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    "(stereographic-subsetting-page)=\n",
    "# Subsetting ARCO Data with Original-grid"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The \"plate carrée\" projection (equirectangular projection centered on the Equator) is widely used. It uses simply x=longitude and y=latitude on a map. However, for regions near the poles - such as the Arctic and Antarctic - alternative coordinate systems, including the stereographic projection, are often employed. The specific projection applied to each dataset is detailed in the respective product documentation, available through the [Copernicus Marine Data Store](https://data.marine.copernicus.eu/products) (**e.g.** [this product description](https://data.marine.copernicus.eu/product/ARCTIC_ANALYSISFORECAST_PHY_002_001/description)).\n",
    "\n",
    "Maintaining data in the Original-grid format, rather than only providing longitude and latitude coordinates, offers significant benefits:\n",
    "- It preserves the dataset's original structure and integrity\n",
    "- It facilitates direct use of the Original-grid coordinates for relevant applications\n",
    "\n",
    "We present in this notebook how to subset those data using the Copernicus Marine Toolbox."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Original-grid Coordinate System"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Different Coordinate Systems Have Different Bounding Options"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Most datasets use a longitude/latitude projection system. For area subsetting, the standard parameters are `minimum_longitude`, `maximum_longitude`, `minimum_latitude` and `maximum_latitude`.\n",
    "\n",
    "When working with the Original-grid coordinate system, the subsetting parameters differ:\n",
    "- For the x-axis: `minimum_x` (or `--minimum-x`) and  `maximum_x` (or `--maximum-x`).\n",
    "- For the y-axis: `minimum_y` (or `--minimum-y`) and `maximum_y` (or `--maximum-y`). \n",
    "\n",
    "These parameters enable subsetting operations based on the Original-grid projection coordinates."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Different Coordinate Systems Belong to Different Parts"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For a given dataset and version, the data in stereographic projection is in a different part.\n",
    "\n",
    "Consequently, when downloading data in their Original-grid, you must explicitly specify the dataset part:\n",
    "\n",
    "- Command-line interface: Use ``--dataset-part originalGrid``\n",
    "- Python interface: Specify ``dataset_part=\"originalGrid\"``\n",
    "\n",
    "If missing, the toolbox will automatically return the default geographical coordinate system, in (longitude, latitude) projection."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Python Interface and Plot Comparison"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To demonstrate the data retrieval process, we provide an example comparing plots of similar regions using the toolbox. We first illustrate how to download datasets in geographical coordinates, followed by the Original-grid projection method."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### With Longitude/Latitude\n",
    "This established toolbox option retrieves an Arctic region as follows:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO - 2025-03-20T09:02:26Z - Selected dataset version: \"202105\"\n",
      "INFO - 2025-03-20T09:02:26Z - Selected dataset part: \"default\"\n"
     ]
    },
    {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (time: 5844, depth: 1, latitude: 101, longitude: 1440)\n",
       "Coordinates:\n",
       "  * depth      (depth) float32 3.0\n",
       "  * latitude   (latitude) float64 65.0 65.25 65.5 65.75 ... 89.5 89.75 90.0\n",
       "  * longitude  (longitude) float64 -180.0 -179.8 -179.5 ... 179.2 179.5 179.8\n",
       "  * time       (time) datetime64[ns] 2007-01-01 2007-01-02 ... 2022-12-31\n",
       "Data variables:\n",
       "    chl        (time, depth, latitude, longitude) float32 dask.array&lt;chunksize=(3066, 1, 10, 1440), meta=np.ndarray&gt;\n",
       "    zooc       (time, depth, latitude, longitude) float32 dask.array&lt;chunksize=(3066, 1, 10, 1440), meta=np.ndarray&gt;\n",
       "    o2         (time, depth, latitude, longitude) float32 dask.array&lt;chunksize=(3066, 1, 10, 1440), meta=np.ndarray&gt;\n",
       "Attributes:\n",
       "    source:       NERSC-HYCOM model fields\n",
       "    references:   http://topaz.nersc.no\n",
       "    institution:  NERSC, Jahnebakken 3, 5006 Bergen, Norway\n",
       "    title:        Arctic Ocean Biogeochemistry Reanalysis, 25km surface daily...\n",
       "    Conventions:  CF-1.4\n",
       "    history:      Created by program hyc2proj, version V0.3</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-c6f26cf5-28f9-47ad-9f18-7292dc30ec17' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c6f26cf5-28f9-47ad-9f18-7292dc30ec17' 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>: 5844</li><li><span class='xr-has-index'>depth</span>: 1</li><li><span class='xr-has-index'>latitude</span>: 101</li><li><span class='xr-has-index'>longitude</span>: 1440</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-555fc405-1e19-4a3a-be90-7bb9536a8b70' class='xr-section-summary-in' type='checkbox'  checked><label for='section-555fc405-1e19-4a3a-be90-7bb9536a8b70' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>depth</span></div><div class='xr-var-dims'>(depth)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>3.0</div><input id='attrs-ae37227f-6090-4685-840a-785543da620a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ae37227f-6090-4685-840a-785543da620a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-587213b3-878d-4ab9-9bb5-4649eed85041' class='xr-var-data-in' type='checkbox'><label for='data-587213b3-878d-4ab9-9bb5-4649eed85041' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>long_name :</span></dt><dd>Depth</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>standard_name :</span></dt><dd>depth</dd></dl></div><div class='xr-var-data'><pre>array([3.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>65.0 65.25 65.5 ... 89.5 89.75 90.0</div><input id='attrs-6b33b035-06f9-4721-aeba-58a96682410a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6b33b035-06f9-4721-aeba-58a96682410a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8f3a5428-d738-4bfe-a296-11d059778eb3' class='xr-var-data-in' type='checkbox'><label for='data-8f3a5428-d738-4bfe-a296-11d059778eb3' 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>axis :</span></dt><dd>Y</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([65.  , 65.25, 65.5 , 65.75, 66.  , 66.25, 66.5 , 66.75, 67.  , 67.25,\n",
       "       67.5 , 67.75, 68.  , 68.25, 68.5 , 68.75, 69.  , 69.25, 69.5 , 69.75,\n",
       "       70.  , 70.25, 70.5 , 70.75, 71.  , 71.25, 71.5 , 71.75, 72.  , 72.25,\n",
       "       72.5 , 72.75, 73.  , 73.25, 73.5 , 73.75, 74.  , 74.25, 74.5 , 74.75,\n",
       "       75.  , 75.25, 75.5 , 75.75, 76.  , 76.25, 76.5 , 76.75, 77.  , 77.25,\n",
       "       77.5 , 77.75, 78.  , 78.25, 78.5 , 78.75, 79.  , 79.25, 79.5 , 79.75,\n",
       "       80.  , 80.25, 80.5 , 80.75, 81.  , 81.25, 81.5 , 81.75, 82.  , 82.25,\n",
       "       82.5 , 82.75, 83.  , 83.25, 83.5 , 83.75, 84.  , 84.25, 84.5 , 84.75,\n",
       "       85.  , 85.25, 85.5 , 85.75, 86.  , 86.25, 86.5 , 86.75, 87.  , 87.25,\n",
       "       87.5 , 87.75, 88.  , 88.25, 88.5 , 88.75, 89.  , 89.25, 89.5 , 89.75,\n",
       "       90.  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-180.0 -179.8 ... 179.5 179.8</div><input id='attrs-1bfa1f58-8950-4701-b3e1-33f8f5854e7b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1bfa1f58-8950-4701-b3e1-33f8f5854e7b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-35b34ca7-75fb-4d21-903b-d42be7a099ee' class='xr-var-data-in' type='checkbox'><label for='data-35b34ca7-75fb-4d21-903b-d42be7a099ee' 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>axis :</span></dt><dd>X</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([-180.  , -179.75, -179.5 , ...,  179.25,  179.5 ,  179.75])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2007-01-01 ... 2022-12-31</div><input id='attrs-ef02582e-deac-4dbf-bca8-ee45fc7ab4f5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ef02582e-deac-4dbf-bca8-ee45fc7ab4f5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1799feae-68e4-4fef-8470-7cf029266043' class='xr-var-data-in' type='checkbox'><label for='data-1799feae-68e4-4fef-8470-7cf029266043' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>unit_long :</span></dt><dd>Hour Since 1950-01-01T00:00:00+00:00</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2007-01-01T00:00:00.000000000&#x27;, &#x27;2007-01-02T00:00:00.000000000&#x27;,\n",
       "       &#x27;2007-01-03T00:00:00.000000000&#x27;, ..., &#x27;2022-12-29T00:00:00.000000000&#x27;,\n",
       "       &#x27;2022-12-30T00:00:00.000000000&#x27;, &#x27;2022-12-31T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-96ce985a-0d8f-43f8-ada4-840dc4aecb60' class='xr-section-summary-in' type='checkbox'  checked><label for='section-96ce985a-0d8f-43f8-ada4-840dc4aecb60' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>chl</span></div><div class='xr-var-dims'>(time, depth, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(3066, 1, 10, 1440), meta=np.ndarray&gt;</div><input id='attrs-ea032f00-3bac-4453-b3af-8a76f7cd1e3f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ea032f00-3bac-4453-b3af-8a76f7cd1e3f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-89ff555f-622a-4604-bd7d-dba2dfc5dc90' class='xr-var-data-in' type='checkbox'><label for='data-89ff555f-622a-4604-bd7d-dba2dfc5dc90' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>mass_concentration_of_chlorophyll_a_in_sea_water</dd><dt><span>units :</span></dt><dd>mg m-3</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                        <td> 3.17 GiB </td>\n",
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       "                    <tr>\n",
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       "                        <td colspan=\"2\"> 8 chunks in 3 graph layers </td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>o2</span></div><div class='xr-var-dims'>(time, depth, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(3066, 1, 10, 1440), meta=np.ndarray&gt;</div><input id='attrs-52a7c9cf-0ed0-401a-bc2b-040f487481cd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-52a7c9cf-0ed0-401a-bc2b-040f487481cd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9f75a63a-f006-4510-9165-f24e204b33c7' class='xr-var-data-in' type='checkbox'><label for='data-9f75a63a-f006-4510-9165-f24e204b33c7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>mole_concentration_of_dissolved_molecular_oxygen_in_sea_water</dd><dt><span>units :</span></dt><dd>mmol m-3</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 3.17 GiB </td>\n",
       "                        <td> 538.95 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (5844, 1, 101, 1440) </td>\n",
       "                        <td> (3066, 1, 32, 1440) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 8 chunks in 3 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-003da0f1-cd17-42d1-98b6-5904edd22869' class='xr-section-summary-in' type='checkbox'  ><label for='section-003da0f1-cd17-42d1-98b6-5904edd22869' class='xr-section-summary' >Indexes: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>depth</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-96b28fa1-954c-4e6d-b34c-1103aa18064b' class='xr-index-data-in' type='checkbox'/><label for='index-96b28fa1-954c-4e6d-b34c-1103aa18064b' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([3.0], dtype=&#x27;float32&#x27;, name=&#x27;depth&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>latitude</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-e1ecaa21-f978-4e7b-8cea-c135fc670853' class='xr-index-data-in' type='checkbox'/><label for='index-e1ecaa21-f978-4e7b-8cea-c135fc670853' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 65.0, 65.25,  65.5, 65.75,  66.0, 66.25,  66.5, 66.75,  67.0, 67.25,\n",
       "       ...\n",
       "       87.75,  88.0, 88.25,  88.5, 88.75,  89.0, 89.25,  89.5, 89.75,  90.0],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;latitude&#x27;, length=101))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>longitude</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-2a2abd26-b7b6-4c50-bf15-84b9feb8ca2a' class='xr-index-data-in' type='checkbox'/><label for='index-2a2abd26-b7b6-4c50-bf15-84b9feb8ca2a' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ -180.0, -179.75,  -179.5, -179.25,  -179.0, -178.75,  -178.5, -178.25,\n",
       "        -178.0, -177.75,\n",
       "       ...\n",
       "         177.5,  177.75,   178.0,  178.25,   178.5,  178.75,   179.0,  179.25,\n",
       "         179.5,  179.75],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;longitude&#x27;, length=1440))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-53be00d0-bba8-4662-94ee-03929c54825e' class='xr-index-data-in' type='checkbox'/><label for='index-53be00d0-bba8-4662-94ee-03929c54825e' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2007-01-01&#x27;, &#x27;2007-01-02&#x27;, &#x27;2007-01-03&#x27;, &#x27;2007-01-04&#x27;,\n",
       "               &#x27;2007-01-05&#x27;, &#x27;2007-01-06&#x27;, &#x27;2007-01-07&#x27;, &#x27;2007-01-08&#x27;,\n",
       "               &#x27;2007-01-09&#x27;, &#x27;2007-01-10&#x27;,\n",
       "               ...\n",
       "               &#x27;2022-12-22&#x27;, &#x27;2022-12-23&#x27;, &#x27;2022-12-24&#x27;, &#x27;2022-12-25&#x27;,\n",
       "               &#x27;2022-12-26&#x27;, &#x27;2022-12-27&#x27;, &#x27;2022-12-28&#x27;, &#x27;2022-12-29&#x27;,\n",
       "               &#x27;2022-12-30&#x27;, &#x27;2022-12-31&#x27;],\n",
       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=5844, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c2ba33bf-048a-40d6-a9c6-19452c529b13' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c2ba33bf-048a-40d6-a9c6-19452c529b13' class='xr-section-summary' >Attributes: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>source :</span></dt><dd>NERSC-HYCOM model fields</dd><dt><span>references :</span></dt><dd>http://topaz.nersc.no</dd><dt><span>institution :</span></dt><dd>NERSC, Jahnebakken 3, 5006 Bergen, Norway</dd><dt><span>title :</span></dt><dd>Arctic Ocean Biogeochemistry Reanalysis, 25km surface daily mean</dd><dt><span>Conventions :</span></dt><dd>CF-1.4</dd><dt><span>history :</span></dt><dd>Created by program hyc2proj, version V0.3</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (time: 5844, depth: 1, latitude: 101, longitude: 1440)\n",
       "Coordinates:\n",
       "  * depth      (depth) float32 3.0\n",
       "  * latitude   (latitude) float64 65.0 65.25 65.5 65.75 ... 89.5 89.75 90.0\n",
       "  * longitude  (longitude) float64 -180.0 -179.8 -179.5 ... 179.2 179.5 179.8\n",
       "  * time       (time) datetime64[ns] 2007-01-01 2007-01-02 ... 2022-12-31\n",
       "Data variables:\n",
       "    chl        (time, depth, latitude, longitude) float32 dask.array<chunksize=(3066, 1, 10, 1440), meta=np.ndarray>\n",
       "    zooc       (time, depth, latitude, longitude) float32 dask.array<chunksize=(3066, 1, 10, 1440), meta=np.ndarray>\n",
       "    o2         (time, depth, latitude, longitude) float32 dask.array<chunksize=(3066, 1, 10, 1440), meta=np.ndarray>\n",
       "Attributes:\n",
       "    source:       NERSC-HYCOM model fields\n",
       "    references:   http://topaz.nersc.no\n",
       "    institution:  NERSC, Jahnebakken 3, 5006 Bergen, Norway\n",
       "    title:        Arctic Ocean Biogeochemistry Reanalysis, 25km surface daily...\n",
       "    Conventions:  CF-1.4\n",
       "    history:      Created by program hyc2proj, version V0.3"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import copernicusmarine as cmt\n",
    "dataset_lonlat = cmt.open_dataset(\n",
    "    dataset_id=\"cmems_mod_arc_bgc_my_ecosmo_P1D-m\", \n",
    "    variables=[\"chl\", \"zooc\", \"o2\"], \n",
    "    minimum_latitude=64.99684, \n",
    "    maximum_latitude=90, \n",
    "    minimum_longitude=-180, \n",
    "    maximum_longitude=180,\n",
    ")\n",
    "dataset_lonlat"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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07zOxiy/HR/HixXn79i1v3/phZ5f/q2MFguyIiIHLhrx7F8iVK1eQy+WYmZlSr54mQ7Bbt26AxtsB0K5d80TPaWKiiTHTxq2lJPPnT6dixbK6GmKBge/j1JvTsmXLKoKCHlGjRhUUCgVjx47l2bNnSKVSId5SAJVKxbBhwyhRogR+fn6ULu2Aq+uGVLveggX/480bLxYtmpGkLxTxsXr1RsqVq8vWrXtwcHDAx8eHrVu34uzsLMRbGtCzZ0+WLVvGq1evmDVrFitWrPjq+Pnz5wOwdm3SMpcFguyCEHDZkCtXrlC7tiZGKSIikkuXrmNnZ0fevHmBz+n6+fLlSfSczs7taNiwDn//vTrlDQb27FmPubk5AM+fv+LFi9e6YyqVigcPnvD+fTD585dn1qwlHD26HQALCwvKly+fKjZlN8LCwihYsCBr12oyhjt2bMW1a8cyRV20du16Mm3aPIKCPtCvXz8ePXokBH0aI5VKGTNmDPb29kyfPh0rK6uvjq9eXVOjUrvMLRAI9BFfO7MhsbMjjY2NiI6WU69ePUBTA2vy5MkYGhrSoUPLRM9pYGDAgQObU9pUHfny5WHVqnn06zcKgIoVP5eUaN78Rzw8bmNkZIRcLmf79r26rhFDh8aN9RMkjfDwcC5evMjAgQPx8/OjYMECREREsHJlxq9zp1QqGTRoHJcvX6dZs2acOHHiuz15grRB6xUNDv6QzpYIBBkTIeCyIbFLN0RHa2LgevXqBcD69euRy+UsXvxbhvOseHtrMhBjL9MGBATqyqBo4/nevQti3Lj/AZq6d1WqVKFBgwbC45IElEols2bNwtvbW1d4GWDSpBFMmTI6na2Ln4CAQIyNjQkNDWXSpFncvn2fwMD3qFQqKlasmObibfTo0RQtWpTevXtjbZ20BB4B7N69G4CKFUVGsEAQH0LAZUN27tzJ77//TnR0tC6Nv2jRogBcvnwZgC5d2qFSqXB3v41MJqVq1UrpZq+WrVs1b+hNmtTX7ZPLFUilUr22WCYmxkRFfS4t0b17dwB+//13pk2blkbWZk5UKhUbN25kzJgxfPr0CQBLyxz89FNH7Ozy6xIGMhJHjpxixIgphIaG6e3PlSsX1atXp2fPngwfPjxNxZubm5suxmvs2LE4OjpSpEgRypQpw6xZs0TMXSJYu3btfyVhUr5Wo0CQFRDvItmQDh060KFDB4KDgylZsiTVqlWjTJkyADg5ObFz507s7avonbNu3VKcndulh7k6fH0DAJg8+bOIKFSoAO7up6hSpSkAp0+7Uq2aIwCFC1fm48fPyQ7/+9//iI6O5vffE1/gNTtx7do12rZtq2sv9sMPbVmwYHqSy7+kNcePuxEaGoajoyOlS5fm/fv3LF26NF1jH9esWQPAkCG92bnzAF5eXnh5eXHw4EGePn2Kq6sroPF0Xr9+nVq1aoml3S8wNTVFrVZnuJUAgSCjIN4xsjHW1tYEBQVx4sQJ3b7Ro0fj6upK9+7dad26NVOnTgVgz55D6WWmDh8fLwIC7mNvX0hvf9Gi9gQE3OfevYs68Qbw4sVNNm3SeEEKF7ZDIoHZs2czffr0FG1kn9Fwc3PjwIEDiRqrUqnYsmULpUqVonbt2gQHB9O/f3cCAx+yfv2yDC/eNm3ayf79x/57vImdO3dy6tSpr4q3vXv3cujQIRYtWsSSJUtSxa6xY8cCcOHCNR4+vMzvv//CgweXyZs3N//88w/du3cnd+7cWFhYULduXUqVKiV6fX6BNi730qV/Exxz5Mgppk2bS0hIWIJjBIKsiujEIPgqcrkcY2NjSpYszvXrJ759Qgamc+d+nDunWSKePXt2lu1VamFhzqdPERQtWpQlS5bQqVOneMcdPnyYn376icjISGQyGQ0a1Gbx4hkULWqfxhYnj1WrNjB9+nxMTU1ZsGABI0eO/Op4pVKJs7Mzhw7pfxlJxFtgsujTpw9bt24FoECBfNy9exEXl61MnTpXd00bm1yULFmca9fcKV68OO/fv6d48eKMGTOGnj17popdmYUjR47Qrl07ihWzZ/HimTRqVFd37MSJs/TrN5qoqCgAzM3NeP36Vob1YopODBnvvrMCGfOvXZBh0C43jho1MJ0t+X6WLJmpe3z79u2EB2ZipkyZwqdPERgaGvL69Ws6d+5Mvnz5mDlzJq9fv0apVLJlyxbatWtHhw4diIlRMmnSCHx977Bv38ZMI94AduzYB2h+l18TbyqVijlz5mBpacmhQ4dwdCxP/fo1AU04QWqxZcsWnV2+vgG8fx/M0KF9efHCnfnzpxEY+JBnz25w7NhOChWy4/nz5ygUCm7dukWvXr2oUKFClvYUf4vWrVtTtWpVXrzwpnPnfvz8s6Yn86ZNO+nWbYhOvIGmHNK//7qnl6kCQbogBFw2R/uhnhBnz54FoFu3zmllUqphaZkj1uOs923w+PHjzJ8/nwIFbHnx4gavX3vSp09XQkJC+O2337C3t8fQ0JC+ffty5MgRihYtzI0bJ5kyZXSmjDPSVue/evVqgmP++usvrK2tmTZtGjKZlAUL/oeLyxIuXtQsy927d4/z58+nin1KpZKHDx8C8PPP/XTtvXLmtGTIkD66RIbw8HACA98jkUjInz8ve/asp3r1yty7d48HDx6kim2ZAalUiru7O+/fv6dEiRLs2LEfF5e/dRnmsVGr1bRp0wNHx8b4+QWkg7UCQdojBFw2pk2bNroP9enTp8c5Pn78eN2HY1hY/J0PMhMzZiwEwMjIiIkTJ6azNSmPNp7r0qV/sLCwwMzMjOXLZ+Pnd5e9ezfqxQeWL18aT0+3OPGEmQUXl785c+YiOXPmpFOnTpQrVw5DQ0Pu378PaOLc8uXLx9ChQ4mKimLSpBF4e3syeHAvjI2NMTTUiKfnz5/rljlTEl9fX6ytrTlz5gwlSxZn9uypCY41MDAgKioKtVrNs2cvcXbuz+3bmvvQFq/OzmhfR4DJk2dhaGjImDFjqFChAjNnziQmJoZXr17Rpk0bvL19qFSpEZcvJxw3JxBkFYSAy4YEBwdjbW3NsWPHKFJE8wF+/PhxvTE3b95k6dKlAFStWomcOTO/x2rKlNHIZFLs7e0pVapUepuT4hQuXBiAadPm6e2XSqU0aVKPkSM/L4P37989TW1LaebMWYaZmRmenp507dqVBw8eoFQqKV++PMWKFaNLly4EBwczcGBP3rzxYsqU0br4qMKF7Xjx4iag6bfp4uKSorbt27ePkiVL8vHjR/r168alS4e/Ot7ExARX1/XIZDLs7OyoX78++fLlo1ixYlSrVg2JRJJgHGN2wd7enpo1Ncvef/31F8uWLePOnTsMGjQIGxsbHBwcOHr0KAAKhYKZMxelp7kCQZogyohkQ4oVK0poaBgymYxy5Urx6pUPrVu31hsTe1l1w4ZlaW1iqmBnlx8jI6Msm+23atUq9u7dy65dB1izZkGc4+3bt+D9+8d8+BCS4bNLv8aNG7cIC/vI8OHDKVq0KI0aNdLLpH758iWtWjVh/fqlmJmZxTvH8OGT//s5PEVqsgUHB7Nr1y5Wr17NgwcPMDQ05I8/ZtO7d9dEnd+0aQOKFi3M27d+uqbvABKJBIDcuVO+x3Bm48KFC9y7d48qVT6XODIxMSEkJASA+vVrYmxsjJGRIaNGDU4nKwWCtEMIuGzIp08RmJmZsnXrapyd+yOTyfD09OTw4cO0b98eQFeEtHBhu0y7zPYl9+49IjIyiubNm6e3KamCmZmZLqM0IaRSaaYWbwAzZ2qWwidP1ogwbZzZ0qWz6NevG3K5/Ksxfd26DebEiXOULl2aUaNGJduOqKgoRowYwYEDB3S18yQSaNWqCS4ui7GwsEjSfBUrluXZs5fs3LkThUJB2bJlefPmDRYWFt/sG5odMDIy0hNvKpWKCxcukDNnTkJCQnjy5AX+/u8oVsyesDBRVkSQ9RFLqNmMly9folQq6dSpNadOnQMgJiaGo0eP0rFjR11m17Vr1zA1NeH27fPpaG3KsnjxauBzja6siK2tLUqlUtczNrMzePB4SpasxdGjmhioy5f/5do1d2rVqkXhwoWJiopi8+bNFCtmT79+3QC+Kt5mzlzIiRPnqFWrFvfv30+2983T0xMbGxs2bNiASqWkffsWuLgswdf3Ljt2rE2yeANYuPB/mJqa0L17d/r06UP16tW5cuWKEG8JMHHiRDp37qzzwPn7v8PExIQXL7zp0mVglvW0CwRahIDLRqhUKnr37g3A48fP+fAhFICSJYuzdOks1Go1e/bsAaB69epERkaRK5cD1as3Jzw88yYxvH3rR/PmP3L06Bny5cuX7Pg3lUpF+fLldV7KjMj9+/cpVaoUBw8ex9GxUaYuQ/HgwRNcXQ8TGBhEz57DKFOmDu3a9UImk7F3714AXTLKL798W7D6+QWwcuV68ubNy5AhQ5g7d26SP+RVKhUzZ86kRo0aREVFsXr1Al6+9GDLllV06dIeExOTpN/of9jYWHPr1lmaN2+oi9fr379/sufL6gwdOlTvuZGRIcuXLwfAzMxUtCsTZHmEgMtGzJ49m8uXL5MvXx42bvyDli0bYWJiwsKF/9PVxbp79y4ACxcu1J334oU3Hz5k3iWJPXsOc/PmLZRKJQsWxI0NSywPHz7k/v37/PPPP4wfP16X8ZiRsLS0ZN8+TX00b+833LhxK50tSj6lS5egbdtmuuf+/u+oXr06t2/fpkCBAhw6dIhVq1Zha5uXLl2+Lao3b96FSqXm3bt39O3bl+nTp+sSdb6Fv78/NWrUwNjYmN9++w1TUxNOntxN9+4pW14nX7487N69jufPbyKVSlEqlbx+/VpvzJs3b2jRogVTpkzJ1AI9sYSEhHDgwAHKly+PgYEBEomE6tWr4+DgwIcPH/j999/p06cPjRo1ZujQoVhYmHP48N/pbbZAkOqITgzZiAIFCuDn58fz5zexts6pd+zaNXdat+7G7Nmz6dWrFz/99BPXrl3j0qV/KF++dPoYnEK0avUT//7rASSv6v7169cZNmwYjx49IjIyEqlUikqlQiKRcObMGRo3bsyVK1do1aoVcrmcuXPnMm7cuJS+jSShDX7PkcOC168zr4gDCAwMonz5+shkBvTo0YNPnz4RGhrKzZs3CQwM5MaNkzg4FPvmPAEBgfTq9TNWVjlo1qwhkyfPolixYnTt2hWZTEbPnj2xs7OLd/mzSpUq3Lp1i5Ili9G/f3cGDeqV6lX/jxw5Ra9eP2NnZ8fr169RqVSUKVOGZ8+e6caUKFGcp0+ffWWWzE+FChW4d+/ef4/LcPfuQ/Lnz4+vry+gqaPXvn17zp07h719Ia5ePZJg8kp6IToxZLz7zgoID1w2wcXFBT8/PwAuXIhb+PTlS823/CJFilC8eHGuXbsGwJs3vmlnZCrRvHkj3ePY1dsTS69evbh16xaRkZGYm5sxb940XFyWIJVKaNKkCZaWljRo0ICIiAgMDGRMnDgx3T0jtWvXBkhxD1F6kCdPbpYunYVcHs369evZuXMnx48fIzj4Pc2aNUiUeAONd+vUqT24um5g8OBelCxZjBcvXjBv3jxmz55N6dKlyZEjB6VKlcLX15fnz5+zcOFC8ufPz61bt2jYsA7Xr59kyJA+adKyqW3b5owePYi3b99SpUoVBg8erCfepFIpz549T/e/tdRmwIABgKaY+O7d6wDw8/Nj586dKJVKHBxKcO7cOWrVqoa7+6kMJ94EgtRCBAlkE7TLagCdOrWOc7xuXSdAUw9O670BePbsZeobl8qMHTsEf/8AXFz+5uXLl5QpUyZJ5+fI8bmDw6dPEUyePAupVErLlo0xNzfjwIGjxMTEkDdvbj59ikClUhESEoK1dfple1paWiKRwPz5cQs0Z0Z69HCmW7fOhId/wsLCPEUE1JUrR/nnn1MUK2ZPZGQUS5f+yadPEVy9ehM7OzvdOBMTE11ZkrRm5sxJ3L//mDNnLnL79m0kEgmFCxfEwsKMFi0as3Tpn1haWmJkZISFhQUHDx7Uy9TMCowaNYrJkyeze/dBLly4ott/9uxZoqKi8PcPIG/e3Bw7tjMdrRQI0h4h4LIJtra2ANSr5xTv8cKF7bC0zMHhw4e5ffs2/fv3599//+WHH9qmpZkpipvbJYoVK8yWLbtxcdHExBQtWjTJ89y8eZOnT59iYWFBjhw5mDZtGrt27eLYsTM4OVVBqYxBJpPx7l2Q7pycOXOm1G0kCwcHB06cOEHPnsPYtu3PdLUlpZBKpXrt0L4XAwMDvS8ze/asB8Dd3Yu5c//A3r4gVapUpEePH9K1Sbqr6wYCA4Pw9Q2gQoUyOltUKhVGRoasX78NmUzG27dvaNy4Me/evcuUrdESQiqV4uzszI4dO3j37j2GhoYoFAouX77M6tWrWbx4MQ8ePKBDh14cOLAlwza0z+go1DEokhFi8vU5s7Z3OL0Rf+lZGJVKhbOzM6amJrp2Qbly5Uxw/LhxQ/n48SMTJ07kxo0bGBkZkj9/vjSyNuXYunU3ZcrUwdm5Py1b/qS7BwcHh2RlCUqlUkqVKoWdnR2WlpasWLECT09P7OzsuH7dkwIFCvDq1SvUajWTJk1i7ty56f4hMnv2bAwMDLhxwytd7ciMVKvmyP79m1i27Hd69eqS7r9L0CwjV6pUTs8WqVTK5Mkjefr0Oo8eXWX27CmEhoZSpUoVIiIiAHQ/Mztbtmxh//79LFq0CIVCAcCjR4+YP38+9+/fp0mTJly8+C8VKtTn9eu36WytQJA2iCSGLMb48eN5+fIl+/fvp0GDBly8eJFChezIkcOcnDmtGD16MM2bN4z3XJVKRYECFTE0NMTMzIwPH4J59+5h2t7Ad+LqepjBg8fr7ZPJZMTExLBkyZJ0Ty5IS0qUKMHz58+RSiVUq1aZf/75O0t5ZgRxGTBgDPv3H6VMmTL4+/vz4cMHbGxsePPmzXeVOMlILFy4kJ07dxISEsKmTZto2LAhoCkps3jxYvLnz8eDB5fT18gvyAxJDO8e22OZI2W/rIR9VJG3lHeGvO+sQPp/tRSkGNr+pQcOHGDs2LFcunQJgDt3znPlylGOHt2RoHgDmDNnOdHR0QwaNIjo6GiMjY3TyPKU4/fflyKTyfj48SM3b96kYcOGlC5dmm3btqWreHv69GmcchCpjbbmn0ql5sYNT1q3ztz9TwXfZsOG5RQvXoSHDx8SFhaGrW1e3r9/z61bmTsTOTaTJk3i1q1bvHz5UifeABYtWkSXLl3w8wvg3r1H6WegQJBGJFvA3bt3jzx58lCjRg2cnZ1xcHCgfv36TJ48mR9//JEuXbowcOBAevTowaZNm1LSZkECrF69Wvd4+fLlqNXqJC3/bNiwHUtLS+7cuUNoaKhe8/PMwJEjp/DxeUvXrl2xsLCgWrVqnDt3jnv37tGjR490s+u3336jZMmS2NvbY25uTtOmTXWtl1KTadOm0aNHD9zc3GjevDkeHre5ds091a8rSF/OnNnH2LFDuXv3AjVqVAY04QPZAW2dx3Hj/pfOlgiSy+rVqylSpAgmJiY4OTlx48aNr453dXWldOnSmJiYUKFCBY4dO6Y7plAomDx5MhUqVMDc3JwCBQrQu3dvXQkaLZ6enjRr1oycOXNiY2PD4MGD9YrXb968GYlEEu/27t27lH0BkkCyl1Dd3d2pXr16ki9oaWlJ3rx5mThxIoMHi4bDKcnw4cP588/PAesSiQS1Ws3q1Qu4fPk6Xbq0o1GjunrnREREMGnSLO7efcidOw8YN24cK1asoGjRwty4cTKtbyHZvH8fzPDhkzl16jwfPnxI9yQCgNOnT9OpU0c+fYobh5QrVy7evHmTKiUPlEolzs7OnDhxgqpVqzJnzhzevn1Lz549mTt3Kv/+60GVKhXZsGEHw4b1YdiwfilugyBj4OZ2CWfn/lhYWLB+/Xq6du2a3ibFi6+vLzt37uT06dM8fPgQc3NzAgMDMTY2RiaTYWBgQO7cuXFycqJ48eKcO3eOx48fY21tjZ2dHT/88ANdu3YlJCQEW1tbjIwMM1T9Q7GEmrj73r17N71792bt2rU4OTmxfPlyXF1defz4MXnz5o0z/urVq9SvX5958+bRtm1bduzYwYIFC/D09KR8+fKEhobi7OzMoEGDqFSpEh8+fGD06NHExMTg7q75Muvr60v58uXp2rUrY8aMISwsjDFjxpA/f35dx5fIyEhCQ0P1rt23b1+ioqI4f/78979QyeS7YuAOHTrEtGnTdEUWY6Mtdvo1TE1NqVWrFuPHj6dly5YZIlg4MzNlyhTmz5+vy9L6ksqVK3D27H5AI3j27DnE0qVrCQrSeIMsLS1ZuXIlffr0YcSIAfz++y9pan9ycHO7xMSJM3V17CwsLPj48WM6W6Vh9uzZTJ+uX8ajTp0atGnTlKlT52Jra8s///xDtWrVUuR6KpWK5cuXM3/+PAIDg7C0zEFY2Ndfi549nZk5cyI3btzi7Vs/5s1bQefObVi0aEaK2CRIf9av38a0afOIjpZTsWJFDh8+jL29fXqbhVwu5+DBg/z22288ePBAt9/MzBSlUomVlRVKpRK1WkVMjIqIiEhiYmJ040xMTFAoFHr7tPzyyygmTx6ZJveRGISAS9x9Ozk5Ub16dVatWgVo3tMKFSrEyJEj+eWXuJ9HXbt25dOnTxw5ckS3r2bNmjg6OrJ27dp4r3Hz5k1q1KiBt7c3hQsXxsXFhenTp+Pn56fTIHfv3qVixYo8ffqUEiVKxJkjMDAQOzs7NmzYQK9evRL1WqQG31VGpEOHDnTo0IGQkBDu37/Py5cvqV69OqVLl9YTbxs3/kH//qPjnG9ubsrZs2c5e/YslpaWHDt2jDp16nyPSdmamzdvAmBsbPzfG5++Nre3L0h4eDg//TSEK1f03dI2NjYULVqUPn36YGRkyK+/jkkrs5PNrl0HGDZsEjKZDCcnJ16/fh2nP2J6MnXqVI4fP87Vq5rCyQcPbqFevZpIpVKCgj6wbNlaqlevTt68eYmKiqJ+/fr8888/yb5e69atOXnyJDKZTPcB9vKlN7t2HWThwlXxnrNt2162bdurt2/Tpp1CwGUhBg7sSffunRkwYAwnTpyjWLFi/PHHH4wYMSLFrnHs2DHc3Nxo06YNdnZ2zJs3D7VazfPnzwGoXLkyly5dIigoiBw5chAQEMCHDx905zduXI+BA3vQrFmDr/Ywffr0BS9fvqZGjSrkzKkRBFFRUSxcuJqXL70xNzejY8dWNG3aIMXuTfD9hIXpt2I0NjaOE2Mtl8vx8PBgypQpun1SqZSmTZvqCst/ybVr1+LENrdo0YKDBw8maEtoaCgSiUS3ShMdHY2RkZGeA8nU1BSAy5cvxyvgtm7dipmZGc7OzgleJy1IlSxULy8vihUrRp48eVAoFOTNm5uAgEAAnjy5RmBgMCtXrmPv3iP8/fdqrl/3YOXKDQDcuHEjyxWiTAucnZ25efMmr1+/xsjIiK1bt9K9e3fq1avH7du3CQkJATQlEgoWzM/Bg8exts5FzZpVOXbsjG4eKytLZs6cRN++GXOpJTalStUiNPQjb968IXfu3OltToJoWwGVK1eKy5c/f1N8/fotv/46h4sX/0WtVvPxYziOjo7cvHkzyY24BwwYwMaNG3FyqsKxYzvjeLP//tuVUaOmJni+lVUOzM3NmDp1DN26dRbe8CzKrVt36dSpD6GhH5k3b168Xo2kEBERQevWrblw4UK8x7VFwdVqNTKZDEvLHERFRWFpmYPy5UvTtGl9unRpj41N+hW9TgsygwfO+1GBVPHA2ZeO281nxowZzJw5U2+fr68vdnZ2XL16lVq1aun2T5o0iQsXLnD9+vU48xgZGbFlyxa6deum27dmzRp+++03AgIC4oyPioqiTp06lC5dmu3btwNw//59HB0dmTt3LqNHj+bTp08MGjSIffv2MXfuXD1BqaVs2bI0bNiQNWvWJPq1SA1SpZCvo6MjAB4eHnTt2pVXr15hbW1NcHAwAweOZfr08ezadVBjgIGMGTMm0qxZA9q06UHHjh3TPFsvoxMWFkZ4eDgFChSI9/iRI0d0nRbq1KnD33//TdGiRXXxLpUrV8bLywvQ/AFv2rSC2Hkldeu25f79x3Tt2oG1axen6r2kFGFhH3n3Log2bdpkaPG2cOFCXYiB9kuMlsKF7fj7789vAD16DOPYsTMsXrw4SR+sderU4erVq7om3vGJr169uvD3367cvKkfF1SrVjWOHNkuBFs2oXLlCty8eYpatVozZcoUZs2aRZcuXdiyZUuC56hUKq5evcqtW7cICwujcuXK2NracvjwYRYtWkRERAS1a1dn7txfOXnyHN7ePowaNYh8+fJiZmbyX8uvl5QsWVz8nWVTfHx89IRrelQ4UCgU/Pjjj6jVar1Y8XLlyrFlyxbGjRvHlClTkMlkjBo1inz58sX793rt2jUePnzI33//nZbmx0uqdmIoX7489+/fBzRvAi1atODMmTN06NBbN6ZhwzpMmTKHTZt2ANCmTZvUNClTog3eTKiPp7ZcBEC+fPn0ug0cOnRIJ96AOOn1KpWK+/cfA1CqVObJVNMmBsRuc5UUrly5wuLFizExMcHExAS5XI6xsTGjRo3SfQH5Xjw9PZk8eTLW1rlYvHgmHTq0/Or4mTMncuzYmSRlNW3atEm3RPvXX0u+Wuft1Kk9rF27GQ+POwQGvmfChGHUrVsz0dcSZA3y5MnNgweXmTp1LkeOnGLr1q14enrSq1cv+vfvr/tC5O3tzbhx4/jnn3/ijakFMDExZvXqBbqeu5UqlYt3XOnSmee9RZDyWFpaftPzmDt3bmQyWRzPWUBAgK6T0JfY2tomarxWvHl7e+tCtmLTvXt3unfvTkBAAObm5kgkEpYuXUqxYnH7LK9fvx5HR0eqVq361ftJC9KslZZUKuX06dM0adKEs2fP6vbnyaPpSymTyVi7di1DhgxJK5MyDdHR0XrPVSoVhw8fxsrKioMHDxIZGYmlpSW9e/fm0aNHuLm50aRJE3777bc4buovG3+vW/f5W8SQIekXjJlU8ufPR/78+di9ezfTpk2jXLn4PzjiY82aNfz888/xHtu8eTP79u2jU6dO322jp6cnADlymJM/f/zf5mJTvHgRpFIpFy9eTPQ1li1bliSbhg7tm6TxgqyJkZERixfPZOHC//HDD/25cOEqkydPZvLkychkMlQqlS6G1s4uP127dqRWraqYm5vj5XWXoKAP1KpVlcaN6wmvmiBFMDIyomrVqri5udGxY0dA81nn5uaWYLxmrVq1cHNzY8yYMbp9p0+f1luC1Yq3p0+fcu7cOWxsbBK0IV8+TdeejRs3YmJiQrNmzfSOh4eHs2fPHubNm5fMu0xZ0rwTg1KpJGdOK+RyOQqFEtBkDt6/f5/ChQt/19xZERcXF52oHTduHI8ePeLBgwe8evVKb9yXmadTp05l8eLFyOVy2rdvweHDmpIgHz481TsvICCQpUv/5Ndfx6Zon8m04MGDJ9St25ZSpUrx8KF+x4jXr19TpkwZlEolMpmMQYMGYWVlxd69e3n48CESiYSVK+fStWvH/3pKGvHo0VNq1WpNtWrVdAkh34PWqweQL18eHj26+s1zGjbsyO3b9xkwYADTp0/H3t6ebdu2MWXKFEJCQlAo5FhY5OD69esolUpKly5NqVIlePz4Gdu3r6V16ybfbbcg+6FSqTh27Az79x/F31/TS7VIkUL069ctQa+aIPFk9xi4pJQR6dOnD3/99Rc1atRg+fLl7Nmzh0ePHpEvXz569+6tS5IBTRmRBg0aMH/+fNq0acOuXbuYO3euroyIQqHA2dkZT09Pjhw5ohNoANbW1roVi1WrVlG7dm0sLCw4ffo0EydOZP78+YwaNUrPvg0bNjBixAj8/PwyRKmqdGmlNWnSJBYtWgRAr169dH06tWzfvp2BAwcCanLmzEWVKlWYM2cOuXPn5vfff6ds2bKMHh03qzWr8euvvzJ37twEjxcpUogGDWqzZctuQLOcERWl762bPXsKP//cn59/nkyuXFbMnp1wIHtmpHv3oRw/rvmG9scff+i8AdqSKl9iYGBAtWqVcHVdj4WFRZzj+fKVRS5XsHz58hT5G5NKpajVatzdT1G8eNFvjg8ICKRWrdZ8+BACaL7chIeHY2RkSMGCBTAzM+XevUf06NGD2rVr8/PPPzNp0ggWLlwlBJxAkEERAi7x971q1SoWLVqEv78/jo6OrFixAicnJwAaNmxIkSJF2Lx5s268q6sr06ZN49WrVzg4OLBw4UJat24NwKtXr/RCimJz7tw5XSeP3r17c/ToUcLDwyldujQTJkyItzxI7dq1KVq0qC4BIr1JFwGnyUKyRKFQ4OrqGicVd9iwYQnWcNFSoUIFzpw5E29xv6zA9u3b6dmzJ7a2eRkxYgBXrtygU6fWdOnSnuLFaxAc/IGuXTuwZs1C1qzZRM+eXXRp9XZ2FYmIiKRKlQq4ue1P5ztJXcLDw6lduw0+PppMp7/++ovBgweTP39+goKCsLLKwfv3HyhatDArVsyhdu0aX13yOXjwOP36ab519e3bN94uIoPd+/ApxojtTuviHHv48CEDBgxApVLh5eWlW/7u0qU9Li5LEn1fHh63+fPPzfz7rwe2tnnYu3cTOXNaolQqyZOnDCVLluTcuXMUKlQItVqNWq0WAk4gyKAIAZfx7jsrkKTfVpcuXciTJw8lS5akR48eeu2A7ty5Q8mSJSlWrBh2dnYYGxtjaGhIly5d4sxjYmLCixcvGDZsGJ07d9bt19Qo+4nQ0NBvVqi/e/cuHh4e8R4bPXo0xYsXp1+/fvj7+yflFjMEO3fupFevXpiZmXLmzF5+/rk/O3aspUuX9gBUrFgWgOLFiyKVShkxYoBOvMnlciIiIgFYsCDrt5OxsLBg8eLfdM/lcjlTp07F39+fLl3a8+zZDW7cOMnVq0epW7fmN+N1SpYsrnv84sWLOMdbXRzNpxgjIpRxkwXOnj1LjRo1uHbtGtevX8fAwEBXRsHV9TADB45N9H1VrVqJ9euXce/eRc6c2af7/RoYGFCxYlmePHnC9u3bOX36dJx6fwKBQJBUwtVKPqbwFq5WpvdtZWmS5IHTtmbSUqFCBcqWLUu+fPl48eKFXjVkLYaGhsybN4/Jkyczc+ZMpk2bluB1+vbt+9V0dtAEOmpjiyQSCS1btuTAgQNcu3YNZ2dnRowYwYoVK3TCTSKRMG3aNAYMGIBcLsfBwYGLFy9y8OBBli5d+q1bT1PCwsLo3bs3hw4dwszMlGvXjlO4sF2ccf/+68HIkVM4fXqv7oM9Nm/f+mFjkwsTE5O0MDvdadasCx4etzl9+jR//fUXrq6u2Nrm5fbtc1/NyvySiIgI7Owq6Z5LJBKkUik5cuSgRYsWzJgxg3GBGs9wpMKQ800+l1xRKpUYGRnp/X9cuHCIsmVL0rfvSM6fv8by5b/j7Nzuu+/3/ftgSpRwwsbGhqCgIIyNjZHL5cIDJxBkUDKDB+7+w7zkSGEP3MePKsqVeZch7zsrkCQBlxJ87XKHDx+mQ4cOGBgYMGBAd7p168yECTMZPXoQkZFRDB48Pt7zTEyMAYmuzEbXrl3Zu3dvvC1WmjRpwoULF3T9Infv3p3uWVSenp5MmjSJc+fOoVKpKFeuFAcObCZPnoxb3ywj0aXLAM6cuUilSpW4ffs2BgYyzp07SPnypZM818CBY7l69SZ58+bG2joXkZGRPH36gvfvNVXjK28bhnGez29E15pr4uxUKhUGBgY4OBRDLpfz6pVPqrXzmTfvDxYuXIVEIqFEiRI8fapJTBECTiDImAgBl/HuOyuQrN+WubkZv/wyily5Pos6rQiqX78WNjbWVKpUDlfX9chkny8hk8l0j728vJg1a5bevO3bt2fjxo3ExMSwfv12nJ37Y29fEFvbvIwb9z/Gjh1KhQplaNq0Pm3bfk7vjYqK1sXCSaVSdu/ezdSpU3XXMzAwoGBBTRFcNzc3lEqNW3fv3r20bdtWr6xJaqNUKtmwYQOdO3emRIkS5M6dW5c6Xbx4EXbvXsfly0eEeEsCy5fPxtzcnNu3b5MzpxWBgY+SJd4A1q9fxoMHlzl//iD792/i+PFdHDnyOWA14qV+Md4qxzQe5XPnzqFWq8md25pbt87i7n6KiRPjL1Wi5Vu9ghNi06adgObLkFa8CQQCgSB7kSwPnLm5GevXL6NgwQLUq/d5ScjCwhwfHy+9cxs37sytW3cBqFatGgcOHKBgwYJUr14dd3d3fv75Z1atWsWvv/7KihUrkEgk1KhRAzc3tzh2mJub8ebNbQDu3HlAgwYd9I5/WUpDJpPpvHANG9ahU6dWjB8/A6UyrmcuV65ctGrVCjMzMywsLBgzZkyKN3xev349I0eOiJMpamFhztWrxyhUKP5OC4JvExERwW+/LeannzpRuXKFFJvXzy+Apk1/wNc3gBwVC1Fmblekhp+/iETJZTyesovIey8wNDTE3f10vMveX/Lnn5uYOnUuU6eOYfToQUla6s2VS78o6oEDm+nUqa/wwAkEGRThgct4950VSPEl1EqVynH+/EHd82vX3GndupveGHt7e0qXLs3JkycpUqQIhw4dokaNGnEK1gIUKlQIHx8f3fNixQrj6FiBwMAgLl++gVqtpmXLRpw4cQ4TExOio6NRq9V06tSGy5evExgYhL29Pd7e3hgYyOjV60fq16+Fh8dtVq3S9F8tWrQwvr7+REfLddcxMDDg/fv3WFpaEhERwbVr13jw4AGvX7/GwcGBGjVqxKnYry06eOLECTw9PfH39ycwMJB27drRqlUrunbtipmZGVOnjqZPnx9Zs2Yz8+b9Qe7c1jx9GrfPmyB9CQwMokyZusTExNCtWzde9o1bpzD0vZqH3RcCGiE+btwwBg3qEW+JkthoM4UBGjSozcGDX4/9jE2HDr2wsLCgZMlilCtXmvLlS1OrVmsh4ASCDIoQcBnvvrMCyRJwrVs34dixzx4ya+tcREVF6T6QPD3PULSoxnv1/PlLqlVrDkDXrh0ICgrGze0SFSpU4NOnT7pMP21RPG3TdS1SqVS31GRoaIhKFUNMjOa5iYmJLu4t9jjQBKDnzm1NYOB7bG1tv5qNKpPJCAp6hEqlIiIighkzFrFx4w5KliyJj48PkZGR8Z5nbGxM+fLlkclkuLu7x7m+iYkxkZFRFCtWDKVSia+vL48fX8PaOqdu3Nu3fpibm8ebjCBIXwYPHo+r62FdqRvtcqkWhVKGXCkj+J8bBG0+qtv/v/9NYOzYr3cUyZ+/gu5vV9OFZFGyExy0BYiFgBMIMiZCwGW8+84KJOm3ValSWaZPH8f27Wvx9vZk586/AAgO/qATbwDr13+OGTpzRtMWyNTUhLVrF7N370Zat27K3bt3efHiBTKZlHbtmvPx48c44s3OLr9OFBkbG6FQKHTiDfR7g6pUKoyNjZgwYTigiQ8KDHyPoaEhhoaGunFVq1aNUzsuZ04rVCoV//7rTkBAIBs3avqyPnnyBIVCQfPmDZk5cyK7d6/j0KGtLFs2m2HD+mJtnZPbt2/j6emJSqWiWLHCTJs2jitXjhIc/ARzc00pFH9/f16/fk39+rX0xNvduw/46afBnDt3OSm/BkEq8vTpC/73vwX07v0zrq6HsbMroKtTqFDK+BRlRFi4CWHhJkRGGSKPNMSiaR3st86mTBlNW7g5c5axf3/cjOzYLFjwWQzGxMQwaNA4NmzYkXo3JhAIBIIsRZJ6oR4+vA1Lyxx4eNxm/fpt/PPPqXjH+fp+9na1bt2MU6cu4OLyueTCsGF9OHbsDABVqlRi69bVREREULRoNeRyBYUK2TFx4s9UqlSOJk1+QKlU6i1vWlnlYMiQPixcuErvutHRchYvXoOdXX7MzU158uQFCoWCvHnz4uPjQ+nSDnh4eFC2bFm9huFyuZyhQyfi6noYJ6cqenNOmTKKMWOG6JI0nj59QUhIKH/+uZkbN07G6S0am6AgTZ28iAhN4/V8+fKgVqt59OgZ3t4+lCnjwODBvRk7djrFitmLljXpTHh4OE5OLXWZ0hYWFnh5aWIuKxyegVwpQx5pGO+5EqmUyF97cblIfZo2bcKAAWNZtuwvTp92jbecS+/eXZk6dS4GBoa0adOGHTt2UKRIodS7OYFAIPgKkSoJMpUkxecUpB7J8pd26tSXXbsO8umTRphcu3aMZ88+x3C1afM5Q7RQoQLs27cRGxtr3b66dWtiZaVxp7q7e/H06QvMzMx0yQU+Pm85ePAYFSuW5fjxnZ+NlWr+GEJDP/Lvv/EX8QXNsuTz594AODk5UaRIEQDmzZuGrW1eHjx4oDe+V68uPHv2EoDr1z31jh05chobm1I0a9aFvn1HUqNGC6ZN05SOMDCQ8erVa/btO8LZs5e4ffs+wcEfdOfWrl1dby5LSwvmzFlGu3Y92LXrAEFBwfTq1YXZs39hyZI1Cd6PIOW4cOEqP/44kAoVGjB58ixdRjJoluFNTT+LrVOnTpE7tyYbWK6UEaP89r9LnTp1CAwMokOHDty794iWLX/SHVOpVJw7d5l8+coydux0pFIpJiYmun6ppUuXSKnbFAgEAkEWJ0kxcN7enlha5uD27fusWLGOQoUKMGRIH/Lnz0dISBjVqjUjVy4rLlw4+M1OCjt27OfnnycDkCOHBa9f38LN7RL79h1h505N+ycjI0OKFy/Cw4eaUgnFitnz4oV3km7Q0dGR2rVrs2bNGmxscuHmto9cuXLSrdsQrl7Vb1gulUqxtbXl3bt3eh/s8TFr1mRGjhzI5cvXWblyPR8+hPDhQygDBnRn6NC+NG7cGalUyv37j7G0tMDCwpxz5w4wdOhEOnRoRdeu+hm0CoUChUKJgYEsSRmJgq9z+fK/7Nx5gJMnz+lqucHn+Mnq1Stz6tQeAI4fd2Pw4PGEh3+if//+bNiwQTe+6PZ5CV5DHSNFIlPpHhMp49WQCXTp0oW9e/dSokRRVKoYXrx4rTvH1NSEpk3r63mxmzatj6vrhjjzfwsRAycQZGwyQwyc+/18WKRwDFz4RxXVygVkyPvOCiRLwKUUscshbNq0go4dWwGaD9L+/UfrldvIkyc3Hz9+JCoqmho1qvD+fTC2tnm5d+8hoaEfNTcTq1OERCKhUKECvH79lvz581OqVCnOnz+vm69MGQeqVKnI9u37gM8dHkATVF6zZlWuXLkRx2Zr65x06dKeuXN//WoB4Hv3HrFx4w6KFbPH3/8d1665c+rUHkJCQjE2NsbCwjzOORMmzEStVrNkyW/xzChIKkqlknz5yqJSqTExMaFevXrkzZuXVatWkTNnTiQSiS5reuHCVcybvwJZzhzkGdUdEwdNxunLHlOAbws43WOFBGmkjJcjNEWnnZ2d2b9/f6LaXeXLl4dHj64m+T6FgBMIMjZCwGW8+84KpKuA+/33pSxd+qfevtOnXalWzRHQLHctWrSaK1duUL9+TcaPH465uRlVq1bi1q27nDhxlpEjB+LvH8jTp89p1aoJXbsOIiQkjN2715EzpyUTJ/7Gxo07El00VSKR0Lv3jyxdOgt399u0bNlV9+E7ffo4PnwIpUqVinTq1DrR96lQKChbti4FCxbg3LkDCY57/z6YRo06M378MPr06Zro+QVxcXU9zIULV9m+fR/Tpk3j999/jzPGxMQYOztbGjSow+bNOzEu70DesT2RGsUf5/Yl6hgpaoUEiVKKRPE51kMSo3n8YvQ4vfFXrlzh6NGjPHv2jCdPnqBUKunWrRs1a9akU6dOREZG8NNPnViy5LckeWGFgBMIMjZCwGW8+84KpKuAU6lU2NiUirPf1XU9TZs20I0ZO3Y6U6eOQaVScf78FWxsrKlXrybt2vXAw+MOAJcvH2Hjxh2MHDmAIkU+1+vq02cEhw+fTLJttrZ52bjxD1xctnLw4HEA2rdvQbNmDVi3bhvHj+/CzMw00fN5e/ugUCgpUaLoV8fdvfuQdu16cuzYTsqWLZlkuwUaYnt3LS0tWbJkCQMHDtTte/36tV6h5vz5bTGYOQiZeeJ+p1rxJo2U6QTbl3wp4L6GjY0NwcGapJc7dy4kqaizEHACQcZGCLiMd99ZgXRtAiqVSnWlNgDq1asJQJcumg/ax4+f8fz5K/74Yw7r1v1NzZqtOHjwONHR0ZiamnDmzD5OnNiNj48X5cqV4sqV6wwePIFduw7w8WM4AGXLltJr4QWQP38+8ubVb1WVK1dO7O0L6p77+7+jdetuhId/IjDwIR8+PGXLllX89FMn3r0LYurUOUm6V3v7Qt8UbwAVKpTh2LGdIqD9O5g9e5ne87CwMAYNGoSvr69uX4ECBbC1tcXc3BxXV1d8ff14PXjWl1MliDbmLaXYtm2b7rGNTc4UnVsgEAgEWY/07eIOnDixm1Wr5vHhw1MOH/4bB4diSKVSnJ3706yZM1ev3kShUODr64+b2z52715Hu3YtdOc7OVXRxZOdPLmHli0bs3//USIiIrl79yEPHz5hyZLfaNiwNgAFCxbgzp3zPH58TdcvU5MccRMvr3PcuHGSUqVKYGysWcI6c+YiefKUYdasJYCmQ8OCBdMZMWJAqr0mZcuW5O1bf3r2HE5kZNS3TxDoaN78xwQzeu3s7KhZsyYhISEYGBjg5+dHeHi4rs5bUpEopQl63wCK/bE00XO1atWKzZs3A9C6dXfCw8OTZZNAIBAIsgfpLuDKly9Njx6fP0Bv3DjJqVN7yJnTis2bV9KnT1cMDQ1Zs2bhNz1YVlaWjBs3lD171pMvXx7y589LnTpOnDx5Dk/PO4wYMYC7dy9w7twVHj16ytGjmsKpsTNbHRyK8e+/x/H1vasX57Zs2Vr8/AIATeHfmzdvpeTLEIcCBfKhUCgYO3Z6ogLgBRrevNF42WxsbHT7tGIc4Pr16zRo0CDB87VJC98iduJCStGrVy/q1avH7dv3KVGiJrt2JRwvKRAIBClJmNooVTZB6pGuMXBpiUqlIipKs/Taq9fPXL58nXr1nIiMjKJEiaLUqFGFM2cuIJcraNu2Oe3bt+Djx08cPHiM8eNnEBMTw7Rp4xg/fhitWnWjVy9nunf/IVVtDg39SLNmzvTt+xPDh/dL1WtlFQ4fPsmgQWMxNjZGpVLxyy+jGDq0D3nylNEbZ2RkhFqtxtzcjJUrV9GzZ0+94wllncZOXJBGJU3ESRTwfMK34+J2795Nv379iIyMpHLlCri6rtero/glIgZOIMjYZIYYuLP3CqVKDFzj8j4Z8r6zAunugUsrpFIpZmamSCQStm1bw7lz+2nUqC79+nVj/vzpfPoUQfnyZahe3ZFVq9YTHS3n4sWrbNmyGxMTY1q2bEzfvl0JDv6Al9ddvWXc1MLKKgfbt//51Q9vgT7t27cgIOABr1/f4s2b24wYMYALF67FGWdnZ0vFimWIioqmV69euLm56R3/mifuy6zTxCBRgFQpofRMTXxe2V+XUfbXz49j07VrV4KCgmjZsiW3bt2ldOk6TJ8+P9GZ1AKBQCDI+mQbD9z38PTpC5ydB3D79jlWr97IlSs32LFjbZracOzYGcqUcaBoUftvDxboERERQZcuA/H3f4etbV7Kly/NggX/AyAgIJBy5eqRM2dO3r1799XafvYbFurE29di375EK95kUSBV6B97MGesTsA9mDM2zrnHjx+nd+/eBAUFAZoYzAkThjN58kjdGOGBEwgyNsIDl/HuOysgBFwiUSqVGBgYIJfLkUqlGBgkqY3sd7N06Vr27v2HU6f2xFsEWJB8Zs9expIla6hWrRpubm4JvtEUXbUkScINPos3qQJkScxH0Qo6lUpFgwYNuHz5MqApNP3u3QOd2BQCTiDI2AgBl/HuOyuQbZZQvxetYDMyMkpz8QYwduwQSpcuwfDhk8RSWgozbdpYWrduiru7O9bW1vTp04eIiIg445Ir3mRRSRdvWsr+uozy0//g0qVLdO7cGYCYmBhsbErh6no4eZMKBAKBINMjBFwmQSKRsHLlPMLDP+Hj8za9zclybN/+J66u67G1zcvWrVvJmTMnw4cPJyrq+8q4SBVxl00TS+zYuLK/LmPfvn2sXLlSt2/w4PHfZZtAIBAIMi9CwGUizM3N2L9/M4ULF+TlS+9vnyBIEk2bNuDevYts3PgHOXNa8eeff2Jqaoq1tTXLly9P8nxSpQRJTMrZV/bXZYwYMYKYmM+TtmzZlZCQsJS7iEAgEAgyBULAZUIeP35G48Y/8OjR0/Q2JUvSqVNrnjy5xoYNy2jWrAFyeTRjx47l5ZjxvJkzH3U6L2FLpVLevn1LlSpVuH7dk9atuwGgVouldYFAkDwiVYZEqIxSdItUJa6vtCB5CAGXCSld2oEpU0bRo8cwQkJC09ucLEvnzm3Zs2c9L17c1BWRVgQG8vwbPU4lCpBFSr5r+fRbFChQAA8PD2bOnImpqaZ/65gx01Aqlalzwf9QqVScOHEWV9fDXL16I95YQYFAIBCkPkLAZVIGDepFrVrVdC2+BKmHkZERrVppsjsPHjz41VIjWpKTdfot4iszMmPGDD59+sTQoUMJCgqmZcufUvaisVCpVDRv3oVu3YYwePB42rTpgYNDzVS7nkAgEAgSRgi4TIpEImHJkt+YMWOiyEpNA7SlWwoUKJDgGIlCsxlEpmzsW2L4888/6dChAx4etylWrDre3j4pfo127Xri4XGHVq1asW3bNlq3bk1ERCRXr95I8WsJBAKB4OsIAZeJMTY2xsoqB4MHjxclJVIZExNjAO7du6e3XyvatCVDDCLjL9ibEnzZseFL9u/fT9++ffnwIYR69dozd+5yAgICU+z6N2/eokSJEhw7dowePXowZMgQADw976bYNQQCgUCQONK+oJkgxRk6tA/OzgMoWbI4lSqVS29zsgwBAYEMGTKea9fckcs1iszLy0t3XCvaVAaaWthSBanueftSxH3ZyWHTpk0UKFCAJUuWsGjRahYtWs1PP3Vk9eoFiVr6/RpGRkZ6MXZ169bFwMCAmTMXUbBgATp2bPVd8wsEAoEg8QgPXBagWjVH5syZQo8ewwgKep/e5mR6wsPDadeuJ2XK1OHChWsULFiIoUOH4urqyrJlGrEUu8OCQaREt2yaWkkLCRGfV27OnDlERERw6tQpHBwc2LXrIHnylKFZsy7flXRQsmRxXr9+rXtubW3N1atXMTQ0pF+/Ufz88+Rkzx0fu3cfwsHBib//dk3ReQUCgSArIARcFqFHD2fmzp2KlZVoV/K9NGzYicuXr1OxYkUuX77M8+fP+fPPP3F2dkYqleIwf5lehwXtltbi7UvK/rpMJ+ikUinNmjXjyZMnrFmzhkqVKuHu7kXp0nWSHR9XtmxJVCoVYWGf685Vr16dt2/fYmJiwqlT51PiNgA4d+4yQ4dOICgomJMnz6bYvAKBQJBVEEuoWYj27Vvy8qU3+/YdZcKE4eltTqbk779def78Fb1792bLli1xjhdfvBQpqVsiJKUZNmwYw4YN46+//mLYsGHUqNGSQoUK8P59MMbGxjg4FKNSpbLUr18bL697ODgUo1On1nHmqV27Btu37yNPnjx4e3vzxx9/sGPHDn788UdMTU0xNjZOEXu3bdvLyJFTAOjR4wdWrZqfIvMKBIKE+agyIUYlS9E5I1RpnM2VzRDN7LMY798H07jxD4wdO4S+fVOvpERWxdGxEb6+AYSHh2NkZBTneKnf/1tCTYfl0u/lwZyxHDp0iH79+hEVFYmNTW4iIyMJDg7my7eBIUN6M3fur3pxcwEBgZQuXRuJRMKTJ08oWbKk7jyZTEaOHBZcvHiYHj2Gcu/eI/Lnz8eIEf0ZMqRPkuLvrK0181pZWfLqlUfK3LxAkI5khmb2u7zKYpYjhQXcxxh+cnyQIe87KyCWULMYNjbWbNu2hpkzF3Htmnt6m5OpUKlUeHu/oWLFivGKN4i1ZBoJktStmZsqdOjQgeDgYCIiIvHx8SEoKAi5XM6zZ8/o0qULNjY22NjY8NdfW8mTpwz167fn3381Ikob43b06FGGDRuGWq1m1ap5dO3agZiYGEJCQqlYsQF37z6kTJkyBAUFM3XqXEqWrMmyZX8lKv4uKipKJwptbHKl3gshEAgEmRwh4LIgFSqUYfny2Tx+/Cy9TclU3L59H4BixYolavyXHjiJMmOLOm2MXOxYOQADAwOKFy/Onj17CAoK4t27d6xYsYKKFSty794jWrX6iSJVf8DN7RJWVla0atWKokU1nSmmTJlDhw6tyJ8/HwCFCxfmxo0bmNQZSLne85g4cSKhoR+ZNWsxBQs6Ur16c54/f5mgjVeu3NQ9Fj1eBQKBIGGEgMuidOzYir59f8Ld3YvIyBRuCZBFKV68CIBes/jYaEWPRKkRb9IYjSdOu2mJLeIyuqCLD6lUysiRI7l16xa+vr7YNuiAPPwDAPnz5wfAxcWFJUuWEBUVTffuQ/HzC8Dc3Jz79+8zdN1lQFNseuHChURHR1O60zjyVmrC8+evaN26O1u37sbHx1fvupcv/0uvXp9jN+vWrZEaty0QCDIwq1evpkiRIpiYmODk5MSNG18vFO7q6krp0qUxMTGhQoUKHDt2THdMoVAwefJkKlSogLm5OQUKFKB37974+n5+7zl//jwSiSTe7ebNz18o9+zZg6OjI2ZmZtjb27No0aKUv/kkIpIYsjh//OGCmZkZa9cuQiKRpLc5GRpLyxwYGhry8mX8HiKtGJMqwCAKpEpQGYC2X7M0lu5TyT7vlyhBnUn/05os24m1UwPyVmoAHz4hNTSm6uBleLiMZdy4cfTv358JEyYQFhbG+vXrsbCwiDNH9aF/YJa7IGa5C9KtYXmWL1/O6NHTAE2HC0tLC9Rq8PML0DuvU6c2aXKPAoEgY7B7927GjRvH2rVrcXJyYvny5bRo0YLHjx+TN2/eOOOvXr1Kt27dmDdvHm3btmXHjh107NgRT09PypcvT0REBJ6enkyfPp1KlSrx4cMHRo8eTfv27XF314QY1a5dGz8/P715p0+fjpubG9WqVQPg+PHj9OjRg5UrV9K8eXMePnzIoEGDMDU1ZcSIEan/wiSASGLI4oSGfqRZM2d69/6RESMGpLc5GRqVSkWePGWoXbs2ly5d0jtWdfAylJqe8RrvWyzPmuo/cfblPqVJrOeGqSfitMV8Yxf1/d75IK7H0Sg8/vEeLp97tFYd/PXre7iM5fr16zx9+pQ///wTf39/Pnz4QExMDFZWVvj4+CCRSFCr1fj53cXExOSr8wkEmQGRxJC4+3ZycqJ69eqsWrUK0LwnFypUiJEjR/LLL7/EGd+1a1c+ffrEkSNHdPtq1qyJo6Mja9eujfcaN2/epEaNGnh7e1O4cOE4xxUKBXZ2dowcOZLp06cD0L17dxQKBa6un2tSrly5koULF/L69et0c46IJdQsjpVVDrZv/xMXl7/58CEkvc3J0Fy69C8qlYomTZrEe1xbOkT6xbKoVBn/PoMo/S21l1bv3LlDXysFvkd3EfXO99snJJLECs9viTftmOEbrtKzZ0+uXLnC8+fPCQ4OJjQ0lFu3btGvXz+aNWsGwMiRU7/HbIFAkEEICwvT26Kjo+OMkcvleHh40LRpU90+qVRK06ZNuXbtWrzzXrt2TW88QIsWLRIcDxAaGopEIiFnzpzxHj98+DDv37+nX79+un3R0dFxvkyampry5s0bvL29E7xWapNJF3YEScHBoRg3b57E2NiYT58iMDc3S2+TMiQ7d+4HoH///vEejy3SpAo1KsOvf+v6UtQZoFla1RLzHf99itAPFH92gwsXLmC4cBIFCxak0txxuuMyY1NMmnZI1txJ9eIlRrglBhsbGzZu3EhERAROTk7s3fsPvr7+HD26I0XmFwgECROhMtZ/g0qROTVxJYUKFdLbP2PGDGbOnKm3LygoiJiYGPLly6e3P1++fDx69Cje+f39/eMd7+/vH+/4qKgoJk+eTLdu3RL0CG7YsIEWLVpQsGBB3b4WLVowduxY+vbtS6NGjXj27BlLliwBwM/PjyJFisQ7V2ojBFw2wdjYmAsXrvLLL7M5dWoPOXLEjVXKzrx+/Zbduw9hYmISr1tdqviv32nsZVLDxM+v9dJpl1tVhqD6b66kLK2G3LlJ4MUTKMM+8AwoVMiO8PBwXr16hb19IWbP/oUJE2by0S953Ra+hsogrihNDrGXXOPDzMyMu3fvUrlyZa5evUlAQCD58uX5/gsLBIJ0wcfHR08wpVTR76SgUCj48ccfUavV/Pnnn/GOefPmDSdPnmTPnj16+wcNGsTz589p27YtCoUCS0tLRo8ezcyZM7+7x/T3IJZQsxH169eiTJmSDB8+CZVKld7mZBhev35LpUoNAciVq0K8Ywwj1BiHqTCM0GwyuRqDSLVO2CUWrZAziPwvESIJxYAj377C78guTAsUxu6Hvty+fZ47d85z7NhOAObO/RVb27wEBARiYlvwG7NlfF6+fPlfgWDz9DZFIBB8B5aWlnpbfAIud+7cyGQyAgL0k5kCAgKwtbWNd15bW9tEjdeKN29vb06fPp2g923Tpk3Y2NjQvn17vf0SiYQFCxYQHh6Ot7c3/v7+1KihyZJPbNmp1EAIuGyERCJh5cq5vHrlw5o1m9LbnAzBkSOnqFr1c8xb/gLVaFp/ju55w5YLaNhyAQaRKqQKtW4ziNQIue/xSBlEfi5FkpiYOMXHMECNqZ09OUpWoHBhO73jd+8+pGXLn5BKpeSu2yz5hsWDyvC/LY189nPmzCE0NJThw/thZiaW/AWCrI6RkRFVq1bFzc1Nt0+lUuHm5katWrXiPadWrVp64wFOnz6tN14r3p4+fcqZM2ewsbGJdy61Ws2mTZvo3bs3hobxL6/IZDLs7OwwMjJi586d1KpVizx50m91QCyhZjPMzc3YseMvjIySsP6XxThz5gKDB0/g998n88svs5FKZZw5cxI/Pz82u3ijMpTRuMl8zrp9znqSyjUeS5WRNNZzKTK5xgOnKSeS9Ewkg0hQmiZuOTZHyfJYOzXkndthJBIptRdJuDqxne74/Pl/YGBgQNGhU5GZprzXSmkCUtnnEiqpha+vL9OnT8faOif/+9/41LuQQCDIUIwbN44+ffpQrVo1atSowfLly/n06ZMuoaB3797Y2dkxb948AEaPHk2DBg1YsmQJbdq0YdeuXbi7u+Pi4gJoxJuzszOenp4cOXKEmJgYXXyctbW1Xseds2fP8vLlSwYOHBjHrqCgIPbu3UvDhg2Jiopi06ZNuLq6cuHChdR+Sb6KEHDZkEKFCqBWqxkx4hd+/nkAZco4pLdJacrRo2f48CGEESM0DdOHDRumyzz9e9kMMDdCZSijYcsFunO0SQtaIQcaEWcASJUSoi2liUpsiA+D/4oAa2vHJRQTJ5FKydekPWpVDAFnDvL+xgXyb1qGPOCt5rhEQuH+4zG0SvkWVFqbVADfWRdam/SQUCyci4sLarWa9euXYWAg3qIEguxC165dCQwM5H//+x/+/v44Ojpy4sQJXaLC69ev9WLOateuzY4dO5g2bRpTp07FwcGBgwcPUr58eQDevn3L4cOHAXB0dNS71rlz52jYsKHu+YYNG6hduzalS5eO17YtW7YwYcIE1Go1tWrV4vz587pl1PRC1IHLxri4/M3atZtxc9tHrlw509ucNKNSpYa8fv1W91xbo6hlxWmoDTVZWDH/iTgAqSIGqUKFylCK0iyuoFAZSVEZSlCYSZPtiQONJ05bO+5riQ1qtZpPLx4R/vwRitBgDMxz0KZccdztKiI1SF3Pqiwy5TxwCQm41q1bc/z4cd6/f5yuAcICQUqRGerAbfSsnCp14PpXuZUh7zsrIL7eZmMGDerJ3bsPGDhwLLt3r8s23o7w8E+6xyVKlNCJNwCJQpP2LvskR2qkeT0kciUSRQyS/wTdlyIu9nKqykCSIp64r5UYkUgkWBQvg0XxMrp9nqR+QKtEqYnZS43l06CgIEaNGsUvv/yia2WmUqmEgBMI0ohwtTExKRzkGqnOwL0EswDi3TEbI5FIWLx4JjVqVEGhyD7/aK1bN0Uq1Qisbdu2xTtGoojRCDe5Um+f7JMcg4i4r5VUrvovsSFpWalfok1skCgzVh9ViTLpWbPfInb9uHXr1rFz506aNm1K586dAVi9emPKXUwgEAiyGELAZXOMjY2ZPHkkwcEfOHXqfHqbk6r4+QVQunRttm3bi0qlxt7eHicnpwTHSxQxui32PqlCleTyIUkhvhIj6SnmtOLNIDJlvW+xl1CdnZ0xMjKiZcuWDBo0CBMTE+bPX0l4eAL9uwQCgSCbIwScAAB//3cMHjweL6976W1KqvDnn5soW7YuAQGBODg4UK5cOY4fP56suSRyJdJYoi41iF1iRBapEXNar1xStuSiPTc1PG/x4eDgQHR0NFu3bkUqlbJx40aioqJo3bp76l5YIBAIMilCwAkAqFq1EvPm/UqPHsN49y4ovc1JUeRyOTNmLMLCwoI6DkMoZvIjBaUdKVNGE0OmjX9LLJIExJtUrkKqVGuK9aaAh07ridNuul6sSdi+JeLiE32yyM/HUsPzlhi6detGly5duHv3IR079haFpwUCgeALhIAT6OjWrTMdOrTk5Mlz6W3Kd/HHHy6UKlWLrVt3A7B27RYUCgWLFy/m8pO1unEtK05LsnhTG8pQmRvrMlS/RKpQYxiRcmJD27lBqtQXcwZRGg9dfD/19ik+e/G0BYO1P2OLO62HTarQnGf0UbOlpuet6uBlX+2jumfPHho0aMCFC9coXrw6Bw4cSz1jBAKBIJMhyogI9FCr1UgkEt688aNgwfzpbU6ikMvluLt78fr1W9q3b0HhwpWJiVFhYWGOj48XzZv/iIfHbRQKBa0d//dd11IbylDkNE0wy1RbUiTaUprsciIpzdcSy74sICxVpL23Db7eH3XevHnMmDEDhUJBgQL5mDp1DD16OKehdQLB95EZyois8KiJqUUKZ6GGKxlV9d8Med9ZAeGBE+ghkUhQqVR06TKATZt2prc5ANy584A2bbpjbV2SsmXrMmbMNJTKzyqjY8c+tGnTg2HDJlG1ajNiYjQesCZN6vHgwRP8/d9hZmb23eINQG309Te42IV+MwqxvXhfbgaR+lt6iDctWo/cl165KVOmEBISQu/evXn37j0jRkwhVy4HChSoQP/+o9mwYQdubpf4918PsdQqEAiyDcIDJ4iXe/ce0bZtD3bu/Itataqlmx0BAYFUrNgAuVx/La9z5zYsW/Y7P/44kOvXPbGxsSEqKopPnz7FO0+xYsVwMO+W5Ourv1gqVRsZoDQz/KoHTmkqRWEmyTAeuMxIQh45uVzOzJkz8fDw4NYtTwID9eM1TUxMcHKqzJAhfWjVqkm8cwgEaU1m8MDNv9kAkxT2wEWFK/ml+oUMed9ZgexRuVWQZMqXL82KFXMYPHg87u6nMDY2TtPrBweHUKlSQ13R3R07dhAUFEThwoXp2LEj+/cfZf/+owA4OTlx9uxZVCoVM2bMIE+ePBxY9whlTCT+YY/w/XCHoUOH4vZ3aLJsie11UxkKp3V6YmRkxNy5c3XPg4ODOXv2LH5+fvj4+LB9+3YuXLjGhQvX6NKlPS4uS9LRWoFAIEg9hAdO8FV8ff0pUMBWFxuXWvj5BXD58nWcnKpy6dI1Fi1ajbf3G+rVq0fv3r31GgzXrVuXu3fvUq1aNbp27crAgQPjVOzXJieo1WoWbe9KxYoVk5ywABoPnNbrpuVrnjXhgUtZDCLVXP97XJLOCQ8Pp3z58nh7e3Pp0j+ULx9/b0OBIK0QHriMd99ZAeGBE3yVAgVsOXz4BMePn2XNmgUpJuJUKhW//76EHTv2ExISGmeJFDSlJHbs2BFnv0VYQ2rZN+SE2+x4544t1CQSCZN67gH2JN9Ww4yTkJAdqfvDYqQKNRcPT0zUeAsLCxQKzd/ThAkzOHFid2qaJxAIBOmCEHCCb9KwYR3mzFnGmjWb+Pnn/t8939u3frRv34sXL7wxNzcjZ85cREREUKZMGRwdHXFwcKBfv37kzp07zrmxxVnsxyfuzE6Why2lkcpVGAAxRjIgeT1RBZ9RmkpQGUgxjFAnScjJZJrYxXnz0v9vQiAQCFIDIeAE38TSMgfbt6+lefMfKVPGgcaN6yXp/AcPnvDrr3N588aXyMgo3r71A2DAgAGsX78+RWxMDfGmNpQRY26UYM23r2EYoUJhJkWIuJQhxujza1i//aJvijgzMzOMjY2oXLlCapsmEAgE6YIQcIJEUaJEUbZsWZnk2nCrVm1g+vT5gKbvqlqtpnbt2ixduvSrfUghY3jYVIayJAswTSkRqU7EfVlrTZB0NLXsJEiVn0N267dfpHv8paD74YcfmDt3Lj17DqNOnRr4+b1jwoThIoZXIBBkGUQSgyBJaDoarGHEiAHkyGHx1bFPn76gbt22qNXw8OFDihcvrnc8PkF24s7sBI+lNd8q2psYlOYyjYiL9VVJeOSSh1ShaVMmk6v1hJy2bVlsEadSqShcuBBv3/rq9i1aNIOBA3umncECwX+IJIaMd99ZAVETQZAkDAwMePbsJcOGTfpq0VQ/vwDateuJQqGkRpF+/NxpU6LmzwjCLSXRttbSFsjV9kmNvWnHCb6OylCC0lSCwkyCwkz6nzDWZPt+KYqlUimLFi3WPR8ypLcQbwLBVwiPMSY8xiSFt7QtP5XdEEuogiQhkUhYuXIeLVt2ZfbspVy9ehMLC3OCgoLx9n5DwYL5yZHDgmvX3AEYO3YsD86YARpxpvWwfY2MJOKkihhUhsn/N4m9nKoy0CwBqgw0IuTzNeIXccJTlzBKU8l/r5fmNYodI6elVatWODo64uXlFW+Ws0AgEGRmhIATJBkDAxn29gVZvtwF7Qq8TCbD2tqaR4+eoVKpsLGxYc6cOQwZMiTBzNHMgFShQqr4vkQErYiTKtRI5SpURlIScn7HFnaC+NH+LjSet4R7vebMmZNbt25haGjIoUMnWLjwfxgYiLc8gUCQNRBLqIIk4ePjS40aLThy5DQFCxZk165dqNVqlEol7969Q6FQ0KzcFKoVGMqB1T7pbe53IVHEIJErkSpivnuJUypX6fVJNYhUxdmkSjWGEZo4L8MINQaRcZdaBXFRGUq4uSlusd89e/ZgZWUFQHDwBypXFq21BAJB1kF8HRXoUCqVrF+/jdOnL/Lo0VMiIiKJiYlBoVBiZZWD6Gg5ISGadlQjR45kxYoV35wzs3ncvkSiiEH2SQ7mRt+1lBqbLxveazxyn2PjDCL/G6eUoDKIvUSoEXFiaTVxTJo0ibCwMF3xae3frkAgEGQFhIATADBw4Bj++eeULlbIysoKCwsLDA0NMTU15fnz58jlcnLlysXJkyepXr06kPi4tsyOVJFwwsZ3zy1PaO7PDnKpUh0nm1XwdaKjo8mVKyc3b57k5MnztGzZOL1NEggEghRDLKFmU1QqFU+fvmDz5t3UrNmKffuOkjt3HpYsWUJ0dDQhISG8efOGly9f8uDBA/r313RgGDJkiJ540/7M7J62ryFRxKTbtXVeuU8xumzW+LJYsztVBy+j6uBlevuqVavGhw8hPH78jO7dO2NtnTN9jBMIBIJUQNSBy6aULFmLwMAg3fNKlSrh6ekZpym8lqws0BLDl10Z0mMZU2Wk6cmqMpDoZV0qTcWS6pd4uIzF39+fggULkiOHBQ8fXsbExCTOuHv3HuHj85YmTephZGSUDpYKsgOZoQ7ctH+bY2KRslXHo8IVzK55KkPed1ZAeOCyKSVLFtN7fvv2bXx9fRMYLdDGwmkSGmIwiFCmufdLKldh8CkGqVKNTP55+9IjJ7xyGmxtbZk3bx4hIaE4ObUkODgE0MR6Tp48i1y5HKhXrx3duw8lf/4KDBoUNxFCIMguRMYYEZHCW2SM+FKUmggBl005cmQ7AQH3WbFiLmZmpgCMGjUqna3K2GhFnHaTptPSqibR4XP2qjZzVRCXiRMnMmLECF6/fku5cvXo1KkvefKUwcXlb71xKpWKAweOpZOVAoFAkHSEgMvGGBkZ0atXFy5ePATAiRMn0tmijI9EEaPbZJ/kGESkvXLSliTRbhoR9198nFK/20N2xMNlrN7zlStXsnv3blQqFefPX0nwvAEDuqe2aQKBQJBiCAGXTbhw4SpNmzrz+PGzOMc2b94NQNGiReM9N7vHvyVEbBGX3mJJ27JLu2VXj9yX4k3Ljz/+SGRkJKdOndLbL5VK+fff48yePYUFC/6XFiYKBAJBiiAEXDahc+e+eHjcpmbNVrp9c+cu5+LFazRuXBdAV/RUkHhix8alFzpvXKwYuC8zVrMa8Qm1hMSbFqlUSrNmzfT2qVQqWrbsyokTZ1Eqs6nqFQgEmRIh4LIB585dRqX6/CEeFvaRkJAwFi1aTYcOvfnhB02JkHXr1qWXiZmajOKJi93tIbaIy2okR7zFpkWLFnrPQ0LCuHz5Otu27ftu2wQCgSCtEAIuG/D8+Su953v2HOLy5X91z7WVZO7cuZOWZmUpPos4BQYRynQVc7E9cvHVjsvMxBZqSRFtsTl8+DCmpprEHRsbaypVKoe9fUGdJ/pbqFQqwsI+JuvaAoFAkFKIuu7ZgIEDe1KwYAEGDBhDREQk27btJTpaDoCpqSkKhQKVSoWdnR3wOebtxJ3ZIv4tCWgL/so0Ly1SIwOUZobp2vpKK+Jid3HQirjM1pLrez1vWoyMjDh16hQNGjQgIiKCY8d2YGZmlujzf/xxIG5ul2jbthnz50/Hzi5/km0QCASC70V44LIJLVs2JjIyCtDEAr1960fu3LmJiIhAoVAQExND/fr19QSbEG9JJ3aWqkSuxCBCkbE8cf9tmY3ketsSom7dumzatInIyCiqV29OVFRUos+9dOk6AEeOnKZXr595+9aPJUv+xNa2PP37j05ROwWCtCI8xjhVNkHqIQRcNkK7VFqjRmWqVq1EUFAQZ8+e1R0Xgi1lkShikH6KTlcRB+iJOMMIFTK5OlN531JavGnp3bs3U6ZMwdc3gGbNuiQqiWHgwLHI5XJGjhyJRCLh+fNXzJ+/gtmzlxIdHS1qyQkEgjRDCLhswOvXb4mKikIm07SBOnToBBcuXAWgUKFC6WlatiC9PXEQq4tDJoyB+7LHaUoyd+5cOnfuzL17j6hQoYFeezktcrmcEyfOsnnzbvbtO4K5uTnLly/H2NiYsLCPbNu2VzfWwsI81WwVCASC2AgBl8W5ceMWlSo1JH/+CsTEaGK0AgPf67xx+fLlS0/zsgUZYTk1NlKlGoPIzJPUkFoeOC379u1j2rRp+Pu/w9GxMeHh4Tx9+kJXM3H16k106zaEsWM1Hup8+fIhlUpxd3enVKlSenOZm5umqq0CgUCgRQi4LE61apXi7CtXTvOhM3PmTNFgOI3Qirj0rBcHnz1xWbXESGK5cuUK7dq14/nz5wD8/vvvbNy4kYiISPr1G42TU0tq1myFnV1FihcvojvP2NiYp0+fAlCuXDkePXqk14Lu/fuQtLwNgSDLsXr1aooUKYKJiQlOTk7cuHHjq+NdXV0pXbo0JiYmVKhQgWPHPocxKBQKJk+eTIUKFTA3N6dAgQL07t073r7fR48excnJCVNTU3LlykXHjh31jo8aNYqqVatibGyMo6NjStzqdyMEXBZHKpUybdrnJt0ymYyRIwcCkDdvXt1+Ef+W+qiNMk7Sd2Yp9psa3reIiAiaN2/OkSNHqFChAq9fvwagX79+2NjYcObMRdRqNfXq1UOhUNK370iKFNGEGpibmyOV6r9t/vHHH9y4cYNq1aqhVCp5+dI7xW0WCLIDu3fvZty4ccyYMQNPT08qVapEixYtePfuXbzjr169Srdu3RgwYAC3bt2iY8eOdOzYkXv37gGa/3VPT0+mT5+Op6cn+/fv5/Hjx7Rv315vnn379tGrVy/69evH7du3uXLlCt27x22t179/f7p27ZryN55MJGrtWtpXCAsLw8rKCm9vTywtc6SFXYIURKlUYmtbjpgYFRUrliU0NAxv7zdcunSJunU1ta+EgEsd1IaauEN1Bigp8iUqIykqQ4muxEhGsk1Lagi4n376id27d9OtW2d27TqAsbERAQHvsLS0ZPz48SxduhTQJP08f/6cunXrEBwcjL19EQ4dOkSZMmXindfd3Z3q1atTt64TGzcuJ0+e3CluuyBzEhb2EXv7KoSGhma4VQ/t5/uQiz9gbGGYonNHhyv4q/6+RN+3k5MT1atXZ9WqVYCm5mKhQoUYOXIkv/zyS5zxXbt25dOnTxw5ckS3r2bNmjg6OrJ27dp4r3Hz5k1q1KiBt7c3hQsXRqlUUqRIEX777TcGDBjwTRtnzpzJwYMH8fLy+ubY1EZ44LIBBgYGWFtbAxAa+hFr61wAVKxYUTfmxJ3Z6WJbdiAjijcgwWK/GZHly5djYmKCVCrF0NCABg0aEBwcnKy5bt68iZmZKWvWLMDFZQlRUdFUrVoVgCVLljBixAgmTZoEQPHixfHz8yc6Ws6TJ08SFG8A1apVo2rVqly+fJ2SJWtRunRtypSpw9GjZ5Jlp0CQVQgLC9PboqOj44yRy+V4eHjQtGlT3T6pVErTpk25du1avPNeu3ZNbzxoOq0kNB4gNDQUiURCzpw5AfD09OTt27dIpVIqV65M/vz5adWqlc6Ll5ERAi6boK0cb2Ago1gxewDd0hFAi6oz0sWurIzaUIbayACVYcb+N/tcYiTjibeqg5dx+PBhxo4dS3R0NI0a1cXBoRgXL16kUKFC3Lx5M1nzajOynZ3b4ezcjmfPnuHm5gbAypUrWbBgQbLmdXd3Z/Xq1TRr1oyIiCj8/d/Rq9dwrl79ehyPQJDeRMUYEhljlKJbVIzGo1eoUCGsrKx027x58+JcPygoiJiYmDiJdfny5cPf3z9em/39/ZM0PioqismTJ9OtWzedR/DFixeAxrM2bdo0jhw5Qq5cuWjYsGGyvySmFRn7k0Xw3cyb9wfVqjXTfeN5/vwV+/YdwcTEmJIlSwLQuMl8FDlNUZmLoosphVa8Kc0MUZoZZDjvm5bYxX4zKqOW7gTAysqSffs2cvXqMdatW0p0dBRNmjRJ8nzm5ubI5XLd87lzpwIwevRoIiIivnpuw5YLdFtCDB8+nFOnThEWFqb7cPjf/5InCAWCrICPjw+hoaG6bcqUKWlug0Kh4Mcff0StVvPnn3/q9qtUmv7Rv/76Kz/88ANVq1Zl06ZNSCQSXF1d09zOpCAEXBZnw4btul6ohoaab0MGBgb4+fljZGSkG6cylGiW+YSI+25ie94yqnDLTNiUrEHTpk0JDQ1j8ODxyOVynJ3b0blzWz5+/EhQUNzabV+jXLlyREfL8fC4DUBUlEbM3b9/H3NzcxwcHOI970vR9jURp6Vo0aIULlyYJ09exDl24cJVmjZ1xsHBiUaNOumJSoEgK2Fpaam3GRvH/ZzJnTs3MpmMgIAAvf0BAQHY2trGO6+trW2ixmvFm7e3N6dPn9aLx8ufX9MKr2zZsrp9xsbGFCtWTG+VKiMiBFwWJ1++z5mmv/76KwYGBjg4OOjW/wHOummCQ4WI+z7UhrIvxJssvU1KElKlxguXEb1x//zzD2XLlsXV9TD581fgwoWrODu3A6BRo0ZJmmvWrFn/xdY4U7lyYxwd9c/38/NL9FyJEXGRkZF6X5b69BlBoUKOdOzYB0/PO7x//wEvr3ucP3818TchEGQxjIyMqFq1qi6UATTeMTc3N2rVqhXvObVq1dIbD3D69Gm98Vrx9vTpU86cOYONjY3eeG1pkMePH+ud8+rVK+zt7VPi1lINIeCyOM2bNwA0f+jTp09HoVDw4MEDvTGxP4RUhhJUhlJd9qTg62hFm8rcGLWRQaZYNk0ITSxcxhNvACYmJty/f586deqgUqk4c+YizZs3pFKlcjx8+FC3DJIYHBwcuHXrFgUKFODVKx+sra25ceMGarWaq1evcvVq0oTU15ZV5XI5gYGBODgU5fDhk5Qo4cThwydRq2HgwIEEBQXpimpr6zMKBNmVcePGsW7dOrZs2cLDhw8ZNmwYnz59ol+/fsDn9ndaRo8ezYkTJ1iyZAmPHj1i5syZuLu7M2LECEAjxJydnXF3d2f79u3ExMTg7++Pv7+/zuNtaWnJ0KFDmTFjBqdOneLx48cMGzYMgC5duuiu9ezZM7y8vPD39ycyMhIvLy+8vLzS1XMuBFwWZ/ToIRgbG+HldStO/SpInAdBED9ab1uMuRFyK832vdmmKiNpvFtqo4uFU6rTpcBviPc9Hu5bjDI6Ms6x2KVEtHGbly9fZ8eO/bRu3ZSYmBiWL1+epOstXrxYV8wzKCiIChUqAJovOrGzs7Uk9v/ky3G//PILarWaf//1oE+fEYSFfWTSpEmEh4ezbt06rK2tKV68OADHj7vFN6VAkG3o2rUrixcv5n//+x+Ojo54eXlx4sQJXaLC69ev9TzktWvXZseOHbi4uFCpUiX27t3LwYMHKV++PABv377l8OHDvHnzBkdHR/Lnz6/bYn9RW7RoET/99BO9evWievXqeHt7c/bsWXLlyqUbM3DgQCpXrsxff/3FkydPqFy5MpUrV463KHBaIerAZQHCw8M5cuQ0794FYW5uTpEihWjUqI5OsLVp052rV2/SpUsXFixYQNGiRYGEP5QMIpTIPsmRpHPXgIxG7JpuoOlxGmNuhMpQlizR9qUw+3KO2EuZUnniPUzJJXZdOKVp2noPfT1O4O95itKdxmGWu6DesdgCTqVS0a5dO121dWNjI6Kj5dSvX58LFy7oxsT3ZSU2BgYGGBgYkCePDW/f+qFUKhM8Jzlfcs6fmAxA4cKF8fHxwcLCgh9++IE1a9ZgZmamN3bq1KnMmzePY8d2UqtWtSRfS5DxyQx14Pqc+wkjC6Nvn5AE5OFytjTalSHvOyuQcUrDC5LFlClz+OuvLXypww0NDWnSpC5Dh/blw4cQQNNyZN++fTx69IhBI/eng7WZn9hlQaQYpKh4UxnozxP7udRQglShRvXfz7QQdGlJgaotsS5eGZOcX+/NK5VKOXr0KHv27KFr165ER8sxMzNj9+7d9OvXD1dXVz59+oSDgwMrV65k/fr1qNVqXFxcdLUQASpUqICXlxdv3vgyYMCAFBVv2vPOn5iMp6cnr1+/pkqVKgmOffv2LYCuvI9AkB5EqIxQxKSsgFNkrbepDIfwwGVyrK1LYmJiwsqVK3FwcCAsLAxPT0/Wr1+Pj49PvOf8/vvvnLmccMVt4YGLH7WhTOdxg+/rXKD1dmlRmH0h6L74aiVVgmGECpWBRLPM+UWigVSu0onC7xF3WruiLTNeBm1sT5y/vz/58+fHxMSEuXPn4uHhwfbt27GwMKdYMXvu3NGP8+zevTvbt2/X27dkyRIUCkW8Fd4hZcILtJ64hFCpVFhYWCCTSfH29vym51CQOckMHrgubr0xNE9hAfdJjmuTrRnyvrMCwgOXycmZ04oPH0IYOnQo+/bto3379rRt25ZDb3JgLY8i3O85nwJfo1LIkUkNMTfNy8nrRsjImMHqGYUvkzhiZ5amhHBTGUiIMZKgMtCIs2+3slLrRF6MkQSZPNbyqlJNSoWzasSfVGNTynbV+W6qDl6mE3Ha8gFmZmbkyKH5UmlqaoKn5xny5MmNg4MTQUHBFCxYgDdvfDl16hQnT56kRYsWuvnGjx+f4LXq/rAYaQoI4m/xyy+/EBkZybx5vwrxJhBkceRyOe/evYuTdFW4cOFkzScEXCZl5Mgp7Nx5gJ49nTExMeavv7bSqVMnPnz4oPumIzMywcq+HFb25XTnSRVqYiLUSCJVWW4Z7nvRijat5zF28/mUbIWlMpCgMJPo5kusUIodlxZb+BnGqT2rLwSS83uWydUZsj9q1cHLAI03Lm/evKhUKmQyGTlymPP8+U2dCIqMjALA3r4garWat2/9aNmyJXny5GHZsmX88MMPuLu7U7t27TjCqXbXJWAgQRWjRBkeholZriS/hiojKRcPT0zwuL+/P0+ePGHVqlVYWuZg6NC+SZpfIBBkHp4+fUr//v3jZLir1WokEgkxMclb7RJf+TIhjx8/Y9u2vcTExPD33660bt0UR8fyqFQqhg8f/tVzVYb/eX4MJWmS3ZgZiF2/TW1k8EUXBcMUEW/abFKlqZQYo2TEzMVzfe0yq8JMk3ig3ZSm/3n5DJP/e06vbNTEUnXwMqoOXoZUKqVmzZqEhoYRERGBXC6nb9+RfPqkUbXt27fk3r2LeHt70rVrB96/f0+vXr2wsrKiXr16uvIEsedVmElQGqi5dmgKN93mEROj+OZrGF/WcP32ixIcX7RoURo0aEBkZCQVK5ZNcJxAIMj89O3bF6lUypEjR/Dw8MDT0xNPT09u3bqFp6dnsucVHrhMyPDhmkbbq1ev5ueff6ZDh95IJJoP+O3bt9O/f/8Ez/1WkdaMWMQ1LdDrWWqY/MzS2Gg/yHWetv88b7H3JXvuOOerE5wzs/1O1Wo1Plf3o1LIsXVsgknOvF8dP2bMGK5cucLAgeNwd/fi/fsPgCbhoWfPHwCwtMzB2rWL8fX159Kl60ilEgwMDDh48GCc+VSGEqJDAnXPJSZGoFCjMpLqeeJii7rYwly7vH11d9wl2qdPn7Jjxw6ioqJ0+4YM6f2tl0QgEGRivLy88PDwoHTp0ik6r3DBZEJy59ZUkq5atSoTJkygd+/eFCz4ufTC4IU7Ezz3W8JBqohBmkVTh3Seti82QBffpjQz+O4ivDpPjKGEaCsZCjPp55g3Q0mqLEvGnlNloPXKaa6pNJWiNJclusZcevdGlUgkBD24QvDTm7x02/LN8Z07d8ba2pqTJ8/pxBvAsGF94pTsWLlyHoMH9+LevYsMHNiTsLAwDh8+HGfOqCjNPGa57FAZxFru/u/1UprLNK/rf5vCTBPPqH3t4xNvQ4cOpWTJksycOVO3b9WqebRt2/zbL4pAIMi0lC1bNskt/xKDEHCZkF9/1QRyt2nThrFjx7JlyxZev37NgAEDyFW8CuZ5k1eOQKpQZznx9qVQ0y6TxpgbEWNupHucEqJN7/l/iQraD3VtwkJaEHv5VGn6X7ydgUQnNr68z68tD6aHkFOr1RRp1JN8jk2wb9AtwXHahAapVMrTp09p2bIlAA4OxWjZshG1atVg7tzleufY2xdiwYL/YWNjTd68uQHiraRuaKpJjLAqXO6/391nEac0l/23XC3RbbFf8/jYsmULf/31F4UK2en25chhQY8ezol8VQQCQWZlwYIFTJo0ifPnz/P+/XvCwsL0tuQillAzIRUrluW33yYxY8ZCGjZsyJMnTwBYv349t/4L8k6ILz+QYy8LaT98JHJlpi0hEjsRQRvLpuXLLFJNXbUUXCqNtWSq9bhpSevCuF8S25YYIwmGEZ+FuvZv4sslwfRKYpBIJFiXSLhuWnxYW1vTr18/Tpw4wejRg7CxsaZbtyGA5v8lPi/XoUPHkUqldO7cGficIAFglrsgZX6YhEnOvKhiAD4vg2vFeEKvzc1N4/SeBwUF4eLiAmg8bh06aJZMe/fuEudcgSC9iFAaYahM4TIiGTiONi1p2rQpAE2aNNHb/71JDELAZVIKF9YsmebJkydJ52k+dOKv8J/ZYqW+JHbpD5W5cZyG8nE8TykoTr6s6ZaRMjg1niHNY+3vOHbdOZlcjVRvCfZzrF5GJnZZEUBXTmTOnOUEBn5erqhcuUK858tkUiQSCVKpVE+8aTG1tgVAJQXN/8xnL2pCv9vY9oCmRc+kSZN0z0eN+lX3eMKEEQnem0AgyDqcO3cuVeYVAi4TEhUVxYgRv2BsbMw///wDEO8HUFLJKIIjOcReIv2WcEspvqzpptufgcTbl3y263PSg6Ykib79+mMzLrFFXJ06mvZxfn4B5MxpRd68+Xjy5AkfP4bHOW/kyCl4et7FxsYmUf872i8+X3tNvhRvQUFBzJ07F4AOHVpy8uQ5Xf0nIyMjcuYUhU0FguxAgwYNUmVeEQOXyXj71o8aNVrw6VMEixYt0msPlFS0dapiYuTI5ZoPOV0mZibkc+kPg2/GJH0vX4o3palmS6s4t5RGG6unFZ+ZQbxp0ZYUsbS05M6dO/j4+PDhQ4iuoXXJksVpMukfmkzSfNmZNWsJ27btBcCqasdEX+dbr0lsIXj69Gny5MlDSEgIACtWzMXP7x779m2kfPnSHDq0NQl3KBAIMjshISEsWbKEgQMHMnDgQJYtW0ZoaOh3zZlJP26yF8+fv8TV9R/OnLmAp+dd1Go1o0aNYuTIkboxHi5jE+2FUxlKuLxvAgDH9o8kX/6SREeGULl8X6yMv96LMiMSu25bWgsPXTeF//qUZhbho5e1GutxZl9GL1fuc9FqCwsLAMLDPwEQ6n2fgqX+4NM7bywLlcHWsSmRH/xQRIRhaJYy3jCtR3DZMs3/YoMGtWjQoI6uBaGDQzEuXfonRa4lEAgyB+7u7rRo0QJTU1Nq1KgBwNKlS5kzZw6nTp36aq/kryEEXAYmLOwjzZo58+TJCwBkMhkVKlRgw4YNDHG5FCcG6EvUKhXv7l0gKuQdpjYFsCxYGmNLTebdypUrWb58OS9evNCNv3FrNc+ePePnTptS98ZSkNj9SdNKPGm9bxkt1i0lyEr38vHjRwCqtx2LRCoj4PZZAKzsy1GoThee/LMC+cdggh5cpcwPE1LsulUHL0Py7h0As2b9Igr1CgTZnLFjx9K+fXvWrVuHgYFGdimVSgYOHMiYMWO4ePFisuYVAi6DEhUVhZNTS/z939GhQwfGjBlD/fr1P7f9cbkEJBz75uEylmJN+/D2+j+Y2tgR/NSdN6oDSKQyUKsYpVZjaGhAnTo16NatEyEhYUybNo+OHTty9+5dWlaclla3mmy04k1pljZ/xrGXTWO3whJkTH744QdOX7tN0KPrqFUxGFvaULjuj1gUKMHzk+uRfwwGIGeR+JMcUoLw8LjxdwKBIHvh7u6uJ94ADAwMmDRpEtWqVUv2vELAZUCUSiV16rTB3/8dxZsPwCdvORo2bKg7/q2lUq1Xrketwsx2g2JN++A6ozWbNu3k8eNnvHsXRNu2zRk2rK9eH8iLF69x6tR5Ll68yIk7szO0iEtP8ZacVliC1Ce2R1r7P1KynSbTU63WLA1LJBIUEWGE+TwEoHjzAXq9glMCTZ/WeZibm1G7do0UnVsgEGQ+LC0tef36dZxODD4+Prrs+eQgBFwG4vnzl/z88y+4u98mJkZFkUY9dB8uyckyLVKkCADjmuchf/58TJ065qvjV62aR8mStejSpQsPHz7MsCLuc8xb2v/5pmVBXkHSSej/RNtqDkAiM8CmlBO5Szlhnq9Iil5fKyALFy6Mh4cH8+b9ga1tXvr06ar3ZUkgyGhEx8iIiUnZNzdlMuubZTW6du3KgAEDWLx4MbVr1wbgypUrTJw4kW7dEi5W/i3ER1EGYevW3YwdOx2VSk3u0rWwKVk9WR8usWPitH8o+/cfpXPntt88N0+e3HTo0JJDh05QsGBBXr16lWFFXFqSlWPesiMGxmbY1++a4vPG/t8bO3YsPXv2ZOHCVQDkzZuHNm2apvg1BQJBxmfx4sVIJBJ69+6NUqmpbmxoaMiwYcOYP39+sucVXwkzALNnL2P06GlYWOTg9u3bFK7XJdmegdgeiDdv3gBw+fL1RJ+/efNK/ve/CURGRtK2bVtev37NiTuzk2VLapFWXSJURlJdz8toS6mmTIgQb4J4+DKZqEePHqxYsUL3PF++3GltkkAgyCAYGRnxxx9/8OHDB7y8vPDy8iI4OJhly5ZhbGyc7HmFgEtFwsPD+ftv16+OuXr1BkuWrCFPntw8f/6cfqvcvvu6WhE3a9YsAGbMmJik81u31rT7uHnzJpUqVQLIUCIudseF1OLLhAWB4GvEt3Q7aNAgChQoAMCwYZPiHBcIBNkLMzMzKlSoQIUKFTAzM/vu+cQSaipx+PBJ+vcfTUxMDEFBwYwdOyTOmLCwjzg7D8DAwIDr12+QO3fuJNVz+xpVBy8jxNcXCwtz+vVL2hp7qVIluHTpH/74w4W9e/+hZ8+ebNu27bttSikkihi9HqcpjUhYECSH2P+3Hi5jMTEx4a+//qJdu3Y0aFA7HS0TCARpTefOndm8eTOWlpa6fssJsX///mRdQwi4VOD9+2BGjPhFFzg9a9ZiSpcuQatW+o1sGzbsSGRkFEWKFKFo0aK6/V+r7QaJS2jwcBlLnTp7efHiBVu37qZ376TF/JQvX5p165Zy//4jtm/fzsCBA3VeuIwQEyeRKzGIkKZ6IkN6t5VKbMKEVDSNzlBoM2JfvXoFQPPmDXXHzp27zOLFa/D2fkOePDYcPbo9Rb6NCwSCjIOVlZVOA1haWuolUqUUYgk1hVGpVFSt2pSPH8NZtGgRt2/fBsDF5e84Y/Pm1cTFGBpqOo3PmjULc3NzLCwsMDMzQyKRYGZmRocOHfD19dWd9y2Bp2Xnzp1YWFgwevQ0OnXqqwueTAralj8///yzro9jRlhOlShikH2Sp2rngBij1G3H9TVUBqA0BaXJtzdto3pBxiIqKoqDBw8CGm87aMIqevYcztWrN/HzC8DL6x52dpU4cOBYOloqEAhSmk2bNulKhGzevJlNmzYluCUXIeBSmN69fyY09COzZ89mzJgxVKxYEYDr1z30xl2+/C8PHz4FNC01mjVrxowZMzAwkGFrm4cqVSrSsmUjcuWy4vDhw9SsWVPv/NmdSlNRcYfwC2t5dW47UaGBumOxSxkEBARQu3Ztzp+/QvXqzZHL5Um6nzx5ctO+fQsePHhAlSpV6Ny5M8eOHcsQIi41l1HTG5UhqGQQY6rZVIZf2WT/ib3/Np3XMOu+PJmCX3/9FTc3TUzroEHjsLEpRcWKjYiIiGTdunV4eHjEGjs3vcwUCASpTOPGjXV9kWMTFhZG48aNkz2veItPQfz8Ajh69Azly5fn119/BWDrVo0Hq3v3HwC4d+8Rv/22CDe3i8hkBixfvhxPT0/OnDlD3bpOHDq0NU69qOLFq6NQKHTP27Vrx5EjRwAwNjYmOjqaHIogTJqP1jsvLCwMS0tLrly5wsiRI1m1ahXlytXn6dN/k3RfmzatoESJGty+fZvbt29z4MABjI2NyZ/DkSK5a2JsaJG0FyqFkMiVYJa13E+aMiUaUfalZ02dwH9rjAGolJ+PyyLBIOqzwDOITF2bBXHxcBnLo0ePOHz4MMOGDWP27Nl8+PCB0NAwFi5cyMCBAwG4d+8eTk5Oun6tAkF6EakwxECRsu+nSoUqRefLrJw/fz5e50lUVBSXLl1K9rxCwKUgP//8CwAbN27U7dP+0jZs2M7GjTt0FeFLly7NkSNHKFSoEBYWFuTKZRWveAP4+PETZcoUBuD48eMcOXKEcuVKsXv3Ouzs8tO06Q/cunUP97m9GDp0KNu352X8+PEEBARgbW3Njh07WLlyJXv37uXdfz0ak4JUKuXevYs8e/aKwoULsnLlev5ed5pXQdexMM6DnXWlJM+ZEkgUMRhEKNKliX1qoTLULIt+KdYSEm8JzhHrudIUpIq447Jb3FxSPJLf89poPeClS5fm6VONl33MmDFcvnyZ2rVr67XTKVeuHC1atGD//v2MGTON5cvT37MtEAhShjt37ugeP3jwAH9/f93zmJgYTpw4gZ2dXbLnFwIuhfD29uHcucs4OjpSvXp13f6BAwfy8OFDnVirWLEigwYNokyZMsD/2TvvsKbO9w/fCUnYqMhwAeLeu+LedddVt3XVUfesWvdedVTrrHVvf466t+LeoqIiyAZRBERkk/n7I82BCCggIPab+7pyGc55z3vOiZB88rzP83lgzpw5KBQK5s6dkqZ48/X1R6FQUL9+fQB+++03xGIRp0/vw8pKu74uEokRiURUrFiBsLBwDh8+DEDjxvW4efMebdq04fnz5+TLl4+IiAiioqLJn98qU/dnZmYmNOWeOXMCwcEhHDzoi41lycy/WNmIOC4JCeSYiBMrNN+EOEwp8DQSbVROh1oJmGifpxRyYlXyz/9VMZdStKWVLyhWJG/TPZckfjQmk69NypZewhxiMY0aNUpz/L59+yhevDh79hxm5cp5ho4NBgz8R6hWrRoikQiRSJTmUqmpqSlr1qzJ8vyGd4psYv78lQDs2pW6WKFPnz7Uq1cPExMTXr58KeS+yOVyli9fhrm5GX36/JjmvP/3f8cB6NmzJ+vXr8fd3Z0aNaoK4g3g9es3WFhYEBYWLlS6FC1amKNHd3DjxglAQ7du3Zg7dy5KpZK6ddtkOhfuY86evYy1dYGvtnyqQyM1QiRXIs4hc99vQbxlBI3kX2FnmiKvzkgrauSWyblzuse3iO7alaYgt9A+UhZ7qEyTXwdIfj10z3VCLlWRSA6/HjKZjIoVK6JUKpk+fXHOnsyAAQO5hr+/P76+vmg0Gu7du4e/v7/wCAkJITo6mp9//jnL84s0ujW9TxAdHU2+fPkIDHTTEw4GkunUqT9Xr97i45czMDAQZ2fnVNstLLTCJzY2lmXLZjN48E9pztu0aWfc3T1QKBRYW1sjlyfx6NFl7O1thTFOTjWEKrfVqxewZcte5s2bInhP1a3bFi8vH9q2bYuNjQ07duygUaM6HDuWWmxmhC1b9vLrr7OZNGkSv//++1e3FcnuxvZqmfZ7TVI+o1xvnaWrPM3MkmlWEaXImxMp/82b+9cjWazS5s6pJXk/OqdOIb50hR9ZRfeaiFLcs1ihfW2y+jp8rmpcrVZjZKR94SUSI8LDPbN2IgN5lujoGJycavDhwwesrDK3+pHT6D7f6x8bhcQ8610B0kIZl8TNjmvz5H3/F/hGv2vnPTw9vcmfP3+q7YsXL0aj0XDmzH7q1KmJXC5n5swlnDhxnoiISEaPHpyueAN48cKb4sWLc+HCBT58+MDQoX31xBsg2IOYm5vTr1+PVJ5vAwf2YsqUeZw6dQojIyOcnZ25e9cty/e6ceN2JBIJixYt+uriDbS5cOJsTJYVy9WCiMvtCJxYAWIjUJPzIu7j+ZUmH/38b5ROt9SaF4WcTvDq+NLXLGV0TodKon0NUi61ZvS1yKjlj5mZGfHx8YjFOd9lxIABA18HDw8PgoKCUq2AdejQIUvzGQRcNhEWFkHdunVTbb979y4SiYQ6dWoC2uWSpUtnsXTprM/OefXqLZKSkmjVqhUrVqwAYOrUcXpj4uPjiY/XlhmWLVsizXmGDu3L4MF9uHfvEW3a9CQhIYGkJDlKpVIvoTojqNVq/P2DqFatGu1rzMnUsTmJOC4JiTTnjX1zGrFSXyzkFikFi0iZXMGakpQCRkdOiLqPlyzVUv1ctZTkVrRSJxI1kuQq35Sk9TpkVLyJxWKCg4OpWbOmnt+jAQMG/hv4+fnRuXNnnj59ikgkElbkdClPKlXWUoAMOXDZwMOHT9BoNKmcltVqNc+ePaNECcdMz6lUKvn557GIxWIWLFjAkydPKFiwQKrig5QCrHr1KunOJxaLqVOnJsWKFREqUR88eJKp6/njj7+oW7ctKpWK7t27Z/KOch5JVAKS+OxRFGK5Gmm8GklCzhkF51V0eWI6YSR4zaVlIpwi7yyzOXQpx6ecR8jLS+Pfjx+5Id4g9esht0y+JrU09T1nVLwBLFmyhPDwcNRqNTLZf8sWx4ABAzB27FicnZ0JCwvDzMyM58+fc+3aNWrVqsWVK1eyPO+3Ha7II5w/fwWAfv366W3fvXs3SqWSPn26ZnrO8eNnEhkZxaJFi7C2tiYyMpIyZVJXfMpkMuF59+4dPzvv4MF9mDNnGQAnT54TIoNpoVarGTFiMiYmJuzf/w9JSXLEYjFNmjTh0q4POdIa5EuRRCUAptkSiRMrNEjj1YAYpWnu3WtuLqN+DkG0kJwbpssxEyn17UrUKVb/Po5QpYXOMgWSo3pqafI5VZ+495T5e7lNyvN+vHAvVmZOvO3YsYOpU6cydepUAGrXrpENV2jAQOZJUklQfeqPLgsosxhZ+q9x+/ZtLl++jI2NDWKxGLFYTIMGDVi8eDFjxozh0aNHWZrXEIHLBjp2bAPAgwcP9LafPq1tjzNgQM9MzRcZGcX+/UcpXLgwU6dOZfHixSiVSpo3b5jm+FGjBrFs2Wxq167+2bmHDx8AaEO3N27cS3fcpUvXqVKlCQcOHGPHjgMYG5uwbt06FAoFrq6unHu6MFP3lFtopEaIFepsa7ElVmgwkmtytGVXqnP+W1CQlnfb1yKt3DBdFaduuTVl14iMtABLmbumOy6jouxrC1sduupVXYRSLclYr2IdKb8ENWzowuHDW3LiMg0YMPAVUalUQlstGxsbIVXCyckJLy+vLM+bR94Gv210PULv3NHvcODn55el+bp2/RmlUsmmTZtYsmQJ06ZNo2BBa2bMSPub/fz5v2V4bplMhkwmQ6lUEhERme640NC3hIS8EX5++/YtJiYm6Y7Pa2RH8UHKYobcRifiIHPC5muQlumwKkUlZ8pK10/dR16+x0+hkSRH4pRkLPqoo2fPngwZMoR8+aw4fnx3TlyeAQMGvjKVKlXiyZMnODs74+Liwu+//45MJmPTpk2UKJF27npG+EbfMvMGXl4+NGnSmcRE7Tt2oUKF9PZ7enpStGjhTFuvPHnynBo1anD06FG2bNlCwYLW3L59Sm+59Euwt7clJOQNoaFhqNXqNI1D+/TpysqVG/DzC0KlUgljMlp1qlIruen3J4mJidhYlKSKY2ck4uy5/k8h+tcPThKfPQUNYrkasVQE5P5ysU7EKfn0cmJe5Uu6SXxrfGw9kjIK96klVZlMxs8//8zGjRs5fvwcHTq0ysnLNGDAwFdgxowZxMVp2+XNmzeP9u3b07BhQwoWLMiBAweyPK9hCTUDKJVKPDxeAtreZYMHj2fo0In8/PM4EhMTadKkCcWLF+eXX34RjomNjSUmJoaKFctm6lyBgcGo1Wrc3NzYsmULpUuX4Nmzq9ja2mTb/VhYmCESiVCpVPj6BqQ7LjExCZlMmiln+LBoL/zCbjF7Y3sSEhLQaDSEx/jgHeqaDVeeMUQKFUZx8uwraFBokMbn7jJqSnK7ItVA7rJsmTYn9cSJc1/5SgwY+PqsW7eO4sWLY2JigouLC/fupZ/qA3Dw4EHKlSuHiYkJlStXFlKXABQKBVOmTKFy5cqYm5tTpEgR+vXrl261d1JSktA94fHjx8J2Ly8vmjZtir29PSYmJpQoUYIZM2bo9Sj/FK1ataJLly4AlCpVCk9PTyIiIggLC/uiZvYGAZcO0dExzJ+/kgoV6mNrW5769dtx/vwVzpy5zOHDJzl48DgeHl4ULlyYK1euEBAQwJ49e4TjT506BUCbNi0ydd6TJy8Iz7//vjF37pz5oqXLESOmcOTISb1txsbGQhmzzoJEh6+vPwsW/EH58vV5/fotAwcmu0SnF307676As+7aHo5+YbfxfutK48aNAVi+fC6VKpUj6N1DEhXRWb6PzKLzhssO0SWWq5EkqL+qiDPwbSBWpbYU+VxOnIWFBVKpVPiSaMDA/yoHDhxgwoQJzJ49Gzc3N6pWrUqrVq3S7eF969YtevXqxaBBg3j06BGdOnWiU6dOPHv2DNDabLm5uTFz5kzc3Nw4cuQIXl5e6fquTZ48mSJFiqTaLpVK6devH+fPn8fLy4tVq1bx999/M3v27M/ek0KhQCKRCNekw9ra+osLAf/DixqZ5+3bcJo3/1Ev9yslmzbt5PLlG8LPI0aM4Phxbaurjh07snfvXmGfrol1hQplMnUNgwb15vlzL7p1+4GmTRtk9hb0CAoKYd++I+zbd4QyZUpRqVI5APLlsxLy9jZs2IaJiQln/nlEdEKoILKkUikjRoxg3bp1nzzHWfcFJCYm4unpyVn3BViY/AUgLM3++GN7XF2v8+yZJ0a5sISaEpFciVgqRi3NnqVU7SxiFGa5Z/CrW0b90g4DBnKeTy0Rp9UfNSXlypXj+fPnxMfHY2ZmlgNXZ8BA3mflypUMGTKEgQMHArBx40ZOnTrF1q1b+e231Lneq1evpnXr1kyaNAmA+fPnc+HCBdauXcvGjRvJly8fFy5c0Dtm7dq11K5dm6CgIBwdky2+zpw5w/nz5zl8+DBnzpzRO6ZEiRJ6uWpOTk5cuXKF69evf/aepFIpjo6OWfZ6+xSGCFwKfv11drriDbSVmbrIlYmJCcuWLePRo0dcvXqVgQMHUqZMGXr16vWvn5NWrCiVmSslNDExYf36pV8s3gBCQ5O/tbRo8SMHDhwDwMFB+w3DwsJCqDKVKxMolK8CVRw60bDMCJqWnYTv9QK0rjJDeKTFlStXsLW1pXr16kyfPp24pAhhn1qt5tw5V0JCQgFYf2TIF9/T1+RrReIkCdrIjkipn2dlIG8hUma9cnjGjBmo1WomT573yXG9ew9j7VpDpaqBb4vo6Gi9R1JSUqoxcrmchw8f0qJF8qqVWCymRYsW3L59O815b9++rTcetMuV6Y0H+PBBa4GVsnPS27dvGTJkCLt27crQFygfHx/Onj0rrDR9junTpzNt2jQiI9MvHMwKhghcCv76aznnz1+lZcvGmJmZUaBA6XTHJiYmYmlpyT///ENgYCBjxowBYP/+/bx69YoJEyYAcOPGPerVq50r1/8xly5dE57L5QqGDfuVsWOnI5FoDbuePn2Ku7s7K6dcwkSa8UKLyLgg5Mp4Hvjup3LlysTGxiISiVizZo3gMl2qlDNr1iymTp2aVK1agXr12tGlSxeeP3+ea+23Ui6jZlfE7GtF4iT/rnSrjb7Ngob/Orpesp/qTPGpwobu3bszbtw49uw5TEBAMCdPJqdjqNVqAgODCQoK4cyZS5w5c4lRowZl+z0Y+N9GrpKgUmbvm4su6uTg4KC3ffbs2cyZM0dvW0REBCqVCnt7e73t9vb2eHqm3R84NDQ0zfGhoaFpjk9MTGTKlCn06tVL6M2q0WgYMGAAw4YNo1atWgQEBKR7P/Xq1cPNzY2kpCSGDh3KvHmf/sKlY+3atfj4+FCkSBGcnJwwNzfX2+/mlrXWloaPghSYmZnRqVMb4efGjevh7v4cEFG2bEmKFSvCo0dP0Wg0NGjgwt69R+jYMdk819f3PsOG/cqFC1epWLEiJiYmbNy4ncmTR32Fu4EpU0bj7x/EoUMnyJcvH0OHDuXQoUNERkZSzbEtwzpsBsiUeAt5/4Rnr7Q5dS4uLlSuXBlPT0+qV6+Em9tTBgwYwPbt2/Hx8adNm54EBrpRrlxpatSozKNH2hyAs+4Lck3EieOSkABKM+l/QsQpTYGEvG8t8r+ELiqqNtL6wGW1vdirV69o2LAhN2/eYuPG7axe/TdhYRFCuoOOIkUKpTODAQN5k+DgYL1m9sbGxrl+DQqFgu7du6PRaNiwYYOwfc2aNcTExAhm2p/iwIEDxMTE8OTJEyZNmsTy5cuZPHnyZ4/r2LFjjhjfGz4CPsHRozs+ub9TpzZ06TJQ+Ll798GcPbsfW9vyhIeH06BBAy5evJjTlyng7x/IxIlzmD37V6pWrYhYLGbjxmU8evQUHx9/Fi5cyNKlS4GM24HoSJBHEfTuAQERdymUrzylq1hx/fpdWrVqhaWlpSDOPD09hSictXUBIdrXpEkDHj50Z/jw4WzYsCFXRVx25sLp+FjE6chpMSeIOAyRuLyCzkIkrQKG9EgrJ04sFnPu3DlsbW2ZOlXfKNvY2BiRCKpVq8SpU3sxYOBbwsrKSk/ApYWNjQ1GRka8fftWb/vbt29TWXTpKFSoUIbG68RbYGAgly9f1ruWy5cvc/v27VSislatWvTp04cdO5J1gC6SWKFCBVQqFUOHDmXixIkYGRnxKT6ONmYXhhy4L6Bp0wYYGxtjbW0NwIcP0QQGBgPapEc/Pz/MzHIv83zgwLG4ut6gZ8+hgNb+pGXL7vj4+NO8eXOhb2pmhZNao+aOzzYCIu5ia1mKEnYNCArSlmEvXryYEiVKCHM/ePBAqMaNjHzP8OHabyfTpo3F3t6Wv//+m8jIyFwTbzqyszuDMGfKnDjlvwUHCTmfH6fLiTNKMOTE/deIj4/H0tJC+LlChTK8e+dFaOgz3rx5xpkz+zNl62PAwLeCTCajZs2aXLp0SdimVqu5dOkSdevWTfOYunXr6o0HuHDhgt54nXjz9vbm4sWLFCxYUG/8n3/+yZMnT3j8+DGPHz8WbEgOHDjAwoXpdxxSq9UoFIpUEfK0KFGiBO/evUu1PSoqymDk+3XREB8fD0D16pWFBMiYmBhiYmL03oxzmrAwbQFBaGgYHTr8xJMnHkRHx9ChQweOHTuW4XkS5FG8jnqGCBHFbVwIj/FFrtLeY1XHLqz/pzNlyvwtjH/y5AmjR49m7dq1aDQahg8fJuw7fvwcZ89epnXrZmzY8Dtdugxk8ODBnHU/kusiLifQReLEyuTIm8JMDGRf3l1a6CJxBo+4b5O0KlIjIiKEfJ7vvqtOpUrlWLDgN4NgM/A/w4QJE+jfvz+1atWidu3arFq1iri4OKEqtV+/fhQtWpTFixcD2ibxjRs3ZsWKFbRr1479+/fz4MEDNm3aBGjFW9euXXFzc+PkyZOoVCohP87a2hqZTKZXiQra4j6AkiVLUqxYMQD27NmDVCqlcuXKGBsb8+DBA6ZOnUqPHj2QSj//JhwQEJBmFWpSUhKvXr3K4qtlEHBfTKFCdgQGav8Drly5ReHC9kgkRty/fx87Ozs8PJ5z48YdGjSok+PX0qVLW9at2wbA9et3kUgkLF++nIkTJ2Z4Dv/w23iHuiIWS1Gp5RiJZYK1SNu2Ldi1axByuVwYLxaLUavVrFmzhhIlSiASifD19aVo0cJCRe/gweN59eoJTZs2wMnJgWPHjhEVFZV9N/4ZdN0ZsnsZVYdYrm14r0Mar0ZhJs5xcaVrem9YSs07ZCYHLjExkR9++AFvb2+qVq1KcHCwsM/Dw4uTJ3dnW/cVAwa+BXr06EF4eDizZs0iNDSUatWqcfbsWeGLTVBQkN4Xmnr16rF3715mzJjBtGnTKF26NEePHqVSpUoAhISECFZf1apV0zuXq6srTZo0ydB1SSQSli5dysuXL9FoNDg5OTFq1CjGj0/fGggQzg1w7tw58uXLJ/ysUqm4dOkSzs7OGbqGtBBpdL4YnyA6Opp8+fIRGOiW6bZQ/3VGjfqNPXsOCz8fOrSV4cMno1ZruH//PmXKlMHISMw//+ygbt1aOX49Vao04fXrUPbu3Yunpydt27alVq1aGYp2RcWHcNd3O042LpSyb8RD/30UsJfy448/snz5cgCmTh3L5MmjUlXoVqlSAXd3D3755Rf++kvrBTdixEDWr9+GmZkpISHuAOzZc4hRo6ayZs0aTm5Ku1Iop1CbG2drMUO655GJUUtFKMzEKE1z9lxyC4M/XF5AqEJVwKP12jf19Ax8ddG3BQsWMHPmTIyNZSQlab8UtW/fnu+++47Zs2ezfPlcBg3qnTs3YCBHiY6OwcmpBh8+fPhsLlhuo/t8r3LwV4zMsre4QBWfhHu35XnyvnMDndjU5YWnRCqVUrx4cVasWEH79u2zNv8XX+H/OGvXLuHHH5Nf/JUrN1C8uAPv37/H2dmZzZs3o1SqaN++D56e3jl+Pf3790ClUtGjRw9mz55N7dq1M7RGD/Am6jkmUivKFmqORCzDSCwlJiaGFStWCGOWLNH2Nx04sJfwy1mwYAGioj4AcOzYMcGdukqVijx+fJl795JbBHl6+gBwaKUHoiQlothE7b9JOZvMpZF+Osk0OxHL1UjiVEjj1TmeE6fzhzOQN9CJN9AKtYebxqNIiCUpJpK760frLZ3qItnnzv0f3bppneH//vtvypbVtt/LCeNPAwbSQ6E0ypHH/zJqtRq1Wo2joyNhYWHCz2q1mqSkJLy8vLIs3sAg4LKF7t2TrURCQt4QFhaOWq1m5syZDBgwAJVKhVqt5vz5Kzl+LSNHDqRDh1YUKKAN1RYqVCjDOTRyZSxmsuT2Hg6lzImIiECj0VC0aGFA65kTEvKGlSvn8fLlbcqWLcX06eMJCgoBtL48Ok+bP//cxLJl6yhcWBv+PnDgGOvWbcHExIQrfus547UE4uIgLh7i4nNUxIkUKkTy3FU6OhEnVpJjIk6s0D4MIu7roYu+PVmdLM6CgoLYsGEDFhYWPN09i+f7FyCVSrGwMGfAgAHEx8dTpoy2S0uzZl04ePA4MpkMJycnevbsCcDp0xe5cePOV7knAwYMZB/+/v7Y2GRfP3MdhuyZL0CpVPLddy0JCEjOXdHlw/30008sW7YMS0sLypUrjZ1dQUaMGJjeVBni5MnzjBkzjfj4RGxtC5IvnyW2tjZUrlyeatUq4ubmjru7B7dvP0CpVGFubs7WrVuBjHqvidCgZv+1AQB07nxF2NOnz4+cP3+FcuVKUbKkds2+YEFr7tw5w86dBwCYNetX5s1bjlKppEqVKri7u+Ph8ZK9e49QpUoFfHz80WigQYPkLhNn3mr9eNoUG4PGOGd/HUUKFZJ4Ra4so+qQxGmjKDlV2CC02lKB0sTgDZfbfCzevLy8qFy5sl6TaxeXGjRr1pDHj5/h5ubOjh072L17N+XLl8fOzpawsHAAWrdurZczc/XqLa5evUXjxnVZs2aJ0EHFgAED3x6XLl3i0qVLQiQuJbrP6cxieLvPAnK5nIEDx3L+vCtKpQqJRIJSqaRWrVpUqFCBiIgIAgMDSUpKYsKEYdlm5Dtlyjzev/9AoUKFiImJIzz8HR4eL7ly5abeuIIFCzJjxgxGjRqFRCLJcLWnpYkd4eE+9Gi4jQPXB3Lz5j1hn1gsxtX1nzSP27PnCKamJvz1l9Yvp2TJkohEIiZOnMiwYcNQq9U8efKcChXK4uHhlaY33plXf9KmxK9oLEwy+nJkiZww9v3sORUaobAhp0QcaAsa1BhEXG6ha52lE2+RkZG0adNGT7wBTJs2jkaNkm0N/vnnNMuXr+fZs2cYGxszdOhQHBwcmDZtGo8fP6ZmzZqULFmcwMBXKJVKrl69Tc2aLQgKcsPEJGf/PgwYMJD9zJ07l3nz5lGrVi0KFy6cbaa+hrf6LDB06EROn76IVCrF0tKMmJgYAMqWLYuRkZHgI1OkSCF+/XVEtp138+ZVtG3bi9DQUBwcHDA2Nv635VcB1Go1xYsXZ9asWdSoUUM4JjNWHVamhVCp5UQnaKtHVSqtMqhYsSxTpoxO97j79x8hEomIjo6lRo0aHD16lFevXuHv7098fDxubm7UrFkTDw8vAME3LyWt8/2MyNICUZIkxyNxuS3ixHI14n8Ld3M6Eic32IrkGhoJPF2qFW+vX7+maNGiABgZGWFsLCM+PoEKFcrQoIGL3nGdO7elc+e2nDp1kZEjp7Bp0yYKFSpEfHw8DRo0wMzMDF/fAGH8iBEjWL9+PaVKuXDr1mkcHYvm2j0aMGDgy9m4cSPbt2+nb9++2TqvIQcuC9y4cRdbW1vkcjkLFy5EJBLh5OTE8uXL2bdvLzKZlDp1arJjx5ps9XCqW7cWPXpoW3KEhb0F1EREhPPo0SOePHnCsWPHqFmzJmKxmPz581OzZk3kyvgMz29tXhwLY1ueh2gFaMOGWuuTsDCtAaFcLkcul9O8eRfq129H27a9cHSsjkajYebMmcTHxzNlyhTB10b3LaNGjRq0b9+eatWq8ccff+jZJbTO97NWvJloq59yWrzpEMclIYlX5G5T+hQ5cTlFVpupG/gyXrx4ITxXqVSUL18GB4eiXL9+It33gHbtWhAQ8JDRowcTHh7O4sWLadeuHfHx8Zibm1OvXj3Wr1/P3Llz6dKlC/HxCdSt24Z377K3IbYBAwZyFrlcTr169bJ9XoONSBYoVqwq+fMXSGXAd+PGDRo2bEjx4g48enQ5164nMTGR4ODXuLk95fHjZzx79gJ//yDBh612ib4UMHf8zCxaXkW68zzkBMHBjwBo1aoH331XHYVCwd69R/TGikQi7O3t6d69O6tXrwa0bUmaN28OwPbt2+nfv78wvnW+nwE4Hr6RsLAwBlWYKYg8kYkxSKVgbpZrIg5yz1pEOF8KixG1JPtbbylNDblwuYGwfLp8LJUrV+bFixdoNBpq1KjMwoXTqVOnZqbnnDhxNlKphMuXb+Dt7YepqSkuLi4MHz6c7t27M2/ePGbPno2FhTlHj+6gZs2qOXBnBnKCb8FGpPy+KTliI/Ki19I8ed+5yZQpU7CwsGDmzJnZOq9BwGWCt2/DGTlyCpcuXcfKyooPHz7o7Xd2diYoKIibN09SrlzpdGbJHdRqNUWLViExMYlyhVviZPPdZ485676A9u3bc+rUKd6/T7Y8UavVFClSGalURrt27VCr1fz444/88MMPQueJlERGRtKj+DiMRFoVcfaDNkGzdb6f8U50w1/ujgYNRaSlqGzaEPh6Ag7+WyJOafpvU3VDs/scQyfeJInwY5E4vTfle/fOUbp01lvjgPbvbdasJRw7do5Xr7Qt6ypXrszjx49Zt24d48aNo1AhO54/v/5F5zGQexgEXN6779xk7Nix7Ny5kypVqlClSpVU3RtWrlyZpXkNS6gZ5MyZS1So0IBLl65TpUoVHj9+rLf/ypUrBAQE0KVLu68u3gC6dRtMYmIShQoVwsG6xmfHn3VfAGib9ALs2nVQ2Ldw4R8kJcmZM2cO+/fv5//+7//o0aNHmuINtDluOvEG0NSyJ2VMavFG4Ueg3AMzsfYP+bXCB7UmYx51OUluL6em9InL7uVUSUKyoazBWiTnEKu0nm/dunUTtv34Y3ucnTMW6f7k3GIxCxZM4+nTqwQHP6JduxY8ffqUcePG8csvv9CgQQNevw4lMjLqi89lwIAOuVKMXGmUzQ+DxABwd3enWrVqiMVinj17xqNHj4THx1oiMxhe3QwQHPya/v1HIZVKuX79Ok+ePEnV/uLmTW0laO/eXQgPj2DOnN959y6Sd+8iGTRonGC18TmOHz/H9993Y86c31Eqs/YJfO/eI27evAuAiYkJt3z+5n1c8CeP0RU7hIWFAbBggfYbgVwuZ+3aLRQsWBAHBweKFy/OsGHaXqdnzpxhyZIltLQaIOSyfczLxIdciz2Ed9JD3BOuokJJnFobubQxKoqI3Il6fY6vmROX3Wa/YqVWYBjy4XIGjUS7TF15wh8UKFAAgMaN67J58x9IJNkb9rSwsGDnznUYG8tYs2YNxsbG3L2r/dtu1ao7K1ZsEHoxGzBgIG/i6uqa7uPy5aynWxkWWTLAvn1HUCiUrFnzh56HmQ65XI6/vz8AtrY27N17hNWr/2b16uSG75cuXaNfvx5pzn/79gPGjJlGUNAr5HLtp+6DB4/ZunUf3bt3pHRpZ7y9/Xn69AWxsbGIxWIkEgkSiYQCBfJRtmwp8ufPh7V1fvbtO8L9+48BbY5aQEAAMok5D/330aDsMEyk6YexW1eZwVVvrdDUedbdvv0AuVxBVFQUPXpor/+vv/7C1dWVly9fAuAgLUcFU61NQkoRp9Io8Ze7U0hSgnImtUlQxxAk9+SN0peG5l2RiKS8U72moFHhPCHj/ksWI5IEbV9OMCyn5hRqqTb/FKB06ZI5dh6xWMyTJ1fYv/8fXF1vcvXqLQB8fPxZsGAlCxasZO3axfTp0zXHrsGAAQNfjo+PD76+vjRq1AhTU1M0Gs0XWYoYcuAyQOnSLkRGRvH+/ftU6/hnzpyhXbt2ODs74+fnx4wZExg//hdq1foef/8gYdzff6+ka9cfUs09d+4yVq3ahEgkolKlSjRu3JilS5eybt06Zs2aSWJikjBWLBYjk8nQaDRoNGrUak26UTpLSwsKFbLDFm1BwS3vv6ldoh8FzB3Svc8E+Qdue2+mmJMdbm6XAG0+zqhRUzl9+gLVqlVm3rwptGnTk4SEROrWrYVMJuXO1SdUMKmLrVR/bo1Gw8WYXZQ2rklx44oAxKgiuRV3jNpmbXmt8OGV4iXOssqUzV//q+XAfUxu58QBKM2NcqR3qloCckuDgMspPBaOx8TEBLVanWs+bQMHjuHKlVtER8foGYL6+z8kf/7/3TyjvMy3kANXctdUjMyy9/dXFZ+Ib9/FefK+c5N3797RvXt3XF1dEYlEeHt7U6JECX7++WcKFCig164yMxiWUDNAREQk9evXT/MXsGvXrmg0Gvz8/AA4duwMV6/eokmT+nrjJk+em0ps/f77Wlat2gRAQEAA7u7ueF/NR5c6i7i06wMJCYn4+flx6tQpAgICUKlUJCQkkJiYSFKSHIVCgUqlwsPDg1OnTmFvr21Z9dNPXQkKesS9e+ewNLFDqdKKQKlR6j9OoR9pbCI+Ia6IRUZs375G2C8Wi1m/fikDBvTE0tKca9du4+BQlPv3z3Hq1F6kD0tjZVSQxwmuRCnD9OaWaxJQo0ImMkatURGvjsFIpE3eVGoUxKi0dgivFC/RSCQgk2X8PyUH+S8tp6oNvnA5SoXpfzB58mQUCgWPHj3LlXNu2/Yn/v4PePfOi8BAN1q3boqVlSVJSUmfP9iAAQO5zvjx45FKpQQFBenljvfo0YOzZ89meV7D9/IMYGZmyuvXr9Pc16ZNGw4fPgxA6dKlefr0BV26JLfMcnBwwMTEBG9vb/744y8mTRoJwJMnz/n99zX/zm+GnZ1dmqa7zs7OODs707rKDKHQICVisZjy5ctTvnx5Hjx4QI0aNdi9+xB3L0TgZOOi9YyL1i51Gkst9I4VxSZqe5H+i7FaglqtpFSp4qnOc+DAMUJDwzh58gIADb7rgggRKpSYi/OhRoW//CnVJc2FY2QiE6QiY4IVXgTJX/BBHUF5E623XKjCjw/qCCzE+YlVR6HUJCGVmn/16JuOr72cml3CS6wADOb9OUr37t2ZP38+c+cu4+zZjOW6ZhdWVpbs27cpV89pwICBzHH+/HnOnTtHsWLF9LaXLl2awMDALM+bNz4t8zi2tgUJDQ1Nc9+hQ4eIjY0V2mmNGzeOhw8f8sMPP/DixQvq1avHhAkTEItFgjHuzJlLWLduKyKRiBUrVjBhwoQ05/5Y0KUl8FKKumLFihEQEEBFpxZ4v72KX/gtLE3siIp/hVPB2kiNTAFt1A2FEuRyNCmWaKf/OZrBgwezbdt+Ro7U5rI9e+ZJw4bJS78WFhZ06dKFS/tuI8YIiUjGa4U3IMJGou8QLxKJqWLaGK/Ee8SqowAIkfsAIt6rtNG6/EZ2xKqjSFLFIyV1h4avydcScbp/sy0fLtFgLZITeCxMbl5ftWpV7t51o379dvTt241hwwZ8vQszYMBAniIuLi5dyy1j46xbtxhy4DJAtWrNCA0NExKWP8bd3R1HR0fy588PaBObzczM0Gg0yGQy5HI5YrGYwMCHNGjwA4GBr7C0tOT+/fuULVtWmCczba8+R1xSJKEfPEiQR1E4f0UKWiRXzYqSlBAXDwqFnoBTa9RcVxwgMTGROnVqsmLFPEqVKk7hwpVQq7W/JoMGDeLVQX3rD6VGgVKjwESctq2IRqNBoUnifvxZ5JoErI0KE6YMopisDKWt6nAj8gD2pqUoXyJ1jmBeIDdz4tQyMUpTMQozkcEfLo+TUsDt3r2bgQMHolQq/+2U4pHtFakGvl0MOXB5775zk7Zt21KzZk3mz5+PpaUl7u7uODk50bNnT9RqNYcOHcrSvIZ3mAwQExODhYVFmvt69+7Nvn37AG0TeQ8PD2xsbNDpYrlc2wTT2jo/o0dPIzDwFUZGRmzevFlPvGUVlVqJSp2ETGKut93c2JqSdqkrZgVkMvio6bYGNZXETVHXeMudOw+pX78dtWpVo55ZF1QaBffjznJix0WqmzXTO04ikiIRpb/mJxKJkIlMqGBSlyC5J+ZiKyQiKQVMihGqDESpViAX5d38nVzvnarUIFaKsjV/TWcpYsiJyx7292hO3bp1+fPPP5k6dSqXL1/G0tIStVpNbGwsAweOYdeu9V/7Mg0YyDBqpRiy2bdNbfCBA+D333+nefPmPHjwALlczuTJk3n+/DmRkZGCBVlWMAi4z+Du7kFkZLKFxsekXFp99+4dq1atYtGiRbx//54XL14wffp0rly5QkREJEePnkEsFuPt7a3nI5eVyJtSLeflm0u8jnqGSi3H1taG/fsP0KxZsrj65Lz/Cksdiep47sSdIEkTj417UQ4ePMjatWu5evUq8BgACVJKGVfL9LXqKCCxp4DEnmjVO4IVnjyJ1ubTOeavQXH7ulmeNzfQiTi1VPuGpJYa5YiYE8vVgBgjuSZbuzToDIMlGCJxGcFj4XgqTP8j3X1Nmzblzp079OvXDy8vL8RiMWZmJoSGalMDYmMN3mwGDBjQUqlSJV6+fMnatWuxtLQkNjaWLl26MHLkSAoXLpzleQ1LqJ+hSpXGBAe/JjAwEEfH1C7rcrmcgQMHsnfvXgDq16/PjRs39Mao1WqCg4P58OEDZcqUwcTEhH379jFz5kzM5ZUpnL/iZ69Dl+t248YNevfuzatXr9BoNDRs6IKjYzEOHDiGRqMhMjJSCFWnJeDSWz71T3qKd9JDOnVuw7FjZzE2NiY+Ph5/f3/279/PvnlnsJYUxkRsnmrOzCIy0ValxkgTkFrmx1SW74vnzC00UiPhucpchtIsZ1RQyqVUMLTbyi1SLosC7Ny5k99//53Ehh2QWdsK+/38/Jg4cSJjx46lefPm2NhY4+V1m+Dg12zduofx44f9z71XGkifb2EJ1XnbdMTZvISqjk/Ef+DCPHnf/wUMb9+f4MGDx/92YeifpngDkMlkmJqaYmJiglgsZv78+anGiMVinJycAK2o0mg0XHqxFJVKhaVJzGcFnE68qdVqevTowevXr6lQoSyzZ/+Ks7Mja9duQSQSoVQqiYqKEv5QzrovoE3Z3wDQGEsE8aaJiU11DgujAmjQcObMZdRqNZp/W1w5OzszadIkqlWrxu7duwk9kYRU9AVJl//2PBUjJZ+5NRrZt/UrKFKohOdGcdooZk6IOLFc/e8fZ7KIy7a5DcupafKxeANt+X9kZCQ1jI15+PChsP327ds8e/aMpKQkNBoNYWERnD9/hZYtmzB79qTcvGwDBgzkcbZt24aFhYVe6z2AgwcPEh8fT//+/bM077f16ZnL2NoWBGDfvn2cOHGCPn36sHz5ciIiIihSpAigbaG1ZcsW4Zi//vqLpk2bCj/romApq0VFIhGlbJvyOuoplYq1S/f8KY9Rq9W0adOG169fkz9/Pm7ePMncucvo0WMIAPnz52fAgAE4Ojpy/PhxQkJCGD58OGe8lgDQptiYVDlvKbExKkq/fv24desW+fLlY+nSpajVavz9/SlXrpzgYWdiYiIUc9hKHKhu2hyRSIRao+ZF4m3Cla9QaLSRPTUqLMT5qWfeSd9tWiYDqSTPWIZkFZFClYsiLmeWU5Umhihcepw7d47ISK1XYcrm04mJifTt2xeNRkPr1q2F7fXq1cr1azRgwEDeZ/Hixfz111+pttvZ2TF06FCDgMsJnJwcEIlEyOVyIiMjWbNmDWvWaL3bfHx8KFmyJL169QKgTJkSvHzpR0RERJpzfbycWdzWheK2Lp+9hlevXjFw4EBcXV1RqVSUKOGIq+tRAK5cuYVIJOLcuXN8//33JCYmUr9+fW7d0rbaCQgIYOnSpQBpRt1SIhKJ2LFjBwCvX79m1qxZrFmzhmPHjgljzMxMiY9PwMLCnNjYOMKVwSRoYjETWRIsf8ErxctU86o0yRErkYkxmJujsfjvGJN9yyJOrNQupaoM7wJpRt/++ecf4XmfPn2E5w8fPkSj0fDTT12JiYnl2DGtEaeh6tSAAQNpERQUlKp/OoCTkxNBQUFpHJExDO84n6BTp/6klyIoFos5efIkwcHB5Mtnxf/932Y6derPpUuXqFy5MgqFgmPHjglRtMwUKijVcmISwqhVqxZubm5oNBpKlXJm0KDeDB3aD7FYm0hftmxJHj9+Rtu2bWnWrBkXLlz417pEilyu4Pfff+f48eM8ffo0U/fdsWNHHjx4oLdt2bLZnDp1gStXbhEbGye8BufDd9HJfgRWRjbIRCbINYnYShwwFplhZVQQe4nTF/V6+xbIDREnlooQK0VkZ79UteGvP10iIyNp0qQJRkZGfPjwgZEjRwr7Bg0aBMCoUYMoW7YUlSo1IiTkDX5+QVSoUOZrXbIBAwbyKHZ2dri7u1O8eHG97U+ePKFgwYJZntfwFp4Ov/02n6tXb1GvXj3u3LmDo2NRHj26TNWqTQgKCqFatWrEx2srzZo1a4CTkwMnT+6hdu1WPHumbalTrlw5fv/9dyZNynhOjM/bq/iGaYsgxGIx5cqVYs2axdSsWTXV2EWLZnDgwDGUSiXnz58XtsvlyUulnp6eXLhw4bPnPfthq/A8LcPBSZPmCs+NjIyYMWMGs2bNEsRkAYk9TSx6okKZrqXIm0QfgqO90BiJKFOoGflMtdU3oR88EYvE2FiWxEj8bSZm5biIU2j+rUzNPjEsVoJYBWqlYRlVV3F689cBNGnSBHd3d2HfoEGDhN9zAF9fXywtLXBw0KZRuLtfwdc3gNKlS+TuRRswYOCboFevXowZMwZLS0saNWoEwNWrVxk7diw9e/bM8rz/42/b6fPgwWMATE1NUavVlClTEoARIwby228LiI6ORiSCo0d30LhxPQCKFi1MSIg7BQqUBrQCbPLkyanaZ6RHVHwIvmE3sbMqw/T5/ejZszOyT/QHtbbOj7v7VWbPXsrTpy/w8fEHYNq0cZQtW4opU+YRGhrGjBkzePjhIW3sh+tVnoK+cNNhZ2eX7jmNjWXcuXOXatWq0Trfz3r7RCIREtIWYB9UETyJu0h+kyJExb0m6N0D4pMi+ZCQ3KJMamRKjeI9yG9WNM058jo5KeJ0UTjI/oIGQy5cMg0aNMDDw4N69b6jffvvWbDgD7Zu3UqHDh3o0KEDAI0bN+bSpUv07DmUo0d3IhaLDeLNwDePSmGERmH0+YGZQJ3N832rzJ8/n4CAAJo3by6kWqjVavr168eiRYuyPK/BZS8dVqyYh0Qi4dKlS5QtW4pdu9axZ88hNm3aKYzZuvVPQbyl5NSpPWzb9icdOrQC0Msj+xSJihhAQwEzB06duoiTUw2mTl34yWMcHIqwdetqrl8/zuTJowgPf8GkSSPp0KEVYWHhAHh7e2sHS6WILC20uWj/EhERQePGjSlZsiQymQwLCwuePHmS7vmSkuS0aNGCKVOmpCn+dMg1SSSoY9FoNLwlBI+k2/9egja69ybqmZ54q+b4IwpVAgnyqE/eb15HJ+Ik8cocmV+sJFub3Wvn07bbMkoAUc5c9jdBjPdzPDw8kEolnDixm+HDB3Lu3P8hlUro27evMO7ixYuUKVOG69fvUqpUbTZu3I5arU41X+vWPbC1LU9gYHBu3oYBAwbyGDKZjAMHDuDp6cmePXs4cuQIvr6+bN269ZNBms+RKQGna6eUXkupb5E7dx5SrFhVKlZsKLwJnz9/haQkOW/fPsfD4wYNGrhQpkxdRo2aip9fEBKJBHNzMzp1apPmnKVLl2DgwDEcPXoGCwsLZs6cmWYj+o+xtyqDk5MTXqGXOH/+ComJSWzcuF1Yqk2L4ODXPHvmiYmJCVOnjhXU/fTpi4T/rx9++LdFVYpflLMftnL2w1YGDx7MtWvX8PPzQ6FQEBcXJwi+6tUrc/ToDlq2bKJ3znfv3vH7778TFBSUpoiTqxO5FfsP12IP4it/QpzqPdFKbXGHrh9rSqo6dsFYou10YWFi+9nXKa+TUyJOrNBg/EGFND77BFxa/C+KuITXgbw6uAWZTMqjR5eFJdNKlcrxww+tiI6Opm3btsL4Fy9eMHXqVBISkpg6dSFOTjUYPnwSV6/e4t69R3z/fTfu3nUTqrcNGDBgoEyZMnTr1o327dsL1mJfQqYEXIkStShatApFi1bFy8vni0/+NTl48DglS9amTZuexMXFExoaRtu2vbC1LU+PHkNo1ao7Li6tWblyI3fuPODDh2hA28xdqVQydGi/NOd99syTChUaAtqlyLdv31Kxotbn7az7gk8KOZFIjJ+fn1Bu3KFDKw4d2ppmTpqO7777noYNf2DChFl620NC3gjPP+6zlnIZVWc6vG3bn8ydO5kmTeoL+wYP/olOnfpz/vyVNM89duxY7X19JOLeKgNI0iQAIFcnUFxUHqN/l1adbFxoWWkalYq2p2iBKhS3qYsIET5h1xCJjAQh962TEyJO26Xh3+c5EIUT/1sw/L+2lKqIfk/k/euANn+0cuXG7Np1UNi/ceMyAO7fvy9sE4vFLFq0iLi4OGbPno2RkYT9+4/SqVN/WrXqzsOHyVHsDx9iALh48So//vgzEybMIioqOjduzYABA3kAlUrFli1b6N27Ny1atKBZs2Z6j6ySKQFXo0YNQIRaraZevbb07z/qm3wjevs2nKFDJxIZ+V7YVriwvfCNecyYMbRq1YqAgGA2b97N8+dewrhSpUoB8PjxM705IyOjWL16E02bdkKtVnP+/Hnevn2LmZkZoaGhTJs2jQkTJvD8+XO943SiTvcQi8WoVNpP0qpVK9K8ecNP3ouLSw0Atm3bx08/DRe216pVTXgul8tpVnI0SJM/mXX5axKJBIlEQvv23zNmzBAOH04WY6dOpS5+GDo0eSkpZVm0LqJ39sNWjEXJUbbOw1sSWOQOKhTUKtodK1N7RCIRNpYlCXnvTkDEbR4HHSYmMYxqjl2QSdIXq98aORaJU2Z/BE78PxwoenVoG9HP3YSfNRoNS5asFn6WSCTUrFmViIgIoUBJh1gsZs6cOURFRREQEMAvv/zCL7/8gr+/v1D9vWXLHqpXb0a3boO5fPk627bto1q1phgwYOB/g7FjxzJ27FhUKhWVKlWiatWqeo+skqlWWrp2GDt27GDWrFkEBQVhZGTEwIG9WLhw6het5eY2W7bsxcPDi61b9+ptt7KyYsyYMezatYvXr19TpEgRbG1tCQwMJDIyEi8vL/r06cPdu3eZOHEEkZHvOXz4JNHR2m/ZIpGIpk2bsnXrVq5fv86CBQvw8vLSO0eXLl0AuHDhAlKplGrVqlGiRAmmTZuGs7MziYmJ2NjYEBcXx5kz+3n/Poo2bZoTHx+PmZkZa9du4cyZS/j5BQq9FytXrszTp0+RyWRUrlyOv/5aTq1aLYVzjhgxAr8zpiCXo4mJFaJmUqmUMmVKcPPmKWHsgAGjuXnzHk+fXuXEifP8+eff1Kv3HQDbtx9ALpezaNEifvvttzQtQgIDA6lVq5aeJ16DBi6cOLEbgK71/+JV5CPi5JG8inyEU8HalC3c4j9rN6KRGmVb2y21TPudKymfUbb2SoX/zRZbGpUSz6WThZ/L/roYjVrNkgZFKFHCCScnBwCOHz/HgAGjEInEbNiwgaFDh2ZofqlUqreMWrduLayt81O37neMHPnzJ4408F/iW2il5bhpVo600goaOi9P3nduYmNjw86dO/XSMLKDLAk4HefOnWPAgAGEhoYiEomQyaT06dOVmTMnkj//t/GfNXHi7FQiDsDISIyTUzH8/YPRaDQMGzaMDRs2ABAVFUWJEiV4/14bwStYsCBNmzbl8OHDqXzjjIyMqFGjCrNmTcDKyooBA0bj76817suXzwqpVEJERKQwXmc74uXlRbly5YTtEokEpVLJhAnDOXr0NH5+gXrnqVKlCs+fPxeid4MG9WHLlj3CcbWc+2CiNuFm4DZKlS6Jp6cnYrFY7wNm5MiBjB49BHv7tPPQatZsjp+f9tpv3bpF3bppN6C/ffs29erVw8nJgSFDfqJSpXKYm5tRuLA9RYsWpnv3wVy4cBUAW8tSVCzWHmPJl/dYzctkt4jT9UnNTgGnFYT/eyLu/aPbhJ5JXjIVGRmhUan+jbxV+ffvREKzZg1ZsWIDMTGxPHv2TEiN+BRGRkZ6BQ7h4S8Mhr//gxgEXN6779ykSJEiXLlyhTJlstcn8osEnI5t27axbNkyXrx4AYCJiTEXLhyiUqVyqcbmVd68ecu+fUcwNzejZs2q1KihfeOOj4+naNGqVK9eHTe35GWWVatWMX681r09JiYGCwsLChUqxNu3b/XmdXO7iLNzcrKiu7sHjRt3BGDJkhn88ou2hcbx4+fo338UAF27duWPP/7g7Nmz3Lx5kw8fPnDnzh3evHmjN3e3bt04eFD7wWNsbMylS5fYsWMH27ZtQ6lUIpPJuH79OgUKFGD0jztIioviit86QOtB06hRIzp37szRo0f15m3atAHXr9+hX7/uNG5cjw4dWvH2bTiPHj2lV69fAJg8ebLQ5eFjwsLCsLe3x97elnr1vuPChauC+a+um4NIJKJOyYFYmhT6z0beUpLdAk4tFZFkJc5WAQdaEac0AVXqWpP/FLrOC5GRkVhbWxMbG0v5QeNJCntDQkggqle+JCUlIhJpI566L0Y6Tp8+TZs2aRcxpWTmzJkkJiYSFxfHhg0bsLUtyPXrJ9L9kmTgv4lBwOW9+85NVqxYgZ+fH2vXrs3Wz7tsEXA6zp07x9WrV1m6dCnm5mZMmzaWI0dOs2XLKsH08lsjJOQNlSo1wsHBgYCAAD1Dz1mzZlGyZEmhj5mXlxejRo3i7t27xMTEsHLlPAYO7JVqTqVSib9/ECVLFhfmO3/+itDXFLT+c2vWrBFc30Gby7Z27VoCAwOpWbMmP/30EytWrODp06f8/vvvFCpUCNBGCP38/KhWrZre9QKcOHGC58+f89tvvxEbG8v169dJTEwkOjqaAQMGpPkaiMVivSjCoEGD2LRpU6q5U9KsWTOuXLmCRqMhf/78NG/eHF9fX/z8/GjSpAmrVq0Scug+7lKhUisIfueGVGKCnVVZpEbffustnYBTS42+WHTpBJzCTJzty6j/KwJubfOqDB48GH9/f/Lly0e+fPkI10hICPYTxhSo2YDIB9rihvj4eMoOGEPi2xAkpua8OXsovakF7t69y9KlS1m/fj2FChWiXbt2nD59GolEQnj4ixy7NwN5j29BwDlsnIPYNJsFXEIiwcPm5Mn7zk06d+6Mq6sr1tbWVKxYUa+3MsCRI0eyNG+2CjgdKaNTADY21nh73830xa1du4WFC/8gMTEJmUzKmzfPPikacooBA0Zz7NhZqlSpws2bN7GwsKBNmzacPXsWqVTK3r176dq1K6D9Rl+wYEFEIhGRkal7g6ZHYmIiXbsO4vbtB1SsWBZvb38SExNp0aIFdnZ2lChRAnNzcz58+MDNmzfx8PAgLi4OY2Nj7OzssLGxET6I7O3tGTZsGOXLl091HrVajVgsJjo6mgIFCqBWq5HJZJQqVQoPDw9AGwHcsWMHgYGB7N69m2vXrlGyZEmCg4Np27YtTZs2xdHRERsbm0/eU0BAADExMezevZuTJ08SERFBtWrVKFCgABs3biR//vyAvoCLTYzgju82VGqtIW5+s6K4lByQ4dcxL6M2N0ZpJs0WwZXTy6j/ZWPfFQ3K6eWi6L4Ra98KRZQZP5+ImxeIcr9HoPdLwYhb160hJbpInm5fyp6qunnXrVvH1KlTiY+Px9jYmLi4ODp1asO2bX/myP0ZyHsYBFzeu+/cZODAgZ/cv23btizNmyMCDmDAgAHs3LlTyAnr2LE1p09fpEWLxuzduzFDc+g6GoB2WfbNm2efGJ2zDBo0jiNHTmFmZoabmxutW7cmICAAIyMxKpU2OiWTyZDLtcKjWrVKuLr+86kpP0l0dAxVqzZJs8pXJBJRsGABbGwKEhsbR2RkFHJ5EiqVWni9pVIpQUFB2NnZCaL32rVrNG7cmMqVK+Pj40NCQgJisRiRCOEeQLscm57X37x585g9ezYAhQoV4unTp6mE3L59+1i1ahX37t3Tu+aUv2pDhgxh06ZNese1rjIDt4ADhMdoLWpkEnNMpfmpU2pARl+2PI1GaoRGJskWEZcyCqc0NSyjZhSPheOxt7cjLCycDRt+p2fPzgDExsYydOivzJ8/hb5HnhHr50nw/k049R2NmUPqJtRpoVGpSAx7jbFtITyXTubIkSO4u7vTq1cvIZ9VF83O7Bc8A982BgGX9+77v0COfcfeunUrhw4dQiQSERcXx7FjZwHw9fXP9FwymZSQEPfPD8xBtmxZRcuWTRk+fBIVK1bE1FT76ZZS+OjE27hxQ5k9O+P9Tz9GrVbTu/cwQbxVqlSeDRt+JzY2DgsLcypUKJNuJDIyMoqSJb9DoVBQuHBhCkgLUyt/O4xEEt45PQTg5cuXJCUlMXr0YObNm4KnpzcLFqzk1KmLAGm29hg5ciTr16/X2xYaGsqKFStYvHgxoO048ejRI5YtW6ZnPlyyZHEePLjAmzdvmT59Ef/8c5patWqlOsdZ9wWcPFmHxYsX4/v8PRqNCmfb1J0uvlVECm0elQS+WMRpPeFyNhot+kZ7pKaMgqWMmnksHI9arRY6lAwfPpmXL/2YNWsiFhYWwhfLW5OcKdv1CgDSAhlvNB1x8wIRN7Q9iTcUt2T48OFCxfl3333H/fv3hVQEjUbD27fhhlw4Awb+hwgPDxdcKcqWLYut7Zf9/efYJ4BYLCY2NpaYmBh27kxuP/XypR+//jrns8frepEC/P33H19l6fRjevToyKBBfVCpVMTGxgrbly2brZeY6Op6M8vnUKvVLFnyJzdv3sPcXFuZ6ePjT2DgK+rUqUmlSuXYv/8ozZt3SdPlXfe62dhY07NnJ6IUb3klfwlSKUuWLMHZ2ZmkpCRsbW2YM0crMsuVK83u3RsYNmwAoM2/u3btGt7e3qjVaurUqaMn3nx97+Pv/xCpVMrhw4cBGD58OJ06dWLu3LkoFAoAPD1vMXBgL65dO8azZ5707z+af/45TcmSJRk8eHCa99++fXtu3rxJNccuVHfq9s32Rc0tjOSabDX1/S9x+/ZtxMe2YHfzGI9nj2TWrFmpqsDWrUvdSWTXroOEXTpOiRIlkFpkPGqQr1JN4fnUv7briceU0YcCBfLj4FCUfPksM3M7Bgz8T7Bu3TqKFy+OiYkJLi4ueis5aXHw4EHKlSuHiYkJlStX5vTp08I+hULBlClTqFy5Mubm5hQpUoR+/frx+nVyG8eAgAAGDRqEs7MzpqamlCxZktmzZwsBGd0YkUiU6nHnzp0M3VNcXBw///wzhQsXplGjRjRq1IgiRYowaNCgT3Za+hy58v06LCwMkUhE/fr1uXfvHlu27MHV9TpJSQru3Tur12nA1fUGQ4dOFNzLy5UrLfQUzQssWzYbCwsz2rdvSc2ayQZ8hQrZ0bfvSAB++21MluaOjY2lWbMf8fbWJlKvXr1aG43y9eWnn4ZToUIZ6tb9ji1b9gBw584DGjSoozdHy5ZNuHfvHDMHXeP9c8hn9oAoUSQer7T5NomJiZibm+HhcT2VKO7QoRUbN25n5MiRwnKnt7c3d+/exdzcnEuXDvHq1RusrfNz6tRFFAoF1apVA7RVrRKJEbVr1+DWLa1j/V9/7aRJk/p4e/szaNA4fH0DKFWqFHfv3tU7t1KpRK1Wk5iYyOjRozl+/DixsbGoVCpqOPXA0rTQf95mJKuIlRrEShFq6efHZpZvLfqWMvKmVCrp0KGD4EVobGysN3bx4um0atWUggWtU81z/Lh2teDRo0fUWbolw+eXWdtStMsAQo5sx9jaTm/fypUradu2LSEhITRqVIft29dkeF4DBv5XOHDgABMmTGDjxo24uLiwatUqWrVqhZeXF3Z2dqnG37p1i169erF48WLat2/P3r176dSpE25ublSqVIn4+Hjc3NyYOXMmVatW5f3794wdO5YOHTrw4MEDADw9PVGr1fz111+UKlWKZ8+eMWTIEOLi4li+fLne+S5evKhnH1SwYMYi9BMmTODq1aucOHGC+vW13Y5u3LjBmDFjmDhxomBRlllyLAcuPbp27SpEbQAWLJiqZ2j5xx9/MW9e8ov28uVtbG0/nSyf19BGx1RcunQ4Xc+nXbsOsmvXQapUqYCFhRk+Pv6cP38FhUJJjx496N+/P0tXa5eN1Wolr4Pv4Ot5EkjOo5k7dzJjxgxJNXfPRtuF5/f8dqHRaHAp2Y+z7guwt7cnNjYGL69bKJVqxGIRz5978ccfG7lw4WqqitNnz55RqVIlmjZtwJEj2kTLxMRESpVyQS5XEBERgZWVFba2thgZiahYsRyXL1/H2NiYpKQkvesqXbo0L1/q5/1cu3aN77//Xu/bTsGC1rx7F6k3zt6qHEZGMorbuGBpkvoP+Vsiuy1FkvIZZWse3LecA+excDxLlixh7ty5JCYmMnbsEEJCQgkODqFbt45s3LgdHx9/HByK4u5+Jc05ChYsg1qt4f3799Rblvnk4qR3YcgKFEQkNtK7rmfPnlG5cmUAbG1tuHfv3Dfjl2ngyzDkwGXsvl1cXPjuu+9Yu3at9ni1GgcHB0aPHs1vv/2WanyPHj2Ii4vj5MmTwrY6depQrVo1Nm5MO9f+/v371K5dm8DAQBwdHdMcs2zZMjZs2ICfnzaYEhAQgLOzM48ePRKCFpnBxsaGQ4cO0aRJE73trq6udO/enfDw8EzPCTmdRJMGum/CuuVBnamtjpEj9as1EhL0RcC3gJvbU9zdPahfvz2nTl3ku+9acvz4OWH/sGG/MmbMNO7ff8SWLXtYvfpvTp26iI2NDQcPHmT//v2CeAMQiyUUc2rA27dvefLkCaNGaf3iatX6fAsOC2Nb4pK0UYjWVWbg6OhIfHwCDg7VcXauiZNTDdq27cWFC1epUKECL1++5NKlS5w/f564uDhCQ0MBiIh4x4EDxwBtF4u4uHh+/fVX4Y8yKuo9hQrZERUVhZGREZcuXaJevXq0bNmSAgUKULp0aW7dugXobFS0uZA9evRALpdjbq6Nwjo4FMXHJ3XF8rvYAF6/d+eW9994vblEfNL7z/aWzatkd4stI3nOLKF+i03te/bsydSpU5FIjFiwYCpz5kzm779XcvbsAQYN6i184QkODuHgweN6xyYmJjJlyjzUag2mpqZClXRmMS5opyfedFSqVEmwDwgPj6B//5FZmt+AgW+N6OhovcfHX+5Bm0P+8OFDWrRoIWwTi8W0aNGC27dvpznv7du39cYDtGrVKt3xAB8+fEAkEn3y7/vDhw9YW6eOznfo0AE7OzsaNGjA8ePH0zgybeLj47G3t0+13c7OLu8voaZk165ddO3alWPHjrFjx45Ugu3Dh2isrCyJjo5BJpNSpEjqm87LpMzve/nSV+hP2r//KFxcavD48TOSkuSUKVMGV1dXxGIxHz58wNnZ+bOtyLr300YDvJ78H+bmZtSrV/uT4xWqRMKiX2JrWUoQOnL5LLZv386tW7cQiUSYmppiaWnJiBEjcHLSGg6XLFlSmEMn4J4+fcGwYb8ybNiviEQixGKx4FGnVqtRKlU8f+6FSqXC0tKS+vXrc/Omfi7gixcvGDJkCCdOnEClUjF48GCh2rVlyyb8889pgoND9I6pUqUCgwb1ZuzYZKuRgIg7BEXeQ6lc/U262uuqUdXS1B/yWUGs1CBJ0GS7J9y3yJnn2grmkiWLp9mqqkePjowdOw2NBn755VfmzFnGlCmjKFHCiY4d+6FWa7CwsMC25/A0bUOyim4uU1NTIUf02rU7KJXKb/J32MB/D41ChEaSve8fGoV2PgcHB73ts2fPZs6cOXrbIiIiUKlUqYSOvb09np6eac4fGhqa5njd59bHaL+kTaFXr17pRgR9fHxYs2aN3vKphYUFK1asoH79+ojFYg4fPkynTp04evQoHTp0SHOelNStW5fZs2ezc+dOTEy0Uc6EhATmzp2bbkejjJDrETixWEznzp2FNlRv3uh3Lmje/Eehr+j8+VO/6M3t9u0HtGvXW295LqfZtesgRkZGBAcHM2HCBL19d++6YW9fSGhqX6RIEboP3cWQScdp0XU1TVovFR6f4v3796jVap48eZ7uGI1GzW2frShUCZS0byRsl8lkDB06lHHjxlG+fHlEIhH79u2jdu3adOrUiaCgICIjIxkzZgyWlpb89NNPAJQqlWylULx4cTw8PAShJxaLGTBgAEZGRmg0mlQh5rt37zJmzBgqVKjA0aNHUalU2NhYs3nzZhISEgCtgDt6dAd//KEVmuvWLcXOzoYuXdpRunSyoBw7dggdO7ZGrVZjZmaGqakJc//+4ZuKxIkUKkRyJWKF6vODP4NYrkas0ORYFO5bw7ZRa/LXqMeTJ89ZsSJ1XolMJmPFinmAthL09etQxo6dwQ8/9EWt1rB161ZiYmIwsSuc7dfmsXC8njE3kOY1GjDwXyM4OJgPHz4Ij6lTp+b6NSgUCrp3745Go0k35ywkJITWrVvTrVs3hgxJTk+ysbFhwoQJwhLvkiVL+Omnn1i2bFmGzr169Wpu3rxJsWLFaN68Oc2bN8fBwYFbt26xevXqLN/TVyvtXLJkCRKJhG7dkl+k27cfEBysrQ6xt7dl6NC+WZ4/Kiqatm17cevWfb3ly5xi9epN3Lp1D7lcjkql4sqVK6xYsYKHDx8KYxo3bkxgYCArVqz4ImFarko/EhOTaNKkE/Xrt2fUqN9wd/egZ6PtQv6bWqNGroyjmHU1zGT5hWPPnDmDiYkJ1atXZ8qUKaxfv56wsLeoVAqOHTuGk5MTBQsWZM2aNUilRowcORB//4fcv38eB4cimJqa4ufnR9myZfWuadu2bbx7947Lly/j6uoqbJ83bx516tRhzRpt0nahQnbMn/8bN25ocxZ04nrz5t00blyPAQN6ANC7dxe8vG4zduxQXFxqMGhQHx48OM+cOZP56SetabJCoSAxMUkIZX9LIg5ArFBnawVpthr6fqO9UGX5C1KoZRdMixZnyZ9bKViwLAUKlKZr158FCyM3t+T0hJTV40WLFmWZT1S2Rt4+ZuXKlSQlJREXF4epqSm7dh38/EEGDHzjWFlZ6T0+LioCrUgyMjJK1Y7y7du3Qpehj0mrfWVa43XiLTAwkAsXLqQZfXv9+jVNmzalXr16qTxK08LFxQUfH5/PjgNt+oS3tzeLFy+mWrVqVKtWjSVLluDt7Z2hnsrp8dUEXPny5enTpw/x8fG0aNGVli2707FjP2H/pEmjvmj+Bw8eCc9NTFL/smQnvXoNZc6cZXTs2F/YpvuPrVGjBq6urgQEBHDlypV059D6emWM/NYlqdd0Fo0bN+bFi5fs2XOYZs26EBHjh1qjncdILMFUlh+1Rhvl0XU7+OGHH0hKSmLUqEHs3buR5cvnEhT0CB+fe1y+fITOndvy009d2b17Az4+93j37j3Hj59h7NjpiEQiEhIS9Mq0U2Jubk7Tpk2FCtNLly4xe/ZsbGyScwmeP7/OqFGDsLe3ZdCgPkK1a8oIX6rXRixm+fI5lCypHdO0aQOcnZOTT1Mmhury4vK6mMvOKBxol1ENaBGJxRRu2x2JuaVQkHPp0nXq12/PkSMn2bNHW0RlZ2fDjz+2B2D58uUZfjP+UmQyGWZmZjRq1IiQkDcGEWfAANq/i5o1a3Lp0iVhm1qt5tKlS+kuM9atW1dvPMCFCxf0xuvEm7e3NxcvXkyzcjQkJIQmTZpQs2ZNtm3bliHbssePH1O4cMYj9WZmZgwZMoQVK1awYsUKBg8eLPjJZpVcr0JNSVhYGHXr1iUwMBCRCMzMzJk7dy7jx4/H0bEoT55cyfLcarWaggW1UaLAQDesrL7cc+mvv3awdes+7O1tEIuNiI2N4/lzr1RdC9q0acPJkyf1fglqDk39rV6SoEEanxyFyYyIA5DEKxFHxhAW441f2E1iEt9iZVqYSkXbIZOYc8VzNZWK/UDRAlWEY849XQhA48Z1OXp0Z3pTAzBu3Ax27DiAjY01ERHJVaEpG3l7e3tTp04dIiMjEYvFjBs3jhUrVgBQsWJFPD09efnyNps27cLWtiCDB/+kdw5dt433770/e7/Pnnny66+zefDgidBcfPz48TRr1ow+ffpgZ2fH6dOnKV26tN5xH/dazStopEYo8ptmS+RMaW6Ubb1RdVWo32oUTv4+gtBzR7Bt0g6xRIKRiRnjy9kyYsQIAIyMjFCpVJibmxEXF0/hwoXJ139CmoUH2UlKmxPQRp+NjY3p3LktW7dmfRnFQN7nW6hCLbZmbo5Uob4aPTvD933gwAH69+/PX3/9Re3atVm1ahX/93//h6enJ/b29vTr14+iRYsK5vG3bt2icePGLFmyhHbt2rF//34WLVok2IgoFAq6du2Km5sbJ0+e1MuXs7a2RiaTCeLNycmJHTt2YGSU/D6gi+Tt2LEDmUxG9erVAW3v0pkzZ7J58+ZPtsl6+PAhv/76K8eOHUt1/x8+fKBTp06sWrWKqlU/X5CYFl/17dnOzg5fX99U2ydMmEBUVDT//HOa3bsPMXx4f+rV+07PL+5z7NuX3Bw2O8RbrVrf4+sbgJGRkeDTptFoKFy4MLa2tri7Jy/LzJw5UxBvaQk3IFm0fUK8nT8+PlVhgy4/7srZKcK21lVmYG9Vjsi4QJ6HnOaWz2YkYmMkYmNsLbVi5qz7Avbt28e53tpjKlUq98n7jY6OYceOA4B2OVsn4EQiET/+2AVPTy+KFStG48aNef/+PS1aNOLixWscPHhQEHC+vr6o1WoaNPiBu3fPIhanFhb79v3F4cMnU21PSVBQCC1bduPtW22pdbly5ejRowfDhg1jzZo1dOjQAY1GQ3R0NFWrViU0NBQrK6s8K9xSoo3AfXmDe7FC+2VAYSYGNNkiCr9F8Qbw+vgeEkICkea3pnBr7XL78OHDKVGiBDt37mTcuHEMHTqUx48fU6ZMGcSdh+S4eIPU/VJlMhmmpqZ6puUGDPwv06NHD8LDw5k1axahoaFUq1aNs2fPCsIrKChILzBSr1499u7dy4wZM5g2bRqlS5fm6NGjVKpUCdBG1nQpNh/nZru6utKkSRMuXLiAj48PPj4+Qt9jHSnjW/PnzycwMBCJREK5cuU4cOCA0AM9PVasWEGzZs3SFK/58uXj+++/Z9myZezevTvjL1IKvmoELj169+7Nvn379LY5OTnw+PHlDM/h4tKaly+14jAj0Z1PofWiqU58fDyWlpbY2trSuHFjqlatSuvWrSlcuDCVK1cmKCiI77//nvPnzwvHpifgQPehq+HWgYkATJw4kcOHD/P+/Xvi4uJQqVSYmppgZ2ePWq3G3NycDh06MHPmTCwsLIR5UgoVtVrF22hPIuMCKVqgql4ng2evTvHmwxP8/R+mKWrv3HlIwYIFePXqNf36jSI2Ng4gTU+3qVOnMmjQIEqVKoWpqQlmZma8exfJrFmzmDt3LgCFCxfWqwaSSIwID0+7muhT1K/fDg+Pl9SuXZvt27dz5MgR5syZg1qt1vOsK1OmJC9f+goVTnldwGVnBE7X3F4lE31xFO5bj8D5bfqdpIhQCv/Qi/yVv9Pb93EUDNJuUp8V5FGRJL4JxrJspU8KwpTX0LJlSy5cuJCup6OB/waGCFzeu+/coGTJkvzzzz9UqVIlzf1Pnz6lY8eOgt9cZsmTAg60LsUzZszg6tWrgPbb6tu36Vdd6pDL5XTo0Je7d92EbV8q4EAr4mbNWsL+/ceIj48nISF52dTJyYn169fTtm1bYdunhBuAWqkg8e0r4t74sW/NVI4cOcLKlSsxMzPFxsYaW9uCODoW4/TpSyQlJWFpaUFSkhy5XI5IJKJu3bqULl2a0qVLM3LkSPLnz/9ZwfIwYD+xihAmTBjGxInDU3VDKFSoIiqVWjDzHThwINu2aa1LPm5GX69ePa5fv84PP/zAmTNnkEqlTJgwQQhtA5iYmOgJv/btv2fXLv1+qukRGBhM06ZdeP8+CtAue+3atYuffvpJT7Sl5MqVozRrpu09uW3bNvYuz9vNwrPb0De7Bdy3aOQLEP/Kn4RXAVh/1wiRkb6QSq9PanYQeuEf3t+/jn2LTljXbpTuuJTXEB8fj42NDUqlgrCwF9l6PQbyDt+CgHP4Y37OGPmOn5kn7zs3MDEx4cWLFzg7p53j7e/vT4UKFQQ3hsySZ79fN2jQgCtXrmBsbIxcLuf+/fOfPcbb24+WLbsTFfWBwoUL8+bNG6pXr5wt1yMWi1mwYBoLFkwDtMt6bm7uHD16mhMnztOuXTsOHjz42ZCqIiGWt08uEfHiNmqltgJz1qwEXF1dKVzYnmfPrukJq/j4eK5evU2bNs0BOHnyPIsWreL27VuCMe7MmTP5+eefUaltMBKn/1/qVPA7Hgb4smjRKm7evKuXA9e2bW9UquRG2ytWrGDChAk8ffqUly9fEh0dLYzNn9+KW7duUa5cOW7duoWNTdqdMpydnfX8e06evMCmTbtITEykYcM6n/y/6dx5gCDeACZPnsxPP/2EkVFyp4jly+cilRoJHnFVq1bkzJn9/PBDH0aMGEGDEuPSnT+vIFaokcQrv1jEieVqxFKRVsD9j3vBmRVzxqxY2m+YOVlhamJfFFlBO0wKO3x+8L+YmZnRvXt3duzYwR9//MX48b/k2PUZMGAgd7G1tcXLyytdAefp6Znu52dG+Pod4j/B8+fPBZuJs2c/vXyamJhIkyad+PAhml9//ZXQ0FAsLMw5cmR7jlybo2NROnVqw7x5v1GgQD5Au96u4+Gm8XoPgLi3ATzdPYuwp1epXasyZZtr36y9vb3RaDRs2rQ8VfWLmZmZIN4A2rdvya1bp4mM9ObNm6fs3buRQoXs2LJlC1e8VtBjfEnSQq1W4h16Rfj56lV9p+qKFZNtQfbs2SN42N2/fz+Vn110dCy9enXB29ubTp06AXD48GFq166NhYUFjRs3Rq1Wc+TIEdq1ayd03QCYMmUes2f/TrNmXdiwIblNUXh4BB4e2ojZu3eReh06RCIR9+/fR61Ws2nTSmF7jRqV6devByKRiCJFtMmmd+48QC5XEBcXR50ukjxdjZpciZq9diLZxbfYieFrkr9KbUr+8htmDulXVENqEbl582asra2ZN285O3ceyMlLNGDAQC7SokULFi5cmOY+jUbDwoULU3WSyAx5WsClNIrt16/bJ8ceO3aO+PgE5s+fz5EjR9BoNBw/vuuLew3qmqzfu/dIMBjW8e5dJHXrtiEyMorx48czduzYdOe5v3EsETf3IJPJuHfvHGfO7Kfzd1p7E137qY8b038OExMT2rRpjrv7FZYvn4tMJuPnn3/mVeSjVGMTFNFEJ4Zib1WOAuaO9Onzo97+Hj06AdoCgV69euntS2mEvGzZbLy977J+/VLs7W3x8PCgUqVKdO3alQcPHmBqasy1a9cYNmwYLVu25NSpU8TFxaV5/WXKlBKe163blvr121GgQGlKlXIBtLl3jo6O7Nu3D29v7TL4wIFjhGP69x9FfHw8T59e5eHDCwB6FURz586lc+fOgrXKf53s9ZT7NvPfvkUkEgmBgYFYWFgwceKcVObmBgwY+DaZMWMGT58+xcXFhf/7v//jyZMnPHnyhAMHDuDi4sKzZ8+YPn16lufP0wLOxMQEExMTLCzMP2t8e/Wqdjnxn3/+wc/Pj++/b5zl5dPo6Bj69h2Bo2N1ChYsS+HClWnVqjulS7uQmJhIbGws27cfoGrVZsTHJ7Br1y5WrlyZ7nxyuZzSpUvz7t07hgzpQ+nSJQDYvn0/5uZm2NnZCT0Ss4JEImHQoN54ed2kbNlSPA85TXh02nl/xayrUbtEX9auXaK3/eHDJ4A2pPtxjlnK6t/AwFdYW+fXzlWsCO/fv+f58+e4uNTg1avHeHndxsjIiCtXrvD69WskEiOGDRtAhQr6xr8ABw4cBbRCODIyKtX+pKQkgoKCOHXqFIGBgan2Bwe/platlhQtWlhoT/LiRXLeW6FCdhw9epRA+eE8HYnLLsRyNdJ4NZKELxdyYoUhApeTVJj+h14kzsLCgnHjxqFUKqlQoQE1a7bA3z/5d15ncK6jS5eBTJo0N9eu14ABA5mnZMmSXLx4kbi4OHr27EmNGjWoUaMGvXr1Ij4+ngsXLlCqVKnPT5QOeVrAASxcuJDo6Bhat+6ZbvI6wPPn2lyrhw8f0rx5Q/7v/zZn6XzHj5+jVCkXTp68gIWFJZ06daJ3b633hlyuoGTJ2jg4VGf8+BkojUwo22EMffr0EY5Pq3jhzJkz+Pn5YWlpIeTQASQkJBIXF4+vry81anx5rp6FhQW3bp3C2twJ77dX9YoOJEbaaF+c6gNq89TGxlWrVhDm+Ph11nmugbbZvI7583/DzMyUrl1/4OTJPXh7+/Pddy1RqVS0b99e6JG6ceN2jh7dzps3T6laVes6Xbp0aQ4ePM6sWUsZNmyScK0SiRHLl8/Fze0iGzdqe9G9fq398Fq8eDrTpo3Tu7aPoxVTp47F0bEo69YtZf783wCtw35eRi0VZ1veWnZE4cRKkCRqRZyB3OPRo+TIuZ9fIDVrfs/Jk+fp0mUgVao05vff1/L772spXdoFV9cbbN68m0qVGqFUGpS2AQN5lVq1avHs2TPc3NzYv38/+/btw83NjWfPnvHdd999foJPkOcXSSZMmICrqysnT56kUKGKuLjUZNOmFRQurN/ANj5eW8VRqVI5Dh3amunzvH0bzuzZSzlw4BgmJiYcPHiQjh07Cvt9fHx49uwZBQoUoF27ejxJKoy5rSMisZiaQ//g4abxgnjT/ftw03i6du3K1atXyZ8/P1FRUTx48JhataoB4OzsyOPHzyhWrAjHjn3aVDclT5485/bt+1SrVpk6dWrq7ROLxQwb25lFi1bxIeG1YCMiQisQfN9cpWjx+qnmHDVKKyxv3ryZKtrZtm1bZs+eDcDTpx7C9rp1axESovW/69DhJ65fvwtoI4I7duzQm8Pb24969WozZcpoevceRpEiRUhISGDNGn2h3b17RwYN0grm27cfCvcEEBeXwKRJI8mXz4opU7T9LI8e1T9P0aKFefLkCi1adBWiivXr1+fcuXMcfzALmUyW5+1FvhQjuQalafYIQl0UzrCcmjOk9IbbvHkzvXv3FlrRaTQa+vYdKYxdvDi12W9IyBuuXLlJixaN2bx5Nz4+/ixZMjN3Lt6AAQMZRtdCKzvJszYiH7Nw4UJ27tzJy5cvEYlEdO7clnXrlghLZ2XL1iUsLIJx44Yye/akTM29adMuQRCUKlWKu3fvYm1t/cljPmcTAnBiTg8h+mNjY0NERATff99YiA7eu/eITp36cf78wXSNdd++Defixau8fRtOYmISR46cwtc3QNhvZWVJgwYujBo1iLp1awHaJVt7+4qULtSUErb1hLHnni5EJrWgYZ3fOHS8h955bGzKoVKpKFWqlJBvpuP777/n4sWL/P33Srp2/SHVNR48eJyhQyfqbZPJpMjl+iEcB4ciuLtfxdq6DB//2pmamjJr1gSGDRsgbBs27FcOHDjG/v37GTBgAImJibi41ODs2QNCB4d377xSFX64ut6gS5fU7tgikYjDhw/TuXNnve1fW9CpzY3/jcJ9uaEvgDyfBIXZl1WjfutecN8aKa1FmjZtmm7bva1bt7Jz506uXLkiWPv07t0FP79A7tzRfuHJDtskA9mLwUYk7933f4E8v4SqY/r06Xh5eXHnzh2cnZ05cuQUTk41GDBgNEFBISiV2mW+06cvpWpt9TmsrJJNcWfMmIG1tTV3797F0dGR/PnzIxaLsbCwYP78+cK4lNWlafFw03iuX78u/Kwz3r1w4aqw7fXrUBISEuncuX+q45cuXYOjY3XKlavHqFFTmT9/JcuWrcPfP4jOnTtz+vRpBg0ahLGxCadPX6Rt215UqtSIa9duI5PJMJZaokKFRmokPCxN7ZErYolVvKdTz8N06nlYON/atYuxts6Pj49Pqg8PNzc3rK0LpCneALZs2SM879y5Lc+eXSMw0I1q1SqleI0tmTlzIkFBIanE24gRAwkKctMTb0OHTuTAgWMAjB49SijDvnvXjSdPnnPnzhlWr16QZs+6mjWT25IUKVJIiFJqNBq6dOmCi4tLnlp20lWiZheSBDXSeM0XL6eKs6dNq4EMkDInztXVVejvKBaLOXDgAHZ2dgwbNoyBAwcK3+KnTtUWTe3de0QQb1u25JxNioH/NiKFKEceBnKOPCfglEol1tYFMDIyomrVqty+rW934eLigq+vL3v37sXauiDHjp2latUmREa+RyQS8fKlL8WL12T79tTl+Nu3H8DFpTXjxulHXHr27MzevRsxNjZm4MCBtG3blkaNGhIcHEx0dDQajYa4uDjmzJmT4fuoOfQPOnbsiKOj1hMqICAA0BZm6HLMWrZsDEBERCQjRmhbY8nlcho16sCSJX8SExMLQOXKlXF1deX8+fM0bdqUM2fO0L59e06cOEHhwoWpVKkSLi4uhIaG0bFjP+bPX4lcGYfE3AqVuUx4SGTaYoTQ8Meprrdnz86cPXsAsVisl9MHUKVKFSIj3+PsXIsCBUqzbNk6vf2VKpUXnltaWghFBceO7aRTpzb4+NwlMNCNbt06sGBBcrGHkZERp07tYeHCacKyrTbfsQcHDx4XxoSHR/DiRbLJqa+vP2XLlqJfP/0ooo65c5cLzx8+vMCxYzvp1q2DsO3evXscOJD37Bqy27/tf90P7ltEJ+KaNWuGSqXi/v37FChQgLdv37JhwwYAhg0bBsDKlRv1vvRcv36CLl3a5/o1GzBg4OuQ5wTc48ePef8+ClNTE54+fUq9evU4duxYqnG9evXizZs3PHr0iM6dO9O7d28iIyPZsWMHEomE8eNn0LRpZ6G60cvLh/HjZ/Dypa/Q4zMlbdo059y5A1haWnDmzBlh+U8XLRKLxfTvnzpS9qlInImJCS4uWmuQc+f+j/fvtd5tuqiRmZkZGzb8Dmh7t8bGxuLi0pqnT5PFikgk4unTp7Rs2ZIffviBS5cuYW9vQ+3a1QkLC8Pd3Z1nz55x9+5dqlatSqFC9qxcuQGNRo2pdWGUZhLhYZ5fu5ybr0CJNK+3dOkStGjRiNevX1OrVi1BaC5atAiAqKgPAKlsQSZNGolIpBULO3f+HwUKlKZWre+5cuUW27b9ScGCycvRP/2UbHS8adNy6tWrLfz89m04ZcvWE7poODs74ud3n6JFCwtjSpYsTocOrdO8ftBW027duheArVtXY2JigkwmS5UXlIHMgVwnu2xAdH11v2Q+cd4JUGaJpPBQ4vzzdieO9NCJOLFYTJcuXWjZsiU9e/YU9pctW5YyZcqQlJTE4sXTef/em/fvvT/b39iAAQP/LfKcgKtSpcq/LZjk3L9/DplMRs+ePYmKiuLChQsMHjyYli1b0rVrV+bMmcPr16+ZN28es2bN+repegsiIt7Rtm1bHj9+Rrly9di+/QBTp2rN9Fq2bAmQZkVr1aoVCQx04/17b/z9H9KzZ2ehAbtIJOLEiROUL18eR0dHqlatyoMHD4Rj1Uo5saF+vPd3J5/PCT5cXoeVlRWRkdom8G5uT9K835TLfY6ONQgICAa0hQArV84jIsKTokULo1AoSEpKolGjOjx+7MqvvyYnN3t63qJGjcq4ubnRpcuPzJgxgwULFvD43ia9c8mMrRCLJZhbagtAju7X94IDbXP5QoXsePjwIf7+/gDUrVuXvn37CueaM2ey3jH29ra8eHFTL8rl6xtA//6jUi1VNmpUFxsbraCbNet3vX3jxk0Xlr8bNnTh3r1zWFlZ6lWe+voGUK5cfSZOnM3MmUuEBvc6goNfY2wsY9SoQXTunNzazNo6P1u2/CEs6/bt25cdO3Z89fw3HSK5Ekm8IttEXHYso0oStNWo35qdiFqehP/WFQTt20hi2OvPH5AHqThFK+K6ddP6X5YpU0Zvf0RExBd7XBowYCDncHd3z/Ajq+TJIoZZs2Yxf/58Llw4SHDwa37+Wd8g9+O+nGlhbGxMyZIl8ff3F/qMValShWbNmrFq1Spu3jxFhQplPjkHQFRUNAsWrOTx42cEB4cQGxuHVCrhw4cYJBIJHz58ECKFaYnC4cOHs2HDBvr378GqVam9yMqUqUt4eESq7aVKOXP//vlUCfmTJo1k2rRxVKnShODgEMaOHcKcOZNJTEzE2bkWiYlJnD9/nu+//x6AJq2XCsfKk2K5e20JBQvmQ6FQkpCQiIfHDcHXTUft2q3w9Q1AoVAI0cK1a9cyevRoOnduy4ULV9m3b6NgPLx5825ev37LuHFDsbAwx8PjJSdOnKNEieL06NGRj0lMTGT8+JlUrFiOUaMGCdvLl69PaGgYLVs24cCBv/WO6dNnOKdPX0w1F8CgQX1YtGgaMpkszf0AkZFRtGvXG0/P5ATvwoULU8Xm53SP+RqozY1Rmkm/ePlTLdP+vyXlM/qi3qhKU1BYfH5cXkIZG433n3MAKNb1ZyzLVPrk+LyITjQ/XzqeiIgIbGxsuHz5MpGRkXTt2pVatWrh7u5OWJjHpycykCf4FooYHH9fkCNFDEGTZ+TJ+85pxGLxJ7WKbp9IJNKz6soMebK+rEmTJsyfP5+TJ88zZ85k4uPj2bXrIHXr1mLEiIHY2tqgVCp5/PgZDx8+ISzsHWq1CpVKjVwuJzQ0jKdPX+Dh4YFIJGLQoEGoVCpWr17NjRs3WLVqFX/+uUnwGfsU+fNbsXz5nFTba9Rojr9/EObm5kilUtRqNUuXzuK776pRuXJ5Ll68Rq9ev3Dnzh0AypVL26yvR4+OHDp0AiMjIzQaDWq1GisrS0HsrVr1FwDjxg1l4MDeODpql0G7d+/I7dv3mTXrV0C7XGtubkZiYhKtW7fm0aNHVKlSRe9cMmMLrG3KEh72HND+AllYmPExbds2Z/Xqv5k9e7ZQuNG7d29Gjx7NP/+cBsDISPur4+vrLxiK/vHHRipVKsf16yc+uZxjYmLChg3LUm0fP34YU6fOp1691N44e/Zs4OrVW/Ts+UuqIpUtW/awZcse3rx5KlQlf8zs2UsF8TZ+/DDOnbuMr28gZ19rX+e8EokTxyUhgS8WcWK5GrVMjJFcA4hQZ90n+ptDYmFFoVY/Ev3iMcZ2hT9/QB5EI9GKuOoj/uDR+vFERUXRvLm2pV5wcDDW1tYoFAqUSuVnTc4NGDCQ++hWsHKSPBWBUyqVHD16lH379nHkyBEqVizLjRsnMz3PyZPnadSoLlWrNiEqKpp+/fqxfft2jh49Srdu3VCpVOzevYFSpYrTufMAOnRolWnvpD/++It585ZjZmaKQqGgXbvv2bbtT70xhQtXQqPR3ldYmEeaFZOfIzExkYCAYMqVK/3ZsV5ePvj7B9G79zAK2lagQrWfhNw0HfeuL0MslmBbuBrrVw8QrEdSolarKVSoEuXKldML75qampKYmEiHDq3YsWMtkPzNUseoUYMEA92cwN8/kBo1tL3jRo4cSPHijoKAHDz4J5Ytm53mcdHRMfz22wK++64aISGhrFixHoAjR47QuXPnPCPgdCjzm35xg3u1TGsQrDATZ9kXTmcnojL9oksxkA4hx3YT6+NB/qou2DXvoPf3KvrXUFmSACt6V6dp06YAKBQKunXrxtGjR9O00ckIb968JT4+npIlP9231UD2YIjA5b37/i+QJ766RURE0KhRIzw9PYVwo5WVpd7yWkYICXnDoEHjhCR4HTt37qRmzZpMmjQJicSI06f3Ubt2dQ4ePM6bN2/566+dVK5cnj59uqYzc2rGj/+FQYN6Y2Vlmeb+hw+fkJiYhEwmw9zcLEtvsqCNVmVEvAGULVuKsmVLMXBgL7Zu3Ut0VCD5ChQX9mvUKpISP+Dg3BinEk3TFG8A799HoVAoKFxYG724fPkymzdvFgTcmjWLhbEWFuYUKJCf9++jqFixbKbEm1wuZ/Hi1UycOFywWfkczs5ODB78E5s37yYhIYnBg39iwICe7N17mDZtmqd7nJWVJevXLyUyMoqSJZMjfD/++CPNyv+KxCj95dfcRiM1+vygDKAtZtD+3okVmixF9MRKrZ2IWmnwg8sJop9r36si713FzLEklmUqCcunYkVyN4wBc7UpBZaWlkgkEoKDg5FKJZl+X7l48SqDBo0X+jpbWVkybtwvjB07BLFYzLNnnhw4cBR39+eEh7+jevXKLFs2W6+dngEDBj7P8ePHMzy2Q4cOnx+UBnniLXn9+vW8ePECB4eiDB/enx49OqfKy/ocb9+GU7lyYzQaDaampkLem44LFy4gl8v5+++V1K5dHaVSycyZyf1A8+fP3PmAdMUbwMSJsxGJRBQoUAC5PHO+dF/K4sXT2b79IDEfgvUEXFLSB9RqJTLjT38TqlatGaAVN6BNpNYVY1SpUkHvvp898+T9+ygAnJwcMnWdY8dOZ//+o/j4+LNr1/oMH7d06Uxq1qxC+/baPD+JRJKupcjHvHqlTWpv1qwhly9fR6PR8CEhhIIWeSsSIVaosyy69OaRq5HGa6NwX7KMKlaAKk+8W2QfGo2aiBsXkFhYUaB63a9yDcV7jyJgrzaabeaUnGaha2WmqwYu4FyF+LBA1s8dB0BYWBjm5pkXVaNGTRXEG2gjQ/PmLWfRolVIJBIhPUEkEiGVSnnxwpubN+/z+PHlLN6hgW8FkVqESJW91kMi9f+ulVGnTp0yNO5LcuDyRBXqgAED/n3DkDB8+MBMizcAU1MT7OxsAPRypGrWrImNjQ0nT2qXYo8dO8PZs5cpVcpFqGDs3Lkt7dq1+PIbSUFk5HssLS2pWrUq799/wMvLJ1vn/xSxsfGo1Qo+TrszNimAjV1FvD3+YdGstHuv+vr6k5iYiJ2dHUOHDgUQlm4mTRrJ1avJli7h4RGsXLlB+Pnq1VuZus7jx88BCB8oJ0+ep2bN5sTHx3/yOLFYTM+enTMctUtJlSoVeP/emxYtGgrbXr7L/DJ9TiJSqLK1KlWs0CCNV3/RXP/FHLrQc0eIuH6OD08ffH5wDiBSgoV9CSqOW0Gl8SuRqU0wSkgt3gDEEhkO9X9k8Xltlbp2SSr9L5ApOXnyPH37jqBMmTrCe56NjbVQAW9ubk6JEiVISkoSjtFoNFhaWiKTyQgMDKZixYbs2XMom+7cgIH/Pmq1OkOPrIo3yCMCztHRkX79+uHnF0iHDj/x7l1kpuewsrJk4MBeABQoUABXV1fat2/PkydPiIhIrvI8efICvXr9wocP0QB06tSGrVtT9xj8EtRqNcbGxqhUSqGDgJ9fYLaeIy1u3bpHly4DKVdOG00YMGAA8nwSbS6UTIzG2IiSVbVtpHbtOsg//5ymVq3vKVu2ruDkXqdOG5RKFZUrV2b8+PE0a9aMcePGYWFhwYoVG9i2bZ9wvs6dB3Ds2FnMzMwoVaoUcXHxTJgwi8WLV9OixY84O9ekevVm6V6vLmp27dodgoNf07fvSPz8gnjyJOcr64YPH8i9e1oB6eCQuchhbpHd1iJi5Zd5w31rdiKfIuldGFFu2i8c5sUzlqKQU0iTRNpct8TknLdP+fDVHPoHRkZGGeomcuDAMfr2HcnJkxeIiYlj+PDhWFlZIZNJuXjxEN9/35i4uDhMTEyE9yqAfPksUakUyOVyQNs1ZsWKDemdxoABA5/Az88vR+bNM0UMarWa5s2bC22cihUrwuXLh7G1tcnQ8YcOnWDIkAlYWlpy+/ZtfH199ZrR63qRpqRduxbs3Lkuy/lpafHsmSdNm3ZCqVQhEon+zYEzxdf3/hfP7eXlw4cPMdSuXT3Vvj17DjFq1FS9bRITCyq3n4SJ2FzYJlZqeHh2MYnx+iJZLBZTr9533LhxF2NjYyIiIrDKlx+NWvvtoEDJGiR9CCc+Ipj69Wtz/PguatX6Hn//IEaPHs2CBQsoXbo0YWFhwnyg/X+9evUYVapUALQRvnfvoqhduzqxsbE4OGjvRSqVoFBoP5D8/R9iZWXBmjWb6d27S4Z/BzJKdHQMmzfvZvDgn3ByqkGDBg0w/9A4W8+RHWikRmhkkmzpk6qWiVGairPUI1Vpqi1k+C/lwKmVSiLvuGJsWwjLsmlHo3MakVIbaZMkZt44OebKBnx9ffH0vCn8fURFRSMWi/Qic8WL10AuV/Lq1Suhv7ONjQ2gxsfnHvHx8TRs+AP+/sFp2h2Ym5tjbCxDJpOyfv1SmjZtkOX7/V/mWyhicFqyEHE6VfxZRZ2YSOBv0/PkfecmYrGYxo0bM2jQILp27ZquW0Km582WWbIBsViMq6srFy9epF27drx69ZpWrXoInRQ+x4kT2mhKWFgYFStWZMyYMcI+Kysrbt26xd69e4Uqrx071rJ794ZMi7f4+HhmzlxCUFBIqn1Xr96iV69fhL6s5ubmJCUl0b17p0yd42Pc3T04ePA4deq0oVWr7hQoUFqw8/jjj7+oWbM5Y8ZMB7Stp5ycilGyZHGUibH83NgahZkoxUOMc8M+OLh0QmqW/Aclk8m4ceMuDg4O3LlzBwsLC2wrJS8zKhNiKNtpLC1atODmzXvY2pbD3z8IgCJFimBlZcXbt2+5ceMG169fR6FQsG3bNgChLRZAhw59adWqO3K5nJ9/Hids14k30IrRffuOMGfOMho2zFpy56fYvn0/8+evFKpng4ODOeue2qPva6NbStXmw315Y1KxMmvRt5TJ9P8VxBIJNg2+/2riDf59RUIyYQAA5dJJREFUXbP431qpUiXUajXlyzegUaMO1K/fHmfnmjg51aBJk0707j2MOnXa8OFDDN27d8fa2hovLy+KFy/Ou3fvBCFmZmbGw4eXCAvz4NChrRw9uoPRowcL50lMTMTX9x4vXtw0iDcDBrKIm5sbVapUYcKECRQqVIhffvmFe/fuffG8uR6Bi4qK4vjx43Tt2vWTlU0DBw5k+/btSKUSKlUqj729DX/+uSjNaIy3tx9NmmiXBnVtnpydnQkICMC6dmPe3b2CRqPRE2smJibcuXM6w4n3arWaX3+dw/bt+9FoNJQvX5pbt06jVCrx9PShUqVylCtXj7dvw6lfvz6DBg2ievXqfPfdd8hkUsqXL03//j3p27dbZl4u+vYdwcmTF9LcJ5EYoVSqMDISo9For1Fn7Ks7Li4ujobj/hKO0S2hqaUiVPIEFPf30LBhQzZu3IharUYsFlNzqH5DbI1aDSIRIpGIh5vGs379eubsPIpaAlblqmBiXxSPhanbicnlcmxsbIiJiaFRozrY2BTkyJFTgLbN1fz5KwQRCGBhYUFSUhJSqYQuXdqxe/chjI1lhIY+z9Rr9jmioqJxdq4p/JzPtAh1Sg38xBFfH43UCJW57IsicV8ShTPYiWQvKS1CssL9jWNZv349ixcvJiIiApVKRdmyZTE3N+fBgwfC+12LFi2YN28eLVq0IDY2FpFIxIABPVm+fE62rjwY+DSGCFzeu++vgVKp5Pjx42zfvp2zZ89SpkwZfv75Z/r27YutrW2m58s1ARcfH8/ixYtZtmwZSUlJmJiY0LNnT+bPn0+xYsXSPObkyZMMGTKEd+/e/WtrYY+Hxw29MXK5HEfH6sjlCv78809GjRoFwN27d2k79jfyV6uDcUE7AML+Wsi7d+/Ytm0bAwcOpEyZEly6dPiTyfBKpZLx42eyZ89h4U1RrVYjkUgID3/BwIFjOHr0DH36/Ii3tz/37rnpLUV069aNQ4e0yb92djZ4ed3O1Ot26NAJhg6dqDenTCZj6NCh7Ny5k7i4OFQqFWZmZjRuXJft2/9EJpNRu3YrgoJCqNhv8SdmT0bXz/Vj8ZYecgttYrtuWS0tAQfaUuoePXogl8vT7FTRsmVLAgICSEpKYsCAAQDMnTtX2F+rVjUOHPibTp368csv/QSrF53YzCrx8fH07z+aixevAdCswkSkRtn75pXd6ETcl/jD6URcUr7MvXZqCcgt/1vLqF8D3bKpWJW6UCGjpNd7+dWrV+TPnx8zs2Tbovj4eGxsbJDLk2jcuD5z50429Ez9ChgEXN67769JUlIS69evZ+rUqcjlcmQyGd27d2fp0qWCfVdGyLWvYBMnTmTBggUkJSXxyy/9MDExZvv27Tg4OFC6dOlU7voA7du3582bN4SGhmJsbMybN295+FC/p+gvv/xKUpKcv//+WxBvAAOP38K+eQdBvAHY/TKd8tNWMmDAADp27MjLl36UL9+Adeu2pnn+2NhYKlduzO7dh4Q3xHnz5lGxYkWUSiUrVmwgNlYb8duz5zD37rlRqFAh4fgXL14I4g20RriZpWvXH4iMfMmffy4StsnlcooUKUK/fv1QqVTMn/8bISFP2Lt3o9BOqkCB/KhEEjSa1KIpLWoO/SPD4k1pqi/eUlJh+h9CM27Q+tskJCSgUql49OgRV69e5ejRo1SuXBkXFxcOHDiAl5cXAQEBzJkzh1mzZjFgwAAcHR0BaNu2BQsWrOTp0xeMGjWVS5euU6BAaWxty6c69/PnnlSp0oT581d+9h7MzMz02nUZib6NMkuxQo0kXvnFhQ3ZVRhhIHNoJMkVvdkl3h48eICZmRkODg5YWlpSokQJAJ4/f46zc3ESEhJYu3YJhw9vNYg3Awa+Ig8ePGDEiBEULlyYlStX8uuvv+Lr68uFCxd4/fq1Xt5+Rsg1ATd9+nREIhHOzo4sWTITf/8HXLx4iCJF7PHx8RFaTqXFhAkTSEpKwto6P2XLlhS2e3n5cPToGSpWrMigQcmmvykFRHocPXqUdevWkZiYxIwZi3F0rEFsbKywX61W07hxJ0JDw5g2bRpKpRKNRsP06dO5du0aBQsWZMGClVy8eI38+fMzfvx4HBwc2Lp1qzBH48baxHhd3p3O5iQr9OrVmZ9+SjYabteunfA8LT+oH39sjzIxjviIV1k+Z1qkl9D+sXBL6/+gWrVqNGrUiI4dO+Lu7s6dO3dS+e+JxWK2bdvG9evXkUqlzJu3XK/ytWtXbe9SjUaDh8dLvajetWu3CQ4OYeXKDTg4VKNDh5948OBxmvehVqtZv36bcE6+AbsikUKFOC4Jozg5YoUqV0WYWPltNrbPa+TE63f79m0SEhKE95lXr7R/8y4uLoSHRzBp0kh69uyc/Sc28J9CpMiZhwFYuXIllStXpl69erx+/ZqdO3cSGBjIggULcHZ2pmHDhmzfvh03N7fPT5aCXBNwxYoVw9jYmA8fkk0ka9asSr16tQGtr1FaPH/+nPPnz2NkZISv73295c6DB08A8PffyZGUcnP++KxnlU5sjBgxgoSEBMaNG4dCoaB69eY0b96Fdu16U7ZsXfz8AhkyZAgLFy7UO97a2pqwsDB+++03hg8fjre3NytXrsSi73gm3vAEwMvLi/BwneeSVrhVqFAmIy9VmgwcOIbdu/WjeVOmTMHS0pJff52TqqiiVasmACR9CM/yOT9GJ96yyqtXr9i0aRPt2rWjf//+hIaGpjvW0dGRp0+f0rRpU4oWLUqxYsUoX768UEmn0WioX78dNjblqFKlCVOnLqR7945MmjQSgNjYOK5fv0vbtr0YPXpqqvl79fpFMHIOCQnh/NOMLTXnFcQKddY6K8jVSBLUSOMzL/4kCQYR96VkZQn64abxwiMtRo8eTceOHYU0i06dOvHixQvi4uIYOLAX06aN+4IrNmDAwJeyYcMGevfuTWBgIEePHqV9+/apUoDs7OzYsmVLpubN1SKGxo0bc+3aNSpWLMvFi4cwMTEhPDyCMmXqUrlyZb2+m6CN2i1apF06rFOnJmfO7Bf2BQe/pn79diQkJJKUlIRYLKb0Em3UR6wAkerzlXMp87YGDBjAoUMHkcsVqFQqpAXtsWnYEqtyVT95XFqRJo+F48mfP78gSkUiERqNhj//XETfvt2Iiorm4sWrtG7dNENmtF27/sylS9fT3Ne5c2f++ecfWrRoxMGDyf/5M2YsYt26bbi6ujJx76PPniMjpBRwmfkg8lg4Hl9fX8qXL49CkfyfIpPJWLFihd7Sd0Z4/Pgxt27dIjAwkOvXr/P48WOh84a5uTlFi9rz8qW+706TJvVZvXohjo5FAW3FcKdO/bGzs+Pt27d5rhfq51CbGyPPl/X2X0pzI213BgkGW5FcJrMFDOkJt4/RfdH09PTk4MGDJCUlceHCQWrVqvbJ4+RyOQ8ePBa+TBvIfr6FHLji83MmBy5gpiEHLqfI1TKkq1ev0qtXL54/96J48ZqsW7cVW1sbSpRwwsPDg+joaL3xrq6u/x53jIYN6zBx4myCg18zZMgEqlVrSkxMLKtXr0YsFlNi9UpUphrUEk2WXOO3b9+O49gFlJq0lLK/LafEkElpireP8Vg4Xk/Q6Z7rcrhAGy0SibTLoAB16rRmyJAJODhU11seTA8vL18Ajh7dgaWlVvBVqFCG4sUd+OeffzAzM+PRo2fC+Hv3HrFt235MTU2zTbx9CRWm/0GDBvX/LQgZxpkz+9m37y8kEiPGjh1LYGDmTI4dHR2RSCTY2Njw+++/Ex8fz/nz52ndujXW1tZ64m3AgAGUKFGCK1duUrVqE4oXr4mLS2smTdIWSmSl8icvoDX5zXooTOjO8I1E0xSx0QT/32ai3JP9FKNfPCH82lkSQgK+3oVlgZyyZZk+fTpFihRh9+7dQleF16/f0qvXUGrXbsWpUxfTPO633xbQrl0fFi1alf0XZcCAAUDrwHH+/Hl2797Nzp079R5Z5asY+e7cuZPRo0cTHR2Nk5MDEokRvr4BHDx4kK5dk/O8bGxs0GhU+Prep1ixqsTFJbdYKlKkCIcOHaJuXW3XgRKrtYnrIgVIEkQZisB9CR9XXcbHx2NiYqIXFu3Tpw979+4Vfl67djE+Pv6sWrVJ2DZwYC9WrpyXoXMmJiZSuLDWt8rd/SpFixbCyakG8fEJWFlZ4u//gNjYWEqVqoNCoaBUu5FYFMq+Hp8ZjbwkvA4i+OAWClSrg23jNijjY/FeNYsff2zP5s3JEcv9+/9h+PDJiMViNm3apJfHmB5z5sxh3rx5elW5FhYW1KpVC3t7e4oWLcrUqVO5desW4eHhDBw4ELFYzIMHD1i+fDkXLlwgISEBjUZDuXLlcHV1FfLwvsUonNJMmqWlVLVMjFoqIslKnKUInCLzXcy+CJ/1C1FEvcPUoQTF+44i4XUgAduTO6jYNmqDTYPvc/eiMolu6Tmz9iEfR+AWL17MypUrefToUaoK/jp16nD37l1at27G2bP6/UsLFMiPn1+yAJ41aymurjfw9PRBqVTSsmUTvcIeA9mHIQKX9+47Nzlx4gR9+vQhNjYWKysrIV8VtCt0ul7jmeWrGAH169eP8PBwOnXSFgn4+gZQsGBBWrZsKYwJCgri3bt3NGxYB0BoXF6lShUePnxISEiIIN4A/MZOyN2bSMHUqVP/dSw3FqwwIiMjqVy5Mhs3buTWrVuYmpoyatRUPfE2ePBPGRZvoE22F4vFlClTAgeHIojFYooXdxD6qbm7e1CiRG2SkpIo2XZ4toq3zBDz8hmquBhi/TzxWDiekp7alkVDh/bTG9ezZ2cuXz6CmZkpgwcPxtnZmfXrP93UftGiRUilUjZtWsHRozsYOXIgIpE2unvgwAFWrlyJvb09e/fupVGjRoKgvnPnDs+fP8fBwYGdO3eSkJDAo0ePUhVRfEuI5F8QgZNriz+yGoHL/Tw4rWAv3LY7ANL8NkjzFUBkJMG8ZHkibl5ALU/61ARfnawuOaesDl+5ciXTpk0TvN8+Zs2aNUgkklTizcLCQq+J/R9//MWaNZt5/txLaMnVpk329oM2YMCAlokTJ/Lzzz8TGxtLVFQU79+/Fx5ZFW/wFTsxyGQy/vnnHxITE9FoNNrWTSkU+vz58wEYMUJbddilS3sA6tWrR40aNXL/gv9Fo1IR9eQe69atE7Z5e3sDWs+4HTt2YGRkRIkSJZg6dSrDhg3D1dWVoKAgJk+eTKdOnQD44YeWLFs2O1PnlslkvH37nNu3zwDaSkpf3wCMjIyIiYmlceOOKBQKynWegGXhkp+ZLWtkJKqp6y0pscwHwKVLlwBtU+2PqV69MvfuncPc3IyAgABGjhwpiOC0MDMzQyTStkFr3LgeCxZMIyjoEZGRLwkJ0VrMqNVqDhw4QNeuXfH19aVixYr/z95Zh0WxtnH43mBJEQUExW6xC7u7u4/drdiJHvXosTuwPcfAY2AXdge2mIioICgiIs2y+/0x7sASSoN+e1/XXLAz77zzzsbMb573CUaOHMmzZ894+PAhnTp1Im/evIwcOVKrnmRmrMaQlqRGkfu0RK1WowwWIsML9BtH8cmLxLRAciNjrBq3Rx2lxKRAMdRRSqLCkpkV9xdAk+Zn+fLlABQuXJh8+fLFaVe5cmWuXbsmvm7atCkgJDgfMKAHoLlOOQGIluxu3drTp0+XtDwFHTr+b/Hy8mLUqFE/LF6QHDJtKu7Dhw+jpyenTBkh35cmVcZ///2XkcPC//ZFPhzbw4gRI7h58yYAe/bsoXjxYmIblUqlFVU7bdo09u7dy5w5c9DX1wfAxiZXso4vl8tFq9LevYcIDQ2jQ4cOSCQScubMyfHjxzGyiD8xckpQJcJ6EOH/Cff1C/A5uY9cbXry9OwJVq1aJQYunDlzMd79cua04u3be3h5PaBgwbxs376dkSNHxtvWysqK8PAISpasrZX2BeDhw6cA2NjkRF9fwcOHDylcuDBubm60bNmIDx8eUaCA4Jv47t07Vq9ejYWFBbdvp7xObUaRkmL30ghBvCXVCpdeZbU+XTjGyxUziQoLRWZgiEQqA0AVEc6Xe9eR6QvTPZ+unkGqbyA+MGRGJMoYSXxT8P6VLFkSEFxIEqJy5cpcvnwZZ2dn8Xpz/fpxFiyYQUREBFWqNMHT8x0gVHO5desUa9f+nfxB6dCh44c0adKEO3fupHq/mTaOrEGDBuzevZvChauyffsqMf9Xly4/f0pUGqqRKoU55tS+2awd1odeN86RLVs2SpcW/NHkcjlPnz7j6tWrODo64uzsTFBQEP379xdTnOzfv58RI0agVquRy+XUq1cjxWPJkkUoWp0vXz6USqUo7KYffJbivmOjucmrZMKNKOZ0kNu8sVy5coVatWohMzJBHxUfj+3GZNtKpk6dikKh4NChHRQpkvCUrlQqxcjIiOvXT1CmTF3WrVvHsmXL8Pb2Zs+ePRw6dAhXV1fROTsg4CsnTpyjU6foWqlVq1bkyxfBGlq7dms8PN5StmxJFi50wNa2KI8fP+P1ayFg4siRf7h//wkODgupWrUqXbt2ZdWqVZx8OPeX8YWTfK+PKtWTotJLv5+yJidcWkeifr5xAYBvzx9hWrICEZ990c+Riy+uV/l4/ihyE8Fir44Ix7xGQy2/ksxIcgrXx/Z/CwjoS/Pmzenfvz8qlYr3798jlUrp27cvvr6+hIeHU6FCBRQKBdOnTxfT7tjbzyR//jycPHkef/8vdOjQgf379yORSClSpGBqnmaC3Lp1j9Gjp7F58/IUpVTSkTZIlRLxvplqpHZ/vxCHD0fXAG/RogUTJkzAzc2N0qVLo6enHWnZunXyan5nWgG3a9cu6taty9ChQ0Xx1qxZM62py/hQ66Vt8sAOHTrQoUOHeLfVqFGDGjUEYRYSEoKbmxsLFiwgIiJCnO5YtmwuvXp1SlIZqFmzFrJq1SbUarCzK8+uXRvInt2M48eFGqlVqlQR+0tsNYXkIN64gSi5diCHk5MwJRMVEsTgsUNYtmw9gwYNIigoiKxZTXn/3puqVSsm0HM0CoWCfv26M3/+Cq0vuUQiIW9eGzp0aEWzZvVxdj5Ohw4tE+zn0qXDcdbZ288EoFy5UtSsWZWaNatSoEA++vcfza5du3j48CGPHj1KcCr1VxF2SUUWoU5WOpG0xrRkeQIfuxLy7jWfLp1A+e0r1s06of7uD6cMCULfyoYIPx+CXrlhWbPxT3rMONRyUAHELfiSIPGlDzEzMxOnSHPnzo2XlxcWFhb4+fmJbV68eAHA7t27mTZtGjKZjGvXbnPt2m1kMhlz5swR28yfn/LvtIeHJ/7+AZiZmRIQEEhQUDC5cllTqFB+revcH38M5dOnz5w5c0En4HT89mjcpWLy559xfd4lEkm8/qyJIdMKOIBBgwZRtWpVWrZsibm5OcePH8/Q8SRU7zM2tWrV4sqVK+L/165dIyoqChMT42T5mahUalQq4aZ18+ZdChWqjJGRISEhoeTNmzdBQZnaaAqaa9K02E5bJr4nBQpEW9eOHDmFkZERBw4cAODr10DGjp1Bx46tEnWc8eOHoaenx8uXrzE2NqJ+/Zo0alQHuTz66/qz3FZxxq5Scfu2kFJl06boUlstWjTk1Km91K3blsePH3Po0KEEy5n8Sta5xCKNUH2/CEgJz5q5BFyuVt1RKyP5+vAWABI9BTLjLKBWo5fNgsgvfmQpVhpJiXJ8unCM8M8ftUrnZTaSOhtQcdCyBHPAPXnyBC8vIXl3TPEWk8jISGbNmkXevHkpUaIEvr6+jBgxgjZt2mBjY0O2bFnp37970gYVi/Pnr9C+fd94t9WsWYUjR/4F4O1bLz59+gxAyZLF4m2vQ8fvRHy1v1ObdPOBU6lUXLp0iQ0bNiRpLrhMmTK8ffuWe/d+ns8sLSNREyve3r9/L4o3EGqfadR1jx7JE1olSxZHIpHg6LgEa2vhBhUaGkb//v1xdxdyxCWllmlyUenFrYG6YcMG/vzzT/bu3YtUKuXWrVNcvXqUfv26YW6eTWynVqu5fj1xn7tUKmXs2MGsXfs3ixY50KxZAy3xlhz27HEGhKedQoUKxFh/kLp124qvN23aRKNGjRg9enScPgIDAxm7qBYnH85NVMBDegVFSCMzbyBCSpBIJCiyC993PTNz1JEReO3bgs/JfUQFCxGVMoU+Qa+eABDx+WO6ji/iix9f7l7jy91rHBvQNk5OyNQgod90zpw5RQu1lZUVN2/e5PPnzzx79kwUbQBZspjw7t07Tp06xcOHDxkwYAA5c+YkIiKCVasWpGhshw+fokOHfkgkEvr06UPfvn2pX78+ffv2xcDAgCtXbjJwoD1ubi/o0WOIuF+lSuVTdFwdOnQIpIuAmzJlCnK5nDp16jBkyBAqV65MlixZWLJkSXocPsW4zRvL06dPuX79ehzHeQ0qlQpvb292795NiRIlkMkEh2tNhQCABQtmJPqY48Y5kCNHCSwtizNkyHjUajWDBo1jzJhBgDCVu2nTpjjCRmkIESbxL0pDYUktwj5+YMiQITg4OHDz5k1UKhVmZqYoFArmzJnM8+fXRf+a4OAQmjfvxtixiX8PUpNixQqRO3cuzp7dDwifV61arRg6dKJWu3v37uHi4sLKlSs5deqUuP7x48dky5aNpk2bYmZmRseOHanQUkVCaRQ14i2tRZymPqo85PcsOmhqWw6AyIDPWutVEeEoLKzxdTlE6Ps3GBcqQZaipdJtXN9ePOa140J8Tu7D5+Q+ChYsyMyZwhR9fCIuJWlX4hNxmnJ+N27cwMfHBzs7O7Jnz06xYsVwcHDAw8MDExMTpFIpPj6P+fDhEb6+T6hYsSz6+grmz59GixbJTxty9Ohp+vQZKYq3S5cusXXrVs6dO8fWrVsJCxPmivftO0KNGi14/FjwyzU2NsLM7P83H5iOn7NmzRry58+PgYEBVapU4datWz9s/99//1G8eHEMDAwoXbq01kxdZGQkkyZNonTp0hgbG5MrVy569eqFt7e3Vh/+/v706NEDU1NTzMzM6N+/v9a9ftasWUgkkjiLsbFxos/r7NmztGzZkkKFClGoUCFatmyJi0v8ybUTS5oLuIcPH7Jw4UKyZDFhypTR/PPPGvr374FSqWTChAlpdtzUCF54OHskzcLeY2pqiq2tLdWrVydLliwYGxtTuXJl9u7dCwhh+SYmJtjY2DBx4kSePn3Ko0ePRMfEBg1qUbZsySQd+/bte0RGKlEqtefGJ08WBEGnTp3EdRUHLROmN78n2o0y1F40ljOlgRCEkJiI0oSQRgo3I7d5Y5FdOIhUKtFKh7JkyTqt9hqrY6FCQlqTjx/jn+5JaypWLMujRxcpX14IPHFwWCjeVIoWLSRGOXt5edG4cV0Ali9fTu/evcmSJQvDhg0TTeKhoSHs37+f+fPnY9swhMgobcem2KItsRa7jCaxVryUfH+SiipGahCFuVX0BqkUm/a9MMgl+JaqIiPwu3aWd3s3EebrFbubVEWtVuF9ZBfm2Ux58eI6Fy44Y2qahblz53Lp0iUg8Rb7lGBmZkaVKlXi3SaVSmnZsiVfvwaiUqkwMDBALpfj4rKP9+8fMGRIn2Qf98GDJ/TpMwq1Wo1KpWLr1q14enrSuHFd1q1byOTJo6hRw46sWbWFmrl5dvbt25Ls4+r4/XFycsLe3h4HBwfu3r1L2bJladKkCR8/xm9dv3btGt26daN///7cu3ePtm3b0rat4A4Dgi/63bt3mTFjBnfv3uXAgQM8f/48TtBAjx49ePLkCWfOnOHo0aNcunSJQYMGidvHjx/Phw8ftBZbW1ut+/CPWLt2LU2bNiVLliyMHj2a0aNHY2pqSvPmzX/q1/8j0rwSg5WVFR8/fmT6dHtGjuyPQiHUb+zadRCnTp3n2LFjNG/ePHmjj4eCK5YiiQT38cJ0any1ShODMiSYj1sX8/XrV7JmNaVDh5ZYW+fg6dMX3L37kHfvvFGpVGzbto1u3bphYGCAWq2mXr2anD9/hY4dO3L27FlCQoLx8XmSrDE8fvyMhg07EB4eIa7Lnz8/x48fp0QJIb1K+WHLBIEmizu9mRCyUJB+14UaofuzyLiYVRjc5o3Fw8ODggULUr9+Lfbv38LDh26MHz+LlSvnUbx4EXG/adP+Yu3arQCYm2fjzh2XTPEE/uGDLzt27KV79w4EBwdTrZrwHdTXV/D+/QOsrEpSokQJnjyJ+9nt3r2Bxo3rYm4e7ctTpkwZPnpGYZFHwtKlS2nUSLsqQFr6zqn1ZKgV8mTXRlUppCgNpUQaSRIVyKA0TNr3LaX437mC7+kDIJWRo14LlIEB+N++hFmF6gTcFRz6DaxzExUaQuRXf0xLVsCmzR9pNh61Ws2LZdOpXbUCBw9uA8DT8x2VKjVGX1+foKCgONcdjQVO8S15yZMT8oV7+fIlAwcOxNLSEgcHB0qVirZCrl69mpEjR2JvP5QZM1LPvaRUqdp8+OBLnjx5ePv2LadP76VcuVLxujn4+wcwd+5SzMyyMn362CQFb/1O/AqVGAo6/JUmlRhez56a6POuUqUKlStXZvXq1cL+KhV58uRh5MiRTJ48OU77Ll26EBwczNGjR8V1VatWpVy5cqxfvz7eY9y+fRs7Ozs8PT3JmzcvT58+xdbWltu3b1OpUiUATp48SfPmzXn//n28KXsePHhAuXLluHTpErVq1frpeeXOnZvJkyfHqfu9Zs0a/vrrL9GfNakk6dekSVibFPLkyQPA3LlLsbIqSfHi1SlRoganTp0na9as1K1bN8l9xiQiIoKmTZuir6+PQqHg/YTJGG3fio+PT4r6LfH6Nl+/fmX27Im8eePKkiWzmTBhOFu2rOD+/fN4eNxBJpMxe/ZsFAoF69atQyqVcuHCVQD27dvHly9fGDVqYLLHUKpUcRo0qK21bsyYMZQoUYLyw5ZR2n4ZEVmiAwsSezPVWOM0i0rvx1aV+EpoaaJOhw0THJjLlLHl9Om9WuINoE+frvTu3YV37+7x6tWtTCHeQMg9N2nSSPLkyUXevDZijdkqVYTSZDFTNJQqVVxr3+7dhxAREYGRkZF403r48CE+X5/w+PFjGjduTN68ebl79664T1pb4FR66XtjTC/xBqBvaQ2AWbkqoFLx7eVjpAaGBD69L7YJ83lPluJlkJuaYVwwbZ3kn/5lj55JVjw83orr8uXLQ+vWTQgODk4ws3pyZwVcHceiUqlwdXVl7NixHDp0SBjH06eUKFGCixcvsm/fPkqXLo2NjQ1btwoPTMOGDcPS0oKlS9cxaZIQ/aZSqfDw8OTatVusWOFI376jqFWrFZUrN2bXrgM/HUtISAheXh9o2LAhpUqVQq1WU6FCmQR9VLNnN2Pp0j+ZOXPc/6140yGIxJiLJh1UTCIiInB1daVhw+ipfalUSsOGDbl+/Xq8/V6/fl2rPQg51xJqD/D161ckEolYhef69euYmZmJ4g2gYcOGSKVSMddrbDZt2kTRokUTJd5AqIOqSaodk8aNG2vljE0qSfpF9erV6+eNYnHnzh3c3NxYsmQJtWvXJjIyisjIKCpUqMDjx48TzEysUqmoVq0aBgYGYib/2CiVSvLnz8+pU6fIkycXJUsWo3jxwjx+/JgKFSowb948Kni68l/3xkme0tBM+cUWJBpMTbNQrVolPDw8ePv2LUFBQSxatEjMRbV06Z9cvHiIqVPHJOm4sbl1K1oE2NjYULGikIojpmjTLIkl5j7i1Kpe/G3jE2+205aRM2dOQPDVa968W4LHKlKkIMuXz8XEJJ2LZyYBIyMjjh7dSaNGdVi/fjEfPvgCgv9ElizGuLkJKRfs7YcCggWmR49heHk9EKs/ACxYMJ1x44ZRtmxJ3r17R8WKFcmRw1IMaklLESeNTPuIp4zCKG9BFOZWBNy9xsfzR5EZGmPdpCMGOWzENhK5HmZl7CgyYiZmpSun2Vg015Ha5Uvj6fmOS5eibxT3LQTrV9nBcV1DUiJ2Hz58iJGREZUqVWL58uW0bduWhw8fYmdnR1RUFKdO7eXOndO0adOUT58+0a9fPywsLDh//jyvXwuWckfHfyhfvj5WViWpUKEhLVr0YNasRTg7n+DFi9e8efOO4cMnMWzYpB+ORaFQIJfLePTokfhw/uVLQPJPTkemQRIZnWg6tRZNSq88efKQNWtWcZk/f36c42vKw1lZWWmtt7KyStAg4+Pjk6T2YWFhTJo0iW7duokWQR8fH3Lk0I5el8vlZM+ePd5+wsLC2LlzZ6Jqd2to3bo1Bw8ejLP+0KFDtGyZcDqsn5Gky0rMQvNJoUSJEpQoUQJ7+8Sb8Tt06MCNGzcAGD58OM+eCf5KTZs25f79+7x+/Zrhw4fz4cOHOFMEc+cuY8mStUyfLkxbHTt2jC9fviRpzLNmzWL58uUsW7Ze9ImKjaWlOQDlypUT+8+dOzfv37/H3n4mzs7bk3TM2CiVSvz8hKf58uVLc+/eIzpNX0z2KrdRp1IwgubGopIJYk0aGT3F86Pi9cWLC1YpT893eHq+4907b/LkSV51icxAmTK27N27CUCsGRkaGkpIiOBhYGBgwKRJI/D3/8K2bXt4/14weZ88eV7so23b5lhZWTJ9+li2bXPi0KETXL58g1q1arFw4UImTJggirjUnFLVJPSVh0hRGmXqzECJRhkchCoyHIWZORKJlDxdBuJ/6yKR3wII9XqLXpasRAZG/6b1smYTLXXpwcaNGylcuDDt2vXBw+MOpqZZ0LewQs8sOyFv3eMEVKQkiGH58uWEh4czeHAvbt++z927Dxk2bBhBQUHY2w/Fzk6I6ty2bRURERE4OCxi06Z/adiwId27d+fp06c0aNCAK1eukDNnTrp06UKOHDmoVKkStWrVwsDAgJCQECpXrszu3Qd48+Yte/Y4YmqaJc5Y5HI5devWwMXlkhigFdtPV4eO2Lx7905rClVTISQ9iYyMpHPnzqjVatatW/fzHRLg4MGDfPv2jd69eyd6H1tbW+bNm8eFCxfEGu43btzg6tWrjBs3jpUrV4ptR40aleh+k2SBGzduXFKaJ5sLFy7g7OxMmTK22Njk1Jofvn79Or6+vjg4OPD0qVA6KbZ/x/TpY5k1awKjRw/Eysoy0RnaNeVuJEowNTWlUKFC3Lp1T7TAaLhxw5W//lrOuXNXkEqlWuLw/fv34v8eHu+SfO4xkcvlPHt2jc+fn0eXulEkYCpLITH96GIGRCRkOShfvjwGBgbitIidXZM0GVdGcPSokCBZ4x5aqFB+btw4jkKhYMmS2Tg6LuH48d0A1K9fg1atGnP9+nGsrCzFPvr06cLBg9t48OA82bJlZfLkyVrfjdS2xkkio34rK5znv6txX/cXypBgABRm2bFq1JZwXy+igr7y8fJJlEGB6GW3RKKnIFerhK3AaUG+fPkYO1aY2rx6VYiSuzahFUZqJZFfk1+cOj40DtyDB/cS0wg9evSQXLms4lz7FAohwvThwwsULlyAXbt2UahQIS5evIharWbs2LG4ubnx8uVLAgMDRZ9kIyMjHj16RIMGDbh+/Q6FCtkxffpfcXJZKZVKrly5iYGBvui7/N9/cZNm69ARE1NTU60lPgFnYWGBTCbD19dXa72vry/W1vE/nFlbWyeqvUa8eXp6cubMGS0xaW1tHSdIQqlU4u/vH+9xN23aRMuWLeNY/n7E5s2byZYtG25ubmzevJnNmzfz5MkTzMzM2Lx5M8uWLWPZsuhax4kl1ZwSfHx8iIiI+HlD4NSpU7Rs2ZKSJUsydOjQOBeJnTt3AlC7djW8vX2QSCSEhIQA4OjoKEaFPn36VLSCxWb06EHMmjURY2NDcVzx5WnSPBlr6hQqvglL+WHL2LZtGwB167ale/chNGvWldy5y9KsWVcWLVrD16+B2NgI0zgxqwb06tWZz5+fJ7s4dOHCdpQvX587d+5jZWWJVCqlcGEhd1ldczlP/k79fFMxp1M1S0LizW3eWBQKBcHBwURFRaFQKBJMp/ErEnPauk2bZty5c4Z8+YTpIqlUSqdOrTE3F0oUmZiYsGPHmjhT7V5eH1CpVNjY5GTHjtWoVCp69OiRfieRSDQBDFGKzJXE16SwLajVvFz9J0//ssd9/QKUwd/IUU+Ybgj1fIV5tfoU6GdP0bFzMcwVt7B7WhAzOKF2bcE/9f79x+I6c/NsqL084t1XEw2eFFwdxzJ8+HAAKlRoyPHjQtqBwMBvVKuW8FRxzpxW3L59mkGDevL+/Xvy5cuHmZkZEydO5PTp02zdupWOHTuir6+gatWq7Nu3D6lUiouLC4cOHSJbtmysWbOVXLnKkCdPObJnL4qNTRk6dx5IWFg4Y8fa0759e+RyOQ4OC+nUqT+HD5/izz+XMHz4JCZPnsPFi9eSdrI6/q9RKBRUrFhRy2VKpVJx9uxZ0WoVm2rVqsVxsTpz5oxWe414e/nyJS4uLpibm8fpIyAgAFdXV3HduXPnUKlUcaK8PTw8OH/+fJKmTzX7JWZ5/fp1kvpNNQGXK1cu9PX1xfw/8bF161ayZs1K06ZNOXbsGO7ur1i/fj358+fXcvydMWMGCoWC1as3I5PJaNCgAcbGxjRv3pwuXbrw9etX+vbti76+/k+Fw+fPX0RnRQ1u88aKljZ5GOgFCX8VQcL0oVQJ99aOpUaNGhw5cgQTExNOnDjLrVv3yJLFVCv3y5UrV3j06BFlypQR17Vt2yzZDrsqlYrPn7/w5s07GjXqRK5cQtqLf/8V8pdpHC2TG137I2L6xSXGZ0dzjgULFiQ8PJySJWvi6PhPqo8rvdGkfKlevTLbtq38Seu47Ny5j1KlamNuXoxs2Yrg4nKJEiWKiLmyMhtRCglKw6RFoKY1Vg1ao8huib6ZOdkq1SIy8AthH96hivGQGPnVH5lCH2kKkzwnhZgPTo0bN0YikWj5wRkZCQ+M8T1gJbeQfbNmzbh9+3YcJ+g5c+JG5cVm/vzp2NlV4NOnj8hkUsaMGcTnz89xd7/NrFkTKFgwP7du3aJTp07UqFEDDw8PWrduzcePH1m4cCHW1tZYWFhSr1499PUNOH9e8Ods1aoVcrmca9euUaBAAVxcLtG79wiWLVvPrl0H2LBhB23b9iZnzlKcPn0h6Set4/8Se3t7Nm7cyPbt23n69ClDhw4lODiYvn2FYLlevXoxZcoUsf3o0aM5efIkS5YsEZNY37lzR4z2jIyMpGPHjty5c4edO3cSFRWFj4+PlsGpRIkSNG3alIEDB3Lr1i2uXr3KiBEj6Nq1a5wI1C1btpAzZ06aNWuW7HNUq9WpZvBINQGnmaZs3rx5vCUkNm3aRL9+/YiIiGDw4F64u9/Gx+cJw4f35d27d5QpU0bcL2/evHh6ejJ79mwuXbokRl2dOHEiVq9qPn/+EmeKU0NYWBhfv34Ti87H5MnfY3ny91jkoYiLhpgh+82bN8ff3x+1Wk1UVBR//PEHwcHB1KolKPNt27bh5eWlpd4TW3EgJiqVirCwMKRSKceO7aROHeEJIjQ0jBo1WjJhwiwMDPQZOXJkmoi3mPxMvMU+/r1792jRogXe3r7MnPl3oi2xmZWpU8fg6XmXY8d2JWv/O3ceaL1esWIjT58KEdzp5YaQGFQKaaLrn8bOM5jWEajK4G9EhYUiz5IVs3JVUSsjUX77ilFeIbhIZmiMuV3dtB3ET5DL5ajVaq1ALCsrSyIjBZUWU8RpHoySYoGLeR2qVKkSJ06coGvXrgAoFHrkzPnzKRypVMqpU074+DzB3f0WDg4TkEqlZM9uxujRg7h58yTv39+nTp3qXLt2jYIFC6Kvr0/JkiXx9vbm4sWLeHh4cPbsWfz9/fnvv/+4cuWKaOGoWLEix44d49GjR6xdu5bbt28TGRnJq1evmDp1KiqVmj/+GMbnz6k7razj96RLly4sXryYmTNnUq5cOe7fv8/JkyfF6cq3b9/y4cMHsX316tXZtWsXjo6OlC1bln379uHs7Cym0/Hy8uLw4cO8f/+ecuXKkTNnTnHR1BQGYdavePHiNGjQgObNm1OzZk0cHR21xqZJG9anTx8xUX9S2LFjB6VLl8bQ0BBDQ0PKlCnDP/+kzOCRanng7t69K0ZIGhkZ0bhxY3LlysXZs2eRyWS4ublhbGzEs2dX40Qk9us3moMHj+Pm5ibmN9MwcuRIMSdM0aJFef78ubjt+PHjtGjRAhubnNy/fy5OKPuUKfNYv34benp6CYqKn5Wfip1/aebMmcyZMwd7+6EsXbqO9evXM3bsGEJDw8iRw4J69WqwevWCJJd+GjBgLPv3H/1+XrupVq0S2bJFT8uZmJhw7NgxhpxyTaiLDEFzk/Lx8SFXrlyo1Wry5cvN/fvnf7Ln7827d96Ym5sxfvxsdu/WTs8QFRVF83IzU/2YKmP9JOWCS0r+N5UcIrKkT+qQkLfueP4bN7ll4REzkJtkJdTLEz2zbOhlMUv7wcQgtlVNkwtxyJA+zJ8/DYAePYZy/LiL1hN2zAceiTJpueBiX39u3rwpiqd16xbRpUv8dXuTw9Gjpzl37gpXr97Ew+OdKESzZs3KwIEDmTNnDgYx8oStXr2ayZMnERwcgpWVFW/fvhV96qL7PEqrVq0oUaII165lbC3rjORXyANXaOpfyFI5D1xUWBjufyU+D9zvytKlS5kxYwYjRoygRo0agDB7t2bNGubOncvYsclziUoVC5xKpRJFFoCRkQHOzs6sXbsWD4/XuLm5AbBz57p400lo/IeCg4PjbLO1tQXA0NCQLVu0s3g3b96cUaNG4eX1gZYte+DpKQQN7NjhRN26bVm/fhuAeCFKDTRz387OwsXo7du3hIYK08aOjktYv35xksXb5s27RN8WgObNuzFunIPo92ZiYsK3b99En5vMhObmZG1tjb+/PwqFgs+fkxbx+zuSJ08ujIyMWLv2b/79dx0FCuQVtwUEBKT68dR6smTlgstsvm8AX+7Fn8PJ+9BOXiyfiec/q3i16k/871yJt11aEdvy/OrVKwDk8uincSMjITw8tQpZx37ArFKliphWZMiQ8bRt2/uHbitJoWXLxixd+ic3b57i40c3zpz5j44dWwFqFi9ejLGxMeXKlaNXr17Y2toycuRI1GqoWrUivr6+FClSJM53u2XLlnTq1ImnT1/SsGEH3N3j9w/UkfFIVCCJSuXl94mrShGrVq1i3bp1/P3337Ru3ZrWrVuzcOFC1q5dqxWBmlRSJOBCQkJo2rQpMplMy7fn9u0zvHt3j7t3XfD1dePuXRe2bFlBnTrV4+0nKEgQbvEJH80ceEhIiKhcY7JixQqMjY25efMuVao0Q6VSMW7cLB48EDLoa6Z27ezs4lxUIyIiaGD2gb5l9BLMdB6bfPnyYW5uzuvXnoBQIgOgTp1qlC2b9FqMe/YcZPx4B1EEatiyZRevXgkXO838f2bHzMwMGxsbQkNDU+0G9jvQokVD7t49K/rWmZmZpWp5LU0lhuSmEEmM9S2pzvcpIdxPO6pMP4fghxLq8x5VWIi43sDKhvRGI+L8/f3p168fAAMH9hS3f/oklIrT+IfG5+6Q1PcytojrvfIM3t7eVKtWjYsXr1GgQGV27HBKWqeJoFKlcmzcuJQ3b1xxdFyCrW1RHj9+zD///MOzZ89o1qwBnp6unDixh+HD+/L27VuyZ8+OlZUVw4cPF68Be/bsoUGDBri6PqRSpcZ06tRfd33Q8X/Fhw8fqF49rv6pXr261pRwUkmSgBs6VEhk+vz5c3Lnzo2ZmZlWwe9z5w6wbNlczMxMMTExoUABITKsQIF8tGuXcLmsW7fuIpVKKVeuXLzbE0r2q+HRo0eYmZkRHh5OREQEQ4b0pmXLRsyePZHXr+9QokQRbt++zZkzZ8R9VCoVpUuXZtGiRYwcOZLChQujDBOEpKvjWHGJjwMHDtCxY0f09PQICAhg8uRRODvvSFaVgc6d2zBmzCCGDOnD33/PZP36xfTvHx2tuHDhQlGhp7XvW3KJOa4WLVoQFaUSk+HqiEZjCU5OQuyfkVTrW1L83yB9AhcAwny9CI9Vy1SqEFIOqCMjsGrSHrNy1cjTeQBGeQqkz6BiYTttGXXr1uX9+/cMHtyLvHmjhaSFhRDhplTGP0eqln+P8k5iHsfYIq7e+M2El+rEtm3bkEgkjB49nSpVmuDllfybwY/o1Kk1ly8fwc/vGb6+T/D3f8GuXevFh+65c6eye/cGKlUqR3h4KGvXrqVgwYKoVCoxutXNzY0KFSrg4nKJIUPSrg62Dh2ZjcKFC4u102Pi5OREkSLxFwtIDEl6ZN+1axdfvnzh7Nmzok/ZsmVz+eOPDnh5fSBfvjxisfCk8O6dd4rmxwsUKIC1tTWhoaGcPn2R1as3U7x4Ef75R7COzZs3lfbt+2Jvb4+zszNFihShe/fuvHjxgl69OhMVFcXOnfvBfQbVqlXj6NEiP8yO7O7uLmZVdnLamGCi38QglUpxcNC+mHXp0oYJE4ZTokQNVqxYwYQJv87FThMwcvbsJXr1Sl4ald8VZ+ftVKrUmJ07d9K6dWu2zH2YIePQiLdII+lPC9Or5D+u1JHahPvFyMckkYJaRej779NuEgnZK9ZMn4H8hBcvXqBQ6NGpk3ZRbH19wQdMqVRSxmFVvPtqRBxoB0/9jPj8dVde9ScgIIAePXqwb98+ypWrzz//rKFp0/qJ7ziJxPZz09C0aX3xuPb2M9m6dTfLli0TA3dKlCiBq6srxYoV47//DuPgMB4bm5xpNk4dOjILs2fPpkuXLly6dEmcSbx69Spnz56NV9glliRPoZ44cYKoqCiMjIxwd79Nnz5dkMvlYp6s5ODvH5Bgor7E0rBhQ8LDw+ndWwgffvbspSgy69WrSe3aVXFzc6Nq1aq8fPmSvXv3UrhwAVasmMfq1Qu4fv045cuX5vr167Rq1YrcuXNTr1492rVrx/Hjx7+P05+qVavSr18/DAz0OXlyT4rEm4Z167bSs+cw3r3zFtdZWVmipyf/ZSI6NVa4qCghK3vs1C3/D/j7B1CmTF0KF7ZjwICxPHzoprXd0tKC58+vIZVKWbBgQYqOpdaTRS+KpE2dqvQkqOSS71OjP5k+1dMu2ZbWmBYvQ/4+oylqP4/ik/4mV+seZKtYA4taTSg0dFraD+AHaPJIus0bS8+ePYmIiGTQIO2oYk1eynfvfpzEO7mWuPioNmIN//33Hy4uLshkMrp3H8LJk+dS3nEKWLx4FgqFghkzZsSpoa3Jr7l8uWM8e+rQ8fvRoUMHbt26hYWFBc7Ozjg7O2NhYcGtW7do165dsvtNkoA7d+4AFy8e4uNHN7y8HpA9u1myD6whf/6KhIWFUaxYygpQr1ixgpo1o5/Oly2bq/WkeOjQP7Rv3wJ/f3+xDNS6dQvF7cWLF+HcuQO8enWTDh1a4uXlxaVLF3F2dqZFixa0b98ea2trbt68Sd26NXjx4jqVKpVL0Zg1LF/uyNGjZyhTpg6TJ88R15uYmGgFYKR28t60QJPROl++3Bk8kvRnyJDxvHvnxefPX9i//yh16rQhd+6ydOrUn7NnLxMQEMjUqUJ2e40fXEJoCbT4FoVcXJRGekn2f0tK8EJ6Fa0HkMhkGObKh8zAEIlURtZSFbFu0gHLWk1QmGVPv4HEIvZvT5NYvGtX7YtvqVJCFL3moe9HpKaIqzhoGQ0aNOD58+fo6ekxcKB9hvqZSaVSNmxYTFhYGGXKlOHJkyfitmrVqmFoaMipUxkrMnXoSA8iIyPp168f2bJl499//8XV1RVXV1f+/fdfypcvn6K+kyTgChXKT5kytslOUhsfGpEVs8xQcpBKpWJxZSDeKgiaqE5jYyOOHdsVrwAzN8/Opk3L+PTpKZ8/v+DFi+tky2bGwYMHUSqV7N69gYMHt/3ULy8pLF06B2Njob8NG3bg6PgPKpUKf/8vVK1aNdWOk5ZobnCaTNK5c///TY0YGGiXh5FIJBgZGePicomOHftRoEBFtm7dTd68edmzZ0+8fWgEWpz1MQRblLEClZ4UlZ4UpZFeknzZNCTK+iYXfN9SUsfzdyG2/2nnzp0BePRI28parZqQaPvMmTOJeuBKTREHQpDVjBkzCAoKxtFxR+p0mkzatm3GP/+sJSIinIoVK/LwYbTLQOXKlXn3zlsUwjp0/K7o6emxf//+NOk79ZRYMnnx4jq5clnz+PHjnzf+CYcPR9fkiy+0ftKkkRw58g9v3riKF9qE0DjnWlpa8Pr1bR48uMDTp1dTzbdEpVKJT8hlytiSK1f0FPKkSX9SvLgQsRJf5G1mI+YN/sWLF8hkMrHU1P8TO3as4d27e1y/fpyGDWujVqv59u0bN27cwMHBgf79++Pk5ISnpyc5cuRIsJ8oYwWRZoZEGSvERSPYBNEmF5ckBSIopCiNZajkP98npu9belrgMjMxRVy9evUAtPKiAWTLlhU9PT1u3LgBxF++LzapLeKmTp2KQqHIFFVRWrRoiJPTRiIjI6lUqZJYv3rYsGEAFC9eg50792XkEHXoSHPatm2Ls7Nzqveb4QIOhNISMac7e/fuTceOHZPcz/79+8WapJs3x82iL5VKqVmzarIsiHnz2mgVK08pxYvXwNy8GBcvXuPAgaO8fKldA+3Tp8+UKFGCiRMniusyYxSqphyZhtev3TExMU54h98cExMTihcvwn//bWbz5mWEhYUxZ84cVq1axa5du1i4cCFKpZK3b9+iVqu1plHVejKijBWiMIsp1KIFW8rCQVVySeIS96Zj2pBfCc1v8Pbt2wDkzq1dasfIyIg2bZry+fNnnJyiU3ukp4iTSqUUKVIELy+flHeWCjRsWIeDB7cRGRlJ9+7dCQoKokuXLkyfPp2IiEhGjJhCQEBgRg/z/x5NqbfUXnRAkSJF+PPPP+nYsSPz589n5cqVWktyyXABd+fOfT588OXbt2+iRWrHjh3JMjkOGjRI9Blzd3+TmsNMEfv2HeHEibM8e/aS58+F5J/W1oIYbNu2Nx07tooTvWtnZ4ebm5sobDOzeHuwIvrm9O1bULLSqfyONGxYB4Bjx47x5csX5HIZrq6udO7cmXz58rFo0SKalpmepD6TM10K0ZGnifV9U8l01reEsJ22jIoVKyKRSLh69Vac7ZrApq5du3LhwoVE9xtTxKnkcZefETNKtX79+kRERJAtWxF27txHw4YdKV++PqtXb06Wb1xg4Lck7xOT7NmzAXD//n2yZMnC6tWrmTNnDo0aNQKI933UoeN3YfPmzZiZmeHq6oqjoyPLli0Tl+XLlye73wwXcJoakSCIlqCgoGT1Y29vz9u3b2nbthn//ruOhQtTv1RRchk40J4ePYbSpEkXqlZtxoABYzl3Lrq8UqlStWnRohF37pymevXKQPTUqe20ZZlSvGnQiLepU6dSq1YtQkNDKVgwf8YOKpPw+PFT8f+BA/+galWh1JzGF+jq1ata7dWKlFvYfoQmbUhiRaBOvCVM9UVbMTMz4+7dh3HcNdq1a065ckJS71GjRonrk+ITF5FFe0msda7ioGVUHLSMlStX0qBBAwBGjJiCq+sD3rx5x4wZC8ifvyIHDhxN9LkuW7aBfPkq0KFDv2QHRhQvXpiJE0fQsqUg2O7fv8/EiRM5evQoefLkokmTusnqV4eOXwEPD48EF43feHJIUi1UT8+7mJpmSfbBfkSvXsM5cuQ0hQoV4t27d+jpycUKDT/j0qVL1KlTh9y5c/HgwflUDbJIKREREVhZCRn4R48eyIoVGwEhAnbo0OjpUblczuHD/9CiRXdy5MiBt7c3pWasyJAxJxbNDcnT05P8+fMDkCOHBffunU3VII9fFZVKxb///oeJiTHNmzckT57y2NjYiNHMvXr1wvdedOCN0sww2dUUfjiOGHnflIaJE28RJkLReh0JU/PTUzZu3MiYMYPi5HIEyJmzFGFh4fj6+mr5PCb3gUyijJ6SkkZ9n6L6QYCJq+NYDh48yMiRI/Hy8sLExISaNWty/vx5wsPDMTMzpXnzhqxZ87e4z9atu1myZB05c1pRp051/Pw+s3fvIbFSjKWlOSdO7KZQoaQnUfb1/cTq1ZtZv3471tbW+Pr6YmaWlWfPrmaqa3Za8CvUQi067i9k+qlcCzU8jBdLdLVQY6KRXJoqUSkh0/xqduxYQ58+XXF3dydXrlx4eycuo7inpydt27b9nu17X6a7EMQsD/bp02eKFCkIwOzZi9HTE7YZGRmhVCpp0aI7MpkMFxeXX0a8gTBVBHDkyD88f35dJ96+I5VK6dWrC+3bt2TAgLFidn4vLy8KFizI1KlTaTHQigefNvPkwykCg7x/0mP6ofOB+znr169HJpOxfLkjd+7c19qmVCoJCwsH4PTp01rbkpsOSC0XRHWU4XeL3HernGbKNTYVBy2jXbt2YrWcoKAgTp48yaVLl+jSpQuhoeHs2nWATZv+5fNnf8qVq4e9/Ux8fT/h6vqAJUvWsn27E5GRkXTs2BEHBwf8/PypWbM1vr6fkjz+CRNmsXr1ZpRKJe/fvycyMpIBA3pkumu2Dh1pwY4dOyhdujSGhoYYGhpSpkwZ/vknZYFGmeqXM3XqaCQSCVmzZk20Wi9btixfvnxh9OhBqRpkkFq8eOGOTCa8zfv3H+XNGyHB57dvwfzxRycARo8ejVQqJWfOnDx+/JjOu88k2F9mIOYN6Pjx49y4cYP69WtRs+avkfIkvdmwYTvHjrkAwgPH+/fvGTJkCDdv3mTUqFH4+fnx8eszbt9by9vXF9JkDJrEvYlrmyZD+K1wmzcWqVQqPk3LZNpT33K5nKxZhWtYfEl9U5rTUSPmIk2ERWmQsIgrWbIkkZGRFGszmmJtRmNnZ8eePXs4duwYABMmzKZw4Sp4egqpnCZPnkxYWBg3btzg06dPREYq+e+//5g1axZ79+4lLCyMBg06JGm8q1dv5vTpC+JrExMTAPr27Zq8N0CHjl+IpUuXMnToUJo3b87evXvZu3cvTZs2ZciQISxblnwXqUwl4GbO/Bu1Ws3SpUsT1X7u3Ll8/foViM7xltno0mUgUVGC30h4eARqtQpDQ0OCg4PFJ0+hfmgUXl5eKU5onNbEvvFoUresX78wvub/98yc+TeTJ0dHmpYuLSR6nThxIr1798bY2IiXL2/y7v1N8uWrh8fLk7x9fT7Vx5GUxL1pgVoVxadLJwl0u5eh40htNFHvL17E9WPp1q09IFy8Y/vJpbZfq0rvxyKuyrBVGOfIh3GOfGKwQ4MGDbh9+zY2NjZa7b28vFAoFFSpUgULCwtxvZ+fn2gx8PZOWoTrn38uJjw8uqpMSEgI5ubZsbS0+MFeOnT8HqxatYp169bx999/07p1a1q3bs3ChQtZu3btrx2FquHTJz+cnA6RN29e6tf/ca41pVKJn5+fWKKlYMG81KhROT2GmWQ0UaSvXr3ixYsXhIdHiElct2zZhVwup1q1amL7zBywEJ/V4NSpU8jlct2FOB66dRvEqlWbxNfdu7fn0qXDHDnyD1KpBJlMyvnzBzEzM0WhUHD/viO589XE0/0cysi4eQyTg8b/LSnBC5D64f9+V13wu3Kar7+JgNP8Trt0ERKGjxkzjU+f/LTalC0rJD338/OjbNmyaTqepAacaIIdKlWqxPv37zl//jwODg4cOXKELVu2iO0uXLjAzJkzyZ8/P5aWlhw+fBhb26IcPpz4JMFHj54mMlLbWU8qlXLgwNakDVqHjl+UDx8+UL169Tjrq1evzocPiXMXi49MIeBUKhULFqxCrVazZs2an7a3s7MjR44cdO/eHYBq1SqnqBZrWlK2rBDAkDNnTooUKYJUKqVly5Zkz54dqVTKjBkzREvcrybeJk2axJs3b+jQoUUGjChz07JlD06eFCxpWbOacvHiIdFZvGbNqty5c4bnz6+LPpEazMwLo1JFEuD/KlXGoal7mpGEffyA32XBD8uqYZsMHUtqo0nOGRYWTtu2vbW2de3ajs+fn9O2bXNevHjBiRMngMz5O69bty6zZs2iZcuW4rpNmzZRr1495syZg5eXF40a1WH79tVcvXosSe4SGzcKVjuNtdLExJjHjy9Rpoxt6p6EjhQhUabNogMKFy4cb9F6JycnihQpkux+M9zbZcyY6WzfHp3wskCBH0+Fzp49m3v3hKf4pk2bAoi+ZJkNDw9PDhwQ/Ez27dtHr169ACg1YwVWQ6ZjBewJhz2Z8IIek/jE24oVK3B0dMTAQJ+1a3XTp7G5desuAIsXz6Zv365xHLULFMgXZ5/Nm3fx+O429PX1Mc2WP9XGEqX4eeLemGgiGyXK1EklomdqBkDujv1QmJmnvMNMxLRp05g7dy7fvn3D3f0NKpUqzmfdokVDnJ2Pc/78eZo1a5Ym45AohWlUVdSPI1Nj4uoYvx9eREQErVu35tSpUxgbG7F9+2rq1KmmFZCVFLp0aYeb2wvCwsLJkycnu3ZtyJT+yjp0pBWzZ8+mS5cuXLp0SUwRdvXqVc6ePRuvsEssGW6Ba9euufj/oUOHKFmyZIJtPT09mT17NpaW5qJ/Sd68NmJ+rdTE1/dTvOW4Ekvv3iOoUKGh6OR89uxZIHM+ff+ImOKtRYsWSCQSTE1NGTNmDAEBAeTNa6OLIouHw4f/5datU/Tv3/2H749KpWL9+m0MHz6J8eMdMDU1xdvbG4XCJB1HGxf5T7768ZWISsgxX2ZgSLGJf5OlaKnUGl6mwHbaMiZOnEhgYCCzZ88mPDyCunXb0rBhB63KAmXLlkQikbBo0SI6dcqcD5saFixYQJYsWTh16hSlS5fgwYPzNGhQK9niDQTXgZcvb/Lu3X1cXc9SrFjhVByxDh2Znw4dOnDz5k0sLCxwdnbG2dkZCwsLbt26Rbt27ZLdb4bmgVuzZgve3j6sW7eN0qVL8+DBgwTbKpVK/vjjD5ycnDhz5r94C9GnJjY2ZQgJCcXN7Qo5c1olef9s2aLNou3bt2fnzp1UmLMuNYeY5sS+IS9cuJBJkyYBUKtWFfLksWHQoF7iNLGOpLNw4WrmzxdSxuTMmZP79+/TuVfKfYNUCkE0Kg2liSqdFR/K7+kq4rPC5b93hitXrmBra8sDTy9MipaihDoYT09PWrduzVnTgnF3+g3R/EZUKhWWlpb4+/sDcPz4bq16y5o8lyD4w7bacjhuZ8lEM00ljRSEd2IscLGtb/v27WP8+PF4enpiYmKMvf1Qxo4dnGpj/H/nV8gDV2x02uSBe75ClwcurchQAWdpWULMjfXgwQPKlCkTb7uwsDCyZctGeHg4arUaa+scPH16Nd62qUFAQCAFCghWvV271uPt7YuVlQUtWzb+6b5BQUFUqNCQT58+i+vy5cuHUY/RaTbetCAha0qOHDn49OkTr17d/L8sWJ8ahIWFsX//UXx8PrF16268vD6wfft2/vjjD+o3X5Qqx1AppCgNpcL0aRIDGGKiEXHKyBCC377COH9RpAp9ns0fp9VOqtBHFREuvi7QfxwGVjaxu/ttcZs3Fh8fH3Lnzo1KpcLP75mW5fXo0dOMGjWNL18CqF69OlevXk01a7wsVEjsCyAP/XHb2MJtx44djBo1Sozmz58/D9evH8fAIHVv5P/v6ARc5jvvtCYwMPH1fZP73mTY3Nf69dvQJCI2MjJKULyBYPkJCwsTpyPbt087p/kNG7aL4g1g795DjB/vwNixMxK1/7dvwVrizdLSEoPOQ1N9nGlJfOItIiKCHj168OnTJ/74o6NOvKWAUqXqMGLEFObOXYq3tw/Vq1enV69eqSreNHVPUyLeQBAE8jDwu+KC1/5tvFgylcKPtNOc9OrVmU8fHuLufhsvrwdIpVIMr59I6Wn8UthOW4a1tTVTpkxBrVYzfPgkre0tWzbm9evbFCyYlxs3bvD8+fMU54KD79UZohJXODymeFOpVDRv3pzevXsTFhbKiBH9mTt3CjdvntSJNx06UgEzMzOyZcv2w0XTJrlkSBDDjh1OTJkyT3zdsGHDBNseOnQIBwcH8XWPHh2YN29qmozLw8OTadP+El/Xr18LZ2fhRuTn50/27EL4/I8isHLmtOLVq5vY2tYiIiICvWqNkOop0mS8aUF8N5X27dtz8OBBAAoWzMeKFfPitNERP58/+9O9+1AKF84vRqFGRgp32lmzZjFt2rQU+RclRFIS9/4Mj33rCPL1EF8fPRpdR7N+/VosWTIbqVRK9uxmKJVKVCoVuXLl4sy8sb+cz2dKsJ22DLd5c3BycmLPHmemTh1Lnjy5tNps2LCERo06MWbMGE6cOIFbKrxHKtnPy2rFJCgoiOLFi+Pl5UXlyuU5fHiHTrTp0JHKnD+f+vk8Y5PuAi4iIoLx44ULfs+ePWnSpMkPHXs1OdM0VK9ulybjGjfOgS1bdgFCjiKVSoWb23OtNmq1mk6dBvDhw+Mf9tW//xgiIoSklV/uXsekcElkBpm/sGR84s3Hx4eDBw+iUOhRtWpFnJw26oIWEom/fwBly9YjODiEW7fu8vy5O2XK2BIRIQi4Dh06pIl4g6RHnv6IIF8P1FGCOsidOxebNy9nypQ5uLm9YMGC6VrncOGC4NrQuHHj/yvxFpM9e/ZQsWJFevQYwqVL2r5ue/cKr93c3MSI1eSKuKSkaNBY35RKJWXKlMHLy4vRowcya9bEn+ypQ4eO5FCnTp00P0a6C7gbN1yJjIxkwoQJLFz48/QTVapU0RJxxYoVSpNxlS4dnZNo0aJFjBs3Dh+fj3To0IEsWbJw9epVXr58ia1t0Z/2deXKTfH/0Pce+N+6iGXtpmky7tREsCBoi7iOHTsCUKNGFV3izSTSu/cIgoNDGDBgAE5OTri6PsDV9QESiYQZM2ZQqlTaRGWmlnDTYKDQIzRUUAt//jkJO7vynD17IN62mujLtU+8MLSJmyrld0cjxLJnz87bt+/F9YGB3xg3zoF9+44A8PbtW4YNG8b69etTLHSlsVKHJJQeBITEwx4eHgwa1FMn3nRoIY2E1H42V6dyQvBfmYCAAG7dusXHjx9RqVRa2zQpxpJKugs4TcqPFy9eJKr9qFGj+PDhA8WKFWPAgAEMGjQOV1eXeNvu23eEkyfPsXbt32IFhMTw6ZMfN27cRiKRYGVlhb29PQqFgqdPn7JkyRK2bNnCtm3bKFu2ZII3rpgcPvwPo0ZNw939DTIjE7IUT9ss7KmFWq0mIiIChULBpEmT2LJlC0FBQQCUKVMig0f363HjhivZs2dn06boagydOnVi5cqVWFtbi+vqNv07VY4XXXUhdaZP3984jP/TK9jZ2XHt2jUkEgmNGtWmdes/+PYtmBMndseZetOUCqsnDeRGPH1G+H9CL5s5EsnvbcVV5sxPhLsbERERhISEUbiwHVFRQqRB3bo1ePHiFRs2bOD9+/e4HT2aZBEnUX6/4UYlvmrGnTt3OHDgAMWLF+Hvv2cm9ZR06NCRTI4cOUKPHj0ICgrC1NQUiST6IVsikSRbwKX7VVSjPBMbdSGVSvn777/5448/MDEx4eNHv3jbOTufYOBAe/bvP8q6dduSNCZ7+5k4OR1CrVZz5oxQSH7EiBGsWbMGAwMD1qxZg0wm4+TJPT/sR6VS8fmzP9Wr2zFtmvAUXL9GNQxy5EzSeDICt3ljMT69C319fZo0acLChQvx8/NDKpXSt2833dN6MlCr1WJaCU3FhR49emiJt9REI94ijVLHAhfg8QClUsm1a9cA4XyKFKnG5cs3uX//MffvPwHA0/Mdjx8/49MnP6pVE/I6Nm/eXMua++nKaZ7+ZY/7+vkEvXRLlfFlZgyscxMWFoaVVUkKFKhIVFQUMpmM6dPtOXhwG1evHsfMLCvHjh3D29s7SQENscVbYqxv7u7u1K1bF6lUgpPTxpSeng4dOpLAuHHj6NevH0FBQQQEBPDlyxdx0dwjkkO6C7iwMME3LDg4OEn7VahQgW/fvjFwYM8421QqFcOHTxKtbg8fJv4GsWTJOo4ePYNcLmfWrFlxprUiIiJwc3NDT0/vp1a9gQPtKVy4Ch4enqxdK0w3vrGtleixZBSam4eHh+Cofvr0aXHb9u0rWbr0zwwZ169O48Z1xf9fvnxNu3btaNNGu5RUaljfVAqpsHwXbyq95Pm/qVUqPr+8Q1W9V7Sw/oKZkR5SqZQ5cyaLbTRpfwAOHjxG584DKFeuPvXqtWPw4Amo1WqmT58uTr0DqCLC8bt0UnxtlOfH1VZ+B7Lb1SZPl4FYNWwjPm3nzWvDuHFCRLqZmSnly5cGhKomkHDqntiI+d4SGbjg7e1NyZIlCQkJYc2av8mb9/8nvYsOHZkBLy8vRo0ahZGRUar2m+5TqGZmppibZ+fQoUOJ3mfp0qU8efKEdu2aM3PmuDjbR46cQkhIKJUrV+b27duULFksUf1euXKDuXOXAsKUbnxlvDSOiGFhYYwePY1Vq+Yn2J+LyyUAKlSIjqqVGRknaiwZhdu8sSiVSpYtWybmgopJnjy6i31yUKlUnDt3BXNzc86fP49ardZKldO42hyURnqQSv5qKr2kW95UclBHReH/0pWPrmcI//YF1CrWXohuo6+vYMSI/jg4LESlUqFUKsmdOzfv37/H0fEfsZ1SqeT8+SsoFAqmTZsmrl9YrQijDl1CYWFF1pIVsKjRKKWn+ksgkUgxKVQCCpUAiRTfMwfF6jEadu1aR8GClVm6dClTpkzBzMzspwENstAfJ+utOGgZro5jCQsLY8eOHRw4cICHDx8SHh7OsGF96do1+VnfdejQkTyaNGnCnTt3KFgwdROcp4mAW7HCkSZN6lG8eNwirX/+uYTPn/0xNEx82PrKlSsxMNDH0XFJnG379h1h164DFC5cmJcvXwIwZ85SLC0t6Nkz4ehWJ6dDDBkyHoBmzZolWINVo5hr1LBj4sSRPxxny5aN2LVL8JEzNTWlTp06vJKkrkN5ahMQEICNjQ0hISFa6wVH+3G6sjfJ5NGjp4SHh2NnZ0fp0qXjbFca6aVqsIFKnjyr24fH5/h4LeGcbeHhEZw+fUHLZyN37ty8fPmSvXv30rhxY3LkyMHixYvJlSsXHTt21PKLa9e9J8pvAeRs0RWzsmkTQZ7ZUX4LQCKRiNY3DQYGBowcOYCFC1djaWlJgwYNOHDgQBwRp7HMlbZfFidgISafX9wm8N1TTE0dCA4OjuMoffjwyTRLwaRDhw5tDh+OjkBv0aIFEyZMwM3NjdKlS6Onp6fVtnXr1sk6RqoLuOfPXzFr1iJWrdrEq1e34mw/dUrIjVK+fAUOHz6cqIF//vwZK6sc8aZcmDdvGXp6eqxYsYIWLaIT/LZp8+Ooz2/fvon/d+/ePc52lUqFra0tz58LqUSuXr1F27Y9yZHDkuXL58YrbFasmMfhw6cICgomX758vCpd76fnllG4zRuLn58ff/zxh5Z4MzIypFWrxowdO0Qn3pKJSqXi2bNXAHF+qE0qOhBlrEBllPrPTtJIdaJFnEouVFjQyy4Ul7du1AFflwNismy5XI5EIiEyMpLp0+ezYMF0Fi5cTWSkkhs3bmBoKKTF0Tw4TZyo7SOpESDmVerg63KIqNCg1DrNXw6DXHlRq9XkzVueUaMGMnHiCHHblCmjKV68CNOn/8WpU6eoXLkyDx48EEVczGnVR0vHUnFQ/Na5qIgwPC/uRiKRkDdvbooUyU/Pnl0oWDAvq1ZtwsXlEu/ff6B5825UqlQOQ0MDbty4w/Dh/bWm+nXo0JE6tG3bNs66P/+M644kkUjEAKekkuo+cDY2goP2589fxFxogYHfWLHCkYED7cmaNQsSiYRr167RuXPnn/anVCoJCgqKN33H58/+vHnzDjMzM63pqdWr5/+05Ne9e4/E/83NzbW2qVQqqlevzvPnzylRooh4E379+i03brhSvbp2JYg5c5YydOgE3NxesHWr4M/yJiLzWt4WVClEqVKlyJEjB8eOHRPXy+VyDh3awfr1i3XiLQV06zaYIUPGI5FIGDw4up5k0zLTUSvkqPRkqXasmCWzEoumPFaUIejnEqbIZVlM2L9/Cy1aCNP/SqWSMWMGAYL/XrlypXjx4gYbNy4ha9bo39arV69YsGBBHGuPhux2dSg+ZQnmVesn9xR/ed7v38bQoUMJDg7hwIFjcba3a9ecJ0+u0KlTa9zc3FAoFJQqVYoRNvpxLOOaIIXwiEB8n14mMPAtSkNQmSrQy5IN49xFWLlyHkeO/Mv8+ctp06YXLi6XUCgUZMmShZs377Jq1SYWLlzNpUs36NJlIFu37k6X90GHjv8nVCpVopbkijdIAwuciYkJMpmUqCgVy5c7kiWLMdOnx3+B79q1688H+N0SEBISt8jf5s1C4l2FQiFGcpQrV4oePTrGaRub9u1bcvr0Bfz8/Fm9ejXNmjUTt9WuXZubN2/StGk9du92JCwsjL//XkVERCQhIaFYW+fQ6mv9+m2EhISyZ4+zuM4of9zp48zAxuZ21KxZE6lUStGihVi4cCa1a1cDBOtp1arNKFgwL66uZzN4pL8eGzZsZ+HCNfj7f6Fo0aK4urpiYmIibld/F26pNXWqEW8a37fE9KuSC5n7Vd8Ng+4bFpBl1xq8Dmxn8OVj/PXXVNq3b8HGjf8yceIIHB3/4evXQNq168O7d/dp2LAOb97cJSAgkCNHTjF+/CymTJnC6dOnOXfuXLzHlGRyN4L0oHPnzqxbt46wsDDWrdvK0KF947RxdFyClZUlp09f4OnTpwwfPpzhw4djbGyEmVk2smbNSmRkJL6hUr59cEcdpUQ/Ry4K9RkPSDGv2gAfl/20aROdkqBkyZLkyZOH5cuXU6yY4Bt8//59nJ2dyZEjBxMnTmTKlLn07NkpzZJK6/g1kEZF19RNLdSp3J8ObdLkF1unTg3OnbvM/PmCNcrMzIyNGzfStm1b3r17x9KlS2nYsGGciLyEyJo1K8+fv4qz/s6d+4CQ1fzvv4Vovpo1qySqzxo1Kn/P63aZQYMGiev379/P1atXqV27Krt3OwKCr4qDw4QE+7p//xy1arXG1/eTuE6eSYMXRowYgUQi4f7981plfkJCQqhaVRCxnz75i1nidSSORYvW8NdfyzEwMKBYsWJcuHBBS7xpUOmlznsa2/KWGPGmNIwWb+oYv/yuXbuyadMmPn3y459/9nLo0D+0b98SgOvXj2NrW5OgIO2ocTMzU3r06MCTJ8/YsGEHly5dwsTEhLNnz1KlSpVUKRH1O6CZAq1duzYKhQJPz/dMnfoXCoU+/fvHdd2YM2cyc+ZMJiIiggMHjnHkyGmePXvBly+BfP78GZlMirGxEZXqVOPGs/eE+HiKn2W2ytUxLVWOUK83NDSOwsTEhMWLF8eJni9XrhzlypUD4P3798yfP58zZy7SrFmDNH0vdOj4f+PcuXOMGDGCGzduxEmd9vXrV6pXr866deuoXbt2svqXqDVOLz8gMDCQrFmz4ul5F6lUglQqjRMOe+fOfS5evM7r12/YvfsgMpmMChUqYG5uzrZt28iRI0cCvf+cypUrc+/ePfz8nonrgoKCyJ+/Ejlz5uTly5dYWFgQHBzMlCmjtXxMYrN69WY8Pd+zadO/gGAd0FgHIyIiMDQ0RKVS0bdvN2bOHI+ZWeLy1QGYmxcT+1IoFISHh2eqm5jbvLGUKVOGJ0+e8OnTU7FkmFQqpXfvERw+fApT0yx4et7N6KH+ctjZNeHly9d8/fr1hzkO6zdYkCILnEohCECN5S0pfUWYxBVvAHdnDMXIyAi1Wo1Coce1a8coVEgI6tH48x05copJk7SDeJo06cKtW9rflRw5LHn06DFGRkaYmJhkqu9/RqERcd7e3ri4uDB48GAiIiI4fXovFSsmPcn30qXrmDNHiJ7PXrUeVvVb/fTYCVG5cmXu3LnDq1c3MTfPnuSx6EgcgYHfyJevwk+vDxmB5v5ecvBfyPRTtyZuVHgYTzZMzZTnnR60bt2aevXqMXZs/L/DlStXcv78ebHWeFJJsjmgcOEqFClSlbNnL4s5oRo37kyjRp2YO3cpu3YdwMrKivv373Pz5k2OHz+eIvEGYGcnZDF3d48uqD1q1DSioqJYuXIlmzZtEvPKffv2Y2fpGTMWiOINYPLk6BxXhw8fFgXY1q27GTZMcMzetesAZ89e1kqbEB8tW0anSLC3t880Ny+3eWPFC3m3bt1QqVQMGjSOYcMmYW5ejGzZinD48CkATp/em5FD/SVZv34bL1++pkWLFpiamnL+/HkCAgLibZsa06dJ9Xn7GS9evMDWViglFxERybx5ywEhdU7lyo2oUaMFpqYm5M9fEWfnEzH2eyVOuzVuXJcRI/rz8eMnrKysyJo1K8ePH09SgtrfnVy5ctGrVy+uX7+OWq1m5Mgpyeon5nXo1KoflyOMfQ0KCAjAzs6Orl27MmjQIDFyv2LFRknKn6lDh46f8+DBA5o2TTigsnHjxri6uia7/yQJuKioKMLDIwgJCaVjx36MHj0NR8d/xKnMy5cv8/jxYz58+EDJkiWTPajYaPzbYlr9Hjx4gpGREe3atSNLlmin6phJR2MzZsx0rdd16tThr7/+El/HjIjt0aMDjo6L8fcPYPjwSXTs2I9Jk7QjSE6fvkDx4tU5efIca9ZsoUmT+tSoIaRK+Nf9ExnBz26YEyZMoHDhwuzff5Tdu7XLgnXv3l4XvJBEVCoVc+cuw9jYGGdnZwYNGkT9+vXp06dPnLYNa89L/nG+J+vViDelYdKsbz8qrTVjxgyePHkivnZwENLr/PXXCl6/fgvA9OkL+Po1kMOHT4rBSUFBIaJf1enTF6hbtwb58+fB2NgYlUrFwoUL2bZtG3Mq5E3q6f5WxBZR5cqVw8bGhqdPX2olRgYhCbmmfF187NjhJLpqzJ8/n0qVKiVpLAsXLuT27ds4OTmxceNGsmbNSp8+ffj6NZD+/cckqS8dOtKCNWvWkD9/fgwMDKhSpQq3bsXNZhGT//77j+LFi2NgYEDp0qU5fvy41vYDBw7QuHFjzM3Nv7sP3Y/Th4+PDz179sTa2hpjY2MqVKjA/v37tdrcvXuXRo0aYWZmhrm5OYMGDfrhbxXA19c3TiaCmMjlcj59Sr5WSJKAk0ikyGTRu+zadYBJk/5ErVZjampKzZo1ExRuK1asoGzZstSuXZsOHTokqRKD5oZhZWUJgIvLRV6/9qR48eLAj8tyRUREMHr0NJ49e8n27U6AkEIkNDSUCxcuaLVVKBTim71y5V/s2eNMxYrRfiFt2jRFpVIxb94yWrf+gy5dBuLr+4mlS9czffp8hg+fxNOnL1GYW2FSOH1rh8a0ssX8G1vQHThwAH19faytrbV8/yQSCYsWOaTfgH8Thg+fRHBwCA4ODsjlcjZuFMoUNWzYUKtd42pzUhx9qhFvSa1zqkkZEt/0KcQNJpo9ezGAVuS3xjJ98OBxBg60B0AqlSCXy3n06BEymYxevYazYcMSnj27glwu5+LFi/Tt25eOHTvic/rnNYQzAxLljxdNm6QSU8T5+Pjw/v17TE2zaAUOuLm9oE6dNhQsaEfJkjXJnbscuXOX5d07b3H7jBmCr++mTZuYPHlykq38mpuXl9cDatSw4+3bt+zeLUShxg7O0qEjvXFycsLe3h4HBwfu3r1L2bJladKkCR8/foy3/bVr1+jWrRv9+/fn3r17tG3blrZt2/L48WOxTXBwMDVr1hT95OOjV69ePH/+nMOHD/Po0SPat29P586duXfvHiC4PzRs2JDChQtz8+ZNTp48yZMnT+J9UI+JjY2N1lhi8/DhQ3LmTH6pzSQJOKGO3ibkcu0bUZEihfHy8vrhvvb29jx8+JArV65w4MABxowZk+jjGhsLAQEhISG8fetFt25D0NPT49QpYdpPU1uyaNFCWvu5u3tgZVWSHTv2snHjv9/PQfDfi12EW2jvTmSkUBk6b94KTJgwm7CwcPLmFSwIjx650arVHyxevJbLl2+K+wUHR4f6+/t/oUPj+hlerFsj3O7fv0+BAgUoVKgQV65cYdCgQTx58gQfHx8OHIi+qarVarZs0aUTSAonT54TI4+7dOmi9WQ3ZMgQ8f8mFQVhnNzp05Ra3lR6CYs3EKbVYwZcHDx4nG3bnGjcWMhjGDs6UVNRwNw8O0+ePKFUqVJs376d0NAwmjTpzNq123j27Cp9+3Yje9XvfRj9OK1PZkAjzKSR0eWqYi96QcK25Io422nLMDExQSKRYGkZnb4oICCQ7t2F70xkZCTe3r4EBwcTHByCShWFk9MhatRoQWDgN5YsWUL//v0TdczYD3AuLi4APHz4lAMHttKiRUMkEgkdO7bi0KEdST8pHTpSkaVLlzJw4ED69u2Lra0t69evx8jIiC1btsTbfsWKFTRt2pQJEyZQokQJ5syZQ4UKFVi9erXYpmfPnsycOTPOQ3VMrl27xsiRI7Gzs6NgwYJMnz4dMzMzcXrz6NGj6OnpsWbNGooVK0blypVZv349+/fv59WruAGWGpo3b86MGTMICwuLsy00NBQHBwdatmyZ2LcnDklWGQ0a1OLTp2fUry/U+KxatSoXLlyMN+IuJj17CjVMNTETVaokLloUBBGipyfUZZw8eQ5KpZLTp09jYWEBIOZKqlZNmE54+NCNdu36UKlSY7EPDw9hKuhHkZWhoaHo6+sjkUgwMTFh/PjxfPsWxPPnz9HX1+f167dcu3ZbbG9hYUHOnDlxc3surpPJZKxevTpdfX9iH0ulUolfmB49evDmzRs8PDxo2bIl+fPnF8fp5+eHtXUOZDJBkM+YsYA1a+L/oeiIi8YSBVCiRAn27NkDgKWlpSh6mpYRpu2TG30aM1VIci1vykT4JcfMBwhgbz+d9u37AFC2rOBob2OTky9fXtK0aX2USiUfPviKlrkePXrw9q3wG3Nze465eXaWLv2TurkEtwfzapk3qTXEEm9RMWqNasRcaPRfjZiThUYvScHExIR27drh7v6GQo37U2Xuf9jbz8DT851WO81sQIUKDcWqMb1792bTZ4koBpNKzZo1AShTpgQKhYJ//13Hhw+P2LhxqS7qXEeaERgYqLWEh4fHaRMREYGrq6uW0JJKpTRs2JDr16/H2+/169fjCLMmTZok2D4hqlevjpOTE/7+QgaGPXv2EBYWRt26dQEIDw9HoVBo/UY0ycyvXLmSYL/Tp0/H39+fokWLsnDhQg4dOsShQ4f4+++/KVasGP7+/lqlB5NKsn+xf/0llGRRKBTkypXrJ61h27Zt7Nu3jzp16jB79mwGDBiQ6GP5+/sTFRVF/vwVOXHiLPr6CvGNBdiwYQMArq4POHbMhSZNOnPhwlWtPs6fF+pSfv78OcELValSpQgLC0OlUuHj48OiRYuQy+UYGBjg5+fH169fefbsGV++fKF9+/Zs3bqVN2/eMGDAAJydndm+fTu3bt0ie/b0i+aKLd527tyJQqHA0NBQSOfg5kbVqhUZOPAPvn79yvTp03FychKtisOH9+P582sUK1YYmUxGliyZM/1JZkSTWsPExJiQkBBcXFzImzcvc+bMYdq0aaJ4Sy4xLW/JKVAf0/KWkPUNBMtQ7dq1tSyyenp6PHgg+MW5urqiUOhx6NB2IiIixCAgmUyGjU10rdzcuXMDEBgYhJ1dE8zNi+Hl9QGQfF8yJ7HFm6ZIfMwFtP/GFHIaMZdYbKct47///sOqYRu+3LvGq9V/cujE+TgzG5rZAE1i8dDQUG7ZJD5qNb6HSE1t5/v3E57W0fH/iVSp/dCSKsv330yePHnImjWruMyfH7emuJ+fH1FRUVhZWWmtt7KywsfHJ94x+/j4JKl9Quzdu5fIyEjMzc3R19dn8ODBHDx4kMKFBZ/w+vXri5ogIiKCL1++iAGQHz58SLBfKysrrl27RqlSpZgyZQrt2rWjXbt2TJ06lVKlSnHlypU4408Kyc4DV6xYYUxMjHnx4kWi9+nQoQMdOnRI8rEGDRqEg4MDUqmU8uXLa01P+fj48N9//wHw+PEz/vhjaJz9s2TJQsGCBTl9+nSyQ5k1FkbN/jEdHK/msGVjrJx26R2BevXqVQYNGoSbmxtSqZSyZUuKzp+1alWld+8ubN68iz59+hAYGEjz5s0xNTVl374jjBjRnxs3Eq6HqSN+li79kzlzlvDly1dAEDrHjh0TS7o1LjU1WUlsY6cKSfL+MXzeEoumbNO+ffuYPXs2R48eZcqUKezaJSTL3rt3E6tWbWbv3kOEhoZx44YrxYoV4sWL12IfgYGBgPCwpOHmzbtkzZoViSz1qk+kBbHFW6L2idFO/n2GJMowcfuWmrGC7HZ1yFK8LAEPbqKKCCdLiXJ8vX8DfQtrJAoFYR/eYWpbgf1j+lCpUqUkXVMSmgFo0aIFs2bN4uzZK1Sv/v9Zm1ZH+vPu3Tute6++vn4GjiYuM2bMICAgABcXFywsLHB2dqZz585cvnyZ0qVLU7JkSbZv3469vT1TpkxBJpMxatQorKysfmq5zpcvH8ePH+fLly+8evUKtVpNkSJFyJYtW4rHnSwBFxQUROfOAwkKCqZbt7jJKFObmTNnMmDAALJnzx7Hd23FCiFZsEQiEadne/TogYeHBx4eHowaNUorVUhSKLhiaYLb9AIlSL5f8CH6Bpjews122jLmVMhLx44dRbEgl8s5d+4AOXLYEhUVhbPzCaZOHcO0aWP588/FTJs2jdWrV6NWq3nw4AnOzido27bZT46kIzZ9+3ZjwYKVGBsbExwcjEwmE83h2YzzaYm3pAYwxLS8JZWf+bz9iJgPWXXq1GHXrl2Ym2dn2LCJeHv7Ro9PqaR27eq4ub3g8ePHlCpVCiMjI/T19QkPD6dBgwacPStU89i+fTtt2rTJNGl14iOp4i3O/kqhD5Uyae+7nqkZlrWaiK+NcsWI2C1XFYBeBy/DwcvJG1gsNFPlgYHfftJSh47Uw9TU9KfGEwsLC2QyGb6+vlrrfX19RT/32FhbWyepfXy4u7uzevVqHj9+LAZhli1blsuXL7NmzRrWr18PCDXTu3fvjq+vL8bGxkgkEpYuXUrBggUTdZxs2bJRuXLlRI8rMSRpCtXT8x3//PMfdnZNuX79DvXq1RNPLi1xd3fHwsICFxcXduyIdrSdOXMmCxYsAIQcbnv27GHYsGH8+++/XL16FW9v72SLt58Rn3Ujo25QQ1dvBeDJk8s0b96QSZNGIJVKKVVKiNJ1d38DCIID4PTp01rhz3PmLEnfAf9GZMtmRnBwMPPnz+fu3buYhtaieM7GVMgn1PlV68lQKxJ/R4/p86Y0TOKUqVxI1psYn7f4iO1XNWDAALJly8bnz/6ieMub14Zbt06xbdsqnj4VfD+fPRMSbMvlcp48ecK1a9dwcXFh1qxZDBkyJFniLWbUZ8zXsSNCNduSSnz9JFe8ZTYSsr6NHDmSWbNmYWZmyvjxw9J5VDp0/BiFQkHFihXFBz8Q3AfOnj1LtWrV4t2nWrVqWu0Bzpw5k2D7+ND40Me2pMlksnhLgFpZWWFiYoKTkxMGBgY0atQoTpv0IknP6LVrR08TWltbJ1j7MDVZsmQJ48ePJ3v27GI+uGrVqlGkSBFCQ6MdT9asWcOJEyfo0qVLmo9JEpnmh0gSM9o3YdSFY6xdu5WdO9eJ6zUWIM2X8MuXL4BgWXn58iXfvglP4aammT9CMLOybdtKatduzZQpU/jnn3+wljUjn4X2U5ZKT5q4OqXJKEwv7puIaNPEorEmS6VSXr9+Tbly5fD09CRfvtzcv39ebHfz5j3MzMxo3769uK5QoUIUKiREgzs4JC8tTUyfNH70W/u+TRoliNbEnreWaMtkv+WUkpB4c3R0ZPXq1eTNa8O9e+d0AQs6MiX29vb07t2bSpUqYWdnx/LlywkODqZvX6F2cK9evbCxsRF96EaPHk2dOnVYsmQJLVq0YM+ePdy5cwdHR0exT39/f96+fYu3t5CO5/lz4cHT2toaa2trihcvTuHChRk8eDCLFy/G3NwcZ2dnzpw5w9GjR8V+Vq9eTfXq1TExMeHMmTNMmDCBBQsWYGZmlk7vTlyS/SuuX79+ao4jQdatEwSJRrwBFCgglPmZNGkSOXJYYmBgwLBhqf9E+Xq0fbzr1UnwLUpr7kwbzMSJQsWImBnalUoljx49xcjISBRyHz4IVpS9e/fy7ds3ZDIZNWrYMW3amHQf96/Is2cvOX36AiBMQQUFBVG8eBFGjBiAnp4ebm5ufAiI6xyemOlTlUIQeclNFZLYaNPEorGYmZmZidGl9erV1GojlUoS5QOSVNRy7WjQny2alB+Jtc5phF7sPlJCUiOE04IfRb5rAlSuXz+uE286Mi1dunRh8eLFzJw5k3LlynH//n1OnjwpOvq/fftWK2igevXq7Nq1C0dHR8qWLcu+fftwdnamVKlSYpvDhw9Tvnx50Te5a9eulC9fXpw91NPT4/jx41haWtKqVSvKlCnDjh072L59O82bNxf7uXXrFo0aNaJ06dI4OjqyYcMGRo0alR5vS4Ik+7KjKb2T1nh4eJAvX248Pd9/Tza7SEzRYGFhga9v/An+0hJJJKjkamQZHFnnNm8sZ8+eFVOGKBTRyvLatdtERUV9T0Ug+AZqnhS8vLzIk8eGK1eO6KxvieTkyXN06zYYgIoVy+Lq+gCA7Nmzce7cfurXr0GrVj1p2aMMD08mrW+NeIs0kiZLCKSW5S02Gktc7ty58fb2YsyYQVrbFQo9cfrhR30kBYkyhnhLQmSnZvpTJRPeC00/AHEnQb4LtySm/0gI0fqZSeI07ty5Q+vWrdm7d6+YNuTmzZuYmmaJU8Nah47MxogRIxgxIv565rGT7wN06tSJTp06Jdhfnz59fppwt0iRInEqL8QmpvtWZiHZj2JtYkVdpgXPnz9HpVLh6fkeEKZkxo0bl+bHjUlCVrjMgO20ZaJjqJGRIcuWzRG3mZllBSBHjhyEhIRy5859bG2LolAoAKhQobROvCUBjR8hCOlqzMzMaNasGV++BFCjRkvs7YXpwvHjx3Py4dxkHUMQAkmzvKXE5y0x2E5bxu7du1Gp1FSo0JCePYeJ5Z+Uyqh4E1Rq9kuuT2hSxZuG2Kk9NIviW/SieZ1a4g1iiMc0ENGJRWN9UyqVVK5cmQ8fPmiVR5NKpRgapuEXRccvT+zUOam16Eg7kiTg9PX1qVWrChKJhDJlytCvX7+0GhcAxYoVY82aNXTv3p3jx48n26cmLZAqJRnuP+M2byyVK1dmxIgRhIaGMXCgPX37juLzZ3/evBGSgubLlw+ANm16cfjwKVq2FBwuQ0JS8Q72f8Dgwb0wNhasF8eOHePLly8cP36cqVOnEhwcwsuXr6lRowY5cqRPOaLYPm9pKRwGHr/FiRMnKFiwIEePnqF5cyHyvFixwvj5+aXdgZOBmKMtNP6biWZ9apIZpk81rFmzRvw/5mdTrlw5fH0/ceDA0fh206FDxy+IRK3JvfEDAgMDyZo1K56edzE1zYKb2wu6dh3Eu3deVKlSBTs7O8zNzZkwYUKyTPQqlQp/f3+xskJmJGZKEVmoBFkq+M2khNj+Lp6entSvX5/Xr6PzckkkEjGdg1CvNgseHnfw9HyHjU1O0RqnI3EUKlQZPT19rSSRRYoU4dWrV+TMmZMXL15gYmIiJvBV68mIMlagNEr4Dh8751uigh1+Uts0rXCbN5ZWrVpx9OhRihQpiFwu49mzV/j7+8dx5E2O9U0z7SkP+3We3GNOn2akBQ6Ez2fIkCFiYnOJREL//v1ZtGgRS5YsYe7cuUgkEvz9E5+7U0fqEBj4jXz5KvD169dk5yJNKzT397K9/0KmSF0rbVREGA+2T82U5/07kKzLja1tUR4+vECLFt25du0mN28KdUG3b9+uJSA0qFQqOnTowNmzZzE1NaVHjx68fPkSb29vwsLCcHd3JygoCBcXFxo0aBBn/8yEJDLjI9fic1bOly8f7u7uXLp0ifnz54tZrTW1D0G4iDRu3AkXlx/P9euIH4lEiq+vL6VKleLx48cEBQWJdfAcHBy0xBuAWiFPXACDniRJ4i2tfN4Sw6vS9bCOMuSVyyHUkREAbNy4kQkTJqQojU5M37dfVbwlah+9tLt+2E5bRqnvwV5Xrx6jbt22bNq06XuxeuE5vUyZ9PFd1qFDR9qTonCkY8d2cfeuCwcOCHnIPDw8kEgkmJqaUqFCBSQSCRKJBJlMhrOzMyqVCi8vLxYuXMjBgwe5c+cODx48EHOSXbx4MeVnlEbE9IVLy4vwz9jRrhaTJk2iePHiNGnSRAyN1lC7dm1OnDjB2rVruXfvXjw9ZN6SRpmdhQtnYGxszJMnTyhQoIBW/qGePXvGWzorcaIscZ9JWkSbJgXbacuQSCRkK1+Ngv3HoW9pjb6lNZs+xK1rmBykURn/cJRY4hNviRHUahlEGQhLWnDRLxSpgSG2tkX5+NENMzNTgoODCQ4OYcCAP7hwwTltDqxDh450J8Xx5CtXbqJ9+75a6759+xavePj7b+EGN2RIHxQKve9RktFXvSlTpqR0OGlKbBGXlrjNG6tlaXObN5a8rqeoXLkyCxcu5PXr15w+fZqiRYsSERGhte+ZM2cYOHCg+LpQofyYmBgzfbo9Li770nbgvzHt27fk/fv7VKxYljdv3nD5spAd39DQMI7rgDqJlRd+Rnr6vCUGRXZLCg6cSMGBE5EZGqdKEuuUVEJIb5Ij3mLum5aowkKZPHkO7u4efPsm1Ou1sMjOjBmZNyBLhw4dSSfFAu7KFWH61MIiOy9eXMfN7QrFixcBYMCAP9i9W/DHMDExpkePjnh4uDJ//jTq1KkOQGSkkqJFi3L58mUMDRNZSPA3J6Zw+7N8HpqFvcfOzo5Tp04BQuLdjx/dmDBhOMHBwZw4IdQxDQkJoXHjxjRu3JgHDx6QO3curl49xp07Z3j37j7jxsWtE6sj6Xh7+6Cnp8fLly8BaN68ebzWN6XRj+/UMXO//cxSp7G8ZbRw0yEQ01KYlM9EkkZWRs01Q55FiD7fsGEHrVv3ol275uTJY4Orq4su6lyHjt+MFN8Obt8+HWfd9evHOXv2MvXq1UAqlTJ//jTatBFqbZqZmXLjhisREcJVrHz58ty9ezelw0g33MfbU2zOsjSb6tFciFesWMGCBQtEh3mJRIK+voLw8AixjmGuXDnF/RYtWsSMGTMID4+ezlIo9LC1LZo2A/0/JjQ0FCsrK/Lnzw+A3xMbDGJpNcH/LXHTpz+LYlQaZryDfFoSM2fbr0Jy/RB/Wl3iB0SFh9E/h4wHDx5wwyQP+hZCclPNNcNt3li6du2K0/f2374FsXFjwvWcdejQ8WuTZreEBg1qif8PGdJHa1uzZl0BIQOys7NzWg0hzXg+YyzFZwlTRql543GbN5bNmzczceJErcoTtWpVYdu21URGRlK8uGC5HDlyCp06tQZg2LBhoi9cp06tyZrVlE2b/tVlXE8jsmUz4+PHz6xYsYLn51Nu1fiR0NP4vf2u4g1+vchTpWF00l5JEovXJ4cJhc0YM2YMgYGBTIqxPnfHfmQpWkpMuAxw/vx5ZDIZhoYGtGvXPP4OdeiIB2mkGqnkp0kpkoQ6MnX706FNut4WIiIi+Pz5i/j68uXL5M2bNz2HkGqov1/AVaSOiHs8ZzQFCxbEw8NDrDSh4fLlmxQqVJl//12HsbExwcHB/PvvPnbuFKJJYwYy5M+fh6lTxzB+/DDMzbOlfGA64uDt7Uvu3LnjnTYFwf9Npfdj8Rxz+lQaqU5SAt/0JmY5qrQSK7+KeNOQHN+35OA2byxyuRy1Wk2XLm1p27Ypjo7/cv78FcI/+ZClaCmt9l+/fqVYscJcvarL96ZDx+9Ougm4iIgIbGzKoFRGAXD8+HGqVKmSXodPdZ7PGEuRBcuQEn+pnphIIxN2XJZGChfp2bNn4+HhQbt2zVm/fhEKhYKHD924fPkGDg4LiYqKYsiQ8dStW41jx4TUIJoUfsuXzyV//jxUrlxOdKa3srJMpTP9/0SlUvHo0VPKli0JwL17j7h79xHNmzcgPDycqlWr4vdQex9N4EJicr/FLJ31QwtcBtTd1SomH4vY3/WUChiJUog+/RVJD/EWERFBVFQUXbu2Zd26RYDgA3v+/BWa5bPgdoz2d+/eJTw8nOLFC6ftwHTo0JEpSHMBN3/+CvbtO0Lbts1F8dalSxeaNWuW1odOF1R6wE9usj9KGfBsljD1cfToUSQSCY6OS0QLXJkytpQpY0vp0iVo06YXQUHBzJ8/g8ePn/P1ayB16lSjdesmtG/fMpXORoeGZcs2MHfuUipUKM3Hj595/16wci5ZshaAx48fE/HZj2xZC5BFbi7u9zPxpkHj+/Yj8RZzqi69iV3gXSMkpVHa0Zcpsc79kr5v8vT9TBQKBTKZjDt3Hojrqle3Q09PzpHH7vhv3y6unz17NgCzZk1MvwHq0KEjw0hzJ6njx114/dqTNWs2A2BjY8OePXvS+rDpwsvJY1HJ1eISZajWev2z5eXksbx//x5HR0dsbW1Rq9U4OCyMc5yaNaMtlZUqNWTBgul4eNxh27ZVOvGWRjRsWBuAu3cf8f69N8bGxujp6fHhgy9SqZQHDx7w1PsUr30uo9aTJarqQkyiFD+JOv0u3qIM08//TaIUFo14i12CSixRFRV/zVFJMqZBf6Xcb5AxFtFWrVrx6pUHf/whRJF7er4jUhmFvrWNVvoWlUqwj+bJkyv9B6lDh450J80F3L//ChaL8HAhV9nSpb9XVJT7eHvUeqDW+MToJW7ZalcJCwsL8uTJw+DBg9mxYwcAa9du5d69R1rHkEqlTJ06BoCIiEi6dRssRqLqSBvKli2pJZyDg4NRqVTkypULlUpFqVLFAVBLJKgV8sRb3r5Pn/4IpWF0qaz0RAwm+Ek+tphiTmtJpIiTKEEWmrhjZSY00cLpFRGsEWf79+/Hzs6OY8dcKFiwEjU7jwIkmBTWrqoQGRmJJPO6UurQoSOVSXMB9+rVG2QyYc6hb9++dO7cOa0PmekZrlRTp04dAgIC6NKlDStX/sXIkQMwNBTmWkeNmhpnnwkThov/58pljZGRLmdeWqFSqVCpVBw58q/oAweCz6EmF9+LF+4A+Po/JtJQlmjxBombPoWMiTxNiaBKjIiLWe80LQrL/27YTltGqRkr+NawKzbt+xBqYEroOw9yNGiFnol2bUljY2N+Xtlahw4dvwupfosYM2Y67955M2JEP+rVq8ny5RuIiooiV65crFy5MrUPlyl4Pdpeq9j9z9rq6QmmlVGjBjJ0aG8sLS0AmDx5JN27D6FVq6bx7qtQ6BEREcm6dQvjRKrqSD2GD5+Ek9MhJkwYzoMHTwCwscmJj89HSpUqxZAhQ9i15wQREZ4YGGZHrUi8U1RSitanN6lRh1QeKvxNKPWJpt7pr0bM0lkZhWnxMpgWLxNnvSaNSGBgIBKdCU6Hjv8bUl0FbN8upJE8d+4yxYsX4ePHTwCsXbsWExOT1D5cpiExIu71aHu8vb1RKoW75LJl61m2bL24XS6XIZXKyJLFhKCgIDp2bIWNTXSy3mXL5rJp07/Y2ZVPm5PQwbJlG9izxxmAunVrcODAMYYP78+2bbvx9RW+y0898lO+ylBCgv1QKIwT3Xdiitant5O8huT4ryVEQiIuZnTrr2R5S07R+ozg/fv3GBjoZ/QwdPyiSJWQ2qlD1b/Q7/xXJNU+rocP3bhy5QZ377qgry9cRJ49e4m/fwBt2rShTZs2qXWoX5LXo+1xdHSkYMGCABQsmJds2cy02iiVUURERHD06BlmzVpEzZraAQrdu7fn3LkDGBhkUDXz34B+/UZToEAl0eE7JiqVij//XAxAliwmVKtWidu3T9OnTxcKFMiLUqnUyrlnZGyBXC91p7I1vm/pOX2qmdaML5hAmsxEnJrpVFVwKL6nDxHh+T6Fo8wYklu0Pj1xmzeWK1eu4O7ujplZ1owejg4dOtKJVBNwLVv2oFWrnlSo0JBBg3qK6zdu3PhLVltIDjGL3cdev2rVKgYPHoxMJmPcuGHcvHmK169v8+XLS758ecnVq8fYuHEp//yzhqZN61GgQF5GjBiQzmfwe7Fz5z7Klq1LWFiYuO706QsEBHzlxIlzBAUFabUfMCC6Bm3RooVQKpW0bNmDTp368/atIECSa0VWKaSo5Imb3kpvgZBQJYTkijcN8lD4eu0S/ncu4nPeWTjGLzR9KgYtZHLxBjBw4EAiIyPx9f1EREREBo9Khw4d6UGqCbiZM8eJ/69atUn8PzLyF8oRkAq8Hm2PWqZGZaBCLVOLou7ixYsA9OrVmenTx8bxYbO1LUrHjq1o2bIxu3c7cvfuWV3x+RTg7x/Ajh3/8fatF9WrtxDXt2zZCIBevYaRJ095Tpw4K257//4DIOTecnV9gKVlCa5evYWLyyXu3n1EhQoVMDXVdhz/EWLQgpi4N3P5J2lFgyYw1aEXohZK7MRYkkL2AhUwMM+FsVX+6DQkv9C0Ssyap+kt3jTiLDHb9+3bBwhWZC+vD2k6Lh06dGQOUk3ADRjwB76+TzA1FWpDLlmyhE+fPjF06P+fCPEYMQ61XIXHiGhRu2XLFgCOHz+TUcP6v8HX9xOFClXm1q27AHh4vKV//zEUKlQZJ6dDAKhUghB5+NBN3G/NmgVYWVmKFoy6desydepUDh06xNSpU7l8+XKixxBXvH1/nYD/m0oeXbQ+vfiR5U0eqhbEm1LzN0ZeuCSIOIOslti2H0/uSr9WvkJNDdqMqkMbs0D9fLuChPv5ipVXYm7XEBgYCED79i0oUCBf+g1Uhw4dGUaqXppUKhVKpRI9PT2GDRv2f+2r5dk/Ohu6SqWiS5cuALx960WxYtWQSqV07doWB4cJGTXE3xZ9fX0kEonWDe/AgWNabbJly8aXL1949uyluK5IkYI8e3aNffuOMGjQOO7cucOZM2eQy+W0bt0agLpN//7hsUXhFkOoJbZkVnqJBdHnLZ6oU2mkINZkEWrkoSqkESpUCilSpfb5QOau35oSNOItvX0RNWjE2f79++nduzfBwcEA6JllxyhfYdqULc7Bgwdp166duM+CBQsAGDduWPoPWIcOHRlCii1wx465iA7hV6/eJiQklLZt2/5fi7fYzJ8/n5MnT4qvP370w8fnI8uXO2JpWUKMStWROpiZmeLv/4K7d12YOHEEHTq0JEcOC8qUseXQoR306tWZL1++AHDixLk473/Hjq3Inz8PQUFB+Pn5Jfq4GvEmpAqJXn4q3r5HnqaneNPkYdMgTpF+F29SpbaVTbNdHhyFXogqyZa4XwmlQfpWwIiPffv20bFjR5TKSMaNG8bkyaMoksuSsGcP2LFjB+3bt6dFi2jXgGrVqgHQsmX3eAN0dOjQ8fuRokvUwYPH6ddvNEWLFuT69RNcvnwdQLw56hCsb6tXrwbg06enXLhwlXfvvFGp1Iwf74BSqcTJyZkePTpm8Eh/L/z9A7h58y6WluaYmZliYKDPvXuPOH36PCtWzOPx46fcvfuI8PBwWrfuyYwZ41i3bishIaFUrlweD4+31K1bF2tr6x8eR6WQIo2IvmHGzPMmjUyclUrjZ5XW/MjyBsI6vRCVKMw05xXz/EAQbrIIdaKDMn4lVJkgSKHo2Dl4rP4TAwMDHj48L+aJnDRpJADPn7+iatVm3LhxQ9xn8uTJRERE4ODgwMiRU1iz5seWYh06dPz6pOhyVaJEEQBevHiNuXkxcX3Pnj0T2uX/jjp16uDj40OXLm2Qy+U0bFhH3NauXXNWr95Mp06tM3CEvyeNG3fC3f1NnPXPnr1i7typzJ8/gyZNhKog16/foXnzbmKbs2cvI5FI2L17t9a+mulTjWiL6ecG0eItM/OjaFNZxHcrXMSPLTjSCBVSPQmQuc81OWRkgEWg230Cnz8k9N1roqKiOHLkX1G8xWTQIMG3dsOGDVrrZ86cyc6dO9m16wCFCxdk7NjB6TJuHb8H0kg1MlLXqq7+Ta30mYUkTaHWrt2ao0dPi68/fvTTKulUo0YNvnz5Qq9evVJvhL8w7dq148qVKzRsWJv16xfH2Z49uxkzZ45DoVBkwOh+bwYM6CH+HzM7veb7amdXnnz58iCXyxk/fjwDBw7kw4cPfP36lblz53LmzJl4rW+xgxM0S0zLm8bqlijrWzpOnyaU502wvAk+b//vZJQFTh0VhfeRnXx7eh9lUCBqtZqOHftpRUmDkAbn4UM3mjRpQseOca32Dx48IGvWrMyfvzydRq5Dh46MIkkCztPzPb16jRBfd+zYj5CQaEearl27YmZmlmqD+1UJCAigWLFiODs7U7FiWZycNorbhg2bRLFi1TJwdP8fDBnSR8yx5+//AisrSwCt2qbjxg1FqVRy5coVHB0dsba2xtTUlGnTptGgQQOxXd2mf1O36d9xRFtMP7fklMeK6SyfkcQMWPiZ9U2DNFItphj5ncgoC5xEJiNvj2FYNWxD8+bNadCgAUplFD16DBUjpwEOHxZ8abdt2xZvPwYGBhgZGYn1p3Xo0PH7kuTnzdKlS8R4JcHAwICSJUtiY2PDsGG6CKigoCDy58/P169f6dGjA506taZr10E0b94Ia2tLdu8+kNFD/L/in3/+Y+XKjWIZrLx5c4vbevbsxOLFa7R8ieIj5hRplCJapGmCExLr66bVZzpGOoolrGIk0f1RwEJi0EyjSpWSDBegqUlqpnLR9BOf5TM+jHIX4M326HrRnp6elCxZkmHDJlC1agXy5ctDvnx5AHB3d4/XQnzmzBk+fPigc8vQoeP/gCTfOuTy6Cc7Q0MDFAp97ty5k6qD+pXp2bMnX79+RSKRsHPnfnbu3A/AmTMXxTYLFkzPqOH93+Hg8DdfvnwVX3t7ayc5/fjxMzlz5oy9m0jt1ouAuEXoY4q2xIo3lVyw8KR3mgpN4ELMqFMNGsubjujPJbU+kyiD6L+ysMQLOQ358uXj0qVLVKxYkS5dBnHjxgnxAfrMmTN4eXlx+vRp+vfvT7Vq1fDz86N169ZIJBIWLnRInZPQoUNHpiXJaUQePHDjzp37tGr1B4GB37RC2XXA69evAbRykMVEoVAweHDv9BzS/zUrV/6lNW165cot3r71AsDJ6RBhYWH07h3386jeZQnVuyxBaSiNI94g8aJNg9JQEAcRJulreZMov0edpmFBlN9tGlWSitOoUYZqYUnkVHnxWcu0XleoUIEOHTrw/Pkr9uw5SO3aVdHTkzN79my6dOnC5s2bqV69OtbW1uTNm5ewsDDatm2GmVniK4bo0KHj10SiTkhpxCAwMJCsWbOir69PeHi4uD5//vzcvHmTHDlypOkgfxUiIiIwNDREpVJRokQR5syZwtevX+nfPzprupmZKR4erhk4yv9PChe24/NnIb2NuXl2zp8/SPXqzQkPjyAwMFArb2HFQcviiJKUJK3ViDcN6ZVfTBaasOVN48OWEgucxicw3PTHVSZ+FTSfU2p9PpFZBAEHIIkEqVLyQ0tclAEov7d3Hx9dVzkiIoIsWbJgYmKEu/ttnj9/haPjPxQpUoAGDWrz11/LOXv2MkqlksWLZ9O9e/vUOQEdqUZg4Dfy5avA169fk1SOLz3Q3N8rt5uLXC9187cqI8O4fXB6pjzv34EkWeBmzJhBx44dqVChAq9evcLDw0Mn3r7j4eFB1apVxSSaT5++5K+/lmFkZISv7xMsLc0B7YhIHalD9erNyZ69KMeOuSTYZto0QUQXLFiQz5/9KVOmDkFBwUyePDmOeNMQM2AhucQUb+mZGFb0e4slFmKXyUoJ0giV6Ev3q6OJBk4r1HqgkqtR/+AYKj2hnVoPCq5YKq5XKBSMGDECf/8AFi1aQ3h4BN26tWPIkD4UKVKQrVtX8vbtPby9H+nEmw4d/0ckyQJ39uxZ6tevnx7j+qUICAggZ86chIWFUbp0CQIDg/D0fCdub9CgFmfPCnU0nZw20rhx3Qwa6e9JgQKVCAgQ/NyKFi3EiRN7yJ7dTKuNSqXC1rYmnz59xsjIiKCgIOrUqcOFCxe02sUUcMlFk4oiPctjxUaijFttAVLH8hYTlUJKeFYZSsOMfzBxdRyb7M9PaSgIuKRMbWtKXtlOWxZnffFZy4gyiLbAaZCFJmyFizKASFPt9q9HC5Y4lUqFpaUl/v7+4jYLi+y4uOwTAxt0ZF5+BQtclVZz0sQCd/PIjEx53r8DSbLAVapUKa3G8Uszfvx4wsLC2LJlBZcuHeb+/XOsXj1f3G5hkZ18+XIzaFBPnXhLIf7+ATx//kpr3bFjuzA2NgbgxQt3mjXrGmc/qVTKpk1LUalUGBgYULx4cf79919xe8VBy1Is3lRybR+3jBJvGuKzvgkF6X8vn7WYuDoKokqtUjGnbTHOLOjN7fWjUYYJ9USVYcGEBXyMs588FB4tHav1ebnNGxunaHzMbfG10/x9Nivufhox9iMrnCTWZ6axxEmlUowcRlKrVi169+7N0KFD+fz5C1WrNufatVsJd6hDh47fliRZ4HQqOn6yZcuGWq3izRtt3zZPz3csXryW6dPtxTxkOlJG2bJ1efvWiypVKnDgwFaMjIwAwULRv/8YnJ1PAODufjuOFQ6gXr123L//mMjISORy4W6dWlY3TQ1NzfRlRom3hKxvwtSpKlHVFhKL0lhGuKk0Q/3fNKJNQ9euXXFycgIE4aOvr09oaCjGOfIT/PGN2C5fvnzISzTm1QnHnx4jPitbYii4Yqko3DQUc1hKmLs7CrPs6GXNLq6PbYFTy9So9dSo5cJnJdETtr3pNQkQ6qV269YNiQTev3+gSwieidFZ4DLfef8OpLiY/f87W7duJSAggI4dW8XZli9fHlatmq8Tb6lI/vzCdNHNm3epVKmxOFXt7v6GW7fuie3mzYtflOXNawPAiBEj4t2eHGIn5FXLM1a8SSN/HHWaWuJNkx8vo3B1HIur41hUKpVWAfdDhw4hkUgYPXogKpWK0NBQbGxyYhD1Fblc/l3UKfDx+YD7yY1ireKk4OTkRJkyZTAxMUGhUCCXy5HJZMjlcvT05Ojp6WFkZIhinSN9+/Zl4cKF1KpVi3r16pHl2C7e7lzLqzVz8Vg6Bf3jO/A6vBPP9cv443OA1nFiijeJTIW+STjFDvwJQMeOHdm8eTORkUrmzFkae4g6dOj4zdEJuBQyffp0FAo9/vprakYP5bdEqVQyd+4yFi5cjb39TK5fj7ZyfvjgS7ly9cmevSh2dk3w9vahb9++WFtbs23bHgIDv2n1dfHiNa5duw3Aw4cPU23aVGN5y8jpUg3SyPjrnf6uLFy4EJlMhkwmo3r16hQqVIjw8HDUajWOjv+I7cqWLcmrV7f49Okpnz8/x8fnCWPHDgHA29sbEAKRDA0NkUgkmJgYo6enx+jRo4HoaVJlcBBt1Z/o3r07jx49wtIyO6VKFadSpbJUq1YJO7vyVKhQlrJlS2Jjk5M3bzzYtm0bkyZN4sqVK1y6dAlXV+E7rK+vIHfuXDx69IiIV09QffJhzpw5lDh9FnVUdNZljXhTGEaikEdhbBAhbuvVqxfGxkbs2qVLEK7j92DNmjXkz58fAwMDqlSpwq1bP3YR+O+//yhevDgGBgaULl2a48ePa20/cOAAjRs3xtzcHIlEwv3797W2v3nzBolEEu/y33//ie1GjRpFxYoV0dfXp1y5cql1uikiE9xyfl0eP36Mt7c3LVs20k1fpBG7du1nyZK1cdYPGdKH7dudCA0N1cq5t3btWg4fPvw9R9YurYLenTr1JzJSUDaBeeujn8KxZZZSWLGJT7xJI9Visfof7puMqhIZhZ+fn1ZB97t372qlOcqa1ZTQ0DBAO5E2CA8Gq1ZtxtTUlLlz5wKgr69PWJjQPjg4BIB169YhlQrPuTdv3uTl9evMB+RyORs2LI7X8h4bL68PbN68izZtmoo5CVUqldivhoiICBo16sTx48cxvngR/WaNMG1rh0wvCplcRfBFVz49eo1Vx2piH56ennTv3oONGzcyfPgk1qz5O9Hvnw4dmQ0nJyfs7e1Zv349VapUYfny5TRp0oTnz5/Hm/Hi2rVrdOvWjfnz59OyZUt27dpF27ZtuXv3LqVKlQIgODiYmjVr0rlzZwYOHBinjzx58vDhg3aCd0dHRxYtWkSzZs201vfr14+bN2/y8OHDVDzr5KMTcClA42czfHj/DB7J78sff3TC19ePRYvWEBkpzAuamBijVCpxdT3Dx49+BAcH4+x8ko0b/+H8+fOULVsWAD+/z2I//v4BongDCPL1QN/UPNnjSu9qCklBU/EhJlLlz6suSCPVyEOE91hppJdphZyr41hCQkIwNTUlKoalKqZ4A+jXrzudO7emXLn64ncnMPAbf/65BCcnZ4KDg5k4cSJSqZSzZ89y6NAhYhMZGcny5cvF13XqVGP6dHsqVCgTR4AlhI1NTmbOHKe1Lr59FQoFFy8eYsqUeaxfv43gfc7IbIyxql8IPXkUnx648+XiEyrr5cJR7siwYcO0zn/XrgNYWeWIcywdOn4Vli5dysCBA+nbty8A69ev59ixY2zZsoXJkyfHab9ixQqaNm3KhAkTAJgzZw5nzpxh9erVrF+/HhCqI4FgaYsPmUwWpyzdwYMH6dy5MyYmJuK6lSuFMnefPn3KNAJON4WaAi5eFJ7qAwO/afng6Eg9pFIpEyYMx9XVRQxYCAoKZtOmf7G1rcnhw6c4fPgUTk7OADRo0IC1awWLXatWTcR+wsPDkUqlFCyYFwAT64LJHlNmmzYFwfdNk7g3jnhLRKUEeYgSeUgkkggl0uBw5CGRia6wIFWmTzUGjc8bgIuLC1FRUWTJYqKVxy8mT5++IF++PGL5v7/+Wk6+fBXYvHknQUHBmJiYsH79eiQSCQ0bNmTVqlUA9OrVGVPTLADiVIqGAwe2UalSuUSLt+Qwf/40Pn9+jqWlOZ9X7UaqDEVfrqTU5EYUGNmYZ8+eMXjwYAwNDejTRzviWiNUdejITAQGBmotsR+2QLBAu7q60rBhQ3GdVCqlYcOGXL9+Pd5+r1+/rtUeoEmTJgm2Twyurq7cv3+f/v0zv2Emk9x+fj38/Py4fFnI7dali2CWvXXrFEWKJF8Y6EiYPHlycfjwDrp3H8LHj37i+qVL14n/N2nSBIVCwdWrV5HLZVStWlHcljOnFZ8/P6dgwcoYGxujnyU7SSG+OqaZiR/VOwWhaP3PkEQokURGif/LyXyWuAsXLvDff/+J+dAqVSrH8uVzKVu2LiB8zoGBQQQHB9OvXzdA+F2OGDGFUqVKiP3I5TKCgoLE10ZGhhgaGnLz5gnMzbOzYsU8Pn3yw9LSAoBs2YoAwtRrerhLSKVStmxZTqtWPWlwRcndFlIMDVR4bjgLSjVFihRk//6t5MmTiypVKpA1qynNmjVI83Hp+H2RRqqRkroPYpoHuzx5tHMVOjg4MGvWLK11fn5+REVFYWVlpbXeysqKZ8+exdu/j49PvO19fHySPebNmzdTokQJqlevnuw+0gudgEsGp06dolu3blrrNCkpdKQNzs4n6Nt3lNY6fX19cubMSbt27RgzZgx58wrWtc+fP2NoaCi2W7lyIydOnGX27El8+RLAgAEDuJuEY2uSvEqjhL9Rhj/fJ70Qo07jEW+avG+yiJ9XXVDpyZAq5NEC7vtfjOJXqpoI1EgjqZi4OLWJnZhXpVJRr149rTZPn74gKira5Jgtmxm7d2/g8uUb1KxZFYBXr97g7x+Al5c3798/wNjYCA8PTypWbIRaraZAgbx8/OiHXC4TrbyAKN4AunZti4WFebr6utasWRWJRMLTp0+5sFRIjyNTrqZSpXKcOuUUY2zt0m1MOnQkh3fv3mmlEdHXT6kHctoQGhrKrl27mDFjRkYPJVHoVEcyaNWqFZGRkcyaNYHRowdl9HD+L7h9OzpFSJ061bl69Rbh4eG8efOGZcuWcezYMW7evImZmRkGBgaEhYWjVCr5+jUQB4eFACxcKEyRzZ49m1aznOI9TmxiZujPbFY3SJzlTR4qTO8nJn2IWk8WLd4AaWQUKr34LxMqPYlQgioNLXSaKdP79+9jaRk3HY+RkSH58uVBT0+PyMhIDA0NKFu2pBgsAIL1dsiQ3hw6dII//1zC3btnCQgIZPjwfgwY8AfGxoZcu3abxo3rYWAQ/41l3bpFaXOCP0Gh0BOjZAEsLCxwd/fIkLHo0JFcTE1Nf5oHzsLCAplMhq+vr9Z6X1/fOD5qGqytrZPU/mfs27ePkJAQevXqlaz90xudgEsGkZGRNGvWQCfe0pE5cyajr69PixYNqVixLCqVihcv3Mma1ZS5c5eya9cB8ufPz9u3bxk8eDBjx46lZcseREUJoiVPHhvu339M9uzZkyTelLHcqzKTz9vPxFtMfibehJqvUmQRP2ymvY887YUbwNOnTylfvny87Ro3rotUKsXa2pJ377zx8YmusnD37kPmzFnCP/+spXjxIvTu3YXPn/0xM8uKXC7nwoWryOVyAgK+oqenR+vWTdPsfJKLsbERfn7RLgMmJiZ8+hS3koQOHb86CoWCihUrcvbsWdq2bQsIVvezZ88mmLezWrVqnD17ljFjxojrzpw5Q7Vq1ZI1hs2bN9O6det4HxYzI5nkdvRrIZVKtfywdKQ9UqlUK7pOKpVSvLjgl7Rmzd9UqFCW8eMdKF++PM+fP2fPnj3cvHlTbJ8jhzmurl7krtomUcfTiLfMItjiI7HiLVF9RaqRRiYuEEelSLvKC7GrKgBkyZIlwfbz5gn5F4sUKcS7d96UKWMrbnNwWEjlyuVRKKJNp+bmgu+jpaU5M2eOZ/r0+QQGfuPCBedUOoPURU9PT8vh29/fHyOjTDSHr0NHKmJvb0/v3r2pVKkSdnZ2LF++nODgYDEqtVevXtjY2DB/vlCqcvTo0dSpU4clS5bQokUL9uzZw507d3B0jK6u4u/vz9u3b0VL9vPnzwHBehfTUvfq1SsuXboUJ49czO1BQUH4+PgQGhoq5pOztbXNsDRiuijUJLJhwwZUKhVubs8zeii/DOfPX0nzKN3+/bszYMAfvH79mvz587N582YuX75MiRIlkMlkuLoKYd9Zchf7aV+ZXbwlVCorJkmte6qJQI05ffozohTpE9yQO3duvn37Fuep2sjIUIwG3blzLbNmTWDLluXidj+/zzRtWj/Bi6tUKiVHDgtq1LDLtNVSAgK+UrqxHpte1OLKlSsEBARQo4ZdRg9Lh440oUuXLixevJiZM2dSrlw57t+/z8mTJ8VAhbdv32rlbKtevTq7du3C0dGRsmXLsm/fPpydncUccACHDx+mfPnytGjRAhBK7ZUvX15MM6Jhy5Yt5M6dm8aNG8c7tgEDBlC+fHk2bNjAixcvKF++POXLl9dycUhvdLVQk4CHhwcFCwpRph06tGTTppTX0Pzd2bTpXyZMmM2QIX2YP39amh9v5sy/Wb16M2q1msKFCzN+/Hj69u3L8uXL2XrDFyOL3D/c/3cQb5C0uqea/G/S4GhLj1pPSL0RZaxAaaT9ZmgscKldAzU+6xsI15+WLVuKUd9ly5bkwYMnAOzbt4UGDWrF2Sc8PJwxY2awePEsjI2N4mzX4OX1gZCQMIoUKZAKZ5C6uLhcpFOnAfRfWJSqbXKwbcoLrjv78fDhBWxscmb08HQkgV+hFmq1pn+mSS3U6ydnZsrz/h3QWeCSgJ5e9FTM/v1HOXbMJQNHk/l5986bCRNmA3Du3KU0P15YWBh//jmJv/6aioGBAa9evWLIkCGU7jQep1d6v7x406CS/Xh7zKoLKal7Gp94g9Srpfoz/P39GTlyJK1atRLF26FDO3Bx2SdGiO7a9b/2zjusqev/468kbBEQRHGAWmddoLil7r0qLhyt1jprHdXWWuvAqq1a26pV6q7WVf3iqnW1jrpXQRQVxQWKICgOQHZIfn+kuRBmgLD8ndfz3Ifk3nPPOTckue98zmfsyfRcU1NTVq/+PlvxBvD119/y6tUrw07cQHh6LkUmk+HaXXOtKjWYmZkJ8SYoEOTJmkTfBt30dMsQ5I1ifqsqXnTt2lXn+fTp8+jZs1MWrUsOfn43qFatCjY2hv2FdOLEWenx48cFZ2Zes2Yzd+7c57ffdmFiYkxSUmoyUwt7J8zL5ByRVJjiLfF5OEkvn1O6doM8nS/XY5VTrtRfvMmTU5AlZay/pTLOWikWVADDtWvX6N+/P5UqVeLZswgCA+9SvXp16fioUZ8RGHiRu3cv4u8fQP36dbLsa/XqTVhbWzF0aP9Mj/v53eDAgb+oXbsGzZo1Nvi15Acfn2sEBATy3nvvUdniNQApoVVJSspNAhyBQPA2IwScngwbNoyAgACaNWvMhg3LWL9+KzVqVC3qaWWLUqnk1KnzdOrUNss2KpWKDh36AXDz5pl8/bp//DiU9eu3EhYWzs2btwkODgE0pUy2bt3K6dMXOHbsFO3bv5fpsldu8PO7Qdmyduzbd0hKEwJgZmaOubkFX331FTtuJWNkVkonk35mFJZ4U6vVvL56gfC/NFajGpPnYWypv2jWLp/Ks0m2L/m+5aIyQm5+JWvzvxUEDYbO5ebvCwB4+PChtD9tmoDIyJcsWPAjnp7TdQIWMkOthnPnLmcp4KytrRgxwoPXr6MNMHvD8ebNG/r2HYFCoWDTpk08kXfHQfGGkBBEAINAIJAQAk5PvL29Afj++7k4OlZk/vwZRTyjjCxY8BPu7j0kq8SECTPw9j5ArVrvsHu3Jmu7lunTv6FmzXd09vXtO4LLl4/mukyQUqlk6VIvfvjhFylYwdTUFDu7snz77bf07NmT7du3M2TIOOLjE/Dy2oSDQzlsbW3YuXO9zhxyIikpCW/vA0ycOFPaJ1MYY+VYh16tG7Jt2zYAXMcuw9hc/2SRBS3eUhITuO+1AFWCxnnNqLQNRhaWOZyVipQ2JDnzYvVp0afqghZ5sjpD8ILaWIHaJOsXRGUsK5AABplc1+JXunRpYmJipIoJ7dq15saNABwcMha1zoyuXduzePHPeHo+zzRI4Z13qrB8+cL8T9yAnD59gZEjJxMbG8eGDRuoXr06ypA3WMjVJCREUKuWc1FPUSAQFBOEgNODy5cvk5ycTJ06NXUShBYnVqxYx08/rWbZsjUsX76A4cM9qF27BgB37z7ExaU9Q4f2Y8WKb1GpVGzYsC1DH/fvB3H27CXattW/hEh0dAzOzu15/ToKywo1cHIbwPl1M7CxsdFpt3btWiZPnpzmvDeEhz+jUaMOlC9fFnv7slhZWdKgQV2GDRtAjRpVM0QP3rx5h/bt3VEqNQqmc+fOhJRuiLltBWQyOduycILPDpVRzj5lhiA2+K4k3hx6DMKqjjMyPYVyWstbVuJNa3Ezjsu56kLac+Tpok614i2zElpa65vKyPAJfH3XTWXfvn302566LyYmRnr8559bpcoK+lK9elWGDevPoUPH+PjjoVm2+/xzTzp2bEOPHoVfiurRoxB++OEXbt68w7NnkYSFhaNQKFiyZIlUi9FCrvl/VqpgREBAICEhYbn60SMQCN5ORBSqHlStWpVHjx5x6dIRSRQVN2rWbE5k5EtkMhkKhYLlyxdw4MBf/P33KVxdXXnwUsnroOvY2towYsRgli3TDaG2tbWha9cO/Pzzt1JZsHv3HuLoWDHLYuFbtuxixowFJCQkMmrUKK7K6krLldqIQm0ppMyeHzlyhM8++4xnz54RFxdLcrKStG9HhUKBQiHHxsaayMiXqFQqZDIZo0aNYtKkSTRs2FCnT22/aZ/nRGEunyY+C8PU3iGDpSk7tJY3o4TsLW/yZDXGcbmrumAUp9Q4LqeJPlWVMs2y/qnKRI7SXE6yheaYoQXcgAED2LMn86AER8dKXL16vEBK1p0+fYGPPprM9u2radmySY5L7obg9etoxo37nL//PgVoAqRMTU1p164dmzZtomzZ1DJeIaEVKC0zwv9qCm17P0Umk9GkiQtTpoylc+c2RZaDSqA/JSEKtXXHeRgZGTgKVZnA+RPziuV1vw0IAacHbm5unD9/npMn99KoUd4czwua4cM/5c8//6ZSpUqEhoZK+42NjanSeRRWlWoRHXKHoGMbSUlJtbqYmZmxY8dq2rd30+kvIuI5deq0om3bluzfv0Xn2PPnkfTtO4KAgLtYWFjg1HW8ToRnbkRU+tQRZ86c4ejRozx58oT79+/z6tUrQkNDqVu3Lg0aNGDKlCk6OX6AXAm2tGgL0xen2qZp0Ve8Qarvm2lUil7iTZ6sxvi1xiIoS07J1vIGqalDki3kKM0NK3C074GchNOuXevp0qWd3v0+fvyERYt+ZvXq73Nsq7HSTeHnnxfRs2cnfvxxNZMmjcLWtoxeY/n6XsfJqZJO/VQtR46c4PTpC1StqinovXWrN7dv30OtVuPi4sJvv/2GaZnUKhC1HXUDfrQCzkpuzr+PtjJmzBhu3LgBaGowf/31Z0ydOk6veQqKBiHgit91vw2IJVQ9GDNmDOfPn+fAgaPFQsBt3erNkiUrOXPmALa2NgB069aRP//8Gw8PD6ZMmcKpU6do164d7gtTLRpWjnVoOPJ73oQ/4N7BXwCws7PBw2MsAwb0plQpC4yMjFi0aBY7d+4D4N9/r0nnT5s2l717DxId/Qa1Wo27uzvBtq0zLAXmRlClt9BN3eYL2OO75btcnZ9birt40yJPyVm85anfNEXrcxJvBUVa8f7o0SOdY/Xr1+HmzTvS8xYtXGnbtiWLFq1g5swp+PndwNm5XgZ/zRcvXqJWq7G1LYNSmcLBg3/j5bU4R7/Onj078+iRH0ZGCt68iSU8/BmNG3di+PBBfPbZ2EyFXFxcHAMHjubChX8BKFPGmosXj/DkSRhr1vzGuXOXiYh4TvrfyHK5nGbNmuHp6Un37t0JDNFdDg0MqSiJuMCQilikmXrTKh/i73+XyMhI1q5dy+zZs5k//weaNnXO9RKzQCAo2QgBlwNxcXGMHj0agOHDBxXxbDScPn2B0NCnODu3IyTkGgC//74XmUzGokWLMDExybIYr0wmI2DfCsqW3U5UVBShoeHS+VqOHz/NgwfBAMTFxePk1IiEhASSkzVKwsGhPJs3/0bXrl3zLKAyI21frmOX6dzg0wu99O1zg1a8Fcfi9HlBa30zjstfzqXCFG9padiwoWRR0vLuu7V4+fI1T59GoFarmTlzCrdv38PL61emTBnLzJnfYmNjxS+/LNERVyNHTuGTTz7C1dUZV9dO2NvbZRBQWaEtZG9jY83q1d8TEHCX779fyeXLV+nePaN/XJs270ufE4BXr6KoUyfVf1ShUEhWxTVr1lClShXevHlDz549JbeE9OJNi3a/1v/NXJb6ZlWF16Ksw11atNAItsqVK1K3btbpVAQCfZAnq5Hr+VnRu089/XEFeUMIuBzYtm2b5DR/7NgZxo79sIhnBJMnj2HPnoO8eROLrW0tqlSpTGhoOGZmZnr5w2gKeL+WfPsAzM3NiY/XLKk9fRqBg4MDo0ePZs+ePURFRVG9eg26d+/OwoULkcvluI5dxtd7Agx2TdmJsfTCLj+kFW/FOWGvdvlUXxRJaoxi9S+DlR6VceHl9E4rwq9evZpBvAHs3XuQyMhAlEolAQF3qVOnBhMmzCA2No4LF/5l795NfP31t7Rr586BA1swMzNj9+4/uXnzDo0aNaBcubLcu3cJuVyOQpG3KJW6dWuxefPKLI/Pnj2NrVu9MTU14ciREzrH5s2bR4sWLejYsSNyuTxTC2BW4i09pWVGGMtS36xyh7sA3L2r+Ttp0mjJEi8QCP7/ICox5MD48eOlx3PmLCrCmaRSv34dTE01Qk2tVhMSEoaJiTFz587N0Daz8kRaEfTFF19Qrlw5duzYQVxcHPfv38dl5BLevIklLCyM+fPnc+vWLZ48eYKfnx/fffedJN4KC0OOVdLEmz4ls9KSmxxtqv+WTVWlTDV/s0nam57c5JhLT/r344YNGwBNTjYtNWpUY8oUjU+XkZERlSo5UL58Pe7efYCxsTGXL18lOTmZ5csXMmnSaCIjXxIcHMKePQfZvn21lGakbFk7vX3YsuLSJV9WrdqY6bG+fbuzZ8+v7NixhuPHdzN0aD8pXcm8efPo1q0bVatWpW3btrRp04YZM2YQFxcnnV/bMSyDv1v6Y46VnmJTUZNP8Xmkkn3nF9GlSxfKly/PZ599Bmj8VQUCwf8/ivFtrHhgYmJCYqImSq9nz85FPBsNcrmcjh3bcPjwcT788EO2bNmSbfvMggq0z9MmSR205AByI2Np+TJ9dGdhUxDirbj7vEn53grI9y0tSgtjyRdOn+VTbfqQ/JKUlMSECRPo379/msLUqaJw6tTxDB3aT3puY2PNwIF9ePAgmEOHtuPl9Svt27vj43OMjz8eIlnY/vlnX/4nl4779x/i63s9x3aaJVtNjrZLl3yZM2cxPj7XCA0Nla7x7Nmz/PDDDwwfPpxNmzZl2k9txzDCw8N59913CQ4OQqlMwd7eHgcHB/z8/IABANjZlaFqVUcaNarPrFmfGeRaBQJByUJY4HJAmxgW4OjRk9JyakEzZMhYtm71zvTYkSMnOHz4OE2aNGHz5s169ee7bmq21risBF7a59qtpFHSfN5yY3lLmz4kNzVKVcYyVMYylBY5W99SI1Bl0nm5Je37b+HChWzcuBEPDw+cnTWiJypKk/PNyakSAwb00jlXoVCwcuV3ODpWpH79d9m8eSX79/+GXC7n8889cXR0oVKlhrRo0Y07d+7lem7ZoVKpkcly9zXZooUrO3asxt29B8eP7+bFi0BevAjkt99WUblyBTZv3swvv/witdda4bR/x40bx507d6hSxZH69euQkBCHv78/ZcvaMmXKGB48+Jf7969w+fJR1qz5IdeJtwUCwduB+OTnwIABA1Cr1YwYMYL4+ASqVnVlxIiJrFixzmBibs2azXzwwSdSFQM/vxscPfoP06fPk9poKiq0oEqVxgwdOh6FQsGJEydy/eXtu25qhiWwkijK9KWkLJvmh9zUPc2Mwg5e+OOPPwDN8mj69+/UqZ9k6sdpamrKpk0/Y26ucf53ctKkrVmyZA6XLx/Fz+8k3303i3feqcLOnft4/TrKIHM1MTEhKSkp1+fZ25fl119XSFY5gD59uuLndxIjIyN++OEHnfZpl1Jbt24NwIcfDuSff/bx8KEPkZF3uHfvMvPmfSn83QQCASAEnN5s3rwZDw8PYmPjOHDgL+bNW4qDQ30qVWqIvf27XLnil+e+V67cwKFDx3nvvd4kJSVhaVkKgMTEJIKCHtG79weMHfs5z5+/IDo6hsaNG7Nz584859X5d9O0LI9psvNn7uOUH9+nouD/h3gr6hlkj8pIkyxZy+zZs7l5UxO0YGpqSmBgINevX+fnn38G4OXLl5n2c+NGAPXrt8HL61ed/aamplSs6EC5cmXp0OE9TExMePz4CY0adeTMmYv5nn+XLm0NWjZPLpfz3nstCAoKIjIyUtpftmxZLCws8PX1xcHBAYBr124abFyBQPD2IQRcLliyZInO85SUFOLi4lEqlfkqMj16tCayNSDgLq1a9eSbb5ZKxxo37sS5c5dxcnIiNDSUkJAQfH19GTBgQJ7Hg9QlLXmyGqP41E2uzCgK0oq67ERcduKvsCmJ4k0qmaWnKNPnf1KUaP8HyZZQd9Yyrl69yrfffotKpZlveHg4O3bswM3Njfnz5wPQv38vlEolnp7fM3bs52zfvhuA/fuPolKpKF065/qxX345iUaN6hMY+CDf12BrWwYHh3IMHTpeJy9dfmjZsgkAO3fuBODBgwe8ePGC+Ph43N3dqVxZY13cu/cQbm69OHDgLwDGj/8Ce/t3qV+/DS9fvjbIXAQCQclFCLhcUKVKFWkJBzRVDLp1a8+VK39JBeTzwpQpY6THGkft41haWuLu7k6PHj34888/efToERUrVpS+3A3Fv5umYRynwjhOhSJJLT02ildLgkyTY0wtCQtp/3+btq2W9M8Lm7QBCyVNvOUm6hRyV7g+v+TG2pfe7/DmgilS3rL0xMTEEBkZSffuHVm2bC0XLvzLzz+vp1mzxlL1ghYtXJkzZxqDB/fVa/zBg92Ryw2zNGxubkb79m706jWMPXsO5ru/xo0bIpfLmTRpEm3atKFSpUpMmzYNKysrateuTYcOHfD29qZ69ercvn2PESMmUq7cu+za9QdWVlaEhj6lXr338mX1FwjSI09OKZBNUHCIUlq55OzZs7Rp04YqVRy5evV4vh2IVSoV/ft/zKlT5ylTpgwnT57E3Nyc2rVrG2jG+tGmz1Kd5ypjGSojmU4iRpWR/jfEFBPdiMWC9rNKu0ynUpRQy1s2xerTkzZ5rzw5fz5w2ZG2hJa+BezTize1EaxoV58uXboAmqCEtOXc0tO6dTNq166Bp+cXWFmVztf8U1JS8pwHLj0+PtcYMmQc+/dvoV69/H0+nz6NYOTIyVy+fBVbW1sCAwN16p9qiYuLw9PTk8OHD1O3bl1+//13vL29GTZsGE5Olbl27WS+5iEoHEpCKa22LWcXSCmt0xcXFsvrfhsQFrhc0rJlS2QyGaVKWeRbvCmVSmrXbsWpU+dxdXUlMjISFxeXQhdvAGcOTOfMgenIkzTRjBrL2n9/Y1M0W7xKr02u1Fry1DqWO0OgMkrdlOZptv+W6krSsqlMqWt5y+vrVBjiTWmuX/Rp+qVr7f/B3t5eqkqQnXgrXdqSX375nh9//Cbf4m3Vqo2ULVsnyzxuuaVJExdOntxH3bq1uHLFj8jIF3nuq0KF8hw9uosFC77i5cuX1KhRAx8fnwztLCwsWLp0Kbdu3cLb2xsjIyMpyMHYuAS8yQUCQYEhBFwuMTIyolWrVgQEBOok5cwLv/32PyIjXzBx4kR8fHyKRTqAU0c1DtuSkEsjDjJ7ntkxyTdLqRGBaZdk84NWHCSV/k8kKDSb0ixVKKQVDSUBreWtuJKb3G/Z+R0O9f6H8PBwmjRpkum57du78eWXE7l8+ShRUVHs33+EWbP0q4ebFWPHfsgPP8zj0KHj+eonLY6OFZHJZBw8+Df9+o3Md7TrxImj+PTTkURFRfHJJ58AkJCQwIQJExg5ciSrVq3izZs3gMZaf+rUKfr27YtarcbLa0l2XQsEgrecEnSrKz5oTcGurp2xtbWhYkUHtm71kuobZsfr19G4uLRHqVRKgm3WrFkFOt/cohVx7botyUJ0qdI40KfoWGZSRZ1cei7/LwuDykhGigl6L8XpjJguEW+KkcZ6BcVfsMmUmjmmL48lT8m9z1txRWme89L1okWLdKxMaZdSAwIC2b17Izdv3mbo0E94+jSCiRNH5WtOJiYmNG3qwsmT5/LVT2bMmzedqVOjcXf/iAMHtuoVXJEVCxd+zcWLPvj4+ODk5ERsbKwUjbt582amTp1K/fr1uX37tpRU3NraimbNGhnkWgQCQcmk6E0+JYz58+dz5MgRAMLDnxEQcJfjx8/w6NETvc6/e/cBUVHRxMbGERPzhunTp0tpA4obp47OwCguOcNmEpUkPdY4qma0rmWw1iWrkSvVKJI0S6q5schlVUWhOFvbtMujWpGpUx4rIW8BC1q0r5siqWCCRVQmcmn5VK/2RtmLt9fXLnH7u2ksX75c2jd8+HAp7yFoykH5+wdQo8Y73LhxmitX/mLatPEZO8slDRvWY9u2X3j+/AWXL1/Nd39a5HI5y5YtwNm5Htev38p3f4cO7aBHj068eBFJfHwcH300mKAgX1atWoSNjRU3bvjj4FCOqVPHc+rUfh4+/NcAVyEQCEoyxfT2V3w5evQooPkFfuHCv5QrV5bPPhtL9erVcjx35sxvWbNmM6DJtr5w4cJMHZeLE39fnANAV1dPAGT/RRWp/6ulKU9WIU/W3IhVxnKUFtm/pbRBEXKlWi+LXEkpgZUWWRpfNqOE1Me5CVLIDrnyP/GWzwS+2aENYkm2yF7E5VTlIjkmiqeH/yc9t7e3Z+7cufzyyy+kj59auPAnmjdvzPTpE6levWp+L0FCJpMRGHifQYNGExTkg6mpqUH6lcvl9OjRibp1a+W7LzMzM7ZvX51h/7BhAxg2LH8pgwQCwduJsMDlkqFDhwJQtqwtu3atZ+XKRVSvXo0TJ85Sr54b//yTcbkmMPA+9eq9x5o1m6lcuTIPHz5kzZo1xV68peUv328k8QYaISdLUupsitgkjOKUmVqFtIEROsER8SrJIpedJamklMCSKUERn+rXJv2Nz1+Qghbt66dI0rx2RrGGD9FXmWi+ErTiLbvSWenTtWRmfQvdn1qn98svv+TZs2cMHTqU27dvA1CqlAX+/qcZNqw/lSpVQKEomN+Ubm7NKV3akrt3Hxq03zVrNnP0qIgEFQgEhY8QcLlk9OjRyGQy5s79niZNOuPo6MLWrd4cPnycsLAI+vUbqVN6Z8eOvbRq1ZOnTyOYPHkyjx49olq1nK11xZGj/gs56r9Qei5LTtHZABSxSdKyanrSBkZIAQ//LauWVNIvlWr92kzeGEa0pUdb97Qg0C6bKs3l+ba8AahTlMSHBAFQrkNvKRH2vn2pRefVajWOjhVZtWoxKpUKhaLgvpLat3fj3LlLBu1z0KC+bNr0u0H7FAiKAu1qiqE3QcEhllBziZmZGa6urvj4+PDy5SsAHj4M5ssvJ/LrrzsAmDVrEb17d+HXX3fwxx9HsbS05Pz58zRs2LAop24wtCKuW8PZmR5P/dAqcvSjkierM80vpy18DlBvxjJkSri1RLOv7qyiq90qSyfICisoQZv3LbdF63NLWstb1m30S9ei/i9AQWFugV2L9tL+zp07S4/j4uKpXr0Zhw5tp2xZO3r06JT/i8iCL76YQGJi7uuaZoebW3M++WQ6Dx8+4p13qhi0b4FAIMgOYYHLA7VqaXxebGys6dWrM56e0ylf3p5u3TQ3qQ0btvH++8P544+jVK1alUePHr014i0taa1xkMYil6TU65dXeiGiXSJMK95AI9wsT+1EJpNRuXJlEp+H53/yuSAz0abdDBGUoC8FbalUGctIMdHf8pZTAIncxBSHbgN4Z8yXOvudnJwwN091anz58hWnTp3H3b07ZcpY53n+OVGjRjXi4uJQKg1nFq1cuQI3bpwRBeYFAkGhIwRcHhg3bhwAr19HcfDgMR48CEKlUnHr1l0ABgwYgKenJ8HBwQQFBWFra1uU0y1Q0i+rQqp/nCZSNeebZVrR8O+madLjEydOUKtWLSpXrsyVK1cACA0NJexg4S5ZyZM1vm1a/7a0m7Z2bEEWldda3wo0aMFELuV8y9b6Zpw7n8QyjVthZGlFwLepovzNmzfEx8fTqFED7O3tAI0lbvfugwwfPlEnOtWQpKSkMGfOEurWdTNooXhTUxMaNerI1q3eeHsfyHduOIFAINAHsYSaB9zc3LC0tJQSbA4YMAo7uzKEhIQybtw41qxZU8QzLHzSL6tK1jhjTRkjlXHG5VStz1VWoqFTp8yX0xKehjCjli0jRowo0OVUbeoP+X+xAoaKIs0LBZUyBFL/D/pY31SK/Kdu2bNnDwB+fjekfW3atMTZuR4NGrTl1q1AGjR4N3+DZIJCoeDIkd/ZtWs/Hh5jGDv2Q777bgVbtnjRs2fel27t7e3YutWL+fN/RK3WiM+BA/sYatoCgUCQKcIClwfkcjm3bt2iU6dOyGQygoND8PX1x9XV9f+leEtLZha5zJZT00Y7pmfKlClS2aX0dOvWHmNjY2bOnAlAwLdTdaw7hkInb1t80Yq3wqSgatamFdqnTp2SHsvlcvr164mLS32io2N48yaWcuUKLjpbrVYTGHgftVrNwoXLUKlUfPDBJ1Sr5kqHDv24c+denvp1c2vO33//j2PHdvP++92khLsCgUBQUAgLXB5xcnLi2LFjqFQqDh48SO3atYukhmlx5aj/QskapzLOOilsWqtPYvQLqlWrRnBwsLRPLpfRr18vdu/+EwCZTE67dq04duw0Dx48oHr16gA6Is5QVjl5SqpoK2rxps2fZ2jSF6vPtm0ul08z48GDB2zevBmZTMbq1Uvx8HhfOla6tCV//LGF8uXt8zdIOl68eImn5/eo1WoOHz7O69fRALRp04aKFSty9uxZVCoVfn43eP/94QQGXszXeKtXb8bb+0+cnesydGg/WrdubojLEAgEAh2EBS6fyOVy+vTpI8RbJhz1X8hfvt9keiwzX66IG6d0xBuAXK5g/fqfMDfXlCn75psvadOmJaDJ5g+a2pGrV68mOjraIPOWrG/FpMxVQYlHrRVU32L1KkX+x/Tw8AA0lQfSijeA27fvUb9+nfwPko6GDduzffseduzYy+vX0YwaNYqUlBT69++PjY0NT548ISwsDHd3d549iyQg4G6+xvv004+ZMWMitWpVZ+TIKURHxxjoSgQCgSAVIeAEBc7xM7Ok+qrZUaFRZ0qVS03FUKqUBRUqlKN//4+5c+cCr17do0qVypiYmABgbKwxBzVt2pQJEybQtGlToqOjiQ9/wkufc8SFpCZtTb/MOq1aaSpePkT07WsZKgJAqt9bcUBllPlSs0H6zuWSaV7831TGqa+/r68vAIcP6xaYT0xMpGfPobx48Sr3A+SANi/j5s2bWbNmDRs2bEAulzNx4kRWr06tfrB06VIAxo6dlmk/+mJkZETv3l2ZMmUs//77N1ZWpfPVn0BQGGSWnD3fW3Ix+iJ9CxFLqIJCQyvi2nVbIu1TJKXmgTO2sKJaxxHEXPgNgLi4OJ48eUpISBh16rTi7t2LjBs3Xbr5z507l5cvX3Lzpiai8OHDh1SuXJmYmFSLh3XDZnSsUZno6FEEfDuVurOWoVarGTNmjNTG0WMMltUN7zRvSFJMZMiVMkBeoHngskJpnrflU5UxpJhBzcXLmF8lteavrW0ZnXZnzlzCyakyFSsavi6wNm3IiBEjdPbL5am/X4OCgujbty/m5ubcuhXI9u27DVLCKjDwAUZGCho3fvvSCAkEgqJFWOAEhc6pozM4dXQG8iQVRvGq/6oLaKIsb+z4huDgYIKDg3n27BlKpZJJkyYRH5+Ao2MjIiKeA2BnZ8eCBQto1qwZAK1aNUWpVBITE0OvXp1ZvFjjfxflf4W9e/fSsmVLunTpwsP1SxlhpbHIDB8+CBMTY4yuHIdkFQlPnqB6E18oOd1ygxSpWwBWOG3qkGxLmeUj+lStAJWRGpWRmgkTJqBQyLly5S+mTh2n0y48/Bnlyxs+eGHLll16tfvwww+5efMm8fGaf/wffxw1yPjr12/lzJn8+dQJBAJBZggLnKDISLus6tb/B2IU0URHR2NlZSXt//PPP9m9e7f0/Pr1WwC8ePFCima0s7Nl+fKFNGvWFYDVq79HLpfz1VeaaFh7+7IEBAQQEBAAIEWw9uvXk0OHjvHo0SPkXt+gjNNY7uoNno1R6bc3d19atEEkOfq/5cH6lmIGSnONMFQbw+vXr7GwMKdmzXcytHV370FcXBxqtTrLCOTcolQq+fbb5QDMmzcv27bu7u5cunSJlJQUZDIZDRvWM8gc/P1vcf36LZo0ccHNrTnx8QmSP6dAIBDkB2GBExQLWr4Tgb/3AmxsbLCxscHCwoKmTZvi4eHB06dPMTc3w82tOYsXz5HOGTiwDw4O5di1ax01a77Dr7+u4NdfV2BpaYmFhYW0RDZ0qDvm5mZ89NFg/vxzK+PHf8TFi4dp27YVX301GblcLok3+7pumFiWyXSOadFWjUi/FSSGjETNKQdfvvs31og3tbFGvAGYmZlSqlQpFi5cRpkyNWncuCMA9+8HceLEGcaNG2Ew8QZw5cpVnj2LBGDOnDnZtv38888xNTVFLpcTGXmH2bMNk5rmn3/2M3PmFGxsrFEqlVSr5kqDBm2ZOPErnj6NMMgYAsHbhJeXF1WrVsXMzIzmzZtLSdyzwtvbmzp16mBmZkaDBg04fPiwzvG9e/fSpUsX7OzskMlkXLt2LUMf7dq1QyaT6Wzjx4+Xjr948YJu3bpRsWJFTE1NcXR0ZOLEiQYLnMsrQsAJigUPHjwANHm6oqKiiI+Px8fHR8qnFR+fwIUL/1KlSiUAmjdvzLp1P3L79nlcXZ0BjRXH3b2H1Ge9erUxMTFh9uxphIXdYNmyBbi5tWDRolnUqVMTgNGjP2DevOmAps7tY99j2YoISaylqcCQdjOKT10OLmhBl18KKjAiM/7q0RtX1yY8fx7Jjz/+AkD16lXx9j5A+/bu3LhxO9NgkvyQ1tKnfX9lh1qtokaNqjq+cfnFwsIcd/ce1K9fByMjI4KDr7Jjx2pKl7ZkwYIfDTaOQPA2sGvXLqZNm4anpydXr17F2dmZrl278uzZs0zbX7hwgSFDhjBq1Cj8/Pzo27cvffv2lfyiAWJjY3Fzc2PJkiWZ9qFlzJgxPH36VNq+//576ZhcLuf999/nwIED3L17l82bN3P8+HEdkVcUyNR6fGtGR0djbW1NVFSUzvKWQGAobt68Se/evUlOTubp06eoVCqcnevRtGkjTp48w8OHjxk3bjjffTeLs2cv8d57LXK80apUKpRKpRS1mhVKpRJn5/aEhYWzd+9eFh4JzrKtPFmNcVzqRyYrq1j6ovDyZHW+LF3yZDWm0SqNMDRAEIPKRE6itUIvC5zKCJJK584HLuW/eqkp5moWV6iMh4cHJiYmUkRoly7t2LVrPTduBNCv30hu3jyDqalpfi4pU37+eT2ent9z6NAhevTokW1bCwsLnJwqcenSEYPPIzNSUlI4f/4KJiYmtGjhWihjCoqG6OgYqlRpXCzvodr7ewfnGRgpDPsZVKYkcvL6Er2vu3nz5jRt2pRVq1YBmu9wR0dHJk2axFdffZWhvYeHB7GxsRw8eFDa16JFC1xcXDIk1Q8ODqZatWr4+fnh4uKic6xdu3a4uLiwfPlyva/t559/ZunSpYSEhOh9jqERPnCCYkH9+vUJCgoC4PHjx/Tr1w9fX1+Cgh4TFOSjI9batm2lV59yuTxH8QaaL4moKI0p3N7eHgjOvL//xJtRvH4CShM1mj+rktbaJz03UASqVrTpI95y4/+mMv4vcOG/cx5OmUb//v2B1HQe588fom7dWgA0aFCXiRNHERcXXyACThtA4Obmlm276Oho4uPjCyQKNisUCgW+vv4EBz8WAk7wVpN+qdHU1DTD5z0pKQlfX1/JRxk03+GdOnXi4sXMA4EuXrzItGm6aX+6du3K/v37cz3H7du3s23bNhwcHOjduzdz5szBwsIi07ZhYWHs3buXtm3b5nocQyKWUAXFDicnJ3x8fDA2NiYm5g1Xr/rz8uXrAhvv1aso4uMTABg2bBi+6zL6P6UXb/IkVZZbantNhK12S7u0qo/vnHZMTT8qgyzJqkzkOoXrc2xvDEoz/a1vaoXG9y3FXBN5CpoAgbSk9/2aMmUsZcrY6DdALrl/PxiZTEZcXFy27c6cOQNAx47vFcg8sqJFC1euXLlaqGMKBJkh1a828Abg6OiItbW1tC1atCjD+JGRkaSkpFC+fHmd/eXLlyc8PDzTOYeHh+eqfVYMHTqUbdu28c8//zBz5ky2bt3KBx98kKHdkCFDsLCwoFKlSlhZWbFhw4ZcjWNohIATFFssLCxQq9V07jwQF5f2BTZO+fL2bNum8ct6/PgxAwcOlI5pBZZxnBq5Uq0j0rJCEnPJGsGn3RRJqWIufXWFzESdNKaB/en0KVwPqelD9O9X11qnDV744IMPqFdPE9U5Z860DCJp3botzJ9fMP5gw4cPRK1W06RJE1SqrP9v2l/4Vas6Fcg8sqJmzWoEBT0u1DEFgsImJCSEqKgoaUtrZSsOjB07lq5du9KgQQOGDRvGli1b2LdvXwbf2WXLlnH16lX++OMPHjx4kMH6V9gIAScotpiZpaZbGD06468hQ2JtXRprayvs7Mqwe/duXty6JIkmreXNKDZ3WcXTCz2jeJVGkCk1VrWsAiHkytQx0wo3Qybw1cv37T9BlpP1TZusN8VMk/NNnUbErVu3jkqVKpGcnAzAiBEeGc4vX94ePz//XF+DPkyb9gkTJ44iNDSUunXrZtnuzJkzyGQyunfvUCDzyIrSpS1Zu/aHQh1TIChsrKysdLbM3CXKli2LQqEgIkLXQh8REYGDQ+auDQ4ODrlqry/Nm2vqF9+/fz/DeHXq1KFPnz6sXbuW1atX8/Tp03yNlR+EgBMUKw4ePMjJkycBdD6YISGhBTpuq1bNCA725bPPNAlmk6IidYRUXslsaTXVwqbKcktr7dPH6mdocpO8V+vzlmKuK94A1q5dS1hYGA8ePKBaNSfs7DLm16tTp2a+649mx4IFX1G3bm0CAwN5/fp1pm2uX78OYNAIVH3p3btroY8pEBQ3TExMcHV15cSJE9I+lUrFiRMnaNmyZabntGzZUqc9wLFjx7Jsry/aVCMVKlTIso3Woq/NlFAUiCAGQbEhLCyM3r17A6mF6gGaNHHh44+HFsoc1q/fCsCe9Qv5fPkFjRXMQOIpfT/ypIxttAXmC4LU3G/6RcPqE7ygjTbV+rulZ8WKFfzyyy/s3LmTatWqsGnT73h7H+Dw4d+lNubm5pQpY63XnPLK48dPsLKywsbGJsOxsLAwYmJiaN8++0CHgmDbtt38++811qxZWuhjCwTFjWnTpjFixAiaNGlCs2bNWL58ObGxsYwcORLQ3BcqVaok+dBNmTKFtm3b8uOPP9KzZ0927tyJj48P69atk/p8+fIljx8/JiwsDIDAwEBAY01zcHDgwYMH7Nixgx49emBnZ4e/vz9Tp06lTZs2NGyoKYF3+PBhIiIiaNq0KZaWlty6dYvp06fTunVrqlatWoivkC5CwAmKDevXr5ceb9myBQsLC1asWMiAAb0LbQ6RkS8BqF27Nkbx5wrd8lXQ42nTm2TfRhO4kGNfaZL1ZoWbmxtubm78/vvvnDt3iZMnz2Zoo0ndYZjSVZnh43ONN29imThxYqbHhwwZAsCXX2Z+vCC5ffsetWpVL/RxBYLiiIeHB8+fP2fu3LmEh4fj4uLC0aNHpUCFx48f61jJW7VqxY4dO5g9ezZff/01NWvWZP/+/dSvX19qc+DAAUkAAgwePBgAT09P5s2bh4mJCcePH5fEoqOjI/3792f27NnSOebm5qxfv56pU6eSmJiIo6Mj/fr1yzS1SWEiBJyg2GBrm7q8VqqUBb16dcbSshTffbecyZNHY2lpWaDjr137G3FxmlqY73t4oVDknIKkJJDW8pY2N12mbf8Tb/pY39S5CHAASErS+MHZ29vp7D9/XpNpvXXrZrnrUE+CgzV5mpo2bZrhmFKp5NKli7zzTpUiSeURFhZOkyYuhT6uQFBcmThxYpY/trTlE9MycOBAncCz9Hz00Ud89NFHWR53dHTk9OnT2c6pffv2XLhwIds2RYHwgRMUGyZNmkRoaCjjxo3DzMycXbv+YMiQcSxd6sXYsV8U2LghIWG8fPmalSs3AvxXdP3tFG/Ztk0j3tRGeStenxkDBgzQeb5//xad55s37+TmzduGGSwTzMw0DtPaPHRp6dKlC0lJyYW2RJ8eK6vS1KxZrUjGFgjSIktUFsgmKDiEgBMUKypWrMiaNWuIjIzEz8+PCRMmAHDs2Gnmzl3CmzdvDDpeUlISjRp1oHr1poSGPmXEiBF4eXlx6ugMTh2dYdCxChutP53KSJM2RGWctfUtvXjLse8cLHRqlYqo02fo3Lkze/bswdm5Hv7+p3n69IaUxBc0pdPOnr2Em1sLva8rt/j5acrqZJbUWZs+5NNPPy6w8bNjzZqlUik4gUAgyA1iCVVQbHFxccHLywt7e3u++eYbVq7cgEqVwsKFXxtsjB9/XE1KSgoKhYLp06dnSDCZmYhr1y37mnrFCaW5PEfLG+ifMkTbNrOUIWl5deQvoo4d5/h/z3v06ISjY8UM7e7cuY9KpdIRdYYkISGB5cvXYm1tLfm+pD9eVKjVajw9v2fWrM8KpAqFQCB4uxG1UAUlAhsbG6Kiojh1aj/OzvXy1Edo6FO2bdvNlSt+mJmZEhh4nwcPgjExMeHFixf59rErLsJOa3nTijd9arAqzfWvuJBiljF44eEU3YSWjRo1kkLxAZyd63Hq1P4Mfb1+HcWtW3ewtrbG3NyM6tWr5jwBPVEqlXTo0I8bN26za9cuBg0alKGNra0tr1694sWLwEJPIRIVFU316s149iygSNKXCAqPklALtVP1zwqkFurxB8uL5XW/DQgLnKBEsHfvXjp27EjHjv2ZOPFj5s37Uu9zz527xPjxXxIaqptwUS6X4+bmxpo1awwSIJHdkmthibvc+LzlhYBvM5YZyww/Pz8OHjwopYVZv/6nTNvZ2FjTunVz1q79jStX/Ni4cbmhpsrChT9x48ZtBgwYIIk3lUrFV199xb1797hw4QKvXr2iWjWnIhFQ9+8H4ehYUYg3gUCQJ4SAE5QIOnTogLe3N5MmTWLFivUEBT1m06afdW5+GzfuwMtLE4hgbm5GUlIycrmcu3cfoFAocHd359NPP6V9+/a8efMGExMTnWoPBYm+/nSGEnpanzd9ub5CP2GmL0qlkqFDh2JkZMSVK0epVq1Ktu179erC/Pk/kpycjLGxHiGwOdCtmweXL19FJpPh7e0t7f/xxx9ZujQ151rDhnU5dGh7vsfLC9ev36JRo4ZFMrZAICj5CAEnKDEMGDCAvn370rx5cw4c+AtHx0aMHfsBT548xcfnmpQuonTp0iQnJyOTyUhJSaFp06YcOHBAp7xKcTXnl/TACS1t2rQhJiaGadM+yVG8AZQta0tiYhIJCYkGEXCXL2sKxLu7u+vsnzRpEp6ensTHa9LFmJiYFHh6mqzo3LkdLVo0KZKxBQJByUfY7gUlCiMjI3x9fVmyZAkKhYLly9exe/efBAeHIJfLuXDhAtHR0cTHxxMXF0diYiJXrlzJd208gf5ERkZy8eJFXF0bMmdO1sWeDx8+QcuWPfj44ykolSksXPgVpUvnX0xt3LgD0KQI2bNnj84xMzMz4uLiWLJEY+kcOLBPvsfLKypVCu++W7PIxhcIBCUbYYETlEi+/PJLvvjiCw4ePEh4eDgODg506NChyKwpglS02cnnzPkcgBMnznLu3CVmzpwipfI4deo8kybNZOXK72jZsgmlSlkwfvxH+R77xImzfPGFJwBz587Npp2mfuLQoe5ZtilInjx5iptbbwIDL2JhYV4kcxAIdFAqNQWQDYlK5IErSISAE5RY5HI5ffoUnQVFkJHw8HB+/fVXHBzK0bZtK/bvP8LIkZMBUCiMmD1b42v34sUrli2bT48enQw6/vz5PwCwcuVKWrdunWW7kJAQzMxMi0zw//XXSTp2fE+IN4FAkGfEEqpAIDAY+/bt+y+/maZyxuzZqXn16tevIz3u378Xffp0M+jYERHP8fcPAMiyFI+Wpk2bkpCQyMGDfxt0Dvpy+vQFmjVrXCRjCwSCtwMh4AQCgUFQqVTMmDEDhUJBnz5dAVCrVdLxZ88iAdi+fTdz5iw26NhJSUls2fI/6XlOCXpXrlyJkZERY8ZM49Ch49m2LQhq1HiHQYOE9VggEOQdIeAEAkGe+emnnzAzM2P58uX4+/sTExODQiHHzMyM8eO/ICwsAgAPj/cZO/ZDAAIC7qJH/vBcsXHjdr77bjmgsa7llB7GysqKVatWkZysZPToz1CpVNm2NzSTJ4+hfv02ODjUw8/vRqGOLRAI3g6EgBMIBHli8uTJfP755yQmJjJz5kypbm1SUjIODvXYtesPAGrVqs6aNT9I55UpY018vGFLWI0Y4SE93rt3r17njBs3jilTppCQkEhAwF2Dzic7duzYQ5s2fUhMTCIxMYnBg8cSEfEcgIMH/6ZyZWcqVKjPiBETOXHibKHNSyAQlCyEgBMIBHnC1tZWepyQkCAVhgdITk6NPktv3Xr48BG9enU26FwsLCwwNdVEuF66dEnv83r06AHAggU/GnQ+WaFSqZg16ztCQkKpVUtT//XZs0jq1GmFk1MjPvzwU5TKFExMTDlw4C8GDPiYLVt2FcrcBAJByUIIOIFAkGvGjx/PokWpAQqNGjVAJpNx7Jg3CxZo0ogMHNiH335bxeXLR3XOXblyEe3buxlsGfX162gqVmxAYmISlpaWDBgwQO9z27dvT40aNfj771MMH/6pQeaTFpVKxevX0URHx9C9+2AqVWrI69fRtG7dmsDAQGJiYli0aBH9+vXD3NyCUqVKYWRkRHR0dJo+DD4tgUDwFiDSiAgEglyhUqlYu3atzr5GjRpw/Phu5HI5TZq4MGHCyCxrfCoUCr755gfq1KmJh8f7+Z5PYmKitCR78uTJXJ0rl8u5d+8erq6u/Pnn36xbt1Xy1TME3boNxsfnGvXr1+HGjdsYGxvToUMHKQ+dpaWllDfvyZMnODo6YmxszNCh/Rg2rD/NmjXGyEh8TQsKgaRkkBu4frIq2bD9CXQQFjiBQJAr5HI5CxculJZQmzRx4euvp+gItpwKtN+5c4/Y2FiDzKd8eXspn9zw4cPz1Id2+XfmzIUGmZMWX9/rqNVqbty4Tbt27UhKSpLEW1qUSiVnz2r83UaNGoaX1xJatWomxJtAIMgSIeAEAkGumDt3Lt9+u5CXL18CUK2aE3Z2tjmcpUu9erW5c+e+wea0fftqgDwn5jUxMUGhUKBSqUhKSsr3fPz9AyhTpqbk/zds2DD++eefLNvXrVuXoUOHIpfLcHfvke/xBQLB248QcAKBQC/Cw8Nxc3NjwYIFGBkZ4excDwBv7wM0bdolV321bt2MsLBwg87PzMwsX1a9lStXArBu3dZ8zyXttZ04cYJt27Zl2k6lUlGtWjXu3bsHwLVrp2jWrFG+xxcIBG8/QsAJBAK9aN++PefPn6dJExf8/U+zYsW3krXo/v2gXPblxrZtvxh0fqVKmfP8+fM8nz9u3Djkcjl//pm/6gw+PtcYMmQcoAn26NChQ5Zt37x5Q3BwMAB9+3bH0bFivsYWCAT/fxACTiAQ5Eh4eDh37twBIDj4MdWqudKuXV/27TvMtWsnuXo199UMbty4zbx5Sw02x5iYWCIjI9m+fXuezpfL5ZiYGBMVFZ1z4yzQRpsC9OnTBy8vr2zbW1lZ0a9fP0Aj4AQCgUBfhIATCATZEhkZyZdffpnm+UvpsYfH+zg6VqJatSq57tfRsSIbN2432FKq1nftzZs3ee7D1taO4OCQPFVmCAy8T6NGHVAqU9ixYwd//PFHjsEcgYGBRERoqlVMmTKblJSUPM1bIBD8/0MIOIFAkC0NGjRg61aNX5iZmakkSmrWfIc1a37IUaRkhY2NNTVqVOPBg2CDzNPCwpzy5cszbty4PPcxffp0EhMTmTs397VaO3Tox6tXUXh6ejJkyJBM29y6dYvFixezceNGatasSZ06dTh//jwVKpTHxaVenl9LQfFmxowFRT0FwVuIiFEXCAqIpKQkQkNDUalUxMbG0rBhw6KeUq54/fo17u7uhIenWsg2bFhO9+4duHLFzyDO9nZ2ZXj58lW++wFo1aopx4+f4erVqzRu3DhPfUyePJkZM2bwyy+b8fLahK1tGQYP7otKpeL+/SB27VqfQWQ9ehRCz57DiIuLZ/z48cybN086plKpWLJkCd7e3ty9e1cnyEIul9GtW3vmzfuS2rVroFKpkMkMnIdLUOQkJiayc+e+op5GziSLPHAlDZlaj3To0dHRWFtbExUVhZWVVWHMSyAo8ZiYmJCcnIxMJkOtVhMbG4uFhUVRT0svgoKCqFv3XRISEqV9pUtbEhzsa1Ar0cuXryhVygJTU9N893Xnzj1atuxBt27dOHLkSJ760CbTzQo7O1vKlbPj+PHdmJmZsWfPQSZM+JKUFBXdu3fH29tb539ctmxZXrx4gUKhoFIlB1xdnenXryevXkXRs2dnbG1tAPD3v8WqVb+ybl3hlPQSFC5167rx9GlEsbyHau/vncp+jJHcxKB9K1VJHI/8tVhe99uAsMAJBAbmzZs32NnZkZys+fWp/Y109+5dXFxcinBm+hEUFESjRo1ISEhk6VJPnj2LpFevLjRsWNfgY8XEvCEo6DGurs757qtOnZqULWsrJcTNC5UrV6Zhw4b4+/vTq1cvDh48qHP8xYuXvHjxksqVXaT/q5mZKf/8cxw3NzepXVJSEtOnT+fFixfIZDKePQvIVvhGRETy6NGTPM9bULw5eXIv777buqinIXjLEA4XAoGBMTIyypAMdsaMGSVCvAF06dKFqKgoqlRxZPToD/j6688KRLwBhIVFMHjwWIYP/5SbN+/ku7/Bg92JjY1l3768L1ldv36dlJQU5s6di7GxcYZlTYVCIYm3Nm3aEBHxTEe8PXjwAGtra37++WfKlLFmy5ZVOVotb9y4zbvv1szznAXFGwsL86KeguAtRAg4gcDAmJmZERAQQM+ePQGQyWQsXpx7p/iiIioqCtCUd5owYQYHDvyFn98N+vUbyezZ3xl0rJYtm+Djc5x69erQu/cHhISE5au/qVPHI5fLmDRpkl7tx4wZQ+nSpXF2dubatWvSfrlczuDBg0lOTkatVqNWq/nkk09477332Lt3r9TuyJEjOktDM2fOpHbt2iQmJvLzz9/x8KEPvXrlnORYu5QqEAgE+iJ84ASCAmLXrl0MHqzJCabHx6xYcO7cOd57770sj5uamhIefrNAxg4Pf4aDQ7l89+PhMYa//z7Fu+++S7ly5YiIiOD8+fNS7VYtarVaxzJWq1YtvL29qV27NqampuzZs4f169ezYcMGKleuLLVTqVTMmjWLYcOGUb9+fWm/v78/Li4uWFqWYtWqxfTp01XvOcfFxSOTyTAzMxWBDG8h0dExVKnSuFjeQ4UPXMlFWOAEggLi8uXLVK9eXecmX9zR+o81aeLChAkjqVChvHSsRo1q+PoeK7CxExISWLZsbb77+frrzzAzM+P27ducPn2aO3fu4OTkxLRp03jyJNXPbOPGjTrnxcfH4+zsTOvWGl+l/v37c/ToUR3xBhrr3KJFi3T+ryqVijZt2qBWq5kxY1KuxBtoltjMzEwZMOBjfHyu5fKKBQLB/0eEgBMICohly5bx4MEDvZfzigPaZd+HD4Px9PyCgIBzvHp1j1ev7vHvv39TqVIFQCNYTp++YLBxo6NjWLFiPcePn853X87O9Xj69AbXr59ixAgPFi+eTVJSEsuWLaNKlSrcvKmxINrZ2UnnGBkZMWDAACpUqICHh0eux+zRowdRUVGUL2/P4MF98zRvmUxGq1bN2LAhb5UkBALB/y+EgBMICoiOHTsCEBAQUMQz0Z+GDRvSv39/Xr58jbNz+yzbdejQj759R3Dlip9Bxv3ss9lcv36Lr7+eYpD+AJycKrF8+ULGjRtBWJg/W7d6oVKpaNiwIT179sTdXRPw4OfnR0xMDD/99BNhYWFMnz49V+NER0fz119/YWdny507F7Czs835pCwYNOh9jh07zbp1W/Pch0CQF9SJiagTDLwlJuY8sCDPCAEnEBQQ+/fvp127dgwbNqyop5IrfHx8AChf3l5n/5EjJ2jevCsJCQlcv34LAC+vjRnOzwtjxw7n99/X0rp1c4P0lx4jIyN69erC7NnTcHKqxOHDhxk0aBAWFha4uLhgZmaW576trKwoXbo0sbGxeSrBlRZHx4ocOfI7VlalUSqVUioagUAgSI8IYhAIBDo4OTkRFhbKw4c+3L37gF27/uDOnXucO3c5Q1u5XM6LF4EGGffRoxDi4hIKPJ2GSqWiSZPOBAU9znNyZX9/f5o3b4alZWkGDhzI/fv3OXbsGB98MIAFC2ZiY5O/70m1Ws3q1ZsxMzPl44+H5qsvQdFTEoIYOpYehpHMwEEM6iROxGwvltf9NiAS+QoEAomTJ08SEhICQJUq2Zejql69Knv2/Gqwsf/55zzr12/j9On9GBkV3FeTXC4nOjoGhUKRp3GSkpIYNGgQCQmJJCYmsXr1akaMGAHAtm27KVfOnjlzpuVrjn5+N/j++1Vcu3YyX/0IBIK3F7GEKhAIJFJSUjLsq1ChPB4e79OlSzuOHNlJrVrvALB+/U9UqZJ12ancMnz4IGQyGSdO5L2Sgj4cOXKCFy9e0b59e0xMcm9xeOeddwgM1FgdTU0159+8eVNahr161V9K5OzhMYZOnfrz/HlkrsaIiXmDk1MlbGyscz0/gaAk4+XlRdWqVTEzM6N58+ZcuXIl2/be3t7UqVMHMzMzGjRowOHDh3WO7927ly5dumBnZ4dMJtPJ96hl3LhxVK9eHXNzc+zt7Xn//fe5c0c3sbhMJsuw7dy5M9/Xmx+EgBMIBBKdO3dm1qxZAMyd+wVPn94gIOAca9b8wK5d62nRwpWLF49w6dIRGjVqYNCx5XI5tWq9Q3j4M4P2mxaVSsX48V8AmooJeeH999+Xll21tWJ9fX1JSEhAJpNx6tR5WrTozgcffMLff5/C19cfT8+lANKStFqt5sKFfzl37rJO8uKUlBTWrv2NEyfOERHxnD59PuTKFT/i4xPyc9kCQYlg165dTJs2DU9PT65evYqzszNdu3bl2bPMvxMuXLjAkCFDGDVqFH5+fvTt25e+fftKkeYAsbGxuLm5sWTJkizHdXV1ZdOmTdy+fZu//voLtVpNly5dMvyg3bRpE0+fPpW2vn37GuS684rwgRMISiAbN25ky5YtHDlyJE8+XNnxxx9/0LdvXxYunElSUjJWVqUZNapw/LAuXvShWjUngyT0TY9KpaJp0848fPgYgPLlyxMeHp7n/oYMGSL9AjcxMZGsbj179uTQoUOA5le7Wq2mbt1arF37I++915syZWy4desss2cv4uzZS4SHP2P8+BHMnDmFmTMXcurUedzcWlC/fh3u3LnHiRNnSUpK5tKlI5ib5z3YQlB0CB84/a67efPmNG3alFWrVgGaz6yjoyOTJk3iq6++ytDew8OD2NhYnZrFLVq0wMXFhTVr1ui0DQ4Oplq1avj5+eVY1tDf3x9nZ2fu379P9erVAc1ned++fUUu2tKSKweQ6OjogpqHQCDQk3///ZfRo0cDsG/fPnr37m3Q/rWJbGfPXgSAjY0VAwdqxkhOTmb27MX8+68fXl5LDB5wUL68Pebm5kRHxxi0X4DTpy9K4g3A2to6T99pKpWKcePG8b///Q9jY2OOHfsfGzf+ztat/+OTTz5h8eLFRERE8OLFC+zt7enUqRPBwSEMGPAxS5bMZfDgviQnJ+PpqbEE3rv3ED+/G0RHv6FiRQd+/30ddnZlpPG+/vozbt++R1JSsohKLaHExLwp6inkiFJt+PeWts/0nzNTU1NMTU119iUlJeHr68vMmTOlfXK5nE6dOnHx4sVM+7948SLTpun6m3bt2pX9+/fnec6xsbFs2rSJatWq4eio6yLy6aefMnr0aN555x3Gjx/PyJEji7ZyiloP4uPj1Q4ODmpAbGITm9jEJjax5XJzcHBQx8fH63PLLVQK+v5uaWmZYZ+np2eGeYSGhqoB9YULF3T2T58+Xd2sWbNM525sbKzesWOHzj4vLy91uXLlMrQNCgpSA2o/P79M+/Ly8lKXKlVKDahr166tvn//vs7x+fPnq8+dO6e+evWqevHixWpTU1P1ihUrsnllCx69LHBmZmYEBQVJSwQCgUAgEAj0x8TEJF/5BguKgr6/q9XqDFaq9Na34sCwYcPo3LkzT58+5YcffmDQoEGcP39e+p/NmTNHatuoUSNiY2NZunQpkydPLqop67+EamZmVizffAKBQCAQCPJOcbi/ly1bFoVCQUREhM7+iIgIHBwcMj3HwcEhV+2zw9raGmtra2rWrEmLFi0oU6YM+/btY8iQIZm2b968OQsWLCAxMbHIBKmIQhUIBAKBQFCkmJiY4OrqyokTJ6R9KpWKEydO0LJly0zPadmypU57gGPHjmXZXl/UajVqtZrEbEqBXbt2jTJlyhSpNVEk8hUIBAKBQFDkTJs2jREjRtCkSROaNWvG8uXLiY2NZeTIkQAMHz6cSpUqsWiRJsBqypQptG3blh9//JGePXuyc+dOfHx8WLdundTny5cvefz4MWFhmnQ92hyODg4OODg48PDhQ3bt2kWXLl2wt7fnyZMnLF68GHNzc3r06AHAn3/+SUREBC1atMDMzIxjx47x3Xff8cUXXxTmy5ORIvXAEwgEAoFAIPiPlStXqp2cnNQmJibqZs2aqS9duiQda9u2rXrEiBE67f/3v/+pa9WqpTYxMVHXq1dPfejQIZ3jmzZtyjS4QhtIERoaqu7evbu6XLlyamNjY3XlypXVQ4cOVd+5c0fq48iRI2oXFxe1paWlulSpUmpnZ2f1mjVr1CkpKQX2OuiDXnngBAKBQCAQCATFB+EDJxAIBAKBQFDCEAJOIBAIBAKBoIQhBJxAIBAIBAJBCUMIOIFAIBAIBIIShhBwAoFAIBAIBCUMIeAEAoFAIBAIShhCwAkEAoFAIBCUMISAEwgEAoFAIChhCAEnEAgEAoFAUMIQAk4gEAgEAoGghCEEnEAgEAgEAkEJ4/8AGusrPhyTjtAAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 1000x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import cartopy.crs as ccrs\n",
    "import cartopy.feature as cfeature\n",
    "\n",
    "# Select chlorophyll data for the specific date\n",
    "chl = dataset_lonlat.sel(time=\"2021-01-01\").chl.squeeze() # Single time-point selection\n",
    "\n",
    "# Create figure and axis with North Polar projection\n",
    "fig, ax = plt.subplots(figsize=(10, 6), subplot_kw={'projection': ccrs.NorthPolarStereo()})\n",
    "\n",
    "#Configure map extent and features\n",
    "ax.set_extent([-180, 180, 60, 90], ccrs.PlateCarree())\n",
    "ax.coastlines()\n",
    "ax.add_feature(cfeature.BORDERS, linestyle=\"--\", linewidth=0.75)\n",
    "ax.add_feature(cfeature.LAND, edgecolor=\"black\")\n",
    "\n",
    "# Generate chlorophyll concentration plot\n",
    "contour = ax.contourf(chl.longitude, chl.latitude, chl, levels=60, cmap='viridis', transform = ccrs.PlateCarree(), vmin=0.0130, vmax=0.03)\n",
    "\n",
    "# Add and format colorbar\n",
    "cbar = plt.colorbar(contour, ax=ax, orientation='vertical', fraction=0.046, pad=0.05)\n",
    "cbar.set_label(\"Chlorophyll Concentration\")\n",
    "\n",
    "\n",
    "# Show the plot\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### With Stereographic Projection\n",
    "\n",
    "- Spatial boundaries are defined onto the stereographic grid (``minimum_x``, ``maximum_x``, ``minimum_y``, ``maximum_y``) rather than the geographical one (``minimum_longitude``, ``minimum_latitude``, etc.)\n",
    "- The dataset part must be explicitly specified as ``\"originalGrid\"`` (as previously documented)\n",
    "\n",
    "The data retrieval with Original-grid projection is performed as follows:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO - 2025-03-31T12:38:52Z - Selected dataset version: \"202105\"\n",
      "INFO - 2025-03-31T12:38:52Z - Selected dataset part: \"originalGrid\"\n"
     ]
    },
    {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 3GB\n",
       "Dimensions:    (time: 5844, depth: 1, y: 161, x: 161)\n",
       "Coordinates:\n",
       "  * depth      (depth) float32 4B 3.0\n",
       "    latitude   (y, x) float32 104kB dask.array&lt;chunksize=(84, 64), meta=np.ndarray&gt;\n",
       "    longitude  (y, x) float32 104kB dask.array&lt;chunksize=(84, 64), meta=np.ndarray&gt;\n",
       "  * time       (time) datetime64[ns] 47kB 2007-01-01 2007-01-02 ... 2022-12-31\n",
       "  * x          (x) float32 644B -20.0 -19.75 -19.5 -19.25 ... 19.5 19.75 20.0\n",
       "  * y          (y) float32 644B -20.0 -19.75 -19.5 -19.25 ... 19.5 19.75 20.0\n",
       "Data variables:\n",
       "    chl        (time, depth, y, x) float64 1GB dask.array&lt;chunksize=(5844, 1, 84, 64), meta=np.ndarray&gt;\n",
       "    zooc       (time, depth, y, x) float64 1GB dask.array&lt;chunksize=(5844, 1, 84, 64), meta=np.ndarray&gt;\n",
       "    o2         (time, depth, y, x) float32 606MB dask.array&lt;chunksize=(5844, 1, 84, 64), meta=np.ndarray&gt;\n",
       "Attributes:\n",
       "    references:   http://topaz.nersc.no\n",
       "    source:       NERSC-HYCOM model fields\n",
       "    institution:  NERSC, Jahnebakken 3, 5006 Bergen, Norway\n",
       "    title:        Arctic Ocean Biogeochemistry Reanalysis, 25km surface daily...\n",
       "    Conventions:  CF-1.4\n",
       "    history:      Created by program hyc2proj, version V0.3</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-414454f6-efe7-474e-a794-119ed100ef29' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-414454f6-efe7-474e-a794-119ed100ef29' 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>: 5844</li><li><span class='xr-has-index'>depth</span>: 1</li><li><span class='xr-has-index'>y</span>: 161</li><li><span class='xr-has-index'>x</span>: 161</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-12983f20-da8c-4d89-bbb2-e3f54dc911d9' class='xr-section-summary-in' type='checkbox'  checked><label for='section-12983f20-da8c-4d89-bbb2-e3f54dc911d9' 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'>depth</span></div><div class='xr-var-dims'>(depth)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>3.0</div><input id='attrs-9f89bc75-6442-4afa-846f-a4dfa4baebfb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9f89bc75-6442-4afa-846f-a4dfa4baebfb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ff623183-d976-413f-b6c0-1f088875252d' class='xr-var-data-in' type='checkbox'><label for='data-ff623183-d976-413f-b6c0-1f088875252d' 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>axis :</span></dt><dd>Z</dd><dt><span>long_name :</span></dt><dd>Depth</dd><dt><span>standard_name :</span></dt><dd>depth</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array([3.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(84, 64), meta=np.ndarray&gt;</div><input id='attrs-85c5c1f8-dd71-4238-b708-28d8bb9d3386' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-85c5c1f8-dd71-4238-b708-28d8bb9d3386' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2dea1e5a-14bf-497e-98c7-4457ca7f9793' class='xr-var-data-in' type='checkbox'><label for='data-2dea1e5a-14bf-497e-98c7-4457ca7f9793' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                        <th> Chunk </th>\n",
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       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 101.25 kiB </td>\n",
       "                        <td> 21.00 kiB </td>\n",
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       "                        <td> (84, 64) </td>\n",
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       "                    <tr>\n",
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       "                        <td colspan=\"2\"> 6 chunks in 4 graph layers </td>\n",
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       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(84, 64), meta=np.ndarray&gt;</div><input id='attrs-23927a03-b148-495e-8c92-5ed47383883c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-23927a03-b148-495e-8c92-5ed47383883c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1785ee33-7034-453a-beaf-ac9b9b6e5b41' class='xr-var-data-in' type='checkbox'><label for='data-1785ee33-7034-453a-beaf-ac9b9b6e5b41' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                        <th> Bytes </th>\n",
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       "                        <td> 21.00 kiB </td>\n",
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       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 6 chunks in 4 graph layers </td>\n",
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       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2007-01-01 ... 2022-12-31</div><input id='attrs-a7cde3e7-e4c0-4fa6-b292-97b7e95437f9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a7cde3e7-e4c0-4fa6-b292-97b7e95437f9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-445eed0e-50ff-4fe5-a7e5-5b2f4bd10ff5' class='xr-var-data-in' type='checkbox'><label for='data-445eed0e-50ff-4fe5-a7e5-5b2f4bd10ff5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>unit_long :</span></dt><dd>Hour Since 1950-01-01T00:00:00+00:00</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2007-01-01T00:00:00.000000000&#x27;, &#x27;2007-01-02T00:00:00.000000000&#x27;,\n",
       "       &#x27;2007-01-03T00:00:00.000000000&#x27;, ..., &#x27;2022-12-29T00:00:00.000000000&#x27;,\n",
       "       &#x27;2022-12-30T00:00:00.000000000&#x27;, &#x27;2022-12-31T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-20.0 -19.75 -19.5 ... 19.75 20.0</div><input id='attrs-426254bc-bb68-4d1f-ae64-81405310dc53' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-426254bc-bb68-4d1f-ae64-81405310dc53' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-638c4360-5926-47f1-a8a8-be9f946a3a0e' class='xr-var-data-in' type='checkbox'><label for='data-638c4360-5926-47f1-a8a8-be9f946a3a0e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>100  km</dd><dt><span>standard_name :</span></dt><dd>projection_x_coordinate</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([-20.  , -19.75, -19.5 , -19.25, -19.  , -18.75, -18.5 , -18.25, -18.  ,\n",
       "       -17.75, -17.5 , -17.25, -17.  , -16.75, -16.5 , -16.25, -16.  , -15.75,\n",
       "       -15.5 , -15.25, -15.  , -14.75, -14.5 , -14.25, -14.  , -13.75, -13.5 ,\n",
       "       -13.25, -13.  , -12.75, -12.5 , -12.25, -12.  , -11.75, -11.5 , -11.25,\n",
       "       -11.  , -10.75, -10.5 , -10.25, -10.  ,  -9.75,  -9.5 ,  -9.25,  -9.  ,\n",
       "        -8.75,  -8.5 ,  -8.25,  -8.  ,  -7.75,  -7.5 ,  -7.25,  -7.  ,  -6.75,\n",
       "        -6.5 ,  -6.25,  -6.  ,  -5.75,  -5.5 ,  -5.25,  -5.  ,  -4.75,  -4.5 ,\n",
       "        -4.25,  -4.  ,  -3.75,  -3.5 ,  -3.25,  -3.  ,  -2.75,  -2.5 ,  -2.25,\n",
       "        -2.  ,  -1.75,  -1.5 ,  -1.25,  -1.  ,  -0.75,  -0.5 ,  -0.25,   0.  ,\n",
       "         0.25,   0.5 ,   0.75,   1.  ,   1.25,   1.5 ,   1.75,   2.  ,   2.25,\n",
       "         2.5 ,   2.75,   3.  ,   3.25,   3.5 ,   3.75,   4.  ,   4.25,   4.5 ,\n",
       "         4.75,   5.  ,   5.25,   5.5 ,   5.75,   6.  ,   6.25,   6.5 ,   6.75,\n",
       "         7.  ,   7.25,   7.5 ,   7.75,   8.  ,   8.25,   8.5 ,   8.75,   9.  ,\n",
       "         9.25,   9.5 ,   9.75,  10.  ,  10.25,  10.5 ,  10.75,  11.  ,  11.25,\n",
       "        11.5 ,  11.75,  12.  ,  12.25,  12.5 ,  12.75,  13.  ,  13.25,  13.5 ,\n",
       "        13.75,  14.  ,  14.25,  14.5 ,  14.75,  15.  ,  15.25,  15.5 ,  15.75,\n",
       "        16.  ,  16.25,  16.5 ,  16.75,  17.  ,  17.25,  17.5 ,  17.75,  18.  ,\n",
       "        18.25,  18.5 ,  18.75,  19.  ,  19.25,  19.5 ,  19.75,  20.  ],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-20.0 -19.75 -19.5 ... 19.75 20.0</div><input id='attrs-41c11679-a9c2-4332-a282-1c55afc8bc39' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-41c11679-a9c2-4332-a282-1c55afc8bc39' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-020b4aea-92d1-4cc2-95b9-7a71d4395ec4' class='xr-var-data-in' type='checkbox'><label for='data-020b4aea-92d1-4cc2-95b9-7a71d4395ec4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>100  km</dd><dt><span>standard_name :</span></dt><dd>projection_y_coordinate</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([-20.  , -19.75, -19.5 , -19.25, -19.  , -18.75, -18.5 , -18.25, -18.  ,\n",
       "       -17.75, -17.5 , -17.25, -17.  , -16.75, -16.5 , -16.25, -16.  , -15.75,\n",
       "       -15.5 , -15.25, -15.  , -14.75, -14.5 , -14.25, -14.  , -13.75, -13.5 ,\n",
       "       -13.25, -13.  , -12.75, -12.5 , -12.25, -12.  , -11.75, -11.5 , -11.25,\n",
       "       -11.  , -10.75, -10.5 , -10.25, -10.  ,  -9.75,  -9.5 ,  -9.25,  -9.  ,\n",
       "        -8.75,  -8.5 ,  -8.25,  -8.  ,  -7.75,  -7.5 ,  -7.25,  -7.  ,  -6.75,\n",
       "        -6.5 ,  -6.25,  -6.  ,  -5.75,  -5.5 ,  -5.25,  -5.  ,  -4.75,  -4.5 ,\n",
       "        -4.25,  -4.  ,  -3.75,  -3.5 ,  -3.25,  -3.  ,  -2.75,  -2.5 ,  -2.25,\n",
       "        -2.  ,  -1.75,  -1.5 ,  -1.25,  -1.  ,  -0.75,  -0.5 ,  -0.25,   0.  ,\n",
       "         0.25,   0.5 ,   0.75,   1.  ,   1.25,   1.5 ,   1.75,   2.  ,   2.25,\n",
       "         2.5 ,   2.75,   3.  ,   3.25,   3.5 ,   3.75,   4.  ,   4.25,   4.5 ,\n",
       "         4.75,   5.  ,   5.25,   5.5 ,   5.75,   6.  ,   6.25,   6.5 ,   6.75,\n",
       "         7.  ,   7.25,   7.5 ,   7.75,   8.  ,   8.25,   8.5 ,   8.75,   9.  ,\n",
       "         9.25,   9.5 ,   9.75,  10.  ,  10.25,  10.5 ,  10.75,  11.  ,  11.25,\n",
       "        11.5 ,  11.75,  12.  ,  12.25,  12.5 ,  12.75,  13.  ,  13.25,  13.5 ,\n",
       "        13.75,  14.  ,  14.25,  14.5 ,  14.75,  15.  ,  15.25,  15.5 ,  15.75,\n",
       "        16.  ,  16.25,  16.5 ,  16.75,  17.  ,  17.25,  17.5 ,  17.75,  18.  ,\n",
       "        18.25,  18.5 ,  18.75,  19.  ,  19.25,  19.5 ,  19.75,  20.  ],\n",
       "      dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e4c3a72c-e294-4630-a450-361a98c1e980' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e4c3a72c-e294-4630-a450-361a98c1e980' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>chl</span></div><div class='xr-var-dims'>(time, depth, y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(5844, 1, 84, 64), meta=np.ndarray&gt;</div><input id='attrs-f2f75486-fad3-491e-b987-613de5023685' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f2f75486-fad3-491e-b987-613de5023685' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8d2da796-b078-499e-b8d3-32cfef5b143e' class='xr-var-data-in' type='checkbox'><label for='data-8d2da796-b078-499e-b8d3-32cfef5b143e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mg m-3</dd><dt><span>standard_name :</span></dt><dd>mass_concentration_of_chlorophyll_a_in_sea_water</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                        <td> (5844, 1, 84, 64) </td>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 1.13 GiB </td>\n",
       "                        <td> 239.70 MiB </td>\n",
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       "                    <tr>\n",
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       "                    <tr>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>o2</span></div><div class='xr-var-dims'>(time, depth, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(5844, 1, 84, 64), meta=np.ndarray&gt;</div><input id='attrs-3f327170-6367-4f1d-a00f-a18e3cde0084' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3f327170-6367-4f1d-a00f-a18e3cde0084' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-945e4126-7912-4329-8cd4-f7d8152e57e0' class='xr-var-data-in' type='checkbox'><label for='data-945e4126-7912-4329-8cd4-f7d8152e57e0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mmol m-3</dd><dt><span>standard_name :</span></dt><dd>mole_concentration_of_dissolved_molecular_oxygen_in_sea_water</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                        <th> Bytes </th>\n",
       "                        <td> 577.86 MiB </td>\n",
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       "                        <td> (5844, 1, 84, 64) </td>\n",
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       "                        <td colspan=\"2\"> 6 chunks in 4 graph layers </td>\n",
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       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-0bde71a1-ed9a-4a3a-b94d-b5da7cb31998' class='xr-section-summary-in' type='checkbox'  ><label for='section-0bde71a1-ed9a-4a3a-b94d-b5da7cb31998' class='xr-section-summary' >Indexes: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>depth</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-da8a2393-eed1-41ba-b8fd-a98ace292298' class='xr-index-data-in' type='checkbox'/><label for='index-da8a2393-eed1-41ba-b8fd-a98ace292298' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([3.0], dtype=&#x27;float32&#x27;, name=&#x27;depth&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-59d0873a-e846-4db1-a83e-b6e228cddeb3' class='xr-index-data-in' type='checkbox'/><label for='index-59d0873a-e846-4db1-a83e-b6e228cddeb3' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2007-01-01&#x27;, &#x27;2007-01-02&#x27;, &#x27;2007-01-03&#x27;, &#x27;2007-01-04&#x27;,\n",
       "               &#x27;2007-01-05&#x27;, &#x27;2007-01-06&#x27;, &#x27;2007-01-07&#x27;, &#x27;2007-01-08&#x27;,\n",
       "               &#x27;2007-01-09&#x27;, &#x27;2007-01-10&#x27;,\n",
       "               ...\n",
       "               &#x27;2022-12-22&#x27;, &#x27;2022-12-23&#x27;, &#x27;2022-12-24&#x27;, &#x27;2022-12-25&#x27;,\n",
       "               &#x27;2022-12-26&#x27;, &#x27;2022-12-27&#x27;, &#x27;2022-12-28&#x27;, &#x27;2022-12-29&#x27;,\n",
       "               &#x27;2022-12-30&#x27;, &#x27;2022-12-31&#x27;],\n",
       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=5844, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-98550584-ee16-476d-b391-8a81e67f4e5e' class='xr-index-data-in' type='checkbox'/><label for='index-98550584-ee16-476d-b391-8a81e67f4e5e' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ -20.0, -19.75,  -19.5, -19.25,  -19.0, -18.75,  -18.5, -18.25,  -18.0,\n",
       "       -17.75,\n",
       "       ...\n",
       "        17.75,   18.0,  18.25,   18.5,  18.75,   19.0,  19.25,   19.5,  19.75,\n",
       "         20.0],\n",
       "      dtype=&#x27;float32&#x27;, name=&#x27;x&#x27;, length=161))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-0081fdb9-76bc-499c-be70-528e723b4ed9' class='xr-index-data-in' type='checkbox'/><label for='index-0081fdb9-76bc-499c-be70-528e723b4ed9' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ -20.0, -19.75,  -19.5, -19.25,  -19.0, -18.75,  -18.5, -18.25,  -18.0,\n",
       "       -17.75,\n",
       "       ...\n",
       "        17.75,   18.0,  18.25,   18.5,  18.75,   19.0,  19.25,   19.5,  19.75,\n",
       "         20.0],\n",
       "      dtype=&#x27;float32&#x27;, name=&#x27;y&#x27;, length=161))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a731818a-9cd9-4fc0-b6e7-1026f789b65f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a731818a-9cd9-4fc0-b6e7-1026f789b65f' class='xr-section-summary' >Attributes: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>references :</span></dt><dd>http://topaz.nersc.no</dd><dt><span>source :</span></dt><dd>NERSC-HYCOM model fields</dd><dt><span>institution :</span></dt><dd>NERSC, Jahnebakken 3, 5006 Bergen, Norway</dd><dt><span>title :</span></dt><dd>Arctic Ocean Biogeochemistry Reanalysis, 25km surface daily mean</dd><dt><span>Conventions :</span></dt><dd>CF-1.4</dd><dt><span>history :</span></dt><dd>Created by program hyc2proj, version V0.3</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset> Size: 3GB\n",
       "Dimensions:    (time: 5844, depth: 1, y: 161, x: 161)\n",
       "Coordinates:\n",
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       "    latitude   (y, x) float32 104kB dask.array<chunksize=(84, 64), meta=np.ndarray>\n",
       "    longitude  (y, x) float32 104kB dask.array<chunksize=(84, 64), meta=np.ndarray>\n",
       "  * time       (time) datetime64[ns] 47kB 2007-01-01 2007-01-02 ... 2022-12-31\n",
       "  * x          (x) float32 644B -20.0 -19.75 -19.5 -19.25 ... 19.5 19.75 20.0\n",
       "  * y          (y) float32 644B -20.0 -19.75 -19.5 -19.25 ... 19.5 19.75 20.0\n",
       "Data variables:\n",
       "    chl        (time, depth, y, x) float64 1GB dask.array<chunksize=(5844, 1, 84, 64), meta=np.ndarray>\n",
       "    zooc       (time, depth, y, x) float64 1GB dask.array<chunksize=(5844, 1, 84, 64), meta=np.ndarray>\n",
       "    o2         (time, depth, y, x) float32 606MB dask.array<chunksize=(5844, 1, 84, 64), meta=np.ndarray>\n",
       "Attributes:\n",
       "    references:   http://topaz.nersc.no\n",
       "    source:       NERSC-HYCOM model fields\n",
       "    institution:  NERSC, Jahnebakken 3, 5006 Bergen, Norway\n",
       "    title:        Arctic Ocean Biogeochemistry Reanalysis, 25km surface daily...\n",
       "    Conventions:  CF-1.4\n",
       "    history:      Created by program hyc2proj, version V0.3"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import copernicusmarine as cmt\n",
    "# We filter the dask errors and warnings\n",
    "import dask\n",
    "import warnings\n",
    "# Disable dask warnings by specifying 'error' as its level of logging\n",
    "dask.config.set({'logging.distributed': 'error'})\n",
    "# Disable all other warnings\n",
    "warnings.filterwarnings(\"ignore\")\n",
    "dataset_stereographic = cmt.open_dataset(\n",
    "    dataset_id=\"cmems_mod_arc_bgc_my_ecosmo_P1D-m\", \n",
    "    variables=[\"chl\", \"zooc\", \"o2\"], \n",
    "    minimum_y=-20, \n",
    "    maximum_y=20, \n",
    "    minimum_x=-20, \n",
    "    maximum_x=20,\n",
    "    dataset_part=\"originalGrid\"\n",
    ")\n",
    "dataset_stereographic"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import cartopy.crs as ccrs\n",
    "import cartopy.feature as cfeature\n",
    "\n",
    "# Select chlorophyll data for the specific date\n",
    "chl = dataset_stereographic.sel(time=\"2021-01-01\").chl.squeeze() # Single time-point selection\n",
    "\n",
    "fig = plt.figure(figsize=(10,6), dpi=100)\n",
    "fig.patch.set_visible(True)\n",
    "fig.set_facecolor(\"white\")\n",
    "\n",
    "# Create an \"ax\" from which we add the projection\n",
    "ax = plt.axes(projection=ccrs.NorthPolarStereo())\n",
    "\n",
    "\n",
    "gl2 = ax.gridlines(draw_labels=True, color = 'lightgray', linewidth=0.1)\n",
    "gl2.right_labels = False\n",
    "gl2.top_labels = False\n",
    "ax.axis('off')\n",
    "\n",
    "ax.set_extent([-180, 180, 60, 90], crs=ccrs.PlateCarree())\n",
    "\n",
    "# Generate chlorophyll concentration plot\n",
    "contour = ax.pcolormesh(chl.x*100000, chl.y*100000, chl, cmap='viridis', transform=ccrs.NorthPolarStereo(-45), vmin=0.0130, vmax=0.03)\n",
    "\n",
    "# Add map features\n",
    "ax.coastlines()\n",
    "ax.add_feature(cfeature.BORDERS, linewidth=0.5, edgecolor=\"lightgray\")\n",
    "ax.add_feature(cfeature.RIVERS, linewidth=0.5)\n",
    "ax.add_feature(cfeature.LAND, linewidth=0.5, facecolor='#f1f1f1', edgecolor='lightgray', zorder=1)\n",
    "\n",
    "# Add and format colorbar\n",
    "cbar = plt.colorbar(contour, ax=ax, orientation='vertical', fraction=0.046, pad=0.05)\n",
    "cbar.set_label(\"Chlorophyll Concentration\")\n",
    "\n",
    "plt.xlabel(\"x (m)\")\n",
    "plt.ylabel(\"y (m)\")\n",
    "# Show the plot\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## CLI Options, Shortcuts and Behaviour\n",
    "\n",
    "As with all toolbox functionality, you may alternatively use the command-line interface (CLI) to retrieve data in Original-grid projections. This requires careful specification of both the correct coordinate bounds option and the correct dataset part."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Dataset Part and Coordinate Arguments\n",
    "\n",
    "**Standard Geographic Coordinates (Longitude/Latitude):**\n",
    "\n",
    "When working with conventional latitude/longitude projections, you specify the area using degree-based boundaries:\n",
    "\n",
    "```bash\n",
    "copernicusmarine subset -i cmems_mod_arc_bgc_my_ecosmo_P1D-m -o cmems_mod_arc_bgc_my_ecosmo_P1D-m_subset -v chl -v zooc -v o2 --minimum-latitude 60 --maximum-latitude 85 --minimum-longitude -180 --maximum-longitude 180 --dry-run\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Original-Grid Projection Requirements:**\n",
    "\n",
    "For stereographic or other Original-grid projections, you must:\n",
    "\n",
    "- Explicitly declare ``--dataset-part originalGrid``\n",
    "- Use projected coordinates (e.g., `--maximum-x`) instead of geographic coordinates\n",
    "- Ensure coordinate values are within the dataset value range\n",
    "\n",
    "```bash\n",
    "copernicusmarine subset -i cmems_mod_arc_bgc_my_ecosmo_P1D-m -v chl -v zooc -v o2 --minimum-y -5 --maximum-y 5 --minimum-x -10 --maximum-x 10 --dry-run --dataset-part originalGrid\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Shortcuts and units\n",
    "\n",
    "The toolbox provides abbreviated flags for coordinate specification:\n",
    "\n",
    "**Original-Grid Projection (Length Units):**\n",
    "\n",
    "When using ``--dataset-part originalGrid``, the shortcuts -x/-X (x-axis) and -y/-Y (y-axis) are interpreted as length units (meters or kilometers depending on dataset):\n",
    "\n",
    "```bash\n",
    "copernicusmarine subset -i cmems_mod_arc_bgc_my_ecosmo_P1D-m -v chl -v zooc -v o2 -y -5 -Y 5 -x -10 -X 10 --dry-run --dataset-part originalGrid\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Geographic Coordinates (Degrees):**\n",
    "\n",
    "Without the originalGrid part specification, the same shortcuts default to degree units:\n",
    "\n",
    "```bash\n",
    "copernicusmarine subset -i cmems_mod_arc_bgc_my_ecosmo_P1D-m -v chl -v zooc -v o2 -y 65 -Y 85 -x -180 -X 180 --dry-run\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Critical Unit Considerations\n",
    "\n",
    "Original-grid datasets exhibit important unit variations:\n",
    "\n",
    "1. **Unit Discrepancies:**\n",
    "- Some datasets use meters (e.g., bounds like -5,500,000 to 5,500,000)\n",
    "- Others use 100km units (e.g., bounds like -28 to 43)\n",
    "2. **Verification Methods:**\n",
    "- Check the ``coordinates_extent`` in subset responses\n",
    "- Use the ``describe`` command to inspect metadata before subsetting"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Check the output of the response with the `subset`:\n",
    "\n",
    "```bash\n",
    "copernicusmarine subset -i cmems_mod_arc_phy_my_hflux_P1M-m -y 25000 -Y 850000 -x -10000 -X 1800000 --dry-run --dataset-part originalGrid \n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Comprehensive Dataset Inspection:\n",
    "\n",
    "```bash\n",
    "copernicusmarine describe -i cmems_mod_arc_phy_my_hflux_P1M-m -r coordinates,label,name,service_name -e values\n",
    "```\n",
    "\n",
    "*Note: Always verify the correct dataset part (typically the second part for Original-grid data) when using describe.*"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Important Note About Using Stereographic Projection"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "When working with stereographic data, it’s important to remember that the grid axes don’t usually line up with true geographic directions. This means that the 'x' and 'y' axes in the model grid do not correspond to east and north, contrary to the conventions of the commonly used PlateCarree projection. To correctly interpret or combine this data with other geographic information (like winds, currents, or satellite tracks), the vector components must be rotated. Forgetting this step can lead to serious errors in direction and magnitude, especially near the poles or in distorted regions of the projection. For this reason we provide a Python function doing said rotation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import cartopy.crs as ccrs\n",
    "from typing import Union\n",
    "\n",
    "def rotate_velocity_stereographic_to_PlateCarree(\n",
    "    vx: Union[np.ndarray, xr.DataArray],\n",
    "    vy: Union[np.ndarray, xr.DataArray],\n",
    "    x:  Union[np.ndarray, xr.DataArray],\n",
    "    y:  Union[np.ndarray, xr.DataArray]) -> tuple(Union[np.ndarray, xr.DataArray], Union[np.ndarray, xr.DataArray]):\n",
    "    \"\"\"\n",
    "    Rotate or transform vector velocities from a stereographic projection to geographic (PlateCarree) projection.\n",
    "\n",
    "     Parameters\n",
    "    ----------\n",
    "        vx: Union[np.ndarray, xr.DataArray]\n",
    "            x-component of velocity (in x direction of grid). \n",
    "        vy: Union[np.ndarray, xr.DataArray]\n",
    "            y-component of velocity (in y direction of grid).\n",
    "        x: Union[np.ndarray, xr.DataArray]\n",
    "            x-coordinates (grid). Can be 1D or 2D.\n",
    "        y: Union[np.ndarray, xr.DataArray]\n",
    "            y-coordinates (grid). Can be 1D or 2D.\n",
    "\n",
    "\n",
    "    Returns\n",
    "    -------\n",
    "        vx_rot, vy_rot: (Union[np.ndarray, xr.DataArray], Union[np.ndarray, xr.DataArray])\n",
    "            Transformed velocity components in the geographic projection.\n",
    "    \"\"\"\n",
    "\n",
    "    # Create 2D grids if x and y are 1D\n",
    "    if x.ndim == 1 and y.ndim == 1:\n",
    "        x2d, y2d = np.meshgrid(x, y)\n",
    "    else:\n",
    "        x2d, y2d = x, y\n",
    "\n",
    "     source_proj = ccrs.Stereographic(\n",
    "            central_latitude=90,\n",
    "            true_scale_latitude=90,\n",
    "            central_longitude=-45,\n",
    "            globe=ccrs.Globe(semimajor_axis=6378273, semiminor_axis=6378273)\n",
    "        )\n",
    "\n",
    "    target_proj = ccrs.PlateCarree()\n",
    "\n",
    "    # Perform vector transformation\n",
    "    vx_rot, vy_rot = target_proj.transform_vectors(\n",
    "        source_proj, x2d, y2d, vx, vy\n",
    "    )\n",
    "\n",
    "    return vx_rot, vy_rot"
   ]
  }
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