOE/jQ1mGRZa9lV1UlrKQgkvHEYzIoOrnWIPNFBzrT+mnbOFFIrlOwxjqP2pRlvp8ml8yBdNJjOJxgvdYZKpPwC62t9YwnW1EQPrQ3Ey4WFqDDXafh8ITzfNhdPF0BJQCSAGvGzyFKWz0WSa3rCDTY9dgYCDJviswojLNyr3K85Df/PSF6LPqubERADTBeyZGhwkmNBLnn+24jGY0jXYjKYJLTWNfrqIpqqapg+DSXJSCPYFnheu92+mep2h02JiiBBndrhhx1oA/gllZy9ERxmTQHaIK47oaCXpNeL0vXy0gMweXt7sj8mu5BHIJ5BLIJZBL4FUqgYfxq9QXqE5qkGpEmgRHIcrpGrkrm+SpTF58SUlWBLI7ZXgiWcwtbPyGUcj7SCTKaL+SlX3rVmFntgm+A8DsaiprYJ9Mpcsqxfa9N8+hfA1eyvRTlbLblcZ6Mzzy8IPhrW9+LUpyN/z2b388/P1/+OPhx//x3wnjE1MRTNl+GTbTIih66NgcKSZWww//yD8J7/ySt4av+0O/Pzz++JPhH/5f/xTgNxWmpmfC556+Gmc8P78Q2wkSTA0hyFtbTcFaTJ1RN7cH5amnzpOLcyt8zVd9RXjkwTnA5anwC7/4K+F3PvYpxngzCnmKzvnQuVPhR37sp8JnP/NE+OZv/iMR5Pybn/lPYZV1/LW/+hfC1csX+nL4KG3/1U//fPgr3/lnw/paisa50RoA63HkNPZf/2vfhuKLj93lq+Gf/Yt/BxvbDh/4I+8PTz59AdCSgIumpQIqZSrAcIH8jy+7EqDJYEXfPvztBEX6S64vJtVRMCJgso3X1jdSVNrM98yO9TeUbYxAEJn5aUoLGUDB05Dj076N3GqkOWE47jGCvaBo65trYB0Bi3ktBZGRLXKuB4r3h/Px5b4b0VSWLkbA7fl5Ciadm+AwspXWH+jH+VxbbEegJVt4fbEYGUfBZoUox4uag7IWxzJATloL7Dr9Kj+BpjK1JBlkJrr4vALKlaf+ktUyKWuoLHhXtoLJ6DdLH5qnZuAyAblyjN5qQCQZy1nmlZldKwUDAcmgGlHXtWhi+9rhLwoVIi5fbNwI5YXZCGhOwaBqmiu7qW+ogXuamBXLlGqFICAUIx2DeR4FhF4nIm2btWry+QzRdzV/dk2zk6OMZf7OajgNsMx8LF2z+3Qdv815GNmsbBZeXpihrNwbZe29sUnkar5GtlHT1edatriHLRgy3FXRLFbyW8ay27P4jgF/OI+Yww6Ad9P7ge+e9x67n8vLu+v3s+TyuecSyCWQSyCXQC6B+1ACVcDkQ6V1Apc8C4LYDcKs5J2Gf1qElJHDOrCyBCLUYFWS/dfawteOf4Mq+qnSibBYXDyADAESwxuh0CaJfIOciBMJ2MUB1JAPKFKDp1QM9RXjfxy3H4kU0CIYAEek6KSxji0DCeSr4Uu/9K1hHYD28ENnwnf99b8Xnn72Uiii1G+giGdFJdN0ErKZjz32eNgmWMuf+9Y/DsPYDO9425vCs7T5zQ9+LPz5P/uNEUwMTlOl+uQs6VIIdpIVUzmMkWoiK7b/jd/8SHjPu94S1/DL/+3XwvBwui5wkHlqAQ4Fll//9V8d3vtlb4tNN8hL+S//1c8xjw0A4p72eubMyfDBD/4OLOzrYT/fmg1z6OdDD51GUa2Ed73rbWFtvRU+CMj+pm/8ujAviIgAK+W1jAFhWFi2hz4v8FjlVnNJzTM9FnhkJTuUoXQPuAUAKAb3MTVIMr80gqxgW+bP/Jm2yfozJcgIzJ19dln/EnRNG7C52gacpi2ky7RPEfRmAw98ugbnZsCiccw2jX4qwDWlydNXVmHVKqTQIGcoY2TztXmv+9jT4HlPuCcCMEHjEfZxhv1cw5fS9CGaiNYBcGsggSZMokDFqKoNALW/IdtqKioItCS21fyZyZ9ShktAa4qRCYC6dS1eN8KuAE+gmdX3mrI1XYt9ejw1zu9H9N0rmsjKtI7R/hQ5MvW1Nf+lgGq29EBoLI5FoGoqEh8SWOamR0mdsgsz2QTEFEmHMs680nxNQSJbbtAfmcylNdjUaytxbNd7+tgU/aU5PHySPrObgmuCt3mApaDUSLcynwq7S87bl7sI1ogdFR9OeN9onvp8GEIfcGAxHyaIDnu3/ch8m7KkDGvZaPBwBea0KKPJXrENPGxShkY+xvx7A3abaxWCXN2vJQeX9+vO5fPOJZBLIJdALoFcAvcogWGA5RsrC+FaZxHdT0UYDRAtGz4m9tSDkHzzO2ZcMJXndmfDhbAQFWrPN4ttciTil0ikzbOAyant4bBeS+aNdrI4BLikqMhnCvyu5rFja6G0NhHKy0di9NjdMuAU37Cs4qDiHzuwD05eI9qlZpkJyNppmp2dq9SrMKrnZmMJQLdgiMpoc7+OqWkbBnFmejKsrK6lXIe9zmkazpA6YWIMlurGQpg+MhnGx0fD/JULYR3Tv+//m98ZgdXy0hLK9p66tL1D4BZMXS1r9JnN2/6yOXjtq7/6feGX/uv/DO9737vCr/zKb0VW8tHXnPNSv6ytrQNQ22EOc8bGGn0x95Mnj8c5e03GKyujpHt4+E2vC//yX//H8IbXP5qdvuXnDmxle6MVThyfCb8FKN3BD/CsJpzorMrN+d572VukchdUeBfVANum2biEeaZ9C2Zk5ybIUxmBDULyoYQpPIw8alAemS73NytcikUgY9+CFz9lS03rca14KXQrW+H08Ilwtn48a7bvcwTG0l3wfjlsfXdacgUQKMATzGmm6BzMvykwHAWwrmHv2mxtxdyWmrO6fgFxmevOcbmRQLHBZIxIa+oTS7wO+N3ogc0y4yiXDcxvZcGVTYX71aitQwTgSUzvbgTLglFBr8BR8D8BALSdwLKO2az5MgWd0Y+Sfp7BT1MzXxlQwWMGLBWv46/DuAuM/eHpxykLK1O7TOTe331qkT7LzGMjXFoglRCN7OvM7BQgmMBcCNDxsj21DxllgaUpUubw5fTByyXmauneKpJOvPrSvBWJNN1swIyTu3IYs9S7BYSHzc79ln2sa9p6p5vpkA5sM0zb7VUZfR7KIGDvd88P8VOv11NqGE1uG0RiFhgLSmU9rXe/lL2/lvfLjPN55hLIJZBLIJdALoFcAs9JAnOlZmgEQAcpQY6UJmMfG7tEl9wlqitKeb1QC42u/mso1/w7uzsThodq4dHwAJpiUpSvw3XichlGd8thDGCp0hPVnkN0n4gX4hsAFvPYXVjLIgxmEQYzkG6kO4z5LYChK8g8pL3n1KkEdwYW8TgbLztW4XYGmfL1q/gi/sZvfASlF5NFlOg//+e+KUxj3vrkU8+E0w/sByX2kRUjm/pd0PP0k0+Sow6Wkbm3pSl6a7Duv/t3vxh+7uf+a9YMvyki4R5SvvzL3xF+6Ic+Ej70oY+HX/yl/xHei//mBznOSn9sxixgPhiB/cB8snqDn1/3te8LP/jDnw3/+t/8QnjD6x4ZvHTTcQU2LAK0HkC16+gjdlPN53ZCEKmy3YS9FYz53UBIAqvMnFUGU3lq9nkrFjIbPZqIAmxkNus9n0QZPoGYvp7ntz8Zqz4V1sLZcCJrtu/TyLkyd9HslrkJTu+quBmsQcDYiulCktIPmRjZ18DtOgK453ECgYMAaLCX3luu27FkoZ3rTsdUO2ncKqzqCmwuVeK96foEdiuwuykfKalDyEcp2FaOWwJumCuBpYBN0Kkp7AOYtCrbS9fxpYRV1Ld1gQA9dfo/eWy0z2YK5o3qeoM+u0RkHoVBFJRanIMpRc5fW4clLYRTJycAkO0wjw+mwNaHAzJyNfpcaxEhdmk9ttG8eJrAPbswkM7PoD/uT/o5ALSY4zwsqJFzj5OWZRqgqo9oVjoK8GUsphjBwCLe99G/8i5vh8Om7P27BbDUV/P5/I681byntzH15tkPJrrcH719clzvWQMBcXNxD+hbjLRZgz9jDRnu+p4+bBEv0bkcXL5Egs6HySWQSyCXQC6BXAIvtwRmyCHJA/EIxvCqCg/APC50lkK7izkjOSuPFY/gU0leOwDm63ZP8WQ9MRyD8z4WAKUqzJ5UU4qf6cP3qd3JsDzUM31NWmjvIixXBYBJTsLCDozWRj36YRaKKNP1JuATEEd3vR5jG497ej/M0B6L1+uwX3mwzR9437vD137NV4Sf/jf/KczP3whf+9VfHh7/3JNhhSAxtyqCU8GoSn4JLe7sF30RydQJnIJC2UTZfvwzn+43/ZPf8vX4Ur43TuzypWvhb//QP4rXMlH0K3LwlV/53vCf8bVcW2+Er+J4EFxaLwPEO7ChBShFxdXpCEhk3lzVPgGGL3r0XPgzf+qPhZ/8qZ8BcO+Z4NrXzUWQU4iMpX3tccs317ybMwIU2cksn6SgUQbSiKbOUrZQpk6WLwOSfirTwRJBKMp0jRdYJjJ/ywCmacw+TxwdieBUBTqTzWDbOx3brgrIEvRsMb+alM/Bm+rQTpA1/819udaCZWfKYIgIzhL7CFjDVNQioGy2eDgzxXfqmftSM199XPXJ3ABAmk+0I3gAHZyfX4umreasVEbPXCXwD3WVjTId48GJ5r2OcwnTVuWzxYOck0frMIoEzOkBtLmZsXBpfj3mxBzBL/KUwYDoJ3bCvOzfvJRT+FEaQEgAKlhWrg1MaM/T1oBD5qN0nQL4LE2Je6Rp7jom1NeW1+OeWeeRk0dhSeNjj7Q2LAJcq3ss+L0CUy04PkmAI9OhKH/vi6y8frQT3jW5P9iS1z63UQ6f3UzyzOq+0J9b+DEKLgVqBvHx2ZgPop5rMTCQoFJGev8dfW89xilwbxncx/4M9GOQ68yXtt8bssSyPW6vc48BgBBlASa2isns81lLf4wX6SAHly+SYPNucwnkEsglkEsgl8ArRQJn8bGcLbTQn1FGUV41jWwYuIfX9U4KUlMeQtnk+ilSjjy5/WyodlEiBxcQwc7giaiP7z/BN8KV9Nv1TccGtTHSkXTJf+mrQA68YhP2ZeVIKFQ3QnckMZmhF2BIgOFrT129abhDT5yCofwAEVL/5vf9aPi1X/9wePvb3hguEwX2sLJJXsW5udkwf2MxLC2vhpOnHggVTAD/j7/+d8M5IrP+pb/wTf31ZO2dkRFk6/Vqdip97hNYCH8IkPsd3/n9BAl6HxFox/fX5dvExDggcThcuHg1fDFBiCy//sFPElFyJF7TRHdfQRZf+f73xMBAv/I/P8g+3kJbRt5TU0eYXz1cunQ1HD82HVnFfX0d+CLQES31PqKv5Gb0nTSfJOwjwElWbpH0GRbNRf0uC1clguz4eIUHACmIjuDD0hVodABbvqhbGuoQuAczV17ZzBuAlAYgIGMAY8Pn8Sb7ZrAlhy6Swf5uQKo+cT5cGcaMdxe/Qdk82aQ+k8l86gA6AYAMnwFxjhzh/medazH9iea+gEeufYFUJdE3mD7sx7pGkDX36A36PgXbOImp6/UYXGeD1CUw+fQ7hMm6/pDNzhamqrXIWA6KQQDoWmaOjCJnfqvQWLKn5t5cb2zEwD+a5j4EuyhzHNOUACjdtwX8J2VOH+ZaBmJktY0au7CyGf2nV5sNWM9kzipoffNDJ0ILYGnwqXOkm7lOmhL9OgWQ+qFqpiuwPIVpuevJbn1lkJVnFggOdK0WWvgndsCSQ+LxrGJW6QX+9E/HZg9Y1jGFBUGHHW42MhHxtODeB7O/RpO8ngBBAeHe6u69r8EWikE2lenF9CT8GYiyHazjsXsua+m+CTa3+S021jvRZDYCVDp4sWV6cE53+v4cxHynLvPruQRyCeQSyCWQSyCXwCtFAqpDvtokVz+ohTSJDqs5rIpOfEeRsTxcfpBInuk4nhh4O/ysKle6UhoSXHKc/otXsktJMUsoJvbYgck0gmxhqxKKLVgrfDJ3xtci8HTWghd7VUk/tPROH1Su9It83Rc9FN72xW8M//4//nL4fV/2JeH4idlDu2g11sNb3vL6cGxmOvzo//1T4Z3veAspPZ4OzzxzMaYYWe3luTzYuIsPY9SWD14Y+H7ixLHwYz/yvWFychwW7GaVq0aQmHcRnOdnf/a/hCbspj6W//W//3r4ckxovaaf5MGyvLwUvvVPfX34K9/1Q5hRYi93oAjEP/ThT8Szl67Mh1/9tQ+Fb/+2P40JXmKQFL/sm2BF+fop2yRzJtsnu5aZlWYM5OAQvVsknpJl0xRynNyOI/ipLszPh0988jEYMPMnFsNDDz4Y3vT618NQkkJkG0aWyCr69w4RdCnb0SJmoMXGGgAn+StmY3k93VHpzPHC4fuX1c8+DZAj4LMoz4994pNEB17OLsdPHm/Ef9lJ1/HQWx8KLfyAG9EEdDSyfzHAD/JYh83kI/ofynBfnSdaL85wRn+VeWoSjCiaIDNhTUyPTdUiM3kev8iZySq+p7CH+GouAC6NULyKf6PRWg3W88wV7nf2w0ixfuqzeJzAO1lRDgJXA+4o69mZCfb01+LDDVPmvOtdXxbOk8akBqMWTWgBGxVeKU3JOoylvpkwnTCfGbC0T81/NZNtsydrG0SJxs/SYuTZh+amuZ7Me08DHrO0J7a7QtoXWVHvkQeIGCtoHizeU7Eg02UeOKwPBKbpXRms/oIeey9ruuoU9LGMyI0RIHLjQ4Eh/lAc/Ftx2wnQkcwtzygisLxt3bu+GP+i9WtrZuuN3oYZNQ2uwX1uNUd/ewb6IUh1ZGP1zdwC/bqvEM0RnN6qbX/Al+Dg5r90L8Gg+RC5BHIJ5BLIJZBLIJfASyOBOv6ME8WtsNhdw1eyEyrSB72y1FlJCrz6TdJx0hWO+4UL2de+cihCGSjW8Ix9JEYqtfA9Kju96taKOQNpn/VgUJ9ODdayvBPKgMtisw5rBPjoVsI1UqLog5YCkAwMePCw19kswWvKsDp2vrCwEP7oH35/+Omf+YXwm7/10QggbVZCUzx9aq7fw/Xr18NrjkyH7/3u7wj/6b/8j/A/YARPAES/72/95XDm9Inw+cc/G+vKIDzyyFkwhaoTCizvnjt79gGUuoyHi3pi+JJ3vDme+8znnw7HJuths7Ueho5MhFNzxzGB2zNnvXrlSvizf+Ybw5HpI6RN+Z3Y5hs+8NXM+w8Er5lWwzI45yXWderM2fCn//Qfj9FjlbEpKVT2BUmC1c88/oXYrkaSwu/97m+P5x577DMR3AiSYloPFOcMXKqUHwSSrq2AVq4PpayXCqyBYxore2BiFEB59uQR/Nra4Yf+zveFX/7lX8YUeZ7+E1AcgYF94xvfGL7lT/wJUq18U+juwHABMgdLhT414xRAOQ+ZsVh694jzsLy+lJjd+OU2b5qv2k8COUPhn/7ET4Sf/umfBvyOxP06rGkFSujnf+UXQtU8j4JHop3KFrUAjYI+gZ3nY/5Q7kfPTQOcjFDbwqT3IXwYvScMssPQ0ZRR82FvS1N/LJAT0yLTKYg2N+gRAgRd49igPIlp3Y0spszoPCzh3MxoNF8VKAsCNUc9OlUnOFAIP/ajPxI+/OEPh+/8zr8cXvvGd8T7/SS+mZnpuD9PHxaYBkbzVve2BRAepg9LBKvMtQVrv8ZDh4YJFykG7zl+ZJz9M+9nJ7zm1GQMDJSuJcZSP9FVfEmP4WNppN5sf6xjKhaZWovb+KYRHihg7v7sEr6s20TD3RkK65N7v5VY8QV620VubcCWIJ9MKfvmpXX09rb2Bj6s6t1fdzGu/fnTNpWIe/lClYMzkBUl202cv/sfc2P27vtbjWnaEn0wZWR9BmU6H1NLGQSoSH8vZ0l32cs5g3zsXAK5BHIJ5BLIJZBL4EWTAKo2OSkT6Oniy9fqEn11F5aEEUcLw+S4rISVrnkTBxWS3vEBBcezUcnyvBps7/sGfZYwq/WinND40GhYJ+qlZWRoOJwunorHgwpar3k879suvkQ3Cpsxb1+V0IlGpCwxzghMThbxsl/5kIN1oq3+n9/1F+O8bgAYfT3y6KPhh/72X40g7QtPXSDVQiV84x/76qh4NhvJB3MbsPPkF54IcydPhv/t2/4kyqQBSzBnxOz1ic893mf8Ntsb4XsAairqV69cDhukLDn38Fzsv4PZ58c/eh3zts0wNTkWvu97vxNldif8+m/9TthaB5xhvjgxNRW+5298e5z5tatX4uflSxcBAdvha77yy8I3fOAr4zlToTzz9LPh4qUrUcG/Sm7Nb/jAV0VgsryyFj5Lzk2Dtrwf39Kv+oO/L6YsuQhz1SleD+98+5vCD3zf/96XjuD0xsISprYfD5ev3OidF0j2q/QPIphEMdck0/ULSvQNjHcCb/GT90X2w1IBpNdqFdZWDH/je34g/AQgzj7e/va3h7Nnz0a28FOf+lT4NVg25/HmN7/5/2fvTeAku8t676equqq6et9nX7MnZCEQtrCFAMJlEX1VCIsBAgpXFJELqBd8UQER9eIHcH2FRNxQEEIQgZBABBEM2chCyDKZfaane3rvrq693u/vOed0n+7pmcwksyS55z+pOtt/fc6pzvM7v2exc848kxccKOocR6BEYFIBTtyHEzBU0MuBWJG8o7qx04fdbZVPIGPIJzAqMn3u6emxrVu3+vOxfPmdnTDLlTaYc1JzVGaNXwgAMAcrl7Yx2NxVMJGKvjqDP+L8fAVfPvK1hkIU0JQvZAlgJSZT4LKIj6PkJ6CjlC1r+wsAu6xHcu0ATK4DOIo5VE5IpU/R2od6Cx7dVcBvB36Zu+lTAX32KjUIpr6K0poH5KucxjoeeughfheYxTKP1f2tSyIhF2FFd9FefpSb8LEUWBXjqBcFCrokECxgeWByCuYVABgKak1/F2CFOWP+eeaGXl9DeMnnOEzwHv0Wh/ryPu+OQsmjzWrNE9Mlj+ysFCkqtUba7iR4V6mes6rAmYBQ1Nnx3jKB4rx8EQW4gic1PoSeMfkxN7DG0EuDoylFTGEFShUA6bizgYdO0c2wscYnwjMgmU9BzOvDFD3nMojQR48jf4Z4PnU3A19TgdZTUZb+gk/FDJIxEwkkEkgkkEggkUAigeMuAb1rX0N02E3Zok02YVTc6QglPgSWGlBAs4KvFxyVtabyDgx9ItJP0miDKC9e2DZjpoxBHVUKyqC1BTuqz+n+VH8IRvww0HyiyuE2zmjqlHprIWWJFHKxfdHQYfWH3dx7zz2H1Ln91lv93DQmiTJFlL/b7p07F+pFY5SJCLt92zb/+KrCpQlkhf/ZnT/6kStwOhHiChsduzmYOD3KpLFYLhKp9geYTU7a2ATgGnFs2YQ5J9tdw//tdcSqSRmP2MIH9ygFyX18wkEXZhfsjIz/2H5wS8CeRpemSSGxbfu+mIxIVQF4/OJ1N4ZV6IvFSflkaC9izZqAmDQARSBDLKRyTwqwiJnUvtJvREBO09FH60Ivx48wMJ2ViahKKwysTCh/hFzEDKp87GMfsyuv/EWAWCvgom779uy1z1xzDXlHn2HnnHO2NcRa0p98RcX2BowvjFhPOwo8prMo/7oWgc+0IwFWEPwXyJq5e9G8fG5KaRLsS64yoRaYUFTXEixjJNdnPvOZ9vsf+qj1wFLX8a+kBc+4PrTHD5h3LDZbn7EevQhIdQIoCx68KC2mGu0d90LSSBSsjfXruRmdwpeStCC93QqOAxMJpVgGMI5OFj3FTSf02RiRUxXdNc9vpwyglsmuwN14seY5QfXSQeziUE/BNpOPUrKX/+LpG/vwcSwSpAdgi4nsKlKFBOGeWDlr++AHf9fe9e73uRi4jbZ/hJc7yEp5KuXzOE3/Q/hmDtCv7vXaVRlbzb3/8fYxZycrUF0lTMf7MdcW2y2R6jcnFDUOSBTrW6Uf+XCKvZZcx6eLmGPmbM1gq4Pdlsy0BxDSJPRMTPL70p2J5K37OY8P97xyXeqCPse5pLjv3GIHY63khlwJWEZD6lHSn8AjgUvNXQCt7AyonvEFqUfdHJct4ozcypf0p/uvAERKd6IAQh6zSzfnKIraisnsAFwrmJT6KDuTyd9VQKZechx3kHyYeSXg8jCCSU4nEkgkkEggkUAigcezBGQAJuZPWl1Pqst6WmAl+DfWmCBi7Cy5KkkBwtWuNAFCSEGyJhv4tEWqjAeKlQCklGgbLyhhhxQfKzzL5YdTZDTOkl44IfPIeUwFgyvRTA4Z6ZhOCBypJ23LaKLBfqAEaxlSKB2UiNnw4wD4yYROoEp1fJ8d36eS2vi+FsCOMzLhOU0OEssZHpmfTqCUx/NV6vpKxVcrGWqHfn2XLymNMs1zEBAqmq2wYlUBRa7JL1B1+M+LB5wBTMsXTuxZZGYqdkxJ7vuIJtqp4DRhX8H6UaplVkiwEG0FLsT8qU0Ahn2FjJH2cTVQDmApZvMOwOUkfqkXXHCBXfGa1+D7h6+om742bT1s8Ad/53eorcidRGEF1Ag8ZgBsYoiLsMHTMM4KGNQOAMsBWAVyxQRrTRm0ZaWCUZRa5S0VoD1I3lGxzQpYlALAlAFnYowVpVVATvOuA+QU9bWdj+6TStbNodfRFrNWmMl9zb3WwEzcZQ3Lli3nrT3daV3QR3X6EZjK5gso5TUCqMyS57KdFB79bKGXKOtW4x9cK/MSgRc3RD/u7OojcE9rkMsTc9pStQxQyLGWIutkH2A2NNAFozsOeKkD/HqtXKhzD0k5golscJ/xgAbIFrAC6Ohg3OkpxiDIEJYAGeSitXgKC5hJPVPK69lNUJ4iaUVmQL/ZPCCW9TUaJYXucn/Q3u4eACJRcGdLDkDL3IM8ILcXE1v5wJYxae4hv2tXVw/zquDXSc7LmRJgscr8CTbEA7l3/4j/flYPDThAFvhfhw9nrTblJsM8fTYIuzseBntyS4OWNuR7lDShS/TYvvTcCgTKAlssX+RPerhe9PvQ73uloqA9kmuVwFKqJ6B6Ik1Lw5/qSlMJxgdgKtqt/HkVxOdY56L6bR1B8CneITjQdJNZGOSHk9OKkzrGkwm4PEaBJdUTCSQSSCSQSCCRwONFArur7bauRYFcAq1KwXsG032YrbZbDcV6V3WfTeGLuSqzCr8vFHEwhECYAIZAidIVuNKLNhRtD7t2HyKmvWk3QjyHaaTLUTMpXAocIpM+b7qsjeblQAcN0ff9mPZUFpjQNYEiRerUOlTiwEk+ifKli84H22h82vgJvxx+BQAyfuZo92UGqvmoCMTJdDQAh6EcOScmQdckZ/5zs1fV0TnJRfKWTPSlveBccEKA0vvnpNqqBKMF/pcKFiOWTGaRUZGcpvDfEyhVX/KPUyoRbeWfp0A+kquuZQA8GZ6PDMxeK+bKEGyAPgBprt1mxtF2KQIdmqMAiYpYyCiFiu8zIx3X6Vdjy2dRIEfAcnxi0q7+27+1L3/5y7Yv9C1dt269PfvZz7Zf+Z9vB8St8xtbBWT+0tvfbvfASr/nPe/BL/X79u1vfxvTv3k7C5Pn173uDfbCl7yMZ1cmqQSGYu6KzKpnQPLtbs+63DU/zVXsnuZbr8DUVwB3rBsSk7H4ZQCU27o77Np//Re7+upP20tf+j9Q7LN27bXXuh/p4OAgfqNX2JVvvIoIvHvsj//4L+zf//2rgMVJv4dbtmyxy1/4Irvitb8I8G5zM9W5uRl705VvQLZV8q2+2QPx/OAHP+D3VbcLL7rI3nDlm+1FL7iMADySlX5zGe5R0a6+5m/tK9ddazt27EDuLW5q/PrXv550Ni/x6Lx/8sd/aN/73n/a25HNm974RpjJbtbS9Pn80z/+g92Ln7BMgXsxxX7G059uL3npS+05z3sRQJTIraROqRSn7bN///f2zeuvxzd51Do7O+1SZP/GK6/EX/gSAjS18Tus27Xcny998Qt2O0GRdC/PPvtse82rX21X8GkyV2bsa9ffC+W6FLBVkfl5GpDOo3PCStndRMX06dkLfwRHGE333403ltXR70hmqFzmfvN74iejuieqPNxLt2hczQUXVY8k64F+OD7WIiDJI8/fCv3+ApCp9cqnMwcAPdq5HOu4Cbg8Vokl9RMJJBJIJJBIIJHA40UC0upXKHBaVis2bHVlq5VJfbCvXgqU7GV1pWT5J2TOpJgoTYGYNOE3HTt44pyUFYEjmV9KsVe6kwxfOg6YN8cLDgAF/tQ2StmgtBYy5xOrpEAo8jMTIgkYQ+0KWAZbvnXpqMqF559lAwPk5QyLzOhmiYq5feceGxkNcnFu2rialCMbfM4TkzN26x33eu0uksdv2bTW1qwa8HWVUNZ3k85k//Com5c+/ZIL3ExQeiirdeU0GufgwQn75g2dyn0vAABAAElEQVQ32+UveIYNDXU5yyTVUOtQ1FYF5ZmCsVPZuGmTdXSRpoRrY6OjDmR0PgcLNTgwgBlnn7cvwfJNjI15oCJdP/3MM2BYAhZNx5FINMYMTNau7ds5Gyj7nAI4Ahi5EdOYL8rfT5FKmbbfzxzmyIUczBfgvgWgk8kAQPnXjLRx6gn46F6jr3qpck2M4jnnnOvBcgQAP/HJT9mVgKA1a9ZYHtZL8tZ99n4E4PQg0O9v/vZv2xe/+EVPlbKJ9YtVfOCBB+yHP7zZ7r77LvvMZ64BNLQ7CBPAku/mxz/+cRseHsZ3stfB5fUAox/+8If2l3+Zs1e94hUejVZBaPQSQaamRdY3yzoFmFU0j1F8JlOsIw07ONjRD9hkvXz4j3XzvKKJT06OO5gdQ9YCsQKVhUKb3X///YBicsKWivb+//0+9yXVtY0bN9J33e644w77z//8T9u27UH7049/EnY4Z5XyHABxu4NRRdCdwo+3o6PD7+G1X/oSoO12+/TfXA0AvATWHnYRf9vfRjbXXHM1QCdnmzdvBpjWHIQLlH7ik39mL3rRi0mrswc53e2MsSQq0PwvX/gX+413vdNldh4Regvktti/f799kXGmGfu8C55iLTCxFcDw737gtwi+9DUHn2vXrmNek/ZZwP7tt91mf8vY55xzjn3pn/7R3v3ud9ssvslaYwo29aabbiKI1H9hgr3P3vq2X2OOLXYuUZZ3DE+7z6XkrL8XazDj7Wpv2h0E6S0Gj6AuHZcillGpQQSaWuVMfpRFv1M9A/7Q65tdpSwR+ymmUgFyHmtFZr78acWvOnjh1yYz3UcwTX+BpWec/iQDmdyWAdQOMjn3SPo8kqwScHkk6STXEgkkEkgkkEggkcDjWAJpNCj9i4oScbu51TwBN2A6XNECAMJZAaBQ/tHAgk/UQluZxQYgQYpJCbYr6lJAJijYXq1QpNCpfdSnakdpRRbbHtqwBLsWL2LCxAYG/dFj2C9de9EmGmNhy7lzz9piXyECbAW2RkXXzjprq13+vGcAFrbZzl277UmkLLn7nvsBm+P2qle+0Ib37vIck/IR3Ld/1K7/5nfc7HLzpnV2yVMvtDO3rrcH7sNHkv5u/Nb3vd/4l5imV7zsBdY/+CBRYLvsmzf+wEGl6mgdZzOelP/tDz5oo4DJ1WvX2pe/cqN1drTZpc98soNLmX+eTvCbuWLZvn7Df9nM1LSdeeZWj/raSu7K3TsJTtTda9ded0N86GAfYTz/uU+3dtio/fsPwHRhkgrYUu5DV66RgV4QyDzWwaTQItelYTbdF1HdqK4AJoX6vsVXt4m5JSd01qpQRwpgc/5FT7aXv/zl9s///M/24Q9/GGD4GVu/fr0JNIpdvPwFL7BnPO1pLD4w5U0Bct/3vvexnrPsoidfRDTZi7zPm2/+b3vve37DbrzxRgcxL37pKwAQ0fOlQCXz9olPfMKZtZ/85D77wO98wG6++Wb7whe+YC980UttAl/HScw5xWJ7lFRYRzHZwbNiNjZ2kLQwH/G5R+vSge7Ju3/jN6yfiL2Rki1T3N27d9vv/d7v2Wtf+zobJqjSTTfdCLP3Jg9U867feK897WnPsJf81Ivt9DPOxIR01m741tfs/e/73/ZlmM6r3vwW7tXT4PWCome9u7vbPvqHf2SbNp9mP7rjFqIRfwAgus2+9rWv2gUXPQX/1ZRd95Wv2t/93WeZS799+EMfspe85CUAqTn70peu5WVDqz37uZc5wFev/vuhX7A0wG7Orv7Mp30t73nP++zVV7zWBvp6/Pn6j+98186/8CJrtsAmIowvff5zDiwVYOm3P/BBu/CCi2xqfMS+Bti86KILSeFzNkGgxmBm/9jB8K/92jvxo32z53T90hf/1f7fD37Q/vzP/xyZv8TOPutM5D4bS/2Sxq+53ZnLcOnHbaNosHpMZboq38J8LMXJ0Qyi50B/riQ3mYrKDFaEZzvmo0fDfB7NGMdSZ/HJfphWTLK9U36YDf4eNHgOAJy8yHukRWvVmsU2K5WJ5OkMJ4hQgF1/Ix9tScDlo5Vg0j6RQCKBRAKJBBIJPEYlkCXNh4CjIkBWyrwBRzkRGYXOTfTGMmkCKiidgEXSBKTnevDhwoxQGpeusyYpYlLIBErEMkYpLILlqsaRi9qqJ1eEl1WNlBgHg2jhgjD+hp3hpd/ovDOh7Cu9RJF0HgLLwkJ+PcNcSVmislh3sY3qqL+bbvo+uerK1oXPXKlSsc9/4d/shZdfam+96jU2Nz3mAGvnzr1203d+4KlLlGdw44Z1du/92+3//Onf4CfXZ319vaQo+b7dfMtd9r/edRWMSYE8c1WYszt8/B20V87BbnzXenq6AZeX+RzFOv1/n/4nO/+8M5kL/or4Cn6O1ChveMP/Yy950aUwYUH+Rc3xLMDjs591sfe3FnB2YHQCMPIXkp6tXj1kX7/+u/bDW++yd77jSpvBx1H3JBp/FlPKmZk5W0MqFrGDz3nWU/DBK9no/JTV02jSOaXRMNvQss7GCNiilBUd+F160X1FVrpPYnO0q/smxtlhJYL0y6oioYalhk+hfB0rKKf/50/+xDZv3uwmpGIaxZiJVVT51Kc+5QDtf7//dwC6KWRQs87eVXblm9+K7HOso+5BZ5556XMA3U+C6dth+/budp/Rih7asPzCL7zann/ZiwFbJTvvwqfaa1/3BgeXYkxnyVUqH9DBDNFr0ZAVyGcCn8EC5sjRcyZzWn2WF7F0ApfxIgbzyU9+sr3tl3+J+wYD2ciTK5RIvwDjBx4atTVrT+Menm7r1vRLajYH2/68Fz/fNnxqg91/3/1u6suFQJiSInJ7E4Dz3Cc9xc0uf/ZnXmV33H6bA7i77rrTmVP5Gn/jG19zFveqq64il+kb3Ee1o6PL3njV27yPCs9vYNgdzFZDzBG9ViarkoFMYc85+ywCJPW573Kuvdde8GKZDSuwEJFs8bG84Ybr8a/ssnf86q/b057+bEB7xU47/Sx733ufBLjIuM/qj+68hzyv223Dhg32zl/7NcsWut28+c1XvdW+fN11duedd9o9d99pp592BoGNMDPmZZAYYEW8HVRgoONU9DwqsFAVhlFFv2dFhD1WH0S1lSWFXqjNI0CBKaUXeST9qK9TUVoB03pRJECIwYDL4dHMQzKQr6r/bed/AZINj4cDTN7LIOzF3/qxjpOAy2OVWFI/kUAigUQCiQQSCTxOJKBU9U0ClcgUUm+oBRqaLQRWaZuzemEev6mQIQSjZWe7Pf+dVAoHaygX0i8UxEVbBdsR4yVWSFozGMaVPeGNwFwyUKIFhkQB6byUQZnICsxG/nw65x/O65r6UV31GW50sKRo/FYFX6GIR/UCsEyLwogKnXh7P17c0+FF559jv/TWK3xd13/zu/Znf/l3pPF4roPEqHl8203aiv/43Fcx7xyyP/j993ApMKet4K83BbArwaKdc+6Qfeyjv+kg893v+wMHkG99y2u8m6mpmXh3+Oq9wi65+HxX5P760zBH1/+HveylzwfgrayI9+Ar94//8o+Y6mXtDz70XnziCvZf378doPo5u+ueB2w15rKyY9b4ksYnPvW3tnfPfvvoR97nsi0DJMa3327lnjEEpjuC4sgnn9no97HiTGUod8kNcTW5Z7ovRypNgtM0a0EKlxb8MivleY+Ku3Vdr/3mb73frnrL22znzu3O+u0AnHzve991JvLTn/4bu/jip9jP/dwv0L2ClGRshHyYt2BKOoqJsF4+CHSOE6xHpYScZwlKVPbAQJpnyjZgmikfUfHsBdpv2bSR+Sr/ZhCttR0z3EYtUGvTmMMqwI0CEkXl0ksvtRe84DLaQM8sK21thQVgrUsy0xWwahJBee/IFMGBKtaWS1svkVwFuhXIaBy274c//B4mi7P+m5icmfDAP2J8lV5GJt1REZu9bq3yoZoN0IeIJ/W/WACoc9MwmnfwjDTsqU95Cji2QRTWEuPPwmrnAW74SfOGoOQ+rEHfzszy1A/wYkNgWKa77//A++1Zz/p32M9BmPN+O+e88+3sc8/DB7cVxnu7mx/LNPdJT3qSKS3K6BiyBmBuJGVJV1veJkmFcv8D9zlQFfu8eogXFvzbMzJtLblWT+cixviee+62F730p/3e6bkZJDLt6v72BWbV17YogsWlHuWewI4injK0AylE7s9BxC4fZTdeTQBKpqA8Ppigw/wx30fSz7GMebzrar7KYcmjxAsBIlNjKqvIsg/3m324efjfYtyoW3Sv+LnId3dmVvky8UsGyC/Q7w/XUex6Ai5jwkh2EwkkEkgkkEggkcATRQLZRs168A8bxcRPiklKLGZhzqoFAAIA07W2aLFcP219D8weyjuKVwAcBSrZ59piUUccudK4THMMEMpi1SV7Ybsl52IHQr2HKcGlwIRNVQSCNAENt6So4sJJ9be0wlxxHgC2j3yL52DiV7B9wyM2QICTlYpay3y3jjY6TaTQnu5Oa29rdWAj0CQAoNQk7TCYZ+JzGBWlNJHJ7N5hQN2yIhZTwWza6EfBbZzNXZjv0sqKjLoLv9CtWzfhO5eznQ895Caxa9euIv2FUkZU7cf4JsovLz6+7t09MGF7h6dsvDFmzXaBq1C2oXgUNEkBfwJxBTISeIik1WROYKClgZE41nWZ1s6HLFKJpPSyNlaexF2MpxcPeXz6zj3vQrv4yU9BOc048/eOX32H+1d+85vfsF98w+t83M9/4fP2yU9+0v358nleEuiBoxwMgab2FXFUUVOjopcbg+TgrAMgU8hHIC8q2osYSp3zVCv0WYH1iso6ggT91nvf52CUZSAVMUAytRQYrNnkwRnmTDCgsI1aiq1vh+EV0J3FRHmQCKuriJJ6zTWfhoH+R9aCmSL3QC9g1KP8NCOWnku+1gX5M1+lHIlN26em+6C1gl0x3664LDphFhUFV/lL5Qs6xLoVPqcFmeZUMVbaCWAkRv9dv/5OB+fyzbwOdlEylUzEZF/+gsvtdz/8BwBoBW6q+ZxlNtvJs7V+CDPrkTnbtmfSejpb8QnllZTMGygyzxYwLnOjBWS1pq6ubl+jzkmOeua0rnUD7dRdOrdQALHZHn5X/rkSPdNzdk5yEniKs4u6J8dUmKCYdb2jkE9lZAJ6zP0c06AntrLuaRuMo8xkBZjldi0W8tEW//0A4FvF6vKyUQzp7CxWBQBayU4/0fhv7EjjLf5qj1QruZZIIJFAIoFEAokEEgk8riRQTbfYbLZgvaRLqAKGrEAChg7lXhTgCJURNpFaIpxTIDqsSnTOD/zEsjN+GJ6TdhwVdRI/js5rG1Vb1pVXOUK7xUtqGIFK7aM466Kf9c3DfsnMsoDCLPAmFjKVXgyIE288TeCVyzGd/ejH/sL+13s/QvTMDpizdc42bj3tNFNOzSpAoEw/y0uQOgMNOZaG4cZv/cC+891bUAjLdufdP7FXvuKFLKWBqS/3Y4UiEQrwdJJXUWk5JmBLmw895KCgjHmwInwKJETBauJdVDkvM2BDKVRpsaz1pLsX5J8DoMwACNUW+OG3pUHeGZns1gDuGrvOVsCxinJer4srpDuUTuUuLNaCaLECYjIDbmtvtXUELfLrPGcCCPJ7VLqNtvZOGLWLHVzu3LnTAw0dgLH82B/9ke3ZvRum8y324hf/FMxcJ4C97j6bu3btdsDSwbOoaK7RPY4/lAIi8bL0KGTMma+isi6APdrMATSmRqcASwLXgpfBsy7FOY85dBvgWGApKp2YY3fB3hQBlgLWPDBEYr0bn8NP+guGX//1dxHh9lLatHBPxuz97/8tu4+XC+pBQaoUnCoqelSVCqaHtCNtsKfRvHRe+SSrsNQCczo/NjZhB6dKbta7CtAmWavIBDe+dI0j0Kff9DlnnW3XXH2N3fnjn8Ae77QpTK53797FuU/jl/p5u/Q5z7GnXHwxfWUdxJZ49iTbbnJjVvqa+KvKvJa/AcwjnwNdUObw95zndzI6gZM2g3UDPJU6Ru3ygGqJagDg28+a4sByppKyncUWYwlW80i4PIdiHlcAQVovjzjPs/x8qSN5EGAnIpjla6miZ1A3zI+CUwv74eHCM+73VnX5aK68S/KxZRIrU1t/P6X+TmVZmPQjm0Se4D6Z0ExWssIqnAdfT8SjL7oHHuwHU1z5pwpo6px+J3oUV7qP8VEP/asYv5rsJxJIJJBIIJFAIoFEAo9bCYyn86SP6LDO8izRYWE/QpNYqSCRah2pI1IeViwrXIiqBvpR0JtretGFQzqKaVLS7MImC9rgIfWXnlicwkLDsEIwYPAdG8MHWNaHFHNOad3B2tmPN4lV3793r51BQJ1P/ukHMf+7z/YQJfa22+62j/3xX/k5+axNhP6SsWYLu668BpPyc12d7QDDFvvXG75LsJdX28++6qeI5rrNAd1CoxV2AgAiUzhADqa6reSCFGsqUCqW60ilj5Qz7Zl+AGTGCvyLRCJZykxQeSDFM1Vg7pRnslbLOBMlACOFXKbOSnkipiyHiZx8UXU8MxaAy4H+HhPwyfAC47rrvmwv/qmXACyV6gPgSv9uVod8H3jwAZ/mAKa8BXI97tr5EAzyHhOT+M5f/VX6GPD7onUJSB/tMxFfu8DsLOuZmS0CikNQxxoKbdzp2D0WsHAmRiwrLwbE+DhTT90cWrPMkOP6ucAOerv7qE7N1Rw43/eTHztD+JznPNde//pfxCS1033hDgAuHfCrEWUOs1xFro1KDnZScjkwPgcDqlyeixOTeXgvAX8uOP98Nym+9dZb7FnPvdyG+js8l2UK01/NXZYFRT4LN5M9N9nNZ7g3mDPy0mBg1Qbr6Fvjw7YD0Ifxf/2Hf/g7exCT2Vf99M/Y6aef7oGEbiFSrQIu1Ro8EKCTVYNd/lJAz8OWrVv8RYaCGu3eu59nb8CG8FmWX+eDDz7oIFiBjFR6YTsFHKPyjftJd9KfthH8uPmP51TgBDks/B7YCW/KkntD3eB+YJoZgpmoT8Tj7WP8uoMd9Rl1q2fWD3wT1ETkS4CQ7rXEHr/H0RiPx60C+wjwCfxhmOEsZvzlyKNdk2SqNCjyPtBjrZ+ncm8qZ6ZSpcRZ5fhYCbiMSyPZTySQSCCRQCKBRAJPIAkI5FQhIdpTFfy30BCmO1Dk0RDa0Pi4tgCzFvXcpatHuaCal3gV7UfnF8HA0rNhsxU21It3tkKN6FRUbXEsXQmOXJmMKvp2aa0ll9QKjbKzs4sImDPOWnYRTVXM1kpFaRzEzCjFw8VPPseUduSpT7mAICi/40Azz3XQ5UpN/VwWhi+AbkGVSy45356Kz6Ui0n73uzcT8OdyBxqH7YCldAJID45NupLfj+9cJpu3r3ztP4jQebptXLfK01Acrr0AotLNtDazANiGTROpI8hnWQcI1R3YjMGitYAKcqQdaQVU1dAgxVoJROYBlJE0l9/VbKiZa07dyPAv/uov7SMf/n277LLL7GUvf4XnVZT8RghI9GVA5xc+/3lny171qlexlhbMegGkyFWRcm8jqM1lz30eCnLavkuKC6XzCAA19yuaQLRIJqLgLkV8Ag0Tb+XlFDjRZ5r8nWLYJqfn8RNrYR2kGHHEI6AcdKDnpZv8i/znZslRt9F2OeBQM0/fwo76HCdAkECsTFZVlOvyxz++l3yVFwKGCJTzzW868BIDLDJRjGIL64qe0zRIZwDz0d2YEM9gZrs4L/VGAyT+spe93L7yb/8GGPx7guycbpe94IU8A1VyTX7ROpD1Fa+9EoZKuWfVRkwS95l1ymfys9f8jQdSevkrf8ZWr8MflTrb7r+POd3vMl29eg0pYzrI3/lS+8hHPuKRd4cGh+zMs8+1A6R4ueGGbxAt9iK7FFC79bQz7bTTYOjvvdf++q/+wn6ZwEZzM1n73D/9Ey9ZbiW9zpBdCCM9N1e2kYMVO3dTj91zIGvfK2Py3cfEtBwQhkCGgIlShvi9Asjqb477cQv4McdoLVQ9hhIK4BhaqKqsl6MXNsfY9PhWf2TTX3EOegZkPiyTX/lhFrCaPx5msvHB9Azzk/WPotUGgZG4yYDMwjLTZbVLwGVcesl+IoFEAokEEgkkEniCSWCm2WpllPo8Su98Fbam2EEEUXIswmI6iQh7I23wJ7UH7OyWMxZXj0JxJB1I+qNrjIstAqVS2qI0yeNYDtebD6VxDlchnEMVEDk7O+dg8VrSfiioy6ZN62wPLNpKZQuK/bXX3ehg6BlPu8iqRLv40Z33EsKf/H2AvvnZqZWa+Tn3TdN8lglvanLKzWHf95sftf/4zn8Dwi6EFTqwRFRqOzlTRmmft/POPcO+/o3v2G13/Ng2Y5J73XXftG8RVfY5l16CQj9l+8eKsIsZOzfGjokZGxkvEhCnBhtZd1bLU78wF0XzlElsAZZLrGUb97+vHQiMcpoiamsqg1ZKvfi05VMo/ztnYsMlKV2JF7YZm3czYwWI+cpXvuIfMZQCj8qPKLNKmXq++c1vZu2vEKrzQDICMTfccINdddVbPKeiFH4BmU4AlIoenxKgWIxqBDarMGoHyEM6jg9sB6acVc1D8+XT3pq1fswz1/W3+hq1hlnMctG3Dy0rnTu0lp9RuooydoFzyKuCPA9OzJE+5anO/in35lvf+iaeo81EzZ13U1Tlw4zmK+Y3Ysi9MxY1BQjWr2q58q/7VoUWeu7zL7crSCNy9dWfsV99x684u6u2MnNdvXq1rV6zzl758pd5d/rSOgus/UvX/qv9+Z99ygHv3//dZ4O8lADbXbSTH+gznvFMe+UrXwmrW7dXv+b1duutt5KO5Ov2cz//c7aWVDjKv6l658OcXn31Rtt82ln29v/5DvvA+38b39hP2Oc//y+A9Rbya+7FfDhvb3nLW+w8ouzu2T9JztSKffu+Sdveu8YaPEIrlQU2zRlOzfrUFAFuZ6NjTOupmclx/xPJCxxYTNY3T0RwWQ1gJHDCKFqx/52wpvp9lGAy054bV0xmAGwTcHmqnqpk3EQCiQQSCSQSSCRwEiRAGBlroGgOdZRsZLqVN9xZy5RIUN8ugISfkyKHoqGDOxZKxLYsnGBHKuHD6+WqcXKVRx+NL5/bChOUv9rNN99ht95yJwp83QPi/MrbX0+gljyKkfI2BiULU6kiEKM1iIH68nXfIL3GN1w+c6T7+KW3XEFakh77/v0P4D9JBF7MQMEFKHLQM2oL0DswUQRUlTgXaNpRRNixiRn84k6zS5/1VEDjTfacZ19i7d09DkYinzqBSwXb2bFzj/3MT2M6u2u//cnH/8bNSRWl98o3/Kz1M/599z3oPo4ZAqgIXOl+BR+AFn6Cs3MBYyb/vgz3XkBHCr62AjJiMfFy83Oad7OG/12mQKqKwAdUffp5gkJxMjjgW+JtEDFWZfzgiFVK0/YLV7wewHWxffvG6+0b11/vAKSG7JTr8oILLiDty+X2+te+1plEBTJSVNeP/eEf2icI6PO9733PI5z29fVhYvp6rDNb7FvfutGBjACyUlwocu+5554LAEaRbZvEz3UcgNNl6XzdnvXMZxLcpA1ZA5phK+uY9kZFAYBwW8WsL+eAVkx0VAQAV3rGdV39yXR046ZNntJkZmqeVB7y0STwDwBzPea8H/rQH9pnP/sZu+WWHwKKf0wk2HWebmUS39g77rjdX0p0tXMfpmFLMXcVMGyA0EuYrfYBgltxkJOps/xRc/g3VnhuRsZmfa4f/egfsN5zPK3LQ/jZap6vetXP0P/rYbxfynGQM1MyyQPcJ2dL9hxStHwMv9Ubv3m9ff+/vucMptjgLVu2AFavsLe97e22ddN6/ITr5F8lyvEffRyW8sme73JkZIT0OT2M8Sp74xvfSCqTs/H3LNrP/vwVBPfpsC/+6+ft9tvvcJb/ec97vr361a+2X3zdawEyeuYCX8nWVNn6SXtzoK3PGtHDEwn7MbRFJB6U6FRPST+vFf5UPeppyUy1oz3NS5nAfBUr+iVmwY96gFgHeuEkkKmPB8bitybzXK0s9ScPAjuT8riTwPYv/rUduO27tu7Sl1jX5rMfd/NPJpxIIJFAIoFEAidPAmfnRmxtatyK5RYbnSHiJuZpta5Jq+fnsWwCYDKVHEFJzs6ffVile/lsXXkQxbS8RMrlSteW132Y46h3cUD1UhCB1dlWLqRa2khFspQqUX0wgJszCvQ945nPIOfggYVRpKgPDg64v+KP772PNBiTdslTL3Q4rByBa9etsS9cez1M4VpPLaKl7Nkz7ABwHZFa1f6Ou35i+4dHfb+DgDuXPffpNkzkWQVKUeTQm2+5HZ9I5f5L20+/8vmYHI54XsHZ6UnAAD6TTZQ/xurv77PRkWFPSbGXObbQvrOjYHf9SHkP07Zp82ZbtWaN7SbCrZjM9etWO2jZsW3bgr9nCubySbBNY+OTQpi2ljyXP7rjR7ZvdNrB0BA5B7WGeNFtUbCYSrVoa7p054MiU0UBqIcr92/badd/+wd2/rln2i+/5c02VSnAxKVJj4LvYaVEvs1ZouxWrRWQ1tvbE/oKVj0oThFwpeilaVgwpfOYgwGex1lM0Xv7+vrdl1TpRnq7OsltmoMxTdnw3LCVGiUfYyYzbVPVaViTDuvP9ltuHqBGupBOTG2VdzTw2QxWoKBEk/hJZvBFVBqRHGPKZ1XAVyBXJQ4wNS8BvhrXSgR+mgdQNtJZa4cF4hWCbd8/jflwC3lPO2wUv0mJqjg3E/QPCGtt67Dy/BzsTdpW4Y+qfJsaZRjzYKUVyZLGQ89xL6AzA4ieZ50T07Mun3S21V90rCbdiF5UyIR2njylw5gOKzdoJy8hxHj2Ed1YZrF6KSLGcJKXGGJoJwCDXTw73QRXSjV49gji1eQ3XkAug5oLz4ACJmkeRdjgSRhUPa9ZzOVLpFLRvdLzWIPZ3EvKkRovMlYTFXdqrsqzaDaJCbj+SqwhLYme0TSL38cjd9O+pq2pD1sW1nUequxADwGJshXryT3o8j0w+WQrZXt8/7HwJfCjFwsKhnMqi9hFMajtHSdmHvLPFauolCUKjqRoryel8EdX7+YScHlSpH38B0nA5fGXadJjIoFEAokEnqgS6E7P25Nb96MU1m3/RAHFGXU5V7Ja98GFJeeJnLq1ZYszTAsnD7MjEIe2GX1pZ1mRMuMV/PzyqgvmgmGVxZpBM10XCFIqiAZ+dops2qgDCmolD8gh4IhHG5/sQj0pjTIBFTzyLftK3SAzPtQd9ejn5WcpgOFMHpqzzEU7UcrF6kmpFkAR6BAzo7Y5KfvogArWUsdEUiuLQImAm9KLSFGne0AjaV+Yx8xs2R7cMcr5nHVjqnn6+iGYzoAllZmoEJ8UfYFMAQ0FklF7gQa1j4rYJ81BwEdzXimIj+rkfI0olERP0RrGpwGPsGGr+w4Fl+p7gvnNAljX9cDIaRG+Kr6PBC7TRAfNdjnT+HX8CxV85qo3vdGwFPWckhtXk66lNefsrRhiBdapKAANIKgIUBPzKhDagf9iO2atbTCsBRi8PPdI90L3bB5mbd/oDL6cedKOFEJZpOyu2t0ANVIvwJrO8wzkCFTVBtMqQHxe5hxAEkCOMSXToADF6HOMCKjzpTrRbDuc6ZWMHWSFMo5ELZnXkYHYzrRAIXNR6pFR/FJbAZeS6YRyxbKVH67WMTNO6hLA5upV3YxFFF2AsxhUhiVgT7u1Y36sOcxyfnhU5sHUBXxprZq3rikYzwHMm3Xzlcojz1h6tnS/K4CDg4yv+p2kQ5FcsoyjteiePbBn3CZm5kL5Vmzr2j7buLrXppinmKQsIHeQlwuKRBv8NgjahOa/bR8m8axV0V0VYGkVz4jS08gXVyllygDMDYMdsLVVG50q++8j+I3kFlKpKHjs5x7EBHjIbP3cqA3MEs24dd5Kq4eRAcC4SYWwjMwumvHqFKK12QZz0mN3kkuVNDqKSltoOzGg7miXc6LBZTQP/RyKczKT5eUhvpLR363o+onaJmaxJ0qySb+JBBIJJBJIJJBI4DEigelGK2kmACoplGO91lbhuIniirsManvTNqc38s0/FO3lSohaBIq4rgf7rrBy4MfeLqgU1Y3OS8FRYBTfolk6UFQfYRv1w67+80/wxQE7uhQvqZRyCgZaqefgREcEV8BeBUq9K+Zc1pal+RY93qOiThdrHvhkLcxTS4bcilyX4r5YYDRQslHDFk8BOeoo2wHPJRemeP2gWt1BJzZhsaJqqqnopelsFWAZBIFRlbgpro4FZutEFl2pKILq/Pyion64OqV4HQZ2fz8XngR46Jx1Xex1g6A/mRaB12DNjfLiy4b4WH6LuHc1AUZAq4p8OvcCmurISwByx76GAxHdT/Wfw0RPTF8XwKi/K+9MpdhKnY/uod9jrT8UcA02bxozTwH5Phg+v/30N1Y9yPMbVGry/M5jrjvfCEx4q9mtgoXx6fq+5tGgn4OTRevrzFqDe6uUPAJeAo8yuVWqEK1HH5k063koAPDmYfdkPjxP5FsF82nVSwoYQ93/Nf0FqwGat90/5XWqzDlL7lJPydGZsxHQ9kN7x21tfxtySHsOSTY8e/jSFku2YagTGcgnlfygB2AuuT2az+4D0+Sc7HSwPUs9XZOs1sMgFqAe1f++g3O2fd+Eg9IdB4hOGwpu41CPnba2FzkAWGdKzLtmbfhidre1ELApkI3O7aRPyWXDqg5E3/RjseK93J/RSdLXIPG1gFyZ2mqsCKRqjjOz84D4Bsxxu339ABYDAMsc92Kom/0iJvZNniXMxJ+ZvcTuq93v92CkcdCu6FuabmdkPmNfHStYGUbtZBfdB5b9mCgnYxpabyfsaIlovSVyYkKe82LkxMs9AZePiUcsmUQigUQCiQQSCSQSOHESAC5654JOGaKDeoE9yDQBa2x7UyRtJ/pJ3f3rAuYOfdcVUYFCKaQ1PmKXpAh7fkVdpyNdC1BAAOY0lEZbAHoaDO00OLd4vkXsDeel0PNfuA2OVXexHx2I6fFTroxHF71PXaZIAT5SUVL6GUgiSCdA0MNUDjs6kiJ6pPGCtYdjSEgnsWjUNOvze8P+0pUGk9FzIPO1SrNAzsVAFYzWozXLYapeh8kFz1UBoVX2Fam1YXMelEbLCQAa/n9dWQdhXQAZMWUClrqnipSqbdSv2jxckeIrADqPqaeK5h4xq5LpqvSgDfJRiZ67bIr5Ow0WrE3XHCyyQLFwivA6PAZQYr0CkDr2Zzh8lr0f2miuApQzjLN1bafPY/fIHMxeq0fRVYTXydkmLCIgCua1FdavCGCcmC7a2k7MSmFaxTDmsp0As1nbI+CNzDo4t26w3cG4wN3e0VnrImTt/jFYUVi+dbCEmtduru0+MONAb3gcIAcYFtgswIaqCKTPA153DE/j14vpaggs+7sK9qStq6hBbkna67e5AXZTTKvmoH2BDI2t9W2CYW4DMOu+bGZ/F212DsOKInddm2WdwwSFioClwKaAqsyCt++fswdyBF3iFghYXlio2PmtDbt3rIX6aduaOo1ZpAgMdpbPeaiheS0tD46wHr1LAeic7CK2OLrfJ3vsJeP5g73kzAk70E+jFdZSGWxKmMlGLOYJG5COE3B5IqWb9J1IIJFAIoFEAokEHkMSUDAQ5cOTYpmuo2COBoq6uAXSpfMtBV3gQMp2AA7E1qi+QIMUfOU8bNE56oiZ0TkBtgBIBMBCefv4b2mJHcd2l9ZZ6SjsaHkbhxKLXyu1XHKO6btiiX79sOVIoDJqHEgqOgokFwfZ0fqbp8D+T/flSGuQ+abmV4F1030VuJFZZLmMeSQggdNBoY4YOwGPDhRUbWc7ZGasCK0tDkY68Tc8SNAbPScCLXoOHmlpoW0WgFkEXMqEU+aY6u3ZuWd6lzxV/k8HAglao3w05zEvFgspNlWso/JBeqqSsN4YZsJBG984e9OKll0gSXwr5qtiEiWHhwBQAlUzRIfNtRBtFpnsAWBqLhpLMpOsZvDv9DcidCdmW+0VpdfTuMBy9gH4Jmam6KsB6OwAICo9igBdykGafF57Mf3duqY7YJIQaWZNpz2EyerE3mk3Cz59bXgtmLJHzz04JRPjMmsOgixpvCdtGXJmdTttFQ1WfbYVMD1uA4iynof2Tvm4Gvu0dV0A2gCsqlsBV8lb93XLmi5nV/dhpqt5q/6a/nZb1YtvM7LZwnzufGjaejLjmCcP2tntTbuYlEa6PzJtnkHmrTUY0VjpS/fYf+7O2U8A4vp7oVKH6IxedgVnTt63/q4JYJ/ycpKnoBc0DiphwudgMHV/lb5E9/hElARcngipJn0mEkgkkEggkUAigceoBDIATBXpFUO9BVfgBQwcRAoksi+lQxghAApxBeQka0Wuuh4qyIVZaGoLB4fWi5+JFCkxO2oSX1VUz7s6yv7UyeGqaqxoPK9HRU4dXTmGNR2uw2goASWZPGvNYuwEjAIgKWCWIq1HxdIEbRFyUtAXJWXvxFxR/ng5ot2K4XWAF3XIgDnOeWGjNemTA4AK1NVQ3HN6cB5h0fOmNApSfuV/SUyfgGXU/CEzBYYDU1YByYCZFKAS+FOJP7fqR1BUoFnMWxtAUmsRiNR9o0siApOuhaA/FQLgqJ8IeIxNlwFsgYosUDjQg+kwCxWjKLPX8WkC4shPloA68vXs7WghSI7MhGcxXy04Y6j0KCp7RuRTaQTbyS/+1piDTG2DJyiYz8LvTmCPS/I35hWAz1UmrTv2zwB65zGJDcykNZ8+0uIU8LfdCZtZ5t5uXIXfK8BSpQPwv26gzR4ErGouGzGFjQNLsbt7Rmb8vq0bbOO5qAF8p/jdZ3yeYizls6t7cmAmY1/a3WHtmPpunB21s8d2WSd5cx+clPmzfFIDNljgfnkRlqvRx0KJ7S6c+79s51SJQO+52gH3vJ8gkJYCG/FSI/o9H8d7kIDL4yjMpKtEAokEEgkkEkgk8FiVwEi9wzanx1EWpVoHyrUUaDE3Ry5B/SPXOfFXH+0spCR7H0IVlCX9LTmI1rLiyfDikdVD6WsRuNRwgrMCOvGi3peeCa76Ob7CacabHHa/BnBU4COZe9bYCowIOI0QEMZNmYGYZL7EPxKomSZ0jUyjyW1Z4N9ge4uHRnKoA5pL46OXkiPrMRQxYErXEYGzY2i6UFVAuCKQ6GIHyGHKKlnIHFdrUlAdgUh/OUAdgTGBYeXuFHgUAydmKlCWJcAAmE7MBKBxHr+zGv6d6sNBdyhgB7SATgUXEhCV3OQresb6bjdv1X0TYBQYG5ko2RhBbjSHHHUU2EdAuDRftdUAL/lJThIsqY2+ZGKqIhPZ/QfnPbCQQKvyjMoHVcBe9gKrYAcFmGWeKquAoZ52D6Szh+O1ocms+pXfsqLYKliSiuq1ExxKjKWeNYFHmc5GReB8ZLLkc1k/pLqL1zSegKUY4g1cmycQ1C337fMXD2v6ut0cd0iMJf0+hMnrTROgkCH8dPF5LvXNW36UqLPkN8RdM7hd4bdktLys7W7YTwiko6c9x98emdNiDYz/N+a72YgiD1qViIx73ywvKlThBBXJSreezakrGlsiOQVFLGaeF0g13CDK3ENFUz7ewX4ScHkKbmwyZCKBRAKJBBIJJBI42RLYW+u2zdlxV9ilWEnBChifYwMSJ3feTHLBrPTRaWNSlFUWrOIO6e6QE0dY6kp1Y9oqQDYaT3LWxwUf9uitdV6nY83iA0b3KH5OoEZ5OMUU6VNx4MU2xroJYJWJDtzIw/KliQabA4xkAViASs97oVFR7DPFdmsUiYbLMeSTl2bLI3OEk4msQJXm93BFNbQG5YyUSav8IiuwkEqRoeiywTPZhB0knUbYn2Qh08sOTD0VvVWAUqBQQEHgTqCwgrKsyLBiaNVMQDcAok2AUGBGKuApM9/2AsGt6EPRWWUirH0BRQHaA7CTYiOja0WCLak/rU/9qE+NPdjXbnP4W7rfJWbBPYAxjekAPxuw4wLd8qmUL+VeAuQIwIpdVFRarUEBkQT0BAQ1D/lAytcyD3AVoJSfo4C1QGdvZ6vtOHDQ56Jna1VfF0BYLFQVcJ3z/qIXGpKpwKmeEYFcAUvJUCXOWOqanpcHHhpjHkHeU/mNCkxrjD1TGfvuVN6q3TzPvJ7ozD1krQr61Bwg9UkexpY8qshUvqnKS6p7p/sbf6S3dpFaph6yrVxFdB5gK80z2BG+6PKJ8TWNWfa+aXxuoxMnYCs56LmKZHUChjiqLiWnU1k8RyV/+kukZ5EvZmtBf4vid+6Rzy4Bl49cdknLRAKJBBIJJBJIJPC4kcAcPpYq0h9SRH2Uihco8n7av5YrhotXTuXe8VHDBAikMDtgWehyYee4LjCQcdilhhA6iavcHEZn/BJHOg6+go3YtcCMVRFNxeoFPoCKpCoVXopgswXgkwHw5Kvsk4ojow/n0ocySOrei+4/O80WsYCB+SXegOHFR7YRc6h1CFhFvpBaj/YFZgQ8BKLKABiZz2qr84GSrzEFFJdIyEHLKgIEBUBSfckslhyUfBSsJgIz3tqnv9iHZCPQ047pqsaRKexqBebx1CeBH6faRSVSqttJj5JKzTtbKtnIJHaaqK4yO5WfpNan50gAsRPz09EDkyG4LFrLgcB09vT1nc5UKnXIhlVdzpKWAL4CVTI9nWftOYICDfYQdZa57R6ZtQLyk8+jTExVegBuCtizfZ/YTALtkO6kQlvJKCrKw5nHkW4LfpT7RouMOUuakgC47qHPEpF9t+DH2cGaoiLwGzGWArJa7z07R4kUG5ju9pCSZ/Nq8lLyIuLrM7fajr2XOWOZ5onrye2wgep+ax1fjS9mh6crieSm4EQqyq24vGjd/Tyb8QIGdXnEz2m/K8+c+2o2UjxxL7w0H3BtUiQBhCHfS+X/nCNYVQGAifttGETrkYsoAZePXHZJy0QCiQQSCSQSSCTw+JFAqJm6coWCpSIfuXgJT8dPPWH2BSylDC+abi5d+9EuVCDHW7KjrR/7uYAx00mB9ojFk7nqHOyXmDGdczYN5VppRqSLaz4CWX4r1Cfnqs0qPnek6BCMRBNOwfDUMxVrFlDSUfybHAdAUko7DVYocSASXGb9C/XYFxDlnwCTAcSOtfg8AUeK7CrmULNQXsZJ+vIclyxOAXH0EfumNXoR8MUst5W8CAo8pOdRW8TjwE3P5DQsoTqcRm7VGUxBAUpiJFUcONLIWcgcZrzsB2lPCMwDEBNAU4AaMYAKtDM8PkdwnQpAKhemmlm8f94hX5qZJKD60TMiMKx7JhZwmpyXmr76VeRX+SLqvrXhR2njswDMirOup23owQ9SrB8M3MEiQG4aMAkrhEPrBtKFjE4UbS8sX3NAgbUyNK04sJRsBPAUPEeyUI7JkQn8PgHDKgdYQyepWfQMq2heqrcWn0r35WRf4+0FVKovAcsNq5aawjqbyfXIFFYM5cjkLL6c4/5MyhT4fEWdJQLsTeMjtmPkMgeWmVQFYPmQDVUPWGFila3t6XIZRMBS85Evq4o/S5Ew/YyeZbMd5aVwYxzw2JZr2PkdAaMcVj05G0TI43jqI5oGt/LkrPlhRpFZLClUCejFb5ZbqeA/GUzOH2lZercfaS9Ju0QCiQQSCSQSSCSQSOBxIQH5XCpqrIqU/v9bivRyAZkI40gJ176wVbQfbAOgp/34tWhf4EcA0f325OsI5mnyVW8AsHyf6xyLWVIpNyu2f36UtC95QIz+iXfkH/egKQaZj/ap4CDSgST5SP26zAbDOqJb9C8o2saVv6XHAQaJXw+b+YbzkgNskkxl65lWUhQuslvxmtG+QIM+As1FQJdKkfXtIIVFLgcAhGUT2BqdwBxXQlXR8CGTKmbVnE1lBXr+MHXO4+/ZJMWJ5CjZCTyqD42jLTMElBM4B5BYwOxWOUgdMOKPJ0ZR4EwgS2lXFGVW7OQC4InmQC9iVQMTW6aEYFxSuh7uU2VBkupDHzHG49Pz4T73guoCUAp8MwTj6G2oJ7ApWetZ6YIF7O0IzIqVakQmtDJ71Rw3DHZ7+hEF1NlH0J+9MI1ar6Lrrl3d4ek/9mOOq+dHAXn24aMp8Cyz1RKRaVV/Br9OjaMiM16xp92Mo/G1jcCj5CfGsgsTYl1TEdsrM1kBy434WMqkdQbZ3vHgATeH1ZrP2TBo7d1pu/ngmO2YOZt0I8gCYNmX22YDlYMBsOzqdt/SBTkH3bu/q3ZlThwvY5gLjxHo6ObaoM2SqmZJIYDvKHkxV/GMnNd28kCmXkZIzqe8BLfylE8jmoD8l/lJwaZjISAfWb0UAXSmHsGLp2V3Ohoi2SYSSCSQSCCRQCKBRAJPRAnI1wn9yosU0VDPftRLjXSlsOtH3d/RdqD56+OgBK1RwETYJNgGQEVBbXROdSZhi2ZR1BWN0+ugaCpYivpYKOF+Dae2KmaMUuprDbSusA9VVv1FJTWEffE+ws4EEktt05bOBRf9e+GLnQgBLB/8iIJcfnHxONhbPA66XRw7ui5gK/azKg84QFJUJCMxjwHrGJi1yjfS/enoRvJTEVs5PQe7Vqetd4oMMNOttc0GoJJzKYSUqgNcq7BupTb2w3HoB29C7ycCTAI48jXsAoAVMaOVCew6gJD8/8TS+RDqU/8WD7yPQ74imTK+gJjAkO61gyKJwtuHrXQjVagj4CHAGIBLIsgCMiWPqGgeqqOiZ2gGhtWfA76Ufie6ppc2YqvFPApwjQFUWwGSmovyYU7OTvE8wS6yPvlDBnknA99Fm1BuzJydhpmsovZG17btnfT7orF7OgrOWEbLlNm0AHRWa2XOU9yjLlhVjaf571VUWIClTG9lJitg+2PMYaeIdquyHlZ1y9pe+/bM3bZ98unW7CGlDC9BImCZHx2yNX2dMKXtC2v0huFXNmS5NJZeLkgWUZnGL/WMwXm7vRkEOIrOa3t/OWvb4BBvm87Zzw8WrZUXLAzrZqsLrtbxBsdhvwXkU4VOxQD6OPT2CLtg6Oixe4Q9nJBm+n0EKUuQET9zpS3BOIDfJYD8GMSVgMsTcnuSThMJJBJIJJBIIJHAY08C880sOSoXTSkbMt9EIRRLclwKuuGiKh706LArdj5QqoITUd3onHyxpJxqTh7lVNXCY4FB1fNjtlG9RlPGowG7pHMOVsQERoWlSddVAnVoMyuhiDdTMCUAqwZ+h2LUnEEUSxhqtoqoWAMjlSYy1qwepWw0pqqG1V2/Zr9wJv5sbBdmpJ2wTjDFhSvBYfQdnV5Sd1lT6kbVombBNhpk5asuSLWFuRSIUwoJmYFOk99RwEpBciLQ50qlnhnNAxk1CRKkIiBZ7yKXY3uJewXrIfDYgE0st1qqirloA9DK8C57vmTSCTbz+yCQJuDTCgupYDUyZ5VZpoLoyKRUpqx7xPrRRsFvljNlPoH4V7TMZbLS4Lrvai+ALGDFLtPSl38HEwz70pzaWwkoQ5AcRdxVEWAc6GrFVFURVmeDCLUglId2T9okwElFz6v2q9UeB3gC3TJNVQRXyVImq/KJHMCHdA+BfSJzVzGSyicrprMTQNmSoQ+ezw7Yywioar6KPpuFVorkUCxhIq35a12AfKUpEeg+Y123H+85MGf7CU6kiK8KUuSmsMxFprAqYlM1ZxX5oa5enbdvz95FTsxnWXMIk1t+Hz0wlv0NfCwn19hagKUCE0Vmud4w9qX+VMCs/lIiw71U6QTg5rJFmyT3RTrXYQ0tZlkhdrHNAU6vmeiw88qkxmn3GxQ8b8vqHo9Dz7fJ0rX+SMbHo99j60NyiB7aY2t5Mmrr718LP+EOHpciwX5qPJP50HQ2egaPNI8EXB5JOsm1RAKJBBIJJBJIJPAEksADlUE7N7t/QUl09g4lFbV1xVVyyVUgKbK+H205u+RYylp0jW0E/AQW1TZ+TSqV2kZFSh5GkQA8BaqhAQVowz/2I5DowI1GbKWfKlNGUyxYtcVqnTNBPa55t9p6ffUUtPF+OJeZw6dtFgZFwIdjqcQaMQ3obACWEAzgCdYOU77yCGasApaqJ51c5pwOrgQ4GAOWxfEqwDxFG1daJUbVi7aBzs3JsMTWHZ1a2KrNIdc54ec0j6CmDsNdP7G8WdRFYAAatFn8DluGjQQuZ4qVwOQSZODSF5BUqhLWHQBLeqRecMw5yUkFGaaLyLMWyjM4a7kmIAnGTYBDwFApQpTuRiatMl/VNZmY6trKyn3T2Tw9IwK6KgHQFUgMBwnOHiovXzyVYvUCRhHzZAIJRSVcfnS4sNX5AEAt1hD46utuhU2sAxLnPMiO2M0ifphiJbVOAciZ2ZIDdPRwT1nSi2beCZjVXPT87x8r4vs56SB6E6awWowAp4CngOwYuTPF3PZ2ZjzdiWYgcCjQv5PIsQKhAqBj0zUYxzLpSvDDbGv1qLKSj4BsAXZUn+Zg0/vdVpwGRAUgVwA2KupbYF5FjPxtBB8aNRhLgGU2Vbbe/APWZ/utbWKtDRY6CeADY7lU+N42+hLrrKJ1xk3t5f/aja/oBKxqnmdoPswdGrVbvr0njymvyNTlv5vlFR/Fsb9HY7pudXACxznSFCWtlX+fR2p1Cq5xX9sA+0pboqA/+ht3NP6YCbg8BfcqGTKRQCKBRAKJBBIJnAoJzNRR3tAxBZJUxDRIeZUZ5CIgDJjDyGzUGUPqCQQ6yAwnHij8wYFAgnTPKrkUBQwjP0I3vZTPIOcExgRQAh/CYA4Cgel5cggWu2y8nSiV3jYcQG3UKXUG2u5lu3he+w5s6gVrFAL2KLoa3warXDxTbw/qpsWuOTjN4uoIMwZQyshMVHJhW0Jxx1XSS5bolbkBgC/z8Cnoy9fBxrecCI8XR1phb/lkvLNl9aJzC3VjJ2LntBvp+n46uhZV5/ryU2K2FmTIxbTYxUrOzYNTIYvlVUCUTYHv2Bge/oQ26iNVoR0lA0uZTxXwNSzAOMrsFFNXgKqAkwCZ8IYAiZhDAbxovmobPTuaY2zKuuRFIEssp8Cl6gZsiZ4/rXulFlFLbamkjsOi6gK4yl+5tKifWEWOxogIq+A/GlPPtJhMRbZ9iFySWo9SqAS+tswF5zRFex3q77SRMfwZ8bGsYEZ9EBNYFZm/RuBZoFA5Mkswc6eTPzMNIJUPqdhA+ULKN1Nr3ry6K/Arhe3bD+gUozxHfs4W5q9rDQI9jc8UHTAqTUmXfBVZoCK/ClRGRX6mGnsWECrzWEWjXQ4OI3BZJbfkXGOdNfv4LcjHMn+fdaeHLXtwwDpTXaQ8afeXAVHfK22jgD6Sm8ypkfhCtW78O7vn5kg7QqTcowij01xcxkIfx3NHf1MUvEbTzJzgsY7nvE9lX0pbIlmRJtZKyo3J38k86XwQ5YolEeuKYklOJhJIJJBIIJFAIoEnngQEj9Io1C0hUBLzIrM5ZwlZbgqNXixEAzNHICc5EgGLYrEUjAWFwhlBATB9aCWAlp7phM0qWw0TSQeOEluodMRV95X0EF3PyKSy3GE17LCWm80xE+trvS8YX/16AagACNMChwJ1AofRpXDr81wGHHRJ66y1Y++qjwoN3ZQTgJuZgU1yoAmPKz9BoHKqBZ+jPgz3WmGoOOPrWVhUtKPt8hlwKl6iqtG5h6m+pLvlbcM+BLQWSzgHgKH+uZlvVI+tzi0U6mRYb3qq20H1wnnVo5sUtLC2XsJuBUzSmC62sI1ATAcmlmdv7Lbe7i6vOoNJrYLOyHxT+R0frvj8oY9kFikoK+CmFx3KtyhQJWGXoQGr+C8qGmxUHJgyj8Uz0ZWVt1KAxZp6n0uqRItkKCYjc9V9gDwVrXcDUWHlcylfRrF+PcrpSD/T+DPuJyjPpAL+APpO2zzgvqdlTGm3753iGc7YaaQHieSk/hx4gmYUaXYbdfq68vgvdjhQ1hq1WKUeUVAe5btcDaCT/6LMcJXD8rQ13TBGafc/3TGccX/Xg1OzyKXFAgO2XgAAQABJREFUzt7U536ZGkdFa9nPWgTMBV5Hxot2ANZ0Hf6SYo1VxFGPYsHASoNnmudc6Yn68/dbV8sey433Wa7YbWs3tDE+TKga0W+w1UFQFNwqMKsO0qTono5NlvA3DfKBCojLH9QI2MSC+LFHLU/tVn6X85h7ytTzVBWX5aka/BGMq5c6LfxZFNAsAzBnputWaFNEZv29WdphAi6XyiM5SiSQSCCRQCKBRAJPaAlI2dabZ2nnDRTKOkCrmScwiYNHFEBUyOxEnzUAlrWu6cPKol5tBX7BiGAV2YapaUZBctoD5VyNFvWNw6tRqqOgMmQjtNYaSeqzQbTNoH2DpO17MaeDbWyQiZHIkimAqNUBkx4gBgYNrSY32avqS4rMPeutJWtkAcgCxirLp0FXPkfVZd7NLOlCBJQ5me1CKR6liaKZllCq2sLm3sfyjoLuT9i3Jrlce4sP5ovgizotc+2WKbZbeWhEjeK1gn3qiClOT3U5sFS3ghsy7dRHZqtivaQwSpkU+xWwj6rHOY6Lk4F5pa5FjJU6F3DhlAOkTtHjKqANMeICSv4BbIgBV85GgT0PHMQ5DwTDebGf6ldgUB+xjQokJBNa3Sz+C4pQjB7koyhah1i6uXkxaocWjS3/RDGFKhpXQGyot+BmsPLT3LK2a4H5U37NmZl5ogFXbNVApw1gMtrbVbD9IxWbIBXLGVsHMW1dfI4FGMVa9gJOBSjV//B4iXXOERSo5us9DV9JsaZ7SFOyDpNWyXVqrurzFlgcnynhr1lwM1gFBlIwJX0USXaKoEKtMKySm8CwTG0F8hXZto95FDBJ9uiz+LGuZq4NGMSf1O+3ydCXWOaZLc1562m9y3pSByx3YLVledmzuq/gcxUbLfZWAYrKWDjoqYqsGCQ7gWJtozJO6hiL3t34PdN9Ioci0WnTWSwNjvK+Rf2diK1kpWdT4Pe4+Zsfy0SP7tE9lh5Pat18K79R/KUFMmUymw2ZzciqIAGXJ/V2JIMlEkgkkEggkUAigVMvgRZnHsN5CFzlZAMaKIipGkCuDlvRcnhzU7VU7ZnKeqtjGlnBjK9XymMOxgJAF+lOgVoZfKvNigUfPqXF6CnjV0ZwnmomMKnLWsk6ymVAa6eDSZmuqiexq2JSU61CIotKbdR3pUHwEJjHzHQnyizmrG2kx8ii8C7QcVHN+BZgA5hOEcwlM0fgkv55S00gA0wGqzMZa+nD/JChSrA55XQvZnUV68zujXcQCCRaePyKTzGaJxVWqhOvv9J+2OaQpjCt5BKxdA3gjf+pgGW9rehLjePRkHNijoBFAKjYWpVmHtmw31focnZOrLUr3ivMQXjuSEWmmy3yRcQ8dKbY4uaRMpEUIJG/o5hJ9dHAt7ZkRathginzxPX5VW4SKgDpIJc5SOE/MEYaC4CKTE9x5HT5+hQAJ5LD0TKYqqu5CaQuBRPw4jCnB0mXMQrbpv4E6pTDctDTjWgeyk0asKjx+5YHgHd3A0ABl2ozANO4f2SKdWJWin9mXIYT0yXGbrqZrOTXDxCVTIZhE4XJlDakhxQmAvViKmUiq/MCoVvXdiPLsu2jruanOq04vU1jfq6Ir9Va1VlKrVGM5yRAcxpQKoZUaVGk7AtgSu7y+VTp6c/a7NSgTZRhPA2rAC52ZHZZT71sual+nn9+b9wDMbaTs1XkHwB8AUjhQpc+W+EzBV+Sia9+kgEzLKCRdlCssbnkbWZhtbfyAquaBfzyrD4WSo4IqPIjLLRJeie/+LN88oc9biPqGW8lK49MZRWECotwy/G+T7/dBFweNzEnHSUSSCSQSCCRQCKBx4cEpAx6AZy4MlnNOQir52BUACvOEAL4jlRasrApLffZgfmLCNSRt/Zam+VRhBvdobMijQMF6shqlDOLLVXLVcrWBzBpCjBRZKaXSudgFOvWgiKYAoSmUE4VbEb/5ptx8Ls4hvaURzHNmgQUWyZ6rCEWE9AlwKVrXrSNmrHmTDkf+BMyrvwR0+0wsVMZa8yhDFP34NiZsKHtzI+69dKh4FKden9Rp8Ewx+s7mLXWBfgG/AtMao1icX1cpRXpmXRwvxKQdrmoYsjk1jqmYWyLlp0OzFoFZg5XBE6WF4Ed5bqsNEoOLGTOWuEzwj08OAXAZ8JZAri0AjZK2RmbbD3ISwRePugDwATO0yUpOxDvUMsWr+9jhOBREVNHYAIV7EYmuOFdo4nMswOA6fs0ihiT5XOMjuX3117ILQF96nBYUVwxG3UAS2XJoIe6Upy1ZIFSbfURKygApfnkclnrwJexo7MAmIN1p28B0Tp14r6Nks8Bcn+uggVUyhGVyJRUoFR1xTwqqqqOeztz7t8pILwR39U6wDYHK9TXmbW9mLoqym6rckNQJP8SDPDGzrztApTSlfeh3JjKcRkBXMmmn2i3KtvxHbVUG+Pg/YgZrzeinx5MwgvlAbcK0JoVsCgHWFXQmw7kIcCoFw+ppl7c4FPKoyLgqLRGemyE/7ePilGlPusU0xuBUIHSXcPTrAP/0Z1mG7trViSf5kEsEE5lkVyLc+QaBSBFfxJO1nz0LK/wXuxkDX/cxtGzJVNZ98fkfxfzczDBmFgn4PK4iTjpKJFAIoFEAokEEgk8tiVQwulpd63HetKh3RrTbRAdtFlDeZzsJncA7CCalkxkG5kwKugRlpQiZcHqtltteO5im86Rk1BmfjAUjVYFNVkBkazQl4M9sYrydwTYWQall+A/9QIMDqDQ02WoXdRdtPW+lhyEvQfzb+YrgMEJACb+lIpqOo4W6UWqXVTE6QV9NGFda51E18wzpkx1YXDrU/ikYT5YBwE1CIbUFNVGqTdbbXj2EuvO7cCEdA6ZkS1S8/ZC/Rp1pbECBhRJNkMEzvBSsD3ab/rIhAByAVTK15QpN+ULC0tcg300FPdGS8wEmP6BLtaWxgySf8VGYK6sKYnFTRHQSC8R6rDWSski4BQv4A0HL2LQBGL0CXJfNhxMqe4M93obYKVQqDmokZ+lUmwIfG1S5FJ89WSu6aiQHIe3VUdt0ucBA8Zwugu5dN5GUweto9luXWWYZuQrQKrSDrjs784DMEvOynXj97i3jpl0qtVa+XgHXpNd3UIU3QIsOvxteHZxIxC33G9TkV/34DuptXLZgZvY1dHJogNFAbx5gumIib13x4QzhTJFFeDScJKHQJ3KPIFzFDE2ByjbMUxaEPqrkvpkcrYIAKzbbGnetg9PULMJQMXEFNCptCuS6zyA9d5dIw7WlFYkMDk1231w3Otrfqt6O2BTu2wGVlL7RfpT4KApItTuH59B/gLf8pWWvyWpP/gNKgBQHGAqX6jGEzO6Kj1IXsm8fXU70ZahnGZma9a/Km+d3VkYy5Kt6SJibPvSZ0LrPFxRrCSBTZUqcxBQjorus0ymJc8rLpizvxqDJZ9t2P/oK9qNswoG1bTpMIBU1OZkbPVbyPLSSmadGbZJeeQScJDJz7azM4WpdgIuH7kkk5aJBBIJJBJIJJBI4HEmAQGeMuEYI1VKSnkK09H5tknMT2EeYfp0TeBKn4UibXql4h01rTU9YeWWHhjMHP6XsHtZGMgFsLVSQ86hUDq7WMJ8Dz9AH5N29Y4ZTwsiUOlavLTrhRkv7ytcyZIN7B7megIgAlhGnB5rBXhh4qoisEWcT98Xe4ZRcMBcMN/FFCaMWIA5FSkIZqyNAVk6lColKJnULli4vE3X19MvPor1Kcu1Bv6pLuNirwPMBgxXd9sOa8viwMkaZNqrwXxtjojCDlfYeARbQLF8JJ3mAOw3WmFfYZQbYh91jySjFQqvCrgnAVsl0JFJAZSbWjNAERANsoTxlM8qAAdGuEoOR4ElsUxubsm+QJHMSAVIVLQRaCoq2A5FYFIgsrtLEU6DfJSTgKyH9k6HppECwTQK/nNAM9mY4o4wI0B3iws36Pv+2oO2prHK1qXWwX4GzLcU1kHAZak8TyqLEiktcrYus85uqd1uM03SzywvzO0pLRfx4kRRhw9fBJgnMbcdhrHU9Ny8D59MgR8xmJME7JGPpjN4sHgy8+vvgVlkzpKN2EuZtIoJbcOMWjIaIY+jSgvBjATwpufmbd/45MIkdLy8zCnlxgpFMhYYDtJ7BAD0wETgR9nf2U40W8YK2X0118uRAUxxFXRI7LEAruasFwat3KN4GSTPptYvH1CZHBeoOwO4rGHbuGFVu3USPMgZWnyNMQKPNz3ivmq7Hzf3VjKMnhU10noENucB27rbemc1TaTRf+fvTT+y7Me8fYaXW7ElqdlJKQroUwEMFU4BuIz+lpyUhZ6kQQTYJdOEuTxJAk+GSSSQSCCRQCKBRAKnXgLyMwNyLRILDvJkDiizxXbYr/a5PjRCqYH6HK7oGpqEV2lad+sumyxnbCLXZW1l0jbMt2JyCQgRRbWk0AbGLI0JahpQ6Wwc/YjprOMbuQBqQ1CyOIdwvCV9cUB3KuHG9wvpNj8WsFxYAYCsnIFRhXaSMu5+dF479kUn8X5EUmZQfGvVjNVmiYC6ahxWRhE+S+QC3AbQBEgY/osA2Ua6w2arp9FBKFhwm/EZSO8kUBHMJqyc+7ICRFXk39mEla2zXanI5zU7CyquZK3RMRfUkx1deF9CsSOemFxik8/IF07AmqL1NkW3hUXRfwVKU7CrafUPSC3VKgR9CaQtUCMwoG0r7KNyFQqsCPCorz0wbip6ZjoxV20HYEVFkWIF1sTOddBWxadIuzmCxgQnBEQwveZfENU3EPyOxk78d+u2ObPJqwlc6lVAqwKHxEj0M1tOBygvrifoNPhuT+lNwpHLBMFxdpP+Q2BSa1wzgJkofpBjMJYCXfK57MWMVNfEMJZhJ2UqWwBwqkzjPyhg2kX+RkVjFfjWTDHa9pQfSjUyMYPHcBX/R4LhBPLnmROqO5pCNa1OfUr2elFSqlYIIFS2CU6u7e/BZHVRfVfAoY2rCKjFfFUCufnuil+DIYO5m+BBfZ1trBG/VmRxcHLOutfmrQ1AOk0k1d5Uj+WbiwB5xc6ikwwdDu996SWFwHlQxBqnbVbL57MeILtT4VopY4WMjVd4fqKqfvbkfYGtedmGvJlvxPKevNGfuCMtPp1P3DUmK0skkEggkUAigUQCiQSQgPQ7iBYUKe0FRcyLInp25VttOoXPHoxd1+wqfBABiJiIeqOo8mG2hL2x3tb7bbR5gU3UB6xv/iCAEQAFWI00xzT5EQU6BSqdvaPvWhfjYb66kDpjiZK5OMclw8bqxHadqcyIDaMI0AhGFhuYPfoC4jWX9ObMSnBGcCcoGjnVAvjoIpgJAX1E+qUVbRTAmE/f6ZUUfMiQl1qlbBLTvz1WbjyNsdv9eltz2jqIrJpq4vMJO2h8ZOarmaVLAGACp2TaZq3STQoXL8F60wDQlmnShOBTWZMPpe5BrHitxS+u+GxjNTBNhG6Fe3PGMjKJjSrIn1apXCpDww7mU5jdisEVGOyA/coBHgUk4yUAiMEZj9wavxjuC2S1EZlUuSE9P6XOhw131XfZ3toel28aFpUQSX5fBITEHaue9jEiXQKONAtZWFbEek0EuSYDXpIrsMLNdsL4xsuyeccvaV/Be5SzMgJ6Xfgrrh8k3DGlhEkvRqpuwqk1qAiwNQEeCsgTFbGBOa63stYA0JEPkwiueVg/+Sm2sd+W78KvsQ1z2nEixLZZByynIuTqs3P/jKc0kVmsWEKtbR7/RwXu0ShiRzWmfpMlAiGpOGBkbbPzAMyZGRvq6SDIj1/yNnEz1ODs4b8FopTqRJF5d+ILKf/KMnPYdWCS4EK9sLT4kRanMfmt2iYCMcdw7GE71X0K/qYEgZNqdC4WV0W3RC8iIplfPFSxnVOL8ENs16krvDTBBF+ZUpa8cDvBEwpfQZ3gUU5d94t399TNIRk5kUAigUQCiQQSCSQSOGkSQKFylTQYUEBDzFWBqAzd+E2i+1utgncmJpkNmbdG5qlL5reCRohmPFi406ZSp2Mah+I9R3siMabKYsgIlgNjKWZSZq91TDMD4BnrNN6l9lfSOuN1VIWPQFQAIDFbBAXON4JAPxEcWNZkYcAAhwgYqoS1tKFhwNGxJYBQCuVTKUlqijwjS9JmN6AClhUWUean3lKDaSeknFpgN7vq+NjBOlUG8J3DFjAC0F4VljZdIQgMJq+5g4Nu7lovEEwJP8+MGEv6qvVOOMNJrxQfhW20qvi52GWdDgvGs1YCXMdLSsBV/cOM5kk5Ue0dZwxeALCWrADTMjPKeNtoP2LIdCzsGJnN6tiBBP0o92ETgCFQNM0cHqrt0GUqYz5LkCZfB2OK9dW+zGQHMgN2TsvZvtL4KsUuCaxW6K815sun7g4pTGgh2E/sojNzAMvdB/DjBbg5WGPcQsjCqmqWtWs9EQjSOUVN1VwUMZUaOuWMXAvMq17KRKWQl79wwFxG5wQOVQRUOwmwA0zz47ki6wCAriXdSQTi5Xd597aDHvhH5q0z8yU3zx2fIl0JKU/mYYKjeY1OFUlTssh4R+e982P4Wt0L8864U8UAXI6RXuWObcN2/pZVBBPq9OA/w9MFW9MNU89v4OFKRFRqPi6bQFzezOVIF3pWZsp6ueGPwsN1ecKv60+MnmdnWhd+Yyd82Cf8AAm4fMLf4mSBiQQSCSQSSCSQSGCpBKTTp/HbqytnJOCykJF/Xmh7CJicKYzBXg45y1gvCKzFlMsI5yzt0qsIQPbaPpTIfm+bAkDJN9DNQAGUihS6Ilg9XJ8rjLGgA4ZTklJfg6mbd5/CpQ2WdBs7CHZDYClEFJWwz2i1acxiU6TBaM4DMjAVTJHTr9I8w7INgspkdzuaEkOaQmkWmPBgSHSH9xvRbxWUSD6SCvQT9RgMJBnUMQUWsBObm5kHaMAUy/GsqSA9yrtJu8WZLW0fuxB0rcuLlX2QCpE9g8I6STciE1i9MEiVC67c1zphTMWoKjouAE7pMVYqIUZauBQHl4esi1qKDlssw/gCMrIgjt115KTCHANgyS5zla9rAOIb+FKusfXNdUE9vuNLESsnNq+Wlsq68hwXGmqHCbs4wvsqoLOP3I+K2ioQIRZN/psTRGnVHKMiBk/jxsEyuMNBo5i4qLg/JOuKgzqxdDofB5wRcIwN4V3oeVXwn2CSQa/CzJqX1tpN5Niutjy5NmFTy70E2Cnag/umPADQPP6o44BABRaKSgRio+OVtk3SjDTqBCrKifdl7rWi1SvjNkQMrzObfXb3zoOeM1PspcDwWRsGPOLrLsyHR2ZbCfDDy5D4TVk2iEQdZ/7islFVmfZqnmJq79gPU35oatplPZ68Qz37vFvz+x68dDjxY/t7s8VH78QPeJJHSMDlSRZ4MlwigUQCiQQSCSQSOKUScEVQ/mZiGFD8lFoD8AEc8GlJ51H+snKlaK0waw3SkywJ7sN1+S7O1iJzTXyqqu3WxidboSFBa5r4N4Iq0ZgJndM1BWYSBDuMNnUEpdUntPxrWTfVZhAAZrFa0GGILRZPs7fyUHQY/BfWXTxI55BTnhBA85iKkrA+TbqUeqHNKrYR2fXbQG6vje7d4JFim/iPNTEtVskoeBAapHJsBijCT/uX5hAtwUEm6UAaAO/sBL6uRHKtdc44AO/OLjX5nKrGU68s9hfsLc45vspMDca4JP9WMceofNxrZ40ArsqH6WlgOFHHfLmskJ/LynJgqZkvBZdLG2htMvecLtYAciyHR+Bg8yByF2OZx0wXGWk8/ul5ELhclV4FsFwPiFvaV3SkFB9aU2V5BYmYZTcAflUApICjGEoBN4FBAT195gC6M6QL0XV1oRyQ7ZiwTnFO7aKiyLYO/Kins5qOAKJAVZ08fvEi0KyxNL76FCgUuNIYUZGcZIKqevESMWVRTYFZnRNAXWzPVf4Tk9zdQRoTTKM3r+nwPJd3PDBse8eC4FHq14FqfIBl+01eutTKcqhlHjVAYr7fgaUmny2ssU08t4jI7tk+7HN9YO8YLwha7Iz1/ZgMd2A6SzTalk5b1b5CEKVwrEBWiwPrZUC8SIZap8D8eJvu52OnyJ9YZsjRvTxpM5PQnqAlAZdP0BubLCuRQCKBRAKJBBIJHE4C6FOLTAOAQ4AwXqRkpztJWTFBCo8SwU5yB6wnSxRYVcJnbw6gla8BJqttlquR6qOOvxpBc+pKHaJUJLBvmRlSSxCR1CObBi2DISKtOj7gcdkPtTU2wV54HB97yTgh3F0+n2XHaaVkUFwTApFk69M21LYNkAQQ53QD4JDFh6zehKEVSFdYFxTVjjLAGxkoEutKRTNbHIZ5ULeO/2UGX0yn9bieEWqJFQGdQ1iqxU7CmmIpATrFdmvBp1P7YkloCZBknDyMVRhIyBlktaKPOpFyK0SMFRBSLsXDlyiKKc0cLAT5H8VIlfAbFPtZxk9Q1+LslcxftRzNodTE/JcDSUtBY7baFuoeKqdZUp0IpFRIFSEQenCmik8moJH5MpxVCf7DVa+jekvHC4ChA04qS0wCqesBlvI3LGEOqmc8joE0P83LAV6INFRHJp2HAEQHlwFbrfukvgPQyDwYTGAqAoy1ZcBUYKYmX0pNKiwuD87H17Bwjc40D0UhbsMv9NzNg8ii6EGTVEe+mkcqjfkRxmI8igJZNUoc019LYTVrk/+r2Tkb+z3S7La9Bz3a6907Dnj6l3UD3bamv4A/Js9mqtP6C0GaFe9s2VeWe0u3DtL8fkiGwX9+Ts/EXAn5EE30sVZ0Twiai+/sSZxZ7P6fxFFPylAJuDwpYk4GSSSQSCCRQCKBRAKPLQkEqQOOMKfQdFOAp5DpwL8w5+ZjhqlrT6MPpRQQAiMpdq6WnV00eQ27bJJ7MVUk7Ql+hIFpKBdWUqh0biV9M35upXYax+sEFaPqYsn8gkCWzHI1xyhtx7LotVLYPc8m5qg+N9YsZi3WrWU7iRhKoCAxfu3VEZhegBAVBNrkR9mf3eb+pDI9RRAAxFZwJuwZpq1HKj5GWMGXl0e7hegMfFOXgq0S4CuLM2y5IRPblQrr0HoJzpMBVCoar89PZsgA3BrsM/Sy1QGxwULjo3NKMgJYCghlAtdAH0TzEqsjwKWPwI/8A1WUz3LX8CwsN8BSrC4AUkxbnuiug5h1ClypCFi2KBWK2ErlAwW8ZpD3AKbTp6dPg3lTnNWlReBvx3DRA+cI7KqNjwu4UqDRHGCuIEAHKHBgxlhiCb3vcNwpzF73kzJEa9A1MZZr+oNgS4pkqnOHMGw8BvLvZJmAqeCTpV48oI9mKqZSpr8CTHoYBKo0dhVz1SrmAHlMbHUsU9e4Sa3aOgilWfBqY3HlARvKWa4FYFJ9B3PXOqO59nS02nmbhuy2B/b59biJrJ9Y9pUGRFoVE2hYS4FL3Sexl6l0zCmSNhduHWKdddt5YMJlcNdDB5hr2lYRPEjrP0CEXEV67ipo3cEg2ug3JMBfxS9Zq9G5yRlFt+W544KemwrPleb5g2HGHAzaPpa+iQ1lc3NNT6NxsuYVivBkDXdSx0nA5UkVdzJYIoFEAokEEgkkEnhsSOBhwSVoSsBR7GPnzBAar8z3YIGUbxFfwirgUfkSFxiw5csC1LivH8F96vI7PJI2pWuLevbynoJry9uH9ePNXL1F01eKk/QsLKDApeZNJeXdVIAiR4kAMSbugMxBoY4pTcxSFeVWPqLBhOkxT/sCSnIRJZqgPmLZ0Lld0VZEXUV3dd9SzQ9QWVcfmLq6XBwpcP4oivxRJV+BSy14prbISFUBYCuWcPEZAiZl5gjGpPU2BOZh/eTTyUf3y81fF25AXGJBrw1YZxUHKlxWrkIBAzGSAkzaF5ASkIvApQCQ0nEMAtj2HZwjVQdAhDQeLYAxATcVieSMlq22rb6DfY44353qtvW21tqbbQDLIL/m9BzANyDXvJ0Y0DxAdcuaTjcX3UGEVZnbriflhroWmNO91nZ50Tz3HSStyKR8LPEnpcGq3gIRVjHZDovWoY/Asj7RfAWm/n/23gPasuwo04zrnzfpTVVllUoqlcqpJCHkHSUkIUBISAiEadYahoZmXE+LhulmpofVtNaabliLGejBDIsGGhgaBPRMCwnBYIQMTt6UpFL5zKr0+fy73sz/xT773nPvM+leVr4sTmTde87ZZ+/YsWOf+yr+E7FjE0o7AI3y8GkPz1HPJeCUdgAnEg4hBvy4BqArX4/LGcNnY78c6YPHQlWTfsJdeDbkpcU7jTcU/UJk5/V1p5Ir0pF90/bZR2ifzFm8sckRcF8oz+uZ0PMhcKmRK0nVsIvO5dYEHDs4Z2vyhJ5TIqH1esu++PhZW9jbVCbh8Mbh5HLBzq3x2wkdcUAGJgIvcCjGQ6lnTp58ficeMqyhVOs5W9Y2KLuRcvyB0N8Jwp8Lmu9rTs9AF9d8DNt0kIHLbZST3co0kGkg00CmgUwDz1YNXBRcauAApPbMio4CVAIwPSWgwbPnQGErxSSGJ6GWBa3lI0OpKRTyqgmDLOHt1rwuR2005CJpTci4KkN/Th4bhU8CMgFghIt6K4G4AIzlpZKMDr4U1lfU/byS6/TGw76bXQFFqDgnv1tVwKMua1kZNAs5rWFUFly29SApTwBybL2CZzERMso6KIHVkMypKkGv8rAWxBcQ3JZHKA/oVdKlQmcsgAJdOxjGLam+3T0pjyllmhYnl2d6RRl50Xm6h3C/X6Y2eYUzs+XJdGfeFATt+zwGYCU9ag0g+xOWBOqmtOk92WTLQlK15QBM8MDNaSuPGe11uSBgCUAhPBTwFwmAdLRwVKJ27bHucfe+3p+/R6Gu0rkqAeROXqgLwKptqiHZY9m/kS08ILyh1KFKup7f7Gs0jPVpAV3ApYNhNQCg7psLe5+G+pp6lfPpuJeSrL9B6LzkJ68RwA+iDqBpaW14XS+ACRDowEr1GGeoG9Z9emN9ARir2kiRuoBPCC9kbOcFyRe6awvQ4SlOK5HxjoJL5oV1o2u1puRjfameG81Xmhh/AI09X0/Ldidk8R3T3iLtzroDZs/CK73yAoEXC6zfLMijyfpPvJgr63W1uWDPObxP7Uoegsu9A1o3yZjBZABIwPCaQn1PrMpbKfH3zJSVkEhbvOg+43nq3JoyF5etlexvmZZzt5xXFK7bVBKu8WcCXDLo5BnbLePfSTkycLmT2sx4ZRrINJBpINNApoEbRAPFiEYuIi8eP6zE9H6LwUweNOzbSX2rWYYn3kMlkekIMG1Jo4y2qThUFXAFecfh3LfxqCoTqkAkYI81jP1ERAKQXKsgtPOx96UOZfpmjIBoAGpxadbXQgLWKjLmG7TRf+2FspWUe6c7oYyuSliExxH9cDunMcvcVj3qSi4BEyFX3dM5obcChw4YKcNDqWpez+9TJ8hXrk31waJqXJQw9DHk/SBPc2FxnwBd8CwDeqbktQKkcA6g8GQ3AiWAHjyAeY2vIK9rSYb13FRZ3rqCe8yGgJz4pw1igAveO4h9H1er8gzruiBeENUhZLulcIt1BDCfIy9mvS5vqspZm3lyQWt0dXF0X8X3yFwx7WUp8DJXmFEorZL/0F4f9t7Ek0ZCmCGZdC92RN+Lq40+sCRE94hCYfdt4S2DT0udMw68j1BZaKkudBkAdigDPKEndAYwhCJApDwSuoXSXk4PZxVgQ7Z80hagiCJDH1FLAqJqT9uW6uZ0xFEJe16YMK81yYVHkD7ZGzMOHK/yl55Y9H1KAcKhXZgb2rvsAFBkEKOifs8ckbes+Z7QNirFCW3oI/mKmjvA49nFSfvCY6fUJoQ8L6+v2923HnQAOq6XMPsnEoUx4ITaetmRqMB1hcxQVYAWz/SFsVkFRg/GG+7unu9iSXOvNaHMi/+erqFou1cLOzPoDFzujB4zLpkGMg1kGsg0kGnghtJA4SJ712E2D4wgri5CXiW0YHsT9nAkC2pXCX42UMKYeoSwuheO3hw0ckxaRJ46Upf7ARcmgI1q3oaj7gvAtGeXPKEQ6yExzBkF//wUw5Fz1keqfgB9kWfon/u+RYhAZk5hryQ0onG+oD0SBcx6JJ/RGkJCUNk+pIAF74Ayyp3wUbFa6V4glztebHEMBrnaQwwHVgIMlADauAYYYPxyzmdCnigkwHsEgHHQJ3ACEOMcwNLQGsaJMa3Z1BEQMTYewAQAyz8CPBdWGg48JxTTGYASvaaITlIEf4AqxjjgDwDlhnmqTjTSOQIs28qagrrWax07vdCQLMqIOqe1kblTnrH4lJ12HZNB9o7i85xTUfuv4qkLHjopIwGvqW683wXJf+KsXiioA9Y6Egq7dyZk76VuFD+OCjAH8GpJP/BHy+im2+C5GZB7HFXQVL1xAS8IAMZAGAsEqFJTpzS4BEiyBpMwX5+XRGcAwhXtVYme0RufNQFH9HlSXj5Ipz4WZGxofasulbk1AE2ea8ojseZ1TturFOXh5Tnx0GTJQzIi1liiEwe4uq7oeXF5/Z6eIx2jTiI/gPnJ86va9mTd5X/6vKIXdHOyMm4N9u7YhOAZ5js8d9THa3la28C09NKkOTGhn+poT5swuk5FiEYINBHoRd4RZXTFGsjA5RWrLmuYaSDTQKaBTAOZBm5MDWCo5i8B7WAgujnYPxkeL8V9StmNOe2piAcxbEMiD9pQxX4LgTwZw8oq60l/5BHxivCJsgUkqea6l5T3u4l1YAfAVAgviXtySmZTFCAkZLUHgKQh9zVomdoDWSIo9fswgQJ3WKeBIXcUeBockW3xrCnMcqsxUVmEsRrNdgeDgEVZ4ICQ6DkC2AEwACHxHCOdZDAO8AQKLsgbh5G+X2AJ6fp8uRDRLoUzvMz1xRh0g3scI5Dx9nwlFE/xztYFYtzDhRAXIcBKo8naOva2FMCVPlU0IDGO4JJtTpaUYKdWlwdZwGpNmWknBGCemv2yML76VPZd15UYEKp60k5ZTQlo7i7e5eMri3/wwKU7CF0hKbwJvSS8kz73zo7ZgfkJ1zMK22w00fvI+lLzSF88mBEkD4bBXKFPeI9LZoh6SEKoKXpotgUMcRmKFpXMhvDTME6VC1g++vSy6gXQSn3uHT9DKCvgD4AfwmzbShZ1tr3iL0eUmtg9zkdLh2xZYbl4LW8+MOHAGZ2fX17WOsYQrovnmG1DxMofkHDYbNQuoj8P4UzfYjaqVdZ5zk1rjaZYnF9Z8xcUZxbWBNbl3Z2d6jdNn/gznRSgC57ZhdW6hxR3p/baUnf3I7aSvJesmcWLeU3JJ+ia9nBdmWfg8rqqP+s800CmgUwDmQYyDTzDGpAlCTCKnksHSaPWZUokDNlIG02u4ZLAS2BJHj1CUvEA5rRmUD1GFuEo0JcH3CnZj68hpK6SBMV1hOy9GcNI++sJqY93Mh7hmpINxvS0Fbnh7TdHZEk3SG7Fug4KdUG4aFUGNwADI3peGTtZo+YGtToFDMZENu4J5NqBg2QUUKPexYgqaV3H+kXxasr7hcG/GQ23CQrx3vQVwR11+AAwgRL8i5CLcvrG2yc84GBps35GywCsdbbUEC8HwpoMPG8RgPmaTe37mZOXryCw0c5rbaW2cqlqm5bZyaKdmX7Y7tpzp80rxrgjUPXV1a/aQu2cdzNTnrFbpm7Vmst5q+TKNgGA09yPj4/Z+LQSNaUIMDxbHLd7ZmYd/HvGWoGtSN2ugJ48pnwYaKkkj7PWD95x+1QAhwKGXfUPH+5zxKu4XgteRbLCQk+fW7dzBSWy0lh86xUB68dPar9JtUHf0ZO4VgVAa4sPzRfzrv80jqKNyyMcwmR7dm6pbkf2TdjUhLyNus/zUxVQffBE1Zpzi74HKXqd01Yh+wrjAncC5DXthSpXL4mN6KucrF8sSb/zk/Kyi0+cb+RlftLXlEH1XkhWVVb2ZyRn/gOFk/DMC2/reTgwrwRKeulz6sKq9NK11RpzJ0++5PKGg8Yaq6vCWaHDdb2oOHWh5t7jmsB+Z10VdjnhlCUZtP8QLuEFy9UMp6/2q2GyS9tm4HKXTkwmVqaBTAOZBjINZBq4lhrAaMQgDfahzEwHbvSowiRZDGGj/HNAlwjjoaQ69208qBfvq24+aae9LwQqZcgv7vW2EXQGPgk/+qN1YmUV5em8FEJm7zMedO1ScvSPrlJlEQAGozkAvWg39uuLl+x7N8apB1jyMFOOAon8q65UfS9H2hyYH4RbIsZ25MO7BEsyZacPsQNTdra6OVRzYyddZZwFSDppOxVXTNKGcuEFzWMMnwVwqi9Alp8lFbc4oCdCRYV7vDZt3ZNJyG2pZGOTU/apzz5oH/nI3wocdeylL7nH3vD6V1ituqY9Net2a+XrFcI5br/xa79v99z7fDt2/6221Fy0o8UDduf83fbkQ2fsP3z0/bayVrVjx47a6179UpuembQ/+uBf2hNPnNgg1cte/iK756477Nd/4/esJeAHESZ8793Pt1e/+uvl5etYuVIWsFuxP/uLj9uJE6ft2C1H7Y3f8Epl1R23J0+ed/kZ/2ltYQI4ZN6RHRUS7johUDqmNYo8H2cXA3CaUkIjdLGwXFOG2rqvWb3tyKwDy1UBwodPLMqTOi5QFpITsYXLwkrTvZ9jAsF4MvmQxCgv0MZ2MlKs/26UXsdW8y0H7cxKBLCMDfkg5hGZuZ/8mF2ecEmp/xhsobuopE11+0r7IR/PS0svsakcXkhv6c8BbSKV5b3j+bjzln3yNDcdcPNypQUYn9nn60JzTT1fao6XsqskTfG54SXDucWQVGmvkil9VlmWeSe024nfNmJqquVNvsbSBrVf406uD/sMXF4fvWe9ZhrINJBpINNApoHrqgE3nrCkZOQU1qfC2kL3CqrQjzK03ABKrjG74jWSJ+AwDiKCxHjNkZwyl0oR1Lm3R8a7/nMjGdAXAKI8opT7vQAgo2cIk9ANw6RNMBIHZdQLNnYouySsNiI4mUQh9oPciq6E71a8Yjl6ceNdzH0c8Ub/OLBSAYrd1moCF1ShM1jvmivNSQdkASUhTNgCBM9j3D+RfrYKPe13lTphLggppU8HqhIjAFN5QcfG7KMf+3v7+V/8TXvhfS+wmekp+5Vf/V07eeqsfc93vc3BZUGet0ceftLe/4cfttNnF+wnXvZPrDcmD60WvJ1+fNH+3c/8st1xx+129PB++9SnPm8LFxbtv/kn3+dgr6GENi15Iv/6rz9lr3vdK1wqPJRdLVD9sz//hN133102MaH1gQqX/T/+z9+w0+cW7B1ve5Otra3Zv3nfz8vD2bP77nm+t/+bv/m0ve+nftRuv3mPLSyuKVx1VSGmkzahTLV6ahSSWtdaxzUHjUf3ab9XjRswuLTW0jpWJR+aUhZljb2mhEM8ZkTZ4r2G8F5TRkhspIYAGoD1wnJd3lEBRz1PhM56KKmcq6VFZYta1pY08sO39ULgeH7Nw2iZVPqNFJ8F+mYfSfoIvwe8kSpUx0EKneu/pztP27ne+dg8HFUOef1wmpzzO9PeogLCzMdBeTDx5oYEPwrdFXBkrv150fNEKHNDHl5eNkCsEZ1RkiD0mNOLhodqghu7cxeSZNThEP4G6TnW3y0t9c3oCjWQqe4KFZc1yzSQaSDTQKaBTAM3pAZy2mojx/q9moxfslPKY8L+iFdIGM8O7mRQc84HIxcjPBprYT2hQkVVHtaZqZ7ut7otO7OyKhBaUtbKija5H94yAr59gnf/YusT+t+OsLvTRP3RsvT9eE5oLNRW5cR2v6R2sf2VHtGje6aQuz+24UH4lYTqNJeEQILXLt0fNn9dQKYmQFYTCGDNH0l4KvKcTQpEsdUHSW3OKHtrSNKjrvp9pTkNzl0u8fH1lFoXCoCZkXcOoFIQIPmT/+9jDiz/5Y//iHh27OjRQ/axj/2dve1b3qhh6EVBuWKf+MQn7UX332WPPfaEnT19wSamxpWBN2ef/uynHZD++I/+Y/cgIT+ArKqtN97+rQ+4Pr7wpYfsU5/+gn3Xd7zV9u2TJ03yttpk7jV72UvvtW984FVe9n/96u/ZR//qb+1d73izffozX7TjJ07aL/3C++zg/n126vQZ++f/4t/a5z7/oL3mFS+xmsI+eWZZUxnDe+tKgIPewYeMORL9AdTjs0CmVZ57dNsvEx8PedV6yUZr3ZaVNXV1XWGzYsac1lsF74usreMCquhpRmGnc9NjepGidbgCp6zHxCP8yNNKVAVjSIeakvhAyMTLAsBpJXlG/UYUwi+SL7XzMHNlKq5Lnx29fMAj6x8AruQSKweLNQF4Xh48dFweT89OG0Aoz9BJPLuSy9cKS0b28xxTiG+9K37yurJ9zd7ZCZuWV3ddeuuMD/SWFmc3npOrqaEtScKrhd0o4e6XKQOXu3+OMgkzDWQayDSQaSDTwI5pgO0A3C+CwawkODl5szCMMSTZuN69LZj/ctRhaPPxdYSqH88xaP3j90N58JpwvlHUaBOP3qmBGshaK0ObPmhKH1dDsa80m1h2NXwLiSsDLyLgAOP6mSB6wWMVvEvoJgEYSefR6+RYQl/SqAOhlsKSVxsKR1QZ512ttSvLizQzWfJ1e4RkAvBhF0ETzwHrCdUbT0DSw+gh9B+8c1qfqGQzePH2zQqkqj3UVujkKXkpv0Ehp3gYTyvb6Nu+5QF7y5teK49gxdZXOp7c55Of+ZLA4jfaH/znD9vff/Lz9so33+frL2dnp21pecU+qbLbbrvZ5udnBbSKAoML4te0ssJYIwHe5I8VqBHYYi1gQoyjpbLzF5ZtckrJfVTv1Olztv/AXjt4YJ/Cc6t24MB+rYUsq1wePd33MWvYAGYAl9TuuoAlAK4m4IQ+mQ/A4YqAInXwGq7XwjYhJPn52okABFXs7U4vVB2ITWvvziP7JhUW2xCAZC9I9l0dPPPrCt1lbeZcsobSb+qrqzXI/L7ol99HWx7a1aqyzep8Wvrkt7uurWBqUj+AN4JXgK57GCVHqztv090ZG+9NubxP9wCn8rYm/TtYFDh1oDhesJmpkv8mGffpCwKuSqoEyCwpnP6u2/YkGWkHzwiyoXMyEiMXz8dqb9U+8JgUNLd5EqA4vt105O9fXWNhnq/2b9FW4xpobasaN3b54Fd4Y48jkz7TQKaBTAOZBjINZBq4BA0sCmhUZWxOyRCtTNTlPSkrQY3WoilMb58Sb7BlxU5RgCEpbolVNWRcyYjrCeQe2hMStcgudfK2GxikeF3kVGxltetzER5e7yK8uI1HAwIw9GS0b5s9KFTdke9g4AJoxG5k+5g0sARENFrK+NrqyUNJaKSgkmKVK5J7qtIVGNAWHRMztq69JMdzsy4b7XvyYJFVlwQ8AIsa4DLqbpsRAB5Y08gWJmQrnZ8ZF48ALmkP4CqVy0pUoxBW7W1ZXxN403ysNqp67ibs05/7iq3Ia/2SF99jTz110v5KYbRvfevrbbF+3l6rNZJf/NLX7Od/4T/a2uqaPJN77J3vfKu98YHX2Ce/8LgdOzoAl30RUxP567/5h/Zbv/3/yhPY9vDYH1E4LYRMRYXjIgce2sqYdCRQ6cBIIGphRXtwSo8k3AE4Ms3BOykgqUQ9nsAn6bAuENmUnpuqxPpc9B/66AkgFozEQoD2UwJm01qHekDPN95Q6hEOS5+BkgdeF2gPQBge2kE58wI4jm0WV2ueAAj+++cmHYyy3jM+7zwzzA/TgfeTJEDTxTkviy+F/GUQc6huKKM3jowF/URaEWiF98xERX8j2vK+NjTutgD+cLQDfRIqDTkA13ywvnPfTR1bWz6iBF8pppH5LjyyIoAtSZoN/Xb0fFwTukZsr4msV8B05/4PcgWdZ00yDWQayDSQaSDTQKaBZ1YDTSXdaWJBifIOVvBTBbu0b+/63R34ivbzCCsvjvcQJZ5zmjofaXb5lzvIa+CpDHsjFgWongnC0EcnAUgCP4YHxXq7qtb7sVUFYAcgMl4UwCkHQMmWM9ED80T3SStZ0aYLcw4mutrUz/kKdJE0iIyx8BmehM0tYUALGWzrCtlkbR0htqHmoD7rU6lzeP+MTUzPaL2qvFoCSdBHP/ZJe8Edz9X6vIYS+txpf/nRv7PHH3/Kjh3Z7yjrx9/7g3ZhYUmexyX727/7jP3ar/+evezrXyjDP4SSOpMtvr73PW9XGO5B+6n3/Xt5T19hL7n/+fLshfWnyITD/JwS8kxOau9FR+2sW5T3T55DiD08p6SLMckOSGM9Jduh3HxAa5M1bubjpPZvBIgd0RYggLI1hew+cSqEkpLAZzJ5SbMo8I03DGDJPDCf1AcoxnmJw6Ac8Al/6kVibgB0ZCiGLih5EO3xMeOlxANaV1irN9EXR3hHAKnu/TrdX3ieUk8TnSbkZ8m18xDH2JY1ouu1hk1tAJcByCI3TSMQLuYbdvP0x7XP6W22Jzdvf3Z83FZmwzMQ+9ttR5IZra7x8mG3SXZjyJOByxtjnjIpMw1kGsg0kGkg08COaMDDYtPJeHIK/5OB6sZjysDcqrOBCRqM2K3qbVqebuwVKNAnAbubttklhYCKaDi33ci/un37XBV9fQwA/lZaBXTwIWkNeIjwQ7yCeMEEd5TJtKuQV4VVlnBxAib8mzNOlClmxmrds1bOzcQSgYBhgOP7N2ou0tKk4Efg0//OCUCVrNfM2ZTWWuIBzIkf4aQlxVQfOLjPnjz+tE1qLV63W7QP/8lH7Y8//Jf2k//qn/rz9tnPPSjP5Zr97Sc/5xybjaYn2Ln9e79doa/KqLooD+v4hB08WLGXv+zF9n//pw+4F3NG/PACnjndF2TDCeG997/wLvuWb36DffiPP2JveuNrbG52xg4fOmDnzl2wVXlMb7t5r3tOa/WGHTq4V97dgt16eNoeeWpZ638LduyQNnVMiLBWQCZrCCH0xhpV5oMjoJBtQnTgadb4+hPrYLRFwh0VOcjTfcAmHtFRwtOI/kbvAGL5aQbg2fO9J2PbvfIY89sFvEbAGO9FQBiPsXy0XiznOHoveRfgobexXsO3oIlXgyNyQqwN5W9KIIG04pLtKTbtQL5rk/p7s3IRt79GYvydul6klQI+p77nZXod6w4KxHw+WykDl8/Wmc3GlWkg00CmgUwDmQa20YBnd9VXTx+Sgbg3ZRuDZ8gYugS7b6j+VnLAB8/aRYzNAcC5hI636usqy4PHjf5DttVoPKOyMNbgcYrXlEVDPZ4D2rC5AR94oxwscq4P4ZggQl/zqm5CGzxqwVu1pMyntHP+jEUgs5Rv294Jhe+V5XXEkerAMHiFerqvAmoK+BXsePcpP3cO4u+aTMAAF2wf0pX3izYNHT3EVUKMAhNnknyRFKi13tEWLR3JrZWP8v6dW1zV3oxjvu3IL/3yb9sv/OK4TWsN5Z98+K+U2fVltmfPnEDmXynssGG/8HM/adPT087tjz705/aJv/mMfee7v1Veyvfb57/4VXvVq16iRDfjDjrvulOZY286YlWFyV6K36ujkNi3vuUN9oEP/oX6+4h9//e90wHn/PyM/czP/oonG/rMZ79kY/LA3XfvC4JXVfrgd8DvIU14rdE9wC8AcKaKelpjqDGjS5LxxFZ4MSPAaihMmZDk8CyEFxTwqAtAjxI6byXrOpMZ8ioAW9bHEjK7rPDchVWFwIrwHs5PB3AJf2SKMnCfcwB/p1MN8821kFNO8+P1eMi2oHgHzyUAc0J9LWhbGKiuEGIoPhvxOecFDATbNMCeUAKxSi5sNXTTtMKPJUMjeaFUUmUl+vV14Fo8K4CuMGJFVCwpfP96EiGxLSX2IUR2p4nnd+e57rSUV84vA5dXrrusZaaBTAOZBjINZBq4wTWAQRoyV8qGlMEZTcrBsDaWDO5d7Zl2RLSJvEL6hLhOtk/ZkeLhTVheSwkG3TkYUFdx2w88g/TMNcbyqhK2RFpcqRvOG8r9k+gtXIf63lYFo3WiitE3xjmJkzDg8fogw5r6mVBSl5LQIp4wDPamZGE/RUJM3SilnTJz5pSkJw9Ddn8XXcit255uWI8IeAVYqBNbV722jPZ84rF2Hqo/enQvlQo9Y6zGjTwAh3iEHduXQOhnWesSteLQnjq7rjWGNQ8tXRP4aXQWtH/kqz2U9C8/8jf25IlT9o53vMW+VUl9AB2PPf6kPaBkPzfddNQeO35O3k28ky+yJ588aY88+qR9x7u+2fYp6c7nPvtFDwe9V9uGfMs3PyAvbTOMV/2XBGbvu+dOAZ8B1ESfL37xvVbWWk/NjBL37LVv+9Y3Ot/z5xdt//yk/c//4r+zDwlsfvJTX7Dn3HaT/dAPvsfm56atVdO+jPoHuAwhsi0H/R0BSMYPsMSDqS4cRK9UCUNu+zpM9EJ4KnqjX/bALMlThzzUySnjrIbtRBlzmgZf4U7waKqbfl3K+8BN7drqY0nrLQHx0LT0RihzwtrLmFOuSaqElzvX03PcPCfPa9ATwLKQJ94z3cqb9r/8jr4YK95UXhwgd6SYPTZexyOgGUIfcbxcz2mN76w85tA9+1q2V8+QMLcnn1IEtz24rqRK7fAM47G83sASOcng2xS49IHwQ8zokjWQgctLVlVWMdNApoFMA5kGMg08SzSQn7ML2lQdexFwg0cEgBMN2WdqlMVc0Sp5bWGgfyvdNTuyAx1j5GN8431i/z2Zh26AwxoP4ZrWFDJOPoQyAhww9MmKiVEMwPD/aJgiMo9GYo1j3AgPo9v1iC51Akgk0Q22PB4nwI/s/3BOXZVh6If7wRiPpiuesDMLNQ+/nNIWIRAesWVt9UFNMolGUNDtyJuGSC4nHLT2Up7MldyijXcVripbfaG17BZ8QZ6ifK+kOYZLGBiePWiht2hjvTGb0X2I52BRXtJVJXJBL1E/3KPlorLDQoAtnhu2aGGbEMY0odDMGWUvLRQk89KSvUrbe3zDG17p9ckau7S0akVtOfNf/8B3u65PnVs2PpMTY3bnc26yH/+xH/F5AUB905tfb9/+9jeH51JzyjYhDz95zo4dnNa8tu2ee55n995zh9dvChhCZH79lz/2w6G/Rt160t33K8wWufE0nz/zhB3aN2c/8kPv0TwUNOddu7C0Zg89ekpgmWem62tIqfuVJxbVTi39P75ynuWVNZ9y2EquMKfs58hzRMVT2qIDr++B+TEl2gnb6pxdqtniqkA4D1dC6DiEuAYAF8sBcT1lcY11By3UnzrEib1Q1XYzCfGMwEsNvKRfX9d4rlnj2usJ3Go8DsJVodfWS4m8AlNLwWMcecWjP8+6SByL7ql1by2KSIitUdJEG2TmeYfQG7/DFxVf6OcFf+5Ci4pectxaGbSn3U26/k+Lk1ZLh+uH6tftm/FrOvRM6O9H+JnumCzwHmhzx9juGkYZuNw1U5EJkmkg00CmgUwDmQaeGQ20hDzcAJCRQxgaIIFMjx5JeYkiBDPy4pUxotz7pyO2pxtV+greMF1jCAs65VpFa8qLiq0MAVjCtgpJuF8CdFTdQ0oBg4ADsttGXu5tdH6Bh7MSw8TmDYXJt2CeDG6Ff8rw9dA3BFODcXkM2Qwegzlk6aRezhr1olUVFsj6ObJ/3nRoyusgb/joBOGcKNSJX+pLFbi8GEkc5wUbeEKAUWTR8EX+xUmf8tp+Az9WrjCpca7Ju9WyFSVRQa8d3QFeA1AJPywAghJl1OXNbPTqdqpzRjU0A83gFT08d9jG1qe9HUAZOfgAYgAPteUAeie1rcZtR6ZtXe1IjrN/XtlQBX7rygzrJJBUXV2yxYWunVoYgNW+4Mgsng60BBa/+NAJmxJPPtNaV6m9M7T1hwCi/jH2mtaX8tKAbUJ61bp1BEABg3w8SY+e4fbpFQdtgGIVh3ON269V0OgJ5OVYrHlKneu/Dr7zgvc3VhE4JmRUd+t6kXDbkRn3MLLf5NPn131t67FD0zar9aXQBWWWPbtYt0N7Jx2AAbYXVuS11VYpzHb04hXwLEp+PpF4noKMIcw2lvMcet1YkGoEP7Y5WfAbbDoAAEAASURBVFoJLznKmss9ZOhN5jM2iR2h20AMVC8O9CInFnXbAuPyYObz4YVCv60qxFaxLP4ONA19qimkGeIZi/1wDGMOY2Cuivo74/dpO8rYOfCV0zrgnv2jPWv2K+f13EUh+/ev30lcG4sXM4LtnZAm6mwneO1GHhm43I2zksmUaSDTQKaBTAOZBq6hBp5uF+1OgagqaTMK8kApRi2XGMHbdYu3BdtPtqAb/BiXADE3iPXloXc6AgYcNOpIKB/7A1KJNWUh7DR45GjHffjZ0qydzK8L6AU3AUCRrTTc+JTrAIMM+9SPOsFAJ0Mpfcph5h5Dwkkh6nEfWTlGQ59y56iTCAAu1ZZdU8MQghlCEglHhODnxGD6pPOhSyBSkL1fZZMT161kI5wxkdTBF2MYYp9qG6QJBYwJsNxhXtVhpTimbUlqro92V2GSApk9rWdbVkqVE52nBNIFP9UX44rzpafB5ifZRgNv3EaKukQ+2gAieC7wZpFUBvKx6l5V3sBTFxohA63KAUKEhAbPbUiEU9b1jLbCaQk0MveMc1FrCs8tEo6KxzEARZ6TugDm8TPK0oo+6IWOREFv4SWAcIDmO6cw3XRfoc/PdT+vymqkNZAcyxf22nhzrx1VtlvAMp2fOLvq3sv56YrrHv7j5bytVQGpA20zhqR7qnjduD4PfUTylzZB2ljk8nsYLS91Umom1BdCB6OE3paU8ZbsvBB70pJQiWe6T6mG7AvKCxrt82O90l6536Lnmtrht8H8oTx4RMDTP6rM7+tI36Eqx+jlHwBLVXHKJ2GxaunPRMLe76XPk+p+YO7YNoc2d5Va9qC2RtpJIJfu63LPGY4c7kEPCLpDtIOsdkiinWWTgcud1WfGLdNApoFMA5kGMg3seg2st5XpUwZzVZvP52Vot2X54f2rycBfWVdYHv9kIGPj1gXysKm5wtCPhibnGJoxvI+6svndSMV4wkgFfmFUhqQ06nMiAICKKmKqES1HhGmDjB6TNTs4PiN5wj3s82jO0aefi2csoz/6d0Crwliu4mtCjInxQXipIGTwAXJMiPFGok2akDca7+nywXkYX9qD7P2qY+YnTTl5ogrlOZcBvpLORXHsJG14PhTpl/5cDo76t9aVF663rnlL/JpqS3vfu1NcugBOPRdkf91AqufrOHWDLvGIrqyHFw7eiXcUWq3VOu6xdDCkuoQKo47wvOiFAhMsamtsPHeE7GLMBw9p0DVANq8XCIBFZDwvMLZ3pqysuJUwJrUHZkKha/rQtTqKz5/r28euvluEz6pOMi89gZluPYzfB6S7PH/omnWXleQFAmtdGW8aNIZwVHoOzyE8kZOngnWaSMWVr1dEKhgkBJh30OzP0QBd0jeUrps0cS86AJx20JjWcVb0SRNjHWob++So/5DK5dZRs+byeXuE14feXV9ppjoP+vcqroe6dMNLpUoaGate9KLS3ejzOsJy6JLuAZjPnxS4XJRnOKhhqM71uAjzEV5u8GzuKIVp3FGWu4XZ8FO5W6TK5Mg0kGkg00CmgUwDmQaumQZaKdcA3kH+NeQVgqpsbSFrz0GejDw3ZnX09YkybMsy9rnnawtlcLHGjOuSPmPyHHIOLgkhlRe3Ei+srStxhoz8YitZU3g5w744/8vhtl3dMN7QH2HEEFfRRox2POXRdI9lGM9O/ZPkeuTgt/UVAQScAANS6RBo8D5B5roXkvZwX8x8XulMoExQQn5KzVtZoEhgEWn1n4JLQRn6D49z8DpHMUKdBK4lwnMIQJMT3YO9iMO6ktrUlPQEL+5BbT2CZ3piZsZlmVMfk7M1O6M1lTwzt92y39swtpMnz9rc3JTvM8mzRo8cO3IT5QVYNvOaMrxbpHcAjKr2ydu1W9as1RT2W7Ty+Lj3zx6e68vLVlJyn5IyzgLo3tx7q6/vfbr+lJ7Xsh3bc0w6A9RKXwnP52g/zmO36Pcgflqg6P2QXIk5TQMm+kU3hOUWEi9vBFe8fODlDCHNbFXCwAdzGgA0jAGhaYIn5ImBQnLV/m28umRp7UoH1JqfGvcQ7n6F5CTycOGGbqJBPVv6lkQam186Ly7h2W9LgSiOkdBgQCs6oj1JinixsBm45PfP74PxJo9QwssPW34xdH/+kGuXEM863mi8l3IE7yyh8P5k7Czr681tp1V1vceT9Z9pINNApoFMA5kGMg1cTAMYNgmxFYksYQFDwgDN9s4qm6RAAlW4doMzVZ9m6ctoCw6VxcKkj20PgFsad93k3bbqdb0p8TCcoXR4ZFomAIiTrOoBCAsgxHEDt9OKSjdObtGF/LhDRL9pQ71/EfWcHAPrANa6uuCMuexjGNVDRoBCOOJtCiHHdMhcOw+vp4KEb4/Q5QT48LhAePGW5eWe0l6UACz2rPzffvoXtX1DWBNYLBWVMfaV9sADr5HCOvb5z33Zfuf3PmD//J/9oB05OCdved5+87f/0D796S86UHnxi+5WNtk32pHDB+xfv+/fa63mYugo+Wa96I+994fsqZNn7Dd/8w/69yYnx+11r32ZfeMDr/Z5+d33f8ge/NJD9r/+q//BSnqmyxOT9kcf/Ev7sz//mMJqm/bSl9xr7/mut1lxLG+/+zsf9P77zJKTd73rrXb/vXdpkAFcAo7RBYAxEupAh/6iIVm66KGyqkIUOGG87PcZdZoGpswn5e0UP/iG+Rt4xmNfHIP3lB6ZJ/WRqyvjqgDe6LpJ3Wd+4Z9XmG1M3ATYI+o2/srgESnObbz2Y1IB4M+6UX+avCx48kJm3KEWWrctoK46PL9EO+ApDatYg0zU3rSvyIbB8eLGPcCx8Poei5rbekPb/UisbWW/TDFRPxmdo34us/murp6By109PZlwmQYyDWQayDSQaeBaagAjF6spMUhl9MZN4Ud7xe6LxHnKNo3FV3TsOlqRV6Q7CA+8IkbXuFHwXAbTHGCFsR7BJl339QMKTFnuwAEgW9DZQHODs5TgUiqeynRYLJwpwxCN5GfOQF9JcZyP0DU9qkS6FcRwT2CX0GOq461E3oSfg2CdbzCcqQTTWE/X1ImgmbBRPoemS3ZaiW1g/uUvP2zf/Z6327iyv545fdZ+9ud+zdbW6/bOt79J8nftSw8+5P0WyxX7rf/4B/aRv/pbe/e7v8Vl/ejH/94efexJB5cveuELHJydOnlaPB+xB974avEP/YNavvyVR+yHf/h7vez0qTP2C7/02zY9M20vf+kLtQa0YyfPnHOxy/JYfuiPP2L/4dd/z779299ie+fn7P2//0FbXlm39773B2zv3nl77etebtX1mv0//+VPJfu3Oc/JyQnXdzSSWduLLgCIEbi5LqSTtPeR8G0ohP76qb7QrQCjdBXbCoO5atNtqe1zR13WSo4QMkyUS1atN8Rf26Kcr9nhuXU7qjFtmLukbaVUtppnjAUEt+Vh1ojUSZCSU517p6GBPxPJ/Vinp2vCYmNiqaSmxiNveKot5fweXAfC5Mp75XMQ6g++ow4GJYOzKa3/fu1swz5fL9kS6Y53ATFGon/Z87JciVrZAcHEyn/nu2OYOzCgAYv4uxmUZGeZBjINZBrINJBpINPAPwgNzMmzcp7kJiIM566QQ4IlNowfsyrUDLfS5xsqX1ZB4JR7Bj2XIzbxlmNODwMjM6xXwyjcCC6D2RnAF+Y7o+oocyihmhjojqExKFMK7uswEYh2GOhkyU0Thj3tQlPd03+rvVV5PQqm4EhrWNNOd8/IU0ScHcAFSBk8SNT1cwGSfvuEOd36uwU/UWFgncgYgKmK/AbburDWjlBYiHDoshItTZAIx8GlF2vvykN29z1327TWRdbqTfvEX3/K3vmON4ebyTecv/DFr9rrX/9ybTnyWtfnNwpAssayrUykb33Lax0Q/9pv/L63+Dbtccm2Gi3pPdLLBCQP7t/jAOcrX33UvvD5r9grvv7+eNuP6P5jn/ikvUJbovyj7367nWtrT015Oj/8px+182cX7cWvv9PK9Rn72tce9vqvfPmLbGZ62la0V+eitk3ZPxNiU/vJm7z7ZKbDISSkSuYvJjvy5yM1zzBvJYCRefRQZ80pIDFNPGO8xBidf+rgga7IG1xhrXRdc1Hr2teePi8Zp1U+kthH9eNzVhGQ916QR7wTsV1vaXDI0LiHp5P1uNTFE1mU6y6uG03Xx1s9SmrinnDKyeC7FSFbmlesN6ZkUy/QusuHmwKXG/F1rPaMH8cEKtfW9byPhCpfjSDoKvm5Xg2bXdk2A5e7cloyoTINZBrINJBpINPAtdVAK3+zvIVPyiMhI1AIA9vTPxfr1g1sVYpW6sXqX+w+fEA4u2iPu01FFhgA5EHuuURZTpQF7xQlZGsN6+t0pVttrQekRr4gACCLMu3t9OZ89XlhnGuNl0BcmvCXYqvDP/TGifZV7J7ylwKssMyp3+AlDS0xXnN6WUB6HrLCQrQFNISDxqPz5NLL6AHDn94J2WzL21VrdBxI4nnjBYRn/tX9aYHKm5RllfYRdCdMBCrDVhWHD+1XOOyDWrMWAGm8j7f82LGb7RN/8xnbv3+fHT16yI7dfMTm56blIWo4kBzX2sdI9NGorssLFzzHlF+4oH0oJc9TT5/SGs4z9pY3vc71E9twxIt5/vyC3XP3HQ6YjlefsJe/5oX2ite8WCGlDfvomb+zu3MvTTfRVioNe/ixM7ZH2WIjuERj7j12cBtmIeouzHVgEddcuoczAcLITt24Tpea1HMgPfISgcdLGFJ6j/NPz/RHUh2FnGrh354ZvJdBnxcWmvbg42fshbcfdlBHP5HiOWtNw7rcwb1QJ3WdPH+ewVbPK0T7QoKm6NvHEZ4gF4kteTajCMT5jUDwiUB3s/qblqVE2/T+M1yoHWr8d9vRmAukI94BQp9M/7MRiD0bx7QDU56xyDSQaSDTQKaBTAPPbg18tVFS6n8Zf/JcYux7mKesgm1Np7Q9yfm2lS9Rf9rb0olFgldBGGtQYieHiy2+t6sDHx9meqziA/sEW3onfVDBjaRuPPUQQpXlFJbYbjZdChLMQJTBjLqbEf1jl6e9O+7NlKfQB5c0xPsHF2QS7DClrfFkNaFctwQsg2Gv9ZKENapWlJOmzkadeZ0ECBSbk9bslmxRHrUue0JKUdwvl3I2PaYe5KlcOh9MR9bv4Z/NaV/NI3uSRYepAdEWYLMZtaST7/3ut9lv/c5/sT/4gw/Z8vKqTU1P2g/8V++2V8vLWFtd2dCMcFxkgUgo8+9++pcc7K4rpPWND2htp9Z3sjZ0M2LtIWM/2zyj/TEFEATEm12NDxgdWPaboU+6GfUe+hwAsKUrhkUdAGe6Ht5FiLEnKnWvMUsWI9jiPrx8LewIuGR86XL6iM8q53yOjguAz3TtzEoA8E+cWbKZ8bLdfHDWPYwA0EhRX1wjUyTK4ZUm7oY9Ouknuak2PE+Euvra3FQDEvpsRuwJCQFUY5fwS/e/WbuhshHZhu5dp4uytrZpacumnQOXSq7k878LB3uVOh48gVfJKGueaSDTQKaBTAOZBjIN3DgaWGrJqBEmYCsSbMlg6Ej+LWydgWmaGmOq0E/VdovmqUYjp4nntL+Yb+T25V5Gu3i0XTR0R8vT17EtY0gNzau4QZ6AJe5FcOnjjQ37zFAEgC6As8sxrOknrO1zFs4RyEKffBwmAm5k2xPCeFPpJjtlp62eZDb1BnzhDUYCHX3/QWfA14BCke53BBxr01ZoTShba0mJcPI2phDMkoCCAyEEEFryPTGdL+PXhiXtprKxKkOrwGeaJrQHI33WFeJK9tc+WEkqdQQu5+dm7J/+t9/vQBFw+Wtag/mBP/oLe+2rhj2JkS89RKxalmz/y0/897a0smo//TO/bPfff7dnKx5OtAQsAhgVrClvJDK8fPIVVrEphfZWbc/8jB1vnrDCSDg246VuawT4Aa4Akqx9JcwYeVTNvYzML22oA/Gs9Z831QGwxvWV1KNtSYBt4KH0Zs6P8pr2B+0Tnfi08SJBWZmFVF98dN4+1V20c2taf6nn4OGTi9qns2zz02MO6qhHOCv98AyEl0cpnn3m4QRZmwrhRmjvSsVlvQQJ45J3TQPwbVYCQ6/DetvNiMy6EL+Pvg50zbjTv4P0uTdI6sTz3XYEs+vn5r8Dn9AdEDC+gNgBVruKRfgV7CqRMmEyDWQayDSQaSDTQKaBa62BpsJQMT8nZThGox1jJ20QXqkM2MOXTok5e5VhsTshd5R5M16Mqb+mThVG18vFtuEYTXSFOZJEJUXRg5kqGjqlH9bsIUPfAO/rUyf+n+ZN/8b078nmE7a/vU9eFYUz4t5zCv23e9raQ9tkFPMAwLJsYoE+/xDmGEBOsSUuq/ut2JiyVmnNKto+ZK/WGk6OyxsqT6Unc0GopD6nEODBdRAEDYXJN9uMjAlgPvrIE3bLTYclw7C5WVEG1y9/5VGta1yRN7Ro+/bN2x6FxDYEAh1YO5+BDiPzIHG4wtP5dS++1+56wXPtD//znyj8NwDhWJcjQPGmo4ftkUeflKw9m5/Yax/40F/YT/7r/93W1mo2m5vWsIZlE7ZzEBc8bwMZHFwKT8Vng3rohnBXdAkFD18AUYwj6Bi5CJVWhag86ko28FnkR/sACgsCnVwFcs76QkyaE648LUD/oiNzNjMWPMZr2j7oa09d0J607QD6hTjrjXp4foJofRkj33hkhE29JGCdJc9b/MQxcR1CctFTwkxnrCFNyx75OQjVBeMnY26aIs902Y1yju759COWr1JweA0n7rpKhruo+fBfvF0kWCZKpoFMA5kGMg1kGsg0cA01MLATZTRhBA4My7QRGSWgumOXgb0db/kRY+mKKPGEmbLFYshejQGaNnavRJ50+9GxIJevX+OGdJBeQzdaN1xHfSYNvDBRktp7mOcmDTHhMcz5EL45Sj4PEgCgFf7l7WT3pKr1BBIaaqM0PwJsXc1pXu35F+TtWlH3FKzoeqYwLyFK1TnvojZ5wRoVhaPmj+g6TuZgsl2fAqpxXSEJfdbrHSX0GZ6zDwq8/akS5pzTWsclgccffe8/FtAZXnO5srpuv/v+D9jJ0+fsubffquQ0NXtYAPA7v4PMsShn0G8cPyWjc9rttOzbvu3N9m/e93P2cSXuecPrXxGr+7Gp9Zvf/E1vsJ/52V+x/+kn/q3Nag/OL335a/aub/8mJe6ZtMULdeloqImPnLnue950nyoARzyNzAtE6DNexvRLBvfwybNIW7y8oV54KVFXWHS6K+enpDzUS88zkbV4YOkmjpd2eEuL0n9TMnA9pzWvLzw8a585uWzrjZZdWKnbk2dW7I6b5vu/obrGP5asm0z/ruDNb431uEvdZT3LLX06Cq4u2lRukhnQdVtjLjov6kavLGOCGgmQjaHAoTT1AkbDZ82rh0fEm1sc07IdXyrYckMjDA7QLVo888Xh949eJNoOoCfmdgR7P/ODukY97oB6rpFkGdtMA5kGMg1kGsg0kGngGdFAT6GxweAMRudWnWLUYtkG8zrU8rKtGlxC+UR+0lZzbK/QsZXuis0WZi+h1cWrMJ6dJjxLjB/YAIDwiyFtBP151/o63Tnj4G7eZhwQDMkTmw8VAigEr8Q7Lb+XpQu8jeokfZdyyuipf7VezZP3IBvrLCGyduZ0DThBXuAqy1v35ve6cbveKVpjfMVa42sSXn1HRDMyLlxnhFdGIITXbXGtY9NTXWUrJQyzaO/RVh6+5Yn6uLd0p5F99eDB/ba4UlP22An73u95u7H/5ZQytr73f/xB+9Snv2CPPX5Ce6zut7e//S32Ym1BUl9fV2v0aJ55tlRhYbAEVgFYe0Jtv+/73uHbavQEXu6/7077zu98m7YXkfyim44etAfe8Cr3Aq6srdr9L7zTfuon/5l9TFud4N19y1t+0L7+6+6zhvrBa8m7jVkBzbd96wPyog6SLrUEnvESlpI5J9qzqTV3kQDuePQarYGbEQBGZtWGgFn0SqF193AOmjoL2uLZwxMGoIwED7ysZGNlW6BIiIEnNq7xhO9BhcHefaxsn1dSH+R44syyzUyU7fCeSW820qU/W4FfeL7aCqX+QvtLkpUQ57ae0mnN2z2eAKih0GWpw/XM8wcYThP9kb2X5axp6nv39fyMhv1SL/0scz5KzTaAXeUjfEfrXY9rQGWjvjNbkjD08Dfkeozk2vaZgctrq9+Me6aBTAOZBjINZBrY9RrIa90jZh7GqOzFi9JGk3CTJpHhJrfSReO5MQGWlmkDBFvrVncMXKb72HgeB3lJI+k3x7gHoLnXB1QwQn38J/anuqftQveC18AbN2+A5tjvSMPUJUYntUbnwVt6Bzk73nrKbi4c9VZ40gh1PZg/JA/m09ZQFlQ8X6x5JFtsqVu0I4Ujknp4rKVc0RbkferZunVKITkMAPS0tuuYy89aWYDVSc1iyx7u1sTVN8Y6Swl1fqVtR/eyXYXZu7SfJeRj0D22FVlaOG9N7RG4/9Bhe+tbjygTbsdOndYWGnum7Q2ve5mA4CvVQkBE4KYqMMg6UqhVr+le8ES26nXPIEvm2v0HD9m733mzy9SsVSWn2Xe8I/TbFnh89Stf4u3ZBobrZfV/5OC8fd/3sIclc6dtPNbW1A8hwzlbWa7agcOH7bvffczvNeVFxQPZkF4BecLCTkX3SLbAuH2Q5sl3ugOvLOMGXNVVCWAV61IPsMkcqooTHmDWYQbP5wBEIhNltB8GlwHgpRPvgveOTRSstX/Gvnh6SeC3Y189ccEOzGntrPhA6T65HgJ0uukvKAbdU8WJZ5xMx7xQ4cWBe6xhlhDzFda4DqNAxh/nfyvv/pAMkWFybAlYavi7kngu2toupVbtai/XTZR2GVJHHV1GkxumagYub5ipygTNNJBpINNApoFMAzurgXb+oE33ztiqDCZymmJQ8nkmCSPL3Ud0C3i5LKLRpbbZbFyx7NJ4YLC7vOp1W6+D2HUEl4MRnfThh1Q/qdP+kMXck++k+EcJQQltbSnyUP1RedPkYRO4K5cqVmopFFb+yJI+ggBWU0VYOwAWEsGnWdanryf1wX0S3awLwPWKLXve+DF7qPU1ByIdEgPJncc4g/wDQSljH0YIb9yemaKtNHq2UK1ZQ6G59PnpzmftQOGA3VF8rrendll1F8+ft9MLjeANFADBQzc90dwwe85dfZBRlo8/j0EYB56PnDhptx6alocugN+6kvMgbJDKRfNxqKEDI8I91wVaq+vybKpeQaGl5XLZZQMwsU3KQ4+e0nYee0NjfeOl42cAeFILLy9JZgB/+ufB8wAIBITGcGE8nMxZ8DByRp8CjDQMl86P8XM5CqS8XDd8O5rUvopiIdBrDlydQfKVF99b94zbhWrdji/VtO5Sq0+17Q0JmVBKWi9c0WekSq5sdxXvsC9r7lHxam/Nnury4uJmr4LueXmB6Mx3ui3jYdyjBJDmuaEtnt/LpSJh1pfb6Bmqz5+nypj2GdWel015MCva//Ky/2Q9Q7Jez26uDnZfT8mzvjMNZBrINJBpINNApoGr0sCTzfCOOV+Qq0CGE0bktqDpMnrrG4icjH5SfBzAuDWCAP1WqRrbnV5q/YsZuRe7H2SIiWm21FMiDocphftSf1zHfYV9MriDyQVgcY+PuhztlXZRFXFtH5NCeVvw/4nWcat3G94O451/ZGO9pXKL1lmW7JbyMfc6osZwP8gdOgq9wYskQ6yXxPtUlOsPQBPqBLkL8moGeamt6dMhfsJkKkRUHtK10gWbPLBsXy1/3kHlZ7qf8zE3rSFpE+CohrSdnZScByetokQ/ALLHTq74/pnM/7YfyYYUfIRbdAwev6E2LqPuqC46J2SV80EdGtKSYaJ4nnf6TUBTAoKoD+Ghol4MQaWsLNSITtPkoFFjYTyR8NxRjbJYGxBK2/T6TA8zVYXR31t8gdFmcV+K8CAC3BAVvukP4/U5VDl9+DYhGkoYTRgL5QDtrj4DvaADdKUXFZVKKHcNx7Yah7yXrL8suV4DR8QCWMYMuFxHYh1qBNpbeS5j3c2Oz5tu277iQJ+b1bneZZPyWvJspMOkr0Qmf95291CvZFj+KuuKGmaNMg1kGsg0kGkg00CmgRtbA9WOQtDkAHJwqaFg6KYN6qseXWKLDkzSYBQ733QhC982FCZFqUNi+3vJiJ2fqjV6GnmPlqev08Kky4fPMZoxCAmtHIAC2oY+nEsi5J7cHoVsKkOrPF8k2QmAcgAJAC+ErVKSHlcAOGE7kn7vYkzil7bWpXrloSHpwpnoluQ7XD6s8OJ1rQsNoc4H8vv7bDhxYKHj8rpAqpL+TFfKVsnLt5kvGSHKt2hrk7Kyy24gCbnE9he9EOpbzdXtid5xK3dS4bOqgxe1mqvamv6N58cTgBO47ZkZswurLYXJBuDk6/NSgx/MAmfDVjfzDcCCIcAm6sk5h2LXDS2pwyNVkYeStYN9or0YNRUuWykH0IoMAch7S+dLCCw6TYNGtj9BhjTABAg6yALxJVTU9i3U8eeDYrFFbq7Z3oTwYQigCKUBJ9cOLnVsj2z1geh4D+kq6ILagZA82QHE7wEuk9HoThivy62GDr7ltY768+ch0as3Cg0TxuGiJYDJetsS28pInfTPeEZlpxEglzFAo9livfASvl462bCnVycuoeb1qcLLG7yWDXntWYcZx3u50oTHkZdHaaVfLpfdVz882btPrkyiTAOZBjINZBrINJBp4BprIJrdhWIw9jFA0x6Xq+0ek+mSzCaBHMeXbEeyVYORcreHR8qG5cWyT6x7Z0rlrT7DLbe6wtuE4YRxHbdu2KoufU1pq4uJnIxkCYu3EO9igf0HER4+Lt+AA/rnFrb5ALyG+/S8R8mOigqJbevf6dZZO5Q7aM/JP8eH5SBBfbLtyOHCYZ3l7HkKTZ0QwNPpEBFySfhkt9CxTrFpJ5pPeUjt7ZVbbaxQ9rrIgqcLgQJveR9zswOZxbMIokl4e2ZavLMSHjDFx28xoIQHT9m6ts1gVgCarCmkTkvrIxM2oS9vQkngEQCQWAuQwTeCS1hj2HtfSR9RVo5sw8JxlBibPxm65+sh/ZqSQO591Gn0zDmvhA1tI3kIqzjFepST0RUCeMWatA/6HADm8KKClwaxljdzrx8hy6P7bKIL2jifkTYMseyZXQMPQn2hOHSXebib/v0wNulV/AkXDhQHG35BlOX1AyXUNnpIeT7T4Dtp6H3GOq32Jp3GitscD1UEjsOfpG1qXd9bBb1EKCk0vVa7sjEiPX9LeFnwbKNNXk0924aYjSfTQKaBTAOZBjINZBrYTgN7BUiWlNSnq+1AfJ0UBs9Gm3w7Fld0r9+FI0sBCbJEbkZbFFM1GtCcj9jc3KV4x6gor0xkiXE9rKZt+kIwKicHBPXaaeFdSoAcYwogIgoOxGKd5ZjCVQ8U9tiqEh9REVAViBo0DG3nc9oDsTslwxUwQ8cDArisrTYVHilPlJKKHikdsEebT9qx8k1W69Y9kU9e8xBAlLgKJAUQBY+cHcjt6zObLEzaeHFMWUNbtt6r+npM5JjrztvekupJvihhRVtiPH2u6oCE9Yt7Zyu+FyPM2IPTqT+ecOmNk1BpbrHeE+AHuITQ04BiXzqq2MOP4wNBQXJOy7KAPi05B8hzBHBXEvdfKfFcxn502/uiTVNeQepzHgB0WHepSyc8l5A7Hr1PQG5SlgqfJcwUsDj6EoEy+u9s4rmED31zS1uQ9onhOVDXCfPGNjGRmklSnqBGnhk1jANQ/UquoszBc1ojDHXce93XexDb7yAX3tv4zIU1l4N+vFLyFcHlZuAzXe9Xn5hWghyJwzsKMDmixT4DRk9X33XnJYWUM3+1dQFvf4cUhb+4qHg8Cav1JFkXr35D1cjA5Q01XZmwmQYyDWQayDSQaWDnNeAQxPe6DHv0bddDtEu3q3PZ9wRsBR0GluWIjTZyuSX7FIZQnUtttSW7oRtASQzfyNXDh/vKiKXpJgF8eokMfqq6Va8T1r2BgDDUe4AMDH5IbGTDO4gSpnMCJPm44n0dZ4pTVuvUtaqxLXAgYObdB1DVl4RGfWmdlX+By6rsUYhraGwAUh9uPK7a8rbahEDsmDykAoBFbVeCrJLf15uGQSTMcvacwq120+RRW6mv2MOdRwR6V8WhYHt68nBK7ryALAQIbAoRnV+t+1gmxwVSBGSA2L4+0mVN2KYOybCSkgAsAZcbQrfVPo6bNYIQIcTIgA6AZC66gz2/Hb507S11M4JL6hH+ydGBX1o2dUK4auwrbs+RBqHIB9G196lzWKCDNNjK4wXX3I+CS54JEiCxFckoRTANdpQ/uk/IU1a/tMVfWmN7FJ0DNMvylEPhZYFOVO6SaX4525Of94+PV2uvm4p7xWMdn1hV8XHg4S1LLxEoI3eMcoBPmvoAW7pC5d5lukJy3prSPToWg6irTart6qKxisLAtV9po06yH8Y6qo3NxfcESXrBk7wn2bzSDVqagcsbdOIysTMNZBrINJBpINPATmogx16XrMHcaNNu6CaxBzeUb1ZwKUZjNwGXuW4wzKN5djn9bOhbTPp8UkJwiqGNceyZMDVeP6oMbwzOPu5hFFMeykLdhkJJY6Sfr7vU/WCij/YeTHOHNaoTDMg4GrUR6GLLDanbPYMATLZ7gDBOiaykX8hBnccIMhrx1f2u1gy2ey1jZWOhMO31PDFLqCJwoC1G1N4BhY45MXQ+qtkPiS017baxo17nsLIGH9TaTPaoJJSUrtPJWAAbJMiBFnuLfmS9KOtJ4ZuTG21WgJJ1ntVmzeYK8wxkyNA+ry0/AGYAoBklRAFEQ3jE+gY5Heu+E0euRfE+IgBc0rJ5BdVDL7REHuYmgqk+m+TEE/0koavelka611Ao6dR4AGIljQdAKtu/TzQHWAGSI3HNZygsFpCnMgeNSXuuGQO6j0QZHj6vFwt1pB9Aa6MexhDHThV0x/26PL3TCitOU14x7vnckhc1CYtNdOcioB/dYaiDk/B8txWSHO4kwqqu10uq0gReJDkCdAMw67yc0B+KZlMy8nCrQVpOgBNEaDDe8/7LEy8dfL1rTi83xPuTqxU7rv1W+17LQZVdf4bM42M5qyp7rH7SvjfopQjt62f1OITnNGr8Ulru/joZuNz9c5RJmGkg00CmgUwDmQaukQYwoTGk8TIJBMnpE9aA9U3Rq+o3MVe35NHvRe4L5IjWpexNJw7BLE6xSN+TcQYIC0CRsN4ADBkDZYADjF8HiTrCN9QdnKf5u4mnLzSC8d//yKLnnEyn2M1ABDeqo6Ap8ZDYiXsJGICfowLd8MQ+ug7GeKgbgRDtAA9489IgX0Wuh7YDOrawyNlkbtzOthfkuRz3bUgAlLSFEgl0EkYXNr3QDVUgmQ4grzulbUiElPFgEnLLnpCEJa9rT8oa6zGxmidaNjWp7U4UpslwTnfPePgrfeQbY/boE+v26J1/7UCR6lrhaPcX7+O2zhIp1CchuKvr8oapCB1OVBIgrXqsQU0TrRgGn4SD30Zf6AmQsy7XXbxHPScVIEMA0XmtHVUfXom5Dklt3Asszv02aih2/mmmQkkBffTnwA8eqqNL1RsGiMgy6knlGsDswCpI5u1U3A/npRgZAJFpr2dSXQA6L8+lsrTqmY1AjXuAa6RvqVyNY3U/sv6VZxQioY8PnQuNPT5fAYAnA2Iy9EHONDBkoP1r2sJDRFlRfU6NV2ylqr1Uda8mEAtv7sUjdRk/hP5Yd5ks4/Wy9Nc+rfVWc3nKYy/puzfQucarZLt6IaBQc6YlGf92I/Dfi+qSo+vZRhm4fLbNaDaeTAOZBjINZBrINHCJGljtKntnZ05bZSzIKFI2UrXDIMTgk714yUR9N0M5+nm49nN9cYQ4YIT6tS4cBOqi2wyGcrOh/RBXZLhKBuxn6lKH+rTlhCPXEPfD0Q+UuKEbZAcQYucFTxLr/Mimit0H2FOx19Whf46RTNvoIaJuMLSDMggDPHtahr/AmXedyBF7Hz6GNtRjDNjPgTc9ahzynuEpjAS4KyrhD5XoF2CRDE+esY415OY8uT5rR6Zytre8qCQ4DZuX1/JE/YSOc2qn/9THbH6a06Avxkk5QCuhNSXUocJkY6891Vy22fKUA7ZqQ55UlK6bAECAxFJVAEdJlvbMDDZczLFADpKnu7V3QWs0GVvwFj4v/1wNFg4KARXAyatfZFmrtwVYA/idntC+m8mCwRg26/ziF4NGaEjH5Cy5TNZcKvSVZySGpfpNH3Ef0oYiGvuQWC+YhIeGO/1v97yqnzCnVGY9Y9AbYDSCJp4JPHdpAswBJgFokQDigKv4O6KctaKElY5mgFVV98LyfMA/EoCypTln/XO6S0Avz3TaezpoQ788WwI5CoslrJZxhBHFWhzpJ4BBVB3vR1WVNO88m9Hr6GHRtEjEmxiLCZ8iiIVDuBmnrg8uVRBCgYf1pgZ9inz7BTfoCc8i+ZCq1bD+MgL97YZTVEIgTfOzjgZ/bZ51Q8sGlGkg00CmgUwDmQYyDWyngY5enyv6Ttav2bQsgppOMSpJCIKnBawRwWAf5MlgxIiM1xjRwXsY6rpRLZOVOpidfoLxGf6jxC1VzFEMS46EogKMuvJyEHJHKXYywA6DGW8hxhoGeDy6UUp5incAgrSDQwAIflsF9BPIpYoXPr7+Reok8kq3kQgCTMGAD+Mf5pWMODShQ31Y99eToY+nAnBbSLb5KAg1dPGWjbBA58hPOKGDZ51PjGmbkFrdJtt1e6Q+rf0l99q09pLcX9KMCTOdby14ffpbz9fRvv+D+U0lMscmJERdE4icmijb7ETJ1mpFByoNiQEomp4oCFgW/ZzxE346COXs2VxuRo9KAAq5srK+TlTFu+JTrBRCVugMQASJg+DB87BWU1Za9cH8zU0lpqfOS2TOjbJtcuzfU92WwHegAFiIME0DL7/HQ6e6fUp06yUqd6Com2mVIxNNfG/IpCHXPHf04cBPUpLMqSJQHIETVWnLvo7pNaA8I57tlbBnB5281JB+vZ4YpghA4usWEciFDDfpG29v3LKFeUCPNYF0hjgKUmlFnxHQEBbLC4nSyJYydEEdH3/8giHEoJ00JrLC8tzqHvuVuseXH6horDzwNCM7z2uc9cgi6gjW6ZBhZ7DJ112TLbu527ZPVSu23NGLiijKJnV3cxFgkSmvCWBOKFnW8N+QjZKXlRCopvWazzbKwOWzbUaz8WQayDSQaSDTQKaBS9QAZk00bcpFWYIy6jBknz63NmSAR3YYj3h6gFcOlFSA4eygj3MBLweCOsfIdk+hTvx+6ti3HZOTJ+qL1m6WlBAjbwfnJiRGv0boGl5RiKs6BgM5snDwFi9Gjg5EGHCKMMyj4RzBder20Gls6WsVZWX38FKSDRdLPBGDOtGQpujUhbqAeldAquseMQx3dI3HbEbAr6u9Kdc6ZTulhDtnlNJlqVqyu2dLVms3bF0rMDu9jq10Vr0D+AnS2boyy+Y0KYIKdqvdYYp4tTO9cau3xgQgenZ7qW4HJ4P7pChQ4TKpLd4vMqMyd5EqApLxusuC0SS771Ru0rdEaQtQCQb5M+JrSDVugNdaLYRPTgrQAtAguA44e9HGL56ppJStXyC2xMDDGsKLA6+kSjgwcBqBbEaJsag88uR28GazlnK4PnPNbyGEplKRZz+Updl6aKvqpZ8Xr6cfVgSd6AwP57pAH4CM8nisa93imYV1FzeWU8bz9cjTy37051TiISHh2OTrGSWeyzg3gFrvG0c4FZM53A7swNs9rAliZw1vtzcIe62r0/V6y188MD7ArgNjZ5/WKEBXgFp9Ivel7HV5sNyxg+Jzc5nnh2fV7ONrFXuiUYqPmEpuDCpr/0vmqNkICX62k5qIcG1Jqy9pXzp9tlAGLp8tM5mNI9NApoFMA5kGMg1chQZKJZl0WJgiPFuTY2HbAezSYIBj/+A5xFYdGLKhxcbvIds+2k0J/w21ldDHHSNCWlSlz2eCorHtxvuGDjcXAsMawrMUk+6EppsMLlECXiVAY0AH1BYP/cfelyT2gWiNt5Lw3clKSaGoMfwQ4KKkIQJl9XLPDtTW7PikjG6FLp6VF+msAOaLSwqf7C7bQues9rUcs5tLR5wnX0VZsC6ZmJxaaFhbE1iXR6slXbfkaXlQ2WEflIHLvD5QrDmYWVE47PJaUyAhl4TEbjI2ErC0gxn5/O5z5U1jHD15PkMIbQRbABDCOJnTfTMDr1dfwPRJMvH05lqWzDFRT6wGiFKpg5tYtuG4ibjUgWf6FudMJ881Iajp5wAwCIDC89aRHjTd/mKhprEwHuoyLxCe/uV1efhUgFeRkGDA78nz63YOYK/yqryOTQG0rzyx5PMcALLGoXtnFzvueSQcFg9n2bczwcvL77DkSYzcm6m6x0+vOqgLPQ++nZ/uQwPwPbjPs+7PO0fVQ68hm27QCWX+pkhaYmwNoSO40YYj+oi6mtDzuVZrasx1++xD5+ze2/e6nLE31qKqmesnAux4b7ujEq+KwhjeNCMPfK8mkDlmDzbCb2G7trvpXkUAs0aCHznb8WZuRYB59KRHTM/WVrVuvPIMXN54c5ZJnGkg00CmgUwDmQZ2VAPYNXgL8nmMYsL/CgqRvAgQSEngRmjqmlM3LjkJtiJnW9JsfsYuyMhqdhvW6JWV4GOnjcnthYggc0sB+zdCmC6XaXCx1SAHvcqIFBh072ViawKmB/dDB/CcEKifTrKWxm7RJUBvWp5dQh731Vft/PiMvDqaOd37bGvW9sobOSeQTsDsumKdAWF4kDBa8VwCiMh22yyNa2/BEfNPdeaLPAHKRKo6C8t1m51URtKpkoNdl1Oy4QWVTy2IJa9lTt7LtuQ5p3978nsFQEKm2YAMVU1t1qpK2iKQxqbzbEGyJTHIzUg86L+YyFwWwKYAALUpwUZttiLmGkCHTHjV8E5CAMJVgWq/p/uEN7Lu8dxSzQEWIHm9rrWMGu+jT6/4/DPOhsK4AZRPnVt3kAovZEME2owpzHhMekFmQowP7dE2L3pRwFrg5bWGray37JZDU16PuQLoklBpWV7q2SntQZnKCgs/f1GBcCPEeHh+INdkWp9+HvTr6lEd1lKyB+YoATjjdi5+T20BnoBbXqy01S7+XgDf9Dk6Fzx3jANv+aWExY7KEK+9nyB2LHJPPrqs6FkHt/FZaCmUVrrbNSQ98Y6lUZMfVvLx7G9F+mlKR9TZqsaNV/4sGsqNp/xM4kwDmQYyDWQayDSwezSAIYRxSujfRuP1quQMNu+WLOYELhdsScCyZc1ew8Zsp8ClAJG8H27Z93sPht7xC5NWLchDONmwY2WFcgaztV9rq5MYFhvA5dYD8zvR2JeFiXHeAwxCqWaxHkckw2CnAk0xrvnQF+CUpEsz4wVrCZTktbdkc3zCKgqFHWtrx0t5xXq9STuvtWsAJNrJxlW/ShQEaknopsm8PWeiaQ/VS76+LZbfVWnSq695JVvpnDynsW/qINVqb809cn6trUy65YY8rwqzzZ21faX9AdQkdakDrQmQ0RaQlSbKRonxb1ZOPUAVGlLkrlMIiw3n8RudERJKMhsPafWjzqVT90DqHuV4KVscFQoLWCIEmLaPnVzRmHnJQtIm1okKHEv+isAB844e2wLU89PyJuqcz6o8eOcW63bT/skwRrV/+uyag9L56bId3jPpPM8t12xJgHFa2XfHlDAJog+8xGGLj8EckYgHgDY6RgAbchA2zRxzHamuNalxb8zxil7QEOKcus9pvCbEuCVgSWs8mJEAgwjLr5956N9RGX8b0NG6xovXMk2A3jSFsNhQMnovXe9Szu8bb9nzFC6LMH151BBQhk+VZ/x3T2mB4/DOLJfC+prW4WVQWTJVq11lXFaYMAKPECHxeT1b4Te/8f5I9RvmcviXfsOInQmaaSDTQKaBTAOZBjIN7IQGBEPERkBE3xhqHRmSGN6XS0PGqBo7hxE2eL1Cb8OGFEZvdzNX3uUKMVQ/dC6/kmTJ2aNnpm0hr63nwa3Y9kkC1Amdjog5xGX0YvuEPqnaWOJ9Cuca5pBiGDdAJmbkRDnBG6QZ4Vw8IiAIrHLaxkMGa0tmdb1u4y3t3K468rP5kFp5AcuCgGaxKW+TwE9b24h0xgWeABJ4MfO2b5LEL117mUA1hJhfFdAcUxnAq9oQWBX48X6dN5WC2HjbrB082r0C4KtpRXmZqesz6gNMQABDVmFI0KRQ6woblWxD3pdqJJWS5iMN8KCpih7UC/KukvmWsEuAo/ChzhmDsqyqzA32hBfSEXIK6AEQeuiprsc1ThIsXVhpupy3Hp52oEfds4tVO68+bto/ofWu4WXHwkpd62K7dkDrgmN4NABUabG8HXpDn+zFCSFDrAco9FBqlUWijPrR49gvl4zM1ahHkHE7H7WBF8AE4jlZqTYdrHI9NzXm0QecOyXzwjmAtUUIM2Vql6jIq/E3gGuOhHzHkOSy3HDSrNfhWYryEurN0zf6MgrWcdxsRXI1NKsXKrMBi2/Jpqjh6L9dRzwHY4o2qMqDOTEJQN8oIiA0gMuN927Ukgxc3qgzl8mdaSDTQKaBTAOZBnZAA6faM3aouKqkoy0ZhDIuZUOOGosX6wabCRPSzchRWxIDVIlBoAe7X7OpXsWOdmdNKzq9jK9cma00aChOvM6/YhrtPDB6qjplCxMCltuyjqPYrnO2vwiWblxCuWXtxHiPOukblt7Nxr4o4cOWIBjvjkFUMKX1bWNajOYATkx0S97WorxurOHr2oRCLJdLiwLMbavmV6W+RI/wU30Hld2SgmVnhSyKtiwGk70JbSGSrMVUvTvHgicqevjGCIkGXOhe+BJI1L/lhja9T9a/MR7453NFbX8y4+dUj8Q01uT1gyfP1ZQ8rkOU8GfMA1KP3mko6Z/6OEKZg0SBrFUBSwAl+wpioFfKALKSnwPA+ADcw7lAJdeqh7cP2SNA4lgToAYEj2v/zTL7g4gIDRcOc32HnjVe8cAz2hSIHZMnGaJv5OwDBPEGGEIx5JbzflkKXBJGHGShxoAAZtTv80xuoSvANTKcayzpHMCnUnlTV9l7MuE9K+9onxLdMVfUBVxy5rod6bxUCiDajwKRpWT7Fnh5a33VFRYciQy6PGGjIBgdo3sJJiDbn8XYbMeP0wq9Xpwaeb52vJcrY1hW3C7PUUv7x1aUHXb0zxtqkqr9eQxzdGX97KZWGbjcTbORyZJpINNApoFMA5kGnmEN1AU42JIEf1RB3isID5Bsbjd8veBSv9J2JNaoiHWGvdZKuJD9t5ZrWC3XtOneSByb9k1MA4vQ4HK+050P2tVbBVtpydzZwvasavsM7F9hhEsivF+QgxOUtAXBbvju5h2QlTOXQ9/BSwlgdAAkgAFYOCcPJeGVJFjyzLOyVJGA7LELq1ofpykrlTp2NL9H+WInNJaundAaSCaQf3iEe5rXRTvrOlis52yqoDV+8jjeUr5lSHqX14FBALEBjwTwlNNa3FxNc8Y8ifz5cGihLJ+Fm4f4xIuVKkCZbLdqq/FEffQ14TLG2snROw1gpn8nVQ+wSBjprJIaHdwjDyLy6gP/Pt9+w4ufOEBGNvWRBkklz2or3TGAhBzwUU9eQ//BqByACOE9hJABAAzfdEhofG7wrMbGsV66D3hA3EMe2CYq8XK2pTkvD+oj608pIdNS6E8e6l7jkN+n32m5tzkikevEGUgehcK2iWNOyoPEfrnhKw0svb4YIad7PWmv632zkwL3+vuBPkTogGeWNajer8rQAWXRk+kVd/hrSutw9XplVxJgEsxel/eS7LA8q2lyDO7zzDOTvnPjnmfg8sadu0zyTAOZBjINZBrINHDVGtDW9jJCZaCLUzEBDhi1GIwxvO+yO5GRhJ20nfG6gadAkMOD0Vf7GypuVRAts+FeW0KV69us4ax2AZddU4JHUeTB+TAfSrhPWCWEIY3hfzGKbJ/untSaUoWiqoAtQxS8ac/P3+FGdzfZ0gPjEu/ZvlnAgSTQPCwq4cuZxVpIsCPvn4Ng3SSkc3Ks50loJpv7PRHQBAvP1A7n5XGBSZcPOd2byYh0U9+r7RVb1fkt5QEoDENJBqRDGgzQ6lTtgrLDal9Krc2EnKXq3Ve6z6+Tln4eVKf1rvJcQngDXe5EYT7TMN2M+nWSmxrraFXPRqrbZNbtE+PUBaDq0oh6QWoAK6fpzKaAJuSM3kB4Ug1Kg0bGxjNBQqBIXFO3pfmL5H3oIg1gfW2iylLVYnXxVD966wGgS49pjxL8PKWtgkqNCcUaLHl9Ig2qtRDmPKHnZ5bYaZGLm+ivpXW5Adj6rWTkvFAq6Hd+cTjgfxP0YiOCaEB1SWuWeUbPKXx4Wc8pdVjD6gAzAZxcs8a1HJUXut/R75lKeCm2o0x3kJl7ogsC5mxPogCKNPEId/U3L/mJpm/dsOcXf5pu2KFlgmcayDSQaSDTQKaBTAOXqgESdpTY61JmZ1gbpr0Wt3L3bcZ0YEeP3BV4xcBNQMPITb90+CBg22PvxCsGl5FzggDcfBZollE3WQpJbqJrgP4I6IO2tnnTfCJvAZpknZtrapsxeQuATlLnaP6IPdx5xK/lP3KAGUGDHx1EoH3ARPBw9ITI9s5o3aQsUNb/NeWFnZ8q6loV9N+svJdsg1FraCsMZXutFAPAmc1N24tzc9I5qwHr9ridDgPoz5EykuYGmUK9mP5Vyz8pzEZDwEF3XUCCJD5a7wnltA1JrllWptrP2UtKL7JyL6zF5B78AEZxC5JxQlYFligPrQFNqMJ7pklCuhsqxAOVvF2swRGgxrpggM6oJyjNM+o33bZ/Tj/JsxaBnwNEhQtDeA6RmBDUSHiOKU2DNMBlWUgwJtOhLuCSvqNHjzL6AEwOgVWVh0dkVA/UB7AGj3ZfKarPus6Dc+N2UtuA5KV/Xkbc2n6+fbx5gm60HnTK+w6qDXruegIfPRvqplQuO5jllRKh3aRbausZQlbGig7CyyWVad7xPhMyTPnCuvZSTfTB+lu2V/FwX8lZVzh3JMZEX5BY+DyFq2vz/cIjLXtwMYT0Xpserp4rYdsrqx0l+QnPRp+jfms5/e3r6AVTssVo/9aNepKByxt15jK5Mw1kGsg0kGkg08AOaSDa2SUBMYxC7EIMy0ulDTXhkRiYOSVMyZFIp6P1etuSQul6O2mWIIDCR5UQ5CWTa0M9lwQglNbGy+o9JaVxEB3CG2PFYPRzFfjE8kJiAQJigo7So0/XjeWDspCZE6CtjzpY6S3bjEAgnqNWs+lAie0qAAYJ7vHJmJ4oakuPgq8NJIxun7KVwhXAsld7R55bbtnpWtUakwvak5Gsr2a3aVv6PVppOWHjdreunMQ4gq/P5x73erE8VBjImh73qpLF9DrqmPDWdmLEd0pWWTqghD49++rsE3agOGt7evOKFg1zWBPYQD+ME3DsnOk/dJR0m75SkSpFD87wHfQ1aMg6R7x16GlkegaVdBbHSmEaaFLO4+1Ja3QS+eCRjN3gbeLfACDqhYTKECTt4YS3htcHgvQD4KIuMsaQULytgM6h9cze2XD4LPwggChbkuAAHH4ytW2MvJfdsUnrjO+3o72b7bHl5T7fvDyRx8+s2rjCqOk7Pk8Aceaj09Vepjrqv3BMvJFgRtZjUp7WW5AmAES2YYk0Ozkub3nZx+meOR83Y3cVyaMeQKnreoDPY/N/eEfpZVzhEYpyt/GU95LnhZBuXsZstyfmjaSwnfwrfiONO5M100CmgUwDmQYyDWQaGNGAr9LCutd/A6N6pNKlXooHVO8pw6b+WbKek7Kz+XVb0BYhlVzFjhSOyLhinzrApQwtB17UcjGSL11giCc8udeniAYo2OR+RWlhZb/1QY9XU71NqvZZxhPaOfCIBTq6p0ZHyvHwBsHMdAnSAABAAElEQVRSFfqnQBMBlyifjrIvlXUzACzg1rnegs3klcxIbPICmKy97EuWCIgMcJqdKltzqT6UIIUqZQGtPfJunluScVqfsc7kedUeEOcJq1CYDMpBXDK40TEOxhRaLuS1XlPbnOSa8l6WY1isOCukuFiXpaxwv5NTKzY3t8dy8sDQqt4KoA2wQVKTrYi6/bsSxHuUjP0ybxh4RYAIqG6KfwT3eFbdCwdo0gfvGqCG+4AqB1N+LwBKr6O5I2yVOWzKK4cOAr+BpAB5eEOojU3vC/LYpcNiuYc8AE54UI+PirweHtaKLkhwwxYvwptDRF340YtO+0Q4KcAQ72VMMhRvlpRsaKYzaesXKvZ4dd2eOr/qt2hfVShyu13te3QT8V0fsX08AtLpFX0gx6TAIh5biSmPf0iGhFAAY3R0TiAWGpO39O5b9wpcht8W88J4w1GgWvxOnFmRV51MzQGYesN/4F9Fgcvmup4TOZHTW5PwvqqphD9jKdB5I6sqA5c38uxlsmcayDSQaSDTQKaBHdAABiDABwMT+JNTBtAY/kbJxYhm8NiMWF24Ztpr0nmHGoJIfo1J3W2GdWM9z3y5CYdUuw13dS/e3qp/QJxWgXlTjP9RUtBpUsTNyG201uAaQzvSpeiI2hjvbXV+tHNMYAaAE8IQAS6nOzXXNR4tByIkkklECfMhBjoZ01YeZd2ry5sFP/eiiSdVWWdHwp9eVd6sgrQ7Fjy1mww3iJ4w9vtbVOqB1kQAhtsnbraa9ns4sa79LMdmvLzEWj0BkHyrYp2xqpWW91hpmoQ/AmqSr0mWJEkHGK8olDNNAD/upsEcYwretaAvB4YCiRz9I5AWz9cVjknI7UPHl7yvdlJvM48b/QOi0keMed8mAvkFFhtNZV9dVsin+oiEigCEgLtIAGV4bfBcqix4CGkvYKzGvDBpC1wBHCuaN/iRXTX9zFBPTdU2hKymH7/J8ZKvWZV4DlrxHi+u1m1FaxurDbYDiVKRlTcAftZBlpP1kwDeiXGFzSocE8ITShnjRo6ilMB1Q8/Tk6dX/Lk6tHdMnvDNEc5jJxccLMLr1oPztn9Oe0tuQfxEeDb89yQ5eR52mtLj59zfianf3UzMd0nJh5r686efc594pmpK+PNsoQxcPltmMhtHpoFMA5kGMg1kGrhCDTzUPGBfN3bcDWCMYD7RY3OFLLdt5jYgX2l7SuGr7ubru/rcNB2qkmaKjJdKXbkKtNFKqnroWEGAVpNndSo32Q+TpVKaN+dpQ9aTsKgwhPulB0DDpIt+cRgkoPHUhaq3gR+lDiww+GVYesIbeaMAEqyhc+CYsKIeRGgpALKubTOqAkNTYwPrtCcv15yypwIUrD6vHUda9ljxjN1vUxpXaM8g+mLpfDo3YV1lD3XgTx3915Pu2Re00yH0FUBEW8CSAKyylN5ROWJfPpN4rwQYbz+4RxpU9tLVojUEanMSCZ8jAIqst+itrHGxRhR9sS6xqvWha7Wwrk8pThOZEn0mAnLwnpOxu66kG/QCuJ8a17pTude4jtli2WZE/zkgjOWAJz/XEa8j51Gf6qJPy+tNB5f+zNMngosApO6R7NcMXsqm9kCpsw9KSt6m5njN1yAC2BQ+Kh6Mea2mRDoOrtB/2Ed0cU3rJTXZhKHSJyGkZxbWw6CTvtZrbYHGlgNoAGo/DDi5z7gD0NWzrfmH9gjc33Z0xsal83IpbKuSqDBptfHAszetfTwb2jN1Ybmh56jiQDRdE/lPnA3zzvrSYwe1rc02hI593WlSh5cGmxHFF2phyxdwPWrqCvx6babBH4JELZwnxP2vntVvoY1HVfqmIiKl6sS6u+0IuG/U9SJFf+54HiGyyOJBRx8Xm6/dNp7N5MnA5WZaycoyDWQayDSQaSDTwD8gDax1k+ySev1PYh+Mt1HvzHbqcGNwpELaSOqfb1YxtvM4TYytYQuRK2+WbjtcJXBI3488dRQEEcDS5vaCQcNVwtV4bhwYJaAV1oT2+5Pxny8GL05ffvEjnI1rDMHohUrfp2s3ivudURmg1VPG16InZKE+IKxcDmsnY3t4OiFEikggw/6akwJ4awIdgMtp7UWZTmaDN4rw2DOLgns1hcdOLDD4AamTNNvn2CEBvTV7NHdcwgTPmvxZNl6Yk8dszPCc9VsgoITrOWgMQqo7B8VTAiOz05NW1ZpaPJQdycbSPDyLEJ4znqWltZatAJi0YUqjoP045QklkQnPG+xvLz3HxwOgKwoYAb4oB6gEsJici2c0yr2DTb4igIzHTaoMFUUvG97TSDwT9MO+o6fOrztAxDtZFeADLDWfXuk/l03tOQoAfPzk/8/em3VJlhx3fh57RGbkvlRV1tJd6AUECICgwGUo8czhnDM6I+lB0qMe9dX0AfSoN41EkSKHHJKgiAEBNLq6q7try32Lfdf/Z3494kZkZFZWdXVXVsO9OuLe69fd3NyuR7b9r5mb+T2JkAkWzyd7dZsHlKHPMwZwUjjno293VvfRXrlKl0ESKMdbHb0VuCyZYg0lF+eRrJlf7hsRt7VWddsr8y2PaZrpc+bOujlSehNyhwKQVxang+McnzeU/kTeByqDpVX3q/6K+zN8oS8pPDdLA8qyURtANOWXuwV3tiDJJuuSFEgvalofcqUGH/ck8x4u1PrPPmH9Qoe6dJGR/F0s/iWH5Kilkk3EzDpDJoPvyL7LCC7fxZUZeY4SiBKIEogSiBJ4gxLoJZobL9L5YEXA1RAlOg1gLh3S67Zzb0/phFzQdqoy6WZ7LpP7SdV1D1cMr6HI4RlcX+dTRBkeyD2VMqalQESCRlaX/jL3SgkJoIA1ib7XL1gpkw4m29BTXKqajwcbHKHvI7rmlBaDglvsqvZeHpy2BN6wJnrrpfGs9lj0Woogel4fuZ1BxdwewwhTx4RpABSDJpeC37I45gUyFIl0sVUwAGv3EqEwX9xypwt5FdV2hOloJPDYNzdPb61zbkng87TeFXAZuuPKc9evnLuerMXD4HarXoDAavEjz4tdy5VUwHu6IDcxkjAb5jzdxtPiHq2vW3imkK0LXD1RMBxzz9WPoCEQyPN4JnDpn4sHh9Dt9S+Cq3QU2TA2oHO2JIZGq2Zc5p/Mzp4ZdcsCeERjxeUZ+S7Iao2lknb8RgGb9PsysSiWCgWzgDZl2V5I+1zODj7nekXPiPHO9JxOBDKrerEA/VA+31XAIP09GAkxni9tukOtsS+PlWu0OXR/casjS6k9jdDcjuO/GxLck9Os+8vzijuW1bPfkWVyQlqLeqrbd/6CueO53OkoOndxIggsmuy7/C4E9Yng8ju/jOMEowSiBKIEogSiBK6WQFANs7IkYZHirTpv0TE4mAXi6u4X7050JinDGQvcExotZ5fdrcwtN+wchio7kotRo0uxn6qee5EiP/f+hcqZDjOXF5pfVYHiHxTndPqJdB/omwKtuQASA5BKEAqVqeaAhAQUWbVcJUEfqTZpCxyKf63Zs0+5iAttAqQgokIwFtorNEtqjMtP6VXIFtyPSj9wv+x84galtiv1swKEHb/Pkw2KagQ7Lbm6pudsI+qr3ZFLrOjAfqlUUuAhpSzRg8SFeK995DpNRcNdOXKFStP9af6PZdWTBRNwpgBG+8N9t6I1YYVBxDsy63Q7AtNFm0tyc9zGxKQr2qXLWE4JnfS9cE4P4ztU6IgMeaZYW88l2wCsIMMY3BOuV70ss5qXYgkZAFO1IvgqaI3aVOVaiospmIx6eOGcvkQD5Yir62mj4+5uLkq2HsAFq+yRXhgcnnfcxw9WlVJGg6lAN8zRn6sS2twUPZ7FoayKFNYYeN2nULGqa3/Bw9ZK2cAlLrodufwCailnetGwd+QDBhGhtq8Pa/tUwZxO9XLjfzvTSwDegYChJRccEPhsyoJ9Z+R5+0JRoI8SetD8XS85XjAJXPa0kApJsCuOXH8XyvX+8nwXZhrnECUQJRAlECUQJRAlcKUEAJc5ffQC3aw3fq+UqbKX9kMBny3pHgva2/dx7iMDHv5rtnVynUSTrcu9clnQyKxqlzR9peo0M6/U8fLGBHoR/FbUR+9q+7IhcFkFXBgsmBKYB5YBRAwU7WfqtmAEwMT6JezgRorb4nGtI+sZFr7J3ktcNk9qXUUnZY9m0uHKgxqKt4fFBwaGPi4+dF/0nrjRgqy450vuUNFpl2U1K2EJ05uGmvYmzgMvBMJhvydgR9DYHQskAa7Ya9lvlFx2sel+uPS+yykXZr3TNVfTpw2BzsKZ61RkFctoD+Og427lboGojGO++3rLUWBD2pwS5GQvIyQiL9/phrQxsaer51Syj5NHWpBJ6cO7K1L45aop2f7qMUFsBm5TeSXvFZT3VW32mwP3rDFwH2hvI2D00dNTt7Ox4G6tC3SJtudrMgeGDusD2Z0rMA9WSPbPpguRZOnvXWdnQGVoKEK2GjQp5FtrdrQv07viEsyH0pJJu5h/dXPgqvZrLi20zWV376jhbm0syqU553aP666rlx3It7yy5NpyWZ61XacdA5g5n46s7Ue5JbfRqqmvlwf8xeIlUCrL5bqhNaWXN6zRoiLJEtQHUU1Zdt9BgU2v7HdwApHlKIEogSiBKIEogSiBNyMBqbcWMCUoySi6VxWvSM+0CJq0qufen2keLu/m7rh9mUDOhzVZPGTJIjpMUiAZLIFo13CVGiY0mz6qgfVLatPn8/pnC8tu2DufpnHJlQd8gpeYdl9SzIIlRZs+jNtK7VWTXc4VZAFC3gPLISgrGW3RNvmoYC3j1J6EfRE5Vm3kwkh6iAAucVfdFxikdPTcTtpD7Z8ksApWNwLhXJTZk8yBW8utOPadMlo5W3LvFe67z9yX7sP1bbNeHp61LcIozxIAGaxq7KM8FpA9bSnaqiya3DNXaomE+TAHwO+SAg0tl9fcyamiBsvNtK159gCNeoWQ61TdVn7TnWV33e5wT+lpTt2t7LbbyK5BRECLaLFD229qE5v6EkP6z7C36r20/PekGQKbrZvwF9oFyyLXyBogxZEPBYtkkYBTKgBR8mMCLI/PWrqXd+va5+h/M9OgkB4Su9j09PzeTtbNpJ09a7XBBZaXOYDakSxb0KOEI+e09R//MNmniXxgEz6wFD/db7jKPR/Mhz7XLVhrN1dKcnvuK7iRQKZSmqwrn+oLWS35O0CgqZ/d0t7sBa07sfYPTe3TJPfpZUVoPU9oZGY/5+9IXvNbyiuCcqHv7hdm4GoidyPtxeA+7eT12kIvK3Q91B8DM5bqSM/GsCtr8ru1CRMXZwvIhPVS7rG8iGE9s7bmvSi5TMw3sT6Cy5v4VCJPUQJRAlECUQJRAm9BAgC4jKxIgjRS44hmmWh21+WF/knbRDe+bk9XzVXdXkZBaBTcY16h1gDmnJt2b049VfOpmR43dS+TS9z7LqGTrg5uk5a6AhHNGyQlOm7jeog4R1Iih6Z0K6F6v+06AgwDRW1dCPs7EVxATOrHPr6C9tOheOI6zBHQg7dqW6BuSW0AcezDJMDLgvZk7p+03Llixpzhqyh6gCfu2Uc0lnNSYFV3P7PlDjMtl08B+YoA5u+XPrI0GhvL2r+p1BdYQ2GrpEAyGtJKQ+Dj2WHTEsKnnzXgBxCFjAC/9GcvX+B7Uekxbq9XtOdMIOa0oyA/Hdcstmxux8r7ucqLhaQAtnqSDcGM0iIWKzav0C48gG5PVtuit9rRhj7hOGnrz9L1tGMMgJy9LwgTQtAqaYAHBoBoU/sz2Ut6Z6OSeiEj0KjbZvFPaBjAVB8AJkAf+aRfSgTa7Ks8IagPbSGiEu75K/9Nf6gRkfbwrG5AFTBS1EuJilxt67Jm4nr7qoF9oL61umBReL/Yrdl+072Tc83RB7raWF50O7ovezJN3f2i4J34/KuGnqV+sx+X++49cqAmvJ+Jj8fnTQOB27m++/PVptvMeRBpTZikpsJs+ITi5xeuJjKw8SbVdpYM5f6y+9euNVhz++2fuu4QHt+NUlmQq7T2R5MHlr9tbEHQcpcV893g/zIuI7i8TDKxPkogSiBKIEogSuB3SAK/7Nx2PyztCnQkKpuUHe8We4UQ0AqDhqfToCSmqq7oPH0Ld0/zCRtTmb7/0qs0L4GRyzrB4BVtDGRf1lf1WBwoV4LvFD8ozHQhv2VmKADBVJVLNKMQkbjCKlLKmB+sdQSYMf4SQfZ6iqMpGuaOqyP/CgJDgDeA5f5J0wDd1mrZQB2gk72AG0sK6iMrWE/XXbmstlV3LjfPIwE/QN5SZUmWwmUDMyI7LjaCNN1TRSIlyqsG1z0AjegmbphcAyBJTQHoxIWyIvfZ9ZVFAyik6zgU4D0TuCxJeWav6JLcecuJv+6h8kruC1zKxqY9lwoGRH5MzbeUlQUqYYZR+XS0p7NMhvkEdV0EXYBQWf4kO/Z/UvJY8jSHbOIuapXpL9FKxGu1WCSxwHrgN22Rs5cCa6vWLiPX4NHJiVltS9rzijsp/Ix5SnikMfRTYjV5AQRZN9Ze5+G+rSl1ICKvhEF3L4dAj7aJXLjVUbLEhtygKbwoKOg5VOVqS0qaXYF+opKuVpVWRPeuWyC/pvnwTD9/ce52T07tbwAUdjaWjG/GokCf38m/W/Ly9nNVhb8tazkWd+an4FKZjtvUS4u0RW7EYBTNLz0vXzn5DvdoPZZxcttLTyNr724lf+Teq/5H99nZ/6D3UxOvhwmlm3fG3PKy3vaSKLEE9fG5VhPZ3DyWr8VRBJfXElNsFCUQJRAlECUQJfDdlkBt4N3K0vujrgRPQRwpPQgFc0pjD23mHDP56lRj6yuAmRlOK/Z0HdNNxkoNOU155ob1U4uZ6jkVnsxlllEDO4GYmmLlolwlHxtTX3RDjwYYAn7KwpI95d1Ub4FNKZc6K0oWuUQhBnBaSY3HNYo1gX5MQRdB3GFJk7F7LCAhS+GG0kkEt0vOD8+U/kPWozvrC+PgLAA+3Fcb6lfX3r+aLFzQIcVJWUf2/TEnFFxyP+Ii6ec4YSZggrKU4jvrBbexpuA0ApfmKiweyccJYMCVdEeBa7bW2Ks4AUYo1FBbWihLJg3lGF1x9/K3BIJs1smznoznayffBjBEPxSjp2uL1JrQRvbIirpy7mLE39A3fcSq2Ja/JxFxZwsyCMCGdowOuLujvZbJe4apLkxlKF4y8JkIDJ4Aerw3CJF0kVOYSQBeNjX66IQ+gDCOzJMPhTZ1LL56jhT2irImyf15d6uq+zX3XACTPbibsjYC/F+l+LVFRGJPH2vwWV2WZlmYN+UCHF6ueG485fS51YwrJFPmGSaaMDK+nczpOvyFZx3a+q4Z937ugfti8JVVl5onrrW4GZrc+CMvf3AxL+iIg0Ii8hvP91UMRnB5lXTivSiBKIEogSiBKIHfEQl0E2tJXi6TVqQNovSgFF5b/5tRIK8SXSbnwWygbRYjwKUhvLHqmfCSUIL+zK0wRqi+ioXQJvS5ePQtAAem2gfmaBg6SyDZBFGMo8BeJDSuCd0w+PQFUgARRbkRYhXOM4quAZRjUDnuCQ+TYbHEUQLIgW4I6LMti2UAlrQBAJGy5MWR3GMFEteWSvYMSWXCZ1EpS0iRgWsro7Df70QBgrzrrn/mWNB49qEUtS+uIkDZrARAQ2AhWSsVMdRcUdXWQ6VUJ3XGokaBXw8OOEcOyscpMMS8iwIvgFLrn9Axl1gBuHFJmPHy8lLlnEJk2Qyo7WsUlHvG5OPpinYy5hgMij4gHL4LssBiiZ0tgacJN6Lj2bSm3Gdf5WQcTwFwznSolyDGha70Mbo00L1Or23gn2BDlIpQCZZE+KLsCGAulNvuuZ7/WePMPdiuGq8pNqzdZV/Pj87d04Mzu8163ZY1mhcNT/brArQ9vTRYkjV6MsPL6HwT9cgh/AbCcSe7MwaXtzf/2T1u/bffxNDfCE0M+XJMMADu05Hwuwtr8BsZ8hsnGsHlNy7iOECUQJRAlECUQJTAzZdA0GcT/dQyC/QAl2L9WkppIPAKU0VXnipc4yJ6RZntckXT17oVRr/AG9SSOZp1TpdXWS5nBwe4+UAuuiPi6XkQ6TPLns9UCeJMtwvPAmB4KtCIhem2LJMT18fQy4Og9SUfVRZARITSUOClKLfFormoZtxKVQGABC5tb6W5ZfqW4NlqSdZW7ZkrKZchvBwmLx84H3UUTXVUceUMLwo0tv/POhvfM/OEu3bXu1HStiTgiXWN1Coby7JkCmiiWJtyrQY9EaGP0TKqHmhxGgAX1mC7tu/X/yJqJ7hO+H9cAqgk5UsodaUTGep3sSnrMMGN6OO5DC380eQTFhFzolrXWHF5foDItD1R1TYnA5e+tREK8zRQpZpunzQvpEzpmJxoVBS4ZC1U5epMYT1syMLIHsxnB3X3WC6ut2VlNasjA11RoPvJV4dj6+rmyoL7g49uuX1ZyPfl5sx+Xl5K3NtatKjF8PWmSwCNabrpcYIs7L7kmLY15wsKQKVoxUOlsSnrZdWWAjEV2iP36JKow+kx3sq5ngfvX7RdWDkutZJ4ucaE0ovjrTD2+oNOfi2vTyP2jBKIEogSiBKIEogS+A5IAGCVIyqm9BuUZrMmcvIyBdI0568pAMZUOhJzi4Xea+qsdDN2XoNGNrGmMpN5lsSEspRBr/kBBAAgwVXyKpZtjxqy1J5CcwFNZEqfWaub8Q8TOkHXHM9JVUQpPZCCT91msseSpoE3f+6/idTalBus7XsU+JiA0EkrrJ/ktKQNiRJxsa0IiPa0n7OQ6bnVSrIHNOni07B4nguyOP519+/dz/J/6G7ntidEkzN4pACG2FuKvMZz0cmtzYL77KDhvtrzVlhcOC1qpvpcBjAAFgFoQLeDVq4yBhwmvLEEvVgCI9Zy/hf7DIGAAaxy5OUBdLH0cgQUHp42LVovVksDwpDjuY6Lt0ByeTA4cFvZTcMKWIJ5zjz24BGQQE7rGcDl1LxprE+Ym7cm42bq9CLAg3RcYokUu6w8mwDMdOGFwsOdZbcHMDxRBFiB+DtyVcZNFpqzBZfgJ/vnCrLkZUpU4od31iwQ1P3tJXtBsWd0uu7x84EB1nW9FCBQ1FXFz+2qFpN7U/OfVE+tB3gfc6/zsE08NL+7+reuOPgD92+0z3dBN/crOXdY1x7il7y4Cv2/7SOgstnQywZZz9l7PpBnA4DzXS0RXL6rTy7yHSUQJRAlECUQJfCGJcAL84KUMZRBgIDfa3bFIGmdetyMyrHqN66dPZmj26qJOJijANJ27lCzRHVt7VKNX86JJ0LGymeZkxTrsugNe245M4leGoZjbyJFeMH26AE2XzYOWylpn8ktjN1qAQ6hTPhOMW83/R4/TtkvieWIwEdbskwBiHzxfQzspLpDngAvB2cd7dHrmaUp6aCD8uzJHfZYIKXdIZiO9kkKdAAWCL7jx2pqf2bXLVdSRAMBqxq50ijnftN55G5XtsIdkwURcT1QkMVWoHVSAAae3pPc5664UXKFk6rcMBuuq4A6twV+igK4UwBCnQ0MmbwmMmNPJVcWHCYBrlYxHoGOk5HtTDRmq6jHLRaMyDOiwAtWTH4LC9qTylyQIVZWrHbsKbUOjCuaXhx8e/AHjUf9x+4ke+o+yH5PYN0HZeLFgh6j/bZYE1bUH2sy0/MyU23C55hXjcM+UgDm8Xlbz8W7DC+UigIiWbcsN+h5Lw+4d1s5Kxf1TF8cNd3nz2XFVLTedQXuYcx0Oao13Rd7J7ammdPD2+vaV7osGaid/sMauljG3bphPDzTMwOwQp9ot+mCLH3x7rqzY4W7s0eT5aTz7G27Rka0C6WQKbgf5X8YLs3qt6AgQgsKmgXj28WB+3fLLfd/nC8ojcqk36TD2z1DNuy37GnPL9MKa/DtcvX6o0dw+fqyiz2jBKIEogSiBKIEvnMS4M05ys5QW+vQ8bx15VUVMjTLy/uk9MKU/DSSgG2mf0W/VOtv4vRsNJ3nsqBdkfPAZRaEoIKSe13XWBR0A+ymOCdztPOXzCRpQyRT0o3wRG6tYeELyERyM0VevMzSkyINAF3SvkgC9AA0Fs09VhFkZaUiGBAWOrqVBaB25DqJFZaCNWpJ1rBaK+MWFMiFfaZhRGvAl40rV9n+iftN9zP3e8UPEIq3Jmq+HsaB1kQzPFaO6vcvvV+4ugLP3C3fc/duL7lHT08t6i18vadrYyNZKKErQ9JZq0SuqQrYYyldPOlx9FFrQgtfwtGujKfkxszBpyJh75uXB3sLeb45yY/fA1a9I+W1xNWUiKr+d6GxoYlFEiHqHJHkdP6o95lSdLTc00FTLxQy7t7orvE8Ev2hLFPQpgsl8Ih1m8ihVCNro53Q5NkOlB+U1o+eHVtfogpXy2UDv4DFywqgc0WRY7FuPtmvuSd7da2ltvv+gzUDz6Hfp89OLAUJ10SH/fjeugfRSQPWsFlD7yzbEbDKywkA94Pb1SnASsAjrPrqkrhfh1FefkwDx3RrZBYK56GdwhlZftTJPc58W8ZHZtv5gftRu+t+XrqZeT7KpYw7r/l1G8ElzyyWKIEogSiBKIEogSiBd1oCfVmgnvTW3IP8iRROWUVkDTBFfqLPXXN+QVW+pPkVt3GLNT/QOV2v6Hax9Ss1vth9UiNCXjtNdFUvDLPkJI1wlbxOAaDQGzBqIFAX6MpACX/UTV2jkBOtFZdkzvs6YkVckuUJhXprrTIDLD0YMcUbQuJ3pH6GWJCDPlitGrJOnmgvGgCTz56CvYTIqNy/I+tTmCrz4RwLJukujlqK+rrYsAio3PPFOHd9xhNgaozIaSjA1yPVfSjiw4oCAY3asktr/6ZSjzzqf2bAUqhNoDXrFuTW+eG9Ffel8ivCIyK9t7ngp5AQCylGYMxAq+on48ycaz8p3BXT++ysX+Dr4hFQzZwHgDvJEcBEIeUL4+Be3FIqljvr5UROk9EDyGG2gMyj4ak7HJ0orUpFz6/vvuo+cY8HX6hfxpWHm26z/54B1QW5azqteV6qjHBHL3RlHWW/JKDWW2/hgZHI4cnAX+6d+3yYqqvIagnA3F4LPNF6foEGQYPuyb2V58+LhV88OtB11VKWPH5xov2ZPojP8qJynb6/rRcM821QrGX2+lbkNvtkv6G0Nz17dljCb6mewEItrTfWOpFlsXa+mcIs/JoKMp9Hl+fIT4ESQCjt/+Ru1z05zLuDG7ihEYNqsah0OB395rUG/VO3KbxzX/NXzTs3jchwlECUQJRAlECUQJTA15EA78zbQ+/aJn3VdDgUtLGSpipUu9cqSceX90+Uqjfkuvby8V4ymykCibaqLpaHMukKQAMsBllNgCMg0iu31OF6il58Wu8aODGQqQYov95eMc0LQ+M2CZDFRfNQEUK3tSeRIDihBI4Y24pp1TrjGJRwPTVcPrdWK2atOpTFCksW0T9RuIkei7XwTPsuq9pHSMCZ8KABCUSa3TtuuXou7xZL3prnB/Nza8o6xww+737lHhYeOCUmsfGD6GCtPqq7zwafu/ao49bkZnw4OJQ1T5PTx+YvAM0+QNxNnymFxrl4+UJ7PrdXCwImk/navGyySMyDdT9XzzLWR+aUE69++mPBGMtcBb7CHMIREMQ9XhYgD8Al10sL2m+pIzk7CeBTXfCWL+r8c0vG0LgAS141HI2ObCB46Q0AhfpP55RBoelO+ruStwBXze/BdAKWQ1mHMyPJuLNlLqcri1gkvZreN4ulAK6A/rMDb13HFRur5ZL4IRjSdQvPnhcJZeUkfX7Ycl8J0O+Xm+6z54dGAsD4IwHL1erVNJkPeTQJCoVsDs/ableWTAIeba2W7MizxaK6IJpvoiDCsNahHUqQbbieOiZyD3X/Yb3l/rJWcU97qXUVbr7lIwG0Oh2iCU/m9pZZeq3h38zTfq2hY6cogSiBKIEogSiBKIGbIgHUmX7i+Mi+S8KFAICwnr1umdHrXk5G42K5BIy9fBfjfHJehZ9/77Ja9FSmmRnIBXIg1Ui5Nqv9FSG7oixQsvAJMZDLEYsgbUPyeugdnrEvERdNAQvuU6mv5EwXcicdM6UIqAKKBQE6wAyWIWEEA6tco/gHRZkuyI/jnpR3+lUECKzCBtGNpBh507xVkfQZimncMY2GvkgdwV67Pe3ZZO8gyjkBW27JEtpSvsTjWtd1BOhwnYQ8IAtgy5gr2s9HdNoec0zGZn7IY7mw6I46snjp2f1j+1/chltyD7L33Upu2ei0JL9Hg8+0shQoKFNx+wpyYwGMYEygcnd44E773mJWzS+5uxvvuSei2xKQwpBm+f8E6oyYvpjr+BsamgepTJg4/CI/z2IQUiIQHpz1tcNYzlanewW9UUH+PEfyfxLoCAtdVXsJa8oJilsxVj6sfgkz/lkYR54m3+zdPXFnnj5DW3sCVcG59tUJXPbyAEl4V27RfsWVBosu21XU317ZAjY9P2iqpXdBhWuCK/GbeHHccGfihVLRnEtCI95q6WnbjWt8Ma+N5YpAX8E9VXqRTwUssT4y//e1z/L2+tI1qPgmAEdyaxL06Kn4PpfsoKVHa4VUNKztN1XC7yMNLjkP9WGc2etQX9U6/XFWkZGHZdewt2jhzts/8jKJvweW6xL5sdTewRLB5Tv40CLLUQJRAlECUQJRAt+kBIq46KmYWybI6jI3MnTGoMPTIVXQ+1+5aL8nAX3M+pd0HpMfnwSqvmJcrRM4JU0E/fWf+Pf758xKqAoU3rCnzteBb2jr+5QHd+yaEQDXbbl5qgeXrqb5kCoDBXAg4GEghnE0HmksyqoH3KC4hw86NeCCvXS4un61VzNLYFXWMCuJkIKoxnPhpl14cB/cYkMeQ/AM86Mfew0Z1woHq/RzhUeLeqs6qgEP9DNlHICxIidVWZ74AAIOZH2qNRvJ2Np3KWtiqUDwF2/RPJEQzlte4z0ddtx/6jxzCwNZuwXGJQl3rL2XudzAtWVlzfazbj277vZG+64gi1w2q4/+VbPLrq82/REABEfZgVyxH7i1rPb/MYlyxt3fWlBgmYZAfN+dyrq3seKjtY7Xms3Rs1kukcKECl/SoCOpGc8ntOE42w4S7K8k/c6RgDb384lcSMNRKhZsD2qArtBI2ODUCrP5p/4/Wz0uqJ2R9rmKBs8IYxQysv9YN/rH/mZXabpuXjlGRSHTU77PloDdyQbN7NMlCaLOeAHw9LBmv0ki9i5VvIWY9CCsixVZnS8DVMbcnC9S1GSVWqbd9YCVlx3rSxVbv3OaX1rFugKskrLlqdxkiT4c5Ov3+F7a9bVvhN/f6xB4b2ngtuTi3JgTPOx16L2pPrYGzaCqfcsK7lPSb+FdLBFcvotPLfIcJRAlECUQJRAl8A1KIJ/34BIFMewpnKfmzCrXY5Z0w0CMlGKOFGgB7oKCDQCjAARtj+FoIEDi1ZKa0mI0lVsRBdIAiGgAdI1GonUHOnaZGgOaNjZfGsIAFpWc658BP50DSEh7wRHAaIq5ujAOSl4AiNyHVRR4o6XzrlxKj4/OjG8sN7e05y1dGHpc1F7/Ge/QNL65ySBJoTlX1i5UJkfcac1quTqtskHHK/DQ5Hl5KszRnwJo+wI3Ah3cFVPH2s/YllWJeazL3TXtrogL5m2lSSHVCWCBcqT2WPBwwSStCTI42vP75/K9BXer/jHmbsmq7uqLB65VOnPHg7qA4sgpy6L2Hh4rJFJOIEtRVocNBVXZcnnlxOxl+m4jt64WRXdPVk6bRxCajrhs3t+suCeKRnosN+KKkPtiyYNagBrup+GozjZ7+PVc+2+urehypibcuXBkfsyXNU8fwBLywmr58E7V1gudwvMyAqmL3w4emWwZcZSR5VP/itq7vJxb0kuNvjsYHiaPRnNgXQnM2azMDVxgVvN8UNwWuPVpYwYyYQ0Tl1gC8dQTqyXAEiC4LaszaU2+UoCeDeXdJJorgPG65fC86X791b7Nl7ne3VyTa2tLwGaovZOKMJu45V6X3qKCQn1wd8X95qtT8dqxbkd6YYGFPL3WrkvvZe2Qof8NvKzlxfv/3UbL/Z/nFfeoO/27utjy26sJf19IB9RWbs4ILr892ceRogSiBKIEogSiBKIEviEJoOcW89KYdURvBmylCxgAKwq1nPt8gB4kAhSD1TBYC62h2vp7HuRQF8AlNFDmURJzo6oNyr5E3MOwqAGWwDqmjAsFSv+fAETd8ODQIJXxzJl0Ttj3Ry7s3LexS7vv29nNC18JAephcKZ4gCrwpvq+XBbT5WJrf9dAqvhFLlbSdFGSA5FUPadtyRo5zIIGZjXOQxr6wjYThJgRFF0h+oyEyR7CE1mUkMyCAvUQPdSX8ciWioQ9mBT4xJ2RZ41rLONxJMgPBeDBHsmsXDP3Tsty7+y5ckXAO9eVm2sLY6ZbHJXdeablugKTPP+C8i10FbEzr4A79zI7TnBV4gXMekBka4c3ECoV7bXcWs673dOeUl90BHxKti/TbvIlejZNhMQHDmEySFJyCJeTGfo2Vk9TlaSnnReZb9u7OLN4ePlwWvcpXJYU5MaGSehPaNLVU7ydve3OBTAXswLe2S1rmc/k3OpwRcGOem59uOE+Gz4W4JclVmshr/m/n3uQsCxwqeu8gicdDM9sXYdouGdyNf1q/8zokdNyqSIQKZfWLUUNJm3Lqe5b/klZegm0gxXzZeW81XE//+0L28dJROGffnhbYHXJYaXFGtqQHIjau5Tk+HwZvXCfFxOkiKEAWAHmXaU/uSWXbKybLM83WWy9vybBv6i23Pn+gtvX/G9KwVOXvZetpn63sqzae4ebwtw1+bg5cP2aDMdmUQJRAlECUQJRAlEC34wEasOSa+qzUPRWB0Y5E9DDMzakrADQtEnUF8q0lh1qdfRqO8okb+IDuCI6qPRPARXZtHRi1jxp7QTJ6fQGlm5jS5ZAQExQRL0+OqOV6jJdk2YjXZ9i6Pqn1yDAHCjdGXCZYA9/M/XtAamkkmY03KeSyc7cI1hQQ+AOWQQwHrqgVOelhfblNgkwNysl0VHhywQHMSn6AonnsiJhQWKPJDk61ywnIpRmBkwxx75Iguycy4oMsA3BZehF4XkBUosCSo2WAuB0ZIcs1xSbpuiKAj4NAcyzofYOGj9SmGXBbCtyakkAcyCZ/ar7K/eT/I8VTVW8y8pXUoqIrNbWSHRDWg/28W1o7e0ed7Quuu72qkCA6JVsjyWyJFBSW9cAZT/fMdjQPZudZAELvqjG/ycRJYA+tFMDLJdYAik8X854vu8pzYZwpkqwFnOuMkVbOUVzq+4Pcz9V26xg4gQwd/r+97SV3XSr2VXPj+YFZ7mRnpkGwgX4XEDsrI5FfKhn7t3Dkc8nT47NogzPWC2R/Wq1oOeDu7DyTwq0kSLl+WHd/fbJqXuwveg2FfwpWKA9s5Nv5vRfPtsX8GubHD64u6HovCu2xthXyrPGav35s1N3R3lHCQbF7/c6hf3I4e/D7Q3P1+PnZ+7xC1letdf3/dsX88Zeh+430YYXVT9Z7rr/q16xlyHfxBivSpP3LHhS8I6FtZhTMK53rURw+a49schvlECUQJRAlECUwDckgY7elPe8o54pk+ZyJsUX6xzgBmUVywmWDnRNLGpYuLhHlFFApAFG3aMO68yrqEZDWbFMh9WYlynGl039Vca5jMaF+hTYSt8T/LH5Uccez1AmZ6FmcmReKOgm00n1zNk0BVxUkW+wFs409peiydyz0kr7sh4CQEwW0lDVXSChZ6lMGJdnsipgCVi0kfii8fjCk+Qb6EWeS9xE9wVMN0clWSsngN/aaCz2PFYrsq62K67Z132toFxbQYCKi3qIcquW0+p5rykAOVIC+67mo/2dWmMD0ZcDpoL8+JyRBhLlwst+wiAj1sB6NS93Xs1BAY06yoFarXirHG3Ch74F3H/Vd2yDCnJIgccx8BTzYQzmEQqW2nG9xmZMLHeLehEyLqKrRuPL9AmiLFkKHy9Sew4m3El7cqd6ofueWJafH7YVUKkj4J3Tnly/t1PDa5iMRWI9Ui5JCq6wZQFr5LIpF1hYoXDEkvxQwG3/tClLb9M15U59W3lLsR4mzawt6+mz5ycC7DW73l5dVL/V8XpmjUKbCLTP5JZMBNiWgO+dzap+91pbYVDrffHr5FwvMSQfgPqyItkCVD+6v6aUJXXlMW3JEj5w9wVg4fdltC5Sf/M1Hy70FX5JVtxmUWsyLak3P9Z1KPJ3tK1nVFBakq72XVYiuLyO2GKbKIEogSiBKIEogSiBmygBcl32kiAXQfErSknckfXiKp1yDjZ5rekBi/gX8i++FpE30ekS8BBIk2piKGsbJbgA2sUEQ9glX2l1FbAtvXF+mamHBSxABNopKVLtbLHm+sor7QY8ZAXeBlgH1QcA0VG+SfIysp+VZ8m+N9wlFwSWgD7jKYZxwzEZiOetdwW2N5OHf1LDQgr4mnASwF2xINCXX3CD2qbrLJy4UaEhi6l4zxXMUrldKCv9yKl73tnVLsui4smWXUHuop8p3+WP8r9vBLEzdpTLkdyUpBShWFRZDciYACpyUSLRp4OnolBxa/rn50IAFHJ4ShZqVxAN25dpRFhRvsB6OE+qpg4AIubNeESF7Whv7Yr2mnYlQ9KQMF/rT6NUMdfjmbrw+wmjm9ggrHZmmU36A2BJ37Gt9B3r2jcJD6Ew3kld+UF15MVAtVySHLBaFs3yH9qFI1bpHYFAnvX+Sds9fl4TwKy4Fb0k4MUPBVD52bMjc6nmZcEP39scA/ZAhyP8Y7UEHL5QKprPnp3JtbUsq7cCKImXeYV1dyJPBwqWVPihGPC9s6SXBAUDq9DCfZecmDeh/Gyh6w7rOfdYQafedsENluWfF6jsC1y6myGiVxLL25fiK7EbG0cJRAlECUQJRAlECXxTEhBEUeARWSWl06DM45YVAukEZXne2KiapjzP3Jyvgs40Sl2in/PBFfCmFjjbHx26noLfyF44dqOcxzFzmRSBClUAGHxJ36Qu1Pu7AAr2O5qVcfqWtaWKfHgtASCC/uDqyLPyeTc9OcYCVOBCifUTcCbbkTscHrm72R1xn9UewZo7Ghy79wvv+U76psAmwAhr3oaixZ5m/Z7NpnjyRaBP4+EujUVtsVp3LSnomfPbrl86d73FY4Fd2cFFiD2fzG+goE197b/MCFgCJtujttsb7Lrt7C27D7/QC/kqkVefADsah72gAO3Ph5+758Ndl1cE2t/LfeSWM0oZQ1Ff8kFmEo9tA5hJvQX/Cec6zlvL1E3Va/5Y5gmCVGv63I3L2nfJPkxf/HHqGYeLcExaTh3E55gf3QCQ8eirAnGFBACG9jzLpgIKqYvu5Sz9CPfIL3lVWdN90ozsK3UJwX6I9nt7oyr5DN2/frFvNAGpP/neLVkpZWG+pPA3YI08lQKhu0d1WTKDFXPRQO5st5ZebIT8qeQntZypSSOssuTXxB2elCVYMutyoeXFFe69b7v8Nyva13qilxNvnxUPLHtKW6T3V6yPy8D825bZZePfABFexlqsjxKIEogSiBKIEogSeFsSyKJES1EHsAAyi5dYK94kf0HBlw58I4t0/KSg8PkopWMr6+SmtZnCF8kF8zMsIfME+6qsS9IvQJZQBxCQ2E2x93Ue6DelkNflptjV/lTA5QSsBt48QBdSMkV+S+lGMMg86jx2J91jt1ZcVcOR+3T4yNW0L5K9kIIBokOEVA9+jV19MS58BXdaKr6SlY0C4KEPIJhgNbXMiSsuSS5y28zWV1zutOJ6VVnISnULKjSUvIig2tc/LLiLmUUB2zPXEsAEaIbSk2sve0k9tJX1Vho2c2znGu7n7rHG83xuFTYt1cmU5Tgh0leUVSKt4rJrgFH904AOelNA0iZMFGA564oVLln3D+W+ybLHnfML7RlcXtS+T1kCl+Sam3TxI+oiPL8wj3BkHAtkZClFktqEH66QH2sBS5WtCBOFp4b1uamXBxSALq7PjLuqSL9XFcbkpcQDucmWz1ruhdxbG60z9+LkxCyh9P3w3obcU1kLVxfGM1q3lpXTtSVg2ND6k2urgjmx59Zz6mmQHxTZsl6wis4DRQBjwOpXe+fm8ovV9uGdZblgT9O6mqvJXdK//N/dv3I7Cqb0e/nvi580R5N2l53xvBF5pTB0//NG0/3vZ2/fVJiXJ0C/xjrXOiQa88vjM102vbdSH8HlWxF7HDRKIEogSiBKIErgZksACw0Obii/AJ0QRXQe16YPz7vxinUosihUWK9udIFJzLsqKNMoqFOF+6EwKRXaANewwuFu2ZFFDsskssUFE/dDFGw03Z7qzhRIh8A3NaWfOD4fWkAX2kIojAeIQIHnyHPC0oSFqCQr35JcYLEcPevvui9bT2RBlOUvW3I17X80fvQFZ4JhysE4cI/konond1uWT4EyRXnNC/EAZkZyNWUKIqUIswVzcaQ/oBoXXCLElnJl9175gaLEnihabM818jXXbVRcrr4jwHbiOpVTjeL/KV6UOxWoXFCf5eyK0lqKQKowl67cY3FxxQmVYEGUnYU198OSLJzJ5IvaY4nsadsnOmn6GageMDnei6lzLHXjJkxIbRiL4r8VvEoy99fa67lc1F5LD+YI6MPc2fuJJRA3T9J+cOTZTRdPLYzFFdFwC9p/CnAeF3hUIwAtsmwIZPX0ssCeqTrBGsCLHKcU9jkzX0DmxTHHVC+cLAsI91YGCgp06Eg9Aj+3N5bdxwKXr1JYZ0SnZQ/ns8OG+2K37rbkJrsusAg/rD+C+TAnLLDkSIXfeYW/LR/srNhe1v3Ttnv09FTRgBcEmiu2duf1uazur04f6Q1MxqzZxUFRluxlR+CkUA4bcvXXEtJ2XXOZlrHeHnjy6N2p8rZ+epSXB4Cs+otyi+YneAPQEXsueXmEW/vrwe4ggW//eAPE9+1POo4YJRAlECUQJRAlECVwtQTyWVkh0MSkH2LFubLM3kY5vrLD/JtYHVCuXzre/O7ffO14nuIzwRQ9KX/BFRBlGlws2GBKNgo3+jUfADNAgbntC1iirLO/DoBCRFZAZLtbcmUBQ65xd0X2Z5aQ3k8N2fChH2AfEImrK4+HPuSuxO1QOMqKqt2T3lM9RfXJSmvmqcBTuBs0bFUPBZafDV8IaPbcQ/e+WTQ9OADweIKMBb+UljT2pwctV1OeQNxuyWO4ll8XLwMF6Wm4c1kaW0o74lrLLleruLa61SsH5ubaznXcMCf3V+NsslIsImnCE0AMkN2Qyy/zXRZYDvNHniHwT1GRYjMCmD1ZKidzE4PMU7S62osJSB4I8LCfM12gw3AcCZ6ECyoF+YSAOZzTYFXjL8pS1xTgOzrvuicCmVXtX11X4Bt4G5fJdMZVnJg1lntGUGLRWjjTfspj7WUtyFJ72mDhEObIv9BB9vVW29yd6c8cKKXi9ByscuaLNcZ6IjorgPn4rC6LpX+pwFgrC9ofm7gPz3S98hL2mWtRwPFI6Ur2lBOzpRQ3W9o7ybNpdvyLgKIA6GXg8snwibuv3KYU9lwuCvzuKf0JoP1UvN6Vm+yVAays5+Rrv/Ej/RaX3Ub5E/fF4Cu7cWvwgSIkv+eGpaJ7fp7VnlkFZxJ/fa1fA5dazuxtHJebE8B2zBLgsifXWJ5TyOs6vnnDTyK4vOEPKLIXJRAlECUQJRAl8G1K4Gig1AO5mvLnKULlyLuIDfQG/VVKWm97lX5mhZPiZ/vQXqXjK7Y10CcFHFDGx/YO2rl3wQRseCMhbdgrKKCC7p/0KfTXpfgBRHzwnKfaP2bBZ4AG+g9FO1gUMWzZtepwB9WlReIsJ1YxLFZYJAFWDQGCM2PIg1JVqW8CJKXQY0krKriPKOmGMwso1i0/pnetpA/8c/RFgXC0x5H0GMBKnO0ALmoy7septdcXFk66wvN08dehmj2Ct5W7kJgje8dtuVgKFJSLZi2sZrWPrqD0Dvmhe1bYd71m2W2035eVVPsXS8c+YgnkjAmbimdAxG1uDKxzwDiuoWsCzT6Yj68PjJtcJa+crJy4wgImbfL0pzBP1Q0VXIg5dwTwSVsyntn4RIFozpWbE9mrEFgHsMw41gS6KuTBLMpSRxTdWqur9Cgd96msbgTYsUjJetgWNVnonr2qeY4Cxlh9fSRlv/eUiKrPFYWV0Qjkg6so64Xnxnrze52JIjtSOxt6bK00tnzVhW9S+eDCS/ogXnhAi7FPGorWm3gDfHxfVj3tq36s3JM7Wz735AVCL6koJ/snsbY/O2y6s6dnPvCRnhWFdZrebxnI/UPvn1xzpP2WmecWyGk5UzWAvqBgP88Pc8qX2tT66bu7crkF3L+s/PxZUS8xim7Y/cAW0UbpE8l05Hazj91RruJO2g/10F5G5Wbe15ZZx/sGLV2/pP0SvJnMznAVweWMQOJllECUQJRAlECUwO+yBGrKU4hK7WNsSNWXUtNPFNNryeVrKkF0B8ShaCcQiBP+82V87mvAA7iOAR4ABwBBFDKUafg2OrRJ9gcasKJSMM8Ao865GrOtE875YB1j/ij+gD/OUZpXclXXzB2qBWVkeSNJah/asV+V9v7at+K7pb1qpIoAeODCSlqGA1mAGGtRLrFYxYg8St+qopQuC8RUEhAaqARgCPDCTRN+ABEALeiMZaarjlJ/WM7FjNewbRel9j1aG006HEG8gsmq8OA6AEvmCzALVjPPA6NIJrrJ3r+8QORvBbCsTvKqyE+2rz6Ab3jNCWBmKh036AiADeXgp2eEFZexbXx1BMjDvAFx0LdoD1XZUbRbgr3cWS+prX8mOtheSmhTkHE+w55RuX8ypursjr9tbcIXfbCI4lLLGH4m/u5xrWtrhasFZC66npAqEEQyHvcBugTNAWSeKOAPFkKCKvWVxxMX12B5DzzSnbXEs2BQ3Hjpv7WqmLdCi6GdP8q12bTznDsTeKMvfPCbkKlX11T4wji8mGhqD+6eQGVdLyeggaUXQL6qQD6//vJAQNOnqPlwZ9394MGGrgeKGtu0faT0JY8l7tSXlfSYoQ1yJ9gPbrLPjxoGamER9pa0dkOxOVEpvv4o/zP3t72/c61hy/1D9x/dnxb+WFGDZeWUu/b9WwKa6vd0v2HAty6L6M5W1VxsU1MOZCVrWeurCqjVQx6KZtz5ntyzj91ifl886Dektf+uWfzGk9MJL0UK7L3ENVZm1sufTrrXzTiP4PJmPIfIRZRAlECUQJRAlMCNkEBrmFYNCM5BvsQ5mnqaW/S7pImd6hylkip08sm56pJ2Vmf36OrrUZSx2jDegYKHGPgTDUBjoGHD0s9O+JrQ9FXcUa5FfQMCwAg5uUMeZ05dT5FKrafq7uUULVXKvoEyXZu9Tkeu6YNCC/ywo7/w5PXdHfbcC7kzuppXogEIBDeh0PSyQkoR5NmVSymAGGBJKQnMnFsKB4FEDc4eNvIMAhImxc8Y/pAFAIGyKcsXVjFADYDVBAMPan7UP3YV7W2kAECZpVHU/Z7mYFaykbd8dvtdt16QfyB7SXXfzwNCHmCO04NYjb6sjZcPVSY3zY1RijpyQvTWJQFxGdQke/ItCrTpH8AROSj5pQD2yD1VHkeeNa6+ZbkD4nbZFug5bfTl6otcPR+MQ2FfKHVGQ2fsp8yQ51JMB/dY2oUCT1DgPmf+GO7Cg9K26MNt7hHAxka09tbR6pF7KJyxd3B7rWIfrpmDHqvJFdkKQ+vc5yoFUPt1zDxz9uIgkA80jQEuRAPZqbeNS0VXVsGS5gigJGIvgZ1qAmDnja65zhKxd2PF5yJlvy1r4ddfHgr4nRvZnY0l9/sPt23tACQJyFNVRNc9WV8tJ6bmAVi+wBPspOYNe+mCrO6JFi9KALfWP5EBLyCsqD/yQUB/mP+J+9f+b9z56Nz9fe8f3IpcWgnEo8yX5npc3MkpMm3Dfhu4Dt9Rrs5lgv2IVvq57bby7rfn+lslA+dK4SvJmANn3gAAQABJREFUWWlvcpqr/jHWYmbPtbIbspRO9l8aL+/QF17cXXmWs46S7DzvBPfp/4O8EwxHJqMEogSiBKIEogSiBL45CfQNlqHIeUWbI+kgAEQozOiZAeyBOX2dFGmde7fRiRsp7UIfUy9pI9ZROU1RZIzknCMXtKcR4MtbpcSLwBO4ySyBOglWQeMx6YdS6U9lFet1PP8ihAUgly+7k4z2+cktM2nujjK77mH2Pbt+1S9GMstW0pF5XqcwZxT701rH9hOitANMsXpxDuhgrxqusliWsCihvPvCqH4c5k+AF2dpPWQRk0z455041Yb/BBJ38rfcqlt258OaOxgo/6TGwM2WfZF9LJj6+J6SafKP6JsmS4SbFIBRAJehbvaYVv49GPEvJpbzy+64VxNNDG8TsJxFWxborDe1R1PPemUxrzXGXkHxVpcFV7xuLhcUSOci4DEAKXphTKhiXcUiSfCcbgicIxoU/22nti7sTPODJ/Z17iplh3cbRa4EownqsdpMxGDj0dfkaEQmXzTDYs3TCntUpzonvEx6XH42GCiYE+ASVJGUtsBlVTRsP27nTLLCopwx4HV/uWrrBndV+GW+X+2duce7ckFWWVooue/f30i5qvrf1vqyLJbaw3kga/rjF+cGkglUhAxepZD/lJcbFNYlqUZu6W8GL0jG8kvmL1unUsh87H7Z/5VTYhNbm7Wh9q/mfEoUrMb35GK9LCsmqU/gCwvvXeXv9OvXP5B/Oii4YdWf94cL2itccQe1H7s7Sz/XmENXXtB8hr9wv5/9M3fYz7p/aclle2qj5avM8O20zVkEYb1wk/USK+a7UsKv513hN/IZJRAlECUQJRAlECXwLUgAVQYQwxEryRcvUpEuk/FR7gPg4xyQg0EKixLYwZTUodxARSRXXFQ9e//8fdqFPkEBRf/cPWm6ugJ7bEqhnM37d9W0xwACQOuNemru+bd+WCnVCBhFaY1kNWRg6zjubfeu9QWxpKTB5RhDiLT+myoMh9JMVE2UcQKftAUSOEdmzJmCmyXFA8yyguh4q6hVJl+krgDMY8EkpyOjWTqRsTD91CqKxlrJLbg7+dvu0eBz11D6EUpO+zCBezCJ1TYjxXskQLCtSJtFC/5jzfQ1O4t0/cV7HQXQsSI+uJtX+M1qZsGdgSS1n3NcTH5qITESxGhrzc+d+1jnenqZUZaldyLlpGdSAdAIYIMXCAbGpIRzm3VlhWN4INYv6Zzwxq1zpc84ldWYcy1fyVJrVM9iTCMZNn3oydr7172/dT/If+zuKAWGL8mY6YYMF6oDT4GfVLswFi7RHQUnogBQV5cW3Npi2R0oymtPrrQA4J4iCGORZ18iLx+wciMHislExxeyVv7i8z0DoNz/+O6G3HDL43bWWF+MS1CixfKy3Gqb6tfU2uy7B7eWXglgthQIif2elPuKrNvU+n2mlCVYWB8onUt4VtZAXwsyN/5J4WcChH33N/2/U41/luE+rt4Ep8Ll9ksF+oFWXblG31fKEoJYMdvmUtb9T0tNt9vLur9veetkR9bPT2v/vdto/sZt3P5MQawa7rfuP2oRiq8lT/2r+r/Vc8adXBbf+pIsg5ILfsg3cG8mfyOz+p13tf298vItqEF8b/0YweVbfwSRgSiBKIEogSiBKIEbKAEUcCk3pnQnwAc3QMAkSim6soFPO/dtU9BhPKFBu27nWSlwGQM041sXTgJNUzZlCEljkdCYNo1Rw52NzqQPFt1mknYg6PCzxgnPq+6ikY5v+tZ8W9W4PozilfVwNXuEZilXSOygWFm91QbesMLklTygnLmYixBZNqR4YwkGTPZkjaKOoC9bltpCNLFIiRCugB0BrMOztu09XMHVEWRuE8HlV8Fj1I+osksLfm+enoL9w2pJM/1nX9g0Of8o9z3li+y4z3tfutpAQYhgWKwP8eVUi5wsX4VkfyZdJ8gI67Vs2npjMIQFFQ9kCKaDVZn0IX1ZYG1E60azALrDegnAHmbOBgqEU9wwvowPo2qE/csIWbBMONRDNhmXS0q4TB8BmeyzSxers4qECG2SBsjuxVFbgM0/P6zG/gVJaJGm5M/P5M75j/1/tvVvfCPDmYJs/JzmMa72MzzSHeswaVWgRi+e2IvjljuVqykFmoDLqqyQf/ChB1Np0MY5Ly2e7J9pD+yRucqyRj66uy6r35L1N0LJF/wFPpnCpoBqTQCOYECf9RXsR6lBiNpqv/d0xznnNbnm8qxx464q+uuq7RUmtc7liI2nUNCLh78o/tvx84CfUDjDivk9BfshSNG5XICfHdRkXfV8/S/r/u/Kbb1X+emCovd2C+7/OSu5hn5XRws/cP1W1S3lFSlZ63JAOh393aqf3nHDZt51FpYdy3zET/TizzSw8NaP/Nx5kdBpsxeaFx5vnaVrMRDB5bXEFBtFCUQJRAlECUQJ/G5JAEUGRZtUG6i6RIa8yl1uohZeX04pXXLcKShQAZiMbyQne8MDtz8kaIcHCQSPuZ1V/sOkYPHJFKp25RV8uBdQMbfegRTZCQR+4XZ177LiAcKEhm9p3/qy1B6ygEAAS1tNrqc1RcLc7x+49dyaey979wJh9sdhJQMU0oc9eoCzTbkPWo5LevhhTKnfWCnbPjbSSXRlscKag+ssRTq0ucxiaYKWWZATaIJkwMsp46qnqzrcEt/L33M1WXV2h7uuPZDVTv/KCqpyS3LEyjiBbjaUfaH4E4hmlABprKTU4QaJ6+qB8hWW5H5ckKWF/JzIDWsizdlXibWvL2A7lqduyB4lIF4WOE3GSeY+HpXFYItEN7gXFsekwfhscgKxCaEx6YRWuMYd9jnWNQEyCikxWN94G7Pu55Xj4Yn7zeCT8do70FrE0qteY4B0oZ/xH+hN+KKdXemLoElTOTB1r6ngT3yw3uEGjLs48p+yVBoR73p+dCYr3dMTWf5rJjLWCbksP9pZo5Ub9Op6eYDraeDFqo0u+yUPtf8XWeCCyt7nL3drithasnyeyCU8N99r8s0aIIUIZUHRggGYAPx1BftJPwd7diYLazr5Ut20VPwt41LPDLfwBwr2U5Or+IFAJpZMIuyuyBKb/nv0oNR3t7Xv8nOBMNb+We++O2/fc/lOy/XzMvvJrTQNJueNOWHqhpxpHeaUH9XcjmWVz78jrrERXN6Q9RPZiBKIEogSiBKIErgpEnjaX3H3c1JGpdyQ/w9F7DKw96Z5lmpqJAFM88qqW3H7o31/S02PRscGcu5k7yTNBR+lTHoqUm+lvA6knO9kd9wn3U/NEuAbKqDO4MCscUHhHgkU+X2LY1KiY1BNBj6vBGcFBjnrZaVCWcZ1gSjxWpeb7ZH2NRYGeXcrv+mBgHIKWhEPliJC4BKZ2j5UWaEAhBtKexEsPMwYV0IAxIJcYWm7vFiyPYBHsmBCg7yKAH24Yv8m0UqxvNneTANfzDyZRRCC52L8vahUIaQLWXdrStlw5PZ7++7D7AeuxHyswMklnZMWIRgSY+GeSXCZEwFnMkggnxBsp95SVNv6wJ0rJUmj6CPsVvKK/mpAQ+PIFFowKyWEwzP3YwcOsD5yC8tpXlYoLryLqA/sE9oZa1wEMlbhv6yN6BS0L5OCLE+09xU+kPX7spDtHjZMpiZG323qu5qtuuKwpPQrHkydynreF8guTTHgu0B3AsjmMDSmnIB2miR06Lt/2tUaYt+p3EzbirarNdYVuExEoTkCOjzdT54caX/liaIR+2i5VVkMf7BTdttLbeNh0G+6Ye9MLwYE5it3wjDW/0hpUfZOkr3IWm+ktiHFDPlMCfaD2/WOXHBLQt2T+YyZt/VKMCSKWdCTW8ZnMm3rB69pwercHlUyh6Tb+DA71pLcd0sCx/wOniii7KrAKx4DvJwJbYe8d0nGhNBIVr+ecnq+y8VeGglgdvSCJoLLd/lJRt6jBKIEogSiBKIEfoclcKQAGQ/yApdS3EjsjsJm6T4kkzl6tOlz8+oR4Ti4yUvkGfROlClG8QFWLnYqCgB9lPvQfTp4ZMoqrU+Gp/ahNW6dD3PvGc99BXZpas/nV4PnAmoCJ8IlFsQGs19SCGATZpXRfi4PbgUAsb4lswXneq6wAA3MfTSTMgsS/ZQ0E/lB1tJ//Lr9qWQigCUrDseVgaxHLW36MsV3YtkjXcSKUlKEgrss+y1xRwzWM+QCcLwlhR/rIKBoTYAUt9lguSE3IC6d8OiLziYX6dPQwGRXkqVnJ3fbbbtNWVElh6Do28OA2RSRSc/xEKEKkLss5f9M4Lki6wp7ZXHzbGh75+F53/VKpy6/WHdbmRW32z0yWUHbhpOlCUsuQ2KhMSFNDevBPUGd8tpbmkAS3w4GptpSQUno+IvkW1awUskA25FyWrK/EHCG3O7KBXRRbttY6dd0ZM+lF4WXQVibuGFXMmWFoWlpr+Ut96HWoX+m9mCnRrt4cZEnavyrG/rrY/9lFPCpa1FgCfZ0b3tBIO/MrIpYMNlz6VP1DM0l+hef7SkirKyVosCa2V6tup88XJE9+NTmMGjvah1q3yMtlCql33jisoVVRe8VXQWNwg2WlCV3NhbNYkkwnifK22pBdDYqklPLffas5nZ0vqIXHf73OZkdzxw58kKEdTtV/EO1KgAgPCaCtTq7trPprwAWp2v9Hm6ixzLerx4f2x5M3MW5VrIVp0w3CuY12+vdvkaEFjVW4HLRO2Tc+Aklr9RuPJ+RwSiBKIEogSiBKIEogW9JAvWBT+tAEngUNwpWHvYDokCSMuK6JVtan9vUqEpxQsFOl6DIX2UpDS6CRB81N1gBvQAEu6OO+6T3WynSqNOed4LfmO+lLpkOLp3JrXEbQzdixOiICQyT4yLQ4SnpLlhUtOGTD/VYle7kNt1GaU17v565k4GsRIINNM3KnDJQ2gRyVBBNtC9wgIIOsMQKmS7BWkuQldmC8o7Cj2vtiVJ3QIeUE6Q3ISjQonI8EoEV657JNAhyhpDdC3VqA/9YAwU79B4By63mhZCsv12F1lNH7oRSa8ndlyBMy3nR8jZeXGH3z/quWFL02cWeu6t0E9l+zvUK/+pGRVlwBep4b5HXMwSMlkpl7UHtXnypAMPpwZILqqfmklxb05k++UQu5HQkMuyxrL1YvXDhvL2+4FYF8HE7xh0UOVO8+KZH4OpH+R+6zwafuw9y37N2fruu7tjAU4z6344IeSrcS+hxSH5XPkUJK4Wi9SGZYOkFYPFb0yNRwCPlQJVVEmBJzsq65H2kID+fPj8SOJSrsXpi4X54e819KDdYs1JK1n4OWrt6wZJlQWe9y+tJTdbkRt1YJjAQLyrY38fe3/uK1Hoi6yAvMhh/Sy6oWDOJ3Ir8iCYbIhjzG8Vlm0KE3enUOX62ZnWmgeZr0+ackszfX1z97UU7kS0As60cqPwOqrKwDrSX+29Oy+4r0igxyHeo8AzZd9nvylqvvyF+3/XNnuDFv143m9/IXZRAlECUQJRAlECUwDcsgd7IqwcoNuiAWNdQvo/JR6jrZdJDiAevvHL0Gl24vg57vsfFlsEyIr3V6JtKaV+hrdJFKGfiambVHfdPBUzEY2JF9MBQ7WgPM2EQMW1J6DlChknY0R/sO6FhAWDUTzq9uic0kokZ7BAwpLdRSOiz7xOazwe7SvEhkJb14JUxN/u3lLMxb+0HskwSWGRVwBJwObeIZpDB5L74Fn1wD/sbAfcnsm51em0pnjkD/Sj6pGDwfKuneE7YExYW4MMyqRpLKRJuaBJeEnyrkj5W4cezZqEt931jzxbn+uA2vSvr1kIpa/tGe0oDQz1ghcirXe27zDaUjkTpIJD+8uiBay3IqrYscJMVzyO5urLRUQXLpJO1OW21ZnieScHcYa2Z8Zmc2QFWxmymb+ic9CTAGtwpn8taiQsnsmRPIsByWy69WOhrshjz0iKAyxkyk0vx8kH+AzHFqH5cOzMGEi6Se9ZA57amQuPQR3RYHwPQo86RWV5u1Mf1trm3AiLIP3kq8FhQ8CgKcjnQ3sr2p4pw22jbb5KudzdX3O8p1ciygv3wW8Rl2Qde0k1d50qyTAvJ1ztZBYjS3krRXVnMyQKufYu8KBKPg4Rn4Uu3IUC5qBccuMseyDV2TblGqwKgh2cdBQ0amBUdiyEvm7Caw0NFLzlKWKDFpwFKE4oHlMa8GlFl95OxrInd9PXJ6bUO8LR73HG/aT52Lw5/5D5XFGYtpe9cQbY8UzwlyE6jn/uNLxFc3vhHFBmMEogSiBKIEogS+HYlEJS+RAc064hxoIpj7dHCYkAJ4MuUH1/hilLUl6ToYfW4CJKs25VfRB6lYNGh2JWvsmt4Io3Gg/xdd8/tKH/dL4XGpJgLtFlBEeOEL5tIUh8m5Sut6Q8LP7QjoOdXvV/ZOYq2t0b5S5ulSBAIaCAFz7Pnlb3QgiA3z/t77qB/JEoexDF+rl9UugMpvdDUBzmxvxJgyfncIj7NajtWIseMw5pNa0HukoAgABNgCS/fnoAKiicg0sDMzDyQJzxYyo5k4MBBVqDGP0sRCvzTX1fTVsyLHGN1XNSeyVOl9DC+1alYVGAXbW3MZAcCdLIQisHqgtqVlcOzvSxX2bJrYjlTKgklrfEuwBoPmbAncqh0JiYzxk8+lhdTbS4UY3JSS/vQqlQsiSenvIs17WFsa+5+TbEn8b3bS7J6yc02EQLpNFh7uOjOL75hmn5ol5AYjxvqx0f4ZqBkjuN6nTDPokA1e1SfHtTdviLEYsFG7k0FW0Km8A1vgN9Wp2MfaBBM6Qfvb7sP76xN/daypRUoywu24QqVHYzmsnT23Ff7NVlBlUdyy0dctTaiafLSER5tnap3Rc/03lZFa6xjrrHrcsW+s14WwOy63z45tSA7zBvAy3NjH7C50avOZGRfukiVOVWw4As3Lyl2C/mpeF4VPEgBmLJKJ3KieT1vN/SyYvWS3u92tZ+2329JvsvivA2+N2yKEVzesAcS2YkSiBKIEogSiBK4ERJA2ZQqhysnAEJZ9mw/4RU6oJpLAe6VXPNYKQ1KXXO3I1gKQCjRDV86NdtrqEESHHBJe0E9KeMo4D+t/HjSxnh27nR4rqitR+JbhMLAAp8FWXQeZB9YXXoedPtJ8cfo/opEe6DgPDUp9UOnJCCJNovVBUBJr+RDnpSECHsld0ZbbkOusRTvtjtyJ0ojQRAWU9jVtyxQuCbLowGGhFevLHsFv0PaBMCEPpPCIFx7QJt0s/2WuMmeyC2xoWA66ip3RfGEy28ovptdwTt8zCsEPArF5Kq2YVTfhdmr2PxDS6591db6okXzPNb+ylsCIIyD/CrFjLu3SYRbTw8eSsWCgcyzZsmdnilFhv7h8okFDbBEKRkytRH9uFabPArORR8LrFlhuU745ZTCLNkHy/5V9hCeyRpIwW1zQ9a625uLBrKsUl+025eFblUvRQBfU2V2zroZZJNuN5bsJTIOa8Bu+6lpGnJ/Ve5X0mw8F6isyUpJOwBbR27O5LbkyLpIF7qvL1Xcj793S26r1QuPhbY5uWhni6uuISvlnlyBCbh0S+tlQ5Za26urceAlgNYxEc03zCUny/LWqvaZEtxHVsyOrNK4yWKl3hO/rHOxqt834HJmv2Wa4dS5/w3xCMOaSt2UZBF3aJO+E85N9vrKaeBqOSO33JKrLB64oXKzKiCx62bnRzsO/d+1I+/MeE762ShVjT+fsyRv1LQiuLxRjyMyEyUQJRAlECUQJXAzJDDKVM3iUdFeqm0luH8yfKp0Eo0xcyh5vkzOskPZoXoLyiWnPWLKO9eWYlsq+gA1WDbCXq3Qc/ZI1FOipaLdmsudIlXO9kGxMuVXQJbzxBHP6lBXUVpXsituubDi62isOhQ0OO0IdHCOYszRfzj3n+Joxa2Mll1fwU+GwzM/2NiUqTHtPOv6HVlsRj6NB7krSfTOUBD0R07tjNpxOZC10Y9lmCiphzPfFuBJlNDpwlzhzx/DPcDSltKVAP7rAmgEgAE4MLfZguWPUZCCuckGPmcammIvEI4FE/BulPTFtIEdY+jqiVlv3CEBHQR/We35vYJ9+fCRG7MkgBnG5YRz1kJ1MW8vH/ZkUXyi9BLs6SWwTLUCeAm8Mm5qoBlex5fGZ0JclbjqHihYzf5pUzlCw/5FgtZUtDexOOX62laKmhdHDavbFkielGRczf3L4RPN3MuU2vdz/gUFzzoU6lOXoXrqyHO36STdSCNDahr2N3blYgqQbMgyydHSvkzIGx1b+6rjBcDWqtZ4VVGREzanBtJFT/RwYz+Q5ZGXO+ylJMJqYDJNOvyGpmhAWOOwD3apwr5YhQiq98wFeqVasCjHWIOZE+68rL1QZtd9eizYZY3xCb8DMUWlrY0xsEyuA81Qb7TVHHdik7d+Fxu3PnPV4QtXP7jlThY+trUa+r3rR353vGsq6QVNW/ku+ftw0/ddTlbCuy79yH+UQJRAlECUQJRAlMAbk8B+f0nBaOrSL6X0yZhTU/J40/4ujDDRbgdyg2znz10GcNDRnsJWRSH0tV9TCjx7x5bljkg+RyJ0zhYURdoB1FA2OT+XVc7H3hGoUQOULB8pUwqXLqjDyie4aO08YEzOoWLap50k0MCPOq7mUhci68v4xF8KAnkFNtxPHXMCThkLTel5wHopfXhuwV0QN2EsPMgTa5EddZ5DiUbG6slc2BNnew4DrTRPVufbhoG4IiALYJx9mLcU7ER6aKJ8I7DQUo9PVjJK1gCyTlJjDLTXMUyAechmrQaak86CvOgLaKHwXLoypSBjFP8lBZTBumXpSLRHFwDk04YwL9m92VtIP32y4oN5s3cXiyWul/QjWFEh35SFtyBAIysvaVdSoMUIXPoFZfYp9gysnmu9IU/kvCkAfnujaqA13R2r2/5x3dba93aWZWmdVYtH7vHgS/dUL1Y8dXpnDFz6R+EFGNYZcuN+uOZqtkCH+7iWPz9Q3FnJEGDZ6LRlQW1rXbOap8ui8kculooWuKmWtDmts3+0etHSqq5YYl8orUqzqwA8cmfdWtWawHsAsp5Je2aBT/98Z0ZN2rFntSM3ZUSDVXpBwX329Zx5nvwGKQTVCcF8ZqjY/dmvABQ5woMfX62SMTl6yfqeoT1Xdp7ImeGH2mec0T7nUu7cnRQ+oIXv9B35tvlqova+R3Nje/dN33c5+yv6jjyKOI0ogSiBKIEogSiBKIGvI4FTpdVYlfImjCALpgcGaXoTJXJyhlpnUE3udKOKlM9K0xVbVVdoKvWBsAvWKSw1iwJagAcUJwAhdUQ/xRU2KJtEdD2VAs7n65axuhmU18sIjhv6Bqi4dIFP/5E8kuuBgGJTF2Am9nsSpIcgMbj1+j7OXAfZL4dbIQAHoHNVyUkWBOgBWIeWE+nOqs2hhXf3XNf4zwUoiPS5KddHrElYDk2eGnTS2s9nzIduMEZOIMLaJA05jIIFUy1Q5I/OfVRY+tbl8kuKiv1z3F8V81Vz68p98972shRh77LMEeSA+6ochA00k7KlIN7gK6sPluntVSxhOdsXWG8N5cLZcYDDZ5oPMgU8s081uFgjRlO6YSQprKMT7Qf+4sW55f3kPoDn/q2qrLuy8CW80FxNzbp1XGuaNW5HqUi85Q1JpAXgLK3Nc1nFFEt2fK837Mplte/K+bJa+7VBTyNMK42dvuYWhXFxcSUFyIFSyhCdttXtyrWzaS6wvpX/hgZyvb+94r6nPZW8PHj07NTaEzX2TAF92HO7oiA+YV0B9g70cmJXgYsIpvTw9rJFFA58JZT9FMVM4NMvy2TeKSbgF7nxooDnRXhf3IqXZF3+YremiK0+Uu2aLM62XuhrE08RSZ36EZJvfiSpAnn4nOwXRrK+cCucU9MREKfOwK1yQFIscrT+psz5U6W7WoMCoAMLVJamZF1v9BevePibyrMCVHpAf7PnEMHljV5SkbkogSiBKIEogSiBtyOBpsJNrkhvQwf8zeCTazERlEB/9N/dSt0VtTdqq7slQIIFa2TWyZoCwFy3eD00Uah04Axli8KBc7tKnYc+dj9pjxKOIm2WQzrQT8dgPaSea3/051wb/XBMxuzIpbGuyJ1YnXBTW5cVrpCyyKb3Tarr/DJzg3FLsuSZa7B6IMH5ZdIR/ihYgzcForB8Yg0kNQUA06y7IGDT3n3ba32LrjwOUWt1Yv+pmyL1CrBR2D+6tVax9Cc9BRrpCRBvak/fajWVXoUxxWCYB6yWFOyHEgBLRpa6rPJPwh/Aemt1aLS6ernRlktrU+7H5GIESGHhLQtwATaxBAMIuW7JQndwghusD9qDpXhV7q+3lLsRqxr5KwcCdQB9ngvPDBlbjkc9t7Uxz3BIsYn7U31vZjfci+Ge2XKZ/X9u/tzlZc5/f/DArSh3Z4EotyrMyUvKpDaZu+aGqy6A/AV7KwWeAeJYIdsClzyjUHBhXVSwmp2NZX2qmod/KVEsDAWwFwSGWwLPLdfRi4OD04bb2awKhOZszysyqGkM1gHPhvyjRplFwkmYng3GRcInt5KFFJr5o8EaPbOSXNzbWuc+B6gMqRozK0sz+y09v5A08jYUXzYy1VPDhvVqN7g3rtBYdNGX9eSoe0bT6nTm//OAV63sFQyRmVWWB7fd2XDTyb9ipig/ZO7QbZb/izvtfuDOeu/N3L/ZlzgZIBfszrm8XOb1jqOs6+B8cBO5j+DyJj6VyFOUQJRAlECUQJTAW5ZARwo5lpVm5tUsh6YYevXQZoByWM/IVVYa0d3yfSnTfXfIHjOvE5pySdAgAqkEEIdrLOe40JolEFAo5QrdnXoAYlBKQx/GsTru2TnDJwDRn3KlNlx8/WJ0Eloof6RySIc0oc6sPRoq8DU16iV84DoL+KnJJZj0DxfLJR3VkPyYrU7BgrcAUAC9jI3lEF5wZby8t/gVjan7XNgDHZ/4uagaAIuFtFgAwKqf8igyTugfgIHR1Nj+OclSLTCZE+ilXaiDNz4AT5NjYeQWZLnO5ytmhcSSi7WuZak5umahBdSQW5EItE2lx8AdFqsO9aTJIJVGXSDukH2X6s9LDXhhPQHmmlpja3IZvS1wRn7HqWJzntR8P/eR2x3sWQVKfSVbcRvZdVfOVKyuh0uxSg63Y90HbBoJjcNJXS8iCKoDmG20u7omyu/FnJ6byxWBxRV3a23RogrzsiEU3FpxcT06K+v5KpiO5Hhcaxmoxrq7d6Y8lPkz9+N775krsQXGUudAAb7H54FoOKbGCW3Gt3TCsySK74SfkYFZ2ixqjYYXDuk+ergGipIFxMP246fGCu05/nbwqcvLsvgw9/6U7CZ8e1lCh7Q0ff/mw63n19xR5tiNOnfdoVKtOP/uYky6mG25jfK/KmJx3W2Vf6EXSW133P3++P67cBLkzu+5p3yXN71EcHnTn1DkL0ogSiBKIEogSuAtSADAgG7cH13fwphm06tAE0XoXHs2OyMF3mjsGGCgLeDAuzviVjlRfr/c826463LBMyU5pRinx3ir5wIpBhrFBLAlAMnAkwEmXaBL22es2lMZWl08AhTQrnFvRJmcuGuGtkGmF4nAz6IsdUdyJSYgjIEdDUZLA3KJq+xUz0AuTT40sHtczDbyjUMzlF85CMslUXtuB6pNuhics66+PzwQ6IcjAJNifGmh0YI0KgHmIT/uYX3DOkkxGYs2e1Kxkh7LTZdgOEH2tOfeiVxqyVvJ+ioLBC8tcFQkWFk6WWfPlfJDEEUus8vTwCjFqw2Y+vpx/vfdL/u/UjJ79qbKYpfkgrW5Ju0GfoOwG8hdlAkBlvcF+nYPmwKVPVcTqKwLGNqe2hTtFVkncX29L5di2xupecwWqla0Z3ljZVG5MLWfUiCVtCTPDutyadYLibVDN1g6d/+SP3B/nv2z2e5pNv09G8KP40/9uf3o1YIrb9f031iVQyFPJvktKauy/E4VGOUPh4qfRkJ3UmG0f9H/pfZx11XLb0f7d13P/Xn+35jcbDHQnhP/n10lNZ43ddL7AlfNLbgPCn/kHhUW9GxSY6lxNjNwDxf/zv3XhT8Y9/9r9590nhPA/HBcd9NPkKOWtbwEvFssu3ITqH4jWY/g8kY+lshUlECUQJRAlECUwNuVAIq6aXGKAPt1ivQ/KyhD/baS1XfIbah0FHJrvKUk9ljqZguWSRlNVTzAmL1/netEvxWFGQXVLj1XkzY2lFm0sH7ZRzdR6LByja/pq2tkA2gZR3W1+mmuDPDYMAJSQZazU/VsBE3eCACmAE4Hpy3tQewoUi8pOmY70pTOF+vZw4idlyipgD5cgdNWLECCBY0Jk7dRJ19GNfBl1eHCj2XrYtLcnwU2mGeqcGXue4FEcs9DyRT39EOuQn5poJgiZc8BC2RDVkosuuSqJHqpOd2qO4ANF1Kst+xxXVAAHGRhwNfYwpI2UtChhtxoh+7eLaUj0f1xmeFxXJ+cFDNye5ZZDFC5mdmWJVSASMFkiGzEOujJX5Fox92eXGC1eDkHgOGmigsrEWC7+DQmhf2gFQUuenhboHJr2YBwuHfZkRycWysl7amsGLhkbZ4LrL7/YNkdr2nfpnJxYNj6p97/536c/6GD53nFnktyw0STOk+LwT+WdGvf8FR7pxkbfpa05/PCmlBHoxOIiUR6HKp/kv+R8amYwq6VaSl0lvZmZ8Wv6Pr1mTCVHOjDmOzTBbXyLPnTUVeAoe3+gva/OrdV8i+l2CPOv/+wNHCruT+aIvSnhZ+5X2d+q3H0cqJ3b+reTb3gOdjceQHHuaYp4+2NLTeYtRsrs8hYlECUQJRAlECUwHdfAlJi9J8rjIqyKnz9Uuksu0FN+8dGAgbKJ7gtl8oAemapG8iQ9u6jfXrLBsokeqV9gIx2Ho6qT9WNwaB0f9wsuUY5TdOYHXPeNYqcfSQJjgAVFGr4bgq8QZMCfaKojgSYkRkFy28oKN/0H5fUPaubuV4ScALYHilADekkkBWA+zqFfYlY544FTHO5nu1PXElZl+AF91UUeFPi5xCFHYabYWumpVqIFi6gWCOnJzghYHSYvBHzFAk0RAl7Fe0itBkP7Nsix5btj+zImotFVvkN5fL7+bOzxBUWUDeQq2lXOT/rrqRANrjqAtxKOrKHtaD58tx4/uSzJPgROTW76pe2FDIiz7KvT9if6Y8ASLlpt3dkys8rh6rWpvaZjgYNHQlsI1CnOngD5AIEGMtkrGO6MN663F/vba043GCZixW1uwDSUh2h19Kaw2W6IuDM3AgO1Gh3XK+ZlSvtHfdl5rH1wEvgQPla7+bupihMnyLmcZHsx9fhOSRP31/y/Pw8mBtRiSkmY8l1XrHHmBAd004ahuufFX6qnLINdzA6cvdz92yPL+uIvavjtZmMS58hUYf1bJATL03Wl4uW/ubx83O9qKq4/3GpYL9R7WR1baUJWlVKotlSzSy6Py78oWTzwv1N49GVFkwZPt0o9f5hlta3dU1cLX4HBc2Zc34+EVx+W9KP40QJRAlECUQJRAlECbwRCQCgCBIzaM/b9/dqQyz2Vly2tuyGUsjLMjEQcfIyYAllQBxKJC6PKLechxQkQVVH2QYCiU0DNhxRkWkfwFw44l5qVjzdpI6xaccRJdX6MDD3OapQ54/+xL71ZS10XJJl6vwkr9xzRA5VXkUBHwKMVLXfr6DxPH+eBmDvVcuSADhghRQuh2JmS9ZMz0mgZMx4RhMF3BpILMwV611HFrqO+ITrWaiIAo8srlsAFRZxddzBPwmLSosZb16Bfpo3+EiuM2jJqUI+Rfb1+ScAOMtY7s5juQcTZRh+mRdRhF8cnlk+SEAlrqgAQoq2XbpJJlZPnD7Mk+ccysFpzn3+4kjgNuvdZeU+Cz+2zkQqvIwggjFj9DQ/PlwDPHm29hHBcB5oX3aEBwIHfbizJtdWWdoEDlVlEM4442KqwLe/j4uvRU6WpZb5EHm42ano91ETz0MFcaq7H2yuuf+qGtw/9fwzqcBKU3SnL8h5youR6aehrYty6TWp8tzVhX2XVACkWxI0l1Xtd03LdZqyX3WzdbPXVeXTrWarvpqBVDjwvIOMqeOcQlobCsCP3I/vKRrwniLvPtlvSC4lgWzJVnPnc1XZyd5x/37xzH2R67j/3FJAqVSpyiL975fabreXdX/X0u8OA/WsgFLtv+lTEz0/YxX+lmEdLylI2k0t0XJ5U59M5CtKIEogSiBKIErgLUrArHECJijc3898330y+uQiN177VP18RUdwQH1/z+0q5QMRPbGqAVhDTryLBH2NKaxelzTLUllKpAeFHjh565wHDCHQjwcfl1F88/VEJEXRo4BbcO89ItWKcjUSqTTcQzSZQdMN2zXPhJLRZ/OJMu1r5n4DIrA4EjH1THQJVLOulA/pkpZ6ODcMpQtccZE1KSzMpU7XgkQGEKDhXTkH5j5LPkRhjHFJRG/X/tz3M7dPASzKebPnfv3FsatUOlL8tQss3Un3x5epG1bHtXgJ/IZ2ATxwm7kDGmlFSo1tWaWY16Nnx273pG5WLWMi+fJrQ5FsBdhyAiUGChMrIvTZy6nLcQEwfhMlzAnarEeeGaAVK+nO5pL7wf21ZFgPHNM8pPuaTCQIZHwo9+hjPX/cpXnBYGlmRLunOZFKhb21Z3KNrZ+vuK3FZa27V0FB/IZyfp3YPtHwNDxn8ORBZQCYyncrnlhPjINr+1XgMj2/2XN73nrOrJQkNs9UE56p/7vi1xaX1IQCpxnxUVbU2vvbi5ba5YVSsGDlvqMowaz9dHvfLyHCIlNZk2VzbaHj/lCfeeWW3qt1tC3gVwqS9b9u1Nyv9aLt/22U7SUSPFNw+8ZVd2j8+ro3/c3vIWFZFnjnmo3p5/Smx/u69CK4/LoSjP2jBKIEogSiBKIEvoMSQFfCsjckaqzelK/kl11T7mY9uZtd1NqmlZ1ipuQqruwe5B+4I1kfAUijLJFK8z5qpzQlrzzOFxzACKV1TeAKBfYmFuQDgKAAgohQuqD8fwRuARSggKM4zwqLqKomv7TIRGtcUvWAE/ZfvjgcyHIlgCmZEEHXZEcfmFBBUceNECATRsTCRvtuAk7BVn29LMDKCki06Kk8B7UJllwjpq80O6GOWlxL02AisBCskAYZ53QG3FFgd2L9tNZ+LNVjkfIBiGhJuhBZXbVPEX4/e1aXO6tcUBM6tABELsg6u7KoCKsbS+Ymuqc0Hw93VtyiAvc8P2q4ZwrcA3JpKwgPbqvICLmYyyUy08dklxyhmy5+fuITGYl5ABWKPvLi2eTFA/Lw64D56J89E3/kGlC4rWe4LqtaKNYkXKSOvNBp69nU9ILiTNGCsSiWSzn38M6S8lWW5PI7AY63ZaF7uqfosQBMze1QaXGIfFsVX9cvWi22YHgRIf4kh74i3yLn1DIUOSThZVWXFZXCCyICJr1OIWoxe1SNrAh46ilK4qOoAEwAX/3KJFPGVjsJjrYU+OMTXpxsrpVdSbJ6cdR2X+7WtVe5pJcz5ADl9dOk2HnqAYSXGpMWfpxw/adLHfcnVR8x+wflnsBmxv2mU3T1rizdmj5xgas1BZFSntZvqmDk5/eKpPJ60daXB8hNLq+3Km7yjCJvUQJRAlECUQJRAlECX1sCGfmC5eUyhkInXdA9KD1wzZHSOghgUmrDujubk1Uunym4B9n7csurWD7LMynK2inmWgunrtCXgtxfN+WoKCXpsiJDjymT0rXfaBn2iE55RclKoc1NQMAVLe0W4I3iwR2pNGSlkpIOICYvI0o/E2l0dA9FVHPOyXJpZWb646km9RyoA5zc3liQ0tz0+yilaJJmxJpZJ694N5XuoiUwwrPCeoMyDhACsByKFyoASQBEaOYrOuo87CEN+vaErclZmt/6sZcPUWkf7izLDVhWWDUdtxahybmfRFqBBxROGhhl+wLQsNYara47VoRVwFKt1bFrD9R9WwDNhvI9bq0uWj7HqgA98+lI1kSPRU5gMAA+wA/32oqeyXhro5GRcCQPDy5xNRRLYhoeAJ4AR9uvKetXReOZlVq0AJUeWOYSoOl5wuoLLdarXws+yA/WYdbEsvbQ0o/iwefkSB2AlxQlpJ8hQA1tqpWcW9VzB1yyT3O2EPl2bXlRkXGVlkRjnzTasnC35ar6cqv4LC1kgQAY11KOJK6nVm+NPe8AftLBUPx+1tcDVJayRmN1BWTHa8Wo6kusULp6sSBDtOTMGL5VXhsNAab2IkW1SVOaG/jHY4C1QKqj54cte6m1oZyfpErxcp+AVPqk1yXXVsTXbAnPjPqfLnTdHeUcfdzKu3/pyZNAWPt06fXkMDvOZdewFDwL8IgA+vO7Tr/ouazv26iP4PJtSD2OGSUQJRAlECUQJXDDJYAKU8yi6BYFkrzlaSGz4PhHWcmtujuoOdJ6Phn8VjUj92HuA1dQ+7z+EdkTS9Jg2Hf14aI7HW0qJ94/u6LcyuqtglsvXA7ivCXIW0pssCu+zgVeifppKTxm2g07x+Ma3NfglRJc2sY3xydSV18BXAbLJVSDoopqShCZBSn/5OtELk1ZOdr9rFtblAVYORwD0BgPO3MS1FuOKNCk4tiUkkwE2b2TttvSZJa1JxNQwRgA+LaUfiwcFKzNxo9ACalMipIPeURxFcR9F7oozHP0aOs/+zVW4nUSADXAFaWduZryL6KB73Ad6IT6MZ1wIznC67GCFz05rCkS6rlAQV8gwj+r0BQZPNhe1WfFIsUCAOGBAuAhjySgGjdupAZe4j4yqQrsr0hezN0sjhbgB6CYCCzh3fjTF2SRD3gwjBGeb2hjA9vTmTx7X+e/jfvAg2fTaPq7XvY8PwIvERWY50gUXFxfsbjBaxg7TRfZwh+uttursl7+/+y92ZckR3bmZ7HvuW9VBaAANHpjN9duLjPkzHCGM9p49EJJc/Q4f5ZedHSOpAc9SGceKI3EEcnDRdzZZDe70d0EugEUUFvumbHvod93zS3CIzIyK6uyqlCFcStEuLu52TWzax6J+/ndDvH7RTOrvJkHPB93tp8BXEYD2No4T6cAS2LgtPhz+VpKm6rxlV/0Sebt0+5LTtICjVF+0PnbYVxyOkaBnwIY1e9NGla1MO0nfrqxh87IlHjGb22VzVf50XHH8nHe5rpaxAKCiWsrwl7Ojxtdad1a4CVFz8Vubui2smheHzn3D7xM09+WF1k0nfh2aA7C/+HxfZFjPwvtBFw+C9eSPgkHEg4kHEg4kHDgPwEO6C25BJkuAuWQNAcZhE6JZ4jutnrEdRPufpa0AqFIEJKAr1yDAgh4i7lGiWA+mLkNAZ6tbN3luxKgZ9qc0DccZW6oEeICVbino8w6pakTqJIvp4RwbyLp008INGge3rjPzzWaMr2Z/xRdzqRC+W89bQngUsKqNAkTUiCopOBT4JHMQAVuNOfTFuat7Ybl9pR5q4DOZaNafeymmcOChY4IXnJw2kZozlnkUAF/ASjtk4BfyO2YE5gE+GkMX7TWGMGo9tqHK7tyUxL2lJ26DpT1vFwsMlNVtNP9k6Z7cNzgGPmkRk21HmnsVspFfC6rBiqlAQxFwY7O2z0D2zIj9ZpPDwZzqLykcZS/qXw27+6RdgR+qMwBC8aYTnnxnrWeb+8fkdlqbL/1wgKNd5yOutpoqoyNoTVJSymAdtbquXMC9AhIC/ju3q6RM3JJWo9oHuEACSs6KA3ISqlo4FK+l8cE9jk6r9qLiND+2sfpsqYnsa7+Ny8QL75rowWEF9cc63Ct0yJAUYGcBLJnBaoxwgKY4pt+a+GotvrNK62O9aR/OOqefgdbBA3TC6fHkZns7c0Sz1IBTWiMuBpHRbRD0TMSvw714ah7yg70a7e7rnWWdj8lgrAef/2aZZBRSWPeDJvazykKkF5GKaBZKHrpMceycOMVOSbg8hXZiGQaCQcSDiQcSDiQcOBV40AAaX0AzNHoxJXxpZTZK8aDNtVplEeugmwmoUfCfov8fiNA1lmh6gbSGlC6w2+4XP4fXLvZRrNQIGrscu2luVpBZ17oNBKmpZKGRikZxumBm1S6AIs0PlA518akUNo5mWyW8oATQORMSJRwhlRmJRyjSw4KXHKxdnZ/2VkQVCWMjobk/iOpvQmZ2YqZ7qmPaAoYak4SzqWhOz7vmdmmIlt6zV9EPZqAiZH2FdVHB2lfMhspi0yr9ecBjyvQlhYrFwFJabyWlyUElze8WHtJV+21Pn7vBa51vjj+fGeBEwWiubdfR2OH6SsAUf1C0TNXLubd3noVLV4Z37mKrS/c11FA/rODhkUT1rnGFC9q2L7WyuS4pP8xUWb7w5R7Y0eRWT2wVF+1nQ7HwDq36/gkVBeuo/VoVWoXX924f04E5JbL5NemNNO5Gq18mfECE1DWLe3iOWk82j2ZADu0z1lSklTs2ZCJY2/ScwekEFFBL+vupG97QtH3jJ6v0DO1IdPYFjkuAestnj9ptgVSZy8V5khccTHlypI2PN/wuY0/sX6T0ljKNPvGBSZkSWUj81gIQ26Rw1TBp74iCdMug1lstB02tO1ltIdhLraKaO9WeKmT302bibrMZFuVodtEMywteHwf1Xe635wHuqpf5LnqQtG931pru1qzaNFkBXVrmbH7anHoHvWy7rNBxv199+Z80prjfwsFLrHefmVLAi5f2a1JJpZwIOFAwoGEAwkHPl8OZNJ9E8KGI8xO9SY+Ld8973NZTVeY3LwwqCtpOU+baCMQFuvFsusWYgAScNp1Gwj/gMuGcvwpD2HGIpcKdOgj807REO1z6GiIlSj6qrSVB2jupAVMFRB0q+dulKMNs0wNSYtAoI1xp+x6dWlF5edIQJyaIlvSxIqJnuGCYxAxASjRrdAi3Ik1vnA6jcxJJ2lgJhMJrYAXfDsnIw+oJRhKGFQp4T+3u1E2Ib2Of50igSoS6tSnLgzumy/9lpnrLWgIFgmITU1sGeM6c15K9Kkq45PUuQeVtgdMIAjpy4Tyc7R1ivj66KTuOgCVOKViPscLgRyRPlfcHQLTKNfnZQDpCOAovzo9YyrSDO9tFL25LDx5fNLG9Hrk3twFuMGvC8W6+b7+NKzB14X2kt8VCVQl3Jl7CRExfNQ/szbaAAOXbHrYCz3L2mvlhhQAFCDUXMu8KBAgDqav3xv9gGBZBIMiR6UKCW0sT2Wg4weY/xZ/lNbn4XEe2nrhMgRIAdjR0q3Xrk7FMU/pyVfyH23x+1NRbk6ZRN+oiKEsTpp9Be/xqYbQ6pqp7OKqMZEll6rSpsjv0iwG9MNibwIQtOeOOtsnAc5o3wQkdzfQXOfJk0qO0wZruIMv6zQw1pJFhL6Btpose55DvYL+xEt7kHL3TjPulN/78yh6YRUtx8jBsujZX+TT8xjt5jSW/OJuTjShkHAg4UDCgYQDCQcSDrzeHOiSPbw+8SBN0WKJtW/mlwI1Ko+HB+50VHffLv0cV5J+vKBzjGZOZn/tXNGdLwQXAQ6hzay5Zu4j/Dlr7tPTE4xmS7RX9FKMWCNZaWJJ7ACogxwCocBqD2E8a6awMgMdV9ruPF/G/I0AHqmuCV4T/KAmAM1xte3SnZIbNytuSAqBAUS3q2g05XLlp27z918XKqYoQncmow5rxvxPEV6XlBBQQ20VZCRevBiuO/BNgnBUpFkUcBKofgQIkpZ3vebNIRsAC7za3EZqMzRfepSWUhRt9vYVXcyGWdrvWSsjOT6MOCUjIVwfvz6/1nBzVo/mCVD12f65+4eP9w1ghTbenDkPqCygbSuRUqKKJo5ULTF+hbbhKL/KT/ebpkkTcFhfyVsaiqPzFMFvcoDWvvkwbhOdtcbLi8Xi2RV9a/5qEEnutoPReeg33VXmZHAqtkzVXFh7NPcOUXpPCKQkf0ppnaSl3yIno8DlfGHT+O8Xsj/r/qD/R/O3bHZXb6r8M8sFopd2ANuMc97Wi5sepraKlHp134XBrrxs8mJAUZ9VlE/y5pRhpN8G/UL4jXmK0k6KeLfnX2LFWeADLuFjXZgHztqD8BszYMi1afrgh6hKca3coHoJcf+w7T5+3CDCcNnSusTX4bc+PM96LPwERTuca/1hLJ2HYi35+vNP8+4HafxCS9yRX2S0yBRa9DHzCH/jQr/rHvVY6e+X+ssMfuHPzXXJvJR2i0/4Sxk0GSThQMKBhAMJBxIOJBx4tTkgsQw8adFElZze3AlN7qOef/LBVPnbzj9IxHbb2S1Xam+4NlE6BwiI5wVpNi+W8WQT7SWgKotZJ5rGdh6tT7nr+pi4jviMCSJURdspoS+FL1O6XUJZWkL7g+YCM9tuZeQOu28DJJHU+nvuVuY71pbW/KdezBV6oyJa12bJ9Vpld9xEY7gyBIza7emXtFCauwL9pHKrVj/q1wmWQV+bAD6LJJO/rETD2e0J/lUThEppYtK5qkuRe5AseSaIxoXRSF5FW0M0UACAgLNMecsESLk3/sxoPXKP3Tcy37hs2Gi9tuIgn1/a9vneMKbESEb8lhAPM+KAUo06BJo5bXTch/dPMOVtmbZFwFG+grfRUNbQSO/jE6frt0m3oSBIlxXxTWlJPj1omoZbWrs722XT3MkX8wBz0I8eAM5pI94qmqoAXijqHwACp/6cE4EQ1YePlKHTOpCl4Kf1FSHRiAh6ekpEsc5LEDTV7Ir6pusNE/zl7yme7KKZFgBUoJn4cxCR8Y/t9MKfrKZWeQ2TcZ+N7rs3M29O93uhmV0KMG1iGnuOaaz4reA+h0Tb3cbkWveeVznjORWPZBJb5bl90SUAyBE+l3pxI5Bv+VQ5dgCe+VyelxD6QYcd0bM4A4bxOzBenS241du3qhZobP+ka2uRCbGKpxJ903bpXllLkZq//5i/L4/7Gfe9Fn7lFVIoYRq7wqcIGnwPbfQRqPJ7HXLWXmqyHhG+4hB+X1qLnU/felzR6XO6dfmv+HOaUDJswoGEAwkHEg4kHEg48PlzQMIymQcxfyM9hOAkSDMTqf6Uk7A17hgw80FznDvp1V1FCcbxyWygVexnlgu2E7Shw/GX3FkG4bsAiMsXXSrTdelxF5O3+ybkdUcE6MkA6ojIOF4hfQjh/0fNmqsPV107U3GTmgc1kszbI6LQZo9NfhTXxiSf63WqrlQ9cxP1pfRaNdcAyK6XZEI7XyYAVsX5nwzwn0NobPXS9lGrNH5e60ipuPAtLZFVpt1LEWU2g7+dtEWQmYq8umlib5CBY5QqaNYUlEgmnvkNtKRMRWU3vTNdj6+Zp2d1JjBDmz1ZQjp0e25HDacSOD+9CDesYiZ4n5Ea40f3jgxU9ghaoyJt7d29dXd3d82tAijlN1kFGL69dzmwtLXBUO3NMaCpjgZNwvUG2l6BNp2blo7jx4/qfn50eoCGShdz843mOK2MGLewBGsV+pmmiA5qw7eZONt5dK3zTL5mJH29bytNZRlwJ1B5ZWFdYf++kvmyNd1Jbbk8wa+s6GES4SvKGsGxclmixpK+Q8DnvNXh47X9V2mBryA5d0u+wmc8pyoyiY3n25xr+FwuWK8xxK9ZkWL1ERvGUYoUBfkZWKqSyERW3FdzUwtaZ3suwnTslm7zkQm6Uvus4H+p3LTTogGeoqi1n6Fzf3hWdLu1sfulLXxDqawx0mEz7dqFlPu945IbVvmbgCYzS6cM4/SesJ/LpqEuwpMCzTrXPr+qJQGXr+rOJPNKOJBwIOFAwoGEA58jBwQuxwhr+Yw0cOQSJJ3IBoDvlMA+uBQRin/T7WU9CKoPG+6kCzjiDf0QbUITk1hpBS8tSEgTovZMsrId42NqiREAL0tgmk8IfjJwRcxR2yP5MhHopL7lBjkSn6CtmEp0EfH64E0Dl7o8fvyuG5ADEc8sl8JHq5BGC1luuxHmtWdt+VnVEPBmUUktQiyaBYmdmsJZO+OagMuKHEyZvoT1fXw872LOuKzMRXCUI1RsyUH4U9VlrJC/pADmKWaM3WRxWU0AAEAASURBVDpjrqbdLhrgrfTWheFipI3gBG2OzAQVMXPu3oWe8QoCs/RP4xXTc3tvgObVbO4wBw7F5HW7UIgZgXdAmwqDCtgJvAQxN8xDwObvP3xE5FLfVvV7GzX31be2AIVFAwsKuCMT6rd2a6ZRMppXfMkkU9pJpVmRpndvqzL1VR0iaJ+jWZMP6lt7VQsAJL9cr2Hy89QctA/6xOdr5zFBXfdnxQNFXWutAVyaxjtq6Ot9jxlMpL3+zdGaUb3s7I2FAD6hneYYJzXsPLJb6dwKL0Aqbg2erlZKBArqmVZXOTOVZ1UBkfRy6KblrKmcrfqFAC4JmPRyStglP5p46XNeArDYZ2kzlQuzgGWB8Xm+uXXS3qj450A7QqEOq3L4pad5VuJtVbvI83B/1mN29tu3Ovy94rmMXr79bwcVXsjxggx3gi9vD93PRS+1NP7vfog1xZaf14zC053pcY2W9nQdX1Lrl/WEvKTlJMMkHEg4kHAg4UDCgYQDz4MDEmAwFkWA90KlMi7IVG8ru+26RLU8G50jUPk3/8URAWYIoKI+7Rz+jhbu9SlngdpuMLmL+e0AgfghWkoFD8KU7Pjrbry6cimxCb6hRyfvuX4Ws9YQqBPZ7bj7FbdT/AGmsAASAczzHHkAU26PZvNipZLYo3ltyYwSk7byCO0M0JrFHGHu1iCyp4KZLIvCKm2aigQ9AcVIfEUw9Zo2u829y0RJ+ZnJpLNFlNsu6VmyeSKj1hCWL+3BXNHaaNQpTQ0ezcMmY1/hrp/frF5N/X7G6+xcTbF9Vs/QZqYIkvkw0XkZy8NwP75pxaiLp3FRapjv/nQGLBW45ku3N907t9bQeHktngIzPSJ6p3xNFXhGS7i0sDbx+f6hz2MpzbB8M6URDKurAyzPCJqjQDm1yBQ0HoU3AP0wRvzan8vUmxLnI5Oy50Tr41YAF5cdPW1prcOsfM1l34vtAt1L23NjLO06ZtuhjMjjKo25NInSKHozUUWiTWE6Sn5ZIjbLh/UmZcSzf1z3WkuB+rXqzejdZC6hr9bntZloAfsyK4/MdLVXfOYK26Eq25Xoy1pQubgH6neh/xyx5Rer0d/IcPe/32mF0wvH5sriX58LTZZX2Nxna3uWeS4n/PxrE3D5/HmaUEw4kHAg4UDCgYQDrz0HBCxHiNfZLGcI9PIhU2AWmTaWiPpaQmsZygSNZXoskYJ25Bh85oLsNBy/h9YRAazD+Gm0ldcQjvtF7y+5OO5B55tuo/gTVyyeu3QfoAqArAPiVmSOK7AEepLF5mkngyZk4rZrI1fKSWfLRBA+bSndCeky+mg9SYWAxiQuu840lwARzO2mBUEwYIwAwKb3YicSFRUxVMFGFOE01VrDtBYf07I4qTlEjSOhWInjTSCOTyJGz5+GThduRBW6bwSnDSKFy/Q6nKg+roH27cI6/Tj2bYK6c000Zt/7ySM0jOhtqFPk16+9uYG2smzPkJiilBZHZ95kVVE8p9Fuw6CxYxD+FSH4HO2ueLm7XjLAFO4pgunj4w6gJ4cGT5rw+TK/0uie+Mdcwr3wksD2atpE4IMLfWl9nPoVRw2iQ5jH7MFQq0B5vu3DOql55CfIT+Rdoh0HTZdaTemELoy5bLxwO35M48sn38ESgX36vHzoodE7rjfdbsvzKt72ac+bRPXt4nQtlpUJmCSfy1elZDEFlom+AKYmKH4pZYlKfAf0LPrfoe48mavW1zZf7X25bP/D/escHzV4uRKzxL1On9DGxo+mbu+HXp1tCFOcHm/wf4ApjeQk4UDCgYQDCQcSDiQc+IJxQBCrP8anDbO6Kj6OjfoIM8eupdJQkvJ4kcniBCA6RnDuZiMtQrzB05xDejB+FxkQcUoOTDcpdD/r3XVr+XuuVGm6Ym8VDdcY88EMGs00wV8I6IikpowB2ytjiyoZFz6LoMscc5CJYYNARQKXtnQEO81M/n+hKJBMG22RCbEIpiFNhtpJMF8s8TpFwt1eKxEZlxQbmIpKGK4AZq9dRGyp9BvVGyHfIIMpZbxMMD2ejHxkzgkmwqkoUFNoE7SS6u01mbMgOfGFCVj+w08fkxbDmx3vkqfyF97bIzrq/Dpkvipe3iG/49UBfDSiM5/Uh0ctlkcOQfw0d0jDoiIeid/3iBwrLeUOAWyW4p4FkGB9PQEhOmObrWNJO9tkPw1rG1+vwKDmMC3L+k9vOvePhzn396OCq/MbIWON+5hIxv/V6mUarhjdGI1URiC9jYsw3tDFjegOL3aYhyIQiz8K7KMy4EVEA434TYpAt55xPcsaY6UCuLxBUJqbzOWyvgKTypPpOeZTlkz3Neo0BZdc61zpTFTm9s9q/Jdo2fOur7AV2t/4fsfaX/f0r4gk63av2/rydnpqL5v75b1e3p0EXL48XicjJRxIOJBwIOFAwoHXigPplIS2EZFMEdr6JFEHFBxhZirtUZCzJHO1u5hTcuwDxqTpSrkhQKyPQCqwgsZztEL904kcxfKJy6Z6rjm4PeWZ6G0VfmiC31n/S4DQi76Qe6W/dT38Q1vDOwidNQswdErbDP02MetT6o8ec83gVykLSqoAOWPmOh1melIC9N2tlDGn7ZDqgSi4SoOiBfOfSkdhdKMi08zeUDcCId/IBFsRj/rodmgR+oqXEtxl8nmABvPRccutD5SegyBBphENnUOP2VG07O4iUc0zFA0Q2bgqtUq8CKiEIiAZwS2qQv8Z4QA01X4MIB22H8K8L7kufPnBxwcAS2+yuUI00W++s+OqC8BSvNvHb1LpOBSE50lFJpn7J51pdNjd9aIrojlXEZjfh1cCPrfxv1SEWNMyxoiGFcSqlp5KCSST37jAbufGj9n6FzuL/uV351t/eWvg/uQEX+So+j6BpzRG0FjGx57vyZXtJfNj7zKlvej2bGTRLJCWpVosGphvoW1U0JvzZgcAzu/3GfMt9tnXRlv5JSfmx1rhB3PlPC9M/MVXyP9SZrHSXpp+OTA4PjTzHxkP+d1Lc2wA2e+e/TSituJo6O65G67UYMbvqPlTHxqbetKereg5Ue8wI837VS1P95f+VV1FMq+EAwkHEg4kHEg4kHDgBXDAizLl1LkbVVYtqEcDTYaw0iamnDJp7GJXqryWKrnyvtsr/3Q2jyAJUXOOBrEznpnSzhpdPEun+m6NXJi+jF0VH8xQTGPExUb+/agqRaTarxLUZx8N5KnJ4flUHbAB0DEcFYEGUoVI05XJD93aCmauBCcSDPYlMnuMBNCo0g4S4gSm9VFREy1L87j3YOja4gd82CB4yvoKJq3UC4SeYMYpvkiWtVHCUEYl+goSYjRuleA+RSKnCsgqV6GidCqiZREELHPEEDlTyH4ZuSnpGN+tLqI/vf/EEyDmlMb0ZB5YqAFa30HnIf6TPQCxzzeaz7PgN47ddwvsWSw4bxrT6fzj264yXCGIT9V4dtk0woiNTt9MbTWUosPKR1NFPD5Fw9tEM/fGTtlyoIY+gaZdzxYRqqfHaXvtAe0kuAewp6MAlXgctih0tOcvVIp+OA8NLjnqN1PmrUaTCKKh/C8nVfdfr7bd2oLPXrg/f9SMbUbz1dGVQLeixp42ik7gUvNv9fq8+OkDLi+aCy8lslDZwyJBv2+VEiaxlStSxSx0famX4kpRfpfsxWDAQ+c3389B+wMvxI9psS3wvyHt5xDNZxo/8RQ/VrkA6LZ233f1e2xdpgSe/kSBwsb6exSbxtNSsfdDIqEpPW3nl9g+AZcvkdnJUAkHEg4kHEg4kHDgdeUA7k2uQg63+rlM5RDgkG4U+bMBEJKAhu7PNchhOeqv4X/ZRyt4ih8i96IFrxbuuU7neuCylvt0yqY4sFSlAQCdTIXFidso/Fg1lxRmwH/pfs6N0HYV0Fj20Ih2JqQ+Yc6bqRAF6GL3yVhrAyCGHCE0kcBpgp1OoiLgUMQ0sxRpiAQuQ+qGSzU9sf6zNeGOhwJOIKGEJuqUKJ3SzkkrJ5BZQrjPMY5GDnwNc7CjVS69M9fsOhdTwdqv1pOf8nxGQVE7PzroR0GP0q52h2djPYYqo6aZOpF62xW3ui6wjNZuRuLCme6htDST2CHaYL3EUN7GwEtp4w7Pe5gSo92NNKCLPLHrGI9tkPj8w3mMXXqOVQxA6oT+i3Sn9xdp60ZUjEqgH9HQrX9e7rj/MJrlf23zwuP75D/8Z1Vvlhz6P9ORiXq/4KyZbyuScI+cly1+n1urTw8uxQOZxOpZVtlYyUda9Gea3cvpxJyDz2V8QPv7xIsQ7WX0653e1vMrXg355DGxJVSQ/ba0vdrC8MxNOzzlyb3TjDskB+YjAo/1pDH1k3hKKn4uoZM9Ws9IJ9B4kccEXL5I7ia0Ew4kHEg4kHAg4cAXiANFtC7tMiZ33QwBVvoE+hhNhc8h5mkNt+HGQzQACHLt0Y7brryPLBUJ7BKGpOD0Vo2XcqWau+9KmbPYfXX0NEKlyVWRcG9mnOF2TJAPbdVVb/zLvTWMdYHA2YHbTtccSRswjyXwyaQJwLxoXmuBbPA/HA8aJmCmc0uCBmGSqSIB1Hwto0GlJQlARcDzYpmvNComMc5aFtAAyg9TIFNaUJnmSnupaKgyT1Tkznkqs743P/OUPYt9JNVgEhtYrTF0vn82INKu11y/e2vDHe9+gPYn3gpg3y257Pm6zfn2dhWQ8uSZK/CPUrSIj0q1Ib/UUPZPWgagVB8X/nUe+K62F0aZu6+78l272DJOUw3C2tVysWilF8aJN9K++kHcm2v4Sj7mZxCzTL5P+p0DfjM7Wc/DeNerzpeNOfW7bOfQXmKmTWCfk0YX/9YqLy2km71+0bTrLSITc5LnubuOGfP1qfuW+u0e98/Iacv+Zp4eAF93PO1nJvaCiEXZnmhtY/5W5UlxpH2Uie303gLx3/2g6N68PXa/UL344mShqWsQdfpv9tEiFzOuxR+fjv4A8cwHzeNi+2e5jh6pZ+n6wvvMfqkvfKhkgIQDCQcSDiQcSDiQcOB144BE0pEkWSQjCTS5GiZkAMxRK+96HcTDKLPFUEEyIolngnnZkPyVj9rfdrul76EfxLQuNXZ7tb9xneGmqw/uIsMtokxME/HTzBGwxMOWOKeWidL+vt2Zux0uJC5SuFT+zX4fYAnSG2QJmDMpOBJ/2McLfICMqLm6hAipJo6juZTkOe4dW7qKADQkmA4HPqCPRowDEsmu+qjE632NvtVgdnXZmTR2q2gx9WmQasP7wPXdSb3n5A+6Jm0mRwHbFyNsel6KD/JJVPHfdmqmhh8cCEjLLBEQvPXxBWCZGqddrr7iMsOCe+vNmgFk3/vq74PTNpo3wBg8eBMzWo0rlik/psD2u7dXpv6Xc5RijAh9pptBQ+2H9s43868+4msyWotrVR/dCJsa54Ju2ECCSmjA2g+MRCa/TjAstOILxP+Lzbb7/UYJLbpz36wMXLUzdr97v+wyKDT/3fYsB6sRmX5BZIHO9FbsRABynVQ2D0/sybU511sdQKbyofq6WPMrT+tESFa+TBWli5Fp9vMs4tbB8ND9wP3Q7Q633a3xHbcOv9JxEPg8B1ykFe3lNLiP7of9DcdYn9PNjHvQ5cUO0bPfzI1cMWNPhLVQ8w5/JH90lHN/1867cZXnJWBl7dvTsT426vJTjbf878ry9i+7NgGXL5vjyXgJBxIOJBxIOJBw4DXjgOSjDABxpBwKlBQ+YtlaFw1U0XXrCuJDChF8lhDZ7X7866D1DVdOH5GH7xECEZAzc8xLfDQq3S9DaCZ1lbOHbiV3L971WgL15Y2iuSCIZQaYuwEwXZZ8kgQk6jsCwIS1zGTE+bG5Em4OM9R5AJZqqG7Bj0uCnoBrKBL+gnyaiYBKuPesxxoBf1RWOT4GePXx53x03DawVkWTWcQkV+az0jK9iLKM6v4Z5r9oxlRwySVPp0I5zZeMtJatVfNZXSdA0RXsnnYcYoqpyLlinYIahTUpKvHBWddtkZ7mMk3abBc8ObsWOLSBo9FFOLoO9xf7TScTnYR26jbXNroYj7tu1DvlrueUTKrxspteR2TsJcbd3BCz3rT73hiNmX5SYFDxLZrdPH1dxQeM5h3aBrrhuEoeynJeuVPJ78qi5XepwFMKovQ05ZR9tSixPNdrka/r0/QPbQUih7ygyS0E9Ho82nc/HHtz9v3UoctNiPra77pbhb3Q9ZU6/rfrbff/npfcH/JioMLz+ZsbPfdGwT/t3WHK/ft7ZddYY+/ngzE/lzXo2Z37M7J4/VxGeX5Elv2teH7UE0oJBxIOJBxIOJBwIOHAF4AD+DLhp7hYRilvymeGkxPdvyjyTtJZ13J7RG/d9jIygnI+XSc9yEdGLg3grOU+uwgsFwd75mu0ekOByzT5LSdoK3Pu49GR+3h8uHS+GkYg0gNJ6aKkmQvXs0lI4AtaWwl+cU2CBOrAi4BjrP1F9swIXvMsC3jcIx3Hrc2K21BQJTRS5/jGKU/mo6O2O2v2XZ2ovkM5Ld6g6IWB1+ouJzLEbPXhaR8AgzYbR9HMGv55GcxYaR4+KSKi5jCH3ayU3B7zvW6RCXAfbZtSv2yskA4HJgronKC1FM/3iA4rjeZTlVhznYY9E237p2P0uYpujIyoTHFfGrPOdEbRVD3tyUgaeIHLUGxUY+qHnZw7XeFlzLXwXrSP0wcoug5kF44KCrUGwMxmvKaxi9+l0r+EFyELzZdeCsRLO6xSLubNDHtpw2tUyuz0qH/iGiOfTkZd9scH7iejn871vu8eupP0yVzdq3RRxtT7N3mh9vXiwLXxe/7DZsHd6/sNLGQn7ms7s8jR8XmTeMato6YuKkT1MxZZVSz+fdFz9qqWaz3Wr+rkk3klHEg4kHAg4UDCgYQDL5ADTxJgzF7Wg5Bi+dClJzW0m8WlE2oN7gAi0V5yV6ClmD112QH+jkV89OaEcBo8adylIyyvTDFYepA3f6pNRbtMrU0F7Q9HB+69tA8yFIDU7K07wGEqD+pkflLeXysa00BJbHyaCwuomEZzSsfXB8EwtFG7UKfzJxWZOCrwj7SVG5hByj9REWa7mP6eEEVVKTxkKptFCK7QRr6J2Wv4OS6OO1v/4h3nWviVnWMWLbYo0ND6atodLXTInq+6Qq/mdt+okIvyemaVWssxZr/ib6mQB9x4jW0PTe1pE39ZgviEdCQXZ/WkGu1hbDOmzVU3v7/TW7GTz8YP3Gejz9C8Z92vZn95vottoGjw3KDRzxQ22NPZ0xTI3Ebb9Y1K3/2gS87DhfKddsF9u7z4EgeasQdFfLmsCIBYPkpypJr/IA3FzzMCQw2I0luI8sbay5IrHjgL5AO4V6mVyAn7DM+Odebr3/8Ijd46qlm02oXu2P327X334+E/oqlVgJ3I3Djak/3JoSuP7rl3MndD91fquIpJ7K8TfOlXqz33Px1X3e/Xi64Gn/7trbaZy6ZQ4hOjycqGIgBjMn5SxT+9QOXTvgy5auU8AhefrKs6vNx7Cbh8ufxORks4kHAg4UDCgYQDrw0HHiGQ3so0XJHUIKGsYPfVcE1EQ3wYeYvviHaZGgF2ukXA5ciNgq9R6BAdZTK73/kF8lT+CK0T4AGZeav0o4VWXD5Zxr/Y56oazGFTw6wrETDFy3deAJeM/l56m55eWA+4KJj2TqiYF+DUbjY59Q+Cvmol2Ae5H3l+CmFmPWaTDO1mNaLlr66Q+ePN7dxo00HCv8xHVbo9TCJJRdEDaA6GI9NitrpDlwWNKqJtURFnaa/5SvsnADSJ5b6cEMTIa26N3KVfPUwt+2i4sqSoqG06d5QnUk0obK4iwxbOttztnYpFMQ23lh21dPFyAuOO0E4q/YXmV0Qob5I+RprZk3rfzGPl//ciisaX4Xd7Ig2bLyfjE/fJ6FO7EJ/0PGifBvDoh8Mfup/Jfl0bH7XmFC19tqhn6vKiZzAHDT1v4YVGaN1pcrMcrsLRz8b4Ix5pArEiPqn458/fW+VZqADKe/2+ta+3uzwXA/g3A7SiE/rGyBkYPUX7rZLneRGteLCqeNvrnP/ml88AYfhZj1Oux7P3f5/uuG+VftF9p7np/uXqffc+PpdhRdL4fzT6GJP1nNtL7wHi53+BGk8vNdoDDI71nojbm/yub4B9r7OEuTYaSw4Av7MmM9miO+Glyf98WHH/BMC5zlxGvBtonaXdKTktCZ5txeLU+m2ao3XdC2157DGzZ3Dx2bkurZfRLgGXL4PLyRgJBxIOJBxIOJBw4DXkQA8JbqRX8RKMTAL0YmANn8URfpPNTMeNig2ARM2l+gW3WjhyR9y7rIzxq2oObtHuE09ySjfqcQMB7LIxbfJIYrmsiIcBJFh7oKB+QbgNdwOtuFGj6mTiForOgpwvWnOCum5EN+O+mKHvVcdAc66N6Gs8Vc6mMNckLK2AplIfFfkuKpWETEpbXUwd0QhmSA8jIjI5lTZRUWnT6ZJdK1hmaiT1S9eAlF8XzRl8UcwXEJDJsPw8c5uAFw0Ylcyg4HJnG24D88zFNBhKByOTXZnV+vMR85wQdEaRh0eWu1LpIcTPFnksT86ZS6T1efsWAYGeMjBNmJMdp0xcYKOYznj1ccN9d/g9mkqnFooAuF+/THJH5EQUMBukySWZxnQX89OH40fudvqWS+fW7J46zPoHOv74MZq51cyWK6ExVyoSlVXovFcYLNFaMk/GCh9pITVzfYu+QN8cSIzGVXClWqlItN223W90yEOK2bRMY3WvAGiMg1FITUubFxFtXk6oFHL48tL+JmUrV3L/ZqXj/pG9fL+/6s5I9vgHrVs2f3FJL6vO+aeSau25SeWx+/HoA9cE5L+dvusKaQ+Iv1PnyFQe1Unt0SKtR5neXP/bjZZbv1ae0Jus4mJfRff9lwBKmcc2+XX8Yd2/VeNPnHNXv1+4SOyJNfM/ev1d0jP5qpabPTGv6qqSeSUcSDiQcCDhQMKBhAM35oDeuM+LNTOSQApXA408LHzqamjLFA20jAumtF4h2uqs9eysO15zpfGK+V1KPvp838DbDEzQ9eK6n49E/ifKbibo+3VJUI8Lex4C+HsBGPmrZ/yG4GX7MKW4pIE3n/UARiBQIGONgEDy02wCINposxptOrJYARVbA/snqV3rTxHhV0dhO2mJFJyo0fX0wrhbKxXXwYcu3UVzisA9oU/ubM3lehW3tlFgzD6J7cfmQ9kHPEqj2gdgTgCQGtjmiB8p0wMEOwOZmsLmasHtkNvy/mHLcjVuYv6rnJZxPoc5XPsY45HWNS0R0Q/ND1CQJ5Swr6oRkGN9mhzlbFx3fwcQTePLKy2+wOW06DegC+iq5z7+vZ+N7tvt80mdHLBoeZv/FEBfct9A+/81PmuYXC5ussYS0LajaNq1KIu+dOx6aUJALVHmnsbSb08BkFbEK22cgDz8Pql3COwztJcIKzwDltKmnHeFWAAoSMBrcpbyQkLPdK3sgajIP2vR3DZQ1f4yfom3+0fu9+rb09/8n7f33FdLJ1hGFNwP9t91w8KKWyU1S5l0RA/GD23Ir6a/7P70o4L7IRGTDYsLuURZgUT7H4jO+i/whfw8ymkv5fpoZMX4C8Gvn+OE4mAyWFhE71ue4yjPj1QCLp8fLxNKCQcSDiQcSDiQcOALyQEJNCTz4IMmE6M1k6YQqB4MDxD4AAuFpiuOMJ/rE/wj1XbN0tXay+POV91uGcEcc1vIWJGg+ELKFYQ9pggz8KPPX10+Iwl8EsZDiUeFnauXOvBzL0zUpFIP5mqkMFnhoyLtocxmO5i4KgKtNJ0jNIkeMPuE8tYwWmsbs8RQtOYx4Kr46A2rMijFba1fLw0+eli3egHsQo7UL/IBxYdvnbyC0prm0YrJfzIE5/nkcd20rDLzfWu35rLwroRmtdGauO5A2tchUYcBvn7jwjSuf9TUY3sW7zgmOFWb0FNmiRm18SvFjJqntDcauE63g2+dNz/u83sYocpMs1A1/3D4E/de9ku09L1E+y/6f0WOw058GDsH5rnf2a67ahQQy4aLPTQBwM4DS2FV0eYNjlSoQ3iVWcXcteuKRbRmMZ6I3xuYs5byWArwQmFIQJk+GtevvbVuAPMM39XDU/KmwvtV/DNl+qqPQOg5waCkIRUNPSPPzGtmGtahRWf563GX/f5vVpvu/znLuzam2I+HJfKk/pLtyaQEUIaT44m3C85x9dXsl4WN3WdrAGj94JaUH/Vynwu4vNfNuh7WEGu8ODkG9Y5i+75kmjerggfhqRrYb5Prl2kL/JSzT8DlUzIsaZ5wIOFAwoGEAwkH/lPlQBBwgqTzZva2+2H/QzfIddE8dcn0QYqIYRtNVtGNSE1yaYGQUpRs5/+R9BVe+BZtE7Ivkf79vUspXn4DUGX+k9PJq+lstFnHuQaz6gtn0Uw4hDmZAB4T7r207Dt+/hqG6SwvrEQV0mIKRKCANDAgs8hDTFEFOkv4UwrMFaIch/KJrJ/4ADvqu7ZSdu/c8mokmd4qwuspUUbVfptItiXMc3OASmknpSETYJH2T+hT/onxohyeMtsVGzdINaI+DYBOsz0kMm7JtJ/39ptuBW3a1lrJ8i4+jS9g2N1lWnXd+/PBX7ssORYtOrAqDOwJWPpy1m0YTwSaa5h6ZlmLNIOeuxM0kw+ATxn3dubtqAf5Id0apq9EjbXBY7CTTqfjU1dJ6yVMRIHx7CwCmQJm/o4nB7wFUPIhCNZEoDZDWhcimI7RnPXxrSwWfFTdMHilxIseAiIJXKo00UiKx4oyvLM2cW1eJrTJYyn+PiDK8OOTDs+CTJG9SWzZ9n6214HudY9xYDnrM3GbkPzvturub1toK7tVNH7GHGuipQtE1vj3zczPmH/lH50WXcPstWdUFs+Ohhm3hdb8ZZY/elh0nZWU20MbfLsyZndS5O0MT8vznYk9EhGb+kSdLRZmPHu+Iz0fai+GC89nbgmVhAMJBxIOJBxIOJBw4HPmwMGoZlqomVA+L9jcyu64EX58A4FETCIz45GrDLoBf146e6UoOem94874NBq7tJPwzT9UR/7jrwOB+VFD7TWOzAnbRYBDXFRXv0BRx3B+DXrWNgIVERDwgXFmfQW0VASU5jDnrMk1z0Tnss81SUTzvc4KBZIr5MzcXS9ZEB4F1jkm+ux5yweGUTCgoGXU6JsE17lNWpA3tqvujZ0akV2zFgTmrd2q2wPArJMfUeaXJcCmgKXKhIgno94xn/m0E/snLdOaClRuAx7Fw2OC+xTpqzQmb6DJ3N0oYso7QiPacAdo3gSWnrZoFosf1UhLZjpKPX8i6qdr5BsDfIsB2wKTaeaXUaheAR7mmOIj0C0w9cngnvvx4Mdce1PWEWkQ6/2266I1FFjV42KPDMcPBj/hPDJ5pb20lPGPgTMaj4ZoU4cN01Q6cmnqZYA+yiiaS6MvYx72jPFlgNTGmaAZTsP/WXSg/pC9PPdReAUia2gs9zYq7u6tFffu7RX2vOhNl9FeqxTli/uMD+9yYGlk+cJPN5V3X8kfu18sHLvC2OeK1F3tZr2/6+64n3FFTIa/e5x39wnI9STT+T8HqL7M8icnHlhqzMf8JvYJMPQGuUv3XoLvpzSXxdKrDd9e7dm9zCclGSvhQMKBhAMJBxIOJBy4wIFHgMs5YSEmdKvxWnoF4Y8395jGjhB20wi3VYTxTExovEA0qhhmyq492nTN9B33uPNzaMy+5vrdIBD7gQQxg6S/MPRlZBfqr+p11b0FMguX0rAYUKDeBPwIPKmZ4KAvAsvPOsaMSqA2f3zS/fnW179SChA0jwC821tlA4t18iQ+RLt1qEiugxkYUH7LsDqlQlF+SgHAWubYjfvnbth55Ibdg9jQgCVyHk7G5McENA3aD7g+M5AosChQUpUfIIBSEWKbBIHZAegqiI/8CLdWSu5Ld1aJjJtz+wSo+RiQqZyeNyraH/7bIcDO17Jf9T7DMYLa41a3bYBSALlAxNUh2td6v4XJJuuJAKLmLq3nPultDkcn7j80/9D9oPdj18GctgHA7NvvQXsmjaTMPz2YHAEqh3x0NHApOuFD6xSRaUdDtJX01ysNAb40Gta07Hc5L+QiYEWfUHSmZeklgXwyVWQae3jWNHBuFVFzRQ6u8FJgcxVtLHxW0Tqlgb5/2HxqAH81sDTyWDZ4H8l3+Jvxn9UeuTezLbsxZtJttL2/39iS8a/7UQpD2Sh9iu+5/LsVpURafvf5135r1WuDA+U+8/5BFxNkqr+Sv+HzGIjGjtpa7ecEG2H93SHO0itd5v5/8UrPNJlcwoGEAwkHEg4kHEg48NI50B154XQqMERCqQRkFSkE72bvoNHB9zKPEIwQlEOgLmMee90yQVBWJNlBruKORl93D+vfcqcndxG6ywjWxQjAQPiZC31v0n3JuCirIg54wU+5JaXpE0g6jfI0qlvQ2C0hcUVVxOQrWvhb1233JEKiEz6+rUCxIoXe2UILuQnIBEiek6Ki2fZpKqQ7y0amzz00iI8Be7XCxG2Xm5CSDgp6Al5oKgetzwCTAkj0jYEgULlLEWH18KxtWktp5JS3U8/a/kkXrScpZAA+oUjAFhjSnN65vWoC98cPz91nB03zGb0OsAm05o62dPaPSLlDzdkbx9LE8ySPNO8hIXkLew132AE4A9aGAL4hmnp9BAhVRvwg3h+/j72x4JFPZyNuqE0/tI20nX/W+0sDlFqvB40CjrOPfFql3fQ6PYOknM/KuHfKhU/b4pdAFFs0rF1MNZXS5bQxwKd1xr9Wr4+pMVpoI+G/daozmSA32h40bawU3N29Gvkx+wD4uvm6Bm28dY19+XG1rcwv4kE4t2OsrU6B0K47lvmzf/FS4O/GL+ROCPI1M2vt4MP4Px7X3NAiPC8QWHLZ4Y/OjwF3L6tUMj4VSVlWEVHpM4cmL0A+ZB6/Vb3oZxvaPcsx7JTe6+idwvRv8bMQewl9Zk/cSxgsGSLhQMKBhAMJBxIOJBx4zTiAQC/AKBCZRZDtIEBKAFcppXz4/WqqjEnYjutVyH04IN0FkWPXBiekKikTdOQZRA2sDjuka+h0tlwaE9u12n1XzJybECztjQlbQeK6JmicNsMcN0V6g8lTgN9lO+YFaH9HgXAeHKHJAmAamIwG0/nTay7DwpaNuqxO7aerW9bgCXVPHq+K/5588BpoJ+957huiPkVVsw+YVnRRpRe5tbPuMoDB8YC9GqGJjGmvRwaE5qeS5vnoIzELxKiUALNl8jM+PhXYHLk3yZG5LPWIQOYKZp3FfM3VMdk9POsS/baBZpPANERJVX7GaxeBIjXm6y9bf+8qaAKLBBzSte4oButqoQqgPPWQU43pg64RMDrwnGc+uUzOFdC0aW4qlax/KdLk+VVpos3Xr0bQeTVfNfrTztZi+VdKvpXTZ9VrPDWGcJymopLN5gg2RAoRQKVAogIf9fCplPlrtUSqjE7X2nbxzTyAV+v4tMoHVv1tuhA7JZqsAKSe2RW0x+bXisnnIXvxEQB+E95KuykN8lUlzGnaRvwVkIwqWjwXw/HAtK+hzQf1FdeLtKah7mmOAnbyu8Qh9Wm63aitUpH8FqlIHjDu35HrNxRFtP2Dpv+7GOqex1F7rkBLWQD3zEXheVB+/jSe4S/+859EQjHhQMKBhAMJBxIOJBx41TlAbkQiZEpLIH1MNVVBW6M5exF1JY3AjGB1WCbwSQP/NADmNvn/9tNvPjv2QaAa54vuvP8WfkbfR0BlbEnVklT1MQmbE51fVdQlW3ZpomdK+k9hVjhEyFXalGctNnTUXQBEvoESyuWTeAbgkSmp5nX11J48vq33kknOgKvoXD3SJSQuqb5IS6BD5pNhGLVQWhFpDaVt28Fnz99PuUyefI9jRQhCq9c9XDqG+JfOrbimUmQAhlRWMXdVxFKBxT1MOo3e0t6+0kxlCRwkP9ETNHWPjtv4iPbcrQ18RglSpHldt/xp56+ipnrKJMAzQfvPH8uAxQFgUmax55jEKgNFgRcn+YzXtHYATCP+ZZV80crEqY/ApX4x0odK0VXNAzwgqSLf4v3JY3crtecrYt9hbwXAx6kzHnVREPsBa3rbQxkyifrpmav3CgYo5YMq31Dzm8U8WelIpI08PG+aplWmtwKaSkmidYTS5eXIMWawKtJWq79GqHIs5Gr4anq+Ku/oLXxsr9oX9YuWJ3Ks0c9V5x00ln201zLrDeWszcuECT62PF83KaejtKvzWXkJfo9hnncKQ6fPNmlkfq9RDNXP/2gMJTIz/pa8R3jly9WvH1756ScTTDiQcCDhQMKBhAMJB140ByTMSuuij2TuFNeE++AqiJHhiBYF08h0DnBJVamdclu5D00gvskcR5O8O+2+YyS86B+oRQLpbPhw4+LRNJZKY+EF22xh82Kbp6gR1A4Gaoq2urdRnga0CXy5XMjShJ886UVgab34Cph4/v6T6V1veZcL+QJ+wTwynSGViLRfTMbyKDb6mM3O8g2mSDWRyhRdrvImYDNKTBhNQPPPlvbMhPOQIDPqL1C+RjoMpcgooTHbhZ8qoh/WG3W/cFDAoDsEFXqHwDQCMz/FlPMB/oLS9Fyn/H3n+0T6PHK7pbVI4xh7yjQ+/3I8N10ApIAlg0zJWmgdgJ/8KjVPaTjPezIN1n/+nxrr96ASTImL8EYITmlJNOf4Rya2AoLy6bRiByNoL3R6g5R7eF5wHxyU3ceHBD4i6JLab2FS/JU3V0k5sorpcMW0u9LkFgCMocg0tof5tqfL/BhDEWKVgkaljL9tHi2iPVvckxmyAv+8vVc1/8ufPjgnqi+a0Ghq1mnhK6wlraBHsXI8OI5d+dMmGt96DOheaHDNiqMe0YUJrPN5lHcKA/evKx2Xv4opN5mYeM1nHCwjbkLrJfSdPW0vYbBkiIQDCQcSDiQcSDiQcOD148AP+rfdN/MPmDh+dpj+DSKzWK1kOME0ECFZOTAFONOkR8gUSDZPMvQJmcULhOio5T9B+H4L+WimsXhaLgwxKByPyaWZUtB/X0y7pNMrBF3dNmFXJ7EiOTBd2IrVQAYzzjH5A1Ox9c01iF1YKo1oIg1AVac7wD9QvnkIgdF8NO7FMj9ZE+IvNpqrsR7z3Uy4F3n1n40Tb6SxZ9eCObOi8/n7/l58vqH9rE4gMMxXpqdKVaKxte5OD5PZxz4AzFYsOIzoSkM5xp9R/pc2MsBTD80pKU8aaHlFY1fpRjCF7aANfWNr3qzQIFo0HZsN7Wez8jPXtyLTfvmNFTSfHXwOCQj02bnbWs2jEQXkAoSX9VG/LcBvPveOOx7U3cnwzAL2rBTKAErAijrpYfEDa9poLHMAMMxyMVnVtYoOZ/hjqohH+neMb6ZmWkK72RkRxIg6zSKNr+oADd75ECCNZr6bJn2L5Y+17hc0rpPCLdduHuDTyxjdgvFIdBURVnkqq+UMWsZ8ZLI6zxutu8o+taKUJF32qd4aYOKKFizSFsocWfOXdlrBnLQmLdkqo0OFPX7nds3MZD8lJUyL531rrWx5So0HfImGPR/ROZe2t7Z1EHyjcNs1Ri3XY+2WTgX+lggCVk4PyTB6M0jSY+4PRxl3Wz6oGvgllFNSjwwB+tulkXuvNHRfKjbcHzZK7sP+81Uvin96nnhlR9Cll7CwGw5xs5284eBJ94QDCQcSDiQcSDiQcODV58D5SCZ0XmSTn+Vo0kKEw79yghaEYxYQWTWNIG0kaRLwwkuadEPgK+eOyPe344aY0j5rGYyrmNXV0CzJfE+CrJd+JXRFU7uS9AyARYLzktYCjOksQGgIKJB0jW+m/DOtaPkaUgWhuFrNYHo5cMcEo2mj+TkilcadPa+hU2oKlUXNzYyA5hCIWVNPOlSJjb56vp4630TftAjtZycmzMcoRlSWHaadl9yM35udC/yhPLGCogxNFn6RAEH55x0Q0OcIsHj/sGUpLZQ+ZNE/L425rKYqP8J6a2htpQmVCevOetl98og8lqWMq2BerGJDLeWTiPAM6FlbKGaiy3xq0DgCZO6fdiMwVTTN6EJzu3xjvMF+1PD723SH6Yb7PilFpIncLNQiNgMK2fMaJq168hQhVuNMh2c6Hk566trbDr7HvGIx7aM0kdJ89vnVTABBbYC20pto9mcTzFonDaLVzl50+HXjp4m5sPJTNjuA7p5ermC2Cvjbw+RVGsZCjjyiIehNmExgCdcD0o8IxNUqJXdYb9NfvrEjA4amgY7ApcawMZmPggDlsl0CK4VAWqxNa+VekfFub1bhbd/42gZk7qwVSHkya7tsT2xK0fxWslV4gu82Lxq6gMz1bNt9q3zk/rK9A39upnn8Dr6PXUyF/1ltpkH3O/L8v087afcHpCThz5t7F7PiX17xQYr+Va3jqq2J+34HE++wJzcc3oAl8Y5SqL/1NyXs1Q3JvrDuCbh8YaxNCCccSDiQcCDhQMKBLwYHhlOhL0Uk2DoCMvkO8S07Hh26WhpfRgTndEzzEORbW/3YC4wbpZ+4g/bPg7ienScNNKilTJ3xFABGAq8Xs54obC00WJT54vhFADOTW4c+naS5MrE6OsToKK7J3s4KgVC6JrQfHjfcGoFSKuXCVHMZye50VvGd7Ts+oO7E6Iami1VzFHQTQXPaBjPlsKZF0Gr0Zp3pw78LA/pWgca0eaydQIPAZOir4EXSZsn8UlFe7+xULZWFAhspcqzMLN/eW7GgMuqTzm8wR692UdqSTx43rI3SX+zhI3kMEJS55u3NlalGLTAmjBnWorlM6zife95opPtlTGuVf1P+hfLF/PhRHS1myVKsyD82FKVEUToUFembbvPyZJ+oxZ/2BFA85VPMXAUu1wnsoyJz26AHlTGp8ZRjNUfAG7TzPcBTA62krZt6aeqqubLrEbyIqfnosvSyRC6af/TRfvYAKjI7PW8qKA9pSOCdtI8bPFuafx6Al8VUVTMT/fDhMlb8/bGi2DJXBe9R5FmbK30GJOAM/FOk31NMmnUtQCmwev+QFyYA220Av7SjetESAKaCBMl8uYA29IAXKp88alggoZ31iy8TYhOaO9XfjiopUvqDAVxIux1eGP3rygP3R+d7rn1Dp8L3e2jTeTZ/Y837kM4N/Bwv/vhhwR3XyMHJ34HvYZLL+zb3KxUPML/N8eulgfuPaDGP0G7euPBg9AfsY4HnfvFhvzHx508gAZfPn6cJxYQDCQcSDiQcSDjwBeMAgilSlMCcRNQUQRl/NPmJAcXWuOO+nH8L/WWPYD8+6qcBSAvTn3ZlNEINjN4ECLcK77ujwTeemTdjxP/hBANCA5ci4yUtzWsKtJZQN+F9SX2oksCP/GyCv+qUGmUpwQXBroYw/tbtdXfvwTHC38jdf3Tm3ntnZyq4i64vsdlpoFiZv4rdWHoaWnPUaTSArV5Sp/9vrqcNR/3VHPJdAnW7WpintG8Cl8HnUlrJXcCHgKWKorq+AcDMUP8Q7aVSYSiC7Fu7VctbGYBlhyimn3FfIEr7sorWUkM9Ou4AVMuYd8ZE0/jGLMzHBtWX6meMnlbrxIIQYSp791bNANtDgG+jPbRcnPKTlT9hPKKt+kjTJ5/iLM+AeFbvAT45StvWGvbQnJM7Ek19SmbfaWkwR2glCWhUWJ2Ct2IqT2AcBf7BTJh+BbTfRcxoS1k0txQF9Rn0ZCQLwITWj3ofEmG5QuAcRXoFcAEIBSgraMdXavC5tmY+qdY58IQL8U/F0qDAhwAYtY/9IXSoU5MqgZhygNIBWku1lYmsALLu1zHp1pjSxG6uFgjmQ/oXtKIPjjqWE1PBkRTYR+6TohvGLAE639qpGYhXDtROd+RuAeYrgPpoWprapaU1QpMqXke/YZnH/pfrD9zHg6r7fneDvyfPDsoOeNHVGPadUobMv+C5dDpPfePx6uw5lYZSEWN/VM+6397q4mc+ckW4lX4Mx2YK6aceI3QQ33kf4HJVv9+h/lU9zjjzqs4wmVfCgYQDCQcSDiQcSDjwuXJghLB9f7hKsnOv4dFkJAB7xZ7EwwyCIuZ00togiqcELCM5aIAPXaqEoI4gfnbyFo5xN1vKUfcrbqf4Q7RbPpdcEE5tTib+LtAPr/qfIJfFBWJrGmsv4e6yskPOxXqjQ7TStjtvdN3jgzrpV7xmLLUg2S6lE1X6w2KL2CTC2habRBNTtYLGLL2tyuhjh4VGfu1xTtJclYCPUGRS2cNfL1Qp6E6Rz2JRYCOBNoHFM4CLQMwt/CkF5qTNfHjUdE38LPWAKJ+i2h+Q7kL+m9L8xotWrxkYF2IbFACOUEycQ/G+8XP5Fu5gKqsoqNI0P9bciI66vZZ3BUxS0/YixI+lfgJ9a/kKppsEugEcSsNYAlQWx2gOGzWXblZJD0I7xtcWT7L46ubwqcz12Hu0guS4nKT7bg1Np8xfc2jDjS7Ms7nzomYrvenS+OZl6mh+O1X30bgBHTSIaL0KxZSZCvdzXfeT8ZHbTP0Kc/B+fMaThb0RMNRrHz9zZs9eab8Cf6SprRbzaCP9y582GlF/nse81QNNgUild1HZZB8K5Mf0Zs5tNJp+b2QW6wGr57qmIXNmRZhVIKZP0A7vEjVYPq6LJtFGOPpSnssWeU/T08i6mqqn+U6OYEiYgNbRAf9ksBLvdu3zA7SF/9dx2X0Fs/WcTPQXigVXovqb3H/W8m5+6D7qzz//HQD3/3Fadv9mteu6/Hk6W392gByfl1KAiu/ZnOdR/N6reD7PlVdxhsmcEg4kHEg4kHAg4UDCgc+VAxJcG2MJ/mhaiChRIHrrtttwx+4Mbc3I3Rs8cOvpGnedW0utuq78Me0KoZE0CblWzfWrdTfAh+15iEcn/XcBmCSqp3h6capBmPTAw+Rw5hI0btYp+lLLeM/4vfh5aBMox+9JO/bWG+toLvGPI0H9w/1zt0qgkwzmfboXL3YlIBAQWnRTYMZKqI8EbfF7ViIgBZEgiAs8TNHerKGvmh96bqGeqnaVf0bvohBs3W0evrWwio8o6q+lsZR55lyhvShts/4q5sGfYvp6CuBuoxnbIJLpKfksRUPzv71Ztgiv0nC20Hq9S6RXmW8ulhQqM40yXfNig4XrOG89O2c8lFatgnatvz4xk86PHtTdV8gCMuYtiYYOq9FYIy6amLZuFFddechze0ok2mbFDfARbNSOXKN4bPuYG2Ei2q+6fB/w2V532Z6i3LLHgMxRoe3yBQIZFTpuRNCe9DDncu2qS7dWAJbkr8wRDIuXH6MKJsJbRFIlGJauFZLmnKiunFjpj6GBhjRL6pNsLgSLCbO14TzIZamK7NxHw+oBJ/eok6lrCU1qKAOe1XN8Xo/QlGpvtkjnssd+qAT+lQrSRJfRcg5Ni/kYEHp3t7zUb7UGKNXLg+PTY/fpfh3w3nVv35Jv5mzM6dimAW7PActwT0fx/t1Si3m03E6m6/6igyVAbKnxtledn/F8/jXBj64qf9suuH+3DZh9hvLzhb571MmQj3d+cjKT/Y8hLcnM+voZRph16ffRZOf9b3VW++qeJeDy1d2bZGYJBxIOJBxIOJBw4JXhgEQoif5gDD7k0ksR5ZJPk1QKU6mce/VJ01Uz8r/Dt4u8bBJWBTAzmObtrnzPHfe+honh1UIfZK4s40mOoCjrrpw5NfgVxDt/DFeQ0CnCqpVYta5nkMPfXvzW/YUui02m10r1sL5asZQOWm8HkCmTxjD0tGE40Y0pkGQcpGcDmHMdIjA57TObzxzQmuvjwcFCVaAwJeDX9YTV6bYxybdDAUmEU+3+5SVOsYgW501MYtVPKUoOCfajJWvuG7UC2swyvodjzFV7Zrap3ImeJTaoH4S2cZqXjxy7o8VHvLVTUQi8jprJj/CN3Zr7dPjQ/fhw3b25OnZrRPtUuZc5cU20jtJW7uW3XeYcIHhKoCZQQ2/l2NWrBwBFjDbZM5mYDgGNQ7SWLWJVreUwAe7zm2iNXXlQcwVMPLMASSW4nOSAjCPEbpY3KrVdf5Vnt9h1uSPAU6VrLyK0WgGpIZpFPQ+6fi/7nkVoFt+y+CnOSoxPtJuWhdNCUSlPMM1FC6qXHXrJorQlp2jbBUQVFGgTcGlgNOJT2OUjfKrHhTHmr1vuIdrez/DF5N2A26Z9KDYLoiwPu/tuJY+f7RYmtWcTtJgOHpfdOlrMeMmhraxlK+6of+zy6cv/Dmjvbuc77luTA3wat25kJhsfP34uIPisZZeI2D9T6ru/V6AlTfYFFpnElisvdoznOf34U/o86Sa0Eg4kHEg4kHAg4UDCgS8QB05JA3KGWeBK2gc6Ucp4XKYwjSXIDwJjAT+zLj6X0mTW3TnqEoRKBdfgfnbCeX3NjRGot4vfm3LlpPcVzjOAzVwEOK8nQI3xUzvrvOtGpEcpppuY4LUi8Zr+UxJTfaBVXYApkWwuYX7aJZpZXGyfTvaKEwn+W0RHPSciZ71FonjAQR7tkADKsqLaYHaq8w663tEE27eolFMKksSML3S/UBG6TI9zwHNay4uBqKv4EKd7oT3tpqNwYrzgS/6W8iu9vEx7AVo8B5V/UpFNlaYk9C0TBOj2tg8CdETgnyFg540op6XmJUilMqPGeXzCl09g2s/T8HMwOrH+mpqfX8r1tg7c5GToPqyXAXEp1ym23EMCRin6cbpXctnjNTci1USjdOCG5SY5XAF9SPooEXnRgjG4zF3DRHWE+FEKjWYFv0Z3xEuDtNvG/DXVz7t05KM5LhFopqj0PcwSTabpZdF+ZUjxoyd2SJAbb94cvXDwy7h61WrD+PIX7RMhVqlOFChJR5Us1gZKF1PMYRrbw3SXeTZ4AVItFdE44guKRjc+jJ69Pjk93x/+2J7D8eBH7ue3f8l16zm3f4IWFoSpCMGmuYbWoP3Qxtc+VQFdu9s990H9zHUfr7m9laqZzuaZQ9iGPD6ot4u33OMe3pH87QhA2ia78PU2APNu/lP3x+1bpIl5vkCux4//fzhCK83fMZk5F/ER/jki4X5jfYCfbJwjC5PisjtEu9zFTFiMD8/AxWY3rtHLAKUAyi8xQb8x8RdEIAGXL4ixCdmEAwkHEg4kHEg48EXiQA8A2MEcdgUgJIE4j1BYdWXL91dNYRaIcCyB1CAdclmqQOTENsItgroE3ZyruEkdQXTl3HzLxJuNwgd8kzJhXKFvlWPVdUcb12MbWofG8I5rEqRkpXSf6JOYFU7lPAnmKnzHZMTp6fTkekOFVpIhL+sq7eWd22uu89EhgVPGrt2WL1vQAS1KnxGEiqTtx+N911K4SRWafi39VYTu52RT56lOvzWTlJxlp4vRisKqqOQ0DrhDs3P8JLWuS4saUgKw1HmDqLAK9hJMYXVP5sPyd5Qv5sFZ14LICNyEEpEJl08FLEMnsZWhlhbP8pT7ZPSpvQg5rjx01f6e++hk1Q3XeSEwQVM5APThV9nOn7t25RhT2K4Bo+wYkEiqC0tFAvUJz56iuXLGS5Q0Gk+0+Fzq9xH8CVNZfhOZPtpK3VJb7lkEZUB+n32gaoJT3QTeSoMtQJo2p0C0VfyrpH2EWpnEhhL2JFx7yjzz0CoAION7oDbyOS3lfV5SgUuVHgF/aoSdkT+mWSPTWf0EEEXnweThNKiR5vx+7/vuS+X33HqKXJdoobXu7XWCG0E7nVtjDeQwJbiX2j7KnbrBZseN26SBqd/F9LZBEKUSwZtmeUE1h93CNr/3Lr9hzGCt5+LuW6Xx6J+W9t2n/Yr7aLji6uNgGiwqNy+mwcSCl112f0vapbN6xv2rNa3l8vKd/bz7KYGDbmiEcfkA0R3eNRjAz4aUM0/s8fk3uIFC+POffDKDhAMJBxIOJBxIOJBw4OVwQMKfF46j8VRBKacRMOWzRgCOFfwua2jdkNHIZUi0xKJPeSCt1Qr+VxVAaLWxjeJGUX2CIIk/UbpFFM59t5q/R4J6tJ5PUSYEz6kP3nD77Z+8YPPsAABAAElEQVQBsAQfrwi8GZ0waybsF/FE6ppZmN1i43i9nccqVmold2vX57ocoek7J8jP8qJO/nM6Pid1hfeRk8YIaDEDVFyb1o6jL4vXceq0UbvYZ75vaKs20egc/Vm4F21qdAi1dYClooougpZwX0eRit+vt0k3QpoK5VDUlJRuRD54FtTnuOXuPW5apNnNldIsEmqMoOZu8w91IvIUZbr2GD/i3QXox4A4YqK689WH+Aj30FRuuOzZOmklipi5Hrlm5RHAEvNR/QNMtXl5IpNwpH03BgxO0HRhZ2rA0HKbCpzxT2lLMrwc2MjX+G3gZ8lH6Tf8hx0e8DmvuezhFn3TkCCKq+xNoaWkPuqrtmXS/FRIjaKVZxQk6ioeMJWLeVVnKxaIlOZSz5iKcmCKcCAZgKXu/WT8kdufHNocdK0yIGDXT0Yfuo9y3yfgT9bMmZXb1NKyYA6cya8DsAvuu5mHaG+bbkz01wF+1u/eWTWfTz0Lj0ldovahiFelTMltAE615qtKDvXilwoN9xulx6ZpvKrtTe6N2dsP0TL/76dX5+T9ET7VLxpYah1D+Vu+JoF8At9nr0FCTXJMOJBwIOFAwoGEAwkHEg4s4cD+qOZ2My3M7NBSDgANUZuePKJSXQL9yHeLfICYyLbGpB+pDjCJJJIsmcbrRKrcItXBIQFnx2cbbju/404Kj9w4j8ZDmho+CmWSA2z1SV9i6UCWzGFZ1QTtqIxQH3e+6TJoQrZrHyKiy4dO6R5Uwkzt4rl+ibI0fSo67GzX3NFJ0wKlnNU7Zk4qk8DLynp6jWBIa17ID5L+ssbcC6uQ6aStCzCTCwFeuKn7qscDbtrWr18BOCOT1kBk2RixOkgbQeU7VNRQ+esFWrFm0am0XbO7DYDlPYL5dJTign67aLhuE1VXs/v+xyfkbxzhn9q3KLJ5NDJ+LCYWjbl0ijH6F8dfXhPoTGcW46+0txk2TmB+hGbxdONTwBFLNgzHk9jHPBWy0kJKX6t0Iyvkv/SAl73AXVCAcIz2UsCrjuYuIDWB0cAt+ZX6YRkLrafrAKaJOOvwzRxX6m5YPbdIs9pd+UDq96N/+j3k+R0Fmt2+1zhqTsXCvB+jX/10lf6S74iddpYn+msWgJrHb7PL86Ocm92+gD8WBfBW61LKFa2lO8H0nYEyMqtlTiP5VVP63MPo230/+9fua9VfNIApkK0UJMqjmUET+a3UjvuLwV/SauB+JfctV4LGW/i3HpLHVDlQ9TztYUKuPKSeL4wDkBbAPB/UXYfgRTKVjZfwkkHzVMqS31n9xP1tZ909ItBSX7x6zkW/5yNA//95Xnb/+UqbvWevYeaAGzJG+F8PKpjkaydebNEjr3cAefJbvk5lfvdep5knc004kHAg4UDCgYQDCQdeKgdOse1DVAbGIdIhhcuEL0iwHQTSHMJw2mzMJmhdvNA6KOKjhXlsl4ig/dLYcgx6cDFy1dauG2I6N8iRExEz2gkmhNXiPvZpGdcc354K1k+zyFGm6Pab33Dl3KFbLdy3+Uk0m0GzGDVuPIvYttgnXEuYF5gqo6FTFE5pL6XduYPwHQTk2Oh2KoHZwAidZVopzZLoqAS64ai6oaTNaQl3/FH9BCL/cfjBtG+gBYJyJP6wnqHX9CJqNMSf0Jtf+haDgQLusD/Uy5dPRSaW0yJ0oI+kYIq+G2g5Pz1o8VIB3z98CZVqZHdDPpZalwean3Ff6z4imI9Azzr5QqVZm07aqD3b16MxkWQoK0QtrkiLTonN2K7PJ3XmQo5KecUawsE0OyPtcRofXp5hAlHJnzLHM14gP6XfIfUAWbBIPUv2PCFFpwFsOUDHOmbj2nu7H9E8G6DBY50l/q0M1okSWyWdScVSjaTW0Yjinzgasm58mUU1ky3bfERbv6+30m/afKPtsXN9xa/Fx8tKWLfWWJD5K3sgfgtcqjS6/Obo30iRdxTteY/f8P0R/KOj+sovWJpUFb2mCc+qrj/N/aPbq75DuhnukUZle538s9BW+bnsz7oH4wdYMyhIEyk0MIu/JUCJ3+fj47a9eNjFF1dmsroXympuxeVGCta13CRV6wjr/Xbp1N0f9Nz3OhsEFnsxcOb+IOP+tFl0v1HtufebOfdgCO8wrBi/pOA6FnwJ7fjrFMxHe/lidiM8Jckx4UDCgYQDCQcSDiQc+MJwQMBSoix6SwQIIsBG13ML9FKpv4MwWCYKaKOHTgQh+rSBtooE8so3KM3FEMGpS66/Vrfk2qSsGCHgK5JmtfgIf7QxPpUI10FCnhvk6osJIK012sX8cOBWJicgLvJsxrowrRdSRFb4olySb5kAlHNtAvy0AU9l1jw3bHQhc0qZRQqkATNk/zjfLjZT5S4MwrVVi8bCYvw6Da5GPeMrv8hOkRDoM8jChBUUJgWwESg6a/bQPg4BiuQlJCiPSgAQ02G1SIrmdYrp7Gf7ABXMoDPswRs7FbTV82avoqs8mLICHfJ1/7DFOH1MLQvkvSzOgQ0j/BRfH40+Nl9KdamlVlwJ9aKA2lZ6w+2md6eUjsgdKe1ua4hGFkBZzpIuB4CithlejsikO6ijx4paRRFHQzHuigFRlb/2PLC2rFFAaGQJCnke2puu2N9ya0RuXa8SAItwP2lALE6emMUWjYzYmC3cYQYU+toxGjDaneiKgxrbYTYnq7CvC62ttoD2vJhXUJ+ca2JloH3oobnUXp2NHxOCizybmre9PIAucxiMFPxn7M6HbVfJkDpFM42G7KTabr9wDwD8HvldMes9xWJgNW8ANodP5Jez7/E82xNtXTSrVdKVKDrtMelnHhB5tt4a8OIBz9KYz20BvvTQAsuvdVnxLwO4wzze5KVU0R26P2ncIhrvstY3r/uAoGQ9NM6fdgHKWo53gb054WtQ0OMjjam9tLhG+1elSQIuX5WdSOaRcCDhQMKBhAMJB14LDki69BKmxL8gBJdIS2LmfFpDJN/qIJPQNPn8ZBorfzvlNFytIMAjxOb1IS2EcuR1CemvPIjtM1JUFJv4aJ4gMKLBHKLBfMZSyR5iywdoGHshV2SECZ65xDsbCzwf4vQk/EpDkwVcKQBOj8ixJwSwMc3RkjyOUwZCRAGA1P8y3znVL96bm0E0J183dyc+THy6niEGVjQu0S/ppkimI4B/i4A87X53CixLBC0q4SOpYl34EiBRxFdpaB8TSVSRLZUD8y3SkAhYxlnWhN5JvW/RYrXv9x4DROGPIuzKr/PwvOfe2Crb8zAFEfOzvfJK/quhNNBONtAoaruPx8cOb0HOU+7X878WmuDji0Y5utI6BPRHQzK0WqW/Y/lKAcP+oVZjg1hRv9A7IhIdAjQUUP255q+5M7TYdzENXQc8TzD7HBHgZloCaKMimxcY9mVx/WE3w33Nd7HM+oRWvoVa6rVQEVPOHGax+vR48aLn7aTRdhnM1zPktfSGCIBONJhDohdP8HOs91todcfubNByqzmvCRZVrfGwe+g6+bb7+bVvu8en0CBFy84aEV1BRX203gV8MM2XUrzlQdCspKGWibReOim1SeP+Obypsud6IUNuUYL7DEhtItB/ZYmW+P7Hazj0Xtnyxjfv4YMZ4eQb03oaAlhc85uE109gxdPQfBltE3D5MricjJFwIOFAwoGEAwkHviAc+LP2XffPS5/YaiTzKCF7Do1IMJ+bLlOSIkKlQFaxmCIFAkaFSK+Ph/uY3tVp5kVekzjVCYkktQp46hVdDvPB/DmCfwHzxcwZIVdWTTid0r7mifeW8401HX2uV9QwEt6jTotdDYDE5PvYqSugickjRA86UbAX+HCAz9nuetnMQwOteJ/rzetiq+lM58AGlEXcBuLLBrpkNKqjrbLjCPNXdItol4jiidlkB99DlRzA+PZmzZ0fzoCRXhacot18RA5EAVEBHrW7Q6qRRWDZQXv9KUF8yoWMWyP3oXJNrrxTIH9i03z3eoCRBiDzA4CY8mBuk+pCAERANfDLJnLJl6K/nk9m4NI3ExCUz6AS5BBgiso/7v9/EVsEdvw/g4vwYSg/YntQeBzly8rAAkc+TYz4p5l4PvpvP4q+/Rz9t43Ky5SvNb+NVm9oPodrAEvRThEAa5Il/+cQe1KKzKAVeTVXCi9RaOPJ2H3/pXlS9BX2WY3Cud3j2up0MT8760Zn+QtKo1wu5M3MWft1eNZyv7D5FpFPf2gvfAbkxGTJBrS75OfoK0eHtJkA05O+124KfWeFRKHXbZ26/krTrZbJ89qFzwD0DO0N/DINHY2nHDUr4wHkzBS6kHOPjpruHmbSmytYGaxkCJrUIcDX9dSQn5yT/mcXjaoW+AUsgwF/P/V38TVbXwIuv4APY7KkhAMJBxIOJBxIOPCiODCS5Im0o4AoOWzRlO8Sby7+hUit3u9P4rC0D+1Jx0lgRWdhU1K6BV/CMbrkIE3JqNi2ACeVwapb6W66bL/uznJoTnLXTFESkUunPChKKYgKUq1GEwDy4MEL8NMZaD3ct2u+pvWcSYunEhfwpD2ctTHy0ZcnkkPjKvNRjSdT1iogqQW4UmCcLRLQW35A33SOjsZR+7h20gRy3YgVP6N4xaxGM9slqMocYSarwKYezsT6hVNbP8K/7U3KtIinzbaBS4EFrXUHLeQ6oK9+5Fcuc8rPDpoEOSFHKdpKme5VSnl3i6iwMm+NF7V9cNg03t/G/1TAUkV+mPJHXQVsylTyDLNp5dNU8BelPlmr5tH2FdBiowETwLmkyF/wZHx6yV2DeqxBPpOzkhYwY91a3QSeywozgyRvz4fAkR4a/hMYG6DFq2WLpMsZYiKpZ5kbsaJgNmV8fbsjUo5AKDXKujQ5MsHm7u6tGuuQVm5x/v4ZFKnwTIrkhWY2TjTe9LcTBodmRFYHfdTENLBoDzOkL+nzAqCL/6t8gFscVUp5fIIJECStcYtAW4f41d7aueUekn5EQY7EGvkL5zDRXgUIC0c2B22XRrspraTuqY14I7/A77S+6/5J8dddvaP8mSPW6+FFNGsbM3xNwabNwwf70YsMpTc5bQ/dxjp/XwiW9KTS7GXdx4OqG0bP0pPav473+0SKLZX0nESb/JosIgGXr8lGJdNMOJBwIOFAwoGEA68KB9KAwDwmcBOARQrBvhwBR81PQU98zkYBNmmN0IQAMk0uNmkzEoMj0LZsTZPM0I2ybbdb2nXnTUw1W/gv5ob4hQGarlmq2Ye0nIm3Aizy8bQSyWoXRbZI4F8yhuQ7rUclT87ANcz4SmjhJGTPFa6zaO9K+FieEi1WwEvgRaByH9PRM4CLzICRyw1IGMbBHNUoM4iOEti9PDk/Hxtq9jU3bLiQafJ2ejtcTo8D5tC8BF5qTJktavAmIPjwlHm2yFMYLW5nrUxAlhVAIX6yzE1FmshztJaFIkFvANMK0LJGKpaSAvPEisCp1i3N5Du3axfuS3O3UiYLKgB8A+3VIwK+yERW6WsOyYN5ikmxQOYWc1C7ZYI2MMmdTk6ZvlayrHitWfyONJnhRYf6paamrwKhWmO0TvwOVbqjAcF9yO0KyNT99rBn57onQNmWf6L9Q9tEIJhCv+be2Vsl/Yqfs/FYjTlJE7gmTeRZHC7dqHfiMrlV+43o9tXFz0ltbKXLlsue6QXFGT7Mjc6QD7PiWubpehZVBBpvb6y6jx8fm6Zxn+jGvwy4zBO86OPBJ0yLIDJCeDQ3SM4zW8qSP5NndpKWGfTQHTbP7DnVRLqs/TP61bJvoMkesk/YMdBngCY4Q2Rbe8Zjc40DTAX0Ub7MKnz6dL/pjo4xrd0mtdETlJffO1x3JxVox+ja4r4oX/Be26UXMK9bScDl67ZjyXwTDiQcSDiQcCDhwOfMgfd7t9xXskfIlYIy/l+YUh1ftwsFgVQikonGfE3PLzScVXTQeB6mD0grsoNp5tCNe+f4YqZIirAO6Hmy+JJJ9f2IkogZMYtwXcC0TwFrBJqkqZKQ67GSP9o9aTopAVjZRfyL+Qv4NEm3IbNNmboKIHkw6BuKgg/qg6klgr2C4myuV9wmpp5Hp9LKSYMaEeUYO+VCUEdM0jFWYtcbaPMExp5n0Vg9gigdAcJPYsBym2BEb5O7Mw2wUgCWEyK8hiIAsbNWxIdS2sh5UKk22m9Fm9V6b+NLqcAtAhoq0/X7S9NMKuCLeCot5qOjNj6rpMZA8yaQKb/VTTSiSmMhvz3xXGVIeoy/GfydnYv0HM+sdvErmgDVAoPqYfwGpehJCWAlTotMlWgtB/YhwYrbKaJVz3nf0+New8xaZ+vB/JQXJ/on/gQwHOjZ0V4meH6ly3eMT7GvxQk/9bVSjBzj29rDrFJaxLVazTSUjccy+yWwDpriO+zHSbPFCwLxVmlCGu7dvU03SPfdQyLGihvijHiklyO8SwIQA1A5l0nsm/wuuwR6UraUXqfnPhl+6t5DyzlorKAhzbpayUeKtck/YVO0lxX8lN+5teJ++qAOwCRdyd7F5ykwoj/GvL5Wnu5VqP8iHbs9mRcLXL5+q3q+f5lev/UnM044kHAg4UDCgYQDCQeekgOtWGjGWgqzOSRmCa0DtJTLShCwwz0J2NcpiuopE9HN1Q3XP8VMcnKA0HrPPap/25GX/tJivpYm4NMkGmwd7VdJ4IY8mJOh/AbnJV4BTWuaIccmPl9ak//oRP/xL6qTNq5DrkaZGn5CPkdp1GqkHxHACsE3dC2hWW272EdKa6R20uzJTBFS0yK6Nh2Qja+f3bV7quU/AV75OI5I1/D8ioB1yub0EK3heYuAMwAIlVXWsLtRJaLvCJNHgi0BkhWwR6WIOeLbeyvu9s7KBaBoDfiSBnKfID8btbyZhorHocROQ5UdpclS6pIqJrYyl1TEWpnVKsDQAcBcNFfZy00CCwmI/vnwr2NbqV1aAOVz1HUR9l1z0XnoYzo64/PGBOCVbhst9fjV3C+7D0cf6tQpaNBBjxcos6VY/eyLG2j2h4A0mQLvYiastWhdl3WxWdi0+LqMMbMBLj0z+jxzWbSMIwIHKT3Irc2qUyClo1OfdkSBpXbXizan925vuO/+5JE9o5/un7s7+NTupHfcZm5zOobMjVsTb1DdGXRdj3Vl0HAOiTYjDegoNULrm3bVdJHUL2nXJSnkOdrLClp9+cuq2NJ01B+JK0oejb+0nnVeJl1Wjlt590dNosN6bH9Zs9e+voPGmfdhBjBft8Uk4PJ127FkvgkHEg4kHEg4kHDgFeBABj9K5QkkNqiZ3Y3SpKxQ8vVIYJ+bokxgp2awVwuYc/24OBgfEK1y4NbLW+6oQ2iW/MClEWwVSfaykss0SS3R9relitKQNqwX7z3IiYv60Zw41N0JiSJkNDlxVYDzagaTRaPEN8JxOJcZX480KvINbLT7aIYQqNG+rFZyFhk2D5Atct3iXqPrc0VK6FfAmxzH5UVjcCc+NWvoKwRUmwDaIXkYF8tlmETrsP+iBgKoohPI6rotU9gzfCw7HdeL8lmWASHbaxVANPfxywsmldLGqRRZ3wprFWBYhhmamGTKzFEa1m3T7lq3J39F81S/Qr5iPpcCmedEEhbIFNDtkfbivDlwxQrrAAC7Emo1Py3oB7C4bKiwf7rnGR106t7f1Pe5O1pz22MfGfVBGl9RaH49+3XrcQzYGvIapT6uu/tRTk31iqbttZ+YcPfXj0172N/fAsjljAc6Xlam2y5mBmKXNX5CvfZXJBTdV8/mQ9K9hMBM22iaQ2TW21sr7NEZ/o6YItPu8WnLvbVTs9+zPTeMs5Fad+t8xFf5tsqHOs1vqo0G98Adoc4kLVEe7SZmz8ekBdkrrWBS7V+8VIkKPSvTDZpVPcPZBz2Ce33BgaX2TnG0yvhbynw++rU+A7c+ny4JuPx8+J6MmnAg4UDCgYQDCQdeWw50MEvdH5M+ANPTxlhZ1BHVRwiPcVmS1a2SyD5E8JwCEIG9eJHktFAVv61z0dgt3QJYldyISLIb1Q/d8eAr9FsYMOqYTfXQGiKdzRUNArjI5NEGbCJ8A7Lwd/MlEt84NAGlZ0SslHR+DtR8KAARm+OXM+8BXAFVgCz5XBbJ29kf5C0giXwQG2j41gngsgLoWcEnTOCyByD6qPeJU6Cfr6S/NDcrfxFjgE0lms9CS2lCs2iL2mh2OkfkKZAUSokOTDO6tkq7ZTdVax80kseYqUr7qQrVCWcqQEuHhPRNQKSKAtTsocUiWwVgDi1rNIAi4Ao8h3IZsOwCApW/MofmSrkuldcyFI0ZJvwkTVYWHtcAZAKa7dWR+W5q7vJJ1bzA2UQVvuMyZQILrZ8QDEovN1QCJ+Jg0t/x334+/jtqq5cf/Hd3vO5KY8xzowBVG4DMND62geZmWkDL4de65e5O7tr5nw3+wo768npd9qaEv22x577eu4vJKcGKPju152KNoEjSagetnvrMuKMrFdUYp+zqab7UU8pl/d6kWd9H26u0INrDGoGRlAbETIppUAR8vrmzxvNA6hE6CWju4tuqfJgqfYL+xGdRIG+oPqqUv6q4kuX3lOK57uN32eJvwcf5991W9xsWHbpajveGz+qniT1j+bhTdftE2/2il/DySCax5gv9mi04AZev2YYl0004kHAg4UDCgYQDnzcHhvhcdSaYOpKMfSrGLwGNEiPJaOcaqZbJy1Pl5eICggx6idwpv6/PUvfwv7z1/7P35sGSZul518l9u5l3ra27unp6ejSbNFgyFmAkxix2ICGHhLWYPxTYDlBYAsQiOUxI4bBDCkAIbCmCMIQhQHboD0dAGLAjCBvLQghEhCxblsQwoxlppnu6p7u6lnvrbrnvye95z3cyv8yb99atmp7pulXn3Mr8trO85/2+rDjP97yLm5xghskidlZ6153MbuHf5llAMyi1rOMseeknOc0O3JQ+8zGT65zLV67Zons6oj989zIJiDJIIoaOYwVvUeMAsH5/8vuAy6J71d0hOwMggSW2cja+vFeD/YHRgmETgDvEN7EvdKYC8J48Ig3JMOu+kHvXbeUaBIMBtDCGRUGVcHPlaDw/ZrKKd2VyiKpoXS6zWuXPVBMTzLaLXYtj6y8u1ZE/6TH+i2Ic1YemKibwBGDRVcqRRFbJc2unATuKiWMSXVRyVgF5uwCjwenFS0fJdgCgURCZV8hfKICpwnCmT21CkU4vAzYEhjbw4SsTeXUbs8iDE5nowqYCMqf43+XaDZfr1t2kAudcZmxA5ozcqi7Lk8MnRPyVFHoSvPFxoqRES4mE/jYgl8mLoNKnv/deVttHHnkaF5OXG/9S8dM2pd8ff5Hcmh2YTcA/fzVMRZVyQ3lP5Xt6RDTc43YTk2ICA1XxhVRKFu6FTGYDIxx087RbyS3dCHzf3R/OfYclw4dfrs99VTV76f46vsCbBKc6JPiUosmekA7mVhkAyvUCeTfHYx/xeFWeRqbhdibb7tH4kABXvGzJKeELfwQpymFd0BsR+Ij/E4K+gra9Lv3Yq31edLzfLrnfPt5xs83Q00W1r/a1If6W4P4r6W8pzV/8P8TVvjdR+qiBqIGogaiBqIGoga+hBipZGDBP1RiYUGoCw5iscDEAtZFlOqtUJWGBL8ZDn1kAU1orhpX8BbIqAm2usM9i+CaLdProA1gLD127sA2AaZFyYQMGjlf9pIEYYTc3KVUAbgCNEmwcJqsCZip9TPuWgw4xOKshwYkZ4HSgvH5h/Uqj1K7vgG+ZRb4xeQNwveVu525bHfUvVk8gSMF+xN5ZX0mrGYGCMpjRZgDlTcZozXy+SNOXFCB9EPhIW9NNVhnUAU/5kbtWrbtriR+cgvk8TVFgnBMC69QBGXXk7AEkjgAU3hSWsSgCOJs1dAcYHk6ks4yZ8W7hMymTX4Ggi4pMVmVee9oZ49dH0CH5uArFJsXv+uMAKsP1cBzqrtuKydwBrMmHsQMr18ectytAZGwmrC4AMwez7XK8EkBv08LQzYoDN64ANgU4pVN72MJd9aPoqDUCDBIJ9kQvTNC7wONL04aBcA+Q1FT3R89vAj5Tz4d6+lgeNp3S5lmVOfed7G07li/uLQIR7ZLORXpvw263SLvR7LaNJRbQFJspJlF+h3qWnqwsGhwTJfYBfq4KOhWKTLFv7VbNTDacC9uNCmzmtU2i8mK6TZv7RPa9ubtpLLt+wdMCOTF58TDl5YSiv6aLAOZJhly0PFv13Jar8BJEwX8Oi/fcZvtDzHFk/ZQBqV9t+X87Lwaw1H8Des+j32I+v7ivX63+vp7tI7j8emo7jhU1EDUQNRA1EDXwnGjgcFJxL+Ux/yQ3YHME0KNMWGRmWcgKnYnHEItjsE2hWW1Rrw0LJo+oOEjKJddQAoWj/Ni9uvUhd9BigY+PYDF7H6gHU9LbgbHyi1gSL7j2+KbbLL4dRpiDxL58xWYPDUh46OjBjn0jej5DjkLMROfRYueyJTsJWBIYOpmdGAgTQ3Urc4uxPBO5iVls3YDIyLX2ff7FMWaSw23895K5G3yR+eIUQCz1sM3aPuACNs6NWaJNBMwr7gj/xWmdRCzVTQ0xn8t8ck+4I1B2lxyVh622RbMNzTdKJZv/VMwo81PAnB3YSrFrjwM88jm1vJc8AzeV65J283seBpAKvboNp6Xn4gHcAsyHJuu2AmBFdDwjm4dSrMjsU8BXwF6MXbdPhN4hMg+QAb/ZfJP8qdWOG6HDaVWBeqRDmEh2JFITYNkhtcgAQH1Muhadz5HP9ZDcqh/K3cHv0PhgL0oCMO3gHJC5kSEgUe41Xz/1bXLjb6v0JNe2ZgYAvSk1qT2I0lsggosCT9WJmiuz6ssX+dE6zIY7AEvmmfLJFetb4cVAcclHWbP2RSDmFcDlW/ePeClCzsuTNux7z5W3AekUBdQqWzoRopdipzkYAL6T30AjW3evZ1+znzOvHuzZETAv4ovZLBP4CCsDmf+Wd1bA5eMeJi/a/Ps33tp1rZ0n0ce86ZXbUaqfoF/lw01+LldqHhFcXqnbFYWNGogaiBqIGogaeDY00JwqqTz56IismuUNu4ClVkKCB2LexpjHeQQBRgI9zYKdqoGrxeL2SWfTm3Xd25kvu9c2X3MjfCszzQ3XK2CChz9ZunTHe6SLeNeCjxhkYUiyZxKE5T2qEZAEMBGKFnAJFzUHP4Y6QoXUVjk7rSQgA1jietMuILDg9vDlFOOlokW9UliEcjNzzb1UboTDpa3GF0DqTDru/ngfcEMfMJ1ZWNjMkKizw5I7PSJi6rDtrjdqLNgfo79zV6Qz2MshjJnSoXQB0AsxtmAslefQCrKLIVVUVjPbXVQ7syc1KGjMO/swy4j92q0NYzmt6wSEhEYmdQIswtDazmdDffmYzY9Dw3O26qrIoFsb5BRtjUi5AftHipAQpKhDlNQmDGELU88MKTJyfCabBOTZBGQWxcziu0n+ygGMdR4wqedUD4DGH/NC5MtDmPLqbbebyBzE0OJ/iWl9Qrn1bBT5zQhshiA/CqhzjOmsQKb8VZULVQBdPpqqJ3R/nl6kw2MA4b1DTHL5HUo2sbvXAfmS9T36++I7x67GOUUsbgDMa5g5gyutbJSL7hte2nW/Q+RYgfN3D1pYCHhw6e+jqkle/caILNxPgmVxVMksfCD1G1KXN4rX3Uv0v49lw92DPsC2SGCm8rny0+Tc8vsP6+4BgaVW30ed2+CKX+D9hm61MZdX0d9S6o/g8oo/hFH8qIGogaiBqIGogQ9MAyyCqpkT1wJg5skhqYiiM6UoYDFZzflFp/JVykSwkIURFNjSanXNSjFZ59pUbEF7waT6RKX9wuzzOHRmXX1yy1WIcNoCDEwD8EvaPuh9i3u58JkLevKXNLaBYh2KtkpK2EvLpmTygceaAEomLN5VjjOHbn+y717NvmLHlUx1wX5yZs6E2lX/pXMK9iNfTZlJKvlmye0FTG6LTOnLRgBwtlv48vVac0BivSRCamGf7CYNFgPpvILgjNBTbzAkcE9/DiyVTqJWKhqwFCgRSylQI/Dhy7xXDtP7sIYAmX0ijB6cDACUOctBqfZWK9FL0olfMafOSafLvSU1VUer6ycoOwAXmeIekwvz1o7PO6pUGPrsbs7QbYH8nYroi1/t6Tb+mRswwS2XrxN5ON9lrhXYy66BS5kDT6bcC0ojCwOZ3TCwtnZOaRmfQu50czGVMo29uUsOVUBxi5cA++T3PCBSrnxkFZlX4LAE0EwHA1IfMkd+eNgzYCkm8uVrNZhRQhJRV2Kp395g5Dow4KeAWOUMlalsCV9hgdsq4PLmTp2XCceW9/LuwYl7/eVtPY7Igc7oU1FLFehJ/U95FmUaPOX5r8EW65wVxvIAU4GnyIVJ5NlstkNAo67F3pKP6ZPc2ckk6054aTRe8/+FH/D5+1bKHf0OC+HndwWnGMHlFbxpUeSogaiBqIGogaiBZ0ED++O6axT7c7ZOkUynMG6tScs9mpGmIAA1gYVk3/Mv5y8xbRH/2MmFWixlK12XP8m54pggJjCY5xU/rla/tFkafsEI6XToOd1P+lya8SxkMWUVoA39sX178o41rWGOOZYPaFIUGmhR0UdhbbJwF+BRYJqqUpcUvemf2CaximFcAQQNoWA58tk7BRwIYChvZ2AxbRa24FdbLfwxlbQtoJt2XcBFf6Q8lUqz4kuFwDIas5CTTyyRWWHLFOlWAYoWZVUrvrUYsnuAhlkWhq1RdHv4E1pUWAmbLvQb1BNAo9Wg3vx8uv5T7AtEbW3kCUozAhgD0JFf85EeBYiUr7NS8n6mj06J6NuFXz4CqLEtbnRh1YruXvFdA0YjgOVw6n0Mb2Suux1S0aiYrPR1UdG8Lq5xUWvfVv6Z+ug+yG9XoFC5PQXgH5KCRYBZrKYBTepJpIPjLsDRB4/aBWjfIPVL8I/VdT1b+uzUMcXlvokl92BzZIGnBGLFpjYA2WJ5Fejpd9864IVBxQCrpLZXFyu3VpN9aVd5aBegUVX0bAxG+O3ym1QZ8NzdfQi7z+9FzOllS4cAWK0B9V8Mi1h7Xvl5WimQL/Sqlggur+qdi3JHDUQNRA1EDUQNfMAaeHfccB8tHrjNbMOdkvdPRT5axVnBDfnT4t7WowKWAWiC7ARdFuFGrNkTfi0WXu3iqdsubGFSSsqPAn54S8t7D+l850SHZeSb2ZvuPulFFutkyZj0t+j2UvKMYG7OzCTpo4Pv3niqhbQ31+31J2b2qI6HsBMCAwKA8oW7tlWyxb8YopRgfrGJT+GEj1jCHL50bFwbUDrCb7Ldw8cT80rFAZLvoeoJqOqjIv377VnmtAI1sgF4EPgQUN0DICh3p0DG2aJzC43puiKL9jChfP2VLQNv65oJ4IUS9iWTneVakC/UCVuNtGgZzq5uFzU0zCas2KPTIZ+eu31tw/etC4kOipgSF5mfAhN5VpDUGURVzQzK+BgW3O3tj7piY+zeyL6BqTchqEi388n8xwykpkf23aV1ITnSx+naT78vNlCAULkqt5nbiGem1R24E14sfOVBy+7ZFmbLehHwgCA8eqFQg4F89WYDYLnQTVoC3YMAXsVY7sHqql0P5lOmzYrwK79PgcFHpx3YbCwQ6FMvMMDv9mxILn2k2hNyjSofYwbLBYHVLn63XZ5r+d/qedV7l1yBCMVVKiP/2/ebmE03zOc0LVfcTzTAb1u/XTHGBX7X7/9T9fXRdASXXx89x1GiBqIGogaiBqIGnjsNEL6HORGaZnbIdsFIiM0TX+VhBEsk/k0zvrbBBlGHWv+urJ5WDi+pLwBaeeYqLHSbAlcAg1Cq+UOTUEOFkjPT2XAmjJhslylN3yRUDR08wVYRYkPRgl3+jgH4KbLu7qbyYRYMKKjeiEBCR0lqEEUUFdsoACpAEyQN/T3N1vxAAQ9lgGUpT+RaxCvCXl7fLluk0ov7xOwZ/fZhvVTKgOI7N2rGsOk4AMUAInUulPS5sG8gEwFCuzA/0xgTDsfqI7QJ/UnwhWathgExgfR7B138FAHKBCOS4tL9CEgJv2/ioykgrfQgh/hqGot3b+Z2O2X3Lde+1QN96gXZ5uOaLLoXy6OvUOHp6l/1vu6R5l9C8BLssBhigbcTorsek9pEzLfkFFN5Y7d8LrAMgqTnpL7F7EpXyie6jTn0UbsNWG0Zw50HUb72Ut30EdqH7YDnoNtv2jN9+vYR4JcUJMhYKAEmMVffgWEtYCrPY2ZFz3LzMGdBn+7cqAOExZaH3tZvG5Wxu53tGns5WdX5+iZX+qzeCen/DOnsqvpb6gZEcHmlH8MofNRA1EDUQNRA1MAHq4FH0xq+ab0lIYhNCdQsOjI9siRM3sA/ZiGZBgFLnV3i4KRw4KrZG65IcJZeClyWc4Bew0Ia3H/IOkjeSEwOSUniz2mAC0YPl9Q87KvJefNJ1QFPz4vMMgUAwHa2sBZzFCJ4CvQoUue9IxbrgMsAQENjk5wvvxVrpE/CJLEjAGrnkgZBBLq1oroyWZZ/ZZ7ovnmArdgotdMi38sRWqmJRvJFZwV65dfXxmdP/oAq8q0UqxbKGQAYLpyzDfUFdmzkZKv9MHq6Tti37jQxJhXa+SEyllNS7OURforVErkaNfGkaJzh0Adx8u0AmVV8dqs1S2UioCafTUVdVc5SmQh7Sax26Ma26nV+VrKEwq4/8vcnnH6/t7pnNXJR1ioD98Z7p/g6O8yCMU+G4byoBGAZtvO60hPzEDhUOhQVAZ2xoiZrZ6WYjye+tn18eKvE/SkUic/McyVTTjHpQeu+pf8eTyvuEPPkXXyG7x+28QslAy7MbLpIlWJoF8p17uOlU/qbuc8OttNVn8t91Gn34aqmIAk3ZfmuhrNxGzUQNRA1EDUQNRA1EDVwCQ18fnDd/XOVryzXZLFaA8QNAXCCDovlpq/ml5vsL63Sl7t4kiMBpSosycaIRCMpv8vT4Wuukv/CUlfKxac/PMtSa9iwHF6qunwgoS9RLV1nlmJCxfGWAWSbgBYFUwlgSfkI78EUHWKGKB+7UCowgw2S28vUsQgiDaaIEkJtJYptEx2aSW3SWOB0BLMksCRTR0W4FYCsAEq0oBfIVYCWLmBRwYRkgic/vkXxgG8wFDtFcBkApcaS/HWCyjxpSYOZMO/Qhx2DKuyZSICaPTHMS+1Cfesjmbfapvv0fSnxPOwd+TUfHPEcYLYbIrFafV9pPk54BstF2hAESLq+C+up1CADzH3v3NgwsJo0W79J5D77WDAf7j3iPlWZDE9oT7ChbMllC+sjDKtj5fgU+BMoVFRZMY2XKUGnq3X1XFQxG/bXeYZArWOh7VTRy4V3iQzcHg7d9V1elBBoaDDOuvdOKu7D19rUTO7l/IeQcQ+bJffZ7jbpSQpEki2566cnvPNpu11k9ia3pNzhN9zE31PP4+ZWakB2P1Zqujfaigq9sI5YrvF8HA0GPO/cQv02r3KJ4PIq370oe9RA1EDUQNRA1MAHrIERvmlFFpRVaLquUmgkJZvat1NhNa/FJ4vurWLNzCyVvP6rLd0MaTDwvWz0aq6Y6bv3Zp7Bmcx8vstKmkLUYMmqX2v/uVhfrRDr2qc6J44uvpWLtA2qroX7O+TB3D/xuRd1TuamSgNxY7tmDGNYqutaKAGsp8FLGjAIcBwaSyf/OKK/klZkG1PRdH3NPA/bJdb0sDkwlq+Gqah00sOfU6kxBCTEclokU0CEwMfJ/uIea8z0uGcBX5B4sU0DxsXZZE8CGsAUOPPgeam+P3mmmU6EsWXaedj0vpdiVsNCXfNSsXsuuZP+xW4KfDdgMZVG5e37beY9dG/cPXUfujV1u40KfYTWvg/7pn0YM9zmtC6kXz9aqs0ld2cTXnwQVGjCCxBHipRsnoSeK0VBcxTJVfe6ZEF+llPxrFQ/cxhkDXNQBemiBsMusDqGQRyM5FNJACib4IyIvEPyYTbd6bDg3t192X255dy3lR65X/rSLTe6DSs+7Ls7pHhJl9+5t+W+TAqeWdWfvY9/dosASpPWA3d8epquavdqZzfnNjYWpu2hwr+4te9++fQW6V8Xz5+/NnP/Wu2u+3udV0LVK7sd8zKnVF68eLqqE4ng8qreuSh31EDUQNRA1EDUwDOigR4Acx6wRzL51airAPJ6gD0BpACIdLlu6TzwwWTlr9QevSSqpK6ppJfyYeHur6z/3oCtzBBch6CnbmvQJjLoyH15Rr5DvH+mQ+z2JmJUFuWV7G3XJqItcVRTY6VHDXUXo/u91eNQb82Wqkr1GcqqeaHYxXuHLVJN9AyGiM28ubXhrgEqBTBtpMVwXqcCQonE7FoJICGMI9WL/dFHdRSoR6xkqB/qSctZEJaYVCVu38eUdBPT1yGAV/50CgpzjbZV2E6Z1D6upEFKEDto1M8lnE3DLl9jPgeEX9TSlD1zGbaSIT1OkCn0H7Y75LtUdFVFx1VE3VDCONpqZG31DKpP6S1LJtQ7N6rcF7FoQ4Bmi1QrfQtAs0n0VpkCix31gFS9LnxGwxjpbZhL0EP62nn7xloCLK0AejOAy3VFrKX8LVV0DyXX44rmK5nS8qyeK/DsyR9YLz7ki/rgiJyobcJzEUyqMwRgEgX53b1tNyQnagfV/t2j225224/8j/svu//vdOS+ffuRfnnu1+9ec82ds0x3u1h2X9y+7fL8ZrOA5Cog9hZRn5UfV8Fhp7MxeWOXGdNabuz+2Y0D91u9PddPdLKZHbl/ofrQlbNT9+nyfffmaNPdn+h3n57h47TybFyfjvz/kvo/LLwQeTYke3IpFr+4J28bW0QNRA1EDUQNRA1EDbzgGhBs/Mpo271cPDqjiWqm5gYZgtiAskKw2DOVdEJrwbASX1vh4pMK0tPJt4j2OSG9xDU36zTdTqHjTvLbbmcEq2mL9FQfjAes4GsZ9KZqJLteMAGPsFwN8OcyImORaiytktbv7fik9OpYbOF9TGHvHTZtv4TZ650bWwBB5Wj0qlAeQQ8EEt/CIEBKSAGD1aKInTKHFVqSqWQdxnFdPbWT6aZMH1UEfhUopgyYvI6JqKKQiqm8qEi+dWDP38ugqUUPdoulzHnx4FGHaRnTfXodJDqZt/M7S/WoKL2qprCwRt8niuqdm3W7d+rfxkh0Zppjf0ReS5kOS18Cmhvk/LxzIwc47RNBVRFQlYNUTGjf/BEbtTzmtoqiis/sJQCdJA1z8FJf/J0lP6wHlHDdpEXJ5M76UWqaLdhVRWQV0N0lyM9ly/yJSfSgeYdzSlPSIl+o16PXoUym5QMoMNvPV9y9jV2A5QLw8g5nqfRhPv9hdw9rBiLQbp8FlqHykLy3+ij6S5uoxfuuYf9HFLpTd4vcuKU8/2dAglbHI/dao8O9mbk6+tgiYu6DWpWXSfj98ux+qVMnHQ4z4F8tSwMeZ/1fk7JID0M+09seJrG4rVpZR5Q/08KvCBfB5YpC4mHUQNRA1EDUQNRA1MDlNaCF84DUI1Uz4svyHZaqvo881/xCb/n840ZQv5ctAg21fMm1Zh03I8/htcHLrFh7rj7Gbg8WrgSzkzZtlCSv5z7svjR9Yy7tk4wX5FI/S+10kD6pibNSbBGpo9Ltux0S26sozcN7j5oWuEcA7vb1TVhCFsy24PeLfUWLTGCl73LNajkMZ53yJXPW/eOe9VvHxFW5EgU+VovAg5g55TMUGJWv3h75EWsEGZLv27o2q33YsVDOJYrVStdlP93Sz9sDTAOMkjldPxkjtDk7I1XQnAZEOx0RHEl+pD5o0QA2Vr6iGkMf9ZFuP5NPqlpzrVDwYEjMsYL6iNHtAOLE3MkkVP3LZDZHAKsSUXaV39P8YtHbOnmtX4n2BCWTKwEoZeKKjpSTYk2R9o4x/ZWulO9yo/IUy3npV3pOlXsHbfNVFXMpo1w9C3tENG51STtDFNP3ag03uASt1iGclz5Lik6Nc96uHvFhKeu+QpAwMhkBEpU+aObe7GwiqtLwkDuT61aoe4Dv9MEE8J2oKfxElmd13mjP1vkh4FIpW+yxv/idzrMl+BppnuJpXNNLPBU1EDUQNRA1EDUQNfDCasAvz72p4aoSNmAvT/ibUwkrKz/5Iq6W88+sNE4atgnkU8M0VqCoh//lO+Uvup38dTc8Jn0GTQQW5EeWBhbFjI9pqy60NsW7TOt5ih89XXf5rI5CLb+/dMI3t1PGoLAnVnCYMITNTp/AMU0zO5RML+023PXNmgEf35vmmLBJqcV/AJ5pts7X998yZRW7pnQhZUxBdwCLaUCtdjLFFRsnsCSzR/nq7Sq/JSxcum66X7+fmlSin3QdMWzTcdtNRz7XaSZXc7nSjlWxxfJKm9U56DgNMLXCPpOKwXfkh030EtoILCvNy7sHPTODfXmvaqaiWcCRUm2Y9Ooz6cOOOR/YYXWqvuZPF/s0tWemhK/qDh8B8VOBV1KXCHAqtUZnf8gz13FiprfxX1WE2QIvC/Qc8s+Kv5t+/8m+1ceCIUy3lS+sxtcYSr8S9JCuo/0R5qWFzAVL/bROqS+91InougVz/YAElooSvA+D2+5P3YPyljstJY6T6vzrUPQMjPSR/3Z4BJPpGJBMdLwqSgCZq+ef1WMR5/rvQSzxCNPj8+7nsyr/qlwXPHGrVeNx1EDUQNRA1EDUQNRA1MBZDZxOCaIyAVBkfaqHUEPZLgU8y66EN5s4iOUygpkZkD7k3GIN+DpnERnajfHd6o0HBjBPBx07fZTfdzvFD7nBQInhPRWw2s035D4SunDvTe7ZOB3Yz74CqTBskDe0C8fzRo/ZmabyXAoIdPr48T08IWm9D3pyfavmbmEuexbYhREXA6i9V4R2BJQW1wQUZQorlk4+c/KzDHMW8OrDaLYx7+wQHVYAS76DSl0hpjLUW/T25HvjHrpLFUU6VUAadx6w0WSSCUie6aSPv+yyfaXNkjlO5EubsGVh0W0g0fpgUCoKNIutVK7GOzd5DrkmkK0xpCavMR36Y4maBpZCaRWimIa6ur5aSuj1OszzXgM2ExNRpY5pwuj1AXkn6F5RZpXGQ2lCGpgi6z7oWC82VC7qe3Wsxx2LnbZAPvTdWJN+pDvtkpqn6h6MH7hXColD5OM65br8bJUOo14ruwfHbQvmc0CwqVbjunuw4V8WXKKbWOUJNSBAKV9LHmOnFyJXvURwedXvYJQ/aiBqIGogaiBq4APWwGiWI+0Ii2+cpI4xgw1FoEBL69yshplcVtzgvLQBg0usZUAA8xra0ZJ8sTFnqnOQ5hDfOYGHKuaxXfpWEb4QcEvnjaPK2vJS9pad78/6sJge8J7OTt3x9DRIsbbdRSdLRKuF07MqE6Jvfvn+kfnK6cQ1opC+cm3zsX6Nq/17XCZWazGRY9i0kH9SDJrMQD1LCcOG2avyEkqXyrUpUClAeb4/5aLf1bFXj6XLOWBLNctAHYl7XVomS/Ck2B7HajsZd910cOxmY1JplPeshrrytbnOfYVAwwyVmMTUDwCTA/2zetJtl5cIe5vFBFgmPdCJtJ+1in68RIT5PVV/ueBDmNQLddZtszCTFj0XILu7NbWULzKXPQVotvEHlI+mgL5YaaV/kcmqAiptwgam08Ws6/sy53QvzaeWyjJ9Xuf3eTptGbi8TH96+aDIsALjmr5MgUO6GT1DJ1MiBFfPT4dymTFinYs1MCaYT6nECxGCJilX6FUvEVxe9TsY5Y8aiBqIGogaiBp4RjSgCJHnFS1cfYH5AfxNFK3jwjJvsKiVYIbFieW9EeaZYjFDGWNrlicVx/lAKtTU1i/qypkKTKtn0TYydfdy9mUDIr87/ny68mI/vRZMiwzAyqSYyybAQ4t1lQZ+ch9+afeScvmh0lMPAFNXBDTEmqno/AnpKQYsVjuYTmr+GQB+vYqZrOUUFJccShBWZ8J+uHbZrW+XL11z4/6B9ZOvwJTZIIuRdGLpSMCS2jqniL2KwjKddN2oc5eUMlsQnjW7rit6bqYw3P1Bn5cEYlphwDlpTxrbPukb7h96P1MF2hFYVBTcUMxkFrBVwgxaI/anfXcwfuRuFW5hMupZxalsEunbFBgaPmarcRSISZ8aZsU3d9G5gik1+5jOEqkWdlOmtPLRfAjTKOZTaVJu7NZo8/ROdcctTJ9hqgVeN3lRcJb1XhZc8xdjHXJWKoWJPiMApT62D3ofAy71MuYlTIqr5YU5bm2KKbAerFi+Jhqw55v7UCEFSb8PyDwbv+lrMu7XstMILr+W2o19Rw1EDUQNRA1EDbwgGrg73nQ3csspP0YAPeVJzCpaawpeGDBYpxetYRe4wKOP9LHa6Pjcta4HLapmBYCnxbcW4k9TvMz++1P5b7IutM5+c/LWvLvuTDkqEyHT8jO2FvahBGCp3Iu3n4KxDP2kt4piegiYUVHKjQo+lAKbQ8xuiwSc2a6WjDW72PR1IWO678vuqzVxVl2muI1p39l8jNZPov4568jJoKqMIgnzJx3qbzKExRweuVnxZQM/Q5i6Ef6kYrmnip7KDRAIAl+ZfruY/OZgE1/eq1iE23VyN7J184P8yvgdwKUH4vfH99xNAOZoOnRH02M53bpXi3cA/PjnYqMYTHFX+0umsnTaY68MLGXBPtd2qu6IFDMKhCMmU2bLApv3+MikVebICpRTLRcBnRexyEvDWD8n+MuqiBUVE70qz5vDt+aspR6/E148vHWvaTryvqAw+ZheFvHvK2tszHgVuEc6zPM7qQCUxYoLDAscKx3Jd+Qeud/I33D746cHxcsziUdBA1OA5VQvouRWyssnRSy+6iWCy6t+B6P8UQNRA1EDUQNRA8+ABtr4XbL0dzVyBHQUgCMpSvPgF0yry+BQ47xtAj/SzQwH8cVizEr62ppuFAX1cqzlonEgaWyoxeml4V7PvTa/8mj6CN4Nn79Zm3l7f09dNEZCTGVKRvV9DT/LBj5tT1MkU+hO5q6HzcF8QWoABtwhdqwFaylzzO0GpphPM9BFbeaKAQpqkvpkiTLL57xiMgTFpirNCDgzHRHRl+IBpgAjUW/HpKY4xlxWKFKQ08aUoS316CcPWyigpJcGMoXdxO9QQEnMo1XVWL6Rura6unajcMO9O7xrSlRfB5MDGE3YTqvlvyawmDIRrTwhhaQ+bGy2PtrshoHfkM6kCaMsFlP3SUxziwBEBWRWRF8FX/L5RBe/m5RI810xoz0AqqYn3850Ds95pdTODOb83Ydtd2O7wrNQsRctes8ivemli3ToVRskpzHnNJc6LyYGp13ThYL6/JHbbfcPTjfcKSA0lvdPA3pJkiHNyoTIYzkA//NQIrh8Hu5inEPUQNRA1EDUQNTAB6wBvzxV8B6SuyuHZFIED0Q1KafipUqoZh0uHZxtrjqhytmrjEkqA62m00WHqbV0+pL2H9PlanW3m90zEXZm224MWFI5nTXdQ0wvxVampy0Wd7detcX9mY4edyKRWZsRK9JHMJZjOSNSSsWs+VKKFRVoEPgQ+NyaApxW528tnvzLgCTNVlV35nwCTs6MwL0401b6SSpqTwGQTnold9AWK+cwNSXno0xmBTLtvvnalYqPWqp5SqK5aWgAlGz13OkpDGydQOk+YHLODFlb5/ozMZkZzGRv2BAcYHqbBspJxbmkqrG+hJrhqsbexN9SPpq7m5ijJsDy8NT7ZioA0/5Jz8xoBRTlL6vIs7qPfm6hJ8/StvDtlBmr5N2k3iojfzA+XDRgT7khjZE00931S37JHO6BNbb7lOElRZXowx5cKsLxpN93HwFw/tZAaVJieb80IH9h+YSLwUz7hr9f/X8Q/ax/0j4ISeKYUQNRA1EDUQNRA1EDV1oDXx7uuY+V7p+Zgy2Hw2oZVjML4lp4Rp6p7k+ElbqtfJODkNvDlsPJOV0PdZe6yhpzNIVJHWN6Oa9DfSTgcG0jW2kLEIarQBurv9R1cjDHMlTO6y+JjlrOlN1mZsd91hFFdYGz3Q4Mm8wZZW6oxeRYIMioGodwrQAAQABJREFUC8/CCSwYq4SZYto7ci5MMu4jmKSBMVgwxQR1ubnj07AEGauYNjaJnqpcllswmV9tCeBD89W9VNF+OK9jMwHmHit4zvw8x9JjAKCqp3bWkmvj3gMdUF+mrhn3oLOFKenQ7cK4Xt/xfq9mEsvtC83UXnjZ54Bc9D9PXUIFyaIxp5KHj4qegSERbJNDLxfnBTolccF8Mq3qvI0/0si+Dx2rX7V5kqLqCryjTxUQeQu/SwVgOoCd7WDWKzZSTKYYzUK+Y4BUDHSdIEAKHipArKA7LXwnNTcx8koZslrwrFw+RVs9T54BXr508dHMAhCpjsbjkTUf3tIGmuABSBkmXNxNvHqhBvTfmYJl54v8FvCTrp5jVX5hJ8/gxQgun8GbEkWKGogaiBqIGogauIoauD+uuY+DZQRnvGfbYhb5Mr5zvaybTWBlhjBDRfmOGWRYVFq3l17HB9S32mx5/W+9GA5lYfxotu8eTJZ9QV/NvuIamc11o/m2qStvT77idrLbbiuzlTorkJE6TPa1EbM0hFEUsJsaa+gvahoTVuXv7LcxZVV7H50z1YuBFgERsY0CRWouIKNP2NdivwcrqaI8lTe2y3Z9DuCoq3x5SstxiinmeelGTKrUJM4DTKFeqmpaZBtbJwzEpSpJTsPVyKNiYI9zqpKcgiKsC70AtCawlWILp+7la1XzE1U6EQOy1FdfamiyqBa+vGl5VVfXQ32NNRzxfLENTOX+6ADfTe+vKHkKRfkWSjaCqfAy4OISRva1ngZgrvbv/TM3jc0U0NTntE221ZE3d5bJcxGz2QKs407dB+5RkCYVBWdSROB0Gc6GPF9nX9kMMj3G8EGQ0jpLtw3n588QF8W26p5K92VMcF+71XAPWxNXR8vN9BuTdEdx/4k1oJcGJX7cQ34H4Vl94k6esQYRXD5jNySKEzUQNRA1EDUQNXBVNSD2KMdivSS2ECZvIhSVlFwRxidH1kuCgmSHWswv/BNDndWthyWps8IQqcPlg8UFtbN0GKoslHmZQqMz4yXt7k7ec61MC5C542r8rRYtwJVLUsFPFGBmBMAcjEaAS2omwytAjP4mZta42oM/1uKefwa4zsKE5TYyd5S/ng88swBeCgoizFTD57IJCyifv23AyeNKGlis1jWZOOlHOatPO0MlhvZlRZHqWzqyMRDOpghj2+U5EMPa7sHAEi3zOr6BAlQpstePGdom3RtIpB+BIg01VQAeosgOCdYzAmD1hjCCozYRiclxii9oLVPFj7Pvx7c+ElmSm1PPAXLpSXLliC6swpCmRzv4Gn7JJ3iL+ygz173NibHaSm2iYEBicWU6K1Cplwsysxbg29tczgkq8brTnhsAMM8UTGP1wkP3RizoatGcVXRJ+gzPwQZ2ySXMc/VMn7Z7VudGfeIadNRcIUjtYvx6Yg2YSzGtULsFWXriDp7RBhFcPqM3JooVNRA1EDUQNRA1cBU1cHe85XYx7fPL/sUMtIAqlGduAImYHeALOIZNyZ+/Sk2vg5f70qrfL/5tRZwMka4fRhVAuGxZ1/5weuhCNNgTcl7WZlWAygJcyoeujamiWMohpq4qYXE+gr00xi0RwExeFQyFgTyjpwsCSPbtpyIhOGGbpJ2m4OehXIQeKGiMEszVIqCLWggw+UbaFhirgcmsZFOwGEUlvahY06S9BFCPKvM+EyC2hNW5aNdD5WSrkRavFawb/8XctKBWBNPjls/BWUG2G9tFzHfLlqPSKkopdCwTW+uSYzG9PdKIyK+1M+jgS1tw24VtzFlZylqoTRi/yZH5UI4mgExeb+jdRg6fynKOHJr8jWbJ82bdS0IY3uyGBfUJE9XQdlMSfQZWz09g8a17kL4WVKcaJvOi6qX21EZspD66bwKDJ+2+e3jU5xmDldQJipjodSaxdnHNl/wulXLEP5drJAs3cOWSIsoqtYvApdLoyJT7brPkDgfc3ce/q1gjSTy1qoHeAJ9Y3hro1j4vwXw0xwguV+90PI4aiBqIGogaiBqIGnhqDdwdbRq4VAd58ghOYZIC0CiUMRntwm1C6eV6hP6pnw8utZQO613btwMBL3Y4YSCAOrY21mAJ+AnbokUwVV1ff94ZNb8yedd9Mr8By7psWmjdpL5yABflvfxI7sN2VmBFwXQEJGXGqPyByjmoYiwaQymSaRlz1Wlr5EhJOC+6/soNxhQFlRTt+XkszoVr67Yd0lo8OOqC3EglgSOc70va8cXvmbZsugIhnf7EgvsU8stRUVUhjGrtFt2YCpcPkyOUPfdt1JAmvK4JJIu19sV0sbgxdlIAR76iMoFVzkUBqGtbJQMwIgv1nIws7q76y7oBQLKNOfMxaUKmIFrhxymr8AZgsFKQL2LBtSYnsJUTt5XddKUcbHiYEDr2zLVMZWfudEQqDqORJYoHxOElgMT0ovo5jmCc1ZF0m0WwVRCpHkIJ10Jf8/PoIogSzj3J1nRJB7tEeNXnvYO2exdzap3fIuiPqT3VoUxiBazXlUwOHTClBJuuq8I5fw/TFzWDakkoskMu0TH3beDahYrrj7+amaVHiPuDPlGJK4DLMX60+F0+LyWCy+flTsZ5RA1EDUQNRA1EDTwDGhiDAuBdWJoqN6GKFk1+4Z7Jw0YVSPUwABj1am5SI0dk9nwD0MWSV4BAACY5s+jSL7Ste5k1+nHKmEG+kr3t9nOYCc5BhQlz9uuCNd0WfplbOe8X1zOzV5lcjg1cyvxURQt+pZSwPJOYEYp5UsCV/pCxW96cMAyqoRaRTcPZy23FgsrEdQZI06S9iaOXQeAm2Us688cCSHXMYxUIRqkrlvJd0sC3WT9+6NGuCn0J0aRQjR1yUfPXec3N9tUgOZ5ZlGDfVuadD8nx+NIu7C+pWCYFfAFhFU8dzwAAXSbUHdK5CEgKEqrHKefyFrk1kZRVK6GMEBwzWq4XSX+TxfT12J242mTD1XI1TEMHPkIuepJomuR4Moah3DLmUyfUmweU+AZjSjsGfVkwpkTu0Vi8p3JJFom26gEmh74kdcLhKrC080FfodJXsbUIs/jOqiggkIL8PEmR/66enTSLvq69dCJ1hSLd1QgMFYrYUxwu3Sy8QQgX4vapNKBHZEgQn8YmL1L68rd8qm6eyUYRXD6TtyUKFTUQNRA1EDUQNXB1NZAHHOSMiVpZMbFghUBz5K23wD7ZYdFNyssAbHXWAQQIWNqa3Sqkl8GhhUEG2LOCu0PAniLMVjZLdNAQ2lKXn6BoLAGiJgylAuiIsRSg9GwVZmyYnSoq60YVQCkWEbQnfzgbhi+lHVkuWuQnZ8J2ucKFR2LtFPxDTcELVla7ESDzNcJ1IlACKmW6K6ZVEUhX2whsrS2J4k3nNqAHkBY8xxpwzBwFKMNHpwPAND1xXZFKF3crQ7AeAGFx5PZJ1TLCxFUvDQowhFleSggIaQYGhGhk/XImtA9zk0y9Wd8Ns0NANm25x1Pra+Y2MFs+cIdz8Kj5KcJpe9oCk6oHP98ACgduaHLIzDaME/QxhmHNAi6XzjO4egjzDHVXt9b/ChBdrXOZY+W27MJYq1R43lYD+ej8/vhAm7Uli5+znp3kdi7VSd/5pTmqFrIr6JBeUMgk997x0N0dAhvOunsu9RkPLqeBEcBSaZJQs31W/7e4XC/PZq0ILp/N+xKlihqIGogaiBqIGriSGhhBbdyfNFw1i/nmmpItstIHTGQgLLN9GKyybEfTy9yzjfIAxU/kPsYqzP5ZBWtxcTNbGG9Ot1m8FYga+2gOLFZHCAtrLcAFbLSgP2nhZwa4DCAkgIkSqSRk0lnno2Asq8X64kvgU/tBRNsXugwnVhs+5tiDS88Fi/30YMGDMVudql8xu4A1P4T/lhwK7iPWUzILBD+2+KbWjwd8fhGscUScqiiP5t2DrruTrwBClJdxud9wLOZPADNpZgDyZHoCM+gjvqoZXLb5Umo29md9aU8l6ZeNpmdn2Jd5rnqdJH6Uo8yI1wpFdzw7Zo7Qa6xwZwSyERTUt0DoDkz0wfQIMDmkrmQO9yhIl/TvN8iNXGNCU6m/dJF8CVoL80xfnu9TZ9Ez80mmMr/+mB0NoeA+FsiHey4WurDm/p0N5KNxZ+6Vwm13Whq6dzNEKE7kXRpyfu6sYDqjlyeKVjuBrT/ALPYIli2W90cDQ0xii5DQMrW3xwmFn70L789YX+9eIrj8ems8jhc1EDUQNRA1EDXwHGtA6Tbak5Jr5IgGK3/EFIOnxVMeH7BsHjgxgXGCuXxcYB+pyoCldlhsLxbrOnFx0cJ/iAw3Z3uY35KeApPJ5qy11Ejra0V3VQAemY8KNE1grHRe7QXOFME0r2i3LNTLJTGUA4w5ZZ5JyoZMY6m/cGD+kJpwSuDJfDEfal1+K3Cpj8qSaW1YkbL1cEyAy5sa+7irpNrAB7QFOHhw3HcbMJnVMvwuJpbzslYuD2CV5H0MOOwDtBXU5TAx9R0DD5v9tnvzXtZtVkvGitbZyiQ4AK/QfwBgXh3ce6jEcG61jo4DrLS9MD+rKODsdeD7WgZsJ7OTeVvpaEIlRecV8JS57JT7avcUX9rhdAwUlW9l1j2aHGJGXQGEAkNBsECqIJZtU7fQnw/6MlSwejUROCW330VyM+1e6vrCgz76VjoZAUOBPPnQruqtPT37EkeRY08nTTPpVmAn6fNxZrFzQVJzKhKBVxFj5XPZHwzwhCWwkCUamteOO0+hAb0kIeOMq9dJzcS+VL56X5+i22emSQSXz8ytiIJEDUQNRA1EDUQNXH0NaKkNDMN6joUxq3tF/FTJJOwPBJKTG51MYzPTgtsZX3PVIoAktRi3BslXWMenz112vwbL2CZaahfQeLN+k2ZTJwACPEPIjJmKdgFNfZLYW3TXBLxpoaegPPJTLLO4VvCcfq7t3p7cR+YgqN9u48unIv/MdCRZmbylixaQYLTzi6p7Va2tI7PcAC4FiMTGpRvMmzPQGODUmRJRlT+l2ZhmYd82iLSKr2u7VzIAXcecV/M0KfnS1u8DRNCDAvD00I2BWkbLZBG+MDaTVgmYZX9rG+AKE90mqmnz4QCzzaK7TpqMdaxuuI8KzKNiI0sptp98MSWvglVFqN7qObVcnPP9hTO8wBBjCrDMc++UoF7sqQL0hDLBD7PHR5FkNfFH0329+XCVbBl2cAEu9aLBp3tJ+raJ0MCLHrrjONFlkGkhmp3x4EEA0ze5DJhQpNYBwE6lUiqYifMxQYxkTqyiSLdHAOOLiphqqTmMq7omQvpEqgNNy4I2cV0vIEroREV+sVl8UScEU4rlq9OAzNtVlI+2P5S/5erD9NX1/0G3juDyg74DcfyogaiBqIGogaiB504DfvGUKxTcxKJvanHLIop5ZmFD8iUirnZYtFItN6zAfJXNX3GdGsCAVm/dtcedk8/YMYtj5XvcMDNW/Mgmm6R4GLl3ex1j5CSDZNMw5kdJm+0NDCxptwQAVM9E0beKthl3SDRTtT3lLwsjpjk2AJplAgEtF88eJXjKWqev2/KSr3PW/Maumg5hosSKBilCH3ZMY7FvrWkTM1MxtWLsfMjafAGWDsY4X8HUs1d0h82hn8+aASVLtuAZzwJtxoW+6UK9Z/Me2Gie/VzXZbmXAt+lUd21SDHyxnsD0/XNnSrRRr3PnvSoYbQtYKJcyhRdN+N9bf28eQlBf8LtGSr6uyHtqvhvv13M2s/XKix9qXaopWdH+4rgCy4y3YSL0qXKEIAJh+5OMR3N8DKkx5zKZQCm7GopM1jg2Qx/TPqyvpMbqNZeVrY6Z3KrhQdz2ksXG4966kMljO+P1rcRsFdAH5UtnkmZYfdGPfM31bkuLxAWsZh15myRbF48P9/lcUN9m004mG8t8nExAdoC5/otR5/LuX6edmdMdNjwnmPCfrEcnoqn7fHZahfB5bN1P6I0UQNRA1EDUQNRA1deA0fTCgvfEkF1YL+S2WghbqtcjgVcsnkihI4UVRUzVBbR57299wt6Gvm18RPrZqteJFdgDzDVB6DNbLx0pFd1WCTCq1I81Mnrl/ZJTPCHjWl+bXMZ5jt2TUdjOZECRAQf5N+pGKYzR3qMBE54gOXbKRapUm+EXgS4BHCs2IT9bvq7P/IgQwBDgYPUWO3DstQAjo0OSM4CctGpwKDAhOqFscbZgavV826rVgGAYuoKhdzHZHRegT608DVTYGjGFmaXPq0HpnyDjBv1PNgYj3Ju2IbVJUBThsBJ49IhZsOwMd28O+nwea9rjJ/S0eQlDzKLvJbo8qFdN80FwPQzF1C+R+AfmXnKxHczWycVSQWAyqDpm5NWlHSiQShFgNF4CNtGx2IwFUTFtJEoRPsTWMAswXxs/qhYaT3648HCz1J96R9b6TItt7pRRNusmbtaJa7Ta1A2bVR/XpJ7YcdL19RgqaZVkSms+TwCMDc3zjKGjwOWernAqwjrqz8eujogeV0J+ppfS+Qv8qzVeCkjFSjPaHbEc2KKOivrvG3ceawGeJ/B78s/T3pWMmv8aB/byTNcIYLLZ/jmRNGiBqIGogaiBqIGrqIGepi7jvC93MzCsqxZNMs0slDx4HIEaJI/35IP4MqktZR9EgZTa+MR/mryWZMPpUqzjR0uRQtpMZQlAKV8EZWrsoz57NbK4n0OEGgjEHJvet/a+8V1smsLbb9vi8SkrswKZ7CLJndSVfvBrPXh9KFTUJtQtrPbeLKV3G5217dJN0wqaT4qJfw/VSktn84b8BFgQVGNbMMAneSWOajMKEdJ4BuxXafjpqtlSduR6btqoQpL50GwQISC3PRn8igd+tQd0Ikj7s9sCFDrw0QPPViZjql3UgHE4mdZJpVHhcitRfJ/lo7dMf62+RFstGL3AizLzE3g8LXCq5Z6RoDTLDs1TyvL4KpKbtH2rOMOJseuT6oQtdX8TvAjfEQ+x5u5XQOaofViy/ytT03En80DMGcwbjIjzhfyBOgBkvGRbvw/AUzMZyUTY+hzr3ff3SrfcBvkQtVLEQX1KcC4zwvnVCbS7Uj23TCy2HrLfFb3fj6teYOwE+TjWGOF0yvbAGQVzEf+wLuNEixwavyV+ucdPhw/dJXZBq8yxm5/0Hb56thtpxj1M6Ay6Ug6lI+m/DYnBVK7SJ16ATTsky8UfT1nZpzn6e9rcV7Pl16mlXEF6JOCpPAc5bcM+nryJzW0jNuogaiBqIGogaiBqIGogTUagAvCXM8vsccEb5kQdVNFaUHyycJ8hilYpsNiHFpJqTLkp/fYoi7PW5Fb45lrExW1DaBUpFf5KRqASMZUsJltQKTApMBsHsYgTy7MU4Cn/KB0/PiSFmJR3xgrj1aYJ8Na0BrDENalAHUIqiJYkYjEtRl+c0cwe1kDlza9lTkqEFAwj5QP6EDRQM6BMOq7RdqNDfzxlI4FWtHMUOGRDWgqYI2utydtSwEiICeQkbXAS34+rTH5JvkTUFWk0FEL8EkAJjhncnradAAYRNPNt1x5VAVgYXbaLRH5t+PaAEwSULpxkQilVB0BRLpJkJ9MjqA65Aut5jA7hX2UzkLxvKyOMrCV++7l/E335el7dlkLchVtBTT3AZ1iMefFxGYOmofpxd8j9SmwXIBeHZF3VOybRZJlq0BFqiooKPbRc87+LurmPBwcIB15CPN1wCXgORUxVv0qOJDOm2zUN5DJOGKg5wCT8yY5cnnNpu+7l74z67kmIE734Fb+hm0DAHl02rf+xao/bdFLjBH3voDQJ+htO7fFGBf39mh8SMAjMdqYVHM/fX10LyCt37I9Kxf3Ea+u1wDvI/gd6rlUqiOer8pjbsb6bp7psxFcPtO3JwoXNRA1EDUQNRA1cLU1IHPX2RRkRQlMiS3ICRCTZeE66WVJ/QGzNIMFe9w6a4FFlpRiieYBiE2ApZipULSAE2iyiJcE7ZEsMpMNcqie8gYewSR0+kO3eU6C+s+Nfzd0mWwl6KowAhDMFfCm+WVyWpQvJiTQI8bCWhkNy9gAu4/kPrzoe7XL5MowCayj/ooANcV4CSxoaGwSMa5QjEbxAX80f07QbsaKVrqwFByMbzIChHTNPmrIv+64Z609sESfI8DXhJyhAstlTGRLPjppEcZl6/rI7YA5HzQ7rjCsuUx7g8BGMKKVY9erHrtRvmtyZgFyWYC70oAIyO25LdjVPOlBwth+FnpKDghYc4zP6OHQM7uSU3MRYPcF5lmChmK7HlRaXFT1afqlnu6FzQuGqFS0OQ+ImpsHIc9gcu05VD/cl8G070oE87FCF0pDsg/AzAFOK5jiit0MELE/AHRJ1yqMJxHUlwCsMlKWS+UFwFQdrs0Bp45TRcGX+pj93inecW8O30KfO24nv4VIMFxJ4Bd/f0Ijm3A4uNQ2Q6TkGQx0opZz20hbxxO8h9F/0HcBhs0/x9xDc1wVtI7laTXAY6RfnQFMBfRJ/x/xtH0+a+0iuHzW7kiUJ2ogaiBqIGogauA50EB3VnQ7JOwosfge4u+WLtssoGvZqmvXRu7BAAACw9jujSx/ZLpe2Ldl/BxcCAuwkMdcUKkxlL9R0V4D2FJeRvkllhmzAkOpHIwygz2EBToh4IwioOp8WKIrcI9MDpukfJDPpYHhMPCFW4MU1Ag9+coGNZJTYVFuV9CDycg8bmdfts+F3acuymxYRbJ582GAAn/6lx7eJOKcfClPAQml/B6XYZF1bLklp8Zc1VyVoDADd43rKso5aYyfumT1q/uhKKnSc3gxICa2UAaghqi/mg/1WuWH7vq1DXfYJY9oFxZ0BDPc4/4Od123eOyG5abr5wmeNBkRUEj+lzmCIJ0SxbaG7H4ZqsV2mIjmIB3+4fIfdA8m+4C+gbs7eujnm9QSk/uQKKk3E/nFTs77YA7DIaac/KlITwLVGZ4BIaYiQYbGPDd5tkwJxpEXG+zk+JOexCBLrwZo6WMfFk8nMoDszcImpCwgFTCq7v0IxLjJMW+r5c8NAJl5zGj13PnnwUtDKylY3xrCcnse4lNaxFlVYK7IXy1TNaCq+Yhp14uTY3Ku7jbEMDv3UuGmgVD1cdmidgKXGqMPiFZE3HRRmpYRc5cZ7WrRSwQFnBm30QG+qFnAcExHsqqlyx8rcrF8LBXUp/ScBfIJWojgMmgibqMGogaiBqIGogaiBt43Dbw12na388dETiWiKgv3UBTIpj1tuypsUAkAKHCndAunpAxpJKaxyfo7NJlvhwDKHiavPeorEJAWaMbAMYYW8jJ3tUTz9Km+tagOZategp1Uvj7AJaalARmojgDo/UeYAQLiqqQfsZV/aLi6DX0aRggHVErt2gHXZWXrPT4BhgwkTHJekRx2eU2dHuBZRaBZ9WyouZJ0lG602FcOxBp6bmIGOxWy4J+CwGwVtlwZkJEBdI2mI64DRDNlTGlrdiwfQxWxjFP8Z1Wy5CeVT6GAnB3bOQAZJrqdXIuIv5hu4kf7Tv8dV+nhQzpouFKPcQabMMf4+5WHgErSfcBWq5/jScvdyG8boBJTKbCr0iegzi5+gU3OKbiOrhmQtqt8oQBJ4OEkgEkKSRWbfVCB6Uqg3rO2Bhx5FAuML7/LMc9QFj/MmcyMZavISJz1vakPuylEk1X+HPR9MjrxwFI1uOZHzrhXc68kbbykAugyk51Meb4LMOW0NQZVN4BibCznjjBTFYCXXEfjYyL7Dt3B+MAVAX+6XcpRqVi/MtvWM/80fpfqSMzlVEk/Kfv0X+XFzhY6FgN8CFMs5tRzrlbFvsRySgYFd6pUMW1u8/zxXOQA47jTxvKUGhgCLvMwltx2Xrb4e/KUXT2zzSK4fGZvTRQsaiBqIGogaiBq4OpqYDjTEsMvwG1Rz9EE1kNFoEH5+bTUnhGgJkPUWPlIDgjuI7PP1SKGsgOz2cI30we2EajU+j5jJq+bNRgfAKL53MkMdE1R+g6BSJngNmo+rUOoVi2THoPgPvLVFEBN93B3ejdU03QWJexrEusK18cZzdcDa81KuTS7jH+2UHne33KHmmd/6E0RxVoGv0KdX5TQeHFGe13ApYxKN3MNA2sK7NIBaKoPsW3yhRWwVHibCia6ZqI5kVmsoBALYA0LQBLIUOpHBcQR3rIicMW+QIhYzi7gMJ8ZuZs1guBUZ+69/luu1t1xVVjMYr/uMmDH64WGK8JWH1UfuBPXdDfcNmakvFiYtY1R++biN7oOwYSAL+7t8XtuL7vjgwppQI3nR06G1/geaJqYnMXbEdPUMd8q/ttasSv9+x4AlkxIDGxerowJwBSDKVNg/YX5q3+LyIqyFeFWbwdmM7wqlfPTipfoAPYxsMD+PAPyT3oZopdiEWYySEVfApQqzXHLdKj7BNS3fTxZ3WAyoDbAXzk42Xqz78FTgUsD4rwYmI51s/RyAX3j46nATipiLL1u/L20k8mXmdGyX6nqGUYT8rfsE/+57nO7puvG/ctpQJbF8ltOufBeruEVqhXB5RW6WVHUqIGogaiBqIGogaumAS3ULV0DC3Xtq4h1GhAuVMFPtMAf4XcpU0MByCIMoxbf8k8UYydz2S6g0oMFFsj8E4Mn01b5SMpn8rKlRg5LAUgxoOojFESzgEKnmMbK3DYNcJXO4cJC23nR9FLHYXGu65qBIuM+IC3KkxRjudCFuhXjIVnDGF6b5/dm4AhmUuzkhsMMFf0fYR57ND6CudoywClQWYG1nGF+KVNaQhsZkyawRWhX7ovXEyGFLGqsTGFVzMsRYQqYlw5J9yGxxqDRHOlKdG+2yRX5sPSOG2003W73Nrk1YQiJODvgs9N93e1UCfjToB9u38v5a9Zna4avH8/EXcwzZSIqeQV8NY+z5ew51GQspa54jbEjZEwR6JRJrJecerB5WQZXuo0JLzY0hsxljQlP7qPO2bsKbuSwg456NfqHwYWFlV7ypQERcmHSCXzzzvRdxtRcbmk406GebwHMPoAsTzRZBQXyTGXGPSBoURHErhcOQ1J82BT5kuyKcKvHU9Fds10CMYHpjmQau1lZejZtoMd86RmUqbjMYtNFEYRDkTfp4tcQzvqt1FeuLK7WMC/v+9u1XDEePVYDMokN5XllLTW/CC7DXY7bqIGogaiBqIGogaiB91UDx+S7bJCOpMiaapSwNRpAi3qxmDKPzBHGUqZ3U0xcu4BJMYzaiq0UGFMRqCrCminnXwn2TqaraXBolS7xJeZPpoYCqzKNtQV90k7AUwGBZKJbNErr4g49gFmps7x+h+FiXkmVIvOS6e7NHQUuSlVM7VrVxfrTDmUOeXAMIKWNgJAAj5qvVEtG8Yyj/FlVOjBivQkmle7IfPlk3rlD2hOZX8rPbhffVzFXigwrEB2CAAlgKdjODNZyJoBJX5k838whsG7q33wdOad7QTdWVLc97MKMFtw2KVHGpaF7N/8Ft1O55jI9kpL0G24wQDEDgFo764pbmCNXj1yjULFx5PeolxGfKL4OyHwPf0TyU4bO/RAMHHZS2/B8IcAU4Ce5oSh5vvRBOM5PAMbyvfT617z0h/wKWoNPpf4UEMqCHyX1ZhPSl3Q23LQH2KUPq0NkXJXJgEBHMhcWyCwDEHNT9974nl3TPSgD2lWKRMYtId90yrKbZ12mv5qjirGBqflIf8rNOeN5l1z6fUyJqCy/YrHexZWUOdbJY74kY1CPqgoqClD6p+hiYKn6Apf2G0WN+XnmWl2J5Uk0oNQjOSEvVK//G57XEsHl83pn47yiBqIGogaiBqIGPmAN/N7guvu2ylfgoMhlmV7dIhdLbZMO7AD7QwAZTGPNn5JFtF8Jw4ABIuVnpk8OB0YfIOXpJyVQob7EhoaFdegtz2pPIEl+mRsATYE4MWkCYevKfDopYHCmXsKa6byC0BT0wRc0DyBbKulDoYtUEbhUEfuk+fsDv1n+9g0FFZSGRH6GOUw4+Wf6bGN6OoYCG2KfajAKP78Wvq8KZCM/2AJBZRqk99C+gr4YTFVjPhnMQHMFzghwCmElhUM7lyN4TTB51iVNZ0ak0938pgXLycxO3GHxIdGBYZyrcKjdPZfv1GE8Ccr0CLPPStkNtjoEfiK/JmPfzr+EbE1XzpbcTWLLislcjKrONYo/E8C7zozasKhtmO8xy1tRdoDLLHJXdvsuW+JlxWDoSjkxogmgYgJiRlXyvGwQqMxzf2S6qIA8AqgeWMqsFZBYce5ag0BUMI3djkxwZW7KUOT6nAzolwjB2cLIPu1C33V4saJ2OQIXFfFdnfGyRFFrJ4okRNEzJL3pfth8kodKoo/xA1VqzUIVcAsYV+RY75dcdNfz1/GdxH/1ksWixdoYiwZ6kiyCrZ/+4kKyl3p0YXwxPy/x++yiH1KnZNDT7HlGR2e08f6cGA6mPP+8yEDn9vLm/en2meslgstn7pZEgaIGogaiBqIGogaeDw0oYqxKGpDI/1Igr4A/mZnLAoa2qxX3kITxYswKmA7WCOzTAOCVnsDk9bIakxmtosZ2AZFiK2XmqP0mgLMDoyngN+YcGMMYPvkpWknW/wEHzM9dNHBqhS5wqY9FGl0Fl/Sh7lUELBK8Y8cDzHRVxOgGttbqChQYGAktw5bzSYVCtuAORgektiC9RWbbX+Ca/O2UwzAPshcQnRf6zAOEAmCbypRS4xQAQIZrYV4S2cUwangzHeXaDFZ5Buvnxw6yCMRl3TXY0j38K98YveMmhVPX3WxhOrvldk5ehSmETe40MDndcJPGQzfYAARjnKuXEeq7lC26DxeVpuOduZiLHQnnx5oO865/XHFTGMi0/gT+ugcVV90DFKkqX9oIPOtbi3wxtjOzH5W8MMSAYJXpEHZzIKAq9s65W7dK7lp1U3SjzV0vIg6Ou+6033cDWCnHXKaY/arncR5GHtY2X+S5Rn+jjPJsOlfi2SqShkWVTB4bKfmFaDoUtdfXhAA62SK5JfH31HPa7qIZ2NcaLO8TFXXITVVQn6wYaIo9Z8lWj2k4toup8zqWnArq0yMLzQBz6dyw78Zlz46H+nF7sQb0sgULaXTJPdA7G7vJF7e5qlcjuLyqdy7KHTUQNRA1EDUQNXBFNCDyTGupZO28tFXUWPkfiZkDbVq0191NomWmFl/WLjTmfOqSaWD1+nyANfoRA6oUDydEp+0QOVaBhGQuWQR07jRKpCQZmtnsZkhcnx4s7IdtMq81w9gpD8j8VfnekWSSKYaJJK3oK9Wd15NOUE11x2vApVqql5WedNo6Mz/NZBzhQ/lY1mEli4BNnQYb8YVpHqar/YmFkrHAPvKZVJAf60YmsaQVURFrua54ubl37OiTzuXocSmD0FSAWj18JP+KLa61wN6vHLmT8htu4/QmfoWYyGL6qf3CoOomWzBklqbBA0zxpXdIwXGPSKfBV1Aw0HwauSZ/wmFLzKDAE21rPduKIhq36rCKMNIHVfx5YTcJOlQgiJRMfL3mJVkyB2lfpynqc4JcswlMM/PPNwiElN1lVD9PMe8bvASpAzaH0w233226jtLiECdnhG+d5jPBT1OfDGa5maw4Ukx+oSMHYv2QLSP5xlXb6jgL8ykfTqO2vFi0G2IKC+AnzUsPc1kzjSUC7ZMUjaP7PmFOMgZeLQHoHNzfd3/hP/gv7PKP/aUfcZ/41Dcsqhb0LHTd22++4f7Xn/1p4jwV3B/78/+Je/mTf2BRJ9l77/Ofcb/8l/+iHX3vz/4117jx8pk6L9qJgaLEYqKtCNdVmODnuURw+Tzf3Ti3qIGogaiBqIGogQ9YA01MBjeyA6KAZizBfFocsVryC1TAGZfZsGVvD9NBQRHPL/naWoqFBbDOCHApsmwKC1CBC6rIxy/d/LcuWF8camGnFCYK2qOrAjlKfyKGtAjgEOhSEKExO8rm13RE86ReuoSl+ep5P2q46lsUN4mF2gWkATQUuEVluYavt/qtvjVfmULqoyKT2MAaet2s6Yk2mpMhCdooCqn6Eqw5mh67iiMoDShDQXnG+Fj2p0Oue0bVxuDI/hh8PJB5KTweZp6lGmOBlD1EVE1fLH8ku5JE+wJFCabljGf3dELnrK0qSjzq7cGkGvjeHrgpKUyGp1VYP3xqe5vGjmU2JoBBWDv5S9KowN8NfETvT8inSYcv5a4zv55rYu5b7MK+tkGOBOkpNDouX6GdCmNlc00AZs0CCo1OALFjouHW+oC4pAIbmwd6M93pNGWMmeuUj4HVOoGG6CtvPqiaz4wgPIBUgvTIb7gIFXVjg4i8tZYbbmN6jPnjoE/anDaxWQG8k7F8jPWKheC09p3+UpAhX+QbKWBcqChNjMZhUHRV3OigzYLrNHkpQmCfLfwu6zDOMmu+TJHsKqtBfcTSqvDYu9/77JfcT/w7/5n7iz/551xtY8P9/E/9Nyhm6j75qY+63MZ1d/TwyL35ud915XLO/YUf+/es3c//5f/YdVzJvfSJP+Cq29uue3zs7n3hM4SOGrif/Yk/7/b3991P/Znvcd/3c7+wFoRaJy/I11iPMi/R9DNRvtrnuURw+Tzf3Ti3qIGogaiBqIGogQ9YAw8nDcDlwRkp5BNYwjxwSNRKBZTJEgxlAghT2gWLdeLX4mfaCSAenPQNBM4Xzaol4HJe0RqdawI5SjWyDSup9CMCa2GhZ32xkM8rwblAHXJ1SYvhgdyie4GxRfGLxMVSMX2VvjYwa8QMUaSlzUsywOJZSRot2i56DXtqMzGaEWADuAzzNZY3VApbOhI4Uo7Fo6HSvOATmEQElRnyFKAymHr/0cCeioWTZvJJxwIZWZQ0HhZhAb0PYZ7UIcqHqXr2l6JjvW40MKwbdabyJZSSNXpaTZwJZYwycpaHQeCTHjL4KQIuKyVMPlukQ2mVXHZMFNXTAoCw4IqbmO9ueEhWxi9UbOVAqUpGd0nfwXmemc3TXVnuUk+BdTA/5c8KmwwXagQNmsC0NZsAa8bITwDOm00my41BfD2LoYkY5umIIEJNouvSPl9m/PyEQDbog3cgU3w3s4BJRX4d4Zw5RndlUo0UqbHtGu4wf8KzjGktPopVQHm/R/xdAKYIYUlVyJfs+ZZ+BFDtJHrQca/LS4g2gY1gGEsb2KAmQqndrAhoJqWM/C6HvFhRKpmWuxy4DFjGZLAHTgzmovzvf/tX3N/8a/+L+xv//X/tPv3pb7cLP/D9f8L91ud+z332n/ymOz5tue2PfYP71I//qPunv+nj84arddytmvv0v/+nlup8+MOvuR/6kR9x3/bDP+4+9cd/YN72RdrRywi9JNJzUSjaDXiupx/B5XN9e+PkogaiBqIGogaiBj5YDbQmsD+QM2lGTWtm+V6KUVMAGQ9StITWQl/nYOrWiC3G8eAYSAELeHMXM0fMW23hbU09oEl2rXUAOFrc6bzA5HmpS1RXMlriekxlx0nQlSCGloTWdzghVEJZv1Rc1MzARqkI0CkyqAd2MKeLKnZ93ZfMdRNs6coy5UyE0DykozA/ndel48kxJpoCLNIsYyadCkgU0PeY87ogfQSWLukyqUkbguFYcBrO5Mv418kkVp2pqPK8hIPkIrorkkJjQNAcG5fTkG/os2z5M8eSiw40JxXdf5lr6pzdHYBecatL5NWRGx5jjkqAp+kg5wYHYh1hlwGZYjG/ufCN1v53Rp9DB5imtq65IpFns2WCEjVgJWHb7F4myhFHPcx2Sc1IZFf8NwUwu0SprU5hTrcFBNEVdZPqrjqrun63yjMGU4yJqrGgTJUsqgaKFSFXxZ5ZtWO/P4AJBWzmCQW667bcI3dsrGyO5xNyE7Pv5E6go2qFJ1uDsd/r448ZXjbQT5b2ks0DzKwr1Xm5kTyHmZzQM9GM8QE9bvWIOlyzFCgt8pY+rogFzfEZDwGtGidpkBCj7m/+d3/L/dX/6q/MgWXoT0AyDSbD+fT2cXUEVv+H//bn3Z/9D3/ihQWXE26dbvkUgGkm2WkFPof7EVw+hzc1TilqIGogaiBqIGrgmdGAYZCZ2yQdw4EirxqeAGiJrWTJrlW44EWyZk9AmFWyqppHgDHyaRsQRfPWbg0G0sPPcE311Eolfc6fSa6FCuHkmq3MHMesBt8af4WOPHhYU41TvrPzujSwgiABXKqeWMjRsAfDd9Y4ct0YY3JGzizcK5FKAZealwCBsZjat0H8fGXGK60WML8cAySq/LUnLc5xFiCj1voew2aqXoZIqBkAkcBukSA+MlGekv6lPyB9BteyRYAlgE0g0MahDxr6D5uc3TfdOY3v/8QA2h56U7RVRUmVzHlFMKGmgVv2Jrwc0J/Vgc1RJ17TRKXFpLUEiBw38Vck5cd0DJPckokqqWg2+uTNJLgMkV2/tfjN7m7z2A3aPrBMvkIaGyEnxhTynjAXkwdZJoDxljt19Qb+l+x3WyTUILdqcbrpMlX8MzH9VRoRRWUdky5l1Ec36DCPeWo2YTd38vhbMmf5pCpnpS+anVfJmOA7ijYrNlVZUOwKYymSrvQn9jhfwC9UYFEXOVcqlTDVhrkXW8/xBr6mInW7be5Lv0Rk2bwbFTDNBgALiBeKzImAQYfNoeW8tMEv8WXpUso8ez0BW8/Wyj/Wl5n7wR/+AfeTP/tz7v/59n/eGOhLdHnpKroH6vsP/5kfvXSb560iKrCiqLsvQgkvL16EucY5Rg1EDUQNRA1EDUQNfEAaIHQMuRYVqMcDkmT5bWBEC2/54VlhM4GRsiN98bH9RG4BK2Mf11xLqqzdaFk3X0+vreFPygLU2DXMLVnvL3+okgy7fpuqH4ZQqpVQxMqeSUMSLq5sBTaGRPfUQMaoEo1VRfMw30t/aT6nIcC9OQNCkT6lz75MSOuYUW7k6p5xA7V4tlCmwPTFPBvkYtyGzdsEkOmTHcMSwhgqpUauSqRTdJ0HUAlI6h7pExhPEwbhFN03FAtaJGBJjkYxfAXMntVGQorVsyippjnfYgrItLySpmjpGojJJ4sZanG764o7bRhJaB+6UOTW4UnFPXro3P7DiTs4AEyfNgwkiyKVb6hulsCMscSM4/tjLIFNrrXwz5xV25jJ0j/miRCO1ufgsO56hxvskx6lR+oPgv70S0cwl97EVv1p3jL9FRhUkQ7tPnBN49r94lobU2odWx10UCwW7VPAdDaLPtVH+lMAcBZgfGWerWBTtcbMNfDbZERkKbpRF7BPP/wj+qxAsKIbj1yL6MoN/C6VSuZxxV5IlNAB4Nmi6VoDRkjk/Pbv/OOWtubv//1fflxXT3xdfY5mlReWtZTCZBIrgrpAQJ8XoUTm8kW4y3GOUQNRA1EDUQNRAx+QBlpTGMtJze1l8RlTuNQktYcYrgRCAkDIpZisu7RIFwhLYZCF5OvWZmuqmrnfotXSnsZJ1tRL58OBFv4CIlkYwAkgyxcPFrxMiRCrsiRVQj+GAnWQWvsLQFQq+O6N1+fOnLdlR+BCMYDUbUHmlWL4kqJ+TH+pMdtE8myN5YM3c9uFbUBhweubZvlZ3jWHp9Y6gMPt3JYrE9zGCmxWl5yTTYCVikxBS+RiyQGgPKPoQa3pNblRYj9VBFhBbyygZV5KpNYSaTPQXwGwqvoqVgNZR8oLkiq4FlrORAFCmdSGojE1jABuCbZuJBazg68iYHs48PklVTfcxyLmsKprz5OdTAa2Sl6HqjwV+4fuarhTbhLEqU2uyh6Bd4aYi4ohVQCbQeXEtYsPEGzstjO3/BhckkxSd+jZq8G/KCkRvVXXDBgLXFo9D8Slb4mUqM1AqoFeZLF7gRoN7PO7UN/yp63AziqPZrcLc4xZcalBblIYzyyMbr6AvH1kJw3KVn0D3SpX5+NLnlyy3B6Yc54ldKp3ORNu0N2TbfdoVnd3XrtpAXjSPe0fPHJ//a//otvb23M/9G//abv027/zGfd3/s7/5rYJ4PNv/MnvdS+9dMvO//qv/yP3K7/6f7vv+e7vcv/Up7zpsi50ul23c+dDVudF/NK9HhMpltvKb/jF0IB+77FEDUQNRA1EDUQNRA1EDXxNNDAE2PQAmCoCRFXYy3nRops/v2pPbMe4GMzI5vWSHb9QD8v81aupY/pdLZPhiZv0H9lnOniEmeXB0mc82HefnXzOHWUOfNNpeolky37Oa7umrBkv1MoCWEIRK6q8ipcpwte4flopK+lmqqgLfeb+ehwI2GUBoTlWsCXzrKOB6rGpwVBey+ObCOCENwN04h85Shg2Fr9YkLrTIeal7BcqE1eyNCCpAc/ZFdss4KQiFsxAE1sBl3TRHVNEYJ0WiCwCQIul4pI2h0TxHSOI9ZdqLxaztNNx1VunrrTLCwpAZIbgPxkCJYnFK9QHriB/TPUehLGRUhJwaSEfgXMAgL3iqcttN13jZt+Vbmgf89O9Q5fdOiXPatGVFU5WylOh3+PMid9NjrWRmauC+VhhDJn6WtH9MHm8SFOA9xBf1NFQHzGsquU7D2A/DBWubO16E1kF4ekTSVdMsMxbMyWfD7bZhl3lAXmlcNuGTH8p6JFMktNFvrP5kkx/Aeiw8oe9qvv84S03JvDQJzfvus/+o990n/zGBSg8OTl1P/ETf8n9xm/8pjs8PLSuTk5P3U//9M/wfJTd5z73efdXfu6v2j3/1V/9Nfef/sx/6f7nv/W3LTdnetwPf/wT7u1//GvpUy/Uvn4LIrsVyCe8bHneFZD+n/N5n2ucX9RA1EDUQNRA1EDUwAegAfl36UNsWDPjE9uiom8twicwZxZp1M7KitFW38mRVbIFudXn0vJl1Q2fVJOknurqkyGfJvRWUkH100U9e5lO8c2bwVpVZhsG4BB7vrUqi6qLDsK59Da5GnwudWiRSJeFX/TBXiZfm38cgDCkr6jge7daNJRSpqSLMWdoeC+7Z6cF3AVegj63cpuWwmKL2KZhASigcdovwN7BksGK1auJKauolqSXZMcAWtjXVoDWQCNIWLJIGpmNGhAyRtPX1vj680Aq9MvtwEzUF8mp/ngWaC8VeaDKlgp2txSxtS4g2HLlG01XvtYEbJKGBOCpGuGOhq361fzlz6jPhCjD8ikd0X/4KBqvQGcD5nGvXnDXyhvuVu6au5W97m4CxtVe/3x0W/Xoi3xyrUjQpEj+juuZX+2UMSb4Bo+JBquPxpe/qz4S1Exr7db5/gPA9F0xF+rI2rgCw6p+xzDKE3xOdbBdJTItLxsU1ErmsV5XXKJN+JRkEp2lcarIh7RAVN5et+jutnbcKSbQLzVO3KvlA/dP/q9fc69/5OPun/nWPzhvITb5D/2hb3Gvvnpnfu7o6JiASG33/d/3Pe67vus73BtvvkFOzxEMcMf92H/0o7zcWH4JooYK+PPJj77uvvhrvzTv50Xa4dbzTBBQidsX/t973ud/9n+r533GcX5RA1EDUQNRA1EDUQMfgAZgTkgiMSR6rAXNIbBMAXNYLbh65Fz0xpNeLDOLPUdCLecFPLToD0XnbJU9hxjhitbjvmIGJkp7M5/gcF5hNoH1miTmoToL0yjft8ZsE6CxOa/3tDvHhYF7i4yZknEAgJsSoCdf3F7bXcYC3/hLWrTP0IvEV/qUdLEZ8RVyYKavhX210yfoSzoTWKoBPKYzAuNgYtoZ5vkoB6ODHexhogpoyepesBiWs2iiZtNv6Di1Netl+jWAYwAKAId/2QyGTaymDwYEsAOE+vugnsSy+h7NBJn6yS2ynnXvlQ5Fxc4ng+vlhM2bYwW3mRHJFXfR1G33cvhKBuMM7ArYhXPaqn+9yJgqOi0dKJVIusi0VqBZ8gr6ao4KyjPkXrSnHfxYNwwcyod0UdSHBONb5sGS1fr1MiuqrbhMqEcTWIF/FD3X/CzxT/WoMD0XL3MZfNgnCA8ZT9ykDfAFWJaQ5aSKX20zh9/lkLQ6JXctt+f2x/smjsZlJK+XhYAcZ9zJZMMVSbi4me+S35VgRbxEUfk//t4/dN/9nf9qqrZzOzvb7of/7L/lfvzP/eTSeR1oVja95Mp3fscfczKhPa9893f+Ufc3/sHfdR/99PIY59V/ns4PMOO2+8zLmshcPk93Ns4laiBqIGogaiBqIGrgA9PA/XGdoB7yqWPhzsK67Mg1mDBbWgzv5EgLEUgs1dKKfk0JMCDBHiyYBQSoa1u/oNahmienfZ1UXxnz75SPp/9k8zi4KVcKsuUUJRU5FN10QlTX4qCz+LDCr2QqT/yp5Su2uJQIQ4DHSGCK/td9UmLCrgFzmIQAWElpSNIFRSiYzHhVT4mCtPHgxjcyPbErrU4At+1R3T0kn+IpwEXYK4sPXhYz4Bxmk55/hEFEVit0tlgUC7ioF+mYmnyk5xEmnxqDrnwxAdhla7k22XpAIlCiT+BwVDF1r7TP3zuje+5Lw3cATEfWb6ika+HPBtbgnLFWJpYAtJ+7H0cDJ+Npq1cZTMZkhn2UzGLNBSa9/Og7ae+DHykIi4yI/byV+1Tjp4vJI7DLye1Mw4+X9BHqqW+9LFgUP28B3Qn3WfqQhnxRT17GAn6S5bIH3yMCDA/7zIBn59XNHU3LtXqwsNxA5djUGIhhWy+i5uKfm8Go4L54eNO1KlXL2UmyFX5/3HMbM+O+9Ltfcv/KH/2Xk/EXm1XGdnFleU9Rfy8q6vvhFz5zUZXn9tqgz0s11KP/V16UcvHT8KJoIc4zaiBqIGogaiBqIGrga6aBNj6XY4AbUAbmiAihLLSzeS38/WK4TNASIE/wWKNuegGf2rf6EpPFfOq09v0hi3UW7GMW7OpcAMyzBnaohizK6WRe/H4GBktBhT7uXsEnbubuYUJZrKQGUDvRZE9RJIMf0wOQkaL0WGCjizvrDTy4s7QjaZFpJrCjPgVOJKVARQVf1i23CWDwpolBegF1sXcCov3B2ADJgOA9apQtwB6ToiIrH0bkTJSYCCZdwg4KCDJWAJgylwzFwBkgNJzB8lK31F4gKDUKUJaPpNXGrrAv5pA6qsunnCciKsAdiGd5MY+mp64/hVUD1J1O2uajW8Ok2XQYJkV31l59J/dTG8FbjaYItVPkzmqObI2JZHXvJZAwvEDgfqu7GqbSGk9pUgx4qpYqUgwEq2M+OtWcNsmDWXG1fNXaqk4L/80Bf8R8NV9X1UuDRY0tU9/VYkPQ74zfgxho0z/3SNFfa/z1YJfh+WEYc+TdpA+uHbcnbrtRwHQ54zbwCxVzedDquErdg2Npm9cWzGUM0zp0L+Vvud9uHrhHg7prkMblVvkYs1giAvNsTauAS4QQ5jk8OHU7e9dWRTxzXAAl5bgvX/i933dvvvmWa9Tr9vLjTMWVE7du3nTtw/OZzZXqz82hf6nA/yX4tc4twJ+b2Z0/kQguz9dNvBI1EDUQNRA1EDUQNfA+aEB8khbylqsvC8ABYHl/O1IjAAD0VwFghuyPAk2+hO1CCKudOr3YnZnZ6Sm5MIeAJ2ECFYFLAbSSRVwlmE0SeVXja3GtkgFgJLuu3x9yfuCqpG5IF0XtfJoi8KMgPgYv6FKM5GXKUFF2KMpvua7kAUuDEE4WHTZgzfSxiQfkbVs0BiA8bo1chwijQmWy6FRgGDGVWRChBeaxQZA12QYwKdCnIiDoleo1ZWf5GuNbyAVVMZApgCnWU4yrB35Bs76W+lUdtRfcq2c23ImZDY8cHoquC6haKqqrymFO1l2GqK+S1ANG3zMAmjphTMFBPQMKpiOALd9Xg4icyyCbQGcxh59l6docXKqBuj8eHJksqqOIuZJWZqVlmOu8/shzKeAgserkE5UUPdhAAWoDltaPADkAPbmPVOWlx4hnUYw5o9icdBYZuY9+ZOaF2bIA5kbSb7acc/VKDmA5dJ0eKUi65LhslN0mvrFt9o9bA9crt5Jb4GUaTgeui6l3ARPw+8Mtd2vjxL1CIKUyvrinPMYHMJ4C0rqp2pQqJfLHkiqofPYFiu6jj2br3Cuv3Hb/5g/+SfcLv/CLrlytun/3R34IXSygxJ3bL/sJrXyf9gjEVMbn+QUrep6bYRsAAEAASURBVFGl/390u+f/2bwAOlg8ES/AZOMUowaiBqIGogaiBqIGPhgNaH2lMssMnaVvBGRZgnmtcTm/Uai6ZqZrGMIHoNHqe7lYH5zWFS3QzRSQfaUOabPwPiK5fBHwuNtggY7fpICcPkOYyBbASoym+hazJZBZVGRVwJvSfKg/gdpT8gcKeA6mG4A3grFMiU5KoB3H4t4kCmIlchjwSItp5/0iX6cHgIsAJyXvUauPvB5sW7OkUy75wlYyeoaThf9KpFirhCI0P3NVTZrNN+pIq9mkQwWPmQGShsxdE6hskLqi1DaQ41e9zH0+uKrQlvam67Cl87EAI3qhq3kJIs9PsAOHZv0FDVg/9KZmnldU/14jAq7NbNuNc8gInSn20MxoNQX+Kvmy+UWWMkXuR/LqAVnLOR+hNYyhufa5VyBJA43GOKLjfrfPJT+WAKaXl298S/PoVQt/3ZNy1r84kBloAeBY437L5FfleALbN+naPez3su4h0V53t2EUK5hSJ3qrZXw0VzGYXqfW1L5CP4osa+yknQ2yLOoZ2yogJ9NsKZm+qzMFoJrxPCtNDOwuDOfD477b26y4Rq3kDk76+GSS/gW/2WJJzxlz498IwI/1s5VvbDxyd4o3vF7Q6aTSd4cdWFumF+7l6x/9kPuVX/oV9wPf/ycWAiV7//nP/NTSuT/9p37Qfd/3/uuWm7NEDs9QXrp10/1P/+MvWk7PcC5s/0/6vv76J8LhC7OVvyWPE//X+F/BizLxCC5flDsd5xk1EDUQNRA1EDXwAWrgy6M9903Fe/A+CuLD4toW7zBu2TomikQoLWI+VgTUDQCDI7+wXxXXMBMnewDFPgeK9ilzT23F9G3WCiy6FTAIaMJC/dq1hqtVYEzYV5FJp6w6Vb8/GLhmq+tOWz130k4F9KHeBJDyqOnZpCm+ohOC/mxtbbi9nU1kJN8iC/92u+OOjk7xeVO9VBF2sj/OsW+gLLkslqe2Qc7Pa9uuilwFwK2A5ABZegChbqdnAK7ewNwQVk39lv5/9t482NbsrM9be95nHu48dPftbgkNYCEkJCYZSYAgDLbBDgSwgxMb5KqE2CauMkMCqWA7g12pSsXYTiKb2KaS8EfACIgNBIMsxhaYUUJqSa1Wt+7tvvOZzz57PHmed33fOfvcodXdGrp177f23fub1viudW6t3/d7hyZj66EyTDtl8n5TYMTYP1mSeZKeKnBQ6gKmhwAdxxBJSlLBHiSB4OF1OKghr9lUO51Wix1jt1jH0yq1U9oyGTQ5JvMFSPI2X4FlmQ6gpvenQrWsjTciXAqtwOARDgRV3wYIKHoa/c11lK3lNnOr9i9fR2MhUxnbSBbLlcRlE7kbEuVM62x+zm+Hec2sJ6q67W701nVwsnYcyDjhxcUeXx0sjdLN7fV0YqmbzhyfC1bccvPYESvTw1cJrCPUv2c6OcTLQUPUNSqAa3kvoDx1uEqdihhLce0IuvxdrMy30g1enshWPnMdx0KoxbZRUd0b9FN7bzHtdwmVEmNEpqyV3h55sLG80D5zMC7b67T9C2wAQGXz85r683/p69L//OP/Mn3LN/+ZI0yk+buEHbk1zbOG75TulHcEK2vdb/i277lTkXv2ni9stJNliuJ7zw70DgOrwOUdhFLdqiRQSaCSQCWBSgKVBD69ErgxAZSxcYZwY7PLBpudcB2QB9qM5AZ9AbW8AZtlwZ82hzOdgn4pu0IeN/AbO9mLKvgq2CdVRJeWUPvDqyq3Iql+OD8/n65cvZouX74c98pnMlSvetWr0umTxwitsJk21vG+uXeLOqb95LMLkL22vpseOL2STp86md73O+9Lp06eSg8/cCrNs+/uR7mAB0XLHMqGOO0Tv3F9W+arlk4cW0mPPnQunVxdSB/4kz9Jly5eTHNzc+kLvuAL0vnT59P2pmFQUL+cXUiPPfZY6nQ66Q1f9Pq0i2fQOn0GrYU30p2d3eiX2FI8MdVc7kMAsXzqWAfIsgST2rfO4sDoGjE/Za4CfOasxbm2lsyLFXMs4FmU34c5mwa0gmVVjicywiWy4Rg2hIAwPapmW07kw7i0B3QN5FTKDFBlHbR1pnkqHgli4e/SPAyi3bBNvdd2+ezt5xcB3jdZr+qmUnHBWNKGMSUnhgvhWa6AGst2uVdjEQqAt/e3gwWda9AO136tj5OYB+GeoVouXt1J65CSE0KVdOdgKbeYJzqg12Pz+7Fsd9TEuY7Aq2hMP1GkbT6b+xucaVPJOoXp1C7SFDltkzPtfts8P5CMdVOv87E010QldgQTPkmXAJftpmFP7C+2oNyfm4eBJ5SMYM6b69iHzg/m06LU2VRyvlrMyxDnQB3euwhk3/L2L0u//P/+Znrnf/Z96R/+L//THdVjp6p43qc7qJj/F3/9b6Xm8tl0v3mKdRqcXNe76+1+ShW4vJ9muxprJYFKApUEKglUEniJJDDcz1uOOtxOGWXRDXnYVwJy3H4JDhuNQaiv3tjsp1OrXTbC8jk5mcfv6gKsFmxOXHEjtvc+mE5cm+PDjz+e/u7f+3vp1a9+dTy1TYFkG5W+r/mar0nf8e3fHvk2NoqN+XQdnLdbuWKKgV/G6cd+7MfSN3/zN6c/+03fFH0bT/XvlqJxqeql5OHy3EJ64MyJtL52Lf29H/3htEFAesGjjORwMEj/4bd+a/rmP/fn8Ai6B/BJ6f/6P38inT59Jr35i9+QZmZnUKVN6fr162H3JtjaALDKEwow6qj4Btq5QwcEUdrqRdgShtKVuQJcHm+tpvXRWmqMCXWB51ABne2apgGk1wIcH2krGSfeE9UwtibUzFg1V8axz0uBEoyaT0A4wilQgCXyj/nGecxizJ4VFaA2s2iZIbUZe6SaawbVTVRZ54ndqD1hOVaBq/IVfAksdVxk3w8c6DhpJroa80eNspaqqvZw4nN9fCN197tpY7KVTrVOA/zK5JyjsovDnIvXYKgHsOAnF9IxVGEd96UN1jDsb9jTWYROj6CplHVO5TGlD4w+iC3xIBz02IkWb1M6MLIPNx7BrhNqi/qig/xqv5l5fWuByYcVjvXa30szbeKXLrXT5TXUyhnnHmFtyoSIU33YTausk8uDy9HHXMNhP8q8Mt6zvLRZ23O0GeA6Z9//d783/a9///9IX/5lb2MdfkP6kje/Kb3iFY+mcw8+SNtoFriInyP5cqDHi5RLTz+dPvrRJ9Jj7/ud9DPv/tfpzJvflr7xv/qvnqPkvfloOMzAv3UXm+l7c9R5VBW4vJdntxpbJYFKApUEKglUEnhZScDNLiqEgIQ1HI7sA2rWh4CsegcHLWy6AYwzAMzt8ZDN84jg7KO0DJCM/ffUOGSMtIuMrfPt++fYq8eW3R+SG98f/MEfTHqtdLO+CUP43l/79fRP/+k/TctLS+kdX/PVqdfrkY8QDbBxsoQBLwQDgKet3hig0U8nSvRFnardanOW+5BDTdiOTGE4OaHTqmVq6yggWV1ZSDMwsz/4X/9oWllZST/ywz+cHnnkkbS7u5t+6qd+Kr3rXe8CTJ5OX/olXxKs7X/5t/424DODCzqU/vgP/iB9/w/8QPqZf/XTqcn9Jfq9A9laQ26MMDb/tmu/BDGq4+psZwdWS5Bk0hGMKsOmNgDzZEsPodgmYs+obWEN0MWWOJ7T+wwUGeAQu80W48rxG+MxgBxgSVuyjk6QR8fb78MiFkn2sc3cWuMQA1FBHTnFpCR/clvlUVmW0+lRW9ogfcjWrw3T1f1rwbQhYfLZU+xqWSeO15cUgi6Tc5xTUT+XjiZGhAq2zZp/Z2837WDnK8jfnfTSI+0LPNIm17EkQPkAxziwfHhSfc1KP8prw3uJlwy7MH8CPEFfH6bUFspWi8ZtJn1+8zXp8vhyenLyFFewqny0K33/6I/Tm1tvwpXRdmRfBlr6vOx7MKKx8BmlFDP9n+Hvw/cID59Z4uUC9fDGoYe8VSOv92bT4vJCulq7mntCZ2w/+uS5FyQB8Wy3ma5vA7Ixfq7j6MhcHdbm3/iRv5Y++P6Ppsfe8zvpx3/yJwCKz6Srz95I/R4OruYX04kL59KbX/Oq9I6vfnvU9f/9219N7/vg4+naxy+l3e3NcNqzePpsWjl/IR178EL6mh/9sXTutV8Yee+3H4lzX8ZMmaXeNyKowOV9M9XVQCsJVBKoJFBJoJLASyuB7QkqmXjVNK00l9hkAy5RFyydnujUZGG2Fc55gp3DvqyLG38Bp0nM4FZ4QpiFfeIyRsI279ZU7KOL5/lwbHWVeIx9AMgYO8xZnJf8hfSHf/iHsCvvTl//9f9BqNDOYAfZ4SuraR2CxSFqujMzc2kL1dJpT68Ckubx45FHxmwb9drtne20uIid5/xCqIOGM51rNwAr19P8TDc9/sH3p7W1tQCWDz3wQNpcX4u2/vJf/q700SeeSD/7sz8Lc/Rl2IPupZVjJ8LhkB1pwZIZrkPGVUc/Z86cTavHJmlhaSv1aHNEPM4mfV5aWIxQEQKnm2ub6ROXLwGgMthbnG+nlYXsCEeJNLHpDHYQeeipt9s4na4Mr8LoZbXTOvp8rVpWqRS0ysrJCCqTMtXxGtPk61SMg/3Epq9jXw2vAYvZzM6TnDPtagVMA4AsdwPstAC42jXuw3y2sIEcAJSCJS0msGRMy/Y8LteNiVpLO/s7UV8AS9rKwDIvEF8OjOmDQNEUQBR2sc44tPWdoCNrE4JlXyPYrs54Hh8/nlZgdE+0jguBAeiAN56/enZ4APpaoN0/9cix9KGn1tNHL24Eg76I/eM8tr4dWFGdQykj7VFLRHe2fjadLew7Pzj6ULCYhhrxhcryBA+/JuRbOh+SJdQG1N47Bl+k2BcdU6nurV2xTn1MaziI+gj92CXMjM8f6jyI06Erwczu8XeSa881RQF+tLtMqPsO92hnDnY4pCF83U+v+YJXxNe8AXCzCMOL8sc++lT6+EefTt/7N/92gO9v+PP/UXr7t/+1tPjGPw2wvN02s2zvvjv6ooOvqtiN+8yZj3Ndgcv7bsVXA64kUEmgkkAlgUoCL40EPjg4md7Yevq2xo19mSkq7NZggvzqtGeIk56bhFo4BV0zZOO8Cdh0E14DlE6GMD5sfBvd47fVd6cb4IhQm9TGUs+dYc/4hjekf/JP/gkb5z6AcD7AwG//9m+nX/ylX4qg9zKJX/VVb0+vQaV2Bvsx99kCXJOA65lnnw3W8Wvf8Y507txZ7CsBorNz6beo4/EPP57+4nf+xQCPMnyCp0889VSwlufOn8fLZy9tbW3F8xZA4q/+lf80ra2vR/3zc11Y1f89nT17Jn37t31b+t1//7vp3/ybX4g+ybbKfAqEjx8/md7+9rcDVobEq+wCMPbS//3PfzK96c1fks6cuxDMm15lFwg5soxDmFuTEKthXJIiHU/H0tODi2lztM0TytVniZ8JIFV4JEOqyDyagikE0IwAOw3AiuqswZryuA34E3AHOCFvFlmuQ/kZosOb1tYEYAlkdYSjJa5qsDJ7Ah1fBKjCa0nBqakJi7exv0XdqMGyDnTMpAMbU+YOczv5N98LxjKY1XGA6rhL+RhPjMnS2FfiCfbK6CogjfXQnGeMrbSKWvQHttrpdGeXvuVaZV4fObeQQ99s92ONXt/YC8/DS4D4uRnVtlGbLfJbu6P13+tar0MNFzBIfMxwZBVgnR4qpGJx6UXZJBOsDJS/j3o4u9IOWS/HZdJr7Dyso/aN27t94mLWUXk+BuPqSxwrvT3pgVhnQCW4LO1gnY+7pS5tvPYLXple86demd76tW9LH/pjPPHynmG4dDxtVcDyiNhY+sybL4XuLs8jBe6xi/w/xD02qGo4lQQqCVQSqCRQSaCSwMtPAn1YLlmncPJSdC82IlN7YNU2F2Evy9TbG6dnb+ymyzd3A2C6Q9+XBSPDkb17WeA5jpaRHXLD7vfEiRNhx7izs5O6MIs/9dM/nf7+P/gHwT5qo3kVZ0Df//0/gHOd98FMzWbGRwjDTt/yJ08cT7/+67+efvnf/lvAKmEzYA/bqKy+GwbyyY89GR5hR3gMNQniNjbWo+4ZNuMjmC0ZLgHNzjY2f6dOpdfiZGgLL7Q6ZfnQBz8Y9qKWVU3zPIBUBvPMmTNJFtb23/3un+E4oU1Y1GY7/eZv/nb6tV/7tXTy5Jm0C3hd6O6nM4vDtDKL3SOAZn+AR9HnSB1CfDzSfQgWEzYYYe3Aru0BXMskWCzxh8yyDn7EL0OYvxHfCeqZxoWUOawDgOoA27CLpFyeK2fAOcgw8LDeHE+yjQyNexqJg/KJvORXBn63UmYsrUHZ+WLC87JGW6jZBwB9roknLDLr0cFQdJhBBPC9ZQHJyQqa1/rr6emdi2kD77X7AM2FUS/9yXahohydw3YVgLYEg3j+5Hx65OxiOnuceJes3UvYaD7+9Fr6+LObEXbG+nLiSB/8LhGP9Ez9dPQhZEV/VacWnI8YzwD7zT7fAWtHZlc5WE2P+K1zhkCZSjroWV5sB1OmR1sFLWhdwEnRQoMXJpGy3MtiLV7WGDtz0BegH31W5nmuYwdNAj07m+p4pZVhrtKhBJguXnigUn+7UsVhpnv4LL8auYcHWA2tkkAlgUoClQQqCVQSePlIIADK/iYdWs2dusO+dJ4N9NbMKNhLQUGfTbWhFxYINXIDhmhjFxuxhTlUzthoCxBe4Oa2VJcsmSXVcods5L/h678+vf71r0+PPvxwbOoFSj/wQz+U/t1735ve+ta3AuQOO6uKqMHlv+7rvi79/M//fPqrf+WvsOHupKvXrqf3v//96Yew8dST7ABnPSN3m3dJqk/KYGp7aRrg8mV1pZAN13pCfTWgU8b1X/yLf5H+zDd9Y6jFfuSjH00/93M/nz70+AfTo4++EhE00m/91m+l17zmtWl1dTndvHoxnVjIjF4gQmQkyPpkUKIBMPn82VenP9n9MCqsQzyq7tIjwNqBu5tDGdg3AUoDFgy4RugNVIeRIxgw7ELHMItl7oB/9OEAz8Wc+RQulIMSEpwJskJN2uc+tt/kiZx0XkbTMUzwYuMTk23HzTjLrKmArAZQDa/EgLZwSGM2O8e1rGUum5u5dYaETkPDe0CWLzDGq+l42ujUEk6JD8dAHtdQG9XH9nwHdriT9pDBBmz72tYgPfnMJkwj8wn4W11E3VqDyVuSvXBE/X4RDof6Yjzczy8gcp/1Wuxou0ewZR7DykI3XV3roU7O34xelgV+paCjPm1eD+VlF9qMZbKOe60RYJQwQEdTrteeiT1LvD/EsdHmFVjZhREhSvSUzEsT2Pr6gNitup6tUkhghJaF8ldF+n5Mt6/y+1EK1ZgrCVQSqCRQSaCSQCWBz7gEDDCxMzl8nZ9tzEqod9i8IOMY9oEd1GMDjLLJHcDmcRtbs07EtNzYBbiw83X7lhm1vJErGalc7rDOOCPL4fPDZwFgUY0VgLzi0UeJObmLg5+9tAWjefLkyQB2liu34LYqczhAJfNtgE6Zzw/CNMogvu99hCqBhXzjG98IYABc4lRH+6s7pbjrJrRQ021BdTQBzNmBC32lkGBNe8syyYBubW2nBx94EOb1eHrvv/t3gLkWXmhvpKfx1PnWt/7pVB/BJhW2k2U5j/XW8vTlc5zX0ufNPJrm6oVd33gLBlMWs4/jm2wzG5AM1CFgVRb2VmaxiVqrtpj7vBAY69EUQC54NF5lhO5gEm+dG20ftftT/oLLMgke/ZjiRUBMtoARoORc+qGs8vJr+6qS6tWXBvmijgzwDVZwKl/ZvuXLmXFD7NfWc52CA2xBlwn7MtlN3d2r6RIhabZwbuNadM3cKclonlqdTY+eX0yvOLeEfWQrXd/oE85kK20DEO+YHAv944fHOCmCjd7CCdNNyl263ktPXd1N1zaImalDHwBqhIqJ/Lk2Qev8DF57GbuOfrTL1AGTX2s06bDoE8OLB99rstgMFhGRcrsxB5yXsvA6PzMPeQl10plFFXkL5rL0gsqLmQbgskqHEhgMdATG6grZHt6/X84q5vJ+melqnJUEKglUEqgkUEngJZbACCRyebSQHqoXm1Hook69nbYJBdEZt48Aiw62ZauLHWJM9gBYspcwQmy4TwAuV7BrM9ZlF3PAuYIwiU10bM7LQZYb43jCzcNjCUZ2AJHaXnb9YsP4xBNPpJ/4iZ+grUHe7FPqKewkz507V1aaj1QVKq2AywsXHkqve93r0nthN7/wC1+XfuM3fiN98Rd/cdhEXr+Gs51wggMQAYy0AI6CxcyqUQn9bWFft1Q4AZI90wOpjKhJ+KIToT3YKAFqgGA9wO5t029Cqbzja9NP/Mt/mb7zO//j9Ae//7vBcn7xF70uDXobtEPIjgPoRFPYEL6QpGrlA51z6an+xXAOI4MpeNEaMhLd3xco+g3Z6qaH3XS5o44hw8k5CHabqtHWC0BSAkZVQLW5NGWAaZ2CGNhLxinj2+IroHJqxxr5cQSCMgEZeAYQV5TUoRMfM9bI7wuKaMf2OYs5B7z6hsI9f9lnn1p33CmOXlmGSmDHJ6l7bCcNN8c4T+qnJ7G/1J5ycbaZ5mHT5/C8WjLguVz+NYROC7VZHVTJxF+BWXzi4no6d2IWx0ozgLpoLDJ7psOeHcCnzOM23okFsDoPMhTOPCzjAna4llEN1pcN2plqmykgd6yq6K7Dlq5tDdPp4zjqQYaHLaS01FhINwm9IvOL96U03MXuUnVpnS5Nd7w4z9qyyIp1OwkBKUMYz3nA5YZ1O28ZLDdkXRdW7lDL/XlrCLicnWOFTU/AfSSKClzeR5NdDbWSQCWBSgKVBCoJvJQSUP1vCDBwz+W5zMhCfZ5NGEAgmKDyGIgg4vEdJ3yGNpc+3wJQGvpBlmaXEBRrOFMxrEJmonKZPL677+q0W5QpbPB9Foc82l0uEtZDdutdOMuZx7HPO9/5zgCH1vWP/vE/DrVVz6fZKs+1pxwCgv70W96Cw51/k5555tl048aN9J3f8R3Zsysg1XyqeapCehoHPevvWY8Yl/ajw1c7ze7sbPrpn/mZ9JGPfCT9jb/5tyKsh+1pr7dNKJFdPL6WKrl6BO0BavuoX775zV+afvzH/xlquH+Q3vOe96QvIYxJG+c6mxuqQLrFy4xnrTlHIPcXrrbYxYvso50L6U96HwJgyJqxYS6QiDIX3LRoz3iWYYNJf4fYQcYET8mrOQEEAfjGOACq6/kXmeghVrXZGiimUQBMCwZYEpjhqTbX5T29zOrsB7BHu+FVlvrtgxiN6iLVKCegVE03ADyALRjOIlamINA6DYhi4jLWQlxxkQGnazNcAAXoijlv4jBpVUAH3hzMoq5N6JKbrTTCvnIe5z0rC620hEqsrOXB4Iv67aPAz3X67PUdVGWxGl0ZpfMn5llzh7COqCfpqcu7hKtpEX5HFdturPO8tu0tKcY5vc69519Sov4WLyrqEcJHtdyTK8y3A7xDGg5RiUXFtaE6rNXdOdtBSXtZymxfF6jKaszfUEPvy6y0vUKl96DE/Xsy4kWYr198j3Fk7u4jkRyu6vto0NVQKwlUEqgkUEmgkkAlgZdWAnk/m8Fk3jP7W35z37yaA0ieXJ0JwOVG//qmaomTtMpmXiLr6vpegLC8Q7bWO++UVd00zMgq4UNWjx0LgPcrv/Ir6Uu/9EsD4GnzeP369fSmN70Jm8eV8Mi5uLgQIFGWyLbtjxvGbG9JiBRAofeto4d95WPveyyu9S47iLAhh2qQu3jzfOSRR7Gt7KXfxDbSkCUr9GOZtq5cuZp+GmdCM4RIESroadVkW2DeYKsiridtNaECTxIz8+TKfDqPh9o34xn2V3/1V9Pv//7vp6/+6q+mXeIf4lhnHyc0pn3RoODqRSad4Ly2+ypUZImjWF/gZcDcYU0leAmx30nu5XzUAOIgM4Y1UVU2Uuy+A2Dq9bXMKXAxZqbjbWOvKMLT9hPaFMdBOLphfCbnwl9EEueGSrGSZgA8i+V6gtkEgXo94oWE7GrASPte9F85HwWWzAL1RexOFlkAZ6oPNrS7A9DcTEtn9tL5UzOhqnptvU9Yks30xKVNHE/t4LU3s9PlmrGnMpkPnlpIF84spC1eGHzk0gZH8/nygdAxrOtjsPKvvbCSHjy5EE6tjoATx1eM2vpuTV1AfsSEZSSXALE3cO5z6Ewo536YOJ6PtB9OxyYnAMLtNNrF8+7ldtrbyTEvzSUYz6zl0Rb2h6i032imnWuA2BkdN2XG1Fx1QuE0DL1SJdTp1VDw79YVfX+mirm8P+e9GnUlgUoClQQqCVQSeEkksLffTHqNRRmWvf1sbKwbAQyObsZiL00P3VKrWuhG2Q34GGB5A1s0mRkZHtVmu6hbGpKhwAq3jUtg+Uu/9EvBULrhf+bSpfTeX/s1mLhm+kt/6S9GWBAZRFnMn/u5n4tQH6qdPv74h9Pv/u7vps///M8P0Ki66tmz59KvAOb03vqa17wmQOJxQOIDDzyQ/tE/+sfpu77ru6L9fhEiQ+Bg3ze3dtIrH7kQMTXf9a53BUv55je/OQDtT/7kT+KEZzX9+b/wrcTK7MFeZbtUxzMHI9UghuQD58/iRKULCP1/0hd90Relt7zlK8Jb6ld+5VvT//g//HfpFa94RTj+2drYgE0CN6EGu4/tZZ1jrX4Y3/I24TzXjWJKZHUfSufSJurLV6aQh49lE/VyGraOjtWJc9JIAccZhDI3qSLchJGEtAygliE0DLDOeahMwCJaDNtJDDXDq3BR3wiGWPSY64zqAhBm5z+5SdVnVfts4qlWmQvOVK8Nh0EIJYCmpYpxcVr0jXZJck72laIBDkqQb4FQ79XGlE4Pxv2ooz2DF9/F07zsUG17FPFZN7aHeIkdwFa2Ihal6qm2U6ZjMPE6+bkCCP34s1sAyjbzjR0tYXYunF4I1ddSXmWZ53NUZfb06hwy5gXMRi9dhFX1ns5+ppNy2e4NQyugtUDs1C1A481m2kM9dmYJVVyAo/JBG5kf5M13NKil3Y0MGWZWR6jTGvMV29pN5YYlNax8fTRI4/DGO93a/Xc+6GcvsVPRYu47IVTg8r6b8mrAlQQqCVQSqCRQSeClk8AWDn12ARgtwtPXUYktA8e7oS431eKJI4lrAaaMpaqx2iWuY395DJtM4wqu48TEwPDGx7w16dzkwoUL6V+hdkoD8Vh1Th3xfOM3fmMSGO4YbxLg9j3f/VdRjf1n6YfwECsweQNxMPUGu4WnVgGqTn6++7u/O73rXf9b+oc/9mPpv/mRHyFEyRz9GqWv+qqvCmCqV9nwEovKrGmI7Zy2g2sbW+nZK9fS93zPO9OjjzySfhYQ+4u/+ItpYWEhffmXf3n61m/7jjQ3N8/4emGHKZDUFlSPpxPCUjwAmP0bf/2vp3+N+u1TH/84Zb4s7O5e/4WvBwyvpre97W0B8CLuI0hNNdga9qwvmrWcAkSqqqIAm+AteTGQmUPHFvaWhV5qhHgRaJSOXoSBABQlbjgNQWFZpaBNVVqLZnVLQrvwsQ7lLrgUzWljaTkBpCyicU/LFHXxM71uDKtxsHR4RlVRX6BFQeVBD3xwkJMqbYOvrXnkS3CQqCv3J4NL2Vf7ZKgWi+/hJMeYnapqz6Duu8QLjhHgbQN17cs3iWMKQ3nmGC9BYNnLZH3aaT50ahEnPT1ejhAvkq+sqM9kM3Obh/0Xc6vS69dn/LtjEsg+BEAVQMpcPnVlOxjgRWxDy6QN7y7xMuvzPdY8Nq9tVLb3Jqm3CcC9wouMjnJBBqq/YpvJcOPPRlvLuWXy49THcDGNIJUFlyTWtwAzHQ4z37/PflURdv47zmXFXN5ns18Nt5JAJYFKApUEKglUEnhJJDCAudwX9BTeTAVtsZkuN/N36hX7XG3t9CA7QOVTlkhvmrNs6gWYAzb9a1t76eQyjlIAISYBgs5zVBX9qre/vbiX0U7JtPWxFVsn9mRvB8c+xLmUufw7P/qjeHnVGQ5hHwB3ghv/qTZ77cYGKrUn09/5O/89T/UI2Qo1Vz2S/tEf/RFs4ltQVT0fdpd9VDhVp+xhZ6gzni3auHLlRjp3bDGAqKA12gFk6cRlH+Znb2cTIAvQgAH64R/5byOm4YA+6o1W0PNn/+yfSd/yLd8SQETAJOh75plPYCc6l77iK94SoHaInedBou5bU4A1YJTg6a4JefPvIAk3AmAydydbx+N+hiD+KgnACHSkdpRxTV/juZVwkq/iUYzDe9qqaq+ZgVJuMBRW4waghjqyfmYubc2Cv9yE9zLQEkiVQNHnkajDVeBVPlK/FweDorz1k2TCI0UW7oUDoUPZWMQQKyaBZBcWOMBv0dYnhp9ID7QeAHzrXAcHPHxPsA61gXz2xk76GOFITqPWfWxpJpzsREX8qDZ5amU2WMunYDBHAO4niY15kGhYURwCyqzaW4iHFwv74fBKW88ZnF8F+KRtHf48gPrtMNbcAFXdDbzWLodTIcvqidYxzczgQCg8NyNHyE1CjKb9bZ7vwjtB9W5jVwpkTGPY+jGaBjvbxCCF5RwDOv0uEXG03bwYoVoQJgWn1t3BIO6vE73EhtMl1GLv51Qxl/fz7FdjryRQSaCSQCWBSgIvmQTc3MsWCRrc92NTRyy+tmqT0kJ3SG7ITy53gxUSUN5ATVbGSGboOvEvN1EtLNUAtYvchJEUwMWGnPoEH943fqWeTw0lIgAV4OpwZwQwa6EeqwdXvZdub24EqLIre4DFzfWdYDHDCQ/M4vLSYqhgbm3vhPrsX0Ct9SZ5Ll1ZTzfW3Xw38GqbPeMKZrYBmB976nKaxQlMF1e3gtwxm/0OHkH1czOgjT1CovQu46xojfiIqDQ263iL1X4TMCYjav9mYTj1busm7j3veU/YbZ44eTrtbq4DUg7ZPfs9nYRk65MNvPNup5X6svAMxzntkPl0vunzg5ngxJcAZdqDwVwfb6bZ/ax26TMZYccpqBZ72Z7JduKXg3fyVQZtAkyBq/PhM5lB7R2zGix5kWGUp1C8NgBADbFpzH3JNYttolIOuR0y8y/bWNqafRrHOrMtwZBAseyNvGr8s23HyIKcALD2AXDWE55mOZltzKZZkJjj2kSGZboyupLOtc5yaVs5BTsJi7jGywJDkegB9hQgU8+xApAy6ejHr8y7LKdjCRnaRzIdXufeRt95IHu/hXqrDGULGenkSnbfemQwzx6bTR/DEZR/J09f3YYpnY+2t/kbcYjd8dn0C73FshuHx9ni9Kg27eHz4qwJ+9m91k01QrNIbxqOxHnz7+Z+TZK3vttq8vd8P6cKXN7Ps1+NvZJAJYFKApUEKgm8DCTgPt/Nuh5CO+0lelSoN7qzviUZ+9IQJVdQO1TF7yaeMXWEssjGWu+xgk2dm5j2ej2+u3EeNVFfOOPRS060wd1ow7iVqAvibKdGmQATxf5wGlDNdbkZRQYwVG1CUbTSL6DaavgR1Vu/4iu+nA32KM116mkL+z+DqLenWIw2m35DWOzjwObaDRhTWE3jdnbwJjpABdFk+InLN2GwaGebsBeCaRkxwe823xZguAPN9KHHH0/vfve702OPPZa+9z//3lCntf/aPt4t3ZjcSD3iVZrWJsQ5JBlyhOia6VgjM5Lio2Lo8dzzkB1HGbtmESbF+1vEf7wyvgkwLAAtsjTG5QONU2mXdvTaKtYQAqoKezCd3uMr2yaA07NrqM4CUkr1VIFkjvlJWRaI+cOxDvnDNrPopX3jEX3MZ55HXlRkA4xybVIu4UGWMCKRFwAswKwLXulYMJkeKTSiHzr+YSrETaGSa8ick83jsUYtP5PmUq/eQ56sQ+Z8i/Vbej7OLWYnPiWLqW3wk7CYq0vdsBfu0K69to+2oybwAsDzudL0WjRfHxb/ycub2N6OYfNrvFwZhoxnYTJnfekC038dlVsB5ScAmK8k7qYeZZXU+26gw7rwXK0997MRf0Nj1YPJpuwavKipsw7uW7tL1pPhZJxH/4bLv5nnluK9+dQ1XaVKApUEKglUEqgkUEmgksBnTQJPjlaKbXVucoinyeG+G+MpYHSARI52y02baoAtbPvc1Bo0fpf4gF020+IqAaeb9sNvUV7gwKkqp/kpv9GGO3s390AgWK3s9KUoc8shqx7KThg+QxADgKHMww8/nH7g+78/LaKeOkK9tSFoIY/fAC1FPR3Aln13E2p4EVV6ZV2nQYN2o03qtNwe6r/mnU7llZt6w6Z83/d9X3rrV34l4VK2UfHdyVkdjxn8Funq5PoBsCzv+ZwW0m7qp4vjZ9JNwOdUkYNscXJQX86x2lhOb5l9U3hyHWGHt9eAdSVkx4DvCDu+Nk6JdLAT4C06k7vjaSk35W0S2Dv3AkvH7bcJCAR9ZnVPduyyzTrqCWBpuVzRQX8zhxnV5R/aOcqiyZIDAKSXAALacdqOLzZUrfWcn7h23kpgqfrpGNb4fPtcAEsrt63l9mI63TyZHm49RF3jdH2EfCfYT1JHOUeRl37OARq1hTx/ci7sg5/As+wGMTNzXQyT9sppzt04lEPU501S9DHO8o8qrruwl6dhPF9xfgn11yWAawcV8X54jPXoCw3LbdLe7z25zvrLzrH2Wp+ad9cRc7IPU50XGocxarHlS4apPt4vp2pO+99XC9ZS51T3c6qYy/t59quxVxKoJFBJoJJAJYGXQAI69ZEhGo+vp42C9JKl6u/3cZLSD7u2u3aLjbLgRNU/Hby4ce6hoidwE2+EDd4thd2ax/acn9j6U4Z/kQKjCBdiQ+hP8cCn+Wbkyz/lM0HKKO1hh/m173gHRYzvOEgb67CR3MsgKTNSAxz6lEl1W72CyrAeh8FagVm6NcksLcBu3tzEIyfMlJ49V1uH+SbUp6rvhQsX0ju/+7sB0yPaXUuj/i7ApY+zGIA3dZhiNPwYTxJu8GhTPjxIGRDJNu6OLqXjjdU0U7s9LqZFymJ6kO12ZtLXzb89xv/R/pPp6vB6Ols/nfZw1iSDUwJ1245y/Ajiw2YRUSreYC0LoOdcylIK2AOAyuuRT2+vPhMIej+AZB5ijMBYmcbRFDySJee18iLZhuVpmpcLeJIt2msRjsO5iy8lBbt6BLbkmHiFtBYqw+daZ3Ie2+bbplwPm+H10UYwlzYDPk3PDp9ND3cezkyoN6eSdZaeYi9ji/k0znZUZTVEiQ527K59NMVvcR438sNoO+TAtY8FjG3WvTEx7ZcvJrrtOVSsGzCVO2llkTAj2POqNmsonDFr9A+e3qb+evqSmfX0ixO8NSuUF5EmMtjYHMcLAuRbA7QHc/ki6roXivgSwpdb3ZkXJ897QQblGCpwWUqiOlYSqCRQSaCSQCWBSgKfJQkEPHDvfnti0+wG+mBvTZ7pbAE6uKGHzu0eJ+Z1u8zm2q/A7m6pfHJrlgAeBYtWtlbmta5y01/Wax/6/T0c9Fzm1nTvcg7zC3IdpR5uTbKRIoi1CFPRPuJBNJc6/JXpWoORVQ10G4ZTdrPsnvahN2/ejO9hCc4ATCrj6ehI1UuTYxBW3pjcDGY4bvpze5cPHnnSh0WeBpd3yh4y9IdvKatXdz8v3ezfALoA9AR0tB3MIAybMrNh50jQOcQBTIQa4TrUXa2FLC3An46SzB+MZrCaxRwDxGQ4G6FqTOboGM8omqV8dGgl/ow1oz2oPSqAZWl76Xh9nllrKrQugELc49lqc4VmWFeMpwFIa/ESZEjolEuDZ7OAyVM6pVKz+fr+9bTcWmYcmSGPztmIiXZUWT1/cj6A4Q4vDnq8QDCtLqCuG0KNyzv++Nx+eXRd7fYy+6h3WkPxqDKuSG5gfzzPC4ozx+ajHvM+e207vNM2R/1glNe3a+mVczvpwzU8Nocc79jkXW+O6Ee/hco28ghVcxnh+zTWpWucdzzYWvp3frAs7iq7e/1BBS7v9RmuxldJoJJAJYFKApUEPgckMGZjWse76RZOYtr1Y3kTTb9j3+vmf2oMnqvup3qqrv9j082mTvVC2YNcih1fkabLCvrcbKs+a3zCrHa6z+a8HSEiyjJxpIqANXHMT6yr3OTTLa/yg6keihG8a9mSuVSd01AFy4utCJ+SyxZFpw6W0ynLDF9VZ/swTzscddZStjSVPZ/SjzZqwjqLMUTLPGMp2UtZSxnhu6dp6eRc87W527KXbZdHM3iuLMr0of6H0/HJSgBIlFiDhT6cOc6cR4Bltr/U/nUC0IFxVnb8M9yIjOiE+6aou6yeo3dRng2QxkP/FaDSTI5jaiycHoCmQtjTwNJ2yuz2S7A5YT04KgGwjoWWGgupiwOfJmDXkDYCy5h7Cp5tnI7xXxldY451kkOD/FM9Vpmf6p6krpzK9RJ95lYbBHJs0TiteGCN9TsJBvPi4Jm0QJuLhOihwty98nhLXdrznjk+C8O9Fw6urq338VLbiXnfRk38LM/skmPxRcyDhQdZHQyNlC9/K0vb19KrV1L6YMogtGjieR5wrNTE7pj5A1aiFjtO9QHrrHQI9DxruRey+RpFT7FdbLKPqmLfC6N74WMoX+q88JJViUoClQQqCVQSqCRQSaCSwIuUwAcm53JJNsCmwCjs7d2om2LD78b6YHNtxsOv4Ck7dsllYyPNhtmwH3dLhnu4eL1HiAjCisDuqCqYsJMbAWwNG3ENr54CzwxqMtCwXwEwJwOyXkvj/nWqZ3MOgAgbUUCIOfI3t2wfZL82UIEt++MmX1VeVWE9v2uiKp/OoTJpNvtiHM9SPncrZxkdDJlPR0EmgdiV8ZU4v/NPBjCW9Xu35OgiHZyU10dvrE22YmzOmTKL2qPjzmfxpaggLxhmi/P1mTIxFAkPiso9FL0KlEhtPNJJkJt5cyn5nCxLHcXXcsGG0rYf5SDgK+c1A0HrFlRik0ibYxhE++tnhO3gfJ3wIfVVQF9mUYthRGftZ7PeSjuo/1q3/TcVB1S9N9KTg48DrvfCJnVI2yWwNV8Gmw4ddWG8Ad+A7XwCtWJfAlxDtXgbldsR7GjZX4/xtTApynMUNJ4/MZ8ePbcII1oPpz2GPmmxznZgNZ++vJV6OPsxv/avr3pgOQCtdWivqZOjt6yM0+e1hYcvPA3qqPXC5kZiTvUYGxP6wqv63C7BQtRJc3PKedfn9oA+td5XzOWnJr+qdCWBSgKVBCoJVBKoJPAiJLA2hllhM+aGXKBQbtAFGTvD3bTQnueeKoB3rjziycHeyMnJCFqJ9w7VYsuac3nrMbB9uzGBBSQYPJv6ZkM1Q/EMTm36sKaE+jCGpiyh3jatL8MY6pjqyKR/87BTlK/hSbQRXm5zZzMQyICgzKgzmlBbtFvPIxmewjLalfZgLndgowxvcVuy/eKm4FWAqZ1mq7OfbiSB8K0py/zWu+V1m9AkzoHj1rMsgUqeOyZmWZAybQDXbH027BEFgE6Kv4ctCv4nYa+qjLS9VN3UOQgV2VwkSlmyBKlxm5+wuaQ+Y5mqMuu44x4nAk3Pc4KRxglPqCYX9KWMaY0gmTXYcdVbo25Apd5qaxgAB+CksGBxsTEfwDLsCanbvpZCtk3gWro+vgFjRxvxcsG7h8nsjv8ZbDB3AZgEW4EFXcZ+U++qOoPK6qvXqMOkt9rcAF5XEcb10VVy1dMqtq/Zfnc/wG7kiaYEt7nP9k1bywcINaI69E3C82zCXt9gzRgKZ2dvI2wvwy6TVgx3ImvvixVZ+4/jbfbUXDM9SQzToRPxAtIQ1d/alD1wQ+byPkw681FtnfceVUIClRiqZVBJoJJAJYFKApUEKgl81iWg+pheVdvsygZs8gOAsFEWBBiHcWY8EyqSd2X5ApEcbobdnptXdvIwHT7vARqHOMM5tjiC8TG3AIBWOdUz6HyXuH0Ayp0BsSlhCrcJ66CaKfgy9vR1mS+M6ryOpr3NhlJnM1QTAKQEKAEuuW8MTZP5OwCiADS56bhvOf7dMQkeBKOCS5OAUU+zR+Rxh/LLqMReWeulG/3NtA/AzC0cNnq39qIRfuZrs8CaeoCnElw2Gegqqsq3JQaWx5yPr2hfSKt8dmHetkdbaRvbzTLlfHB1MHKCQ/GUIEtwaRgS24RKE49mQAUQPBI3MyRlO/WI9blPTNAAkzEggCoVZknBVAoaHbJHDuLLDChhKemzMpRZtjmLH84bLx7qc2m5hmovfQvHQwcD8KR82VAjdMsq4Vw20u6w8NDL02iTFs1l3wSGepKFgwQwFkCSfA3AbIswHuVcWqJOgQkdDRCsLCizNl5Le8N+Wt5fTH3Ucqf7qjOdpuDOxUU7HhdnVe1upWewr9yEuXwIVVhB5PVNwOaGqrtUS/LvwOQ6vYkN8KnGenrrYi398u4L02kdIaNhN/+dandaj1iX1Fu0E43cBz87O6g1G9sy/rO4Dwb8SYZYgctPIqDqcSWBSgKVBCoJVBKoJPCZkYBb6HlYvzF2bZuTzdggu6EPSOBO3a+UgMdbk7eK+wHy2DnLNPbx8ummvty4l8UMV6IqbadlQXe/5PEhp1bjHe3YVFt1g65H1+vYpwUxZT7yYy0XZ/64UdfG03bsYr22C9gUQAIqADV+S/XUBh10818oEB7UYZVuxG371mTd8/RDpy0CMOsaoLopS1WmO5UzRIvj3NmqxbEGU/tC05UxdoT7WT25z7GPgPZR3TyIhVlU6JgC3HD9cOvBLHNlSdGZZgfHNzCuxMI0lmaGecot99pDhB9hbILMBoyi97R1RHohvxrPVFkt0wQAo61tjfz7dVVN7Rdfymm7WRdMOplx30Mu655/3x8agKzOKrCc+wlHPdSn2ux8YxYQvQL4pS7mUmA4Rq3UfHqW7bY7uT/Ui1I2DA12mKjNhs0leTLaZf55wTGmfzVBNJ2PMUe/yEPqj4dh39np4hCHa7smsBRg3inNoKKbS+an1qe3YgFdl5in08m/gR09xNK2LyPmZ2bTAi8cfFkSoDsWnXAW77Y3Yep5efEsjP4Zrr9pZT/9/Nbt9rbT9U+f+3Jmr9mNtkpwWeflwRiZ3C/Jae3vTdLsagWpyjmvJFFKojpWEqgkUEmgkkAlgUoCn1UJPDU5ns7Xdthgs8VmwywYCDVJNvbrsELLteXYmId6oj1zJ1ckbRmn7RkpHmBPLBLZpnbjWQ1wBLMjE5lBEw0WNWVw4r7eO9ajc5yTyzOwoNqrZQbqBuqGTTbsXePYcVOGKbboPB9zbb7oPyeqfpq4lVM0dQjEytsey14c3PNGUdB+CHgHVOdYMytbgMvbCuYaBLvHUI8c3dxP/U1A0WIfkHPQk4Nm7nZyc7J+5FHuTi3tYg/YYE6yumuW03QXBNAmgV5HEMb5+dr5dHl4JdRks82jcsml/HVeBYQl+NYGUEA3iXiJ5ChwsXVlbIhaLWBIZrCFMxk9ztreJCpDvnaBMuZ3Hr0PrI/zeNnAg7Ct5KGfEeVNfTydznfm03HYWV9umFdQqy2u82wFAmHjsVruYP6d9INrO3Fr4p55fGTW3LM4GHKnNTGWJ8CaJ7nr5ld1t6ir6Ge+zuOIwZDfe377qKIqb8/t1wYqsTu9AfJBzRu2exkvsjqH6gLKfV5+BeZt7j9NyBJVwZ/BDnl10khE80yX2ocvUez1c6U91GJXAPZ7g2GEI2nu9dJ47v4Bl3t7MbESyVUqJFCBy2opVBKoJFBJoJJAJYFKAi+JBDb2u+kBwOUgvJnmjbqsj6qmdTbHJhmR2HwDRMITo5t1UrCDxTn76kjZW6zwJ6sJ5rs6CdJKDkeW2izm4uUjjjBGXoEuBSoHiWudoJTJug0jMdMWAORKZLfqoZpY5srVb+4M0/VBj5s5n/aBerUN8DPVxtTpQQVxzya4o1dRVWMHACrBThxhMx3vncqWlVju5HIX9Vjib24CxBbZ+L8IBjPqm2pre38b1dOsUlm2VR4DtHhRyMbTNjvuB1rnU2+EAyVimm4PdgLcZMAn4ytwc6SZQRxj+5rnDrk631bi/NAH5S+A0sNsDQBm5AvtHRvtqC3XRdv7zqN9oEzZFWUlKNQO0zPrNV6o+Vwt8425dLp+gvqpK/okM6gTJdcRmUmWyfVavrjJvWA3Iw6FlpXF/eLg6tEDcnQmanDdZlZWELvLGplpq1bKuqRMVrHO44zs3Iu59mgtRWc8lufcZn0Pg1V1jV1dNwwJYUmwZ750bSdA5QHbbTkLkOzrHKTn2WPd9AxOrvowtNvbu+mVxztpE/vLLQPRPo+0B8ivGy8U50amOvFW09xinN/zP8hb1rLNGnR9VilL4PmtnEpalQQqCVQSqCRQSaCSQCWBT7MEJmywR41x2i02pgILkxtwN8xbeN2U8RJg+j1AC+SRHRRgRuJQspgCirCnKx7J0OyiJigLqErli03WG5v6qQrs51iUM5XMY17VOwf2+SAJegqQwL1PthX1uRvW+cKJj8DmwJPtQZ35RDXWW7/7rVE6uTKTmhNYzC28yAa9d0vBT9OlfSvEnWVUgB9lIQs415pLZztn0gPtc1wDa7wvMOdcQYRdIiq0zpUOd7R3NFlWGegVWODnvB40xHPDidR4I6A1YpNyTb2XopLZ5NsG8HRmAD6C0lulTTsTWEjbtecLOPCx3Zhf2oy1Rv2qnsqixvica14SOOdRHf12jvv9fvTbvAPAaymHcoZD3dfBUOhQSnEj6h0Sd9J68lJ2rPI+VO4CoC/2yYsjx7iXn0ceTk3GzTTm5YmlTjq5Ohv1X8YLcvm3YU2mLP8s1yWYzdMATOVkiJJ2bzt99exWzvg8fgfM1aRj2JNce70HuLxPku8q/BM3BEmVDiVQMZeHsqjOKglUEqgkUEmgkkAlgc+iBHzD3av10lZ9AJNCnEbiK+6zgRcMuInvjwewmmuxKddr6XIbeziZJZIbZjBCJJ3d7KLa587ecqr4CUxiy0f2EfELcwgQyuUid/gt8sdGXhBzFAzYVt4/F40WNUxfucE230gA4r8S/BZ5X8wWdAamsvSO6uY/xnxLRXeKYwlcSbOwnidgMK+iIjvagcFcKFWC7zD853GrlNB01nL8coD5uZ3je0sf04hQLPVuOt0+k66iKit3NsApj0yoZZtGoKeyck5LACSo1DFSns/DSgVq+YpWkXtWZ81rQzAoqyl2HddlK8nNfLTarTREfTNeVnCjjjrnsfoSsRqLuJJRD+DSjliKekpgaXiSYBhhGY15aUfLdsq8tjMcDFK7g5pq1MAPdQKXOche0wmSvSx7P6IfvkDRaZJCCxkG+5pFSPFYdyV48+Kg7ijBD8m+bGz1Yef5O5kn3A1g8cyx2fTxZ7ewuWylVeJq2udyjVqJMpU5XiHe5hDm8pmb2BkTjudMcyf9J8dr6Z+vPR8GErVt7D79u1SNvNkTmCq/6V7aw3srSbj7/4qxUWcIA1OlQwlU4PJQFtVZJYFKApUEKglUEqgk8FmUwJBt9x42XjXsIGWRNvc3UTNVYQ8WCWDW3u9Ia8Xu2g1/d7yXZvFm6p44NnYFeJsFgBmmow/4krnxXKc27KXzPpdq5okb+cmTW34VJQUDFA6A6Z5cKON22Q2zZ2UqNvq3bPijXfJN55w+L0t7jPu3PHR8ZdLmcgEvoOtbxExkfNp3ytR9sqQjnhkcJWlvt7rYSTe2AD4AnNYc8Nqx3SF59241axm42liBZd6OkuaNWujPEK+wH5k8kRZqC+nBxvkjNQfDDOjQntK6jR8533048gyY/W1qvDG+GeDPm9E+e/XMcAIOYQRdEb58MClVP2GXCSDzI3s59uUCAFXZ+YJBwGodAj1BbIT7OOi0WVkjhE5ZbWU7SwsKtrKdLWPS0y9js30ZdttsNAGYANI8v7md6JQ/lA3HRPRVIBsd4eBcyV5G92nfFRMeay1jolyfGKod1Euz46N8O4/UVwQZEJb1hXwOs7hEqRHWEnZeD7GGGhFYmo4tdnEINeTlQh+1WcPQDtybAABAAElEQVTr3M7cm1P2fWlep0ZtYr0OCNmzG/aYp3nZc3n/9jJR+dRPH+dNXQC3sqtjA9rAlnU8FaJkKus9c+rfIe/BNJmNkEr3zMA+DQN5Pv/TfhqaqaqoJFBJoJJAJYFKApUEKgkclcAuDk2ujudQS8QJiOyUKnZsphNgxbiHe3wEJZp/ddj4lsnNvXaUbsBNcwDHJTxiaje2uQO4JITIHWNCxq4/itz5B9XMfbxd1hqgUWEAIMy2tGXzJGIxxlbedn2eqykOceETGUs3n3dKR2/fLQ815n9RxSJjEzRbr2PsoOI7nY7VV6cvj5zbR2NfSprd2MIpTR1HMjMvHGC28PiKJV8h8ehe0U4tPT7+aFrbv5lu1tYyuCwEM2JOdYpzJPkMITjyUGtFXbdkeHlCxRnkmW0cdpElw8azQlyykgGqyBQfj3xlDQVW2YssYFZQyBwGW1cA6mg5wCtwGRXUfo31QmzOOuBIu1ZfJFinfRMEynJap59gKhGkYU9GgHf70a67Vux2Vs0VoArsnWf70cQbsnFUD20vM86MQsWPZcKemKMyCDVh+FNBc75zKO/pFUMpZBK/se51OLUEazmdTqzMoha+TSgS7DtPqP7L0xD0VK6i3aXZBt5jm2l9exgvM/7UsX66sUNczAKsTpU4crrX4iWGdqMJEG9YGUKS3Ovg0v9KRnim1t6ySkclUIHLo/KorioJVBKoJFBJoJJAJYHPkgTkspZqnQgyH8qLbO5llLLqHkAIoyZZKxAnWpWHCq1u8g0A7wbe1Cw2v4IA2arp8BU5x/P/nYy3AR2oaFKPu3A344IfIYcgwL4dSbdc+iyDigwLDsDA7Sfp0vjZI1XNIIvVAIoFaKBuq++ygW1hLzqAnduGnVq8xRun4KhMh3XW0vqY8C7Fg+NzxxDjDKBBRhcQMIuK7AHgKkvno10ty3nH6z3KPDO+nICL3opknt8Z/fvU2+/lOSvRn/MDGyaTdVviWckEK+MS70d7hXwF8c5tqLYG5UctdoKkbOO+ecmXPQkDAmV1AaMj2Fl7rypxtqmUXXLMlHPN0JBBRLTJNA0BRI3GQtTTJ6ZkmQSXDfIEkykyJ5Vzv6+9JuvRmJ1tQLfCcrZ9voPzIruM8izMqG0INnlZEmPjqgCDxXAYF+rKtVahGsva5xOsKyXNYwxQX64c5Ofe0ZT/FjZ3RrxgodWQ3WFuX0ScXOmkp65sx0uYVVRgy1TmasP49mBoEROscj1t7dYAq4P08PJWutBppY8Mn9sV6hBgOVGehb1lfUqOZVv32tEl4XuTmYV7bWSf+ngqcPmpy7CqoZJAJYFKApUEKglUEniREhBU7BeAIKpg0ybb5KZcADB2B8elwC4SBwHJtJMSgYQpGCafl7vmuPvCfyaDm6mOfScUZoCZGwShVz1VVdtcOQ3kLtLLWxKN275wdLob5ZUgp0za2k2n7f3dYAfn6sYatBJqLxowZuEQcLnHV/u/q/vXApBMl881+ytEOZqu7F9N5+fPUafhKgAwaH02sMEMtb4jPY2Wj9w5XT+VrkyuAE7HaYt4pGXS1tOvbLNsnunXB7+VvqL9ZaiPait6uM2Mp+Qpj+b1vEOcxPYAEKcaKikwvce44lichDwpL2D0BYJxLQVspbqsCqTxkVkUtManqITzBurBk70hIF21VtnM/CyAG+dxmYcQD9qE9zCupraEEzI7PFn07OE2pW1shcO7LM/sh+3tjnvRB+dNdeAMomNBU2dZuUdbE0LmeJk1OjFgnbcBmfkpnmSJDxrOrFwjNl484SSnov9e6MjH9m5lLYucaQEmf2W+nS7hFXamQ1gSZJHrLHP4t1PYTBK2xliZA2wJd3cH6S3HNtOzmytpW0HdLSHvSQd13Bqhauhrc4/4mXfLe4/cVy3ftdrAK2+VjkrgOVbK0YzVVSWBSgKVBCoJVBKoJFBJ4DMlgbAuAzWGN05UJWUfZQwFKA1CWujwJdRS2We7kddzZyQ2wgI/UzCXXLvB/VSSKoqT0U7UozqqMfxWFtoBLu1HeDO9y56SLgeoKJ232I+yN25GDxJt3Cn19vcAcNvFdwt7xgxAw2ssY3PcW9uwVLXbna1Yo7DyzjUDQggl0pwbpdVlmLsJcTzXO2ncE2jcrUSGQQLLW9Me/fzA6IPBZMZ8OCd8z9ZPK4D4BrjiPJhfwI9zG/aQ3FMmgivtNSe8TGjBkNUF71NdySM5vGF+mcoDYFl4eLWy8OyKrIIhDNbSPtiNsKCN+7bRoI2s3pxltTshDAcxJwWOAucB9o+WcQzOc6w/2swea+kL9/ewEc4s+SGw3Bvj9VWWkedOrWC5NwJkjWEt+VilNpWjUOfO0uQW9pgZmBrIpE8d1uPXuJp17R3FpgfC50xxHIoknjhmM/X6qHXTkN9geJU35/ZV9ViX32WcXeV4qQeVxolg2mpb/C0RyYS0T5zMcdqjzle3ntsR1Jj2x7wIin5QUrXYGm3fy8l3ISwL5u9eHuWLG9v0f3MvroaqVCWBSgKVBCoJVBKoJFBJ4MVKwJ2ze+ZQF3RTzKa02LC5wQ4VV3fm3JORMskaqBZrMlh86UHWYm7WBXgvPuXCdcJn9IkvaVD6JdRQD+wcaUTAUYbLsGsHG3oazht7mdXDzXUxnAx86N/2/k7EfTzaR3PV0i4qpmuT9YPv9fEN6jRmZIM+YAfIxRqAdx/buDZqtJ805Woj29pkI23sb6Td9laqL+/A5tHfnW4aGKpkfPuWcBaHQO3aoa2rlZSilWXdYRzCRD8++bzGo+nhxgWzxZ3yWIKdQF0+Yww3+2vpYv8S4Wa2Ys7HoCjBpQxaAETk5AdcFCmAJeey1LZmHufaXgssY32gyppVaslNG6ymXNiaWDs+a8BciggoGl8zrBPy5uroelobbaQ9wKa9t7x2mJ1ul1ATs6mDY6DMjGMLjJ2my7RUvxZEjgCRrt2wI6UtgaZhRoxdaV0mQ6U4JpM9awtedfYTeQTecZJzyH4a2iQXjTIxSM6sIdeSb2tzvDDbTNfW+wfhamL8yoB16HkX9dgzSwPUqgdhvztdb4SFQe4tAKaecFWNtX7X/2A4SW+Y76eZQSnL3Ob0r8zuEAc+NWlwUn24l+rI455NiGLM/z/BWt7+Z3PPDvv5DqwSyfOVVJWvkkAlgUoClQQqCVQS+LRL4PoEEEfQ9rxh5pd/Q20C2eyy3YZJQsHODXZssvNOuw/7Ewwnt2VaBAplkk0oN/PlvTLDkX36wcOjJ4UZIkXwfonDjnCSgkOdcrNeNiXAFLCY3KgHLihAiX27Ezt0E6+oT48uBnCU+TtMGXLkussW8tMBaqemUR0bxu5ODMWQJGt49VzdXz1QC825b/k9WtXBwxFs4Zj6Hlo5nk4u4X13r5NGN+bSaJCBW5lxlz6GcxpuKLssv9ul2CFMzCk+K9iL3pkEBag5SQhKJu3Z4bV0Y3IzGENBmN0UClpznZcFB+AyJlZmD2AGsNZ2Mi6KSQp2jhuqygazSE0HH8qW9Qiw9D7cYL6so9PG+ZOcK452rFDmsgeozH3IzphiDdFXX2j4AqNFmdnZ+bTT2I16VZkVUJpvhO2l4LdcEzN4xDXxiLse/WVdHwCu3FK5fnwWWfjxGF5XjUvqdditclNZ5H9mj3yuOb/Kbwm11wFg8AqeXnUmFSyxx8gLQ9y7nubbe2mxg/fYNUCoL2eiTksDugWXAEtfmswQwibUsFln27CX9umbTvRYa5zcMfFCB4+xE8pHYk7rAv57NKkyrNRcjq6xKh2VwKEy/NH71VUlgUoClQQqCVQSqCRQSeAzLoERqn/7fOWg3HKbDDfyYOsB7uc7sf2FdSrtLodsesuko5vp5IZdlVQ3xAf7vqIe69uGdbo1zeKJNnM1+UlN2zfKD9nYZ/xovzLICcBiT7mleuYI+zJoDJ6bh18dy7Dj93mZ4vTwp7z9vI9Pjz4ReeuMddygrREhXPAau7azl44trKZrk+u313WHPa/AqwsT2YWR3JhsEUOUcCWoii4a6mQb1cf1mbSPo5/GjB5zDwdQViW7iBLpQVsxL1yt8DF9fPhUgN1zjTMhjXnm0ZNyA67K75XhVV4eUH9ZKUCxKZAvHAUZ+kNEVAIve9Fg3IYeCZlSLuaKo6tDO1TZQoGm4/NetFfUX66ZMcBLZ1GCqAljm5mBsSVEyR6xVFGWpc68jtZhUtdwhKR6b7OeX2KoJj1HjE6dBZXTqNqr7HRvlEFpqNAKzMi3h9dh4Cj9Ra10ACgDhWhWnD3G5pUiK58rY4DFYrHuCbaXjsH1JpPpd4Bqqn1usd5Af3HvqSvTLyesIg94axeVaZw+dYm9GGuVunWc1egeS+PdXjo+P0q7a8zDjXo6i/fYln0rZYUcm6igD3HGtDhTQ82W7yCD7VXCsLx5pp8e2+3e8QXCiL7NoDI+6ctaCi5VpdV2+N5LQ2QS67Kyt7zj5Fbg8o5iqW5WEqgkUEmgkkAlgUoCnw0JDASXbH4FAe5xVS08VT/JBjqrGJZ9yBtg2SiZnUNw2c70QZR1wydzSdHYoEeNFnDzzr8xp0831soqKUMMydp8mgUchVoudpamemueIgAX2J2mFZrcpFNxCVbKapuGy0B90b6bwv9QACF7c5jiqsx0eJuzPO7yllkyL3K0vM/rzUlaxPZzayOrUG5s76UdGMhmJsrKKqzyaCqqWqkvh5rr9ckN7CMn6droZmrtzifx8epiO4DX+i7gHODUmMOusH0o51zhrdfIj890km3+xOiS4k4rtaV0unEST7N9HNTspU3UT4U6pRqz5cyP39UApRbKatD5ieOow0xn1U7vZWllD7HKCWaRDb5lYsj8lEC2yByyKCWsN1mZUcEoE0kMTNg+7Gl9WVFn3cn4ZVJ0nxA518PjqyykdQ4aACWOE1CinnD1FLtH3FX7r/qsMTM7eIcdwArLZNqf2oR2qHcI2KzZpqCL8UQ79Dl0ZslXTA/rmvAmLl5K69lWG8xN7G8vtBTMfro+WgvG9/Paj6bVhcz2O05fgOj8SrVdnfH4zR+LMSY7A/istZdTc7CeTsxN0jM4qZpgg3tsaSbiqNKtaENZm2Y7NRjeRtrFCZIOg5YJcXKuNU7LvNxYc1y3pLHOm/QYa5K5JNalsUUjxEq+e0/8uj5Uy3fS9ItUpdslUInldplUdyoJVBKoJFBJoJJAJYHPkgRUihQa+DF5ZN9GMk7h7dsU9qvusw9Ss/Tgyg46NvQcw9mPTA6bbNNU9oNyRe5gSVtFKI/9BpvjyEwfaERmaga2S4ayTPF4qsJoIXbvOYcMmnEx7xjnMnenrIpjOeqpW3HX68PMZXMOadjdhhkCkG8RcxI7ydEGtm56+Gxnxz9HaioLcvN441jqYKP57OhygDnz9bfxUro3gf2cyeFNqF9AcXMLMLjeSN15mLoZkGehhmoIjxn82ZrsnbB7hk++Khor2+S4hn2naq/OQzjKoR6BYYyac2U1BnzpLdW7TqzxS0uPrDWBI/cKvjBAXgAo0BS3+WaQ7ZzZn/zjCYkbtlNK2G6ZZ2L9nAlwY3kw5TK4rpla00pxEAXraDJGp1/tEDcJUdMh/qky0INxD2Dp2LTh1G5SYDmCqTwAllZAg4JOx6mshpSrcR2Aj3aG9EU7WpNA0vsOzBcYtqsdKFA1XrjsjHfT+8cfCgdIgsxjjZX0qs6jMSbRY5t+RL2+DIlqsmyGgDyfW2enM09LvhBYS+fbS+n65jg9+cxmOKs6vjwbdpm+3GnBXrZgIee6g3R9Y5TWWA+Cy+OAyyVA71oIO7p98DPS3rKdw5zozKc+UJ2djtDuvZTC1pu5q2FMWwtEfi+N7tMzFtd6lSoJVBKoJFBJoJJAJYFKAi+JBASWeQPqJjRvROOXjamqkO5N77Y/lVHS5tLENja+xvlzMx8b9fKBR5I5uwCscKLC+UxtJp2on/BRkTKLatns4VQ7OjaStJMZMWqwoTIVnSufe8z2blPtl3mf79FOTn+nLgOC0cZDiyfS3FxWZwQLpNEmAGZkoSKVwuBSpzznmmfSOp5QL8IoyhJCv6XBJt49e910fDEDyxgK+dtt6lnC4Q/qsf0dwp+Yb4qpKsGaiqQrtWN0tdxKTrVPPV4ZWkNPsH08sMYrBBspSljOUBvaNGZgiTfbnR7ATfVXBlDIOQATpQRHmZkTjFlbBqZcRNbpafGe/Yw5izbNVOZgjgSYyEA1VT24dro465EB52vEjRGQzvqtuYda61ZvO+32CTOCsIeApu3hNiAY9WFYUHuvKqz9dDxTzQSA1R7VfjhP5hHsyeiZchu5r96KfBxV9RU4D1n/srI9wpL8zugPuQYo8tyQJ58YPpN+efu9qOBmEBdycqy56jh4L/4WAHuls6BGcy61Zs+nlcXZ9Oi5eVRjZxnfKH3k4nq6eG3rgAXW+dHCDIwsMlFluocatunrsL3sFv2PG8WPqrcTHAKVqR7OjDILWt67F46ylqq9tyqV2LtOZ/k/wl0zVA8qCVQSqCRQSaCSQCWBSgKfaQmMcXYisJjAIG3i1fTWVGKE6fuCDcOQuNd1I+1J3qDnTXU8KHfbFBRUvrLxSuzpzqZVnM9Mh/OI4uQtqsmbcspE/dONlufs44VK095NfaS2o7aasZkv804dA/Rk6BPlpx4956l9PwH7eLZxCm+z2EvObqZ6FxAinhhis7gL2+bFVDJe5jKqsDdQfw1gwjPZzsFWG/XImXSS8BQLs4R4KYqpKnsDp0Pwb6k1h2rsAvaEYtG1+XD609jPjJ5NWO9C7ahK7FTTcXoau8UINUIl1s2soIZKqI0h7nT4Kiy9qQow+3v9IEiV/xC7S4EXp5FCZsE0um315YF2rdTIMea9yGlZk2sgQCsys+xhOgSctgEapE1YTABmF6+wOu5xTe3z1amUDn9swxoEe7t7OMsp1EZLr7B6gLWnqsOa12R++wD/lzZRPTXp0bZco7HIym4pfP6V6tcTVHRLD6/ZLnM//V7//QH6YpiMsVxDnjnkctwH1zbIzcFAMFrKMQunEBF95YzvsYVOeuTsQjqx1IGxBkT2M7i3r7LYfnUUZEgek91+a5NQI2VFcTf/TFCLLVWeVYul01NP741T3kuE6nu7W07gvTGuT+coDvU8Pp21VnVVEqgkUEmgkkAlgUoClQSetwTyTjUDgVq6sX8zHcMO0s16PYK3H93IxcaYumUVBQPsYmMfK3ypYRM3weZtPNiCcSvABNXXW7OagoW9nbaHfspdufts6zAFuOBUkOh97dd8NB5tlVkin4gsQIy8G+dkiY23voaC9cy5Dn7d4s+M59NS4xCgHTy89aQcrpUWSYZMJnBtskY8RrzGQuA1CBHRGHcAEQAtwOWoMYk4lrKzC/UF1GDbYTvY1wmPw1CNFpaztd9NpwCW3U5WybQJQ54IAFURjUT+RheGD3u/4Q5y3W6nzqCWZvYPnbSoans93aTUrSAiD2ALmQlUQ3CAOGpBrkwC5zFXXAvkkFi8WLCP27B0eqk91z7l05BtBlO5W9kL6iG7KTbLks/P40q1WbqkQ51QuyWPTFzkZVIFTuH4SaTAMxlInQpB28JgEkIEO0xaiHzjmsAYBp11yGqLezKxzqesoszhbAPHRYUMyu7YZ1ZhDD36zEuTAJf0o1wrtu3X9dNUXRaby7hXPuBx9DVUXSnFuOx3Xm/WkvsoaI+6DxBf9ILnRXIhZ0FFf+x7mSzXQbV8aa6J+ms9vMPavOt/YQZnT4Th2dlTNRbvxEtd8jbShZVRegNg8/d6qGZPN8XaFnQHAEetl06VzdwTx6zN4Exji10xl3ed0wpc3lU01YNKApUEKglUEqgkUEngsyKBgw2q8AO1RZiSp2oX00O1B+7YfMkKBvAjhxvkrP5nea5hl/Q6GtCJTbWbcRREw/GKjJU2dDKOB85Gik1w7oaAFTBZ4CVBSSRs4qZTbPCj3uxNJ3JxHf2Y2rxPl4H4SidhinJ/pp/c5bxoOj/dx8PrRgDLMncNBz/7S5upeXMBGz0czWwSpxAbwhMzxyPLpdGzAYy82B8BTzeXUgPZnF4lbiOMVJmu47ymV4Q8Ke+VxxqAtb2ITSKM1i7AdDv7PIrHspwCm5yOAgnncSttxqMSEDluP6Y8U3Ea8+Xdj4+e4YHgS6dAl/EYfDpnKOTgNB2ylRmUHRERuW3DkCMBCWGQBZc60cGNT8yKU6aznHHMJ+yi3lEBky285prHf3VYKefRNWTYF9uwXtfM0HKuCYfL12fxggPwuQ+483aZn9PURWV2Z0A80JLFK8qZ076Ycn7b8NwfM+VUU13XgfOw/PjEMq77X995LM3jbOgrO18e11FD0Y/cyTK3R9PhjEW9+Sa3x2mB+JZXNvrpKooDtnViGZvjrjFdE4zmMPUAme1Qx66lL56H2UWOfzwgBEkxEI/ZIREy9iUK83AvJV9OGd+yg+p4MeR7aXiftrFU4PLTJsqqokoClQQqCVQSqCRQSeDFSMCNPFvzOxbVM2dTxDSV3GubSs+teSvMDTbV5T3VJsfa1bEzdos7HqxxBLgAOEbNBZi/FiBzehvkdp0q8iHAmpv34jKeTf8Iqeo832fzH3aCUD12KxxJFh3s4qxlD6BsUr1Wr6Q6R1ldzI5P4sHz/NHjquFDbk2nOsfSlcXN1Njs0g9A9fps2mz00nZ9A4hmL9nwE7+ytj0X4GMaWNpjbTF3C2B5t7HaZqMDe7cCmH02M5sCiyGDvR0+ZAg0g63nbh9QRR8CVJaCLQYQbfFj7pjOg/Msx95wL11rbaRV3M/gMidKHQA0rqKVqQ4rcptQHdYT63T8zmExHaIx7kdDcd9KDbvhGtnDZa5AU+CYVWoZcxu2mKVXG2J/CBM8qDH2wumTNUW/i1/XsO22qUN1VFlN21adeQ7b3q20nUu4LpFdeKwtO0Y5P7FW6Ys2fVpznm6eSNdg8U0+V2WcirmibofJ13a2Ub39hfVfiftvnH19Xu8A4y4fHQ1R9GiiXf9OSq+7fftLjsU5X7pgk4y4JXXXd4bYY2oXywsf2+kNQo06ypL/NfPX0+nxWnps51HsanEAhLr2XqE2/KqlRvoY9eTeH23+c/XKoSHWNA/ArtLdJTD9v+rdc1VPKglUEqgkUEmgkkAlgUoCnyEJxDZddUE2sG6iTTpH2UFFcq7w5HrYNHCl2JTLXLqBN7H/jd02WnucAyi1hcNmLoBfAEw27YDPsAnjuoZ3y7Ks9XkeLcdG300km+oAGvSo2Jy7rXdjL0iNMAtcTTowkdybAFrtynCLNhkHRWNTHkX42YMd68510tbuMM2hbtiFOSy6XmZ5zuM2ISmOptypa7CODdRb2/P7aWcrA9jtTca5iFdT4zT2aWcHkAGQPraIe5nCO6l1rcGE7qhie7Tiu17V8abawM7TtGOICmIlzrUARTPDogw18c/QG1dGN1ILwa2kJaHQXduIuS86oLphyBcgLkLq8VlDkMcni1F/5M3TfTAnRcNxHaCQuTU5Z4KnBnMe7DPXZT9iXmWvyeQclOtgREiZJvEljFlZdjjAIaFpjMPZGGa1WB/a5aIrB3mNERnMKbLWo2wZC7NOuJ1FwOk2HmcjHqV9YY3IdMqWtlGJtdwOLyJU9Q6NUmpf5CVIF2+8l8aXJXTtaKy9rLLLauTliY2LN/WCa39+Z/P3iv7sp9fOfF5ara2mFt6FIxQKz2Otx9HqcBqUAMyFDGx7eZ6xm+jPXLcRarLr2zoXmuDYZ4hn2XGa8V0Pz5cbS9hHb6XXzz6ZtsZoBuxtpifoI48IZdJOb2Rd/MpOi9isUePn9A9TFYy389YiTEuV7i6BCnrfXTbVk0oClQQqCVQSqCRQSeCzIIGdyWpsrgUBpf2e9n+9/V60PsLZz3S6EygLtUV2tYYm8dwU7BBHnakMcDASG3o21D4O9oWTCI3BUVVaVfriSJ4BLJGeZw/UYqlHQOkmUzAiEMpg05Yy6+Q9Qak2ZwKYHmClTD09gApR2JyuY68WYPZ57lGfHV8JO0TbKb/lmfXvYxc4C5uijZz1GpdwAqAc95ppskmwkCZhJLCXmwaWglKBpYDkhaSaAiDVmoBoXgD0Ls+m9uYKcsuDkSfWplVnOFu13Qh/slJfCQdAS8S9vC1ZXUxoLb1u/tXYeAKGATnOoaE7dtJuulzDIVFjhIfUK+nS6Er02XHGJ45KJZcR+HtfUckENgCKoZbrjeKZZUtgedCf3H2AnUxdPbzIakvZmjRTf0TYEWJ/CuKY6WAjfXmhM5/y20HGbVhNr1uw4h08p87MUJ4wNi1US5uo3R5vrYRqtmuu05RVxEstH+0tDVmy0MJOlriaHepp86xJOJCZVje9cuaRyGfbplh9jMExO1S/4QgoHEnlNaz8fIHSS3uhTh32n2alnPlzMW1GHRcD88ZBysLo8OLAeJoPnmJs/F3tsq6u3tyN6Qr5U9fp5kleIozTanMr9QuPssp9ptNMj8yN0jcs78bfzEHVn6Mnjle2voGtpe8+qnR3CVTM5d1lUz2pJFBJoJJAJYFKApUEPgsSaO+vsmv/RGzqDQnhBn8CILzZvJmuT66nV7dedaQXetbU5YoA0FSCSbf+se8DHOzCMrUAJG503Q0L+FRXdLO/bzkc/2TQkYFGDdZJpilXkFmKLmqREwBOHUc6NdRPrXt6X+k+Xa+nrQhgDyiCeRqg+hrMKmDL503GE0CJMV3f2MHecSlt745giCbBXoIB8r5+anMf4Cjayq2N8EQ63a5jvjUJ+k4dmwGQARiwj9veVh0Xxz7GJ4SxVC3XJBt8E6dAZfpk9Zb5bj3WWthiHt9LTRwKrd+YSa29hdRa6aVXzF5I62kjvb75+elDex9NT+5d5CUB3kVjBDg1Ql32NI6AEEpxJw98dnaWkB4z6fz+mXRpcBkZ6l2Vlw0IsYdDok8AsCd1Hf9M0pPDi+l861Rq7jejXuFkzAx1uiIy8Cnminvg/Jhr0aGQLLy6Tsk71g95BKYCS4FyG2dI+WWEI2dGnEyeD/XASmqqVs1airLaifLSYAQ7HdWSt/yYz/YmALARTPLCBA+7ZIrnHMNeM65y27YRINaFEf9wotTopocb57FJvQigL7zO2gnyAGcLW08ZQ+pgsDpJOts5fRAiRWC5icrqzGTGEVJQKWTtgN4Q5nqf+ePjvUjFSYyFc8P9nFpup8tr/XRlrRdhOE6vztGWcTzb6YHWeYD/xTTo579H/z51EmT/zrZH6Z3Hs+1tWf0nO77/cjv9BqD65ZQcmf89tADcwSK/nDr3MutLBS5fZhNSdaeSQCWBSgKVBCoJ3G8S6LObnsl73hh6nY1pqJkWghAETifV90yDIU5sAFM55ly+54Z3ca6d1rdUOdxPc9oKulEnCRDCoU89B7P3tptxn5sjbNACGLDxBiwEMHSzzseUa8m/ARiy/mIwo7JMFKE/2cYyACZlzh7DVg8G88raTtRpnMMGzNSVm710/sRcqEFGjfwMAA4mgnXQFmqJfCLlJgOU5BuAGwCv/RJsmDawnRScnVqdSRevAmR0RMO4ZlG/PQSWOwDL9bKK5zwaH1Ovrc+VDCTfXtzDDBFQvQGAvbacnlnZQP0XuaIK+eqZV8JCTtIHeh9CbVJPQAXbFpUqU2XLWGD7VA01PdJ+CFXQdvrY4BPxLGSfxR/zY+gSnfR8nDiPpxvHsYWcw8Nsj7HW0zwgSa+vGQhaG4JjPlVz9XkGnsxPUZ85zFIsj2AVW9j36mXXOsLG0aVnBsp4z5cUkreq/moPLAMasNSDZ6jECvTLNescqFprO4K0fVSLoy5+zKOadrDjthd9JaN5W27Rc6XaCXfp07HGcnp2eFUBRJ9q1PfIzAVgofULTjNA9YVK2b6ek8lNv8fpBi8V5mqAQtqlKeZXFjK366DCy2vRpoxvKXvLz+LkaHm+mW6g9v0sa1cmc5UYqUpVUN7Z7wC8s9OrFs86qBdHI5R9wSkP+wUX+0wW0JmPjqCa8R/VZ7Klz/26K3D5uT+H1QgqCVQSqCRQSaCSwOe0BPYmbo7dyrKrZCcbm1o2yrJBalsG++iDIpV7Tzf/u3vjtDRfgk837DmEgmXXtgCfFIswE0JNdog+R3GV+wADWMUWoFAHJoI5vchGrE1QiJqCXrvJzomC/qMCvYiWXjGt7zARfsKCRdKhz3E24H1A8I2tXjj02cIpyvHFNvfGoR57DHVVK3bMqjCGAPjVCYxVH446ssUNIEk6TpxOy1wdXwsVzqX6YoRt2UZ10TICFmVwYxN2EVW+UasXAJRHzyvFHDyvnIAn1B87bZjhjXG6eX0mdXdraWm1kSB0QUm19ND4fACyD+w9Hn0W0ChH+9kBJIN2OOJ1V8RDerR9ATDVSR8aP5FOw1BeHVwj7iTqqkjEOWNw8fIhBISQro3WAnipYhqsZNSc50qVaFONtVID9BRNxD3LO3/OfR1j3S4MoUCwnN9QmS5oKudCm8wx6s25XAZzYyqIT7EQ9qG3PG3AWLpu81p2aI5NoMvs0VYd1jOeA5TNY7/No1Mh7TWn+1nGyIyxMQ7n1fldbS5Hf8v2rU/gGB20Viopyxp7td3Bcy2AsgSOaghMp2Ew93SertbxiBqzQR35mNLSLDFSR420sTOCxdwLNeuFWcK30GZ7NA+4zPFpO6z7GdSAcz9yC8rENe8Lm3ihw+3pMRbii8zK+uWWhkPnjrVe/nfwcuvgy6g/Fbh8GU1G1ZVKApUEKglUEqgkcD9KQNgQW9jp3WYhCO0cb03tVgkmiYuIY5ml+cx6lZtqN4FLhPywpGBrl824HjrzBr+sbcBmUeDahzljw8+mV0ZUJ0Hs34PFUcW1gR2Zm3YdBbkbLj2WZvDGvdgJAw4ArrZXhkmxleWFbrBVbVDW6twMYR6wIAScaI/YAFxs7AxghJphn2Y1mS3spQXZJT6mG8SfPJLIeLZxOgCN9881z/ALEKBxPdGu8z2xPBN9uYYKozagVzmeQWU21Z6/euLdQpMc6cvURb01Tp1j2Cb2RmkbNdnxHrETT+zDYmIL2kUVlH6/aeYNOPhZJjTHbrrUv4jcdaqjQ5tOrgmEUYgzfXT4VDrRPp4e7JxL5whJsg3z+eHeE9mHDbmVn45yjmHP+WS6xHgFZ5mtdS0B/QLA2rCMk88b0p4Kin8BZor2rEvWtwaQDNVW8gjkWgV7l+0z6RnlZCvDq+zU2K39oE5ObGI6n2vC9mJ0tDHhZYMr3hia9llg26jBeDbzyw/BZwn8KBovMly7gkrpV+s3GeZExWArPwSWPrEPqPBqZ1xkjqPneRjR3wjZA7O5U8P2djjrI+o3hiO2uuaNf/7wJfGngQ1mA4DJi5A+NrBXd9KDJ8dpfnYGx1H83aCK7qubbhtbUZjLkHGUTOnyzZ106RoquNHdPM++YJifaaYzx+dxAPTyhiSIMgD9wbumYlzV4XYJvLxn8vb+VncqCVQSqCRQSaCSQCWBe1ACbtDd3PrNW1kHySbfG7ekeRzXbO4O2Dzj9IfYezIisiWHKW9eVwCYy3zd3PtV1VVmUsDFab7nMTbS2WFHH4ZCdVv7oOOddZ200odQOfSUHbbnbpLtM9gg7725NtbkoGDKVHfUPO/idRke1QTbVJMd6KzDYp5aXcBBCrErCfegox1BLVZ8YZNo7617M8KEZKdGjq0JADnVOBkgyGuTIMp217YH4cjn5MpMqAX7zDHLXA4AyFdu7qXTx06nG7XrAW59/qkm1UedHvsaCfa5MYtXXOwx+zfG6dplbD6XJmlxGSCIOqgM1waxL1uojj7afSRdg3WdUEaQYcLFTYztsd3fQ6aAQWNHMgbZxKXmYnrLwpemD/efSL3JHrJhYtjF/tH48TSH452zzVOh5hkV0R3BZABM5NpQzZo59ut8mYyFqeqoKrOOQ0ay7IdATDVnk3NhPcVsB1jr91Vt5oUDLKNPohzjMDcX/sa5TGAz1FuLemyzENWQOiRFAzTu8YKDupoALOuybmW6DyjW5tcaVQWO8DocDS+y0JxLi40FIbVNRv4J7K4txVhZ5yW7rizqsvKU1XGQTrMEv+aP8twfEL8TBWoVbKN83T8QajX55xGJdprYvcpg7rGmenz922sQxmWXlwqqYpu6ASyzFLze4W/0Gkyn/ewwTo+m3b0BL3/yOs138m/Z3PS9l/QcWUT4GNabIL5Kzy2BClw+t3yqp5UEKglUEqgkUEmgksBnQQJ5E29Dh5tSzwUGedPv/bzt1IbQDexolJmZvT4qf0fyFR1mF2spgRv7dbbObBJhXe5Ekrj5Jl5DALLL2JRZZhVHOG7QtUVzgy0QcM+dgWruqptxN8vZC2wGj17PwN60qHMGm0f77bZ/rtuGaR3AXgK81ntco6YIszrXxVPobN6StYGYJgHAMBz5OIIMLI+hCgvXFyIKSfAzFFhu9mOTfwIV2/nZksWFZaL/lhZg7sE0Oa7jK8uEhhgEOLMN0xx2i3qOfSGpg9rqQn0eX66H4LcsHyzmCVjT7VHa2OqmUZ+QJcs4pgkT0hrKv33kAUghlIVphzrwkRrA60/2Phy2nmfbp9KJ1vGyyjj2CZtxoftAqk/q6eLwUsyNIEwA50wLRMt5ssC+YAtxjWSVnbgQGrIE3HabM8wxc8M9w3iEOinCCoaPsjp30tuwLxNq5J9gYykTmFN+SaGKriE+dOhkP0xZLZWTaC5+Yn24hmUKtck1bwBYgWcUgzGlvWBeAS+yuTLlhs4xnMsIG+ExLzy6OLk5AVO7UFukX7y8mPSjf4JwWVeTquI6PXIN+rrGtrIaKg2RP+NkXqTAnvcBlPbLkv1RL83C3s7+/+y9aYytW3rXt3btoXbVrnk487lTt3tw6MbBWCCbICe2IQYDMVaIonwIIAFCkfKVYBTCp5AoiHyJEilCAiJwwNgRhBBjS5E8gW0SaBvTxnZ3+3bf4cw179q79lQ7v9+z3rdqV53hnnP79r3ntt9VZ+93WuOz1r53/d//MxTqyeV4otLiy3y+mFlEZVZPyjqP2jkcp4Vt47kOA7yadZH1XKZ4wXHQ56XLJL1+YyWtEY7Hvvn15Xf2cW6Fay7n5iVOQ144mfzvTvT9Je7ry9C1Cly+DLNQ9aGSQCWBSgKVBCoJVBJAAnmj67d7ZbmnQHOx/VVA7krzZrmDOqmxFmV3jgFOqtdJKuTNn/lybo+x72Z/GHdFH5d2iLJXMhJu+IN9hI3ZWp0Pb65To9VbBx9VFcuiebuZ6/R857BPPzL4mAcZqBqoY5PNlbzRhhwC+DXSl97dCdtL815ZW4QlJdA84G9pYemsbk+0q9yob6SHp7s4+kHVdW6rsB21N7ndAUyRINUNvKFGFpDJ5bS61ML5DAwp6rID5LR3MEe7HewLF9I9PLB2ABRK+kWTYUh0DkSQiicWreHIp7mC6nEbhmt/knp3m2kNO8yltSxPnRYNmZE6znxWG6upMaqlX+r/K5zz9NKr87fSGkxlgKJS4NGKoIx5wOvqjfnraWHaTju9vfTJ5qsBzHQMJHSTdXNEsoRN7hVF85FFoNOeFuyfqsejQXZC4+LIwJRslHMNKlc1aYGEeEK1t/lFRwlAPcr8ZSCW++Z1qNFaCf9MuZwMc14fUY4FkevJa14gOAknTDC2gE7HPscA9DLrufa/rdNmWsHbbDgVor8CQ9sqWghW3nUWsVy5K4MZ3pGLvrRxJBUvaijTgkl3Di3tusbxboD+aR2mGJlF14v+kyXKWXZcG6bOtIMqN+Cyx28Pm2c1CA66JyEv826gDl6mrqwla3QDDYJ1PBdH+8VDNRAOYNxLhrUs87IdNUVlKRADVWlV6b0k8Ph/hd6rRPW8kkAlgUoClQQqCVQSqCTwjZJAbJbdzLJJ5s+N+xdP/k1aaa2mW3M4hontMOwjqqQ6BxnCBJVeY1tswstUVFNexlHwEMUv3M0b59jws4OU4TPJhMoy5c17ztOQTrIHNsOXB6s8Pu5j19glfwYWS+35UOXcxHFPuZmGjIo4lBtL7XR/P3vp7KEOuba0iK3kKO3A7mwBNstk3aqDXq1vl7cKsJJ3/EMA8IN9NvS0eRVV2Pa8fXs8CUwE3sc4EhrDwBircBcGRpbzduNmFNCuU6BVMpllLbml/B3jLh9wRAmSDfd7gFLAUR1vvXNbvTQ+BAg+aKXxSSstrqE6iSOYUjY9HRmBUT85fYMxZqimjFUVFSDFwH1DkP/lSyTfr52kb1v6HACnG4DKEBza6E4tXJSzDUGmDKSpxpoxHqWspfaVMZnmJwVUjHJmdJ75xEsHq2NuOc9eWIs+Ran8laXkd8DL3HyuJuopsyrjDH1ziRhM0Ufz2PwYFd3WvPKhTfo7hyqqZXzxIQM7p9Oosp9RcSmYohXqsIR9tpUSxFKh/5ABL294JjvPFQCW1zhgfuVmjNFTEHWuPtcR0lGll78JeVVtlv6fO4GVpk9v3jtK9/Yz860jn1Xsi0228RbPVPPdXsem08Znkgyn8/syM5eunTHaDsq9hWOsKr23BCpw+d4yqnJUEqgkUEmgkkAlgUoCH4YE8l43AsKLCNzM5n+1dDQ8SvvEvVxvECORm7KCOsPRnlA1QAFmK1RQn97RyQQwkXfNVJE3irKW3gpvnWwg+27s8XAarJGb+bP9ZO5LqT4Z7BR1+HgH9kXHQqYOm2uZH8FeZ2E+WCfvu7F2o39lfRk7S3g7wOEeNp3rK500T15tJt1sL8LmnDVpOQuTLJsvUCsFAD86OAngu73RLhhWM1xMbu57MEe7sJYtgLGMloHuD2nL/myiNivA2DTuJGl3sovCKiE2ivAms7WpjuvYox/FA8/9lH2czT973mCutrbxmout3tEu436IsyNCm84vAnDYsGfJwCgCJlUPtW+qumZQRAvRaD7m+chytw3zTKmjN+l5UeQFmALMBYJNvdHaQT4CLpP1G+omVJ6xkY25sajlyzzmMzO3si2jF7lsZibzdf7O9VoiqijqyM+ydMITq6Qta4xFQf+yXaVtz6a44p4AM2w6KSPwF1zWsVsVjHke4+ZcdtXmbFc5G8s1ADkV6RioZAVtZozzHteAL20EzTK4ymEOFtNafZlhiJtA41End/OA6GKW+SkqyQItfP7Qv2ka8F7gLsByFKxrLd3aWgsHWRZzfftSQ4/IC5d00QMok8nxqhqrTMW6OsF6mZIvjJSvHpeZhio9hwQqcPkcQqqyVBKoJFBJoJJAJYFKAt9YCZykVey9jmiETabMChvYcuPNnWDo9uBMOmkJoJTttpYAl6p7upHtA9aW1O27tFkve60zFDeJZ8lC5M23/AZwcM/NZJuNpN5f3fiaR9s7LzIMIi8IJ2/gUQtk83x/94hr1S2JtYjnTAm9FWwf3ZhLMmXw4ni0u5TZaacTNuSyrgewnhtLnfQQu1E34zr3ibiUZI726UL0sfgSLD6EsdRJkKqGHgNg2NdiNLanA5JDnAXp+EjAutYxLmaK+JqC0wPaErKsrxB+o2D1VMPdOz1I3alejGLIRY2EoZhbTkfTHKsyHj7nl4B0pY6KK8AFzV/Ck+AMZn8u7T7EqyhE7coGTCIqlnKg9ruOIx2KnLUbUigFMdNmuTbC8y6SEhyZtD00u2qvDZzX+CkTCpzRhlkNK2KKclyXYM17UbeTRfL5qLDtdckIzlwbroFyhlyf5p5Kc5EsH/aY5iC/146JE1g6rW9zUjY+C6BL5bnF83qHILe6cTMpq0dbky89TNpnCpbneKEyxt7RNRDrgEqsIYdsMS9Xts8nyihobgdcFWD7AoU/v1XHtRPOVQDMaMjsFPCfH9ox7uZ0Qp2ojPdQK9Yxj2mZlyl6qf3ynUO8v9KvAnAucF5qAOhl1jW5zwsO1yFVhjdj13THdQq4zHKIKj/yLzSG+W8CdqSLL1OvPnKxPLMDFbh8pniqh5UEKglUEqgkUEmgksCHIYGT6RqeUgWXbLIFF26CPXerWQCGAQ5JdM4yh6dLwyW02VgbrN1Nql5jJ4Ct0Fy90GE3hWyIrTCfxlM3yuHExyvOY+sYX1wDtsRbbnyzU5esEmjWMvlMxvSr9/ZxhpIBwwYqrqqp2if7Zgrmh7qsOoMTGcOF9PCwF2Bg/+gkXV1bjo21NqR+VjqoRJI5ww1byknnP/cJK7IAQN0K1jHXbxzNI57F5t9yFBEky1JqO7oM0FU91rS91g7HPqNgTg3HMpf0qgv2iPGu4iwG9z+h9ppbrUW4k7vjewCQmJR8++zbfjq+XP/Z7eJERng4HZ7Zi0KWpSvbgOvWI1jMehqdYIt3hTiXoRGc5z4XPR/35ToFSuVkZmYNcBTjzhLz2fB0GJ8mKrC5JuaFc5PsqP1SLTb6HWA254prwRj54g759Bw7GGDbyl3FGLEodfJEnhg1X1GCGzFrlHdt5X7yLOoDlFJXOAgyNxXl++RlDoaANOsThJV16tnYj6mGraPJvoQNJja9NeoT7LXbhALhXLvQ6ZTxKgtrcyFEOx5ikGGjLAg+GePMx+dFMv9wiF0uc+9d+6BnWXvTbhnGhupoS2yrGusIG9n+4DQd9mGMSaqp/47XtmEoW/wmjnh5UdY9xaYYZ0jjA14AyaTj+Ie1KRCOFySsY0Hl0kKrcH4V1b00XzoA8/M0tfOXpqMvUUcqcPkSTUbVlUoClQQqCVQSqCTw21UC49gUCwBlWNAexJGJu1w3t2y/43zKJm8wB2sXTlry5nUdhzX3AFEjAN4R6nXrywIItsoC0tillxL1wgrdJavSV8Ty8/FZPk/0hEl7cUYdnJcOUvJePLfrRvshtpOHMJemFWwIVYd107yMjaMs5uWUN/2Z4dmAvXxESBLjXt7bO0y3ttcI7zAORscYgW68o6N+03CXUA96fZX5VJ3VLrrJ78F47h9lT52nc/SFIdQZ43x9Pl1DZXahXU/7ON7pjrNNXLveTqsri2kHJzs6QzLWZof+lqFclHbIIw8zbcytpTsAS7mtZ6UiexS9mA92d4JNJE/mictosn/NpSGgBUCDmuzDuwCMVeJirsNw4VAmJ+fi/Dzm0ktv8xXTyByP8OJqfcpIlc7IZ5aiJ4KufJnrijkQlJFfxziCReNltuZh3bg+ZzRzMUGXILCBR9gRYFSHQQEKsSP0BYd2vybz5b98nkvnb1VT4+VGXkC5PHX6F/2hZBNQxgEgk9m8GGauOI+JZ47NECKWUf1VdrLBWjEJUB2D61qQWcrOvubEkTpctwOApa9LDPMTYJY8zo/1Bptqz6J/lnSNHYcnWMGozKuw+gTbWW2GVW81ba8tYTOMoyj6s4rjHmOuvv2gG7/LASzx4GAcoFhHV/4+fIGiGri2zS9rymywL5iQfX5X9LJ29aXqVwUuX6rpqDpTSaCSQCWBSgKVBH57SsA9sI5ZSzDguZvd2NNxjK04md4d30mfnvuWYA1lFRfZqLZQtRwIslC16wCmVCt1s51LseWnPF9ZsB6ohz22J7Fht2430WyvvVl8my1vsuMe5e2bjmCsT4ZRJz4mAUZnHnU+8gtuO7Aw2vsJNkxRO2Xiii9Zq6sbS2m/B0MIwNvF06yb81VUV/cAim7MZRipLgCkNmn7gEBtTAXTcR+Vwz3UXlWTFUCuAVYHjHnvdC8aXMULLNEm0wHhTLqhzhpdSSdTeMkmMQ1pa3w4H6qL2quW4NJcS7UOIGocarB7AFOTMirHEzce+3J0jvTJ6XBylF4BqPZ13lOkuRaqsVsnaUTIkv0Dwr7gIKajLab+YKKqXJ/jjVTcK68FvLJ44e20EG6eS3MLenJBMCgAVA+olEDeEetUlVD+arwQmIPujrFRsaqhAjxu5CVjY5wLugSTAsVQk7YJHsmkG7sxEtf8K5JrTBjGvajLM86pLwO3AlgWeSzomtXOsmy/zD97tFOxnu0xA+MymNiGTCZ1T2Cky5chlit7ZL8cd4RdoTHHoXOjnMOO5xmOG5FX4O09+4v8aEuw5d94SOgRprELuLQvTeT36tXVAJaW9/cgeAx1a57dvmIMGl4uADxVZS9ZdPO+zImpQbYwrPMvLwB+GeVXgcuXcVaqPlUSqCRQSaCSQCWB32YS2GrdY8R5E+cG1h29G2D+BcB0k+suV8blzun9dHPuGhtbnczgDRUGZDiEdYK9FGBuLJ2zOQUsDds1wYib6xoA0eSG2/L5jLr1msmlrc9h6+bOPezhuPY8ew7NdpkP9rvh/MdHa4s4xgHorgAqN1BDNbnpjz7nq/iOivNZqAHqOfYBXmINKXLv0UG6ub0ajGfYSQIYF3GCosMinfcIWpcBhPZPMKh9pk5UtLuUeQzmCnvUvSngknQwPQzHPFmWRaPlAbRTX4SFO8YOc4LdHABV1dkyLdWW0oMpXnceS6WsZh94L6fzs/LOxePeZC/Cq5zdVUgRsgT2cWGSjndPU+9eE2CNLel6ZhXP8sbJuUS9nLD7987xtBcATuGULxTynOY5kDFVPgJmZzdsa1GNlY0UiCkj15p5rE8QadfCuZB3Yo1k8OeLgbC3tQNkWkCftwVLvEysUMfv2jmcot7NifUOAfeuO++H9KyLf4KyAJ82lG+RI7fhqC7PWwkobTuAoWXse1xzDwYx+h995eETkt6Poy2aFGjWAItzgGnVZC3hOK1PcBu/PQB1AGEe2n/veTLsExcVdnQkCCddhbG8uo5B7UxSVVu18Ta/za1VPcXOPPyYnPoCSo33xc7HsPMfoYwrcPkRCr9qupJAJYFKApUEKglUEsgSaKLSiXUbgCFvWN0Fh00keFMnLVMYhHKLhzVdbIJL2Rnz8hB2TztCVWPbxKNr48nSpH2c+3dTAA913GKrnGvzkVt5v9mtc8xJ5jG8y3J5ys7YJ1GSrPvHJ9hM9qOUKrSdhTZt1AB/2aavbK+oKg7lvdwVekJzV2Ar9Rwb8SpReV0BpHZwfmLQ9p1DnPvg7CbADLtc2SCBcB+GducAeznKG4JENqhMdycPytM0AtTkdBGQlRkEFHMtAEBfpyxZ5kok9w8AgZ3k5eRzP2W6fF3ef9rx6LRLeTyKNm7MZKHFoi/zV47TGAbzzkNAMyzm4iYegHH2k1M+Rv8swqWgrUzO1wCbQRBbWliUKeNYB9T4V3T0lDkSgMk+CywFUiOc4TQ9J9yHYCLnz2V0ouPLBZP1q0IrIMzH6AmMKKwxdqoMgTy5jxu19dSDox0YyZP1bL2R8uM4te8BGKNcfuz1eIJabLlYuJ1BJt/k89yXGOEsiLZKBzyWtkwwnrkqxpFT2TRFH0s6JpLx9zeiZ9kyhf2qrREHM9tq5tr8HgwIJzOag7nPtpmuyU+/QgzWggW1DtW1dw96aQRLvI09pU3PDMksz0xP6Ooz83+jHmpr6ZT6nqlKzy+BSlzPL6sqZyWBSgKVBCoJVBKoJPANlIAhFxLqiwLM2GCyI3Wzb8qbbM/ZlrPBHwB+6niHVa10BEMScSlh8tzE9gjsDkaLzb6eNGt63Ixaii92jOV1PvLtP+/HM9kpNtJ4xOyh/noCCxPqlNwcw950cWKiiqAb6+ubywCUKV4uDUEi8zPb0Pk5Wc+fFZkWcPqz2pkP9tJiewSiv466rPaWspM68Oloy8nG3XHq/fWAj+XWsbs0vIiJ3iVZwTEyOR9ZPHrql/lq84ThOEGGyO0EhlQnRNFPSrVr86jQAtY+4HR4SkzE8YOwXbxcdY34is117AGJjbm3c5r2v9ZIm1uN1FkTFM4KNst5Avhx/mIsdNz58IXExHAy2F/KVDqfgsk8r6wv6hGwm1ebSz+ngNKWLCb3GuR1XVm3bxNkMTOTR/s2ZrIrnDdxrrM+txq3Ln8t1hbS4rSdeqgh7/OXk68xKMy/YD+tp6gsLwkBnTnyMfoJGHZMcd81x1pwLLMA1M7IXJp8A3/teAAAQABJREFUlhda7mz+tsanpzEMpOWsW2CYmcxc0lJhm0kb9nEMuNzvEbdU5pNnr15dwQb4PD6r+bvGUkW9W9XYLw430hffPX9p4/P3SkcD8j9ZrO9V9AN9DrnNb0+ZfqDVftNXVoHLb/oprgZYSaCSQCWBSgKVBF5uCTSkfSLJFLB5hmFyJyugcwcr2+StvBGHGSGkhGqf7dP5NBzXgslbgL10Eyjo04vlInZSaOTFhrimOh91XE6zm0arjyY46iTnGDZvwGfIxlv1SwHYSGcm1C8gMem8ZGJIBgpmYOY4rKUcz/l5bPq97z8KCA4c18byIraTWcX1kE35OsBoZbEBc0m4kB6xDgsAeYzqqrWqHrsEG1SGD+EWwHI3QIznkcqBlNdld8rr4lhvAq5g7FSN1bFPeAUtnq3Nrad7E1WVn5GinbKxpzTyhOK72oU+NSEXwKWOfU6HOBxCVVambH2dyWyVrLZiFNw7p7YrKNS5Dowkf3kKAFzqNNI9QWYGZWYt1F6ZQ2NP5jpSnAvilxrLOezKoJuGNV4sTAgHguooCyDUkFVwFZgap7IR3mfL8Zc9KQZGt+xZE2ZTx0m2b7l8r0m9fbpG/7kXHx+QdPxTQsEWTn5cJ6X661SAzb+sFpvbLYG11UTlHuLCoec8gsLa2W/MVkxl+Xw1xFFQG/Ve11Xd8C25qZzTrNQ56tfxymz4nWw3u8SLj9ewtbyc7u1mD7LDuZX01XZWE7+c55nXL0GoS8XlS6MWWhD5t/vMHlcPZyRQgcsZYVSnlQQqCVQSqCRQSaCSwIcvgZULrJRb68xYzgXIpD9usGPDnDfE9vDo9DCtEHtxodHOKnnkqePIpwR/3RPsvQAFlqtJPzwz0SJtTahDr7Pd/iBs0k4EloBJd9pu0GeTaoBt2C5B5wq2kC2DrEfKGTOzlM/LzWk+cs9xFRv2ZVRhVYfdQc1WBlaV29sLy9yrA/jwpEr8P8GE/dvCyY+eZAvskHZPd4PBNdbjWSq7Ud641G9vn92SxQNglnaXjtG6raIBKFoFHBwg529MKjt61pto5nSMeusDQrr0G+naZgcHTY1051Ev3YWx3bxaT83FbBebRwGzjBfcOkBP77iTUwC48xVV8pIhAFyNNWLs0aIdm+VjLEeB5SwDKDTt1BYD9K+0l+MlwhB17QEM7ilLqE0clf3hPirHej4FXOq1uBxGIaT51rnN7WCE4ySY+OX6EmqyAq7MmGY5w6YWAs8gEDAt4EUtttXCaZMV+4/3GHn+i/4XB5uLtQ0YLNdXKZPZLjk+bUc98tqm6GVUXXyd3SqLFzfOGwq4ywuIwXE9HcKuy7oKlGXZ15dVQT5PqlgfYg98fXMxfeERz3TO9DFMI1RilUDFXL745FXg8sVlVpWoJFBJoJJAJYFKApUEPkAJfGp+mEqOLHM77nPd2vlhQ8xBludsa1wwVu9M3kmv1l/FqQqMCmqdhjY4YEPvnt3rk3E9LaBi6kY915c77fMIKM9RpzhHxN7rAuoMK2I4EG5fSAIuGZ0GH9lKGZuVxXbq9iahvrrSyeC1BCpR3jbKmjh3M34+AE/zaASp26sd1Aix4STfATajm/TBsfRg7nToo3rkFewry9iZ1nyI/WL3FEc2sz29cMGD6Mh5hnw5c1PiDHBZQ/tVkGxczNl4fg2A0WXZndc2ezZT5+ztFzw/HdXT4BH2q/1m2JO+cmU5alhst9JbxE5852snOD3qYItKQJAQeVaRVk16OD4BrGELODoOIBUFkcdyc8bRjHNAkhkXWApKnSPnTQA1P0eIF9lE85BXlVhL1EWWJoa5Nb/JnCAwPBT3p7KP5UxyC9tFyykNv9sAzf7gBHC5HOrUQ0Bqc64VIDh6Qt6yvZCgrGVenC6YOI/+RY25fTtki4LbAJe2ZBkf50oiZEoQlTYSDQFQPfU8Z+XkYjJ/rFdkI8tZZvM9SLSIbLpd1KfVFSUto8792rWNM2bde77YeZfwI3pL3lxbRK06y9JnH7c05Ldn7+tnL40+biP46PpbgcuPTvZVy5UEKglUEqgkUEmgksAlCcgKudXPKTMkbqZPAT+xyQ1gefY4vVV7O603tgljMQ+TWE891EhlH1WpPTwep3niJwohymQIEZ3onODt0hiTJzAt45LVKjNxNE6lzKd1Ghhez60CSz8R/oIyx/1+nAs9AhNYPjbpHgUK3iCxWdeZjCBxpiucZoZWu8tNPMc+OiIsB+zlw/1+Wl1GDZEx25b1DHBWNB9MLN5IsVvcPz2w4qj+sa+y3UsPMra4WAazwTSyDcZz0MO5DUywDLC5FrAbbNdwTYPd4NPTUxp7eoH8pOxGUfyU8BaDRwsA3Va6vrUIiDwHhZmNnqYl5LSHN+DWAE+664y+TWGEI7jSK6ssYRMZqeIpW92qZ2dOAapo1XwByAA9E+JjZvEx9vgDHNZgovlr5AA40U/zRxtclV1uARrtdhO7Tp+dpyJHccuDIFbmcaOwzdyd7mPD6Lxbn+g+TqjHYwaKAt051k8k7oeauBfktT8lk2lRm9cJkCeC7JxNe1JeSpDXj0CUKc12npGj+LJNkxWdJWUEcLVrluXlh23s76AtwMuXUiX81tYqHobPVV6do/t7vcjzxg3CkhintWmjZxV/bE5UYx4OlANrokJKLzxvlcheWGRVgUoClQQqCVQSqCRQSeAbI4G82w3Qxc5O4sONdLZVc5fKDXa6bnrdjLs5dyO4X9sFDqwBwOppY6VVqJIS6J3wJCfYTS2BASzXBVi+df8gmEo3zLNJZy4LAEjrNJ7kFcIryCr6EWyZhFw27VmEhKCSc41bKpytk4wBW7znI6khQewMODaHyfFd20AFFXAXqrE92FdGtAQDpP2l6rG7eI/VM+2gdUTcyqximUtHFfnLti6nMlPxbPbySn07TcEHj5rYFmLTeUT784Dq1aX5GKd5VY09mdifJ1T+hFuXm3/qdUyALQCETvCQ+xAVSpjmG1uEtdg4dxDTpV9v3jkI1vbG1hLTOE33do7T3oNpWsb+dLTE+qAW1VyVp/aCCzCdOvGZY23ErDlp0dc8imAuh9xzTorUhlGsDXC8Q96j+iQtE+vTNWPIjmAGuX+eOxfSyZJLw+oNaeK6zHkKaVFepz+y5GYiW1rh72B8EA6auBn3rM31YVtLc4t8lkNzOr9AYL0D/v3zt6D3WkUXzLvtzXTKPNHXqFCvrSXAtHn7xz0K+GeUz6KXhWwy+NQbbdiYno0ELYDeXDrc0+lTZi1dl69dWws236ZMqsOqwu3c6cjnnYMGmgM8cHI+ZukEYImYcwgSXwhV6YUkUIHLFxJXlbmSQCWBSgKVBCoJVBL4ICUwJ4vj/m1mk+ypG985d+58xrB2MoHZKQlgQhaw2LXKuE0buPiZPwY8zgOMOoCLRjpGvdSNtt5VVfUcUsebd/fCUU/Z/3lYTlnDlU47rcLCNGEpH+z2AYw4dmEDbcrdmukc9+yvzKhttyhjyIqzTb3PLehGn4zR51kEcDbQIhcHHw+pr4lX29GEkCxcK5d14nUK9mSI3npwnO7uH6XmBuqfhZZmNPO8XzY3M4ybjevAVypiJ3hltZ7eHh7HmB4ZAoUxCbBNwc7F2Yt/2Vwe5dPLTmAhBw86aTKopVevdbDVO7fhM+yK6rACt9uoyJZqwW/cXA2AeXenl1YH19JwdSfV8XQ7GWELiczxo0u7gDEglJPlX1Z8Ra64Pq2fwiayhuyfnnabMJ4rJ/3U0F4SgLlwyksGwpnMiCtPEvX4T2/ExlP1Y9+cpy3UQNGKfSxNauRN2K3GWqAaJncOnd4W4NekZ+QJf9FHnmnHqade8x/DGk9q5/a0Exh5bvOJL0pzpP8uoPLPOj03tMg02H4f82sJgKpTIaRS5i/WZdRnOa6t2hrK78molk72W+mgexDg1vuffWUbW9jzwU5YuwJ+182NzaWo4+5RPZ34+80/o6jv4/DlyypMrfkdGtLm/fzQPg6j/Mb2sQKX31j5VrVXEqgkUEmgkkAlgUoCz5DAGk5l1J4r9rMXcrpJ9tGcKnaArGmou8q4ZPBljIS8KedGfQQbBAMHg7IB82YoD+NeDtlgPzo4SXtHx2fAsgND+drVtdggG+YhyAl21QEQOcpKWs5N8xg1VcOP8C+SITvck9s3mSs5oHu72ODRUfuav84O+eQCSsn1+G091mEbti0AKNMC3m4FljlNsUFspwcwQ6M9QPDaSZprPKVSC5xXU5QvDtwXUG7ObWRgWdyeB5jpgOU+wNrA9/c4bm8201FzL+2c7qTX66+l49P+E2NfPqMXT+1G2SkZy8HDxVTHWcytzUnaXuwiB1lTWC/m7s4j4mIyH69cWzoDlpYNphcQ6kuEdx4QFubhShouHKI2q8dYgCN/c9De5QuIsj2Pp4Crfr2Pdx6Ac4F82oC9+RiIX8wpczHq3SVUyzbrQI/BsHYA3UO89+pJWLXrsNkEPFniwf6QcDJD1lML778tbA6b8aKiRV+66TjG4IuGFkg+1ivqtIYocfXEZEXb9BZ2saGqbb4b7OlBLTtUktXMfcsPbTl6S1/LP8vF3Xjg+sprSi+6psxeCiCL343Mbfzzd8bi4L79sbhJ50p9GMj7O0doBaBqzOObm6uEH1nLGYpv7YXVErh1pZOrsOwKvyPZ4Y9Z4v1EeIld7pS/vY/ZAF6C7lbg8iWYhKoLlQQqCVQSqCRQSeC3qwTW69hFusl9Qsp3M8B011rHO2sNlcUAgdJ77l0jE3nqoD/UOw9hLK9tNGH7mmnvkCAUbMq1BesXKn3aUN7exl4MxpKK+BdQBB40t6bnV8Hoo/1zwOimuvxELEuaBYNFUuPxBOCFH1O8igIYcjU8g0GrgWCK63zf9sou502+wG55HjDC/h9IA/ua643xFoyo49XesrNUSwcHMLkH86mxOgRgFp0oisThGfv59bk14E2TfjH2C6kWQHtzBSB+eAJzA7DbA0yuHonA0puTr6ZvbXxr2iXkyeV0NgXlQM8yPKMj5JkcN9JgZzE1cJZzY23CCwEANgh+Oqbd1El3Hx6nAaDuJmqyvgy4nASY69ipKpdH+z1YxDXYJpjLFWI26s3VFxKkAF7IL6bBrwJQxRPlCqu3SCzUYlYiv5lHeI09hsXdx/PpUR92kZcAMtvLAMeF+YXkvBln1BcCvtAwtqOhZN66D9MKqNQh09JCg2MrzS3iAZa5XGZcJzgeKtvq4hAoHPqgymvYlIW5NgD0nBEUHuf+UwLZaP/oughnPtSiHXI5rgCHDrkYa6ht+xsBaFuHz62vJu0d1fB7AoAbw7Lsj6Az2ohbjdTdraeHD/vp+ITfAmkNhv/Tr2xeeAnifQH99a0FfnMzNCVThhnsxyshrxGOfPxNdypw+b7n7vFf6/uuqipYSaCSQCWBSgKVBCoJVBJ4QQmI2iLFNjlvli9V4RNzyby0YGGEVFOC3Efw91zMO2nS6hEuYSEc4axi96X64oiYfLJPJgHJ7StrhE8gPkI0y+bd2JUwngnbOLuiOujVuYXChi6XKdu3jbI5ne3I9I3ZQTfWAQx4Ar1RW0+/OfhKtOXXSeiv5vG93nwFUJfjFh71YcFQqVwB4Gojar/GY9Qsj3Ney07Z+Gv/JrDkXzisGcwDXJZQ/zxqpzG4r7ECwBRUP0faqm+Gg54LWcvBFDe1lTP0ivad0xF2i33aaQq8Urp7ejfdqF9PX4NVfHI677vPL15dLDE6bmJjCWPJGG+uT9LaoqxcLjE4OUr3jiYR4/O1a4ZkOQdbF2vJVzpaurm9jAffQboDID24X0srOHEatgcxn40WNo/OWjlWjzSlXAVcKwn7TmKm5kRok2EjHQ3b8ZJCD7QW1DvwVbz1apOr3WuomM4M0HAp6yvIijcOMtt7APQ9QOkhjqN8GSEoXegQoqPTCwdRizhK0nnQCu0fEaJEr7WGUcmor+hKtJz76Z0aAM7+an8puAwgHuMqBkZ//H2EbW9x3zGCifNYi9+ZecSgtimLO0ceXWj5N+E3NQJtTogde8ILjP3dIYBZhlVPuPX0GdRhN/ztXErryxcDU/7DLy+mg/UZAV3K/7Je+sJogL3lfJu+K6QqvS8JPO2/EO+rsqpQJYFKApUEKglUEqgkUEngRSSQt6B5g6yTkVM2uLPJJxe3qTIw3sSnJ6yVMR5Vl3UHPG0S6oHQAX2YpHarnTYBboaCyLEqCZ+wMM+nHZtzC/inWqwszwT2qq7rVBqbN3xJbMZlenJvcg+5IK/p1M0+G/1aC3XBCG4PKJs+SqdzGciaB/iLmiPAgXZ+c/wlAAWM6lwnbdSv+RjGRwc0jibXKcgsk145cx+sZ5IeTB7EozpATBXd6fF8IhoJTJ0May5flp09CkjW8FSq59fZFC2dDyce2d7a8jyOfUawhtj3Af7Cswz1n0wzyFyprcxWk8s9dufpNya9DCwb1H17YwywtO/2hjkA2DzqNsIj7GvXV9Ia6s3PkwRwAhzZ33uP+ulgD3s5WM200E2L2h4Wc3a5rtYE1V9QugFP7EW93oK5Jb4o4N8611BxvbaRY22GhM/qYeXMihy5kR12ElVmOuGLjduA9MPjYdo56MN8jtLuzjjtPKJf6N92lg7SFrbBDewuF2ErT2raBS/gkgqHRWUnacCXC6ruDseZOVRM5RIxn+s3i8516u/CDFkt2NM6RqCurvhNlc+5dp0JUHUQVMfGUwtV65rnpUrttJX2drH37GIreozNp4uN56sb22lnaSv9k512xN70Z6o5qOT5Mg6nOq3T1B3Mpf1t5K3W7NlAOH9KWp4j/A3MsQBYq9OPOp2cZHkGuPyoO/Mxbr8Clx/jyau6XkmgkkAlgUoClQQ+zhJwO5m3lOdnTx6PO9UnbT5xgKKXUEDmKbTDmBAUvcYeXj83UdE7DRayXahUWnq+0UoPUJHdXG2jspiZStvTIc/pkDALlHfT7QZd1ca8kT/voXm9KbDQ4U4ACrbmqrPaPTf4LQCKDNAYRnSB2IAdNuz900FaqLfT7ebN9M743agj6or6+GKDbSvhcdRLPtp5ehTUPTx9GHWXUmguoaYJOJv0UUMEUDU6TwaYHTyPqma5PHce1oMqn5kEHiWo1auq/bLd3vQ4vU1cUd3PvN80gbHUxrKNjG+sj9OqoUSK5Nler5X2+430ytUFGLKLbFiZ72lH+7lM7NH6lSlqsqgPA3jSeDn1Ya3r8xPiMZZid0y2NpdGDeKJTtvYExKW5kTGEpYTRvHqBkwkwFZG0iQIM5UgtTy6Fmy3PCo3n9UYXwa88wHWfdlx99Ex6tbYtFLX/j4ejve7oVrbWayhFo2ac4s+5Xcb0TuBZas+n3qnMO9JFjbPi8yjSebyLNGJmCfa1muuV6c4EvLM/uSXK8C3womQtp3ma9OGi9mXOs61jn96x8w14Hq32w2Vctuor6ynm7e2UkT1pJu+cxC1Tumvmq+7xHnVX/Pzpm0ccG2j3v6dnROY/mbqYnMryHRWlOUdAP4+cUQ/zKQjnwHgsokBuGulSu9fApX43r/sqpKVBCoJVBKoJFBJoJLA1yEBN5OxoYw6YpueN8lPqDNYmjL3eaGowUs39OxP02kTNT7Cjwxh3gwDMdRDB6m0JdNr7APiSOpIR/tKAaLOVgSYE4BIBhJs3NlBuxl3k8/j2PRaT3mqt1GBWBPPMAO8epZpo7kKMByjXkhcysI5iwD4WuNKAISoLDqc6yrLed8+2hb7/QAExg7sTo9ok403YLYkKPVAW18aAjBgfQBsOuWsXQKYy4SzWCOMSAF/zpq5fBLtebPok0fv2ZZgI/fShykdoD6a58EYmG1A4oyNXUgmsj3xa3TIXDxaTAts3m8CLJdKYJmrTrv9xfQQJvbaRhtV4RcDlrMNzmOXuwVztrQAiOtiw9qtp/EhTPYCMtP2cR5VUP7EaAKvI2R8fDjPiwnCz6D6qvdgYzTmecidi28nhSTLbRoA+hRPGzkE42wBUgBMgJ/rMa75UnX39lXCi9gWarPXN9uss2kwtDv747TH+tFB02qbNcPQN5axRZVFpy09CIPoo15BoUmvuBHbMq7yDNlhX7AI0Vyzgj8ZS9vxz5cdroUGLz/qrMc64FMAaq/1vmzszSGxRg/3T9Muzq904GOqLS6lz7+xnT4BvfurLPNYEvHk/X39weWTtAawXAt17lr6bPuc6S9EmH76Piq5rdm19f7aepFSvT7+hPnZtxcyiH+RslXeixKowOVFeVRXlQQqCVQSqCRQSaCSwIcoATf4Bn8fhtqlG3e3u3kDXx61jovzYmNfdk8bwEWd5pDYQwPoCD+CiuoeHj2PCbJnuITSkc8iDlhWUfk8OBoAInFcA8AcADQ3V2CNQGeqx5oEmKYAmew2T3ES02Sjaw9KRs/nwf6ATC91iXxs4HHQ0kBtN4CY/UJ/MMChdbA7L0dXApHsCRSgyu462qDSALocN7GVfHd8J+otyxmSwlATrTU4rZ1aGnZRnqwjpYWsutpB1XIdVdjnTY7NAUb9cVGW9Caf4p6HB6eP4qHju924ne6ku+EypshSFrxwHB3BWD7CCQ4yfnVrCMAsR0I2Cu6dLKavPRjBWHbSNiE9SpBRVjLqvZuaizfLy2ceBVY6xmniKGqBEDSydnvM+e7hKB3hDGmhXU8dzCzretsFUB3CIs435tMnbyyj0up8MmvxYQ0ULQnp4pz790b3UH2G5UJVVWdRLjxtaa81r8bcLbRRLRXokddjKRdVZj9xazX9+lv7qYva8auo/V7HWdEAr8YPYdN3sdM0TqQFHuyOwtb0Ciq5dfobU6BQ+BdzzysN16svMabMe4DOMSw+L0iGMPCuXV9UeN91N6aPi62FeNniJNvvhiqz01Y4GXI2RoDet1DdPTjunsWzZOGnz75+NX1iNavXng3mmTPw7Ievz2fQ+qxcTcb0YSadNfX7hKSZ5zfYKmfsw+zBN1dbFbj85prPajSVBCoJVBKoJFBJ4GMqgcsbyplrNurusN1kZ/oubwDhl/jLoLDOJnoqW0ReQ1Qe68wHdcfBMIPFeTbe22sLAL9axCc05MYRNnGCDwGmdpZzMJVTdkanBcAUbgk0hoNB3oxTv4xUdIOvDCIeF3f0LhCSZzBS9eVw4EKBAAjWaZoAXCeTyB3XxvUMcEkZAYGsk544bzduohq7E+A5AAXlm5N6WmuspaPNburhxHVyBONG31uoE27ObUZ97+cr970oGQK/WIugskxK4rOtT6U3R2+jWjlCfRPgUE6bFcGsjrGhlLFcol+vbRFDk+JZguIy1ENPWsTvnOIVdhGnOeehLGxDp02TwQ4nqDz37wG0tpDPeftlPy4flWET8ORHWetQZ2MFkImjorsRbsV14j+95M4Dapdi/jOo9GVHHsRY9ebC5end8T1y++KgCCdiHueIvp3gzOlrw7djeq9Nr6Hu2gqV1pCVUx5rIR9vbXfS1+53Ce9xnG5sL7FW67S/HJ8D1uP+0QmeZ8exRnWsNI/Amu3FdIpDIKQZTGZzngXuuACHJl9i9MfH3opxkTFCygg2Vc9tAxJ1QuT47MtKi3YLG9xTgOYJnpTvH5ziZOokPMOaz/w3r2+mTxACh9MPLP2DvU76D1f6afkZjqi0nf2wEv/ZAFgqONZC5SH2AxH7e/9CP5BmqkoqCVQSqCRQSaCSQCWBSgJPloBMizZPNfU7ZxN7vtgwc89NoJvmvHv26EWRPw58xSZeJzlut7Edg40xRqFJgOEmWYc12lW6idfjaw9nK3r53MYOsw0ACk+c1GOIEusovwSqdcCn4NJNu225AbeOyGZHuVf0KLoWV9Encti9OORNvhVH/VE6aoiNf5k91BkFA8Xz7fpW2k8HaW+8H/cm9K8/6aWt1mbqrxJrcwfnK0cLaR027P0ku6+sVBuWyTE1MKqb8hkVdpad2hIyfHzn/3rzNraBvfTu5B55C2YKYDncxxnNXht1T1VhcVqDs6XZdHBSS/f3E/aNLVRFqfsSipmOe6yL7MxmCis9Gewif9Q6WxfjLM7WeflcMKWqLNFeIkalXk9lSAWsyngBcOmLBQGVqQSC2jT2CDGzM85Mrc9i/osJihcRMGxTGMNyVFYhs1njhcFyayVdbV0h9AsvLKzXCihrDMxrGwt4tu2xjo5RxYWdLMatIyA/zsNxfxiOqYytqXOd6RGxOJuo76Luiwkv6rPMAzajdqcEw67ZJnbFc8h+HntN1/KcbGZtEGym/XCcDI0XNXxR2N4fHOOMit/Dfq904JPSLcL1fPbmWloo5mzImA76crhfX9qnnq+ifvs5xqG8dBxleKDZ5AuIDyuNmL8htpbzsJaNS+vzw+rDN1s7H+L0fbOJrhpPJYFKApUEKglUEqgk8PVK4JA4hwPAzK2Es5vJu+GgJup0J0zKe3l20O7O+dys32C7nrcvTW0avW8iv54vZQOFbd7unWCXGA8zMPBUALMKmBFQPMTBygAV2gEOV+7t4ugHWz9jE85h56Zzn6i0/KYi1Vdr2K65QZcVExMITGts5gtzOJuIlGFm2TnHwXl0RpXJMhdHAMFZol632dGy7V3ImOuQ9TNW4WZ9IzzR2k4b9ku7PmMtHsN6aUv6PEm7U1WDVSEeAsQFyjqcKYHWlLActWPUjvFI+y31T6C220y/lb7yxKoXcR70Su1W+vLozWAsh3vzAS5XkecrmzC/oeqY5SFsPwJY3tk3Huk8DnQIS3LpxYKs5XSEEeZMEmjG53SYGu0rM0+e79QYqMrJNoVVkQJgcRbzw7rh6BxMAGadtJCOUbHtTcKVTWTPsiGPKqe8bDCcx2wSMPmi5BgmcdLEG2vJ05b1k1lnRcpaJz+CXcN7+LhMqtC2yLO2NMV+FBabNbZ/eAwAHKPaC+NORt9vzM/PxVwP2vuouM7huGk5A2DVvBlhrFHG0YOB7tf6dKx8oVEcud4nJM7d3eO0c3TuwEcPud/2yWsXQN9PvtlOD1eRzEw/y/6+yHEDdeRvmYexZ20/4De3g8qyzPHKTIzMlt6XP4TkC6teDxViMPNS5+sc2IfQ349LExW4/LjMVNXPSgKVBCoJVBKoJPBNKIEuwGzCZni+xoZfR6Tu8UBtlzUyM6hC7RMbS9mgSGf7QU8yMNCWrA46mxCipNcrQjjwtGSHoghfxrO8RliQB/u9dAK4HLPZf3iAkxa8hy4t0gIOVQJgugOd2et6qirhGDSgN1Ht+eo9VBdRW4xE3QKUaOdsJ35eQY5DWGQlXx2mKbb6ZNEOMDuCgZ3irmAWGHtWi6Vy3bAsJYNIQ3XqWSIeZI9x7GC7J1ALNV/uRyoOMlaCyRMA9Qnqwp67yfexTmkaAO7lFjaogJsdZKGDmLnuUrrZ2EptwE5RTa7zCd/aHn668cn0q/ffSaP9+bQCS/eJK4Aa0pkqLCM6HtTSO3sAfGJQXt9SJbWYz6JOGbhx725xZavn8hOFvR9gqYMnQ4MYr9KXAjHqQILUTZ0xtkJeIWOewVGz0urp3fQ2LC5eZCdXUEs1Lmnumi8UzFuC8dl+rk5XgkEMz6q0Zp6o17Yof32zEwzluzCY83g71nvx5WT+FmyaYLOG6vYGH0Hp7uEw4oAe9ybpCFXWen0hdbAvTZ1hWm91on/DJusfxlJASS9pU9aRBWA/CnH6UuEd2n8EcA37UXKsE8Ll829cB1jiQZl8Q36fP3p3MfXWzllLuVjfBWhVPJt0DwQRCM9dCGj2YXFu1NEGL2jeenDEWh0Qo7QTgH8267deHaWfffT+nTrN1vWs8/4AlWbiWq6uoJHggKr0gUigApcfiBirSioJVBKoJFBJoJJAJYH3I4ETwhCcsoGWUVysLaLqKRhhh8p1G8CpN05T3v6zAQQhGaYjHPBENnf4nMzsDVUTVLXzEBavTP3BKMCFaokl0JxHDfbqOl5KYTB75BVM7XZzrEydwUxxmiKQFAzMAgfPVZucB8hqx/nwABA4RAVRjERe809xKFObo6yMHf3T0ZCAxnLciVQCE5+YbCaa4igYGWILd4pTovD+6T364tguQjEAAE5hDHcR4+b8zsPjAJgCRuVajlc1UAGD4FNVRAFpC8dATTfW5C3z0VTYpupgZgQo2z0YMB0wvqhsvlc6gAkboQq70J5Lr29lYGmZctS9YS3dw3NsC9ndvvI4sIy8o8NLzZRSoV/vg7G0sp7sLGB6AebyHAzmZkLuThopZoIvL5W7n7lpPRxOvTV9J22crqeNuY1c8Gy2zkqe36eO4ZC1hEqudVh7AExostwSLDwqzGPk+w7z9eo17S+fvC23XBvQP9HjK7Ehb2w10lXqP4aplq3uBUgac4631wYOkxbnAKtzabG5kMbEfh0Te7WAz/aCP+JYYpP89gMcCXV7vGTIqswL6A5/6vYWLCIxVKn//300n36N8CwD1JrLdBvQepVQItf43Gyd/758fm/USO+O6hzrhNx58lhWClvLY15wXNtcDJBd1v1hHkd4lD44IOYockK0VfoAJfDkmf8AG6iqqiRQSaCSQCWBSgKVBCoJPE0CMpS/NYEtAYitotZ3MoE9BOQJs1aa2K3NZfVH9rqRjGXpBlkvrqZppo8AUYA7EIH52IsDXubSKqp2Dw5yPoHcLizjMSBsgxiG86iSmswnm7VTHwT4HANAHuydhF1c5KGysGmLDuRe+K2daA2GTcdAuA9NYwLIJ8ZgCjVZQTHXc0SZr7ERH+KMpdNup21YQEzc7Hjknf0KZqukxXhguwILQaHhRxZgWhswnZZ0vCY93wY4BiwEWBU6UIegMcgq8zJ2wfI89wSWlhVICqBMyovv4uN5ZnY3V+fDg6lj1LlMKd+c4/HvI4DOOw+Ow65wgifT3S7OhZZ4EVC0g+ZtuneA3GE4b6MKKdB7XAqAOmwqVf2dDA8uNDLXWKDsi29dHZ9ATIZUtdgYeAw6y0C5lcJwXamGKvhVMCEr5GZ252J/epAmUOyLtU7qwHKPued9U4ylFCry9P5QW11eoBhaRPmFwWORxzm4igrq28jsq3eOOF9AzbUVTpzKgRdVR13hoRgHTyZXb2NpDtXZHNbk+GTEC4YR9pPaaKI+iwptQ4+5sOstgP4SqtLjOt5oST3sOHd3+Rz1kItsfe7/J29uAnhX0ld2m+ktxv/lCUC8AF4t1t9n8PT6OxcGafEpaqtXGyO85o7Tu6hTv3tA2dzVaLP8+nzh0bi8/iiOobbcPUU+kL2ow8b8fxQd+SZt88V/od+kgqiGVUmgkkAlgUoClQQqCXw0EthhE/tLk6X0u9unqUPMP2M7nsI8GmYh9O/oVo0NcITsKHfbRVdVoRSoaSsYWrXFxl1QsLW2BLjMMSjXUetcxMumaqN3cX6jiqEspqqhoyEsJKqHqiZ2ezBvsEkPYO2ubRK+gU32lPAOefudIZhNC/wOYDwPjgkLYtgH7g0XDtO4fZzmxgC7EQ5VBu00JUh8jc896m21JsR3RN0WBtIkmxSAMq4YKmCjBGIOs9z0e/RaJc0zddiiQ48Yj06JFum7TonuPuqjEnya1nFcJKAU8eR2ikZmDtaZ09lJeSOw1hLgXGD7kLAtAkxld4K8npbuhQ1hI71+fTntHw/SO/ePUP0kduWqLwtSurOrfW0zvXEDYCbIe0aaaxJYEalPhpnFzI58YAzPwNszCl96NKLv2ltqa9tkniNZDx8BYQkuZalHeApW3qoO+2wlLaXWHHPJywF4Y3qEo59pj5cFQ9Re14NRPMGbsEkpuk5NO+O9tIMLJlO0wcR6vN26FWuqjGOpevatK6hnY/f4W3cOAYs6N0I+zOd7JcGmffc9w+pyg/G10xVEpIrr3qHqrrD1MMn8nNLOLo5zYOplrPVGK7Dc6+JhtmjkWwCWn761SV219DpxSP+fPYB8MUUC2f90rQubzS0G4UjyMMvS52vV6tr8dtdYJ3uuv0tpnRiXz1hCl3J/8JcnhBzp9bBjhbnc3K7UYT94CZ8tm29E1VWdlQQqCVQSqCRQSaCSQCWB55MAW3VCbQieUJlM7dTnTwZzqh1iASj00JlZxAxWzmuObX1cCgzGAgTA5mqnHdiUvS6M5QiHPYswkothJ6nKp/aSYXNI/ZYz7IdAUSClCqVs3RaATTvOkaqDBXDw0IUpPMDmLdgnwjUMAKiPeoSMaON0ZoG8i6ipOgaAZuoBMIftNEFtsA9QldJRk7cHgJmfx8OnbKJApwAL5bjsd5ny6fmN6AOAyXAqOoUxnIrAaW25GcxrFybrjBkU1RQpajivhrsXLopcuYDfq7C8Akwdr2iXenicVShtX5mVac8QGrSpqqsOhq61FgOovPugi4xR7yXrEYzWJ24uP9G+sKxn9jgHc+3Lg1Mc+9SIHYqAZh8/97lz6ecK8zRbh7W5tvzIRMsyzo5JGBVsIUPWMU8454Hp1onPBIdDD+d2eK8xTRvD1XCoY45SIrwOoHbXaQaVzrfnI2yB9djkGjUmptmWAJjLeGbd4UXIA2JefgWQub6MjSesZoBhyzp2jh6iv3kCopWQCtfeV8NZx1bXNlf4YAMJ0Ly/242XIL446cJaGnpk7zgDS9edbOXnP3E15steyuj96Y2j9H8dLuI4apJ+b4cQMgzA+svk6cz0l7ejP5sLk/RZBvmFfh77Ei+Jfs/iIN2A1TQV8D4Y4hNsOn99D5Z0B/tlwOgpTKnhgN4rOU9oCce6KvNG7/g66yUnZVtDwGQPlQHV5RvEM93Y9Ld+lrOsojp+ABJ4jun7AFqpqqgkUEmgkkAlgUoClQQqCTxDAvJEb03m07c0tWfbSA+nu2GDGTvYmU1tQ0+uhcdWPa1OUaO9nFRXPcVObgwgVD20D7DYh6m5vb0SAFKvsDJGAShVERVQAi4OAE6CIDfRI8qoSunmfqMIXyKbquKte33PPdnAGYhOV+xXb7CQuofjNFrdg3Vl5wsIqakWuwzYJWxIfYxKK585QGgNm7QegLf/0DawewS0yFrSjUi2Yf/si2ySaQpD630b1sZST5/2XQCsUxjvL8KMtlrY4cFOjVFJPQcnPo0s5ZdXM+npG+115KVc9rFHVWXUZPv392A0cTikjHWWIyu7tQpgKtIVzpv0/c6jHjaPAM+ri89lt1mW95jDjgCaWquzt5/73DEb61Q5rRAA9cIoY13lOwJLk1eWERapXhzwiCEXZzDRzAkZzBfTwtw/ajxKLVDR+nQt1Vl3uTwZLHXWYNSU9k/305XGNv0pt+A5t3O91j5Ji1uotI466c6OHnZR2eZlSG67aNRqSWU/81X+DrDHg7Mm6Yl1XNvQi2yegz4elA8MOcI82rfttcX0aewsSzXrsj5IzvSDq8flZazDs4uzk5leFAMt2/4c6q/LgEqlcfuSbabq2g1+dzLh3cVVtBbm09Sf/QskteIP8ZwbqehG/mWeV+JvJx4hOp+pAt9Zwosugzufl/P81dkHI4FyZX8wtVW1VBKoJFBJoJJAJYFKApUE3ocE3GJjoRgl3RReqW1yjrorzEvj0k7QeINuFmUhTomFaCo3tZ632Lgeomp7gjMSmbc+bJCs2kG3D7OXGTU9vbqhN9kebnM8o0w/VBK7oKkIAQFjJ0BaNrwH+cPWUhZH4EGjbZksdrqyjis4UhkcLqRJ7yRNFgmjoRMfAGZpKzedjijHhvhEQzbDcGQ7vD4MZhdwZlKF02TfvH8CI9om5ERpI6ka7xEg+AjWckKeKzgkElDmBAiDjVlGpVJvr13yrMNomoqhehbXF79mpXfxSXllfFDbU1Ym+2EojUN89ghglJUOfwTkwZgGMCOuKPLXoc27OK15uD/A7rQV4y7rfZ7j+wWW1j1lHnV64zzpBfcsMY74Yzilp9R4FvfzmjiYHKY3x2+l3cFhPApXPIWtbKehqiz18w7BsCRj7Bt3p4YEqaUt/kxZUhdlu9FYz+vNWCKRzp+fEr5EtdN1VKvHqHQ/wpHSamc+vwi5sMJz/4oKZg6iKCo4rzJY5/t7x6EKfnjcJ5alnmHzGrtKG59742qo084UOauvnOuzG4+dnK+lJ5V/jZccT0qypaudBi9zBqnGC4oOLHdX3d4XSPxnIVby6qq/jcxgRm8UgfUUXSsOgGfmid9GsXxfoKUq64tK4MVm8kVrr/JXEqgkUEmgkkAlgUoClQSeUwJuBC9uaAFnBSoqN4llVQKDRr0EVeXdfFStr8mO8wgPoYZWEJhZzb09VDSxp8wpb4etN3tRJegH5QzhYbiHzbV2sDk+0/5S75p1AIH98886TTJ67ubtp2aEK4DWen8RA0xsNX1IcwJSgpfEH/5viZ7Ic9IcIFWi7+paHQapGR5Wi2qjv9rGCcreundE3/vxeft+F3VenLDwt7WCAxgAamyYi929B1lZGcs9Nu8lkIgG46vIeHYjX8/Wcfbo7IR4jQDlDVQ1bS+nPGbrl8VUZo8AtF98c5eYoahcMnZlorwE0ZsrLfINsSs8SDr++bDSmH7oTTXsT2G0A3Uw5Bg1X768GBfOoco++ax32k9fGPxaejTZJRwHYVv4nKDeO5hibclLAq+HMOjGl2wSpqSh+jNzMp4bpf25/ZiTWCuul+IjqIrYrGVDHqMjvFTovVviIRYMKtztvQDtDwmVoyp4kW225FPOXRk5Kf87O8c4DOpiY3mcHh0dna2H5YV2+s7f8Qrqt4Zmef7an9Jo3HacZbJt+xFHzi8nX4oICldwMnQDFfLnSToT0lutSbC4vMwLA1RcDSNSV3vAD9dNP638aXH047OZ7j1Pc1We9ymBCly+T8FVxSoJVBKoJFBJoJJAJYEPVgIH2FwenILQLu1F4/LSPVsWFAj0/Mu7ebY17DpVI+3gPKcPIORGqGuaX5szAY5qtabY9HN0G1wCIe3f+oBSY0fqXEWG0mcygbKI2l9G4rldGqoeWyTPlhbqqdNop2Z/CWc0xeaaPOKaGrtpHcKUJVQNrFOfKokyqdsAsACLRX1Guwy7MIan055jmEhVaDdBpNo2rgH2yhTb+mJvr5rqAmymoVUCyBX3y7wZ0XgzPyg33ZezTbEPnE6wSz3ZwRvuHiDkFKdIgijHqSOaJZwILXBuzEosEpGVQEiHSdoOlsBCBlXWUnVkx/kWAFkHOx9GEvSeMt8LdYBV/y7xM++k0+E+4+oH6z0aQb0WQMj+KIOd0730M71fAEjCQMeMMWehaq2tZf50x/10jGxMunPS0dIcXoNrDGswHaS7tbvpOBFDlb+cpulW42acliAs1oFtczJHrEqT92p12N7mIg6pWswf8SpjHcfj+CrXT1nP+ZPzsyHjfguHSm/dO8Rr7zEOljLDX2etrSwuwBwa4/U8VMx5yec7K/swm9txXEgzN1wL5Usc7ZxlwTsL87CXqHZj/9mcyXuhjuJCm8/99HbaG+/GHddshP55Uubq3kcqgZKT/0g7UTVeSaCSQCWBSgKVBCoJVBIYotI3CLU+dqluVAP1FOeleGYQUJyW1+QNkFnka7cMNVDDW+k0HMgc9mGcAFsHAEwdzri5VV1TOGEVATD5FiRpm6UqpR5lZb4OsTXMwesH2MDBhMJgzuGYx3LeXyC/5f3X4Nlqh/tHHUDMIA3ncNVJUl2yxm54fW49HUVJsruh5p+OiiIPh7XOAl4+ATW0K4spW6g9puqONYCB4NL+BSKJUudfIQq+FJsg9QjmUvVZ1WRVXZ1NIdrZG5fP0fc8Jd7kFIbOVFP/c3TEdQZU1reJrecSIEUgM4pYmyOAZT9UZt9FZdYxbBkHFPZNu9RbV3HQw727O930tbuHXHcYbztP8+X2P6Drbj/3d572y6T6KSgzLhuNDnaxCyHO0XiY7o0fpF8d/LrTEq8BwksxY9fOskyumHC+xJyEt+JCmKE2C8gURNWYp/20hw1mM11NeqnJFTjnZ/aWnHvX4nOtdeTLAoAVnWttRP2r2CwaN/Tuo256/Ua2F57pRhR0VLGOys5xHBDz5Q5llLPAUgc+5tHx0wpOhFZYYxTGQ61q4ngVJr7muXRmKuK0rNt2Ywh8+dtxbp3LMD3m6EuFUwE4L1HyfZ7HvXxdnptPdXY1cwejzHivHu+lG0t7qb+c1Y/tgTLujm7gAAknWRNV2QmBUr+butgyd8dXgqE0X5VePglU4PLlm5OqR5UEKglUEqgkUEngt6UEcDES/jWfOvhiB+xBVVP2qbEpl4m6vDlW5bRDXD5NGdstYwf2Awh2j0/SVjjocWOvw5NiKySoJYWqHsDMmJirk1Z4YRVA9rHZVP1zrzuCrdMzK2EMoKn0QpkW+Lj7JgkUZA1XwWKTw7V0WsdJUAuAw/M3aq/j4wfnN6hWRl7A4hwAN4OVuJVWlhZSq36Q+rBtqpw2AQQdHdEUAMZeFk3lAk/5bsMwdmAXj2G+7PcyYUXKVFRVXj7xOBkRRgMZ27fzxKCKvnvPPsm6tlFDNMSFoVyWsRH80jsHhPJApReAeQC4NRan4MhwL6ab28uo+x5FbMfXrmuX+Y0DmMd4R9UGdL6zGnMbTOxwL4CjYFBZOAcupjlCjtxoXk/rjbW4zkN3QrPE/dZrcAm4lI0qpcM0ICbkb8XEmEe5CD7hndMV7C8FpvLVD2qPYOiahOlYodx85IsOWIaP4VdC2nq8IelFWAdJX0aeMuc6btIxUe4NGXJjUcbfgjfs21dRo36ICrhqsIbVMbVbhqpZwpFOZpz1/Ov8/MbXVL/FSzNttfhYjS9kBIHWGWP1WNTt8/O2ynNbyHmigjiPW96MlA/nF575kkd7YR0ure9PYPyP0oTfymkTj8v107RUv0c4H4DlCS8wlmHPayfYo3bTMgzm05Jz8mb3e572uLr/IUigApcfgpCrJioJVBKoJFBJoJJAJYHnlECEnIAtU4/UHSi77TGMUqMBOCquy5oEBugQ5v157MrJ4D8+skflxngRcLEIO3NAPV1AT4/N7NI8NpGAN6MXurm2YN40E1gdUCbj1yPvems+Qljc3ZGdmwSLudSuB+spsJLZtAP2JboDMJBxXFkE2J000/zwRtqgbTfvATJ4eO79VRZHP7n5nqBEldY1bCn7sE46zZFBVe00OhcDjq6WInjq0b4Y27Pb68ZY3MSHQ5OnlsgP9GqLHix9Rf5WcinR07gTY+UsstAvZW33FgAMb1xfSW/CTJ4gZ0OlbAHGBRJlagEyX4XFrNe62APmkBjaxpbDK/N9vUfB+TFOkWSby5cINZjlqaFRxjhcIsWcFxMf8jcUDmvDzqhOOyFkSACtojPtecKZFKkcO9Z/6dsn6+m3hl9Jx6dZFdY5na+10hvN16PtvcQLA1Rxx6gad0+7aYxsWBWxjpoN7GZZS0pzSrtRb9HGCi8FfLnwFnaTeuddxbGUatHKU6ApQGYFhuwGgEKB6MO9o2AsS0dFCwDL9aUOc9PCeU/rzKPvIS8eZCBVnz6hbJejY5WVFjQ7HxkoC6JpKa4BwfEsP3dWVR13zbuuzRMOrBiOZR2W1zp6Ml6q3m9VqVZroLTf1dPwO9gWD/du+iuk/Tq2zznskGtIVd7PzX8y6vvC6F+n3dPdyFeI6Oyg5EYD1Aaq9JFKoAKXH6n4q8YrCVQSqCRQSaCSQCWBWQm8PSRGIsxhDQBgUsVO4Jc/HvJmWmDnx93sBM+wghs9SLIXJfQI6rVjw4tk1c0FHHoItFSJHcDk9LCp7AggTBSaUo8b4ZxQW+Q8WD/yyfgJ+FQBfcjmXsZHL56qzFpEYmgOx0KlU5TwIktFNZDk+lKTvNp5wp7RB/O3AKtunGX2YmMveIEhDBXdog+ri/Oh0uiou/0Tni9E/+yh9543CUA6yFIbUuM8LpYs7VMqEGPV6jgb4jMVfF0O8wLwrzWyMyIR0LnMLp7LYN7c7mDv18X7LSFdsBlU5it4ky2TQOQmNptzqG+++xCnNczzBnNUAu8y39dzPGS+h6heytq9cEIYAZKaqEbr8Mf1FWw5oNtUzFU5IQKgT7a/hQdTQuq8DTt9mK7VrpGNdQpY2sb78RQ1V50BHY6PYDuJvUm9HeZ2gPq0oDXk6QQ70UXSZla11m3Wn06ausjxazCTOp5agYE3vEqblyeusTdxlnT30UE66BMiBqBoFxfm59OtrbWQ7bXNTrwaKJ1RffaVtQDXviBxXatKa3ib164twb4TMofyzscZ0Cw7NXM8XwN5fc88unCq1+bQAAiwv8hvKv92HarPlvidDfkxDVGvHjFnA46K4trGAmPQaVUhFA98BJKPp1p65/538lbl8SfVnQ9PAhW4/PBkXbVUSaCSQCWBSgKVBCoJvIcEjgGEAkXDjbg7NmC9u0zBh0nQZgog5IaTy7nGCnEWB6GyKvhsEvNRdkQPodonWmIL4PI2qpgCumNi/W3hXCY2rFShgx89z4pVjSVp6gCQ9NYqc9JqtiLQ/RBwtHs4CJs2w4GYwhMsXazrtTLunH+pLiog0NYTeBh/AmK9uerIRFtFaJ/oX8kyOaAF7ANVMz0BEB4BkAQ1mTnK3lfdWj9vWqPPAjsd6ESIkCcUVZaX0xy2iCrFJti2Mu3DND4g/uhsUobBEM/cdFrWAT6yYF+72w3go8fST99eg4FGyEVqAIKuA3hqtV4AJplG4y6W4KfM936PXeaoDTCZZU2np8Nw5mOdU2RfZ5zPTplJM0+d8eSxAhIBQHkaLgmP9fPK3Cupz18b1Vfnc8r6qsFOup7n8Sy7FbFccdKEqnZjgv2vb0WKeVF2s+kYW2GZPJ0nKZcR9oraVO4c9NN97FvvT/vpk7dXYSz30zuP9uNlhH0UEHbwCPvJ6xvpBmrIOmJ60lwJHlt+mBfPZdgFczLQl1NeJ+V4z8HkGfC7XGDm2vpvbC+l33r3kJizg7S9jpfameeOTdtPSXpewcTvWxazfGlTZlU8j//S8tPJ/ifSKSx5lT5aCVTg8qOVf9V6JYFKApUEKglUEqgkMCMBt65yQ25k3UjG5pITGY1DWJwWKnsQiXwABoX6HhgMb5h4MlXtLxzgkCHvhKNm65ExbLCBFVz22ZybYqPKJvyr46/BdvaxeWMTX7+RVmsZBOncR2+dMm5uoDcApKrKygQe83HzazPhwCVqvPjlWAyBMBzmfGAZGhU4YqdI3Sf0ozeYixAm9sX6/KdKsGq1Jwc+H6W9w+NgqHQkFOFQIhP5SkTi6dm9uCi+AA2MSaCgmu86spGFpQtnaUZMZ/fyCeEdmh34NWYDr6jHtWF6t7aXTvCg+jzJedNecBjOZXoBkn/j7YP0ra+thSxrBzhvoR/O4U1Ah30y7IohZDZQC57t4/O0dzmPTJz2nmuwx8GSFRmmOOfxU6aaatjPmVwDJZCSLbT/so4uAqdtds2huMqNzLLL3mamnfis1mFWPgu1NuFNKB+DPa+bR5GMeXqIzegya6F0yKRjJMdjeBfXzyNUTX/5Sw/SzmGXtUJdJGW/sdwBzG+FbOPm5a+iH7O3tbUUyMq+51T2tLjiMtbLTNlSHrP1PO1cT8HreERWDXYdJvZre810nxAuncZpWmvgeKs1TYucLzSzirWSCrlS4T/9MvlR7U7t74rqi3dMWZDxm+FUvF9hy6eJ/0O7X4HLD03UVUOVBCoJVBKoJFBJoJLA80pgdoMrE7OHup4sYo+NrRtct70yjSWzIeuimqBgKnac5DueHqfFGswUBWT/8rZeG06d5eg9M2+iUfxDFRYGkXsneKVcZeeqaqxeVg3X0EeVb4GNMbeweWuh0grksj5urGIr2IZxySlvhW1LOzaTTlkG1K8X2XYbNk8Glno26OsdQnZY9zwb+oIwPdtMr6CW+AiW1Oxvwbje3lpOq2ikTqm7CYjOKbdXXDzhIAOcbUgFxXt4vb0CM3jWyFmJsp4sD287VlMdJzNCsa/W7sX1k74uA4ySyfERSxoAAEAASURBVLSKbeIZaju6gyqxnlu/ii3mK0s4kGEcplqvn6aExrixtRTzehcPpi2YZ8HT15Mcr95IlxYKNd7Zyh4f7uzT5zynEv7Nw2qHsAJ1PaFoKcjikTKx+XwsV2S+vlxaNVI/22tPRkz+Rvxd7BydA0vD29xEDfYTN9fjZcjlOvP1ebuzzwXk5/aW+Xc2+9zzi3NdLJLLmZ5xrTj6k1r6lw+RG2F7Xl1CbZrrfTQWHqDOjll0vF2acE8AeQ/19l1/H/hYmk3l7yUEWT7gZ6hsq/TRSqD8r+FH24uq9UoClQQqCVQSqCRQSaCSwIwEzretgERYQgGKTFgb1qYMhSCIM6yBaqcdmKSSoerDru1PDtJ+bR+7tysR/kMbNBkk03zpYIfz42kPpz5ZxdXN7O5oJ23Nb4WzFZlLvcLuocbneTiogT0VyNquSRB0jh/Oex0P+RJcuuXNUCrfdYOuiqp2nbKgHRwElZjYHNpfdhZRn50/wcYOmztY2zu7x7Gx1x7zDLydN5wrfsq3Do1kLLuwYGsdwGw0Npv58X6Xm3SfCDA3TzeJ/7gzW+ip546v7KNqwQJHbWEPuifh9bSNjey1TmZQa9icIkwHna4CRLW7+xpxMF+/voRc3j/A7MP4OuZZL7l2uIbDnnprNfc9qOSnDuN9PVBuF6R56UYpVysfactZwEyvLyftZF1r4dDp8kOuHxFLdOdAtePsfbiJDD9160p6DYdKzvlFIJgreNK9smp/H6rPClBzmu1tmas8Av4uDLS8/+yjL4OOx7V0Zek0vdYxnuzj+W0VEpXfeS39wvF82hk8rqL7eKnqzssigXL1vCz9qfpRSaCSQCWBSgKVBCoJVBJAAu46YTIAcYYF0Q5MW8UGwEhwqPdTgYMqq7KAgj8BjZ8T7N32UOGcAlTuj+4DNPfw6goQLfbKOnhpaANHElwOCa+BsmRcb+F4xYxunCPsA/Xp6fIuLON9WDU3+9fweJltB1WxFSBcTLFfzt0v7AcFW26Q84Zc3sj61+m797o4vJHZtE/NQvVV5nRJtrSo+hgm7s5ul7zYDBbjKAHcxdYfvxLgaYMq69lFVfT9pOtzV9On65/CA+qTWbTLdZYgxv6rAvwaYFGGV+cxd47HaacPoGQcUwBNjViMJmWq0xm92uoMqFRfjofv9aVAQ1qumdNQA3bMpTppWbxGKA5DfsTnPe0ty1KXj+WsFPfL+YhLWHJCnZyn4uH5jbMzvdHmLlOf/Z/9kMt1pw2kqsKXkza7d3nhsHfcizVv0VeurqXPvLIRoLyU/+VyT7t+hA2nLKkvPeZo81lry7pt7/0ky602T9Ot9pOBpXVatUoF7TnUdN9PI1WZj1QCj6/Wj7Q7VeOVBCoJVBKoJFBJoJLAb3cJ6LzG5AbXOH3a7QkUShXYc/kY6gDbQD5uWrV804nMGu4il2pLoBVYTu7dHz1Mh4Ojs2KCU0M/jBoTVO4AodHcNK3O4VVzbitAz1hGjSR4tR+ySJvYXF7f6ISzH+0vbfQAVVPZtjJFH3Tgwg0/4gL7Fs57ykw+4KkqvB1UA/vYZKoXa5/iQwHLbaMHuwaALpOeQlWR7eLkRXXZF0nLhLCIkBAwoWXswyeWp2/293LC3UuE1rhW27786KnXswDHGJefvLUarKkA882DUXoEqA6grIqsH5JOXW5jg6m94X3A0wW5PbUlHkRFCsU1Q2iNoWE19LY7CrCpOnJkeVYd7/vZ+WTIfp+OjtOo9058xieoE58/vtDCAh5i9RLrsZSVovdjX1WZzo54LhSLNa6t5X4X78UFG7+xvJg+dXszgPnF3O99pWaADpcE4qp/P0tQZT/fu9Yn54jfMIPLjrDyy6An58x3lWeVPl4SqF4IfLzm67HeTvq9NNh79Nj96kYlgUoClQQqCVQS+LhKYAfHJHPhdEVbSZg9HNrszJ2kk9j4PnlUE5zgBHgQHJFFxzNwlZzD/Jy2cIpzmPqwPMYF7B1N0w4OagZwnMYctMAKYLSJc5cd/mq0aXIj7Qb/mE38FraKI4DZTuHPRkB5gr2gwDcRtmMZddWcDOtwzmYKTI/xWnrSA+gOdfKCnagNkgy2MGRj3z06Sb91Ug8Pq/GADbUebAUl7blRqg2xzQTcus/uQ/Kd8HVjvRMhKAKIU12G41H6qV+nowHebkdpOqK/2S3n43lz1x6/X9wpwcxTMzz2wAqzl1uB0q0rnRzTkPF89QCFZIZ5BRXZBg5+puvZsM4XCa9cXUrvEANz56AHU5wd/jxWdXEjh/sogTmxR2uTdO0qqsvM0W4XcDmGcaYPxouUPdWD8GXHRk+r+8n3LyKeehMW3BcD3J6yDieDJja3MMQMvVZfoAofhBTinnW6tgxRYt+zfXEWvOVlmI2DqWy2sPu9DOj0/ivTaJga15eg8NUrq+fhdZ7c6SfeleW9twMYRvX6xvZi2Bk/KePlPjwpz3vdE+iXtrBvofqsyrgvWFRnL18SqS2gWq4sdqi5I7eQ63usy/dqu3r+4UmgApcfnqw/+Jb4H8/uv/2Xae9L//qDr7uqsZJAJYFKApUEKgl8RBLYn4sgGO7HI8lEhaMRGMonp7x5f+xZQcFl5jHHlXR3/w7gws2sLOOwsLds47nztPAiOlc7t/HSVlMPs7HRnaX02NSrsuszmVPVFwMzRldm+sPtbJ9Z5LGTMQy+qMMx6kjFpPqqyf6WyRy2oQzOUy39Ou0pkwub/qj3PNflM8lBwYRj13MuhS9n+cCvbaIcjn013qjssuBC+b3bZV4Y7g2c/NQFS4TPMOk4abQxQR25H3av2ts+Kcn0aqM6RwzPX//N30g/87M/l7pdgAuOdr7ve783vfGJT6QejoT2AWMPD05C1sptGQC76KcIVXJBjk9qqLgnIJyLMDnccP4Qqtf/7Bd+Id27fz/90B/9/uhLgEuy1JuFfWeUz+vCtuxvHZvQr771dvrpn/mZtLe7S5+b6bu+67vS7/zc53gtoooqKuA4N5pNroz7uz08rqLGWrKWK4vp9tXVmNfZvO917jp7CAOqTfE6cVuvwcq7Ni6n55XN5XLltazxzmGfOJqooIuYSdoa48op1jaPQ5a27ceYof4W9C77yuIkfaW2Qt7neX0SVVdfH7EELq7Yj7gzVfMvKAH+ozDsHrxgoSp7JYFKApUEKglUEni5JZADKnzj+ngeufG8jeOU7f7O77zcZ08aw8vd49w7gfg2QFHAHQATZPEu7OIA0PsK503Bzfx8gOZNQpLoyOnNO0cBpNeWSna4HKlgBICNner/9D//L+mnfuqn0traGl55F2CLu+mf/JN/nL792393+st/6S+llWurAMtROsJW0ZioB9h93oGxE2guoXq8imOmlc582Bw+DXNnUFhPD3d201e+8pX0u37X7yI0Tvb0+3M///PpF3/xF9MP/sD30jnG8DhGKzsdqs8Cy//jH/6j9Df/1t9MqyuraWl5OfV7vfQT//Qn0q1bt9Nf+As/nDqd5cecLxnGI8DlSWYt7dOnb20+BkLPGnvGieO/Q/gX1cTfwAnQZWD59YJKm/bFyFv3DwmZchL1v3oNr8fMY+l8S1zpSwZtl/swmx5Vae4S39WxLsL6/9Er4/Tjx1uJqCVV+hhIoAKXH4NJelIXr37n9yc/VaokUEmgkkAlgUoC32wS+CMrx4RRn8DWoRLK4O7tjUKFTmcvJu3xjnonYZO3e9QPxzuhSleweW7cW5yPcTl5Z/cw2DrVIF+/vhY2k1EJX3n/X0u/Of5y6tdPQi32jcarqMiuBPh5F/vGBuVubOV2y3JuiEs6bvfwJEKKLKDed2O7g0ot9pDxGFVQ86H2OEDl8P7egBARSwCZ7EjIOnyu7ZlJVkfbt63VFo58MmApw50AnwJsUU360ru7oSoq+2da7bTxELoRaq5hzwbYMuWxxemFL9US38W+TnXEV64uR71PA1OXmc3LdcoYPk8SpMyysV7rFEng8WBPu8HT9LBHeBjUkW80CB9CqBXzCHauoP47AGy8+xCVZsYm41iCHtVJZS6/8IVfTj/2Yz+W/uyf+TPph37oh4hNikdc4ib+0i/+Qnrw4EGahw09HeW1JLBZA7SaQuUZ+1XB5kNCpRzgTVenUXrTbcMaCnQNi+IaUEaqWJu++Gu/lv7cn/tz6Wd++qfT9SvbZ/d9VoP1rtVxGIWa9fSUNi+N3TyO4879B+l/+Gt/Lf3QH//j6b/4838+LSwIuCfpV371V9O/+sIX0jKA0/Z0YGWKejjqOXhaIxwNzJ6s6aduX0k3r8zG6ci9lPH2+azcrcdrHSXdedhFRXqAV+JWeg3AVzqvMo+DvTzXcf8FvpxbgeJX7x4Ruod4ozjdunVlOWK8zlZjOwLNVkOAP2NfDNBUXdfwOW/eOUz/wfok/du0kR4h3342kp6tpjp/iSRQgcuXaDJepCuL126/SPYqbyWBSgKVBCoJVBL42Ejg5tphagIuh6NhbHJr8yivok13lU3wIaDy4f2DdO9wmnoTwkpgk2bSyjEsHcVqOTKDt9PC8kaABQPKf8vNDeoZnwE6n7uNbk6baYCN5qAxTN/a+qy3w5FMb3oA2JuPEChx8wlfV6+hsvv2IcBwmDo4VdlYaQZDlrEfAJCNuv5+TpsnaW29na6ieigwLcGlm30/m1un6Stsot1sr2zMYz93rgboc9U8BXObm5vpN97eTff3e+GwxuHuDhppe2uVwPR4WhUFPTExUh7pTKe5gC0jwGJ5bYVNP85knpifm0+o66l5n1ZHcb8ER47d5PUNXhYILO7hhbcP6N3HvnUEyL7JOEuWUhB1Ewc/b98/is8G6psbMJ86CLIv1vMv/sW/SCcweT/wA38YdUtMhva6lFlO3/Pvf3c8n2ADK1AvVVrnYCuVWwc11CXA+dYa9o1MEjmYF+KSstgOeGnRR512BfmsrXTCY2sTdWoB7WCQDW+7XZxEXb8e90q5DIjVOL8I4MR0aRpq1g3sL2fWnDLlhcMXv/jF9M4776Qf/MH/CKK2lcaCXx79u5//fPrWf+dz6V3WuGMViKp2K4ge0McWsVK3N5c4NtOIECSfee0KANTfgD1gLVGJ60VIaqzVUwBreKX1mrl/yLp5sI8TKmKACvC31xeCreVxTpQvx1LeetGjTph0xvRQtpLKbmJnKwtder0t17z1On9lmj1f4nf9yrWVtGB/eQGxu9NNv4N56i+vpZ/uX3zZU5avji+HBCpw+XLMQ9WLSgKVBCoJVBKoJFBJYEYCsnAtAJVbz1aTTSUsyDEs0698+R5sBtZaGaNgwwfQYNOvTaIMmJ+If8lGWvZExvINGMtbsIY+a7BRF4SWjKEwb0sPsRxH09EZCMldqQWAy+eZ9ZndAIsG3DBvwjb22Og/ArCt4UXWKCeChYK7DHtM2TCZskgzG/hya6193Y2txfDaeefRSbq1jRfRFmCnBJaACwdt/MJP31qPau6x8VYOD3F6Y75vA3gsATpKVrPst0c3+ebV1nJ1qRWs1Q4gQybvwphmCz3n+RS2djoZEt4DD73PSDHWGTDhkLbWiF2KWqbOe46Y32NYtTfvHgarqndeO20ok+uwx2/Cgr0D6/oIlvEqQF1WUxDl2AWXJwD8EWNcBJg0G8wdwCqADMBSxzl17Bwf7e2l//3v/b30cz/7s6mF+u33f//3pz8B29lGdgK5//qv/Dehjvqf/ed/lrXDywnk+VM/+RPpF3/pF9Nf/K9+OP3Lf/X/pb/zd/4uAHOQ/up/99+n1dXV9D/+9b8eo3ZN/YMf//H0f//ET4RMf+/v+T3pT/2pPwlbvUhYnHEwiVk8dJI+D4dDAOxJ5JWldX4EgrvM5zHAVsa8zmL66Z/7uWBm33rrrWA0P/9t35b+yB/7j9PKlRWcFM2n/+3v/kj6edRyv/d7vif9n//4H/NyY5y+4zu+I/2pP/knWY/LtD1FHXgQjpSOeoP4TXzi5mpagSmcVYX9eteBY5N9/xovAvytGp9TVtTfZ1l3zAcD9VgCYsv53HtlPu/54kHvzNbzNuvjPiBzBRb7j21P0j86XjFLlV5CCdT/4H/5l//KS9ivqkuVBCoJVBKoJFBJoJLAb1MJ/M72ALVCBs/HzaZqpd3+GDu5HmquR7EJ1zvr59+4lr79UzfwlLmW3rixkT55cxMV0a306dvb6TMwlZ+8uZ5ew4umTmS09XM7S4VsWmGTAAJxWdyTr6nXGgFM3XCDS0Mlr03APTe3eTMcRXK5GZCk3V4XVcwe6n9hwwe4EeCWSaCs05p9bAvXAHYC0mJ4MT5ZKVPYoeEt9BD1TOtbbAOI6IsxMGWkLDOGvTIO5AptyPap5uq4PPYAV1trABLKmPJ3nOZ2ij4bE1QVUPvboR7B29MTtcxUNHN6VmTcuwO4xDvv6DAApkDueZJza332ZxW1ScH/CeBSG7yDLmCVcRh30W4rm22AqOeH2OPphMYxay+5tbUZTnF+7ddQnNxcRwZLqHvClBXqtcpH1rIPmPuLP/zD6Zd/+Qvp+77v+9L6+nr6kR/5EWwoH6Xf//t/f4S6+V//xt9ARbWdfu93/r60AfBehtn8N1/8N+lv/+2/BVD803igPQUQ9lHF/UL6E3/iP0mf+cyn02c/+63p5//Zz6df+qVfwpNvP333d3931P33f/RH01tvvZ3+AG25oAawhc5ZE1Xbre3t9M/++T9Pv/wrv5KWl1eQwXxqAnCbhCXRG2wbR0O+OPmNL/1m+m//6l9NV8j/vd/7B9ISYPbHfvTvpbvvvp1+4A//IeauiROjn00/+ZM/Cbu3k/693/f78JR7Nf04IPc3fv3X0/f/oe9PR6iW/ubX9uIFjYD99RvYeDLvs0DuafMVGNCHyN3fgL+LKV++wJAJlaUUUB4xJ6qxvgWw1EHVdVhR7Sudt7IdyzsXF5MrIKcyn40VSzXKuj5lcYf8d2Cfef/MjaV0tXGavoRX3iq9fBKomMuXb06qHlUSqCRQSaCSQCWBSgJnEoAdhPnoD0dp9+goNrQLbLy/4zM3YQxRj2ODGyCF3ejZxrXYEQsim4AKgeQsOPS6xWZ+BLt4Cpg7S1EBIAAQgp/PCIHgZjqYwP+fvS8Bt+yqylx3nt+9bx5qelVJkaFCBhKigQQQQkAEHKAFWgVbP4XGAbAdACPEBkRoQCW24ofaDgi0ICiIIIOCQRuihCRMGWt4VW+e7jwP/f9rn33febdeVSoJkipq79S995x99rD2Oufl2//51+CNaecI4NxuhpnaYjgTUXBHc1MFkGCcWjDrZeHcGYCgVTCF3IgTEPgBGwXnWPTtG83FcApfxDwCt8DXdDfSQ9jSVlNLyIvxCLrIYAYCeVlBFFTOsbRZkTvvX5RDs+OadsP2QyPfoQF0k8Mx+MO1NE9nBkDDz2D1G+sBhOOiMcbWKF4Vqrvt7YGQ2rVFCcfG4Hdoor5uH+vkM66bshOE0AeUDC/NIMlEzyPYTAsmqpOe+SyXQTZvJBuXFURMzSPYy5GFPMDUbvnFX3y1fPCDH5C3vOkWBPOpgImMy/eAOfzJl71MDl1yiarg3//jP+TIkSNgGt8pFz/uIq277LJD8p73/JGcOH5C9uw1LkcQB76BeHYgk7/g9sjlhy6S1dUl7fuMZ9woQ8NjCqwItKoIyPO6198se3bvwksGAGYEF3oH/Cpf8+pXyyQA8P0n8gBmMHtO4xnBS4A3vvE35U//9I/lt9/2Ninh2Wa02Msuu0xe+F9eLE9+0pP0Gbnooovklje+ESD2EoC3slTxdzA5MSnv+YNbpbC5AXA9rSJugpH9jd+4WQ5ecKHKNg1z3V/+lV+RV73q1RKMIWItdLdnIq2msPa5ZUfKzeebINHeiwasBFjfQT3l5XXqosIcqQB4TTChjKJsrASMhQCfCDK/tBbYNwXwB3Bpnxf7t2d/Oa+VgY+WftAvgJwjpl4fODbrt2ME2VwmipcuJm8p05MEKbv3IkUbu6+zQgMOXJ4Vt8EJ4TTgNOA04DTgNOA0MKgBbk7p40bTVub0K8PUjmUETGQKQW/aAG8RgDjdkBL8cDOsLfBFJIJzXrOBZ7i5tRtcBjvhZp5Bg3jMor21DaNcoh47a22Pun7xjn01OgfNS2muWcfGPA+maGIYm2vMbdslwb6QAS1VW2DpYDpL+VjQwBwakMU+BKr8JcBcQGLNvZPw+QOVy4AvugZ0Y2/mbbxk74iEAFqWNumD2YMvZkWCc0EFmEmYdCo8wliqSzMRZ4U5bBzMaBPgsgWmDywpwOrpiietNrFr4kmnubm9G2Qg4AydIbhkZ9UTBuWLgGkASTJVBJZkMWkKWQOg2Y1gSVbGOAAog8OMgAVcRyqNpZWiXHnNk+T6G54Cf9x5ZQuPHD0qH/nIR+TVr3mN/Ol73yt7Z2fVN5MvFgjA6AfJea+64ko1cWWQnj179+r94PrIpuoJBfSKfQzYjyUF9jyHlCkaWAhVBw8elJHxaTm+WAC4jcgllx5SE9UCcniOw1f2AjCGBM3KYMI8dfbCi+W33vYuWV5ckCV8jh8/Kp/5zGfkN25+nYLS66+7Tp9NAuDjJxZlZT0Pn9mOsrCcv9nciqt84MABuWD/AW9dQbn8issV7K1t5GViOqv6M8yvkZ3PYR75VQkqW2CKKRevcI2UT9dKsMda/EvhhQ7BJHXD4D+8R2GmUwGLTmaeLyfIOC+uVfRFCuvs3xpl9R/z3Hvo9W+Wp/zb45xsp88Dm/CCV/gs8OXMEPTNMhzuyN4ocqW2T//cet3dz3dQA+6OfAeV7aZyGnAacBpwGnAacBo4Qw3ozpIbWzKXITUzVQYR3feMg4nBJpRgi+andrPPOm5+7W8cJoYsZpOKbTIOLGBUkIa+UYDTpmUwdXPLHrrVNb+o+7fWlyQXzMmloYt5sV/8G2Zuthn8Z26Zm3aav5rNupmbPo8B1EVMMBVs5CMAcwS1lN0vP9uz7TBYGppyMorsg/MlObALkV11cWY9tk8CjoEX7c4ZYAmAyQ364joCzaBc/bhpBQI8tu15zBFIypG9PAw/Rk358BDgkuOq/swA/Y1/ODEj7eq8V/vIfzg2C82Kx7JJBc4PziNQEl4oEATRNJr+e4wWy2IIq55U4MdKxozrob9pFgDrQgCtQOBpchN8EF/woz8qn0SKklcguiv9JIeGkHIDLyvUBxJrSsB8lqXuBenhnacozC/Z67T02um+lN3E/PY+jsDsOdCNw4SbAXqYExOMH8yPF9bKAOItmNlGcW9hpg0ZaD7M4EHTU9MyMjYpFx+6Up5+4/fLL/zcy+Xv/u7v5LrvvU5KxZL89tvfrjk0kwn4bnrC8Nnbzqv6pewpc8qXKmQfM0ixkoltPWe83/RrZc5JMpTUOX1L09AtP2QJKR/9c5m/Vf+DUuzc3q3SB7F/jFbMZclza5ZtJeKzM1jYjjrjJf070ofLNOQ5r9tubKf6w9/L5Eha5cXdkWwIfz+4Rb0tIQanceePgQYcuHwMlO6mdBpwGnAacBpwGnAaODMN6GYVm0trosjN+hgCuTDVCCN8atHdq8cSYkdqN6UWMOjeE2MwQBCBGws3sPwQoNKEkcwNdrvoy3ptopvnSqsqbUT9RKgY/UQDEdN3q4mec1RGOF0Du0L2sgD2Mpcyc3lNlXUhu9kA2EjClJbz+Qs30YwK2+s1ISuD0jDaZ1cWN+oyt1QB+4TgN8jhyEIGTllXHDNP4cEZAEzU5cFIPf3aS7XNt47Ny+Pgh0oAqgXjs00HoCkKf8SJiRHJDufk8NyKTORo1rhdHvahiKGYMc1t1aqGpTOjeUMC2MUnpF1f8dU+ukPOSZbywl1DGsCH6SiqAJlHFgrqx0cz3gIC1Myv19TEeBLBmjTqLZhmjYyKG9gE6pjcM4UIwxNy5NhhxB5uK2CiyWwXzw1Xynlq9YbeP7LY/QeHa8btsY8XzadPV/wgj0CHYIx+tXzhwEL98wXJCsxa12DCnEO02xwBNNh3soBw6xQkA5EmgF69jSA4s7Myd/y4Morve/8HNH/mW//Xu+CnOYmXCCL3fONr8rW77wKja/xTB2Xj89uC6SoLowczf2fAA8pkHxkxls87mUz6umbAgBNEPpqiprWQh+vUtCbeYAocoVhGKSaQpVSUjwA2Bn9mPvP+Ytqbv0/eID7/SzCBJtM6i1ycCehU2+DaDAIX3dsLS/0MfXz987jj/zwN+P8e/vNmcSM7DTgNOA04DTgNOA04DZyxBrg9Z/E2nvhJAAyxcGPZgDkkWR+7MTXbaPPdRwj2VHuZcRidU01Ltc58cTwCLprXEnySyaS5H3NkdmDmtxpcRKAaBNjplWW9t65zcm6CVI7KjTKn4jiMijkONpBlswQ46m3weU7DW27g44gAW8A19jNSmW+24RFHjXlrJQNE89qZ0QSYtbaayNLfzQJk9uFAnDuJaLP0wXzWky6TqY9/VKb+5L1y7eMPSqkBM0z0aQFEWx/TRDKFFC1Zib/79yX7h38gl120W9oIZgR0qUwXgQKDDIUQTTWWRrCZ37tVYh/4AFKYJFVXnM+s2ay7s83vEisIGQCs8j2KL/qV7gVbOTOahO7gdwsdHEa6lrmVkhxdKilo2z2Vlfvu+Zq8H/IRwDC6aghAsYq8pV+683ZZWlqWiy67SNa7m3Lo6kMAZx35xpF7JB9E8CG8VLj77rvVP/PyQ5dh7QBcExMaCKcOlpHRZRlIiSaz/kL98zlqIkItdYaB+pfJLtMvkqaytvDFyASA3OP2IvAUWOYJsG8ri/Pyu7/3OzDrBXNcR1AcWHx3ATDXlpfkfgTxufzxj8fzCPPg+XmZ2bVL9uzZL2W06wC9Vipl9SulSSuDG9H/kYXrt7/6sgQn1BvzddqyXqjBbLuJ6LtJBWvDeCHyaIElZyX4Wy80ZQr3ygSmMs8l56VcK2DVjy6V4efLD+4fPpvluv6N8e9Yn3388uWRnuOYD9kGWGv6MU/jb4AvFfoFz+A+5L5MBs2a+/Xu4DHXgGMuH/Nb4ARwGnAacBpwGnAacBrYWQPcOGLjCTCn/oPYcBL4LMDsk5E0ye41bNAcDoBrg0W31fzyABFNYCMI9ENgAaSkwIx9OG4IyICmhLxWgDlqpYcAQrEazA9pRtmVhcCijAZHJR5E0J3+VP0DnZrs5UaxqYFHChWaeHobYnTgxplpQFY2G7rhjuqmn0DNbK7NWrkp16F0kw1sAPPVhALKBTB1c8sVRPvM9MGtwgp0IOCbGBuWzNxhaf/JX+gAwS99WS54/g+I3PQ06UyaYDWh5eMiH/8H6XzsE9JeXe+3G96p3ac/v61d7OqrpHfgACKmIpmLFRIjBENgNsMM4AJFEygEzYsAs4pH980APzNgJhPxMNjbspqRMuBPEj6AM8h/yXQa9957r9x6662aruMHnvMcZWXnjs/Jbbfdpr6H19/0ZKkCAF92zaUyMTkhb37Dm+Sm594k5WJF/v6jH5fvue57ZGbPbg0edOMznim33PIGef2v/7o8FRFkGSn22LFj3iKMng/Mzqp57e/83u/JNddcIz/x0p/gyvulBf/ATAr33VdJ3dBXNBGFqSleHsyBTf2bD39IPvuZT8vznv985NtMy/LKivwbos4mAf5/+IdfANauI094whPkk0ht8ld/8SeyFya/q2jzyb//mM7F8SJ4pogpeTuKYHMZgScCk1ab25Lg0pYa5KKZNU1gx3KGjbbXHs0vwe0qwGMCuVn5MsRfKBcjyW7CVJxm47yfZDY3i3Uw0SXkvyQgTWm97UdwyX5lRD+m3zEj3DJPph+w8zljeUa2IX+3mZCmD0DbcdzvY6MBBy4fG727WZ0GnAacBpwGnAacBk6pAewsfYX7yCh84LgppUnjJtgMFm5C44j6Suax6YHMfjffxl5pNl7AjpUgjG1jwbiCPVNt5iPA5Fa8Uu9oOpAQonp2kWOTwAB7dqm16/Lvva/IDdEn6dzsy6K9vbEpI/0lq4isuQGGcigZguxmg892jELa7tRgNluHWaK3EUdfBWUq85bglNWyOEx2T4JqESaCh+GDuW/SsINsbaQnaAFr+pcfoEimADwq0PTAJiuZ43Ow9M6wHccOvvk3Dbj0DRIIGbaWVZSXxepET/iF+q2V9Wsf8oCqsQV3T8enXuowwaQOGSTpv730pfJ4RFn9+098AnkePwaQ2JZxpO54yUv+q/yXF75AWkhtc6x9AgF4kvLLb/oV+ehfflQ+/P6/Ucbyh170w/LcFz1H7m18U4L5rFz/1KfLzTc35UNII3Lr7/++XHvttfIc5MLkeHzxwLn3Iqrsm9/8Zvn4xz4md3/ta3g2kCsV1/fu2aPMLwPkMCAQfX6fcsMN+ozau8T10NTz+591k8zO7gNw/JR8/p//WdObZLM5eQbA7fN/8IclOZSThdWS3PC0m+QVG5vy6U//o3zqU/+AuffJy37yv6HP57CeOKLFRpCmZAz1e8FOd2VtowKQh4BQYHCf9OQnazoW6qqOKKtkfRnNdRzRdulPSTNVFt4ye9+srs/0lyOsIahSFb6vzJ1Jtt1/zyjT8mYdQX7CGqlWJ0ODLHxPM6kawG5NSvUi8tAm1awckqiOzUskmD3jb4c5Tv1+nP90BNGC62Epp/D/Azx6sIx15SzSQOCdD/hsNs4iwZwoTgNOA04DTgNOA04D56cGXporAvyZjS/ZPm5IVzfLcsd9iwB93KjG5KlXzCp7Naihhs8/rofImrboaNjUml/UYkMdow8mxidgIEAlKGDwmFWY9zUBUBIjDemkirIBk0pTAD4BHi+NHQKDmdMq9uXHX6pgiI7B/I/BaMZzUWzmYW4LtioE80kGWDmxUtYNODfj/mI3+HZMKzPb8BrNC5lLUJk7MHlTMMGlKa6ZvyejE9PSe9oz/UN+248DX/iM1EvFnceFjBZADurEdCCK0X879/dqCYAY6IYpMZi6hTktGXyGQDIB81+un76DZOWYs3EcPrhqTol7SdNWzh32TFUZNGm+dULuad8nqSCYznBGUiF4OPaMKWsbvrSldkla61GJVbOyH7lRUwkw05CTLzKYY5RFg8ZArg6iC/NekN0mo64+ljjXNpi3AvvWucVN2QcfWEbz1fykqCfbq4wvGvb7Q14dA9f5/OXB8DGQECML0yy3iGexDNDG1DUdmPO2MAZZ910IaMVno0RbWhbMzzVTis18WaO2phENmKltqKdSqSZr+PtBE52bZrB8CUL98UOT6mGwg2k8U/YZ1HHP4KsE0HoEoHUUrOTUiAGB9t4TWC6s4u8AptmzSE9Cf0lb7DzMVcq0MiXksR0C2zsCOerwSd4A08nngP1slGD2LTSC8sFy2g7jfs9CDTisfxbeFCeS04DTgNOA04DTgNOA2QirHrArziLqCdNnEFwyVUK+bEwjeZ0bbbO9J8NpzFB53ukYxlDzQ8LEUMEaO3iNaSJLRjQIIFJHNFKa9pXBWg6D6SqgUaY7BBA5LrnAmhzuHNWOZJ0ONx6QkcQ1Ogw3yfzYDTV/EzD9yyGdCPMClqodyM68mpyYpreQET54nMds9llvin8M1qiYHnDhOdmmGZgQksVZ2gDrs97EeVwDtrAvI3zKF/+JTf/zC9d9mllUJ7zORfaLuVP++2UvUX4ClTJ898j61prwFQW4ZH0cvpfM0cigPdQBx1xYR6Al3Iu55SLAVwhBcQCM+CICUlGuNu4327F/s9MEMG9LsVuQercm0WABhs7es9FrS7sUltjakExNRGFmiuAzYLYt+OFxv2AsgkBc1F/bxr/WtU1E6kWbIMBg277owIIZpdgWykSgafpDWvwjiF5FGo8psHTdIIAznhWCyXUE32Hwm0a7iTZNfbGyG88A8382EeGWkBIQFSysAaVJMIAnAOhWN8rG/xFjDyVCUqlGNNAU/VcpP/vzmacvbwnmtBsA8EyrQpA5BDbUrs3KvNMvXwCcWKmoSStZeD+7yPZ5jEn2fs8E0st47L0dxz4DBI57kFamhBcxS2A4j8AXk/c4hai1Ywh85Aek7PvgOv6+t4hyO5z7PYs04MDlWXQznChOA04DTgNOA04DTgM+DWATzI04wQKDmxBgzqOOoIKBTGZGTVtet8V/bPNbKuhAcJa6zQvo7WzJY5LpJEs0v1rVIXaNJSSG4D3NdggAx2Cj8eAYZAh4ABPmsZ2GHG0ckdnYfpWNm3UbZAfiKpCg7+USfCTJ3jCNhuVaODVN/hSQKODAyOjPwr74xn/6w2FPKozoOskcmviPAOtB+K3tQg5I6+v2fS+7/aQ+386Kf/7za81wXCfk20HE/nR6bWARXJu/D0HVCkw5S9U2dG5SY7BLM1qRTrYiBzIzMhHPAXCQ5TNDTwJclQDOCYoaYIkJpvZPZxChVTXXn58HVanJEX0xYDTb6KIPPrYEmzGJr4+qT98Ygu5wCrKdJ49ke7CBAa2DbZjnkSaio0MxBVr0mTxd4bOtdxu4c32zgsi1LeQ/NWPzGVmH724T64OVK/x4K/CprANIMoIwGFVg4xE8Y/1C5aAPAR7XQJIwx7QiYCb598KgOIyuvAt+qixoio+J4sr8scuISMygOwSZMwCoZCFPVyjfBvwm+aKHDLwG8bEdIEsZf58LAMvUBdlI79bZFkYA74aGsRi+OKBfNWVJxhlYa+tvynaivjerGMm3bHvN/Z49GnDg8uy5F04SpwGnAacBpwGnAacBTwN2M+r/JWDj5pmALQ9/O4KRKNm60xRuSHUMi0y4q2bRzTXM7GBauLTZVBPGXYhIGe0hUT0YmRTyAq6CdUTSBE31Md4a02QkxzsLCgjmYGqZCQ7JWGR028bZTBNQUz4GdcmDuakiyufIkM6qm2r6upHBZOEGn8UCTD3uf22vt20VYDIqJxDEcZjYzq9WFGRdkjOmuuxuC4OgXHtoSCbHovL1+yty+IQB0ZceSMvBfUk5tlCTO+81eTHHhyNy7eVZKVc68qW7CgqK7Tj2V5k7PaECsQh7g2yDh/hl83qvIZrSBepdQnqO1SJkiiBfZbIttURBOgmkCwkbxjASntS0Hv5hmeZjIhdT80lGRaV5KIPZMOjLyYUgBc8IGMrBEuyEJZ4fk1x4WJlR+4JgsN2ZnpeqJg1NKmFfJTx0T+qD5p/Mi5lFHlQGvGEhIKzBPJSFJqfzG4b5pFksnxj28z8zbGcL+1YB2jV6Loazt0jBs/d3YJ9TWPdizoTqbg2RZBnw5xgCJ+XLLaS+SQHogdm3fzt2AvxWYMbKtDpTI1tRXBkwqAAAXMW1KsB/HClYGKzHwN3tz7k544BGOn5z7ZTFX+wzb+saWcM423P3e/ZpwIHLs++eOImcBpwGnAacBpwGnAaoAc8E0W5AkzH4LWI3THBZroGBAgg8HbjUDawFkxiOfWmOuLWx5SbebGpnRpCKROBLiByTZHuSUZg2YsPPdAnxaFLzT+4N7ZUgGM0GmEuWcAeyhCADWNGTCjbkTPOQB2MEy0ON6Mk2hAjAEsrCceNsAYJuormJ7wtHRpPttkxuvU46FTfjI2B74qC1FteQJoXMFFik7HhcCqsm4BEb/tD3jctznzaBSKs1+aFnTMrrfud++IFG5LUvv0DuO1yWFzx7Sv74r4/Ll+4uyGt+clZVPooIt5ccSMl7/vqEzmW/OPYWuGQtWTb8QEbKc7piQIJZ01EwiRHkCx2pzUC/iJybBpAdXYU56BbT5x9vEGBQJ1noNof7w7yRBFOlShvs11Y+VCtLWlJyZfByOdw9Kg3c20YXbJvHXIZKyJvYzMIcFua2uOePppDJ44uKFNi3tD9lhm9Qym1Md00l10WWtAIQWcVnBqy5LUWM1QZw5osE5qm0erdmwfos2Ma+3zJMiykHo+kOmqn6mu14SHDOYEArYFHXARwfnG+DEQfwhHmqn5kkGCbLyeiw47jGwnuwgBQxNLWlX+z4sGEibT/aH/Ce6vPMX31weIDPaQsbmD8KHmV85sWn7eYuPmYaeHR/SY+Z2G5ipwGnAacBpwGnAaeB80cDajyoKRZoHstC87kKAObDKcxfyaKbXP5is89IrjRnZC32xcZkFT6YMeSjHEm11fSPG3bra7cnukcuiB2Q2eisxANxBastBHnhCGYLjAOvEAAxqbyae+oUBIpoh3kwtfeFc2+jbaoIwLY+HKp/7h2zroNgRc1WAz6CHUTTTAAExKSI/IVXPW67OSMD/nziCyvyv98/p3PvmYzJBXuTiCrakHf+2VEFmI/bn4SpbVR2Tcblzz46Lx/93LJcfvEQ9E2JtgrHps/pSYUgaeDjb2PXRw1tdvPIF7ohR9tzAMUwGw4gH2imAGBpmEV7b9h/DGlfskEEPfLpg7pgIXvJCLoEL3wZEACj1w3CDJR5Lgc+uciIPD52ueyJ75UsWEqWUA1+gGAtJ7MpmFs/ejvLJh4emvYyUvCpgCqDAIXhExzEcxhigCcvWBB9TLkOBgCypQDQzcIcmfQ59ZatbCTrt3TKM1PIHDL/J/OzRkCNW13Z6w/1yznou7oXPpAX7BrSIEknwIozyiz9YW2hbzLNmelnyQBXfLRppl6Fnyx9Y/dNDYFZThqQrYITWHp3Fud6B1lvjzkwj706HttiqrbOr8gaRtted79nnwZ2eNV29gnpJHIacBpwGnAacBpwGnAa4EYzDuBQFJjEgrVkFNGpkcwjU4y3gSVI6YA9qmNjnE5mpI3fKAxgaQpIK8sNmMYuwR9tdhrRQTETg6uQfQKE0XQP9ONk8BhumTVVhdk667eCTXyRfVKAiP5sRyzLHJd2y3wSCMDc9pp/cWynoIKyYwzKzboQPpNgihDvVp593YR8/l9N/kr2/eCnlrAWkZf90AzMLLvyAMxil9ea8swnj8nN//2ATI7G5G8/u2Km0TEBsHfAj2zAsXsdA6QVqZpeJ3+rfBhsoMBbUO5o3am10WJOgzN1cnnpxMi0bl9zAqlirog8fmCE7acZMIRTMGVehG8rczt+9rOflT/94z/a3sieQQe3vPEWufCyA7JW3ZDsxh5JJuLKvO1k9mm7nekvWXTme8ycDqhCL2tIK/Lq17xG05u85EU/qkCQQYwyyNfZN4kFY1lEHUsCkWLJVtLnlIXs9E5F2UREXW0iCBJzgkbwUoG34ZEUgvVhsOIEuyfARq7lEbUWJr8EjjGYutIUezeOmU6EhQzrKtqk4yGwrFsA2c5N62kWvzhN/N2Q7U0gXcvgvTeN0dp76aJ9sRg++0MxPJx51DgEo2o6G7/crTkb74qTyWnAacBpwGnAaeA81wChiX8zSnVws8xUEywEBHUwNRtIs0A/NJ7TDJBATn/ZeGAAnipA4y8HwTc34QSMNWzK08jFF4pmpdVANNFgE+OK+pQdWW6CwWzADDWmgI5ZUjgPUCZMZmmyiMAoHbPpD4GVsiCwg2xvbSC1CNkqyGPmRsRRbJJPBWjYZufCekzMceymG78Wwqm+uk257CCYuAHT2OfBLPb6J4zIO//PUZjptuWaQ1nIFJBP/9u6PB/XLr8oLbf9B3fspy4c85pLk1It5Ptz2tYqMeWyFT65VF5b7/0G2wBShUnpRFrSTMPfE0FszBhsYNaJ0D5SQmClTOD0/otkz2pI10G1lStl+drXvy6/8PM/LwnktBwsiQSYznZCpgoXSL0TkF3TKaTreHRGfDSrBhbDs9hWH9g0zGJPVwjcstmspFKGYW5gAEbG5csBW8jK8+UJSxwMOp81a/5NFlyL7zkh6GJwHeZ/5d8CbxCjvp7qGTMDPPQ32dTZ6SEFvsuITnwckWEpi0lhElA2k3OY/JldmZmxjsXbx+4/F151By9jKDPrG4jGG8ULI/4t+cGk3lCuEe1sqbWDsgFTdFfObg04cHl23x8nndOA04DTgNOA08B5qYHBDSnPae7H6JQs3OQyaMnSGnMuIrm9l1qCm3eaBDI9BYEDc/qFYY5I80IDPhFvU6k5gj2aV5q2ZPVYdNMbHUJQH6REAMBJp5JIiRDUyJ30pYthXMYSBR4yFB8G0c1/ELkIfdFBCRLJaBJ48jo/rOOc3C8HuZnW4q2UF7YVnONfB6CVMoWxAVf4hmPdlvMy+rQQ7ZbgleLwerDdkNe9bL+89h3f0tGecvWwvBB+lX/6kROICNqAqWIIJrQINASQeee3inLtZVmZGANAxgCUK5tCVN4k8iMyDToH9QrHZOoLLZSBjW0ZkP3UABkdQGNF4evYAzHXGgFQjfnNHLd00IR/5Dfb98il4YtPCzB5TxVgelabzHf5ghe8UPbuntkmP4PbMI9pAYF/hhM5APCYkPmk1rgW1SrXhLUw96QpZp36vOASTUC5Nrty6vtEC2bPAIetOlLj4NmgKshss53maEUbCmL1lRvKyv9+97u1jlFfyTimwVqODqdhMmu25b0Qcj4i7Q7ThSRgEsv8qBOjWRnKZsBkhiUMk1qNaOtRzPgzgEl3QMbA4kMdyjomo1wXV2Gl5fHDLwSP44iim4KuaA5L316akTPoD03U+WKmCT9mpg1htNfTFwgHoezfn8pmhNT6bX29e2Hrqq2A3LYUkxNYv2MtrVbOzl8HLs/O++KkchpwGnAacBpwGjiPNWA25H0FcMeOwpQhTKfAQsA4nevJdBb+kNjgdoMZZY/I7JD1KSNiZRPmem2cd7BRJVxgUnn6WBJQMtVBFOwdGaEYfvNlRNdEe4IVBRqhpDD0DyHd9EgSPmZFZS93IQ+hJ04fMFAeggmb+oTnLAQzLByT1/khmGGByN65nnq13GMDOrId/tG/sY2NO0uP6I9dcT0SiWkbsqXcqFuAScRbrVbkCRePInjPhPzt51bkqU8cBlAJyytevFfHeccfH5Hbv16U664alt//jUNSR1TP93zwuMyv1eX2u/Py2p+9QAHPhz652JefJrVXHoxKvVLqs2FmLRBHRzVyQSguytaYdfTPzEGwGZVgeUi60bq0spYtNX1sTztmKpCSKNPHRMHy+cYdGNLkuPQTWogO28F978EvlYXMJoPUxJMJvIZoAtjWcE9g8jm/AD9VpDHZPyvJZEqfkWazKQ88eD9AfVeGEX13ZteMBPjSAELRZ/L4/LxkMmkFjnNzxyWZTsuemT2y3IzIfC2GeRJyUbaHPKgBWV5ZltXVVRkeRjTaXbsoCrB1QI6fOCFDQxmYkKYB6hH4KZdS5nvu+DG9n9nhMQD+IWkgyM8QUnnQT3NmIitHjh6VMkzB1+AfOzk+pgCTj0Wz3oB6EL11ZUnB557pi5Bn07yYeKh0KCrUGXzZfJSM/krcR4CpgBk3jc8mfYv5nJ+64Br+taBfgu9YeMt81j5LJ/XlRF756FJSymBxe/77bC+637NKAw5cnlW3wwnjNOA04DTgNOA04DRgfbQGNdGA6SH9DFmY6H0c0UHDIfgdYsMZBmuSQR2LZYlofspAKwSb9InjLwEnI1oWEWmU11nIdrIdo2zm0lHsgRVe4grYR5jtxaL0zYvLMpK819AuDZ827en1t/OZTbLpy222NWGk5aXdd7OfmZUt+DkFbtKx0dIDVZp50etcb9axRuiBbTBEF8cNgLBohNF0w1ItbsrPvcSAmT/7yILwY0sVpsTr+Za87l33IT1JDMdNpEsxAPYPER32k7etAXB24cdoAsoQpP748yalARBmzSxPAgOUyyzF/mxV2In5i3ax6pCEYBZbnTqOPuZesiuH2Cpgk3sRuahB01EE/WnPSyS1e+vywBFZYTJr4Av1CiOXNgF+IgCDDMZUgv9iPB6TMZjQfvhDH5cPfehDcvkVV8gxgLV8oSC7Afxe//rXy8LCgrznPe+RQrEIE9eoMtEHDhyQ17321ySbAdjDs/CqV71KpqenAfwaUkS7On737dsnv/raX5erp7JSx5oQ10f+51vfJl+/86sKQnmvdmGOW974RoCwsPwixvjxH/9x+ZEf/EEJgpH+wj9/Rj74gb9SBlpNpgG+LrroEnn5K39B65YAUN/8lt+ShcVF7x705IYbblDzX77A+Nxn/lH+5m8+1Ge5x8fH5bW/8isyC7n4jBAofzsK9RwDi/rICu4w/kXwjD7c8v415DVNWDb54fZ27b/TGnDg8jutcTef04DTgNOA04DTgNPAw9OAgqgANveAWB4KSUbaAA/cxsD8MGT81fSSbYArBEM0j2XE1Aw5SAvUwLRwU04QokAEprYbpRY+bQ2ekkbyeeIUmj3yXwNRWVlXrAQBuqqyfzoDUGs2uxZYckE8tnPwvA57RZ4zUAs35iw0k+VmfyVf03MymBzLz25STPZT00cAE+aqZG/W6TUcE2TTn5NXzMhghWAiS1PMNvwJS4UNeeVLZuRTu5Pyrj8/qnP5v8o1sLvHTc5LW08G6si8kYt1v/SyWfn+G4YVWA6uzfYxv95NoXC2+A5tFYMmJYoTUkttwhx2ax573f7qWvVkC1B021UAsQE/Ss7nPRsmaqyZ9O6775KF0VEdgZLRNHr/7CxYvZy+UPjy7bfL1VdfLbfccotUKhUwlQ/K3r175at33imXHjokP/SDz5dcblgeeOABeQMA4fs/8EF55ctfruC1jPb063zzm94kF154odyFud7xjnfJRz781/Jzr3ylJCHyn/z+u+Rf/umz8vOvfo08/glPlLnDh+Xd73q7LK/nZWJiQtlo9TuE/IX8hrzlLW+SH/uxH5MXv+hFylLecccdsra2CaY9CpDchZy/KSWA+5f/95+X8clpOfbAt+QLX/i8VKo1efDBI/Le975Hnvvc58kPP/95sgmw/O5bb5U3/dZvyXsBlP2pT6x+z6XfzRqeZ95W7xE7l2Q/X2V14PJ8vfNu3U4DTgNOA04DTgPnmAZqMIu1wXCY3N2a4QUjXsRYH7Dk0gbBpgWChoEh6DNpFAQsWSYZA3Asy0rBREMdSm33HwuCkRrNxeXoQkk2kFtxEqayHJ+A76QCOYDTkJqho6Ayhrx/BLpM57CCiJ4M/kKQyTQPxKjMVUkYRV9KysgP12nl1TkwjQJJ/BKn6qwwg+UxsJOCSj1GehaKxONNyPl9107I9155lfzBh+e2RZE9SWZfxdOePCqvfOEejIE8nxt59fvTQdEGw/a/jcRb33pp2/WtGh5xvdRZONOQWnA7m2bG9bVHhV+1vXYZHU0QHH89G9m+vK9ra2vy9re9VQey7RjI5+abb5aZqUmtJ9P4Uz/90zA1ndAFPf7QpdIBMH/uDzxHnv59TwMLmlDMOnLtE+XgwYNyzz33qDkrO9O/9SlPeYo85fonq9nyzE3Pkk9+6h/l//2/f5NX/fzPIapqRf7uYx+Tn/qpn5IXPPc5aNOR/VPjcs2V75NoMg0z3JLqANbIAvdFKZVKyoB+z7XXqny47fLsZz5Tn5UKUpQ8cN998o1vflPe9Ja3SnZyH/yMm3LjM58lz37Ws+H7G5Qv3/5lmOlm5Gd/+qeUnd27d4/8NOZ+C8Dl8ePHZe+ePbrmc/XryEZYmkyJ80gJ03N14eew3A5cnsM3z4nuNOA04DTgNOA08N2oAQ2WYxGDt0BuupsM5oODENBUOkqYslW2n3n17IRiQZpXq5t7a+Jp6wg0pwAY5wGAFtbrClgyPoDJkbIIvDIOgDm/VlEzTAb48Y/tB5oaBRQ+c5yH/y2gz8JaWYHknsk0/DeZp7MpE5hzBn5sbEdASTbSRJ8FuCTLiXPOjR/1HbXMJ018TWAUMDts1zSBUjpdmg574BR9ji0fQz7IlPzqS/doKpEPfmJeA/nYdft/r7xkSF78A7vkyouQMzNflm8cWZMLdyOyadyAXrb1r5HIjOs3IG7ghvkHxvE6opnm8QnkqjBx3Bi4yoG3V8EjUx4IYf7OmF7oIRJur12QYAR5L09ROMTY2Ji85a1vR+TSXWCtwxqAic2HR0b6vYbabGLwAABAAElEQVSHc3hRABaTuoVfJn12gzD3JLj/ylfuABt5t7KLXNvc3DHZt3dfvy/9aqempnTdNHft9YIyMT4pG+tI/wJwOw+fTH4OgQHl+GQoA3gxkYHZNu6UtAGSKGcMbxNauJab3CVXPeEaeT3A71MBWqcx9t59e+WqK58gyewo2NP7pQxAumvXPlnEy4KNQlnuDUUkiRcSoyNpOfzgAwouk4iO22kjqhFuxj4AyjKYzjn4dhJsns0FVupgZ+H7HELQKr5hGSgVmMN2cN2Vc0cDDlyeO/fKSeo04DTgNOA04DRwnmjAgEL/Yum/WAVY4xUGVonGkJOSJqMIOxoiwPE39h1rlFDsYOmvWQFzOIQ8hDRxJW822Ic5/Jg3kWBpabOp7OMQ0pMQUGEKBRSjiJxZhFMdUz8wcieB7k6FPp7sQ8C4BFPaVq8tw2MhSYFknYql4NsZlwdPFJBDsCYpRAQdQeoI5qvUKLIAIL2wAYtYrc5PUGMYTEaIbcLUE36fGFsBDEAMfzkXgSWDpvCX/zE6a6/XkUUEr7l0T1be/ksH4FsakL///LJ86g4TUOfZT8jJDzx1AmaYLbn36JJ85t8K8sRL9uCcUXLriCBrAgjttE7VDS9wsTsUVpfBwC0hlQV1FR3qiOHufI1VhVt6tFxkM9ABxIT5s4YHxTqwRnzhxu2AQrzhKM8swGAL2UqbWPv4UFrieHHAu23T2PhmVp2RFOMz9bZ3/C/5+Mf/Xm666ZnIFQn2EvX0Y9UHwt/Jd8z7zDn13qCe94ElHotBVhxAAVYz5sicBfAGJQBz6wyC1LzrXe+UfwD7ec+37pEv3f7v8ud/8RcaBOjWW/9Qx6Opcwi+mvZe1xtNMN70MMWIGD+M9CMtmM82yZSDCu/hGuel+TVfRpjAUlYKFe+s+doA2r63gr8xiMdnpYOot1QY71gq2pUynhneclfOHQ04cHnu3CsnqdOA04DTgNOA08B5qgEAKrA8ylxCA9xsrhSDUqiBDcKONFkrq18jfReZcoS/BFcEo+VqU/MIcuOqG27Ux6NJNall5E5CGgsMqFyyXeM5RDTFhTWayKJjLg2GEgxXuwv/TUSXJQBdWK0CZCKtBZLN+wsDAzFn5kahpptl3TUnmjKUgf9lHIaMQWPamYAvKBnMo4tFTUofBXgg6KUsnJOlSSbKO44j2byVkwDU5gpU81m05TUDTmFBGIsiCM5WXx0N4xSQo7KQz0sE1194Y1Ze/ByYheIiE9o3kdvz83ccA/A06UZOrBQkB+Z2swTGEP9ZwKeCDXwpLKTcrPfkhUCQoSvr0MNqnoGQkHJkdFNWoyvbe6Pz1thbR2y0EQDLGUzLSNeYKHfbyLMYYbTe0weFiUK3bUy3nocZLiLq7psaUvPkCG2QtajEOAKz2MxLIJqQfK0mtwPYvRJ+k/8Vvo+8Bwws9erX/FIfMHqdt/0w16o+RF7t+PgEIs8m5ciRw3L5ZYcUtNLvUZlR31qJQfG+BKxwCPk2J+Vnf/InFAwvNcOyfORe+emXvFDuuOM/NFgQh15fXQFbnlVZRkaGlEVnepqxsXHMdQTPW1VqAPGMiDw/vySxeFzSQzm8JKninlc0bQ/TmpxtZSLaEX5Y+PwwAw49ieESLfl6SI6UILMziVX9nCtf9q/sXJHXyek04DTgNOA04DTgNHCeaQA4RXP+1cESsSRgYrhnIiXDiOwaAwtYZ6oJAJhjyyW5/0Re7p3blPuP5+FDWcNmHKaSSOcwiyA8EyNxZR0VEGAcEzDHMyEFmCDkIEtEgDqajSIPYgjjIpoqIstq8YATzWGTAAWr+YZiKQLZfLkBkFiS+8BGHlkoog/zN8KEN96TRK4BwAeGi/25g/YKI97OjCHlCXbSRwAyCUpZDIgE0MLC9ZjADX0JKFtITcIPzWUJLGlOG4bMTM1iP2ThyGz18yyiHRks+2nU6rK5vgaTy+Pypa8elvsOrwBk1WV6OKkgjDIcWdzoM6HrXvAh1p+uUH9W5iL0cT90cWKlLNVOTZojq1LOrG7vzg59ZLYdWPLKlqp4ZD+8cvpCxjUOIEWzYjLMhTIAM3XvK51uQ7pNBBaiLyfkazerCtxsECW+XVheXlF/S5sOxtddD5kWhy8wjOmzmWIM5rfPeMYz5H3v+yv4PJ6QAFjFzUJR/sev/iqCB1X7q+X9jMG0tVTKI0LtH8nq+oaQYJ2JIoVOGc9CvS4RRLi94vLLZXZ2v3zkb/4vohQHZd/0iJQLq/KhD/4Fgv+E5Ionfq9s4oXBF7/yFWlmcmD6ovIPn/5HySCfZm7vBfrCgc+zqnpwAWfZOWVEViCJgcZMIpdKCzra7DiocpbdpocU5+x7hfGQIrsGTgNOA04DTgNOA04D55sGmKidpq0saTBvo0OJvgoIGwicGmCRGvDL5C9NMDMw54z6zFaj4bj6OjIRfBJBdliUJSTwAEjTgt9YNAZgUgfAjCAoD1JLIDVHFoSjhTdhAI8xmMcSRM4BUJZgJst5GRU2l4qCYUrKKvzj8iUABIDKIPzJjGXf9i0+gdgoks9XG22YztbAhlZk7xTi2oJhozgKLCkj1qZgEoCSMthRyIhZMGfbcg1MrUIw1QZ7iSbG1JBmmOhs0rxgBFxPIxdjuR7UVB3rxYBMwJ90OR+VTQDDGkBTHiwmTS6ZgoXr9c/BeQYL1UjzzKX1CvI9ArDBFJhmsOXccemGCbZ9xVuEXQuvcG2mbB19PbQk13f3w0wSgDmahUXs6VnLVArMJgYZwn0guCYQX8O9yCSiEoaZJZSpaw+Aie7BF5KlC3ZzJDsk1z/5OvnL971P/vVf/1XXzTQjzHtJHexUeN/43JEtZC5KrqCLcX8NaUBufsMb5DW//MvwxxzXdCeLSCNy5MgR2b9/Fu0wJ5RFP987ESzoo3/7t/KFf/kX+FCOqA6YEuXGG2+UK596k6xHEvKKn3u1/CEi0P7mzb+m/pWryJ+ZRmqUF73oxXLTU58kX77tevnzP/hdmfjw+xGhuK5Bgn7y5a+UfDwns9GK5OC3yPQ751rp4W+3y2A+rpxTGtj5r+WcWoIT1mnAacBpwGnAacBp4LtdA2QbmTaEJQWg4C/cfjJSKM3+Eh5otNcVphD1oNBsdDQThakgNuC1tral+asWtFEGimgMhXkOCUxikZbmwPQhH73OpPLMiUl/yvHhhDKp9J0ka0aGtbXOYC+QK2LmNsCObAzGwycaMKaenH5qJAUQ0wX72ZQEQBkDCxFcxuDvZ/3sFASjLdtbQDnI6fjBXwzysxgfQAPKOYb298Zg/zQYWKYIoQlrFv6l49kk2F3js7mO4DETCH7DqKUbAMp+QM+xbeE66XtYrDRkEb6VZPR6KbCVYCorSTCDuE4tcO7txV9j9OT/tjpfChQlAXPi8XBaXwb41+kf7xCivr75Tf9ThtJpBYQ0Z17ZbIO5BPtcrshEuCbXPOFyyWbTuL/wYWwZE+BeF56drZq85hdegfyRT5G77rpbh73yqqukitQjBJhcQRAg82d/5mdkdnZW/RnJzqbSCbnuuuuUYeQ9Jrs8Mz0lt7779+S2L35Rjh2bQ5CeSbn++huErCbTxfwMxpjZM4she/I0BPG56qorYQL7VU19EsF9u+DCg3LxpY+XLJjKBby0uPR7rpPf3vu7cttt/4yUJBWd/4lgLIV+t5jvN27+de1/1113aTTbpz/taRIc2Sd3INPMEnwYxwYfFL/Svk3HpSaY3ibMkb+NYHCtTf/Rb5OAbpjvmAYC73yA1s2uOA04DTgNOA04DTgNOA2cHRp4aa4ocZjFsVgg8fWjq/KtY8Zf75rH7ZYDM7mThNUeRDq+YupYYeobAFFLiNxagNlqBmapIzCZJSC1MEcBJpBdwAsawyivBH0X7EqpqSlZLLalXDUAXrKXcQRl2TNpGEfO1MQcrC8AbCVybUmOtNCHPnwcVwByxiUDX0JbCPqYnuTwYgkmvm3ZO5mSEfhycimMSEpI3WdYcaw+fLYzx2Sdjs3xzUrY3n46YNMY3IWBgFhMG7TDvwpyYiysAyQBZE4Pg6nF/HcfWZcCACZTveybBJvWDUoakXIP7MrC53Rrt281Xa62kGakrP6tUYRBLWXnJZZB4J5eGQwdpFeRjJxGAP2mJOaSd2ruFT08uXC9bBvCVDImF4UOynjQRI+lIs1KTZMQ7wsivrKO/ZkCpAyf2HuObeLlQAcgWuSSPTGJRAnqcTfoQwtA2aVzJkoQEViD4RgC5yCwUmQITQBsoEM7i18cHtOfcwmpa2bxHKYTCN6DwnvVZq5RBl/CSwoNzuQJqea2aMM6Besw12VqmxjYOX9bMqGLYH5JPtOcG4Pq9SW8dNgowXQXY/AlCZLb6D29EPeEQNmy2CoHxig1evKJAtaLHs8dKsv98wDoeM734Tl9tOXfT0SlmA7JxbGW7EogUBaiuX5uNS6rgZC0fJYCj3Ye1//c1IBjLs/N++akdhpwGnAacBpwGjg/NICNNM1CN0s1XS/BH4HOTsUAC/Ntr+uZbvD1C5FDQ2p6ullqyDJYtiMAdKPYxI/D7JMbepor0ocR06DAnxFMDE09UQ3mtK1+jWpriqsMykOfyWPL8Cust2E6a+SKAoDlwJASwDYriGybRsRTpE6hz2UPdqkcy18I9mII6LN7LKW+l3MYLwo5yYTymhrwGoG0m3a3g3BMXrPnvoEt0AwBdPET8cw7W1iHRl5FWxgeateIrjkAc+Gw7BpLS2FuQ4MireRLsmd8VCPtFsBejucMq8ppqCL6NB5dKoIhJQOLSLoThyXWaUihBdrMqFwSgQReFiBoTmeT3Yj+vGv9AwWErD8ZWBp41+whdUsPLLEOwDHYEte8OegXGUBkWX/hWigT9Qmcr0GYpnKEZyeXbgc5VPFpN8oShq/t6cxveV+PLZUU/EXoG4iASP5CYAvkJ8ZD2H8FZsOQexkpaQjqJxE4Chh3W9sKnqP55TyYcLC0XiAjspMtmOjec2QJLy7IpodlIpuF329EzaU7qBsssIRFUJwIouYSvPL5wssQJtf0Fb4c2em5sU1o/h3BczhYvoqASt12QI4i0mugYq4SVBqT68HW7vx804ADl+fbHXfrdRpwGnAacBpwGjgHNICQNQAT2LkCC2R6Q2pySbHp38aIrqcqO+EsD3/0uxCgMvUH81auIprpWqEBv8MS2MKI+uoxGI5hxphTE9kJsbkHGenl4TNgxw6WA8NIs8tlMEsJBGiJemaBQ0mwRuEK+gLyNBBwJwJTUWz0g7CdVBbSDuD90qw3A3BKsDq3XNHPfgQhIoBlsUDRsGkGn7FegSYPUPzj2vast8f6i7XHsL4GABH7EpPyE4X/H30UCa6nYea7vBmTdQDwMnJxlus1CcOMl0GTMtBZHDIxvcXqJnOCVmmdKWMTQSlmjsl8bQOr5KT8x//I4JFRDMhwaEQ2OsgHyQIkwnYKJn2/KpTXl8206IAihztHZCQ4LEMBw75ZYNlBUJ5OY1PC8QmwhoZFtF1HAYY3S4gaXGvIUjEElhG+pjG/1mxL/GLAQJDMJu7/DoW9mM6GYJWRfccYAMkKsUP7napaMBis1MCkMsXNDg1oUsxC4OgvfA7tfaR5OO/TKVbR7xarYS741VZhWzqE+/ZgvqipZWgqzWe2CrB5ulFo9s1Iu/7yr/Mx6caM5ASu/eI77Ne5g/NSA6f+v/N5qQ63aKcBpwGnAacBpwGngbNBA1WwVF9t36VsyL76hRowh3LFwL5FYHZ42sINPxHTDoUba35oRskN+yQAAoO/FOA/t1lugW3saKRY+nVGALiY1oRDdQCmGM2z3W0jrybYRCIqghHMwdyXc0tlDeAzAWDGQhPEsWwcJo5VaZThixnvABjTNBW+iV2Y0vZi6lOpjb0vAhX6NTKdCfst47MLDBaZUAss7K8fSNpj/nLVlMnW2fFNP71imE7Kjvbk8dhHwSXNOaGbAJixvRMA9LV19cVc2ijJ/slRMF9tsL1VRN1NygLYt00ERqKeqiPzsgzfyioiztpCzfC/MIAlTVq1cCJ+tEBWI46tML+oYz/+8762rqNuobsgQ6GL9Fq3XQW7h3ykrZI21y5eaztNBIzaeC6mAYoIytZKIUlEcA8B5n3CwDd2CMAyDNNYkypma9KtoxpMho+vVPSZmAG7y/vycAtlaEPHBOmDhc8Zg1aRmSTD7i9hrMPIbNh13l+202X4G/qOr0415VPthHy9FJT9yr73TNobvKBhQKvdkzAB5ouUUxRGmfWXzRp8QNHXFaeB02nAgcvTacddcxpwGnAacBpwGnAaeAw1AACATfT8UkWZGgqSQnqGCNhBggc/mDhJSAJMf1G0AUCD8Wje2lZ7RDTAOX3YJhFUJws/wQ1EFl1Yo0lnDRt8AlBtoszk9DCizwY60kV7AgQWzpKKR8GERrUN2UeaY7IQhBUqbamC/WsUIxIZpX9fQIrNouQEuRdxFkHQHn8h4J0GcKHf5jpkiQEE0EzVgkrb1n/eB5VYC8sgsDR9ANmMOvt6Y3OCZrYnI0x/QAZQ4dhjiGJLv89l5Ekkm1asVmH2m0b6lRqYTKwJQX6GM2A3Rx5Eygzm9kQQINwVo3V8czKUbg8RfJH2ow8wjTBUOwT1TkxT7avAktW45g2x7V4vdpflkvDFMCetIX3Khrk53jD2x79+Dp1NxyQFIMwXCMVaQEqIkJtLcnLwqoggbIDl9vtgx7K/vB+LANQU7AL6OQ4AL9vuoX6r9aaynWR/BwvZSPq8xmHCSibbX5hmxqSWMbXKHuO+wGJ8x8KxstGaTOar8AOtyhKe21Gw9TncM5qVMyKxBas7DrBD5TwC9uRPweru0NxVnacacODyPL3xbtlOA04DTgNOA04D54IGIuWMtEtIDQKfO4KNNMxNdVOMzbPCA4tAfIvhttxAB1Op+2/dq29t2LcDEPjNIbALLVonhqOSwyacgJB+lPSNY1oTBq15EOdklBjAJ4YPN/gEf51OXaOuMosjmb19SCdC8NRA/k2TYxD+bnkAVaTCiCQASnGN7CnNbcNhALKBNXB9uycyGsV1ca0GE0zIBIC0VSCotxT9QX/15+Q4mJjj+dfHfv4peK3RYJqRKGRQ7Wgf9mMgI16PI2rp3oms5u9kJNgCguMMDyEIEVJ+VhDsp5eoyYncgzKeggltrWRE0/445JD8QBwmT+kgJUlPPPCGejOjaeCXq78oM5rq0KyT9xr+fxrGBulFKse9FvYHE3HpHJmKHygEgpP0B4XjJZYia+UgUpN0JZ7eNdBy51Pqg+lVmJJm/0zmEQNLjl6GWS1TkNCvd7AwX2qj1QOrefL2nFGI+Ryy8DuJXKsVpMApIl3MGCL8sqipLJZPP9gNmDSX4Bua64WRDiYhF4xG8IyePK52PIMvRoO9twwfT88k9gy6uCbnqQYe+VN2nirMLdtpwGnAacBpwGnAaeA/WwNmEx1ElNJwMSsV5GtkIXOTgl8jgdkgION1f50ZgbUDRdEM+TEPhHjohpE+CWBYH0b+w6EkfCCxge92kLJC4mqqylyWTNlRA2gke8dCholgMArmjya0zKlI0onpPQjKGJhnCMCQwKaOHJIhgEkCShaug5FcGWzHLzuvERAxqMuRxaIcRuTZi2eHJY46AxoJAtGIXwA+IbBaVnZzgSP4C9qxPdpy5moN5qQ4bsLvsgkfQF4yWAdXMSbP+TWMEKtkLxc3KlgPfA1XNmUokYBsiKwqSMUC38cGgLUpJvAQMl/oHPzCFFpqPbTBuAzqY6qMtGYiNtma0/Sw3xxEL2vqlothDjseHAVYXUNAGS/AUxhmyAGYh0ayuiajH06nq1AZmBqGUXh5nwimmduz0BzCXT194VgEfGRrGTF4ZjQJX8hHvnVmJNganotRsIeDzCQl4Vz8pAb8LXmNLzV4Lwpls26e0/dxAS8fkmDOaU7LQEP0o+QYaQQlIhA+UknLV5ErcyqAFyADAY847pmW1XpIVknju+I08BAaeOR/IQ8xsLvsNOA04DTgNOA04DTgNPDINOChkjaCnrSjAAhmQ03/MLI+FkAokPIQDMFEv35wUg9osJoAlWkbCCZZDJBiXwKcAFhImBp6JrM6nodvGEOIc2MEABSAQjBgZIqCCADThHliowmfTDBLZCoJLJnmZAZmpOzDzf7RRVGWqVYIS2oUc0Mm9meU0yDaWDCkQqlgjIobkSkAmiMLBVlcKcNcNoF2RjeUm+uA4ApSzUJQ6YEx1uOf3N99QP1L9wZ3A0zFNZAP18i16vxYC+cmIOZ6DSTjN9nLECLFDskSwCXHqiAoDn1GJ4czEm6AiVwZlWLuOFhMaIX9KZPq2oBY7YQ6/tbgQwut6bgKJdHe/rLJ6colocfBrDYhowjmwxKMDmPIDkxaYS4coo/rqe/9aqEK82L4ZUK4KUTjXUNQIgLNxfUafG3j6hurg+7wxcity1h7odKSaZg4D4PRfrgBfPzD8oUE9ZcAePQ9kv0mfHFBzcd2MJllPV9e2MJDBhVaQSCpB5FmhOMlwKZPIL0JgwHx3hHARlI9+coG9MMBHkX5ch7MuSFIH8Uoruv5oAEHLs+Hu+zW6DTgNOA04DTgNHBOacDshIcDw8oaNhANlCUMhk/BJU+IdvjZYZd+ElBjO69w5GgkoiCLVbxCk1LrzxZGUBfphfrXudsnCDLTsDeYQmzaGfVVd+zwZUtpnkMYfkYQSRMtCILVgpGdMDbnmB5NgFVqClIrSr0UlrXchkz2xgyYDRmA15cb/TgTz4fTEVmDWWwerNRQKqxRRnFJi8qOlmQ/KWC3sYEANy3ZDFRlLoi0H2jQDAC8ImLtaGgULYPKVqpEFA2jEGMTGLaRAzMC/0OjU14wcidjUciQQrAjAExUMxXG4kYBLFpaMoG4ZNZmpTR2VLrJGrWkcm0HmKgy1dLoNXRNlNWr2rqoo9tazmT0fkn4cTIVnDL9tJZLBUscG0cP2551W8dsxlvO3JtkHZlmhh+CNsKzEwjKw7yiSxtl2T+d9Ubd/sMXAjSFXYeJ6TQA/iQ+jwZYcnSasNoXJNtnM2d8PriMnYLscH0MZMXr1A7lm0AwqjXI1wEDznyX9PVl2pFtmmBjkOyHGwjSFGW6lkdWisxt4orTwBlowIHLM1CSa+I04DTgNOA04DTgNPCd0wBZFsAziYFpK4FlI1PIksDmWVkfHJ+SpdSWO38pM+eBkBgC6ZSR03ClsYoNN3fs2IXjGjfxCbBhmUgaADEszCFIhs9s6fHLQ55pHbrgXIEZxmsjT2IMvop9oOO14djMgbl7PKVpLJolgFsEwVkKL8t4aEyiPbKzZmDti2PmriQQ4Gf3ZELuP15SBi2JNBreEqTXKKEfgwSxHVua0gPgbZElRBU8PfXK0fYROdi9sN+O0JFgiakvEZsHvqNgIikCB9ffMBi/GgBYDQFxkhoVdqOMiLDwGdSoq8WSAuMcrqU39khZ5qWbqPZlM+JQJs8E1pON64sDlEbxX6kHX82+2P0DCoGUIyNyRegyPd5q4w3CH/iGUq+DhePzfq0XkWIGLOXeybQGJ7LthmFamkdU4BJ8SNcR5Gc40+jnJ+3fNzSeBzBlQCWyfwz29GiBJWXivHxBcKpgQHWYW/PlCQNMDRZWqf8uDvisNPF3QeZyGCbXzNlKk+00zLgHC54smUGE4wfrYXkKXGY9t83BZqc8byCf5V8vJKXnWMtT6shd2K4BBy6368OdOQ04DTgNOA04DTgNPMYaIGBLB5Myg2Ttd7dWdDPNjX8iGsHmG+yMt/nmJtuCMr/IqN4COd6FHdsCOKQiAA74z143vyKFdhHALIyckMjrCEaPpqQsjDTLNn0wh02/MS9taS7IBqKmkhll5NXBMoaci/TXXAGbVt2MSnCsi1yeVYl2DCDluuwHk+giOFcUiGAkE0WQFrCX0ZIkkUrDIEDCMAigWARr0EM90al5Tc0hwXLt7u3SZn3zSAxPq1qaUpaRd5G5IMeyCJYEdqwIlnQFUUaZ45I5RcezUfUDzFdS8sD8BnKDwsQVY26UKtIA+B4Fi5nanEI+xSXppJCb1JNJb5P50rkpz77QHpi3jiJX5ZD8S/M2ZXrtWij0cBBxdOHLuT+0vw8et1aky9r2ZZ8FW1lrdjQlzDpyl47BRJT5TP2FKVdGEdm3grUxUu4a7gX9KBk9Ve8r5K1jjFWYmybBGNMvlse78GJgcC7/uA91XKkxajDMa8Fgn2qcBlLQDKXw7OC5HCzsQ79eglyyljShZaHZNMEl81bmYOZrg/7Y/nH4914w2pZ5pMN5uGWzGZSv4jltIFemK04DZ6qBh/+knenIrp3TgNOA04DTgNOA04DTwKPQAPCP8SfkGARbKNx4M6IpfQ8NENz63dq0s47YzGyKbTvdjuOCZaGavRZMEA3bo9FWsWlnHkv1uUS7aqcszRB8KiMAdciDyMIxFUx6QYbsHAQhLZiWRqPIqdiEiShkTEbjytvhRPsSbo4jD2YJQIPgplnAcRYpT6SuY0bBfrKNBTlcA8EeTXZHswFlLtcqcTkwilQp/XY4oEyQvQcZlNFT6lFb6FEPAYqYlxNBW1WPHF8LfpIICkPQspJvICJtHD58FZhaNhDICLIiPyT9DAPIJdkIYc5MTa66cEq+NbcuJ9aKKmcZfphkMkczCHbTmZaqLEg7BQaTU3iYhD+PC10o6UBacsEtM9SLwxfJN9v3WlEUVF6CoD1MW2JFhMCqQ66PoIqsX19+7Wm+OpBhE6lGluBLyXmN7Ak1MbXtVa9ongN7SaDO1CQMglNC9FsGy2FhECayllGAarKe9UYL5rUVAE2whGjjLUnbPpwvpm4h8GPwnZ0Kgw5x7hieGe9xOakZ+/N5o2qZHobrYfCfXBp5WrEOjpFi/tXBQhIbj8adtahcnTRM92CTwfNP3R+X4kgQJtYIFrXDojWEFJ6nDmTa6frgeO78/NHADk/g+bN4t1KnAacBpwGnAacBp4GzTwO6WeUmGpvnPjCAmI1WC0yXNQv1NtpeG9vOv5qd6gjUCFRYqsj/l0C0Ud2wYz4C1ghMYRsAiezbBbPVBiJj+0qzjLQbEwArMDTFtVAMYAR9mkjpYQv7MAJrAGCt1oaPIvolY4xm6u3O8cNgK7vGkvLgQlvqFfhawtR3KbYsuwO7AGTqCl7iMaYdUZipfSkf2bWRoZiaqRbbI2B213RacqiUj2xbtYn8hcGONOk6aTEMZNoVmpGhENKjMNgn14UPfxuNBkwtGRUX4BJBb751rIBrXbCZAFbTaYnHKAPSqNS68uXK7TpfGOzxkw9cp9eOLhWUQWMk2eV8ScaGUgCYe6U6cVzayYoywkPBjFwduUr7DmIUgk1CRxruPjV6g7bhnRm8bwTNJxDQiJF46e96cE+un0uUS6nDJHQB1zfA3pF9pRmrzTWqgw58EaAy8isZWjKAK5t1BZcEr2QpiwCb+6eHEDE4At2ENX3IPAAm857SNBsSeiPymRkYfIdTfX7AWg4hv2Rih2A97LIBBpXrJlN8qkJfzP6LEQBJjkvAyfVuzm2AwawDbML2FQWX5I5FsI4weS42ENs30ZMT6yG5/GK8sMD1HchRROEVuW8tIl9qxKQxjIXhPBjk3wTALMIA+0HkgSgCO4G1/nI3Ji3I4IrTgNVA6Fm/+IZb7In7dRpwGnAacBpwGnAacBp4rDVwRQIMIParjMK6gQ1zCeyYFuzk9yH3Ipk2FoIu/0cr8bUNnPh2/zZQCrfCbUQbbYKRC3ppQHQcQjvsupkahHkgt4oxgy004SOI61Hkh4zhw3GCYBY5rvJrmItz6/iIolJuoz025QRsDBTEObhhZ2AZtiuDwey2EGYHG/VyLy9JpOoIgSlqA0yRPSVriRViFnQiisIhcxcy/2YKfRD0FGk1wrJYRAqUclwqrYgU6xGpVZISLY1IoJSRYC0pgSaYwDaACVitLuQh66UAE3M1EeynVO1C112Y85poo3uRpzOGVBc6NWZfgWnyWnddz7tgCOfaczKMADkz8QncGwI0M16VSAYl0WH/oFybulJ2h4w5rl7of5k1daCXOiIBM8VIFCbQWKGdUlsSPJUAyo4tV2BO3NagPE3kgeRxGkCNMpNpZeRX6pY+rTNjafVN5ABUmeqOPyj2WeEscYBEsp2MCEvGMAyQzRyU9MPchaiyI0gXYvvEAagL8JfkfeS828xWMS9Xc7pCMSpgLslYkwkmQPYXvhiYAzgmMB5BTsrtV7daMuDPwnpJmeIkUvJMjw1pBFmOx3ysTHczhvtSRwqfz67G5Z4QPFvTAZnDWrtAiOVUUO6sxKTSwUsDTNJG7spkRJUkc5WQ3IY+34AvbJt/fCg5BJq6ON6Wy+HX+0AFDL/n0nkQgYGeMVSTiXRX7sMzV/ejzi1x3dF5qoFTvx45TxXilu004DTgNOA04DTgNPDYaoB8GQvBAHMqZpLME1kHqGghQXwV7AxMKwnUvKKgjceoU9NQgyoMgMIx2Z5+G69dtVvTgD1EIH1Qw3bcdQMsJuLYpIOFNOMZv8oQTF2rtRIYxhoYrKRk40NgCrGVAg4LA7gRLNlUJpEugvbgv0qnKuFuCECzAt/JGDbzCTBBIY30yQAuTHbfRS7C8HBZCt2iBvhRLImvFphamspa2RmwJQfQswqm7QRMatsAdS2AQwZ6yaVDYOsM6OYSyUK123GpwY+vhlQa84gqGoF5bxiA1QBgs26mxgjC33BmFJFfvdQcCn7Qn6NRN22GG4VaqBvTCzoN9WA2OqTMHs1k13BfCFg3y1XIFEck3EmphDqQF+a4GMOuAYeY3/gLRnsRORS8RO+bhwS1rbmPPfVNJdiLYX27AHi5vgQ+R5fKsriG4EIN8NiYk6CMpq5sx3Nb+sd6X20tnwVzPAHGr1TFSwAAZDKTYby0mBo+2U+Tc05BP4vIKZlKNJTltOvhbDqjLtKMa59M1TMm4/OXQ+CdpfWqAYBZpk8xheLmy8Ysevg0wJKteV8sc9mGDzBNsXmX+HKDPrlzYFyXN6tyV3tMFsHAPzHdkMsSLXkQkWK/AZPYNYDKHv647gEgvLcZkWE8PzN4PljuqYSlDRNpFt7369NgcwEuu3jH8tk8zLsNIYoXIF0FltoQX3hH44rTwDYNOHC5TR3uxGnAacBpwGnAacBp4GzRADfS3FBPZFMKLrlZX1gvy57J3DYRdXOPGm6N2aeLTx9Y+Fradqyqtqvw7WOUVpygIzfd7E/QwE8IoDaO30YDORLhh6nACqCIW/EeosJWakWYGxZkKJaVsdQomEmYHvIaAqgwqA8Z0WQ3CXNCsJOEZAAC9W5VGh2AWoydAKs0M5EG+OtIDQBHkMZE0hWpok0SwYwoF8EDTXQTMMFVuTA+TTMJ4oCHEB0UJqBgowh+SIbxY4v6pUKmGHxAyYxtAlwSyNKElWiI+onBBJOmtuNIaREDc0emtF90LIJJkZnwFKK3DsvxzglZ6i5rky5QBdc8hntz1cEoTGrXZH69CJnJyJooq1zDrGTUV9Eo2oy+073pz4uDBuRlGhD6EU6AiWPKDUylhVF3GZBnvUgTWIBY5J9kflEL9uw4/jmsWgbbMBfk5EhCakvIPwkWNIUAPmT+/Hq042XBWBbBqC8jei7NW23OSY7dn4vK4rn5McdUAkr/xQB8WzmPNY9tAOBxLaNgNGmOfLqiOVrxTLLwGaAZLwurhlIx3M+aHF8FizvZkx/N4iUMgCDXckm8JfvANnbAML5/I6XmrSQbN8BObzbNPacZNVV8OdZ4CO0zAJYsX6ziBQWeMRZ+35Da7rMZakAGQ/JqG/flNODMYt0z4DTgNOA04DTgNOA0cFZp4EpscIF1YP4HJgyAiIFU1goV3UzXwebtBbhkzr9+wUZbt9neRt5u9rUOO28LKjCktqN5YwOUzFaUWO+CBwsIJJkvkIUberKROoapQq13DSO0O00AxBrkiRozVrRnf84RQbCgFoIGUTrWaT8I1aUZKepCYP/i6EdzzGYNvqBAuI1IQVN1MA0KC5fUQYRa+nrmoQuaT5KpPLArAxPQFFhcRjSFfGyrPewX5lQxewCfUclCh2NgzOhjGYfZIxm6qZGYghL6IHJ9nMusEx3ZmbrDcBGA4QDQCPOO7g3tliJSiFwRf7zOZ66HkM4joiCL/ooch6kxImAC6036EQYVFHNIe29USo7vzcFz9qNp5/HVKljJtkkjQrDnQ3tsT79VgjUCT4I8lVkH3PrScb3xWbtjG9RTRgbbIQDnfSLwU5PgraH0iDJEAezp99nECwECTDum/R3o0j+1svBFCdObNJBjk2a59JcsYb3FagsmvRmw9B6C7vfcfsB5T6wW1FycLxlmYBbbC0SkDEbyRDUiGxU8U22YGcNcdRT3A8vvF/pNxuA/OYPn8r7NCN5l9GD2imcDddORjvxIrgIz5qZMhWEuDlNtZi19oBqWO2owqYZYuLt6/WIAT3/pIDjw8Z2CCPkbuePzSgMOXJ5Xt9st1mnAacBpwGnAaeDs1kAQCIM+lwSXZGaYxD4Ls1gGbaHvJdNHDKcTADOGLlFAtfXVBzxcpWE+BzbsGL/ehSmq9rG64IlXQQCEM+7LPciKwD4Mt7kdCFk0R0DE/JYM+EM/TvpW0kSWgILMI01p6dtpYBrnM/PwGrgkRJSNwvwVTCp8/3od+FiCMaqFCpINmui0tn0evqcL9C0EQNk3nYEZ5FZKizYCq1BiyrytQDjOZgBdT01i4/CFzCBQDVlLmlPSv9QWBUEeRch1Gd6SS4c5JttRN6ifDI1DTpx74xNIdwGAye5hWeqHyXZ1gCgCtS58ABltdRt4oj7txPht4b6uIa/m8mZDmdg9ExkA3y0A52uqbDZZRxbK9tCF927nVmoCjEt5BAPis8XlZ7AOa37a74UBKD8BIXN/xgCYE/B73HFYrs33sWMwWE8CgZkIZleRg7MDZW0gBQxTzUwgivBDraUFH9ETKwX1EUUoKGmlcvL1alr+o4y/BZi0HhruShn5PdFMXxqEMe5ggYU2glGJzMba8vRMXQ7BbPYCHC8UQjLXDMuDMJ/98kpU7uzEZK6LFxzen88IgCjbD5bJTFe+Aj/OnRUx2Nqdnw8aOD3/fj5owK3RacBpwGnAacBpwGngrNFAHEyK3RKTLeKHJoDMEbm0UdLjxbV1mR5qaTvCp3BszINsxDtgoGDyGopkttbEjT6BEBEPjpmChJ0VAKCK1fbDgQiq8KOFIIPsJfuaOuy2kdeBqTZsG/agzJV6kYgWuTMTkgzDlBN9GwhAwyA9HbKLOO8XHBK01kD9TI5mpAz2ioFlOsglGUKwnvXgpoyGhrU5517OI6AMELEBliZtBsejbBH4ZbaYGsUK5MmqayKIxXrJfnbASrGtlYLjGr89TOPJpkOw40DhPPR/bRMsw1SXCjN8LH49pE4Wcf/UkKbEWNwg09zFy4EK5gNzCTCYgt9kXwc+XTCoztIagvaAPZwEo0r/ST8Q1fs2IM8Zn/rmGexjxx2GPyT9egvwfdxQE9W2AnCrE6sv9ieLzqBKKwDBZI0fHsgF6ANwjcOMeR3RYdeQi5MAfBwMrH+OQTntOZ8ny6g38bLlm/C9jUwE5NlD9I/sSBz3qI7cnqtgR5nqJhYxz4ntz98sXl58b8oLkOW7cDsYyjU8pz0ig61sMb4Wpznkuw0v2M9pWrlL54kGBl7nnSerdst0GnAacBpwGnAacBo4KzWQBkNi8QB/ya6RwaTfJc0hWbh5LlXKAGe1bcCyU1uSTm0REViL0q7Nmw07xlAQiXEIkAL8ACAxyuv2D+sMSNxSjHZW4KVjYET+0mQ1Hk9KIpGEfDRvJAsIxjKICKbNuhRbJVltrikQiMGXMgLTRbMmH2jDIU1N6btY7RTlgl1DysgRt7UKGan0ypLvFvqiEKhlwHqRVfMXyhONwMwRHx4TgHAyfOMXHw9AEkQ24Qtar4Mx84LBWHDVb88uaK992RWfwUL90Y/TsJ6cb2sryfnJzh2cySnryL40j90oV/BioAJAZvJzsp3OgQnyyDX5wIk8AGlXZgE+6V/pB5aD828751pPUzjPYCFu5rr7a0cDvsDYOwlQD3DMyLeLCLxjZRwcgUznzHhagTPBqH+cwbl2OqdIMZjiMqrtLNKd8NwyxDu199cxpyX/DrRgDQcRAOqF2ZLMRGBmi5cyLDSvpcw0J7c+mXrhIb5+ZLoqkyW8AHkEAXrGCo+g00PI4y6fuxrY+j/CubsGJ7nTgNOA04DTgNOA08B3iQbGwMAwQTuLBTAERvRRYwAbFuz/4acI9hBgrttBpE2CyeoJbPRN4B0FWGjXrM5Lq7oCH8cazjAmdvKMfKqMKLbggJkKxgg6CSwINgMEmAAQCri4S0dROcJhicURkdT7WGAaT8LvD9e0r4IZjosVwMRysbYsS81VpBmpSL4NVnNbIfPHSLYhBE9JYW1RDU5D2Zp1mDwijUgJ/UoAmQQ6EchXR9CZWh1mjzTT9RW9ziBBiHCrcili8QCc184CqjYYzCbzhRJlafG1U/ltB/yiiYIxVvXbe9f1B31VVfw1OmM1/SEv3jUMs1FjIMcgQhWA2uOIyJqHjyFnbmAtDM7EKK3DiIB74W5EnoW57mCxUvbr+zL65O5f3DqgPNrXWwCPzRJOGlE7MS/mOKLOsl8BMjJn5KkKwS+js5J5bHjRVk/V9nT1abwsGIcf7M4S7dxz1BdptlCpqf+lvyXNdplGhWsgK3qm5XMrCVlNAhacAhkUEJX4a7WT7w/Hv/HgqXV1pvO7dt89GjjFI/Tds0C3EqcBpwGnAacBpwGngXNHAwwuYl3FCBLpN0YGhgFMxrKMGgqAiPO1MnMrwty0sSY9MIWEGjZCKjfrmqYDKLTVrEmjsoLPmrRqedS3AE5hOgukQaBFU1MtYBGJJQ1I4oFXDxlCyHMYAoDExf4cbKfzUUb4TZI5JMjUceEDyXyQQWzIw/A3jIVjko6mwFCSucO8AMEEoMlQQtLhtLJ/GEZZO/qScuwW8wo2kSojWNGx6StJnzvK20CKFMpuCqU2crNfDGavYQBNAmJbj6t6bH+1rwcWOa9Zi1m/1xA/XL8BwH5gyVHJVmof3It+XwzEWbQXvmg+esE0Ay8Zk+JilaaaDVlANNOF1bIcWSjCDLWNoDxx2Q0WL868mjsVT05MZOZCGzPn9sbb5OCithUIpONQulOXUTxfNHOljhfWqppHc6fWnItmtMzDSnPe72QZBXNJX0+WCvNyFgwb7JdhBJFnWVZhenum5caJmgTtI7VDJxqh1/Asn6rAUtwVpwHVwKmfEqcgpwGnAacBpwGnAacBp4HHUAPECDRDJDlEUDmKPIAETcQJxSr8FRswXySkIZbwwAfFJbBUc0U0JJwgWGg3K9Js5KVVL6ivYxv2p/R5bIPFa8NctN1qILAO6tDHgCdskbyhOaaZAz+Qwx4b8IVrClzwi2vMGUnTWObCJMOoH4DNKFjWDkx+QwChuURWhhM5ScfSamJKM1OWGADkNCLAMhosyFppFmB+2gVwBViMg+Vi9NxWG2vCfGQfDYNpABNVwELgw1yW9K2MI4WJ0Yuppz7ZTtt6+qKZq9WdBWg6EL76OvT0yOvGtNjMZr65bB/IxOich/dt92hKZpELkypT/8tSGQFsKgrcmPpj31RKU3+QbRssXJXOj1+Viw048E7lFPWm9Sn67DAO82gOpRiMiQGWWojOe2pGLgowHMdLhxUEISIb+0gL57KPz5mMkcScU8Mm6SSfVWtq7O9L89kMmPA1BA2qw4/3TMuNowhUVIZZtHmkTur2rTrW2zr5JcAn70HezjNX80njuorvLg04cPnddT/dapwGnAacBpwGnAa+qzRAUEkWsId8kUNJmMYCZLGU6vQhBALDppYA0wIjbtQNpGQrnng7ZbbDTl5zTqKOG3NGOSWAMR/TvAvQxnPuldleDzgUCufxFx0ZbTkHTXdNYBuYsMLPkgCVILMBkNlowP8NgHcoxIA2iDIaZHoNmOBifPux42YQVXUXACbr642OFDcQwbNxFH6IMLXFVA2smfO2uy3k2USAI6JQr6i8PEZfC/iYI5NM5rbCdXEwFF3ntos7nFBOr5pzcGwFmRxn4GNOzbpoarx/KivTAJmsJ8DMV6ow3w3JxftyCIgT0bEGZ1RQ6cnnv2Zl8Nc91DHnPZPCdZUCJSkm4SuLlwBky1eRk5IpSnYqfBEwljX+r3OLZbn/eF6OLBZPyXbuNMYjqeN6pkbTqk/2X8mXNZKyf6wwXk5kYbZLPS4jX6i50/4WOx9/sR4nWX7KUgO7/6mNrSBBTTDzf3tvQvKTeOEzoGfUSBQodQi5NrP4zCLP5s+MluQVYyV53lBNDiJCbdYLjHXKCd2Fc1ID5v/Q56ToTminAacBpwGnAacBp4HvZg1wU0wGjCxjs7oAc9mATCOS5WaZgWJ6kq914F8G4ORtbMnkmbQcxE5bEJPXCY/ASQqzW/YQZIZRZTsKYLAJBhjsAzPMScBGBpJFYRXHH9yh6zm/OM/WRY6jAAymsoE2GUgmjeAaYFiIzXgAwKoNUAsvTQPM/HJyPvRnWopaowVWqg7zWOSKzMcQfRbjQA4QfjLfWpRCtySL7WW5uHOhXJjcD5/RLUbJisuxKFnEM+ntQRbDdqISRUG01wYnRh5zCd+qND3jeByLxf7ymGMzAJBZI2tQvHbmRKDbEAL8jMBHtq1+gC2wuMzvyXu5U+nfN703ZjzbckvLAz1Pkn3rOsd7qELf1jZeXix0FpGmA8A5CZ/UYlTvAfNuxiLJwWXpkDRPDeP55L2iiSznqmCdBM6MnPuQBQvj2s5AxG1DjcM0lma5lK1Sb4KhrCCQz/YQr9k0/IOjNQ3sMz7cVnkYjdhf+LdFX1NbLgq25Ov1qABjnrJUsS4ymJcg3+U3CxFZHzbPHVMIJWDuPQnbWppvx8FG70oG5CK08z8zHHgXgCY/jW5A/u9iUqqxM9DVKSVyF842DWw9UWebZE4epwGnAacBpwGnAaeB80oDZDqY7L1fsGFVH0vggy6oEea+zCTMRpSQQeOVeO1ZqzACfQycwDfpFPNPf7GXliSjmzLRHy4zL2VN/SA5IwdiHzBsAJ/MHB9UUMYrNp4nLrKYZvi1B6jjPABM/M8UgFaYu9L0lqylXveu1ntIYxHYOf2EBXyTYPtqYCkLiKZaz4dlOVRTc9ks0masY5zF9opO+q3GA8hZuGcLXKoMRhaKp8KiLkrzV1QQ3DEtyTa0RJ3pWrz16Rq2osbqujguPtsK+6HC+n+aq1TEVise0kw3jUBIDDJDRnBhrSj7JrMANtsZVcqgcmx19w9l9O275j+kHL5p9dLgWP729pjAkqCSfrBaEHU1koWclSjW1QUziDQf8B8lGzhYuBbOG4Wf5u7xlObK3Cw2YE7bUHPfwfY7nqtOt9jnHdsMVBKwj2SSCi55aRV+l4PgMgZ5x+HPenylDH3DRBuC1gBEbeG0ZKDHRzJgkmMAyYZp1EcDbf1MJIEjmUi+SAjhxcjt+aCsAWQWkF5nEvob6zTA0gNE4u9mKMCgWjTxDslsjtFwT9ablSGCv/dD6Zb8e8uYhdt693tua8CBy3P7/jnpnQacBpwGnAacBr5rNNAGkwGXwn4hmDFmsWQTUY19KhPO24K9/7ZCf8xAzJgqtrDZRfgbXEd7jKO9sDkOY6A2TggLQtj4RoMAgAoRzFB2evppMpos+7EtN+M93XHbFt6vNiDw2hJFe3FTjToyoFyHAZiowL9yuyQJAE8G9TlVYYCbMUQvLSNoSwcLpa/nvomUZFNRiTamlHW9t/kghZOv1O6W66JPVFlVDCsMp7Pi6joMK2v0wYsAzQroBqXwdcKoFlwOtvr/7L0JsGbnWd/5fPt6960X9aKWZC3WYtnGli1sDAaceAuTBMgAFZiBEMIUkEwCcUwmJGSgUgwkFE5qaqaoSdW4ZkJVWGoSM1kMMQQbxgbbsixZS2vpbnX37dt3v/fb1/n9n/ec73739u1WSxa2ZJ339ved7V2fc76u53/+z7LvWP34uAIh0RX1z67YvFwm74BoY7eB32XTzl3ZtrtPznlF9R830ZyY1Oh81NOLbzT+i9faV6NjXXuhR5ThAy0zRZi+Kj64+LwqX+T6TpNIvvvtRZWb8/yVXQfLp0ihoiiuBdKwrJMmZxWAOUnE1vzNsJfM6KXOW8/XAsGHLq5uOwC+slGDwey6mXG8QB5fGxAsikQ3RLVt+IuSfLWEOXnH6rVmSEnTbtnz+IxW5xf9OWjw0mNR0YlrAweRaX4r+nUoenNabDuflNhvdU6ZjwbTy4MyTH2evJ+5XMWf+a2tbbtK+pkTi2P5ZqP68UYve6YLPC9Km8p+Ur4xJJCAy2+M+5isIpFAIoFEAokEEgm85iUAtrxG0ZbpnivKEbAbD/7SgNkLAXiCL+VIAOi+it6qIjU4mMoKSAE2hy0AJdfyZa6Ql5E/5aXsc01gMi4CXQOZcBKlVsq88E4K1KQt6rVvw2QFQp3XoalAKH3w8W3UmYL4yB8zBjE5xq8PGiS0jxVvtQmVtelg+6pUGMtELJUCPuSrD/W0sdMZAYhiCrCWnrKNwZatkFPzkfpjdqJ43OYzM9GoUZdjwK0NmND0pMn7NLWrBV1TqKR6FK19VNRovL4fh6vei67xCT2qD5nMDk33qUp+zuMLBfvsky0HROeubHiUWJl3qr5GibeaXH3YNOKi7pPjaB5f5U57CKyEqTzfv3DdnrKTgPo60ApCcwXz5HnAo3xIVZr4YQpYKiemcnPqmsoka5wnUut2o2M1PoqYOyY9rzP+pWsSYSSw8Us33Feb6YmSR43dbcAawhjuEo1XPqz1bsrO7mRti229uW0p8sF2WqR/4fnuLev5DXcnHqDcbdl0S2lySGFCx+6rq5c0PHOe95VnNX654Neo48eqwzzkW6woyeNm2RqjWqkAtHcIkFTwFyLxeAe3ZeZV5bN7A4bzYJvk+NUtgQRcvrrvTzK7RAKJBBIJJBJIJPC6loDApYrM+lQK2MbqnNiTrXoaRT9tlfx+hTnUDN9SgHMARCnPMgcV2OmTczKTVYRL9U1aidyEbXeIIgsro0A1jgi4FmElP4z7lPmkUogoKE+z13DWszMArIBCBBrVeA+QhbljG+vNY8Cp6xPpyh6Y0p7+8dmBqbyy0QQstN2vboGgMbuNrgMcmcgK38xOZGwuO2tzmVm70L1kT8Ngnm9ftIuYd95eOG3TGYLoZBfjKfv83ddS62UQbTQXgYAYbPjcOBfNOGrLsU74F9sxMWvX6/KVITiRUryM9+dXuSZQLPNS5bBUtN+jmGG+AOMmpu3Zy5t2z+kF/DKDOqo57Axq1gRYbgw27XjmKGaWMQCPpvRVbtqwcxd7lxmjPVrWYV1mCDiTKXdsuJv3yLHrgP3FafwDYSzPASzlZ6nASwvTAVjGfRxbqNr2+Q2TeazSysTPb3z94FYylCxH8jxY4TrHRVjSCfK+6jmRfDd5NhaJIvscfpAtxDnXumq1lRWX83gXYvcFBiXzIuz59OQkJrz4a0b3Xvcg3G5t/Q6PNz90X8y6PjH4Vrsy+V+b5DZVHlOld5GZ7GHlaKlvxwHpT7YDcD+sTnLutSWBBFy+tu5XMttEAokEEgkkEkgk8LqSgIM9Vgzu85JzcAlo4VjRR+V3eTi4jBTjESDCDBYQJOw4hJEMMAqAJbUekFXJ4jNHHsxsilA7iuTKXwyWxpXsAv6ak9kJv6YclSpiwVS3MWjBpAb/SoGrWDUXuzpeBE7hhXxcBxUo49oqL+HyRsPBwhGC+izMlIkSm7YJQIoHMALgrANamu0MIC2Pwp6yk9ljzmBebTtpewAAQABJREFUHF6x5cFVO9s8Z5pjhsBBCwBQzaMPuO0C/rTOuMRrkwzFSKnEzJQf6NxedT8Vn/DT+ooWqIBB6k9jhGv65gNDqrULYNaaRA2tkH6E1CRrOw0HZ5fwvTxOjsuFmQAgGwNyYPavwAsH/8fLBCxKs/4qQPyVKLrX5zCD7cJceoltMeMbNT4IrGu22rF+A9YZO+o1Iscq9cglcnSKlTyOj+Ui92f82VDzEgFyZjCJ3cTvstnuWbW03690fAjfj2R/zfkXOeFm04DdK5vBNHcDmXa60x4kp7e1ZueXV6wBANb8Ssw7yzO9MD8Hk1jlxQq/A84LaIpxPLiGFxn60Mu6x/5eJpKlfkNTANetzTXbwPRWPsTxc3awgxSPpkyp49tx8Hpy/NqSQPKa4LV1v5LZJhJIJJBIIJFAIoFvaAnI51LQJC4x8yPjU2z1PPKpAKaKAE17L0ZJ3CTajveyd0kti5VF0k3sMSmqKdPWPKamHSLTxkXwsI/vpsZRUR2Zsjow8zP0hpIuM9uCfArzUySav07i+kjpVp+ltMJx7p+f+lzbbrsCfsct04CXqgNLDaOIpCeWKpgayp8UEAtoubQOeFFaEtpVUmW7M33GZm0aJR2ZEGDls40v2Cd2fs9aArz8Fch7qXya+uTZ9zVE69IYKjrnZQR4dMyH83F9r+P1dE7LZ0WgCpkhK+1JDFDDeWQDODw2V3CA+/wVwvwiw1lMOlVamHNeXq85mH6886Q93z8/Apa6PkgBiiOgqeNrymie11y55kQf0K8xRsCSGv5iQTWjZY8aRctOF/qWygfWuYbv5TMvbNpuvWOLsyW/P/IHPlg0pfmIzVzB5/Bg1wfrexcvVulgI44l3xkiwgogqtSaeh56trW1aVdeuOTAUvfi5OKUvemOW/AJnSRYVopnqMx90nOQdwbzlQCWHlmZvsVejpc8YxRLVX+uxfher5zkLgPhr3c5Of8ak0ACLl9jNyyZbiKBRAKJBBIJJBL4RpbA2XYeALCntLsCj+Kays1YrnzcP+lUYIPEitUwix0vES5wVTWAh/1KayqNDyXspEBWzIpqNCnZAoj69ACUSh0SwBZBhiKAWcmKqQrjhTa0iwaPlfRsSqA1Prsft6jORMR27s051JUfX5NxZifzmDtea1gmpuoEbFmZoCkCdU1yYC6vE5yFfJ9Y+np5MH+vHUkt2vSwiq9gn8/APrn1h/aF2pfxxYPZ8kixIWVGPH7MJsXgcdADjHYBgQ4gQ639Eoxbso2WqXVJlmkAe6mIbyJMph8jKwHPMrlJTwGOZ6p5gEaH4C8FAvzgp0rHVzbrtoNp53gRANefyuXeFdscbI9f3tsfm+Peyf17ApVq/3zv/L4LozE0TLSOUYXoOJUhiE1J7J+Yc5n3Dj1NzKmlG5vqymR1khcBm7v4XmLm/OdVpirFETMqM+MnL6za5pXzHqFYEWVPHl2wO04d57czaQUAZQuf205nv6xfiblJXLGp+sFbMjEhpjQLK48JefygHhj01tl+Ai4PyOS1fLj/f+TX8kqSuScSSCSQSCCRQCKBRAKveQk0AJbjYEbgUgBoHVZPJon69CIlVeCyReASKbSpTNnS+RnLHPjonH8KbPXhOAWAVJHvmeMI+vc/tkWZrAKK1KcCAcXK8gB/zVwEag8KOQaWOl/Cl1N9er9sBdrky9kddPHVxMzV/TJVgRoaN6q4jkms1lkmKMt4f9QclQog7cSCmKcAPgVIL2+0SfFBuhNkIp/SOzNn7K7M7TYxIFIo89caLreW7Qu7j9qju497KpK4Q40zPlYfxrPbWrduc8167U2f+/i9CO1CG28bdaQlaO7+AUzms/uDwEgacrlbmCnY0kzeTTFLUVRfMYKXVnfsltwx70334WC53Fu21f76wdM3dXwJP9RL+Fgq/UtcRmNcO1RchS0vFfC37JKSJJaB3itMA5DHZTbWYLQrtlamsXq5sbJed9Pg0cV9O0GW+/m+fRVueCAQe2R20uvI71LRY5XLVMDy9NElO7Z0FBY7vEQpl8v+LNdqsKnxQ33D3l/aRQXakjg1j/Gi35KC+9QaPfxCW+OX9u1P1/e323cxOXhNSSABl6+p25VMNpFAIoFEAokEEgl8Y0tAeS7HdX6ZhApgyqxuu971T2wKKCVZ6UuypWOARkxCAW/+wX8yve8D8BT41HVSj8RF7Fo2AkLxoAJIFQBiF/NWKeo9zGQ7HUxl0X09KI431gwDMDgINCYyFQw5gymlV2WOmmcxU3RwKkDsyj1bafsCLl0YRvlSKshKCcCwv4Rx4nMKjHPLGMDsYkd8FTZwYzdEsNV8ZHb75uK99q3lh2kmgaY8qqz8GZ8aPOvHcX/aOlCk2qC1ypoDY9vv7NiAIEdhpVFt+uHfdUssiy4gV/tdZNeGKWt3YEORpV4bTFaY/zz+pFNVryNZnF/ZskxLkVWv3/lqf83W+5v7xlbb+LPvQnTwTPc5AgTt7rs0GuP6Q8HcZqy1UrH2asUG+Lf6TaIXMW/bmMXeTJHJaok8nqq/ewP28kbyvJlxlvD7jIseKZWTx4/a4vyS+xiHM/glAy4V2KrV5gUCrPyfR1Eu0G4XJv0AQ5nNE5OZXJoXVxvW5lk/rPzFE9cxJz+scnLuVS2BBFy+qm9PMrlEAokEEgkkEkgk8PqSwFyGKJ2xNs/SBSyzmFDKz+2e0zP+GQ+Skic4iXRqKdYCbgIxAoUxiIvBh7ahsB3tB/ZSwU6k5CutgkoK9rRE0B4VtRIg6eLPVm/X3bRQAXz06Qy7fABQRItt9Jukf9jms0v3+xVogdiq8v+xlvGxnXmFfVQk0h5Kd5UgPNdE1RwHQRESmaoW7NajE57mQX0qmMr6bheQCazV0NTLYP6b5fNw+a1WSgVAPUuakvuKd++bg9ao0gNYOqPrZr3hXL+7Q07OjXDA9/hURiev2dEaw0mfLvsKGiMZ6LxyIs5MVezOU/OYyQZg1EK2T11ct9zw2uA30ZJpOrQr/RXbup6JbDQP1VNgoAvdi/vYSl0eAcuo7sHNsJ+2HrktW5cmYC2ZC8+Bnq8jc2VPpaLHZo08lvJ5fbEiJu8Iz6xHNd4RuI6EcqDhi83pQPXRoZ5n+ayuESxn/L6kpo/YqWNzDtxHlaOdiYlJf0EigPnVlr3f015P/lsFYB7GXlbKRWsjt9Z1ZIeY7SS/qfTYb3Ov52TvtSSBg6/HXktzT+aaSCCRQCKBRAKJBBIJfINJ4Hiub+jloyImUUzluHKex5xVReBMuQa1VZNY4fUt7ca68frOrMXnpcRG+zKPdbIRPCFwOgAclmH/avjryZwV7pRzfat38FvMwPoIWxDe0qOaokz7ePSXAZil+SjibOAkqQemUiTaEua28fw03zpM7E6tQzqVLswe6U1KeZuawFz34KTjeTJXB6baUmQie+pI1VY3G7CepEJBDhv4+InJXJwhwFAuZO2spMt2X+Eu2+hv2Zn8Ke/joHwkl1xpiTlzuSfGtgt7t221VMue6l/Ej/MYALVkR9JHHIRr/IN9+Dl9eS++Y1kCBym3ZnxKwDKbQTbIuJxP26nFac/P2O337QLs5QNEM+1W97OT6ilmRDU/mblOk99T+/H9025crsJwiuW8thwQrHdALZ0GRPYbWevuEHiI7RA2XD6E05i2KjiPUoqsA+Ka+DWKZV5Zb9gpwL2ezRuVWfJcrpRatsV9np/u+z27pr6Pf83ZG56Q7Gutjj39wrqdQ27xUtRomkcoT5+H8atiL3d3d63RaDiTOZ6b8oYDHriolxmKMizz24Mlx++h08VMmzpxTlrNF+tnn6deJEx5YKq9lhuNNL7TKTvFD2uDlCT1Ahz3jUW71zjZe9VJIAGXr7pbkkwokUAigUQCiQQSCSQSGAEKNGcBtXE9PieagyKlVUquSKFxQOq8oU6OK6gCaZQYEIwDTe0rTYllAKvUE0hUmUiT/xKQlRFY5LxyOfbJZ6k0C8FfEwBHmooU81H7Cma3G93Nfb6Z8IdRdFjNl6ieAJR12K8dQGUXmlGmkyeWqqQbyXuQG1XymTKn8elrPrFM/DzXy4U0JrIT+GmSwmO96ayQTDDR68nJmLMK11WU91IfFa0j7PCtjsYE64fK/2klQHTKnug/Zi0ieT5HFFdii7LOlC2l9/JnaqKfbX7Bo9GqM58X8rg/d1dYg3ePbAUqAfCSkTPL0RyWYAQvrZcI9hIixl5Y3rK5W7kNN9JOGfMC6UROZG+h9/1FZr8bB0xnVeNaSfpJbzzsAYY2i9av4SOJNbOmJp/WY+SwFEMssKQyUc57MCXlldyAaRbolInyjYqYvKOzRfJ57tg2bSrFkLpmvI1kFt2R8dP79kf3LDq7udu0Lz+/YqvbIUiO5sjPwH8L/TrgvK8UNNcCPz0/1WqViLJbgP42uSj3TGrjATUXmbYKXMfgML4WtnqhQ6Cj8R/cWAU9TnFwn7TqINBmo267tV3b7FXsPHMrbAWZxs2avKzp9oPvdBe7+ARYxpJ5bW5v9PN9ba4omXUigUQCiQQSCSQSSCTwDSMBgZE+yqybVUarGmdMZIIn5VtRSaU8az+orpjICilEJVbQ+zpHPaXsUInBpp/DLFZpOtSPImtmOFYQnvZAKUJghIhyqqK+FDxHoMnHpr6ixBbSeQefucwe6OhhOit4U0ODvkoOSyW7F+5V9NdTgEqxW1LifTZj86VjPzcClFpbGFzflABL1HaBfIfKwfj8lV3m3bU6APMyMjs6l3dT21CfMUkVEvdBd16iTVxltC1lJu10+lZ7qnfW19iBVXqy95R9qfskx5HZ76gPSRwwwqfRbdp/6f7xCDG9u/w2wIKY5XBvdD/josA3R2YnkEnTmdfajtlsA+pt8lreLZ63pLLT37VLw8t2PHfUx9U1sZXjwHIEKOMFegfRyDoHghk08UFcLeNbGp6YDObXc1MF0ndMuCl2VNs3YoJnJnIwzkgC9C6AWSGq7+j5Ga88tl8tF3gJkLMVAjYtzUZ5MRk/nlZ8f/UcjU8x7iI+r63GXdms2RfPLhP5N/j1TtD/g7cfsSfOrzrY3Km3uf/IL6t0N9eWIlFjxSDvwGAeBi41Lz0bemlzGLNJfCgvhwPPcE2mwJpvvd60Wq3GMwEjWZyw5aPzvIig86iPUDv6vhYL77ucHLx2JJCAy9fOvUpmmkggkUAigUQCiQRedxJQZNieFN0xskPALC5SgqWqu5KOVhyDRim3Amj6CGS6aa0aHdDg1dq7pk58SVulKpGWnenD2MGqKHeko0KuSQGPfQjZpdCCk5pDGRNYmdWqDND/2+2UPbu2A3MTgqhUYcBmMH9VNFGl41DxcTXXw4o0/fESHYez4VstxaLdfnzSltfqbobZxjTx4mob8Fa0qbJ8SkP/3uJgn+P9x/tUPJY6amvpdVsbrAOcc0ShvdPm84f787m8afvZ3hdtrR/7aQ7tM80/s3vLd9JXKZgcq3/WKlDW67ZtfrJo0xXYy+2atUjFcvVq35YqaYBNPBHJh7n7v7DVFfleZvqkPqFf+b9e7a+OGjiwDKIZnfObpiOBSoL0dLcK1qsRCZZbJaBUIcXLEj6SM7CV7hu719L3dG+nCNKzStRimcdu7bZtjrmP+//GTSQLyV9AVOzi1a1dgvp0bLtRA2gGhjoL2x1MSAeYRQ/wnQx+qZKLntXQh4JYKSBQm4BWbWe9G7w4CM8zPp1zE3b/mSMeBGqyUvOxNAelJSlfS5L69MQgF0slN49ttVoE2rkWhIp51JwGMPnjstATpN+bWMsYFHunfOmazJ3lUylT6CaBnOq8+NnJFW2bydTZDm7muYs7TLavWQkk4PI1e+uSiScSSCSQSCCRQCKBbywJKDSPY4oxJdRTbAAwx5XcAv56wg6u7HoEmwDsXBpRWym/ApqqEwcJEZTTscBNDIbEIgYoKBaTa2qnOirUk6I/kSZvJCd7vY4zpMofqWFwFeTckBx9HKQHmMTWrYOCLRzXbA5st07QFfJQYrTofmazkwXYrhxBYvaQss8njLbvOyjvYS4HFfnR/KIWfsyEyphzniAHo8xkl/ELlPni8ga5DXsApxlAxPja9o22d6D5eH+R7G5JH7f14YbdnbnL5tKz14CKvZaSRY+AQXfald6qLXev2mZ/2+7l+Fj+yEjevnJk6mleaJzLDmFeK7CXDQ8EU9sa2lRtaJWpiKnVHdM/v2caLUhMMll3EKvZhnO66uWggKLTQ4BlD1DZ3cUE1tlKAjcVMgFUwiBfE0wpahdvVHeWFwOXAG8Cj9uw0PJ9je+P/AnXtuvOTm+TdmO7IT/NnoNB9SHwDPSLu3M5p3jo9Le8QcRc5KLnXBGSxbDLd1GfcQZejfXs3Xp01t5wYs5BsZY/DfAV89rn96DcmtcDl5prCXBZr5NfFPZS+S/j+ccT0xz00bjhlxauSKwHpU0VB5wd1tYGrDZbTUBpyi4TNXkHs9t2FhAfBcqK+0+239gSSMDlN/b9TVaXSCCRQCKBRAKJBF4zEsinlEtSAXT20IECg0h5luIdF+X3k0IswBHMYqnPcdyK6kIjXsfP0Vbb+Lxfjurs9aouQg/ed3Rd/WicMqlEaoKh7BNWFR86lPgaJrsAzBTzDrZ+isKp68wN1CpSdQZ2S1FD5ccn0DBefD7RiXhsP4zXEm/HG91gX30IIB2ZrWAmm7Fzy7sAywE+jaQD6Q7tzLFoDof0G4Ntda95xTOdTc/Yw+mHrEDE2X1zPGQeYrWAR3Y0u+TA8u2FB22+OOvyU3W19z7YajyxdPyzRUxRl/G93CQHY7cztM0VAv5MhTsjOforgkhY43MLUxiX4iGTik71GjnrrJPrkYAxfgs5P8u4xxeqMH9iduMVX78PzXduqmQrG01/7hRASaauktg5/EWfvbLhJqmxWej1ewpXNHOtT+37MIUvVgT4pgkutDQzYXefWhiZ7jbwc12GhXVQyvNYh+W8USnCngpUirmU+XepKD/b/UVsrgfl4TaMi0Zz0PoUYEvXO6Q1abcB0c0mLwrMjpDL9Pca89YuZxOmcr9IXzdHCbh83dzqZKGJBBIJJBJIJJBI4NUtgRLAssgH78bRRIPZa2SGGp3N5+AKpfGCErrYngp8DPCBFNDUNQcjUd0R5KS+m8yydYDiCCNcvR6wEADSR9dzmIWm2zlPRbEDqJQ5pUBuubgHXHVOincTv0flrDx9hHQhLxL0RdPcB2s0Tz8Zz1xHewBqX13VO6QIAMxMlnwO51dqVm9gkgnL9uT5vp0myqnYtnEfVnWhNTrAlFwOFAHLFy20jxG85vjGwhuCaXHU0GUcrU37qi5PzB6RaYvI8MTiJKle2oAVouiuwV4uDKwyfdhq/e6FXsd2981v7LxyVvZ2824GO8S8WbIpF3P4o5ZsHqD4UovY4aWZEibHNdvcbdifPtW0jZ26m8CqL61NqXPkFzyBqe3MZHlkavvsJZxKWfU0prd6RsVKynRWJrMuj+h5E970e0HtLC9GZibKDmrnuKez1ZIzlBorLs/vEnCqSsCkdQHyPia0+IXCInsU5LjSgW25XAIQNgi203RfXL8/Y3X0Mkd5XePnP74k+YkR19xbsJTNZt2Zeclyfrpo//aJCWufGLNpjhsm29eNBBJw+bq51clCEwkkEkgkkEggkcCrWwLzmYbNZZRMfQxcyuwVjIFOO1K4PZIlJ3RJDIrwUIYQo/LTU0RXpbZQCdBEUS9lbojiLdDhBdaM+iPoIrAzusKOOoxBFtekYAs0iqnc3h44KzhNNFYp+wpcK0U8AKaUdZjUsxcBEbQ7zB8vGoZUH7saCDNbgFsm+Hf6HDRer2bpbOQ0p5PRvOM5xn3caKu6Gv+2Y/LDrNkauRZltik280gErMTEXVN0Ll57dPEgwDjYRtPzQD1j7VKYQqrdxe6y3ULgnVg+o7aM0wdYXu5dsYXsvLOXK5tl909Uu43loRUr3Ds01fjuaByH8odMe9RvdCeVs3JAWpHOFr5++FhqagJ8CwCgeQIgia18OcWZ8tSAFDINa+BXKDNUFclS/rQnSK8yidynJ0pusrpPxsOMXcInVmbASzMhuM/6jiL9NvxFhJ7lHs9u+IR+K8WCR6odZ+7H590BMF/tZu1MeWiP60dC6QIsc6kOc8pgXrtfWF2YRuW5FNMombQ7ClBE/exeECr1ocdAn4OmsQKXupf6nQmcyn9YJtcD1sZSrHocH9JDItWqz6S8PiSQgMvXx31OVplIIJFAIoFEAokEXpMSEKiTMitAGRftSclVEbM5zlRmUZKVKkQKtkc1pZrqxAyoa9S0S7kJJxf9X7QFEEmJF7jxjwbQPpsO6Rm26z3YuIzdCmDLEz00I+07Qn6qoyMxTYosKr83H4s66isUQGpbORg5pwBBOGdmclMAyaKvUXUEOod8+lzXeYHMocYZ9RF6utG3qraJJtrAN1ABVrL4eCpQzSZmnAKYF6/WARV9Zwvj+Xt/jON+qj7e/hHC8OFe7L8SjgYRy6Ujv18g/c83HiWK6wbAY2CnCreMminSrmTypdZXrJqpklO0ZCneJywC+raIHNsGADXA3o3toU3MS6p8wj/2Y0mru1iu2g9FtQcdQOUG6UWIBiu2UkVLOr5QtoWp8ujZ8Qs3+aX5buJHee7KFmBwx4P6xKOLwb7t+JwdJ8COfB+vV2RCu0rUWOUlnRWzTGoXgU89MxUiysbP9PXaH3b+wk6GHKkDm6avGIAOyamSS3dsApC7jjmwilhI+VnW+GhfJQaKMXj3k2Nfmhs/E15+jJ1kV89+W88VAX/c5JvfRL0tM2e/TfsrJ0evOwkk4PJ1d8uTBScSSCSQSCCRQCKB144EFClW0Sn3Kd4ovXuKdGAux1cklrKQD+xnC3bJiyOBGA4ASwCtfaXI0CkhD5ToIVFHO4AIpSOJi1/mQGalTRRqmVPKrFLANYItcVW2UtOHbhbppoOYDwpoxkVtHFTqRKSID3q7AVzi0znoNwCWMp3U/Fr44bWoh2afBnz62Wu/4mU1mNsW6TE0x2abqJ0EWBEwV0RSAUMxbjmYO4Etze3yWgMQN7Bbj0zC7O6tJF6vBnSADfMl8XDk/WhP4DEu8fgywdRHbbqAxy81H7PL3RWv9uX2k1Yliu58Fv9L/h5rPW0XWhetki7bG3K3aiDOClwWAF4lgtsQBAd/vrXL3Ity2opxOkYfli8fVF1L2qMDjlgbOSvFVmqdmmYeanmymuP+dRzULc1UfE43+6Xexco+dWHdnl3ecJPn8bYVfBcX8YE8c2TWgwONXzu4rxcki7B8LwDua5gqz+KPq6L783KKmj0DgH77Usdy5OuMX8DoXitVSQ7wN1+BHd4EGG9uOmOpe6cIsbpXuwT0iQHmYePrmtIAaX5jt9zb6CVOo0HeVtZRyhMJmDqaD1lgD+sqOfc6kkACLl9HNztZaiKBRAKJBBIJJBJ4rUlAIEPMznj6Aym6MnVVkdmezAmvV4qkFBFT08WM77DiLce0+2AeyADCMIDB2OzR0Sfqcw4gNsDPk8uucUtZDyBMPXEe1lTnYt/LQm7PX7HXvOwASI29PYo4RKKtXl0HQE3bRFYpPDA5BBg1u+TGbAkgbcKQwnAWpgAvOU85IkZJgXrETCqn5SZpMZTfUrk+BQh0vQCbpqK5qQhkes5Q9rnsgGFjh5ybgx0izO4PahO3iSsqymo859E173XvS6MoFUUHU9dHmo9zYLaUWWDL3LhVm71tm81M2zOdc3axdxksP7CHim8ezU89Sbaz+BduCiRjrtkisOry8307doYcouPukRJeWBbTkvy5J4Asgco+prCSv9aryK5LUXCj55a3bYM0Ilu8JJDP44sVrbOOTK+s1+z8yibAVObaoYS+FaRJLwQ0mbTt1EnrkY/yWMYVD9l6OhMCLC0TFGiadDRfTblSy5BWhEixmQHpWADh5DolTrG/SKg3ulYrKmVKy9lSPQYClDl8kmUa28Y0Ns8LGOU+Peh/G89JclQR6y8/0vGiNgKYV1lLmoiwA4VT5qYQWygpr3MJJODydf4AJMtPJJBIIJFAIoFEAq8WCRymlwqkyawzPZbOQH53cY5IB0xKKHmDksZEU2q3WC4FOgkFbTsCKDrWbh5l2cGin5D/G+DSQWnK04eIGRKYmyJ4iuppvtp6qogIxBUJ+CI9XHq52MQQvMWxWRgkUKXuC7fTSNt6HdAHOOrBIh2bSQOCyeHYDD6CMjvUGOJIh01MZfFrm5sOvnxrWw3PZynwWy4M8XsrYB6pdBQZH19LEIL0ufmB2EsAE/OvtTCRZCvZipFlWZ7CRBFmY0AhcKWxRya5zDHCmAEQRusPwyBZ6uvD6u2tpfuRWwNWGL+8/q59JbVuTzWesUavaRf6lwDBKbuzdPuoTXwbNPY86Vp26hOk8ahjhgzIhMi9/EzfjgIwi6PcjcxMk6MMOphA7+StT9CewFYqHyVsIr6VAm8C2ioKOCNwub7dHAF0nY/Xq33NQ7UbgMqVjbqDyo3dANZ0XV3NEFDn9JFpzzEpU2kF6RlwDxQ5dvom0pkoR+tUBVC22WSdHXX7sgq30q4QrOgN5fA8C/wpIrGKnolL5FbdafTYJ9IxgYU45WymQGUJ5lLpSAQuBTjHZTA+Ga1XrLZe8MSmsfHLHAH6Qr4I+7mFiXCHwFUFPKWpy0uRpLy+JZCAy9f3/U9Wn0ggkUAigUQCiQReFRLAeJN0FyixERjQpMAqDoACa7k3TYGTnKL3qA4fgabxMjoa25EfppCDb6kcq8BeRQOpaGz2/Rr7OgyKd2DCFBBmG4V9kfFy+LhFFUZ9+THdqJ6U/Y3dLn5vXQLrYC7qAwiAOdcGiEzb5e2MzZT7Nlcl8M1mxi6sZWhrNoUP3WxFY4wW4NFpt5t9/P0EGDGfhU2aKA5o27dSDmYJBio7Zs7rw/EV+5qqpxQmwguYZc5x0Gr3ASBE+wRIbcB8tsnXeWsUSXYf2JBsxu5J3K/kFM8uBpbhGubGravIBDTD/SzwUmACOosAsHa+/YJBsNndhdvttvxp1iAATwAbALz6Uj8CMzlMWe8+MW/PXF4nEBFzrMFgPgfAvB2AWQ6gXg26AMrOZglTYrGXgZ09Oof5LdFc9fLB72PU7yTBdib4bNe7tgurN1UJps8aU+Wz3T+zt2beYlc2d+3sxQ3Y0z1Qqeua05ljs3bm6AyBevCPRCYDQP0k/WwSLEnmoQKLC4D/GxUxywK/a9stT2kiM9mXU8QjTus5yUUsOsfxCxitqEZ+zQWCTil40xb3d22r5azl3Oysg8rrsZUH5yJpC6zKd1fyVN96PuR7XIRObrUbntLk6GwA8u1GLPWDPSXHrxcJJODy9XKnk3UmEkgkkEggkUAigVexBKSSVtKxH2OYqBR/MS9iLseLsE4WZd8LdQRQ4uJQIQIM8bmw5Qr/9lRf7e0Byeu3Uy2BngBeGijt9WbPo2R6v94wUrp93KH70rWxd13ZbNnZS9vOxs1PYX6I6WA6AtBkcsCU0ACIREXNDe3EDCk4WhmbLuMbGS1t3/w5N1cl1UoWHzfA5A7s5mRJCj8TSOcJDDTh4ExAcG+NEE6YL0qODOXnxcTmAKFKkVK+JWcXVupuKlpvYqq5lrKT+GDmkbcAhNrF231zGTuIwZnm4WbEzWVnJsMcBPA0sopyhZZtqTBvt+dv9TP+koBxxJ61ybfo89S9ZFz5td5/2xF75JllwC8MJgBzxU1k8xihpq23XbBeTb6vwUR6ApB3itQvYgZV/O5ycfy+nsT894nzm4DAtuVKpNIgrukjvS8BcqmNWe3nVy7ji7qDz2g8Z54zQOriTNXecHzWt9559CWAuQiYFPsrFngdM+M53WfO36gI6Gp9uwDSYl4pP2CQmdON2okx1BguI6bXhuLm52LL0fkWLKrMieNSLqQJPDXBYcojBBdgKxcX5v04rnMzWy1FMhR7GV46DGE+xXaqdcoq5bLt7GySUqXLMwV7fDOdvow6s5j+Plhs22dqRWu9iHxfRvdJk1dQAgm4fAWFmXSVSCCRQCKBRAKJBBIJvDwJZEnvcCSr9Bx7TI4U6i5KbTG/X1nHeHNkFitlVkq3Sgx0RlvO7W/p1aKvPTVYe96G8aRAy3cxFIdu0b6YITGfCi5EvzBy3V4naicFnF7CPwBJxo7OVzzAi3zSVmGNtmDCqijlU7CN5TzmqfhTCsNgUQjANAL/mC3AQr1YqcKWaaBpzCHjMQUng65/YLWREq6zglxFHPRagDjPX8gicoC6Y/NlB1Ni3rYIelOFKVwk6I3WOgKW6gfZqIzLNj6negPSpwwIRiT5SDZel686prEXhpt2JL9ob6k+MOrHK/AVAAtzg3ntAHxTMltmON1TmbLef2bJvvjMipvI1rfNrp7NwAQXLJsigBDAT76lMoFVcBwPaBPNMzYH1nz3xgC8V/MOAp+rfMV62ZZ1a/hqrsO6bU7aRmsrnpYDvXkiy55amrZjC5NWiF9mjGqEHfUnJlLspUCrWMI4UM+BqqNDyUhstupfJXqsgNvZi12fvyLPHlaC9IO8dD8FLrXF8JW0I0rDk2ZtJZheUDilxdsL+SLLfFrM/tSUAhmpxc0VN3+lnYCvbn8cGEo/teix8o5kXtts1GybdVcBzPfi5/loay8g1s2N9uK13kC/d/AyJTNs2Wc3CrZNbtSkvDolcPgT/OqcazKrRAKJBBIJJBJIJJBI4BtUAnge2mJmndUdH61QAEN+j3E00/hCrOzGx4p+KhDhCri2/tHV6FxckYaHqdejtnE9UYoUTzWi1Cbs7yhACoylgMQcivoIWKqiOmVwjwZL2w4fAZoZUGMJhXtja9eB22YdQEFcmDzmrhA9bA22R2Npzuro5kpc1VfD2AHw7inbsRy8NwlLH4rSjIgd2wtUBAuFHa4i4D6P2aNkvUzORQUOis1G1dbTk9A+Hndf/zqvfrOk+FC+Tu7joLPJNpSnBqu2SB7Le0t3qaLX1RUHfOpb+3yAMB6lN50WUMKMc1tgSwxqxpampwjw0ycdTBeWkFQl7J85OgcwFoDPjXJWah4qo60fhWONp3Fm8elUUJ/hahUfUAIqrec9Dya2tVFt7kmlYCcXpvBDnR6ZwI4uHthRvwK3YiF7PIfLGw3Pdyn297AiE1MBSrGcmq7uR5aIwsq/OcG4AnGHFb+Dsbw40DOvstK7CtBmDvlp1tXElDi0VrRgmfbqxUahkOdzc8GDBEj1u9M8I3F6h1pnFlNwyV6AM/5NemRmwvlu4DOcYx0PTfOiID20zzVubrww22u/S7y4qXSblmYSGQJrLRAYqknU5DNEDq4yv99uxSGEr22bnPn6SiABl19f+SejJxJIJJBIIJFAIoFEAteRgNgTAYU2LMwagVjiIrUa3TcCJSFQSQx4VF9Bflz1Zn9fQUHeU90BG66xC9hQqOuAR+2jRrqciVi4NXITqt6JxWpg/tS3TkR9qH18ysENB0qDUsIv7fjirC1Nrnjuy9VdJZsXazi007NdGDEfPRpxb7Ova53mRDxfDRmC64TVhCixYT8ee1SZur4uts7mxZ1w/JQ9bvPDRTtSOW63LAzI4bjr4OE823tOzbg5so8V96E1ap+PtvE+u5zEVDKjkC4AJoBmH4A57DbsoerbqUdN/Rtr720ksGg+2gj+KXXIicWyXVxp2LOXxWSrDDEJrtoaAEb5S1tEkl3b3sEMtooZ7Ni6VVN9jpex9eq0cm6u7uxwL1R3P0ARE3piccruPrVAkCSCO1E/lt14lwf3K6U8TGTeI7PWeAkhoDkXpRmJ6wq0KeKsTKXl51rIZe300UkHf2IhFf13BOjjRjfYFiLz34ods+c65+2KXbRidmrUQuDz+eUdni/Mn0tlwOBhttaj6iNAqXnqZYXS1gj4eo5YwKSCF2UwH5bVcirVp789CFGpVJBlzy6t1mFwO1aenLRcP29d/Gdfain2SdFCFKc5PhnuZYb7y0xsHZ9g+anqhYL8WlOkQZH/blJefRLYezJefXNLZpRIIJFAIoFEAokEEgm8DiWwOdgKgAQtZVBs2ZV6w1brBBBJBZNZwQdFO3VgggIqxgjt1oGFAJQAQax3ioURU+eF82LIhDdiwCP1V0r0yBSW9lykUEP9UGGLQC07sF2LBIqR2WKnS+5Mr+a9hfrUzSkaD+cFkjSGvtrkqlS02gys3kSxh+kgAWzIA6n0IoeVaGi/tFcj7HkwIPVLaWMQSaZKRkrbUvFEOKlvHzgchimEBgJdzjLhb3lpcN52Utu+7ozMPQEMCoLTgpUSq6YUJ+dXdomKOsG89/tfqmcHcIwjRnNf4VhnJP9MftY/XpeT11RVPT6jvqL9K0RRFXvq9zTqS0BtCvPTVqdqj5+/6uakq9t1+/KzV/HLXHJ2kaqhL+1EJRJVfOhbzU8vH8bnI7ZwqlK0O27hJQA5K+NIxGrg9ejosL68Q75UX2lPZFosMCYQpOBBWR4emacGc9ku8+969OCTvKCYwOeVqp5/s94cwMzGrzTiXm9uq2eNWfoLke30JqA14y9j1LqOzXUZIFYFmL9Y0X3QWhWMSuAyLgLc/ogAMAVYUzy3fdKvaF/X9LjpuZqYmCZQUInclzXrbWzaHbm2nYdNbQNue9ELmrjP8a2Yyeywb0WYyqn2rs30SOlCp3OzpMfB/Lk7xMeW/vVSocbLhRdWFSW5bfODtG1iknujvsfHSfa/dhJIwOXXTtbJSIkEEgkkEkgkkEggkcBNSOCx/lesMwxpGtKzADYUyUIqh9nsbTaZUpASswtX8b+DvZJCHMDCHrDRdQEf92CU9otyK+XZVWYdUxzUaCecDCjCrwkYqi9tUaJRqi+S9F7RQmfxwVOOS7XtK/0JYzs4827wO9RktK8++ZJvo4LVaH6WruJbt8MxkWRBvqFmmLM38hPRcbjop8e/NK9zg3UHljXr2AZRYxUh9N7epJ3IypyYhvE61dAnEnrQWpSGRYp6DoZR0XY1Xce4zFdTXgBgNgCYu4DpDXwIy/iILs1g7grYUPt9xRvvnRu/PpLteANV1Xg6R19xS8mmD/hXGhiZHStdiEwyBVzKpRxBi7J2hFyVnhJjSERc2LBHnl2BHWzbpXXSgDCP+84sur/f+HC+PzZOfG1uomRvecMx++wTF3lJ0HcT2NuIAntkdmIEUuO6Ptt4otHJQ9fGNZm0FgshamwdkLm22XA2cBsmU76gk6QfuWWxAiOadXl6dwhf6xGAFyP+1RaZrRZhXMX0q/R4RnW/b6aIsVQ5eJvjtuEZUCCt8LJB9Tv0r/lrDN3/IkGDlN6k12lalhdCVrtqm+T+3CpMOMjcH67LTKavVUxfq+26zaR6Nklwo3xlgj4KyCTrv98Y52aI9lzmWgkWtlbftRO9dSsM2C9NWC3FmHHFeMLJ9usmgQRcft1EnwycSCCRQCKBRAKJBBIJxBIgpaOzLwdV4UE2+MLhaWcrufM2l3ojOSuDn50YRzgo0miEXH9ScB3DADjEOsoQsC8QpKK6gD2BlBg4xhBPfaAeBybO+wj9qL8mbFOLyK+LgCwF5OmgEIcSmErNQYDDAWQYJoAnzvdhKHVNies19jA3Y73uBnNgZppWNLXQH3P243irzsIVbf6k/4yfqBtpOziRyuRgP0OOwtnMLNfizlwC3jBq7vtd/BXFqknxS6PEq3OmSLOwVlUqAByOzhKghYi4isC7Aosok09Flo2Lyzhas85dD2zF9eOtz8UH5Iy2LFZtu0pDwrbRI83KWstzg4odvu04ppUA8fP2vH1hSCSfcIttMDEEHN5ln3/6spufLm/oBcOQwD+LPleNF6873sZziNe8OF2xt77huD363Cq+m7N265GpPcC3V5k9ZBrsj/3s+FrHpa2LBcw35/DnFHupFxKX1upuKrswVfD8l2JH9ayMFx0KnE0T6VYBfr7aIoKwjH/ldi1EjRXbNz7nG/WvmSnwTw/Am8vtn6fa6dlRX7G5LLv+zKvNkHG0PoFkAc18sWLT5MCc7u7a6nbNJklXsl4iYFJx0hSYt8Q9nxZL2apZCf/MRVjfdGEmvPDAx/awIn9gfzHCs5HHQqDValmmxiuWrZpNE4BqO1+1Rzo3TgNzWL/JuVdeAl/9k/zKzynpMZFAIoFEAokEEgkkEnidSWAyC68Ra+zXWXsPYHU287jd1rsH9i8osmi9+LB1rMNWfmyOsVBgXT1Ge8/SqbpVXsgex1KQ95R8AU1djL64rnYCUF4YQ0FldF3EiKKZqh9dF2BU8b59L4C1eFz1VCACqlJstFpE9KR+Og3ITE9aCgZTTJAP632wx7y8r9GXOg11BAUfytwezTtl/3n4NCAxZ28p3WcLWQHLsaIJxB1H69Cc5Wuoxa3C+FzoXbYhoEYVi2kitEZz0VIFJI8vlOzClbrnNrx4tWZ3npxBDmNjjO1KFvFwftoP+NLY0f5InmPtdF33Qh+RZlc22wRNIjUH9/CWeaK3giYvdy7ZpfQlOb5GY0hG5JacIk0JUWS/BINZa3ZoW7PseRjcWxedGRwfRvsHx9fxsfkJAt50eXbI4QjTJ0bx8MLkwr/RZc05FObFMgV8BCplDuvL5npabCSpT6qwrzcqmotMt2VmKvPacZPUG7W73rVuFsYwKpqX2GrN96AM4jqjLevQ/ddcoDwdLMbXtNqOm+3yIof8qDGQDGAyrF/zF9B0EM3z5PlkC9O2MN+3qcaWTe6s21KDlCU5TJy7mL4y1ixBjFK56r7fkjOi3I/i2P1QACHNq+AvRTRPWG1SoChI0S4As7axS27Ylr0DX88v9wnUhDPmQDfiZZaT5HjZ5GVGh3XI8DwpL00C1/slvbRektqJBBIJJBJIJJBIIJFAIoGvQgIzgMsxkuiGPX158KhVU8dHIFERLGXiWMAEVUjA1cFYuUQRFS4ast2vYAuwCDWMBfChTVxHPpjqR+aZ2unCrImJ1Dnvn28NEeMM3+eaTobr6lvXpZpLOe+EiJ2il4iI6o6OqqjrXs834ZgepBy3YXV2CJ5SRTBZPiU+GkcjHM8u2nxmRl1fU8Qy+RyisQcRg6qKM+lpm7VpH1amqFLUvaiuOqcsTJcBliGq6S7pMl64uoPZJv6XY4BYcorXFlpF84/m5x35hfiqn/EvlwjjaZ7CMhuAvHXMYcXizU1l8WvNYBI5sO1hCOjj9SWkqHy2+6f2xuk32htPL9qXn19xH1GZyIqV1rmSwvBGJb6f8fH49uhcmaA3uzCg3RuAy/EWuj3RbNg0YLQb+DWuAozFbstfUWlINogEK7C1imlspTgVi3V/RxxJMhK/ckSevbjtzOeR2TL1r5XZNY2vcyIfATBd1lw7YszZvlif3Arq6RHg9wCY63AQfCqDf2XoI+qT31oa4Krrkrm2AoVqr3Xr5U0MkvV8FSr4suZbMKoNLA+GVsEHNAOzmYF9Dz7Ro0fPjwVa46I+BZIdeI/JhdOMQWqZqSmAaMHqjYYN1rftoeKOPZWasRrnNp2n35PlnYUu60rZ85295yMeJ95OkxLpjiy+0eSe3YVmfa6ftcv4mHbGxo7rJtvDJXB96R5ePzmbSCCRQCKBRAKJBBIJJBJ4xSVwT4EgOZSLg0vWI/LkYaXRb1sBhbQEu7WVWQWABRM6Jb3vEHETVBGaRYqgFGpXqtFQfT+KmClFWcppCkVziLKbFhjbpzzGABEFNjrv5n8o0DHLJ2ga4IG2ocRqrJ+JxujiS3au84KdLpy0vM8Dc1bMY4dd0nUQyERFs4nbyD90B9+5Hp11+BCk09YBWjmA3Rx+m5U0kTKxeowg9DXAwecAS9kFVMRr0noPFtWTSWoWgCl/tn3Lp/4SwKsNUFDexquYx5YAfEv4PsZFPar/0HU8f52Ma8TbvRMaQ/UlO5kty2xzp94FjAVT49mJggfukYzVSpF6ZUYZ9+Cj0B6jXVsZLtud83dxf8y+9FwAmBeubjtYFYNZwfdwf1EvGjz0rflPkFamTMAorW8Jf1NfjxrpYvhiG7XTKYrqiGH1vJaNnuebVDoU+VN6EB+esVZni4BTHU83Mjfd3WdWHHrZ+5bPrNpXixmvP40MxsHxXs2b2yNe077S5Xchk+3RS4R9V/cOtErdHwFkFbGFAorx6gUiJRK9DNBO8LmkXx5hZ/c5K9ZSfQQmVqA2mP3KlDZDsJ+ZGaUniX6T7KkPBW7Ke8RfXqhwrI/6iYub43IwDjh1zVOl8NtQ+pPY11Opahr1uh2HnU+lJ2yjMmlPRUDygWLH3l7hWW7mCQZEpGTS0GA/EA/jWzyz7UiOFwJC/MOMTfBy5wGY/aMc/0nv4PO0r2lyMCaBBFyOCSPZTSSQSCCRQCKBRAKJBL4+EpiFuRyAD7cHu0AptL9DSocKAhgCfBlSeAxhGaSsKpXDdr1FXskQfMYVWFCH6jVbUQoTNF3pxVmAVAaG03M3ogiDLVFEg4ltDMZcQ+Z8g9yPV9ZrriT3pPhy7vPNR3zMt5XfhBJMugrGUHAfKbZeMaAte7z9tK32NwCuZO7MHcUMsMBlDaZB8/bpwTlrDVp2CpblzDCYtraZ8zb+bvITVbXxIri9NqzZxkA5GKgDkxp3F1ilvQYCjIyEon6IHGkkYOr98xWAgWqHEstAUUePuP+lfE7xhySCq4LFTOIfOF7Uj+YRvrTV9AKAi/s6rL7YqJVNBQ5qI1dMXel3cSbv7Kjqc5fstswZ68PcrsNBeb++qjDGFfJnzqXn7Pj8ot+DLz5zxVN8vHB1y1mz+88c8fnuSUXtWLtPllvAYR6GbGG6YOdgL1fIT3lkruLnEa+Px/f4jqeSuUS0UgUT0pIrxTwRZqdtAtNXrdVNndkuIbcrGwE8KbKp8mZKTuPjq2fNQm3ECC8C3HdgLxVZtojsD5NdaHPj73xh34ox5Q7g8satfCoO5vcYR8Aesupy7/Xcq2gNYpd59HwtEpIeMQevGhZc6u1h/uD6bNgmmisvOfRiRoGAxkGj+hOw1NrjtQrQqn08B90rnQsMqlrslXB+b60Cz2IwCwQUkn+xZL3As3M6P7CL3NA7s0RCrud12o5l+rbEh+wm9p/bBX+BoZ6r6Z6dKvKsdbEIAFzGZTEDyFaA6L1T8aVke4gEEnB5iFCSU4kEEgkkEkgkkEggkcDXVgLDoUCgAtSgwaH01baP2FrrXjsy/3krZlD4DpQUEYAKhYx1W7B0KKnnrmwBFCY8aqeU1QHgpR0H30GjjPRjGD1gGtcFqlw1hTmKlVkp022owl3SnChaag1FX+dyMIml4tCeaD9lu8O69/V79T/CujVtby+/mZnRE9NWf/9f4/OjmfZhJsuwjQKXAW6FSw0Aosw+FTzl2eG6PUcEWF2fx39yyeZDR141KN4OXNS55kdqkxPUqvea1uq3rJSN0rNwLVbS1TTej9etc23+aoO6HS0ssWZMT5lfc9AcpXiJ23lb+hMTd5S8ghfIe6k8h8trAEwYzJjdUn2V0Vi0GS86chmPnRSrtQ3gukzAG5mDClzMwiAWJtr2aOdZuy1/GiW/EgIs0bpsJVsbbCDzqG82Yrf4hnnaRWZzsI4Vu+fkgn3lAmw2c+iCGhSltVzhZUM8NvdbSMij/fo2sHLKTynmcBlwOU/aDmfIonUI3Cj/pJ6JZeYr/06BGLGL81MErKniM8gCY8Ca5qWFopweWchbsVxxZlYvOIacy/OsaN5DXkR4cCeNQVtZgGo1Yu+mCWwjFlf9xnks4+nfaHsid9xe6OKbSimWuT8AzG47SEzPu0c2vlEHXNO6u27uym9DLCVFcy/g+xhYTObN/HXv5dosYOhsvibPCnRL2pgGq59MDjkX6vya+Y1hVtqHghfT6DX93mk8vZQJoFPnta9PYDG9Ksd6tkLdcCZ8+7jsxr/b8Wt6FhWxNi5FfmO382l3R0+CXxJO1DI/WK7bs7CYy0SkPpWv2aBOjlZ+zGlYy/H+Cy3y1laCXOK+k+3hEkjA5eFySc4mEkgkkEggkUAigUQCX0sJ9C4SAXUaPRVaBIZuZedBG+B/d92S79s8/mmdRstNYjeJkPnE5Su2dAbltp+xzjbmnmjvA/LtDbIt2Ak0VQcNMoOFF0NDLqYKdjRzxIcQW3q+QYqLlZwzYMNMFwWZcB5Eq03jf7WWxhSyt4biSmoRlNW0NFMU6S90HnX2M0uqlCzAOAZ76pRTALiePWfnbGJYlg7ugGJzuENblGNsX10357SDpBzAkjMy15WSLMU6TXAShvO0Eh5MiDXpmgLzrGNae0v2KG2uLVkAjeopoIsAz86gZtu2ZeUc7JzMTQFYT/XO2k5v1+7J3mXlDL5+dBPGDUq0vgWi5M8qYClWbWUjbSeXJq8ZUO1UoiVec10nmgSDWd1qeOAb+bCWAC6ZCgGPilv2TP8SbYf2ueYX7Vj2iN2dv93nXehzj2GmBULFdmocBW9SeQIw2sp1rcrcjy8cczC0CnCdnarYI498wT72B79nTzzxhNe999577QMf+IB98zveAesLAw6QUf5TRXmdmcjZxdUO5rENOwp7qdIgYu42692qYWoJCBbrpjynYiGnRuyt+vDq/qW5feXJJ+2Xf+VXXO7j186cudU+/KEP2Vvf/KDXFcBUYwE4Fxr9zEwUGbPrcpbf68sp+TyAHBC0BbhUkZw7gL5SeAdx3S4lXyjCSMZ7L1zUQEBQL330EkdF63RTV17wyN9Z+VfDIoK5ah9b5hRpQob5hqUK8pecIKJswfvWSx83LecFgF7wCMBJTjGLGQO6wFrCbGpsHzV86bxAsEBo/MyNXfZd1Rm/JlAs4CpZq7+9wsuD3Iad4Hd6gpPDXgbriQp+mcGkPKRZUZu03cX/N4+4D+de62TvcAnc4H/twxskZxMJJBJIJJBIIJFAIoFEAq+kBPZzCqHnQmbbmjZ3zTBbnZrNkTdPDFq71LHZSsXWdkncjrL+wpUdq5W7VunN4JcYmBuoE2tPbVivuIvCiaIcRXlNEaQjg8IsRfdo6oibol4hrUGqDeM0uWzDQodr9AEo7QA8ByiceQE95YekzxQKpyKCOjBA/RWwzJIaBIgZzTkoxe1BmzQbsF4DeXipPiwPaLHA/DEUJFKpUovI10uMZQCbmqcrx9R1IMQ2jEPXXBTYVBHYHC9Sqi/3ljH9Df5hYqwEmgVWCWXCGrUOPrR7tPsYjOA6poML9nT7ORjMlj0EC6txxz9SyAW4GkS83dxtAS6bzqqN+18yKc0mzFkT0nzHiualSKrLmNYq8I2U/Rn5V04N7cu952EHg7+tZisz2IuDZau1a/Qg40qi2Q6RKbKXb6yGKmo4yZLyfPs8IAWkjjvfyaUTNjM7sN///d+3n/+5f2gPf/O77Lu+679hOgP7zGc+Yz/4gz9o/+AjH7Ef/u9+CCZN8gvzFGOptCtiDfVcbZPnUyBPIKbAy4QT8qcEVCpVSwx+fPADX5pWHZ+/T37yk/YjP/IjmF9jnswQYksfe/RR+53f+R37+Z//J/ZdgEzdOwdBAlfRzZVf62Q5i6zaBPcp3XCsA0PvOyxXMra1EZ4N3Wv51t5MEfAa6FkBRIqh1HMYF61bxw7S2FfR2nROTGnHMB/HDFb3iQfahp2i9bsEjMLcvQuLmS40LI+56YDfTA+5yvQ7q98X/Tijq2PGjIvYUhUHvfFJtjqvuTjDPHY+7AIWiWqrXpXGJr5XmrMDTMaQSa/6lJluN79nEaHfVL/N7yayffVxWVwPEKwgRxDXRhyspNyEBOL/AW+ialIlkUAigUQCiQQSCSQSSCTwykugEKOlsa7nFp60i82Hx86EXSVuV5F+26luW65YtYle0bZQ6ocAxt3nS1aawndPufpgHVMouFlMK1NRwKDQC99cFvB6pv+cFfnLAug74OUAAEAASURBVCpTOxXrF3YCEGUAOFDqoXXyj+oAHxRTV4fVi87oo29AZ/TXHSo4TTjStQzKtoKSCMiGQm3ATg9/zgzKdAbweqpwi/t9urZOpd4ggAGPpupsnVqGsbSHoaN9R/XdAIAAInUuLq1hm+iyOQIfFW1zIOVZgBJ1m4/g7GJ63p7uPYPvJk6BlDz+n3cXz9h/qf2R/YfdT9mdhdvsVO5ExCoBplCwpWjfsljFtBAzWli8i/gdFos5m8Js1otPjS/G0K58LlX0rTQfF6/uBt9KlHwBV7FrzxQfsR4RdCU5FUEJAXmZnarODuy15pxjfmnJjgq+VeXQRHsUmVcC3lpP2gypL2aq8/bb//Y37L3v/Q77yb/3EcxRc3ZsYdJ++Id+yD71h39o73jHQ26WqpZpXhTI3xZi104em7EtAWAiv4rpK5PT9LZbZtwX1O+mj6kvARUATAQO1c9h5UMf+qDdc/d9RMENPr8FfIQ/8pG/Z7/5m79lf+mDH2JsmGUccstQipNVAStF7sVfc55ckOt1w6oXhlT3N4wn2Wq+e4uXxFRgEfmeSCkqrQA355faVt/atZ0aL0iQJUt00ByzdnTlLKLMSwW6xov8G/Ubc3YQsBsX1RO7qKJ91ROTrK0CLxUy+DrmdjCBRZj8lrzw7A8wR031pnhZ0+AD89+ZB2hiks3PuAfSa8EQ6z6P+1X6WPQtdlTzj4ueY48cOwZC42vaCniqjvqKgaXWqv7iYEMt2HMdy8y7OCRqcmHdX+70YS2tG/JkakwFCtK2y0ulNgDz4kQCmcZlfaN9PYVJSSSQSCCRQCKBRAKJBBIJfN0kMEHADJUmfpfNYUgAv7r6wHXn0+oTZIZPD5PX7sJVm10CPuYViVJKc992203rVXasc+wSAJO0CS184zCFjQGgInQK7AnIaPtE9yw+m7uQLmTSLG9JnUfhFfSUyV9gQoZSojGlFQCSFaBYS6m9UkCl//Zgh5rtOso1bUYfemh3OcdcAVI9ttL9BQhQf4kYOyA1SBUmDniAFqwRuwpapI6p1weY6bwUZCng/uGC/gLIkElhdD7aCgvXMIFt4FtZyQKWYYdGJdq9I3MboFLykkRYC59vq36zTZIj8Cu1p+zZ+nN2sX6JnIaYFAOiVAS2js2XnfGRjK/AQsoX0ctoCPWGMo+SX8dvVcDqGYLUrAPatAaZwR5fKNvEUssWcgAOydjnrVZUQJB+TxxywuvCwOaIDuymo6qiEoYI+3wXM2LLGBPgc7Z9zlZ31uzq1av2lm96m9VgW5+6sGIXLq96Kpj3vOtdBPERsIki6ZISpgHYOHv+oq2trdokAOLE0Rm74+Ss3XNmgeMiAI2XFoC+erNl5y9exO+ySeRTXl4oKJRQ23WKgL8yorQ7bVKS1ADZZu9858O2soLpdb3m66QDazSJTgpIr7da9sLFS8yta8cXoch4vja2d6jCc8qc9dGYW7u7/hErqo+OBdQKw4LtLO9YE1kvTs7Y8aUZ2Naif6rkLi2XMtasrdr61fPIs2MVjsXSHmQG9SwLhOrFhlhAATHdu5hJ1HLlPyn/SjGCbuLKdS+YyWZKmJFXsRLIA6r5PanoGR20StbfmcGkGXNzouPI5FTsofrWTVVfDg7ZxubPB+em50rnDp6PxxBYlqmt+o2LzIK1JoFN9R//XrCdB0Az//qcWysMCOwTSpiXftdaO//s85u8RNnD2XHXyfY6Ekhg+HUEk5xOJJBIIJFAIoFEAokEvjYSmEqFfIbb+CJuD7d90E6let3BNzuyUQvAyCYwhc2hLO/OWnsdlhDFV7kHi9sEZymV8ZtsAS5hLgGXfTGCKI1SNsXyOMCT4rmF2SfBWvrlHfwzmw7eApCDcUShF6CREi0glMLcLhivxhCPixQdBR1bIDEANl2RWev+EubtoJQWYhovt1dgFOd8rKA4MwIoUUDLwV3QwH0ePojmEYZ1ZTnuX32GeUuhD0p9AeavhTK/Rw5rMWa3Z87Y4/0nbGtI2gxrkDe0Ym+qvtG+3HjCznafR5cmEAsrOYbJcBHgruHkE9ho9ogcWwd0tUnHQQoPopzKbFDzQncnqX3LNmHMdjAtVZRZtZNp6QzBamYnSoBUaekVgOuC59zc7G/bld6qt/d1+PSie0TrHsyR/FbvL9xtVzHjXesFU8YA7QGVGps2Avvy52sCagrFgj3+2JfsXe/5dsvMT/MiIuVzEUiViaowOxyp/af/9An79//+39n29haAhKA7gMYPvP/99gPf930ux7Nnn7aPfvRn7e0PPWRPfOUr1Nt2kPfBD37QfugH/7pPV1GE9ybvp/xLAFb379jCFOsHkDK/xx9/3G655RarEuxHc376mbP20Z/FfPfhb8Y39CsOiqvkgPzJn/hJyxWK9gv/88/bL/7CL9idt9+OeHmuGOsffPSjdu8b32g/9RM/YQ1yO/6NH/1Ru+2222x7Z8uurlx10+c3PfAm++Ef+3F8CGfcV9cI/vRLv/hzjP8Yvw9yOFYn7MMf/i57/4f/qq9TvrBxCeBLKwoAM5DouovheRyBMzXgIetwjx3wGQwzQHhAbpKUXugA3gZ9IsZiHquP2qttrxPYzIHy2rIegUzJJmYl4/HzY6xpNJQD0IMRZ3VNRcBRsxTjGJcYrAYQG1KrxNdSuSbz5Hno8sKoXcSaIPyC+ZmPwKv+L7laS9vuxF6fcftke30JJODy+rJJriQSSCSQSCCRQCKBRAJfAwnck798zSgZmLEeTNn1i5T6oPT2yVWYXahZtVm1bfwCZb63S6CfhdVFG0wCVokEmVmdtsHMVVyqgH4ASwGxdG3C0nUUfaUjIJ9dtyITOfGHAbDIbFXHWY8+6eq9rngR8NL4qOAOUsVyyi+TkTiN0sqVgZhKL8yThlJRNWNdD0SI6qEY41d4obNMWpJjAEwUdACTwKwzYxFzqGZS5vXXAyBd7i/bfGqeADhfon0ABwJPp/O3oCh7ZXw98SFl1HymgHlfMNfVBITHFjMLbnL6SO9L9kjvUXtX/p0EIyrZ/cV7iHj7BWeRn2iftbOd5+y9s98C1AwyO75QsQ2AZQuzXvkpLs4QuIX+5Kd4davpoFN4SyBhCjA6AZhcoE4OAMH0gvy4lgewHhsuOXi8YoBLJqb0MJKo7o2OndVENu+uPGSlVNHmh3PWJ83F79c+7X3lMMWUn+tifsHuK9zlnecBZX/lr/0V+7Vf+TVnCb/p7e+wEydPW//UKbv7TkAYOSqbTXwpYWKffOpJe+CBB+z97/+LVsI89T/8h/9o/+JXf9Xuuedue/DBEAX43PnzBMip2I/92I/Zwvy8feJ3f9c+/vGPO8B7y4Nv8nlorlrvePn0pz9D/0/5nBrNtn3+839mzz77jP3Mz3zEWbS4+nPPPcfYZfubf/NHbW521v4z/pp33nWnnTt3nnnyomN/t/bCCy/YnXfeORpqZ2eHvj9vP/V3f9Juvf1W+9M/+zP7+K9/3E6ePmXf/r6/5NFuP/Yrv2jnWceP/w8/abecOGG/+4n/x/7pP/3HduL0abv7nrfAuMNCAs7cTJbxBLCGHGcAagJzCuikecgqN8OXAGW8Xm3VzoP48JSkCHzj91lBfTD7TRVZAxYGQ0xlhz3BjsAGDsR6M84oaA6NNIZYS/l8qk89BbF5q867LHTyQJGI9KxkxhjLuC89i2I8YwbWmxKsK53H11k/FFjcAdFiifzlz51+dyr6P0Rs6hY+sBjX+7nk6+YkkIDLm5NTUiuRQCKBRAKJBBIJJBL4c5KA/A7Hy/ryHTcElgIgOViSyVzJ1j3wC8pjtW6zCzA1mPLV2wFANPLkDJTfF+kGBCQLrWoAl2JXpOgq+Aj7imrZLe64WaxMUgOoRLmVsgooUsoOKbBSjGOlOsxXUA+lWOAOBiYl5z3XQwXpMM8jcbzMZNVY/o66KPNYFeWiVN2gtkqxJiJre9Xm+9POoEWohbYaIxTtaXz9tWGFvtR53HZbRJ6l66zyQ6AYn+tcsneUHyQybPBZJJufNGWqpACeJ8P8HbyZzRKd9w47Y2f7z9kfdv7I3pp5s8/TwQGDat36/L9rn7RvnX7YqpjZCvgdB/Q/f3nXQcl5pSlB8d8FXEoZF1iYxMxzYargTGcAitECxjaShpi9AqavMk3WOCOBcBOII+ss4T35O6xCNFiVPOeH1H3/5Lf5sWQU5BcOCRdkGUDND3/fD9rR2SP27z7xCfu/P/5/2sbGOsGDpk0RY3/6Zz5qs+TGLADif/rv/G0HSyE4TMr+2vd8j/3rf/2v7bHHv2IPvlng0mxyctJ+4Ae+3x5+6O0uux/9Gz9iv/Vbv2WfJkDQW6M6YfS9bwG+f/Mbv+EmmjorE9OLmNT+5b/8V2zp6DEHTzEDNz09bd/93d9jD739IQB4yu695x6X8YXUee/QQdVe19GengPMSwkUlcP89lve/S5733d+p23B6r7n1LfaH//hH9t//YP/ah/6ru+xxuqG/SG+ph/5yEftoYe/1UHb3/xbf9s+8+k/sj/6g08BLt8MAA3gSwxkjo8AnQJOxaWIObPAloNI2eBSdO8ke93z+HcxbBFxWL7L3Be9aEnxu47vv+oO9bsjYE74DdGOfwqYI+AndtFNWpGBhpA/pnyodW8YysfXc9nDlDWD+a2Pr04pYhgFJsfNpyVzjeMMKjMdEJk5Luk8v4nwBgbgCXMpIKzJRE+TwLTA6gYBfp7n/4nh9Y0o4i6T7ZgEEnA5JoxkN5FAIoFEAokEEgkkEvj6SUCAQ2Xu6FnrNyu23T0RTkTfRfzvOvgkVmDi8uwLYEolVBlkelafWbaJ+oJ11kibgIa6uVu3eRip9MIuxARmcF1M93p5FFxUyXIDtNK2Pud7aa4xeAoWDF02KMaiaVCy5RfohYHisbQjZVZMGyqsX9bc0VGDeirlmj8FOlEuzCEKtCu6XJXpoHId9g9E8FRQFink8klLEQQlK/NbxmdSXAi+iRpIwFKD7LZJDdIDWHpJEchyEmilAC74R6bLVus3fG5iP/MK+cIE6/i0llPyUQxzVtOJ9JSVBiUi8zbty5jJ3m632nFSgXSjoEJX++v4b7bsc7uP2IMT99l0dtLBY6WUgx0ObKX6ERiZw7dvZrKI6av8DSWRawvTAyAGUJjP5W1psOBmsetu7spVpiaTYJe6AIoWq0UxZwcqahvNPwYuvhrObZCaZTO1ZccGR+x93/Ht9r73fSfRbXfs6tqGPXv2Kfvf/9d/af/yY//cPvZrv6Z3AYDjjv3JZz9rYidlLluv40eKn6nSt0S31SqwlkePHHUTTj0L5XLZ5mEwe0T5HS/xXNRQgPSf/cLPAz7v8/tN7FV79twL9su//L/Yr/6LX7Z//iu/6tFM1V5msEePHXfGDszEM4SZqfw5mZ+Kg0vuf3zsJ1nrcBC/pMCP9fjR6NnpWCfdtqUjS7Z8kajBPMNrq1fcn/T0rbc6O6lANnnYuNO3nrGnYG7lX6kouAJTe2vwUfZ9CfylmWCfZzmkJAmAUOd1LICotes5134Ks1iZxxqspRhMPbROFPYL+BqTzqenJ97vnNd381r6j9cpQAsnyksH/JW7Aei6yThyEcgVAnVWU7uMp1y0cVum4GtVYJ9BecMGbXwmSTGiojopXiqlsGbw+WKyK8CrorUEppZfNYD1Kr/B4YukcPGGydc+CRz+y99XJTlIJJBIIJFAIoFEAokEEgn8OUog6Jj7BpjKn4OZfMHyaaWkALwQfEXpPqbJ01jJFR246fxcIdAK5SwBOYoo/ADJCfz7xGKIAdndRkFFoe5ObFpvZs16cyvWnV+x3uy6dYk228/jkyk/LRRLgTmxkAJwdxfu9K0UVf9w5AAHPVnHAjjOwEip5uPKtcwDxaLAusi3TR/C+dA3yi4sjv7CGJq5ihDE3qcAW5eVbyh5HQVwnE3hcjAPZasZMa4A6Ap+ioQIoj9xpCmbTc/YA7m7vVd95dN5K8M0lgl4I7NYBfBpACA1WtCw2UNG04DL+3Jv1FkHmDXbtZPZ43Zb/rR/5Ov41uJ9VgesrneJMMv4WsPsJEFtHHwPrQKYvO3YlJ1YmrDpKmMhyxsVXzFjy+9VDO7tjBWLQWuJATs17PnuBfszTH8FfPTRfRVrFZirvXO6diJ/3C4NVmylj2y6SIcgOUVMmweY1N59/1vt+7//r9tTTz/tvo0d5Ps//t2/az/z9/++PfbYY/b002ft0qVLzmTecO7R+IfW4VpYCIzn1CTPKMGZ+nWe25bdecft9le/+3vtc4DZs888wxr3lzjvpvJfhhQpYW2633Uiqu4rehNygxJeSsCW67kDNMuUNQOQ13PthU2pWCSgTdfvoUDajYBlPJRkL5/GIqbO6ssZPp595Zws5Lknvv7weOG8jFl4kUA++D339dvi2cfPMo1/tIzCHcjRTvlk4+Kmuf4ihjPMMQ04TZV2LU1wLk+TEglNc4iZX82B6XN9Tyb6DXopir3nV9QdM6/nhZKiwg4aE/4hKphX1foFRhG3/95Wm1m7yMumpLx0CSRSe+kyS1okEkgkkEggkUAigUQCr5AEFEhDBR1wXylktmyp9AiKqBTfNECJdCME8qkQrGUDU9gYVOZhAlXEEi4WJ+xqv2b5maIVmjlnpty/bidvxWmC0sCIiXFSnwEEMDZKpRTlWXJnrrY2pdNappCzF/qX7D25d7k/4mZfEWQpfGmbhvkopGFgmHv80WVdjZbjW43S7uNvBhhSDr8uETZDOCAUbVGJo6IZkLaDP2XKLEKXhOswMsxFwWFGHUvBp9YZfCsFIp7tvkBL1U55UJ6Hc2/1NQlyAilGI2hHo2wPd20qRVL7cMLPTqSq9m2Fb7Evdx8n5+fxwKpGQKGSCYzPW0r32Rcbj9lcdhb2csImMH0tkt5FUWEVPVZzEVPmJb6XsTDC2Wu+BWoUuTeMEe6KKmmeGGGygiyRb2GYOf7T5iP2luL9DoLCMxEPItGwGuYrs8qFwgJBWlJ2ObVqR1JzgGxJBsAK3lDEVQE3zffRLz/mAXb+1cc+Zm9+8EEfY31j0z71qU9pCl91Eeh3wCZB85G58ICXDZqrggA1DgBGX8PYqALPCubUAyTvIuNKCdNUnt1OZFY9VjXa1UD7i8BlheA9ApcrK1fstjvujcCk2eXly7a0tKT3IpreSyoCkWKnxaoqtUcG81XdS/UjOetZCHeHMzI7bUySpqTN76rtqWEmZ0rOPg7TsK9DWEVeqAxloj5WBB7lH+tAGz/bYXUdRl9glQjIjCtwquKgENZyvLh5toL1EK12QGoUmdeq+LyKDQJI83yRk7MLkI1XH1KPBMZTtb844GXV/p+PukjKTUggAZc3IaSkSiKBRAKJBBIJJBJIJPDnI4ESCmAaVk9q3g4mcHGRAit/vCospfyn+pgkzsJS9tjGwHKT1B8zBYGfoe10m6SlyGGaWbX12W2rNmatsxpyTNaJIptdBPyUUYSJXOqqLxqk+i+ggSvK6GoLAIm+6mar9LdLnsXHel8BCESskSZIkUor5TPuQ+e8ABrg9Nhly36LCJ06o1MDKd7kOczCuAxcoUWJhd0UAAy9hS60X+OvQN5NAYnMEKiZT1mxjG2eQBFt3HzRmSCBJuYDmzuVmbCTgE2VQl7ANCrRnH0enM3DxHQwp6ylQrTdSiowOqqm9dyfuxf/OwKdYDJ4EOzMZKbs2yoPE+DnHODyLhjBNDklcw6SOphFbhE5towpI0uN9HV2BFAF/G5QZP7bB1wsZOdsjWiwEpm+QsAksbf8scbN/q79Xv3T5OG81fNwjncZQJx88biXV/r2S7/0S/ae73yPfce730sqjik7tpS2C+eft9/75H8iuM8JW1hcsgsXLgRgMsoVmiIVyEVnL8f7frn79bqikVYsXwi5Ey9dumy/8W/+LyK73m7Hjh8HMAYf1bj//WIa2pEjR5yd/eM//rT9t2feAFudss997nMepCi02Y98YjNZXdOLFpcbdqjzC4v2BgIA/cHvf9LeRnCjannSnnj8S/bFL3zR/uH/9HMAtfC8xvN4KVv9RgUq1YcAnW69QKE/55wbBeHhfqa6BZsuT8CiZ+0Tn1qx86swiDcopxYK9oFvWeLlTN62mjsE4AGIZnn5UgI04gfZx8TdrQX8MdPIobjJrqwE8KOWqbO1ZrgQPeGlbX8ke0SEHvBbIoJX3Mz7avPSQWt5vgGbmfhZjmTzUncScPlSJZbUTySQSCCRQCKBRAKJBF4xCRQwHcyiDMIx2AsYbqpM5vAZ7GGuivLa6LX5dGwCkNkiiI1MY/WpAd6U4FylgklsnToqgmuFEortHGBnp4wS37JumwA4qwVLn1QdWBfqZ2E8y4DRFuBxB5NPD97DVQGxCN/Y6hC2hHMOvSL9VdekuotZEgCTf6BvhQ74SKlHRfVWPcxbdaxJCcAO83COmN4pd+HAgTQBR3DUVHsHA2EkzFNJDTKcoBFd0pVYzzg1iWo2WZNk46BbrCY4Q9MTuMKg1p5snbU20WGP54+aWMm1HibAjKf9GqB5J4WyTotOZoZ0IFM+1/grh5mq0qcEGfh3fMm3d2ROw/j0ABFKL1K0tW0ixxK0aH2njb9lCWY5Vi3VllkdCjA127hvQD993Ve8yz7V+IyP4fLgsgCmmgMnmK/urNkTrWccXEa9+7n4S+dOzp2wqZkp+2f/5J/Zb972m7YAuJKJ8eXLl13OH/nZf0RuyKY9cP8DtriwYP/o537O7r77LsZJ2yXApXwsX6woiM6NSqFQsF//9f/Dfj2qJAbyIia3msc/JPUId9RZbPk/xkUMYlxUf2Fuzt773vfab//2b2O2+zgBiaacfVQAIIHpNMx5KoM/ozeSfy5MGybNE+RNzfIciK1MAy71u/rRv/UT9r/9q1+zj/z037bpqRlMgJ+yt73tbfbeb/8LgUEcGzuew4ttBewE5MQs8lPwuylQqwkp+I9MpvMySebZFtMon8g89/kn/sVT1mrurft643zx6br9xy9s2cf+zp0Ecqpau8Fas7z4kFkrEWjT/IbTANZBFz9snj+lotFPUL+JXB5wie+pAgzpWVJJZTtuZutHAPWQHsWvWBpGVWAVqVodf+cVXkAl5eVLIPO+n/xH//jlN09aJhJIJJBIIJFAIoFEAokEXr4E7s5fBSxsoQIPR+BSuQ0HMJRdmAd9FopTBPdpODPZwt+wDvBsAwoFA5sAzgoms9rqWjVXIEBJ1tq5BuZ4BRLHB0VW0WELR5s2j+ms2EqZS6rvjQ5J6BlLJaihfPuOw0LOYm4pZX70AZahROdTOT+HVh+20qup4x/aZPERHYhBQdlVT1JyBUhlTpuBQczhA+eBRDCX1PkMQJfK1IRt5Q/PUp+Hxs0CZmQ+6qCCGi0ANx6oKO3Mv7dtZaLmVgnUk8/iVweg+ELrMQL61G0NH8nlDj6InVUrku/SI3hqoUIkfGR8OgkYGRXGkobec/PN0dnRTlDUtRalaeg76NXadup4lgod0VY+l5rnqIzvxyd1Lj7PrtYo4PVc7wWJ02UV7KQDcNez4Xcj6vZ22EuVfePomE8WYHDXw3fZd7zv2222OutyW1o6Ql7HD9v3fv8PwXxN2cY2gZ6mKvYX/8J32tTklOeLVGCdD3/4Q/bAm97kqUiOHTvqc9L5u++6yybYSmIZXgzkeUlw4sQJu+3MGTd15YIXZ71Zi66dOHnSTkafU6RBec+3vNt+6qd+imiwd5OuhRceAEv5EU5PTdjtt78B89UyrF60QK2W3Xe88512O0ynUpLMzy/Y937v9/rcwti3Ugfwhi/jG954p03MVz0Ik3xsjcioJ06dtFvvOG3ruzuA6JP2TvrSs5gDdH7ggx+y//5v/Dhgq2RtgBmnX1IRWOwQlVk/EzGXsa+iyz8CeR50h+segRY2c3YyZ5/4g6v22HPhBdL4gN96/6TdulSwcyv72UxFks0wufvvnLBandH6OfyZAdHkPTVMZU3+m+SxzQzKgSWNEHqqgi+12Hfy24bniN9wqclkMN+mmwF5LY3AXiop+kmX6lzCQgLW8iq+yssyn46fz/GJJvs3JYHUrzwT2WfcVPWkUiKBRAKJBBIJJBJIJJBI4JWRAOqffVPhBXIrLqMP5+zTg0sv2nEOhXq8iL2cySuyLGZwEUuh61Own1sb5Kl7vOLKcx7zy/n7GjY5A+tJXQFRFQeNADqBlypsyC7mtTK9FXB1QMM3eIcSFH9960w+rcTrfsGBsXYF1vjytlLkW72Ggy6Z4Inh0V8VcBsD0BRgQj51aifACSfrUSqHtNX+9HDKAWMKhT2P76WWJ4C3gQlvcZB3EPh896IVAaxnqiecvZGnpUxlH2s96euYTFU8R2SRgD4lsV0CqSxIK5af6xTM5SwMpkpYIX6iHZgcgGu0PL/mg0e1Yr07Bnfnr7aIHPv/s/fmsZZl13nfuvPw3n3zq1djV3VVd7MnstmkSIoWZbWkUBJAa7CcIFLshDLiyA4CGIkcxBEyQAGCCAliC4ZhwEiQPyQEsIAEjuJIEW3HmkxxkkxKPbPnmt8833nK71v77Hvve/WqB3aT3Sye/ercc+4+e1h7nX0L6ztrIncgAz92/7yViRzra4wNwwj+2QUYtNCqTmUr3l7jak06brVW7Rv4fXJpeWyU9YJBf6JTdLu5J9c/UfsRpzXOr4ED8JWyd2hPN15AO13lpcVFgC9AvUTamqmSHWKK+pVnr1LXsktnF+zJB88CjgQkxI84hriglYen71dUyYxZhMlvU757KnrGfcyXY1GUV403YmS8kZz1XNVHuVjXdlsE1SmOtHvlQsZm8auMxQM1MZZePLB42yW3aKPdtVNzmDIDKHeIruv7hpcYWrt8ezscJQBjifyfKoqsvLm7a1vXc+T1LAL8K+QcnefFBnlPAVJdguEIBIrf76Qox6n7WNJPGkzNr+/6LXnwKeo1pkgPJYNWO2//6/91y6SRPF5++fP3e9Wv/vrrx2/Zkw9N2S/+5bOsQ3xm0FhIa5ItYXFQCFYCgyZBejrsb+jIEThIthBDtJpe8PfMEh3atyNay36DFzcAVRUPFkT7YWOOtD5Z+zrAszE9ItzbpB/vjAPjXfzO+qWtUw6kHEg5kHIg5UDKgZQD74oDNQJ6nM3vuzYhk7+EpHp3cClQWUK7N42WchKzHHRb+EX2Tffb0mgkRWAzMy2t37R1MIvtSbDfrdpGeQNhPQipApNFhPMyh4pMaysJwNR3xGbHCUGfqD4AsqS+Q3oOmawqMmxWKQuQpvVXQHvoWkbk0zIAt4OWVT6X8peUmWwXrWMxR2ASHwlwglmwAszkSEGR5VrgJJj4EfRl0HS/y4yAQLD6dXBy0Dsg9E+I/qlIt+eLZ202P+uCtYT7/cG+nc4vYfLbsaXsglPMhwM04SKtSvNnQVXtQdu6mS6mxmORUClCmn00Pb4mrTopk4yPdZxX5opuIinz2Ktrh3bx9LSVMIlURN0jAJC2WtPTredtJb/s+SuV9sQLY28OiEZLEfCtoIFrY8rb6cNnxhHVc7kZ1jnjbe74EG1qB75/KHM/z2ZoNzf2bPugY+eXy2i9hxw5jx67wXN45fqmnZ6rANYmNLd3DEoF447Wz1f58Ykalcl6fZc5secV1Zc3KdOkcdkBYF6/veOgTANeOosZ9AS4FBB1s+dknCG+sOsbh+DKnu3yMuZuRSBzsmTw9d3DN/lwQ6aqWXvg/BBN5tJkk3d0LUDqj4Neei4KVKQ9K/YLYLoZLHor0a5nL81l9Md8RxNNNNbY8uWUxjQoJ/Wc0do24Rk/jAxvebKk0ymUwhMZyNR8lNeSe5jSagwVmdFGYClTWaL74A86DY3sP1KkNKdSYBk49a1/jv8n+dbHSHumHEg5kHIg5UDKgZQDKQfeMQeqmY4t54ImQ8BsskikzxPQJhbJhjKX3e3eqfmQQCstzfGSJc2AQFOHhCAe/OOwarkOPoX4WKloPIE+shsKuwDG0I5wDsJzoMcBJpJp0I8kEip9BdCkVcoA7vqAKhW17QLWymiPkKoBi1RKVuW2m74CQp0ORbdkEmnD+gK6jI9sy0kguEtAn6CB6RHsyM1PycMnLZ5m0OfmYNfNcjWfBHz5WSqK62Z/GxPfPgF+5hygKZWf4LD6uKaSbxKyRZbWqP4tcl92s4BLNJ4x/yS3R0Vt1Sme/UZg0KhNoaDcjpgx78hEltyX2w07vTiFCSazJ22dm1xPE0RI0Wpfar9GntKC3cqtkYrkfnul/To+rptMBV8BvTrrT1rFT1SegH75yFZtmkO0TIJWEaI6zaH16csAcHnQwnQXUKJAQ36X+osr+C7uHAL6+/bKzR1bnJlyAESDu5a4hjsaMFlYnq/uDpqOt/dxtC7oEH92DtpENA771vfF8Q4T3yusYRrwubnXsrNTp4iKvD5x9+6XAnzVKbT1+wGsNlpN10rLJ/OdFgeO2kwU0Stz2Bi1NdSyz1hcFi1sngcnraiAZdDaxxbjs7SSP/Lokn38kaoDU2kwv/KNLfv9p2P+1tBW/FI015CORGbb0gAHnsu81V+W8NsRkFVKEqVziUWpSDKdKXhOgC1e3gyJEhtLBt/N3FCmtgW2TMZeA3gOJ7KWxHbp+Z1xYPy/9jvrl7ZOOZByIOVAyoGUAykHUg68Kw6cJd2Ia9AYZa25Zk/kPoLP5DSaxCIatY7daN+wViYAwQoRVM9mzroJ6NuddAtB+k861y3XQDuBhFocFOzB4UdtoShfrEQ4nRhMwv/TzeftWve2a930XfQppcfHSMXxTO85fCmRdCkSX/uASzfVRPAdotFxMITQ20GbipiLqS/CLPMKOArIyWRPIFEAMidzRoRk+VeGtBXkppRWFsHcUyZIGwSkqgN9lweLBM0RHwLNGiv4iUIfNF5F41vGnE98O184K/Ko71l9EKLCaiSV8OmXDtowykRzfMYrNLLn7oTeUTtJ9arXkVyHCkHWUK5jltsCUGfKgJi5RdvfzHpwH6XOmJ3GdJiWk+DMeSrei0+Yx24MNm2DgENam3gdlMph3ouFM/bg1OVkpnASeHmrohZNfAKlZZuuFjyYjPdh2rla1RZqFVsFYG7ge7m5X0fzekx7GecQnTooovsID5I6v5l8TLaZXPNkG42nPaFcoOeWp+zVm3s+xQ4a1tMLdw8mJOA0P1O2V2/sWqdespXpU+Q6fWuAKdPUWi1v2+sygR1Yg2BQSmdSqYxB1hH63uTLOLKseMLuHPmI3tlJvFIQHxUF3Jl8aj/zAwseCXZ5IZimxt6f+nDNdPyNVsf+j99dt9/646DJHvDyo10K14XuLCbhmPUSNEh+q+E3oT3GPDxv7H3jcH4u4YM74OVMv55AnuR5GtFklXcz11qkS0ht0iUyc1rePQdScPnueZiOkHIg5UDKgZQDKQdSDrwDDqA7tJXsgT1RuI5WI2Nbhs8f2q9GpmF1AtF4Hjt0aW5eilgqMPWtlCa5BGNPaT0k8Mo00CVRBpT/3z55H2ORhkWmmNKcVdCQad4Y7Of57ivKQBlQJYMqOA4D2nLxlNVoWyJf3zfbr1pjCLBk3H4HUErgF7WTiaB87TTupeIFfB8ZR2MXBmiu8BXFjHDDEJ4x9ZvNTaOhC/6IDjollvOvTIoRD3SEVqZGsB/RrrQikEA/s5dar9pj5Q/Zs80X7MHyFTTCS05/w/NEMpsaRmaA4ESLgKjAaeTHpOayVCpbu91icPEt4VC8oIueiiLQdjhAkPi5IcATSGW2C8BES3Z7q0ValLxV8b/0AaJQz1CPFR/CBHHHtaaaX5FwRZz+cvhaymdUAYgeKj8QJk76OriDhkhOQpWf4tL0BYWZHeBrqbrZKsTFQscKNJ1bmgFYNgAofUxnDwCbVbSs43YaP4LDeI5DvNX5ePtIV6R5EqDOE/xIAHwPf8oDcjruEOhnDt/QyTLZXpF456aLtrrdsvuqJUzBiTrLPnirUijBV35fLNcaAEtF+52Elvq9CayV0I7GtU/Oq/Fda0k7macq9YzObwfoq28x8cHVdSy/84chHcnudtd+9jPhBcc//eJtmwNwKg3JkYJmcYjFgaLFdgukE1Fgn86MazJFQ5eXFPrt+BuTiY4hUBZaVLVhN8QgQ9q90nDm8FsWYNZaBd4XiDK7pc2clnfFgRRcviv2pZ1TDqQcSDmQciDlQMqBt8sBabGWsk07n92zy/kN2wGQCSq00EwMJRxKspWgx5/ARoHAJB2iwApU6btA0HHh3eemTxTe/XvyMV3FZA5QpyIBUr6MHiAluQ+UtT/vPZ18Q6soIZvjofL91gQkFgiCswMIOsR01AGYzzMGuxK4b7bXaH/JWqSFOJ1fsVc6r/uaNKjM8wQQpeApEKFWJnrbmLQuZRYwfA1amwQ32SlbRNjNuamoB36hT/BZTIRdAUL+FFX1bPYUwKxrq4M1N4nVPEpD8lzrmyFCLWjzodIDbvLn1oNiDhMJUEo1KMAjfuwODgjog9+auBf+cR2KuoQino/vez0fAuG3e2sObpS+REW+b/mZplV6FWsS4OfGRsMunprC/5I1MF8sWvOV4kUPOuTPlVvSWupaf/KDVRn18L4TINfv3v1je79ju5jnzk8VrIbmMpQwmoZaWZi2qVsFTHjbbiJ7iWAu0mbGoj124j6LDZLz22kz6pKs3/twLWq0F5fnCCDTBKSD/NYAjVUCN0mrGcvkHAJAi/iJ7lzftdZh2SpEmO0Oj5qQxn6T51KZKMUcbcyEtX/aAEyNGwGkfheo0zHTDr8VaTgFvgQgY9E9ATEFepJm/e0Cy9h/8hw1krFu17XyZq9vAhI5jgf90c4YNNEuK50IwYysG8xosyXa839HLoNfM/6SgzagFOuEuG/0QqfDuw83p2WQwMtkH3Wwf8Uv0817k3V+eqprz/EbfL2TwqP4bL6Vc8q9b4VraZ+UAykHUg6kHEg5kHLgHXFA2sofqdwCNko4JbqoooEC3iQIZgReABV+nYyqKuU5rGVmbHu4zd2jRQAlkdclNfr9KCzHlkqLocilTbIfFAt5ArtMIRTHu8fOjKf8fII05Rz9gH/ShOwBhCHEi2hwGh0cIHgT3EVFQV6kbauiXXzCHrVvtJ+zU7kFtEPk4uOvUApBfiTcSpglZI+W64K++jtJWi/jyH9TOSRLBBYKdwJN3oEa+VQ6AEOzeza34uu+1rsJiE40WIDH68Nb3nw6S6RcWmjN4o1GUoTbCAwaw7rNw98RAWpHGxXRohLWzGf453V6Lrc6t90ctsjaRs+Bzu1C3fKzaLZIUH8g/8udrJ2F71EzGAT8IVrT04DLF8IcIsypYxoI1N/j5L2MAOj4c/VOxz5EtzSv2/gkru+2TT6Kp+ZJ+xIWD3jrekAfdZsqox07NWfPvL5mdUwwb24eeCTVsbHv0cFPmj+s42i7u3070t/3Tmgpvs1OFW0GALx10LdDtJfSYi4BIONzmBxTc9YIBrQwU7INos1erNZc2997C+1lHlPrGV607O/ibwngarXJAclYkS7NJd9MNysdzRy0k5pfe1bRZdXG+/F8pAUsaC0nETpJ9OhaO+nksrUHSHyrou7kovStQoqfYfHQhgTjGXKtki1gpUC0WBWtKz4faWX7RIiNRVfKvylfUGlrVdydmZ8ksY/s+0rkgwXA3gCs7gM+e29/gT5W+sGzSJmQciDlQMqBlAMpB1IOpBz4dnPg+ysbrsHLELlRcXqyMqtDWI0CrtCLBEI/RIzLogiAaCYE8lTfIHJoG02mji5+iwJA0k5EQXLUP44jATrIj1bFpFBBVGRaOCqag0PCpfoqrckpAuOouDgKUJOpqcxzvdDGO+g+QqdAmtcgqEp72AXgLVYW7GO1D1uH/Hkz1VmbKc+4GWwRM88SRxltbB4g6utmWJmT8sW/R150SG9Rx1w2rishxiPeKsekk8HMOcaRaeR5fBMzmBd74BRoabc7dq1zE8EYgEDQHCgN69QaGdv5lMjbcFHsFQnJNIEW5XMsFENKi0m+9ljjNfxYu5jkKv+n+oWii3AMypjEzmEeDFDc2m97Go1As+YZr7WMebByfWYHmEBL49Tn2fR5GUDU3sKwJGWagwBp0oLWDM0Z6wsH4ByAIxNNAbLr6wfkUNy2127to/nL2ZkFdMOukUoIjASISmi4uDIHAMW8kgd4fX3PTUUn1xmvJxaYrDPsFX1Rmzcrca2TbUbsSipZjvsuwhXWMyBgDylFEr/BEQ2TA9BuGd9MAb52a0C6lQtH7t7tS6mm6K0ARWiukzdTIHOyhMA84Xnm8JWUKavmdx7j2zimW76UuietYDD5nhznnV4rqM/nfmjFD12fVHyPhY9wG54NGjVSiqBt7vFb4vuwzx5XBCuK0pAYJrR+w2v0nHRQ5f/neLwt/6422tPyC9W+6nSydj/r/kH6f67csZ8m+JeO+WO+nKFz+nkSByb+hz3pdlqXciDlQMqBlAMpB1IOpBx49xz44v5p/BL79sn5dXJQHqK1RJAF1XgUVAmHk4K6riVMSh7kNJ1HC9Y9wKR0y7aQiYEaDqyKaBinM9OAVAmV0qQU0FSRIRLQJeClohQkKtJcqsR5NLQEewn0HYChhG0F5xEITKb19jv9XTuTP2WrXYKncCPc06dIUwxWNHyql4TLGLe7q4DIkgO+/d6h+1D6IrxDWJOwahbNbR5TVgFX0SxwoeJ6O62ff9JSZlmTF90OTcJ3fdJGdWUC8yj1SJ00H3ukIZH5axbQdqO7ZpeL5+FXAO19UnCovSLk5vEHbQ3b9kbnqs1n5zDSLdgM/p5e4L18UwWedbhfJDc6BO7Z7G0Gv1TGVF7HSJQe12QZklew1i2hLRvY6lYT01gC/KClE/8FurTEJzJP2gv7N8ABRIDVCwQtSG8DGOul3T2fOwI0jS/zYp1Vp9LGV7XLmtoI/qopAYiWZopWwxy2Qm5LDec31Dgp8flLs3n5zII9/0bQXr58c9seve9oig6fO3a8y1lTqASKwrV/T2gc19x51QTQrG3V0Z6Sq7VWAoi3PBfnNmlKzkwE94k0h3UP8RtFS17O2RZa2ll8NKWhPvTgTXfOEWumavwuMHWVtq5OUB9pL6Uhj8WfdcBmvhaBLT0jBe1RYB7lGVVRfwFOgVHd7yntCDtMpqfhZVEc8ehZz0a+lJMmr/cvFe0nPn3K5H+pouvd7ZvBPDbprj5KdyL+ihb9nAM/2C1oMvvssQzBeYZ6McGeV8mQ/zJf6vHCB+uIpnJajtepl1Ft/KF9H7GkfJUosixkAEjtdtEYM5FMgn0tPlr4eGq+Y//PHn7P0JCWN+fAmNtv3i69m3Ig5UDKgZQDKQdSDqQc+JY5QMR/cjPm7BuNZXuyRLoM0gAoiqqE2ugXKWE1Fr+WHCcEKNhBRR3fxyhYSt2WGTasSYoBoKF3K+CrN5fkdcxzPZuvuQ+lbhYI5BL6RuEUmVPAsqNEHgO7gJmmtIAS1GlIzViIXMzN21p3w8HPaAyXTqGfdjsAuvncrGMZ9W0D2gpZTBeJgiqTxYX8HK3CeBEYSYotAhy1Tg01gidU+Io5ex/u6bbqULq4pjMLT+Q7F/qpPZFaMxUPBDSVUQ5NAbQsQYlK8Jj7tB8AKEN7AWoCo/TJqZkAhi3oLKA9bGbqnu6jnK0QjEhCfR5hWiAj8L8JeJUvqvMAWsQ/T2khAkdUhssMeSWzs4c21a1Zvd6zW5sNB3/Kf9mC5+vbTQLYYL7aWyDFRhFfQ4EV6GShnLjX8VyZRUw6Vc9U8DI8O58/4UcRf84qQLJWzbkprPsrQk+kMVKmswZWvQ49h3PLNbu6jk8t5qiv3dq28wT6kfmoigPLyDCvufNDbfRcfFxO8dnG8509xjV1gk3dIm+lzE3PL1ddi9oA0DVbXXwvm5jpEv1XvqoTRXS3AXe7gM/DZs8BJquxZV4sZHpZO8CH9m6lQCTUxRmi5G7XGaNnjQbgf+qoplAvFPQiISwqgMoYCCuOK34LXIZAONIAwmz+6SWN3gtoDPU5Xg6J2Py5p1bsC1/HX7RJQ4p8LH/1118fNT3ui1muZF2juQPoFk+VjkS0yXxdWkZ/xlQMkvQielzDXIfctkEbn83ptUryjEaz6HGpLxW0V3CjLOa1Vma/Ym0wJLVJT4CVewLjApkqffj7SKVnzxBYKC1vzoEUXL45f9K7KQdSDqQcSDmQciDlwHvIgQNsYttoFLqYbspaMyeNogvpEgMpCH1dEqO7SSbXEgQPuvhXcUu5GKWlVJ0AlIBbU8F26ClhUOZtrQFpRPgyN5h1zZ+C9KhEMz9dayxJlzoLOC4ADAXkipisaqwgtLrsqZZkwWzZo6UH7fn2y97H+/sdPpirTb7OEaAIsiiAtWP3Exn21c41B9ACn6MR6aNmoldFgEplEko48A7V40+AosCc/BKznAUwpYmJfFPDCsBQK+tn+qQmKVur13AArTpfMev2KLwEgi2V8QkFYLpGCKVPowt47AEe+btg5wGD8lktWYM5Or0meTS34Cn9NZGDezSH7a4VygGQqXqy9BD0swv7VurNEA21bbfWM1Yj2qmAZhuAKe3XxdPTpAcp82RDER9l6nrY2iU1R8WWZomsm/DL2cQ15NE/pKiJ86la9frQKX513vBdQYeiCTVLYMihg7dTpCE5bGy79vPG5r49enHZ+46ep4Z8kxLmibO9ScOJWwKGb6zuO6WXVmqA6wBYVubLdm1VAXf6dnvz0C6f1Z5hRdqrHPsESboJ71oA07MA0qW5qgMgtdGLircqlQX2G0GJFZTn4ODAlhYWwsuBpKODN66ljdQLn+M5LNVMfJEmUzwUyOtgMqt2AmICpicBS/XrMGaZqLX/8Jc+ZL/zByFSrOrvVqSxlLlshz3e1hyJJl0PJ/6WXYvKuHqWo9KXNrONlht9Kv/PuEYTTotu+Vqqj/aBF7oNmzVeoLRNwYGGBX7HBA2yYt0yjUXfEwLPMgPWE17BF/M6gHWXcdNydw6k4PLuvEnvpBxIOZByIOVAyoGUA98GDny1e9Z+kqA+HTSPnT6CoIQ3hDjXmiAIuk9dSz57ADdAmvy78mgVFTQnCNoBQgzQoIxyM0r6Q4AM5mxoE23XVkg10EsC0/QRGld7G/Zvmk/bg8X7bSm3aM+1X7RLmI1KUpZ4KoFZeg7BXA0X9B5c8W+PqJxVNIETYmyghRqZ0rovl/dyMpxrGkWRZH0AfWrQpCiFRMbNYQNYE8D0ub2NIuayltiYs6gSPVnRmhxF/CmpCn6U0uTQLkzBzPCuh++ionzKN9JH93WOtYPtVtuKJYKgSNsU1E4I5BplaLe6tzC1PeN+otlSxm4TwCcCy9EyfEK0qLwo0EsCzellTAj+taR2ma1bbqtK+o+W+2DmASen5iscaOwwlzxeJPy7VjRhgI+qZ0vDLoF59KD0nMWHNyuRTmlgtX7tL/kqOtM4iS9nF6qkTdknJUwP4LZvF5alvUye84njx1E1JNe0Cadxvei6Gzg9IDLs9bVDD3B0nki6VcxzY5G2coeIpfv1wKf5WjB7lbZyY6dhe/WuTWMOex/+ogrsM1nmeHlBAhzb6xOA6i6lNocfLUBQAOuA31cT38vp6WM5Pumr9YhXWr6uTyqqFxgVmJQWU0DzbsAy9t9Hg13k2f/0j55yUBrr41lPJk4nDekeuT/3G/xO+NP/CcprqTn8Nw4BAotDTMeFFUWrin5D1gIw8vIC6qgJowr8On28TGnLPJxfE29p/Mj0ed4NjkKLwEBdACYvbaqb5LNZ8LUNeAkkU9kqc39uqmX/335ZrsG8bJn8hWr2tIgD4x2d8iPlQMqBlAMpB1IOpBxIOfAd4oDASBmhroGpZY8gM4qoKkFQQqJM6xTds90FYMrfy8FPAkJc2qWRfPRoLCE4g+DZ0xnJVL5heQRTaTjl86hgPaq/mrlm1xuY1TLLa2gTb2XXPZeiKlQXPuI1PmUAEvmDqq9AnXJTVrOnXfpV7kvVoRZRT9pxAM6Y1YVjH8+lZF0hDIsuv+cX9ERInmyrsbx9OGmUI+CEtQXoyH20NAJ5Dqo5q+BtijCNxiWZWDQLI8q3UoK584mbEVipm8YfoB7tIWhnMBlW6TO25pbPptK/rHZWrYq/qwBLBp5KczyUJjhMGwR60Ua/AePkEfbFf80/Klxnq5i/EsnzgMixDO/ayLNL+MpOtht1kEY37IOopdZ0Wq8GDkBRJGg90OIlDkQb/snkN5Ysz7E0TboV6jvNQ6q5SIr2zky1bIvkudzNtewHnnzI82AO0d76Q40Nk7N4prXly8GctNtEw0VFAJOTjSM9k3XSGA4xB24ALDHJPTV9B7CWSe8iPqP1Ji8FWNvqTssaaCl3D0m3QZ8zixVTbkwBnZPKEhGK3wxcyjRWAHZjl5c6aAQFLqcwjT2y1xiYR+jP9s1AcpxfQE+H9lbYX/HOyWdpMLf3x8/n5FbUYjqrFDge2RXgqn3TQ+OqPat9oaBDepQexEp7Q/uWqgF9dCODmXd80npmdPGilxbZIhrKIhp6aTYxqZUprA/WxaRc14DLLObgKtLKakTtlU53aDtEnv0U/YWgrtP/JaLK1pNAQt4h/UjBZboHUg6kHEg5kHIg5UDKgfeHAzLxFCCTwNcjIV3Wo1ACcKjPyBcKKVcgooS5ahSAXXRE4yDBN097FV3rStoTXUv7JkFzt1337xI8M4UARGRBl0vyKMrbclwSUdRPmkUCqYCSdCEhYIz8QwUsJaxqvgGaVN0di/qiNvT1AfjoufmmBN8gpLqUTBOBPg0kekMJ5zCfxtG6JPKGNaldhvXKTE8aN7/PEKoXneKZItZ64b7AmObQSAKj0v5GwCQKdU/noQR2aWBYkIBhD1/JPMFNtKYeAH8bf0wPusS8BYIASUvpIMJpExUUnXiGXeYp0sZn1uBJUdRY+V/WenN2eIiZM9oo5XUsA0ZPKgJWolvgUS8Zipi0JjOF5loffwqE5MW/h0u1cw0qFwIEpalpK/+T3zRb37TCf/6fATCb1uWZyKRYpYxJ7xMfumCzM9NW/LV/4HV9tWuTO5E92QOoaj0yjcwXiPSLpjf3P/+a2SmC//z8z1uXPDdxb3rnN/lYQ/t4iOby0umap8g53pRlkG+TIEikcNlEy6tULgqso1yYS2h6C74fJ3tNMDmpPlc4azfROt+tlGfYI7vSdveYp26zs7M8M4GrcdE+18j6XYaXBXfOM24driLIPF7/br6LHwrmo0clzaNelviLHOjqAzJFlb6rCDwGTSYvmvj9i/ZY2AauKZWv8gCLgWwBk2r2ZCbL7zrH/xE9Ili3pv1FlGszlfJEwWaZQLNI065p9P9KFxpETw4fzIvFgS0CRF/m/6OrgMy0BA6knEh3QsqBlAMpB1IOpBxIOfAd54DAj7/wlwSHACcBUEK6hMR4Xc6TKL5EcBm0Ty7Ac1+tG/1DwBNXCJguW6oD/3IAIweXSlFCXb8VxtWYjgY1UzIfl1TphmbXRzJWuET4RLhWtFbuCqjqvsb0/pqUY9Sb+31ASPTvVHM1CR/QrDmp8Dqqw3DUu5ZF98Z3dE8NXTdKvTSIAlpqk2e9ArQqaifa1HPggjI13FfRp0RrN6Hl7OlLpOWjsTg41ILCP59afpNF/C8dBLqUTn+0NB1PNxJWKfAoGJ1Hw9wlN2SgicEnip6pXhKojRMWyPEWA2mCFnbwvwRgopm7tVG3S2dq8HaiUTLWHBFQawTW2SWoTzGPDx3+nuK/tJaKcKoeWveoiH8T44xeSgAEyy9903r/229408xXvmqVn/qcVX7sKeuvXPC63Np1s3/xB9b7Z79jvY2tI+3shHb9iXaljz9pwytX0HYBQEXDXYruKAjPTdZ87nTFZoiae7cireRNuJ2XAABAAElEQVS5UzWT+ax8LwW0Z9FWluKLlNjR59NTCL+JWF0mUvGZ/Ird7oUIrLE+nqs18q4mprGHAO02UWOPg0u1VXRXmc+2O5ikQ5MA1vtWfGq9bJAmMeO0CTyKtrgT9NJFAFcbW/s9vmcJNOv/BX6j8s/k5zPkP54s/pP+89NvpyhT2B3yZBLNuA3I9EepPtJWYmxMe2kwpT3uobkM/8eQLxQFd5nkmB/l/50z+GI+28uTd5TfqO/Q941b7/vEmb/3CpxOS8qBlAMpB1IOpBxIOZBy4DvIgZ+euupaiTqmq32pAsAw0ox5Sg+kvg5Cr/CCAvt4RNKREC2wdpRQCTIS+Fp9ItAigUZBf4fgKDdfwB8QgfTsRzO2UVxD65cjuuYiusiBrXA+qYTxNY/AWwgAIsASBFf5fqHWcHjjEMspi6A1kiYawl3hHgEAhE40H9KEhfyQQZMpQVbBU1yTRmdBOIFp8UGaWfmMaixp4/IF/Oxok8A9F46liVUf+Vb2kxyWatQGGKpeJsOuedQ1f0PAo9OjRUKPm7mymhxaxBK+hsEEGW2y6E9SfMS1iIYMQrZMEQUi3Sw1SpGBaeHZOK3RBzNyJHC6Xy9Ye2sKWs3OLVVthdyjedprmMmWiiR7a6Ph+SpH8YKcjwj0pfLoGfuoSX14BoHforlYrVrxv/4V6335a2Hy9/gz/+lPWue//+/QXqL9QtWVyZ4MGhv4c15dPbRm/sByy3v2RPHxOymJ/Evu7LJ+5exULkmlTXnwwtzIP9NZro1zl0IWWFvvrePTrH16tPRaObv+Mhrpg6aDxvtWTtvpleWxFniiuaaQlroLkNOem/R39Bct2lGTD22i73t1KRoU/Cma3BbYpw6O8b8U+NXvUM9dwFJnWQyHoD2BP9Lqs1n4DYiiUKedlkF7mQVUDvHFjmtQ+p5sa4Hft+JP8zwxrY2FHiHwFQM50ARUep5d5dmEBxHcPtdFu8+972VN5phrkXvpOeVAyoGUAykHUg6kHEg58G3mgAt9CHuejxLtQR9zNQmQAjkqRUwQpQ30NBpuiiqNQQIcJmmTcEu9gFxxiHAP2soyhtruEikVgzgXOpcLS3a2uoSQnDUFP9nsb7gm0odiDA0j/0MVBymqk1mu1CUan3E5he9+pZYaTSUIuBJAwxhaj6qpp4EilWrMAYhK7dUuFM6uZVGakKSO+QbSqkggRmPiwI5rpUkJuTsl1CoNifr6Px9Nwi1KFQ1HgVYxgC8CAboOa2Jm2vi1NJEi0udlTMz9FEVUwFdaU+X8HGhM2jGAk+vPB+DvQJcXAQLZqhPAjUVN3QcWXuplQbg5XnG20rXyTNeaO0Vbx/RTGrLFmRARNo6h8wzpSTYBAAdEVi3hE+rc8cEDEFUbTRvrh76O5LtuUnI5BP1vE7DU+Bpbwaha7S14wjM+AVwqEM3GbtMOhnvWWLjJc8ySq3XbFj1ljkY5uSh/5VnA9431ugcbukYQoPvR9CqVS3weJ/fkt4MP7nJu2db66x5RebJdHvPwYoVnStYSaUUPMeuVuWnuhMBKYmkAlOwF1iGfUa1H+8f3AvtDQOukov04M032VLR9TTSMGkdTHDS1z4bk9WT/+I/kaG+6AQ5JO4Sv6Uy14FYDLUxOFQhIUWN3CPLTagfLhLADpM1MtIqATd3z/c2wApzaX/oNKBhQP8MLK6LJqp9yZMq/csjzU6TYjNKRqGj/sr5stQ4hvOzCV9gG/H/Cn+j2JvBA5rVWqvv/NZnOjP9OdP+RHP6xoKvlXMO+2amSHuZ7D2p9763Yt0X6kXIg5UDKgZQDKQdSDrxfHDiVazoo6JDCQ0UgLueRTwGGQmPIcEqPMQJ2QkwOHgQwE6BEGwl8LkgmoEP9JP4JkGbxx+u1HWk5wFM+THQe6uERarvSvAUk5ogkwh+dfVxA1FARVDVggDBc604ssUdoIoDl2kYCFcnUUMK33+GkAEV5+Q2yBgdivhYNFzSZDgQRqqUJ7HHI/FUme74sXVCkSRQw0ZgSg72Pzj5m0MyofSx+XxUcolR8UluZAktn6kqfhA710cocbGLiJ42nhpKWUqauXq/vHH1AY7FEWg/WJPAYTGS5MVE0twdaERARWgiL9hauSJptWBXBvX4wtDWC1kyVC66dmxjCwcjSrNKWNImMmsVHMYCYuK6JpY67OdFaSygCfvbF3xvf/zZdDfv4Z3JkCPqUIaLwZNneb9p6/cCai7zMIHJuG+IapM+5Q2euZ0WJtOt6CdDdwDx2Y6+Nf2SbYEA5AOeUgybdP6noyf1Z81l7svJhf853tOH5Ts/kLb8lf9IB4zbs4PDQigvzvk/uaE+F9k4AmQGQ6tlKexjMUO/soUe+PF+0f/G1bfvdL2/ZJgF8BDI//tC0/dyPrWDynLevf3Pf/uH/Cdgmj+lkeeBs2f6Lf/8S2umi/fa/3rB//jXiPh/2iCxcsM9+YsE++8l5u76KmTSM8j0N3xz06mWJmDe5p/muNcpiQNWFqYb18bcddHhOA36Paq8gPuS1tCIvograt/zmSwf8/8OZFCVG9NhBB0uC9jgnqHw6+QFgds4LhRLPvbJpWYKTGSa10prKJPcMVgYr5Nt8IdOw11ozk0u8569TcHnPP+J0gSkHUg6kHEg5kHLgg8OBaQDbRxDe+lkCaxAII4sdWwYB00EiGsxgbofsBoQCckK4S4ycgxDqnw641DZo+LS6CNokMA7QxGQQohukPlBxwRjpUrkRBbTa/KloTv3pnz50UqATFzD5IhCmAD4qojNEKg30qK2u4qcAmdOgGpda/SYfgDq+twmE4/DI5wy9BvhTRjPeAOjQ3AoQMXgBX0NvJamYUgC0CvZ5YCDq4hwCf15oVkIgV3oRFbEo9GRdmlMHyE5rkrA9LoGHqpHmUpaUefwaDe2pRlAE2K4Ebv+mcVQrYCFBHLqwWe3gs8nDGNEU2qoqRtCFXu+vO/SHUYP5fSt2Z4iG2rUb5G6UVk7msZOlytg5BPytA/I6LiT8oMFo7axHPRRFVMGHRJl8FpWfM67whz//7TGJjXT+/q9/MszFhL3WBgDm/GhuRXpd3cZUu3pgwzIOekl5uf+KzWfnbDozBizx3uRZazlDVN062rg6IHMdDWi1nLcFaXrvUnhCpqA+ysn6cPGK3e6vAmjDS5zYpUaE3Dx8FfBS1Nid3V2+58hBGtKS+G+RxnHfxH569vK/9J9lrDzhXIHG516v2z/+rVv245+Ys48/MoOJc9u+8JVtAHLX5qYC/HjldtP+m//goj/DOExJUYkBor/9xU37X377tv2l71+wxy9P21df3Lf/4X+/ytrz9qH7qrYN4NY+yFTqlh8qGI+0k2xbXsB4PcTqBY+CfHlhvYTDwh+YvVeo85KE35kAI6awXjqYanfY2drf7E/9lv2/GUBmtiIfY8ZFExl+brrJ/m4DUjsVB6MCoblS0wpoRgcE++lIW8tv5HF+xxeLTXuBF0abaEt7/oIoTHmvfqbg8l59sum6Ug6kHEg5kHIg5cAHkAMXEMIWMHfEownqJMkFECdBFnkN4U6fgDqZ6iVRXSXUesNjn/kkcbyCmMQiAKgosDtojBr7wdRtdrqCOSH1+C8Wkj49mbUlRQK5ikClA8ukXoDP6/moZiqeczPckn6IwodfaRl+TZ2uAT3yZRQIU4nmdAMWEuFyBETqLyE2D30qwbeTcSXFBrI4hT9JtoFP8MrndCqAnBNFfUI1bZhPYFVV1Cm2bbhWA+alMv4Fv1Zq4bvGy4oemktjGiPRRtCh1DHy/4xTifYBfnFqG2bwadxEuJhNnk3yXMMd0UXbBXwVN2q2h3/h6mb2Dq2cgIa0l9fW6taYyuFzGPipMcTjMJeiiQpYqjKYU4drgYsjnPFqfVwkqM4nPzxju7x8+OKf7rjZ5gzj/4Un59Cg5uwrf7ZH7ssA0j/5+Kzdf65sL7zWsKdfxpb0WDnid8q9QXeflyUzmHD27cbGoR3k9qwzs42iKzG7PNb/rb6WMeu8SHTZ127uWYsAP9fX0TIC+KeP5bmcHKeKBnWns2svdF6xh0uX8f+7MXmbVCoDq5Avs+W+jOS8bLassMf4RKjxyMPsG38RAY89ojPnElrqAqbqb6cUeVn0zCsHVoOnn//cWY/UKoD4o59YZDzD5HX8XD50YcpOLcoEHtAHGHTtPWaxf/SNXXv0QtX+xk+dQ7vas088NmsvXW3aH/3Zrn30IVLLkM5TfpM5/Cb7mR02Kg+/D8jUmY2gwD/Ki6ugSPr/I9PHT7deJiK1TO+xnCgCTvGBlRZz2MN8G02kfhN6uWUtfI95wZIlXYmCXKnKulOuZdXobfLzZnrB79d/p+TV7PO8B6KHlDY5zLhz3JeGs4M5bplOH+fedebYzXXsRmc6xt5itHuvjH+l997a0hWlHEg5kHIg5UDKgZQDH0AOTGWqCH4IsDpEnz44gibSYY+DniDVBRAUr3uZrnUxp9UxXajaYnHe5hDmdcxy1PLkDxxO2ebNDuBGqRQyNj87badLp+xUftkWc4uWx39RfoUCVirx3FXUz/iHRBnrT+WXbBY/zXKWnHiqT45xvstRL78nM1iHg6wpBO8JMNNNTBm1CxiSZlY5PAuYmOblUygJmBK1sWFu0Uc991yrSN8e/pbSrkwKcJPXDvqYX4FPBPp0SOsa6ZAQLADtvpiMJ/ApTaXMiEOJfpbwxXkAEECTpHZxlUEjlIBzkQdBWUCQm0lqHb4Wzv5gk2E5BW7HWQDUJdKRzIeAKmu7LYLMCNCp37jM1RQxOG87h/Kz09AB+Hgrrp/rPx/quFbKkjB3GGXAy4TZ5aNavtla3v7uL95vjz4wbT/72RX7az95xmf8j/6dC/YTP3jKnni4Zr/01y+RgzJrT31ywf6Tv3qf3X++ar/8t67YQ5eOaho1tvxoR8uF7H5n30HSJlrGvc6hdRc23Rx2vCKz87mzvKxI6PLOk3fvvK4BJC+QF1O+hQKYb9w+cP9D5wX9J88iZjo7hV/xjL3evc6jy/venRx1CMCZnRm/kGnzskA+ziryo1X+y0NMZQ8O9m0P0LmLZnNvf39yiDe95r2KzeFT2SRX5Z88r35K5ZKBp1gNJKbqkwPI5HkasDuDuWwNP8sOoOzmdsfuO112v8yDBnlw2YPnThVtdasTNNxo1hXl1bWLDDZAK2j95AUNPwiBxwxaR7E3/soFXLsocQfNquW6c1jB1ixXaViuSvRpQOSo9DGZRSvZrwMaAZrDZs3HyRbQYJb38MdscBzw+w3acv8fhHQ+g1bVeo2Ka0WHebSYxWA+rCi13VbBzvJC6zF+K5+u7NtsNnkhMpr03rkIT+HeWU+6kpQDKQdSDqQcSDmQcuADygH0eVZEgyVzWPlZurpPwrGjI0mBAVJ1O0iAuqZK2pIQ/AeNAX5tSg8Sy1Z/y+4r3Ifo6lAjfNJvD8F+k0AoKvINmyE4SgVfuDIBV2QaO88Qs5iurcbcl/TUzB6AJg7OuZar2QyHUoZI9FwkYNAqUVg9CueELCrJM9AQKj3JPUgIUrglDYr6B/PTrlKLYBqcA9BpTgG40BsBHG2ggGcYi0/6xaI0Jz4WQrb3SG5JByTQGgGmA1s0fgKhroWhnZsKylNTmqHEzDdoSpO5maeHFouJvYguTZ3zgDyagLkFmHluArncdnPhnEwKaehmhDzETJKmJIxy0qf4k0zClXxUMwjqpdqUNfdy+FfW8a3M2zQAw5lHGzCJrSyU7PpaAw5WASHco6wN1u0lzEt77JW6HdoThY84f8ajQyNC/ZMPTdkfbIxNUhfRhP7hV7fs9/9k134Yk82PPS5tZdYeuTxlv/m7q7a63rb/8m9e4YVE0R6+VLUXXz20X/uNq/b3/+7DduV8xV56I+wr0aCxB0IryRPz/Vo9Z3vKU4nmvDNHjlB88nyfqwPLX84u2kO5B/XN6U0u/PRmH/OAbJnZ3t5uWAMz5JsbB2g0Z4KZ6kRHrV8a68fKD9tOf8/+qP5V+2j5MWr9jrcUnUszVXvDAmCUFr0DEL905px6e4AfRS927XoCNmXWLeCpPfpWRUF1PvPEnH3pmT37R//0pr/YqFaz9ulHZ/C5PD3aAXpZ8D9i6hrL3HTefvkXLllVQXgAmGXAqF5k6Pek35IApoCraFSOShKyelfdGxD0RyvUOrMFBbwC0CXWwEX+D/DfpB4AjRVIqMt7DAV8yvdPubZUvwsBYCm7FbRIc3ggn3ZVD4rGxI/NwS/9t6VpsMDIcgwxrx02Z3hho8rwm+9iXpsB7Or/HkWq1qHAWE4n22EeHn6mus1LpZb9v9sX9JqJvR2o1yjf7SUFl9/tTzClP+VAyoGUAykHUg58l3BA4lMBoU+C3Gxm2nYzvP1HcJOwG8GEm6ZKCqMEcUtQRwJf90hqhehreLVz1U7nT1sFU0AVmfq9+samNcnFqHL29DwJ6OUHpcixmp+AHmg9emgQzvYRYiW8lpdse3jo9zv4pzmAZfKD/r7tc1wonPegPAJrp8kheK1z3WkSCBSo0xr0l5Dt9xz0ceVn5gCXca2omQjKyleJFBtyPIbAOALQPh5jOYDzbyIpcMEFVwmofI1gW7eUy1LmtpEfvgjqy7mK0yb9bIMULSoa19O9iEL+iW4J8VqXwKOKKJYmswfNA4Bb0GoqciziL8K9COARhv5aMGN4PwFFvmp9AsJq4vWsM48QjxhvLQyLHbhyg9ZhZWiMcjNoj/B/a5OX9NZWwy6ifZZJ7KAPoOweWi3bxiS2Sq7Itk2hxZNvpmiPRYkjdjN7tpBZgB8CvOHOEK3iT3z6lP3BH4f8lap97QYBVjikhfzxH1y2//tfrQPWBvZ7X9myv/ZTZ+2w3rc/eWZ3ZBYbwYYD9ThhctbYHsgnj7YKPg6huwGwurl1aI3KFlaa7KlIJgw5lV3GB+/RY6O8va/SCi8vVN3/UjkzFTW1Wm7aaeomeeF8T5j/meqnRoNLU77dx3w0KZVaxhZrFfxZw97Y2Nm100tLBNIp+TN3v9ukrfbGPprLDvvh7YBLmYIKWP3Kf3gZc94mprwte/1Ww37z99b5HZn9AqayKtpxP/TkLHsmMikASL/JR9xeijyrHaPvsWRYe9wCwzYm2h4Flv1H21yeX50ivNIh5OgMe3v1MGdzC2jLuT0EAHakUcTHWuPokLZfcyiKrnw19ezDvMzNy6hMfQaNKKaygEo2mpOSIWhPJkeOTMCkIssOE+2p5laOzEwvrE1pheRLKuAqc9liZ9ba2Y59qrpmTzeWgPlvDdrj2j/o5xRcftCfUEpfyoGUAykHUg6kHLhHOCARr4xQ5vnhJMBhGubgBTFT/noq8rUcSZWqCtV+bxJAjeGL2QZpRZb4q2K2eu3Gjq1vBd+4lcVpe/iBU6RAIIBH+6i/nObV0DKd1PXiYMHnaA8BQG4hignfEP8pzArlx5nDbFQCY8slToEbCceASwc6rEyDubQbCFa0WwmuBfr62oKMSTv8waIvqQvN0mwSIIe+OmuewQD1RjJe6JZ0pm6A0FvATFSJ4r1wS3fDrMnc4QQ53En4qgbR/zKCSgHVocCiBtAYtJWJq3ira5Sf1sWUz/3wABgK7pMDNARIHdbvbUN3jQBQYL19gL3GYs5qv4LWuIroXLDWcH0MtjRH0k8Cenmpbt31WTsgKuraTtYuLAHYSPHhBfoWqh1bAxy0yBkZ/Q0dxDJPM9Oy54fftI8NP+rzqI+W1Gm37PEHa24auzehvTyzWLL/+Ocu2Fee3rV/9ocbDmQ/8ZE5++Ovb9sGUVR/8odPAdre3L9QJrHf92jVrt84AHQV3Vy1A4gXyKxn9q03i3ksgDyW87lzaCwfiF+TvTL++nauyvD/vpVpz/vYhA+3AeIVtHwyHR4V+HFSmcvO2m5/15+t7jfQwj12+ZT96Yu3XBPaIsLx3v6ulZdX7ug+PTUVwCWay6qea9wwd7QMFeK9awFpe3qpiDlryZ76+Lxt7vXsGy/V7a//ZLLhOH3/Y3PeJlLdA/AV8YucqeaIkitz3RDgR5t0m/7TRA5WsKksmkTvg4/lUEF1vLCXy4fgSvjenGXfYo1Af5Vr7KlneuzN/YItcX+O3/EjRV5L6EVTolVUTlGBUf2mdUb3z/9V3p39xH7lZdSwSdAjVKI5tKNDAU0thSkySmciTSZ7YcA8RpoTFf2OtBvdn5S2ycpHe78NaG13GeDewZb+0sAXn36kHEg5kHIg5UDKgZQDKQe+nRwQlipLEEMi2x3suYZLKUGkKRiBNJe+oggGNS69EW0Vk1gVgZlJYKk6ASAljX/lxjpmjGsu4FfJk/jYI2dduJR8JxHPD11z5Morlq+csSLRPXOFihWJMKooozMl+W/Oug/ncnHJFgvzAVhqIkTDEma6K4XlBFgCtGQOOhKnBJj0Fzw65esoAVV/AtTAVARnRUCNPo7SdiqVgqKdcnB287wiUSUxn3UQDogUkAxCaqChB8/CnAjT8QqWiRLRKNA4BgAJL5M68aCvCJrODLUO/NC8il6bgWaB0AKRV3QN6WhtpMnpoVnsOH1aXygaRCUMFlbOJ2tSzSyApjTArFkAgO+LmITqItxVv3HJIugX5uuAW7P1HdJ3YNqsNSbUW0UmzJgkdxNpX2Mt2FwygABPHFcTaLbAgywa71/+/P1JO0ydCTLziz933tY32/Yv0WieQqtdwix2fqZg12+37A00bdVK3qYAN9LAVTjLLFd+gZN5GTXm9VvbtrbVsj0i9K5nVm27ctN2565ae5k9qIAxyd+ZzIo9kLs8osFpS745rxJ6jzS4y5cqLxYun511zaDA0BurpDkBaL6dch4N/GRpV/fw5Zzz357q17bJ16kXG8eKgvpIY9kBgAat+rEGx77OwstX4eMXvrypx83vikA2RPy9voZJ+mw0Xx13OsSncu8gHAd1ABr8kAnyc6837CrPRDkxX8Ac+Q36XzlXwYIB3iYbo0+aEGkpVVwDqqA65J0UmPPIttTfbmXtWV7o9GbCb2ODwDqvDPP2rwCCr6L1VB5VaVoFbPXM22ifpWHUeGUCPOXIean/n0JhRQQA6jfxvz6Ad835pJ4TYDZTZn5MvTMVXmaNXi6EdCltIsgqVYn2qn6fhfaire7NW4ff271UUs3lvfQ007WkHEg5kHIg5UDKgQ8wB5DbbLWNcFzj7T7CWywOlhDePDclwElnB0duf+l4xMX046Ay9ge32S5g4eZL+2gL5c9IgJC5KYTRQ4ChtIIyR1V+wCxpEAoACvyoJgukRNHRJb/kHj1HrXQ/gDYiZ2KCe7543vYByDHu7RRAagrNqYpMKKN5r/wzt3pbpClQdNUwi38iXGo9AVxwBcCWhlNr0doFdDtoinqAPrEhgMWESo3PveA3qRkZmTUKzARrvaSdbiUlzi3NZ+AtNxhXoFIXTgcTKfAPw3s0S4ZUE//uNDh9CNAuPQpiMioNqAmD8alLhvA+eoGwmEX4xopQvpNZQPVcBg0aoT6b7ZI933vIPj71TOikzwprqpEoZq9oNzdbVkRLVysQbMU5pQaaJ5SMFNzsIVEvIouABfeN1fyq0iJo3yI4zccfnrGf+dFT9luYwJ49VbaHL9f8/oepvwZ4+eVfe8n+OTkV/yqRSaVB/uOvb9nrNwjIArj4GJq1X/07D9Kuad94Ifgofv5nztojV0ihuf2nNjgPIBejAhl3fC5lFu2R/MN+/736kOb2zOKU3SByrAf4AWBeOTfDi4s3BykFHtxZTMhv9VadFAXHmloe2vxeybb2W/h0dgjks2tzc8uknzk6llKVtDGLDfslrCRh8R3LKqMtfPbVA8xgN+03vrDu6UPWdklBMp2zv/nUOY/OO9lJ2l4BOwE4maPuADT/PfJhvnGrZX/7H7xsK7wAuEn03o9gyvyXnzplB52g0ZapqpEexIseennff6N9Xma4HzDjbdHmax3UghPKXbXXb5lXGfYiVgvre1l7bLpvc2X8KvWfFCWY12LGSkTZDAGQMoVtnL5LHl02gFl+M5i3u+9mbxH/S4L9kCtzKF9QfoTZEoC/sE+AJ34s8tuUXTxlQB+BVpHbwk/0Bi+bIlD2BvfAR+bvvcLTTEvKgZQDKQdSDqQcSDmQcuA7wIHTmLP9hek93uBLQJTGSdo/RK0EOChAi/JU5gFjElA8yA5C4mFXZq13iiw9stJvERl28yZRZPGdk4B66b4lu+8cWi3GFABx0IbMKPM3pXZYTPIEHheOA4AbM+H49zi7Ul+4BofxJSQmcMYBSwCLWle4kyeCKZTZzgCTRAG5UD2axIGotIbQGQFpuMnYrEWAsYMZnkCPTGaDnyZCKmtRUCABTLWR9lb80ZpGRdeMXe+iBUTmdR+w5KaDLxoLnnkzruVTWQbUKvWI7iuKqHBTH62l5pKpr5ZVrJCqwdcO/KYz8rJm1mS+DvGmrwBBFAF0+dcWMkWndQAaXcdc+BsbD2DrmrFHS68R4VfPNhQBhuYmJrGNApFDMakkmmyF9A7EN7WrmwM7PV8GpJQ8rczt9m07HBza9f5Nu7940R4ogfhgcMJ6H1BUZTBvrsws2T/6J7ftX35xy6aTPIthRmnsQtqRZTSURdZ4G22kWz/TYIoopgoCtEobabUEUn/x51fsj3f/yBqDsd9fHCueNe/Z7IpdyV2xQ/x55zNzoz0R25x0jvvmpHuTddv4Xb5xm5cpycsC+V6eW5oCuIxfiIiG0Ybw58Ue4GXHRm8DE+WwZr0c2N0a2uuvBpNeReZ94Bwa+/lFvDTHEWVv3b7lL30WFxfR8sksm3cGzC0/wrFWL1Aok1jxTHz9s5cP7bDRs+W5oj1+ZRo/0aAR3j3s2cvXGuSw5KUPOPaQdCMaU2PpmCW4j/wUv05+y/Wdtp3DDPkJTJyb/QM7xA96CFgbtEgH0oVG0FkWTXGWnJdKOdJvTLk57S38H7/Oy6zh2zA5FR8eJ0DQLBdz/Fg8PybnYQmtJVFhRwAwMcMd9CCaqLLa86EkoFHtybHbJ6/mqLCnFUm2D8iVmW+R/4NU/vVm3rZr4XrU9h64SMHlPfAQ0yWkHEg5kHIg5UDKge8WDigAzSdrG7Y83EXqFzgTGNCBAIZE3wNI6Vwg8qgEN6XWaCHET+aljGttHfTt9qttO9jB+NQ1fmb3AywfurJs8k87LqhLeA1FIGz0ZdQuto9ntZ28TjpzCiDKv4+QDGMKIDJuHNsjrHJ/f3hgdUCQJFSZl04WAc4+zo0yy3VNnPon44zaAd4ELDVvBOOaQ1NHANp3cBl6CC5KWFYRsG50CGaELkEmyKE6oTP5pnYevZZOMkStlkOQGEXWVYRQPQ9/Tgj9MpEsVgGXAgH+x5poo8KoaHDkM6qUD4CFxIQVSIzQTtoHcowKHO8BW77We5AAP0WCJa3a/aXr3j9+KAJnB//LbmdoS6QOubhCjlEE+ddJwbEyX3Jw2YI28Ullb7hnU/kptJzTR56X33V+ErRmiLnr3AX7whcP7O//+hve751+/NLnL9lTnynbV3a+xPPE9FEDsJ54juPNZmfs/uxFk5+jnoX8eJV+JzT31rHpnec43p13RjV69gKWbT1TTGPrLaK4oq2/b6UGiIv+h6Pmd1wIYK721nghEZ6bfjs3r3Vs/Xb4rrHOLc3a5XOnrMaLhBb75qWrm1abmbWZGaIn8ydtoyKgyqfxpN+IVslWgS6Z1CqIFf7KpFHpQrP2bbXMywrOeoT7hwTrUoocrqXVi2e9CBJQ1fia65BoufqtePRi9pQDPO1h9q2nEwEc9g9kxp61tXreniOQVJuIs++kkCnTqhD1/WX9PwSA9vmYE9CYUaCgWJR6pKuUJfB7hDwhhT+Byxx+xAKmA73VUWlO4UNcxMxWJvEZu4m29N8QjTlRaIY298hn7sf/9n/7K/fIWtJlpBxIOZByIOVAyoGUAx9wDihNwhpv8S8Xd13IlDDmwikyoDR3A7RegikCXZ7AHQm1dYIfWH23Z9eea1l9LwilSiyfu3Ro+6dv2au914kwOu35/sSOKPxKqNXYEQC6ISmSbBAZEVL55y2oi21iX9WPrwPN+h4PLkbXqtscbDngkRZQEWh1SPR0/8p+D/89TF4RXAXEpL3soc0rEanTSUzGCl8Q0BGSg8YyaDIjLQJ4fs0HowQZlyrNjwjv3bWkjgLsIDBr7rguAUG1U6oXmRHruThv+JR/nUyIBSwdwCV8EX8caNI2J/CuP66VrN7Hpq9AgDRO6h80sWHUJgbEEWCVuXcNXzX5mu0Ppu1q/ZwNCLgyXwtmp4ZwruAog0bJDpoKuFTwXJe7hx1MCYk0jGmz+BUfWDkjjSNRToVmJoueo74DvIf47HbqW/bwg8v20589bxuYXr5xPURKnexy0vVTP7Bo/9Pf+ZCdvli3L299yfejQLieibjmz0Z85/pHin8RjSXRizMCeQGAFwHVsYhfb1qSMd+sTR2QtYZf6rnlKVsETG5j0iqt/CEgUylLChPay5PGyfG8DnjZgX7Zb8vPtTaTs0Ne1nSwBJAWffdQZrJtwGoZc9iu7TcwG51VZNfAY2n2pMkWkDu5DO2w2cP8mVkAoorMKrAWi7Se0gQLVAogS2uuFyJxPP2eNYe0nk3W25IWvbprvNoIAXPwm4zPX8BPQbcG9VmqCAhE31U0+mt3pS1ScecZA1gCMmXsm2g96+2MnS/zvIjwNcAkNtfjpYsCCSWmr5l83zWmQwHIJICPRoQEtP38PghmVRhWyXPKPuO+Xq4oV6nKM4zfYM33YknB5b34VNM1pRxIOZByIOVAyoEPMAeUOuNKqYKguB+EcwlZEqoRBgVaBCbKlTLmaAh1/HUJyhKLchfu3O7hX4lvHknaVRbnp+zSgzP20XOX7VLpvG32tu0NEsjPADCn8LUUwIiHJD9dq+d+/9C+2vy6Xe3fsmvdW7hlle2wV0d8BQyokVOns8ibFAQnrwNIc4kyNLU+tqQYUTJ3FdBG9FC0XC3P0UlQHGlmAc6xOMhL5pGpq0fPBTRqvgjcpLX0a/GHI5IWSJJJLMKtfzlGlyZhvW2ArM4CgA5IaaYclhLI4xITGObzFAGcat9FyyqgEWnRFPG6gPAuUAKV3tZBJ4SJAo0l88wMQETXTi8fSkciYKNWeZ7darEmCiGGZ1Gq2SIRTIukZyjyt1Scd7ABvnGQMoWma4b8l5t75DqFT8Rg8bnCACIB7Sp8Om6i6feloeszEHzqtXasADj4oU+ds8c/RATTnY6t4q97UvnoIzP2n/7CZfvZz87a840/tZcOX2QtwWdV2sknCx+1BwpX7FLuoh/35y8dGUa80BGLePf2yrjdSV12D9sO2uQ7rAA/yuN4QFAcATaBsdlpTJDfAmAqf2tr0CbgVNCk61lKS9g4VPCmQGUdH8xdUpUMAFcyhZ2aDpphgT62BXUnay3VWz6UApMyA42A8aS1CxQznO8zp5mly99RvJL/o16GqCgKbKZIQ8xNvY7UI2qj27khprGAN+1Vgbd9orV+44ANEgK2njTt26o7gIevt3K8JOIlDLbfeWzAZYab602xt0MuzaH8KwGZmbxeHkHnYPwiQS9m/F2Z/ELxYZUWVzTfOMzadb2QSV4OvS1ivosapeDyu+hhpaSmHEg5kHIg5UDKgXuFA2/gC/VkZRWZC2ENoSumu9DZo5QGSOJRYgUwpdVoNwa2/gaROTHh62EyKWH0wvkFexgz2P2pLfL4beOPVQekzNl6f4vAJev2UPH+O1mGRCohrw3ouIV5oACSRNirrWt2q7vmQvdGZxNJMWPTAMTjxQETYCYKvkfu04eYrz6mQKV8AuuAWG/LJNEs1teJaZ+buSJk6n44Ql5I0ac/teN05Ah9VCeogwbJ24YmWocKI7s2UrR2ibKqYDca07WKgD71iRq3YNWnucbzye9VGlWnQuNzaAYfA2DpfSUc889bIfeL/kA31QLEGk9zCRDDrybmoXxzkDlDVM2Xu0sidFR2+7Pwm9yNeV4sgHaKRBmFDGu1pOHCFw5fS4GVDSLJlgARxUJCE/PoyjXd4tdE8RbSXLrmWEQS5Afw8aVnrlmZAC5/5bPn7K/82DkixGZtFe3c9GzB/u0fXrb/6m9dsR/7oSlrTV2zZ/b+jDQee75mXx+DdjIEv+HZLuWWAMx3B1mRlMC/8G3yOt5/O+fYr88LkN36EA0uMJyXMWWQtp5VAw1fGy2gNIXT+KuG/JB3H1mpexR0KZYiUXOLmJG2WzK3DTupQSTa/XoLbTYgq6KgWPKZJLKv/2bF3TuL9oFyOYpe0Xe3IpojgNQTdA060wq0ag0aQ2VIQJ1cBfDG10EbP0sFyImFOcZ+n0Fr+Rz/txwoZcl7UAa8+LqN7eo+6UJK7LcZhhXdBsjM4MwJZCQoLH6dgMssZrm5PppKIe+JouYy9xXw7eCz+UonZ3vsY9+0E+3ulUtgfVpSDqQcSDmQciDlQMqBlAPfWQ5IezmdaSCw5/G9C6Ecg0gWPqXda/UbnhJANU2S2994EVO9xAw2Q2qKzIVD2zm1Y7O1H7ANBLYbBCrx4kMEwVeCrkoUzPUtXr/YeckBwwCTO2lJHWHS7WrzhgequdVZJzJs0X504TMOnDROAICAOsaNYynCqoNFzpq1yJp0KMjOze5N+oR+6uBCtICXWgYSNSyAVOoi/BdRdfRbTQT54PfoN+OHEHbST1caV0DTQZ1/F8yjPhlX4rWC7fh66SvhPdKgC40RPkKboEAGKIHB6BTa6uQNQxs9F/WUpjKbTOTTqb1fhDGHCsqEdlQBfPwWJoHS5NQ7+K7Rr5wp26cK1+2r/QsjepvDor3Yuky+0petSq5IReVdmKs6uJRfoVKUXPA8j33bOugQUZc0Ig4wtZBQRKrISEjmGp9WwFgkjbC9mHySM/FA+TRv28tXV4m0umL/1lPT9u/+pSs+yHp7zV5sfNka23UfpwsoFi+D6XBgjZ7fTm8HP8Im4KfsKWrUOe6tSIcPmHzEe8fbjRictIt71r8me0rXqh90tlHINYi+mwdk59BczvhLAWkx660+msaWbWPSWuHeaSLK+kuAZNzjJwH4hdw8L2V2/JZw+dwiaTkAmDeudqx+oI0AkEaVeWtzx/0lL547Sw0NRwz1Jkc+lMZDAKuUBK45cnPiizSgWpNoFKDUbypqnqWFjU8xR7AefmE2bKDpBpzFMsyRBzNH2h6AcFb7m5dNb+zk7Hbl7oA29n2n521edBwy9zcBkk+5Pyb7Ct/gIS8q9JKrOCBgD5p3pVUSENeaunpBAx+0/6MmWYle1mgff6PvlI7vhvap5vK74SmlNKYcSDmQciDlQMqBe4wDH8HM7Vx+E1mxbF0E5QAGgC0ImPqr9xQAJwiph7t9u/ZMy1qY7EmonZoiH+UDqLSWWq4Zu9q9ge8e7Smxv84STs8Xzrog7hJeaODoQCLqq91rBLxBwMU0bwio6+E7JQAwJMJJRuabCKwfKT1iedJcSPMWNHAEU+lcw2etjlntHucDN6cVYRLWI4DQ9NIezmA+KUlSQV3y+E4WMPmV6au0tZOHTFGl6dO9Pj6ZnZ5yOsrUUZFpMV7kOvpr6uwHwqsiufZ0n7OEawdAWhyHTuKCgpKIngBokxvUx6J6V0KyZgXp0RoEHiUoq78+wlNRhNqx4C4zZp9EQ+pagrT+6K8/+c9qPerrDamX0N3Eh1Y6nxl8K2u8JNjAN026XpU+9Te6y+QS3aSuaa1swxZK09ZAa90EPElIXyEq6j7RRjsAEJnLBlNf0az7Y71JmBXdLuAS4jgy1gEcvLraAmAGf8syADhHjs2blW9iAvmKvd541daJQivhX0GklFMxUMbzhHYW589V6xNYVqTa+7Lnvf2kz2fso/axxL0Rv+usu86vpF3Yt5Mtwn09gX6H3LCsRc8KNgCwpanLuz+q+KJIrzKZFWiTxnGqjHm57IfvUrSGCgBeL0GCT7Avj2A7RXt48T40oV0AKyk26C+66q2WNZstq02HtD4CgietqUPgHi1HmkdpFU9qI9Nm+Vzys3ImiH5vD8gUONV9L3mAfZEXLw3lNNWLlFCtT0WILfCyQODSechLm6+St3JQGvN83PrdX7EqNNYZewl/yR1eZq0AwjMQ5HljGT7TK7MGYv+glRRvXFPJGgWco6/ll9cKxPbh4d3D5d5e3T384NKlpRxIOZByIOVAyoHvZg48WXwR8ktoqU67qaSE56CtbDqwBNeRzFxmsB27+nTTOphGIjva/Km8LT+COd1c3c0RnQcu/XKVnF2rCDDS96ebzzuscKnUEZZE6lA0RxSE1FVahhiwRoDFYQSNY3vvhXCZJyG719FJQ15r37CN7mYC4gKU0uQRKMzmZ6yMEK8+CYYIBOjTK8N5dI86CcsCM3kWLT9FN2tFDamzFiRgo/EF/wR8I7AE8ozHTq6SlQQBnDE1pQjRWXO4OayAMd9FvZ6DC/feUG29uX9I5Ne8ut8nqE6kQ/00c/jkIikCmBrZ5xBPBaoBRIdZAB/jXMge2IeL5BA8Vr7eeMT2+gBzSrlCaosFmdmSJxXt5UG9YyukDQH72D4Bf2KQGdE1eYQhNXcFzfQ0kWyn2VsVQBn5CCFWa6+S8mYwhYZSfnPxD36zOvdH1HMQYI9nrcW1xdpfrFb7R8Gb4j4KcyYz088nSiojbZNt4vWdTy25ozEoDiy7BDyioWifAhBPA7pubeHPC5hTEdC+fJZ8l2jOpPm7Sp5XBf95qyKAGZ4+vCY40jlyYdYqRXviymki0I5TqIj+rf19e+XqG7a7f2ACkcdNQN3MNZlQgEp8O15EfzR51W09h3ayBjeHda2lliqu0KA5yzMEQOLnqL5eCKyTLQJ8vQKTWsDpq4c8t+qd8yU93tPTJmv7vRYRjNEj7ytqLHSJ5+EZh2ekNcoc1i0GmH31APPauZN2yntK2vs+WKq5fN8fQUpAyoGUAykHUg6kHPje4sAiIf0fKdxGqBRgmCPMCxoXTAyVIqFP0BWBPvnZ3Xq5ZTurRA1Fds5jlnb6EoFe7ivaJlotLy5oChKMi6ok4Ck9hmtHCAa029+12/11O1c87W11/7XeNdcmqr00gyoeVZWzBOLgR5e1M4UV1+5I48gN8lXuuUbLp0b4VdsOaTE6+DVW0GEWSYo+pmd8dYimU/6Rk0XCs6gfaTwZS50lsDvoc00o5oLSrEqLyKQCczKdVaRZb8ynaJFWVQBOxT/DUNyTzyXBRwCloz81YC6fzs8SeEPfIBwzIl9dC6oxBQpje1o62NIZgkRPVmo0irSX+q4SgMF4LQrqojF014E7YwoaFwiAskBk2HkCtVzvTXtffQiS7vVraDd5iYD2slbE7BA+NNkX55ZqNg34kWZ1gxyIui4SdEUvFTylCudAr4ClwCzBo/JEbwVEvXJrG3NYaTLl25e36Roas0XS4pA6wn1ZWbibWpKb1HlAO/HJP5g/PAso59oXw60meTTPoSHXXG+vBN4faauHSxHdyYXPmXzDVHo91Puk2h+YX6OU3GkAJKFFOUG1Z6KmUpFa5RvZ4qjhmxnNMpNBjpxKAMoSeUilvVzOLZOTtOB0lACpCzWCUkHaLn6Xet4qMpNtNpv+3KVx972X0K05/TnwvO8W8EdBfJSSJOxx7X/thfDM4hyaR0Oi87NMhbQvBfysteUJjOP3SuQYBWBbB5N69nYD89RXCDzUYh98p8qQh7CFP+Y2aUnanGt6JpCn9UXTYPk4R9/XrzXz7zg1yndqLe/lPPc+fH4vuZWOlXIg5UDKgZQDKQdSDrxrDnys8BoiY9C2aDBFET2fP2cL2RAh9BC/yte+3rC99ZC/sgCwvPBwyZYvICQLZBJExYES0mci0waaBCq4EjiVDC5zV5mX3m6u2a36LW8TxGNFij1wjaB8KhFvvZ8+9edgj7qLhXM2lyO9AcWFfjoLRMq8VSaQAlMCJCoCVRIom/hLypRVhDlt0LTV2sJMsU6aB0xdO+OjR4oHAdNmu4Gw3kA7C0iljUM9Okto99QszOvAhzoJ4dJUSghXqhAVgRqZn4r2wIGEB9xzXnir8KF1aFyBPfVzgE8//QuA0GfwxqIjHlKYhkMcduWpQ2VpenuYYAZQALgDkJCsgb9YRK8vwNcg/1T+eWllu9bMywstwzMFLBzF3oC2oj1/eNkagGPItfm5vJ2+0PcciRLYVxQttVKwm5v45iLc67m14b+KAE4EmDo7Pcy7uZsEV6KNAuLkptmHpUS753SyZn+mIjKhlUutoZ/40AnkCkOHY2gHwzovK65q2hOL5vb5R3ePfdO8E8Xp5rsoUOk2tHf1JI6WMibFK9Mdj6C7Xx9HvK2RhzSmI5GWd3Wz7nvzaO+j36rZKibk5/AVDtFOw/M0N7WVBvOJy6dHwFU9G+2WXV+9betbG67BbLEHWqQdgVFOd6A9rmA8l56LzEj1e9E+kFZP7JafYrnEb4q6OLcR1TczRcChQpsXC/CIIDoqGjVb7HrU1gHAThrSg+TwBt/hjwbmsa9hjv2HRK3V/i8CKAWstR6ZBat8cz1rave9UO7cqd8Lq07XmHIg5UDKgZQDKQdSDrwvHCiCdvIJ4slOpG4QMKoSFCOzNmtvPN3yNCMydTu7Mmt/8fsfsNpS8B0TACwTxOOB8n02j7mp+kkgXQQE3l+8kKwpATT6JrmdQwKrjh6a0RZ+dIoUOxL14gVSrgML1/KNhftk0LHgyzgRLdSbh4j9QZxa7d5OmjKg2kCYoqXKDHQEdJxirSLMpfmAeqP70uKobaBDNETiNKRADYK5L0jDEwAI01QsBn08AdAA3gBT3IvFhXWtH4F+fNCHfioj2tSFI3z3y9HsYYWiegw4dS086P6ZHRLYA7pEWwGVWh7/P9dQQkf0DxXZofgkzANIGTYBkQ2frApAOV5aPGtpMPE+tTzBe6bRYO528T2ED9LGnV8O6TG29ohEi3ZZwNnLxPpFn0D6+s4++RpDygiZjhbwt+xW9wnIE+cFHPOiQ8QomNBkieufrNNafUnw9lr/mgfGifvMeR4bT+yXcVXoe6RdvJmch546hSBVrDWUZG2j+wDuqZ7NV3qYC+OTnJiWtnhpIRNN8Ufjb5EHc3ufwEOi401K+C2FZ+MPJ2krVt5/Zt6efOC0zU+P+aJUNTfW1+3m2k2i1AZLAQFuPXe9aFH+SmnhJ6eNaUz0mIKGPvxUBML8ngagDAoNy1XRMOdCpOh+Z5ziw6oHTt6gB2GUPhrL1/ZY69tVHHuv9/5jwLp/p1OyL3aKtgMxKGe9KELsLhryfgI03/uZP1gj3t3L94NFZ0pNyoGUAykHUg6kHEg5cA9w4HTuECAYzBInl6MUCq9e3bLXr+K7iJAsTcbFC4v2wMUFQAWCI6lHFGGWK7oJnBHPJz/vuSpVFU0ag7iZaKoS4U5gaQhglAC8n923Nvn9qpiwFvCd3EODGcT8AOoUXlVAJIeG1OuRjJNhyFfZclADXBzVhbHlg9i3hWLwT/NclPQTLbrvmkIF6lG0D6/zzxFw80qHbUHbJslZ/QQcNZHGcY2PTGOTmcN6wz2BuhyH+qiDEtKLekWK9cIYEvC7jKc23ox7wSwRQIqmRdQKwigvZ9bRgHgWuoubuidoEwFpBCoR7ogGEIUNeW55wLTolH+l0w5gEOV9NLryj1RdMIXUgOSxRPOn8R6o7Nuf2wKVR8szrQcZ+ro9WCKAC+abCsJ0QMqZmdw0PpM5O7NYsVsbDbRsHZurBe2W6BL5ApYdnrvA6NZec6TBmyGPaqbStkEFTScNta6wbCjnwvns/OYeNKourl3A/0Lu/IhImZOuDtfsJvlS5zITmu5RCy606OPFJ4zzHmvCvX57B+07GsnYdwQynWQfTWtcXpiy65sDB5Bnl/AtheB8Yh6qfSKgeWOjTvTWPL6UAaSFvXKcoPA9Tjd5V5ric0uzHuzn2dfXRqbF4u/a1jbAsG+nl06RyqQU5uc3O0DbqLk1F92T58Gz5+Ho96jlKx9mlv3q19JOUoaZHhYK7H2ApUq/y4uKXniuRoTYTIHgVd0Z9hPBmADQejVQ1wQfkLLLAr/UYY9g/l9j/VO8/dnoseh3mXfzA7K8tyQjBZdvyaK0QcqBlAMpB1IOpBxIOfBecaCWaZJmAoF5Qmt52GjbCy9jurpGKH8BJYTNR66s2IVzswjJpBYg96T7HCKkSiMnKCSAISFf2hZJ/wE06UxdRAEQ/X3lJ+xm7zY+fbN2rXHdShXy0/E3RxTXMikk8uSqOxwSaVZjINsOEAYlzRdJ0n6+orQL4yKfUGkidV9zDxEi6eaCscBHFbCjomv5A+pmH0H5YLAP4GPJSk+C2at8JkXDuEioDt+l9dHYHZnWUldgvgAsJ41N1Zs/xneYndCtvpob5hDABo0o3wXI84zXl80ptxw2xemQd0OgHUExZqNewFJAMJR4Rs5PahIykzXHSgGycC2QoeIA0+1cAx2qE6AYF9GvykBTHe1llsA+mdYCfB23ile3e7NE53wZ+rI2n130/KdNqKrkKjZH9GDleFzH/7JCgB4BzlhamB07T6jY2ENDSpFGT76x3SmiwhIYRnzWn/ie4xlpMfrzneDXujsu0jSfy473hvbiKf5I4hHm8oXFJ6rhJ3uPxwk8Sxgn3kw067W054FNE9XxacSzRsqVlgEvZVuabdraNpFc8b2cmy6ixazYTQClTEb1e1LAnNdv7duD52fd1FU8eTOAOaZyfKW9sjhTtU8+csGefW3Nrm3s8nuFT4y1ubfnL2/uO32W/KFE/6XeczuydrWJ7UQ7w3jRfdds+n2xPaxM/pUZfGC98IZk2Ip5LXlGBPERO4c9kBrtBXqli+4T9OmDVLSHrw3cYxRTY+j7HjGJ1TM44ef7QXo0KS0pB1IOpBxIOZByIOXAvcKBEmDjDIKjSoYgIpIlD/AV+/Pnb9n1WxJUB65d+fhH7rMrlxYdBEhwV0qIAuaR0jTqkBCqY7275YCtQjqTuVwNoRVQyP3gD4nsyd8UvmQPFq8QqGTJNZYuwDKv5lZQnFP5JZulr6T4IWkDYpGpqQKbcLJSqRz8CEFfDjN0RmAUkFU/QTyV253b9nr7qr3aej0czdfsWusGQKjLGoBs6ocwrGOAyaO0aW7mmqxHoyg/ZB+zRgE9JHRAAv5m6qs/1U0UtQm8kHau4xpXX7WPpyuBcTq4NO53kvaBfxLsIw0aVv6XikyrYEZRqxlAu0D00UPaWB1jUM+6mEtrGLAGB5miz6GqqA9kqCbwTO3FRP/KB5esoUrqi5PKzmDGXu2cBUiQ43Kw4fS08H8V/QI9S7NEhAWsKHqqlKg+NlN5KhT40QR87pL/UUWBagQwM518oFOVIoU1KhlLWKueKi8QoNHJ5EO81DHyS6Sb+K9gSZUhmnDSU/hLBT0oHUmZWGKs8n6BF6OqIxcOLJMajSST6Fg0nqLfFqYusGY0sFTMALALvIi5iX+lLEvPkONyYbYUzGO152jUxOz4OoBT5qcq/lvwq3f2UUED+hH8MB86v+z+hXGs/XrdXrl+1fbr+64xbvN7kuZSz6eIJYACP4l2AU2tSaBU90RbXN4wi5k3vqQxh+qgx4sCQJoX0pIIeJbap0bgVWvXct5vk9hA4J2fPdbX8B/hnffu1Zo0Wuy9+mTTdaUcSDmQciDlQMqBDxgHpjJd+8HKS9bGtDGbmbN6o2svorFc3cA0FWlzikAkj3/ojJ0/PevCpyq3+tvAiTG4UjtpmAR+pnJVB4bTnBFRXUgVUKyQ+06moY0+UUYzmE5mKj7ePhrEUh7zOkm4lBwBbQTQtrq7nnvRAZHfIwF8tkCuxWX8AZvWI7CIIoLq2oPpMBqwUNK5m7pKSJd5oPJNFsuMz5jStHYF8mi/wwAAEwBJREFUEqFTQzpY1EUiYEu8lmCsMQLtErypYNgIjHxcDUa11q3m4UO9E2BIh6DTZH6F1VUjjgD+ENr5E10ecEioa6JoHoEvFV17H9GrI0wUaNH95M+pHAHN0NbvJsRJjtazEXCNJrAaym/7GNzX2etGN5xnBYBDG7/J/YHA/p1FvpcF1jidlynzAJCnCKddj+YrsKhIqRu7wbdQOR41B2xz0L0DsLy+GXKhzqLdW56bsk4TrXAZbWYRMMNfnpcJWTSXol+dBXwG5D4V4BSqVITYheyCfTj/qBPn4IwHE0Ga+KZcm8dB9/GVxPZH6unLrKMyUNqRURk/twya2ixHvnTUfDgvAIdP6to2UVwZqEpaEgUsqpMbVCBPGj49ky7AX+sK/JmcMUymNbydIn7P18quKd7H8qCTaKylla838JdEYzozhcaR8aLWMs/LCPliqvgLFkCmaNXeTmrhNNzukxqF3KfuY9wiym+iys5iFq0XR4Nu0QG0tLKrpB95tp4jCmsCQN8O8WmbbysHUnD5bWVvOnjKgZQDKQdSDqQcSDkQOfBU5RVMUfvkOJzBZ6pkz750225jCiuhV+avF84v2uXz84CSICgeDsjhB6iTbO9C70jwlSgqIZgjEcp1S9o7CfZFIsDOoNkp58v4Om0RifSUt94fHrg5ZARPaqvor5Jui4O8VYn22AOsyCdzObfoeQ7rpBBpYcZLXFfX6mmecEhoRssImBBY6CvdB5JyHnCUR/snDZbmkZ+lgwmuBfQkTGteXSvaLCdN72M6KOOLQKKDVxoLrKmtxhiduY5aR0V8dW0o4zuPksFcS+RzwhcHlwpqMwFSuKfivNC1H8zAs5BJo+bTHCJOGqaQCiXUq43qRW+ImBvm1hDy39Q9MdzBpabRkZwEoWIqE93wW3xIqyteFDEj3unPw/uxaWvoHT4PejV7HEBI8hHmh89otTWKNNsl8kAI9Gzu45uJz5++a3zRv7p96IFtNIpA14XlKdsmncYQH75BucVYQWspbXYPTbNAomC7PzCBaWhbsHl7IH/ZAVCgRmwLi/Oz+MHhAYRYjF5eiK+hRejhzxF6Yj+vPdZGdQNeeDhDxJSkZHmJkgNUZvPBTDSMMR5dEUrVfGu/4+CxzPorgGylJVF6DJmhKveiAv+IN1WCLh0vR+g6fvPYd/kWzxLgZ47jgEBJCiSkIoB5CMCEEzZTq/kzUb32k7aGg2++u8kuY4Scl1pnouFk38N+N30dJlrLYaHFM4Wn3Rq/c/1/kbVb5Jd8upW3xnT4/0JzpOX958Cdu+r9pymlIOVAyoGUAykHUg6kHLjHOPBTlWdssbRiO0pCgivZnz571TY3pGXC/BStw9zCrBWU0D4RpiXkAt34Bojhz01KkfD9T50min/jQ0Jtl6NUCpEzagjj09NTAMa+FZNok2pT9JyVMqfr+nj5Yd7NZztZTO6ymOvyJ0jQBngKIKkcm9LrImxQ6hEHivRhAQ721ECAReCnT9ASAVE3DyyRrkAglKA3XSKsyjeyTzAjmb66iSxr7DJvoUiaDICazHM1+eT8DladghM+4FsAf0fvRVpD7RiQSFur2C+Br0EjHEw7Y/8xr0fz6jlQLZAgLaRb/Umzh9mzm6HCs76CB8UhJs6Bt2JTNCYOrZw+FjtlDftY+c/tS83vm+g1vvz/2zu357iOIg6PtHdprZsdObIw5B4IRShuCc/wwD/MH8AbVEGlCOQBSEgcx4ksWdbFK2klrbTL9/WckTeyuFRIVWQ4s9aec+bS09PnrKt/p3u6z5jzN4evpF/1P49KAabusbPnpLLAYr2y2AVMjWL/4TzBa1yblrMSJdZB5rc0XcQYi3S4XLIWefd5c03lhYDPoG7Crvvn7Xd4wcD9clX8c/22K52Z6uZ4XooA8wSX5i4u1fE0OaY0XjrSdFGKjJu99Ys6AaolA7/p3tZFS/Do6YsrvTQATG7tHjE3+UCxYK7f6qV7G1p7Bfy8UOF5u795wNrYe1wFQJLKVym+YHhhqZ9+8mYz/Zl9mBuPB0HGSLKfPtwkTckw/fC1NWQ3l04IanM2iwv3qS85eKGDe7K/Ca2cQ3h2LdKzTmPl8UkGqzY0xuQqZTw/o8D7/j/yR3Jejue/LI+vsoZ6zNcrgRpcfr3yrKnVEqglUEuglkAtgf9rCay3DtLP5ray9Qale2nmBmBnF8C1lLbH+wEs7380SI+2yGuIpHr9Rnrh26Q3GLbTGopxyc8XQqTD8QjLJRaPTgf3OK4dky1/nKAtV3p9NPR6PVzysDSeYLkCQGi9E8w8SczbBKSSEw90kIk4gdqsBKNXwKugeQHEKjRg7skOoNAeMaAcmFwwAIYMcNkg112LHJgyJY3Yzwiw0QomSI30DFhAxwDLRgMrDG6cAtA2QDKK9Ph02b/nPE1cc2UxprWD6/VYlWC9Oo/6shyO5+7pNKAODS6ZbAhTRb7LwAm5NdHYaW+ZMgVwJQARDLuXUAiYh/INveDQsQXoR02+FmWG9ZVL06/kKcpEspLl4twGXfrw0bfIVbmb5maxHCpDewAwGwDtd3rvp98fvQ3JLzEeTA+wMv/h8Gb66fxjJwaojgGYx1isdWudTbfZb3iP4DUbRJBdX51HFjPp0DXaG3rdADVYzrCOGmn0DLDV6jJ7Jf+GKUrI49giovD8zHz6Qev79CR/YffZcJ8FDLpKQb2AMvZHUuF6j6HTAeFOsKyW5yqDRLnJpdAo13H0obLA77MSyE1XfUv79nKXvZfDtLVzlF5EFrqvaq00YqzWRoM8XQBM7nUfEE7VVy4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    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Finally subset to the target region\n",
    "\n",
    "![image.png](attachment:image.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
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       "\n",
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       "\n",
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       "\n",
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       "  font-weight: normal;\n",
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       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
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       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 203kB\n",
       "Dimensions:      (time: 1, ny: 66, nx: 96)\n",
       "Coordinates:\n",
       "    Latitude     (ny, nx) float64 51kB dask.array&lt;chunksize=(66, 96), meta=np.ndarray&gt;\n",
       "    Longitude    (ny, nx) float64 51kB dask.array&lt;chunksize=(66, 96), meta=np.ndarray&gt;\n",
       "    Depth        float64 8B 0.0\n",
       "  * time         (time) datetime64[ns] 8B 2024-07-24T12:59:59.999999744\n",
       "Dimensions without coordinates: ny, nx\n",
       "Data variables:\n",
       "    u_eastward   (time, ny, nx) float32 25kB dask.array&lt;chunksize=(1, 65, 96), meta=np.ndarray&gt;\n",
       "    v_northward  (time, ny, nx) float32 25kB dask.array&lt;chunksize=(1, 65, 96), meta=np.ndarray&gt;\n",
       "    subset_mask  (ny, nx) float64 51kB 1.0 1.0 1.0 1.0 1.0 ... 1.0 1.0 1.0 1.0\n",
       "Attributes: (12/14)\n",
       "    title:                       SFBOFS\n",
       "    institution:                 School for Marine Science and Technology\n",
       "    source:                      FVCOM_4.4.7\n",
       "    history:                     model started at: 22/07/2024   21:33\n",
       "    references:                  http://fvcom.smast.umassd.edu, https://githu...\n",
       "    Conventions:                 CF-1.0\n",
       "    ...                          ...\n",
       "    Tidal_Forcing:               Tidal Forcing Time Series Title: sfbofs late...\n",
       "    River_Forcing:               THERE ARE 9 RIVERS IN THIS MODEL.\\nRIVER INF...\n",
       "    GroundWater_Forcing:         GROUND WATER FORCING IS OFF!\n",
       "    Surface_Heat_Forcing:        FVCOM variable surface heat forcing file:\\nF...\n",
       "    Surface_Wind_Forcing:        FVCOM variable surface Wind forcing:\\nFILE N...\n",
       "    Surface_PrecipEvap_Forcing:  SURFACE PRECIPITATION FORCING IS OFF</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-8e9f0c12-876e-422d-aca3-b9e7f7a3fe49' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8e9f0c12-876e-422d-aca3-b9e7f7a3fe49' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 1</li><li><span>ny</span>: 66</li><li><span>nx</span>: 96</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-1eada42e-f259-42c6-8709-144df76a8c86' class='xr-section-summary-in' type='checkbox'  checked><label for='section-1eada42e-f259-42c6-8709-144df76a8c86' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>Latitude</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(66, 96), meta=np.ndarray&gt;</div><input id='attrs-f95b2665-c0cf-43af-97c5-1958bb62407e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f95b2665-c0cf-43af-97c5-1958bb62407e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0c6ca02e-f120-42fd-910f-dc7e53a6d284' class='xr-var-data-in' type='checkbox'><label for='data-0c6ca02e-f120-42fd-910f-dc7e53a6d284' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Latitude in common grid</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 49.50 kiB </td>\n",
       "                        <td> 49.50 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (66, 96) </td>\n",
       "                        <td> (66, 96) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 4 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Longitude</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(66, 96), meta=np.ndarray&gt;</div><input id='attrs-7ae5e390-df1a-4f6c-ab23-70bfe4f07ec6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7ae5e390-df1a-4f6c-ab23-70bfe4f07ec6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-478e2e96-b8ff-4224-9b0c-53b05cbc6c4b' class='xr-var-data-in' type='checkbox'><label for='data-478e2e96-b8ff-4224-9b0c-53b05cbc6c4b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Longitude in common grid</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 49.50 kiB </td>\n",
       "                        <td> 49.50 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (66, 96) </td>\n",
       "                        <td> (66, 96) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 4 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Depth</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0</div><input id='attrs-506d7dc7-bb41-4c9c-a0b3-7bc70f019227' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-506d7dc7-bb41-4c9c-a0b3-7bc70f019227' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a92f48e6-7ea3-4b25-853f-f31ba1d13127' class='xr-var-data-in' type='checkbox'><label for='data-a92f48e6-7ea3-4b25-853f-f31ba1d13127' 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>Depths of Standard Layer</dd><dt><span>standard_name :</span></dt><dd>depth</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>axis :</span></dt><dd>Z</dd></dl></div><div class='xr-var-data'><pre>array(0.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>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'>2024-07-24T12:59:59.999999744</div><input id='attrs-8595d328-5d9a-4901-af81-b85b7f355170' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8595d328-5d9a-4901-af81-b85b7f355170' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8bc6e7ec-1b6a-46f2-ab2c-9a72be3c0f15' class='xr-var-data-in' type='checkbox'><label for='data-8bc6e7ec-1b6a-46f2-ab2c-9a72be3c0f15' 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 since initialization</dd><dt><span>field :</span></dt><dd>time, scalar, series</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2024-07-24T12:59:59.999999744&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-42c9dd9e-1ea6-4331-b383-f49a6d9df88f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-42c9dd9e-1ea6-4331-b383-f49a6d9df88f' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>u_eastward</span></div><div class='xr-var-dims'>(time, ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 65, 96), meta=np.ndarray&gt;</div><input id='attrs-a86e2f2b-e18f-4437-a925-48e0f435237e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a86e2f2b-e18f-4437-a925-48e0f435237e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7de1bc05-fc4e-4071-987a-469a2d5faeaf' class='xr-var-data-in' type='checkbox'><label for='data-7de1bc05-fc4e-4071-987a-469a2d5faeaf' 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>eastward momentum component</dd><dt><span>standard_name :</span></dt><dd>eastward_sea_water_velocity</dd><dt><span>units :</span></dt><dd>meters second-1</dd><dt><span>time :</span></dt><dd>time</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>field :</span></dt><dd>u_eastward, scalar, series</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 24.75 kiB </td>\n",
       "                        <td> 24.38 kiB </td>\n",
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       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
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       "                        <td> (1, 65, 96) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 2 chunks in 8 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><li class='xr-var-item'><div class='xr-var-name'><span>v_northward</span></div><div class='xr-var-dims'>(time, ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 65, 96), meta=np.ndarray&gt;</div><input id='attrs-6119d848-8322-4d0b-a149-39d0c936f89b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6119d848-8322-4d0b-a149-39d0c936f89b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-100b0838-682e-4a41-bbaf-bcc351c5e729' class='xr-var-data-in' type='checkbox'><label for='data-100b0838-682e-4a41-bbaf-bcc351c5e729' 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>northward momentum component</dd><dt><span>standard_name :</span></dt><dd>northward_sea_water_velocity</dd><dt><span>units :</span></dt><dd>meters second-1</dd><dt><span>time :</span></dt><dd>time</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>field :</span></dt><dd>v_northward, scalar, series</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 24.75 kiB </td>\n",
       "                        <td> 24.38 kiB </td>\n",
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       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (1, 66, 96) </td>\n",
       "                        <td> (1, 65, 96) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 2 chunks in 8 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>subset_mask</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.0 1.0 1.0 1.0 ... 1.0 1.0 1.0 1.0</div><input id='attrs-615c9a81-3095-4ce6-972a-1d5979e62829' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-615c9a81-3095-4ce6-972a-1d5979e62829' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7c9104f5-19a2-476c-9b36-9764d94e5de3' class='xr-var-data-in' type='checkbox'><label for='data-7c9104f5-19a2-476c-9b36-9764d94e5de3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[1., 1., 1., ..., 1., 1., 1.],\n",
       "       [1., 1., 1., ..., 1., 1., 1.],\n",
       "       [1., 1., 1., ..., 1., 1., 1.],\n",
       "       ...,\n",
       "       [1., 1., 1., ..., 1., 1., 1.],\n",
       "       [1., 1., 1., ..., 1., 1., 1.],\n",
       "       [1., 1., 1., ..., 1., 1., 1.]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f5ebbe45-4be1-42a1-9894-0db98e5cf321' class='xr-section-summary-in' type='checkbox'  ><label for='section-f5ebbe45-4be1-42a1-9894-0db98e5cf321' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-90ba15cd-784e-41f1-9f22-e8d6a11be522' class='xr-index-data-in' type='checkbox'/><label for='index-90ba15cd-784e-41f1-9f22-e8d6a11be522' 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;2024-07-24 12:59:59.999999744&#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-309c6415-3a1b-41df-99dd-a3ce3919ffb1' class='xr-section-summary-in' type='checkbox'  ><label for='section-309c6415-3a1b-41df-99dd-a3ce3919ffb1' class='xr-section-summary' >Attributes: <span>(14)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>title :</span></dt><dd>SFBOFS</dd><dt><span>institution :</span></dt><dd>School for Marine Science and Technology</dd><dt><span>source :</span></dt><dd>FVCOM_4.4.7</dd><dt><span>history :</span></dt><dd>model started at: 22/07/2024   21:33</dd><dt><span>references :</span></dt><dd>http://fvcom.smast.umassd.edu, https://github.com/FVCOM-GitHub/FVCOM</dd><dt><span>Conventions :</span></dt><dd>CF-1.0</dd><dt><span>CoordinateSystem :</span></dt><dd>GeoReferenced</dd><dt><span>CoordinateProjection :</span></dt><dd>init=nad83:402</dd><dt><span>Tidal_Forcing :</span></dt><dd>Tidal Forcing Time Series Title: sfbofs lateral open boundary netCDF file</dd><dt><span>River_Forcing :</span></dt><dd>THERE ARE 9 RIVERS IN THIS MODEL.\n",
       "RIVER INFLOW IS ON THE nodes WHERE TEMPERATURE AND SALINITY ARE calculated IN THE MODEL.\n",
       "THE FOLLOWING RIVER NAMES ARE USED:\n",
       "11459150\n",
       "11180700\n",
       "11458000\n",
       "11458000\n",
       "11458000\n",
       "11458000\n",
       "11458000\n",
       "11172175\n",
       "11169025</dd><dt><span>GroundWater_Forcing :</span></dt><dd>GROUND WATER FORCING IS OFF!</dd><dt><span>Surface_Heat_Forcing :</span></dt><dd>FVCOM variable surface heat forcing file:\n",
       "FILE NAME:sfbofs.t21z.20240722.hflux.forecast.nc\n",
       "SOURCE:FVCOM grid (unstructured) surface forcing\n",
       "Unknown start date meta data format</dd><dt><span>Surface_Wind_Forcing :</span></dt><dd>FVCOM variable surface Wind forcing:\n",
       "FILE NAME:sfbofs.t21z.20240722.met.forecast.nc\n",
       "SOURCE:FVCOM grid (unstructured) surface forcing\n",
       "Unknown start date meta data format</dd><dt><span>Surface_PrecipEvap_Forcing :</span></dt><dd>SURFACE PRECIPITATION FORCING IS OFF</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset> Size: 203kB\n",
       "Dimensions:      (time: 1, ny: 66, nx: 96)\n",
       "Coordinates:\n",
       "    Latitude     (ny, nx) float64 51kB dask.array<chunksize=(66, 96), meta=np.ndarray>\n",
       "    Longitude    (ny, nx) float64 51kB dask.array<chunksize=(66, 96), meta=np.ndarray>\n",
       "    Depth        float64 8B 0.0\n",
       "  * time         (time) datetime64[ns] 8B 2024-07-24T12:59:59.999999744\n",
       "Dimensions without coordinates: ny, nx\n",
       "Data variables:\n",
       "    u_eastward   (time, ny, nx) float32 25kB dask.array<chunksize=(1, 65, 96), meta=np.ndarray>\n",
       "    v_northward  (time, ny, nx) float32 25kB dask.array<chunksize=(1, 65, 96), meta=np.ndarray>\n",
       "    subset_mask  (ny, nx) float64 51kB 1.0 1.0 1.0 1.0 1.0 ... 1.0 1.0 1.0 1.0\n",
       "Attributes: (12/14)\n",
       "    title:                       SFBOFS\n",
       "    institution:                 School for Marine Science and Technology\n",
       "    source:                      FVCOM_4.4.7\n",
       "    history:                     model started at: 22/07/2024   21:33\n",
       "    references:                  http://fvcom.smast.umassd.edu, https://githu...\n",
       "    Conventions:                 CF-1.0\n",
       "    ...                          ...\n",
       "    Tidal_Forcing:               Tidal Forcing Time Series Title: sfbofs late...\n",
       "    River_Forcing:               THERE ARE 9 RIVERS IN THIS MODEL.\\nRIVER INF...\n",
       "    GroundWater_Forcing:         GROUND WATER FORCING IS OFF!\n",
       "    Surface_Heat_Forcing:        FVCOM variable surface heat forcing file:\\nF...\n",
       "    Surface_Wind_Forcing:        FVCOM variable surface Wind forcing:\\nFILE N...\n",
       "    Surface_PrecipEvap_Forcing:  SURFACE PRECIPITATION FORCING IS OFF"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "polygon = np.array(\n",
    "    [\n",
    "        [-122.68750983577246, 37.8236386694975],\n",
    "        [-122.68750983577246, 37.65884889475059],\n",
    "        [-122.44817616264763, 37.65884889475059],\n",
    "        [-122.44817616264763, 37.8236386694975],\n",
    "        [-122.68750983577246, 37.8236386694975],\n",
    "    ]\n",
    ")\n",
    "\n",
    "ds_currents_surface_subset = ds_surface_currents.xsg.subset_polygon(polygon)\n",
    "ds_currents_surface_subset"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Plot and see the result!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x33ec40520>"
      ]
     },
     "execution_count": 13,
     "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_currents_surface_subset.u_eastward.cf.isel(time=0).cf.plot(\n",
    "    x=\"longitude\", y=\"latitude\", cmap=\"viridis\"\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Subset dataset size: 0.202768 Mb'"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "f\"Subset dataset size: {ds_currents_surface_subset.nbytes * 1.0e-6} Mb\""
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "venv",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
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