{
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   "source": [
    "# Image Collection to xarray\n",
    "\n",
    "In this tutorial, we'll look at how we can use `wxee` and the `wx` accessor to convert an `ee.ImageCollection` of gridMET weather data to an `xarray.Dataset` for visualization and further processing."
   ]
  },
  {
   "attachments": {},
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   "id": "ed60a5a7",
   "metadata": {},
   "source": [
    "## Setup"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "bccb26d6",
   "metadata": {},
   "outputs": [],
   "source": [
    "!pip install wxee"
   ]
  },
  {
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   "execution_count": 1,
   "id": "5b574ca8",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-09-12T04:08:21.828409Z",
     "start_time": "2021-09-12T04:08:19.186307Z"
    }
   },
   "outputs": [],
   "source": [
    "import ee\n",
    "import wxee\n",
    "\n",
    "ee.Authenticate()\n",
    "wxee.Initialize()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "c04d7ebe",
   "metadata": {},
   "source": [
    "## Converting to xarray"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "8082e10f",
   "metadata": {},
   "source": [
    "Load the gridMET image collection."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "e4d7e62f",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-09-12T04:08:22.978703Z",
     "start_time": "2021-09-12T04:08:22.975803Z"
    }
   },
   "outputs": [],
   "source": [
    "gridmet = ee.ImageCollection(\"IDAHO_EPSCOR/GRIDMET\")"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "a02118b8",
   "metadata": {},
   "source": [
    "Select a date range of the collection to download to xarray. gridMET has 1 image per day, so this will give us 6 images."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "c0d0ff5f",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-09-12T04:08:23.982787Z",
     "start_time": "2021-09-12T04:08:23.979982Z"
    }
   },
   "outputs": [],
   "source": [
    "collection = gridmet.filterDate(\"2020-09-05\", \"2020-09-11\")"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "f74b8b23",
   "metadata": {},
   "source": [
    "Set the download parameters. We'll use the full gridMET image extent of the continental US, but if we wanted to select a specific region we could pass an `ee.Geometry.Polygon` to the `region` argument."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "d9ca60d2",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-09-12T04:08:24.786599Z",
     "start_time": "2021-09-12T04:08:24.783795Z"
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   "source": [
    "# The coordinate reference system to use (NAD83 Albers CONUS)\n",
    "crs = \"EPSG:5070\"\n",
    "# Spatial resolution in CRS units (meters)\n",
    "scale = 20_000"
   ]
  },
  {
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   "id": "d46edbcf",
   "metadata": {},
   "source": [
    "The `wx` accessor extends images and image collections with additional functionality including `to_xarray`. We'll use that to download the collection, storing it in memory as an `xarray.Dataset`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "8b7b7aa4",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-09-12T04:08:32.401697Z",
     "start_time": "2021-09-12T04:08:27.124414Z"
    }
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   "outputs": [
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     "data": {
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       "model_id": "543a1b8dc4404c1a9604c0b709cf748c",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Requesting:   0%|          | 0/6 [00:00<?, ?it/s]"
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       "Downloading:   0%|          | 0/6 [00:00<?, ?it/s]"
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    "arr = collection.wx.to_xarray(scale=scale, crs=crs)"
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    "<div class=\"alert alert-block alert-info\">\n",
    "<b>Tip:</b> If the download fails due to a DownloadError, retry or increase the max_attempts argument.\n",
    "</div>"
   ]
  },
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   "attachments": {},
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   "id": "9525f1fe",
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   "source": [
    "The downloaded array has 6 time coordinates (1 for each image) and 16 variables (1 for each band)."
   ]
  },
  {
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   "id": "a1649cc6",
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     "start_time": "2021-09-12T04:08:40.300802Z"
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       "Dimensions:  (time: 6, y: 154, x: 292)\n",
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       "    ...       ...\n",
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       "    transform:               (20000.0, 0.0, -2920000.0, 0.0, -20000.0, 328000...\n",
       "    crs:                     +init=epsg:5070\n",
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       "    AREA_OR_POINT:           Area\n",
       "    TIFFTAG_RESOLUTIONUNIT:  1 (unitless)\n",
       "    TIFFTAG_XRESOLUTION:     1\n",
       "    TIFFTAG_YRESOLUTION:     1</pre><div class='xr-wrap' hidden><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-a979e7a6-90dc-47de-8d40-24cf8b21beb8' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a979e7a6-90dc-47de-8d40-24cf8b21beb8' 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>: 6</li><li><span class='xr-has-index'>y</span>: 154</li><li><span class='xr-has-index'>x</span>: 292</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-90e1df37-d5a3-4733-9dcc-2126e3d6c13c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-90e1df37-d5a3-4733-9dcc-2126e3d6c13c' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>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'>2020-09-05T06:00:00 ... 2020-09-...</div><input id='attrs-9cd9b341-7544-439f-8126-bf5634a02839' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9cd9b341-7544-439f-8126-bf5634a02839' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-434c77d4-b0da-4e3d-a559-c45ffdd3c32a' class='xr-var-data-in' type='checkbox'><label for='data-434c77d4-b0da-4e3d-a559-c45ffdd3c32a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2020-09-05T06:00:00.000000000&#x27;, &#x27;2020-09-06T06:00:00.000000000&#x27;,\n",
       "       &#x27;2020-09-07T06:00:00.000000000&#x27;, &#x27;2020-09-08T06:00:00.000000000&#x27;,\n",
       "       &#x27;2020-09-09T06:00:00.000000000&#x27;, &#x27;2020-09-10T06:00:00.000000000&#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'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>3.27e+06 3.25e+06 ... 2.1e+05</div><input id='attrs-f2787c90-e0f5-4a63-86cc-d8b76aefcbf7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f2787c90-e0f5-4a63-86cc-d8b76aefcbf7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1adad067-06e4-435a-aaa4-65bb32b82865' class='xr-var-data-in' type='checkbox'><label for='data-1adad067-06e4-435a-aaa4-65bb32b82865' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([3270000., 3250000., 3230000., 3210000., 3190000., 3170000., 3150000.,\n",
       "       3130000., 3110000., 3090000., 3070000., 3050000., 3030000., 3010000.,\n",
       "       2990000., 2970000., 2950000., 2930000., 2910000., 2890000., 2870000.,\n",
       "       2850000., 2830000., 2810000., 2790000., 2770000., 2750000., 2730000.,\n",
       "       2710000., 2690000., 2670000., 2650000., 2630000., 2610000., 2590000.,\n",
       "       2570000., 2550000., 2530000., 2510000., 2490000., 2470000., 2450000.,\n",
       "       2430000., 2410000., 2390000., 2370000., 2350000., 2330000., 2310000.,\n",
       "       2290000., 2270000., 2250000., 2230000., 2210000., 2190000., 2170000.,\n",
       "       2150000., 2130000., 2110000., 2090000., 2070000., 2050000., 2030000.,\n",
       "       2010000., 1990000., 1970000., 1950000., 1930000., 1910000., 1890000.,\n",
       "       1870000., 1850000., 1830000., 1810000., 1790000., 1770000., 1750000.,\n",
       "       1730000., 1710000., 1690000., 1670000., 1650000., 1630000., 1610000.,\n",
       "       1590000., 1570000., 1550000., 1530000., 1510000., 1490000., 1470000.,\n",
       "       1450000., 1430000., 1410000., 1390000., 1370000., 1350000., 1330000.,\n",
       "       1310000., 1290000., 1270000., 1250000., 1230000., 1210000., 1190000.,\n",
       "       1170000., 1150000., 1130000., 1110000., 1090000., 1070000., 1050000.,\n",
       "       1030000., 1010000.,  990000.,  970000.,  950000.,  930000.,  910000.,\n",
       "        890000.,  870000.,  850000.,  830000.,  810000.,  790000.,  770000.,\n",
       "        750000.,  730000.,  710000.,  690000.,  670000.,  650000.,  630000.,\n",
       "        610000.,  590000.,  570000.,  550000.,  530000.,  510000.,  490000.,\n",
       "        470000.,  450000.,  430000.,  410000.,  390000.,  370000.,  350000.,\n",
       "        330000.,  310000.,  290000.,  270000.,  250000.,  230000.,  210000.])</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'>float64</div><div class='xr-var-preview xr-preview'>-2.91e+06 -2.89e+06 ... 2.91e+06</div><input id='attrs-6a058e64-7f1c-4538-807f-3696e306f4bb' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6a058e64-7f1c-4538-807f-3696e306f4bb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c20190f9-1cee-44f3-b593-00a5ba38a0bb' class='xr-var-data-in' type='checkbox'><label for='data-c20190f9-1cee-44f3-b593-00a5ba38a0bb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-2910000., -2890000., -2870000., ...,  2870000.,  2890000.,  2910000.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a579ff32-fef5-47c9-9f82-877a21904313' class='xr-section-summary-in' type='checkbox'  ><label for='section-a579ff32-fef5-47c9-9f82-877a21904313' class='xr-section-summary' >Data variables: <span>(16)</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>pr</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-4026e9de-df92-4a1f-bd8f-e24bd21e0060' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4026e9de-df92-4a1f-bd8f-e24bd21e0060' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2d7a89fe-6d5e-443e-8d1f-e61ccb2512f8' class='xr-var-data-in' type='checkbox'><label for='data-2d7a89fe-6d5e-443e-8d1f-e61ccb2512f8' 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>transform :</span></dt><dd>(20000.0, 0.0, -2920000.0, 0.0, -20000.0, 3280000.0)</dd><dt><span>crs :</span></dt><dd>+init=epsg:5070</dd><dt><span>res :</span></dt><dd>(20000.0, 20000.0)</dd><dt><span>is_tiled :</span></dt><dd>1</dd><dt><span>nodatavals :</span></dt><dd>(-32768.0,)</dd><dt><span>scales :</span></dt><dd>(1.0,)</dd><dt><span>offsets :</span></dt><dd>(0.0,)</dd><dt><span>AREA_OR_POINT :</span></dt><dd>Area</dd><dt><span>TIFFTAG_RESOLUTIONUNIT :</span></dt><dd>1 (unitless)</dd><dt><span>TIFFTAG_XRESOLUTION :</span></dt><dd>1</dd><dt><span>TIFFTAG_YRESOLUTION :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>array([[[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "...\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rmax</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-ad47da3c-099d-40e2-bb22-f794664f3e68' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ad47da3c-099d-40e2-bb22-f794664f3e68' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9281e588-c4a6-4e7d-a501-1c34eae19ae8' class='xr-var-data-in' type='checkbox'><label for='data-9281e588-c4a6-4e7d-a501-1c34eae19ae8' 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>transform :</span></dt><dd>(20000.0, 0.0, -2920000.0, 0.0, -20000.0, 3280000.0)</dd><dt><span>crs :</span></dt><dd>+init=epsg:5070</dd><dt><span>res :</span></dt><dd>(20000.0, 20000.0)</dd><dt><span>is_tiled :</span></dt><dd>1</dd><dt><span>nodatavals :</span></dt><dd>(-32768.0,)</dd><dt><span>scales :</span></dt><dd>(1.0,)</dd><dt><span>offsets :</span></dt><dd>(0.0,)</dd><dt><span>AREA_OR_POINT :</span></dt><dd>Area</dd><dt><span>TIFFTAG_RESOLUTIONUNIT :</span></dt><dd>1 (unitless)</dd><dt><span>TIFFTAG_XRESOLUTION :</span></dt><dd>1</dd><dt><span>TIFFTAG_YRESOLUTION :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>array([[[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "...\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rmin</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-930934bc-c8e8-4f28-a902-256513b77623' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-930934bc-c8e8-4f28-a902-256513b77623' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3becf2ed-ba50-4ee9-9e04-0afd6c8df485' class='xr-var-data-in' type='checkbox'><label for='data-3becf2ed-ba50-4ee9-9e04-0afd6c8df485' 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>transform :</span></dt><dd>(20000.0, 0.0, -2920000.0, 0.0, -20000.0, 3280000.0)</dd><dt><span>crs :</span></dt><dd>+init=epsg:5070</dd><dt><span>res :</span></dt><dd>(20000.0, 20000.0)</dd><dt><span>is_tiled :</span></dt><dd>1</dd><dt><span>nodatavals :</span></dt><dd>(-32768.0,)</dd><dt><span>scales :</span></dt><dd>(1.0,)</dd><dt><span>offsets :</span></dt><dd>(0.0,)</dd><dt><span>AREA_OR_POINT :</span></dt><dd>Area</dd><dt><span>TIFFTAG_RESOLUTIONUNIT :</span></dt><dd>1 (unitless)</dd><dt><span>TIFFTAG_XRESOLUTION :</span></dt><dd>1</dd><dt><span>TIFFTAG_YRESOLUTION :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>array([[[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "...\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sph</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-4b7ad142-5b71-4e53-a35c-34cb5978ae82' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4b7ad142-5b71-4e53-a35c-34cb5978ae82' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-860354eb-74ba-4e08-bb80-3aa94fa0e38b' class='xr-var-data-in' type='checkbox'><label for='data-860354eb-74ba-4e08-bb80-3aa94fa0e38b' 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>transform :</span></dt><dd>(20000.0, 0.0, -2920000.0, 0.0, -20000.0, 3280000.0)</dd><dt><span>crs :</span></dt><dd>+init=epsg:5070</dd><dt><span>res :</span></dt><dd>(20000.0, 20000.0)</dd><dt><span>is_tiled :</span></dt><dd>1</dd><dt><span>nodatavals :</span></dt><dd>(-32768.0,)</dd><dt><span>scales :</span></dt><dd>(1.0,)</dd><dt><span>offsets :</span></dt><dd>(0.0,)</dd><dt><span>AREA_OR_POINT :</span></dt><dd>Area</dd><dt><span>TIFFTAG_RESOLUTIONUNIT :</span></dt><dd>1 (unitless)</dd><dt><span>TIFFTAG_XRESOLUTION :</span></dt><dd>1</dd><dt><span>TIFFTAG_YRESOLUTION :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>array([[[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "...\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>srad</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-b716824b-7c83-4987-834e-fe5a8bb01ece' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b716824b-7c83-4987-834e-fe5a8bb01ece' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-55a9a56a-9abf-47cf-a809-1d4e13643876' class='xr-var-data-in' type='checkbox'><label for='data-55a9a56a-9abf-47cf-a809-1d4e13643876' 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>transform :</span></dt><dd>(20000.0, 0.0, -2920000.0, 0.0, -20000.0, 3280000.0)</dd><dt><span>crs :</span></dt><dd>+init=epsg:5070</dd><dt><span>res :</span></dt><dd>(20000.0, 20000.0)</dd><dt><span>is_tiled :</span></dt><dd>1</dd><dt><span>nodatavals :</span></dt><dd>(-32768.0,)</dd><dt><span>scales :</span></dt><dd>(1.0,)</dd><dt><span>offsets :</span></dt><dd>(0.0,)</dd><dt><span>AREA_OR_POINT :</span></dt><dd>Area</dd><dt><span>TIFFTAG_RESOLUTIONUNIT :</span></dt><dd>1 (unitless)</dd><dt><span>TIFFTAG_XRESOLUTION :</span></dt><dd>1</dd><dt><span>TIFFTAG_YRESOLUTION :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>array([[[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "...\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>th</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-ee81220f-47ef-44e3-a1c1-d47ff1f445eb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ee81220f-47ef-44e3-a1c1-d47ff1f445eb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7807d85e-7dd2-461c-8c61-f24fed512b50' class='xr-var-data-in' type='checkbox'><label for='data-7807d85e-7dd2-461c-8c61-f24fed512b50' 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>transform :</span></dt><dd>(20000.0, 0.0, -2920000.0, 0.0, -20000.0, 3280000.0)</dd><dt><span>crs :</span></dt><dd>+init=epsg:5070</dd><dt><span>res :</span></dt><dd>(20000.0, 20000.0)</dd><dt><span>is_tiled :</span></dt><dd>1</dd><dt><span>nodatavals :</span></dt><dd>(-32768.0,)</dd><dt><span>scales :</span></dt><dd>(1.0,)</dd><dt><span>offsets :</span></dt><dd>(0.0,)</dd><dt><span>AREA_OR_POINT :</span></dt><dd>Area</dd><dt><span>TIFFTAG_RESOLUTIONUNIT :</span></dt><dd>1 (unitless)</dd><dt><span>TIFFTAG_XRESOLUTION :</span></dt><dd>1</dd><dt><span>TIFFTAG_YRESOLUTION :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>array([[[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "...\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tmmn</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-f29a6195-1073-4c94-907d-edd5d3e5799b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f29a6195-1073-4c94-907d-edd5d3e5799b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-24619952-82ea-4bd6-95ff-4b21f418c9e4' class='xr-var-data-in' type='checkbox'><label for='data-24619952-82ea-4bd6-95ff-4b21f418c9e4' 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>transform :</span></dt><dd>(20000.0, 0.0, -2920000.0, 0.0, -20000.0, 3280000.0)</dd><dt><span>crs :</span></dt><dd>+init=epsg:5070</dd><dt><span>res :</span></dt><dd>(20000.0, 20000.0)</dd><dt><span>is_tiled :</span></dt><dd>1</dd><dt><span>nodatavals :</span></dt><dd>(-32768.0,)</dd><dt><span>scales :</span></dt><dd>(1.0,)</dd><dt><span>offsets :</span></dt><dd>(0.0,)</dd><dt><span>AREA_OR_POINT :</span></dt><dd>Area</dd><dt><span>TIFFTAG_RESOLUTIONUNIT :</span></dt><dd>1 (unitless)</dd><dt><span>TIFFTAG_XRESOLUTION :</span></dt><dd>1</dd><dt><span>TIFFTAG_YRESOLUTION :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>array([[[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "...\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tmmx</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-477b3a24-3857-4881-9371-dff9ae14d5d5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-477b3a24-3857-4881-9371-dff9ae14d5d5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d4765c55-e005-4820-96c2-25a36d2b83b2' class='xr-var-data-in' type='checkbox'><label for='data-d4765c55-e005-4820-96c2-25a36d2b83b2' 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>transform :</span></dt><dd>(20000.0, 0.0, -2920000.0, 0.0, -20000.0, 3280000.0)</dd><dt><span>crs :</span></dt><dd>+init=epsg:5070</dd><dt><span>res :</span></dt><dd>(20000.0, 20000.0)</dd><dt><span>is_tiled :</span></dt><dd>1</dd><dt><span>nodatavals :</span></dt><dd>(-32768.0,)</dd><dt><span>scales :</span></dt><dd>(1.0,)</dd><dt><span>offsets :</span></dt><dd>(0.0,)</dd><dt><span>AREA_OR_POINT :</span></dt><dd>Area</dd><dt><span>TIFFTAG_RESOLUTIONUNIT :</span></dt><dd>1 (unitless)</dd><dt><span>TIFFTAG_XRESOLUTION :</span></dt><dd>1</dd><dt><span>TIFFTAG_YRESOLUTION :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>array([[[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "...\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vs</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-ca91ec07-28e3-4936-ab48-485bcc48363c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ca91ec07-28e3-4936-ab48-485bcc48363c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5e8ede66-1719-4a3a-ac50-ed695428779a' class='xr-var-data-in' type='checkbox'><label for='data-5e8ede66-1719-4a3a-ac50-ed695428779a' 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>transform :</span></dt><dd>(20000.0, 0.0, -2920000.0, 0.0, -20000.0, 3280000.0)</dd><dt><span>crs :</span></dt><dd>+init=epsg:5070</dd><dt><span>res :</span></dt><dd>(20000.0, 20000.0)</dd><dt><span>is_tiled :</span></dt><dd>1</dd><dt><span>nodatavals :</span></dt><dd>(-32768.0,)</dd><dt><span>scales :</span></dt><dd>(1.0,)</dd><dt><span>offsets :</span></dt><dd>(0.0,)</dd><dt><span>AREA_OR_POINT :</span></dt><dd>Area</dd><dt><span>TIFFTAG_RESOLUTIONUNIT :</span></dt><dd>1 (unitless)</dd><dt><span>TIFFTAG_XRESOLUTION :</span></dt><dd>1</dd><dt><span>TIFFTAG_YRESOLUTION :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>array([[[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "...\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>erc</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-f0a98bef-11db-416c-961a-42cbc7ada636' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f0a98bef-11db-416c-961a-42cbc7ada636' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-053a4c4b-8fe3-49bd-ae3a-eea38d284ff9' class='xr-var-data-in' type='checkbox'><label for='data-053a4c4b-8fe3-49bd-ae3a-eea38d284ff9' 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>transform :</span></dt><dd>(20000.0, 0.0, -2920000.0, 0.0, -20000.0, 3280000.0)</dd><dt><span>crs :</span></dt><dd>+init=epsg:5070</dd><dt><span>res :</span></dt><dd>(20000.0, 20000.0)</dd><dt><span>is_tiled :</span></dt><dd>1</dd><dt><span>nodatavals :</span></dt><dd>(-32768.0,)</dd><dt><span>scales :</span></dt><dd>(1.0,)</dd><dt><span>offsets :</span></dt><dd>(0.0,)</dd><dt><span>AREA_OR_POINT :</span></dt><dd>Area</dd><dt><span>TIFFTAG_RESOLUTIONUNIT :</span></dt><dd>1 (unitless)</dd><dt><span>TIFFTAG_XRESOLUTION :</span></dt><dd>1</dd><dt><span>TIFFTAG_YRESOLUTION :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>array([[[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "...\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>eto</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-6a32a8c1-9b89-4283-b37a-53b32f363fb0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6a32a8c1-9b89-4283-b37a-53b32f363fb0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f4e6e8ee-6afe-415d-928b-0f39ad2a976f' class='xr-var-data-in' type='checkbox'><label for='data-f4e6e8ee-6afe-415d-928b-0f39ad2a976f' 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>transform :</span></dt><dd>(20000.0, 0.0, -2920000.0, 0.0, -20000.0, 3280000.0)</dd><dt><span>crs :</span></dt><dd>+init=epsg:5070</dd><dt><span>res :</span></dt><dd>(20000.0, 20000.0)</dd><dt><span>is_tiled :</span></dt><dd>1</dd><dt><span>nodatavals :</span></dt><dd>(-32768.0,)</dd><dt><span>scales :</span></dt><dd>(1.0,)</dd><dt><span>offsets :</span></dt><dd>(0.0,)</dd><dt><span>AREA_OR_POINT :</span></dt><dd>Area</dd><dt><span>TIFFTAG_RESOLUTIONUNIT :</span></dt><dd>1 (unitless)</dd><dt><span>TIFFTAG_XRESOLUTION :</span></dt><dd>1</dd><dt><span>TIFFTAG_YRESOLUTION :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>array([[[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "...\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>bi</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-5e8cf376-53ca-4257-801e-ec8db7bc037e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5e8cf376-53ca-4257-801e-ec8db7bc037e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f5b719bd-1f9c-40db-a351-2190cb76ea32' class='xr-var-data-in' type='checkbox'><label for='data-f5b719bd-1f9c-40db-a351-2190cb76ea32' 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>transform :</span></dt><dd>(20000.0, 0.0, -2920000.0, 0.0, -20000.0, 3280000.0)</dd><dt><span>crs :</span></dt><dd>+init=epsg:5070</dd><dt><span>res :</span></dt><dd>(20000.0, 20000.0)</dd><dt><span>is_tiled :</span></dt><dd>1</dd><dt><span>nodatavals :</span></dt><dd>(-32768.0,)</dd><dt><span>scales :</span></dt><dd>(1.0,)</dd><dt><span>offsets :</span></dt><dd>(0.0,)</dd><dt><span>AREA_OR_POINT :</span></dt><dd>Area</dd><dt><span>TIFFTAG_RESOLUTIONUNIT :</span></dt><dd>1 (unitless)</dd><dt><span>TIFFTAG_XRESOLUTION :</span></dt><dd>1</dd><dt><span>TIFFTAG_YRESOLUTION :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>array([[[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "...\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>fm100</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-01304ee8-ee5a-45a4-b8a8-0bd0fb7efe8e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-01304ee8-ee5a-45a4-b8a8-0bd0fb7efe8e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aba152f9-38f6-44e7-bde5-81eca580474d' class='xr-var-data-in' type='checkbox'><label for='data-aba152f9-38f6-44e7-bde5-81eca580474d' 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>transform :</span></dt><dd>(20000.0, 0.0, -2920000.0, 0.0, -20000.0, 3280000.0)</dd><dt><span>crs :</span></dt><dd>+init=epsg:5070</dd><dt><span>res :</span></dt><dd>(20000.0, 20000.0)</dd><dt><span>is_tiled :</span></dt><dd>1</dd><dt><span>nodatavals :</span></dt><dd>(-32768.0,)</dd><dt><span>scales :</span></dt><dd>(1.0,)</dd><dt><span>offsets :</span></dt><dd>(0.0,)</dd><dt><span>AREA_OR_POINT :</span></dt><dd>Area</dd><dt><span>TIFFTAG_RESOLUTIONUNIT :</span></dt><dd>1 (unitless)</dd><dt><span>TIFFTAG_XRESOLUTION :</span></dt><dd>1</dd><dt><span>TIFFTAG_YRESOLUTION :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>array([[[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "...\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>fm1000</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-11c9f06d-9430-4b30-8768-48021169066d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-11c9f06d-9430-4b30-8768-48021169066d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5b7446c3-be94-4779-a11b-072541696400' class='xr-var-data-in' type='checkbox'><label for='data-5b7446c3-be94-4779-a11b-072541696400' 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>transform :</span></dt><dd>(20000.0, 0.0, -2920000.0, 0.0, -20000.0, 3280000.0)</dd><dt><span>crs :</span></dt><dd>+init=epsg:5070</dd><dt><span>res :</span></dt><dd>(20000.0, 20000.0)</dd><dt><span>is_tiled :</span></dt><dd>1</dd><dt><span>nodatavals :</span></dt><dd>(-32768.0,)</dd><dt><span>scales :</span></dt><dd>(1.0,)</dd><dt><span>offsets :</span></dt><dd>(0.0,)</dd><dt><span>AREA_OR_POINT :</span></dt><dd>Area</dd><dt><span>TIFFTAG_RESOLUTIONUNIT :</span></dt><dd>1 (unitless)</dd><dt><span>TIFFTAG_XRESOLUTION :</span></dt><dd>1</dd><dt><span>TIFFTAG_YRESOLUTION :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>array([[[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "...\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>etr</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-eb93c3e4-bd0e-4047-a480-89db9ec68108' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eb93c3e4-bd0e-4047-a480-89db9ec68108' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-74dbe27d-ba18-46a1-9f5a-283efd6d0793' class='xr-var-data-in' type='checkbox'><label for='data-74dbe27d-ba18-46a1-9f5a-283efd6d0793' 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>transform :</span></dt><dd>(20000.0, 0.0, -2920000.0, 0.0, -20000.0, 3280000.0)</dd><dt><span>crs :</span></dt><dd>+init=epsg:5070</dd><dt><span>res :</span></dt><dd>(20000.0, 20000.0)</dd><dt><span>is_tiled :</span></dt><dd>1</dd><dt><span>nodatavals :</span></dt><dd>(-32768.0,)</dd><dt><span>scales :</span></dt><dd>(1.0,)</dd><dt><span>offsets :</span></dt><dd>(0.0,)</dd><dt><span>AREA_OR_POINT :</span></dt><dd>Area</dd><dt><span>TIFFTAG_RESOLUTIONUNIT :</span></dt><dd>1 (unitless)</dd><dt><span>TIFFTAG_XRESOLUTION :</span></dt><dd>1</dd><dt><span>TIFFTAG_YRESOLUTION :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>array([[[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "...\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vpd</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-dba188a6-a255-4753-b73b-4626bfd6d941' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dba188a6-a255-4753-b73b-4626bfd6d941' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7240fa91-c6a0-4598-9bb9-a27fc78392ba' class='xr-var-data-in' type='checkbox'><label for='data-7240fa91-c6a0-4598-9bb9-a27fc78392ba' 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>transform :</span></dt><dd>(20000.0, 0.0, -2920000.0, 0.0, -20000.0, 3280000.0)</dd><dt><span>crs :</span></dt><dd>+init=epsg:5070</dd><dt><span>res :</span></dt><dd>(20000.0, 20000.0)</dd><dt><span>is_tiled :</span></dt><dd>1</dd><dt><span>nodatavals :</span></dt><dd>(-32768.0,)</dd><dt><span>scales :</span></dt><dd>(1.0,)</dd><dt><span>offsets :</span></dt><dd>(0.0,)</dd><dt><span>AREA_OR_POINT :</span></dt><dd>Area</dd><dt><span>TIFFTAG_RESOLUTIONUNIT :</span></dt><dd>1 (unitless)</dd><dt><span>TIFFTAG_XRESOLUTION :</span></dt><dd>1</dd><dt><span>TIFFTAG_YRESOLUTION :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>array([[[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "...\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d960298c-4b50-4d23-bbb6-38c975c7ee7e' class='xr-section-summary-in' type='checkbox'  ><label for='section-d960298c-4b50-4d23-bbb6-38c975c7ee7e' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>transform :</span></dt><dd>(20000.0, 0.0, -2920000.0, 0.0, -20000.0, 3280000.0)</dd><dt><span>crs :</span></dt><dd>+init=epsg:5070</dd><dt><span>res :</span></dt><dd>(20000.0, 20000.0)</dd><dt><span>is_tiled :</span></dt><dd>1</dd><dt><span>nodatavals :</span></dt><dd>(-32768.0,)</dd><dt><span>scales :</span></dt><dd>(1.0,)</dd><dt><span>offsets :</span></dt><dd>(0.0,)</dd><dt><span>AREA_OR_POINT :</span></dt><dd>Area</dd><dt><span>TIFFTAG_RESOLUTIONUNIT :</span></dt><dd>1 (unitless)</dd><dt><span>TIFFTAG_XRESOLUTION :</span></dt><dd>1</dd><dt><span>TIFFTAG_YRESOLUTION :</span></dt><dd>1</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:  (time: 6, y: 154, x: 292)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 2020-09-05T06:00:00 ... 2020-09-10T06:00:00\n",
       "  * y        (y) float64 3.27e+06 3.25e+06 3.23e+06 ... 2.5e+05 2.3e+05 2.1e+05\n",
       "  * x        (x) float64 -2.91e+06 -2.89e+06 -2.87e+06 ... 2.89e+06 2.91e+06\n",
       "Data variables: (12/16)\n",
       "    pr       (time, y, x) float32 nan nan nan nan nan ... nan nan nan nan nan\n",
       "    rmax     (time, y, x) float32 nan nan nan nan nan ... nan nan nan nan nan\n",
       "    rmin     (time, y, x) float32 nan nan nan nan nan ... nan nan nan nan nan\n",
       "    sph      (time, y, x) float32 nan nan nan nan nan ... nan nan nan nan nan\n",
       "    srad     (time, y, x) float32 nan nan nan nan nan ... nan nan nan nan nan\n",
       "    th       (time, y, x) float32 nan nan nan nan nan ... nan nan nan nan nan\n",
       "    ...       ...\n",
       "    eto      (time, y, x) float32 nan nan nan nan nan ... nan nan nan nan nan\n",
       "    bi       (time, y, x) float32 nan nan nan nan nan ... nan nan nan nan nan\n",
       "    fm100    (time, y, x) float32 nan nan nan nan nan ... nan nan nan nan nan\n",
       "    fm1000   (time, y, x) float32 nan nan nan nan nan ... nan nan nan nan nan\n",
       "    etr      (time, y, x) float32 nan nan nan nan nan ... nan nan nan nan nan\n",
       "    vpd      (time, y, x) float32 nan nan nan nan nan ... nan nan nan nan nan\n",
       "Attributes:\n",
       "    transform:               (20000.0, 0.0, -2920000.0, 0.0, -20000.0, 328000...\n",
       "    crs:                     +init=epsg:5070\n",
       "    res:                     (20000.0, 20000.0)\n",
       "    is_tiled:                1\n",
       "    nodatavals:              (-32768.0,)\n",
       "    scales:                  (1.0,)\n",
       "    offsets:                 (0.0,)\n",
       "    AREA_OR_POINT:           Area\n",
       "    TIFFTAG_RESOLUTIONUNIT:  1 (unitless)\n",
       "    TIFFTAG_XRESOLUTION:     1\n",
       "    TIFFTAG_YRESOLUTION:     1"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "arr"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "a1e14cc6",
   "metadata": {},
   "source": [
    "## Visualizing"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "024b90d5",
   "metadata": {},
   "source": [
    "Let's calculate the max wind velocity over the time dimension and plot it."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "9532259c",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-09-12T04:08:43.627301Z",
     "start_time": "2021-09-12T04:08:43.112511Z"
    },
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x7fa51c759f40>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 720x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "arr.vs.max(\"time\").plot(figsize=(10, 5), cmap=\"magma\")"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "b2b04422",
   "metadata": {},
   "source": [
    "Going a little further, let's calculate the Hot-Dry-Windy (HDW) index and see how it changed over the 6 days."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "07e494f7",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-09-12T04:08:47.861095Z",
     "start_time": "2021-09-12T04:08:46.906007Z"
    },
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<xarray.plot.facetgrid.FacetGrid at 0x7fa51c5b0cd0>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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xOuiD3rcJxaPaACHATZIpYFDxKKHmV9UDnq3iEUQMW/YKAyYcmNscyy0GOsFJTUJOQ4mjpmJJzpAZ+1hJqX3NpeknGdk95m6fG4c/d39PvEePHncdi9U3uLz9KRbly3htyNMpVpKNfibQmxNb4HzFVnGNodnGkHJgbjL3+wzNDpaUQqY402BjRnjidzmQl7GSYtSwN/koe+l7WekRtV/w4u2fvY9n3qNHj7uNZw9+iid3vx+NQettfYFCJjzu34uxH6JiSS0lK38YGGcMsJIgWFLNEQwFY26bm1hSjEmQDSmYxi8xkiJiSJI9topr1H6J81Uv2tmjx0MPvVf05ruGcxOyEpFCRH5RRH5FRL4oIv/WGduIiPw5EfmN6LPUq7H06NGjR48ePXr06NGjxzsVLb35nIWs7ibOM9NbAr9NVWcSpEb/kYj8A1X9+Y1tfifwdHx8guC59EDJBga7IgPagBicr7CmwEiCdlnehjy9iPMl29njNJTc1hfYlcdwWmMwmFjf22iJYPDi8ThEDQu3TyKBUrTwtxnbS3xw9wexpDzBNb7El1A8X7/1d+/rd9GjR4+3j0X1CrULlkWNW2LsCCMpiR2i6knsAFVHkW0zsVdY+UNKv49NHiMhZ6TbJJpQSk5icxotaWhwNBixHLuXyMwYKzkzf4ORuUBux3xw9wd5Uq/zq/LZPvPbo8dDAkfDlr2ClRSnNdf8k5RU5FpgxHDJXeEl+wKOGq+OAVMO/LMkNic3Y7Z0B4DalDhbU/kZA7uDJQlMNhx5skXdzCibY9JkBMCweBLFUzczVGucO7qfX0OPHj16nF/Qq6oKtPKjaXzoqc1+APircdufF5FtEbmqqi+eV7vuNlrqMtKqNNeoJlHsweBpUCUGwzmpDBlqTi4DGhr29BqlrAAY6gRHjcHiqHFa47UmM2MMBo9nZPbIZIioodAhJY4dLnNobvLJnT/Ky/JtLupjXDM7/O39//19/GZ6PGwYFNdZrr5FkT+GjbY6qp7F6hv3uWUPF5bVTRI7BMBrg9OGxGRdqYSIIbUFAFu6CwYKMyXRlB19D0tZkGnOWEfcNgkLOQKl61MGZgfBkJohe3KdRksyBqQaftNL+gQ3zDe5tvPb2V/8OqoNIgnOr3pf4B53DXl2lbJ6kTS92KmRq3qq+uX73LKHC4tmn6vJh8h9gWDISZmaASvfUGtOg+eCu8KROQRgoEO89Thq9uQ6SxZs+22uues8H8Ti2eVRFnKE9w3W5DhfMswuYk0e1KA3OYTJmLqZkSTbeF8CBKFP9A6OFz16vDU8tvPPhPHMjLvXvnXr79/HFj3sUEQfLHrzudb0RnnpzwDvBf6Cqp6WEL0GPLvx93PxtRNBr4j8CPAjAI8//vi5tfetILEjGneMMQMgDNqKR9pVUF91Kqvz6gYfNP89Dswt9vwOVgwLLamloqYkYUAqBVYTnNQUjLEmrM4qDo+noaTQMQZLLRU3uUWqGanmpJoykh08npmv+R9f+DcBGFrLJDNMszDQ/B+/9qfv2/fV48FGkT/WPTeS4LTqguEHBe/k/gRgmF/Gxcmhqg+TSDJSM6D2SwwGKzlWUi7oLivmjHRKrjlOGjLNUPGIGsZ+C2PCglnGoNMN8BL6qZXMSDUn0dBH3eA2meYkkrMlFynzI1bNbZyvMJKQZ1cBgzEJ1mSo+l7ApsdbRpZe3vjLIBJee9AC33dyn3I5+QC1lDymV9nnmDkrCsbsZQXPVUccmUMyzcg0o5QVVi2ZDkjYomTJQEeUUjHREZfdY9wyOQMdMJfbjNPLOGoaSbpMspEE/BJjTOivJImLGgkqMUmgHkGwJizuKdrZr21atfXo8WbgqLvnlhTB8OTu9/duKOeJB6ym91yDXlV1wDPRVPjHReTDqrppHixn7XbGcX4M+DGAj33sY696//7CIBIEH7yWQDB5b0VnQnbGkSZDdounsN5yVa8wtikHbkUpFRVLBMOx3CLVQGPOdICTBq8ufkpK0k5UmbGn11jJgoqalIxdf4lSKt7Do+zrnBlLLtocgzBKhcJCYRUj8Cef+jNcyOFq4Vg6ofLh8ce+2AfDPc5Gnl3DmgxjkshuCCJuIuaMO/adjXdyfzIorpMlW2FBIao3C4bGVyQGrCQ0viITSyI5CcIlf4WUhAaPUcGLYjVhJnMUz9CPcNIwk2NWMsOrw2ApGONjf1Kbkh1/qWOdXNbHOZRbDOw2zpexLaE/M5J0gjaKZ1g8GdoZ2S7t/7PFV+/9F9jjgYG0NlwnxkqCzd8Dhndqn/KBvd9HxoCL7hJeoJQVE50w8xW+VgZk3JQlmWbMzCFLPaS2JdfcYzxvn6XQEZVUDDThJfMygmFLd/AohY4pZYaoJzfjELT6BSKGZX0LY1KMpDgtu4V/awY4P0dxsYUGERsnggbw0artDLkZbXB+cU++tx4PHnbGH2GSPYonlAxmEhZUHPY+t6zHOwn3RL1ZVW+LyM8A3wtsBr3PAY9t/P0o8MK9aNPdQqD+hQ7aSB5UVvEhMFCiVdGArewq2zwSglZ1HPoZS7OgIdTwrpjRaElKjok3qVGLFxczvR5LChBWVGkYapi0GgSPJ9cMBCZS8Jy8zKzeQgTGWYYIGAEfh+PblTBODI3C0gkC/Psf/DPdKkRulHkjvBDZR3/2W31A/G6GMeuuQvFYCVRYp9UJNc8ebw/L1beYjj+MMSmJyalcCFyNxAmkL8nsiKl9hFRzGlUEQ0mNiXdvqilOGgAaaYLAItr9TsEezeLFYzXBS0qioW/JNdCmRQ3beoGRTHkphcrNg11wF/iG7Q2g4vG+OXEe3jfk2dWYqW4wksR+MrShrJ4/52+yx4OANtBt+xfvq2487fH28Wv7f52P7P4rVDQ06qlkyUISdnRKbiwv+1ts+VCzW+gIS0LFkiOZsesusSMjDnVJKYF5UsmSiZ9SS02uBakMQKDRFWjd9QtZrOstm2MyO6Jxq1DyJRleS9RXIJvBSAh4gWDziI/e5AAeVddlhkPAbLr3gI423ePdiyLZxmuNxzNgiqjpxsEe5wRlHVQ8IDi3oFdELgJ1DHgHwD8N/LunNvt7wB8Rkf+UIGB1+CDV857GZtYrTCwdxuQU2R5b9gqqnm+Zr+Dx7PEoM/YRDFbSIFBDTskCIxZLGihGmgaqIimNllhJGeiEkiUrmbPtLwCQkbCUkgMfJrhGDKU6UFg1ihXha0eKU6XyysAacitYCcOHNeHaLSyogo8T6L0cnAp/7PqfIbdQOnhuXpMaw3ZmOCgdK+f5u7f+7fvzpW9gUFzHmqzPMN1lDIrr3XNVHwMYi6rDmuxVAU+Pt448u8Yw2wPCIA6Q2FA6kZoBjSSM7B65DrniL3PT3KKWigv+IsdyTEqKjVRlJw0ez5E5xFF3fUolgfrl4or4WLcxajg0+2z5nbBKTsJcltRSgYY21M28y/CKBPk9Lwbva9JkhPNlxwIIQUxB49aZmXW2J6PIH6Nxi642HAxZMu4ojkfzL53zN/36uDj9BGN7safGnQNOlEmYrFuQabO/bb1vj7eHj+/8IRJZT/NGOmWsIwqTcOhKKlORkGDUsO2nNLG/uCI7zLRimqZorSw1iQvvCQfmZrcwbyXFa43DdvRmrzVWckp3HGq03byzWPO+Ciw4EULAGphw3ULHifpAf+Jv7ShFptu3/dtE72DZyOpJ17dA09y+G1/n20aeXesX/M4B13Z+O6kZourIJdTzGixWU1bieGr3d/G1Wz9+n1v5MOLBsyw6z0zvVeCvxLpeA/wNVf0JEfmDAKr6o8DfB74P+A1gAfzL59iec4FIgsTMbjvh89qgWiOSYk2xpv1h2OERjBoqqbqAF8LgkWqOF0+tK6ykrCRkf8e6h+IpGJP5MEFYiSdlQCUlW7rFTOYkscOvpcbRME1SMmOovMc0hqM6BCdpfO35hWUrhUkK+BD4unZciTSz3ECjSiKBi26EQJlODF5DoGxF+Od2/xQr3zA0KYkRGq8stcGpZyZh4ptqio8rs//d7T97138L1VdnnHq8fbQiM2vPaeJExeJ902dm7io8w/QiXuvg6Z09gqqj9KHOzUqKIcWS4FG+I73KC+UCxQdqssZsrIag1IiJbBBLQ0nJgkLDpGDIFlYTSlkx1i3GfkotFWMf+pNM80hhD/1KYgfkyRZlcwy0i3w+ZqXXwmY2ZnVX/hBrC6SlaUdxv/Z6SZMxzq3w2pAmY7w2JCbF+5rJ6INdYG1MgpW8o1BK1Ls3pF3/+ev7f+Ncfo1Ke6Gd84KRBK+hvw46GOt+RB8wcZR3KiY6ZqklKp4VJWMdUdOw8IIVw1KOuOCv4lFSEgox7BGytBOT44HtNCNtLHhw6iil4lgOOuZZIgWGlJUGdeZGQ9bVSoLGYNRKQkX7u65/51bQqnW/aANbQU4EvGG7mOGNJV/I6WtkY3+xnegfWNL0Yve3keTEPgEn23VeganX6lyO+25HIjkmlhoqLsytI2uhHft6nANay6IHCOep3vx54LvPeP1HN54r8IfPqw33Aj7SO5WTP7wxeRfwFsk2hY65ope4Vgy4WVYc+iVjtjg2h6xkhtO6y8ZYSTFqQMLN7LRmoCMyzamlJsGy5/eCAqtYahy1VBgtsFgGmlPKKmRuE6H2cFQ5NAaoqooiLBvPKDE8N1cuDwwXE0/pBQVSaTO+IRAWgXkDpVPmrsbUkBmDkfC+IQyibT2WCORYHMICodCCtBWqUM+nt/91BIPDMTOzLhhuBXVKWeFj3c8xr1DHWiFVT+VnVM2cxq+6SfR6gOtxt7H5vXYLOzSxFq+foN5NJHbI7dU32S6ewEpKQo6TmpHdY8AUJAS1iSakYrk+Tli5glvNih2/Sy01K7MkGJ411FKGxTQctYRMrJOGLb/DSAfMZB4+F8tAJ1HlOUwanDi8eLZ5hDKZxUmFQa3vhLbaANdKjrEh6yPYLmgPWeIoVqMeYxKMpFgTrpm2sk/Vg6yFAL0PlGhMGtQhJYiUJNgu4DViOw2ED+7+ILWUOK1PfJ9tXVcLo+ZEf+3FU+mCUmfdZD2TAUZS0ihO2OPuI1jd+I1FtLYP8d37Pd4+jmTWXeuNNCwpGeuQLZsxSizj5jt4kdtYtdQ0pGRYEawIPgaQpffU6jAIjrB4PWSLRhrSKJ7ncd0CVDtnMZKSWkPtVpTNccfqCOKfm1RmQqDSsSQ9GrO5gg3OGBvXR5i9xAlKR5HevF48qHSOGnDWGLXWH9gMxNvrbpOJcPLaDO1q+6lNtP1K2N6dCLpPBto97jYSwgKtoyaTIVbTbvwrtRdG67FGP7K8DeTZ1eDH2w7UGx1nascYSUhMgarjsr/I5axg0Ti8Krt2GFRYSfDqcASF5qm/QKFjhrpFoSNyHWKwZJozIGegBaIGiyWXBIOQRDujUlYMJWXXDhn6EZX3HFWhFiY1YSBzqvgYxKYmBMTHtceKIgJJDFrrOAC1IleZCW/Ma8/IpnEb7ej8jXqcepwqjVdUoVZPrUFFNhXLQBKmNiMVi8WGWkWEVDMSTUg06TyKJX47JgqDAThtqP2yG4Ta1702se4xCOzsbj1z3j/9uxLeNye/a0lI7ABrMkaDp+538x54TEYfJE+2uD74zV3fAGDidb7kEB+zG7tsMzQJt0rP0jUMJY1OvI6aII5Xxzq8YczsbjJLEiyZpKSkKJ4G19UEh4C3oZQVeQwqE8kpzCRO9lxUb85DABuVpAszCc9NHjK+Jo91fAZrchI76Gr+utdtQZqE9gW2jOveV9bBNYT7v9FVt0AWVvNj+6UOC2Cb5yg5Rk2n6JlqjiWN32zeUbyT2P42f+zxXfAO8KHdH7q7P3SP0Jf4Jma+wmJIuCYSwrTEkGfX7nMrH2x8YuePMJdDmngvJ5HVUcb74aCqeMkdsZQlThxbJixMH7uKUWrITeh5Gq9YMVgxGISclEIHDHRASk6mg7AAxSCI7sUyrE1hu5YxkiWtlczJQBZa+vJmINlmbtcZXFTDcUVO1QQHBHUScyLgDUtr4bFm5J1cbBExG9egObHosn4tObnPiYz16cV32/2tWnfjJtAJ//W4e/DUNJRUfsbKBzXyXIuOjQBwdft77mMLH2KovzuPe4R++eltIXSUTT3HmLxb5WuDARFD3cyxkmLF8FwZ1VQlC0Gh1CzkiKFOAbAkDHVIpoGqUUdxmjAhDYOOVxsGHrEsY6atpsEQanIeGeUc156xH3ChSFk5z1YqTDLLy0uHRSisMEgMjVcWjXJpYKm8sJU4Hh+WfHuR8/xyPaBYgWUTAtmd3FJ75bByrFzIHjcaV19FmPmKsckwCEe6QMVTaEEkgVOr3yAUKRaL1SCq007u642BbyWzKMSznhBvDlSblNu21hRgd+uZbuLdTpw9nsPZpo5ajzcC75tOaKYVJEpMTmpHeG2o1JOYlN2tZ7h1/Ln729gHGF5rrqTfzWX/CDOzj2CpdYGRlIFMcdQcuueDPoBXVr7h2/MGQXBxUriSBSlhwPd4Cj8gI8ExIiUEsI6mC3JTTZnqDk4a5rrCSbjHagKDZYsRR9zusquNlkjMXIjYjo0SdAkciclpfIk1OXhI0wLvg9cwrDMpJk5G0mRAE9WhRQxeGzI7ivf7mr1hJQ32J8ag4jFiu7pCwZBqTi0lBWNqShTHzN8gkYKccZfhBYLtW6RwurifEMS52j5IxGLiPHvJEY/vfi+qjsJMWfiDrk2WpK/5fUvYKAmKGf7UDoMvta86VkCPt45cMzxTJjrmq+bzbMsjNJSsJOFisc2tUnjBB6aHQUjFUKunMAnOB1bYwjkyY3CqlOqwWFKxGBVqNTS40OdoTkLOjH0GdodGV6QyYFkvu/G39RqvN+r8OxVn1Q26sulozyGj2xCyt6cFc+6UvU3ZDGpPswYU35Vvbe73WlBdl01tzjlOs/zW77lXbdv+7/wqWr+Feva2RKgt/+h97988Sp2dCHArqdjze1ifMOdm9/ojO5/mhYOfufcNfGjR1/S+q7AWdUlPvG5toDVvZ4+zSo74LvktLLQkJeFCOiIxwu2qxqpl6i902RSDMJacpTbkkuDJQ/YURyYpCUIiCQ3Kka5ISagJYjU7fodjOWZ/NWThG67kBXuFINiY5YXGW8YpZEY4qBSMMElhNwt1u7lRLo/m3KpSUmNZOciMUliY1ZHq7BUXadKpGBxKo2GF1QAlFaWvMBgqKUlJSU7UakGz1rjG04RJbMyw1FKFCW8kaDqtqXURvUojDUoMxqRB4DFOvFu0A9y6vjrQLJ02OF+yM/4ItQ91eq3g1XT84T4Yfg1srtifXr1XHDZm2IE+8H0b2Mqu8h3mPWzlll9f1VEVtQwlDLrCRJuiqb/ATBaMdYgVQy6GVaybLXRIqikZCSgxm2vwqjTqqCUcN9ecGkdKghXDSoWlrFjJgpXM2PaX2JfnuUWG4pnIFZaEmr1AZw593sDskEgeKGQCOTliWm2BBVZSKmY413TXiWBxvuwytsak3WJVe30lpyaDtV9u2JyAV0dKjqM+odDZPk9lSCIFTtcZ4G5f8TQaFgrbgDm0cxHrwSwas+YQaNWNrlD1NFFvQdWh6ljojIvTT2Ak5eXb/wiAC5OPc/Pol+7y1fHwobU8C4EJNH7VvdcGAKPBU70P9FuER9ljyoqq8+e2pGzpFkeVY+kaFuaIK+5RLJaZr7mY5VwoLK8sHU6V3BgyK9ReoUkj8VhY+IZGDbVUYbFJR939nDLAUVO6o64tiSmo3XLNipM0BJIxkFU00JtP+VWtRa9OvncymG2FrdrW+VPHOBn4tgstbfI4HPbN1ZOfnme0gfQalnXge3J+eIIa7dfHaY81GjxF4xadkFt/D7w+VH1wQpFggaV4Ds0hJUtShh3FWbBc3f4eXrz9s/e5xT3uF/qgt0ePHj169OjRo0ePHj16vDH0lkXvHgyK64G25+ewUXcaRFgqLuUfYKATrsh7sAiXkzHbucVG4SenKa4eYoMyDdq6Z4phIjmjxHKzDrSgLVMw8xWJJLFmRTkwNxnoiEvsUJiEma9JSTl2IeNzWDVcH+dcGXgMITubxsyuqjJroJCQsRVRUHhplXBxNuJWZUkFDp0wTJTCKJkVFm59jWc2rLo6pxTWdjW8A82xYpjpMviA+oRUWmq2Roqzw+E6lemQixIcnkSToGDNWuXQEnxHN+v9EsnwMTu8CUPI6raru5aTK7Jtltf7plOIdb5kPHy6qzfctEuZjD5I1RyzKp+9exfPAwavDakZBRGljRXzNvu++Vrjq35l+i1gUFzHSMKLHPEtF+i5TsP1WvslF9L3UuuKwkwpdYXRINBkkci6sBgtIPrsepRULLlYRGDoc/Y5xElDrgULM8f4MRZLqSHremwOmPo9pn6HmTmO2c+qo40pjsyMA8VZDIKNqpm2ExKBIAQlWNQ4Eik6oavGL0/U9Bpd/2/t4EQmN9TTNlH0Ksdr3VmbdDRlqTHYrmYXwLH2M/dAwRiraVcfDaG2t6Uxh6rgAcYbFhL0BIwaaik7xkmjZdefCDbkcCQomGcyYKU1tZvxyM6ngeBp3PYtVRNsW9r+Y3frGSo3f1fbqiVJsOTaFPdpM12bGTSV8FpvX/Tm8czuD5NKxkAzvmG+HAQyYw37y+YFrsp7ScVyzV0nIfh8T03OtZFlYIVlY5jVnsxK59CQ2XDXOFVGkmCdMNOMgQ44kts4aUjIqTXQl1v9DRsVnF0sY3Axo684ELlzZlXdqb81llGZE1neQIXeKJrSyAA7pcgcrq91SUSrTcGpOUJ7Hb4VgcaT13B4bdO9o+O4ddttPo/lXU3ISg6K60FfwVcU+WMktujatDm+bg3fz/HiK2+6rQ8LLkw+juJIzBBLsMCqTclCD7ttDIYGj/OLVwmQ9Xg76OnN7xq01DtrBji/3Oh0HVvFo1S6YKEHZDLggn6EC4OEZeOxNoSttfcUxrKdJcxrz8I15GLITFvDJkH0yQRq0cKHIPNYV4EGzZQLTEi6GrmgkCwiXf3s0ik7qaewnlljuJgrzy4TBlZ5cizcWAnzRjF1oD+/f2vJdl5xXYVXyoxZY5mkoYsQhFGirFywI4JACxolYRCpfBCsIgawlSbUmpDEQcmrUqmjwbOSVUdgbu1VNIpXtR2SJcGSUEseKeQ2eAC6Bo2CFOG8Twa+IeBta39d0MtQHyfN6wHJmKSrNVoPUi5QOUcfRNXhNfzG7+aAFyC1of6xrclq8apapY26zT7wfXPwvqLIpnxotMs35wu+HZWEvdYUyTYLPaD0M6wkTLnAQHMysdR4EjWhPl4MhbFU3tGgFMYytJaVC3X0Yx2RqGFJxVIWLGXFXA5JCEHg1O9FcmBQfm6VkSFM2AZMQ9As40iVTFj6A0xUma510U0qLTCQHVIpgnVEsuxqYbv7V9Y1b+1rrTiWqkONw0hCbsadZVMIOoN4ldMalUA5bt9rxatay4og+Zcw9lsYAoU7IVnTnQUaGkwMpq0GCbFmI5BWXOhj1NNIiaqj0mVcYAvbJSbUJm9Sdr2vw6RawuKZj1Trd3PA2yLUhLfTj01hofZvs6ElYPrA901iX7+Fo+aa/RR7+ij7PNe5Q1zTq506c4IhFcO2HfPouNVtgFntQz2vTSidj4rOsHKeY1ez0JI9M+KiTrmtC2oT+qtNBfTMjqjcnMYt4xjcnKqNTdHWzowoTKVRcErkpHjVZo1vnFO8GusgV9XFY54MaMF1dOM1zfhkcHxy+9MUak69fnLecloAK5zbScEr7a71tXrJaes/weB9xWZA3n6HRhK2hu8PJV7wrg54W5joFz0021ELY0WlszCWdAuXDhevz4vTT/DK4S/c51b3uB/og963iLaeV19VQ+qZlS+RmgGNlhhjqPEUFuY1rFxQPE5ESCSsotZx3ye2Mr5wOCMXy/WtAYW1/MZRw7GrmdqchW84MkfkWjDQnGNWFGSoV3bTnMMGag060EaF7Syn9EG5OTfK9dECKwOG1vPsMmOSwsUcXlgqaSLs5BWPXjgkOxjz8ipjK43WRUBuwYiwcsowka6u1wg0HpzGuh9ilomEkQ5ISVCUBmUmC+o4maykYqBDrFpUfByALU08AhAFacLA1E56jSQ0/lSGUVtRlBjs4jsF2cYtu21PCFCc8utrP0fiSmH7m/aBG51AURBp26hPkpMr2waDj7VSXnu/5DcDawo+kf6zNB5KapKYHandnGV9i0n2KCOzx9zv05iGvWgDdNgsY2WqREaFUKunwXN1OGTZeL5dzXjvYIqVgm8u5izMnJGOmMucGfsk5GQypGJJxoBaSnb8BY7MIYqnlhKjIQuKwoSL3ULTXA6wkm7UTBmSKJi1xR65L0g15WX7LJmEPrGJdfatcJSXcO86yo3XIJNx9/0Ez+GcJC6ChSWzOvSxceFLaRjrHg0laQzk2wDYxIXAVFOcBIs3GxXjm1gHvCmEArFPUBdej3Nsp0Fl38cJa7f4ZtYT6bYeuda6E+Vq+6HZsg94W6g2G2rNwIkAJPxvJEGM6bKDPd4YPJ7rfCepGCZui9pcYup3uGlf4gb7lOWUlQTLvwlDtvNoJ+hhfxWcHIY2+nObMIcYJYZvzxu+ab6O4vnw4Dt5du6ZmWNSzalk2S2CtawN50vqZhZ8uF2F1xJrBjRRQAsRBMHaCd6XIDbWy58cP9oAOAS+be2urN87w7tXMUj0/z2Z8a278luvvCqreyJIjfMGv+E13n7DZ2FzPDzhO83J4wdNjLMD7VYvw0i2/jvOcRJThASALxG1Hdvq3YzW7zuzo4456OM8s/1+WrYOhO+5aq+/Hm8ffab33QEjSacM7GmQGAAkdotxfqXLYjZa8pK5wdPuCSqvqCrj1OI0ZExL56m8o1ZP6ZShSSmM5eVFoBbdritWWoEPVMZEE3LNmJoBjXrmWnI5HeGVLtuzZZKwkqvBcmjWGOaNMLQF07Rh4SyvlEIq8IGtFf/D99ziZ569wqxO+dILFzmsE27XhsqHoUIkCFoJkMZ+2quQ2+Dbe+x8FLhSnPowiImhiRmo25Hu5EWDRROeXAtyzbBYam0QfBDfkaDc2UhDq87aTjJPZxRbimIb8G4GWt7XYWKsTTf4bCokthYK7YBSN4tuoL1TRmFr+P5un3eT8FVqg1+pNXnnwQjgNhYHWiEr71ol3L5reTP4Z4Y/yNVhylHlgyVIVGse55dCoEjJNpdxpuaIV6j8ZSZpQulKJhQhXFBl5RxzggrzvB5xowwr2y+tSizCoRxRErKUbcZzwISakrFOOZCXuaDXKKXEEfzBd/wuMxNV1MWR+4KlLBjokIt6gX1zK2ZMg1VJpoPu3q0lZJW9BoGowkyZ+5sUMiGVYRCpI2R9C5kGNkd8WDMgkaKjNUMITI3Y2M9YElp7IouP1+NQt0JphSYkrFXog6Be6Jdmchh9kJO1oFbsJxwNuQ5ZcbTOXMdZsqPu+h/gBHVzM1OzrA9o3DGV5Azyi2cunj21+7soCIH9F2/9tbd+8TxgaO1fTi9ErrO8G5P/blEhuz+NfUDxAf0nAvPDGnZ1yDKymoINYs5N8wq5FhQMWGnFb8wbrmZDXqlWIfObBr/eOgpXNo2ncsoNPWSqFxhowVdmM26Yl1gxi4yOYFNkMDRxvE7NAE18Z9ljTTuWDGIp2KmGb9gJ3Qmt8BlRcC7ymTmRjY1q0CHwjcJV7XwhBrAhGG7i7gmdzVB7/XHSkzcsiN+5bS3Lo4U/pfjcHrM91llox8322m+TKwikyYjEZDS+OrM/ubr9Pd2i9PMHP/0a3+DDhTb7LVgKmYQXFUSabpES2u80Mor6+cndgYL0Qe/Dj2HxZOgY/XrC732FSEKeTqn9ktxOUAkTvUwzVi4EvMOWDuyUhWs6erJHeXZekohh4RrmTtnJMrbTjGVjqdWRGsOjXOCmm3d2RVumYCe3vLJqcOrJxTJKLJPMcnMFw0QYWKhV+MJRxl6mrLywaIQrA8Wp8O2DCY8OS55fZtwobQyWQ5Z3oWE1tQuga0/jg3dfkQiNh8p5Su+o1CEi5NH6oCSoOLeZXKs2UAKlIdesU5ZVEpbtoKiBDujxLOR4XSutvqvH7bLqMfvS0pI34Tra1Hr/zXrAzUGnpTnfKdidjj9M3czjoJ1hTmWEHlaMh0/jfMUg3VmrrBpDKsOYYUs7upCqx2mDiI1BS5/pfaPYGX+Eq9l3spw/xpZNuS2hnnakOwz9mBvyzUAfjnXuEy4y8xW2EcY6YkmDQVjQYAn32EqWfHN1RCkVA3IOmZFqSsGAlLRjXEy5QkNJrQuOTAgqBz7nFXMDJw1NcD9kz+/wsnmFRkv22GLmM0oJ9mQzLahYhomZ5uQMKFniqPHiQ82thvpaj6eQaNEmKY4UaanK6rqV+URCMKkaqMWJFNR+QSNlp5JqJaX187aaUMmSsdsiwVJTYzVZZ8Gj0n3IRIcJ6kpCdjrRNPr3hgDY43DSkOqgUyj3cTJPrBf0kdpsMCSSs5K666Oq5hjvK5rm9pm/9+O738vSHYRFUbvDIH4fDzuK/DG8rzo/9dbeD1kHCOva3qSr64VA/+zxxvCh3R9iICMsCVsu5ZZbkJKykiUTP2EpK4Y67u6LQQwAnCqpGAY2Yd44GvVcGeRYga/OZyxkyUJmTP0OC1lQScXU75KbASudU0tJLmNKnVH7YFXktCGxA8r68MSYm9hhGKMNODfDuRnG5OF37upxz8arqM2nFJ/b2t9Ai1Y00qYl1vuesEmKx1OtEJPFANhgJEM7bZDkJIX5DgFrOOSrLZLa10NT19ovJ45zwoEi6c5fCLaYRtI7LrTvTT7Kqg71q0U6JbeTO7bvYcJ7dn+Aud8HIDXDjkk0Yoc5B1gSGlY4bbpxpS2ZaHz1Wofu8YahZ1iJvbPRB71vEqPBU8C6HmS9Gh2DV40TPJmgeEbssGTOrHbMmgYrgtMQ8B7qkktmTK3gcLzMEUM/jMQdw0SzUPtrDQWGJl5cEym4VOQcVaHzzoxQWMNjaaA83liVZKZgrsqkshwiJAaen3uOCxMpQnBcw60qYZg4Pnd7wH4Z6mYyE2jLtaejLwO8uPAsm1Dr066OqsbB0hgq56jVxfzRuhe3mpDG1wSD0fV7jpAdbq2XDCYGviWp5qxkFrLmYrCSvKpmt83EtAhUpLURfLtyuh507Infqd1mXt6ZxtwGvKkdYSXhYPb5N37BPMAQDKkd0fiK1BZ4ran9squxhnaCkHYLErWbs1x96342+4HCzvgjWJMz1C0OmVE3AxKxwUaHhFRTGsLCwm0WZDJmJXNKRtxwVbeIVFNTScVFf4FSSkqW3DTfZkpgnaxkwZZOceKwasnIcTgaaTpKc2BGOJYSBfT8DgbDS/J1DE/hCDWpHigk47bcptEJjiBgk2jOIApsIXCbl0FDAGsi7d1oyCyviOUKGCot8VqTmDFprN3v6JHUMaOb46TuJoqtgJbRIEXlcVHwzkXqc6BBhlxvW2ds8fGmLxhR6jIE9hL6gk2xK48jlSJUN2uJ0tBoHenVlhWH4XwkjTXIHufLrn6xql++428+b26g6hmnV8hkyK/t//W7dj2902E2dAFO+52Gcol1tk7E0LgFdf3K/WruA4fv3P39DHREGanLR82IBh8XfRI8SikrJn6KxzM2GQYhMcLKeWr1eNewzyG55jxhC37teMZM5izkmIGOuGGfD+Oh5swMZJrhTVi4cjSkMqTkiCyZUDVHYVyXhCQtcL6icQssoUTMxHvO+2WXgT1R98tGbW/3ooTAVtypCXdb3rR+raVDg+lo0Ova4CikFWcm6teBr9M1nd6wXpTZzASH9p3M4Ib2nw7Y3VocC7Px3K+pzhtCbuHvtv3hWJvimqexqPbxvmKYXSQz43eND63iGJk9lhyE+ZwMmPt9nKljHe+K2i8pm2MSs6aKl81xr6vwLkYf9L5JNG617qSi+FLb8bUUz0G6S0PJDo9gMKSacdBUqCqltzhVnpcbtP1uGsPEqU6oadgyBakYlo1jEDPDR3XFdppxWNcstaH2GbV63rOV03hYNp7b3pEby3aaUSRB1fV2FehJzoeh4KBSnFf2CriYK9tZw68fD1ACVbn24BPd8PYNsWHtlcopKxdWSz3KvHFU3uM1CGJkYim1pol5k7EMqDeysO33ZLE4HFVcfatocBIGrJq6C3y9+I6yaCRFjEG0pN6o323FYWBTFGejrudVHn0u+ILqWvBiE4Piehe0XZh8nFVzu6v/bSkxr+fDmSTb4SxNQVk9/4auq3cStobvp/Fh0pQmoxM08srNSWK222wIgrTb9AHvm0PZHPNdg3+KpSwpfMgsihoyGTDxk3iv1KQyZMQOgqGm5NgcUktJFrORR9wICsqmpepahrLDQg9ZmRmWlJVZkmuOimcmx2z5KU5qVlKy8ockknNFn2QuIWtzW5Z4dYzYwWqClZRdvdp5jmdkHOgcK4EkPPZjctJOKKshiodQk5B3WVkIWV9HQ0Xw8jXxH3ESGALNloqWYiWlYII5vcjV9b+OTAddra7iQ60wnkKLLuML4DHkmkcK9HpRoWLZZabXitXB/7HRFbJBlRZs1+5229ovyeyIZoM6t6ms+qHdH+KYVxAsXhuGskOqOR/f+UP80sFfvOM10jIutovrD6S/ZHA6CAFNS1PeVLJtJ/6JGdCwREm6frsPeN8cbuvzXOFpPI6pn9IQyiUAUk1JMKxkxkCGvC+7gDXw7HJBrpZaPXNW1NTclG+TmiG/PKtZmBm5FjziH+Fl80pckAvXfq5FqK7X1YnSFys5qo7GlyQm7xajjSRkyaQbk52v4v1rEJOAmhCYtpn/0wEvGwvYG2+dtR2cygrHgHdz+3CMIJwFBu3ELddsLr8hnBkW+9cK9B3t+Y6Z6c19PUSGTZtRXrfTdNle1aa7T0xkPLR4cvf7+catn+j+3hl/JLIggq5BoyVP7f4uvnbrx+/QHsiza7Q18w/i/OQDe7+PI/9iKCeUnNSEhVZPECxtNJTZWFKW7hY2llK06APeu4ye3vxw43QdUvtaG/C2dR8jQpakoaGRhh3dwoph6UJnvqM7OBylVKSRhgcwMzMumzGpEV6sFlhXMIvCTYd1zS2OsSQc1Q1elWUTgtqVbxAk1N9aYdUoRsAKVF6ZR/uBUWKofcjiLp3wleOYhQESE7pCBUZJCIBBqD0c1UG5EYKAVRIz1gCpaQWl1t9TIganrVW8weGwrGk9TVyVXdOfQ+BUS9W9DuAJ9X0mHmP9nVvWFkY2sCzamppO9PGkCT2cFJRo23K8+ArD4kkAimTaqTe3v2c7GFVuHibkcWCEMKELglkL1gNc+yjI0sthdfEdrDza2jVZWdc3JqaIapu+U8A0JgHfREp/GPhb0RJjk47q3OON48Lw/dRas5I5GJj4CQbDFb3Iiop9s0/BNGQY9eQkyahhzgFGLBlDvDpWMjsRXFY6o/ElU3uNhRyTasZCZpSyYGEOqXQWqcWhxn0mx9RS0mhJJkMQSDSnlppMMxIsBuEl8yI5sS4vliVYLLflmFJWOOou4PXqGckOZsPazbC5WGJAEkwUILGkqHhcvKe7mluxJ8Sm2ixvphmQ0UhDqmGy2N7lDY6aBqKOvEcDzVkNAwbU1DgJn9lQnrA/8ji8OhoNFDmDD0RyCbWEIq2AVlCZNpJiTMLx7POMBk8hYhikuzyy82mcNmQyoPQznC8xJmG/+TqpGTCQHd6393v49f2/wdXt76HRkkV1E+J31LgFIkmglk8+SuOrd7SmQMuGgnWGzJgslABtBAitAI3iKZIpThusyVA8LtKge7w5JBLKIJw0zMwxud/D4UhJSEl42byAwXKBCYNE+Op8xqE55HG5xNI1DMhZyJwtLuG0DqUVEmzQZqTMOaChZI9Hu888NDdR9YHWrAtaleFNkaXNxecgMrleDD8RMHaZ/zMyvBsIysxdlHjH7RQlODKeTY8/Efy2IliqkUUWWWKYrl1hLHSAXQezG8yEkzhludR+ZqxJVuVV85PT2yHBnmhn/BEaX7KdP949d77q7q80GVLWh4Fpknoe2fl0l/Hdm3w0ZoMbvFao1rH9Nda2YoEG547Obsg7AJ/c+aMMdcANcwNLwrZc45CXooXfDEsSWAZRQBaCeJVnXb9b2B1qv7ifp/HwQemD3ocZrZemiAnztBjgWpOdGKC3ksvd5K6hpJEaq1cwrVpz7CTbwG8oKZU6jmSOx/Nic8yeGTGQhENXsqRkQE5uLFdlm9I7Sg1U4ucW2qm1Xs6G7FcrclOQW+moyLkxVD6s7BU2UJZ/46hiL8+4XcFWCisnGFEGNgw2XoNoVd3ArdJzVIXpXWYNqQQ61NJ56njB58YgiaWuPCmmoxE63KueexqqSKHMNE7mxbGUBY6aWtbBk9Omm/R2QVhECHzXA89pWtFmDW+7KAExoDZpJ3Y1Hj7dbRNWpNfZ4xO0pm7gC4FiS0kKj3aAD99zEOw4u77nnYDp+MO0nsYQM+btuUur2hm+I2MLBBuVVMOEf3NC47XG++ZdQ/u+W7gw+TgfMJ/q6kjncptEAsPhqtnCu3DfhIyiDXeO1JFGGLKnjWyqdzoqXTCQaahL1fBbNr6M9a2WQ7PPUg9pfEkhEwoTxKNKZqzcIY1Z0biS3IzZ1ascyMu0xmNLqaKYlVLJ8oSl0cvydQb6QeYSMtCpBtGzkOG1MasaqJASKdlAN6FuRf/abGrKINTKckghkxO1u60NEUCiSVTrVETNCd2Atm45iHI1FNHDGEIfUMf+twucBUpdkEpBrauQqcavSypikNuqxUNb3xuy0Wn00dwZfySUY0T7pcrNMZJQsaR0x+GewgMVjVtSmbCYdmn6Sbw2kSYdJmdhgSljnF9BCH7HYk5mu98J2Bq+/0Tw0orLtBAMNi6ktYvEbYYXWqu5aGTnm1CiIg/WZOp+44O7P8iUK6SaMZfbzFmRS1BPH0mOIHjxZDpgriVfmzccmAPmcpuF32UgCQfMGPstFmYeFtDUnlhMyxlS6Yzb8jJ7eo1aKpzWrPSQQqYkssOKI5y/3QVmVTMjTYbBei0u5iQmp3Lzrla7G18lZHrFFLChuNvibKui1w6SXyt4PrGN6onjqzaRSt0Gr2bj+avH9rNi71ah/LS936vaL61eQMx6x8Whxq1iZhayZMy8eQWnDbVbbByzoW5mOF+h2rAEFtVNLkw+DsCqPsS5VViI8AuCWvbWqdz02QH6/cJHd3+EhRyz1EMsKRd5DIcLHvNyTMEIK49x2z8fWIBtEYsUOJ1R+wVemy7LayWn9gtuHP7c/T61HvcZfdD7JmFMUG1u3LIb2BVPnmxRNkF4aeWPGJsLlCxppA5y/upiMAgLLTEI2zJkpiW1eG7LMQbDQKO6oQhLDWrMRqPlhirHvmI7yclssBG4XTXgYa4ral9QUrNwKZPM8KXVPlPGqIafeZJZlo3n8tBS2Iw4p+a4BggZ49orVwYhE1N6cAq3K8+1oWW/lM6vr/Yhi2zt2ifYo4xNSq2elW+6YNcgNLGLDeI4kZosnpqaXPMus9tmqJzWHT0Swgp2xWxdDxMpzqrBumTz9c1A97QAimwEeps2I8aG563Awekg+oSdQFzJDq834TqIlj5toN2qk4Z2NmTpZRI7xGtzX3x/p+MPd99ZYsL3ndgBTX2780V1vox00lj3HBcFjKQhgJGcSpeoOmo374IBEfuaNUc9zsZOep3vGu7w3Lxipscc8hILOWaqu3zRf41LeoWX9dfJzZgxe8EyKELxLOWIVPMuyCwYs5SjrvZ2xA7KlMTmjHXKTA4p9ZhaFzhtqJh1QaaVlMJeYaVHJCbHUVPKipolJUumOmUpS17kqxQyCfRpP2JmjgEYyg7LWEfo1VFLsNRIJCfXIXWXRV0HnoIhjTRj3wagkuK07uppx3IpCE1pUAVISGKG9+TQZdViREhi3a6o6ZgLbd9Sd4ZongE5K5ZUUp3w7dVI1WwoWfmj7vpOTN4JuLXweBIMC7d/wgdc1ZPZUecdqTgUQ93MA4k70j0bX+HwNE3ZWVQtqn28VhjJsLH+NYs+2a1IHATf3/Da/VGSbxkuAIktwqJEW+4QGS/tIuVZGdugFzDo+tt2PG1p0O9kZsw7FYLhQ+k1juqGUlfM2KeWioEWOJRaHYfueTIzZiCBEpprgWGXY+Y0OHLNuWTHfEVvMtQJCwnZv0SD0nmmGYnkZJqxw4QXealb7Ch1RqMlhZmQ2EGYK8ku8+pG18YgYOawdoTVJtCbNVgCdbW26sLM4U4Z3DZN2r7fpU3fPjYD5NAWXbdLNinO7Zxg097I0maBA4Ig15mL8ZJ2TIdwTN8FvHB6gT98TuNXNH7V3SPtNqeZh2HBzDCvbmBN1i2ghc9OO3q2NdnG51UkyTYi6X0pKfjO3d9PLSW1rhgyJdeCqe4xlC0WckzuM+ay5MjcYqivFupSXNR+sDSyYuWCZkTtlohY9uefvden9C6BBpXbBwh90NujR48ePXr06NGjR48ePd4Yenrzw4tBcT3SmFNSM8D7Na1QMCRmiCTBNLz2S7xxJ2i6SyoaTcglUAWnZkBmDIUmrHzDQItOcEJivWxrJWAQLMKlIudmWVFYw3PlnKkN2YGRTVk2GXPXsJQVt51w3QZVxhTDUhsGklB7JbOCC25LPDdXLhaG0gc159oHMaujOtTsHlTBe/fJLYsV4ZIxzOuwb1BsDnTtxiteNPxPUGNuNqlusTLPYBA1qNQnslZOmo2MjCHXIaUsqPysq5lzcSVPxHf1NW029mT29071NZv2Ra6jRr/aK/K08MRJeN90x97MIm9S9U56Sq7FWpxfcT+wmRVat8pTNiFLl9qQfVvVh4ESRE5iso5y2LglaTpAJNBKm1PiX32W983j4vQT/L7pP8txrVwoUp5dJYzYYUt38ChzDvia3EC9o/Qzxmavy4YasZSxdq71xU3JybVg4qfcMkHUauy3qKREZA8Xs5xtZtdgyGRMQ7AZCcJRUTSKwDZZyQzn6yh8k6B+yr4YrKQ0WpJgO7XmTDNKWXV1vjVlZFXUeFynxH4kNRO/S6pZV88v6gLzgLSj+BkNtfRWE3IGIauqSado3fYXLcMkMGEMrQ0LQKl197fDMZdld+4zguVKWzNs8F09bxCuKjsrs1RSkuhDioRaMRGDxXQMCDEDGl8iYqn8EcHCq+xYJarzrh/YREv3rdw8fLYL1iNiDBKp3x4f9BAiGyPQG+frUpt7jCJ/rOs3N89DfdVlpo1JWVUHgEfFhFpd9RiSrmY3S0aImI5h4qNewGspX/c4Gx/Z/Vf4sH2S1AjXhhkHsymJSboa93qjz651QSlhLKopScnjPWS6OchYpxikozo3NOSak2tGFcsajmXOUMd4cag4ctni2N9gIFNWcsSyvkWRWIp02rEANtkP7TWcpkMqMTTumFjtD3gQi+gpRebWj3ej/nYj9XpXv9NXqUC3fwobcxAXs8CmK3FqPYTDc3MqYwstfXmTxny6X1hrg5huX+8rXHRJWGeTT9ZLe23iXITuftoU9xRJSewQ3WCqtcfYFNq6l3jP7g9QMKbQERkDRjqiwXViiDv+ApeTMV/0L9NoSU3ZKfaPzAXm/mYQbIvjWe2X3fee2gG3jj93z8+pxzsXfdD7BjAsngzqvSYEA0HExHY1j14bquaIItkmtxP25DqOuqPqDnTUDSalBtqvV2XlgvdurcFSYJJkNF6xIix8w5ZNWXmHAS4VOYpyZZAhwKTOUYWZr9hNCvbNPrkWjHXE5WzIYeV5PNlhmFieWy5Y0rAsG54YDjiulcOqYeEbMjNgmoU6ltTAViqdtsKtlQvBbtFSIGGcwkEZgmFByG0Ya1bOY030xBRLEyeitTqaqMjcQqIkjKMBCYI0AKlmkU4bKJKlpPiNup5N+yEvIHo6YD3bRD5MyDyJCZYJgYJ8tkF8G0i3yoybA8rp7VtrgTOPs/H5od33TynRa91NOlohrtbHOE0CDbOdeLbnktoxA8lZ1K+Q2EHwW5QQNLk46UdhK796X87pQcb13e9jYHd4flEztJbKe3b8NkNzESTc05XOEDHkZkwm4+A7GCm+ig+et1Fp2IvDqCXVNC6QBWXVLAYYnqBkPPW7LM0RaRSoaghiVU5rRuww4ya1X2DNhJl7hcJMKGTCJX2UhVa8ZF9gW69RsiCTIS/Z57jkrmEQjsyKlczIdYglqKM7abp7G6DSBQZDJWMSPEYNQx0zkxDo2dbYTMM5ppqTkpFqFmtyB7QqzK1ufmtHFCbtHovFxvt1oBkiQoJQq8TvJ9TlLsy8C3ItCY00GCyZDKk0TLY2NQFCTW84D8UF0aUN2u5mbXxoT7Awau+z1sc9HMt3GgOtOmtLVQzq8jleGxq3ILGhFtJgqPxsI4j2zFd3tlk7T5zuE71v4nkGT1PsqFswaCftRlISm1G5eUd5bhdggsBOA3iy9N3hMXq3caDPcqPe4xEzxIpwPZ9wVA9ZaE0oFKo5Modc5L1AUCrPCItliSbkmnE1HbNwjpmvu4WlBMPQj3DSsMWIRKQT1DMqsWRgSi4Daq2YyhVKXTAye5CFBSanNcflC2TJFtPsGrP6ZapmjjUZqRkwL18mSydr/QwG8X4I5TWna2274HGT3nwPsLY6Cr1N246Wii34GPyebNKJwDeKU4V5yqkaeNqSqGZjn40F/W77TRr12r6RKBS4XowKQbMxGc6v4iJZgjUZzq8D3k3cyVv8PFHrgswM8Ros5oY64FCOwqKr1jRM8ShlVPq3sR8f6TZLltSxDEcwpAxY6H5cdGzYzh6/5+fzrkOf6X34UKTTrvbIRol0I7MgUtIc4dSSJZNg+cHT1FTBG09zSomrqjrBoyxkiaPh0XRCKsIoFfZXQfgpNYbUwLxpGJoEp8oNPcQgjOqU1Ah7uWHl4EKRsnKep4djvnFc86hepkFJRFg5x1Htwt8mx0o4/korjAw4qhsOXcmRzDiqc3Zyy9KFbG9hQ/b2qFJyGxSYX1x4Hh0JkzTQ92d16NGNQBKzvSsHqooIJCIMNaH2npq29i3W6kYbkUSTLsPrNzr/NiAGyDZq6EJmJe3q2owCJgVPJ3jSGb+fUUNzsg53LUgVShKaExPcNovRBdXtFLt9HXOi5mZzUKvql8nSy2u10linU1bPn7BDuldoVWQ3sVZ8HDFMdoMwUvwOMjui9US2kpLYkPUzGEo/Izdjcjt513gBngc+lX6c58sZiRWmuSE1hmaWM0ljd1yGBZ1ECra4SC0llZ+FBaIYtAkGq4aKBYpjyIRaagYxUNzzO6RiKMhY+BSLpaSK9aXBUzORnELHIXCOTIqr5gMc8gpje7HLbs445ihaii047BSUm2hdNJOQpXRaU8qCXIfkDFjpvBOgWnAYM7MpSzlioBMyMgaa4xjRSNNlcmupWDEn14IiahwMouURELO3gsSZpUbtA20XzzBBNBDFSNAhwMOYEDQvYp/STvgBGmm6GmODoZGSgd3pBLaAztqoRSFTal0ENoq6Tr3c48NiaBRkaqGnavA2+xMg2oQJRvLQ50jCfPk1ru389iDqFSekBsOqfPaEQuu9Qp5dpQ1kNxf72nMy0Uu9Pe+2LrkTlIl6Am3wnpgMb2oWi2/c0/N42FCYKYd6yAeyLQoLrhQyE5a+arXMtKSSJU/4JzjSBU6GeDy1BEXtseTMmoaF1hzLMUOGjGVIKoaZr7hsx6TGYAWyxnLbLfnI9pT/+ui5IC4Xa+iHOqaQETO5zdhcZKkHoMEVIbUjPJ4smUBzdIIZFWrCw+Jwq+DtfUXdlCHYfJVoVDv2tq4ZbbZ1HTC2Cs93Eo96MzhpfaS0Hr9rBAUTiYrM4f5OWAemm+rPceGezfmIi8yOkwv44Y9NjRG7XmwXsw52Oy0Rc0I4q/uOJQM8ZfU8Rf4Y1mSU9SKozpsMQ3ZftEYAUhl2NnNGg0tHoQOOgF29ykgHPOcOsCYlj8wig2GoAwotWNk5K39EYSZBD8IMePH2nS0le9xNbNTWPyA4N26UiDwmIv9QRL4sIl8UkT92xjafFpFDEflcfPzp82rPW8WguE5iBlhJYkBgmcoVtpPHGJk9EjsgsyMKM2FbrqH4YD8COGpyHZISKEYrWeFouCp7FHHCmxnh8jChsOF57YMIlI0d6kRHDHXAwjUMEsNxrVgh0o4Tbiw9uTEstKJWRyqWnSxlL8sxCJVTXpJXOGbO08Mp356vOHY1Vgy3zQ0+U36TpVNuLD03lspRrSydUiTBwig1ggKKkEY3oMKGjHBuI0lHwMbg1yDkxmBF4vRaCUYnr/bXTMlINInURrt+xIC41NmJDHFqhuRmHCZOJuxnTBrV+8yrJmESaXWpHZHa4Smaz8lAuMWmInOL0zTCVt14/Vr4rKp+mSTZC791N4CE91rhl0FxvbNHuhfIky0grAS332X73QyT3UAv1DIEuSYnsQOKZBunDaUPip2ZGZOaIYUJWRg59Vv2eON4397v4RMXLU8OJiRGmNWewsJenrCdC0UiTNKEVIYMZWd9H0RaYFhAWqsmC4YhO6SahUmAZFzQXYYmpTAJuVi2pKCm4dDcQrDdtZDLmFIWMTNs2eYyt3kZExWJndZYDRPZoW6x5XewkgYhLGqu+/dxYA7CBMSPqHTGoXshTHz9gCVBydnjKBh3102njC6eTFKuyh57fpexjsg1I9eckU6jcFV4bJmCsclIxVJIQmEShiZhIAmZhDPIxJJKWERIxVBYy9CG1zyB4pmLJbiVGhJNgnp8fN62rWDU9UabUHUhQDCX2DPXsS1lsz2fGORulr6E/Zpo4dK8qr8BYh+WoNpg7VbstwpW5bNcnH4Cg+Fbt/4+qR2RxCDy4vQTAFzd/h4ub3/qLlyZbwx5uhMFcF4NawrSZBQWJU2CMQlpMqJIp51wF9CNmeugJz3zeD3eGD66+yM86d/Lh7NHSCUsTC8bz7GrWfiawiSUUlHoiH0OqSQIabZINcWKoVLHoTmkkooGR2HCvbObFAytRVW5NrJcLFLeN5pwcxmDFGmopOrs0IwaCh1T6YxrfJDcjHHa4KL3diYDhulFUjuOFNQQyCR2iDVBwC0xBWHszGNAF8ecjQn2iUBUDMGyMaEdc09vv7lP2PbO09/NY99JMbqlVqv69XNcyOZGAUvVcp1RPRV8t64PrbBV99pm4LvBAtnEWhwuuiqwnouEQDa83y4+GZNQVi+SpZcDS2T5tbVlWDz2sHiSYfEkW8P33/F7OQ9MuEjOgC0/ZahDmsjE2fGXeCq9SIPnlnmJsW4z1DG7PvjG1zTUNGQ6YMtcItdhGGfeoY4ZDyXamt678bhHOM9MbwP866r6WRHZAj4jIj+lqqcLAP8bVf3+c2zH20JHJ0y2Abho3hsnTGHieajPouq5pE+Qa87CzJn6vW4VdeiD8uaWzfBOqaWmVs+yCT+yjfW7s9qx1IabcosJW4zSAV6hsAUL53CqVE4ZJMJR7SmsMEqUq0PDPz5Y8Eg2Zt44EiNU3pOakNFwjQ82KCgvLldcyHOO6oaVd2zpLh7PL906DqtrkrF0OdfHFqcwToWBFYaJUjq4XQk3V57SBarPODVULtgbOa+sfBgoV85Tq6dVbxYMJZHmh2KjBYrZsBgBOhsTwXDsb2AInpiFTEhlSKGxZkMWYY00OEfRxIxqyDSkJ1Y5bcw8BNpgUHMOCpJ3pi4HStXZdcHtcdtVVZVwnFXZUpcdkMS6t4Q0GUYrgfBZmzXB542L00+Q2rBI4HykJPsGbb11JWXlDrqBMbUFmRl337vXGjEJmQxIJCi0zv3+CbuiHm8eF7OG79hOOK4TtjNl3sBeESZWVuDLx6GG16illLUFUUtHbieaYz/FiCXXYEsylJREQj2XU6X2jiNdsZIlY0ZMdBsrKSuT4zSUXxg1lLIg0ZQ9v4c3nhv+N7gi74t1fAVWLSkpRybQkE2kIR+aQx7Ri9TqmcmCbbmGF8dLfJ2pXCGRgloXTPUCx+aAjCGFjkBDKcNEx1TUVFqHmixSPA1WExpxOGlINcGK6RYBh1ETofUAD8mc9f1kCJnd1Ai1V0SEVOCoWZCTkRghV8vjcolRGtTsb7gZpZQkG8Ohib69hlC3G/4vyHSAo6GWUFc2MDvcbp6l8csue9lis84OHNYMcFrF/il4B4e67ARjDM4OO1bJYhUynxI///ru91HYKa2a/cLtU/t2knxv7Ea2hu8nS0aktqDxVafuvlkWAessXEtfbdkywes49J1toFs2x9059XhrSDXjdz4ypPawlSjfXoRrf2xSrAg3myVOGiZ+wszMKHxgT4zIQAd4lGO/4nI6QppdDjjCYNjOEqwIK+cpEmEkNjLAgoODAlfrPWa+YiUramrGusWBuUmtK7blGo/JHr+2/GmuDL6ThT/obMxqlp2Pap5MUByLaj+Oq2FhLk+nwaZn9W2QJNbugjFD1C/D+ASd2nMIZENwHGLdM64rkTsHsac3pfUC3rQqCjhtg7Tp96uRFdMG3G0WOtgxeYJn8LrGdm27uJH5ldPtbxeaHW1Q39UDn2aOiOkC4Tb4nS2+Gj8jlI8NiyeD9kjHFPc4XTtX3Ct85+7v5zG9Sq0eKwanniUVHs9SFuxXI75tvoyoIdUr5LFGfaQD9s0+QEgq6aBrd93VPffo8WqcW9Crqi8CL8bnxyLyZeAa8ECp3ozyS+wk1wFINUj1L2WOIUxIreQkNqeWiiuyw0QLrBie5xVSzdgzY2a+4thVOBxjHVHj8JqycsEX18fa3IUsqakopSI1Er12lUFiWDaeCwPD7TIEm6VTvn6svLAoycWycMG7F295qQk3vcWyJNCXBppT4nh2NWdsMmp1ePEcs89AwiC4RUFmhKMabi4bnp6mKMpxHTr10sEq+hx5hYPSUTnFxEk2wCvNnKWUjCMNJUxnfUdBtmo7qnMrQNM+b/+vpcKoiVmtUFvUaMkqjlVGglSNmEEMdMtu8teulHYTrFh7Cmuxqc1M7mZ9nYgNdTYKm5TmTbT7tvs4X5HYtQ2LNSOcXyEassNtwNvu235+kT92rnSi6fjDwbJF6m4xwEgSgnQfBtPSHXXnYiQlM2N8DEA2M+yGNGQDNYgYPX/w0+fW7ocdP7j3nThtWDm6gPfFZWBPVA72y7D4VMmSXX+FXMNiw21zg0Rypn4vCHxEKu1QxxiEUbQCGqcWg3DcNBz7ilvmBpaUa3IBGLDvE3IpcNIwdCOOzCGFjsg158gcc8w+F+Q98d4LolGVlJGmbDobk9Y2YqEVmaQ0uDgJqxnIlNwXDHRI8PddUuuKLfYCwVkzrNpQaygVhlAnuKSklpqEuBCmCSU1qSakUaQqMXFxgLWAVW5M55rgVAPrhMhAOaVv02oOrLzD1WtLNYPBaIbHs5IFQ6aUsgg0Sw2clRD6B2syJ2E8cNQ0ftllMdvFpVZXQDYEbho3x5h83ZKNsojEDkjtKIj/pNtde6fJNRpdBXEwv2Bgdpj7/S7zZSShdiUXJh/n5tH5Uvq8NjS+ildC8DpvrYYANkWprMnIYtZ3Mz4IS6Ghj7WSImJ6Iby3iX/+6iWsgDFwqxK+fDtci7X3HGsQrKqkYqhDLuleCGS1wSBsJzkL11CpQ0TYsim4CWObUnvlwtCQGkvlYOHgsHRkVphmhutj4aiypFJw0zmmMmafQy64KzhpODA3+aa+zG7xFAsfGCEDmVLqcVjINgOKbNKVW9g87xaP1oGcJc8uUTeHQEqaTGNN6pC63o/6Kklc+LGRjRH+rXWnTlOT1/W57Xt39vINGeT1Av7rB8zrRfewf8j+hmA1HAPWIlXr2ty184tjLagZtluLY9muvGozuyvd3CiJmd4guArQ+HVZRmKHOLcCQ1d+5bWKGec0eGn7imHxZLfwdl54eu93k5IzsAnWe6wIh65hJUsSDToLt+U4nmHo/4/MEY4GS8KCQ1Ipgh89JpbLOV45/IVzbXePU3jALIvuScpJRJ4Avhs462r8pIj8ioj8AxH50B32/xER+WUR+eVXXrl3HmLj4dNkZszUXyDVUGdV6CCqiToMltrNaXzJMfsc+iWZsax8w9CP2NYtXAzCFrKklrrrPOeuprAhK1s6z5bN2GGMJaHQgtulQ7WtoQ0Dzc2l56CqqZwySYXGQ24sPnbkCy35Bi+wZTPGJmMlIcujeEqpuvOa+RCA15R46q424ll5ic9V3+aXZy/xq/pVPntrwaIJ9bqlg2UTBoo2IAeo1dNoELYq1TGTObVUlIRzddKE7DZ158+7Sa3ypwYbH3NarWpzo0FJtfUAdFqHWlPJQyAWnxtJwgJEzCxAm5G1XeayXQU+yzdSY11eS5MOSt2B8mvNup6wraMxkoasLaZbRU2SvUBRjBTEVpEUNgfCIIBx3tnew9kXuvNP4uDXTlpDO9oVcU9ihmRmzMjsMTSBnu0i7cqShutHjylZUMiDLzRzv/oTgCdHDU6Fmyv41gzmTeiEaw83Vw3LxvG8vEijq67eLnhtTpj6Cx0zwouP4kvxPqRhKw3Zs8p7UgmU4CTWwiYm0KYv2TGKZ+qnkTqcxAUmZeK3uKSPMvZbwb9TDcfmkF222SH87o6GRFMqwsJag2cRlZ8V3/mSD2L22cbyBU/NAS/QbCyC1VLHe11R8biYIZHIAAnB77qvsBs1dCLrrK4VCSJ6EsoxWrfLzJgu46viKam41aw48AtucsDMV9TqQ+CsQe0+BLeB2pzrkIFOglo1JVYTEk1ICH1PLSW1lOR20tWsJnZwIgNzIgttcqwpQg2dWfdBja9IJGdgdzAm7SZtFyYfZ+UP1/tLytzvhwlxXGSwEhYF7xV7pHFLmuhQ0Ap1bVIvVX2gLycjcjshiQuTnRghphO58nhG6YV70u7zxv3qUz6580d5/7jiVw+UX3jFcVBBKobae1IT7uvnzTdoKFnIglyCn/XYZOxlBYU1DG1gU8ybBlUYSEJqQk3wVhoW5QeJ0Pig2SEIwyQs1A0Ty6EruZiMmOmK2+YGN+1LNDie8E+QasYj+hS5BEG+W8032dNH2fGX8NRhfFHHyOwxsDvkdkJmR51IXDcmR3/ZzdrxLLvIOqjUjvGgaKA7myx0FCKcVmI+jTsHs55OoTnue+cAeSPj2x1vM2u68Vw379m4WK9lfGyWV5kT24XPOK3IHOp4JfZBIhYrSSdA2Y71aXqx8/h1foXXEueX+E49fS0+t9k/nRe+uv+3GOoWQ2vJjGHhG2Yyp5KKSiomfoKThoScXLbYZYsdv8OCQ+ZyOyxI4mikxkkTFiC1fP0P7nEXoQ8cvfncR0oRGQP/OfDHVfXo1NufBa6r6ncB/yHwd846hqr+mKp+TFU/dvHixXNt7yZmi6/SaMlcQm3aULdoRZdWBPPrLJmQmJwhU47MEYeuZEnF5WSMiNCgLKUk1wyrobampqFWz7z2OIVGg2JzKpYrepGVrPAoiyYEk7tFQmaEhQuB8FHtuVWGznWcWlJjOHYVR+aIXb9D5UPWtw0yLUmckmoQkYqB3RV/le/Q78QgrGTFIS9xmxdYyDGOmq+Zr1J52MuDsrM1oa531SiLxgfF5lPKiWMdMfFbGISSUBukBPXYLkMANLjuu4TWtii0r7V6agVzWouDILhTk5CTyjAEvhIC37a+TsRiTU5qi06xOLxuXvP/zUHERmGN9vUuaOZk3TBwYjXUmgJphSE26oBVT05KN4UmzhOj5FJUHA+Be0tLTuL3U/sllZuHGjwMh+4FqlhHbaNNSyI5Gn+rSmccu5fuaQ3heeB+9ScA/9VLwpeODCun2EhCSAzMao/XUHe65/eYcqUrkXA0TPyUPIosrWQe9QIKSilpcFQ0zJuGWe1YuXBtOfU8ope56C8wtDZQFBPLh4srXEgGXExG7PkdxjrCqmXXDrkgE7LYQ3jxXPKXMAiV1qSa4XHYmPkHWMmyK0vY8lMuuKvs+b0ugxtsT8bs6aM0WrKU9RDQ4EhJA3FbSpYS1J0zEhIsuWZkkoY63EhxTuKjDXgHiSGPegiJCeJWVqSd68bvQbvAeiYLZmbGzBxSUlFqg8UylJyhDhjqkLHfItEk1hSH4LeQSXfOisfGGuB2cahTY8aQbCyShXs/xcTX2gl7Sz9sF9FEDAk5h7MvdN/PKLlIK/SXy5jKz6jdjNIdhzKOyIBJzYDGnT+lrw04nK+6R7eYx5rK3fYz8/pmoFOa0BfmdovUjsIiogR7v1VzmwuTj597288b96tP+bmD/5D/38sZ41S4UISyJCNhMdyKsDDzUKMvPrDM1OHUs5MnbKWGIhHq+BsWcR+A2iujVLixDGwUIZQ7FdZwdRh+6+3Us50LH9kec2mQcsGO2PaXGPsppaxYacUlmTKXOVZSKp3xiP0QU51wRba56p8Klmsy7pgUieSkZhCsIW0RqM7duFzgfVhUNqal7w4j7XkdZLZBXmcr1NGH1wHpq4JcCfXAZ9b66hvP8nbbtRZK7aPDWtDq1XOAM2wWxbBpT9QGyGdvd/J5WBRLOiaFkezE/RpqjtcsjU2q9VmOFOeBQgcsnGPpGlZasYpjgMGwkAX7PMfc77PQA74pz3JoDikYA5BITq5DzMb3ozh2t565J23v8WDiXJdzJFTn/+fA/1tV//bp9zeDYFX9+yLyF0XkgqrePM92vRl4rTnWG0FOXVKWMmfJUQwEQie9LY8E1VFK9s0+Iw3S/t8xGfLSosE0W3hRKl0y0JyR5JhYdzbJDF4N1ghDG7rELx4GOyODkFlh1QSLodQIGvvdWb2u9xglFsg48iFYm2mYCOdR8GYly0jgE3LJWGoQANgxQZ1xYg3PN8911jYLDmh8SaVLvjF7mqMq4/GxJTPgRKi8gg8DIMAksxyUjrp2zGhQaUlsa+9diRmVMIUTnIRAKte8C8gh0LBKPQ40SBlS6wKNGcswyavJZNydu4XOSsRIkLJf57TXAafFBIukqNbcBrnt5NNpFep4MZ1iMdCtOAeq8Mm6tdOCLptqrCIG9Wt6UldzE1dRWyuT80TtFzR+gY8iSB0FUxucW09Oy+YYk6asmtss/CukNkw6CjPpqESWNHiqYoJydo+3hK8vj6jcFgvnuBqtI+rI6PCRcmcJdbpLCYJRisdJwyWZstSGqQ++u20WNNWUjASvyjCxUQvAkJoMp0pmcmpVaGCUhuDQ+fC8qAdU3ncMpcImXE0nvLis2PczPMo+h6zMglpKCh1RsaQgUKJTTTkyR3g8OzqlwVPTMNYhNc3aqo1QG17qjENj2PGX4mT2pCiaVcuWKVj5sAiWYkhiwGuNkBlBlXA+rP3CXfQLz4zBGgjdo+IUSu+waskIi44ez46/gBNHqRU5GZ6gAO11bQMSKM+m618cNUupu0m4J2RcWxseINbTpXExqYnMj6DK2pYSbNbetfvVftmVgLRo1eu91pTMqNw80KcxNKxpoBBUkM8bRlIaXXuNayfWAypNR41syylqN6dqjsmSrZB5MnmweiJm7MT1ojN3Ad+aVVgRrg5TjkvloKkYm5RbTaCxWlKuukcDPTT+frY0XB3E+sjEMlSLSLiHRoklt2HknuRhobvxcKmAcWJQwCm8vDKMkvD+l283TNIEU+9x080Z66hr328eXOf5RcmX5PNMfHCxOPALaqkZabDj8uqZy22sTDlyL4V63U55OCFLJt24bUy02CMqQScTVtULQKiRDYj3rWpHdG6ztCcFsE5ZIbV/yx22eR2l2s2A91Wf1bZrwz1i7bq04TzRagNIy1k5zRTbcIw4dXivTfhuotaINfnmu+vT4KxFd9fVA98r5KTsNwuOzDGH8kpXVgbgpWbWvERihtR+wYGEcjBLSsaYC3olLAq3NnFxntj3KfcQrZDVA4Rzu7ol+En8P4Avq+r/5Q7bXAFeVlUVkd9EuMP3z6tNbwWz8iUkD6v3Sw6pNKyot8ImeVylTDTBiKFkiUdpVGk8XBwkNAtl6RomMqQwNgapcG1kGSWh+uSwgmESAsqpzbrVV4305tSEDMZCHa4JA9NxEzLGdRMC5DbIbXCohIAyqNvlXYYVQoeXkwZ/4NhBfCJ/Hz9THka6YUAiOc/Li6zKPa4OpxQ2rCIX1lD7MPBZgSsDsGKpfcJzfl2DkWpGrlkX0CZsrECqxUZJKwCvFieu+16bqPTo8dE6JcERqDpGLC5mf02s+W2tXDaxSTMEohw+Jyab7ffRdrQtNbmFxwdvZvXYjQGo0ZrjxVdOft6GcM1mvU373mb2d1U+S55dpaxefJ0r8K3h0vSTNH6Jqqf0x2uPafU0ccKw+R1UTajvbScWWTJCsJT+NoWZkEc/11zGXWavx5vHV/hFbPVJcklovLLyRJuy4NndeKWMg/hAhyxjXSlAo56pzZg1tlNDH+qI1q92O0vJjEFRjipHYU0nbJfETGhmhCIBK4ZhAkHoyfD4GL5w4JlmwQ5jJ0s5WBlWsgrMjyic5cWv67s1qLK3WVERYSwZL+oxUwaggXbdagpc4Ul+w/8iztRMuUApqyDApcOwrdTkZBTGBmET6JSYjcQKOA2BLNAFwCsXhPtEBGvCxDMzYdtl46k09IfNhrjeWIfclmOMCEZDJru9Z2upowdyg5fAPFE8K2ahr4+WQi6qaW/CRJG41vLMxHvuhFWROTkpc74KAa2cpOa1meWlu43Xugt4jQlBtYghjXoM+0efZXfrGW4df+6uXKdnoa1X3rRh2tRIcH4VzxPquBAgEo2q7JhUhjT+AIcLgkYm0MRbv+Qebw2f11/lKfcB8pXhuGmY6ZKZW1JJ2S3whAVvy1JLBuSRAh0Wvmof7i+vMEyCDeGy8VwdCnuZp7Cez9+2KMJ2pjw7h0RgJcLAKkc1XB6ELPOsdjySbfHkluX5uedGGa7p3FiecN9Bgulq+cc6wmnRlT9lDJgR6PuJCV69mR1h012cL6ncnMYt1/cTobY1MLPaxbNWETyPAeQSbYPWU/W8r0Z7X/oT2eOw4B6zvWKicNbZwa+iwbaIs2uJkY2FvrZmt5uPhCC3pWnLKUGr01nfzUWBzSDW+QpPg5qMg9nnT5yfyHrRH1rVaBcD5EGn/Hy8+Arj4dNd6dZ54JndH2ZMED6zBLZeqTNqXdD4MjBaMHipScy4WwBMbMGUi0x0xEsSGJdePImmlMxIzPDc2tzjDDxgNb3nuaTzW4AfAn5VRD4XX/tfA48DqOqPAr8b+NdEpAGWwO9VfWeZPm3lj5DEDtRIShGptI0G9U6PI2OAj6v0E93GarAgOq4D/ffaMOXFhXST0Fnt2CssiwZAcR7mjXKpgC8fBuXjwlpGSejUFmUQA2kpfbkxMX8ouDiRa6mEdcy0NjieGI5YuUChfqmakYslM5bSWQ7liF22+TX9On/48vt4biFUqyU20uYAHueD5D6jkIws1syFUl7t/HwbVY5r4Ymxspdn7L+yQxktD7Z1i0xsZ13UtrfBk8VLr4lZrDYzDCFYNRJoj0BXlxjes3gNVOeEQG/2WqNiUa1ptO7qgKAdpFgPJDEQ3qxZ6bLBG6uibRAdqL45nafeRl3N1vD9rwp8T4tWtWgVTFv15lbd+e0GvjvjjzBId3nh4Ge4NP0ktZtH+mD4Do1JQg1lzGyLmC7j4qljoFuH7zC2vXJzdrInKTUOKFqjEqxyjFhMVLK8NP0kVlJevP2zb7n97zZ8Ov1t3KiXLLSk9jk2MidaD8xGfZwYhvrZgQY/zVRTFtSsmrB4ts8hAy3YMUNmvgrZk6rCiuHAL5iZYz4k10iNxOyN4fLAkNtAV8wtDCzYXNhKlMzA9bFl5cL7oTZWqFFyBpS6JCXlskyZu5pXzH5QYRbbeeuqV75qvk7GgKfGBZ87uh3v+9Clz+SY1AxQHIfmJjv+EqmmpCSkYnGahv5Clb2szUIZlo3GTOxa4RqIGV6lajTWG8b6XQ09mPNK6dd1wm0NcWtPFOjiQaSmwYesMiFY9eIpZQHQLcCFya/r6sbaLLw1OUbDOTR+Qe1iNs1kgdEhEJSao0q6GXQLT0DsF2pG+cn6VqsJpQtkqJDlrUhMcSKAbnxJagedcN3e5KPsH332LV+fw+JJrMk4XnyF0eCpExZLrZeqj+qzrRfpWqcgia8HZep2n8aXTMyEWhe0qvBAt5jZxg8744/gtOmFrd4kfvvgo3x1fkRmhaFanA45YBbsX9ThxDGMSs5XZUIioV7XqXJQejJjeGlZcm2YM8kCa8JgeH4BKxcCsXmjPDUOc4mDUrk0MKRGeXTg+Upjya0iwHunKYmE4Fiw7BUDnIfLw5R6HuwYYS0ot2MKjl1gIFVSrYMfd0RiBtRuTmZHjJI9juWljj3QMq3ae0xOMB1sd51qJyq39so9GfCa9eubys/i14G0bJQ1aYOKRe4Q+K4Vn9dYU4ZPimZ17egWnz1EinXY4PT0/OwsZutK0e3WLs7jmY4/fKJkAohe2lWXFQ+10rHsKn4X4+HTqHpGg6eYL7/2qs98o9gZfwRjEvaPPsvF6SfYslcoGJMxiHaVgsFSyZJaF6GEI+oFhMWyUZyTusC205qlO2AiH+JADnHUXTmcF4PVtGPnjYdP43zFcvWtt9z+Hg8fzlO9+R/xKvLFq7b588CfP6829OjRo0ePHj169OjRo0ePuwnltP/0Ox33jrz/AGJYPEliB2znjwcqrdig2qmrzi8zSKaHle1QZ2fIyVg2nswaBjbUvBy6ikdGQ5aNUljDJBNulyF70XjIrdAovLBa0fpQ1j6s2LUU5MIaVi5QFW9Xdfdeiuno0CkJQ3IWWpJZwYih8WH1b2ATlq6tlUtRVTIZkJtgnTQye9S6wJBSy5ItHXEhy3mxWtCo0q5B1h6yBAqrfOHAxXXFBCvwSDbmZl1Sac2WzZhkFueDouysaaW1gp1SsDOZb9T+BqSah3oXPCWzYG0Rcq4AkdrsadUfEykwUQymISiLtplOweK0jKu2LT06xft6vbJ7gj5E15bW8ihYa9hOdRTC97mZ5R0NnrrjdZTY4gR1uP2sliaYJNs0ze03fF1C8MxMTE6WBA/jR3Y+Hc4z2oa0mSCb5GR2ROXm3b7W5Fhyar/E+1gPow1GEtJYz9yqZUOgbDqtOwVbj+eRnU9z4/DnuLr9PVycfqK3CXiD+FX3NZ4yTzBJE3yk5tbeU1jD7apmoTUzmdNIg4s+uRBKFkyUVsrFkvtQCz9ILOJC7e4NPaSmojYVW36KaqAAOxNyrYeVktmQKR0lwm7mWbigwqoKo0RZufC+V9gxQ2CIFeFZv0+qKVtJGDL21TCWgpVWGJGuNh9gJTM8MDMzrAbbIwiZ0SRaTCi+q0muaUixZGKp1OG8Yl2KkaBo7VG2kiT679IpMtc+tDMza2/ixofSEo010qkxJGoQFVZaUQpRV0CjL7B2bWnbk2AZ6ICKJY2E6x4CsbDN/rTZFKc1uRl3ta5eUjJrO/pxC68NjfOdInxrIxLov+G+a+nMAB/b+YNUZrlWOo59hdcm5Kai33iryN76kXtXvyW7kWHxZGS7ZBiTMh4+vdY+2JjUJLYImgRuXdvb+p63lmgtm6VTv5eEys86Jk8iOYkUIfsWszKXpp/kYPZ5dsYfOXda5cOEvclHuZ58jO8aXKPynsMmuCbsMMYLHSPE4clMgmoQpGyTkVYCg2s3y1g55b2FcLOEgRVulZ7aC/NGWTXK3AXP6+2sVUqHF1aGaaqUHvbLaBNmg43hbh5sDmcN3K5gK0nYItzHr1QlTgMTbs6KPTNm4qdd3WZqg26HiAnMo+QxarNgaW5R1a0UTEZiBzRuxSbt10QlY4NBpSZkSEG1Rn28bkWiSKWAbNa9rh0WWvpva+cTxtQUtCT4AvtX1/i2IlobdOM7CWBtZorXWd91Pe8mnTm4T2wwx9rSrciKU/EnrMHa+U+b5R0U19tvh9Y9os2Wq3rydDtoprhVxyRpdUfS9CJ1/eYVyYfFk4zySwiGvclHsZJHjRZHyYKR7ACw43d50X67Y/ZZk8fMbk5uxiSSh3kcNdaEcrZn5etdmZtocAeAyMpRz+7WM8wWXyXPrr3l9vd4A1B6evPDBBFDZkdopNOu/GH0iA3+jCljGhYIhoollpRSIrXNWWrX8NRgyrxRBpJwWHkE4dFxUBvNBiG4vbkKk81hIpGCbLjVrMg16VRLgwVByji1VN6znaUsm1A/ZQh1e3jW4i8YZpVnnBluLCsmJueoCfTHXBImMmWQWmx9kW/OLctGea9/ihsckJKyb14GhVFqGDcZt0tlkISBrooT5RSoXJhA3ipbUSvDhWJIkcArS6VIgpH9UQWlNziveF0LV6WaUkuN1aAwWRNo41ajOimrroYw1NnVXZDamttnMsSIJSPUcix82ak7btb0AqTRU7c+tTplTHqiLtjjsZJ0AV97PQS63vJVQhAtDdBImIhuKiieroE7qRxtSJPpm742vTYUyeUQ+uvihCG7MQm1W5GYrJs02zgBbf2MAYpkG1XHqjlEfYWYsCDQ1uFlMgjfA2kkIa0VagEuTj8RBtwHbKXvfmLXX+LaOGNeKzfLshOVq13NWIeUVKSklKywJFRSkRBoZ3OW7DHFo4yl6O6hnSxl0TjSOsWqZWXmLMyc2k+ZN57GKzQhpGsV2OeNMkqEUaIMrfLC0lD5UAubmUB/HiYZ88ZTWKGcb1OLp1bl2FXssM0RCzISrCYMJWc3y7H1dXKxzGsl1YxSVt31UrKIyusDvDqO5DYTtkOfpUmgrxGEZ5wqtSor79iyKePMoFHlfpBAXQXRnRbt3LNRJZHg09t6+ebW4BvFaUJNDZjuu6vjRMtJQ6Oua6touP7R9QQzTMpCjXImQ7wPZQGZDFBCyYsQJmCthZFK6Ecq13R0zPZeDfeOCwGvOTnxbqSh0gXW5Cfu7c2Fs/X/6+DRmLRbuHozUHy0F3J4X8fJb8OmJkG7cNf2ZyZSStvA2NqM1A5Y1gedaFeroh/UqUNQb9olhig8k8qQkllH0e77kzcOIym55hSJ8I3jIDy3JQWFtRTWsChDP5GKRTUsDK2cp8CwcI4rgxSnsFsYZrXy/CLcSzs5XCiCyvwL8wYjcFilvLxsfxthZQUrSm5g6eBiAVsJDKxyo5RuLpyIsJUqmbEx6Iaj2nKgJYdOeCyd8qvua9zUr1OYKakMGbMX1MzNS9S64ECfPXEfnKT5blj3EOro23HWaxqvtQTVJCYoulMI36HJCV7aJ0X1umNKHp0ZDN5XeDV4N0dZi9y9OrC1cZw1sY4X1j69r60CHajaa0G9E+/Rntf6HtwsTYJwL58lRtUuToXH+nyNybr5zGaNfvu8XYB4swi2SDVW8mgnmUex0WitJ8voQFB1iQ4xJtT0Alv2ClMuUlMx42YQ44wL+5XOSFj3mW3A3P2tDXl2LXwf2msGnCt6IauHB3uDp/mgfjcLLXnOfI2VHuLVY8RQ6xIEvDpyLXBSd3WmXjxeFYslNcHjNjNhACks1F5YOWU7E6yGmrvGKzdXBAVEhNwMmTeh06t9a0GiLF2YhNY+qJZ6DZmP0KGmLHxNpY6UhFtVxVFtunrakU27DEipjrFY9rKMyis3lp6dLCNrLmBF2HVbXCwyrMAHt3MaH6xVlk1Qmw2CMqHGGIWXljW5MVwoEt47gct5w69ISqMhIxPaGD67m2gSAvaJjkjFsM9xUObTjDRmYZzUJNEjuSHU2EmU8WlwMTPdZmbTrg4EYq2c1kis8dn00ExtOI7zZagFaQcJ9V3mWTVkkztF5rivx78qE7FcfYth8WRox8aAc1rcanPA2nz/zSKxg6gQXVP5dc1hyGQnYKOadZxYt+fQZoNVw2RcMRTJlLkvu+0SCZYiGoOA9rpOZUiiKStmnZpzOOH8tRvbo8PveXSH/VL47GJFqY6SCpX/P3t/Hmxvtt53YZ9nrfUOezjzb+ruX3ffQXfgWpYlWUZWkG0S25RDQUxR4EASAlQoKgWpVIZKmSQGFyYpYv4gxR+pUK7kD6hQEMpAAca4ysERxIEQyxosRdJV697bt8df/6Yz7el937XWkz+e9b77nL6DWrL6+lo6T1fX+Z2z99n73fvstdYzfIfMtvBHE5G5zmloiRKp1QoLr4GKisZ5omYc1rhJWVGvdDlzJDMUZcPMmhZeJvuik0qYBStqh7yf5m6TzSznAdJg84vWK1W5jxdHn42vvxoS62iq0SLCYWkyJc2kknTdrxu02Kbs1dqNTz7niJ2sWOgxG7nCazXZqtnEVWkl4EQmLu5GOxYEWg992k+owBScx5nMKAVhfDxr1q0H8yoNTliEQBoySffcv53sp5VgAlZKpqJC1IT4ksRJbGkUUtk3rbzt9+W/IM0eHeECMfelYWoxeRmn7bTOxmI168C75395upafe/l/4c3Tv3eaemQ33GqspdxP05xcBLX21iy/8SRkVKL/dtNde1/3Oghjs278+a09rkyLU+73ifTEMRzfCUfUjkaWU5MguIascULp3MUnix+UP8gfeXDAL5wnWqnZaMdaOz5Kaw7iAVfuikprvCxLI6lwI7Fco/HCNuokSnnVW6P6vXWmKn+GUTW9zzbBBcsBdkk5raHLFJ6wEhX6bE3xLkFU4wgHEerKmm3rQQlOaLIVPx8Na7yruO9/wM4WqbjMTziWV2lkOa2pUY14LGqVzBDXgCv+12H6HE+NGGdNbjvzHCkb79wcJQAZeerfqsPBjZ/V4YCYtvZ4eYe6GWjH3kfXitR9o6iIY2oRrhofV/P+37fiZjO8cG3Zc2ynQrU0mW8WpeNEdsxPxvtfbfbc+DE/MXSIK+vciuXg9+9ZcO20B9x8vN9c3NQ0sQJ75GxX2uDVGjad2KAjMqIX5wyyJdLRsWXFC3b5qqBZhoIUaaahR5DGRAXLbV26wmEuGTFt+HbNjLv4nRt3p8t3iFn7Jo0seX3e8sS/hxaFu218gaPioX6OpAOVtGzkmh0rM8nG/Cw3suXINzzfRTYxUXvhQetpvR0CH6wjb19nVkOZOKhBiLxYonod4wTbq5yjco5VjFwPA32yIjkXqFLGksxl5TkOzfT/2O2ti1ponxMZs/UYNLGOaXqcPmcu+oFF8MSszH2gT0rthNPaptBehEHh5S5y1cOznU6q0o1zlnjXwnFlyc391grePjEl31qaAQ0mYANQi6cSz6EumOmcWq2Icgh1SeDhtspy1M6m7tKW+1aTt+xReI2ZP6F2S3KOJVE1n93gmuLva36AJpQQbk04x4lv0kjSSExbOwhKER1cPXURb8Y4VZ58BG9MdW/GLW9gzZNh/G8kVDNdupoS4Y9L9Y8FfcodqSTr6YbxvWouYlaZpF3xNp5NSX3U3XRQja/N4amZccxDtuni26rX3sV3jrPDH0UVPtqaeEwjnp3b0mrLD4bXAXhFzjhyMyoq5nnBXOdFKGpgKQ2bPJBQBs005e8zZJuIDmRq51nmA07yMalYFwURrgcrlPuiuj4Pwi7B9SBskmWyqfih9VlQhGWAo9rWd+uF2jvm3vaYmYTp8Fj4qlxHZjUkLoaePimddCzzATvZ0Etv8LTS5Q9qDaqAp9KKgKN2nsYZ0mUZrPidS1NUmM23vEvKZa+s474RCAbT9MUGDmyaMgs3EB7FB72WiloqRgErK24rKq1Y6IxWZ4ju6Q2ewIKTKVlLOtwSoRoLett7Glp3aPBevDXOxsZbWZsx7QqVwGB6I8y5j2tCOLv1eYlqYi6NP6QJhwQ/I/gZzo1JsZumPCNNASDmjqPlD/6GP5+qaRK8o7wDNyMV6ONeaXaPXLGCo5mK5dGP16DO/tZ0elRrNmimp5EDtsNLs2YaLolpR109/A1f/++0eHD0E8yl4mGbedB6jquajWw49jPe9PfZyJbX9AELnXGedrzLUzba0+XE9TBwXDs20UC2XVK8E04bgzCvhsR5lwhOqERYVI6k5tU7C4Kqshpgl4UhC5VTtklYR9gkQ3clBRmbWV45CMoyWJFdOcdxaJgXRNYb+iozXdCyZKnH9HnFhnN2ekWfV9b4KX7y9nmPE8S/CnOCb+3cLQXjXpyyLj83ITkrKMu5LAHvrEF+yzv7xv/jbWCNoeBnVGFZXB4avJuV/2u8mxms2jWINDg3Q9wMKfcVaW78O3C7KKyw4syXa6knisDNa9AbqDOArP2UP5ggXk/OVrRW1W2/aOdCoRzUVH45Xe9t5BkT6mTa4zR+V/rWd4rgW3xpoI+uHKP4X1Pyuit3ySA9O1mRdH8+zPwJgYZetkS1PGbIW2Le0sqR5S0MDHnDLl9Ne2yXTXxz0z8rn5Etqh3O/cbRL3fxCWKEN/9W/P89irtJ73eIRf2AH3Vf4QuHwtvrz/I19yush+eIOBrmLHTGTD/PuXtJJxtuGmRvZUOtNUM2u4wqW0J3UDmywnurSO2F40YIzhLQqyHTK9xrbTOssrBJiftthRfYROuyrgfbiGrnpgI2OOvSDhkOKgoc2hJDVbMgeJF6zrnmnh7Sesfr1Zwnu46LtMWvlzwfdpyGdlKMfr9bURE4aRY86wzy6ATOGmEb7TnBHnv82nhToH3Re15tI60rHprZrqkSsx9pJTD3nl3KRLXkdtDEmh1ePTMaBo1cuaup4A3aTp1HFWPkWThmHNkUs9gtObxBnnF0RcnYfCKXxgERb1MWmA7Jqbt5syN7I6zpUaZSOX7bYnacJptVwo0proAj3Er84Dbc6DcTdujf5hk6Z5PdsUmTRqVZjdM0O2kkuJogDUPeoJqp/WKCZsfcIeLxN5SqEwO9bljrcw7lEYfhVVbpKR9d/FUeHv/kb+r6fyfF507/OJ/zv5+h8GwPKs9HcUWrM15vF3zpyHG6fcDLXbLGVzc3REYpEMbmQmTP3TLDC+W8H6jEcRACIuBlyUXsuBh67tcNTZE73qX9753V2fYM3RfCrR+9b229jz8/rGGXhFSKwcrB062yyokDXzP3nsNqzvOu4wN5xlwX5B48gYBnrkueybtEOhqWbOSKRueEwvc9kHby4nXIvpHmHashscmRpBWKNdFk5N+K2Yo4zI7JCfTJ5ql9znvIc1aGrGw1ThPhVgIVB7ekFjNKjU2uHcJad4bmIVHLnEBDdDsEv1eOJ9mksnCVnVSTz3csFkMp9xPdAtknsJPnbu7sPh+DJNYyQ2TJUGDOozWJTZzqqfiNyWCfNyHII4Twk8a0t96AOd78CpBSvDXJgr0Nm6nC76fooRQgY+Mti9tfk2ab78qWbTzn0L/KsnrI1fBhsXL71obiXdyO10/+KG+438M/9GbNaR15MKv5mSubhr02rzmqhcX6HtuY0aQ8kb0TZEI5rmpqb2vcFzpAysq8sb/3LARaL7w6y/zqlWOTYB3t/BdskpvLtHfI8LBVRAz95bCvjWNqyHuBiwE+3CRmQWgRdlHpSz7Tes+L/B739A0OdUnnv8iz9GuT1sRQ7PcA5vUZXbwma6QJB1PxO37e4r4nA+yRBgZRDqS8u0FDut2c/rj7QpC5nX+5u1GAVtThkCFtyvd7BITcWMOjPdn4WHsdj9J4ljwVsSMPebI1K2iKkStvr2Pf7LqJGLvZyB5f+Pi+3QzvrNE/5O3k7DC+Hpv+54myMSpCj4V0yrdRMZ8kXPHmBiZYeS1zBMeOte2Nxf6wK3BlL4ayscJ4zsBeR8Ua+JF1ts+yL39DnTRbLE9LGgl+zhBXpLTC/ybh2XfxSUK/J/BmEWmB/wJosLr1z6vqnxaRU+D/DnwGeBv4E6p6/t0e667o/Q7xef/jXMeBuff8mvv/EbWj8i2tP0FwxWfO4H2Nzhmko9KGTjbM8wEbuWaTD0gksgYu0ob31h1faR5xWHve3W7ZpYrPHlS86JJxbXLioKpYVCZyda/1tMGK2eBK97TwdtsgZBWWlQlhtR6uh72th8LkZ7kdklkbSWanEdWKXblxKx0f9s64hG7GcSO8vxlYy5Yv1w8AS9Kjmv9c64VX5wbbHqfUMB5sZgN/NQibGJgHWAb7/etBioBXSy7wx7pAD6+GSJ+h0ZqZBA6rmpSVg9RSOceH+aL4+ga2sqHVJYmGrsCdR86paiaLZfaVWrF7FB6TGfbc1BtJ3MThddDnFSnHqci+eZ+bMEIt8OdvV/SOXrjDLZGXaoJJTwftxO1xt5LuTxKvnvzd9jeZINx73o+INwgQ4GnMuqpALM2XNxmvprxXQ96QysR87O46SodXIYl1Xoe8KfzEdoJgfvb07+Pp5X8FwEcXf/U39iJ+B8YPyw/xeFkxZHjRJbYxs5SWtjTDkprf9UHlebJRvDiz5ipJwU42DGU/AbMKutINcz3ksKq5Gno2KXHWVFwNES+G5jCkiDXB7rVGhwgOLgdbm2B7SnBwWO3hwo1TLgfHzJveQC5Tnm1UrkuiWomJ0c2CNfNmPkCGJInnnJfSsOJcXhLpaOXQGlJqXf5eegTHqZtPBW8uhW0SZRYcs+AYBsdVn6b9wokhYyopUyfY7yne9kUrkJW6CPU03lG5hiHb425jtsfJ+z2zz7mgWcw2rtbAJR1JonHOgCCvEcUS1aTDZJkWdTc1JsbEcoQg23vcT8IxYwI8TpTHQrOtb096g1ijL9LhMSoCgPi9nVq+wd8bxflEXIF9frJ49eTvpg4LdsPlLUjjLSGuHCfPYbttXyxMU+wiqDVapgHTv/OU3FfE0miL2k0CeA+OfmIS3en69z/xtf9OjR/i9/H5g5aXPcy946KHL82Pyzo1Tv5Z68jq+GAN87hgLg0bOh61DddDEeYUowy0Dl4MytvXiZ98KPzqlfBgkTmtE+voERHWQ+YzC0ftLSd53sGjFmpnecAiZNbRFai0clzDextrkD9qE093jscLT+2UVYS1E3bJMdeKZ3HN0t3D4ajE82p+lT5sed79KuJNnDGTqdxsEok7bB7bmecDZmU4gONbmshjs9fQSmGaoN4UkwSmIvAmfPimNodzezscEUdVGtwjlWF6HAkTSmoUlrSfV6hLxFJAGrT4eCoubxazNwUvx0Ja07fPO77dz+yxb/vVjmsTmK6p8nsLNCmF+NjUv22ptuWTxv2jHydIw7y+T9J9TpV0oGNFK4d0bHBi9pOZoYgbJhJVgTp3XOqKIW2IeUu8sZf28cre14LO6wZDvI2F/nr7NWbtm/TDR/a8afWJr/0uvm+jA/5bqroSg0X8VRH5T4F/EPjPVPX/ICL/HPDPAX/yuz3QXdH7HaLSiq/7t/nZl1/mTB/zUj5EuGDIGzb+nAf6iNYFUjFVb3JbuLyJRht2haM3KoKqZDZyzTY+IDpTEtWo/Ox5x/16xiZHBk082SZ2yaYU92cVtRNGL9+kZibfJUteWy/TNKPLBnVOanDlLplf5SaZ6uuVrNnINTNt6XLmZdyRsKT6KwcHXPWmCt0leHXe8CA/ZB6E2tsBqqlMWMRUXoNAVoM9+spRO+PTraNd0DJY4umLyuNhLagKbbAke5NMQXZZCQdDxfWguE5YBM+ikInqWKCV+Yxn/ZZBIzNt6KTnUl4apLAIVWgpaiMGMe8LlNIVaJ0v01+AoSitNszJklnrc4I0xpubfATdpKBY+aXxXQtnVjV/W++3q/UvcTD/Es5V09Rj6nD6hf07F3VC3U9RBcesffMT+ckljQRpmPnjAuUZOYFx4rQ48lQc7SfXZWI7imxpxpdD7eZBOEK8xucyUYwRMrYvsL/x8i/8utd6F98aT3fW7NmS2WjHJsFBH/jKsTD3yl96P5MVGvEYb9eguINYUuUQEolDabjGijMSRJSYI5ttZOkqdjmSSLzoeipnsOSs0HhlyEKvpiuQMWXVRzM4CpmkQuszXTb/3kHhReeIWVkNyiwIfRY+SLsyla2oHFz0maRK0MBnwinBCU+6LbV4zvIZSzlgxTUAjbYomV56Bul5P7/kDX82vb6MggqCwShzEd/pcuakriZIM1ihm4rGwKhEa/BL4yCOSBRr5sjUBOgERIRlZa8tAzWOygmVClk9LsFMF0QiPdsJ8tjqkl62BcFhyW0ms+QMJfNCr6Yib4QL59wb9LFMP5wLk5heSj3z+h7Pr/7arc/KWy/+PK8c/0EqNzdesQzTfuJwtj51XOd+SrDH5/ykKsgT8qSoL1uTLt66/RZ14gbs8mZRML4PY5Kby+TbHruakCdeGhLdLTX8sYF2F58sKud4MIMPNrBNNpVdDZGscNwEHlV29v7SeaL1jpM8ZxECfT+wrJwhwQZrcNUCn13CRxvl9aUHlAet0Rz+7W8or8yFdTTqwgdbxzzAdUHTH1aZTRKed47Hpfj9xQt4cyk838HDmdJn6LLw2twQa093hr646jOHtaffZVpqBunw+Yiq0K/GmPkT1CW6vEIxVBJ+QeOWtygTTpo92qFMn0Zup01Mq9L4badzTVxBOOhYdJoAlUr+GFy/nShEgisoj/1z1K6IX1b3pobOuG6yq4m5J7ia1p+wGZ7dogUZDWBg0tEonP0RMTLuJfCxSTTuVlEMewiziPuWtf/y+uc4O/zRaco7Nt2+HapjzIPG5wGH94ek4hv+3SLljjYcEqQx6HGheAyacG7JgDmE9Lq5xRlODDatESuQt9EmukPa4lxFH68LwmU27SXj+zi+L7EMHO68eb+H8T2AJqtBtMbuRVX+V+CPA393+fm/AfwUd0Xvby4OpeVz1ZdM3MG95Do+AZh4o9dyzUYDW7ksxdVe+ffcPWepR1RiAL+IspY1Wy75RnpKl3dkZ9O31/JjtjHRiCcgvN+t6IkcypxvXAm1N7hf7YTzzrjBtbNJReUcRTifq27Pz92kyFFVTZ/FrUY62XGUT1mKCc0MRI5kxu9eHvN4AU+c8Xv6DPda4bgylcXrwRQaH7RwWiVeDm6CP9Zeab2Uqa0Vt1+7LhYoGCTyICiu/H5UmaBHs2Ad4sYpjZeiDF1ROYN8xwwjhtp4ejOe9dsJ7lkzo9UFTh1RIo3OTbnWr8gjDHlMCAt3rNLG/o0pQYs6nJqFhqk1Nzi/hwWOsF97kEBSO5SyDN/RpmeEFo7KpGCKhF4aAjBgFk2qaVKMFu94ef1zn+hz6YsVg4incvNyuKZbh/EIbR55yl4aYt7SxWti3k5iHzf1HSZINK4oLLobcMmBys155+Vf+kTXeBffGrV3XA2ZV+ee5znzJF0Z9FdMefXDrQlGPR3WJBL3w4KcHV49SuYoH+HFUVGz0Z5NHhhk4LleGcIIJRF5wInBdMVMwa51BwkqWfLBJrNLlmh+dmkiVpuozIM11iqntJKpnPLBrmYTIUjhIPtRNK9MVRHuVS332jDRKw5C4A/MXmXIcL8V1i9qvAhLWZB1wXsJtrItE0qY6ZyZNlQEK2SLfoHHmmmNNzRJEDcVr4037vGQFSmFq0fx3sS1fIFSJgxhIqUozhgShXL98+BJxdpIBLQIA4IpQDuEh21Ltz0EhY1siSR2YsJ5To3v6/Bksb28Z0vWNHFjq7CwCVWO09Ql3BB9q3xLzpEI7OIFXz77R/mVF//2rc9N0oGgyYraAgtO2Hr3BGJBcYx0Cl+QHLt4+YkK3pPlD5lCdNrtk38xtvWkFzCK/ZSGWR0OpuIabtqnWEPQ3RDGUUmmpSCmzhq1mygXn3TPu4tvjbOm4nqALx2aUvKHG1vX6yFzUsPCK792JXzUb8koJ77loHKsY8sH64HHi4oHM4MsbyJcDfCFo8BFr/zKldB6+LXnkdeXFY0vFnsK760Ha8Jp5o1Fzf/ziTXiP7NQ1slxPdjaXwSlmsNhULxYIvJ05zhrlPMetOgHnLVC1orzHu6lR9zzJmq5yQOvpDf4fPUFPuAjamqe+Xfo84q5P6OS1lZCsdIzFXWDsYbQsokvJp7nzcI15zjlaaPC+pCMxjBqeiDjNHifC4zT2/FcFDzceHwnFa3MTEVYwKlpAECxWPSJqlCuqO5P4nNj40dHIbn8rSKXjlHlfbFfdwIi7S3kWMYmxDHvEHHfMUeZXtfokqR7R4cxUu4nbRIIZO0+ka3iqMC+y1c3qGOlATgiSMZGYVFjnrszENimFQNbarc0HndB1d2MUYtknFDn1DGkzfQ3vkOJfI9D+Z759IrBJ/468APA/0lV/2sReaiqHwKo6oci8uDXe5y7ovc7xL2m4QdPHD92suEv/PLTiU9wGF7FU/GQU96VJwRpjXdQrC08FY22ZDI77WmoaF2YoGgv5UOURJAWT8VH7hkP831aFzgIFT6NG51wnQZ8EhrnySiXqYPIpPh6OhzQes9B5Xna7Qojy+yR1jERNTP3gZQyh/lwupZBM0kiTmwy/PVrOGnEik8vHFZ2SK2jFaaVs6+ndeQ6VoBNmFunzBuICjHbz+YFzpwVuqxskkxcQS9K8JZIn9RWYIsAA2QvnJkmFUltanxUm9jOasjsUmLpalK2Geb4Hlda0UuPQ6w7WwrOmx3E0eO3wg6WWmtslmHQm44NtYD31QSzGYVoJi9fG3VD4dV9Jx6uK0UpWAfXaaD1R4y2V+PvJvbQQC+fTP34tZM/bDAubHI9Qiuz1SwA7NLlNI0ek1e7rsIHKvCpsYtsiWrad75vTGzCKN7DMAlE3MVvLv4fu7/If+/47+d+q3z1sqiyy8Cj9hAvcNYov3yhbGSLV7Mly6rMpXBZNVunHKEV+xwLjufuQzwVrS4IGnjBNbPUcOBalj5ANC/v0eN7lzIn4nnRQZ+V2tk6/sY1DDlwVCmtU95ewWWfJxqEF+PXNt7E+O7XMxbBMQt7rnBduMNejOt31pjX7swL26T44ZRfjR8CYwLkmEtN6wKtt0K4Epv09snQLd4JM1cEAMuS82VaazoBgBiCJJd9Y8j2NdsT0ZfXUJfHGCfDVUHGiAquFMgGkfYIVnQfh4aYlUo93ShmJ/nWXm+2Gzt2YmtExNuUKGVUKhI9KfXUwZJym4buY+QjjgiUmxFcUyYgt7ndY5hAX2nGZVNBFnGfaNJxdvijBsMuKJGbmgA3OY6+WJqI2tSs9guShAlyeFPDIOdhSmpHvQFhD8cO0tDdmPDexW8u/sLmL/PPLv8eWp/5ibOeX3hZISK8sfR4gS8ebPnFC2u0OIRVHlgmz2EVeDTzRLXz/aqH00b43CLy3tbzfGdnclY4acxiqEu2ns5aBzuKe4TnXgsvOuWkFrxTvrmCey28uUj89AtrQt1rHD960vH2pua8Uz7YKLPiPvFy6DkZZhxUwjZ55rnhIAQGNaBrQ8VRqHgRWxyOR/o5E7fLM7pCWXri3p6GDgAtSzIDjT80vYpCRZoKLuenXu/4Ga+9v63Kjqdys1trTYvqteUX40S2KYJ0e0HHiplpF8ieR9q4JR7j/zs8joosA4lILBZdoy2i9810zdNzk4mlge9ds0dzFL7vxAPmJh+YW0iKMcaGtpZG1Xj91hjfTA2usTEumBjYNv76+8krx3/Q0GLOECeJbkKmjGKhm/QCL6upIQAwsJ1eP4xUs71ityFlBqOG4CZbM4OWV2gc/053oprf+/gtFaG6JyI/feP7P6eqf256JoM1/bCIHAP/gYj8xtUauSt6v2M0XvjBw443Dq/5ov5e3go/xyt8ARTekPvg4Cyd8VX5Oq0cMedg+l0l0+qMpTR70RUom41tXrXOOMqnBDytM2EnL8JZY3zbq6EnaaYjc57WBKzwHcQ6rVvZ8iEdy7hkmxrqsTjD+IBXueNhPccBm9gTyyFynXpigdQmLKkVhF20KQ7eOLlelG2Czy6U1htX5xev6qL0bNDB1jsezxKC0GMd49abdUGfhXkw+NPcW7f3ajChq3HCuwxm3+SA2sOznT1u5WAxap4oXJU1dVQHFnnJJiWuU8+A2afUWk9QnVYXOBwDPflj3UuvVpDOtCGrsnIrMmal0snG8BKSJ65eGhNB8WVKUXh7DrrvAvNxLkzG6qoJTyAJeGXiHHnXmLiWtL/uBPW1kz8M2HPO/DFg12JWTBVZO7zsfULHGOGFu+HCpsqlYL9pcXCTU3yzMyuYXx7cQQ9/K+IoPGZZGaT4fhtI2wNO6orjRvjh48wqwcOZY9j2ZAJZlcbZNPIqdzQSQHPx7XZkVSotn1Exe51jPSCjNOJZhICqsvC2t4BBCncp8fXryHFV87nDQFZ40ZsH93treA8pFIqx8FQWleNFF9mlxJtV4JvX5ttZObjslTgK1TlDeWwirAfbC8BSkeBsevtGejD2Z8x6qXAKu5xNab6o2w/ZIM2VM86wF6gK3aJycIShRsZC1Yt9lH3RHxgLXWCyXhljyIZQqZywKfueHz07y1dTrIauCvQ5IxEqdZAP6LQnu0yjLTNtiGQ8gQ2XKLkgRwzBQVoj4WCCL2byJPI0TkAER+VbIt+apI7epIKz5FkqOl1N0EvH3hrJOYNcXl7/je/6WXzt5A+bUnK83kMk1ZTtRyiid4394YTp56PgzbifeAk4F+jjepqCOddM9A0tSfg4ie7yamr0vbj6mU+8du7iW+PMvck2wYNmYOYjh3XLaWMT1x89vaZPjh86yfzatZ+aSkmVs8YbxF9gEeCNuXIQErXLVM6zicpBZWv5eO54b515MDOqgRdoF46Zt4IZ4Lj2vHU58LnDwJtLayi9vfa8MocXu7F57umTneki1kz62nXHSndkzAv7WW9uF7tklA0rbsx54jV3ypAzoegUXLEj4IjAqb5ClDgNFdZyQVZbg60/vLWmBt2U4jNPk8TKzciSTQOjICrchHYyMblEnG7bI8XcRJeK7EpTp+IAo2n0bIkyWJGrjoAVsxU1HYFetgRKkSwdg26seVVQWrh90WoaIqWxVdAWN3VGoBTwuhezswn2t/JwU+5wvppoVTcpCGOjH7cvSLNGrjdf/a6fxaZ+BVdUssdJ7CS2OBazN/ZglVzEtGx6vo5P940yCXTpmpjsducqUNNGGRXqR/X8IW7Gq6TrP/yu13gXf1vEc1X9sV/vTqp6ISI/Bfwx4CMReaVMeV8Bnv56v/+tDPi7uIu7uIu7uIu7uIu7uIu7uIu7uIvvFN8DyyIRuV8mvIjIDPgjwK8A/xHwj5e7/ePAf/jrXe7dpPc7xF/fvs8f6l/ho/WCK3dhdhVEfnL5hk0f+8yT1FPJ3Hxfc2ChMzrp2cqWmdbUzrPJZpMxSMcBD1jxggUnLPWAR97sgxrv0CJWtR4yu5zYqE3jeuI05QXr+m1lRy9bMonB9Rzx2mQJNAq6eGm4Hgbz7iwy8LEAoDNaHtOmHg7r3C4rYV06vTAKV5m4zcUg7FKBKYpNh7tkXd3X55lKFFf4dQfBzO5P6sTcZ4bi+/mwTayiw0vhD/pcPuuBTZJperQINjG67G08elg7KlexCDYpW1QOtxO6HBjIzHUP41Itfmxi71WeXnOausEZ4+x5DWTpabSloiYSzWeZY1MvJpJJeLXO6FAsSpSMv8H9vRmVn9H4Q4K0BBpaWRJlIIzXUBQL7W+5hwJ+u/ji2Z9g0M3EfanczMQ4yFBg2Kq5mLbHyYZpUpdW6NN67+spnpwj3tXWRfYHk7iHk6p0tQdqmZV3KX3X67uLTx5fe/kf8EeP/yR/5NHCuLHiaDz8Q68bJPajXcM31xWfd4/4MF5TeVd4wD072ZG0opWaThNL8TgRag0sOeMwHTGj5n7dTurGKUOvSlLlZd/TazJOcOGt3Ws9M2/r9LI3ZMtFn+izcpBM6GaEKx/VjtoJ2+h5Uby5Rz4tqgQHFVJE94y+gJhADuynqK13/MhpzVvXcNkZFO1iGEiFQ1s7N6nAj/zhRWVTXpsU289GQb3KGUR7PC8bJzTelFBU7bake+X7aJpfgEGdvcBxs3+upEwQ6toXnnIlJDUUTsxKGoqyuSa8eioCPSbq1TAvVImZYVDEmTo6IG6GkkwFudAITEjHG2TYLZnJ0bd8boI0E/JknDTdVFcehaxGfYD4XaDDr5/80WnK1cXr8hi2vkdYtFOg8I5H/rHxhw36POTtdF8wxeZRoX6EaRtX0rjFUbsbmgk2ZbtTe/+bj196+W/xD9/7F/hdhxWCnd2nNfyx15+QsmPdV1wMS95YtDzbRYpAOSJGR/jMEh41iWe9xyfHZXRcDQWdVduk96pXfvBEeNgk3loFaqdcDfCis/Xy3lr5XcdC6wP3W7hfR97fWUo588qDmT1XUuG4VpaV/fubK3AizLTmsjOLtrmrqL0jZdsLDl1DKPSDShxt5cs+4qmjqcZ3ObGkZZV3VAR2sqNnS8dq0rdodYnDs5OV0UBYmuuDY6KZqSb7fLqKWCgGpiI9L3x085fd+/buLQLtq8fjcWJT3XlesJNAJBaaUKDSmk7ssY2OYmu5F7NiiuOUFUeSYa/srkWlfURkFQ7v6MZwE9nlb1iGOamofPttPzvj9PUmxHhUgRdfoNHSEXNP/i5WRU39GuYT3EG6xrsFwc8npNg0laYI7EkugmCGKnFFfyQXqynVTJevbqlG2+syVEtwDUmjWb2JIxRe72b3je94jXfxKYfyPbEsAl4B/o3C63XAv6uqf0FE/ivg3xWR/xHwDvAP/3oPdFf0foc4zAd8bR342vqAF/wi18MH/Ej9o5w1xlH95QGOZc6Ox+QC4XriP6DVBfO8YCCSNNCIZ9DMTE0Q6ZF+hgUtx6EpCZ0lcDEXZWM1ddRTP2eXI1kN0lxpRSQR8FzIlQmmYIIG58Uv7khmLEPgMg50GplJYLRYTxhXzheDn4wyd4FtzMVyxGCFZDvsTOVUeXdjG7wXnTz5zlq41yR++crRJziu7Xd3yQ63tiTTDns962SJ68wn7tWZl33AS6Z1mcZnZj7T+kDlAkOGVRSyKqeN8qITDitLQFVHLp9Bna8GIFli2JXkb64zEolIIktv/F0x/i5QitcBr4GZtgWsJKDQ0LCVLY22JOLEAQ6l8OtKYRyovq3V0MPjn6QNxyzcPeMZqWOhRwxYAyOTcWrPOArhjKq8H4/fdfqP3XqOIM1U1AKTyMPkYzz6DuNIDNPBFlw9iXeMQjcjVAv2B+CoTF2NSpjAN1/+xV93ndzFJ4v//sM/zXFouBjgashcpp4/dtby2uE1s1nPB2+/xuM5XHSe2h9y0Q88TdcMMhRlcoMrV+LpNOERaqn4gnuNKjgWwU0iU7ukk4p7JY4kyqGvab2b1rvYR57GmdVZd+Pc2sRMzMqy8iwr4aOtra3j2nE95Kmwbj0kEbyzYvGwtgKy9tYUG2HFI9J4HmCTlG00y7XGCxcDNM4xD56YFcVg0V4E72UqWKHwdNVg2t4ZV3gRTIxLsf2qduArK8xXg/F7+6y4UjSL7Atmh10zgGB0jnW2gneEOS8qCtxaGEQ4kZo2BjQZrz6jpGKTttAjssukwrtHoXbLIji3Kw2o0WfTT9YgjkDl5sx1T5EBeOP0j1G7JVG7sktZsjvatowxCvLkHKkKV//jcf/oxyfBmpj7vVJ7aYJMcEkGwmiRUmCSo1AP7NVw99de/sjl+UOYl98r+8lYOOD4xvl/9htbNHfxHeOPnfyv+eLBjEEz721r1oPyxfsDx6cbfKX8ta++xheWPe+sao7rYD7VMdNneG1u62KXheMqs0vCahCCKA9nRll4/VBpnZ3rglI7ZV76n4I1vx8vhI92wo+dDjztApvk+Nxi4OeHGlU7s1uvvBwcz3bC6/PMUZX4+d7ynrZYBL3oOyopRa0TKozzu6gcu2RrufFmfdT4fXNsHR19MmrIXCqcCpcCgYZjHrLTtSl5aF2a2Q2eqohgFQstKqJ0GPGpopIZva4Q8XbmalUK0BmDdBMs2OHxGkgS8VJN571Ta6zPdU7URBJrjo15hjXc3QTJdrrAE0yYCmf84LJ+Kr9kSKtbha+Im5pMY3E5NqeCn02QaO8aanfbn3YUmRqbUHCT0tSVxpo1ztpwfEsd/uNRVfft99IaJeGc7Ts36VM3LdrGZtj4fEEaRHz5fI0WitvpmjLFHnKkhRQaz01V/PX2a7/5BXQXf1uFqv4N4Ee+zc9fAH/4N/JYd0Xvd4gD1/L5ReR+M/AXnn2GGDqepzVZG55s4WnXcc41Th2dbHHiilXOliCBoJ5crDUqGSeMJoKyyC2bZJ5ijbcDoClm71IKOi9C6hSnwlxnbGRLJx2fd49Y5WsSAztWDLrhffcWBzzgUK2zd8419+SQ+23NRR/Z5DhNN6tihQKmKGsHk/2kS2ZzsFETo+oF1ih9Vo5qYRv3/LjKKYtgh9OvXcNJbcnkLsGQHWd1LpNkYcgydSpFlMfzjg+3VlAeVANeMu9va5sWO9gVxdXTkNklU4vuM2yjHaS+KEUHEbM3yJlKfJlgCxFHr3vvO6+m1pyIZMkMOlhBqQGvZdKBJ5KY68IEsYovp/07MKPGa2An9vettOYnj//n/NWL/+P0mWndITM5otIGTyCUwrrSanqcjHnhgRXocznijx7/Sf7yxZ+dHufHTv7HU8HrqKZDyuwU8n66UybXaCaIp5VDerWOduXn7PKVcesk43Q/AR4nwzFv9xwgZ1OjTld3k5hPIRbBbC3emCsfboSDXPGr144/ED3vf3TGN9aBb6xMCXWXhI0OXLvLyRItEUFrkmZq8QxkVrpFo/LabMaQdfKnBabJzuiHfVB5tjGzyZFaa2I2dMePnkRemQlvXQcuu7FRZb9Te2uYXQw9j9qGZSUc1p4nm8yychOHd/S5HQXwhgxOlE2UUYB9aoSto7AItn6HcarqHG0QrvoMWUhuEm4nFQPe+mNEnJQhO2vGnTVjcSvMfUbEnkfKXuGLUmzt7XsKSsW7Paqq9bZXtUGpi69xn81WrXaw8wBK441nuNvVCPZ3cgixIElqndELNLLEiafXTZkSjZw1S/q8BLIMUwEc+FYxu1FQauQYfjzGBlYmFgEZ8ys9PfhhksbJ9/b+0Y8T05Yhb28J3dz0Ev24bYngCX4+7R9BGrp0Ndm/3PTo9dJMisw20RnFdRxdXt1pAnwKMWhiFuzz/0o7cK+d8c6mZruuefv5Mb94OWMVrWmzTdAlw+5cdonWe95YGK93UNiUZvXbayGI8LLLvLtxbKNyr4WLwXNcaTnfrel/2sD9OvNXnwm/JBVfOIhcDJ6/8/CC1+eet66XbJLwZOd42ZlGwCYJu+xZx8RBsNTzpHHskv27dmYfJgXtsQiOw8qo5ePy9w7mYdQUEcBxjwVJlaFMQWuZc5ZOeN+tiXQECdSM6CVDXAVpqbQxz+2yB1Ri+VNLmQ4Xh5SGGTusyXRzsuowm4rqxtr1U/lsA4esNgVWTGHEWlfVNMn1gCtCW1kyveZpAutwZDdMk03RTAjWxEYcwdUTbzd4Q4HhmKwL5+6Ez53+cb7+8j+cHi8UtNiQrsA1hJJDeAk3OL0jv9eEog4XXwHMknGM2963RfxSI6QdckNcaz/t9cyqU7NeYyhN/Ja1Pje7xZKrVX6Gdw274cLQehrxk5ioFdR3dkTfZ/E9sCz6rYy7ovc7xD/4RsU/8Pu+xuJ/+hP8yz/Z8YZ8hcf1IcugPNspV7qZunODdDQ6m0RlIpGBgYEaVcWzFwzKZNbs6NRzIAesY2IRPF5s+tJ6gxZ+tNux0o6q/Im8BjyJQU0MIZNK59+k8FFTWJ0FBxEudcsjaWi9KTCm0YsRu98iBOoysam9+WGmotQI8HAmReBF+eWLPG08Hjskn3aes8aK5Mt+VIIVNnGEGJotQVc6vl4UtUoTQTmoEpeDZ5sCizCwy0LMZr80To0vnWOXhCHb79e+JMrZrnkWHJKEPqepqM9AQKgJ02Fm3pPBfJTLdDSjCJmAv9WBtYNqnKvIpMo9Pn6tDU4dS2nZsZ/S/r6Tf4YjecQiL8rf2YSGHMKMBlcSbxEhaWYgToJEAF8++0dx6qzAkeKPiwloVcwnAbRUJtZTElysD6J27Li6IcCVqWXGJr+YhLNcgVfadeytHFQzXbpGybcmSHfxWxd/7v0/zZ/54p/h73n8hJ8/f8guOWviuMx5X/F0Bx9tzErkvB8Yyt+5ZkalNQMDW3oqAqM4Xi+mGn/VWwPpsPYM5QByZdKaAafw7nbDSjaccUCfMn12HFcmBnUxeO41yntrISWlKtPb1tv/cxc47yLrwfGDp5XZlGFbmjWetKi2l/VZhKE22PcCnNa2+gdV3lsry8oVNIhBGFe9iVYJpiD/ccBUkH0hHz5WADux26tgIniHIfGNlU2pxvM4Y//2Ytd0WNne1+fi7wscVMpc9yI9Q7bfGRXsRYQg9jr7XNMnxWWhyz2I4UsabYtNXSxUgTm9bsybsgi3qKZpnU22ZTg69sIznzv945a4ckJykU4NjpzKO9P4Q0brtajmeftxKsLB/Eu01fHkPABMcEPvG4Krb/3OVESX+5pV2WzaJ7xrponLXvxmhHxWtwrqPq1xEoj5W8V07uJvPv6zi3+F/+D3/Sm+fHLJZ3/3BT//n3yB+01is6150TU872yxvDG3SW5Wz0UfuRwGZr2DhTAPmW+sw1TMJoWL3orb68FoTue9MvfCKsKrM7Mu67KtjZ+7cDyaWRG8S46HTUREedk1HFcRCNSFNjCu2eMq2xpUZRFMsX1UbleMUuGEWwiPqjS5R+pBxlAey8ru89ZlIqvSSs1MF2xZcyHXtJjHdptnpLI+x0gMhbI23IL5Wp5l3x/le3Syo80zdm6Nw0/0JooquWdPN2i0nfKGRjyMFDJNE61C1BlyTJgKX4djkB7RRMuSHdYUS0QqN5soDmOzHLdHYVR+dmsCCkxWhbt8Of3s/tGPE/yMmT8hlgbViNIYYdVjE2ykTvV5hZdgzTIys/ZNYtqQ0tUt94px7TtXFUXoGw2xItpX+ZakkZk7MbSdbqzYZrRVDIRQE9ycmDc4VxFLQT/CuIe0Judvj4y7i79FoXpX9P52ib/nM++z+Cd/iPzKK/yTn3nKs96x8Mo7G/il1SUbZ0nLYT7kGs/7+ZdYOoN8NGW6N5Awo5r9hrSTNZXUnLBglxK7bP66i6rGwWQrYtuqn+DRK3dNJvMybTh3HzDjiDnGAWtyS5TIm0vz4L3HIW3xoaxE2AKNeGJRdq6dm5RVR67ayJsLzjrAh5XSOFiVc2JTIIl14dGlDKkop56YBSOVMz6vL9DJqDD35vtZOeMCN65I+4tyVCUuh8DlEHBQJsP7v8E6wjoqu2Tef3PgZad0yaDWfVK0FI024R15zzCXGhS20k2H3UBvUCLGjqujocKLYzMdBMbQGdhPxz1WxALUhPKb9vf5g8f/CyoCDQ2VVlZss08GRw51JR5fOh+VOBrs7zGQiWRaXTDQEUpxHmgmWGNiYNCN8cfxxvkpnVHEEtEur4h000G2S3bgxdzvDzep8N48e0dvtTEZBuji9a1u7l381sWf/sK/xGszZTtUPF4ID2eBR23m7csj/tKHDS93iVlwPN8laud4h1/mmFcnmH2tDYMY9K0rZ0x09rc7TzseNwuGbL6z1zFyEAIZ6JNNdzsGZtqwCBV9ziwrYRWFD3aBpztbx4tKCM48cfu0R3K0BY3iXbEvwdZYXya6c2e2R7ss08TVGlV2nV6Umc/m+dvZKvjG9Y6zpmZZ+cn322CM9jxjKVY54+r2WYv90Q2vYNFJeVmcFb5DhqddMERK2Utaf9vMYsjwysxoGNtkrzEqRnEoXN7h1v2tKaZqk7GkMA+OmC3ZDnhrcWpjCa3Cyq3KdMemT60cseLpBD+8aSfi3MwQHGReP/mjE1UhSEujMzrdFo9PmxwPusFLRS1LIgZLdMGRdJgK1lFJeVRnDs6m+zdRIoKffH1TmQ6pJKAh5s64u4X2YHzk4VZhO0IWVa3wHn8+XkPS7s6L91OKv//0f8uf/b3XvPbaJeLgR0+2HNc9710f8NPnDVGVRYBBhdfmds6/vekKd9bW53vbwDrKjTPX6AHbqBxWjrevE7MgfLhWfvjMcVxFNqliHYWDyjy0T2qIatofu+R46/KAZ11lDS1hygcM5RJZRcdx7ak9k33YonK87CKqRms4agyNdj0ojYernSFLAGahoEpqc4kYssGdz+OGVmqO9JCqTFIrrUhilLCgnoo5HQNznTPIwFa2VHobYeGppvOyopoew1Mho21hUWQeY3SJ8AS8hvKzMmBASAgJJji008DAQHWj2LYBhu06LUuyZLZ6aZxj0l7F/YaV0ZAKR3ikI0hpbpciNMlAzB1nhz9qk9tyv1EfJJWG+bT+XTM9z9goG4vbnCM5G39XpBDkbuQOItX0+KqZULi7bXUMGJy5cvOiaQKVzOnUpsWmbbAvwPew5tv7Sc79nUrzXfxNx13R+x3i5z98wKMvfxH39CmDGmz36U5MyKUIE8y0xeONx+uO2ekVD/k8jdbW55eBTjqu5SVH+R7X7iW1zhik5zrvWOaGRrwJNmRlFUebDkeTfZlGmkDVMh+wcWvedr9El1dUfs48H3CiR5YuqRWDh5Vw1hinZhYcfVJ8FGpXTTy1k8asCZIqUjx1I3Dc2ATktFYGhYvBDsTR9P5e4yZ+XkbLxAQcOtkgHFWJoyrysq+ICo1XapdpnBW/gpJU6LIY3zeaZ+BQOMW+WCnsktke7ZISs4nTxGwHbZ+UQZU+5QKFciX5pEyKMxsGeiKd7Cb+ik3IiwiMOoYCbao0TMCnnsyClptLw03Faj0V2dsCnx4n8WHslpbO79jx7TD44VLqSWgsY9c/PpZi9icjcmCEZY+w1pYlg2wRHA3zAoPa3OLujpHKwZm0m0SuRv6Po5pgiKqZLEycGessZw4XX7krfD+F+Bff+uf5M1/8MxzMOnbJPtfXUXjZV9xvhZjdvrGUBd8FzvVdDuURg/TW7CAyuB7zp66ptOZVOeVcN/Q5UxthlIMQqL1wPRgCImlmRs2DpjUunTpShlVUznsT5Wu8cK+1z+zI0b0ebIJrnH+DFUZV1kOmS8KDmUMQXm0TF4NjEymidSaQ571wUCmHwdb8eW+P82AmOGlIqmVvseR2FKsam2Zgk+TG2+1DFuZBp+mRoVZKo6uMgddxT4QfPYKrYqFWKIMkb5ZpSQ3mPO6Lu2TPlYt2wCJYoZ0U+mTevgbdHifAjoOqYtOb5kJDvV/3RUsga8IxZ8vlJEaVdTDhOVdPieI2n9PJipGyYMoLNv3dcI7TvY7AmAw2zPFSscp7lwaDQ9t9b0KVRTy1N4uTyTLNmU6Aw03c4ZG/G4p4jO1Jfkp+xwnveNvNptmUIBcbFNXMyfKHOF/9jd+SNXQX+/iPX/7v+b/9yJ/ms185R4JQu8zpfMtHL1tem2WuonAQlOPKCrJfu7IG+twbzWEdPUOG8155vo28urCJryp87sBxNSivLz1N6T4dV4knu4pSc1IXTr0v2h/HVeJFH3hyXfOit9setZlFyHhxDAqXgyOpcD1kfBTmwZrsGZl8tbOa7++zXabPlgGNRTpArUalqp1x8EE5aTzr1ODFca+dcdk3nJeC0KmYgB/jmrFm8wEtLxWy5GnNKZla92JQY+QCiQamInk8Z61AtkLZqy96IZ6NdmSUuTQTagcs78goFRVeA53YeTzTOV2hwY02S4GGgW9FSqjmyaYMIN+gQIw+vAC7eEFS4w5758kaJw/cXKbDop5EoSWQJ97/KBg1cvdtLxmntwfEdI0rFkUmKjXHSaAKZhkp4lhWj9gl2/fq0au4aNGMdojjexjL+9ndmCKPg4Ncci1VmzbfwZu/z+J7I2T1WxZ3Re93iF+4bPgj/8q/x8/9V/dIesQ3V8qL3dhFt51/Lg3POafSmjf1SzxzT9nIdUlMrTvYy5ZeN3SyI+nAob7CVrZklJkvQlNi3dVNsqlv0sSmeJL1JE6rhmHIvM9brONTjsObRO045Zi5D1ykLZ30vLsJfPFgxjomdinxpBtVgi0xXMmGROS1dI8Hs4qrPtOnxLLyKMrXrwa+dFxPxe5H28xhJcw9HJZO66gO3edy8ESD/VUOnLMkcZucQZhDJqrjZR84CHYt6+iZF65uVKhdxqsQCnTn3a2jK1ArpXiFqk2a+wwXfZze/6Q6TU9TmZWMr3clBT5Y/ovESUSq1maCO2XJDAyT2ITxWwy2NMKQHYFq7DqKMJTDRsq8xMKTSFTiCdiUrdM4XdMmD7QSUHSaSN88DAEqrUkSJyXpkeey43KCztszGS8majfBDbUkyuNtXhrSx3w/x2R7+j7bZEhucH2/m/rrXfzNxdMd/PmvvVpQCiYi9eEuMPPKJtq6GjKcd5HX8xd5z32Na55hKp8nBBoCgZ4tiKFMTtpAG5cGBywT0CA2qQ0itN5xnXqOfDNBiR0mRBMH2MSEiHC/tWlu7ZXVYMXd1TbxxtKzjpldSkDFeZd5OfRU4njSJSocSVs+v1R+5croC3NvgjO/dhX5gcNAJbBOwodbOKnhtIbKOQ4r5aLfC145rKC0FheT4FRSE9kxv2+b1MZsSbIXoXEGfR6yTXWjwllj78VFD+S9QrNBoQ2iuUtwNZh+QeX2fOTx+UcV6aQ6NQnHIjir8QsDjlebOavBxPRsIqzM1TiESSLj3DpIQ69bnFQ0YS9alXQojbJM6wy2PNIZBuloOGDQHYNupsI00rGVS0RNmhCx5BylCN2kCUo9QppFPJpT2S8SWQcGTSaEo0z7iTUP81QQAyAVXkY1Z3tcLQnsKEQzFtRJI17yranUXfzWxy9dBf7QN+ZkFZbVwKorOhkhkdRTO2vgPO0ChzU8TC3vbTfEIdP6JV6E59vIJkU+2gpvLj1VEF6fJ37lypWmkU4F5y4LLzthNdiZnIGXHXzlKPOsC3xtJVz1BlH+7CKTFM57zyraNPhlp7yxsKb01RBpfMV1p7zoTF1+zc5EO6/v83DuebZLOIRl5amcoeAu15nFUcUqwjurxCtzz3EjKC1HtRS1aM9QitdOEwHTOjCvYWcCUyiN1nTSlZLW1mAU0+LwN1LjgKfBhJpGQcwJ1o95pI/RyY6G1jRdyCQdy2m9Ra2KJDpXRKeK1keltd1TMkEdA7tJWbpyM4a8nc7wjze7nRt5tIYutDVqhWLCNkvnAn1eIXj6tC63J1LuLX/IW7xr9v7AOZb8wOEk4F1NVYTqgCKe11OF5bTHgPGLrcgN0/2idtRuzigCpqT9+yENOefptd2ETivGC7bi+q5c+b4MvYM3AyAirwP/JvAI2x//nKr+ax+7jwD/GvD3YhSwf0JVvy9c6//8R0+I//4PcFAmmZtoC3GVB65KQbXRjpoGlcxLd44r05i5LrmWc7ZFZdnheKnvErXjHVmhmtj4B4T4Oh7P3FV4EbYpcs6KJtdETGW40Zoh13hxJCIx97yRf4CvuV/gHfdNap2x9Ve0umTLlrPuNbYpMvMBElzrzuT0ETrZsZM1q3TIbPDcawPXQ0ZRXnQDg2a+etFz2lTMg01GugJBSoNy0jDx4BSbyCSs0XM9CEc1LFJhuoglq16UpI6LITBksz46qhxBbNpyrxkYsmOdPEMWrgdrACyqPVXAicGah2yJvBfj/HkVKieQHYPmibds/eFSIBYOTUVdoKJVmZolshhBOAEJNykX3yyeW6lvFdZd6TqO76mUCZNTswAICLXzk7gWuoc4D4wcWnv88W9sz5XZiXU/RzGMgY5BOga1bq/xYAZqljSyZJOMr1u5mdkaAZWbw2RJ0BjEUm8XsjeVH8fvTYCm+nWN6O/iNx/fXHWc1C2LAJ9fZjZJeG8NF52JxS2CMAuCEvjF7htEOoa8oXZL1pxzxCMrRmhY5gMGGXh7e01GWUrDoJnWBWrnmHvj9170RrLIqDXDcuQgVPjsWBcV6R8/W3BcK1+9zPRl0aUMz/oti92CdYFLr4bESeO5HITWeXYx0pN4vrNrf2UG570JRlUO+qS8dRm515oKdFblorcpalJrYp01Rl9YR5siB5GpsTYqUAP0KqhTWmzPiQVmPKZ+o+XQcZWJas2DjD3m1bAX3DJRvLHYHmW/bK9SbM85CIZ0uSp6dzFbA24ME7oyFengbOK7rCAkYZ0iA5mu8P1NuTgw54RreUZdkuckwRLPG8DrqBsGCabRAJNVUaUNAza5CtJM0ECDFPtJ6M5S54L0KMJaQ4Ed7wvV/fMl7SY7kNYfsRle2FTYOTQPZVpsvxekIfhmsk/Lsufa5TIVSkW0JuswqUPf7SefXvzF82/yYx++wpuLNa/fv+Tp+ZJt8lwMvjSE7PN5WGU2yfHVi4GM8ko95+k2Uns7NxvnOWk8Lzvl0Uz46Rcj11Z5vlNemTued45vrAzRddklrno795a14yraOfJip1wNkT/xpvCo7fiZiwXvrY2i1Hj4+nXHIrSshsSby5rrQTlrHavBM5dAjoqS2aTEVe/47EHN822emk9XQ2SXIx9tPYtgFK0Xu8xBZToo6yicNYKqQ7XiYjCROUEI4szhoegIdGptZaempDyuw3xjPY55QKUVnnGqmhnobk2FxylvwHOWTwFDnyU1xFdFKA3uMjiQSJI4FX0394D6Btx668b8wQrEj/N2R4Grqignj02n/fWP+UYqeVqeJrPj3pByX4rfm83w/fsx2iCNDSzVTFsdkb1pl3TxmrY62j9umerWMuOAB/RuW6wQI7XOSmNhoJI5sShGb/K5PQdu4hCn3N/SHQEr2u+mvN9nMR6afxvFp9k6icD/UlV/RkQOgL8uIn9ZVW9iJ//bwBfK/z8O/J/L17/l8T6/xN94eY8//rrw8xe2yTqEKgs6LOgYJsuKe+6A5ynw1L/PSX7AUufMdTZNGwfpuZQndOmKiBU2C3ePlaxpdcZGt7h4xIVueOE/4lF6zKj27BAuU8dT93TaFBoJXPcfcM0HHNaP8Wr+sUf5hHe7azrpIcFnwikaG2Y+ELOy0Rk7WTMQuR5sA60Lfy+r+fVmlPe2Gxa+4tGs4uXOfPQ2KXHZC58/rABlPdik5LCyzm+XDW50vxYQgzRXTtmMB2Lv6JJ1fC05hdM6MmTHoKbw3BWJZ+9gGey+550lvttoUOZ5sK7v1WCHoRcx4Zxs3JmhcOgWOps6rJ10ZeKCTTQmWQmmgydKpM7Gm+wnGx/HoKlAf63gpbxHmWgKjTfWezUVkfZ9KHyecdIzdn0DDhGh0YqOzlAADAzSTQfBCHNOOkwwJlNZNj/AbT6/1XEdvT9V06TSOsIMxxBxaL7dRZ0etxxqy/kXWG3e+k2smLv49WKXI0e1mnJw4cP3CbYpM2Tzsz4Lpkh60J3xUf5V+my8p1P3JqFwxg51iQmuVSQSG9mwZQcCx/mA6xyBOX3ODGT6Mp3Y5UgGVjGSNTCUz88mKkc1vLPZcVbX1M7hndKI58m241p3rHpr8jxeLvnMsjUl5I3wcujok/LBpiiuVmZp0mfFFz/fb656lpXn8cJz3u0bWusBfv+9xJCFb24c67iHNneFR2HevLYHtL6ow3/sjB2t1qyglYmCcZMucVwb5HoVbX2uohXqi7C3KxphzZVT5MZjjJOuebAm13rIhXIBMv2OJduOiusEXUGVhElDwOMJE6xwhBjHvJn4dlompiM337slQSs62Uy+4QfcL0J3aUpqJ/CmwO5Gg6vPZney9xN1k5Iq2H4QxDiAvW4mjq/gJxuUMXLh/wVpEAYCZisyiuLEAo9E90mziONg/qW7wvdTipe8x7/3zmv8iTfnvJavcOVDO3LrDwIcVwNQMWTHYRV40a3pcsNJY5/LRXAsK1szlRe6rMwCPN3u7fDeW2feXBoVIGnmYug5CBWzYPf4xrWtSUW5TgMfdXOOqsjPPM8MqpN+yGEV+GibucxbfvlqoBbP48WMB7NgXP7tjKvBswjWsHtnFTmuDXZtu6Ktv69vr5hLw2uzlvNuYB4qhqxcbweeb4UvH1dc9Moux0k4cldQV40YEWmUlooSJ6gyFMVkyVDO+rEInWlr9nEacGLT3b0A5p5SMbpIgBW+O+1pSqt9fM4BxamjKnSIrWynQrqT3Q1YrzWbsmYgTrZkwNTAGlEbYy6QNJLz7Smwkos/eOEb60CiNL9v2AuNjw0QXGuqyhrNdog9P9dJKNZkaZrqjo9buTmNLIs/sqOVQyppC8rOxL2MWtaVz+ploV45079J22kuPk6q7bUVsbD6Nbr+/U+wOu7iLr59fGpFr6p+CHxY/n0tIr8MvAbcLHr/OPBvqo2+/j8iciwir5Tf/VsaH5z/FP/N4/8Vr84858OMPgveGTxmyEqdDRJ8zTVDnjGjZigw5jMOuNAN9zlioz1RGy7dExp/yJA3VG5O0oFeTFipkx0fTCIJcO5estQDZtoSS9LqCdQyJ2nkXXkP5wKH4VVeyZ/n2ploUScdlVYc6oJInrzwtilypTsu3UucOs7dS2I+Qoc5B6FwtDCxpYezig+3xWapiOJU4niaViyl5a1LeGMZLKlV4Yr9NOasYRKsan0mqUG3XxYuH1iCCWV6rMLl4Ngkxy6bVYuTfUHgscTZA30y+GYoEEUH4MzHc4iKExPZ397YIHeyLe+LTUmM06u4ouI8RqMNGaWXznh00uM1FJifYyCjqkXefwRKuQJ9lmnqm1AGTTjdT4Dt/jYZtvc50zF69wkLndHJDocnaEWko7/BdzE1xMoUFcW8fcfbG394CxKU1A7OUfUw5g7n4mRRlNK3Tnxvxh2X99ONv3zxZ/mP/84/xTc3Fc86U0Q9bYRNtOSxz8o3ryNehHlesIkvLYEJsHVXLPWII5bMir/lVuNk05EkMtBzXhInIrSFg95Qk9Rg9b0OLKShckLOwiUrroYZu2vhKFTMg6NLyvu7zZTQLQus9axuJhXVXYLrYSAgvOx7NslzUHkWlfHWtxFm3vHG0vHWpSm0jjSO1hu8+sm2pw0NP7DUG1xepcEK6LoI4FVuVIqGLDAkmdTgg+whz2AJfyoaDF2SUvSO3HmbNg/Z4NDbqPhKyGpiViOcMylsk4n2raN9nzLs0MJhlEkAEIrVHCbCVXul9Q1t9DxP6yKEY7y6ruz7WzYThxZnCezHi0wRz6AbBkDUU8u88O1uF7rTREYqE+JyS7psPqOehiGvv426a5g8OX2xRBM883DGLl3e4tvFwvcH20+yWCMt68AuXhiG5cZ13fTovGuefbrxzsu/xO8+/Sf4h/Qxv/DBfbwoD5qOq8FxMTiedp7zfjapns+CsBquOUwtTXTcaz2LyppCSYUPN5ltOSKcwPNd5M2DwIfrzDsra84Z6qMiF4j/yN2vHawVnstLnu4WrGMLZF6Ze3YJPlj3k7XZqZ8jAq/MKyqnnDTCejAE1EGoUIU4amfEMulFiZppxONomDsTq9tqpEsVu5T5Wv6QoIFfebnjJJ9ac1tHipMUekcGmWTcAKaG+E1xqlh+Ntf51DwXtaFDpYKoQ4sNYqKISSnstJ/yAcDU9kUmWlFGGaQnElF2hbqyJZMmZEfUruQXW5LuucOCxzmmQtWVc2AUtLppE3Tz+3F92lR3vO126j+qLgfX4txeoG6EVnvXcOgfAVaoJqxwXrgzZhzZGeQilTa0ec6hLlnJho0zulUWR6cbnJjqddSOSDftVSl3bIeXt6HNZQI9Xn+3+1teFtzFt4TeTXq/XYjIZzBj4f/6Yze9Brx74/v3ys9ufbpF5J8G/mmAN95441O7zo/Hl5ZLnnWJJ1vHRZc5rIWzBp5tZZJ33+Rr+nzEmr1g0ko7XvqnrHRG77acpgd0alyKxi0ZxQqO87EpNGvNuXtJRT11yMDUgSvEFAfzgnP3AffqL1DR8Cj8Ll7XxybCUvaJGQ2nwbzmBjXu3RN5xowZg5hEv8NxP5/hxXGlO2ZFbXC0TDprhUXVcN6NnUODDW/cmkEHVrFifdny5nLGJirXg/Jo7mjKhGSThIVXtslTEOEcVfaP6+ioRDmrExeDx2StpExnhD7bBNgELewgPqgsSfXNaIVhSaiIzU+7lHkW13uVZtkfWCNXxxQT953VsRAdp7xQIE8SCRpsLibgtMJjE9vKBePsFd7eXAK7MrkdC3kPbAuPVskFFuXLtSipHJEjpHkM4wW1XLvzycbgph+vlwAlqR1hTje/ptxNFihD2k6QxKwRzcYRugl9Gr+OohND3n5bH9DfrvG3aj8B2GXHy14470vjpth7hVJIPe8soXnfvTVxroe0Y+cvgdfZaMdJMMhZjI7r8lka6Gl1XhosgSt3jc/H02f9Ou/oseJrowP3fc0uweers2lOca8N1N4mmpd9zSr3nIYW72z2sEuZZ9ui9u6MlwvQOEMunHeRZVXTOBPBcgL3m0x76nnRWSHbBmFQgwyvcs+zbc3MOx60mT4LfYJZsEJ15M7epDlUzqyFxoR7HgzSfB2dqUkDu0xBjij3Gium17EoT5fHmgcrVLdpnMoY6kXVRK+yWsELth+ZmI4abaFMdoMzcb3RN9R8zk2cp3GOkMyvs1MhizLXQwY6FnICwKU8KY8/EIpHaNTdvkAdIcTip+IUhUF3U/I48oFHvq/cKFK9zKYEGAwmOYpajYI3Ih4xMzyi7iahrel3CmKkKgrTUTsCJpIz5O0Eb4abKqvxdxyf92/VnvI5HvNkV1G7wMN2oHE2ZzyqMpUYxPmDnaf18HQ3MNCRsWb2Mhm64kdOjcZ0WFuT6HqAiy7xA0eBTbSz68PtQOs8rfNENX77Ujx1meIeVMIvXW75cv0Ku6TMPDxeuiJKKZx3nj5lzhpPqg1+3SXlw63w3rrjtXlNU1Tiu+JesU2RpCa+dR0jO43MpeJLhzOuekVEuFc19NmQFz1b1q5jly8ZfHFjUMdCj2jKxDajeIxaBJmgYZruBhqCBioq4mRNRPk9O0dnpUHeST8ps0+8dzCUHXs02WhHFCUS6SYRynEtmjXQllGIaqIPTNDnVJraaeLs5jxMk9CbDS1RN01n7bnDvuBNu3LfUvRO6C6HcwGHTXObcMioJwCwDPenae299Igrd4kvhWzSgRmHLPUIsCmz4Kb3utGauR5yzQvMbG2YqFp2/6I2r3EqeMdr3E94LS/9eIP+Lr6P4m8zIatP/WQSkSXw7wH/M1W9+vjN3+ZXvqVtoKp/TlV/TFV/7P79+5/GZd7FXdzF75C420/u4i7u4rcy7vaUu7iLu7iL7//4VCe9IlJhBe+/par//re5y3vA6ze+fwx88Gle028k/vX3/jR/9PhP8sx9wA83j4vIijAPnpjNXugNfYPTuuYg1fT5DTZyzQvXsc7PWWMwtGvXcCivcC894qV7yrU+5YD7tFKTNHPk5xzklnfkA+7l++xkR6M1AceWniSRtax5oJ+ZOodzPeBKN1OX8VjmnNQ1V0NkEQLvDZeF/3fIyhkvcKZzvPpJ7OZRdYQXYTUkVBwnTWA9GD/Hixj8rwhANNpMHnSCwZkuU6bLNv2ZB7uldo5dMsN6L9A4pS2qzuNIus+O1qspsOre8xPgpLYJz4teyjTHpjBVgE0EX+ydRiXaqFoEofpp0j7QFf6IcelGMSko3VAZpmlwLNMvT6DRllzgoar1DS6cCY01hcPdqU78XIM1JxxhUnVOksr1mIrryKkcw+EmK6W6WM+kwi3KjPyWG4IzBd6OVDbRyd00kck6EHOPlzC9/qnzWzhAuTz/CIe6LWYTJ7/Nu/j04999Gz6M5/yegxOCg5nY2slIgfdWtF745uYRF+4dUuyp/YJGluQijDIKPpldTksi0cmOgGcrPY22t/hmXip2ahOIjVvj1PFkF/jsckYle+7rRZ+pkrAIppgaUsMmRU59zUf9jpkEnHg2KRGy0HpbY7UzWsJBVZWJsMGU77WOi8EEocAmpzNvU9EPdzuWrjaIYrI9IqlNSccYO6IjdLkqfsCmHGuqzV4MXWJewDZV2kSb8qYM8zJJv1JHVKUr+8nM2/Pe7Lo6MfqEFKG+8X0xayS7QyMy7Vvj5FkKJcOLqcR6ERrvOEozomYDIhcBnbkuSGJ83MYZqicVPr6tez/xZIM007re5UtqWeKKON4IhfRSkXSYeImBZpr+TPZsRVl1nJibIuwAUuEUkgzTvmK358Ix3vOBxylO0o5NWt/iDY7TpPG+d/G9i//w5f+O33fyz/A/ePURJ9lxv+04jYFKlFfnG6I65mHGL11VHITArF9QiaMSN9lvraOwy6a4/KI3xMl5J7ReeLrN3Gs9B5XjxS5Re+Gg8lz1mUUlvCw/e7pTvnS4MN/dIKyjcfCfbJXDCo5rR5ccV0Pmwczx4br41zvhpK646O15VI2GkDK8Njf0Q5e0XLPnlVlNl0ygaz1kai9sY+apXrLgiAGD0GTSBBMWMfpHm03waavdRGWKEgk05lNLsJ8VEbgRVDyiswIej0fQyflhPFsrramo2Mi2IMzipF7csy16HTuyGirD6Eh7e8GR11+5eaEs2foekVzmkx2nNT3SCETdhKoYrX2Mm2uTaXfrXHe3vveuLRZEzYQomfljalnS6wonFUc8otaag2xq87XWJAZaFgx0VDTl9VfMaIrnRGYlGxxiitSS7bVMr9e+KgkngVX3ZOIOw7ef6t7tLd+ncSdktY+izPx/BX5ZVf/V73C3/wj4n4jIv4MJWF1+P/B5b8bP5r/CgXvI64s3UYqNTy2oCkkdvhOD3uRITcOVe0mrSx7yeT7kLVqZ0+SWo3zCjJq5HpBd5gu8SUJBPJscOfAVTWpZupqUE3WBmwZ1HLJknmcMRDayIRJpdcbObYlEaq3JzIvKoQlSreSaL/rXSao0qeIw1MbtZcdl3tJqTeUcx7XxT6WIYIjA1643DJo4dI2pvfqaPtV4PA/rGSeNn4rUdYqsU2ThAyLmzQvCG/PCvyviVHOfOQiZVXRcRse9OrFJjqhSfEvN8xcKnNCZZ1/l7OddEnZogVbZdY6YgIaKVYEDDfT0sqXW2VT42hWZbdEgwwRt1nI89QIOgzYDk/iMSiYqXOqWWaoREXo17+U8+laWg/HqhsfmUCBOg/QkremLaEOtpvTdFNXHRKSXHodjLRcFOn17w89kcu5I5fPQpatb8MHRh2+M4GqGlG7BnMbXD8Vns9w9JrMoCK7m5fXPfcIVcRd/M/Ffpv83x+5VDusTBIPMHtV7254uCY8XwuvrRzzxB6TcMeQtm3yBymMOpGURPPNgXr/3woyL2PFIH3DNmpnOCre/JpEIVDTiTf24cNlbneHE1Ie9N7GpUdV4HRPbaLzc1jtiNguSa9YcuGO+dCS8v6mYB1NrXcdMUkVV6JPB0WI2GsLof/uL51sGzTxqZsyCcNwIbg3HVcXvOYUgyjsbz3FtC3rIxt8d7YGSUppqJlTVegVMO6DLwjqO/r6mBN1nZRfhpDFroj7vbYZUYV7tvXZ9sVsbYc5ghaxi72/KJvQFez9fJ/vfh1IYO9uQRh4xzhoHqwGiZpbSkGkYSCRNdNKz1GNWAqJdaXgZCcKXtT5ya02twJEZzAhPWrZ6aVZFmF/vyMkbrVd2eQ+qGmGDE8ev7H+jTsAmFtXmcvuYBNtrGxXtMzEbNHGE3ZeL2z/PDcjlrrvJWrqLTzO+2v8UXz74B7jX7pjXA4tqYFH3zOc9u64ykKwuGHLFrz4PXOYtB2Je9Pda4V6TJ50M38A6wVnjebazAvaqV85a4ck249XTeHNPGE+dk8bRJ+MGP90q552tp5kXLrvMZQeDKvdaz1VvDbtRK+RzB7awn3dK48ylAfY2YYtge1HlhDnmP/716y0RZSaBwypw2gbevXY8kAMcwkn1mJ/t3578bgcZ/acdQ2k4JwajDEwpsPnmWuMpltdnGh5jeA2FomQUkswe4lyprZMd6+IKUeC7Ukpg3dGpCcvd5MLfpAE4HLHYBo0aHWOhe9MDeyp4CzR5oi1NBe+es5sm/m89Nb+8qycahHNh0heY+zOWnPEgP2IjW1DYyIosmXM5J6g1BTyVCXkVX+GtbIA5qBXpK3dNYmCmC6JElpyx1vPyLs8m2kaXN9OeYq8tMtqf3dyvRojzXXyfxl3RO8XfBfxjwC+IyM+Vn/1vgDcAVPVfB/4iZlf0a5hl0T/5KV7PbyreCD/C76pe5apw1IZsnceDSni+i2xSmqYqr4RDXupTGm15VU7xGnim79LJjqUuWMmGVmfM0xwfhIu0pZaqWJsLJ3rEPHgGbWidZ50GaqnMVkDMhbWjJ1A4tnRFyTNzVtXlcHB82G/AweOFbcRfvUo0ztFnR6MVDuOurWNE1TMPnnWMXPWJq97EGI7cjK1GavGkQoRzCIe1Y1GZ8uqQlY12OIRHlXX8rgdLMB+1lpyaIqolpxmrU11JWPvsSIXfJ9h7O05VWm8J6pWa12afzEZkKFMW8zPeqySC8RrHjmpkN1l/hHIgJQZ2km958CmZXrYmYiGzqYCUcuA5MZ+7VenoDmVKPJRitdGGjXSTfx9wy1y+k76IY+2mw3BgKEquxjles2I0hR8Vmx2OXrdmN3CjExyzPe8oMpGzGSGJeCrfTtfgJNzqmO4T2v1rT9qRcnfr9+7i040v6+/lc/MF1wPEnAnOdLpPGuGiV+bBTndF+bL8BD/Df0wfr0m5I7df4aVeo92SL7UzHs5sTfcpcDUof2OzYq4zmoJS2MmOV4Ipa57nzEqu7eduyyYHsrao2nRzm5Q+ZQY1ftxpU6FY4ft8N1BpReMcX1j2PN3VHFdw1Ruyw4n5Zyc19EvtHVrsia5688qcO1uDrR/thCxOq8S7WxPGe9EJB8H4wmMh/vGQwlMUjPMP45RVCTcSI+9gl0zgTm6I7bWeYn/CpAi9CMq6LN9xuhvEvJTXMbMuo+Zl5fl4jBNfa9RZ03GMkfcb8JPolQMGlalht5G9wN04AQnSWNGq1qTSouhunL80TXIju4mPK7jJu3vIm70CLONUZc/9G5Vfs9gEekSKjAmnK82/1h0i4umKgrj9bia4hiHnqfl2UwUe+Nh06S4+7Xjc/Ai77NjEwBsPL3h+vuDk3obdumKx6Hi9jlQu89dennDunuLwdPmMdjjhaoA+V/wdh8pRlbiMgc/Meyqn/OJ5jRdKg83ELd9Y+tIssrXS5cx7K+W48bTesYmRxtt9PtpGXg4dW3q+ND8mZmVROd66HNCiFn3aKJUoX7/OUHsWlaHpLvoeh7BLmcMqlAZXZD0og2aOQ4N3phFQO6jLmV6J46x1HOyOwMFOVhMKIUqcPHWTRFCbXI75gJZSt6KatDXMbcHQFYMMZN3vAZMlEHkSEx1ViaOauBRqTauMFbtgNj/AVNjZGk8lP8pI2uLKfqlqwpQ3p7ljeGe+viOia1JzLgJQY+Er4qjDwWRV5F2DkqjdcrJAExwNc2a6oKNnqXM6BvPYLWi40VFi/L9jO72XiaFYNgZ2ssLh2WCv01NRSUurZyQil+X3vFREtgQ/Y0hrcu5xrrZ3fSp294XvXdzFb0V8murNf5Vvz9m9eR8F/tlP6xp+K+IfvP+YrxwO/CfvCz90IjwLjl2yhOjhLFD7wPNd5mrbsU6RI87oZDdBXY95yDwvDBijgbk0NOI5bQIxG/ztfltjNh9mA5C1ImPQYodJ3G810mHKgCvZGlxHDWLSyYYXfc/9uuH9/JLBmajNVa+0QbhfN1zHyCr3zEYlTpSDEEiqdClzEALBCW/vruxaRejzUCC1piA9l5p31jt+tJ1TN1D7wMXFPpltXPH1zQZtHqHLWQUnBl8UbIq7im5ScB7UJlxJld4Jx9V+mjs2Gbq0n6702aZLQ1YuU8dKNgx09GJqh4In0pH0qkx47RpHBVRPIBRXy0xi0M2kfuqpzNNX4mRBcjNymZZFOqIMDFhh7cvjOdzkxTnQcS3nZDE/wMRgfVKpsXc0TgeIqTYWL0C1QlZ1L6aRdSgQJ7ut8jNy6vawbUyQ5mZMcKHxMXKcIIx2uzUqYukG38WnH//dNxYsQ+YvvAefOQg03gqspMr91jbM1sNBqHgrv8Wifsi6/4g2HLNjTUPDQai46g0FcVYDlRVxj+S4KMzbWnqekhWhzplNFo6FLogkVrIm6UGhN+hkCdZl+wxuk+es8by/3bKl51Bafvep52nneGNhza0XXeKwckXYyXHgheshsY1p6sx/bbW1T7gqF8PALNSsdhkHvOg7/spHLV85hnuNNbIyQIZSz6I6FrWW9mjZM0JRiHdFBC+IefeGkqRrNAXp0f84qe3Z3uo8Uh79hBVVQ5M4Me/gXbJ9ahMz10NilxKN85OAVyrqz423KbGjTIHFYNfbqJMAV+PM8zSVtV2Na1RN7dVP05NApytqmRGkYe7Ppmntwp8BWEErmUH3EErVbvLpHfcIYBJaRIsYFcO0P1hzLRXhTWuwOakK3LAgjFwzNQ2j7BjyluAsOTVbFEOS5BRvNNcyImHad+7iexP/yL0vsY6J+40yPxn48j+yYPdXLui3SqgzB69HVuuGLx1kjs7v8ULe54g3ATtLT2pDQ9Qu80obOakjQxa+eChcDNbMqZyyHqyYrZ1wr/V0yZpiu5R5f7PjoqtYVp6n28igJp43KsuvhsRXTip+/kXP87TmQFruz2qebM3n+qCCVZ85rK24qcSxrDzblLnsIyJwUlccN8LzLtB6VwSs4IN1xOP5iJfUqeHdy4HPhHt8FD1PfUcm4QpaIuBJBFQbfIEzh5KbAcU/15rd4/QWKL+XSJKotGJgIBHpZIPDM5QidxRqSoV6lHQwVwXNDGlL1khMG6RMWTVnRPrSkK731kO5J/hZWdP5W6zHpoK3/Cz4mTXIc08mGky8FL9VOKT2i2l9V242iWiN+8QIpY5EKiqSJpLEKU8aBb9Goa7REWNSbZeIU78vhBnwzPCY6JXXwExnDAwEaVjrC1QT3jXmV16Eq8Z9ZQzH3V7yfR16p9782y5eaTO///ETfvrlG9Quswjw4cYKrsoJXzqySeMiHNBn5XKzImgwOxFn1jdJIsd+yUdxYCaBRfAU0UOWISAI8yBsk+eqT3Q5UTnzeDO1wZKsSGYonftKGx7oPZ4CM52RNNNn46M22jLTlm3KbKJxzBbB8zIlVpo49XMOnKMpB8dh7Sdu3ytpyS5l3tYnDK7jQX7ETnZESdPEZpxuzLzw++8ted4p9xqb7FryWbwugUpGyKKwLtDEtkx+fZmQDNn0j0eY80211vPOLAtGaKFNeK3D3OfElazYyYZetuzyZVEwHQ8He99G30vB4cTT6mL6+zo8XipG0/SBDtSmY4hxVW4qOTp1JBmIBSa95hwvFZU2Bpcq3J6h+O52mMdmU4pjYDpEonQM0hkvp0Cjo+7o8wovDcE1t4rUyaOPPB0UWSOhcHNG+6LxPvYSilmDeDsMMfhiyt1kan9X9H7v4ifun3P/eMVPffQ6lYPaKU939pk/qIRHbeasTpzHnkpMbT2mHTsuWIdzjjjlo2FN1DnLquJigPNOCWWBJLU2Sus9ba7ZauQqWiE00znLYsFRiadPyjVKn21mcb8N6LbYauTMLpkq80xraufZRLMDOgjQeLgaerbRc6+tOK5NeTVlaBuDbfdJaZ2HDO/IByz1gJN0xsuhx2GNt5jtPXDAToRKFJF9X/8g6Lc0zcyuCNbRUTvlKOQJTaIKu6IHkBT6aI89To49VkA/mBdEidsrNPdZuC5UVSemDO8QliHgxWDgN8/3saNb+xF9sleHTmr7bqeZoaBSOk2Tl3cBLXKUT+m9+Wp7CWbh4f3E8TX/bdujEpGoO/yEDXKl0Dbl2Z6Ry28Jvoijz5Gkkcq3E093nPTehCOn3FkSThqZ4NPkOGkkpq0VuzpMPryjncg4jfl206i7+PTjc4vE55ZrXj+9pDoRNn/5feLG4Xzm6H/4eXjvOY/zOc/ffmh+s2x4Li9J8ZiH9YwPNvZZfX0OT3feGmlYE8lADmYptqjszH6+Mzi0iLCOhnSb+UBGWQ2JTY4kzUQyD/ycpykSVdklm9IupaFyjm1UVoM1+ca46BMnjedzh4HKCe+tlZOmoir8+cYLZ03FN7fmVvBQ5rwfL4uegf2sworvi1jxKL3KSgxyXGnNEUtSnjOMsGQxe6EsZjcY1E0q9zf9d7uiGaLkaeGPk88MUw6R8r7YHdKaTGaI62mNpNyXtdOjKd5agzcthryrp7U2PhdYDlCF+aS6PmpxjHodMVcT/cDWeKANxzT+0O5XcoGxSW+nhfGfa5mXwjdRoZbD0FMVZWdDNGY62RC0omZm+injnlcQJyOyrpctrXqUXO47sHKXqCZi3tBH+3tNNmdkUPMT3u8hGefqWx7Cd/H9FXpX9P72inc2nj/5X77Gmwfwa9cyiapcDZHPHtS86OD/9fIFf+D0DEUYNgOtGv+20poTDrjE4GGvhAO8M5GTMELfCkSnz4qq8mv6Pg0tizQrG12yBFUHYhGs8VSc5hMa5/mcvMJl7jjwNT+dfgElMyvaYOsY2eSBVgKVcxyVIgesaJzhOKhGA/oBEbhOA4145nnBhdtyLdd4LFna0vEwzMyaw0Eo9hyvza249c7sQ7x8Kxjluvhn+myT3zQlh+NXnRLVl2uldubLu46JUIRhTHTDLIP6nNhoX3iKib5YdiQdDFIk+8YCmBn9Tq/wVMywA2Cc1o62H6MoTCebqWgEE8W49b0YFDEWQ3mDJqWSmA7UzNjJmkF37PTKOqzObEdGkS2HI8qw9+RVO5DGKYq4veXT1AUth9TNA8BN9iQGfc46TDBFAMQmuqPwTOVmiDja+piYNwxpN/n63sWnH31y/Ms//Qath9Wg1GVS+KLL3G8dlYP3d4GKSM2Mi903AUsMjnjEKQdcsuUHDitedkrMtodUDq6yfR7nUtM4x0yMv/fUPeFAT5jrjLmruMxbnAqblEiq1M6BmAXI40XFO+ueufe8vVmTSBy5Gffbim1SVtGaUxe9MvPFLzhmtsCycpw0Du+M7/tkt+NKNzTUVFITSZz3A6PAlqpxBZNSiloAoRXz5wU4rhJOYFOQIbHQJfrSNBubYV6UqtgOebEpOMH8vUvebhPXDD4IhyHjRTksdmpdEgYVWmfIk3U0+kbtpfB+pfz9dJpi99man4e1Ze27AoceSmOuEtikRFYrJTfaUWG8QPPrHOhkNzWmKpmDo+xHe9sQJbHJK6Ja826TX9D4Q0O0lAnTCGMe7U24wRW05DlgNbK/YQdSrFgKTNkXXu8Ig+7zym7XNBW+dj234YcijuDrMp1qGeLe5/cuPv14e+P5ynFm11XgO4aV46Mnh3zh7+/h8SP0qx/wn/4Xb/KgzXzo36HSOTvW3K9f4fOHgQ82mZ842/DRrubVduBiqDgIkae7Pdwf4KQ2gbgXXeSwCiTNNMW2zPaSzEZ7ajGk2plbTGulco6ffrEmkjnxpkuwGgyxtY7CIjiWtWkIzINNnkcxPC3F9/sbQ5bskrJ0Ndd5xzv9hVkAFpQWwCkHtEE4Dg3XyeHV0+lAwJnHMMo2OQRDqDiETY5U4kkq1OyLTC2n7oDRmgzNZUVxws5vK5ALHLms2y4ZJQVs73YulCnm3sfauK0DjLaGORZYsk1ynavsfspk5eNcoHKzMtk1oaqbTS4vHdlFUrbmf+VNLC+UBqrgCdKYmBaGeut1O127J9AJZQhQKF30hfblGelfWTJDEdyLxTav0TmpNPuz2nRdSp4T1PRuonZ0umJIu6kBMMaeFuHwrv0WiPZdfJ+G3hW9v63iX3zrn+eHT/8pXry4z72mofVCnwwS93yb+WBti/b5TpkF4bP+AbUX/svhr3PAA95wp2xixTpFXpu19rsY9O6wCmxTJmWbeHR5DxVBrVAD49LWUtFrBOZl+mjwoU56HvojupxY6TNqmfHYn/AsrrnM28mgfZdsIv2wbtmkxLO4pt81nNUNPz98k1f1IRmlEc8mD/RlStnKgit5ylwP2cqazDEvusyyMt5ecDb1WQQhqJKDFM6PTWZ2pdgdeUAZm+ZuonVuR09MMNjhkI2LlxU0wS4lgtjEyQts8m1xphE+NR4MlcxvcNfs/YzaTdy4KJ6tL7Bn7SZu3U4vQSFIO4m4CJ4Nl6aYCuQCNzaT+oo+r0w1Vdo9vFDaiQ8EMOTNBG8avTGDGKxYdHzcgR3G29MbEOfx0LwpbjXCf1TzJGIx8uzG+3+cYzf+zDmDVLX+ZOoiewkMNx7/Lj7d+L0/9a/yL539KU7qivsz86j2zrhuXUE6fLgxBAgJKr+g8i1D2rHmnMa9hkvCaoAXu8jry4qkhohYuprLIgwiIkTNPPEfUGlDpdVUbHk8tXgOgm3/y9qxiwZxfjokTurK/K/dc2Y65/ceHvGyU1aDicvQ2pSm9dY06xK87Aa6nDltAl+/WvPMPedYj5nRTIqmWfqJNpHwzF1F5eBFJ9xvTDQqYfDlBaM6sk1qK2dVa0YYSsFbiVI7c8o2moSwTsbxI8Am2l7dp33iPgs2WdbyPF0yFMkiJBShEsc6OdYItRdOGl90Bwy5UnvhqrdCvHaO875nHlqCE9ZDLoVw5joNNjnC4cUxqE3ENmJ/H4cwSD81wVQyNXMG3RgntySy4xTmpnduzpGeNUN5rHFSVBc16MgwoUVGziDAkAokURPO2V5k+0eaYM4jUiS4/XPGtEUnLvGN/VdMDdamUnGCJ97F9zb+1Ff/Bf7sl/8M/8gXPuDiqwWe7hO7r26YHfwi7/4lOK0HHrQ99/IrtNrynv8Gz/otP+iXVA5e9hVvbwJ/8P6K6yHwzU3D/Rbe34w6HHA1KN9c9RxWAcX0B1QdgyqHVSBmZRgycxcYdU4q5zhxc14OHe/6d2h1wR88fZNvXCcu+4GdRlNxF8sDfvDElJ+/uTJ9gOPa82Q78GG84r47IGXlMhnfdysdvpyhO7dlpnM62XFa1bTeOPWtelwRE/FiVIwhmwOFkz06Jt04K0cP3yQRUWdcXpnIUOV2pmLOCuMBR0VSO1Nrv6AHQ1SFOU4qBtbF09SBGBUgZ3cLpjx654KJUhqdKRK86Y3kco637rBMVveFqJNq8tDV0txuZFmUpKvSWGuptAEBV9Z31isbFjh7DCeenTiWekwu0+yVuyxotkDQyorewl8edDMV/VEGsiZ6XZE1s+Y5mjP4R6zzCxzOhLx0uMHl3YtvWRE/evXuleS/O1HyLu7ik8dd0fsJ4oV+k51bU/Wfp/NmfTELnuCEWfBcxjl9MmjP42Xg5y6uyS5zzVMeLz/Dz1x9g99f/VARcVFmwTqaQ7aEbh2zCTuIY5kOSGIKgSO8phGPCIQ8JwNP3QsymUZbXronzNOMd/3bhGw8rMo55mIm6oMmtnRFbt/ErhzChbvgCkfXnfJYHvKCa15zJ4jAW/LuxFHZsabROUOZal4PA0/6jnZXs/CBg8ozC44uKZ8/2FsPiQjbJHTJitvK7bvGVRGqGvLejgT26qrGbx6TYKWR/ZRlU7qLDdWUODp11DK3hE87KPy0m4qHY6TcsZPLKREE27RHFeTIDi0b+Mh3uVnEjrHN58TcmRiUs4MuSIvowK4892gjAjY1GRVSx+Q0SGPFLQMxd6hrSOX13VRnnor3tC1QoJH/UhJPF+xacn/DniROSelYcIMdakEatnkzwam2ZZp4F9+b2OXE+7uIkxlnrfFjR15ol+FeC0+3jsPhkM81/w3O+YCL/A5bPWelA1/l/8t29UP88PyhTRSdTThP6oqus6bJkDOt9xykkwmq5xBWuS9JpqFNkioxG69/kxLv5ef8YPWIj/otM5lzqAtOGziqhcve4IXrwZpSi2CPIQLPttemTLo54MDXNPkhtTfo4BP9EIen0ZaNRo79bBKhS2qK+Lsk1E44qGzdX2XhpFY20U3Fb3ejQebFFKMrp3gxuOWhKJtUUztosiW3bdgL5KVU9qdohW9WuIxuX1TfiKTweGFoi1GRPmUTM9ykSOUMzr1VEwBsvH3fp8SgmaSj2EvCF4hfLNqvgmOQOCm9DrojF/XmLl2VBl3GO5vmdLqyKY8EhkLfGPLWxKfGCcjHmu2GDNnDj50LiO6LWnuNsRS8xb6tIAWcVAxpNe2JQ95OzbWP24nYpNeT8276Wde//zexOu7iNxO/eJ755WenPJjtmFUDjx5cUT3w0Fa88rsvWP81wyx/oTnjq91zkg48cR+yCF/gZ9fPSB/e5/ecKEN2fLirEeCsVp7tjFIwKDyaQZ9rHIZyaLxwPWQWwRAqXYLTdsHLXaQruhu7lNjlyJpdab7V3G9MZ+CvP/csCyx3kxJzPOtoDayvb65xCH2yqfBrHPEsrnm9OuCt/HxyWhhcz1E+oiuor5nOqL3w0SYxZGURPG0pjLfRNA6Ms2sNLqDguOx/LXlXRm29yB7lNd4LTLAq3cgrRirV0t3HS8W1PiE7u32cwprgVEFk5L6c0QF3Y4qpClWYE4rehnMVM39aoNMdlTSTFoenQsQTim1QuRC7FjGdkURkyBsav8RTkUkTks32pDKN1g7NGe8rKp3hi4AVGNItkxiKK8CoSD2+J+Nr33A57Vej7VrKHd41rPJTunSF4OniNVkjif477CfOCmXc1Khfbd765IvhLr53odxxen87xn9n+Qd4dQ4/9dGaZdVCtoTvBw6FJ1s48JXxaXPmr12c04nxI67SE1aD8rn8RRbBcdoIi8px3pWCVwxCN6glqLPgeF2OyAoXsUPEIIAAl6ljJzsyyiXPyvTxGE/Fu/5tlEwrh5zqKwDMXeA69QzFpqdW675eDD1bjbwqD3kqL3AInSY+X5+RgZdDRysLWhb0bFnxgiVnCI4jPeUd+YCdW/FaepO5BlKGyy7hRWi94367L3TBittRgCrrXt15yFbY9tkgnotgxe6YDBvU2f49QqSexy2d9HSyY54XaFFDNr5OQybhxKw4nDQMbBjylph7VHdUviXnyE7GxHIv+jLy54Bpwx5hwuNkdpwYjzChabqhA7XMimhWZ3BAhsLTq6bHt03f0ecVtVtOQjWjJ9/omXszWTUhmjQVsQbS3HvzjWFc3XrPC8omxAXgvL0uL4GsA+v4DCcBJ9VUZN/F9y7+wIMZR5XyVz6MvDqv6Zxx4c8a+7yrwg8ceU67Y96+nnPNC2q/oEtX/Jz854h4Gm04rIRlJTzfaYEI27pXhbn3eAdn6YjTqubl0E9NsBFue9lbUrOOTLZjR3rIeReZu4pGD/jc4YzTWmm9ktSzjspVtvVtvFdlF5U36mPe6S/QIso1aObAVVzGgSVHACx1zootR3LEddpx4Gs+XGcGVRrvccVyCCiTmr3t0ZBNrCr4kQZhMORn3Qjvt/td9GZfdFxl8yj1sElWLNfFs9eL0DjlcnCTjkDtHEGYrNsAjmubFl8NBp12zmyMBgydU4ljIPJ82FFFc/Acp0eNeCKGhjGn7Gz+vJLxZV2OfH9LtI3tO677MemNRWE95n5SWbeJTjOpurri83tz3/KusTaHd2VSmwuEOTBaFk0c3LybprXlAaZmWxZL0EdRHLCJzE0u75DW5ee3J8F38b2Lv+9x5p1NwyJEUhYOf28N/9Q/gD59ShV/nkffvECz8Hc9OOPX3vEs5YxLnvCfP3mTexxyVAvHVaJLjtM68tHOzozDyj7PM68cBOXJVorgnlmFbYKblJz7nNl2dnav00AljpO64TJ1NNSoHvCV2T1E4LRWHswC68Fs0iwHcnzjWtmmxCv13FwoYOIJf3l5SFY47o7weDay5ZKX3JNTNiQarTn1c97dbjnydSm6tQjk2boOUppXjMrv9tUhkx3RiKzqpWMrawbpmOuhwXZJRj8oTe0RImzCUJkZh8zygs6tmLkTa6gz0Kc1wc3wobI84IZlUMz9VBwOcW10JDJBKpbVyTThpTTLK5lPDXWHY8YhSmbHaoJ479XbbZ1W2lAz44pnE3oEjIcbpCHJYGgxHfASqGjpZWtTYUxDpsKuq9JmmvJSCuy9n/dgtoo6UPmlDRwyJLpJgySmHZAnLq93e/eIrPFWAy/neCeM9/0ed0Xvb794MBN+YDnwcy8avAgqcK8Vrgbj5Z21NvV9b93zwC85T4FrKhq35OvrNT98vOSNBRxWiZ996ZgH4bI3Dzow3llS5bJPvL6s2UZlkzxBHG1wnMeelay5dM9LcTcUVbzIQT6h0oqd27KSC67lnI/6RdnAExu3nmT6BzVwzmixfpKP6crm+XzoOAk1H8oTWjUI9Uv3Hrt0SSodS5XMlksu+/d4xb9hiqjZOGwALzuxDqGaevNhZclo7QzqrEUZtcsGk0y69/NcR2Ee9ovHeDz2/TZFdkmmLmyl9eS3O9Cx1csJImQS/n7qQI5Fqvezwq0dJ5+O/DHIzMjHSTrYlFdHPpt9r8VHVzURnHVcPQ1Bmuk5VW8cKGoHScAmz6P6qTjPZnjGaAwvuIlXPApUCVbwptztpyzkiePibkx5pmmO7K0XXDkonIRJ7CKTIUdETMyKwhG6i+9tfOlg4M3Fhp99eUhUpfHweG6iSo1Tdlk4Efil80jrHa8NnyX7gcvhPTKRA3/GH7t/wucWif/iqU1bc0FIHNfWiMoo6z6z8IHHS89wVbGoHOshc5l6NnkojbKajLLTngeh4bRZIMBqyFwOAx9tIvdbS6Qqp+ah6wzmux6U836YGl7HMmelHZXupzcvGEVmDOI8SM86zdnSQbKk88N4xRvLs8KdNT7uKKxn4lQjT3csWsGrsoue9Q3xu9ETfBTUOwj793MVrdA1kSydINKNU8BQKTNvyfCueO2uo3Glj2ujaFz1SuuFCsfcm2doEw1xcuCLyn1Ok4WaXaujU5vibsuEZVcEd5z4QplIk29oG46nCc6Qi0+vOEJZz6N1mYgn+LI/FHil6P62ScQv2fuOmoL8ZJOiTMJUk89n+TqkNcG1E6fQ4Ie3BXfGmJptuG/h6N3F9y5+/NEzvnZ+zOPDa+o64n7y74CvfR2Ggfxiw8EXFKmFH/3gil+4OONXr2dcy1Pezy/5O5eP+EP3e37w3guyCv/O1x/hSmH6aJbZJvv8v7txnDbw2iyxSUJU4fT/z96fB1u/Znd92Gc9z2/Y05ne84537Nu3J3XTQmrEICSgDQhsynEsO4OJyyRxEeJUKGKHxEkoI6ZUBRI7hII4LgKUSxQFiQ0GKiGYoRCSkNA8dKvn28Od3vsO5z3THn7T86z8sZ7nt/e5tyW1pNvdt6Wzbp16z9lnD7997v6t3xq+Q2110KoLPO5bavEEtW3qYVnhBJ6p5zzpOhoaXl6vmRdzzpJSs4hyGTrmvkQVzruBKqEmplLQxMDE2XNe9ia6OZeaQhxLXRufVK1pbaWjjxMa7ZjGgkHjOISKyc6xECHLNkabOBHUBlhRPR0DQUw7paelYUmvG1Z6MroyZJeGvGF14pnq/tgEt9KwwBTXKzezRln6UVCzcot0TNZwLsMjiuIGTkpadzGewwt3i57N2FR7KU0XJInZDbQM2tO5jQ248pA75ZVSJhhTvxz1RAqpaXV5Nb84z9wfj0J5kchaT83KSRiVrfu8FZaBrIidvY2zNspAOwpq1jj6sEFZUbppauZ7E8DbyRO7NC07fhsG5AHaNWXiOt7OuK54v4L4e49f4aWLpwgaOO8G3r1fsexJNhimfPjqquPX36jpovLjJx0bPUdwfNF9lvbsXSzKG9ydRKaFQzHRl81ggk2C0CbYTZeUnWZJJOZ86HEIc50yDc/QS8+lPKIEFrqH14Kakk5bSuqU3Gy7CyRoo+OpasFZ39Fqz0ZWOF2MQg9POCOqUgfPcTymS4+fyRHB2RZzFU7oi5Yhttys3kcMyjJ2gBXNlXOsh8iyl9FuyGxAEkNFNG1yTUxmM9hGKMQsYmUG93liHJQRctSmjexMquR7N6Qtr2dIF57sbRux7SokYQYpKHzawsZ+hOxVfj42tZD406MAVjlCCHNRaFyXbVOZC8YsEJG3u2BFakiJvY+bcVM8euppPyb6qL1tXFNzG2Of4IJbXvKu0mq+LWiXxC6K8bhykSpEHNYUV34+bmTQyBBbZtUtwASu8vu/jq9d/MCjkpeWB5ROOWmUDx0Kcx+Z+cjFYM3KT52YIvNh5fGyx/0wofb7BO0pZcbLS6UNBZJEmyaFcUpV8/e2bZ05Tx/h5rRgr4R16Vhd9jgpOChKvCSl5aFnktalR7Vxhme+YFF6mqCshzSIUqNX3ZpstQ0uQkcTPHNfEgOjcB8RniuOeTI09PTMdcqgNSLCQqb0Gph5z3PukBDNmm3iLV8MCue9Y+aVvcI+9xNv/zbB2aY3wmVviJEm2JBsvxQuemHibTPsxTZUVVoZZzX5dXA8M+143BVcDvZ8g8LcmcCVcY8NhWL2a0mbANgryyTWZ0O+LiFLUPMkdhoRERo1i7mBgMPRyYY4CuoViJrQS6tGfcjDzDxgyyH4ragNtg0ppSSS/LcJY5NrCqiWx4ZU1HopRlhzzgV5m2WK9sW4zR0HaWwbYAs3CuyIuCTCY5ubLJS3O3i7jq9tzGYd04uB+5cLvv2PAJ/8EhSe+OoZMi3x9+ZsfuqSp44u+O+0Nf/pp5Ta7XEmD/nU5YIX9hY87u7wwQM7d/cKZTlst7xBhZNWOe/gxbkNiuaFMvVJdKpyLMopTkyT40ubFZfDwB4Fi9JBx2gB9GAz0ITIaWfnWd7CLkpHH5WLvqMUz35pg56L3hBrXVBCVPbKkj5GbscDXBQKhCMWlu+KgtUgPNRzRB1HzMfGN7urzLwfB+pehF4jks5l1JrakJwOnPixmczUhAJr3uzxJW40QSxGT9uJmltDHevxXDt3T8jiTkpkLed4Kdnzdw2dkeqWmTtCcNQ6oxFrWp0aV98lPRF7TbP+6XRNQT26SKz1dMwHcSePBBmMZiLWdHtX0MQLU4SXRYJD2/A+N/QxiVuNm+SEKslRUo/NMDAO7i7b+7ThYqxbIhEPbPrT8b67wzMnxYhw895QJ9maabRfu453XnwDWhb9opJoIvKHReToa3Ew13Ed13Ed13Ed13Ed13Ed13Ed1/EOj8xd/JV+fY3iKxnL3gV+TER+EvhrwH+rmWj6ayTux0/h24Jn3THvPai4O4WTFn7qScPMFawDPA4rPnvuCaq84R7QxAtm7pDfWv56gioPG+W4LtgMpiA68XDeKpNC2K+ERxuS1675/y5Kz6QQwto2NpESVaWlYxNOKXxtnnNEZq6EuM9Ep9SUeHGoVixlneAnpkQqvbB2KwYG1njqYI6PG1lRUvISX+SQmwQJo0DURIwvUrsFlU4ppWagp5eeUotxC+uiEBxsgkGb5944P31UGmezwQjJ32/7Oe9iZFBFQlI0VbNuyhPZTRhQHBFlryiRQRB1lJhIziROaPyKDQZxNtheP24/tsrNYRSIca5InNzNuGkFxi0pUkLawg6xG+HBdp8wwqM18egyJzdPdPOGBZLastu+hogzX9x8Biloth3JaorxqkLq7oZ3F46cRavyJDTGHudKm0xL3uKU9HEzbvxd4gpG7ancYpxYX8fXLj5xvmIzzJiXwvv2lGdnLa9vKn7uokSAw0pZ9gO9Rp5beD67bDmLr9AOl/yO+rtZho5n5sKXlpFpYRBch8FvDysTvXu4MbXg/cqzGZSj2rafjzaRvaJMVjowqG2HH7o3+M7pIV1U5gW896DAi46c/Ju18WVtqyoUYnkqn/9ZAfygKGFY8Iq8ykpWLOJTmDmIncMlBZ0GLmTFr5vd4j37wsurraDdRW/PPaggSXCmisJBGcbr4jqYfVGftq+mEWAKy6vBUCTg2CuVQR2TxJl+ZtayHDyrwVM65dnFiric08eSRWGKzEXSCRBxXPRutFRro1J5+xvvpY1UVFi4kiehT5vhQIshc5xK+rsMdNIaVBATzRuVWpMGwBBbo0HI1La+bxJ3MVG+MOaQ7AMqo7ZAP6JIDK7ZjmI3u0IxkTg+d/bytE2xQZhzPsmP2+UC5+fJvF3Jm1+p0jGaymrmIl/H1zb+/mee5VuPLvjmj57Ah74dPv451t/3AIDqbqR/GDi9P+Wp3+P43r84YSmPaPWS31F/G11QDsvIJy8ci2JGF4WpjzxJ/PiDIvLSqiCo8swcnvSeUpSpt1zwzAyWg2M92PlXpnwS4i1uFwdMvPD0rMZJTeEMIXK3KNgMpulR9qaqPC+FBxvbukZ0FMhyVJz0l8Cc+xtTjw6YENWRLojAUhteqA+Yl8Kh7vNT6/uG1iISYsSLo0if7TZGo6np1vJMM+cXn3j2EwYp0uY3jFtYMPiwp+RmuEeXuK1V4r7OmTAQKcVAybaVthqu195U9BN8es4RQXtm7FNqhVPHPjdY6+UVbq7LsGU8Q6J1OU20LSmpZGbKyro9xhyZ9rUrqplRHHkbHHQgyICnGB0khpSzBm2NeiElKONW2YlP8la2PQ7a02Nq8n3cmEhW7MbXDLG1nJPyTNYyAKt3MmJNZYtqcy7ROK45vdfxNsYv2vSq6n8iIn8c+D3A/xT4SyLy/wb+qqq+9NU+wHdC3D/7fj56+Ed5Ya9kXgiXPTzcRJbacOj3OekaGtnwoDNbkHe5p5nIjJaGn+tf59umT1M5E4yZlzDxwnowX9uLLjD1BesQmLiCaeHsIlQLIcLNSUEfzRf49XBGrdXICQkaqcRTOYfLfDaxorJn4IgFGzXN0EdNxxMuOYgHBAKtdFxog0NYygkbuTB+ibsEoJElDs9EF3Sy4WI4oyxmLDim0SWBgakUWGlqF4w+Ri46pfaOOilVd8nLvXLColCqxAvcK82aABw+GkxyHQN5nCJi8ObjqqYJkVVIXnDOE6Iyc3YRbnVgEQ/AQa8Ng7QEXY8JHbb2P05KnCvwSTVZNaamdlvY7RZ9MZrfXaBlWt64IvoUtB85J7v8lF0fXRE38mgzpsIM6neEsnZgy7mY3OUn5+ZYspJhku8fBavYKjPn5lxly2XOipERgz97KeiGC5wrqGQ6qmFfx9cu/vHZn+OPvfhnuDVRDsrIk67gp06FVR+ovXnC9ukzcX8dee9ixkurp3g0fJofjz/AdxYfxQx0lMNKknCMWQ6ddB3PzSasY89hUSdoLtydwCfPoxWFdcFJ43itWTORgrX2TNycoMrUm4LyGxv74O2V0CWE3HsWgYmP/OhJwXIw1fkXF1OaoDxsOuP3q/F4Temz5qGeU1Ky0DkzKZl4TxcjZxp5eb3mm4/m3KyN53/Zw3pjkOLa2/BMEfroWBSRLjqWg+Os3/qlT7w134LixTHxyqYQKqdkyv4mcXQBbtUtt2p4o5nQBUftDFb+1LRhNRQsB48T2Csim8pE+S56E8CpkxL0qre/tSTYZCU2RGg10Ihx8Bwyqr9GiQw0ViJqm4TtzOok/yx4g1Rq3NoVifl/bjn7VpD6rCGQbIR24YZZtb4Lq5Husdv4DtptdQIyDSLlFnt89v50SRxrq8q8Fb6y/JbpFd1wadoBvqb087ftPLmOrzyCCu9+5oRwGen/83/Bxz52h6PJAU6UO+0lj+8vuH+54OAnH/BHfudnWf2j9/F3njzh480b/Ja9p+waCDxsPfNCOe0N8v+wUe7UwsONsl/BzCvrIPQivDDvedAUHJaBVzYFr66MkvGo6VnoATUlmyFyb1bQbMwH/PbEBluVEz5yFKlc5BMXJaedctYq796vaAI83PSj3dijrqF3HQ+GJTOpGWKGQ3uOXGG+2E3k9XbNLZ1yZ+o50gOWsuaSFa1rmcQpBTNiakBLcVTOmZqz5oZXbGmQGl9PYcJzlDSyJGoYIcSekpqKfWZ4hNp7zkPL7dpsKbMIZ5G6alHH7XAIAk+45DAecKecs07q1heywquprYC99lqWV2qLwHbYBWYPJGrn6B43GBgYaClkkjRfjGObodMOj1NHi/F2o/bJ1mg2DtBs3JBsE4m49LpZp8RsGUvAeMO9mKbKrq1aXiRY3dWNDhJZiHMcoI211kCMpkMiuLEJzn7E2R/8Ot6Zod9g8OaviICjqioibwBvAANwBPzXIvKPVfU//moe4DslfrT5Ozy9+QPcVE+XeahEyiR9P8jAqZyxiAuWsWPKhHf5m5wNLfuVNXhPTwO/9bjh4xczXh6ERemIah6bZfKQ64KJpZiiKDb9XAf2y4LD6qY1es038Zy7QRDjvJZOmLiCTezo0ualwzzmTtwJSqSMtzmQBaVzxt/VZNKe+BitLu1LlnRxOSatidtniC2b/gmVn6MSWHATwBQXXWEiOonjNiusaMzWRU4ShxfjASk2VfVJ/dWJ8WpCEppQVfMrftN5tFeUiNjGGgp6jTRxoKVjolMkOnrpaGRb7PW6TsdQgsueb8aZs6bVGt8+bkbfStg2sUNsxwJv0z8BcvO5fT7IvLosSpZEasgemJFBe1x6ztzw5tfZ5ezuvvau124Wj9n18huPg+2GN4cfOb5JtMuVxJgVJwfj3+lA568vJl+v+P6TJ/xrd444d45HrW1UHqwDe2XJcrBzCezc6aLS6AW36vfT6ZJeIz/yaM1+WfE7b2/4qbMZ99c6qpx/cW3/X70TTppA6YRX1h4RoXbWuO1Xjr1yQROUJpTUXcE02YitBzsnN0F50to5e9kri1I4Hwoue+Wmd9ybmTDMJkDQkhDhSWef5YUe4tRRasnSLVnEBec6oGFCr5G1u+TcPeYnTj7INx06iig83NixliIUyZd7Udjg7CdPCw4r8zDulcTtEypvnNu90vi60wL21MTzSgEnyuXgsPbZkkrtA3cmLVGFvbJn4gNBHZtg59dxZcVbF4VLcWPmukjLktqD4ggRGpSpFPQx0ieLj1asUSx2Lq+Orcie4MatyK5vdxuX6TYLwROi5ZN8nyhWVJqQTZ8GdZnPm9XoTagqN7y5CFUNo1VKDiWOG988aMuF6q5o1S7fd5eLl7nAQe0xwV0P0b4e8X9/9Ut8y9Et9h50fPFij6DCG5sJH7px+vsPaAABAABJREFUyuaipBvss/jKy4fcPr7k+x+f8ow8S5calX/+ABYlPD/r+MDRGf/w1dtQmjjcx87dKEz5ylq4UcFBFXl9U3BYmg7BQal88NDqnMOqor64wYv7JavBnComXlgNShcdpVO7XeGy8zxqIk1Q3rvvqL0JyDlKROCiM62T/bjHQGStLU3fceCm9H3k1sR0CUSEL8pnWAwf4kvLwNPTKZ/bdARJg2mJDChD8ssOGlF1qcWzvOAwq0WnQkXBoA6Y0UsHukBwVNG2jiUlt8sphZMk5Cfcccb1VzWxvy5abpqlNHDZl5a3+pIyJWsRwQdhogcEIhfaMNEpBY61WD5oWSe3DuMQZ55uoSV9qnVOeHWsX0Q9pi29GbVOVGzT3OjFeL+I5Y6QtEk0mTft2jnCbi0STABL1wi2eNnoOU28SIJ6hkYZknViruGylaLlHYfI1dqJ8a9/dfsbZEBi+xaniut4B4XyDcfp/UWbXhH5I8D/GHgM/BXgf6uqvdgn8bPAr4mmd918ge86/N8xRCs+au9YukvWYZ8zXVNSUeDppedUnvA+9yy3pwX7wTPxwq1a+fi556Kf8YXlVjZ4SL699+YFZ63ysOl5elaxX5plxuMG5qVj6s0Pc9mbIETlZfSQ9CJJECKyomGOScD3DOPG9kKWOByLOEt2GpGWjkt3TkHNJp6agFKa/q37R/Rxw9pZs+fEvGBrv6DWiUFfiEmpEYiRWek5nljDboJUBuOO2M+bJHzTR2uSh2QSX3nbJokpsDCopAuTwS+7GG1imjxFew3jBlvFXOQyfLfUmo41jA1lGJvLvC3xUtCn9+mlIJCScN6eim1LClcToglGjYIMOqQtS3xL4o7ajwJUebOaBWliUsvd3ZJEHUbboxxXlFF3YM1DbEYhmVzAxp2pb7YXcWlrkzfVIva3Cbtb43QB7eKS0k1/5SfHdfyS4wfP/jz/hxf/NHulMC+gdvDqUlgNkaBC5W0A1MXIK6sVx+55DuMhvfRMvKd2jg8eej55OeXzlzZIcgi1eHoN3J5OeGrm+cGTU276OXtlwWFl29SzzhpYxcSfhqgcFCWazrkiDaO6AG/0kf3SRKFOUnPeRaUNmp7H3s/EC6dDoCdSaU2hnrWs6aWn1pqH/j6drnkodRKC65nogmUfaIJPUGpJgy0bKs4KOCgjJ63ZvN1f6yiUE6KyXxXsl7BfxhEhMi8ULya848VgzUJM/rqePjoUoQ2OygVEoI+OR21FH80jtIsOQYlqjbdg+asJlq9tUGAvqArTwvOkHxgIqaFtccnKIw/gSq2omNKxppIZTTxnFN1T2/jmXOFdplvsCuP1WxqDWnu9m3/MmzvBCIk2+Mr5T7fbmwyDzvkrsm2AR+RKuj1DmAWjS+RtcM5du41y1IEhNhTxGt789YifffLX+Asf+tNEYL+IvG9vzeubCQ9XM0SU06Zmr+q5d+ec7/2pF/nAXJkWQu3h9gS+cOn48KHyE6cTuniDNqmbd9G2rU/P4F3zgb9/KnTR88H9gcddwSxBn+9OIqUobXAEVW5NC7xk6zFBC4M+v7wMHNWOeSGjUN1ZF5l44byHeRKoq7whKoaoTKQACk51RUFBJSWv6xPqWHO+KugZWLsVNTOWsWMtG+4VtyhwRHVjk9droJaCUlxqlGEiHheFQSOFOEQjhQjgiUCjjplO6RkocMykwiQ0hWmRVKYTxaRKfumD6ri0yHaNLv0tghhypXSWUwo1W8omWP0x1WqER3sKKp3SsN0yu7RjzkJTtezRa0PPhjYh3IqUY3OIeAZtkjhXIGIDskIm4/C/J2wh1WJiXaYO3Y55aldQKtOiel1bjhNHCC3DjvdujMOO8jvkxtYcKCKwdaN4y/YXs0LzUlAV+2/vyXIdb298gzW9X8kI5Sbwb6nq71XV/0rTlVjtU/qvf1WP7h0WPzr8f/ni8IRBDb5SUPBoWBEkEGSgVONTRgKPhhWfXa7pgnJU2VTzqIJvv3nOfiWctJEnTaD2dpFYFLBfWbNnhah5YVpTa9vgdVI8frrcw4sYrBlL3rVz3PX71FjSBFi6S0qtDdIiDZdyyol7wilLegZqKjwFexxTJw+4iCkTV8U+pZuOisLOlUk1dJaUBSsz2siNGZa4U29K5SzJT7xNOg+rbENk6a6QrddnTErNwFi8RtS2J9HUm822KJjtkkYaaeilp6cfH5sjTyxtRhzH2wzWF4xzkjYk3tX4na3GLhxwiO1bLH28q2xjooMpOKdGNmo/mq7nrxBba2pTUZgtPXKBmH3q3tzo7jbU+TbYyvnHVABfgTVqGH3/dh+/ezHJlkohtqbqjKOQCU8dffSXczpcx68wfvxkxf0NbAJ4BxPv2AyRR81AiIZ4qL1jIhVVsul6xh/xkWPPQeW5USl/4De9xAt7NjxalJ7nFxUTV3BzYoXVTT9nXnguOtt8PtwoZ93AK8ue0zYS1GCHlTPua+1tIFU55d4MZoWpGrcRzjv47IUpzD9plYsu8GATeNwEmqAsSk8tHpXIQurUANr5eRRvMmFB0J4uITAKakTg1VXkvLOCcZY4xEENVnw5OAa1prr2pnQ/LxzPLIpxYFAKtrMQmLg4KjSXosyLwFEV2CvC2NQu+4InXclqKOmCo0+w6V6Fs97xoPU86T2Xg1FZNsG22V2E9WDQ5iYEmmCN5EXf0WiHSqRIFiGRQKGm5trIikbW9GKWJZ2ubXBGYNCGPq53eLk++YCGK9tVYDx3c1zZxO7AFe2+cWe77MY8lNWVd593d4O7mzeysrNx67a/M4/vq3mxKvaoij0ikedv/L636Qy5jl9K/NX7X+QTZ8aHf/HWKc/P15Qu8vrlgvVQsKjtszP1yn4lbAalEOHbj5fcnAi3657ffGPDd39PZIh2XX56ZvlgXpjN1+2p57iGB60xZH/8ScWjRvnZU+G1jdEUvMBzc9grlVlhA/5ChOcXwlGdEFFJcf31jTM4cm2DrVdXkcdNJCQK1DTZOt6e1By7BXOpCRo55oCFTMaG12vBhDkbWmY65aXlmlbsnCyxuqzFvMpbDXQxMERlv/LslwXHdcW88ByUJVNfUDnP3BccFzNuFlMWMuHQT7lZ19yd1BzXFRNveiz7pTAvbNt7UFkt5zBEyG6BHTVfxbc/b4JpmgxqCwQRqwGXajocJbVZD4mnSJzd7JFbUODUYTZAYXvu7mxmR8hxGjTmyAuB/PuRVpF1A+jHOiMrNnuK8Tk63YyQZ2CkjuUIb9rQXkGsjV9Xc0heKiiR0s+ZlkeIOCqZXtco1/G2xS/a9Krq96jql36e333y7T+kd26cLz/Op/rv40Zd0ITIs9zmzJ3RSsNNvcG9ckFNRZCBhdRMxXinM29F2GfOlc9cLKwJHotamBaOT50FVgP8hpslPvNAsAJwvzKBp/UQiQo3JgXz0hkP2LsxeR9UBc/Uc1o6Omk5jje4He8yYU6gp5eWS044cQ/opWcpKyKRQgv25S4zd8yBf2psgCfFoVn7AJWfU7opq3jCE7nPRCoWUhu8GePJHNXmEQqW8POFwKet0bCT9H3y+rSJ57Zp9SLMC8/EZ9GJMF6oGh1G4RxRx5B9dRnopcN2LX3iprgrST1HTFZD1pBuLwgG0Rt2rDdKqmKeYN7Dmx4/JLhwSFvYlk13mjjA3QghHII1tv2wtttDQwhN4rBsRR6uwJbf5IOZi06XrELyhanYkfLfhULv/puLVfu+vAJbWnUPR9GZQrbm8NfxtYt/fPbn+KknG56dRuZeeXZh/z9XYWAdhuSDbRSGPd3jgAVOjFc3LWzY9XOfvc0H9lr2SjuXDirh+b2Sz553fOEycG9W8rvvwTrAWW/DqdvTcjyvyiQyd1A7mihJnAaen0XuTiLvWph400UXaSM8NXPMS2dDrhh41G142DbGJ257ozzohDYhLDwFG1kzEKiYUjMb378SeTI0nLQ9g9oQrHBWDKpaodyYkxiLUpilzVSXxPJi2r420bZDXsxLeB0cfRQKBwflwJ1Jy51Jy8xHnCir4DnvPaddQRM8pYuUTumi0CZ491ln1kfLwQp0gFVvQoOZpxdSsbrWjla25/NASy8tF+4JjSytycUsSMC2I7l4HJLP7njOYhZEbVwS33xeXymZt/oAMW1r8m2Z3hB28lb+XbYVclJQ+Mm24SXniatN8S6tYtey7c0FbOYJV35OJTOu42sfP/vkr/F9zcd4ftbyypMDPvLbHzKveh63Fauh4Nnf3jK9Y5/1ygnHE8EJPL1/yY3KPK1f21T0P/IK88LqlsMy8sED5bOXwqcvC56bw7/9/COAcRv8wsIQI+sBVr0Nr2oHB6UNx1aDcneqHJTw7BwebQIP1pHVINyaKC/umeZAG5Qn7cCjZqBXuOhtyH+jqpgUwt1pxXFdceCt8Q0aKVPjV+DZj3vMmVCL52aZLXfs3A0SRtGpTnvWag3wvDDKlG1sHdPCMfOeiffMC8+9Wcm9WcHcFxxVJbcmjpsTx+2pGxvevdK0SoyqBYuCNKCzfJZzVS5zam9DvE2IdME2y9lWyWVWrQSzo9TttbmXlkggamCqM2qtU203bHNFEr3LUOR8ze91PfL9FdMCCPRvqTkGbUetAUjDdIpk05SRJYYIzOJYTkoKqSncbGym7bE7WilfJp/k2B3w5xjChqADhZtajXpdo7wzI1sW/SpTb76OnTiuXuTj68csdMbdeorrHbM4p3aeW9OCJtRoeIr37E/ZBBOGedSStgyRT12W/I5bK37myZR54bjsI2ed7UMW5ZQP7ve8vq64MzXBh0UBr6wC09Tc1l44rOBHT5YEArVb8OJ+wUsXA22M3J6WHPcLHmtkkVTvLtUlX1uomVFozVRrgzgn/pmn5LY+w6CBUmou5A1KmTFxBi0ppKYZzvCupihqZq5g4j2qShkdbdz6wU0LK1gFKMQmnxcKMdoGx5EgP5D4MCbEEdS8fIvEO9wMEDA150CgpGCD8XRWsho5cz0dMYsvSByVAb2Ub4L55ALPG+w3+fFC5qtYUznEbtx6eykQ77bw5ARHdt7M03WnebXiNYtY2d8+xCY14IyQwC3MOMOqbYOcj3GXW2diMSX9sBqPNQ8iRGyb7F39Fu7d7rY3Jvh3zAJYMVK6OV1YEZz5Cj519FFeP/2+X+ZZcR2/3PjWG1O8BH794YpPnu/RR8UjrLQlqtJ05rv94myf1RA5rj1vNMLTM+Vx6/gnD/b5t59/xOXLxrN/6cI+f8vYsVDP77nXMfOBw2rKqoebE8eDdeTutLahVDpXDyvlE2eB9x84vuPmhs9cTggKN8rIM3PP6+vIrYkpKxfOPIGjKgtXMWikjQZhiyi1FPS6FXAK9Kyk5Xa8S2SfwfejKuhD9wZlfJpCqpGTXKaaKCurCiR0jQ3SFqX9ogma/HqzyrSiCDeqgdIptYvslR11kXLDxqDLbRC6aJDty6FgPTgetp4yoVS6KDRBUZQ2bHPWEJUumPJrDntFQ9x4LQgyECUm3psfYcWdbGjVRAILmaAa6LQdxfFsM2viMzk/7G57RfyozJz/KLmIDTpcOe9RuOrza/z/EJOoja9H9ebxPtm/N6mrZj/eXb2BHFloZheK6HZgip2u+eCNf5dPPPkbv+Tz4Tp+ZXEj3uVvfaniN96s+Uj1mLoYOCgHnj+4gCFS3q1YFJHvfuaSR82Ep2ZrNn3Bhw/WBBVmPvLxf3GTytkA6Y3GFMwvOqMbfOfN85E+sFdEnp8rHztzI7++EGHmrQn88RNohsi//kzk05f2+Xh6Gnlm4XljHbk1USbO6AhnnV0jD6ti5A8ve6EZNOl4WB6ovZ3Dm9Bx088pxdEPA620lJhzxkwX3CtucXPYp4mDcYFlw0Ln3KprhljRR2VeePYrYV7aoGszmCTnpBCmWDM8M91InluUaYi/FcgDyzl9tJyRb78cLF9ZM7uFiGefb6N+pbpGt5sAw3NZrZNFrVTMNTgLWCn270bWBgGWlkLrMR/Y80QqmeIoyQe1WwsUlHgpR2gz5PM/JPRJdqiwhtnE9ixXuLRMqNxi1EzZFbCyf/NiYCBq1gcoruST3cH8btO7S50I0bTwAfRaFf6dG99gZj7XTe8vMS7DG+DhtnyYReV4qrvFXlkS1cRU1rHnwE25vx74wGGJAietUog1rGedsg6eZ+YuFW2OW5OKz2xO+Y5bEzbB89TMOH4byVwyJUQD606LgkKEA1/zSjyhCTPaaJvjTRj4wnKgFMceczY6oKrcc8c81IJLTpkwZxbnzKVmrT1znbOSFQGT0/dY4XYkz9KJia2EYhhVPGu/z/vihykLx7xwVN4uTOshbXWdFaZmN2KFa+VgOWwbXUmb3163Wxu7riWbj/R+bMNr3N281W2l5cw9NHVCLXB4UxeUtOlgy1+TUf00JMXm4QoEMKoVmA4Hrtx5jEuFZMD7KT4JQTA2tFdhgzmuNJojlyWye5VU7dGsLB0ZLwaVn9umWfsdgaqB0k8x6wUTtCn9ZHx/OaL2lDK9Ci/SAd21PnKFmTyl9+6lsItKtP/HpZty7/C3c//s+7/CM+E63o7oAryy8dysS0oH+5XnrFOe6CmBnpoptdZ8cb3ixbkpLD/cmFLxsreLzZcu9rhR21bUePQO1wnffstEsvpYjorxUy90MdIEmBcFtTNI3tQrp+3AWVeNgk69Cg9a+71i+cqU12EzCE03sJCKmS9wYlYgpbpRPd4l6yyHBzwn7oTb8Ta1zkyYRaFmynsXMyJQCcwLG4DZaxmvNqjSDPa6h6UN1VaD5cb90oSuaqfsFZH14Hhm1rMoe0oX8RIZginRDmr/Zsujy8Fz2jvub4wPOys0cXp1tEHqIqNa7FY7QSmTEmmbBnKijgt3TicbIsHyTqpmC5mYsry2iR5iMjNXoYVubG7HQhRH1J5CpqP2ANi5LWrWZ4ZM8eN2Z2tHYs8VQkeRcohqRJwpQ/eJagGZsrHDD07bYBHjJY+6CFzVRhgHbXH72C6sLD8V8G1H/wE/fvpffNXOnet4a3yq/z5e5x6/u/itDI8C81nHByYnzA864kp5+Qfn3J00/MjJPr/n6UdM656HF/ORUnCz7jlta27VPU7g5XXNolAKBx8+CHxpNUNXCf3lIq9uStaDNYLH3ppC49UbOuOiC+NGuAnCy2vPolCeX3jWqW4Ias3lpLDN6awQZoU1oCHZkmWUxX5polozqXkS1jxV7VFSEDXSS08jS47iDbzAYVnSRW/CmAGeqec8NbfPrCm+w0FlavFZr6ByJuBXOmvgzRJNeWZmQwBVQ6xBGoaJNbx5m7sazM4yKtQJWOUTlWvT298pL7Vqb9ZnQZWJ83gVVqFnIFDgWbolPV16DhOwKqSm0JJONvTapPwwuQI1zvWBE0+dKCU9SdQzCee5xNPP9meF1IYGjJutZkgelsNIaxtoaIYz9sqnaMPFaAOZa4mMdtsN1YjfQZDsItNynZSVm9/8uD7mjW/Fu2/8d/n8k7/3KztBruPXfFw3vb/E+E3ud/HiYsKrq57NEHn33pT37cNLl1awfdP+nCYoNyeOWxMTjvn8ReCg9gjGcf2nD2o+dBA4721C2gbHtDjmc0vbuISUWA9L5fNLeH7hedIqN2phM8BPP2mYeVOIenZR8nATWQeD/mZ4jENodcBhfL3b8YBFnNkUEY8TIei2mTQemmXjWZxT4HjdL9nEU/bkNme8xrS8wQ15liVrGKCJBU/PKuP9RZcsTzIUzv5eeQraBRO/ybdNvG2LVkNSIky8QivI4wiZzg2vSmRDmyCTthGJEii0ZJA+wXLCFoKTJB8yXMdJaX+ZeFWAykRbLLmbYMwwQg7B1Jh3LYXycw/BhKViUi/d5dbZ1ibDEc2G6aoCYZrIKlR+NvKPs8R/fo2YeMO7lGVTdG3HY85bX+/q7aQ3DuyqtkLaJCV/4srPt81/HOjjxuwB5Hqa+rWO77zV8Ts/9Aqf++Ixd6YT1sGxGRwuOKBkKWf0zHh3dQPvhNM2cNF3owDZUS38s4cTnpoZN3hRejYDPDM1wbxFaWIxXpS7U7js4YNHJQ83yq8/ilwMjjc2VlxOC8+3HA58flWzGZIYG4CYNVAfhYtOmZewXzpu9BMiindW9C2HSKcZbKcMYt8tdI9SSx76+9x3rzFhzkE4Yukuua3HnHUhFaHCvZnZDi0TK6F3lg9V4YW5sihiKi49TTA4tm2l7P7ng2NY1dyoPM8v1qz60lRTVWjSljd7hb/eeNpgQ7bVYA1umV4vqG1++mjbXDBKRhg0qdabJ3uvgaUzKHLe5uYclKT1RhEZsxw5T9vZfuTnOinHrW3cgQzaa9YJXVKO56znKm8fvgz0mS3iJWo/NuGqYWye88YWkniNTMh2aaWfXslrWZX+CvUiF6muHuHNXgr60EABE70Wyftax2H1HO+LH+YHHzl+9+s11WQgBqE+jvijkhvHK1ZdyUeOlHvPnbM5q/j0xR5PTxtmhQ2JpsXAt73vlH/6c88xL5SJV56ZOz63FA5Kz6KIZt01eM46MQpEDy8uIpeD40Hj2ATlZg2vr+D+xjOoNcS1t63qrDC/g7N0nh+U8J49oVfwYud0TCKd2VLIwTiQ2vMll2HF690lE6k4cvuchoab8R5HbkYfzS7oqC5YDcpk8NybO+5OjR5iQ3kbqvWJWtFHoXSGGlFMWHMTzLasCdsck727+5iH+nZDF4U22PEO0YQ7J0mHwDujpwHMEk954oWL3nJItdPw9dKnumegl3Y8J+sEMe6l3QpTaaDTje2H1VBbTsqEpBkomTLQjhaGkIb9adNryDIbwmdamMMxZMRJ0jnp4xonJW24oOnPmRbH9KFB1fKCEumH5U7OsHqqcEZ12NUaGe0Y7Wjs8ak+sePYDudH1flk53gd76xQ4Mug09/Rcd30/hLiA8e/nwUH/Gv794iUfGBfedLByysTmrpRe6aFsigdh5XyqBFeuhisqOojQ1Q2g1A44fWNwwmcdVZo3ayF19eRvdKgd11nKqvnbeTe3FE54XMXPWdDSy2mFvqh6W1mBQzR8SXtzR1ShEtWLDQ3U3mzJ1zIkkbWvJtnGDSOTW6lyR8NE2I5cFPzstOaQWZUWPFSiyk3Z3GaUhxnndk2idhFJqaCMSZojylM2+sUTowbGCLLPvGA4jAKONTiCRppNRAIdAwjLBsYi0mvBVG2cOag5keXIX1bMYadiSJXOXROSkpnPBGndnuIHc4VWwN13iqtn8UWAGt4uert+2Z+isjWZH7X2sh+LiiLOTH2DGEzQoIAQrDNeoY1h9iNHLwtt8ZZs5t4Ok4MwuhckbbIO8dMxOOvCtjgcQ4mzrjbgZ7j/Y9wcvGTX+EZcR2/kvh37/wJjuqK3/4eR+UjJ222uPDc6o85lXM2Erkb79AF5eVlw8vyOhNmzDclR7Xnwcbgxsadt61nE5R5KTzcWNu6V8JlZxvTi055fgHvP4CXlp7TTpkX9rq/7Y5jUfSsgz0uo5bOeoM1l0657CPTwrEobbi2CgN3y5ouKE6swHO6hTZUWvGMPyKocqZTHsXPcce9j32Z0Krlsi4kbrHAoyZSexktP4LaoLAJcKu2c/hy8Ey8FceK0SBWCIN6Lnu46B1NLJMQn21218HRBGEdjPusCm2wQjWobXCa1A1mmtJqsJy9u+GNKEEj5yGgqvQMnPMIl23Qxo1ooNGNWb5pO6ozv7k5zZGh0KrBitAddEhWbx4t0Hb1AHYUVe15cmE7jLnJHpNQO+mx2UbEpw2LEkcf7xw5F0bimGd2I9M/nIKmzW/p5+z5A27pcxQ4PnLjD/GTT/7yV3Q+XMevLIrimLo8hCmslu/l4KmWoYGLRxNe+vFjPn854zufeUBVBJ69d8bJ6wv+0St3AYP5z3xg4pXHzZTDk8ZgzBHqUjmuIp+9tHPnqLJm8HHnaINyawJ3J5GXlp7zTpmXxhleDsq3HBcUDg69DaxKp7zUF0zEOMOvrG1g1kb7Wg7w9JTU/Nr78k4o0+ArRDiqPUN0XK7nPJEzZtQcVAXnG2GiE4qkFTIvhcrBtBBoHPslHFeBqVfaYBvm0kfWwfJnFsBro22lrRG2wddFb7moTuKiljdIg35rfgVr6icRGuz+gjXLXoVZ4UaR0iKxnHzKmU2ih5Vi1os2OgxkDi8ElvrQNrcM9HE9/n+3gb7H8aZaKaHM+rimTM1n3uCSrIxCyjl9GpD7dB5ndehCrNHu4pIQLujDBiVyuvm8vY4OSVzTIM2WfwwFA47CTcac56QYEYNOCoJ27MoKjYP5tIzwrjZkm0ZKvyDS8/TR7+K103/6dp0y1/ErDeVXpXrzdVzHdVzHdVzHdVzHdVzHdVzHdVzHN2R81ZpeEflrIvJQRD7+8/z+oyJyLiI/nb6+56t1LG9XfOrkb3JPjrlRRV5f9fz/XmvpoyR+mfKFy5CEmZTTDr60NE80J3Da9VwOA100m5DTNKxfDbbtzVAYs/VRXlvZjnZSCI82ykkbuD9csJYNF9owcyWXfeC0te1LgRt9czeyoU2CB8W4hTQ42pLHxvVFKXcW/bXWzJngEJq0fVUic44o1USWIubBudA5tXjOQ0tIU56sAtsljgrAZa+sB1OD9S5NSZNqdebsRmxb0mnPedyw1o6egVa60ZIob5YzPMfhqXXGRBc4dbhk3xN3uHKDtomvslU3DWmbmy2GhgRNziqnebNhf6/4FhGXN8NrRrizFGQ4z+6Xkyp9mfqy9xMKP6P0C6pyn6pYJJuhMh1XZ3/l2I1c3yGY8nNZzBLUMZnN7yg1x7QFynBJSRtd/2ZLgOQjan7CA6WbGuxJDPY8xPZ6y/s1jL/x4E8xL+DhyYK/8rkb/PCTsyRyErlVTbjDDV6M72XuS85Dx8vyOpHASs75YnjMeRcQjFbRRdvYZkhu7UyR+aCCiVMue9u+FA4ue+P/nnc6ekmCWfPcb0ouBsdhaR62y8FserooCf63VS6eF56lNnQJ7zcvCmauYOZKSgr24z4TnfJ42HAaGt4InzSOFgNnuqaXjsIJ89L8Lk/anvUQRxoE2AVqrzS+3aCOs75IolM6boDXwdSbN8G2L7alFb60rjjtPZeD40nnWAXL1U1Ski9kO6Sel/Z3hCwwlz15LVdl2sWTsOZM16y1ZSlrlu6Sno1ZDyVhl7zx9VLQxeW45c2aAmDbGe/qLbQ56xDs2KjlfBdiyxA3V87zbAmyK1gF2w2v3a+7Ihpjz9WNiBZTcd4iUXJeyflwV1E60z/s9quvmaP2e0z9EYJjoXM6hust79cwhuGEEDsern+OioI//Lffwxc/f8xP3b/NDzza55+84Xl0aXSYz756k3/66h2ApDuSVH6j4+ZkQ9sVvHtvSZWABM/Pep6ewXsXPYvCPhdNMGeJLimsb4KOIpZO4JmZslcY+uTZWc80USRgq30zK0zNONOg3ljHxCE1u7RpYVz+Mrk9zMutqNVaWxY6x2H1VURp6aidG33Gb03MdumoFg5LZeYjhcTkCx7Jftz7hXGRm2j2ZEpWYzYU2xCtVmsjDGq832y7lK3Qsi/xrBBu1MLN2mDcpTNESrWTO00HJXI2tKy0pYkD62iq0mZxthw1VSI9kS13N295EykKLyWVTKnc4i0UpZA2uLl2yfVRVl62///bnGJ/2y16ZBPO6OOadrhk05/Sh/VYF8XkQjGk20Y0WxLWy8+9pVtdFc7bqkZv77uLlvNSULhZ0k7pCQzXW953YlyrN4/xXwJ/CfjeX+A+P6Cq31Bevx8+mvA/+sk/zt+++cf5orzCjcsXuTd3ODyvrjqaVLDdm3mz2FBhPUTWvSXlw3JOGyIPN4rD1I8BvnA5cHtactbDg03krBtog8eLCc887huW7pJaJwwSuIgFUy349DLBRUj+brImpKZxoTNEhCEq69hTU7GQm6Y0Ko6gJpiwkY5SCyauYBM7Ij0zqdnTI1ppaGSNRoMIT6k58LU1q8mX1zxGTcQK7EKxCaZYmHmBUQ2uOFoWJXXnmSvQYI1vhlsb+82a9igZ0gxeDfZX64SNrIAwCljlUI0E2VoR5dtEHH3YjNySGA2KE4hXCr+r3Fuu8mnF4ShQiQxhDQSEYqcYNNjOWyHOBd5VYzGbw7mCIXYMYZMeYxcA1UhZXLX9mJY3xgY3slVqNY8++3lIkMUME8penYFdG5N2fC9Td8Qmnqa3GXh4/sNv/cBfx1c1np7BN/2jv8iTO3+Sl+RnWK5e5Flu84HDisenBv+1gZUknnpiimrJa/0lH75xxEUPp60y8Y5FadC5kzby/gPHYakjPzULhW6C0kazN1IMvttH5XYd+KlTz92JCUNNnPJqb161QZXNYOf5VuxF2JcJB7XHC5y3Eee9KVBLjSqcxBWNNNRaUbiaNrS81v80x9V7aHXJu/QulZNxWObF6B+FgEs+l+tBee+eshwcF72JTolsuURerECde2XizLMXrKntU7OeRWe8WIGNs7xlBalw2evY/OfIHuGi4NTgzRtpCDJQa81KVnSyMbpF+q+LF6gGSjdLkOXknzvSGrZ2aruUhyzaUiQV90xJyE1oVl7O6vFv1hDY/d2V4nJnGGdCVgZlLtwEEX/ld2+O3Pzm1x4FsxJfGMwuDqBwFbVbcMBdBlpa6fjh07/4Npwh1/FLiX44JYQldfU0P9pUfPYnvpsT9zIz3WOuU/7Wlw65PYHvuvuEO5OeLjrOe89hNfCorbhVd3z4f9jx+f9GuHPjkvcv59Q+cn9T8c0HDU/P1zzcTPmZs8pseLDz7EHjeGFhA/ysaW6NaySoZ+5DEr6qWfYmFNVEc6foogBmbeTS+TlLDXKVaA+1t7w28dZ8zkvh2JlYZ6uBGOFSTB09WxAVzgZ++2XkxqH9ffI5vlcGHPCkK/CSL/L2y1ybLAobJB5WNkTzYgJdISkz2xNafnVGAmbiFAo47wRx9rcJkODWsB6snlO1gdpSbPi3iAs20oxuGoJLnubngMGMPQVDVnIWT3aYgK1Dg5cZAXOaGLQhqzDvDu8zVSLIMA7SgJE6JWkAt+of0ydNE/sayN66BmneDtX8aElUjK4UV9Tfdas7EOOWtvYWykSCSGd+78Tt06T3//KTf/hLPh+u46sf15zeFKr6/SLyrq/W83+94tWVJYS//fjP8OKN7+Zn+pd59ckxd6oZzy4qSgePNyb08OsOLVm+vPK80cKRn3BQO1a9Jb5FaebmF51y6R2qymEprEoHFJx1VlCch5ZTd2q8VYlc8BDlOZzu89C9wVTnHOg+WaLEp/+tESVqoNGOgUDjNun3JhpFhFJNwCoQCBpZuksKLUzVWIRIZMljRBwTd0AdPYvS04aIl4rCCZvBzOQnhXBUb9VWzfbDLiWK+fB1waxNOo1myI4iIpRa4Hc6zI5kO6T5vRgnNTe+pN87PH3a5OZtyRBbSjfDpYY2J1gRj+Btcpo4KGCN4K6PHFzl8r6Zq5t5cvkYtr/Lj7FjzrYfUQcqP6fw0+T7u1Vuza+xaxMyKQ6TgJa9n6qYp9cKZk+kbuTaOWX8d1vYXj2tx6nqyBu04xxoKaRm0PbarujrFK8latZff/Anefbou/hc+4NcTj7Ih+TX861HM+aFbVtfWwVid5tGOyZS4US40DW3a2sUV71wXEX2S+G1NdTOMS/goIw8aj23p8Jpq4hYgxwVnp7bxvdsUELUZNWT+XXCo1YI0RrF1QAh6ii+khVJJ65gr4TaCcseRK3g9Co0IdBLPzbshUzoWKGYrU0Tzlm7IXHRbVNcOjGubMy5hKTubr6emeuXVVRLgSJx6pzAjSokrq+wCYKqMKR8EaIVoZXf8nezaE0bLA9N/HZbnhEvT0LLnkzoNFCIp6UxMamUnxwlTTy52oiOwlRxFJEZVUvzRgPj77oR7dFukRtsleFzIwxABJWd5xyF6q5aFGXbD+cKKj9niN2Y59zO4M0nRElGuLzFG3jc4Nj2Z4tu2eZJnzbGE3dg9ia464b36xSSNn1t9xre7/PD4a/jpGBe3+G58tt4ebngqPLcX8/4LS+8zpPTOV843yeogI/81t/8GvzOj/L8gx+gfTXwnYtXOH084/Hrt9krB6Zlz+OzfRPHS6iR087OvYPSctFySAMn3Q65exXOOvvczQrjz7Yhc2G34lBNUM46QXeUj8EcIVaD5Z0hKh22gXUqrJPoUnSRRVww8bYhnhcmTHXRO+aFclBm0UyY+sh68ASVREu0ba1gHN1C7Ms2wsqtGi6HpGofSQJ3UCdkX65cKiur0hBPqJ3lsi6ankIXI5d9T+kcmyQ0Clar9WJNpFNHlEDPhixwOZ5/RIpk35OH2oM2eEpUPMJWcXlbowRUkwUjJeK2CvEuqTbb9+UVobucj7YNr9UoY/O662aRmly/M7TL99lFzL11IfDWgZtZQUbm1Z2kTl1vRfOu450V34Cc3q+3kNW3i8jPAK8D/xtV/bkvdycR+UPAHwJ47rnnvoaH99b43jf+JH/vN/0n/P1XS+7E5/hM/CFq/xu5w4ygsGwjL7WnaBf5jTeOeW1jE8eWnjYWBC25NRWmvhi3wk/NoPYF9xO0J2IblcdhRZCBjdvwSL8AmJjUangEBTygZzOccbN8D0/rTV7XJwAcxgMAWhJEOAkjlFTMdEFP5Em4NBiaTEFhTyYoSqEFnXRsZMVBvEFFRaMXTN0RN6KJXnRRk2CVshkipbNGtw12EfRihWMXrPzzYrDtdQij4inpfWaF6fw1EMci2TYqpcGbxSaTdkGwJDpImmjSJi+5bdGZlU5F3QgLVg0j5G8LxYnjdmR3K/LlfG93w7uKEDeo9kmIy42PH7fJOlC6mTXY6Zhs6+Mp3Mw8dqXAOTcqpmZxKh9bkCLBl+rUsCerpCRAJWkLFGNvkDA/BdkWpNbw20Q7wybtPRnUMl8s86b710q8k/LJn/v89/C5f/V/yff85E325S6xiryx+Rins2/mZm2F3qON8nq75mYxhQALV+JFaIaC1zamdlw4uByEy94at8te+dISvoCnC3Ajod68bLcdJ63Jql10gS4oP/Wk4P664+lZxY1q4KVlQeGU/crgw2eZkpG2ohMv3JzYJeT1dUwb3iwMpXTRNEg30nEhZ0xkH/WBJl5QUHPTv5sQIydNwKdmFwwyWTkrJo+Tmn2OyiUBKzVFaee376dyW5s0L5GojvPepU2O0ETb1kyTzcgqWa0M0XKXEumC0ASDMmdBvV56Gi1wCKWWLHSPkIT0ggz0uhkFX1wiYuwqwGfI4S49YtsAh7FR8UkFeQib8X4mDrXYWoOk585bmdzsmo/vdsNrjXQxnvM5r0TtR1Gqutjb/mHTocVkgxSBwtVEYUSJbAWtAiKeIg3pMnxScAzS47gqrvVrId4pOWUYTljM3ks/rPFuSogbIhvaYUZftpz1HT/wAH7gAfy/PhQYThy3pg2VD3zmfJ+XP3HAe3/kY6w/rzTLivPLKbduXdK84vjxJwvurif0UYweAMwLZROscb0cJA257d/TTvjcpeeFhTWZn2o9TuBdc/vMPmxdEogy5EkXYK90PGkjF70wL4ySUXtLAIeVDQlPmoF1HJj7Ao/QyAanwm09ZuYLCifslXYUTRAWRaROCstRISYEyOXgaaKJ9DmxHLpX2qBt4nTMNdOkfj9xkXVwrHAUjqQQDYs0mOyi8NrGNtNNMJvKJ2r10qpXTlo7P9faM40FRconkhrSrMzc6iUu2UcqARU3CkCBWaAF7UHMdWM3rElc4AB1221voxejm8PMH6NJvdmljXLUHk+d6qDtwD9/xUjKJ9bUhtiNAlZ5iFYV++lxfkvFCM2WJpHyxVvQdAktl/NjFrOyhr69dpW4jrc1vp5N708Cz6vqUkR+H/B3gfd+uTuq6l8G/jLAt33bt33dxwo/fVbzxfUlP3T2F3j26LsIMvByd8bEH3HaDkypWbPhXzxKW88QWciE5xYTjmvhqFJuVoHXG5d4JooTx3FtF4u9El5eRp4kP1ordSwBNJzjpGATTpn4Aw6KZ+h0TUSptaYXAwoXuORbt6aXNvnw3qDWijUtS3dJKRVVLKgpUZSpL6iGXKBNWMiURg0CV8mM/TgHgS5YEutiQBCmRUlQaIOpnc5LRxdsqhnVDNwlFcO9hrHZDQQ20uBwTLVmJhUVniZJ76MFkrw+B4yrhkAvLdmwfaCl1zVB++Tdm5It/cjdzY1riB1Rh3GjOkICdzYwJIgybCeZsLPxZauI6qROW924s1mpKJMlkFmCbJnT3WDy/gZVDleOrSrmFG6GeWgaDNtLPR6bl4Jer0K5RdwIMxTxo3dm3iLlTRLYe/JS4ClpdUnt9ynS87/25B+/zWfIOzveafnk7718h/O+4edO/zoAk/pZ/sHqX/IfzH8LQw/v2nPsV3v8k8vPMmOPPsw5d+d4KThtD5gWxo37/KUVZ/uVDZkGbIOyHpR378GjRrlZOR5t8izfjQ2jd7YduTUpeWMDq4Vnv7QSNjltUDvbAis62o7NS2HVMzaKDuP9igi9RgZn59BU59yKt4k8w2v+C8w4YC8e4MXRq203CidMC+PCqSqD2vFnSxAvUCXF5ohtsW34ZkW4Ax40ntLZxvegHKhcZBM8a2/P2aupPV/2tnkBG9AFNV/gXk1zoYlGt2ilo6dngxsb3V46IpFz3kBjYOIOLEdpQ5O9d9ly7At/tWiTtJFhRGdkH9wwNqaZqpDe+hUYonNlGtbZ4zJ6JCSNgszX9a6mcNW4xTWef1JlddWXHXaZarYNE80eyY28Y+IA4gjp8YWbUqQG+sA/Tak1tU5+TXrzvtNySogNw3ACgPcLhrDmlfYn6CcthZa0rPneH/0WbtcBQXltU7IO8M3HSv9zT5jcUn78M7d5dV3jHx7z+ZWndMpvWazpggOmnKUN6v2NG/2790tTMVYY+fNfWsLNqmLi7OoZVHBiOeThxtAjYGrpmyEyqHKjLpgXNviaFdasLgfDjLUxMHGevdJTOsd5N2UiFQdFyX5l578X27S2UXm2CkRltCsjYo4T6eKpGGJkXga66GiiJNVlG+4/7jyHZeDpaUdUOO8LoOSi34qsh9TcrgdDjWRtgT7agC5ruXgR1rIBneKQUbcEYMXpqPR+R55iKWdGH0jnftYJyPx70rlp72GLZtsiTQKFmONDl+yEcqPc63rcnhauJivOKwFHQRsuR/2T3OxmH/FcS4kUO4M2h3PbfCKaFeGr0Yki11xvVrDP9ZblLctle9U9o2DJEZ0ueeX011aN8g0V1/DmryxU9WLn+38gIv+5iNxU1cdfr2P6SuNPfOaPj9/vnozTyfPs1U9xy7+HmimfXS15fjrnuYXnh04/xq3u2/jWI0v46yC8azYkn7fIWV9xXAdOOrPdmBeO9/Yv8Che0klLcDdZ6ylBe2q3oEzcjUjPe/XXEYhMqVjLil46JnE6NryRQKk1LRsGNzBXs6fppWXGnEgPWiIhsC8zTui5K0csY8dr7gt4LbkRbjNxBV6sqM2IBidZmMKa+8IJoTMblT4ql6GjErs4XYaOQCCio/cuZEGGbZ3gdyaBa2eNYj7eQpNHrwYGsliVNa79jthLTLzedjCez3b7ud1+jLfrLuQw4iiu8HvHDWvm0SZui/F0k8jXCP+pE2RwQowDhZ+SFx+t2rEYt/FiLGILN2XiD+jjepyEugSftCK2ZBhFJtyIF8+iVs7Vo9jDm+2TnMvCVh5Vg0ZFF68FId5B8Uc/8T380Z2fm/YVAJ46+ijv09/AC9N9nMBvm72Hn1k95gN7e7y09Hycf8mkME7selBeWTfcqmqmhXDaRryDg8oa24teqL3ZoHmx5rLythUG48lOvbAU5ZsOlHVw7BUGNRwSh00kFXSJymACT1sIIrAVuorKiTtlFuc88q8x13tspOXUPcThiRpYyJRavCE7xHaFeyVjwajYcU+8cFQFFDjv7f24ne/7kdtrdJLKwzQI+wXMvP2yjx4REIWHDayDFdkOYR2sme2ibXfBkDkDgY1s6NgwiBV3l5yMRWXQ3gRkdEovrSE40sZ3FxnSxeXoV5ktQcAEamCLTBliR+XneKlHkT3Ejc1zjszTH2LSc/Dl2PBm+HLhp1c2tDlU4+jtnTe2+X55a1y4OvmVd3gpRlh0SDkub3e9lNSyIMjAp07+5lfyUb+Or0Es15+98nMIy/H7/fkHEXHUfo8/99oP85vdb+L9hxVNUD593vLexQ3e/S5l8zOX/LOHMybeeK2rQXlxoYQoRLVd4GEZedR5pl6o0ma0dsY5UDX+qmrk+YUNpW5Ukdcbz2oQ9pM41bIPrIYtBiKqURes6RRuVPbpXQ3Cx5/0LEq7mB7XJZsh8qRvKSlQVQ4qz2Et4/P0EW7XmnKJ0KtQYhBpQ9NFXl4XNrwrIn2wo2gTIiQEe64mQCjstnlhNdt578nwCNM8sHy4HkykCvIGO4t+BQpxdBrZJN2VkpKNbGhkRa8NSmTBMQjM4py1v6SgRgl0bFANDGp1k2kGWF1Sy2LcBGcxT2VrUwjbGqCQmoF25OePnuLJ7rAPDZ2uGGIzWjd6V1G66ZgDMlVjS33Y6ppsvbtLiIy1EtjWd9fDF9LQj5jENB2Fq1AtuH/2/b+SU+A6vlahil7Dm7+yEJG7wANVVRH5TVgGOfl6Hc/bEZvmS3zg+PeDmpdsLQXzwgrKu/qCFaOdFXjv3+u4Vbd4pxQS+cDROf/09ZvcqQMOTxuFZ+YVnz4/5FHXUoWa4HvWeoqIZ8ICT8mSx3ySn+BZ/SBTao7jkUGppaMV24DWzJIglG0XlnI5CkBduHMGWu7Ep6jw7PkSHw6pnGOmJTf0His5x6ljGTumqUAqxUDIrdpFq48RRRmC0Kk1trV4hvSaISobWvoESYZtMxklspQlZTQIYc9A7zp6OjzFCPsZtKVlSYz9mLRz5GbXPCnbtGkxZUGf/Hi3G9/WkqxsfWudFAxpIhlidwVqMyb4HT6cL6oRkpyfu0zFpEGaewZpmfnj8UKQn6OWBcENRDG40dwds4mnlG7Gani45dzGziCEugWAx53CM6QNTlZW3eUe58mwpKbZoE0ZgnnNj/lGiNdPv4/3Hf8PWDU3uStHvP+g5iOLW4jAnWrCF4abXCQF5os+clCUBFVOGmt4v7RZ8Uycc2fmOOvMH3K/gk1qeGsHJ40yK6yIvVEr60H4xBm8Z99oCk9N46h6fL5R2mBcvj5RHMDgxKUTJt62M2dd5EnfUVJx7BacJdGnqc6o1YZ1M92jSHsSEZh6R+lgPWz5fVkspomwHHwSvbELhXcQk0BV5gY6jEfY9tAEU3gunDXHJ63x6srEuVt2kWUfaDXQ6kCZmm9VHRvec/eEXiyXtLqm0yXrcMLEHwGWcxrtEWfEYMFRyswKSalpEtojC0JlYStH4u/uIDF2z13LK5Md6kV/pUh0UlLIlD6sxkLRzm9rdjMHOMZh9PQdvS8zFNHPx9cLOuClYDNcXNkmxdgzaKBIQ7V8nF4KovaU7hjBU8vkbf/sX8dXJ9r+fBzU1m7BJ+IXePnkgAMWzFzBC4sV4f6Kf/Rjz+Nlu8k8ruHjZ8KNasozs2ZUYn7PvAMqLns7Nz97KTw7g/Pe8sleKfzAGwMfuVlwWBpUGISLXvj0eaSNpvHhRah8Gmil837ilcqZgN3jFhaliYMelKUtC7wwCwVNFBP8YytUVzoA5XIQvBSjtkgvSq2aBLy2zrZBJYltZt2ALGplvz/pHLdq4wCfdgUXg2M1GN2idIxq+K+vW3oiUzGYNdgwrSeaRgCB4HpaiVzIE5bxIRMOxkZ1yQlTOeDUPabUxGUVo0g08YKgvQlZaWM0JxyRbR20G0qgjz2VW1D7/fG2oD1eyrRqCGN+8q6m7x6O3t2Fn1D4KZPikKg9XVgxhE2qk7b6JU4KJuXBlXxiv/PJkWJbb2Q4tL6pTwra4YuEQkk11XVcx1cjvmpNr4j8TeCjwE0ReRX4E2AEBFX9L4D/HvC/EJEB2AD/juqbT4V3ftw5/E4enP0gAN9y4w9SMWUjF/TScjse8nAz8OoqstAZ92aOz11Gpl6Y+ZI7k4YuOMrSJPTvTAyG85GjJed9yUVfUDvPcpjzQ48jcz1EnGMVT2hlTSkTokYKqTmTxxzqc0RM5biXzrhVAhs9x2lJKRMalkR6pnpgPFl6DuNNWjpKfFImdFyGnk57CvFUTCkpEudWkRhRgYDSaEcfjPuWubin7pRCC0pKaipazNMgSBihgbVOEi93oFArsnqM39uROLDJYsf+S8UhV9UIO90kS49u/H+SRaqyQvOu0JRqZAjbBna07nDl1q4owZWzEvPuxtdUEy1y05whhbVbjM24dzNKZtSyAEwxsfb7zN0xYLzMSL8DPy7HY/WuZuL2R6hTft1RrEuTqNXO8Y0FtZQGjx4hUFuBChFHr+tr0ap3eNw6+M08Ov8RZpMX8K7ivLpFK+/jW/wLHFbWmJbOMb845KSxAVORVI9VtxzXmZSJXmGCTYVYcTYvJUELY7JRM5X4qI4hCUVd9nBQmvJoVIMD196gzpsQDWrsHMs+0MTAM/MahzWsqtBrYOPWPEwQ3kaW7McDbuotAoGF1JTiOaoLBBP0K8Q2Sm2wonNeKrVLfOLBtj2zwtZABYw2RUM0pVUwrl5WY70YPFFtW7wJymbQ0YKkV9vXtjpQixm7RWBFQyctgwyEtN3tdM2gLV1cjtQB2CqmruKJnW1SUkg9Cq90ssT5LDRlzSvKiEIZ6RJv0gzYpVVkFVMvNQhJJ2BKHzeUfk7l54g4JmmDnM/1IW55wT41w5VbMOjWlmQrLmPiNd7VuFFcq6Qn2RUlK7dxQJiOqY9rcPD5k7/3K/7MX8dXL8ryFn3/CCANSxskOPaq2zYcZuCSFd+0uMXx/ISP/fNjzvqC0pm4nQtmD3ZnCsvB8bCpmLiYziXlXbOOl1YVZ51BkF66tDywXxkFwgm8sdk2kk2A087QbKvemjon9vOyDwyqVN7Un5skrlc5IWhkPdjzXPaRygnHdUkfi1GZHQxi7bDntIG83V57mHrLGY9a+yzfqJR5EamcctZ7loNZEh1XpmOsKZ9VHi57z2owC7TVYJvs4A1KXTpDtynKwpVUycrirO9oExKtS0rneYDfx7Wh1CSMtKNCalbx8ShUV8qMgppSawYxgU4wKoXlITfWEZpocIEhNcfDWwbcGeIs1IkyZ0JRMTXTZconme+f4dND2BBjXiwMFH52pdGFLaIk26lZ5K2uA4a0TNixKdItCi8jWp5c/vQv85N+HV+XuIY3W6jq7/9Ffv+XMEujb+jIDe+/c/tP8KHyaf7Ggz/Fs0ffhZOSc90Qgk3BKzGO3K0jeG1jyfhRY7+LKpy1FS+vC56aDJz3JZe9NUMvLno+uyx5ejKjbD1NPOChM07OROfjKLbQmgttaGRDdJFZnNO7jnPeGI81Uo4c2NLNjNspC4KY4EyvFV4qlrHnvrzBgdpGw+GopSBopNeAE6HXgUat0VQivfR4LbhIKtNBTKChlxWewlSXwZSh02MGGVI7aw21efN2ON0KUm3kgkqnaRJqPBUvBSHBePqwpE/CL1nhEK6qL7/5rLwieJWKuTB04xZ19z7jZvdNvLy8ZR5ih8NRuOmV1wdT0V7FEyuEqZm7YxZ6SI9tkvN0d8M5M2f+lrG4ZZBDjN/itBx9PgF2FZizII2y5QcHbcdC1UvNwt9GCQzaUslihFRexzs3Hp3/CB++8T/h5uz9vPzkH7I//yDTasaDTeT9B8Zz+yf3N/TSsig9j9uORpVFUXB3VrAZlPMu2U4MARqzUKtTVThoUkEtBShYDYFnF+XImevT6PFJZ56VIZriat5qtGuzUOpipIuRdexRrbi/GXgS1pQUrGXDkhMO9ZCNlGz0gpqSPW9bJqNJOPZLh4gVpLmglbS19WI+l19amibAokiemAJ7RTLXUNt054hqDb4XeNAITZAd4T0TwfFO6JJQVc/AlIJeIz0DS3dJJ5txe5Khx11cmpelDjTDGZCF4gz+O6I40kYl7FgL7fLYchHpxKzPRjpGan6HsBmbaeeK7SYYG26KePq4MR2A1PQGHXCy5fd1anBW72o8Nd7VVDIdG/Je1+PGJ2sU2OZ2ShbHijokqGEcleJLN2VWHKfHBSZycEWc6zremZEb3tz8luUtAM70NZ7nw0QUrwVB4cl6iqopFU88PD0NPOkcXmwIZh61nkFhrwjMfOBJKCmTmnvl4JVOuVELFx10Xsdz8qwTlr3ll+NamHpYlAWvryLTwhi2lXOIKrcmwsNGeaMRpkkx/rVmzcyVHJYlZ33Hs7MJi1IA8wr2YuiQwyr554btACzzdhde+fSlHxErYO/1sDSxq8YJEzGVe9Q0DIoE2369KUY6h0GmlZOkL1V5Q7MZbNrRR6WJgXOW9NLTidVKlVaGWFPz747aswo7AEfHeI4OsWWeqVEsyWKWBi9ONoviiUQKjHefLcQy9SkPuneH97aJXY8vmesDex/zEYFiOiA2RI8YYkyJeCajE4X39YhaiWGrBZAXCN5Vo4Lz1pIxb4K3SwcRR+muN7zfkPENtqr8eqs3/6qJv/XwTwHwzTf+fV45/cfszd7PqnjER/zv4l2zKY+bgdNO+H33LvngvudBU1G5yIO25Lz3rIJjiCbtvxr8qEDaR2G/VO7OHHvllIebEj88zYaWfZlxqpNkOxRpxLhnh/GAkoIlxcjbCMnc3GFbwcvwBpVbUGpNYKCTjjvlDE3KqzXWkEtSS84NLpgpvG19w5VJokMoKMj+cX1K9C0NE2Zjg5u3vQ43NrgDgVaaBHdOmxQxa5OBhqjRmj8CFbaxGNKGNyTRlyyq8GbF5ZGrmxrYN3N1d09aE6ja3k/EU/rJWHxmk3Tgyu2FSz562u5cnEoMxGBcvokuqBNkSXD0YlPZKQf02EVn4g5YxcfjRS1fGJ1sN9GCp/CzxLczD8+sEG3HYiI1pZuxiadUbsHc3cSp4xNP/sYv6/N9HV/b+NiT/xKAvdn7uVx/mnuHv53z5mn2q2/i9gRulBWfDy2K8vSsYtUrB7XjjfVAE7Z2YHUSkLNiTEfl1ak3Xt1pJ7CB8y7SBqEJyr2ZQ7HvL/u0ORETdtkEgyPn58zxs8snVBQ8cac8q3dppeWWPstAoNKKp/Td1OIpxZlPJdBHY52FaM+vactcedviVk5GYa6YhGJc2lYfVcLMR0oxqGSfeMBFSkddtG1SFpIxdXnlMvQQzCJkrUa3iEwYiLTSpaGg5aFe1zaY2oHtmbLxtlnM+QEsd+SGON8/N68jVJl+OyBTO5fzZteRFJZTU2u/68fGWcShsR/FZqwALUEYh19ZjT3QjnmskHpsiHtdX2mk83vIjxOMN5jfT9g5ttJNWQ8neFezcLcoZXLN5f0Gir5/RFEcMwwn1NU9nqxfop4vuKnPUeDYDMr/7ZP7/JvPBlThvYuOzy4rBBsyXQ6OKok7Tb0mOx5HFw0mPHHWLO6XW/X1Z+awGrwhQFAue2uIIW9i4ebUTtouAAX4CF+8jMwKYTVEjvYcjxujR704ndME5e6kpvYywpkl8XTzpdy0Uuyn0tnAy+DSkePa0UXLF00wgay5F/YK2143wcS2sl2a5RwZ9Q3yxroLymmbh+s5J1pe7KLBmTfONAEAWtYsJV4Z4I82ZakeCmraAJWfm/aHLq8oNOfaZdQOwDi9Dk/AgzYEhtGKsJCJIT9ox1rBSZF2xMnnd2dbm4X0zNJo2x7sUi8KN6Eu9kbRqTyE380nuB17orG+2nqIb33LjbI1K40q8fjix37Zn+/ruI6vJK6b3rc5fvbJXwPgcv1p6uoeLy0+zfN8C8/vlXz3M6cAzIqB0kWa4LnoTTBmvwgclnBYDigmsgDwhdWWL9VFg/085Wf0OmWvdLCG2nnWsafSgqiawME9pVZUsqDTJVN3xH68QSsNTzChnNywdtJRYPzjJkQ2iUtbkwul3qbBO5C4joEqCT4pkZ6eQQJObRIZJY72Qj2Bh/JFpnIwNrmCo6ROokzWdAf6ZAHS4MTEbgx+FXeSpB9FGmJK4rDrSRev/Lwb1gwXaUtajccxqqJeaXat0MwelGOBi21DQmzHyaSTkj13m14bAktEI15KnHhqFngpRwGu/JohbblLnaFEHnE6+vGZcXw//j8KqVjelfrf9dMbxWV0q9Dqs+IqVugW1ExYfEWf4et458Tl+tMA3D/7fl688d28ugrcqk2U6SDepAlWhN6ZGR+ujSYmdzMJWoEVfYukhPqwsQpkjbJf2rblW44dX1rCohReXQW6YHDmvVRrrQaz9bHmU02dGRPGqpxw0dg5uJRVEnmyM3Rf52zoeCL3eU7fQzl6TSoeoRChSwTeDmFRWn0UoilOlw6y0PTUWxEa1GyWPnGm3Jv5pA7PqDBtz2YNex9NmXkz5GI20u5Ah63QNNhkz8BGNrRpA5KRGLaxtaLOfHGvagnA1SFbbowhbWEESGiSSKRIWgL594JRI0gqqSLG0a3cgj5u6MPGBGhcTGIyfrQWyeETgidHRp5k0SyfGt5IpJQZvdp7HLfOZORL8nlP9BFJQ8qMKsnbIBuk9pR68BV8gq/jnRRZ0bnt7lOVd1iFE+66FzhwU44nQuUc//yh4wP7yqO2YO4N/nujGnhmGokqFKmZPKxafu58D00N4qAwROHXHw2cJaTas9OO+5t8rbXGtwlCxM7v0zYyLx2lGBx61QttUEgN8hCzz22kwny8X1qteNdsTuns3M8aAA5rxptgnsHZ7qyPwpNOWAdhORSUzqgeYIJ2pVM+fSHcmfqx0QUbwhWpYV4HQ8g0wZrdyluT3kVTm3YI3gkljj4J4q1oxoY3R6BPbhNb14i4868k+HHQYbTqCZgzhVGrbBjmpaTL5/GORZhgOUUJW6u0NIQPYUM7XOBciZdiy/NVo5H1YUXpt9z9yDDmquznnQd5o+ZJanzz9/Z6blRv3ubGbbObt8Emvmk0shgHqmL2S/48X8fXOZSviZCViDwLfC9wF5tv/WVV/Qsi8ieB/xnwKN31j6nqP/iFnuu66b2O67iO67iO67iO67iO67iO67iOrzy+NpzeAfijqvqTIrIH/ISIZOucP6+q/+lX+kTXTe/bFH/hQ3+a/9XPfc+V21Qj58OrfHH1Pn733TmH04Z1V3HZ2USscpFnZz13Jg3TYmB/0vJ9r99hrwjcmjQ0oeCgDFwOJVFtE7NferyDV5eBG7UwxAkX/UCMSknBqZwzyDBCml2C0RVaUqlN/iqZ0pEm/9SUWvEuf5NFaTy7g27KSh2leLKVUCsd0/R4j6eXngu5pE7KrAMtUSIz3ct7WILY5jZgAi4bPR+hOpXM8AmWne8XdzYNWYQrTwzz7aqBXtfjdNF4rWH04M1/920Yj2QLZR4wixY3ClXBDuT5zaJVCZqYIYROzJLI+2Lk105kH68FXZpsZqGIqIEp+9Q6ZSlngG3NBxlGiHQrG6Y6T37MJiaR34OIo5B63Pp6MX5v3jCP0EMpUYmI226ts29xJPLg9Fr+/xst/s3j/4S/e/J/vHLbRk95qX/Ec91d3mg33HVH7JfOPCKD5Yd7s4q9Em5P4FYV+Sf3Ten4uHZsgglBnbbKUS1J2EVZFMqvOzSV5PPO8XATWYfAY+cI0TxsgyqL0nPRD8y8Z1o4KueIHkrxrBM94TgeMy9KjocbTFxBqY5en2UmFT5BrV3i4opCE2xz3A/KWReTmI19htsgzAoT6PKlbW7zVmdaCCeNjnzgPGxWhYvIuOkd4tY+JOeyXWC2qGNDRytt2oROxjwU4nBFlMXOx+rKNtdeM/FxY3fFNsx4dSVRwCnjlsbQG/3W21vKK4JXhZu9BdVh72FIG5d6pD0AIx+4FFON34Uz58fnLa5tffL25uf//GUEzC4XMH//8PyHf/4HXsc7NubTF1ltXhp/jtqy7h+zmqwYdI8+CcIFhVUQ9gQ+dSH83rsD79q/ZG/a8s9fucusiOwVA3t1x52655W0ya09zMQUmveKji+uK+5MWm7WFZe95Z4uuhGS/MmzlvO4gQY+tHdI5YTOGXzYNsLKUe2pvbJfOp6Ne0wL2PPVVq09blXbScJVpTNP8UetUTgue4Mnb4KhXuaFjrzcLHI1K4SL3m6bFRkvAoPpRvKoISFNtudN0K2CfVClEqF2niYEGu3opE00pyxW6Ymxp98VmXO1mWroVYRaiC3ObbepObY0q7CzKTZ+fs8m6aM4yN7dKUcEHRIUORJjj/eFqUCLWRl5KejDajyGzLHt48a2xklR2ZwkjJLxZjb/roNEppMN2ox8Xt3ZbtttVout2y98pR/h63gHxpcBVb79r6F6H7ifvr8UkU8CT/9ynuu66X2b4s0NL0BV7icl3oLKw4PlnBfvPKG6mPHqckEbHOe9p5Sap4uBz50e8plLxwtz4V4oOO1KTjtPH+GosoQ+qHLWKovS4cU8fw+rgiFaAdiGGU5l9MRsdcmxPA9AJy2tNJQySzAYS1ullnhnKqhNUB5zQe86iHtspB3hb23i6HotxgJyKZcEegbZesMFBhoxMZXspwsGwxvh0NqYaqM6BtkmZ7CLAzvH58l+k1vRhTg2wgUxeb1p3Dawmf8KV4s2O6YB0WJMwDlZb7lz2UYkjF6VboR6b3BiSs35GBq9QCVeeZ+7XOceU9J26liLee/FxL8z0Z/LK4VyDiGJVCTBKjAuT262M6fX/mbZ4L0cYU2VTPnCk//PWz+s1/GOjzc3vDlWcs56uMt7F/OkcGy3rwejP+yXJga1X0QuB1NFPutMFX6weQwHlYnDFEnkZeojD1vP1FvBeXPqOE1o2YsQCar0GuiC4zxuuDs9YIimtLzsA6rKxhn/tZWOx4OjkYYDqYmq1FrRE/Ea7WeXz68tT1eSIt9JO1A7Z42umL1bLpI18XbboMYZLBhVqCcJ/ixYDmtDPte3atbhTeYABZ5WOro0sAPLR7ypGRy9LXfyUS5Ic5i2gPHzCj/dEajaNr4Aov1YaNvxmfLqVlwvMMQ1mhRVs0K8KSs7hthSuKQQLSbwJ/jxtUQ8IYnYAMnLfSd017Is+wXHUTcgi+btwqczFHHhb13nk2/g2G14LTxDaKi0Yq09J01F5RzHtXDZ27n16sqa2hcOlGVTUXvlcVvgRemCWfgclKZ+fDk4miAUEnl5XSUxuZoX5gOPW8+8iEy8p3LKx07N9tA49eYF3AS7Iu+VQheNj3/aBi46aEJk4h1dMO2Q9WCNVFSYF5YjHAZBJtkOBRUeNkngym0b3Nyo5p83SQSrcooiPNyYrsBuujjvcr1hdm9et88DZtmWub59GrKXlHRsKQRRAwETjDMqRH8F6gvbhjOmPOFdTZG4t04hSD/Ci3MtFTTpDGggyA5fVjx9MAGsnJsEh3OJv59ut+Z029h6Z+JUWbxu0PZNQ7SrVDInJUHbZA2VLCM1XskhObI2AUnrINPMruM6MKefH9/5+S+r6l9+851E5F3AtwI/AnwH8IdF5A8AP45tg09/oRe5bnq/ilG6KTfdC+wVBV9cwmE555X1lPfsLTnvi1EQ4qwveBrzogwK37S/4vXNhPPesRocRVJG7KJy0SkXKVv/rruBH4tFsgeoeLAOXIaCmSuZaMValzb95OwtjVglM5w6GlnxrLvDahjYDIFH8ZK1W9LIkt6ZynBBgdcCcKMKc97m5uQL1uB2bK40scqW/zZyUzCZ/ZhFWHbKMvvej/zXLLySeWnZomhXiTAXmDliHEYOSY5dj91xiyHpIpCUVPPrvznBK1c5tZr4fvZcfjxOu0jMKJniUvG54YJCamqdUWIJfmCgpB6tmhBoWI7HOfr0anvl/1n20Nw9NkicvB31VodtiK8L1F9dEXTgpt5hk5rNx33Ds9MZR7Vteysn7JVKVGVRRF7deApnBZkTE3LJWxCwIZkTOOk8bYCnJpFFaZ+v6czz6srskCrnKBDmpWMWar64WjNJtjWtBi5kZc2VRB7wMnM54ijeoIkDa+1wCBs6iCAiFOpGD8upd9SJkubEMS8cfVJMHSJJWM9sR9xOM9oEE9Xqo9JHZZVy4rRwtCHShEiqQXEqtDHx2xlopaVI5+1G1mNeMhX6lk7XV3JStirKisyZ35YFaLwUxNBe2dIA4xANrvJ+cy6xweOXUZzPmxQpKf2Wox+JDHFjwi/FMSVTKzKxra9tf01vYF7csoJ6LFB3PM2/zGfLGl877qiDbXfc1F4vDnh/nU9+tYWIY1Yds5EVJSWlW/Cps46DyiyADirHR45LHrUwBM/DzZTz3hAjt+qWZVcSMcRaIeZx20XhtU3JOsBlL/z2Wyu+sJzzvr2ex21J5ZS9IvKefc/NScX08gazwnHRGeIjc2jBlOdf1ofM4pxjN2ejkQdRmXjLd81gNkFdtH8nBSwK29R6sdrqsITlYNvaHhm3u8q2aY1JK2AzgIhtuk9b2+JmFEkTlFIEcabSvE4nkQ0EI2H0FB/oNVDgqLWilZa1XBp6JAnX5cFS0HYczmcbMJd4+CJbhFv8MmfsKGKXvje0R9IbSHmvj2uGuDF+sKtse7vjgRtia9ZnbjoiTrJ9URTHEI0zHOPAtJxeGbBvFZm3uWWrQu9HUdF8O0Scq2zbmyweBcdy/dlf3of3Ot4Zobyd8ObHqvptv9AdRGQB/G3gP1TVCxH5fwB/Jh3JnwH+M+Df/4We47rp/SpG6ef00o4QvJ89c7xr7nh25umjpA2HFaIvXe6xHBzPzZTKm5Lqk85ROihFcSJshi2c5/2HBXcmKz5yJHzs3LbBtXd80/6CizSV7JvbvOZfodIFjSwpqemlxeGJBKLY1vShnlNrRUQ5c4+JEokaOIhHrN2KhhUTmaNpC1LoTqGWPvFZqKlhecUKY9ym4vCUY/O6K74QE3zPGsV4pWEeYnvluaL2o01Q3lBkSA1sG943b3dJr7rrqwtbOPNuXPHm/TJT2BxZXCLbCOTmfPd9T9mnVGtw88baU9BKM/5c6wSVMF7cxtfYOXZTp95eZDLUMVsVbBVZAxGuFNPX8asj9v1dCLb1iAoXsqQJUy465d17tnHZK5THneNRazmhEFiUjjYYSmTqSYWqNcGrwXww2yDcqHreNXe8tJTUcMJ+aSiS1RB5o2k55ZLedRzEAy7lklYa2/Bithi9rgmy4MJd4OMRrXTJuqxnwcR8vTWwTz02pSJCSBtfl3KliIlmhVRwgjXvQc2+qJTttVaQ1JRq8iU29WqXqr9GA72al/jSXY5K6UGG1OAGCpnY0C4uR8GmqH3yAG9xLsOPTUCukMryT+wJtONwzO60bXh3bcyyhcjY8O5QKezv4MiX5Cxak2+3BjmAX5j9EHUS+4MCo0D00Zr1rMCalae3Pt5hfF8uCd3lQjVvfHa3NyLJr1c3V4YA1/GrIyblDaaF+caLOl5aX7CUFQfcpY/KU1OzTGyC4+On+zzqCjYDHFZK6SKPmgmXvcGPKxdZDbZ5bdWay991Z82L7z7hZ37iAEXoo/Ch/Q0PmopbVWTqBaHgcWsIlWUPF92WTuFFQKGRDafRxuuzWDFxZjF2XJe0ITJEQ7RA3timN5j+nRXWuK4HG5I1Ydv0ms2SNdtRMzLEKg7dgS+rGcqiKF00sT0RaGOg04CIsI6w1A299JRaEiTQsqHVyyt/9z4sxwF1Vm3ePT+BkfqgGlDZXt/zfXdjO1jLNIh+hDaLuLHOGIfkrhgXB4WrRhSJkzJRy9yYE65YI+4I+OVccaX2Sj/HsX7brWfcmN80OYFcb3m/8UP52sCbAUSkxBrev6GqfwdAVR/s/P7/Cfyik9nrpverGLvcp//oXX+aqHDew2VfjrA7xWw5LnufrESULrjRX65MHJl5oTwqHUe148HGoIWXfUEfhVVvCfjezHFQKl9UK5duxSll/y4Oy4rVMPBYL7ggEGRg0HbccHg17m6QgYKajg01M47cjDUrBunxsRgniq10O1DmLbQZhQGbYoqY3cYWhpyU/RKfrZQJldrUMUqg0JJhx0N21zsOttsHa2pN0Xn0rt3hktjP24+1iCPEBkeByFXI0vi8Sc05T0rz8+aNTp6+js+JqRgiUFKO2+ua2fh+Y3rPgSEZy9u4uaSkF+O2tNKMvsX5QpY5f1YsN2NRWlEzcQe0uhw9+PKkN+ecQVtCbJn6Qxo9/8o/qNfxDRGfPfmvx+//+ze/h1JLmhC4N/PcrJW7kx4vyl7p+PzKPhuFM6heVh41f1w1hXinqDe+216plE6Z+chq8KialYgXeNxE2ijE6NI5PvDQvUHNlFas0eqiIRUCPZf6kDu8SGssd3qXbLvUvLhLLek14HEJhpwRFEqr+Rw1pfo+7vLm7N/SZMpxGBcPYDM4uqgIQuFM6bXXSB/jjjqz2XmMza5uqRKdbsZ8lYu+IWzG7cZu0WdbmmQVFocx/7w5MjQ5/867eswj5rm73RZnSHHl51tOncxSYRkSbBkK8QnS3I7DxZC2vEpk6o/GYwQrRAu2fOHRfxxHKQuW8eGWzrHT2GZV1j5uUI3XHpq/CiMrwwN89PCP0krHRKd4ESZeOK4jTuCsd5z1NmgqEvp/NZRcDp5ehYVEahc5LCNlsjR61HnubypiEB51DhHl+VnD7fl6rFv2CuWiEA4VXpgrn7wQzrqI6tZq7KbeYKkbjtyMi9iy1o5NGKilwIshOEpnXt+2kTXaRkaK9GPuSB7l0RYHpdtCngsPhVjLOfOwAGonrAeovaQm3KfnyZ7fSh9sGeFxY44JEmhkTSOMS4BdNJgSxnMr5xbLOSFtfYedc7RM53+ZlNi3nrwDdr5nVBmams40yOrjhmY4S2iRZD+Z803KWbm2idonDnA7NssZmlwV+1fQZrC1OhuHZ9GWCJWb0/RnV2qxHNmvNyZ7ycJPxkHidVzHLxYiIsBfBT6pqv/XndvvJb4vwHcDH//Fnuu66f0axZ//4ls5vzn+zm/845ROmYjyuPN88mLOJiQumwoEaKOwV5oIw2Ywu4/PLCt+4nHg+T24NzVf3yEK88KEbeaFY+Jrbk4cr6/gft9jfm47fC0c8+TJe8omFXyBAz3GW1dO0D7BAT09Pb0M9HS0sjZfWs3csK1VR/YHztPLIcFuzA/SU+mUYtx0zuilvWLrY1y0DJWx5x59akcOrk98tq2ow5fb8I7S+KnxBTcm/vRHGIUZ8oRV8OM2GBh5OLmpzRufiVxN3GUS+wJoZMlE53RsiGKiYWYEMIzT2SxqJQmSPE5JNU13BXxqgrdiNNuLULZVqWSaimNHpxsenP3gz/t5u45v/PivHv/pn/d33/cd/3tOO88ZjkGFNsCyV7yzYVlU4dZEx+b3RmV55gurmk+eO46q3BgL60GZFs4gxGHggAWLOONl/3k2emFCUHrKENtREKWQ2gToEmVgYOAwHtJLpJWWVlqIUGtJGdyVQjKoQRULkbRtsffkxRpgJ9APENRsiI5qo39MvFmGhAR/bIL9fv2mDWXEbNXePFTL59YugqSPGxOZcuU232RrotiaP/jYsO8ItOzw6mCbr7LonoincgsraNPrtmpDA09JkH4cfjlqVOx+rS4ppKaQCW207zPqw2yKFmMxatQTDwxXho/Z1iwmWHThaoa483fIfr9pcPhm0bzr+NUZ33f2n/28v/veb/0TrINnXuj4qX7cljxq8/bR7IpKp9ydtDy9WPEvH9oG+cc/8xRzr9yue0oXuWhrKhdx4nl945l52CuU9yw2/ODDyXi+Z+G5WjyqE6aFp+0L2iSGdKuqR2/vEJVlHwlqXsOFE/rBECJdgGmRvXqVweZl+ASjNnE8ZZk+3ncnMPEGcy4deFEGlcTxVUKwZYUBdpNVEYITx6C2h812Z2Z5WBKTxVe+VntXozHg2dIkumE1ojT8mFPCCIc2G6DtAiGf06bf4Ue/3Hyebv1/e2Ay1jsjwg3j84rzeFfTB8s/GQEieAo3HfPhW2zadvJdrkei9hSupo9bxEteKozUMr8V6Ttf/qL9yXW80+PthTf/QvEdwL8HfExEfjrd9seA3y8i35KO5IvA//wXe6K3Yjuv42se/9aP/Rn2ywEnsPDK+/Y2zIuY/HsjNyr7ypS2ezPzoZt55cbEU4jw/Kyji8Lnl3YhOKplhOuUDm5MPBtZ0cqae+EZbug9PCUH3KIUR0STp27LTPeZ6ZT78YyWjakGm8OcQXnVGuOwA2PZ3RJ4ihEqk3lrJtqUFAATTzh79nqKtA3tE6d26wfsk69lhgPuwo7zJhauQmW2DW9k94zMcJzxkrWzxTHP3+4tPLy3Puf2uYDRaN5l700cJRUlFQfxJou4Ry8tvTa0sqZlY+8dR6l2zL2028cnSKEVt3XaIvtxm5OFrOzdxbE4HrQdodVvnsxex6+t+Oi/+LPUTinE/G7nhXnszgvhqIJ3LwI3yoiqENX8e2+U5sF5o7YNyI1Kk0iU8WXnhcMnyJ8Xx414l9PuC1yGNyhkMhZih/I0d/UFDnUPUUdgYK5zAF6T12hYMTBw5s5o6UeIcxaZEsnFqf1cOBmL1CwUo2piNmUS3xvUfl+KQaAr55j4L38OZFRGjoxI2d26ZF9ee623evKq2lZmF5a89a0sxq+co6whrcbnyudnzpMjF1+KxPeLY+70KRc4ShbuFhPZp5aFwa5T0545/LUsGLSl080VdWewPLrLRR60ZdBmizDJvuSupvb7eEombp/Kz5n6Qyq53vT+Wo0/8FN/imemgYPCzolnph3/6ke+yN3JwPv3Gn7bMw94/+EFfRQUIahwq+4pnXLaFUTg9rThoi/5ocf7vN5UHFd9UlG2vWETPCdtx+UwMC9tc3seWk7jmko8XYiG7JCSO+WcygtvbLq06TW/7y7Y0Gzi7F9NtQ8kf28x0avaZskmcJU2xCGaF3gkN/DW/GaF+6NKqL2MHuW7yudOJLW6b5VDz2gswVPIZEtZ2BWv+zKiT7uet/l7G0bl25MKPL2dx+IZYnuFkpE3rn1otkMvySJWjqrYp3RTE+qLHUPsxmNzUlC4mpCeL2h7VdyOHQ0RKYlx2DbW+fYkVFWXBzhXUvk5hZ9SF3vXyJFfRaH69nz9wq+hP6iqoqrfrKrfkr7+gar+e6r64XT7v7Gz9f1543rT+w6JRRGY+cDT08C87LnV2/+aG1XHrBhYDwUTN+G1pqCPMC/g1x2s6OKCiHJY9hyWBU/PHPc38OGDjpO25KhyLAe7APyuxXv5zOWGG1UFHazlkkmcIiJsaGnZ0LDE4VnLhqWc07DEU9JKgxKp1bbCytbeI6sHCp4icVNsQriFNXuK0YrIJ0hvVkwttcKJwZ63CsgFA01q6iIxFWUxDle4bh6Hc8k0XYYrzXee6WTDd00wHtmZsO6KKjhXjBcExxaW6JzdZkI24QqPt9c1hUwQ7ZOl0lYF1hrggrkecs4bI485N7uRSKkVa7lg0IZKZrZVT+rLva5R8TjNtiSeSmZXNlTAaD2Qi+r7Z9cWRb/W486kY6/0THzJhw+WfOx8waDw3LTn7nRDEzyfX85GREl0MPORWeF50sLlYAIxtYdVn8WwhJU2NlMVeKH6LTzQl7it7+LUPWAdTzjQGxyxoHSeM71kkIFJnHLmzjjT1wG4JS/YuSM9dYImDmobWlVoo/FxVe2lHJKU6iGqEMXymUsNcozbIjQXt15sWxzU8CYDgV5MC0DxmBp7avzE4d500d1tZGPcahTkcK4wqgUmfCfOjUWhkwLnSko3HUVfdtEZboc3l/+11/zyXD2HH4diObKViHMLSjejoE7c5Jo+rm3DkgrXbF2WN0FjIy/FqBB9Bfmyc4xTMbj0S0/+m1/aB/A6flXFu+Zr9mtrij7wOy9wezO+9ZUTnv3WJeV7DggPlxz8yw2feHCTT50d0ARn+WbWsRo8lbfP3J068KD1/CtPn/Kovc2jznOrCnxhXfE77gpfWOZmVGik4absc29a0UfYxxMi3Jg4njSRy9ggOG75itLZkP/WxDHxSjEI81qTcJXlsmyF5GU7QEswMmIS+oOkcp/zSbSB2qwwVEwboCgEBkOTgD2XF4FYsMY0OvqEpkDBMWOQPqFfQqKWbcO5gor5Th5wIyrEnr8Y9UNqWdhxaT+KgA47y4e84Q2pgVU1mkZZzN+iIeClGIdepZ/Q9Oeon1C42Yj08FIyJIqDSKSQ6dhw5xz0ZttHLwUqacCXaqf8fJWzAejjyx/75X4Ur+M6fkVx3fS+Q+Kj/+LPAvDT/8p/hHfKuxZLgjpKF1nULcNqzuVgwiVe4H2LhuNpw7+xf8nL5/vcnq95em/J3335Dl7g+x6WvLgH9zfG5Vv1kVsTx7OzCRddYCYlN+MdZlKz0tY4cNIy0cUIMd7XQ9ZyShMvGKRlyj5RDJ47WhRpmj5q8qHLYgqjuvFW5KnQvIn028kjzqDTagnWS2nTxQTBjkmMgVSUvtVP16eG242Fat4878KhJTXhACZ0VW09eLELT+mmI/wnN8Q+2YNASua4HX+7EdyUnj/QSzs2rrVOWMuGSKSWvfR+EzeIwQTDiLi0Dc8Q50ITZFpmBL0w2Ch2wYsaqGRKq8uRw+vSNikQ3jIxvo5fm/FdP/x/AuBf/Lb/mMNJy28sAq+tZhxWHbcWa05WUx51xtn1QBdN+fSwjDTBpcGa8OoycDkMvNQuebo4oIoFG2mtgVTHLXmBjg4vJQf+aWI0NdOltqzdJTVTlu6Sc96gCafEONDUt3FqAitFEqcqxJpcESh37IAyhLALdlbnYjVz+IQEOyQptO768ir4JACnCcWS/cB3kRuekpggxE6BVLDuNqGqkSE2V6B6GTmSBWdcQqV4KfCupvLzKw2naqRyi60GgEzotSGwoXSzEVbocJRMx1yoYkqtpdYjaqT2e+nvYLknDwt3N9NXOLop/+nOwGwX1pzh3AD75T1qMfh1p2u+9OQf/PI+hNfxqyZ+6w/8XwCIf+UPI/vHIMK7/6BDHyq8+y5+74yjV98gvGEaJYflwKO2ZD14PnCwZNWXvOfwnP/2tdtUTvn7X7rHd7/7NT724CZfWlfj8O3pGZy2psIeB1Oi7yNc9ANPz0pO28gQYR0CHQNrt+JmP6XywrxwOIE2fezbIEm9XglqDW+OPipDNMyXg9QI2+8GBdLALahhmQux3FM54wmbCr4D4mgXqSheC1PCTkJWvXRGZ1KHE0+nyxGxFmM/UhN2Iw+cnLO6Y4v4clQ6xSV3C0OZxbHWGje7cbMd6qccULiKbG22hVEnRfiUE4pdZec31RHZMklH2gRXYNGj4nTKq6Wf0oUVQ2iYlkeUfmGQbO05ufjJX/bn8DreefG1ErJ6u+K66X2Hxbf8sz/PT3z0f03hIpNiIKrwZD3lE+cLgsJxFceNRzMUNEOBE+VTpwd8+3Nv8IG9ltt1QSnKz54XPNooQzRF09Ug3KgF8CbxHzyHVcFn1y0ez3G8w0Y29LQsdMZECj7dv5qgMJZshwR03qp8WjM7biIESHDmQRu7T1JtFnVXmj77XUWf7E527UKCbi8IBg2qCThi4qjZSxk0sQ9bddGc1K9CnO2VdvknY+ObYYiuNqN4tvy+/HxR4siFy41u7RYjb3m8Lyaw5ZlSaZV8QO2CUmo9wroDA5XWoz9oqaa+WqiJYvWyLUaz8qJLRe+G88TlmTDE8/F1I/GKcNp1XAfAd/zA/xmAT3zXH2G/NKGrk9WUH358AFihJwKbIKyDueX2ER5s4EZtys+Rgiru08TARlo2srYmS0w5OEevDRsxm4teOnppaXSJE896OKEPDZPiYFQztS2CnblGxUievSJjI+sR+lSsqioqjB6+XdC3wKPtfvZzE021uU9ZK8hwhWsHM4SWNolwXVEtJXxZgaqtbdkOhzeFc+V2Q+KMe2sDsWgiXEnTwIud5y4VwoXaYC3bnhnFIfElxY8Nr+DwWhDEM/EH29fFuL/2d9+MvDqXINJZxXk3svd3F5ejF3nOj028YOqOrginXcd1ALg/+JcA0B/4s8Rv/hDuh34Uup7w0gka4Ts+9CoAn//CDb60PuJzq5rLwfPKpuD33ht4ZtqzKAJHdUvXex60JU8689iuHdyuzYO7jY5n+iOCKo/bjsOyHFXcza5sQMWQZ5ehxwcBSvZLYZUsirpoHN6Jt4Y3i4eOfr3Y9xNvCs5NYFRxzqJ5mR7WRGEzKE2w1jnqtrIwcUAb2tVa0mIaKJUWBnmW7YDMhKPSv9JfUVZ2GJps62ULlUwTKgVKmRAYTH1et4Os/PjdTa4h07ort+fIg3zTS9nCnk2kzGqqyi3S++9t6xziiITzUowDs10OsL1mmzbc9h4DHV1YUft9Hpz/yNvwCbyOd1R87Ti9b1tcN73XcR3XcR3XcR3XcR3XcR3XcR3X8RXH9ab3On7F8Ru+zxS5f+Z3/ocM0fHJ8z3WwSaJy8GmewelI0Th7sH/n71/j7ctu+76wO+Yc639Oufce8+99VSpVCqLsoystoUicBzcxMQxEbT5OOQDbuh0IDTgptsmPJyACWBjEdI2CQEcCLQSCDhJmzYQBwOOiVrBECW2saTIQrItS7JUUpVKVXWf57H3Xo85R/8xH2vtc869dW/VfZ175/d+zufux1prz/1YY80xxxi/ccDepV1WzvL8xXOhb15UUfziqqJ1QuOFx62JUv3C01twpbU4b9mq4QvLsJK4iC2EFrrF+WrG0sX0YCy1LOhoqHUa03FNrnML4lZh7IZpTNt1JMl9IzbvlwjPWzraoJ6MC4rNOqgcqoZ1zZlMh3itVHllMfTxbbPQldMm9qBrj0U2wnKUgzjulOmUUpydb3KUBoiv74MytQeiquIQfY69G2JvUpMUWqVmypAmZLXKzeKTcJdgcOKoY3qRT+nR4mEkPmOwTGWHRvdzWwKJ2o6SewT73P6kULge7/jAD/Kp3/AH6LzhY5fOBVV4QlrzfmdwMRX4XO3ZqoLi6V4XVFE775kaw74Lv81WVrlmPbTNmAyRTzwHMrTLClkbQxpw71c0JugEPMWTHPZJkTxEaEPUhNymKDweevNKrsM7HtkNKYZCG+vsQqS3Zy1rOjoaWdPFzBOli+3EBqV0AIfLdXEeH+yBxFQ/Jdf9A7lmLrREC3V0FUMbIucb+liLN6aPURoEvJiNbJgUeek19PCuZZGjvOPPM/Q8r7INDP/7XGYS9A3C6/ba3LBuuDILvO9zL05rptRmfkw3oFAYI//H78YC/p3XaP7Tf0x/IBxendL3hsV2i1OT1ZFfbSyNg1+8diYIVymcmTZcXc14ZNKzdjWdhvnNwnqenDkO+ym1Ca0dv3gQ7Y4PJQ5rF6yNqGFprlH7mgtmi3fuptZbob63cSGKexQdRWnHIjpuFLVKfYIVZeVCbe/ShTFAEr/SeCxlUVXBZnmoGGwjkLPjIGR6qHg6vwzX8ti2J4hFRWFNfOzIUFNJ0FDpdU2nhLaI4nK23dHevEGhObYyjB0rlCBmVdtZFMdL0eVBWE+PClNpN5RcqNlotzYuizBS4VLrSEyOCgOIqVB11HaeRU8LhXtNmSnfx3zt//wXeXk1x6lw2Afn9al5x6tr4TMHdWiirsJW1fH0YoXzwqLyWFFab5gaeGYbdmq4MIVHZyFVx0i4GDgNIjVbtmbHTqjFssMWu7LFdm35nDxPZeYsYgN7CErDjpCKO9NtZrodxKlizUlSdzZReXQiC2oN9SNhojaIswBZ3j/VwiYGlUND4w82nks1JVlJNRr89NhxQnN0E2tzB4GaPjvIoWavzc7uRl9OXFZ0TUqpR1Vgc89iXdOwijW+Gpx+NdlJmMQJrEHYYYuF3wrH1JDu6MVjtQpH0zWthnTRcNwlVuowGZaaM/aJUM+nDV+68pOv6zdWeHh4+//0n/P5/W3WXmhdmLidq0Pq7X6n7HXCpdawdrBTC9daH2vfghrqC/JFOmlpdRlS/rF4HA2rXMtvqTjgEiv2Yu9Yl1OFu/6Q1h3SuL1wzmtIP+7V4zSkKouEervk1CaH1xAmmQkjg6PsR+nPHqXxjpX2Oa25lTYsso1U4VOP216DQF/vVzRun6bfp/Or0M4j9bJMtij17MZkhWZrJtnmOO2zjkCq4U3/wvh8fF2XX3/8/EzOZNVmH3UJQs1vlyfRSUshaQDUssivV+uUiqj6Huv8xyUYyU4mtercQ91MmZhtzkzenFuz/fLlv39nfoSFBwr56Z/DLoS9S+G69qb3WlaHNVebCZdaw686t+QrtlrePA/zkoV1WFFePtzipy+dRUR5dNozNcrMKlc7wy/sT7Ci7LXK5bXnwHcsnTvWr/uifYm1HNBIE8odvND64Ow6DSJ8ViTeTzX/Yd9Ux3s2qzIPNb0mCmmNzA1rF+xP6ogRlKFDmcXUGFrvqY0wjYtKa1mzZ/Y5lMMwRpZ0MnRYSCQ15ZBePKG2s435TK/rrHGSWkJCcoyHAMFYyyPZq8rOw5+ZZcX5zq9y7X6YrzSjkoqg2G5ievRUtqllEcTwTCiv8DqUtvn4ukntOR0jqDaHfWb1OURMKb16gLkb6s23kxLpvc/5TT/zZwH4vq/8M8xM6K05s8oTM8en9naYVo7P7G9RGdiKF5SrfcXCepYOJibUtBz2ocev09DA3QrMK+XSWplZSy3C5WbJWTNnq7IYgbfoWzgnj4CHq+ZirG1NqsRBqCnV8Ek0tR4XjXqYFAfBmkGtVPFYqlCXAsx1BkIQmWGo1Q1RVOj9KtfaptcZ19qFyEwbVJ1HwlRHCc8ZnA+RldxbbrSf0Sr3sASYVFt5krshXCU2r7QGxeZwMUitRYAoLNVnJzaJa6l4qqhgvabdqAn2EkUp8sXX4tKEmj46+zZHew78K3jtubhXlBALN8e3RHvyZ9/+PirCT+3CNIQev3DgeWQm7HVw2Dka52m9Z6U93lnO+Ue4aF+i86GmdyZn8jluoqL5msNw3jIIulVMmdtdXN3kc8hSc0322NWzTFL9KkLrfaztlezaVQTxGB9/+Rojpf3IOfYKnYacCYBWO1YShKuGSVqIkKz9XmjToQ2qLrb4aEn9vpPjmlp4ADmzY1Bv9zkykhzk1Lu7klH7tBiJBZib3aH+LS/+max5EPqhh4iK146WZa6ZDvZkeB+p/+d4MfCQK/m9JhsaWiuN9Q5cvg1Ex31KUqKHov5euHnkt/0nTH4bXPvmf48LZw/BK7tvXrO43PPcds/L6wmXOxsEoQBBudjU7NSON806Xl7XVBL64V7tDFdb4aWl59wkbN+pMpcqn+tX2pbdyYSpBA2Smc6YS0Vtwn5TK1mFeWKE/S7MeQxhkcxIWPiP0wtqA5OYptb6UFtsokher4oQBP6WPVxrg+M9sWF5vzJhjNe6jpm1eeLeE/qR9/Ss5YBOl6GVmF9lUcxkQyA6qUlPRB29XwX7pinjJOijOGzMBmNoFzlanB+T64OjcnLnV/S+wZh6o6evi1HbiQ2qyo4uz42W/soRdWabbWOao4wzTVCikF8S/qzptSnCVQ8ySpA+P0UUp/eU8L2/9KcA+Mvv/D62qqAqaFA+t7fDP79c8cQMrKn42rMraqPUxnOpCQ5vIji8wwXBCMyq0FfPivDUdBtD6IvZOmXLVpw35+i8su+vIeqyA1vrhFprVjL03R07cCOhxBjN7fPtEAceWhlVBDGnhoMQ94iN1xWfJ4DjvnbjqK6QHOAUnR3k84+KWRmpcICM+vum44QhD/tPq53s7MKwejq8vc0+nmkCbKXGamjxZKLwzDRGd52EzyC1bAKosFRa0YmJadI2O/8TndMK9OryJLnXdf5sWneYV20LhVvhT3zqewD4c7/yfWEBLE4U9zr4wsEaRVlqy5ZMqTHUYpgzHU22HB3L7MClzI0kRAfERSCT0/CSgmfqQ32Fl1noIiTsK3gJys8epYo9hDEmO7LhdYPbtte4rORcx8nneDvBBDEt2pyd0ukKVRcngWGcSQgvYSSkH/qc8RGc3NCzss+ZJUnQBUDFZTsxpA6GCG5FnR3NNOEdtz8y1DkCPY7k1LLISu5j+1nrlJopKDk7ZogcxR7D8fX66IyPyWrTcZsQtWowJiz29X55U7+fQmHMOz7wgwB8/v/0/+CgOU9tPLUJkdHPHQRncmYNb1mE6+TZ2nF20vPLhxMenTqcD7/T/U6ZWKHxYQ7iYkqzQei9smXD/p26ILZpKmbGcmZiWUahKSaGRbzE9n7cAzyoLydsdm6FZa+5p6+g0aGV2NtXmVmyEJYqLL0LeW0CU2NZu3jOodnhDfOkKT1Nntf0DH21/ajsoJJpzIoxOGnyopwZzYcMnm5U2lXJbMMpPYkUta3NfEOI82iKcmqJ1I3O/5SJYuK/lKUy7u2NcmQu5bJ9S++5ULifuGPpzSLyN0TkFRH5xHWeFxH5QRH5jIh8XETefafG8iDxnZ/4Xs7VnjqujD6/rLkwDenKT897Hp2tOVP3rJ3lsI8REJ960wVnt5LQVmDZh5Sd2gizSjgzscyr4AA7DWmNr7ZrjMBCt5nrFtt+h7nOmessG+zk3CVSJLhmmp1kS0XNhIoKo4bzfpe5LmLazjAJTAY+3TZS0/s2rFS6Fb1fhftuHdMQ26i+PIv1LGnS2ZMaEkhMRUzbGVPFVMWQnmjNZKMVUm1nG3L/6cIxpFU7KqbUzMNFIaqxVjKLtcuxB6eGdkyddPFC6KK7Gv6l++E1bOh7fELLkbBKfMDKX6HVoFTd+INyQSm8Yf7oL3wP3/Xz38PKhXS+Ve9xBOdzx8zYqWuMCPuu5Yv28+y7LwNDbWjQRg7O11r3aDSUIgx1sn1WJVZ19G6FlbBAttIrXDGXabTHoSx9j0dRVXoURel8iDYneg0Rn8pITofuVbFG2KosTtPUUejpc4sfIJwzeGZyFqcNvVvF/rSpFnCYpElMDU59JsekbJN0HldmSmUmIaXYDAtqyUFOmggp2wPC+b7ZU5ycqmwI6tLjFm/jmkBLTSurnCId/lJttI1p1MP7SowVqb0PqdhpfIXC7eCt/+iv8s7/31/ihWXoAf5yU0XHUThXh164rRdeWNX8zKUFL61galJ7sVCC9cRceGwG+33P2ju8DirtAIe9o46/7St+GecqwRldO+WgC22ODnsd9e8Ok93eh5Ku1oMgaHxsFlOcJ0ZRhK1KeWLuOVMrrQ8R4XNTy6KyIWKMsHQ9vSpnJhaHstaeTh211kw11OI66bGxBdHEbGeHN5HmFuMSionZHsooGGxJsKuxJIF64/5Jmh61neVa/bHDGwIJIQMm1OpaWl2xdtfy3Csd76gegJHBHg5lHmEhYsgyMVRmykTmR4dUeMBQgpDV7fi7W9zJSO/fBP4y8EPXef43As/Fv68D/mr8v/Aa7E5CGrMRmFvHzA5f435Xs9/ZuF1aqQRQln3oWwdhxbL3SuuVmR1iBbUNiT+tD+mEDR0HvaWRda4/NWoxCCqeiU6CQ6tBtAqBSqtcg+YlTvJ0MMqCYUumHJJqS8Lk1PlRzYoOaXjJsPsoHNW70Czda4+PTm9lF7HmpI9GeVw3U0XBmTYYaVONngvpPqImpDpHJzs0bo8TRDHUMs8pQVYqasBHQZzg8IaojIl9NqvYr89qhZfwvpz0IRVafL6YGTXU1PT0MdrlBmdXupySmXsD41A1+bO5dnDimlKhcEsIsKhCTdyOrVm6nk49h33P0ncsZZXT6dOkLUUfw+1uo/WPkemQVhxT9DpC3WvrDrG2DotWtmMta9DZRqQ29MuVUBGsjpmYXEvXR6c2HFtZO0clwqQy+E7p1NHEPpapltdpl8+5TpfB4Rs5nSnLY7zYlRzIcCekCfrRBNXHfYydDCUZMIq0rlATIjSKyyUQEmuhU4/NSqcYsYz7dSdhO5u0AEbieCGC4rKz6/FxcRFcXIQzcRxeUw9zm23dOKqc2rW5KFzz8t6H3tgPqVCAnM7sFM7WsW82obRq6WC/F15awu5U+MxBxZvnnsttaJlWSYi6dt6z1j7XyTbeB3EpDW3LRIWOjgPfseVtcIaN0HnlsJesB+A0OLaVCXMeHwXzbDUkpFkJzi7A1VZjFFjY74Jj7DU+JjAxBivKOqZ1rp3m1mgepZMutkfraXUZ7dAQ0YWYOTZq95Nqc9NzJjqOljrW9I9EQLUj5LYN7YZ6v8yLXYMeyrDPsYW7qE+QnNpkJwYne7DdeXsFooNbbaQwr3NGTHisyu3aSmrzg46gWtKbAVDVfyYib73BJt8K/JCqKvDTInJORJ5U1Zfu1JgeFP6tn/0z133uB9/5Ps5Wnpn1fP2Fhtp4Pnc4pfXCyoXUne/79Pfk7X/nE386CjZEhVRCzUrnDS7WyK2151G9wKvm0oYzB+RG7HXsPytqqDXWuokDHdKaYVg5vMgeTno6WhpZsvJXaNxeHle+GPgmR19SvayPvezGt3u3xppQS6fqs2PrfRvMto+GPJ6faSKY0hGNrTdqY4bJLhhCX7qUtqMY+thLt2Ia6nqjg19F0aqgzKxMMVQxvbnVHieDsIyjz+OpdQICU12w5BqtBgeilsWQfh1rBlNEqig2F24Xf+Yzf+rEx7/ywrfxCE8y1QmdrjhfPwuE7AOnKwyGL175QN7+sbNfj5ekGhzO16lso7jYGzfUwHrr2bFPYKk5lEN6XMweUerRZSllQogIJqZAj5/rfYiwLLuOV7pwbjTSciiH7PMq6sNkLKkkp7TmRE5hJhT6pbTmVKObidHpsAg2EtpLZRSyOcmszHyjBEJkOkwgc6JirB2mwWqNj59Rtm04LFVeRGulzRPiLXY54NKG4+7ocwpiKB8x9DTReR8UVoklKSnqo+pKZKZwW7neHOW73vo+dqdQS3BC373b8vis4ZX1hH45ZWKUP/6LYX7yR4FvPPdddBpSmwEqhHP1hMZ7qlH9fqdTzk4qVs7TeqVZ91Sxd+4kl3gN4lRbdXKCQwAgEUq9lCsNWBPmS05hr9Vc02skOOAGYe0cK9fTjBzbVMbko4jf0Yys5MQmWzQuo1J1eBm2GWfTeTy9Nnn7PC+Seqi1ZeSoxjnCkHniczGzkSpm0qUSlBCkSOUr4+OHvuZzxNjo4A6L9kFJPpSEjAl2a1O5vlC4H7iXNb1PAV8c3X8hPnbM6RWRbwe+HeAtb3nLXRncaeXf+8T3nPj4X/jq9+FUNww8wA99+U9v3P+Op8N2miabmLzSmoSZUOjFDZET6diVBd4rSwkT4WT4x0qFQK4RAQhSLdfodEWrqxCFGDVT99pHsYUoKGOG2lkY6tOScBYEY55ecnAWezzkNObQeqTO4wnbpPTAENERMYMSq2zWCocm7CFq4wjiM6mmMVysZnmynj4DR/i80v/pcY/P9b/hwmaYsR3bOHU00fkNr21js/g56ocxFW6NYk9unl+69CMnPv6W8++Nv8XFxuNHVTrfcv69+baIYWK3SIrOSbUdwqRuHqO9DsdUplgx+CTkNpJSVSVGgJWl35xQ7pl91hzSsMwlAEbqmGoc1Eu9HyZ2yelLUd2Uujxu/QExuuq7rJJa2Xke95hU5zZO9bOxhtkwlEg4+g2bk6LDTj0TWWQldx3ZSxiyaNayzJGZFB1O9byqPrRGIkRikjprqrcL47LZFqYJ96G7dOJ3XXhtik25Of7850+enwB8/Cv/DIsjmfY/efXPH9vutz3yPaS2QxfYoTY2pzGvekdlJLYcCqnIa6ecqQ0TQ44Uu6jCPLNKHyNVXsmZb2mapMBhq6x6ZekcTj1WQkCgR7NgXmPWVFrl7gwQnV9llHmRnNGU+dHn9mgTuxV1AoLNSXbCa0frD45FbQ0Ga+bBniUNlJT6PFqgS9FjS5UzWUxsCadxNpIX82OWi5FNtyCVU1VRbCsrTsf5i8ggzBe6YDTM7e6x8o3CA4je3dTk28G9dHpPiomfKFytqu8H3g/wnve85y6KWz84/OFPXv9iM2bZh8mkU+Ug92qsWGpLLZMw+RMfoi4ksQPDJX8YYxKSHd6wZzTeaI5s+Ph4zYQpi1ATGIUV0oSzH/XBNBJ67zrf4tMxtMdr2qYCQnQ319v5ULMiKZKba3qnQ+pOnPymiWzquWljuvhQBxMmwC5He22+OCVBrqRqnWqYU/plIy1WK5o4uXeymVbZxhRviQsFoVexo5YZ19yljX6ZaVKeVBfTBa1waxR78sb5wuWfuKntOr/ESZejiHN7LkaJe2oh9KCmZsEOjbRDloh6agnuXh9rjO2osM9pSCmEUF9Xj+pXG5asdS9HMNJimvNN7qlrJPSQHBxed2xh66hD60bn7TjSC+QJY7qCpUjqxG4Hp5fpxiSwIgj3KaGfeZrUDpNeg43K97WGDJaJEnugh3IQg6XXBhv3NVLTuIM4LruRcghj8b3Nia3B0Ptmo+1J4dYoNuWNk8Q6X4urfZMdz6mpmVdBObmN6c8GoVXP2sX7EpzZOSnlWln3wtzG1mc6pDYnGzOzSiWw9sLUwNK5uCAXbJOP/7dRk6TW0Ku8kw6jhl56PEMf3JTCHASjgs1oOcxpwzKyJxJLpFbuahC/GqnIz+vzObV4HEGuzISm38/3k+ObGKdOA8PimIb5Ry7zkmAz0UHtPS2QBWE8SyWW1J0ikcS1wliCrRsv2BceXIrTe/O8ADw9uv9m4Ev3aCyFyH/90vcC8Nsf+96Yshx6Xj5eb7HoJ+zpGieh/2VC8cGZU4OoCeqnse4u/R9um5GYS5iMLXSH3nR0dknvG9zIyRuLKBipYlpvjL7miatHtc/OrYgNq6umCinNcRXTmkmu20sT33E6dIioVDldcWMyK6Fmzkvs0ZsnsUNj+FDLPKx+Ojy99LSENgWtrPA4Kq3jxDXsm9qESJzApibzy/4yU7uzuRiApY4RpjJJLZwGUvub5y781nwuz2VBowdUTFn6S1FddIalwkoQgam1Yuk7rJig2KzBjjTeUUmoku2jNQFyHGTm5zRmmxVXRhHOQQE1LYrB4ASOI7NHGU8cTarBE5vbnA19vUOKcLIfKaISJo1JtXmov4UkYjNoAoTHBic13TaE2sVG1qwlCIUlESunHT6mVob+u02M/EYF1Vir57XPrd/GolcQ6vMat1cyRwqngg9c/QF+8/k/ke+rKmKER2aWZW9Y98rVvmFNKIuYS8XEGPbakOnmRrW++10QsAqPD0rPEEXyPOxO4csrgxpYulBr7DSqN2OY6jSco9KxipluqcMCDFHbJFCXFsbSQnwSfkp2Q8Sy9nu5nVjvL5+wgOU2orvhdYbWiuFzGZdxBFE+jwffZyX6NMYUDLBSbWS2BaG+CVBtvH6rYV4zdNoY5oNTCQt9Y4XowoOJQqnpvQV+DPhOEfnbBAGra6We9/5hFRUSvYYkmLVLtSXCMqUkxhQ8CG11KiEIQo2EZoI6czDC4wjwIYdZ+CoLuIjFMs11dWy0HQqMlQhVyaqOVVQqTAgWlc1JbkoBhBTNsRurpeMIyPh1c6uBqFyYUpuBDcc3COb0ud9uJw2V1qxkL9fKOLo8yU77NnqQBSt639DHFMyOw9xrb6P3p3om1RZtf3gL32ihcO/wsd3ZuH1PT0PnV0ztmaE/tULFFh09NVVWM0/6Ai7mUwWF6TBps1g6dRzIksasR685nNtJnA5TZyd4XLc/FswDTnQAxxHg0Nd3WBwb77dRwuFXiLGYUf/vFD1JolZB3dUOkSE1GwuDHR0rOaSV1SBypYOjq9FOdn4V6gC1w0pQZU0ZL2Fsw8R53IpNxG7YzkLhfserUsdzr/GetYNFlWrhRzoACBNjguI7IerbeWKNcEiDNiq0Pig+B3FQoVc4aEMLpJULEeA2vaaBQ9cwkZq5ToJ+vbQ5m81jcsZWIpU51DqN2gFxkSye/6kVYdh2aFEYztkhCtz2e1CdCc5pfC7ZMmPqbHec9sdKO/DhvHf4vJg+lIANOga59Mt3g5ifnBAlju/taNukkLlimJrt2/qdFwq3gzvm9IrIDwPfCDwiIi8A3wthiVtV/xrw48BvAj4DLIHffafGUigUCoVCoVAoFAqF24CC+hLpBUBVf8drPK/Ad9yp1y+8Mf7+5f+Ibzr3R3FBE5RX/T4Gw1pWob0OZMW+UMtaYbWiwtBqWBXspKOVUI+iMenXRNGVtYR6D6fdRt0qkFcvnW+o7HwjUpvK7MZqqxDSc3INXkrvkdFK60jBdEiV7rJY1VgN2mlIkU6CVjAoH3Y+pPVoVGE2MfJiJShaOzp6SWrTIZqSVnclr8J2G9Getd8DCfXBje7lFCenPb1bZSXqKqZjB7GtKZN7madRKNwCn738o3zF+W/NoksGE3r6+obeNHh1TJhTk9J8halUzIxl37VILJXwKE49HT0raTBILqnYlys0LOlpgtr6KBLrfEOvqw01U9iM8I5Tk3NUVwfxvdB6KZ50cRsr1Uir4HhWSmoNlISrUnQ3nf9B0MbkWt7U2i1FdAFWcoiTnonOo9CMzeruqRav12YkTJVsUoWjybV6ItMc7d1Un3ZZmKZQOA38oyv/Mb/5/J/ImV6NOi6thZk1LJ2jFoMVE1oTGcGKsFULj86EFw7TvIVc77vuQ3pzZUIU2SkcdprTnkMk2OcMtpU0HLLCSOhW0ccWZJ00pHZkaDjvJZY0WGYxS8NloTlDyBwTLKrNRiaGj6VO4X6UuoxzARf77AadDxvnD1Uut0ik/XMplPah7ZyZbWS6pd7dqeTL+SbbktTLNxHKOja7R2zY1GipK0r2yMOAnjIFgzJtLlyXD179cwC8Z/f3M9EpjTRcMxcRDLVOs/JqrVOaePHxWuPEUanNk8HUj7JhiYlKf6mW1Q9T2ZyG43yTa0wMBpU6piC6TSeU0E4oGH+HmM0U4LFwizA46Okxf+QCket5oyiVI1xIBjXpcBHyURHVa0dHRy2LmEo0XBg6XZIk+9MFMPXyJbZ0sYT+oROznT+P9JmEMQYnPatIqx8a14vFULOzeDv7y0+9zm+4ULh7/PLlvw+E+l5LzZyzuKpnarY3at26mOrcqKWOTmAlhkZdFJFRVtKwlIPgQEsQVVlxLbftAQab4ofzPDm0+ZyKta8nMRaKO+rQWqkGZdTo+I6d51C7O4jSHK3JGwu/QOrXPWUtB2GRjCOaBjnleRhPdpRTDaG6rNYc6nv7jddI9b3j9xN6b8YxSM2FM+8uvTULp4J/cPnPAvBvXviTLEzFzJqg1uwdW7bCqTI1QROgI6Q09z4oM1sjLCrlSguNg5VTutjDt47qz4edjw5zqOPtvdJp6F+OpHmNZ8Gcjo5OerrYGi3NBUKbwY6eJqolD6rt9khLnySSCVFcbrQon8jq7z6UhsCwGO60z+KcCe/7vAiW7VO0AWlRPy3oOz843bUJ2iHpeU8XBK7SOJJWQlwITLcBnHS5XOvZ89/C5y7/w1v+bguFO0VxeguviWCosBg1tLrEUgfFZe2YyCLWmjU4OrY5i0HocdTUiBoaWQfxptHKZR9XNcd1tqnfrYhhEo2u801UEhz1meR4Ta6JtXowtBfZWPGMF4+0UjqO8Az1LMdr9DweiQ5yiv6kNgKpfVKvTRCr0tBGpNWDrNSYLgQ+1gHXsqDxB7GPaWgQ3+ugXt37Fu87jIn1w74NF1ff4mjp7BZTm+p0wnvfmr+Nw9Vnb8+XXSjcBZJjNzXb2HgZctJjtaaRNS2hRm6qFT7W79pY7dZFxVQXo6hJGK6NWRiJNEEU8Vl4CoYFMeHkSAUwEslzG497Up2bi/Vxx8XkkiBMUp4Pxw/7+KhI7eixJIXVkB1idejRm1TgAVx8jwCdrjfErgRDzzrbgiRwFaIxDZ1bB6EwmefJ7XginHoqW6no/BLve85uv5NrB5+4yW+yULi3WBGmxtB5pY49GWtjUOcRETrvUa8se2HlQjNGK3DYC5XAUoOz6zx0qjRxv0PXsSM1tTXsdT63KfJoUJmPi0Uuikp1tNnZDYtx5IW8icypZAa6pscdy27LPcDp8iKW931+fJyxMv4fyNslxu3S0nznaM2+147Or/IcJmR7VEzs1mZ0OfYN99pvZKulet3OBwHS8Wu2/gBr6hwUePLcr8uChoUHj9MmZFXymQqvyc9e+S+YRSGlTpes9VpIIYyGO0zQbGy5E5SdVULEtGJIpQNisnRozTOeUCYF00qmVNHhrWSKNVMqM9nomTkoQMfU6rxN6q/b4Xyb1Q8T4/TFEOXdjPQeRdXR9Yesu2u07jCL16RV1tYf4LSn80taf0CnSw78qzGKG8bb+WVo2xJTEBs9CPd9kx9TdbTucKOHqGHomzeO9HrtgtJqfHz8uRQKp4FPX/q71EyZ6xadX4ZzQpc5IuKIysT0LLWhoaXToFHcRfvipB9FLcMksvUh5bfzy7x4FoTn+iHtd9SGDKK4HZspzptpe3ZDNR42BbKyPfHBnqXFqGGxq8/nuMezdJc4dJei6rLf2DY58ZaaiU6Y6pSOYEt2/C4TnedJ9cLshtePY9+0a+F4rTvMY/SxpGLs+I+pZYGVmnl9nondemNfcKFwF/l7F/8MVobU5j1dcrULNkNVqY1hq7IYgWttiOimPr2HvdL7oA7vYyzTK7TOs9SWxnucDynPkJTUByfTE9oUjecjXl3ONqllkR3eiYb/PT7PnVJWiB+lC7tY2gXJvrgcSfUjEar0fOsOjy3yj/tvJ6fZSpXLxsI8po23Nxf2hmOE8quZPRvEBmPHiJS6nLPmxjYojnGt1+Icz2fHuvBgol5uy9/dokR6CzfFwlR8nl9mpmdDiws9wEqN0y6m1IU6lpUcMmUeatPEZSe303VupZHSeJIxdHRZdTQdLz3nY0RVxOSYivcpmhGiLVYqKrPIRnlMvmDEOpbxBDFcJFKUd7PnZlZ0JSg6e+1RFy5OtZmHWj0FR0jFThdBK6ED8RevfODYZ/jkuV/Hi1c+yIUz784T0fEFYRxd2Vm8fTOdMUZnQgslh4mnblpQmE6eomlffAPfcKFw9/jY5f+Kr9/9A1QyHc51dawJdqWPDmAjazyOyj+KV2UtK5ayPyy0xXNkrdcGexLb9ightTnZi8SxjI7r1CSlXpeGGqfN5jHwURl1Uxtg/Fw4Zz2dZ0OLwEodoqoSJrpz2Q3qzeKpdcpCt6m1ZiFT0KCI/79d/UvHxve287+Fz17+UZ7a/SaMdLF3eTdMkLXjYPlpAM5uvzO0ciPV6A2TYmAj68RrV8omCqeK/+blP83vedP3cbE5pMKy1IazMueg75kai7GGwzaURqiC14qd2nDQKVfbnqkJqdFWhA5l37VYLDNrQ8q09niUhhYX9TycBOd3zbAAV2mNio9txYZsEh+V5pOegaqn09WGvsgYP2or5LXPYYPBMU4L4Q5rpjEjrt9ox+Zcy1HS4t+Nzu3txXOxjVKY+4ius0N9ce9nAXjL+ffmhbvUzzfbwxjQSJl4Bs8jZ3513rdQuJcUp7dwU0yNYea26alZ+B2uxNXNcX9JD9RMmfl5Xv3sJUR1Wz3I2yYhp9RnMqXZjPvGpajEOP2mMhNCk/ehUTqQ93W+yak2IQ2552jaYiI8fvJzG/L7KeUHT+9WeN9nEYrUE8/EVKeTHN0xKcXn0t5HObP1jhyFUg3HHrO//BTz2TOjFEyPaujPa/B56H4U0SoUThO11rltR7IHiqOPkYeGg5wBcmBiFJeWXjo6Gmqd0o+iLCam1o0Xrcapd0ejm7nWbdSXMj8eheTS5G0cHYYozHekfi7vv1GCMZybafGukhlVjPxaqUOdPyGFOZVEVBj+pyvff8PP77OXfxSAF698kK+88G2sdY9r7QsnRnOvHXwiLKSJRdQER98wst81sNooFykUThMTG+TfOumY6QyviqIsfc/SwzUOmOqEHTNDFa42ymEfanVrE+rbW/U56utwHPY9+6osZUVHRy99XmjuY7JzaDUWsk+MxkjvKGsDQlnEmgNW7spGKrKPdffjnt+JzflQ0AUZX+etVHgxYV40au+YWxQd4crBx2/qczxYfprtxXMhQ8av6FxonTiOMH/h8k/w+LlvCKnYR2zjeLzJIU41woUHC9UiZFV4QOlV2fY7dDJjqlMe17ewb65Ra0h79ngqrZjpnDkTrhKUm4PjGyK4aBKuGnrb5tvRoKYauLSSmVRFHSOFU6kwptqoZcnpRbE35XiSakyVI6MbStAMdX4nOY3jVVUrVViVlRA1NlJlwa3Xs4K5d/jznNl6B6qO3q9ZrZ8/ts1q/Txb87eNFBVTfe+Q+pTrbqRlOnmSpi2trgung0baUOcG+CjUZKgHYbv4v8HSsAoTTAnZF72uYy2rz5ETj6dzwTlOkZLEMVXm6IDm56IdGnqEJ4GqKKCH2XAETVx4SxxVMh07ul47kKQub6IWwjy/9+TA1zplS7f4qSv/+S1/lr906Ud49vy3MKvOcdC8hIg5Vue/v/wU24vnaPom1+45DJWZ0rHKKZfB5vZFK6BwqthrHUnNfSE1lRj6aBda7dgzVznDObZ0SqeK74Mic6+hz6+JeWhJoRngml/RSBszTgaHtKOJGgRVnuNAypgI+iceHwSsRk5wiAAP51lIhybU2rvNRbRhTrOZRtzroPlRRe2BVJLgtQtlWN6P1NztLdfoHyw/zc7i7XRulYMHR23By1c/xKNnvy4GJ6owPxNyanfQbAmdKDyex899Ay9f/dAtjaNwvyOnrqa3OL2Fm6I2hkfNDivtWdNSUbHrz+NRKkxsyS5RxGrTEV3rHkCu8UgpzGMlw6GmpcoXl3EtcG0Wx8Zk7ZQu1q1BEGvw3lPZeXCUj0R6Uy3L0TYl41rfNG4zOjWcNjiajWOlC8H16mFuhr3DnwdgPnvmutuEupugCJkUGI1UuXF8eg9GKjw9VXWBvr/0usdUKNwtHKENTycNRkItXahZtfTqgnI6Noo3LbJgVa/DBNRrl+0NkJWZPcMi2EkLW6nGTdWTyolEDOoHO2BMhXP9kFHCYCvGQnppkW3jvfkGYwytO4wiUSswQ/ujllAzZ+PEd0actF4v1/omSCqpN0pN9j60LOnEMJGt3HZu2V/amCSLNBipmE2fZt188XWPqVC4W/ReWcgEqzbU/6unxlBjeNG8QicN17jMIYc80z/JVlVRiWAkqDW36uhjSzRHWOjyo3Zkig9tgejpJGhyEBeuXOze0LDMC3Dp8dxSLC4wOdeE9kD2eEsfr4N+x3hRbliAb7JuiTFmWNjz5Kw4gwHzxtsFJRtyQ3sSyyk2I9B1rj22ZspE5rmErYhaPXj40qe38CBSizCbVsx6w+f7A6wGgaoKw5ZMWWrHVCrW2mIQGlnnlkbOD3VmQ6/cGh8VnL3vc+QlXFjqOAGLQgwxCpNUDUXMIPc/Fl2RoZVI3m7Uazc5wqkHXSI5kqkNgfd9mAwemX+e1N7oYPXpN/zZnhTlTaQJ56R+fOPxcT1eSHPajGQXCqeBhe5wkSu5f6+PbXeSiEqvDZ4u9L9MC2RxAjqeUEJqyWMhTlRzVoearLSasz9OKG3wvssR3WR/goJ6nKRWOxvHHbf8SPX/yZaImKFsg6CknLJYvADaseYaFTNq5nmS/DNX/vIb/kxvVK+3XH8OiJoBOmSNJFV6IzW1LHDS4HU/KD/Xj9J1r77hcRUKdxKvcK6e0HjP1b6Jqc4+6qBbKq3ppKGjYe0exfRCZST05Y0K8Q1dEMlTQysN9bjtIMFurKWh02XowCA21+uCja2JBtsEoxaEBC2Tzq3p3Sq0ZUy6AzEiKmzaknFnCQBrJkNvbj+UWfXaAm3uI57aGPW+fcNK7DeyJ6m92WNnvz4rx5tRRl4lU2bmbBbwFDE8evbrePXaz7yhMRUKr5fi9BZuiv/m5T8NwO9+8vvY7hZcMpeptMKLZ6UNC+ZYhJ+8+ueP7fv4uW+g98tswCuzQHFh0ohFZRCkSr3nxlGQcQ9bGJqjQ1hVTJPQPkZyj0Z5g2hWSE2uZJJfJzVjTxeYYyJYR2oBxyuahipPIO8Gbfcydf1oeD+plnhUO1jbOZ1bhgl+oXAK+PCVv8Y3nPvDVGYWhPFSloeG87rWKb90+UeO7feW8+/NiuhOmywilURVgI0MjHF7omRnwjY+75N62Kbnjak21Y4J9cHG1LHUoUbF4aNKvBhL5w6zYzvs53CEc7SPTrCkaXCsq7VScShXmen2HfiUTyalOgMY31LbWX7Oa8fEbrHur+ae5YXC/c7fufg+AP7tx78X3yu1WBrtmZuKhW7j6Pnw5f/u2H7v3f3jdOpwOBppglCehLaMnTTMdJtGgiJ8E+cjjj46n7E8KwpbQrA9SVvAmukRW+To3Qrn16y6y7nUIixck4+RxDM3xDVJNqvLjjEMyiTpvpUqdnao7lrrsVeu/RSPn/uG6MB3MYgRtBqcdtTMaTjA6HFthcIpptT0Fh50/uuXvpffsPvdQBBeWco+5/1jLGXF/Do/p5evfojd7a/Jjmgy8paaiWxzzr6Jmil7vMrUholf6n85juJUZjtGh4coMAzS+rVd5AtFBfRuharn4v6t1dxOJ09d1zBrSj+6BxHVrnuVxezZIdI0TmES2Jo+ysG61PQWTg8fuvoX+MoL35Ydq14bzsoTWWn4JJKISnJ4x7W1437dkOrK7MbEM9khKxVGQ+TVxOwSQ+htaaKCfOdCaYE1E5xv8dpz7RbrXLcXz4XFqPh2rEyzinMQ5utB1yx5/aUSr4eD5aeZz55BJfQVTvbExYj5vD7PYfPKXR1TofBG+e9e/j6++dwfw6N09JydbHFGH+Fye1zNGOAnrvy/+KZzf5Q2ClOlaHCvTXZCg1Jxl8sTUquzjtWodY/LLXuGVmiDarPXQWfAmAl97KG9bm4tW2wxexYYss2OZrHk0g9/8vu9U7x89UM8cuZXh+wRM6Rbr/VanqM1bi8HNgqnH6X06S0UCoVCoVAoFAqFQuG+oUR6C7dMaqXx7vPfzrY/y9qs+Ojl999wnysHH2dr/rbcnmcxeQRrhnqZjoaJBLGqkCq0zj0j0+rqOM05pSjm+9QhRdJMc4TIScPl/Y/dlvecoqtJtMbIvTl1jAniO1ZC+mVq95JYTB69J+MqFF4vv3QppDC/7fxvYWFmtKz4xUs/fMN9Xr76oax+Pq5/g816dyC3HQo9u8Pto1Hkce1/IilBj9N7X4+acUo19L4L6cxMQ6simWadAydDhOZukiJFTkMdo6EO6YmEusFptYO7yxGjQuGN8oGrP8BvPv8n2K12aL3yt1/5vhtu/8Grf46vOf9/C2KbeFpd5nThRpYYbOw+0WQBTp/TiWtqQkueVldRlNNiICs1J32AZftqFozz9K9LJC6nPWtUdI51tEcFOe8FXjuc9lQMLYpSKrYnpHu3I/HRwunntEV6i9NbeN28lqN7lMPVZ5lOnsqiKUmQJgleAUx0Ts2URkys7wvP9dogaqjNIrcuGrc8UhyN22Nqz4R2Ivr6Hd6mfRGAM1vvyGIUqp7D9b1v35EubuMU7/R/GmsRnimcRlLf2Ztl7/Dn80LauJ+l6lDDm5zco1gzzedLqtEN+w9q8k2/H0WpgsP8emv4035b87eBB286xMxfs6/33cJrjyWkNqc65j6mIHo8lZ0VVfjCqeMfXP6zt7T9xy//Db7qwu/IwlRJNyQpnBuxWK1DnaqAampDBAjUhK4RSI3EfuPJCXW6DrW+/R6T6gzOt3mecauMHeXp5Kkswnm36ndvRG230X4vOOYMWgljXYXKTG6oCF04Xfji9BYK1ydFSVNvzBCtnIaV1Igj9PUNPe/CBSS3F4kXmkpS/VmP1xVrDQqwL1754G0ba2opdL8wmz5NbRdUUcHxqMgFJFGruyeIUyjcS8ZKp+n+OGJ7VAU1173FFmlH9QE6t87RY+dbDpvbt9B1v/W8nU6eyrc3ehar3+hxbM2Uuio2pfDg0+h+zr5IauZOOyqZ5r7hjp5e13kfHxffGw2ZIRoV6L32NP0+zreo9lko83Y6e6/Xcb4TPHLmV2PNFGumsWVbFCqNnTRSRLq220XMqnDPKE5v4a6S2nn0vqXzKyo7Y641lhqPw0lPq0t6mo39alkwMQv23JcRXGiXJFNaf8Bh8wqKv2HrnwcBVU/nlnjtmdVnQxQrpk1BEONRHJWdM58988B/HoXCkHob+2J6siI7hChmdnjVUFehxZmRGmumIYVZwv3erWj7fZxfh2jnAx7Z9Nrmz8b7BSqD8M4YwWBjC5RC4UEmC2fGf84vs/JNSn3udZ3F82x0ipPifOdXWdCq8yt6t8T5VRDA1Hi8BxTFBWdXKsSGVm+DwnSds0jSYuP24jkOlm+85WPhHqKClj69hcKN8dpjtKJ1h6EXpz2DqIl1Hy4aRxfTn4NjFzrthTozg6HhIK8W3s3WQfcS1R6RoCK77q4xq88Co5rD2PLASoWTisXs2Yfmsyk8vOgoKqkanOCjkcvwILlHt0YnrnOrmL58SO9D9MZIRdM9XCrobX9ANWpblFD1GBOmCbPp06+rBrFQOC2kUggTVZtTmr8xJtfw9r6h96scvRxnl6R61bE9Eanp+6t38V3cGyqz2FDJD4tpfS5nC+2WWgzhszRSc37nXbdNd6Vw9wnqzfd6FLdGUW8u3FWW68+FXm7a43zDur/Kyl9hxR6dDCuDIkHiPrQ1CqIIV9wXcb7JPfA8/qFqct52L+fbqj5fUEJv0Xpo++JDWydjKuazZ+7VcAuFO07TvpjFXBQfI7s93rd430eHd3B8nW9xvqX3LYfty7T9Aev2Em1/gPdBWKZpHw6Ht+teHaWCD33KjVRDv+GY5t31S4xUGynRhcKDxhcu/0QQliOUUaV+s44Or10U14xtC9XHaGaIYHZ+RdNd27AnTfvSQ6Ov8fLVD8Va6CY7uYlUMuF9F6LhUYyzMvMbHLFwGvAqt+XvblEivYV7gtceKxOc9izdJawcMLNnqRh6z4ZaEIvH57SjVIOXRCYeNsbpQSH9qqGy4TPz2ufUqrxtWdcqPOAMqs2pXjdMSgWTFU1FRtvGiG/XL3F+DTjQ/qFM4U36CkcZFhD80JucIepbKDwM1GY+2JVY6wtDFDOdD8439L6JJQMdaH/POjzcS9JiPIROE51bUcX+36FOOtiUupoXW1K4J9zRGbGIvFdEPiUinxGR7z7h+W8UkWsi8rH49z13cjyF+4OmfZHKzJhWO0yrHbzv6dwhTjs6XdJrg9Mui0X02mAwLMw5ZnYXIxWvXPspXrn2U/f4ndwLBoc2XGhbGreXlazzBSfWLBYKDzp9fynX3ybHNbfJ0D6nIKbMiPQ8DI5y3196aCK8Y5r2pY3PxGtPH2uaN53hUNdbFtEKDzpfvPIBvnTlJ7OQpqXGab9R757ODSM13ve07nCkL2Dp+0sbmVkPCxf3fjaL4KW5SOdXUXB00Fdw2m8ICBZOL6pyW/7uFndsqUVCccRfAb4ZeAH4WRH5MVU9Kon7v6jqt9ypcRTuT3q/RpylMoNSqNcOJLYE0D7K/5PTnLfYZU9e4cVrt0+h+bTRtC8xnTyFSpzEm3gB0YbOrXFRYMNpEJQoq6mFhxOHKjnSi4SS99puhTRFt4bYRqN7COrtbkSwKU9uLASkNPGhXnFz0aBQeNDxeAQHwf3FjdojpudT60WI/XMxdP3Dkc58PfYOf57d7a/Jn4sQW1RGe2KocL6hUUdtS3rzaUY5fS2L7uQV7NcAn1HVX9agLvK3gW+9g69XOEWs1s/T9vu07jCn6zrtaNwejdujP6JymFoUPX/5x+/FcO8rmvbFUK8YI1nON7T9YW7nlBi3cikUHnRS7VyIRoYowriVkTWTjb7bwEMZjTmZTeGvo5FwGFKeC4WHgZevfiiIaEpNJdMoeLcZ6T3aLrDYk8CVg4/jfTfoLcRSq7H4l+Lp3OpeD7XwkHEnnd6ngLHU4wvxsaN8vYj8nIj8jyLy1XdwPIVCoVAoFAqFQqFQeCPo6UtvvpNO70nv4qi49UeBZ1T1a4H/HPgfTjyQyLeLyIdF5MOvvvpwp448SKybL9J2ezkld91fo3WHoYevW7PsL9P4A3pt2NZz/IvLf/PeDvg+omlfDK1XYq3iWFESkuCXKemIJ1DsyYNLqqsbfvcu//VuSdcvY2ozD2UN7/Vo2hfz7ZPqeSHak1LTeyLFpjyYvHjlg0GxOYpYjUWtvO9OjPgWAvvLT21kjmgskSif2YOFv01/d4s7eQV7AXh6dP/NwJfGG6jqnqoexNs/DtQi8sjRA6nq+1X1Par6nkcfffQODrlwt/Ha03Z79G4V1f06vO/y/71fYjDU+vApq74W5+bPYEyV6xaTcIRIEOAwpgZgMXv2Xg7zvqPYkweX44s8g1hKSKvrY7/r4rwdJdmSVMMLm4toxgSNgO3Fc/dwlPcnxaY8uPgoEglRER6LweTOEt4/nJ0kboakYO21j/OTwQFO/2/N33ZvB1l4qLiTV/6fBZ4TkWdFZAL8duDHxhuIyBMioZmEiPyaOJ5Ld3BMhfuOIGOf/nq3pu336PqDbCg9HkepJTvKl678JAfLT+f7Q41vmyf1giliVoWHHAvYjRZGheOs1s+zbr4YbUe0H9EBHrc/K9HewsOEH2ljJPVmYyrsqJc1lPPiJPaXn8JItWFHUh91KNHe08/tSW1+INKbNTT3+07gHwO/APyIqn5SRH6/iPz+uNlvBT4hIj8H/CDw21X1aAp04QGm768CDufWON/mthlee7r+gMPmZfbbl1jK/r0e6n3LYvJITmdOF5HerfJqdLmwFB4Wuu5VRKqgXB7/AlFxVXt87PldOJlhknp8emCkzpP8QuFh4OWrHwJAZFg4E2xeTE5zlnJenEyVWyeORPHU42JrtCKOd3pJ6s234+9GiMjTIvJPROQXROSTIvIH4+PnReQDIvLp+P/ua435joaAYsryjx957K+Nbv9l4C/fyTEU7n9SSxFNEV+/AvUgBpEpvVvxxfWH7/Uw71tevfYzAGwvnsvpialPr6hh7/Bol7BC4cHFmCq21wn3w2KQ23B2nV/fo9Hd/xyuPgvAfPZMaDEiFYqntnOM1Fzc+9l7PMJC4e5jpcJB7JzgcjkRRMc39+ktjLly8HEAZtOnGavEQ1iEXDdfvN6uhVPAXYrS9sB3qepHRWQH+IiIfAD4d4EPqur3i8h3A98N/LEbHajkYxTuOSauBIbUl9hSBIeqyxOuYbWwcD0Olp+msnMmdovazqjNnNpu3+thFQp3nSFSmS5xFpEakZqU6ly4Mav180yqHayZUNstrJlSm9JXs/DwkcqFVN1Gn97KTHI2SdEJuDHr5osYM0GkQqQCzCgTp1C4Pqr6kqp+NN7eJ2QPP0Vog/u34mZ/C/g3X+tY5Swt3Bekfm6b+NzQvCpNzG+KawefoLbbTO2ZrDj5yJlffa+HVSjcVYYJ6Kaaeb5dJls3xd7hz1OZKRO7hZEgjPfY2a+/x6MqFO4+WdQtiuMZzIZ4ZOG1Wa2fz6J4lZ0VYbwHAK+35+9mEZG3Ar8K+BngcVV9CYJjDDz2WvuXK3/hntN1Q4uHqjoHhAuLolF4pi+RmVtEsGhM5yzpiIWHidX6+Xx7OnnymO0orbxuDRudXhdr71659lP3eESFwt3lS1d+EggLPiIGFDxt1s0wUuGKdsZNYc0k22SvfS6nKJw+VG9revMjIjKuY3y/qr5/vIGIbAN/D/hDqroncuuvXZzewn1FELYCaxb5YgKGHfsEX3nh2/ilSz9yT8d3GkjCG4XCw07qxTudPAkYiO2KjIQIw1j9vHAyZdGsUAikBZ8LZ96N2VA4L9wsxeYWrsNFVX3P9Z6UUJv094D/TlX/+/jwyyLypKq+JCJPAq+81osUp7dwX+L8Mt+eTp5C8cXhLRQKr4vk/CYWs2fL5KtQKLwuLu19dOP+fPbMPRpJoXBv8dx5IavY2vavA7+gqv/Z6KkfA34X8P3x/7//WscqTm/hvqdpX7zXQygUCg8Qy/Xn7vUQCoXCA8K4pKJQeJi4S01mfy3w7wD/QkQ+Fh/7DwnO7o+IyO8BvgD8ttc6UHF6C4VCoVAoFAqFQqFwX6GqH4LrhpS/6VaOVZzeQqFQKBQKhUKhUCjcFIrg706f3ttGcXoLhUKhUCgUCoVCoXDT3I2a3ttJcXoLhUKhUCgUCoVCoXDT3KWa3ttG0VovFAqFQqFQKBQKhcIDy6mL9H7kIx+5KCKnQSrvEeDivR7ELXIaxwync9xlzHeOm+4fUezJHeU0jhlO57jLmO8ct9SP5pTYlNPy2R/lNI67jPnucRrG/cD0t1IoNb13GlV99F6P4WYQkQ/fqNHy/chpHDOcznGXMd8fFHty5ziNY4bTOe4y5vuH02BTTutnfxrHXcZ89zit4z7N6Cmr6S3pzYVCoVAoFAqFQqFQeGA5dZHeQqFQKBQKhUKhUCjcIxT8KROyKk7vneP993oAr4PTOGY4neMuYy7cCqfxsz+NY4bTOe4y5sKtcFo/+9M47jLmu8dpHfep5DTW9IqeNr3pQqFQKBQKhUKhUCjcE96+/YS+/2t/12051jf+b3/uI3ejHrtEeguFQqFQKBQKhUKhcJPIqROyKk5voVAoFAqFQqFQKBRumlLTWygUCoVCoVAoFAqFB5bTFuktLYsKhUKhUCgUCoVCofDAUiK9hUKhUCgUCoVCoVC4KYJ6870exa1RnN5CoVAoFAqFQqFQKNw0p61lUUlvLhQKhUKhUCgUCoXCA0uJ9BYKhUKhUCgUCoVC4aY5ZdnNxektFAqFQqFQKBQKhcLNoVrSmwu3GRE5JyL/z9H9N4nI373HY1qIyD8SkV8UkU+KyPePnpuKyP9XRD4jIj8jIm+Nj79LRH4qbv9xEfk/j/Z5Nm776bjv5Dqve+J2IrIrIj8aj/vPReSd19lfROQH49g+LiLvHj33h+PYPiEiPywiMxH5KyLyMRH5eRFZxdsfE5HfKiLnReQDcSwfEJHd0bG+ZvRe/4WIzE4Yy432/+NxjJ8SkX/jOu/lDe1feDgp9mTjde+kPfmD0ZZ8UkT+UHys2JPCA0WxJxuv+0btyVfFMTQi8u8fee698fz7jIh8d3ys2JNC4RYpTu/9zzkgX1RU9Uuq+lvv3XAy/6mqfhXwq4BfKyK/MT7+e4ArqvorgL8A/EB8fAn8TlX9auC9wF8UkXPxuR8A/oKqPgdcicc4iett9x8CH1PVrwF+J/CXrrP/bwSei3/fDvxVABF5Cvj3gPeo6jsBC/x2Vf0OVX0X8JuAz6rqu+Lf3wW+G/hgHMsH431EpAL+W+D3x/f6jUB3wliut/87gN8OpM/pvxARewf2LzycnKPYE15juzdqT94J/D7g1wBfC3yLiDxX7EnhAeQcxZ7wGtvdrD25TJiH/KfjB+P59lcI9uYdwO8QkXcUe1K4H/C36e9uUZze+5/vB94WV/D+ExF5q4h8AkBE/l0R+R9E5B+IyOdE5DtF5I+IyP8uIj8tIufjdm8TkZ8QkY+IyP8iIl/1RgakqktV/Sfxdgt8FHhzfPpbgb8Vb/9d4JtERFT1l1T103GfLwGvAI+KiAD/WtyWuO+/efQ1X2O7dxAMK6r6i8BbReTxE4b+rcAPaeCngXMi8mR8rgLm8aKwAL70Gh/D+H2Ox/IbgI+r6s/F8VxSVXcL+38r8LdVtVHVzwGfIUyeb/f+hYeTYk+44/bkVwI/Hd9XD/xT4Le8xsdQ7EnhNFLsCbfHnqjqK6r6sxx3Qn8N8BlV/eX4fv52fB83otiTwl1BVW7L393iVDq9IvI3ROSVZFxvYvtvk5AC8kkR+f/c6fHdZr6bYRXvPzjh+XcC/xeC4fizwFJVfxXwU4RVRYD3A39AVf8l4N8H/oujBxGRXy9Desz473+70eDiauhvJhp14CngiwBxwncNuHBkn18DTIDPxueuxm0BXojHOMqNtvs54N8aHfsZhovcmDy28TFU9UXC6uoXgJeAa6r6P93ofQOPq+pL8X2+BDwWH/9KQEXkH4vIR0Xkj47e938lIu95jf1PHOPt2L9QoNiTxB2zJ8AngF8nIhdEZEGIxDx9o/dNsSeF00mxJ4HbYU+ux+s5B4s9KdxxlNMX6T2tQlZ/E/jLwA+91oYi8hzwx4Ffq6pXROSx19rnlPFPVHUf2BeRa8A/iI//C+BrRGQb+FeAvxMWIwGYHj1IXBl91628cIyK/jDwg6r6y+nhEzbV0T5PAv8N8LtU1ctoUCdtP365G2z3/cBfEpGPEd73/w70J2x/4jEk1Jt8K/AscJXwWf1fVfW/PWH716ICvgH41YSUqQ+KyEdU9YOq+ntvYv/rvs83un+hcBMUe/IG7Ymq/oKI/ADwAeCAMOk9af+bodiTwmmm2JObtyfX43aeg8WeFB5qTqXTq6r/TKIAQUJE3kaoe3iUcDL/vphK8vuAv6KqV+K+r9zl4d5pmtFtP7rvCd+vIaxAvutGBxGRX0+ocTnKUlX/levs9n7g06r6F0ePvUCIarwQLzpnCbUqiMgZ4B8BfzKmAwJcJKQFVnGV9M3E1GIR+cfA48CHCd/jidup6h7wu+M+AnwO+JyIfEfcD0K0JY0tkY7xrwOfU9VX4zH+e8KF+EZO78si8qSqvhQvlOl39QLwT1X1YjzWjwPvZlhpvpn9Txrjrbz+zexfKJxEsSdv3J6gqn8d+OvxGP9x3PZGFHtSeBAp9uQm7UlMqz6J13MOFntSuCv4U7ZkcSrTm6/D9VJkvhL4ShH5XyXUkbz3no3w9bEP7LzenaPB/ZyI/DbIiqNfe8J2/0QHIYTx34kXFBH5jwgXjD905KkfA35XvP1bgf9ZVVWCkuGPEmrg/s7odRX4J3Fb4r5/Pz73b8Qx/N4bbSdBQTIpKv5e4J+p6p6q/pXR+/hSHNvvjJ/Bv0xIY36JkNb8L0tQfRTgm4BfeI2Pdvw+81iAf0xYwV7Ei+q/Cvz8Lez/Y8Bvl6Ay+SxBJOef34H9Cw8nxZ7ceXtCyigSkbcQUht/+IYfbLEnhdNJsSe3z55cj58FnpOgDj0hCEH92A22P/o+iz0p3CEEvU1/d4sHwumVzRSZjwH/b2AsUPQcQaXudwD/lQyqfPc9qnoJ+F8ltL/4T17nYf5t4PeIyM8Bn+S1RRBuiIi8GfgTBIGGj0qorUmpLX8duCAinwH+CFG1D/g24NcB/64M9Tjvis/9MeCPxH0uxGOcxPW2+5XAJ0XkFwkKh3/wOvv/OPDLBPGE/5KoOqmqP0MQoPgoIf3IEBZRbsT3A98sIp8GvjneJ2YU/GeEC9XHgI+q6j+CYzUv19v/k8CPEC5EPwF8h0ahiTe6f6FQ7MkGd8SeRP6eiPw8IZ3zO1Km0Q0o9qRw6ij2ZIM3ZE9E5AkReSGO60+KyAsiciZGjr+T4LD+AvAj8by8EcWeFAonIGGB6vQhIb35H6rqOyWkpXxKVZ88Ybu/RlDS/Jvx/geB79agklcoFAqFQqFQKBQKhZvkbVtv0h/4ldfr4HVr/LaP/EcfUdX3vPaWb4wHItL7Giky/wPw6+PjjxDSnX/5pOMUCoVCoVAoFAqFQuHGlPTmu4CI/DBB8v7tMQXk93D9FJl/DFyKqWb/BPgPYkpOoVAoFAqFQqFQKBQecE6revPvuM5Tx0SqosDAH4l/hUKhUCgUCoVCoVB4A5w29eZT6fQWCoVCoVAoFAqFQuHuo1qc3jvOI488om9961vv9TAKhcJ9ykc+8pGLqvrozWxb7EmhULgRt2JPoNiUQqFwfW7Vntzv3M163NvBqXN63/rWt/LhD3/4Xg+jUCjcp4jI8ze7bbEnhULhRtyKPYFiUwqFwvW5VXtSuL2cOqe3UCgUCoVCoVAoFAr3jpLeXCgUCoVCoVAoFAqFBxIF/L0exC1yKlsWFQqFQqFQKBQKhUKhcDOUSG+hUCgUCoVCoVAoFG4a1SJkVYhU1QWMVLTdy/d6KIVC4ZRTVRcA6PtL93gkhULhtGPMHADvV/d4JIVC4TRS0psfQh49+3XXfU7EUNkFi9mzPHb263n83DfcxZEVCoXTyDPnf9OJjxupqKttppOnePb8t/Cu87/3Lo+sUCicNhazZ098XBCMmWLtGS6ceTePn/uGMkcpFAoPNCXS+wY5Y9/EW86/ly9c/omNx6eTp5hUZ5jYLYypqMwUVc9jZ7+e2izYa15gf/mpezTqQqFwv7LF7rHHppOnmE0uUJkJlZlTywKjhq8+/+9QM+VF9y949drP3IPRFgqF+5nKzlnMnmW5/lx+zNptjN3CyITKzjBSY6VC1fPU7jfRuD0u7v3sPRx1oVA4DZw29eYS6X2DnNcnebN/O+8+/+0bj1szwZopHo+qx1LHC0vN2l2hMlN2t7+GrfnbmE2fZmv+tnv0DgqFwv3CN577Ls77x062J1LR+5bG7VNpTUeLwfKqfg4jNY+f+wZ2Fm9nMXuW7cVz9+gdFAqF+4ULZ95NbWfM6rOc33lXflykwkgFeJxvqc0cwQJgpcaaKU+e+3Xsbn8NZ7bewdntd96bN1AoFO5r9Db93S1KpPcN8iY5T4PDqeMbzv1hLtovc7n/PACdO8SaCb2uOFu/mUYPqM0Cp11ebjC+otclIjNm06fDY1JtrMoWCoWHg5U0/IrJBa60M75+9w/wAr/IxdUvIRjW/TVMjMY0kyVWaioNC2lWagB83bFsLzKrzjGdPIVqj0hF0754j99ZoVC42/S+5Uz9JL02AOws3k7b7wHg/AojU1Rbet9gpabXhpoFU7ONqqOyc7ruMlO7w2L2LIrPC/rXDj5xL99aoVC4xyjgi5DVw8XzfJml2cNg+Qr/Vrb9W3lC3sTVxTWeb/85vW+Y1jss2MVJj6rDaUPn1ogYRCzWzBBMmNDiETHsLN6O4vG+x2tfHOFC4SHgorzItJmwZ/Z41F/gCXmO2dZZDtwrXDz8BYxUTOtdehq2dJcDLuG0o9cGg6GSKVuTx2K0ZoLzQWZiZ/F2nG8RMfRujdeWrnv1Hr/bQqFwJ+n6Q9pqhdcOgHl9nll9jnV3lVV7Ea89lV3gtWdqthExrN01vPZA0CWZVjsYqTGmCjYEw8Ru8fi5b6Dt92jdISKGg+Wn7+VbLRQKDzAi8jeAbwFeUdV3xsf+NPD7gDSZ+Q9V9cdvdJw7lt4sIjMR+eci8nMi8kkR+b4TthER+UER+YyIfFxE3n2nxnOn8Hh2/WM8p1/BxFjW2uJRKq14dPpVzOpzTMw2Tnqmss3c7LKwF+jcIW2/T9NdC86t9ogYvO9xvqX3awCcX6PqUTzTyVMsZs9S14/e43ddKBTuBJ+9/KMsZclj+ghWDE56zvsn2LaPcWb+NDuzNzOtdthiF4PhHI9zTt6E1w6nHev+KiIWpx2z+mxIYzQVxtRUNqi1WjPBSIW1Z6iqC0wnTxWbUig8gCzXn8Nrh2CozRynDV47vPZYM6OutjFSMbFbAExlm5k9S+sO6fyKZXsxLrx3MQXa4LWndYf0fknnV4gYrJmys3g7j579Os7vvIszW++4x++8UCjcDe5ievPfBN57wuN/QVXfFf9u6PDCnY30NsC/pqoHIlIDHxKR/1FVf3q0zW8Enot/Xwf81fj/qWFLt3jSnONNWzW9V9aHjrW2LHTBSg/ZrZ7hGfcsL+oLOIFtPcda9vA+OLngkbj24LVHtQcMqgbVJAbu421P75ZYM2N78Rze98wnuxysQ0ukksJYKJx+vHiens0xAs3hWWqxnPW/AlvXGDVMmDPXOR0dO7rDS3Yfr12OxlQyxYgJ6YpVi9eOykxydomqZ1KdCQttGKyZoK6nqi5Q2QVdfw0A5/bu8SdRKBRuByKWqWzjTM9E5szsLnvNC1RmGqK5sg2ERfypbON8g5EqO7QiBjGWyvY5aqwa5i6KpzITeqB3Kyo7x0jNY2e/Pme1ee1KJLhQeNDQuydkpar/TETe+kaPc8ecXlVV4CDerePf0Y/nW4Efitv+tIicE5EnVfWlOzWu242o4cwkCEDsTgWYcaWpmVrDrJnQ+o6FqVnoDg01U52y9teYVNuxPmZK71ZM7BYihkP/KpWdoRoEJlR9dI7DRcbaGQDOt5gobFPZGb1bszV/W3aKKztn7/Dn79XHUngAObv9Tq4dfILtxXN5oUbxZTJzm9n220ysMLPwFYttVr1nqzbUy2dZa4/Dcc7OecXtM5WKRveZ2V28dkzsBTpdsiNPMJE5X6pCVGenepw9vkTvwyS2MhNEbHaCRQxtv4f3LSI1qh3TyVM4f4iRKXW1XVIYC7cVIxO8thiZgAiooiganarC7WHZXmR7+iSOnjP2CRo9YMKUnemTCJbOL9nhMVayh9MOS83EbuG0p5JpjPJuY02F8w0ihq36ESDUDIdFthpDz6Q6E2qBzRQIzraRmnV3lTNb76B3K6yZMK/PU5sFL1754L38aAoPGBK1LcYUe3JqeEREPjy6/35Vff9N7PedIvI7gQ8D36WqV2608R1VbxYRKyIfA14BPqCqR3tqPAV8cXT/hfhYoVAoFAqFQqFQKBTuMxTwt+kPuKiq7xn93YzD+1eBtwHvAl4C/vxr7XBHhaxU1QHvEpFzwI+KyDtVdSz5d5Ls17FguYh8O/DtAG95y1vuxFBfN0/XZ9nvHNu14bCDyggTY1hUwjN2zpdXlt1pxZfXFTUTpjphbnejsvM0pxEBVGZOZWdYM83KiW2/n18r1fxaM8l1wG2/n6NuIR0pHEvV5YicHkmhPlx99i5/SoUHAVXPzuLt+b6IBYXtxXOnKgJ4P9sTgK/aOosVWDtoneIBK/DW7RkvLTu2a8uFmeGFaw21bDPnbGiHZuqgDB+taqUVT9hfyTW+TC0LHq3fzjX3Ij5dYiDrBVTVhN4ts2ie0y4qP9fB7miPqGExexYgZ5947Vmtn7/bH1HhAcHEiCAaLvuC5EyD08T9bFOm1Q7ON1TmAo2G5LtKQsaYYLlgn+EJfYzPcImehpluh2wQmedUZq8dViom1RkAalnQ6ZJptZPLsIypcu1vJbNgi7QDqTEm9QF2KB6nDaKWp3a/KeyLYW52UTyfvvR37/ZHVHiAOY325DSh97BPr6q+nG6LyH8J/MPX2ueuqDer6lUR+UlCEfLY6X0BeHp0/83Al07Y//3A+wHe85733HetkGfWcNgptYHaCB5l7WBmhd1JzZfWa6Y6wdFzKCt6bZhV5+j8ijoKSFgzxWnDrD4LgPdBPbGys3zbQ0x7XlPZRU5/hnTB6ZnXu3R+lYWxgOzwilgEz9b8bRsp02niWyavheuxmD1LXYUUfOdD+4v0G7qrTdZuA/ezPfmDz7wPawSnIQ3HGmh75WrrOVMbtmvLlbZjp56yrVustceamh0u4GKN7kr2EDU0EsTwzvAYaLADc7OLo0PxqDo8PZ2u6PtD6mo7KDunFGdC7a/zbbRBPijNi8kLdUaq3BPYjFLLSg1f4TWR09Xq4kbcrzZlPnuGSbWDNVPWeo2ZhPmF045KZnh19DQ49UzMAhR6CY6rx2OkpvdLAHrfhG4TscuEpUbF4wgOhZUpiqfzKzpWzMyZEMWJjnDnV8zqc/RuhaqncwfYqqKSWZ6jOO14evebmcg2no5GD1j3V/M858rBx+/+h1g4FZyU2lx4sDlSDvtb2PQvT+SOOb0i8ijQRYd3DvzrwA8c2ezHCPnYf5sgYHXtNNXzAswrw9opUwvbtfD8fk/rPc+dnfDEHP7pl1sqhCfrbV7q4KJ5mT46DRO7xVx2WZkrOO2zyqLiEWPzxaKnye1GIDm+g8NLbG0kJjxvzZS238dQRZXGUL8XAu9xD9+jMeKTjjOfPZOfC+2Uhnq/4hA/3BhT5d+J9z11tYXB4EZRw8Ib5y89/z18x9PvozJwphZeWXnW3vHYbMLuVPj5qy1elSuN47mtM3zy8DJLrnGWR5nqNgudsy8ThKD8DGA0RmXFs8UuS67RscJGx7Y2IaOk75fZ/oBDNeoImAldf4AxE4Dcai3Zh2HhzGWb4n3PzuLtIRuA0QIJYKXi8v7H7t6HWrhPCUKOiiInJn0V3iir9fPsbn8Nqp5aFvTEBUsMExb0rLHULGXFI+4J9sw1VgQBOyvBITV50Twtoqdz2mI47mj4uKDm6Gj9QbYPNi6U1XaLzh1S2XnoOa4HzMwZOl3Sa8Nh/yqNCRFppw29b/PcaHf7a7BmGtTno5NjpC61wYXCPUHwd8l2i8gPA99IqP19Afhe4BtF5F2E0Mvngf/7ax3nTkZ6nwT+loRZjwF+RFX/oYj8fgBV/WvAjwO/CfgMsAR+9x0czx3h6S3L8wcOiavWZyYWr5anF7B0MDGGfef4YneNq+Yil/zz9H7JdvUEAAvOgkAnK3pd07rDfGxrprTuEMUPPfIkKDt732aHNik7ezU0/T7GDF9rboc0moymFMajDE705m2A2fTpvE8aR7p/v0SJrT2DSE3fX7rXQ3mgSJkBKdUtOcBeQhp96ulYeOO87yvfx9mJcNgrTuHc1LLfCY/MhIkRnIbk5JfaJXVnedW+iKpn4bdw0jOXCqNnaOhwWDzKSpZMdIJRQ2caUKiY0nCAYOj9isrM6PpraJzQhsUu6NxBEBqKj6mkhTKXUxVTycWYkBHQ5sfHTi/A+Z13ATC1Z3Lbk7ndzc9/4fJP3ImP95ZYzJ7Fmgn7y0/d66E8cOS0ZthweDWmjZSUxNvDpH6crenjTOxWLnNq/QETs82uf4RXZE3NhEM55EAusdZrtP0hU3uGXhtqMdRmQa8ha8RSZ6c2iFcZVAyCpdcmOMrUILDqL7HuroX0au3xvsNqz8Ru5VToHkLqdRTM6nyIAjttYjR4BQzZar1vQvlXms/gMcCbdr9xQ/QTQgo2hEjzF6984K595jfiqd1vKg76HeC1orzFntw57lZ6s6r+jhMe/uu3epw7qd78ceBXnfD4XxvdVuA77tQY7gbPbDleXQu9V661Qb575TwTY1g64eX+gIVMuWxfYalX2DaPYqxFMEx1gaVixjZGLBVTrK1Z+7DSmldHTZyExkhuzxrn+jyxNFLFmrsKlTAJ9b6nqmahPi9GhdMEFQAJqYnpQpEcl+RAh7ZJR5xgIV5s/FA7HC8+s+nTqAbnPEWL0v5HHWgRw7r5IncG99qbFG4ZIUT3vHY5qgfh+z/q0BReP08vPC+uDFda2Ft6nCoGODeBvU75krzKGX+GK+YyADt6nlon1FTUWuEFFqbGeKHR4ExYtbTS0EpLrVMsVYgCx6/tkvssk2qLtt+id/t5AqE6LqvoMDC0Uot+SrInKfI7pusP80Tb+y5v5wgTYBFLbT3ONyGNWrscVXpq95voYlplcob9CZOWlMFyJya1zre3/ZiFiCqIBXUl0nsXEMJ5UsucLbPLjC06Onoaenou6fO51/fEbuXzcNyeyONz5kZ6zuOpZIaqYyKhVVGnS2pZ5BZqTnu6uJhvpA77xWwyT4eIofPL0EM42RMsIpbKDNcXd2Rx1cWx9TR5nLWE6HElYVFFY4r207vfTKvBga5kmt9fr0GNOkWvE3fKMdUyP7mjCJIXzgp3niRkdZq4KzW9DzKPT3uc1ggwr0It3lu2K85POoxYvnZnl0/uX2OpV5jKNnM9E8R//A4Gw9IMkV3BUMk0rHoSHAsRAz46lxIuIEYqTLUdndl+5Fz2QJUd0XGkZYjGxW2jU5oc5vExUhpj6hmc9kvbqfqNFOg8/iOT3pOcofTYbDqUco+d4nEKd+pPrByNQLuRcw5jEfKjDnbhjSMyLGL0bh0WS8SXz/oO8OW1QQi/aCPQeuXRuWWrgrUTvrp+iuebPc76XZ6XT/C0vgMVz3Y8Zzv1LH2HwxGXuXJ0Nkz0DILBqMVg6KRhu3482JqZxfmGw+ZlnDZ5TBoXOjxBzMqrwRy5dKTSiSpmnqQJqvMtlZkFZ9c3IeNEhxKKtt/L+3uC6E2iNouNSWKqGU6OdPgX6grfcv69od2KBDGvtJ+N6Zep7jC3Z3KHOT3ba0fnVtnJHdstPXWX9FPCkXre8US1OMC3l8PmZeb1eYxMafWAHbnAtt/GYhHeyr65woQ5V7tXqew8OKyYUM+rDb0OTmWaRVQyDTYjOtPBkayjxQkR4DPVm5jYLQ67izi3RqSiqifRoR2cWe97Ol3n9OeE4uIienBIjdQ5uywtwMYNs85EWpAVa4KOgQz7TsXmhTUTSzsqwlwrpUrLaNEtvb80ljBfqvO2AJYKQ02rB/k4KbU7lbHVZjE6/qZzXSgU7i4lRPMG+Fvv+tN8+MqUziuPzw1v2YLLa8fVVmm8cNALLy07air+1fpf5qx/hJXsMdEJW8yCkdQQdbEEY1rLgpk5w9RsU5u4WhpXTMdO5tFUHjieZup8S+/XG85qYhyFdS6kLnlt8TGtKLD58whO8CjKO6rn2zgmxyO8KR3aSJUvLOPnjr638fqRxIl6ep/H8aP/PVV14YRtCq+X9B0nkSPn2/ydWDPFmumGqnPh9fHH3/Y+nj9Qnj9QWq+cm4TJv1OYGaU2ytW2Y86ER+wW3zj5tVy0LyFqsCI06mi050CW2eHtJEZAqKk1OMYmfnfj8yqpuXZ+FRe9DJywGJWyRrJN4eRzvotO5ZD14bKTmUg2LIn5pYW+8V869vgPgjNbyYxaZnFyanL0Jrw/mx1ejw8TbYZodK5Hjq8xjlSn95fKRLbmb3tD32vhBFQhLpTI+F/qQCCCtdv3eJCnm7p+FIBpfY795iX22hfYMo9Q64SdeL4fyjU8jjlnedPkawFYuksIltYf0Lg9Vt3lfN4m5xKGBSUAQ00tsw2HsKcJ52kuffDR2Qyp0YINWWnxnBYxGFNhzTTOF8I2IVut2ThXk+MKg+3J84joWDq6vBineHpd52MkhzkthgmGiikVIXU62ZBEGEeYo1kqprLNQnaZyg61zDBSM5E5lioGLmZUZpr7FQc1/LA48JUXvu11fqOF12IojzDRnpjR7SJ0dSfwenv+7hYl0vsGmFnPEzPh5y737E4NZyewO7UcdMrX7l7ji4dbfOxSjZUpnSoLXbDSOQCHrFmbFQ0rrIavwYuj0hoXLyadLrPRFuxgjFOEItb1ZgXn6FT2bk1yTv11UvRS+6PkTJOiJ2aLEGEdtt2M6JmNyevmcz4fMz2XJrYnObpHj3/0ddIxYYhMX5/xZLoLEyYN0fFxRNi5vRsco3ASKYVeR4sqIpZJdFacb7B2ziNnfjUX9372Xg3z1DMxQuOURSUc9p6JFRaVoXHKM4uGma35hUnNqrc03rHfBzE6J45rrmFf9ulNH+vchD4KS3V4amo6aaNjGc71mmmoBza7tLpk2V6M51loVYQYrJnTx9REETAyHYRpzCSmvcfIiTq8JDG98Jyxddx+WKwaL9iF2/YGzxl6XVPLgtYfIGI21F49Dke/cfw0iXZ0J0ZWUhQ62DGX7crG62ZBr5AlM508RbZFR7JPuu7V1/V9FwgpzrGcZlzni3qsmd+rUT0QGJlgzYTazqPWxxadrnHSc76esO0rXnZQaU0vHZ0us6bIoVxi1V0OSsuEMiuRsMjptcPIPKcQJ5sCg0L8WvdQdaz9Hk2/j7UzZtVZpvYMV1a/TGXncQ6yWbIgWGozz6nLKcsoi2oamxe30uuNS2ySzUj/O0LKdohIhzH2hBpiVYfTnko2j5lsiYklPZZqw26GBTSTBQI7aaiYYsQO44ktnsaR4vT+nHY8tftNeO2oZEo/yqoBeOnqP3ujX30BsNXZYKv9CiRU5FizwMWymcLt4bQlkxen9w1wru652ll2JzWtC70037wFX7EVDNyrTc2sCupmH+l/iSd4E8/om5kYyytun56eKfMc7TUaDGwvXa41SSurQTSipvXhorSp3uwwMsVrv9Fr83jENkwuxg5nSDsaLhJDyl+LkUl+bHCePUcd0s2I8KhueGPb44wvWEcvVhsRoes6vEePPYr4jpStx89X1bmctp0c4Ko6R99fve44H3ZSaiuQo/xeu9C7MUZ6ISy6PHr263j12s/cs7GeZl5ZB4fXaahx3KrAzg1blfJqU7PXGbYqOOwdV/SQi7zEU+4ZaiquyDVWcpijLx0dXjxGw4KTR6Pado/HUZMW2mLrkRRJ1XDOWjPBa7/R+mxMWiwzUmFMvREJkhiFETFYqeg1pg1jMKbO2wFZtT4972JKYZqEOg0OrYoP6cuESFEvDVbrY4tp49RmCL/To+NPju54OxGTr95HVanDPsOCz6ZeQYe1oXdpsifWbuPcwWt82w85EpL4Q69vATEYmW44L5VdMJ89c1+IJJ5OPLP6LJWZs/QhetuxYuG3OOxD+cNZPc+B7HOgl9hvv4SqZ2K3ssObzvHeN1Rmmhe3AHZ4LLc/A0CHLJKOiqUe5A4UqQXSMi4Q9W6V5ynpNZz2zKpzoZWSD+ePlSoL3UF0SMUER1ZC3W9yaHNmiHq8jOcAYW4GyT6EtkpZiFMcSRBrjJE629OKOi4fDsf04vHxNc1o4c5SUzOll02HPvQn7uhY5XpoF2uaU8208w2Pn/sGOneQFe4vnHk3l/Y+esvf/sNIKo1IGQKKx5s54LKYVbHPDzfF6X2d/Ny/9of4FbstH3j5CR6bw04NFyaOq53lhVVFbXb40srQec/MGs62F3i83mJqDaves8WMTjtqreNk1NJLT6UVUxY0HMS+mzG9J6Yd25jq43xUUzQTkMnGpGwQqEqPDM7p4MT2+DgZRYeJXKqrGV+Mjta16UYa9bFLxchpNRtK0mHfTWc2MXZ4x/evx0lp3iE6vXmxO4qOapur6hxgUe2xdjs7dGMHuK4fxfvmoY4Qe21zDWdlU5/WOqafmaHmN160d7e/pvRTvEX+2Fe8j1pgVsFnrvW8/VzNhYlytYMXl9B5y0sr+PThPgupedl8gS3dZcfMWPs+tygyavE4VtLFFOCQ6VD7OSvpcXRUTHH0WCoWusOaQVdgUu0AxJZnYZFDdQJ4eneIp6caR3hNsF+9dtlBTpFb5xuMGXqEh/9jCnLWEnCsu6uk/p+VnYea32i70gR7HA0J6co+t18ZH1+1y5FcgwmTWT1qLyxsCPelbU0W6ApPpjH0G7ZqvNiY3pP6Nju/IUq5iAOLznucZFmzQHVkex9CjExAQrphyCiIWUpmMth/huvUbPr0HRQ+fDBJqeGdO0PrDnF+HZxHDFfMRaau5pK5zEv6i2zJBQ77V6jsnFlceOh8VE1O5w0+qvaHMiqPZ9vvcM1cZqE7HJhrG5FPUUvb7+HxbNWP0Lg9vG+xZspiEqLF6+4awOB8Ri0Ai8tR0OTQptKEoyVcuT5X3EaK5BAsqDYyScK5D8bUwT6N6ogdoctFSps2GJTgEFdM82MbWSbabTi8isfqlClz1noYnO+4bdqv88sN5xkGUS7F0fslRmounHk3AL1vObv9ztEiRM3e4c8P3/VDHr1MacsptV1RTMxCE6mw8XcTbMq0CBTeRpS7m5p8OyhOb6FQKBQKhUKhUCgUbg69ey2LbhfF6X2d/NNXzmNQvnJH+ehleHQmzG2IzBiBK61l5YQLU8Nn91vevf0YqkplQnujFS2dtMx1xkrWdNIy0Qm99BxwEYNharbBbNP4A9THepTYp27cF1NjGiIwWtEKkdJNJeYYtdBQw5uVkLM6YpUjtGFbP4p8DCnN4xq4TfEpNnsEx3rj8WrxmJzePKqf23hegtosSh7HuHZv2OZkFEWORn3z9imSvJmCrRqEsMaR5oc5ygsxMkP4LVkzpbazvBoOgzK4jiJf53feldOzCq/NZ/Y6VOHNWzVnJpbWhV9m64WtSum80DrPk5MFn+i/yFke5S3yGFaEpVeumYv02tCxDqItNCxkF6NbJEGriU6YMqOTFoen0oql7AOwkF3m9S5BUTkpG0NqQwYgviWUUsTU6FjGMD4jQ7SmyREJCCmKKbJRmUkUr2EjygKx52Zul+SyTQgplX6UthhSmJ32OdJj835+iPJcpyY09BatUExok8KmSvzxOsFBNR6GiPL4PRN1EfJjsQ2PqkOQOJZgax7mKC+E6IuYCcQsphThTdlFR2usRUxJc75F0u9uVp9j3V1F1dP1h+zxAruTN7GUFdf4MpVMudo9j5Gahb2AwdDqiq4/DCVUpG4NoZwq9dxdVBdwOBa6Q4XNUd41B0gsqahsOP9Cx4kaaIeSGJlS2XmMXg4icuv+Kp2E2n0vNYLLNb6Kx5qh3dDGeW+mOB1a6kG4HlmZH9EgcVkIy4/mLj2DUJalzj1+dZS+PBbqNPE9B92AUbmYdjjpaXRFJ1G9Wad4GexZei+qPkaohxKPZG9DxPe4nejdGms808lTeG2jvXt4o7wbqKKiVPZMnJtWUQQtZEVm+24mVNUF+v7SvRztA8Np629Q1JtfJ1dbOOyFhfXsToWv2mmYGM8v7cFn9uDzh5baQOPDpCl90Fcax8WuwSBMdUaPYyn7dDSc5xyv6Gc4dJd4RN/CV/ivxlLRxdS4Pirn9i4orCYHNfSiSylCHV4bXBa5Sn9HBKe0Z5iuOiAZ5U3l5HDMI87qCc5u4Ggt3Gbrj3DxPJKeFNOnj6tRMzrOmOPCNMe2kwpGaZYnMVaMHr8fGU2egWIYgSSKZs0kpLf5Pqc2j52DXFul/sQLduH6XOqXdOppfXCWHpnBpUb4xOWOVQ+VgTdvRaVlKh7R83Te82p/yEvmRXptcIR6sbVeo/EHnHePUWnFVb7ELmd4Sh5B8exziZku6KVnxTXWHNDo/nDu4qnMLI4sqLt730Yhmzle+2xfnG/p+iVdf7DR8sf7QVzK47NgzWYJQ6jJMyYovBoMRwWvEqFOuMrPp1rg1E6l1zWdX2bnqTbzqIMwmtj6JtTU+RW9XwVF2GyvNhfTxnZsWJCzJFv5Woz7RY7b8fiYNvpQE50Qa2Z5UTY5vOMF27zQ4fvrCjIWro+1O6y7q6y7yxDb/3R+xR6v4lEu6JvztnN7DsXT6orWHwwibqPP/uzsaSozx2Bo/AGOnk5arsllqljDutZrtHrAWvcwElKIu1H9ZO9bmn6f1h1u9N22UsXzP6Q4h/KrbsMG+NhuKJfXxFRjG2M3Vqq8aDZWcU6kFOKhhKvOcwQfyyJ63+Ra26TsnOt6ZYqN1z2Py05tcmLDMS2OjlZW+JFNcclG6ZLUO1jE0LnDUK52bI4WU7dTKrXv6N0a1Z6230NjPfTN2KKHAUEQM4slExXWzHJgKM2VTxZMLTxslEjv62TlQBH+D7vX+MX9C3z+cMIXloIqbMcgWOOC2+dRlr3yudUePZ45sXcuHic9nTR0umSpj0QnwvIlPkVlpux3Xwo9Jdl04kKfyyobvyBs1SGxl12qr0snuNfQIzM5Kj5GQ4LDV29ELsakKN7xGtuTHd+jzvUQJSEfZ8xRpdSTOKkF0sb+G+PYjLjkyK4mJefj9cPDZDasOF9PjXU6eZLkyDfti9cd74OGjCYJVqosXCUbq98ut58wmGM9Fws3xmJp1PGmhXBxDb90TbnW9jhVZhVYURonbNWGaTdFVUHgi+aXmMoOaKh7VVyeUK7rFWsOUXW8KC9SM+WKfInWH9CZFed4ExAmc40eYM2U1h1izZTeBecsZYsMkyyyajwMtblJKCQ7L7HOe1BKtvl46X7q6ZtUYSU7qENURDAbk2MI71PiBHlcD+jxWEyYmI7sTIjkDsccR1HS42Pb4mIExY8iXeNv6jUnmrLpvIfP7LizG+ouw2f1cAnphcWTaX02CJ3la9GRSF3OxCncKkmjovehr7oHuv6AM/O3cF6fpNaaxqyZcYa1XIl1qzV7zQs5Wyx99jnjCqjMlLndpWLKFV6m1QMcQT9gLrtYaiayTceKXhsqM8dpE1Sg4+JSZaZRr2Q433vf5iis9x0uvbYd5j05c4Q6XntC7S+xtREEwSovXdScGLUgi8ezUm/83kJPXZdv29hSyUehLLJjXWfBUYScoWajqJZXh5Fgr5L+QOhl7FkTPiOvHWu/t/Eb3xDGYmiV5I9kkrT9Ab3bz99Hd4K9CPOTcL1+mGrgxw5vXW1TmRnG1OF3FG350PGkQaTG5kXdwhuh1PQ+JPypX/FncBomoh+9fI6tSvny2rDXep5cGF489MwrmNrQY9OrcqXtssMrIlyUlznkClPZpteGQ3eJL1mL957OHbDyl7PjECZ+PYaQPpxaEkEyvuOv0aFRfbV3hxttH7xvsGZ+zHkMDu/RSSmkyO1J7YVERsJR1+HopEWOOELj4x5VYR2eD+nNRwUsTjzGSEDr2GOjVLmT9oMbO7spimVSH8mHgEn9OF57KrvASJWFhmozz5OMNl7Ae9/ifZwoiDkm1FG4Pu8+/+1g4BE9z8rBC4cdHsWpsjupefHQYbctnVc6r8x0hohwTVfsyGNM/IRX5EpwelO7Dam5xAt58nZVv8RUgrhNagPUmhVTdrICq/MhalofSwkMC2zOr/PCWni8Q0cLR3mxTQ3OtyEzYNRbE4aJnY2lFL1vGItchQjgdLRY12cF5mSLUvu2dA6n31qaMIrYOPFMJR0hhXBD3VW7nHUydrATR8WrAjcZVVGPINdNO7RmsdHCRB+Sy/CkfhznV0zqXayZUOVyiS2cNhipWXWXgbG9T47Lyfa/cBxjogCU8cAsn0t1tc22fZTLvMR5nqSLQnBb1WMAtP4gKDSbrdjiaJtZdQ4RQ23mWcFZ8ey5L+G1C/vGjAvFs2UeCVFQXeXzDuICf3Q2PTW1nbFqr4Se72KoTB1bIQ3q0ABOGypZ5EV8F7dBfRaq44iD2LsV1vhYwjAsqgvJQe2P2DcPo0U9iFko0Z7M2MZoDDjEUqtkM1M0NyzwDeJ6gkE0lXU5em2ifU52LVw303vImTBiER3UnCGJcvnrllnNpk9v2OaHJX0z2FGlqnY3SiRm9bnw+cZFn+Dsrkb7TW5w1MKtcsp83ofkansb+Tvv+R7OTio+ccVz2BmemME7zrR8cVlzYSq8uFSuNI6XV8FgzayhEsM113DFXMT4R7kkr3LAJZb9JajgsH8V5xsuuc+O0vEcnQ71ImEiOEzarJnlWgVierOYGao9zq/iXMEfcRZ9THnuSCrHw4TLA3XsZ5YmmPGZUVR5HHUdR1lOqsUaI7nmbRR9ZtQGRDdTnI+molxPzXnYJ0RgTtouRbKH7WCYwIb7N+q16aLBNDLFmMlDs4oaWs6EFdFptRPa1MSJgJU61JpHByK1qundir315+7xyE8P/9aFP5Xr4VrteGnpcao8Nq+ZW+GlZc/FfsVBN6XJ/SMFpyFLpGKoy4UQiREW9Npw0H+ZyiwwGqIPagZHayJzOl1jpabWKYd6kT6m+6ba2ml9jt6v6foDrDm+8BUyOcZOsAd6vI6irNpv2C6AXrvcuihElTydc/kxdUkpdtMGnLQAdzSiK7j8m9ywUSOHN6VPHlVkHrdPC5/T9TJQUm/ZE9A0Ub1+nZ3m6HcFUj00mgHWzqir7WBLYuqr8yEaWJkFq+5y/O4G/QmvfemDfAsEBXEDsRwlUdlF+NypWekVXompuTM5k7OtKjNF6vD7703LojrPwlzASh3ScsXTuD0O3CuohvM19cCdmm28hutvFVuJPWK/glfdZ+KxwzhSbTFVWmwK133nm7iYP9D5FUaHdmi9a6ntDKvRdjBkcVQx+6hxezlFuY4L/vkclnSeu2Mz9ZSZEjYbMuocHZ00+blap1it6FhztIVRKrXIcxgZani7aA9klAUy3jeXeOFxOqQ0p9dt2peu+52n9PMQ4DAPTxaaVNR2K5ZJVLHsqoq/twUHzUt434Y+8zHwITErspStPbwUp/cWeWK25mcvb7NdG3Zq8CqsneFN857GCa+ua17sr6HieaY+Ty3Cy90hr5gvs+aAV2xPp2uutS9gMOy1L4QLhZ3nGrNJdQZxBzT9/hDNiCucWTwmCktYM8tGL00S0iQ0eL7uSPrxqBF6ckRzJNSFdOQURdm4MJzscB69rfgTl36GbXuOlpKPI8JhIjsImhx1psNte+R92dH/aXKdIr6brVIGTn68rh/Nk6wQ6Wzy+DQK6pzZesdGy4Cj1PWjQBCAOo0XoLp+dJR2OsttilKETXGohmhd64cJu+JZFof3lhCBmQ7ZGHutY+k7tusJVsAa4UAOWeqKXXawCFdkiUE4GDm7nV9SyTSkFEpwamfVmbCgRshQ6PyKSqYgsPZ7LMwF1hq+vxRxndqQCZJaEHnfb0yeRdIkdHAiNQpXiYSJZ6j/HS4tOVUvtQCKUZ+xQFVo+xOFrGJNMKRJbZiUp5q/jSivslG2kSeU8TWdhr6/4bd7RAQv7zPYnuP6BzAIWB3VCBhtl+3fpvEzMsnCVcbM4UjaM9pj7ZkbOr4mlxPUp7K/ZF0/GiamUjGxWzki42iykyvxO02OT1j0uH72TeF6eExsl5XOQZFJSPmU0Gs21I8uOWufCs9jmLKgl445u/TS4GzHxGyjeBoNNb5n7VNc1s+jJmRjJHtjMCy1Yds8ylr3Qp9eXdJI2AZgGWtX07mebhszCcJ7bh2d33bUcjEIzY1bC4WyhIPcMi+VJ6SyjFRO4X1Hx1Dnm9Nbc2ugQTQPhvmJO+LIGgw9TY7g9qyZczakQauPM6xByDG1SAPC5zaKBI9faxzlDS0rhzGkqG/STRjPUarq3EYpxHz2zBFNl/41RZqCMCUg9lRqDEwnT6LqqexWjvCm65SIDUKKavN3bswU1RQ8mt9wAaFw65T05gecLy7nvHkBn7iiXHTwtm3lXN3z6YMpnQr/4sqaCRUzJhjgheaQPbMfLih6hlWcZM6qc6g6GrdPJRW9W+G0x/mGeX2eXswxgxdWxlvYmKgNKXpGKlI/1eM9cPuRc8vGJE2QGPVN0V17LN04TTY3HouTzfHr5RTEG0Zmh9vjxweOO8Zj0aTk+Iqk/dKkdDyhTPsfT0k8Gk3uulepqnOo9hgzx0b1v6Pp2d6vUPG0/TC2rfnbwuq1O4gXs2Gl12kXj3v91KT7AWu3MWaeJxsha6DK4kUw1FOFFLFQ19T51VCzyfEeioXX5gV3hbOyzT6HdCiXHSxkwisrx1Zl+EJ7lUosC52DQKsOi2VtQs/NNBnbto8hGFb+Spjcaqgh6/wK7zu2J4/TuD2MrdEYQUgpiok8MWRwLJNyc1pFH0fhjjJEK47U1QPjtMX0W/EcUUAOTwLkurtkA2uZ5+2O1+SP7A9DlPfoc2n/nEp4xGYlu3qyhsCNU5uDsxsW2rxfYWSSbauJ6doS31x2jLXPdSKp12bq73u0jjmNITnASZPhfsSYOakHb1o4m9ZncbHzALBxbfPa0bs2OkJ9nMS2WeSqcGuERYVxlHeGiKU2c1oNC18zOYNRQ8MST8eMLXoNmSPXeJVz1dMYgiiTqMkZISm9eWbOIGJp/EHo/yuGPfelje/YmjovlqY+2MmuhOyxowvRx7O70iKISjxHPXgM1k4Z1+l77VB/dIHfZ3viRlksEFTkITiq48huWrTvabBShXpfmo0+ums5yKnLkISsjneVUN/lsor0Gkl1Po1PNVQvj8c97sQBsFo/T1VdiJ/pFvPZM1lNGwYV/JTFp+o3FtKOLrYl+yP4bE/g/rYpIjXWbgGWSXWGutqid6scLEqk+vDerQZhRQwKTKrdezP4BxgFFHnN7e4nitN7C/zkr/1uOj/j+QNY9UrrPft9xctNjUf4zB44DVPGToNK84EcspR9ap1ywCWmsk2nISrT6TKolkqNp8+Gea95Ma5khpXx3rcx0luBga5PQjIO1OYUQzEVbqRgqhKcsMzGJFHzJGzzuWScR07zKM3vmCMrm9ucKG41co7Tc0fr6DYc6lgrfGxyG+eKG1Ge/BbcsbFdN7o7ej/eN1h7Jn6GI2Gm5PAeOabS0DvHbPp0vniP2z+hPcoQ9bpf1RWNTOKHl4TM0oJIiLQbqRA7pNbnuspYY+0gX2zS77ZEeW+Nr9v9Thw9V9ijk3CBnuqEpbac0QmvrMO5W2udU5o7epyE39REJ6gErdG5nompeFMMNS0djT+gMhM69bkWrvfLHEWtbEgrDROFVVCFl4rOLWOd3SxHbYOWwHKwJxtOahKVMnhtcnuekIky2YjAHo2sjkn1wEnQRtXFY0w5SrYzMVUxCamN7Y+/js3yG5POIynUG/u4jec2F/I2o7xBrRlQt+HwJqf2mMObbqsiMX/CnPA+8/u9zycWMoqahQWywW7P610qO0fNnKTQ7EcRdZ8dl+H7E6mOX2sKN8SaBZK6OkhYgDES0j63Zo/jtGdqZkxlOygSa1AbTgssU53RyJodLkQb39OxZsY2HQ2HXGEmZ2l0j6W7xNSeoe33ciqxkYrKzLOQ3NE6ViDX+lszoe0PSCVXacE1zQ1CJG8ODO1mNlsDNRuOJAwt1GDQEEjPG6lDeyDfbogsjh3esao8DAtvmGG7IEgVsi0qmebFxTHj42gcZ1KHTo7u0TGeRMo8mdSPbwgEjh3ezdrkLj8W9FsWo88gOboy2KX7mLE9GT+W5oMGw7w+j+LCHDkKL6bA0di2hxKbOc63pzLzrnB7KU7vLfC2C1fY7x7lsdmE/U44XCt7nbBlQ0/LMxNo1NFJx1RrWu2oqZnonCsa6kB39TEumy+z9nuhDiVeD/qYwqMSjPvEbqF2FmrypKF1h2HDKCqTmpcM6cybTl+YNOwfnzy85kQiRE03jOqRqDGc4Pym529RiXnsKI+3OS5sZUaRXfLkKYhpDf1hx88fjf4OznK6ODqyQmWalOYLWLg4nTTZVO3p3RJrJhuTt3Cg6gRnO9VahYnIvYj6jlf+hwWPNM50cQipZekCS0x1T20iKrMIK+r4fJHp3Qqv/UNT53w7sWo5wxZXZZ9Kq9Cj2xyw689xbmK40ihrXWHUMOMcqprPi5mfs2+usevPs5I1U53ipKc14Xtp/Sr0oB05gmmRovcNxtTRMeyOTRAgTiANJIe2ssEB7n0TIpRAUEMfogWDLRoWstIkd+zQ5ImLVHgGBzSRRPsgpLmKDGmAJzGedPYxO2E8uRwfd/xaRzM5xp/DUYd3dJT8/lLmzNGUZhjbk8G+nLQdjCO/x1scjY+FOkhKttlBNvckRTE59icRIlsVqh3T+gK13aKOtqPzKzyhDtSYii5G8tpYypO+o66kIN46UlHZHZLwnKrHacvW9NGcZtz4AzCww6MYLCjUTEPUV0KP74Xfyam3zoRz68C/Elt+NbkeOzmFwVENApoQaltrmVObBTUL1u4arR5iTI34ZE+mONPSuQOMTHB+TV1tbziuoYfvCXODHCkebkNYnE0R2JNaAEGI8B5tZXQjQc2kQF+NFgfS6dj6A1JNcVaM37ClwbZ67XOLNe/7rI2xoSifMu0weZ+jYwOyonwapxtlYwWSo705bzk+J9m89kOyKffGnpzk5G48j6DqqavtoZ93XOjERM0bQnP7oDGyJvRED7/RktJ85yjpzQ8o7Z/8nXz20ptYVI63bXdBuGpWsXbh0m9FuTAV3rrY4tPLngNZhq6ZchjTgc4GQ+WJ8vZ1NqKhfcd0VIMQTuqJ2QJAxVHbGRLbmoRV0sNsKEKvW5NTDgdjf4KhE0aRiRSNuL7e3zjSejSlcGO7UXrhjZ7fHB/HHkvObHospRudtDAp8f0kx/eowxs+z/Dc8Xo8Fz+vmIopo4vARpR6WCENDwzbhvSZk/qKDvXCIZVy/H7vfvRCpN6YdIfPJ65GIzG1eZJ/P6mGMy3AeDzVSfVPGupolssS4b1Vvn73D7AjW9QYKiw+fs6P6HlaOraqoBWw253jmuyxzyG9uNAyAzBMqZnQ45jHft9NFKepNdTSqYSeaanFUBKHMib0uEwR/FRfOe6zC9D7QVhGMFR2kc9J75L92VxsS4srR1OPxwtSqfZKo/DN+DXSvkftxVHH96RIh0+pzd5nOzpmnH5/UmnF8Jrj9zQ4uRuPpdsbjx2J4o64noN4U9tsGL+TnPC7y3gBDY5PqEWmuWuAqqc2i1CPLUEFuPOrPGHNyto5VfN06iDca6zdprI7sTRl+H7Ozp4OdlqC6JSqo9c1Kn5oC4ShlTak9FKj4qm0YiUdXjwzncdoZajx74k9k31IL7V5ESs4wxO7harn0L2ClWkWmcqLSvHnHFJT22gPYmsgM8kCnc6vc4r7xpxgdP1BNx3ZXL/rfBQuOt6vF4a05pPmM0frcL12dDH7ZGx/upFzuJGuH59P0V0f05w37M+RjJd0f1Pcc9PxHTvDm7ZqtECn7XXmc2M7O9gTPVaKcm/mJzd8HsHYBZVdBG0HU+dMyCQWlqL9oZynH343slMW5O8wxel9ADn8/f8OBxcn7NQtnTd85mDGozPhzXPPXi80XvjsfmhRZIWQ3kxHI2ssNSvZ4xH/ZHSCg4pfEEjw2ZBWds7EbIfG8BpEFiw1vTZxFTGsNE6rMxy2r2Diyq3SARXeHYJUGDONDkwo9A+GNKYYaR+iMyn9Rvvg+I4cuUCK9nbZQTopJfF6DvBRxnV4m2xGlfPxjzi4m7WCo+04HlkeO7zDY3WsV0nGNU1qT1r99EdSv8N2x5zf2Jf0JId7iDSNHF71N1R0vWfERu7BQQ/CaJWZ4vG5rUxamU5pYb0u8+RjVp+7t+M/hXz97h8AYGEqHpvVXDk8xIjnOfsEIkLral5chov4WTvFuS0aaXMKtKPnjO5Qa81SlrSAF89VXo4LRAYT6/AUj5UwQavMJNeT1XYrpKyz2U83RIkm9C6VSUxypNb5lsougoie6RjOAb9R7xuOEzUGzFjQKvTmFJMWpI6nD4/3HyZ7Ybv0+zs53fiENGZ/PFpyvdTqkxfronN7woLbMRtxA4f3jRCSEVMaZ6objq96j2rwFI1RreF9BqGwML7KbuVIY1AMNrmXKwJOOtwoxdO5JUFALKgMF24diXZ8Vp+NTm7FE/VXM2OLpdlnpdfotWFud5nIgrUeMJEFtU5xdEx1xpSg1N9IQ4/jonwB0TA/MRjGCugiht63IW0Yh6Eayl3i64fbQVQoZQalsoneN3jtqavgyKQ2Z6H+OPwGnG+HTBUhpGObKh8/dQxgQ2jPRMcotXscBI1OdH5vsJAPRBtpQYI9cUBt5iHCe3TBW8nBjGP25Yid2riPx7l1HEfokjG2pWneM85Q2zz+kQW4I699UpbJ5v3h/d+XwlZi84JO/l4lXN+cNPQxZb2LvaDDIlr4rLZnT97LkT/waPw7Tdyc11IoFAqFQqFQKBQKhcIppER6b4IvP7/DfNZxrZ0ws4537+7xc1d3MAI7ledLK8PzBy0za7ECC5mylEMsFS0rLHVcPe054BKOICqzSHU2esDCXAipMwbW7gozc4ZeG5b9ZaxUoV6F0Euviu0fnG+pzTZtv4eYSUxjHVRIgVz/6wkritbMR83ZDZqiBTGioZrSTcarmB1HW/yMI60wpPdcr6b3+qIkx1OPj0aTc6T4hFrfVHsaort24xgp6joe90n1v5trPwZJ6c7qOJYWdCyVb4hYgafv96iqC/H76fL+zh9stEO6W6TUZhhHqU18LxWV3QriHnYGGOoqpNRXZpJreHu3oqpCaquVCi81lw4+elffx4PEIrYosiI8uyPAeQ57z+7UctiFhLMX2n12ZMZ2VbHlpzS0THXGUg6QmCXi8TSyxhNqwyqZhjq9SCUhYu+lwxIib0m5uJcVRuqceuhtSH00pmbdXsnn8lAP3OZzsLIzkgBNbbeHlDsfW/6MRaxOiAKPFV7hSC3+ScJ2hGivH517qX0RHOl3eUIU5WjE91gt76iubiiJiM+fFAXK6dAx8qp6TCjmdkV7vbZBkEYq0IZkT7xfHWtfcjcwMjkW5U19YQUPxMi/Cd/PvD4PgKVmItt4OlpZod7nekiAtnv5rr6PB41JtYs1E3brZ+lpmMiCc+4ROunY1rMYMSz1Elvs0tPlVGYv0XZo7FdPR0dLIytqWTDVEHVt/EGMmnosVc4MWbYXAairLQyG2ob/nfYbKvKz+iytOxzKI3yfz/tQbhHKaZJwZzpXu/6A8JuvwvVfQ9TXxawRIEf6TJz/iNjcsgZurDNyUs1wvj1Kxx7rA7Tps4hR5HFkV8XleuIkuJTmXskW5rKt8evket4+qzCTj39yV4Tw+d1axwTvV0FdPduokMkmyH2ZiRZa2AURxUl1ZqPNnZfUdqqldYfhGhV/E6WG9y6hJb05IyJPAz8EPEE4s96vqn/pyDbfCPx9IBUF/veq+r47NabXww981ft4bucCj88arnUVRmCr7pgY5ZXGMjPK5/aVqTG8ecuy1yqfaYPAQRcvLJWGerS1hL5tFVNsrGMIxi60Buhj0b2RmpW7kkWEnPbgobbbOO2o7ZxVd4VJtcO6vRTqLtUDXajPjOk+KWVGZIKVWa7tsyakMfW+GRw53UzlC47vWJVw0zkNdcRDLdxJtXnjupVNrtf38jjXd5YZ1fue3B5pjJHpa1w8RvtHgZ6NuucTx7W5GBAc3nOApe1ezu2KgPx46uF7t5xfGb7Q4bG4OFBXZweRoVhPZaWittsE5VyHxIlMJYOTYl6jBqdwfZ7e/WbeJG9nWxc8u1Pz5RV89TmhV8teJ6hC62FHZlyYTui9sq9r+jg5neoMS0UjTZxQxdTfqMbaSbA5ELUCmOKlo/erDefQaU9l5vQaUgSN1EyqLZbtZn/Hys5C7a8P6uapZ+ZscgHvuyElEUPvlniNk6o4WRvX6SaRGVWfUyGT3ThqT4As+pLeSxpDqu9NxxpPSE+cUKrfqI+7UYnGMTtyLA16fIX3R5y/gTfi+KZzdnB4g/idNYt8TGu3AZPtyo36ct5WZLAnoptp3pXdYVKdyQugNtZazszZUEfKoKidJ69iX9N2F26MtdtM6gvsTJ9krXt8lf5L1GJp6DFqcNJzyBVqM2fNAYfuUnDUjKOWBVZq9uQqc92ikXVORTdYGlmy0NCeiOjMOe3p3GE+Z4WgXWHtnN6vEGuzszu1Z2jdIX1UHA4Kz1O8GfrUWqlo3SHb0yfo3GHuaNF014CQ8i4S2helxbfcQk+G629IN67C4t1IoTn1lgc2an9hlL58Ha6X+pwcXRvbkeXfNYNNSu2Ixhy3Tf1G6damTog7Yl42y0Gyw3ud8+eo/Umt1BAJdjy3UlNUQmu1kMpt7ot+4MZMqezZDcc+pMeH+e26vxp+Qz4IhKU2Zzdbdle4PdzOcp67wZ2M9PbAd6nqR0VkB/iIiHxAVX/+yHb/i6p+yx0cxxvilTWcqSueX9ZYgd/4657n6uencOUsT0wdn9yz9N4ztYaZFX5huWauUxw9TnoWup3reGud0tOwxW7u+wawZE2vDY3bo+mDqvOkOoNgscYjcVuDQUzFur+GNRMmdotqNmFv9fms2mjNjMrOs1E2UoV2Eepo3Dqv1IcV1tC0W3NNb3B8xQTJ+6OqgDAyuAzR1/Hjx0VN0iTz5NY915uEjqPLQFzBDc7o0ajQ+Djj1d2jxw8iGVGE46S+ehsXDxOEMMaXrVFkOCwmJAn9Ojux6UI4qR8nRZ9D77zQ2ihcFl/b2b8dhBYWISqXxi5RYEbExIgdiEZ1Zjunys8HB0ei+IyNfVaX7i5Nrh9QGn/Ayi55TM5yaa38+ic8U6Ps94apER6dwodegYWtmFrhYhMXwmLEYEvnNNLSSIj8OumZ6JyeBi8eS81Sr9Dqiq4/CBPU/pBptROOE1WbgTxhTSrPlZ0zqXZYNf9/9v41VpYsy+/DfnvveGTmyXPOPfdZz+7q7pnpnhdnSI6GHI5kiZIFkLYgCoYs2DBk0TIgwJBhCBAsCYIgA/pgCP4gg7AEC4Ql2JJpgYRIWDQgyZAMUyKtIYej4YgzzZmenulXdXVV3de555WZEbEf/rD23rEjT55bt6rr3q7uyXVxcM/JR2REZMTa6/Ff//8j2jir3ZgDjG5xqovdm4omogE631FXB3l7TXWE8z3WXcR7Q+Y00dIFzgRpoWB1Lrqw2/5kN2LETf5Px1EeU8kAm/xFJpoJY+BZaku/SOJ1U8L7SUirbrJMhpOYcRHG7qq6Jf6onNvLbPavJmkUBvqC8E8ptBIfIsRVmtrMGdwarWtqPWemjuS4MGzCGdYLR4WN/rcbTvf63t+vRVRF5875sv4HODQNJ02NC4EQ4KvD9ySJVUssHZVqM12SQmOoGVTHIhxiqNioSwY6unCJCwOXPKS35/TuKpNZKSVzs4kMD0akRNKsFy4IQ2fPmdW3sG4MN42qRgkfRPLIB8u8vj3O+5oFLnb5lBp1453vsWFDUx0KiVVcu03UEE6J7PYsv/Cc1LnzO+EI2Y4Hthmeo+xQ+qzOXmB0i2Ek6brGMbAVG6XffYxBcsEgyk+qWKzcnte9zkngeX4xbiycpeLbdFZXRzkjUcQghATxI+BQrzCHeR6JVeJEEX6AROA4notNfyqP6SrLOKXGzt72dpO9tKQ3hPA+8H78/UIp9dvAm8B20vuZti8eBn7xzhnvr+dUKnD5XsV/+Y03WZgUOFU86jtaZfjGeaDVhsHXXOozTKhYhDmD6rlUz7ChwzFwxgc0apETX4+njyLvPlish1msggZchgLO9BGX7pFATKP8Q28vmDX3GOwKHfXvTNT3Fcii7KcDTJQdyYRNIcEQ55NFwPl1rOoSu56pwJ8kgKYJcJlAJqjDNgx6attEU7uJsibP42Wfiv3M2wjT120/PxJLTRem7ceni9aO/Y6kXkrVBZOtjdBgMa1bfOiuQcS3paOa+sFLhfSlrpCO+0zskKX9ThrQEqDK7605EmbVKEvhw4COcMWyUv74/G+/tP3+Ube3zM/yR+dvYj0cNYr314YLq/jcwlNruLSKo1rz/rrn0Uaul0ENDKqnDS2Heob3gSt1JTqaYUPPKrOzWjps2LCxz0RWJBOkFERQjGyr1q+k66FFIsS6NfP23gjPi0FJbZaYMEzqNbWeZ/mjxFDq/NXY5SuIp0KwuJSvFfdhTmzDNNHN0GWfxiaKx5Ou56Tb64tgx+/8jARVzO9h9APTe38aAF9PYl9WwhsRJqqEftck7e8skXRNSs1jzNHLl0ILNnbW0sCMpjKH8TqpJkUzo1vm5gQfEUxpvZJOYRf3Ol7fr3jk40fNquqE27Mv0aolwXs23hGoCAFWzrHwB3ygzqjUjCV38Npz5t5DKcOCY1wY8MqxUSscAxsvHVYbOnp/ifU9vb2IbNuJpVjnwkZiKR7Z4GuU1jjfsY4IBOe73NV1wZLpscyUCbxz55iofysFtJVof6t2LG556YiG4KE+xkQJm5R8C0IEks43kLuxNq532/6hjFd2MjoXWsA+F9KGfFzCQj6IbnqUJkpWEislpnIhCa1j4So1QLYJsOQeu/ZYLvDd7GtuQqihDARHUIbpiEeQRD84UIIeeNnd3o9ibdZ6mdcQIjmZCxbnEut7THRD0omX73XvT16dBX744M2vBAeglHoH+MPA39rx9C8ppf47pdR/ppT66Rve/88ppX5NKfVrjx69ugv6n3/73+BLBx1f+twTfvb+E95bN1SN5yePLxi84h/+8rv8vWcdLnie+Cu+218wBM9TnmFCxTwcsFEbLFaE2omLf1ix8WcMYZUfq1Sbg1KljCTB7hLvLb27QqG5ck/YDM/weGbVLWo9Z16fUOs5TbWkqQ4j3HBOHYMPEKbWxHSYkq+x+xoTPjTGzCYJXCBAsBnWtLtbu61n6bjOLghjtLy7y7kLZiiLgcu/l/DHsguUIC0p+CpneSkS4DLILWHJ1xP0myCO42tNpsSvWG++LY+ZJT4Ko6f/U4d3DBZMft/LNOdXcVEx1NUxlVmgVUOlZxjdZNiozHmPRZVFdSdDD9O58Xj6sBYm8WIW84fVflD+BODYH3N3pnjnULOygSc9rG1g7RT//Tc/5KePNry/7rnwG77rH7MKPVfqChMqlmHBEBKMTktnV9U4BrpwmRPewa/HGbd4b3s8lZ5L1zYGYNavGNwGG1kvjW6Z1cdoBEKm0XT2fNoRiVC8hALIer8xsAvFveL8ButWWHeBdVc4vynuB3+tIp+C2tE/kaU+BL5m83Mp6M0/ObGd6nOW0h6jLxl9yy493t3dFD/+xBneqQTY929JOzslr1rPSZrIoukZYoc7MsyrKvsR/SruS1Uhc//HwqaqWymy6obKzPP8Lgj8s2aOppZ1LnQ430V9157BbRjsFT8qXJo/KJ9SVbdo62Pe8l9mHo64q47QQO8CRkOtNQ/NexjqXGTvw4qZPspdeK+8FCZwbLhEq1qQIlH+pRxF2F7/kj8xqiLE+8v5Lie/6d50QbazGc7yPH5534y+yuBCN/oUPHnNRBNiMiz/X9HbC2y8ppJ/SFb6h3K0o/QjUoSx+f35vTgC23DiNIc+FuR6d4V1a5zv44+gZlKMssunjaoObvQ1jLFCOtdxb7d+0v7dnGkkXgFUQqupeI4bEkIj+7Hg87ay5OUNqLxP25I6iFb1Nf+ldUtdLWOxdBPH8qQY0tsLBrfKMWkqGuxhzT8YC5/Sz6uyl36VKKWWwF8G/oUQwnYp+teBz4cQfg74PwH/z13bCCH8+RDCL4QQfuHevXsvdX9L+3fe/df5zqrl2ZMFt1+74p/6hW8wdIa7hyv+yX/82yxec7gQUEpRCfiY98MTrLIswiFWWdZqzSaSzxhGGv3U9bVhk4mtjG6Z17dzhVKccayKB4v1a9Kcr1YVrTmi0nOBHWpZNA5nbzI3Jxya14SoxswZ3NW1zmqC56pIiKWUzoFlZQ5QBdnBVCojdXvF2YzOfHt+9+bE96YZ3G2yKSA7tvF3Js+Vi4lY7GzG31NVWs67Hn+KBPRGCz4Hm4TpopPOYakpOSayu5Pncj9fhYOWmd1Z8XkikVWZOQpNZy+wMenRqubKPWGInT+ZnVnQ6GWqyUsn0a84XHz5pe/7y7QflD8BeKwf8e0Lx8UQWNaKzkFrFP/Qg6fMZwO/8kSKVQeq5S4nfGC+h2PghCM8gU0QaDNIp0xjckBrwwaFEUIrVcf57APaCANM1laH+X6H8VoWGPsYfHg8TXWwBTl2OSgtERMJRdDWd2iqEwlUfEcI3bg1L0RM45jCCC0WeZI+Jq1jYlx2cbd/UuKbkucS2ZG2W/4vvw85SJo+74qf6/DBYgMv/F1/HFNKo3QzgSGWxHwSuCYfJGQ9st/mpRfQkok/mWe0kBRKZMzGqArrV6yHp3T2Aq1qzt332ITzmMgM1GaZu2ziV+UaqKo7r2T/X6b9oHyKtc8Y3BWPzfs88PfwIWCUpjWS7DwdOo79XWb6mAN9hw2XBBwLTkaSqnCBpWNQXSTD0/H7cWhdUeu5yMVkeTv5DivdEIKjMQeRFG8hkOboW1wxImXdOo9Q2Nwd9VHHd5E7p7lbi6c2C2b1bRbtg+I8T+MB73uslzUsIQmUEjkl63vRyb0B/h+Cl33xg/ATFP7oWvGtTIjjtQtkP5QLcwWR3/XYZFpQmzQSgh9/MvplR/F9p1+aJsWBkFFpwEhQpaad312JsxTWnuP/PmXTel4U8GRtkFj4AOc2OL/Gx5/L9XcYbJI383HWWwr7OhbkAGbt269k3/f2w2kvNfJWckX+ZeAvhBD+yvbzIYTzEMJl/P0/BWql1N2XuU8f137rmeI/+v3XeUJrUh8AAQAASURBVPrBAc3dwO9+7y6brkYfN/y//qsvMNNC+dBE5kBDxUCHU5Z7/g5Lf8giSEXVIfCwRklgG4KnVUvm6oRGzTk0r8mcrm5H4gctwevGPsuMiLWRmTofu5/HzZss6wcYVdHqJQBDWFFrSW4SfBWYEDyISRKbnHFyPLDlFCed3NLKZHDb2butriv5uMv/P9pMhsLkQHsys2tv2NYIcxzncEsoYzoWMy5GeR/ddDsx8U2BeiLw2d7PcW6XrYVsTA6ufwcvx1LXG4jd3SnJg3WyGMpC7djYM1b2KRv7TK7NmPAmEiulzHNJP/b20XbFKb/mfpvTTliaTzvPnTZwPO/46995nd4HaqW50zbcaRpuu/sYai644tA0HKiWRZhTh0bggqGiUm2uzleqpdFLGnPAor5HWx1ioj8Z3FXuwljfS0BrZjGAXeTgcF7fpjVHeX7K+S7P9KXujdZVhit6P/IHaF3h/CYe7dh9lftAktk00zZC/ab33mjXuzalbXd8Jx2costyE59A2kYZRKeAL1B2c1MQWurSjv9e3I/dbIpdhE662As3TbgnBbT6lfmUBAWtzEzYVHWNj528zl7Q2/NYlBjYDM+46N9nNTzCBxsRBIsIRzUFT8Pevh/z3rIIR1g8T7mgjj7+fLCEeM3c9a9z4u+P3UuEFE+hadUhC3WSEzlNHUnojCSlZk5bHQoKRFf5WpPC/KgVrSkJpsbCk9HttRjA+Y7eXcXXuJzsjsX3QViddZ2L9j50TIvrsRjme+km+z5fi7s6vpNzxrT7mwpMNyW++V8c49i17VTQud5xHju/W99cjidSV1be4AmJeyRtp9xejst2+c3y9dNRiTEuCS+tePdxTas0E21Jo2NEtv9Qnh+AYBnsU6w9w4c+jtHMJqM0afZ7b6/OfPh0fl6VvUz2ZgX8e8BvhxD+rRte8xrwYQghKKV+EbkrP1NMOf/Z1d/l7x9+lr/4e2/wj1w848NNy+9fzvnd/8jxuxcVWllmxlAHzcYrhlAz5wCFZqFrjnTDpb8AoEJkhyyRIEgtmHOMoeZZeC877GQhuFy1VLGynhaHVi/pw5pKtVRKWPdMLWRDCZ6k1Qhpgrig5AVhughJUCIdmJIxVboihUOmSDyVLnzndnczJZYvHhCOcJXpexJEc3seb3egtwOmGI9L9qkUeLdxUXDT/U9JeZ6LMTn0VMETGPC+z7Dm6wdi8/vzMeT9EYbtTfcubfP6S6PWX8y+ELu1kpiH4KnNQb6GXLEwaFXR26v8d6Ub6fpR0bERBnLVsvHnBFwmMtrbx7dHm9/h/uyneG+9oTFzOuf5nTPFf/zN13m0gaddYFkbDmvN4AOvuyMeWYNGMTOGw6pi01na0OKUXGcDHVUkFKoiscran2JUTaOXbNxI+JFmtVP3xvp1vI8dShmMqiODJ9n3pM5cbcZiXbpHbQw40/hACB7rriR4Sfex0vleSNedptq6z0s438g5oNT1+CxsB534vL3tmeBQ+L/SxsLXTQzzxWM3BYhKPf/5j2GS1N5QUEzbV2osOhXFRIWm699/6ZJo3vdo1cTCRk9tFvHxAes3o1oAmt4K6RHBgoZaCQP8yj0ZIfexCGJ08/wP3ttzzbozzviAJYeooHnsrthsWiyBAUsdajSaGRWH6r7EH7FAf8svONcy/mDjyIRWRmZ18bmIfuG+Bwix3cA6J4lGtbjEAYGfdHe1qhn8mlrLuJUUU6VLmpjZE4mex2cknIxitKIuoQz98ASjD6irY/ohhYdjDJPWtt5e5DEuSPFLiRpzoMfieXpuW+rQMfUvI/eHyyiT0tfINkp0SUqW4zaI41nbCewNxbJp3KB4kRneqXkCQnpnt4knC3m1myzJF1XVnZfKCt/UD2JxRY5x/B7S+MmunlxEt+TvXr4PrWTMIpGe7e3V2WekfvLC9jKvjl8G/mngN5VSvxEf+1eBzwGEEP5d4J8E/ldKKQusgf9JCJ+tU2jDht9fn3HU3GJlKwaveHdl+B1bMTOBRmvwHhekc9NG6ZAKzYBj7QKvcY9T9T1atYzblOroEFas48ykdE1qLocPpTqqKoidukRwpSGzrR7od5jHqq3GUIeWSx7jFJk4JCW5AOvhNEoLjERWEvRe5GpgIouyblplTLNmN0J1iteOyXFalK7r8MLuGd7yuZ3w5+QE1fT11xik2d72CH9MTInyd0VOsoMnSzflYx4T36kEiQT2O4PMyQLlxyA1eNlvbwkqsTvzfSe+89nn0ariav37zGefJ0kPJWbNxhzQ2YsISS3IOHyfoc8AVTHr6YJloe/QB2Hh9Eo0YIW4aDy3B/MvYd1qr4n3MaytjtiEc8645KxrGHxAAb916plXGqOg1nLtuQALY3jAkqd2w9o61sBSN5yFczZcMeOAOrSceZFDs3oTNQs7ls0XALhw71PphtYI4qRz00JYsqQNrhmZyb0fZ+ldsKigMbqls+dxnteRIMaVnrEZnmaoc59gdTm4TMQlIi1i9GzrPh+7vjLD1TCSJsVNbfsg0lxeWd3fPQ5xo13bZopWP2Ipioynn4bt9HeqkuDvhs/I5wqo63uEMHzfgeqdoz+SyeqODn6K3l5k/2nMjHl9wmaQTov1G3SGmVuBJuooY6MMKiY3znfUekHnLycFEwlSx+NOQfArk1/6ETGt56y8cH1UGAyGZ2FFS4MRhW7qGOrd8rewOHolMUineo78EU/0IwbVUYeWhjlPw5DXDOvXWN+xaO6h0QxuHbtsLbVeYO1aklclEGEdIumQL7rAMRFxsUiWzPoejc4cBKmo39kLKjNn1X0IaA7aB1jfkQY7gEyi5vyGbjjLyKsyHsjztcHn55P02S4L1wpP5EJxOUqRHr9uW2zxUCS8no+TwD5f9uw5vi0EUJL4Gr3I8GaFwr9I4qwUxgiJ1PfrT9J2rH2GMUdRFqmMz25C4fjoXoW5efxexgKqL1A+qUhbmUX+/l+5nNsfQCsHH39Y7GWyN/8Ncm/uxtf828C//bL24fu1+8e/hA+WwXyBf/zNNR9sZvzGs4rewecOAnMT+PUnlqsYRF6qFQpNQ8VMJXkOmbHxYWDGko0SRryZOmYTzvAR9pLIrMqFInVftK7zlZVmuRwDs7DEIDDDXq3RQbo0tZrTcylBBi7P6Y1O2FKy4o1BoiOQurvEJDB2OEvYbmnbjr9MHpVsfxeT87RbvA2dNrHDU3Ri1LhwlmLzIYxszds6n9vSBAK73GJmTYtRkfCWVjIg5t/je4ZhHFFPQafAx0ophCALbLHY+cg+6/yaEAZhfC6+9xextnk9zr9IYWQx+0KUdKjwztJUhzLTqedQwXoQfecEaw001NVBhrBWZo6JVW0fBi79o/xcOqcheGq9oPeXHC9/hqv171PX96iqW1j77GPt/x9U6+w5tZ7zRnWLC2vpgmM2aF5fGE5aeG+lgMDKBs4HS601vfcsYzfMBo9WSY4iQtepWehbPOu/I3P/wee5bR1Zu5XSdJEgSWEQohad/4b4HSPakoO7JBFVJa1w7wdChKYmboEhdXrjnKnRTXFvTzstYwUfPBazgzF1LEqZzDVQHusuXzK13UiREhIp7/+ob2r0izsttaBfUo02a3xvJdaZPCv51+Rv0RkSqfV8S6Lko+1w8WUq3UbZF8fx8mcY3FUO4BM6qNJz6sri+g06whDFxmIbEOc9K7yWwskqFgdH+Kh8T0knvG1epx8+xJijSaC+t+dbXd/D+477+scYwoDDoVEyAqEMm9Bjcfgi8XXKTRIPoY+qqYOnYY5Gc2Du8KT7BgMbxvlrB4VPCMGztk8yJFkpnZmURTLIYxD93M6N12O6bry3NGaUPNNRrzcV7NNjQZXr+1gEG0eVBgKjEgOQr8N07SqlGewKr6PcUnxuhGpPO8LT7u9IgHe98D4tuI/7mVAmZXKtx3u2sLLAPulgT2DMpaV53en5mFhMfFM8aczyhTvFUpzUMSbxn/h+FL12iVeNWUqn3JfNDUlolW6KmDSdL4eKI4Oe9J2komksPsTDSWM16Xv23lLX92KivfxE8dXefnRtjwPY2972tre97W1ve9vb3va2t729sP2wSRbtk97nWMDzVvVz/M/euItRa37rrOa08zRaYQM8mEnXwijNKnSYUHGpL3BhxoKGb+hvcde9xjoIfPSSJ4TgaNQCQ02jFngcF+4D0cqLNP9ZuB2fq1mpKplgQJfuIU7L5yeiIa0MBoHwbMI5g7uiNgd07kKgzG6Tt2WyJmRNYlhNcN/StmG9u89TGCnyt2DO41yev7ZteT7Bn8cub3rf9ueV3eH0/chxV2lHrnV50+vUpKNdVmiT/uyObso2UCEe3y4NvFGGYJxHlH1NnyczNgpF8GucqkjEPp+EHMr5HqM1LiTmSOnyGt3Ic5Hdu1YL0ODMgWit6oHOXuCxLKrbghKw51i3nsgRheBwRKQBAvMHRpiXH2ib12MFfC8G/6I2q2/xjvo5ntmOmapoY0eh0nDShNjphbXzaBRrGwmqtOK77pSjcAABFizoVc9AzzIcYtUxXX2bEDwr+5TeXTGYNWt7mrsUSVpEKYP1PZWWmTyjamzoWLvTfN+k7zl1bpwTfzS4NSB8AX0kmAnBx0q7Q+sG5zaM8/LiW8b5uUQ8N+D8rs6tyz4DEhRRQ6ryh+n9v8uv3DQe8SI26Yakbm45u7uDAfV5METxix+f7GocyRilYNIuyeeCCtPXZg3fG6Cbz7PBrah0mxlwB3eVGWu1qkBpmmoZ/YEQyFRmnud5QxBm3trM6O1V1P+uMzx+8OsJ8iYR1cia1mCdxUT4/auSTPlRscoc0KmxEydkmgOH4ZBO9XgCVTB09Djl8BGlcanOOAq36LG0YUZQnp41hpo5x7TVISF4NvYZ3ot6xBCu0MSRLL+OoxAyglUzpzLzrP+d+UmC3McucpMk88EyuLVcd25NZy+mHd7gMGaG9z0bexbngNvcgfS+R+sGMAKLd6v4NwTvMw9KgsoC+TWip2tRRkfky5SNfheCLJlSOvsh2e4WYWbs6IrPG/0eRGCIikiNyUb1OAZyrfNbWjk+xo7n804yQea9oP8RYr6CxR7gk87IBgeoka8g+6UUI9kYs8xzfJtmpUMgyixWhLCg6z8cvxfVFr+PMpzSRZdrxwYvnWZ2kELs7dOzzw4n2gvbPul9jt03P8EvH3yODzeKuZkxM/LtXtnA18/hw03DwqQ5yYZV6DjyIi2ilOKue42lmrEJPXOO2SDQZh8cjoFGCRFIYjzsw5oqMuxqKryvMjlEMuu7SAAxcOkeEvAszB0qWloWDEq0OgOOIc7iAHEGp4mzcgL1TQQiGdqTnH6Em8hzdnRWH+U4c0K49fANCe9o7obfoSSryBtOvC5FYiswanLiWy5UoyMtRejT50hCmtlRS1jTViCrVUXAQnDX4D7WPsPohczNlOcpewQRhM+QzzBAkkN6QdjR1FzBkgtGzzJLt1UVTXXEXJ9EZl8v8laqpQsuBjMuBieXkThErgUfhigj0Qq7ZrBorbFBCEI29izPXaX9+FHR2nwV9pPql/EhcGgaWq25tJaVc3zjPLBxFVeDRyswCgYCM5NgvYq77ojaaAYvxbCKSjTAcaw5E84ABZ06l2DVneF8F6WLliif2LrH709mzwyTubV475gYTEwYTfMMv82EROm58u9xpi0VUoZJ0PI8GTL5X9g8twlrKO/x6Fe2+QB22SToHI/++uu2E9gyyd0xW5sC1GmgWhwPISenH2Ul6ZZzlxizlGDYXyfWIQSCCjnBzbwEeAifbM548OsJGzYUMFFvWTYPqFSL1Svq6oBKN/R+yJD25FNL7e8UzCplcFG7PBdKVEk+lubIRdZqby9mlVlwb/GTuDDgGPDKR/WIAR88FksTGjw1gxqoQ42JRdYFh7ShweZZ4AqPo6bhjA9okhJEKlhMfIHLMone2xzDON9Nvr7Edpzva6ZSPknuB9L6Ko+n60arCo/ImQnpkc6argkeW5kFScFhTHJ1vHZ3J4fbMmx5DpdCQ1iNYxWyH1NW5vTY9Hoti+7bxSc3Jso5lil8FyqPnNxsyf+G60W5LahzOeLg/CrCjT+iIKiiAkW5fT5ZUVt8oRvPp7APZJiyKFmkeFe+TxVnc4VzpIn73l9LvMfCgo//W0AKtL09h1iwv4nIcG9/cG2/utxgVXWH0/AujzeW221gYTwzA482Fq3gT78xcNLAcWswStEqw7Gac9ssWKiWq9ChUZyHFT0WQ82SO1RqhlaGLlyyDmd5Ng5kITFamJgTo6FU1dsozG2zlEClpUNT6zk2dLQsaJhTB2HZTfJGKidaY1e0riKhlj3D+1WsyBUi5b4nSe2U1capjMfUMrvxZO41/lo4nnLBu8nKTuyuIFZmDZscZE9mf3duK1YukwZoYgzMVhxf7lr6fF6kI25yh0pIwK4zjl47B8Vjk3MRhDk6n+9PkPSmhaMyC+pqyaK5w0Fzn8rMWTT3WOhbOAaGsKJCGL49iWBG01ZHBGS2S+dERaRsWr3EUBNwON/hwoBCj5I33jLYy6IyXt+4n3sbrapuMaiBIzVDozizA99U3+bC9fzcnYoQ4M0DzcwoqXQrRaUVRik2zqGVoveSWJwrYdvWaJyy2NBlgrykh+pCl+feNlsz1xphZpbC2Cp315IsR5IfKZlLtyW/ZI7P0FaHUfvXxC5x0vFN970bZ3Ov3c8uvm7siqQ9TDb6DHmtz/fh9fndbTRI+f6dfmfHY4m4btyPG5bJFGxKpAZKcQ0dwovf39fuo5TIxrns8fEwflYo0CXZnziMXrzQZ46btFi3yefI6IbKzKi0/LT1MR6PDR2VXsSZ3dGfVGYWic18lrVKSW5THeQCSojzeDn5if9nvoW4zY+7/38QTeYkI7O6mjGojgv/kD6suOfexOOZhwWzMGdQci9qtHR0VUcb2tgJ9nRKCOwW4RBgRJ4h+t1KGSGyK2bvrVtnHwJSkO/dVdbkdb6bdFC1qiaz+WkWMye3iTAtShwlDdxUiIEpkisVxEqNVuJRAoW2ro4JVcU2s69ce2PinZjoywJe4isoJQB3SRBtz/Wm4xplG0V6MXWEr/kVpXdwiGzd9wWTe/49hOnrol/SupQrGrenVLXTT4k/ifPLRQsv4KQA9zFNPJSJnzeVOzR6FhEfSZqziY8LC3NdLWX9Ia05o29MxREdkW1l7Je/x6xOkbR/9wzxL8NSdvBp/Lwq23d6b7BUhX4wr7hVe96Yd/yNRxW11rx9oPi5e0/44mHLX/z2Ha4Gwyxoehdw0VF0qmcR5nRKbr4VZxxwQhPmbLjkWL2GQjP3B6ChC5dUYQw8B7Wic8JgCOJQTX0b5zvm5pZUVhW0akmCQV/whDP73YmUT6rI+mBxbkNTHzGrbmF0y6r7EGufjRAQVQZosfqeOhihgLt8VK1kEkimiuqOl+0IUNPfCTYkJhDo5ABLJukxKJ86vakVFb/grweh1zRRUsei7NL4SYds16Jxk42FACdQx0/U2d3epqaqFiyaO/n45+YWjVrSsqBjBQyxcAKOQYolqsUzYJLu8VZHHIgEaJ5ERjJEPUWPx7pNrKDLgmXtM+r63vd9PD/qJgQ9c9rQsMZyoGq+rn4Hz8Ct6osc1fDOwvG3n8YimhECK41iILDylrmquAyWCo1Wikv1jFlYcsETarWIckOahYarSD4DkfAlSoOkzp3RrQwVxMQkWaUbKbVF9tXBr3PxLAWRlZlLoOh76uqAeXWHSrVc2UeRbRV2E8bBdIlLv39E9yHYybgEjN3CqU8au8LpuKefvcNUGXymLsouP7cNK4yPqa3PVwoVPlkh66Z9U8EKnPmGcQt23MMfFz2SzmVTyXrivWVWH9OaoyxZ1oc1NjL6JuKiSjcClVdtvrZkey4z5/b2KpOSlb7amIZ+OCcR8jnf4fxKYM6fDin2j6xJEiLorRP1NgR4Eh5iQ8eBvsOcljssecgZGkUdapyyOfm1SoiABgZqVaOD5kw/5oBbJCWJtEYY3aL8OqJG2knhK60NTS0ydtb3USc3QXV1vi7SGESyVCABQZWs+stYaGlozSHr4SmdewIF/LhMujXSGZSkNSlO2CKpBBgLdUKKZKexAyMMOr1GEvKaktwKxoR41APf7vKmzxs7xBJDTRP2MCHq3LIUC70gHHlqfhrLbCNTlCg6CDxcUUor7kKqTFnsP2HHVFUopKCX9HQT6rAsnKe1yQdLrQ8msVbYiidFr9nE70O6+dvwdGUO8L7D+8s4NvFDhsH9IbI9vPlHxA7aB3yFP8YQYFl5vn45xyOww8cb+aJvH17xlcNjFBVPu8CV9VwMjrmqhPKfBoelpkYrw5pz7vrXmXPAWl1xx9/D4nBhwFDhFNTMJehQA7PqFo2SpNfjOVavcaEeolVNq5Z04TIGvQ+FGTqcMze3qNWCKy/zwxJ0XEycS8BR6YbKLLD2WXZumaE5JWdpriywFdxtB3VlhTNVR2MXIjvxMXCF7RtlZOxLvwtsz0XI2xArpmOlddzGdsW11N9N25zu4zUrqqY3zef5bZjMzrm5eP52iYvCpHr6Se3O0R+ht1exwyuBRqXnsfJZ4xnYcCmLN4YQuTvTMaTzZ0OHtWt8XCy8HxeNzl3k7i+Q56mU0nT9e4DIiyQpgJepDfqjYkbPaeojeiwazbfcYzac06g5j+wV3768xcGx4qBSaAUrG1hUmo0NHFSaZ4MEJSu1pg0NneoypHHBMVecYpDgdR06TNTNbPVSYOn+HEcX5zNln1q9ZM2zrK3pgqVWc5SSa2kIG4xuqXTDUPABdMNZ7JCs6e0FG92gMAKHz93XFJAUlmdPbzpLN9+jYQviFraSvV3vHWe+pkn1+Pc2I3R6QfyvKJCNCWdiuk4vTsn29POfLzfy4iaBeYQ4F0FsqdcrO5SQKWzt30fb8fJnSHJDCZaudYVRopVqdM3Gn+cEJb3GBZtnOj0ea68I+GuzmzLzK4XZJDED4H1PP0iRpK7v4ZyM/7jIMr63m02pFqMbGnOAY2DFKSCd3CrUDFh8qKTwjsgCdarD47nlj1mrFYMaWKsrPHNW6oKVP+XMv8c982OsnXABNOYgd3x732N0K2uDbgURkqDrxbUwgbEzMru7OCKTZr1VnEGXa6bD+StKeUHR9JY4oJSsKU26kgXsOI4/jHDahPTQRezg82PXkvDM+lwWuPUkAU7jZ6GIRdL6uHsfx/cRGxRZoeJaCP4RcUqx0YlvKgr16bFtrhCj5+KTNXifTlVS5mBnbJL82Eeh86afs5D9UCYnuyCoNBjZu42egR+l5tI143wnSIIgXAGlzKSc23hNoFEQVTA8QQ0oVTMMj6I/ET+y9yd7K22f9N5gf6z+HwJw1jn+3nnNQRV4uB64cAOH9Zx3/uwB/t1nPPq6Ye0C573PXd7jpuLRpuVcX0jVNAis58jfBmAW5szCnJqKb6rfpGGZ4YUCfRYdvFYtsiSR9ZcYVdOoJSv/BKs6qa6j6cOalTqjUXO6cMnV8O2xIhqrkj5Ki/hg6exFJrWaBGeR5l5+3QUFjM8/V58ydm5S9bDcTpkEF5arsAVJTfo4eb4maQiXC8g4/5f+T1q0EY6JKgLlKQRQgvKoTxwGUD53vF+ki7tLEsT7LkKKprM1L6TJF5P7j/5cS6VbZvWtHFxUpiWRcSQiDR+7vHJ8ThbAWF1OjydYmtFthi1rXaGpsWHI1VMfFyYbq/pADlb39mKmVMW8vs2ZfsqGeC+HORt/zjP9jPuzWxzXjstBs6wVh7XCBdgQuNUonnSG9/0zHJa18iz9kgvzNF77Jia5jovwUDo0IUIZg8tJXApYfUQtaFXTmAPOhqciWRWLSsH7ONsd5dCsfO9jty5qs/qewZ5x6S3Ob2iqI4w+IBTw1fjJGfqcIbsT2+EXCl8x+hK7+3X5JF/3LWV3aPf3chPKJO5X2s5W8jv6zTKZrgVJotzEj7yoJqefaA2nud4jpJBm2BkQZ9jnOIOX9u1FfYrzHZWZ5fGZSs2ibneHwrByT2j0Ms58uxj01/nc6kQSlMdv9EQqpuzKl3G1DyNXxb5w9vGtrU8Y/JoLHuUxlZSIHaoZWimeqCcCUQ4NdWjo1IaZamhCwyrKJ3asWfpj1uqMnkvWiKyaC5bL/iFtdZjnep3vhOIodfojEk3kzCTJsm6TkXJGN5MurQ+WUMrWMHb/g+9xyhOskGTV1UnuDspnJAmzEmEBEQYxoghUKuCTr0e5d2JXMHcE09uvIyUmKBE17mc54pGQDKmb7YvZ+9KvTBEno8zSdfPX/JkU3rZRLOX5m45Sjfd+dY13pB8+FKnDtB2lx0LZCxTjX9SfoDRGz6MOe0xuo6UiiWLUMi4lNMvrwcViWYjFeil8Cm4tH3OwGD2PBZLx+9v7k1dnrxKa/GnYPum9wf6e+jv8TPjDrJzj4drgQmBhDIe14U8+cHz4F5/x+w9v89899cwrjdGwGmRRP+0H5rQsw5xV6DjXZxz7u3Rqg8WyDIcMauChfo874fP0rLFqQIWOPqzYuDNavcSFgbUXRtW5OWFQHUNYM9NHpHnfC55QRQbWIaxp1RKrY6UsOw3phgrj5qyA8FTMZ2+z2nwH+KhOpCw0OZAN4fnB5E2J41biW87IyGanQeo27CiTYoRinm8CafbXPj851smiwK4gMi2m24H1dRKuWfs2m+7d5x7/x+m2vCjhgtEtWlVyfegB6ztatSTpPYtO84wuJq2GClSFDR1dsQgmcrRds46p8ye/j/NUey3eT26VmXHVPcQsfpqBNb2XgPNEv81tf8JXn3mGUPNw43jWKz63NJx2Mjn2aOPZeMcizBmwbNQ6j00kcjwXZH57po7lA7U8ZkOHD5GFGcPaPhGkiDmSbr/vaKtDqsigKYFqm4twRlUYE9nkbUE+FAaUbmIgZPP1e3vxJc427+L8Bo/F+46RuKQlMBQdX53HDdQEFTLCjK+PIvjxvdsWA9Rr0wo7Cnjbvmsk7tvx2hthxcm2IYkxMFNjgnzTtvPnE3bqXef9DGoMfkOIibXLB5t82yQIfgGfMp99Ps7GteggHZgmIkiSGSWcAGv3LM9lbvtrG4POKbmgWEoGlKpyAQ32/uT7MaU03XDGcvYAIM/zt2pJw5yr0HHFmjP1AYaaI3WPI3+Ew/KEM7zyzMKCgGetrrDK5u7mpXso2/RrKXyFgVrP8dozxG4+RJZct85w4FSEnYxX5fW4mOXV4g8GeyVJc1KqyJq5Q/zfczh7K7NHBzW957ZHHNL8rPM9LvSjBi+JiXmMhUZ93mm8kZJkFcbkNj2eXr9t5RhJgjynJkN5P6hJXJGQbCkh3jGWtfVZo+65HhP7ogGRRrFS7PG8GGUXodW2r03M88Lo7F/In1TVHYw+wJhZXCuq3OkVOLIURrSqcYgvqMwirz2JwMz7nhCJFUcE3XiucpIcH0vf574Y/2pNUAA/XPjmfdJ7g3X+km/p7/C6e5PXFw3fvICnfc+ffH3GhYWrVcOvPFkCnt4FBi/zvC4EjFLMVMWAxymRA6gwrBi45WX+0eNpwwKZ3+3Y+DORl4mWiIcGREoC4MI/FJgSm8yieGzeoA0LVNAMVFy5JxhVs7Fnsh0zkyqYF8fQmAMhpPB9JJJ4MRKi3U656PiWBAulbQeIagoplLduOd9y5iaMVeIyQSsXu6mzLrqsk8BW512b7mGauTFxO9MubYZAbiWxZfC2tfPEIZbvG8q8bZ+7/ac4qOT6adQChcaqjlLiYwgrqchjcWEANcoN5V1kZOGUXRZCq1SVHxeSmtpo+gwx2tsnNUFWeK44paLl0j9kY8+4136BHstBrfmtU8dX7bf54/Mv8KyXcQmNovchplGOCs0szCN4Xbq7PhKWQfz+Y3AkXV0xhUjNaFVHUrwhB8qz6hadO2dwGxpzkJl3LSu8t5goKUKuzlcRKpfkIuTa8MHS+8tMQAPSHUjEI/meLXzC5N4t/MALFYxuTCJ3dUXGbslHdX9L25nwTp4zeV9vZH1+QT8QbvIp6XPDMCa5O4Pvorv8ggmvEFW1uZgmJFOugDIPKNViQ5eZeTMqSVcRYSLwU60qkYLxVoLy2A0rCYe0qbBudfNO7e2FzGiR8vHeYqjowiXOd8yqIzbqipo7rNQFa3fK0txno67QWtOGNg68eFBy37bM0UHn7zwx96dxmUov8EoSkGCmYwKDvcqQ1IQEMboZkWRB05iDSZKldcXgNtFPxAJrgJGsKDG7Wzp7jnWbLMlX3tslFHpCIhWGER0Wbez4Jhu7r6U/uCkuKX/3xeeW2xhtHLmadJEpY5ddKhVT/zeNOdL+pcQ32o2Iu5uKbEnlwkCJLLkxXknH2O14bmpN/QCjG7RucgEiyZopZSCAdSNCruz+j7uRJPN2xRvTjncaeUux2HaxbW+vxvY6vT8i5sPAWfiAt9TbfPNCktqFqZibwJ/5yne4vGg5rAI+wNsHmq+eWoxS3GoqLgbHALjgua+l83LuO7o4n5tsEZY8Uu/SsBDiBCRQrXSbO3cm6mFioFaLCGKqAenqtGHBIiwZlFQWe70m4OiGM+pKtjv4Va5aWt9niFrAs+6eDwNJ1b4SNjex50Gd0wKSFysYg1EzWTSm87wp0RyrpKkCeG2xKCuB2XZDqEt40fi5434KlKiU4ElBetyvLDF0E2GWLFYa9TF6vB8doN4//iUAZuZYZGmYVtAtXZ47UsrgGeK5c9jg2NhnsVtuaMwBl/1DnB/nO0tdzzIISAtU17//MY5mb7ssSYRpZVj5c+moGemo/eTiNiHI7G7nVlwNns4paq04aBTPekejDbWrODQNK28ZgqMOLU4N+Tpu1VLYdWnZcIbCMNNH9GGdYc1aVQzucsLM3LsrhBFegpXEI6C1FFVk//vYBR5lOuRa6XOhJATPZjgjZJkaHUlmhHhEOhsiVzQGKNdn0UbbgbpIth3QTebp4n27sytcbrPUB99+zfNMOi1Z4u15MOaJ9MfzbZc+rXTKiw7Pc6TfJHkI12DS23Z08FO5qydMyUJOJJBmg/WrTOSTurypQOLDkBMikcJqWQ/nON/necgE9dzuBsssr5znfUfm+7M0F219F4vlz0Sujo4H7nNYPItwmIsYTZDEtlMdG66i0kNDHUTKyOOpaIWpOa7DRrfUzKn1go07AwVtJezOPgwMbhPXCdmX1G2z8XGQa7KOfq7U/7ZuPSlgS3FkKmPmQ0dvzydFcNCitZvnQqWLmPXFferIDshaPxb1vU9s9vUEopw+s5zv3bZyXON6UX4qyTR539Zr47fH1PdMUWfbChDjE1IwHOOwLd+oIHWzFYloa2rOX2WY8mQ8Y5d/iiMV3j8/4a2qW/EYa5EgKmIsjcalDntxLlL85L3Fh75AH87id17GRGmOd9e5lYJ84hfZ294+yvZJ7w22GZ6has375gPeUV+griSh/Wf/4a9TP6g4Or3k3d/VHDWBRRWoteJLRzW9D5z3jqvQ0aiaLjgOTEXlNTMvc7yeQBtaPjTvcs+/zdy3fEOf4hGYkgsW60+FhEaJZFGlZlS0aGWwYcORfh0dNBt1ybE/AWBQPTN1xKV/hNYCQ/RRHzM5XevWI+wmJG2658+ejQ596/ksgH69Mzrq9V4nd8hzMQXkKZAWhZt0Xx0+lIviDfv0kZaCXrPVpE4dqDQLPM72pb9jpEsoFtttk2ORBWmEO30yu3/8Szlokf2U+UwJHpxARYGKFovMeKfOC4BhJKDxUerlMsoOpVmllPyYGLC4UFTkTX2dwGtvn8isfUJTP+DcfZC7G0tzj3/g8C1qDWsLF87xjv8iTSMJ7+eXisErnvWw8Y6ZqjhzHXUsUngk8UXBHPEBR+oEQ00XYc/petj4S6o4w250GwMjSd7Sdyyw5iTP5ahiwrPx5xGWKEgAmbWasmtOZn3DNNmRSr+8NpHX7LJtuY6P1qxML972Mds+6SYrC23jseRtlFqaxWfkALaEY+f5u2lnJmA/BpvzzQl+6YO2fcrIDr9bTi7Z7cOfl7UlrgECPxQ998YcxPVAWN5DcBlhVF4fvbvK14/Hs7Fn8p3HwDYlPpWZE4LD0aP1Iq81IXi6fp/wfr82DI+oqjsAPLPvkmQJ7/E5KgwOx4U+ZR7ZmNsgc5UmaAbdoYKmomLQPXUY4aczdYxjQJtbKGUk6VUzGaWJhQ/rV8jMZZe7+8DI0ux9Rg6NkolRHk/VuNBNGJ19lBLM13WONyJLco5Xis5uUWi7qYMqfw9Mi+mjrvV4r8ckO84pl/Ds8rXjfTfypZSQ6RKRltAtZbI7FttvLlztun+vjyzoG58ncnckqaDrZoSPJPqUsOUrc5OjOPabrKkfxBltKbJp08Z1YvzcJJ05uKuc2I6d/dRs0Pn8uaixm/dnMgpXk3x2KR+1T3h/sPZD1ujdJ703WW3mVLrl9fAah7ViXin+7I99wOyXH8BXvkD4j3+Vf+Nf/oC/+/9ouBhqfuPJjK+edswrw6Uf6FSPDZ6lmvHErjjUM2YseRzOuc0hfdAc+7s4LD2yuAD4mMjMzDFL7nAWPqCNmmZG1bRhgaPFBIE2zsMRl/qCU77HEfc5CQ84D9+LC0xFby+Ral1amBqc30wcu9KNLDQFhX2yFw7WlM8V4rFSqXc6/dLGmTVI83h58Sirn1sQpOC3k8kxWB0DRL31mWOHV/z6dqennB1JMCAv5wcDyuXFImkdl2b0IlaRq2KBrgl+A0rFROPFtDge3Pr7M/zL45lVEoTYIHBmX5wbQ50LCEbV9HmWcyi6LDYnuyPMbAptLxejEDznV3/vhfZ1bx9tVXUnd1lbc8RMH/FL1R/lTgsHFXztLPBjRxVfCBV/7HbHX32v5rdOHY1WPOsHujj3ZvFs2EiiGw7wyrPw0n3pI9oj4KOUmctSVbWeU6uFwI/j4ASQCyKS6Mg87+BX9P6ShbnDXJ9wZQUNkgLCa7NWCJdBUGVCbPL8Z+q2yPvKrsFWsLXDMnvoTd2PSeIJk8T32suvQxjLQHSS8OYOSJnwxod2BYLb83f5w8e5uJSU3gSh3NbpNWYZk4aWTOaCRakZIZLQJYQQMSm46TwuZl+Q1xcMzSXixYeBISJdEszVBStSRf4qfrbLBTIbeiEvYsq5oJTJ11Nt5tRmHiVsPFdXv79z3/b28c2YI7RusX5D5y6YVbc4NK9Re/nunulnHPoTvHac+PuAFMUv1FNcGNjgcNqig2alL6hDy4xl7pgaVeOij/D4jP4IOLyqsbFQYn0nENZIjFcmfSnZdVG/N41O9OFqcixj0ujy/Z7iBxevc7nG6hy35M7uzqKyR+t59lNJCaJEl5XdxTG2iAlseb8H8jUOic9gCqve7u5uQ3bTMU5t9DcqdmjluK6j6cRnGLKyxrZlLeBINBU8WrfU1VTr+pq0YC7UFXFeQrXF4tpNYyB1fS+ei062syPBDhk5x6TB4b3N31/ZcQ8ZfVJPvrNkeTY4nrc9Au0Hb4EfPnjzC5bS97a3ve1tb3vb2972tre97W1ve/vhs32n9wZTSnOi3ib4gNHwhQPHxlZwawnf/h721BOGC550b/LV8zl3Z/D+auDpIJ2MNCtzygWX+gzjX+dW1WJsRaU1V6HDK08dGoLyHHOPDVf0XDLTR7RqySZcMvgVA3BgBMp06GVGeFADF/oUh2UIG4awYqMv2ahLnO0yTBF8lJoR3Uzv4iwFNlZCo8C6ApUuh8h0nM/FrlleiPNqqcNrJq8fmRh3wWNMUV1N1dZEfLMb2rxrW1Px9Pzh0cq5vXEb466nbu903lckh8aZm8BY1VVUeDoCAjm/f/xLPDz7leKzK3SE/lG8L50LbeaULIipi9M2b2b9W4C7R3+fSEYgnZlK1Wi06NbhSDO4Lgz4MAisWRkqtaAPKwJe2FYLtmbpzgjTZmXmDFGGppxFStDHq/W+I/Ppm8twXaU0x7zG2TBQa8NprzjtLN9dbfhnv1Tx7VVNaxRPO8+zwdJGEpAeSx9nbJvQ4rXIodWhZqNlbpdIYjbniF6t4/XgqJUwtdowMqwqZVjoW3h9RO8vGfwa5zshuvEWqzs24ZwhMbRSZZKrXZq7oUAWbHdTJ/dulB5K8mLlSMS27Z713WHXPq/stNxc230uqdVzoH35+ZveS9z3Us9b+cywOiJSxn0wer61helMIoDRB/jQoVCCKMnnLJ33mqq6RdKrBOny5s6TT77s+n77MOCCxUSdZqMMm6jXqqlF0qwcSUkEeKYVFt+SHAi39ycv04IlhJJIyXHhPuBI3eZcP+NZ+B6NmvO6+xIbveZCPcVQs/KnuWs7hA0Da1TQEGHNB+EWA+JjRAbJQBho1SEKg6WTUZooVTREjdRaz6UjbA6ELDOiimxwdPY8z/OqoLNyQOrcucjUC9s+oLz/ElpkB4FbQkGUqAk0Po9ZJH36Uu/XpGmla9udaO6q8bG0T7mzG6azvrJ98meNlrSGd/uT/HgxHrET2RLsBE0nuxeZm1UdO9ctHotWDbWec/vw53l68Rv5c1InWJQ6pjFRYn8XPIqwzytVY8wSrecTGSCZ8y2RMXHkxhes2cHjIucDyPc92FVGDCVpM4javfEcbnd4R5Nu/J4P4DNk4Yev07tPem+we/WXece/zZ1Zg1FwbjW/8+yIn/xjfxT91/4b1k8Nm+/W/NrTOSuneGMROGpqTruKh2vLhb9iEeZcqhUaw0xVnNsepyzn0ekv/AGd6qhDS6eeMeOAS2Vo1ZJn9l029ox5fTvvUx1aKgwGI7CkUPEsfC/P6tmwYcFJDmq64TTDEJOzA4Ezh+AIvhc4m56T51pBoCo5qDW7ITWFXXPQz4MxR8swpegAHSPD8HRxKBeLct5ue4aOEUZYbHskm7hOeDVS36f5XhMJMtLm6ggZkvMX8mzQ9dvmYP4l6uqY2iwY3IrBDmjdolWDj4HrSPQhRQit53k25WT5h+Rog6XSDS5UGW6cvl85Ax4dyPBmpXR+rOMyMnmOyW7A4X0MZiNhTUnaMc7ySoC6Z2l+OWbtM9rmTSo9p1IzrtQz3sVzq/48F4PCaMUzu+LXT+/y7UvL55aGdllzZSsuBs9Z5zlSC1bBsFYbBjVk3c0QAct1aBhUj6FiUB1NmNMj18LanbKxZ5k8SymTya1GaKLAEE1xfVe0pHlBo9tIblYEXmEswpT3bSKaUeg8O5zIr+S1KeFl3NZz7MWS3xKWWPiQHXDmcrShJG8r+QKmO5AS3AL2XD4efdHIB5BgfSVfgkapUd+3LIKksYhkbfOmQBTNUiRYvCMR8GjaMSaMYykhWJSeTaDkTf0gy4FkKDM+JxuJrCrBC7Wu0GEsWLjnENjoWCBMfijNMBLHU2zYoHy/Z2p+Seb8irq+F8eeqli0HLDasuGS3l8yM0doNGc8Ek4HHDN1JK9loFELqiB8EOtwxgEn9KwZVMcsLDEIxFlY4jsatcCGLmqCeyFITPOt+EiCpSPBVBu5C+KFGm9vrcbktZyD3Znk5HtuygECsgYrfCzeMy1yBZ9h0SVj+/jelJQ+vxg2avvK9qcJLgWs2U2KZ5PXxOL6Nb9SHFsi3btxnjcXmFT2NeM+BHTmGJDHhEFZZObSOZvPPo/RDT5oQtAE3xXNjHR+0/ajFJoycT9lpCXNkEuBYhxtGcfOhLA0s1tTSEzmc5Hg5dfjDPEhuvDF2wlw+b3u7bNiH59X55OZUurfB/4x4GEI4WfiY7eBvwi8A3wL+KdCCKfP284+6b3BvuS/wI8dzTioFB+uPSur+BN31+hvf4eH/+FDvvPoDkYHTprA3MNvngaOG8XVILJFy7CgY8hBgYvTdufqGSbcZU7De+b3mYUl7/H3uMsXqUODY2CIgWpbHYp0UZyRcsqyVhvmYYZGcRRusVbnBBytWqKpWSHf96K5y/n6OzEQ8XGeTDq42iOOlFHncWJKo1QiatJySe9wUqKvCSgJ4G6epS1nZ7e2EezEOY/OUJzd7iDUT38vCbXy56bFbpj8nQ8x7mfZ8U3dOAkC17FqG9lm434oVWN0g/Mdm+A5Wf4hCRZVhalaajMTpun6zihY79NiqWWWSGm0mgsxUOy6NdURg7tEoSUx0i2DX+fzmFh5UePRG1UDdRFgS5dPYaJ0zFBUqCXB9fhJUpP0nkOQK/R52sN7++RmzBGz5p7oafsVRlfc9p/nYaf59qXlylpuqQXfuLBo4LdOO7542HI1BHoXuGXmrLzF4tioFR5Hy5yVOmfGknlYcKafYELFefiAQ+5jqHMH38diSkpOJAgmX0wpaE0JcAieRi9xDLTVIVrV9PacfDWl4AiKedoU+AiJisoza7GIpupxBiykpO+GJBOY3K8fUVSbFrOmxFOyD1Pkh8oB5/b7pwGlzOIWWsI3fn6BiNnqYOfngiVE9E1CychzaW7XxmS3irOzMyEkxKPUYT42KYalb0K65lof5gKi1s1ExkMeq64F4wk1EoJH6UoKH1qIz3zRPcuBaurYMJLVqJDmIE3ufKVANwS778q8JDN6gTHCzixoICGdO+cRZ1Z8+IX7gGB8Zve34TLOgMvMvw8y82/DBkMtBFdounDJAbe4Us8A2Pgz5uoEjcGFARc14KV4WufrKhGejZ3cltpEhmRVUWkhN6v1PMsWWbe+RhyVbSvhnRBWFcRz41o+cpKoiCbZNcefZnt3oR1km+Oa6cOm6EiWbMtQFs12oUXGhgNsJ7wBF1EfCWl1A4lo4U8kDisl3hyk+1dJIVGrNhYEdO62z9q34xs0WjW4MJIVZr+azlWeVx5RJNNiYOHTi91JxXsVddx3fafb52k8P6VfGtCqjd/1eJ6VqnG+32t7/8G2/yvwbwP/QfHYvwL8f0II/6ZS6l+Jf//Lz9vIPum9wR5zzp+YzahU4LtXgUWluBoqwl//TZb3e+bPLI/Xc37u5ILvXC34TlPxa6dnLFTDgakZguaROhe9VAZc8KzUmjfDm/QMXLHhnnuTlb7irvoiB+GAJ/pDtI+JS+z4alWDamNCM+CUZWCgjXIDQTk0NZtwjg3PCMHRR+jq2OW015zqKHIuzkUpEyuK4vSMPogL24BSC5w733mexsQ3PZIS3u3K7TTxLRewEW5ZYZTOGp9iW+QyW52V/JlM2V5T8D0mvdeD3ykDbYR5EyHf8XNKcoW0j5WZCdU+Fqc02lfUEe6l4+t8TA9EskXgRulYtGrRuomQxgajW4yqcFFDVSmDwjA3J6K1C2gEcpgIigSmOp7PSrU4LDZs6N3VlMQqWCGdSay/UUMzdfpKm88+z3rzbfb26Zpz57TN61z073PSvgPAlVrz++eSzLjguQwdb9YzFLByiv/u7IxjPWdmNMHDQ/WYjb6iCxfUaoEJNcf+Lp3asFYrFuGQjjWH6j4Nc075nhQzgsvyI8kneHyEMgvhmVEttT7CKunkWDp6f0mtFxI8qShtlNETSd+anAQqVeX7RO6BKGeEpzKL3PVTqiUwwDYz+DX5s/LeZ/JZo300LUXyR9tJ3NSuF+a22aQnXZZdQS5bEiDKFz7JT49NmbxNpQSB4UMXu7YVxszySyWBLWHFtjgW8XPiR2ZjcqtjkBkT1ARDHscZHFrXuQAmnz8UqJjRV4qvE+KqlOSk7nDS+05FsxB8JkoMeNrm9T3hzEsw51dU1S00DVfdI8wsMm0X66rH0gVhcb+l3uBSPWEIInXog6MPl0J4iI8FVFmXj3mNlZL13oWBJsrknfv3c4cWIJGalSzFvZe1RxQnZCQiqJHhuCS78hl2nNAOqSs83vcJBZGOKRXDR1mu8p7VEQKsxu1MRi3GglcisSq7knC96C6PdTf4DPL2tn8flcpuKuqNIx0lrLi07E8KVnaFbHgkxZTtazXqpqcENGnDy36NoX6OaXKTYtx3aV4w7SaXSLvgUUmjHU1Qycc0GN1k2Lv4gY7gS5Reii+nBcYp+7aZXF/yeBHnVHf2bM2fIXuVRFYhhP9aKfXO1sN/BviH4u//N+CvsU96P5md6Sc87e6zcXBnpnlrEfj7fvJ7dL8T8AO8f7Vg5QwzY3ljvuGX7zb8/571XLHmkUv6ZBaPwyuPUopZmLEwFb0b0Ggu9QVVqFirKy7VBVWosUGqrZVqMxTIUKOVwQfHpXrGwr+JJ/BYf8iSuzwL7xFwrPpHNJUkq9ZtcH6N9112rOO8iJPZkAhHMbHjGOJshtGz6DRXecFJLK/Ps1GmaLQx8R6Kx643mCXg69AqzdTCNGEdIUAqTBeRHDxu78/kM8eFb/xdOk+lUw/BTxbdNAudAsqS8TFJKchnlfDPUasw6SmiRthPXS1zJVTrmlrPMdR5Lko+WceZKk0f1vH8uvG7AxxlYjtgvSQseUGKx2FUldcZ50WuQimDNg3ObXB4ajOfQJH29umb82sajqQwQs0yHPDeZsVSNzzkFK89761annDBHz+6z+OzK574K/Bwpk9ZcQYR2p4CA+EO6PF4VupCtDhZMagOHTRBGVzoaPURJs7FeeUhDAxhgCD3dq0X+DAwNyes3BN8GLgYnnLYvB5neqV4Y92qgLclk4urMofX4H8KTWUWaFVN/EkOZP2GiWWdsHQ3Py/hhZ2J8Y6/J4HpdtdIvp2Mxii3O4FVh+vHnF5bBqioqezHtcIdaXRCtpGC1PSqkgFXAtdpojstCprsm7JmqZp2x8Rnmcm207E7bE58bZSbSkFmrXQsugK+Ay3cAuV5s249kZ9xvsf7NUofRB/30UWJvX0yC8Fi3QWVOWRwV3jd0hjRYxdcmRRHl/oeLXMMr/E995s4baUQlpPJGKPE78ogiWwfx2R89BPWd7hivRSEgPBb+DBgfZ/l2Ezs+LnQYeP1aodnzOpbDFEyyxXw93L8KlmSqJl2dm3uak5HErbOTb5vE4R6LO6M5y8VeFxEoZR8G2kGeBuqPJ3XncKzXeFbivdu7d/1eOwmXV63OxGeBE+pG15N4hOldEaa5RGy0MfzF88rY8Fq/IBxTGPcJz9+ThyRUvEzVYyPRt/U5cLGaON4mTw+LWpoxu799lx26vgmf7jNlL23H7y9gAT9i9pdpdSvFX//+RDCn/+I9zwIIbwv+xHeV0rd/6gPeWlJr1LqbaQN/Rpylf/5EMKf23qNAv4c8D8AVsCfDSH8+svap49j73e/yVf9OxxXNV88qvizv/x7qAqefGfO7z2+zcoZeq9pjOfJpuavflcWkDrUHKkF76n34007oIPmoXpMy4z3+DaVrvFK5mocA0bVAi8KG6m6xmRHiGc2VEo0ODfhHB00d/RPcOpXeOUZuMT6pJ+3oUFm9saZWRPJmcqqo1REK3OQdTV96BD92YMRJhedTFn5/zhJ0ej4tub3Jg2dcR6wrLxeqwimqm3utIjDJUyD4+kM72hpezn4Sw511/Hkjo6nMscTB+6Dld3Bj38DLhjwEhh0wzMJNkPZXdax2yvWVAeoOEMsR+gZvEC90syUC6sITRXIqfUdRtdUqo3yM08keKHOHeE0Bzwet8/dmPwYQj6WoM9KaWwkoLhYf+36+djbp2Led/T2kiGs+Hz4Ch19lBursMrShIZ1sKDgb54/ZNA9Mz/nllpwBlmjO5GanbHiTH9AwGOo8EUhxoSaPqwnhSqPp496vWXH97B+g0YtuPKPsb7LhZvBrrhSj7F+Q6VnOLeJyI806y6/Gz3D+Q1NdTjKYmWUSCs+Ro0+ROCCEhyHqVj2862ELZf3rSqTyWrir/Jbw6jXmfYtoT3GTjDX/Ma1DoyaJsXZR+3iPQgBomamfG5A6zk3jXtUZjHp6ibfW8Ity051CnBNRI3IMctn6RzEC5QxjTZkmaEieQ14Kj2n8xd5tjf5jUrPxxlNd4VPxFuI/jIwGaGQz2vxoaMxJ6w237x+Xvb2qVgIQ+Tj8HnERsWirqaOCA5Zwwd6PnC/jfOdyJK5K1R1lBMeHwYu3AdUquWKJ5M1JT0/uCus78buqNIMDmoj13hKRBfN3Sh1dRkLKQKjH9wKrWtsRAL4TGA1EmHKPSJQ/5FfQwiigl9P7sUxka3HArca78dcqMroCCjvre1zGY+UcQZ4vMfLBHs7Dirndl1YM034bvjuburqlmMaN0Cepwmyp4o8DdumVYU2JZJDYiCNzM5q1eL8Ou77ILGU0jHZluK62pIJCqFDq4NJ57iEiqexCSA2AVa5mD6FPIvPltjTTj5jPP5p7KmUpt9rfH/mzN9wnX4CexxC+IVPa2M32cvs9FrgXwwh/LqSgaT/Vin1X4QQSvHPPw38ePz5Y8D/Of7/AzfvB76mfpMv25/lJ48Uq9OaZu749tNbPO1rLq2mUnB7sebXnhxTa1irNbfCMcdVzfecJK6GmpoGHTRrtaINC1ac0ftxvqbzlxzoO9Rqlt+jVc0QK62bcI71XYSjAgrO9Tl1aPHKUesFhpikBunyjs5iZCMWp1/nZNb5deysjiawtR5PHwPIXt6vKgiBxO2344wV/5fdAEfYSrrSnMsuWNA0GNxKSougd5zj6VF6zghHSnOGMkc0bnfcfsisi1OillwdDuPMjXVnzJoH+ZymxSOLz8d5n+A8xG5p2QkGMHqWuzApgJTPc6RbsHPnON/h6HB6DF4S9HQ8Iz52g31EE0w1exVmUnUfyWqSZmJkV1RE/UyXEyOFZrn4cS5XX2dvn74pZXBeRg/eN99hFgQ2eBln55pwm1oZ5qHlqT5lrc454Ys02lCHBsISR8uGy6yhCTD4FR1+Qko200fCB4DGqg6FYfArQvAMYZ0DEyAmzXUujhjdkjRZrVsLGsBtYmFsrNinhLepDoHDeL2NcEY5ZvEnjg1aNXK/KiFjcn4du1KBa0ngNagzU3jx5LXbMOvp/N5oiSdgKP4eg1axsatB0umOXi9rZU4C5vTZBXxlksBPIc7ed1TmCB+uM5SmjtSY+AoSJ8EWE6SYgpgqddFlFwzTRF9YuIPyeDXkz8gM3MW5SqRj6TVaVYI2UQajjEDhY1e3hII634/6mQUsUSGdp8XsC/vE96VZ5J6I91ttFtxSb3Cq340FLYGzW9UJ8kPVVEZGYUKRKKUiKwh3RPo/dfVt6KhUi/Vd7tAmdJhnoLPD5JpKXbvOXhCCz+R5WlWiOx/jixGxMJJqgibEx6ekRVv3fbG+it68JL4h8p9M9X6L/dqCzk6fg5KfIJ3jMskd37edNE8T5HI/k1+azNBGP7NbGWOa/G7bJPEPqdCX5pn9pOg9QXwoGUsxJhHZVbg+neMplFiQgGOSv2tkbSzmj3FWQicCuQBaImtGiPP0fE50e+Pv24UFFNeULvb2B94+VEq9Hru8rwMPP+oNLy3pjS3n1Ha+UEr9NvAmUCa9fwb4D0IIAfibSqlb6QBe1n69qF2svsbtw5/nsP0j/OfvwbPhHf7Q8YrOaRrtWbuKwcPXnpzQ6kCtNT1reg6wIdCGGRWGLsIMO7XBMaDQ9HHOZuPPmekjSVIiK+Jcn4gwfBhALXJCYlTF4KVzs2LAa09Nw1n4AIXmaf8tgNyxC8rjPKQFBVVh4iwGjNV56bgkyKHAeAWGWFTuUqArYKHnnLU0a2sBm53x1Nkn86AatpkArwWVRaA7JZNJT88njMtjx4a8/+WxyHGm5wZAZ5khxQihlm3L4iAQQwrnD5WZYyKkaHAb0uxkgkhOu+MypwdMujLeW5Q2MShocboVsqC46AtDapU7NYGxkBJwzPQRG3/O4Ef4s3c2f7cpKEmkFplghjhPxciuqHXFxWrf5X2Z5twlVXWLR5df5bK5x4PZT+UEwoWBc/2Udbii12uaIJD3R/ox3t1BK82MBWf6MSro2O2VeTwbJKAd/Fpmu33HhnMJbnE0einXTSyyATEwsrlb5xDpKxs7sOv+qVwrKkEDJZiS67kjBE1dHUcI7joXgGyQe0XH+d5UOEtkSs5uIvTSk1iHryW3UDxWBIClH9gFB9yyMZktmZqHa/5gGmROg9zrtsNHFfsluz4ttI0B+DgjONlPPFoJyVhdHdDbi/g+DZEFe3vWdhuumechiaMRSqO1zkie9N6RJKuaBLRKaWb1LdbD0zirKz7I22fCNxDJ0PCyDefGpKVkh9a6Ai/XzL549nLN+zVaz1EKenfFa/VPAzBXJ2w4p07rOjrf32t3idbC4Cw8EGLJn7h0nagKiyCMnO/o/EVORCbIglgY0cgohQ+WgMtrUirIdHZ8vxCtCTFUig8yUkKNEYZwhRT3kqqEoGpyb5aJUZI9cjnxHa0sqpudccE4jz8W0cqZ4xe3wp9Mxiqu+6wR6uzG94YdRcAbLBXJckEs7mulZ3HWVub2re9RWuPoC3RaP9lWOcqhYlFDthfH7OLYmy/GKxIiMPmfcVSiy/uSSMB8ELh5+d6UNJfw5eszvfJd7bkBPpv2KcKbP4n9VeCfAf7N+P9/8lFveCUzvXH4+A8Df2vrqTeBki72u/GxydWtlPrngH8O4HOf+9xL289tm1W3uHIDa2tZ20O+diFD+jMdaHSg0fC9TYMPcGU9Vg2s9BVPbMVT/T4HnLBW59wNr+dA9ZF6N89onpi38TiC9gxhRaVOaNQiJ8cSqC4YwopWLenCOQ+qn8R6zzwsuFCnzNQRQK7KZnKIQGTy07gIox27BdK9TQuO1lOIcWUWBXxXk6qoKFChlODYbalaWCa7k0D12mIDE5KqIqgUFkGbE9TUcUn7qnNQODBqWo7zysSzc91MfH2SC4l74TvwG4hkEXIO+riAzPJ+15FoRmGEsdlbmXnyPak7I0yETQ5Q6+ogB6TJ0u9LfZ8r/wSnW1TBnGoiK6dRIh+hlMldvhS4DKwzCY2nz/s46bYFO3ZkwjjnZ2IHWKrlfzDsB+VPIF3z8v2t/CmtEobkVMwYlMz0J43dNWcE7enUii5c0rtLFvoOHoGtWr+OHbiB1sjcrjKazp1TmZZKyXXq4jVV0eKCEBI537FsHuR902haLd3n3lxlRIPSMTGPgWwiXirnxuT5zRjUYov5sipX8HcytW6vmjuS4G3d8PGPqb+YnuctuGAOdE1EeYzvS52SER7tp8EvFH+XHxTvsdgZKTs4U8I9z7RTMhJrAVRmFme9NbU5yPfkpj+lZDhVhR+v9Cx3dwUmKKgQHZEixrQ5+UjHb3RLHfWAgxoDa+e7CYt+Mu8HHAkx4nOg7HxPFX1gKT9S6RnoGZWeIoh+1O0H5VMk2ZBZ0sfuG8zMsei5x+vhRL+NVz6zurtgZWbf27xmzKs7uQia1goXOkwsoCU5uwyhLubDq5jAal0x2DWL5g4mrlemaRncpchuxW0Y3QqnBBrrLuT+yQnv9L4fGY4Z77mt5LMcZ5iSyJWv2k5cx/jkWld26zO2k+NpQWs7vvAkDfJR8nEs2E1jpvj+ECYjHs+Lq3Z3hcftlf6kMQfX4ozazLjqVqSRCemsRkb9uP8pJgpBjkWbcTa/qQ7zdQKxWKcrdDHrL1spffE4bpbiNkiySs1kNEKOceQhyJ386PP29tmzgrrxpZtS6j8C/iFk9ve7wP8OSXb/klLqfwl8B/gff9R2XvqVpJRaAn8Z+BdCCOfbT+94y7W7Og4z/3mAX/iFX3hldYXvnf41bh/+PFrVfPnyH+PBXPMzxwPng2ZZeWoduBgMG694+0Dz9vodfkf9tzxUwqBs6hobNlypK14L97kMa2ZqidUdLgws/TGn6kMOuUev19Sh5djf5rF5nwVLNuqSSyfd+pV7wmvVT1PTcqEuRI+VFYaaKtQ01RHWdwyxSxuCp66WGN3SDWcZlpaq8orEwgnBrxHZi3mGvlq/kcVMNYRIyDUlGSgccNGVybT6KiW7Y7fjuUQ0W/ChcYYkBaP1uChFqEsKvlMHqrRxAUiwHHftebn8x7la59d5sUrnpjIHebHLMiDB09srajOPTMlyTgUCPbJBan1AZaQ6anRLpRsU0tm1vsOYNpOJaEyu9maGy5jYpO01ah4ZmqedIue7iSRJntuL52Dwq7wNpQyegcSkaf4ALiY/KH8CCHGTqujtBZdKs2hPYsdWroEhbHjbf5Hv6N+jouXSPxJ4olvJdxcGmdDzlzQxQU3XfquWeDwzdUytFmg0lZrRhDkbdYln4NI/itfvGYfN6xhVU9HSh1WENApDeBOv+244w+hmQkIFAqvNeq8FY3Cq2jsvzM0+dhqVamIXKN3XscAVmAa7O8vGY3C5O+GFckZs+p4d+p9Zo/M6DPFah7f0K9v+a+u1Shkyx8Ak4R3fX0WZmTJwhFikwjHERERmHgemCa+ORckZIXgq3cZEpI7Jic73c/r+Rl1UB2rsxIjPk4KhD6LjLdBTgSxrXeFiByl9t2lfBtfn/ReoepU7gGmfjPqDlfT+oHyKc5eilxwsg7sqYKTi76845cfcz9AxMJiOq/7DjO7QcUQGJFGpIuIp4HGuQ2mBtRtVQXWA9wOVbqnMPBNWJfKzfrhiXt+ecFIAuZBTxe5wby8wuqG3MRRMsNmkJhH3hriH2W64L5NP8tujEkWyOZ3T3bYdUOKt5Pdm1Me2pUTW3zAOcUMRPoyEVs+zG2d8I4pGfh/naxNniA82Izum+zHud4nhE+TbAEoY4QEWzZ2i0VCP6hCFH8jFNzeiysRnJHRNOdKROtMjMZ+sJ0XBgBEpkI5vb39wLYTwP73hqX/k42znpV5JSjzSXwb+Qgjhr+x4yXeBt4u/3wK+9zL36ePa5eZ95u09jhrFnTYw056q8XzuYMWyGfi7T0/waG41gS52cFywtOaILlxyxH3u+bu02hDCDBdOQMHd8ACL41DdYaXOacJcEhGEibemYYM4k5kSMiVDTc+ac3XJjCUBzybWEUJwNNUBlW7p4+K3aO4KBLY6ZNU/jmyJF/HIzJjgRb3eEEaSE2H/tRgzQ9FgnVT3czKbOxwfFbCWNi4KbCdbkwWmXIhGWY5QzDFO3qqSkHmyEbQ1JsOGBLmW/daEIiCWboWJs4wVCmjrO/FxWwSe0mVJUkRAhhBK56uhNgtqM8f6PneEU/VbKc1cnTCYNSE4+rDGoLnwD/MiNZLRiKSQJDoCH+u8QOOrGFT6MMSCxypeIxrPECv5Ni9GyUrWS0mWJSF/fP63n/vN7e1TNKVZtq+xqO6w8qdoNEt1hybMWXMmXRA6LvrvSWCpVtJJDJbGHKDjzH/vLwnBUek5S3M/E+Ktw1mGwKvUQ1YzulilryIDJxDHKMiw5MGv8GrIiJHUzQt4jJ4xr0+46oRMRJJn8T8yr9cLSiSMiZyP946za0wk3RH5ogvp0qg0b56IaD4atjxaGTzuCuhKnW7yPolPabeeux4IXu8WbQWtceaX2M1Os4jZtykYZZk0bX1PuueM/jMHepB9rw+W3p2TZouNafLjWlVZ4sxokbJr9RKruqihKvPbvZPZ8SrNXqpIjhhHHuB6gTHtg9HNxHeE4GMyvCZrnBbw1tTxAVn7VNA8PP8V9vaKLATm9W1MHI8xxf298XJ/dqrL8OKyIGqixEyZFOWRi0yQ2eciLEgia8M6d/+TOkDA4YLLhZS0vQx1Rhdoo5h467nEHb5n1KQl+gFBR5QosZJ3g5jgVWZB5zuUrgi+i93fYqQqFsm3k+oJqmMnGmx8LfEIrifA025qLvJvJ5hKb8VH/gXipfhWxvnkCZu8UtT1nck+JbjxtHCusU4IxXQcVUjNgnRepE9RU5ljKjPLckfbGt+JGE0OaezilsWWch5XkD+lr03wcktJKJjOpSCH5PwkBQqtRwLQvX32LPyA8c0f1z7OoMLHssjM/O8Bvx1C+LdueNlfBf7nSuyPA2efhXneve1tb3vb2972tre97W1ve9vbDgvgP6WfV2Uvs9P7y8A/DfymUuo34mP/KvA5gBDCvwv8p4hc0e8hkkX/i5e4P5/I5u09/mT7T3DeB64aRa09h8Zza77hYtPyE0fnNJXjL33rPn/i9gnfPIVGzZlpEYB/Ft4DDb+8+ALvreC1+i5G38Uoxd/ZvCdwxLCkCQ2X+owjNeOUJTpoNuEMhWHtT2m0vGatz5mHI9acc+keZuKINK9lKaEiwry4Hp5Gps3NWNkM08qqNi1K1dJl8htKwfFEPR8IN0N9rlV7UmfEX5t3Gzso2xXWsepazs6M1VipRgrUeJRGkerl2LWZyh2NHQ3vXe4ye0YITUmpH+K+VuY4bzsU0ObcHSmqmelcJwbLBOWqdEOlFxlCVuuFdGwYMFT0DGOFPUmBFIQQqUIuR+/RQbqzTcG8mTrBCiOSJ2Ggsxf5+VJXWDpx89yRMrrNnZm9vRoLBIxOsHiZw630Eq88G65oWPBYP0Khud18ifdXv4FSWjq8uqJz5xhTR+K7ikrJ3K5RMkph2WCoadSCLlxw4u8zqJ7z8JC1O80Q41rP83ugRmGwQbpBnRunUGQ84hSIqJPqFpfd+3hvGfzl2DH2a4G+2rN8j+Y5/GBREZkwMn2mWUQlKI1r+rzlSdvB5Azs7M5OHrupgzN2gMdu5/js7rnfAmI9GZ0oPq8gl5J7uRrHNvTImJr8SX4NxA5wYtWfEuele1hHRmTpmLVZegrEt+BXI1InzuonIkRBEI2jF+V8okvwR1XjsZGMSjgIQvA4RuKazK4aRCWgqZbFPk7nlPf26qyLiIumOhCJO4S0rtEtZ5xzrp/mUSkYR2ic7+iVyJjVesHanca1v2IznE3gskCeNxf5K+GSmMx5xrUsqQektTXDY9H0dvQbAp+dMfgn7JoOzIzOWzP9cj9FeSZdkbRnp+8tCe92QJgnLuWjrtkRxjte39Nt3iSzWJJoZdKqqcN57j2Tj0MpVIh/q4qqOibxmowkYVXma0gd/3FWe5h2+0nPtTgl0kdtfQyQtZcB2uqwGJMQ7WUYx6gESTIUfsez3e2Vw6wnf6dzNvoNC1STUbxXNzG6tz8o9jLZm/8Gu2d2y9cE4J9/WfvwadhP1P89vnTY8GjjOR8UT/uaX3rtIU1jWQ81P/GLp/zur55wt/X8+uOBW+oNVpxGOSGPpeOuv0elFXfamjutpjWKyyFwx59wqs5YhAU1FTZY5qbinr3PpbrCMXCg77LxZ1zZRzT1gllYcsUpa3+K9esoOyMQozLZAYG+9mGg1nOB4/r1ZN5EkQaoBUYEiRhDErl5dYJRbUyaO65LD0UHnMkm1M7kV5z2CGWawoR2zJcU4uZ57jg70AGoRweKL6bA49xxAWcaE2YXZ+7G7ZioQZkCYB8kOC1ZrrPuaWIuDHbizLWq8oyTQE1bqkgU4xhlH8rtSbisI0s3oKBSs0hg5oQQC7LcUGJbDnHxEkkaITgzUQZCqcTIOs5eJ2jSeD3YycJnGAmJ9vZqLEHqenvBycHP5u9jEQ5Flgjo1EZ0MZVn3pyw7k8zOVHASXIaHKK1WGOoaMKcjksGv+J1/RVa3/JEO3wQEhuUfP+tEbb4wa9Bg6HOkPl8nQWP9R1NdcDl5v0sc7VsX8OGjqY6YrCX+V6W46rREU4nBSmZDfNeEseSwMp7gdc5t5Ki2/ZM74tCnHNQCZMAdDKT55mS3eS9yGMTkxlARp8zGcfI2yu/Sx3vyTR3lvTQR+1fHQtUlVlMIMGJHCzdiymRdKVOb7Ao1eR7uJyhS0mLjETI3KRTNWlOUylNYn5OcGaDaPVKIusnyYzRLdZ2Mr8di54JGm3dOsrUzLcgob4okFYQpFjXVEcf/d3t7dMzZejtOW8uf5GAjMwMfpX5Ik7VhwyRPHNWH0cpoQQjjrwPYY0vCiaaOic+dYRAD85l+DyQC+3eDzG+kHlu63usWxfyfZbeXdGYA3p7Hq9xE+f/JVFUek7wl8W9P3KBpMRX1vy0trV5Hwa7yoVwmSGVpHBb4mxMrD6uTdfwBNdNhaNw7TOu+xried0tufYierzpQYNGYczhZL/G2dc63/8BF+ew5yyq21wNj0XeKt7Xzm+y9FRdHWN0Qx0J9WCEt2tVZ/6Pwa9HaPTkEMbCvey7NDdGzpU6knrqXNSTfR8Ld4kDQkVemfLYqngN7u2zZUJktYc3/0jZPMy43cK9mWZZwcopfuvxHR6dLbkaasydhrfeeMbDjeb1RU3LnC5csuYMx8BcHXOprlhU4sQaAwdV4KhRLHTNLMjNXCvDkT/ifXuOJ0girBYy36sWHFYPUGgG1TGEFb2/pNLzOKflsuaqaLKm4NPmBeqguQ9Ikqr1gqa+Q2WOZYGLyah3V7FCGDVl41xowBPiXM8uy1XY0nnnGdvo5INUhkNBcDC+dtpFGZlemxw8Tj+70Bgt5kmy/lta7GJCG/x6nLdj7KBIIt9NnisXRe9lX8v5NqObvMCU3RKtairdTvQKdST08KnbjcxQpgqqCwMBh0ESl9SNsbHDm1ibU0Dsg6VSLY2aZzKrtMhUSkhIBnc1Btf5PNaZYEgIcBILtctMrnt7NaZQeSFP83aGimd8yKl+yKB67vk7UYJolQmBrO8zO29CNYjOt2POMS3yPR6a1+RzgqYNwsJ+ph/TqAWtORKSKr2ULiEFE3hwOQkq5UVgvF+0qrFOgp6D9kF8n6Uyh8ybe8yaO3I8ek5lDuO83UEsLnVZqsf5jQSowUW0ybUIavyRHfiIs/oxlrHcPRi7Lzdvo0h2s//xhEkHQseArs33qQT0LUbP4gzubJJgAlk6KCMxSH6slBGq8jZLX+ORIqchkvgUUi0p4FWYPNedZviMbseEmNipiQXTsNUlq8xcuvlOfFGaPR47a7FDXbCvKmUEPeKnRHt7exWmWfvTjPoIcd2ZqWNmLJmpI2b6SApncS1J35N0ZEXSyEV93rFwWuf/ta7xXhJY7+PMf0Fe5vE54U1rcm0OSKRFtuDBSDbO2CfiKZH2ku5fInE0RSFcOpPiT5LsYpLl2iHzE+/dEjmWHp8kp+Xv+X5PnzflBpF7uexOjt9B3uZHxUrx9/Tv2m7H+d38vDI5hiCx4RfrfK3nk7U8ozqUxoWOWi9ozIH8VIdUZhYLcRU6ItMac5DVIiolxfuq2GZZ7JDvvs3Ft/R46afK1yaET2oUlPsu2x5jHO/7GHsl3fhm93e7t8+Elcv19/Pzqmyf9H6EfVP9Jn/h0dcwGh5upAD1tK/47bNDXju6pPtmx5/7mz/GxgVao7BY5uoEj+eee5Mv+nc4CHMGD3dmikopKgW9D6yDZU5DS02rDEvVcqHPABiUJMyNWmARPc4hrDj378egRxgba3MQIXFpAetzRyBD30yEPOk5Wi+oqyUJCqNUi1YtlTlgMRNOMes2aC3OrLPnsYontPU32U3OW65mHyHYEV58A2SldJ4+anjKAuMmz4u5/JOJMMIQk10fodiyjYCTH9/npFvIWbriMSsJcHCxat0Xi6nPC2w+b2jqapEDyUo3NNURtZ4LCyaJ6fSSwV1GLWbp4DkG+rAm6Ql6PJWaZXIqqcJ2QirEmNQDdO48avOucjCbtRDdObaAfZf7LQFpQ2XmNNUBh+0bmdBoD0d8dVZVx3h3RWXmnG9GtbZNOKMLl3Ss+VA/Iml3X/UPczVeGMDl2rpdvUOlWlolDM4DPXf5HEf+tnR2gZqGTm249A9xMag1kQAr6fsOfp3RCEBkApYi0Kp/Eh9rWDT3EBmdisYciA/Sc4yWICoFJUbP4rUnBTO7xSgrMOioza3U7m7GTivu/dwZCFv+ZPd1HKKM2HRbEeZXIDdKaOLOIHrrsRJRsV0QTAlsSfSSyO+c7/PvpQbvdTjgSB6UntdayIOs74T1u/Ansud+cj+XgWrAZXi0bF+eG/w6khUZ0fXUTUYOWb8RIhum+5aLbWYmqKD6NrWZ7ZPeH4ApZajMjNP1N0WaLMJWGyUjDL1a88y+S6sO2dhnuQCazAWbZYsW5s4kSanieFMqqLjIEp2SZoXJmqzeD5LwxvijNov4CfJZq+7DeO/HdZukGZ/WeQ3K5Ps7d2tBCthZPWEcZZLCdbpfIltylgDaDUO++TF2ojnEDAkNJ5+5Tarpt36KbeUCvOMmH/XCtsP/pEJ7ureFPT2SWUUkSCqww8jgvo3ySolsLtQn3eXo90pZKzni3ceSmyXB58KdFD56Rgj4CJvXxf4UW2EsstXXiiV7+2xYyHfx9//zqmzPA/4R9u7pf8HRwU/xXz474O9fvsV3Vob7M8+hUvzu4xN+9f373KoDRsHawud5HRce8Bv8Cs/0Y75Q/xiqV5z3gS8fK5718GyAjYUfXy54uLb03lNpxcp6FiwZ1MAszLjvXudSXzKwoUUWkJ511GZdEXB0bj3pFmhdcdi8TufOZVZLt7Io6jnH83diMrWmG54BKWCrSGx6MAZYNvR0wzOMmSGzuerFL02lpv+HgAjP65HZcAt+JDbKC43D7dclh8jB3JChPOVMbA6qw3SGRJ6a6vDKhgT+nDpx42zcmFQmyI5WNdoI3Cd1wMqOr0ANLSgY7DpLRAgEuc1Bwcwc58Vo5U9jt9bl47F+XFhT9wZgE7+7tjqi9+dS0a9uMURIWUpa0hygDwNa1TTmgNoc0OolfVjf2Lnf28uzrn8frRpW3YdoVXE+vM/t5h16d4XTlqA9a3eaZWjSPNVl9wFGVSzMHbm2onk8HSsOucMdf8K5usLFefWONafhXWq1EKhbGLBs0KqmjgiCjT+n1gt0GOjcOav+MU21xPpNZHo3zJrb8jnuIncGjao4aB9QmTnWrVkNZ4Rg0REJIUGKBHneXaFi4j7OyW7ZztEIim5v+diWFFBM6ORlI9PpBP6cRx4ga2lOkuViFi/tEooJNFoVu1FsL7Eqj8m9k+o1/to9Via4Iytq2SEpxzrGbkgObNEMoaNzF2NgmzvGBo0wvrsC3pplabyVcNYPlPO3Cs1gr2J3d8j7lqSLtKojm7RsTb4S2VejW5bNfYY40532d2+vzpy7pKpuYfSc0/6bHDVvAcLnsfFnE4m7Ws/RuuJi/QylqswP4UOUQauW+IQqyvesfK8uWHp7MSmUCsu7yfBXWyDCxsLIIiZBXfz7GOevmECEc3e3hVyg7qUjW9zrKitOVIiqwlB0QIturhIEnEr3Vw51x2Rqsv7f1JkNSbv2erIp/++YFS639wkLytcbCBI7keObMTapEqeIalE6nQv5r9bzWNxcUekFlihf6CU2EMbvC7y3dPG7TWM0+bwCLvI9lIiVNNNr3WbSyU1FzxKFZ3SFjVJnSdt9hElrCROz9GTyzVNJpL3t7dOwfdL7ArbqvscHze/yzct7XAwNh7XiSwcDt5qemXHAjEur8UEDLX/r4iGtWnIWPsCoH+eb6tv83PwrhBCwITB46fS6ACtncQRUMBxVDd4GBiytqvAYutBwlzcxwdCrjgOO+ZBvoJQheJnfMkZmUG1Mdub6hKW5z8qfZrIaBxiVILZxsYgBU10tJCCKFTrweXEDhMSqmN/7SLsBjrgNfZnO5JU2TXLLYHDMoWMAHTw+BsbTbd8s9J4glROt4Tg7Wzr6CUy4SGpBqqUeT/CW2sQFRFUF7DhJsYyapUa3BDVq3SVzweLDGq1LHWWTZ2TGzx7JrVJ3P3V7N/ZZ1mgeO0ygjL62cGhV4/15rARrnl78xs7ztLeXZMrg/YqgatbdI1TzJZm/jtXvWs9z921WHctMve/p3RWtWnI6fAsfBn5S/TIfmO9ShZqVOuc9HaGoyPe6DMcMOsqOhI46okZaJfBmjaE1S2zosGzo7DnWrTK0VRXQRpBrXmlNb5McTjsGxP4qXutrKnOAVk3sAOnJrNdofpLkjrNgW76j8CVZ63tHIFnCAYHrie9NwefEB211huLMbyqk5e5ORn244rlEqNdT8g2kwlkqmE0++lrCK1DNVIhMr/HeEpT4j8TbIDO2TRyraOK97CHyAPhIEJOhzzGRxdt8lML10GFj9yh1sXXs8oZg8R46f5a5D9Lcso7IHx8GmQsP53T2gtos9/7kB2BpdOiysxw1b+WiBoxjNgDzWmY7ZbxH4oVN/4TBXbFo7mSEiRSuwEa0E6TiS5Icksd6d7WlQS8armkcIyU31q3inqZt+KgDLWt9yNfpCNUHLcVolNyLZbcv/x45Q1SxbqPGrrBSgJZkeauolN4fz+DW3+RjTq+/nnhdR49MbKfP2R6ruNmuo2DGhF38RtxiXMeVMph4z2sqar2g95dYt6Yy8wxtt77PfqlEZVi3YQN5fjZ9p6mh4BnyNuTcmGvFuQRPTglvahikMYjJSEeCPufi30gElt5fxW1frr7+kedrbz8Y+yFTLNonvS9ix4sv8iY/xalf8fm6ZfBwf77hZ//kU37vbxzSe8O9NnC3qfgr79ZcqFNadYjD8q3NOY2ec1wH7rYej+ZrZ6MzrLVm43qOdU2lFQ/0HKVg4zwb55gHCTIMhoGBlbpg8KvcEQSyXmNQ0vEzquYg3EJpzRBWhMjk2PtLBrfBujVGH5CcqIszFCZqzAK5ggdSSb42h7vDRl28HbN421DGFIjGoHMklYmwvoKcaiS1KGZFGKQLg4fQxU6ybN9fgx7ttu2kWGFQxcxu+tzKyOy0jYRRiT0V3+GQoLSq5LylRSTtQ3LqJiYIDotBqqKDX+XPbvQSj7Dq9pFYyChJkhO0daaPWA9PcwKd5rjT4pUqv0F5fNRd9d6iqzp3e1zouLQfjNVcNc4g7+3VWDlHf7x4R2b/zQlH3GeIeppdOI/FjLMM7XK+ZxPOpWOv5yxpec29xfvmO3nbHSu0Mpz42xgMZxgW4ZBL9YxFOOJKPRO97xAr/iRUgXyuMTP6mFjpSKIkc3tzlDJYv5rAdJW6ikRXLS5BbDOkPhV2RJsRYlBbQvRicrqbtKV8zOdtoAq0yDXb0X2J77lmaRtlF3gSvE6DMxiT2QxzTp0wJecya9wSZ3JjoqCUzoGfMU3Uvd1cC6ZTsFceug8WAhnBIXPCTU6GU1HOuY7ajGuCvLYmE1mpFrQs+pWZMzcn2LDhontfIPR4eX1OVpIm+UbOg5ck2OQ5P1kjnm6+waw+njC+7u3Vmo4a2LcWX8SHgUbNmesTXBjowyVGVVz5x0BK4ERXundXJAhqmvGvVEsfLnOyYyOZVRVJE2s9j2iCTjp3jAX3ZK4Ys3EuIY+EZVng8lE/uuT4yF3ZwPVxhusFcjmGRF4FaQ54F/Q4I8xKgjrS79uPpe2PCeruTuP2e3Te/20021Rnd0Shwa6u7mQnYjwVibDQ8f5Ls/WaRscRl4ju0JEcKqF7EkEZCDdEKoolS+MzCd2RkuTeXtFEBvec/KdzkYuUYyFE+EMqXNhMRloSWkbH+eF0bkcQTyqMQi7Yk4qpN3PJ7O2zYT9sRFb7pPcFbGZO+JnZA1wI3GkVR7XnrbtnXHwNvne55KAamFeWv/XkNrdbeHP9Fs/UBYPa8EQ/4svqHX7h9pqjuuf/+NtLKq2wPnDSGmpdc2ANjdasnedzS8PGwrNecVgbqk5z7jtO9TMu1TO6cBkJJwYavcydRaNqvLJY39GrFTOWHPnbvM8TGhXZhNWQ48ZZfUzvroT5MDquRXMXpTSVatnYZ0I+EVbXYM03zuE9l3AmJa7b8zajpe6zbEoqgj6MXQWxBLdKi5uPc7FD9JovdgNOGBgRCQSt5+NsUeG0vR9A17manGeejKZihDSnxWEkqrKxEy8Lh1dpWxDcFS5CBxMhkQQY06Q5wYYE1riKZCKDQKjjPnovszZVnqf0+ZylpEXOr4/FjVa6PGFgTxDx6k1FhlsXZT1WPOFW9TYbLrFhQ+cvac0RWq2l0OGeYd2Gysy4sg+5VX2eN/0XuD9v+Xr/dQw1Omje9G9xqs5QQXrGl+qKQ3/CPY75AFj4A25xzLv6GySWV7mOBlzoIvFdmiON8+A+jjr4NVUMrJMN7jLfs7lQFCzeS+JZmcPYuUxsoWuuBZaoMbDbZnEGxnvx+YHPNHD0sagTrvuqsut7Ywd4moSW/2tV4fw6B6CJhKc2y/h9bnJwl5JdOc6R+b3kB0js8yoW/rQqAswCWpqOK3XOYdqF2gxn2VcY3UKEVyfYd/oOUxFOodm4M0wk4FNKC8TejzOSlZlN2Oq3CXSAnLjr5i7L5miClNnbq7PKHBKCp3eCuDisHtCFyzzzDZIU3uI+oRaW9sGe0dtzmuqIW7N3aNQcTc06nObrwKgKh1w/LlghTDIHAncNntrMsjxRmRwlxvdthEcIA4NdEUIBb81d2PE+LhPEEMa/BWlg4todCeXS6FRI8YVGGNmnRbOQO8clrBmmie/0vhr/HtFnIzR6V9FsNyJlZKFOn5PuqRvGOojJIk6KBbrJyWxKHHUcb/BxxCt19w0Sq7hIfBjUyPFhVMVQoD/S8SSfkB7fRMWAYKUQvz0DPu6jySFXns9WI7osbU/GJEb0CjAeR+r0akEVynElHotmB0pob3v75LZPel/ALvr3+bH7im9cwDfOHX/iTs/XP7hDpT1rp5kZzVefHfOkFx/25aMDfv18w0wtWXHKu/6Q/+/D13nnoMUTqLXizkx6by7A3ZkECt0a5kaGG47Q1BrmVcNw6ajDbU78LQYsX+NXmZsTAJwbhOE3OupaC2NrG2as1RUEmfs7VPdRxmR5EoWhrQ7zTIeK3ctj8wZDWHEVBAJVV0sG69BBy5xN/JeDVSgCVj2FDOdFQRala4HrVocjwa1T4C3B95iUGd3Ebsc4/+b9tKr73KopI1Ra5URayDhyNTIHquXcko3FWcOsuhW7qiYHlkaJnIwNsfIduyuGit5dZVbFFOSmJBpvYwyr6fwqShQlXeN4zLEIYEOHCgJ93fguk4ckCGUioBhh6XJum+owf98+WCEtMbclYNGLybzX3l6NBd8zr2/TWYGEHrVHdEHuy5SIhOB53fw087Dgu+a3WenHaFXT2Que8W3aaoFdO2rdUtHyWrjP0tRYd0irKrSCK9Zs1IoDfZfaNXg8z/QFWhlqZiw4Yc05moEr/5gkGaF1g/NjtxJgPZxi9BXWbWLAOrKBQ5LTqgkJfUAkfAuRKT1W7EPQ0Rekk1FQN5aJr0rBK0z8xkcGQONrJ8FnMWOXOjEqdjensMFy19Jc8hbPgBrPSyowpWQwQZMT1K9SkjhKJ2M6bw/STZ/MGeJRTJOFMQgn7oNoa49zwS5+bkla5Rn8OkOfPcNk/jdpbSbUyKp/nIPPMgBOsNTUmdEFMsRF8sCjg7ezj0sF1r29WjuavcVqeExvL7i1+Fz26w5Rf/BhoKLltr+PN54nw9cm17sUv+R6VWEs7pYJTircJkmjSvsRvRAJHdPMuCTJG/J9FUaIsJDcdfGxmwmKEnw2J6zI67WuSbPlCkNQsXtaokHGnd7yJbtsiuxIx5rOwWgJij1NeK91duO2Jh3q7eJVGr/akfBmTV7doGBSVDR6Fotp24oWcu+lZFcXiajNmuDy/YQwovjSMZZkfIkbJllClCXugkSmV87wpnOW1oxUDDO6iUi3Jsd1pa4wRPLEWESRmd8mn+NS6m5vnz0LkMcLf1jsI68opdT/GvgLIYTTV7A/n0l7p/3j/PWHa37icM68Ury7brhlDRfW0OrAlTU87TXHNfzEoeUvf0ex0WsG1fEnqj/Ko77j62cDM1OxcT0nreGkgUsrQdRBpXjaiQMYYtFwUUkCPPjAz5zM8QHO+sCjzcAsHHHACWfhA3ywzM2JkFCYg1ytNVSc+LsMpsuMjhUtK/8kV+MVRRKHzIUu9T2B4KoKr2Q2xOgDBvs4VyUnMGZlQKVELVZKQ0E0c9MNUS4OpNm2DqgIcXGRymbLdMHyE2jOtIL6fBMYl4odC9H8S1VcWUiqDNWBkaDG6FZIYyI7oo/dcEuXF/Oy0ltWvb23DKxzEJkcv/cDQRnw4JHqaO+vMjkNCJQoyZOUnZtckY0JryxsXQ6o5VhlITMpOSmSkJKEZB+kvnqrqhPWw1OW7etoNHN9wpwjLnkSi1aOSs1oQoMJhrP+O7mC/vn2j3MePuCuf8BD8z46aA7CAcemYV5pLr1hpg0XrmfQPSf+Nr2EorQ0VKGiRhKXXq0zQ/imP6WuFnneqjZL6uqAKsJoF80dOnuBjmQ1Mn/lEMZzCGqbndTQ9Q8xZjk5dkmMh+J1L2a74c83z+qWs/qT2d4Ejc7dm+33p6DZUY5cjObQhYyH+KgqjxWgp0GkUgbvN1J8LJLo5B+2CXXUDujl+Lwkx2VAvi2FlGfvIjokbzcn2XVGdyS/lTpFUxjjGBiX7KopmR/3QQoxrTnKhb+9vXpbDY+Z17dFcpCaE/UGp3wvd+GqKKnVUvN4+L2cqCzb16nMnAN9l6f2W2BEBSBB1YOXa2LwsobVZpa1vJMZVQkvRVzXZPThCqVqYXPPnb12TN7UPCI/oqV7Ms/0kmG9Yunad3i/Hh9XlbwnJrclfFieV5P3P9/8jeHKCJkuurswHbXIxeYxrshJsqKIhUZ4884ivVJkGbRiRALGedusxbvl/2zYYH0XYc5J7tDho690voscLTFRxUtMoMZEt/Qv4yzv1ghGlscUCafEW1LGOWUBIc12G91OHk++aBzNsji3yU0J53vq6mD3l7K3z4R9VKPps2YvApZ/DfjbSqm/pJT6U0p9pGji3va2t73tbW9729ve9ra3ve1tb58J+8ikN4TwrwE/Dvx7wJ8Fvq6U+t8rpb70kvftM2N/9+m/TxcsJ63ioIJffaz4m09qvrMyXFrNt1cVH2w0MwNng+YffV3xlep1FuGIr/Uf8vZ8TqM1z2IjbmMDH66hc3A+SFf0YvDMK41WYD3cbeFZH2i1dIIvB+ny9t7RKCFNmqkjFtUdTniDmT6iVUsWnFCrGSYY3mqOuO/eZBPOZV6Qjrm5Ra3nea4zdQJT9/Rx/3XW7pTaHDCvbzOrj2nrYwS6bDJ8WQTTU/1jCj8c53IMmWI/dYhVgv2U7yugh7kbQu5uiV6uEL8IpK7D+xU+QXxv6PYk+aEM61Mmd3kT6YJUoxtglCbK3d2oa1vphll1i9YcTWZufRgm0B6AkkUSmMCEgAzrSWQ4LkKOXbAZFpZJsEoxeHQmG6n0qOdbdr0rM8+Q03QMgxMWYBvJyrSq8zEopbO+595enXX9eyilWehbzPUJQ1hR03LCGxyr1zhRbwvZGRqnHLdnX8ow9Q/sVzlRb7NQLXWQ7o3F8diuOestl/H7PFeXtGFGTcU6WNrQYnEswwFv+rdomHNm38MxcDl8mElMYCRBSkyf1su8b2MOqKsDfOhEbzchC0Khlxu7M6nj4tyl6GGnGbx0vSZYs1LTn/QcUHZhd1WTRcczyYl9DM3fRC4TOkYCnRF+OVqCEDqUqqnMIUYf5FnFkqxKYMJCgld2O5zv4oxaNdmmwBRnlF2V8v/xGMu/9aTrI+dl6vs8PmqpbjI0NcmPSOcmSTuZ/D0nkr3tjnO65vJnFedJvs8hE2qth6eZNGdvr96c75mbE2bVLc7su6zUOY1aUKmWJXcAuVbO1SUPqq/Q1reAUYv7yj8WXe2wydfq4DYZtSSdunE9SjJ4iaRRo+ntBc739PY871eau03XC5D1qWWcqc338G7t22TbIw4++pKtUYkXnP8fkSB+/NlCRkyhzlszvJN9gZ1EeRPbfl4LfDmhz4rPldeOvmWENo+yZWn/EmQ5kZANfi38DAkVpsZ4wbp1HE/x1/zGqPiw+6ckL0w+JJFeuS0Ss8RPkD4j7WcVVUY0GqMqajOjKbq4Eiul0ZGCOyKqBezts2n+U/p5VfZCtGghhAB8EH8scAL8x0qp/8NL3LfPlP03q/87jzeB3sOTznLeB95fea6cYojf2JWFR53mYaf52+6rOCxn+jEm+rQvLAP/4k/2aAXHjWJRQaMV5z3cagxvHcjX8WAOpz1UCt46gKddoDWK+7Oama44DLd54N/gJDxgyR0cljnHKAzzcMCJvwvA06HjUl9QqZYZSxbqhLk+YaaPRLIkzg5WZp4Zig/qu2yGZ3nGotILajMTOHAkVJiyNI8kJ0AOdkcWxhFqJDMsvlg0ysUrJcMJFhRfUZC/WHeF95cFPM8WhE91hh2mADiTU+kGFaHSaT5mnMFr2F7stBbNwbSYJ3jXUMCxbOgyzKsM9NKCn6FBfoQCpoR3ytbqImRLjsMWRDISXLuo5evjolPM8m7BI8uFMAUm5eKWFkKZtyr0Dff2ym21/jZdkEKUx3OlnlGFirv+AW/4N6jUjAt9Sqc2tGoZA8qOzl7wwN/jlAvaMONPzH+MOtTMVYUNngqBNh+EOScccqlWuHiNajQL1fBMXTAPc94wP02rlhzUd6n0jKY6jOzDg2gppntL1zGYEp1Oud5GvUiBFU5HDBKhjEJJwOv7oiA2LYx90uuwTNJKroEyAU7/T3xP2o8CXpf8mATeI+ROuA4OMHpGJnyJSWy6j9O8Wvo9kbZMZt22ktoQpT0oXlP6irRPIv9h899jwcyP7ynucR3/pc8RcjI5v0KY52PSMdC7K6xb07urPHc3QplNDFQXBcRSWGNLNtvkm+X6GCaQ6r29Ouu691nZJ7F4arn0DwE44Q1O/F2OeQ2F5kKfYqgZ7IrKHKK18E6cdt8SZma14Hb1zkR9YHBX+ffeXuV1MCW+1glB2qw6zteMVi2VWQB6Uph1Sc4mrp1p1GFkbB75KEryy8TMrJQZ7+VcxJmOU6mi0P5J7Xoh/TnX9daYRWKpThBnVRTdBQ48yqCV3CjZZ6q6eD+FH0nSQXG9j/e18x2dO5/EJ+mx3p7HouUQ44mRaCpvd+JPpgnsrnOREuA06pD+TpKXib8hzeeWI2KmiL2S7y/jIRXnoMu56esJ+t4+K5ZW80/j51XZi8z0/m+AfwZ4DPxfgP9tCGFQcnV+HfiXXu4ufjas69/nn7jzr6FRDMHTeyGkMkrIqA6qwP3WY4Pir77bMVNLFmHJT+i3MVrxD74W+LUn4MKSx5ueB/OWmVEc1Jp5BT9/y/H6vOevPVzw5cOed1c1jYY35j1fO2s4ahRrizBI+xMGhGjGULMMUpG3euBcPeVN93mWukHHgG+ujpn7A87UY+rQYjGRLEfmZg/qu1G6QBg82+qIVf84y28kkqkkHxRUZEDM3RqKDk5MSAko4swvPnd8U9CrIiHMaGMiPM78yYyNLjpPufu5peOrMhV+FWeH2jxDJ4luIokZSWjS7M2ExTDqXoLMJiulMaqN7LZDdtbb5vG506EjeVhp5cIC5JmpkQikyc7d41HB47ET0gfnYwU3Brtp4UnnZoizOqo4VnlOztV0XliSoGovWfQDMR96bh/+PNb3MrNdw6G6zSEzDuua0+Eui7CgpuJ74atUZkZbHfKg+kleq+e8qedcDZ7OBTZ6jQ1zWqVpQ81R1fDOsuZpF/he9yFH4YD75pBaaYbgueCU207kkbpwGYtbch14RL9VKZEhSfIVRrcS3OaEyk0T3dy1NRnRkWb789z9Du3s1IXM25jYjkBzh88YC20QYqI9bv+6JNI2q3MmoslMribqlAoBlYkJYZJ2k+S3yV2YxhwIWsN3cn+F6f1eklaloLMkydNFZ2Ps9IwJrszljRJCJYeAQngD0qxf6u5OukAxOSnl1FywOVlJ++h8n5EpPgwQxu2IH05Bc43368KPSiC8Hp5StXt/8oMwH3qWix/PRRAXLLP2GBMq5jScYdFxDX4cvsGiuYPWMp/fmAN6RMP30n7ARpedWkENVUZQYZ07w4SGur4NkAtxs/o4Eh6NiYoUcVLCO+rxjmtW0r0uEQapSDUmvKkYPhaO5DpMifO2TTrGW6zwU6JNxoT1WlFqvHcns7Pbnd2tv+X1UYEiJ5aJ/CoRW8X7OBKDyrFBkiWS+KWZkksV97yenAudC9lp/loS41RcGAmofLhegM+nCY/a8jVALljkIlrBuj1uoyi+xVNrMgJn9NcuWKpIUpWOZ1dXOe2PKE3MqPTs2ne8t8+KBcKPGpEVcBf4H4UQvl0+GELwSql/7OXs1mfT/t9X/yH3Fz/NT4ef48Fcc2XhfIDeKw7rwIPZwLeuGhamYukOOWbJYW242yp+9tYlr81a/vSv/KM8/Im/Tq3hpAl8buH51pXhXjtwVPe8vZAb/MuHG946vOTf+Z17PNoMfP2y49A0eAJvzRc87QaMNwyqjxIlmj+sv8KHwxVL3TAETxcsSw5Bg1ceE3UmZyxRHLFW5xhVMw9HXFWnWDouhu+hVU1dHWToSqrISrBzOQZySsnvwRGUinBmVTiuADkxKxLWlCgn21p4JOBzCGlMmxdeeakEjoQgi3hMcrP8kKppqpPMRJocfQipoyxdFqlANoUw+ggPhlEjt5QaccGig0bH3RSnbEaJotildXn/p/DE6x3eadKdAmrnO4LyNKaWzy6lErzNDM1yXKOgeykLIOffj0lu3J/eXVHphtYc0aglWhk+d/tP8Z2n//nHuBP29mnY2dXv0jT3aJr7HKvXABgQfe4H3OZ227BxngN/h8Fdcbv+InfdA44azZPO8VMnNf/sV97jX/qbr3FpLUd1xeealtPOcdSIMMe99V0OTM1r85qjRvGfP/sWK045V+9TsxCfoOCweYONO5uwtR43b9KHNT4MWLeOhRVhmU6jBRMLAaVNARX0EH1DlhHZYSHYEd48WUA/Aqo4QYxw7bU3wZ2vPx51PEmdmdSJmHZyKz0j6DEwS/dz0ihNJFFlh9cHm4NRIDOTKsXEr42kVTY/J/s6DbpLn6GLJLhEvExOUfDY0KPUGHCmUYrt7Y4s9QkFI3IoKeEXDc4UnArRlwS+lsosaSshs3r91n+P95/91zd/b3t7KbbevEdVHWP0jFl1TMCxUSs+UCtWnFEzw4QKQ01THbHqH6F1LRrxYaBSMzBwV32Rb9tfxfmOysyxbuwgpmvO+Q6tKzp7QcCz6p9M0A1JwqssqmjVTOS6EsqrVHuQ34r7OCd3qehOXvN2jjWVPmSnP9mBKtmCJt80LlXKhU3fWybMqYObtrktc6THY1FVbB7E/SoSxYwqiYnzWAAzEbXDmOzG7m8aufB+RHiV0GPrNpOu+2gjuV4+vmBjvWCaeG+PQfgwbr98PEkPpUTY+Y7GHBTnifx7RsxlKPzI4qyUZl7f5vbhz/P04jdu+F72trcXt49MekMI//pznvvtT3d3Ptu23nybqrrDn7z3i5x2gT96B776TNGYwB86XnOn3XAxGIxWtLah1YaNC9xqAqddw6+ftvzpP/cX+Afv3eXvns05rjxfXK54a274vcsZ31q1/KnPv8+vvn+fWgX+20e3qTX84t2av/HQo1Gc+Y7XdMP9ec2764cs/SEbteZL1X1sCLzZLvnt4X2ssrzFA1oqtFeslMwNmviVL/0hS3XMBacchANuhVt0qufz5iuc6qd8p/81qQ4qgatUUWs2RDkdcUw75uh2VH3G7mOxGAFjYFwmvKmKqXOSOs6EHObtOb+mMgfZiRt9AIjkUKpKu2AxtITgsH6D96PDrc0iw5it72PXdUDrOjORBlysXne5uum2AsNxf8YkIMOvd8By0rlIFdMQouwIScsuBs7B5cAid8IUeUZQLOrikTQ+xwQ+Q5iCQ+sRKpXgh4NfMzPHGGb5mtjbqzXnV2g9543FH8Erz9ItqZXmqVvx9926xVGjeO9KsVifMG+OqYJInj2Yw8Zpah34jQ/v8pVbNb/zDGZGc3emOGoMf+90oNGaB82cBwvDxsF3Lh1H/pi31AN+g19BJEbIULuNPQOkMHI8exuPp9VLnm5+PyMLtKrieyyEAtZ8gyyIFKkiq/NNmpQ3alVuBaMU0iDAdtcYdiS0RVB6bXIob2trlo8yqUwyPgkZU1OZhj5BPpGgLQW5IzJG54RQ3j/LyJnxMy3TY7wuA6ImAXVxWIXvUUrHAlyT7/ckH1O+z3srut2qwaMjl0A36Rr5YNFUmfl9d9EunTeX9cCzLusLMunv7dM38Scty+VPA1CpGatwJooNSnPIj1GFigtlqGhpKlnTF/okF02uhse0zTJfVwn1NMoaNiyae/T2PKOUanOQIdBATFjk2hmsFMlN7NZp1WDdRXylp2Q/DikeSAXyAjYcGIrrLxbRY8d3apqJJBoUSbCZ+AxBfJRWsjengtsoVwZM0A1TG2WedjGqp+fG7dQIp4BGxaL9rvek3wMyV6tNfe05l2MJl9FjI0JEvkdbosDCcO24Rmm2dG6mckHbye4IQS472uO2BJ5d4dxGNMuVSOaZWFT0O8arEqJkexTEhe5aMW9vnx17ldDkT8P20e7HNKNn/JXzv8Td9sf5U+0f4vVFzcKA9Yq2tpw0lhAqfvLwmN4FjhrFww08aGuMgr/4H77BP/LF7/KrTz/PmdX8V4+W3G8DDzvNUR1oG4sPMDOOr1/O+ON3Bv6TdxW36hoXArfVDAX8ndWHrPQFd9Vtvjy/xbvrNS547uk5d8NtPlAPs9tOMGeFZh7mmFDRUqODwnPMMUtQ8MAs0QoWtuU7QKVbAp7BXmJUQ2UWErSFDsLW7EcIeLaJKIifu10eTfO7ZcI7LnhEcfVAkgTZTojjXIqqUEES3UTuoiNBgsLgvc8BaxU/Ni0GdYRsVqrFhae5G6PRMlcbnbrMorQRDmyjiJCnyjPM0zmbTOMfg1fr11OIEiNkSDNKBCSSiirrBMdOsmpp9ZK1e5Y7Sik4Te/VuqIys5iQTOcCk9ZhCl4qPcf6NZ6BS/eQVi/RquaLt/8M33j6n+y+6Pf20kzrlu9e/iqHszd4W3+OPjgWquV2Cz+2HDCq4utXr/H27IC19cxqzZMO7swU370K/P55zS/e9fy6kwDm1x5L8aUPjoWueeewodFwOQQ+7Fd8cXbMb/TfYanuA+CQ66iipRvOWDR3OJy9TufOY9GrpjEHrP1p0RUc73NVSODsTjjlcR+LZKVtw4ynTwakG7KDLI9dCa8eP3MSnI1ww2uyI+XvUX6thDTq2OHVW8lfeb+mIlKSaxk7r2m2rZImdtE1HrszTLY5+sCplZrA6f/URdkOsPP+mTm6ILCC2G2J9/s6PCH4sVOUutk+9GgzQ+s6+zSNjmRXLp8XCcTHURGtKjp3gfVrarPcd3t/QKYwnK2+TVvf4nb1DjOW1GbGlX+MRtOEloU+4TCc8LR6n4E1NmyYadEK12gu3aN8T2+Gs3wt65jwpoKyUprGHEQ9aElqxxEiw2Z4gg8ddXUcZ0XTfdVGpEiC+46zuWOBt0oHRCKuknszjgIEH4t1JSQ2SOc0nofrBZjdiJDdr0m2jdgyk/W87GSnx6QpMETfuL29kQxs8r3tSOomXd6QRhCk6O29zagco6p8r6aEdwoftjlxDqmrHPdlhJtf1/1N5yONNozoslRw6HPBPYSeBOMueVOct1RqkRPoJLlYjqkZ3eYCitYNzm3kOornaHCbHL/s7bNlaab3h8med/fvbYdZe8rV5rt83v8Ep73hzbnjfms5txVP13P+zrMZd2cV373qOGklYHu8Cby7liTuaxcVZxdzqhjLrayi1oHBw9vzga9/eJu3FqKPeKsJfP2yovOejfMMXkB4AbgV53g3oWfwgQqFw/G9/uL/z96/R1mW5fdd4Oe39zn33Hvjlc96V3W3Wq22ZVkWGllC2MsjMPI0AsbLjGHsmQV4ZsDjGWzmYQZsHpZtDGZgwazBMiM0g5fGa0BexiBLgJAttGxkgSy3Ee221K1Wv7urqquyKjMyXvdxztn7N3/sxzk3IqoqMyszIyNrf3tlV8R9nLvvjXv2+T2+v++XTh0VFQtds9SeidTMdZ6rcQ01O3bCNTvnZXOdtfZYhKmNgRnC3uQlrGmY1ddyB7F3C9Qv4wUnXZRGQjHnIMzkpE02VXGTEJY/93nB+zME73W1jTXTTHWpbPg5eetaO6W2Qc3amobKNEicyavNjNpOw+xqvM+ahtoOPpseT21mTOxWvn+gE7kQ8KUZHQmqgyZu2sEHb7Naqfgs2JDnWsaB8KgyPb6YVWaSE14bRcasaXJS2vklvVtmn7vUYRl7aCZxqzG1O3lwhvcdPFPT7FXvl6z8Ia0PgkqvXPvEuX/DgkcH75d0/dvsVS/hUaamYstWzCv48PaCLx4qz07m3F63vLRdsTsxvLEIhbGjzrPfdhx24XzyCke6wqEcy4K9ScVhq9xZh3OswrDfdvSEos6xv4Wqo2aWv+OdX9KPun+r/m6kwwbRpSFoisyNxPjIyujNUNCCnICemaWLtzGmIo4VnDdwar5vo+PoN+9PRbT4bwjkBvGlsZieYOHUrHEuSo2UmcMSTT6nw34xyeq1dkTtBHJgWNkpTb0XhAKjsvNYJX4sqpcLeZKU2s3G41LgOXSRB1XVJFCVP1sZVOuTR2s4VugCB1X3cJ2p7Axj0h4XO9uj0CDsqyPF6Pze5hvrB+JxFzjtePbKbz3nb1nwKKHa490R88kNjBrmus2ODwKWPT1v228w0RkLOeKGvsgeYayikimVTJnV18L1sNqK9PY+F5Tnk+tZAG1it/J3JBWR0zjNJPp7jwsiQ+GmHxVqhj0iiTghJgpQNhjTMFZ3HmBGt426p+kYqkMh/R33lHcef8j3bySBltPU6HFXd3wtT8W1zeLzOLEcCeXFxw8jBVW+hjvfDuf3iFqseHq/3jjvTq9pGKeo2Azz3bnPG95Dl19nvJ8YqaiimF/SJRju91GhP42X7W5oHgSa+6YTRdoDN4Q+R+8PiN3tFevugHV/xDN73/tuf66CgntC6fTeJ4wNSp6/yi/y2cN/kN+w57laOybGs9es2a232JsYXiIIVVmB1oWAVIAXZp6//LVn+M6rS37teMpeDbUoH9lytN4wr3pWruK5rQXPzJf8R1+4zovzmrut5/rUcHetvLFsuVI1vO4rPjzdxamyZWu63jMRy5GuqHXCWlq2dU6NwUjDVJ+jixXcqbU4HwK9mVRUYuhU6bxypCuuyUus5ICj9etYO8X7lt6d5E6KmAmV2aN3R7F6lzo64y7QmFqYAuHz6ixpEx6Sy3QBSR2G/EgTqqdNfSV2agOVuR0pTA6qyxbn14gMs62igxhVov+m56QLhtOBqtz641yFHHc+nF9nMaoUJPp40XfaU8kkV8PzZ6GbF8rTF59czdV17tC0usToOnSg3WrjeXU1DxcU0oVuUHPM1OmYpKfKr4gNwiUxcBEMva6pmd/zOVDw8BCscPa423+VpXmFHZlw4nq81tyYL/jwzh5vLIVnZ5btSjhGOeo7vrEQnEIthp+/teZbdhteWziupQKQ36H3irXCdh32oW+rt/jFu7fZk2sccIdd8zytLuhZs3KHGFMxq69tKIRb09D3hzkZUhLF2YEmNaXxeQ4bHcvUeRUbZv9P0QthCFYDK8FFeuIgSJU7wud2IiDvK7FjlELZgYqYZgHPGTfYWAMMgWeiNVc5Uez9OgbjFZU09AyjDf1ovCEUsaZILLZltdX4/s5YfGByVyZ9fhu05Egr3wiiGYpcQ6fLZ/rjuj9iYrdQHN2oe712hyhuoxOdxinqaB+SOrvmtCK3WNBhLCMlQylYTXti71usbXKBoODxQaTC2C0W7dv08w+xp9uhCO4tPWG8oZMulG21ojNrFu4uc3MljLnIFKcdjd2lc6usyByKpC1Wwp4gGIwN4kjT6kq+9qXu6ro/inT+dkMMSaTK6r6q5BEmSIKVNp+DwwgQjPeXJGzp/RJGscGGWGa+PXWTN8cvNhPe0wyLzd81dpVPd3jH1/FNqu9AHT6vQzx0e4fxhtzVTYVF/+7ODKETGo7TZ02RNj8mxSzD64yZIh2bM9KheBi0URjdTt5ze7fK9mRjFwo/KmKMC3LptrrajvuDy2tP8U3nl7GZstzQQUiJMrCxxySxxYInC5dNXbtcle4DxsxIFhwHq69z0CpvrQ2/8FbNF09O+APfvMdxJ6yd8i270HnlsBNmFZz0wstzjxXl+kRZe8ONiWNuw2zey/MVXziesTdd8/bdKfvtDr9y0LBy8OEt+MiO4dN3lOPOMTUWp8q32Y+wOzG0TjnuOl6czZhVhl896rjODvscs2TNnmm4Pq34ysmClax4pbqKAVpVrAgzG335fDC1uWG32PYNR/Y5tAkB1NoH1U7VLm6EodtT2Z3snRuqrJsU5xyspg5RojKdoUSGDTzR/+pqO3c2JnYrdm7nKI7WnGyIZqSOxsbriqGixhiDj3O9lWlo3UnsfqYL5Fh8ISjV9r7d6HQkjGlMSRW1jxcaKxVGwcXjudGFJgWtpy8O46C4922ojo9oP6oui4ikecvxhdCaBjHDOms7pe1PqOws06CCGmSsHmcq5qDkrOoixbtDcTyz973cOviFdz4JCh4aQvAWKufLdh+msPKOTh3/5etHfPe10JlXVXZqw6JXvnAYkquT3tH5wJSoxXLYhcdYgbttxzPThrXzzCvhegNfPQ7FslbWXOMKcz/j1+R/pNVlZiVsN8+F7g5B7ddKmCdf94dUNtAX2y4Gon5QZubU9zr8XgdWSOzcBGGUd5r3NAyJ7+mxBzbmeIcg0aP5HN3sKjNKAjdHC4YObzhIVJhOInzj9cRuS1JzFzFItvuwG8WwlPCm8wnZnHMbgj5L8vOFYf533ElOc7djauP4vaTXVBnZIKUurqmoYmCa1KQTDbt3y0zB9trT9odh/7GTQGWOlmnVeEzE7LLsb+fihxupwKZCYXp/2beVNM8Z7Ehu7P5m3j785Dv83QseJlJ8YqSidytuuOdp6ejxnMgJKznmhnueYzlA8azkmLvtV8N3rIJKGlZuGGNoqp1cBE5eztY2TM0uK39IbWZAw0yuAvB2//kNNpKqp7bbQyKUr51tTLq6cA6PznUg2ghuFnbGCP7WPX7EIkHG+iLnjFOdCszPjlacvt6P529DdzbNm+Y9ZXTMPG6QxKlSofkc2vDgyDB0gDcKA/GaMITn4bGqHluNxiPGDQbSCMNpYSm/kYRu3je8v82ZXZvXkdXcffLojXueW8TjdEPxQmZ5dju9ppEKHc1YJ02U2qa9w52bNA0d6yrGg1vUMi/xyROHx2s39DDwyOjNIvLnROSWiPzyO9z/fSJyICKfiv/+2KNay8OCT/50fk1dbfGfH/0EnztQfvXkgK+Yz/PDX1jRKTw/D91dVZgYxUqgKrdemBrllfmaSpRvvXLI3HpWzlAZZbf2XLt+glPhteWEb9rueWkOXbKgQ7EmWCZdn1bcmFZsVVAb4WN7E7aqkAA/O5mzU9VcY4ebZoft2tL5QJ08lLvMK0tjDdu1ZWpDJbU2hq0qBH6dht7ESg+pJFCchw7IpodcEI6a565K2KwkB7GKxo1tZAYP+Thjqf+U8FZ2zrTeo6l2aOwOW9VNrlUfZsc8w1T2qM2MxmwzNbvM7FUas01l5iHoisG6pcbKMJdmpaaW+cZFK11oBj/SarD1GP0vBcCVmeSOLpA7uWPvOQgbuffdxoaeu0ZRYTkk6jYnx6ljnCrlvW/p3IrWnbDs9rOyc0LqrHjt6f0K51vakYl7On7umo860cmyxPk1Tteh4hpFu8oF5fHB+zUiQ8DzK/3PcqgLrBjWtPy7n53wawfhvltLz1eOhyBHNcztWjHs1uHcuzEVWqc4lNrAXmN5dgbftOU46TzPzSY8yzUMwjzSWRuzHc4LbPDuJtBip2YXS02v60x5rM0Ma6ckW7BsRUQKBtNcWux0xC6i98vNPQDyHiGxMJPoigOl8V26uilAzEHrWZui9Ng0zza+77x54HTbmHocRgKm1DbsL4GF0ecOBcTCk9gRPdiGLqmpM+sj3R7WHHzA0yjFaSpz2mfPKLGPOj4pEE1BpU3ifTExSXuRi+MN6Xz3vqP3qw0vcYiq8ykh9n1mxfRRQCb9XptZXHv0dI4jJGkt486ujaJWJeF9fPB+Gc+58B34lf5nWcqaToKar8Hyqvkcx9zmSG9x0H+dpEfR9oc54U3fn5kNyWxIXoMi9PXqm7gpH2Fqdmkk7B0AtYRkZ+M7PTqHkwd0+P5OciwxUJXTtbMb0fireJyaRC8WqendIidgGuhTo2JxmM0/7dP93nO899etGlNyE/KoUTyfx1oA+XcMpxO606r2qeM7XlP6myQF5mTpE3y4w55yeu4WNi2HbBwLG3B+Qj4euxg6xh6v7agQF+ynBotJGITtyMW8sX+vG1Gyc8PC1BsJefCH78/sd6FY15X4pOB941F2en8U+CHgz7/LY/6Gql462yPvl0zqZwH4sfZHqastrk8+ym1zh//mTYfF8tGtLT6+J4jA0sGtFTwzhY/vHtN5w512ws0rx8yPgnjU/7C/zW+5cZfDuzPebitWTrjThg1qauH2Wnh2ZvJ8nhWYVfD1Y8cLW5bdGqZWeHsVkuzaGrbrBqfK3sSwv/ZMjeW5/nmemQlG4NYyHOeoD8+ZWuH22nOiayZSU0lDG4MmG62CwuY9YfDRHZLY3O3N8eeIpihDRTcEarNT9gWhgpsoOrMqzA/t2OeotGbud6ipOZYjrK1Z6zHJp1hxNGabzi9CkhrN35OaIQRBrKSyaqLAxEABrmNV2eDpsppxCggScodWfaZTG6nz+x1XgE9TETfpULGrHQVBnF/npFRGszSJEpQuWCEgDp248eeWXnucYKfbkqdfECDrcazz/TN7haW7my9Ub979+Xs+BwoeDlQdzt3G2m06d8wX7N9iz77IDf88TpWVC/P8z89rptZQG0PrPJ16lrQ8V89ovadt4YV5SE4swquLFf/TZ2c8N/VMrWe7rlg5ZWrDd+/IdXxEfyO3zDcAaFnQsWDlD9m2N2lkh5YFji7oepomdg5DJ5FY0Q9+rUm4JIrMCFGhNXRYcpf1HIjU2ZZskxJYDc/LTBGyDsDZoJb4ODfcls+PzWOcTZCHsYtBDd0wr64RROua4GtuHWt3NNALxWwkpjbN3RJtzGSYn98Yc2AYlUjjG4qnd6sccMaFbjxn/HO2NRm9fm1mwV5qxD4J37FERexyQJ5mh732VDLNe4cnFNMqMyOoVQ9BqOJCQdFWG2up7ZTOrajtFo3ZptVQHH59/6+f+zcveHQQMbTdm2E/6Q/4ev3LNLLNjD0gCNZBYArkEaLYlezcChHDtfrDHPavo+qwUuNkjfc9N5uPs+evU2vNrgmzwAv2MWJpdcHe5CUW/e1An8fQulTQ7TPrKCVRIlU448xp2u0wx+7pkdj1dX6Vv/Odu0vSCEi6ACoDnfn8Atipz2m8R7xjgW2scGzPPw9H13WISZuHtO8lpeTEgAnnXIs1U0SrMB4WbcrSPrpRpBvNzZ6mV2eF5liwyrOycTk+W6mlosI4wT49urBJnx4LiyZhqTGGPa0G1og0mcEioxgw7R1JtNP7DhVP55Y5Dgq3D7FgeE+BBZBjJ7F8ff9n3uHvVHBRuIxCVo8s6VXVnxORDz+q4xcUFBQUFBQUFBQUFBQ8fvh3KGg/qbjomd7vFZG/A7wO/Auq+isXvJ73hCTfuu5NrJnT9/usu0mgik4/xsqe8Lx7ic+fHPMPv9hw0luOugovyjdvdzy3d0zbWbbWHTs31/xm3uCTX3+O56c9E+txXtirHduV58snNbWBO2vhuAuUxYkRlr1jqzKsHEys0HlQhIlRtmthYiweWDvlahPoy1YEp8ptcwfY5pkpvB10kWiMwWmo2rzJHXrTM/dbTMycXtasu7eBkfKe2axGet9u/B5vZWwjIlKFWTepMTKJYjCBxpwsgdb9EU0VVKk7v0Dx1NpQ0zDRUKHeZgdLRctioDCrwRFpebEzXUmDMsyrpmphEGMh/+4JtGJGQjKJzueigNTmvMtm5yV78sbH5O7KKVP68ZxTuj1TH4mCEBo8kGu7xdod5fmcVP1N3plpbnA8D5j8NVO1djyTHOYEIdk4DGuwzOwVHF3pylwQUiXfuWOs3WZ/8QUO5CtMt/9nPMMeBuHIdeyvDR/Zqei88oVDz8r1eDwTK6wczCrD1Cof2a343F3PN+9OmFVwZdLzsb1Dvr64wafuwE5t2V/3dOroccx1h4UcsdZjlOBD2+uaRsJ5GJgUHkei3tb0ugpiNHEeL9D2JxtdjzTLrlEh+N2QKvvpeae7EMOHtUlTDs89K3B1WpzqHZ+rPnaMEvti8M1OjBBDGI2Yy1XEhq5K607yZyFisVJR2Vk+j9O5nwTuxGxaDqXZ2rAWv/mZ0Y+6Iv3mZzp6bF6jqYfnRlZLZpDgqeJeu2pv525KECbs856S9sR0nF7TvlNvdH9k5NFemVlm0zh1VGbClr2e399r+z97/t+w4JHCRQaSc8cYmXD75HMYM6G2W1xpXuEGr9DRspYFrurodZ2ZBq4/Yrt+lqu8QGuXbJkbtLqg9cdcm3yUue4w04bnJttUbfhevmk8HevACNGO2szo/JLWHWw6FeDzddcQZlpd/P55klr6DOdPhlEgBnpwYn1kFegR2yP4d8cXkjBHu9nhHQTihvWcZ5c2xCzDNd6e+v3dMMzB+jxbG7rFXsORQ1d2nWMgq7M8Ix+eOxk9d5gbltEM8Om1jOMAGOKF/C/pAeS/x9BhHcckqSP8bu/VSIUb2VWGfXArvv7QLU6CV2HPiX/rPJaRWDvD+zOjPTIJ+ldRlPHePvuCi4FuzGxfBlxk0vtLwIdU9VhEfgD4y8DHznugiPx+4PcDvPLKK49tgeeh7++yNfsoXX+MsVu4/oCkyHnYvsqkmfO2eYu7+hpvrX8LdzvDTq28vYavLmqe29/lhd1jJpVjebfizf1trjdrXl9O+dzBDnt1z6vLmldmHSd9oDYrylGnGIHaQKeO22tYLHuOOOG7Jze5PvG8thSmVnh+ptxthUUfZv86D9NK2Klr6uULTIzwxlLxGlSl1z5uPICPX+A3zdew1Exll5XdD0IlcRansrNsRj9O4kLQSAwk08Uj0BfTRiyRAphmwoLiYwjmdibPozhad4KN9OqahkornDiWEhLhTtZYrXF0oODo6HWFnKIgVdJkeiKERDoJrlSR7qyJHhRnamFQiN7ciMcXlWAnlFQHO7ccaDymCqqpkRrtfbdBO05zLYY6/zx8fjHo9MsNz8+BehSVLaPwTKI3ulh0qKpZpjOnxH0cgKdrvDFVFgcSsdjLxU5533iS9hPVjkn9LHW1zbx5kcX6G3g94YA3eF3nqPMs5IjXupqP8FFuLZVKhB074bbuc3vdcXNaMzHCYQdvLZWPX5mwXcGyByvKFw92eabpActWZfBacWt9wImcUBGUmBXHcXuL3i3Zm75Mq4HaLGIx1FjjowjqMCOWZvnHNFsRE76PeKyZ4v1x2A9OFY3GPpp+gwLsNh4XAqDNi+ppSrNsUAIdKXgdfDpPCV5l6t7p4HjTXiXtGxUNSz2g9ccx4Us+tY7OHVPZ2YYY3Fg5Nb2P8LcexiWyUnX8WaIFm/Mrun4BDAJ4yS8Y2Cg4aqQiJ+X2RBkcaM2DD28KPrPNmYHKTOMoxvCZp8S5c45ZPYt/f4MjzYWG4qWNs75GDK2G91LLnE4X2f7qg4QnZU9R7aiqK4DFVnt0/d08PrCqDjiq7uC0o/MLJhLo8LXdxlKx6u7S+mOOqjus+n0a2abTBY3dZYurWK3YkobWeVp6tpgyZQsUjv0t1u6Qxu5Gschks9MzKL9He75kGdgH4aW0d1R2jrjqzHVv/N2FeO74NieuKfYYzvvNkYUBm7edJ2Y1TnbH520qEIXnndqPxkXwU6NNAxxeh0K48ytUB/2AdHt4r6nQ1Gf6cvg84hpHRbCzf/9Nn3Hv+jzalGwgU6EsvbanZ7BZ6kef5+j9jbZJayb0rjtzf9JkGX8OG/RsRvTnU8i35T+Hze89uWwUFDwMXFjSq6qHo59/SkT+AxG5oapvn/PYHwF+BOC7vuu7LjxEV/X07hDvl1lpsOsPqO0W31j+HWozY90f8V+/9vdyZRIsQ95Y9Hx8x+BUOF5PsMbz2VdvcredYEW501ZYURqjbNvwe+eFF2aOv3sHWu8REXZqQy2Whe8xof7H149D4AuDYrQC27Vw0isi0Dvlxix0i26vg3fw/rpnYg1Ta1n2QXd4z+/R0dOZNTO/xVJOmJht1PqczAWxgS5X88afy3jWTswEI80QGJuRR+Wog+r8OgeOAFU1ZS5XOfFvU2v4fFPC6+jodBU6lnjWepxf32Bo48ZeiU8hXg40W3+MYJnaXQyGHoOLm71EBUWPx8a5p6zoKpvJfeqWpi5JmB0ezaSMu7hiQ4U3PibN0Dm/po8zVCIme+CNRXI2RDBMPSS0asDUG7lA6gKbUwFnml8OfovB/9f5NfPqeuiY6/ID15V50vYTkYrl+lV8FFGzdpdbJ7+C3aqCSqrMEQy/+Paz9HgcjtvmLQCuTCoE2K7hjYVyfSq8MlcOOsEaWDpL7+GwD9/lZ2bC1046YspGFbsugTVRoWbC2h0yMdt5fWmWs2cx2Blp8Iht6j3W3QEqYfbL6xprZnlfRM8KR8mZZHPTUuhsZf+s+uoYmzPDPlT6cAQLE0+2L5GxNdJQEArHcCQ7TyMVtZ0FheZYNOv8grU7OrPOdM7lRN6PGDBpbjcm+B6fz2HF40fvMxXHTAwcx4lzmqMei12N997KhP1kzAzx2lPZKa07GW4fKTMn5eXQfbMj7YM6/+x0zdRcDZ9TtlO2+XETmVHJFO89EzPDYKlkypdv/6V3/Fs9rXiy9hSLc4c5kZnUzyJiOF6/EQQdzRwRy0H3Ko3dRTBhhjcWfw/61wA4drfYste5zododMpcZ8yrcP3elTlOPXO/xb55HRfF0k66tzdUhZNOR07GGBLaJFo0TrAm1TadWwydSU3z66l7avJcP6TENQlXpX1ltBecwalk+Nwu4qBePI5v8r406lBuClKdLZCn44X7uvz6IuAi2yMcN7AtBt/rKnc8TyeJqfA1/ixPIyWc6Xi9G4tcVoy78MlmKccJMtgE5eOd6s7mNZ/6bFJHPz0/6zzE+6xMclMh2MuZjeaCYPAxlkl7mOI5Xnz+zHssuHiUmd77gIg8B7ypqioi303YiW5f1HruB4vVl/PPfkT1qKorGGlY6R3A8ZMHP8xz29/B1dXLODqeu/sx/p5rPdZ4DtcNnznc4vqkZ2qV15aGb9pyHPeGhQsEEKfwa0cGEc92HTaYvYmw6C27VJz0jrWbsTuxvLGExsDKwf7as1ULUxu6vKrheb0qb0Txqs4ra++YWIPzysJ3LLuQSB+aA276Z7hrDlhxzMRss+jvBD++2BGd2C16aeki1S/Q5bpQVfZtvpiETbQaqTdakkCTScINxjG316lomLOHo8NqzRV5EUdPow0nrOmlw2DpY2LrtMs/V9KEbkQMcJ12Wb05UaWnUY1yInNaDaJXNnaaT1+oUrU5JOkVYobOVN6wY1fFi8HEynZSUM32QEK86CyzzL/PPnSpgjthQ9QhWYPEwHZa740oSDXGhsC0JwTLSUCic0uM6bOadKJHZjEdv6ayDZimiEI8QVi3r2387lyoB1ozx9odtppnqeyMz9m/wxVeYNvvYLDc0a+zVX2MqQ1d3Ze2DB/ecjRG+cqJ5aPbytIJqsKdVphW8NZKmRrLDbdL4yfcsFt8XltqaWirJcYvqMyc1h+TfDez0Jw0CCfZhiKI35zkANFFUSvnlxhp6N1hSDRVB+EZqRj7aI4ttxKGc/Fst+Y0dTkETvHxqUMhZ4PeTIGUkQ1QChhVRx2GEJz1vkX1Ln60NyRmRkoiJ9UO1jSZTjz2ohy/D+fXgcooFVVUOw7jDCm57ENxTKozz7exyztWbE5ISYCXTTsRD1kptvcrkh9oCoQnk+vZlq2LoyAJYY2TvGe0figqDmJWYaxEsEx1Gwx8/gOY6D6p6PvNMKrt3sw/T+pn2Z4+z7S6wvXJN9PrikqmYWzBBbGoSYwKr1Qvs+dvsK1bHJgD0BkuZmIeRURYyAmGmiYWyazUHLXfwEjFpNoKhZ8R8SF1HVMBFsL4Q6biytBRBTKTCcBF94zUPSYqwofvd1Z9u+fPKYhgbQpZjTuq4TGDKFNK4kROJYQ5cR8LQKXlmI3HoqNRqnyekxkrQbhrU809vXb+DKOtWbr/nTu/g/Wa+JbBn3eTAh2Kd5ONRDjFtZlhMvqbBBurJATaYSINOa3TmCpT2dM60rp7VmeSjs1udljzav11Ci4HykxvhIj8GPB9wA0ReRX4QYLUG6r6w8DvBv4PEvhyS+D3qOrlKhmcQt/fxdrtTI8zMuHO6ksc2zej7cfH+NWDHa7UPQtnmFmPEWi94ZW54xfeFv6nz8DKh/nca42ydnBUmzhbFqxLWqfcmFlmleCWDZ9b3eaV/ipWhKuNDbZGPiS8vVcaK6jCYc7PA1X6hXnDjanw392+i8WyLROsqejcFa7YGRNfszInoLBV34hBT7gIzGxQVz7SLm+I1kwwZkLXH6OaVII9xmxHml7oJvXxIpYou1NzFYNhh+tUWrEWWBC8BK/p86xlTSdrel3R6zpbaQC5C2PEUMkMMTbSlh1rv6btD6nsLAdwRmpOfCATCDbO7YULUbYr0m6Yf80XlNNqh6NZH92c2c3d8I1uTUPXH+dNPfwb6OLOrzGEwAOIlCOfk99JtRusR/zw3pPn5vjCl9QR88XS97R96FDZ+mqcuxouUgVPLpxf0EyeZ9ntU/klRmpW9hhnOlpZUtFwe+2YWcM37wpGQpLrVPj1u55P3zX8ul3DS7OOt9sJL81h6YSTzjKxwo7WLHvHM/4ZvmFe43nz69g3r/P28nNM670z6+lzx7DK81ret7jITgjn/BrB4sTHcySoexqzDQT7onBukffJAeOgcUyxGzo775QIBwr1OXTmUac5JNublMYcTCamRnxfHSd4M8kd0TTOMS5qqwYdAmfWuYhnpYmBe433ZxPswbpoNJ+rBi/k1/J0Wa0dBvrzmA6dqNCJLuqjr6c1k1CQjHZmaT5Q6WMnaULnVjTVTqC2MgvdbDOh9y0eTy1NLpqlPXFMOXXa4f0xjd0O85ynvNkLnlyIGFbdAU57bF2zK8+h6tm2N1lXR5m5cLX6EHv+BrXWdPRc91d53bwO7jlearZYtD1OPVOdsTbbIGBsHejQ1Q69b5lUgVF1tz/KXTyISVP2to7z64xseEbJV+8XjBPJYHPYg1QgFk3MkzNUZWIx6zzPXvJzIMz2n5/4blJ78zyxBlXm8LiaMHscHuPjaMf4vaYkNzA8KvTU+ZKS76DgfhL8231aq8+vPe6mjtkmaU85r3Cf1hC8jdMxRn7oDHPSVip6tyApaw9Jvold4KA63fX7iMTivjTx+JOsfJ8cOFLB4owGTCzqn4dNSnRBwcPHo1Rv/r3vcf8PESyNLjWq6nqurFobqp25EhnR+SUfkm9mYoRfvG057gwvzENXZr+1NCbQmm9OLW+1wsuzjqPest8KVuD5GZz0cGupHLQ9t/0Js26Prdpw6Nd4Ufb7lh1bc9gGWmNthMaGnXh/7ZlaYWKFky4EgbUJl4hKhLk0rDVcxHbrCVvVDvttyxEnTHSGF8dVXqYzwc+x1xVzrlJLwzFv5vm9tMlaM8WrIcn1Q5phCyIpqSMCIWltZJsp29Q6oZOWTtYYLE49rYSgzavLdOOJ2aaiwYhl5Q+oTDNQCSM9L2zSXRTMahBj4uuvB+uOOK+WvEmdabAQk900b9gNNOdTGNOKTs/mhvliTxWT/PCeK+oq+AmLMUOnmEAV7fwifn7Bd3Na7W1cIFR97sB4fJjN8YluNMwgJZGchHTB6fwSEVO87p5wpD2lmbwY/uZ+Qe+OmNXXUDxLDnHaMZE5b7THtPQ4vcpvuGK40wrPTZW59by8FVgjb64rrtSeW94wMcqVRri7Nuy3HQd+yVpaVhxT0XDUvY6Ioe1P8ndqTKHLCZh4MODcIFQ1BGI2JJFiqOwOsJW7NMbMAu3uHQsvqQMyCkQ36MvvJWpy3izfJs6zMRk6Kh0eIm23z+MAqbuSOq+bs7M+vvJAEU4WT8ZOcgEtjBq4+BmavK+IDF2fFGSPC1np9vS3qMyE1p1gzCRrI4TxCJvnjcdz0pNql2l9BSDqJVQbnSSNjJLKTPLarVS0nAz+4bmz4/OohdMOR8eX7vzEe/xNCi4S1m7jXOjYh/1khfYeXz8bafaehiBcN62u0PpjKq3Z0hk9nhkTJmLZ1j1WsuJuN2HH1py4oKlR09DKcuP65HwQyEoibmOkpHDj+slmQpfEoJxvc0IV4BAzi0mnG5gacH6Xd9xHyfcPe8lZH9+z+0eiGw9F7fNeZkgQBUbX4vHIQSa+kMcwxI4S9riPxH1joEJvaiZsrG38OepQnBp3TsfvYyw2lR4bCmiBgj6pdsOhRglz0A5YRb/1sMdVdk5T7+XiRfoMxv9Fhn3MmJAAJ0p2sKMavUYqqPmWdfuNsx9wwRMKPXe2/EnGRas3X3psJrwG5w6xZh43ihPqao73PQs5xApsVcKdlWe/Va41hhemPZ0XFi4mjKLc7SwHnWFqYWKg9eBUqIxSGeEZ2Wa/7TjpDWta1rLiSIUjB9N+ylxqrk0meIXjzmFF6CTQC1sfOsXbteXWas2bS0MjloWuEWpqI+yve74qr9IQqHi1NmzrHgdym4UeMper1NpwS78QTcdbajvHmDp3FYPKX9rEe5ysM73ZmDqLSUFIMisaOmlxcWpxojNagSO9hWDporCOqmciNT1rvO9odYmqozZzKpkGyqAhCFtpTGa1y7NraWYt0ax83JS7GJSfRpqJtdLEmdxB8AoCNTGISo2STjwyChbThcHGoDJ1bKrYzen7k3xhqMyU2s6ozIzKNFSyx9ofZyoiQO/XiFgmditQpbXPs4KJKpnmDQG02kYJlPTz5n8Kniz0/W22Zh+lruYcLz6PNXPETFi0bzO318OceqTv36y2eKs/ofdKr/DizLNXO1bO4PwQ3h32homBnUo57oOS+5FruWsOuKVfYFee5y33hfD9GVXrx8lX+k75ONMlGlXZtQdtM4XZxzEHCJ6Uga2wjreFOVtrtqKYS/T2Zkj8Mka/y+l5Pak5T5H5vZPi8zHMBYc9qXerGKgNs7JJ0Tl9Fnm2Lo93DN3c3i+yZ29OZOPagt9xA1HpedxNOl2wGo89pNftY4Ca5vjTOZ/GGpKwnpGK7enzbFXP0Mg2Xh1Ls0/yEe79Mnv6AlRmllkgva5jQuwzxbuxO0zNbngtqkhxLvvJk46U8E7qZ2m7N6mqK4hU9LqmM2ssNfvu69R2ytxc56p5GUuNR2mosWLo8BxLYF+JNzR+gsPRSUdHYmGFApjTnondwumavl9ipIod2yFxG8Z1hmRoXGDLfuC4fP5BSi4tw3wsIMJYGC8+8B0+jfcK0A0Sv9cpSUzrDK+VaMQ25tBBmXlc9E/rHL9WSNrdqftB1IFEBfnIbjGZNUaYaY1J7OnENxXfwqoNLn8+ZlNbQEcidqOuq5HI2NE+U7QTQ21g7zVhhIVUwDRZiNRgMGZG605ATgsShrVUdpp/Hnd3xzPeZqxPUraTSwVlEL+9LChJ70NCurAY0+D9Oioowqp9i7rao9Kav/n2Mf/LD824MjEcdcJzTYdX6FRYOolU50BPNAJbVjnsQw1wapVnZ4ZVb1k5zxvumOdNoA89pzf5kvkijc45liOe1+dYOc+0sogIViQExZHuvPKO1dphRDjwS67YGWtp+XCzy8QIC9+xMseYqKDXyZoj9lnqASf9LRbcZqd6lmV3J1TtfIvETbAyUxxtvFA5jDSZhpekzZMtUerY1hI29oUcxw5vFzdRR6vLQOvVQQXZaL3RiYWgzLyIf4s0byZiA10q2aH4JPwyy3M6KQANwhlnxVzSnK5JFxgfBF42ksr4vgwmJ6RuNMg0VEtb6mqLZBEx7oxlRUugsbuj4HOVuyp5VtjUsStT5eQjz0TFDreN9KMkjDWf3ADgrYNffNCveMFjxMnyi0DQCXB+gbW7rLu7HFWvs10/FzpyWvHxqzUvdHtUAt+y0zOzLtik9YZOg/r7SR/GI6ZWOeqFiQn7ixXDidylYspaj6jNnNosEbuF82vWkZaIAEr+vo8RZssmdP4YxCJ5zq5DIvWtd0cktWRwqK5xPga+6fgQOru5SzCOfkJSHBTHY/Kbzp0025uoimIZhG7ifO99TM14v8QYIArneKJ4DilYT3P94QxPLJFkCeb8OrA42OyQJ/EYIxW1mYXbDbEA11GZQDuuTEPvB5XVVFALhbdhdhhCYp7EBYONWZW7x973TCfBDm4qu2EvF4PVkLT3hK6cjWr6RurMkkmFOefXkYWyzsnt0t1lYreYmmdQPL92+y/e82dbcLFouzexdhfnDqmqK9xdfJnp9i6NbIfrG8HC7xV9hZW2zGXCsa5Z6ppW1rlDuzAnA3soMrOScONYxKrtT6hMw7TeozMNbX90pvOYRJHGdF1DRdcvYoezwUfdjsAeqUKhTB1iJuF7rw6VU+d46uqec+5vMLfOdELtKDkzecwgFK8H2m5IFoFUtIpJ5emkb8O26ZRoFwwjF2nJ44Q7i36awbJwWOsw7lBFTY+aWd47gsLyKj/HxY5u2oPGNkZB+6MKI2hS53gm/03ieupqeyhKxOOmotmYDZKOn5N0NgXBNq3X6hyDOb/O172CgkeFkvQ+ZCQF1jDfu4tEsaZvkY/wyu6Ezx/BR7eVK3Xo6HYq7FSe6xPHc1Nl5QxrL+xUDqfC1xcVlYHDVlk5pdPQpX1Od3lmVnN4NInCNM9zYO5gqTniBBzUXcNWZTACq16ZWKEylrX3OFW6uKkt4uzpTm1Y9Mq+HGDEMvVznATq24pjVv6QLioO32m/QhVpuCkY9BJVhk2N9RMqcx2PZ9XuB5qPCReWRLM10ffS0eElJIKtrln6/Q312FARTP66g9esiwHjacXiXlc5EExdlDxDZAY7Ek+gaKYLysac8OginIP9dOExINH7F4hCXQ2dX9L7Ve7aJlErERtndX2kJzaxOzPQjNKFK3WGVIPHsMicVRQ6z3SkNAeVAg0fVaelwjKoY3vCbGFKKsafacHlQN/fBYK4lTEzjlffYFZdR3HM+TC3lp4Xtwwf2epZ9Ia315atynOjcVyp4SQySKZGWceCmpXg69tqx56/wY5+hNvmNhOd8KZ1ODomZhsjdS6aqDoqOws2XRpm79LvvTsiCKTE4EY102BPW+KExNdwdm4rBoMbye6YahgFZXKnx52d4YOz3eL7RJopC7TKaV5Hpi6O1do9sXvNsHdE/QBrmo3OU2UaOu8z2yQpYkMShlnnPcDEolbnVhv7yThhSEJ4Tnvq2A1KM8EilrqaM69vZislR4cRy0S2Wfjb4e+Z1ZxDoJ1GRLyus1ZAJRO870ICPmKadLLIXs4FlwdJJC/FJ28vP8cL878nXisqDDUHHPNKfZVelbfcARWWbd1iT3eDs4NEP2itcNLn4viqv4uqz4KXLgpWiRjqUZ4ZqM+e2oQkLSVgKVlyI/YBsLFXJDp+SmpDPJCwKSIVH3DqExjtL2LO3sY4KdtM1MJaRrO0jHUHhmv5sG7Y9BxPNOSRLRtJ4G9MPQ5JrrWTjeRw/Bmkzm44Rvpw+6yMLPgNXYBJtZ3F7saeueNjJir56aQ1vH7QN0h7wZhd5t1gYzdmwIw/u/PmjROLLlxPusIauaQoQlYfUFgzx/nFOfc4erfixHUcdTW3156bU0stYT/+3AH81pue52ctV5sV//1bV+Mcb8tBV/HhLeELx4ZeoTLw4tzykW3lv31D+OgOHKynfLm7w6G5iyXMWnV0HHHC2/0dfO95QW8iCNtVhYjQGMPKeTzKzWoLgG0NysZr57FUOO0ItkKGnlVWSQ5CVDGxj79bm6p+a6oYeFk7yzQ7gLqK6o5xXqwyMwzDRr7W4zwvPBZssFLTqwsdztEcio+0nCRG5bVj7Q5HFKAkGGPwdCTP3IoguOFjMJ47GwxVzdPCLMPrdbnqmWeQEp0IF0SkdKTOGD+fcEEJHaBclTVTJmabXtfUxoYLSjy+0z7SvM9eKEKCXm90ptM6gupsVLZmSNj3jz/9zl/cgicS13a+gztHnzp1axiZWHRvMa9vspAj3l5d56M7NZXAVt3z1vGEb91dcaVZYwT+2pvXqEV5adZy1FcYga+cWE46z/VqznXmVCI8w0sc9R1LeY4jgh3SXvUSC387J3S9rnF6tKFG7MRgTdhD3MhuC0D9MgSkG91fk7uxwDmdlgGDR+9w3qfHn6H9Di+aP6sHhnqUDucDUyUdL3e90y3a07qeRkwcf+jy+TnWDQByJwwiIyQqz4dz2VLJPHRWtQvWUbHQkM5rPPm8Dx3bCTChtlOCx2/Dtn2GtR5j6mAnlDQLPB2OPjBC0j4nFksTg9s6d5HD+xpYLok67X2Hj3+HW4dFE+Ay4ube95xi+nh6t+Cgf43eL9mqbtIwZ9+8zTeZazRiuO722LIVW5WlNsKnl2/iJDgq7MoUpzsc0GWRSGsDK8pG28bazFjHRLupdnB+TR0pr2H0qMf7QIvOgo7ZZmcVtQBiApqYVSgbYlMbbI/3TpxOi16lDm/6eYghhpn9wSuYLNg09pEN72ckdJVGQKgZhKt89hceXjfNAFvGe9bYE3jsUztOfsNrOZI3eGKZpc9WjDmTcJ6e8zVSYatJFNo8GSXNYXxq3R9SV1tZKyB9vIEFsvlZj316U1Kb9pJx9zuLbsb7Snf3MkNL0ltQUFBQUFBQUFBQUFDwdEIZWBCXBSXpfUg4r8ubqG8AS1paP+V6Y/naMdQGtmvhy8cLnp/PmFrPUbfNrx0JH96Co67iTltxuzXMLGxXwW5k2StvrgzPz4WTXlg5z4fqa3y5Uxqd0EmH1YoKw5vyNQ771/no5BMsXc9R3zE1FR5lqcGTt9NAdbYirJzyVrvilvkKaz3mjqlD5xWbZ7uc9mck51OHYKPT6NssbABDhdGPuj0dQTxKNNzuCJSoicyCsBVLOh9mexI1t9dAhwqzreHzraTByCx3o1OF0eHyCWmjtyhA75ZUdujGpsdvqtSaUee1yxXToYJrM2U6UZXT84LgTejW+EjJrOxsg06YuscTs03nFyMlWDfM7LEm+f2GrneDsXX8fNf5cx1X2sYiVrXd5s27P38vX9+CJwxnu7yJxmbiOdixkmN2J5Y7Lcwqi6D8yr7y8e2am/Mlb5zMaUyY4106w6215W4rOIV5JTgNYik3ppa7rWflLHPdYU+vcde8zZQtMDBlGyc9C91noW8xq6/lvSCIlcyzB/UYqv2GUrL6Ve7WQOy4jDq+pylwY3pzpjjmx1enHgepIzSekztPqfleEMR0ZpgoqDPM9sWOy2jEoHUn1DrMyCbv4UD13jxumAVe53M2dbas1GAaXD/cN3RlB3pzmvFN+0nq8gI4OrbMdU5G3fnA5wldY0ewcjNSg3ZUZhbvd1kvoM9Wc8O+nrvLpuHtw08+0OdZcPE4recgEsTmrNSItUzNHjv+Kh0trVMmFl6Tb/BN/iVqI7RO2dIZx5yEa7bAvnmbpR7kDmkVZ8h71jTVDrWZxzGJBVv2Ogu5SyUNlTRxLjbY8E3rPTq3Iik3D9fieG5nBhWZHhw6qGMF5vH+YTJ1eOM9nxmJOKWQzngfCirDCWNV5NOHGVObh7VXiHo0ahmIVFFjINGzR4r40gwaHXHWNggFDnvJWCdgfM1PwnZZ+XrECElxQh+76WMRrPFaE3snjF9F+zLtaKJVYhAKG2K5cSw0pkqPxcjGys6nP6t0HDuKkQsKHgdK0vuIMZ4N+Wz3DT7qnuOl7YpbS89bK3hla8pXj5WPbhmOesutpeOZqeXXjif0Hu52wVZoWmswhq+ERa8snXI15FBcbyy79U0OO8+b7YI92zC1lsP+Wajgf/Sf5jovUmvNlpvS0TOVCY1YDtyaWiyVCm8sPW+YNzHUUeHT4eiZypyl3weimM2I1ZKS3OSxlzZO51cDDSjOi8AwUxsofCEQs5HmLNg4WebpWOISBZCaWsASVJvDrNk0BJDRt7cx25hI7/YEa6IUmKfXS2rJWewl0/jcuRYKVjY3ZDkVmI8vPGl2t4pzgGn2L1mU1HZKZeZZlMrT0bljellEMYiQRNcxEPXaBdXr0WvbeDFro2doSnjHQjYJRuqS8D5tkIrKbmVK/g7XOeocu7XhtQW8saz5yI7ypZMJ15uGg67iqBfurAUrE95YBuuzxigTI0ytwSuc9ErvlQ/vTFgf7rFT1TzPLkvX48Uz01kWslpPjjlavRaobIxtbMK55U2T55DPSzj1VMCHDHNxp8+vs0/2MTl2kGlzdnTf6DUHb5D7hsZ5XbE72FioArLv9obITFSkz9TgWBxMc7tZvXmEcREtH/vU7HOiAVZ2moNYIKvON9XOxn4CsPKHrDik9wt2qxfC6ITMURw9Lu6lJgfsaf8SgvBeFuliEMjpfZvn+ErC+3QhiBPNs4uCYHidz7HDM9zt15z0K/a4ygFLblAH5wd6lnLCNa5wmwNO/NtBewKLlZpG4hgTNXN7nZf9x9k3b9PYGWuWeOOpaNghqNDX1Yyl3c/XNBgSseBhv0fvDkYid/7Uue3RDZptSupk479nfHxHReqAWGzeUCQf7IlOaxAkHRDFnzmX02c5LlqFc8vG/UvjvjBSgo8Jb1KB3tgbsv6HzfO86dxNdOfTRfv0mOQTPGyLo8Ta9xtxmZGa2k6zH3vrTnJDYFZfQ72PDYNZXlfwKDbnNg5Ow8TGQ4oTBcPhyWfOfWzBZUFQ5blMKEnvI0Rtt7PgyC37Gk47Wv8ML87h03cXPNfMmFXBSuQzhzWLXplXhp1KudMKJz30HpxR5gorJ/SqrD38xqvCN2+tuXu94Zdut+zWFUddx4dmW1gRlr1n22+zMifs6TV6HM/ZXTr1XDEN27XlsAvB3UrDJldT0Zl13iD3uMmKE1YalamlQqyhYhCj6OOGnLsDseqYfDk1/58N/r2+pzLT0B0xs3zB9aMLRFI0TckfQKcLemzu5krsWgyBm8mdinG3InVGyPM/Ngajg/3IeC4nYTwzOA5Gxxt6NQqIh/m3KDIxshGxpokiIVEFUeZ4FzrmqTuU3qdPXWyp8Qz2SCkpT9ZK4xnBHBCPAud3uvAUXF7ISPgjffdrY/DA6yeeGzPDs1O42Ti+dDznrdZyawWCctLDYRwtWzmYWDBCELSL1kY3p2BkxpePWmwcmPsN9YvcWq9YEyySrtqXMVPDcfsmTbVD2we7ClFD17d4v96o5J96A/n28OPZZPesEEz6JXVwHWOPy0GpmaFrHGeIH/yDDsFpmlETTE5+xwFu8CdvcqA37oB4ujOfw4begJKLBmMYU2EYuinjYySxoco0URMhCenVec9Lyu2tLkNXly6LBaZZ4bTnjJGKc+hYGCcUOly0hyt4+jC2Azr2t/LPb5nbNDplS6dMTcWtVcvK9xyZAwyWmVS8TZ91OSYyozJX8erCdx/Lc/pNXDdbrDTaAQpc5QW6EYNpzh4tx2xVNwHoIksp+9HroJ6eWRykZHYkDDUSrMrJbUqUxYS9QU4nx5v+0+OuKgyJbbrtdEK3eZvPn+XAbuuHDm1am1QYE2yRctI8mqEfd4zHNknJQWJYfei0p9uShse4eJ+cHlT9oMh8iopqzSSLbqb9IYnoCSYXWJOSe4pjxvPL4S+zObub/xaj/ev0a5/WZSi4nCj05oKMxerL+ecXr/525uYqvfd88Shs307huFMWvWcSKXGBdhgS3DtrT2OFLQOLPqiuGhGolP1W6OZCY0Lgetw5rk0mvDC3vL5w3OlalrJiT6/xkfoaH9qxLHp4/aTHGuHNVaC7zKTiSj1n5Twr31Nrw5IDDIZdvwMGjgl0uWRr4bRDzYzOL7OticQgse0P40aY7EkivTiqOFY2+NBO7Ba1zDON2ZIk+A0ty5y8pW5rSPIGoZUu2v4kqtQYgU51nBPPhLD5D+IwpyuqVjYFrmoTbYRGViHpQrfq72Kkpql28vFSddWPglmPxxKp3xoKCsEjM1wgGzsooCa6lzUzjAabgbRGKzW1zFn5uxuU8fR5pA6x821eU8HTheQJDvChaz/AUoJAjCpURmgdvL0WXl9arjchuV31MK2Cz/dx66iMUJng/T2zwb7opPeoKp0XnFda76jFcqNJasDCmtgRUMMN803cmH4Td/U1OrfC+TVdfxytRWIgiJzTuQ3BHtHPM+F0cpew8fwYuGZFZBk6ONkuZLTfPChC0FljTJP3rGRFBgydk4hk5zMujIWeTpWpe4PgXPQpJ4ny2byneN/T+WW2IELI3eLc+VKyhycMHePEaDEYtutnY+c5FMxaPR6Ke+lzjkI1jWxHAUGX976wvvg+dE3nzvcvL7j86Lq38s/PXvmteO2Yml28eCofQsMlLce6YKrT6Mu7Zqpb9JEOH5KpcN2rtaGTNZ0umcsOHS0epZdw3Z5ruNZ1smYhRxg19NJhqNnmOp1dRAeENqjExyTL60mwJyLuAdniJ1zblWEMYiPhPfPf04XgsyJ6p/cPT79xW/g50auHRBOI1j9pz9q0K0oFSyMNYgLzbegEJyaHyd3T9P5U3YY3eOrQ5ncQmXM1sw3mWRqByT64o+ePMS7WOfogxhn3IxGT7SXDvjEc25g6qzZ77bEyoY4x4cbx43tK6x43GMZCnAUFjwsl6X1MeG3/Z9/xvt/3/B+n98osUpc/fySsnaf3QU25dcKVBqzAbg21FyZG+dXDCX/r7Y7nZhN2a0Fi58bHzWlLZ+yZGbsTw/5aOep8mOF1ki15JmK5NrWcdIY3loe5AzCRbWqtMGpozHaeB6tljqML9GM5O98rUmFNleXxPX2sJg5dUSM12+aZqF4augtrf0xjtgdf2nhhqSOFL3VwE9LrJtpP6gwH+w2HN032803djVQVFUkBstvoaqSEd7PSO3gCD+/R5G4bsBFsjzsovW+p7TQExjIo0I4p1+H5PldoVf3GhWOopPo8Dw1gMfkiBURT+TZTjwoV8enGV+/81Dve98+/8ic5MsLUKls1HHXw1jJMb66d0sbYqDJBRX6rMqyccmulfPbogJvVFlcaiwBt3ExqrVlIoCZOdMJteTWPEORgStOcHRtztQmqfUh6N5RKTwebw+3jLsz5SJ1dBTlLMXwwDB6ZaTY+sDOGYNFpHzofMTBEhoA3fQ5+tEcMifvoVeJcrZfQWe38ce4qjyvnVppI2/Yb9mwu7oXeD2yRlGRrVLvvUwFvVJCzkREDxO5vUMcPrxWU+X20mlEf7NXSCEXB04t3G4X53qt/iC4WnHf8VTppeU1ucchb2erKEmjBtTahQKsNVitu6zGNTJlp8Oxe06Li6XRFzzozHjpZ4/zmDLn3MeGMHcgxqyPrAYzHI04nvKPRsnTc8xglm9i81icF9WRbtlmUAzkVQvuR3VLy5g5rM5kKfdoBYlCJ7tGRwnpKWrP1IptJefJWBoJP+Igd4ujzZ5sYZmFNw6hE2sOMCUwz9ZufVfbtZYiTcqHhTFc62hhFj+/4pvN7MVKfqTkcLz7/Dn+DgssCRfFyua4NhQP5BOBHv/HHudoYJlbYqoXfeEXZroXdifDMzPDilqExwqKHzsOVWrk2UayBa01FY4VvvxLmTz5zd83aeV6eT9kx09jZEUSEL7V3eM3foTbC1FScsMJIEMdyowD1Ki/wjL7EvhywkCN8nHk11Mx1lzl7NLIdu5KDF5wxdZhBMxWVnVLZOZNql7rapjJTrAnVQCMVjYZZIj/qkCz626PNNG7mhJ9TRzcFfUn8ZZy0juk/VRSGsPE5Gxcr7PBvdPFRDR2P1NWGYVZmjPHvvVvmgDfNxaR/ae7OaR9n4zbniyszo/fL2KlZn1rj4PuXZoIGi5PB27cyDRMbLGMmdouJ3cqJb8EHE//+1/4YN6dKJXC3hdZtJp+HXc9h17PsPUddKIbVErq8W9JgBF7aCpS815ahAHPdbDHXbQyGQ3OHhb/LcfsmvVsMIw3u5F2TI0HwuaAzvvSc95yBIriJUcdGQ2J9XoL9/nCWdhdGFOrc+YUhOE/nqj+11rFdx+kg+3QhLQerut6YBa5Mk8WAKjOnNrPA6ogJQUrMbdwHHB0rf8jC3Q4jKKOxkVRkS/N3nS7O2LPZSLsMe3sUCjSTM3Togg8OfmH/zzAjFK1P5IAuCrEJJtskJraVpWaiM3b8HhWWCRUezxU7w+E4MgcA1DLN7KfOL+h1zbK7Q++W+fzq3RHOnxDGGdK5NZqTxeF9YJdsClSNu7qb/5VR0ncv0DhDrzq8Vvqn2uN1vVGkGndOw/NDxzfsDY7k7ZuozWnP0Pxfn7vAZxLcODubRO02BKRO7VmpgGYigyN5caf7wnMCOy/47/ZZeNTE/WQ+uZmPNxalSvtZinNSYp6S8zB7bPP9lZ2FwqGZ5TUVT96nBx73UP49LpQr2ROC3Ykws8pLM8+88jw/C3+am41nbsMm9caqYuFg4WDthRemjvW2ZeWEeeWxxvDMdMKtVcu3b1ecdBXftBtEs056z9+3d5MvH3XsTSzrVagATozBqXLQDgHbTX+dQznhwLyd1ZtT9bbWCRUVjo6ZvYqvA1U3iTAlum7qRKTALImuVNLkbnGfA7x40TShs2upgmCVsfnCmuh+rT/GmiGpq6TJ9zs6iKrNMNCDrGmYkCqndoN2mLw000Wlkil9pF+6M0Fsv9G5UUJXVjDUdrZBIwSy/2VlJqz7IzBQSbjIpMqvNQ3r/iiqLTd53aeVVNOFupImd+kBrEm+fJE6KYZv3P25B/wWFjwt6DysPfReaWxQee9j19Yg9Oq5ve6oxRCkYIRn5zXQsHJKJYExcqVq+EZ/xLOTKV/v2kChj16yxtQYMwkz+t3td1/QCKp9CFLz6MHZWbvNYHVcDDpfkfV9zfCOjxWTPhnN4I8DyrB/DGr2QOyG1vn3dP6anEAO6u6qDi9kyb7UFcmKzTFgtsbm/QSiH3oS/BNL55dY0+TimR09to3FBxEz2o8HpovGEQyjbIhamUjXTMU5xUXBGcv+8S89lM+34HKix+MiTbmmCZ1EYIureBy1Nsz9FgtzkmnPooY9M8N7pZbQl9zWHQ7kDnv+Op2sEDFsywscc5tptUfnTqjtFov2dkw4R9TicWA8KnJpmttFIDIzNlkiqeiUzuPTRa2zBajhl9RdTtfhOeBQ3+YOtInd5uF1K86fFx5mk+HsqEToAofnJwcICM2ElGRW0gTGmwzU4XEnNq0/zehbqfLeMnRpB4HNVDzvZUnfL2jqK9R2lmeIjZmx6u+eYacZU2XV6BRnZV/wMaOFQXQrjZuJFAGrgvuHiHwFOCKcsL2qfteDHKckvU8I/tQX/jUAfuZ7/yhG4MXZkqOuxqmwU3d03vDcdM0v3tnCSpjXW3vhu66uOOwrDjrDh7aUXzsIgez/8HbH3/dszcopO3WwJ6kM3JhWHLSOxhh+/fQKAtxaddyY1txeGF7UZ6it4dgLXh0LHywG5nIVL54FRzn4SmjsDlV9g1rmmXJz5N7AR1uMyjRUMmUuVzEaNv41iyi0UiPEGbZMuwubY80MI5aJzuhkjajBmJCYhnk2RyXTXDVM9GdLjZMO9V2ckQlQ9VEoJs351DmwtcSZZQKdZyz8koLTEBB2GxZFQK5qwtDdMfHY6bF2NIsXHjcEluPbUkIuYsK8syZBsMGaqDYzWn+c54Kn1RWmZvcMBbzgg4s//Jk/BsA/9dwfxwrcXrdMrQ3jDzFBfG424e7aYRGSxsBHd4SVN3z12LM7ET67OGBllvxS9za/qfom3myXLO0haGA59G5B1x9vBKfvhA37IhRRh2RK7rurNm8mtX4z6H1YCS+CMQ3GTDYYLHk+/xTrIxWu0rxtslAzhPM9BY4pKAzHCoFnSkJ7gmXL6e5xEowJj/O5WNizptfVhrCNSEjC09/A+w7n2/AeKpsZLOGTO5/u6fyaLmoNpERaCfeXUYmCv3b33wHgN177fUAsMAM1k/ydmhFF3dREXlgIL5+ttunUc83O+Yoe0UvHq/pZPuS/jWNzxFKCDsjaHeF9F4s2/ZnzPolQngt1aCz6giXpWt07jfn0KIU/k/ACqF/mNQjVyJbS55nVys5j4Wis3jzS+RiNhI3dPYZ1JJG7Qa3ZmoaJ2cZKTaUh8XXJ/pHNJP+0lsn4c3AjbYKUwHYuOG0EBf7NYtu4WBduqIYCfBS8Co+zkanSbzyv88tc/HcxjioJ79MEfdxCVn+/qr79fg5Qkt4nDN//C3+az/6OP8RLLx/wjVd3WbQh8a2M5+664buvLXh92fCZw4pXl5ala1h54bN3ld90Tbg5rbnWCLs13FrBSRdmT4wEu5IbU8OyV17YCpvS9QaOOxsS7XqHoz5czOY6YyrbHOrrtNoxkRlX9BlWsqCK//PiUeuYSNqM60iDtuzam9zhVSoaZuyyrXssWWQl0Z51/LnPc2dA7DbYHFBOdJu57lDpFWqt6aTjgDvUhG5pF4/j1WGpIF9MLE6GhHczSTU56EzJqZGaikEQK1VOB3pgoEN76UAHiuCZY4/UoWFIgqtREA1E1VeH10EFelBEdCibXnxGaiYyY+2PcdFrUzVUynu/ALP7rnPjBR9M/Pk3/jgAP3D1j9L7kPCufM9uNWHRe56dV6jC3dbx9tKz7IWjzvG59k2+c/48DROu6Dwf763I/kjFHNUO75enksF767wquhEMDtikPg/H8gOd+SEiiG6FvcPIJM6yVZmRsZm0jucC7UawaUcBYRit2JwB1Dj7eNrqDAZBmqQjkAPeuNckSmBgwZBF9lJQXEkz+JxXW6x7jzEh2GxHHehBIDCMhnS6zHPZSawvaBFsc+vuLzzUz7ng8uPv3vlRIAjphREnT8eahhlrOvbYBoG19qxpOfTQaMU+RzxvrrDtt6llwlS2WcmSY26z9se5oOS1p3erKIp3VuE3xAXpXKzR7BKhoXh+Lt5JJdhmDYLBniglu+d3lbNKMQKEGdzkdxz2gTYUAUcwUoX51ihQF2/l9Lzxedta6LZWOU4Ja/Abjx/bEon4EAfFx43n8VO3uO2PsGaCUxvHMoYRh0QbryXsL057KjvbKN6P2W7jhN5KRa9tbhAEtlpQsrdSlWT3KYTCxojiZUBJep9A/Pq/+mcAcP/UP023tvy3X3yRa5OOg66i9WHjm5igtvqx7TX//e0Zy97xuQOLlWBz1FjYBbyGrvDMChMbbv/WqyZvuS9MHZ+1BitwbVqRRu7mpqZhlpPPGXusZMFU51RYPMqEGVP5EC1LKm2oqLBaZbGGZ/gwrbQ0GoQsUtK6lhVHeguPp/OLDXqxkdDBCM6SHU56ruteDH0Vq5bDU0FyEL+qw7+sXLqOF4yQyHZ+kR+fgjtjBuVnrx1eQn3an3PxTAJXgepdbYhNpE5N6tJYafLFWmLnmyhYM54htlKH2R3vNyjX40prSoStVNQyp5VlPK6lMpMwO2x3H3e1reCS4af2/3RIfFGWtIgTlk54q1VuThp6r3Tec7WpWbkQOP3aySFLWeN0wo5Mudu19LJm5Q9p+8Ns13OmSyuCaApEB5XlcaEoQ3sUk7sqZ2wsNjovjyDhjWMBIlVQVj21t6QOaR8tiNK52bslLu5z4wDQSpNn9TrvN/wrvXYb+bxnNPc76mJ57RAdbEequCemc7ySKb2scxKb1V2xeA3qt8mCpPPLjU51eFyiObugqyBdLvJVpole65crkCl4vEhCer/u+u+NY0XQm55jjrji9yId2rFiBToFgTtuwVpaHD0TnXBo7mStit4vSHPxzq9Cp3dEVYZTXVv1VHaLzodOY9g70nUzqSufLaidFcY79fNpVsmpPWdzdjg+S9fUdpq73Oddi8czvGFN6T2N6dibzwm+waFwFgrb5IQ2OUbk/8ZEdKOIFkXu0rHSPpTs17x2G4lzSlxVPa0/ZmK282tV2bLt1OswWCclqvRpO0XBnBkVK3ha8FA7vTdE5G+Pfv8RVf2RjReDvyoiCvyHp+67Z5Sk9wnGlT///+Uz3//Ps1053lpPqI3y8d0j/tbtKxy08K17jql13Gw8J1uW4y4IYE2M8NZKmVphq4LD1nN9Grq/TpWphUUPJ73wprFMK6glKLVu1QavYBzsu9cHlWRMTF6ndNLR6ISZhkTtWCosFQZhqlMgdDVqKvq4OdZimSMcqwTV4bhRV2boriZRjJTATtmm1gaPUmNoY4/YYFnLgk4XeA1iGFZ6GtmOSeZAFbRRTVDEUtutTHcWCUFmUESOM3r0Ofg7HZyfFquwpkH8GtVgZ+S0DwGw92CD+vX48WldtZkHQSoME7Odg9t08Qo/O8aeglbqQOmOFVMIAe68vsLKH+K1K13egvfET+3/af7+K/83KgytdlQy4cXpjIO2Z+0dO3UIGhtjuOF22eeEbZ1jEA50yevmS2Gm3C/zuQRnFZazGF1KfOPPSAVnziuXHxdu8MN3P3dcUpL2sBNekxNeiQWo8Do+7nt17rCksYGkThrGJKozSf94bGGcOKZgsXdDEjr+3FRcFJ0ZPDs9XbYtm8peOH5KfOO+WZvdrFw/kVlOqpN+wVg5OqlJJxu4/HfCYqRiXl0LhUh3zK3D0uUteG90Uf+ikzVGLbv+Ci19Lm6/oM/i8DQ6ocdhNTCw1rLibv91ZvZqZheoBoqwkWpDYC2cp+ORKosSRpdSpmio4n7hR885S23eTHjH3dx07kc6s+ro93dApFIbqXBulRPYQTAqvAevxOQymJltHGJjnaNYQD1eenofZnoTu2ws1pnfxUhkKim1q/ogaOmWWX8gddLNqWICDEyT5MmbCnyCAwOiJu8pKe8fJ76paJ86zqlDPZEtOrcsXd6Ce8Hb7zGn+1tU9XUReQb4GRH5VVW9bwGbkvQWFBQUFBQUFBQUFBQU3DPecc7+Yb+O6uvxv7dE5MeB7wZK0vu04Vt/5t/nW4H/8Nv/BFdqR1P37NWOb9m1vLY0PD+t+OyB8MayY6uy7E6Ewy6I0hx3yiQWFu+2MLWSVVkrgXmlHPehNGcN3DrpeWZWsVUJh51wffES29UN1rIABS8eq5arMqfDUYvllh5gqbBqqbDMxp69CHOpsSIc+46l9vQ4WmmjGFadu7NrPc4iWCbO9G77PY5kn05dFDVPSqcuCzu1/jirHDvbxVm10MGxibojNszrCqzcPowoQj3rQGmOwljpX3je0HEa+2cGGmE3VGk99H6dO8re92DAaTd4Xsb7gnhXOO7KH252g0ZdmdPKrp1fZDGbRIFe6zFOO24dlK5Mwb0hCdL81iv/FwShMlAbYeGV2+2KK5M5r7ZH7Js7TJlzhTkLbVmYE27qy7zF1wHo3AkAld2h7w/OUJzG3V4IND7VLs/7ht+TDyds8H7HFENVwD30Lm/C4JEZrDrGyuzOr8EkP8yB2pwoz4mK3faHJNVjEZ9/BtB38TA8LZ6Tu7NpH9I0ux8eF0SsomK0TDePhWPlD3OHLPv5Jh/l0eebLFRMVITO1MsomPXm0Tt7thYUjPHFOz8OwEev/a6N2w2G5/QZPMqhnNBJi1HDRJsoiHnAzF6NTKXgN9/7FUnlWPI5NnQ/rZnE6+kEmOB8G+dp43yvdpz2/z5/nnegP4cfTp2j7zBGkVgRQ5A/qKGHH3qS8nK4Lc0MDxTj8L7iWBODwnMWpOIc1ogP8Yc3wS35tPXQeH3j93J6VjdRq9P4WWKXJaVoEZufE4TFDvN4FbAxqpFYKeO9K71ObWYjKnXDnaNPnfM3KHg6oOeOAz5siMgWYFT1KP78O4A/+SDHKknvJcH//tM/CMB/8d3/KlProbNMLXzhpOGLx0vekLeo1hWNfZ67a8cr2xUiMDFC68AKSNzIew+VAe/BijK3YA18ZKdmYsGK8CsHS+Y65wZXWfmWpazppM3r2a0nGMC2FYKnwhJMAwQTKUc+KsWmURXF0zDB+D1au8SoYcdfBeBIalYEAYhWF3mud647LGRJrTU1VZCxiNYJad6t9cd439ObNUnRuaJBxWWhrBSoBiXBGBBqF+dqh4ugi/NttQnJZVKpTPcn9L7NVOOxFH9CmqVLczJIFf16NwU60oXISEUflQ7l1MU0XJzSjJ/PdEuX/f8KCu4PP3/3/wHAP3rtX2Hle0SCl/c3Fh1fMZ/JM/DbfA9vmVtc9ze5auasWXEkb8TvXjg3rN1B3SFnPXWJ9EMTqM1+lYPJFNSmxFckBa6OHLg+ghnejaVhCUGxi/+Gy+FG8ImnNnMUF953/D3BjcRdnPZ5Ti57ZZ6iJJ4WgUm3BXX5IRke7wWtHuc9o5KGicyDoFgMqAUb9rpcmNtUnk7U5k0xnSqOmfh8+9odvp+PtOADipT8fue1309PT6NTnHoMwpHZD9d2gZu8zJHcodE5RizH/g3aPhTQUvEliFEadOySEAtj1kxPUYij5oWdRgGpcdfpnRPejA2F5k1xqfOQPcFPDeCm8ye0EE4rpAPagzo4o9fhc8EtvM1BET49P92WiunD82NMM/LrrWQyJKK+z0JWZ1TndRDDMibaz41mb40G0a7k1z1OtJP41SDaV28ky+NkvndLCgoeAp4FflzCeVcB/4mq/vSDHOiRJb0i8ueAfwS4parfds79Avw/gR8AFsDvU9ViBvge+Ef/1p/iJ777X0WA/TbMi1yfTLiiL1KLcLURwGJNmNt9ea60PnR5n516jnrJnd5jH/ouuxNhuwrd4daH5+1VNauu5VAX7MqcCTUHekxHT6cVs2gLsC1TOnXYFFwRzB+thClWTxDImZuKmVZ4lIUXvsl/mIW22f9vrjt0Zk2rIdiec5WFHHHDP8uxOaaTllonoeeiBi8mzuGGJNXEjoylxlINQV+8gKQkujazYGmUnpeshaSLQaplIrN8bCA+1+Ug1UefUhFD51Yb3dqU6CYF5yTikDyBc2U1rs/Hi5qVOl/QbDSUHz8eGCwKpMbGinPPINBVUHC/+C/u/BsA/MNX/2Xe5A6ihm25TmVewGDYpaHzN5hLw75f4Ew4h7ztaHuHMZMwh2cavB/EpoLgyyiIPO157ZcYMxsSZR1Zg+ijS3THCAFsl8XuBnszA1RZgTl1VZ2G4iGEc9RpF85kqcLcXu7ojGbzIQu9jO08NgLM9KrR+3Lsp5s8Oj0eG/cmwbLWQSE2BJ3R9mikYTDYk9jhcaMiXh+9fsN90SLp4Xy0BR9Q/NKdoC3zvVf/EGs61rLGUrPLTQBqrZnpLhOd8Bb7kR0RBNkqO8uzp8ZU+FH+GXQ0ophSvN/5sL+IVHjfY80Ur218TMd5M7Tp+QGnE9xhlvc8BfrwPJ/v30RgZvhTt/nRvG1ilQzdU5MT1tSJDXtOEpoKOiHG1Hgf5vZlNIc/Lo6l9ekoTomvQOuT+OXmnHMqticV+rG/bo5jTnWTk3jhIMy56Q+8eewaVywUn2qEcfVH3+lV1S8Bv+lhHOtRdnp/FPgh4M+/w/3/EPCx+O97gP9X/G/Be8Ar1EaZWaH1wvXG5oCskiBYZQWmFt5eC69sKVY8lSgzC60XJkZZu9CVvTpRplZpvWAEbi2VeWWpu4qlrLEIjVjUb9HFwM55RQUsgpUKI4JXpY0JsJXYVw45MCaWQYUgavXsdMqrS49FWarHG5+lzycyz92SHkcfOxhePJUGq6RE4+v9Oqgnm8EuJND0LF6DOFZKHlXDBTjQnS1CCFoH8/Yks7/O9h9JlfB0tfQ8X9Ek1b9xIUoVWojvf7PrY0Yd6LR2EUNFjUr4PJLatIjNSX2va6ayx+uHf/2Bv0cFBWNMtKFhgpOeWifxzPPMpWHLViz6NY1O2TXPs5Zt7vqvAdCzonepU5L8HIcISpAg+qKn1VPHdj565rnv6t370OA3AlOPA7VYE0Tn7KjbGhJd4h6ximJTA91ZjUM0COJ5v8kQcZEunQLefizoZWpQH8UAh/1h8AO1w9jGKa9SIXRdDAY9RW8cC+hldkvqGsUCWqZYx32nePIWPAx4FKTfKPIaNaxlTUXFRBsmZp7FlrpYSPZ0WQwpHYlRsjZWH05QDa8zra/RuQXOrxgYHJx67Hl7ygMwS1SBHmIn99w9TfsN9kvyJB93cWHovMLg4RtGQ0Ii7F0fRyY6jBkKYmNq9DjxPf0+Q1Gu33jdlEwnteYkgDXeE8ZJbRWTXafh72OlyY9P7DUVN3SQCZTn/eNP39vnWXBJoVw2pf9HlvSq6s+JyIff5SG/E/jzqqrA3xSRKyLyvKp+41Gt6WnB7/rkn3rH+/7ZF/8EV5vQaf3mXcez046ls2xZx9eXE6ZG+ef+7g/mx//Rj/5Jjnth5aBXofNgjVKbYFuE36K2hpe2Jnz6cIFB6NRz4jp26wlzW+FUsRJuX7k+JLiE2DW420qOgdPvb69bpqZiHa2A1izpWOYgLV0sV2YZpwYcNeFi5+hy4KYESqH3nsr0+YLpCNTk0xZAHo+J17Vxwpv8M1N3NyWaDhfuOzUf07klxtRsKrQOF5w072JNM/jvMszQjGd2RUIHpwWSuu044DX4oVs06lBPZKBYFhS8H/xX+//mubd/79U/xLbOqUTopOMVc5OvqKdlgTUNHs9y8bn8eCPRjzrO4iJxhhcy1TncoqhvN18sdXjlVJf4ESAEdUmGNBWlwjyhaodqlRPNdF4nf2IYurPpPM7zd5m6HLpXqdua5oVVfNif4nsXiYrvBDphohmmY6m6GEyGc9+kYDTvf8Pcf2KUqHoaM8eabTq/iPd1eV1JCTYh7VNyTlesoOBB8Iv7P3Tu7b/u+u9lojNUPAu/z9xeZyWHuC44ICie48Xn8+ObyfM5EXOxi2uZDAyIXIx2rLu70d93/D0+v9t7Zm95gFGKwBTp42jG4M/t/BJG1/f8eN8iZkrvTrBmBvQ43wdvcDPoCXh6DCHxDXPLBiuTc7uqab42MdCGY4yLXzbspjHxTZon3ndUVbA9nETdEafr/F5yMwGT3SMSXTolvJY6jJuNWCxpTZUt8UnBk4eLnOl9EaIqSsCr8bYzSa+I/H7g9wO88sorj2VxlxX/79d+8Nzbf/rv/ZepRLk22aQZ/ukv/rGN3/+Fj4TZcGskGosrBqF1SicdtYZgqVOPFZhUht6HpLdWYeUtvYYZ30oGu3gjICJ03tMYy9qHLfRYl6zN0GlRPJXWUTTLcCx3c6JYazPI5eNoNdB2kjdc8rVL9/cahV90SWO2w+avg6x/sk0ae8ilOV2DoYsXAKdd7tbmijM+z6uMKUNZ/EYDfbEysw2BiDHSRcxKhaMf6Im4HICeVsZTDWIzVupsF1Fwfyj7yb3jF/b/zLm3f+e138+x3MrnS0KiFyYYmcRClEek3uiqnqEPjsSr5D4D0PtFsN5Ia/c54RWpsWZCZaehQ0qd9xKnfaBf4jbsjIbRB0eyBwlvY9zJHs/n+5wkhy5YlRYVA81Zfmzvl6HDHMcvnNQQdQpywU5qqliY80QKIg4XO+tGA8U6eXWm102JeVpbmed9cJQ95d7wq7d/7B3v255/7AwTat2e7YFszT4axJ02WCMWHwUtk43agCHxPY+y+yBQFFE32qXGs8c+My7GPuWbz0+ztuGcxZ+1WdoQuIrU5eTbm7q7WY+EzRGrFOcMt4VCWf457ldAHuNw4UA59rAm2DHVZo6qS/16jDSBBUNFq0sqaXCsh6KZQG1mp/4GBU8rHoeQ1cPERSa9Z12+OT/SiSbEPwLwXd/1XY9n4Ospwyf+5vmdnNOoDVn1+ECXNNR06rm97pnqNLjxxrbtsvdMrQlfeVUqE3oQ6VIgItQShLHy8a3FqTKrTEike4fxhrVZMperQeGR2WCqjqfWhjULTuTumYsiRG+5KCYFsevBILQzpgyGTkeg83jtssJywsTOhoombqBnm2oQ3DD1QFlmEHfI62GgEYWE/bQ3n93oFEFSeu6ieM34fnLS4PE5yeh1dek2mycFZT95/0ize+8FkSoHfPdDg3qUAlYAYiY5QGbkWykYKjulqXZIQnlOO4x41A9ztCEQdSGZjAFs71ucX+cuLoA1k01hutzMHik8Myg+hyJbjx1dmse0xM4vRqMTLo9vGAIde7wlnC60jT2Ek1cvEEX0FvSnO+8F94yyp7x/jDu87wavfaD+jtgSkIgiZ+m94f5THV8Nha73v894Bl0rEzrNG+JYgAiGsA+GtQz+2SJBPT11esdzt973G/FOUlg3o8cECnIonPV6qgh/Wt05FrqSHom1cRbaNiPdEbtxjHF3ORT+OirTUNHg6AZtgyhClnRR0j5W8LRDzzRmnnRcZNL7KvDy6PeXgNcvaC0FEanz+4c//CepRhvux/cmvLWquLPu6b1y4JfsO0flDFNTsVVVtD7M9IoITpUa6LxirWBNmEW2IogGm5TaKNbM6bznhm7hVLntj1HxdHSRBuww0cbIjboUCYnWM/49dTDSbGwQuKqy3Ufq7k5kFqx/3OEGTTAcx+WuTKq0Zsn/UxeTcTALI6qTDp3fLDKBxdPl2DSIcpgoXsXoMR4rdThGtDkKYjYh4B0L2RQUPKlwUQXa2l1E+0ecyt47hnPY5MDT02PMBGsarGmoZIrBouIxujkPl4I9rx3Or7OauzEzvB9mGcNzRrTEc4Ly9PuYVih22EPS/alQJ1F1Pikvm1SgY1CkT2tNDJg0K5j2Kq89djSvt1zfeSyCJAUF7xfL1VeZTz+CSIVIj2qHkcACMzKLHd8eTsUJZ0T1xrc9CMTG53vQIFiiPsz5Cpt7TBL3M9JgsiBXWKMx1XBuRiQRq/HPonF2N8/dWpJgJgziUUYqxFjEL4KCc2SQjB83pkF37iSMqowUmbMIn3ZggmJ8Jc0QH8WCWxg1c3lsIlgWzbM2SsHTDeVxaW88PFxk0vuTwB8Ukb9AELA6KPO8Tw6+ctwxkZpWO469snQNExM6tgd+SY+nIuiVGgTnlYkV+hhUqVZ03tP6EJo1MWi0VtidGI47T+uUWoRpHUSn1s4D26zVsc9hsCmShoUc4tVlmqHEBHg801ab2SDEQFBRFGzYrGnoSFVQi2gIFM/D2h0ysVvxsTHZjR0ZaxqSBdFpCuP4grXuj/JFbOyzCWTf3vActzFbF2hCw3vqNXVybLigx1m8NGNzXte7oOCJhPY58HvUXdwHQeq2mlHXd6a7GAwrOQmz9FFILieTG/RBExVno2DMWLRLhmR5oDWO5/+HWbsU4AbRqxofbYSSHVLq0qTXduqxJongpEKhpyLtK33UEnB4PTuKkfQGKjMEtAUFTzp88vgGwOL8CSIVxmyFpFbbyCU8fY1M1+ukME/+/V4wpiur9qPfg4MugGi638f7o5Ky3cXaaWZ/dG6x0eVN87Pp/Z3/vrs4S2sGavOGmvIwtmCliRoCfrOopoPQnogNIntRLMvooHPifejqqjiQYSws2aNluvRIdwTIWgiVaSgoeNLwKC2Lfgz4PuCGiLwK/CCEK7Gq/jDwUwS7oi8QLIv+N49qLQX3j//s7X+d337lX8yb8JePWnaqit4ra2mxWmGx1GLxKNYIW5Vh3tYcjWZNO/V0ztN7G+jPIqwd0eIDticGK3DSjadjhIUcYcRiqXBJsIqeXtdRvCJ0Yju3oordmSzlj8tUYcVngaxQnaxiAHt+JTIrNSdasgxdFisVvV8ztv1IyCqoSXDDjK0JyAFrsihIHd08GxjXShSjSK8XAm2LqsFLFKuIFxVLfWYdBQVPIpxfBIuiJyThVe3ibNvgjylSYc0kF88MJqrFu1CMisJ2aEgSU9KYg8Xoiwmb83hZJyAmxTp6TFB4DWvyDHTnwVfX0fou0xITUlKcZvPSMW3cSyCMWaR9EgYf1LFCq41FOWMq5JJV7As+uFitv04zeT6KziXleKJyc6Rbxk6uboS5g0DeWEPgQTFOnock/LQo1vCaY1FLE/cbGI1CxXlbs5HUkx+TXid7awOVrfPPzq9Dossw5zumQ3vt8jx02j/SY5yGLvU4IR40TDYprL2ushNGZpbEmCbFJka2H+ATLbhc0EtXLH2U6s2/9z3uV+Cfe1SvX/D+8bN3/20AfvuVfxGATpWF72iYMJUJLgpdBdVmx8QItTFs+4bKCKpBrTk819G5cH1J9cKt2lBLuBw4Vdbes/AdawaKXgg6O1pdxoR3LMQSNuTWncSuyKZIy7jGm4LCsXhVov2F4NLnYLHXde7kpudArJDqpqBVns2LVc5xYDmeMQ4CEMNFJs3UVZI8QjcTaStVqKhqRyVBmEYJQXcdH2/E8PLV7+fr+z9z33/bgoLHDZ/8IuViizWCIPFcNNIMya6pgnpy7Ljs83rocESPzMo09H69QVcOx7OI+NxB2RSjCYFj79scrIbbx7uTZxCuHgW2MrYd2bQkOW1VknQAsvVZFMjJr4fdCJRTQg7R/zvev7f9bRwc//L7/YgLCh45ksiVtSG5Ct/tUYdUDJsU5iH5HBLV+1NtfqfHjm8//bPg4whFULZPXrfGpnPaRaGpNJ8bGCdO2w02SWKIiAl+2umxg91RR+9bRPpcIEt7UuoGp2NUdraRDIfPxOS4pTJxrTE+6UZev6kg7wld5NM2a2m0w9HxyrVP8LU7P33Pn2/BJYPen1bHk4DCjywoKCgoKCgoKCgoKCh4anGRM70FlwitD9WcE1ZsMaUWQ6cOi9Cpw3vF9rG7K3HywwZ/3tb76OUbJFdWLvw+rWpqA2tP9vqtxdJpz5ZusZRUXQyUZRMncVMnN1VGG7uThRhSRdP7PlCMUzcj+uZW6Xi63ujywjATJyN1xeRLlyiEqdObfPQSJApSqPrsqZcqsZ5AHwziOE0WwbFSZ5XWRLVuZJueNVOzh1dHq8f0us506F7XcUbQstZjnPbc3Pse3jr4xUf+HSgoeJi4qPne1H0hzufmLq/UmWFRmzmNbOO0o5NgLRJGFMK520brIk1dGb8eieiNuzMDq+Ssouwms3Lw0DR5XEPVb3Rd8v4jVaYyj/277YitAlH0L1qIqHo6XeK1o5JZ7lgnZorzoSu0M/84RyPv5YKCJxrqkSQO5dugzJ5HBRQ0ed4na7KIOHv/Xjhv9ndjtvceDlLZnawKr+rpdVCeHscRGlWljak3VOATSyQzycYOD3FvAjJDzcfRqLBGH8cwQhw1qbdGDJFhhjj7dY/YaFX07167ww2hvXl1BYBWlzm2Su+n84swC0zwB3/x6m/ntf2ffe8PuuASQi+dAGLp9Ba8J3727r/NxFhOXMfKLDmUE478io4eVaUWyyzSaTwhebVGsAK1CQmwIEyNpRZDY0xQcSZI/R93HitCYwxzMxwHoJeeKds0sr0x+xqCSMe0usLUXmXb3KSSIVDs/DLTLtKmLGKyAmoK9GCg/PS+pXOrTDVOnpu9W2bKznhO1/s+/NM+B81BmKKmttOgGm2aELQSZvKs1NTMmMgMS4WhZsZeoGNLjaFmavaY6S4N8w2hq+STt9bjrCg9pjQWFFwGhHnaKs/TPm4MQayDDXEpl8WsrNTMdZcp21iqfK6l2Tsdza+dGXmI5+bp2TsY9hqIiauZhp+jgms6TmUmNHaH2k6p7Tbb1XM0ZpvazKjNjC17nUoaDIZa5tQyj0MjYUeZmyuZNmmkppZ53h+DENc6JuTdxvoq05yhbxcUPMlICvFE723vl6hvUd8yVmcO4lKRipkSzZGd4rtCLIjdSIDv6WkI1u5S2TlGKiozz3P4lZkEPRKp8rU90ZLPU3c//bMnjFS07iQX3Uz08R3HSECOSVISW0cv8DSTa03DpNqNa948/63UzKvrMbkOxb5KplHdftPNwmnQNTjxt/NzKymCVk8rknrzw/j3uFA6vQX3hKm1fEXfoNLwlTmRJVs6Y01HozUdcNj3OBxzadiqwsbZujCnu2MnTGwQsmqsQAdbtUQRK48RWDnPsW/xaAzfDCtOsNQ0spNna9vorZtM1QF88taNAjAmBqOtLnO3lajaPNgSBWXmVCXNnd6R5ZDHUNnZRqJsZZI/F+fb0CmSmip6fxpTcfvwl858hi9f/X6+duen+aZrvzPfpnh66bBa8eU7/2W+/buu/gFaswQlis0M9akkZuXjhc1rz9Xtb2f/+NPv++9cUPA44P2SqroC7qwo3KOGorHzUW92WaLaemCRGGqd4MVjYkdYsJlN0vuWid16zyr3WGE9iGSFoNT5Nqg2YzAjL9/KzmLCu8vcXGep+zSyvbE3JHzs+u/m87f/Et9y/Z8I0UfyDI57XGUaXt//6wC8cu0Ted9LivJAZrsY0j4a9pSt2Uc5WX7xgT/jgoLHib6/y6R+FhdnTweBKRMZJYFpIQjcR7Et7A9xFng0/3vPas8yKDLXcY7W+x5j6jzbuylsN07Sh4RgrCx/GkZqXBTYTIyz8b7jfU9tZqHwbkLCm/aF83B99zuDCr2xqAZbIgjJ8NuHnwRCLFPLPL9+WK/LM76n99Vnr/xW3rz78/f0mRUUPEqUpLfgnmEw9NIz93P66A9n8KzpWKqyMCdc91eZm4qVC5v32js8Gn15Q9JrY7H0pFOOgZV3WBEWvuNQjumkDa9FTy8hme1GitCJspeguCB05RfZLzN42pIVV0UsnQvetqcvLmcuNuNujKlDcBu7xz4qqY6Fp1L35M7Rp97180uCU1+68xP5ouHogr3Jqerq397/Yb7j2j+Dk45eV6GCjQdd54tMJQ2tHpPsUgoKLhNE6hiEymOt9AKRyjeop8IoGZSw1x2YtzdGC5KCabItG49FjBGS5rFP76AGnRLP7ItJoDKmY4VuzJzazPninR9/1/fw+dt/CYBfu/0Xefnq95OsSjoWuQuU8LU7P80r1z4RBP+02+gqo2HNtZlFX/Ea0dLtLbiEkApRiF9qUBfSU5G812Sov0fl5nt93FlkOnS0OVv0d3ISO6YEj5NbiCNcozgnXeMzLVkMtZlllwpvJjjth3GuOFKRHgvkhPW9cPvwl9iafZQqKb37ZRbJSvj6/s/w8tXvB9gYr0hNhSQjmtgm9oJYPQWPGnpG2ftJR6E3F9wTjrqOWic0OsUgzGioo50OwFrWrFlSi0EEVs6xdH2cehNWznPShVler2BFaL1yEqnNqiAiNBr8ItcsOWEfg8UzWHIEip7Nc729X9P7NV2kOBkGpdRALW6GOTff0rklbX9C55b0vo0XB58vEIrPm3sKVJ1fY01DY3eYVFuBjhSpzE29x/Hi8/etePr1/Z/J0v49a7505yfOPOZTd/4/UQWxD3QimrymZMGUKN+CZW/72x7sj1tQcAEQDGKmj1TNOdERJf4vwZgGYyZUdhb2CTvL/tu9X7Dyh/S6pmdNq6F7lCjCtZkxS3S/SCuEQT8gvzexOaFNtmqJzthUO8zqa0zrK0zsFtNqj1l9jbm9zpt3f/6+FU9TQU3E5kT9dGfla3d+Ou8dVmqqqDGQ6JYQkvEUoG7PP3ZfaygouEiE83kHY7fOpy2LBUykNt9j6Ks6JLyyuYfc2/OjFojvcX6d/0Eab2jC7Kyd5eJYKqoF1seUKnr7pnPTSsXEbkW6dNi/arvNtLpCbbfy42o7o7YzpvXefbPATpZfRNVvUKcPTz6z8Ziv7/8Mjo6lu5v1BNLIRbBu7DJzRNVzc+977u+zK7gUuGz05pL0FtwTptayxzYzbVhLS0fPQtcYhJqKhRzhpOdVeZMj12EkSMWstadOHnEonVc6D3Y0UlNLmPFtxDIj+GS2sqQnXhywQQCKmk4XG+tK4lKKz/MyKYgb2w4FunOgRfsRnTldhLyG+dyNBFh97pg4v870R2PChacyzUage7/44p0f50t3foKa2Ts+JolBrPUYxdNE77vWH+dOTgpcDaYkvgWXBpN6F2tmyCOc+TpNQwx2RRVGJhipop2Hy96UPgaova7DeZUSRGmoaJjINrXM8xwcDHNsw9jE2cr3uEuSfXIxQxJtr9KY7fc1//a1Oz/N1+78NLWZvyN9sdc1nTuJmgdhbzFS08duDhAC6Zj47sw//sDrKSh4nJhUO9TVnNqO/GEldHcljS1IDRhILIjR/HoqjG1Sc0eUZvUPJLx3erZ/PO9vRvtL2k8SbNQHsebsfWN2SRi5cKMZ/ion0akg/iA4PPkMB8e/jDXNOybN49EwSIyRQHvu/IJeB4s3IzXPXvmtD7SWgicXly3pLZyDgnuCQbhWNyz7ii+zzxZbiBqOZUGjEwwWqzUn7NPpdVza4PFMooCVkVA0rQyAsHbhAmKN4L1iVBCJpGl1tP44qwAm37fgldttmKyrelCobEj++n5J7xbUdkbrTrIq6sRujbw0bRahEoKCa1JFVnUkb93w3kPCTC74BqqR9/1DmaN9NxpjojC+ePW3R5+9sLbgD7yO4lrh4uY5ed9rKSh4XDBSY+0U3x8jUqEjOi48uLpzpjGOPTglzPcRPTMzpVCGQLR1USfAhiJUrQ09a9ZRQX3LXA/rJnSKpmaXXhrW7jAXyCCMRDR2J7NTxtTApDgPg4eupWYicyw1v3r7x+77/Z7Gu3WJk8r7tZ3voPNhNOQ0lbk2c5yuEW+oTMP2/GMcLz7/vtdVUPAoUdspMKVzqziOoKj2sRC+Ger6TFf25wrqBdq/u+8Z3nMOlOOPBMXT9kehsGRD0TqIzRmcBtZLmtE1SlZz35z3Hdhv6ZihkDYU03yc9b1XWvM74d2en9gkz1/5bXGUrBv2uOjhKlFs00VV5xu7v/l9r6mg4EFRkt6Ce8J/+vafBOD3PPOD7LZ7OOmZULFkjUdpdIpg+PT+2QTuf/XMD+bt2QOrPsittC7M+nbe03pPp56FrmloaGSOGk/PephbGVU3k8ryxG4BIWjtdc2qO6DtD1HtWHUHGFNRmxnT6gpqPKIGicqFLTC1e7HjESX7pcLF4/nIZHLaY4lzwtHSRMRw+/isWNWjwmv7P8uHrv0AnS42OkUQ1KknMqPlMAfeBQVPOg5PPsNs+iGCivI531uRqMB6+uZ3pkNnJXOJNEZdk8RsAq0xBZUrVCZZ9KVzC1R7Zs3NHKQ66bP1j/Nr1nKcO751VC9tdZH3pl7XTM0uIjaoIsdZp94bxNhz12lil6fWwGR5XLhz9Cmu7XxHnCMcioeKo/MLrDQYc/azLyh4UpHEI7fnH9uwKkI1fs9r+v72medZu82Y9Kjace5+9ACQOAaVhKgg2ilGZojza4ytqaUm7E2ruKaKzi+zyrKLgnNAbgLkzjEDM83KoL5upeLNw8cjHvWNuz/HC1e/L8ZR6zxS5rUPMQt21PEtacfTAo2yiZcJ5dtXcF/4C7f+BN935Q9T65RGQtJ7w27hmbPw/bnP+U9u/Qn+18/+ICvnUQUngkdRhS1r8Bh6r3Rprkyr6Ge7Zu2Pgx8lBhUbq4chSBM1OVhL8NpjzRSReVBI1f6+uxR7298Wkt8kDBEp03WkHiba0OPGV+/8FDf3voeKJr9+ol8rntpuseoPHvu6CgoeFMvVV2PQeU5n9x3EY4Ll0fnnn5gJRppRFyQqpKZANtHxXI+tp3kvqew0z94Gv96aic5Yc0QtMybVLHd8v7r/U/f1Hl+4+n30cTlWBiXoRrajV3eN1ZpGp/d13PeLO0ef4ur2t9P7ltpOsabB+TWdP4lrrYLuwTmFh4KCJxXHi89jRg4LiqJ+ibXnjyI5dxyU5LGEApwNW4/4KIr14J1eY2aRxRJYJUnxPRWsVf19qxqn2VgRkxsC6feEsZjU48Lr+3+dm3vfk+MxKzVee/o4ZhaKgT19VNgueDrwuEUo3y9K0ltw3/jrd/9dAP4XN/41rpnrrL3nL7/9p971Of/xm3+C33H1j1BFIQgPWISVM3Q+nDRTqfCqdPRUVFjqLLwCgSrT+0WQ/MdgTEPvg9KzNQ2r7m4IXG3oOrf+mNX66w/8PpP0vsnVWjsorl7QOLyqR8ygCkucQXY4nK6LSmLBpYPLqupDIqv67lZG75T4pvPDyCR3V7z2dP1xOKZE+xHAJ8qxNVnISrC5+7qUQ1CoJdAmW13y2v7P3vf7C8l08MecyAxDSKorDbZjVqvMlHncGKu8jv3Jw8IDs6W9ZEFNQYHX9r72k76/S1VdP/e++014A6vERnX64VptpKZ1J7GoFjq5Bw84NpCPG/erdN3vffDfbsz2hXTgkqWbiBnGsCLFfDweVlBwUSgRckFBQUFBQUFBQUFBQcG9QfVc4cYnGSXpLXhg/Gdv/+v39fi/uv9v8Tuu/hFUlR5PhaF1Fh9LgEaEGRVzaiofBJoWso/BUMk0KAFiMYY8hwuhW+Fcz6q7w7S+RmUaWnfCun3tgd5Xsh+6vvudcV1BqfndDN0fFxQXZow3fIr9hljObPohlquvXtAKCwoeDO/VjTnv8We7vYP3pUQGyMxew1V7LLt9AHp3hJEG55dYO6WOth/jWTMRy4l/m13zPLU2rOT4gbq8EObdAD507Qcw1NQyZaIzPn3nzz3Q8R4mNiiRvo8WI37jvkm1U/aUgkuH+91P+v421u4G/95wgAcT0jNTTFRbNmZgnAA431JXM9wDjF0lJDE6gBu7vxkIYnjJtuwiYaTG6eCaEawVh46ziMVQc23nO7hz9KkLWGHBw4aWmd6CgneGU49B4vi7sPaOKnr7WgSn4NCgtqwNc3MVR5fn6ZIdUTBN93TuBOdWOL/EmIajxece2lqTMMaTgo9e+11UZh6smGKsmjzwfJynNhjqKO5VUPDBw+DBKRIU22szo7G7WNOw7g+xZhLU3au9IFilPROzG+dZg5XPSu6yVd94KGrKCV+9c3+zwI8aV7e/PVMRx+rT48q9sRMqeWdLtYKCpwrax0T3weyJkuVRbbczrVfV0/aHEMelHobjQ8KTpIL8zN73ntpPhqKDqgcJyXlltukvQBOloACKT2/BY0Ytwb6ox7NkTasui1o5DTWjlbasJKgY1hq8Mqeyy9xcz3NnRuooOlPh3BHeL+m6ty7wnT16dCzz/HLyGPbRwin59EIQoNmef+yCV1tQcAGI7I9gkxGU20WCF+bMXhn5Xk6ZVMFWqHdLFu1bKI4qdmZU/RPB7HjUSH7mSb0+7SkQ5vOCrVtXtAIKPhBQ7YPq8zuI6N3rMXoXXBacW9G7I5xvcf7kfWmMPOnw2of9IxbgVX22lwz7SlC4VxwGk5l0BZcZeul8ekvSW/BYUUuwD6kwqHh6glXRWh2deqKNOx7FSeg4VNG7Lsngp80UAvXY+cV9U5kuIyxVDOCHAHRsVzD+n5Gaq9vfflFLLSi4EIiZAD52WYLISyPbTGWXLXMjdH7tlLraojJB4VUk+NFOzDYTs01jdzg8+czFvpHHgKT6nuxPEmskJL8t3vd0fknbn9D7NTvzj1/0kgsKHi1ENv97nwhWSSGAd26FSIWRhr6/Td/ffUiLfDIxtpRUXC6aJQQl+MCm6XWNkZrnr/y2i1hqwUOCQkl6CwreDf/FnX+DNtLnpjqlil9BP6IShWk8oY7J7oQZldYcuNfxvqf3bT5RHiad+UnHl+/8l1Hyf71xe/brU4/3g3qiMVVJfAueapwudlV2B2MmWDNhVl8LHrgyp9Iaq9VGYrvuj7BmQlPt5Md+4+7PcevgFy7o3TxeHJ58ZmPmLvlo6qj06KJlkdeeyjTsbn3rRS65oOCRwvt1sDh6H0G4opktsW5fo+3efFjLe6IxntH1vj/3M+zckt4tw4gWUJv541pewSOCbrSqHvzf40LhLBUajnNwAAAQkUlEQVQ8dogIKFQYJHr2JhiEmgrREIzt+D1aWbMyPlsIpY5n/wH0j+z9Iv+s6unckso0UYDGobHLm+xXrLEXuNqCgscHIzWVnebRh0oaJjLHEM4BS82OeYZWF6z0gFl9jdrMmJhtFE83Orc+KKhME+eYk23RQE0cC1pVZhpmFc3j9RIuKLhMMFJHtskH05rHmCp3d1OMZmOaoRqSm9ad0FQ7CIZeVxe53IIPIB7pWSkinxCRz4nIF0Tkj5xz//eJyIGIfCr++2OPcj0FTwb+6v6/BYTkt8Zk7965qdiyFVu2ZiYVNRUTKloJyW1t5tioinj78Jc+EBTE0+gj7dD7ns4tY7AeKqeJkuj8ekMxsqDgaYZqh2qHsVtY0zCt9phWV7giL3DNP8eev86ULRqdsuevM5E5lprd6gV27HNYar5256ezyvIHCfvHn87dXjdi0ISEN/xLdOfHSUErKLgopP3kQWDtTqYzr9tvPOSVPfm4ffhLOdlPIxO9X9P7Nc6vN4SurNQIpSh/uXH5ZnofWVQsgSv1Z4HvB14FPikiP6mqpzOVv6Gq/8ijWkfBkwkJfVuMCMStb2oNVoTW+6wj0athS7doZQmESur+8S++43Gfdhwc/zLXdr4DF2cWUaKYVT8ISOBZdQdMYhJQUPBBwKTaZV5dY2p2qWTKc+55agmWaK0PQaxgWOsWR9zCSo3Tji/d+YkLXvnF4mjxObZmHw3zvTEgTXPRKUjFe3q/ZmJKIa2g4J2g+KdeUPO9cOfoU1zf/c7MxFN8FMQL8Yk1Ezq/xPeeSXGauPS4bMXQR9np/W7gC6r6JVVtgb8A/M5H+HoFlwh/7e6/g0WoxTC3lquTGg8snGPtg7CVFUMtFlHDVLeoaHjz7s9f9NIvHGl2JtGZz9t0VEMHuPPLx7y6goKLwcnyi+zZF7muL/G8ewUrBqcejRU0i6XCMNMZjWzjtOOLd378glf95CBZn+mI4pxv157OLT6QIyUFH0ykbq9wb6JWRuoPfMKbkOwex/GJiMld4CSe17qTC1tjwQcTjzLpfREY67O/Gm87je8Vkb8jIv+1iPyG8w4kIr9fRP62iPztt94qm8rTgv9q/9/Eo0xM+Bq2ztN7pfWOlbbc9sd06uikw2A+8B2ZMQ6Of/lMwhsuKEGN1ZgKweD9069qfb8o+8nTix1/lW3dYlsaWu2yTEaPZx19I61WTGRe9pMRTpZfxPsWr+1mhxe38biuL0HqeSh7ytMJ1e6e/Xqrau8Rr+Zy4eD4lzfjk6wSH3flqBZfcJkRPK0fzr/Hg0eZ9J5XHju9e/wS8CFV/U3AnwH+8nkHUtUfUdXvUtXvunnz5sNdZcGFovOehXO0Xll7R68eD/TxJFjJCif9ux/kA4p5fSPP7Q5zEaGaGhLfmso07G1/28Uu9AlD2U+eXhgMFkstFovF4bIavEHo8WU/eQdM6l2APOM7nmuUuK947Wkm59WuP9goe8oHG6FA9METrnovjMW8UpE+jWKFsayO2fRDF7jCgvcFLZZFY7wKvDz6/SXg9fEDVPVQVY/jzz8F1CJy4xGuqaCgoKCgoKCgoKCgoOADhEeZ9H4S+JiIfEREJsDvAX5y/AAReU4kuICLyHfH9dx+hGsqeMLQqqP1ns57FKVVxzrOlBkMa1nj4/8KNnHr4Bc4WnwOaybZlxeCsJUxNSae3qZUoAs+YKiMsG0mbEnDRCxTmWCxGCQ50F70Ep84HC8+T9e9hbVTjFQYaQALOLyu3+vpBQUfcJQY5TSOF58P4nhRzAoGjYCCyw/l8vn0PrJoWIMaxh8E/grwWeAvquqviMgfEJE/EB/2u4FfFpG/A/z7wO/RpDpS8IHAz9z9vwPQe0WisFVF+AdwLHc55K2S9L4LpvUVrJlgpMp0ot4FASsRgysXmIIPCH5x/4cAcBq0AhpjqcRQY2ikwoqhk5a+JHHviDDPGwpoYT+xG/eV4L7gg4R7sS8Sacp86jugNrMztyUbtPRzwWVFsSzaQKQs/9Sp23549PMPAT/0KNdQ8OTDqceIpTYGp0qPImrw9BgsPWve8l+46GU+sXjrIFg47cw/DiZcRIxUOO2ZmC0OTz51sQssKHjMMAi1EfAhAVaUTh1rOtayZKUHF73EJxarddCfrOubeZZXMblT80H0Hy0oeHeU7uU7Yf/40wBMm5ejMnwQ3FSFrl+wbl+70PUVvF9cLtZU4T0WXDhqsUiUPRtbjKh4ag0+s2NBhILzcbT4HBO7RWVnUcRqkoWuCgo+KJhKlfeTRJ4CsnozgKW+iKVdKnTdW4hUke48wZgKayYXvayCgicG2c4oq50XvBNW668jmY0WnSbKZ1bwmFG+cQVPBFRDRybB4ehxCIaKBhlR7AreGfvHn6a205D8mhkiluu733nRyyooeGyoowVa2k+sCEvt6aRjLWtqGqam2IvcC9bta1gz2RifmDYvv/cTCwo+IAhMCC003XtASHwDe8SaKZWdFvXmS41Cby4ouG/8xJ0/lX/+xNU/iojgY8Da6JRetlG5XBSKi4SRGhnVs5JRfEHBBwF/+fawn/xj1/+1/HOwLbLUfovOlJnee0VtZnQs8++J/lxQ8EFBmusVCQwRQUb+vaFredlonheFykzx2mNNYPEdrz5/wSsqeH+4XMWekvQWPFH46f0/DcBvu/J/pdGGTjoEg8fz667/Xn719o9d8AqffKQZ34KCDzr+89v/OgDff+VfYqpTIKhNznSL33z1/8gn9/+Di1zepUCaySso+KAjJb9GJpmmGyjOFnuOYFPBWRwtPnfRSyj4AKMkvQVPJH7u7r+Xf/7Y9d9NpU1JeAsKCh4ISSU+4Tde+3383Ts/ejGLKSgouNTw2m78bs2cMi1Y8MGDwiWj9Zekt+CJx+dv/6WLXkJBQcFThJLwFhQUPCw4v7joJRQUXAgGmv/lQClNFRQUFBQUFBQUFBQUFDy1KJ3egoKCgoKCgoKCgoKCgvvA5aI3l05vQUFBQUFBQUFBQUFBwb1D9eH8ew+IyCdE5HMi8gUR+SMPutzS6S0oKCgoKCgoKCgoKCi4R+hjmekVEQv8WeD7gVeBT4rIT6rqZ+73WKXTW1BQUFBQUFBQUFBQUPCk4buBL6jql1S1Bf4C8Dsf5ECi99BWfpIgIm8BX73oddwDbgBvX/Qi7hOXcc1wOddd1vzo8CFVvXkvDyz7ySPFZVwzXM51lzU/OtzzfgKXZk+5LJ/9aVzGdZc1Pz5chnXf137yJENEfprwmT8MTIHV6PcfUdUfia/zu4FPqOo/E3//J4HvUdU/eL8vcunozZflyyIif1tVv+ui13E/uIxrhsu57rLmJwNlP3l0uIxrhsu57rLmJweXYU+5rJ/9ZVx3WfPjw2Vd92WFqn7iMb2UnPfyD3KgQm8uKCgoKCgoKCgoKCgoeNLwKvDy6PeXgNcf5EAl6S0oKCgoKCgoKCgoKCh40vBJ4GMi8hERmQC/B/jJBznQpaM3XyL8yEUv4AFwGdcMl3PdZc0F94PL+NlfxjXD5Vx3WXPB/eCyfvaXcd1lzY8Pl3XdBe8CVe1F5A8CfwWwwJ9T1V95kGNdOiGrgoKCgoKCgoKCgoKCgoJ7RaE3FxQUFBQUFBQUFBQUFDy1KElvQUFBQUFBQUFBQUFBwVOLkvQ+QojIvyMivyoinxaRHxeRKxe9pveCiPzjIvIrIuJF5ImWfheRT4jI50TkCyLyRy56PfcCEflzInJLRH75otdyrxCRl0Xkr4nIZ+N34/900Wv6IKLsJ48WZT95PCj7yZOBsp88WpT95PGg7CcF94OS9D5a/Azwbar67cCvAX/0gtdzL/hl4B8Dfu6iF/JuEBEL/FngHwK+Ffi9IvKtF7uqe8KPAo/L2+xhoQf+sKr+euDvBf65S/JZP20o+8kjQtlPHivKfvJkoOwnjwhlP3msKPtJwT2jJL2PEKr6V1W1j7/+TYK31BMNVf2sqn7uotdxD/hu4Auq+iVVbYG/APzOC17Te0JVfw64c9HruB+o6jdU9Zfiz0fAZ4EXL3ZVHzyU/eSRouwnjwllP3kyUPaTR4qynzwmlP2k4H5Qkt7Hh/8t8F9f9CKeIrwIfH30+6uUje6RQ0Q+DPw9wC9e8FI+6Cj7ycNF2U8uAGU/eWJQ9pOHi7KfXADKflLwXig+ve8TIvLfAM+dc9e/oqo/ER/zrxAoGP/x41zbO+Fe1nwJIOfcVvy3HiFEZBv4z4D/s6oeXvR6nkaU/eTCUPaTx4yynzx6lP3kwlD2k8eMsp8U3AtK0vs+oar/4LvdLyL/NPCPAL9dnxBT5Pda8yXBq8DLo99fAl6/oLU89RCRmnBB+Y9V9T+/6PU8rSj7yYWh7CePEWU/eTwo+8mFoewnjxFlPym4VxR68yOEiHwC+JeA/7mqLi56PU8ZPgl8TEQ+IiIT4PcAP3nBa3oqISIC/EfAZ1X137vo9XxQUfaTR4qynzwmlP3kyUDZTx4pyn7ymFD2k4L7QUl6Hy1+CNgBfkZEPiUiP3zRC3oviMjvEpFXge8F/isR+SsXvabzEAU4/iDwVwjCBX9RVX/lYlf13hCRHwN+Afi4iLwqIv+7i17TPeC3AP8k8A/E7/GnROQHLnpRH0CU/eQRoewnjxVlP3kyUPaTR4SynzxWlP2k4J4hTwijpaCgoKCgoKCgoKCgoKDgoaN0egsKCgoKCgoKCgoKCgqeWpSkt6CgoKCgoKCgoKCgoOCpRUl6CwoKCgoKCgoKCgoKCp5alKS3oKCgoKCgoKCgoKCg4KlFSXoLCgqeCIjInxORWyLyy/f4+H9CRD4jIr8iIv/Jo15fQUHB5UHZTwoKCh4myp5y+VHUmwsKCp4IiMhvA46BP6+q3/Yej/0Y8BeBf0BV90XkGVW99TjWWVBQ8OSj7CcFBQUPE2VPufwond6CgoInAqr6c8Cd8W0i8lER+WkR+R9E5G+IyK+Ld/2zwJ9V1f343HIxKSgoyCj7SUFBwcNE2VMuP0rSW3ApISK/WUQ+LSJTEdmK9JF3rbwVXEr8CPCHVPV/AvwLwH8Qb/8W4FtE5L8Tkb8pIp+4sBUWXHqU/eQDg7KfFDxylP3kA4Wyp1wiVBe9gIKCB4GqflJEfhL4U8AM+P+p6j3NWRRcDojINvD3Af+piKSbm/jfCvgY8H3AS8DfEJFvU9W7j3mZBU8Byn7y9KPsJwWPC2U/+WCg7CmXDyXpLbjM+JPAJ4EV8M9f8FoKHj4McFdVv+Oc+14F/qaqdsCXReRzhAvMJx/j+gqeLpT95OlG2U8KHifKfvL0o+wplwyF3lxwmXEN2AZ2gOkFr6XgIUNVDwkXi38cQAJ+U7z7LwN/f7z9BoFK9KWLWGfBU4OynzzFKPtJwWNG2U+ecpQ95fKhJL0F///27tCmgiiKoug5oRjKgWBJML8GBIICaAFPqAEDDjQCKsD+Gh6GDiAZ5mYt/cRVJ9nJJLNn90lukzwkudv4Fn6p7WOStySnbb/aHpJcJjm0fU/ykeTs5/lTkmPbzyQvSa7XWsct7mYMezKIPWFj9mQYm7J/flnELrW9SnK+1rpoe5LkNcnNWut549OAnbEnwF+xJ/A/iV4AAADG8nkzAAAAY4leAAAAxhK9AAAAjCV6AQAAGEv0AgAAMJboBQAAYCzRCwAAwFjflsTEY9rRHM0AAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 1080x432 with 7 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "hdw = arr.vs * arr.vpd\n",
    "\n",
    "hdw.plot(col=\"time\", col_wrap=3, cmap=\"magma\", figsize=(15, 6))"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.6"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": true,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {},
   "toc_section_display": true,
   "toc_window_display": false
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}