datasets/gpm-imerg-hhr/gpm-imerg-hhr-example.ipynb

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    "## Accessing GPM-IMERG data with the Planetary Computer STAC API\n",
    "\n",
    "The [Integrated Multi-satellitE Retrievals for GPM (IMERG) dataset](http://planetarycomputer.microsoft.com/dataset/gpm-imerg) combines information from the [GPM satellite constellation](https://gpm.nasa.gov/missions/gpm/constellation) to estimate precipitation over the majority of the Earth's surface. This algorithm is particularly valuable over the majority of the Earth's surface that lacks precipitation-measuring instruments on the ground. Now in the latest Version 06 release of IMERG the algorithm fuses the early precipitation estimates collected during the operation of the TRMM satellite (2000 - 2015) with more recent precipitation estimates collected during operation of the GPM satellite (2014 - present). The longer the record, the more valuable it is, as researchers and application developers will attest. By being able to compare and contrast past and present data, researchers are better informed to make climate and weather models more accurate, better understand normal and extreme rain and snowfall around the world, and strengthen applications for current and future disasters, disease, resource management, energy production and food security.\n",
    "\n",
    "For more, see the [IMERG homepage](https://gpm.nasa.gov/data/imerg).\n",
    "\n",
    "The data are provided in [Zarr](https://zarr.readthedocs.io/) format, and cover June 2000 – May 2021."
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       "<CollectionClient id=gpm-imerg-hhr>"
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   "source": [
    "import xarray as xr\n",
    "import pystac_client\n",
    "import fsspec\n",
    "import planetary_computer\n",
    "\n",
    "catalog = pystac_client.Client.open(\n",
    "    \"https://planetarycomputer.microsoft.com/api/stac/v1\"\n",
    ")\n",
    "imerg = catalog.get_collection(\"gpm-imerg-hhr\")\n",
    "imerg"
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    "This collection has a single asset, which links to the Zarr store in Azure Blob Storage."
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:                         (time: 368160, lon: 3600, lat: 1800, latv: 2, lonv: 2, nv: 2)\n",
       "Coordinates:\n",
       "  * lat                             (lat) float32 -89.95 -89.85 ... 89.85 89.95\n",
       "    lat_bnds                        (lat, latv) float32 dask.array&lt;chunksize=(1800, 2), meta=np.ndarray&gt;\n",
       "  * lon                             (lon) float32 -179.9 -179.9 ... 179.9 179.9\n",
       "    lon_bnds                        (lon, lonv) float32 dask.array&lt;chunksize=(3600, 2), meta=np.ndarray&gt;\n",
       "  * time                            (time) object 2000-06-01 00:00:00 ... 202...\n",
       "    time_bnds                       (time, nv) object dask.array&lt;chunksize=(12, 2), meta=np.ndarray&gt;\n",
       "Dimensions without coordinates: latv, lonv, nv\n",
       "Data variables:\n",
       "    HQobservationTime               (time, lon, lat) timedelta64[ns] dask.array&lt;chunksize=(12, 3600, 1800), meta=np.ndarray&gt;\n",
       "    HQprecipSource                  (time, lon, lat) float32 dask.array&lt;chunksize=(12, 3600, 1800), meta=np.ndarray&gt;\n",
       "    HQprecipitation                 (time, lon, lat) float32 dask.array&lt;chunksize=(12, 3600, 1800), meta=np.ndarray&gt;\n",
       "    IRkalmanFilterWeight            (time, lon, lat) float32 dask.array&lt;chunksize=(12, 3600, 1800), meta=np.ndarray&gt;\n",
       "    IRprecipitation                 (time, lon, lat) float32 dask.array&lt;chunksize=(12, 3600, 1800), meta=np.ndarray&gt;\n",
       "    precipitationCal                (time, lon, lat) float32 dask.array&lt;chunksize=(12, 3600, 1800), meta=np.ndarray&gt;\n",
       "    precipitationQualityIndex       (time, lon, lat) float32 dask.array&lt;chunksize=(12, 3600, 1800), meta=np.ndarray&gt;\n",
       "    precipitationUncal              (time, lon, lat) float32 dask.array&lt;chunksize=(12, 3600, 1800), meta=np.ndarray&gt;\n",
       "    probabilityLiquidPrecipitation  (time, lon, lat) float32 dask.array&lt;chunksize=(12, 3600, 1800), meta=np.ndarray&gt;\n",
       "    randomError                     (time, lon, lat) float32 dask.array&lt;chunksize=(12, 3600, 1800), meta=np.ndarray&gt;\n",
       "Attributes:\n",
       "    GridHeader:  BinMethod=ARITHMETIC_MEAN;\\nRegistration=CENTER;\\nLatitudeRe...</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-cfa946b1-a2c0-41f5-8589-31083c134a3b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-cfa946b1-a2c0-41f5-8589-31083c134a3b' 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>: 368160</li><li><span class='xr-has-index'>lon</span>: 3600</li><li><span class='xr-has-index'>lat</span>: 1800</li><li><span>latv</span>: 2</li><li><span>lonv</span>: 2</li><li><span>nv</span>: 2</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-8818aee5-aeec-4afd-9f5e-7cafa3f3e64a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8818aee5-aeec-4afd-9f5e-7cafa3f3e64a' class='xr-section-summary' >Coordinates: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-89.95 -89.85 ... 89.85 89.95</div><input id='attrs-87eb7b46-9643-4de9-b124-d6f17a200deb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-87eb7b46-9643-4de9-b124-d6f17a200deb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-af949653-6139-474f-bb33-e1dce604cf38' class='xr-var-data-in' type='checkbox'><label for='data-af949653-6139-474f-bb33-e1dce604cf38' 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>DimensionNames :</span></dt><dd>lat</dd><dt><span>LongName :</span></dt><dd>Latitude at the center of\n",
       "\t\t\t0.10 degree grid intervals of latitude\n",
       "\t\t\tfrom -90 to 90.</dd><dt><span>Units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</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'><pre>array([-89.95, -89.85, -89.75, ...,  89.75,  89.85,  89.95], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, latv)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1800, 2), meta=np.ndarray&gt;</div><input id='attrs-bd6f86ea-a6cf-4c40-b213-84b509cb92a1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bd6f86ea-a6cf-4c40-b213-84b509cb92a1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4e74a8fd-de3e-4b5b-aacf-6ab7fa376bc9' class='xr-var-data-in' type='checkbox'><label for='data-4e74a8fd-de3e-4b5b-aacf-6ab7fa376bc9' 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>DimensionNames :</span></dt><dd>lat,latv</dd><dt><span>Units :</span></dt><dd>degrees_north</dd><dt><span>coordinates :</span></dt><dd>lat latv</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\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> 14.06 kiB </td>\n",
       "                        <td> 14.06 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (1800, 2) </td>\n",
       "                        <td> (1800, 2) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float32 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"75\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"25\" y2=\"0\" style=\"stroke-width:2\" />\n",
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       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"25\" y1=\"0\" x2=\"25\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "\n",
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       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"12.706308\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >2</text>\n",
       "  <text x=\"45.412617\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,45.412617,60.000000)\">1800</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-179.9 -179.9 ... 179.9 179.9</div><input id='attrs-c4701762-8048-4d5f-adb8-ccd856dbb13e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c4701762-8048-4d5f-adb8-ccd856dbb13e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b0ddbb85-560a-43bd-a566-9ede9862c80f' class='xr-var-data-in' type='checkbox'><label for='data-b0ddbb85-560a-43bd-a566-9ede9862c80f' 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>DimensionNames :</span></dt><dd>lon</dd><dt><span>LongName :</span></dt><dd>Longitude at the center of\n",
       "\t\t\t0.10 degree grid intervals of longitude \n",
       "\t\t\tfrom -180 to 180.</dd><dt><span>Units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</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'><pre>array([-179.95, -179.85, -179.75, ...,  179.75,  179.85,  179.95],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, lonv)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(3600, 2), meta=np.ndarray&gt;</div><input id='attrs-2f11e615-8e08-4669-9921-00b39be602bc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2f11e615-8e08-4669-9921-00b39be602bc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2ccaf08a-3213-4228-bc4c-9b70e7253b4d' class='xr-var-data-in' type='checkbox'><label for='data-2ccaf08a-3213-4228-bc4c-9b70e7253b4d' 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>DimensionNames :</span></dt><dd>lon,lonv</dd><dt><span>Units :</span></dt><dd>degrees_east</dd><dt><span>coordinates :</span></dt><dd>lon lonv</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\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> 28.12 kiB </td>\n",
       "                        <td> 28.12 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (3600, 2) </td>\n",
       "                        <td> (3600, 2) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float32 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"75\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"25\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"0\" y1=\"120\" x2=\"25\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"25\" y1=\"0\" x2=\"25\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "\n",
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       "  <polygon points=\"0.0,0.0 25.412616514582485,0.0 25.412616514582485,120.0 0.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"12.706308\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >2</text>\n",
       "  <text x=\"45.412617\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,45.412617,60.000000)\">3600</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>2000-06-01 00:00:00 ... 2021-05-...</div><input id='attrs-5d046bb4-b9aa-4d45-9437-39dbf56862c8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5d046bb4-b9aa-4d45-9437-39dbf56862c8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6b46382f-d95c-4d62-84ac-42b1fc2e15a0' class='xr-var-data-in' type='checkbox'><label for='data-6b46382f-d95c-4d62-84ac-42b1fc2e15a0' 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>DimensionNames :</span></dt><dd>time</dd><dt><span>LongName :</span></dt><dd>Representative time of data in \n",
       "\t\t\tseconds since 1970-01-01 00:00:00 UTC.</dd><dt><span>Units :</span></dt><dd>seconds since 1970-01-01 00:00:00 UTC</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([cftime.DatetimeJulian(2000, 6, 1, 0, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeJulian(2000, 6, 1, 0, 30, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeJulian(2000, 6, 1, 1, 0, 0, 0, has_year_zero=False), ...,\n",
       "       cftime.DatetimeJulian(2021, 5, 31, 22, 30, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeJulian(2021, 5, 31, 23, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeJulian(2021, 5, 31, 23, 30, 0, 0, has_year_zero=False)],\n",
       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, nv)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(12, 2), meta=np.ndarray&gt;</div><input id='attrs-ab5e44a9-51e4-4a19-9304-7615e00cc06d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ab5e44a9-51e4-4a19-9304-7615e00cc06d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ca4babd0-4949-45bd-82d3-b2c86a601655' class='xr-var-data-in' type='checkbox'><label for='data-ca4babd0-4949-45bd-82d3-b2c86a601655' 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>DimensionNames :</span></dt><dd>time,nv</dd><dt><span>Units :</span></dt><dd>seconds since 1970-01-01 00:00:00 UTC</dd><dt><span>coordinates :</span></dt><dd>time nv</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\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> 5.62 MiB </td>\n",
       "                        <td> 192 B </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (368160, 2) </td>\n",
       "                        <td> (12, 2) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 30681 Tasks </td>\n",
       "                        <td> 30680 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> object </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"75\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"25\" y2=\"0\" style=\"stroke-width:2\" />\n",
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       "\n",
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       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"25\" y1=\"0\" x2=\"25\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "\n",
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       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"12.706308\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >2</text>\n",
       "  <text x=\"45.412617\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,45.412617,60.000000)\">368160</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-b61bd43e-5194-4f34-bc9a-c5fb276acae6' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b61bd43e-5194-4f34-bc9a-c5fb276acae6' class='xr-section-summary' >Data variables: <span>(10)</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>HQobservationTime</span></div><div class='xr-var-dims'>(time, lon, lat)</div><div class='xr-var-dtype'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(12, 3600, 1800), meta=np.ndarray&gt;</div><input id='attrs-a14fd481-a2e9-4e69-9702-ee448aea4eed' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a14fd481-a2e9-4e69-9702-ee448aea4eed' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f1ed9b1e-2eaf-4100-9904-6d91ce551270' class='xr-var-data-in' type='checkbox'><label for='data-f1ed9b1e-2eaf-4100-9904-6d91ce551270' 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>CodeMissingValue :</span></dt><dd>-9999</dd><dt><span>DimensionNames :</span></dt><dd>time,lon,lat</dd><dt><span>Units :</span></dt><dd>minutes</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\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> 17.36 TiB </td>\n",
       "                        <td> 593.26 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (368160, 3600, 1800) </td>\n",
       "                        <td> (12, 3600, 1800) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 30681 Tasks </td>\n",
       "                        <td> 30680 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> timedelta64[ns] </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "                        <th> Bytes </th>\n",
       "                        <td> 8.68 TiB </td>\n",
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       "                        <th> Shape </th>\n",
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       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
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       "                        <th> Bytes </th>\n",
       "                        <td> 8.68 TiB </td>\n",
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       "                        <th> Shape </th>\n",
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       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 8.68 TiB </td>\n",
       "                        <td> 296.63 MiB </td>\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 8.68 TiB </td>\n",
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       "                    <tr>\n",
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       "                    <tr>\n",
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       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 8.68 TiB </td>\n",
       "                        <td> 296.63 MiB </td>\n",
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       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
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       "                    <td> float32 </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>precipitationUncal</span></div><div class='xr-var-dims'>(time, lon, lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(12, 3600, 1800), meta=np.ndarray&gt;</div><input id='attrs-4a43cf9b-88e6-41f4-a858-58945ea6c042' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4a43cf9b-88e6-41f4-a858-58945ea6c042' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-31d9c6d5-b173-4598-a67f-e8ca8d209d8e' class='xr-var-data-in' type='checkbox'><label for='data-31d9c6d5-b173-4598-a67f-e8ca8d209d8e' 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>CodeMissingValue :</span></dt><dd>-9999.9</dd><dt><span>DimensionNames :</span></dt><dd>time,lon,lat</dd><dt><span>Units :</span></dt><dd>mm/hr</dd><dt><span>units :</span></dt><dd>mm/hr</dd></dl></div><div class='xr-var-data'><table>\n",
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       "        <td>\n",
       "            <table>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 8.68 TiB </td>\n",
       "                        <td> 296.63 MiB </td>\n",
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       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (368160, 3600, 1800) </td>\n",
       "                        <td> (12, 3600, 1800) </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>probabilityLiquidPrecipitation</span></div><div class='xr-var-dims'>(time, lon, lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(12, 3600, 1800), meta=np.ndarray&gt;</div><input id='attrs-c0891ab5-6a27-44f2-aace-4bf35bd41ac7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c0891ab5-6a27-44f2-aace-4bf35bd41ac7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2ecc5818-5472-48e2-92bd-50d4a15e148c' class='xr-var-data-in' type='checkbox'><label for='data-2ecc5818-5472-48e2-92bd-50d4a15e148c' 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>CodeMissingValue :</span></dt><dd>-9999</dd><dt><span>DimensionNames :</span></dt><dd>time,lon,lat</dd><dt><span>Units :</span></dt><dd>percent</dd><dt><span>units :</span></dt><dd>percent</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\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> 8.68 TiB </td>\n",
       "                        <td> 296.63 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (368160, 3600, 1800) </td>\n",
       "                        <td> (12, 3600, 1800) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 30681 Tasks </td>\n",
       "                        <td> 30680 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float32 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>randomError</span></div><div class='xr-var-dims'>(time, lon, lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(12, 3600, 1800), meta=np.ndarray&gt;</div><input id='attrs-5d14e2bf-bd91-4faa-9e63-413ca6c6356a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5d14e2bf-bd91-4faa-9e63-413ca6c6356a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9c3b881f-f81b-4213-bd5f-af756ad92f56' class='xr-var-data-in' type='checkbox'><label for='data-9c3b881f-f81b-4213-bd5f-af756ad92f56' 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>CodeMissingValue :</span></dt><dd>-9999.9</dd><dt><span>DimensionNames :</span></dt><dd>time,lon,lat</dd><dt><span>Units :</span></dt><dd>mm/hr</dd><dt><span>units :</span></dt><dd>mm/hr</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 8.68 TiB </td>\n",
       "                        <td> 296.63 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
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       "                        <td> (12, 3600, 1800) </td>\n",
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       "                        <td> 30681 Tasks </td>\n",
       "                        <td> 30680 Chunks </td>\n",
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       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float32 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-70b9bbe6-c751-46b5-a986-d31437ec7ccd' class='xr-section-summary-in' type='checkbox'  checked><label for='section-70b9bbe6-c751-46b5-a986-d31437ec7ccd' class='xr-section-summary' >Attributes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>GridHeader :</span></dt><dd>BinMethod=ARITHMETIC_MEAN;\n",
       "Registration=CENTER;\n",
       "LatitudeResolution=0.1;\n",
       "LongitudeResolution=0.1;\n",
       "NorthBoundingCoordinate=90;\n",
       "SouthBoundingCoordinate=-90;\n",
       "EastBoundingCoordinate=180;\n",
       "WestBoundingCoordinate=-180;\n",
       "Origin=SOUTHWEST;\n",
       "</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:                         (time: 368160, lon: 3600, lat: 1800, latv: 2, lonv: 2, nv: 2)\n",
       "Coordinates:\n",
       "  * lat                             (lat) float32 -89.95 -89.85 ... 89.85 89.95\n",
       "    lat_bnds                        (lat, latv) float32 dask.array<chunksize=(1800, 2), meta=np.ndarray>\n",
       "  * lon                             (lon) float32 -179.9 -179.9 ... 179.9 179.9\n",
       "    lon_bnds                        (lon, lonv) float32 dask.array<chunksize=(3600, 2), meta=np.ndarray>\n",
       "  * time                            (time) object 2000-06-01 00:00:00 ... 202...\n",
       "    time_bnds                       (time, nv) object dask.array<chunksize=(12, 2), meta=np.ndarray>\n",
       "Dimensions without coordinates: latv, lonv, nv\n",
       "Data variables:\n",
       "    HQobservationTime               (time, lon, lat) timedelta64[ns] dask.array<chunksize=(12, 3600, 1800), meta=np.ndarray>\n",
       "    HQprecipSource                  (time, lon, lat) float32 dask.array<chunksize=(12, 3600, 1800), meta=np.ndarray>\n",
       "    HQprecipitation                 (time, lon, lat) float32 dask.array<chunksize=(12, 3600, 1800), meta=np.ndarray>\n",
       "    IRkalmanFilterWeight            (time, lon, lat) float32 dask.array<chunksize=(12, 3600, 1800), meta=np.ndarray>\n",
       "    IRprecipitation                 (time, lon, lat) float32 dask.array<chunksize=(12, 3600, 1800), meta=np.ndarray>\n",
       "    precipitationCal                (time, lon, lat) float32 dask.array<chunksize=(12, 3600, 1800), meta=np.ndarray>\n",
       "    precipitationQualityIndex       (time, lon, lat) float32 dask.array<chunksize=(12, 3600, 1800), meta=np.ndarray>\n",
       "    precipitationUncal              (time, lon, lat) float32 dask.array<chunksize=(12, 3600, 1800), meta=np.ndarray>\n",
       "    probabilityLiquidPrecipitation  (time, lon, lat) float32 dask.array<chunksize=(12, 3600, 1800), meta=np.ndarray>\n",
       "    randomError                     (time, lon, lat) float32 dask.array<chunksize=(12, 3600, 1800), meta=np.ndarray>\n",
       "Attributes:\n",
       "    GridHeader:  BinMethod=ARITHMETIC_MEAN;\\nRegistration=CENTER;\\nLatitudeRe..."
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "asset = planetary_computer.sign(imerg.assets[\"zarr-abfs\"])\n",
    "fs = fsspec.get_mapper(asset.href, **asset.extra_fields[\"xarray:storage_options\"])\n",
    "ds = xr.open_zarr(fs, **asset.extra_fields[\"xarray:open_kwargs\"])\n",
    "ds"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "630f2188-52da-42ba-ab61-b8228fb68480",
   "metadata": {},
   "source": [
    "This dataset includes timeseries for a handful of variables. We'll select one day's worth of data for `precipitationCal`, which contains the Multi-satellite precipitation estimate with gauge calibration."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "e298249e-87c1-4ead-aefc-66e3a4b79a78",
   "metadata": {},
   "outputs": [],
   "source": [
    "day = ds.precipitationCal.sel(time=\"2015-01-01\").compute()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "538a1d82-c240-4da5-9f28-51ed79e6fff0",
   "metadata": {},
   "source": [
    "We can plot the precipitation at a single timestamp using matplotlib."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "bda34b0c-c2b7-46d6-848b-fa206c1d4bee",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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XceSSywY2cGSojXcuAwSwYp1QAWXGTBZZePDgwmUomgTCUAq1035FeAVYLMmEwxenMJO89tA9fVJIMfIVhAjRTjv99JNMMgUUoKJSS+2YcAyJ5LWAFBYlc4oDB8UUGzW+aqihmeYJJ5EppJBJJgc5OON96m4kegbSS4kTJxvZSA89RlIbwKj71Uor5zk/xtqmazuHs4pVOHAYryNEOMCBWTuuHHLYxCaaaTb23UnnjLO0AixlKYUU0kUXAwzQO6wFCRqJgOLEjb+Syxu9dl0yydixY8JELrkMMMDv+N1lJzDWf9tOxvvmX3jSlWPZZOPCxQAD1FFHJ52YMGHGzDKW8Vf+Ot9DXfBYLMkAl6Uw6caNE6fh2WLFioZGFVXSgn8RmDAZGYn1Go7juc9vZCNu3FiwjEhed5CD866YlkguFVJYlMwJySRTRhlRopzgBO20j1lGz9jnxIkZM168DDDAy7yMhoYfPwMM0EPPlDKdppBCKaXEiRMhgg0bJkw8y7MzEkqGWy7t2PHjJ400bNiM7emFsQ9ykLOcJZtsiikmSJBGGo2Hi+6OmUCC4a46HH0ScIYzRk26q7iKGmoMAStGjChRo1SFLnDq2VYtWDAPNV1g1jPDjSdgmjCRQophqQWoo45TnJr2udJRUY1YTYHgDGeop/6yExgkF8aPn6u4iggRjnCEZprpo89QAlzO3/mRDTdRvuux+R7GCPQ4aA8eokSJETMyOb4WGU8AtNmyAAgG6+ZlTDNBv3fr928bthEZOXuGmu4iGSaMQLCe9VRTfcEkLa91FBSSSBpRhgYGLfdnOEMD0/cgsGFjC1vopx8VddL5hf55O+0000wbbVJJKrnskMKiZFaxY+cf+UfOcIYXeIEeejBjxjHUPHhIIQUTJoIEDbfRMGH66SeXXHLIoYcemmjChs3QrA6vD9ZHHzXUjBBC88mngAJ2sctwq0ojjXzyeYEX0NBIIMEQuvQC1uNhwsQbeSNNNKGgECJEI4000zzGZUtBYRGLUFCMovIWLKSSigPHiLTdFiwIBFVU0UjjiO24cVNJJU/xFCFCuHGTQAImTKiomDChoWEbambMhkAbGWq6UKpPKPTzbsM2YrwKCjFitNBCE0100TXrk3szZiMpj4JCCy2ECRvHYRrW9KRCwxMM6d93nLgxOY4RI0KEdtppoUXGQ84zNmxkkUU66aio1FBjKDsuFxo2b+RgeBFX254nltzFrvPX0BD184mWbtzWAu7xtFJoPotFiaAR45ngOvb0L8Vn6ubXLQ8TDA7+jlVVQ9O8aJqLeDxINNpLe/vOeT66QcxmLwCRSOe8jmM4GwM/5vmqd4x532bLGiPsjScEDrxlMEFY1BZh78nXAbDomh8DkP65iSfjo4XMmbqv1n9Gwf7B3+L13gKAoijjLmfFSvJQSyABGJnELEp0hEIxRGhErT8NDQ8eEkgwMnNraHTTzSu88ppKJuXBQxJJxvNj+N8YMeqpp4MOUkghjTTcuBEI2mijjz7juaKgMMAA9dTPeCxOnIa3zIVQUfHhw4/fqIVaTz3VVL8mBEd97uUZambMRskTvQkEUaL00EMnnfTTf1krHK80pLAomVVUVFJJxYMHHz4sWIx01f3000PPuDWLzJhZy1paaeU4xy+4Hw8e8snHh48eejjDGbrowoaNNazhHOcMC5lu7RtggC66jHpKAwxM6nJ5FVexj32GtS5MmDbaxl3WgoVVrGIXu0a8r6AYZSV091szZgIEsGPnJV4acQ5yyCGZZGzYCBOmhhpChEYISrogqK+j34BduDBjNjLEDrdeRokSIWK4Al9q9yUFhWSS0dCIEh0jAOoPi9F/gRGCsoZmJB/w48eMmShRWmmlmWY66ZQPmHlCQWErW8eNN55PFEUb8Tcef9XKvnPd21md+jf+ueo7JJk6ORvJ4HD0z9zhzuTH/X28XPwDWq4dsjw4NLCo2F9QiFmiOA8WEs1rIGaJ0n+tApbB31vdF7ca2/9g22AmUhWV86EXAKit/dGIMcwlqmpje9GvefLkLXR0PILXe/Ml2e902Bj4MR7SAEjV+jATpcDyqlD4sdT/QWivTqjjWgxzr5W4FmfA34PQYpw5sZnngmtQifP2tV9BqHESv33pY6Ft2AyBQE/8FSRI61CbKGGYiooHjxF/7sZtKMuiROmia0SppCtVwLBiNWLoh3vJ6P8D1FBDdFjTlb9mzGSQgQ8fLbTQSOOCtrpnk0055fyZP8/3UOYUGzYqqeQ8541rOEx4XAXxcMXIcANBkCBdQ62DjteUgmShIIVFybyTTDLrWMdudk8ojOkMv7mYMBElih07+eSPSODgwME+9k2YSCaddPLJHyPcDaeMMkO4iRAhl1ye5ulxl13FKs5y1igvUU45SSQZiSTChEkjjTbaOMxhBIJtbGMHOyYUbnS3MwsWQ1jSH576TXR4cfteeg0Lo/4Q1c+ZLmi5cJFPPk6cHObwRWdQXQiYMJFMsuHSvJvd8z2k1xx27DhwUE45L/MyHXTM63h0wVDH77+ehIRVvNWWyh2eX9IvbBR5j1HflU91NJf/aN9EiSmFHx97AwC9lRXY1SCqEkeocRo/2g02E6gWKLodTj4EigkcGdBYDdE4qAqmXV3EEgX2GgeO+gTinV7qY6l8pu0DqEqcqND47dkPABCNvirMzGUsXXHxvZw8eZ/x2mz2LhgL47LA143/t1t9ALzV9UfuaXs7ANc4zqISZ53tIH7T4DkqsQ26Xca1OBFPkLg2eJ8Lnh+sLxne8hJCG7qnqpDxyalNcT659AEAPvfyv055/G7cpJGGHz8amuEtM9wyOBonTjLJxIcPK9bBYxnKAN5JJ1100UPPFa300p/jGhqppJJOuqEgbaLJcLeNjGpXyjlx4SKHHOzY2ce++R7OnHIt1/ICL9BN94y3YcNGAglUUEEjjRzikJH0b3SITYgQffQZITh99DHAwBWrYLlUSGFRMu8kkUQWWWOy9Y3Gjp0UUnDipJ9+mmnmGMeopRYYfAAlkIAXr6GN1AUs/X/AiOV7iZem9fDZzGbDJTVM2HArBRhgwLASrmMdVqy8yIv00z9iGyWUkEIKO9lJNtmkkUY11Yagd6lw4qSSyitKq6lbtkKEqKWWeuqnlR1WMnO2sQ0PHl7mZc5z3kgCcSnRhaDhgqIQUTYGfkyqko6qxPlJ6kfRHL30FLTwixc+xpO9G/CZugkJCw+seheuOh+faf83+uODbttHQrmDjtJKHE2Jcip+AgATGoVqPmYlikocl9rP/6R8ZmggET7c8GkAvpb5n0RcIYQWI+wJUvCbcmCkdVMX3ISIGu/pwuNwgVJHUTSEiKKqtktmobxUbAwMupEu0uwAFFnOkW+uxaTE8ardaMTI0gYtvdaha8yXfQJzfRIAtbEM7Df8FVxm6B66BosSoL6PjI8M3l87/tWD74GZT1yNsbLRiBttocUokTQeSSSRRx5u3PTRRx11tNP+mrOQ5JFHEUUjvGWaaaaBhnlJSHcp0LOjp5BCEkmYMNFHH+c5TyONV4wAPBF55JFNNgC1Q01/Llux4sGDEyfw6rxPjGowaFRQUIzkhy5cLGOZodBvo40WWgzvLQsWXLgopphkktnNblkr8yKQwqLkohlu9RotoMWJz4rrjAkTt3IrNdTQSiv99GPBgg+f4bKjW/E66TTqL+pWtggRYsRm5cas11rU9zF6m3riHj9+I6heR0FhL3uNB2M22XjxGi6kOhEi9NNvJLPRH676NvSmZ0XUhePhLjt6XEY//USJjoj9jBDhOMfn3QI0F1iwkE02BRTMSv1JydQopJAcctjL3nnL0jhaUATIzb2Tk0v/RGdnBocjpWjE+GbHO/jtiWumvf309FsxmWxG3Ju+v1OnvgpAXt77AUi1VJBAGh/0PoZJibHV9gIp+yL0rI7T8I6GQStlXFD6r/kAxGKvCoX6NnWBUX+tC5VXmoA4HlcHHgVgna0JgJucfyXb1IBJiWEaug82xFLxm1oxEcOrdmNWozTcOqg4tB0dVDp6qv0ANP97GBQTGVsG42lbPjQojKb89wD/s+LzAHxg/yemPD4fPpaxjHrqqaJqzOcqKhlkkE02Vqy00UYNNQvaLXIuceNmNas5z3mqqLqiBSQVlWyyySADCxaZ3GYIDY0sssgm2/CMChGiiy7jeTE8V4EyqgUJcp7z425b9y7SQ3gsWAzjQCON1FAj8xtcJFJYlMyYDDK4lmupoYZ++scIZxEimDAZQfkq6oQPiQgRaqmlgYYJb6bZZOPAYWibwoTpoGPBu+w4cJBJJokkAowI6o4Ro5deI+OdLkSaMWPHbiSz0TO7jta4xYmPSI4wPMkNDFpj7dgxYzZKWCzkczWbmDCxgQ3UUGNYnyWzhw0b13ANZszGJEhDo5NODnDgko1DF6aGW+YWApsDP8MyVPrm6apbjPet1sH4PLt9MGnLBv8XeaH101zn/3f+3PifwKBFcfhx6Qlz4vEgsVhwwR3rXPKJpd9DJc52x2DIQJl50A3VoQzeK/uFjba4j4R37xwUwqu7IT54j3PWeAdjG//ePeg2HAxC4Rvgjw/D9W8D4Oztg9tZv/sXk47Dho1CCvHjp5NOTnJy3BqxeeRRSCFnOUstta856+F42LCxlrU00TSlnASXKz583MiNBAlSRRUttIyJsbNhI0ToNfMcllwZSGFRclH48LGSlRzmME00zXg7NmyGNi5MmCqqLhi/OBNMmEgiCTNmTJhQUGii6YIuMCZMFFBAJpnEiRMkSAcdKChYsWLDhhUrddRRQw0waIFcz3r66aeOOuN4hsdd6nGEbtwkkkgBBTzBEzTTPGL/duw4h5pjWDNjHlNnTUHBhQsvXiMu5ghHGGDAqM1mx24kzBku3HfQYbhyXAkoKKxiFd10c4IT8z2cKw4zZnLJZRnL+BN/uiKKu19qdOFRFw5VVSMeHxQGdQumqurJeaL09Bx5TQmLw/nK8q9gVqJstr2IRoyUN/8JkocyPbcGwaahNIYQFgG2IStzNI79nJOBW+zQOTRpD8aw3vQdAEKn/ofeD3kJPP+XCff7Ft6CDx972MMhDo27jB07q1lNCy0c5/gVcw8dTSGFYxKQjHesw0tP6USJsp/9V7QAraDgwIELFwkkjIhN1b16YsTYy14jzn7483x4jObouM2pJnfRn3t6UrsgQQYYGCOkxojNe61ON25KKTUytuuWxA46OM952mm/Yn9LlxNSWJRcFH78LGEJL/DCRd90vHhJJ51MMvHj5wxn6KabVlppp33GbgR27PjwIRAsZSlOnBzhCCFCKCiUUUYzzRMGmmeTzQpWsJ/91FGHQGDHjhcvceJG/as00iinnD/wB2Awm+pe9o6rfR5NIYXkkstBDhrlQHQBNYss+umnm24jaDtChJWs5BVeoYkmfPgop9x4QPfSSyeddNBBjBgrWGFk5AsQ4HmeR0EZ4TpswUIyyaSQQogQZzlLAw1XxI16EYteE8kE5gq9gLWKCgw+0G3YjMliCy1zEg+yLPB1DlV9eNa3uxAZXtLB4cgjGu013oOR7qnxeHDI4hidV7dUl6sUgN7e+bEW1X/PMSgkAqgKJFpR6oKDCW4cI4XF4RlS6/dtwfyzPURuvw52/oWMf51YyWHGzGIWk0kmRznKGc6MWaaYYrLI4kVenNL9/nJFQWE729nFLlna4CJYxCKyyeYsZ43nuu6dZR7WRtdOziCDZ3n2gufdho3lLOcVXhnjoTRciDdjxo2bHno4zelx62HPJdvZTgEFHOEIbbSNyPbuxWsk+NPnVJL5QwqLkhlTSCEppLCXvTPyw9fQyCSTXHLx4UNFJUSIXnpppdWwVC5lKVGiHOMYbtyGW2sLLZzmtCFEWrBQSikmTFRTTQ89FFNMEUWc5CQKilHrKIEEznOeVlpx42Yve8ckQ0kjDRWVKFGKKTYybY4Xd7KFLXjxsoMddNEFDCb9mKiMgBcvSSThw0cCCZzlLNVUjzg3W9nKCU4YAuro9dewhr/xN3z4CBBgJzsnTbKQTTYBArTSSjLJNNJIHXXYsePCZTxI9AdWJpkECbKDHRf+Mi8Dcskljzz2sOeKTaYwl+STzyIWcZKT1FJLkOCcTRZzcu7g3LkfzMm2ryRU1YamueY0m+pCp/7zKhR4oD8KFSsH3wy1QfZgmRBF8yC6XgHNAa/8Fqq6yPhYhPqvmPE/lY32xOlxt+vGzWIWY8ZMFVXjes548bKCFZzlrFGq6VJiwsQiFpFIovFbjBM3YtV1JePo2PQEEvDjp576aSt5N7OZv/G3WTsGydTJJXdEzN9EaGjUUz9lbxo3bvLJx4+fZ3n2ksX3mTCRTTYePEZoDmBkc9dDbXRvLcn8IYVFyYzIJRc/fl7kxWmtp6BQQIGRHcuFiy66qKOORhrHLXi/la0MMGDU6Ommmz76SCONfPINAceChWMcI0KEIoqwYmU3u9nGNv7G30ZkaLRjZylLSSKJP/Gnccd6MzdTTz0DDGDBQgIJBAmyhz3jHlcSSWSTjQ8fJziBEycCwUlOGsuZMLGa1USJ0kADHXSMyZiqoFBJ5QVLEDhxso519NHHHvZMaeJuwsQ1XMPjPE4aaaSSSogQNmykkUaMGBoaKip99NFIIyc5ecVkFXXj5lqu5TEeu6JdoWaLfPLJJZc++mihhVZaySUXM2YjK51kYaGqNoSIXtGuqnvX38qa3b8GoP6bVtBUtLd8nWj1twdjExuH6jQuugnFU4qqDrq4xTr2QcsuONoIq1YDkLHy2XH3UUkl+9g3rjBlwsRylqOhsZ/985L9F2Ata6mjjnrqjfu/7gapt2KKDUugTimlRk3D0Z+NRk+kpk/et7GNXeyS988rEC9eFrOY53l+TveTSCIllGDFShNN9NAzIpxHr7M5HP36DhMmRMhI/Df8/yDBK2austCQwqJk2mSTTRZZ065nl0oq5ZRzhjP00ks55VN205wMDQ0r1jEP9Wyy8ePnJCdZylJ2snPMuuWU00XXuAlQEkggn3y8eBlggHOcm1Kq61xyUVCooYZKKkekSM8llwMcmDQeM488rFjnLMbu9byeNtqMMiV6+vIznBlhmUwggVRSSSEFM2aaaOI0py/bSYKe8KaWWqmpnAJmzKxjHSoqNmxG8hoNjR562M/++R6i5DXIY2vuZOV1DyJskPGJOM0fsxB915sHhcRID0R7QHPDQAOoFpTM16GqNlTVReTkN9GK3oeiaER+9F5jmxkfG7SkKCgUUUQKKbhx8xf+Mu793oePQgqNcknzQQ45ePHyMi9PutwyltFJJ2cZzASrK2wTSaSGGrLIoooqQ3moZzHXEQhixDBjRiDopptMMtnBjkmFTMnlhYLCClYgEHN+b88ll2SSpx0WoofODBcshwuYeiLA4exjn7xOZ4FJhUU3bjQ04sQvuvSB5Mrhaq4mSpR22mmkcUrpoAspxIePAxwgk0zyyGMnO+f8miqnnGyyOcpR42E5HAWFq7iKZ3l2UhdOO3ZyyDGsb0c4QiedY5bz4GElK3mRFxlggJWsJIUUBAIVlV56Oc95TnN6Qg2YEyeLWcxe9s74uCfDjZt++qelgVNQSCWVAgoQiBGKAj3mcSEnN9HQuI7reImXaKLJiLlbyGNeSCgoJJNMKaWECHGEI6+5B3BR0T0AVFd/ccT7qak3oao2Ghp+PeG6muYCxq+bKJk62wO/56mq1495v/6RJEjLArMbuk6BOxvSryY96wv09x8kGDyCqrqIRltfFRI9ZugecrfLc5Hxlg5UVLaznWd4ZlJXPN3741nGt0rOJW7cLGUpESK8yIuTKi9XspIgQV7hFRJIIEAAFy7Oc54znKGCCoIEySSTwxymmeZJj9uEiQwyyCMPJ04e5/G5OETJPKCisolNdNDBEY6Me11ZsLCRjUSIUE895zlvKI/NmPEOtfEy1ZsxGwkMBxignHJOcYoGGubsmOzYWcvaC865JBdmUmExQAArVlRU3LgxYUJF5QhHaKHlEg5zbrBjp4ACkkiijz7DxbGVVnlRXQA9/i+VVJJJRkXlLGdHWGz0DJ9JJJFGGs/yLH30UUghaaQZGiA9G6eeBauffg5zeNbGasU6qTUsk0w8eKacoMOKlWUsw4GDECHChI3McN1000ADJkyUUsrLvDzit6KgkEUWhRTSQguv8Mq4+7iKq6ihxrjRttK6YGp0rWSl4WKruwArKMSIsZ/9C6aekaa5jMm5gkIeeWSSaZRwCRHChYs22jjJydec8DMZ13ANVVRxjnNjJg0ePKxhDXvYs2Cuyclwu8tHvI5EOinLuZvFpsEah481fGZEmYpgsJF4PGi8ZzLZDDfGeDzIoqy7eanqvUxGVtZt1NX91Hh9deBRDnd+l87Ol1BVGyaTDbe7HCGixGJBBgZqgFdjEBVFM65dTXMRiXTS11c9L8lsTJhw4sSCxUiYtdCo/6YVKtLAlQcWL3QdI2NTFfUn3kl64EcABIPHsdvLLritZSwjgYTBdQjSRRfnODdGsVRGGWmkcYYznOXsnCd7SSCBJSwhQoTDHL7g/SqffAIEeJqn8eEzwg+GJzG5hVuopppiinmMxxbMvVsyf2SRRSmlvMIrIzypTJjYylb2spcBBsggg0wysWBBIIgQoZNOuujCggUvXqMGtj4/OM95TJiMkl699HKUo3N+THnkkUUWJky00EIttZfFs2uuUVDIIMMILZlM+TWpsJhLrlEsXDf1AheMpVpouHGTRhpu3EbqYD9+ggQ5zWlaaMGBA89QyyKLaqrR0EgggRgxokOtnnp5kU3AMpaRRJJhoeull7ahNp6raSKJRobFMGHaaaeDDtppv+QJSLaxzZgUTKeIu+4COzoz3Fa2XjBrWT75ZJLJbnaPmYB58JBNNotYRBNN7Gf/gs+y58PHcpYbCRU66KCLrgU5udQTDKmohrttmDCnOU0NNQtyzJeSdawjQgQvXs5xjmqqR1zLTpwsZem0XdHnknWB/wUwMrb+P//DvL75ZhRU3utu50b7DrxqN+9o+gpBofCbZe9A67fwcscKirSzfLPrdu7xPsDTwY24lT4Wrfw9Slxl4KP/MOjiqJjAmgw91dBzCvwbSHnPr9D+dJqG42/n22/dikvtZ6X1MOXfrQFbKjz1CLbjGvZmD1XnV5O5+knCb0zEUv45wv3HMFmzOfT6A2ws+CPm+iRaP9jILz//Md5T+D+sPnQXIdFNR8cL2GxpRKO9aJrLiEmMxYK0tw+61geDdTM6ZwoKxRSTSeYYzwo9iYZeCzZCBB8+NDSCBGkcahMp4hyOPPr7aybct8tVagi/ky13sfT1HUDTklFVG2ZzyrTWtWHDh49SSjnAAWMeoCfgUFDIJ58ccmijjeMcn5P4xRRSWMxi9rBnWt4QfvwsZjHP8Aw+fKxgBdVUG142GppRYklPWiWRaGgUU0wKKSgotNNOMskc4tAlz5g6mygopJBCNtm4cTPAAL30oqGNyAw/3nqjS44ECU57vrjQyCefMso4yUnixCdN0jWpsOjDZ1gOdAvKQkZFxYcPFy48eIzx99BDI410021YSltpnXAir6BQQgkDDNBKK9pQSyKJfPLpp58BBuijDw0NBw40NLrpNjQrC71Q/FRIJZVEEmmjbUzdv4lQUafsWmrCxApW4MR5wcm5/mPto49eeummm0Yap7SfqeLBQw45hsDbQAP11M/oAVpJJc/x3AWXSyKJ5SzneZ4fMwnIIYcSSmiggTbajOtuof8OHTjw4TNcUvR6ls00U0XVvAtiduxsYANHOYpAGOnD9Uy7Vqy8wAuX9UNgplixUkYZPnzsZz9ddJFLLkUUGUkI9N9inPicJ0KYKlZrGotz7wVgi8XNVsderir5JZZuG70d6WxqfD11DT8HwG7P4uV/fop4lnmwiHuaHWwa5qWfRVVdhJoegb7aQeGw7STK0rtIS7tnSuPo7n4Kj2c7W0p+QQvVJJJDjCgWHMQIs+/cf+ByldLS8iShUDUWSx6Nh66DXbs59OPb+H7n3+FQg/z39X9H7OOfJf6bT0HzAFyVCyYr6Z+E05Ec/rH5NmoHdpBt38rR5vuBwRqMwWAdFkvymFIW6em3Gu/19BwBXs2OfIpThkeIEAJFmTzTIgz+hlKHmhcv/fRzlKNzUht3IZBKKn78xlxAbzp67dwqqqinftb378TJcpaPG3d/IZaylAYaaKEFBYUtbJmzcUquPHQvsjjxcUNvLmfs2HHgGFHLUk/kNBkmTDhwUEghXrzTVuIsFHSPqzhxw7V44mWvgAQ3GhqllOLHTzPN9Ay1DjrmRGDT452cOIkSNeK/PHjw4iWBBMP8Pl5R2k46CRLENdTMmOml18g2eKkuOhcukkgigQQ8eDBjppZaqqk2Mm2+zMv48ZNKKkc5OkJAM2NmEYtooGHKwuREuHGTSioJJODAMe4yKioWLPTRRxddxmR/LjBjJo00MsjAjt2I+xhtVVZQCBDAi5fznKeBBmLEuIEb2MUuo4zGZOSQwxKW8Ef+OO7nKaTgxWu4bliwGFr/CBHDfbqffiNTWITIlM6NAwdLWUovvZzgxJy6IWWQQYAA9dRTRdWc7Wc0D626l39+6T7j9RKW0EDDBYVBDW3SONYrDb2GmoY2xoqtoGDHbjxI9fimhUJ6+q1c5/sHtjn28kjPdqrEHk6f+w7BYB2KouF0FvHN0lv5ZfcGwvQzQDcqKnXBnUSjvaS41tDcswtF0aiv//mY7RcU3EV39xESEzcB8E3feb7WMViaYZWtib3BJD6b+GtORAu4LfNhXnfs26yyNXEomEstBzGhYcZGP51Unf6C4WJqsSQbFkOPp4JotJOEhFXYrRl8ydvEmmu+iylsIrrGCcvfArEQJm8Ffv9dxtgadhbC6Rboj/LJ//kpuyPHeeHZD3DP+kfoGghhi5k42fbwiPuBCRNNNF1U8XgnTm7iJs4PtXrqCRGalsJQMnUWs5heeseNvZ+MTDKxYeMUp4x6vLL0hUQyO5RTTj31c25xtWBhCUuMmM/hbS7LWOlc9sKigsI1XMMhDo1bB2mhoQcB27DRO9QiRHDjJnmo2bEDg1nIggQN4VcvGTGVB7FeysGLl+BQG2CABBLIJtvYfyutdNFFN93EiRvF4XvooYoqQ9gxYWIxi0kkkVd4hXTSSSKJs5zFi5cDHMCOnVxyjSBmwEjqUkcdzTRPeEHnk89ylvM3/jap1fdSoaJix264JmSRRTfdhpnehIkcciiggFOcookmMskkjTQ0NFppNcptNNI44aRsHesooIB97KOTTvqG2lSP34yZG7nRsJBpaJiGmkAQJmwoJ+DV9NPDhc3DHMaJk2KKjfiCDjp4hVfmZNK3hCXEiF2SWIXxKKYYYIxrpYqKHz+55OLECcBf+eu8jHEh4cZNHnkkk0wffZzhzIxi1gsLP8qpU1+dlTHl5NyB21ZER+9BgsE6enqOoCiaUW9QUTSWFH8RBZXz7X9iYKAGIaJEIp1EIp0z2ufawKt1H9/tqeHPvZu5xfU03+ouQkHFgoMmqjBjIyx6OXnyvhHru93l/F32Z/jvtf/C1/d/jk8feh9FRffw3Fe+z7NfuJ2/f/FrxrJOZxEASzL/gzNdvwUGk+M0lDcT/MO36e3ZAbEBHJ7NJCTcBIBH8VBOORYs9NBDK6200DKnykc9lKCJJqxY8eI16qWd4QznOT/v9/KFQDLJRlIaGLz/hgnTR59RD7GTzkm/qxRSyCFn2hkkF7OYRhrpooutbGUHO15TSjCJZC5Zy1qCBDnPeSPLfMJQs2NHRTXmVYDhldhPP330GXWtzZixYDGyjg9X3CsoXMu1vMiLxIkbhgO96TWyx2P4+730jggRms69+bIVFvXsjCWUcJrT45Y+uBKwYzdc5PSmB+me5ewYC0A22UbtwVZa6aADK1bjguqll1pqZzyBsGChjDIaaTSE821sMyysrbSO0Xy6cZNFluH/HiJE57CmCzIOHKxmNa20EiSIGzdBgrTSSjvtFy24mDHjwGH8IPXkBeNtN5VUruVaznCGNtqIEKGGGqJEsWDhTbyJdtr5G38btzZkgADppPMSL+HFSwklHOc45zk/ZkzOoebCRRppRqIgGzYyyeQMZyY99omKJJsw4cJFHnkkkkgrrRzn+JSsh5lkUkYZRzk6J+5Ky1lOiNAlFRgTEzfR3r6TFUVfI1j9ECkMxi/FiBlxbs00c45zuHHjw8dxjk+2ySuWRBLJJRcvXnroMX4HF8twK+8vV9/FPW1w+vQ3jM/1ZDQmk80Q/KLR3jFF5wdLIWjjZhd1OPJwOIpwOPJItlXQHa+jv7+G3t7jxOPBMS6a0yUpaSuKotHa+tSU17FYknE48ohEOlEUjd7e4/x57b9ww57vA4Punw11/4E//W5aWr6LCDbivO/H9N2k4vq94OSJrbzhnIO9//4bXC/Z6b0+DuveRUbu10khhTLKDO+H6RZZnw0yyaSXXkO5aMZsJJSKEKGPvjGa8AEGFrTQ0vPOZNwPD153j625k5v2fnfG26qgAjduXuIl43mh3/sdOHDixIsXBw7ixGmjjbOcHfFdLmIRKaQQJ06MGLvYNaV9b2QjL/ACMPis2MGOGR+HRCIZiYJCIomkkUYiicSJ00WXofyJD2u6h45zWNPQRrjBRomSSirttHOUo8Y9chnLjLquM1HAKSi4cOHFSyKJePCgotJPPzXUXNBIM6mw+AbeQBtt7Gf/vGUK1NBYylIjVkYdaiZMNNJ4Wdd9myl6Gvs88nDgGJGauI46I1h1oaJnytKbDZvxWYiQUZA1TpxuugkTJoEEFBR2s3vcCYaCgoaGZajpAnIiibgYTFsfI0aIkGF1012B9aysESLGJGaAAbx4UVDGLT4+OouUfiNQUBhggBZayCef85znBCdQUbmGa3iWZyeNgcwk0xDsk0iillryyaeGGk5zetwf81TjIwspREObUv1GN26u4Rr66GM3uy86BldFJWOo2bETIcJZzo4Rni81+nc2/Pdiw8YmNrGTna+ZhA96WvMssjBjpo02aqmdlRiVjIy3AaCqGudKXuD2+q/xbP+fObL11/TcqvDYp/+VDFMz/9bmoqPjBRRFIxbrJRh81eV9uLBoNnsJhcaPV1YUDYsl2fhfVTVisSDxeBAhonNauiI3904A3NYCesPnqKm5f8wyNlsWS3M+xRPbPobl6zuGjrWTnvZHINgGbfvgxFmU6n7E68pIWPYTuk59EvsDz+F7oBuA+h+6yfynXvK1xeRF02mjmWMcW7CxzBraGE24fo+zYCFChDrqOM/5eY9nHg8967cJE/30c4Yzky6vl5fw4qWKKmN+4sHDtVzLMzwzqeJFRSWZZMPDoYsuaqgZkVRQjyM+xrELKvPWspYuujjBCQooIIMMzJjpomvaVkqJRHJpSCWVRSyihRbqqSeddIop5gAHpu2KPhlOnEbdy8nmkZMKi2bMLGUpJZRgxkw99exn/yULYjdjZitbOcABwwIUJy7dWsZBNzVf7udGL6yqa1l0gSxKlLOcpYyyMcoBPTY0QoTwsBYjRgYZmDAZGW3DhOmllxgx0khDQeEIR+igw5jU2LBhx44J0wUnBgoKpZSSRBImTAQJ0kknAsF5zhuaYQ2NjWy8YF2uDDJYwxpe5EVDkNL3YcU6RnAtp5wBBibNYgWDE5i1rKV2qF0IXQuVONRcuIxkV2c5SwMN07rWXLhYzWps2KijbtYEkelyU+Cv7Gy+m4D/3YTo5VDVh1FQyCGHdNKxYiVMmCMcuSKzHquoOHDgwoUbNy5cJJBAhIgRezaTuNXH1tzJymu+z7t/NWhtc6hBQsLCA7deS+zZjXTGPeQW7qGnqBXn0yv4ae8t3OZ6lD8NbOWdhx4GMDJjzlSg08tbDP6vGVlDgTkXFIdT/00rvOnDpGd9YUrLx+NBWlt/QCx4hvScV11RG+r+g/SsL6AoCh5PBeFwK5FgA0UUUWRbw8ngHqqpXtCKwalgwUIWWUZZmyaaOMe5KSuoN7IRM2Yj+dnwNt1rWVfE6lYCgE466aabJSyhmmqOchQfPrLIMhTYCorhyaEnR+uhhzLK6KKLZpopo2xEJtKpkkACeeThw2dYAVpoQUXlRm7kAAeoY/JsuDnkUEwxRzhCE01sYhOHOTylmHqJRDJ/pJNOCinUU08bbfM2x5+yG6o+YS2nnF56qaGGU5yaU22mFSuLWYwbNwJh1ENbqBpUyexiw0Yhhfjx00MPr/DKpO6zJkwkkkgPPQQJkkEGS1hCLbWc5OS4EwcrVpayFAsWuujChs2wrAwX9iZCQzOKM8eIYcOGHz8ZZDDAAN10k0oqTpwc5egFC9BOJPQvYQmNNI6IFcshhxRSpqQdvombeJEXpxzX68fPIhaNmIge5zjddJNLLmmkESPGAQ5My+1Nd9nIIgsvXiPhkx4320vvnE9+dVdHPSvkGtbQSSdnOXtFeCkkkkgRRUapIx3dgjp6Un2xQnHHexL49p7PstJ6hM64h+tXfZ+/7rsdt9JL+et/hPt4Et8/8lHsapCXBsr5SfV7CIdbMZu95OTcMWtxjIqioSga8XhwhOAIzHl9Qocjz3CXVVUba4q+w28//xHsf40xcKuT9KvGWn/i8SDNzd9AnPsVZN4IvTWkl/wEgP9b/XFue+nL5OW9n3g8yPu9AR6vPYPW28TRyN4LCgeXK3p4SQ45OHAYLtCTJY/w4GEtaw1FmguX4dbvwjWph4AJE378pJOOG7fhAtpI44gEeddzPQLBAAOYMNFNN2c4YyR80hXZ4wm4fvykkMJxjl+05dSBgzzySCEFK1ZODbWpsJjF9NDDOc6xjW0c5OBlVQJNIpHMHzOKWVRQSCONQgpRUDjFqWlbGmayTz9+AgQIE+YgB6+IiZ1kYvT4y+Ho7p7D0V/HiRv1gLro4ghHSCONVaxiP/sntajpFkU9k2gKKWSQYWS8DRM23GVHZ7kNE2YPe8Zs7yquopVWDnAAFfWiXBqXsYw4cY5wxHhtwcJe9k5p/UQSWcEKdrP7gsKdBQub2cwzPGMIbiZMbGTjCDcFO3Y2snHcsh9TRa9l6sFjBIX302/UNJsL7l7yEDFU/hiqhaqfAVwRsYmppLKYxYZSbS5DBxo2b0S84yBv/8oPebLw4/xX/Yf5Qcch+vtrSE3czkC0kf7+Gnp6jtDXVz1n41hIlAXuw4KDs80/Q1E0rNY0tvv+mXd4HqH8vb/C/HKE5K+++jvp6dmBEEH6zn6b9CV/IBbrpPn850jP+RqpqTeQ672F3/3T+6hx38E97z/GK7xyxZammAgPHooowo6dfeyb8B66nvVUUWWcHx8+I2FcGmk8wiOoqg0lHjESkdmxEyVKCy2GJXAqjJflfKGTTjqFFBqlNxJJZBvb+A2/meeRSSSSy4GLTnBjxmz4wXfRxQEOzPmN1I2b1azmJCev2MQ2kvGZ6oM6jTTKKKOBBk5y8qI0unrB1umkJ7Zi5Wqu5s/8edZ+D9lkGxlLx0uWcyFKKKGb7gtaN61YWcc6DnIQDQ03bgop5AQnxlg0kkgiQGBWi7Mnk0wFFXOSXOdNJU+iKnF+ffw60kknl1wj+cPlzFKWYsPGS7w0J5bZD5U/zB+Cx/CqObzd2cM3288YiVoAPJ5y6ut/jdnsxeksoq1tB8CMM49ebiwNfJXquvsxmVwIESWQ8X7qOh8jIWEVK0wb2dX3CzLtlfz2A+8l/f0DNBx9M+x9Euv+OKHbV4E9lfSyX9D6UTv538vDYknGbkljWSiPez/fx4b3PjDfhzivuHGzilU8wzNjPtMVYU/xasKhbWzjOMeNTKO6V8lyltNPP+c4d1nWRZsuKirLWY5AGHOzCiqwYeMgB18zMdkSieTimNVsqJVUEiGCE+cYV1GBIEqUYxyblVgl3S02lVRChKih5oKTYInkcseK1SigOhU0NHLJJZtsggTZy94pCRN6JswIEQYY4BznxgjcfvwsYQl72DMmK+/FoqCwlKUkkmhYGKNEOc3pGZfIWRT4AoeKH8T8xxpgMBZoOcuppXbKrlwLDStW1rOeM5yZcdC72ewdV6hLT7+VJPcazpx/0BAM1wQexIqLU72/p7X1KRRlsDD5RAlnXqt4vavwetdx4IYfc/ezD3EsGsKKiwprB199+XYA2tt/TmLi28asGw7XEO3x8/rk1y+4epbTRU9mppeAmqniTEFhG9smLGWTRx755LOLXYQIsZKVKCic4IThvZBAAskk8zRPX8whXTa4cbOGNUb4g4ZGFlkkkSQT20gkkmkxq8LiWtaSSCLVVHOSk2M+t2GjnHIcODjK0QsWxR6OCxeppOLHjwULceK4cPE4j2PFShFFJJDAHvYs6HTcEslsUkwxfvyc5zwNNGDFOqIMB8BZzlJH3axanJawBDv2aVuyFBRs2HAMNb3uz1TWq6CC85yf9uS5/nsOMt7Tz9WBR/Gpdn59/Drjs3TSjdqhlwtmzOSQQyaZCAQHOTipC10g8GkOLfk+P6n5Z9xqH59oi9HU9Bh9fdVommtE4hebLQuAWGzwPZ9vHe3tO7Hb8jBFBnAIG3ZsWGIxzsVO06/0G0lkhjNeYXYrViPeVRca9JI7hzg0YllF0XC7y0lM3MTZs98lIaGCrq6DKIqGENFx97lQ8HgqcDqLeI9/G/958L0TLtfe/nMAQvs/RPr2VxWdfsXPUpayi12XtfUriSRu5EZCiUVUtT+CG7fhGdJNN+1DbTK3eBMmiikmk0yqqeY85ymkkAQSCBOmhx7OcpY4cbaxbYTiKoEEiigiRIhuuumiix56LvuEQFOhgALyyON5nseLl0UsIkyYFlo4zWk5R5JIJNNiUmHRipWUoRYmPKUJlQcPJkyTTgAtWFjEInz4OMShcYPXXbjIIYdkklFQ6KWXJppoocWIVbyZm0dYKX34GGCAJ3nyguOUSC53PHiooILd7CaTTFJJJUiQvqHWSuuMMlteiDLKiBOfUgmO0SxmMQkk0EUX/fSTTDIqKvvZP+lY9TTS47mhXQhdwIBXC6vvqboDGHRX28c+uume9nYvBSZMePEatZnSSCNKlHOco576KblX1z+bS3plDVZrCmazF4CBgUF34qkkfjFhYTMbRhQQDxEil1w0LJzgBM00YsdOIYWkkEKUKCoqUaL0KkGSlBQG4l0jMukqKFiwsIlNF7T26AlrTCYbiYmb6Ok5YhzDQhEcfb51bPF/nhNiN1vMxaSY2vnXj9wNK64ivfxROjsfhf94J+94+nfclfgwv++9mo//pYb09HsBaPh9ClvfkEgSSexhz5wKNXrhaB8+uukekThrtvcTIEAGGZzjHNUMxq968BiZlp04AYz6ZBYsxnsCwRnO0EUXZZRhx0411bTSigULPnzkkYcTJ/vZP2OvgyuNEkpIIgkNjRAho5i3RCKRzIRJhcVNbCJChHbaSSONnexEQTFu5L30TtmtxIQJ61CzYSOPPEyYxqRvziOPxSymiSbOcnbSQpFXSrkIiWS6+PFTTjk99GDDRhNNVFF1SfZ9HdfxDM/MKCvxZjZzlKMjEnX48LGCFZzhDKc5PWJ5DY2VrCRChIMcnPaERy+foAsUn1w6GPv1uZf/FRhM0rOGNdRTP643xKVCQcGDBy9efPjw4EFBIUaMDjrop58BBmimeVrnQAiB05lP9W/6SbpqH+E7VuD+yfQEgxu4gQYajCLhw793CxZKKCGFFAYYoJrqEYKHHvOql5MZjQsXG9jALnZNy5XZbPaSl/d+Tp68b1rHMpckJW3Fn7Sdoyc+YbzX8FweVLfB9nejWFIQv/8cFHhI395AKFTNy9v+nSRTJ7lPP06ltZKlme/hu+ffOSfjs2JlJSvR0IgTp3OoefGSQgq99FJF1ZyUU9DdyttpnzDPgAkTHjyECRvWxmyyKaSQPvo4xrFZd3eXSCQSyYWZVFhMIYUVrOAJniCHHAooIErUuJG7cGHBwrM8O6lbw1rWoqERJEiYMCFC1FE3brY+M2ZKKSWFFE5xalaLT0okVwLZZJNDDvvZb1gWN7HJKDB/kpM00jhtJYoFC2tYY2wHMCxAo7dVRdWMtPgWLEYm14McHOGCVkwxWWTRQQenOIULF4tZzAEOzDgL5HCr4sbAj3m+6h0AfHrZt/n0ofcZyxVRRBZZ7Gb3Jc+y7MPHSlbSQguddNJBx5Tju+6r+CYfWPlpvP876IY62so2/PiHU/8VM2xdBe2nybhu8u8xmWTcuHEONRs2BGLSAr7TwY6dFaygjz4OcWhKx70o8AXqGn9Jb+/xOS+LMRqz2Usg/x6suIgTpULLJVtrxKEG0ZQoz/at5MF/uBr+5bP4/v6XvKnhayio3ODaw/teuhtF0fjVmg9xX1cWh058hI0F3+ITzqd455Hd0wrNmA4ZZFBG2aTxxXot1JlY76dCMsn48XOUo2P2GyM2xuVWReVmbuYpnppWeR6JRCKRzC6TCouLWXzB2kCppLKUpdRTTzPNtNE2RvO9mc38jb9Na2AqKgEC+PCxl71TcrdSUPANNRWV05y+6LpGEslCwo2blaxkBzsop9xwzTZhAgZ/N0UU4cdPmDB11NFAwwVjVEyY2MIWXuTFCePfdCFyNtyZnDiN+OUmmjjDGWOy6MNHEUWECXOYw5fMfSqbbCxYLmmym1xyySKLvewd44ablLQVuz0LTfPyQGqI1734E15X9Gf+ULWN8sCXCcbbqa7+4pyPUUFhK1vx4CFChB56aKd91uI8TZhYwhLcuNnFrinds81mL8X5dxMR/bNmXfR4KjCZbKxIuYeTwceIRDqxWJJxWwsYiDWTbqpAReNmZy0/6osRjLWiKBrV1V8kL+/9mEw2rrOt5NtH3kboTdmsfOX9OPDSOPACe774CGy9CzoPk77o1XIF+Uo+/3NNAW9+cuec1Q9WUbmWa3mCJ8YVxK1YWcQivHhppJFjHJuTcehZlfV6iAoKq1hlWDpt2AgTpmGohQjhxEkllfyFv8hnuUQikcwyZszkkks66ZPKadpkG5nKZKCJJp7iKRJJNOKKBhigiipChFBQcOGa9gHEiXOc46STzjrWGZPhKFHjfxh8ELbQQjLJRtHcMso4whHpoy+5YtDQWMpS7NiNMhXDE7PoE6kYMY4NNStWsshiHevQ0DjK0QmTw+SQgzbUTJgwY8aCxfhrwYIfP2mk0UEH5zh3UUlz+ugzalP68RuWJb1Q9Iu8OKPtXgwddBAgcEn3mUUWL/DCiInw8AyjegmKG2oGP/tD1TYAjlTdPedjc7vL6ek5gkDwkvUMfpJJCMVx4yaJJEoomVHcqo5+feaRxxGOGELEVFiW/wVeqpo4ecxUcTjyiMWCmEyDMZGxWBALDs6d+wE+3zoikU6c1hxMJhc2PNhx80hfkFeqbje2UVBwF24th8dTf4Ol4gG+v+oY/+Q3c+TEx4eWeA8Nzz7Ff15TzmMdr1Di/hVJcQ8fvtONGzc3Pzl+hs/ZQndnHi0oLs6/B+eZv2LFylGOcoADczqOECH8+PHhM3IaKCgjEhxZsZJGGitYgQULgPQukkgkklminHKWsIR66hEI4sQ5y1me5/lJ15vVbKg6HjwUUIAZs+EWN5WMh1NBQxvx4FNQjHiLfvpRUcknnwIKZKIbyWWJGTMllODEafyGzJg5zGEjHsyGjY1snDAxSBJJFFNs1NIyY+YarqGJJkKEOMGJMZYsBw4CBIzSN2HCRIiM+NtMMyoqOeSQRRYxYtRQw3nOX3TscCmlhAmPiVu8VCgoXM3VPMdzc2blGc12tvM0TyMQlAXu41jVvZdkvzPlD6vv5LMvHiCDdPazb1p1bvUMvamkGok3GmjgHOcueO243eUUpt+BjyycJPJ/aR/jxsZ/M9yKp0N54MsARAmioHLu/I/o6xtMvOJw5GEyufD51tHfX4OqaphMLpa638Xx0O/p6nqJSKSTnMzbUVBR0dhqyeQrJXfT/+BXect6K8utXUZ5jIbPqtzxf09yretFaiNpfKLsXg70ZPDpP9s4xKE5TaxkwkQppYbrp+427sbNEpYAcIQjlzS5UwoppJOODx8CQQMN5JEnn9USiURyicgkkzLKeIEXphwHPifC4kSsZS1WrPTQgwsXXXRxhjOTpn2fKhqaITQmkkg55TzJk5ds0ieRzAb55JNHHkc5SjvtRImOmUiXU04FFZzhzJg4rySSWMQi+ujjNKdZxSpaaDGSVrTTTgEFLGYxv+W3F52a34yZPPIooIBTnDKyHY7GgYM1rOEc56ildsLMp9vYxm52z6hYtKraLjp+zYOHlazkb/xtztPLL2YxQYKc1ZpGlK+4EBPFIV4K1hR/j5aTX8aJHRcuzJgHxzQU16pn4u2llxgxkkk2wgJ66aWRRpppnnaWXk1zYbNl0dt7nGWBr3Oo6sNsC/yaDuo4WHXXlLfj8VTQ3X3QuFZstixUddCSazK5MJlsRCKdhvCoWw1jRGnpeg5VtREKNeJylRKPB0l2rKJELeFHi+/A9us6Yz/B4HE6fraajH8e/F7D/WFWO1bjxcthDo+bAXwqWK1pE9a0tNmyCAbr0NAooYRUUjnGMaP+sF6g3YKFl3l53uMAVVQyyMCK9bKtcyqRSCSXI7rB4a/8dUqK/ksqLFZQgQ8fTpwMMECQ4JBuViOddF7kxSllJEwnHS9ezJhppRUbNvLJp4467NjpoYcaamSMg+Syo5LKCyYOySSTKFFChIwY3RgxkkiijTaqqDKEQAUFN268Q82DhxZaqKFmVhO5bGADKiov8/KElopEEtnEJjx4qKXWyLA5fByZZJJAwpgkGJeSRBJZwYqLSqwzGX78LGIRLbTMKO5vPoXF4WMwmWyoqo2Ned/lmapbUVBw4MCFa8gqbqWVZpqjzZg0E6sC35kV11EhBAkJy/lhaSX/2Zk1ZZdcj6cCgO7ug7jd5ZjNXpzOIvr6qgmHW4lEOgGM8iIORx4eTwWKopGiFKGgUhfaRYp1KQAWHDya+l2in6sjfUstXV2PkZBwEwNvS8fxi0YsWMgm26iHeYITtKrdc5aQx4GDxSzGgYMqqgwhEQatiWtZyxGO0Mj4wuZwRtfflEgkEsmVRQYZ5JHHHvZcUF66pMLiyB0rpJNuJJXQJ44X0jink04eeVRTTYSIEat4mtOyhIbkssOEyag9qKAQJswLvDCtbZRQQiuthmCjoBiWBT2mMErUiHWcK9y4KaEEN27aaKOOujEWFAXFyHraSCMJJGDBQpAgzTSTS+68ZCQdjQkTq1lNH30c4cis3Fv0mO422jjGMaKKmHehbzbQNBdXF/ySPc2fIh6PUpj2Lg5UfRAYFOwaXtoAB1/mNw/8Bx/Y/4kLbG1qFBffS1XV5+jufhyf740zFsBstiwsluRBi5w2GFsfiwVJT7+Vmpr7ASgNfJamlj8Bg0LyouQ7qY++RKIW4PefvAfvm5/Hbi+n4dR7+Pmb8njw5R+TSipRonz3LU1U/OocsTn0cHHjZhnLiBHjKEfHlL4wY2YrW3mWZ2fkaTOZNVMikUgkly8ppFBO+QWzYM+bsDgTCikkiyz+xt9k8hrJZY8fP0tZymEOz2ox6Ru4geMcp4YacsmlgALOcnaEq5cJk1G/7DzngcHkEmWUkUACAkGQoFGLrYceggQNJU8qqdRSO2Ex70QSySSTRBKJE6eJJlpppZtuokSxYqWCCgD2sx8TJlJIQSCoo27cbU7GTK1tywJfR0FFwzKu1SuHHIooYicXn63yOq5jBzvmXRCea/QEPTAoSEYinQTfmIX518dQVRdvLP0rj564esrb83pX0dn5kvHaYknG51tHVdW/4fFsx2pNIRyefskJmy0LIaIjBKGsrNv4XU4/WZv/wNsf+RUng4/R1raD5OTtKIpGTc39bA/8nlZOo6Kx78Rg+ZVYJMaO//xHPv+1AapiL1MfO3PJlJfb2MYudo17XSmKxnr/B2hu+sOELuISiUQimRsUFFazGitWVFTChOdccT8aFRU/frLIwonTSAbaO9QWs5jHeXzSbVw2wuJ61tNO+0Vl35NIFgorWYmCwgEOzLq7tF6nVEWljrpxre7XcR1HOUoJJexjHx10kEceduxG6nwbNsN91YULO3YAGmmkiSZyyMGPnyaaJi2xY8JEKqn48JFAAtpQEuYYMSNt/nRL6wxHF05maqXzeCpQVY1wuNXYlh6zBpBAAktYwk52zniMAGmkkUIKhzk85rOrA4/ydNUtF7X9hY7NlkU02ondnkd392EaPq2Q8ZkLr+dyldLbe9x4rSga8XiEyNbFJO1XsViSjayxU8HhyKOv7wwADfep2N73S5R/v4OBSqCxH97wT5gf+DEpXxtprUxK2gpAadK7iBFlvcXEFwvvpe6+f+E9S57jMIfpdbpHXDtzzVTctjXFwXXWt/DH4MOXbFwSiUQigeUsp5lmznOeJSyhjTbqqZ/z/frwkUkmSSQhEDTRxHnOGwlt7Nhx4sSFiw46xnikjIdY6L2IIhEgMO/jkF322ehrWCPyyJvXMSxlqdjCFrGBDcZ7TpxiFaumva100sVWtooKKoQJ05TXM2ESPnwihZSLOhZF0YSiaNNax+HIE2lpt4x4z+OpEIsDXxQuV6lwOouEy1VqfLaYxRf9nSWSKFaycl6/94XS/638J6Lx3zWxInC/qH8ybUbb0Gl/n0sUFNwlbLasKa23b8ObxO71bxUTEQyeFPW1/y7CN+eI2DWFwudbJwDh9a4SiYmbBCCys283lq/fVy+Wu24WgPD51k15HLPRr+ZqoaJecLlFlIt00uf1Oy8qumferzvZZZdd9ul2O3aRSqoookisYIXYzGZRSaW4lmuFB8+465gwiUUsMuZUNmxiC1vmbIwZZIhNbBKVVIotbBHLWCaSSRYKymztY/6/iAv1HHLE1Vwt/PjnfSx6t2IVFVSIMk1O/mSfel/JSlFI4byPAxj3JnIxN7N00kUllSKbbJFOukgmWXjxzubNal7P1QY2TFsgHt63slVYsMz7sSyUriiaEEKIZYGvC693lfB6V4mef0wR2wK/nvI2DIHtM8qUFQbt7b+aUFAcITS+MUsMvDlTvKnkSeH3Xz/hvnubesVG2xsu+flz4RLb2DalZVewQrhxX9T+0tJuEdnZt0/4eSDw6Xm/pmSXXXbZZ6tbsIiNbBTrWCdKKBHppAsXLmNOY8UqruKqEXMcJ06xmtViC1tEJpkCECqq2MSmCQXLmXYFRRRQIK7iKlFGmTE30RXo9V8zi/sqvikCgU+LpKStQlE0oaq2aSvXh/r8fyFT6SZM4mqunvdxuHCJSirFu3m3eDNvFpsY1DRrmmvEWLPIEstYJiqpFEtZKhw45n3sss9vL6FElFAy7+OYrFdSeVHCXRJJIp98UUyxKKPMEB7n+7im2pcGvjrmvZycO4z/U0kVV3O12MzmEb2SSpFL7oTbTSddLGHJvB/fQu2j0S14iqIJq/VVy+NDq+6dcB2ns2hK+7qt7A+vCpmHbhixjfo/+wf/nv2wqP++U9Q/5BJfX/6lEddAbu6dAhCHNrxBCCFEQ/2XxWY2z8t5K6JoSt4A11veOmMlx2Rdt7pmZd024rXssssu++XcM8kUV3O1SCBh0uW2ZX9JlFMuUkkVlVSKdawzhELdqLSNbYbgOBvdilUsZam4iqtEPvlCQTMERF0QHP0/IFTVJjTNJTTNNW2PrAUbs2jFSiKJePESI0Y33RRTTCedVFN90fXhZoIXLytZSR991FNPLbWMl8QgmWSWsIT97KebbhJJpIgi7NjpoINGGmmlVZb2eA1hwkQllRfMODXfFFAAwGlOz9r2QoSMJDoXQkHBh2/GdejmitzcO4nHg9TW/mjczxUUAgTIJJPDHB6T+OcqruJZnpW/+QnYFPgpG6whvvTyu4z3Gs59hPScrwHw7sW/5qu7vaiqDZdrEwD5+R/gzJn/GbGdhtqPk5n7dSPh0URxrHrm07y89/Pcv3yV9LsjKIrCmsCDvNPVRGM0mQ9v/DgDt2Xy4Hvfz46BFI53/4xsz/VEhxIdHaj6IPW/8pF+azvX2N7KXyO/n7OyGJORRx755HOQg3TQgRACRVGMz3Ny7iB+7nG++74b+OK3j3GQgxMWYnbgIGWofXarg//aMfh8U1ULFqufAwNP0sr4yYRWBb7DWxwDvM/zE25p/CxPVb1+9g9WIpFI5hAzZiMT+su8PO4cfzQrWEGYMCc4QYQILlwsYQkmTBzj2LRKcOkllzLIwIyZNto4ylFju0tZiorKCU6MmGeMTvI3UdI//X1F0UYsc6GcDwtWWNzGNvz4OcQhOulkGct4gRcwY6aUUgYY4BVewYGDBBJw4KCa6lnJNJiYuIn29leTWSgoFFBALrk8z/NsYMO4k34VFS9efPgopJC/8JcxyySQYCS6MGEiRAgFxUj6IRC0004LLbTTLieXVwgFFBAjxlnOzvdQJkVB4Squ4mmenpXt5ZCDCRNnOHPBZZ04Wcta4sQ5w5kFe67eVPIkA0Jwlpdo795LY+OjxmcaGktYgg+fUQbIhIk66macjXIh1FW8WEYnqZmI0sBn6Q+e40upCdzi+Atf6Hgv32v8HX7vVbR27+L/8rwsXf8L7PtKuLHxHpqp4njVpxBi8DF277IHue/Qu+nvP8iyZb+guvqLpKbeRFPTY+Pub3Hgi2zQCnk52sWeqju4Z+n3Afjgf34cXGZY/C9w/k84PzYofHmefYnGyk04lCB9P78Fz9t+Q88v3srbs/7GTnWXUatxqvj919PcPHkWuqlgxswmNnGa05P+bqxY2cxmXuEVNDTcQ82GDYB++rFl3cT+ui/TT/+IiZIVK0tYQiqp/Jk/43AFRnynt5X9gZ8euxmbLYtgcPoZjSUSiWQ+ySSTUkrZxz466Zz2+iZMLGUpDhwc4AD99BufuXEzwABRoigoRqb6dto5zWlyySWJJD7/lc/zto+9jXrqiREjhRQWsYgeekgkked5fl6MZQtWWATw4CGPPHz46KCDoxwlyuCkKYkkiimml1666CJMmMUs5hVembUyBAoKhRSSSy6nOU0NNaSRRgIJHGfwIenCRQkluHARI2aUGuikc0Lt7XAsWIgTN45LRSWRRFJIIZFENDRixGijjdOcHlcY1idKAE1NX8XpXGdo30cTjbbScuB10HKGb/37F/jvE5+cVg0ts9mLENFpFWzWNBd2ex5udzke1yLO1f0vNlsWiqLR11eN2eylr6+aeDyI2ezFbPYSiXSOO/G6XItFl1POec7TQcd8D2VSvHhZzWqe5ulZKU9jwcIqVrGLXZMuZ8PGJjaxk50ECbKJTWM0ZwuNxMRN9PQcYUn+fawxp/Bc5BRHq/5jXsc0mWCpKBp+//UTCk7Dme3f2W1lf+DXZ/6VNTlf5bmqt435fFPgp+ysus14/aaSJ6kTZ6jp/C1udznV1V9hUcnniRFlnWk5Dx991WrVfI8F/xfDHN90I6U7/2S83/sOPx/Y9yAHo2c5dPKjUxa4H1j5Ge5I+yH/VfcRnhxIIoE0GjnOn1J/zJua3k9taCf3JKdTFcpjdzhGwJREvLWeX7V8hNCwycFoEhM30dt7nNV5X+dA7adYnvEfPH/q3VMa04XQhcAd7DCeJRNhxkyAAP300zPUbNjw4MGFCwcOggTpooseelBQMGEihxwSSOChlVC4b8esjFtyZbA68F3+wdXB/oFF/M8LFhISbmBF4H72V71/3OXd7nLWpn+B2z078ardrHjgGOkrdgDQ8GkFPGbM9Sa8x9O488zXeKrvSc6e/e6kY8jKuo26up8ar32+dSQkrMJhyeDZ132Obz39df4adDJANwCNvTupr//57JyAiyApaeuIbM5OZ9G4GZU1zYWmeQGIxXoxmVyoqkY02mvMoSSDFBXdw87KhzjhLKS3xs43dy6loXsXeenvocNupk2p5ekPfZ6kx5Npe28Y8+PdvP33PySz8TAv+EM0duygt/f4mGfg7Yse4Yev3AKA2ewe8Xk22ZRQMm4ptEIKSSfdyACvZ6o/wxmyyCKZZM5ylpcfU8l+fY/xvQ4nkURChOijb25O2gVY0MLidFnNao5znB56gMEHaITIjCe9y1hGCik8zdOGhtWKle1sp5tuFBQGGKCKqimlnZ0pJkwkk0wJJfTRx2EOj6j5JoTAZksnFGocITjqKIpivP/ihrfw/a638kTvE5w794M5G7OOzZaFzZZm1ElTFI2UlO1Eo73G5K2n58i4E1NNc2EyuQiFGo2SBnrdtsuN5SznJCenpECYL/Si8TvZaVjFZoMtbOFZnp3wcxMmtrKVF3jBuBGqqGxhC4c5PKHb20LG7S6np+fIpMvoShGPp4Lu7oPA7FkRGzZvJP1vz1/0dmaL+i9pZHx88uMqLr6X9vadJCZuYu/elTx/3RO8/qUfjXDt1DQXVmsavb0nx6y/tuT7xImy0eLmG4cHBc/g32VSvv/tpJgW8ULVu8asMx4FBXcRDDaS57qeXVW3o2ku3O5ytvk/x29PXAPAosAX+JrvDP/WkUl/fzXrlTdzsPZuzmgNEwrZaWm30Nj4KDn2lQQGklAQvMzLF63cVFDYxjb2snfM/WUyob+EEtJIQyDoootuuumld9C6iI3ilLcx0LKT+FALeQt4pek7WK3ZFzVeyZWFxZI85Tqnubl3YjLZaGx8lEikE4slmZzM27HjJYUC9rZ8loSEVdgtaZw+e7/x2x/vmT+eVd7nW0dHxwvGa33eoCgaPt86XK5STCYbmjao9B4YqKGz86UpeT3MFU5nET7fOs6fHxRcJ7r/WyzJqKqNcLjVeHbY7VnG51eSsOjBgwMH9qHmwIENGwrKuMsrKESJEiFCmDA+UxpOz1LekRXiAOXs63fRE6vBVvs3Wvw5/Di/hfRvNcPul2BVCabfHOOnT3yWZ9rd2Bt28Zf4Y1Oe09uwsYY1tNLKMY6NcVvVFXnD5YjLkStKWFzOctppJ06cPPKM923YOMABOumkkEJaaCGVVDLJ5AhHaGRiy9oylmHDxh72GO85cY5x0blUJJJIOeX00stpezedAyNvEKpqIxYboGHfZra//UYEcUxYOHziYzTsXcmD7/5nPn3ofZd83MPRb3T6/3Z7Hv39g8cx0cTG4cjDZHIRDNZN27K5EMgnnxxyEAhixGikkVOcmu9hGfjxU0EFT/HUrFgUh1NMMemkIxBUU00DDcZnLlysYhUv8/KYOEUTJsNlbiFbGKfCRJN2RdGwWJLRNBcDA3WYzV5MJhvx+GC8XSTSSTweHHf9n666m9te+vKUx2A2e1GUwXqSoydVl5rc3DsNS4HVmjbGu8FqTaMs9x4OVt014TbS0m7hdv/rKLec5B9e/BLtW9byQPc/8IkDHzSWURUzliF3fxicVFiwkJ79j9TUjlWW6cJ6aupNrE74MBGCHA/9nkzrOnZV3T5i2ZycO1BVGzU192PRfNzguoMnw7+iv79m3PHasbOCFQQJcohDxImzkY0c49ikCpGJFAiFFJJGGhYsHOPYhM+x4ffb4VxIiTMRbyp50hCaJZLZwGz2UpT/UXJZxc76u4YU34PPeas1DU0bVBrr98A1gQfZWzUzq3xq6k0ceNbLT962nPvbDhMKNRIOt9LVdfCSuvtnZd1GwPEmwvSP8KqYCLPZi9WaRjweJBrtNSyNqqoRiwUvqJy8HEgggRWsMLwaBka1yebcJkxYhlo//eMqvFezGgsWPrPcxZePp/DBjbV8+anBbQYJGkXqG2kkTJisrNtwO0ppad9Ba+tTY7Z3Tfa3iNf+jj3sGdcQ4MPHSlayhz2GEQsuz9CSaQmLqmqblwD+qeLESTbZRIhwjnNEiFBAAZ10UkIJTpyc5CRevIQIkUrqpA/LHHIopJBd7JqVWMjZJIkkFrMYgaCZZhppZIAB4sQRCJJSrqG9YyfRaC/1h99AevmjAPT3H+SPWx/me11b6aOdk20/pqvrpXkRvmy2LOLxIJFIJ05nkXF9Ddfy6e8Nnyyrqo2UlO2YzV5stixqau6/rIRHEybWsY6DHJw3l4LRmDBRQQUWLOxj3wjL9Wzxs1Uf4b9fes648eeQQy+9nOAE3UOuQQAVgW8YQoKKymY2c5zjs+ZefqmYqiun/tAPh1sRIorFkowQ0Slr66dKaupNtLXtIBrtpTzwZY5U3T2r25/uWMZzh53IBWsyNgd+xi8+817S3zbSxVsIQaX99RDqGqGPziOPJ3iCZpon3Obw705RNNLSbqGh4dcTLi+EYPf/foXO7z3Jfxyzc7jnj8SIoaKSQALZZOPDx372j5g0aGhc77id50wv0d1zcMrH7MDBSlaym90XdDudiEIKySSTWmrpoWdSgVW3ikoks42uxEpPv9VQIGmaC1W1UZT3YRx4OdHwHRISKniz9zp+fP7bLE+5m1qxn1xlDVlajDLLab7XXUtNzXenPEd1uUqxWtMYGKghGGwkIaGCzs6XFtwk3mJJxmJJBgaV6aFQI3Z7Fqo6GGccjwcnVFBdLkKJhsYylmHBwn72z9l824wZFZUw4Ysy9pgw8dv8f+RTZw5MmASnyFROesw37j36cvleRjPvKWrno69nvbBiHSc9rCJyyTWKWvrwiTLKRICA8OGb93GP7iZMIpVUUUGFWMtasZ71YrO6TWxRrxZfy/iUqKRS7P3hD4UQQrS1/UTUf0kTmwI/FU5nkVBVmzCbvUJVbfN+HA5HnrBa04w0+ZOl9FVVm1gW+Lr4+9I/itsXPSJ+s+aDYnvg92JV4DszrR9zybsbt1jHwkszn0CCuJqrRTLJs7bN1NSbRHHxvUJVbaJ58zqRR57IIUfkZt8hvN7x0/4P/x5VVLGFLbM6poXSFUUb8Rs0m73CYkkWZrN3VrY/2W97rn73mwI/HfH62ys+N+J1/cMXV+9veE9Lu0VUBL4hVgW+I1o+YjNKYNxX8U2x3naTuCrz88LhyDNKoqxjncghZ1r7uK3sDxdcpjTwWaFpLvHi+jeJmmdrxI7P7hDbzW8Um9gklrBkwhrBVmuaKNfWTLu8TD750z6Os5vG1mS0YxfrWCeKmFrZEdlln0n3+68XhYUfFXcu/oVRs3RF4H5hNnvFxsCPhcORJxyOPGGzZYmNgR8LQNwceEYkJ28XMDg/WB74ltgc+JmxTVW1ibWBH4gHV35KrAjcLwoK7hL3VXxTrA38QKwJPGiU37ncutWaNmYek5S0VSQlbRUuV6lwOouEy1UqfL51xrxpqtteiPOjXHInnHNErysQLR+xiYZPqpd0TElJW4XNlmWcWwcOkUWWWMxisZ71E45X01zC779epKffKh5594dGlCFbiOd+mn36Ky0E4eJiuh37iJqNKqrIJltsYIPYwhZRTLEop1xcxVWiggrhx2/UV8snf97HP1lXFE0UFd0j6j+vivon04QQQjz2tuvE6RfvuOQ1sFo+MrvXidnsFV7vKuOhcn3gcVH/K58QQojKwM/FisD94rE1d4obA09NWjx6ofT1rL9gDZ/56HpNUzv2Wd3uY2vuFIWFHxV/WfsuAYOThW+s+K8pj2kb2xbk+brYPrxG63ivR/f6b45Vck2np6ffOu778/EwKwvcd1Hr373kIQGDNRdvDjwjev/BL3aue7vwmwvG1B9cp1aKW7lVVFJp1Me8hmsuuI+HV/37lMai1xq8ULdiFYtZLF7H64Qdu1BQxHa2T6u+6VrWGsrO9vZfTWmdNNLERjaKa7hmxO9oOctn/Luy2bIu+TUj++XTrdY0cWPgKZGcvF1UBL5hvP+Jpd8TFsvIyfa6wP+KQODTxuuJ7g25uXeK4uJ7xYrA/aKw8KPCak0zJumBwKeFprnER5b8UESvK7js5qoOR55ITb1JVAS+YQgsDkeeSEraKhITNwmXq1QoiiZcrlLhdpcbQvZ09qGqNuF2l8/7sXrwiK1sFaWUTnrva948/0r1a7lWFFAgkkgSZswTLldY+FGxNPBVoao2UUyxqKRSbGHLgpcbptgn/lD/MV8BEvHgcaCIVawSG9loFM2EwQdvMcXCgkUAwotXbGCD8bkbt1jP+hEP6PG61ZomkpO3z+sNKnzzoLZ5ON3nu8Uz//mMiIai8/4dzEa3WJJFWeA+EbkhX9wYeEq8tfTPouETJlH/RKoQQoi+vgPigZWfEZ9e9m1RVHTPmIfSQulWrOJqrhallIq1rDVuLBVUiDTS5qSI9lS7A4fYytZZ3Wb9/yWIlpbvi/oDV4nI6/JE/S+84qrAb8U/L/qNWB741gXXN2MW29kunDjn/bubrz7w5swpX8/6fXu4kmj4vXy27+vDtf6XuiclbRWVgZ+LtYEfiOsCfxI3JN0tXIwUuu3YhcbIY57ta3yi7sMnSigRy1gmruZq4ccvKqk0njlZZIllLJvy9rawZVr7r6BCLGGJsGIVZsziKq4SqaQKBw6xjbEWx6n28JZFQgxmT5P9Mu6lgc/O+nOysPCjAl6dR472lpjO/vR1VwW+I95R9jvx3sX/T6Sl3SIAkZy8XdwceEZsCPxIJCVtNYQhr3eVSEzcdNkoNFyuUuFw5E1YLN1iSZ7SPXv0/NPjqRCAcLvLhdWaJjyeinmdo5owiRWsEBvYMOl8+lL3ic7tYhaLZSyb8fPSgkWsZe243818d92bb4rW6fkf8JyfEKxiGcvENraJVFIFDE6GF7NYbGWrWMSiMeusZ71Yz3qxjW1iNavHTDxGd1W1CU1zCZerdF6Fk+Tk7WJt4AfC51snAoFPGwJj05Em8ftV14uTO/48q/tbFvj6lJYb/aCYimvXRF1RNOF0Fgm3u1yoqk04HHliW+DXorHxK8bxDmxZIu5e8pC4e8lD4hNLvyfc7nKxOvDdeb8WR3cfPpFCyoibZgIJooQSsYlNYgtbxBKWCBuX/iazmc2zvs2vL/+SEEKI+pPvEvV714j6vWtE5HV5oreywnioje4bAj8y/k8jTaxgxayPS39QrwjcL0oDn5102ZycO+b9uplqH/5wWmgPqovpuisbDE50i4ruEac2bRcuV6kAxLXqTRfcRj75ooyyCc/ZbAm/PnxiK1uFH79IIEEoKMKHT6xn/YjlVrPaeD5N1pNJFitZOeX9p5I6ZnkTJlFBhVjJSpFH3rx/n7Jfmr4h8CNR/8Cgx8jiwBfnbD9XBX4rAFEe+LLYGPixWBb4ujHZ1j0ndNfw4f36wOPjbq+rcqUoKrpH+P3XC4cjz/idX6ldP0cTCY4TraMomrDZsoTXu8rYhn4/062RLlfprIU5TLdnkSW2s12kkDLtdR9ada+4e8lD4t/KfyI63pMg6n84e+EM43UVVWxj20XfHxNIEEtZKjTNtSCfwR7PxHOvUf3id3Yht6n56iqqWM1qsYlNhn+xCZPYwhaxlrUTxpHo3YFjWq5B+rmwWJLn7ZysCNwvbgj8RSQnbxf1TwxOPDYHfiaEECIWiYmDPz4oni98/eydY9VmxBVM1G22LOF0Fon6P0z/BjGdbrNliaqN14qHVt0rGjZvFGc3bRP1P/GIDYEfCUXRxCeXPiCaP2aZ12tyJj2FFLGe9WIjGy+Z0Ki7xs2FdbOg4K5BgfGJVFF/4p3i/63+iLhz8S9GuA5XBn4urg08NuZBeQM3zIp7rKa5hNtdLjIy3iaKiu4RFYFviIKCuyZ00Rzdp+v6M9d9vIdQy0dsl+ThdLHu7RNpNW8tfUKUBj474WSp/pEkURH4hlgW+LoQQoitgV+KjIy3CUAUUywqqJhwn7nkjhszrO/r1tInxIfKHxZfqvjaRZ+fTWwa47qkoIi1rBXbefXeqaKKq7nasDYOX1a3iCoo4mquHmMhnayXU74g4+1lv3TdbPaKpKStov5vBaK3suKS7vuXq+8a9zf8ppInDdftgoK7xEeW/HCEEmh4f2DlZ8TqwHfF15d/SZQF7hPLA9+6bCyG89FHzz8VRTOslqOXnUwgtViShctVKlTVdlGeKE6copJKUU75lObU4xkT3lH2O3FD4C/ixsBTonnzOrEs8HVxdeBR4/MLzUMvdL5GP9OzyRaFFI45V7pQPtXzkU66KKZ43q+JyXpOzh2GpX6SPvGH+uTNYkkWHk+FsFrTxvg6666X0zBlzlnX0EQ++aKccrGa1eIarhmhwfDiNTS8c7F/qzVtWpOzoqJ7RGHhR0VBwV3C51snygNfFncveUhUBn4+7vIVgW+I2xc9MuXtLwt8XdQ/mSY+VP6wEEKI6HUFov5ht1iurBbHP3lhDfZsd0XRRG9lhXjv4v8nbil5es724/WuEqsC3xHvL/8/8dCqe4XYFjCEgX9e9Bvxl7XvEu8v/795u05n2l24xDa2iRWsEJlkTuo7P1mfihZpOcunnXRjur2o6B5R/xOP2BT4qSgouMu4AeuB5ePdTzLJFFvYMiVr/8X26TwQprq9+b6GxusTJRmaqE81Nm9415P2DL8/6vGGw7umucTiwBfF4sAXDRdyXQB8U8mToixwn6gM/Fz8W/lPROSGfNGweaN4dt0/iv9Z8flBBUTdvcLpLBIeT4X4+6SvGJaK4fv14xd/z9+LxSwWGWQIGJyIDB9HWtots/Y8G89CHyAgruM6UUqpSCNNLGOZ2MIWcS3XjrF26oqiSirFVraKLEZOki+kuHhr2oNXZKzvldpn2+rz4MpPCRi0JJ7a9OqEeq7na4qiiVWB74gbA0+J8sCXR+zP51sn3lH2O3H3kofEh8ofFjcE/jLp/VHTXGJp4KuG59CqwHfEJ5Z+T7hcpWOsjLrH0Xx/j7NxHcyFBVD3grPZsi54nvTvxGz2itTUmwyh0+m8cEIsRdGE2eQW5ZSLSiqFA8esHcO6wP+KawOPiasDj87ZdbyZzWOUcrr3YGrqTYYspM8TFgW+MGLZDWwQm9ksKqm8LO6/SUlbL7TMxB9mZd0mLJZk46LSNJeRkWlEtkLVNq9uASZMYjGLxTa2iVxyRRJJIp98Iw5MdyddznLhZu5M1x5PxYQZuPSbWmLiJlFY+FFRGfi5OLThDSJ8c46of9gt6h92CyGE6Op6UjRvXie+VPE1kZy83TBdXx94XPxmzQdnNK4PlT8s6us/NziZ2pElPlH6HbGe9UJl7jNM9bwzWeTm3jnivbLAfeKfF/3GuPHXP5M+JxPp4TeR4RPVTYGfiuh1BaKv74BITb2wu9pC627copBC47ouoWRalobJuhOn2MIWESAw6+MePSGHwUQH9buXicLCjxrWvmsDj4m6TZUXPAfrWCdWs3rWjn0qXVG0GU1ELJbkBRs7O9mxwqDG9mIyC5YHviz+rfwnwuksEnl57xde7yqxPPAt8ell3x6zbGHhR8WGwI9GJLoY3q3WNFH/eVXcHHhGnNq0XTR8UhVCCPHL1XeNiNOufzZX/HfGJ8U9qd8Udyd/U2wr+rmoCHxDLA98S5gUu3DjFkkkiQeyPy6eX/ZmY/tzYa3YyMYR12gRRWI5ywUMCoJLWGJMJpazXNzETcKESVixikIKRTmvTkpGX1NWa9oFk3llkTVGQz6bvaDgrnm/Vq+Erqo2kZZ2y6wKOprmEmaz15jkXqpjsVrTRvweP1T+8KTLz+bYFqpSbvT5udD3tlDPgaa5RGLipkmPQVE0kUKK2M72Mcqti+nZ2beL0sBnRWLiJsOjZS6S9Whok4bhWK1pIifnDrEm8KAoKLhrjMLOj39aMeiXQ59ynUVF0QBG1AYZXStEUTTMZi8WS/KIWnlzgYpKFllkk42GRjWDtbnyyENDo4kmznGOfvqxYJmTunGjSU+/ld7e40ZxVJ9vHYGUO7DjoZUa+qP15GqbaOQ4eazhOtc+/u6TXwWLSvqNI2t+Nby4lvv+6UO81f0niv/PBacfwf7bfpY+9iZqa3805TFZrWm8teB7qEqcZ/qeoLb2R6Sm3oS9YT855NJPHwc4MG4B04vF77+epqY/A9B4r0b652Njrpmions4deqrCBE16gYBmEw2hIiiaV4AgsG6WR2bomjE44PH7HaXzfn1OlcoKGSQQQEF434eI0Y77Rxn8uNz46aQQty42cc++umfi+FStfFarqkrMOpp1Z94J+x9hIYHtlP8+AfweLZx+6JHeKbvCc6e/S5e7yo6O1+acHvJJLOMZXTRRQcddA61GLE5Gb/O8PqfJQX38krVPXO6v4m4OvAoT1fdMmHh9ZmiKBpOZxH9/TUIESUxcROKoo0pTOxw5I1b48tiSSYcbiU19SbjeZCScj3nzv1gVn7Lfv/1eDwVNDc/Tjjcyk0p3yQx2ocmotidUTI9HWxP+BWxrb00PrScX7veRFs8EYB20UJ9/CDV1V9EQeEqrmIXuxhgwBj3bJJKKjnk8CIvArCGNVRRRSedJJFEBRUc4QjttLOFLZzjHMkkEyVKP/0cYWyxbUXRyM29k5qa+8fdp9NZRKr/JqJtB/miv5z7q/ezi12zelzDme3rTzI7BAKfxoHXqFt7Kbkh8BdC9NJDM320Y8XFoeq7cTqLWJ5+L89VvW1a21NVG6mpN9HS8vhlVVd5PMars6c/Uy6mBt/w+5dem1GI6Kz/NhVFIyfnDuM5Dq/eA7yOUsr6fYQJc5CDs/4s1s9PaupNKIpGY+Ojs1630IuXPPI4yMEJl1HVwTlqbu6dvLL+V9x7+Mv895F3ArCOdZzkJG20zdqYFgJTliwdjrwxWi+HI29E1tS5jtWzYRPLWS62sU2UUSayyDJel1AyJt7jUnZF0QwNvNnsFTZblsjLe7+4fdEjYuDNmaLjXz3i7KZt4r6Kb4pFgS+Ip9fdLur/yyTqz/ybqN8ZGIzh2hkQ9Y8kifr/MoneyorBZb5mFrvXv3XGCRdWBO4XmwM/M5LRaJpLpKXdIh5c+SmRpGWLa7hm1sskjO6662PD5o3jfq6qg/FVQghxQ+AvwuOpmHMN4bGNNwghxGVpXZxq19AmzHaYRJJYy1qxla1iBStEEknT3v5UspgO7xkZbxNCCLEm8ODg9fAJ06vWoP8cLOvwpYqviays20Ri4iaRm3vnlNxBHThEJpliMYvFJjaJSirnNE5LT2TlcOSJ5OTtC9q6MpGVbqKuqjaRkfE2oWkukZ5+6wgNclHRPaK4+N4J1x1t5doW+PWUY0kms6gMf658etm3RW7unUJsCxixMItZLDx4xKaCB8Qfi94pnlp6g+hp6BH9bf3i1xnvEm9P+6HYmHmv8CopQtNcIjv7dsO91YlTXMVVc2qh3sQm49nkxClWs9r4zIRJLGWpeB2vm5K70ptKnhRvKfmz2JL9JXGt931GDH4RRUY80IbUD4mtbF0QmZUvVa//v4SR1uVd5aL+h4MeO42NXxH9/YdF/S+8g5+9NGiZuNTlpGajj/f7G2/epd8z9et8rrrFkiwqAz8Xf177LyJ2TaGIXVMotgd+L1JTbxKqahNJSVsNzwohBstcTWTBt1rTxPLAt4zQpuGxcjZblnC7y6/IWMWLcTfV151tz5ULzeXHeyZnkin+nr8XS1giUki5qMzl9TuyRH31u0X9fw/eN0sDnxU+3zqjVIo+j52L70NBmXLG6ezs20XD5o3G79KNW1RQIW7m5mmdO70vtHwIr56TwX+mzGgLoy7Rf3LpA3zp+CfJyrqN1tYddHcfnM5mp8xa1pJOOu20EyZMBx000UQnnXOyv+lgtaYRDrciRBRF0Sgquge74iVGlBJlJfd/+A1w7b9A3R8gPID5sU6ijjDiKj/Yk0hffxiAyNbFfLD1PwkKC6ttR1htPcTbmrI4c+b+GWtPbi19gmjcxCrHKzzfX8YSay2fXPFxvnbwM/y1voqqll/QSOOUtzdTTU5Ozh00Nj4669r7mbA88C0OVd9NTs4dhoZe01yXvdZyOBYsrGQlu9k95rNssimllOd4jhChaW337iUPscp2mDytjptPB2lqemzK6x7beAOlO//EG0v/yiPHr+KOxb/loaNv5ubAM9RxmDtcXXzg4OcxmWyEKpOxPNuI1ZpGX1/1lPdhxcpmNvMMz8yJldHtLsftLicYrCMxcRPV1V8cuX9rGvVrc0h6bu+s73suSEraSmrStfSFzpFkLceExrmuxwiFGklM3ESaVkGEIDY8nOr9PfX1P590e4qi0X2bD0u3Devvai+4/+Tk7XR2vkAsFjTuK6pqw2z2Upp7N3+97pOECiLYqi3c9uSjHOz6NqlNNThxsp/99NNPQcFd5Ggb6KKRaO8JVg4U84znOE31v6U47R/oqv0NmUou5sQlPNv67aFxKgCkkEKAAGbMPMuziOk9Fi/IUpZynvO00YaCwhrWYMNGmDAv8AIAGWRQTDG99FJN9ZhnmgsXOeSQQgpx4jTSyHnO008/NmwUUYQfPxEiqKg8y7OzegwLjZ53JtOzqJOtD91LKNRITc0DY5ZpeDyVhs9tIv3v/8TJ/8/edcdHUebvZzazJbubzSZZspuwSZaUIY30RnqjKZ4c4iEeepyix53ciafn4Yn+ULErYu/17OXsir13UFEUDEgTN6EHkpCe5/fHOmM22SSbZFPAfPk8H7JT3nln5p33/fbvIycicfLTuPOdq5CpXY/MFzMwbtwiAL+Og9FOcXHLsG3bLYqlKEm6Ct9VLUVk5ELs2HHPsPVDpdLh5rQLka1dh+yPnwIAtP4uCjhkROzWfLe+iKIRhdH3IVXTjH+v/gGmk1/C0v3/wq3f/ckjDxEdvQSiaIYFDqyvWYXGxm0Dsozt3n07MjM/65cn1hi5LJJarU155v3xBNFCiyAEQffLPxts2IRN+Bk/K8cYfvnXghY0otEj7xGOcGigwTZsg1ZrQ3NzDSIiFuCnnx5Q+GybbRY6Opqwb9+7UKl0g+Ypu8o2xSjGB/jAq7VAo7YgtXUCDDCgDnXYgR3Yi71enSvzEYGBWdi7980evXWGkvR6B1pba3v9zvolLMpmV+DXB2qzzcKuXS/Bz8/lQujv70Bj4za0tzchIe5SbN62clQIBkNJKpUOybErMF0bhFjNdmxvHY/treG4ZsWfEDZ7H6pXqAApEMj5E6yRV2HXN8cC734I6EVgdyMQrIN6MwAV8c77i7CmaRJeb65DG1qw5+D70OnsOHDg00EJ4BPsZyBnN1DTUgVRHQS7fybuSHkczzQdiyUbViOxwYw6sQNft33k1QCPilrk5oLgLS1PvRUqdGCcuB9/Xft/A7mVfpPs3tGZLky5E1d8exbINixKegIvH3oVP//8ONrbG48YxsEbEiFiMibjA3zgcf+NySvw7Po38S7e7Xfbn0+eg7zPXsLOi5oQfkn/znX+H3DuEy/j9T3X4jjr2Xhy2zmQ7Et86i5lhx1GGPt0wR0IhYXNQV3degiCqLidH4nkcCyGURMJKyQcQg2MsKAa36P20JfIDzwLz2ysxAWp9+CjJgNSNcSLdR8gUBuLb6rOU9pYlXEllnx5gVu7zssEhC3rQPUXuQjP6VtgFgQRoaHTUVPzImpqrsK8khg8+tf5MJ7+GurfORFhv9uDtpkTkL7pb9DW/ojxDSp82vAMduNX9/3Q0Ok4xToXN37/d0zTnoQt4wLwY/V/ERm5EOcG+uOsr66E0RiP9++4Bg8v/RHXbncJCtWrrQif4WonAhEwwOCTMdNZoSYLox/hI7djspAFAwzoQAd2Yzc2YzMMMCAGMQhCEL7Dd7DAglCEKkzIHuzxuTB7JFNY2BxUVz+NBGkFpmsisPStQwgNXazsr344EBWXnY+7g7/HpftPxutVMwEAwcGF2L//w2Htq8VSiX373h2QolWns+Nf0oW47Ju/Ktu0WhtCQ6eDbMPOnQ8PqE+iaER4+EkI1WWgHnuxseriXo/XaCwIDZ2OPXveRGtrLSyWUsSaT0JN29dobNyJgwfXdGN2BUHEnRn/wYbmGGxoseKtrSd5ZExlt/4QOFCLnfhpz9Ooq1vfLwVuX6ELY9Q7qVQ6+PnpfOK6KkBAKUqxG7uxC7tggAETMAE1qIEGGgQiELWoxbf41u28Y3EsBAh4Da8pIVKiaIReH4uOjia0tOyFwRCrKBdbW2vR1lY7aEW/RmOB0RiP/fs/RBKSsAu7sBd9yy/jMA5WWD2GDPRGsiCs09m7CeXyPk8UElKKffve7de1Bkv9tix6QyqVDvMnPoGzgx7E3N1SN6370UbnT7oXG5pdMWPFhjX4S9qVaLjiXzD9cxUO/DQRqptFWJIewb59D8BgyIPBkIVdW84Gat4FNu5C2MJ6HD78NToWTcVj3/8Vz9UV4zD2ox57UaQxYHtrOPbzAGqwERurLh6QVc9sTEFeeypWN/4Xt2degre2CciwG9FIf1y/+WocPrwN4zEeCUjAJ/gEDWjw2E5/B6kgiDAa4xWGuj99ry4qQMHP2diyZVW/rie3L4pGAMCU6P/h7e2nun14sgA5U3obL1WVAwCuTrse1+58Fd9c/xnC/1Tn1fVstlmoqXnO6/6NBJWgBO/j/R4ZzDzkYR3WoRGNg7pOS0kiXm8sxszP+1YivJ57GqZ+dh+io5egsXEnmpp24sABl4XFl3FjmciEAQa0ohWf43OfWRllzWtHRxO0Whs6OpoGtbjKDO9wUrx0KY7VRuDcm/6D0/5yP+qxF187VyAu/G/whwm1cEKAClZICFYZsL7jM2ysuhjJ0jVYX3V+t/acr1kRPm0X3spbgPJP7vda6RIaOh3f/fE9iIc1MN9Ri5yJd6IB+/EH/0A82rgHDmThqaJT8MTXf8eqOh2CdnyGPXoBtWITDh782u27jok5D1u33IKpmtl4reVJkG1Ijbse5sYG7Nr3FtRGBw7v+RgG0YKfAohtk1phem8N/pz0HB74/vcAgHKU4328jzb0b47VQYfxGA8RIjTQIBShaEELjDDiMA7jU3zaLwu+CBFJSEINarALu/rVlzFyUa50D1ZX/BMhd7bAYIgdUcVOQEAyAAyoD3q9A5+kpeKCvX/HK1WVyvawsDkQRSNaWvZ28+5Qq81Qq83Qam3KHNuVRNGIqdHPoQWHEaJS45nNJ3rFcJtMaTh06GtF4K6QnsPP+Aabt1wDi6USDQ2bERk2HwYEY3fLN/Dz02HLllW/5Apo6rN9tdoMPz8j1Goz6us3+jQebbTS0Rr3K0BAMIJhgw0EsQEb3HgRBxyIQhQ+wSdoQYuSh6AJTdiDPahClVt7M6TX8WrVVOj1Duj1sWhurkF7ez20Whva25sG7dUo83RBCEIEIvANvunznCxkYSM2oh4DF1aDgvKU71QQRAQF5Q27MqsvGhL/1gRphdc+ukc6nsxewnuzlrniC9fNoPPZELa3N/4aO/FVOXcWFvPKtBv4WPa5bJhn5a0Zl9F5tciOjlaS5KqMK1kpvcCwsDlMlq7hDOl1PpPzD54/6V7Gxi5lUFCeUu9moHGhsYjlcaa/0wADC1DA46R3uh1jhZUTMdHj+XJMUedadKOxxmbn2KcK6TkGBCTzmZx/dCtCLMdiyceHhk7ntenXHnUFf2MRywmY0ON+K6xM17piaQebia/1WAfbp/SdeVEQRD6T8w8GBCT3ODeIopGPZZ+rpOseTB0lCywe6+oNBsHBhUosbnBwIQ2GWEZFLWJc3DKGhJQyKmpRtzIlomhkqrRSiW0ebCa30xOfGdB58dKldN6p50Upt3Oq9BKnS6s5U3qbGdItXJ56KxcnP8Lp0mquSLuRgOs7io1dyrnxr/bY5qKkJ5Q5T44Ddt6pV7btPVv/a43Nd+18L+8UXpl2A3ftupnOjfP5Us4its6YwPX5M5kqrWSWdBudT5g5P+FFZki30GiM58r0q1kW+yjL/WZ0G09qtVlJ6X6M7hQCrvgP55dOzrBcwDTziawMv5zJSKbBL6THcTcO49xiCnsdxxA4CZNYilLmIY922GmFlTbYlPjB30K84GiFSqWjJC0fcCbx0QKSrD3D3G17cHAhAwKSPc6NqzKupMEQyzzpvm77iqRHmSCt4BmJT/GilNvZXhrPYulxxsSc12Mf4uKWcXnqrZwpvc3o6CW02WZREEQ6HIt5e+Yl3b6nwa4lWq2NJlPaEZdFeiAYihIZA8VIlB0JQAArUckEJHAyJlMNNQUILEVpn+eaTGm02WYxUbqCidIVjI5e4rN76CluUQUVgxDEaEQzAxmcgik+GwNHTcxiVwoKykN7u8ss7ElzJQgiJkxYjG3b7vBKo3QkUqq0EvXtTmyOfAHVq2KAjmaETnoGfn5m5Zi3J/8ZP7ZG4gzT46i+dyrwwYOwPhyK2vga3Pz+NXilUY3Pq85Ujo+NXYr3738S688rxcJqFX766QGfaNdMggX5zAJBvI+P0CQ0ubXrBz9MwRR8hs9wAAd6bUsUjUosmaxpHAzFxS3Dpk0rum23Wmdi9+7ViIhYgOrqp/vUvmk0Fhw8XoPF392Me76bDQA4M+lpnBjwKh469Hs8vmmem/b0+ZyzsGDTWsWa9VVaNCZ+/DbINhRJj+KJW/+J8Cnex3OONpIzPn6ADzxmBRYgoAQliEn8Ox6s+tOgXTmCgvLwWaIJ0kev93qcTmdHSuTF2Fn/NmpqnkNMzHke33+KdB2+qTrPoztxf6gYxXgf7w/4/K6kUukgikbFJbulZS/UajNyJ9yC7/feobhixUb+A/vrv0SwMQNJqklY1/EFROg8WueGklQqHcLD58Chn45ktRrftjbDBBtMqnb4q5pwZ9w/MG3D9XCIalxx418RVlmNZal3YWn6hTA9VNst07XDsRh6TTiWBDRhzhuT4H/GEhwo3APTGjNO/OJhvPLDFHR01EOlMnbry89FJWiGBv636YBDVQDbgJ37gYhQBN3QgGe2/xEfN6ajmRpImm3Y3hqOQx1GmFT1+Ki1GrF79uOtpsdR2+iKY+0cayzHHv5s9oefnxGZ6jLsaduGb2uf8npsT8REWGEFADSjGV/gC3Sgo9txSUjCYRzGVmwd0DsZozHqi0ji5dy/4pLaNHxRtUjZrtPZ0dZWC5MpDRqNxc3DRaOxICgoD7t2veTRna2qYCr+tmcxJut+xvNNDdBAjzVVf+uxD1brTBiN8aiv34jdu1e78QwBAclDYrHtnB29p3k/KChP8UgZoyObAhGIfORjDdZgD/YAcOUo+QbfoE2txSNpC/CHL1Z5PDcyciEEQYRea0d942Y0Nu5Ebe2nA+JliqXHlUy9RSjCx/i4m0dSAQpwCIeUDOwDsSgGBeWhtnYNNBpLj55JvY3vdOkm/Fhz35Dlh+lKgxYWVSodxo8/Cfv2vTvsQZmjhR7MugBm1SGUTnoUDQuCEDp5rZugCADVG0+G8OgTePGVZSjSfYFz9pyN7xofH5Hg63EYhzzkQYSIN/EO6rokUghAAKIRjWAEYxd24Xt877bf12mK+0NNv7fjTxvuxhMbZyjbIiIWoLFxp1taf0EQccLEl/HUhqkAgDfyTsfLDWX4oOUgWnAY++o+x65dL6Gjowm3ZlyG3//lSpx7w1N4/Ifj0VYZhf0pPyP9iTnYufNh7CvOQeTa/f1KsDLaKBCBSEKSx/T5sjD5Ft7qvq+f79pszsLBg1+jrigZhve+woQJf+8xvT/gYng6OprQ1lavMAQqlQ7TYl/A6k3HIDJyIcg2NDfXYKH1OFz+zV8GHGvka2ERcD2fgIBktLXVItn+HzThEPxhhh5m7MZmEB0gOrB1xx0YN64S/v4OpKgm4+mN0wZ97Xjp0j7ji2QKC5sDvd4Bf79Q6GFGjGo8fu6oQ5gqEFs7fkKMajxedl6Ilpa9iIlcDDV0CIIdxxl+xPnfXua26Op0dtjt8/GD/TnsOmEbMGUOwib+F9Vb/oaA5U+j7tKTofK3w2o9z2NfqldbgegZCJMe6L5vw1ygtQ546TWUP7gcpeqJWN/aig604Yd9D8AWMh2BDQdhbbOiNTAF9diLd6v+AMA1jqOEWNgYghpHFvz8dJjhn447vzsTxwgz8EHH29iP/cq1ZOa3L+rJjdsf/shBzlGfSOZIIb3egYaGrTgv5QFc/+2fle1HetIyrdYGAIrbO+ByWRw/fj5qaz9Fff1GBAcXYvfu1QBcrtgqla5HxastsBwPWd7DuKezEBa2DMtS78I1G/7dqxLWaIyHRmMZdW5xGo0Fer0DomjuVtZnjI4sMsCASlTiHbyDQzgEAEhGMn7GzziAA0iVVmJd1T+9aiskpBRk26DHawxi0IIW/IRfk7QJEFCM4gHP+3LYip+fEe3t9cp3Jyt/Os9VFksl1GozBEGETmdTQrLM5iy0tzchKCgPcbqZeKtqVrdr9BTvOFAakphFry48ggKHL2mG9DpuHHcdIsLXo03XirpFFoTl/ypc1Z8airr4fQj5fDz2LWnD/gsz8c+9i/B17S3K5D4SpIMO8YhHzS//PJH8UXwkru1xsTUYYoddiHow6wL8ac2VAFyLWEL4EqzZ5Epo0DUmQqOxoNTxANrQgt3YjPVV50MQREyKuwr7D3+NQH0yrJCwuekV7N37Ju5K/AMixGr4C42oao3G/DXXIDJyIbZGfwi/dz0zlkdKrIEECeMwDmuwxi12KhrRECDgR/zodrzBEItNS390JSp5YRx2XlWKnE+eRnj4Sd2yYXa2LJPEpsJpSPzsY+w/RQP93T9CFIN67Jcr1qBeGWNynE1Dw+Zfam3+yuwNZBLUQYcUpKANbfgSX/br3M4kCCL8/HQQBNFtgpfnMX9/O8aNm47q6qchhS/G5pp7MN42B0QHDtV/r4xLozEeO3bcMyyJv+QsibGxS6FXWaCCCC2MaMFhNKMeOpiggxG72tfD4GdTEtdoNBbEOJZgQ9UyAC6GW77vDOkWnBGwD7OOuQTb3jwReR8/jkOH3kTzimNx82s34p8F/4b5toMAgJqaq2CzeV+D8uCZQdDtNeKqLRegps2CJmpwxfMvwnrGxzB90QZVwy4UoABbJiTjhy3X4oKUu/HdQQP27rgFWmixR3UQP4o12HdCBzZuL8DpH2+BGWbUoAZbsKXf9XYTkAAzzB6zCRegAN/gG9TBu/jmMRp6slgqUV+/0ed1eUeaPPFLNtssJengoUNfo6FhM8zmLOwq2dVrBuKIiAVYbrXjtC8uQ/WWv6F4WmCfeSUiIxcqcZFHA982RqOPMpGpzLVynedUpGIbtuEgDo5In7TQIgMZbvP/BEyADjpswAafX0+l0sHf346Ghs0IDZ2OSPPvsKbqb4iMXAi12oza2jVob69XEjjpdHa0tOwdNq9Nn/q1yvXyRmMsm69RJD3KPef4c/e/NNx7tp7Oy1V0XiK41XpqPdbBBYnPsqMilivSbmRc3DIeI7054n33BmqoFZ/x4YwbkONdQ0JKPe6XY9hkv3SLpVIZb/I2UTQyTVqlnCPX6+vqy951nHq6z8YTw7m90HOtwiMNJphYhjLGwBVXGIIQVqJSia/qinMn3U/nO2E88JdAHizOdHtOV6bd4DG+U6bDh7+lw7GYdvv8PvulUumU2poyQkOnD+peAxHIbGRzKqayBCUsQxnHY/yA25PnNgBKfTajMZ4BAckURSP1egeNxnhK0nJqtTYlBqFznUKdzj5sMSEREQsYE3MeQ0On0+FYzFRpJZOla2g0xjNJuqrPOVqucSYIIg2GWMbEnMf2KTF0fjebOwuLee6k+7kq40pemnozP8w7mWXS02z6vZ39oaamTb/Gdl+rZpZ0G7OlO5Rtu4vyXPteHsdzJ93PYL8wpiCFkzGZx5nP5VmWuznZ/Cfq4HqmWdJtNBhilVjQMIRxKqYyG9lMRCKjEEUttN69b6h4DI6hGmq37XJdxFSkDvv3O4aeIQgiE6UrRrwfQw2NxsKWkkSGhJSyQnpOmYu0WhudHyX0eq7JlMaGeVaS5JPZSzg/4UVGRi7s85pGYzzN5qwe12RvYTTGH9X5K44mDOd7ikIUU5HKEIQwC1nK9omY6NWaPS/+5SHrWylK6Qc/aqBhPvKZhjSqoOrzvM5rfX+epc02i7GxS5koXcHY2KVMkq6iw7GYNtssms1ZDA2dPqi8GgXSQwRc9VdjY5d6Px5++cOnZDTGo6OjyaNbamTkQp/F3400XZRyO3J161A06Qk0BzegzdQKoUkF24pf76364UBsuHU21jUnYHNLJKLUTrx8eLziE+2JBmJ1HSpLbQpSsA/78DN+9pjed6Sop/uVrVD9tfb5MgPnkUASJEQiEnuxFxuxEU3orpnS6x0AgNsT52HB2mvdnrcgiDh0qhl18QcAkwZb/vt7rKr9EwCgquNbrPvhXOVYPz9/j5qvrlbC4OBC1NauGbCWLBjBcMCBAAQAAOpQhyAE4Zp7rkHZwjLkIAcf4IN+15TsWn9JJp3ODrXajPb2evj7O2AwxKK+fiP27/9QGYf9iefxZLEdKKnVZoSHnwSyTYn1bGraqcQBeZPBV9ZytrTsxXc5OQh3fI0Fa/+LMv3ncLaFYqr+Q/zQOgFnrr0UFdJzeCXh7yjYcAFe+yQIze+eBb/CS9xKGPRG1S+Mw7H/uhgH27bgw/eNOKbcgl11H+IUywxcIl0M3X4Dbjt4Cm6sb8eePatx4MCnyhzQOZY1S7qtW+yVXNdwHMahzl+PLxtf9coaqIYaBSjADuxAIxphgw0mmEAQm7AJ1aj26t6GgkgeVSV+xqhnmiG9jtWbjgHgmoN2F+XB+uEaxMSch+3b70BAQDJqa9cgJfYqWBCNd7ec3KMnUEBAMsg2tLXVo6lpZ79ddAVBRGnc43h300n94jfk9fVo8Sj7LdBwvSsVVChHOd6Ey414Mibje3yPgzgINdSYjMl9ho/MT3gRb+y/s1/1nr0lK6xIQhIECFiDNcNi5bTb50MUzWhrq0VLy14lTEeOcewctjNcNGRuqINNRjHUJBe+HOgHUSQ9ij8Yt+LEaf8H80YbDiQ7QZHQ7TYg6BYXI3KoJAv31v0B9zYQ45GMHfjS6xijkSYRIjKQgVrUIhrROIiDSgp32UXA19Sfd9HbsRnSLXjD9hAi1+5Hc3ONV4uhSqVDXuwd+LhqQX+6fNTSGYlPQS204bbv5nXbd2/WMsy48wMYYpeiYc+zCIu5E18WnICdbWE4fcsP+H3oX/BTWwBe/WEaiiY+gg9++KNHxlZOgS2T7ObZ3/giP/ghHekQIGAjNqIOdUrSHr+ouXhj61/wyrRynPLGuj6TNnlLarUZZBvM5jz4+9sBQHERaW9v8nm8QH/IYql0i9/xNBd7Uo7IjKN8/HRpNe63XgZ1xleg2IFWYxOy7j4Je/e+iVjHPxGJDDyXtBCml10JzlQqHf4c/wguO/EE4JgMBNzyE4Ifb0VLy6/PnJVxOKP6anzZ9jOcB1/Hcns2nqvLhr+gxdvV58JiKcXPPz+OtKgV2NO2Hg0Nm5EYuACzjT/gifoobG98s1t8cm/3aYABecjDRmxUCkNroUUYwvATfoI//BGEIJhhhgkmqKD69XlAxNf4GmlIw07sxC7sUmJpxmiMhppMpjQcPPgV7su+CKevccUfGgyx2Lbt34iKulwp33P48DYEBxciMDAN4/wS8WnVaX223VWZKiuRRjPPNkbDS8MlLPrDH0lIwhq4XCtNMCEWsUrIyGRMxjf4psdybgAwJ/41ZOq+x+37v8OOHff4rG9ymagwhKEGNehPfdvBPr+goDwIgoi2tnqYTC6FkFxWYyTCnoaszmJe7B0o1LbjmcMb8OOP1/n6EoOmrvX/+kv50gN4+qy/wPRMAgDg0BWHgeo9CL0nCLuvckD15Ps45plV6EAbbgn+HDO+++aIKt5tgAE5yMFGbEQoQhGCEBhhhD/8odZY8EPL5/gKX/W7FpkvKFm6Bt9t+o/yIc6e+Aae23QcOjqasCDxWSRpNyPY7yDaqUK4326ctm3biMaHHml0ZdoN+KIxGc9WzVCecYZ0C76s+tVKZLXORFLgaXh+7TgIi05A3Y445G5PwJaEt7E3YwdOeOY+3DPuMVhfPA0pKc93Kxit1zuw+bKfkbY8Df51u6GDDhpoAECZkNvRjsNd/hGEAAE66KCHHiaYEIMYrMM6JYMa4G4RT0EK6lDn84yVBkMswsNdxaX37FmN1tbaUWmdVqvNCAkpRU3Nc9Dp7GhurkFY2BwEGdOw3fkAAJfFQbY8ynVUqy/0A3OCcOtFl+P/oi6H/bNE5TvKlu7AV1vOcxPsk6SrMAE5eODj7Wj54RpMKD+ArbfUIWyhu/CfNPFKNDTvQEdHE+rrN0KtNqOhYbPH2Ge53tSSiLl4odEPa6r+hoCAZDQ2bkNHR5vC3Op0drdkAYArFjcSkdiIjbDDjsM4jDa0IQIR2I7tCEMYGtCgZLQ7iIPdMp4aYUQCEvAFvujzOY9ErcwxOrpIEESo1Wa0tOxFUFAeUsf9E+9W/QGiaIRK5YqXPjXmZtz9/YkA3IU+TwmvPOUUkOOsOyu0RNEIi6USNTXPweFY3GtSstFAsmKx8xzgidRqMwIDs7Bv37tjFs1+0nAJi0EIgh12fItvAbiExQmYgHVYB8DFi6YhDR/ho0FdZyCecSOVj0KjscBgiEV7exNE0agkt5K/2eLoh/B21exh79eQ+PkGBCTz4azzmSCtUGqKdcZIxzQWSY8O+Nx58S/T+VYYnR9Es1J6gfdmLeMM6XU6Hwxg67EOZki30PlRAlOk61gu/Y86nX3U1k7pDUlIYjGKmYxkhiKUgCtexworZ2Imp2AKYxHbY7zbUMBT3KEnmM1ZbPq9nWvzZ/PV3DO8aru/sWRqtfmoib8wm7P4cNb5XJD4bJ8xhmZzFp3PBLvFnjn/D3Re6af8TpauoSCIjIhYwNbWPd3a0OsdtOtSWIEKRiKSVlgZhCAGIYhJSOJUTGUucpmKVCYhiZnIZCEKWYxiFqGIWchiIhLpgKNb/IAJJhaggICrhuQpOIWlKGU5ymmCyWfPTKXSMTR0Oq3WmYyMXMjw8JN8EtvbnziC3qDXO5TaohqNhcHBhZwqvcTTE59hsfQ4Z0pv02KppMOxmCnSdTwj8SkeJ73D3UV5bD4+gs5nQxgvXcqoqEX8sbCSNtsst3uX/xYEUZnP26ZFc19xDnU6O53Oy1xj43q121hJkq5iePhJTJBW0GabRYMhlhqNpdc1YUXajcyT7mN4+EnK/fT1vRaikBWoYA5yGIAAWmBhBCLc5isRYrf5S4BAK6zMQx7LUMYABIz49zmG3w7kmokqlY4J0gqaTGk0m7OU+OGux4ui0a2GcIp0HS9MuZMkWSE91+34uLhl3bZlSbdREETW1r7IDQUzOFN6mzqdnXnSfR75t9GAzvHtvR2nUukYE3OeUoN1DKML4zGesfj13QQhiMlwrz+ciUxa0PPa+mDWBfxk8tw+rzWYWs2eoNPZh+y5mExpSnwhMPIyE4aqYZlpypBuYVjYHKpUulFZXLW/AdvTpdV0Xq9me3sdD/zVxXgWS4+zQHqIzuctrL7Qj0nSVZwpvc1zkh/khSl30mKp7LdQMVqEEBVUDEYwC1DAeMRThKtfZphZgQomI5kVqGAMYoZVaOztmaVI13Fu/KsMCSkd0mK3ZnMWnV+Vj/g7GixmSm+zoyKWh/4czItSbuepCc/3eGzjieFeJS65Mu0GAmD9H0PpfNeV9ESeWLXQMlFIZRGKPBYst8LKaZjGSlQyHeksRCFLUMLxGN/nGBMgsAIVShKTQARSCy1FiJyHeYxCFM0wMxvZjEKUMp4HOt6MxnhqtTbGxJxHi6XS54vRYBAbu5QREQuYKF3BdOkmhoefxDRpFefEv8aoqEUMCsqjxVJJq3Um7fb53Fecw5XpV/MY6U0eLM5kzQW/Frq3Wmd6tVilSNfx1ozLGBu7lDEx59F5icDaM8wkyf1nGUmSERELaLfPp8VS6TUDlyHd4pYoKCxsDgFw9sQ3vGIYO7+zzr8TkMDf4XdMQAKtsDIXuSxFKRORSH/4j/g7HMPRB5ttVq/K485JMWT+pLcxbjZncV3+8VSpdNRqbbw67XqS5NKUu5Vj1Gozo6OX9HhNUTQyPPwkFkoPu22fNfEtOhyLR/yZjWH4MVw8aDayqYde+W2DjRMx0e0YESLL0TOv9bekx5gqrWS+9ECv17JYKhkSUsqoqEUEfk1UJ8ObZE9D8Vw786mdlaCdZSZ5zeuKRUlPDM94+OWPIaHg4EK0ttaiNOxmxGp24PnDXyl1QkaaBEFEWdyT/TblzpBex72PXgoIfgjP/LXOys0Zl+OEUy5B6Go7vqubhL/u/T0WBGzBE3UZ2Ny8GtXVT0MUjV7VopTryI2mYHABAsZjPKIRjQM4gG/xLfTQIxGJMMKIQziEIARhO7ZjK7Z2K2J6NJLs4nIk13dKk1Zhlr8a/0q8FPf98A+c993NiqtDVxcm5wfRCCv80WM71T9fhLDxl+HnohKM/+A9nJSwWqmFGRm5ENu3342EgCmw1reiFa3Yiq1oQhNiEAN/+CvtCBDwLb7FARxAKEKVNNWAK9B8K7b26hKYhjQcxEGPLqdaaBGBCAQiEFWoggUWJCIRH+Ej1HapNeoNySU+1GqzkmSiubkGzc01I1pORa79mGH7D5z4HsGIhBEWtKMFtXCiHS2ob9uJgwe/xu6Mn9BqbMb+4t1AbCCsx2xBff2nmJ3dgG9r78CePW9Co7F4FYOpUulwacrV+N9hPzThEBqad+CTjyzATy8iLO9rVL8XgXX/noGLDqSj5vDHcDqfBtnm1RyXKF2B76v+0237YItyByAAEiRUoxqBCMQ2bEMjGgfc3hiNUW9kMqVBpRLR0LAZra21Ht1E5bkjUboCP1U/qoSvLEp6And8N9ftWJVKh9nS80rd1mOkN/Hp3uV4Jz4Ef9l7PD7f/Dc3V2212qy44mm1NjQ17ew1RlzO7TBGYzRUVIISt5qFWcjCRmxEPepRghIAQCtaYYQRm7CpX+EkKdJ1Sjkob2m01WUdTXLAkGoXoqIW8ZzkB3lrxmW8Ou36YZHcvUV/rABySu4NBTPofCuMOwuLOT/hRWV/vvQA6/5k4Us5i7gi7UaWSU8r6eDlEg7emqxHi1Wxx2eBRJaghBMxkQYYqIKKJSihCSZOxESmIGXE+9gVvnQDNpnSRvx+fAGVSsdy6X9KiYrOKdgfzLqAc+JfU46NilrkZjmsL06j89kQd1fUGzRMkFYwVVpJUTRSrTZTFF3WpEQkMgMZVEPNOMSxDGXMQAaN6FK6BBoWopBpcH/GaqgZiEBqoPF4L1poWYISpSSIt5iO6YxF7ICsSLJLtHyvarWZWq2Nomj02l3aV++xa78iIxfSYIilTmdnePhJzJBuUcpamExp1GgsjI5eQufHyXR+KP36Dn+6gA9mXeDWlrfzligaGRGxgOHhJzFLuo0zpbe5s7CYz+ecxZXpVzNRuoIf5p1MjcbCfOmBbpZKb9KBD+S5ChCYjnQWo7gbspDFGZgxIt/fUCAiYsGI92EMnmG1zqTNNkuxEsrzRdfjNBqLm6XBZEpTyknJkC3ynXkYQRAZG7uU8dKlHq+vVpuZLz1Anc41D1yYcifTpZuG/L4FQezTzXwMI4eR5Df10DMHOW7bSlBCwOWOmoEMAq71PxzhtMLaZ5tp0iqmSNf51MtnpMPIhtJDrh/o/YCuZtqBoFJ6gT8WVvLhrPMZFbWIqdLKkb7pfvkaF0uPc9bEt5RnUV1UwPYp7kzp2vzZbJhnZctxkZyf8KLCfH0yeS4jIhZQEETlfG9evMxwysd7WlRGEiqoGIYwHo/jOQ/zeDyOV/zOy1E+4i6pHvvchckcJR/giMJojGds7FI3d4c0aRWriwro3HwmdTo7V6Td6BIktp5N5516rss/nmcn/5dr82crdfBkMpuzqFabqdPZqVab2dHRwXSkMxWpzEUuS1DSLW6sM8ZjPCtQ0U2I7AvRiGYFKvo17lRQMROZTEISE5HY5/Hy9yiKRmo0Fmo0FqWWkjyWOjNEomikTmdXvuWhFiI71xjVam00mdIYF7eMidIV/GTyXO7efTtXpN3IVGklTaY0OhyLe3Qj7u9186T7+GHeySyVnmR4+EmMly51xXZfr6YkLacgiGybFs1C6eEeF96e3Gz6A08MqazM8nS8HnoGI3hYvrUx/LYRHFzoto6LorHHuaDzN5IiXedVuMx0abVSr7ZzTVi12sxzJ93fLQwoRbpuWO57tCu/f8vojwv/UCAPeRyHcW7bilBEAJyMyWOhAMOAfvAjfR/UX+ahKy5MuZPHSe/w88lz+HruacyT7hvxB9RfyEyIIIhclXGlEq8ow3mZwIOnB7GqYCpbShJ/1dT/8KcBMYcBAcnMk+6jw7GYBkPsqA0yL0UpQxDCWMSyAAXMQQ4nYRJDEDLifTvaEBxcSL3ewbsyL+bi5EcG3Z7dPp/TpFeYI91FwDVpXJt+LT/MO5nnJD9Iq3UmBUHkoT8H0/lUEM+ddL+yuFQXFXBt/mzW1FzLXbtuVqyMzg+i6XwkkH9Leowd7R3MQx7TkMYpmMpABPbaH3/491vgk1GCEk7CJK+PFyAo8ZIChF7jIfqCKBp7FICCgvIUrfpQLMoGQ6yb0kNWSul0dl6bfi0/nzyHznuNbGzcQJI8O/m/TJSuYIp0HZubt3otKBZLj7v9luc0ktRoLHTeoKHTeRkPnh7Ecul/LJAeYpJ0FUulJwm44if/lvTYr3GrWtuwKmumYRonYuJYspoxDDtk3sFszmJQUB71eocSt+vp+M78QmjodHZ0tPbrelqtjcXS44plRRBEnpH4FMukp0f8WYxh9GEkhEUBAvOQRwcc3fbJQmJPCr6RwlAmszlCMPQXSZGu4zM5/2D7lBhWFxXwwawLeO6k+0f6xgeE6OglHl195KDy/fufovODaIXxajkuksnSNf26hkZjodmcRZMpjbGxS3lG4lOjVlg0w8xMZCq/M5DBSZhECdKI9+1oRFzcMloslVyacjf/lvTYgNsJC5tDgyFWcVWslF6g88e/svn4CGXxeDX3DNrt813ui2USn8xeQgDc93eDm+upp/Y10HCGbj6vsl/OCtX0Ht1Hu6IUpQO6nwIUsAhFPaIEJcxABkMQQgMMrEAFj8NximCaghQl468v0NnaOBSLTEBAssc5Qa93MC5uGbVaGyMjF9JojOfVadczImIBZ0ivc9/fDQwOLqTzk1SPgqLJlMZZE99iQEByt/sB4JZ1kaQytx0jvUmSbGs7wJszLudU6SW3+y6VnmRjySS2TYt2Y4aHyzXND34MQxgzkMESlDAb2YNKbjTaMebyN7ogCCKt1pn9SvSnUulcc+yroW5Jb3pqv/M321symzGMQcZwhkso14TAAhQwAhEe9+chTwkrGTM6eMZwv7NfMPQXSZSuYLZ0B69Ou56fTJ7LB7MuGNHYiqHwP+5MLSWJ3FecQ5KsKpja77Z0Ojs1GguNxnglBmiEBodXKEOZwnSLEHkCTmA4wke8X0crBEHkMdKbzJJuG5BfvizIiKKRt2ZcpoxbSVpOADw14XnWXCDysexzOS/+ZR6ea+NbeQsUFyqZWmdMYLp0k8IImUxptNvn0wwzj8WxLEABK0yn84HMC7zu22RMphZa6qH3mCm1MwwweN2uFlpOwzSWo5xlKKM//N0E0xKUUA21V89+ICnYe2PeB/JtWyyV3QQ6wJVp8a28BWyYZ2V09BKS5PLUW+m8U6+8t6Upd7P2DDOdDwa4zVvOl8dxcfIjdF6rpvNelytrinQdj5HeZKJ0BaOjl7BYelxhYgFwbvyrrC4qYFzcMjqfDaHz42TWnmHmvPiX3UIY9HoHp0ovMSgoT3GR6+wqN9wIQQgrUTnGjIwCqKBiFKKYhCTmIpdTMIUn4IRh74caakYhakisz1qtrV9jPTi4kCS5u8j7MCA5VtFmm8UM6ZYRf69jODIwnK6oAgQWoahX/rAYxQRcCr4ylDEIQSP+jEYrZOVtgrSix1hl37071x9e0UAzz+VLD0ASA5Gm24hwv104wfwijt1+K1ZXTe93W76gocgu5OKdgOrPM/G3U6+FSVWPqx69EeHpbw+oPbmPAQHJEARRybI4GikZyahGNfZhHwBABVW34tZjNHrIbM5Cbe0aAL+O21MSX8J/v5/pdtyWoil4qzEfDnEn1rUk4MeWSDy09d+Itv8NVduuQUvLXkRELECuYR4eCP03jO9/DQAoQxka0Yidv/zrD9lggwMOWGHFXuzFp/jUY2bdCZiATGTiaXhXBD0c4YhGNA7iINbDlV3wWByLbdiGDnTAH/5Yi7X96qtKpeu1IHTn41QqsdcMa/3NwCZJy7Fnz2rU1a2HVmuDn58RANDcXIPUqEtxsflL3FI7C21owZNTTkbQLXV9tnn48NfQ69MAANXfHIMr/jgfd1WdjRzHKuzHDvxU/SjCwuZg8+arYLGUoiz4bKjQgc9a3sDeve9CFI3ItvwH4/za8W7dE9i582Gl7eWpt2L5urOg1zsAAK2ttT7NFjuQDHZ+8EMxivENvlHmriOZRiqLnw462GCDCSZUoxp7sKfX49VQwwEHdL/8C0AAnHAiAhEQIKAOddiBHfgZPw9539VQK1mXBQjYiZ0IRjCMMKIDHVBBhb3Yi+/w3YCvIa/l/eE7VCod2tsbcczEN/Bq1VSvr6PRWLB1TS7eOy0Wf1x7q1fz0xj9tkmlcmUb9zYz9WAoBjEAgB/hOas6ABSjGO/jfSQhCT/hJ2QjG2/hrSHt15FI+dID+LhqgfI7NnYpNm++asiuN6SlM2QKCSlFY+M2RNpPw/vWV/Btazx2toXhT2uuHOpLDyutSLsRarRhQ0s09rWZUWb4HPc2EN9VLR1wm2q1Gf7+Dhw+vFlhBEZTKl0AsMMODTTYgi0j3ZUx6oOmSi/hibI/wnxHLQCgZpkIlo5DWGV1t2NvybwCt9UTD1u+hBTzAUwPH1DGXXBwIf4UfgZurToXLS17fdrHKZgCESIECOhABw7jMNRQIwABeAEvwAorJmACRIhYi7VoQMOAriNAQDCCoYYae7DniCj3olLpEBiYhoMHv0ZHRxNE0Qg/PyOam2sQGjodu3evRkhIKfbufWdA7Ve/MA6//9dVeNF6D+6qm4fTXt6P8yuzoEIHvmnfiu+3rYDFUok040IcQg0OYCe+q1qKsLA58PPTwaGfjg+r5nfrsywsS9JytLfXo6bmuW4lAwZK3grtnkgWGNdhHfZjv0/6MxRUe4YZWe8sGlJmYCAkQEA5yrEJm1CPeuQjH1uxFbWoxQEcwGEcdjs+BznQQost2IIGNKAFLTiMwxAhYjImwwlnr4ykr8gf/shHPhrRiN3YjR3YgRa0eDy2FKV4F+8OeZ9kqq19EWbzcV4dazKlQRSN2L//Q6zPn4nkj1+C89VQGJ9sQ+ADh0YVnzBGo5OGi5/UQINiFOMtvAX2InZMxmS0oQ31qEc4wqGGGquxesj7dySRvNYDrvXPZpuF2tpPYbPNGtLyhENqugwPP4mAy7XtwSxXWvZr06/lMdKbI27C7S96M9UXS48zLGwObbZZLJWe5KkJz9P57fFHRVBsX+4zJpi6lToYw+hHZzrwl0B3l8RLBCZIK5T4mgWJz7qdGxu7dMj6ZYKJucjldEzndEznDMzg7/A7piKVqUhlKUopQKAeeh6DYxiNaI/tDMRddLRCq7UxKCiPERELlFInANzKdciJsCqlFzzGI/ZGe/fez+bmnyhJyxkXt4wkOXviG8yQblFcXeLiljEubhkzpFuYKF3B2NilVKvNrJReYJq0ys0tNlm6ptu8IYpGhoSUMkO6hVbrzAE9B3k+lTPu+sJ9yg9+nIIpI/6OAZcLoQCBWmhHvC99QS2aeWzIv91cyvzgpyQ8y0Uuj8Wxbu7dsouZJ+Qhr8c4Jl9B7l8FKtwKgfeGnvosu+XLiWqCgvJ8mrVcDgvo93tRm3stQzOaQ1rGMLzoHLM4lK6oRhg5BVNogqnPYyMRqZRfU0E15HPCkQ65NN9gclh4NVZ++WPISKOxICJiAU40TEScZjt2t4Vgb7sZ3zaPw5aOD0edpnQgdGHKnTjrgn8j7KQDuC7jOnzZmIjrH74SYZkfoPrhQISfcmjQ19BqbWhtrR2VbiUqqJCPfHyID0e6K2PUDyKJ6ocDETb/IMonPoO3fzgBAHBSwmps7NiAjduv6eb6PByubgIEEIQKKkQhCnrocRiH0YQmHMZh1KEOJpiQilTFrbQNR5YGXS687Q3ZbLNQU/McQkOnY//+D7s9/4CAZBiN8Th06GuYTGkYH1COL374q8e2Gk8KQ/5XS/HkuFfwQXMOLt9fj/b2JswKKMBl2WejwV4LnlCJxXP/hfX8yGW9VOkRgFC0oQVbdz+EwMAsNDZuw+7dq2E2Z8FszoNKJWLr1ltAtiEyciG+mPcgom60orm5Bv7+dhiN8WhqqoHd9gcEIxJrdixVioN7S6JohCiaodFYAAD19Rt9Nh8WoQgf4AOftOUtzZTexktV5cpvAQISkQgrrDiMw0hBCl7Gy8PijuktyW7rJ8a/hqD9u/DanouwAzvcjhEgIBvZ8Ic/dmIntmALZEtCIQpRhzo0ohEaaFCNarSgBclIhhNObMf2Iem3AAH5yAcAHMRB/ISfcBAHPR6rhhrBCAYAHMIhZCKzx7UtPPwkjDPmYF3VPwG4Ct/3d1z7kkZbQfExGt3Un3VooDQO45CCFHyID9GM5j6PT0ACfsbPOITB882/BRqMZ01/aMiFRbt9Pg4e/BoV4TciSu3EgXYT6jv02MgvULP3Fezff3QIGPHSpXj7lZ348mQV3jhcgO9aAvHQvUuw5V95KPz00UG3bzTGo75+ow966nvSQYcUpOBzfD7SXRmjflK6dBO+qvoHgoMLlXhksg1W60zs3r0agiAOyUSkgw75yFeEPIIQIcIBB/ZiL17Gy25xryqoYIUV4zEeBhjQgAZ8i2+9WnyOBtLrHTh8eJvbNq3WhsDANAiCiN27V8PPT4eU6KtgQDDe/2Eeqt8OR2DeK0ocYnDwZBxnuwCvH7gfGo0FZBtmB1YgQ/c9phx/FWb99048d+VS+BVegvbaNZh9XAm+q16J1tZahQHu7LIkikZkRq/CjrrVqK52jx31tWuTHFej07niMxsaNvt0XI6EsNiVdNAhG9lKPypQgd3YjRCEYC/2KrG2I0lq0QyBHbC3W+APf4+xfFpokY1siBBxEAexDuuUb1mEiHjEwwILQhCCOtRBDz0+wkd9xjoOlAQIKEABfsSPqEZ3d/vOJEFCGMJQA5eSLAhB+Ak/9Siwd47/HgoyGGIH7a49XMzkGB05JAgi/Px0EEXzkCo3HHDADjs+xsde5bEQIaIEJRDVZnzZ+v6QzQlHKgmCCFE0gmwbdqXQkAuLKpUO48efhGz9H3GiaTUePTgTe7AVLTiML6sWD+Wlh51YJuGb5gTcd2gOvmhpRzva8PGGP0IUA6DRWAadoMaVyELXjWkcaQpFKIIRjI0YncLsGHmmSukFvFn1u2G/rh/8IEGCDTa8g3eggQZJSEIgArERGxVGTQ01YhGLUISiAx3Yjd34GT+jHqNPcy4IIrRaG9raagc0icsWgc5CVm9WCnnRaG2tVc7Nkm6DERYEC0F4ZmMlfjfxXbxYVeZ2nlZrA+ASPtVqM1pa9iIwMAstLXsxLeiPqG034cvGx7Bjxz1u56lUOhgMsairW69cPyAgGaGh01FT8xzq6zfCbp/vltRmKEgWGn3N/I4GYdEIIxKQgC/wBQDACivCEY6v8BVKUILP8Tka0TiifQxHONKRjmpUYz3W9xjnJ9M0TMPreB1GGJGIROigQzWqcQAHcBAH0YIWJCAB4zEeO7ADVajyST+Nxng0NGwG2YbJmNxnwpzxGI82tCEGMViHdQOOgx4tRBJXpa/CBV+fA63WNmTJ8VKllYpVdYzGqDOlIAUqqPA1vvb6nGhEox3t+Ak/oQAF2I7t3TwXxuhXYX84BUZxqC/Q0dGETP0pMPkdwnuHc3DnI//BiX/8K9TQDfWlh40SpStwjXkH8Pbt+Db732iliHBVKKo6vsWue0JAtvlksvbUxmjQGppgGnMZOEKopaUaGk0YtFrbsAuKIQhBNKJhgAGbsAkbsAGAi1Ffh3X4Cl8BAAwwIBWp8IMfNmETNmIjeguIHw0kisYBa2hVKtekL3/LsjWht/bINrS21kKrtSEnaiVEaFALJ2rhRCMPQRAEAOjGKPr56eDv78CBA58iOLgQTU01aGh4HH5+Rjx+4FN0dDRBENyXBZVKB4ulFBZzMb6v+49y/aamndix4x5lwdJoLNBoLBBF45AptIZirlNDPeRuzLLFajd2YzM2oxWt3Y5pRzv00Cu/d/3yDwDWYA3mYz7uxt1D2s++yAYb3sf7qEPf2XUFCNiN3ShFKRrQgO/xvcfzNmADalCDPOShAAWoQx1ewSvdkuP0hzp74bShDWqoez0+G9nYju1oQMOIC+S+IPn7BzzzDb6iMUFxjLqSCirkIhe7sbvfyaqssGIt1qIDHfgQHyIFKYhBDH7Ej9iJnfCDH9KQhh3YocyNv0XytWVRo7H0mahQ5bOr9ULh4m7sbQvE1tYAQGOGAcEw/BITcKRTQEAy/mOqRYX/R6j+IhcaoQVBfoews+Nn2BCPsDOHVkMpZ0QcSQpAgFfMwxiNPDkc5wAYWgZCJj/4YTzGIxe5KEUpxmM8NmAD3sW7blr+VrRiL/ZCgIAEJCATmfgaX+MDfIAa1PhEUOwqAHki2Wo1kLYNhtgBnQu4vmGVSqeUyvF2EciW7sCJ0XcjRLAiUAjCFK0BOpiwq+Vr5X67LgBGYzz27XsXHR1N2Lv3TTQ17VTcTJuadqKlZW+3sdHR0YRDh9Zj+8/3uW1va6tHS8tehIa6SiBt3XoLQkOnD7vngz/83YSs/lIEIoYkE6oAAYEIRAlK0IpWvI/3UYta5Xswwn3ebkQjtmEbylCGEIS47WtAA9ZhHRKR6PN+9ofkuV6rtUEUjb1+VxOiz8ZX+Arv4B00SX/odY04gAN4Fa/iftyPNfga8zAPaUjzSZ+/wBewwYYIRPR4zNt4G2aY8TN+7tNdTqezK38fI72p/B0QkDz4zvaDBjJfrUy/GiZTmu87M0ZjhF/dSLdgy4CyGmugUbwVCGId1uF9vA8NNCj85d9u7MZ4jPd110eUVCod1Gpzr/uHkjrPaT1Rr26ovnBfSJGuw2nGVlQ1O7Cj1YpH1wg4dMz/Yebu2fi6asmg2h4tJAgibki/DGevXYr3J5+KO2pPwo6Offjwh1MAAIdKshD4/tpRV/LCV1SGMryLd0e99edoJLn2qdEYj46OpkEz6r6KjdVCi2IUYyu2Yid2ogk9W4RSkQoTTNBAgx/xI7Zh26CvD7jmL0EQvbb46fUONDbuHNZvtPOcYDDEor29yav+6vUOhISUotBwIkLEWsRqduDDwxlYvfNs1Ndv7OZxILufdn4e3sZbefJekK2IseGLcKB5Iw4c+BR1devdSqv0Nx69v14SeuiRghT4wQ/NaFYExs7zkAABrWhFLWrRgQ5ooVVKssh19AIROKDkXGqoYYEFAgQcwiE0oEG5djCCkY507MM+bMXWbslUghCEKER5dNFSQ41JmIRWtOJbfOu2byImIhShqEIVdmP3sM65kzAJAgR8g2+QJq2CGeFYt2elx9rL0dFLcMe4Q1hxYCo+3rLQTQHS2YWqpzVRgIDfa/4MVcshPIfnBm35FSCgAhV4E2/2eIwaahSgYFjLZIwkyclNoqOXYNu2O0bcQ2mMjmwywohc5GIt1qIWtV6fZ/jlnwYaTMAEt3AArdYGsq2b0lOuxXg0kyga0d7eBLLNJ7HLg+5Pbzt9YX1oaK9BB8fB2RaKJtSj/sVT4Gyfgrr2kcsY5msKCSlFhFiNPcWTcXPtJfip4yfM8Hcl3iiZ+AT8cRmAY2CzzcKBA58qNcd8XZ9uJCgQgahD3ZigOEIka5zq6zfCbM4atLDoC0FRBRUKUYhP8IlX8YXrsG7Q1+xKgiD2e/4aiVhgmVHWam2IGH8qNlZdDJMprc9MnxPt/8R4JCPQbw/80IFn6qOwYf+1yvvrfK6cpKi1tRYqlU5ZhDoLijnSXfi86kyP1/LUjxjHEmzctBzrtyzzaAn1JCh6Kv4sZ3n289P1KytfNrKhgQbf4Js+vRrUUMMMMwQIaEGLIiT6wQ8ChH4VXBcgIBe50EKLNrRhN3bDaEyErf4nGGCAAAEqqHAYh/E+3u/mbhqMYNShDgdwoEfLWSta8SW+RD7yu7n4/4AfsAM74IADyUjGdmzHZgw9ExGNaLShDRuwAbW1LyLw9+diyZ6LsCMoDyZTGoK08TjQvBFf/OE+ZDz2B2zZsgpTtwDAfd3a0mpt0GgsuD++GBfV2vB91X8QFjYHU8ynYEd7M0r99+D/gm8EVe9j45RmNF48F86W77EZmwfswUJQeRcGQywaG3dCo7EoihOVSofWjibsx37kIAfbsX3Qwvhwh4hERCzATz894HGfXJdte2EZJnz8iTIfABjSumxjdPSQH/yQjGTYYEMNavANvgFBWGHFRExEM5rxCT7pl/u4XO90B3agFa3dlGfyGh6AAEQhCkEIggDhiI8p9oY6Otqg1zvQ0LB5xAVFmXqsq6FWm31Sn6NMepoZ0i2cF/8yd/1bTZZJXJl+9YjXJ/EVfiysZFXBVF6ZdgOzpTt4UcrtvCjldqZJq5gsXeP2PAVBZEBAMuOlS0e8375AKlIZgpAR78dvFWq1mUFBeSPej85wwNFj7cOhgiCIQ1onaihhtc6kWm2mxVLJbOmOPutD3pxxOVuOi2RHRSyd3x7P9fkzmSvdo5wnCGKvddb0eofb77i4ZV731WRKIwDGS5cOen2Q60MNBNnIHpH6W2aYmYpU5bdco8xszup2bOfxKEBgHvI4DdMYhSgCYAximItcChA8XksLLadgSq/1AOMQx3KUMxGJ1EAzJPcsQGAFKihA4PLUW3nw9CDOiX+NAJgvPUBJWs59xTk88FcTnU+YuTZ/tsd2VCoddxflsbFkEufEv8b2KTFMkFawQnqOGo2FNtssnp38X34yeS4fzjqfF6bcyXzpAbZOjeZ7GSfxz5b7mKot9brfcm1SuVZsDnIYgQg6HIup1dooCKJSq9NgiGW8dCmzpNsYIAQzAQmcgikMQtCwj7HBQBSNI96HMRx9iEMcK1BBK6wEwChEsRSlLEEJk5HsVku1PygRymmAQfkdjnCOx3i3YwwwsAIVDEYwVVCN+LMYDgznd5wr3eP2fy/ovaHw8JMG1ZEEaQWriwp4/qR7WS79j49ln8vHss/l7IlvMDJy4Yi/lMFiZ2ExdxflsapgKmNjl/KilNt5bfq1XJVxJa3WmbRYKvscFDLTJS9qRxKCEMR0pI94P8YweootO+DgBEygDsPXH18Wwx5OdBYo4qVLvSrEvbsojy3HRfLHwkqek/wg86UHGBCQ3O9nodXaeE7yg0ckg6mCigUoGPbrjsd4xiDGbZs3wnYc4hiNaBpgYCYyle1hCGMZyugPf4/n+cOfZShjJCJ7bd8GG4tRwv/F+H5NFSCwEpUcF1LJmzMuVxQRGwpm0OFYTJmcWxZTkpYzTVpF547zf92+cxnvzVrGPef4s7l5K0my7pRxdH6eQ5VKR43GQq3WxuOkd3h12vV0Xqvm2vzZimLCZpvF13NPY+uxDj4R8Re2NbeRroKPCq5Ou96r+yhEIa2w0miMp1ptpsmUxvfyTuHOwmKPz1QuDj5Ugvhg0B9ljSCIXJF2o/JbFI1HBf81hqFFOMKZhzy3OcuXKMav350f/FiBCk7ERFaggglIoD/8WYnKYeUlfktIlVYqf5+R+FSvx/Yas1gmPY13qub0tLtPiopahE8W34vpd18JETrcb3kDc/ZMwnghBe1ow4/1L8DpfHzA7Q8leZPVL01ahdetj0MvNOHUXdfi/X1X409hf0S+/1fY0BKDpw63Y2vNQzh06GuP7ctuqLJ7lkolQqXSHXHuqaUo/c3EeYxGGg0ZcTuTCiqUoxzRiMZH+Khfbn6DoaFMEe9LcjgWQ6US3TKJ6vUOAK6ENJ3dOrtmKWs8MRx+u824+MA5eKnpAJo69mPXrpfQ2LjNozuop7GhUulQGPsAUjTtuGX9H/vsb0zMedi58+FR9Wz94Y9kJCtlJoaLJmACtNC6lQmKiTkPP/54XbdjnR9EI7xoCwBXEh0NNDiEQ7DB5haLaIABucjFJmzCT/ipWzsCBCQjGcEIBkGldqHn/sUiEuMxXjoXL1b/Ryl1MliKQhQ00GCXyeBWduWrVR8C+5sR9HYwzt14HSoMn2CK+B6u/PkMfLj9CaiggiWkErv3va7ciwoqPPDeA4goiEBt+WTMqlmCeFGN7W3+eNB6Jf6+52LohSa8fuB+1NQ8p/QhXroUrHoEz755DhIrFwHovQi9p3hIAQJKUIJv8S3OSLkK/558HgK2haBs6wrkaJuhE1pw+Td/AQDkIx9OODEBE6CCCtuwbUBJO4aL4uKWYdOmFT5pq6fn2tvzHqOji+IRDwMMqEIVGtDgVZ3E/lIxivEe34MgCEhEIg7ioJL8LhzhiEMcvsJXY9n2h4FMpjSPsopMQ1pncXHyI/ispQ6taEIrmpAnxuGN+ldh0DkgQIVNW6/pV5zKcJI3CRpuzrgc3zRJ+GfQffBDOzK/cUKtNuMyxzQc6DDhwq/+oaSw7lozLTR0Ompr17gJjKOJ4e8PjYYaZWM0sqSFFoEIhBVWBCIQeugxDuPwDt6BE84hv35AQLLPGOPhIEEQYTTGe91nQRCRGLcCYUjEV/tWIj7kNGyqfRQHD36Nlpa9XiXlkaTlqK5+GoIg9roo9IdUKp0Sgz2cpIIKRSjCe3hv2K6XjnQIEPAlvlQYp57m7dZjHVC/vM3t/EpUwg9+eBtvoxnNbscLEJCEJAQjGF/hqx5j8wIQgJmYiVfwSrekOYArQVVMvRZOOH1W0DooKA8HD3yOEpTg/0pa8Lv3vsVhsQMnxz2Cc4PuQ4jqAJ4+PAMf16Vg66blSqKqnc074afxAwD8O+U+LDn/HISfcgh+8IMDDkQiEodwCI9f/ROuf+hmfNi6HTbE43jjt7h69wa0tdW7CYtWWJGOdPxv+iboV/+orKnyOwgJKcW+fe/2eT9+8EMxirEO6xAjXYGN1begvn4jPs47ASdsF3D48GbU1q6BHXaUohyP4wm0owXlKMfn+Hws8/cYHfXkD39kIatPvi48/CRYjfn4quofA7pOKlJxavjxeMH5HrTQ4mN8PCrrKI/RENdZfK15A4xCKJL9YhCr2YF07dv4pC0atfXfKHXCvKnvMdQkikZoNBY3K6Je7+hVWEyUrsBE9WbUtFlwmP64ufYUGAwP4ozQaQhUbcWe9mDMmPiacnzXDIe7d692+y0zHHJxb/n4IyGDqgCh74PG6KiiAASgHOWwwqpsW4u12IItWI/1SsbJ4aLRKCh2/XY7z3Vkm1ufdTq7x3qscubIP0kPwqg6jHdaqmAwxLoUcK21Xln7ZI1hVdVyAIDFUumzrLf+/nb4+zuwd2/PWSaHgjrQgVa0Qgddr5l2B0N22BGJSIgQIUDAD/gBNXB/3j3NzZ0FRX/4wwADfsJPiIXnEisEsR7r4Q9/TMIkaKGFCBGf4lO3un91qMMLeAHxiIcJJmzDNmzHduVba2urRyBC+500SgstTDDhIA4qqetlaj7wDf4VeTPeqH4Sl7ynwQnaM2AwSFi34Tqcow5Cacgx2N0WjF17r8EmbEItanFp6s2InDAfa57bgunz/4DVF1yC8FNcQlY72vHjL//MMOOkf8fALD4MU9s+bEENboIfrDBBDz2iVcU43HEIwQjGdEc5lnx3Pp4pvQDJkhXrq84H8OvauW/fu3DeoEH4Oe7970rtaMf7eB+lKMWHVWdj60fRyDhhJgo+ex4dHU3QaCwAgJ3Yif1GA9rqXYL9h/gQBSjAd/juN13jbYxGH/nBDzrofJb4pQMd3RRanUle21pa9kKERimh4w2v2nldXI/1eNkZgtTQk/HG7lXIQtaweal1VfTp9Y4RSXI3FGSzzXJTtHkitdqM2TGPwa6uwc0//KtPOWzIhEWrdSbChGR8v/8ehAT/A9PV27G1zY5Dh79DvPEPeGfTH5TUzSNJOp39F0HRPdvQzp0P93rei6Fv46r9f8G/gu5GbYcJm9rqIIpGfNwUhpo2C8ardyNI1d6jhVIeqPJHJopG+PkZ0dxc4/bSjgRBcUxYHD4SBBGCIEKlEtHR0TYi1uhoRKMYxQBchcMb0IA61OFH/KikzP6tZ8fVaCzQam1uAmFvk3FP5TLINjgnJ+OUXf74pOYyxNhOgygaUdP0uceSBZ6oqxVRp7P5RLgb6UxtLWiBH/yGpG0ttJiIiR4zmnYmeX5OlK7A91X/AQDkSvfgs6qFyjGhCEUc4vADfsA7eEcpz+BJmdKIRnyOzwG4SoPkIhfNaMZ3+E5xxWpAA9ZiLVRQIQpRKEc5vsN3qEb1L+Mous/7U0GFDnQgG9kwwohGNOIgDiIGMfCHPw7gAL7G15iACXDAgYedNyI4bCaqDnyCWHUsbt2/yPWNtwJv17ygtOtwLIbq0Ne4eN3fAQCFJy1BU9MazL3yTgAnd1vza1GLtVgLjWo7iIOwwYZGNMIJJ1TGCWiur4I//LHPnoYJ+gRoDJrebyzUH0DvwiLgEhg/w2fIRz4yCjZgF55HZNRfUFe3HpLlNHxadRoAYG/9WpSiVCm1MtgSHmM0Rr4kAwyKcskPfvgW3w7ao8AKK5KQhE3Y1OMx8rxXX78R0ZYoxE58Ho9tPLbfoSBpSIMpahFu3HYiBOEvCPjl31BY72Wee4b0Or48eBM0GgtyDfNQ29GMy0IeQVVrNJ6tq8Q2fovqg29iQuBsfFe9Ej9ctwWWRx0oqP4Hfqi5Q6lHPJrJkyK4s8yREHcpGpp34A+mV3FtbZrX9zMkgZNarY2p0krGxJzH2RPf4DTpFa7LP56xsUvdgipHEinSdawuKmCWdJvX55RKT3Jd/vEEwGvTr2VjySSemvA8ATAyciETpSs4XVrNAukhzpBep8VSSat1plfJa0TReMQlmzDCyHzkj3g/fmuQE6OMRAbQPOQxC1kMQMCIZyfT6ew9Zv705tmMhsQ4arWZKpWuW19E0cjbMy+hyZSmJLOQM4g6HIt93gdvn1nX40YqC20ZyoakXT30rEQlAxDg1XM4O/m/yu958S93PwaCWyKHSZhEm9o9421vyUp00HXrjwEGzsAMlqCEBShgDnI4CZMIgIUopAmmHtuLRzyPwTH0hz8tsHCq6ji3BDsCBJajnCUo4fE4nuUoZxGKWOo3jUWqCoYiVDm2UnqBAJRkKY0nhncbF4f+HEy12uyWGbwzYmLOG5HxA4AJSOCJOJElKHEfA3oHzeYsZbsKqgFnfBzDGHwNAQInYRKLUKRkE7XAwimYMuA2DTAwGcnMR36PGZp7gszf9pVkT6XSua0X5X7HuO0PRKBPk+lMlV7izRmXc0PBDDovEeh8KojONYU88FcT604ZxwrpOT6cdT47KmJZd8o4tk+JYeuxDh6ea2PjieHcUDCDV6bdwHOSH+RbeQv4Xt4pdN7uz52FxQwLmzPi48ATdDp7n8cUSA8NpO2h67TBEMvo6CUslB5mtnQHH8s+l3q9o9e07sMFvd5B54MBdL5mdcsk2BciIxcqC2P1hX5u6WY/mTyXL+Us4qkJzzNXuodTpZcYG7uUpdKT/WLCDIbYI6oMQBrSGIe4Ee/HkQK5zIOnd3wkZMTNQEavzOhwQ16gOitatFob95/lUr5kSLdwbvyrbvsLpIf4yeS5I953eQwYjfEMCEhWJvoi6VHu+rfaY1kUOYPkSPddfs6+KrHUr+tCy8mYPCRtF6O4x+ykPUHO3NnTvF2EIuXvbGRTL7g/M1E0MlG6osf2AxDAAhQoZTcqUEE99FSrzTTCyGmYxgxkKM+mCEW0wzPTEI1oJiCBpShlMYpZKJR0+5510LEYxUxAAm22WT32S77fadIrzJPu48HiTD6cdT4B0HmjliSp0VjofC+KLSWJinDZF9KlmxgcXDjk62AFKhiEII/ZTnVaO8vEYzkTM2mEcUTWZLt9/rBfcwyjGwYYWIlKtxIT4zGexSimH/wIuLL3hiOcqUhlCUoYh7geBUADDCxDGbORzTCE9Xn9nr6DgWRjL/Kb2k0J01Vx4w3ktV0QRO4uymOR9CjX5s/mwdOD6LxcxcYTw1ldfSV3776dNReIPHz4WzrXzXDJAM9bfs3cfKeebdOi2Xx8BFtKEtl8fATri9PovEygc/OZ3FecQ+f/gc/nnMUNBTN4a8ZldD4SyAezLuhWkuooxNA1niPdxSzpNur1Dk6XVhMYHZp8wFXSgySfyflHv16y1TqTzmdDePDgG6z7kzvDliXdxk8mz+Vx0jvKtoiIBYyKWuRV2/LC0BsjOFotjwP5wH+rkCfbnt7lSDDf3rxfP/jRAoublcQb+Op+1Gpzt2/DZEqjw7GYERELmC3dQUEQeYz0JhOlKxgvXUrn3Qbu+reaV6bdQMC1oGVIt7BSeoGhodNH7Hl2vQ+NxqLMQ2ckPsWGeVYWSY8SAKOjlzAubhlttln9Zli9red6JNV9lVOsm+GbcdUZgQhkNrK9Pl6ubanT2anV2uj82F3xKFvTOguLRSii6Pfrt69S6SiKRl6UcrsyJ8iMV+f3/fXk4/ncgj9RDTUjEMEKVDBMjKZGY6Ef/Nys/GqoOQMzPDKIfvDjFEyhzZDFPefqXGUsngnmtenXEgBnTXyL+chnNKKV9ZokU6Trfm1fbea9WcuUvsrjubMiuLNgmCRdxXLpfzxGelPZ1tf3R3JIa8gGIICZyGRMzHlKDWR5rhJFI51fTyXLpCGzYPsKKpWOU6WXus0NVuvMI0rpPIa+IXs9dC0lkYpUhiKUIkTmIIeFKGQc4hiIQAoQOAETWIxi5iK3W5upSPVZPVFZCe4tnzoJk7rV6e48V3oDUTQyQVpBu30+qwqm0vlBNJ23+tP53Ww6P07m4cPfkiTnxb/M5uaf2NDwFZ3v2ul8wkzngwHc/S8NSfLQn4P5yeS5bD4+gjdnXM5FSU/Qea2al6bezOoL/bhr182cG/8qX809g2cn/5cv5Szi7qI87tp1AxtLJtHhWKyU5BnpcdL1nfhIbhiaDprNWVyfP1OR2GdKb1MUjW7C4khNZDbbLKZI13Ft/my2TYt2qz/UG6zWmWyYZ6Xz4+RugiLgYrjOSX6wm7uNtxoXuUCwVmvrszD3aEMRikbcJXE4ERNzHvV6BwVBZK50z6ipcehL6KFnAhIIgCfiRB6P41mGMkV7OdyQ54uAgGSKopFRUYuU70QUjdTp7FyQ+CydN2qZKq3knPjXeHriM6wqmMp58S8zXrqULSWJdL4Xxbnxr7L2DPOg+zKQSbgnTwaSXJ8/k/uKc3ht+rXKmAoOLmS+9ABttllu20Z6fIwUxmGcMi59jRCEMAc5Xh3r/CSVgGt+NxrjqVLpeFHK7cp+szlL+bsYxUxDGqdgCgvh/u4iIhYQAH8srGRHRytZJnFF2o1KUfng4ELF6rgo9hEWqEo4Le5lpgX8jmXjV/S4jo7HeI/MIfBLkW3NbGq1NppMadTrHS7N+jPBBFxC8+yAc5gXvcq1/Xo1qy9SKYxQb25M06RXlL/Dw0+iyZTGa9Ov5SeT57JQetjrdzGUmnoVVCxGMQMRSLXaTFE0Uq930GCIZb70ABtLJnH2xDeYLF3DHOSwCEUMROCIj32gZ8VO53GQLz0w4v0cg28QgQhWopJFKOJkTKYeerf9euh5Ak7gdExnKUq7CV8y/OHvsTZtMYo5GZMpwjf8uDwfdt3uaZ4qR7kbP2GEsV+GB53Ozjnxr3HPuTrW1r5I59oSOte6zq87ZRwPnh5EklyVcSWdt7u8RRYkPkvnZQL3nKvjW3kLutVslSHP5bnSPXwm5x+KUOl8w8baM8zc/S8Nl6bczc8nzxm1/J/NNos6nZ0ajYVl0tNsbv6JzusH7E7v+w7OlN7m55PnkCQPz7Wx+kI/6nT2IdUS9gdNv7eTJCulF0iSrcc6ej3eZErjXZkX0/lWGNflH0+NxuLRnSZNWsXXc09jhfScwszJWuP+DKauft2dIQjiqByYVlhZgIJ++7ofKViacreinerLUhwZuZAqlY4mUxqLpcdpt89XhBpPFqWRvreeMAmTOB0u7X8gAnkMjvHZgjIQyEydzTaLD2ed76ZQiYtbxo6KWKrVZrdvc278q4rCavfu2+m8P4BNv7ezUnqB7VNiuPdsvdfeDl1dh/v77kymNGq1Ntrt85Vz5YUqKCiPJPlw1vmMjFzI8PCTPLYRGjr9Ny0oAi4hKB5DE8qggorH4liv4tM8xQ13ZpI6KxJUUCluY52ViR/mnUwAjI1d6vEaarVZccc8RnqTEXAwFaksRCHTkU411Hwm5x899jEOcUosY2dEIIJlqik0G5KYLF3DuLhlXJD4LJen3qoUuH//8vd5oDKe8xNeZHT0Ej6fcxadH0p03m3oNc5QzkkgC3s3Z1zuxpDJcbe9IUFa0atb7mCRgQzaYeeHeSfzx8JKGo3xTJVW8jjpHVYXFdBmm0VJWs6QkFICLiVCKlJHdNyL4si4wg4VZNftMfQMHXScjum98lVmmDke4/tcmydhEmMQ43FfMIJZicpugmhf6Gk89qRE7cy7RiDCbR7XQccpmEIttF5fP1m6hs4btWyfEsMDfzUxQ7rFbX91UQH3Fed0MwjtPVtP5w0avpW3gA3zrB7zqMjzlMyPZ0i3KLzEwYOv8vmcs7g89VaSZFzcMs6Nf1VR/I0kNBoL7fb5tFgqGRW1iCSZId3itVGsF/iuk+HhJ7l8el8NJUnabLPctIOyiVanszNXumfYYxdVKh2jo5fw3En3k6QSe9gbdDo7JWk5Z018yy0+sStkRtBXwfqdP6ojZYGIQITXWvmhghzz5UvLrDcBw/J7kq0Lziv9XMzVI4E0mdIUF+P+xMeOJBKQwGNxLM/EmQxEoBIzNdL9Uql0tFpnMle6x+27kAU+eU4JCSml82qRnWnv3vvpfCpI+e6djwyfpUCm9fkzFRd4mQCwvTSeISGlnCm9PaT9iIhYQIul8oiZUzxBgMAiFA3JeCxDGa2wDur5lkpPKr+NxvhuyojOv2VhRIYeelpgoRFGNtc3Uwo/nQnBs1ky/hLePuECHq87nVGI4iSkUqezc3nqrfww72TmSff12KcsZLklpZERBAsrUMHYgDJGRy/hlWk3cP/+p6jRWFgReTPfnZbNmzMud/VL72DrjAm02WZx1sS3PI4fh2OxmzVVRpq0igZDbLe5z2CI7dFCOVN626PG//mcs3zynlOQwmAEc178y9RqbcyW7mBo6HRK0nKGhk5X5hGZf4lABB1wjPjYH8NvDznI8SqWsDeYYGIRinoVOv3hzwpUuB0j8zSejBQajYVGY7zi1aPV2qjV2npcWwICkpVjNNCwEpWKN5of/FiJSiVZjzfQaCxMlVaypaWaU6WXPB7z+eQ5bsp9m20Wfyys5DnJD/LQn4O5/ywjndequTz1VrfzZIWsWm2m8049e6KgoLxulv6eEnkNF9RqM+32+VyfP5PZ0h2sqbnWV237poPBwYXcWVhM53tRNJuzuCrjSh4sziRJLk+9lTqdnRel3M7jpHd4a8ZlI+LXa7fP5wzpdbeXLcdd9IYr025glnQbg4MLmSCtcNsnW5A6WxmWp97ao9bMW6tgb+5to5nRi0IUS1AyrBbGsDDXhKDV2qjRWEbEgp0kXcWlKXdzVcaVbC+NZ4H0EJ2fpHKq9BJNpjTGxS0btfGmnmCAgcfhOB6P43kcjuNUTPWYBGKk0DkZDABaLJUEXPOQwRBL5/d/cPvOGxs3cM85/nR+nuOyjlwtMiSkdMCaQG++wc7HqFQ6/i3pMbc+ydakyMiFNJnSmC894CZIeKuk+K0iC1n91oT3hiAEMQ1pXh2bIK1gcHChkgnVYIhV5vau7pOexkqGdAsrpOcoika3tbAYxXwk7u+cY72ZechjjljOJDGLMyPu50lBKzhNNZMX2lYyKmIhK6TnaDKl8ZPJc6nRWHock3rou8Vhpkf8i4Uo5ERMZI5fCbVaG63WmTQYYkmSTQeb+FLkfG57b5vCbMn0ZLYrhrZze/Lc5nzPlYAnJuY8pkor3dY75806zk94sVf30uHiC4wwMhe5dN7obsWQn2Fc3DIaDLFMka6j3T6fiUKKR4G7K4YyJ8NvIIHGGDxAgMBMZLIYxd2s26EIZSYy+xSyAhHIcpQzGcmsQEWPio/xGM90pLttS5Ku6vZdqlQ6hoefxMjIhW5eg96si+MxnhWoYNXloYr1zgCDkqDLWyRIKxgVtYjl0v88XrdhnpXOG7XKN3ll2g0KX84yiVUFU/le3ilsmGflvVnL2D6lu9U1T7qvm4BYfaEfOypi6Xx53Kjg6TrPsVFRi7gq40qWS/9jvvSAVwaxfsA3DcXFLaNz69lMlVZSFI1Mka7jhoIZLJf+x+joJcyQbuGipCe4rziHer1j2B+yVmtTMpl21ep3hUZjUVxxTk14nlnSbd0ywqVJq5gr3cP5CS8yLGyO2/0US4+zWHq81/54uv/ePrSuGRA7Z9QcbcJjLnL7pSHyBp2t0FnSbRQEUUldPJyLqE5nZ2zsUlZKL/Ds5P9ymvQKo6OXKOPm1ITnmSqtpNEYT7t9Piuk55gt3THi72SgKEc5z8SZXjFKntCVGQYG70rd9VvQ6x3K76CgPMbEnKe4DZNkVcFUWiyV3Lfvv3R+PZVt06IZHb2kX4ypt9/Y/IQXmSatotU6U1lAnd8ez3TpJjdh0bm2RFnEEqUrqNPZR6V7+WhGKlJ9EkdmgYUlKGExivslfMrKqWnSK3ww6wKmSzdxmvQKqwqmKi6U8juVBf/wwGLaYacBBkUI61wGJQc5LEABwxBGAb/O7X7wYylKeXriMyTJ1tY9rD3D7EoHv2UxSfLHwkqlXFPXvpajnDqtqw8qqOiAgyeqTmacmMowIdLtnmTqaO/gx9d/zN3f7SbgUsTItOvfarc1bF9xDquLCuhwLKbzq3K2tR3o1ofOSjyHY7FHN+7hTICXgQyWoISZyOxWJkWjsdBqnan8HodxTETiiI/53wJGGz8zmlCJSlphpRpq5iGPmcikGWbmIpelKGURinqMWRQgMB7x1EHHDGRwAiZ4PK6zJ4KcQ2OG9LrbeqlS6ajXO5R4Z9miaDTGK/y9Xu/gOGM6VYJrDlRDx0K/SqYilT9fILrx1Hro+1UyI1G6ggnSCmZLdzBRuqJHL8WeQkVkapsW7VEeCAubQ53OznnxL5Mky6SnGRJSykTpCmVO12gso8ZTTK02MybmPFdSntesvCjldoaGTvd1Ej/fNFQkPcpi6XGGhc2h2ZxFlUrHx7LP5UzpbZ6a8Dyd16vp/Kqc16Zf22N8xlBBNn/LTKrCsH3WXZMRFJTHgIBkOu8PoNN5WY+LlyCIDArKo0Zj6eZKNBhBuPO5vU2aXQXF0TTBGmDod0ar/qBUepI1F7jfb2cNiq8ti/LkZzKlMV26SckyJwgidTo7AwKSj1pG/3f43YDrHsljcijiMjuPd/n96HR2hoZOZ5n0NHOlezgv/mUeJ73D1hkTuCrjStc3//VUpks3UaXSsVJ6weeJpORSErKyoCeSg+3l++jMmPaFMYujC6UoZSxiaYONcYhjCUqYjvR+uZGaYWYZygaUnEunDqVRtLJhbwMPH/6e+2bG8J2pOXzp+Aq+t+I9lqCECUhgGMJYYFnMUpQyF7mMQQynYiojEMFsZDMueBYBKBk5NdAwAUksRSmn6E9hor6Cen8Hn5t3vMexJH9fudI9VKvNTJGuoyQtdxtT0YhmNKIJuNzNjsExNMHEFOk6Ou/UK8o3mZKla0iSO76ayzeWvsGfr1XTeYmg7G9vr3N7Fs43bN36Je/rujZ13jcaEIAAFqOYcYjjBPsZ1GgsipJLLZqZH30LoxDVY7KgMYxhuKCFlolIZAlKPGYwNcPsNe9VilKPbaihdmvDYHDlArgr82L3vmhtCt9jNmcp/NCv7eh4DI5hKUoZiUhWopLBCKbzq3I6LxG69dtbrw5ZgI2XLmW8dCkjIxd2i1XsjN6U9XKIWYZ0C6sv9CNJ6nR2nprwPC2WSuX+IiMXMlm6RlHwjaY1WBBEzk94kSSVWu/zE14cCi8N3zW2NOVunp38XxZKD7NUepIkmS89wFRpJdunxJB0JQipkJ4btgcpZ3sTBJFW60zW13+iLGav557W7fhUaSWrL1J51M52hV7voF7v4O5/aXr0me4PPAkcfRX+HK3WxRSkDNrPvjNmT3yDgCsRxPmT7vV5f0fb8xstsMDSLXvjaIGnyTAoKE8RAE2mNCX2wOFYzNszL1GKpnd+357irDqjP3VPjcZ4z8Lhx8lsPdbBZOkalkpP0mRKUxjS/qS2HgmvjNGKKETRDjsnYiKjEU0BAgMQwDKUuSVJ0ELLbGSzCEXdUI7yHhNDyElpspDFIhSxGMVu5xaggDnI47zQ2/nC4nN5+riH+MMnyxgSUspTE57nazmn0Q47c4NP/8VSKCiKrGjEsQhF/Ld5pUeGTRBEl3uyXuKaWUl8/V+v8+1zS5XxVHuGWYkTWpl+NQ2GWM6e+AajohYxJKSU8xNeZEdFLA+eHsR06SYKEFiAAmYikxpoWIQiauDK7pcl3aYkWOos6Mn/z7M/y9f/9TqLUMSXTj+enz20lB3tHSTJ+fEvMAtZnKI7ie+teI9JSFL2yYpWlUrHAASwEpUsRSkzhBzOtK7osQ5kV6RLNw3LeIpGNCdjsvJ+i1HMUlUlM5HJCZhADTSjpvSXt+gtWd4Yjg6Mx3iWoESxknujLKtEJSdjco9WyM4ZSUXRSIMhlpem3sym37u+2YiIBXww6wKmSNf1KJRkIpMWWFhXXcdpYZdz5wo1nZ9leOStPWV57QmC4AohyZJuY2TkQqZKK6nXOxgUlMf5CS/2em7X2G67fb7HOrJdk1LKgnCR9CjJoS3p0x8EBCSzXPofnbf7s/YMM0NCSt1CInyMwTei09kZElLKi1Ju50zpbSZKV/CMxKeYLt3E5am30mKp5IaCGSySHmVExAKazVm02Wax5bjIYZHQg4LyqFLpqNPZeeAvgXT+dAGdL4/zaLqWs6Lp9Q63QS0H8soWJsDlDunLfnYW+lQqnRJ027UvXY8fjQKjCipWonLEyiyMwXfob13FwUD+xgZ6blBQnsfFy3mJoAiKvcFiqXQrXdOTVbRrGSDAleArSbrKjelekXYjnR9Ed0tcI6ez7q9nwGhxexnNMMOs1AUNQxjLUd4vd1W5VplczFoPfbekD52P7+xevOccf5JkvHSpsi04uFCpB1okPapY/OIRzwhEcN/fe3bZF0UjjcZ4xkSfRwECzeYsZki30Gp1JS/oPB5UKh1jYs5jvvQA9+69nznSXay+0I/nT7rXLatnAQpYgAIGIpB7ztWx5bhIHizOZGjo9G6Kk7nxr7r97ujoYK7lDFagguufWM8iFCkZDQUItMPOClQwClGMQQyTkMRMZHKK33FKzLMJJs7CLJrUruywo60uma/gTT6EoYA8Psukp0f8GYxhaBGK0AF5ceUgp5vrdWd4alOjsXBl+tX8ZPJchoXNYUBAMklXmIeiFF3jUs4e3HmQH137kWvbWy6jAUnu2/dfj9crR3mv/Q0Lm0ObbRYjIxdSEERaLJXdEk4GBxeSZZJXcXpdSd4uh4+p1WaqVDpFbrg09WaFL9FoLH0qmIcashGsQHqI06XVjIxcSLt9/lDzB4NvRI5PbJ8Sw52FxTw98RnOT3jRldb28xxGRS2i8wkzo6IWcYb0OhckPsuQkNJeazX5CmFhcxRhUau1car0Ep0//rXXtNyStNwtQc1QM2i9LZZ6vYMREQs8Mq2y9qOzgDnUz7M/CEbwgF28ZMhCcmjodK+svYPBmMXGM4pRPOQJizQaC89IfGpQLqud6zB23RcXt4ynJz7Ta3xrVyHAbM5yU2bpdHallEFc3DK2HPdrrNfhue5ueM6fLuCPhZW9useMYegQjWguxEL+EX/0qgzGOIxjEpJYgAKWo7xHjXtPmD3xDTo3zOOFKXeSJNVqM0ny0KF3eEbiU8rcJcc3A6ADDsXFO1u6gwf+aupxXHYdm2q1WYHM1AiCSL3eoWRj7SzEHizu7kpeID3Euuo6Hjw9iM41hR49bWTINYAVd++QKRyHcYoA2Ll/aqg5ARMYjnCGIIQGGChAcLP2TsRExuJXF/CevntfZRc/UnGkWTLHMDyQs5tmI3tACvkABPSaub4nAVQOsbgr82JqtTY6HIu541INLUIYo9WpNMLFQ717ybs8vP8wSXrFl1agwqt+y/OByZTGBGmF27zh/DiZGdIt3FAww+270WgsCj/f2LiBgItXnhP/mpug6GkOksPN5MR5I/3ebbZZXJpyN9/LO4X79z/FZOkahd+ReZMhvP7gGoiOXqIsSHPjX2W+9ADVarNS9+z8SfeyfUoM06WbWFUwVdFwdjX9DtWiEBY2h1nSbUyQVjBeupRBQXm9WhjM5ixloHk7UXfNDOdrHMn1iMZh3LBnRx0IPLkijASGWiDuLwQIrEDFsNRXHCrLuCga6bxMcCtp0NfxcrbVrt+eJC3n7IlvkCSLpEe7ZVd+L+8UajSWHplfWXE10u/1aEc5ymmFlXbYWYlKTsREJiGJqUhlFKLoD1fMaCACWYpSpiCFIQgZtCeE82qRzgcD6HzMzI4KV2bRulPGMUFa4VEpWIYyRkYsVDTV8dKlA7K0yfH4AQHJVKvNzJPu4xmJT7mNze2FZYyMXMjg4EJqtTYe2HqAT897mu9f8T6/vO9Lfnrjp0xHOqMQ5WZ1kFPBy4xV7RlmBgXl9Zo8QQUVE5HISZjESlTyTJzplmUxE5kMRnC3/o/0uOkP5P6OFpc0GYNRuB1p7+BIgy+s6BZYWIYyZQ4bCAQIbq6mnSGXsejpXD/4MRvZrFDPYqVmNv9ju4FJSGI0opmJTMUjw9vEfuEI73deBJk31+sdtNvnu7KcP2ZmsfR4jwrhzvxFV3dVQRBHbSJCvd7BkJBSBgXl0fmhxErpBaZKKxkcXDjcGZIH3whJOj9KYLp0E1tKEkmSISGlbguV8zKBT2YvUYpN98YY6vUOnp74zKD7pVLpaLFUskB6iNHRSxgdvURxB5Lr3nU9vvNA9BZ9Hd9fJthunz+qXEoHi3CEMwUpvR7Tl1XvSLLQFEmP9vucrovIaCm8nolMRiBixPsxGCxOfqRbiQyZwZO/eUEQqdFYlGD+zkxT57+zpNsYF7eMldILnBv/KtOlm5gr3cN46VIlkVZP/XDeH8CAgOQxC/YQIwIRbpkrZXfUEIQwEIF0wMFsZLMYxcxGdr+KQHsL55bFfCtvAZOla5REEJ7mhRLB5X7lTaH6rujsbiULW7IWfab0Ntfmz+bDWee7rcMr0m7kMzn/oMOxmBPDT+cXd3zBaZjG3+P3zEY2s5HNM3Emz8SZPSr4BEGkc02h25zVeUynIpUVqGAMYhiMYE7H9G6W2nzk9ymYazQWOhyLfZ3+fQyd0JPwMlrWnzG4Q4TIKZgyaKVWCEKYDHcPnFCEMgUpnIqptMBd4WA0xjMoKI9JsZcMyPPCE8wwK7HkfRkTVCodk6VreIz0JiVpOc9IfIpF0qPcWegKkelaJ7Fr3wHfJ6UZTqu/HLbyYd7JdP7X5YEyFIkD+8DgGrBYKnlv1jJ+Mnlut9pmpCs17eeT5/DcSa4Yin4NJh/4BWs0FqrVZloslbTb51OjsXh0QQ0Lm6O48fTWXpJ0FbOlO7izsFgpNiy7CfmCCZST8RxNwiIATsGUbrE/g8FwWaaHA96Mu+HEOIxTUnF3dhU7UtGXNrev/XIhYU8UFJRHrdbWZ6ylnG0yLm6ZInzKyavGtPk+fNdQdyssPdLQ6x1Uq81uzIUAgWlIc2PY3spbMOhryWtHVNQiRkcvYaX0gsdxS5LnJD+onOcPf47HeI7DOAb7hVEDjcfxXCA95Oa65QnjMI5TMIV5yGMZyhiDmG7vIxvZbtZLOcbzmZx/sEJ6jlUFU9kwzzqiBa77ylA83LGWQ8ET9MZAH208yNEAESJzkct85A+qPFkIQjgJk2iAgeMxnmUoYzKSGYSgbt9qdPQS6rR2xqkzWIlKt/hvAQINMCgZqROQ0O1adtiZhzwWoEBJElaKUqYjvde4yc6w2WYp82d/DAc6nV3h93U6e69zV395MF/zbF29mGRhcPbEN6hWm1khPTfS8d2Da0AONg0Nnc7WGRPo/OFPv1oTN7pSx38yeS7t9vlu9aQ8YbDarK6ZQzUai8LohYXNYXBwYY8ToOwe21t8olptZrp0E2dIr9N5vZokmSRd1c2XWb6GLNCMpjS7I4VgBCtapApUMAxhPbpR/JYXqa5lWIYbEiTmIndQLi6dmczRYEUbzKQeE3MeG0smsaWluhuzLb+rvtoXRaMrVnqTe0zYQN617JkxWIyAVnLIIUBgPvI9ZhcdDVCpdJwb/yrVajOT/bIoQep2TGeh8r28UxTmwBdzokql6/N7lOMfAZew5Ol4UTT2OX4ECD3OIQEwc07IZcyJu5MqlY7F0uM8TnrHxTPcoBnx5BHDjaUpd/uknXTpJp8n3Ttakw8d6TDAwApU0ATPcc59QQU1J2MyM5FJCVKPlkqbbRYDEMAKVDAOcRQgUIDA8RjPClSwDGX8I/7I2Zjtck3tFHsoQGA60pmGNGqg6VfuCrmOY1/HecNfeKOM7W89Ql/zaXPjX6VKpaNzbclo5n8H14Be76BOZ+dM6W1mS3fw0tSbeW/Wsm6uL2q1ud9Mm9EY3+OD6ym2KypqkVvCF43Gophw5VowXc/pyyXWZEpTXInkeCaDIZbZ0h3Mkm7rNtB0Ortyr521yWMWBBdEiExAAqdhGu2w9zmJHMkxm8DoEJh6gwoqZiCDxShmEpK8O+eXhBqyq3do6HROk17h8tRbWSQ92o3JkN9h1+0Ox2K3rMSiaBzyuE1v3UdstlmcNfEtnprwPEny7OT/9vt96vUOPp9zlpuboV7vYJJ0ldfKsdEmfI9GyMxLJCJHvC89IUm6ig3zXGntQxDCaX6/ZxziCLh/F1FRi2i3z+fruaeRJA8efJWhodN56M/B1OsdA2ImvF17JGk5AbC+OI3zE170eK3+rGOezj/G/zQ2Hmhk44nhLJWe5Iq0G0f83RwtGMuW/NtBAAKYjewhvYYaak4VjmEhCjkFUxSr4DFwbStBCQMQoOQ2KEQhbbBRDTVLUOKT+bi3+U6jsdBun++VAmsg6In37EmW6A9E0cjnc85iTMx5/GTyXK7Nn+2T8LuhgvDLH4OiCuk5bG5ejYaGzTAYYhGhLUSaRsDN354MAKgpLoTj8x8RFJSHurr1aGjYDJVKh46OpgFf02KpREdHEw4c+BRkm8dj1GozBEGEIIhoadkLPz8d2trq+2xbEEQYjfEg29DQsLnH9k2mNIy3zUFt3dfYu/dNtLbWDvh+foukgQYTMAERiMBH+AiNaBzpLh0xFBo6Hbt3r/ZJW2Uow3f4Drux2+tzEqUrAACtPAyzYEeaGIL32r6DCirsr/0YE8xz8FnVQgBAWNgcHDr0NRobd2JTfiF+v3s6tDBi9bRzkfHCKThw4FMcPrwZHR1tMJuzIAgi9u17F4Ig9vjtDZTUarNX32lY2Bw4nU8BAAon/hcA8FHVqf2+niCIAAC93oHI8QsAAEQHNm+5xqu5aIx6JgECohENBxyoRjU2YiM60DHS3eqTVCod1Goz/JoPIQmTMC7yL/iy5QXU1q5BW1utsv/kqCvRSB0+aXkP9fUbQbZhashZeHjDcRAEEYGBaVCpdNi//0Ovr63T2QEATU07u+3Lle7BV9uWwmiMR4rlH9jS9Dp27LjHZ/cNAEEIwtN/nIiNG47F2d9cPfYNjNEYDYJKUYoP8AHa0e7Tdq2wIhaxECHiK3yFFrQgD3nYju1oQxuCEIT1WI9JmIQQhKAa1TDCiC/xJZKQBCus+Byf4yAOenU9ea3va83Xam3Yuuogbr19FS7/5i/KduflKkT+nx7x0RdjfdX50OnsaG6uUdoSRaNP5xqVSgc/P51PeP6/JT2Gt1s3wVnzPxw69PWg2xtKGpS0GRGxgAXSQ8yT7mNQUB6NxnhFwnd+EM0r027g2vzZjI5eophu5TIWg7kuSS5IfLbP44zGeJ8nrJExis3FRxT00PskaLs3dE1wMpQYDSmWvYEWWk7G5EHFJSZJVzEubhklaTkFQeT8hBfdsgPK8ZiCIDJduomStJwxMefx+ZyzGBW1iDdnXK54JwiCyBzpriFx29ZqbTwn+cFevRsMhlgaDLEMDz+p324p/cFv0Tqo0Vh8HuORj3zGInZUxSd6C9k6p9eEM0vIZRnKWeD/e1rFCRynlXhb8sVcnPSwW1gHSVZIz9HhWNxvLxUNNPSHP9PiblBcXW22WYyKWtTtPcXFLeOpCc9zhvT6oN95120lKBmUi/sYhhadXYDH+JvRDwssvZbAGChykEMbuvPBJShhNrIZhzgmIpETMIEaaJRaq75C1zVyqvSS22/Zgu683TWXaDQWpRyfXu/oNq/5ChqNhWXS01yU9MSA2+j8XV2aejPTpZtGVc6KXjC4BmJjlzJXuocr06/ulmW0VHqSJGkwxFKjsTA2dqlXbcZLl3p1nF7vYLp0U58vt7+DYWX61UyUrlCSBXRuY2nK3Qrj05Wp7bqAx0uXjk24XiIa0YxC1KDeHTB8iW6O9Pcaj3iWonTAMQ8AlMRRYWFzGBJSSpMprdcYF7t9PhOlK9hYMonTpFeUbysqahGNxnifC1HyOzKZ0hgeflKPDLbZnMW4uGVuSWoG4jI+kkLgby22KBOZo9rl1BtotTbqdHYlDjXYL4zfPPINv7z3S6YJWSxGMafr/sjcwD9SCy1ttllcl388VSqdW6KG3pQrMYhhOcq5+swpPDX0PhajmMUoZgYyejxnqNz+DTAMCWM7Bt9BEETqdHaqVLrf3JxypCITmbTC6tM21VBzKqZ2i/8uQxn94Md4xLMQfYdRyHlDOvNLvZXJCQkp5fyEF2k0xivxtwnSCp6R+JRbwqn9+59yO0+l0jFFuo5/S3qMd2Ve7PNn3FX4HKy7t05np8EQy3X5xzMm5rw+k2mNEgyugUrpBeZLD3BB4rO0WCoZF7eM2dIdDAkpZaH0MEly79l6AuAZiU/12Z63Gn15IBVJjw74xXUewGZzFjUaC6Ojl1CSliuSvigaaTDEKnFUFkslFyc/wktTb6ZzTSHTpZtotc7sM+4xICD5qEwq4Sv4wY+lKB1UGzqd3etaesOJrovuSAqaKqhYgALGIGZw7XTyDuiclKPzIhASUqpMgqGh06lS6RShbahia/R6Bw2GWGq1Nmo0ll5roJFkunSTW4xknnQfs6U7+hU3ORoLZ3d+N0dbgi0BAotRPOL98AVypLvcYna7jlcBAsMRznzkMxe5ynabbZaimO1p/BWikBMx0eO+WMSyFKWMQ9yw1FAFXMmzwhBGwPeZBMfgO6hUOuZK97jlfhjpPo2hZ/jBjxWoGFR2VE/QQcciFCmlsyyw9FkCrTd0nad6U652rVjQWxbTtfmzlSSWsofTUDznzvGEg+HlLZZKFkoPH4keRgM/2WzOovNKP86a+BZnT3yDydI1nCG9zsjIhVSrzVyU9ARJKpY6bxhElUrndTa0LOk2iqKRCdKKbvvkAdNTcgh5ApQTdRiN8TSbs3j+pHupUumYId1Cm20W4+KWKRlfOy9wnWkk03sfTchARjdNVghCGI3oAbua5UsP+LSPERELjmiNaz7yfa6FlOENUzFUE7ms1NFoLIqFcKr0ErVam9v70mgsDAhI5jHSm93Kr6RLN3Fx8iOcIb3u1VxlsVQyUbpi1BXlPtoRgQiPmUSPRPRHKZGCFI+uYZ7qN8YJCdy0elOv7WmgYRSimI98xeKogooCBOV/X92nnADDTxhzQR3t6JwRdwxHBrTQcgqmUA21T9vNQIZS3mIyJg/ahVy2NEZELKAkLeesiW+5zYEH/uru6RQdvYTAr3VouwppERELlPP1egft9vnKOb5GsnSNR2OEzHt404bstREXt8zNC/MIUZ7174R9xTk8ePCNbmnk9xXnkCQbTxhPtdrMyMiFzJBuYXtpPJ33GvlY9rleTUA6nd1N09obOlv7+pMSHHBp3M3mLKrVZgYF5VEUjayQnuNFKbe7SoA8ZubzOWdxXf7xdK4p9Ji50Lm2RLn/vgqxdx7Qo+Clj0pooWUJSty2FaGIsYhlCUpYgQpOwIRh64/8MRsMsdTp7IP2VR9pTMCEHi0Ng4WcRbE3DJVlXXZzSZGuo1Zr47z4lxkZuZDh4Sfxk8lzGRe3jABYKD1MoHv5iYCAZD6cdT5DQkp57qT7mSfd1+c1ZS3mmLfA8EN2hRrpfgw3/ODHqZjKCZjQpxUhDnHc+dlOj/vk76ArQhHKIhSxEIUsQAGLUMQSlHASJrnVVpPhgIOlKGURiliMYpaghDGIUbIjdj42ClFDnrlxDGMYTow2L6aJmOhTRbAgiKxABTXQMAxhXrmdyuiqiA0KyvPo4aLRWHrlqbry9ZGRC5W/86UHOD/hReV3WNgc2u3zWSm94FUfe+PF1Woz86UHvBICQ0JK+8XXC4LIgIBkGo3xXss6owQ97zQYYt18adVqM/fuvZ8f5p3M9ikxLuHwxHA6vz2e8+Jf5umJz7DuTxYmSVfR4VjMWzMuo/PjZFZXX8kr025gsnRNny5b/bXayIOyq9naaIx3Ew7l+ENBEKlWm2kypdFkSqPBEEuVSkejMZ6StJwkmSJd56r59M1MkqQoGulcW0LnZQIP/TlYeSY22yw3gXkgL2DMKuGOZCRzPMYrvzORqcTVCRCYjWyGI3zY+lMsPc5p0iucE/+a23g7ElGIwiFhsntS1HTWGA6VRVH+fkNCSpkl3ca4uGXMlx7gvPiXKYpGZQ4olB7mhSl3dpsn1GqzMmk3/d7uKkDcaVETBLHb/c2Nf1URQEcSo82NZTisEQKEbgql3xK00DISkcxGNktRylzkMgxh3YQzE0ws0hzrk2uGIIRpSGMJSpiLXCYggeUo91iAuwxlLEc5S1DCEpQwH/ksQhGzkX1EJiL6rWKk6/2OZnQWWEYLBAjMRS5DENLvc3uyJKtUOppg4hRMYTrS+1UncbCYF/+y18felXkxi6RHWXOByItSbvfJ9ZubtxLw/jtonTGBBdJDXq2BwcGFTJNWUaOxHD3C4oUpd/L13NO4Nn+2Sxoqk1wCYuMGOt+L4sNZ53OG9DoXJD7LQulh3pV5MdOkVYyMXEi7fT6Nxng6HzOTJOv/GErnJYLPikoDrgxJvbXXWSsg10iUGUj5pQYHFyoZGw8ceFapa9XbdaOiFin15DrTJ5PnetXvMRePXp4NVKxAhcJYjMd4Jb5OFI106DKYiMRh6cvSlLuZI91Fh2Oxm+aoTHpa+TsoKI8Ox2KPrtO+EpAECN2EPAFCv2ONhpPJli1uQxHPp9c7qNXalJqnWq2N5dL/lFjpPef4M1u6g7GxSxkQkExBEBkbu5RJ0lUe27ko5XaGhc3xGC8t91+2XMbGLh0V3gGjWck01DG5v2VhsSv84c+JmMgylDEVqdRAwwAEsBKVivuYL6GH3qNwKkMNtds+EaLPXePGMIaRhqw09iRMdF1nZMg8wlAo+WZgBmMQM2CFTFfDiicr4ECTHiVIKwadeLCn9a5Ceo5BQXlKDeSBwLn5TDaeMF55b0FBeW51kYcCsrA4ktbp0NDptFgqqdPZvc0h0fNOOVNbnnQfZ098gw3zrMySbmOWdBuPkd6kJC1nrnQPP8w7mXPjX+V0aTVjY5eydcYEOhyLGRo6nWZzFknysexzSZJhYXN8drMXptzZ4yDqOrDlop3h4SdRrTYzJuY8hoSUclXGlQRcAkBj44Z+WwirCqa6CYzHSe/0erzMSKVI17ltH9Pk/YoIRCha6wAEMAuu5EO50j20hs50EyZ9DdmnXBYSUqWVitKhq+BjMqUxMnLhkLkjpiOdJShhEYoUt7BiFLNEKGexqpwlqgoWoYhG/Lr4BCCAZpg9tpeNbOqhV34PpVars1VvsNDrHYpgJ7t/Wq0zqVable9adhNXq8103h/AJOkqWiyVSh+ypTu6tRsWNqdPV5Shej5jGDgKUPCbdEPtC+MwjkUoYh7yxspT9AB53chABotQxHEYx1jEUocxBW5/YDTGU6ezK8r234ICPCAgmQEBybRaZzIqapHX2f07Q602DwmvkItchiJ0QOfKwqtWa1OKzXc2qMj/d1UCRkQs6FHwlddjozGedvt8nprwvMdQrs7H90cBarPNYkBAMmNizmOF9JxX99cT1ubP9igcZ0i39NmP/ipGAwKSqdc72HKcK5N3dPSSIft25FJgPfVTfi5yKJ4Xbfa8c6b0Ng8f/pbOH//KsLA5jI1dyoiIBcyR7lK07CnSdXQ+EkirdSb1egcjIxcyKmoRTaY06nR2BgXlMTR0Op1vhXFVxpU+zcz3eu5pPWZPla8jPyQ5iU1XYTVXuofAr5kRB9KPruRt6Q8ZJlPaqLBWjCaUoYxaaAm4krLYYKPzRi3zpQdoh90tK5evLBmRkQuZKq2kWm2m1TqTNtssRUAMCSllSEgpw8LmME1aRYdjMUNCSmm3z/dqUgFcWvcoRDENacxCFq2wUg01QxDi0X1kMvI9xibJCzTgckuTYzmLUcwc5DATmR7jg6ywMglJPl/cO2fNG4oak12/jZ76LggiW4910Ln5TNez0dq8ij8cw5ED2fNgTBgavYhBDB1wjHg/PKEIRZyCKYxGNHXQMQUpjEY085E/4n0b7VCrzRQEkSZTGkkqmXx/C8KizFjLAmPX/d560AxV6IAIkelIZzrSB/Re5XIpQUF5isK8q7A4WMi88YG/BFIQRLeQnv4aS1QqHZ33B/R53mB5w1RppU/fU1jYHM6Jf21Q7rLy+5CV2bLyoasc0fW4nqDXO/qs6PALet4ZEbGABkMsT098hhZLJa3WmRRFo8IwWyyVzJHuYp50H0NCSmk2ZykZCTu3c1fmxXwm5x/DXkuk80OSNSWdtRvR0UuYIl1Hnc7ObOkOOj/snmFPTpoxJ/41Hjw9yKN2pEJ6zk1Y7Oho7Vc/JWk5z0h86oiv3edLmGBiBSoYhziqoGIhCmnHr4qGPOQNyD9fhvxRySUWHI7FrJCeU8q7WK0zFcWC0RhPgyFWcXtMlK5gknQV86T7PGbC7bogqKFmid9UFqCAsaoEmmCiAQYmIIGTMZlJSGImMpmLXMViEoIQFqCA0Yh2a+v8Sffy1ITn3WqhqaHmBExwc/eKRSzTkNatb+UoV2J3ffGeZPduuVaiLz0HvEFExALFFT0oKI/z4l9WFEWjsaTFQDEUQvhIo79MiAoqFqN4yLL5jsE3iEIUz8SZ3baHIWzEhTJP9XwBVxHyrpm4x/ArFiU9wcXJjzA6eglXpN3IlelXc1HSE0yRrmNwcOGwz/s9YSTr1fVlCHks+1zFk20o4A//ftcx7WxB9NR/OWa/61zdE/8gikaGhJS6tXVG4lN8PucsxZPpOOkdrzz4elofRNHoswoEjScOX/4LGYNxce38XDvLWbISY6b0NmNizmNY2By3HC1yCJ5OZ1cUPnb7fKZKK5V2vDBY9bwzUbqC5yQ/SMDFiMn1yyyWStrt82kwxDIiYgG1WhuDgwtpNmcp7mIajUXpxEgJQV2v39UX+/mcs5QkHF0Z/ErpBTcBcLq0mnq9gzqd3aN26MKUO7tZGHvrW+cXI2tzRsuEO5ogQWIucilA4GRMVpLfaKFlAQoG1KZsTQZcE5JcbkFOZhMQkEyLpVKJMZA/uKCgPAYF5SlaGG+YXTl+qCfX0M6wwMIiFLEIRUxHOidhEsdhnNsx8dKlXo+TFKR0K1yegARGYkK3Meyta0xX19UVaTfy9sxLWFUwlbMnvjHkQk1AQDJzpXuYJq3i3PhX3dJkj1nnjyzIi5k3Y2YcxrECFWOC4hEAAQLPxKJuQtnJOHnY4s17wjiM4yRM6rZdA82g6/werUiVVnLXv9W8MOVOnp74DK3WmSyUHlbKFMRLl7op5kTRyFzpnmGdj+VQJzl2bXHyIyP+3DojXrqUOdJdQ3qNCER0Uy4PB2R35KG+zpPZS0b8PQ4WQ6EskGWuYulxpkmrGBe3jAEByYqs09mNWKu1MTp6CWNizqMkLWeOdBezpNuo09m7hcZ5QM871WozC6SHlMXcYIilzTaLZnOW4mIqL/g6nV3ZPlosZJ4sC0ZjvOKfGxSU12Odq66092y9YjaXg3U7tz9Veok1Ndd6LSzKL1FxJ9TaFCvNSD+30YYIRDAHOUqtLlkDnIIUn5SC0OnsNBhiGRCQTI3G0k0IlF00+pO9ygQT85DHAhRQJ5h89l7lOkXeHCtAYDnKu22rQAXNxhSWSk/y/En3cvbEN5T76myx7A3P5PyDzm+PZ3PzT3Rer+apCc8PuSUvJuY8ZQ462mN8jzbFUW/KiL4yy07EROYid9iKx4/BMzzVM+4JGcjgXPya8M0AAxdgwaC8QXyFMpR5jHmPR7xPmO2jgamVERGxgNnSHVyfP5OStJyJ0hX/z953x7dVne8/krUsybYkCQcVoAABAABJREFUy7bsyLZiyyce8p7xXllgSkjTJtAAgYY2QAqhoXzDj9CGNGwIYe9N2ZuwAiHsPUpLCwRCGUHZ29mxn98f4l4kS7JlW7Kc4Def5xPrznPPPfec8573fZ+XdvsMloprKMRCZmXNpcVSz+TkiVQoVHT/+2iSZHr6TO47Op3uL08cNvPBaGKwBC+hoBa1cuhOfxFJN+LBssdKTPThwgOV86LSBrRaW9jcWh2OOfLf0oJrILdh7xAh6f/U1Kkyp4zNNpkF4hK6H7MwPX1mX/ftX2NKT59Jm22yrKV6TxAln/ZovIhAkCxC0t+SMmu3z2BcnIvjxbKA5xWLJSTJ84tupFZro/uZJJJkvriIuWKRzzNKbELV4jY/BTPUnHyS37/ZXDMkKzSHGrzp8vXQcwIm/PyuUBxwpdgbKSkdfGfstF4VjN46SyneVaUy+iwuSBb0nmWtQAWrUNVnLrShrDdvFKCAoxPG+T1zKIqiVmtjhbiBQixkjbiDaWnTfa5TJW4JGzFMT4IqKZ9itNvjCMKLuDgXU1OnygtsCiiYilSOwRjWoz7q1qgR9B8qqHgiTmQtaqmAgsUo5jRMYzrSo55CIwtZQfP1NqM56v32cEKeWMzk5Imclvs89XoHHY45rBP30Gpt51muu2mx1Mtsit4KkcHglPNXe18vmrGNw2nsCGdZEpDAsRjLBjRE/bkGikDtIhSDS38RbdK6cKReS0+fyWKxhAqFivniIhoMzoDtScryIBk51GoTT8h7ih3iFeaJxUxPn8nzim7mmvpGPlw5d3BuqIHgXaieBQyWryVaUKmMPhWgUhlpsdQzPX0mi8QVXFh8fdBza8Vd3PObNGq1Nu47Op0k5Xg2wJdAJz19JivEDbRY6uWVNZKyC29fkBQOm20y9XqH3AEPtC6HU6c4WDShieMwjjb8vChRgAIfF6dsZLMRjXTBP/C8TFxH9wUKkhywIm6x1PswhkmKS3x8iV9dV6KS6UgfFu/CAEPAGIY0pPlYZNkieIR4mXb7jJDcUQPlHgR8U4qEAu/2LXVo3vUV6mLLCMKHSDD19Qbv961U6mR3wDzkMQUpI0Q2hzAykMEJmMBmNMuxpi64WIziqJZLAQXb0U4NNH77YhHLcRjHMpQNCytotKDRWFkiltJsrpEt/xZLPe32GZwgnpPTlqlURqrVJtm6KI2xKpVR/ra9x4oQKfp/URjMnFkJJdvRPmCLYl8YrCtxXx5VgdwyR9pI320llBSE3nUvuQpXiVvkRfdW8TgnieU803Wvj6WyF4TnIYargqJQqHwmQFJgp90+g1PGvBTwQ+3ZwN0f1pNkUIreI8TLrBa30WKp59rzlbKyuGfP5/1uBIAn/jEuziVberw73l8aylHul/xZAQUb0OBHSNDTvSgtbTr37fuBO49PovvGyE46lUod9dBzLMbK24Z64h0IrWgNmGagBS0sE9fxlvK/slU8ziljXgqYXkJ6NsCTX/TasgsDtsdAinMwSOxrva3yHe5upsEQTrboQwlS26lDHROQEPXyjKB/CDbhbUELE5Ho0wdVojLqsadmmNmGNloRuI+ORzxLUMI61P3i3J/1egcrxA3MzJwtExpWipv4WNUZ8tzG4Zjjs2AerO/3VhhDGQ+Hw5h5KKEMZVH/lgaCYF5Mw8nYNNRQqYw++bqFWCgbjvob4pOdfTZd4jKZ1DMuzkWLpd7vOlL4W1iURamziHZFBkOgZOjesNtn+PyWfHbT02eyTTzJz+sm9Xq+Uqnjjh0r6b5QGbSB22yT2SDu5wl5TzEuziV3qO73ygb0TBXiBs4rvJPH5j5Ltdokv/BfqsJYgAK2oIVpSJOVQTXUbEe7z+pvOtI9fvsqCyeJ5fyodgrfGTstbK4Hgepfin9VqYxMRKLsMtcg7o96vQEeQodylPttL0Qhfzf6CRaLJUwy1dEOOx1wsBGNzEXguMw6cQ8zM2cTGFynnpjYTLXaRJOpgme67pVdJCLVvgN1tJmZsw9LhtFDDd5x26lIjbrVaQThRRrS/NyIpfQn0c5tqIaa4zCOqUgNeowFFr9xRjq3GMVsQhOb0MQWtBxW7qtS/zxeLOOUMS/R/UQi9zflc/36q7jjJAtTU6fKLJmSp0kgK5L3Nmkc9l4Q87ZcRXJ+czjOnRKRyGpUR70c4XgP7meThrQcvUFq08HmOOGcN2g0VvkbyM4+m0XiCtaL+1gmruPdFefy9/mPDWrh3GptZ3x8CS2Wer+cjlJOTcDzTYbAxzH0LyOcLFl9uRaazTV+q1U6nV1OBTI190XWiDuoUKjY2VjCHTtWyoH8KpWRTud8flp7dJ9BuvHxJXQ659Niqf9ZWVx96oA6KaVSJ0+gpbJLlMRSA4jGe4smFFCwEpWcgAmyC2oMYtiCFp+k9MlIZjva2Zp+BW+vWBCSub7fZekRsyr9TkQiC1BAYHitkNYpW/ysNaMwilnIYbN4mA2aozgREzlV+wf+Fr/lH/AHtqEtbPfX6eyclvu838JOrljE1fXtTE2dOmQLUnq9o1/Jf0cwNEhFKtvRTiWUUS/LCMKLVrT6vVcDDAHjqYcaSihZgxqmITiFvhpqlqKUTWhiHepYhSo2oUlmqlZDTTPMA8pxN5yh1do4ecwKLq8+WZ7TTM19UXZbk0jfeoYmSQvcSqWOJWKp34J9z/mfxCUR7ec9lCAR1R3qVu88sXjYKPKSlQ2IXD7MQM8PePQYycCQmNgcNlfcPLGYOp09oM6l0Vj7a0iJbkMZivvExbnkRiClSUhNncrMzNnMyJjFieIFNooHeV/FOVxccjWt1naqVEZmZ5/Nx6rOYJm4rtcGLTUspVLHU/If4bZtz5AkP609elAfQs/JtWQh+SUqixIUUDAf+WxAA7XQBhyk1SoTFyRfEdASHMkAZx10Pm6owwUGVTJb0OKzbTRG0xGTR7XaRKPCwgxkMAEJVELJKlTxFNMNYbn389WnyO24WTzM68v+TsDzzdjtM3he0c1DUgdKpY5qtYkGg5NZWXNlpbEvz4ShajvDEU7nfL9tkeh7ylHOQhQGdJcewaGPdKT7hRIAoAuuXpW0oUIqUikgqISS2cjuNf5LDTXjECf/zkY2j8fxBODXxx4K6G1SrNXamJjYzM/rJsnKYrW4zUexk+Y3arVJZkQFIIcZSJNeg8FJh2MONRrriGIYBuQhL2C+0EMFk8esiHoZJNjtM+hwzGFq6tSASlo4XWOlOXxcnItd47JZJK5gpbiJZeI6+ZhScc2grZclYind/0ig+51i5opFAZ9hADlJI/siAplQ+1Kgwj0pk0zKUmoKScu2WOpZK+5isVjClJQO5opFXFh8Pe+uOJdnue6WlUlv62Wg55FSiGg0VlaIG+SOdbCUwb3VlXdjCqQUHe6+3yaYWIlKAj8lmveKVVRDzWY0+9Sd9I7C1Z68//bOvRkui5xCoaJLXNbnCleo+R5HYzRrUSuvRBajmNaYUQGPtcFGJwbvaiEtyEirzxZLPfPEYjocc8K+mhioDqS8qNLkJC1tutxZh0Jh7T2pMZkqfrFxlJGEGeZ+J5IewaGHQCyjMYjhOIyLuvvmaIzmaIymCy7mIz/kfItZyGI96tmIRgKePrUSlcxBDlORGjHSkUhDYrrvEK8wPX0mTyt4gO4r1Xys6gw/htO4OBeTkyf6XUOyOi4svp5TxrzU5z1HcuSGDj30w8IqPxB450UeDkhOnijnig80J5nj+gdLxFLZ269O3DPge5lMFby74lzunmbjOYW384S8p4IeK90v1GubzTVUKnVce14Ml1XNpvujJp5fdKPMQyHpPYFiFvvxDNF/YYFeoLfCKFkjBuOq1tOyWC1uY3x8ibx6NmXMS2wXTzM1dSqzs89mo3hQZjj1dikMRH0r5b5TqYycJJaTJNc21EXclC0FlqtURh+CEb3eIZOQDBcTfyQgdZijMIrFPayLOchhK1qZjnSm2iLn4ijVsUKhohHGAccQ9ExOLlnBNBorDQanzMDaM1+TRmNlYmJzn6u1KpWRRZbjWKH1uPr1zL8IeBJTRyqOKBLfgs02mSkpHczJWUCVykghFsr74uJcjItz0eGYE3CVrr8JkjUaK02mimHlXtyz/YRyTF9uNt7X8faY6HlcuBajXHDRAkvU62+4IxI08kOJWMQGpPbXQRd1i1wMYtiGNh6JIwkgpBQEYzCGFaigFlrWwOPWroCCcYhjKlKZgxzWoIZNaGIjGlmKUo7GaJpgkl1yVVAxHvFMQQrTkMZRGMV0pDMDGRyDMSxFKetQx0Y0shzlPgui4bbOpafP5ATxHLOy5rJW3MV3xk5jiVhKjcYqE9t8VtvBS0uupMHglBdIpb8lhdFqbZcVxZ7u/gXikj7LEe5x4nBbNJfifXuyRFtgYTzio16+QwXSnKo3I8KGhhquW3c5ExObqVIZ2SweHtC9pDYdH18iZzkYbDuX2rVETGO1tvO0gge4c+cbXFR8bb8NbiEqpsF3hpqguz8V1h9kZc1lm3hSTsQdrrJIVkApV1ytuItt4klOEsvZLp5mkbiCNttkuUOWJqG9PYOUi89iqefDlXPpvlAZkH1ogC8pKNRqExvFg2wUDzJPLKZKZWSDuJ9F4orDXlmUBnWlUsd6NPqtUCuhZDGKA7pARQKVqJRdlPqjVEidh/SuFAoVk5MnyomPm8XDdL+RJVusLy25Us6z05/yKaBgtf5ojtP8hslI9ts/CZPYoT4uYB40s7mG7vfK6P6o7xXNQMpZo3gwrHVdJW6RO964OBd1OrtfGgbveFWdzu4zeQm0Gh4MNttkloprhqQNhYJgfUaw1EWSktif9jJUk6yxGBt1opMRDA2KUOSTVkjCcMhJG494/gF/oAKKXpVXKY+uN2lPX8qupERmIINFKGI96tmABtailiUo4RiMYTay5fyPmchkClIYhzjZNVsibwt3jkopVZf7UhUXFV9Lp3M+154XQ/cnrVx7vpLXl/2dd1ecS/fXf+BE8QI3nhXLzt95xo4O8QozMmYxLs4lz8+s1nY5rVSHeCXqbe5wUxarUe3HfpqGNDaiUWYejnYZhyOUSh1n5j/B84tupNXa3mc4hfuDsXQ654dlUSZQCpmBQqUyynMZtdrEtLTpzMqay6m5L3LLlkcGff0+ENqBkVpRH6pAUu/7SZMnKaBVo7HKE3Zpv1QuaV9f5Y+Lc7FB3M/MzNk/E9y8FJqJd7AKI+CZoLeKx/n7/Meo0ViZmTmbJlMF9XrHYaswVqOalaikGmqmICUoi+dYjKUdkY+T8HYNGYwrdXLyRDnoX/ruDAYnry27kLliEQ0GZ9hdIjXQ8LfmvzIb2XTAEdI5Uo5RwNOGJSuo1AZ7KnDhQmrq1JBi50rE0rDcr0HcP+AcnaFC6mMiUV/9GfCk1dZIPquEZCQf0omkRxAcgeYLCijYjGY/sq1gMY1DjWxk90pUo4CCYzGWGcjw2e6Cy29bJJCOdBahKGzXU6tNXHteDM8ruplpadO57lwVN87T0f2vDp/0X3liMSvEDTxCvEz3W3lMSeng1lPjmZLSIb9niXXxqarTB1WmcPV/peIaKpU6eeFS6gMlS4w0bh1KcMElE+hJSEUq61BHBRSsQhX10Ee9nMMV+eIiAoHnZkZjLh2OOczOPpubG6v4cOXcqJe3L8wrvNOjZ3zSykliecjnDYI8J/oPHU301jmFshov7S8WSzheLKNe7+Ac1z84I++ZqPjha7U2mY2sSFzB5OSJh93qmjekfFl5sc1sQhPHxRxNNdS+7wgKlqOcJSgJ+8qs9z28LZ39US4k9itpESNYu7HbZ0SUZCULWSxGccgTeIVCxeXVJ7NK3CIrr8nJE9khXqHNNjkoecxE8cKAyziQwO/xYlmvZFr9maAM5STDbK7x69gHMpnqeY3h0B9kIYtVqDrk2fxG0D9I6Sp69tHVqGYtaqNuYQTAdrSzEpUci7FsQAMb0MA61LENbQEto5I1MtC+cKNnfP5AkZLSwfFiGd2felKHBZJT8h+R9207xUT39+fQ/WE9u5pzSVJe5E5OnshJYjm7xmWTpOzREQ3W6e7uAyTJXbs+4ATxHM3mGur1DjlWTqOxcvKYFcwVi6LezkKFAQa2oIVZyPLZHoMYtqNdbg/Rduce7vAOU+mJ5OSJdN9u5I3lF4RtkTlUA9tADXEh5kYMJ6L/Ensi2paw/r48k6mCS8su5sUlVzE+voTjxbKoP4MEvd4h57CTJomHG6ujlFYjD3lMQIKH3CbAgJqBDDaiMSL0/Fpo5XjFNvEkJ49ZEZLCaDbX8LSCB0KKxw2nW3gwtKGN44wn9XmcTmen0zmfa+ob2TUuW7b09fXtDBWTr/T9BVKMDgU2vuGg0IWK/iYMTkISa1Eb9XIfCjgcQwmqUCWnnfBGLGLZhjaaYY5q+TTQMBWpPgptDGKCLmzEx3sWIV1wsRGNbEADc5EbEYKbFKSwBS2sRCU10Az4OiTpfsxC9786uHbtxXR/92e6X0zhp7VHc6J4gfOLbmWxWML09JmyshUfX0K93kH338C15yvl9ul0zuf1ZX9nV9ceCrHQZ2HuCPEync75IcUrDhbSophE5tEiHqXZXMN28TQnj1kRkTRakcYYjGETmvxiFAGwFKWyS6oNtmFhnY82tFpbr3OQQHPfSMyHJabRUPvu3sq8tOzigNtrxB1DXb/Rf8HDBQNx7UtOnsjLSy/nzPwnCHgmeQuLr5eTlw8HBKLAl3AoTUr7QgEKmIMcpiOdLgQ2tacghXWoC/u9jTDK7kul4hru2LGS2xvL/ToBKYWD9HdcnCviKWTiEMd4xFMNNZVQ9royHYMYpttnBtyn1zsYF+fyeabbKxawSFwR9Xd/uCLYYHMoKxAtaBlJk/ELRm+eCyqoDnkLiQIKpiKV4zBuUApdb0hAAtvR7he/Fircf/P8v/33ZtmSaDTmskBcwstLL+equvF0P5PEyWNW8PLSy7n2fKWPJdE7d+LBCVl032rgR7VT5FxxUnhOfzwxJO+a9PSZ/UppBHgm5y3iUZ8FVZJsEPf7uPj3VAwiaWEcTGiBBRa2oc3PmugN77CXOtRFrK0dKpDCyILt33tMZMJiwomBeE4N4Rw++hV0qEKjsdLhmMPPajv4ed0kebvEXBnt8nljOBF0AJFbMR8f8ys2oanXQdQBB8tQFtb7JiLRJ55g8pgV7G5z9kqPHKmOywADy1DmCXqPmcgKVLAEJaxBjcyu14xm5iAn5Em7xVIfNLnrCAaPSFv7pesPNn/TYBGHODnlzQh+mchDHotRHHR/AQqGRf7FwaI3L5dwQAklK1HZa12Ggp6yubGKJD0U/A+Zft7RIvy8ZQJZRAwGJ0vFNcwTi4MuwEsLjFlZc1kpbqJOZ2dq6lQmJ0/kqJRjOCZ+Eq2wMk7taQcqlTFoXrh28TTfrDmOBoOTOTkLmCsWkaTMou/tSdIiHh10vfflmTJQQhM11DTBxGpUswpVfq7aPdGABiqgoAqqkdjvIDhKrKRGY+X+ozwxxVIsq9Xa7vce7fYZg8q4EC643ysLWQEcYmNP9F/ooQqt1uZjtRvO7p39Zs4c5iswwZCAhJAopEtQwlEInGdwIMhGdkASnVbx+JBamYtQxLEYSxNMLEIRW9DCCZgg08LL7xcKpiOdbWjjaIxmIQqZh7xeJzbDbQHkcEc4+5Ph8j0nIWnQk9tDHYeTN8dAkYlMNqEpoDUkBjGHbB65nrDDzja0RZR4JA95zEb2gM4lyZSUDiqVOrq/mPEzOd+LKSwT1/kpksurT+71ev1ZjGoWD9NsruHy6pNZLW5jjbiDBoOTJRnnskN7AvOQxyM1v6MWeprNNdw4TyfnqvNpS5mzWSvuoslUwdTUqXys6oyASd+HIoxDQij9bQ5ymIhEFqOYzWhmDWpYhKKQ3bAzkck85LEQhbTBd2w+3PqYgXjY5IpFTExspvuJ0Bhi28XT/SpTtOu4v9b3MCD6DSHSmIAJYU/8rFIZ+0wwOhyDqCXF5Zc+8VdAETDX4EAxCqMoIALuCyUGdrBswwooWIAClqGMVahiG9pkhj4LLJyg/g0b0cgqVDEPeXIMhAEGpiOdZphl5dGI6DAUR9oddzgj2Cq0tJKfnDzRh6V5QG0kygqjAQaOw7gRUpsREPBYmcdhXMB4LCnR/eGAsRgbsT5VDTUnYMKAcpWS5OKSq9khXuH27c/L27zFfbPe8//qU+VtPa9ze8UCuj/09FPe/VMw5axYLKFLXMZ28TQ7xCucMuYlvlN0DL+paqJdNYYNqf/H2pSzaLNNZoIiieONJ9F9gUJWbCV3WCmNQHb22YyLc8mpDiTrkMRwKXnEtIrHh0VS+FjEsgY1zEMe61A3KKb2ZjT7uG1LObaBnxX3/qSJCoRwM6+H3D5bBI8SKwlAZt6VrIEpKR1yTs9gXmrr1l0e9XfdX/RHAR3qTBKKn/44rGU0RkMBBb7BN4hBDPKRj6/xNfZgz4CvqVabcFPxHPz+w8UB9yuVOswY8xBe3fUMvv/+tgHfJxKSnj4T69Y9iQMHtkGhUIE8GO0iRUXKUY7v8T02YuOgr6WEEq1oxQqsACP4SSmggBZa7MVen+1JSEI5yrEHe/A1vsaP+DHg+TroEI945CIXXejCj/gRu7AL+7APO7ADsYoEVLMU3+E7/A//i9hz+JRJZ4de74DNegQ2b38b69cvG5L7DkdRKnXQ6WzYvftbn+1qtQkGgxPbtn0IAIiLc2HXrq9hMDixa9fX6O7eG+BqwUWtNuHAgW1hKnVo0oY2vIW3/NruiPxyJQEJyEY2PsbHPtsb0YjX8XqUShU+scIKBxz4EB9G5PoKKFCNaqzH+gH11+6b9YArE6ZrtmLZN9Px2w+WwqMPAms/bsZFJ/4B9625Su53ekpiYjMez0lH07v3hnxPNdSYn3MlJo29Caqau3DgygvxwwEbntlbCRV0QPceWFLUeP7A90iDC4lbVuG+/52FxvJ7cZHlTfxtSzv2Yzd2Yxu++m4Juro6ERNjhFptwmtF+bh22/Fo0H+EM794FDbbZHz99SUAALt9Btasua9f9aPT2bF375pej4lHPLKQhT3Yg3VYh+3Y7n8d6GD/6d9e7MVX+AqbsblfZQkksYiFCirsxM5BXyva4j0XvaX8r1i+qw6PfD4eGRkn4cCBbag3nQqjcjce++F8qNUmKJU67Nu3Tj5n9+5vQR6Uf4d7bvtLnitLEnVteigRi1gej+M5BVNohXVAAeIKhYoGg7NXamiNxspNZ+p5hHg56s8cCFZrO1NSOhgX56LZXBPQ0uidOkShUFGrtUXdOhFOxCAmrNbFTGQyBzl9HjdeLOvzGCOMLEYxm9DCJjTJFO4NaGCzusMv31Iw9MoMBrXsyjIO43xcUAtQwFrUMhOZEWH184ZCoaLFUh91t45owdtN2WKp9/NIUKmMQb0UbLbJ1GisclLsUNL9RAuRshZJ7SZSuYBHEFkEIrRpQlNEWKsjiUpxk8/veMQPmSW9DGUB8wwnIpE1qJFj03t+I1PGvMSMjFny75ycBbIFcefON5iePnNQFgxvV3qJFOcvpqX8tKaO6z5dx29Wjucoczu7Dnbx4pKr6H6/iucU3s4ycR2zs89mo3iQp9nv5GOFp/Lzukk8NvdZ5uQsoEZjZWrqVGZkzPIL87il/K88Jf+RiLNFxiCGlahkNapphpk22FiCEh6BI5iEJCqhZBvaZI+edKRHLH71UMalJVf65Bp3icu4vPpkkuSntUczM3M2d5xk4eKSq1kmrmO7eFrO/Wmx1LNIXMHs7LPDkq/8UEIUxvnoP/RQQw01YxHLRjRyJmbyKBxFJ/pH/KDT2YMGOms0Vrqv1sp5ioYzpM6854Cg09lpsdQzLW16xBOSRwsGGMI6gVVCGZZA80pUsgpVtMAScHDRQccahDeHVQYyWIEKH8UwAQl0wMFWtDJfVx8RBkulUie3tf6eOxQxwkPVIUvkDenpM2k05sruUt7P6P2NBpvAKZU62a13KMrdH0zCpD5JGwb6jqKR020E4cEETPBTqFKQwgoMeUzOoDEj7xkCHkUikmyogeCCizWoYTrSmYMctqCFxShmKUoDpipZXd8uu5UeONIhb68St3BzYxX3HmOX+x+XuCzkcphMFUxLmx6wj9LrHTw7+To+UDmPM/Ke4ZbTjXT/XcHNfzLQvfpUPlZ1Bj+tPdrDxnpvPN1/V3BjdQVfqW1mnlhMnc5TJsnFUqUyygqwtGj0XX0LF5dczZycBWGvYyk9RxrS2I52WuG/QCXlwsxAxoBjSQ93FIkrZNdmu30Gt29/ibliEbf/3szLSy/naQUP8Ajxsg9b76UlV/K0ggc4M/8J5ouLeJRYyUbx4LAM94okFAoV3ZeqghI+RRDRf/hoQgUVG9HIcRgX0vFGYy5rxV29HpOTs4CV4qaIdFbhhpSDUa930GjMlf8GfmYs7Y/FR6nUHTIr/OUoZz7yw3rNBjQwDnEDfx9Q95raQwklW9DCBCSEvT5GYRSrUc12tMvxjoBHaaxABetRz0Y0hv3eSqVuSMkHejK6Rru96vUOWbkLRhCh1do4UbzgMzAOdiXV+7tOTGyOuIIp0f1HwmL0S7VKHw4ItmBXgQo/4o5DAbnI7ZORO1KIRzxHY7SPFcsKa6+eKEeIl33iFNvF02wQ93N/U37YuA30egd1Ojsrk0/jcSm3+9xv796vPHGRr2XyvKKbeUr+Izyt4AFeW3Yhzy+6kecV3cxbMv9Ce0yW7NUlLdQHWjBcXd9OrdYWscVEJ5ysQEXQfqwUpbTCykY0RmRx7FCHEAvpfjaJO3e+QZIsFks87/+ZJMbFuWi1tnPr1ifk9pEnFjNfXMTd02x0/2cKN87TcWruiywRS4csb/Nwwoy8ZzhJLI/GvcN/0eG4qt0XRmEUJ2Myx2BMwOfRaKxUq029TiwVCpWHfen62F5zGx4KUCp1rBA3sFE8yMTE5iEPph0KNKM57C6WGmg4DuOow8AmrwlIYPFP+RoDoRSlEZ1AxSCGjYoW5iCHcYijCSaqoWYMYmiAgU44eYz6RJ/n9bZ+SseGci+pn9BqbYMOwj8cECgnmXc+s56IBvvyYPsBO+wB3eVG8MtFMGVRCSWrUMUGNBwypEijMZoFKAiZ0XIooIee5SgP6VhvEptAZDahINCCl14zivXmU/hH65388UmrP5HO13+g+/0qXl/2d6pURsbFuRgfXyIviCmgYDOaaYKpT1f7hcXXR6xvTEMaq1EddL8CCtph5xRM4ZE4kqMxOurvf7ggMbGZZnON533/RFh0lFjJyWNW8Kmq0+l+28XExGYajbkkyYcr59L9Yb3cRq4tu5DnFd3MYrEk6s8SDUiEPu5/jo8KQeUvguAmFGlAAz7Fp7DCCgssPgHpU3NfxIs/zsPOnZ8FPV+lMuJEcTe0iv14eP3t2LTpZZ/9CoUKMTE6HDzYGbFnGJH+SQISUIQivIE3wnpdAwwoRSnexJv9PjcLWehCF77DdwH3t6ENK7BisEUMKnbYkYUs7PvpXze6YYABSiixF3uxDduwFmuxG7tRgQrYYMMO7IACCuigwy7sAkFooQWtRfhk013Yhm0RK6/JVBGUfOFQFK3Whn371kW7GBGTFKTADDO+wBdhva5Sqes3yc+IDA9pQAPewlvoRnfA/WaYUYpSvI7XcRDDm2CiAQ14G2+jC13RLoosBhiQi1x8hI/89klkNgBwR+X5MmGf+8e/ITVtIZzOv2D16isGfG8ttMhHvmeszToR89NuQ+ob/uPi2o+bgaRq3PGrUXhkdxcmaBPw5L4fsGrVQvkYNdSoRjU00OBtvIf9yq6g33x6+kz88MNdAy53IIlFLGpQg1fxKgKR2I3GaGQhC+uwDm64sRu7UYc6vI23I07qpVabAGDIScv6I+6743DlFdcAAP4Y/wA6NtZi1aqFsNtnwO1+VH6X3m1y7cfNSCt/LeJls1jqsWVL/+drQyUKhQqJic1QqYxYt+7JqJUj6hpzODBYN6RSlDIRiRyDMX4uqRXihj7P39xYxc1/MjAlpYMqlVF2gzAac6lSGeVt0a6nSCHarnwDxWiMZg1qQnYXCdX1rxa1/aZLl6ySvbnpjcf4YRMkLyUQDkTqo4CCiUjkJHSwDnU0wBD18o4g+khCUthdv0dcUA9tOOHsM31AIhJZicqol7UvVKM64oRg/YUBhqCWxUBWxLVrL+ZZrrs5v+hWloilA76vCSa2o92TS/AnV8PexP1GFl3iMqanz2SeWBzUeujJz+mfbkVCzzCDcCEf+UxGcsB9SUjy4xEYhVEci7FD+q6PEC9zXuGdnF3w0LCabzaKB9kg7ueUMS/x2rIL/fbfXuEJ2Tqn8HaubaiTY0OB6KXuGC4wmSqo09lptbazTtwTzbJEvzIGi2CdSn9cplKRyg50+MRqAfBptL29zAZxP02mCpmdKS1tOlNSOpiY2MzExOZh8+GG2z1DUoTj40sOWYUxEYlsRjMLURi2eCottGxHO5ORTGUARdS7bSYggQUoYBvaeo0HjEHMsMs/poeebWgLqmwroaQDDraghS70/S2N4PCGAope3bhChV7v+EXGqxyO0EIb0qQ6EGvqcEECEliPek7CpGG3MNYb8ZqUHzFXLGKjeJCAR3F03xk3qDlLHOLYhjaqoOJHtVP6VhTfyqP7mSRWiBv6/K4tsLBW2TTki0SVqAyazzId6X4upxLRzVC/72iEJ/SERmNlevpM5ouLWCFuoN0+g+npM9nd5uuibDTm8rGqM6hSGelekRrSfPuXhOEUnqPCYSDBcp+YTDV+7qDBZC3WYhn887v15noKeNyfjMZc/HfzLTh4sBN6vRVTYmPxJGrw/aZHsWvX11AoVMPGtSwUN4W4OBc6O78IKaeM5Fa7Y8c/B1my6MlmbMareBWjMAp1qMObeBODzZW4D/vwNt5GJjIxBmPQjW68i3ehggoZyIDpoAmxiIUCCuzADqzBGvwX/w163yIUIQlJ+BbfRixH3miMRmaMwO6urdiBHfgBP2AXdvkck4hEVKEKu7ALOp0d2/euhhJK2GDDD/gBAJCa0ICu7V9iB3ZgFEYBAP6D/yAb2cjV1eGLvW8hAQkoRjEIogtdWI/1WI3VYX+mSMiIy+PARXJR7k1CyWd18GBnyH37iAxv2Yd9UEKJTGQGdb8HgB/xI0Zj9JDlfw1VUpEKJ5x4H+8jMe0Y7HLv6vukIZRudEMJZcB9aRVvwn1nHFD+Pub9thzulak43fUgbvjPTmCAufsMMKAa1Xgdr6NLAaRes6HX47dseRBpdZ//9Os0qFTG3o/HFuzu3o5UJAbNJxwJ+QSfoBnNWImVfm7G+7APozEa67EeMYhBCUrwHb4b9DyiL0lEIvKRj/3Yjy/xJcww44cDP0T0nr2JzTYZjvhfwRmThHf2v4bTjV34yxeXwWmfg4tMX0Pz2s/zYJXKiJ07Pe+9dEw+0tpmA1gbpZIPT9mw4YVoF0GWw0JZDCRKpW5IJhM222Rs3PgyNBorGtOuwxZ8jxvXPY79+zehq2svuro6ZYVKq7XBaMzFzp2fYf/+TREv20BFSnQajcTd0ZQf8SO60Y0mNGE/9uNH/Igd2IGt2Dqg6+3GbnwOT2dogQWtaEUnOvE9vscarMEe7An5WvuwD3ro8T2+R87oC5ACgYPYjzdWHTegsgWSMRiDf3b9E9uwDQlIQJ3ht9i8/3/46MCrPuXYj/04iIPQqiyIx0YooEAWsmCDDf/Gv+HarkMnsqGGGv/D/9CNbqQgBQfQhdUHPfWRhjRsxEbswi6ooEIBCuCGu191Ei3p7t47ojBGUHpTFKUk2cO5/xyR/svbeBt5yEMDGvAO3gkYm/gVvkIrWvEjfsR+7I9CKX1F+dO/LGThI3yEfdgHt/vBaBcroOzGbuihx27s9ts379IH8cAXRwJYhkfGGZGR8d6A72OGGeUox5t4EwcU3Ribcxtemv0lTvgg+DkWy3TcXfEvHEQMVOjCM53NeOZ/J/a6wP4pPpXbwlDJQRzEJ/gEVajCO3jHZ98GbEAXulCEIgDAh/hwSMayfOTjPbyHGMQgH/lIRzp2YAcyxN/wyaozAABWa/uQLazt2PFP6ONPQFLMFnzleBJFP/wBq+d9j7df/B5/3mbz4ez4/l4VFArFkJRrOMqhOIeIunnzcIDB4KTdPoMOxxyq1SbZzVCjsTIlpYPt4mmmpk79xSUOPVShgYYOOFiKUtahbkBsfIPJd3eUWOmToqUKVTTCSJttMsvEdXyq6nSe6bo3rPnlYhDDEpSwCU1sQxtrUctiFPsdp4CCsQFiRnKRyykxx9EEU5/3ikUsc5BDBxx0wMFEJEb9nR/qGA7uR6G4/g/UlfqXFpuoUKio09lps02OelmGCilICdjnSEhAAtvQ1u948FAxZcxLIR2XiUy2opVjMfaQyKWXgYyAzJw7TrLQ6Zwfllio0RjNRjRSBS0NBifj4lzMyJj1s69pi/B3P73VIP/dKB5kXJyLWVlzQ+pHohUf6oKLmciM+jtVQeXnXtyABqqh5uQxKziv8E42i4eHpCxGYy6NxlxuOd3I7dtfovvDeu7a9QnPL7qR7qs0rBA3cLxYJh+/69iUEZfTQw9RL8CAEe0UHTbbZCoUKmq1NhoMTmq1NrlMFks9k5MnRizYOlKYPGZF1Msw3JASk8E2tDEHORHJERcI7rvjWCVukX+36o9j/uj5LBZLuGvXJ3TfamBa2nR5v8HgpMkU/STWg8kxGS4MpVLhHVOg1zuC5kkcLPR6x2GhLCmgCBo/NYIedfVTyqZol2Oo0YzmXgnHdNCxFa3Rey9QhJyXebhAB11YYoUDIRaxbEQjS3XjqVFb5VRbGo2VTud8zi54iDeWX8Cnqk6nS1zGA0c62CoeZ6t4nFtON/oqjy/ZQiIUBMBsZDMd6VF5/y1ooR76qL5TCyx+PAA22OiCi1qtjR3iFer1DiYmNvdrbtCfWFWncz6njHmJE8ULdK8+le63Xdx1bArX1Ddy66nxbBWP876Kc3yMJEvLLo5qvR0OiFK8fvQffLhgIIpdRsYsn7w/SqWOZnONnOC+vxO8aJE2aDRWuZMeLmQ8ww2ZyGQzmlmO8ogqRb/Pf4zuj5p8tk3SncCGnHv5ae3RJMlFxddSrTaxWTzMzMzZTE2dOiSJ7QvEJWwVj9NozD0slJdwwLveK8QN1OsdshdBb4P0QOovVOthsIW0aL+zHOSM5B7r5zv7pSEJSb1aFwGwBCVDZt2JQQyTkcwmNLEJTWxFKx1wRL2e+osmNAXcni8uIoABe6mMwzgm60tosdQzX1xEne5nZlu12kSFQiVDqdQxPr6EOp2dBoOTk8es4Dtjp8lK444dK3mm696Q7luK0oCEcFpoWYWqiJLLxCKWLWiJKjN5KlL9mMglEjy7fQbPK7qZHeIV/j7/MZ9xo+cClFKpo8HgpEZj7VcfZLW20yUu4xHiZb5Wczw3/EVD942xdK9I5dTcF+l+Nolb/5jAcwpvj1odDRUMBuegPMn6C+9vbAgR/YruL8L9QgbqvuUSl9HhmBO26w0HaDTWX+Rqtjf6mlAnIIHlKGcjGtmAhoi7UMYghidbbmKduIebNt3Jx6rOoFZrY4lYSoVCxQ7xCj+qnRLRhQa93sH09Jl03xvPPU2FTEubfti7VA/FdyC9M43GSr3eQYdjTsQGgv6wQ0cKzWiOehlGMPwRSjuJJDtqcvJEZiCDzWhmPepZgIKQ0ysNFyiVOp+0A41o9FNuMjNnD7gfV0DBIsNEjtcdR6VSR73eEdLcR1IaU1I6mJLSQQAsFkvo/ruCbeLJkO8fSPm1wcajDaezAAUBUzqFE6lIZQtaIuYS3Ru00DIHOX4LJulIZzayabNN5rVlF7JG3MGsrLl0OufTYHCyXTzNInGFnNpNo7HKCnx/y5CRMYs14g4uq5pN9wUK7tnzOd03esJTxotlvLz0cgIe62ODuD9aCk7E4e3hdThD8dMfIzIAKRPX4dtNDw6rZJ6RCJp1Oufj668vCes1h7P0h9hHAw0KUAATTFiP9fgRP2I7tgMAFFDAAQcykAGJFe1H/CiTvgSTzs53cHHtv3Dhv/6IGMRgknoavk9OwhkpcXhqZzP+p/gY23b/CxvWPg17lxXbsA1aaLEf+7EZmwf9/N4SF+fCrl1fo7t7LyaKF/BMzmzY3nVg69Z3fdrZoRisPVwkTyzG6m+XIjGxGTt3fgadzo6EhBL8OSEBN3SqcYPlP/jTlmL8b+1d2LnzMz+2UJXK6EMcMJxlOCYtH5HhJ5WoxH/xXz82Zm+pRS3ex/sByXAGKzroUIUqvIE3EGlGy3BKb2NXIQrhhntQY4QaaphhRjrSYdVkY5NBg+0WO1Ji8vHWqhMAABqNFQcObAuJTV2p1EGjseK3o68HANzz+dEhlSMGMRiP8XgZL+MADkALLcpRjj3Yg0/xKbrRjTa0YQVWyOekpHRg/Xp/xvvBiA46VKMa3+AbmQ18KERAoApVeAkvYT3WAwCykQ0HHHgdr8OR83/QKuKxxPwFrtk6A7uxDdvghgUZ+HDDIqQlT8F3P96BPXvWBBy3NRorrNZ2dHV1Bq2zlJQO2BJa0apJxOf7U3DHHWfA0boF3964F+ULJsJgcOKseAOu61TggoRNaNB9gNQ33opovQy1eI/Fh9I4PBA5ZJXFaDN1qtUmVI5eiq1Yg89XLQh6nDTZVqtNIA8e8ix+Go31kH+GSIgCClhhRTrSkYAEHMABqKHG9/ge3+AbEEQMYpCOdDjhxCf4BM+PbYH92nVIq/BdbGgQ9+Oh009C2pn7EItYNKABo8wdmDL6eVz58R7wp38A8AN+gBFG7Md+aKBBClLwTYwb33T9N3zPFkIqg8NVwq0EB+u3pDpWKnVISmrHwYOd2Lz51YDXSEubDrf7QSiVOqhURp/vUaHwEFzHxOjkgctmm4x1654M2zMMVDTQoAY1eB2vR7soIzLMJQ5xqEIV3sbbQVklm9CEN/FmRBYecpGLvdiLb/Ft2K8dSQnWV9tsk7Fj3XJUoQqv4tUBX78BDdiIjViLtUjO+RO++mqxz/6BzA/KxHVYdunfcPcFC3DuP88K+bxRGIXRGI0YxEAJJT7Gx/JCLQDUoAYf4+MhYc5tQhM+wSfYgR0RvxcAZCELB3EQP+AHSOmIqlGN7zLysWv31yi0zEa1bitaY9/B2q4U/GNHHSYa/oMnd2Xi684nodFYoVSq0Nn5BbZseRNdXXtBHpTbT5G4AhZk4H/7XsF3393kd//4+BJoNFZMTDoT93/5G3R370WFuAFfrr2hz3Rzh4uYTBXYtu1DAIOfJ0iKZqgKp9lcg61b3x3w/QYqUTdvHoro6QobyJVDimeMdllHMPSIQUyv+5rQxBSkyNtIhuW+CihYiELOSFwakLF0BD8jPr6EJlNFr+6mkXDdjFRcw3Dva+pRHzDGaAQjCAQ99GxDG1ORGnD/MTgmrDFjWmgpINiKVhaisNc+PJwYiu/WbK6hUqmjQC6dGBgJlxZa1qEuIuU7y3U3SYYcrxgK8pDHJCQNyTvUQMM2tA3qGqmpU0M/FqkUEPLvURhFJ5ysF/dRiIWcMuYlLquazd3TbHRf5YklPK/oZlaKm2izTWabeJIGg5NKpY5qtUnm65BcUi8vvZzdbU7m5Czwu7fV2s6UlA5qtTbmikWHHIljv9/tT/ODjIxZPr8HAoVCxRbxaMB9mZmzabHUR/15e0HUC3DIQaOx+pDAZGXNDXicSmWkyVThF/R9OGC4T0yHO5RQsgENdKgLI3J9M8wRG9j7gwpxA1Uq47CIlxtBdKCFltWoZh7yol6WERxaUEDBUpSyClV+ylsb2miAYVDXN8HEEpSwGc0ci7G0wx5V0pJIEmQYDE6qVSY2o7nPhcRA5TDDzEJEZrzatesTmRE1XLHiaUijS9c8ZO+uHOUDil8803UvrdZ2nzpXq01MTGxmnlgc8Bx1TBzHYRwNMFADDUdhFK/M/rtMOuN+NonuD8Zy//61PmyzF5dcxfT0mbRa2+U5qcHgpNlcwzyxmAXiEl5aciU7f5fM12qOD3hvbyKkQ0FRHOjco0BcwoyMWWHjICkT10W9LgYDJUak37J//yaoVEao1SaoVEZ8883SgMeZTDXYtu1D/HfV/8O+fevk4yVRKnUAfnYdO5RkOMenedfxcJVudONNvInUA0Y44ZS3l4ilYbvHAY0+bNcaiOj1Dvy48xXkZM2HyPp/US3LoSwajTXaRRiU6KCDGWa44Y52UUZkCCQ9fWbYrkUQn+ATfINv0IIWGPFz3/4JPkEWsgZ87UIUIhe5+Bbf4lW8infwDtZgDaIZoxhJd//sUbNx4OA2fIAPUIzifpdjB3bAqh4dkbJtf3W8/Her476wXHMjNiJ+788uqEZjbliuG0zWYi1Skdqvc9RqE7SK/ci2TPep88UF5yM9cTKUCDw3PNC1Ex/jY/wav8YETMA6rMOr69fiszGdeDD+FYz9/ThAqYFabfM5b/4nc/HedcuwceNLSE6eiHxxEcpGLUJsrAOnGRW4yPQDjj/p/2H1/8Zi9pYxADzjuCQqldHH/XH37m/79bzRkIHEEbaIR/HfrxbAonMNKNzNu621i6cBAB+vmtPv6ww3ibrGeihAWvVxict8toeyChbICidd71CkSx/ubKnhTFQ/FMhDHpvQRDvsTEJSWFj3HHAwF9FnK01MbOYE8VxQ6/sIfhlQQx3V3HgjOPShhZbtaJetiVK+u1DPV0LJHOQwG9lsQhOzkBX1Z+ovBjNfmCCeY7t4mgDYqhg/oGuM1x0b9rKpVEYajbk+FrBw1VewdCGRQAxiWI/+uRFqNFZmZ5/tY71SKFSsE/cwM3M2AU9qk+2/NzMray4tlnrmikVySqZKVPK79kKS5Levfcs3L3uTn9z5CV+/8HW+feXb3Pb9NvYm+4/K4PtjpzI1dSpnFzzEPU2FfKByHpvFw7/YFGoOxxympU0/pLMaRAhRL8Ahg2Nznz3s3ElHMDyghZbZyGYe8liPelajmmaYBxw304QmKqAY6fBGMGyQhzzaMdJ/jmDg0EHHcRhHHTwLsJWo7NP1TwklR2EU29FOBxwchVFRT6gebdTFjKMW2n6f14jG8L5PnZ0ajZU222RZgVnbEL7wiTKU0QzzkNVrMOW0pyKtUhmp1dp4XtHNXF3fzvj4EqpURiqVOs5x/YMKhUp2n2wQ97Na3EaDwUn3h/Ukye7uA1RAwSxk8UjtDD77x1/z1UWv8tULXuX+Xfu57btt7FzfyRXnreCG/2zgnqZCbtv2DDc01HBh8fW8pfyvbBYP85T8R/hY1RmcIJ5jd5uT5xXdTOBnA4cUp/dLgaSMj4RZ+ePQ83+Mkuw9xo5x/9mOvXvXAACerz4Fk967Ncql6luizRobDYkWU9RgZB/2YTVWy78tsMAOOyywYC/2YhM2IQUpiEUsXsWrfTIAEkS28/+QrWzEi6uOiHTxR2RE+pT92A8FFNEuxogcwrIXe/E23kY96vEaXkMXugK2KRdcsMACyaV0HdbhNbyGAzgw1EWOqmRmzg7IZrmu6zskIQlrsCbouRqNFeRBn/mDLjYDQchp+y1KpQ7OjDPwrfsOrF37hLzdmPUl8EZ47vEZPkMjGrESK+UxMx/5SEEK9NDjY3yMtVgbnpsB6EIXYhDjNz73dOs9eLATiYnNOMd0C749aEeRbSaqtQfg1HyPq3euxpE5y7FsVSvi40ugggZV2n14t/Mr+XyFQoUTnI9i39eP4Pt93+D5R07E0rX12Ll2J176v5ewZ/MeNJzXAHOWGRcevQxXf/1vwHTUT2e/i+TkibCYVHhz1WVYkTEL3d3PofqHs/HR12cC+DnM6Pvvbwtb3URD+stSen12Neb9+F/Ex7tgS/4VVn190bAOuRpqibrGeqhgau6LBMBtp5iiXpbDBXFxLjkxbziQmTlbTkQb7WcLF2IRy1EYxVSk8g/4Q0gMb41oZHb22RRiIYFD0935UMFI3YaGHOQEZbY8nDDSHiKPBCSwHe0sRCFdcBEADTAwBSlsQcuAGT8PN4wXy4LUn4WlKA16XoW4gQXiEv4+/zGf7e0x4RurAc+38v7YqT6ukd1tnnc3kETxgVCIQh/rYjWqqYGG5ShnAhLCEvYhoQENIR9bL+7jLeV/5Z6mQu49xs7JY1awUTxI9+1Gur+YwWm5z9MlLuOMvGfovkoT0I30jeZatmVcy49ue4+bvtxEkty7fS8P7D3AV/76Ct+/4yGOw7iA988XF0W9fUYKleImGgxOef4TCgwGJ7VaGyvEDczJWTDsw62GGmEjuElJ6QjXpYatPPrFBCQmNiPprqG7p3dw8eEoJ2f+HxwJk8NyraysuRilrYFdOWpY5JULl+zBHvyIH7EWa/ECXkAucqEKEvgOeHI+aqDB6tVXYNWqhQCGhvQnF7k+ZD2/FPml5qDsr2zABqQgJdrFiLiMtIfIy3Zsx0qshAUWJCEJDWiACy4kIAGf4lN8ja+jXcQhlWAkee9vWBhw+3ZsQbJqNJQIPAX8cNVpeO3tFLx18D/ytgQkYFvXukGX1VsMBicq334Ee387CrGx6fixoQm70jy5Enfs+GdY7qGFFvuwT/6tgQb7sR/bsA0FKEAlKtGCliHtm1JSOnCkfiNSYjZjQ5cVu+xbcZAKWBRJSD15J9SJTdjYvQdWOLCpS43H7v0bWsY8grULFVjrXojU1GOwbt0laHr1A8RtXY2N/9mKfZvaPM8br8XYolvxpwfewxnnrIBGbcUkTEIDGnyIjf676vAlndvGNXivOBej4MJ9Fef47JMI4+LjS+RtReIK7Nr1NWJj7fjs+4vw1VeLR/KJB5Cwap+HszZutbb75AGK1gpytbiNFks9lUqdT16WSPlZB4p7G46r50qljmXiOo4Xy6hQqIZlGcMBCyxsRzvLcq4OuD8JSSxC0dDVO5SsRCVzkMMSlHA0RhMAc5Eb9nKEIwWHTmen3T6j175KIhcYQXjRjnaaYIp6OYYCh2v/M5zggovpSB/0dTTQsBSlzERm1J8J8Fj2isWSiN4jDWl9psJITGyW/65GddhjPfc0echZWsXjLBJX0GjMpUpl5N0V57JVPO5z7EDnN7Wo9bEeBiJFUkHFMpRxDMYM6nlCsSxqtTae5bqbT1WdzsljVvC7+haekv8IS8U1zBcXcf/+tZyW+zzPct3NRvEgU1I6GB9fwoXF17NNPCn3K9LcTwstc5BDNdQ+HAeSZVYJJdvQRj30rEb1LyLXrcMxh0eIl/l53SQuLrmaE8RzPvsDxWIajbnU6x0+812rtT3qzzJc0KtlUdK8tdqf6XdVKiOysuYGPedw0MZ7rtKZzTWwWtuxsfB7XP3Z8QA8qxMxMbp+XTdPLEZcnAsKhWrA6TKqxC14b9UsqFRGmM01+G3qnwB43ktP32opNcdARK02yX8HinkcyOp5pFMAdHfvhXvHy3j9+9kgDx62K/xbsAX/wr9g/OoxxCAGLnGZz34ddDgQMzRZcVKQgla04sef/iUiUU6RYIcdyRoBE0zQYeBt0VsGQoPdU/buXYPdu7/16dd6SqA4n/5Kz288NXUqACA7+2wYDD9bYL1XOPsSvd4BIRbK37b3d3ooyFt4C6UohQmmaBcl4nK49j/DRapRjRSkDDgliwoqZCAD1ahGAxrwHb6DA47wFnKA8uGq0/Dpqj8P+PycnAV9HuOGGxZYfNKR9BSDwYl28TSUSh000GA3dvvsH2zar2PWXg7yIHZiAzoPrkFn5xfQaKz41z6BXdjic+xAY8dWYzXykQ8AsMKKTfCfox7EQXyMjzEKo4JaW/sSPfR9nlsilqKzXQetcj9e3FWPHdyOS7f+Af88uBkWZKBKlYe/VizDv7o/wmv7d+L1VdOxfv0ydHZ+gff25ODeh2+Qr7Vly5sAgG51LH5bdDbSkIbfav6AUpSiAAXo3u2JxTTHleHf+DdKUYrVWA077AN6vlCl5zxPpTJCo7Fiklge0fsCnvaoUhmRoinBC193oPUbAx7Z3YWnCv6AY3OfRZ5YDK3WBr0uQz7HbK4BAHR2foHdu7/1me9u2vRyxMs8XKQvL0YFPFrjiAQQlcooT057BsqqVEYolbqQlWONxopPKyvx640NAICTDGpc4X4NoxIm9pl/xWjMhVptgtlcg2++WRo0aFehUCEuzoWDB7dh7951HuXprTyk1X0e6iNDoVCFdZJjNtcgJsaIzs4vZHKgSEqjeBD/2XwTtmx587CfrCUiEVWa8Vix/zHsx344nfPx9deXoB71+DJuH/ZwJzo7vwjb/bTQIh7xyEIWtNAiBjHYhm34FJ9CAQWmYirexts4gANwwAEVVPgn/gkBAR10OIiD+AAfIJp5zAYq3n1BX6LV2rBvX3jdtYDDh6wqEYnIRCZiEYt38W6fZE0jMiKBRAklXHBBCy0+wAe9HhuDGKQhDYlIhAUWHMABdKEL67AObrixF3uhgQZlKMO7GJ7kaGlp0+F2P9jrMQqFCv+v8Hr8a6/AM6ta+rymDjrUoBav4hW/ffHxJTg360TMrl6I5pV/Q/yqJ/BGuJhnfpLxYhm+3LcMJyQU4+//OhUWSz3IgwEJ6gY6N1FAgWY0YyVWYizG4p/4J/YEYelJRzoMMOAL9G/cTEEKXHDhbbwd9No6nR1NGbdgWfbpeHrzUbhgWwbWbXsZhabZ+BH/ghFWGGHFJnyLPV0bsHr1FT7nn1bwAK7MPRvNr4zHmq3L8SN+RLt4GruxBYnIxJ2Jf8HEd4Cv8TVcmlp8uf8D7NHqkbcvGSaYYIAB3+E7mGHGKwHed7ilRtyBd1edPOjrpKZOxdq1j/Z6jEKhQnr6TGza9DKSkzuwb986rF+/TJ4nGwxOzBr9N3RBiWWd72DNmrt8xvPExGZs3vzqoMt6uEvUzZvDDaXimn4dn5Exi2q1iUZjLg0GT3C2lAcH8LhPxMW5OGXMS3SJy3hK/iPc3FjFnJwFnJr7IqvELVQqdQHTcsTFudgg7mezeDjk8rSJJwl4XFm8t3uX6XBFpF13hht+hV9xFEb5bBuFUZxoWxTW+6QghW1oYy5ymYIUAh73Fu9j8pHPY3Esc5ErU9v3LFcVqny2xSDGj2BAqdDRAANNMDEJSUxFKtOQxlEYxXSksw51rEBobXmwbvFKpY5arc3HBcpojH7+ysMBiUjkOIxjHOKiXpYRHLooR7kPcZICCiYhiVnIYiEK2YAGNqKRWcjq1QXaCCPLUBaVZ+hJ5lIpbhrwtRrE/f06vgIVjEOcDymcWm2iVmvjvMI7uec3aWwXT/eLvKW/8CbiCbf7diYymY1sKqEMKe9iE5pCdtXUQcca1LASlX7joV89ixt4fdnf+VrN8ZwgnmOpuIZpadOZljadreJxVoqbmJOzgDPzn/AjZklPn0mt1kYVtOxQ/cZvHAVAK6zMRz4zkcljcSyPwBGchEmsQx2PwBGcgAlMRSqzkR3RtqxQqMJGWhgKQY3RmMtm8TDLxHXU6x08v+hGKhQqv/luaurUiD734Y5fjGVRo7HC6fhzr0G9Go21T0uhweDE7t3fyitc74+disZP3kVXVydstsl4zN6J0za3Yhe24PNVC5AnFkMDPVa7b4FKZYTFUo9t2z6EzXoExqrG4I2D/0Zn5xeYbD4at331J1Q5liIeNjy3qj3kMvUUb8tjRsasQ57+eESCSz7ysR3b8SN+xKLia3H+P+dg7cfN+OLJv+Goi6djd9eWoKuxkgvjwYOdva7YKqDAhJhjsLzrSXSju9eyuODCw3g46DGTky7Ezu0fobtrN7q6duMgDkIHHVZjNb7DdwAABxxwwon1WI8DOAAttChEIVZjNSyw4EW8iLEY2+cqd39ps4PJQL7BEQlNYhGLYhQPW2vOiAx/UUCBWtTKpF8EsQmbsB3bsQu70IlOHETfFqksZEEBhU8Ko0NJVCojYmKM6Orq7Je7fjzikYMcfISP/PZZLPXYsuVNpCIVpSjDc3g26HWysubC7X603x5E4eqng0kpSvE1voYFFsQgBt/gm16PV0ONClRADTUO4AA+xIcBU64UoABWWPFP/BPbsb3Xa+r1DjTab8KM+Ffwm1EPQLXdgBnrrsQ33WuxD52YadyDOzrViIUJ6cp0PPrFBPlck6kC9uTf4lv3HcjpjMVBHESCMglvdvtaBxfmX4NP/7sSX+JLWGGFFlpsxVbswz5sxmYICGzCJnyGz/pRe/0TaaxsEPfjjVXHDepacXEu7NzZd1lX17cjbuzraHxqAVTQoV6diZf3fQKt0oT/rJo/qDKMyM9y2CuLGo0VVms7tm17F7t3fxtw4tcftzGlUgezuQZ79nwLYZ+LybFqHB/3BC7Z8kc8vv56bN78KjrEK+jEJiihwt8sT2DW5kysXfsodu36GjsbXHhuTzMKNV+iZbUW+/atw7ZtH+Ivrptx1/pHoFTq8O3YD/HEmmk49avXsG3bh5GolhE5TCQf+diP/ehCF2IRi//iv6gUN+HzVWfj+rSZOHPrC9i+91s/ZVChUCEpqR1ppolYvfa2XjtlM8yww45/499BjzHCiEpUYhu2YSM29pq/K5AUoACJSEQMYrBdsQv/UX6JfV2eAVgJJVrRivVYjybVRHyr242tnf/EW3jL7zqB3EUjPRkZkcFJPeqxDut+cQyWIzK8pBnNeA2v4VB0k5fkLNfduOqzE/t9XgtasTKIa+IojIIddnyNr7EFW8JaP43iQXy26To5/k6ns0OjsYaNCRUAnHBiN3bDCSfewlv9cntPQAIqUYkP8IGPQliGMuzADnyNr6FSGXHgwE4oFMFzyFqt7fid7USc3/ZHfPHeZBRqvsRu6tC+/igkw4mjjV/hyc5sdOEgNuEbfL7q55hTvd4BjcaK4rhfI/mHj7EGa/Ae3gu4cKvRWJG3fxS2YRv2Yz/ykIeP8BG60Y0SlOCf+Cd2YmfIzz8QaRNPYsWqyWgWD+PVVb/12adSGdHVtbdPd+JqcRveWzULFks99u/f1Gs4jUKhQkXOddiDHfj08z/hiLyVuCF5CTo2NPvU44gMToaGBSNKotXacJlrHlKMtdi9+1s5xjBQAG6o0t29F9u3f4gDB7Zhmp74fxmXIvbqA3jv4HfYu3cNutuc+LzrOegQjwsTH4JdtRajFEXQam2YlPMCYpI24srtLpgbX8J7zu3YVLERmxrKMC3uWWi1Nqxfvwwd/7kB7Y3XY+vWD5CY2Ix8cRFaxePhrp4ROQzkC3whr4TmIQ9pSMMHq2ajE52Y474bR+r+AIPCJJO5SMQosbF27Nn8EfTfvQSxPwVJxtKg90hEIrb0IBvoKWaY4YYbn+EzjMZon329ES3t+fUoKJU6/E+/C6/jdazESnzM92VFEQC60Y038Sa2YRtePfg89nZ+iS/xZcDrBVpRH1EUh7e8hbcQgxhUojLaRRmRX6iooMJBHDykFUW7fQb+seGBAZ27CRthRWACujLdBLyP97EDO/Ab/AZpSBtMMWXRaKx477u5sqIIeMjHDh7cFpbrS2KEUY4j7G989HZsx7f41oeQqxSl2Imd8uLWwYOdUCgUqBP3BL3O5s2v4pv9dujXxaPunX8g/rUPYXv9TZxmPAA1dLh+5y58ufNh7MA6rN3wpM+5e/euQ+y2H2FZ8zHWYR3ewTuIUcdj7XkxcK8+FS5xGU7JfwRqtQmK/TuRghR8h+9ghRX/xX+xHduxEzvxBt5APvJRiMIBk/iEIm9+NxupqVNlRXHymBXyvr68mCT5evN9ADwkPn3xLpAH8cGq2di+579Y1TgFp5mexZEbGrFxy6sDf4gR8ZPDWlksz7wEcz8+F5+sOgPAz0phTwbBXbtCX9FOTZ2KnKz5eLT0dzjx+HOwfP0RSC17FUfrDCgetQCdGVvw54QEbMa3OG/zNKQoN2EDvobRmIvbHroIW6fuwvPvJsD831So//gR1teuRsGqNEz6ejd++OEukAfx8qpfYeXrs7H2i+Pw7wVvIxEO7MQGmEwV/a6DwbKVjcjwlm5043N8jqd/+meCBa1ohR567MROPL71b3jsz//Arh1r8OOLNpjNNYhDHPJ3W3GSeTH+s+9NHNi3Edl7EnCc5VJkIlO+tgIKmXFwMzb3Wo41WAM77HDBhR/wg28ZvZQ1SWmV2EBjH/sR3d17sXv3t37XlFiDFQoV9mIvfsAP+AyfYSVWojHh5IAMqxKjV07OApl9tDd5rOoM6HSRZYcLVdLTZyIxsVn+rdPZodPZhyRHZjSFIL7El9iJnchBTrSLA5XKiFPyH4l2MUZkCMUGG9Yh/KRUg5X+jN9r1tyHDRteGNB9vsE3fot8AGCAAZq922GEEWlIw0f4CHbYkYWsQZXX/bYL++os6OryX9zzHguKxBWDnsOYYMJWbEUXulCHOp8xLhTJQAa+x/fQQIMmNGEbtuErfAXAo/DOcf0DAPDWqhOCl8FUgcrYzxD74Fqf7ad9tAB3Xehh2D8jpQ5KqJCQUOEzDmR3p6MMZejkNryDd7C07GLMGXM1KPRIzboBZ8XvQIyiGzExRuzDPvyIH1GOclhg8WvTaqixBVvQhrZ+1UF/ZN++dT6ENE9+2dYvxm/AQzhzlFgZ8vEmUwX279+EORv/iFUHHLAiCxZLfb/uOSJ9S/QDJ8MY0JyZOZun5D8SkIQiEIFMKPeXcq5NFC/Q/UQiSXL79ufpvjGWxWIJ3V+eyJn5T/CBynlcXHI1V9WN555fj+KS0kv5WNUZ1OsdBMAzXfdyefXJJMk6cQ8zMmax83fJLBXXMCdnAU2mCh440sHV9e08MGk0l5ZdzHbxNNvF00xJ6QiJrEOrtVGrtfk865QxL/X6/IcLRohHPDDBxEbdMfLvDGTwBMtVnG2+jRN0v+NYjGUc4miEkeMxnm1oYz7yCYBlKGMpSmmGmQ1ooEMdep5ECyzMQAYVUPR6XHr6TJ/fA8mflY1spiNdvlfPXKAS0VRvUKtNfmWJFuLjS1gtbmNcnIsGg5Nt4klOzX2R+eIiajRWJidPDMt9AuVMHU5oQYsf4dEIRhBpNKLxF9/uWtBCAwzy72pUsxKVTEISAXAsxlIDDQGwGc00KMwDvpdWa2NKSgfN5po+j83OPnvA91FDzbEYK/9WQslmNPvkI+wLuchlKUrZjvYBk3EpFCp+Wns0A8nGs2L5fPUp3HSm3i+/b5oik8fjeFajul9lzkY24xEvk+444GAb2tiABjkvsn6AzzKYeVajeDCk44RYyBKxtF/XVqmMNBpzaTbX0GjMDRvJzgg8GBaWxXClOJBWoG79728Cmq69A68lV1SlUtfn/b/77iZotTY8P+oMwKTBxo03IT5+ItSrgDPit+DyX7di1cHteGtPGe7ZvRXG9uXQPboGJ8Y9hnM2a9DVtReJic2447tL8f+2VqB1zGMAgHdvfQZUdWPFu6l4bc7l+O/5n2K7cwMyDd/g6c1HISVmE4q1m1Gg2Y6ChJNDyqm2b9867Nu3Djqdx4KTnj4T3VBi/fqrhiR1RbREr3cgLW06MjNno0bcEe3iRFUO4ADiujQYhVFIRSp2Yifu2XIWbt96KpbvvR/v4l0kIUkmiVmBFVBDjUIU4mN4YiJcpin4HKvw7YF/hXzfLdiC7/E9grlySd/nDz/cJW+rFXcFPLYvccMNBxxoQQsKUYiuAzt89gfyFpDyKUly4MA2n7JEU/bv34RYxEOtNuG94lxoYURnN/HF14sAwM9ioNPZER9fErBP6C1/5HBPvbEWa38RORhHZPiIER6LTCASk1+SvIN3UItaGGBAAhJAEB/gA2zERgCAXpmA/dgPAHgf7+PO9N/AaMwN+freFsJ9+9Zh69Z3ffqjuDhXwPMSYhwDztFsgcVzbcQB8HjifIWv4IQz6Dk9PU2+xJfYj/1YiZUDjvcjD+LXG/L8tm+Yr4HBnYDiWfdj/5QkfNb4mGxRU0CBiXF/xKt4Fe/hvZBdaJVQQgstKlCBsRiLQhQiBzlYiZV4A2+gG93Ygi2wIGFAz9KbW2hvXjCZmbPx9jez+rx+RsYsrF37KP65am6/ynXwYCc6O79AQkIFyIOIjXX06/wR6VuirrF6Q6UyEvBN86DV2no9Jy7ORZIRSw2Rk7OAe4+xc3tjOTUaK93vV9H9TjGfqjqd84tu5fyiW3mEeJkGg9OnrImJzVSpjHLqjGpxG7VaG9PTZ3L37n+TJKflPs9lVbPp/ud4bpyn457fpHFDQw2vLbuQR4iXeV7RzSTJCnEDP6qdwq5x2Vx3roqXl15OjcYqW0XVapMP/fQvDbliEYvFEk4es4KbG6tot8/wO8Zmm9yvVApSWzwUoYKK5ShnC1pYghK2oY2pSKUCClpgYStafai+9dCzHe0DuldcnIsAWCaui8qzpiKVbWiTU3pEAuH0fgh0rTpxj7wyqtPZqdc7QvIEUChUcjsVYiEtlvqwU88PJRKRyGIUR70c4X7nIxi+qEQl4xEf9XIEwkC8LgaDWEUCx2Ec29Dmk/5ICSWbVUf6lKkGNTQi+BipVOqYlTWXFks9C8QlrBf39TqmThQv9DnX6y8MMHAmZrId7T7vOFgKDZXK6JfGJFwoEUv9rIqXllxJ97U6uq/W+my32SZ7ygNtwGsF8xBJRSpb0cp0pBMA7bDLlmFvWGChC65BP5PkNdcTxWIJ88VFUWnDEsLdlg5X9GOci35heyu4xVLfq9l7WdVsZmTMCkkJOCHvKQIe5S+Usnhfc09TITdvvpd14h7unmaj+40snum6l/HxJTQac1kn7qHDMcfn45Em0T3hfskmdwr14j66xGV0//e3JMltp5i4ur6dj1WdwWNzn+Wxuc/SZKpgWtp0uj8YywOTRnPTmXruaSqk+1IVFxVfy7Ncd//iXTCFWEiFQuXTQeQK31yDWq2N84tuZYO4P2odWLSghJJH6E7kyTiZSijZgAa/3GTjFBP7dCHtiVC/pd6QkTFr0NdQQMFfJcwLODAOJ/TVMSsUql6PCbZPclON1gDZ33yWwZ5jXuGdbEDDkL3HEYXwlw0ttBHNH3goIgYxAceBZuV4n99xiGM1qnu9VrN4mBPFC1xVN15eEAt2bI24IyS31P4iE5lUQ812tMtutk1oGfJ6VShUfL76FLpv1tP9iJnu98pIku4r1dw9zcae0tMlNRRIi8AmmFiGMk7ERCYjOeA7rkPdoJ+p5/t8qup0v2Os1oEtQh/qOJSNDUEQfOdgElqrVEaq1SZ5Um6x1FOp1MlKTTgqckbeMxGvIIulngC4e5qNn9YeTcBjMXQ45tB9rY57j7FzdsFDnJn/BO+uOJft4uler2cyVdD96SRPJ/HNHC4qvpb79v2PGzfeSvcFCr4/dip3T7Nx7zF2rqlvlGOqVCojFxZfzzdrjuON5Rfw/bFTeULeU5wy5qWofYzels3hiC2nGz31fKGSLnEZbbbJdInLmJU1l0IsZJ5Y3G9r9KGsZCqVOmYjm+1oZz3qfVaOAXAURrESlX7n6XR2n+cmGfVnCfh8ULINbVEvR18oEJfICxmBLODB0HM1WVIMk5MnRm1gSkxspslUwYnihZBW5BUKFZ3O+f7vzqt9xSCGTWiiE85+L15ECt51L/V5g4mlGsHwQDnKaYEl6uU4FNCkaPXfFsRCp1TqmC8uYnr6TLpvN9L9bBLrxD19zlU0GqtPX9af/rEvaKFlm9KzqJaFLJagZEjrLy7ORau1nVlZc9khXuGBSaO559ej6HDM4Ql5TwWMZ+ypPKelTSfgiRt0OOawTFwn11cyklmjqGMrWlmCEgplAWMQw6Mw+ef3AiXrUc/ZeQ+wCU1hmb8dhkpR2DFYa3Vq6tSIem7Z7TNYJ+7p67jw3tRqbadCoaLZXEOVyki93kGt1sYGcT8B8NKSKwmAi0uu7vNavTXkwSiyEjIyZsnuEb0dl5U1l2/WHOejnNpsk/lA5TzGxbmo09l5lutuZmefzXmFd/ZJIrG5sYokub8p36djcN/ucYE4reABVolbWCVu8Tlv3bkquVNxv+2i+/0qLq8+mVu2PMLO3yXTaMwdEsVRp7MzI2MWa8QdtNkmh8UyFIl2KK3WuT9q4tqGOn5eN4mTxHK6xGV8f+xUzsh7hllZc5mTs4CJic0EeidG0WisLBXXsEbccdhOFB1wsBCFUS/HQFGHOtagZtiTVaSmTmVy8sQ+J0PerqgKhYoGg5MajVVWrqK1eGE213CCeI5arc1vgueNnv10b316z34zC1lsQxuzkR3Wsvcs66G8ADSCgUMDTVBlZwT+aESjz+KNHnpWIPBi6ySxnLun2Vgr7qLNNpk22+SwfmcDVXLKUS6HK+Qil5N0J7Da8OuAi1LBLHuDUbDS02cyM3O2HF5Eku6HTH5K4v9W/o8rzlvBd69+l4mWZjqd89kmniTg6Se95ynSdg00bFceQT308j4bbD7j+ViMZQUqWIlKFqOYk8TysBDB9KdOBmIxHUHkoFCoeKbr3qCekF4I303zxGKZ1VPa5v7qZJ8JQ7FY0mfBXeIyeQXFe3u4B/UCcUnIxyYnT+TmPxm47RQTAY/7neTWepRYyXpxH5eWXcw9TYXU6x2yz3kwuB8x031nHN1XquUOYkXNTHnyBXgsB/XiPsbHl1ChUNFozOXsgod+7mQ+nUT3pSqeU3h72NgSQ8FTVafT/ZWH1XX79ue5pPTSYekGe17Rzdz+ezN3nmil+wET3RcouPZ8JTc01NB9fSy3N5ZzXuGd8v/nFN7Oa8suZJ24R14JsljqeabrXm79YwLfGTuNy6pmc925njoP5q9/qKNdfUzUy9AXJonlQfclIIHtaGcsYqNezmAoFdeEtMji3YH37P/S02fKik+g+EZp0S7cZTcYnFQqdfK9A7m+5ouLmJw8sd/9QiClsxCFYYmv6e0+SqWud/dfKFiedSmTkcwUpDAFKbTB1mesW6Ti6EcweFSjmiaYol6OQwWjMEr+DhVQsAIVzERm0OOjwbzc14RXYkOVWE0VUNAOO49KOEuO4Z8klnOieCFoiMVAwgQk6PUO6vUOZmbO5hzXP7j992Z5Prdnz+dcu/ZivlX5Wz71pwXs7u7m9299z/HWcxgfX8Kdxyfxgcp5MktooAVrozHXpw5UULFdM0X+XYEKWmDhDMxgfEwS88VFPuOQJJF+T9HiNxiBL1Qqozx+h6BfDf6GarWJeWIxG8WDLBJXcIJ4jlXiFtaIO/hw5Vzq9Y6gBZEGae/B2/uDS02dSq3WRrO5hsuqPCsS7teCd1D9xebGqn49Z8+yB9vXFyaPWeHjp768+mS/e5WKa3h92d996P3d98ZTiIWMjy+hTmenSmXkKfmP9OvebBGcMuYl5onF/bbQlopreGP5BdyxYyWXVc3m8uqTeWP5BTyv6OaINehQ0PM5msXDXFU3ng9XzqX74hi6V6Ryx0kWdv4ume638uR63zhPx0liOdvF08zKmkv37UYeONLBSnETZxc8RPcHY7l+/VXccZKFC4uv5+KSq9nd5uT8olsZF+c6LIOo65WtfVrmUlOnRr2cvUEPPaeZL2Cxqo6pSKUJJpajnPWoZw1qmIlMaoOQBwwVXOKyXvdvbyz3W3HecrpvP5mWNl22igdCZ+c7QfcZjbnydSW3egCsFXf1Wi6NxsqZ+U/4uNybzTVUKFS02SbTam3nBPEcFQpVn/1iqAuAuchlHepk6v7BQqOx9hnGYIKJVapmTtAdywY0sAxlHIMxMnKQwwY0MAMZfucOR2+LEfwMM8x9xtuNwB/NyvFsQhNbYiZyFEZFvTzeONN1L4HgpCsSYhHrk04D8Lhw/ta8kPGKRN5S/lcuLL5evh7gWRCLjy8JuJg1UEuj0ZjLruZcui9QcHNjFS8vvZyxKiunmv/KJK2gRmNli3iU4zCOCbDw9ooFnDxmBTvEK0GvGWhxqi3l/7FB2cY4xNEMM6ti6jll9PPMFxcxM3O2Tx+97+j0iCuMWVlzSfIXTcg4XJCVNbc/KfUGfiPpI9Hp7MzMnE0hFtJun8FqcZvH8vViipxXxW6f4dMobyy/gPHxJXRfpSFJTh6zgjqdnbliEdPSpsuT8BU1MyNaWaXiGp/fUhmleDyTqcJndbyvmMT+ol7cR/cjZr5Zc9yAFY+srLkEPKsEReIKH6tmevpMnwnZ5aWXc2b+E6wStzBXLOq3dUyhULFYLGGNuIMmUwWdzvnMyVngV4+RREbGLJ7lultWmN8ZO83T3lafyjX1jZyZ/wSPzX2WbBFce14MP6qdwrNcd/PuinO54ySLx7J4qepnC+2zSVxccjVn5j/Bcwpv5+/zH6NLXMYycZ0n3uIqDd+sOY5rG+o87GUXKnlO4e1yLJ9abaLJVCEjJaWDRmMubbbJcnvq6Tao0Vhl6+VwUzjb0U4Vhm8sak9saAhsPYtBDK2wMgc5rEQlzTBTCSW10NIBB8diLI8yzmEhCn3yi0UbOTkLOL/oVhaLJawT99B9Y6yPwpiTs0B2X9Vqbdw4TyfHVveE0ZhLvd4h9xHx8SU0GJxcVTfepz/uGpctX39/U77fdQLFGUo4Qrwsn9tz4S+cSEACW9Ea0UmqFlrmI58taGEZyvq0HCqgYDWqacfhncP2cEMrWsO28PBLggKKqMcRm801Ph4TOuiYratmIhKphZbd3d1sF09TpTLy87pJfufroGMV/I0EWmh5rHkxs1NP4KUlVzIra26fsWYDmT8BHo+ljIxZJMl28TTPct3Nywov4/HmK5lm8OUNMMDAClSwGc0UEAMam/XQsxrVPApH8atXfssSsZQZGbNkDxFvK2W9uI+f1h7tN67a7TPkOVeo9w02FoRTIZW8DtVqkx+/wnCCdx2r1SZ53heOkLqBQqUyskLcEOrxoV1Uo7Fyz69HMTl5IgvEJXKaCInifWHx9UxNncqMjFlMTGyWJyJqtcmvwajVJp6Q9xQLxCW9uk9WiBtkf2zg53iycFIb9+YuGs2XGCr0eoccM5SWNp0HjnTwxvILaLfPYEpKB+PiXCwT18nvqV08zTbxJHPFIi4tu7jXawdzzZLuF05ym9TUqUxN9cQR6vUO5onFtNkmy/fwdq3Q6excXn0yu8Zls1E8SPeH9dy58w26/zOFreJxuX0Ec0nRam3MzJzNuyvO5fr1V5EkN/xFw5n5T/Dasgv5Ue0U7p5m443lF3DXsSncdKaeU3NfZKm4hq3icX5X38J156r8YkoD1Z/U9nNyFlCtNkWMljucCCWOJ5hyMtwgtZ/LSy8PekwiEtmABuYgR25fE8RzUSlvrbjLz5pYIpby+rK/yxOk2QUPcc9v0uSyNooH5YE3LW06dx6fxDyxmO53ijkj7xl2de3xuV6gBS+NxspisYQkeULeU7K1MtSB9/f5jzFPLCYAXlxyVUjn7D2m/wqW5P5WgII+j0tAAjOQwUIUsgpVrEIVR2M0YxHrpygclfMyS1HKBjTQhv4t3iigYCv8yT9GMDwhWYWjXY4RDAwajZWr6n5mZs1AButQR5eihOPiT+XkxPN5VMJZXP6niezu6vY7vzcWVz30PMZyHs3mGlaIG+hwzAlr2a3WdpaKa7jr2BS6n00iSf63dhLL4qbwqfQTmWHtCOq6r4KKJShh3k9932DCYHLFol6VvoyMWQFDPerFfWFRxrwl1HOksdxun+HHLSHN1aVUdeF8Z6HOdfV6h89iaUbGLMbHl3B+0a0sFdewTFzHZVWzuapuPN3X6uTnf7hyrqw4arU2FoslQ0JaFxfn8tG/QggZCe3Cer2DJPlmzXHyQxoMThqNuTQYnLRa25mdfTYdjjnUam1Uq03UaKzUam1BLSfp6TOp0VhpMlX4VUxKSodssYlkhUmWz0MZCoWKer2DdvsMNoj7mZOzIGxKSUpKR69ubuGA0zmfcXEu1ol7uPGsWG5urOLU3Bf7/Fhm5D3DxMRmpqfP7FdslFKpo90+g+3iad5YfgHdFyrpvkrDA0c6+HDlXM4rvJMbGmo4x/UPziu8k7un2ThlzEvUaKzsEK9wefXJ/Ky2g+cX3dhrhz1cV7j6Qg1qenXRDEd86lAom5mZs/u14POb1NtZgxrqNKkRK1NvsNkmky3CY+3+qImbNt1J90MmLiq+ttfzXOIyeeHi4pKr6L5Zz3pxH88pvJ314j5aLPWyZVFidO6JuDgXjcZceZHvqarTZS+Ci0uu4nlFNweNNzeba5iZOTvkiZX3wFsmruP69aEpl97IQQ4b0egXc6aDjoUolBkBHXDQDDO10FIHHTORyUpUcizGsgUtLEc5G9DARjRylGoMgYFNwgpVY5mFrID7EpDQp3I7gqGBBZawpAwYQXRRI+7g1q1PEPB88+MUExmDGB8eilSk8u0r32Z3dzcbxP2Mi3NRo7HyCPEya1Aj9x09x4hCFNIZ10KjMZdGY67PPCTYuNUbMR7g8b6QPEKczvke99MLlTyz4B6ebr2VTjhp0HuuEWzecwyOYTnKZS+YwSzWm801MumkhEjOV3rWG0meX3QjSdJun+EXWy/VgUKhovuZJLmOP6+bRJXKSIulXr6mUqnjsbnPRqzsyckTQ7am1ol7OGXMS3y++hTeWH6Bh5CyRVCIhUxLm87s7LPpfj7ZR1l+qup01ov7+Hz1KSTJA0c6uKJmJt+sOc7v+oGIGC2Wep5W8EBI5Qs0H+oH43DfB1mt7Xygch4PHtxK9/Wx3DhPR6dzPvfvX0u3++8sE9fR6ZzPlJQOVoqbZN/u3lIrTBQv8JzC2xkfX0KlUidbYULVpodzyoZoITGxmVlZc30axGCCzKXOLZivfjhQLW6jXu+g0ZjL+yrOofuZJL4zdhqnjHnJ5579cX0IFcnJE5mVNZdWaztLxFK2i6dZJW5ho3iQzeJhloilrBa3sVbcJX+cCoWKOp2dDeJ+2WVPWh2Ljy/plXglXIi0xbtO0RgxF63+sPWG8xvvycAmLRL1tA6nIY2t5lMj/g6BwJZvKY5REveVobO61og75L8tlnourz5Zji2V+oFW8XjACY9abaLZXMPxYpnPiq/TOZ+5YpFfm5PiaaTfn9Yeza2nxge8tnfKJOBn9r7Bul/HIpYVqGATmliOcjahiWMxNmBesWCIRzxjEOOzbaAr9nWoYzayZQbCJjTJ7qz1qOdojB6SdjWCwJBy7R1KLvYjCA6Scv9mgYVtyiNkkhoJozGaFcqxcgxxXJyL7rvjmIQkFqo81sWe8fc22Hwsz96hJIHmQX0ZNLKzz5b71LVrL2atuEueoD/7qxYmIcln8h9o3EtFKqdq/xBVF2BvFu5wQFrA9H6fPRXYzs535LqrFDexUTzI7Y3l1GptfeYkjgR6u19GxiwuLbuY7i9P9IzdL9nodM6XlT6t1kaDwckW8Sg/r5vE7dufl59tc2MVH6s6gzk5C2g05nLDXzTccZKFu6fZaDTmMj19JjMyZsmKcpm4jrliEWcXPESNxsplVbO56Uy97NVTJ+7h5DErgr5H73acnj6TDsecUOb4wXdK8W45OQvkh1p3roo7j0/igSM9lsYdJ1nYIh7l5DErOCPvGVos9TSba+TGH6wAaWnT+Xz1KSEriKmpU2k05vq8rOGiMA4XC1I4Y9+MxlympHQwLW16RM3hswseku81I+8ZbviLhndXnMuLS64K+/vt7XolYikLxCW022dQo7HSbp8hpzfoycwLeCwi48Uyuh/xsJl1tznZ2VjCYrEk4u0h0iys45RHMhGJsoLg7VI+kOu574wL2TWxPxhIu0xNndonsUwpSjlR67+qN5Qwm2vkyUl/0k3MLnhoUHWpVOq4qm489+79igC4tOxi7j3GTveH9XI5ysR1rBa3+Zy/4yRPrroicYXP9u/qW5gnFvu8q+TkiX7HhYJgbksxiKEeej+lb6ihhJKjMZo5yAnoytqCFiYgIapl/KVCAcVI/R9mcF+opM02WSaqSkYyW2L8FUaXtpHVGOujaF1XsojNMRMCXjcNaX5uypJCqFIZ/ayIvY1DDsccThLLfSxJ5xfd6CkXioJ6I3ijKe54FqDAp3/T6x10/+9Mziu8Myzed33NtYItUPc2F/FOjxesjN5z1kB9e3f3AbnecsUirqobP6Qs9AuLr+eGhhpubqxipbiJQixkevpMpqVNp9M5X6631NSpLBZLmCcW8/LSy7nzRCvrxX3MFxeRJCeI55iY2Cy7ybaJJ+Xn6mws4QTxHOvFfczJWcDf5z9G9998XXUl8V70Tkxs9kl7UiFu4LKq2awT93DrqfGMi3P5vdePaqfI53gb8wLNcQMg+E7po+gp7n8f7fP7vKKb5bg47xQXPQuqVOrkxiGx53k31lpxFxvFg7LrqvudYt5XcQ7Pct3NzMzZdL8peELeUz7soBL6cmvzLtN4sSwsqSaGi5LoXYfhupb0bFJcajjLKbl22O0zuKa+kXdXnMuUlA7WiDs4NfdFnpD3FG8p/2vY68dozA36zgLRBwcaBKTJeZG4ghZLvWci/ZCJ7qesdF8cw01n6ukSl7FZPCzHcPWF/nb2O06yRCQlgoRc5PYZ0xOq4qjXO2TvgZ77wmEhda+MjMvolNQb+h27NlAMhIo9X1zErX9M8Ev/E6hvDITTCh7g/KJbeUv5X/3eZZ5YTPcbWXJfvva8GOp0dna3Obmw+Ho+XDnX7z2SpF7voMHgYQoGPNbc9euv4vyiW+Vt0r28mUhDUfolz4K4OBfPct3d7zo+SqyUY5WB3tlK+2KDHSj00LMGNXSid5e1EYQfNahhKqLjXj6CyEGlMnJ2wUOylSoZyWzHBDk1hoTKtHlsVrTJLN9KpY6lKA2Y+kNAyG2lZ/8r9VWhzolMpgouKr5WJuEjyTmuf1Coy1iO8j7PN8PMo5P+7hcu9XndJM9c/IsZEXXBHCzc/zuz1zAKyarr7XkizW2kOt637weSpEtcxlyxiM3i4X55IYaKYHOUs1x3M08sJunhD1jbUOej/0htJD19po8HWnLyRDaI+5mWNp3um/W0WttlL7309Jny+e+PnUqS3Ljx1oAKYk9pFg9zjusfLBPX8YHKeUxMbOYt5X+lzTaZJWIpK8VNAZ9v/1EZdN86KCK/vg9KTGzutfDulaksEUtl07D3C+8Jg8HJlJQOpqZOpV7vYJm4jotLrqb73ni54qUPzGabTJKcXfAQzeYaajTWASX01GisPsqkNKEajrkBhxPUalPEFGKrtZ3H5j5L9w/ncvc0G7Oy5vKcwts5M/8JtokneVrBAwNK7TGUkFgmFxVfy1bxOCeKF7h7mk1W/rxdX3qeOxjFPj6+JGCOpVDRm/tGHOLYgAYCgVebNBprxNMChKrwRBI66Pzo1YcSPV10+kIo32lKSge1Whsnihf8+nDvVWAp16vDMYepqVM5QTwnx1X0dQ9pwTDQPrO5JpTEv73io9opQe/bc9vOE60+Y9Tmxiq6f/wb3e+VyflyJUiERt4DfqTQir5T04wgfChE4WFNaKPV2lgqrvHrA9Rqk8+3KMTCqOQ+jDSUSh01GivXnet5Vi20HIeJfnl2pfy73opkM5r94vPNMLMQhVQqdX79ikT6p1ComJExi8urffOIe3utHDy4lUtKLyXpIRVLSmxnsiaH5YZfsRa1IT3bxNjjeWT2MtaIOyjEQjqd8z1ZBJ5IlPu2JaWXRv0dBENa2nS6/zOF7s+P5bG5z8p15b34d2zus6wVd8nzJrO5hnliMU/Jf0TOZa7XO5iWNp0ZGbOYJxbTZKrwCfmpEDcMaq6YnX120DmVTmenVmujwzGH6ekzOb/oVtpsk3mUWMlLS67ktWUX0uGYQzIwWY/JVMGucdl8f+xUOa/h7/Mf87y8nxj7P6vt6FXHWnteDHft+oBdXXuo09npvlDJj2qnkCTbxJNyTK7V2s7ExGZaLPU+8zz3lWq6L47xhA5+1CTXKdAvj7HQK/TuinODPsyBIz3JRk2mCh+l7vO6ST6FVqmM3LDhRnmCsuV0IxcWX8+MjFnyy57j+geXV5/MeYV3yh+aTmeX8wr2NtE2GnP93DHVahOLxRL5vJSUDlos9cwVi3hpyZVR/6AiieFm/ZSg1drYKB7k7RULODX3Rdpsk1ktbmNW1lyZpj8ScYrhhtGYy+zss5mcPJF14h62iEeZljaddvsMarUexdH7HfTlKhxpBqyg7QRKpiOd7WinFlpOFC/QbK4ZlAW+L1dD6XsebBsNh0U90CJUu/KIqLyLzMzZ/Qk67xMk6b47jnuPsbNO3BOw/5ZcoyRlTiKrCdbfRtKy3dt73Xrqz6ksdDo7ry27UE71kZExiweOdPg8dzBx/6tDjpXPFxfxtIIHqNPZabNNpsMxhwXikogtilSggnroo9K2fmnIQx5LUBL1ckQSFks9X6s5Xs6/ZzA4h+T7HG5ITZ0qW1WMMLIeHgOBRmOVFQENNPyV/g/UQsuPaqfww9t+60c+pYKK4zCRCijksUkaB6UJdqm4hqXiGjnWS3Lps1jqOTP/Cdpsk3lfxTkkyY1fbORMy3V8/cLX+UD26SxOPD7k2MNRsSU80XoTVTFGmQAlkPRHYQzUr3rHn/vUhcooKxPBxlkpXKI/C4He7pst4lEuLL6enb9Lluu4RCzltNzn6f7PFD8eCCnlSIlYSqu1XTYwAT/PGYMpjsFiQ+vEPWwTTzIxsTngnEens/uE19ntM5iWNt0zlvz4Nz5WdQa7uw/4nWe1tpMtgu7Vp7JIXEGNxsoycR1J8pzC20mSk8Ry1ol75PayY8dKn3d7bO6zNJkquOMkC0kPyejU3BcJQCYJ0unsPsYdyThmMlVwVd14eU59WsEDslVzAHkuez/AW+tUKnXsKe4r1XR/Ook7TrJQr3dQq7X5BAwXiSuYKxbJ7JyXllzJzMzZ3HuMnXuaCvnO2Gl0f/dnTh6zgme67qVCoaJGY+W2U0w+9xkvlvlYLgeLuDhX1CbmI/gZFks9nc75tNkms0hcwfj4kkMmLYM3DAYn9XoHS8U11GptctvSam10icuGtYUU8Exgx2AMjfCUe/vvzYO6nkZjpXvNgiErfyS+5QIUMAlJUYmNHozluCckeaBynrxYsaepkO5nk3yOk9xZAE//KDGvBWq74XDj7+tdSvUeiI05NXUq3x87lblikcwEd3vFAjkVksTeHUx27/43byn/K48QL3NZ1WzuaSok4LEsVolbeGzus8wXF4XVyig9TyipaUYwOCih5FiMpYCIelkiCSlf755fj5IVRKVSxwNHOvrtnRBNhGNhRko75H4xhS5xGV1w0QWXrJilpHR4Yg5h4BGa4xiDGJblXMsCFLAe9T4WxlSkshKVzM4+W3Z/zMqaS4VCxQJxCV+rOZ5l4jqqVEZare0+4QCPVZ3h09ccl7iEq2rHDch9HgCnjrqHNaYTmZ19NpdXnxywP+sQr/QZiw/0vbDac4Feq7WFtJirUhnlOX5/x2KLpZ4z8p7hma57mZjYTKMxl8ViCU/Jf4T14j457EFKSxEoe4KEmflPcHV9O3dPs/mxc4c6jisUKp9FfSnVVEbGLDlOUbLaSwry+v9Ty+9COk+tNjE9fSYXFV/LdvE0OxtLWCVuoU5nJ0lu2nQnScrKcLFYwu42p7+OdWcczyu6me7vz6H7cjXd3/2Zz1efQvdVGj5VdTqvLbuQ7htjmZk5m/niIsbFuZiaOlVWRknKiipJajSeeMq1DT+zQt9esYDut/tU9oPvzBOLfRJHejMTbTpTT5IsEJewQtxAnc5Ou32GvFrb88V8Vuux5hWJK5iRMYvuNwXdN8ayVTzOZvEwx4tljI8vYZG4wkdDVip1PDBp9IAIEXrDiAtq/xEpFxabbTKdzvnypPBQfDcKhYqZmbP9Jpe9dVA94ySjqVA2Kz0spd6d3WAsu5L0Z8IyGKVssOROkmWxWTwsbzPAwLnWG5mo909SHy70hx1WgjQw94z79kZOzgLGxbm47RRTn/lUe0JiCY60O+Zg3q8UpC8tLD1VdTp1OjsXl1zNInEFFxZf7xlgbzVw++/NASdY74+dyg7xCp3O+Vy79mIuKr6WGRmzeIR4mcViCRMTm8NWB9LKrhJKNqIx6vV5OCMBCWxDW79YcQ9VeE+avf+emf/EkJUh0mEJ/UWDuF9mhXcgixM00/ws+aPjW9mMZjaggcfE/5kFKOCRuuM5CqPkY85MuolPlZ8qh0iR9JmAb9hwIz+tPZru62PpfiaJVeIWxhnyeFPGOfzhnR/Y3d3NzvWdnJ+8dFDPY4GFpYpK+Xe+uIgXl1zl05cdOLCRuWLRgK4fgxjOwPG0wuoz5nvPw6Sk96FeMzNzdp/M8N5jV764iO3iadaJe2QlLz19JovFEm468+d3R1K2sEoEnABkBWhxydXc35TPYrGEreLxQbclb0VZUraczvly+rXMzNk8OMFDUrS07GI5njEzczYvL72creJx7js63cNr8TdPCJFe7+CepkKS9IlFNZkq6P7PFJ/32tW1h52NJXTfrOfmPxm4YcON3HVsCvPFRfystsNvbHt/7FRqtTaZWIekD+N7i3iUReIKeTFV2i6NT32g747AbK5hpbiJ84tu5fPVp1Cp1NH9UZNH6704hgaD00e5k/7uSUkMgLun2dgg7ufDlXO5e5rHCjlRvMBKcRP3/CaN9eK+IVEWpNyEkb7PCEJDtFxOo3XfnpP8/pRjoINCMBSjmLWKBm5oqOGa+sFNZFUq488d3bhsFokrhsQlqmen3h/lUXL5lFxZ3O9XsfN3yXQ/YmYKUniUYnLU+wrvtBihICdnQcB2FgoC9dvDAYHcnKSJqqQ0arU22myTeXHJVZyZ/wTbxdMBFcVVdeM5M/8JOp3zZdKCS0uu5GkFD8iLleG0KEvtZxRGHdbxc8EgxR5FEgooWIhC1qEuYql/hjuG0gvCe7LZG6K5+KtQqKiHnm0aT6xzsHFhuu121mqPZgWqWYxiAmBNxkJ+8fQXAfuPQNLd3c03LnmDJzoe5ftHFPPl7GN4YvI9zDJ3DOoZjDCyHe2y1w/ws/sh6fG6y8lZ0KtBRQMNG2Mm0gx/j6Ec5LBS1cwJmBAwH6wU66rRWP0WtINZ+KzWdqakdDAnZwEdjjny2KrXO6jT2eXx2pswSErhkJw8Uc7VDkDWL7zHeJLc85u0gLl9JQvgEeJlGgxOHiFeplKpCzkPsARv7xlpfJGsiZmZsynEQvkdSMflikUkye/qWzyp4P6RwNMKHuB4sYwlYinVahMbxYPMyVnANfWNTE2dKhN6PlZ1Bs903Uv3QybZs3Ja7vN0X6Xhma57+VHtFJpMFZxXeCd3nGThouJrWSqu4Yqamewp7meSAn6fqalT+VHtFLqfSeLlpZfLx4Tozde/hmuzTebmxiq5UJKfcbAPNdi+SnETHY45fGfsNC4qvpYWS73sQjSCERwKCDXWbiDWiaEa9NORzmtt87mu2pNzSuqgB+tmGCxVRk+3lkhYq73zYUmuMRICKRx7fu1ZTTYac+V+bfv2l2QWt5WLnopqfqsRhAbvRZRisUQm5GkUD9IlLmOpuIYV4gZOGfMSq8VtNJtraLfPYLFYQve/j+b7Y6dyx0kWj4Wgn0Q8gb7XQK7EVagKOGEbweAQj3i2oY3pSI96WaKd0iuQh4uEcMZCB4JGYw2Vhn9IUYlKrprj+e68x5+srLlyn//rUfcwH/nMQAZ/bV7AlX9bybWfrA1ZWVz7yVr++4F/yxPwcLrqa6FlK1qZghQCkN1e05HOvyRew9oYz75YxPqNVWMzL+J45VGcpP6tfL436lBHFVQ0GnLZiEYqoJD7Tsmo4h27Hmr7bhQPcn7Rrby05Epu/72ZzeJhH2VTSoVntbbTbp9BozGXl5ZcyXbxtByaBHji7MzmGh9F3/18Mk2mCsbFueTFYa3Wk5NQuq5SqWNXcy6PEisZF+eS22ViYjP1eoff3KOnImyzTaZabWLXuGwuKr6WcXEuLquazczM2Xyq6nQuLrmaWVlzWSyWkCTnF93KvcfY5XQfm//kYR4tE9fR/WwS3ffGc6J4gRqNlcViCbVam8y8rVCoOGXMS3JbmiheoMlUQZ3OztkFD3FV3XhuaKhhrbiL7kfM3L79edaKu/hA5TwC4LKq2T5tUa02BWx/0rvTam2yd05Ppt1e0L9GWyfu4XlFN5OkH4X6QDCv8E4qFKpfZED2CKKP4UoAFGmYYOI4TKArppxdB7u45zdpBOCTt6c/7kU961GIhVxd7+tiabW2RyVOODV1aq/pSYrFEh4hXpY72kbxINvF07y9YgFT1WM4Qfe7qL+vSCHaFtNIwWjMZU7OAjnGRa02yZMLycV0Zv4TzMlZwKPESrrdf+fuaTa6X8uU26lWawv7xNcBR0i51YYChwszZjrS2YSmYWlNjGT8fV/XdonL/DxWhuJ7l7waUlOnRp0XQpowG2FkneYIpqVNZ2bmbFqt7Tyt4AE6HHP4QOU87jzeY4k5wXoT60ZfzUXF13ryI7YIObasL/ly2Zf8qqyFiYnN/bZi9Ybi2AlsVo7nOPUx/LP1ek4es4JrG+r4r4ffYFPsb6iAggYYmIc8VqCCDWhgIxpllKGMAoIuBF4Aa0QjtRqPIlaP+l4XRoN5QPUc/5VKHc3mGp/6cf/4Ny6vPpkN4n4WiyW0Wttlq7PUThITm2kyVTAzczY7xCtyPSYnT5T7ZLXa5EO8I7W1+yrOkctht8+gwzGHBoOTeWIx88Ribj01nmq1iWlp03tNoxYI15ZdKM8Rdpxk8YQ4XKD4+dk+rA/YJqrFbXygcp7nmMvVXFxyNYvFEmo0Vl5f9nef79G9ItVz3NsuOR+iRGTTIV7hmzXH8eHKuVxWNZvu7/5Mkj4x+u7XMrn+/9RMT5/JxMRmObYy0PNkZMzi2vM9+UglBbJUXNNXPQTfeYR4OeD2/sbAjGAEv2SEY8AM92q1DTa6VFU+HVsgIpHBPJtCoWJOzgKZ5EfaLtE6h7ueA618SivpErV2sMGuVFzDzZvvZYt4lGvqGz2Dwo87+FLmVMZ4TUJ/qYsL0YC3dbq/7WV2wUM0GJy8vuzvXFEzk1ZrO7VaGyvEDTSZKpgvLpJTa2Rnn818cRHT0qbz7opz/dj/pElKT1eogbSJGtRQh6FvQ4EWS2YXPBT1dzxYuOBiOcoPOcv/UMYDD0dLXzTQghYCHksP4GHql/ZtPTWeG8+KZZr1CLaghWMwhi9Wncw3a45jZ+c73L79JfYln9z5Cbd9v82nPxjsOKeGOiAhVhKS+OK8F1moKGUd6jwKoqLFR1EsRjFzkMM61LEa1UHv4YKLiUhkGcrYgZ8Xi+vEPf0qa0pKB9PSplOns9NkqpAtbN6yefMDdN9qYIG4RE6RJblR+r0v8Sh/n/+YXJ8pKR2clvu8HEsuKYzebs6SJ1GreJxTxrzEZvEwzeYaZmefzdTUqawT9zAra648b5FYRIM9k/T+4uJczMlZwHmFd3JV3Xh2/i5Zfqaucdny35/VdtD95Yl8rOoMORemJAeOdDAuzqMIzi+6lSfkPeXTD3jHw5JkV3Mu5xfdysljVrBRPMhG8SAXFV/L9PSZ/LT2aLJFsELcwGbxsIco9D8/p5UiPXwRwdK2BXrmfHFRX+84+E6dzn5Iko2MYAQj6B2NaGQsYuWOKdhxwQY7bwskEHjFukhcIV8/M9PjvuHt+99zAusdxzDYQVans8tuJVIf5nDM4Sn5jwQ8niSLxRKmpHTw+epTuL2xnG+UT+PzYybz9ZPK6IptYxrSaIb5kJuY/hLgTRTkvtVA9zNJ3PrHBI4Xy1gtbmNa2nSazTVcWHw9TaYKThDPeSyK33gsCyqVUU6D0/PaqalTe3Upy8qa6xOz31s5pQlrNCGVsbfv/lBAHvICxliFE1I/FKlFooFad73Lo9PZe80/nZY2fSTEBx4LdA1q/PpvhULFanGbZ4LetYeOzDmsRCVrRp1D92MWWTGQeDqCyUeuI7m8cEZY81OPxmhmItNvewMaOA7jaIGFMYjx26+Agg7zkUxDWp85Xa2wslHZynKUs9ZxhUyI0lPRkPJZ9nqtnyy2fYn7Xk8KJKlf7Wws8ZuLzMh7RmZABTyhawuLr2da2nQaDE6fb0daEPFWuGYXPMSJ4gW6741nZ+c7PKfwdq47V8V3xk5jVtZc2frYW6yn5M4qMe2uqJnJTZvu9JDW/GRZdF+ro/uZJGq1NsbHl7Ba3EaXuEwuR07OAprNNTJTPuC/yP77/MfIFsHl1SfTvWaB57qftPLhyrnytyvEQqpURu6eZuM7Y6exRTzKAnEJl5ReyszM2fKcTEpfKC2Mh9G6H3ynzTaZRmOubPaN9sceDQyWZXEEIwgFfQ0u4fz+TDCxDGUEfqb5DrTSvfGsWF5acqXPAJGRMYut4nF5mzSZklb6eg4mJOkSl/HY3GflnFRxca6wuMD1Vic961Ons9NiqZdpsCXo9Q66xGWsErfwtIIH+FTV6QQ8CkCFuIFmYzHPH3MtR2EUnXBygnEWv2iqYIq5iXGIG+kfhhmEWMi0tOksE9dxgniOjeJBarU2Liy+nvXiPur1DiqVOhoMTlaJW7h58708NvdZeWD1Xk3/qHYKz3LdzWbxMC2WerlNGQw/05sfIV7mEeJl3lh+QZ9lS0EK/3X/v6JeRxLmuP4RketK6a8iWXYHHCxHecTraDi56vZcQAtVIakQN/T7nOGMwTyDHXbWo54n5D7Za/22Yzw/GXs0C8QlTEnp4OKSq5kvLuKeX48KqPxUi9uYaahnIQoDvquBIhOZfspiDGLYgAZ54SmQx4wSSsYiNrT6hJrTFDM4FmN9rEvSoq33s2igYTWq2ajwWF/jEOdzLY3GSoul3qNM/fg3XwXxtUy+WXMc3Zeq6L4zjnuaCmk05tJun8FFxdfSYHBSp7Pz2NxnCUCO55NgNtfwtIIHmJk5Wy6b0ZjL5OSJnCSWMzGxmZPEcpnUbI7rH9RorDwh7ynfcryYwlV14wl4+nK7fQYvLrmK7n8fLR+TkTGLer2DNeIOZmefzRl5zwQkS3OvPpV5YrH8e3n1ydx6ajxrxB0yyYyUF7K3dFiSRVSvd9C9IpX796+l+x8JfLhyrrwQ5P5XBx+onMfnq09hgbiEk8esYHb22UxJ6aBGY+W03OflcszIe4Z2+wyqVEbq9Y6QvMZCYETt/QIjk6ERjCA8GA4LLjGIYR3qPBaynwaBnTvfCJjCgfQESmdmzpZzRD1VdTpX1Y3n+v9T0yUuk3OrSvEBPQct9xcz6BKX8cCRDq5ffxVJ+rj/hLNupUUtCT0net7xDt7nSRPbTZvupEtcxvlFtxLwDXi32SaT9JAYvHfd23xi/ESOM5/JidrjWIMapiKVGrW138QoI+gfglmGe0KiNgd+jrPxXhCRiC06G0vkyQngafPuZz00+A3ifvm3NzHIKfmP+E0aeraXnrBa29mCFqoQXfKToYAkkWJATUYya1EbtusN1iU03C71KpVRTlUgWVa8c/cqFCo5r5q0zTveSKnUyW0+K2suExObffo8KabwcEF/40LtsLM+/ufv2Vv5XL/+WqYmjueTuVOYiEQmWpqpVOrYKB7kgUmjWSFu8PQJH3pyA246U89lVbNZLJYQANvQxsSEqrA9WylKfUibznLdTQccHA0ny1FOJzxMoQlIYBGK2IAGtqKVM2JO5niMD+keGo2Vo1UunqT8A0cn/sqvLeYhj/WoZxOa2IAGWlUZVCn0tMHGMpSx/ScLp3ROpbiJE8RzclydJLdXLJDjRavELbIlTKez87v6Fo4Xy6jRWOXvyVtZ1GisdInL2CDuZ3b22awT98gkNSqVkZXiJrqfT+b+pvyfFbk1C3im616+M3YaS8RSvz6bJDc3VnFh8fW+CmCPci8uuTrguZJs3/4Sk5MnMiWlg6XiGqpURrpXeuIPJ4jn6H4xxUNwc6WaS8suZqt4nAXiErnfyclZIKcONBicPDb3Wbo/auL+pnympU1nrlhE9zNJ3HK6kRPEcx7F9vtzeJRYyWNzn2Vm5mx2NpbI8x1vt3ODwenjwRVs8SvEeUv0PnKVyvPw0u9os4iNYASHGqTFHPfl/q4mLeJRv3xb2cj2C3QP1lG4HzLJCWRJ+rCFekvn75KZk7OAaWnTOVG84HcdKS/SpjP13LTpzqALUL3FhQWCNylWTypuSVnUaKyywuudDmFV3XgeJVbK51eIG7j+/zx1GIicQJItq7fw8T9ewu9fKZb36aDjUalX80TLtSxHOROQEPV2cbih5ypzX9BqbUxMbGZ6+kyqVEYmJ09kcvJEuZ1Ik4fTCh6Q28/GjbcGnRCs/z81MzJmUYiFvLviXLrEZVSpjLTZJlOnszM9fSb1ekevVrVWtFIJZdTrcigQyTi5FrQMm3rsGeczmLCd7Oyz6f6oiReXXMX9TfmckfcMMzNny7nZtFobdTo7FQqVvGAxx/UPH+VPrTaxUtzEM133+lw70iyowx0930sTmqj1yr3oPYk2GnPpGHUSO1IuZod6OjMyZvH9sVP5fPUpPMt1N68v+ztJ8ryim9kg7vdhk0xGMieZ/0z7qMHVtxZaNqGJTvgvZDSgQV50KkMZa1DDRjTSBBMVULAOdcxDHjOR2a85dVxsluzy6O3W3IAG2tHDcuk1RmuhZZ3S172+RtzBenEfk5Mn8kzXvUxJ6eCS0kupVptkK5dEOiadk5OzgBkZs+gSl/mQ0sXHl1CrtbFS3MTuNifj40vkxZAO8QrLxHVc/39qThnzEhvFgz7zEvf1sZyZ/wSPEC/LC749RanUkfSwmU4Qz/Es1908Jf8RqlRGdohXuOvYFFaL23w8SyRCJG9xOufTbK5hV3Mu2SKYKxbJ48EJeU/RfZWG204x+dW792KVlAJlc2MVt29/iecV3cxdx6bQ/dXJJMlt257h3RXnskbcwc7fJbNNPMnU1KlUq01cU98YcOwxGJy8vPRyqlRGnxRc3qFDIRIyRf9Djotz0WptPyxcJEYwguGMRCT6xfn0NqA0igd5XtHNnF90K/ft+x/j4lw+bniSrKlv5LzCO+UcfT1javR6B63Wdp9UFt4uf96dnKTohTrQScqnpGhK8D7f6ZzvQ1hC0qfj7osJrKdYLPXU6x1+cZfxiGc5ylmHupHYxigiUNuR4k+k30eJlSwRS7nz+CSfdFDeIiU3dj+TJF9Dq7X5LDQYDE7eXrGACoWKaWnTqdFYA+ZpHIVRspua97nRrqtII1zeSUooZWbHvt51tLCw+PqAC2bBYDbX0OmcT/eFSrr/dybd//Tk/5yR9wxLxTWMjy/xsZz9Pv8xkuT5RTfSbp/BOnGPj6Kz69gUup+y8rv6Frne4+JcA55bHa5zMjPMrEQ1Ly25kkZjLg0GJyvFTawRdzAx0WNNzM4+m3OSb+V3dyZ5FHm3R0l0r0zlaQUP8Pqyvwdk8U9HOlvROqjyNaDBz8VTQk/CGxtsVEDBNKSxCU3MRjbT0qb7WJP7+kYCfaNyHDaULEW5bFkMtFDTiOD5me3WI/n65CIelXIxJ9kW0QyzXLbJY1b43EulMtLpnE8hFlKrtbFYLKEQC33i7+LjSyjEQprNNZwy5iU5d+Gxuc/SvfpUXlpyJdeeF+N5V08k/hxz+oyvgtfZ+Y5smdTrHXSvPpWdv0vmxSVXkSQ1GisTE5uZLy4KaJFrEY/S/bzn2rliEd2rTyVJmath41mxspeS0ZjLyWNW0OmcH5Rk782a43wWHrKzz+Z4sYxzXP+g+9NJ/LxuEt2PmGk218jkQAaDk+cU3s61DXU+71IK99HrHT6pT6RcmQNcPIr+hzuCERyOiPYkZs+vR7FDvOKzzTNIVhLwrAgCgZkSvREfX0KjMZel4hofpc5bbq9YwI1nxfrExwCegHOJcWzymBUB3V0ByK6jGo1V/tt7f0+Gyv7gvKKbZVbWgdSjtwuLtG1a7vOsFrfJ+ah6IgMZcnLnEQwdNBorjcZcdohX5AmINEgajblMS5vOdvG0Xzvc01TIrX9M4MUlVzEzc7aPJaJnmzOZKnwIbySL+wTxnEwKF4wMohGN1HtZNNxPWf8/e98e31R5//9Jmhu5kTRpk5S0DW36NG3TNr2nbXovV+uorA5QdJ3CxpQpDsbwJzpEBBFFvKIoXvGGouANb4hubm5ufqebm07n1OkOyEVF7tf37494Djm5tEmbNi3keb3eL2jOOc95zjnP7XN7f3D48BcxP2e0m/gu10s4Pia3x3Mi9eGe3vFgf9dUSkUb+UmmEtW3ok078VbtFD+9/Y1yoe+srVyI9+s6cOTMLCEhNrfFBm6FHNzTJmy7UorVFVfjvbpJUCqtyMzshkQiExRt/P3r2YMCcccH9RNEJF6BpZE9hlK2EvXswbCMj0NRCAyX9D0c4tX2cdoLcWXBbejM34L09PGYVfQ4DjYVCx4G3J/KcXvhVVgw6hYcObIN3YVPY9elathsXZBIZEJcG9HJOYJXFIxVndMvZWEDNYT9XUlKeClUQE2jNIyn8YLFMXjd5907pVJVyDqYkTE1JKYt0jprk2TBS16kUZoAJSnDCotykqNSWotGaoaZzNCSVuBLaKEWIRbTy+4VEdnIZFq0s2fQzNZDpbJjcv4rgrAT2Hadzo3MzG4RYde+c9PxTt1kTHFtRk7OHHw70yCK5QsuB5uKw7qoPlc9C9zNSlSzNVCrHVhTcZXIu0UuN2ACexkl7AZoNE6hDdzzfoGU53UoYEuE51pZthxfX+zf2/DC3ZqKqzCr6HFMzn9FqLuNbYRSaRVcUhUKM9ZUXBWShcLDVqGRPRYSL8/nG25nzwhz+4bqS0K+TzBJYRRhUpEPBsZyJJFEEkMP+85Nj+l8C1nQQi2ooiqMo3Ehx3fOVYUksn+vbhJUKjs0GqfIZXX79hUAgEOHPgb351oACLHQcc+moY7dD63WhXWV82EyNQvaxHAIjDcMXrACNeyxbFjlcgO4xw0Rj2u1rl599gGgit0p/G2zdeHlmgsinq8kJcbSWBRRkaCRZcSgIU3C+8zpAr7/2O3T0cqewsGzM7DF2z0gLnkABAG0p76kJjXaqE3QzvOsedHeh/trq0i5E6ycCUQzWw8AIS6Jww12smMsjQ3L+jhYUCqtuLX82rDKrmDr0jLPTdBonDj4w1Hg3vRbQd+qnYJx7AXsa/QIMVG8VWJPYwWOThgNpdIqWAH4uqRSlZCAPStrBuz26cjM7Mbk/Fcwq+hxzCp6HDXsHiiVVoEAxMUWY5nnJjC2CNwWG9LTxydccRktwlnkA79BPO+lSUnFpu4p+N/v3djdWI3lnhvB3a3BlSWrUc3WAPATv1WrJqJZOhatih9COyInYpsa2WPIzp6FrKwZqKRKkVIoVkSy1NVQjSg+kOik0reGapBGfg+IdZXz0cKe7JEll3/fwb8Fvn+ZTAuzuV2wUun1HuQpq9FCLfgx/RgX0oWopwZUUrXoeS3GJoyhMTCT2GOI79tSkiKP8tBCLaijOnTZ7sHXn3wt7CcAYP80CyyWDpjN7ZBIZCEMqOPZi9jRIB57MpkWi0pvF5Qln/ta/GPtdznY/t52cO9wIYIhd7cmJASB+41/Tj8+Jhd7Gisws/AJlLPboFRakZ4+HlXsTjC2CGeyrUKMcWA7mtl6LCi5GxqNE9nZs/CJr12k9Ik053fmb0FW1oyQ/U1Ozhw4nQuQmdmNnXP9brOd+Vuw79x0QSEUKPAf/OEonF+wKcSbpp/o+YTeOttgQadzJ9N4JDEoGC4La2+4sHBD2N+1pIWTnBhDYzCzYL1ICNvX6BFpH4+PycX0gmcFrW84txuj0QuJRIadO+/GtoZ6oT7ur62CBYZ3t4vm3QaS1PR0Xm+TYDhLQLBvPp+niXevDbw/787qYoux79x0fOJrR3r6eIFBNrB+3nWJ/1tDGpRSKcxkhoQkKMy7GjayoYqq0EzNqKVaVFAFqqkatVSLSqqMmr1uOIGP4xsOc3ewpjUWRJHQ+OR9yIJaqu3TffhCRAIxQzjFCe9KFXj+cISEJGijNmFDnEgcG5cDhcLco7LLw1YJZCdEfq+Mb342Eh62CvsaPcjL89PiB7s9d7DXcEXJXaK6ulwvwWLpgNO5ALm589Dlegk2WxcyM/15Q11sMbpcL2FF2QpkZc1AI3sMC0ruhsFQKWwSMzO7UcnuCDuXDkXrYjiMZc/FnRyOr6/JvhilVCZKfxMJZjKHHbcWS4fAtm23T8fk/Ffwg4zbMM1yD9IpHSYyIZ1iU+q2poSSwClIgRbpSQWvlrRopmacRWeByE9e107tUJACCoVZlP8vUkyaWu1AG9uIVIMXzfIONEnb0EANaKIWlFOlv/1GHxhbBB9bh1HqSkyRTIdH2QK9Igs6NYOUpBhFmWhOmQAlKSEhCZqpOaIbbTDkJEc6pcNDHrRSK1zkwp1lV+Gt2inIypoheGpEul6tdqCRPYax7DmYTM0Yz17Ee3WTcFHRo+B+X+BXyHz7Gn6hX41zZDPw9Dk/QqahNURo7K00ssdQwm6AVKqKysuA+/yX4J5NEwm4arUDK8uWY+/e30GjcYZ4dfBhPCHfXuEnz/OwVdhzoRHcE0bMdj+MVvaUsKfi1wHeK+Gdusmivh4HJH4ySCKJJOKPLd7uiMeqqAoWsoQ9NpG9Kvy/hT0J7u1qXFi4ASZTM9RqByyWDqjVDmi1LtFEDvjzVDWz9SDyxyryQievHefREw18MFlNsOtJ4HW822rwM0SKCwg8LpHIcH7BJiGJMH+Md4cNXqC++upWrK64OmQD/kDl5WBskajNwQjOc6YgBdSkhpKUkJMcetKjgRrgIU9CLSgDgVNF+RKPZ+b7VA7lCO7gRFGz0UWNdZXzQzY78ao7lnQS/U09kUZpIXGeg4XAtgP+NCnBrmD8t1tRtgIt7ElIJDIUsesgkciQl7cQ3NMm3Fp+reCe9tWv5dg/zT/vZmfPEn0bo9ErUs47nQtw5MwsfO5rwcqy5cjLW4gJ7GXo9X7mQx9bFzLPNbBHhPkyNdWH1FSfwAKdiHfYF/BsrgVsCUrZSuy50Ih36iYL8YQFbEnEa2N1kW5kj6FKNQGMmCj2PdL5zdQsci8Nt0aNYy/g2OFjKBh5JspHTEBJShWqqRqlsnrkUz6aqAnt1I58yoeGNCHz/UgaCQ95wt6/lcYIeRNzZcVwUI7IZdVCFuFapdKKsew5AMC6yvkn+yvpcAZ1oCVlIjpkU2DT1qDdfiPqUlphIYuQ2zGXclFMxWiUTUABW4LFpbdCoTCjVP9DnDVyPlQphpB2N1Mz2qkdmeTo0/cgImRQBhqoAfVUj0zKhpSkyMqaEdKHg9daXkHSyp6Ciy2GwzEbGRlTwf3rxwCA/70/Gdz/cZgsPx9nyc7DuTY/2/WeC40hcyWf7iKwcP/+KcazF6MaS9xNiojzbilbCe7zX8LL7hVcRvl3xROD8SkL+WNudj0msldRye5AZ/4WpKb6kJnZDYXCDO7tamyovkTk9dBTXuBwCPYmi4DIB3ltuc3WNSRo/5NI4nQAv3Hsr+b3m5+NxAT2sui3FEpBLdUKJBHh3KoCffAPHvwAZrPfhYLPTWQyNSM11SdQugdeO8W1GVXszpAJ9YqSuwSXuXD5hoKTmhewJWhnz2AcewFSqUpIthvte+lt8guk6A6H4HtIJDJh8t92ZWiAf0/CaSwTdzqlo43aRHTpSQw98MqB/mA0jUY1xY9mPxy+9DXGVVAMBPeEsddzgsdYoNWt12tJgjEBm+NEISNjqmjTyOcvCzxHoTCL5sJ36ibjE187cnLmhK1zZuETyMqaEfI777khkcgEptVydpuIwKInFLKl0OncUKnsAlOvVKrCgpK7kZExtde5c6godhQKM1xsMaYXPIs6dj9mFj6B28uvgcnUjJ1z/c8Qzi01mJ02EvhQh0K2FJXsDvwkfR3GZt4urFvBnhA8E22we2hu7jzY7dORmuoTXFe5P7jBfTjd//9lfqIVldKOEkUDbGSDlORQKqzIpmyUUznG0wSoSIUUSkEu5WIcjUOmIryCJI3SME7aATvZUZJ+AdY656Gd2gWvlNE0GgVUIPTbwO/5fl2H8Hzt0jPgTfELdhayQEc6OMmJfMrHP84sxMtF56HLdg9aqAVTaSps+jpYLCevbxo5A9YRJcihHLRRG/SkF+7TU6hFLHsaBSngJCcaqRGN1Ihcyu1xLgiMe1SrHZhbfB+4G+X+73CfThi/Rw8dxSv1TVjftR5/bqwF97ucEMHQZGqGzdYFrdaFDdWXCG6p79VNChnrwXA4ZuPCwg0C03Ywbi2/1t+mayTYd2469HoP3q71WxR57yaFwiyEAQa+M8YWYVP1xdDp3EI4Bc8yK5cbBtpboPeTYs1jk0QSpysGIy9pIGNWbwgWFluoRYhriAYABLplnvaad3Miip0iP9iCyJOP8L8HCpn8xCmXG6DROGE2t8esMQsGX39fSToAxE1x5mKLI07uFVSBQiqMuc5oSTiSGBoYrOTy8UZMm77vXdjlcgO41+1CHFFv11nJChcl3n05WKjbsWN1n8NzCtlStLAnI5IORXIX5ZUTPblKm0zNaGVPYc+FRqyvmgOzuR0T2MvIyJiKN7zngbFFIUQmkZRcibJE8vOyRCJDaqoPV5TcBadzgai/7Gv0oJ09EzZd1DTX8zh+fK9oHe7Jta+IXQc3ux6teRswUXkucjPOD2Hy5kMSZCRDPdULvxuNXnB/bcX27SvAXSPBpe6HsKJsxUlL1AfTsKH6EkzOfwUAsH//n3F+waaQ/KM/dm7AZYbbMEZxNrIpG7VU22NqmBzTD1BKpTCQASVUghE0Am3UJsQy8mk0envXWtLCqBgt+uYl7IaQvleSfgGyjGNF+TqNZESHdDKaqQVKUqKOfCinSsFKGsg5EA8BJoVSkEmZaKO2iB5R/PiRyw1QKq1403uO8C2uLFkN7k0GjrsGn73xGf654Z/4/Yrf47WrXsMHFT6RoMjnlCYi7P6FBgDQXfg0AGBT9cUhrO7BuKLkLrSzZ9DAHgk55mX3AgBWV1wN7i8+IaaZ+81J76MlnpuFNCJEfuPBZe4HUM8eFCkpu1wv4dbya4XxYrF0wGj0opzdBm6tFvOL1+LohNG4tfzaECVQH8d35IP8AFUqrSEJjpNIIomBQ7w0vPxErdO5kUEZgtYxELEKP7zyiNde88Q3crkhZH4Irjtw4eCfkXcfsduniwKyS9lKkaZYKlUJllCt1iVc359Ys1gRvNBzf20VLMG9zY2xpklwkQtVVBU1q15/BekkEoNSKhWYAU81SCQySCQyYcOelTUDc4vv82+mN6RGvE5JSpHFZCjCau0Unm9bQz1K2cpeE97zlPfRIpr9VvDGz2LpwFj2HDQaJ4xGr2AJ1WpdggsnP8dGUm4O5pwaDrxQe5n7AYxnLwIAvvnZSKHtqak+bN++Imy7uQ+nh8zT4eB0LoDJ1Ayj0QvGFqEpZy1aqQ25dFKQ54VFmUyLVEoTchRvqr4YlewOtLKnYLF0oJ49iIM/HAUXWww3ux4XFT2K3Nx5goKzma3HbPfDgqVZpbJjTcVVgiK0LO/miN+2lK0EtywF3FYbulwvIYVScKbhV9CSFuVUDiI/CRQjBjWpUUVV6JT+KC4W+dRUHx6ovBxarQtLPDeLLOXB7rMWsqCN2lBHdSilUhipd8+DWCElKaqpOuw+hsg/31SxO3F0wugQayFfnhg1AxkpDrSndGCyfh7eWPKGcOwN73kixQSvvNDrPeC22HDwh6PQ5XoJRCQivOOxuWZmj+E/c4vvw/HjezGRvYpFpbeHFaQZWwSLpQPNbD32NFZAr/fAYulATs6ck4qItVpkZExFAVuCtZULIZNpUcXuFEgHAeCdusnozN+COnY/3Ox6ETt4H99/dCcajV6RNP1B/QQoldYh47aQRBKnIwI3Cr2NxS2LZogm8JmFT4Cob1Y2mUyLRvYY1GoHcnLmCJuaFvZkWKGIz2cUrq5AF1TelUQqVYG7ViqaTH1sHbi/+OBhq4Q6q9kaQcAMFD6D7xGsUe/puaJ9B9nZs4Qcsb1ZGux2v1vSN988HdN75rWpDnKccrGMSfjBE0IEunKdCuDj9wJ/4wmPgO+TZr87Nuy19VQfNUHGYCIvb6FIgFtZthxE/rmoN0ExEvpqxYtVyRc4L0okMrxXN0nY2M4sfAKlbGVY19jBgl7vwbrK+aKY+czMbqyt9JMC9bQJ58GnGvmgfgKWeMILYOHeRyBKVK1ooRZoSCM6J43SQizdOp0bubnzUMpWoobdA5lMiwK2BFlZM3Dw7Ax8VD8WlewOv8C31SZs/r/52UghTj7c95dIZMjM7IbF0oELCzeAW34yDOJvN+Zja8GPoJNZhLhnDWkwlsainurRKZ2CbIkTTupfDlepVIXL3A8gJ2cOjpyZhc01M8H980fgVsiRnT0rJJUFj5GaQoykkSijMrTSGGRRVtxzDhdRUVivA7ncAMYWoYAtEd7XN599g6OHjgIA3l+YiR8ZrkIKpeCV8rEYm/7/0DD6dmi1Luj1HoxQZmJpcXhX+YNnZ8Bq7ezRe4cfk8HzHpFf8G5nz4j6XiCTaqR9mMnUjDe95+Do0Z3CM3W5XsLnvhakp49HdvYsQcgF/Gk/LnM/EML9wH/Tfrz3nk/gaV75jSWvWUhPHy/43vZWB094cTogUoxCJES7iU0iCR58DjcegRNPT9eNoBGCG00wAmNlIl0fPJm1sqeQl7dQ6PMGQyUslo6ImyapVCVaGKVSFY5OGB3im89bEPk5h4jAvZHt16h9cbnoOYNZU3kGU76u1RVXIzd3XkIJHgLzOEWz4QlGCqVgNI1GPdWjgRrQRm3JFBynGJSkjDg2Bwr17MF+XR/NxiPSfMLPWwAwt/g+MV0/ySLmmesvIrkkBiPcXKrROGGzdWFzzUwAQDVb0+OcG6snQTC4mxS4vfyamN9tNLiyZDU+8bXj8OEvsKPBC6dzgWjjz+eXG4hvENwPeBe/wBLMNN3IHutV+AtEVtYMHJ6UiczMbpEyk+ikQFnObkMhW4r5xWvxcs0FaGSPwcvuRSlbCevIBrTTGIykkcJ1VrIij/Ii3tNkaoZe74GLLcZE9iq+vliLb36ux+aamfiofiy4lywAgEer5mKLtxtWaycUCjOczgWwWjshlxtgsXQgM7NbSFORkTEVNlsX7PbpftfFLTbckbUA+77aBwUpUEM1ojYUUAFG02g4yYlCZR0ONvWfHOp4swvbGupF3+fwpExR2h4JSaAgBez26aJ+LyUpnOREK7WiOKWqT/cP3HcE9vlmag57/ggageuLr8fe89Iws2A9lo+8Ei0Zi5BDTozT/QwplAIPeWAlsaC761I1uqx3YpbuJkgl4rktGkVQObtNdF60Snie0Il3N+VzZL5TNxnfzjQIbth7Giswlj0H7hoJAODohNGCZwMAITXPAI7Xnk+QSGRoZ89gcemtMJmaYbF04OgZDiEXCF/eqp0ykI0c0phfvBY7LxuB/dMs2L//z2hhTya8TUmcPohmUuJdJX3kE1y7eqKAj/a+ZnO7YOnrCdnZs8C9kS24cAT+TuSPfQyOA+AXeKlUBe6Ly8G9N0EUyK3VutDGNkZ0dTUavQAwJBQyAPClrxFHmmKPQwyGilTwUTKOfLghULgKp7xopMZBtR7vaayIStkbKx6ovBxEJ/M0c7dHdiX95ud6ABDFYedRHuw0NMNdeKVa4HuLR2hOIKlZb+Rc4QTUWK2MLexJAMC3Mw1CDr3+1tkX6PUenGhzhgiLn/hCiddi8YBRKMzQ6z24smS1KLUFz+Itk2mFtCQHz84AAMGooVCYYTBUYoTMLMTIGciAfMpHHuUJie/DoYTdAJ3OjffrOoRn2bnzbtxefo3w997z0vBO3WS0sCfxcs0Fgmsy9wc3ZrsfhostFnLn8QJ8sIVzlnEtmqgJo2m0+LlJgQmq6SijMqRQCmQybVzGeKClLriUs9tQqRyHM1POxonjJ1DOboOLLRY8D/nxUURFfXa35799oHJ4NOVinGIKyqhMpDydQBNQT/VoTZmIlpSJYLIy1FItCskNG9m+z39cLNSjUJihUtnx3U9SkW+egsnKmfiR+cYe23Nh4QYc/OEo1LMHRYR9/XXfrmP3g8g/z/Cxk92FJ72RpFIV9uzxx8C+VzcJOp0b1WwN5HIDbLYuITY8Uv0WS0fIOIpBqRX9g1itnbBaO/GlrxHc82ngXrH6O/+PzXjDex727NkM7m+J9XVPBN6u7cLi0luFAc0vKEkG2SQGA/zk0JumWUlKTKSJEY/zk0ZPJD09bWSCJ6nUVJ/gImq1dqKK3Qm12iHEOfIbIz7+MHgS494qFf7/Qf0EAEB29iyBnZl3aQu8JnBDDkBw+0g0tl9+0o0oHq77kbSqSQxf8HT1iW5HvBAoAD5XPQvcs2mY5noeKpVdNLaD4SNfwlyup7g2RzzGcddgi7dbGMf9cdnk57pARVY4kq+eELzJk8m0wtySmuoTyMfC1adQmMFt8iv7a9g9Ce0nCoUZyz03igSQeMyRWq1LlBdYJtMKgovR6IVKZRdSL8lkfkKQQK8UhcIMOclRTMUoplL8etStmJQyFZPN12Ki9uf4ge4SVFN1SFytUmnFMs9NONHmxBTXZuw9L01gpq1h9+CKkrvQmb8FWq0Ll7kfQCN7DBcWbsBz1bNw6Cx/+8rZbRG/XU7OHOH3SJbyYJfjnt5TYAgHv64GHuMFEbO5Xdjz8+VgUzGWlqzEWPlk+MgHKUlRxe4UFFHdhU9jcv4rMBgqceL4Cbyy4BUcO3Ksx/bodO6orcgSiQxGMqJdNwMt1AIFKZBGaWiiJtRQDcyUjhRKQRqloYEaUEVVuKZkleCdxbOtGwyVUCqtSDX60E7tqFKfiVJlM8rYLVhbGWpVlEpVQgzt6oqre21jbx5bPrZOqI8XsMOF+eXmzgP3drUoJnNNxVXQ6dwoZEvDMrXyPA/l7DZwW2zYVH1xX8dU7yepVHa42fVQKq14p25yiGbh8OEvMKvocXD/mAzuWmmSPTWJJIYgJCSBi1xooZZ+xQPxG5zeNFL8JiRcig1+geZjGYNjGgMXbY3GKRw/fPhTYZPmcMxGKVsJjcYJiUSGVvaUsNC1sY0AAO4J45BIPs27GMWLOMJDHpGL1FBBIkiHThWYyBTiVjac8dWv/QQb3F9bhRRc3H/nw+lcAK3WFbGPeMiDHMqBVnMyJmm2++FBUb5Gsl7xMceBhfviciFnYl/ZleMJfkNP5N8g8l4YPHgLG59aQy43gHs2DQ7H7IRzT7jZ9RjPXkSX6yWBTHEgEGhNinQOnzaDd5VWKq2oy7sPZ2h/Di2dzKuoUtlhU5djrG4mOpTnhyg4FKRAi/wHcKV4oAmKR87M7EZ29ixYLB2w2bqQlTUDpWylICSGA78mZmZ29ygkBnoM9abQCEw3EXwv/h3x983OngWncwE+qh8rjIGjE0Zjh68GZ8h+hHHyk20yGCqxqPR2HGkqxHPVs5CVNQPcfTp89MJHeHdOdo/u6W1sY8zfVUUq5FO+KD9ljuVcTLHeg4aUMSimYihIAR9bBwA40eYU5T4OZG81kQlnpv4aZTIfahRjoCNdn8mCeMEvsP7g4/z4jKa+ffveAuAn4uH+MxvcG9mCMKtUWqFUWmGzdeH8gk1wOhcI12k0TpSz26DROIUc0314nuhOBIAG9oigqW9kj2Ga63n/pPmSBd99txXch9Oh07lhsXSIkoAGIxbf8ySSSCK+UJISrdQqoqCORcFTx+7vcbGVyw2CW1WwFkujcUKptIpiLvnJMjDYOzAeQqdzg7FF4N6bgHfqJgvWTbncgG9nGqDXe0LaAwD7p1micpEdLIxjL0SdB6w3pFEaiqho0NruZtcn/P0NZ0Qr6BRT8bBiRu1t0xH83IwtwpEzszCr6PGI8TW8UmsoCc65ufNChMWJ7FUA8XXjjeTVEfyeAy1mRH43wUh9jCchu7BwAyawl+FwzIbF0iGwioZjqI53H+ktpZRO54ZSaUU5u61PbehNIfhW7ZSo8xcHWnt5Jl828gxMV/8Kk0xXIlN2Mm6RDzmyy1wYozgbnaYrMVH7M0zQXICJ0k6kURpGUSaqqAqtKRNQR3UYQSOQnj5eIDxxscWQybQCY6rR6O1x3Yo2VlijcaKaremVgTeWfMM85HIDxrEXgBaG28uvwXkpP0WqukBUJ//deaGskt2Bf7/Uij/f+eeoFbhmc3tYATrQWqchDSbRJBRQAUxkiliXWu0A95Ae3LNp0OncuL38GqEdV5TcBSL/fNXKnkI2ZaNLexkmWK9BjdSHe3339piyg0ckwTvc80qlKpHSPPh4IOt8JbvD75Hx3/kAgCNNhXig8nJBIcdzy3CPGlDF7vSH7lwtwf79f4WHrYrIpRLjWIt8sIbdA7ncvxkrY7eEaP83VV8s1rR9/kvMdj8Ms7kduy5VY/fuh5KumKcAkrnbTj1ISYomagprneotBifcxFfErsOBKf4NAS8ABloOeGHOYukQBEbeMimTafFB/YQQF1I+NtHFFoPbagMA5ObOE/I+bvF2i3I5BW+gBlpbHitxl0ym7TNjYjAkJEETNSW8HwXjUvdDCW/DcMZQ/a6REItFLXgv0JNngpzkAslNIj0DdDo3rNZOcHdroFT6XfB2734UAGC3T0cpWwnGFsWUtqavuXj5+cxq7cTKsuXIyJiKiexVPFo1F152rxCLF9z+ArYEPrYOXa6XUMpWYiJ7FQ7H7BBPDoOhEkXsOpGiLhr0tD/g2xztM/cmuJhMzVCp7MjNnYe956WBsUUoZ7eFCBTh6uGtgZH6Ju/Gq1Ra8YmvXRCy+PyCXnYvUigFnZqLMYpGhVib5HIDFpXejjPZ1ojWMR3pUEd1kMm0giA0jr0Anc4ND1sFm60Lqam+kO8YLkwjXEgI/x0lEhkK2JKoUogEItja39v34MNMeJfncPv91FQfrNZOyGRafPTiJCww3xS2Pt4luC/jopVae8xNKZHIwG1IBQAsKr0dbnY9uIf0WOYJ3xaJRCYwuEpIghqqwc9T5iCf8qEiFUqoJGprYySXYIlEhja2ESZTM5rZekGJLpWqsKJsRdh5r5qtAfcmw45fKdDOnsFE9iq4P5Xjq69uEuJcMzO70cY2ioijZhU9HpJDk3/ngek2enmWnh+UFwj5mBv+9y7XS+AeNYD7cy24rTbs3fs7cFtt4L5ciCNNhcJmjx9EsXaAJJJIYmChIQ28JBawXGxxzPX0xAAcuDgrlVaRX32gRTHQsimVqkQbEO4mBd6pm4zVFVdjimuzn4b8agk62GswGCqhUJjxzc9GihZTflGI9ztTqx3YdqUURey6PlkVOthrAIDZ7odDjgW6xfSGFErpleSGX3iT8+/wgo98PZJoDDX0RsgSDvsaPUJ/D5evrIAKwLRtUbOX9hfBm9Rgt9M9e17BBPaycDycoDsYQq1G40QluwMAsKJsBeYXr8VbtVNCNvXBf+t0bvjYOjxXPQuT819BZ/4WMLYIcrkBBWyJYLEAEHY+7+kb87kb+wqejKanc3hF4NcXa7HF240SdgM47hqRq13gc0dSYvAupvw7CbwmMOazJyHpP+/OR7m+C3VUhyZqQmPKeNRSLZokrWhMGYcCubdHQaKIitBtuhNt8k6ck3YHlo1ehrlFa+Fm1yMvbyFcbHHUDOe9IVwKB75epdIKo9GLQrZUcF8mOslqbja3i96DRuMMYSblhVP+XYZba/g9QAEV4IqMmyIyeXO/IcFiH3zsk0ezUUzFaKEWlFFZiJI7jdLQTu09ph+SybRITx8Pg6ESGRlTo1pv1WqH8A10pIOSlBhBI3AOnYupyovwbkWTIKRGk0M1UCkxkb2KnJw5KGUrRZZkvo8GK2GkUhUK2VJwn/8SD1Rejr0/9sccb66ZiSJ2ncj92Gj0imJ0eWyovkT0t0bjBHejPFoFUeSDer3HL5EvS0EDewTLPTfiE5+f0t7NrsfXF2v9yUJvUoj8mAG/T20Le3JIMBEm0Tsq2R1oZ88IyXt5TVESpzZqqAYWyhD6QLTX8YsDUc9aY5OpWaQ0Uqnsoo0WLyzyLqg6nTui28YE9jIOHPi7QGxjsXQIG5X36iaJFrLtl8sGREjiy6NVc3Em29rn68O961gsDjaygRGLeJxniz08KRNE/vjOgeg/Sc+R2BCNtTubskNYDk8lRNrA8uDe9ifdTqM0jGXPDVg7eornMpmahbHKE7CUsBsEgq5EvDd+rD1aNRfcrSqsr5qD7OxZguUrmjrOL9gE7p0mcHdrkJs7D0s8N4P7i++kUNxYgfT08VCrHYLgcqn7Ib/n2NWSEGVi4Ga6L7BaO6HVuoS8fb2dz63VCjFakRQJPcXD8gJOOMHQZGrukzeKjGRQklL4fyZlfs/GeQaKqRg2smEEjRCECu7ZNEEgV6cYUW2/HD813Yd7R8/FvjF5+OZnI0UsqHn68ciTl0NOcqjo5LqokJthIINAsGM0eiEhCTIpE3mUB4lEBi+7V7B888KS8C5IhmxzB+yjpiM9fTxyc+dBKlWhhN2A3Nx5mFt8n/BeCtnSkFAV/h0HC5FEfjKV9PTxKGBLUM5ug91yFl678jWhjlIqRSmV4j9NZYJijPvHZEEBy+8/1Smp+F3BGfjDjX+Amfz3MJABFZJqtFGbEENK9H2MKLWEdUXlv7mLLcY01/P40tcotLm3fQLf53U6t/D+5CRHLdVik206zpBOgpxUKMq7FqqUk/lWIymP+PHCk/xlZnaL4nSzsmYIbQrO32y1dkKv96AzfwuWeW7CmoqrMIG93Gu/5d9n4LgI3Idxy1KwoOTu3vp6z5NTYCJJu3264Iqxo8FPS3+82YVI5Q3veVhRtgLrq+agmq3p84TSX/TGRnS6w8UWo4AtgV7vEU2iSZz6kJIUbdQmaEL5CYTfEJ1fsClqshKbrUtwEeWRmuqDXu8Rclup1Q5oNE542b2YX7wWdvt0UTqMQITrh5HcHINTUsQSJM8nR44W9exBAOhTnjqj0YuJ7FXRswW790eDciqPmqTo4NkZ2Ptj/4aXD4InOql9Z2yR0A6i6N13MzO7k3PFAGAg8wwOZfD9j/trKxZnXo8Kx9V+L4I/lQ/I/dzselSzNWFdwwNLoGKMLwNhReTHUm9hAH3Nj2kyNaOO3e8X/N7IBvcmC9mzfeJrh9O5wJ/P7a1StLNncHxMLr77biu+nWkA98XleKt2ClxsMbRaF3xsXczvgl9bAgWidvaM6D33Fz3Np4GkLvw7d7Pr0V34dJ9dhMPehyQozfoV8igPlVSJeqpHl+lajFFNRSM1oSt1EUqpFO7sX6E+82pM1c7DpLQl+PpiLd70noMqyy8wVjkFnaYrUa4ah1qqxTgaBwUpYKZ0vPyrl1FKpainepxrugk/GDkXm1rb8drVG7A0cym0WpfgkpiZ2Y10TTmKqAjtih+iTf4DtMvPwmSajDIqE7VbKlUJMeq8UDuevRhV3+Xf/ZlsK2rYPZji2oz5xWthIxvaqR0N1IBGasRoGo2RNBLX5lyPl+e/HNHaaCc7/vHU29jxKwUWl94KIv88oVRaMYJGhLjsy0nu38/IDCF1VbI7UMSuQ2ZmN6YXPCs6xu9xgkNZgi3eBkOlaHymURp+RD/C2ZZbUSCrwDQ6t1fiOX6PrdW6BAU5L4SGcxUN7s/hWFL57xZt38zOngWDoRKlbGUsRoLIB1NTfaKJ5Lvvtopy4nD//mlEQREAuL9PwoEpVhyelInVFVcLpu7BFN6USiuys2f1qs0cSPTnWQeCZU0qVYkmRR9bh4yMqZji2owadg/a2TM9snIlcWrBQhYUkz95L+9qFUinHosmPXjBD6Qnl8sNAqlNAVsCrdYlckflN4v8xMhPpHxd4RQZNltXv2Jqe6O9jgd60lwGMr7GUue01OU9Huc3RA3sEexr9AhzMh/jk5e3EDZbl6BpD7wu0f3xVEOsioBiKkYWZSW83YOBrKwZovfDWxa0pEUd1fUrPUW0KGE3hCjE+BJ8bqTf++rFEE/hJBrI5QaYTM3Y/QsNuAd0ov3a+QWbMIG9jEb2GLj//QbcP38Eo9ELtdqBN7znwcNW4aP6sahma9DM1ou8RoiimztmFj4REp/OrxGx1NMT+DjTcMdkMi2ysmZAp3ML9ylkS5GTMydmpWFfUM5uE8W6p1IqqqgaeZQHBSmE2Mhi5zJMlk6DgxyoU3bgrNQr8YORc1FP9dCRDqmUipmpa9BlulYQwMaP+DEaqAGlVCpYG9VqB9QjHBhFozCOxsFM/nQgBVSANmrDFNuDMJvaRW3Ual3Y3ViNrKwZKGE34P26DjSwR3BlyeqwzxTsCiyXG4R0WER+gYtnNF9XOV80fgDg4LcHsShtOUxkgoz8sYL8Wp9O6dgyzW+YurBwA4gIl7kfwIqyFSAKn7vRQQ4UUzFSKRUpkpNpTSQSGcrYLWhgj4B72C/QtbKnQORffzUaJ5rZemE/wQuUvBGF7z8utjgkRllCku9Tk52BWqr1x0RGSA/E74MClUPBxHc9pfziQ3nCHQsWGPn7hFuDGtljKGRL/bLamywaksPIB7lH/dr+VvYUvv76CXzpa+xROIwoND5uwKNVcwVT6GBtSFQqu+AGy1sruA+mDcq9+c6s0Tj7PAnxAa/xbFcdux9KpRVl7BZkZnaL/Kz5yWEw3k8SQwst1IIUSkF34dPCZMlvZC4qejQmgTF4Io3Uh/lcQsGsqPwGpKeNlM3WBau1E4BYy39h4YYQ142e5hu7fXq/84wF19+fTUc0gkUe5aGACno9jw+W97BV4B43gPv4AlxRchfer+sAd7PSHxy/XCZ6/mhidpIYWDRRU49kDacaeLdHiUQmipfzkhe/yH8AWVkzcHxM/PNP1rH7o0pnk54+Htx//ezuAEJyI8aq6AnGYLtyj2MvYN+56aI92kT2KlJTfbjU/RAYW4Qprs0iy1+X6yVkZc2A3T4dJlOz4DESqzXwypLVuKLkrh7Xk4FMQ+Jj67CibAUK2VJYrZ3CvYIFnoGGzdYFvd4jhFEECiRE/pj0bMpGFmWJXC2lJMcPHc+hMe2XSKd0//chCZ6vmonc3HloZI+JFIBplIZJ2tloSLsUNrKhSdKKVvkkjKJMWNI78Fz1LIGYLhCrK67GrKLHUc5uE/rIrl33hVWUBIP3Egr8LdAax9cxt/g+cJvM4D6YhiP7j+Cdu9+BL8VvfbzeejVaqAXVVI2/VU9EG9uILd7ukD2BhCTwpbSHKNdc5MJ4Go+RlCqQFslkWuTkzAEAvFU7BdxDetSwe9DGNgoeTtMLnoVe7xHyS/IWQJlMi3J2GxQKc4hy2kMe1FMDMikTNYbz8XPVlcgfeUZYA5VO5xYEYX6f0F8lRSlbGfZ3iUTmZ4D94nIAQBm75WQ/+j6V0eLSW8E9bQL3p/Jovm3kgwDQzNYDAA5MESfjjKUcP34Q3AM6cFdL4jLQYt3IRHs+b4KOpyumXG5IqAtuIKzWTnAP6LCtoR4rylaE+EoncfrCTna4yBUyGQYmAO4JgYuDRuPE5PxXhE1UJKFPrXYIgiI/OQcumMHuWIFB4O/VTRJiKgLBPaSHSmUXYjR6arNcbgCAECt6fyfv3tzE+LmlL25XFrKgnuqjOjcrawa87N6QmCaNxgmzuR1mc7vo24RzY+nNJS6J+GM0jUYO5SS8HYOJGnYPAECjcaKM3QK12gE96VFFVZjtfhjTXM9j2xUpcRWsAgkhekMpW4kidl1EL4aB4mYYCHfXEnYDprg2Y3XF1TjSVIix7DloNM4e3228BTg+pKkv5Ej9gUplh1brQm7uvEGxJEYCL4Twf/f07m22LmEvPSXjIcxWL0ep/ofwkAddacshJSk+8bWDu1qCbduW+U9sYahw3oQpxqshJSnSUkahiZqEXJDco/61b+95aShkS3HoLH+YSGAuR+4+seU5sHxUP7ZPfUMqVeH9ug6hHj7FXk+CSjhlzvt1HZhfvBb7zk2HSmlHJVWiiIoglZwcLxayoI3a0EZtguWQ6GSaicB78hZdfk8SvP+vZmvQwp5EZma38N34c5qpGS4qRCM1olE2AU0jzkaX6mdhv3mghVKjccLH1sXEpEzk5x+Idl7gvQj5XNT87y62GLt3P4olnpuRmupDaqoPK8t69laing4GlkWlt4ftNF99dSu4V6z47iepwm979mwG92GYJLZ3qaHROPvNUmg2twtEGD0NxkhxT4HnaDROWCwdUCqtODbOv0Dz7hX9ZfniESt98UBALjcgN3celntuRAt7EoVsqUA4kui2JTE00EZtAl00j1K2Ei62WMSWplCYRQtdIAIXPbXa0WP/4mMPeK1f4O+8qwb/m1brwnt1k4S/29kzIQsMP575NvbmVpGePh4AhJg9/nkT/R0iwUY2NFBDyDeKBoHvl98kabUukbtQMALn10SmLzjdICEJWqk14e0YSPBCF9/3Lip6NGS/cPQMB5qoCe3Zd4J710+gx92kCKkrOE46EiIJB4Hsy7zFS6Wyi9zuuA2pYa+dyF4dlmOD3/dkZ8+CSmUX2BP59xF47mDyGAzGfsThmI2MjKlx298NBHoq3/3vO7xc3Y4aqkEt1aJQWQe7fbrfU2StVjjv97+swNzsO+FLuxQbm8dggfuk0UIuN6CFPYk2thGz3Q8LayH3+wLh+uWeG8Pen/tgGiQSmYi1NVooFGYh5h8ACtlSMLZI2Hvz/U2rdYVVUvPeidyNcmRkTMXMwidwRcldAIDWjCVooRYUURHsZIeOdNCRDj7yoYEaYVe4Tz7D437FNGOLIJHIsK5yPo6NyxE8BYKfy82uh0JhRkbGVFG6LiJ/jPkoGoUSWQ3sZIeJTD2yshL5Q/z4FGLRhtGYTM3CPQMF6EB+Bj7Ej7eK8iSl/Hs1m9uxrnI+dl42AtwTRhwbl4PdjdXIyJgasp8Kg751WFHnecmCt2u78Kb3HP/f9+mwrnI+tl0pBXerCty7Y3F0wmh8UD8Byz03CpSu/ZmAcnPnRYx9jDYOQKm0grtWGpaiNgpmoB7Rl2eLtAGPB3Q6N+rY/XivbhIucz+A3bsfiip2lN+wDxaF+VBEsDBzqsJBDuSRP+Ewz1rqYovDavYslo6QzZeHrRLGEv9vcDqL4HqMRq8ov1A4F5ZICFxM7PbpODYuR6DhD3Rn7QkARO4i4XKVRQIvnPLzTbClcJrr+bh9GxvZ4CNf1IJicAxEb+/wdOjfwwkFVIBcir/r5VCCSmUXhIPgnM18OTt/M9poDA7vO+x3qfqLr9/WqEDtPpF43PJMmnwuxWa2Htw/JmNNxVVh64ompjLcZpC34hDFHq/cH/Dj3WCohNHohcXSAQ9bJSJ84RVtvNsp//tgtXEg90FEfqKTeOW7HQi0sY1R7bv3fLEHpfof+llSvx9H01zPC8d3/WsX3rn7HVw0+kFsrLwYx8fkgvvXj4Xj01zPY2XZcswvXhv1Xj+48O67BWyJ0J97M9DwhbvGv5YBwMGmYnE/JTkUJFYMTXM9j4NNxSHxrptrZoLIz7Js0BTBRCbkUi485MHYEdNRT/X47RU+vHjZi/77fvLzEGHUaPQKsZZGo7df/d1BDvyIfoQWahFiR2NBb3vt1FSfsK9SKPzpM/g5Zhx7QRhD/J5KKlVBoTCjiF0n5FhdVb4Ml7ofAneNxP9Ovs9j3UvbIh+cX7wWFksHOthrUCjMuKLkLnzuaxE+9gf1E/BR/Vi84T0PXnYvMjO7scxzE1aUrcDqiquxomwFrixZLbAxTWSvYn7xWnA3KVDCboDBUAmDobJPFi7eatjIHhNeWuDx7OxZYc3jL9dc4O+MYTaS/EaTp+VXKq3CYhDO/zhc8tS+IDOzG7suVWNPY0W/64oXeDN5otuRxOCijdpE8VJl7BaBmpm31svlBoGZrCeE6z+Bgic/6fG01v1tO58bjSh61xhAHPNYxe6MOm0Mn2OKj08eKLKKWAVFmUwbwuqWRGIQuPGNVoDn0UItCW//QIEf74EuWPxGl3vahEvdD+H28mvAvWRBLuViFI2CTKYFd5MirqyZOp0bJewG0XeSSGQiS6fZ3I4G9ojouv6QaiUKubnzhP0MPz/yCi/eEsHD6VyAK0tWD7jg1lf01S12uKRy4xUp+xo94P71Y+y8bARa2VNhBTaeqIh72oSjE0bjUvdDeLu2C9znv8Ryz41CzFq8ytFDR3Hi+Akhzm08exFarQtO5wI0sEeE88K9a6lUJRzn9wJyuQHHmwNcckkmMKcGXqvXe6BWO7DMc1NIbD0/HgF/pobVFVcLuZAnOTYgS1GCQ3sOgfv8l1hRtiKE3TU11ScIi2iJnJIqWlSTP7VHNNwCgYiWmTQwZQ2v+OD5RyQSGQrYEuGcjIypUKsdMBq9cDoXQKm0QipVQa/3oITdgInsVexr9AguwT0g8sF36iaHDEqbrQvj2AtoZuvhZffCaPRCq3VBo3EKJu25xfdhmecmrK1ciNvLr0E7ewarypf5LY3/+rEQF8ULi6mpPphMzX1eBCQSmUjDV8CWgLFFIcllA4Pke9JO6nRubKq+GJXsDiz33Ai53ACzuV3krsZ/sHi4TfAuodEyqp1KLiFJDC1kUAaKqEj0W2Zmt4j4hsjPItYX4ai35NG9YaD6ZGDaiEer5kZ1TXb2rAFPeJ9CKWHdg4PB56nMyZmDzMxQIoB4Ikl+Ex34tbOvjJ6N1JjwZ4gXeOVuaqpPIFQ6eoZ/D9DKnhJYmJVKKxhbJChwACCP8mAlf39+03tO1Mqc3pSdWVkzhPyjgeMYALjlMnB/rsXxZteAEq4MJrKzZ6GK3QmVyi5YHJRKK3Q6t+BRYTa3Q6129Hl+T2Lg8fXXT2DHjtW9CnVrKxfi64u12L59Bd6u7Yp4Xnfh0363xOfTeq3zL2v+gkcnPYpnq8fiTsevcezIMYxlz2Esew5SqQrv1U0C97g/HjJc22Wyk26y/G+BwqNW6xJyCNdRnci62MzWC26igV4B/D6ct8jl5S1El+ulkLZzz6eFbZPBUCnUF5hHVCKRDegeuK+KmKysGUJ8IT8XZmfPglrtECl90tPHC6E+gcKlUmkVLKk6nVv4NwqPrsgHZTKtsEFcXzVHdIxnkuKplYvYdahh92AcewGrypdhVfkyvF3bhc99LTg8KRPHxuWA25AK7nW7UDeR3/xrNHqjoW0VoacHU6nsAvNRbu68iOeE+/1MthWN7DFsu1KKNrYRLexJkRAbvFAFLjK9xTlGSkdRzm6LquOoVHZ0sNcGrPMmkQSR36LB510k8o+1cnYbZhU9DqKTbhI8hXMsSp5AJc1XX90Ki6VDEHT60tZYBZdwG/dAd1qZTIs6dr+IOSwYMwufABFh//4/D/i38JBHYL3rDTZbF85kW1HIlg4bDXqiMBgpGfoDiUQ2LITFWJUl/HhtYI+gy/WSkKfZaPQiI2MquLvUqGJ3ili6C6hASMhtsXT026rX25zx7UwDLip6NOHvNokkwiEra4Y/PvG/83sV7norqyuuxjc/G4kz2VZwr/ROYnni+Al88uonuD/rErRn34F2GoeV+dfAlbcIKaQA99/5fsUQSSAnucgNkxfyAL8VNNLz1VAN1KRGERWFTSHEK57S08cjK2sG8vIWivYPfAyf2dwuavsVJXdF/Y4D034QDY7hJFZPPplMK1gJs7NnIT19PNZUXAW93oPUVF/EfIy8EqgPe67oTuT+9WPR34GbEQ9bJSy+dvt0XFFyF64sWY1Hq+biRJsTh86y4w3veXi/rgPLPDcJH0MqVWGa63kYjV4RgUZ/MZG9CsDP4MonFw0GEKr50Gr9C9eeC43gnk1Dl+slXFmyWsjvUsSuQwt7MmSB5ClqeVfVSIvRvnNDN30ajRMn2py4zP1Aj8/0dm0Xvvq1HF/6GpGXtxAzC58QufTl5MwR5Q6KFVKpqsfcLkmcPjCTGRUU6hJ9mfsBeNm9qGZroNd7RBNoT5vGnmjSi9h1Yd1QY+nHgWO5N4Y7XvMW+JtUqgL3h5MC71ARJDSkiSk5O28pMJmaky7kwxzaFHNM334oIdrcpSXsBgAQ3MVmux9GM1uPQrZUZNUaTaORSZkgip83j1qZiTHSM8ImA+8tlUYs6Gkem1+8VlBm8+74if52SQw9BLKAm0zNIYaF/pTjzS40s/VC/OLBH44Ke97297bjg40f4Ms/fYmtK3+DBzJ/ASJCiXMZxo5agcmmxfiJ6U68fvXrGDfyYkxPXYmfpN6BMTRGNMb4EulZZSRDMzUL/2+jtojnbmuoj2j1l8sNIhbZYPkl4v2D9iHBTKVnsq0J7w9EJFKm8XMMAEGAtNm6sMXbHe85JboTAyc9XrOXmuoLa1UoZSsxjr2ALtdLuNT9EGYVPY4W9iQmsldDaOUzM7uRl7cwZssiEWHnXBXeqZscVsjhBb+dl41Abu48cKtPajhyc+cBOOlTHaiprGH3gPsNCbGZ3LNpyMqaAQ9bhe7Cp0VxJ3ysJS/B8x0t2gB8qVTVa/46lcqO8ws2oZE9hnb2DD73tSA7e1aPwnVy0Umiv6ijOowkf+JajcYJtdoBrdaFA1Os+Kh+LMrZbUK8MFHkeL1olEDv1U3qtc/yCpmeXMLe9J4T1bNFsuJPZK+CiLDcc2PC37+c5GindihJGfU1/DdIuo8Pb0hJilZqDSvIDFcE7h94hbHBUCls5jrYa7ii5C6BdTDwWhOlwU3+fYZSaY0q5UGk+chm64JKZUcxFWM0jY7KxXsgMVCpI0ym5rgq4JMYmghMAxGu8O6Ker0H3O0jBBdRAJhbfB9q2D2YyF5FXt7CsNefOH4Cf7jxD/jrfX/Ftr9uw8ebP8ZH16RjYt4rYdujIAV0pBP+zqTMkLg9PgUN75kYeCyd0lFMJ8luPOSBjWwgOrmvjXZ9K2Urcan7oX6/46G4ngaSCQUrpHihkScSjdb7IwoPsfg+hFxuQFbWDOTmzkMDewSV7A5kZnbD6VyAFvYkGFsUktvPbp+OrKwZ0GpdUQs6x8fkCgMl0uYPAOrY/QAg5NdRqx3gVsgBICTIlb9mAnsZayv9gydQiOXjG4gohPJWrXZAr/dETPAd2OF4F7ferCcGQyVK2Uo4HLORnT0LDsdsuNhi1LH7E95Zkzi1oSBF2I2UydSMMnYLjo/JFTYjPCFCT/UplVZhbASPcW6TGUcnjA65JnB8REPYEq1FsKeUOpFcxQcTRjKilVoFYT0WpKePjwspRV/itIY6o+pwUaLVUz0sZEl4O+KBQA+kcK6dAHBh4QbsbqzGkaZCcFtsIWEZalILng6T81+B1drZ4wYoGq8EL3khJzkyKRMuii7fXSQEksUEH1Op7BjPXgzhTxhI6HRumM3twzq2+FSJEx1IHGkqDBHuuEcN2HteGtZWLkRe3kKRlZzfr6anjwf3ijWE+OYy9wPYP80i+u3dB97FZ7/9TPi7jN2CvXt/J7J2RkIKpaCd2iGj0H7IPTwSANDleklQ7Gg0ToyiUSJhsa9phOJFQFXIloriGOOJQIGvtzktHD7xhVcGDWD6r/hWaDR6AfgZiczmdmETabV2wmRqDpuA0mCo7PfkBoSatgOZl0Takjan6G+ezZCIwH3pFxK3eLvB/cUXIpjxbbTZuuBm1wvskEXsuh4Xmt6e7YP6CWF/f9N7Djrztwjvz2xuHzJuckmc2nCQIyybVxm7BdzNSnDvTcDmmpmw2bqQmdktpL1ITx8fkoD2m5+NxKNVc5GXtzAsbTnvkhZrGwEIngXxEAaczgUhaXMGWwhqozaRdjbeCHxPg50UO4mekUu5YNR/Nr5wGOwNeGBKmTJ2i+j+gWvYG97zMLf4PgDA4tJbMb3gWXTmbzlZDylRTdXC37154/QGNalFirCBYp0tYTegy/USrNZOvFU7pe/t7cPGNziPZRKnHgLL4tJbkZExFQtK7sa6yvlYU3EV1GqHsH/Nzp4l7LOlUhUudT8Ukkfxq1/LsblmpvD38aPH8ezPnsWR/UcAAHK5ASvKVgAAsrNngfvH5Ihty6ZsjKWxSKXw+Um5v3WAu0stSttC5FfiBHvTNFJjTNb//rAlB4+XWOoKZ3zqCdsvlwn7+uzsWYJhil+fo9nPDDI3QfQvjkdvWn6+XFT0KPR6T9w3JIH+utFg52UjsO1KqeAyCgAbqi8BAFSyO7C2ciHGsucwnvnzsBw48HeMYy+A+/yXuLX8WshkWpGGJjAPSmZmNy4s3NBvU3Vu7jwhxwv/Gx+4uqH6EhDFTiaQRBL9wQgaAR+Fdw9Xqx2oYfdgVfkyNLP1qGZrYLN1weGYjfnFa9HGNqKE3SC6xmbriuhuzuf3Iope6LuyZDW4a6X45uc9J8DlEe1mOXje87J7B40q30xmkWZ1oJHcTA4t9EWLPljoS1/R6z1oYxsFpSrP2Odj64Q6AYDbZBbcv41GL4rYdcL95CRHLdUK9bWwJ0XHY0E7tWMCTRARb9RQDVQUH6tzoLVgHHsBWq0L7ewZ0Zw20Ou4VKqCydQ8rPcLkRR0NeyeYZm2ZCC+sVSqEhLcd+ZvgVbrwoqyFVhbuRBmc7uIDFGlsgsuqGZzO2y2LuRYzsV5o57AjnNs+NzXAu4hvTAWT5w4gdevfh1f/PELAMCuXffBw1Zh5867IZNpUciWYt++tyKuqU5yhiWnCQS3SXytTKZFEzWFnBersJgIpKb6wK0eAaXSCrncgC3ebpEbuEJhhkplx4EDf0cLezJsHbyCPXiP1J81mmc77Y1B2mxuF4iBekDkg/yDB//OCzQGQ2VYlye+uNhipKePh8XSAYdjtoh0IdCXeKB9ghvYIzh8+FPRBAQA3If+vGwmU7Ng1eDu1oi0LV2ul4T2SSQyZGfPglSqCpt3kSg0ILa/MBgqBQ3tUHfzSuLUgoxkPWrd8/IWYlX5Mj/T8QM6lLFbcH7BJhD53TfWVFyFDdWXRKXl5vu2SmWPSqhrYxvB3Red9S1wo9YX62O8x3RPyKRMjKZQl9yBAP+e+fk8SZWfWJjIhBIqGfD7LCi5G9wDOizz3NTr2hs4ZuVyAw5Pyuy1/uAxlp4+Htw1EjxaNRcXFT2KN73nwOlcgLy8hdjWUI9tV6TgvbpJAICdc1VQqewiLwMpSUVKqwNTrH1SQHvYqpA8skQEF7miZhzuCzQap+g9RzMH9TQWNRpnWIU9T26hUtnhZtefUh5IOTlzYLN1+fMH3qTAEs/NCW9ToiGVquBii1HEroNCYUZqqg9SqQp17H5cWbIaO+eK+9kWbzdK827Eny/Kw2tXvYaXl/wGo1MK0CadiLfunIV9+97yb3pbGD565U38/p4lQAsT9sK8ssdsbu/RoiUhCdqoLaz7aTAC61EozGEti7mUCwc5YCObEL/YFwykZ4Ve7xGskK3sKXDvTcDXF2shlxtwdMJoYczLZFpwX1weti29CYUSiSwkH2y4azIypgr5U0vYDQLxXRzCU2K/iA8wDyScyM6ehXr2IBQKM777SapAZMPn/eKtcWq1AyZTs0DDP5gI1EjxhfvXj7H9cpnwN+8Owyc6BYBSthJWa6fIXTXaXE+xQibTCh9VJtOGJRZKIonBQimV9jhB63RulLPb0MqeEjRmRqMXeXkL8V7dJExkr2Ice0FwR480YfNJiHs6Jx7oi5aulT0lkHIMNGxkQx7lDcq9YnnPwyXebzi3uYIqoKWBVQg6HLMRXOz26RHHhdXaibHsOajVjqjGTvA71+s94J4w4oHKy6HTuXH06E4YDJXQaPyhIPunWbBt2zKcX7AJ3I1yuNhi5OUtxNEJo0UCYwu1QKnwE8np9Z4+KU5zKAfFVAoiEhE/ZFAGcik35Hx+PgrcZEVzX75ePl4xGlexYKG9p7Wet9KGO8ZbbgP5FYY7FAozKtkdyM6elfC2DDXw/SA4Dr+NbYRKZUcDe0ToW0pSwquciGemnIE78sWhIG6JB39/7O/CnPDM7Hk4M2+L4IHHfXG54DaZkTG1x7nVQx6MolF9ep5aqhXlViTyC59n0BkooRI0URNMFDntRqIQzl01NdUH7moJsrJmQKWyQyKRoYU9CR9bJ5rbiAgGMsCiqYBMpsXuX2hgsXRAp3MjI2MqStgNKGRLQxjOA+eiYH4HrdYlCLBKpRUWSweWe24UhMc+PmdsFxiNXqwsWw67fTo8bJUoUb1CYcbayoXQaJyYyF6FwzFb5LLJJ4NN9IflcVHRo8Lg4NlTVSp7yILK3SjHnguNAAA3u15IYEsUmhsl3gxkw9mVJInhjxRKgY98IZupUrYS1WwNiPwTlcMxOySwmqeFl8m0Qm7CYAROeH0VEsMFoIcbN3wanXj5+ceTYp9HGqWFjRMdTEQrUCdJKOKLcC5YAwFeEAssHew1LPHcDG6FHHK5AQZDpWgDJJcbQojpwilMAy1+Vmsnzi/YhB0Nfh4DXnACAKdzAWy2Ln+et5/rQ9ozveBZUb28e24s1m9+kywlKaqoCh4qF9zZAomslKTsV5qSSOMglngnhcLcb5dwhcIc0RtsOKKePQi7fToa2CMx5cg73RC8p/axdTCb20PCQFrlP4BFFt5rRSbTokbzQ4xVnYMnsy7ET3U3oCtrI3Jy5ghjssv1EsaxF0R8BOH6bAu1xMTiPbPwiZMeSVSINEqLeG4KpaCRGk8JArA6dr+gFCqhEkykiUj/XjHPK6ga2WOi9x0I/t0rFGakp48XjXvemiiVquB0LoDR6EU9e7C/c0PsFy3x3Iyx7DlMYC+HuEPw1rA2tnFYaIIq2R3Y8SsFKtkdwqA4PiZXtHDVsHuwrnK+4IJTzm4TCcH8x61ma0R+4tGip7Qh/MKddEFNIpFwkxsN0rYeF4F4xr/15h7X03gIxxIWPEnGGvccC/ojRBnJKKQJGOpIxjvGD0pSop7qB+VekUoJu0FwZTQavSF8AxKJDCXshpC1L1LfUCjMkMsN8LJ7Mbf4Pizx3IwN1ZdAq3WhlT0FAPjE146P6seCu1WFvXt/51fOfnwBDkw5KRRayIJiKgYArKuc3+P9s7NnYX7xWkGQTSEF2lM6YCWxkMnHfMlIBitZ0UiNSKGUiPUqFOawTMlDaV0eKrka48X8arN1welcgPVVc6Jiwz6dEWhZ1GjEebslJEEt1aJA1RgiQBL5x6pSaRX1ZV/eQ6jOuwty+clUG9w/f4QSdgMUCrPgaRBuDdCSFq3UKuRGjYTAMtv9MIgIVVTVK7lbLuXCTqH7g6E0FntCOGV1IRXCQQ5Rfmu53IAG9khUhF5arUv4jkQUkqIwToj9IqdzAQrZ0rCshsMNKpUdV5asFjrtV1/dFLKIduZvEWiK+RQcwf6/fDxjZ/4WeNm9cWkbr1GwWDqS8URJJBwjaSRaqAWMmCjgPJaFPB6bmUgxhLxAqFY7Bm289Id5LRyMZBxUgpuBQrzCDNZVzk/4swwGCqggRKAZCBgMlXA6F+DCwg0A/MQVgSU3dx4+qh+LXZeqwT2gA2OLoqKOD9w0httAFrAlAPwePO/UTRbud/SMk3niGFuEo2c4sMXbLbq2lVqhH5EraOGXeW6KmD6K9xD6z//djWpJLcbRhB7d1oqoCJNoEtopvEdQfxQ/A2nhk8sNcLHFQ0I4DERflHCRPD2USita2VOCh0oSffwmlAmXxC0oSMKd09PvMwufEIwoOTlzBMGkp74nIQkKqRCt1IpiVYuwXzjefDLEKrCcX7AJUokKzRS+LwTCTvawbuPR5F8dqtCQBmNoTL88HIIxAHugyAcn0aSwv79TNxlv1/auXQzbiSQyLPPcFKIFiPemK1ooFGbodG68XdsVIiQu8dwMtdqBK0tWY4prM6YXPAsvuxc6nTskwJ43+8bB1CuC2dwel7xpNlsXCtiSAbWoJHF6gE9mHUiLnZ4+ftAWdd5iEewWxyOci0x/XeBlMm2Iy/lAvdveNLJJi96pBx/5QohXokFf15pFpbeL1rojZ2aB+10O5hbfh878LdjX6EFu7jycX7AJb3rPQSFbGlW9gX0T8CeHNpmaMY69IGwQeSKsbduWifgCCtgSVLM1MBq9QsxdIRUKMbwmUzOq2RpcUXIXuLVa4fnHsudA5HfhXmC7Ge3Sidi6YgUWFN7Z6zvNpExUK9rRnnVbiGAolxtC0uhE89yDgd7y2sYTKpUdGo1TFEfJu+D3RDQUzTv5qH4suGulId5Vdvt0HD3DgS99jYP6Xk81VFAFxtE4GMgQdv3r7RvJZFpkZnZjbvF9WO65EWeyrTGFcUhIgtE0Gq3UCg1p/HF8jxoQXLjPf4kWx2q8W9I7G7Sc5GG9MAZzTAwE5CTHT+mncJAjLvUFflup1E8cFimmWUc6gXG6B0Q+6CFPxGP98SEPXOAisYoOJALZTYlOasO4u9QAgPVVczA5/xWR/7+bXQ/uCaPA2ra5ZqZQHz9hKpVWaDROaLUuFLHrkJU1A5XsjoR3QiL/Zt5sbkeX66WEtyWJ4Q85yVFJlfCRr9fk8dy7Y4VYXoXCjDJ2C4j8MY3RbHYjndPbQjfN9fywE6wqqRIa0vR4TmCceBKnBhqpb5vivsbNXup+SLxZu0sdURlitXbCYukQxhIgJmfgfw/e8Ov1HmyovkRwb5XJtKhj92PHrxTCxpX3EnA6F0AqVYH7cy24P/ljCz0ptSHssIFlmecmTGAvAwCq2J145cp7Y06BoSENKqkS79VNEj0/r5XnU2315R0HK8SjmYuiOWewvCYslg7BW2pR6e345mcjsf1yGc4v2ITx7EVUsTuhUJj7ZX3lSyB5IBGdJFZ5PnL8WhLhoSAFOqkTjBhKqQzllp9DSvJerf+RIJWqYLN1wWCoRHb2LOj1HkgkMpjN7VF7FalIhTZqQzqlY3zeZnCbzMK35w1Fr3XXoSTzl1HVF2iBZGxRTALs5PxXEv6NIqGKqnA2nQ05yftdV/A31mpdIUa5PMpDC7WgiZrgpV6/ZeSDwWycfUVPpC+BsUmJ8jnmYyA2VF+CLtdL4G4fgekFz8Jq7RQmwoyMqVjuuVFIEbDtihS8X9cR8o54CmPGFqGG3YNydtuwNo8nkURPGEEjUE3V8JEPeoou3yERCZ4Jk/Nf6dXi119LfV83e4nAYJGcJALJuKPI6Kuw2FcEJuRe5rkJjewxgbAq3HfT6dwiQW1F2YqI49Zo9Arn8aRX3M1K4bejR3eilT0V9tps6zkooRKMSTlTSCETmIOViPBW7RQcPDtDYCyXSGT479udYV3YUlN9Ea1fMpkWFVSBMzPvB/e7HOxr9J/Hzxdudj1Wli3vNQZvsIie4p2vOtx4VCqtyMiYiuzsWWhgj+D8gk3wsXXIyJgKrdaFCws3wGrtRGqqDy62WFAE9OX+gqLiabGbcClbKRwbam62Qx0SkqCFWmCjUXhmbDvOlE2FhHp2GY2p/u/TN8hkWhiN3tgYtUmKMipDK7Xityv9JJLcG9lCu58ZPwZffXVryP3C1ZVJmYIlLFblyUAacOIRgjYQOSX5GPRAHhmTqRle8qKZmlFDNTCSsbd6er+RwVDZ71yI0aSaiDeTaMwf6fuOeUXJXWhkj6GNbRQmQv4d8AmBs7JmYIprM4xGr8jFTa/3wGj0wmCoRBW7E1527ykR2xlvDJdg5CSiwwgagRqqCZsnLlphL9zCw9PEx7rYBZ6fmuqLOe1MohgFexMWo3UH5JEcZ8MDDdQwqImnV5YtFwl/kTZ9Wq0Lb3jPE52787IRIjIFIkI1W4ODZ2eAyL9hOn78IDIypgKAMPYUCjN2NIRXGBjJiDqqg498IWyIEokMqak+4X488c4nvnZ8991WSKUqVFKlyC0+eJOpVFpFXkwKhRl5zoW4JeP/4fiYXHQXPu1/tp13A4Bo3HjZvVHlQBvob9bfewTGmQUL4Lwg6mGrMM31PLKzZ8Fm6xoQYc1sbse2K1Kwb99b2NfoEVmFTKZmtLGNeLu2a8ix5w8H5FIucigHRH5SOhcVQiqJ7zuUybT9VpCUUilWZF0DDWlQkXcryqk8bBxiT32+nupjtsCF82Tsy7hKVNhcX5GVNQN5eQtRzx6EnvSopEo8l3M+akwzhXXn5ZoLeqsn8Q+SSPSkrbNYOoSJTCpVwcNW4cLCDcjNnYesrBlCJwvU0PGLDM8Ypdd7UMiWwsNWwcNWJfx5k0hiINFCLSEaqqFAzhSYx3GoIlIsRhKnPqqoKmYXSh7hCNd6w75z04EWFpYdkchPvx+YaxgAUlN90GicYTdXFksH1GoHPve1gPtyoUgA5V1leYsdALzhPQ9V7E4QEfIpH2O03SjKWQibrStkvuCvD2R8TE31Ce3as+cVbCmeKBK2g4XZQNjt0zG94Fl8/lQG3rrJn4jcxRZj37npAicBz3yanT0rocreQGFJLjf0mb9ArXagjN0Co9GL7sKnMavocej1HlFITl7eQiwouTtimqN4IStrBgDgrdopQsoEHjXsHrjZ9UKMVaLe+3BFERUNah7C/nwjE5lQQ160p3QggzLCnhNuruHHhIMcyKbsmO4Zj7hGudwwrHOej6fxyNBUIWNEKSbrLoOMohaWE9/4oQ6pVCVib5rAXkZe3kIUsCUoZEvhdC5AXt5CQVAMJNjghUYPWxWSh+5UxXCLE0siflCQAtVUDS95Q5LrRoN4apJ5TTpfJ7c5PWrCikSgnupF1pHhinjlsTydkEd5cFLfCJR6Sr0UCW52Pd6u7cI49kLEc2y2LpzJtoJ73CDk7OKP8YKb2dwO7u1qEPldynnm1J2XjQipj3tvArRaF776tRwAcLCpGKWyerx+0xUILtwf3LBYOqDROMNq8flYQr6MNfwiJmG7jt2Pv12UgQ82fgAAuL38GqGujIypkMm0sNunw2Rq7pOyKx5roFrtEMVR9iUXYyFbCu43J9NqFLKluMz9AC5zP4AFJXdjUentaGMbwdgiOByzB9Sjgt9gzy9eCwA4dJZY0JBIZKhidyI11QeJRCbExg1Ue04VyOUGQTHTRM19VjrxGErW3EjpOYj8SqbgfIvhjD/x7tNDQfkdjFiE9jE0BsVUjHIqj4p9NgCJf9BwCP7oMpkW3323FUSJi0FqZ88gO3sWDIZK2O3T4XQuQBvbiCp2Z1j3MKPRiyp2J7RaFzIypkaVn+pUQXKSP71hJWtICohoXCIHUmNnsXQMaXKYwY5bS2JowUc+mGlw4t+I/Juot2qn9CgwBkKhMAtjWCpVQaEwQ6/3gHt3LErYDUKoidXaKcz/B6ZYBQI5Pn8j91Ypjh46ir/c9Re8v/79EEGRF9h4K2bw5pUPVwksTFIYNvdaT9g8YywOfnsQAAQBZvfuh4T9hUbjBODPs9xTPcHti9faF8xm2BfXv0K2FNztI/B+XQcmslfRzp5BA3sEBkMlFpfeiiNnZmFPY8WgW0+D93A17B40s/XCHkmptA5r681gQipVwZLeAS95+6xwCsZA8GzEOySCz78azbkajXNIcIfEI7NBf6GQm3FOziZoKebvEd+GxDsIOxCB7p6JyL3DT6gqlR1Wayfs9ulwOGb3GAAvk2kFN6HTSVhM9EQ/3HzKTzWkUEqfXSrt9ul9ZnkcKAz0fDOCRqCKqhL+nIOJwSIGGS5IoRS0URuUpBzU+9rt02OaLxvYIyDyC5trKxfi8OFPsW/fW+C22uBj60Dk3wdIpSoUsCXIy1uICexlOJ0LIJHIkG+/CE91TQL3f1xYQfFEm7NH4UUqVcFun47VFVeDe9qE28uvgZKUaFVGXl8XlNwtEuokJEGrZOxJS+Zdanzua8Hc4vuwpuIq4TmONBWG9Ubor4tkNAIlv4b2dZMtlxtgNHqxtnIhVpStELkQ8x4X/Hca7L4e7Op6qfsh0d8mU/OQ2FgPF9jJjgIqSHg7okEzWw/uz7Uhqa2Cz4umX05NXYpsyg6J9w6ub6C8XWKZB4I9BRIJD1uFucX3YZrr+VjGWfwaoNO5kZExFZmZ3XA6F8RtM1DD7sH0gmdFD6VUWtFd+HTCXrbDMRtGozemCU2jcYrYiE4lJFo4TGLoIVpLWfAEmp09Cw7HbCFuaDiDuz3UHS8c0ikd+ZSf8PYmkVikUzqKqGhQ73lh4QasqbgKZ7KtsFo7ez1foTCjht0D7o1s7N79ELhNZnBvZAvuXhqNEzk5c2AwVEKrdaGarcE49gLa2TPQSlLxkqML//G2YEP1JeCulWJm4ROYyF7FsXE5aGfP4BNfOwrZ0ohrCp//8E3vOVjiuRlZWTNARPBJmqAkZdhNpkbjFLmjjaJRGJexAjk5cwQX23b2DIgIh86yw2brAneTAgBwbFxOQjxlbLYumM3tcLHFfXKl49/LUHObC/6ufDqGwN8G0uhwqsFIRrRTO1IoJW51SiSyAVW4ByqD++MmKiEJ8igPE5XnYnQYghwiv0DHK1ziwVbaVxgMlT0SfQYqhXi5ws2u79c9oxn7dex+7Nx5Nw4e/KC3cyMfBBAV+55MpkVqqk+Qsvk4vQK2RCB1iVc+xXWV80FE4NZqBQ1nIsAnBB9qE3ESSQwVRCsshnMPuajo0VNCWIwW9VTfa77KwUA8tPlJBtb+oZV6T0zd0/uOVXttNHrxpa8R3NvVeKt2ChrZY3i0ai6q2J1Y5rkp5F6rypeFWAMb2WOidkgkMoxjL0AuN8BgqIRG48QoGoUxirNhHekTbRDN5naRAGEyNWOKazNK2Urk5MwJEdRSU33Y3ViN+cVrYbV2QibTQq12oIZqRFZZXlkdTnhsko7BqPQfwOGYLbSbFxp5QUWtdgAAVpYtFz0XkV8xHm7eCrTU9TdWysNW9UsJy1tyE92f+4KkZ1B4SEkKM5lhIhNc5EIjNaKWamMhKYntft9b8RP93L1BQhK4yIXpplUwa8tivn4g8r0HzztqtQMOx+yoro3XGhrJIyocsVkU9+z5ZrFsHgIFJ7ncAC+7F4VsKczmdrzpPWdQOk1u7jy0sY1+P+4BdGVTKq0xL8pyuQEqlb3Ppuik9S62d6RUWmG1dg6pgO3TCQ3UENP5gePVaPQmXBHT141WrO12kQt5lJfw75XE0ICb3CHEDb0hcEO3+xcaHB8TXsveE3gWU+6Ly0WC4OaamVAqrejM34JN1RejjW30H2hh2HalFADQmb9FVJeHrRLWOZ5cpZqqkaoJLwQEr4kajROpqb4Q8h6JRHbSdfTPtfjE1w67fTrkMgPOVF0gnMOf38Y2htxLRjK0yn8g1H2iTUwiE3juR/VjY36Pqam+qNzeettbGY3efq1dPrYOhWypSBhOTfUlnGk0qUyKHSpSIZuyMYbGoIiKUERFsJIVUpImvG2DhWjWYy1p0UItyKXcmPv4YIRFtFIrmqm5x/n9UvdDYRVNQ8DaPrA34P3kMzO7kZMzBx3sNeTlLYzrBp5fKHNy5sDpXCBa6Aby2WJlN+VpoSN9dIdjNgrYEtFmM9x7SrINRkbw+0rGRSUOsQqLpwrM5nYh5qk3pFGakFw4iSSI/ClU+kN2pNW6cFHRo3269vjxg8LauaPBT0az7YoUzCp6HJ35W8BdLQEAHD78KTIzuyGXGwTSN43G2aMgUCtpgIY0YY91uV4S/Z2dPQtmc3tInD9/fwDgPpgG7gl/mh6vbipa7X6XLb4NarUDx8blhNwrl3KRk+JCdvYs0V4hMI2EcL/N6cL/e1tL1GqHQH5XylaGTXofiODNLM8wyz9zf5XdhWwpzmRbRekCeJbR3hRaA2WRbGbrk8rbKDCSRqKYiuEmN2qpFvVUj2zKxgiKLqwhHuBzHBOJ3SFlMq2whw0koDKb2zGOvYDby6+BRuOEydSM+cVrI9Y/kFbviTQRROG9LKa5nvcrmL5/tsHsj25ygxFDGZWhiqogIUnYObMzf8uAEvJIJLK+eBH1/YaXuR/o87WHzrKjkC2N2VUjknWtkT0GrdYlTPxedu+AS+Lp6eN7NSvLZFq0sY2oY/dDr/fAza6HRuOEh60SOik/cRewJZic/4rgfsdbIsP5OfvYOiwuvXXIpOMYau4uPE14oq1TpzPqqT6i5jN43PMKEH6CtNm6UMZuSfgz9BUXFm6Iqu+1UmtcY036iuAk3UkkFlVU1ec0KkqlFXt/bMam6ov7dL3Z3A5uq80vkP2tA7eXX4MN1Zfg4NkZOHJkG7g3GVxsMbhlKeD++SNwn/8SaGGQyw3wsFX4oH5C2LE7gkagiZpiaksluwNEfsFJq3WBsUXgnk8DAGyovsQvYJEEY6RnRK0obKRGqJVZUCjMgnCcmdktuNMGnqvRODHb/XBIHQBgMFTGZUOnVFqh1bpgNHoFa2c86tXp3Jic/wrUakdM+6yBXMsHOofjcIea1GigBlRRFYxkRBqlRVSwDHrb1A5YLB0wGCqFfXiw4UKlskOptAr9lyd4HOy25lAOyqh3d1R+vCkU5qg9/noitIwG1VSNLMqCjWxooRZRirF4rcHhnkWh6Pua8D0S0/EkEhk0Gicslo6Q2MO+Tlb7Gj3g/v1THD78BVaVLxM6Ap/8NxbodO64ahzOZFtRxe6E0ehFC3syZFHiJ3N+QObmzsMWbzfWVc4PCXKVybSY5noeB8/OwET2alT3r2H3QKdzi97t3OL7hGdNVD+IBfz3CNc/srJm4IHKy6FQmGGzdYGxRbDZumC1dkKv9wyYNTbpGhwZ0eZaDJzYeG08d7MSGRlTh5wSIhZwjxsAQOi3dvt0kbeDlKTwUew58uIJvm3xXNCHgLvMsIec5GijthCWv2gR6FrZVwAA97sc/783KbD9chmmFzyLN73ngLFFcDoXQCpVCX3nypLVICKsqbgqYp0lVII0Sovq/lZrJ1QqO+z26dBonEhPHw+rtRPrq+YAAL752UiU592MidJOOMgRVZ0ykuEq6w3Y0eBFCbtB0OqH80bS6dw9eifJZNq45HAzGr0wmZrhYoshkcjiGj7jYouhVjti3oT2dd7t7T6T81+J27OdarCRDW3UNqjWw3iCV46G6wMDERPYG8qoDOmUPuj3jQZVVIVCKoSe9GindlHKpHjsecLJLhkZU3F7+TX9qTf6k7mXYouj6K3xRITFpbdCLjcIk3J/LEHTXM+HvW/gghYtAPTqRhIr2thGaLUuqNUOlLAbROxxwUmPAzuOVKqCTKYVUMPugcnUDG5ZCg4d+hgHz86IyPJ0YeEGIW6jma2P2LahuCnn82lFg6ysGfjE1y6wzUokMqhUdhSwJQl/jtMV0bjSBQsWGo0T3OoRAIAidt2wsgwHL4hF7DpMzn8lovBkJjMmWHsnEDtV0Jfk8YONoRRPlUVZKKfyhLdjiedmAMB49iIm578ipDmQyw3Qal2oZw9CqfTnU+SVoCvKVoStawSNQA3V9Kkd/CY0PX08uLVa3Fp+LewpOSiQlkZdhzf9ElyU/QDmF69FNVsDiUQmEqwD1xydzo2vLx6c/qDXe+BiiwckvZZEIhPNo2q1A1qtCyZTc8i6P5D7AO7LhdizJyksBsJDHljJilZqRSEVDgkvk1MFKlJFHeLB770HM5Y3j/LQSI3QkQ51VIfcCGyu0YCXJQZ4jY3+5IFwU3I4ZiM9fTwslg5w/53f6/mlbGWvE5pMpsXk/FewtnIhXGyxsAAEbgQiCU5f+hoxq+jxqClrY/k4CoVZ1HaNximi9I52oVAozFCp7MjKmoFt25ahkC2Fj60DgLAMaoVsKS4s3IB69mDEOodCwtL+opAthU7nhsXSIXyX0ym35VBDtHFXwdp5u306uHfH4lL3Q4O6eeeVMvGsczx7EdxNCtGGNIVSUEEVaKAG5Nl/nvDvlMTQRSmVIoMyEt6O3Nx50Os9cDhmw82uh1xu6PNY+Qn9JCqPg2jgIldU1gM+FvDn5rV4q+Zs3Fp+LaYXPAuik66uiYRCYYZW64qbtTIS6tmDqGP3o4O9hj2NFbDbpwv3NRgqIyqto4HV2tmjcpYnRUr0ux4qSKM0nE/nYxyN67MHwXBErN5Y/VFgNFMzWqgFo2gU5CTvd9vjbUDSkAaN1IhyKscP6AcwkSmu9ce5vdGffCbbGveOI5NpIZWqYt7U85S+PblQ8pqzwNxR49mLUVmseuugSqUVEoks5gVTo3HCaPTC4ZiND+ongPvQT85Tzx6E1doJq7UTOp07alcuhcIMs7kdeXkLcWXJagBAO3sG5ew2pKb6UMfuF84tZ7dFtEAOt3ilEnZDyDfin204WaNOZfSHpCOQSXEw2iqVqvp0r2j6Gl94y2MxFaMkdXDYoZPo//dLJDSkQSUNf0VeIGqoJm7CYiZlYjSNjnj85Ro/Q+oWbzem5T+HZ+deiZ1zVdji7cYVJXeFnJ8I8pXUVF/c4h/DgSe0MRgq8d1PUsH980dYWbYcq8qXxW1+PX5870nioWtCBZ8jTYX+Yx8O/TQMg4V6qkcu5YpcEJOIL3Skg4IUqKVajKNxUV0TLMwu89wkhDENlOXdRCbYyBbXOjUaZ7wtpdGdmJnZPeRcFfV6D9RqR1jpuZ49iAcqLw/5vZ09czI4oQctV2Zmt5DUNhx4IZfI77oSONFbLB3IzOwOOxEHptx4oPJyIQ+KRCKDRCJDVtYMGAyVsFo7kZ4+PupOwTPBVrI70MAewYqyFVhdcTW6XC/By+5FZ/4WuNn1cLHFIRbWFvZkwr9lLFCrHShkS8HYItHvjC0adkLvqQolKaN2NxsqcZ99ifPqKXmxhCQwkxklknK8vvh1PD99HBqoAa2S2On4T3UMlT4w1CAhScLjWuONeqqPm7udilRoloeP8QsuH/0oB7//VRU62Gv47iepETdSva0hLrY44e8wYn8Js0ebVfQ4nM4FsNunY1P1xfjm5/q4rpPcmyzkXfOba7t9OjxsFb766ibhWLytM8MVxVTcZxKrUx0DkfauP8rrJAgUj0oSlbMnM7NbcI9RKMyiDQdPu80LRnwMGwDk5s4TJq536ibHLAQ3sEewqPR2zHY/DBdbjBb2JMrZbcjOnoWMjKkoZEthMjUjL29hRMujQmEWAuhVKnuIVtFkaoZSaYVCYY5a+31h4QbBpUav9+DlmguwraEeh86yo7vwadxefo2IWGdd5XwcnTAaB384CkR+N85o7pNo6ut29gzmFt8X0l43u170WxW7E1XszoTmlDpdkUZpKKCChLcjWvB9BACys2dhLHtOtOmJxOqmVjuQl7dQRE+vJCVqqRaN1IgiKkIqpUKnHR4kUkkMPfQlBY1EIgN39UkLT2Zmd8Kfg0cbtcW1vnqqF0hBytgt+O4nqXivbpJA0MO9XY0LCzdgnHk+tn+89aQF7OmTLl8Hfzhq0BUWHrYq7gnPg9fmMnYL3q/rwL5GD7KzZ/VIEtdXlLAbQoRF7u+TsKp8Ga4sWY0t3m7RseWeGxPeB4cC6qgubhb2Uw3RJq+PBVVUBQMZEv5swxVS6keRSlVERHTo0Jf9qSamIpHIyMvupSp2J8nlBvrkkxvou+/epSNHdpHZ3C6cV5B6AW3b9iRNyHmWiIiAYySTaUkikRARkVyuIyKi8t9voPF5L0R1b5uti0rZSjpH9zEdOKGikdJ9lE2VtIP+Tdv3vUn/+9864rjH6J8f/T/avft1+vjjJXTs2L6wdR05sov27n2fJBIJNWfdQ99++xfhGADavft1Onx4Ox05souOHv2217bVsfvpk2PHaefhv5FSaaXDh7fTeZ/toDO/OpfO+se99JdjH5NUcoIu1L9Ht5ZfS0XsOhohPUQ7W78kf3YDon9+9P+ieg8nThyK6ryBKm/+9yIyp3xLGkoli6VD+P39j+YLz6BWO2gv7aAPt91Gx459SxKJLFHNPS3LSBpJe2hPopsRdeHnMIXCSLt2vUpn6d4hIqK/b+KIiOjYsX20b9+HVM3WCNekpvroyJFd9PHHS+jw/s8pOyWPaiT1VEc++gf9g35Lv6V/0D/oa/qa9u57f/Afqo9FqbQO+j0VCnPY32Uy7aDcX6NxDsp9+lIkJIn5GuAYZfwGtLuxmri/ttJ//3vfALSsbwUEso1siFt9X9KXlE7pRESko3R66L3LaOauMygz8zxKu+4EXTh9CXlUH9KIo0R/OvdJQnseERHZOnfRjgYv7fiVghS7dXTgwGcx3Venc/er3Q5JsbC283up/hS93kMpKSqSyw3Cb3/96BKat2s2jdv+S/r88zuFtRs41u/78eX1MYtCfrPO+Qedo9lESukRWvb1ZHqt9ifCsas+WBG3ew/Xoic9EREdoSMJbsnQLP/73zoiirwu9KW8R+9ROZVTGqXFrc6hXuK9fvZZ0kx0vEdu7ryYXBqWeG7GRPYqjo3LAfdsmkjb1cAeAfencrzhPQ/TXM8LuQ6J/FTgm6ovxjTX8/4cVDcpsK5yPhhbhIyMqbDbp8Nkao4qMD07e1aIe2sLexLdhU/H5Z00sEdwYIr4u8jlBkilKpjN7VhZthzPVc/CrKLHcX7BJhxpKsSxcTn4dqYBEolsQIPr44lydhumuZ6PmGdSqbSK+ifv7tsbEt2nTxVUUiXUpE54O/oKhcKMI02F+PpiP1lWpJhqCUlQQiVooiYUyKt6pD1PppRIoi+INTdhOPAl0WmSDGRAK7XGtU4LWZBP+T2eYyQjyiXVWOa5SbTuv1U7RQgBiVd7ollDGFuELtdLUYea9ASHYzYyM7uRmdkNvd4j4mSQybRITfUN+HcPLg3sEXjZvXCxxZjmeh7cXWrs2LE6ub5+j3zKh4X6nl3gVMdA7EOlUhVSSCHEiib6GYchEt6AAYOHrQKRf8JUKMxQKMwhk5rgNvHJzyMea2CPYDx7EQCwxdsNi6UDZ7KtsFg64sZeFi9XybnF9wmCYPAxmUwLxhbhc18LuPt02NNYgQNTrPjmm6fx1a/lqGH3JPybxQKeDCjScbXakdygJwjDPT5AoTDj/IJN/rnhbx1QqewhJDh60qON2pBJmQlv76mEU4GZOZ6op3rIqH/CTHr6eADA7t0PAfCnwRjMZzCTGfVUj1qqjQsrYSBG0AjUU32P59RQjZDc/PCkTLxVOyWubeD3GtGgu/BpHDw7IyS/dF9Rzm5DXt5CWK2dKGUr++RO219hObhMcz2PArYElewOTGAvi4j2kiBYyTok0uKcriil0mEVJtNXtLNn4llf4h8oERAJin+fBG6tFtzVEnA3KcIKjN2FT2PXpWro9R4cP74XNeyeuCayHgzw+RYNhkowtgh17H5883M9vvrqVoxlz2FPYwXS08dDKlXBxRbDau0ULTw6nTuiJrSvbJIDCbXagYns1ZjyNSYRHyRSWIxXUlubrQvVbI1/jnhID5utC+PYCyAipFIqWqjltI456YkALIn4IZ/yYaX4WmS4f/+0T9fNKno86nMlJEE2ZaOVWlFKpVCScsDeUSVVooRKROORv3891aOaqgf8O/H8BIHs6+FwsKkYyz03xoVd3m6fjkK2FHK5AYVsacJSRYWNW/zichw8OwN7z0vDzstGDLn9QaLRRE39VgIlERsCY3o95AGjZCqXGJDwBoQFP7Ho9R60s2fi6kbBdxjuTYYG9oiQb8li8QeCa7UuzC2+zz/h/Xc+AKCE3YCJ7FWhjkB3ioNnZwxIQC7/HuJpkg/UKKem+uB0LsBbtVOwqnwZdjR4sffHZkzOfwWMLUIDewRV7E4UsetQxe6EXG6AwVAZ0aUz1nZGQ5TDEwH155kDyUeSGHhISNInUo54YRx7AVlZM/q9OVGrHcjJmQOdzo2vvroJbWwj8vIW4tNLddjYNhb7fpCV8HedxKkPAxngIU/c6nvDe56woe/L9WPZc1G1uZ3a4SQnpP6g+AFHGqWhgRpQQzUooAK0URtyKTfulsxImOLaDKKTjOeRXC4B4EhTYVzuaTR6UcpWCjmbw62psSjP+qNoa2CPRPTOusz9wKB8g+GCFEpBGqUNihIjiZMI7t8N1NBj6EgSIiS8AQIUCjP0eg8uKnoUuy5VD2hCbpOpGQCg13tw9AwHAKCALYFa7YBO58Y3PxuJL32NwmRXx+6HWu2I6L7iY+sG9N3w7yLeTKQymRaba2Zi74/NOHSWHQ9UXg4AuLBwA4j8NOFHz3Dgc18LWtiTYGwRVpUvwxLPzbDZugQhOTt7FmQyLTIypka8V3+EvmSsw/CBhjSooIqozg1WPHxUPxYA+mUNrmR39HkjHAyJRAaHYzYerZqLUrYSuTnz0E5jcGD3gX5tuJPo+/dIdBsSgRZqiWt93N0afOJrB7dchtUVV0d1zQf1EzC/eG1U32EsjR00IS0YWtIigzIScm+ZTAu7fTqUSiuuLFkd9pxL3Q/hDe95wvlEfsVtX+5Xxe5EHbsfer0HJeyGiPPmYHERtLNnBFfnwPJO3eSEfI+hCitZcTadjUk0SXCPTmLwkUZpcFOSqTwa9JkN1WCo7OulPRartZNeP/op5a+rJodj9oDcg4ho9+7XSSKRUJV1Ecmf/4y+nWWgLatvp23T9tBHc/5Jxrv2kP3N31J9/gN0XdkqMlE2Oew/pXH/+Bdpta4Qds03P5o+YG0lIoFVNV5MpA9UXk5HJ4ymY8f20YQ/3U3u17vouOoouRX/om2/z6d/HNtDLexJslEh3fC/S+nbE3r6cO9j9L//raPFnz1PcjpGk1LPpjHqJmpjG6lJPYEyMqaKmNiIxGxWfvZXWZ+YSQ8f3k5EfsY3k6m5P48etuj1nkFjXjzVi5rUtJ/2R3XuJ5/cQNzHFxAR0RLPzcR+/zLZbGfRkSO7+vw9/vLRRfRz93r6+mItudn1faqDL2exzTRRU0+7jqdStSyTRpKJqkZ10LF5dirOXyGwKyfL4JR4sjgOp7KP9pGGNHGrL2Pmfsp981XK+PUx+vk7v4nqmoLfb6Z/Hh5NO3as7vU7fEvfkp3s8WhqzGUf7SOOuITc+9ixfXTs2D56qGQqLX5vVthzbn7/PCqq2UBEJ9fHm3JiZ4fNyppBJnLQUTpEWq2L/v7xAtq169Ww544aNV3EFj9Q5dWPfkAm03l0YqyYXdg27mk6k20d8PsPl1JMxXSCTtAROkJKUia6Oadt2Uk7KZVSE92MYVMSLrGGg0Qiw6Xuh+JeZ2/nRCJEOdJUiDa2EcePHwT3TpOQzzDR76iv15awG7CnMdT6s6n6YgDAnsYKcDcpsK2hHss9N4Jbq0U1WwOpVAWncwHWVFyFS90PobvwaQDAo1VzMYG9jBb2pFBXJCtjXxng+Jx3AwG93jPsYlCHKrIpG9mUHdW5zWw9AKCc3YZG9phIGx1JMx8LuMcN4P7WtwS/EokMJewGFLAl0GpdKGRL8cPMx/GzzIfAfXE53vCel3B2yVMFfbWsnC7IpEzkUE7C20Hkd6Pk4/IkEplAHhd4joUscNHpOZ/q9R686T0HpWwlrixZ3auXRHb2LCiVVuTlLYzpPllZM1DJ7kANuydhsYrRwG6fjrnF96GALTltPQOCYSMbLqALkEIpCW/LcMBA9pvhTsY3iEh4A4Y8wm0Ic3LmgMjvFnoqTYBV7E5BYASAr79+Ao3sMbjZ9XCxxdBqXdjdWI09jRU40ebEyrLl+OZnI7Ft2zIcOssOAGhm69HCnkQpW8dr3VIAALufSURBVCkIjEqltd+Mr/FImhy8qZFKVWBsUUxsdsMVg9VPXeRCGqVFfX5mZje4tVoc/OEoHJhiFfre/OK1/XI/BoDFpbeK3EV5VsgO9lrY9xNMo1/N1ojGf27GBXh5Ui3WV83Bcs+NKGE3JPy7JhKR3OKTZBbxhYIUqKO6xNxbYcaG6ktEvwGAUmmFydQMxhYhNdUn6gsVVAE96RP+3hIBfv44cmYWLip6NOp5NxZlqFxuQEbGVJhMzdBonAMashOvd2K1dsJsbk8qZb+Hl7wwU3KeTDROV2ExcL7meVt6QeIbncTQwkVFj6KNbcQH9RPA/X2SYPnR6z3YUH0JNtfMxBve8/Be3SSsKFuBlWXLAQC7LlUDAGYVPY6J7FU0ssdQyJbCYKhEaqpPtEhEEhwHOrZCoTDDYhFbmqRSVTImMo4op3JoqffNSxm7RfT3mWyrINhxD48EAOxo8MbcJ4JjZyeyV4V6v/nZyJB4GolEhkb2GLjbR4BbLkMDewSMLcLKsuVYUbYCRH4iCZlMC7lEg27z3di+fQUslg5ota6oc3ieiuA3wqeSwmyowke+IUHGoNE4IZHIcHiSP2WMXu+BxdIh6gvN1Jzwdg4nyOUGaLWuPnsqxEORmsTgIoVSkuNkEBFIUMlDQhK0UVtC27W7cdiQHPW/kker5sadeGW4oZqtSXgb+oNgzaRSaYXTucC/cf9rKwDgo/qx4K6WYM+FRuyfZvGz6rUwvFc3Sdh4Hz++F5trZqKZrccE9jK87F6Yze1QqexJgew0QSu1RsWAaLN1wWj0Qqdzi4S3S90P4eWaC7DEczNWlK2AQmGOSXMeztpnsXSAWz0iRFDc01iBi4oexSe+dpEgqdd7AAClbCVycuZAKlUhNdWH6uyrUTFiIj6on4DUVB8K2JJeqfKHAgZLmBvqFo7hDB3p0ERNkJAkIffn1/jgtf7g2RmCG/EH9RPwxY0jMEZ9XlKBECPkckOv7tiJsNjHKwd0EqE4Xa1aQwlOciKXchPejmGA/lXwVu2UpFaLCG96zwEAHJ0wOuFt6QsMhkpBq8kv8rw1RSpVoYE9Au7dseDu0wEADp6dAe5GOfaelwYA2L//zzjYVIxj43LQwp5EObsNhWwpKtkdKGRLIwqKyQ3FqQULWVBMxT2eU8CWhPymVjuwofoSTHFtRm7uPIEG3mLpENzdYmmH1dqJGnaP6LeDTcUhwiIA7J9mwRLPzeBe8bvA7m6sBvfF5djTWBGyeTvDuhw2mT92zGbrAmOLEv7Okzh9YCc7aqk27gJj4Bqu0TiF/zeyx0TndbleglxuQE7OHNHcHZhz86vmYlSrJgo5SYcLBosxNBK0Whfc7PqY91MD2W6dzg2ncwHs9ukJ/z6nIgqo4LRIDj+UISEJmqgp4e0YBuh/JTsvG4FydluiH6Tf6IvWLjOzG3q9Z9jH6BgMlWBsEarYnShlK9HM1oeco9E4wT08Ehx3jbDR3lwzE9zjBhw48Hdwv/Hnmipnt8HpXADGFqGRPQYfWxdCatNXkptYkLRyDD6aqblfiYZtti5MZK/i/IJNSE8fD4lEBqlUBbncEJNiwWRqDnE7cbPrQwRFboUcTucCWK2dqGR3YLb7YRyYYgX3Bzcm578icgtTkxpt1IYM21QoFGYcaSrEjh2rBbfm4ULSotO5sblmZr/r0es9uLX8Wuj1niFB9MMLOfx3OFW9XbIoK655F3tCOKv5hYUbcJn7AXBvlSInZw6K2HXCMQlJ0CodDzWpYTI1w8UWQ6Wyn9a5brOyZoQoriKhjt0/JBWow31/M5ThJS9G0siEt+N0RiLzQveEIaak6V8F2dmzkJU1Q3BVUKnsQ2ayc7Pr+3xtIVsak7Ax3AUTiUQGvd4Dq7UTaysXQqdzQyKRYQJ7WTgulaqQl7cQ66vmAAB2XjYC3I1yAMDhw5+Cu1uDdvYMStgNKGLXYW3lQpSxW2CzdcFq7YRCYY6qbwyXTXcSoYhGQ5edPUv0d7CgoVY7kJrqg0plj+uGXybTYmbhE+A+vRQAcOgsO3Jy5qCZrUdW1gxs8XZjcv4rqGH3oI1txOLSW4XJ2kIWtFEbDuw+AJlMC63WhcvcD8Bun46srBnIypohWCYj3X+ozIu85cJkao67V4hW6wJ3Y2Ly651OaKAGqEk9IHX31E/lcgPq2P04k20F9/kvAQBv1U4BAFxddDPGyc7CLa5FGMdewMs1F0AqVaGFPYnlnhtxos05IO0dDlhQcnev5/CxoIluaxKDi1RKRRVVJbwdpxv4sSYnecLIw6KBQmFGRsbUhM8Nku//0+cykb1KNtke+uTYcfr9pz+llBQtHTr0ZX+qHFJFpbLTmKyH6NmPWuJSn1rtoAMHPut3PUqlVcg9GK+i07lJp3PTd9+9K+Qd/LU5m6bWX0dNL/2G5KSiT3c8SCNHVtJnn60mIqJtr2eQrdmf0+rXJffSB4dz6Bgdpf/S/9Hl+q/JJttBXf/6kFQqOx08+BkdOPAZHTmyK+z9pVIVnThxSPg3WYZfaaRG+i39Nuwxg6GSvv32L4PcInGxWDqobORsmq5/jd48WEH3/OtCGpPzFN3/u39QQ8Meeq/4bqr4+8WkIDXtPf4lSaUq+uLjG6iO6uh1ep1O0AnSaJy0f/+/SSbT0siRlVRlWkAvfjQ+oc81lEpqqo+IiORyA3311XOiY1KpitRqB+3b92EimnbKFC1pqYRK6A/0hwG7R2ZmN33xxf3C3xKJjIBjBIDOyN9CG0rPJ9X6/xER0beffUvvrHmH6ubV0UhrBjlHz6N//uuKkDqlUrmQo1GrdSX7QVBRKMx04sQhIa9yvEpyTR3apZZq6W/0t6jzEydL/ws/Jhgx2k/76X/0v0Q3KWLR6z30bGExNf3xoYS2o98SZwd7ze+W8hsasrTImZnduLX82oTcO5zL5VB9TzKZFmZzO0ymZhiNXkilKhiNXuz4lQJveM9DG9uIInadP27x4AfYP82CPXs2AwAWld6ONRVXYRx7ATk5c6DVunAm24pqtga5ufNgMFTC4ZjtZ5WUG2CxdGBW0eOi+yfjX4c3hqo7RyAkEhmK2HUii6ZMpkV29iy42fVYWbYc9exBOJ0LIJcb4CMfdKQLW0+in2UoQ6WyC/OISmUXYqtUKjt0OndY11Xubg2I/G7xfHqiYBgMlcI3S/QzJhJVVAUjGQf8PqvKlwGAEHcOAHt/bMbxMbkAgCP7j+Dl+S9jpDofRH7PkEvdDwmu3huqLxE8j+rZg1AqrTAavQl/f8GYW3xfyG+D3U6t1gWbrQs2W1dyLTyN4CHPaZtqJtFIJGnYMEP/KhiouJBwJBiDheHAbjjQkMsNMJmahQ0C76Z6os0J7vk0fPNzPc4v2AQA+NLXiAUldwubg+WeGzGOvYBG9hiWe25EAVuCEnYDcnPnoZStRGqqD2q1A9x/Zg86Q2ogeUMS8cepRgU+ikahhEp6PEelsidEcBkq7MJV7E7s3//XkN/N5nYh1okXGAFALjdArXZAq3WJ1o/9+/8qCOBWaycm578i/D+w3kAF03t1k0THIgmYpyLkJEcrtQ76fQvZUnS5XkKX6yXcXn4NtiyZg8mOZ6DVuiCTaaFS2fG5rwXcNRLMdj+c8PcUKxKthLDbp2Nx6a3wsFVwscUDei+HY3afrksqyuKLAiqAhSwJb8fphhRKGRYK7iGChDcgalSyOxJ6/0jBpqdqjI5MphUtnFqtCxkZU7G+ag7e8J4H7r0JeNN7DjZVX4zPfS042FSMgz8chSmuzVhRtgLj2YsYz17EEs/NmOLajKysGUhPH4+MjKk4v2ATNlRfkhDBPNGsd6cqUikVpVSa8HbECymUgnZqH5Jax6GyWeM+mBbxmFJpFQmDVmunKDWJzdYlOj94XPJ/m83tkEpVMJvbRTGhq8qXwW6fjuPNfi8NxhZBLjfAYKgMiYs9VZFHeYNG+x6onJBIZNBqXfhR9rM4N201rii5C63sKeEYkd+bRypVnRKpF+IhQGo0Tlitnb0yKEulKjxXPQvc6hGndQ7X0wka0sBLQ8/afqpDSUpUU+Q8h6VsZcLbGAyJRBaWgHLA7/v9f5KlD+XoGQ6SP/9ZXOpSqewRYz3DxRvIZNq4xzUQ+WMmZDItnThxjI4c2UUymZa0WhcdObKLlEorlZl+SQ+uuIDo/3YRuQxEH35Lmi+NdDB9L53IURIZFETfHaVJy2+gSerD9OkROxWrPqJH96XRETpAaZRDHP2TRpKVqhUg7lg6Pf/lZcnYlVOguMhF39A39BV9leim9LtISUr1VE8f0Ae0i8LH2A6FEq8YaCKid+om09xdU2nrv84mIqLtjT4q+oeEvv76zbDnxxoHpVLZSa120LFj++jAgX+TSmUXjXu7fTp9+eU6ITaOiMho9NI33/xROCczs5sOHPiMDh78jI4fP0SHDm2jy0vvoQW/tdLo0deKzgVAEomk13YG3m84lhZqoT/Rn+gAHRjQ+wSvOVrSUqNyEv1pxH/ou/0f0NGj3xKRuF8UsCW0fedzVJO2iF7+d+f3MY+D9675dVUqVZFCYSaLpYM+//zOkPPiOY56KlXsTvqAW9XrendFyV104ISKOrRbqe2P9w94u5Il8aWe6umv9NcBH8fJcrJoSUv5lE/v0Dui36VSFZ2T/wSt++BMYX2QSlWUkqIS5rlEFb3eQ9999y7tOzedtA/vGNR7J1xSTkIMnoo/UShi18HhmC2wJfKaeh482+mm6ovRzp4BEcHL7sXx43txsKkY3O0jwN2sxK3l1+LoGQ5w10gwveBZTM5/BRPYyzg6YTT2NFagjW3EBPYyXGxxMj7jFEAGZcBJw9/NV05ytFBLr25BiXZX45GTMwcqlR2zih5HTo6fqZi3+EVrgUxN9UEikQ2IxTKQKTs3dx4m57+CnJw5IWNeIpHBYKgUfo/Eisxre+326ZBKVdDp3NBonFCp7MjM7BZcXwvYEjC2CE7nAmRlzUALexKHD3+BzMzuIfst+wI1qdFCLXGtMzjtTDCMZEQ7tUNJSkilqojfKpHpS3jLNP9vuBhZN7seRqO3x7AX7k/lGM9eREbGVIxlz/WpLYGpxbittp6/5/f9n7FF2NfoQV7ewoT3sSQGHlrSopZqE96OFErBKBoFF7lQTMWooAp4yYtyKoeSlAlvXzyRT/mwUmg4h1xuENYElco+JGOsifq+bvXFu25YWBaTTF6DW9zsejKSnU7QMdpD20lOKtp18P9oxAgHqclABsogjv5Je/b8RWA7lMsNtOt8Cenv+Zp27LiN7h13jEwp31BGyg5qH/UcHVcdpd//5wx69UA9bT9mpk+O76EPdq2hY8f20YVZl9EbR/bSv7ffQwcO/HtALKbJMvBFQxpykStESzecipGMVEEV9Bf6C31L3/Z6fkbGVOK4x2K+Dz+nxcOqVcXupCr5SPriqJW+pi/o9x+dTwqFWcQ6PL3gWVr3wZkh13bmb6GnP2wliUQS1b3Gsufo5rTbqeD3m6Nun1brohMnDpHTPpvUlEoq0hJH/6SdO1+kvXvfDxnvcrmhV+2tRCIjpdJKx4/vCzm3t/UiNdVH77+ZQd2d59Pv/zeHUlK09N1375JW66KjR7+lEycOJVx7HGupoir6B/1jUKwSFrJQIRXS7+h3dEIqE951pL6sUtlJKpXRwYNfDroFV6EwExERcIyUSivt3/9vURt0OjddPPpS+vOhNKpS7aTr/jYzbD02Wxd9880f+8X03sKepHLlXpr7owvItvBEVGOugT1C/9y9hnbvfr3P902W4VOaqIneoDcG/b4jaSRlURaZyETH6Thto220h/bQUTpKR+gIHaWjpCUtuclNh+gQfUPf0AE6QNtoG2HoixARSyu10lbaGtUzpKePpx07XhyEVkVfBsrDMFJJuHScxNCHQmGG0eiF0ejFFSV34fyCTdDrPcLxYIvEbPfD4J4wgnvaBO4VK7ZfLsOxcTkYz16E1dqJ3Nx5sFo7oVRaoVY70MzWo5StFOo5FeJcTkc0UmPC29BXjKJR8JEPcopvDLJW64LJ1Cz6LZ4xdXXsfuTkzIFUqoqJZXmJ5+Y+3zOclSYcFAozzOZ2TGAvo4U9idRU35AhmQqes3iiouDfh4PVsZzKB4VN0UEO/xhJ0UEikYW1Dif6XYSDVKqC07kgImGMVuuCRuPs0cMlNdWH3Nx5UCjMfe4TfI5XAOD+VN7zuf+dDze7HlZrZ8j8QUTIyJga9jqeB4C3sCcxfFBHdXFffwIhJSnyKR/N1IwGakAjNaKZmlFGZTCRKao6dKSDjWzIp3y0URvyKA9Skib83cWKDMpAARVEde5QndckEhkWl946WB4ciX/gJIYXDIZKeNm9MJmaRYOI3zxotS4oFGakp4/HEs/N2PErBY6e4cDOuSqsrrha5MrqdC6ASmWHwVCJ8ws2JV1uhjHkJEc91Se8HX1FG7UN6KLHb95SU30ishCpVBXCbNqTMOZ0LsDBszMAAB62SnSsM39LiMDIPaQPcW2vYnfG3P5by6/FZe4HMKvocYEduafz9XoP9HoPpFIVFArzkF1weSiVVpGLqlJpFVxcU1N90Os9Q9JdXkMaTKAJSKGUAbuHhCQopVKUURmI/H02cIMilxuEtEjBQspQeWfp6eNhNrfDZusKGYMhz9uHvsqX3s77oH6CcG4Nuyes4Gk0euFhq1DKVuJN7zkhbXWz63t9r1ZrZ9i0XUkMXTRRU9zrlJAEZjLDQx60UisqLRdBQvGZiyUkwWgajfHUez8bSgLlKBqFNmob0DlzsKDROHskmosXEu6GGo3LUbIMzdLKniKO3qfv9v2TDhz4N40cWUkaZRYpSUujyE1H6RDppCl0DDK6Y8tW2vmjv9ODezvp94dBaTSajtBB+oo+or/9ewHtOU9L5sdkdPz4Pjpx4hj9saaDqt96MtGPmCwxlGzKJilJ6VP6VOSSNhwIRP5+tpMueKGI/rx/04DeRypVUWfes/QJ/k6fbn+QvNYl9OGhjfTf/94jnKPXe6jauphe/egHIdcDoO1XpZB18XHht2B3NolERgV5i+mfH/2/iO3ozN9Cmz4a16fv0pOb56kynwe68VqtnbRjx4v0E9fD9OyuuyklRUu7d78+IMnT+1raqI220lY6QSfiWq+EJJRBGVRABfQhfUjbZd8SEQnPLZNpSadzk9ncTp9+umrIvI+eisFQSURE3333vqgfa7UuUqnsdODAv/tFdrPv3HT67NNqcv/huYjn+GVKf/l97bnk++MjouMSiYxer5lGF39dTKATtPfQv0VzRE7OHPrPf1b12A6l0kqHD2/v20MkS0JKIzXSb+m3ca2ziZpoN+0mTrKTvkb8yedkJCMf+ehz+pw+pU/DnuMkJ42m0fQKvRL3+8daiqiIZCSjv9HfaDi70AYXmUxLMpmhX67yPRXpgNQaQzkVNhana3nto8mUTZV0+PB2ejS/jKaNrKBv9/2NtGSm72gH/e7Li2jjv39IL3w6hXyN+yij9iWyynZRoxLkVPyXPqW36btjn5HV2knGhw8JTIkjRtjp2f1tZDR6Q+4pkcgS8KTJEk0ZRaPoS/JPVIFCyFAXFLMpmy56wkbv7H/2ewbN8H0sPX08ERFpNM6Y72G1dlIb20glzuvoMeul9Ev9TvpriZmc8r1E5GcC5cu/SjX0yr/OJADUzNaL6pFIJGS75gRtb/SRRCIJG/cEHKMPPr6K3Ox6stm6wrZn47/aov4uJlOz6O+e4gFPlfk8MN5z+/aNdOLEIVr7zx9SqqGOGkdeSHmOeXSoLZ2muDZTI4s9ZjXeZRftIj3p41KXkpRkJztVUAU1UzPpSU9baSttl31Lx47to+PHT35/g8FLwDH65ps/igRFqVQVl7bEq/Cxi0RE3377Fzp48EtKSRG3cd++D2nXrlfpwIHPROfHWrQP7+hRUCQicjp/Jfy//q2HqYhdJ/xtsXTQiRNH6eKvi0lLZroj9R9UPmIa6XRu8rJ7SS439CooEoWOU5lMSxkZU2N7mGQZlDKCRlA5ldNROhrXeo1kpEN0iN6n9wdEUCQiOkbH6HV6ncxkpkzKDDnuIAcZyUiH6fCA3D+WkkIplEZp9B69d0oJikR+Bd7hw9uphN1AarUj7vUn3LKYLMO3aLUuysmYQX+yPUBfHLPRqm9/Qt+d0NJTn/+CjhzZFaJl3lB9CU0csZXO2HY1gU7QDvo37T30b/rmmz/SiBF22rXr9SSR0TAtEpJQEzXR6/S68JtW66J9+z4MSX8wkMVBDtpJO2k/7Y/qfBvZKIuy6E/0J+G3l2suoKXfjKfXP/pR2Gv45+qp8PTWOTlzaJSsmrjj/0dvnrOSyu+ZTLX6n1HNiL/R6weK6Rv6knYc+xv95z+rRBbYOnY/vWxdRaY/bRdZB4LvzacGCEy9k509i/6Y9Xey/e735GGr6Muvn6Oq1Pm0+aOxUb2TZOm55OTMof/+9x46dmwfSSQyys6eRaMVzfTf43+kTz65ISFtcpObjtNx+oA+iHiOlKSUTdnChk5CEmHDtI/2kY50RESkIx39k/5Ju2k37aE9EeuTSGTkdC4g4Bht375x2KQ/CkyTEQ+CiP4Q8AVaGINLbf599Jf/XEIvVPyIXjrQQHd9upwkEhk9V1RGv/q6gd7+6Kd9bXKyDLFSQAW0j/bRF/RFVOebyERZlEUqUpGc5EREdIJO0Df0DalIRWpSk4QkJCMZ/ZZ+SybLePr66zcHVJknIQk1UAO9S+/Sd/QdqUhFHvLQUTpKX9AXNJpGi9bZRJRSKqWv6CvaTqe2xd1sbqcjR3bRd9+9G7c6k8JisvS7THFtpk9OfErVciNd95aVdLpmIiJSqWx05MguYQM8nr1Imwpm0i3/vYQ27rfQf/Y+Q3v3vk8GQyV98cVDRBTqUkeUZMMdDiWLskhJSvqYPhZ+S031RczRF8zWGa/SSq0kJSl9TB8TCLSTdtJBOhj2XB3pqIZqaAttCdEy8oJbT4JhAVtCKaSgn2mP0i/+7wrhd95FTKm00rc/kNIl/7iZntn9AP31xQO0+sdn074TanrniJKyUjSUlvI1/Uj3Al2zeya98FG7qP5o35FMpqVr3NfQ5e9eRkR+97PK7OsphRT0xr+mEBHRtr+fSRklPVs7kqXvxWj00tGj39KBA58lZK4aQSNoPI2nD+gD+oK+EJQlBjJQNmWTnvQkJSl9Tp/Tf+m/IndVCUlIS1raT/vpBJ0gKUkjurPyglZmZreQE1OtdgwLQdFgqKR9+z6k48cP0YgRdjp2bB9JpSoCjvXLXbM3gbMnN3yJREYnToS3JrXlP03b6UOyUwkdpO/oX98+SHZDB1XILHT3P8/uc3uTZeiVTMqkPMqjj+njHgVGLWkpjdLITnZ6l96lQ3RIsEamUAoZyECH6BAdoAMkk4+kY8f2kVrtoP37/z0oz+EkJx2gA8QRR03URH+lv9J39B21UItfaCUT7aDBzQ3IFx3pqJiK6Q/0h4Tcf6AK/9130+6QY/FmS014gGZfMRxY6k4H8MH32dmzwK2Q46tfywEAR5oKodE4YbN1QSpVwc2ux65L1XA6FyAnZw4yMqYiI2MqLip6FABw+PAX6HK9BCLC4UmZAgnA27VdCX/GJHpGMzWLgsV7I4+QSGRQKq0RiST6yoabTdkYQ2NQQiVwkAN1VIc6qkMO5aCUSjGKRsFIRtRTPWqoBiNoRI/1SSQyNLBH4HQugFxuQCt7CuPYC+gufBrv13Xg+JhcdLDXRHORVuuCVuuCTucWEdWoVHYcPvwFAMBsbkcrewrv1E2G1dqJRvYYdDo3jEZvv+a18ws2+ZkWv4yNKCqR+fCSiB+yKRst1IIiKkIN1aCGajCSRkJCkn7Veyoxa/LEMNGQNPUXUqkKpWylKM9iONxefo2w3rWzZ2C1dqKALcEnvnZwT5vQxjYKc5CX3Zvwd5jEAPQVkqKQCtFETdCRTnRMTnJ4yQsveZFP+TGN58FklteRDq3UigqqEMiwdKRDLdWilErxA/pBwt5vOZVjJI1M+HeONwqoAONpPKqoKuxxmUzb434sBiT+YZMY3thcMxNl7BYQfZ8y45Ofo7vwaWRkTMWG6kvwia8dm6ovBvfwSLzhPQ/p6eNRyJbCbG6HydSMwHJFyV2iuqNhl0sisTCSEeUkpoGPlPSVZ8sNFoikUhXS08djHHsBFksHAMDpXIA1FVfBZusSNqvRCDUjaASaqAl5lOe/J6mRSZkYSSORR3koo7JehcRAbGuoBwAcmGLFvkaPaIPJp5SJtq4dv1Ik/HslcWpDQhJYyAItJZWp4ZCoBNvHm12iuSzcce4fk0WMvJe5H0AluyPsMwQzHCdxakBFKtRSLRqoQUALtcBAhj7XKZHIBJbswWAnHkWjICc5RtAITKEpaKEWVFEVyqkcRjIO+juVkASt1JrwbzsQkJIU7dQOJznRQi0ooIIQllej0Ytpruf7e6/EP2wSwx9F7DqUsBvwVu0UVLI7YDBUgnu7WiQI3lp+LW4vvwZ7GivA2CLY7dMFunru4wvAvW5HZmY3OvO3oIhdB5XKHi+NSBIDiFqqFQlfPVnGJBIZDIbKiMfT08fDYKgU0kLk5s7DqvJlOD4mFw7HbLSxjVG3q43a4vJ8bnY9UlN9WF1xNTIypiatcEkkMcyRKEELAMrZbRjLngvxqlAozNhQfYnw90T2KkrZyrD12GyJ97ZRKq0JE7yTc3DfoNE4B9VLYASNgJWskJEMMpLhLDoLFrJARapBzbdbSZWwkS3h73+gkEZp8JEPEpLASU64KDTfsl7v6a+VOfEPmsSpgSmuzehyvQSZTIt1lfNRwm7AtzMNWO65Eeur5gAAqtkazHY/DL3eI2hHjze7/K5zf+vAdz9JRTVbg8Wlt8JsboeHrYKPrRMsVclFYmhB9v/ZO+/4qKq0AT93cqdkMpNMkkkyCWmEcEkgQIAIASJFUFFRWRfX8qHLWlkXFXddF110XcW6ymJv2HtHZRUVxV5RQZESOsRJCOmZJJNkkvf7I86YkEJ6gXnye38wc+8999w7955z3nPegipTmNLku9ZWFTsiRqNDJmgrpO7YIZKqLW0wUz41rkNJ54/l2C6b3x2OYrGk9Jvcd4e7+Ce7/NKSzNY+9LlpNP5+uHaz7//V1fukaurIFo+frr3S59cw0MTr+uAfQ/TR/UeRQQySFFJkKlNFQ+uV8xoxDuj8z+2VBBIkgwxRUFrN15mYuLArEzx9f5F+aSrdMdjuinSlMd04abZM0FZIurZc9u//rzhv0omiqA3K4PM2ERGZor0gO7JmylHag7Jq/AJxOOY0+GY8ECiJiQslOXmxhIVlickUK0lJiyRTe0wma0+JXm/z+6n2M0kmWeKI67HyF4x4UQBxPhsiiqLKVSMflaio2e1Kmu3139Kjb3UfiyWlzbJ609+jJ6XxNfoVxd4Vr99qZxK9+6XvJCgo2edD393iNWWPj79AIiNn+fq1mJgzxW6fKYDPIsfhmCOKosrQoUskXVve5/elr8S563LZv/8e0elMnR4HqKrF50/euIyulOmXzslRHCURRPT4eYYxrMOrigN1QmEoQ2U842U84yWc8GbmqNBgkmo0OkTTru/YPaEf0d9yM/UVfZ2rLCgoGb3e1qlj075YxdfZF5Cpj2bYsGeZ8eQNnDT0PXQ6PcP/nMwxw14ln2xm5KRwoGYjJ339ALm5r3N6/hzs5+/klggjNl08CfY/oNfbcLvzyC54jBoqGTH4ekym2A7XKTg4naio2Z26Hj9tE0usL7diR2jvu/7gzw3RPGPPqUbEw4/Vg3C5tpCcvJihQ5e0eewe9lBCCSZaPldoaCYb0mOJiprdam7Fnkpw29s0jsbYlYTjPYmqWvq6Cj1CeflGwsOnYbWmodOZMJli/fliBwAVFdspOyhSqaKoBAUloygqqmrp9JjFG9I+N/cVDhxY44tYaLGk4Ag7jtDQTE4Y9i4Aa4dUM27o3WxJfJ4Y0jp/QW2gKComU2yn+/3eIGbwXURFXUp9vbvTER49Hhcu1xbKyzc2KaO+3k1i4kIytcc4UVvTXVX20wYb2ICG1uPniSSS/XQsx+RAjb6/jW3UUEMOOYxhDLOZzTjGNdmnuPgrqqvziCAJo9FBWFhWu8tvl1bZm/bFful7iYubL86bdN1e7rmpb8hx2ioB5LPMs5v4NI7QbpU07XaZoa0Uo9Eh8fEXyFHagzJWu9fnoN0RM0Sv6HQm/6x+N4sRo2SRJeMY17njjQ4Zrz3c5DuLJUWMRkebv7GqWkSvt8mCES/K8rG3yOJRjzQJCNFY9OhlJjPbNEWdqb0pk7QnJE27vc/vaXdJePg0gYE7O9rdoqqWfrNCrCiqVJ8aJ84f/cFJ+ruYTLGyYMSLcuBvTfuPl45aJFnaMzIv9S2JjZ3XpffMZstostJvtabJ0dpzvj6x6vSYJn3k4lGPyJAhV3bZZ9FodHR6TKfX28Rkij0sV+IMBruoqsXnAuNwzOk3bcfhKK2ZS3anHOwmc7iLEaNMY5pEECEncqJMYlKr1lXOR4IkRbuhvWW3vvG+sTeKqlpkYdqzvsaqr2+EX3pPnM/b2gxG0hHxmg7qdCax2TJkjHa3PJqxREqnjBMRkatGPio2W4bExc2X2Nh5YrfPlBHarTJZe8q3XO7tpPr6vvgFCSFERjO608erqkUSEhaIwWD3DcR0OpMYDHYJCkoWiyVFwsKymhwTFJQsYWFZEhNzpsTGzpOPM88RiyVFgoPTxWh0SKq2tEngiqM5+pChsi2WFElIWCCjtWXy5cQzJDg4/bAx04yNndfndfBLczEaHQ2KQNXmPq+LX9qWIUOulPy/GyQhYYFAgwIZHJwuzkeCxPmoRRaPeqTVIDTtFYslRSZrT8lk7SlJ026X8j/axeMpFhERz/FJIiJSUfGDLyKz81GLXDXy0T6/N345vMVgsPsmHntKUkmVYQzrkbIVFIklVqYzvUfK78/+6GMYIyGEiB69DGWojGa0qKi+ia0IImQ4w2Vy0j0yTXtJnP+iPYtDrW/My/uPtER3XtThODvll5bF7d4mQ4cu8flk6vU2OW3Y++L86VQ5I+Ud2ZM1XUJDM0VEmgTh8K9q9z8xYpTxjO+WsryrhXq9TSIjZ4nJFOvrpLztg6KoEh4+TWZqb8r84a/LGO1uGa7d7JsJjoyc5Zt4uC39ThmhGyPJtP3ceJXUSdoTUnxxiK99Wz72FklOXtzydffjDuJgSUpadMhr90vvi05nEp3OJHFx82X+8Nf7vD5+aVtCQzPFak2TPVnTpfyPdsnSnpETtPdkgrZC3hj/FwkNzRSTKbZdK4xBQcnN9rNYUpqNsT7LPFtmaCtluvZKs21PZlzdqQkt73kXpj3b5/fULwNHvJO4Op2pR+JpjGa0jGWsmDG3uV8ggTI2YKIMYUiL261YJZNMmcY0X8qRVFKPyCB3Gpo4aBireJXmKUyRKUzxpTEZH/kXOYqjfFZV7VhhbH2jc/tFLSqLq8YvEKPR4XPE9otfOiPOL0fLnqzpUvQXizhvU+XLiWfIualvyDTtJVEUVfR6W5cH5/5Bcc+IgiJHc3Snjm1rUOVwzJGYmDObmQ4ajQ7R622+QA+jtWUSFzdf7PaZoiiqhIVlScKgc2Tb6m2y9l9rZYJxlkDzYC6NP8fEnClxcfPltvQ75cAVgU3auP763HiDpRwJ4v0N+utv0R3XFx0919dZH06J7w9XCQpKlkztMbFa0yQ8fJqM0G4VTbtezObEdk9822wZTfY1mWJbHGd5cW4777f/f5HWqTbAO6nmN03vflEU9bBto3pLooiS8YyXaUyT/50yXUYyUkIJFYO+oU2MIEJmMEPSSZdxHCUhlqZRgscyViYwQYII6vNr6Q8yhjESTHCL27zK88GBf7y50lsT5df/tIiIUFubh17vaPL90cOe5bPsea0d5ucIRVHUJoE0DsUsbTUeajgxaDNvVQzhADvRYyKQYCopIbd0DcXFX3XJod1PzzGVqXzMx02+Mxjs1NQUdNs5TKZY3O4cLAF2outCqVbqCAw/CqkuZlBwFtWlPxNEIPXuQmo9ZahxJzHHXsOl3/+Tk4etZVX2MU3Ks1rTiIqazfbtt6LX23hhzLmM1G/Bcu5nRF9U0WTfY4a9ysfb5yHi6dBz3Z8IDc3kqoQzuHr9FX1dlU5jsaTgcm1p8p1ebyMgwHLYBCCChqBPaclL+TH7yr6uip9W8PZxer2N4OB0VNWCx+OirGw9DsccXzCjHTvuaPV4iyWFl4ZP5IuqsWTXJJJTf4CXr11I9LzSQ57/fxP+zCnrniAj+W7Wbb+sXYE4QkMzURSVoqLPOny9ftqPN0CXf6zSNQZFn8mah9ycecouQgmljjrMlmGscT2ODh2JJBJLLIUUUhBsQSszsJOd7GVvX1e9X2DEyFSm8h7vtbnfdKbzMR9TTz0AM7U3WZN9SpvHtKpJVpwVJZsnn9BspqtxAIqumgj6QxYPPGlrFm1p+l0dKissLEsmaCt8z8KQIVeKqlpEVS0+/7M07fZDrjB6j+nre3MkyUhGip2Gmb8x2t3dvjLSeBUwiCA5juMkiSSZbDtPhjJUBjFIincVy9718yUxcaHPd7GtMkdot8qQIVcKNJiXnZHyjji3zGt5Rn/TH+T5o/42IH3/vO/oaG2ZiIiUlr7f53XqjBwqkIeqWg6bWf0DBx4Rp/NGybv68Liew1X0epvPNM+b3ikxcaHEx18gmdpjEhc3X4xGhyQkLGjWdjgcc2SEdqvUHTukzdXE1nh43HW+sqzWNJk//HUZrS1rccUwODhdUrQbui3ugF/aFm8QPqPR4R+LdIOEhmZKhna/WA0NqbkOjlfhwCGTmexfTWwkQxgiU5giYYS1uD2CCJnCFJnGNBnBiCbb2jF+a33jFWlPtthg1Uwd7tvH/1L4pSWZqb3ZLeUoitokUXFp6TvNHmpvR5mYuFAuGfF8n1/74S7e+z2d6RJIYLeW7fWJmKa9JDExZ0qm9phv24yAliNIms2JYjYntsufYrz2sMzSVstobZkco70mpw17v83BWd2xQyQ+/oIBOeBy3qkX5+azmlxPX9eps+LNSwcDw4e5M6ZpqmoR5/8ixLnjz+Lcd3WfX4NfDi3BwekSHT1XpmgvyKMZS2SK9oI479Q38YFO02735fUzmxPFaHRI9uTjxPnj7A4ri43fA+8zExNzpsTEnCkyXZPzh7/aZPuhokv7pXvF+947HHOaBWjzS+eltf7r4LFge/WRxmMFsznxsJlwHM94GcnIVsdlM5kpOnSio1OZDlrfaLGkSM3U4U0aq/cmnCfOn0+TumkNDVB32MAfLj/UkSjzUt9qdVtHw3u3tCpktabJbO3DZp3mLG21GI0OX7CIqKjZomnXyyxttRylPej3zehhGcxgGcrQdu0bGpopdvtM32/S3ve98cqiGXO3BNSx22fK9aPvk48zz5HCKePF+ailzcHZnGEfSKq2tM/vd0dEUVQp+kvT6/pm4lwREV/amoEuM7SVYrGk+PxY+7o+rYlOZ/K1U+3ZX1UtItO1VgdHful/YjDYfb/Xbel3ttqWONdliapaxGCwy2htmVw76oE2256WyMlqOQ1AWFiWzE15V/456iGxWtN8fWl/fjcOZ9HpTB3yY/XLoaV0SkOaLueuy33fdSVyeVBQchOl8XB5VyKIkIlMlKM4qsn3CorMpEtxZg6905MZV4uISN7VqoiIeDzFfX5D/NIz0hkly/mktcXvo6PntjtAjV5va7FhHaXdIfeNvVEiI2c16TQrKn4Q59djmxz/wLh/S+GlQfLNxLnyaMYSsdky/Kk2ekgmMUlUOt64Hmx2fnCescbywLh/+/4fTniXUnU0FkVR5YFx/5YnM64W567LWx/cPWpp9fntq0FAe019rdY0iYubL5O1p0REpOgvlsMqIJmiqM1WWQ4nacxAm6zoCTGZYvv1CpnVmibJyYvF4ZjTJNXYwaRoN0hk5CwJDk4Xh2OOOO8LbHXf1mgcedVrEjtNe0nmD39dEhMXylHag2I2J8pobZlM1p7yrXAdLoPhgSDeSeyEhAWHdTvVFyLSMIlWNXVkp443mxPFZsuQmJgzxeGY0+fX01XRo29xJXEUo5oEsBnNaImlS+PhQ+8UHJwuzntMDQOoe0zi/HL0gAoh75euSUsD48YdT0zMmeLce1WT7RZLSodXMa4ffZ9M015qcg6HY45M0V7wdZQnamvE+fNpzY612TLkZG2tuN3bxHmbKvv33yOFhU9L3bQUiY+/oM/v4eEmXUl025bCE0GEjLHMlkA13NcpAJJAQqejr7YkiqLKvNS3pPakxDYHZjUnx8tVIx8dEKaPLUnhlPH+wcoAFEVRmzyH0DBx1tf18suhxf27lqOblk4ZJ6O1ZZKlPSMJCQskMXGhjNXulWcyrmq3ouh80SahoZkSFJQsiqKKqlokVVsql4x4XhaPekSs1jQZrt0sM7U3xfV/keL+XaxUnxon1456QOLjLzisJoz6u3jNjr2pV7zfe02X/dGPOy4ZZMgUZbqkkSYVByoEkJpZgyWUUEklVdJIk3DCffvr9Q3vS0tleaN/DmRdJoYYmcEMXy5JPXoJIECgYUI/lFCBhnHVBCZ06Vw62kFZ2XrOu2cluVvP4baHHgG9lbo6f8SnIxkRD/HxFwDwQGw4I8d8Q2TkLN/27Ht+4f1tczpU5itVFTz3/leclfI/9Hobxw5dySdDKlkS+ltUp+e+qSIk8WpeHX8Zer3N931JyToClHqKCp4ELYSw+cuo3vs4urWbeWVQCSnaDV26Xj+/oaAgSKePr6kpwGJJQa+3YTDYSU5eTHBwOhYsjGQkBa4NTJAMpinTmPLrnxkzn/FbNL/zh7+KiHDf2Bs7VQcRD89sPpkHcy+ksPCJVvfTv7mH60Zdjcfjwmh0tLpff8X+6feUla3v62r46SAiHsrLP+LPaS9RdWY0IoKVSIYM8UdK7e9k/XwNJZeE+D6fPGwtl458jttLLuIv1hJmmQu5MDQVzTCLUGL5yj2awkVB7St8ZznpEVeiDbqM9KHLOD35RR4J28SSmy/lbzMuo2iKi1cjPuW5U+eiPPw/jK/to/D2Yzjb+iZWUzJ6vY2wsCxCQzMb2lxLCoqi9tCdOLLxeFxUVu6momI7NTUF6HQmdDoTZnMiI63z0RKvwmCwYzDY+7qq/R7vWM+KlU/lI/LI45iIY7jCfj9v/TydcREXUEghTpykkYbVmgZAbW0JxcVf4XDMQaczNSnzh+zLAJiasML3Dgyk3yKAAFJJ5UM+JJ98MsnkaI5mEpOIIw43boopxoSJ0YxmHeu6dL42U2c0pmFyEz6ZeC5Db3yfxJM83Roi38/AZciQK5uFCp+uvcLa7LmHPNZqTcPl2oKIh6rTYyj+awT8uA3lmTG8VTmD860vUZbqZOeGmWhDPsXyVH6T47dlHc/m2qH8bt2jBAbGAg3pFgoLP2KK9gKvRC3Hc+YG5t31LJ/tvgiTKZbq6jyqq/O67wYcYVixkkwyP/BDl8rxpsXwokdPBhl8yZeHPDZDu5/jTQG8VLWPMwMHceOPf27XOQ7mRG0Nr24YhMmU0uo+9fUuTkj9mOya1eTnr6Kycvch69efMBod/ud9ABMePo3Cwo8AyLtaZcTDWb7PXaGjqY78tB/nvxVi/tUwZpqhreQ0y09EBBSyyjWdSjGRXf8TkWgEK4FEqkXEqPmcFLSWpNFrMC/fQOFP56CLPZXAwDSCgxsmYXN/OhnjI2uZ+u6/CCQYB8OYYfmKc96PJSysIZVZ7uYzQG8B126oKSH09v2c/NMDbKt+mz17HkRVLeh0Jv/YrZfxKiMiHhRFJTZ2Hl8vepbov9ZwYMpEjtt/JuuzF/VtJQcAgxmMCROb2dzk+8b9/BSmckL6HP74Zi7HzbSjYmDjziWYzcm4XFvalW6mv6OgMJaxFFLIbnajQ4cDB06cZJHFJjYxmtF4aGjff+AHXHRtga/dyqLzrQjGXTQVp/NlPpz4J+b8vI7y8o1dOrkfPzZbBiUlDTMeOp2JwMBYyiYJRWlOTAUWyv8A6CAo6ykqPjmX6Nn55K6bBJ5KViy4gLHGn7m7ZDbvZc9uNcffJO0JwoinBCezzIX8LWQFIV/m+jvMTjKYwXjwUEIJFVQgiq5Dg05vbrKWmMlMPuIjBMGBg1/4pcX9dDpTuxr99yacx3FfP9bmPoqi8u74czn2q0cPWd5TR13DCYFriflyY7/LpzVKu6PNHH09qRz4FY/WSUpahFmN4edt1wB0+T6doL3HO9nHdakMVbVQX+85LAZOAwVFUQkJScftzvM9A9HRczEZIrESSQTJlOLkouDNnDnoGQqXjiU6bWWTMvLz7yXyzHu4qfgvXB1xN/svKcE4ZTnV7u3knv4T95ScQ7JhLzm1DvbUhrKDL6irc6HTmdi9+15qa0t6/8L7Af2xfXJNSUcfWkh9iQ338D2MeONEnM4X+rpa/Z4pTGEd66ikssn3adrtbMy+ypf/OTx8Gj9tyGLGMSaOChjJU5tPxWCwN8nbPVN7ky9/+SsVFdv74lI6zUhG4sLFLnY1+d6AgalMZQ1rUFAIIohyyrvtvO22WRURqT1hsNwz9iY5f/ircu2oB/rcZtcvA1f0eptcnva0z//R4ZgjZnOinJXyP1EUVc5NfUP2/0MveVerUl296ze/jXtMEhc3XwwGezN/yrb8AOz2mTJb+1CezLi6SUoGv3RMJjBBjBjleI6X6UyXBBJa3df72xoMdgkKSm4WQEmvtzUJQuTAIVOZKsdwjExlqi+PY3vk4FDlJ2jvScVZUYd8BgGJi5svVb8fJM437C25ComISFnZWhERycv7T5//Bv1dFo96xB8J8FcxGh0yWlsm6dpyiY6e26UIfl7Jy/uPOL/pWnTgoUOX9Pm98UuDhIdPkxTtBhmu3Szp2nJZmn6X1B07RAovDZLS0neksPBpce69SpwbTpADVwRK7tGT5fmj/iZ101LENSVd3hj/F7lkxPMyW/tQcq/VifNJq3iOT5J3JlwoKdoNMla7V8LDp0lS0qI+v9beFG8qi/4Y3MdiSfH1LUvT75Lo6LktBuQ7UVvT53XtTxJNtGhozb6frr0iwxkuwxgm0NDunqC9Jw+M+7c4nTdKSclbUnV6jDj/1fS4+8be2OfX1BEJIqjF+A06dDKd6RJMcIfKa++70e6VRS/Ffw7m4S//RZ7HzraaODbWvMbu3fd2pAg/foCGVcXg4HT27l3RbFtjsw2AS0Y8z/FBn7GlJol7Cn7gm7ecTDtjCtu339rh2fGYmDMJtaSzefv1iHgQ8WAyxTIp/m7KyeeHnVcSGJjYr1bOXVPSsXyyvq+rAcBUpvIN3zCKUexlL1asZJPd6v4Gg53a2hLShy7DiIUw4nl/11zq6tw+v0WDwe4zrbNhI5VUjBjZzGb2s/+Qdao8w8GGvVM5/uetlJWtx2pNo6zsJwBCQsYc0m/PZIolM34Zx5t/IUbNJ82wlbGfv9psv+KFVsa/u5Dt2289ZJ3aQ1urrH1NW6u3iqJiNDpYkvJ3rhz8HwoOJBE0cj2nf/AMn+w+z7dq3x9n9PuC8PBphISkA/j8mCoqtndqZW+K9gLD9QrXnXkm2/43j6lfPd3hMkJDMwkLy0JRVPLzV/v9Wukfz6rVmubr+/R6GyEh6eh0Jgy6YDzUYKHBp6qOGso9ezGoYbhr8rEY4sneffsRYy3T3t+qP/ymjfG2qQ3+iyrBwenkHLudkevmUV2dR0HBR226TfhpcFfJIou1rG3yvQkT4xnPp8oXiHhwOOawf/8q7h7zb55yhfPGS6/B2o8I/yiKwvmVxPyu0HdsUFByu1YXQ0MzKSlZh4in3dZN3YkNGxlk8DmfU0VVk22Tmcx2trdrvNSYQ7nqeOmwsigiVJ0Zzck/PMie+q+6bdDk58gjODi9XYOUmdqbTDT9Qp7HznpPId9mL+iW80/RXiBNLzy4+U/odCrHJr3G8Zbv+LIynbGmTbxSGYSDYegVD+EBJYQGlHHvjhub+KyFh0+jtHRdtw74HY455OWt9H1O0W5guDKRdVUvtqhY9zYnczK/8AsFFBBBBFvZ2qI9fKq2lJzcFzh+0J0U11ehYuCasOf5rjqNM19z4rjgfxy97zr2uT8BwOXagr2kGIdE8n3AJlye9jV65eWfUr71aijezsy/XMbXE/6L5al8ioqewXXqYyR8trbN472NflTUbP4RczRn3rqM6ONa9vG7Y+wd/P2Hv7erXj3Fidoa3s6e2SNlG40OBidcgpkwaqhk255lTfwdVdVCcHA6xcVf8cutELI+nHO+f4bHppzO2A/mc5TheE62rGV7bQLXb/gL0dFzqa0toaBgTY/Ut7+jqhagYcIkIMCCzZZBZeVuyssbzJi7MtjwxhFYMvphbvrx4g4ff/CEXFv4/V57F+8kkqpaMBodKIqKqlqoq3NTV+dq0gd53TcGmildZ9DpTD6/P+9E70DDbE7EaHQQEGChujoPg8FOeflG7PaZWCwp7Nx5R7+dQOwvDGUoCopvkjqBBFJoiDvwnvIB0NCu2e0zKShYg8kUi8FgZ0HCpfxj2mXUG+pY/M6zTDGvY/53/0HEQ1zcfPbte6LJuNRsTuTCpBu5a+M5zerQm8qigsJwhhNGGF/xFbXU+rbp0TOJSexkJ/vY16FybbYMSkvXt2/ihQ4oi3q9jeopdvL+m0Lov38g+oNon7+ZnyOX1nwFG+Nt3PvbTJ/DMYfU4HnksYX8wjWYzYno9TaGqScyIXAb5fVmnLWR1KLydcXz5OQ806T+JlMs9fXuJnbwbdHW9et0Jk5Kfod00xYqxcTb1b+wdftScv5djXXRJ5Q7VxAz7Mluu/bOEkIIkUSyk51kkcXHfOzb5p2hM5sTsVrTOHCg4Z6OilnM1sInmBT+L0ICXNx5ymn8a9UznGVdxUrXTD6vqUaKvyNSl8Bmcz55+1ei05morS1pMkg9bdj7zAj6iku+W8J/x97OXUW7+HJlNtHpH5CfvxyTKcUXEOL7yb9n3BevteuagoPTSXUsZL71F863vIjHUUTgC7m4XJ9RnnM/bHmPKX+/kJycZ6irc/UL3x/nQ2ZiLq485H41U4ezw5PAiC/XMjH5YT7PPrfVfWNj55GT8wyxsfMoK9tITU0BqmrB5dqC2ZzoCxKw89M4+PEnSh87msiAQhJ/qMRgsHNtwvG85hrMD7lLKS/f6JtBP9IGP15FLDAwFrM5GZEG/0CLJQWPx0V5+UbfbG5X7o1XYVQUpeuV9tPvaFAqTCiKSl2du4mC5P3X43H1qz61L2kc8bK/++NGRc0mLCST8sot1NQUcODAGv/v2AEmMhEVFQWFGmr4iq9QUCgqfg2bbQ65r4VDmJFxZ09miHUOP+bdgU6n4nJt4cWx5zFcv413q6Zw/c5XyYxcyurs36L5t1cRVFVLj1uhDWIQqaSyla0tKoOhhDKCEU2ixbcXVbX4Ji0ORadWFgGSk//OgQNrDpvoQv2ZvljuhvYpgQCjtWVsyP5rj9QhPv4C32pae+vTUfR6G4qitlh2R+69d+a3rQa/cXlGo4Pa2hJEPIwYejMXWOpw1ZsJ0bk4PvBj5h84myL2ksSkBmW28itycp7p3EV2EwoKkUSSTz4BBJBJZquNlHc1wmCwExycznnRZ/FY7vPYw6b4AjqYFEGn1FNQX8rp7vX8cd01BEUEkftEMMSYueDSZ1lx0+mwsZht757DmNT/4Vp6KdEx1wPwwvgreah0Am84bqPi8l1En9ZgWjJ+2EOdWoFWVQuDBs3D6XwBiyWFoyKWMNaUy5MH3qWo6LN+t7py1ciGoDxrqqtYt+VizktbxRObftfivt62W8RDcfEL2O1/ajL7umDEi9SJjuAAF5uqB1GKEzcuSut2U12dR21tCeXlG32rG+lJt/MnSyG/+/fdVN02mrgAJ4+6zuDvW5/H5drSa/egv6OqFszmZAICTISGZlJX58ZsjCUn9wWqqnYfss1oi6io2eTlvYXdPr1bIqT66d94Q/t7J16BI8b0tD19sU5nwmRyYDI1rLR62+v+tiKZnLwYnc7EdxPvZc6XK9hYuoIRIefhpoxvdy3ivlGXcdF33ZPuq71mhgMVFdUX9dNLcfHrqKqd+noXFbv+S+L470lO/Cv1eMgveA+bLYPPHnkRitzcd+OtvFi5i1cjN5P1044OKX495UZiwsRQhhJBBPvZz2Y2U0+9b7uCQgIJvmCDKiqf8mmz+9CddEpZfHPCQu4rOYH1JfdSUrIOsznRv8J4BJKuLfeFe/Y2SBsnzWbkl6ubNcZdMWNKTFx4WPnFRkfPRa+3EW3KZJQawtM7r6C6Oo+MofdSi5ucolXU17upqSkgKCiZtJALsCpWVm6d4Sujr8zCIohgJCOpow4jRnaxi21sa9exXpOqEYOu4sTABjOK96qCqKGSIk82maVxPHPgilZXSYqKnuGDWd9x7NjHOXrtP/ly4u1c/d1dvJT/NLmjt6F7r8EMK/epYGbc9A82Zy/p8PUpiorFkoLR6KC8fCMBASYiImZRXPxVj/t1ddekUGhoJlvTIPLTr5p8n3utDscNddw+ZhlX/fDb5M6bExYSqFSxpnIy+2odbK7fRqIykl2ygZzCN1FVC/v3r2pW1/HJ9zNYF8Wd157Nt3fN4xv3KJ53bWbnzuVdvobDEas1jSHRF1CPh5yClZSVre+WgYbzo1gCXywj9IGybqilHz8DF+/EjJfKyu2YTLFUVu5u0bKpL5XGW9L/y6KQx5B3nqPk4xlM+vMffOOc/f/QE3Vb7SFK8HMorNY09u27hcqCt7j4xLOoo44fK5/A6XyF4j8FUpFcBudczdBhL6ANuoyyur3s2nVvu/thvd7W7VZGEUQwilFsYAMFtDwRNJGJ5JPPLnY1USJ7mg5FzklKWiSXjHheRETqZyRLXNz8Po8OdKRIb0f0Cg5Ob7EO3giSRqNDAImPv8AXxat0yrgm+3v3eTRjiQwZcmWb59PpTBITc6avrIOjWx4ukpy8WKzWNJmb8q4kJy+WVG2phIZmSkLCAklOXizQEB2v8X2Ji5vviy6pqhaxWtN897Y3ZTjDfRFK9ehFh67VfS2WlBaju3mfo8naU3L00GdFDbBIypAl8sfw+6T2pERxfje1xWikhZcGyX/G/BaJNDg4XUZry6Rq6khxPmkVEZHKyp+kouKHLj87er1NdDpTn9zjnpSWcDpvFGlYdmwmcXHzJUO7X8zmRDEaHWI0OsRgsItOZxKdziTzUt+SW9L/2+fXNRBEUVQZrS2T+PgLJDQ0s9vac+dNOimcMl5ysqZ0e53t9pl9ft/84pdDSeN3yWCw+/qd/hgFFRr68ISEBbIja6Y4HzKLiEjB5Wbf9ofHXdfndTxcJPfoyeLccII4vxkvadrtvjGqzZYhX048Q5w/zpbL056W6Oi5kqLd0KGxg7cv7K66ppIqmWS2Oa4yYGgxGmpXJEO7vz37tb5RpzNJUFCy7/MD4/7tUxQqKn6Q5WNv8aUgaLyfX7pX+luDFxU1W0JDM30viU5nEufms8RgsIvZnChPZlzd7AUymWLlgXH/9j8nLYjBYJfw8GliNDpkmvaSzBn2gWja9W0eY7Wmyd9GPt7rdc0iq82G7OA6ev/fUhqFEZbj5OzQW+STmz6R/508TR5L+4ckJy+Wc1PfEOdbEeL84RhxbjtPnO87xPV/kfLwuOskMXGhJCYulKio2RIVNVtO0N6T+8beKM6XQxsUn0eCuk15MRodEhqa2efPR1fFYklp8tn5blQTZXFe6lutHqdp10tYWJZYrWlN3vf+1iYNBNHpTBIdPVeiomaLxZIiBoO9SVj/rtzT3H8GSPbk47qljpp2vaRry2XIkCul8NIgWZj2bK+mQWlr8NWdAzO/HB7SUgqtxtI4fVNf17Wx3Df2Rpmb8q7UHTvEN9F5nLZKkpIW+dMOdfPzERaWJUvT7xLP8UlyorZGLhnxvISGZsrQoUtkpvamOD/T5IFx/5bk5MUSFJTcLZNkHf0NxzCmxZQgB0sGGRJOeK/fx0OaoTY2jVIUlcDAWDJjl3G69SdOfUvHsGEv9qsUA/2BvvIx7A1MplhqagoICGgIPuINaDJkyJUEB8SzbvOF7P/pVJIyNzWxk/f6EgQEWKipKeh3vl/9BbM5EZMpFo/H1abZo8MxhxHB8zETwlvZ03utft6Et52h8XsxhjHUqQacIVb+GPN/XJt5Bd/9NIeLCxxYdTFcZC3mrLH/pTbYjb7MhN5lpM5Ui6HETNGsIgK/1yNqHTXBbuSzCcjibPi+gP+8+AT3b/tHtz9fPWFu0hpmc2KTaIedpWrqSDzxeby2+QJOG/EI475cyIEDq/nX4FP5w92Po7y7nYCPxjczV52kPUEIMXy451z/e9qNGI0O9HobHo+rRR+irvi/zNJW8+awi1i08zbu//msLtVzuHYzYcTjpowhusGs2nepz4yvN/DeB6/JoNenvL1BxPwc3iiK2sT30GxOJCDAQkXF9oYgjI3aLK+vYmBgQ5/aHf6dycmLqakpwGSKJS9vZafjdji3/pGq838h8KS1RC/2kLvrUqIH34Neb8VodBwR0W17gpbG30lJi9i9+0HmDXuRJzedQsXUMdxT9keerqzi0+Nv4oOvLiTr0e385+zTecu9udezPET/+vc937e5nwULoxnN53zeSzVryiG18saf56W+JQeuCBQRkf377zmil8t7aqZKUVTR6UxiMsVKVNTsHj9fR2T52FvkP2P+I7Gx85qZfnw58QxxvhslhYVPNzvOu8rkvK357LndPrOJeatfDi0JCQvk+tH3HXIFsjtlHOMkmZZXhjvybAYQIFOZKhZLikRGzpLjtbfljJR3ZLr2ilw18lGZpa2WmJgzJVVbKv8c9ZBcP/o+uWfsTTIv9S1J0W6QqKjZMlv7UPb/Qy/OGxV5b8J5cpy2SoZrN4vdPlP0etuAfJa897A1093OyBvj/yKXpz0t9429UeLjL5BJ2hM+s1PnzoUyWXvKt29oaGa3JIz3S+tiNDpaXEFsvGrb0dUzRVElVVsq3006TQ5cESjHaau6pa7R0XNF065v4j5wpKzsdVdf61+B737xviM6nUnM5kSf5URLLlGKonbqt4yPv0Di4uY3WWGyWtMkLCxLjtaek8vTnvbV5W8jH5cFI17s8DkuT3taqk+NE+eevzax9Phm4tzDdmWxt9+Hg01KdTqT7MiaKUdrz0lO1hQpnTJOnN9NlQNXBIpz+0UiIrJgxIu9Xs+pTBUTbbetEUTIcRwnZsy9Uqdmv92v/2k3w7WbUdCxYfDDLMy5hRHG7bzrmsiq7GM6UswRj6pacDjm8MsvLzSZsdXpTERGzqKiYjuBgbHk568mJuZMSkvX9ersbmuoqoWtmZm46oP4R8GfuTz0VU74+hEcjjnk5r5O7pazwbWbmKO+bHKcdyawtcAsycmLqa7Oo6oq54jNydZRThv2PgCvbT22R8+joJBJJnnksYtdXS4vlFDSSecTPkGnt2KxpKDX2xhrW0Q9HiYF7sEtBta5o9ChY6PrGZzOF5qVk5y8mLKy9dTVuSks/AirNY36ejd6vY2Kiu0EBDTkuBtIkeCMRgc2WwZ1dW4qK7dTU1PAiKQbKKnOZs+eB0nTbmdj9lXtLu/LiWeQcNprEGYkZ8UsUlI+ZOFXj3Prgj8Qc3l1D16Jn47Q3pRCRqODmpqCJvsOGXIln75bBp8/Dx7hhmWP8nrB082CEnWUxtGnFUXFak0jIMBEcfFvK9HenGT9LSVSf8B/T3oG732Njp5LdXUeRUUdTxnQEjqdyZdHNjg4jbo6Ny7XllajDHuD+k3SnmBLwYoO1WOUdgcbtv6N8vKP0OsdmEwpvm33jruZd10T+STvrz0eVO1IweGYQ0XFdsrLN/LehPM4/punOFV7l53yA1MM0Vyz8mOihzxE7t0m9Gffy5+PjmdN3j97LXBnKKGkkIKKSgABlFPOFrZQQw1GjKSTTiWV/MiPPRrxtC06rCxCwyD1rZ2nkzp4CX+2VnDqBbcS8+eqHqhe5/GGg+8LrNY0yss3dtqczGJJQVFUFg3+CxNMGzAoNZyRvQmdzkRR0Wd93gF5zYRKzw9l0qf/4OfsxcTGzmOUeT4rXr6TVecd1WLYZ+/g4+BOVFFU38vsbxzbT4Z2P1ucd/d4mgIrVo7iKOqow42bAgrYyU6k402HjwgiGM1ovuVbSinFYLAj4iEgwEJa/DUk6oYwzrSJajHwclU5ddSQ43wOoEPX25HE4/0du30mNlsGwbpYKiliS/Z1AHyceQ6vuY5rMXGwn/6L15wODp0TTqczUVfX0Mfmrp8B23/gsZuu5/HyfYQEJLLq2msgLQPWf8uzd1/Hg2X72bPnwS6ZbZ6srfWZuIeHT0NRVHS6hhRDtbUlxA06l6KSL8jPX90kkfWRhKKoPtPiw9X1pL/hjXgaHJzWramkLJYU3O4czOZkAgNjuzzZ0hauKekEffwDuW9HEn1ivu/73LcjwVlJ6HshnLrhYd7Lnt1jdegteiq9REd5MuNqFm59i/LyjURFzaaqKoctawyE/r2K5ypO5bxvb/TtW39cMgmbJxIQYGHPngd7va5hRJBEAgEEUE89m9hEBRW9Xo/GdEpZNJsTURSVkmke7su9mBWuAFw1ew+r9AZ9jV5vw3mZm9qsINhUTNajl/lWFnuyEWuN9uQQBHD+Cy5+fm27/eiMRgdAs9lyP/2TDDIwYOALvuhyWQYMpJOOJSACJSCQvPjR7N3/mw90VNRs9u9fxQjtVqo8eVRW7iYvb2WXzztQGDLkSgIDIvl52zWIeAgNzWRsxGICUKmijABUPsr+Q19X008n8KZoMZsTKS7+qk1fKrt9JgcOvN/itv377+DVE90cG/gplj98DIlWSm8/ipP3j+6y383clHf5ofZ9duy4g/j4CzCb4vkl9yUUpSGx9ZAhV/p8tvxtt5+BTFzcfPbte6LXzuf8eizs3gnJo4ke+xEAud9OAEsijku/J2/mLjAFcP4Dq3gn+7geqUNv+uH3Fo0nuFrDu1gRFJTM2lHpxN7+Pa7FybxbNZWF310DQO7Wc1j6+5P4qHYXO/bc7ffd/5VO2a+O0G6Vo7QHpfIMhxynrRKbLUPi4y/oE1vaw0mMRkez1AHOV8OkcMp4uTztaUlKWuTzyeotH0a93tZqFNPG0SL1epuIiLj+L/KQZdpsGX1+rw8n6WlfIj16mcY0SSChR8o/hmPk6KHPyvHa262mq+iOSLrt9WeMjJzVL37P4OB0CQ5O9/noWK1p4nDM6dO6+aXrEh09V5KTF7fqIxobO0/mpb4lY7V7ZdX4BS2mPPFS9qcwWTDiRXnpqEWSd7UqNSfHy3Dt5i7XMTJylq9996bB0elMMmTIlX5fPL/0mSiKKtHRcwe0f3Vr7MmaLnlXq1I3LcWfkqiTz0ZbnxuLyRQrc4Z9IDlZUyT3Wp04t/6xyW9ReYZDXFPSZbL2VJPI7keq6GgnOp2pyeefsxfz457rGfReIm5c5E3P45Tg6QQFJbdSwpGDyRTb4WNU1cK81Lc4d8g9YLDx15FPkftSKAVXBhJ1TyTra4Yz2JCDSY0kKmo2VmsaSYmXoaoWDAZ7D1zFb9TWlvgic8XEnNlkW2P/ldraEv468inKMss4I+Udak6Ob7XMsjJ/BN3uJCwsq0efgxRS2Mxm9rCn28uOJppCCtlW/jKb3a8RFTUbmy0Do9HRpN3pjuhwtbUlvtnUg9u0xuTnr+7yubqC16StujqPsrL11Ne7qa93U12dd0Strh6uHDiwmu3bb23mpqDTmThZW8tI87m4xcBp5jpO+vqBVsvJz1+OK9PNLVkXkbXwUQLcepbs/hebsq/pUv0aTE5/80/U6UzU1BTgcMxh587lTVYSw8OnYbNldOl8fvx0hPLyjQQGJnb6eK/5d3uJj78AqzUNVbV0+pzQ4Du3efIJ5L4USu6uS5tsy10/g021yYRkR7Gs9HzeqgzFbp/ZpfP1Nm31qb3BwRYObVk8eDwlrNw6g9jPPiH94RM5++STyH0zwre9ZKGZ+iF7ud/+KnHRZ2OxpGC1pqHX23qq+v2adpuhHhyOVqczYTDY0ettZEUv4wDbCSEGA+YeWzYfCHidnjtCfPwFbNz4f5w3voa/hT5GAHWcssvj82lJssymgJ3s2nM/twy/gicqAhirDuEHzy4m66NxqAXctv0u9HobJSXresxGPDx8GkFByezdu6LVfRpye4PJFM2uJfuxfxOH/eOwI9KfpTfQ6UzodKovpUl3hAY/GAWF6UznQz7s1nLt2BnOcKp1cGDQcKIDJxGtiyKn/hdKcbK/YDVlZev7hb9Db9M4uMjBJCQs6BM/Cj89y7mpb3Cb/Xaecc3hHxuu9fW3O7JmkvRpczPUysr1lG48n/CbD1CWfIDamDqUonoqP57OMfuSmzwjIsL+/XcQHX11u0xGFUUlLm4+LtcW9HobIh7fJEvjCUJFUYmOnsuBA6sPO5M2b9qFxvdLVS39Kq2BgkJXfMcHKgMxeNDlaU+zr9bBq1taVwBLS1dRuW8Fr/5xPAC35P3UYnA3P92LoqjMGPoar02ej2uUi+hF1eRu+j2UZnPe/DsI1dWRZf6eF1xD+Hz7eeh0KgaDnbo69xFjotopn0Uver0Nnc6EoqiMjF9Cgm4wHxX8h/sHp/GHb5d3Xy0HCI0bsPbmWkxIWIDDmMFbp15C4HUfUL7pcsacEsPVgyZzv6saPSZsxLAwZAObqpO5Lu42Dlzkov4/w4kK2YvHVIvOo6MozcmtbzzBzppYPi+4FkVRW43i1ZXr8/oYHqwQp2m3837UG+z2xDJ42quMenQm+fmr2TDpVAKVKrTP32u1XO9gxONxHdY5KnsKnc5ETMxczOZkwojn620XdWtHGkYYgxjET/zUbWVqaAQTTEl8JrGmKQRg4Bd+xIgFK5EI9ewsf5P6ejcVFdt7PIiPN9pjdXVenzf+h1NQniMJb6RSo9HhywnYVltmMsUSETGTjxJySPr0ffLzlzPt6Ao2Zy/x7VN6fijBK4paLSP34zioqIYhx0NNCez5GraUMPeRR/giez4AzofMRF/UEBzhtQmX8/tv7m7zOry+TA7HHMKDM4lCo5gcCt0/+iYKFUUlIMDkmxw9XCd0WlJKFEUlKCi5x9uk9nAap1FIIbvZTSmllFNOHXV9Xa1eZSCMGXQ6E99mnohNV9bixA9A7mvhvH/LxbxePpNN8ikbol/F/Mlmfz/Qw8TGzmN1fAlXF/yNM4Lf4ZhLHwCdQvS8UnJfCCX6zGLc00Zxd+l8Bqn7WVGWwUfZfyA5eTEVFdspLV2H253X75/BrtIlZdG75CziISFhAZphFlvcK4kzTeHn/Lt7LexsX2MyxaLTNShS3pD3dXVuQkMzKSlZR3292zdLGRc3n1hTFk9HPkPgE0mgBPD66TGU1Vu4ctBdHDhxP+EXZFNVtZ4dJz7OcP02AoJLeeSXC7nkuyUtnj93mQHTTiNvf30JD5SlUUoeu355GIPB3mQWuCsEB6fjdudQU1PALG01722f0+TlCApK5vSE/5DrMfL4+aeAu46EpSEdmm0+OILtQJw97EsMBnuPROWzYiWZZH7gh06X0bhD16PnaI7mW0s+6THXYMRCCTmEEEMgwaSZdvC5O4hfPN9QUrKO6uo8amoK8HhcPfo8eIM4BQbGdiqKsR8/7bUsycmaQqDOTdjHX1Ne/hGuDecTc/TOJuV4PCV4PC6s1jS2rshBN/Wf1H98E5TUwKihDTvu3gMpY1EHnY6nei/8uAIqPZzzz8f5IHsOAM4fZxM98i0AsoY9zefZ5x6yft62d7S2DAcpbCh7mLy8lcTGzqOqKofB4X9gXfYlmM2JGI2ObutnBhKdsSLqTuzYiSaaLWxhsH4kploPgxjEO7zTZ3Xy05yEhAWkGufw5KebiYxc1GRb7v1mcHsI/SqCkT+cS4Iuk29yl/iCvPV32rKAGUhM117BRDCba97EbhjOE/a3WVJ4Bbfbb8Ny0ZeYPwtgx8/HUCc6bi++kHTTFi4NfopKMXH2/iv4sfDeTi/ODJRxbpeURS/eB0anMxEUlIyqWggNzWTnzuVdr+FhhFdhVBSVnGdNkFfJ+8/+jZvKjOTmvkJ69DU8GvEEb1Qey1TT1ywonMa3Cf9l/5n7iT6vvMUyKyq+ouz5mTx87+08XvITeXkru31lRFUtWK1p1NaW4Hbn4HDMwel8pYlS4o2QGxExi/8LHslfbY9Sffw6ht06vM2GT6czodfbGJGwhKKaLRw4sJqKiu2coL13RJszd5aeaHj06Mkggy/58tA7t4OxjGUveyk3qlRX52G3zyQsLIuios98ORJttgwMBjv5+aupr3dTW1uCxZLS7avlB2OzZVBZudvXAR6lPUhu5WeUlKzrMTNfPwMfVbUQGNjQBh7K5D48fBofDgshcvoqHF8MYei+07DrNL7KPg9oeIfdp0Rz8uYH2Fq9CpdrC8XFX6HTqQxPup53o17np5phTIl5j6LrNKLTPwBoUDp338l9807mxcpd1NaWMMp4Bm9uneY7t6IoHboumy0DszmZ/PxV1Nd7SExcQFnZRgoLPxoQA5ye5uD21tuf9YZ1ggMHCSSQTz4qKkEEoVMMfC/f9Pi5+wMDYUVRUVR+2fJ/RGtPUFOTg8HQNJ5F7u16mDKC3L8N4dKCUzBiYW323DbL68x75/W1jIk5k/LyjT0yudOTv0dv/NahoZkUF3+FwWDn7yk3sXj0EsrPhICMa7Cf8RDvVR1NnQSQNfoFzNkxBBiqWVU6iw3VKXxRNbTZAsqhmJf6Fs9sPrkHr6h76RZlEZrmUvEqjVVVuw9b85TOoNOZOE17g5MtH/HHdbcAv5nzeGeQFUUl3nE2xxsjmBT4AyP1W3ig9P/4++nzib6uvlmZZWWrWXf8i3xeNY7btt/VY74URqPDl4eo8TmCgpKbnbP61DgMK/fyy9FTOT7/RH7OXnzI8oOD06ms3M4tI//FjTuebViFjT77iA1b3N9mm47maD7l0w4f1/g6oohCQ6OMMjawwacgQsOqssFgp77eTVBQMkEBDuwkkV35GgcOrOn1Z8BodDRJQm6zZfR50Bs//Zc5wz7AFlDGE5t+1679P848h6GvJBA96EZyd15C/LCn8XhcnJv6BnvrqokNCOTpTbPJXRXJquv/zI35e8nJeQa93sZ1w6/lvN8vInpJ0/6gsnI9pWuOZd7fH+aZJ64jeuJvZuNHDXuAN//7L2ZecUW7g994AzlogxcTTiLbyl8hN/eV9t2QIwij0UF1dZ6vrfMmd6+tLenRNjyAAOKJx4OHWmrx4KGQwiPKh7FxoJr+1F8CLBjxIqdb3+HOonmMD9zK34ffwOodZ/BEye+opJQy8phu1BOhFrEw+Cn+U3IR9ei4J+flVidFDQY7Op2J6uq8Fq/XYklp0Tzabp/J4LC5ZBkC+eeMPxNQo5LwbFKXY0l4TdaTkhYN6MUhkymWsfFLqaSE9dmLiIycxRUxx3Pe8VcReWsNuWui+fDqc9lYMxSTUsOlIU+iG7GFu764hferrMTqIthc/zNVUsK+fU/4rEK8qKqF+npPv5/cOBTdEla1cTh6o9EhRqNDZmgr/SG2Qez2mTJn2AfifDdKVNXSbHts7Dw5Tlslo7VlYrWmSVhYliiK2iQdgtWaJqna0mahlp3fjBfnizZ5dfxlPRpSX6+3NamP9/9DhlzZLBWByRQradrtvjq29xzeMgdySOz+JIqiiskUK2FhWV0uawYzREHp9PGjGS3ppIsefYvbbbYMsVhSJDJyljgccyQ8fJqcrK2VSdoTrT4PvZU6xi9+OZRERc3u0PNYen6oOD9N8rWRFRU/yOVpT8u1ox6QDzLny3HaKnH/Llbmpb4l07SXZLh2sxiNDtHpTJKQsEBkutasLygpeUuc/zWI85vxv/UPX48VszlR/jnqoYbPP8721eGN8X+RHVkzfZ+fybhKoOG9ct4X2NC3/C9Ccq/VyWztwz6/x/1ZFEUViyWlWV/oH//07D33Sl/XpSVJSlrke2dbq783LRI0jBM7eg7vsaGhmRIePk0slhQZq90rs7UPZYx2t5yV8j+JjJwlR2kPNrQP70SK832HOG/SyaMZSyRFu6HL1+kd0xoMdt//4+Lm9/n974gMGXKlOL+dKJGRs3zvsKKocoz2msxNeVecn6fKFWlPygxtpaRqS6Vwyngp/6NdXh1/mdww+h6Zqb0ps7UPxW6fKUdrz0lwcLqv7LHavRIbO++Qv+EAkO4pyPvCqqpFVNUik7QnZIa28ogd0Ol0JhERGTLkyha3Gwx2iY+/QIKD02W0tkwytPslNDRTTKbYNst9JuMqeSbjqiaDhKrTY2Rp+l1Nch52pxgMdgkOTvfluWv8cA8dukRGa8uaPQsGg13mpb4l07VXJDp6rkzRXhBVtYjBYG/zmZiX+pakaDdIdPTcPv8NDwexWFK6pZwYYmQc4zp1rAmTTGVqu/cPCkqW0doyGTp0ySH3NRjsotOZWpyE8Ytf+pt4J89awvl0sGyefILM0lb7Bo46nUkytcekcMp4ybtalf37/9visXV15eJ8w94sV9iOrJkySrtDUrQbxPmkteE8DwQ2/Lvnrw3/fpEmBw480rw+e/4qVb8f1GreU780laio2TJcu1lCQzMlJubMPq+PXwaOdMeELjQonFZrmkRGzpLg4HSZpD0hFw5/WRITF8rS9LtkYdqz3aqcHDyWi4k5U47TVvkWO/qrIt9YLJYUCQvLkkztMQGajT03TDpVNk8+QYqKXpZHM5bIVSMflTnDPpDSKeNksvaUjNLuEL3eJqpqEZMpVqKj54rBYG/3tR88djlae07i4y+Q8PBpbSqZfSDt3/lQF6+qFt9DEhSULFnaMzJCu1UslhQZod3a1xfaL0SnM0lYWJaEhWVJVNRsSUpa1OEXaoa2Ul46apE4b1MbOvWXQ2VP1vR2JRvvrDQuu3F9FUVtpqR6Z8xGa8vkrJT/yUtHLZITtPfEbp8p6dpyERF5Z8KFIiKyMO1ZGaXdISIi+X83+DvZbhSzObHbBnoKisyk4zOfXjk1pOVJk5ZkuHaznJHyjqRry9tMhmvAIKMZI8NJk0hTqoxktBzPLEklVRSUHps8aU0aK+ZJSYskPHxanz8Dh4scLgpL8Z+DBZAPMue3qPQdTF7ef6SmJlcqK3/yKXvtJT+/YZXyqpGPyixttTjXRh/ymLq6qoY+5UZFbhh9T5/fL6DZoLO7BqDdPaMfFJQsQ4cukWO01+S0Ye9Lmna7jNBu9Q2oD5dn2C/9S1TVIpnaY5KUtEiytGdktLZMFEX1Te73tMIWH3+BADJBW+H7Ljp6rkRHzxXnf/SSqi2VVG1pj45Pu1r/0doyMRodYjLFNlvQGKHdKs5vJ8qGSadK/Yxkn0XGNxPnSvWpcb5+/2DFubX33Wt5ZzLF+n6jgyUm5sx+NxbuNp9F4NdooC6f7X5dnRuLJYX1ox0c60xj374nqKtz++x2+5tf1kBhhraSofpq7rb/m38U/oMl0y/hX2sf5t6N/9dj52zskxocnE5Z2XqfvXpLBAUlkzDoPOIZy5Kwp3i38miyaxIxKjXces05MG4W0akvAnDBiNf474QLqd2RTPgnTZ3z2zqHn7axWtO6LapaNNGEEcbP/HzIfVvyY51h/RNfl7+Mi9Z9mL0O5lFRsxkaciZCPfvcn/j8GmtrSwgPn8bEoPmUFb2Pp3gjP9V/hx49gxhEPgXsZTdppBFIIN/ybdcuuod5dfxlh0xjcDjTnmiSAyGIRWcR6bautwm53x2N8vqXiKme0B+jqYgpQe8ytpmCozF5S1T+8dprrNr/H9+715uoqgWbLZPKyoY2pLa2ZMD0AUlJiwhRkxispJJq3ElpvYX1NcKeqjUoiorLtaXJPT2cn28/PY/FkkJNTQFRUbOJDpzEuu2X9enzpNOZGJl8Mz/vvA6Px0Vk5CyKi79Cr7f16wjjJ2treSt7Og7HHPbvX0VgYKwvyrNOZyLnSQOkjIDwcejvW4Ep34rlqXzezzyfx0t/z7eeT9m+/dYu1UFVLRyb9Bp11KBDZTffsCX7um66wq7TrcqiN4m8yeTw5cwzGOzsSjdwbN65HKhaR3n5xiMmpUZPMmfYB+iop0YC+N71cI8nbrVa06iq2g3gUxqdb9j5w9+X81n2PN9+OVlTiAwooODEbOyfxaB/cw+lpasICZndrMzKsx0c891NfJ19QZPvvSlZ/J1o/0FF5WiOZi1r29zPq/A1RkHBjJnZoX/n7eI7KadpZN/GKVMslhRfoCdv/rZ4x9nUUInbnUOsKYva6t2kFwezuuwuNJLRoWM3u7Fhw4yZOur4KTAPnalp6pi+mnjYMOlUjlr3uT+Sqp9mOLfMI3rY010qo+DKQAq+ms7gyJ+ojCkhwK2nMns44bpidntiCR3/KfZllW2W4XJ9RlBQJnm7r4CXH+TOZx7hrs2X9mqAusNl8jg0NBMt4gIGKQmkGncSq8/DrLgprg/GWRvJil8ep6amgMrK3dTXu32Tr346zuHyzByumM2JGAz2JhHG+yMHP0feiUxv0D2rNY07hszkzI9/j+eyY6hIr8L0f09z9/R8VlUpXG/7kbk/rupUKp10bTkGzKzbfhkjk2/mnRdXMe+MhXy+55J+FdyxW5VF+G2gr9OpWCwpjIi8jOMDSxlt3MIuTyxvu0byXnZzxcFPx7HbZ+J25/RKcmCdzsS5Kc+zIu5vTNt1A1/tXMDej+P4/oqpzP7mQQAuGfE8/02+it9tfpwVbz5B0EWbUQflYH6u4YEPCRnDZMft3Gq/j9FfvNHjdT7S6e6ONJ54kklmBzvYy14OFXUvjDDSSMOOHQ8eKqmkjDI2WytbXfH0zpTq9TZqagqoq3Oj06mkJF1HHTVM1Q9lZ20Qnupd7N/3GFvqfwbqiCGGAgqooqrFpNk6nYmAAJMvklxfEB9/gS+puZ/WI/cdaZyV8j+e+mk8qmpv8n3uxjmw/TOwh6Ab+mfCwubhOWcM6tM/oPxuIq/nz6GkPhiz4ma3ZxBGpYZU/Q6cdZHsq43mxKCPGG9pmJjVvdd2lOzcL4bDZ9tQyoSRD02noGBNvxuIBwUl+1YnFEXt15OJwcHpGAx2ksL+QEpAFCdYPmGIugejUsvW2sE8XXoqP9W8itP5Qr8eRPvx0xqNo/8ebC2Yod3PvtK32b9/FdBgDfdlzqJuX13szpV572RyhnY/blyEEc+Xuxb4JphTtBtw1+TzO8tR3DTiH5QmH0CCFU56dBmffn8UQUGZ3Jh+L6uqjOwrf49jbeewuS6Xb7MXtHpOo9FBUFAy/4j/Hee8uR++fgTlx1LueuMhXijbwO7d93bLtXUH7VYWD06+2dosvU5nQqdTf00JYSEoKJkx4X9ltuVn/mR5hZuKL+H2n87vrvr76UVMplgGxy/gxyGPUuUoZfn3/+aGn69GUVS0wYupo4bNW6/lhfFX8nLZLG4Iv4ux675CUVTM5kSKi7/qdwOQgUJ/MVeaznTUX/82sYk97Gm2TzjhjGIUIYRQTjlb2EIAAQxlKOtYRymlrZbf+DoNBjsiHkQ8WCwpKIpKXMRcdKjsK1zpm5Wvrs5DVS3k5a3EbE5uNktvNDpQFBWdriHMen82hzlSsNkyKClZ5zczB1+qhcKzQHT1iE5Q6hVco1wQbIBjzic6cXmz4w4ceBDPjgcJWrGXiikeIl4KR/HoCKhRqbW4qSsLoU4CAAj6+Icmx+berodgPWg2qPQQvsLEzM23UYqTzbuW9qvfpKVn5OD2MCbmTPR6GwUFa3osfVRnsFrT+HvSxTjUA1h1FUwzfcU+TzTPlp9Krai8XvQqRUWfERBgor7e06mVCT9+/HQPZnNikwmp1saq8fEXcKzlBHI9IdwZcScjv25IKxYRMQun82VOHraWd3ed5mu3JmtP8Xn2uSxNv4tLg58i5JPv0OlMhIVlUVfnYt+JOyk7pQZyKmCsndMuvsmXd7e/oLa5UbWg05moqSkgPHwaLtcW34pAa51Jfb2b+l/TP5lMsVRUbKcmvJLs6kTqj9rOxrUJ3XoBRwLJyYsx6cLYmH1Vn9bD7c5hy7briSubTW7u61wLLLjqb4RujGDwTxuxmlMwmaKZlHAva7OP5bVGx3pXc/yKYsdpj6LYW0r4D/zASZxEHnlkkEEaaXzCJ01MS5NIIoccnDjZylbf97nk8vvQa3mp+HrqaZ4zFJqaHnsnp3S6hjyklZW7cbm24PG4MJsTMRod5OWt9A0mAwIsLZpz9fRKYuMO5lCYTLGkxV/D21FPUVIfzNKiv7C+bhvFVRvZt++JHq1nf8LritCflJK+or7eTU2NG+uTTb9veKdd1B27inpWcSBjD1E31/q2R0QsgIgFVIz8Ct1NR1Ov1lHvshKgqybAradGAjCEFFFXFkLua+EQmwg5u4l4LJgDxSdxa9FFfOp6nqMtZ/H8lpMIC7u/T3wUD+bgiemWnpGD28OedsPoLOXlG0nS7+PZspl8lvtX/p18Dq9XxAFgJIgl0aN5yjqLTbnLqazsHv9yP356i/aMTbx5SDtyTEs4vxxNzMQNHT6uIzTux9saTxUXf8W79W5Gms+lvD7IZ67vcm1BUZQm+47QbsVDDTqdia8qRzLOOJbx2sX8/MvtPveb+d+9y8O231NnUKl178dD3y8MHMwhVxYTExc2GZDV1BS064fW621YrWnU1BSQEnMZY9QI7o64gY/cmZzw9SPdVf8jgvDwaQwO/wPrsi/p66o0oSHxcDn19S5c06cxO+9v7Kv5gsrK7bhcW6is3O1LmutXErtOWwphb6082u0zKS34mMlMZg97CCOMVFKpoIJd7GIf+xjLWAA+4INmSmEUUaTb/8i7Bbf3eF17gwztfuqpR4euzffTZIolM34Zt4S/yoiU97HutpN7bi7hK21cteNm/hv1b1aUnM258Y9hKDMxYt98Nmcv6cUrGXgcaVYKLV3vidoa6vFQRh4lOCmr3ERp6XpKx7vZ6h7Kg6Vnsyz6et4pPZbLCkxo6iw+/WUh0dFzKShY448f0Atkao/xkP0NEkZ8jGVvGDfnXcFLVVU8af+KT91HceeBreTmvtLMP9TbpnuttbxxIPqDhYkfP4eiI5Oohztzhn3A12UPkJv7iu+7xu81wJMZV1Mter6tGkmuJ5xV2cf0ah0P1Z+2qSzqdCbfwSKeNk2GGp9Ir7cBDT4p0RGnUFa5iVNCTiLdtJnrc7P77Sxgf+Xgmdb+Rnz8BXz13CdET25YRcr96WSuOuNi3si5Gr3e1i9mqw8H2nqZDQY7Ho+rWwcSiqIybujdfL/9r75yk5IWsXPnchQUxjAGI0Y2spEQQtDQCCeceupZzWoqqGix3GEMY3jwyXxX9hL72HdI38eBjLcNFfFgtaYRG30mCjpmG6NYtPBSUv6uYbNlUFT0GRUV2xHxHHFKkJ+exfs82WwZ1NaWYLGkUFm522cl1DjStZ8G0rXl7DnwQrNgXR3BOxhUVRu3Dv9LQyTwglzGmX5PhdRygJ18n72w2XGKomI0OgBIjL+ISvfeZlFU/fjxc2hO1NbwdvbMTh3bk/2wTmfC4ZiD0/mCb4zw3zE38ofntxC4/HVO/eBhPsk+s0fO3VkOubJotabhcm3x3bTWVoq8gW280YOgYTa9rs7F0YPuxaFW4ao3s6n+O7Zsv8E/O3YY4o0CV04+8uuKkn91pHtprQFrTxqC9nLh8Jd5ZNPpADgcc8jLW9nqvhYsjGY0tdTyMz+3qiAejA4dQxhCHHFUUkmJrpID9b9QQgl11HXHZfRrLhz+MnrFwwObzjlsFcPGivKRRlTU7CYKWV+iKCoJCQuwGZJR0FHq2UlJyTqKi786In+bltC06/F4SjjRfBSphp3MNn9IuK6YOXk3sCb7lE6VabGkEBU1m6KizzCZYvlu2RqW33wnn1fr2VzwcJvKn05nYtCgM7EGarg9+eTkPNOvJ4z9+PHTORITF1JTU8CPp79JTYZK6YOTmXtgKj9nL+7rqjWh2/MsNg4kYbGkUFq6npCQdCbY/sFRgRvZWRvLbk8tX+y+xN/4HcZER89tsuTup3swmWIR8fh8AFTVAkBgYCI1NQVUV+dhMDREVVQUtVP+ejqdiaCg5FYHuqpqoa7O3WSgGUwwwxmOHj3ZZFNIIR7aHoimkMIudgENkVPTSWcHO8gmu8N1PtLIvVbHX156l03yJcWl31BZuZuKiu3+Sbh+RHj4NAoLP+rrajTBv4r4G8nJi4nXjecUy1b21MSwtqaY9dmLgIbIq8MGLaK0bjc7dtzR6XNYLCnYbBmUlW0kxnEaN9kK+Mvevezfv+qQirrf5NSPnyMD5006rJd9jMWSRX7+ck47OpzPs8/t1TpERs4iP391q9u7pCy2FvrcZIrl54wU/pg/n+1lr1BWtt43uFRVy4C3Y+7OZOd+/LQXnc6EXm8jMnIWLtcWdDrTr1GHG5Q7j8dFScm6LufsOtjX4OBBS1hYVquz4kaMDGEINmyov8bP2s52csn1mZsGE8xIRlJCCZFE+pTKCir4nu+7VHc/fvwc2RxsfaHX25g1+HV28S1Z+gR214agx0gddWyTj9i7dwWqamH8oFv5If/WQ/pxdkThtlrTODX2Fp7bejoiHqYNfYG12XN92w4eR8xNeZevK55v0YfRjx8/Ax9v+zR06BK++WYcNtucZvtYramIePpVZOc2o6EeioMVRa+JqqpayPVEYiPG54OjqhZEPLjdeRiNDqKiZvd5zrHOKn1+RdFPX2CzZWA0OjAY7Oh0JgIDY4k2Z1FFGWeajSSqv3C7aR4/lW/stHmZTmeirq7pbPbBs9ttmU9VU80mNvk+69Ez5Nc/5dc/Fy42spFSSvmZnztVTz9+/PhpiYPbPo/HRS3VpOhGs7O2Fh2watuxGAx26upcKIqKoth8SpwXvd5GQICF6uq8JmUeSokLC8uisnI3oaGZOKxTCFTcxMTMxe3O46NtZ/qUzZbGEd/XvHNERUX2c3hzJK+OH+yy51USvZ8NiqWZopj75UhGnGShvt7d7xbVOrSy2JbDp8WSgtmcSFHRZwQGJlKUVUHqtjPYuXM5er2NwMBY6urcuN051NaWDMj8WpO0J/gie35fV8PPEYpOZyIycha24LFUVTsZZpzN24Mv42+//JtTLB+QMeINKhJLeOn1m/nr+n93upFuj//jtaMe4LmKHSiKyo4dd7RbOT04jLYfP3789CSZ2mMkB0TgrKtFxcCPZSvIy1tJfPwF5Oa+0qVxSGzsPFyuLZSVbURVLdjtMwmzjCUKjRAliBlBX3FxxONk7LqMLXvv8OdR9OPnCMA7oV98klDlKCXmURtud45PhzKZYqmaaIYPtzY57vTU93hly/F9VOu20XVkZ68vFPwW8dSLNwfa4MGLCAgwMXrHhRxnHM2fUp5FVS3U1BRQV+fyNcy1tSW+oDgDgQztfr7cdkFfV8PPEY7H42IwmaQa53Cx7T0qY0r4xx/PI/WEJ6m59XYYFY6r3uzzZewM7RnQrDjwAZ/Ov5Pt229tl6J4RdqTTNBW+BXFAU7e1V0yRukyjfsM78ytHz9t8VX2ebxf9BDf59/Mmu1zfQG79u5d0WlFMTg43eeGU1Kyjvp6N0ajA73eRjCRhChBRKpFzDZ/SFlyPiebjAQFJWM0OggLy+q+i/Pjx0+/w2h0oNOpJHw6EndMJVVV+xAR6utrERGqqvaRe/84ct+MAKCo6Bly7w1kmGG3LxJyf6PN3raxbb7R6GB4wjXsyn+Kujo3AQEmn21/fPwFTDb/Dr3i4f2SpwkJycBDDc8776Kuzk1VVQ719W4MBnsTf6eBtDwdjMPnc+n3JfDTFzSYJmzHZq9lhGk7M0c+jSupFOZeSnTicgByh33MZ5XDODpxBR9kz+mxuuTlrcS+JhUamZy2RUiAC4XAHqvP4UZ4+DSgwYSlqOizfpNOw3FL39YhMDC2X/lxHA4cCaZi+/ev6rayvO9iRcV2AgJ+m7ywWtMA8FCDZtzN6ZZ3WF8znGPKNvLPITeRYTqVR0qu4/MD13RbXTpLaGgmwyIu4qvs8/q6Kn78HHbU1BSgKColJes4/ckn0D/5Ms9H3YU6/jtqp1lRPylFMdQR5Awh90cd0UvqOeWeWL5zPdRvA3+2ubLoVYq8URV/yL6M2toSamtLMBodWCwpADidL/Bi9u95cefFGAx29u9fxV2hv/DzNd9xx9BTuGLEA5jNDdEaG9vhnpHyTrsq6fV57EtOCNoBNNwT/8ygn76isnI3b+z9Cysr9QRuj8aQb4JPHgOguPgVOPAFu/mGj3fO6/Zzm82JPusCEQ+GjzcRHJzermOX/vyPfjEw6e/WDKGhmeh0JkpL11FY+FGTQEZ2+0zM5sQePb/3XN2Bd/DcXtpzbY0Vxf6gPB8OtHQfD/UMHGxZdCQh4qH8V7/wxhPH1dV51NW50GPiE7eeL9zjmDzxccqnVFI0s5BKMbG+8jFMpliGDLmS+PgLOvyOdJUTtPf4OPMcVgwdT4oa2uIqRqb2WK/Wyc/AwWSKBRryLXc3CQkLur3MvqK6Og+3O4eamgI+zz6Xk4L2sOjAEua89TAbl56M8euRfPP+Am777hZ2/u8s/p1+P29lT8fpfKHf9mtt+iyaTLGoqoXa2hLq693o9TYURSUkJANoMFdzu3OorNxNUtIidu26l7CwLKqr88j9fQGuncPIck4kKMDBxu1LCA5Oo77e44vWmKot5RKLwqXf/7M3rrXDxMbOY9260fxpymhWbzvRnzDbT78gPHwa0yOu5sW4S9h/UziEpUPpVnj7Ezj/BjaftoO/FaVTQyWbsrtvFnugp0MJDk7vcqTYnsRsTsTtzkOnU7Fa07qUELwrdGfOzrYIDc3ss2v00xRvTszAwFjq6z3odCpVVTkEBJiaTBrbbBm+eAP+364Bg8FObOw8QtQk9hS8hIiH2toSRsRcSQRJvJFwIatKZ7HXE0NpvYW3K0PYW7kGj8fVZg5bP34GOmZzIoqi+q1BDkJVLRiNDp85e17eyj4PnHko3aZNZTE2dh6BgYlUVGxHr7dhM2q46pzU1BRgNDqoqSlAxENe3koSExcyWT+OEJ2LGyZcxpqfzuGukknkykYGK5kk6St47cDjvjweSUmL+I+9nt9Z32ZFydlc9N0N3X7xXcX5cihP37SEf6z/W19XxY+fJgwZciU/THkM12XpsGotjAqH8DD4djenP7CCzQUPE2+f68sb5qd/oSgq4eHTEPH48mNCg6LWWKH1zuT2VmAMo9Hhq1NP4+2cgoPTCQyM7VZTQT/tp7HVTkCABb3e5jOjAqirc2GzZWKxpDDYMI0qykjXB/H49suPWB9k77PrcMzBak2jtraE3bvvbXHfa0c9wFVjrmXntsm85DqR792DeSf7uF6usR8/PYtM11DWNs2RHBSUjF5vo6RkXZPsA701Iemn/bSWCtFLm8qioqgkJCwg0OBAj4l66qmqy6empoDbHeFMnb2Mu199mHXuKH4qfZiamgKSI+bz9klXoHcZqdmSwkn75xNGPD+5niIvbyX19W6qpo4k8OOfALDbZ1JQsKbbL7wrKIqK0eigqmofOp0egPFDH+TrbH+AGz/9g7Havaw5djHuaXoIM8FeF1hUyC5lwoPnUltb4p+1HiAoiopeb8PjcfmCgbW0T09YNHhXlHrbauJg32+rNe3XAGkLqatzs2fPg71Sj8MNVbWg05naVPbHavfyffbCJsd4n0FVtVFX50KnM6GqFgICLKiqham2i0nQOymss7HOs4fNu2/ut741/ZEM7X5K6veyffutfV0VP366laCg5GYrh6Ghmej1Nuy2KRSXf09NTQGFhR8RFJSM1ZpGScm6LiuLXkuhqKjZ/onGXuCQqTPCwrIwmxMpK9tIrOMPKOh4/9k3CIg/G1W1Y17wN9K+P5uSknVUVGzHYLBzeuy1rNx/D0fbr6VECikljypK2JJ9HXFx8/t9HiHn12OJHv8dud9P4/SzzuezreegKEpfV8uPH6AhoJTZFM+H5/yLwJxg3JHlyIkjwbUfdpYRusbG0RuWsC77kr6uKtA/J4T6C42Vpt4MNNKfzOkVpcHsNiDARGhoJmVlGykoWONb8epqQLHk5MWHHKS3Jy1Sf7pnjQkOTsdgsGMyOfB4XJSVrae+3uMbjB2q3l5lMSgo2Wc15PE0RC4PCDBRVZVDcHCaz0TaG7fAjx8/fYfBYO83EzaRkbPIz19NZOQsxtoWsTp7Vl9XyU83c0hl0Tvj6M2j+GyswnZPAic88AHRGV8AkJs9nz+dfAZba97mi5e/g+2b0f3oIsCt54z/PcvLjlu54sA/ya4rRI+Jz7ef16+jr10/+j7+tf4Sfpw8h1Gfr/Qrin76HTqdiZOS3+GR3x+L6AQ5JhICAmC/C/v9MdQRwB9y7+at7Ol9XVU/beBd2fPSW8pIf1J8dDrTr3mpVEymWF/djEZHl31kZ2pvomI4LAcvXmXaqyx6zUYb37P2TEDodCZCQtIpL9/YZFXSbE70BaRr7XnpT8+RnwaGazfzh8AQTg76gHFfvNbiPv3df9vPoWn8fvrx09Mc0gzV2xF4E846gqdhxMLrTywneuJPvn0LClbw7PEF/OFfdxJ9ygFyNxyP8uoaZry4lIKST3hycBy/2/AOIh4CAkz98iFXFJVfHjQw5T+XkaybxmvrBxEUNMbfGfrpd1gsKVybfCHnXH0jTF6Iahj0a8TMC8j9ZhzBf68n/Ou8I9anaKBxJA+6FUX1KToGg91nimsw2H0+FDqdCZ1O7dAq42htGaMDhmDRVRKjz2fJ+st7pP59hfeeBQSYfGajqmrzKwF+2uSslP/hUAvYUxvDa1uP7evq+OkA3qBgoaGZ7B9VhuHj5qmrZmmrD8vJMT99j7QlNluGGI0OCQ+fJoBM1p4S54+zpSWc7zvkmYyrxPlsiMTGzhNAQkMzJS5uvpyorZFUbamEhmaK1ZomcXHzJTl5saiqRfR6W5t16A0xGOxSU5MrIiIu15cyQ1spmna9KIra53VrLIqiisWS0q595w9/vc/r65eek+O0VVJ5hqPh3VuXJbm5tzT8f9flcrK2VvL/buiR8yqK2kQaf9/X92SgycH3cqDfw45cg6KootOZRFUtYjQ6xGCwS1hYliQkLBCdziQGg13M5kQB2t3m2e0zm3z+56iH5NXxl/Xr+9DZYwf6s+KXron33eioHKetkoLLzTJDW9nn1+CX9onDMafP6+CXI1vaZYaqqhZCQjKICZvF0/ZPGfX5yib7BAbGodfbWg39epT2IBMMVjbUKHyXcw0hIRkUFX3G4IRLKCj6pM/9mYxGB253LgD5+cuJjFxEbu5SBg369xE72++nf6MoKpeNeJx/3Hs10VP3NdsuM4cS/LXaZnQrP63T1ZU+o9HR7lXdw2lVsSPX4g3G4l1Z1OttJESfy4HST1CUhlXEysrtuN0N97E1c0rnB9HEzMht9v1LRy3iD98u7/S1dIXu/E29uUF1OpX6+oYyvWUfLs+Nn44zWXsKAA81BBGGgo4Psuf0baVaoLDwacLC5vndefz0Gr3p/3+koGtrY1LSIkJC0jkp6VVcri24PDmk6rdRWbnet099vZvq6rwmiqJOZ8Jmy0CnM2EyxVJKHutrBBcFmM3JuFxbiIiYyRxTNHuO/Qnn8zacb9ip+v0gFox4EYslpccuuDE6nYml6Xf5FEWAyMhFfDjxTwNOUdTpTKRqS32h9hsn107VlvZl1fz0AIGBsYwwbkO5NqHJ97m7LuXKUU9g/tztVxS7QGfffYPBznjtYUYmXNfj5+ovNJiINig0HbkWr0lp42isBWVfoNOZSAk+G7M50bdPWx1/zIxc4uLmN/u+K4riualvcODAI82+917noejob9pgQmppksbCYLBjNDrQ623U17vxeFzU17upr3f77pmfI5fPs8/l8+xz+Tr7Aj7MPq1fKooA4eH+AIFHGjO0lb1+TpMplqFDl/DSUYuoPNVO8cUhzfZp3H57Jym94+QjEb3eRmLiQvR6G2FhWW3u2+bK4ixtNSE6IUHv5H/VB7Bg51rbOsZe+hy33XYfb1V+x759T1BbW9IkBHt09Fxfp1dY+BHjYm/Ggp08tlBBEYWFHxEZPhMLdr7ZejHV1dspeieTF264ijv2/4Beb8Pl2oKIh6Kiz7r15kBDx6wlXcOaj+qIjl7SZNuQIVewc+fybj9nW7Q2C93S7IjZnEhNTUGLvjsHh6P3kqotZcfu5f0mcpafruMNcPPQGw8TnfKc7/vcx6wQrOfif77mD24zwDicVhg7gtfXDhomQYKCkoGGZ9zrn2MyxbJ9+61ERs7i/MgT+MUTyRObfoczZwnRg27stcFoqraUyuqcTqX2SEhY0O7jOrKvHz9+/DQmKWlRr49j+xNJSYuoq3Pz5asbYdfPDDtvUJMFLYPB7hsrBwSY0Ott1NaW4PG42t0HG40OgAEfF8JqTSM8fBo2Q/Ih83K3aqNqsaTI/OGvN/VLdN4o/xnzH0lKWiQWS4qoqqXJMV4/k3cmXCgnamvEbE6U0NBMuX70fZKm3S5xcfPFZsuQk7W1MktbLbnX6sT5UWzDv59p4nzfIc4v0hr+f5NOTtTWdJvNrU5nkjTtdrl+9H1Sfk5Ek+sq+otFdDpTn9sFt1duS7+zze2jtWUyQVvh+9zYl6c1Xxe/D8zAkaO0B8U1Jb2Z33Bu7i1SdXpMp/1ZBrp05boNBnuv1PFIfc8MBruoqkVMpthW74GqWiQ0NFPCw6eJ3T5TkpIWSXLyYtG06wX4rR9alyUiImV/ChNATtbWdksdrda0Prk36dryPv99/NJ9cuHwl+XJjKvly4lnyPKxt8gJ2nt9XqfeFKPR0ed1OBLr3ttyyYjnJUW7QR7NWOKLUxIXN1/i4uYLINmTj5OyP4XJ9aPvE2h4L1K1pZKqLe21Oup0JnH+W2kyvtfrbWIw2H0xWazWNDGZYkWvtx2x/XM7rrvtgxMTF8qerOlSUPC4PDDu33LtqAdkkvaEDBlyZasvlaZdL0FByQINL15S0iKZpa2WFO0GiYqaLUlJiyQ8fJqkabdLzcnx4tx+kdTVlUtBwePicn0pzm3nSVXVZnF+EC3ODSeI890oSUhYIAkJC3wPZEfF4ZgjYWFZkvvPgN8GHI9aZJa2upnCOxDlu0mnSdFf2r4O74CrJTnUPVAUtVnwCL/0jSiKKpp2vVRNHdlMWTxZWys6nemIVBbj4y9o9p2/4+8/YjQ6fAFtDAZ7pztlEZG8q1W5Jf2/Ul7+qZSUvCULRrwo5edE9Pk1+mXgiPf50+lMzeTgZ3Po0CUCDZN0gGRo90um9lirg94Z2ko5TlslJ2trjzhF0S9HlpygvScp2g1y1chHJVVbKnNT3pUr0p6UqqrNIiLynzH/EUCeybjKd0zZn8KkcMp4cW6ZJ87/6CX3Wl2P1rGtIJrjtYfF+XKoOLdfJAaDvV8E3OyP0qYZ6ijtDtZEvUKEWsQBTxhz9i+gkhI27V7KtMQn+HDnmS2aPRqNDlISrmJkwFAiAopINuyluD6Y7TXx5HusRKrlHGXayGpXFg/ddBoYAqCspuHg4WMg6mhQAmDTQ/B9AQTroR4G/zUERVF9yYbbg8kUy6T4u1k15hJKrp8O2e9zyt9v4JfyDykq+oy6OleXkz73VxqbtXW3iVtjE9n+Yj6Xri1nffaiflOfnkJRVM4c9gZ33jiP6LlFTbbl3mFg4Yq3j4iQ6M5vxhMz/huO0h5kS+69rQbYOpgU7QbqqSc7+/qeraAfH6GhmVRX51FZuZuwsKxOuReINHRVeXm3It8vI+akA7w34TzSTnycmH+12o0dFkzSnuCL7Pl9XY3DDq8PU0eDYcTHX4DZFE8Y8SQHhFJcF0wp+3FRwPfZC3uiqn66gaO154jShfP23oupr/cQGprJUOtcfqlbx44dd/TYeQ0GO0AzVyCLJaVXYgscrT3Hp9lnd1t5mnY9P6U+yt17L+PLynS+qXgSgPFBfyQ8oIRHNp3eZP8r0p7k+gmLUOoVuOtVrNZpAORuOZtjTk0lUx3JE5t+165zh4VlcXfSJOatu73bricxcSHl5RspLPyo28ocaLRn3NyqJhkXN19eHX+ZOO8LlKSkRb7VJ29Y85bMNkNDMyUm5ky5Jf2/4vwXcrT2nBytPSeqapGwsCxZNuY2+TjzHCm+OEQKLw2SxMSF8s6EC6X44hBxPhIkzjv1UnV6jDjvCxTnfYGy/x96SdeWt7kqZjLFCjSYEHlDrKuqxSfV1btEROTJjKtFpmsSHj5NkpMX95rZWX+R5OTFYjYnSnBw+iH3bcskV6czyfHa23Lh8JcFkC8nniGKosqXE8/oNlNeo9HRoRkeVbUcMeYDmdpj4jk+qdmqYvk5ERIXN39AmVN3RaKj5zb53FcmhH7peUnXlovzDbtcP/q+Js98pvaYAJKUtKjP6+iXvpPebPut1jSJiprtM7UDJCFhQZ/fg4Ei0jDr060SGpp5yH28pt6jtDsaLNpuCZBXx18my8feIgtGvNjr96E947D+Kpp2vVye9rTM1N4UTbteZmmr5WRtrTyTcVWL1n+xsfNkR9ZM2ZE1U7InHycvHbVI8o/OPKQ1nF/6lbS+8fzhr8qOrJm+QZhX+YqKmi0WS4oEBSU3G5jq9TZJ1ZZK4ZTxUlDw+G8mn/uulu8mnSZGo0OytGdkhHarpGpLZfGoRxp8FJ8NEeeuy8X542xxbvqDLBjxolwy4vkmCp23Q1AUVZKTF0um9picqK2Rk7W1crK2Vp7MuFpcU9LF+YbdtwTupapqs1RVbZYhQ67sd2anOVlTxPmkVd6bcJ7vO+fPp0lJyVvdak7oOT6pQXk+NU7eGP8Xqa7e5/P50elMEhqaKQaDXVK1pb777jVpTNeWy2nD3pfyP9rl48xzfL/7wfeyL8wfjxQl0Sup2lL5OPOcpr7EOxdK9alx8ur4y+SslP/1eR17Qg6VayqYYBnPeJnCFJkdfKnEENPndfZL1yRNu10maU/I3JR35URtjfxz1EMyL/UtiYqaLWZzooiITNFe6PN69pYc6fnWusNETKczickU6zdR70Hpr24QzruMTT57fekAqa09INAwHjv4OO84xz8h2X6JjZ3XTHGMjp4rGyad2myi91AyXLtZxmh3S5b2TLNt7XnWdDqTGI0OUVWLz9S8O65RUVSJjZ3XofIam7/39W/kFYsl5ZATJm2aoRoMdl+UU0VRqa93+5bRvfkXRTw+M87Q0Ez0ehuDbXP53wmXUXOilbAH9Rhf+y0PXN4SldfeuZ7l5dUcOLCad1KH4KyLwqYrY1LcexiLzFR7Armm8EoAXix6B7c7h8rK3QQEmEgfdB1CPdNN1Zwa9D51BJA86Q0Ujw5DmQnXrHqi/1BM7o6LGTbmi3abpvUVdccOIebHVPbvXwU0mLfs3buiT+uUod3Pmy++QnT6B02iDDrv1KPmKUT+p6bXzCcOhckU226z5Paap0ZFzcZgsJOb+4rv2e4vpq2hoZmsHDaUKV8+1WzbxGGPc6q5lGs3XnvYmlYfjA4dDhwkkUQddfzIj7hxk0gigxnMGvo2h6ufzpGi3cCZgeHck/MyR9uvZeXWGWRo9/Ou4wl0I7ZQdf4o9Al/JCLiQuYM+4APc/+G252DoqgkJSxkc/aSFstNTl7M9u239vLVdJ3+0t72JQe39WZzYpPtHo/LH/HbT48hIoSEjKGsbH2HjzWbE6mrcw/4yJktcbK2lmoqeC97NgtGvMgbRS8322fb0O2MzZvD1q3/AuDAVUaUeh3Prv0Xi76/ut3nmpf6Fss+zsF2/i0Y3trb6n7h4dOorS3B7c7xpR3yotfbfP8X8VBf72m3GXqqtpRUZQL5sp/dlav55ZcXupRmqz3tVW+1/YfKTdmmsngoVNVCQIAFvd5GbMzZ6FB52r6OsZ+/CkDud0ejXuEhty6Kk3MiKCtbT3rkVVwc8jVTT1mG6S8vIf+aT72hjlpbNTlv/57NtUP5R85mRDy4XFt8IW5Toy9jaehXWHUV7PNEM23a/Xj+fBFhMZdTV+eirGw11iv/i6HMhP7NPeR+GNMkUXN3DPZV1UJd3W83s3F57fV9cL4cyrjLZrBjymeYX+y/DcdZKf/juc0nUl7+EVbrNIKCBrNnzz+JiLgQaFBaAIqLv+rVeoWHT8PtzqGiYnuHj23vM+Ddr78oiF5U1cKkpBUkqUYe/3mO7/vcTxJB6gi9r57ZG+5nm3tVn0849BQqKkMYQjTRRBGFGTPFFLOOdQAMYQj11JNLLjvYgXS+efPTByiKSlBQMh6Pi7JjdUR/kURs+Cm8899b0I27is9P2cfp6x5mbPIy1n43Eosli8DAOO5Lm8/56xryyYoIf0l7gft/PqvFc0zWnuLz7HO7rc6adj3Z2df7Fboewmh0tDrINhjsGAx2wsKy8HhclJdvpK7ORWXl7t6tZC/QeCI5NnYeOTnPtLjftaMeAODGH//cI/XI1B5je9FzFBQcmRNxRqOD8QnL+Hr3Zd0+OREdPZfVg2sZ/cUbvu/s9pn9+l5fkfYkB+rCCFTcFNbZSDXu5LED7wOQm/sKmnY9H912D9FzfrtXuetnAGC7dRPv7/o95fVBPFU2hfeyZzcr35vWAhruhc2WwcLgED6rHMtXrqcpLV3f44tCRqODG1L/jlFXwxrXBEpw8kLkw4zbFuxb6GmMN3+j3T6N8xy/59YfL+zQ+eLi5pOT80y/Gn92SVm0WtMwGh1cNuhULnhuLdHDG5TEryadyZLCs9jmXoXLtYWysvWoqg2PpwSzORm93kZ8+Gko6HCWrSEheDZWIrEoQQTrGmYAttTt55awLwAoqQ9m4sWPgbMC0u0QZicobRkVB16HL18Am5HQp/S8t+d3VIqJW0sHsSH7rwQHp6OqFlyuLU1WRDv6A7SmPHgfCK+C2Fgzdzjm+HK2uFxbSE9YyjW2H7hozx7+Gj2df6z/W2dv+xFPR1YT24uiqAQEeBX+9s809SYmUyxHxd/OJ1t/GwTnrp9B4IPfUXW2DcoqOeZvl7Il+7pWc24ONAIJZJTtdNwlGzBjZghDqKGGfPLJJZcyyvDgwY6deurZxjbqqe/ravvpJpKSFlFWtpFZEZfz2p5LmygBwcHpuN057N5wLAvnnEee/OILAtNfA8KYzYntVmQOnoBs70y0n/7DTO1N1mSf0ifnjo6eS27uK4fcT0R6LU/p4Uh3vpc1J8c3WTG7dtQDPab0dzfLx97CencKT2z6Hf8c9RD5njAClHrfSuO3Q/KJ+OBJ6uvdmEwpv+Zld5M79SQqxcTNxX/GIyrOulo81LCpaAUBAaZmylhYWBYWSwqVlbuprNyOzZaJ0/lCt19PfPwFvDionLNyIzjVMoHbhl7N17nT+b8coaRkHcNj/sresrcJCkpm374nfLqBV7Htz3gtRr20axGFLiiLmnY9n0WtJuKTL33f1dTkkDfjXP6Sfy0/up9jiGkWARiw6Yzc/ezNBN3/I//36at8fuAaiou/QlFUwsKyyB+7j4Kxe4n8ZjDbahKJCijEHFTE1tIRhD0eDlJH9LCn8cwejDusAqVeIchpw2Oq5cCJuQTk1FEXo2Pb83/AoNSwoHACO3Mf48ah/8c1Wx7C7c7DYLCTFn8NP+6+zjdb2dJL7lX6FEVtti0gwNTENNGrQHq/N5sTqakpwGCwU1m5m/vG3kim6QdyPNGc+s19nb3VRzzeh/tfo+5idVUgX2+7qF/NuvQ0Op0Jmy2Dc2IuZvlP83zf566JJnpmLrn7/sGdJ6Vy1+ZLGZq0mG07bx3QymIIIYxkJHXUsYtd2LAxhCFkk81udlNLbV9X0U8/49zUN9heV8wX2fOZoK1gT9kq8vJWtrhvTtYUYj/7pN1lL02/i+s3/rPZO3Uo5S8sLIuamgLfimNbq4+Hsk4xGh2MS7i100rwnGEfsHLrjE4d259ovNJwJOFX6vwMROYPf71JpNN5qW8RHlDCtppo6vGwOnuWb9sMbSUbiu71raSWXGhjyZf3ce/G/2ux7KCgZEQ8rZr4DtduRqjHI24qKraTn7+qxXGRtx0PD5+GoqhUVe3modTTsOnKeLtiKpFqEUG6SlL1O1hRejrBOhcWXSX7ah0Iwt/DHueGot/zQfacLt6tlmnP5KfVmobbnUPm4Ps507KDv/58H0MSLiO/6EMCAkzk569uttjV+HN7FhgO6fxos2XIhcNfltLzQ+XjzHPk1fGXSf2M5GbRGA+m6veDmgbh+DjBF4xjR9ZMuW/sjb9t236R7//79/+3WVmFhU9Lbu4tDfu+E+mLlup81CLO/xpk8ahHJCwsS4xGhxiNDlEUtZkDqdmcKEajQ76ceIakabf3uVPpkSTevJsdFUVRRa+3Sf7RmeK8L1Bqpg7vcALurgTA6S/Bc4xGhy9PaGHh0+J8K0K+nHiG5F6rExGRC4e/LKGhmTJZe0rCwrL6lfN0RyWaaJnCFDHRcA0KihzDMaKg9Hnd/DIwJDl5sdTX18q1ox6Q4drNPXae0doysVrTfEFTvN+rqkUslpQWozR2NV9tbOy8Jufyi1+80pPP+pEgKv2jvx+oMoYxMpShouPQeRNnaCtlmvaSTNNekqO15yQpaZEco70mU7QX5NXxl8nD466TZzKukmVjbpPrR98nUVGzJTx8WpMy9HqbT7zfeXWAqKjZsnzsLeL8PFWcH8WKc9tvASSfybhKzOZEURRVCqeMF0AWpj0rLx21SJaNuU0URfWJXm/z5Xn/ZuJcSU5eLAtGvNgk40JwcHqLOkd/Eec9DRksxmsPdyXAZ+sbU7QbJClpkYiIFBe/3kR5O23Y+4dUFnuKk7W1MjflXbFa0yQ+/gKJjJzVb3+kI1G8L7TVmibR0XN94e47UoaiqHKC9p4sH3uLL0lyRxU37/5mc6KEhWU1KaMzL0xfPWMGg13M5kR5MuPqhuSx9wVK1ekx8s3EuSIi4nw9XN6bcJ4sH3uLJCUt6tZoX70hwcHpoqBIAgkyhSkynvFNFEMdOpnGtD6vp18GlhwqnP7ysbfIualvdOkcUVGzBfANFvr6mg+Wg9NDjdaWCTS0iV45VBmdaXsPF1FQxIJFBjFIhjJURjJS0kiToQyVOOIkjDDRo+/zevqlaxJAgIxhjExjmkxlqkxlqgxmsAQQ0CPnM2OWQQwSA4Y+v/buEgVFpjNdEkiQ8YzvVBkJCQskPv4Cmaw9JZnaY3LgisCGMc7HCeJ8PVycN+l86fFaWoBoHOHYYLD7lMiWoih/lnm2pGg3CDRkfmhvXzBNe6nP73VHxWbLEECcjwSJzZYhIiJp2u3y8LjrfPscKtJ2m2aot6XfyYJxS6n4+0lkHmfCakoGoI4afvr5z6iqvbVDO0Ru9nxscVcSGJjW4vaioheYPvEX6qlnY/ZV3XJOP91LdPRcNm/+IyEhsyktXYXNdnKnyjGbE9n+cTS2O3YRupJORw8zGh3o9TZqagowGh0YjQ5KS9f5ol9BxxIxHypSVE+hqhZstkyGh13ARcHfU0cAfxj8JMUL9URP2U3BX83UxtdxxgNPUI+HXM/37N27YsCYoCooaGjEEsse9rCLXdRR12y/yUymnnq+5MsWSvHjp3VEhBnDXiePLWzKvqbV/bym7p0xbzcaHT7TyP7o7+ynfSgoOHAQSyxmzAiCCxellFJJJVVUoaBgxEgggQQRRDDBGDCwjW38wi99fQkDBgcOKqignPI+q4OCQgIJDGEIP/ET+eQDEEAAccSRRBJOnGST3WlfeDt2NDQCCAAaInhXUkkxxUQQgQkT61lPMcXddl09QcCvf40/B/36F0ggEUSwl73sYQ9ZZPEjP1JGWafOZbfPRMTDA0npFNaHsmDddQCIeDhr+Bq+r/ucCeoEntncuXHmkY6iqEwb+gIfb59Hfb2bTO0xvtz6pzbN3Nvts3j+8FcZbMjBVW/mst9dSMy/f9vWsGjUNiIe8j6IgyA7bNsDaWMJiJ1D3c4niM5cT+6Oi7n2lOMprbcwx/IB89ffP2AGvEc6J2preHnc/xH0/H6czhuJibm2XcepqgWdzkRNTYHPX0enUwkIaEjJ0lmn8aCgZGpqCqircxMUlExdXcNzVFNTMKCeKZ3OhMFgJyJiJoMDZ7Ei4jEsj0YSPexpcu83Q2wQe26dwVWFpwJQj4etRU9RVPRZw+d+Mmi9ZMTzLUamjCGGVFLZznb2sKfJtkgiGc5w6qhDQaGQQnaykyqqeqvafvy0SlzcfPLzV2OzZVBTU9DrUaF7G1W1+AJ/tTdInNXaMPnrcm0ZEP7lCSSQRBK55LKXvVRS2e5jFRSO4Rg+4ZMu+VPP0Fb2mN9Tf8KGjdGMRoeOTWxiP/t79fwKCsMZTiSR5JDDdrbTWuTsOOIYylD2s58tbGlxMrNxuYEEYsVKDDHYsFFEEVvYQjXVLR6jR0866QQSyD72oaAQQABllHXovujRk0IKoYQiCAqKb7Kj8tc/FZVQQgkiyHecGzcVjf5UVOzYsWFDhw4AQainHg+/vcd11FFJJRVU+CZSXDSMrwwYmMIUvuO7TinBCgo6dCgo1FHHL1+PIXr8dwDkvh3JNX9/mI2eXHSoFNXvxONxUVW1u8XIpH66h3Yri/v330NU1KUsHvUIl/35Mox/eJjqDy8jem5Rs31zv51A5Nh30ekslJauQq93oCgmzOZ0PJ4CioqeoW7lP9HtrqF+lIWYs0q6+bL89BbOWwKIubp54/lB5nxmfPVEu8owmWIR8ZCV8CCf7VnQ6dXEoKBkhgxagBEL2/JXUFGxHZ3ONCBn/A0GO8HB6YSFZfFh5IeEDNnEvRv+yXnvQt1jV4LNADX1HHffjRwo/YSIkCnszLnfp3j3VdREo9HhczpvbQCtQ8ckJlFMMZvZ3GTG1oqVdNJx4eJHfmyzY/bjpy/wpnMS8RAamtnms344YTLF4nDMYe/eFe1qS0dry9iQ/dcm3/WXKM1BBPkiKKuoRBNNAAF8yqedLjOCCIYxDAWFrWz1rVIdqejQEUQQVqwEEEAttdRRRyyxhBLKp3xKHXVMZjJu3OSRRwkluHHjweNbtaqnHjduaqihnnoEwYoVEyafolNDTat18O7rVZpiiCGFFLLJZh/7WjyuJaKJZhjDfH2SVxnz/uulkkpcuNjPfkooaXf5evREE+1TysIJJ5JIaqihgALyyW92rQoKNmxoaJgwsZnNTZ47BQULFsy//nnwUEyxT6kDMGHy3Wvv/T7AAUoo6VJkcRWVdNIJIgj59e9gDr53jfH+1rpf/wDfvjp07GIX+9iHIO2O/NsfGSgBu7oUDbWg4HFePC6Hc0fczebtU/mgajInmj8igDp2e2IZe8sbPPzXJeyrdfDopt93Y7X9DBScd+qJ+dtvM60yXUNZm43zLiPWdcFYnz4AdN8gwrtC6X0BAwJM3foieqPd9uSAx2pNIzQ0k6Gm2YwylAJww7i/UZ5eRsDZt2G97DZe3vEn5ox+kJM/fYASciiqXE9R0Wd4PC48HlefKMZp2u3tMhOfyES2s50DHGjy/XCGE0YY3/GdfwXRjx8/XUahwazKO6iPIcaXfieXXBQU6qknj7xWFY6OYsDAMIYRRphvkFxCCdvYhpvW22UrVoYwhGKK2c/+NvftD1ixkkQSNmxNlAHvPa+nHtevfx486H/9yyW32WqTGTNRRGHDhgkTKioVVODChQ4dJkwYMfqUBhcu3LgxYsSKFSNGn2LTWPkQhHLKceP2KUOFFLKVrQNmItK70hdBBGbMGDD4tnlXDrexjQoq+rCWvYsOHROYwH72s5OdpGg3UFr+44BVGAcCXVIW/fg5FM479QRtsjDy/d+zd+8Kyv4URvDjzVeje4O+8jtsLzqdCZPJQUTELIYYj+Ny2wcc9bsHMVz420z+eyfu4rGyTIIIZSsfA1BVtZsDBxpCTdfUFPTrawQYwQgOcKDJDGgiiQQRxM/83Ic18+PHz0AniCDiiCOSSJ8y6DVrc+JkJzubmNP1NAoK4YSjoaGi8gu/UEAB1VSjQ0cUUcQSSw01ZJNNCCFEEYURo6+MGmq4/a8QnF3BSauKfPV346aU0m6r66vjL2PiiwpjMne0nGwchTDCGGk+FnflbrawpUOrZ378dBdDGEI88exgB/vZ36qZr5/uwa8s+ul2Ks6KIuj53vVB6Al60mSqcVJUEQ/R0XMJsY5iEKO4zPY+E43f4Zm/kejzfnP+v33MMt6pjKOYHIrdm0gyHcdO93s+H0W3O8fnV9SfMWIkgww+53Pfd/HEE0YY61nfdxXz48fPgEJBIZhgwggjkkgCCaSCCvaxj/3sb9XEra8IIIBBDCKUUN8K0X72k0tum76OevRYsRJIoG/lDRpMIzeykQJadju4ZMTzzAj6kt9/c/ch6xYVNbtFBTGYYBJI8K2UFlJIDjndqqT68dMZVFTiiSeSSN/q8gEOsJ/9lFLaJTNaP03xK4t++oTY2Hk4nQ0mA17lZrL2FOv2XIXNltEnjsqK0tAB90QwhhtG38O+Wgev5N7JQ8mZLPqlwS9zrOUihht3cV3oPdSM3I47uQZGhRN9jLPJ8blPBTPvpifZUf0eNTUFTAj+M99XPQ80rCbm56+mvt59yMTe/YEUUqimml3savK9hkY00WxhC/nk97uBnh8/fjpGFFG+QFVu3OxhT6eDmSgoRBBBAgkEEgg0mOGVUUYxxRzgwBFnvh5AANOYxud83sxs1TUlHcsn6ztdth49GWRQTz3b2EYxxf422U+/JoAA7NiJIopgglF+/aun3udLWk65L7qxFwWFwQwmmmj2shcnzgFjptxb+JVFP/2OTO0x3jr5EjJXLqSo6DNMplieSbBw/LpXemSlz2v+GRBgwe3Ooa7O3SVly6t0ev8fENAQ1VSvt3Fn8ixOeNOI45wnyZu5C32+AfuySvLybsXhWNx6occMY8Yvt1LEXsKIpx4PW8qeo6JiO3V1Lt998Xhc6HRqi/epsRmuxZKCy7Wl09fYGjZspJKKHj0qKhvYQCGFvu0aGsEEs451LR5vwkQiiUQRRS21ZJPd6qy5Hz9++i8jGOFLC1BHHUaMjGEMNdSwhz0UUYQePUaMuHC1qIhYsZJIIjZsBBBAPvnsYc8R5Z91KIIIYixjOxScx3mjQsy1rQ/9dOiYylR+4Ae/mamfAY+CghkzFiwEE0wIIb7UONCgZO779S+OOGKJpZpqtrGtyfjlSMavLPrpNxytPcd+slk3+W6CHy9ikvYEu8pXYTYnsmPHHZ0q81CmpHq9jcDAhqA13n3r6lztDorjVQYVpUFB8/5fr7cRHJyOTmciwjKe3JL3yM9fTfk5EVieysfjKfDlKc1dFQl7Xdj+9E2TXKPenDciQmLinwE4zTqRm8PvYEzu6fyS+xJmcyIlJeuwWtOors6jvHyj73ivcthbvpoxxDCUoXzFV1RTjYpKFllsYAPFFDOMYaio7fZLNGEilVRUVL7l2x6uvR8/frqDUEJJIYVyytnIxmbbbdh8ETFrfv0LI4wcctjBDp8/ng0bGWTwHd9RQol/VasVdOiYzOQuRXKFBpO+EEKwYSORRH7kx2ZByPz4OVIwYyaZZEIJBaCaaty4qaLKl4qkjLIupcoZSPiVRT/9hnmpb2HRVfLs3huxWFKYHHIhg9R87tvy506tKLaUD0xVLQDMSnoTNy6eiLyD1yuPZ0HUCuoNHqZs/hcuCti+ZzkiDf5/dXVuAgJMvjo0NldVFBWzOZHg4HRKS9dhMNjR6RoUxsDAWHJynmlWr6CgZMqOUtGt3XxQfVtPiAqQri1nffYiUrQbSFEms3LrDACO0V4jRV/NOcErmfjli+h0plZXF3uSKUzhUz5tMqjTo2ca0/iUTxnPeD7hkw6XO5Sh6NCxla3dWV0/fnqcCCL4//buJTbOc7/v+Pedmfed+3A4vAzvlESLEuUj27KODTnHsXXgAgdpziJFF0GAognQLAJ01aDIogkKFE27SdpF0QJn0UUW2RQB2k2Q5Fwdx7El+8ix6IuutCWSuvAmXubGuZJdcN7nzGhIiTdxOOTv81/wOjPPDGc47/99nuf/L1I0+7tql0U9i1v9sVSNMmXzuvLjN5UdHZy6Ztlu2f1cTdRedj+FCdNLLx101BVjSZFigom68vzbMcAAJzmJF69ZXnqLW8duael2ddDBMMO00cYEE9tqA9FDD0MMESDQUL20TJmVaswxt2/VYUWOAhubYE2ECZMkyTd8wxRTR/5klpJFORDPm936g5f/Dz/6+rdpb78EQC53v2555X6xLB+JxNvE499lfv5nnOz51wSJk2aO2cWfEQwOmOQwnf6KROJtAr5uZhb+hljsNZaXr2JZPhynE8vyEY+9zvyTX2DbcVKp62bsOxmPbceb1hdxP73N23zMxw0HwmHCXOISK6xwj3u7WtZxmctc49qOD0BFDpqDQy+9DDNMihQePMSImb5hDg4TTDDJZN3lfPi4wAXChFlllTx5fPiwsQkT5lu+5SQnzd4bt+dambLZX+PBgw8fIUKECRMkiI1tmnxf5/qOiz44OMSIESVKhAhhwgQIkCXLIx6Zyp5yMNpp5zVeY4klvuVbUqS2dbkRRuikk3HGD31bDpFWYGExxhiddGJhkSbNTW4eyRNcShal6aLR7+DzRYhEzjI9/Re7vh6/v4dCYWZHl7HtOP/jlX/Hf5m9SyZzC8vymaWcF079OeP3/4S1tbxJWsPhl7DtOMvLm++5O87e5V0+qLbzeFoXXZziFFGifMAHO1664cfP27zNDW7wmMf7MVyRPYsRo4ceuugys3slSjyuxmZJVO0BxjjjBAjQTjsDDPAZnzX0oIONvXtddHGf+7uu8NdLL2OMscQSNjYBNoph1c4wbfZ5iRIpUqRJ1yWp0hwv8RIJEqRJY2Fxl7vP/X/aRx9DDHGVqwc0SpHjJ06cc5zDxiZDhhVWTIscDx4qVChSpETJrDKxsChRokiRPPlDW1hHyaK8EC+y7cRmIpGz/Kvh/8SAPcODUg8/+vq3D+y2jyMPHtpow8GhQgUbmxOc4ApXtrzMJS4xySRnOcsHfLDjg14Li1/n1xlnXGXbpUGUKK/zunleTTPNfe5v+fs2NiFC+PCZ5Z5PnxF2n+fttBMhQpSoSQoB0qSZYYZ55nfcuy9MmLOcJUOGJZZYZPFA+v/FiZOvhrQetyoswJu8yd/xd1s+bzrp5DznWWKJL/ny0B6IihwlbkGdGDECBFirhgcPDg42Nus14VTDj9+0xVlnnSWWmGGGRRab3gZEyaIciKGh32dq6n/z+I+99PxpuWF/3m5mBeVgefEyzDCDDLLGGsssU6Bg9kzd5e4zl6P100+IEClSnOLUMxPLrbgzMF/y5V7uirQQC4tRRumjr+5gt0CBa1yjQgULix/wA97nfQoUsLB4i7fw4DF7/tw34toZM3dPn1uVM0CAm9xkiCGiRM0+rmWWzczaQTZ0F9lMgAC/xq9xm9s85OGmv/Mqr5qK1HrOirQWC4sECZIkSZDAi5cSJe5ytymFp5QsimwhRow3eMMUiFhnnTx5ChTqlg24B5EePIQJ48PXkuWW/+zCn/HT7Bg/ufPDTX9+mcvc4x7TTO/qLNf3+B7jjJMhw2u8xjTTO36cvHi5xCU+4qMd3760HrfS41Q1aosIdNDBOc4BG2+s00w39O60sLCrUaDw3IPmLrpIkmSSSdKk9/8OieyRg8Nv8pv8nJ9vul/Rg4eLXCRDhpvc3OQaRKQV+fGb/cp3uHOgt61kUWQLESK8zdvc5S5zzJEhQ4AADo756OCYwg9rrLHKKj58FCkyzniz78K+OsMZeuhhiik8eIgSJUwYL1466OBLvmSCCWBjiV2CBG20mYIYCyyYthlnOEOO3LYq+D3tMpf5Jb9Ur7UjzIuXEUYYZFAl/EWeMsggpzhVdxLTrYxrYXGLW8wy2+xhisg+cosFXuPagW/FUbIoUuM7bPQ5XGaZIkXWWKOTTjroIEYMC4syZVZZNWvQa62xhoVFmDBXuLLtSnWb6aCDl3n5wPboRaPfqevTCPB75/4ff3HjX5ivvXgZYIAyZdKkyZI1/RTdohcWFjlyLLLIMstkyJifOTic4Qxx4rvuCxYlyiijfMZnu7ynchi10UY33fTSC8B97jPFVJNHJXK4WVgECFCkqD2JIkdUO+28zut8zMdNqbaqZPGIGxz8vT1VGK1VWyGvWc6N/ldu3PkPL+z6L3CBDBlTtMVXjTXW6vY+xYjh4AAwwwxTTO3oBezHT4gQXrwssdTwJt9PPyOMcI1rnOc8AQIsVyNPnkA1ypS5x70dLQt17E6u/Rub9q55Bv/z/u5lcXsRBQiYXkRuCX8LiyJF7nGPGfa2P/X7fJ9P+VSziy3Kh49hhumk01TlTJFitho66BUREdlIFC9wgX/gH5q2/1jJojyXHz+/y++yWI0SJRZY4BGPNp3xOsUphhmmQoUsWVKkyJAhTZoKFWLEaKONn3/xP0n+8e/zb7/5b/zf2f9FR8dlPnnvv/Puz/8j3YziwWP2z7W3X+JC1x9x9cEfksvdZ3j4D5ic/BGBwAD5/IN9u68ODm/x1pYtIJ7mwUOSJGOMMcmkKYBRpkyAgOl3FiWKjQ1sVLkqUCBHjjXWzObl2oQvR45/4p9Mcu4u+4wTx4/fVDMMEmSEEVZYqeu5tsqqacpdm8QGCHCRi2TJEiNGkSJp0virYWHxhCfMMbdpCX+XHz899NBLr0maAVNR0u0Tl61Gnvy+nmgYYYQixV0tY5XmOsc5uunmW75lnvkj2ZNKRERkr5IkOcc5PuTDphaqUrIoz+WW6u6ggwQJbGw66SRBwvzOX/KX5MgB8AZvECLEQx6afX7ubNwAA0SJco97fMqnpgeNW4ACYGTk3/PNN38OQJAgJzjBWPu/5MnSh9zgxgvfvzTGGEGCO2pgbWExzLApi+zDR548OXJkyZImvePegjsRIYKNbZpyBwnWNeZ2x1ihwtd8bRJB9/fcwj2wUW69m2666GKKKZP4BggQIYIHDwUKPOYxM8wceEPuGDEucYn3ef+FPqay/05wgjOc4SM+IsPBtdYRERE57IYY4gQnzNdp0owzrtYZsr+iREmQIEyYAgVWWSVDBgvLJAZ+/KyySpo0KVKmQaibaNQmGSVKFCiYZMKdvXK5+yWenjny4GGAATrowMY2s09zzJEnT5IkIUKss06Filne+bQCBe5znznm8OHjdV5nmWVuc9v8Tm/iB8ws/mRfZ6566OEMZ+peoNe53tIVEne6jNjCop9+APMcyJBp2lJkG5tznCNGjE/4RI3BW5CNTZIkI4yQI8cv+WWzhyQiItIUHXTQTTfttOPHzyyz3ORm07d8Pe2ZyeLY6J9y886fHOBwZLs8eIgTJ0GCTjrx42eddTJkeMITsmTx4zf7xgCzJNFdvhirhtt7bI01KlTMbJhb2dOdGXSjtin1Zp5OSp7+eoEFppjacr/Z85KaM5yhn36yZAkSpEABP36zLDFFihy5fZ118uPnTd4kQ4av+EozWgfAj583eAOLjZ6c7v7Mve53lObw4KGffoYYwoePK1xRwi8iIseOhcUrvIKNzSSTLLN8qI8rdzyzuL6+3tBQXXbGnVHbbK9OkCDddJMggacabq8wt/KmhWWaoi+yyBOeHPhSwGbz4sXBqXsM/fjpp58oUYIEcXBMUZVZZilSNAVr3GWxNnZDYuomq+6ev3Q1MmT4Ht9jltm6mU3ZXxYWL/ESgwzyCZ+oiE0Ls7HpootBBgkS5AEPmGJKSaKIiBw7FhaDDHKa09zlbstU/NYy1G3y+3s4O/xHjN/5w11d/iQnGWaYNdbIkcOPn1I1woSxqrHKKnPMscgiFSpmxs8tXCI75+DQTTc2tik+U6RoluBuxl226xanceMhDxsaf8ve+PARJ04vvWYf7BRTepxbjIVFjJjZ72pjU6LEPPM84pGSfhERObYGGWSUUaaZZoKJpu9D3Akliwfkh/yQv+Vv6xK+KFEAsmRb6kkjslMePMSI0V6NCBHzszJlVljhMY9ZYunQrdWXRg4OceK0006CBA4O66yzwgpzzLHAwqFeUiMiInJQBhmkjz4+4ZNmD2VXlCweELfZ9DjjzR6KyIHopJMxxsyy3hQpFllkiSVVwjxELCxCNREhYnqAevHWLX93FSmavp+LLGpZqYiIyCZ8+HiXd/kFv2jZk+G+Zg+g2f756M/4mzv/bN+uz20zMcQQYcJ1M4b3ub9vtyPyogQIMMpo3ffc9iZuWxDA/NNbq4a7xxY2/jkus8xVrmqG6RDx4mWEEZIkTfJXuz83S5YZZsiRM0vftepBRERkdzro4AEPWjZRhD0mi7YdB6BUWt6HoRyMl3iJUUZJk2aSSX585wf48eNUw60gGiBAkCAVKtzgxpYFZCJEaKedLrrMstJ55rnFLc2eSEsqUWKAATMDmCFjKswWKdYtpXZbrnjwmGq6crg4OCRJ0kcfQYJ8wzf8I//Y0m9cIiIircCDhxChZg9jT47dMtQoUUYZZZxxhhmmhx5T8KRI0fQmdCNIkPOcr+tFCL9akpUhwzLLzDGn5FCODLfoTKQaUaI4OJQp84AHTDLZ7CHKFkKESJKkhx4cHIoUmanGZhWYRURE5MU5y1nixLnK1WYPZVeOXbII8H2+z9/z9zs6s+4eKGtJlhxnNjbnOMcww/yYHx+7li0ePESJYmPTVo0wYbMnc6Uayyy/0HHY2KbATJw4AQLm/5lbUXmW2WP39xERETmM3BoON7jR7KHsWEsnixYWZzhDN92ssUaevJkRfMzjLc+iDzHEaU7zkIdMM62S7iJVJzhBkiR+/AANJ1Q8eMiR4wEPmGHmWC1lHGKIUUaZZ54SJVZYIUWKDBmTRLbRRpw4CRKkSDHBBCus7NsY2mnnAhfIk2epJpQUioiIHG6jjNJHn5l4KlNmlVW+5utDXSiupZPFS1yigw5+wk+oUCFQjTBh+ugjRIg55rjNbcqUGy7fSy/99BMmTIUKN7nJE5404Z6INJ8PH+/wDh/zMXnyzR7OoRElykUuMsccN7m57QQ5RoxXeZUJJnjM430ZyyUu8TmfKzkUERFpUV68BAkSJUqSJAMM8Nf8dbOHtaWWThYBkiQ5z3luc5tppht+3kMPZznLPe49c5+Vjc0rvEKMGAUKlGqiSJF8TRQoaEmqHDlx4owxxlWuHqsZw2cZZJARRrjClV0laBYW7/Ee7/P+vhT/2e4SegsLHz5TfMgN9XQVERF5cZIkSZCoe+/14iVM2NQ7qVAhR448eVONfJ75Jo98ay2fLMLGgdFZzprlqDPMkCGDHz8BAvjxc4Yz/BV/ta2DYB8+0ybAxsbBMbOW7vX58NX1HbOqUaDAAgvMM0+KlA66pWV48DDKKN10A/AFX7zwvXe7ZWERJvzCikr58ZvlnuOM7+l1fJrT5MjxkId7HtcAA4wx1jDzW/u/CDaWD7sntNxoo4073OEBD/Y8DhEREfkVG5vv8l1WWeUhD+vef8uUyZFr2ZzgSCSLtbx46aGHEKG6mUA3XjQ/fjqr0UYbFhZp0nzO5y37JJHjx4eP93jPJBeHqVdiG21c5CJZsoQI8ZCH3OXurl9fblP6GDGzJGSNNW5yk0UW9zzeIYYIEeIWt/Z8XXsRJsxbvMVnfMYSS00di4iIyFHyDu/wFV/ty3HDYXPkksXDaIQRuuhq2ZK5cjzZ2PTRxwAD+PCxxhoFCuYETJ48GTKssLLpnuDt+h1+hwUWyJPHwmKddXMmrky5bkl4J52ss851rlOggIXFb/Ab/JSf7jihfZVXaaPNNKVPkSJNmic82VVy7MVLvBrttBMmDGy017nN7UPRWqeNNt7hHbJkeZ/3dQJLRERkj/rpp5dernGt2UN5IZQsvgAWFh10kCRJJ50UKHCTm/taFVHkoFlY+KvhLsmOEKGNNnz4AChRYoEFZpklRWpb1+vOFBYo8Lgaa6zh4NTdng8fT6rhJjknOYkf/65m7X6L32KCCR7xiCWWnps42diEqhGpCfexqVBhuSYOosqyH3/d4/T038fGrvv9VVZZYonFaoiIiMjuWFi8wis4OFzj2pE9AXvsk8VhhumllwoVs7bY/dzGxo+/7oDLwqJEidlqlCnTXo04cRwc1lhjkUVmma07sBU56mxsuuiim24za1ekaBKUZZa3nLWzsemhhz768OAxr0X39Qi/So48eFhnnQoVrnBlV68xC4sECfroo512oLFVSK0SJVZZJUeODBnSpMmSfWGvbz9+wk9FiJAZO1C3xL5I0XzuLsE/TMuHRUREjpIuuniTN1lkkcc85iEPj+T77rFPFr14SZCgqxoxYjziEfe5b6qgPv2Hd3BIVsOL1/Q6e9aBsMhx5eDQTjsJEsSJm1nIWhYWRYpkyZIhQ7Yah2VDuLVJuMqUtz1GHz4GGKCLLkKEWK/GZooU6x6LLFlWWT0Uj4eIiIhs8OOnhx5Oc5rP+fzIteE79sni0ywshhjiBCdMRcEllphj7sj98UUOExubCBEzixYhQoiQScwyZMwM5YuoNOzgECFClChttBEjhgcPAGusmcSuNiyshqWesPF/ZI01k/xmyGBjM8ood7nLHHOssrqv4xcREZHm8eLldV4nRIi73OUxj4/ECV4li89hYxMnznnOc4UrOsATaZIIERLViBEz+wQXWWSCCYoUn3sdFhYxYuZ63CI0sDGTlyZtivakSO2pJ6EHT93+Rg8eJphQn0MREZEjzIePEUZIkgRgnnlmmGGZ5ZZMHpUsboODwzu8w0d8pGRR5BDx4qWTTs5ylixZvuALkzR68dJNNx10ECdu9jmmSJkCLwdRhEZERESOJwuLbrpJkiROHAuLDBnmmGOe+Ya+yYeRksXn8OLlMpf5lE9Jk272cERkC+20c5GLzDNPnDgVKqbI1DLLmtETERGRposQMcUAAwTMtrc0aVI1UaHS7KECShaf6zSnAZhgoiWnjkWOE7fX4SKLer2KiIhIS/DhI0qUWDV66OE615lnvtlD216y6DbK3oyNjRfvltOobbQRIWJK3teGDx9lyswyyyMeHcolnj30MMAAAQJ1FRBhY4/TDW5oxlFERERERPaFBw+XuGQqyLutyPI1McvsgSxjfWayaGExxhi99FKihIXFKqsssogfP110UaJEmTIBAuTJM800RYqc5CQRIiyxxAorFDeJChXTW62XXoIEqVAxTb0P+0bQMGFe5mVChChRMn+82l5n7ufuErinqyqKiIiIiIhsxcLCwSFQE/3048XLAgsECBAkuGl7Mtcqq3XLXLfbnuyZyeJbvMUjHjHJpPlekCAJEhQpssBC3Y0ECTLIIA4O97lPhsw2H4JfcQtWdNNNnHjDz1erkSNn7uxh6G3oxUuAAP5quJ+7Hzfr01Y7Uxklyrd8yy1uNfFeiIiIiIhIK7Cxaafd5EbP2ucYJGiWucaImYrw66zzIR9uebmW2rNoYREgQKga7p11+5yts06BAkWK5mNtuN8rU8bBMdcTIkSQICFC+PEDUKFCqRplyubz2q8LFMiQ2VbhjNqxhwnX3bYHDw4OH/IhBQov9DEUERERERHZjpZKFp/HnaJ1cBr2SNZ+7cNHkSK5arjZ+CqrJlnz4sWHD7smnv7aj9/0T4ONZDVLliJFwoRN4un+LE+eLFlzu26oSqOIiIiIiBw2RypZbDYLizBhHByyZDVLKCIiIiIiLUvJooiIiIiIiDTwNHsAIiIiIiIicvgoWRQREREREZEGShZFRERERESkgZJFERERERERaaBkUURERERERBooWRQREREREZEGShZFRERERESkgZJFERERERERaaBkUURERERERBooWRQREREREZEGShZFRERERESkgZJFERERERERaaBkUURERERERBooWRQREREREZEGShZFRERERESkgZJFERERERERafD/AV6Jpk+153jKAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1152x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import cartopy.crs as ccrs\n",
    "\n",
    "plt.style.use([\"dark_background\", \"fast\"])\n",
    "\n",
    "fig = plt.figure(figsize=(16, 9))\n",
    "\n",
    "ax = plt.axes(projection=ccrs.PlateCarree())\n",
    "im = day[0].T.plot(\n",
    "    ax=ax,\n",
    "    add_colorbar=False,\n",
    "    add_labels=False,\n",
    "    transform=ccrs.PlateCarree(),\n",
    "    cmap=\"CMRmap\",\n",
    "    vmax=2,\n",
    "    vmin=0,\n",
    ")\n",
    "\n",
    "ax.coastlines(color=\"purple\", alpha=0.8, linewidth=0.6)\n",
    "ax.set_axis_off()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b6ce2caf-ca7e-4de9-8810-618e982d7c7f",
   "metadata": {},
   "source": [
    "This can be turned into an animation with the following snippet.\n",
    "\n",
    "```python\n",
    "import matplotlib.animation\n",
    "import numpy as np\n",
    "\n",
    "\n",
    "def animate(i):\n",
    "    arr = day[i].T.data.ravel()\n",
    "    arr2 = np.ma.masked_array(arr, mask=np.isnan(arr))\n",
    "    im.set_array(arr2)\n",
    "    return (im,)\n",
    "\n",
    "ani = matplotlib.animation.FuncAnimation(fig, animate, frames=10)  # frames=len(day) to make it longer\n",
    "ani.save(\n",
    "    \"imerg.mp4\",\n",
    "    fps=15,\n",
    "    extra_args=[\"-vcodec\", \"libx264\"],\n",
    "    savefig_kwargs=dict(pad_inches=0, transparent=False),\n",
    ");\n",
    "\n",
    "from IPython.display import Video\n",
    "\n",
    "Video(\"imerg.mp4\", html_attributes=\"controls loop autoplay\")\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ca410c3e-c213-43bd-9b88-824467285e49",
   "metadata": {},
   "source": [
    "Here's a similar animation for a month's worth of data:\n",
    "\n",
    "<video controls width=\"80%\" src=\"https://ai4edatasetspublicassets.blob.core.windows.net/assets/pc_video/pc-examples-imerg-long.webm\">\n",
    "</video>"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}