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    "# Regridding climate data with xESMF\n",
    "\n",
    "A common element of climate data workflows is regridding, or reprojection, of model data unto more standard grids, or simply unto another dataset's grid. The powerful [ESMF](http://earthsystemmodeling.org/docs/release/ESMF_8_0_1/ESMF_usrdoc/) program, written in FORTRAN, has long been a reference in the matter. The [xESMF](https://pangeo-xesmf.readthedocs.io/en/latest/) python package provides an easy to use high-level API for using ESMF's methods. This notebook shows some examples of common regridding operations.\n",
    "\n",
    "Regridding with `xESMF` is usually a two step process: \n",
    "\n",
    " 1. Create a `Regridder` objects from two datasets, defining the input and the output grids. This compute a weights mask which can, if needed, be saved to a netCDCF file.\n",
    " 2. Regrid a DataArray or Dataset by calling the `Regridder` with it. As the weights have already been computed, it reuses them for all time slices, which allows much better performance than, for example, interpolation using `scipy.interpolation.interpn`."
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    "# NBVAL_IGNORE_OUTPUT\n",
    "import geopandas as gpd  # isort: skip\n",
    "from owslib.wfs import WebFeatureService  # isort: skip\n",
    "\n",
    "import warnings\n",
    "\n",
    "# ipykernel_launcher.py:1: DeprecationWarning: xclim.subset is deprecated in xclim v0.19.1-beta. Please take note that xclim presently exposes the 'clisops' library subsetting API via `from clisops.core import subset`.\n",
    "warnings.filterwarnings(\"ignore\", category=DeprecationWarning)\n",
    "\n",
    "# Other utilities for style and clean examples\n",
    "import copy\n",
    "import json\n",
    "\n",
    "import cf_xarray as cfxr\n",
    "import matplotlib.pyplot as plt\n",
    "import shapely\n",
    "import xarray as xr\n",
    "import xesmf as xe\n",
    "from clisops.core.subset import subset_bbox  # For subsetting\n",
    "from xclim.testing import open_dataset  # For opening xclim's test data\n",
    "\n",
    "#  A colormap with grey where the data is missing\n",
    "cmap = copy.copy(plt.cm.get_cmap(\"viridis\"))\n",
    "cmap.set_bad(\"lightgray\")"
   ]
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   "id": "2",
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    "## Simple example : Bilinear regridding from model to obs\n",
    "\n",
    "Our input in this example is a year of monthly sea ice concentration data from a CanESM5 run for CMIP6. It lies on an irregular grid defined by `latitude` and `longitude` coordinates. We'll interpolate the sea ice concentration to a regular observational grid from Natural Resources Canada. \n",
    "\n",
    "### The input data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "3",
   "metadata": {},
   "outputs": [
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       "Dimensions:             (time: 12, bnds: 2, j: 291, i: 360, vertices: 4)\n",
       "Coordinates:\n",
       "  * time                (time) object 2020-01-16 12:00:00 ... 2020-12-16 12:0...\n",
       "  * j                   (j) int32 0 1 2 3 4 5 6 ... 284 285 286 287 288 289 290\n",
       "  * i                   (i) int32 0 1 2 3 4 5 6 ... 353 354 355 356 357 358 359\n",
       "    type                |S64 b&#x27;sea_ice&#x27;\n",
       "    latitude            (j, i) float64 ...\n",
       "    longitude           (j, i) float64 ...\n",
       "Dimensions without coordinates: bnds, vertices\n",
       "Data variables:\n",
       "    time_bnds           (time, bnds) object 2020-01-01 00:00:00 ... 2021-01-0...\n",
       "    vertices_latitude   (j, i, vertices) float64 ...\n",
       "    vertices_longitude  (j, i, vertices) float64 ...\n",
       "    siconc              (time, j, i) float32 ...\n",
       "    areacello           (j, i) float32 ...\n",
       "Attributes: (12/56)\n",
       "    CCCma_model_hash:                fc4bb7db954c862d023b546e19aec6c588bc0552\n",
       "    CCCma_parent_runid:              p2-his13\n",
       "    CCCma_pycmor_hash:               26c970628162d607fffd14254956ebc6dd3b6f49\n",
       "    CCCma_runid:                     p2-s4513\n",
       "    Conventions:                     CF-1.7 CMIP-6.2\n",
       "    YMDH_branch_time_in_child:       2015:01:01:00\n",
       "    ...                              ...\n",
       "    license:                         CMIP6 model data produced by The Governm...\n",
       "    cmor_version:                    3.5.0\n",
       "    tracking_id:                     hdl:21.14100/9e4f804b-c161-44fa-acd1-c2e...\n",
       "    DODS.strlen:                     64\n",
       "    DODS.dimName:                    maxStrlen64\n",
       "    DODS_EXTRA.Unlimited_Dimension:  time</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-79837abc-a698-4c24-9207-d708a2c8ab90' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-79837abc-a698-4c24-9207-d708a2c8ab90' 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>: 12</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>j</span>: 291</li><li><span class='xr-has-index'>i</span>: 360</li><li><span>vertices</span>: 4</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-9b3d02a8-fc59-4db7-b571-5e8fd495cfb5' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9b3d02a8-fc59-4db7-b571-5e8fd495cfb5' class='xr-section-summary' >Coordinates: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>2020-01-16 12:00:00 ... 2020-12-...</div><input id='attrs-24fd12f5-01ea-403b-8312-fb75779c7c59' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-24fd12f5-01ea-403b-8312-fb75779c7c59' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7a03f1f5-1a22-4c41-9212-64b72de97b26' class='xr-var-data-in' type='checkbox'><label for='data-7a03f1f5-1a22-4c41-9212-64b72de97b26' 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>bounds :</span></dt><dd>time_bnds</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>_ChunkSizes :</span></dt><dd>512</dd></dl></div><div class='xr-var-data'><pre>array([cftime.DatetimeNoLeap(2020, 1, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(2020, 2, 15, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(2020, 3, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(2020, 4, 16, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(2020, 5, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(2020, 6, 16, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(2020, 7, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(2020, 8, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(2020, 9, 16, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(2020, 10, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(2020, 11, 16, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(2020, 12, 16, 12, 0, 0, 0, has_year_zero=True)],\n",
       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>j</span></div><div class='xr-var-dims'>(j)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 ... 286 287 288 289 290</div><input id='attrs-d098d500-74d5-454b-9252-164cb10983e1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d098d500-74d5-454b-9252-164cb10983e1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f74883fd-c162-4393-9076-f1bcbdf88f8d' class='xr-var-data-in' type='checkbox'><label for='data-f74883fd-c162-4393-9076-f1bcbdf88f8d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>cell index along second dimension</dd></dl></div><div class='xr-var-data'><pre>array([  0,   1,   2, ..., 288, 289, 290], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>i</span></div><div class='xr-var-dims'>(i)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 ... 355 356 357 358 359</div><input id='attrs-cf20bed9-4ebc-46c3-917d-9a58da3f602a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cf20bed9-4ebc-46c3-917d-9a58da3f602a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-09934773-63eb-4186-bb65-4ac46de6c3e7' class='xr-var-data-in' type='checkbox'><label for='data-09934773-63eb-4186-bb65-4ac46de6c3e7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>cell index along first dimension</dd></dl></div><div class='xr-var-data'><pre>array([  0,   1,   2, ..., 357, 358, 359], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>type</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>|S64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d57fd75e-d935-4d47-893e-dffa030aec95' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d57fd75e-d935-4d47-893e-dffa030aec95' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c3c436cf-8fdf-4416-9db5-2f0ebdf97b36' class='xr-var-data-in' type='checkbox'><label for='data-c3c436cf-8fdf-4416-9db5-2f0ebdf97b36' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Sea Ice area type</dd><dt><span>standard_name :</span></dt><dd>area_type</dd></dl></div><div class='xr-var-data'><pre>array(b&#x27;sea_ice&#x27;, dtype=&#x27;|S64&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude</span></div><div class='xr-var-dims'>(j, i)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-def4b3bd-64a1-4d3b-91ba-748d536bda64' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-def4b3bd-64a1-4d3b-91ba-748d536bda64' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d8c26fb2-cc88-42b2-83b2-8adc3ba44205' class='xr-var-data-in' type='checkbox'><label for='data-d8c26fb2-cc88-42b2-83b2-8adc3ba44205' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>bounds :</span></dt><dd>vertices_latitude</dd><dt><span>_ChunkSizes :</span></dt><dd>[291 360]</dd></dl></div><div class='xr-var-data'><pre>[104760 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>(j, i)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f35c37d6-4b41-4ac3-a12c-95356e993563' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f35c37d6-4b41-4ac3-a12c-95356e993563' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dc4ffb14-a86a-4ef2-8b69-73f4cf3c46a4' class='xr-var-data-in' type='checkbox'><label for='data-dc4ffb14-a86a-4ef2-8b69-73f4cf3c46a4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>bounds :</span></dt><dd>vertices_longitude</dd><dt><span>_ChunkSizes :</span></dt><dd>[291 360]</dd></dl></div><div class='xr-var-data'><pre>[104760 values with dtype=float64]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0a935810-036d-4414-b760-dcf45ea762d7' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0a935810-036d-4414-b760-dcf45ea762d7' class='xr-section-summary' >Data variables: <span>(5)</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>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-45baa00c-b651-4659-92c0-c014a8532abc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-45baa00c-b651-4659-92c0-c014a8532abc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a8b91963-4e37-4af0-a46e-41d7f18fdf78' class='xr-var-data-in' type='checkbox'><label for='data-a8b91963-4e37-4af0-a46e-41d7f18fdf78' 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>_ChunkSizes :</span></dt><dd>[1 2]</dd></dl></div><div class='xr-var-data'><pre>array([[cftime.DatetimeNoLeap(2020, 1, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2020, 2, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2020, 2, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2020, 3, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2020, 3, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2020, 4, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2020, 4, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2020, 5, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2020, 5, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2020, 6, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2020, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2020, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2020, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2020, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2020, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2020, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2020, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2020, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2020, 10, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2020, 11, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2020, 11, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2020, 12, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2020, 12, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2021, 1, 1, 0, 0, 0, 0, has_year_zero=True)]],\n",
       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertices_latitude</span></div><div class='xr-var-dims'>(j, i, vertices)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-91317023-2d02-42a3-bb9e-67fc2cb8e86b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-91317023-2d02-42a3-bb9e-67fc2cb8e86b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ea91b1d5-76b3-4d92-ba91-74fd6887f256' class='xr-var-data-in' type='checkbox'><label for='data-ea91b1d5-76b3-4d92-ba91-74fd6887f256' 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>_ChunkSizes :</span></dt><dd>[291 360   4]</dd></dl></div><div class='xr-var-data'><pre>[419040 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertices_longitude</span></div><div class='xr-var-dims'>(j, i, vertices)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6e369831-34dc-43df-b4aa-0cc84088d856' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6e369831-34dc-43df-b4aa-0cc84088d856' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a3116059-1f87-40b4-9963-aa99ac753ec0' class='xr-var-data-in' type='checkbox'><label for='data-a3116059-1f87-40b4-9963-aa99ac753ec0' 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>_ChunkSizes :</span></dt><dd>[291 360   4]</dd></dl></div><div class='xr-var-data'><pre>[419040 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>siconc</span></div><div class='xr-var-dims'>(time, j, i)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d1b359b1-93bc-4797-8012-9eac95926e55' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d1b359b1-93bc-4797-8012-9eac95926e55' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-effcdb88-67ce-4500-bcf8-9d082425204a' class='xr-var-data-in' type='checkbox'><label for='data-effcdb88-67ce-4500-bcf8-9d082425204a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>sea_ice_area_fraction</dd><dt><span>long_name :</span></dt><dd>Sea-Ice Area Percentage (Ocean Grid)</dd><dt><span>comment :</span></dt><dd>Percentage of grid cell covered by sea ice</dd><dt><span>units :</span></dt><dd>%</dd><dt><span>original_name :</span></dt><dd>soicecov</dd><dt><span>history :</span></dt><dd>mltby100_ocn 2019-09-25T23:01:33Z altered by CMOR: Treated scalar dimension: &#x27;type&#x27;.</dd><dt><span>cell_methods :</span></dt><dd>area: mean where sea time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacello</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 291 360]</dd></dl></div><div class='xr-var-data'><pre>[1257120 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>areacello</span></div><div class='xr-var-dims'>(j, i)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fff10df8-11bd-4aac-8a59-f8e7ab0a7167' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fff10df8-11bd-4aac-8a59-f8e7ab0a7167' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8abbfde9-3ce1-4a87-af45-7adf227875de' class='xr-var-data-in' type='checkbox'><label for='data-8abbfde9-3ce1-4a87-af45-7adf227875de' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>cell_area</dd><dt><span>long_name :</span></dt><dd>Grid-Cell Area for Ocean Variables</dd><dt><span>comment :</span></dt><dd>Horizontal area of ocean grid cells</dd><dt><span>units :</span></dt><dd>m2</dd><dt><span>original_name :</span></dt><dd>areacello</dd><dt><span>cell_methods :</span></dt><dd>area: sum</dd><dt><span>_ChunkSizes :</span></dt><dd>[291 360]</dd></dl></div><div class='xr-var-data'><pre>[104760 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f354144e-2ad6-4e03-9f74-4a6c6a650d8e' class='xr-section-summary-in' type='checkbox'  ><label for='section-f354144e-2ad6-4e03-9f74-4a6c6a650d8e' class='xr-section-summary' >Attributes: <span>(56)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>CCCma_model_hash :</span></dt><dd>fc4bb7db954c862d023b546e19aec6c588bc0552</dd><dt><span>CCCma_parent_runid :</span></dt><dd>p2-his13</dd><dt><span>CCCma_pycmor_hash :</span></dt><dd>26c970628162d607fffd14254956ebc6dd3b6f49</dd><dt><span>CCCma_runid :</span></dt><dd>p2-s4513</dd><dt><span>Conventions :</span></dt><dd>CF-1.7 CMIP-6.2</dd><dt><span>YMDH_branch_time_in_child :</span></dt><dd>2015:01:01:00</dd><dt><span>YMDH_branch_time_in_parent :</span></dt><dd>2015:01:01:00</dd><dt><span>activity_id :</span></dt><dd>ScenarioMIP</dd><dt><span>branch_method :</span></dt><dd>Spin-up documentation</dd><dt><span>branch_time_in_child :</span></dt><dd>60225.0</dd><dt><span>branch_time_in_parent :</span></dt><dd>60225.0</dd><dt><span>contact :</span></dt><dd>ec.cccma.info-info.ccmac.ec@canada.ca</dd><dt><span>creation_date :</span></dt><dd>2019-09-25T23:01:33Z</dd><dt><span>data_specs_version :</span></dt><dd>01.00.30</dd><dt><span>experiment :</span></dt><dd>update of RCP4.5 based on SSP2</dd><dt><span>experiment_id :</span></dt><dd>ssp245</dd><dt><span>external_variables :</span></dt><dd>areacello</dd><dt><span>forcing_index :</span></dt><dd>1</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>further_info_url :</span></dt><dd>https://furtherinfo.es-doc.org/CMIP6.CCCma.CanESM5.ssp245.none.r13i1p2f1</dd><dt><span>grid :</span></dt><dd>ORCA1 tripolar grid, 1 deg with refinement to 1/3 deg within 20 degrees of the equator; 361 x 290 longitude/latitude; 45 vertical levels; top grid cell 0-6.19 m</dd><dt><span>grid_label :</span></dt><dd>gn</dd><dt><span>history :</span></dt><dd>2019-09-25T23:01:33Z ;rewrote data to be consistent with ScenarioMIP for variable siconc found in table SImon.</dd><dt><span>initialization_index :</span></dt><dd>1</dd><dt><span>institution :</span></dt><dd>Canadian Centre for Climate Modelling and Analysis, Environment and Climate Change Canada, Victoria, BC V8P 5C2, Canada</dd><dt><span>institution_id :</span></dt><dd>CCCma</dd><dt><span>mip_era :</span></dt><dd>CMIP6</dd><dt><span>nominal_resolution :</span></dt><dd>100 km</dd><dt><span>parent_activity_id :</span></dt><dd>CMIP</dd><dt><span>parent_experiment_id :</span></dt><dd>historical</dd><dt><span>parent_mip_era :</span></dt><dd>CMIP6</dd><dt><span>parent_source_id :</span></dt><dd>CanESM5</dd><dt><span>parent_time_units :</span></dt><dd>days since 1850-01-01 0:0:0.0</dd><dt><span>parent_variant_label :</span></dt><dd>r13i1p2f1</dd><dt><span>physics_index :</span></dt><dd>2</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>13</dd><dt><span>realm :</span></dt><dd>seaIce</dd><dt><span>references :</span></dt><dd>Geophysical Model Development Special issue on CanESM5 (https://www.geosci-model-dev.net/special_issue989.html)</dd><dt><span>source :</span></dt><dd>CanESM5 (2019): \n",
       "aerosol: interactive\n",
       "atmos: CanAM5 (T63L49 native atmosphere, T63 Linear Gaussian Grid; 128 x 64 longitude/latitude; 49 levels; top level 1 hPa)\n",
       "atmosChem: specified oxidants for aerosols\n",
       "land: CLASS3.6/CTEM1.2\n",
       "landIce: specified ice sheets\n",
       "ocean: NEMO3.4.1 (ORCA1 tripolar grid, 1 deg with refinement to 1/3 deg within 20 degrees of the equator; 361 x 290 longitude/latitude; 45 vertical levels; top grid cell 0-6.19 m)\n",
       "ocnBgchem: Canadian Model of Ocean Carbon (CMOC); NPZD ecosystem with OMIP prescribed carbonate chemistry\n",
       "seaIce: LIM2</dd><dt><span>source_id :</span></dt><dd>CanESM5</dd><dt><span>source_type :</span></dt><dd>AOGCM</dd><dt><span>sub_experiment :</span></dt><dd>none</dd><dt><span>sub_experiment_id :</span></dt><dd>none</dd><dt><span>table_id :</span></dt><dd>SImon</dd><dt><span>table_info :</span></dt><dd>Creation Date:(09 May 2019) MD5:38ea1fbdf3f31659e83c719fb4c48428</dd><dt><span>title :</span></dt><dd>CanESM5 output prepared for CMIP6</dd><dt><span>variable_id :</span></dt><dd>siconc</dd><dt><span>variant_label :</span></dt><dd>r13i1p2f1</dd><dt><span>version :</span></dt><dd>v20190429</dd><dt><span>license :</span></dt><dd>CMIP6 model data produced by The Government of Canada (Canadian Centre for Climate Modelling and Analysis, Environment and Climate Change Canada) is licensed under a Creative Commons Attribution ShareAlike 4.0 International License (https://creativecommons.org/licenses). Consult https://pcmdi.llnl.gov/CMIP6/TermsOfUse for terms of use governing CMIP6 output, including citation requirements and proper acknowledgment. Further information about this data, including some limitations, can be found via the further_info_url (recorded as a global attribute in this file) and at https:///pcmdi.llnl.gov/. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>cmor_version :</span></dt><dd>3.5.0</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14100/9e4f804b-c161-44fa-acd1-c2e94e220c95</dd><dt><span>DODS.strlen :</span></dt><dd>64</dd><dt><span>DODS.dimName :</span></dt><dd>maxStrlen64</dd><dt><span>DODS_EXTRA.Unlimited_Dimension :</span></dt><dd>time</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:             (time: 12, bnds: 2, j: 291, i: 360, vertices: 4)\n",
       "Coordinates:\n",
       "  * time                (time) object 2020-01-16 12:00:00 ... 2020-12-16 12:0...\n",
       "  * j                   (j) int32 0 1 2 3 4 5 6 ... 284 285 286 287 288 289 290\n",
       "  * i                   (i) int32 0 1 2 3 4 5 6 ... 353 354 355 356 357 358 359\n",
       "    type                |S64 ...\n",
       "    latitude            (j, i) float64 ...\n",
       "    longitude           (j, i) float64 ...\n",
       "Dimensions without coordinates: bnds, vertices\n",
       "Data variables:\n",
       "    time_bnds           (time, bnds) object ...\n",
       "    vertices_latitude   (j, i, vertices) float64 ...\n",
       "    vertices_longitude  (j, i, vertices) float64 ...\n",
       "    siconc              (time, j, i) float32 ...\n",
       "    areacello           (j, i) float32 ...\n",
       "Attributes: (12/56)\n",
       "    CCCma_model_hash:                fc4bb7db954c862d023b546e19aec6c588bc0552\n",
       "    CCCma_parent_runid:              p2-his13\n",
       "    CCCma_pycmor_hash:               26c970628162d607fffd14254956ebc6dd3b6f49\n",
       "    CCCma_runid:                     p2-s4513\n",
       "    Conventions:                     CF-1.7 CMIP-6.2\n",
       "    YMDH_branch_time_in_child:       2015:01:01:00\n",
       "    ...                              ...\n",
       "    license:                         CMIP6 model data produced by The Governm...\n",
       "    cmor_version:                    3.5.0\n",
       "    tracking_id:                     hdl:21.14100/9e4f804b-c161-44fa-acd1-c2e...\n",
       "    DODS.strlen:                     64\n",
       "    DODS.dimName:                    maxStrlen64\n",
       "    DODS_EXTRA.Unlimited_Dimension:  time"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# NBVAL_IGNORE_OUTPUT\n",
    "\n",
    "# The input test data is hosted on the Ouranos THREDDS\n",
    "url = \"https://pavics.ouranos.ca/twitcher/ows/proxy/thredds/dodsC/birdhouse/testdata/xclim/cmip6/sic_SImon_CCCma-CanESM5_ssp245_r13i1p2f1_2020.nc\"\n",
    "ds_in = xr.open_dataset(url)\n",
    "ds_in"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1200x400 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Let's look at the grid shape itself and the data for one time step\n",
    "fig, axs = plt.subplots(ncols=2, figsize=(12, 4))\n",
    "\n",
    "axs[0].scatter(x=ds_in.longitude.values, y=ds_in.latitude.values, s=0.1)\n",
    "axs[0].set_title(\n",
    "    \"The input horizontal grid points as seen on a lat/lon map.\\nOnly the northern hemisphere is shown.\"\n",
    ")\n",
    "axs[0].set_ylim(0, 90)\n",
    "axs[0].set_ylabel(f\"latitude [{ds_in.latitude.units}]\")\n",
    "axs[0].set_xlabel(f\"longitude [{ds_in.longitude.units}]\")\n",
    "ds_in.siconc.isel(time=0).plot(ax=axs[1], cmap=cmap)\n",
    "axs[1].set_title(\"Sea Ice concentration on Jan 2020, original grid\")\n",
    "fig.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5",
   "metadata": {},
   "source": [
    "### The output grid\n",
    "\n",
    "The NRCAN observations' dataset uses a simple rectangular lat/lon grid over Canada at about 10km resolution. To reduce computation time for this example, we'll first crop the grid to include only Hudson Bay and the Labrador Sea."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "6",
   "metadata": {},
   "outputs": [
    {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:  (lat: 207, lon: 570)\n",
       "Coordinates:\n",
       "  * lat      (lat) float32 67.54 67.46 67.38 67.29 ... 50.62 50.54 50.46 50.38\n",
       "  * lon      (lon) float32 -99.46 -99.38 -99.29 -99.21 ... -52.21 -52.13 -52.04\n",
       "Data variables:\n",
       "    tasmin   (lat, lon) float32 ...\n",
       "    tasmax   (lat, lon) float32 ...\n",
       "    pr       (lat, lon) float32 ...\n",
       "Attributes: (12/15)\n",
       "    Conventions:          CF-1.5\n",
       "    title:                NRCAN ANUSPLIN daily gridded dataset : version 2\n",
       "    history:              Fri Jan 25 14:11:15 2019 : Convert from original fo...\n",
       "    institute_id:         NRCAN\n",
       "    frequency:            day\n",
       "    abstract:             Gridded daily observational dataset produced by Nat...\n",
       "    ...                   ...\n",
       "    dataset_id:           NRCAN_anusplin_daily_v2\n",
       "    version:              2.0\n",
       "    license_type:         permissive\n",
       "    license:              https://open.canada.ca/en/open-government-licence-c...\n",
       "    attribution:          The authors provide this data under the Environment...\n",
       "    citation:             Natural Resources Canada ANUSPLIN interpolated hist...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-594eec81-8d46-4362-8399-e1938a82cf73' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-594eec81-8d46-4362-8399-e1938a82cf73' 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'>lat</span>: 207</li><li><span class='xr-has-index'>lon</span>: 570</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-dae80135-c341-49d8-b73d-383b23b8bc16' class='xr-section-summary-in' type='checkbox'  checked><label for='section-dae80135-c341-49d8-b73d-383b23b8bc16' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>67.54 67.46 67.38 ... 50.46 50.38</div><input id='attrs-eff16894-d18b-484e-b2a5-fda2f0363b11' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eff16894-d18b-484e-b2a5-fda2f0363b11' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c10a06f6-ae00-4501-b8ce-bfdb748d323f' class='xr-var-data-in' type='checkbox'><label for='data-c10a06f6-ae00-4501-b8ce-bfdb748d323f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>Y</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>_ChunkSizes :</span></dt><dd>510</dd></dl></div><div class='xr-var-data'><pre>array([67.541664, 67.458336, 67.375   , ..., 50.541668, 50.458332, 50.375   ],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-99.46 -99.38 ... -52.13 -52.04</div><input id='attrs-a94c7c92-22c9-4c1c-aa30-75cc35710562' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a94c7c92-22c9-4c1c-aa30-75cc35710562' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8663b723-ca39-479f-b9ee-15debb1c6ded' class='xr-var-data-in' type='checkbox'><label for='data-8663b723-ca39-479f-b9ee-15debb1c6ded' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>X</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>_ChunkSizes :</span></dt><dd>1068</dd></dl></div><div class='xr-var-data'><pre>array([-99.458336, -99.375   , -99.29167 , ..., -52.208336, -52.125004,\n",
       "       -52.04167 ], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e29e38d3-58ca-4c37-b099-500d708b05fb' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e29e38d3-58ca-4c37-b099-500d708b05fb' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>tasmin</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b794e9d1-516e-47bc-abaa-184f07f09b7f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b794e9d1-516e-47bc-abaa-184f07f09b7f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c795063c-611f-4fc3-9232-067310f2ad98' class='xr-var-data-in' type='checkbox'><label for='data-c795063c-611f-4fc3-9232-067310f2ad98' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>air_temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>_ChunkSizes :</span></dt><dd>[366  50  50]</dd></dl></div><div class='xr-var-data'><pre>[117990 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmax</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f1f62695-6bc0-41ac-8d31-58277333f5cc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f1f62695-6bc0-41ac-8d31-58277333f5cc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5d406df6-f6e6-41da-8c90-c5445082b13c' class='xr-var-data-in' type='checkbox'><label for='data-5d406df6-f6e6-41da-8c90-c5445082b13c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>air_temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>_ChunkSizes :</span></dt><dd>[366  50  50]</dd></dl></div><div class='xr-var-data'><pre>[117990 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-98e9f737-ccd4-4335-b853-cab5fa73963e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-98e9f737-ccd4-4335-b853-cab5fa73963e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d61e04ac-4201-416a-a349-72e103e25145' class='xr-var-data-in' type='checkbox'><label for='data-d61e04ac-4201-416a-a349-72e103e25145' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm s-1</dd><dt><span>long_name :</span></dt><dd>lwe_precipitation_rate</dd><dt><span>standard_name :</span></dt><dd>lwe_precipitation_rate</dd><dt><span>_ChunkSizes :</span></dt><dd>[366  50  50]</dd></dl></div><div class='xr-var-data'><pre>[117990 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5ed9d5f4-18bf-4cb0-8867-475d68c776c3' class='xr-section-summary-in' type='checkbox'  ><label for='section-5ed9d5f4-18bf-4cb0-8867-475d68c776c3' class='xr-section-summary' >Attributes: <span>(15)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.5</dd><dt><span>title :</span></dt><dd>NRCAN ANUSPLIN daily gridded dataset : version 2</dd><dt><span>history :</span></dt><dd>Fri Jan 25 14:11:15 2019 : Convert from original format to NetCDF</dd><dt><span>institute_id :</span></dt><dd>NRCAN</dd><dt><span>frequency :</span></dt><dd>day</dd><dt><span>abstract :</span></dt><dd>Gridded daily observational dataset produced by Natural Resources Canada (NRCan), available at 300 arc second spatial resolution (1/12° grids, ~10 km) over Canada. The version 2 dataset was updated in its entirety compared with version 1 and is not a simple extension of version 1 with additional years of data. Gridding was accomplished with the Australian National University Spline (ANUSPLIN) implementation of the trivariate thin plate splines interpolation method with latitude, longitude and elevation as predictors. </dd><dt><span>dataset_description :</span></dt><dd>https://cfs.nrcan.gc.ca/projects/3/1</dd><dt><span>type :</span></dt><dd>gridded_obs</dd><dt><span>institute :</span></dt><dd>Natural Resources Canada : Canadian Forest Service</dd><dt><span>dataset_id :</span></dt><dd>NRCAN_anusplin_daily_v2</dd><dt><span>version :</span></dt><dd>2.0</dd><dt><span>license_type :</span></dt><dd>permissive</dd><dt><span>license :</span></dt><dd>https://open.canada.ca/en/open-government-licence-canada</dd><dt><span>attribution :</span></dt><dd>The authors provide this data under the Environment and Climate Change Canada Data Server End Use License and demand that any references to or derivative works based on this dataset be cited using the provided citation information</dd><dt><span>citation :</span></dt><dd>Natural Resources Canada ANUSPLIN interpolated historical climate model from McKenney, D.W., M.F. Hutchinson, P. Papadol, K. Lawrence, J. Pedlar, K. Campbell, E. Milewska, R.F. Hopkinson, D. Price, and T. Owen, 2011. Customized Spatial Climate Models for North America. Bull. Amer. Meteor. Soc., 92, 1611-1622, https://doi.org/10.1175/2011BAMS3132.1</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:  (lat: 207, lon: 570)\n",
       "Coordinates:\n",
       "  * lat      (lat) float32 67.54 67.46 67.38 67.29 ... 50.62 50.54 50.46 50.38\n",
       "  * lon      (lon) float32 -99.46 -99.38 -99.29 -99.21 ... -52.21 -52.13 -52.04\n",
       "Data variables:\n",
       "    tasmin   (lat, lon) float32 ...\n",
       "    tasmax   (lat, lon) float32 ...\n",
       "    pr       (lat, lon) float32 ...\n",
       "Attributes: (12/15)\n",
       "    Conventions:          CF-1.5\n",
       "    title:                NRCAN ANUSPLIN daily gridded dataset : version 2\n",
       "    history:              Fri Jan 25 14:11:15 2019 : Convert from original fo...\n",
       "    institute_id:         NRCAN\n",
       "    frequency:            day\n",
       "    abstract:             Gridded daily observational dataset produced by Nat...\n",
       "    ...                   ...\n",
       "    dataset_id:           NRCAN_anusplin_daily_v2\n",
       "    version:              2.0\n",
       "    license_type:         permissive\n",
       "    license:              https://open.canada.ca/en/open-government-licence-c...\n",
       "    attribution:          The authors provide this data under the Environment...\n",
       "    citation:             Natural Resources Canada ANUSPLIN interpolated hist..."
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# NBVAL_IGNORE_OUTPUT\n",
    "\n",
    "url_obs = \"https://pavics.ouranos.ca/twitcher/ows/proxy/thredds/dodsC/datasets/gridded_obs/nrcan_v2.ncml\"\n",
    "\n",
    "# For this example, we're not interested in the observation data, only its underlying grid, so we'll select a single time step.\n",
    "ds_obs = xr.open_dataset(url_obs).sel(time=\"1993-05-20\").drop(\"time\")\n",
    "\n",
    "# Subset over the Hudson Bay and the Labrador Sea for the example\n",
    "bbox = dict(lon_bnds=[-99.5, -41.92], lat_bnds=[50.35, 67.61])\n",
    "ds_tgt = subset_bbox(ds_obs, **bbox)\n",
    "ds_tgt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ds_tgt.cf.plot.scatter(x=\"longitude\", y=\"latitude\", s=0.1)\n",
    "plt.title(\"Target regular grid\");"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8",
   "metadata": {},
   "source": [
    "xESMF relies on the useful [cf_xarray](https://cf-xarray.readthedocs.io/en/latest/) package to infer which variables are the latitude and longitude points. It will automatically know to use `longitude` and `latitude` on the datasets because their attributes are correctly set, as `ds.cf.describe()`  shows:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Coordinates:\n",
      "- CF Axes: * X: ['i']\n",
      "           * Y: ['j']\n",
      "           * T: ['time']\n",
      "             Z: n/a\n",
      "\n",
      "- CF Coordinates:   longitude: ['longitude']\n",
      "                    latitude: ['latitude']\n",
      "                  * time: ['time']\n",
      "                    vertical: n/a\n",
      "\n",
      "- Cell Measures:   area, volume: n/a\n",
      "\n",
      "- Standard Names:   area_type: ['type']\n",
      "                    latitude: ['latitude']\n",
      "                    longitude: ['longitude']\n",
      "                  * time: ['time']\n",
      "\n",
      "- Bounds:   n/a\n",
      "\n",
      "Data Variables:\n",
      "- Cell Measures:   area: ['areacello']\n",
      "                   volume: n/a\n",
      "\n",
      "- Standard Names:   cell_area: ['areacello']\n",
      "                    sea_ice_area_fraction: ['siconc']\n",
      "\n",
      "- Bounds:   T: ['time_bnds']\n",
      "            latitude: ['vertices_latitude']\n",
      "            longitude: ['vertices_longitude']\n",
      "            time: ['time_bnds']\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# NBVAL_IGNORE_OUTPUT\n",
    "\n",
    "ds_in.cf.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "10",
   "metadata": {},
   "source": [
    "If those attributes were **not** set, we would need to rename the coordinates to `lon` and `lat`, xESMF's default's coordinate names.\n",
    "\n",
    "### Regridding input data unto the output grid\n",
    "\n",
    "First we create the regridding object, using the \"bilinear\" method, and then simply call it with the array that we want regridded (here `siconc`)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "11",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "xESMF Regridder \n",
       "Regridding algorithm:       bilinear \n",
       "Weight filename:            bilinear_291x360_207x570.nc \n",
       "Reuse pre-computed weights? False \n",
       "Input grid shape:           (291, 360) \n",
       "Output grid shape:          (207, 570) \n",
       "Periodic in longitude?      False"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "reg_bil = xe.Regridder(ds_in, ds_tgt, \"bilinear\")\n",
    "reg_bil  # Show information about the regridding"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "12",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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Dodhzzz352c9+1jTA01rzgx/8oGm77I9zuVxuWv/1r399wD6zbVrPitvtw1rLVVddNaxjfcMb3gAwrIoGIQSlUqlpUPHyyy+3rQoZLXfffTcHHXQQ73jHO7j55psHvEcZBx98MI899hi/+93v8nVJknDttdeyyy67sOGGG+brn332WfbYYw+01vz85z8fMDWX8Z73vAchBN/+9reb1n/rW9+iq6uLfffdt2l9kiQ899xzbLvttiv7cj2elcIrFp5hM23aNM4++2zOOussrr/+eo466ii+/vWvs99++7HPPvvwwQ9+kI022ohFixbx6KOP8uCDD+YDh09/+tPccsst7LXXXnz605+mq6uLK664Ii9fXNkApNNOO41vfvObHHDAAXz+85/Pq0Iee+yxAcf+8Y9/nM9//vOccMIJHHbYYTz33HOcd955A6YCTjvtNG688Ube9a53cfrpp7PDDjtgjOHZZ5/l7rvv5mMf+xi77LILe++9N+9617s466yz6O3tZaedduLXv/413/3ud4d17O9+97t54xvfyE477cT666/PM888w4IFC9hss83Ycsst2z5m0qRJfOlLX+KEE07g3/7t3zjxxBPZYIMN+L//+z8efvhhvvrVr3Z8vs985jMsXLiQf/3Xf+Wcc86hWq1y2WWXDSih3XXXXZk2bRonn3wy5557LmEYct111w0YvIE7iwa4+OKL2W+//VBKscMOOzB37lxKpRLve9/7OOuss6jValx++eXDDlfLklB/+9vf5lUPRYqDiKw0+ZRTTsmrfT73uc8xe/bsMU2K/dWvfsVBBx3ErFmz+NSnPjVAfdl2222ZPHkyAMcddxyXXXYZhx12GF/4wheYOXMmX/va13j88cf56U9/mj/mlVdeYc899+Sll17i6quv5pVXXuGVV17J7994441z9WK77bbj+OOP59xzz0Upxc4778zdd9/NlVdeyec///kBUyF//vOf6evrG1Zljcczpoyvd9QzEekUkGWttf39/XbTTTe1W265pU2SxFrrXOyHH364nTlzpg3D0M6aNcv+67/+q73iiiuaHvvLX/7S7rLLLrZcLttZs2bZM888M3f/L1myJN9us802swcccEDbY2utCrHW2r/+9a927ty5tlKp2OnTp9vjjz/e/uQnPxkQkGWMsfPnz7ebbLKJLZVKdocddrC33HJL24CsFStW2M985jN26623tqVSyU6ZMsVuv/329vTTT2+qVFiyZIk97rjj7NSpU221WrVz5861jz322LCqQr70pS/ZXXfd1a633nq2VCrZTTfd1B5//PH273//e75Np/Cq22+/3e6+++62u7vbVqtVu+2229qLL7540Oez1lXBvO1tb2v6N7jyyisHPMf9999v3/72t9tqtWrXX399e8IJJ9gHH3zQAvaaa67Jt6vX6/aEE06w66+/vhVCNO3nlltusW9605tspVKxG220kT3zzDPzSprhBJe9853vtPvvv3/Tut7eXgvYj33sY03rv/CFL9jNN9/clstlu80229irrrrKnnvuuQMqVuhQUdLuc9VKtr9OS+trevnll+0xxxxjp0+fbiuVin3b295m77nnnqZtsiC3TkvrZyiKInvuuefaTTfd1JZKJbvVVlvZ//f//l/b4/3sZz9r11tvvabgLo9ndSCsHaGe6vGMIXvvvTd///vfhx0q5Vl3uPHGGzniiCN45pln8syHP/3pT7z5zW/msssuyw3CnoForXn961/PkUceyYUXXjjeh+NZx/BTIZ7VxhlnnMGcOXPYZJNNWLRoEddddx333HMPV1999XgfmmcCcsghh7Dzzjszf/58PvnJT/LQQw9x4YUXUq1WfYOtIbj22mtZsWIFZ5555ngfimcdxA8sPKsNrTXnnHMOL7/8MkIItt12W7773e9y1FFHjfeheSYgQgiuuuoqFi5cyJVXXskll1zCDjvswMKFC5vMj56BGGO47rrrmDp16ngfimcdxE+FeDwej8fjGTN8uanH4/F4PJ4xww8sPB6Px+PxjBl+YOHxeDwej2fMWOvNm8YYXnzxRXp6ekbctMnj8Xg86xbWWpYvX86GG2640sF9w6FWqxFF0aj3UyqVqFQqY3BEY8daP7B48cUX2WSTTcb7MDwej8ezBvHcc8+tVLO/4VCr1dhis0m8/Ioe9b5mzZrF008/PaEGF2v9wCLrVfHTn/50yGZGHs9ImTz1PQCECJQQSBqLShUyiUTSXi1TonFGpK1pui9Bo60lwRBbQ4xFW0gQGAsaQWwlGkFp+Q2r5PX1TTqCyLoOowaBRqCtxCAwyPS6RFvB62tXrpJj8DTomuI+b9mnRqUfK1X4fDXuW3mFVrcpFjRttgPQ2PQx7naSHkts3eflyWg9FptuXk0m8XTf+iyJq7ywbAq9UYm+pRXoV4RLFLJw8m4FINLLIL2UFhO4F/j93f91pV/bUPT29vJv//Zv+d+OVUEURbz8iubpP27G5J6VV0WWLTds8ZZniKLIDyxWJ9n0R3d3N5MmTRrno/GsbZjkZwD0TNs7H1ioNgMLd+luFwcTzciWwYXEYKnbBI0ktgYDRNZiyAYWoIG453BKy24fk9ekJ++XX+9yr9INKJAYK9CYdEBhC9cFi6acwKa93x+TY/B0QP+M8tS9Uekf89YBBpB+/gYy3IGGG1QM3LbdwMINKtzn0N1uDHplOuidrg06EdQTSUWGhFEJmZQRsoysdYFWBIFExaDqYBVYCTYdUFiR3haN5f2/vp+f7LP3sF7PyrI6ps4n98hRDSwmKmv9wMLj8Xg8nomItiZXelb28RMRP7DweMaAVxffzQbT92mSpLW1o5KjM0IhkdaCIFUJrGtRhVun0vvslH0RS+9cqeeQU/ZpXIf8jLiIRqCFcKqFyORuBQIiqzC+yGy1UF9yN+Wp2dm6bbpQoqEitP5rtJveaPf5VEK03VbSQbVoUSuiVNmKUBgr6BYRy0VMRcQEUhOIxl7Sj27jCUhVCwk2SRWKIL0twer0UgkOvvUebpo3t80RrTkYLKbNd20kj5+I+IGFxzNG/GPRXWw8vTGNMNpBhcnlbgnCYKzbn/NzuD8g2YAjJDWBTZ1L35J7hv0c1amdf5gHDhPc8cTp6zIW4nT6xbuXVi8m+3uSf8YaA4zi4AJWLlNgsMEFDBxgFKdATOqtiK3z4ERWUZExUliMFSTpemOFGxvb1EOBO2RVc09kVGEwIQrTIxJM6C49ExM/sPB4PB6PZxwwmI6m2OE+fiLiBxYezxjy/KI7ANh0+v5jvu/WKZEQkTvyiz8vlWlOJl+0+O62+5k+rWF6ay12U21Me8UTQyUE/1h018ocvmcMiZfe7aavMlVBCBTO1Jur4yK/MqaqxVA4tULRa8rUbMgSXaXPlKmbkLoJiLRCG4E1mRuzcKiAMKDqrgLESpFepkqFBiSIdErk0B/dww2HrbnTIdralXqPi4+fiHgxyePxeDwez5jhFQuPZxXw7KLb2WLGAW3vy5zc7cpOlWiUnErEAHOWEiKfXDZYQtHIEWjaDkF1+n65grLx9P0K28l8v2GHfI3s+Yv706M0mnnGFrP0LshMt9YO8FuoIR4/HA/QUEZOhQBh07Jn56voNSViFEtMlZoJeTWZTJ8psVxXqOmQyCgSrdBaIrRoqBU2P3SEhiABK21BsRC5tyJTLISBw793Dz9835qpWnjzpsfj8Xg8njEjr/IaxeMnIn5g4fGsIp5+7TYA/mXGu9ve30m5KKoWGbIwaynTE83MuBXSmGstnoVKZP7chtSfgfsxauelaDyu+b7sxy8L6Jo0dS4GRlR94lk1mKV35aXCxjY+G+DKQFX+WRnolRkuQ1WISARx6u+IgRhFzYb0mTK9psxS3cUKXWFFUqIvKdGfhCRaYrVwB2YEwjj1wfkt3HMFfcb5KkrCqRXKlY9Y1UjmLKocnomD91h4PKuI6dP2ZoPp++QDgEz2LC6QheQ0DySywUYxIrx1CVBpXLgkFIpQKAIaS/P2bhslBKGQHZeyCPLtsmOO00hxl/ZpiRHEVjRlX3jGD7P0LjSNEmBdGBhq2zxVpoRYqTLo7HGdlooQSAFSZJ9pSWwVdROyQldYFldYnlRYFpWpxSE6kZhEIhKBSNzUBiY1caZmTqktKrbIGISx6eAjvbQ0Li0cesOaOcht95sw0mUi4hULj8fj8XjGgbW1KsQPLDyeMaa3591MlXVq1k0hSDQKQ1iY8simNhohWAJtTdO0SHZ9sNjeUDRb9Dptm01vSFTbs5zMKJqpK9rafApEp71Jsh4lxQZo0eR5dC27dYh3xLM60Ig8MVWn8wTt0jfHIg22dbqsLARgMNY0jiFTLXRA3QRuGiQuUYsDdKSwiURqgdDNJadWCUxg0aFAxdapFFoghEUYkZs2raQxFTIx/74OiaFzc7fhPn4i4qdCPB6Px+PxjBlesfB4xoA/V46nIiKmqj4qCCIkWOdGizEY4c7Ksq6nxcQ8mZZ/ZqoF0Fa5GA7D2raNqlFUMTJ5tdWtnnVULbZrj61MO6B6xpPMxKkRYG2TiRM69w9ppV2Jc/G+Voom4EkiAJmwxMTURONPS2wlkVFEOl3iAKtTf4UpKBWFTqZGgQlTlU2Tmzudt8KZOLN1VqY+ixvv4YZ/X7PKTvUoq0JG89hViR9YeDwej8czDmjbaOK2so+fiPiBhcczCu5RZ1CWMTMwKGHbdgV1Mcs2d8wXNynOd2eqBTDAbzGWFPfbyZORnbWatIyweGakEahld6CA0io5Qs/KUCw9zddB3pgsQ1vb5PdppV258VBqRXb/JBFQlTGRVYTCBcYbKzFWklhJol3zMZt5KwpKRI5wYVhWOXFNxAahQYhUpRDNHouicvHvN93DjQevWarF2ogfWHg8Ho/HMw6sreZNP7DweFaCa815VGXEdJFQETGhSAhFgsQQCueMl8K5oyWDBxIZF181Jsfl/Bor/3MzWPlaFog1+poCz6rCLL0LNWVv11ZdiLYK2kgZTK0o3pepXKU8t8X5cQyuVXpiJNpITKpWiEQgE9HIsDDNny0rwSowShRyLESuWORKR7rccOiap1Rk79FoHj8R8QMLj2eYXNy7gC4VM73US1VGVFWdqoyoyNgtIqYiE0poQmEJsZTSACGJGJB2mQ02Og0qRjId0pTM2bK/wQYarSmf7VIWO3VJ9UxMimWnQ9EugXU4hsBsmzj9bMU2K00GTVYm7aZAYqMwVrjFCKyRLm3TkodjiYJBs/j0VrjyU3AmTqMtQgi+feqaN4hYl/ADC4/H4/F4xgFj3TKax09E/MDC4xmCL/V/iVAYppciQmnoUTWqMqIsY7plnYqM6RYRFRHTLWJCYekWjdJS2WJya+3nUbyvyHDUirGYQlHClcYWywyzrqieNY9sOmQ4tO2gW4wEH1BynIVfZYqFUyniQglyzQYYZK5cGCvcNIiVWCuwlrxHiExAxrjLJuWi5S9m2hfkqk+vXTHyepRTIaN57KrEB2R5PB6Px+MZM7xi4fF04Kv1iwmFYf1SRCg0VZVepipFVUb0qH4qIqZH1qgITVUYVItaUTS6dfJVtDPIdWIkKsVwjZxKSP726s3D3q9nYhMvvZvy1OGrFkWKCoZCtPVc5A3pLMRWULMqDUxT9NoSsXVR89o2VItssUY0OppqkJFTLITOwrBsszkTUoPmBNX9R8Haqlj4gYXH4/F4PONANtgazeMnIn5g4fG0cFV8IV0qZv2STpWKOqHQdMt6rliUhCYUCVNlHxWR0CMTFBYl3FleUa1oqBed/RRFOnkrRuqnGEnZ6WCNzjxrL+3Cr1p9F0XVonifTtWKCEmEIraSmg3pNWVqNiw8h9u/tSIvDRWpzyJrey4TcgUj81lgbXrd5tt9+BO3c9nF+6/S92R1srYqFt5j4fF4PB6PZ8zwioXHA9zAp5FYlDDMKhtCofMlUyrcZUKPqKWKhaYiNAqXWaEEhKk6EaZj9qJakZ0ZjjSqe1V4KqChUmRnoFvMOICnX7ttRMfmmbjUl9xNdWr7vIdWpSLz/mTVHkOpFlnYhMZJ+ZlaEVtFX6pYZD4LY11AljYyz7FwzcQaz99QKpy/QuqGipH7K1K14yMfv42v/tcBY/QujS+6UD2zco+fmIy7YvHCCy9w1FFHMWPGDKrVKjvuuCN//OMfm7Z59NFHOfDAA5kyZQo9PT287W1v49lnnx2nI/asTfxP+J/8T/ifzA6XsEG41C3BMjYIlrJ+sJz1g2WsHyxjVrCEWWops9QyZqo+pso6PTKhIgxl4YKwQgShkITpICIUklAoAhShUCghRzSokOl/w2U4gwptTb64PiAWgyG2Gm0tG0/fb9jP55n4DEcqbxpAiObS6E64NNnC81hXThrZgF5TZomu8ko0mcVJlRVxmd64RC0J0LHCJmnyZpZnnfb7kNq6stPEIrTNy05zM6duTImsLdiCqXVlFus9FgNZvHgxu+22G3vuuSd33HEHM2fO5Mknn2Tq1Kn5Nk8++STveMc7OP744zn//POZMmUKjz76KJVKZfwO3OPxeDweT1vGdWBx8cUXs8kmm3DNNdfk6zbffPOmbT796U+z//77c8kll+TrXve6162uQ/SspTza9QEA1k9vq7Q7qcSghCFEUxIaiaFbRoTCUBFOEQjTM7zMqJn1ApG4KZDi1IcScqX6d4ylUtFqzGx0LjXp/bZhyMOywfR90Nbyqo/yXqN4ZdK/o7BUZYTCUBHDF8q1tblaUYx1L06JFKdDQiEx1qARRCiWmCp9pkyvKfNSPJU+XeIf0WR6kxLLozL9cUg9CrCJRMTSRXknNPX7ENqpFQ0jp1MrpAZMQ8EYg/YnEwZv3lwFLFy4kJ122onDDjuMmTNnMmfOHK666qr8fmMMt912G1tttRX77LMPM2fOZJddduHmm2/uuM96vc6yZcuaFo/H4/F4JhrZFNJolonIuB7VU089xeWXX86WW27JXXfdxcknn8ypp57Kd77zHQBeeeUVVqxYwRe+8AX23Xdf7r77bg4++GAOOeQQ7rvvvrb7nD9/PlOmTMmXTTbZZHW+JM8E59GuD/B09Ui6ZZ2pso+Zajkz1XLWV8tZXy1Lr69gVrCc9VVv6qeI6RaairBUUj9FRQgqQlIWkopQlFHuUgQEKMoiJBTBiNWKoXwVps1/nRjopWh4KgwGbW2uVuh0MWTrPGsCj3Z9gCerR/FC9+EAyJZ/uZXtJdHOa5F9PmJrWGo0vRaW6AqLdJVFehL/THp4Nenh1XgS/4x6+GdtEq/WullWr9BXKxHVQ6hLRCSQsWgYNIumzSRTLdJFg8g9F+miLR/9z1tW7oV5VgvjOhVijGGnnXbioosuAmDOnDk88sgjXH755RxzzDEY474k73nPezj99NMB2HHHHbn//vu54oor2H333Qfs8+yzz+aMM87Iby9btswPLjwej8cz4TAIzCjO71v7vEwUxnVgMXv2bLbddtumddtssw033ngjAOuttx5BELTd5le/+lXbfZbLZcrl8qo5YM8ayZ8rx7s5ZxnTLRIqIiZEo4ShIhJCYVy4FZZQWCRQEsW5yyyGmwEx3WFa5RGgcj8FjKzss8jKPi6j6Kdo9VI0trFN22RnosX7JDB9mouE9m3TJy4Kg8Qgx+APTNFnkWGwxKm6VUuVrNgKetNy0uW2wnLdxaJkEst1hRW6zKKomxVJmcX1LvqjkBX9ZZJIYSKFqEunVsSu+ZjQhQZkmWoRu+oPsiqQ1FchrFMrsvLT0z68kAWXHTjq1z2erK0ei3EdWOy22248/vjjTeueeOIJNttsMwBKpRI777zzoNt4PEOR5U9URNxkbssMmQpLRWQmzIFnD3n+REvPj6JBM2O0A4OVoTWPYrCBRHE7GNi90rNmsVX/d3m2+72o9HOcodr8u2af0tbBQ5Hi4CIbdMbWEllLPU3ZjK1kualQswHLdRfLTYWluosVusKKpMSSqIsVcYlltQr1KCDuD9ygIpLIukBFAlV3PUJU1DzAEMa6qY/igEJbhG0MKMRa2jdkbWJcBxann346u+66KxdddBGHH344DzzwAFdeeSVXXnllvs2ZZ57JEUccwbve9S723HNP7rzzTm655RZ+8YtfjN+Bezwej8czSkZrwGw9aZgojOvAYuedd+amm27i7LPP5oILLmCLLbZgwYIFvP/978+3Ofjgg7niiiuYP38+p556KltvvTU33ngj73jHO8bxyD1rEv/Sdy2vTTrETYGkaZmhsLlSkYVadaKRmDn8BM3h9N4YaQJnu323Kx1tvS9/XHr7pUV35us2nr4fOk1hNNimUsOM6dP2RmNZuvielTpez6pl097v88qkf89LpVVBsZIdxInBwq9aVYvIWmJcB9OaDYisYpmpULMhy42bClmhKyyLK/TqEiviEr1RmVo9JI4CTC1wUyCRIOgXiKS5o6nQFqkLHU1Nelu3qBSk19M+ImsDzmMxiiZkfiqkPfPmzWPevHmDbnPcccdx3HHHraYj8ng8Ho9n1WNGGek9Uc2bE7MI1uMZY2as+DE9MqJbJFSFoVtAVQjKoqFANGK4Wxc1aDR3MSY7W4ZiZdSK1vLRBN22dDQ33GVz5BhiDC8turNJrQB4ftEdHZ/P/zisOWRm5MyELFNFrpVO/ooB6larL8dChCKyipoN6TNl+kyZ5bqLPlOiT4f065AVcZm+uER/HBDVA3RdIWtOrVB1Z9pUqVrhDJxpIFaSeiky5SIrMdXGRXwnJl1sGpblljNOvGns3kTPmDHuioXH4/F4POsia6vHwp+UeNYZzNK76JHQLSWhEI0IY0TTnLMs/BegUiVD5SrDYOrEwDAqO+BscKRqxWBNw2JriNP7MpUixuRBRi8tupN/LLqLfyy6q+P+W1WM1rPaRYvv9v6KCc60FTfnSsXK0vo5lS3fC2MFMYoYp1rUTMhyXXFLXGFJ1MXSeoVl/RX6+svo/gD6lasEqQnnq6i7RaUVISoGFTcCsURikYlxikRskLFBJBqhDSI2uXKBtvlyxnE/XunXPN5kxcKjWSYiE/OoPB6Px+PxrJH4qRDPOsWixXezwfR9AJqCrlop5lN0UiaGS/GsbyRqRbt8ikz6LDYNa7q9ks3DXlp0Z/6+AL4B2RrCS92HpUFvcVrpZHJ/hRQuz0J1KBxo99kfoK4h3ONtGuZkJXHaGn2p7uLlaDJL4y5e7J1Mb1SmPwrp7y1hIoXsU4hYoPobgVhZboWqpy3SY4uMLSq2BV+F81TIKHEH0UnuF8ItazDaCvQoWp+P5rGrEj+w8KxzZNMCs6fv27Q+KyfNaFfW2UprGFXx8YMNKNr1A2mUjLYPvGrtQpptM1adSAebLvFMDP5UPoGS0FRknIa+NQybiuJ12xKY1dz7o9OAuhMaQa8ps8RUWa67eCmayrKkwkv9U1gWlXl1xSRq9ZAkUtjeABFJVK9ExhD0p0bNBIKaM2qquusJEtTcQEJGJh1YtEx5tA4q0oGEVcLdJwR2DR5c6FFWhUzUgDs/FeLxeDwej2fM8IqFZ53lpUV3svH0/ZrWZeqAoVlVGE5U91BqxVBdS2H40x/Zda8yrN38IjiVULhS0rKIKQmNFIZQJLlCEYqkMP3RmAaBtL9NIeCtSLuQrGLvmNi66zXrwrGyMKxFupslcZVFcZXXalVW1Mv09pYxtQBqEtWXhWGl0x61omLhpkBUzSC1uxTGIusamZaSyliDMW7RtnjA+fSH0DilIv1KnXHiTXz5qoNXwb/AqsVYiRlFVYiZoFUhfmDh8Xg8Hs84sLZOhfiBhWed5vlFd+SqRWtNuEYP+fjsLDBTIzrFfY+FWtEuktuz9vGL4FSksJREQhWLEq6wsCQ0oUgIhc4DsZxyYSmhB5g2XVM9t8/s09cpyrudUhFb18m0ZhWxVfSaMstNhRW6wpK4i2VRhWW1Cv31EN0XIPsUqiYIVoiGtyJJFYvE5oqF0BZVN+4yMk6liAzCuHUi1i66O/NYaOOUCimwUoK0IN0rsda6SwSnn3Qz//31g1b9P5BnSPzAwuPxeDyeccAwusqO1d9LeXj4gYVnnaeoWgyHwRo4QbNaMZhS0Y5OasVg0dueNZc71cdQWMoyBkBhqIpMjXCKWe6nEDa/XhIaiSFMm45lakUe6Q2UcjUtq3hqBMK1kqkVOm2RboBeqzBW0GtDajYktgGxVdRMSF/abKxWD4lrqVrRLwn6oLw081akfoooje3WrqwUbVGxqwKRsWnyVQhtQWt3mTjlgiQBIUEKhFJOuQhwKsYI/ygf8thNVMox129x+Mr+k40pow25mqgBWX5g4fF4PB7PODD6SG8/sPB4JizPL7qD2dP37Xg2V/Q1bDp9/7b7KIZqDVepaPVXFHl20e3D2odnzeEGPo3EpjkUmkrmmUhVisxLIVMlIlMpwDUaA3KvRdFbUcLk3oqw8BHO1IpOKCGavEUmXWIriK3MvRU1GwIQW0XdBNSSgEgHxLHCRApVF6gaqH4Il6dKRWxdZkXcCL5yTccMMmpRKjJfRVGp0AasSS81qPQ7ZYTzVUiJkBarSPMuBKed8hMWfO09nHjhXdSnSpIKRJPBlEFXLLqnQlQOOSy5kR9t+e9j9u/qacYPLDyelJcW3dkUmtXJJPnsotubBhedwq4kclhlqkWefO2WEW3vmfh8z5yDFG4wUU0HDRURu3UizpMzs8FENgVSEgkyNW+66Q2TXw+FTi+z225w0G44q61tGlxobD6Azu4zVhTKmQUaQWwb3UxrNsQUBt2JlUSJQkcKIomKRF5SKkxaVhpbpLbIqDiw0GkgVjqgiBIwIJK0xNS6qZDGwCK9DZDg2qwq6UpOAWsEAgnCTaNYJfjoRxZS7gpAgKoLQKBLoGqCWCtMWdKvJe9+6BZu2fHdY/3PPSIMoul9XZnHT0T8wMLj8Xg8nnHAT4V4POsAwy3lHKhaZGeADYVCY5qMnO2mO7L7//bawpU6Xs/E533yAm6RZ1ERSa5KZFMhYTqt0ZjeMLlKUZz6kKIR2Q3kZs2w0M20+CdmpJHdWSdT2apa4EpNYxuwKJnEisSVmi6tdbGiVsZGEll30d0ycopFZtQM+tPwq8i4qO6iUhFrV04aJ06ZMNqpEdY2wrFM+n0x7pisTc/PjXLbSYXISlEDBRKEEMhagoxKWFFCdUlAostOtRBGoEuCJBGYUK3MP6dnGPiBhcfj8Xg848DoA7K8YuHxrFU8u+h2tphxAKbFSdEUBW71oOWpmYrxLzPe7f0VazEVkVCWce6bqMg4Vy4kJvdaZBHdjXhu0xTVnZFdzxWMbL3orFYYbMfPYigUWDDCotLPZBaI9WI8jaW6yjP9M1ielFkSdbG0r0K9P0T2u1AsWQeVdS9NLDKxqJpGaINMm4plngqhbUOpiGOnTCRJQ5nQbYLpUoOpJUYY43wXSkGSlqHGrgw1i/wOogQE6HoANkBXnFIhjECHIBOBCcffn2Cs87eM5vETkYk53PF4PB6Px7NG4hULj2cUPP3abWw8fb+mM8EsCjxz4rc2NGuHwbDFjAN4+rXbVtmxesaPufrL/DH4UFrZYamIiFBoSoWI7sxLkZWQQhtlonCCmgVhQSO6u7k9+uBkCoa2Nv/MamvptYrlpsQiPYkluspL0VQWJ1Ve6JvC8rjMinqZWm8JUwsI+ySq7mK7VQ1U3TaWWuLan0dJI/wqip3aECegNTaOG96K/MDaVFJl9xuD1QaUdJUkaYUIUuYt1bNLJQSyK0TYMrqs0GWB0ApdyhSLId6g1YAZ5VSID8jyeNZSsgyMIgqRdx6UCBCm4+CimLK58fT9fMrmWkpFxG6aIx1YSBrlplmCZlZCCgMHE63THjBwQDHcPzM6N2k2d84FqNkgnwZZqqv8M+phadzFa/3d9NZL9NdC7IoQVXNJm6oGYb8bVAQ1i6oZVF27aY9agojihkEzz6hIL7NBRZvpD9s6wMgGF0IgtEy7mxYGFLJ5WkBYi6iXCaxFlkNUSSI16JJAxRIdwvu/cQ/XnTB3mO/a2DP67qYTc2AxMY/K4/F4PB7PGolXLDyeMeClRXey3rS9C9MfTmZuNdIVp0yKZ4kZGssG0/dBW8uri+9etQftWa1sV7uGZ7vfm3cmVYXwq1aTZpaiCQyY7oD2CsVgCZsZrZ+5Rj+a5hbcBuFUC11JDZsVltfK1PpL6P6AYLlE1QThClB1CPpStaJuCPo1sq5dSakxzeWkGZlaAW56I1MnWjoMNz0GXBInYLMybtnmNWcm0P4aoquCNBbRVUZWAmf0TBQmSIOzYjjy6nu4/vjxUS2yst7RPH4i4gcWHo/H4/GMA2vrVIgfWHg8Y8Sri+9m+rS9m/oz6IJBTormkj+JSG/L3DyXMZyzT8+ax6a93+el7sMaEd1NKkWzWhEO4p9o/Xy0lpG2U8OKtCoV2mbXBSotnnbBWIq+pERvXKJeD9A1Bf2SoE8QrIBwOQR1S9jnSkxlnHomBKn/weQqA9AIwMIFXuUKRVHBaAmSs01KR3af7rxN0/sCoqsLoSRIkJHBCoGMJVaCjMb3e6YZnerQpjB3QjAxhzsej8fj8XjWSPzAwuMZQxYNwxehhMyX7EyzeAaarVtv2t6r5iA948rs3h/lDcWyEKxMrVBYwlStCBFuEW5RQhAKSZh+bkJkHsXdSiOiu3kpUlQrYkTa0dRtkzVCS6wiMoooCVzDsbpCRi7CW2iQusU3AXmVhhXCVW5Am5LShr+ioVoYrNZYY92itQvLytZn92XXC0snbBRBFEEcIyKNiDQy1qjYoiKLii0yHuY/3CogmwoZzTIRmZhH5fF4PB7PWk7WhGw0y0hIkoTPfOYzbLHFFnR1dfG6172OCy64AFMo7bXWct5557HhhhvS1dXFHnvswSOPPDKi5/EDC89q48xFV3H24q9z7rKv8bnlXx3vw1llDFXN0a4ZWUZrFcl0r1qslbRWg2SLFI1Y7lyhoLGoQqWRHsJH0Y5W1SLzVhhL2ipdEluVZm5oZDGsXoBVFqTFut5eYJ2NoqE6DHhCF72dkSoU1ppG9YYxTf6KduoE1jSWdnS43xqLjWKoO+VCxBoZG2RkXFv3dDnq6/eM4F1cc7n44ou54oor+OpXv8qjjz7KJZdcwhe/+EW+8pWv5NtccsklfPnLX+arX/0qv//975k1axZz585l+fLlw34eP7DwrHI+8o9v8dF/fjPvnJhdzu+9dDwPa5Xyj0V3DViXdRQxWLQ1+QBjsOkQgCnTxq4U7lv6c2O2L8/KM3n5wo6mTYXA/d1uGQRg82VlyAYl7aZOskFFhKJmQ3pNGYUhFJpAGJQ0CJkOKgRY6RbADS7Sxd1Or0jy3h1I0WzUpGVbaxoGzKEGEUNRfLw12ChyCZ9x4kK7osQNLCKDilyPk/GaDrEIzCgWO0Lj529+8xve8573cMABB7D55ptz6KGHsvfee/OHP/zBHY+1LFiwgE9/+tMccsghvPGNb+Tb3/42fX19XH/99cN+Hj+w8Hg8Ho9nHBirqZBly5Y1LfV6ve3zveMd7+BnP/sZTzzxBAAPP/wwv/rVr9h///0BePrpp3n55ZfZe++GUloul9l99925//77h/26xn1g8cILL3DUUUcxY8YMqtUqO+64I3/84x/bbnvSSSchhGDBggWr9yA9I+bY567nxBev5eSXv4MQ7qyseTFILAtq/zXeh7rKeGnRnYBTKJxKYYmtxmBI0E0lgcW479Z+DwoxKtXiBj7NDXyan4hPMi3o5RZ51krvyzN2dC27tW0glsZigNga97kZhUoBNE2f5LeFU0WyEtPYSmo2oGYCem2JPlt2UyHp9zVTLERBrXCLQBiLMKRLh+PM1Li850eLmVNIRLuwqzHAGThjZ+CMk8Z0SJyWyEZuOuSYy9bc6ZBNNtmEKVOm5Mv8+fPbbveJT3yC973vfbzhDW8gDEPmzJnDaaedxvve9z4AXn75ZQA22GCDpsdtsMEG+X3DYVxzLBYvXsxuu+3GnnvuyR133MHMmTN58sknmTp16oBtb775Zn73u9+x4YYbrv4D9Xg8Ho9njBmrtunPPfcckydPzteXy+W22//gBz/g2muv5frrr2e77bbjoYce4rTTTmPDDTfkAx/4QL6daMlJsdYOWDcY4zqwuPjii9lkk0245ppr8nWbb775gO1eeOEFPvKRj3DXXXdxwAEHrMYj9IyUI5/+IYEylFQ7laKgVmTXsXwt+gKnlD453oe+Snhp0Z0DGpTlJ5/CDOh8moVmQcFzYS2McC71dnkmMm1mNS0tHWyUNRp+rT7MbvFlg+7jz5Xj2aF29Yie1zNyNAJlLQiBSss/nWFBNMKmhqCdbwIGmoGL2+cNyCxEKCKriFHUTEjNltBI57GQ7nMjhPNYIN0xNasWzoCZey0s5L5PIUBIF5iVH4Bo3F9ESLeDlfVXtMFq7VQLpRBRhBDClZ1KkJHEColMBCMssBgT9Ci7m2aPnTx5ctPAohNnnnkmn/zkJ3nve98LwPbbb88zzzzD/Pnz+cAHPsCsWbMAp1zMnj07f9wrr7wyQMUYjHGdClm4cCE77bQThx12GDNnzmTOnDlcddVVTdsYYzj66KM588wz2W677YbcZ71eHzDf5PF4PB7Puk5fXx9SNv/ZV0rl5aZbbLEFs2bN4p57GtNCURRx3333seuuuw77ecZ1YPHUU09x+eWXs+WWW3LXXXdx8sknc+qpp/Kd73wn3+biiy8mCAJOPfXUYe1z/vz5TXNNm2yyyao6fE+BQ5/4MUc8eQOBcsE/SqaLMATSEKQqRfEylJqyTAiFXqurFV5adCcGS4xBp5cGS2xdu/SsWiRTLrLmZVmoUTYfvt60vQctP/1z5XgeKJ3Mb0v/wfRgBdNVL9NVL1NVH9PVCqYH7vpU1cf0YAWPdn1gwD6erh6ZLz2yn6erR66S98TjEEudD0cj8pJPgysDzbwW2tq2S5FOEd6dKkmKSoZ7boHBlZrWbImaCekzJcBVcSlhkDIr/6BRbpqqFsKA0NZ5LDpVhbTzUAiBkNLdtwp9FiaKnGqRaNAaoTUisQhtkTr1WiSWY76yen0W2VTIaJaR8O53v5sLL7yQ2267jb///e/cdNNNfPnLX+bggw8G3BTIaaedxkUXXcRNN93EX/7yFz74wQ9SrVY58sjh/xaM61SIMYaddtqJiy66CIA5c+bwyCOPcPnll3PMMcfwxz/+kUsvvZQHH3xw2PM7Z599NmeccUZ+e9myZX5w4fF4PJ4Jh0FiRnF+P9LHfuUrX+Gzn/0sp5xyCq+88gobbrghJ510Euecc06+zVlnnUV/fz+nnHIKixcvZpddduHuu++mp6dn2M8zrgOL2bNns+222zat22abbbjxxhsB+OUvf8krr7zCpptumt+vteZjH/sYCxYs4O9///uAfZbL5Y7GFc/YcvCjNyNk6hpXhkC5+VglnRqhZEOdCKShJDWB1HSrCCkMoTCUVUIgNArDD+xnOUKsncrFPxbdxXrT9kZjUSJrPpZ5KEhThpyvQtvGfVkTMwTp+mZ6e96NTltcz0AQyQCDRFuBElluSKoi5cpI5uFwt1+bdEi+v3aztK9NOoQZK348Nm+EZ1CMJa2gsOnnwqIZ6JWQ0KRaZJ+pVmSTMlHYHhe+hdXpfa59d2SDvPlY3YTUTZD7oXCdxvOArHxRYIU727UiPX5hm9UKIxq3W1ujtyCkwBo5pj4LABsnkCSQKFcZIiUyDrDSIpPs9ax89c3KoK1Aj8K8OdLH9vT0sGDBgkErK4UQnHfeeZx33nkrfVzjOrDYbbfdePzxx5vWPfHEE2y22WYAHH300fzbv/1b0/377LMPRx99NMcee+xqO05PMwf99WaktASBk0eVNPkUSKjcgCJMBxkSSzWI3YAiiAiEpkvFKGEJhKYi44bUKgy3cyb7my+ultdxwAO3c9tb918tzwUQp+FHWNsUhmXSPyJuykPmg4zs70BxcAGwwfR9iK0lspbQCiIkoTAY6/44tMb8ZimPQG7edPuV9E+eR3UYx94/eR5dy24dsD4b2GTPOW3FzcN/QzxAOh0yZZ+0s2hWcloYXEAhfcoNCrI/udm/dOsgI6O5pHngIMOVM6fPmf4b6jR9s2ZC6jbMzdYiXWw6wLASjAKjBCYQbmpBNAYZpL1CsusI6VI4hxhYuCkRk415RodofBes1tgkQcQKkRisMghtkIlAJtYNkBLfVXgsGNeBxemnn86uu+7KRRddxOGHH84DDzzAlVdeyZVXXgnAjBkzmDFjRtNjwjBk1qxZbL311uNxyB6Px+PxjAljVW460RjXgcXOO+/MTTfdxNlnn80FF1zAFltswYIFC3j/+98/nofl6UCmVIShUyrCQKcGTdtQKqRTKioqaUx9FJSKUGiqKkJiCVPjpgsISuOureQedQZz9ZdX2euY96dbEdKiuiwH/fVmbt72oFX2XBnR5P2JbdoHYhC/kGmpwetURlgWglBYlDWUraYiTG7+01lEeDblMYpwpSJZ6rFMz64BKplKkp4Z9va8m+7lt4zJ861LZGqFThWtzMPoypGdmVOJbFubT420KhfAAGNn9nlrp16UhCAmjRIXBiwYBLEN6DclViQlajokMRJrBdZmnUtJp0XcVIgJBDIQ7kBTrBAISUO1kI3pECEkVppU9jDplAlgJDAWUgVNakVOFDvVJNGIQCJjA1IgE4mVruT0pK/fOzbPPwzsKDuU2gna3XRcBxYA8+bNY968ecPevp2vwuPxeDwez8Rg3AcWnonPex75CUqZAUpFKVUpgtRbIUXqpxCGahBRlgmB1ExS9VypCIWmLOO8wVFmIMzQ1gXG/EKcyh7J/xuz1/Duh25BBhYhDaVqGs6VekOOeuYHXLvZEWP2XBl/rhxPt6wzXa6ggkzNcZZQNDeCyo2aLd6LopHTFM5S8/szUyeWEqDzZKLC/TSb9nSLeJGdBXcKUsofh0VPdbHiWQy0saCFIAR03mBNoCfvh1p2x1Bvj6dA5rPIyEycKi05Heq8tJPNsZ3J023vPlehEITWpLHezrTZa8r0mRJ9OqRfl+hLQmKjsEa4j1fWK6wYkhWAVQKbqhJWFtpjSZoNnHKYqoQYWwOnkMIZOIMEkWhELBHaIBLnD5GpKVWKsVH4hkNRYVzZx09E/MDC4/F4PJ5xwNjR+SQ6tWYZb/zAwtOWA/93oSslTT0VSplcqagECUq6UtGsnLQaxJRUQpeKKcmEqorzqo+qdEpFVdZRwlAWcV4KWaxQAFc+lQX1/DocOnZ6MN7zyE9cAzRpKVUtgXLu9jBwSokQUArca/joP7/JpesfN+r37cd8iqqqM1310t1yHmlakrlbW1i38160lp+2UkZhxMAApOJ8elhQRMJMoWhp0d6unXbWAMtgkS1z/DKNmjZNVQyFM+cpexMvvbvtMXscfyqfwFTVR0XETFX9VApVIRlNlSIt/wYwtNJU/AQW1Qu3vnE9UwrjtNy0ZkL6dUhfUqI/CanHAcakJR/GPafIilaEi/U2yjqfRfEJi2WmhdJTa036V9W4KhFrx/avZIu/IgveskmMSAJXdqokIjEIKdOqEFd2KiembWGNwg8sPE285y8LEdIQlBrTBWGg0/4fbmDRFcQE0jApiCiphJJMmKSilmkPdxkKTbfMriconNlTkuU2pAOL1IQUW5VeBmgkf5InMKf+jWEf/+H/dwNCgJKGSd02/S1zZXKldLqmpJK8/0ElHRyVpGZ+76Wc3f3REb9nX61fzOSgRlkmTAkar9V1cG0ZXJDmUbQMIgYzdGaDi073KYT7Q0/jD70q9ILIboctT5GlegIEqMIxpmmgxacU5FtIC2Gh1YPGEuY9LhoPifEUudacR1VGVGTMFNVHJQ1HMmnyZYxEifZTBO1MnMCAAeVgFPecTYll01puXTa4cFMikQmIjCJKAupJgEkkVou8k2kRmw4urMzyLgoHmQ0coLmrabrepn1G3Lqxza4ABqR52jhBxLEbWMQaKQQyVuk0Dgi1+mQAM0rz5mgeuyrxAwuPx+PxeMYBg8CMwicxmseuSvzAwgO4UlIhICilaZnKIKVBSZsrFZVUqZgc1qmomKlhP2WVUBYxk4IaodD0SHdZkTGhSCgJnSc/huk5U1NgU3qftu7sLQtbilH5uke7PsA2/d8e9PiPfe56hIAp1bSDZxrOJYTN1YmsT0lFOVOpUyoSlwCaGk2Hy+eWf5WKipkc1JgcRExS9XzapyJiSkKni3sPXGfRNJCoxaA5HIbart2USevURvP0h2y7TSvt7i+qLQZLiMinWdwZsPu3nTR1LiuWrN7eCxOJTy+5gpLUTCn1U5IJ04KBZ+PaulLdyCqksMTWQuH7MRpajbpQVJncv2HcMr+vrcBYSWIViVFOsdCKOFFYLZ3RMVUtMAWBKr1i01wvoV0fDjfFQUOpKCpvxji1wjbUCmtaOpuOgYHTGtukWtgkxsYxQrkEToRAJAaphOt0uhpFgNWdvLm6mJg6isfj8Xg8njUSr1h4OOTxmwhDg0iNjUKQ9vqwaVmp8yRMLdVypaJLRUwLe6mIhKqs06NqhCJxfgp0W1XCBWG5SOlixHRGnEYJa+ECerTIzqoUz3a/l017vz/g2L/Y999ERrFhT4nEyLyvQRYn7q5rJO5SpSqFSm9n3VWdwqL5mTyNvZIFbd+nq5PPkxhF3QRMCaEsE6aGfVRkzCRVoyJiqrJOKTWqlkRCRSSp58IUTHgDPRZjQaZIZH6MVpVDIpsUCJMaM4e173bKRVoGq7GNU1dbMFoIu86oFof97UbCQNNdjgiVpqwSJpcMgdQEqddIikZ0fSsG6SLZ0/JdcCf57Zp9tvos2tGqVhS9FFmQGrjvnEa472fB76StILGSxEgSLdFaYhPRpFgIQ6P8tPVjlKoTQluELagVNjVsZp4KncXXp2pF9vDRei6saY7zLuxbSAFxAipOL9M4cmmc38J7LEaNH1h4PB6PxzMOZMbd0Tx+IuIHFh5+vPXBHPXMD9JIbqdclFWSV1JknorppV7KMmG9cAVlGTNdraBbOm/BVNlHWDgTy8pIGyqFTa9TUDKa53wrwhBbnYb1JOjCWZy2Mu+y+UDpZPpMiZoN2bSrSt0ErNBljBUkVjXUiTQqPJRpc+JULSnLxHk+0rCuUGgqwnlCKjLmifBotur/bv5aHiidTM2GbKRKGCupmTD/Qk9R/YQioadJsciUCqeMZGqF81d09ktkvofWWO+R0k6pyMgrPkbAYD6MAfcJCvPooql51tpMGGi3KE0otYuzF2l4XOrtydSKPD47RVuZBp25JnS68N2BRsnpcIKy3P6abxf/tYux78YKIpT7jlmZV2y57YRTK1LFwphMqWioFflimxfAKRiZx0KnPgqtm5ULa9v6KkatVjR21DbW2xqLTaO9RZIgIomMdRpRvnoVi7UVP7DweDwej2ccsKOsCrFesfBMZLrCuKmJ2ORSnZJ0jcSmhn10qZjpQS9VWWd60NuIqpYJJZo9BECTMhGKLAwqO5sWTUE9WQ4CQJiemcW4mGGEmwdGQISit+fdbGS66DVlarZEVUbEVtFnnJqQ5WC4OW2TX3fKQZpZIRLXBC1VKEpCUxFRrlwobNo0TFGzIbNsidgG9Joy2jr/hzt2kT+mR/UTovOKkKKXxD23dWpFhx+CoqowVspFhsF0zMEY3uObHzsg1Kt11y1+iynT5rJ08drts7h+i8M58cVrCaV2DfiUpiQTymkFUrml4Z6kkeUCqVphpfvOjOHfiqIiWFQr4jyzQqKtpGZDNDL9fLsci8RIYqMwRmK0hEyt0G7HQpNXhzQUiMZzi8xP0eqvSC+taagVRQ/EmGZZZPtqUS5sEkMkEXHilItYI5TzkKxej4XvbupZi7lqw6P42GvfyKc9esIaVRVTFjHTwl6qMmKGWkFV1pmhVqRSf/MfzlzqTwcRpAFMYRvTYGbaLJYrAnmIUyws2rpBRiisM7KlP7pSWKoiIkbRLetEaVKgQaYlqm4nMpWcZSrxZuWvWVBXYwrEUEmnLYpUhKZKTNVGxFbSI8Om/WeEQtMtovx6u+mfMO31IRmYdNk8VTG6H9XiAKKTMXMkoUqDkR1/28EFFKZFBNOn7c2ixWt3EudVGx7FJxZdmQ4qnIGzJDPzbvPizJI2XZqnR4wV+ZREJzoZOIvTIIN9krJBRa8pE+P6g7jUzYC6CfJSU23cNIg1aS1xOiUiNR2nRBphWMaVnBrjpkGyktOWhE27OnKpWwYrVoNIEpfAGUnQJUQsUvPm2Id0rWv4gYXH4/F4POOArwrxrJWc9NJ3KamEqeUa61Ui1iutoCyTplLS6YEzac6QvelZvu6oUoRC5mfjHUOdbKNUMZsaaI2bVpi0T0XaWRNy6bhERLeKia2kImJiGxBJ5TprpqoFZEFcpmkqRGGpZFMiGMIOZ4bFr2tFGIyFCKdKFOVHnT5nNu0R5tMvttmwmXaSlDgFxx1f1l+jtcNr5/juTjh1p7lnyHBLSYfz3B2Pwaax4tn6pjPmzHy47pjhKkGSTyF2yTifBsnKmcsyppSXIDuDr5uEaJRjQ3OPkCLDNXAWyaZBomzqA0mfKRFZRZ8tE1nFct1FzYb5NIhTLRrGTatT82amVOjGIrUtTIvYVLkoGDfbhWOlCOn6j6wW1aIFEyeIKEYIgajF6fSORZnVp1isrVMhE3O44/F4PB6PZ43EKxbrKMc+dz2TynUmlxMqKmFGuZduVWdmaTmTVK2plHSG7HVR2PkZv0ECJdEwZGY+CiXEkJ6B7OxW0bm5VrFrZ2xNagDNzubc2XBFGEJr0ET5mVg2gi+aJzMvSChc7HTW7dMdWSczZYPuNC47ey2RzZSUhiHOvZ5GOW3eRbSgVGRKTnYmb2xDYVC530IMUBoyL4O2tkkxyFQK9540PCvNHSwHp6gmtIuAhsZcvkJgrE29K43jdZcSgyHG5McQF7pyGqA6dS59a3lYVlVFzrApdB53X1X1XP2r5OXNzWbhouE38+cMxWBBWcVArCy221iReytqNiBKDcmxVSw3FeompGZCp1ZYZ9zUNjVuWuejydWKBOezyL0WNl1oVifSktLBVIsmVkETssGey0YRSIGoR6nZNECuRvXE9wrxeDwej8czZqytUyF+YLEOccyz30cJQynQdJc0k0t1qkHkwq/CXiapOusFy5mq+pgVLEVi0lLMJK2caFYqin6KUKihnj6nqGgM6L9cIGsHroRrAZ6dxcWFs7lQGLSFuGU/IbbJ2xCmTb/beRDaBUAVFQR3nORn49l+pHVVKqbpeJpLazOlQmNdCW1T1Ub2frgW49n2rcdR3L8pPH4wlUJnbcxbaBevXZ66d6tRP0cKiG12LDb/9zfWsmjxXU3brjdtb+L0eVsjpIvPVV/SuTpkWc+BAExevrDjNhOV85ddxoxynbJMKMskb0w3SdUoiYSqjPLKpEyxCNFppdLAaqKR0toKvTUMKyszjVO1omadQlGzIX2mRN2E9OmSqwjRATr1WNjUYyFTn0VRuWjyV6QVIU1fRSGay00B26pKCAk2Xpm3fPRkVSFBlId4jaAX4ahZpwcWb37zm0e0UyEECxcuZKONNlqpg/J4PB6Px7NmMqyBxUMPPcTHPvYxJk2aNOS21lq+8IUvUK/XR31wnrHh2OeuR0nLpLKLsq4GMSWlmRTU6Q7qdKmY9cIVTRUgFRHn1RMVYQixlER29i+HVCmGm8eQzc23Ww/ujNlgkIWqh7JonMWHaYhWUQlQqULRWpmStRXPHjtAlaB95UXe1KtQwSIteZvwImHBe2BSf0idhoLQ6V2RkJ6pFoPEhq7syLI+oFmlKAYjDaYQANSX3I2evF/bSgSZv1dpcNnSzvt6dfHdhFP2zs+SgSbPC4BqmWOPJu/fdLtSWF9advugxz3eHPPs95lcrtEVxkwt9TOlFDE5qDmfhYzpkTXCvCFdozGdxDpvRSE/pTX3ZLi081lk7/1AtcJ5JrLrcapaOKWiTN0E9OsSvbrkGpBpiTayuSKk6Kto9VfogseiNUc8z7Zo+TwLCegxaY++MlitXSOyKM49FviqkFEz7KmQM888k5kzZw5r2y996UsrfUCeseEDz33PhUIpzaSy605aSbuUVoOIkkyYpCK6VMQkVWeK6qMq60yW/VTSXhcVoSkLS0UIlJCUUQPMme0YalBhMB330bre/dGXqSSvB5SpZoSCtiWu7aZd2nfqlM3Gyg6vIX9sbmgsHifE1qRStGmaEsh+3HWb587/oFDoo2LtkB0sixQHLStjkOy14YB1Cpek2L38FrKAxaFYYspt10ucMTEG1OT9CgONln+vNaC3yOH/dwOTu+pMKidMKdeoqIQpYT9dKmZK0E9VRk0df10aa3P/mGzQ3q6HzmC0+9a0C8Uqmoqzkuj8dmp0zlI2a2koVr8u0W9CVsRl+pKQehIQxwqbSEScdTYFmRRCsQbcdp8ZkQ0uitMgWjcObhRJsGOJ1W5QI5IEmx1jshrNm+vywOLpp59m/fXXH/ZO//rXv7Lhhhuu9EF5PB6Px+NZMxnWwGKzzTYb0U432WSTlToYz+g56pkfEEpNV5jkfT+qQewuVUQgNZPSkrjJqp+KjCnLmKmqj0oq31ZEQo9MCAVUUqUiFGpALHc7hjsFMvztmqc4YHj9NoZ7f/aaXNfPga+pUzls63tRtyYtjSU3yUGrWiHz6/lrap16SEsOQ2GodFRNBh7TaMs4ewtKw+zeH630frqX38JL3Yc1rVPCoKyT/50iYfIplqJCoQrTLgDhEOWpvT3vJrKKaStuXunjXRl++PpDOf3Vq6mohKmlfrpUxIywl6qKmJb20cnUv2JJaVGlCPPLgfvv1J10ZUKHshJTk/a4aUxRyTS+202DLEsq9CZl+nSJpfUKtSSkFoUkkXLdPxOBjFN1IkkvNcgknQLJLo1FGOPivNv0CLHWNKsVxemPcZwOsXGSRpBL7GqM9HbfhtE0IZuYrFRVyJIlS3jggQd45ZVXMC3zUcccc8yYHJjH4/F4PGsz6/RUSJFbbrmF97///fT29tLT04MozGkLIfzAYpx4/99/QKAMk8oxodS5StGqVARSMyXopyxjpqh+Z9KUMVNVL1UR0SMjKsLQIyUhklBIAgaaNNsFOQ2HVtWgVbkYif9iZRlMeSkez1ANvZw5062vWZsqFU6tiFD5lz5KO66adJ5bW0mMM8/pwg+DEpaKiJBpYJIz/zWOp1Fum551Lm0u9xwNo1Ep2u3r0a4PuNAnDCUSV56Li1g3qUk091kUlAqZe1fc2XyxeVlWFpspQhWc4tE/eR5dy24ds+MfDlNLNapBxPSSa9DX2qivImJmqN5UqdCNRnRNHW47/FEoqDjajkypSK2QjccXFLPIutj7rNS0z5RYrius0GWWJ5XcW7E8Kju1oq4wkXL+ikggExqqRVpqKhOnWriy04aJs8lfAU6xMDaN+HadTYvKhZDjE+sNuKAsrRHWYMdJNVnbGPEv9cc+9jGOO+44li9fzpIlS1i8eHG+LFq0aFUco8fj8Xg8ax2ZYjGaZSIyYsXihRde4NRTT6Vara6K4/GsJNdtfgT/+co1eSlpNYgIhHF+i7QZUqtSMVX1UpGxuy77qQjNVGkpC6dWDNb0CjrFT49eVRhMtRjqeIa3/3bqQ+dGYMVQrPx6WuaZxXvH6VlhLW3iVLNhrk5kzdGy1tSuAVSQN3zKGqS50t44jX1OiKxKbycAq/2sfDRs0/9tHqkci8wqcYQBCyU0Oo2tLlndXrVI95GV3q43be/Ge523oHcKkRynWeYZ5RWFMu2I6YFTKmaoFXmp9nQZ52FyjvafTyVao+0L22VNyYb5Motlxpm/IrKKGFVoMhbkwVgrdJnepMyKuMyKuEQtCemvh8RxgKkHUJfIukBFAhk1FAsZ21S5sC7aO7HIxCCS1F9hTHMDMtoEY00krMEaiZBOvVhd+KmQlH322Yc//OEPvO51r1sVx+MZBV+ZeSwX9y5omvYoyyQte9NMUrWmAcVU2ZeXlU6VtilNM6P4B16J1JBY+IEomh/Hkk6Di+EOHtrvc3QDimK6ZSP10g0qss6RNRuk+QABNVuiZkJ6TTmXnmOr6NOuP0NiFXUdIIWhLN3AokfVKKeDvZoK6ZZ1tlrx3ZV+zeNJzYZIa0CCSi/zbqjWgIAKSb59p/yGUMimfzs3rZLlmqSfvyl7D5qxMdZ8pPwJbpFnsX6wnLKImRGsoFtEqflZO3OmoCmTpBMyzWLJaTfIaFOG267MFBpREdl0nJt2ywYWjUFFPe0L0q9D+pLQDSrikCgKSOoB1CQykqi6M26qbGDRNLiwiNggtHFTIellZtZsmlYwxfV2YKYFjJ+B01g3qDB+KmQsGNbAYuHCRrzuAQccwJlnnslf//pXtt9+e8Kwuf79wAMPHNsj9Hg8Ho9nLWSdViwOOuigAesuuOCCAeuEEOjVKCN5BrJeeUWuUpTTTorOBJgwOQ3syZSKqTLOe1u0duAcLAhLCdmkWqwqWlWL4agV7VSVwfZfpKFI2LbTHppmWbo4BeJ6MKhcnfhnMpk+U6LPlFmuK+6+pExspeseaRSJlUQmwFhBSWpKMqE7qPOR8ifcEySs0bylfiW/Lf0HGGdMxYAWkhJJOvWR0LXsTuLJ+6GFRaXvcxYW5d7vNO0UmQecyTRtUmMJs7RR4fqtrE7ebS7hyeAoQpHQI2ppzw+Th161S3ZtJdsm6ycDIAvJsg31onH/YGgEUjQ+o1nKZpQpaQW1omZC+nVITYfUdUAtCahFATpS2FiismmQOo1pkFyxSHuEpGmb7nZDrXBBWYVSU9N4PbZwe9wMm60Up0JWY3iXtQI7isHBaB67KhnWRLYxZljLygwqXnjhBY466ihmzJhBtVplxx135I9//CMAcRzziU98gu23357u7m423HBDjjnmGF588cURP4/H4/F4PBOJrG36aJaJyIg9Ft/5znc44ogjKJebo3ujKOL73//+iMpNFy9ezG677caee+7JHXfcwcyZM3nyySeZOnUqAH19fTz44IN89rOf5U1vehOLFy/mtNNO48ADD+QPf/jDSA99reZzy79KT1hj40o/U1Q/04MVaThPlPb+cN0Vnaei0fujtQtnmJ7xZxHX0FABirSqFqvCazESA+dQSkVTh9A2wVNxGnDVqlLAwD4frbHcGsES05UrFb2mzKtxD32mRL8OWRJXSaykpkMSI6lpp1IkRhIbhTaSqzY8ativdU2i15TRQhIKDRK26r96wDZq2R1Ek/d3SlGqXCBIu8faPMI9RDp/RXpGH+JMj1nIVKlQmroqeKB0sovkFnZAl9KsQ2kJg0y9Fdl3q1OgGzSrGW1LuEXW48bdKKoWSjT7LFq7yRor8vjuzCicLZnfJzGKyCiiJCBOFIlW2DgNxUrVCZHQ0ickVSlStSL3ViQGEuMOShsXj52aN7NgrNwYWfyeWjMxlItUtRis47JneIx4YHHsscey7777Dugbsnz5co499tgRDSwuvvhiNtlkE6655pp83eabb55fnzJlCvfc05y895WvfIW3vvWtPPvss2y66aYjPXyPx+PxeCYE67THooi1tikUK+P5559nypQpI9rXwoUL2WeffTjssMO477772GijjTjllFM48cQTOz5m6dKlCCFyVWNd5rjnr6caRnSHERtV+5kc1pgW9DJV9bFhsDhtfqTpkRGhcPPRQB7S08lX4a4PrRa081qsbHBW4/GdwrEG/wIN5qnodDzaWmJMXvHRyUfReiaYNROrpaWjNRvwSjKZug35Z9JDny7zz2gS/bpETYcsqncRa5WrE7FxXSNhzWi6NRr2ShYMa7uaDVzZLTr99zLOl5H6J5yfQg5QxqRoqEyde+2uHP8T/iclkRCmQV89Mkalx5UFmWXfsaqM86juzLeUKYHQ+fM7oGLEkis0Ov++NspRM/VjOH6LjFbVIvNX1E3gupgWPpPWCFKhCKxA2JaOpgZXXtrS2RRtIXFlpiLRzleRhmHlZaeZt6KoULR+b8e7IsN6j8VYMOyBxZw5cxBCIIRgr732IggaD9Va8/TTT7PvvvuO6MmfeuopLr/8cs444ww+9alP8cADD3DqqadSLpfbKh+1Wo1PfvKTHHnkkUyePLntPuv1elPL9mXLlo3omDwej8fj8aw8wx5YZJUhDz30EPvssw+TJk3K7yuVSmy++eb8+7//+4ie3BjDTjvtxEUXXQS4wcsjjzzC5ZdfPmBgEccx733vezHG8LWvfa3jPufPn8/5558/ouNYU+ku1ZkURkwK60wN+5gS9DNdrWCq6mNWsJxuofP550yVgGZPRatS4e4fmbdhNBUiw/FRjFV2hcGkykSj6iO2tslD0apOUFhXswqNzFWKyAYsN13UTMgi3U2fLvNa3E2/LvFa1E0tCehLQpbVK8SJIk4UQliyk1QpLBoQwnLk0z/k+i0OX+nXuaZTs2EekqWFRdss9hvi1EfRGiTVetYuEcyevi8vLbpzpY7hj+UPNd3uSdWJzE/hWp6bto3F2vmWQjK/khgyy6ITmQKohICC72cwss+rzBQfXNMxnTYey8KzEtOs8eQJ3MWFVJmwRYWioVSIJIvx1gitnXJhDCRJqlboRuMxW1ArCr8ZE8JfUWQ1qibr/FTIueeei9aazTbbjH322YfZs2eP+slnz57Ntttu27Rum2224cYbb2xaF8cxhx9+OE8//TQ///nPO6oVAGeffTZnnHFGfnvZsmVrbbfVr8w8lvm9lzIl7Gda2MsU1c+MYIUrfcMQCggLP2rFwQRAKFS+voi2ZkSDi7FmNAOJItmgonVAEVuTT3tk3UizHhSNgUUmObtyPY1wyZkolusuIquo25Dluos+U2Jp0kW/LvFq1E1NhyyudVHXAfUkoB4HGJP+gFiBwA0mMke3SKdDDv+/G/jh6w8dk9e+pjFzxY082/1eNILQOjNkDUuIoYZJBxFJbuCE5kFjPihGsOn0/Xl20e1DPuejXR/IrysMPW22yQYWIbowuOg0oBB5wJxs+t7J9Hg7/8EqDpgGm04spni2mw4pTte5aZu0RLdgSDRW5n1rjB36e54PKnQ6DWIal1lvEKHddIiIEzeoyM2bjSkRawa+/gk3qFjNrPNTIQBKKU4++WQeffTRMXny3Xbbjccff7xp3RNPPNHUpj0bVPztb3/j3nvvZcaMGYPus1wuD6hY8Xg8Ho/Hs3oYsXlz++2356mnnmKLLbYY9ZOffvrp7Lrrrlx00UUcfvjhPPDAA1x55ZVceeWVACRJwqGHHsqDDz7Irbfeitaal19+GYDp06dTKpVGfQxrOmd3fxSAX6sP05NGdpfSborgJNlyamtrnfIYjNWlWoyVOlGkk1KRmTTjdOojRjQFXAFoJMZmnSBlatIM0VbSZ8pEVrHcdDkDnA1YmlSpm4BFUTeRUSyqV4kKRk0hLEoarJVY7Z7Diux/qVoxQc86Vjeb9n4/VS3cGTWATnt16tTQGRd6icBA8+Ng0w7R5P3TsCgXbz25w2evtf9IplRUUrWiqFRUhDM6Z9+xTAUsMlylopXMwFmcDilurxAgbFPJaRaOpXAyQ2wtShgXod70vIM0scqUtcKUSNM0iG6dBkn7gyQaEt0wbbaL7Rat/VfXbewop0ImqmIx4r8cF154IR//+Me59dZbeemll1i2bFnTMhJ23nlnbrrpJr73ve/xxje+kc997nMsWLCA97///YCrNFm4cCHPP/88O+64I7Nnz86X+++/f6SH7vF4PB7PhMFSsJ+szDLeL6ADI1YsssqPAw88sKnsNCtDHWn65rx585g3b17b+zbffPPVWvqzpvH/al9katjHeuEKNlN99Kh+etIwrIqwVNIupaFQK6UMZKbMkcRkD5dVoVSAUysypSK7HadnjJlRs2YbnorYSiIUNRNg0k6QBpF3H3VlegHaCvqMax62VFfzcr0lcdU1cdIljBVIYQmkQVvjzkSMJMkMmwKMzpQKd7y28D4IYXnfUz/ie687bJW8N2sCNROihcz9J5nnJbYWkzb3cuZId8ZusvAo0fyZ+pcZ7ya2mhhDn9XEFqSVaUmozs/gdYvHQBW8CJmZVApLCU0lVQJblYrB4u/bMZhKMRSZaiFpBLYp4YSBrONrdgkQCk2IJhYBSpg2Xovm9MamM+Cs7DS9nvsq0suG2zNFCrcM8/Wt6/6KtZkRDyzuvffeVXEcHo/H4/GsUxgEYlRVbxNzKmTEA4vdd999VRyHZ5gc+fQPWX/SCqaWa2xarTNJ1ZmkakxXK5gsa0yVERVh6REBoZDD9lQMxkiUisHCsVaVSlF87mw+u9jyPAu/itLLoq8ia3Pea0vENnCKhXXKRWyDJvWibkKnWKQVIK7xmHRntDIhMYqSdIpdYgwmNbooKbHWkAiJEAKj01l8YVHKIKWlUo4pKU1PucYnFl3JxdM/NPAFrgNs1f9dHu36QO6xiKxybdfzf0+TBmk59UkJgPQsWeACz6xApp4EY0XDi4BFofOzegBdUF1V4bObBZdl60JhqQibV3xk1R9FhgqHWxmlotVnAc2qBfn9TsFQuGqjTLUIhXEVNtbk3pFm1aL9HH9RqaDpeqtnQjQuswUGqhnFh0iBidvcN97hWOOArwopsGTJEq6++moeffRRhBBsu+22HHfccSNO3vR4PB6PZ13FWIFYl3MsMv7whz+wzz770NXVxVvf+lastXz5y1/mwgsv5O677+bNb37zqjhOT0oYaKpBTEXFTFJ1elSNbllnsqyxvqoxRSoqQg0659uu/n8sGE+1okh2ZphVguSZFWkVSC2NNs6qA1qzKbTN4o9dmFDdNNZllFWCTGO5jXWVJFI1sikSWUgcEBYpXTWBlRaJQSm3VEsRpUAzqVSnohKml3vpUjHf0p/jg+qzq+09m0jUTIgREiRIDBhXmQEQ4fwOmXKRvcthoVW5BNdMz2YBVQCCEItJG4SplsoEWfh45t6KluPK9p01FmvOqmi+HEmsfbtt26kf7VSL7LiKqoVs8Vy4gK/EVYek71vT8xf+OAnhjBVWWqwEq9JFQvErbAW5x84WlQpotEoHF441HNZBtWJtZsQDi9NPP50DDzyQq666Ko/1TpKEE044gdNOO43/+Z//GfOD9DT49ibv4/xll9GtIqqqnho2+9N+IFBpW+7W+UeucxDP0AOBsexkOhqGkp+zKZBaOnXRa0rEKFdCasvUTOjCr6zKDZrZoq3MDX1KpHKydD/GUrr3OraKMoLYKEoyQaLygYW1gpLSaGEJK+6PmRBOag+UZkqpRiVImFbqo0vGrF9a7v5dZQ3iVfu+TVTm1L/hUjANhCIB3FzyjBU/zrcxQO/keSibTo0Ig7I2N3fGaCrCFtIvM8Nn1jXV7UcVkmkbtP/sZ7113P6aw69aGWxaZDjfm8G+l8XBRZbGmXU6zYo5i2WnoTBU0p4nodBI4RJFpTC52TiUhlgZEmURymZvFFaIxgBDkg4gGsdmRePdsmnLh8aLyGI/zYBpESHFgATOdZFBZoyG/fiJyEopFsVBBUAQBJx11lnstNNOY3pwHo/H4/GsrXiPRcrkyZN59tlnecMb3tC0/rnnnqOnp10ormesqQYRXSqiR9Yoi5hQ6NRI6MosV7YvQZHhqhGdwn9az+SGu7+RTpl07FxaiO5uTIEEqWHTTX/ENigoFc68uVxXMDjzn8QSyoGygRIGbaU784XGJdbJyhIqgSAwhkRqykHSeH3C7TeQhkCaAUrFBsFSJqsaPbKfsLo38dK7R/R+rC28pX7lkNt0LbuVxZMOQglDiJP5Qwyl3PqZRYE7MlUiUykGC9oqUowLz24XS0zb9djR1oy602/xuIuvo51qQSEsq7XstCISYiGpiIhYOiWuLGJiKQmEIRAGJQ2BcpdI69SKdBoEmWZmpZcDvqIiVSuKb6i1bhrEl5Suk4w4IOuII47g+OOP5wc/+AHPPfcczz//PN///vc54YQTeN/73rcqjtHj8Xg8nrWOTLEYzTIRGbFi8V//9V8IITjmmGNIEncmFoYh//Ef/8EXvvCFMT9Az0DKMqFLOaWiJHTuAdAIYgyKgT4LGDxaGDrPFw/1uOE8ZrgBQkOd4Q0+d10oo6NRYpqVhcZpd8eaDXNzZp8ppeWk7qtQaaNQQKNEL2vaVAxZktYpFUq644qtOxPMfBbZY2R6dlhWCYHQhMIwo7SCqozYIFxKj+xnVrC0MCduqU6by9LF9wznrVsnWW4rKOs6jrrmYDGx0IQYMsWiVFAjmht3NcyYrapEkaKKNpRS0dhOEtuGQbQY2DbwODo/b65MtFEtsv25slqbl9Vmxk1yNQO6RUxFxsQ2IJaKskyo29CVSSvpFItUtRDKYpTNfRW5aiEFNv2MO5ViwCE3l5x6hsRXhaSUSiUuvfRS5s+fz5NPPom1lte//vVUq9VVcXwej8fj8XjWIFYqxwKgWq2y/fbbj+WxeDow78HbCCox603pZUqln616EqoyoirrVGRMRcRIYdNwHBcIVSyfG67iMNR2KxtFrIRo2vdQ6oXBDKKeDDyGbN9Zw7Hsus5LTbNArIBarli4mG6JpSSSfFIwtAl6sOMTukmBAFBpfHc2sx8gSIRpSsWTWMoyQQrDJFUnlJqyjFk/WE5VRkxVvYTotGSyuZTS05kluhuFoSJjQpE0tV03WWvzps91pkzYhpphbRom13z219r2vFm5kE33NT6Dzd+h1nh5GKhWFNcVlYvWz3qralGkEZDV2CarDnHhYcapOdKFwFVkTN0ElFVCYiWh1MRSEQYaqSw2SEtOlVMqTKZeNKp407czVSiyihGZ3lbKtU9vh5AgLEIa7Drej8xXhaT09vbyhS98gZ/97Ge88sorGNP8RXrqqafG7OA88O5774KpLgchUJqS1JRVQkXGTFV9dMs63SJy3RbT36QsgVIiOw4WVmaQMFIjWvZDnNfbi0y+HXqgMxxTaHGbYhfTAfuyAp12KoVGJoIq7CtLJTRCDOgfkT9H4Y+IdtowYbqvskycLKlc58hGUqRIS/wsVRlRlgk9qkaYlv9VZURFRIRoKqkRNxRuYJH1w/B0Zofa1fy29B9EVlESmlgGSAylrLwSnXb7dQM2aJRgqjRWMpsqae350TrV0W6w2zqgaO2sW1xX/Gx2ypLRaRZHJwYzcuaDi0KpKZBPiXSLCC0kkVSUZUxVufLoughcyanSJFoilUuNtcpilWhMheRTIyLNscBNieSDComVFqFknmORIwRCStf7yRs6c9zAYjRVIWN4MGPIiAcWJ5xwAvfddx9HH300s2fPbq5b9ng8Ho/Hs04z4oHFHXfcwW233cZuu+22Ko7H08Ite+7DgX9eiJSWUGpKSlMWMWUZM1X20S2jwtmXQ2PTEKDRqxXtVIpOcix0lnIloul5W8v7Bjum4ratSkbrWWHr8eqifI0FodEk6X2FTpbCorMzB0E+rdF4HonClZkipAv2Ee51heA6cgoBxl0Phc73IXHmwrJMCNPpEClcl82KiJzqJOupadN18MxSJEMh2Hj6fjy/6I6O78+6ztuiy/lFcKpTKIwmFAlKWCoiQgnr1CF0mjyZ3TaU0EihwVrKwhIyPJUio51a0XZaroNS0bouV/hWQrVA0NQ/BGHBNjqgSgFVGRNZRbesp9MizsQZqYSS1ERCuZJTZdBKOoUisBglEAGYAEQgMNrm0x9WCTACK7PpDdw0iDaNJ7ZtFIyM7Lu0juJzLFKmTZvG9OnTV8WxeDwej8ezzlDs8bayj5+IjHhg8bnPfY5zzjmHb3/7274SZDUhJMi0HKwkE0KpURhqNqSbqKPRrzUsq1UVGIlnYjCVYqjtVNM8cLPvYlj7bNm2U5hRblqzlhgXFtQ4BuP6TuCUB0TSMp8uCUWjNJRCLwmdu1UkMjVXOo9FqmwIQygT91gJITrvLWKsoG4CjEwDtQwYkUDqzchill15qaEinM5REiKPkJYItphxAE+/dtuw37N1jaW6ikzLdKUwaSl2CYmlImMXnpX6LpQwdIuIWCS5speZnsuy+ZvUyXTcSa0oKmi6k4o2xOe5qFbIDgpgOyNna/+QTLXI/vxUhKFbRhgjqcq6C8qSCXWZUElNnNYKSqHzC0UlgzUSEzrx0yiQAZikYOTMYrxT5QIjcxOnUAqr27szXaR3FkC+7uIVi5QvfelLPPnkk2ywwQZsvvnmhGHYdP+DDz44Zgfn8Xg8Ho9nzWLEA4uDDjpoFRyGZzCCUkKgnGIhhUVbiUamsdSKbpEMqCAw2NzX0O4Mf6AXYXS+i1Y6Od1XJuK4tQywnfKSdTKN0zJTXZhfzlDC4HqIWcDkwWJAoYpj4HxvpmbE1lUcxDbI/StZdYgh9bSkjcvqJsAgiY27XjdAAEbEVKQitEmjERaW7jQQq1JQKoqvb8JqnhOEpUkXUljqMnaqkjCUZYzC0mdc2Wmp0IhLS5lW4RggoWY1CBhMg+1UqVT0VhR9FcXS51aK38lO4Vytn/vWcLiiapHdV2xM5p6HwmfHfc7iPCwroiojjBIsV5W8PLoSJlgriIIQWwIbSqwWmNBZJYQWznehbVoVIhrKRVodglTtg7Ky0tSiULEu+yzGYS7khRde4BOf+AR33HEH/f39bLXVVlx99dW85S1vcbu0lvPPP58rr7ySxYsXs8suu3DZZZex3XbbDfs5RjywOPfcc4e13fe+9z0OPPBAuru7R/oUHo/H4/Gs/Yw2lnuEj128eDG77bYbe+65J3fccQczZ87kySefZOrUqfk2l1xyCV/+8pf51re+xVZbbcXnP/955s6dy+OPPz7sfmArHZA1FCeddBK77LILr3vd61bVU6zVHPi/C1GBQSpDVzmmlGZYBOn8MbhKhcgqIiQ9aQ1CpyZexbOmwYJ6BqPTXHEnRaRVtcgYaTbDUCpHseFYplbECIxtVIUUQ6+ccuFul4QLxMoyDtpVAYRkuRcGLaTzSaR+i9g690beat24y7oJMNZlZyRWuTAubdFSUDapD8C6yhGNQAqopO9jbG2eq5G9txrLptP359lFt4/ovVtXOEady9ej+dRl4FqCYwhFiVA2WoVnaoWrwHGVQTUTo6Qhti6crG5jgjaR+O1iu6H5s5l9HzK1YjAvRVPY1hBKRet9w2mpnleHQN6cTAJlYanKmG5Zx1hJj6phEHQH9Xw/vWGMtdBXKqGtwIQWocEGApPgKkRCULHASoGQqXKR+iyEFKAkKIXQWbg+AxQMIV0uuPW5FquNiy++mE022YRrrrkmX7f55pvn1621LFiwgE9/+tMccsghAHz7299mgw024Prrr+ekk04a1vOssnA/O1GTOyY48x68lQP/vJAg1ASBphwmdIUx3aU6FZXkJYuZCQ1cAFTW86DIYFLscDHpj+Rgf9w77b/T43SHIKuO+y8MhIpLjHFLYVAR20Y30yxxU7f8UKtUKgc3LeISL113zJJI2i5ZeFUpXZyZ0wVvxVZRMyE1E1K3YTr14ZbIBNS1u1weV+hNyvSZEnUT0mfK9Joyy00Xi3SZJUYQWUtkLbXUgBrbbNDkXu/G0/cb9vu2rnFS6WyWJxWWxRWWJRVW6DIrdIU+7d5vYyXGyrw3TGwVMSpNY5VpXxnT/jNrTb60o/U7kHVAzZYs2TNbVGGRLUtG8fGt+863GeYgXYlGV9duoekWLrm3KutMUjW6VEyXiqmomK4gpqsUE4YaGWpXchqSLzYAEwhM4IKyrBBuUJFOhbjS03RKRBWuAyK7r8NAbV0jS94czQKwbNmypqVer7d9voULF7LTTjtx2GGHMXPmTObMmcNVV12V3//000/z8ssvs/fee+fryuUyu+++O/fff/+wX5f/1/V4PB6PZxwYq+6mm2yyCVOmTMmX+fPnt32+p556issvv5wtt9ySu+66i5NPPplTTz2V73znOwC8/PLLAGywwQZNj9tggw3y+4bDKpsK8awcMnDdBYNAEwYuEKsaRlSDmGpQpzuop2fOCdpKjJBpV9OGQXJlYqBXxlQ50n0PMGEOEgTUqmh0MsMVpz8MNCkVJr8u3fWWqO5m8+bQlEiI0i6oWfhVNt2RTX8kRhFbSZJOixgrSKwkMYrESmraVVH1q5Au5Tqp9qh+QpEQWYVSfXmfF5MaUZVwKcjhyP9Z1zn6dUggTB5ChgEpFRiIhftXltYQW4UiSC8tsY2pY52JEyiL5p/Gpmm9NqrFgFLP1vsHme7oVD7daf9F2oVvZdsW+4dk2zqTN1RlhEZQlXU0kkmqcYbbF5QAKJdiVy5dMhjjFAoRunJTk06HoNxUhut86pQJodKyUyXTGtXEHYiUkJWfyqw01fcMGQuee+45Jk+enN8ul8tttzPGsNNOO3HRRRcBMGfOHB555BEuv/xyjjnmmHy71kRta+2IUra9YuHxeDwez3jg5pJGtwCTJ09uWjoNLGbPns22227btG6bbbbh2WefBWDWrFkAA9SJV155ZYCKMRhesZhgLNzhQA557CYCZZxhM9CpWhEzSUXOWzHgbF4SWwhxXRozBjOBjQXFs6hOZa1F2ikXrapFq1LRzhxnCttmIVhFs6ZTEGS6jcyvu8e2H0u3vqfusa1nmUVvhjsXdMqIU0SMFfSbEG1FrlAYK6npgMRI+pLQlfEZRUUlVFPDXJ9xQU411esi2jFpp9r0xM42PClyFSpLawORDjBSEwhBJCxGCKdc4MzOUpjcaCsxRDZAYolQzoyb+m2k1YSioWO1mpHb4Uo92983VOfUdrQ22Ssey3DJVAtoVk26RYwRwpk4kVRV3X2GlaCinFJRLcUYI4nCELTAhBKpM6+FQCfp37W0o6lVAmFEoxmZVCAL0d6GRjOyDsFZ6xqru7vpbrvtxuOPP9607oknnmCzzTYDYIsttmDWrFncc889zJkzB4Aoirjvvvu4+OKLh/08q2xgsdlmmw0Iz/J4PB6PxzM+nH766ey6665cdNFFHH744TzwwANceeWVXHnllYCbAjnttNO46KKL2HLLLdlyyy256KKLqFarHHnkkcN+nhEPLJ577jmEEGy88cYAPPDAA1x//fVsu+22fOhDH8q3+8tf/jLSXXtSfvyGg/nAc9+jFGgqqVpRUTFllVBVEWUZN1WFZBRvDUetaBcLPFJaVYtsXZGBbdNb4r3bHMNwlQrnsWioFXHqech9FTS8FVlp54DXMEABav/e5QFbwqBwEd3ZYw1OnajrIPdSJEa660mAtpJa7NSMug7Sf9cSxkp6gzKh0C7sTNaZrvrSKhVXdlrCON+FdXPk603bm1cX3932GNd1zp38Yc5d9jVM5rGQkBgDEmLrvBZK2lypiK1CCUNsJQqZl51KYQiH5bxpJi8Pts0KR3OpaXtVsdhyPWOwGP6hmps1nmMgFWGIRUJ36rFwQVkueM8pFpJKEJOEkt6wjNESG1pM0mhIZgJXtS3SkCys81nkyoWSYGRztLdMG5KlQVnCptHewq6bIVmrOSBr55135qabbuLss8/mggsuYIsttmDBggW8//3vz7c566yz6O/v55RTTskDsu6+++5hZ1jASgwsjjzySD70oQ9x9NFH8/LLLzN37ly22247rr32Wl5++WXOOeecke7S4/F4PJ51jvHoFTJv3jzmzZvX8X4hBOeddx7nnXfeSh/XiAcWf/nLX3jrW98KwA9/+EPe+MY38utf/5q7776bk08+2Q8sxohKkDSpFd1BnS7p1IqKcEtI2iIak56lr/zQd7DgnU50yq8Yan2rcpE9f3Fda+UHFJuMDVQqsiqQCNVRqWitCsmPaxivNVOHlDCUhMZY2aQYZdHdfbpEpFXuqygqFVEcoI2gz5YohSG9gXvmWhgSSE1fUMpd+j2iluZluPwKZS0VodM0ZMv0aXuzyKsWbYm0wkiBFAZjBYHQripEOgVC5VUhLp5dWesusWiSpgqkTsrfUN+VgdkTgwdsDVelyLcZRK0YTm5NVQi01FRMQpT+nsTSeU+6UsWiGsTERhGEmiiRLigrEYjMZ5E434UwJlcprMoivW0j2ltKhLFYaWjqDOhxrIVvyYgHFnEc547Tn/70pxx44IEAvOENb+Cll14a26Nbh/n67KP59JIrqAYR3UGdSapOj6pRlXUqMiYUCaXUyJktMHgJZ0ZxENGu38BQjCZwq/Xx7QYZnQYVRaMmuBLMqDjlkRo1tZW5SbN5gCGaEjiLKDrLsBLXn6XZuOnMgDUbuGCsNBCrlgTUdEAtCdFGoo2gngRoI4kThdECHSsiFVIruR4WfUlISSbUTcAkVXPhTcEKemQ/ytp08FgwbwqD8QF0HZk/7SQ+sehKAuGmQBLrBhRJPphQrkxYOOlfN5Uou4GmxjKM2USgcw+RzoOJgdsPx5w51JThSFBCUMFQETGRUGnvEIWRkrJMSKSiEiREJiYINDpU6MBiQotMRF5uakKQcdbtNB1cpN1ORToVglJg0/RO4QYcwlqsMSAkQpo0gXMd7hmyljHictPtttuOK664gl/+8pfcc8897LvvvgC8+OKLzJgxY8wP0OPxeDyetZGxCsiaaIxYsbj44os5+OCD+eIXv8gHPvAB3vSmNwEuKjSbIvGMDZPCOt0qYpKqN5k2KyLKVQvXB2GUBswW1QIGOWsaVTx4g2xE2zkOPL1/EKNmMQQrtiq9DDqqFEUlo4jE5Nu0GmJVS3S3tu4ysoqaDYkL8d01HRIZRV075SLR0pXrJQprBEnkLq2W6EhgEsEyaYiN5NUgITIBk1SdOEzLIUPXgTW0ipLQaAQhrhtnCUN56t7Ul/jpkHZcPP1DnL3465QQBNo0erRIhbS28dmxwikXVoJIP19pqa/BEIpGZVu7YKxOasVQ93VSKIY7ndk+dnxk0zMVIakINxVSlfW8a3KmWJRkQjWQVEoJ2kiSMMQmNo31dqqFDgUycLHjVoE1aXa4lW56RMs02lultZUtZafWOlVjWBOSayGr2by5uhixYrHHHnvw6quv8uqrr/LNb34zX/+hD32IK664YsQH8MILL3DUUUcxY8YMqtUqO+64I3/84x/z+621nHfeeWy44YZ0dXWxxx578Mgjj4z4eTwej8fj8ax6VirHwlrLH//4R5588kmOPPJIenp6KJVKVKvVEe1ndbVwXRM5f9llTAoTgrQ7Y+viDJwJFaEJhSUUEK7iQKyVpd1521AzqZ2UCmhv1ozSLqPusr1Koe3ATqcOlXssWhWNmm3sy9jGnHzWxKpu3GVkXJlprBWJVtSiEGOE81kkEqsFJpFuLjlJ56KTgJqyaCMpKU1iJNVgkgtwCgJ6VI0wbYAWo6ggiK2la8WtxMN549dxajpIG/RZSgjqxv3cSeHKTEOh8zJhID1jz/wWrjupxhCKAIPJO5xqa5r8SK3qw3BKvdt1GF4Zv8RoFESJoCI0kUyomJhYus+yKz0VlGQFoxLKQUIcKOolg00ERgtMCCKL9i4JbD9gaUR7K6dIoKwrO7XWqRRCpibOloNJvRbrns9CMGwzT8fHTzxGPLB45pln2HfffXn22Wep1+vMnTuXnp4eLrnkEmq12ohUi9XVwtXj8Xg8ngnHWjoVMuKBxUc/+lF22mknHn744Saz5sEHH8wJJ5wwon0tXLiQffbZh8MOO4z77ruPjTbaiFNOOYUTTzwRGLqFa7uBRb1eb2oZu2zZspG+xHHhkMduIgw1U6v9VIKY9SpZ1YZFChfYUxJJWg2SEKLpFgmhcM2GVqbx2GCsTPlpO9qdeww1j5yVk7ptm5WKxrpmj0WmVsRpqFGcNgvTLYqDe/zAGcBsPrxWKEnNFA5DVmnibmeNyLJo6Kz5WKRd47HYSOev0NI1b4qlm3vWEmtAJNL9IBgwtYDICFYEZbRxJX6JUSRG0aNqTA9WsE3924O+X5721FPFIkhjpRPl/BXSWEzqlckw6WfIWJEqZGBEsexUYmi0TXc+DIO2bhvdwScxVJO9wcqrZctthljfbpvO97vjKgtLhVQVE4pYNipEulTkor3DiERLegONLjnFzYTCKRZZtLdyceZWZdela5+uDCLzVxgFOov4bhOUtY7aLNZGRjyw+NWvfsWvf/1rSqVS0/rNNtuMF154YUT7ylq4nnHGGXzqU5/igQce4NRTT6VcLnPMMccM2sL1mWeeabvP+fPnc/7554/oOCYCShkCpVHSEEhDIDVKZLkPhRTGdCpECZfGKHFeKXc5vMHFgLr3Dn/oRzu4GGxQ0a6c3TRtN/iAIkvWHDAFkk59ROkfjeJgonWg0P6Yi10s3TbZHyCdyuZZf5DMNJoYRZQubirEDSqyKRCrJRgB6RQIGndpwfa5EtS+oESiJaWgSmLcIGZGqYuy9JMeK8vXNvgAJ730XQLp8ixKaWdZlSZuhla76Y+s7JRC2WmaHyKtpiyaWxO0G1TEBfm++D0sTo0UTdKtA4rs0YsW382kqXPbfneyT6wa5GueDWQMwzPQVYQgTstOXY5FQDkdWJRlQqIUk8KIug4IShqTSGwpza/QoEuueamVILJOp8plWzgTpyrkWRiQAmFkc9lplsqZTYesSwOMtVSxGLF50xiDbtNA5vnnnx+x58EYw5vf/GYuuugi5syZw0knncSJJ57I5Zdf3rTdSFq4nn322SxdujRfnnvuuREdk8fj8Xg8q4Ux6m460RixYjF37lwWLFjQ1LRkxYoVnHvuuey///4j2lenFq433ngj0NzCdfbs2fk2g7VwLZfLHVvGTmTCQFNSmlBqSlITCEMgNIF06YtSmFSlSBMgsZjUF6Vw5V4SMUB6LfbyaGU4pW3DUS2GY7VqkooLpszG/Y3Qq+LtTKUABqRqFpWK4vREQ1lomDaL0xm6zZSIKXxBs8c3nr+hXBT3YaygX4f065CaDqgnLm0z0cr1VtACm0hsIhEG0AKMQJhUsTC4bpFGosOAyAr6K6H7t5eGFbpCVUbDeHc9nYgSRV0Grmundv1BJJaaCfNeIaFN0uRN0zQ9UrHue2cwSCTamialIVMrsvLUjCy8LP90tfz2Gyz/WHRXx2Neaho/y1kpeTEET+I6GbeiRON7phDDUi0qQhGTUJEJcWrgrIgYI2UhgTOiFgaEoUaXFNoITMmlcLqgrFTBsE6lyPqF2NS8KYJsKkTmUx952Sm4deuiWrEWM2LF4r//+7+577772HbbbanVahx55JFsvvnmvPDCCyNqqwoja+GakbVw3XXXXUd66B6Px+PxTBiytumjWSYiI1YsNtxwQx566CG+973v8eCDD2KM4fjjj+f9738/XV1dI9rX6mrhuiZw/RaHc9JL36WiEkpKU5YJZekCsCppMFYodN71soiEJrVCNvkEhu47MBidorbdfcOj1VcxHKUi61LqrqsmlaIYgBXTCK0qKhWtKgU0TJfGigGqRP6aCh4Kd8wNhSK2isQ6c2a2Xd0ERCZoGDcThdYSk3orrBaI2PkphBYICyIR+dyq0ALVL0hKCg30192ZtJKGFUmJLlmZqBVlawTXbHIkJ7xwHQZBTTd+7vpTv0WfKaOEIbIxkoCabfgwIpsgMdRt3OSzKAZfmbws1Tb5hpx64JSDVwdRJ9qhlt3B4kkH5d10MwN3CReGp2wjbrzpt8AWn9t2VC2Kng9oBGXFwvlNsn41FRk7pUeVmBzWqZRi5x9KhOsbUnJlpzr3WghIzZttg7KCAIRT4ISQWHQjKCszdYp1rNPpWuqxWKkci66uLo477jiOO+64UT356mrh6vF4PB7PhGO0Pom1xWMB8N3vfpevf/3rPPXUU/zmN79hs80247//+7953etex3ve854R7Wt1tHBdUyh2M80Ui6qKmtSKUGgkJi1BbTx2OOWm7aKDx6KkdDBafRzFMlJoViraRXS3qhRZ+FWxYqOoVGRz5Jkfwu1bNqkUTYpEG3UCIDYqf1zdBGl5onu8uy0wCBLjOpnWdUCUuIoQnfkrtHAqReKUCnTqr9CpgmFx3gsLsuZam9UrIUKAkpblSYWyTPjjpA/xlvqVq+YfaB2gLwqJjURiiQJXvRNI16G2T5WQwlAWMUio2Dj/ftWtBiwV6z6BRSUw81c4r0WjRLpvyT2dDmNELDHVtBrMfeeVtcQiSZvSaTSGUho3D6S/BemXqaBcdKKobpZRqWKRoIVMy00DqjJC24bXoiuMnSJXkiShxSQWUxKYBHRJIGNQ1rqGZEGboCxrnWqRJK46BJVGertqEYz3WawtjNhjkZWH7rfffixevDivEJk2bRoLFiwY6+PzeDwej2etRNjRLxORESsWX/nKV7jqqqs46KCD+MIXvpCv32mnnfj4xz8+pge3rnHp+sfxxb7/pku5VukVGVNOl4pwTcdUWh2SRVBrO/DMZKhY4bFQKzrNgLarNGn1VhTViuE0EyuqFCZvc50pFkGTn6KoWLjnGqhS5Pe1VHhk9xkkdR3kx5UpFpFx7baTdPvENK5HifNZ6DS/Ai2dMpEIZOwc8CKvCKHhscjOLvsFINH1gLpwHotlUYWSTFiiqzzRdTRb9X93pf+91mX6ayUi5T59sVFESlFKFYvuwIXp9cgaytrcY4GBinIei0aexcCfy1cXr5omcFv0Xc8jlWPTYDztGg6mzegiq+iWUZP3RllL7DQApHDei8xnUaTd74ISgoqwxEKj03hvIyXLZQWNYIUuY5SgO4yIkoA4UcRZvHcoMCXyS5mkFSEWbOC+bzZwkd4CIKsQsdad1grhci6yahEjEXIdCsvyHgvH008/zZw5cwasL5fL9Pb2jslBrctMDmqUVUKPquUDim5Zb/QJQQ8wb64M7RL/2pGF/bRLBoThd2NsbN/oTgoNk2a7wKuiMdM9trM5M7LBgOkOYOD1lsFE9ryxVU2XWZqmM/2FTQOJxKQJjVYQG4W1wpk3E4VOlOsJkgiIC1MhGre0DCiyN1MlAAJTUSRYatIyf1qaLJuki2eluGmbgzjwzwsRwpKEknKgKCmNQdCbuNL0aUHoBhMiygfusZVpmJYrO332tYWr9biX6Gr6vU8ag4s0HC82yv0WZOF5wubG7jC1l8r0gzac3iUhgoow6DSF00jpLoV0vUOscEFZ6QC6PzR5UJabCkk/3zoNgZMCYayrJNWNEl4RBI2BhXGpnFbr/NINNtYxA+dayIinQrbYYgseeuihAevvuOOOAZkUHo/H4/F4OuADshxnnnkmH/7wh6nValhreeCBB/je977H/Pnz+cY3vrEqjnGdYnLQ70ybMsrPUFw304hSeubizk4GxnIXZc920xzD6U+QkY04B9tmMLWiWHrX2vejdfrDmS7TqYxUpajZMJ/2qFkXH9/OmJmZN7P72pWLumNoqBT5tkhi09hPYhSxlWlEd5CrEzXtgq90GrUda6dSZCqGsYJ6FLhpkMhNg2RqhYwFMiFXLMgMmzTUC3CXNxw2t+P76Rkduj+gLkBrSRJqQqXdWXhQAaAvLKGkcUFZ1uZhWW5KISG2hn+Z8W6efO2W1XbMryY9SGGoiCS9jHPFoirrlNLfhSzqX+KmTTSaUBgkBqzrfNwOmQbrgQvKMjhTaEXEGAQVGaORlGWCRlJVEX1hSC0JUaFBJxJTsmgtnGKRTvXJxCkOIpAuCytunL+KOJ0KyXuGmNzEKazFGrd+nZkO8VMhjmOPPZYkSTjrrLPo6+vjyCOPZKONNuLSSy/lve9976o4Ro/H4/F4PGsIIxpYJEnCddddx7vf/W5OPPFEXn31VYwxzJw5c1Ud3zrH++QF3CLPIhRJHoxVEVF6mXY3Tc9IFHbQkrIiQzU/Gqh4DL2vpnUtq9qFYMW24avI1reaNWOriGxQUCKCXKFoUixSL0X++DQGOSu/KxoyM6NnYpXzZlhRUDZEUylp5qeo6YZi0Z+E6FSx0FY45cIIrBUuMMgKd/aWxXcnApmk3orMX5GAjFtUCoBMzZRw2A/v4UeHe9ViVXDbLvtzwAO3YxJXDtwbOMViWegUi7oJO8anawuhaA7GWh28XJ/iSmHToLyyTAhlQkUk1GRIKDQ9qh+FoSJjp7KgqRCn5agRZpi/D2UREGMIrVM9YpxSWhLuOZUJ6FKuHL4/iFGhdkFZJYXQAlN275MwAh1ZrHCKHUhE6JQLjDNyCqMapk0p3R1C5GFZSIE1EhcxtpazlioWI/JYBEHAf/zHf+Rtyddbbz0/qPB4PB6PZ2WwY7BMQEY8FbLLLrvwpz/9Ke/n4Rl73m0u4bfBf6QqRVy4TAiFydWKIpkSESIH+CuGUitat4P2gVutSsVwWp9DIwQrW1esAslKSovNxGLr2jdnFSI1Ew4Iv8rblpts+8xjkbWNLrRJzy/dYxKTeSxcVQeQqhMuPCnzVcRakVhJPQ6cYpKkTdBSlQILOlHO4J641ugilojYxXg75SJVKrS7BBoqRfFSusWz6pB9ClsWaAtxxVWGAHljPyD9jiVp4z+bNwFzIVh2tfosTiqdzeeWf5WKigmlplvVCaVrTphVjRkEodDENsg9WUjQ1jUzBI0RwzuDDJGUhAvgCm1WheJ8JqF0DRErKqYrjAkDjQ4lOrQYbdGlrKQaTE2AAKPdpUxkI1o8UtgAhJKNxmTgArKsdGFZYh1RK9ZiRjywOOWUU/jYxz7G888/z1ve8ha6u7ub7t9hhx3G7OA8Ho/H41lr8ZHejiOOOAKAU089NV8nhHCuXiHyJE7P6CiLOK9dr4g4r1dXLTqDtoCwhAWFYbBW50PlVuTbDbPio0gntaK1BXpRrci9FYXMikytiG3gVIVC5Ufuq0jzKGomzHMn3PMVcysaSoU7PpF6LGQeyW1abmcVIPVUsdBGEmlFol1ctzVOsbDGNVqyWrq547Q1uoga1SBCtwnDsu7ETNCsYmbKhWfVYQVYaZGyoUbIluhCleZBlNII/SKuPfrq9Vm80t9NNYgJpKE3KFGSzmtRDwLKMsFYSVk2Z90AVERMBae86EIceRael3+/s5cvDBLhWrKnIXwloamlkeLZ0qViKiqhHCYkWpKUDEYLTMlVhBgNOhRYYV0wHKBDicL9Psgw1UKVct3LpPtuCiGxwqa+C4GwYqKq/GPKaNMz15rkzaeffnpVHIenhWxQodJPTjb1oZHoNh1OddrxsDV1U2MHnQIZKuBqOIOIAY9Jy0oHrmspMy1MgWQJmjVbQltB3YbovP9HkHYSDfPBRzZAyfp21E2QmzOhMZhw14um1MJUSGFwkaSSbJQNJpIAbUSjY6mRJFGANWC0dH+ligOKWLofCS3ystLigCIPxsoGGhI3kJCNkw4r4JCF9/DjA72Bc5UgrctekhYpDUJY10m28OucTSdIsoH8wC/A6pwO+crMYznhhesIlKYWBpSkpqQ0deMGFkDahdQNMErpVA5Azbj+J7HVzuSdnVQImgYXEoG2FiUEIS4ULCtXdeXtBikMoTSUbOJ6GQUJcaCoBwZCF5QljKsi1WVAuBJUK0HGAmME0rhOpySpSdNY8ikPmZ65a5saOaVb1vaQrLXUvDnigYX3Vng8Ho/H4+nEiAcWCxe2j7UVQlCpVHj961/PFltsMeoDW9fZrnYNT3Qd7UJu2qARhIXhqgGwDWl3OIbN4Zgxiwzn3EE3qSWtUyBpz49UrXAFclkfENFUWlqM6M7LUtPpj0yxMAXFol+X8r4dpsUFaVrmIRtTII0le6w20qkURrpSUiNJtHJyb+LK4GwinFGz2KnUFEpJCypFcV1GllYsUv9a8b4JOmW6VnDrO/dl3oO3IaTrHqtk2iUYF9mtMIS42PxiEJ1KzY/PL7pjXI57aV+FQBmiUkCoNCWVQAUSJSknCUYJyjImc0jGNkhLTxXKGmrWlXRWRCaN2QHTbrlqgXBTIdZQEgmxUPk0SKbiVFRMWbnpGBkajHZBWcI4tc6qxudYtP5oZD1BVGbUdGWm7q50OiTbdF0JyVoLGfHA4qCDDso9FUWKPot3vOMd3HzzzUybNm3MDtTj8Xg8nrUJwSg9FmN2JGPLiAvc7rnnHnbeeWfuueceli5dytKlS7nnnnt461vfyq233sr//M//8Nprr/lOp2OAEjbvZlpELL0Ts/QualZSt4I+I6hZS81a6tZ1YzSpt0Jbtxiaw7BGolY0P1YMurSSqRXueqoK5F1KGx6KzLCZqRJNz98hlruuXaOwugmIjCLSAX1JiZoOmpYk7UiaL6axRGmJaaQVsVbEJvVTaKdUuMZiafiVlqAbagU2UyuE+3HIu5c6/0W7mnPnwwCZluZlSke+GDj4lnuG/Gx4VhJhEdJ9p4LUOyBbyrcraQiVWHon8dK7Wbr4nlXWxXQ4xLEiSlQeK6/zz7D77LslpGbTSxNSs6XcCB1bSWxFQcVsNnEXfVgy7ZDqPBbOf1ISSbrOlZyWZZIqJxohLciBCkiTryizduQeD9GkVDRdhzwkK70x1m+nZzUwYsXiox/9KFdeeSW77rprvm6vvfaiUqnwoQ99iEceeYQFCxZw3HHHjemBejwej8ezVuHLTR1PPvkkkydPHrB+8uTJPPXUUwBsueWWvPrqq6M/unWcf+m7lhe6D2fmihvb3r/clPJ2ySGGUqpUaBrlp8OpABlu5Udr4JXs8Jkulpi2PtbtN43TThWIDCVcOZ+xqrAvmV8W1YpGuWqjaVixuqNYRjjAY9FSDVJsf+48FqmvwqRqi3Xx3RnuTEykKkR6masVNHssiopE9niT/h5kh1hUNNI3/eBb7+Gmeb46ZKy5dc48Dnn8ptxjEaSBc/ubL7oPfDzkLlY72WevyRNkJJFwTfMCq6iZEHDekdhm3grXvC9CIbGUrS7o7qKt1wJSC0Ta2KxmTe5BKX6ngrSqRgxSLymMRRgLxg7YxAqBEML9iGSVILLwRzarDFnbg7J8VYjjLW95C2eeeSbf+c53WH/99QH45z//yVlnncXOO+8MwN/+9jc23njjsT3SdZSNen/Y8b5lpoISJjebxUJTQbu+H6IxkGg3cMh6jIwkk2LANrbz4KJIa65EnsMnXIU9Nk0/tBCnP4LtHu+uNw8uMgJhSJBIYfMf34GvaeAPdGxUbtq0VhCnl5D+oNtGlV5OYUCQz1JlPxD5NElju6wXiJVppaliwKDCTaU441vTfj1jzo+3Pni8D2FE/GS793DI4zdh08+iTc3GgTVuUC0siVXExlAjpCxDMBBJhcRNhSgkRuhCboUlH1xA0wBDCVDp+mwaNsv0yEpzA2Gc+TWbBhGuP0hxPyIbx7QxMLsNWqZEyAycqZkzHWh4A+eax4gHFldffTXvec972Hjjjdlkk00QQvDss8/yute9jp/85CcArFixgs9+9rNjfrAej8fj8aw1eMXCsfXWW/Poo49y11138cQTT/D/23v3ODmqMv//fc6p6u6ZyQ0CJAECAQVFBEVcuYgCu2BERRB3FXC5KKsiIiBykWXVoBEUBfGOV4RdXFYFXETl9gNkUXC5fnUxAio3kXBRICGT7q465/n9caqquzOTMJMMM5Pkeb9e9aruqurq6pqp7lOf5/M8j4jw0pe+lH333RdbVFE78MADx/o4lWFYGho4I7E6JxlOBG/b1MQTjMeaoXftDsESlYqRdkZdFSsWwuqmVBocgsdUUmoNT1sALCkeTLEMsBLAgJNAwFVKRuf4Y7dHK6UyYcEWakSA3HSqaPYe51C1Qop52blUhGoussI1W6oPpXrc9YVQhTxCRxWWsgBWGfIw8VyZInIyRJHoDocwjEqiKPSmSuchmpFtiEbmsrxlJg5HoBlSnA00JcUhZJKTGqkc+774x4zfB52wiMNgTaksdqkWxdwaISnCSMbGcMhwlWONl+K6kGjcLCeI8ZZuudN25V5bixGZrL+ZY4pW3uzCGMMb3/hG9tprL+r1eoyVKYqiKIqy3jPqXJ4QAp/61KfYbLPNmDJlSlXi+2Mf+xjf+c53xvwAlZWz7fJ/5xnfzzN+gGd8P0tCg6WhzpJQZ5kkNMVWUyaxzHYmZpWFrrpTS9eEFcshl31OHNEE1ilZHj0itljXXV65NKY2ijLLDZtRt3k1pTZUjxMTSKwftv/DisWwKrWCjrfCF2mwIhCKZeXU44dYCWV3UnFSzLuXrTDZTlPHFe84ekp/K0pBty+kVNrK8vS5xEJxLZ/QkpRWSIs+O7YoPtfpnzPcF36VSl6kpndvU3orymuqVDFq1uNs1AVNj8+CSrmIBeSkSLEeauAsPgzFRQciiAQIAQnFUa3r6aYrelBWZ5qEjPqvtnDhQr73ve9x9tlnU6vVquU77LAD3/72t8f04BRFURRlnWUdHViMOhRy0UUX8c1vfpN/+Id/4Oijj66W77jjjvz+978f04NTnp+dW9/kpvRDDNhYejdgSU1OCHHukOrOv3yMhBjeXCGQv7L00jXBlaYB6LoIQlEm2eIleizKOyNPbKCEJaaXmuidsCZgJRDE4iSWHM5CiHFln5BbDyG61bGQ+zJNtSvNtfRUFGmrpSLhQ8dvEYLFV2mmHRd+d7op0PFPlJ4J2/XxTGGm6I47D+O1wHdl1/k4kXXO08EXXcslh2vKqTKU8n/5E9M+2LP8In9G9CWtQKlaBGSVqkVJLGUesCKVmlhma7ki/bTmfGzmZiGUmaLDfGWIITYfExAbPVFV+DwUakUIiPfx+XpkMFpXPRajViweffRRXvziFw9ZHkIgyyZhEriiKIqiKOPGqBWL7bffnv/5n/8Z0uX0hz/8ITvttNOYHZgycp71fWQSFYty7q0tWih7GmQxS6LIY/emtzjOcOH8VakVqyqM1U2ZDdJ5Xczk6HgvYmnlIDYqFkV2SFRXEryJLdJL9cIR8MZWCkZqfKyf4zrHmxTKhUUIRSZKd0aIyIoZIaXXole96PFYlJQp92VaiDFIIUyIFQwmihICUig1Ygy2/Liu2EeXkcW1VziJ5R1M4bM4/KvXctEHVbVQ4OJ573zebSovxHCqRVF2P+26zV1Z0byySBYwxPdUEmtZxBLpJIKkhpBDXifWpJlicU3BWZBMMK4omAWd+hUi4H1HrfA++itEkBDV1XUarbwZ+cQnPsFhhx3Go48+SgiByy67jHvvvZeLLrqIK6+88oU4RuV52D+czWXhX2nYjCCGho19Q4O1ePLiB74INRTdHCGq7m6FL5Y1CX9YM3z66YoDjBXfw1Yya4jHaSzEcleFBBsIJoZA2pLE9FKxeBMLZREgM1FizWys2plYV1XhXDH1FOgxcK44kOgxbEJRXRAEUxUCMhBHFFaQoldINbgoQh6xGlZcjxT9QTzYrJjnYNtdcqaUqXnxsfVM2hiqMjn5Z7uAn3Fydd2sDt1F87pTTVObk4qj7nIGkjaJCUzra2KMsKSZEIxDrMW2i2uxbYq0a4s4weZCyGIoRqwFU1yZPsSpGFBEM+d68o+/pj6JSXqaRh0K2X///fmv//ovfvazn2GM4eMf/ziLFi3iJz/5Cfvuq3dWiqIoirI+s1p1LObPn8/8+fPH+liUNWAw1ArpP+CDjWGCEMMeqfU4Y2K4QSDDEhAcHoxhxbTQkaoWw23brVqU68oOp53nQ8ezzgSQGL7xWGxRPCsUoQ+P4Iv1AIGAxVK30deTSoAAqfUEMdRsrAMcxAwpES4rhEaGhEFW9oErA6YgmELJMFGVoEu1KMt6F51OjY/qg8k7SoXJ4zxpSRX2qNLyymJbvks6VpQRMlwYpCT28YGaMUPCIN1KRQBS40nFM2BbAEy1zbjMx2urZRM2bAxijNBspbRNTKP2zRjmsG2QIm5qM3Btg60V4ZWk6BQMMcW0KwRCsX8kxHDIOsy6at5crYGFoiiKoihryDoaChnRwGKDDTYYcXXNv/3tb2t0QMrqsdyn1d15w2YsM3W8sTSsjebNwjTpKbsUdu5quvWDwOhVC+jtfFqaxOLzoUrFcA3CoKNaUBg5y86n1oRo3izWu9KHIYWB00IWHNiUJHhwkIstCgjZWP67u7tqWcZ7JWpFx2sxzEGuYN4sVYzKcOmLLqd5p9upCb1KhcnjHZzNBZtJ9FyEqFTYQrHAx5i0ooyWKsW8SDMvCaXTuItSpejWOGwxNYwH26YprXiNOUcafLzmgJZJ2LA+CMBzfXUwkFkhb1nEgs2ix8IEgy0Kw9msaCyWWExmwRiMsYSsSDMvVYr1QK1YlxnRwOK8886rHv/1r39l4cKFzJ8/n9122w2AW265hauvvnrUjccWLFjAGWec0bNs1qxZLF68GIjNzD760Y/y4x//mL/+9a/MmzeP4447jg984AOjeh9FURRFmXSsYShkrVYsjjjiiOrx29/+dj75yU9y7LHHVsuOO+44vvKVr3Ddddfx4Q9/eFQHsP3223PddddVz51z1eMPf/jD3HDDDfzHf/wH8+bN45prruGYY45h00035YADDhjV+6zrLPc1ghRtwzHVnTwBmialYbPYCKzYvkolq1LKihXVP2qvEjESutWKUqko25yX9GSHSJm1EcsOh2L7+NgW2xSNxrpwZWMyE9UYiN4KAmTWVoWyggmxwFb3MdJRI6QoiFUWxirViu7CWBVV57FiWZk5EuhqlR79FKVC0a1WlJMNXWpFHtNNbRawmXTOfaGKhHr83Mf868/52pn7jfjvoKzfpCanZvJKrQgYMhxNSfAY2gQahJ7rsjeFXArFIuAxNEy8xryN3ytp8JDEZmctSbEmsLRdxxph0AjNtsNbS952UaXwYF1UL1zLYgRCGhULU7yxFL4KY02xzGEchXph1t3U03U0FDLqrJCrr76aN77xjUOWz58/v2eAMFKSJGH27NnVtPHGG1frbrnlFo444gj22msv5s2bx/ve9z5e8YpXcPvtt4/6fRRFURRFeeEZ9cBi5syZXH755UOW//jHP2bmzJmjPoD777+fTTfdlK222oqDDz6YP/3pT9W6PfbYgyuuuIJHH30UEeGGG27gvvvuW2VGSqvVYsmSJT3T+sBxjZNZHlJaISELjkzcsO3Dh8OZ2CrZYeJjQ4+ysbJQZ6lORIWis6yzzlbKRVscbXF4sWSS0JSUDMeg1FgmNQalTlNqNENKU9LO9gyjVhTzsqFZw2SkptOArDMFVmxIBlTnpSqQFbq8FeXzsnBNeVcndKkUZdaH6XkcVQlTTF3eCk9PZkipVti8kEaMIaSGUDOEuiXU4uRrppref8bVz/t3VBSAwVBnqe+rGhT+1U+Nj0NfnHyDpSEpGhW6Yuo0KixJTVQtBmybAdtiwLaYapcz1S1nhhtkhhtkk3QJG9eeY4PGcqY3ljO1r4nry6Hf4wcCeT/kfeAb5WTI6xbfl+D7U2RqP0ydgp0WJ9Pfj+nri1OthqmlGOeiirEuNiSTMZgmIaPOCjnjjDM46qijuPHGGyuPxa233spVV1016iZku+yyCxdddBHbbrstjz/+OAsXLmT33XfnnnvuYebMmXzpS1/ive99L5tvvjlJkmCt5dvf/jZ77LHHSvd51llnDfFtrC/4lZgiy/DCqsYYnUt2aBrayiptDn2fbsNmZ1CRSVKtXzHk0ZQ0FrvqCn2UlBX/HL0SaFlVs/cYYxXPaFgrBxUWWxjZLFJV2yypwiHFgKI7REJp3hSqdeVj0zXIqNJEq/RShoZD8q5QiC9iqiam4oWUwuBGVcmz+DMUxYXKHgyTs8KeMvl4U/gc/xk+Tr+rkRrPFNekZmo0pUbDtKueQraofOuQmNqNFAX0AiDUMKRINHECvnhtTWKYxWOLAX3gmXo/STGQH2zXaNmELIsmzsxbQgohBcSQ1MBIQlKzGC/YWoINXX1Cyt4hWYYJ0hWA9IifsNP6gqDppgVHHnkk2223HV/60pe47LLLEBFe9rKX8ctf/pJddtllVPvab79O3HiHHXZgt91240UvehEXXnghJ554Il/60pe49dZbueKKK9hyyy256aabOOaYY5gzZw777LPPsPs87bTTOPHEE6vnS5YsYe7cuaP9mIqiKIqirAarVcdil1124eKLLx7rY2FgYIAddtiB+++/n+XLl/Ov//qvXH755bz5zW8GYgfVu+++m89//vMrHVjU63Xq9fqYH9vawEf6PsJ38oXV80qpKOgYNnsVAC9R9gyUhaiG7x8yEkqVojJvFl0VvVgyojG3GdJC0YiKRQyPdEy7zsQS35kUoQ/TUTIqxaNQOUoFwtEpVW4L5aJUK0pMbOIx1JhJ53lnTrFtV4nvrlBIZdrsel4WwzKhSC0tVYp2YdosllUSZqFKiAVTvm9pZhuiWPSe5yO+eG1nHVSGT+0rogA8nffTkpSkq39Q2zVpmDR2Py66IKfiqRlf9BCJXYNrhEohqxlDhgDxHzkTRxtH6uJ+a4Wa8VRtKhB7iQxmNQZdylJvCakjlySG+Wrx+innvmbB10hqjjQPkAdMCJDl4D3GOchzkI5qUZo8lcnNiIJWo/UpLF26dLUOptVqsWjRIubMmUOWZWRZhrUrxNidI4R10B2sKIqirF+szx6LDTbYgMcee4xNNtlkRDvdbLPNuPvuu9l6661Xud1JJ53E/vvvzxZbbMETTzzBwoULWbJkCUcccQTTpk1jzz335OSTT6avr48tt9ySX/ziF1x00UWce+65IzqO9RE3rFnREoyt0k19kYfqKZpjma5CVyu8/PnSTUdSw6ZbZcjEkUlCW2KbpGWhXiyLikVqPK4ofBU7n3aUjHIb3+XJoPo8EUvAFndb3QZOK1Iti3Wt4j2QMVKpBRVVyqnpunhLz0VnWY/XwpvKpFmqFOVjVzYdy7rKdZeKSLdCUaoU8e2immFMpVwc9rUulaJOr5rRrV4o6z3H1D7KOcvPoW5zcnEkhSoxaGpV+mjNeBo2IyOngcEX6kXbBGoSlcLUmFgu31A1MrQmSprld80MBxsmy4p1gecaNequRu4dWepoA74VDcmIJbSiuhfSaHwONYPxDWzbY/KAaTtMHsC0wVqMj+8rw1asW7tZrz0WIsK3v/1tpkyZMqKdZlk2ou3+/Oc/c8ghh/DUU0+x8cYbs+uuu3LrrbdWLdkvueQSTjvtNN71rnfxt7/9jS233JJPf/rTHH300SPav6IoiqIo48uIBhZbbLEF3/rWt0a809mzZ5Om6fNud8kllzzvfi644IIRv68yPNFrYYqy2FKU9rVkEl3gTopMCjreiuGUihVTSku6i211DynLQldlFkhWpI92+yrKKRb36oS4PHaIzFf6Rbq9FaVXo8wKsYWPouO3kCEpp9YIXkxULkzhvRiOyotReCrKu4vST1FlfJiiLHcseFW1Rg+d1ug2F1zWtY/yLcrdu9JvYTpqhVvBa1HOoVOny3bNVbFQuliS9ZGYUCkWQQx1m9MqGvfFonmW1DiwxbWEJRUPBtpdKRiO+B0Riqpw0ZcRr9fUeDZMnovXIIFl9To158nFsjxLWWogrzlC3ZGREJomKhYJmGAJqcH6Gm7QY3zANW1ULozBZC76LSBmi6yLTFLVYU0Y0cDiwQcffIEPQ3mhqAYVpvyBjzUlani8MZWJMBPTk1ZaVtGM++hN0+zGmthXpNYlkw6X9toxW8Y0t/JH0BN7fzRJe7qsluuA6sLr7jXSeWyHDnRMx8RZ/vKWA4xSTrUIUiwLRUik27jZY+6sqmoWdSu86Rg18xgCqbqXZkWlwaxTv8K1iyqbra7PVw4ekhjqCKlBHISkdyAh8WB7BhjDhUBkRG4pZX3imVaj+oGv2ZwglrrNqbscL5aGzQpDZ0Yonmfk2BBo2Ly4pocOyuN3RuxB7IgVfae72DPEIQyGGn0u9icaTFIsQrvuaLZTWsGQpxaCw9WAEP/3bW5JEoNtB7AGkwecCDiDyYqbVAkY54bvIbK2VuVcU5/EJB2U6NeRoiiKoihjhrZNX8c40n2M/wwfB+LdPEU6WFmEyoqQFkYui8UDfc9eWYUw2tPeBKwYbhg+9GGN4CQW2PHGrDQkYpHYu6DoUmrLolgm9vUIJoYaSvViRVamVHQfWxUOIZDjKrVixZRTiKEPU6o1xfOyS2l3pU0JRaGsqsKmgbKyZnfH0jL0USoVoTBs5rFbqWvHDqZJKyAm9kkIDsTFAlnBGXwNJAGf0lEk7Arz4cya3SERA2+78louf4umnCqwrF2n5WIIpGaj8bllE+ohdhJthfj13zIpoVAyGzbD2UAIlpr1gCc1nesaqK4VV6ieKTDDDuKIpuumJDxnGwQMy31KYgPNPKFZS/lrMGRpQu4NksZrKaRgM0twQtIsjNeZxeSCNQZTq4EIJoT4OMuHKBQSbPeTF+ycjjXrtXlTURRFUZQxZh0NhejAYh2k+w499sWwReEryxaDqzbMLg2NjrdiJYH7ThngPPo2irirL4yhbVyPyhG3hxTfURxM9H5gqeZtGf7fsduoGZ8PVSu6389S9hMR8q5zYo0QViyY1YWUxbOCqdSK0lNBqVZU3UpNJ7U0L3uAFFORWlqpGXm8swhFC9mQQEiip8KnBkkg1OJy351GaldQJYZRK6JSIVWhLQ1uKiXLs4SkuJNv26hc1pynXagXdZsU87zYJiGTJKqGFpqSYI0U1238J+x0Qy69SnH5DLe8KqnfDCkNE/c5GGrUbE7Tp7RDQts7ltk6zczhjcU1HUYgb1CphcZHG3moWSDB1BxGahAEkyTgPRTF9kq/hbFheO+FMiHo15CiKIqiTABlKGRNpjXhrLPOwhjDCSecUC0TERYsWMCmm25KX18fe+21F/fcc8+o9rtaisX//M//8I1vfIM//vGP/OhHP2KzzTbj3//939lqq61W2SBMGR/eaT7VW5M7X+mmQ5j53GX8sf+fh83sqO5SZIUOowg140lNHv0WVbOxOG6NqayhKs/tJMTU08JjkZEUTZGkp7Q3RJXClimyPcs7akVJ9+Mq7dR0Sn0DVYnungZkXQWxolJBpVZIkVpaNRgL3apFr8fC+qHppqa4ixJDbBtL9FaUGSAh7XgrJC0Ui+E8FRCVCRPTUCvlwkrPHAtv+eVVXPnaN474b66sm1w87528848/AiAvVIpa8D1+C4C6i18QmTiCNaSF2tAwOVaEhun1LHRnb8WGf+DIwMbn7cSR+qKUePDkwcUS+17oSzN8sLTSlBDA1y0EQ6jF4nxGwObxH9nm8ThtLYnXnwimVotlvUWigmGL4lnBdh6vTVW/JzAUctttt/HNb36THXfcsWf52Wefzbnnnsv3vvc9tt12WxYuXMi+++7Lvffey9SpU0e071ErFpdeeinz58+nr6+Pu+66i1arBcQy3meeeeZod6coiqIo6yerKtU90mk1eO6553jXu97Ft771LTbYYIPO4Yhw3nnncfrpp3PQQQfx8pe/nAsvvJDBwUG+//3vj3j/o1YsFi5cyPnnn8/hhx/eU+Bq991355Of/ORod6dMQp7x/dXjnVvfHLL+1toHsEhUKIzgCDRsRmryqlxwNymxPHdaKBzlsoxCtaBQJrpklqotunRUCy+9fopur0WQ2HCtyrMv9yOGUNThyIOtHpfzUrkoW6VX2SArqBVVVkjo+Cts2WAsB9eK82S5FIWx4rz7WEofRHDlVPgrXFQrQhq9FpJI5bGoVAoL2GJnXb4KbCxRTpnZokWylC6yLN715y7exmfB9/gtAOohx1KoiBjSIpOsYTMIMGCyITVmumveOARnBE9OMKYqFV63scZFqYgADKRtfLAsq3uyYAi1eJ34ekcpLOp34bJYyEW6FAtqKcZ7pN2OCqCYSrmQYGNGiLFrVWbIWLBiP6/na8b5wQ9+kDe/+c3ss88+LFzYaVz5wAMPsHjxYt7whjf07GvPPffkV7/6Fe9///tHdDyjHljce++9vP71rx+yfNq0aTzzzDOj3Z0yCRluMNHNX9ob4EygbjNS40mNZ0BacW5bVdijDJO44sfeIWBs1em0t/NqKCMFANFwKhZrfDW4GI7uQUVn0GDJgyMLjkAcUORiETH4YBEBHywhFGERKB5TVdqs+oKErvTSrKiyWQwmbBZDHzaDpCnVwML63sFNGdIIqakGF2KLcIgtTJu1OLDwfQGpCVhBXDFoKMMcxHmZHmuNYKreIlKk0canb1v0Yy7f7sDR/NmVdZC8XfTX8fEfJQm2JywC0LYxPbssalUaLwdCC2cDmVgoDNsrUqWeAzUCmfE0TBtvTCy8ZSx9tl1tPyVtkwdLmuaEYPC1JBbjqwYW4Gux+qxvx9F1aDmsxOJ2Jk0wPo0GThEkRKMpRSgkpp2uPbGQsUo3nTt3bs/yT3ziEyxYsGDY11xyySXceeed3HbbbUPWLV68GIBZs2b1LJ81axYPPfTQiI9r1AOLOXPm8Ic//IF58+b1LL/55puft+mYoiiKoigFY+SxeOSRR5g2bVq1eGVqxSOPPMLxxx/PNddcQ6PRWOlujemVPkVkyLJVMeqBxfvf/36OP/54vvvd72KM4S9/+Qu33HILJ510Eh//+MdHuztlLWRxexqp8dRtXs0HXeya6F2UQkvKolXOCA3TroyUZf+Q0uBZ9glpmFCEO6Lhs+w1gsTXhKIs+IpKRRZiH5JcHFmwZGKL8IeLIZCu8IcX2xMCqVJLy4u8CHdQTCaLoQ/XisqFaxXmzBxcs1QsYopp0gyxLLExHQNmYgguvrZSLArjpm9AqEPeL0hNCAMeW/PYNGCtVOqEMRIjHcUtSqlO2K7nirIiV+z4Vt76myswLv5/5C70hEUAGi4Ww7Imqotl/x5PLKrXxpEW3ZCHUy1KUiOkRZGshs1iKAUYtLVqmylJi7Z3NGo5IVh83ROCI9Q6d+++DRgTVQzA1YrGOQFcrQY+QDuLRbOMicqFCSCxND/SFRZZT5g2bVrPwGJl3HHHHTzxxBPsvPPO1TLvPTfddBNf+cpXuPfee4GoXMyZM6fa5oknnhiiYqyKUQ8sTjnlFJ599ln23ntvms0mr3/966nX65x00kkce+yxo92doiiKoqyfjHNWyD/8wz/w29/+tmfZu9/9bl760pdy6qmnsvXWWzN79myuvfZadtppJwDa7Ta/+MUv+OxnPzvi91mtdNNPf/rTnH766fzud78jhMDLXvayEbdUV9Z+jql9lE8/9yUaLuMjfR+JC0uRovBpXetOrNSKhs2wCAO2RWqiylEqFb6rTDdEr0XNetricFjaAl5SMnE0i1LgmbhhlQpfKBSeQqmQ6K0ofRbRX9FJMfWh8GQEQ/CFcuEtUqkU0bBpM1N5KrqNmibveCtcM+AyIVnuo2JB4aOwBt+wGGsIqcGnkPfHeVQqINQF3x+QeiAZyEhTT6OekVo/RJUYrjw5dLb52qwjXog/ubIWEzIHXrBWqt8h7zzGFEqemErd8zav1IpMEjKJJcG7S/avjNRATUJULsVGI7eF/i6PxUDSoh1ckXZqirRTE9NOC+exbRXHWCsK49W60sgbaVTu8pzCLIVIwPgA3iMmYMQBfq1IOx3vkt5Tp07l5S9/ec+ygYEBZs6cWS0/4YQTOPPMM9lmm23YZpttOPPMM+nv7+fQQw8d8fusduXN/v5+Xv3qV6/uyxVFURRFmWSccsopLF++nGOOOYann36aXXbZhWuuuWbENSxghAOLgw46aMQ7vOyyy0a8rbL2cvqU41a5/rH29FgOuIi3psbTdCk1kzPdDfYUs4LosQhiyUhAoBnS6s6pFVI8Js4LBcIXHopMYu5JFmyhZkT1Ihdb+StKj4UPcTvvLT7E5z63sYR3WbY7L5QKbzB5kVbaLopftYrS3e3YZMxmgmsJrg3J8hCfL/eY3IMxhJpDCqUiJLHRmK8b8r5YCCvUIB8QJBWY4nGpZ6C/RX8tY6DWoj/JqlLk8Rz13p6cMe2Ysf2jKus0Ip156MpLrvxHhdLnK1XQ4CU2J0vF44rmhUNST6lqv0WfhYmqRcPGYlh120lBn+Ja5Imjv0g7Hax5coFQL+vRG2wjPszzmEVl2xZxBmcNtl3DWovJoseC3Mc01HaGGIMpskcIwlqRHTKBBbJKbrzxxp7nxhgWLFiw0qySkTCigcX06dOrxyLC5ZdfzvTp0yvF4o477uCZZ54Z1QBEURRFUdZn1uvuphdccEH1+NRTT+Ud73gH559/Ps6VOdKeY445ZkSuVGX94LHmdBLrSU2gz7Wp2zw2J7IZu7a/zq21D9CWpGqFXioYpS8jk6TK/GiGFChKDnc1JKsUCzG0QlIpFqFQK9qFYpH5WNMiC5bcx8mHjlIRvO14K/KidkVuCh+F6TQX61IuXCZd9SukaDoWem8LRWJ5bhtbQ/taoVo0omLh60LoD1AL1PrbpKlnw/5BptZaTKs12TAdrM5Jb2GweF6+1PwcxzVOHue/rLKuUPqNOtlSJl5zxXVXeiwyYpZIw6xaAXAYMEINTzCmKJhnaJi0qvHsXcwEm1ZrEcSwrF6jZYRW2xEMYCw2i00JjY/Xjs0tYqVQL1LEWpJ2I2aH2ByK7BbjLZLnGOcgCJIPLdanjA+j9lh897vf5eabb64GFQDOOU488UR23313Pve5z43pASprJ4uXT6VmPYkNfHrG0Z0VRQbY75dvClD1JHEmppempkx7C1W4oxxEBHrDJ74aUHQGFnEw4Wj6hFwsbe9o+SSGQXIXwx/eFoZNS8iLxhx5NGqa3BT9CroGFUVqqc1iCCRpCq4dBxOuLZgsYLOACVL1BjF5wCQxRa4siFX2BvE18H2Crwv05bi6p7+vzUCtzcZ9y5iSNpmRLmdO7dlqcBU/bycMpCirgwzTAwhiFdtQhheDIzOuSgn3YvHGVGEQT0zxtMPsKsWQmoDHM2DaRYGthFRyakXhLWcCz9T6AFjWrmOMkNWTsh4dPrMxrJHHS9MWIRFxFpu5KiRiMo9xFvJiwGMMxhjEBwhrSarpJAiFvBCM+hsqz3MWLVo0ZPmiRYsIa8sfU1EURVEmmgnqFfJCM2rF4t3vfjfvec97+MMf/sCuu+4KwK233spnPvMZ3v3ud4/5ASprJ1/Y6KhVrj/SfYxPLPlaVTArsZ7EBOouJymKbkFvb5BuHEImdohSEU2b8Xm7CIHk3lbzUrHoNmxKYdakSC+NnUtNb+fSvBMCSZYLrh2wbcG1olJhsxANY16imQwwPmAKdaEqipXE9NJQE+j31PpjeumUeouptRZT0ibTkiZTXIuNkqXxHBSfv1QqyvTcIGZUnWuV9ZMrd34zb7nryp5l0pVm2jvZSqVoS0JahUISoD3EvFnembqua7TshpoVfYP6bYtUHLUi/7NuM55OBwBYUo+KRasvIbNCsA6fxeJy1kelIs/L1G2wmQVrsFmKbVusMeCiaRNj4uQyTHAY52In1NFg7Lj+WK9pe5/J2hpo1AOLz3/+88yePZsvfOELPPbYY0As833KKafwkY98ZMwPUFEURVGUtYdRDyystZxyyimccsopVUc1NW0qq8MjS2bgbMDZQFr4MfqTjMQGpiStarvQFRfupF6GSqnoKBblc9MxbPqoXOTF1GPYFIPkNjYYy4tGY3nRvTSn6FLaMW66dvRUJM2AawVsKxbDMiKY0rgpndsdkweM7zzvVi0kFXCBJPE0ahkDaZv+JGNaEhWL6ckgU91yBmyrUiq6i4pVqGKhjAFluumK3X+9dDwW3fR0Ny0ex7RTQ4rgERomj12JiSbrtnisiZ6LDZJlADxb68MaYXkWC19lBnzDEozFl+mmOZUJ2mYWjGDbCVIchMltLMNvDJiYiiohNjzECMY5THnApiv6LyFu1/UcwBg3fpmq66jHYrULZIEOKBRFURRldVmv00272WqrrVbZ5exPf/rTGh2Qsv7w3c0P5aB7L8caoV7LSFxgeRpLWbdTN6QgVFksqvRlWCOVQtH0SaVU5GLJvcOHwuGeO0KwhEKpCN5G+3nREp0Q1QmKdFPrY1qpyTvZILFFelEQqxlwzRzb9NhWkdJWqhXFtSFpJ2sKYwguKhbBgSSxJbpLAo1aTl+aMSVtMyVpVWrFDDfIDDvIDLe82k1YwdHvMSyZ+lamLb1i7P84yjpFd5O6lWWGrIxQeC6CmCHXZEl3FkBapJ0G47EIwRjaOBomx0nAS8ZGyVKsCSypNbBGWFavReXCCMszS7CC96ZQKeK14yzkWWypbjOLs9FTYXzAJhaTp1ElrKeYLMf19xUGja5jDoJI6YfyxVQmHbioWozWl6EMYdQDixNOOKHneZZl3HXXXVx11VWcfLLm1CujI1ueYJwQxOBswAdLaj1ZcCSmlCZLg2eo5pY4yCjNmpmP6XGZjymlVbVNb+OgIhikqF1RDiqiaRNMKIybvkgzrUIiXaGQPFbYdG3BNXPc8hzTbGOWt+NgInGItZDGKoFSS6peISEpBhVJbNIoFkwSsEmgL41hkHJQMdU1meEGme7ioGKGbdMoPn8ZVRks6nU0JWFJaKC6ofJ8/OSV+3PQ7+Mgvuya62zoqexa1rIoBxK+7CxM2Y3YVIN6YEgFTmcMFhMNlRJIixRybEYqHo/FhkAwlmbyHABPpwNYE3guq1Vp5nnuyK0jZBaxBhMsNo2p2gL4hiEkLtaRWW7jjUArYL1g8nh9mixgm/UYosx9Z+DvfdVXBO9jl1TvOyZPMRjs+IUYNRQSOf7444dd/tWvfpXbb799jQ9IURRFUdYbJungYE1YI49FN/vttx+nnXZaT5VORXk+JHNIEHIpqvKJoWUS2t7hijsri8QssuIOyxWKhanu5KNiIWLIig6mPpjelLruDqZdKaYmFKZNHwvxdB5TqBlFOCQHm8V+IMb3mjQxJqoVziCJRRJLSIt5UigYrijyY4FEwArWCf09ps3lTC/VCjvIDNtmwEBqLE0JtMTQFMeSUCcjdntd6vuYMzF/OmUtw1jBFmZpV4YVi+urVAC7CaVxU2L4wWNJ6a1V5IaJqsQKnJYGgbYImECNgMdQs7HfSJlC/mzajzXC0nqDpDBxZ8HRTh3LAcktmU3itZlBSGNoxKcxHTzpcxgvJC2L8bFoXdJyUblYnsTCdVnAhBBTwfM8Xr/tDPIcA0huMNbGoloirEZ5J2UFxmxg8aMf/YgNN9xwrHanKIqiKOs0at4s2GmnnXrMmyLC4sWLefLJJ/na1742pgenrAe0LeIkNiPMJSoJFry38Q6riAnHecAYSK3vqBlGYtGrUKTGFUqFD7YIq0aVopwjhVoR6DVtln6LbrXC0yNTRs+EFOqDjT0JSixgo0ohzhJShySxq2ksR9w9ReNm4jwNlzMlaTGQtOh3bVyRjjcodZ70DQZNRr/1NMWxNNTIJOGZ0E9bHM2Q8qzv5yr3Ed7ozxnXP5uy9uFsIHEBa6VK87ZdysXK8NiqrP5wFZkcpvJXOOIcIDUmpqAieCAgVUnwqUUa9XQ3iDWB5T6lz2U0XAOAZp7irNDOHS0rsfR+ZpDUReWiFlPC82ZUGvN2oTj6Tv+epGFjH59WwBap37adRIOnM5g8gRDTUaXVqozXZVG7cUE9FpEDDjigZ2BhrWXjjTdmr7324qUvfemYHpyiKIqiKGsXox5YrEmPdkVZEdM24IBgY+ZEiJ0N//vlb622OejeywsXu8FZoQjbYk1ULbo9FaVSEUJRShuKjJCoVqyoUlCU8LalnyLQU4ffCFXd3ag8xEwPSYpuqLa4uzEGKbwW0WcR1YpQs5W3olQssBJr9xjIi8Ziy/I6EMsdtyUhE4clsMxkzGA5zZCwVBo0Q8rS0EczpDQl5dm8n1ZINCysPC/ORvUvKn6dzKqq6FzX7W9vF+EySyT6ldzz6O/OGBCicmFiZidGQCgyRWCAjMxaNkyew/nAYFqnz2X02QxrAk2fklpPM09Z6kJsIJg5fC0guSXULcYb3PJ4/bpW2TgQ8obBZYa8LtGHsdxgvYuZXU2LyQLOGEzmsT5Au43xReZIkJgTPk6sq6GQUX8dOed44oknhiz/61//2tPxdCQsWLAAU3SkK6fZs2f3bLNo0SLe+ta3Mn36dKZOncquu+7Kww8/PNrDVhRFUZTJhTYhi4gM/0larRa1Wm3UB7D99ttz3XXXVc+7Byd//OMf2WOPPTjqqKM444wzmD59OosWLaLRaIz6fZTJyU/2ns9b/79ruOL1b1jpNhI6rvQQwJalfE1ULcqsD+jcaUnoCgZX/oq43BSPR3phSiF2xOwPQZwFK4hzsWqPD8XBAFXtCkNIi7mjKpBV3mLEOjyW5VnKoKvR5zLIITWezDlaIQWgYbKqffUzfqDyVTQloRVSns4KxaI+yhOvrHc4Fyp/UmKixyIxpc8iZnt0qxHdzf/K2hZt47AIrigGZyXecttC2SubkTljqmsxZp0YnAGPYEVwRphq20yzy3EE2mnCYKjRb9sk1rPcpzRcRtOnNJI+Wj6hlScM1mp4b2ObdW8IDYfJDb5lsFn0XbhWLGiX1ONzX7OxiWAmJK5oZAbYtsX44lOWtS68Bz9+8t+6qliMeGDxpS99CYj12L/97W8zZcqUap33nptuumm1PBZJkgxRKUpOP/103vSmN3H22WdXy7beeutRv4cyubniH1Y+qIAYyjAGjBiMEYJ0Bp9lKITSqFlcaN3VBSXQUxgrDii6Bh7VwGElB1CGQSxxcFGkj5oivdSUlfusJdQsvu7I+yyhZvCpIdQ6RbJKX1iZCpsFx2Ce0p/EgUTi62TiyGwbKEMjDmeEZ3w/rZDyrO9j0NdohYT3pqeP8Cwr6zup9SQuVMbNpJyKwcWpAycA8J18Id7EEEjs8eFIJScjdigNDG/ihO6BQ8fEibEEyhTtzgCjQWCGXU5qYvGswVCnaZs0bEYzpExLmiz3NfqTNk2f0swTnq01yL1jWb1G7i3tvoSQWfKWw2Q2DjKacZARanGAIS6mqIY2IBbnBJvH7xCbupiGam2VQm5GqbwrQxnxwOILX/gCEBWL888/v0dZqNVqzJs3j/PPP3/UB3D//fez6aabUq/X2WWXXTjzzDPZeuutCSHw05/+lFNOOYX58+dz1113sdVWW3Haaadx4IEHrnR/rVaLVqvTwKpslKYoiqIok4r1PSvkgQceAGDvvffmsssuY4MNNljjN99ll1246KKL2HbbbXn88cdZuHAhu+++O/fccw9ZlvHcc8/xmc98hoULF/LZz36Wq666ioMOOogbbriBPffcc9h9nnXWWZxxxhlrfGzK5CGGQky8hobT/srwxwoXaaVaFAqFhOLlo5Ufy93YzhRNmQYxfZi+QGg4QurIpzh8asgGLCGFkBjyRlGOuCjpXSVVCVX31aYvFAvjyYMjd7FEeb0wcqbG8/rsy51jcsWkKCPkgrmHjmi7PESFLBOHlZj+nImPoRBcoTAYECEYClPm8PuyXdKGNYaA4KUTGmnaLIZTgAHbIpOE/mI+GGo0JWVaMsBgiArds1kfTZ/yXKNG2zuea9Vp5QnLBuv4tovGTnHxOvMGMVG1iBhcFAJxiQFxMX3VCyQJBF+ENDXddE0ZtcfihhtuGLM332+//arHO+ywA7vtthsvetGLuPDCCzn44IOBmN764Q9/GIBXvvKV/OpXv+L8889f6cDitNNO48QTT6yeL1myhLlz547ZMSuKoiiKsnJGNLA48cQT+dSnPsXAwEDPj/ZwnHvuuat9MAMDA+ywww7cf//9bLTRRiRJwste9rKebbbbbjtuvvnmle6jXq9Tr6uTbZ2iq4L2FTseMOwmb7nrymrbDl23UaFoNlamnUqXcapb5RgmfBwcUDPkQmXINF5i86N2vOMRF1NLswFLSCDvi76KkIKvxwZkoehqiukuRx59Fm1fxHwR6i4nK8wYzZASnCU12nFRGR9aIcGa0KVYRJ9FhqOGLxS06CtKi4snAIjEBmQFznQphl10bzPVeGpEz0cm7aJ41vLiPROaktJv2wyGGs/5Bg5huYvqXtMkeLEYA+00wRjBG4fUY0nxUCtSZrtyCuLjeK0iAUkckgomcfG7wXsYR4/Fem3evOuuu8iyqCfdeeedq2ybvia0Wi0WLVrE6173Omq1Gn/3d3/Hvffe27PNfffdx5ZbbvmCvL+iKIqijBvrcyikO/xx4403jtmbn3TSSey///5sscUWPPHEEyxcuJAlS5ZwxBFHAHDyySfzzne+k9e//vXsvffeXHXVVfzkJz8Z02NQJj9X7PjW598oX3VcVCrFoiiCBb2ZIRCzPxIIhY/ChNiXqGyhHpJYCtzWDSYUikVuMaFQH1JD3jA9KoU48I3Cm5GCFA3IyqJbPlhy72j6hLxQKdohoWZj3+bqztD4lWetKMoYkonFhoQsxNTSzLrCZ5HQxpOaTk/xmKzZVVhrmF+6smAW9HouABomNkQj5LRNqJS6WPrb0iCLKdfGEKxl0LWxJtByCYkJBAzOBFq5w5j4c5bnsdRXyONFFrpaoIc0ekN8GpXLqFw4TJpg8sJjkemFtqaM2qXynve8h6VLlw5ZvmzZMt7znveMal9//vOfOeSQQ3jJS17CQQcdRK1W49Zbb60Uibe97W2cf/75nH322eywww58+9vf5tJLL2WPPfYY7WEriqIoyqTCiKzxNBkZtXnzwgsv5DOf+QxTp07tWb58+XIuuugivvvd7454X5dccsnzbvOe97xn1AMWZT0kX/VdhoEYCO4qnCWFciAGpCaxvHcelQ2bx+2NFIpFgJAVTcrqHfXD5rG+BiGqHXk9zn0jqhXBQajFxmPipBjKx4JdwRuyIp/e2RqpjT6KxARyF8f8SbnM+jHsRawoK6fMCmlJihWpskLa4khNVC+CZLEglkin8FWhRsRmYwZb3LeGrlbrwykaJQ7palQWSIkqXcN2isT1uzbWCANJiyR4crEkJtCspbHWjRF85mL1/qIQVuhSIGKGSKxxYcQSUgtBcKnrGLmScbzQ1udQCMTsChFBRFi6dGlP9UvvPT/72c/YZJNNXpCDVJTnZSXy5ZWvf2P1+C2/+jnY3mtRykqYhjjoyGOYI3R1QLV5fBxqRT+RvDBNdfUWMaEIe9QBG8MgncJaReijeA3eIBiCsWTOIQLOJvgizc3ZEHuIiKFWDCzSEHRgoYwLpw6cwOcGv0AWLIlxsWCbuKJgVgyHxHRTwEAm8Z/bV4OC8nEcUPgVfv1CT+gkYg34rs2cCfH1AqnJqReVbVs2xSLkiSP1gSCWto1F5mIF0ZQsS/BGCDUbQyiZpYwjhhYg4NM4D7UYypTUFXFP87xhVeX5GfFX1YwZM6p+Httuu+2Q9cYYrR+hKIqiKCNkvc4KgWjgFBH+/u//nksvvZQNN9ywWler1dhyyy3ZdNNNX5CDVJTno1uZWBmSRN2xSmoyHROlsSEW4vK2MGzaKnQivitMIrHwTpWuWnZF9cQ7uKr0d6FWdFcOL3qVSIgD8eAtPo/fDO1M8K7o12ADWXAEMeS2ExL5UvNzHNc4eYzOmKKsnLwo551K4E3hc/Fa6DJBPjbwTzgTwxXOBBomxyGkJtAolqcjdBt3KxXWSOyyKnRCISaLIcQA/bbVSYUl4DGkIWFarVV1aW3VEjLjaOcOMZaQQSmvhCL1NKQGI9GQTWpxqcPmMeCC0QJZa8qIBxZlQaoHHniAuXPnYsezOpmiKIqirGOs94pFSZmxMTg4yMMPP0y73e5Zv+OOO47NkSnKGGOS4iosC1QZsEXBKpcU8eDcRmNlXsgN3hByw5W77cf+N1wdvwiywlMRDJaiqJYplhUvq9SK7uZmYqKLuyg1bAyIN3hxtI1gvUWE2Ciq+MbIreWsDd4/3qdKWc85beD4Va6fs+yH3NN4Nw2bYQk0TEbNxFTUAZORmkC/CUNe51YiYoRufwUBjK08FrUyvdVCS2IJ8Fg0LhbKymxOy8efMmuEZl6knaY+io7t8oKM3ifjox9KbDRXW2eiySMpGpFZTTddU0Y9sHjyySd597vfzc9//vNh13uvFQIVRVEU5XlZ30MhJSeccAJPP/00t956K3vvvTeXX3551UDsnHPOeSGOUVHGBGNDj0phreBcwNpAmnicFS7a4uBV7KC4jkuTuRECpsuz0dWozABWKtWi8loI0a/hy4cW44Q8czgXuHibd75QH19RxpTF+XQGbIvUePptq1IsvGlSMx5nO12mSxEgk5hWCp0iSkN1jahaxPbsgUaXuSOzbWwQgjXYQhHJxNFKEwImZlI5T+4sxnb9andfo6ajKmIMYiUWv8tjVpiMY5hfQyEF119/Pf/93//N3/3d32GtZcstt2Tfffdl2rRpnHXWWbz5zW9+IY5TUdYY4wRTDCaMFS7d9qBRvf4ne81n/xuujgbNKoNUijhIkQZvVjKo6FZXy+86AzYJ2CTQ18iopfmKb6kok5Yn2tOYkjRJjWeqTUmNp2EzcNAgIxWPQ6Kpsvifj7UqivRSOoOMbmLKqum8zuRFhc+YeoqNgwmAzDoIULc5NZtTswnOBpyN4U5TXodQ/AqbKjwpxaAiXq9xQGFcWI2ykcqKjPoULlu2rKpXseGGG/Lkk08CsTvpnXfeObZHpyiKoijrKjIG0yRk1IrFS17yEu69917mzZvHK1/5Sr7xjW8wb948zj//fObMmfNCHKOijAlX7DCCniPPh4kFr0wwsZ8IRZGtLkWi27QZ74YA06VgpIJJA8YF0kZOLfFM62vSn7aHe0dFmZQcYj/Jd9oLqducLHE0TE5TYrPKhmnjEBomi+mjlOENwRuJFTtLtY/Yc8T3yHqRUrUoU09rRZffsttvo1Aw6janbnPaLicxgcQGrBV8dS1GtaJUL3pSwq1BSgOnMfACNdlcGZM1nLEmrJbH4rHHHgPgE5/4BPPnz+fiiy+mVqvxve99b6yPT1EURVGUtYhRDyze9a53VY932mknHnzwQX7/+9+zxRZbsNFGG43pwSnKZENMUejKSpyXd1llye7SZ1EZPIuS3lD1CjFpwCQBl3oatYy+NGfDxiBT0hb/ERbwz3bBRHw0RRk1f2sPULc5uTj6bDt6LIAB62jYrFP6u8AhWAI147FGqEmcB+koF51ti4JxXcbnsrPqivOWzehzCa2QkDqP89FHZQqlsJyAIQbOUrWoDJzjWaNJpNOjZHVfPwlZ4+4D/f39vOpVrxqLY1EURVGU9Yb1OivkxBNPHPEOzz333NU+GEWZ7Fy55/yqUBbBVE3IVmqiKvwXYgWSwothBZsEkiTQX8voT9tsWB9kRjrI5rW/9ZROVpTJzMn9H+5dIEBWPC6yTe+ovw9LLPrWMO1qnhrPgGlXHowVqRQLitr5QCqdjqcESE3MDqnbjLpNqducxAacDVEwLPxNdCmL3cpFldFVZoY4i4yzx2JdZEQDi7vuumtEOzP6B1EURVGUkbE+F8i64YYbXujjUJS1BtuKDYxikLZY2JUrX13rVRxXquZkxkW1wiWBWprTn7aZVmuxcf05ZqZLmauKhbKO8ef2hqTGkxpP3WbUTM5U24z+CBdVCNdV/ruqfVFQNSajyAqROA/GknVlh7QK1aJmPYmJhe/Kong9pfWhy//UlRliyuyQF/6cVIcR4rQmr5+MrLHHQlHWN1xzBWWuK7VUnOnqmtpV9c8KxgkURboS50kTz5S0zaemfyBuF4DB8fscijIePNqaUQwqcqa4Fg2b0XYJA7aFM0K/aVEjDhAsxS+tRNOmQ6opYCqzZkZMM20XhbJSk9Nv2wzaGjXro4HTxk7GYqV3cGG7BxSxbwiuGFTk45xuuo4qFlpjTFEURVGUMUMVC0UZJa5sgdCVViqWrh4iK2SBdYVBjA389/YHjPchK8qE8djy6dSsp2ZzZqTLqbtYorsVUiwBbw0DtoVFcKYIL5qAxeJKJcNASiAlADmpuBUKZrnCwJlTc3lULRJPlrvY1TgRQoDg4v7FxU6nwYG1pickMkydrheM9TorRFEURVGUMUbrWCiKApAs7yqu4wAb736q4limaE9WKRnRX2FcbDj2T/dfyg+3efuEfgZFGS+eGJxCzeU0kpxcLA0X81GnuCb1oqCWM0Jq8lgoqyg2l5qAx5AW+xmuYZk1gRqQmWgAHXQ1+lxGM0ljl9M0p+VSQmrAW0Ia7/KDK6wc1hCcRPPmOKsV6zI6sFAURVGUCUBDIYqiAOCaHU9FGac1hb8idDnPgdg+3cmQNFNFWV94elkfaeKpJ548WPqTDGeELFj6bWy854zgSLEm0DAZzgSykJHi8TanJtFLEcTgxRIKacER00lTkxOI++uzGctdRi3JyYLFpgEJFlJBEiEEgyQgPiqO4orrucwM0ayQNUazQhRFURRFGTNUsVCUUfIfR+/L4V+9llD4K4wp47XFBoW+WaoaZTaISwKJi3duirK+0ByskaWBLM2xRsi8I7GBlktIbWCpb9BKUlIT18cMkcCAbcWy37SiioHQFkeGG/IeNePxxNf2uTZ9IaXucjLncElAvCd4g6SCBGLDsUKxCM4QnMHa6LUYT8FiXQ2FqGKhKKuBycF6sGXlvELSLC90KYpiYeNC4wRnA2niqSU5H37qOxN49Ioyflyx41sJ3pLnjmae0MxTlrTrLMkaPNmawpPtKTyeTePxbDpPZVN5Mp/Ks76fZ/wAS0Mfy0KdpaFBU1KakpKJw2PxYosQSsCaUBXJ6ncxHNKfZNRdTpp4bBIgCYQizVSKKSQdE3Zl4BxPyqyQNZkmITqwUBRFURRlzNBQiKKsBjaPJYZN0gmFDKnbX5T5tk6wLpAUU93l9CfZsPtVlHWRkBvA0c4cIuBsjTzE+9qmS8nFUbM5qfG0QkLd5mSuSVPiddIwbbyN2/si5hi67ourTqimHUt7uzYNl9NMomLhvSX4QCiMnOIMoTRuuliKX6wURbLG7357XQ2F6MBCURRFUSaCdTQrRAcWirIaXPCRN/Cez1+DJCb6KUJx91B2PS0bkVnBdN1WiBhaXi87Zf1CQlQM8twhYlhmIHPx8aDztIOryn63kqhYBAx1SXAEMht9FaUyUeKM4Irryxbr6jaj37VpuIyGS6g5j08sIRjaaYJ4iSniSdk4sKuct5b0HhPUY6EoiqIoypiht06KsprYHIwHa2OGiF8xC06AYAjegoF27ghiMEbwwXLM4xfytVlHTMShK8r44g2CJc8cIURJwDuLF0NqA5l3pM5Ts55cLDUbU7L7XEwzzaSFF8uAjR0AbWlokoAzgiXgTMAVaaotm1K3OQ2XkzpP2zlMmaXl4lxMV/Mx0ynTP675pkHitCavn4RMqGKxYMECjDE90+zZs4fd9v3vfz/GGM4777zxPUhFWQXll1FpBIvdTaU3/VQM4uMAI8sd7SxhsJ2yrF2b2INXlHFCvAFvCLkl5JYsc7SyhOWtlGWtGktaDZ5t9vFMq49n2sWU9fNM1sdS32BpaDAYal0ppwlBbJF22hkIWITUeFLjSWycnA3VVNaXKWvMdHcnFtc1uBi3EzMG0yRkwhWL7bffnuuuu6567tzQ4ic//vGP+fWvf82mm246noemKIqiKMoomXCPRZIkzJ49u5o23njjnvWPPvooxx57LBdffDFpmq5kL4oy/nz7o28gpEWRndIAVkiqFQIEkGDwucXnlnahWjTb+v+srB/8dNf9ulQLh88cedvRbic0WykXbXEwy1o1lrVrLMtqNH1C06e0QsLyUKMVUgZDnWaIBbIycbSl9ya0NHY2TEZqcuo2JzGB1Ppo8rRShUPKa7VbtYjKxfgWySoFztWexu1IR8eEDyzuv/9+Nt10U7baaisOPvhg/vSnP1XrQggcdthhnHzyyWy//fYj2l+r1WLJkiU9k6IoiqJMOtbRypsTGgrZZZdduOiii9h22215/PHHWbhwIbvvvjv33HMPM2fO5LOf/SxJknDccceNeJ9nnXUWZ5xxxgt41IrSoVIsulSLFW8jJMT+A+INCOQ4jBGsnZxfCoryQvDTXfdb5foQDCEYfLC0vSMXSzsktHyCpYZFqNuUlGjsTA1kkoDJq2VxeU7DZqTGR9XCBlLnadlo4IyqBb3GzTLd1Mj4mjfHmbPOOovLLruM3//+9/T19bH77rvz2c9+lpe85CXVNiLCGWecwTe/+U2efvppdtllF7761a+O+OYeJlix2G+//Xj729/ODjvswD777MNPf/pTAC688ELuuOMOvvjFL/K9730PM4o/9Gmnncazzz5bTY888sgLdfiKoiiKstqsURhkNWpg/OIXv+CDH/wgt956K9deey15nvOGN7yBZcuWVducffbZnHvuuXzlK1/htttuY/bs2ey7774sXbp0xO8z4ebNbgYGBthhhx24//77sdbyxBNPsMUWW1Trvfd85CMf4bzzzuPBBx8cdh/1ep16vT5OR6ys75SKRdnMqIzfVqqFmChXBoMYiwTBhBgcDZO1uo2iTAA/3ObtHPKnH+KDxduoWliElkuwJmCN0AgZwdjqltgScNjqenMmRLUilGqFJzFlVohgqmyQUrUwlVohVqLvYjwFi3GuvHnVVVf1PL/gggvYZJNNuOOOO3j961+PiHDeeedx+umnc9BBBwHxRn/WrFl8//vf5/3vf/+I3mfCPRbdtFotFi1axJw5czjssMP4zW9+w913311Nm266KSeffDJXX331RB+qoiiKokwKVvQVtlqtEb3u2WefBWDDDTcE4IEHHmDx4sW84Q1vqLap1+vsueee/OpXvxrx8UyoYnHSSSex//77s8UWW/DEE0+wcOFClixZwhFHHMHMmTOZOXNmz/ZpmjJ79uyeeJCiTCShxgrNjIh3Qj2ZISYqFcRywSLFfKIOWlEmKT6YYrLkEqdW6CgWzZDircFKzABJjccjPQ3JUnyRGRJVi5rzuDyQ2IB1AW9sVbeiygapCmQZxI1jVogIZg0MmOVr586d27P8E5/4BAsWLFjla0WEE088kT322IOXv/zlACxevBiAWbNm9Ww7a9YsHnrooREf14QOLP785z9zyCGH8NRTT7Hxxhuz6667cuutt7LllltO5GEpyojxtfgFFVIQJ0hSyqmdXLCqSBZCZ+EEHbCiTGJCsHix+CBVKKTtHNYkWCO0QkLAkJpo1vRiqx4hHlsNKho2qwyciYmDCmdDZd6MnUw7lTfLAUYcZIxn5c1iWpPXA4888gjTpk2rFo/EDnDsscfym9/8hptvvnnIuhV9jSIyKq/jhA4sLrnkklFtvzJfhaIoiqKsbYyVYjFt2rSegcXz8aEPfYgrrriCm266ic0337xaXla+Xrx4MXPmzKmWP/HEE0NUjFUxqTwWirK24fsE3yeERiDUpAiLRGNYx8AZJ+NNZ8oNJrO85earVrF3RVm/EIYJhwRHOyS0QxLLeoeUVlehrLBCWe+GzUlNjjWB1HisEWxplJbOG5nApC6L/UIgIhx77LFcdtllXH/99Wy11VY967faaitmz57NtddeWy1rt9v84he/YPfddx/x+0yqrBBFURRFWW8Y56yQD37wg3z/+9/nv//7v5k6dWrlqZg+fTp9fX0YYzjhhBM488wz2Wabbdhmm20488wz6e/v59BDDx3x++jAQlHWgB/v9wbectNVHYWiu85udXdkVnheTgazJvFVRVnHuHTbg2LKqRVysRjvaBf9oyxCzcafrIZ1EGL5bieBTBKcCI5AJtGnUTYpC2IIYpByCgYTTNUkcEjW97imm65h9cxRvvbrX/86AHvttVfP8gsuuIAjjzwSgFNOOYXly5dzzDHHVAWyrrnmGqZOnTri99GBhaIoiqKsB8gIBiLGGBYsWPC8WSWrQgcWirKm9PsV/BQm3kgEU2SE9E7dd0t4TQ9RlBUpFYbyccBUfgtHTDvFQlNSCDHtlABYSKVT3jsXV7zO4ouS4TGvdAWPRdfvrYzjJbk61TNXfP1kRAcWiqIoijIRjHMoZLzQrBBFWUOS/gzXyHF1j0kDJvUYJxgX8+UrumO7wVSKxgFXXzNxB68okwznilbntmNAij4JS1YUzGqFpGqh3pTOvFwWsHgMvstfEYj+CkLX9Re67von52/0WokqFoqyhgz0t8i9i50ZvY1TZdg0vVLrGkqfirKuEwcVgkVIVhhc5MGBJYZEjNAqQyLFHKAptWJA0TFuBmL6KkLX4IJOeHKCrklTHscavH4yogMLRVEURZkINBSiKMpwXDzvnSTOY+1KLvLnuyuanN8NijIhJC6QuBgKsV0XTWngbBehkJZPqmJZ3WGQZkiBWO4botLhg42/4aFj3DQrUy3Gs6T3OooqFoqiKIoyEYxzgazxQgcWijIGGEO8u1rVzU53waxh0twURYG6y3E2Ng5LzAqqhViCQGYthIS65DQD1G1WbEDVoCxQ+CzoKpBVGKi71YqY8tlV8nscwwtj1StksqEDC0VRFEWZCNZRj4UOLBRljDHDmSnGs+qOoqzF1JMca4SkSHnoVixysbGVekjA5rR8Ao4qOwSgIVG98BJTTku1ImaFGCibAHqweZziY8F6mbSZFmsTOrBQlDHAGiGsImetXGU0BKIoq6ThcqAzoOgNhcTUUXz86cpsDj6hbmI/kTL11Btbpae2fZxyb5HcYHMTBxTtzsDCZWByMF6w+TiOLIRYMXRNXj8J0YGFoiiKokwA6rFQFGWllOGPODcYI0i3k7P0hhkgkTg3Ag5YWZqqoqyHlIpFKHuFdF1H3SqGRQhiwQQyid1OLULTpHgsmThaISELUa0I3mJyi8kNNgObgWuDzSROeZwbr9fjmqIDC0VRFEWZCNY0C2WSjoG0QJaijBHGRI3CWsFYAVv0C0kFqQekEQh9ARnwMDWHqTluept0Rot3/OFHE334ijIpaAdH0ye0g6MdXKcsd6FgWATb5bD0mKI3SKlSpAyGGlnZ2bTwV/jcQm4weaFWZKVaURg3i8mMq8dC1nyahOjAQlEURVGUMUNDIYoyBjgTO5laGwCLTQKYooSwITq/bVQ1XM3jXMBaob/RpuY8U+vNCf4EijI5+NT0D3Dy374FlOpE11Q8LwtnlcpFbPpXZIYEcCaQB0ceHFmwsaS3N1gPtku1iD4LqXwWJhfw46hYBFZdVG8kr5+E6MBCURRFUSYAzQpRFGWlfHfzQznikf8kcYEcsM5gTEAEghFEDNYJ1gUa9Yw08dScZ4O+QfqTjI3rSyf6IyjKpGF5llZNyGrWd1YYsCuoFdDJIClVi0wcmVhyiWpF8BYJtqNW5B21olIs2gGbB2Q8s0K08qaiKKvCIlgrJIU+GYxFiGbOEAwuCSQuMKXRopFkTEnbzOpbyox0OXPrf4V8Yo9fUSYLLZ+Q4nHFICKht2dIaj22KyUiiAVC7GRqDM7EVNQ8WLy3hFBU3PTEcEhh2HStwrRZDCpMFiDzwxyRMhp0YKEoiqIoE4EqFoqirApjwBXmzYSAWIl9CiyIGBIXaKQZMxrLmZK0mV5bzlZ9TzHdDbJl7SmebhzIBs/9eKI/hqJMOG0fQxrBmqhUWLDSWxzLDtP5NM6j+JdJLOvtg0F8nMyKoZBMMFnA+IDJ4yTj+WO9jg4sNN1UURRFUZQxQwcWijJGlHdSzkYvRZr4avrhNm+Phs3E059kNFxGzeY9d11BL0dFAaCdJUXjMBfNl2LIpXN9WBNITcAhOASPqaZWSGiFJDYgC/H1EgwmEKdhbvJ7lo2nChDGYJqEaChEURRFUSYATTdVFGWVfHuzd61yfWJD5WZPrCc1HjdZi/0rygTyn1v/E4c+8APEmcK3FMnFYkNsLhZMIKt8FbanaVksAW5pe4cEgwQLwRS9Oej02AjSUStk8v5Qr23owEJRFEVRJoJ11LypAwtFGSe+u/mhfPip7xRqxQqOdix+jWr7Ksq6RbMdi2T5EDOqUhvIg6XmPLlYEhPrVpRt1SvFomueBYf3tvIjmG61AroUjK6QxHj6FoIMb/oYzesnIRPqFluwYAHGmJ5p9uzZAGRZxqmnnsoOO+zAwMAAm266KYcffjh/+ctfJvKQFWWNSGygZn0VCrEm4CarA0tRJpBseUKrmbK8VWOwWWNZq8ZzrTpLWg2WtOssyeL0XFZjSTvOu6fBPKWdJ0UoxGCKUIjp+i2v5uUlOEkVgLWNCVcstt9+e6677rrquXMxf3lwcJA777yTj33sY7ziFa/g6aef5oQTTuCtb30rt99++0QdrqIoiqKMDRoKeYEOIEkqlaKb6dOnc+211/Ys+/KXv8xrXvMaHn74YbbYYovxOkRFGTNq1pNWakVMlXMmYFW1UJQeQsthnJAFg3dC7mLoI3G+KDjXKb0tMjSMGMSQF11Nje+oFeWl1lEtpNxJb0hkXFjDgcUkNX9PeOL8/fffz6abbspWW23FwQcfzJ/+9KeVbvvss89ijGHGjBkr3abVarFkyZKeSVEURVEmHaVisSbTJGRCFYtddtmFiy66iG233ZbHH3+chQsXsvvuu3PPPfcwc+bMnm2bzSYf/ehHOfTQQ5k2bdpK93nWWWdxxhlnvNCHriirRc16EuNJbSA1ntTk7Nr+OrQn+sgUZXJhmg5cbOAnTvDWIgKZc4Vi4Z53H1nuqlRT481QA6dIVDDKeblMWSMmVLHYb7/9ePvb384OO+zAPvvsw09/+lMALrzwwp7tsizj4IMPJoTA1772tVXu87TTTuPZZ5+tpkceeeQFO35FURRFWW2CrPk0CZlwj0U3AwMD7LDDDtx///3VsizLeMc73sEDDzzA9ddfv0q1AqBer1Ov11/oQ1WU1eIT0z7Yu0BbpSvKsLimQZwhBMCBOCEXME5AwLmAWUWqpjFU7dLxdEp6h8JX0a1MVAWzXtCPNBQJcVqT109CJtXAotVqsWjRIl73utcBnUHF/fffzw033DAkPKIoiqKsm8SBBSAWnCDWRFtBImSAd4IpqnKaFbybPQOOPIZBTG4w5QCje6BRdjb1HuM9+Mn5Y702MaEDi5NOOon999+fLbbYgieeeIKFCxeyZMkSjjjiCPI85x//8R+58847ufLKK/Hes3jxYgA23HBDarXaRB66oiiKoqwZmm469vz5z3/mkEMO4amnnmLjjTdm11135dZbb2XLLbfkwQcf5IorrgDgla98Zc/rbrjhBvbaa6/xP2BFURRlXHBNkARMMIQkGjiDWCQRQqFcYFawCfb8zsYUU7vcYpsW14z7dC1wbcG1BZsFbFaoFXkAL+A940ZYsRTo6rx+8jGhA4tLLrlkpevmzZuHTNLRmKIoiqIowzOpPBaKoiiKAlFZkJxY2MqDuGikEG/ijXph6OxNH12hg6kY3KCNKkUTkha4lsSpUCxMFj0W5AGTewjjqFhoKERRFEVRlDGjaIC2Rq+fhOjAQlEURZl02AzEFyKEixMYQnemSJEOYgp1AikaipXzYEgGwbbAtUu1InosbDsqFLadYzIPuYcQNCtkDNCBhaIoiqJMBBoKURRFUZTxwWaFSmEglIqFgHExU0ScQWz0WHQ3GTOFRaKsVZEMgm1HxSJZXvgrWgHb8lGpyDxkeVQqQqFcjBchsEZVucLkVFcmvAmZoiiKoqzIfxy9L64dBxgxjDHM1DTFVKSSLo8DiWQZpM9B8lx8ng4K6aCQLBeSlmBbPoZC2jkmyyEvJz++P9braBMyHVgoiqIoijJmaChEURRFmZTYTACD2OjXNFLMfZyLK8py550S3dYDAVwW50lTcJlg20KyPGDbAdeMhk3TyiHLilBIVCskH8cGPuqxUBRFURRlzNDKm4qiKIoyfrg2IEUDMhsViWpuOo9t3mkuZjMwQXAZGC8kTcFmcUoGc0wWsMuzwrhZqBV5NG+KhPEt6b2OogMLRVEURZkARIrBzBq8fjKiAwtFURRlUmIzAYlppWKLglnWdDwWhWLh2lGlMJ5KqbCZYD3YdsDmgskltkfPw1BvwkR5FUTWLJwxST0WmhWiKIqiKMqYoYqFoiiKMilxLSkakBELZSUGMXFZLJxlomKRSScrpHhsfVQxyoZkRqTXJzkZ7vZlDc2bk+EzDIMOLBRFUZRJSRwwRPMmJqaVigPrDWLAumJA4aVj3iwfh2LeNagwIsXj4gd5xR/m8c6yCMVoaHWZpB4LDYUoiqIoijJmqGKhKIqiTEpsO4AzUXawBuMEjCEUc7EUnUy71Iki/GG8VOsIPG8Z7AnJsNBQiKIoiqIoY4WEgKxBKGSypptqKERRFEWZlHz5nDfjWgHXLkpxtwTbCiRFh9KkGUhaAdcuy3YHTFEMK/ouur0VxU6lUDC6/RQTVcFSm5ApiqIoiqKsGg2FKIqiKJMWm/nopzCAidkh4gxSPAZ6bApmuLt4oaNUTCaC0JFSVoNJqljowEJRFEWZtNimj9q66RpMlMZNY4ZsL+Wicp0BpDR3xsFFlXIahgknjOePtQhrNNqZpAMLDYUoiqIoijJmqGKhKIqiTFpsO49KBWDKW2FjKkWiXLcyVUOsKUyccTLPZ3wcRgV5oZAgyBqEQmSSKhY6sFAURVGUiUACaxYKmWymkYgOLBRFUZRJi2nn0SbRrSR0BfENgLWVWmFcVDPEGbA2qhxBMKHobBrC8N4KZczQgYWiKIqiTAAaClEURVGU8SbLgUKZ6FYtuh87iWqFBUJULwgGYwJio7xhvIfJplpoKGTtpBzRLVu2bIKPRFEURRkteWh1PVvJwAIbQyUCSBEWoQiJFPmnxgeM9xgfIOTF4CKLA4yQxfLYIuSSAeOjBuRka9QqJCcbu4MZQ9b5gcXSpUsB2GeffSb4SBRFUZS1haVLlzJ9+vQXZN+1Wo3Zs2dz8+KfrfG+Zs+eTa1WG4OjGjuMTNYgzRgRQuAvf/kLU6dOxYxjGtG6wpIlS5g7dy6PPPII06ZNm+jDWavRczm26PkcO/RcdhARli5dyqabboq1L1ypp2azSbvdXuP91Go1Go3GGBzR2LHOKxbWWjbffPOJPoy1nmnTpq33XzhjhZ7LsUXP59ih5zLyQikV3TQajUk3IBgrtPKmoiiKoihjhg4sFEVRFEUZM3RgoaySer3OJz7xCer1+kQfylqPnsuxRc/n2KHnUhlL1nnzpqIoiqIo44cqFoqiKIqijBk6sFAURVEUZczQgYWiKIqiKGOGDiwURVEURRkzdGChDMudd97Jvvvuy4wZM5g5cybve9/7eO6553q2efjhh9l///0ZGBhgo4024rjjjhuTSnLrIvfddx8HHHAAG220EdOmTeO1r30tN9xwQ882ej6fnxtvvBFjzLDTbbfdVm2n53J0/PSnP2WXXXahr6+PjTbaiIMOOqhnvZ5PZTTowEIZwl/+8hf22WcfXvziF/PrX/+aq666invuuYcjjzyy2sZ7z5vf/GaWLVvGzTffzCWXXMKll17KRz7ykYk78EnMm9/8ZvI85/rrr+eOO+7gla98JW95y1tYvHgxoOdzpOy+++489thjPdO//Mu/MG/ePF796lcDei5Hy6WXXsphhx3Gu9/9bv7f//t//PKXv+TQQw+t1uv5VEaNKMoKfOMb35BNNtlEvPfVsrvuuksAuf/++0VE5Gc/+5lYa+XRRx+ttvnP//xPqdfr8uyzz477MU9mnnzySQHkpptuqpYtWbJEALnuuutERM/n6tJut2WTTTaRT37yk9UyPZcjJ8sy2WyzzeTb3/72SrfR86mMFlUslCG0Wi1qtVpPA56+vj4Abr75ZgBuueUWXv7yl7PppptW28yfP59Wq8Udd9wxvgc8yZk5cybbbbcdF110EcuWLSPPc77xjW8wa9Ysdt55Z0DP5+pyxRVX8NRTT/WoaXouR86dd97Jo48+irWWnXbaiTlz5rDffvtxzz33VNvo+VRGiw4slCH8/d//PYsXL+Zzn/sc7Xabp59+mn/9138F4LHHHgNg8eLFzJo1q+d1G2ywAbVarZL3lYgxhmuvvZa77rqLqVOn0mg0+MIXvsBVV13FjBkzAD2fq8t3vvMd5s+fz9y5c6tlei5Hzp/+9CcAFixYwL/9279x5ZVXssEGG7Dnnnvyt7/9DdDzqYweHVisRyxYsGClxrdyuv3229l+++258MILOeecc+jv72f27NlsvfXWzJo1C+dctb/h2tCLyHrTnn6k51NEOOaYY9hkk034n//5H/73f/+XAw44gLe85S3VQA3W7/M50nPZzZ///GeuvvpqjjrqqCH7W5/PJYz8fIYQADj99NN5+9vfzs4778wFF1yAMYYf/vCH1f7W9/OpjI51vm260uHYY4/l4IMPXuU28+bNA+DQQw/l0EMP5fHHH2dgYABjDOeeey5bbbUVALNnz+bXv/51z2uffvppsiwbcnezrjLS83n99ddz5ZVX8vTTT1ctqb/2ta9x7bXXcuGFF/LRj350vT+fo/nfLLnggguYOXMmb33rW3uWr+/nEkZ+PpcuXQrAy172smp5vV5n66235uGHHwb0fCqjRwcW6xEbbbQRG2200aheU35xfPe736XRaLDvvvsCsNtuu/HpT3+axx57jDlz5gBwzTXXUK/XK9/Aus5Iz+fg4CBAj2elfF7eMa7v53O0/5siwgUXXMDhhx9OmqY969b3cwkjP58777wz9Xqde++9lz322AOALMt48MEH2XLLLQE9n8pqMJHOUWXy8uUvf1nuuOMOuffee+UrX/mK9PX1yRe/+MVqfZ7n8vKXv1z+4R/+Qe6880657rrrZPPNN5djjz12Ao96cvLkk0/KzJkz5aCDDpK7775b7r33XjnppJMkTVO5++67RUTP52i57rrrBJDf/e53Q9bpuRwdxx9/vGy22WZy9dVXy+9//3s56qijZJNNNpG//e1vIqLnUxk9OrBQhuWwww6TDTfcUGq1muy4445y0UUXDdnmoYcekje/+c3S19cnG264oRx77LHSbDYn4GgnP7fddpu84Q1vkA033FCmTp0qu+66q/zsZz/r2UbP58g55JBDZPfdd1/pej2XI6fdbstHPvIR2WSTTWTq1Kmyzz77yP/93//1bKPnUxkN2jZdURRFUZQxQ7NCFEVRFEUZM3RgoSiKoijKmKEDC0VRFEVRxgwdWCiKoiiKMmbowEJRFEVRlDFDBxaKoiiKoowZOrBQFEVRFGXM0IGFslaw1157ccIJJ6xT73vkkUdy4IEHrtE+5s2bVzWVeuaZZ1a63fe+972qk6oy9hx55JHV3+HHP/7xRB+OokwoOrBQlFVw2WWX8alPfap6Pm/ePM4777yJO6Bh+OQnP8ljjz3G9OnTJ/pQ1nluvPHGYQdxX/ziF3s61SrK+ow2IVOUVbDhhhtO9CE8L1OnTmX27NkTfRhAbGC1YlOw9YHp06frwE5RClSxUNZKnn76aQ4//HA22GAD+vv72W+//bj//vur9aX0f/XVV7PddtsxZcoU3vjGN/bcVeZ5znHHHceMGTOYOXMmp556KkcccURPeKI7FLLXXnvx0EMP8eEPf7iSvQEWLFjAK1/5yp7jO++883rafHvvOfHEE6v3OuWUU1ixmr6IcPbZZ7P11lvT19fHK17xCn70ox+t1vn53ve+xxZbbEF/fz9ve9vb+Otf/zpkm5/85CfsvPPONBoNtt56a8444wzyPK/W//73v2ePPfag0Wjwspe9jOuuu65H6n/wwQcxxvCDH/yAvfbai0ajwX/8x38AsaX5dtttR6PR4KUvfSlf+9rXet770Ucf5Z3vfCcbbLABM2fO5IADDuDBBx+s1t9444285jWvYWBggBkzZvDa176Whx56aESf/fk+17nnnssOO+zAwMAAc+fO5ZhjjuG5556r1j/00EPsv//+bLDBBgwMDLD99tvzs5/9jAcffJC9994bgA022ABjDEceeeSIjklR1id0YKGslRx55JHcfvvtXHHFFdxyyy2ICG9605vIsqzaZnBwkM9//vP8+7//OzfddBMPP/wwJ510UrX+s5/9LBdffDEXXHABv/zlL1myZMkq4+OXXXYZm2++eRV6GI30fc455/Dd736X73znO9x888387W9/4/LLL+/Z5t/+7d+44IIL+PrXv84999zDhz/8Yf75n/+ZX/ziFyM/McCvf/1r3vOe93DMMcdw9913s/fee7Nw4cKeba6++mr++Z//meOOO47f/e53fOMb3+B73/sen/70pwEIIXDggQfS39/Pr3/9a775zW9y+umnD/t+p556KscddxyLFi1i/vz5fOtb3+L000/n05/+NIsWLeLMM8/kYx/7GBdeeCEQ/y577703U6ZM4aabbuLmm2+uBn7tdps8zznwwAPZc889+c1vfsMtt9zC+973vmogtyqe73NBbFf/pS99if/7v//jwgsv5Prrr+eUU06p1n/wgx+k1Wpx00038dvf/pbPfvazTJkyhblz53LppZcCcO+99/LYY4/xxS9+cVR/G0VZL5jQFmiKMkL23HNPOf7440VE5L777hNAfvnLX1brn3rqKenr65Mf/OAHIiJywQUXCCB/+MMfqm2++tWvyqxZs6rns2bNks997nPV8zzPZYsttpADDjhg2PcVEdlyyy3lC1/4Qs+xfeITn5BXvOIVPcu+8IUvyJZbblk9nzNnjnzmM5+pnmdZJptvvnn1Xs8995w0Gg351a9+1bOfo446Sg455JCVnpfhjueQQw6RN77xjT3L3vnOd8r06dOr56973evkzDPP7Nnm3//932XOnDkiIvLzn/9ckiSRxx57rFp/7bXXCiCXX365iIg88MADAsh5553Xs5+5c+fK97///Z5ln/rUp2S33XYTEZHvfOc78pKXvERCCNX6VqslfX19cvXVV8tf//pXAeTGG29c6edeGc/3uYbjBz/4gcycObN6vsMOO8iCBQuG3faGG24QQJ5++ulh13efH0VZX1GPhbLWsWjRIpIkYZdddqmWzZw5k5e85CUsWrSoWtbf38+LXvSi6vmcOXN44oknAHj22Wd5/PHHec1rXlOtd86x8847E0IY0+N99tlneeyxx9htt92qZUmS8OpXv7oKh/zud7+j2Wyy77779ry23W6z0047jer9Fi1axNve9raeZbvtthtXXXVV9fyOO+7gtttu67mT997TbDYZHBzk3nvvZe7cuT3eje5z1c2rX/3q6vGTTz7JI488wlFHHcV73/veanme55UH4Y477uAPf/gDU6dO7dlPs9nkj3/8I294wxs48sgjmT9/Pvvuuy/77LMP73jHO5gzZ87zfvbn+1z9/f3ccMMNnHnmmfzud79jyZIl5HlOs9lk2bJlDAwMcNxxx/GBD3yAa665hn322Ye3v/3t7Ljjjs/73oqiRHRgoax1yArehO7l3XL5iiZCY8yQ164or69s36vCWjvkdd0hmZFQDmZ++tOfstlmm/Wsq9fro9rXSD5DCIEzzjiDgw46aMi6RqMx5FyuioGBgZ79AnzrW9/qGfhBHLiV2+y8885cfPHFQ/a18cYbA9Gjcdxxx3HVVVfxX//1X/zbv/0b1157Lbvuuusafa6HHnqIN73pTRx99NF86lOfYsMNN+Tmm2/mqKOOqv5m//Iv/8L8+fP56U9/yjXXXMNZZ53FOeecw4c+9KERnQ9FWd/RgYWy1vGyl72MPM/59a9/ze677w7AX//6V+677z622267Ee1j+vTpzJo1i//93//lda97HRDvbO+6664hRsxuarUa3vueZRtvvDGLFy/u+TG+++67e95rzpw53Hrrrbz+9a8H4h38HXfcwate9arqM9XrdR5++GH23HPPEX2GlfGyl72MW2+9tWfZis9f9apXce+99/LiF7942H289KUv5eGHH+bxxx9n1qxZANx2223P+96zZs1is802409/+hPvete7ht3mVa96Ff/1X//FJptswrRp01a6r5122omddtqJ0047jd12243vf//7zzuweL7Pdfvtt5PnOeeccw7WRovZD37wgyHbzZ07l6OPPpqjjz6a0047jW9961t86EMfolarAQz5H1AUpYMOLJS1jm222YYDDjiA9773vXzjG99g6tSpfPSjH2WzzTbjgAMOGPF+PvShD3HWWWfx4he/mJe+9KV8+ctf5umnn17lnfq8efO46aabOPjgg6nX62y00UbstddePPnkk5x99tn84z/+I1dddRU///nPe340jz/+eD7zmc+wzTbbsN1223Huuef21EKYOnUqJ510Eh/+8IcJIbDHHnuwZMkSfvWrXzFlyhSOOOKIEX+u4447jt13352zzz6bAw88kGuuuaYnDALw8Y9/nLe85S3MnTuXf/qnf8Jay29+8xt++9vfsnDhQvbdd19e9KIXccQRR3D22WezdOnSyrz5fErGggULOO6445g2bRr77bcfrVaL22+/naeffpoTTzyRd73rXXzuc5/jgAMO4JOf/CSbb745Dz/8MJdddhknn3wyWZbxzW9+k7e+9a1suumm3Hvvvdx3330cfvjhz/vZn+9zvehFLyLPc7785S+z//7788tf/pLzzz+/Zx8nnHAC++23H9tuuy1PP/00119/fTVg3XLLLTHGcOWVV/KmN72Jvr4+pkyZMuK/jaKsF0yYu0NRRsGKJsq//e1vcthhh8n06dOlr69P5s+fL/fdd1+1/oILLugxK4qIXH755dL9L59lmRx77LEybdo02WCDDeTUU0+Vf/qnf5KDDz54pe97yy23yI477ij1er1nX1//+tdl7ty5MjAwIIcffrh8+tOf7jFvZlkmxx9/vEybNk1mzJghJ554ohx++OE9RtEQgnzxi1+Ul7zkJZKmqWy88cYyf/58+cUvfrHS8zKceVMkGiQ333xz6evrk/33318+//nPDzkfV111ley+++7S19cn06ZNk9e85jXyzW9+s1q/aNEiee1rXyu1Wk1e+tKXyk9+8hMB5KqrrhKRjnnzrrvuGvL+F198sbzyla+UWq0mG2ywgbz+9a+Xyy67rFr/2GOPyeGHHy4bbbSR1Ot12XrrreW9732vPPvss7J48WI58MADZc6cOVKr1WTLLbeUj3/84+K9X+l5GM3nOvfcc2XOnDnV/81FF13UY8g89thj5UUvepHU63XZeOON5bDDDpOnnnqqev0nP/lJmT17thhj5Igjjuh5b9S8qShiRFYjqKwo6yAhBLbbbjve8Y539FTbnMzMmzePE044YVzKnf/yl79kjz324A9/+EOPKVbpYIzh8ssvX+NS7YqyNqN1LJT1loceeohvfetb3Hffffz2t7/lAx/4AA888ACHHnroRB/aqDj11FOZMmUKzz777Jju9/LLL+faa6/lwQcf5LrrruN973sfr33ta3VQMQxHH320hkQUpUAVC2W95ZFHHuHggw/m//7v/xARXv7yl/OZz3ymMliuDTz00ENVNsPWW29dGRLHgosuuohPfepTPPLII2y00Ubss88+nHPOOcycOXPM3mO0bL/99iutwPmNb3xjpYbRF5onnniCJUuWADGtuTtTRlHWN3RgoSjKWkP3QGpFZs2aNaQ2hqIo448OLBRFURRFGTPUY6EoiqIoypihAwtFURRFUcYMHVgoiqIoijJm6MBCURRFUZQxQwcWiqIoiqKMGTqwUBRFURRlzNCBhaIoiqIoY4YOLBRFURRFGTP+f+Y0JJ0qJ2oYAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# xesmf/frontend.py:476: FutureWarning: ``output_sizes`` should be given in the ``dask_gufunc_kwargs`` parameter. It will be removed as direct parameter in a future version.\n",
    "warnings.filterwarnings(\"ignore\", category=FutureWarning)\n",
    "\n",
    "# Apply the regridding weights to the input sea ice concentration data\n",
    "sic_bil = reg_bil(ds_in.siconc)\n",
    "\n",
    "# Plot the results\n",
    "sic_bil.isel(time=0).plot(cmap=cmap)\n",
    "plt.title(\"Regridded sic data (Jan 2020)\");"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "13",
   "metadata": {},
   "source": [
    "The output now has the same grid as the target! The regridding operation was broadcasted along the non spatial dimensions (here `time`), so that all time steps were regridded using the same pre-computed weights.\n",
    "\n",
    "## Second example : Conservative regridding and reusing weights\n",
    "\n",
    "xESMF provides the following regridding methods : \"bilinear\", \"conservative\", \"conservative_normed\", \"nearest_s2d\", \"nearest_d2s\" and \"patch\" (see [method descriptions](https://earthsystemmodeling.org/regrid/#regridding-methods)). Conservative methods preserve areal averages, and for these methods we need to provide the coordinates of the grid cells' corners rather than the coordinates at the cells center.\n",
    "\n",
    "### Untangling corners definitions\n",
    "\n",
    "Before we go further, it's worth highlighting differences between xESMF's description of corner coordinates and how the same information is stored in CF-compliant files. \n",
    "\n",
    "For an `N x M` lon/lat grid,  xESMF expects an array with one element more than the coordinates. For example, on a regular grid, the corner of point at `lon[0]` are given by `lon_b[0]` and `lon_b[1]`. However, in a typical CF-compliant file, *grid corner* information is in an array of shape (N, 2) typically called `lon_bounds` and `lat_bounds`. Thus, the western and eastern corners of point at `lon[0]` are given by `lon_corners[0, 0]` and `lon_corners[0, 1]`. \n",
    "\n",
    "The `cf_xarray` package differentiates the two concepts by naming the CF-compliant one \"bounds\" and the xESMF one \"vertices\". However, CF conventions sometime uses vertices and bound interchangeably, and in our model dataset, the `vertices_longitude` variable stores corners according to the \"bounds\" definition...  We will nevetheless stick with `cf_xarray`'s nomenclature in the following.\n",
    "\n",
    "The table below summarizes the difference between the two versions:\n",
    "\n",
    "|                        | bounds    | vertices   |\n",
    "|------------------------|-------------|--------------|\n",
    "| CF-compliant           | Yes         | No           |\n",
    "| Shape (regular grid)   | (N, 2)      | (N+1,)       |\n",
    "| Shape (irregular grid) | (Nx, Ny, 4) | (Nx+1, Ny+1) |\n",
    "\n",
    "\n",
    "### Computing the corners\n",
    "\n",
    "The corners of regular grids (1D lat/lon) are infered automatically if not given. This will be the case for our `ds_tgt` dataset.\n",
    "\n",
    "For irregular grids, `xESMF` will check for variables `lon_b` and `lat_b`, or try automatic detection with the help of `cf_xarray`. If they are found, it uses `cf_xarray`'s method to convert from the CF-compliant \"bounds\" to the required \"vertices\" syntax. However, a small bug in xESMF 0.5.2 prevents use from using this feature with our model dataset. We will convert the corner variables ourselves from the CF-compliant format we have to the format xESMF expects."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "14",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Get the bounds variable and convert them to \"vertices\" format\n",
    "# Order=none, means that we do not know if the bounds are listed clockwise or counterclockwise, so we ask cf_xarray to try both.\n",
    "lat_corners = cfxr.bounds_to_vertices(ds_in.vertices_latitude, \"vertices\", order=None)\n",
    "lon_corners = cfxr.bounds_to_vertices(ds_in.vertices_longitude, \"vertices\", order=None)\n",
    "ds_in_crns = ds_in.assign(lon_b=lon_corners, lat_b=lat_corners)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "15",
   "metadata": {},
   "source": [
    "### Regridding\n",
    "\n",
    "The regridding process is as simple as above now that `ds_in_crns` contains the corner coordinates (`lon_b`, `lat_b`). Here we also pass a filename, so that the weights are saved to disk and can be reused (see below)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "16",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "xESMF Regridder \n",
      "Regridding algorithm:       conservative \n",
      "Weight filename:            conservative_regridder.nc \n",
      "Reuse pre-computed weights? False \n",
      "Input grid shape:           (291, 360) \n",
      "Output grid shape:          (207, 570) \n",
      "Periodic in longitude?      False\n",
      "CPU times: user 4.74 s, sys: 44.5 ms, total: 4.78 s\n",
      "Wall time: 4.78 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "reg_cons = xe.Regridder(\n",
    "    ds_in_crns, ds_tgt, \"conservative\", filename=\"conservative_regridder.nc\"\n",
    ")\n",
    "print(reg_cons)\n",
    "\n",
    "# Regrid as before\n",
    "sic_cons = reg_cons(ds_in_crns.siconc)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "17",
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1400x400 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Now let's look at the results\n",
    "fig, axs = plt.subplots(nrows=1, ncols=3, figsize=(14, 4))\n",
    "\n",
    "sic_bil.isel(time=0).plot(ax=axs[0], cmap=cmap)\n",
    "axs[0].set_title(\"Method: Bilinear\")\n",
    "\n",
    "sic_cons.isel(time=0).plot(ax=axs[1], cmap=cmap)\n",
    "axs[1].set_title(\"Method: Conservative\")\n",
    "\n",
    "# A divergent colormap with gray on missing values\n",
    "cmap_div = copy.copy(plt.cm.get_cmap(\"RdBu\"))\n",
    "cmap_div.set_bad(\"lightgray\")\n",
    "(sic_bil - sic_cons).isel(time=0).plot(ax=axs[2], cmap=cmap_div, vmin=-40, vmax=40)\n",
    "diff_NaNs = (sic_bil.isnull() ^ sic_cons.isnull()).isel(time=0)\n",
    "diff_NaNs.where(diff_NaNs).plot(\n",
    "    cmap=plt.cm.Greens, ax=axs[2], vmin=0, add_colorbar=False\n",
    ")\n",
    "axs[2].set_title(\n",
    "    \"Bilinear minus Conservative\\nGreen indicates missing values in one but not the other\"\n",
    ")\n",
    "fig.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "18",
   "metadata": {},
   "source": [
    "As we can see, \"bilinear\" regridding results in a smooth output field, while \"conservative\" results preserves the original data's coarser resolution. In the last panel, the green cells show that the two methods have different missing values results. In our case of increasing resolution, there will often be more missing values when using \"bilinear\". The next example explains how xESMF can explictely manage missing values. But before, we look at the reusability of the weights generated by xESMF.\n",
    "\n",
    "### Reusing weights\n",
    "\n",
    "The weights of the previous regridding have been written to disk. We can simply reuse them by specifying that filename and passing `reuse_weights=True`. You'll notice how faster the process is, as we don't compute the weights again."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "19",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "xESMF Regridder \n",
      "Regridding algorithm:       conservative \n",
      "Weight filename:            conservative_regridder.nc \n",
      "Reuse pre-computed weights? True \n",
      "Input grid shape:           (291, 360) \n",
      "Output grid shape:          (207, 570) \n",
      "Periodic in longitude?      False\n",
      "CPU times: user 168 ms, sys: 37.9 ms, total: 206 ms\n",
      "Wall time: 164 ms\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "reg_bis = xe.Regridder(\n",
    "    ds_in_crns,\n",
    "    ds_tgt,\n",
    "    \"conservative\",\n",
    "    reuse_weights=True,\n",
    "    filename=\"conservative_regridder.nc\",\n",
    ")\n",
    "print(reg_bis)\n",
    "\n",
    "# Regrid as before\n",
    "sic_bis = reg_bis(ds_in_crns.siconc)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "20",
   "metadata": {},
   "source": [
    "## Third example : Regridding and masks\n",
    "\n",
    "By defaut, xESMF doesn't handle missing values in a special way, so when they are present in the input data they often bleed into the regridded field, especially when decreasing resolution. This example demonstrates this bleeding effect and how it can be mitigated using masks.\n",
    "\n",
    "We will use a global model dataset and try to regrid the NRCAN observation unto the global grid, thus decreasing the resolution.\n",
    "\n",
    "\n",
    "### Target grid and mask\n",
    "\n",
    "The target grid will be the CanESM2 model grid, but with the ocean masked. In the following, we fetch both the \"tasmin\" data for the same date as the obs and the \"sftlf\" mask so we can obtain a land mask (land fraction above 0.25)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "21",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (time: 1, bounds: 2, lat: 64, lon: 128)\n",
       "Coordinates:\n",
       "  * lat        (lat) float64 -87.86 -85.1 -82.31 -79.53 ... 82.31 85.1 87.86\n",
       "  * lon        (lon) float64 0.0 2.812 5.625 8.438 ... 348.8 351.6 354.4 357.2\n",
       "    height     float64 2.0\n",
       "Dimensions without coordinates: time, bounds\n",
       "Data variables:\n",
       "    time_bnds  (time, bounds) object 1993-05-20 00:00:00 1993-05-21 00:00:00\n",
       "    lat_bnds   (lat, bounds) float64 -90.0 -86.48 -86.48 ... 86.48 86.48 90.0\n",
       "    lon_bnds   (lon, bounds) float64 -1.406 1.406 1.406 ... 355.8 355.8 358.6\n",
       "    tasmin     (time, lat, lon) float32 208.3 207.9 207.4 206.8 ... nan nan nan\n",
       "Attributes: (12/32)\n",
       "    institution:                     CCCma (Canadian Centre for Climate Model...\n",
       "    institute_id:                    CCCma\n",
       "    experiment_id:                   historical\n",
       "    source:                          CanESM2 2010 atmosphere: CanAM4 (AGCM15i...\n",
       "    model_id:                        CanESM2\n",
       "    forcing:                         GHG,Oz,SA,BC,OC,LU,Sl,Vl (GHG includes C...\n",
       "    ...                              ...\n",
       "    title:                           CanESM2 model output prepared for CMIP5 ...\n",
       "    parent_experiment:               pre-industrial control\n",
       "    modeling_realm:                  atmos\n",
       "    realization:                     1\n",
       "    cmor_version:                    2.5.4\n",
       "    DODS_EXTRA.Unlimited_Dimension:  time</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-e2ba32ec-ac5b-42f1-8014-277962ff9db5' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e2ba32ec-ac5b-42f1-8014-277962ff9db5' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>time</span>: 1</li><li><span>bounds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 64</li><li><span class='xr-has-index'>lon</span>: 128</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-ab37457b-fdc8-4d34-8c1f-1a79f369ae85' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ab37457b-fdc8-4d34-8c1f-1a79f369ae85' 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'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-87.86 -85.1 -82.31 ... 85.1 87.86</div><input id='attrs-151074b9-3b0a-482c-948c-65eefb50c216' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-151074b9-3b0a-482c-948c-65eefb50c216' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bfcb2985-c0db-4f23-a326-ea9bae4a42e9' class='xr-var-data-in' type='checkbox'><label for='data-bfcb2985-c0db-4f23-a326-ea9bae4a42e9' 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>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-87.863801, -85.096529, -82.312915, -79.525609, -76.736902, -73.947518,\n",
       "       -71.157755, -68.367759, -65.57761 , -62.787354, -59.997023, -57.206634,\n",
       "       -54.416202, -51.625736, -48.835243, -46.044729, -43.254197, -40.463651,\n",
       "       -37.673092, -34.882523, -32.091946, -29.301362, -26.510772, -23.720176,\n",
       "       -20.929577, -18.138973, -15.348367, -12.557759,  -9.767148,  -6.976536,\n",
       "        -4.185923,  -1.395309,   1.395309,   4.185923,   6.976536,   9.767148,\n",
       "        12.557759,  15.348367,  18.138973,  20.929577,  23.720176,  26.510772,\n",
       "        29.301362,  32.091946,  34.882523,  37.673092,  40.463651,  43.254197,\n",
       "        46.044729,  48.835243,  51.625736,  54.416202,  57.206634,  59.997023,\n",
       "        62.787354,  65.57761 ,  68.367759,  71.157755,  73.947518,  76.736902,\n",
       "        79.525609,  82.312915,  85.096529,  87.863801])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 2.812 5.625 ... 354.4 357.2</div><input id='attrs-62d913ac-349a-4bf7-ab9f-a7459c67d056' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-62d913ac-349a-4bf7-ab9f-a7459c67d056' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3af9e939-2d82-47de-8c77-634025083339' class='xr-var-data-in' type='checkbox'><label for='data-3af9e939-2d82-47de-8c77-634025083339' 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>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.    ,   2.8125,   5.625 ,   8.4375,  11.25  ,  14.0625,  16.875 ,\n",
       "        19.6875,  22.5   ,  25.3125,  28.125 ,  30.9375,  33.75  ,  36.5625,\n",
       "        39.375 ,  42.1875,  45.    ,  47.8125,  50.625 ,  53.4375,  56.25  ,\n",
       "        59.0625,  61.875 ,  64.6875,  67.5   ,  70.3125,  73.125 ,  75.9375,\n",
       "        78.75  ,  81.5625,  84.375 ,  87.1875,  90.    ,  92.8125,  95.625 ,\n",
       "        98.4375, 101.25  , 104.0625, 106.875 , 109.6875, 112.5   , 115.3125,\n",
       "       118.125 , 120.9375, 123.75  , 126.5625, 129.375 , 132.1875, 135.    ,\n",
       "       137.8125, 140.625 , 143.4375, 146.25  , 149.0625, 151.875 , 154.6875,\n",
       "       157.5   , 160.3125, 163.125 , 165.9375, 168.75  , 171.5625, 174.375 ,\n",
       "       177.1875, 180.    , 182.8125, 185.625 , 188.4375, 191.25  , 194.0625,\n",
       "       196.875 , 199.6875, 202.5   , 205.3125, 208.125 , 210.9375, 213.75  ,\n",
       "       216.5625, 219.375 , 222.1875, 225.    , 227.8125, 230.625 , 233.4375,\n",
       "       236.25  , 239.0625, 241.875 , 244.6875, 247.5   , 250.3125, 253.125 ,\n",
       "       255.9375, 258.75  , 261.5625, 264.375 , 267.1875, 270.    , 272.8125,\n",
       "       275.625 , 278.4375, 281.25  , 284.0625, 286.875 , 289.6875, 292.5   ,\n",
       "       295.3125, 298.125 , 300.9375, 303.75  , 306.5625, 309.375 , 312.1875,\n",
       "       315.    , 317.8125, 320.625 , 323.4375, 326.25  , 329.0625, 331.875 ,\n",
       "       334.6875, 337.5   , 340.3125, 343.125 , 345.9375, 348.75  , 351.5625,\n",
       "       354.375 , 357.1875])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>height</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6df8d7bd-af94-4e0c-8bef-e3a1d62d483d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6df8d7bd-af94-4e0c-8bef-e3a1d62d483d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-98edd2a0-91df-442f-a27b-e7a62d9653c3' class='xr-var-data-in' type='checkbox'><label for='data-98edd2a0-91df-442f-a27b-e7a62d9653c3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>up</dd><dt><span>long_name :</span></dt><dd>height</dd><dt><span>standard_name :</span></dt><dd>height</dd></dl></div><div class='xr-var-data'><pre>array(2.)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-bb12d923-3ef1-44de-b7bc-b3245b135efa' class='xr-section-summary-in' type='checkbox'  checked><label for='section-bb12d923-3ef1-44de-b7bc-b3245b135efa' class='xr-section-summary' >Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bounds)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0bb49e05-78c8-4416-a37b-7a8425ba3a10' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0bb49e05-78c8-4416-a37b-7a8425ba3a10' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1041853f-e57c-4ccd-af7d-c46c0cfaf2a2' class='xr-var-data-in' type='checkbox'><label for='data-1041853f-e57c-4ccd-af7d-c46c0cfaf2a2' 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([[cftime.DatetimeNoLeap(1993, 5, 20, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1993, 5, 21, 0, 0, 0, 0, has_year_zero=True)]],\n",
       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bounds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-33d77e0a-14dd-406a-be5a-d7eb0a8eef82' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-33d77e0a-14dd-406a-be5a-d7eb0a8eef82' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-20a22c6f-7625-4476-a7d6-481265322cc3' class='xr-var-data-in' type='checkbox'><label for='data-20a22c6f-7625-4476-a7d6-481265322cc3' 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([[-90.      , -86.480165],\n",
       "       [-86.480165, -83.704722],\n",
       "       [-83.704722, -80.919262],\n",
       "       [-80.919262, -78.131256],\n",
       "       [-78.131256, -75.34221 ],\n",
       "       [-75.34221 , -72.552636],\n",
       "       [-72.552636, -69.762757],\n",
       "       [-69.762757, -66.972684],\n",
       "       [-66.972684, -64.182482],\n",
       "       [-64.182482, -61.392188],\n",
       "       [-61.392188, -58.601828],\n",
       "       [-58.601828, -55.811418],\n",
       "       [-55.811418, -53.020969],\n",
       "       [-53.020969, -50.23049 ],\n",
       "       [-50.23049 , -47.439986],\n",
       "       [-47.439986, -44.649463],\n",
       "       [-44.649463, -41.858924],\n",
       "       [-41.858924, -39.068371],\n",
       "       [-39.068371, -36.277808],\n",
       "       [-36.277808, -33.487235],\n",
       "       [-33.487235, -30.696654],\n",
       "       [-30.696654, -27.906067],\n",
       "       [-27.906067, -25.115474],\n",
       "       [-25.115474, -22.324877],\n",
       "       [-22.324877, -19.534275],\n",
       "       [-19.534275, -16.74367 ],\n",
       "       [-16.74367 , -13.953063],\n",
       "       [-13.953063, -11.162453],\n",
       "       [-11.162453,  -8.371842],\n",
       "       [ -8.371842,  -5.58123 ],\n",
       "       [ -5.58123 ,  -2.790616],\n",
       "       [ -2.790616,   0.      ],\n",
       "       [  0.      ,   2.790616],\n",
       "       [  2.790616,   5.58123 ],\n",
       "       [  5.58123 ,   8.371842],\n",
       "       [  8.371842,  11.162453],\n",
       "       [ 11.162453,  13.953063],\n",
       "       [ 13.953063,  16.74367 ],\n",
       "       [ 16.74367 ,  19.534275],\n",
       "       [ 19.534275,  22.324877],\n",
       "       [ 22.324877,  25.115474],\n",
       "       [ 25.115474,  27.906067],\n",
       "       [ 27.906067,  30.696654],\n",
       "       [ 30.696654,  33.487235],\n",
       "       [ 33.487235,  36.277808],\n",
       "       [ 36.277808,  39.068371],\n",
       "       [ 39.068371,  41.858924],\n",
       "       [ 41.858924,  44.649463],\n",
       "       [ 44.649463,  47.439986],\n",
       "       [ 47.439986,  50.23049 ],\n",
       "       [ 50.23049 ,  53.020969],\n",
       "       [ 53.020969,  55.811418],\n",
       "       [ 55.811418,  58.601828],\n",
       "       [ 58.601828,  61.392188],\n",
       "       [ 61.392188,  64.182482],\n",
       "       [ 64.182482,  66.972684],\n",
       "       [ 66.972684,  69.762757],\n",
       "       [ 69.762757,  72.552636],\n",
       "       [ 72.552636,  75.34221 ],\n",
       "       [ 75.34221 ,  78.131256],\n",
       "       [ 78.131256,  80.919262],\n",
       "       [ 80.919262,  83.704722],\n",
       "       [ 83.704722,  86.480165],\n",
       "       [ 86.480165,  90.      ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bounds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3f6b248a-8dd8-4e9c-80ee-c216260dfd74' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3f6b248a-8dd8-4e9c-80ee-c216260dfd74' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d618debd-3e12-4380-8a70-bdcc3c0a3419' class='xr-var-data-in' type='checkbox'><label for='data-d618debd-3e12-4380-8a70-bdcc3c0a3419' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ -1.40625,   1.40625],\n",
       "       [  1.40625,   4.21875],\n",
       "       [  4.21875,   7.03125],\n",
       "       ...,\n",
       "       [350.15625, 352.96875],\n",
       "       [352.96875, 355.78125],\n",
       "       [355.78125, 358.59375]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tasmin</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>208.3 207.9 207.4 ... nan nan nan</div><input id='attrs-a159be79-314e-4508-99fe-232b6288c4fa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a159be79-314e-4508-99fe-232b6288c4fa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-32ed865b-d37c-4d1f-8614-555c99471719' class='xr-var-data-in' type='checkbox'><label for='data-32ed865b-d37c-4d1f-8614-555c99471719' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>long_name :</span></dt><dd>Daily Minimum Near-Surface Air Temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>original_name :</span></dt><dd>STMN</dd><dt><span>cell_methods :</span></dt><dd>time: minimum (interval: 15 minutes)</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>history :</span></dt><dd>2011-04-14T00:23:54Z altered by CMOR: Treated scalar dimension: &#x27;height&#x27;. 2011-04-14T00:23:54Z altered by CMOR: replaced missing value flag (1e+38) with standard missing value (1e+20).</dd><dt><span>associated_files :</span></dt><dd>baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_CanESM2_historical_r0i0p0.nc areacella: areacella_fx_CanESM2_historical_r0i0p0.nc</dd></dl></div><div class='xr-var-data'><pre>array([[[208.26923, 207.8905 , 207.408  , ..., 209.4509 , 209.03212,\n",
       "         208.63884],\n",
       "        [206.06064, 205.12477, 204.41832, ..., 210.12457, 208.56055,\n",
       "         207.21501],\n",
       "        [205.3287 , 204.32547, 203.43512, ..., 210.56339, 208.37483,\n",
       "         206.63419],\n",
       "        ...,\n",
       "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "               nan],\n",
       "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "               nan],\n",
       "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "               nan]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4e54a56a-1b41-42e3-9813-4a1dcbf1f644' class='xr-section-summary-in' type='checkbox'  ><label for='section-4e54a56a-1b41-42e3-9813-4a1dcbf1f644' class='xr-section-summary' >Attributes: <span>(32)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>institution :</span></dt><dd>CCCma (Canadian Centre for Climate Modelling and Analysis, Victoria, BC, Canada)</dd><dt><span>institute_id :</span></dt><dd>CCCma</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>source :</span></dt><dd>CanESM2 2010 atmosphere: CanAM4 (AGCM15i, T63L35) ocean: CanOM4 (OGCM4.0, 256x192L40) and CMOC1.2 sea ice: CanSIM1 (Cavitating Fluid, T63 Gaussian Grid) land: CLASS2.7 and CTEM1</dd><dt><span>model_id :</span></dt><dd>CanESM2</dd><dt><span>forcing :</span></dt><dd>GHG,Oz,SA,BC,OC,LU,Sl,Vl (GHG includes CO2,CH4,N2O,CFC11,effective CFC12)</dd><dt><span>parent_experiment_id :</span></dt><dd>piControl</dd><dt><span>parent_experiment_rip :</span></dt><dd>r1i1p1</dd><dt><span>branch_time :</span></dt><dd>171915.0</dd><dt><span>contact :</span></dt><dd>cccma_info@ec.gc.ca</dd><dt><span>references :</span></dt><dd>http://www.cccma.ec.gc.ca/models</dd><dt><span>initialization_method :</span></dt><dd>1</dd><dt><span>physics_version :</span></dt><dd>1</dd><dt><span>tracking_id :</span></dt><dd>41050cdf-8acf-4227-a192-3264026d45de</dd><dt><span>branch_time_YMDH :</span></dt><dd>2321:01:01:00</dd><dt><span>CCCma_runid :</span></dt><dd>IGM</dd><dt><span>CCCma_parent_runid :</span></dt><dd>IGA</dd><dt><span>CCCma_data_licence :</span></dt><dd>1) GRANT OF LICENCE - The Government of Canada (Environment Canada) is the \n",
       "owner of all intellectual property rights (including copyright) that may exist in this Data \n",
       "product. You (as &quot;The Licensee&quot;) are hereby granted a non-exclusive, non-assignable, \n",
       "non-transferable unrestricted licence to use this data product for any purpose including \n",
       "the right to share these data with others and to make value-added and derivative \n",
       "products from it. This licence is not a sale of any or all of the owner&#x27;s rights.\n",
       "2) NO WARRANTY - This Data product is provided &quot;as-is&quot;; it has not been designed or \n",
       "prepared to meet the Licensee&#x27;s particular requirements. Environment Canada makes no \n",
       "warranty, either express or implied, including but not limited to, warranties of \n",
       "merchantability and fitness for a particular purpose. In no event will Environment Canada \n",
       "be liable for any indirect, special, consequential or other damages attributed to the \n",
       "Licensee&#x27;s use of the Data product.</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>experiment :</span></dt><dd>historical</dd><dt><span>frequency :</span></dt><dd>day</dd><dt><span>creation_date :</span></dt><dd>2011-04-14T00:23:54Z</dd><dt><span>history :</span></dt><dd>2011-04-14T00:23:54Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.</dd><dt><span>Conventions :</span></dt><dd>CF-1.4</dd><dt><span>project_id :</span></dt><dd>CMIP5</dd><dt><span>table_id :</span></dt><dd>Table day (28 March 2011) f9d6cfec5981bb8be1801b35a81002f0</dd><dt><span>title :</span></dt><dd>CanESM2 model output prepared for CMIP5 historical</dd><dt><span>parent_experiment :</span></dt><dd>pre-industrial control</dd><dt><span>modeling_realm :</span></dt><dd>atmos</dd><dt><span>realization :</span></dt><dd>1</dd><dt><span>cmor_version :</span></dt><dd>2.5.4</dd><dt><span>DODS_EXTRA.Unlimited_Dimension :</span></dt><dd>time</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (time: 1, bounds: 2, lat: 64, lon: 128)\n",
       "Coordinates:\n",
       "  * lat        (lat) float64 -87.86 -85.1 -82.31 -79.53 ... 82.31 85.1 87.86\n",
       "  * lon        (lon) float64 0.0 2.812 5.625 8.438 ... 348.8 351.6 354.4 357.2\n",
       "    height     float64 ...\n",
       "Dimensions without coordinates: time, bounds\n",
       "Data variables:\n",
       "    time_bnds  (time, bounds) object ...\n",
       "    lat_bnds   (lat, bounds) float64 ...\n",
       "    lon_bnds   (lon, bounds) float64 ...\n",
       "    tasmin     (time, lat, lon) float32 208.3 207.9 207.4 206.8 ... nan nan nan\n",
       "Attributes: (12/32)\n",
       "    institution:                     CCCma (Canadian Centre for Climate Model...\n",
       "    institute_id:                    CCCma\n",
       "    experiment_id:                   historical\n",
       "    source:                          CanESM2 2010 atmosphere: CanAM4 (AGCM15i...\n",
       "    model_id:                        CanESM2\n",
       "    forcing:                         GHG,Oz,SA,BC,OC,LU,Sl,Vl (GHG includes C...\n",
       "    ...                              ...\n",
       "    title:                           CanESM2 model output prepared for CMIP5 ...\n",
       "    parent_experiment:               pre-industrial control\n",
       "    modeling_realm:                  atmos\n",
       "    realization:                     1\n",
       "    cmor_version:                    2.5.4\n",
       "    DODS_EXTRA.Unlimited_Dimension:  time"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# NBVAL_IGNORE_OUTPUT\n",
    "\n",
    "# Model data for tasmin\n",
    "ds_tgt = xr.open_dataset(\n",
    "    \"https://pavics.ouranos.ca/twitcher/ows/proxy/thredds/dodsC/birdhouse/cccma/CanESM2/historical/day/atmos/r1i1p1/tasmin/tasmin_day_CanESM2_historical_r1i1p1_18500101-20051231.nc\"\n",
    ")\n",
    "# Land-sea fraction\n",
    "ds_sftlf = xr.open_dataset(\n",
    "    \"https://pavics.ouranos.ca/twitcher/ows/proxy/thredds/dodsC/birdhouse/cccma/CanESM2/historical/fx/atmos/r0i0p0/sftlf/sftlf_fx_CanESM2_historical_r0i0p0.nc\"\n",
    ")\n",
    "ds_tgt = ds_tgt.sel(time=\"1993-05-20\").drop(\"time\")  # Extract same day as obs\n",
    "ds_tgt = ds_tgt.rename(bnds=\"bounds\")  # Small fix for xESMF 0.5.2\n",
    "ds_tgt[\"tasmin\"] = ds_tgt.tasmin.where(\n",
    "    ds_sftlf.sftlf > 0.25\n",
    ")  # Mask tasmin data that is over the ocean\n",
    "ds_tgt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "22",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:  (lat: 510, lon: 1068)\n",
       "Coordinates:\n",
       "  * lat      (lat) float32 83.46 83.38 83.29 83.21 ... 41.29 41.21 41.12 41.04\n",
       "  * lon      (lon) float32 -141.0 -140.9 -140.8 -140.7 ... -52.21 -52.13 -52.04\n",
       "Data variables:\n",
       "    tasmin   (lat, lon) float32 ...\n",
       "Attributes: (12/15)\n",
       "    Conventions:          CF-1.5\n",
       "    title:                NRCAN ANUSPLIN daily gridded dataset : version 2\n",
       "    history:              Fri Jan 25 14:11:15 2019 : Convert from original fo...\n",
       "    institute_id:         NRCAN\n",
       "    frequency:            day\n",
       "    abstract:             Gridded daily observational dataset produced by Nat...\n",
       "    ...                   ...\n",
       "    dataset_id:           NRCAN_anusplin_daily_v2\n",
       "    version:              2.0\n",
       "    license_type:         permissive\n",
       "    license:              https://open.canada.ca/en/open-government-licence-c...\n",
       "    attribution:          The authors provide this data under the Environment...\n",
       "    citation:             Natural Resources Canada ANUSPLIN interpolated hist...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-35cd6786-e712-417f-ad88-db1f4ac7d428' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-35cd6786-e712-417f-ad88-db1f4ac7d428' 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'>lat</span>: 510</li><li><span class='xr-has-index'>lon</span>: 1068</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-286bf15e-adc3-47cc-bb00-6aa8e12f5f92' class='xr-section-summary-in' type='checkbox'  checked><label for='section-286bf15e-adc3-47cc-bb00-6aa8e12f5f92' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>83.46 83.38 83.29 ... 41.12 41.04</div><input id='attrs-4ad65169-85c0-4eb4-8b62-d2fd778381d8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4ad65169-85c0-4eb4-8b62-d2fd778381d8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-98eb912a-6cb0-4262-9828-5749e9bc2021' class='xr-var-data-in' type='checkbox'><label for='data-98eb912a-6cb0-4262-9828-5749e9bc2021' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>Y</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>_ChunkSizes :</span></dt><dd>510</dd></dl></div><div class='xr-var-data'><pre>array([83.45833 , 83.375   , 83.291664, ..., 41.208332, 41.125   , 41.041668],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-141.0 -140.9 ... -52.13 -52.04</div><input id='attrs-9ad8adb7-ac45-41c2-85ca-081e6c09faee' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9ad8adb7-ac45-41c2-85ca-081e6c09faee' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6b8767ca-29ef-490c-899a-91093619ac4f' class='xr-var-data-in' type='checkbox'><label for='data-6b8767ca-29ef-490c-899a-91093619ac4f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>X</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>_ChunkSizes :</span></dt><dd>1068</dd></dl></div><div class='xr-var-data'><pre>array([-140.95833 , -140.875   , -140.79167 , ...,  -52.208336,  -52.125004,\n",
       "        -52.04167 ], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-36cbfa52-ad5e-4864-b816-f5bd2278e715' class='xr-section-summary-in' type='checkbox'  checked><label for='section-36cbfa52-ad5e-4864-b816-f5bd2278e715' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>tasmin</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c16f6114-b913-4703-b8dc-6e21c9696fb7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c16f6114-b913-4703-b8dc-6e21c9696fb7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-41611a29-9920-4fd5-9765-bd2805127ef2' class='xr-var-data-in' type='checkbox'><label for='data-41611a29-9920-4fd5-9765-bd2805127ef2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>air_temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>_ChunkSizes :</span></dt><dd>[366  50  50]</dd></dl></div><div class='xr-var-data'><pre>[544680 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f75fd991-fb8b-4daf-bb55-78f068af186f' class='xr-section-summary-in' type='checkbox'  ><label for='section-f75fd991-fb8b-4daf-bb55-78f068af186f' class='xr-section-summary' >Attributes: <span>(15)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.5</dd><dt><span>title :</span></dt><dd>NRCAN ANUSPLIN daily gridded dataset : version 2</dd><dt><span>history :</span></dt><dd>Fri Jan 25 14:11:15 2019 : Convert from original format to NetCDF</dd><dt><span>institute_id :</span></dt><dd>NRCAN</dd><dt><span>frequency :</span></dt><dd>day</dd><dt><span>abstract :</span></dt><dd>Gridded daily observational dataset produced by Natural Resources Canada (NRCan), available at 300 arc second spatial resolution (1/12° grids, ~10 km) over Canada. The version 2 dataset was updated in its entirety compared with version 1 and is not a simple extension of version 1 with additional years of data. Gridding was accomplished with the Australian National University Spline (ANUSPLIN) implementation of the trivariate thin plate splines interpolation method with latitude, longitude and elevation as predictors. </dd><dt><span>dataset_description :</span></dt><dd>https://cfs.nrcan.gc.ca/projects/3/1</dd><dt><span>type :</span></dt><dd>gridded_obs</dd><dt><span>institute :</span></dt><dd>Natural Resources Canada : Canadian Forest Service</dd><dt><span>dataset_id :</span></dt><dd>NRCAN_anusplin_daily_v2</dd><dt><span>version :</span></dt><dd>2.0</dd><dt><span>license_type :</span></dt><dd>permissive</dd><dt><span>license :</span></dt><dd>https://open.canada.ca/en/open-government-licence-canada</dd><dt><span>attribution :</span></dt><dd>The authors provide this data under the Environment and Climate Change Canada Data Server End Use License and demand that any references to or derivative works based on this dataset be cited using the provided citation information</dd><dt><span>citation :</span></dt><dd>Natural Resources Canada ANUSPLIN interpolated historical climate model from McKenney, D.W., M.F. Hutchinson, P. Papadol, K. Lawrence, J. Pedlar, K. Campbell, E. Milewska, R.F. Hopkinson, D. Price, and T. Owen, 2011. Customized Spatial Climate Models for North America. Bull. Amer. Meteor. Soc., 92, 1611-1622, https://doi.org/10.1175/2011BAMS3132.1</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:  (lat: 510, lon: 1068)\n",
       "Coordinates:\n",
       "  * lat      (lat) float32 83.46 83.38 83.29 83.21 ... 41.29 41.21 41.12 41.04\n",
       "  * lon      (lon) float32 -141.0 -140.9 -140.8 -140.7 ... -52.21 -52.13 -52.04\n",
       "Data variables:\n",
       "    tasmin   (lat, lon) float32 ...\n",
       "Attributes: (12/15)\n",
       "    Conventions:          CF-1.5\n",
       "    title:                NRCAN ANUSPLIN daily gridded dataset : version 2\n",
       "    history:              Fri Jan 25 14:11:15 2019 : Convert from original fo...\n",
       "    institute_id:         NRCAN\n",
       "    frequency:            day\n",
       "    abstract:             Gridded daily observational dataset produced by Nat...\n",
       "    ...                   ...\n",
       "    dataset_id:           NRCAN_anusplin_daily_v2\n",
       "    version:              2.0\n",
       "    license_type:         permissive\n",
       "    license:              https://open.canada.ca/en/open-government-licence-c...\n",
       "    attribution:          The authors provide this data under the Environment...\n",
       "    citation:             Natural Resources Canada ANUSPLIN interpolated hist..."
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# NBVAL_IGNORE_OUTPUT\n",
    "\n",
    "# Input grid and data : reuse ds_obs (NRCAN but without the subsetting)\n",
    "ds_in = ds_obs[[\"tasmin\"]]\n",
    "ds_in"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "23",
   "metadata": {},
   "outputs": [
    {
     "data": {
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5xznnnIMHHngAr776Kr755htcc801+Oijj7Bo0aKM477qqquQSCQwY8YMvPbaa7j55pv3eKxSStxyyy1YsWIFlixZgssuu2yP22zduhVA5vlVtjlXNo+pTP1mm0sSBNH8IZGJOORhjGHq1Kn417/+hfnz52dtV1RUhNNOOw2nn346brjhBpSVlQUTIt+AsWfPnnBdF6+99lqd9r1w4UIAwPTp03HYYYcFj6FDh0Zez8a4ceOQm5ubtRLdvmLz5s0Z18ViMeTn5wMAEolERjPMhkwcdVq1ahUxW9/dmABE7pLtqV/HcYLJz576JQiCIIiDhZdffhmVlZV48cUXccMNN+Dss8/GaaedhlgslrF9pu/Wun4/H3744QCUf0+maJ8NGzbgJz/5Sb2PwTAMnH/++fjoo4/w1Vdf7bH9m2++iW+++QaLFi3CLbfcgnPOOQennXYaCgoK6r3vxiIvLw9jxowBAPzpT3/K2CY3NxfXXnstpkyZgry8PFxxxRW77dMXmBYvXowFCxbghhtuqNNY/JtujT3n8vvNNpckCKL5QyITQQC44IILUFxcjAcffLDOkTidO3fGqFGj8Omnn+K5554DANx8881o27YtRo0aha+//jrjdv4dsm3btuGll17CWWedhbfeeqvWw6/Ikm2SASCojvf888/jd7/7XT2PuuG8+OKLkTt3O3fuxGuvvYaf//znMAwDgIq02rJlS2RykkqlArNKnXg8XuuOYTbOPfdc7Ny5E2vWrImsX7VqVUMOJeC8884DAKxcuTKy/plnntmrfgmCIAjiQMcXB/SKbFJKPP3003Xuo67fz8cddxw6d+6MTz75JGO0jy70+OOp6xxhzJgxkFJi0KBBSKVStV63bTu4EZjpmAFg3rx5ddrX3vLtt99mXO+n6bVv3z7rtkOHDsUll1yCBx54oFZ0lY5/LhYvXox58+bhpptuqvP4Tj/9dMTj8WCO6/PBBx9kTBGsK8cddxzatWuHZ599NmKE/vnnn+O9995rcL8EQRw4mE09AII4UJg6dSpOPfVUbNmypU4VNwAV6j137lxMmDABffr0QVFREV555RVcfPHF6NatW5BXH4vF8I9//AMrVqzAJ598giuuuAIrV65ETU0N7rjjjkgZWJ9WrVph5cqVWLhwIWbMmJF1DMOHD8fs2bNrTer2JYZhoLi4GHfffTeEEJg6dSoqKioi/lDXXHMNHnjgAVx77bUYOXIkampq8MQTT2T0bDrppJPw9ttv47XXXkO7du1QUFCA4447LuO++/fvjxkzZuCGG27AxIkT8cMf/hBr1qwJxKu6VldJp0ePHjjnnHMwatQoVFZW4rTTTsP//u//Yvny5Q3qjyAIgiCaC8XFxYjFYrjuuuswatQo1NTUYM6cOdi2bVud+6jP9/O8efPQq1cv9OzZEwMGDMCRRx6J77//Hn/961/x+9//Hr/+9a8BACeeeCIAYP78+SgoKEAikcAxxxxTK7Xd54wzzsCcOXNQUlKCU089FUOHDkXXrl1h2zb+8Ic/YP78+TjxxBNxySWX4Mwzz8Rhhx2GIUOGYPz48bAsCytXrsQnn3zS0NMY8J///AcffPBBrfWFhYU44YQTAABdu3bF+eefj169euEHP/gBampq8H//93947LHH0KZNm92mwf3kJz/Byy+/vMdx3HHHHVi4cCEGDhyIk046KTKmeDyObt26Zd22ZcuWuPvuuzFlyhQcdthh+OUvf4mvvvoKEyZMQLt27Ro83+Kc46GHHsItt9yCX/7ylxg0aBC2b9+O0tJSSpcjiIOFpvMcJ4imIVN1NZ++fftKABmry/lVPdLxq6ksXbo0WLd582Y5evRo2bVrV5mbmyvj8bj84Q9/KAcPHiw//fRTKaWUP/nJT2Tr1q1lMpnMOtaf/exn8vDDD5fJZLJWdTmd+fPnB9VJGlpdLlOVmfRKcP4Ypk6dKidMmCCPOuooGYvFZLdu3eS6detqbb969Wr5k5/8RObk5Mhjjz1WPvnkkxmry3388cfyrLPOkrm5ubUqlmTiiy++kFdccYXMz8+XBQUF8sorr5SrV6+WAOQrr7yyx+PyX0uvYLJ9+3Y5cOBA2aJFC5mbmyuLi4vl3/72N6ouRxAEQRxUZPp+fO211+SPf/xjmUgk5JFHHilHjhwZVF7VK5ZlqsLrU9fvZyml/OSTT2SfPn1k69atpWVZsm3btvIXv/iFnDt3bqTdzJkz5THHHCMNw6hVpS4bH3/8sezfv788+uijZSwWk3l5ebJbt27ygQcekFu2bAnavffee/KMM86Qubm58ogjjpC33HKL/P3vf5+xWm1d5klS7r663FlnnRW0mzdvnrziiivkscceK3Nzc2UsFpM/+MEP5JAhQ+SXX34Z6XN381CfTNXlOnbsmHUsdaniJoSQEydODOZ7J598snz99dflj3/8Y/nLX/4yaOdXkPv1r39dq4/06nI+CxYskJ07d5axWEx26dJFLlq0KGtlYoIgmhdMSi1OkSAIYjd89tlnOOaYY/DII4/gnnvuaerhRJg8eTLGjRuHL774AkcddVRTD4cgCIIgCND388HGpk2bcPzxx2P8+PH73ROUIIjmAaXLEQTR7HjyyScBAMcffzxs28abb76JJ554AjfccANNYAmCIAiiiaDv54OLTz75BM8++yzOPPNMFBYWYuPGjZg2bRoKCwvrVNWOIIhDExKZCIJoduTm5mLGjBn47LPPkEwmcfTRR2P06NEYN25cUw+NIAiCIA5Z6Pv54CIvLw8ffvghFi5ciO3bt6OoqAjdu3fHpEmT0KZNm6YeHkEQByiULkcQBEEQBEEQBEEQBEHsNQ0rC0AQBEEQBEEQBEEQBEEQGiQyEQRBEARBEARBEARBEHsNiUwEQRAEQRAEQRAEQRDEXnPQG38LIfDNN9+goKAAjLGmHg5BEARxECClxM6dO9G+fXtwvu/u19TU1CCVSjV4+1gshkQi0YgjIg52aN5EEARBNDb7a94E7N3cieZNjcNBLzJ988036NChQ1MPgyAIgjgI+fLLL/dZWe6amhoc0zEfm7e4De6jbdu22LRpE02YiDpD8yaCIAhiX7Ev503A3s+daN7UOBz0IlNBQQEA4De/+Q3y8vKaeDQEQRDEwUBlZSUuuOCC4DtmX5BKpbB5i4vPP+qEwoL63/Wr2CnQ8dTPkEqlaLJE1BmaNxEEQRCNzf6YNwF7N3eieVPjcdCLTH6od15eHvLz85t4NARBEMTBxP5IJ8ovYMgvqP9+BCjViag/NG8iCIIg9hX7Kw27IXMnmjc1Hge9yEQQBHGgc9fglwEATEhIxsCkhOQMPOlAWgak94U8Y/7lqv2tL4M5AkwIMNsFGIO0DMARgMkhDdWe1zhqB0KAOQKSMciECTCmHlKqB+d4bPGVGDHgeTy25Kr9ffjEHnClgCsbth1BEARBEMShRkPmTjRvajxIZCIIgmgAd97+GpgIv72YKyEsHq6TMlgvDYaZT12Guwe+CGa7YCkH4N42uTEYjlBiksnBU44ShAwlBDHbVcIR57hr8MtgQoK5Esx11WuuVHVCTQ7mOIDgYIxBxExIg4GlHLCUCxgcTAjAF6ViJljSVvuKmRhx46/Ba1K4p+8qgPNAgJIxU7WxDLWOMTy2+MomOOOHLgISAvVXmRqyDUEQBEEQRHOnIXMnmjc1HiQyEQRB7IE77nodPKWigcAYhMnw+JOXYviwV8FsASYl4EoYKVcJPowFkUMiYcCoTGFE/1+DCUDGDYhcCzPmXY4RN70ACAFpKlGH1TiqLynBXEBa3npHqE9rATDXhYyZkDDUc6buuvDKJOAKQAhASBimAQCQcRPSNABDCVasxvb2ZYdCmO2COSlvvwIwDcB2AMsEpA0YBljKCaKlRtz4azDXDbaVMTPoS1pqv4FA5iE5x2PLr94/b9hBhoBAQ+6tNWwrgiAIgiCI5k1D5k40b2o8SGQiCILQuP3uN8BTLph3M4M5AtzkkJwFmdrmrpQSiHJMSJOB2dIThAAmBHi1DWmqyCFzh60il1wBGBwyxQEO3NN3lYpySphwcy0wAUBIFW0kAJ60wSuqAdcFHAfgBiAFEIsBSEKaBpiUcFrkwqhMquikuAlWnQJsG6iuBhwXjDNI1wVSNqRhgCXiQDwGmCZkTkwJVoahxDGhxg8ALMXVegDMccCSDlg1AMcbj2kCnAGOA1YpgZgFGEYoYJkqMgucq9Q8Dozo/2sVCUUpefXClRKurP/dtYZsQxAEQRAE0dxpyNyJ5k2NB4lMBEEQGpID4AwsJVSaGaDEI84gYl6UjjBhVKVgSKkieUwObrtKUAEA1w0EKZZygKQNCFcJNFXVSojJzQHycgHLABiDsbMabGc1ZE48iIaCEEpkAoCUJx5JCZmXq9psr4Rhcsi4BVZZo9LlfL8l/3hStuonZoFZlhKY4nEleMUtlU7njV0aTEVT2Y4SqFIpJSgV5ENu2662N03A8I6TcyV+mUwJTIA6Z5wrkS3lAlx4ghvz1jOMGPC8NziJx5ZSdBNBEARBEARBHCyQyEQQxEFHyX1rlG+RQOAjJD3dhYnw+expvYNtbhu5GkaNCyvpKsHIM9aGEGCuBHZVAYm4itAxGEReXKXOeZ5FfnpYIColkyrdjDGVembbgJCA40DaDlg8BqRSEC3zYFR4kUh5cbBd1ao952ob01T/xzxxiBtg1Uk16JwE2M4qsG2uauMKSKnS5eC6gGWqyCXDUM9NE7AstWxw8K0VQHUNpKMirXjMgmx3BPD9dkhPDJOuC+yqBDMMiJokmGWBxSw1HikA5glOqZRa5kztt8b2hDLPl8riStBKyogIds81zwZRVAAAg+HRZ67d59dIc4I8mQiCIAiCIOoOeTI1LSQyEQTRrBk2ejW4IwNDbGkwcIPBqHEhvYgbsyqlhCAgqLzGHIERA56HtAw4uRasauWHJBmDUxCDG+MwUsIz2ZZg+Qlltl3jgLkSfGcySC0DoIQdIYK0OBQVqMgl21aCUU4CcAWYl+am0s0MGFsqlHAVN5XQYmofyzZUn4xB7qiATNkQqRQAgFsmwDiYZSohCAAzVFQULBMslggryLkuZE0SQBKorFLtOPOikgxVTrZFLsCVECQPbwGIFmBSgqVsNRbDAPMjmKRUx6tjmaEnlCu8KCem2tledJRmKO5XtWMGBxwJcKbS64haCEi4JDIRBEEQBEHUiYbMnWje1HiQyEQQRLNg6Lg1wfKcib2CZbPahWTME5kEmAOYKTcQnCAAcEAypiq3JQXgSiUoeVXbwAG70IJZ7SoPphr1vzQ5JAOcfBNMmuApASPmBCbXvNqG5Mp7SZoczBHKE8ngSmix7UgUk/T9lWKWEpocR0UWAYHhN2qSgG1D2g6kJygxy1LRRlKAx2KQrgspJJiBUGAyTSXaxKxQALIsJfRwQ6W6AUB1jTL2NgwVjWR5xuCmJiABgAFIMMCIqeeeYMX8erBBOx4VnBhT4prB1bmXUu3L4Op9cly1fyD0bIJ6f2ByqlyXAYpkIgiCIAiCqDsUydS0kMhEEMQBRcnYNXhqUi+UjF2jvJAkAFcqmyKpUq9uG7ka0lQRSSa86CQOMMEgTA43xwS3BaTBIBmDm+CwKmy4uWaQqmVU2mBCgNkueErAqkwBrgQMBpGwwFwJozoFu0Uc8a01ynvJYJAxE7wqBZGIIdk2H1ZFCtITrdyCmPJpqqhUqW1SAskUpBRghgGWlw9U10DsqFAm3DkJVc2tRqW/SdeFTKUgUzakY4OZFniOikji+XmBIBVEBDlOYLat0uO81w0O5Oao9ZXVgMUhc/IAk0O2KqotKPkRTz7+sheo5Ud4MS+tLtiH60VZxTz/JcZCvyZXeAKXF9EEKLEvZngRWxwix8L0BVc02rVzsELG3wRBEARBEHWHjL+bFhKZCILYL/iiERjAbD8KhoHZAkwCbtyLaOGqrWSAWSPAhBI4JAeMlFB9pCSYBCRnEDEObgsIi8PJ8Uy0ky78mxFG0oWRdL2oJulVg/MqqHkeSrwmpaKW4hbcXAvmtiqI/ASY7cLaVqPEJynBXIDtqgEA8JoU4ps9U22vgprMUdFEskWBimjyhBZmxiGrqpUfVDwG3r6diuZxPFNvx1HthARLWcqsW0ow01QCFfMqtDmOSrszTciYBZkwPc8j1Y80DMBgkJYRCkUtcoP3QDKmIqZ0XBmm/Xm+UvCf+1FGBgsq5omCBFi1DRhMmZb7kU1epJK/3h8LAEjLwPSnf7mXV9ChiwAaVFSXCvEefDiOg9LSUqxcuRKbN29Gu3btMGDAAIwbNw7c/3uVEhMmTMD8+fOxbds2nH766Zg9eza6du3axKMnCIIgiP1DQ+ZONG9qPMgAgyCIfc7QcWvAHAluKzNuJj0DbiEh4hwixpXvkR+55CFMBmEogQkAnDwTTq4BJ8+EnWdCWBxMSAhT/c9tCclUtJNR48DcmYJRZcPYlYRZkYSRVGl0PCUgLQ4ZM5W4ZBlqmatxiLx44OHEUk5Ygc12wZIOWHUKrMYG27FLGW9v3QH2fQWsL/4LtqsaImZC5MdVZFFBvkpjy81RxuGxGGR+AqIgAXFYHkRRHmTLQsiCXCAvB8jPAysqACvIV8beublAfq7qp2ULyNwc5X/Elagkciy4+Qm4+QnIhBkVmITynmK2q8QkJ8PXJ4cStJI2WNJWQpTtqkfSVsdc40DELSWkcXXeAkP1HEuJc0U5kN5YZNyCjBsQMROPLbmKBKa9xPV8BRryIA4upk6dirlz5+LJJ5/EX//6V0ybNg2PPPIIZs2aFbSZNm0apk+fjieffBIbNmxA27ZtUVxcjJ07dzbhyAmCIAhi/7E/5k1z5szBySefjMLCQhQWFuKMM87AmjWhvYeUEqWlpWjfvj1ycnLQvXt3/PnPf470kUwmcfvtt+Pwww9HXl4eLr30Unz11VeNcg6aEopkIghin1Iydg24AGZP7R1EKM2ZElZ1G3r/WiVyeGlxDCriiHlRSgCUcOT5/jDGAiFKSuUb5JtzC5PDSApIzmAXxMBTLrgjA0EEQsLcUaPEFinDKBxIcMcGZEozr3ZVpJEQXqQRB+N+KpgLmUwp/yNLiS9BSpiQMLZXquVETPkO5cYhEjEVRSQE7BY5SgDbtgsyJ6YiiHZUev5FHDIvFzJhKnHLVd5RwuuLpxzAq37Hq5NhpTbuRRIhTG/zq7YxKcGkG0mLk5yrFL/cGBiXkHFLnQ8OiITyYfIjnKTJVbpgzFR9J0w89vTVwXt4160vgydtlQIoVJoipcERROPz/vvv47LLLsNFF10EAOjUqROeffZZfPjhhwDUhHbmzJkYO3YsrrhC/Q0uXboUbdq0wTPPPIPBgwc32dgJgiAI4mDiqKOOwsMPP4wf/vCHANT37WWXXYY//OEP6Nq1a3DTZ8mSJejSpQsmTpyI4uJibNy4EQUFBQCA4cOH47XXXsOqVavQqlUrjBgxAhdffDE++ugjGIbRlIe3V5DIRBBEg/DT3yT3oo8kwG2JJx/pHWn31KReGZcBYMgDa1VEDmeApQQSbnsRTY6E4UiIGAueA1CV5FyV9iYZwF0JYTBAqtQ4yQCeEoGYIkzlC+TkGDCrXZVe5wlPzFZRPsx1AVtEBSZA+QsxFhhXg3FACsj8QkCoY5emCb6rWglRPqYBkRsDr1ReS+Ac0uRwckwwV8CsssGkhMjPUT5JJgdHAVhK9cGkVClpUipjcinBUw6ky8JYXt1XyTfl1s4tc11IeAbbluGZo4tALJKMge+ogpm0IS0DLKn2LWMqqovZLtz8hNrGlZCWJ0zZLozKJO655lnPY8kE51wJTFICSYHHll8NovFwdT20ntsRBxdnn3025s6di7///e/o0qULPvnkE7z77ruYOXMmAGDTpk3YvHkzevToEWwTj8dx7rnn4r333ssoMiWTSSSTyeB5RUXFXo/zmn89H3kuRPjpJCXLuP7F4ynisaFc9udXsr72StfL9uNICGL/ctEHYdQIePYvPVYTJu/IWNiO2SxTc6QHtDDts0p/TY++h8zcZrfBMUb4ooxM4nazjW6haerh/+FG3M2yrRvtWB+/1PKbRCyMfH/9nAt3M5gDl4bMnerb/pJLLok8nzRpEubMmYMPPvgAJ5xwwh5v+uzYsQMLFy7E8uXLccEFFwAAVqxYgQ4dOuA3v/kNevbsWb8BHUBQuhxBEPVm2Jg1Ku3NUelv/hejZMDtd7+BYaNWY9jo1XvsZ+6DF2LuBPVQ0UpKZJImg4gxuHElJEmDBf4+wmJw41wJU0z7sRLjSLWw4CYMJA+Pw8kz4SYMOAUWUoWmGqfBwG0BXpkCr7LBa1JgjqMim4Qn1sQsldJWkKsiioryIFq3gGhZAJkThyzMg4yZcFrlwmmpzLTdw/JV+8I8iFYFELkxOPkxJI8qQrJdAdy8GJgQMHemYG2rBt9VA15RDV6VBK9MglfUQMQtiNyYiljy0/hMro7bj1ByRMQ/SVpGGJ3ktZEGU+l6eXHIuOfRZHJvP9VgNTb4jirwyiREYY4SjhwBaRoQuXG1nWVAWgaMndUwtqm2QUSUEGq/Jof0Ip4gRFBhjwSmxkfsxaOuTJkyBT/96U9RUFCA1q1b4/LLL8fGjRsjbXbt2oXbbrsNRx11FHJycvCjH/0Ic+bMibTp3r27ijbUHtdee22DjpuozejRo3Hdddfh+OOPh2VZ6NatG4YPH47rrrsOALB582YAQJs2bSLbtWnTJngtnSlTpqCoqCh4dOjQYd8eBEEQBEHsY/b1vCkd13WxatUqVFZW4owzztjjTR8A+Oijj2DbdqRN+/btceKJJwZtmisUyUQQRL2ZPaWXSnPzoonmPnihikoyGYRWzn7ouDWejw8wd0LmOyFDxq9VUUiuBCTgxhm459vNPQGL2yoySVWRU2KKE1Npcm7cUNFKjGHe+J4YXLoWRkpFOzEBwBYwHGWqLTmDXRiDETMgTQY3YXjG175XlARzJMxdKUAIOC3jMCvtwJNJamKP9Z+dkHHlTSRz4ki1yVdeT1z1q7yfXFiVdmikHQhDJmQ8FIbgRRj5ptySMTCoKCEwT2RyhHrd70MIFfkkpTLotl2AA7zaVX5QgoHvrFHjs0wlVtmAKMyBiBngVXYQ1YSUA1adBKtOAratUgA5U6l8nqE3SzmAyyDjFkTMwIx5l++DK4vIhACDu9vbmtm3qyvr16/HsGHD8NOf/hSO42Ds2LHo0aMH/vKXvyAvLw8AcNddd+Gtt97CihUr0KlTJ5SVlaGkpATt27fHZZeF0RKDBg3Cgw8+GDzPycmp99iJzDz33HNYsWIFnnnmGXTt2hUff/wxhg8fjvbt26N///5BO8ai772UstY6nzFjxuDuu+8OnldUVJDQRBAEQTRrGjJ38udN6RG98Xgc8Xg84zaffvopzjjjDNTU1CA/Px8vvfQSTjjhhEAkynTT5/PPPwegbgzFYjEcdthhtdpkuzHUXCCRiSCIPVIyVkUuQXhCD1MCEKDCa4eOWwPDViJR4JfkCVCSS0AyDC5di3mltYWmdPFpyPi1EAg9moL9WBzCUKl13JUwUsrkGwwwqwVEjGNw6VoACCrPGSlXpc4JCWmF/k5G0lVCkVR+R5JzcFtVoJMGV//HY3ByTRg1jqqWZnIVbRQ3YFTbQI4FyZVpubQ4hMnxxIyLcecdr8Gs8tLeXAlhGcrjSMjg3DA39ImShhLLfFjK9aKCLCXs+OKS7QlKjhP4U8GP5jIMZQaecgHOwatSQZqd2yJPiWc1Sjjj320HF1JtG4uFJuL5iaCanDrfSsjyhTURN0lYaiI8j/wGbVdX1q5dG3m+ePFitG7dGh999BHOOeccAMoPqH///ujevTsA4NZbb8W8efPw4YcfRkSm3NxctG3btv4DJvbIyJEjce+99wbRYSeddBI+//xzTJkyBf379w/Ou195zmfLli21Jro+u5s8EwRBEERzpCFzJ799+o2W8ePHo7S0NOM2xx13HD7++GNs374dL7zwAvr374/169cHr9fnpk992hzokMhEEMRuGTpujRJtGMC4JohwBqPGhRvzUrq8CCOWFOCOgHQYXIuDGUyliUtkFZp0mCuDXHK/4pww9Dxz37jaayMAJ4djXumFGDxhHYyUgFHlBpFLyjeJw00YkDw0DUeOCQiphCRbwGFWOAYp4cY4jBoBN9cKhSAhwZPKQJs5AtJQhuSuwSJeVCrFjwNmKLb5GF60k9qRd4yuVwEOUBXdoKKl4LjKJ0p6y1KGflGaFxNME0im1HrTAAxDHX9+AsaumnBbx1HfoKapxCUpwVK26sc0IOKecbfnvSRyLKoMdwDgNjCSyW3AHTmfHTt2AABatmwZrDv77LPx6quvYuDAgWjfvj3efvtt/P3vf8fjjz8e2XblypVYsWIF2rRpg169emH8+PGBwSWxd1RVVYHzqNOBYRgQXrTkMcccg7Zt26K8vBzdunUDAKRSKaxfvx5Tp07db+N87gdX7bd9EUCrosqsr/X7YlWw7GqeLdU1sXC9m+aeoX1pvXLipY0wQuJQ5IqNLwXLrhNeY0Jblto1+Xq3i7P2dfG72o0QzceIad5BUYMkgGntENNMivRJmZXNRylNGMgyroiIkWV7lp6DZfPsr3nwlLZ9ur+S7g+lD1/zZ3ITYccRDyozbYeajxXXXovFspk6NR8aMnfy23/55ZcoLCwM1u9uzhSLxQLj79NOOw0bNmzA448/jtGjRwPY/U2ftm3bIpVKYdu2bZFopi1btuDMM8+s19gPNEhkIgiiFr6wxBwJxDi4LeDkcLXOS2FjEp5wAzBbRr7o3BhX/kquhIAyf/O9lQaXrlURPAyY/0BtQ7s5E6Pm4EPHrVFikcHAHQnBATDVn/DNwh2vih1nYJ6nk2tyrzqdCe5I8KRQwovBkDoshjkPXagitBwJ1+KQpmcwbgtIxmFWqygoP5qJORJungk7x1QRSnGO2VPUWG8buRp33PW6EowcZZSNlPqyZo73v1Apf0qsEsoM3GBBRTZelVLRSq4AhFfZzvGil4SETKWiJ8owAM7ATO1j3LIgivKUz1R1CqwqCdQkQ3FKr1IhBWRuDlhVNZAIfZic/AQefyJqZEg0b+pzRw5Qd9DuvvtunH322TjxxBOD9U888QQGDRqEo446CqapDN8XLFiAs88+O2hz/fXXB0LHn/70J4wZMwaffPIJysvLG/24DkUuueQSTJo0CUcffTS6du2KP/zhD5g+fToGDhwIQN0xHT58OCZPnozOnTujc+fOmDx5MnJzc9G3b98mHj1BEARBHPgUFhZGRKb6IKVEMpms002fU089FZZloby8HH369AEAfPvtt/jTn/6EadOmNc7BNBFNKjI5joPS0lKsXLkyUPkGDBiAcePGBXfqpJSYMGEC5s+fj23btuH000/H7Nmz0bVr16YcOkEc1MyZ2AtDHlgLDlXNTXLASAoVlcOZV70NcHM4rF0ueNINKrb5UUPCUqIQd6Uq9MbCKnTSCAUnZeAdFa/mje8ZGcueuPWhdUoQMwG7wAg8mSIV5hCm2/mC2FOTvON0JXhKtRdxDsmAJx/JLrSU3KdEuGGjV6u7UH6lOumlwnkRRjxpw26RAyaUzxNLOaqKm+sCrgvmClW1znG9aCJTRS2JsA9Z41V98gQiFrOUZ5JpAClb9eX7NnEGvkPd0Zb5CfV/QS5EjgWjKgW2Y5fqKyehBC7ThMhrAZEwMPMpqkB0oLK3kUz1uSMHALfddhv++Mc/4t13342sf+KJJ/DBBx/g1VdfRceOHfHOO++gpKQE7dq1C6qiDBo0KGh/4oknonPnzjjttNPw+9//Hqecckq9j4GIMmvWLNx///0oKSnBli1b0L59ewwePBgPPPBA0GbUqFGorq5GSUlJMG8qKyujaDKCIAjikGFvIpnqyn333YdevXqhQ4cO2LlzJ1atWoW3334ba9eurdNNn6KiItx8880YMWIEWrVqhZYtW+Kee+7BSSedFMyrmitNKjJNnToVc+fOxdKlS9G1a1d8+OGHuOmmm1BUVIQ777wTADBt2jRMnz4dS5YsQZcuXTBx4kQUFxdj48aNNGEiiH3EkAfWBr4/kkH5LQGAIyFMlTpmpEQgyMAzhmZCQAoDPKVMst08U4k6WvUzP4qJO9JLaVOCk+RQAhQDBk1ah6fHKqFp0KR1YK4Spvx16cy/v+ElPuc+uPv0vZKxawKvKWVCLlVkFlfCmFGjUvN8UYsJCbiq2hqzXVjfV8MtiKl0OM4hYwYgVPQSHFcZbUsvuslfNozwfPnikqWZgBscSHhCgcPVtr65eH4uUJMC21UDmAaYKcCTNpzDcoH8VuA1Nli1DeZKSBNwimJ4Ykb2EHWi6RGSQcj6i0z+NvW5I3f77bfj1VdfxTvvvIOjjjoqWF9dXY377rsPL730Ei666CIAwMknn4yPP/4Yjz76aNbJ0CmnnALLsvCPf/yDRKZGoKCgADNnzsTMmTOztmGMobS0dLfRagRBEARxMNOQuVN92//nP//BjTfeiG+//RZFRUU4+eSTsXbtWhQXFwOo202fGTNmwDRN9OnTB9XV1Tj//POxZMkSGHr2QTOkSUWm999/H5dddlkwYe3UqROeffZZfPjhhwBUFNPMmTMxduxYXHHFFQCApUuXok2bNnjmmWcwePDgJhs7QRyM+OISF2FquzAZ3BwOZquoJLPahZNnwmUMse1KFOG2gMgxA+8iyQCjxoG5y4aTa4ELqSq5eZFNnEFVL/OEJXiV4CRngZk3AAyavA7cUdFBUqiIJWECC8ZERaVbpqwLU/FluD1zvQgpbz8q3U95NfnRUkPGr8XcCReqannwPJKc0KTbEJ6huSuVAbdv4O1FSam2EqzG8YQjz6jbf706Bb59p0qDA4C8HGXKLTyPJFeE6WyugHQclQIXswDOwXISSkBKxAHGgUQMMqbOtSzKUR5WlUnAFaqqHGNA3ILItcBrbIi4BW674CnXi9QyMWMJ+aU0J/Y2kqkuSClx++2346WXXsLbb7+NY445JvK6bduwbXu3fkCZ+POf/wzbtiN+BARBEARBEPuS/RHJtHDhwt2+XpebPolEArNmzcKsWbPqte8DnSYVmc4++2zMnTsXf//739GlSxd88sknePfdd4M7dJs2bcLmzZvRo0ePYJt4PI5zzz0X7733HolMBJHGsDFr0r0KAabSwvaEnzbmex3NnXAhhoxfG4hGMs7hGIC1C6rqmyPgJjyDaYOr1C8hYVTZkCYP0r3MyhTAGHjShbRU5JOIGxAGwMCCaCZhqGVwBrhKYAIAN+YdhEe6wDRo8jqYNTKINJI8rEDHvcgrveqdn/439P61gXk4AMx5SAlNvhDFhDIADwy/vXRAZntRSo5QKW+e5xJsz1RbuJ63kmaaaBhKUAKA6hp1NKahqrk5jpf+ZgIxDhazIOMxwFTV4djOKtWf4wIWD8QqaRiAt2s3P6Gq5JmqOh63Bdwcw6uE50DE1DJ5LTVPXHC44HtuWGu7ujNs2DA888wzeOWVV1BQUBCUzi0qKkJOTg4KCwtx7rnnYuTIkcjJyUHHjh2xfv16LFu2DNOnTwcA/Otf/8LKlSvRu3dvHH744fjLX/6CESNGoFu3bjjrrLPqPX6CaCpu+XplsLzgyOv3+/4Hf7s8WDZ4KOK6QjNP1r7seVoVorxYMliuccKiFhYPPxWKcmoy9tXUXP2PFyLPf935yiYaCVEX+m76VeS51K4lQ78pof3ifKVr5vT8i//weuS5bgT++tlh1Pmlf3w13J9mgi3TDOxFdRgJEvEE1wyyYYR/X7pR+Gs/2XfzpYs+WBMs81w7YxunJjxhrDoa0WJWhctGjfa3m9T/jsNz4WrHCAsRjHj4mWBZ4bJhZL951FxoyNyp+dudHzg0qcg0evRo7NixA8cffzwMw4Drupg0aRKuu+46AAgmuelld9u0aYPPP/88Y5/JZBLJZPjlml5VhyAOZvR5ov+FWtfqnaFIo0SZIePDSh5+NTTuSLg5Bowa9eVj7bSVubbnOaRS4ZiK6vG8gqQ3yWAcgM0hLD/9i0NIHph3My9CSHIEwpA0lLwUHBdjKrrJBtw4w4J7e+Dp+3oqbyfGIEwADDCrldG3m9AqmHh+T8JgYbU87zu05L41ECbD3IcuVKbnjHvpbwyceUKT4331GAywZWji7Xqpar7A5D83DFXBDeHYlfAkIF0XTDAVnZSXG1aJ87yZVNoh4BbkwJDKTBy2o0QpzgDbBRcC0jAgEyakwb20Qw6edGFUpcCrVQU8EbcgYwaEVX+RgjgwkA1Ml5P12GbOnDkAgO7du0fWL168GAMGDAAArFq1CmPGjMH111+P77//Hh07dsSkSZMwZMgQAKrCyv/8z//g8ccfx65du9ChQwdcdNFFGD9+fLMP+yYIgiAIovnQkLlTfeZNxO5pUpHpueeew4oVK/DMM8+ga9eu+PjjjzF8+HC0b98e/fv3D9qxtDs0Uspa63ymTJmCCRMm7NNxE8QBD/OyxjyFaei4NXs00J7zkIpc8sUX5ZnkvehFMykkRIyBuUyl0sVVNJNtKDNpbguYFS4glMDEXBdw/dwzBi4EmGNAmhwGV32IuAERU8bcgCc4ARBggfAEAJKrKnbCgjLq9ocXZzCrJeCJU3YuA3INz4gboacSVL+QoajFHBWlFNvh4raRq8EsNSbmRVbxak9ckhLMVRFMItcCTzqeP5ISc8CYiiaKmSr9z49ysr0IptycwBgdAJByvZRBDpgcbl48fO8MBl6jtq85qghGjatSEi2uxu2IIC1QWBxGjQMZM2DUqKil1BG54Ck1Vjdh4onHyXOJ2D1S7lmObtu2LRYvXpz19Q4dOmD9+vWNOSyCIAiCIAiimdGkItPIkSNx77334tprrwUAnHTSSfj8888xZcoU9O/fH23btgWAoPKcz5YtW2pFN/mMGTMGd999d/C8oqKiVvlmgjhYeWpyVEgaOs4Lyc0iyqYzd4IKRx48YR1cHhWagggjz7hbRQQZgYeSUSNgVisxpKZNnhdR5KoIHwBmpQ2WtMGrUhCJmBqW6wJxC0xIGDUMwuRwc40gfc5MiiC6ShrqGKQBGDUSTk40he7mqWUAAK5Vd/MFJu6EP6C5L3hJZeJtVtqQnCnPKCnBJINhe2mDJoNdYCo/Ji81kAkJyRiQr8YtTB4IcH6qHbe9lDbGVBohAHDPr4ozGDVKeGK2J8BxBGl3zHXBbBd2qzxYWysR3+Kq7SwDvFLALYhBxAw8PusS3HnbqwBncHMsJTBZ3PO1YrDzTMye1rtO7ztxYLM/PJkIgiAIgiAOFvaHJxORnSYVmaqqqnZrInrMMcegbdu2KC8vR7du3QAAqVQK69evx9SpUzP2GY/H91iemSAOFXYXveQbXmdi3vieuPXBdSqCiAGuxQAtwomnBIyUAE8JOLkmRIyB21KlZHlRQ26cI2UxmFVCReakBJjJwatSkJYBpygGo8rx0uKUn5AwmOf3BCDmVXNLKWNtN6EinZQgxCA5w81Ty0L/JEOlzw2apLycFozpiVumrIORUtXxhOmJVL4gBCgjbMsAPB8naTLwpAB3BJyEoaKZPBNwEfNSAbXoJ99HijsyEJOMpBKOmJRgthtELom46XlVASzlKE8lxgADXkU55afkmibMShs85cLNT3gpbxzS4uDVjvJbMjhuH/EGZj15afCe3T7iDcx67KK9uVyIAxRXcriyAZ5Mdc2VJQiCIAiCOIhoyNyJ5k2NB5N1iZHfRwwYMAC/+c1vMG/ePHTt2hV/+MMfcOutt2LgwIGBiDR16lRMmTIFixcvRufOnTF58mS8/fbb2LhxY6T8XzYqKipQVFSE999/H/n5+fv6kAjioOLWh9YFpk7cVVXWfLGGu0pksaoFJAecOFdRRl4amxtjYK5q54tTRo2rRKK48mJiAohtt1W6l+f7xFwBaXCIuAEnYcBNKL8h7sggigpelJHwZHLfawkArCoBJgAnh+Hp+3pi0KR1KhpLhsegxqLEL8nUeqNGpcW5CQPCYBAxBqNGiWl+FJVrKZGI2xJGjQOjMhUafwOQnENaBqQvtjkCzHUhYybcHDVYN24owU2qKChhqf24uQaMKhfMFZ5RN4dZ6cCNGzCSLoTJMWv6RRg2Zg1mT9mzkTuxb9m1axfOOOMM7NixA4WFhftkH/731xt/PBZ5BfX3NKrc6eKik/+9T8dIHHw01byp5D9Lg2XdR2Nu2377Zf8jti7IuP6xVrfUaXvdsDqVCu/hGmb4HWEaoa1szIpazLZIVAfLjGWemut+IdtrcoLlZCp6z9jVDZC1G/NHHrY9WLZF+JmS7kOSrxmH63BtXDHNRDyybDjRbTRnSH17/T1OiXD8NW70WKo043LbDcf83a7w2tT7TTlhmxe6XJHxOJojo7+fHyxPbXlrE46k7vT/8tlgWTet1395Otp7mkq/jp1wm1dPuhSZSDce13nmmD7B8qWfhmbhWc1KdxPEkm3/e8vF/xv6n4JnHpi5Pc34u1IzO9f+1IVm6p1NW5FWdB9ubvj5VNB+Z7D87LFXZxtyg9kf8yZg7+ZONG9qPJo0kmnWrFm4//77UVJSgi1btqB9+/YYPHgwHnjggaDNqFGjUF1djZKSEmzbtg2nn346ysrK6iQwEcSBxO0j3giWI/O5dM8x7+mBkOo0/35VyW3QpHUQjEFy4Omx4TrmAql8HqzzufUh9Zpy7QaEoUQgJ24qwccTiZgrUX1EDEbKhFktIEwWiD/cETA94UdaKnJJctWfUS1gORKpQkOJU0xNZHnKS3PzBK5Bk9cFYx40aR3gAlalCyfXgJPLVZSUkGBe5TiVagblHeWqyC1hKhNw5gqYXhocdySY4wJciWEAwupunKkKdgYgYiakoVIDRSwUlMABwbkS7Dirl2cSCUyHHpQuRxAEQRAEUXcoXa5paVKRqaCgADNnzsTMmTOztmGMobS0FKWlpfttXASxr/GrmwFQt3QyeCYNG70as6c2vdAEoJaIlGndLQ+XYcG9PQAAwlQCje/n5MZZIC6p9DcAEnATHEZSiTt2vhF4JxlJF8wWkJ7RNWxAxlSkkJ9a5leJ8z2fpKH8ovw7OX41uQVjegbjHVy6FnaeEaT8+dFTgCcoWRzclnC5hJEUkKZKlxMWgyEZ4HkyiRgH86q5MVcEKXGSMSUgMXVMwmJh5TggjGAy/KgtCQj1Xiv/K03o8rZ78lFKgTvUaXi6HMV9EwRBEARx6NGwdDmaNzUWTSoyEcShhC96BOKSLz7o/0c2QJAaNWz06nA9ZwdENMstU5T3EZiKSGIAbn1QrTMdGQhLkgOJ710lFgFwcg0VzQPAzldRQExIGEkJqyIV9AmuzKvdHK5EGaZS8KxKT1RiSryChEq9c/19KsNvBgTpdINL14J56XKSM7gxBjem9m3YEtKQcHMN8KQXReVK2IUmIKWKaHK8NDtbVXUzqpJgSVuNI2YqcStuKk8qod5PIynAXC/NLqFS3iRjcHONQECDKyEthqcm9ULJfWvAbRl6TEmhBChKjyMIgiAIgiAIoplAIhNB7Cf0iJTb7nkjsu62kZ6IJCUYQtFJColhY9aEnXiRNyX3rQEY8NSkphMf/LQwQHrG3l60jqOemzVKMIFUETu+71LMVobhzBWQLA7DFjAqHaRaxFDdJgFpMCS2poK+HAa4CSUmxXa6AGNwLVVt7un7VJTSLQ+XBQKeL+YxIWHaqlKe7/8ET6yCBOY/oLYdMn4t4PlMCdMIUvKY8CKuAPW+eMfCNXGJ2S5YjQPmuOBbaoB4DDANiDxVfEDmxcBTLswdSfCqJMAZZMyEiFuAwZAqioHXSNxx5+vgMQ7uqOgqEVc+VE35/hIHDgIMogEh3A3ZhiAIgiAIornTkLkTzZsajyY1/t4fkPE3caBx28jVkTQoX2AKI5y0xjJtHQ+NrzP5OkkGzH0wc8U4QAkuOn5fvvdSffGru0nuVVmzlR+S73VkpDwBypEwd9pwEyp6iLsqXc3ON+HGOaxKF0aNCzduwC4w4MYYzGoBI6mik/yIJ2uXC2EyODkcC0er1Dzd2Ns/T0ZSKH8miynfI+1Tzh+P9CrKMVcGopTkSuDjtgyq5AXG4NUOmCNhVCYBIVSqW00KkEKJgjHlvSRzYhC5MYiYATvPROK7asARYI4DaZqAySFihjIdNznMnSm1bPDgGETMgJOv7gGQ2HRgsj+Nv3/9yfHIbYDxd9VOF1f/+G9kYEnUi30xbxr5/dPBckoz+tXNgPXJvW4WnW6CHdPMs00WmtY2xAx5Zs2j4Vi0L1WhpVikNINskZZ6UWGH1Ywr7Vi4jRPew9XHnzDtYJmnHZd+LnRTbyHCcdmaqbXeb2FO1KhbN9U2uMi4HNcMukWa8beptUto7Rzt+PVzr7f/emdRpC/9vOrm5ocnqoLl/9bkZuwLAFrGw3bZjMP19TVu6H6sjxFIfy/D7b/ZGX4+6uk1hrZ9ja25KgOIWeF5ybHC93Vvjep1g2/9Ws81U1m3+T4Znr9qbZzRay8cb/p50fcT42E7/VxWpMJrXb9W08l2jejnSB9jUjN6Tzec19/X76vCY9QD/wviNcGybmYPADuqE8Hyyk7XBMu6WbhuDq5zw+fPRZ6n7LDvotxwn/rn2dIO12Xsa3fo+9n+lfa344QHaVZGz7f2FkE/ZBHXPlM0E3H9z1sWRY35Xz9l/1ky7G/j74bMnWje1HhQJBNxSHPHna/vvgEHnphRd1PmuvDkI71rPR82arUSNPzvEe17Ikix8/2DvEgchqivk+8vNGT8WkBmFpv8KB8VmQOAA2BMVZGDt3+GIEJoT/hCzy0Pl6kIo7jqQyYYmFA747aAazG4rWLBGM0qFxCANBnsfA47nyO204BV4Sjjb8aRKjAgiwCrSsKsFnDjDHMm9sLN08qwcJTa75AH1oKZKr0tPEj1n4hzGNUumOBwLRXBxFyVxgZ459MV4I6EiHO4MSXgGXZ43o2kq8Ql2wWz3VBcAiAtA4jlQiTUxyhLumCumqgx24VhuzB31ACuMghXaYWuSqWzPUNzz8MJzAATyhBcmgakqfyfhKWOmTi0IU8mgiAIgiCIukOeTE0LiUzEQc8ehSQPJnXV31NvBHDHXa9DMoZZ0xtP7Q/S44Kde4KRPwRDiQzSYCq4xRc29DZpQpPu97S7aCbfVFqmifu+wCSZ8lvSb7JKpqJ+fFEpHd/wG1DRUm7c8yKKM7gxDiaA2A5llGTnGUgVGTCt0PxaWAypAg7XsoJ0OyMl4SQY7DwGI6X8mPyxDJ6wLtiO2zI4fiehtgMAo9qF5AxOgsOsclWfNSIQ6dQJU35OPCUgDA7DlhEDbjfGIQ0LzDVhVDuAK8GkBKtJKcEp5cKorFEiEjyBKGFAWoYXmSSDKCWeCu8UirgB4ZmauzFVvc5Pk5vzUPb3jjg0EeAQqL/IJLLWaSYIgiAIgjh4acjcieZNjUf9Z60E0Yyoq8AEKGHJf4AjfACNKjCpfaVVlwOU+MEAGCqiRvr+QVDLvgjkPyLiPMuSRpfG/Ad6qjaGF3GkPaCJVekCU31wY94xSQlhKHFKGgxuDg+OybVUCpydpyJ8jJSEZICToyqyCVOrSAdAGAyL7gmFLG6L6HF450dyJTT545cmU+Phap2bUCdNWCys/iZV/9zVjleEnkzMq0THUl5EU1UKzBFgSQcQAjJmQeTHIfLjgMmV4ORKMFcoP6bt1TArasBrbPCU660XMHfaMKpdxLanYFY5MJICZqWLYaNWY8gDa+t30omDGleyBj8IgiAIgiAONWje1LRQJBNxUPPE442b6tZYzJ7WO+trJfetiUQlPTU5mi419H4lQMio1VAAk6H30rzxtdPe5t/fE4Mmr6u1PlL1Tl/nPfVT1AY+UgYAWDQyS1TTmHCfAx8pCyq8CdNTxSSCqnOSK/HopsfKAkFp/v09MfDRMjBXpeMNfLSsVgRVqtAIPJPchBLYuKOecy/dTcQ5UvkcZrWE4wlWTKrqdkxICIZAWAKUmMRcFXnk5CnjbaNGGZTzpOMJT15KG+eAZajKclKq1L+ECRFnqmqcJxzKHBPIj3mCmBcZZXo+Uf5+hWeW7p1r8l8iCIIgCIIgCKK5QsbfRLPnjrtUtFJdvZP89jpSE1aYlJHnjR3F1NgMGV876iVIiduNsfctU9KEpnRxCWrbhaN67FFYOhC4Zco6gLEgdW/QpHVKePJSDZmQEKZXEY+xUNhBGA3lC1fckWC2UAbiSRdMCBXF5IlQqkMGETfhep5Mwkv/kxaHUeWqKDjPd8o39GZCCVnC5Kq951HFkwJuDieBqRmxP42/l/zhxw02/h7Q7RMysCTqRWPMm+7fMSfy/IuKFsFyy5zQyHnG4TcHy2O3zw2W042odXQzYN2UusCqydQ8YiLeNf/ryGu2ljeeFKEZcZUbmnjvcuNam+i9Wf15lRNHJqqcsF/deFo3DAYAmcWsWzdZrkiGRsa6CbhuQg0Alra9qZk662bfutmzk2bk3DIeGnTnmqEZs6UZOetG7frdfyfNfFk3pdaPXzd81o+xMhWeeyB6nLmx0Pz68LzKYFk3mNbPt74PIHqO9X26IvP1lhMLzaqNNLNs/Tqsy3K62faUwwYHy5N2PZGxnb595NpJuw5rnD3HDOh9FcYy/60A0b893fj739taBstFOZrxddq+izRz9x2agX2Hgu0Z91ejvUc7UonIaxU14XPdeDsRC6/jbO8dANSkNBN4IzyvefHwOlp0VN+s2+v0+efzwbJlhn871clYxvXP/eCqOvWrG3/v3BmeL7c6PC8yeumAudpnRWF4jRYUhOd+Rcdr0Fg8tPPJYFk3hgeA0XnD69zP/jb+bsjcieZNjQdFMhHNnidmXIw77no9o9iUSVCqhQAY9z2PWERgak6VLLPNybNVjlswpmcoNGnV6dTzsN3N08oAdmALTEA0gurWB9fBcJS/EgBP4AF4SgCGSqEThpYW6AlyusAExiBiHMwVYDWeWCWVWiQtwxOQOMBVFJSRUuKRdCVSRZ4ZuBeRZlYLiFgYeiY9w3VhAPNKL8TQ+9eSFxORFSF5rapWddvuoL6HRBAEQRAEkZGGzJ1o3tR4kMhEHBRIxgLj7voYdUvGgEwiNwNmPdY4EUzDRq0GGDB7avYUud0xdNwaNSQthc6v0jb3wQsxd4ISJ/wUOb/N/Af2XCHOF2ZunqoilfS0ND96yRecBj5SFlTA8yOkFt/dAzdNV+0W371vRaibHivz0uF84SgUhvzx+Cl98x9QKYHCZZ6RNyBMgAk/tU4GUUtOnCmhZ9wa8JQE90y4nRyO2E5HpfEZnrDkiKBSnDQZmCNguF6ElC0BIcGkMvSWBoMb5yqlL777KnEkMBG7wwWH2wALRZcMLAmCIAiCOARpyNyJ5k2NB4lMxEFBNkEpEpWEaAU5fZ0vUknGGj16afa03hg2anWDxaa6lrDP5L9UV9LFJeZVrgs+a/Vz4qV+QSIQmOrjkzdgZlmknyXD6y5OSabS0vxociZUhBEXygT81ofWBZFbkrMgVc6PMpdeupwwmKrs5nkjDb1/LYykqioHT7RiEkgVmLA4A7e9tDmDqagvKSESWiizyeDEQ9FLxHhg0O6aDPMfIBGJaDgCaJAZpdhzE4IgCIIgiIOOhsydaN7UeJDIRBzQ3D7ijWC5QZFFQQU37z9W+8NGBqliGTyJGgsWjmHY6NUNjmraX/iRQUxo5t+eKJSeUrdX50oCA2aU1UlsWjxCRU1JQKWo+d8EvkWSo4QmPyqLuxLSUL4R3FHRRvAisSChnjMlIDHpeSd5qeZMhj5JkntVBw0GgENY6q6IH03mey4Jr3Ke5CxIhyOIxqAhZXj97QhiX/JY9WPB8leVLYLl76tbRNrlaV46ug/TiK0LguUWms/K98nQm2RXKup1dFT+jmBZ92HKM0LvoErNR0n3DtpY1TbS17E532FP6OkWjoyGPuueNboX0DZt/NsqQ08i3R/psJzQPwUA8qwUMqLtcqd2Lopyw+11vx0g6kMVN8Pzmq/tI2GEXi7pPis6Fsv8s0vfh+5NlaP1CwBdCrcEy7pf03Y7PEdf7mqRdf86lZr/jf4Vm6sdl9jNnUKmnSfd9ypmhstGFk8kk2f3ZHqk5aA9DX23jM2/I1ieWjkzWM7mTZa+PqG9x7q/1taaXGQileabpftA6a9Va9e07oGlH3vH/G2Rvg6P7wqWrRbh9b7dDsdiR1KYQt+lb9L8uHQfptYFYb/6NZ1rhtfbd9V5ke1Xdmo8X6KW+aGXnKVVjZm1l/vQvZMu/eOrwXK8KPxsy89JRrbR3+957W7cq/3XhfsLbtvn+9gXNGTu1NzmTVJKfPHFF2jdujVycnL2vMF+hEQmokm47Z43Is/9lKcnH1VCki4u+fjr6iM26W0z9Vnf/hrK7Km9MWz06uD5sDFrIFntynEHAvvae0lPbQxS3aSKcNqT0CQZwEUoMPkV6mAiSH/z5z7SUCls0gBcg4G5CEQgJqRq51eBU/oRZCz0puKuSqsTMQY3YUIyE0ZSwKx2IQ0GYXLwlICTa6j0O6H6chIcRkrANZXfEkEQBEEQBEEQRGMipUTnzp3x5z//GZ07d27q4UQgkYnYb9w20hNZdmOqlkkIivju7AX7Q0zaHbOn9sawMWsi60ruW3NACk2A8kDSI5gaw3Op/xPlKi2RMyy9oxj9Hy8PXlt6Z/Eet19yV49gbMqkG4BUnktMIIgWUxXk1HOW8irLeZFG3NZec2VQZc6PTILBAK68mnwxy7AlmKOMv6XB4CYMuBaDwb2IpwQHkwxujGU1WieIhuJKDrcBxt8N2YYgCIIgCKK505C5U3ObN3HO0blzZ2zdupVEJuLQJBCYdgPLoD0FRtdalNOeuH3EG5j12EXB/wcSs6coQUkXm0ruWwMwHHDl6xePaPyIpqV3FKP/E/UTlgbMLAvEIxV95EUsuXrEUShGKqNvlR5n2BLCUAISd6SKbGIADAaeFEEKne8/Jbnyb+IuvG1VH4B6zaxWqpNrqWgos9qFGzdgJIVKm2tO5QiJZoMA220KyO62Iw4+vv76a4wePRpr1qxBdXU1unTpgoULF+LUU08FoO5sTpgwAfPnz8e2bdtw+umnY/bs2ejatWsTj5wgCIIg9g8NmTs1x3nTtGnTMHLkSMyZMwcnnnhiUw8ngEQmYp8ybJQSlyJ/sp5x8p5Ij1zyU+z2JDb5wlJjCky3jVyNJx9pPB8lX2xqam6eVpYxQkz3O1JRPuFr0lApb0vvVILR0jv2LBTp1KW9bg7OnXA83JUR43Fuy0B4sqpcGCnVUFgcBgCeEupaYyr6SHK1Da9xvX54kHLHhAQTDFalq6KeLA4z5YtH3r5cCTvfhFEjwF0JJ8eANJmqRpdQ7W59cJ13DiW4Czg5DE/fR9FNRMOhSCbCZ9u2bTjrrLNw3nnnYc2aNWjdujX+9a9/oUWLFkGbadOmYfr06ViyZAm6dOmCiRMnori4GBs3bkRBQUHTDZ4gCIIg9hOHQiQTANxwww2oqqrCj3/8Y8RisVreTN9//32TjItEJmKfoPsPAWGUiXqiCUyB6Xb0Nd9bR5lOhypIJqHntpGra4tWjDWqKBTsxxtjXaOq9ge+qDH/gZ6R6mp1YeGoHhj4SFlERGKaiMOEt+idXmF6gg+TGDCjDNzzUvLT3+pDv1nloWiE0DDbSKlqcbpZut9OmAzclWCuPw5VQY65MmgjOVPtHAk3ztV6ANwRcC2u0t0MJQ4Jk8GscgEhIeIczJZwY1ztV0hIDjBbwEgKCIuDuRLWThtOrulVqAPgSEgLMFIq/c7fv2Gr8Rg1wC1T1mHBGBKaiIbRkDK8/nbEwcXUqVPRoUMHLF68OFjXqVOnYFlKiZkzZ2Ls2LG44oorAABLly5FmzZt8Mwzz2Dw4MF7PYan7UnBcr4RXmPHawbP29MmudnuDj/W6pZgeUrl48FywtCMqKNewHC0L6ykG05j28VDQ/AOiXBSrRt3/zC+OdKXoYVQV4rQVLtKhDvd6YbH4qYdR5VmML4ry/K2fM34O2KwnH0Krhs768dbGA/NgGOaibjJsptS51uhaXBMMyzW+/3HjiMi2x+RE5o8p/edCVPrd4ed/b3XDcbj2ntcpB1XugG6Pk59/Po50vdRaYfv3WHxqLm6fl7+q5lEu5pZ9lPt+qMpSTdxD5DZ2+im87ohe0EsfO/186WfRyBqaq4babeI1SAT+v7+m4yabXfK3Rru3wi3P8wKr6ldTmj2/ZX2/lpp5uq7tPflm+1F4bjywvd1l/Z30Jgm2GO2zYs831nTIliu1gzo0brRdolXT7608TojGjR3ao7zppkzZzb1EDJCIhPRqKSLSz4ZvzOZKvk+e1pvDBu1OmzDGCRkGPHkRaJk48lHetcpHa+h7Mu+h45TaXNzJtY/smnwhHUqWgaanxCAWx9aB78AjmTAgjE9ccuUdQBjWHBv7RS4RSN7YOCjKqKJCS9qyavAFrwl3npf3FHRTAgruwmJfrPKsez22kJTvyfLI5MjvY3eH6TE0tt7KL8lb57hJBjMGgme8sSbhEplY64Mrh/XYjAAuBYHM1Q7N87h5DIYKQEhPRPwpICTZ8CsESolzlZqmkq5k0BSmXgbNUL5NBkM0mQwqr0JDFMilzQ4rF0ORIwHBuDME8V4SoJJCSeXh5XsABKYiL1CSJa1ytCetiMOLl599VX07NkTV199NdavX48jjzwSJSUlGDRIVbfatGkTNm/ejB49ws/6eDyOc889F++9916jiEwEQRAEcaDTkLlTc5w39e/ftMJ4NkhkIhqNYWPWAJwFVbYARKJRfHxBJIiYCV6Qtdr44tLsaZmjkoaNWo3Z03oHYlVj4qf6gUVFMl3Q2RtKxq4JDr9k7JogaksyYO6D2auSDRm/NjCqloZ3LoXEkAfWgmsG1r7QdMuUdSoqDBK3PFwWiEMLR6kfIQMfLcOie6Li04AZKl2Nu5qY5L1fwgyf++KTqhintvMjkphvrM3U6z79H1fm3xzK9+mmx8qC4xkwowwwAAF4511CWIDNuXouADuXwfCOm7sSrsXgxhl4gsFISS/FTgKuikpyEgxWpTLnBgA7l8PapSrEMVfCyTPAbQlrpwOjxoWTa8LJ5bB2uhDgSLawgn35leSEpaKYmJTgKQHJOIykgBvnSOVz8JSEG2NwEzyjsEcQBNEQ/v3vf2POnDm4++67cd999+F3v/sd7rjjDsTjcfTr1w+bN6tInTZt2kS2a9OmDT7//POMfSaTSSSTYcRDRUXFvjsAgiAIgiD2ioqKChQWFgbLu8Nvt78hkYloMCX3RSulBTJCBqHJF4bVD3O1LLmquBa0MTwTZqGiVDKJRoHHkww2w20jV4Npr+2t2ORHVSkzaC2iShNKfHFrb3hqUq8gkilASjAwDHlgbS2hacj4tUq0kQgqpc0b3xODS9d6ghNCQc8zxoYRbu8LTb6Q5ZMuMAGqituAmWUQpiYQMe+98ffhZ5V55tlqXSggMiE1g24Zed/9/wfMKAs8j/R0u36zygMRRxl1e9t4gtXC0cVqW5dBGGpsYEp0k8w3/1bXm0qbU6+lCz6DJ6zDvPEqymjY6NVwExySAfNKM4t8tz64DlaF44lfHJIxiJiKnLItVV1u4WgSlYjGRTQwXU40w7BvYvcIIXDaaadh8uTJAIBu3brhz3/+M+bMmYN+/foF7Vha9K+UstY6nylTpmDChAn7btAEQRAEsZ9pyNypucybDjvsMHz77bdo3bo1WrRokfH73f/ed103Qw/7HhKZiHpTMnbNnhv5BPlWALiXBqev9/DFpmGjVwfROdmIpN750U9eJI0ungSRSKi/8BSIYhl8JPz9DBu9OhTJGsiciZ7QpH84eELT0HFrIDnD3AcvxODStcFI0iOp5pVeiFsfXBemugHq/EqAOWFEU/qhZIpg0lkyPHyt/+OqIpww0s4zCx/LhhWj3+xywBN3JFMhYNKr7sak8lLy08iUAAQIU3kfDXykDPDS35bVoerckruyj/3maWVKXIopb6ZAIEvDF5gA7PG9HFy6FlZSqjQ5DogYVwIXABEjc29i3yEkj/jK1Gc74uCiXbt2OOGEEyLrfvSjH+GFF14AALRt2xYAsHnzZrRr1y5os2XLllrRTT5jxozB3XffHTyvqKhAhw4dGnvoBEEQBLHfaMjcqbnMm9588020bNkSAPDWW2818WgyQyITUW/8CJxAs/B1I09seGpSL5Tct8bzzfEFB1VRbdjo1QBnGaur+el2+mvDRq9W6U+uimjRdRLfB0c3DWcSuH3EG6qtJtzcNnJ1nVPq0tuoMbAwEqcRU/NKxq7x+g1Ds6TvtM3UAQ8ZvxbzJqjImsGla8MoLiExeMK64LwLw4te0gUgINqvJ8bpfkt1wa8kBwYszeC75LNsWDFufKo82Lf0zbGlL44pzyTJlPjlH8uyYfUzDd8TfipgYxBEOzGGZNHu098GT1gHYYEEJ6JRccFqGQ7XdTvi4OKss87Cxo0bI+v+/ve/o2PHjgCAY445Bm3btkV5eTm6desGAEilUli/fj2mTp2asc94PI54PJ7xtUwMssYGy7oJuL5+mRGNjOpnjM/Y1+jv5wfLjgwNhDvkbQ+WdbNoIGos7WT5QbDLDY2FDzMrM7YBgE7m1ozrt4rQrHunCPdXI6xoO54fLBuaQbZuzGyx8C5ytRsaBucYocEyULfS2S1iVRnXp/8wyuYrop+vGjc8lqI0g+fNlWEVwl014bURs8L3QjeVzrHCY+FpswvdJDolwvDqlGsgE7Na35RxfUMYu31u1tca0yS6MRmZe1fG9VMrZwbLYwtL9tn+56WmBMvbtb81/XpJmOF14IjotfddKvybSCSi17iPHl2yywmvLyPN+PuwvKhxe7j/sN+46WRss7fo1yoAtM7fFSzvtMLPl76bfhUsV1aG6/Pywr+pZ47psy+GeECjX0fc+2xM2pmvh31FQ+ZOzWXedO6552ZcTufjjz/eD6PJDIlMRL3xU7yemtQrsi4SYeRHLqmcM0iDoWTsGjylRYuU3LcmItwwRCOR1AthBIqfPsW8yBTJGITFvCgZBG10M2rmKCNmP33vzttfgzQZXIvvUSgKTMzTC9cJidvueSOIPoqk/cFLtxNpaWlGZmEt/RyqHehRTeq/IeNVSty80gsxeMK6QFBjrlTnjQMAgzS99DQ/hUzzTQrKxHnj2pNY3/+J8kgK29I7itFvVjn6PVmOZbdlF4WWlxTjxjnlkfH7c29hsMBUPJiPM+yxz6bEj3bSo57SGTRJRZK5CUqXIxofimQifO666y6ceeaZmDx5Mvr06YPf/e53mD9/PubPV2INYwzDhw/H5MmT0blzZ3Tu3BmTJ09Gbm4u+vbt28SjJwiCIIj9w8EcybQ7duzYgZUrV2LBggX45JNPmixdrvmfSWL/w1itam9zJvbCU5N6BaKKLp5Izz9IXxek3GkpTJIBT01OE2J8g2tPFHFjHE6OASfHgIhxgKmS9jwlVIUwX2DyxQ0pIRmDtDikxSEsDmGqyz5bJbxwQGlPPZFGGZZHhZpho1arx5gwlZAJGfgSwZV7TjP0zuuchy70vIfCc+D3N2T8WjUGT6CRXJ3fwADcL4TmqlQ5Xcjx+w8Epyz0f0IJRLrAtLvzkonlQ4uxfGhxkEoXOR7hjc+rLOf/32+2ErCamlumrKt3e+7AEzz30aCIQxoX4R25+j2Ig42f/vSneOmll/Dss8/ixBNPxEMPPYSZM2fi+uuvD9qMGjUKw4cPR0lJCU477TR8/fXXKCsrQ0FBwW56JgiCIIiDh4bNnZovb775Jm644Qa0a9cOs2bNQu/evfHhhx822XgokomoN3MeymyKnG5inSlyxxda/BQ6IJpm53PbyNWeN5FnIu1FJEmmysoHETKuWuCOCPvSYQwMEnC91C0pVekyziCxe1+lWmlzY9YoQcczvw68iQJBC5BuKEIFEcReVNee0M+rb/qtRCVERCEmtSikNBNvqe0zFKlYcI6DSnEeN00vw+K7VeSN77u0NM0Pqd/s8iCdbdluUuUyIRmUlM21VD4vsirdQ4s5ShTs/3h5MAZ933vLTY+VwbABbksVAaZFZXNXgtnqvYubDLff/QakoarDOQklHi0YkzmSKdt6giCIfcHFF1+Miy++OOvrjDGUlpaitLR0/w2KIAiCIIj9yldffYUlS5Zg0aJFqKysRJ8+fWDbNl544YVa/o37myYVmTp16pSxpG5JSQlmz56NAQMGYOnSpZHXTj/9dHzwwQf7a4hEPZgzsbaolI7v5+SbUUvOMm4nYizwQZJCQsaVesJtFR3kixTg8ESL0LCJOSIUVqRnPsRUuXrJWK34vT1GNHkC0ewpvVSkUiSFj0VS0AIhx6+wx1lUTGsAkegYxjBvfE/c+uC60PcoS2RSkIoI6QlT3vk0omMZMKPM7xqSM/Sb5UUT+VXgGHDjU+WRdEj/WJcP3b0AxNLS4tLHFghN3It2Qigg3jinHNxVleYCkcobP3dkUFFPF6Fueqws0i8TAHcBSAnLUaKkkZLgtn9yZChiCulFian3U5iq0lzMUQMfNno1pKneT2Ep8YlS44j9AaXLEQRBEARB1J2DPV2ud+/eePfdd3HxxRdj1qxZuPDCC2EYBubOze5Ftz9pUpFpw4YNkTzBP/3pTyguLsbVV18drLvwwguxePHi4HksFgPRvNmTGDVs1OrQu1oiEIoCkUP6JeoluC2CsvWSc4gYhyGhop2gxANAq8jm+QH5FdwkEIofmvChI70Kdr5pOQwWzRhL91BiiKQBqv1nPu6h969V5yRLdNjcCZnXz38gGj0zaJKX4qUfi+/JpI0tInR5y0vu6oEBM8qUAJf2WuQYgrS9oGvcMK8cKwZnFpoCYcobiy/6ZCRt/Y1zyrP7RmnG50wAA2YqYUmYDNwIU/C4AFzLC1xz1DXDbe/hCC9tTwTXGHOldg0IMFdCWEosZBJw4xySM7gxFdlkpCRumbIOboxh8QgSm4h9hys53AZMfBqyDUE0lCXuQ8HygCxG3wCwQpQGy10Kw2noN9UtguVtqdB4u1UsatydZ6SCZa59qXybLAqWf5C7JWzPQ4Pqb+zDIn21NXcEy5bWVx4L9+EyzSwbUeNvnTjPbGqrm3BXOKExsJE22diazEMmWsXD40+J8HzphujfJ3Mj2/z7+1bBcm4sPJbWeaF5sW4CnnSiPwd04/L8RHj+dMPlmBHO33Wz70SaEbOpnddchNvr+89mAr636KbjAGDybJOQA5/RecP3y34Gx8YEy/OgmYBrbfT3rsrJgU6lZuT9dbJFsKz/HezU/g5qtGtPv74A4PBEaHSvX++6CXmNG24/YuuCyPa6KbmrLTPt+s5mNN8yHjXZ1//Gqu1wn5VVWtEErd+aZDjGIZuXRfqa27Zfxn02d2bWPBosuzL8ve5/tqb2cy5aQ+ZOzWneVFZWhjvuuANDhw5F586dm3o4tWhSkemII46IPH/44Yfxgx/8IOKSHo/Hg5K8xMHP0HFrwA0WRJb4wkRQfp6plCpACUcixiENFXUSiAKSw0iKUChhqtw8d4QSm9I9hXwBSmgl12TYiAUhQ6pNkHKWzZsoLb0t67HevzY4rqHj1kByFqTJNYi09ENdlKuVKscQpMkNmFGGJXdFRZLAG8kX97S+pTYXZCIUhFYMSROb9HOki4S64KSJYIGIJQF/fi8sJRCp7WVoGK5t7/tSGUklBnFHVdoDU0KQL3QxL5WRCZUy6ftlKXFJhteY994zV8CqsFU0msHAU+pL0o0rMVNyBP5emc4hQTQWEqxOlacybUcQBEEQBHGo0ZC5U3OaN/32t7/FokWLcNppp+H444/HjTfeiGuuuaaphxVwwMh1qVQKK1aswMCBAyOl599++220bt0aXbp0waBBg7Bly5bd9EI0d+ZM7IXZU3pBxBjcOIeb4Jg1/SKIOFfGygxwLa5ei0eNvGdNvwhPTe4FJhGIT06uEUQ6uTHuiSSeETgHYNT+MKld4U4GwkMtgYlpfTDtuSdM+Kls6VFMQ8etCUSNhqbR6Tw9tqc2PuYZfKv9Sy8VLRBUPPw0OV0c6TerXKWn+RFI3nH5xt2BYCPC19N9nnyEoR7S0FL6mLY9opFKTBeivP0GN4bTzrnu6cVdJSZxN+yTO1JFu2nRW8JkcBIcTq4BJ9+AXWDCLrSQKrRgF1iwC2Jw8i04BTE4BTHYhTGkWsSQKrJUuyITycMsJFuaqDnMQKrQgJOjophIYCL2Jf7duIY8CIIgCIIgDjUO9nnTGWecgaeffhrffvstBg8ejFWrVuHII4+EEALl5eXYuXNnk47vgDmTL7/8MrZv344BAwYE63r16oWVK1fizTffxGOPPYYNGzbgF7/4BZLJZNZ+kskkKioqIg+i+fHUpF54anKvQJyRLIxEgcGUKTdTwoGw1MNHxDwRKmFg9tTeeGLGxZg9rXcoLpm+OqEpI1qkVIBfRc8XbExWW5TiUeNt/7kuvOiG5j5zJvbyRKCw/72KYsqA9DyWpCZ4Cc9TyI9iyooW8aRXufM/e4N16cKQxspbi6OeTF57PSqK6WJWlv1H9pfB18k/38Lwj9mLcvMM4v3IJxFjcGOAncdh5/LgfxFT14WIc7gxJVq6MSVwijiHk6O1z+ewc1TKnDIEZ0E1PoLYVwjJGvwgCIIgCII41DhU5k25ubkYOHAg3n33XXz66acYMWIEHn74YbRu3RqXXnppk42LSSmz/ETcv/Ts2ROxWAyvvfZa1jbffvstOnbsiFWrVuGKK67I2Ka0tBQTJkyotf79999Hfn5+o42XOLAJqtg5fopV2mWeVpWtVgU4P3XOE5UyVcrLtM9MglJzo9/s8lqijswg7ugCk2TA8pLs3kzBdhLQLCWCVDj9dV1IcmNeuqQMjb/191KlUmpjTRO9/Mgt3xg+MGf3o7u8bbmrlo0aASMlvcgrBtdiEF5avTC9yDADEN51EURKMWDZbY1TBY9oHuzatQtnnHEGduzYgcLCwn2yj4qKChQVFWHE/16MeH52L5hsJHfZeOys1/fpGImDj0zXnavdkzQ0E72kDK9LV/uicETUY0f3TrI0Xxyu9WWx0LCjQvN5+aIq6qPUJhHenW1hhb4pu9zQG+W43M3BcoKFPi9u2r1V3a9Jv4NdJUI/kY6x/wbL292o95Huq1QjwnOxQ2v3RbJlsPzvXYeH47WjHqO6x5HONxXh326B5o+UZ4VeS+k/jLZWhf5OLMudoGz7AwCp9VeUqA634ZoPk9avvr4oFrYHgAKzJljWz5epvd9FZtT/Rkc34r1MPpy1XSamVD4eeT4m7856bU9k5ml7UrD8yfdHRl778rvweneT4edA12O+DpZzNe8l/TpqFQ89w4CoB5n++aL7p+VEPNqy/6TVrz39cyeueT0ZWr9v/yfqcaOnXUV81qpDf6kWueG1n9K8pnbWaL5NANoXhV5wMw6/OeuYDxaek/cDUHOSR858Y5/PSfZm7nSwzJtc18Vrr72GRYsW4dVXX22SMTSpJ5PP559/jt/85jd48cUXd9uuXbt26NixI/7xj39kbTNmzBjcfffdwfOKigp06NCh0cZKHJiUjF0TmHwz4fl7M9SOsvFSMWulePFw/VOTGyYUNQeBaeCjZVh0z+6jmPRqbUBo7n39/NDIW3IvZQ2IRDhlQhoITMcDvyjXE5gASNMTe1yvHy3FTxphap4wPaGJsUBsEiYD11IAhcnAHQk3xmDWqP+B0AzcT9sTfiojfM8pZSLuFnBwBzCrhTo+b35k1ki4cbWdAAADWHY7iUrE/sEFr/XjuK7b1ZUpU6bgxRdfxN/+9jfk5OTgzDPPxNSpU3HccccFbXbt2oV7770XL7/8MrZu3YpOnToFppM+yWQS99xzD5599llUV1fj/PPPx1NPPYWjjjqq3uMnCIIgCIJoCA2ZOzVkrnUgYhgGLr/8clx++eVNNoYD4kwuXrwYrVu3xkUXXbTbdlu3bsWXX36Jdu3aZW0Tj8dRWFgYeRAHP6FBOELjZhkuhw3TnnMWpLjNntKrwQJTc0EXmAbMKMNN08uytr1xTrmqEOfd2Fl5a3Eo/vDQb0kYyFphDlCv+abgTAIrB6nn0vCimqSW6ub9v3yo2tfKQcUR43Fl7C2VCThTxuDCYBAGgxtnoaClf7LJsG/uCU1MSkhTCUXCRFAxTlhMPY97aZimSo2raeGnySkh68D45CQOFfZHutz69esxbNgwfPDBBygvL4fjOOjRowcqK8PKVnfddRfWrl2LFStW4K9//Svuuusu3H777XjllVeCNsOHD8dLL72EVatW4d1338WuXbtw8cUXRyrJEgRBEARB7EsOlXS5A5Umj2QSQmDx4sXo378/TDMczq5du1BaWoorr7wS7dq1w2effYb77rsPhx9+OH75y1824YgPLQZNWhcsB1Gkuum19tyPGpo3vuf+GFoE3Vi75L41QTl6BqaEJT89zjP+BmsekUf7igEzysDk7r2Zlg+tLRytHNTw6J10ISpT/5F93apeF2Zo9O3kAkZSi0ISgJOjrr0Vg4txw7xyuAUMK28txvULVJreylt2v59MaX79ZpWriKgE2+M4CWJfI8AhGqBs1mebtWvXRp77N38++ugjnHPOOQBU2nn//v3RvXt3AMCtt96KefPm4cMPP8Rll12GHTt2YOHChVi+fDkuuOACAMCKFSvQoUMH/OY3v0HPnvv/u4EgCIIgiEOPhsyd6tueosCz0+Qi029+8xt88cUXGDhwYGS9YRj49NNPsWzZMmzfvh3t2rXDeeedh+eeew4FBQVNNNqDn1umrKuVYpYuLgVl4OF53SCMboEEbn1wXa1qY/Pvz/zjYvCEdV75eLX9vNK9N78+2KORGoPmVA1td1FSu2u7J3Fpd1AqHHEg4UoW8aOoz3YAahXAiMfjiMfjmTYJ2LFDeUa0bBn6a5x99tl49dVXMXDgQLRv3x5vv/02/v73v+Pxx5XvyUcffQTbttGjR/j50r59e5x44ol47733SGQiCIIgCGK/0JC5U33b+1HgP/3pT+E4DsaOHYsePXrgL3/5C/LylDfeXXfdhbfeegsrVqxAp06dUFZWhpKSErRv3x6XXXYZABUF/tprr2HVqlVo1aoVRowYgYsvvhgfffQRDMPY3RAOWJpcZOrRowcyeY/n5ORg3bp1GbYg9iULxvSsJTT5/jtA1OjZF5t8oSlSJcwzYPYjTm59MHwv5z/QM3jOEBo7c1ti6Lg1YPLQjjJqblz/dDkgw8gjgiAal4aGcPvbpPsSjh8/HqWlpVm3k1Li7rvvxtlnn40TTzwxWP/EE09g0KBBOOqoo2CaJjjnWLBgAc4++2wAwObNmxGLxXDYYWlGzW3aYPPmzSCaFy2sKiQsNU2s0ky1K9zQlHtrKjS43mWHBrgJIzT2BYB2idDoVjf4tjTDaH29ToxHbQ90o199m9axzOWaq0Q4dlsaaa+F5ttHmOH2Lc0wTVQ3+/7ejRaQ0U2p4zw8Zr3fajc0nm2hmWK3SDPIjpgJa+eydX5ohuyIcH/Vjma6LqJ33/W+CuOhWTjXJmo12vaGZsYOAAnNVNzUzJB1w+aYZpiswzOWjFUcGdsWjlm7G6lfX+nv0TXsoaz97Qky+t43DLLGBsuPFMyIvHaYZhRfkQrfV91o/rvq0Ji+Y0F4TaSjX0v69ZJnhtd0kRnur7UVvaGiX0vnOzOD5bXGiGBZ/xvWP0+6FH2XdVw77PAzsCgWGtsfngg/N0bm3pV1+wkVs7O+djDi/w3vYrvwCN7Yb/ttyNypvu0pCjw7TS4yEQcWtzxcFqaWeb43vljkpyz5aWj+36EvOClfJBmYayv/Iy/SyVDGy0yqFDwGv2KYVMbNesodU0bekin/m8aIbjrUGfhI6L3kR41JDiweUbeIphvmlgfvMXfD91wY6u1mrleVzvNq8tuuvLVYiVBAUP0NiKbd3TC3HGD1i1giCKLufPnllxF/wj1FMd1222344x//iHfffTey/oknnsAHH3yAV199FR07dsQ777yDkpIStGvXLpgYZUJKCcbqL5IRBEEQBEHsbxoSAQ40XRT48uXLMXfuXGzatAnvv/8+OnbsiJkzZ+KYY44JoqX2NyQyEREkAxaO7hGITQAgIZU+4JkqAwCEtuwLT7rABM/7SO/bUNtxWwZChb9PpvUViMiMgbvAkAeUSjz3QRKbMjFochglpnyn0s4781Z5Ap4wvcgxV3kzgQFLhu9ebPJvZPo3O/2Kb9zr068c51f2gwTAlYDE06PguKpYB3hG3zHgmYENF5j6LipX4pej9ivNveuPIA40pOSRu6312Q5AvYpg3H777Xj11VfxzjvvRLwAqqurcd999+Gll14KinScfPLJ+Pjjj/Hoo4/iggsuQNu2bZFKpbBt27ZINNOWLVtw5pln1nv8BEEQBEEQDaEhcyd/3lTfCHC1bdNEgc+ZMwcPPPAAhg8fjkmTJgWFVlq0aIGZM2eSyEQcGCwcrcSGBfeq/wOxyU9p9IUhLYXOfx6oQ74/kyZsKBFK/18JUipyKVSZMkUp+lXiBpeubdZRTUPvV2LZnIca7xhufUhFhQXnGyo6DFAin/7Z6i9zR51T1wqrrfV/vBxL78wszNz4lBKE1PuAjMbvfrSbLzQF7zNLe08lIteCZMAz9fROum5JOZirHa8TRlOBATyJwPQbAhAx4NkBjSM6XbdIiWaSAc/cTEIWsX9wwSKpAvXZrq5IKXH77bfjpZdewttvv41jjjkm8rpt27BtG5xHJ2yGYUAI9WVw6qmnwrIslJeXo0+fPgCAb7/9Fn/6058wbdq0eo+fIAiCIAiiITRk7uS3r28EONB0UeCzZs3C008/jcsvvxwPP/xwsP60007DPffcs8ft9xV1EplOOeWUenXKGMOrr76KI488skGDIpqWm6eVhdFFnpm3NFgYbeSl0ekCRrpZeCBGsDDFKtLOj5LS+k/vS0/D8wWpIePXQrLGMQhvDEruWwMgajY+dNyaqIeVkABnQb2CkrFrAh+rvRGcbn1oXdQvy9V0H7/6mhtW1tNfk3o7CbAMvmiASoFjUkuV1MQs6BYOLBwHvCp+kKoNY+E2wvLEIKmimOrq4+SLO4CKptL9vqSfnud9mvnV6IDdC0zXLisH0ywlGMKxBeP30v+evUn1wV3AT/+/8alymDUSqXwGIwW4iQwiqWZX9ixFVxENRMj6+wT429WVYcOG4ZlnnsErr7yCgoKC4O5ZUVERcnJyUFhYiHPPPRcjR45ETk4OOnbsiPXr12PZsmWYPn160Pbmm2/GiBEj0KpVK7Rs2RL33HMPTjrppN1OpJoLNBciCIIgiOZBQ+ZO/rypPhHgQNNGgW/atAndunWrtT4ej6OysjLDFvuHOolMH3/8MUaMGIH8/Pw9tpVS4uGHH0YymdxjW+LApFYaG4uu139J64JQ2IEMo0y8SCVhytDbibGoKCVl1Gic1V72I2R84WvwhHWYN77pjdCyVrLzRArJAHgCnX5cTMiMUVt1QTdR5453TjW/VGmo/TNXeiKU935oYpMI2ihRJmu6nAS4Iz0fLi1iiYeeXEGEk7+JJir5ylpgFO/tr67iUt9FylSc636wzNudd23qEXX+604O8NwN0X0EUUhexJWZUn0YSS9tjysRjLthn25MneO+i8qDFDwnAcR2SRhJwLAluO2dg13q2JyEiiAzUhJGKjzX/R8vh5MHCE6CE1E/RAPT5eqzzZw5cwAgMKb0Wbx4MQYMGAAAWLVqFcaMGYPrr78e33//PTp27IhJkyZhyJAhQfsZM2bANE306dMnKMO7ZMmSZlsdRedQmwtZzIXl3RDSDXSrNCNrS/sAbpsIPSxaxUKzagA4XDPVzuWhqfROERpc6/vgWr/jC4dF+nqF3RssXybDu7Zvm3cEyzXSQl240H0sWP4fNjxYbmmE429hVAXLOzQTcAAwtHEmRbjPfCM0Az4x7+tg+XsnvHY2bOsY6cvUzLfzrWTG5e3JnIztedqdPifBM75W44bT/hwrNPFOGFET71wzs/G3btRu6gbuWhvdlBmImqjr5ug7NAP5KzA53IDs25oVLayqyHP9GtGvo5R27eVpxvLbU+F1kC4ImFpfcc1ovlPiv8Hy8fFvguXOVtREvEb7DhQ7wvX63/0fEzcHy/pnUJe8aJrS5lSLsC/tIm0dDz/bqkXdPnfSP9OIfUND5k71T69r+ijwY445Bh9//DE6dox+p6xZswYnnHBCvY6nMalzutzIkSPRunXrOrV97LHH9tyIOCAZ+GhZ5hc0sUlPgwuFJ+8lP/1N1k5/CyKTPG8mP80q4+707xm/P6Z+oIOxiMA0uHRt0M/cCfs3wmnouDWYM7FX8D+A4Llvmg5ENJi9Zv4DPXHrQ+tCEQteNI/mlxQITWniVi3qMJmTnCmhKViBQHTa/YZZdlPHCeR1S7zoJb8fL+qq1vZprwsrKjBdt1gZiwfRdA7AuBKLzOpQYPLPoeRKLAqGKzyhCF4bB3DjahCs0ovUs2UQBWVCtRcmA+cS3FFjchNQ1339tQLiEEeARSa19dmurmSq8ppO27ZtsXjx4t22SSQSmDVrFmbNmlXnfTcnaC5EEARBEAc+DZk71bf9gRAFPnLkSAwbNgw1NTWQUuJ3v/sdnn32WUyZMgULFiyo1/E0JnUSmTZt2oQjjjiizp3+5S9/Qfv27Rs8KKLpCNKq0iKUgj85mSacsOg2YXtf/fDVJz89ToZCk/Q0A8HCZumiCAPm3x8KSrc+uA5MhsIScyW4Xw2PKZPw/WUQXjJ2DRhUyhyDEpwiMIanJl6ovJjSf8Ax1uBIJiB6TgBVsU/3ZdLN1PVz6i+nV5XLZgC+7LZi9H+iPDp0qelH6WIjtDH4aWx+NBOvewW56xaVh9ecFhkVpAGmtfejkFb1i/Z/zfJywFQCk7AQCGR+2ps0AME8nyobYfqhd50zISFMBrNaqtTBuIrCunaZOid2jjKnN5IMsV0SkBJmlQR31HbSUKmgRkpd+5IzuHGg70K1Pfk6EUTzgeZCBEEQBEH4HAhR4DfddBMcx8GoUaNQVVWFvn374sgjj8Tjjz+Oa6+9ttGOtb7USWRKD7/aE+mO7ETz4KbpZWEqkiZS6OJRJA0M4Tp/GyAqQvhiky4+hdFPUcEpiBhhwNP3KRHl1ofWBVE7TPMOClK0vCgnLgBhsFrqQ30r0/lCkR+VtCeY7YX0cAbmRs+ThAzMvtMrvtXHi2lwadiHZCqSKfNgtEUZphjqAo0vxg18pAySh2KTbwZ+0/QyLL47FJr6P1EO7khvWwbu6gqT168RFbWAaJqj/3+dBaYlocCUSbyCVBFtfkCdOoCowNRnVbkSjUwvHS4tbc+xvPRLV1XIC3ycvGVpqoglyZVQxFwGPwr6mhXleK5fMa5ZUR68rU6OEpOYw2CkJJhUwpSdx2BVSgiLwawBhKlS6Jw4gzSjaXgEkQ1XMrgNUKUbsg2RHZoLEQRBEETzoCFzp/q2P1CiwAcNGoRBgwbhv//9L4QQdY643pc0qLrc9u3b8bvf/Q5btmwJ8gl9+vXr1ygDI/Y/i+/ugQEzyqI/8P20qEyeO5lS6JDl+Z5g6sf9gjE9ccuUdRg0eV1k37qAke4BlM3Pacj4MI2uLpXdfMNuJj1zbq+v3QpO/nF6TnHM9yoKxi4D4/JMY6wL6UbomXh6rBKeBk1eF9mH9NIL0/2TfAHqpseUsMi8VMR0gSmMaFM+Q9LzVQr2wcL/Bdeip4TWJlOK2x6IbKILVv4L/n79CnbpKWiaGbobAwzPf8l/G7ir0teMpNqeuaHACS/6SsS07hIIIsWeu744GJcfCeXvh3NAWAxMAHYeC6KnhKXEJjfGYNbIyJj7LiyniCZit+wPTyai/tBciCAIgiAOTPaHJ9OBwKZNm+A4Djp37ozDDz88WP+Pf/wDlmWhU6dOTTKueotMr732Gq6//npUVlaioKAgUlqPMUYTq2bKgBnKiymIgAlDkWqXoPfbpVeXyyAGSP11f7UfCcUZJICFo5SwccvDZbhlyrrAzDrSd1oEk75OMi/iRNtmyPi14c59Y3HpVYPTj4mxQHjyxaSh968Fc6XSMoTaxu9bF5yemtQLw0avjgooQoJ5leP06C6lzrB6V5MbXLo2jCrzjnfwhHWRiKZbH1qH+ff3xKBJ66LRZGn71g2yI55NQGAePmBGGZbcpd6PpXcUo//j5ZAc4K6EazAloPjeSNrxRQQnT2ALxCcTWDmobiLKtUvLA9FL+tdUWhRSIAZB7eu5G2v3zW2E1fb8a89QKXOSq9e5rYQkJgCXeybqUPvzr1Mf5oTrrlmpzsmvPLGpzzPlwfXlxtT2gRClcc3ycnAXSLZgWNUvTLlLT/EjiHQEWMOqy5GD7j7jUJgL/buqNWJchXDqZs6FZmhqrZt469dbkVEd6Us3zNaXdSNoSzOS1o1509HNvnW6O08Ey0+lwjZ6vx0S32ftt4CHx/WvZJtguWvOV8FyQhsvAKRkOI3+3s4LlvW/169qDguWdZPjlIimQeSaYd8xzeS4hRWey045W4Pl71IFwXK62fZhZmjGvDkVVkhKaYaDOdqx5Bjh+whETZZ1M2T9uHLTtgnW8/S+wv3o218iMhvaPifvjzzXzdWvwqSM2xBNh36tAEClG5Z6199v/fNBX65IxTMuA8BReTuC5a75ocF3e83g+wjNpH97mvG2od2R1v/a3MJwLp/ntAqWv7bDv9UjtGIFQPTvQDf2p2syRC++8F8n/HyqctVd26Rr19pmX9KQuVNznDcNGDAAAwcOROfOnSPr/+///g8LFizA22+/3STjqrfINGLECAwcOBCTJ09Gbm7unjcgmgfp6U3IEDWTKWKIRV/Sxan09r6psmTAonvCiJmbp5aBCRmkdvnpc7XHyCADBUNF1wQV07T2g0vXah5SslYUlH5skquUNl/8KRm7JoiUAQC4EoaropHcBFfRTlIJTICXIuVHMvHoB1OwL+186fuqC/NKL8Tg0rUZo59ufTAUlQZN8irOaWJfJi+mYGz+ufaOlQn1MNI//5l3nqX00uZYJJrIb7NiyN4LJdcuLQ/H5u877YZCcDxeapvkKjXuV9dG9y8sgPmRVVoqJrfDa1BaiKQ46ufHL9rjezS5lhKh/GP+1XXh/n7VN/OxB+KTUPs1HRU5xYRKkzO8fq9dpkSr9Gp4BOEjG2j8LZvhZKm5QHMhgiAIgjhwacjcqTnOm/7whz/grLPOqrX+Zz/7GW677bYmGJGi3jFhX3/9Ne644w6aVB1E9H+8XKVDpfkGSeZHCWkpcrq4kIFaYgiLLjOZJjBNK/O8lmq3VR36z1nkf8lDgSmyXy1qiYlwOWN6HdP6hRflhNqCjPTEI3+c0dfCqKys58DfZx3ydjMxr3TPopQepZQtlTCbaJi+/qbpYYXBpXcUY+kdxaEQ5UowIQPhxvc1umFu1By8oTCRZX1G0dH7XwJ9no3uX5oIhU4vmsp/7yTzXocSNIO22vumqsOptv7/QLg9AFz9XHmt/fr0ebYczBOX/LEKE3BylX8TtwGjRqXtMaHS+a5bXI5rl5Yrs3KC0BCSNfhB7BtoLkQQBEEQBy6HyryJMYadO3fWWr9jxw64rpthi/1DvUWmnj174sMPP9wXYyGagP5PlNcSjVSEEGpFq0j9wbWIkGzik586JcPtRVrsnGRhufdaeFFN6fuSnu9RJDLHF5X8ymBCRsUkbX9qHAySMzChInRuH/EGmCth1IjAl4kJQJoqRUxaPBBl9JS5ORN7RdPv0vbTWMwrvVCJTSwUvNSOEIpFQhNp9PW+wKVFdfmCmS9yqJWZx61S5tRK7vjbeGIT1Huzt5FMfhRTUCFPj2LyhR6OIM3Pvyagpe5d9Xwozvy6TzHcHMDJUw9pKXHHTShRKcie8CKNfMNv/1pxEyoaSsTC/ToJb//apya3laB07bJy9F1Yjj7PlOOaleUwahAIcWaNOtdmEohVqPeA2+G4zWrArFTn1m/b5xkSmogQ31egIQ9i33CgzIWmTJkCxhiGDx8erJNSorS0FO3bt0dOTg66d++OP//5z003SIIgCILYzxwq86af//znmDJlSkRQcl0XU6ZMwdlnn91k46pTutyrr74aLF900UUYOXIk/vKXv+Ckk06CZUXzXy+99NLGHSGxz+g3K61MvJeCxtIjbtKjjNK2iQgeCFPjwBBU5IJE4PWTqQ9AVYfzBZGIJxRHJMKlVhtt38Hr2fbj/c8d1Yjb0hO6GJjrrUupnUnOglQ3JgEZU+LW0HFrMpqBZ0xNSz9vUtY7ZU5n3vhoZblbH1xX+1CFJtB4xxyMyfNnCvys/AgsGbZNf5+YlCp8NC0VTxiq8trykkZI89KFQH2dJqAFApSGiiJTQuXzVxXjqhfKg/VM69eNecKSJlBFDOM9gc6Nq/6kJ3ACgIwh8Alz4gAEcNWvVWU5X4RyTMByAKtKGaBLwxONqtUxODlKxBIFDEYSyvzbO0gzqSLDDNsTP71t+y4qhxujNDqCOFA40OZCGzZswPz583HyySdH1k+bNg3Tp0/HkiVL0KVLF0ycOBHFxcXYuHEjCgoKsvRGEARBEERzY9q0aTjnnHNw3HHH4ec//zkA4Le//S0qKirw5ptvNtm46iQyXX755bXWPfjgg7XWMcaaNCyLqDv9ntR+jEeiXnylCFERKV13ShNt1MYIt4UffcSw9M7MP5Jvml4WRNMoYSq6k0i0CdNEAV1gypLylRX/eFwJGCzsi7EgGsqP5ArGw9luo5ICX6MM56khldXqg27+rRMRmtLwj9c/dolwjJnO45LhPdD/cRXxJv2+vfbLhjWOALKqX3Fg+p1JSArOrR5pleHae/5KNZ4rX9QigaTX1AjHD++4A79KPzJK2w8TnlE4UxXkuA3AE5u47QltZjg+NwG4Xv/cUf24lhcx5oSRZk5CiUk8BZhJT+SMMbjx8D1jLoLKdH2eLY94QBGHHg0N4W6OYd8HMgfSXGjXrl24/vrr8fTTT2PixInBeiklZs6cibFjx+KKK64AACxduhRt2rTBM888g8GDB9d5HwVmNeKm+pC8jtc+zt2SdvjL3Anh2DVj4CPj24Nl3XT3kdSMYLnGjQp4JnczvqabBhfGQrPrfM0Uu5VVmXXIurHvUbHQIHynG5p1f+/kR7bZ4YSvdcnZHCz/747QgPXzneFx5Vih8eEPCv4b6Svb2PTzpZsst4lXBMufVbWKbPNNdYtguUgzDj9aMz7PNcLzYqRNXiymG3+b2nJ4jlqaoeGyfl70NgBgyfD9Ot+diT2hn3sAOMuevcdtiKajXWxH5HmFkwiWq5ywTK/Jw7vFUZP77J+V2fx0OllbM6530xJ0bP07sOCSYPELOyzvXsjDv48OWr87Rfi3DWQ3qidCdorwvbfTChs0BQ2ZOzXHedMJJ5yAP/7xj3jyySfxySefICcnB/369cNtt92Gli1bNtm46iQypZfmJZo/y24rjghNakF7Ij3BiUVf19Ot/E30Pvz1bkwJNUvvqP3jeMDMsiDtKhA3hIqw8f1+fPwoJiUMyMg+olFUsrZfkiZMMQFV+c3zFQID4ITHF6T8+cbW6cKZwcJ+oAy8AWDOQxdizsReGHr/WnjxPqEAp2+PaITTkAfWYu6DDYtmysT8+8MIJ19w8oUm5qZFAaVFqmUUcNLQo9uEpaKYGks886uspZuRB+8JwvHr69RGWuQcQnEpIpal9+UZy0cqJHopeXqRFInwdWl4WXVcmXdzR0UnGSnV0I2riCfmetFNdtgfT6lr3UgCEEB8hwyEOieHwc5R64wahmQLFQ3FHE9kjQFwgWtWlFNE0yGMaKDxd3OsknIgcyDNhYYNG4aLLroIF1xwQURk2rRpEzZv3owePcKI1Hg8jnPPPRfvvfdevUQmgiAIgmiuNGTu1FznTe3bt8fkyZObehgR6p14uGzZMiSTyVrrU6kUli1b1iiDIvYPy24rjjykb3asic/K/yj8g0sXIYKoFhZ9nUmZNZJG9Rv67PieTOn+Tr5AEphNa2NI94UKxiO1h29MbUvwpFApclJCWEylevEwXYx7qXKRfnUfqAxpb5GUNxluHw4m28ErQWzIA2uzn6BGIpuRdmB4LqPnNRMDZpRFqrkF10Ndo8f2wKp+xVGD7fTznSG6yV8feDQxT2BiwAtXFEMYtSO59Od+1TfJlSgkLC0yiYfr1fWnRB8/xU7EVDu/ejMTgFXpVZCrAqyd6twYNWobJw9IFQHJIiDZEkgVMiQLGZxchppWQGwX4CbUcny72h93pYrwM1Vf0gCuWV6O65aQV9OhCBl/H3g05Vxo1apV+P3vf48pU6bUem3zZhVN06ZNm8j6Nm3aBK+lk0wmUVFREXkQBEEQRHPmUJs3VVVV4W9/+xv++Mc/Rh5NRb1Fpptuugk7duyotX7nzp246aabGmVQRNOwvKQYy0uKsWxYMaTpC0xAUMbeQ49s8oUavQJbRIjIgGQs/CFvhD/slbCkRVL5ZeQN5kXOaI900tf5AogrtTF56/x9aJXqlOgUHkfwum+CHqwLF4eOU9Xoht6/NiJu7Y70yKt9ITTpUU3p+9b37+Ofl0Uje2DRyKgf003TQ4HJT23k3jllUvl6NQbP3VgcikbY83kMhKgMEWNXvlSOFy8vriUY+tcrgMDLSeqV43TvL6b9n0HkElbYp7+tkQz7N2qUx5JZ5UUw+RF1jvJscnKAVL5qlypUXk88BaQKlH+Uncdg53oRVJbqh9tQ4VRAYDBOHBqQyHTg0VRzoS+//BJ33nknVqxYgUQikbUdS68WK2WtdT5TpkxBUVFR8OjQoUOjjpkgCIIg9jeHyrzpu+++w8UXX4yCggJ07doV3bp1izyaijqly+lkm6h89dVXKCoqapRBEU2P77Vz41PlntEM1D/eD3vfQ8mNeZFAjopG8lOvJFeRUplI92gaMLMsSFdiAhCMgTsS0ggjSKTBPL8kTyxxvWvQ1dLkOAvEG+bKIAUMEqo6nE7G6CSEfkXIHtnjR7RIFgpNtSK8Mm+635h/f89aPk06C8ZkFqJ0Bj5aBq5FMAEI09NcGRij93tSRRDtjT/TNSvKQ8FGF3X0CDme4XX/uS9KeuO74uVygAMvXBqO6YpXo6bgQkubC9IFtePUiURFeZFFAgAsJQ4BSgSShnow1+tTeOlyqVA48/virhoDEwAM/29I+T+FeagquilVoMbEBHD1c+UwbLV83eLyIC3Pr8ToHwf5OB08HOyeTA2JnCksLNxzo31IU82FPvroI2zZsgWnnnpqsM51Xbzzzjt48sknsXHjRgAqoqldu3ZBmy1bttSKbvIZM2YM7r777uB5RUUFOnTogKv4WOTz/Izb1Jd+xvjwiW7Vod1Q0H2Y9Gv3sFjUq2hrMhyT7rfUPhGKfv9N5QXLui/MxsroOXgx775g+Rge9iW0e7B/r24bLP8gsSWyfZFRFSz/385jg+UPt4RCXc27oV9Su+Ivg+UddtTzJdcIfWo2VYbb6F5TupeN7nHzXXV4vADw5behD8fJnb4OlnVPp7ZxzSPH/yLz4NqdnjZmeF7ztHP0g6oVyMTzGBt5XuxOz9hO53exIeG4NK8nAIAN4gAm/f39PnZ/sLxT82fK9n1Uof2t6tc3ALS0wr+vjrHQwyyheYZViahnm47FQr+nL53M3jT/SoWfCQWaP1OViGdqTuwG3bfqz7nhzZZ/p44AANRY+/eP+VDxZBo+fDi2bduGDz74AOeddx5eeukl/Oc//8HEiRPx2GOPNdm46iwydevWDYwxMMZw/vnnwzTDTV3XxaZNm3DhhY3nMUMcGCwvUd5N/ue0ZAD3fJPcGAvK198wV/2A35tS9kHUlAEsHBWKIAMfKQvNwT1BgPnRNELb1qucJiEBLx2OCUTS/1SalGYolS4mpIkburG4RLS97rFUV+Px/fnZ5QtNukAiWXaB6eZpZVg4SkUy3Ty1DAzAwtE9MPDRsuD9VwKeL7JoqhAD+s0uh2R7UW0ubZxB2mR6Cl2GyLJaXk0ev3ytPNKWeQKRhCb6+P34j/TrKi1yLxCkvI9ANycUuMCUoCSs2n0BmsCkpd/516kbD8UiwItcYkCyBWDWKBNxbgMsBog44P+2Mau98QjVzq9kR4bhRHOhRYsWWaNsMsEYw9///ncce+yxe27cyDT1XOj888/Hp59+Gll300034fjjj8fo0aNx7LHHom3btigvLw/uYKZSKaxfvx5Tp07N2Gc8Hkc8Tj+oCIIgCKK58eabb+KVV17BT3/6U3DO0bFjRxQXF6OwsBBTpkzBRRdd1CTjqrPI5FdV+fjjj9GzZ0/k54d3kmKxGDp16oQrr7yy0QdIND2qmpYSdQQY3BgLTKV9UWlvxKUlw3tkXH/TY55BuJChIbNUEVTcBSJm33rKHlgoLHlKQsSbKF0Q2p1A5PedJi4Beykw1eMH1d7gp84NmqSimvYUwXTz1DIAoUfVwEfLgtf042QC4J5gA+lZnguA1TsBV/HcDcXo84wmCPGowKNHMqkVyCo8Balw+msZoqSkFxkUNUUPhZ+gKh0Lu/EXgtc90VMYUCbdAoAVjg9IE5HsUPiUhmofRGB56aO+0OTkKSFJxAA710u784Qyo1L1Z6TUsXLPaNy1VDthqihAEpoODg72SCYAeP755+tUBUVKid69e++HEWWmqedCBQUFOPHEEyPr8vLy0KpVq2D98OHDMXnyZHTu3BmdO3fG5MmTkZubi759++6zcREEQRDEgcShEslUWVmJ1q1VxcSWLVviu+++Q5cuXXDSSSfh97//fZONq84i0/jx4+G6Ljp27IiePXtGwrCJg5vlJcXo/0Q54FVla3Ckym4YMFNFy+jRSRxK7BAGgzBl+GNcqigl7vnbcBcqvc5Ll9NNrUMfJoRRSYb2ASJkIELoIkqwuIfPmmwCUxB1pT3PRGNWmNsdT4/dc3rcwlE9ApHJj8AJjN19ZOjHJL33wo3przd8jL/qu+fryjf3zhiFpolFusDkp8dlIt04Pt1/Seopl1pkUmACrgmNwhPBRNwbX8QDy4tMQtgfc8LzKw0E16ibA/CkekhTtTdqvL497ydheWbjjnYcfmSUUB5OTi7AbC8VkQHPXU9iU3NFZV7Wf+KzF3+O+5WOHTvinHPOQatWrfbcGMCxxx4Ly8qeIrEvaQ5zoVGjRqG6uholJSXYtm0bTj/9dJSVlaGgoKCph0YQBEEQ+4WGzJ2ay7xJ57jjjsPGjRvRqVMn/OQnP8G8efPQqVMnzJ07t0nnKPXyZDIMA0OGDMFf//rXfTUe4gBl6R375gdqv1nlykja9X4we9ElkEpUUiXgoyXSglQmrsQlPW3NF5iYm/1jIl0AUhtkEYJ49g8n3csn42tZnuupfUPvV8bfkUp1TQzzhDdpAEaNhDQB4XlipeOLe8KQUdP0veDq58prRTClvzcRjyQtzS2dINUOdYg48/eZ9rxWn56PkvCNwrX+g2tL64tpwpQf1RRUt/ONzoV6Dul5POnHL5SoxL2URaNapSwyoUzCzWoVaZgsYjBqgHiN8krzfaGklXa+iGbHwR7JtGnTpnq1/9Of/rSPRlI3DrS50Ntvvx15zhhDaWkpSktLm2Q8BEEQBNHUHCqRTMOHD8e3334LQN0I69mzJ1auXIlYLIYlS5Y02bjqbfx90kkn4d///jeOOeaYfTEe4hBj2e3FSmiSUqX4BAbO6te6/6NdciVyRFK2PJNu34RcaD+kWZpoFHjmZBMa0gUST1CpFeWyO/y+9XSs3QkbfoW3/ZQ6VxeCCnSaF5VgCIRAIBQsGOBFj8GrPCchzEY6Fk+o8SNzglPEgpfCa8Nvj7BNRHjUu2XatYDoNuGbtac3DoGgFjFEh3buZHr76Hn1zcMBT1z1zztDaOSdIUWTCe91WwlNXCqhSRoqXMuwVWU6P3LKjat1juZLds1yL7LpBopsai4c7CIToISj9DSwdB5++GHce++9+2lEu+dQmAstcx5B3FERY4dboRmzq6nWFW5oXj3ACA1/G8LI3Lvq1lCzj9JNpvVxnZj3VbD8vRsaC/9tV/Su7lY7fO2HifCD+9PKI4Nl/dgtzXAYAH63M3z/N2w5Olju2mpzsJy6JDQs/vCL0BB8cyJqXv9nMzQYNzRT78rq8ICZ9t1UlFsTLCfSDJM7tQ/3eUQiHD/XvAN2OJrx+G5+DXzlhmmsbawd2Rt6XIVJWV97x7o9HJcZGv631QzFj65ctcd9EAcu17CHgmXdWF8nKcIL7tvK8O9gV9p3VtwI/95qNINvW/tbd7UJnZt2R22rCP++OcJrX8iwryOtbcHyEUZ4TRbufDXj2Im68c9kaKjuF0gwuZOt+T7hYBaZKioqggIo119/fbC+W7du+Oyzz/C3v/0NRx99NA4//PCmGiLqfX970qRJuOeee/D666/j22+/RUVFReRBEPVl2e3FWHJXD2UmbShfGWGo6BlhAW6cqWiamPKDcuPew39uMTgJDmGy4OHGwufS8B6cRapv+VXrpKF5LgmpHlytD0SXbOzmsyjbdpn6HHr/2iCqqSlZcG8PdZ4M7zzG08J7dCNrqSLGuKM8s5gLGCmJ/o+X48Y55Zm6rxO/vqY4SGMLUuDS0tiAtMghHy9CqFaEGZeQhgS4hLAkhKkevvijIolYkP8mNZHSX9bHJLlUDyP6EKZU/kyemOVXfNMfwlJCUcY2fuSVoSKQoF2vwvCqz5mAk1CeTU6OeoABie+9SnaOEpcAZQQOKO+ma5eWo+8ir8KeAVyzshzXLC/HNSvLo35YxAFHQ8vwNpfJEgD07NkTn332WdbXp06divHjx++/Ae0BmgsRBEEQxIHLwTxvOuyww7Bli6p2+otf/ALbt28PXsvNzcUpp5zSpAIT0IBIJr9qyqWXXhqpBuOX83VdN9umtejUqRM+//zzWutLSkowe/ZsSCkxYcIEzJ8/P/AVmD17Nrp27VrfYR8SXL8g/KG48pbmF6XgG4D3f7w8SM1i3o/+oKqc9//C0ZnNwrMxuHStJ0YwT4TwQ0NCkUICYJwFQhPzDb/9CKhMolGmzyK5+9d1w3A9dQ5ARGiSrO6eTUPGr4VkwLzSvU+7SxduuOYdFJhe+/jHJ0PBBFCC041PlUOYwMpb638tPn91Ma56oTwYT2RfCMfiR/YE0UlaZiVztYg2xpTIJJkXMRSGOklDhp0yGYkgCo5Vj1JLi25LjziSTAIuC6rF6UgTQXU+uAgq1PmG6YEZueHt00/J08zB06Pr/HNuJFU0met5jnEXqD4CSGxV4pOdF/Zp1ChDcXAobyioCCe/r7r4YxFEY/Lzn/8cxcXF+N///d/AwNLnkUcewf3334+VK1c20ehq05hzIYIgCIIgiLqSn5+PrVu3onXr1nj77bdh2/aeN9rP1Ftkeuuttxpt5xs2bIhMxP70pz+huLgYV199NQBg2rRpmD59OpYsWYIuXbpg4sSJKC4uxsaNG8nAMgMrbylG34Xqh/n1C8qbpdAEAEvvDMd90/QyLL67foJSJnTxZcj4tYF4BYRCT5BN50UwyXRBIR1NYMnuLI1QpNLEpWC/QbvaqXNMKtGpLmLT3AmN5+mkhDwJLuBFNXnrRQa/IuktCqlStqRKXZQGC72HGsjzVxaHRt8aEbGLhaJNkFImtXFKAKbXVlPPlHgko8bmTEvHzCAmRdCinILnfmQVADfm+VoJLb/PRSiCMYRm9H7qnAjHL0z1nDtKBAJTkUzME4kiQ/E+Ql0LECaDnQvEdqp0ObNKHWuqUKXNCS9qSsSUsXignxrhvsm/6cDjUEiXW7FiBS655BL06NED69evR1FREQDgsccew3333Yfly5cHc4MDgcacCxEEQRAE0bgczOlyF1xwAc477/+z991xVlR3+885M7fsLrs0BdTwIhpTLElsMWoiogIiK7bYY4nEEntskddYoyAksbwmtqgENfZYKFLWhhpLFDR5fZNofkRFDViB7ffemfP9/XHqzJ0td1nKyjyfz3Lnzpw2lTnPfb7PdzS++c1vAgAOOeQQZLPZxLLPPPPMuhyaQcUk06hRo3qt80033TTy/dprr8XWW2+NUaNGgYhwww034JJLLsGhhx4KAJg5cyaGDh2K++67D6eeemqvjeNLBWeye8ydDbhvUt8kmjSSCKZJ0xaqECey4VudhKYBwG2Xy+xqp14xX3kJReswMKsqQqw9l3hIWq+XWaysXk8J5d0iLKZqihRiEbJJY21lpfvJtQuhM8gBijBiSoFDltDQ49ZeVsbrSCttHA+hY2+XRNEfT678WvzTobbOobMkgfroxDE4ZI5cFhyAX64YMmP0NCnlMHv6mnHXq+shnpWujFzSpydOxDgk4hNjxmLiUwsBAkTWnk8WArzIrEk4h/Eh09sBIHQIMwCGrOMl2UeYsQoore4jDpRqlbIrA4h2qVxigaznFWVZT7Wj1VJBtfxOXIbnPXTUGBz+YAOOeKABIOCho/v28+PLAiIG6sGLT0/qrC/4vo9HH30UY8aMQX19PRoaGnDrrbfi4osvxsyZM3HUUUet7yFG0JvvQilSpEiRIkWK3kVP3p36ynvTvffei5kzZ2Lp0qVYtGgRtttuO1RXV6/vYUVQMckEAKtWrcKdd96Jf/zjH2CMYdttt8VJJ51kfnnsCYrFIu69916cd955YIzh3//+N1asWIGxYy3JkMvlMGrUKLz00ksbDcl07B0NIAZDFmlPlftOKp/8Ha22GcWMs+7+hPKJdbtRdl3gxOsXgoeWQDKm3wR4AsYXyGQ868g7KZbFrUyk0R3z7Q4ULYnPITfUzCUKYgRGp23Ex6cz5jk8yWmXyf1ZW2STG9IX4Wd8Z1+U6brxudLhXJwB3KpmZGV5jelr68h7GvDgcZVdZ49OtOXjx/LRiWNw8JMNZcox8sionVjATHY38uVOGFWUUiC5htwAbCgdEq6vyEECEMpGJj69ELP2i5KjE59aCBYwE9onOOz1rfvVxKcz/jCryKcQxjvKKwIoySIiI8khfey9oiSNiv3lumyjLBNUAblV0sfJa5dhdH6b/HP8N3H4Qw2R/g9/qAEPH7H+nwcbOwRYxWl4db2+hKqqKsydOxejRo3CzjvvjHfeeQczZszAMcccs76Hloi18S60IWHTbCPyWWmQu9IxyM45rP4W2ZVmeTZdZJabg3ykraP5VWtljK1h8i+3ofO//SCvxSyPrP4sUm5FwZoOf1yy522LnN2vYf5qs1x0/4MAsGO/ZWZ5+5qPzLJrkL1d1pqAPzPw62b56c+/GWnr3yutwfaqRjtZCAv2Ie1l7S89je5/So6HNwAMrGo1y77z61DGMRQvOfsSP44Zp45rrPxF0A+V4m/5SWZ5r/Y77YYNL7ojRS/jUEwxy0/yC81yc2jN7IdWW2P6bOwXwzqvzVm2RvftZO8J1+xbxN7yPcdDYZVjAh46L9/VsKbzqdn3muH/8j82y7mSfZ7p50Z7sG5v+p68O/WV96aqqiqcdtppAIDXX38d06ZNw4ABA9bvoGKoODDi9ddfx9Zbb43rr78eX3zxBT777DNcd9112HrrrbFkyZIeD+Txxx/HqlWrcOKJJwIAVqyQ/ykPHTo0Um7o0KFmWxIKhcKXyoBTPwePuUua9nZkDWTgqC+6G6l09IwGW28DuLdOvGGhQy5FiQ4N15TZriRLOqnv5lNtK/vTbVOUTOgoM5n71xEiBEhSuYQTUwlxviYhaF3hjovHRgi35OOsPzVBp1U50Z3Q5+6Pp4zBH08ZEyEvKyWYEuGEuR00fyEeP2AMyHcMuTnhiXFjjWJI5AiUkcbfZoe4IpUcksy0zaksrDLyp8y/zfExf53L6siXn9rImziiT2L3+ombhjukHYMkqnTfZhlyn3hg1UqaTCIOlPrJbV67UlcFsu5DR42R7Qaw5ukAfvhwagq+vrExGH/PmjULs2bNwqJFi/DTn/4US5cuxSGHHIK6ujqzbdasDWcCsLbehVKkSJEiRYoUa44v+3sTAJRKJbz//vv4z3/+s76HUoaKlUw/+9nPMHHiRPz+97+H78vqQRDgJz/5Cc4991w8//zzPRrInXfeifHjx2PzzTePrGcxhYk21ewIU6dOxZVXXtmjMWwIOOau2ISOOZwEA+7/sZ2cH/0HqXJ64IQxOPoPDdbjRZXtNuJhYOsZxBgYk5m/BGxok07xbsupMDdQdHcV+ZFIFhE6VBW5BFWibxIgCRhHXeT2F69rV8QOr1bOdEKeRVc6/allXe+0y+ZXrGY65ZcLZFMc+P0l48q233HxWEyattDsS3xM5CiUXCNqRsqXCYA2mL73VOUTpvbZvX7XBI9PSG7niXFSQTSxYWF0A1fngBFm7VO+zwBw4LMLoisYMHvvsXY9A2bvXV73wOfU8fTKb6IDn12A2aPHyax2WabITsi4NQJ4iVmCS1/jses8qFEhbkr5xEIYAhaQht8io86Jp1RSBVmOOAAhlUwiI+v4rZJ0IibXsxAI88AR9zVIHy73/CoC64ePNOCRH6aKpvWFjSFc7uCDDy5b98gjj+CRRx4x3zckQ+219S6UIkWKFClSpFhzfJnD5TQymQwKhUKn3Mj6QsUk0+uvvx55qQKkl8JFF12EXXbZpUeDeP/99/HUU0/h0UcfNeuGDRsGQCqaNttsM7P+k08+KVM3uZg8eTLOO+88872xsRHDhw/v0bjWBEfPUGFqnUyqj44TSklQE3OtNtLEEgBDKh010zFHZlHiggk5YTzmrobEEDsAuP/EMThqZoMhc1zyysVRM+14WWi7tGFSsv6DP1qzyejMc8ZYNRPTShMGiAQiSE3a42RNJBudJkGEHa8BOeVZdJ0+lpaQYtFPRNcneStFjKRV2xQ7R5HxuGSSs+6WX0oiyc0+1xOccpUlUpgATp4iv//+v6PkiZu9b9L0hWVhXInhXZqY08obtSs61PPoP8jr58h7G9b4GukSilw5aMHCKAHJmPRL4uSQY44SCeVE0uzR8nv98/NR//x8lFVUX+fE6mnyCYAhtg58doEam2Qew5wKA1XXMKmLg4hJkkipj8iD8WxiWk3O5DnkRfmnxxHmEAlX5KGs67cAXMgQPGI2tM4ryjKlfpBhecrXCSSz/B32aKpkSrH2IYToutAGhLXxLpQiRYoUKVKkSFEJzjrrLEybNg133HFH5J2kM7hcSXfxi1/8AoMGDeq6oELFJFNdXR2WLVuGb3zjG5H1H3zwQY8zvs2YMQNDhgzBhAkTzLqRI0di2LBhaGhowI477ghA+jYtWrQI06ZN67CtXC6HXC5Xtv74R5+Fn81HJsM6TfeRf5STqAeP7fnE96iZDRFS5v4fS3XR0X+QPjFxssmEqMXhTtqdduKp0iMhNbDly1QzsKTG0X9owP0ndkwcuRmz4gQT4MypQzlZNRNjJifDAnJS2xO/nTiIMYCTJYoAxEPazCfTh80x746RRp1FMFH8GEbG4X7RnSazxUl9uPWNj1RHBJPq45arx+Onv5iX2IdLNunl7sIlmLqDSdMWAgy486KxmDR9oeFTiAE8lIoq4rAZyRyySROEx/6+wRp+a0JU2UAc8UCDDNFai9DZ41xlmhwmA3OIJg1iQP2iBQAjzNkrenzd7/WLtLop+cIyBFOs/dmjx2HiMwvUtc2i2eZItid9o0iaewsGrpRLJpTPfWozSSrxwO4reQBCSzDxoiSmRFZ2F+aUP1OVzEIXVKvtnry0Gck6ImO7cQ3YU6x7bAzZ5foa1sa7UIoUKVKkSJGid/Blzi7n4tVXX8XTTz+NhQsXYocddkBNTU1kuyvi0bjhhhuw++67d5iRLo4XX3wRZ5555tolmY488khMmjQJv/71r7HHHnuAMYYXX3wRF154IY4++uhKm4MQAjNmzMAJJ5wQYd8YYzj33HMxZcoUbLPNNthmm20wZcoUVFdX98gElJcUN+AQCkfcp4ger5OK3cCR9zTgwRPGGHLlqLsVceMqPRwcNbPBClbiapkYjrq7wfi1dHrdq74iKqYYEcNCaSQeZhwSyY36UssPHB+dUB55T4NtQyiCSZM7WtQRAn5JTnAFV2ooXt5WdzHzHFnvx9ctVGFOALjKzMWsCTjTKeLd/RV2Qm78lhxy0UWnxzROTplIsISG4j5GKqQtQnDo6ywe/oboNaAJpluuHm++x9cBPSOaIvvhhFeePGWB6f+OyVFFzqTpC3HnRVEj65N+tdDul6NaKvP2IpnlkBgivkP63vvhw/L6fuSwXiYxmCLBPADCGZ/jaQQhiSbhaaJMX0BdNz9nVHLIHSAVT+AoI6kART4xq46a+MwCkLqGJamEyHXjHmOj7NPnTR13xoFQPTp1KB1gPZpEBgj7yW1eUXkxCevZpMnPTLMKqQtV+J0niUDmA4c92pASTesRX/ZwuVmzZmH8+PHIZDJdFwbw5JNPYvTo0aiqquq68FpCb78LbYhoC3MQoTwnrhF0nlvzVteAVzgGvHHcK65IXO++0BecLAT9PGvGy2NkvlvONa/2nHLuetecfIf8B5G22vvZa25FMMAsfxHYl/QMs2bE7r4DQA234xzsGIyP8JvMcpMzlm/nrVF4/yHWnBsAnspsZ5b//rlV7BcCu7+rP7XG298abo3G8150XO73wRk7Lte03T1GtY6pMgD0c74P9pqdctaIeSn9yCxv3XovOsK3XLPvFBstDhC/MsuPeJeY5Wrf3kPxZ0h/394jw7zVZjnv3JMtsPfwwKbHO+x/iw7Wu2bVKdYM7rPSc+ZK1ep5zr0OUkGvJWwM4XIAMGDAABx22GEV13vssccwZMiQbpXtyY9nFZNMv/71r8EYw/HHH48gkBdLJpPBT3/6U1x77bUVD+Cpp57CsmXLcNJJJ5Vtu+iii9DW1obTTz8dK1euxG677YaFCxf2aEd5EWB6IqYIh1BNsLQHyQ8fbsAjh48xn92FUe1wpYpyn5GKjDnyHifUTJEzxqS3O53EQrx0piljVqxIJOPp4jYq7CRVK5GOucuZ+CeQYG6fmlTSfbrjcDPAabLBC2yIT5nHlKqnQ6i6wozzLLlx0q8XKgLJEkvEyU7EzTFhMXLJpo0vC2NDlAjS40tEAmFYVoRFM75FwtvcEDgq7yTuA6WJpSQSskfkkulb9afDB2Nk6E+uXYg7Lh4bCZkra8J4HGlSDRCeDR1zDbTNfgkACUbXcYLp0Fny2nzswJ6TGrP2kYohImbIZRMSpwgaMLIkLyd7blW5+j/LczdnzwqPtTqe9c/PLyOatJLqwOcWYPbe4yL+UBOfWQA9CEuOWeKLhTKEzhxTh+iNnEtVnlQ7OiSOaWNwX5l/F6WqKcxJnyZdN8zDZBE0Xk8ADntMnpdHD07JpnUN6qGSqa+8LB1yyCFYsWIFNt10026VP+qoo/Dmm29iq622Wssj6xi9/S6UIkWKFClSpOg99OTdqa+8N7mYMWNGj+pUkgn3tttu69SuKAkVk0zZbBY33ngjpk6diqVLl4KI8NWvfhXV1dVdV07A2LFjQQkTbkCqma644gpcccUVPWo70pYmIDybspuX7GROT3p/+EgHYWwdwA35efDYMTjivoaYBwzKyAk9OX/wR2Nw5L0d+J3oenrZRQLBBNiJv1X52PqGUHIIGRCMt1InXUm1g6rDYCerbvr1CHHBJPkkVBkmZCgOAHOcj/293G8TStUN3HVBx6SHi1N+ucCGz2lTcLODrIzg6ZRgYrF1FD1GWrVklh2cdtn85EspwXepjOhKGhsk8eSqmbqDU6+YL/us4LqeNG1hpySTG1opry8WWQ9YcsKQO5oIVX5BOntaRyqZg+c2dGjw3R0QA5hHcmxJFzjpKwT2BDgKLF2+/qV5mLNHZce8s2NNLFkJZYix0B5LrTTSIgJzv8fIJk0UmuEb1Zy991kI41UV5uUflBF4qZ99NvKSJP4OfbwhogrckJIDbGxw+PGK6/UFEBFOPPHExFD3JLS3t3ddaC2jt9+FUqRIkSJFihS9h568O/WV96Y1xQknnNCtch999BG22GKLHkWRVUwyaVRXV2OHHXboafV1jjAPUJWcULF2RTSpSVqYt5M3PSE+7DFL/vzpkOSJ7g8flv4yhz+kyhJk6J2rJHIIprgi5Yj7oqqniAGxVlvEJ8eqD6Emi0yLdXhsXusSUK5Cxm1Tw1EnEex2I+zQhsOuWqlgC5DeZ008qeNoVNmK8GIE6RXDbN0f3SY9qxgB9/y0a0LhpF8txF0Xdk423X7puET/IUPkMEMtJGaCK4NLqMAhLM3kmwyJc+uVVrnSUda3n146P/LU64pc6g6prhVTcYXTaZfPNwyh8axy4Cpf5Ccz5ycpTC4ypji55JBKJoROl4v1x4S8Bx85bAwOe6wBhz4eUwAqHDxvIR4f3z1yMXGcHNL/yKzopIx7bBjsSegmOVf/0jwjVepI/eSSS9rXKR6SyZTKSmiVFZjxaTL7QEyalzueTUDsHte7xJXPuCKeeAnwWmGeEUG1XM42SvIvzKtnW1YqmdZEUZaidyDAwCphiZ16fQHdfdnROPbYY1FXV7eWRlMZ+tq7UIoUKVKkSLExoCfvTn3lvcnFyJEjO80u9+9//ztx/TnnnIMbb7yxw3offfQRRo8ejXfeeadH46qYZGppacG1116Lp59+Gp988klZRpiOdmR9g7ic1AbVMr03AJu5SZEjrtGtS+64hFNkm5q0PXLoGKmAUtviaiITkqeqPXTUGBzxQEOEtHDDzTQ0qWONr2EJD8jJqNnkOXUoWtYluVwY0ojHtrPYfsT61mbDet/ix0vX12orAHYirIk4px/d9/G/tYST/KTYd/k3aZpNT6/VNidPWVCWIc3dp8RQuW7Q1S4xaHg+znDzNZ2HUJ122Xww4YTycZshziWYXJPvyFh1X8yW6xSuz5O7mgG3XbE/Tr3SId3ixRgSiSxiMkRRL884f2ysDrNkph4ri15PkUPskk5KyXTYYw340yFjcOgT9h6LhOQTw0HzpQH5E+MqJJsiqqVOiulx6vKKlLI+U938XUMRU3N2757qac6ocah/fr7W2pkmZu07Vno36WvPI3UdMnsPZey94T7DYgnv7LWr1ISMFMGujr9jyYHCQKVkUl5NndirpEjRq+iJ1Ht9o6++C6VIkSJFihQpvjw499xzI99LpRLeeOMNzJ8/HxdeeGGH9e6++24MHjwYl112Wdm2//znPxg9ejSGDRvW43FVTDL95Cc/waJFi3Dcccdhs80265Q525AgMkpkxJW5LcmJlMhAep9ovybtL6QmXxEiSCO2y4c9JlUY2hwbzqRV9+NO4g9/sMFOuGH5m3j2uI6mtq6/Utz0umx8McIiUSHDyssmfncGG8nW5WbIUuu4k0lN+0+5JEqkb4f0iRBMSd0zSzYB1j8oiWCqBCZDmt5Hp794/535IZ122Xw1Por4ZjFBxqg7Thi5Bt9xuGVPv2Se7L+CcLnbrrBjJQbcftk4nPLLDrLMdXYvlx0HuWLm2WMkOWiUTQnHzKkfv8ZdlSAlqeycRiY2LMSsMd0jmnR2N/c6Y9E5YOTajKyM1OsmwQR0m1wqg+rD9W+avfc4QzSZ8RjDewYS6tbRCixi5viRenZw69NrfLB0PUN8e7BG32qfw6xz3XZ/91OsRXzZjb/7Ivrqu1Al2K7qQ1RXl2dGaQqt4foXoTXIdq2nt8itjNRpFTaDjWsi7jlS6lZhwyVdU2p3GYiagm+SsQbbblsuWpx2h/tR49m6pllm2bU/XdnvYLPcRPnEtoCo8XctTw7jHOa5D1Jb5rveski5pv72uH6n1hqU5xyz8cJX7a+h1W7fMePuTwPrXeoe+00dQ3J3vIMcc28gul+h84uDeywG8WidFCm6i4G+NaNf6dsQ4xXt/SPlCs6v/5+E9preMvOFWa5rnIU1gWtmn6JrhHXRd9288zwf4JyjmvyHZrlRyGdba8Z5MV0H2FiMv88555zE9b/73e/w+uuvd1hv1qxZ2H///TF48GCcccYZZv3y5csxevRobLrpppg3LznbeXdQMck0b948zJ07F3vuuWePO10fMOFNrPxXevJUJqbYJNeEnojoughR45omu+8RalloLxSnrhsuVmbYGxm0nTDqMDQ3pC8yVmXwa4inmErKTPI10aP7dcoZXxfhlFf/sFh/wvGKMZmvdD9Mbje75KwHQYb5ASY7Vtlua8NuZ/xmPxDbdyL8ZKokFNysaLdfpkLmOJM7zeXOStUK2Wacc2JNoKPjSSJ1IobesbG7BFzk3dghzpIyw3VGHv30F/PKFUjOtq6Ip9sud47NpeNw8jULogom11fKucY68sHS2f8A576KhcgZryB3vVLOxVV7Rg2VYEQvx9fp7pUXD5jdLYJUJwlm1EaSlCH73RnH3O+Nx4RXn+xx35UgKQNd/fPzwQSLKJJcsomBAK2M1ISTkPeMfFYw87wjDsBToavqnhcZgHJyv1gA45NFGduPyBKYAB4bP9aELK5p6GKKnkMQA+vBi09fTMXbV9BX34VSpEiRIkWKjQE9eXf6Mr03jR8/HpMnT+5QLf6DH/wADz30EA477DAMGjQIRx99NFasWIHRo0dj0KBBWLBgAWpqahLrdgcVk0wDBw7EoEGDetzh+kJYBfhMeRkx+wu+GxoiQ1Nk1iXzK79DuphwFIc4iJBXAEw4i0teaBIGDjfi+KZoDxU3XTkQXY70GQ9DAqQaS3sjxdYbUsYdl6PaiYePmRA9VY+5A3cICH28tCpC1+UBjKIiQlgxOel396+z0LUIwRQrHyf7GMmQOQBG1XT7ZeNkmJjyYLrtyv1x2uXzceuVlpD56aXzcfPV++P0SyRTe/M1XatRjKdS0i/XrNz3yIDIEEJMUEXKpM7KVGoEnkQw3XHxWEyabkPjuvK9AoDjf9cQuRYi4XL6ftDeYcrs2xBvDtEqx6AISx/l8hmHuJr49ELM2rfzsdU/Px/cGESplcrDSC9qk2/STCPsTTXh1SfN2OZ+94Auj8PaAKmxzh61P+oXLYiQTfGQ2vIQRVLPN2b2SbhKTdh7CyqM2L0neQDwVgbygUNmNwCeDFlkAA5+sgGPH5B6NK1rEKFnxt+pEm2toa++C6VIkSJFihQbA3ry7vRlem965JFHunxPmTBhAu666y6cdNJJKBQKmDZtGurq6rBgwQL069dvjfqvmGT65S9/icsuuwwzZ87sU1lUiANh3o09cQig0BJNENJvCDEShphUComMQyzF2jeEjJ6zuoobXl7PJWBMG7DrXMVTGckTh9uXQISwis/ZDUFDCeti0MfEGZYdjwq/MR5LipAz4XLOsUtUgEEqKYxpeWc3dhIZxiAN3YgS9wmIKniAqDG3qybqFrmkFUMdEUyR8SaxZsz0qw9mpQRRl2NMUEideuUC3Ha5EyaXoJrrMptcR3DIJcSvV33eOzlUhz7RgEcPGmNUg9JTTJ7MiHG4IcS68fQnBlI+Rka95GyTJGuMoeQAdEhDDwmmCX95EiBg7m6VE1P1L87HnO/L8zZnr/1R/8L8sms5SdlkWCaXSObONuZU1mBOdWHJdDgeayIDozoDFGGlyLmDFiys3B8rxRohDZfb8NBX34VSpEiRIkWKjQEbS7jcjjvuGAnZJyKsWLECn376KW6++eYu6x9zzDFYtWoVJk2ahJ122gkNDQ29klylYpLpN7/5DZYuXYqhQ4diyy23RCaTiWxfsmTJGg9qbUBkCDBDpciHa9JNHgAhJ6IsVGqnAmzmrDi55BJC3HILLiGizbgNEaX6i7TVwTVtyBOHqEkKl9NfI3Nwpy93P+MhSWYfOBKJGmMGTE69OOlFdpyANRk2dWIEk953oUN0HEIKYGCCIlGIHXlOEQAwhjt/PhY/mbogchhPuWoBbr9MkkynXiG9km69cn/jm9Qduvr0S+YZAso16bYnuoKHUUJ/3Ql1qwRJflEu0VYWlulkkzvpVwsjpNGM8zomEo67ucGehyTi0yWI3OvNJWAVDpkj23LVepRUnxFm7RMlDV3vJZ25zXh2xdRLhlxySU9NxAg5OMYVYdkD0+u53z1AEk3dQP1L+jpSB4JJosmAAXN+oM4lI8welRBWt0h5NmlDex1ip+4n4atnmL5UncyP8fMhx6I+1PEWPsFvY2CBLVtSP2ocPLcBlCE8MXYsDpq/EE/sn5JOaxPrgmSaOnUqHn30Ufzzn/9EVVUV9thjD0ybNg1f//rXTZmOfIemT59uzCX33ntvLFq0KLL9yCOPxAMPPFDx+Nvb25HP57suuB7QV9+FKsFQrxE1nnwYtpPdvxLZV0cvtP+vZXjRLNfyqM+JG4LgejJt6jea5SZhPYnaRfR4unD9h77VfqdZLtYlE/ztznhrWNSTqcWp43qLwPGd+q+Wyq/dj2sPNMtc2GNUcv4TrmGlSJ29q99JLFftGOyVnOPY4pyTpphXVJ4VnTp2/wd4LU6Z6LFw4cE9r7bcwMbKj0WKFHHsG9xgl51b/W+1kyLlnlv1DbP8laz1YXLv6SqsGXpyf2/MeLMwPPJ9n+p3zfJwZj3fvgjtM0n7v7X4yb55awsbC8l08MEHR75zzrHpppti7733xje+8Y3kSignpzKZDFatWoXRo0dHyvX0faZikim+I30GHoG88km+CT0jJgUqAmCQqcF1BiaRk4obkZWTNpBUNcmJmFwvJ8kUnbBpxZQzyWNCEyPxgcTWxcLMXI+bOFmluzOEjCK7Ij5JMVJLjyFO3uh68XtMh+LFTbvj2eWEU84oI3Q9DqsY0/umiS81bk32sZCpumQVXw4ZJRQhcddFdnLrejIBMAQTEDXAvvWqjo27f/qLeea43jxlPG6+ZnwklE4TTYzk97LMcNoLJ35sY3CPb1eG32uKU69cUEYsyO+xk+yQRe74TrixoZws4uXlzHeXdHJITR0mFzFY1+fU1KXE9joKkUs6zkbxE28rIUyTCRZVNakG5+zaszC57qif6l/uwETPPZZqSPUvStVb/QuSgJrzg/1R//x8zNlrf5mdbtECR7VIYGBR3zWHRLJKSXUTu0Sx07WeT/ASg1eQz76wCgiqCZlmBpFVoY8cOGjhQpAniUKRJXM+U9Kp72HRokU444wzsOuuuyIIAlxyySUYO3Ys/v73v5uY/OXLl0fqzJs3D5MmTcJhhx0WWX/yySfjqquuMt+rqro/DRBC4JprrsGtt96Kjz/+GO+88w622morXHrppdhyyy0xadKkrhtZB+iz70IpUqRIkSJFii8NLr/88h7Vi7/HHHTQQb0wGouKSabu7sj999+PiRMnrpFhVG+CkCw6MZMrRlYJoEJsCLAhI54lWtywOUCTIjZrnQ2VI8fbiJkJdpkPkTspZ87k0Jnwu6F0EbNwcr4zh2iCnaC7CqPoTjurrKCi3PNFt+0QVZHxEiIqrjiZYdrwYtsdRPyXGKxZtDon3GHTDElHMD5CmpAyy2adbDMeNheHVhTdcrUklZIIIlfVZMgnfdwCAnnMqro67S1G1nUynt5AhGBK2uZ86nP8h585JAGLjrUjYklfC+ZagbOfmnzi5eWMn5jTuHTRqgDqhNU/Px88dO5jZ1tETec5A3BVPYmGZ72LrghIACZ0DlDE0gvzzWfkXDKSDzaXaFIEdyS8LpY1z6gj7aao6jEAvAIQVAOcy+9+i6ogAMoTWAg8MW4sDpnTYAn2tXzsNlasC+Pv+fOjyQxmzJiBIUOGYPHixdhrr70AoCyV7RNPPIHRo0djq622iqyvrq7ucdrbq6++GjNnzsT06dNx8sknm/U77LADrr/++g2GZOqr70IpUqRIkSLFxoAvu/G3EAJCCPi+pXM+/vhj3HrrrWhpacHEiRPx/e9/v8P6PSWnuouKSabu4tRTT8Vuu+1W9vK5vsADZyKWcWeb+k+yA4wBIg+rwhEASsxMgrVqyfg7KUJK5CWzQa5CwJ10CSvXMCojN8MWt6yDnIhTdDJKdkYofDuBZkKFs4W2P1NHT+rj6wFjNp5IGDhKKVOFIE2Z9T45ihVSZV1VE6n9YDxaRW83E9qEunocTB8LACFnynidDLHGysrrwVjz746gs8PprFyMAaf/9zw1FtnoGT9/EuTLUWtS6fRL5uEWRTQRU1kJGUBe/EAmdBor0pGJuV7nKpzcUD1NPrkZ7iLnUZNCjOG2y8fJTHu/XGDN2dW2Oy62RNJJv7Km38SAE29YiD+cOxYn/E9D2TViros4canJRr2NWcUZAHkvuRkc9fXjXqPGt4xZ5Z9PmPjMgrJQOT0YTWLVL1pg7wtCzHcp2q8mlM3YNYkrGBik+Tfj6LGiqUsYNjiZlal/aR7m7DHe+jT9YH/p2/SDqApvzl5S2aS9pgB9/OWzjIhFlY/Q15s9GIZodMgmxlUoqwJ5QFAF+G2AVwR4yOC1A4c/2ABUA167fEYKDwAnHPpEA4QPPD4hNQnvDayp8XdjY2NkfS6XQy6XS6hhsXr1agDo0DTy448/xty5czFz5syybX/84x9x7733YujQoRg/fjwuv/xy1NbWJrRSjrvvvhu333479t13X5x22mlm/be+9S3885//7FYbGxI2tHehFClSpEiRYmPAl934e9KkSchkMrj99tsBAE1NTdh1113R3t6OzTbbDNdffz2eeOIJHHDA+klitNZIJtrAzhJxAD7JSWRJGgPDzcamvFhIkU08hCFziJE0vuUk039zBhbISXBQTVG/Jq2m0RM6Qw7pvsioAYAYOcDLj5ndTpHJMEEpr7S3kRebrzoCDbf7iL+T25FrQq4JJJckY7FPpy3dh2uW7o7DDN8ZE1wVmCaZzLJWXTAzcDMp1gSTLhuSIaxc/5lTr5hvysh6ZPojDvCiPU+u11XEnJwBLFCE0+R5YAB+N9WGz+mwvUg/Tt3IcYodFrsxqiAxyqgYAegSTi65lNSe/JQLp1y1wJKNelzKh2nS9IU2vE2HtKnvfzhXElAzzx6D43/bEBm8JobKTOXdDGfufnBNxNn2XaVe5BzEfMGMMixgOPDZBZg9Oko0zdlLki71L8y3RKWqGCGa3GuVIfFek/eXvk4kGTzhL0+CccKcXSYkHe2KMeEvMnOdDGzrBAnDc9VNESi2NfIsISZ3WbgnTn2GzGaijDyv5LPKEM2Q13aYk2W9gizCSwCprJw8AHIrZZ3iQMBvBcCYvBez0ruJCeCxA1OyaU0gX5Qq/3VNPzaHD496KFx++eW44oorOqlHOO+88/D9738f22+/fWKZmTNnora2Foceemhk/bHHHouRI0di2LBheOuttzB58mT89a9/RUNDQ7fG/NFHH+GrX/1q2XohBEqlUkKNDRsb2rtQihQpUqRIsTGgJ+9Ofem/7D//+c/47W9/a77ffffdCIIA//rXv9C/f3/8/Oc/x69+9atEkmmnnXbC008/jYEDB3arr+9///t48MEHscUWW3R7fGuNZNrQIHwCZwB8AnH5B2I2hI4YEAJu2Jxcr+rnFEOiCCevaMPjSNcHmUmyoxOQ9QRzQvMSBuhM9KMDdybdjvJJKoTIhgTp4TqZ3lylELkZ55wqhljhsXV6wh5Xq7jj1eWcYxUJ0bOHJaI6siGE0PNa2b9SwbBQTVIFSUJPq5co2gZzjo1ddkgn4SwnzLXNrrjjcp4uZh8ymsmLsUUsti8agsB4Nx9qTt9JiiFTLN5cUoY7NQ5DdlZiSu5AE0wad585BsffFJ0gRkkrWIIqPg53bICjVLLXTuS74zkWqaOu6wOfW4DZe3eiUjOcbuyAxgmm+KFR97Zbdm1g7ncPwIRXn7Rj0d2XXZTdb9OE0WkYNhn2GnCJPx3aqsldcz2r46LUT9prlhcVwaTb8YEwD3jtUtlUqpGEfKYZxrNOZCQZFWZls4fOasCjE1OiqadYU+PvDz74IJIppCsV05lnnom//e1vePHFFzssc9ddd+HYY48tM+Z2Q9y23357bLPNNthll12wZMkS7LTTTl2OebvttsMLL7yAESNGRNY//PDD2HHHHbus/2VHdwzaiQhXXnklbr/9dqxcuRK77bYbfve732G77barqK8SOEoqfaznsPhb+CvN8taZT8yya+jtGvMCwHulTRP7qOGFxOVGxwTcg4jUGeyYV1cPcJ4rq+z/U64J+GBujcLD2MN1mGdNrYvO//+fJqVhrQA1TbPN8if9rGfZYN5qlr/iRx/8TcLuZ5MzzsKqhcmd1NWbRS/2ZuOeC3e51jkWtdw1B4/ub7axe0ksUqToTbhG/gDwfvVFZvmLwIYcv8cGm+Vv9Lc/wLHVnfwIm6JXsE12ReR7NbMhCyHZZ42bWMBNUrAu8WU3/v7oo4+wzTbbmO9PP/00DjvsMPTv3x8AcMIJJ2DGjBmJdd9880389a9/7VCtnlS+UCh0XdDBmv0v2pfgkTH/Ju7OuNT2wH53J8vkE8JqAZEVEBkhuagqQqkfIczqUB3dpl02yhCj4iCQ7/xlCOQDIkvyL+OMTbfhkdlOvppoxybupA3NXbVKB2e1zHRbkySOWbVr0myMunU9k+VLNxgjrPR2t55zDNzwKN0eOX9aFQQmJ6kiIwkmJuyEF4rYYiHZUDcn9bpLKkUUQu6lUJB1I3+h+hMo++NFIRVNnMmQuoAixyACTUQJsst66O64EF22B9H56wgd0ewOMZNEMHX63HRUTCf8j31RP/53atk5R5pINV5c+jw751abfJt+XUIOzmd83C4pSPr61oSmVA/WL1pgqta/MD9KsMAdAznXl7pPOJX1hdg1LPcjenLql8zt5OBVCE1oOX/m+Km/ObtX5sc15wf723szRvy59zWg9o2TPHc+ys6hhvBUYoOMChMmeR/6bUD+M0kyeQXAa5PLxCWpVOonFU4slMSTUGF0hz7RPSVLinLQGvwBQF1dXeSvM5LprLPOwqxZs/Dss8/iK1/5SmKZF154AW+//TZ+8pOfdDn2nXbaCZlMBv/617+6ta+XX345zjzzTEybNg1CCDz66KM4+eSTMWXKFFx22WXdauPLDG3Q/sorr6ChoQFBEGDs2LFoabHEy/Tp03Hdddfht7/9LV577TUMGzYMY8aMQVNTUyctp0iRIkWKFF8erMl7U3cxdepU7LrrrqitrcWQIUNw8MEH4+233y4r949//AMTJ05E//79UVtbi+9973tYtmyZ2V4oFHDWWWdhk002QU1NDSZOnIgPP/yw077z+Tza2mwm11deeQXf+973Itubm5s7rL/vvvviO9/5Trf+3H66i41GyQROQKiUS8TsZDNg0lcJchJLmoxyjLaNUoX0BJvgtXAIHwCkR1IkdEgpSQwXoM2MyflKkGF4pgzMGExhNQHWpBQrKt8VzkBK9WEywTFpxEueVAKRB+MrRYDJ3Bbn1giSj2DC8c9JIiPcOy82MXd/ZIwYC6tyWqXjqryYQCQcT8+3w4ycyDL1JzLMtM8DsuFXHgNCKh+qISjIhgQSJOGj5/RJIUQx0kiH5xHX1wYBJQIyHOSrzHeCjGcTMUl8gctxmTZjRJOGq3Tq0ATaWa8v2+h2ipJJXZBI8tPx4IkREXJZbj/+tw1m23G3NEiSUxN85NTR9wWLEksAouFxwvYV2TfVhlHUxBVSuqy+Z9T2OLHkhteZMDnPqev26d6n5viQvVbjSicGzNmpd8LlAKVm+suTke+9An0+XGjyG7AheubY6xA7eY8xQ1JTJHw29CCvGw6EDGCBUi2pENdskySrwqw858X+8jwETkIxTRL/8E8y9PKRH47BoY83gIfAI4elCqcNAUSEs846C4899hiee+45jBw5ssOyd955J3beeWd8+9vf7rLd//u//0OpVMJmm23WrXEceOCBePDBBzFlyhQwxnDZZZdhp512wuzZszFmTHqtdGXQTkS44YYbcMkll5hQxpkzZ2Lo0KG47777cOqpp66PYadIkSJFihRfOnQnM+/SpUvx/e9/H5MmTcKVV16J/v374x//+EdECX7uuedi9uzZeOCBBzB48GCcf/75qK+vx+LFi+F5XmLf3/72t3HPPfdg6tSpeOGFF/Dxxx9jn332MduXLl2KzTffPLHuu+++W/G+dvTDY0fYeEgmPbsNISeXJQ54JL2VzCSZoqSSMuCOGBgxgvAYwpxUF7nriSF5YqszOyWwAGWmz2biZwkZs94HEDAZCsQtuQGoybeTspyF7thgiSBDcFlliSSmnO2ILccmrowAoZVNeuJP0e3mEDBLJjFCRIQTT7HOSg45pRtwVfJuWTeMENEyziG36zxF0AX2oBqfJwFj3G3IJeaQSxqcgQQBHpPkUZwoiofIxck4F7H6pg0kkEnO9si2HobDybrdL0exa4JQvq6sbLye49cEXT9+fWrSVJFVVh2oyZ+uxx3xZQohfdjig9d9JxhxmXuPlXN4vYleI5ZcmBvaXQd73ziPMorXYyqcl0efHZoYFlmC8JkkgJnMOseUqokRQTAG4QOFgUBulfzkgSSkeCDPS5iFUbkd+kSDSVbww4cb8MjhKXnQGdY0XK47OOOMM3DffffhiSeeQG1tLVaskJL4/v37o6rKMoaNjY14+OGH8Zvf/KasjaVLl+KPf/wjDjjgAGyyySb4+9//jvPPPx877rgj9txzzy7HEAQBrrnmGpx00klYtGhRt8e+MSNu0P7uu+9ixYoVGDvWhj3ncjmMGjUKL730UiLJVCgUIjL4uFF8ihQpUqRI0dewLsLlupOZ95JLLsEBBxyA6dOnm3JuMpDVq1fjzjvvxD333IP99tsPAHDvvfdi+PDheOqppzBuXLJNyKWXXooDDjgADz30EJYvX44TTzwx8oPeY4891uG7V9ySYG1grZFMI0aMQCazfmIwExEwkK8MvLXapSTX6WxuGsTV5JLpOagmJpicLIcyZI6HsKFgAOBJoipCfpA76TOSggjZQmDWiDi0FzdxyDA/7ng9GTJJ+TGpVOxSfaH7kpNNPUk2hsqKSNKfrsGvm3msjLzRxyJGJCF01CrOerPrjnJEE0w6PM+Ud42/YwSZ8XMipWLSZumO2oU536GIHhZadkD6Vqm+SrZjRhQdh/quSSbtoBXPGscDAoUEkeVmIm58hgiyb6WyMkggwgAkEk36GOr9S9pm1UCdsyBGnZQQPhlXM8ll5hAwiCmcrBqljGDSw9BqJR8RJWCECC3bIVhCF/b60+Fx5JO9TtXFxdSuR0gqza9o8kjVidzb+uIk5niJUYwcI6no4WQObW+qmHob9S/P6/j6cpf1vsaJSqj/UD1yCDqngL7nVNY4wQGuPJvCvLz2s6vl8eRK4VSqBbKrgEyrJJaCGkk2aSWcVj3pcessdeRJhVOKBCQR6t2t103ccsstAIC99947sn7GjBk48cQTzfcHHngARISjjz66rI1sNounn34aN954I5qbmzF8+HBMmDABl19+eYe/xLnwfR+/+tWvcMIJJ3R/4Bs41ua7UJJBuyYHhw4dGik7dOhQvP/++4ntTJ06FVdeeeVaGWOKFClSpEixXtCTdydVvidZeYHyH36EEJg7dy4uuugijBs3Dm+88QZGjhyJyZMn4+CDDwYALF68GKVSKfLj0Oabb47tt98eL730Uock0+jRo7F48WI0NDRg2LBhOPzwwyPbv/Od7+C73/1ut3Z7baBikumDDz4AY8xIpv7yl7/gvvvuw7bbbotTTjnFlHvrrbd6b5S9AMoJO3UigHySBI1gNqRELTO9HXKdVf2oGRqXCigItUGH5iTFPekJb9mAEsgnSJIK7moGMzsjT33VEz9j5q0IET12Lf0QkAoFTeJE2nRIq4ShlYUzkfOZBJe0cMZvxBVqDIYb0De+XkeWsNLEGGDrhJxZkoxI+TcxabKNKImWpGbiJUUeueN3990hmNzjxBRZRIyBh0IqogTAhECY54bEMeFzHrOeTR0dK5cg0UqpDsimzn2UOtjohsR15rrWSdsRpRFixFeEuIiSlWVqpjh5xJ0ycbJDE1oeRbbrsCzyZLir8VRzT6YHm0nONKivW+aMk8BUJkmmCF0dHsdcgopt2OSShiuyVGuQeOKAxGvMktKWKNXPICaYPK9OcgEiebyKAwiZRg6RBdo3kd5MfiuAaiDTJM9ZsVYSTuRJE3B9P/jNgBggyaUwB3glOWQSwNF3NeD+k1KiqQw9VDJ1/gCJFe1mSpVTTjkl8n+9i+HDh6+xAmm//fbDc889FyG2NkRsCO9CnRm0s9j/D0RUtk5j8uTJOO+888z3xsZGDB8+HP15O/px+RAPnf8wXZPooZ41knZRoCDyvSb7H7PMnedSq7AEXAtlzXI2YlYd9YJwzavbO/hP7vPQMQkWNiRhm+ynkXIfBFkkYXDzo4nre4Jax9C8P7fHxevkFbw7BsZVjXNsW3VRdWzc4FyjhtkMjVnnlzbWmBomp9jwcKCwyo+/ZSeZ5ZKTWOBT517P9Ds4Ut99jrhm/GuKxtqJZrmuaVavtdsXsGnsmd+fV5tlgTZn2T7r8soQPMejSRzWOnry7qTKV5qVF0j+4eeTTz5Bc3Mzrr32Wlx99dWYNm0a5s+fj0MPPRTPPvssRo0ahRUrViCbzZZlehs6dKj54agjbLvttth2220Tt3X0rrauUDHJdMwxx+CUU07BcccdhxUrVmDMmDHYbrvtcO+992LFihUbrDGnCa/iZH2LuFID6fcdbk20GbNkjmwAthzB1DPKHQGpoiFJXJEvzZI6JGWSYqncwro/V3LCpGm4JFckc2NUUELNNoUau94HvY+A9Y1ylUKwzUeG4q5T7Zps8M4P0q6pt+uvpOvFyR7XpNuQM2p3QJAqkhBW9aQOFVMkEKn06MKHUk8ooolsf2B2ODzSF5PKJoJqxw7MEEyGhHPOD1N9O6omRgReIoisexCjY458doUEVVO3w+Y6Aot/suj3eFnnmjDXNY8RRBStEzeSj9SNEV3GgLo7Q1f7qAksN4uhMQWP74s56c4g9f3t+izpiyVOchGMgrEvEEwTXpkHIMa3GQbX/a6RdDGyaCits5p0o/odTT33RNaSUjpsLtMCFAYAQT/IZ0UJJmFAplkSSqV+gFeU5XkJKoOkLMNLAG+VqqcjHmjAQ0elRJMLmYa3Z/X6GsaPH4/Jkyfjrbfews4772w8DTQmTpzYQc11i/X9LqQN2p9//vmIT8KwYcMASEWTK5v/5JNPytRNGt39hTZFihQpUqToK+jJu5MuX2lWXiD5hx+hsoYedNBB+NnPfgZAKoxeeukl3HrrrRg1alQnY+n4x6GOUFdXhzfffDMSjre+UDHJ9NZbbxnp1UMPPYTtt98ef/7zn7Fw4UKcdtppGyzJBEBJYpT5t5p0ki/APAIF3ITIEDkEkzOj12oZJhiE74RhCRZVUXACK3KVtYlsEy7bEpELOYizUkZCYusRA+ALwLdqDBMupFRMjCkyKFTklCJZIMpFIAbORN4Mj8mJoMkwlXRM9TBVHXfXzJxX/2kyQ5ENwlW6qEmnUTIpM2gGuS+CMePZo0kHmcVOEk88VObnXBGAQvpnaVNxImV9zMh6LXFIsiluBu4QMuSxqAG4OlYsJLCSLcMAsIA6PL5lxBBn0X5j/k8doSzcqROyML4+7plkCSBmycLYNsASTEwv6zJOW3Y/YL3JNFzCK86v6vrMIS11f+RwrdrbTJcXTHouOd5NcMuSJX3NRUkACSbJTE+AQgbmerFhwyeYJryqTMMdJjgSstpRxfg1IL+ZpAD2IoF6NpJNLKASJ4iMkAS9LxBwQv5jD8SlaslvA7zPbT9BFUC+zD4HyE8dQue3yPA6rwkmYUGpTvadEkzlWBeeTBsKfvrTnwIArrvuurJtjDGEYVi2fn1gfb0LdWXQPnLkSAwbNgwNDQ3YcccdAQDFYhGLFi3CtGnT1sqYUqRIkSJFig0Na+LJpLPxdhcd/fCzySabwPf9MrXRN7/5TUNGDRs2DMViEStXroyomT755BPsscceFY5/w/l1sWKSqVQqGTbvqaeeMr8qfuMb38Dy5ct7d3S9CQZpmq1DZDKw4VUegWUUYyRY1NoIkBNWwayCIiuAEpem4Yr0oAwkSRAouZD2ZwqZIrQcJYWrtkiYiBvSMpGpQCQrmwnr87Qqi0ChnDETAzhk9jsWMnPh8cCZfEQUEEpZ4DlSmfgYyhiO8s8I4QRIwoDDqpN8W07fC67hMwBjBA0P0XA/BtM4cwgz8gABBsZI7p/qX8/DTTid9tfS4XEBEKG5lS8RMWbUS8SYJJfUmCSpRfKPS1KLhQTKMKCkCKwOQ9nUZyckUmRbJ4RS5Huc6ImXcUgk12vJ9BEjmEwYIEXLUKTNWL8suj4eMmgILddfTFclSzgCiBCeAJKzzjmZ0+bsMT5x3ye8+qQaizpX6t6Z890DUL94LphPmLPzhk0qaZiMdO5xTZC19UQZzHRbDqR/EhkPOGOiru9FwVAcSMiuYigMIvBPGAoDgNwXgMhJlVN2tfzkRfncKdXIT5GRf2FeNs1VBEd3lW4pvrzQv/pt6Fhf70JdGbQzxnDuuediypQp2GabbbDNNttgypQpqK6uxjHHHLPWxpUiRYoUKVJsbOjqh59sNotdd90Vb7/9dmT9O++8Y8y3d955Z2QyGTQ0NOCII44AACxfvhxvvfVWxCx8bWLVqlV45JFHsHTpUlx44YUYNGgQlixZgqFDh2KLLbboUZsVk0zbbbcdbr31VkyYMAENDQ345S9/CQD4z3/+g8GDB/doEOsMHmQolp7ICKbMqxmYVjYRwBRhY6Zc7szaneByZsxszVzPk7/4gwvj4yRJG2ccLGE5zid1FGenVEoyztRyGXaskgnQ6gPS5JjTj1Z6uOsjRs0c6EhfyCKsgT0eLhcR463KCJ8IwRQjpVxFiSsoipAcijQBd5QW0G0x53grf6QODiUxlanPnHh7YrRiSZqIw4TqmbG42dLI7hf5DI7lgT1M7hhcBVNczRTLGpgUVVmGyPXEygmk2FjKyCTHw8kcjliImm0AVskERM9XrE+jhopf4xzKU8vZXnb9O2N0x262u9ehNMAmBsz9XpRsksSSvQaYInfrX5+LObtIcql+yVwAG7aCyRBMXaCrDIUdkcYdHVvjgQWZEa/+tScleS4YkBFA4KFUS+AlmV0u0wwUNpHl/WYGvwUgX6qaeLskk8KcVEV6bTAm/9qWJSWZOgCxTk5qF/VSrBWsr3eh7hi0X3TRRWhra8Ppp5+OlStXYrfddsPChQtRW1u71saVIkWKFClSbFDoybtTheW7k5n3wgsvxJFHHom99toLo0ePxvz58zF79mw899xzpuykSZNw/vnnY/DgwRg0aBAuuOAC7LDDDibbXEcolUo45ZRTcOmll2KrrbbCj370o4oUWADwt7/9Dfvttx/69++P9957DyeffDIGDRqExx57DO+//z7uvvvuitrTYFShruq5557DIYccgsbGRpxwwgm46667AAD//d//jX/+85949NHeM0vsDTQ2NqJ///74yv9cBc+vskbfOkubYEBWADkBKsmLkamMbhDMEiGhloAALGCgnABKzHo66etYe78Y82I9uy0fm5smPX4WIibEHdQHYLM/KZ8mpvdJTdx5gZtJopk7Ko8mpsLR4kSAK44wmeY0ORQy8MD2a1REGacSxeq6y+SMg+x6FsKEyDER+66UTHq8eln+UaRNGTYn1zOVIp2HZLPThVJpxFS4mzneQq6X55AZJRMASy7pED9l/u1ChtSpL5zJ7HLuOeuILNIkU4KyKYm0sQNW5EBE4WMJA5MtkMMQT66SKKpYYtEQOHe77j9GRrqqKDh13PaFh4g6Ld6/UeOpbG7ufhtPRzMGivWp7mHnHtOZ5ObuFjVA1ah/XZFJu0xA/ZK5GzSp5KL+NUkwlT2pCWX/GUYN2mOEsC6Q8B+oSygaktZhRxkH5uxqj2v963NlqKFgYO0cXhuHyBEyjQzFAQLV/+FgoTT+zn8Oc4+XaqTKyW+RxBJxIKwC/nRI3wuRa25uxu67747Vq1dX/B96d6H//xpxx6Xg1fmuK8QgWtvx/k9+uVbH2Nu46qqrOt2+oYTk97V3oUqgr7s3/z4EtbXywR0Xmmo0CftbZcb5j7EUY4x5nOBWcE17S47h4wDH7HuAY5wt20ruv8WJ6a9z6nwS9rN9IJrlcABvtXXWgYFvW129Wc6zqDl6d8y+u4uW2gPNsmsC7vbpmrm7JuLdhbsvPamfIkVPsazmKLM8mLeY5VWiKlKu6BiEC+d6H8SbzfLA5sfXwgi/XFjpGKpvk2mNbBvi2edro7DP7b+XbFKHzZVvQlOTwLe2/WStv5OsybtTpe9NHXkmxTPz3nXXXZg6dSo+/PBDfP3rX8eVV16Jgw46yGxvb2/HhRdeiPvuuw9tbW3Yd999cfPNN5cZkCdhwIABWLJkSY99mPbbbz/stNNOmD59Ompra/HXv/4VW221FV566SUcc8wxeO+993rUbsVKpr333hufffYZGhsbI3GDp5xyCqqrqzupuX7BBKTKCFDhW2qSCgJ8AgUsMvF1Q9eInIkXI6lWEZBEU5GbNrW/k56cMaU2KoM24oaa83GS9TRc6Qsh+naHGHmh/YcYpFEvcbufIYPIChnW545Dq27ULkOTY6pv43kt7PGwZAIZ1QFTE0cogstkpVIT1IhqyV3WxBKc9cL2YfZUnSLSHj9w2lDkhSSDVFlF7Mh3W9mwfp8yPj9MK40cgikUjm+WOp461k/XgyKbYoSJbEBeJFKVIUmjMkWGIq8AdOzDpMeZAEv4sCj5AzvuJFIoomxySaEYueSOM2Lc7ZJKsOsjRFTcu0ltd1VexDWpELshuD6XystKZ2zUGc00ueQiQr46x5oT5n5XEiFaqTThL08a9ZIml+pfnwsQQ/2SOZizUz02dMzZVSqI3P/HzHPFIY2i93gCwaSWXfLXbNfHXJ38iAJMPQNd9ZdRgb00D5QhhEyAPEKpP4PXLsPmsk3S8Ft40qg/6CfD51CQaiYwGS6XohuIn7NK6vUxPPbYY5HvpVIJ7777Lnzfx9Zbb73BkEx99V0oRYoUKVKk2CjQk3enCst3V6tz0kkn4aSTTupwez6fx0033YSbbrqpsgEAOOSQQ/D4449HssRWgtdeew233XZb2fotttiiy+x2naFikgmQB3Tx4sVYunQpjjnmGNTW1iKbzW7QL1aaADFKJsXHsECSCvDJbtPKCE2GcEV0GLkMWaVFXoCELKMns6TVRID0QtLGwpq0UJNkFjLj9aQn72UKJjj1kvcMmhlgnAFZNR5HzUQ5ASpx8EBl1IvPPx0iKaJcimcTcw6BJg5kHYcQM9UtW+fydu6uaJLNkEY6A6CrnGHO8dchVg4ppX12XGWRJs8in8xmljPQpt9qm/ZjcgdMRh3EbNuuGMSQOMyE2Gk1VCQkDrCKpaRtHYFF+4qjnIBBOcEV297RclylVNZH7PCUleMoU0mZ5oXy4vGY9REzdfR9BUPmMh6/KLvYL5dgeu1J07kOLdUk6pydJqB+8VxzofUVRZMmmiIwNxRFLoQeRUgZFlE9D0Em054+/ppYioxrj/GoX7QAlCHwVg6vwMCLcpvIAJkmNUaVQU6fziAvrwcdLpeic2xMxt9vvPFG2brGxkaceOKJOOSQQ9bDiDpGX3wXSpEiRYoUKTYGrInxd1/CV7/6Vfzyl7/ESy+9lJiV9+yzz+60fj6fR2NjY9n6t99+G5tuummPx1UxyfT+++9j//33x7Jly1AoFDBmzBjU1tZi+vTpaG9vx6233trjwaxVEDOZ1jQMMaEMs41HDKnvPtk6xC3B4qnsbSGzczyoLE1QE+SSClMTTJpyB3LmTSo7EwIm1TkCgOCSoFAZnACAMqoOIJVJWRGdtDtheBT3znFUIPBhsnAJPRk1rJZzONR6vW96lZUb6bFKAouyarzE9Jw00qYhdskSOySYJSn0qQiVPw85XbkslBZTMFgzcD1cNR5dXvjMhMkJqHF6kjwSUD4ykEo0KU9jcn9AIG4VaS5cHyZ3Hl4GBlAmVtnxV2KEciVTjGBKIoySEA9npA6IKjcU2WRtg3teYQi9SFkPkf0tC52DU48nrGOx7XpzqLiekJmQPp1ZDARQliA8SC8x3UY8kVQ8TI4hEmpniBhGUrHEIVV2AYu24R6kPgIdrqZVTUZxqB5CZOSX0f1zw1P1ugjiRLJD4Orybqiciwl/eRJzRx2A+hfnA0yGzYoMwIsyrLZUK9VMQbVsVxt9G6N/dEEeprDog6qk3kJdXR2uuuoq1NfX47jjjlvfwwHQh9+FUqRIkSJFio0FG8G70x133IEBAwZg8eLFWLx4cWQbY6xLkumggw7CVVddhYceesjUWbZsGS6++GIcdthhPR5XxSTTOeecg1122QV//etfI+aWhxxyCH7yk59UPICPPvoIP//5zzFv3jy0tbXha1/7Gu68807svPPOAIATTzwRM2fOjNTZbbfd8Morr1TUj/bzATHwgiQPNJHDBECBJ7PGEaSfUmD9RignrA8TIMkfPQnmkmyRJIgmcCShxUJZjqmQOsoKsBIHK0m1gM62JskoXR82nI+Y9XZSk2TmA4rSMooPxkkxr0oFkpVkFQk1BjVRp5wAa/dkf5pQAJSXE0GHw5EzuZTHTJMikFn0ItnYyH5oz6qSJHdMFjFFFnGtOFLEEDkhcMYbypkQu2E9pkfLrRk1VcTYHCqrnvJbEr6cZDMulRMAIEDgQhJM8GOstUu+IDYfjymJDBHSCcmjlVqyY0fJFG9H953Qhtt3GT8Q/57g0VTWLkMk9M+tZ9RvCebeLgEYUS3FPZx4dFxuSJ0hu9zjrI9RwMBDQOTJ3l+O6imiMPPIkExawWT3z7lIoFRAyo8JQJ8IkYvDHb+++JO83MrgMpJuzKM+/s4xNdD3fQDzrKh/7clEoskcewaQL4lcr13eg2FWqZeqARYA5ANhNfDYgWPwwz81gHjf9GJKsX6watUqrF69en0Pw6C334VSpEiRIkWKFCkqxbvvvrtG9X/961/jgAMOwJAhQ9DW1oZRo0ZhxYoV2H333XHNNdf0uN2KSaYXX3wRf/7zn5HNZiPrR4wYgY8++qiitlauXIk999wTo0ePxrx58zBkyBAsXboUAwYMiJTbf//9MWPGDPM93ne3oOfb6ld6ytrZmfAg1UKksswJZehdkp41rChVSUw4M7FQliUGSeZEyAhS5BIzWbrkJ4PXwuWyMqUGk5mWtJ0SMQCeiKhMpCkvc5RRqi4IFHJb1g0x8pSySk/UAwZWUIRZRMEl61ESw5FgEqwJgrg6QhMqvMikaXfIEOYp4vskfAILmQnDMeSD5gS0KkkTF8JuZ+46Vc8Qh7p/TTppM3RNckFtYwA8Rdb4qq0A5TN1Hpu9d0DwmLLOtiRf5TIlU3y9Oj6J62Moa98dWydkVYfrWXQ5HuYWIdsSlssIKEoo6xBflsySF60OYyWnLAslAWzLqY0M0XVIIJg62L85u8gwuTk7r7/QODeLXSVhehGCSSN+IbgXYAyJ11Nn5BRzwkoVeU0kVUuMIZFsmrPn/gCAg+ctLFephTCeavrefOSwlFyqBBtTuNz//M//RL4TEZYvX4577rkH+++//3oaVTl6812oL6DgXEufC2um5pp9c+fBkmdRGWrRkQm3U/Krp2tKnXHqF2MS43bH7Pu9kiX4Voc2THGr7CdmWTj/qW3hRYnKTT3bzxeJo+pdCOc4tsdewavihdcArtG6e148Z7nFOY496ds1+05NwFOsS/xXywOJ62sS10q45tXxBAApOodrjr66/9jItnZqMssl51k7mIdl64N17I+wsYTLrSnq6urw4osv4plnnsGSJUsghMBOO+3UZWa7rlAxySSEQBjGY1iADz/8sOL0uNOmTcPw4cMjBNKWW25ZVi6Xy2HYsGGVDjWKkAF5kn4wyqOFOEllDmBUSKzVA6pDaQauSRsnsxy0AkaF1fFWLtvMy2xz5AEs4LL9LGQ4VsDhtzCU+hNEhsALSl2jQuO8dmbDRwgobkLwWjhYwGTWNjhzSibVBZokYwQbSqfHaFQiBKbUWcQ5EHiGaJKhdGQJniK3Gfc0GEBMk26IZAGjyCRUTh55UfZJPiBylhyQaimpJiJGRsEFsubgBiSPrd6duOLFKFw0D+coMrRiCky9VOpjIADBGJhaZkrFI5cBRsyGsOmxdOaVFCOW9LGKEyxumbI5PYtuL2svDp2GMGE9cdYh+RRRGEETmaxMhWT6Z4iqjVh0vatk0nUipJIXrRNp1yGJ5DpH7WbUc4qU1eFtHPI6dV6YXQ+nMkQOhCxXv2SOLCxYxLx63UNenJpsql8cVyclFne+M7N/+v6Lq5mYYObY2pVk67pEub5f1PPQ9KWVmlolqFVrIMzpgtQTOQInBl4CwhzBb1PPh1ASu0wAhz3WkCqYKoWrOqu0Xh/D9ddfH/nOOcemm26KE044AZMnT15PoypHb74LpUiRIkWKFCl6GT15d+qD702AfPeYNWsWli1bhmKxGNl23XXXdVgvCALk83m8+eab2GeffbDPPvv02pgqJpnGjBmDG264AbfffjsAOWFvbm7G5ZdfjgMO6EJVEMOsWbMwbtw4HH744Vi0aBG22GILnH766Tj55JMj5Z577jkMGTIEAwYMwKhRo3DNNddgyJAhlQ28OgB5WUkuBJBKJE10eOqX+4Ab1Y825OZFOWkTVQKswM0v8awoJ08iJ+REuI2DsmTC4ZjgEFUhWChVUOQBfqMHRkBYRWBFObfz1HUQ5gCRF5Z0CRl4gcn+OUA+OeoOwF/lyQmlTwhrAd4qw+BETSi9pAAwRiAdsucJoFYNPuBASe2rMlqmnFAm5VZtYCe4VEYq2bA2SyaJLCKheCCAGeYFEZKIdF3Sc2BmJ9oxokvXczPQaeUStBE4yQxWJhwPdhsxLaaRx5IzgoAinXR2Pm06bne5HC53ESNvIofLOUxGiNOF74wxQGeAMRN3mYQuYPoT8jjodW6/ZSRWjESKE0kRwskNgePO+oR2ytRL+gcj18A7Xj5GtpljQXBID7LsY0dSL7Nv7nZFCqp7Qfs2acP+jvyGehOG6ALKr2+g4//UYuspRhIZXyZVkPTxiTejjjEDWQWj7l+H66rnoWv+T+oeY8QAn1D/0jzM2WN8h/s5a59xAIBD5jREz626BlJyqaeI3SQV1etbWFPZ97pCb74LpUiRIkWKFCl6Gz15d+p7701PP/00Jk6ciJEjR+Ltt9/G9ttvj/feew9EhJ122qnTur7vY8SIEYk/mq0pKrZcvf7667Fo0SJsu+22aG9vxzHHHIMtt9wSH330EaZNm1ZRW//+979xyy23YJtttsGCBQtw2mmn4eyzz8bdd99tyowfPx5//OMf8cwzz+A3v/kNXnvtNeyzzz4oFAqJbRYKBTQ2Nkb+AMgJljbd1moknQHOCbuCAFg7Bysy8HZuJ10AeEn5NJEyuM3L9liRgRe5atuORYfZeW2yHa8IldHOGuNq6MxLXptUQTGh1EAkt0EAXiuH18LB2zlEjhBWCYQ1At5qD6wEsJDBa/bAGn1pdqxDjCg2OfUo4mkDBhn655FUYKntpA2Y1fGTn9F6lpwgiIxMY27ULYA8fiFsKJyLCMlA5WQHYLx/yjyAYuvctlx1DXEWIUvMpye3yT93mTl1o32atmOeQ1IOxfTuJiqSIt5MnZBGcoLvkEsxqUo5UVTeVhJZVqa6ih8nFquSNMRYWTcTYIQ44tG29c67x8+0F/m0B6lMjaMVNw45Et91owxKIqAckpSEJJgAdO1p1AuQyiU1dn0+BLP709EvLR1dJl39MuN6UrEO1rl/jmLKJZgM+aoUl7rP+pfnddK5xGP1Y/DEuLFWpdb3/s/esEBr8NfHcNJJJ6GpqalsfUtLS6fpf9c1evNdKEWKFClSpEjRy9hI3psmT56M888/H2+99Rby+Tz+9Kc/4YMPPsCoUaNw+OGHd1n/F7/4BSZPnowvvujdoHFGVPk0q62tDffff38kbu/YY49FVVVlUd3ZbBa77LILXnrpJbPu7LPPxmuvvYaXX345sc7y5csxYsQIPPDAAzj00EPLtl9xxRW48sory9YPv/kKsFyVnJi2y9AwVmTgyncJ2vCaIEPRQjjZySBD4hgZIgcECB2ypszDAVVfezwB4AVJagV1Ibw2bv2KVChJmCPwoiRChE/gAUNQI+A3c4gMSRNdlX0tzMmxhFXKiDwrw+rCnCrHZb9+M0epVhI+0KF8jGRGOj2pBCQJZc6+IkmC6IRSLjvqBkCGD6qMdWVQSiQWKl8rTS5p/kBP7j3YiSdZok+ry1iISJ9MOGXc5dD5rtRI7nYe2nLaDFwuq3ZDctp1vWjsLiX5LCVts3UTjktXaiQdDueGxanMfEYIpggzU0WTaPq7E6qmybMowcaiRFCcvIuRRGUhcl75+qjReLQ/ud+w6jaXeNKZCXnCsQLMfRcnSmS/lKhAioSfuWDyumZuhjnYsbOMjL1cG2F09UvmOGQSi55eHUJKkF5wzv0QIX8cgkzXK5fKOd+T6sK2YZ9VrEMFk3sv6nY1QchDmGUmgNmjx3X7eHyZQuWam5ux++67Y/Xq1airq1srfTQ2NqJ///4YfvMV4FX5rivEINra8cHpV6zVMfY2PM/D8uXLy9TKn332GYYNG4YgCDqoue7RW+9CGxr0dffiW5ujX618ULo+SkWyfibC+a2SO7+yeY5XUxyhI7F1vVGahD1ug3izWc7G/J0+F9Z5ZUVpgFle7iyP7vd3s9wics54o/8PbO43mmW2en6HY14b4P2jz06xekGvtd1Se6BZrmma3WvtdgTX78b1b0mRYkOEe3+4cL3g4t5xJed7LW83y67/XMl5toXOsybb+GTPB7uBIayLqtnd4+R6wXnO/wcl9X9GS5PAvjssW+vvJGvy7tQX35tqa2vx5ptvYuutt8bAgQPx4osvYrvttsNf//pXHHTQQXjvvfc6rb/jjjvi//2//4dSqYQRI0agpibqbrZkyZIejavicDkAqKqqwkknnbTGvyputtlm2HbbbSPrvvnNb+JPf/pTp3VGjBiBf/3rX4nbJ0+ejPPOO898b2xsxPDhw+UXAtDmWX8hJokbr8AMwcQIgCJ97OQOMgQukA+PMC/AS9I4SBtdh3mZqY4XZQgbMUswkUfqUxIcwidkmhnCnCRjeAkgH+CBXpbeUbykJpXKPJcF0hDZa5V9C9jx8yJDWCX7CartTU4eAUUOlhU2A52ZzDJLPkFmqGM+YuneISeY+vgBSv+mCBt3Eiui9YiT9XXRaghXyUIw6ehNaBRB+SMxEwZnzpeupozTtZKGhFZcyPrE5ORdejHJdZxJXyYQImQbhw4RVPvvkIV6/+I8rBvW5no5mfm48x9LIgHlqJ4i1jmqLTKdM4iY6sf0GxsTeQB5rEwpFCV77GdSZjhX1VTWhqMEK1Obqe162VUwJYbi6fXa34vFznEsO5whTvTXHoS4RczmVZtGoVOQ99OEV5+UhJPqe86OvZGFTl5zJJjxfdNnjmmSi0f3r0OSiNnrQvsrJXow6TYQa4PBaThWPHId6vtR3S9CVmaAfU7q8TPCwfMWyuefYJi179iytl18WQimFL2PxsZGEBGICE1NTcjn7YthGIZ48sknKw+TX8vorXehFClSpEiRIkWKnqCmpsZEeG2++eZYunQptttuOwDyB7qucPDBB6+VcfWIZLrnnntw22234d///jdefvlljBgxAtdffz222morHHTQQd1uZ88998Tbb78dWffOO+9gxIgRHdb5/PPP8cEHH2CzzTZL3J7L5ZDL5crWe/kAImSgnFDhQGQUOaEqzoQkhkQWMuV2hmTmOCGXeVGTPgwskKSPyBKQkcta8cQCGerGWrnJbua3ymxrYV7VywA8AIJqSSaxEDbUjqSvTqZdpgEXGYKvyCwiBuETwhoBVmLIrpaqJV6QHk7kkexbTUCF+pGQApU5jzOZ7UkTRZrpUJNRiqk9InNS5q5USw5hxTTrowkmRdoQA5iniSoWbSKWXo2g1B1QKh7BTCY5d4ILbnkWM48mu520OTtidZWySn8XZgiKuHEm5UyZi4OxyCRcEylMkEMs2UOTpHoqsxEiipBRmjgyJJJZ79aRXwW3RJZRLzlhfrqeSxYRs8ddK8r0MQDssYqc61hbZd9RTjBFVEedEUx6l7QnGI8zbuXjSCRTOkL8HDACqfOo1VPkk/Fesyb/amc6UFitEYzqyH4kCtwo9mnqy3XMNT4vKfIHLNp+Uru6WU38liml1AdztrvbFBkIAek/V2RgJK87XpRk7cRnFhhfphS9iI7icLtTr49gwIABYIyBMYavfe1rZdsZY4kq5fWJ3noXSpEiRYoUKVL0Mnry7tSH3ps0vve97+HPf/4ztt12W0yYMAHnn38+/vd//xePPvoovve973VZ//LLL18r46rYk+mWW27Beeedh/Hjx2PlypXGKGrgwIG44YYbKmrrZz/7GV555RVMmTIF/+///T/cd999uP3223HGGWcAkOEIF1xwAV5++WW89957eO6553DggQdik002wSGHHFJRXyQY/NoieD4A8wWYNtEWUkEEX5FI2hSXJOHktzKjUAprhDHGlsoR69MkcgIiQ8qkWxJJYbVA0E8yRyxkUjmhJuVhtZBG1YFUQYU5QGSlAXj2C88YfntFwFPEV1hFEL7M3uY3yVMX1EjmgZEktkROjcGTZf1GDt7GwUpKiqKJrDYPVJIsAwkOxgncE2C+VGRB+zkxJZzwCIyrP0+GK7GIH5JiQJR6CU4IYuRPez0p/yfL2Kh1HpljK/9I7Ysk3sh320J0vVoWTn3hASLjlPMA4TEIn0XL+IDwmfkjXt5uuTcUU+SI9XJK8olyQ8V0eJsp7zz/hMcS15trmMsyrvJIhl/ChvqRDGdyjcxNmJ269srUVbqfmFopUbnkEE5lCia97zr0lEfXuSFX+rzqfsFJmkP76tOz1xNp0lJdex2qmNzjHYcZl+zTXM++sGGfLolFMFng1gRzdpog7yGXGCIVSkqw903S+OPXkEse6dA55YFmvJPMxQPlPcei/UH2SZxAvoioyaCHo+s6hKQNg5X98AKDp8KNmbDPyHhIYoreAVHP//oKnn32WTz99NMgIjzyyCN45plnzN+LL76IZcuW4ZJLLlnfwzTozXehFClSpEiRIkXv4sv+3qRx3XXXYbfddgMgbYPGjBmDBx98ECNGjMCdd9653sZVsZLppptuwu9//3scfPDBuPbaa836XXbZBRdccEFFbe2666547LHHMHnyZFx11VUYOXIkbrjhBhx77LEApDfD//7v/+Luu+/GqlWrsNlmm2H06NF48MEHK04RTIIhbPflhE+HxFQLUMghhAAKXJIJWblNZACvXSqVmGAy21s7U9vI+VVf+spQTsgMbxkCZYWcDIayXlhFoJBsSJiKt5Jt20m3VtqIjEoBXqVUHh6kmieECZcTWenDpMP0hC+385LsjysvpzCvJ7ekfKLUpLYqAGMA93QYnSSNeCaEEABr9YCMmsQa9ZAmhWAm48yZ9JKSbTHATnI5mWMUVU1oMo/M8ABFSCiVj1QRwZTTyiKtSHGVSZr00CnXEUKG0bl9qiEZNQZnjncTIWL6pkPanMPn+ge5/dvzymxZ5lQ29WGUbXD3TR8OrtqIZ5VT34nL/WYhSbJJtxGDcLyZAElAEbckA1Nl4qFy1i8JUf8ll2RCbF3s0/omOSRUTL0UMY53yBd9/ohT9Hir8oz1xDfJMjPMJ0uyGjLHkk5QoW1w++0FzNl5AuqXzJGkLMH4tTH1z5ydJkQJLSbraNQvnivbMMbmatyaCAbZa0Pfd4p5NqolwIbW6W707nGYEFUAiBTq4BDwIrOHlpFUZhYZIICDFi4EBPDE/p2HzqWoAPq51JN6fQSjRo0CILPLDR8+HJxX/BvYOkVvvgulSJEiRYoUKXoZPXl36kPvTRpbbbWVWa6ursbNN99cUX3OOVgn3sE9zTxXMcn07rvvYscddyxbn8vl0NLSUvEA6uvrUV+f7H1SVVWFBQt6xwiRiMk5e8hAarbMPGtKRlkBocNACnJmJrJ6Yk0yXK7Eza/7ggNUJSSRxKW/C/kUzcQkAMqHYAGXJJDyeiJA1gmUWiCAXK9D23xCkNWkEhRhpFRKHoFlSYb1KTUWeYSwWo5RTyxFXpFpjIAW3/glUUn6M3lZAREyNfF1yBAGMF+APM+EEiFrfWpcA2MAjp+MJYZMqJzyjUmerBNMwJgmZTTRoNsAZJuxhwRT/lH6XESylbmeSsxZ1uSTAzeMToBJTySXaFJlbHP2BpSjt31HjN/1LjuEkRtexpyxGeKJ2fJlRuMOeeWScmWKzpjfU2LomzMWRuXl4goqN+StjINIIpjcdUgoj2hdt9/4cXK9mRjrjg+Te9L19xi4W4yUwkgToDI81m3iwDdnY/Z3kg0iK8GcnaLPuPolcwFSSifYz8S6inBKIpoY1DNF6CvS4c5I3ZH6voW99lxSkakDQiAgZJHrM+lwuts1ycpLzGTDNGRXit7DRhAup6HD5VtbW7Fs2TIUi8XI9m9961vrY1hl6O13ob6EiKm3c69/IfqZ5TyLnrfq2HdbrmSWa7zkMq7ROAC0i4xZbhLWuyvHS4nrXfDY/wvr2uzbRW8afceRYT2bFPQUrZS1XxwTcCA1Ak+x4aE7ZvjvVR0X+d7uXONb+CvtBscEPHQmGu3CTrHDuug7YFXjnG6PdUOD1xjNMBzWTrTLzjtHyTkW3vpibjaScDkAWLVqFR555BEsXboUF154IQYNGoQlS5Zg6NCh2GKLLTqt+9hjj0W+l0olvPHGG5g5c+Ya2RRUTDKNHDkSb775Zplv0rx588pMvDc0MC4ADoiiJ8PCuDQZhZ74V4cqmkXOvglWPYMSlyonPcHKC6DIQRkhDcGrQqBFZp3jbTIdXFij0zDJ/kmFoonqEKzEVciYGlwIeO3cZl0jWKPwrPVt0uFHIkcIq4UMhSMg7Bea9r0mT66rkuErxOW+oZ0bZQ8JgAKOMCSl4pAqJgDwstK2iUJJqqGo9k9DKU3KQnuILGmkj5smnPTzRU1+5TJZfst5/mjTYVfNIpcd9QTJCa1gzKqZHL8l7Y2s1xOTHlgR1VOZT5NSgwhySDRYMsudZDvnFeQoRggdqpusIsm2EyeYOgTZcDjzHVFlilE+RYgaWD8mZq+fSFp5h3goI4Lcc+Ksd43YEwkmveyovwxx5PozuWbfsec6U2UqUy+ZC6R8J2KeT4wTZn/7QBz419mRdXHUvzEH2guJiFVsCK4JJTAyZFNnpFJnSFQ0AQCTnmvkKPugFJiG6NXHPYRV+Pnq2lXbiQEIINWbunlDuFrlnwEBnvKL00Q5CxgeP2AMDpq/MFUz9RJ6Stz1RbLv008/xY9//GPMmzcvcXtPf1HrbfTld6EUKVKkSJHiy46evDv1xfemv/3tb9hvv/3Qv39/vPfeezj55JMxaNAgPPbYY3j//fdx9913d1o/yUPyhz/8Ibbbbjs8+OCDmDRpUo/GVTHJdOGFF+KMM85Ae3s7iAh/+ctfcP/992Pq1Km44447ejSIdQKCUSn41YGc4LrZ0PQyk6QLKY8TVuSW6AiU/1JVKENeqgKg6IH1K4Fafbk9ZAj7hXK5wEF5AeQIKEk1EmURnbGH8jsvMZM1TWSlIoppoimQIXrkKdLLlyQIb+fSvDiQk0lW4qB8KBVNQo6XF5gMAyxykPaiIgYRculHQwDX+8sAIRg4J/i5ECIkiJABvpBEFKl0xcZbSmemgwm5UwfRlJeqJ5dMUhNSQB5DZ330fFFUwSQcEoY750sRQixUJuMEM+HV5JLOPCeglhXBRJoQUsbiegLthuNpMsuOM+FPG0pr8stVjmgllEOcmf3jzHxGCCfnGNhDysraNlyd55D1MU4lqgyKHuIIF+Ou1oQaldcpI5s0keQSTAlZ4gzBZAgoh1RS99fc71aWMQ6QoWQRsgVJy+5BoDIiafa3o0qlA9+0v3BpxRwAkEr1V//GnIqIpp4SSh22p5RNZt/JEnKMy7BV4/8GyPsslMkKXO6NOMnMkxlhSEed5ACmLFOeX7KaidATdh0gveQgGHgIkEc4aP5CAMDB8xbi8fEp0bTGcJ9BldbrYzj33HOxcuVKvPLKKxg9ejQee+wxfPzxx7j66qvxm9/8Zn0Pz6DPvgulSJEiRYoUGwN68u7UB9+bzjvvPJx44omYPn16xE5o/PjxOOaYY3rc7m677YaTTz65x/UrJpl+/OMfIwgCXHTRRWhtbcUxxxyDLbbYAjfeeCOOOuqoHg9kraPdA6oAPxdABBx+ThIswhMQAYeA5xAHMrSOOMlQMWKAUCFxnIAMAe0q5E6rm/IhKCOkmTbTsz5JfhCT5cz8vJVLfxSPpOm4gsgQkAHgqUkiASIjwDizYXhQhIgipQBJOnFFhrE2T5JRIQe4DLGTmZ9IetIwAgXckkOCgyg0aibGCCLk4J4A9wTCog9AEkXcF+C+kEQTHNWHCxP8FQABAABJREFUuYm1fMhlJ8gJeVNKCEWsUY5slbK72lHlEEwInjxQqm9isfA6ecwYwWSXM4IiNSzTi54gK4LJqHOEIqCMOkp3ICub9sr2EiZEzgYuoSyczoaOqQXukGVOY3E+yCS+1526sbNxMijKRXUK8uypM+sSCClNWMU/zbZYG2XKJtf4Gs76uLdXBei+MbdL1nVe0qiaECdOnXaIoX7JHIChYlVTb8KommIkG2OQZuYBLBnrKTI6Dn1fcXWBerIO+U57whLg7oXvEk5eQWbKZMWYui5FigrxzDPP4IknnsCuu+4KzjlGjBiBMWPGoK6uDlOnTsWECb1L2vYUffZdKEWKFClSpEjxpcFrr72G2267rWz9FltsgRUrVvSozba2Ntx00034yle+0uNxVUQyBUGAP/7xjzjwwANx8skn47PPPoMQAkOGDOnxANYZsgJ+Xppd1/QroFCSJuBBewY8E8LLBSDBIAIOKkkFE3xSac6VysdXaiJGQJUABEOmuoSwxOH5IUrNWTn/9wkI1UysyMFqZNtesweRVeSOmqyJvAArqDA25dPEStwoa3iJQ+QFKJREEhNAWCXgBUwpD1zpCkA1IXiTB5ETMlQuLxDWCqN0QMjg5QOIogdwgpcNZWib9pZiVsDDOcHLhdIwHbIM45Js0sIaEdh0ZUxPVB3RkfEZYgCFktSAL78bTsVVKxko8sFVEBmlkSQAGJH12BGSCARJvywWsojJs+KclAoKiuiCCbGLhNuRQ3roSbVrVJ6oZjJDjpbVhIxnt+vshO6uMqXUYvG21BjcULkyTyV1nI3Bd4TIcQ90edNkyjn721245FasXqK3kjIBNyoahm56LXUCRbDM2ake9UvmmHC0+iVznAOlBstgyNWOfJZmf/tAo2RiTHl/Mb0jZPvrAblUv2SuVNcpwnjubmuw3y7cE8odJtWHDAdWYW6kCCR9LWmCW2RJZp/MCszZfTwmvDLP3D+UEyDhQdummFBQJslYqHuaBSoLpq/uPU1e9UXd8YaIjciTqaWlxbxTDBo0CJ9++im+9rWvYYcddsCSJUvW8+gk+vS7UIoUKVKkSLExYCPxZMrn82hsbCxb//bbb2PTTTftsv7AgQMjxt9EhKamJlRXV+Pee+/t8bgqIpl838dPf/pT/OMf/wAAbLLJJj3ueF2D+QIkMghDhpaAI19VRD4boJURhGAIih5E4MmwEl9INREDUJBSFFLEiCYipD8LUGqTh1A0Z8DyAjwvCSVUC/kZcqmWaZNkERikWqDITOp08pRpt7PMSgxUJRVNvI2DBQBl1IQwcEy/OaTaqsjBSwxo9uTcrqT8mHwmC+mJPaQnlV9dQtCeQViUXkwkmAmV8/wQYSgVWb7yaSJHSSUCDi8jItnpXFUTadNvR1GkPW3U2bAnxs7bzWo3uVrEs8nxPZL9yPNBUCoLDvlwCGUF4lKRppVKQvEEPHTaZE4bTgidq9jQYXhSCaUm6a5JOOyYIoQTJYTRqd13iSIWxubjCfNyoxpxvpvzz2AJJjjkE6n1Hou2o4m6JIIoropS64xqjjnjd5fhroupllyo8nN3OwD1rz25RgRTPAwtaq6d/J9Ed0y8k8rUvyFNGrtLLhkfJscPSY+3frHcprPGrQni9etfnwsSzDyfmPZk0uSTUpgxoey+hQyphQCoxFD/5/mYu6ckmuDJa1/kpZqSFwF9XMlT94Qvvc7CHOR1onzhWCifUW5IXYo1gPusqbReH8PXv/51vP3229hyyy3xne98B7fddhu23HJL3Hrrrdhss83W9/AA9O13oUrgNf0JHkkz75oOyiyvOdwsu2bfYSzTRgn2l5UMrK9WiexraLvz3HYNwUWsLdfU+hu5/ySOK8+CxLY2FpScX7JaHCPunphwu+d4s5aHE8ts0fJQxe2mSLEhI/4Mc59vGef54qLkGJa6z7waRJMaNDpm2e4zcHDzoz0b7HpEXdOsbpel5mYAu6+9wZR1iMrfg/rge9NBBx2Eq666Cg89JJ/DjDEsW7YMF198MQ477LAu619//fURkolzjk033RS77bYbBg4c2ONxVRwut9tuu+GNN94oM7vsCxAhM2ocAMj5AVgVoaUtBxIMfr6EoODLCVqLDDvTvkHaQFtmbANEm29CgJhH4P1KEAFH2OaDBcrUmxFYhkABA8sLE2IH7a0ETRJRNJ14iUNUCdl+Owc8gHyZIpy4JKIASJJKMKDEAI8guCSoPGVADg6VwU4xFP0CwJNKpLBkH35avWSOk2DGr0pfcmG7D54LwRjZCSyT+67HTpqUgaMA0WSKMk1WJW2Hrlm1CUmzF7oJi1P1rLeRnjQz1RxZ3yYTVucs6+PhZJQzfzqsTinWdOicMX13zL/N0LlSDunhO57wdt/MvD7CmEWMvh1SijiTYZnOuUgk1GMG37awPCmJUV4JpFBiG0noIpN4YqY7d6Nz2iHktbqmBFO3kUSk9QA9DYsjgiSaXazlH0kkOe5JotfcwCx6HkxhMgpCppRNE159EnO/d4AkmhRpSCpBJStJUlSb3/NAX88y9FcwSS7xEnMUYCnWGBsRyXTuuedi+fLlAIDLL78c48aNwx//+Edks1n84Q9/WL+Dc9CX34VSpEiRIkWKLz02EpLp17/+NQ444AAMGTIEbW1tGDVqFFasWIHdd98d11xzTZf199lnHwwfPjxCNGksW7YM//Vf/9WjcVVMMp1++uk4//zz8eGHH2LnnXdGTU30960NJb1wHH42RLa6CMYIVTn5qxYRQ1NrHlW5IjJ+KEPooMJkHPNsE8bFCWjzZBa6rJBhdYIB7RyCfFA+lKFyXghW8IAsgUpqAtfiSQKmJP1OKC/D7UwYSsgMGWDUJoJJgkmrgjxms4IxSI8VPZETBMoSWIFDVIUmwx0AiCoBlhFgngCFHKLggUIGngvl94CB+2QIpLDoSQUTSaVSPi9Q8oRROuljZ0PiJIFkvJe0kkcdSx2mZKgih/gpS6gWub5tY1GVj2PaLtRuah8lN9OcVnCEkDPvINa+q2RiUskElyzS5I8mmHQ0oNBclmPkrdmn+J9zLIzxNyk1CZg1lVc/zJoMegkgd0NsP+R1kTyhZ0QgpghKhug1VFY4tuyQNJT4nTonrRzjbDCS6pik897roMhY17V3UkS1pM5x/ZK5mLPThF43Ao/0u8sE1L+u+lTSPUN4h+qk6ZC3rABrl4S4JphYicETniSYAMzZfbxpu/5FmepbE97gBAHl96a850RGqrZEljBrv9Twu9ewEZFMxx57rFnecccd8d577+Gf//wn/uu//muDUgz11XehFClSpEiRYqPARkIy1dXV4cUXX8QzzzyDJUuWQAiBnXbaCfvtt1+36o8cORLLly8vC/n//PPPMXLkyB5n9a2YZDryyCMBAGeffbZZx5g0hmaMbTDpheMorc4BeY6a6gJWrqqB5wtkMgHy2RJaWnPgnFBszUiVUmDNu0mHzalJGPmK8NCG0DltNKRUS0UuzcCr5U/8jAEUcFCGQFnJUrBQteuY8pKnUokHUukBYRVXlBNSCdTMTKYoykl2RZryCukhpVKUsSJHWBMqk20GVmSA4OD9AwQFD6zdkz5RxODlQoiA2RA5InBP9pf1QxQDD5wRfD9EoZABmMo4B+nZpAkjxghCyHWRMDe4pJL+1NInR/Wkvrub9UrjjWNXSUKIYLxfSJE3TDDpMRWokD2l7OEgM8GWA0aZwseQTZpcYnqMzrYI2QXjEwXG5L7odt0HG9l2yLBXunvZKHmWaDK76fRn1E+qulHkMrvNJYEiZJILR83kcF+mrBsOFwmNi40rKWzO7Tvap3NCjTkW1qqaKRo6t/6wpuFwPepzF2UI7hCxIPnMATlcpCKGtDIyQjS1SDaw/vn5mLPX/qbt2XuPQ/0L841gkPlS3UQeQeSU2tInPDE2JZh6FRuJJ1OpVMLXv/51zJkzB9tuuy0AoLq6GjvttNN6Hlk5+uq7UIoUKVKkSLFRYCPxZNLYZ599sM8++1Rcjzr45b+5uRn5fL7H46mYZHr33Xd73Nl6RU6AQhki5vkCpZYMWC3B9wRyuQCFgg+eERAlnWUudpEpDsema5dEEBU9sJwMoSNF9DBPgFp80wbj2kCcRcO1GEljb8BmlONataROuC+kOqrAZRs56b/EQibVVgSwdk+qEjik8ikjwEpMTjIzkoAi9b7LilwqrhTLIEIGnhHgnCCE3Dffl6olQQxEDCEx5LMliEwIIZTPkckKZhUjnl52JrLan0lHhgEw4XD2uyLTVHwZY+UXO3MMjWU5fR7ksg7fIa160v5MDtFkwr7U9oiJMZMKDaNcUuQRDxHNVOcQR5FhMjkupsZl1FAu2aaGY8gjh8xKEgDpdtw+EPseIZ/ccobwYVE1VWdwlD+JoXVd1etondsut8qndRIu1wXq35hjVE7ad8nc/6zc96mvQJNb9a89aS9E88lAWSHDel0iksEYhLMSQFm5WhNNc76/P+r/PF8S8RlSIcQks18GDMTkc466CK9MkaIjZDIZFAqFRMn2hoY++y6UIkWKFClSpOjzuPvuu7tV7vjjj09cf9555wGQP5BddtllqK6uNtvCMMSrr76K73znOz0eX8UkU1/1H/AyIUSQR+OqatTUtYMxQrEpi1LGB/cIYZGD+wJchYmJgCsFC1PkhCJVADBPyHWcg/sBRMhl1rVqyeSIovRzYr4khAClEmAAlMKGl2SZsFqAeSSJDBWupvuhkElVFEGSS+1c+gZVBbJAUTEftSWgXWaLQy4EWnxLZkERVtUhwsYskBeGsOGZUI6VEYrCl/3lQkNwlUoectlAqpk4wfMk20JOuJpcp/qJZPPSRIsKpSO5hpTUh1wiL0HhZMkpFiGyytVP5PRNYMq/yfIqSmHkqTU6rEybbXPrzcxUuJ1r/C0c/yYewhgZG78mnTVO2GNgzcnJqpj0dpdYMgSTJMeM0bJn+3BVS+acuuSPmozF1UhlxtwcJlwuHgaXhHgIXJliSROt7inU63QbhpC12+bsMR4bCurfmAOQykQXjx/swwRTBPYig1YAkjpH5AvAhySbdCIBHyphAMAL0hScPGDiUwsxa7+xmLPn/mVdHPjcAiBDMoSOIQ2TWwtgcVK7gnp9DWeddRamTZuGO+64A75f8SvKOkNfeBe6+eab8atf/QrLly/HdttthxtuuAE/+MEPerUP1wi6IxNwAOCw7wqekxHANaj2nF9DWkTOLH8a1kXack13XVPwTT2bXafGMfv2Gud1sRdfPoQd/OfeVmdVvlnHgL3omBQDQLtw7j3K9O7gUqTYQLGs5iiz7InodT/MX22Wa7l9vjWJrFne3Guz68mWycezoDhf25376/N+h5rlvmgCvqGhJ+9Ofem96ZxzzulwG2MMLS0tCIKgQ5LpjTfeACCVTP/7v/+LbNZey9lsFt/+9rdxwQUX9Hh8Fb/BzZqV7CLPGEM+n8dXv/pVjBw5sscDWlsIix64D0AwBCEHEQPPhsjmAxkmlpNeRGj3pKE2I1DAwZSfCYhJVREjUMjBPAHGpYLJywiTfSxskwom5inDb8CGrRBkmBuAMBvai7/IAd954nCAcZk63DAgimiSYgRF8FQHkggpepKEavPgDSwgbPUgagR4qwfBARZIYoyIS28oAqguMKotEXI1AXUILsAQTAyQIXNeCK59nojB48KQPcIlj6DIFpjdtgbZ3SSdmKGINIkEY8pt27GHzCiIQgZ4XPVPqm8mqTHG1INd0VDqsEY8grQvkyabQkeRpMVUWv2hySXVnCGFFKlEzJqDG/VSlC+zUXukSCBPNsBIKkpMQdjvcfVSUrhbBCxKMFmCKvYZR7ytCIFF7ukyJFJiiB1DhJyY8Mo8zP3eBkA2EaCvgwh6WURR//pcADKMrcf11QVUaRu6/IS/PCnbCADmk1GRTXj1SVlQwIbw6vPqyfUslMTTxKcWggkgrBaY8/1oCB0ATHxmASAYJj6zALP2GdejfU3RATRx3ZN6fQyvvvoqnn76aSxcuBA77LBDmdfRo49uGC/eG/q70IMPPohzzz0XN998M/bcc0/cdtttGD9+PP7+97/32MQzRYoUKVKk6DPoybtTH3pvWrlyZeL65cuX48orr8Rdd92FMWPGdFj/2WefBQD8+Mc/xo033oi6uroOy/YEFZNMBx98sPEdcOF6EXz/+9/H448/vkZp73odmtERDCLkCEuSQCJIc+uw5EsCySdFMHDpfxTIX/KZ9jPxCCQIVOJgvpD+TQTwjFCpwwEUGVBkYBmSmd/0EARTWZ6UooYTUOIAJ7CS/DWOlEE3APBsKEkYggy1y0jGg4ScxYt2H5l+RWnC3eKDfEWUVYcylM8n8DYZEkOk+oYiJAocyEvjb+P/xMmEqoUhR3shA8YIfiZUnkueCqGT7Xkc4Ipo4tBEE+D6J0W8lPRxUAoYcsgkV3uUdH9r76Kydbofd4M+tlrBwSTBxFwSxg2dM6SQI/xwCRhNBjKnL+bUcdaZKqY+U+soprCKE0ySkNJ1dNifG0oXOZRuJrnYIbbkj5NpLnZQKVY2qb55OLt9sFgZFtuu4ZyruPplQyCYjHopkWCiXvN00gQRCaD+JflrOqnQW9dUuzP0lJxyIa99xzMsspEAZTgvVW/2CjXXaEjgBUkOi0wyCyeJThn2e9DChUaBlyqbUlSCAQMGdCvl7vrGhv4udN1112HSpEn4yU9+AgC44YYbsGDBAtxyyy2YOnXqOh9PihQpUqRIkWLtoampCdOmTcONN96I7bbbDgsWLMDo0aO7rDdjxoy1Mp6KSaaGhgZccskluOaaa/Dd734XAPCXv/wFv/jFL3DppZeif//+OPXUU3HBBRfgzjvv7PUB9xQUyJA25guEJRUax23YlwhU2itPgAWezUwG+cu/IUCENMumkElSiZEknkIGUfQkp1AVAs0eUOSgKhl+x0JmfJFk20KSPlkhiYSQSYIpI6JhYrq8JxwiiyBKHlgmNAoqVh2Ae3J/qmrb0bqyWs6hfWU4XvAMqUYZyZpwTkBWwMsIiFC2W2zLIF9TRC5XQjYTolD0UZMrIiSGjB8iCDlCwRGEHKIkvZr0OKUISJJQoZDkWxjo2C8yzAQRJHGlw6lgFU66ADllTf04HENwBqZCDtUmBukXo1tXyik52VaTAK1EEgwmlIikciPupQRuSSi9nRjKwuW06IzpUEWzLmoMbsoBjom3w2IxRYAQyYxz+mC4xFFMSRQNkWOIEEDdUC1FfKt0WRZtP0JCRPqMKZuc+hsmEgbGKg+Rq18815zIjky+jUqPmFEGgYD6RQuAjPJz44S5u3XsUVX/+lxFLtuhz/1u9z2tOvK/mrvbAUrlJC9oFqpLPwTcUE1kAF6wirm4IThgFU0HPrsAYAyz9k3Jpd6CusV6VK+vYW297PQ2NuR3oWKxiMWLF+Piiy+OrB87dixeeumlsvKFQgGFQsF8b2xsLCuTIkWKFClS9CX05N2pL743FYtF/Pa3v8WUKVOwySabYMaMGfjhD39YURuvvfYaHn74YSxbtgzFYjTcvacK8opJpnPOOQe333479thjD7Nu3333RT6fxymnnIL/+7//ww033ICTTjqpRwNam6DQTuJFyCEC5b3ECV42lFnJhCR7KFSqJF/IsDcO481EgsHPShNs7hHCgEtfpowA9wVEiQM1Ks5KK5mywkhXNLEFj+w6D/DygVRGcan2YYqJ4FlpIKTJJxFIoyAihqA9Ay8XQJS4DH9r8tHOCLn+7QiKPsJ2mU0OnlRp6RuOwEBCSipEwMB9gpcJAaVaCgIPpZKPqnwRgeDwucxm5zEBAYZcxvFEcOQRmmgClIrJvbvNPjFJPmlySvk9cS5Meyaszpw82DajZzVxndxRpnyXtEJKTvKhwoLIHH45c2cB7CTe9S9S65iAIfWMAspRGxGDDZ8TMAbkto4is0ycHqKkk9uX+c70oZNkU0yZFCGANLGlCKYyciiOGEllCCZ3/91ySdnqOmgTDJjzg3L/ng0Fc3aagPolczFnZ/mp11UCo1Lq6j8wlyjVhKEO29ReYgHHhFefBAu4DNEUKoOkuU6k2T9CyDqcUP/yPMAJfesp4mTVhFfmSfJUK+uUApPU/xa8nYE8hgOfXQDyqJxsGp2GyvU6OryJu1GvDyIIAjz33HNYunQpjjnmGNTW1uI///kP6urq0K9fv/U9PAAb9rvQZ599hjAMMXTo0Mj6oUOHYsWKFWXlp06diiuvvHKN+3W9RUTsP4u846PkuYYkDlwfIdeHqSmMZrep9dptucCWc32g6lqSwxk3FtQ12f3/pJ9VBmbJ8WFi1oepFMvYkOf2fJWELfdRzRG2PtkpxMjW+7o1LncsodNn1kmvm3rRpFiXcK/J9wqbm2XXLw4AtvBXmWXXhynj+C01UfI9VRtLH13jPA/bHf+4jsY1pPlPHY4/RSfoybtTH3pvIiLcfffduOyyyxAEAaZMmYJJkybB87yuKzt44IEHcPzxx2Ps2LFoaGjA2LFj8a9//QsrVqzAIYcc0uPxVUwyLV26NDFmr66uDv/+978BANtssw0+++yzHg9qbUASDQxUYnICLfTsTZFPvnwASA8mAXAuJ4JMKZlCySAwLlVLflWIQGWry2RCqXDyhfQ3EkySVJ5UOQEwpBURTOid7FB/EhiX49TG3IwDnIcICr7yfWLgvswiF5Y4EDITssd9QtgkQ+9EUxYlAH42REi+3E2PwHMhiHNLoAnIbHRCKnuCoicNzDlBCJlZzvcEfC6MJxJjACcdPyZfJDWxJEkwAicGQaQYJ3uzshjhBGLSe4qUx5POWOeUN2Fd6lxpoq1b55xBmhxrhRAjGfooVFYswWxonHs+YsQRU+sNZ+YISgxR5RBDprx7ipPaj6mlEtn2uDpId9zRIWAJy/GyndSnGLlUpk6Kt6FYS3f7nFF9i2RYqwbf5oIgGxLpxlgSoFlFFjKZGEBfB6EMeTXebVpAph8fBJCQvkrMq9yvqSPM/d54STTpc6oUh1ZVyMyzMUWK3sb777+P/fffH8uWLUOhUMCYMWNQW1uL6dOno729Hbfeeuv6HiKAvvEuFM/Sp8P44pg8ebLJMgNIJdPw4cPX+vhSpEiRIkWKFD3Dt7/9bSxduhRnnXUWzj33XFRXV6OlpaWsXFdeS1OmTMH111+PM844A7W1tbjxxhsxcuRInHrqqdhss816PL6KSaadd94ZF154Ie6++25suummAIBPP/0UF110EXbddVcAwL/+9S985Stf6fGg1gZ4YwaoloQKA4FlCKLAjcolbPNt6FlWsdKcwJUhN8tZ6YiXUYw0SYJJCIZcviR9ijwBzw8RBh7CokpdVuRgJFUILKNC9FTonp5s8oyUvjBPzuH8XGDmodwrodTuI1cVQAgGcBkmR5zZEBqPwKoCUMDh5UOEBQ8sH6D/pk1Y/UUNctWSKQ+4BxLM7BfnhFK7zCwHpfrhXIB7DIwJeEwgEBweEwhJEk/aeynDQ0kM6WxVJMkmjxN8j0EIjiLzTIgfA4xaiTFpJh4njVwDca1kMoooptdZNsbNQheBZnaYIpTIrDTEUMRoiZMkyvREPu63hOhyxK9IKZd0driIIbkWo3BJCMi+lCF4bKiJ/ksxXq7DELkYugxdY476KU70d0D8axKNYmOI10sKpdoQsSbkkjHjhuUwuwX3ZDuZC82BVZ5wIIAFTGZ644qwDZklMgMVrlsCKC9J7vrXnlxjVZNGZ75Z9S/OV1kYWeQ8yzA5GzaXohfhkIwV1+tjOOecc7DLLrvgr3/9KwYPHmzWH3LIIcZfaEPAhvwutMkmm8DzvDLV0ieffFKmbgKAXC6HXC5Xtj5FihQpUqTos+jJu1Mfem966623AADTp0/Hr371q7Lt+oelMAzLtrlYunQpJkyQc6JcLoeWlhYwxvCzn/0M++yzT4+VzhWTTHfeeScOOuggfOUrX8Hw4cPBGMOyZcuw1VZb4YknngAANDc349JLL+3RgNYWwn4BMl/kIXIC6BeCVmfAqkOg1QOqFMEDyyowZWitM8dpvyMhJBFDxFBdVUSx5CHjhygFnglxE8JDNldCiXsICj6QU+F3WaVoygil8GGKYArh+UolJRi4J+BxgSDw4HkCBCCTD1AqeaiuKoIxQkvgwcuGKLX7Sv0kwH2OMFQkR5GjfVUepbwPgMH3QxSLPvysNF3JZQMIYuBMqZZCSTx5vgBjQC4ToBR4KAkPWS9EMfRMZjkiIAg9hIyjKlsy68FsCmLBGYhCZJ2wumgmOpi2mGlXqpmImKOM0gWtGkmTTYpDkmW0YskhYgC7ijhUmJok+BDqUDqnaWgCUPeJiEeRLq99dUwYnIBRqRniQNd3iCrXckkbLTOyhuAmekqPPbYv5rmXQALFSaLIZyf1jComVs606fwR04OKjUstz957HOoXLegTBNOaYs4uE1D/mszMRtSxP9KcXZXnkboItIIOWs2ormMJkuFwSgFoPcAU0aSKcO3/Fapjr0LsKCdQ//rcXlM0dQQ3s1z98/Plur32l/eYAA58bkFKNPU2NiKS6cUXX8Sf//znSCpdABgxYgQ++uij9TSqcmzI70LZbBY777wzGhoaIlL3hoYGHHTQQet8PClSpEiRIsU6x5ecZNLZ4dYUgwYNQlNTEwBgiy22wFtvvYUddtgBq1atQmtra4/brZhk+vrXv45//OMfWLBgAd555x0QEb7xjW9gzJgx4FzOyA8++OAeD2htgZW4zLYWMIhWD+gXACEHqoTMJqfDFxmBAi4NeQkIAw4/E0YuOsYIGT8EZ4SaXBEl4aE6X0QQcpQCD5wTfE+SRAAkmeArYkllYAKY9HryhfFo4owAT/oTEQG+CuHjnBAWfWSzAfKZEkrCQ21tG1rbssjVFFEq+MjlArS3ZcF8gUwuQOgJhCWpIkIo1UVh0QPPB6iuKqK1LSuNz7mAnwlRCn2ERU+G3lWVIMCk55QOi1P+U4wRPA54XJJQertLFJl9YZaTILKRc5HIf7XO9XXSZQQxRcxQpLhWNmkzbaATXxxFHtqwOVVeT/Y1k6NIFKbVPeo0kbAKHpfDcqKgZHldTu+SQ/SUrYPTjtqHGJ9klU0O8VSmctLtu30xp7BDkrl+T5rbiCuhEgkoZv8i+9SBgqqvhcqtCebsegDqX3uy+0qmDszrIydYMOuFZMpAKYdidfUFonyapJ8TYcKrT3ZqIt6bmLPX/qh/fj7qn58v76cUawWOYLTiet3F1KlT8eijj+Kf//wnqqqqsMcee2DatGn4+te/btvr4GKfPn06LrzwQgDSRPqCCy7A/fffj7a2Nuy77764+eabu63oEUIk/ur24Ycfora2tvs7tJaxob8LnXfeeTjuuOOwyy67YPfdd8ftt9+OZcuW4bTTTltvY0qRIkWKFCnWFXry7tSTd631hVGjRvVKOz/4wQ/Q0NCAHXbYAUcccQTOOeccPPPMM2hoaMC+++7b43YrJpkA+aK5//77Y++990Yul+vwxXNDAisyUA0Mq0kBl+EoNQFQcmiPgjLJLiojb0+GtGX8EIWCD5A0vQ4FRz4TwOMCHpfkS4YLZL0QAgwlpULiNdKIMij6IAGZFc4jEGRWN00wBUUPlJGKqaAgT4vvSxUTZwTfD5HLBmAMyPsBvmiqRiYjx5SvKqJQ8JHNlWTmt5KHsOAhUxUgnyuhuTGP1tYcavu3gXNCseTB90NkVdgfUYig6EOagHMUiz4ymRCcE4JQZpJjyvSbMTmn9RghmwttZjlGihSKftdHVoAZlRMl0MQy7bNWOimJnwrPA9PrnAqaaIoxI8woneDEMUmCKaIiEYraiZspMVIhbkppBKW2EjBKDWOATZZogiKnNDEFXcQJiSIm67tkkQzL08yPs4MU+4Rto0xFpMklTRbx2GfC7cnctpIIo7iiSqlwyr2ZaKM2eu5OeNrc78bUTJrb1Com8ycPLtMhsA5YaA+8q7yTGRIZyFP/k6pz2Zuhc11hzl77o/6F+ZKrDcvHnqIXsA6UTIsWLcIZZ5yBXXfdFUEQ4JJLLsHYsWPx97//HTU1NQCA5cuXR+rMmzcPkyZNwmGHWYPSc889F7Nnz8YDDzyAwYMH4/zzz0d9fT0WL17cLTPKMWPG4IYbbsDtt98OQP7f0NzcjMsvvxwHHLBurunuYkN+FzryyCPx+eef46qrrsLy5cux/fbb48knn8SIESPWWp+DvWazXKLo62ULWWVaKKyRt+ew526d0PnPZlhmdaQt7hiHu+Vcc/EUFq5pcEvtgWbZNSZ2jcLjqOpgvWtM3JOxLK853Cx/HtbYMdYcFalT4xi6u+d+YPPjFfefIkVnKAibvGCQ3xzZ5iY2qOb2mnQTGbj31ABuDb292H8NLSJ5+t3kPBtruU1w8E7VcZFyw3z7TKxxjMO9xnmJ7W60+JIrmXoLv/3tb9HeLq+3yZMnI5PJ4MUXX8Shhx66RmrsikkmIQSuueYa3Hrrrfj444/xzjvvYKuttsKll16KLbfcEpMmTerxYNYm/GYORkrNVOQIaxhEjkDNGSAfgmdDME4IREYqAnLS2ZaIgQRQCjz0qymgtS2L1rYsBtW1ojojQ9dKwkMQeqjJFtBSzCHLQxRLPmqr2rGyqRphyUO2qiRD4EIPvheivS0LPxPK0LCQG8IkLHEwFQ9TKvrgnkAgGLJZqRwCgH65AoYMkLK2IO+htZhBEZIIy7IArSIHwQn5XAktzTn0q2tHVhFjxZJnQsxKgQciIJ8NkK8qgjNCeyGDoOghW11AzpcvbC2FLKpyJVMv6ymFlUP36tA7DUlK2e/xULm4D5MHgqTeyo3EI2F0ruKJVEgRSPJJjBkfZcsOqYm7CkW0CiZIA3goA3Cdcc7Ud6RXOkJMWOJGey2Vhcfp0DltjEy2bJx0YuR81/Io1Y7OQBchddzQPockihBMMYVSxHfJg90/c6KsyimS4c6RVrk+TLpOJIQuRdcw1wiTiiRNGsXVP9pEPU6edvAfpSkmmAyry5Ax6l6X0JkEU0XTWsI6IJnmz58f+T5jxgwMGTIEixcvxl577QUAGDZsWKTME088gdGjR2OrrbYCAKxevRp33nkn7rnnHuy3334AgHvvvRfDhw/HU089hXHjuiakr7/+eowePRrbbrst2tvbccwxx+Bf//oXNtlkE9x///3d36G1jL7wLnT66afj9NNPX9/DSJEiRYoUKdY9UpKpSwRBgNmzZ5v3M845LrroIlx00UVr3DbvukgUV199Nf7whz9g+vTpEc+EHXbYAXfccccaD2htwSsAXhHgRQaRlbNpygjwgvQjEkXlqZQVQC6URthqIpjJBAgDjqwXIpMJkc1K8iXnByYFq++FyHohfC9ESzGLuqp2lIQkdLSfE2NAdV6y34zJMDjGCJ4v2/R8AU/5M2UyIbxMiExGridiMjQv8JDhIWoyRWR4iKb2HNqLGXi+gO+pDHSeAM8ICGLwcyFCwdDUmkcYcmR8OcZSyQdnZEL6SiX5OWRAE/LVRfieMEIg3xPwGElFlSdsCB2xiL+S6IRx8LhQoXayvv4ORMkqDnlMuPqTGe0oUtb9sVgrl5gmhmLrjdzIlNEEDJUTJcyZnKsyRrUUWZ+gAkogXsxo4vUR79d+j4eluXU7C21zt1NsHJF+nb47NfuOjyUJfUlTugGACWUsr9U+BEkIccXwcXLOeUzj2xnBpIlMj2R2uvVI8khvpvS62NDQ2NgY+SsUCl3WWb1a/lI6aNCgxO0ff/wx5s6dGyFTFi9ejFKphLFjx5p1m2++Obbffnu89NJL3Rrr5ptvjjfffBMXXHABTj31VOy444649tpr8cYbb2DIkCHdamNdoK++C6VIkSJFihQpUgCA7/v46U9/2q33worbrrTC3Xffjdtvvx377rtvJLb/W9/6Fv75z3/26uB6E14b4JekaW6YYSgOBAAfYb8AXqMPkRMIihy5wW0oFXxkcwGCgCNo9xF4AoP7tyAkhiDk+MrAVSgJL6LKyfslVPslCGIIQkkEDaxqRdYL8UVjNcKQQwgZRte/ug3ZjDQLz/iEqmwJgeCmPY8LcBCa2vLwPYGqXAktbTLzS8YP0VLMIV/dgrwvs80N6teKtpKPnB+gtb3amJLnMyW0UFaF84UIQo4sFxCCyzBAAFXKSyqfk3LL/3w8AFX95IVWCDzU5gsQYMh4NjQuFJabJGJGrs50iFwC+ZBEQHFGELCqJk0exVVNMlyOgSszdg53gs0MOaTVTK5fExlzIgA6nA2Q28lIiGQ5ARlKp1O0AzILHGNw4v5kO3Ci22JKJznhd9ROzFFBEYz6SSubyg4XAcRjTBWDGq/cxogi/ksR0gvomHCKkUcd1XPHkqh8Uus25lC5iqBD4xwVXUQBp49pPHTOOf8d/rqiLwNFXlEgPye8Mk+qpjJkzMnXhV/TxmD8vq6xpp5M8XT0l19+Oa644ooO6xERzjvvPHz/+9/H9ttvn1hm5syZqK2txaGHHmrWrVixAtlsFgMHDoyUHTp0aFmms85QVVWFk046CSeddFK366xr9NV3oRQpUqRIkWJjwJfdk6m3sNtuu+GNN97o9XD6ikmmjz76CF/96lfL1gshUCqVEmpsGAjzgAegmAe8doCXgOwXDEXmgQWAF3CEtQLFtoxU0nCBun5FNLE8GCc0tuYxuLYFvIoQKkJoVVsVBlW3YpN8Cz5rr4HPBAblWvFpSz/0z7dhRVMthtU2gTNCSyGLUCkM6vJS5cRBCJQSyhMcpDyNPC7QVsqgtqodApLY8jyBkBg2rWkGZ4S8F4AzQr98AVk/wNCaJnzQOAA1VQXUZiUx1NieRz4bIBQMWU+gWPIlScMFOJM+SzoEj4ihVPLUpw+PkyGGarJSfSWUR1IxjPpqcDX79TgMEQUgkWwCDH/jkEtkwuF0P7pd1yxcODNtj0ufJiFgw+YYVOotlerN8bsxZBNj1rfJ+CNZokmGsFlLcbnZhs4xqFA4hyRww+gSCSeXWCJYj6cIqWC5HDckLuq/ZL8IzqIPwo5US846t3iSt5NRbTm77YSXl6mnZu2TEkzdQf3L86zPklb5xNVGZWRePFYSEbLQNQGPXC+QZBMJJptjBIQMjAP1L84HYxwT/vKkzcqIjjPjpdiAUCY9rKAegA8++AB1dXVmdVfp6s8880z87W9/w4svvthhmbvuugvHHnss8vl8h2XMMFQa3e7i7bffxk033YR//OMfYIzhG9/4Bs4880x84xvf6HYbaxt99V0oRYoUKVKk2CjQk3enjdAH5PTTT8f555+PDz/8EDvvvLPx4dT41re+1aN2KyaZtttuO7zwwgtlbNfDDz+MHXfcsUeDWBco1RHItyoTXpCfXis3ZEDgC1DBA2/x4PUroK2QQXVVAYwBVZkSMjxEJhsiII7Nqpvw79WDMCDbjiwPMKyqyZAjoWDI8hCMAavbqzCwyqb/y/oBfC5QEh4KoY+8L19GOSOUQg85L0BrKYu8H6AYeKjLtRvyRaunAsFRl5FqIymykaFlpcBDPiO9n0qBNKirypTQXMiCg5DNBCiWfFVPkmWMSW+mMODwfDlzFYKhtS2LfjXSBEyTSCXhIRTcKJm4E8aWNH8QxOA7s2GhZtHaFDy+zGJG3sKZdTNGEaIpbvgdAYvknZOTd2PmTUbtBKbIKU5GEaWJJr3dhq6p1jSZ5ahP9PUDZz3pqoY5ig4x7q3kClWYIqS6ItPJIa4A229cxVRGQDmqpsR2WfSzs7IpOkf9y/MsoeQ5J9W9hhLUYsZ2THuI6U1ufRdchsqVhT1qpR9FG9CeYRuQT3GKztATXwFdD0BdXV2EZOoMZ511FmbNmoXnn3++w4xwL7zwAt5++208+OCDkfXDhg1DsVjEypUrI2qmTz75BHvssUe3+n/kkUdw9NFHm6xoAPDKK69ghx12wH333YfDDz+8ixbWDfrqu9DahGsevbLfwZFtnwf9zHKW2eyBRbI/WhUcY13X9PajUlQZ5xrtxk3BU3SOmqbZZrmtrn6N2nJNvHuCzVoetsvO+sbaiZFyrhky79GDMEWKjuFex9w/1yy/0xb1IKzlbWa53UlSMMizc7yv+/bZ9JnzY2CTEwECACXnudfR9b1KVJvlDItmXHVNyN36+X5WWTy4+VFs9OjJu1MffMS0t7fjpptuwrPPPotPPvkEQkTTUS9ZsqTT+kceeSQA4OyzzzbrZEIu+QNhUsbf7qBikunyyy/Hcccdh48++ghCCDz66KN4++23cffdd2POnDk9GsS6gN/CgDpA+HJyHmatmkTkBUSW4DX5EFkBGlAy5Elbexab9m+GxwUaC3kEIcem/ZrRHvr46oDP8WFzf3hcYGhVM1qDDDbJt2BgVRt8LjCi/0oTPja4qgVNpRxWt+UxcECbVDchi5ZiDv3zbcjzAMJnKATSKykUHB4nrG6vQlWmhLpcO/qrl668F0gCh4fon5d9AcCQ2iZkvRBNxRyKgYesFyrvI6AYSpVSVbaE9pIP3xMyc1zgGVNszgjcl15Jdf3a0dSSR1UmAPclERQKjkBweFwYNZfHyGSO08csklWOMeOzZLLLaVZFEUwRFROsaokTRYgmQJJSbjYZTUwxRjYcjuQv51EG2060pRJJGYtD8U4EFSaXEDpnHjgOI+TCeSBppZOppkkdEeMT1BeTkQ6I8lExdUp5Adu2KeIYg7sEEzljKfN9iiOJWEooO2vfseUrUxjUvzAf8Alzdh8vv788L0YqOUqljs4FJ3PJyXKWDE30XTLn1pYDEP0PUzCwEMY3aW1loKt/fn4aNteLWNNwue6AiHDWWWfhsccew3PPPYeRI0d2WPbOO+/EzjvvjG9/+9uR9TvvvDMymQwaGhpwxBFHAJAZ6d566y1Mnz69W+O46KKLMHnyZFx11VWR9Zdffjl+/vOfbzAkU199F0qRIkWKFCk2Bmws4XInnXQSGhoa8MMf/hDf/e53K850++67766VcVVMMh144IF48MEHMWXKFDDGcNlll2GnnXbC7NmzMWbMmIoH8NFHH+HnP/855s2bh7a2Nnzta18zL7CAfPG98sorcfvtt2PlypXYbbfd8Lvf/Q7bbbddRf3wIpD7FAiqgcIgRYZkCSxg8Js4mJDEk+gvVLgcIZcN0NqeRWNbHp4n0C9XQM4LsKKxDhk/xMgBX6AUemhsyyMUHO2Bj6LwUJstoJ9fQEAcK1prUZctGPXT0KpmvN84EMPrVmFQrhXvNw1EtV/CZ201GJBrQ7Pw0B7I0xKGylScC6xqr8KWdV8gy0NwJhAIyYLr0LlPWvvhv2pX4otCNTI8RP+adnzeVgOPCXiKhNJETsaX2e88TvBzJWu0rSaeVXm5rqa6gJLg8FWYXEgMPpdhe26brqG3Gy5HxFAKPTlGv2RVS4zgQZNRilxizJBTcaIJcLPNWdUTh0xfzJxJtathcrPTMa48mgwjo8zYPcgU8CAVgqSUUm7onGBOOJzqiyOiQnKVQ4w7PAJs2JsWUbnrgOSwOWKWBI2TS3GhChANdTPZ5OKqpRiBRAzWayqmfnLJqlTRVDl0tjWDCEmYQC65ZKKTgVCWc2IptRLJUd/pesZwm9ly5rtul9kyHf0fNOHVJ8ECDsqInofSVZxSIkWnWEMlU3dwxhln4L777sMTTzyB2tpa46HUv39/VFXZJOaNjY14+OGH8Zvf/Kasjf79+2PSpEk4//zzMXjwYAwaNAgXXHABdthhB5NtriusWLECxx9/fNn6H/3oR/jVr37V/R1ay+jtd6EUKVKkSJEiRS9iI1EyzZ07F08++ST23HPPHtXvbS8mjYpJJgAYN25ct1IRd4WVK1dizz33xOjRozFv3jwMGTIES5cuxYABA0yZ6dOn47rrrsMf/vAHfO1rX8PVV1+NMWPG4O2330ZtbW23+yoNIJRqyaaq5zJVOFWH4Kt9iAwgcgSUGITw0NySQy4XoF9VAc2tOYABm9Y0oy3IoBR42LSf9EbK+gHymRKaCznU5doRCI6Ac3xRqMagXCvqsgUUhQefCRSFh2q/iP75NnzeVo2v9v8MNZkisjxEe+CD5wnFwENVpiRNur0QREB1poicLzPacSYzvQUAavwCsrwKea9kSJxi6KEkPPi8YMgjT63njNBe8lGbl6F2oZB9NClTcc4Ini8U2UNoK3kg8lGTLaIkuMkwp4kaAQaPOWQTj8rztNeSzhSn+3Chjb+5Mvp2ySOuVFLUyQ0vJ8pR8smYfhOz23V5MEAptyITdx06Z8LkrISEOIG5CiY1wdfiJyNw0kSOq1hR0NuJOuFpNBlldi6+s7YvxMvEyKBOQ4o7IJP0oSizAnLXETBrbKpiqhix66HD7UnqsQjh1EF78fXx889h/aAgr8UOVUz6Xgp7xijW/3k+ILoul2LDwi233AIA2HvvvSPrZ8yYgRNPPNF8f+CBB0BEOProoxPbuf766+H7Po444gi0tbVh3333xR/+8Ad4npdYPo69994bL7zwQpnf0Ysvvogf/OAH3d+hdYDeehdKkSJFihQpUqToCbbYYouKOJEk3HPPPbj11lvx7rvv4uWXX8aIESNwww03YOTIkTjooIN61OZ6/b152rRpGD58OGbMmIHvfve72HLLLbHvvvti6623BiBVTDfccAMuueQSHHroodh+++0xc+ZMtLa24r777quoL/IAr42BcgIiK2dAc0aNw5w9xuORw8aAhTJsjlUHyPUvoK5fO0ol+VI8oF8bqnJFrGqrQnMhh4wfIuOFWLZ6AELB0VaUsbGr2uWvvUPyzSgKDwIM1X5RZp2DJE1WtNZi69rPkPMDlISHTfIt4IxQl2tHe+ijKis9mnIZSV4NqGpDxguVgokgiCPLAwzKtiDHA2xW1Yj2MIMhVc3I8gB5P0BOmYJXZ4oIBUf/fBvq8u2ozhYxqLoVxcAzht/5TAnV+SL6V7ejFHjwPIGMH8LjhLqqAvpXt8uQNi7Mn+/Jv4wKxfM9uT5QRJYmknwmkOEhcp70oXIJpni2uYA4CiUfrcUsmgtZtAe+Icm07xQgSSDG9KeznQsj1tHG3oyTUaV5ngDnBMaFXM9JZthjBKjv4CRVQFyG3hGnchKHqbA0j0CeWtYqIhb9nuiNpL7H6yX5Juky8b/E7bqNWP+EhHG4XcUIiY3Q726dQIfNRZlAdE7GxMIiy68Tiq7Tnx5Fy3OysjqleCIC6l+fm9gtE7KOGXOlUKxk/Z/nS8IpxZqDrOy7kr9KfpGTqs/yP5dgAoBTTjkFra2t6N+/f2I7+XweN910Ez7//HO0trZi9uzZZdntOsPEiRPx85//HGeeeSbuvfde3HvvvTjzzDNx8cUX45BDDsGsWbPMX4oUKVKkSJEiRSLW8nsTAEydOhW77roramtrMWTIEBx88MF4++23Oyx/6qmngjGGG264IbK+UCjgrLPOwiabbIKamhpMnDgRH374YbfG8Jvf/AY///nP8f7771c2eIVbbrkF5513Hg444ACsWrXKeDANGDCgbJyVoFtKpoEDB3Y7vu+LL77oduezZs3CuHHjcPjhh2PRokXYYostcPrpp+Pkk08GIGMEV6xYgbGOciKXy2HUqFF46aWXcOqpp3a7r/v32Qf9+vVL3Fa/ZA4wnIFCmZEpDDwEIUc+V0J70YcQMhNbzpcHvRR4eP+zQRgyoAlfNFejX76IIJCG2I2FPFrzWQypasaqQhU+b6vB4KoW9POLKArpk7SyWIOv1X4Kn4dYVapCcymHzWsaUQx9LG+tRSg4+mUL4IzQFmTgMQE/I7CqUIVN8i0oChXqxkMMyLTC5yEC4aFEHP38IpqRBSBVQ9lMyYTfAXCMuiVB01zIwWNCejYByGelwbkuR8RQDHx4XICIGeWRRsYLI21rs2+uQuiyXmiMybXBpyBmTdJJejsVA1/5bBM8DuT8QCmZykPnoDyh9JPAbFdjdMOIyJmVM0bGs0kAADEwlYXODY8zMXDcKo+Ik1IiMasUEW68nIJ+QDFEw+a00bIuph9i2rwbkggtg+YHtNJI77WrQIqTRHE1VIJySbdpQvVScmntI4nBi5OLSf+5uefHVcmpaxRAOVnlhtgldC8VeMknfc4ePSSXoLynAmazKqbXVe9gHYTLbSg4/fTTAQA333wzbr755sRtANbIjLKnWFvvQl9G/Ls0JPK9KbTmtKHz+6ZraJtlgVn+NLC/yq4OrQEuAFTzoll2DcWrVUKUFN1DVeOG6R3mGsgDQMYxKN9Qx5ziy4GCsIbaYUyHsXDV9mb5sEGvm+UBzvPoY+dd7NPQhplnWPQlLXRejoqOiXgNt8+wdmcsrSKaEdb9nuc2m2neeYamwDoJl1u0aBHOOOMM7LrrrgiCAJdccgnGjh2Lv//972VZ2h5//HG8+uqr2HzzzcvaOffcczF79mw88MADGDx4MM4//3zU19dj8eLFXSrBd9llF7S3t2OrrbZCdXU1MplMZHtX7yM33XQTfv/73+Pggw/GtddeG2n3ggsu6OoQdIhukUwui/X555/j6quvxrhx40zml5dffhkLFizApZdeWlHn//73vw179t///d/4y1/+grPPPhu5XA7HH3+88YQYOnRopN7QoUM7ZOsKhQIKBXuTNjY2dm8wxMB87VcijbczfoiWT6vRf9Nm1OSKaCtl0NqWBeOEqnwJK1uqUZUroaWQBREwqF8rBuba8GlbDaoyJTQVcxha04RAcPg8RHsoD7fPQxSEjxAMVV4J/TIFtIcZcJBRA2lzb41VhTzqsgUIYiiEPrI8AISHjBei2ithlfBNaFre06F1BA5CSNEHpcel/xBjMiNdyBhKgYe6qnb4njDZ4zJeiGLggwhmneeQVC50mJte1solTTABUtmkvZf0HykWR/s1cRBCpfqKt+2GzrmhdMxlYWC/kzNOclga054x6FazdjXxNmFzEZ8nPa9X/zKY8DgTNmcGEFvvKlJiYU9lPk2IlY0RRoZjiKtXXCIpNo4yJJBNkbZSrF8khca5n+6yZmHdMp0p05SZuCy79hgI8siOLcWaYyMimeJZUTYkrK13oRQpUqRIkSJFL2MdkEzz50cV+zNmzMCQIUOwePFi7LXXXmb9Rx99hDPPPBMLFizAhAkTInVWr16NO++8E/fcc4/xr7z33nsxfPhwPPXUU12G5R999NH46KOPMGXKFAwdOrRHxt9JWXFzuRxaWloqastFt0imE044wSwfdthhuOqqq3DmmWeadWeffTZ++9vf4qmnnsLPfvazbncuhMAuu+yCKVOmAAB23HFH/N///R9uueWWiPFn/GDplHpJmDp1Kq688spujwEA5uwkfyWpf2MOGCdkMiHyWemLxHMhmpvyqMkV0dySQ3VVEe0FSTb5fojmtpz0FGKEnBeguZRFbbaA/zTXoTZbQGMxh0H5NjQW8xCQKh9NKOXAkOUBAuEh75XQHmYwtKYJnBFagwxaSlmpZiplwRhhQK4dAXE0FuUvglVeCSEYcjyAr34NrPYLCEpVkthiwmRn85hAhhMKoY/WYkYqlEoehOCoVeRS1g8hiCHjhYZUcokuTTYRAR5HJGSNQ4WgKYJJq5l8x6dJtyWIIVAKppIyMPdVn0QMOc/+KsBVeU36MAZwIvMrgDYD16QTYwQhWBnxVDahZgDnakyCpGoJjjk4s2omkFqniSth7cWhDMO1wokJGJNwptRLxo9J75AryWQO0cQTiCb3E7a8uz7uq5RIMjgklIukdXGkIXQdo/7P8zFnzwqyqFHssyu4xGQSWanXc+d6V9cqABM6Ks8zAYKtNXJpwivz1HUtlUyMAJHpgyzHBggj4+5BvRS9h7X1LpQiRYoUKVKk6F305N1pTd+bVq9eDQAYNGiQWSeEwHHHHYcLL7wwMXHZ4sWLUSqVIpFbm2++Obbffnu89NJLXZJML730El5++eWyjL/dxciRI/Hmm2+WGYDPmzcP2267bY/aBHpg/L1gwQJMmzatbP24ceNw8cUXV9TWZpttVjb4b37zm/jTn/4EABg2bBgAmW1ms802M2U++eSTMnWTxuTJk3HeeeeZ742Njd32g5izYz0O/edjyPgharMFrFhdJ1U52VBmT+OE9mIGuaxUGfleiBF1K9FSyuLmoSfg1OX3wOMC7aGPAfk2fNrcD5v2a8bnbdUYmG/Du6sGoSpTQlspg60Hfo53mwZheL9VGJJrwhelagSC4/P2apnJTXDk/RIaC3lUZ4vI8BDLGgdgUFUr8p70XQKAQHj4uL0O1V4RAXFwRlhVyKNfpghfjaU2U0BrkIHPBZoKPjiXXhueB4ShNAVnTBJIvhcaVVEoOEJiNkQMkASJCjuT/IsMofO4kOQSF+CwSibflYiqOXBA/P+z997xlhR1+v+7qrtPumnunTwwgYwEJQoqi4ABkCGou8jCooDLb/crYgBkl1UX3CUoi/nriq5fUEzoCigMiuiSZBXRAUWigISByeHGc8853V31+6M6VJ9zbmRgZph+Xq8zt0NVdXU4PVXPeT7PB5RRJhWdAD90oomwxonC62JyLAmXi4kkLVAIQiUyYXuJOkmL6PxSAsr0W8TdT/oi0JFZuYyIG52QS1pgfJrsVPGxKipWAcUqqHjSHwvhYnJJpk1izf9bItRioilue4wXXPziszPJxUhC6KL6iXjNPv1Y6WQtp423IZwmQUBt75gywTQZksm+5vYD066cTR4117XVgDp+Vl9GgikQCF+Y5ApaIAIBBc3SX//sJYXg5dj+cP/993PXXXexdu3aFmXT5z73uS3Uqyw251goR44cOXLkyLH1oDkSqlgsUiwWxyhtoLXmvPPO47DDDmOffdLwys985jO4rsuHPvShtvVWr15NoVCgt7c3s33u3LlJVNd42HPPPRkdHZ2w3Fj42Mc+xjnnnEOtVkNrzf3338/3v/99rrjiCr7xjW9Mu90pk0wzZ87kpptu4mMf+1hm+49//GNmzpw5pbbe9KY3tZhj/fnPf06YtJ122ol58+bxi1/8IpFxNRoN7r777raDO5jcQzAebtzznZz27A9wpGJGxygDokQYGlWQ54WEoZm9L+gZYONohf/oOzupW3ACNox0IIRmTucw87vNAxqbYc+sjOArJ1H+jPoeSktGo7jbauBR9403kSMVtcCjs1hntOFRx8UPTN1AG/IHgckkJxSDfikxBy85QZLRriCNOqkUZaczpBHJMWLiBsz6qO/RUTBKIhURTKESaWa0mAmRyngbaSfxZbIzyDVnlJMR2aS0TEy8Y6WT0iajnxMRVONBa0Ns+YFjFEwybSv+22wqbqPtfF1EfksiVn8Ywiv1dhLp5D2e9KtoUYJWsWJEZEidZD4vsuuxjVO76LiElGo58SZVUrsTs5cnIode6v4cU8LSe6dggN0cLjcWwZTsE02sJWOTSVpkssxtNlhElwwEKIF2MKRTYfMfLserF5dffjmf+MQn2GOPPVpk31OVgL+c2JxjoRw5cuTIkSPH1oNmgcrFF1/MJZdcMm6dD37wgzz00EPce++9ybbly5fzxS9+kQceeGDKY5jxIrdsfPrTn+b888/nsssuY999923xZOru7h63/plnnkkQBFx44YVUq1VOPfVUdthhB774xS9yyimnTKnPNqZMMn3qU5/i/e9/P3fddVfiQ3Dfffdx2223TZnt+uhHP8ob3/hGLr/8ck4++WTuv/9+vv71r/P1r38dMAPKj3zkI1x++eXstttu7Lbbblx++eVUKhVOPfXUqXZ90vjukvfwvhXfZ07HMCXXGKo9u3IWc2YPsnZND41CyFCxxLcWZlM4f3nOmfzNkzdQKTVYO9yJ6xgj6s5inUYYsGm0QmexjiMVzw70MqM0ysZ6mZLjEyiHiutT6jQhd4P1EjNKo1T9Ao3QhLXN6hxmfbUDR2gKMmRGYZQ/rF3Agu5BlBbUQpdOz2SzqwYegZYMNYoULX+nGaVR6qFL0Qmohy5136VSCGgELqO+MRkPlVFEhZHhueuYZSeanMYqJx0plWIyKiF3BImKSTaZ3UmhcIEGTmISrqSlUoraitVMtvl3I5T4ykFrkmsbRKRfHJIWk1tqjBm61sZfKfZailVPKjIB1/HBtEhMwIVOFUw2UYQCgoiUUk1qr0jNlPFmspVGFsskdJYj0NBKLLQhpuLtzWFzLeuQeOPo5vKiqVxzvRwvGUt/ZRFMU+F34odiDNIRaJXFtQsT1VbRuPzmJpoE4IAIImLJASLPM1EXuZrppcJWwU213jaGL37xi1xzzTUtWe22NmzOsdCrEX5TJouNlkF3VaXMs23irayX3bBlFN6MIZHu63GqyfL8kf+eXmdzvGIIu9P/B5zBn23BnuTI0Qo7EYG9DDAapu+tH2w4JFn+q54/J8sLvQ3J8pBKjb/nOQOZtvyxzL51Sg70WwkPmo2/HWtuZRt/zxy+kRwWpjN2isqvWLEiQ85MJGA599xzufnmm7nnnnvYcccdk+2/+tWvWLt2LYsWLUq2hWHI+eefzxe+8AWeffZZ5s2bR6PRYNOmTRk109q1a3njG984YZePOcZEVbzlLW/JnkpEUk0mScrZZ5/N2Wefzfr161FKMWfOnAnrTIQpk0xnnHEGr3nNa/jSl77EjTfeiNaavfbai//93//lkEMOmbgBCwcffDA33XQTF110Ef/2b//GTjvtxBe+8AVOO+20pMyFF17I6OgoH/jAB9i0aROHHHIIt99+O11dXeO0/NIRE0jvfOzHzOisIl3F+o2dVHpGUUryjR1Oa1tvdvcw/dUyUmoavktnqU5PoUYtdNmhy7xkGspBohMj71roUZABL46Yh3m4XqTs+fjKoR64hhgRmg0jHUip6SiZ9p4Z6mNO5zArB7vpKdfo8BqsqXbSWxyl4Bij8Q6vwWC9lISNVRseUmqqokB3sYZXNC837QgcabLMjfrmJWeHm8XZ5eJliU7UUGBC4BytEkVRoCQFN8iGy0UIwBibRwNKNzpubIweH9shOr6ARugkx46JJSF0omRSyiiuAIpeYCXdypJNyTlF1zQmi4RUiCjGTGsQDuhQpISQHSoXe0QJYcLSFOabJHSkahLI6PushUU4WUguSyyYintoiaesbqeLzdubCYjmsDeN8Zuyt1llMsRUsxoqx+ZBxj9JtCeCmmHfP/teNxGJrf5MbRjD5rA5q+7S5bey7MCsAeFUcdz9P036oNzovVCVaE+jBDg1gfIES+/+OcvePH5ceY722J48maSUvOlNb9rS3ZgQm3MslCNHjhw5cuTYvHgpnkzd3d0TKoDAEDnnnnsuN910E3fddRc77bRTZv/pp5+emHnHOProozn99NM588wzATjwwAPxPI9f/OIXnHzyyQCsWrWKhx9+mCuvvHLCPtx5552TObUJsXbtWp544gmEEAghmD179ktqb8okE8AhhxzCd7/73Zd04BhLly5l6dKlY+4XQnDJJZdMKFF7uaA1bNjUyYwZVQaGyhS8kIY/dvn/nGuMQd/95xspekESSjbcKFIqB9RCl+FGkQWdg6we6WJGcZT+sMSMQo3Z5RH66yU8GWbIJdcxXkf1wKHkBgzWSpQ7fWaWqgz7BcpegERTC1yC0MmEi434BYpOwFCjSKgkfuDgOgrP86kFHq4TMup7BKGks9hIjhmEEqUcPDcKhSP9phqD7fSc5Tjf4Hb7XBTSiZVLkgCZCa9rl1vImIwLK5xMoyJz8li5JC1SzDYEj/sc3087M15MYgkRq410a9gctA9dSsinNoyMplX5FBuC65TkEYoWwihZHaPpTNmxiKF2ZMRYsM8t5kDGO3aOSWPpPbaKKb1pGbKnmRhqlrYlZZqexbGIpua2mpuxJU2b6x7Hvm3RuamiRtYFuqRQRV5Ww/HtBtvJ5fvoRz/KV77ylUwmt60Vm3MslCNHjhw5cuTYzHiZx07nnHMO3/ve9/jJT35CV1dX4qHU09NDuVxm5syZLSH0nucxb9489thjj6Ts+9//fs4//3xmzpxJX18fF1xwAfvuu28LQdUOb37zm1/SOQwODnLOOefw/e9/P/HBdByH97znPXzlK1+hp6dnWu1OimQaHBycFJsXY2ho6GVXGr1S+PFeJ3Hc/T9FCM1P9j5x0vVu2P1dvPOxHwPGULsROjSUw4xCjTnlYVaOdKO0oBp4dBfq9DdKSahbI3QZaTiESlD2fIbrRqIXhA6i4OPJkPXVDsqez4ahDvo6q9QCj1CZbG0jfgFX1pBoPBkyWC8RKkmt7uG5IaM1j45ig43DFVwnpFQICCIFUxBKgtCExvmBQ913KRV8QiGScDQnyhwXZ5ZzLLPvOKtcQYbGx0qGLT5LCtNPhSDAPIRKCgo6NKbgcbkofE5ogZJmNiyjUDpfOUipQMnIhN0onGwCKV5uRzbFb53ImxslQaISU20dCpNtTlrMT5RdLmPenMnoBUKJlBxqE+5k+zTFBt0JqdOOzxqLBLDaaUc0tWyz1jMqJpHd1lI3x0uDbU6vs5uaOZeW666bCrcjOuP1MZ8TkYTG2Yq8hOUSmqXLbwUByw6YuqJp6e9+2v6YUUieOyIJOhRCCbQwoYPL/moKZuk5DLajcLkLLriA4447jl122YW99tqrxVvgxhu3XDjA9jwWypEjR44cObYpvIRwucniq1/9KgBHHHFEZvu11147pbD/z3/+87iuy8knn8zo6Chvectb+OY3v4njOBPWveeee8bdf/jhh4+7/+///u/5wx/+wK233sob3vAGhBD8+te/5sMf/jBnn302P/zhDyd9HjYmRTL19vayatWqScfn7bDDDvzhD39g5513nlantjYIX7b4L00GN73mJE58+OZIGeSgyoLhoEApIlIqXoOqX0CKNHROCk0jcPCieKu67yYG3Z4b0j9SxnUUJc9noFqm4AWMNAoUnJBQSxypqIcum+omFrjmezhC0wglBS+g7rsUCgHVhkfoO8zoGEUKTa3hUmu4ONIop2p1D9cNceI5rjAhaQqB66mEYBKRibnnGFLJlYqSE1ByDBnmirBFzRQoc35+FDYIClcIcMDVsUG4SP4qBK4y52WIJ3NNQiWRUiWhcV7Un9ikvFnVBJayKjovFbFGQgmUEJGSS6GERGudeC3FGfZEZPidxLi1Q9NLLQmHi0LrWoimpqZS3xzGftm1Uyg1k0TN4XE0rY+lchJt6lg48fbb+YmVZjNHK5be/fMML2RDtPtPz1a9IaxMgpbkyVYD2eqlzMODpbBrj0SFaJfRsPSBW4HJk01Lf3+rOZgSiSIvCQMVJNkVZUPijgj8boX2NEvvvY1lh+VE01SwPYXLnXvuudx5550ceeSRzJw5c6sy+97ex0JTge0nAjAYpv4kdSs0fn6lP1le1ZiRlvdT36Vur5Zpy7H0zraHyWTwYsfJmfUdRqY3eM4xNrye7PigZvlzDdreMp0nJYu9wz8es72aSp+X8pilcuR46XhbmGYvfaj8/sy+F2ozkuV1tdRj7rHCgmTZ9qKzPZ1KIvWeA2jo9tPvdEYDA9Y7NLS2Azjaegeqqb0Dtye8lHC5yULrqQ+0nn322ZZtpVKJL3/5y3z5y1+ecnvNBBeQGTtN5Ml066238vOf/5zDDjss2Xb00UfzX//1X4nf03QwKZJJa803vvENOjs7Jy4M+P448WTbIKaUprwJXV2GxNm9bw0rhmaw36wX2NToYE55BFeGVIMCJcdcr/5GmUBJuks1BmtmgCWiyaTSgoIT4pSMN1K1UUApYcgRJWlIh4IXUnJC+kpVnt3UR0exQcnzGW14CKHT7HSBgyM1xVKDodEiXeU6QkC97iKlTrLoCakpF320jhRMrsqogjJEU/RxpcKVYaJgkpG3UowQgRQKpR2kUMiIRIJshjhIlUxKiyjULMAPHUKp0KEkhCS8z/aHUm3IJdHmrWGfS3wIBWbCL1VWpaTiEDKRlM9MfeyJ+2QmRU0hTm3bG1ehQqpQssq1I5jibmm7zEuct514++2Zdm5+69s54X9u5+a35OQTWP9JtSGT2hKH1j20REZNN4102Q6pm0poY0xAxfWaCM/JtmMIpug7ITWEMqu0ij6qqJENQzBJX7QNhc2Rw8Z1113HDTfcwHHHvTSvsJcD2/tYKEeOHDly5MixdWHTpk2Zdd/3efDBB/nkJz/JZZddNmH9mTNntg2J6+npyRiRTxWTIpkWLVrEf/3Xf0260Xnz5rVI3LdXfGfxewD4p41fZ3ZlmD9u2AFHKhZ3bWLF8Aw8GVJzXJ7d0MeOvf1sHDXMddnzcYViY7ViyBIZhamhCRFoDQXPhLl1lWuE2oS5NUKHVcPdVAoNRuoFOgp1Oot1Qm38mJQWeF6I4yiC0KU+6hGGEs8LUaFECEWj4eI4Rj3V8E1mu4IXGAIqUlg5UWicEJqCE1JyAhMiF4XJmfC5EM9SMiktCLWD0pIw8mOKEWeXAyjIINkeKPOrQKAlgZC4UuE5IfXQpaBCwihcTmsTCqfHkt/QnmiK4UijahJaozAEW6xeUkqglUSFoEMQEqNwiifr45FK0cQ9mb/Hy20m9NqepEdl7RCrdstxuaT+GOqktpnkxutDG1iJypK+xSF9J/zy9pdMXL3qMBaZNF75MULp0jIW8WnXiZVvyT6bsYpWpY7UUOkBtIr91SziaQIsXX6ref5jWMva0WhXI0JB/EOdKhilYLLd2QblNVsa21G4XF9fH7vsssuW7kZb5GOhHDly5MiRYxvBKxAutzWgHUH0tre9jWKxyEc/+lGWL18+bv1PfOITnHfeeVx33XXMnz8fgNWrV/Oxj32MT37yk9Pu16RIpnayrhxTw2f6/j8+uv7/0T9SZsnMjTy2YS6zO4aRQrNmuIvZ3cNU/QKjdTMgDUJJ2Qvw3JCR0SIdZZMFruZ7NCLz7jh7XSN0Ek+iWNlTKTcouCHrhzuZ1TnM7I5hRgoFRn2PoWqJRsPFdUOEhDCU+DUXHUpUIHGLASAIQ4njKPMd1QJPBiZszmIiClGYXKJkinyYXBnixEomi2Ry0CiholiabMrimFyyM9LFBuEykiPGf5VOvZ6EFoRKjvliGItcavFvUhKFMOccEzpaIKUgDEFrmYbOjWn4LbL9sOb6meik5ibahT5hhc6Rhh8l25tJgekQTFMkhjKG1ZAlnnIkuOUIk0Xt+Dt/PrWKTc9Bu2emrXdTm7rJ7iTVotWoaipkPTsmbM6QTsv2T5MyLH3g1uQYQoCOsiYmfVSmk05NoB0QQbQ/NIomLUCXFNrVLP2NSV297A1pOuscY2N7Cpe75JJLuPjii7n22mupVCoTV3gFkY+FcuTIkSNHjm0Dr0S43NaM2bNn88QTT0xY7qtf/SpPPfUUixcvZtGiRQA8//zzFItF1q1bx9e+9rWk7AMPPDDp408ru1yO6UFFBNBgvYTSgsF6Ca0Fdd9lh64B1ox0RaSG8UXylaTs+QmZYrK6aQTgOiGOZwyw/cCh6Ia4jiFn6r7LxrBCqRAwr3uQF/t7mNs9xOBoiRmVUWoNj0bDJQwlWoFwQLqaMGJWYqIKwHNDag0vIZZsxVEcnpaGuUVkE+l6DInCk+ArQEuUlhmyKi7bLhudOaZ1nIi8UlGoHpGSabJoJzyKs84l2iqR3i+tNap5Um6Vmy7SkKi0nZawuWYuazLHm2IYla2AaktitGt/jL7kIXObGU33MDHvbmcI3g6CJp+ktO5kvjNLH1zGsv2XsvSBZekxo++CkKDDVFkllEAExuCbiEcWCsKSCZlTFYXwRRReJ9CFPHhu0tiOlExf+tKXePrpp5k7dy5LlixpUQJNZYCTI0eOHDly5NhOsZ0omR566KHMutaaVatW8elPf5rXve51E9Y/6aSTXpZ+5STTK4gvzj6Lc/W1VFwfpQUj9QK1hsfimRvZWKvQW67SUagz0iiiNXQUGvSWRnl6dGZCRjlSoZSg4buJeslzQxqhQ8kLGBotUvSMIkhpwerBbjpLDQZqZbpKdTaNVFBKML9vgP5qmaoyIWYqFEhHUSz7UfhZRCpJQ+TEhJLrhAShk80iJ1WSTU5GH1vFJNs4sXgyZCQo0FAugZJU3EYLwRQTVkoLXBmCggDZUm6sEDmdTKaF5d00lqoJQGdNwsmqtoSwCJmxVECRJ1M8wbZVJtqe8Meb24S42eol0Vy26VCtx7cULzK7raVB0XR8+9iWwirtTlOcnk43tYT65QDgliNfoqLJgm0MnoZqNpUXTcsqe8+EEujmxpufjVieFt3fpQ8sS3dqi5xq+qulBhdEmD4U2olM9YtGPZU8k25Kjh13/0+59fXvmPCSbNfYjkiml2uwk+OVhW2AC2TGAaH1n45dbmOjI1m2zb59lTW97fbSkPqCCJgI9xf+MVmu1udl9u0wYe0ck8GGzncly42gNXQjhs8YmZIsE/BmbFSpB9pQxynJ8qKR6yffwRw5pojX1v5fZn1d10eS5Xv93ZLlnz63V7J84pLUYLnLSd9hC70NmbZGLAN829S7JFIfv5JMl9f42e9URaZG4nZbOZqwnZBM++23H0KIFhPyQw89lGuuuWbC+hdffPHL0q+cZHqF8eU5Z/J3z/0ARxqCKAwkz63vAwFDhSILe/rxlcP8yhAlx+fRjXMpugEFN4QyhMr4LtUaJtNaX2c1IUZsZZGvTOhcuVRnw2AHPR2jNAKHmR0jbBots26w04TauS5+w0U6mkqlzshwEa8U4DrmRak1dJQa+IGDEKmSKdAyk93AjULkvCR0Lt1nZ0uIw+rQUHKM75RyRIbMictlljWJUXjSBimRFPsxxf5MMbGUaddSYEmpW46jIq8rm2hSKuvzJIRGo82XWaTEk4jJJQFIkPa4NyaMmv7aBE8LgWR3OZrs2+KVpNkxVCzxZD5DLtmERHP4XFxMp8cUZI/ZNtzOJpqi45zwy9u5+a25msnGtMkmaFEzJfciJpBktF8xxvNg3aDm/fG6EuCopgfPOj7ttouEzIxNyrXAeC8pEOjo+2AdW0YPVmiSFhz3258ico+mCbE9hcu9XIOdVwOeffZZ/v3f/5077riD1atXs2DBAv7u7/6Oj3/84xQKhaTc888/zznnnMMdd9xBuVzm1FNP5aqrrsqUyZEjR44cOV7N2F7C5Z555pnMupSS2bNnUyqVxqgxNoaHh1Eqq4jo7u6eVr9ykmkLoLNoFEWhkhQKxnfJDxwqBZ8hv0ioJL2FKs+N9NJRaDAwWqKzWGfDSAeuY8y253QNUws8PBkm5tuDdfMwVRsmvCBUxijbcVSievKVySxX8IIk/K5Q9PF9h7rvIhxN0HDRXojrhCZrm1AUimGGxHKFwpWqbXib00QDS1SGaHLQuCIEHJChMfeeIEQrVjW1O15MJDUTVTHhFIfHtVNKNUOIVKkRtzfZ903bUDeskLjxGmomcJr2tUsuNlFf2rY9znEzPlHtCKWoUEIetCMtJhmit73iliOPHpdoGjNc0b7fMfsXPwRjkkt2/TYPjRYIJ8qiGIXaZmR0yYFTFVMc6mbvTp7viEwSEYEUnw8iel6ciGyKzMcTA/Caw9LfGzPxXNGUA6C/v58f/ehHPP3003zsYx+jr6+PBx54gLlz57LDDtuv9uTxxx9HKcXXvvY1dt11Vx5++GHOPvtsRkZGuOqqqwCTqvi4445j9uzZ3HvvvWzYsIH3ve99aK2nlRo5R44cOXLkyLH1YvHixS+p/jPPPMMHP/hB7rrrLmq1VIGntRFVhGE4Tu2xkZNMWwBXz3sv71vxfQaGysyf2c+K9b14XkhXsUZ3oc5go8jTQzPxlcOL63rZed46nlk7k7m9Q/ihgxSadcOddBQbrBnsSkLA5nYP0QhdRhseQmh6O6qM+h6VUoOBaonucp2RRoH5XYOsH+nAkZrOksk8FyqJIxVOQUWeUCFKScJQGnNvJ33ACm5A0Q0oOalRtwlrk8hIwpMx/I4IplALs02GSK2QWjMaGkLM9p2aCK5USKUTVZXWhlCLEYe+OVK1qJBixNno2hFNZv8YMh8iJikJVxItuzOEUrQs7Mm4FaaWCb/D2o9FOLTpynhcTnMmOtM5a79s3Rb3v+3x2oVkTbYzOVohQKj2ZNKEfljQSvol901ny2CVa+cgLq1tseeYjCol9UWqkopM7W0iNvZ5EqEAJZJwUB0RSrHCyZiNR/0NQHtRnVCgiwpRc3JF03iYjuQ7rreN4aGHHuKtb30rPT09PPvss5x99tn09fVx00038dxzz3Hddddt6S5uMRxzzDEcc8wxyfrOO+/ME088wVe/+tWEZLr99tt59NFHWbFiBQsWLADgs5/9LGeccQaXXXbZtH+RzJEjR44cObYpTGfstA2OmwDuv/9+7rrrLtauXduiRPrc5z43bt3TTjsNgGuuuYa5c+cixsuaPgVMi2T61a9+xde+9jWefvppfvSjH7HDDjvw7W9/m5122onDDjtss3Ts1Y5vLfxb3vnYjxlqFNl57nqUFswqjbC62kUt8AiVpKNQRyvwQ4dKucHG4QrFQoAnQ4pewHCtgNKCkhcYQkgboqi3o8pwvchwvUjJDVBa0FFsMLM8gisV60c76CzWE4JlpFFkwYwBqn6B4VoBP3BwpMJzDbEkhWbU9yi5AaEWFJyUSJJCG78kjM9SDNuLSSFxRYgbPbOugEA7qFDiCQUSaqFHoBxcGaIQFERossrFRJU1+84ahsdhc+BE/lExYRVG5uJ2prhmNKuf4lA7u14iHBEapEAojY4n32CxS4z9cmqZ9LchmGzY+8doa0xCIuYIrPptPZkYe19L23b43BhqJluFk4fMjY1bjkjVTO2US+Oar1vXOvY4Sv2wLBVSizJOgNTGNwmMaXdMAGH9VVH4XWY9ZpbiOiTkFhpEII3HUmg9H7YwKvqOChWF00UElHY1Qpq+UFTbpkb5lcJ2RDKdd955nHHGGVx55ZV0dXUl24899lhOPfXULdizVmwNY6GBgQH6+vqS9d/85jfss88+CcEEcPTRR1Ov11m+fDlHHnnkK9KvHDly5MiRY4tiOyGZLr/8cj7xiU+wxx57tJBEkyGMHnroIZYvX84ee+yxWfs1ZZLphhtu4PTTT+e0007jwQcfpF6vAzA0NMTll1/OT3/6083awVczyqUGw6NFgtBIS/qKo2ysVnCkxg8c5nYM4XiKWuCxQ88Az27oo95wUa4gCKUJgQsc6pFyaf1QB93lOrXAGIQXpEqWtRa8ONRDb7lKxWvQXTDlBholfCVxlEOgZETUhNR9FwiQUhMqgURnSKRmBZCb2ZeSSxKFROGgMoSRwph5+1riYJNJEilUC6mkMMRPkuUuCp0zpuQaF6Omsn2jHBQgQcRkks4QTQmJJLLrYxmJiybyRiSKJtEaKtccdWRhzHAoe/tE7wSb4NFN26w+ttSZqC+TIDfG67/tzZRjHAgTVpaQPhMRh1GdFs9uK1QuJnhS8y8yf7WjjdrIVWgVPcxxCFvUgFZRZsn4RickVFPfIyWWsPcJzNfNb9/XWNmkpQBPmX6EIn1UtGDpA7ey7IDjxrkI2ye2J0+m3/3ud5l0uTF22GEHVq9evQV61B5bw1jo6aef5stf/jKf/exnk22rV69m7ty5mXK9vb0UCoUxr1+9Xk/6DzA4OPiS+9Yla5n1AVFJlnco9ifLaxupsmrXytpk2RPpmCJs+g/FbvvQxlcn7EtVpV5UtmFujqnjsfL7kmWlLUN2y+y70WT6XteetS+ddtim7fZ96ZDpswhZY+OhMD2OX/m7ZHmX6ncm1f8cOaaLtwRfSJZf7PhUsvy7P+ySLK9bkJrUd5XT99RfGnMybdnvt/4wfTfaxt82ZFPWoKJlCv76xtUTdX27xfbiyfTFL36Ra665hjPOOGNa9Q8++GBWrFix2UkmOXGRLC699FKuvvpq/uu//iuTWviNb3xjnlp4ivjeTiejtWBoqEzZCxgOzEBoeLRIyfNZP2oyrYzUCxQi76VQyShLGriO8Vua0TFKuejTWWpQC1y6SzVKboDnhPSWq5TcgN5ylc5inYFamXro4gpFyQ3YoWOQOR3DRgFVrtJZqlMq+BTcENdRFJzQkDiRF5TnhFRcn5ITIIVOzLsdoSnIICGLQi2QKIoyoOI0KMoAT4TmI8MknM4TKlI5qYQcspElm2QSTmcUVApPhhTcgFJkjl5wjWm5IxWO1DjC9DvuV7sMc1qnBFNcRkbkVVw++UgV1TdvLi1JvkU6NmAeQ6WUmbM3K01sQmCyBE1zneaPfcymNnVzH61+T+jnZCtZcrTF8Xf9nOPvGt/kW0ud+Q9wQq+tCa53GpIZq5CiOkKbLG9BtN2X5vGVGDVU9IGIOE3I1uz3ws4qlzzHMjpoklEOdPP/Kvbz5aYnHB8zaVdOV66zHUC/hM82hlKp1JbkeOKJJ5g9e/YW6FF7bM6x0CWXXIIQYtzP73//+0ydlStXcswxx/A3f/M3/P3f/31mX7tfLmNvhXa44oor6OnpST4LFy6cUv9z5MiRI0eOrQ7bybhJSsmb3vSmadf/xje+wWc+8xm+9a1vsXz5ch566KHMZ7qYspLpiSee4PDDD2/Z3t3dTX9//7Q7sr3ixj3eyYkP34zrhIz4BcpegBCwaahCd2cNIVPipbPUoOa7BKHDjMooQugo65um7PmMNArIiIjyQxPyFpMr3YU6G2oOhchb6bnBXnrLVRZ3bEQKRcX1eXHI/ELkSUW5MppkrCu7hjEvyDR8zhh/G3LIkyEFGVCUQRIm54mYSIqXUxa+rjyjMhIQSmGUUlF7kPoz2cono1xKs8shAQUlNyBQkkCYbHqx4kkKbfyQhUBqTYjIesk0oZ13k9amjoj8ZEIRrUsQMkoEH5kdayeeY0cHsUgYLSPFSUQmZUgfiwyyVULtlC0ZAqINSWWrqcYKj2tLIE2CWMoIZCZQM42FE/7ndusY6cncfNTRY1faRnHLEUePSzLdcsTRLL3751g/Zk2oZmq2VUpXoj8yKuTGKiSrbuyHpDRx3KNOlrGeBd3CdulAIFzzHWjuj44rxv5OkuT5T57J5udFAEog6xJdVFBQTTtzNGN7UjKdeOKJ/Nu//Rs//OEPAfMOf/755/nnf/5n3v3ud2/h3qXYnGOhD37wg5xyyinjllmyZEmyvHLlSo488kje8IY38PWvfz1Tbt68efz2t7/NbNu0aRO+77conGJcdNFFnHfeecn64OBgTjTlyJEjR45tGtuLkumjH/0oX/nKV/jCF74wrfrr1q3j6aef5swzz0y2CSFeeePv+fPn89RTT2UGPAD33nsvO++887Q6sT3j7JXfQYU9FJ2A1/au5M4Xd6PecNFa4AcOpYJP3XepBl5i6K2UYLheoOiGhEoYMkQqyp7PqO/hRGFyRGbYM4qjbKqVAfCVRIQOrhMy1CgyVCzRW6gy4JfpKtaohy4Sja8c/NBhRnGUEd8orAoFQxwVZEjJMcSTJ0PcSKHkCJM1Lg6NcyJDcCkUDobo8ZWbht4pIjVTSCAcAmtWPJYhd7xdYpRMKhS4Uda7QEmkHt88vDk0LrtPt6xLDMmVKKAEIHTkaSMM2aSEWZcg0CAFqGjSH2WF15JsWFH01558T9n0OeloU5Ex1FBjEUxjtTWp/ozVpyZkCKa48W3xTT4F3HLEJMizSV6HyVwqoUC7QGDdDDeqGGV0i32bkrA10YZoittrJmXblbH3K5EahBOpnLRofe6iX4q0GxG0vkxD59RkH7ocr1ZcddVVvOMd72DOnDmMjo7y5je/mdWrV/OGN7yByy67bEt3L8HmHAvNmjWLWbNmTarsiy++yJFHHsmBBx7Itddei5RZ6WB8nVatWsX8+fMBYwZeLBY58MAD27ZZLBYpFott9+XIkSNHjhw5tl5ccMEFHHfcceyyyy7stddeGXU1wI033jhu/bPOOov999+f73//+1vW+Psf/uEf+PCHP8w111yDEIKVK1fym9/8hgsuuIB//dd/3Syd2p7wXwv+DhbAmSu+xwvVXnbp3cAfX1iA64WUCz5Do0W6yzVKTkC54FMPHBb1bWKwXmKkXmBhbz8bqxV6yyaGfU5lmIZyGGkUcKSiHrooLegtjdJfLzGjNAoYZZMrFCtHupEdxiy702sQKEl3oY7SgqFGkWrgUfZ8JJqSE1Bwgii0zYTCSaETBVNR+BlyyYnKORZ5VIriiH3tRH5PEiT4OqSIIGwJl5NJGJ0xGo/UTloRKAccQy6pCb4QMWFk2hQtZJOUWYJLJSFDGqFFpHRSUaY8RagdJAqlHYRrGCXTlgAHQEMYraspcCrjhE7Z5FFbNVGzIqm5rlVuLLPxlrLxrrFUNG3qm0LG/HtMJIQHnHDHzzPt3nLkq0/Z1A7L3nx0cu42hLLkP7GqTljbM4VJ9gMmYxsRweNgiJ+YHIr/xmWVUSLFHk2xEbiQ2YdLCCCMiFSVtpV5RrWwDMK1KRfXt5uLw+ocDb5EWyom4Usohyx9cBnL9l86lUv56sd0JdzbII/b3d3Nvffeyx133MEDDzyAUooDDjiAt771rVu6axlsibHQypUrOeKII1i0aBFXXXUV69atS/bNmzcPgLe//e3stddenH766fzHf/wHGzdu5IILLuDss8/OM8vlyJEjR47tB9MZO22D46Zzzz2XO++8kyOPPJKZM2dOmSR67rnnuPnmm9l11103a7+mTDJdeOGFDAwMcOSRR1Kr1Tj88MMpFotccMEFfPCDH9ysnduesGP3AIGWPNPfR3dnDT9w8JyQfeauZsXQDJ7r72V+9yAlJ+CFoR5CJZnbNcRwo8jufetYXe2i4IQUZMiwX6DghBSdgJ5ijVroUpAhM4o1NtXKdBXqzCyOEGpBxTVmi4vKG3mhNoNur0Yt9OjyagRaUpAhg40inV4DV4Z0uTU8oSg6QZI9TkZqJJtcMtsNwWSMvGWy7FumkF6URc4TYeJt5KDxI2OX2Icp1CJjMqkQSEdD6LYQTFoLQpVmlouVTbFSybHC4WyPJ1vJZJcBY34OEiGMmbh2FEoIhFYmZMhNyQCDyAxcaoQyk38dyzabX2C2nFOk+9sqksbb1wZtjb2b1UoThcu1C3eyyY6x+tHmnFrWLbJJRBtPuOPnmeNt7aTT0rt/zrI3b8Y+2gRT9Ncoj9r8z2eFMCKayqjW4nadtCIIR6P96Ptlhc4JoudWkCGOsrGd0XoYEU1Y29FpSF1cL/4aF5RRAoaRyqoSmu+C0Bz/h1sAuGW/48c4ie0M2xHJdN111/Ge97yHo446iqOOOirZ3mg0uP7663nve9+7BXuXYkuMhW6//XaeeuopnnrqKXbcccfMPh39YuI4Drfeeisf+MAHeNOb3kS5XObUU0/lqquueln6NBZWNWZk1vv9ctvl2YXhZNkeG9gh9rZJLsCSQkqu0d4nNwPbVDo3yZ067nI/lCyHfm+yPByWkuVOJzU5Vk3GfENWOfselyzz4lnu0JjHt398DC0r2XVBmn1yF3LkeOUwHKbKT292+uwHTfObGLZ5ffO+ukpVJ1XSJAWlMYzxAQ73vzydbm9/2E5Ipuuuu44bbriB446bXuKco446ij/+8Y9bnmQCuOyyy/j4xz/Oo48+ilKKvfbai87Ozokr5hgT/97zf7h48D/Zd9YqAPobZaTQDAcFRn2XkhdQD1x26tzAquFuCp5P1S/QV6qysW4yEwRKMhwU2KNnLX/csEPiT1RxfRrKoRH5NFUDj3W1Tmqhy/69LwCwwe9gp/IGnhiZSy10qbiCGYXRpH8Vt0GHawy8Ox2jmvJkSBgNJprVS0CGYIKUdFJo4hzn8YBDCo1H+tL1iDPKqDgOjeysWbZ9EdihcjbBlNZKKylBJhwu3meHCSlBxpvJeCVrhDTLOvZk0sYE3JABRJNly7MGnapKbH4mJgeaM7hPRi00DlqUUOOEx7X1b8q4UaenMPYBGDtsrg2plmkzWU7bHNP3aSvEsjdH/ko69VqaDOm09O6fI5tNuGLYBlhYfM4410VLjVBWeFpGfoZF7jUppQQm65zXxErp9HvQEjbXVC65h2FEuAZWfGgSZpqtGz9aQkYhc4Ww6Rlsf57bIybJKbett63hzDPP5JhjjmHOnGw2nqGhIc4888ythmSCV34sdMYZZ0wqe8yiRYtYtmzZy9aPHDly5MiRY2vHdMZO2+K4qa+vj112mT7Vfvzxx/PRj36UP/3pT+y7774t4XYnnHDCtNqdFskEUKlUOOigg6ZbPUcbfKr7A3xq8CsM+kU2jVYYqZuQt5kdI6zq72HU9RjpLHLQnOd5dNM8fGUImlnFERrKZU5xiMGgxHPDfbx+9nPUlcuaWjcSTU9hlHW1TipResxASUpOwPpGJwONMgvK/Tw2PI/X9zzLi41enhmZyYLSAKtr3fQVR/AiUmg0LNDrVSlK36iX0PjasciiVL0Uw2SVSzPPFfFNOJ4qJcbgQPLNjsPjfO2YkDihCCPCLCaszFnIKITOfLQWiUm6ilRKsaG3yTKX9XpySE3Vm5VMcT1jbhxn5ZForZMvjRIi8jiWKCKFk4jIpYioirN1aWVMl3XKrxm/Gp3OwROiqekN19Y8eRIYT+2UUTBZyqQWzqMdU9VUthmTCq3LdMZq3upA3M7xd5qQsq1d0dTuXCcinGLlUeYyt3F7n8gUHBGFytlklCabPzQJl9OJ6kmEwhBDYMzrI48xtCF/WojDsR5GlR4bTWoETlP92Jw8bkZFBG5CcJkvTK5gasJ2pGQaKwvaCy+8QE9Pzxbo0fjIx0I5cuTIkSPHVojtRMl0ySWXcPHFF3PttddSqVSmXP8f//EfAfi3f/u3ln0vu/H3u971rkk3OJG5VI7xcXH3OQD8/YvfZXbnMIGWlNwApQS9HVUUgsf653Lo7Gf53YZFVFyf3TrW4muH329aRF+xypzyEC9Ue9mpYz2Vjg08N9IHwNzSEENBMSFqZhaNTH1xx8ZEjuxrhyXFdYRRCFtMytSVS9lpsKA4gCMUFdmISCaFIxQjqoivnchDKSWYbD8mZU1MQ2RmH5A5XqJAknF2OVBIwoiAas2TbpRGLiYcz5BOZu5r9pFk2xMRKQVGjSWFph6mXwWlhUUyRcbqGqQMTehepGoKI2N1FZqOKpSZmUfkjYi8mMxEOgoT0rH3DQgjtTJp5CNVVUw0NauLMoTRWKFn9r52ZISlWjKZyMiwG/YxdJtjCSturi3Z0WZbW1+pqN2W8xyHbNLCkE1bI9G09G5DggmNyShnXYfxCKZEARV7dsUPa7O6K4Z1LVp4nvH+UxSY56zpGUoIzYKK1qOdkfdTEh6nRJRFsfXAqdAtVi1FO5q/nsL6Mkbt6PieO9pS2pl2jv/jLdzyupxoiiF063dpsvW2Fey///4IIRBC8Ja3vAXXTd/JYRjyzDPPcMwxx2zBHuZjoRw5cuTIkWNbwXTGTtvSuCnGl770JZ5++mnmzp3LkiVLWpRIDzzwwLj1lRrLX+OlYVIkk/3rodaam266iZ6enuTXu+XLl9Pf3z+lAViO8fGNHU4D4KwXvscL1TKdlTqrNxnTTkco6srlr2Y/zSODC5jlDfHA0GIWVvoZ8Mvs0bGGF0Qvs7xh1vrdHDzjWZ6tzWTVaA+dbp3BoMD88gCBcphdGCJEsqY2gz0617DW72bP8kqWlNbzRHUevYUR6spldnGYeugyHBZRSBMfHGWVA+iQdWrKo6qLCXkUNrEOdix9onxCJ6FysWm4J0JqysMjRCEttZEJnVMIHMuc225HQZIJTgiB1DpRMNkEk8QsuxHxFCiVEEuRV3fULpFGKfKB0hqkQutURaWlBhXJlhIyKZ5LWxNqJZK4IxEZLZt5dhTmJFNFU7vwNpuQaRfNNhHR0BIWZyuS2qmeMiFW2Trjhm2JsV/SGU+qZpKkmdhqEvRsjURTTDDB1JVmdt20kab1NixdTPbFHlbNZJOwyiYPWdx2/BzapBERERqrj6RGBCLL42qrzahf2dC8Nn23j6mbjhmTjC6plA+SDI7NmR5zvPpx0kknAfCHP/yBo48+OhN2VigUWLJkCe9+97u3UO8M8rFQjhw5cuTIkWNrQjx+2hyo1WqUSqWJC04CkyKZrr322mT5n/7pnzj55JO5+uqrcRxDFIRhyAc+8IE8c8nLgGt2PJV/WPVtaoHLgt4BPCdkXnmIJaX1iSKprjxerPbQ6TbYqWM9Dw4sZG5pkDvX705fscqGRgWlJYsqG1Fa0uXV2NSo0OONsimo0O3WmF8aoKY89iyvpCIbhuQRIZ1unQ1+B/MK/XgipEPWM4Z1XdL4No2oIlLqZJ+vHWweNUSmoW7aicLfZKJY8qQhrIrSN+VkREQpcB0Zhb9JQm1MuGVE1kihkMIQPq5UqQpJpmF3plxKMDlCJeRSrGgqOCFBpEwyio5IpRQvCZ0oPWIyKhSxOktFGeXMZN0YGRtWR4tIJaKEMWbVhsHSyiidDAMGxKF0oZicVFOnfxOuoJ3aqY0SypyezpBLLaF1mracU3Qp2hBWTWXbEU1jkEfNu5MyOlrYin2aYjXSVBErmEzYGmkIZYuCzCKCRFQuJmxocz2a1+OMdPH1jAnMiGjSUoMvjfF3HLomQLsR0eRGCqQ2Fz6jdrOVV/ZPR7YqDdK+uNryeUrJV41R/WktOOFPN3PzvtOLA3/VYTqS77jeNoKLL74YgCVLlvCe97xnwkHO97//fU444QQ6Ojpeie4B+VhoKvhbmZXdf0GnxuNxqD/A40PzkuXAYrYLMh1nLK5syLT1luALU+pLbvb90tBlmXrbZtu2GXFVpYbFtpExwECQGr2vr6fkcYdbT5aLldQE3BHZX9WbTY9jDIVpu7Y5+RHBl9qWz5Fjc2E0TJ/xWT3DbcvYUR3N3wnPSd9vNWufbYbf41ST5fwdNk1MZ+y0DY2bYsTjp+kiDEMuv/xyrr76atasWcOf//xndt55Zz75yU+yZMkS3v/+90+r3daYowlwzTXXcMEFFySDKjDZTM477zyuueaaaXUix/j42vzT+dbCv+XQ2c8yUCvzZP9sHBQLvE3s2/0iNe3S7dVZUO5nNCywR9ca1tS62bN7DcN+kW63xu4da5jpjTC7MIQnQhZXNlKUAZ4ImesNUlcuJelTFD6+dlhY2MhRPY8xHBbxhGKuO8BAUGFlo5eNQSeeCJnhVPFEmCiUvCgTQqxSCpH42s0omEJEQjD52iHUEkcoitJPfJ5kpGYy2wLTLxngRsqppEwU6uZGpFFBhrhS4TmhIa1kaJadEEcqXKEiY/LUx0miExWUTTzJNm8ZKTSOVDhS4UlzfEcqpNRIqXEchXQU0tUIRxtFiKsQrjYhSZ5GewrtaYj+KlejXY3yNNoFVdBoL/q47T+GHIiEKlHYWzI2j1+ozaRS9HdcgskmmqI2M/vsY7WrE1e1VFbZHa1lx4RFotkNCW3UTLFP05bG0ntua2HTJmP6HY89RCiQvkjJxebHLgqnBOswE1zDJAwNDBmlonY02WNogQhk4t8U2+Do5uPECqcxdMfpsxfLkcboZyS70wJ0KBK/MuMJJTLlRaR2OvHhm8c/2e0JehqfbRDve9/7JvUr2j/8wz+wZs2aV6BH7ZGPhXLkyJEjR46tHNvBuOml4rLLLuOb3/wmV155JYVC+oPBvvvuyze+8Y1ptztlkikIAh577LGW7Y899tjLFtOXw2BVrYd6YLLEeSJkXdDFjgWjTqq4dVbXeihGZt4zClWer/bRUA5FGTAUllhQ2ERJ+nS7NZQWzCkM0enUqarUzLskfZ6qzUWi8ERgtjsB64Nuo06SAVKohEjytUNNeXTIOo7QCQkErWlsY1NwIMlKFyuNHHT0UQmJ5KAzWetiz6ZWgihLDmVC46Lj2aSRbDNRngocqZJwHtvfiUgFQhyuJ80HGU3OpSGfhGNIIhwNjlGTaIlRlcTkjgTtWMsySyjFZW20M/puURxhrTcTTLQvm5BTNJUdh+ywiSab5BoPbW/LOHW2JrIJGDtGcIyiiQdTM9o1o0SanXDMRtt0xyIHW8o1kYFaG4VdTGolxuDtyK0mqVpyb2N1lE10xWWiZz3zI7UW5nsQWo3byihyoglSfm86n1crtN6yJ5ePhXLkyJEjR46tF6/mcVNfXx/r168HoLe3l76+vjE/E+G6667j61//Oqeddlrmh7PXvva1PP7449Pu45Szy5155pmcddZZPPXUUxx66KEA3HfffXz605/mzDPPnHZHckyMhnJYuugRfO1w16Y9eEvfY1RVgflePz1dVTYGncz1BhjwKsz1Bvj90E4sLG3E1w7Pjc7kT+GOHNL1F55rzMQTIb52qDgN1ja62Lm8LvFVGlUF1gQ9LPQ28PqOp/lLfQ4DYYU+d4QQkRBL63QXngipyDol6eNoQxINqfRXaGPwbUggBwUCPB1QxRiFI0mIooo00mkZkU2hkEitEtVTTDYpLQhwUELhyhAUKKFSylSZzG/RYirEsAmhJkgrPizOTKe0SMy9E2iBjsJ5lDUTFlEslxAaKUnKxLKS2Oxba2HCkhxhwuakKSNC0GEUOjUGmy6i+iTm4DoKgTJEQBxO1kJdNJFCCVnVol7S2TpxYzEZ0a7Npv61bozOuw3RZIe/ta1rkxtNRuBJEUGGaHql/ZqWHZ4aES+957ZJqZiOv+vnqcn2eP+Z2Wou+x5qkg3CYorsTHU6zuJm+3vF2eI0htixwu4SnyYwKrxAgGvqx2SYVtbNamIME1JRWl5NwnqWtVFtxRtFRGgJBboRhanKqIIgNcuPcOIjP+Ene584zsV6lWO6v7BtI4OlbRH5WChHjhw5cuTYijGdsdM2Mm76/Oc/T1eXCV/+whe+8JLaevHFF9l1111btiul8H2/TY3JYcok01VXXcW8efP4/Oc/z6pVqwCYP38+F154Ieeff/6U2rrkkkv41Kc+ldk2d+5cVq9eDcAZZ5zBt771rcz+Qw45hPvuu2+q3X5VYFZhhD3LK3m6PhdXKO7etAfvnLWcEVXk4ZGdKDs+CwqbeF35Oa5ZfTgzi8OJifabep7kgeHFPFLdgdd3/oVHawuohkXme8Zr6cV6L73eCAAHdDxLqAWP1nZkn9IKdiuu5kW/zxBNzggl6SfZ6JyIPOoPO+iSo9S0F203oWlxOFxMEAF4OkzC7GJFVEn4STmPkBpeNAsFZX3jlXZohht5N0gtDaWlRZqlTqceL80EU6ZcRCrFxFL8N1TSZKmLZuoSjcL4PiktUFFZbU26jel4HHZkqT3iibiSqFAYHycpITSEkZCmkiGn4kpWE5FxuCAyDU98fCx2aYyXo44UVvHkX9vqlnh7E0SG5WnXaJtjZBtoX71JQdO2brvjCCKPoXZ9zBJOW8Ic3Cac2mHpPbeBFshYtWNfvzFIRUh4SmuHXS99Vlq4Hy0iwkm31o09mWyCUVvLnkYHMiKjrGNBZFKftpn5WjXdSC0war6YDLXvnUVaCSclu2IOLdkWKQO3Z0z317Xt/LK9rNicY6HtDcNBMVluhOn/6cN+oV3xTGZaAHLLq1cUIyq9X741BhsI0+32PSrKIFN/lpd61tienmvq6Y3c5I/trdbOvqC5L8/X01/rj5jyzCZHjonxA/3JZLnspM/rnEr6fHe5qX+ZQ6polU0+Y7aHmf2Dtf39yH2YXjqmM3baVsZN73vf+9ouTwd77703v/rVr1i8eHFm+3//93+z//77T7vdKb+KpZRceOGFXHjhhQwODgK8JJPLvffem1/+8pfJui3TAjjmmGMyZpt2rOD2hlHlUZI+871+/LKDFJqS9PnlwN4MBSXe1P0kf67NZ4/CKnbtWEtdewyEZXqcUUrCZ0lpA6saPYRaRF5MA1RknWfqs5lfGEiURP1hhQ5ZN2FxODgoZruDDIQVPBHga4f+sIInQkrCp8OtUw0LhFogUUgrClNGL0xDICkcoaO/JuTOfgmHkQNyrGRCSELryx5qSajNERLjcC2RQqEQBMpJyCJISaR4PVQyM1k12ehEMoCJSaa4bKgkoU4JJYD49a8jVZEhmOKN0d+IFMhMjK3oIhVdI60wmeqQhpSKi4ZxI9n2Eh4pCmNKEnUJUn+bqWIMggmsiKh2EilbXWOfu93nMY85zb62VTu1l0Idf9fPueWIrScLHWBIH4XVVzHudWg+tUw4ZDP/N849TPZnlnXmmdTxTqmziqW4fFM/Y6IpeTS0CYfLHDPpBFkSVEeG4la/k+x2WiCkikJNs82887EfI4Tmxj3f2f5kc+R4BbG5x0I5cuTIkSNHjhzTgVKKp556irVr17aE7B9++OFt65x11ll88Ytf5OKLL+b000/nxRdfRCnFjTfeyBNPPMF1113HsmXLpt2nl8T3b44Bleu6zJs3b8z9xWJx3P3bE46a8RjdcpRvrnkTs0oj/P2cu/m/q97Ka7pWMeSX+HNtPruXVnHPyJ7sXl7NiCrSIevc1b8HXlfAAm8TPU4VR2j6nBGeb8wE4MCOZxgKy7zQ6KPi1OlzRuiSo1RknVBLnvVns1thNbPcQTaGnfQ5wygtqWuJIxUl0aBL1giR1JSXKJZkRCDFaifjs2QMsxWShnaMMbgW+No8ir52IFJBESmIElIpCtXzlUwIpUBLlHIIlJNkppGRKsMmmCD6tUCbLG9KGKNvwKiltCBQhsQKlSQIzXIQSrQWhG38c7SlYMr80moRMEKY6buw1BhaC8JQo5RAhYZYM1m1oroStIpCl2IfnmgmH2eg004UlgQWcTEes0NyrlqSVbHQpmqz2sgOU5uIcJoMxiOoJkI7VY8WCKxz0oZoinYlYWxJJjihJ1QebS4s/dVthnSMOtdkZ5RRIjVvy5BKIgovk037mzLNJVZoEZHUQkS1+5kmZouUiDLNYUgePyKELKIp7r8IRXKsJFQvCZVrklXZxJowmeuSfruR2kkCGIKp2QTcZL0zKr93PXETQmhu2H07ShM/Hcl3XG+SuOKKK7jxxht5/PHHKZfLvPGNb+Qzn/kMe+yxR6bcY489xj/90z9x9913o5Ri77335oc//CGLFi0C4IgjjuDuu+/O1HnPe97D9ddfP40T2DaQk0s5cuTIkSPHVobpjJ22ESWTjfvuu49TTz2V5557rsWvUghBGIZt633rW9/i05/+NMcffzw/+MEPuPzyyxFC8K//+q8ccMAB3HLLLbztbW+bdr+mTDLttNNOCDH2jPIvf/nLlNp78sknWbBgAcVikUMOOYTLL7+cnXfeOdl/1113MWfOHGbMmMGb3/xmLrvsMubMmTPVbr8qEGrBPUN78saZf6HXHeHWwf1YUO7PpL9c5G1kl8Javrjy7fz9vLtZ1r8fu1bWUZI+G8JOFnob8LVDh6xzYOUZ1gQ9+NrFEwGvKb+YGG+vC7rpkHUQRvJZ0x47eJuY4w7yot9nCCgk87wB1gbdDIQVZrtDzHSHGQyNJ5MTTSw9ESTtOkLhRXogTzj4OqShHRytjbIpCrGL5aNxZjqlJb4yoXC+dqgr8+gWZMCwX8qkPo4zzimRhsAFStIssbAVT0oLQi3xQ2Os3vBdQpWGw7UnNtJNuqltYXk8GZ8mnRiGKyWT8vbLQMfp6bWOCCeR+i7Fks947h6aWb/AIpqaoJsIBh0TTCLdlwmXsivaRMh4hFPmgjR3oGl3WyWSVWaskLDxMAmCS0SEU7PCZuk9tzUVNH+W/dXmI5+W3h35L9mitpg0tMilZs+qpKst9SKiyb63Vr2kPdl0sVvuhbngtjd/3A8dPUs6FODohNTEatP+P0zItE7aUavBzHW31VER0TTWs9SGDLPVgX/95xv50XZCNL0S4XJ3330355xzDgcffDBBEPDxj3+ct7/97Tz66KN0dJjQgKeffprDDjuM97///XzqU5+ip6eHxx57rCUb3Nlnn82//Vuawr5cLjMZhGHIvffey2tf+1p6e3vHLbt48WI8zxu3zMuJzT0WypEjR44cOXJsPryaw+Vs/OM//iMHHXQQt956K/Pnzx93bGLDnoMeffTRHH305o0AmTLJ9JGPfCSz7vs+Dz74ILfddhsf+9jHptTWIYccwnXXXcfuu+/OmjVruPTSS3njG9/II488wsyZMzn22GP5m7/5GxYvXswzzzzDJz/5SY466iiWL19OsVhs22a9XqderyfrsYx9W8fTlb9DhRU63RqvKz/PLwb2IVAO3e4oALt1rOU15Rf55dDe7FRchxTGgFtpydpGF/O9fma7gzhCUVVFVvq9hAh2LqwlRFISihBJf9hBh6wnJI9CJsqkWBnlCRNvXxI+I6pINfqMqEYm7jjUgkISLmc8mezwOAeFH/1VmNC8dggxBFAYBeMpbRRMrlBUgyK10DzGsTJJRiolYxCeqpu01pEySpj5svUmsT2YgtB8lDYm3ToKiYuJoXb+MNryfoqVF/a+eCadaUOI5G9ieBxXikydYkJCKx1RSljhTulBWsRF7QiImFiKs9jF7cT7EiJCRwRXk0BqrBdvGyPoljbbrdvbxiKLpqOSsuvGx2jZ1yQnssos/dVtm4VoWnrPbanBdztE554JexyPiGvq54SwG2yul6icYmZJpNvtMlqkWebcSEkXP0f2I2idS7vzS5puZs/ibYKMS3/cbqr+Mw0KaSkCgZOf+hEAP9z1rzn5qR/xw13/egoXaBvCK6Bkuu22LOl67bXXMmfOHJYvX55IrT/+8Y/zjne8gyuvvDIpZ/8oFKNSqUxLgew4DkcffTSPPfbYhCTTww8/POX2Nyc251goR44cOXLkyLGZsZ0omZ588kl+9KMftTXvngiTJaSmgymTTB/+8Ifbbv/KV77C73//+ym1deyxxybL++67L294wxvYZZdd+Na3vsV5553He97znmT/Pvvsw0EHHcTixYu59dZbede72v+CfcUVV7SYiW/r+HP5dNCC/rDCQFBhpd/LC9Vedulcx+Fdj/PfG17P3h0r+Z/+vfCE4nE1n50r67m9fx9e3/UMf6ruyMbQ/BI9FJYpSZ8+d5gRVeQvjTnsUVxFSfhROJpLlzOKJwI8EdIfKZQKIkCiqWmPee4A/arCGr8nURr1ucN0yDor/V5mu0OAIZlCZDSRDBOiqCCCtucpI7eiZqhI2RRoh3roEmiHRuhSQzDYKBIoSckNcKMsdnGmOIXA1YZsagiHBiZkKVFKKQkRMZWEySmJHzj4voNWMlV1RMqThESSrZP3OORNA0pFE+Uoy5dSAq1lYgieklJRZi1HR+ohHWWgixqNyaZ4wh5NyqPgMKNsMSebkhVxCFM8eY98l7RDlEYeY+gco5lEigk4mzTQIsMPtERCZYyDLNhtj0UitVtuV6Zd/ebDteO74ms2Bhc2UZsTIQ6HS48XEYmJPMlSLwmdNcC2fmWJlUpZwm9yfWhn+t3CWCXkpLXbYoBsMjL+P0fr6DmIDMBTUimhPM2ywHg5WQSr1mSUStoqn14jzHdJpRdEa4EOjUIqNv/WSiLdVO6rlUA2EVKQJZ1eVXgFSKZmDAwMACTpb5VS3HrrrVx44YUcffTRPPjgg+y0005cdNFFnHTSSZm63/3ud/nOd77D3LlzOfbYY7n44ouTLCgTYd999+Uvf/kLO+200/Q7/wpgc46Ftgd8pHRBsvypxleS5Vml1DS3cwxl2sc7P/TydSzHhDjc/3Ky/H31r8lyXaf3S1o/IHbK1PwY4HiVktL2b4nfKV2SLD8/mhp3PzWSjVaouOkPxzML1WTZV1kFe44cLyeerc5su31GYTRZtk3vbRPvgbCSqRNaMvKKbCTLbws/95L7mcPCdkIyHXLIITz11FPTIpl23333CYmmjRs3Tqtfmy0Hw7HHHstFF12UMemeKjo6Oth333158skn2+6fP38+ixcvHnM/wEUXXcR5552XrA8ODrJw4cJp92lL45nKqYTaSxRBgXZY4/ewU8d6nqv2sbo8g7mFQdb43SwsbWJFrZfZTqpE2sHbiF92eHB4EQd1PUtFNpjtDPJEfT6z3SGWFEZNmBgOJeEz2zHKL0caZVO3U8MTQapiwoS8DYVlepxqEmpX18aUvM8ZTjLPGZ+lAEcYwqmBR0n4NLSbqKPAhMTFZFVMACXKJZ1u95Wkrlx8ZUzPq75nwuAw2UdigikebMSZ4AKM6klJEzbnq2z2OdtXKckYF8gMsUSkpIBsqJAdEpeoO4hznkWTZxmJNKJtaaicQAVR/12dEFRxqJ222QZL2aQhalBEKeqj2b/U6UQ+7ltMHkQ+TImHj61iajkZsmRHRCJpRFulTVapMg6TsyVf3M1E0xgqpmlDkBAl4451bQPssRRizWRTc9np9LdNnRYlm70veqQSQ3qb9LJZMfsRldl7n2RYbGInhYpUUSoiZuPvgwIhBUKoiISN+yLSY0FiEm7IXGPmH5NL8CokmOAlh8s1K3qLxeKYamAw5OJ5553HYYcdxj777APA2rVrGR4e5tOf/jSXXnopn/nMZ7jtttt417vexZ133smb3/xmAE477TR22mkn5s2bx8MPP8xFF13EH//4R37xi19Mqs+XXXYZF1xwAf/+7//OgQcemITqxdja/Y82x1goR44cOXLkyPHSsL2Ey5177rmcf/75rF69mn333bfFSuC1r33tmHVj64OXA5uNZPrRj36U/OI5XdTrdR577DH+6q/+qu3+DRs2sGLFCubPnz9mGxMNnrclPF35O3apfo/nO07h0doOeCJkSXEdfxheRIdTp6FcHhtdwLHdD/FkYy7/O7ArZcfnfzfszEG9z7OgOMDqYAbzvAHmFQfpDyusC7r4s5rH/pXnGFFFVjRm4gjFAm9TRCCZ7G8+DmjwhPkFyZMhPg6e8I2ayevHQdEfdhjD79CjP2Lq1/g9dDo1ZjjmF6dGlGa2oR184VIShrW3zb9rykMhaFgG4EpLY/QdferKxdeS4aDIsF8gUDIJjSs4IQUZtBBNSpvwuEaYPupKh6maSYuEaNKRUijhkxToMFJi6TSLnJCkHkwCQKOjGbEQOgr5EYbwEWby7TiKMBNDB0oJHC+0N6UeS7ECJJqkJ8SWSCfvgli1JNJfB5vJk0i1gqNRjvlrjJxblUciOfnkxNLFiGlIzslWPcWLySUZQ9XUjAle5M02US0Ey1TJlokImpdCNsUEGxFx0uSRlREWqabL345MGk/NlOV2yN4QizyK224i1ZrJJRGv22yhRexkFE9NptxoDIGp7Q1NJx4TfJGhvY6+E0ICkU+ZjpRyybKlUhKREjAM0uyQMr4AEbFle6L99Z9vTEV5Srw6stG9RCVT8w8tF198MZdccsmY1T74wQ/y0EMPce+99ybb4mwlJ554Ih/96EcB2G+//fj1r3/N1VdfnZBMZ599dlJnn332YbfdduOggw7igQce4IADDpiwy8ccY0JVTzjhhMyva1rrcQ0stxZsjrFQjhw5cuTIkeMlYjtRMr373e8GTLa4GEKISY2bTjnllJfN63rKJNP+++/fMvBbvXo169at4z//8z+n1NYFF1zA8ccfz6JFi1i7di2XXnopg4ODvO9972N4eJhLLrmEd7/73cyfP59nn32Wf/mXf2HWrFm8852vgknDFOCgmOsOsMrvZSgsMbcwSIjk8L4/s6oxg5LwAXht54t0OaM8MzyThwZ2YEnHRu5etysH9q1gh+ImOmSdovBZ5ffyl/ocepwqM5wqQ6rEisZMupwaXXLUGH5jlEAFERIicDDG3KE2WdeMSbemEZmI9ziCqiria4eKrONHiquKrCeqJV+7KBSekDiYujXlUdceNeWZTHMIlDbZ5MCEyoVaJibdQWT+HSuYCk5IyQmouA0KMkjMxmXTWyJej8mnemB8ncKoHR2RUXGZRMGhRGLIndjXWGSAyEzkiciq1DcmLqeEyIT1xKSRVhIRhewJobNEUxyyFoXWJaoqNEKacDmTYS4mpLIEUKJgEinBhKOTECTTj7gwWQIplkyJuKEIcT+iE8vwH9Zxx1U1TfIFnrEUSrs5fTKoXT3RtF3AsjdNzY9p2V8dkwmZa7Y1ArInI1PCMg49TLoQLyiy5NNE59G8zz6v+KLFGQVj8ijeH4d+ZszCm8jKJBRCIKTKGt1nrl8sN7JWkz5phAOZiFgl0CJtU0fZ7cAomxTSIncNASXtELzoujbzXrZaMAesWLEiowAa74eYc889l5tvvpl77rmHHXfcMdk+a9YsXNdlr732ypR/zWtekyGjmnHAAQfgeR5PPvnkpEimO++8c8IyWwM251goR44cOXLkyJFjOnjmmWemVe/l9GOCaZBMJ554YqZTUkpmz57NEUccwZ577jmltl544QX+9m//lvXr1zN79mwOPfRQ7rvvPhYvXszo6Ch/+tOfuO666+jv72f+/PkceeSR/OAHP5i0t8O2jl2q3wFMOJkjNDXl0eeOACZjW49TZWHHBn5d3Y2BsMzK2gxmF4bYoTLAhnoHrgzpK45SVy7z3AEeHt2RHrdKj1NlIKywMexgIKxQVQV63RGjHkLiEVLVhcRPKSaJjEG3yHgqFUTIkCpTUx6eCPG1Q0n69IeVzHpdewk5BYCs42s3IZiGlMlO5CtLcRRNHY3qKOvVFJt8u0IlH0/Ext9ZGYnSRvFkf7KkTZppDiJyJ3Ip1hF5EzdphEtpmnYdrQtr8o5NEkGGHIoRT6jRRuHRDHuuLqwQu1jpkYTIZSbxaZ1kXWSJhYTQiPoW++rEGpyM4XemQ3HHk4swdllo3Z49/Umj2Y960r5KzRiLYJqozDQwtoF30w1qFv1Ez4GICaa4T1M992Y1W5t7mTyvdrl2N6jdfRfxE56SjWk5m10i9WRqZoEs4ikmZ4UwBGhCNgkdff/i8zAXNjYBN4cZ56HScNNrThp7/zYEobVRGk6jHpgQs4nCzLTWnHvuudx0003cddddLZ5IhUKBgw8+mCeeeCKz/c9//jOLFy8es91HHnkE3/fHVSDbiBVRWzs251goR44cOXLkyLF5MZ2x03TGWlsa443BxoN+mc91yiTTeBL7qeL6668fc1+5XObnP//5ZjvW1oTHyu/jNaPfmnT5RSPX0196P68pvwgYA7k/Di/ClSGeCDmw41kAejtHuGfj7swsjLCospFZ3jBzZgyitOTB6mKUFjw+Mp8dS5vocYxRXYig1x1BaYGvHTYEnZS8BiURJEbcsaqoIhqGhBJB4sU00xnG1y79qsKKRh8laTLODQQVupwaQ2GJgbBCUfp4IqQkfDYGndSkh68dhlSJaliMQuGcyBdJ4sowUSVBavBYdAJqoUdBGumfK5W5DjI0ddBIoVIvpyjuzZMhSouEgFKW0kFpgcT4RglhqR+iyXhMJNnhSyIioWLiRlvrseF3otBAmNC7NiyGkBahpFM1UwLbwyepZNpP/Jjifsg0G50pFxNM8Scmz7Am/SnZpKM6Y6qa2sVtAeN5NYlYqpM56abziTdrWgiahJd5KQTQeARTk9JmumhWM2XO0X52xuhXUk0bskloUvEQtCeYrH7H9zlr/h2ViRRKMdmYIUQt4ihpdgyfpmR/rHjSWQLUVrgRq+sE6Zeo5b5HGxNVUrSqBNJRbY8vhDbqP0clIaNxSxnVkubVpWJqp2ibbL1J4pxzzuF73/seP/nJT+jq6mL16tUA9PT0UC6XAfjYxz7Ge97zHg4//HCOPPJIbrvtNm655RbuuusuAJ5++mm++93v8o53vINZs2bx6KOPcv7557P//vvzpje9acxjP/TQQ+yzzz5IKXnooYfG7ed43gKvJDbnWGh7w8Xd52zpLuSYJnq9kWT5mPCz7Qup9pub8XfykmT5vwqXJcuDQSlTbn2tM1leO5r+yKys/yT+o+9scuR4OTG3NJQsPzk0O1mO5yMAJekny8mP6rT++G3ve4f6j83azxwWpjN22kY4pptvvpljjz0Wz/O4+eabxy17wgkntN0e2yC8XJgyyeQ4DqtWrWqJ39uwYQNz5szZ6v0Stgb42mV58f9Lwtw8Sxm0++i3M2X/XD4dT4SEYYV1QS8dss5z9VmECPzQY1ZpmC5nlDXVxawY7WVNtZOK06DsNFjbMP8ZDwYlFpc3Ug0LzPBG8ZWDLx2kUCZcLiyzuLAOR2hKIiWYIM4YkhJLkM2KEPc/1AJPhJHxtwlvGwjKVJwG1bCAFIq1jW6KMqDPHeGFRh9Ki0jhJBgNPUbDQkQEaUMaRWbnKjEDFwl5FCNVMoUUo3C5hBzTApQJ64u9mnyrvitMNrpQSfwoDE9HKicpNTr6EIXLZV48NhEV/U0IJ1K1UEzWNKs5TIY6ojAhEpPleF+agS4Vh2QMyMNoud1EWtikgiGfWsLCkrJx30y2sDQUsEmpZJMRLceMTMHT1db+tCPLst1tWbbXJ+QL7HO2z228upmyKbGy9Dc/Y9kbjm1bZTy0EE3jISFgyJRPMgMCOCQZ55rPIVkf6542XQcdkU0JwZR8DdpnSswohOztUkcqI2u7FXJpq7QSwilhg4RVx2rY5oZigikpY+2Lnne3EJjvhv29iOrG5bRqIw/chmHzw1OtN1l89atfBeCII47IbL/22ms544wzAHjnO9/J1VdfzRVXXMGHPvQh9thjD2644QYOO+wwwKid/ud//ocvfvGLDA8Ps3DhQo477jguvvhiHMdhLOy3336sXr2aOXPmsN9++yVeAi3nsxV5MuVjoRw5cuTIkWPrxXTGTi/h9+ZXFCeddFIybmrO8GtjS46bpkwyjSWtqtfrFAqFl9yh7QE1ZVzfPRlQ0wU8TEhcQbR/CGraY447yPqgm/6wgiMUnU6dWd4wxYg1HwmKuEIRhA7PDPWx2u2iu1Cnt1ClKANeqPUytzCIr82xhsISjlBUwyI9bpX+sIMuZ5SSiNU/MiGaQgRSy4QM87VrzMG1S0M7dMsaQ6pMnzvMuqCbLqfG/EI/Dw0vZEGpn7r2qDYKdDp1PBGyMehICCZfmRC6QDs0lEOgHNzoV4GwKVZUWd5MMRmVZJITGkfohJiKUlVB1JbUIlH/KBkmZJVCEAiThS6MMlU5UhNYE3IhhVGDxGnWbcIo+ToYtiDZHJrjCQnomIRpnczHHjP2pL6ZXMpOtiNVVEwwNbH0MSk0puplAmSO29SmTUi1kEbCyj43BpnU0p8pvMinHCbXTDCNQZq0q7PZ0fY+jnP8pmuoJSaETjeVi4u3u9fxNtuHqfk4toJJ0Bp6lpCeTZsTJZNIyMm023piBVHzL0s6IpcKqS+TUwiTzIst56sEYeAgncg0vA25FIfZnfCnm7l53/a/4GxTeAWUTJOVTZ911lkZc0kbCxcu5O677578QSM888wzzJ49O1neFpCPhXLkyJEjR46tGK9iJZOtQnq5FUnTxaRJpi996UuAYcS+8Y1v0NmZylfDMOSee+7JfQgmiTiL2kq/l9luKr+MPZhsOEKze/VbPFZ+H4sL63iqPi+jJNqv9DzP+rNYXF7PilofO3QNsGG0QsX1WVPtpBE6zCoNU3Z8VtZ76HZrFGWAQuBr4/GktGR90EVJ+mwIu6iqAkXh42uXHbyNgCGmOkQ9MeduaJMNTqJZG3YRask8Z4BuOcqfagsZDkvsVFnHcCR7rsgGdeWChFFVoB66Zh3wtaShXPMJHVwtE7IpVhvZUlMpNAUnjDLLpWFyrjDhg0AyMbW9lnztoBxJNfSQQuEqFyk0jTD9hV2EDloLwsgvyZgPg9YSEZKqh2ziIJn8i2SCL8yNNhNvSaQmiSflZnIfK5jSg8d/dOJRY4cioSOCKRSIUBjSS2FSwo/xUtQW4TCuoscmj5K+pOu2ckZokqxe6YHSY7QLd0vC5toQKc2+S3Z7GRVNXDZDeKUVx1b7NJF7LX/1xNdosoj6E1Mv5v63YcjGIwGt/sW3ZSwlmrZUSLFayazrdFts9N2kaIvXRbMReOzXFYfWxZvt66hJMjIi4uxwqRdZ7KmUKJo0JDfMPo+IIBKOjggi0xcVShxPoULzrpOOSsktMFkZNfg1NzmX2OMMQXp84Pg/3GKulRYs239p60XcBvBKKJm2JGw/gel6C7xSyMdCOXLkyJEjx9aPV7OSaVvApEmmz3/+84D59e7qq6/OSN8LhQJLlizh6quv3vw9fBXi0MZXucv9kCE4tGOMvccIYt+l+h2e7ziFUkQszfUG6HOH6XGqrAu62RB28NjoAtbUuyg7vjHAdoz/UNn1caVifa2ThR2b6G9UcIRmNCwwuzBESfqs9zvpcUeZ7/VTVQWGwjK+dpLMc/1hB1Io5jhDDKkSJREQaskKfyYLvQ08XFvI4sI6FIJ7RvZkrjfA60rP88faIgaCClJoivisaXTT5dbwQ4d+v8ywX0oUS1LoJGtcwQkJlEQJQaAckCYznEsc0ywpyCCpW5ABRRlkvJY8GabZ5YQxLpdC4SsXhcAVhpSqC2XaFm6qiIrqKdufSUQWAzIy61aRskSls2WhRJbUEIAQiAB0pISKQ4wSg2dr0ixkqoJS0XTdVoTomGBSEcEUkUyJIflYL8WxdthqrPHQjjGy99nEke3RlK62ttVsgN2ub2P0c1KKJkHrvYi2Z4gl0vW2iqfpwlIhJR5Zuml/vDO+fubRbi0nDNHZ0q3MuVgEk/U38WCSzfWs584imNIsh02EEmTug4w8oHQokE5EJOlI2RGHqcU+UCp6ltsRTfErT1r3yLp+YWASD7iFEKWyvl9Bw0ErgWo4hpeKMic2E5BG5ZQ2vvSBWwHNsgO2TbJpe8Kjjz7K888/T6PRyGwfy1vglUI+FsqRI0eOHDlybGlcd911kyr33ve+92XuSXtMmmSKJexHHnkkN954I729vS9bp7YH+NoFbciMimxkzOJsPN9xCg6KmvYoSR+Jokv6OKiEmNq1tIbR0GMkLFKQAVJohv0CFdcnUJK+YpUhv8SwX6Dk+PQWqgyHRTqpU3EaxigbQaglFWlC2jpkHU8ElKSPhyF0YpWQQjCkSvg4dDmjJgsdxqvphUYfngjZubCW+/1dqCsXpQV93ggrRnuZUxyiv1EBIAhN1jdXpJnigITwgTgznDmuIzSOCBNvJhlllLPD5mI4GeWTwkGjhAIt8YRRP4UI3MjvydUyMe8LtMSTIdqB0DEp1HUokpA3M1cW6WQ2YijirGA6E+skEMpMsnVMNDXFigmhI06qiYSJoLVA+9LUTRRNkyCYpgKbGBGk3kyJYquNEqe5zDhtNiuckv2YMmOTZJPr/oSYCsH0Uo451vWwr1c7yDHKtbl+qZn7JG68Xc5i/oRNvpGWSQimWO0Uq+lEuiwickzEmeMy5aJ9cX1HoxWRSX1ElmptCNpEeWWdR0Re4ZjN0lWEocRx0u+z1gLlO+Y74GhTXoBNXgqpUl+mUKQKr+ggS5ffyrIDj5v4+m0taLpMU6q3jeEvf/kL73znO/nTn/6U8WaKM7ltaa+jfCyUY3vGmGbfLxFnex9Pln9kLQOUnXR8vGq0J1kuOe3Hza8UfiL+OVk+UX96C/YkxysB17I02aHSnyx71nY70qSmvTHb+msuG3Nfjs2I6YydtqFx0xlnnEFnZyeu644Zwi+E2GIk05TdUe+88858ULUZ8Lbwc4B5CQ2pElXV3sNh0cj17DDyQ2P+rSUz3WFD/Igw8UBaF3TR7dYYDT327XoRVxhvk4Yyv7DGKp+SEzDsF9lQ70z+0/ZESF15jKgi64Mu1gdd1LSXKKxCLVkZmPvtEVKRDeY5Q+xcWMtQWKZL1qiqIl2ylvRrXdDFQ6OLeE15JXXl0utVGQxKNJTLxkZHQixJoSk5ftLPQEsCLVsIozjkTUYhcUUZUHYaFCNFkyeymehCbXyefO1EJuQmQ54UCkcovKiN+FN2fEqOT8kNKDkBZdenXPApewHFgk+hEOAWQ5xCiCyECFeBp9CuMt+gpv4KBSIJaSMimkgJoijUyIaUKvFmktaEX4WGYAIzNxdKQBgdQ1lhc9qW77wEjEVcTERoZAUjbdFWXdSOYLLb0U0fe/tESBRlTduiYySXLNbTRmWbPYjGwnH3/Yzj7vtZm+OaNrUwqjVjvK4jxY71SfrYvI3ouYmW43BLVxsVnEzbN8o43apiio6VGHRbz2mqXorN51Oze3tfTN66TojnhjhS4bkhUmocx3x/E7WVFibrm3UexiPJ7BNSIxzLZDy+FpbiMBPGp9N+xQST1gKlBH7VS++/Sgkt+zlJvl/K2qfi78rk7u/WhObHZCqfbQ0f/vCH2WmnnVizZg2VSoVHHnmEe+65h4MOOijJYrc1IB8L5ciRI0eOHFsvXu3jpte85jUUCgXe+973cvfdd7Np06aWz8aNG7dY/yalZDrvvPP493//dzo6OjjvvPPGLfu5z31us3Rse0CXM8rKRi89rsnwNh52qn6PZyqnAiSG3DMdQzLNdQf5Y30hw36R32zamUP6nuVPgzvgypDBRom1o11UA48DZ76ARLGu0clo6NHrVRkIygwGJVbXu1lc3sDqeg89ThVfuzhaUxAhM5wqNe1SEY1EPTVDVimIgP6wg5ry8JyQTqfGcFhik9/BC7VeVte72bm8nh6nytMjs5NMc0GkMJBC018vU3H9xMg7RqpqUi2kkxQaJ5opNu8PkaAVSjtJWV87ERGVqiEcDNmkpCGCClKYPiTtmmx0QmgajsJ1FH5gQvrCQBI2HBM+h2GJteXXlMx5m0ONtPlVvoXDEOBIjZSGHAwApR1UnEFORkqRMK0pNCQe5/FmO1V91G7y9+V6a8ZEg01wCW2ZlosMl9BO0ZTxZGruZlaAAm0OZ7dhh4klxEUbcitTBotYaurc0t/fmiwvOyirfLn10GM57rc/zWxb9qZjWPq/txGrhmIzdPsc23GByWHjAk7ThbDPzw6Hg4SEQugkFBP7mYgVTPYtskguaat8RPTsS+u7Eu0XMsq6qFPCR0DqfxSrmZpOMCaNtBIJcaSVaDUIj74nWovEg0kFEuEplBKZ8Li473GbLc9JKMz3JSJ4tWNdE0tptc2g3XdjsvW2MfzmN7/hjjvuYPbs2UgpkVJy2GGHJRntHnzwwS3Wt61pLFSv1znkkEP44x//yIMPPsh+++2X7Hv++ec555xzuOOOOyiXy5x66qlcddVVuSF5jhw5cuTYfjCdsdM2NG565JFH+O1vf8s111zD4Ycfzq677sr73/9+TjvtNLq7u7d09yanZHrwwQfxfaN8eeCBB3jwwQfH/OSYPCSaHreKipQ393jnjlt+p+r3WDRyPY5QqEhlFIfSva5jBQUZUnEbdDk1DpjxHFJoFndupBp4zCpVWVfvpK5cZnijFKXJFOeJkJneCF5EwMwrDgAk6iqJoj+s8KLfR1UXGFEFeqK6Es2IKuJrh6dqc5ntDjIUluh0a8wuDhNohxW1PgbCCrt1rKXs+Ei08VyKJpglN6AWGq5TNU06E8+m2CepiZ5pJpji+iEy+fjaEENxOGAYhcfFKg0pNJ5QUWY6FRmJq8TbynNCCpGSI1ZzSEcj3UiZ4Wi0o9OJvtTo6NNWSWPBnmTHfTdmypbaIiEIjCpFN7WXhk5Z65PBSyjXQmJBK6kz3Ul8u3pTbc9WSo1HMMW7mgmmaH3p8lszx7UJp0kdv811Gotg0s3X0iqf+dhEotCGjGoizOzQt6gVEuWSfR2aCaGEcEvrx+FzsdLOkSoNhbNC6ex6LdBW+ZhcEhFpZYXB2ddJugrlS1TgoEJJWI/IpfhixSGqgsjw27q5NsFpImSz27dRvJp/jbMRhmFipj1r1ixWrlwJGEPwJ554Ykt2basaC1144YUsWLCgZXsYhhx33HGMjIxw7733cv3113PDDTdw/vnnv+x9ypEjR44cObYmvNzjpiuuuIKDDz6Yrq4u5syZw0knnZQZq/i+zz/90z+x77770tHRwYIFC3jve9+bjG1i1Ot1zj33XGbNmkVHRwcnnHACL7zwwoTHP+SQQ/ja177GqlWr+NCHPsQPf/hD5s+fz2mnnUa9Xp/6CW1GTErJdOeddybLW5NcfVvH6xtXc493Lj6AdsYMmWvGopHrWdXxN0m87wynSlUV2L1zDbO8YVY1euh06vTXy7y97xGeG+7DlSH9jTJlp0Gn20Ah2dDopOgEFIXPDK/KBr+LUAuqTtEof1xDMJWEz4qgjyWFddS0hwLmOFVWh510yDpVVcCPlEOzvCHW+12sqnXT442ystYDwPpGBwf2PMdTYg4Fp4TSgmpQMASQFgnRBJEnkwSUIZqUMTrCj4zAXbLhcY7QibrLEEqS0Jo8O0ITKjmmmgkJhXiGG7qJN1NCQsmQoiOpSQ9fSfxA4UvjFRMIBxVIM8dtMie2kSE2IsWTjoy8VSgIhETZRuJSJ6oxLUXkCRWpoBQozdhqDNFEBCUfi5CI9yUdHKOtjEJEp8ok61hJOaHTDcli1OtYwRRxBKKNQVGmCZtkay3aHs0imiaCSTedu2ghZ1rba0azl8+th7wjs/+4+35m2k0yykWqrubrFiHmPoQe4xY0i32aVEf2fc3wRXEfon2xgsiuK6VOzb6jdmVERMXPluuECAFOpLLzZBy6JnGkRmtlCFIBIj7f+MQwz3divh3fR4tV02D8k6ILEYfVBbU0JC5sGIMmFUiIss1pZU4y7qfWpGGjkiZTftLrk6il2l3srRhGPja9etsY9tlnHx566CF23nlnDjnkEK688koKhQJf//rX2Xnnnbdo37aWsdDPfvYzbr/9dm644QZ+9rNsyO7tt9/Oo48+yooVKxIS6rOf/SxnnHEGl1122Vbx62aOHOOhxa/GGhr/wPtksvwe8e+vUI8MbpEXZtZPVFe+osfPsWWxpt6VLDdUOmfpcNLkFN1uLVl+ufzLckwB0xk7TbH83XffzTnnnMPBBx9MEAR8/OMf5+1vfzuPPvooHR0dVKtVHnjgAT75yU/yute9jk2bNvGRj3yEE044gd///vdJOx/5yEe45ZZbuP7665k5cybnn38+S5cuZfny5ZkEI2OhXC7z3ve+lyVLlnDxxRdz/fXX83//7/+lWCxO7fw3I6bsyXTWWWcxNDTUsn1kZISzzjprs3Rqe8Lh/pepKy8x3P5f75xJ1y2IgIqsMxSWmOsOsHflRYrSZzQs8HR1NlJobtuwD//fjvdQcnwWVTaxuLyBeujy5NBsfC15ZGAeD/Qv5C/VWayqdbOx0UG/X6GuXNb4PawPuhlRRZSWbAg7WeHPZEQ7PNKYixcdvyIb7FjYyHONWdSVx/6VZ1lY3oSDprdQxdeStaOd/HbTziwsbQKgGhQoyJCGchIfpphwUloQKElDOTRCl0A5NJRLoCX10CXQDr5OVUphRCzFn1CbzHTxx4+UU7a3kydCvMjPKf64IqToBBRkQEEaBVPJMT5NRTeg5BrfpqIbUCwEeF6I4ymkpxDRh4Lxa8JT4OrkIxydEhuQEE0qkKhAEvgOYRxGKDUFN8R1Q1zPkH3Gz0aBo9GuBgd0wSxrR0feP0TL2hAMicJKj69waiMnTdU9bYpbypq0Qvw3asgO22oiN+I2MgSP1XYLxttmndt4xJp9vNiHqDWkLroQQrP0wWUsO+A48znwuGzZMXDc/T/l1kOPjZRs0fFiDyWpk3vTrEoyYW5N9zH+ROVS/yjSNkVcl+Sex+o6o3AyHkgxwWTOm8QbSUSqpMSTyQqTkyJVLUmhCUJpFJRRSGmscIpN64GEnGoms7LXLGbTErlRpESK1nQUEpd4mJGSU0qk//c3k0tKGI8yTeKHJqJwufj+J+ttnvccWw8+8YlPoJR5Di+99FKee+45/uqv/oqf/vSnfOlLX9rCvUuxpcZCa9as4eyzz+bb3/42lUqlZf9vfvMb9tlnn4zK6eijj6Zer7N8+fK2bdbrdQYHBzOfHDly5MiRI8f4uO222zjjjDPYe++9ed3rXse1117L888/n/x/29PTwy9+8QtOPvlk9thjDw499FC+/OUvs3z5cp5//nkABgYG+H//7//x2c9+lre+9a3sv//+fOc73+FPf/oTv/zlLyfsw4svvsjll1/ObrvtximnnMLBBx/MI488ssV9I6dMMn3rW99idHS0Zfvo6OikU+nlyOId6j8YUiU8EY6bjaAZEk2HrDPDqeIIRZccpSACZnhVijJg1651lBw/Ufm4MqQaFtnoV9hULzMaFoyqSQsGGyUC5eDJMEPgSKEYUiVqyqOqigyEFRw0NV2gSxpF1AxnhAXeJtY2utkYdPDw6EL6feMxVZY+deVScgJml4ZY2+hih1I/rlQ0lJMYgMchbYqUDIq3BVpGxJMhpHzlEET9y16PVM0EECIIEUk4ImQzPwCZsLnYh8ksq6Rv8SeZVAtrEh6F/IiM+TLEoXPJJ5rwp+E+WIomkfzVWpiQPKmMT5NNFCRmyXbbJCRGy/Gb1Us2yRXjJU62xyWaRJtt7WArcNoVs8mGidpo08CYBFsLuQSZsDILJuX9+J1oubaZ60/TPbHuY+Ya6ux++6/dln2/LbVS8kxYHkwi8wykz7F0dIYossPk4npam79uFNYWRt/Jyf7QoxNFUfN5WudmX5w24XumeuyxZP3IZN0OYd8a29w7IiFtkd1mM8l/BTGdULltNWTu6KOP5l3vehcAO++8M48++ijr169n7dq1HHXUUVu4dym2xFhIa80ZZ5zBP/7jP3LQQQe1LbN69Wrmzp2b2dbb20uhUGD16tVt61xxxRX09PQkn4ULF272vufIkSNHjhyvJF7KuKn5h5fJhp4NDAwA0NfXN24ZIQQzZswAYPny5fi+z9vf/vakzIIFC9hnn3349a9/PWY7P/zhDzn22GPZbbfd+N3vfsdnP/tZVqxYwZVXXsmee+45qf6+nJhUuByYi621RmvN0NAQpVIp2ReGIT/96U+ZM2fOy9LJ7QHHqyv5KR+jx6lOqvz8kf9mbee72X3022zqPMn4Jekic90BRlSRkvTpdGpUCwWuX3eICV0bncGgX0RpwcxSFaUFe3atZjgsMhSU8JVDWfq4MkQKzWBQpscdpSLrdDk1RlSRLmeUIVWgJBqsCzuYIausDnoAOKbnITpEgz/Vd8STAT3OKL8bXMKwX6K7UKMoAzY2OgDoLVTZUO9AaYErlMkspySuVIn3UkwWxfuVkXWgouVQGm8ljzCTQjTOJmfUSxIlFFIrQiSSNGTOScoLHBGZiUfheUoLVER+IU2WNyDxgFI6JYTQEu0qE9LWxvsl8V6ytyuSkB4d9VHItN3YB8clJT0C7SJRKA3INP5HR5nmsj5O0SHHIph0m+WxJt6CzKQ9KRsRZi28gI7LiVSFotPmMxNfK3Rq3L41nVf79WZCJ0vCAGmIXEzEWO3YfkUAx//xFm553fHJuiGaWpGE0MUkjSR6VxKFyWmS7GYxCdh8XjZx0nw+zefbpM4SMclokXvNGeSSvglj3i2ljjga0UIwxc+41gIpIxWT1X78PNueYomXmN1dAdJRqDBmPa2T0M0na8EmhDDXTUdZGgGSiFeVPoMZ8lZl64sm26dmT65tAhORrOPVexVgvMHaK42XYyx0ySWX8KlPfWrcMr/73e/49a9/zeDgIBdddNG4ZUWbWGqtddvtABdddFHGyHxwcDAnmnLkyJEjx7aN6YydovLN/wdefPHFXHLJJeNX1ZrzzjuPww47jH322adtmVqtxj//8z9z6qmnJuHrq1evplAotCiP5s6dO+aPQwCnnHIKixYt4qMf/Shz587l2Wef5Stf+UpLuQ996EPj9vvlwqRJphkzZiCEQAjB7rvv3rJfCDHhICnH+HiH+g/+1zmH+wr/h0MbX52w/JzhGwBQSLpkDU+E+NphtjtEnzOMr12qqsBbeh+jQ9bpDyvcvmFvDpnxDFIoVjdmsMHvoNutMSpCRiMVVUU26HFH6XNHAGMCDjDkl+hyamxQHezg9rM67KEkGsxzB/BEwLqwm2eD2QyFZZ6uzmH3yhp271hDRTZ4qjqXtfUuOpwGA34ZpQWzi8Osq3caogmFEiJREkGa4a2hnISAqrgNaqEHykUhKMoAKXVCMvnaGIKHOo1fVRExFUTbHK2S8snxonpoiStCcIwHlJIhKAiECekLdap+UgmpoJFaR3Nbbak3DEQSCxRNzLVGI0GZjHGpcsT8DZVIJgNSKoQQuFHK+FBJlKuMP43AqDuUhDAbRpwJy7PX7cl1hszJ9nlCpUqz0iZp0hApIiERmpit2Ci6mXSKuYdoXwsHEP9H0cxHxQKYRNUTfaQVIhgTbDYJZZlhZ0gm0joAJ/zpZm7e94RxL0Xs0ZRkn4vUbkadphMiJ8kY14ZEyXAwzSffLLyxSUOho6yCooVc0kqgEeiAzH5ZDFN7JIt8ir2XQiWj0DmzL84uF0bkrtYQhOa7pOMwVE2Sdc5kmyPyTTLfDx2Hv2VIJuu8Y2Ko6blFZ1VTGcWSTdzFhGbcTlJOtLQrpLknx933M2499Fi2BQiVJcumUi/H5sXLMRb64Ac/yCmnnDJumSVLlnDppZdy3333tXgsHHTQQZx22ml861vfYt68efz2t7/N7N+0aRO+77conGIUi8Ut6tuQI0eOHDlybG5MZ+wUl1+xYkXGw3Ay/0d+8IMf5KGHHuLee+9tu9/3fU455RSUUvznf/7nhO2N9+MQwKJFixBC8L3vfW/MMkKIrZ9kuvPOO9Fac9RRR3HDDTdkflksFAosXry4baaTHFODI1SSTW2ykCi6h27G616KryUSzZAq8ZdGDw6ahd4Gbth4EKNhgf66IYxWN2bw5NBsOr26IWqiyWaIUQfVlEfFqTMclqjIBr528GQQmXy7zJB1BlWdjWEnngiYESmwZjgjlKTPX+RsqqrA6no3RRkQIijIgKIMorC9QqKYkkLTCE3onEIk5x/3qeT44BiyqBG6aWhdrFTSIgm5a3t9hDKhc1ogEfjKMZmyRDa8rl09KWTSl5j0SsPm0vtkFCIROWNH5DXLfHRMQmkQwvjnSJL2ZFObjtQonV4LEWpCIZFSo5Q5f62jNmJlR3Isi1waD23OX4gmosme/Iumv5mKNnsUVbCIpfhw8a5MHavdZJd9TLu7FhnT6sXUzEowLYJpKmnulz5wK8sOSMmmpctvBTRCpkRTpnn7+jmR0ilW5DSTShAZiVt9i/2cJLTciJjMtA6olTAZ4lyVPBfNBFNyKOtZjDPIxd8xRyoavps8G7FyT6mskilW/tkZ7ZqVTklnYyLIIpZayNB2dds+f2Mcos0htyk103auZNqa8HKMhWbNmsWsWbMmLPelL32JSy+9NFlfuXIlRx99ND/4wQ845JBDAHjDG97AZZddxqpVq5g/fz5gzMCLxSIHHnjglPqVI8fWhlfa7PsH2jIaz42+t2s8Mziz7faZ5TEiUErtN+d4BfESlEzd3d1TSpRx7rnncvPNN3PPPfew4447tuz3fZ+TTz6ZZ555hjvuuCPT9rx582g0GmzatCmjZlq7di1vfOMbxzzms88+O+n+bQlMmmR685vfDMAzzzzDwoULkXLKdk45JoFDG1/l/sI/cn/hH3l94+pJ1ekd/jFgsqUpBDXtUZI+M5wqj1R3YPnAm+nyTMYDKTQ3vfA6GqFDV6GOFJpR16MoA3q8USqOSc/syQAHTadToyIbVFWB9X4XPW6VDUEnNXcD3bKGIxRDqsyQKrPa72GN38NcbwBfm+x1r+96hsdH59Mta/RTYWFpI8NhwYTAKYcdy5tY3+jMmH4rLXAjA2KFoBZ6dLp1im6DeuiaUD6/hFKCugqRQjGqCiaULGJ4nMQDJqWwgyg7HUCoJA4mhC7QDvXQJUTgRMomNwquU0KhZJiYk2eJpYhcwoiJUK3kjIgp8WhCrJRAC4mOJu+mjEa6kb+TVLiO+ThCJSoSITSulMiCIeT8wCEIJaHUhKHJvKVDEfk2RQfXZDN7jfWibTfZ1k2Zu5KysYImXW9RPQkrVAzSTGtxiFoc+mSTBEkfsixBs7JJCyA2ugZjsJ14UVkEja32sQy225JL7Ugl65qc+MhP+MneJ7ZeIwsxwbT0gWUmrC5pKyKa4pC5ONTMNkZP/jZJuJr71eZc4nOIzbO1ltmMcRYp5bgK6aiM0i72WpKRyTeYX06Sa2PBmH5Hy0qaEM5Apuql+D5HaqHMd8G6Htl7bDGK2oTFJf1QInNPMt2JQ+PGIppstZNNikZ1hdYsO/QdbCsQTY/GVOrl2LzYkmOhRYsWZdY7OzsB2GWXXZJB7dvf/nb22msvTj/9dP7jP/6DjRs3csEFF3D22WfnmeVy5MiRI8d2g+mMnaZaXmvNueeey0033cRdd93FTjvt1FImJpiefPJJ7rzzTmbOzBKWBx54IJ7nJQbhAKtWreLhhx/myiu3XXJ70iRTjMWLFwNQrVZ5/vnnaTQamf2vfe1rN0/PtmO8vnE1y4v/35TqDHadgKMdBlWJDlnnyfo8Vvkz6HFHWS87OWrGY9zR/xpmlUZYOdBDd7mG54SsrXYyszjCTGeEqirQ7YwyHBYZDotUZAMvMgtfUNgUmYGbLFMj2uPFoJcZskpF1FkXdjPDqbKksI61QTdH9jxOTXvMcKr0uKOsbXQRItgYdNDpNBLPpI2NjiR0bsAvE0Sz7zg8TqITwgmgy6sx5JdMxqsoAx0UjDeTCDNKIKBlXWmBjwMaHKGjzHPSKMCisg7a7CNVMzUbhAORKTKARmhhQrQiP6VEoGEpQpSKQtyEwvYfj71rXEfhxCSTNMuek4b14ZD4VcXnEobguArHjYiFqG8qlEbpFEgTqpQJU4pgK0bseX/TC7atoqeJbEvasNUo6MRLR9gkiwQdKZwywidNtj+WIsomK7RNJlkEU3JNI4Kj1fS8HcnUfC7t/3c56dEfo7UYk2w6/g+3cMt+x7PsgKUsfXBZeg7RRRHEQZM6VWLZsFVKzWRXOwVW1LQQ2ngexddLaKSrM6FqsRpJRM+nlKkSr+AFaVbDJhLVviYS87wFYRQyhyGaEqI0Q36JlGDSaRu65aSj/VKbsDepEbH/UlQ2JiuzhvnWevNz20wuxZ+4f1HdZW8wYXLH3f9Tbn39tkM25dh6sLWOhRzH4dZbb+UDH/gAb3rTmyiXy5x66qlcddVVW6Q/OXLkyJEjx6sV55xzDt/73vf4yU9+QldXV+Kh1NPTQ7lcJggC/vqv/5oHHniAZcuWEYZhUqavr49CoUBPTw/vf//7Of/885k5cyZ9fX1ccMEF7Lvvvrz1rW/dkqf3kjBlkmndunWceeaZ/OxnP2u7PwzDtttzTA0H1r8+pfLdQzcz0nU8JeGzOuyhqorM9/p5cNj88jkUlhgNPfbvXkE1KNBQDiN+gb5SlWeG+qhXXBaVN+Jrh+eqM1lQ7geML5EUmnVBFz3OKF1yFEeYcDylJT4OHaLBDGeEDUEnEs0O3ib6wwr9YYWaMD5PnjQGwF1OjbpyCZXLDG/UZIkLPerKPIpulCY9JphiQqehXIpOQEO5iSprMOqD0kYVFYeWjQelI8kR2TA5KXSkYlJJOSkM2ZSE742juUwm8rFCKeVHWsohm5hyYYXjRWF8TkQyxeF5CZrDhiKiIU4370iF1gIfEEJYCpd24UZNBFOzsmhMI/A2xJTVn6ij8QljKCUR0wZRp9NFO4wu25TVB9nm2scETHOWtQzBRFuCyfaoalanNUMnp6LHVDXdsl9qEJ4QKglpliWamo+hE0IS2v6EMg7BZBqIL2J6LtJVCaEU98k8IyYEM3lOIfL6MiGo8fMef++dKIRVWM+D54aEYfptiEM3bTIrEzIZP382cahJDdDbfa0y4X4WwWTvlxpCYZFwcYewBYxZSI12xr/fWyWM4dX06uV4WbA1jIWWLFmSKA9tLFq0iGXLlr3sx8+RI0eOHDm2Wkxn7DTF8l/9qvFQPuKIIzLbr732Ws444wxeeOEFbr75ZgD222+/TJk777wzqff5z38e13U5+eSTGR0d5S1veQvf/OY3cRyHbRVTJpk+8pGPsGnTJu677z6OPPJIbrrpJtasWcOll17KZz/72ZejjzkmiY6hW9jQcQodss7OxbX0hxVe07GKkvCpqiLDfpFfbdiVQEv6ilVmFUdYMTyDoUYRVyoayuX5oRns27eKoaBEvy5TlAF15eIJxYJSP5tEB+v9To7qfpSVfi89USa7DllnpjtMVRdZ53fRH1aoyAargx46nRpzvQH6wwoDQYV+v0yn06DPHWEkKOKKkJGgSI83SrdXY1Wtm0A5NJSDi4oIGEU9TImmOHzNKJkw/k4xMUSqSLIRJmqe1vAGm2AyxJYxAY+JLleohAhqVntk1ExYYgoljC+xNPPeOFW8hhaCxnUUnmsy37mOougERtVkqbiUFviBY9UJk3dhueibDHkRyVQVHn7gpL5NSqcz6nbvz4TIGKNMmzAum/xoiYKKTjJRdcXveRWpmjCKkkzWMFuFEm9uQ2i1VTAJK4taU72EWIoJF5new0w4VhuCR2vRRESM/5/PCQ/dbBptItDia9WO1BAx2dJ8XeMGxlFhhQ3HhMdF5ycdZYilpA3LzysimGT0TMUZ4RyhCHEoOGFi/O3JkOFakYIXUG9ERLFrJs1hKHAcZTzAHBIyS8XZEkNhMuxFxBOAdAwBnCiTYiIqVnsJDDEkIzIuTG+hRljPhvV8xqbf9nV2NfgCvJSA0o6OvM90YtIeY9nB24aKKQ+X2/qQj4Vy5MiRI0eOrRevVLjceBjrx6BmlEolvvzlL/PlL395ah3YijFlkumOO+7gJz/5CQcffDBSShYvXszb3vY2uru7ueKKKzjuuOMmbiTHy4ZQS7pljVD4rPZ7WNWYQb9fZkFxgIrbQGnJw2vnQS/s2rmeFcyg4ISsHupipTJhdI8PzKHs+rhCUXBC+usl5lWGeGRwAYGW7NW1ikXuJv53eHc8EeBrh41BBz1OFYUhZpSWDIRljup4jGvXH8bO5fX42uE15ZWsa3Tia8mL9RkROaSoS5ehwDj393lV1jc6EtNt49MU+SmFLq4MCZSD0iIlmZSLI4yXkiNSwih7bZzENNwmo2REIIEJoUuhon0qKRN/HKEJLeWQmSxHy5FHDUQT+VCgZUpQ2ZN8INkWkwCxiqnghAm5FZ+rJ0PjJyUUSjh4bohSkoITJu2HSuI6UZYwqVHJRHwCoqkZSUhSE8FkERi254+9bnbrxBgaMBkbBMZ3Jy6jU4YgCadqVi2Jpr9xGWFC57LkEqk6qVn5Y6l6ZHN/x7oEMUmWrMM7H/sxN73mpEy5E/50c3ocdOL9lZi8Nx+oebNN2CXHUun1FU37IpLGKaRsjOuF5ngiDX2LwzQdJxtOCYY0EkJHYZpme6gknhOyYagDAD9wKHgBQWjaUMqEzEFKLunoPrux35MDYeBkyT0dmdzTTDRhPWMieT6I1GBCp89Nes2isnGYXdO10QVDKMXPiIiWlx2wFDChjUlYq4BbXpeq0LZajKX4mky9HC8L8rFQjhyvTvxn49PJ8gcKr6zReI5tA7Z1xcZaOVn+VPcHtkR3coyF6Yyd8nHTZsOUHStHRkaYM2cOYGIJ161bB8C+++7LAw88sHl7l2PK6JB1Zg7fyIgq4gjFXG+QbrfGC7VepNCsqXYyu3OYiuszuzBELfDwnJAlMzbRWaozpzJM2fWTUDIVqR1qocegX6Tk+IRIng96mesNMqRM+gRPhBHBZMJritKnS9YY0QWGghJVVeD1lad5pLoDM7xRvIgE8kRI2fEpOz4lx49MvD063AauUDSUQy10GfSLKC0JtCRQDgUnIFAy+UwEm1SKEY7DMDgim+nNbidWN8XhRzFBlGTs0qlCM8nCpUTb95ad2cvOqhcfx5VZcitej0Pj4jbi/tjtOpbCJSUpLDImRvISbiezGZ9gEkKb9uNP83r0IQoTJCKFEl8iabUrUmKA5v3JX52olzJZ5sYimETcz5RcElb7dqbAdp/seafXtvU+2ivZdlsIpBbSTNNKMOlMO+k5pOeC0DiRuij25NJRFri4DSGMqXesMor77joqVRlFJKYfEUxCaBxH4UTqOs8NE7+wGDFBlQk1tBbS7HLRpthY3FpHkz4bceWYUGomNzMXm6zZO0acqGND+Pi5ixVMjiGYTvjTzZHSLG1qmyCYIPk1bjqfHC8P8rFQjhw5cuTIsfViexk3HXHEEVx33XWMjo5u6a5kMGUl0x577METTzzBkiVL2G+//fja177GkiVLuPrqq5N0uTm2HOYM38CGzndR0g5z3QEa2kUhWVzeQBiFf7kyZL+uFVRVgbLXYGV/D3suWstgo8gT62ajlOSwRX/hwXU70Feusmm0zFCjiCOM2fbqaheBduh0DHlV6lhJRdYJtaQkTWheVRWMSTia42Y+xLqgi25Zo+I0mO/18+joDlRDj25ZwxMh61UnO5b6GVUFNjQqiVIpJpAqrk9/o0TF9QmUpOQEVAMv8Y5RWhBqgURG0ocsAuUkpFLsy9RMIjnjvFligkdpkSiNlBbgWJN7qQlDSSBSlZKBTsoYkYbITM5jgZGdVj45plC4MjQhgsqEA3oyNJm+tMCLDcJl5P8hQMcElaMoegGBlISOND46KlJWxWqUOIPXRG9Vi8zJhGwl6iCSrGbpeUXG3hqENhnQYtVXkhFNNBE07Y6LZdFjES7NpthxNjXRVCZDAMbEzfhnmx7evk9xX7TgXY/fBMCNe76Tkx79cRTyJpJCOvknc0XaEEzpruR4zQos6/4kxFBEzojoeUi9mEITAmeRQrFqq95wUcIokqQVupcQkkoSKknBDZhRMf9RhUrSCB2k1HhSEQijkis45jhBaNg+afWr4AWEgTTElyYhuCAKm4svQaRsSohIB1Qgkwg6rSwikehrHZG46Q3KPhtCtg+BM/coIr4ir69tyq4o92Ta6pCPhXLkyJEjR46tGK+AJ9PWgAMPPJALL7yQc889l5NPPpn3v//9HHrooVu6W9PzZFq1ahUAF198MUcffTTf/e53KRQKfPOb39zc/csxDcwcvpFnKqcCMMOpckjnUxGxApsCQ+D8YWghp8z6LbfzGno7Ro0ZtzaTzN6OUTY1KoyMFqk1PDw3ZHi0SNELKHkOoZL8fv1CXj/rOdaMdjHk78x75vyW1cEMaqHxbxkIKigtWOwO8XRjDgeUnuW+0V3YFHRwUOUv/HFkIUtKGxgIyvR5w1QLBfr9CkUnwBOKBm4iR1UIGqFDQYYESjLsF4BUtWHC6YzCyXE0vpZ4kDHxDhGGuEIk4XygEmJJ6eysv65cQ3JFGfXi/a5MM78pLSDOzCUVoTITV0eqxKsm867SUUiYMJPcrFk4hFF7cdtBpNyKZ+WuVKBAOSEKYcLmInPw2EsnhusoHB0ZN3umrB84BKEk8B1zrNCWzkQdjJdjXyEdr1skThOxFBM4SchcfLpRqFx8HbQy3lBG1WV8e4jWsQ6fQUbdQ0qGjaNcaiGXYoVV0k6WsJkMtBZRxKG5f7Gx97sevwkhREQU6ohcyj5L7TKrZY4tmrbZxJulFpqIKItJTs8NkdKEwIXRtXWkolgI8AMHz1IwCaEJQgfXCSk6AQD10E3C5hK1ko7b0Qhh7rnrpKSi1oJiIUjC6TwvzHynhEgJMCFN9sMkA120XwVRBjwgsQfTQBARd7H3lhJZ0jHCrYe091f6mydvwHVFSnYJQ642hzzmyDEV5GOhHDly5MiRI8eWxmc/+1muvPJKli1bxrXXXsvhhx/OrrvuyllnncXpp5/O3Llzt0i/pkwynXbaacny/vvvz7PPPsvjjz/OokWLmDVr1mbtXI7po0PWASiIgBDJUFhm+cgSKrJBZ6HGylovNV1Aa0HBDfjA3Dv4RPUkBFBwA9aNGk8WpQT1hosASl5Al1dnxcAM5ncP8sTQXGaVhlFaUtMFHh7ZgZneCH3uCBsbHczwqvyyumsSujfDqbJedjFDjuJJRU151LVHT7R9o+pACoUfEUYSze7da3l0YF4UJme8hwpOyMZaJQkTiwkZl1TNFAoNWrZ4M4VaECKScL3QGPsgo6x2QEIqBdrBVw6BlibbHDrxc4qJneasbRkiAJ3Zn/jAQEJGxERT8onqKOsTWFGtsaIqUAolDHlEpEJRiOQcpIiVLvEE3SIElEBJmaqYZMQmtYqvLDKHlNywSJzYZNr2AIrPWRNxE3FKeqlIU4pF3jtSJMqSRLWkLZLFhmwmZrIEU2ThlYZmQdInQSu5NNnMYgmBpK0saxbRZNrLEooJgRIRJZn6Sf/t8u0JJru9ZoIpeZaiZ0cpEr+vGIk3FxotNKWCD0A9cOkopinXg9BBuqa9Rmh8znTgUPQCCJ0kNFQInYSSCqEpugFae0lWx1BJSoWA0bqHG90H26zekYogkGkIp4r9naxrEpNL8fWP77v1jEyGXLKvbRA4WcN3K8PctoDpSri3Rdn3toJ8LJQjR44cOXJsvZjO2GlbHTc5jsOJJ57IiSeeyLp16/ja177GJz/5Sf7lX/6Fd7zjHXzoQx/iqKOOekX7NGWSqRmVSoUDDjhgc/QlxxSxtvPdSXjczOEb2dD5Lmra3NIKJlNZSfg4aErC501dT7Iu6OKFRh9lp0FF1Hld34s8X+3jpoEDOXruo/ymsAt/Wjmfmd0jaIyB785z1rNupJOK1+A1PWvYvXst961dwv7znuLIrkf5zto3UlMeM70Retwqc70BahWXvUorWe334KDoED5vLj/DnoVVSKHZubSWJ0fnUlcuj48uAKDsGGPyWuglxNHjg3PZvWsdjw/OyZx7X6nKQKNkMmMpSTXw0p0yQEbu0mO5NamIXAJTLtRmIhyroupRBrs4bM82+ZNoPCeEELQUiW9VXEZEpIsiTSFvdqQEQSwSUkpGapLI5FwKRJhVupiQudSbyU7PHkYhTn40WW/4LiXPp1zwo5AonWSocx2PhuNSk645Z9+xvHPaq5CSfsuUXJKW/5KM1h2pknPV2iI+tEBLc55KC5AhYSiTNrUSaFvSghgjlC1Lgtkm3s3kUjsyJvEnGud/j7Gyy8XHTbKjkRKGNtGkLCVZO7Wt3ef4umaPHy+k/U3K26SZ1YZoKmvuh7nfjjBqJi8mnpRKSCftKOqBS9nzM/+jxr5gjtAU3MCEzzlpKvay5yOFZrhepOCkaiVDuJq/fuAwo2OUeuDiCEXDcRACwtA8AwmxCqgwUjVFz5QOoy9tTFbG2Qe12YaOSCdLsTYRatVCUt4rGLXWj3Z/Fyc/9SN+uOtfT1h/q0D8wphOvRyvCPKxUI4crw58oPDPW7oLObYCXLTpa5l1R6bzjDibNBg7jxxbKaYzdtrGx033338/1157Ld///veZM2cOZ5xxBqtWreL444/n//yf/8NVV131ivVlUiTTeeedN+kGP/e5z027MzmmhjnDNwAmPA6gpl1GVJERVWSOO8gMMUrH0C0AVHqOwSNEuoqi8OmQde6v7sLC0kZ2KPazMehgdWMG60Y72G3OOvrrZQpuyAE7Psfq0S7qvku50+fe1TszUi/wvt3uo6481gbdrBiewS3B6/ibub9nY9DBTGeId/euwxMuf2hsZEXQx/LaYh4d3YEPz7qHlUEJB8Ubu55k+chOPD/ax3vn/C8Pji7hz9W5kVonpBEYNdNTw7NYUBnkuaFeRgMPT4YUIg+iiutTDTxqgZtMkGMUZYDKqIAUHtmsEEa1ZJb9SLEUaEkjdCMFkyFKEoKH1JjbkcbkHCVN+FlyHI0SmtimJ95mK0+I2o1D6EIlI6LA+N4QuGgnImqiSX58/ObQvkboRKF6ps2ReoGCG+I4QZKhDkB6xr8nVqX4jkMQOklIm+kbaR8tNKuW4nCs+G9MgsX9Cy2SSSmTXS9UwhAxwmQhUypOdW8rvnTrC15k+9EunGwy5NJkwuSa1U1x2lGthUluaKnOmvsppU5DsmxuUTapmKJzaiZJbLKo9Xyz5xT3wfgpZc8tXk//qij7W6pUigkowHh8IXCEKVdyg6wiDpJwTE+GNEKXntIojdBFaJGYgJc9H60FfqSEcqWi5PnQMOcaRG3Fz0FomZEnoaWRsk0rIPJkEg5jPhPLDhw7g9fSB5dFX0DzDnAKijCUlEtGweW54Zh1tzbkSqatA/lYKEeOHDly5Ng2sL0omdauXcu3v/1trr32Wp588kmOP/54rr/+eo4++ugkouXkk0/mpJNO2vpIpgcffHBSjYnJxp9EuOSSS/jUpz6V2TZ37lxWr14NmAnepz71Kb7+9a+zadMmDjnkEL7yla+w9957T+k42wskGk+EdDs1SiIgRBB2H5tMFLtlnYIIKQkfH4dFhfW84PdREgHzC/3ctWEPFnb2s7raxRvmPMtjA3P547oFvH7u84z4BfprZUIl6Cg2+PbTr2ef2avZZ/YL1EOXGYUqd/XvyYBfptpTBJ5jtjPMbMdngbOW79fnMOiXuGV4TxwUSwrr+O3Irsz1BllT76JfVXhsZB67d6zhocEdeW33C/x6wy7JuRWlUSB0eA2GGkVKTpCQP7GheUM5uMr4IcXwtTR1tYwmpgq0TIgmEyaXrhuzcYdGrGCKFEpS6wzR1A62B1My6Sddjyf1SoOKstNri2gyBIWMQpJIjh0bfheEmRTHfY1JnHjZTi3fCEwGvgwxhk4Nm52UfFNKJmF66ellQ/1izyUBCbEUn1PsURWTGSLyltKYcD0phCEWtGNUNkqiBEgZXQdpK5nIkF62isesxwvReVkEy0TqpXh9rHC8dvdWtQmDi/sYX+tmTOgZ2O41qUWLp1VGwWSdU9JfKyzQrOsMmaYiMrM586AjdOodRvo8mTBMScEJku9UgIwINg1S4Svz5aoFHhWvQT10KbrmOdNaJAb0wvquuI7Cc0IagfnvxhcS822WaK1NxJwGlEAn9zJSkNkhdMpaHus6NkHEz6T1DHxvp5MB+O6S90zcwNYCpUnY8KnWy7HZ8HKNhXLkyJEjR44cmxnTGTttg+OmHXfckV122YWzzjqLM844g9mzZ7eUef3rX8/BBx/8ivZrUiTTnXfe+bJ1YO+99+aXv/xlsu44KUNw5ZVX8rnPfY5vfvOb7L777lx66aW87W1v44knnqCrq+tl69O2ivkj/52EzL0Y9DLDGeHe0YUcUnma2wf3YU5hkJ0LaykJny5Ro+T57FJYy5ONeWwMOjm870lebPRSDQo8NjCXEb/ADl0D3Pv/t3fmYVIU5x//VnXPtSd7wB6wXMYDBRXxAg/UKEhAQbw1ClGJB4d4IhIDHgioqASjQaMIiUb9JZAYSRAMIiEeQSSKYAANlwgisOyyxxzdVb8/+pjq2ZllWWBnd3k/zzPP9nRXd7/VPTNb8533/da3XdAuuwrDO3+EuVvPRKYvCsZCWLOrGA/vHoQXTngNv9/dByEtimrTDxMMfyk/Bcdm7ECFkYFvatpiaOFK5OtVONq/A/P2noYMHsGWcD4AIGz6UKxVIMANfLmvPTL1KL7c1x45/jD2RCwD8c3VeehZ8C2+KC91S9EKgjUwBEe2L4KKaBBMWEKTITT4bVHKx5wMGwGdxU3CTTBortG1QEToiEnLGDxs6gibuisyAXEvJGcX1TNJSOZmZaio3j9qGZMwNUswkJaBsRSW0GTaX7o5kzC5BEwnKyo+e5due0c5ApNhZ4QYplU253yhjhg6Qv4YhGRulpGf2eVNOmBIbgtFgBDWF3EnGyoVjojBuVV25cxgp9nHdzJhAMDg3I3RFByanbkjBLP9xq0MMk3NYrGxTLa9WUdOvzwlZIArLNmLbsaVV1iqm82UtH+Ii1AA7OweaRuqx+N0juA+r+eaebKnnDpJ1C2dc5+rZYDKcSTgipTOdjfLyDbgdjKSnGvl00zXDF5I5ma0BX0xRA0dPm7CZ5e8OeJRUDfcrECNCwhhzYgY8lmvpaipueVzQVvEFJK5pXNCMquUFHHRLmSnkvu4FQ8zrX87pi2kMmmVGgpuO3ZJ2G8aJWtLME/t6zunDEp5zQFg8Jdvg2sAGCANBqZJaLoJn6/lZC95oHK5ZsHhHAsRBEEQBHEIOULK5f7xj3/gnHPOqbdNTk5Ok49hDtqT6aAD0HUUFxfXWS+lxLPPPosJEyZg6NChAIA5c+agqKgIr7/+Om699damDrVFUFA1D99k/BT7zCAAIF+vQqUIop2/EgDw7+qj0CXwA/aJIHoEt0KDRI/At0DA2n9O+Cx0CO1FWXAPPirviqOyduHbylxoXOC1b0/HgJI1EJLjz1tORFA3kBusxUs/9MVxmdtR5tsDga7YGc1BVOgo9ZWjRvjRJ/drzN3RB2NK30MBD6OdrxI5WhgnZ23BpkhbmJJhbcQyDTekhopoCMdkfY/vIrnWF2NmiSLf1uSBM4mQHkNtzAd/wLSyl7hAwM5sUoUhID7DXIDHs3rU7U45nQlm+TDZWUwRw/vWEEpGkCPuqIbdicdVxQrV1NiZEc/0tJVuRpOAJRgxJl1/Jkcs4MzKLHEynBxhyDCtGf+kW35kZY/ETA0+broCk27PWifsjBOnL5IDMaHBmiVNySCCN6PIEW80ZotMdoaM5pTj2QKUkAwahF02xz0z35mM2/21atpVs/P4B3tdAalOVpWy7P0LtxzQee6IS46I5N4TZbsHR8iStr9U4v2C40GtZHupQlOK0i7G1OV4fEBdccnruRQ/lJYkMyduug5wKSEY4LOvgZOtpDMrC8m5XyFf3PTbyXJzhCgno0k1uBeSwc+t0kunBJMziaA9I53zmnTeG3XKS+1Mw7CpuzMjggtIzfElE4DJITX7mnLTNjO3suskt9S9t0+8FA1B001L0Ixq4JqApgvouok3j2ohHkwEQRAEQRAEsR/2JzCli7SLTBs2bEBpaSkCgQDOOOMMPP744+jatSs2btyIHTt2oF+/fm7bQCCAvn374sMPPySRqR7a8BpU8iBiUoOPmdhjZiGbhwEAm8xCfG/k4IyMbxCTmvulNyx1/DdSiiwtgnIjA9ujlsCzYV9b5IVqAQDd2+zA61+fht6lmxA1NeT5a7FlTx7KazOwLxbEStYJZ7b5H7ZF8nBUxk4IyVHq24s1Ne2hM4EyfR+qpYYugZ34tLoLfhT8HpWxIGqMAIp9FQhLH8qNDAS1GMqNDIQ0KwNC2OU6NYYPbfxhVMYCbhmZIThy/BFk6DHsjVjCmkioo3Fmw9LgZHxYX6hNcHuKMy+OYbZnnSJQubPQQclmglcEgYwLPs5+qlHg/rDEK0uMUb/AJ8ahZtPEZ3Wz/I8cU3DBhUcAc/ojpXQFIM6kRyfhXCaUicXFDM0x+nYEJx4XmepizSgnbRGE2SV0GpcwnUsvGdzZ2hJidAQ4rszkp96bRDHJWacaYTsCk/PcMp9O2G6vV6+/9xze+5mM+srk6vovxY+t9iuxLC4xeynxGrheVHZfTPu9oopQOrO8w9R2zrXycxOG5AjolljkzOLoXiswhGwhyREpg1rMFY7GZY5N3ekEJuz9DTiTeL5omGf9dRvfsjKY7HssYJWPMkhwbvtiSYa/nDC4wefiXMKIWdlZjFvXQTX5Hr1zNma2+1mDj5duEl4+B7QfQRAEQRAHxpQ87/fMu3a9nLTdtPyfN0U4RCNozNippYybevbs2eDS/M8+++wwR5OctIpMZ5xxBubOnYtjjjkG33//PR577DH06dMHa9ascX2ZioqKPPsUFRVh8+bNKY8ZiUQQiUTc55WVlYcn+GZMBo+iZ+S32Jl1OUzJscfMwqraTugW+g4BbiAifPi8thO6BnbCRBhtmIFMZuCEwDa01SvxXSwP+0QQJ2duwVvbT8Wemgx0alOOTdX5MAXDydlbsKGyEKbkyAhGcWLhdwjxGLbU5KHKzqDyMROrajrh+4hV1uhkFM38/seoiIUQNnV8G24DHxNoF9iHf1d1xffRHERMHYWBKuyKZKFf/pf4IdzTLV3zayZOyPkOn+zpjIJgDcKmjqipI6jFEDV1N8PCKYmzzivdeDQmXLFBMMtnSYAhJjVokOBM2A/pKf9JxCkvknYpmKmIPYBSypSQteKIOfvDKTNj9nmcrCWhMZjCEgyihm4bfnM3i0m4mUxWdpOV1WO/xZV3ugBzzcl9mumKE1LGS9zUKewc0cYxi9bt6+zMXKdz67oKWAKHYN4yQ1tncrOZJJOQ3Frp+FM5QhMD3LLC/c0G543PmxmULHtJNbF2UI/vrJfSMi53RBZIS+xxxA5VRNx/cHWFqUQfKc3tbyofKa8/luOJ5eDcM6evjogkJYNfM5Chx1yPMcASixzhSYC5QpOfW5mBTmmokJYZuON/5ucmdG5ifOadDet7ApPb3JZ0veORdCgRwhISmc/KYgr6LcH6pm9fR6Y/0qIEJgDOlI2N248gCIIgCOJIozFjpxYybhoyZEi6Q9gvaRWZBgwY4C736NEDvXv3xlFHHYU5c+bgzDPPBFDXQFNKWa9yN2XKlDpm4kcaocp3AFizz23PvBKlejkysiJYWdMFRb5K7IploQIh7DaysNfMQDDwLfyVf0MmgM65FyOTR+CDiXXREuT4wzi24AdcW/QxJq//CY4u3IU/fdcTV7b/DAu+74GyrL3YXpOD60s/wY7wKfi6xjIbqzID2FhVgLChozSzEl0zdsEEQ6fQbmxGAaIiC1GhY6/hx8C2X+DdXd0hwJDjq8WuSBYEGNpoNdC5iTZaDDWmHzoTyNLCyNBjMASHzgTygzWucOS3Z50Lm7oramlMQrcFJh8z3fXCNjaOyLpvAedLuqeszhaUnIwlR9xxBCYgLiZICTfzxmPUnKRcT8XxInIrsCRDzOAwGYfBBXTBXTHHMDlihiUyCZNbM7jZ3k6CWYKTaXJEuWZnhzAYPC5yOeV+KqbgMF3zcHhmLeNOJpKdGeOIU9x+DsD9C8AVK9TzWKKPI5ww97lUsnGA+HkThaNUn/uJ2T7u9YZTaudsVK6zkpmVKGQJwJvhJQHB4uKhkxXkuX7Mzr1J9b9JEZBUQ29VTOLcK4I5z63Xk11i6GSS2SKR00fNLpFUTb41u7TNEZDc6+L0V8Zf665fF+B6LqnvA792YALTkzXPWB5OwhKInQypxF8GDwfDtv4BUoag+axZ7/y6iQx/DLdse819rYzb8yIy9Bgm5ow87PEcCphsZCZTyxgrEQRBEARBHFIaM3ZqKeOmiRMnpjuE/cL336TpyMzMRI8ePbBhwwbXp8nJaHLYuXNnnewmlfHjx6OiosJ9bN269bDG3Nwpqf4/ZPIoYlLD6ZnfAAB6ZW7Ed+E2iEkNmyOF2Ga0Ac/tDwAIMoFsHkEOj2CPkYWqWAClob34wcjBMXk/QLe/fG+L5OHkNt+i0F+FqNCwzwxiTySEqlgQPiZQa/rg5ybyg7UQkmFg7n/wYW1nbKwtRLXpR0GgGplaFDoT2GtmuPF2CO5FQDOgM2EZlOsR6NwxGo5ZGUewMi38ttABADo37S+1VomMUyLHIdwyOQfX8DuBxOyn+HrLW8iQ3FOmltgG8AohcVHBzspRvILi2+NCgtf8Ov7X8V0yTI6YsP4KxxPKzmCSzsONI266rZbOxUzNFX7Ucj/V1Foq+3vK8BIytTyeOwnrEq+LWuqX2H/1GjkijLreOa6VmSVdw3Lneby99dpwHoladKKRuxs7Eh62UON4OzEWNwVPnOFNJX7P6vFnSnLv1WVX+OLx5xqP999p72aNKWV8nEl3djcfNxHUDQQ1wzXodjKU1GUHVTAM2u8/Z71hC7IHksF0X8ZdcVHVfp1FhYY7f3gFd/7wSoOP0xiktGbqY0wi4DMQ9MWg28KZZn9uBHWjxQhMAJQ3ZiMeBEEQBEEQRxo0bkorafdkUolEIvjqq69wzjnnoEuXLiguLsbixYvRs2dPAEA0GsUHH3yAadOmpTxGIBBAIBBoqpBbBP7KvyE780qEpQ+lvnJsjRUgpEXxeXUZyqMZyNbCKNYrEQIQ2bsIW0M34Dj/TgDAibnbUGUG0FavRLvAPmyqLkDIF8MXFe3Rxl+La9t9jL2xDKytKUWWbSYswOBjAh0zyrG6vASdsstRLQJ4a/upyPJFURrai0JfFT7d2wnHZ28HAGT5wjgr92uU+XZjseiBHhlb4Wcmak0fdG6iKFiJsuAecCbQNrgP1UbAEg00Zos/3C1x83MTMaFBZ6brS6Vi2l/MNWfmuYQPFDXjyBSWuJRo7m0K5mYUOUJMKgHCOZ6pCBymWnbF4kbhrgG44HbWnh2LsMr6HKHBNC3ByzTtUjnDEsgYk5DCkh+kdGZz44gagNCYZ4Y16RGhvH5EwrqRALcEO+vYdcUZR7So02dY4oRz/dRrxyEhbaFESq+opxqMu8JLwqxv1r1z2nuvsXqeVLCEY6vlcwCgAa4xNXPvd9y3yvKWgrssJeLlc4rQlPhaUP2TAHhKA9WsMfcaJumTxuP+UjGhuUKrrpnw8bi5u1M66uDcJ0Mp2XRL5mwBUDW1V6+hepwD4b6MuwAAD1f+2u2D83q4dfvvICTDS6U/bdSx68MwuXU9dNMVIyMxHbpmCeR+biKoxfBkzTNujADwq/CTEGCImDoMyTEha8whj62xMCnBGpHC3Zh9CIIgCILwomaEJ3q/Es2TxoydWsq4KT8/H+vXr0dhYSHy8vLqrfLas2dPE0YWJ60i07333otLLrkEHTt2xM6dO/HYY4+hsrISw4YNA2MMY8eOxeOPP46jjz4aRx99NB5//HFkZGTguuuuS2fYLZKS6v9DedYQCHB09u9CuZGJGtOPspw9MMHw+p4zcWXepcjZ9zY6+3ZDVLyLAbkXY0O0LY72/4A5e85CcaAC7QN7cWHWGqyo7YJVVR1hSg4fN3FK1mYEuIE1FSWoMvzo1/Yr7DEykemLYuO+fKzK6oz8QI0bz7ZIG+T4wmgfKEeVGcQxmd9jfW0xjg9sQ4+Mrfh0Xxds9hdC5yYC3EBU6Ngdy4bQq1Hsr8R3MhcRocPHBALcQJXpd0tzVIS0xBku41/OHUwZT+Qz3awejqid7ZNMYOJMumVzpuAwTM0Vh5L56QCOoBQXGaSUgD1LnDVNPLfLseKxSaCO74/q+yQBuzzOLpMTTDHPlhCmIzpZ+xmMw5TCLYVy+iMlXM8nN2tJWsbLAtaHrSm4m1mj7qsKTs66ZKjlaQJWCSyDjPsb1WlvZZwIMHeWNCDu6aQKUCqu55LdNlk8ThtpX3uW0AdHaBFM2hlvlmm5VM7HmYQJtezNzvQSde8X41IplbPby7jApM5+l8rE3InVwblffs10M644kwjqhpuJlSgcqQKTc+ygFkPY9LnCFGfW7IXqLIQOhmx80quTMXTXrpeVWRGt492y7TX8tv31jT62yh3fz0Ft1Ic2GTFU1AahcYmcQBgR0/o3F9CMeJmn7cH2XGSacu8ZhNTc7ZOrftWshCaCIAiCIAiCeOaZZ5CdbfkeP/vss+kNJgVpFZm+/fZbXHvttdi1axfatm2LM888Ex9//DE6deoEALj//vtRW1uLO+64A+Xl5TjjjDOwaNEi96ISB0YbLQwBjrDU0dG/G9tjbdDBtwcxqeOk3C34wcyBln0JMiv/BgBgFQvRo00/aJDoHPgBnEkUaFXYFCvA8YFt2B5rg71mBnpkfYt8rQrfR3JgSMsrqcIM4cvKUvRo8x0+/KELYlKDITmqYgHk+6vdmMqNTOyI5OKy/E9hSo5qEcDGSFvo3ESQx5ClRdHGV4O9sQzEBEeN6UelEUJZsBybawvAmUBMcncmOkNoSuaMleEkbEFHMAYoX5bdcjHEBQnny7VhC0mpyuIc1Jnd3OwV+xTOmSyhIC4eOJ4+HIhnNKVQoJNlxCQrYVN/VFHLthwRicPK8NCYqHMqtcTOPaethKQ6f304fUwUT5K1M+s5lsa8ApAJ72xwgFfsSiZGOccXiBu9awnxJCvlU/vp3HN1lrmG4C2Hg52xJuN/k5xvf9c6blwPNwvMEUWcPquv0aipuX3QuUDU1JChx6DbJt5c6G6pqZAcfm7AEJpr3m7YQuuU3IP3UnLK+Zz741z3m759HQDwSoeD+/FAYwK6JhAzNWT4Y66ImMzo3ZAcOkzPfReSx18vMj55QLNAQPXiP7D9CIIgCIIgjjQaM3ZqIeOmYcOGJV1uTqRVZHrjjTfq3c4Yw6RJkzBp0qSmCaiVwyoWogCAzL0YbXgtin178V0sDz8Y2XaJm4l/7jsWp2TejKN8O5G576+I7F0EABia1w9RKaExoEYw7DQz0C34HU4ObMO/wx3x6o6zETU15AdqsK06F9+G87A7nIFPIp1weuEWhIUP3bJ2YHVlexQHKlBlBBHgBgr1fagx/fi8thPOzlyPH8wsnJW5Hu/sPRnbIm3w87Yf4O/7eiBDiyAifKgwQghoBmJSQxtfDarMADRIxCRHlhYFNKDSCLoG3wCsTAbNEh80COuLru2vFJE+xIQjRtklcNLxPtLcL8Ieg2j7i7xkll+OkIBp2pkfkkFI6ZZWaTwuKEhpiUoal+CadQxrJjjuEQecqewdkokPdWuGpWdR2tkyQnCrJMsWjKKm5s1mSiKauPEKBmlPIe94RqWabY8nCD9+W7gI6ga4KV1fKwg7M0jGyxbV8j01Lh+L+yKpGTksQVgBLNHAXWfPZOf4TiVePymZew+5LfipZWSJhu/xGffiWmCi8bcUzt+4HxAYwDXhZrCpolti+Z9qjq5eUyfbDYiXDQKAj8WzsJyyT6d8EbDEJc68syTqTACaI0RxhE0fOBMIaTHEhAZLxrNSwtUysmTMik6Bzk1oTCImOGpNP3RuwrA90cYE76uzz/SCWwAAo3fORozFZ2d0uOnb1w9KaMryRSElQ0A3rOvlvE8lc4Vn1ZdK2J8BbvaaLUCGTc0Vqyfs/U3KWfGaEiqXIwiCIAiCaDituVwuFbW1tYjFYp51OTk5aYmlWXkyEU0Dq1iI7Nz+yOAxBFkMbfV92BrNx16ZgXa+SnxVW4oa4cdJOYMQZAZYxULsKV+E/Lx+MCERBUcbLYwg/wGzy/ug1vTBEBxRoaEsVI7KaBD7YkFwSFRFAvj3ro549Ki/4FhfFZ4VfrTV96GDbw+2RAtR7KtAn4xvsNcMokb40V6rgGmXSeXp1VgdaY8B2auxorYzvjdykKsDVWYQMaEhS4ug1vS7/XJEi5AWtWaPU4Qm0xYUBDT3i60hNcQER0ToiAjdyuCQccNrx6coMfuFMQmfLdQIjYEJ2zTbFjYY4rOAxfepm2USF6KsEjpnS6pcGTfTSL2XDHaZHHcN6yR3yt6s41siiVWCJm2xR2Nx4QJMwmTMEqOUGfSccyXLXHIzwxTUbBowW8AyAa5Je3axuDAkpAYGa5Y51VA88Ry6Lc5otkDinIexuKAiJAOTCaKPfR85JESSC2pts2bi49I201buvZPl5rxWEv/nMCbBJPNqfVLpgy0wcS4t0Qne8jgAnmwvKZnrz+SczymzTO7vZL0GnfK4oGYgqFuG3ZwJBLUYokKH3y41DRu6m2UIAH5ueI6Xo4cRs4W6O/wP1L1gAKbXTrcM9SEh4EN5OBc6EygIVCEmOSJGfCa5hypeAGcSD+fcUec4M9v9zPP81u2/AwDMKrkh6XkbwvjyWTAkR24gDMPJlIIlqkZMHZxZJuAcEn5uQEiGgG2IXmv64LOvS8wWyVRT/GaB/d5u1H4EQRAEQRBHGo0ZO7XAcVN1dTXGjRuHt956C7t3766z3TTNJHsdfkhkOkIRFe9Cy+2PAl6DmNRwfHAb1obbo1NgF1bWdMG30XyEhQ8XZK4DcvtDVLyLPeVWVpPztSsE4KccVl1YG+Xg+fZftaqxahh2Oe0tf3D0BADbpilPaaoBGK7BeqOHrcfpSGjg4MfBoe2/yZHMFevnuQLH7DIry2TU96+625N5M7lIy3DaENyTZeNkHUkJyCQlc46w4swj6s4myMw6Ip0ag6lkrDjbk5XjuQIT4rc/MYtKnUEw8ZyCWeIY5wISHExIgDM3m0mdGQ+2Sbjq18WY9GTwJIp4ibMMMkWsNG3hTM1y8muW4befOyKT1d7PTRiSI2zEP+atMjErUJ2b8DHhzt4Y4AZG+CbUuV4A8Gz4KfjsMsiIsI6X46tFjRFAtRFAVGhuTGFbdG6oQHMw4pIDZxKV4SBKMytdocvPTVSaQVcQdkw7ObOEJp2biAodUaFD02J1Xj8AMCXv4MsEDwmJ008eyH4EQRAEQRwU0/J/nu4QiAOlMWOnFjhuuv/++/H+++/j+eefx4033ohf//rX2LZtG2bNmoWpU6emLa5mZDpBNDWi4l1olX9H++q3sNfMQNfATuwxs1Co70MH/x50DezEXhHAbjMEM2dAusMl0sAfjxmKt350BV7rfLW7zlM6aBPPYhKu34/OTfi5Cb9mWj5ATEDnArpd6qXOthb3tIof0/EccsqfAEsoyNBjyNBjyPJF3cycmLAyVhwzdmFnopmKcbtzTOf/hzubmrR8h5xSyXgmG7fL7uJm28LOKtKUrCSuSXBNQPOb4D4BrgurTI5b7Ti3MpqcZWd/pwwu0fTb+atxCV0TbiyWt5ZETGiIGvGMPOtaRJCpR5HtCyNHDyNTjyCgiE6cSUTt6yJgZfEEuPXI0GLI1CNJBabnItPwXGQadGZCgGFfLAgArpjEmUDUzv6xMgG5e585k7hr18sH8GprHHftehnlkRDaBGoRtcvchGT4vtpSuTN9UWT7Im6pXNS0hKVa04da0wfAEu/Cps8zAyJnEuPLZx32+BsCk41/NJQpU6bgtNNOQ3Z2Ntq1a4chQ4Zg3bp1ddp99dVXuPTSS5Gbm4vs7GyceeaZ2LJli7s9Eolg9OjRKCwsRGZmJi699FJ8++23h+IyEARBEARBNIjDPW5qLvz1r3/F888/jyuuuAK6ruOcc87BL37xCzz++ON47bXX0hYXiUwEAOCY2t9Bg0BY+JCvV2OfGcL/Iu2w28wCAGiVf09zhERzIbHcKRVuhhO8s50l4noWecoLLYHFZ3s7cSY9WTrObGkqcWGIwbTLAk2hlD8qvltCEZEc/6bEZWf2vUShyhGCuB2zxgU0TUDTBXSfaf3VTeiaCV0T9sNadoQjryl43KfJOb46g54j6mlMNVS32pqSwxC2sMNMaJDujIyZegQ5etj1ZQLgZpXFhAZDaghoBkI8ip/ySW7/5poP46XYZDwfjf/64ZhgB7WYez/8PG6c7fgbRYWGsKkjbFqlc88U3tyg10pjGLfnRTxU8QKCmoFMXxQ6FwibOqKmhuqYH9mBMHICYVdIDJs6DMFRY/gQNXXUGAE7doaqWNAusZXuX6dvd+16GaN3zsbonbMPW1+aAx988AFGjhyJjz/+GIsXL4ZhGOjXrx+qq+MTNXzzzTc4++yzcdxxx2Hp0qX4/PPP8dBDDyEYDLptxo4di/nz5+ONN97A8uXLUVVVhUGDBqUtXZsgCIIgCKK1smfPHnTp0gWA5b+0Z88eAMDZZ5+NZcuWpS0uEpkIl/bVb+G4wHZLbJI6wtKHH4wc1MiDrUkjWhvTC27Bk/kjPOVED2WP8kz5bij+Ng5upkiC4KRmMFmzkAkE9Vh89jSlrTv7n+Kd5JCYdeSuq6ckzTmmavLtCExO7M46JxamiF2OSMSZ7b1kP9e4dDOXHCEtmbdSYv/jMdqlcUqBuONHpfG44GYJOz47HgHNFqR8zERAM1AUrER+oMYtVwzaMzHqzASHcP25vNcjboptSM3yXDJ1hE2fXWKmxc3EYZXeORlETpwAcM/u39bt2CHCuTcZegw5vgj83HSFyJAei8+OZz8cEUyAWWKUsA2+RXwGvqipu8tAXCiVkjVYXD0sOCl4jXk0kIULF2L48OE44YQTcNJJJ2H27NnYsmULVq5c6baZMGECfvKTn+CJJ55Az5490bVrVwwcOBDt2rUDAFRUVODll1/G9OnTceGFF6Jnz574/e9/j9WrV+O999475JflSGXBggU444wzEAqFUFhYiKFDh3q2b9myBZdccgkyMzNRWFiIMWPGIBqNpilagiAIgkgDh3nc1Fzo2rUrNm3aBAA4/vjj8dZbbwGwMpzatGmTtrjIk4nwUFA1DwUAyrIvRbUIIAbN8yWXIBJ5NPd2z/PxmXda6/c9535ZTzRRriMMCQ6/z4CPC/h1I7nwAeYa8jkCg+HMImeXsZlSgymYW37HbbNzx9ibwzuDGxRPKVdUMePG0arxN2PxuBkDNE3Y6+P+TUDc4BuIl+RpXLizwzk+UZxL93+Zc/ykfQbc8jNTxk3oNS4Q0KxSwqjQsM8IIsINhLQYfMyEjwMcAllaBFlaBG18tQCAWuFDiMfAmUCAG7gCkwEAb8qHICRDzBaVDakBtgG5kBw1tsk+h0RU+KxSSLskz4nTKUlz7ve0NofPw+DJ/BEAgCnVM2AIDVWGH1EzLhhJyWAi7gGmKaWD4IAwmTsLnxO30z/OJCDhzjqo8fTOacuE9WjMfo2loqICAJCfb5nsCSGwYMEC3H///ejfvz9WrVqFLl26YPz48RgyZAgAYOXKlYjFYujXr597nNLSUnTv3h0ffvgh+vfv3/iACADAn/70J4wYMQKPP/44LrjgAkgpsXr1ane7aZoYOHAg2rZti+XLl2P37t0YNmwYpJSYOXNmGiMnCIIgiKajMWOngxk3pYuf/exn+Pzzz9G3b1+MHz8eAwcOxMyZM2EYBp5++um0xUUiE5GUnH1vIz0THhKtBSEZJuaMxEMVL8S9j0R8KnlTMdd2xCCnvE1jcL/0Ty+4xc2IScyKMmyvIumKPxJSKW8Tgtvr4O7PYc1EqNkG2PFZ3GxBRcmEsn7UUI8dL2ezVgJCAlI6wk98tjjA6kOikTeHVTIXF7CcPsWzmuIZQbDFM/t4mhWzIy4F7RnSALizIxpCg85NCMnh4yZ0ZpUpGVKDnxuu2MQhcDV7FG/Kh2wzbx0+ZqLaCECAoVbxKFKvt1+zyuRqDB/yMqqt9m4JnQFDaHg4t+6scoeDZ8NPQUi/XQKneWYHBADTvv8c0i57tIzbHfHIEZe4jM/8KHg8a02AYXrBLQCAO394BTPa3tQk/arDQRp/V1ZWelYHAgEEAoF6dpO4++67cfbZZ6N79+4AgJ07d6KqqgpTp07FY489hmnTpmHhwoUYOnQo3n//ffTt2xc7duyA3+9HXl6e53hFRUXYsWPHgcdPeDAMA3feeSeefPJJ3HxzvBT12GOPdZcXLVqEtWvXYuvWrSgtLQUATJ8+HcOHD8fkyZPTNpUxQRAEQTQpR4jx91133eUun3/++fjvf/+LTz/9FEcddRROOumktMVF5XIEQRwWJuaMBBDPdHLEkOeKhgOAm33kzsQG669TgqV6+jhf9B0Sy9scnHIyFc/McSJeDud4NFlt4Po1OcdPRM06smL1lvs54pAakzq7nXtsO0NKCAYh4oKYk32lnkco29TSQcYkfFrcE0n1RuJMImz6EDZ9rvdSte0/tC8WtGeoE8jQrPKZmNRQZQYgwBGTlkAVc0vIuFsi5wqEkMjSI8jyRQBYglemHoWfW4KXc98PN78KP4l9saBV8qYYtqs4ZYzOdkNy12PL8d0yBI+bv9v3ziql4x7fLyEZ7vzhlSbpWx3kQTwAlJWVITc3131MmTKl3tONGjUKX3zxBf7whz+464Sw3peDBw/GXXfdhZNPPhkPPPAABg0ahN/85jf1hy+tGRmJg+Ozzz7Dtm3bwDlHz549UVJSggEDBmDNmjVum48++gjdu3d3BSYA6N+/PyKRiKf0USUSiaCystLzIAiCIIgWzUGMm1oyHTt2xNChQ9MqMAGUyUQQRBOQOBV8fdPWj/r+1aT+N2pGiZt14sk6Yu6sbFJKt1yOMUtcctqZwio1k8wqdYOSReV8Dxai7hdi4YgsdjmYqtDHhSEGR+ewMqSski0HZ1k9vlrG55by2fH6dBOm4PZsdvHtOhcIagb83Doid9ebiArNFYX2REIIagYy9BjCps817nYyof4gfolqIwQhGSKmjojQsc8IuEbfjtiilpM5gozj7TQ2eG+qW3nYmFz1K4TNLAS1GCpjIYQNHZxJxCR3s5ec+8016xq5rxNmZTPpLF7W55T4AdZryhAchn2H79r1MmKmBp8mDquReX0wKcEa8euas8/WrVs9GSz1ZTGNHj0ab7/9NpYtW4YOHTq46wsLC6HrOo4//nhP+27dumH58uUAgOLiYkSjUZSXl3uymXbu3Ik+ffoccPyEl//9738AgEmTJuHpp59G586dMX36dPTt2xfr169Hfn4+duzYgaKiIs9+eXl58Pv9KbPJpkyZgocffviwx08QBEEQTUVjxk6NGWulEyEEXn31VcybNw+bNm0CYwxdunTBFVdcgRtuuCGtP/BRJhNBEM0KJ9MpFTPa3oSZ7X5mZSIlZDQ52T+6Zs34BgDRmIaYoSFqaDBNK4PIMLkrGhkmVzKGnAer83AQIn4MUzB7WYOwZ6eLGZrnYZrcPa8QDKYZz15yMm1U1G2mYJ7tUjKE9JglMGkm/JqBoBZDUIu5/kjOzHuOOBQVGipjAWT5wtC5iUojiAwtAg6JSiOEKtOPWtOPSiOIilgINYYfVTE/9kaDqDGskrkaw4ewqaPG8KEq5seucCaqYkE3QwoAptdOx/Ta6ZhSPaORdx64b89LDWqX66uFkAxh0wcOiTYBaxa9TF8UQT0GnQlr1j9bGHPLMpXMr4ipu1lNqkl4bcwyUY+ZGp4pvBkxUwNjEs8U3oy7dr3c6L6lk5ycHM8jmcgkpcSoUaMwb948LFmyxJ2pxMHv9+O0007DunXrPOvXr1+PTp06AQB69eoFn8+HxYsXu9u3b9+OL7/8kkSmepg0aRIYY/U+Pv30UzebbMKECbj88svRq1cvzJ49G4wx/N///Z97vGSDyvqyycaPH4+Kigr3sXXr1sPTUYIgCIIgDglSSlx66aW45ZZbsG3bNvTo0QMnnHACNm/ejOHDh+Oyyy5La3yUyUQQRIvk+aJhuG3HXPd54mxwjlhkekrSAG5L60ICTMTX10ed8rkE0QKALTjZPksAGGwfJ6ccMGEfx5Bc9XBy1llZWNIVzXxMKCVxzM0qco7HmQBncDOQnBIwIRky9BgMwVEU2IcMHkVMWqVwMXvWuKjQwSHdDCXAymACrIypqNAQs/2O/JrpXouo0ODXDPwq/KQTiVWudxC5xo6Z9/6ICCtzSWcCXLf+OqIaAEQBwH7u9AmAa8AeMXXXDNyUHLCzn5w2zsyFDs71TlZG2SQcpCdTQxg5ciRef/11/OUvf0F2drab9ZKbm4tQKAQAuO+++3D11Vfj3HPPxfnnn4+FCxfir3/9K5YuXeq2vfnmm3HPPfegoKAA+fn5uPfee9GjRw9ceOGFBx7/EcKoUaNwzTXX1Numc+fO2LdvHwB4sskCgQC6du2KLVu2ALCyyT755BPPvuXl5YjFYnUynNRj1JfdRhAEQRAtjlbuyfTqq69i2bJl+Mc//oHzzz/fs23JkiUYMmQI5s6dixtvvDEt8ZHIRBBEi+U3xdYH503fvu5Zr5bHSckgRVx0klKCawLCtDKLEj2cHBNw56+KO5Od/VwthRMi7qnkekzZRuCO4AQgLjoBECZ3faniJXNxofk5FgEAAEphSURBVENKBl0zFc+quEG1zoQ9E5qAkBwBbiAGQAjNMucWVhaTkAxB3YAGgXIjA0cFd6LCzECt8GOfEbRni9MRNnU7O0h3Z+0zhOVhZNqiVU3M75baOTPnxSR3zcYBYFzm2EbcSWDcnhcBANPy9z8j3T2he/Ar9iTGBO9L2WZ8+SwYkrszyDmlbqO+f9XtA2B5Sjn9tBDufb7j+znw2TP73bfnJXCWpuRfCaAxM54cwFjphRdeAACcd955nvWzZ8/G8OHDAQCXXXYZfvOb32DKlCkYM2YMjj32WPzpT3/C2Wef7bZ/5plnoOs6rrrqKtTW1uLHP/4xXn31VWia1ogOHBkUFhaisLBwv+169eqFQCCAdevWudc8Foth06ZNbjZZ7969MXnyZGzfvh0lJSUALDPwQCCAXr16Hb5OEARBEERzojFjp5ajMeEPf/gDHnzwwToCEwBccMEFeOCBB/Daa6+RyEQQBNFYXulwHQDgxi1vuGKSkIqIxAAzZptZA3AqhSWT4NwWf2AJJ6rxdqKRtBDMTlGSrnjl+is52VPKObkm7HIXCUefYEoGExAXnNRzOEKUrglPZhC3zxs1NdcgPaTF4iKPAMIA/NyEn5swYhxhU0dQM9AxsBsmOCLCh3IjE3tjIXBIjMsc684A6GQwSdskWwqGmKm55waAmJ3BxCEhbIHJwcdV2a3hjNvzYoPEJZX6BCagrg+Yw3NFw10D7xltb8KI734PjQv4uGllvkmO54uG4Y7v50Bjwpp9zi5BTBcH68nUEGQD295000246abUs+wFg0HMnDkTM2fObPC5iYaRk5OD2267DRMnTkRZWRk6deqEJ5+0MgmvvPJKAEC/fv1w/PHH44YbbsCTTz6JPXv24N5778WIESNoZjmCIAjiiKG1ezJ98cUXeOKJJ1JuHzBgAH71q181YUReyJOJIIhWw9yO8ZIT1Yzb+SslA2zxyZPtBHgzn5yHcmy3VMoRn5wsXKUUz5mZwt0ueF2PJzUWJDcZB5QZ4xD3mgLsLCc7l8oy+tbBbcEpInTFDFwgS48iyxdFli/sHnePkWn7ETE3+8gpr3MyfhwBzHTjt84fs32npC1IOedN9JU6UHQuML581kEd40CY0fYmzGhrCSUaF65gx5jE80XDMHrnbE97R+jzN1JEO2isF00jHukJlzh8PPnkk7jmmmtwww034LTTTsPmzZuxZMkS12hd0zQsWLAAwWAQZ511Fq666ioMGTIETz31VJojJwiCIIgmpFFjp3QH3XD27NmTsgweAIqKilBeXt6EEXmhTCaCIFoVjljkLAOAacb1dCngpg8J2Eo7sx6OCOSWtiUITWDwCEmJ5XHOcRLjASRgZzhJMIBJQMlo4kxC0yyjatX42/WUYhJMxEvU/Jo1i5yPCWTqEbe/mXoE1UYAub5a5PursT2ci5JgBQp9+2CCo0b4UWUGEJMcYdOHCVljANTN+pnZ7me4dfvvPN5EXMY9iwBLcHGMxn3chM5MjAqMO6B75TC5zW2N2u9AuWf3bzG94BY3k0lIBh9HndkMY0JzZ/cTkiEsdOhcHHC21SGjCTyZiJaBz+fDU089Va9o1LFjR7zzzjtNGBVBEARBNDNauSeTaZrQ9dRSjqZpMAwj5fbDDYlMBEG0Kl7vcpW7fMX6eQBgzTQnGaSwytnAVCEJABgcOUlKFheLEv/XOGKU7fEExE29XS8nrs4GZx/ZFqu4JuKu4NwSkfyaAGPSNaUGk+6sZ4CV6cQ1CVMySENDwGcgbOgIBgwIxAW1PF8NwsKHzsHdAIAAj6HEvxdttBqYkmNLtAC7o1mICB06N12BKRWzSm7ALdtec4UvUzBodpwB3XDLyALcsI3HJZ6PTsUd/gfcY0yvnY57Qvc07MYl4b49L6GNv3a/sTaU6QW3APAaeKsm6g6m4NC4gCm467t1sNlaBEEQBEEQBHEokFJi+PDhKSfuiEQiTRyRFxKZCIJotfzxmKG4fP08a7Y2zRINmFY3HdYRmrwr1e2KQXgd4Sm+goF5fwSxBSXVSJyxeDld3JcpXhrn4wJCSM/scyo6Ewjqhlu6FRE6CnzV4JDI1WuQwa1/Kj5mIoNHIMARlj7sjGYjKqyPfOdvQ3DEFvX6cCY9pWOOAKMlXBztIIUZDunxfDpUqMKSYwjuOa+dXQZY98Tyn0rTzHJWEHVeng3ejyAIgiCIw87Qvyx2l+cNviiNkRAAGjd2akHjpmHDhu23TbpMvwESmQiCaOX8yRaaIACuCwiDx//pJJTHOSQafjtG3vUi42VwbrYS4sKSYxYOxM3GndIzR3hySuFCvhhqYz43DsPk0DUBwYCw4UOmL+qadBf4qhHgBrK1MAI8hiCLQXM8mqQPe80M7Ii2wb5YEHsiGQjqBh7OuaNB144xiUhMh8Yl/LoJjQuE9Bgy9Bj8mgEfN11fJh+zRKeXYpMxwjcBz0enQk90NT8Axu15EVGhIYeH99/4AEkmLKnMKrkBAHDr9t+5HljPtU1tdn24aQrjb4IgCIIgiNZCazf+nj179v4bpRESmQiCaPU4lW9ck2BMeMy2rWwhrw+Ts97dOQHPzHOqIGWXzQlhld9Jaf+FleXENeGW06nn9XETjAF+3YDOrPK5UCiGmpgfUcMSkyKGDsYk/JoJAYYcXxghHrM9kQz4mAENliASEz4AQI0IYEe0DfbGQthRmw0AMGINn+8hqMcQhs8q5bPjDGpWjI4ZtpAcPmbAZwtmpn097vA/gFnRKXg+OtXydpJ8vzPCOUypngHOgklL2ZoSR2xKO+TJRBAEQRAE0XBauSdTc4dEJoIgWj1/PGYorlg/D4xJmODggMdTyclUYkzWTZV1/t+4mUnxWeoSUU3ApZLRxNSsJnj9fXRNQOPSneXMEZL83ETM1BCG7ppQS8ngs7f5uIlMPYIgj7lZRDEZLy2LSQ01wo8a04dqww+dC0RN7YDKvrjtwQTAzlqKx+0agjPvBVNL5DgTgLQyx4QEfhV+0t3PVOLQmMTY4L3xY0tmCUwCh8yPqUVDIhNBEARBEETDIZEprZDIRBDEEcEfjxkKwDIDl5rqo5QAl5Y5uIIjGEkJSMGtGeqUA6hVYa75t4Q1dZ1U1qun4QI+3YTOBXTNEpACuoGoqSFDj0HYz2tifvh9VsZSQDOQH6hFti+MNr5a5Oo18DETGiTC0ud6IoWlDxHhw8baQmTrYddDKWpqmHEAZV+cSas0z9Sgc2HNKGeLTkIymJJBZ4AJhpjgbjbTXPNh3KhNxAjfBADArOgUOPNbcEgIWCbiHLJOdtNzkWnwcz/Cpg9ZvggmV/0KwBEuNpHIRBD7ZcjfF7nLit4O4VcmY0j4wFc1ci3MUiwr7RMm6tFiyhPl7fb6zfv3Y7nulcWe52ossQxlfdz+Dlw5H1di0aLeY6v7MKEEpvRfaIrPnun9rAhUxJ9rkXhgkTbxCxvNSv6DBU+4Rur51biEHt8/mqO0T/jYYg1IaNUUf9u5I8kLh2g6rpkTfx/76Ft184JEprRCbweCII4ofLoJ01Mu590uBIOprBSmtexkLwmTWSKUaxauqEduCR0AJsG4BNclGLeylRwzb+4+t3yZfNyEX7NG31m+KPy211GWzxo5O5k9Qc1Au8A+tPHVuBlMjrCkQYIzgbD0ocYM4IdoNnRmYp8RhJ8biIoMxA7QRNsx9/b74llMOhPubHJWbBxc+eag28tzzYcBWBlVt/p/AQDu7HO/Cj8JzgRGBcbVOaeQ3BKYdKvvUaFDSIaJlc8DQIP9pFoVZPxNEARBEATRcFq58Xdzp+HmHARBEK2AP3S9Em/96Aq89aMrwFh8JjHnwZS/gCJCSXvmOAnb3JtZ/4wEsx6m/dz9EcQqq5PCyn5yyvEcLydh+zc5fkc6s8rldG6JODoT8HPDzULikMjSI8jUI/Ax0xWYuC36OJ5MNWYAEaEjR68FZxKmZAibPuhMNGqGNG6X7wU1A0HN8AhM1nZhxyHBk/x3Vsvn7vA/4O6TjJdik62+cxMBzYAhueXnBGb7OqVxhjeCIAiCIAiCsJkyZQpOO+00ZGdno127dhgyZAjWrVvnaSOlxKRJk1BaWopQKITzzjsPa9as8bSJRCIYPXo0CgsLkZmZiUsvvRTffvttU3blkEMiE0EQRyQ/2/q6JfAoD8eMG4h7JzEuFaEJVhaTAKTJIE0GxDgQ5UCMQxoc0rDXm8wWpphdZsfAuIRPN+GzZ2rz2ZlCbpaQLTgFtRgCmgEfE8jQY8gP1KBT1h50DO1BthZGhuYITZaw5GMmgjxmZTdxAzGpwbQ/3itjIdQYfoRNHaY4sI98nQv4NdMVvHRuIlOPIqTFkKlFEbBFMCA+u1xE6K4I5ghPc82H8ar5qHvcUYFxniym5yLTAFhZTBGhw88NjA3eCyG5R2B6NPf2A4q/teDMkNKYB0EQBEEQxJFGU4ybPvjgA4wcORIff/wxFi9eDMMw0K9fP1RXV7ttnnjiCTz99NN47rnnsGLFChQXF+Oiiy7Cvn373DZjx47F/Pnz8cYbb2D58uWoqqrCoEGDYJpmstO2CKhcjiCII5LZZddh2NY/uM+tDCOpzDIHe3Y4WIoTs1283R0AZnoNwBkAcDvRiUswk0EyBq5Ja8Y5ztxyb13zZvNwJu2SuBh8Sklax4w9CHAD2VoYPmYiwGPQYG3TIKApWUFRqSPIDPiYiZjUUGv6YAgOQ3BETB0vlf70gK6Rm2Flm34HuOGWw/ns84a0KDiTqDYC0LmJLC1ix8RhSrixOGJTROgQMi52VRpBBLj1PCY5NCYRMXVMqZ4BQLNmsWM4YgUmAOTJRBAEQRAEcSA0gSfTwoULPc9nz56Ndu3aYeXKlTj33HMhpcSzzz6LCRMmYOhQyxt2zpw5KCoqwuuvv45bb70VFRUVePnll/G73/0OF154IQDg97//PcrKyvDee++hf//+B9aHZkKzEZmmTJmCBx98EHfeeSeeffZZAMDw4cMxZ84cT7szzjgDH3/8cRoiJAiitTGn7Fr8bOvrAKyKN6mUsEnJYAqASQbplLoxKxtJut5LTtqTtJUl60DM9ltyLJuEyeALxH+NsM5j+TKppWcA3IyhDC2GAIvBx003M0gVmABAY8I10jYlh58ZqIEfGVoUFUYIUaFbs8oJDc8XDTvg6+P6L0Fas8vZZXEaJHQez1YypAadm9CYRIYWQUT4oNnleU5GlTPznSMwmYiXv3Em8Gz4KZjSK0A5HJE+TCpC1nXDbeh+BNFIbnrtfWiBoPVE0cTVl2Kql2Vi0qRMYQenVs4Kf3w5lqms9yXsxJWTKv563FAEf1XDr05dZqt+3Kjm0VqtsqyYbdcx/lYMt5linj382bgJuWqEbYSUeBOuiWrqHdyjzEBaE++MHlFKlRVDbh71/trNY/FtTF0WyoVRv0zV40MiA/FAfZXJvzbwaIpzAJBa/CJHCgPusumPrw/tVszBEz+3FI9E06csB5Rl5bVz43NxI+bE112Sfy911qv7vH4TmYgfqVzxx9TG/HpVfJmneBtd9Yf4/m9d23pfR+oEBmb87e2ZZMGx7TQjyiwKTUFjxk72509lZaVndSAQQCAQSLaHh4qKCgBAfn4+AGDjxo3YsWMH+vXr5zlW37598eGHH+LWW2/FypUrEYvFPG1KS0vRvXt3fPjhhyQyHQwrVqzAiy++iBNPPLHOtosvvhizZ892n/v9/jptCIIgGsvssusAWOVz1j8jbmUjSWtZSmnJJBxgTEAwDgEBMFveUbOZlLI6F3udEdPANQHJmevNpGumZfrNLc8j3S6f05QDJApMQfWbCABhnyAsfQgihiCLoUoGUWUGUBULWD5KaJzYMDFnJKZVP2uXvUn3XDo3kcGj8HETpj06z9PDGCyn4q+4HwBgSg4TlqeSI0YJySAYQ0xqEJKh1vRDSIZqIwBDGeULyfFQ9qhGxdwqoUwmgiAIgiCIhnMQmUxlZWWe1RMnTsSkSZP2s6vE3XffjbPPPhvdu3cHAOzYsQMAUFRU5GlbVFSEzZs3u238fj/y8vLqtHH2b4mkXWSqqqrC9ddfj5deegmPPfZYne2BQADFxcVpiIwgiCOJ2WXX4WdbX7eMv2GJN9ZMcBJSSjBm+SsxLq2yNyHhzO2WzMeaCQbJpKVbSbjeTqbJIXUrxckUHILbxtZgniweUzJwLm1Tb8fo2zqRIxppTCBs/8wfZDG3NM2ZRc7PTewKZ2BG25safV3UTCs/N6DBKptzMqwCPIZLxBOABP7G7wPAcAUm449sAq5mj+KPmABTcnCYiMGKyxCaK1gBgCE5DKG5Rt+J2V1EI0WmRoqLBEEQBEEQLZvGjJ2s9lu3bkVOTo67tiFZTKNGjcIXX3yB5cuX19nGEqaydr5X1BtJA9o0Z9Ju/D1y5EgMHDjQrUFMZOnSpWjXrh2OOeYYjBgxAjt37mziCAmCOFJwspoSYXa5HOfCMgvXJBgX1kOTkNz7T8z1ZHISnLh0s524XW7X0JnS1Kwmx39JY5YXk5NFFJOam+EUkzoi0gdDaNgbDR6SGdkcg3Kg7sxwl4gn6rT/Iya4f50YnTgCdu2IaV+DqNBh2KKYM8MfzSJHEARBEARBpIOcnBzPY38i0+jRo/H222/j/fffR4cOHdz1TqJMYkbSzp073eym4uJiRKNRlJeXp2zTEklrJtMbb7yBzz77DCtWrEi6fcCAAbjyyivRqVMnbNy4EQ899BAuuOACrFy5MuXNjkQiiETihfWJNZUEQRD1wSEhmKXAS9ufCXB8lOxZ4KRAjGmWb5Pt4yQdHcb2YmIMAJdgmgTjANec2evi5uIaF9C5sMy17RncHNNvJ3sJsIQdp8Qsg0ftOAVi0NyZ5MLChwozA/vMIEzJMCZ4HxA8+OtxX8ZdAOIzwI3wTYhvTPiBKGx7MZl2RpKPW5lVhm38LWAZkAOAxiQMOKIVlcfVC5XLEQRBEARBNJwmMP6WUmL06NGYP38+li5dii5duni2d+nSBcXFxVi8eDF69uwJAIhGo/jggw8wbZo1ru7Vqxd8Ph8WL16Mq666CgCwfft2fPnll3jiibo/5LYU0iYybd26FXfeeScWLVqEYDD5N6Grr77aXe7evTtOPfVUdOrUCQsWLHAd2hOZMmUKHn744cMSM0EQRxZWJpKEENwVhuLbJDRNQOoMUjiqkpqBYwlMbtaTXXqnawKcS/g10xaWTOhcuIbfAW54hRyBek1Z6waNw/LJbkgNYwP3Jt3mZC6ZUkON8LuZSBHTh5hwMpmsoEzlGnEmMSFzzKEPtrUh7JrLRu1HEI0jc4eA7rNLdKNKRmVMMWk2lNeYagie8Nrj6j7KIF5q8c8DoS4rptBCT8hs9H7Mxs+hGG8z5Xx6rZKJmWCQLXXlPMo5JT/wbEr1WnBDmfWzTdy5PBZJXUDgq47vE9pek7yRclzpiztUs4Rprlks/pwZyf+ByPrKMJQw1WOziLIsGviPSbnfGfvCSdeDqydMKCtRXhfSH//nZgbjy0aGlnw55D2WahCubhOK2Xcqk/ojhSFr/+wum9H4xRCR+DKvqeciqZPwKlne75x78UHFdeniuJm+8KufJ/E2vkrv+0s16tcVM3+PtaWyf0S1xEmYcIApb7FYdvJjqW20Jva4PhRc+2rcxNsz4YL62e79qPGURPlUQ3Tlumj2hAVmtInHJI0ZOx3guGnkyJF4/fXX8Ze//AXZ2dluxlJubi5CoRAYYxg7diwef/xxHH300Tj66KPx+OOPIyMjA9ddd53b9uabb8Y999yDgoIC5Ofn495770WPHj1SVnq1BNImMq1cuRI7d+5Er1693HWmaWLZsmV47rnnEIlEoGneD7GSkhJ06tQJGzZsSHnc8ePH4+6773afV1ZW1jHvIgiCOBAco27nr5DMnWHOKoWD/Z823g7M9mHilqhkPSyxSePWDHHMLg+zZnGTbhZTc+XZ8FMYG/QKTW/KhwBwxKTmekYJcJiSQVNGf464pJbCOVlSxH6Qwno0Zj+CIAiCIIgjjcaMnQ6w/QsvvAAAOO+88zzrZ8+ejeHDhwMA7r//ftTW1uKOO+5AeXk5zjjjDCxatAjZ2XG18plnnoGu67jqqqtQW1uLH//4x3j11VfraCEtibSJTD/+8Y+xevVqz7qf/exnOO644zBu3LikF3X37t3YunUrSkpKUh63oVMMEgRBJINZntweHGHJNDRwLlyBKS40WYKSlLZRtiMgKeKSk8Hk4yY0Lt1SOb9muhlMdbKYmhFjg/dieu10z7q55sPgzPqsFpIBjEODgAADZ7BL/DhiiqH5qMC4Jo27VUDlcgRBEARBEA2nicrl9gdjDJMmTap3drpgMIiZM2di5syZB3T+5kzaRKbs7Gx3ej+HzMxMFBQUoHv37qiqqsKkSZNw+eWXo6SkBJs2bcKDDz6IwsJCXHbZZWmKmiCIIw0pGUzBYAoOKRgMQ4cUHJrPtEvomF0OZ/1vYnYGE7eNwn26JSrpjmk4s4QmxiT83LTK5JiwPJSaOfeE7nGXn49ORYBrrjF5gMVg2hlNAnGzb9OeNa8l9K/ZQuVyBEEQBEEQDacJyuWI1KTV+Ls+NE3D6tWrMXfuXOzduxclJSU4//zz8eabb3rSywiCIA41HBImGKSEJS5Jy3fJNDkgGcwYB5iEpjtm3nD/gsEthdM1YWUtMUtg0myTb0ds8mtWcbvOzfoDamY8G34Kfg5rVjhuQmMSJiyzb6dUDkCzzcoiCIIgCIIgCOLw0KxEpqVLl7rLoVAI7777bvqCIQjiiIQz6YokUlrCkgQghCU0iRgHwCBNBsmZm7nkGINzu0zOymCyyuF8mgmfbfDt+C9ZZt8mMvVoHZ+j5s7Y4L14LjLNmiFOaDAAmDzuuSRkanNbohFQuRyRBnL/Wwlds2frjaUwfFZ/9VVm9kVYWQYAU9lHNdVWDZ9TLScaVKv7++LutDKoONUq+3vMvQMJbr4KzEz+fqnPBFzdZmYp59F0pU28vWOAay17vT/8e6PuMi+PO+iKHTuTnlvLzoo/Cfi9G5XrAj1uPyE91zjpYevFY9rOkx+AJX7uqM9TfSbVc1z1npkhxew7M96vmHLto5nxZSPDexrV+Fs1NvbM69ECrewGL1JMsX3KtdSVjmkp1gNgyjZUxydjCv4Qv8aB3fEmQrmOZsJLL9Xr6vJ5i5NvUI3C67Gf0RU/R1alLCv3q76hh3q/lUN5jKz9FfFlTTUHh9dEXMVjcK0YW6u/Hd78xCKkQo1ZKN/KhU/5bElwgXntlotSHi8Zw34Vv/bqJAwAYPrj51E+KjzXVd2HJ1wHPaxOshDfyVcVb6jVWsuG0cRu6E1QLkekplmJTARBEOnmt+2vx8+2vg7AEpkkANPgECaHNOMzyAmDQ/OJOgKTrglomiUucSYR0Az4NNOdRS4uNAlMyGq5M6txu88mGDRYYpM6c9wd/gfSFVrrQ6KRItMhj4QgCIIgCKL505ixE42bDhkkMhEEQaRAnUVOCntZwvrZ0/FggiVG+XTTzV7ycQFdMxHQDFdUcjKXrCymllUelwwN0poJz/4ZTp09jsy9DzGUyUQQBEEQBNFwKJMprVBNA0EQRAKOxxIAQMZnkbM2WsoSU8riAj4DQX8MIV8MQd1AUI95yuMcgUnnJoJaDDoT8CfmHLcwuJ1LbcIx92YkMB0uhGj8g2hVrF+/HoMHD0ZhYSFycnJw1lln4f333/e02bJlCy655BJkZmaisLAQY8aMQTQaTXFEgiAIgmiF0LgprVAmE0EQRAIaF5CmV4NnTALc/uvMIGeLTH7NdM28NW79g+KqR5PysNYJz0xtLRHH1Pu5yDQAIHHpcEKZTITNwIEDccwxx2DJkiUIhUJ49tlnMWjQIHzzzTcoLi6GaZoYOHAg2rZti+XLl2P37t0YNmwYpJStampkgiAIgqgXymRKKyQyEQRBJMDtmeK4LSipMA4wLsAYoGkCPrsETuW5ouFNF2yaIZNvgmgadu3aha+//hqvvPIKTjzxRADA1KlT8fzzz2PNmjUoLi7GokWLsHbtWmzduhWlpaUAgOnTp2P48OGYPHkycnJyGnw+tnMPGE909QWgK0NHPYVTrz9hP/XXYbMB5cLqQD/R+Ft9rp5f/QFaOZ9qRM0TfqSWhmKK7VOMu32qW3dqs2ymGJ+ryaksFj+RVqMY4FYpxrcV+zzHMnf+EF9m8RPxUNyIGVqK6617h/MyI+4ULP2KCbmmZuXGl2XiNU6Bx/hb3cdj3uw9lmqOLjX1GsfXC3/y9QBgBFUD5BTLqqG3cikSjaQ9ScmqsbGaWKy89K57JW6YzBJetur+6j7qcMBjCh2p58urev2U15ja92hu8jYA4Fevsed6I+mySPC/T2UWHskXynK8PY/Fz8Ej3vulKUmTXFn2KS93zXNd4suJ5trq6019XRghJF02lbcKkNBndb4B9VYo67UaZXXC/fa4HCj33mP2rcTPjdRm2er987xG1Reo0ndmeK/x8GfiRuLq6019TaqG3uo1kpmp3+uee6eYfftqlOVq74eoXh2/MPq++AG0vdXxRvZEEFIkTAhBtGpIZCIIglC4a9fL0LgOIRk4F2DMMvaWYGBcAkyCa1bGkq6Z8Ovxf7CzSm5IY+TpYUzwvnSH0PqhTCYCQEFBAbp164a5c+filFNOQSAQwKxZs1BUVIRevXoBAD766CN0797dFZgAoH///ohEIli5ciXOP//8dIVPEARBEE0HZTKlFRKZCIIgFPzcdP2FNC7BAHAuITVLbOKahK6Z0DUBXbN+0WFMQkqGW7f/7ogUmojDjJBo1JQnggZLrQnGGBYvXozBgwcjOzsbnHMUFRVh4cKFaNOmDQBgx44dKCoq8uyXl5cHv9+PHTt2JD1uJBJBJBL/hbmysvKw9YEgCIIgmoTGjJ1o3HTIoDoHgiAIBd32VgLgZjE5/kuOIbjGpWsMHjM1RA0dMVODKegjlTj0SCka/SCaP5MmTQJjrN7Hp59+Cikl7rjjDrRr1w7//Oc/8e9//xuDBw/GoEGDsH37dvd4LEnpk5Qy6XoAmDJlCnJzc91HWVnZYesrQRAEQTQFNG5KL5TJRBAEoeDnJgzOEWNWoTznEtK0S+WAOv5LTmatAINBIhNxOJCycb+uUdp3i2DUqFG45ppr6m3TuXNnLFmyBO+88w7Ky8tdb6Xnn38eixcvxpw5c/DAAw+guLgYn3zyiWff8vJyxGKxOhlODuPHj8fdd9/tPq+srERZWRlE+0IIzTY5UT2OTOV15fFaUjxEGvja8/j6qB+fynpmJAz6TeW5ES9XZlBMU9TzK++dOjKb+oVC3Uc9RyxuICNrFU8lAEJ5LlWvKeW46pWQ2dnxWPIUkx0A/Jij4u2C8eG5UHyYzAxlvT+FP1MCnnuR4vtTffcr1T1S16s+TFL3XmWhPFeXvT5KSps6fkHKPso2j/dSCh+mRO+iVBaC6jlVXxuP71LCtfO089zk+CJXjqt65ACAHlZel8qx1GuhvmB1xS+ovn6l8mHytEncX0vu6ZTKK8qzf8KbygwkX/ZcF9W7SPFn4gmWPVosuTCu3nv1/LyeSTQ9Hlyq91CqWBI9uFTPNfX/sXJ+9XWkeoZ5rinqeoXFD6AcVjmFTLgMwp/8feS5L+r1Vvuu9BFI7H98J9U3S/WnSnztqH5qZlb8Akh/3P+P2Z+nphEGtqHpaMzYicZNhwwSmQiCIBTULCau/JdmzCqdc7KbNO7d7rQhiEOObGS5HA2WWgSFhYUoLCzcb7uaGutbJufeUT7nHMIWe3r37o3Jkydj+/btKCkpAQAsWrQIgUDA9W1KJBAIIBAIJN1GEARBEC2SxoydaNx0yKCf3QmCIGym1063/JjAIO2fjqS0/kU5ApPmls55/xFxSMwpu7bpgyYI4oigd+/eyMvLw7Bhw/D5559j/fr1uO+++7Bx40YMHDgQANCvXz8cf/zxuOGGG7Bq1Sr84x//wL333osRI0Yc0MxyBEEQBEEQjYUymQiCIAA8G34KUeGDIbkrNAGArgm3coMzCW57NnFYHk2cSfy2/fVpjJxo9QiRULfRQMhboFVRWFiIhQsXYsKECbjgggsQi8Vwwgkn4C9/+QtOOukkAICmaViwYAHuuOMOnHXWWQiFQrjuuuvw1FNPpTl6giAIgmhCGjN2onHTIYNEJoIgjniei0yDaZs6CGl5KwnJLBGJSzBmQkpml8rB/ftKh+vSHDlxREDlcoTNqaeeinfffbfeNh07dsQ777zTRBERBEEQRDOEyuXSColMBEEc0TwXmQYjwYVRKC6LGhcwBbc8mmw/JiqLI5oSKQRkIzKZDmSWlClTpmDevHn473//i1AohD59+mDatGk49thj3TbDhw/HnDlzPPudccYZ+Pjjj93n5513Hj744ANPm6uvvhpvvPHGAcdPpBfJmGvuzDwmz0ojFn/iTI4A1D+slylmuUtl/C39Ce0a8iXAY6CrOugm7FvftmQkxM7VOFWvLD2+LJVlU1PWN9CwwmNYHIs/4VHFjL2+fjXoJAnGxDz5PUppEK0sS8O7L1P24cqyFk1uCC7qGIfLFO2SxyVSmIAnPvfM06EsCy35epnwjUk0xAg7xUu93o0pTMQbbPnYiO/Iqvlzg45bT1yqSbR6XE0x9VaNt321yudGwiVRr6tqqi20FJ9HCaQycfcYd6foS2IsqVBjSWWUXudWy+TbPEbtapN6rrFqCJ+qj6qJOUswNOeG0k41Nzdl0jbM8AbjmQhCXVT7L2z7iVSf/YeJxoydaHa5QweJTARBHNEI+z+hITRXXNK5gCk5NC7AJSNRiUgvTZDJ9MEHH2DkyJE47bTTYBgGJkyYgH79+mHt2rXIzMx021188cWYPXu2+9zvT1QAgBEjRuCRRx5xn4dCoQOPnSAIgiAIorFQJlNaIZGJIIgjHlP5yYrbGUs+buL5omFpjIogbIQ8gJ+xFQ5gsLRw4ULP89mzZ6Ndu3ZYuXIlzj33XHd9IBBAcXFxvcfKyMjYbxuCIAiCIIjDRmPGTiQyHTJodjmCII5ouJJK62Q1OUITQRypVFRUAADy8/M965cuXYp27drhmGOOwYgRI7Bz5846+7722msoLCzECSecgHvvvRf79u1rkpgJgiAIgiCI9EOZTARBHNGMCowDAEyrfhacCXDG8WT+iDRHRRAKUsJjMnNA+wGVlZWe1YFAAIFAoJ7dJO6++26cffbZ6N69u7t+wIABuPLKK9GpUyds3LgRDz30EC644AKsXLnSPd7111+PLl26oLi4GF9++SXGjx+Pzz//HIsXLz7w+AmCIAiCIBpDY8ZOlMl0yCCRiSAIAsC4zLHpDoEgkiKFhGxEZp20B0tlZWWe9RMnTsSkSZNS7jdq1Ch88cUXWL58uWf91Vdf7S53794dp556Kjp16oQFCxZg6NChACw/JrXN0UcfjVNPPRWfffYZTjnllAPuA5E+pE+D1C0nWqm6uHqMchXTXnVwnjCur9d8O9l6M/XrvY7J9f6OWx+qEa263NBzKHEytdOKsTFvgi8tdQx1U5iop1pWjbOtTSn2SXXOVOdLbMeSt5P17c9TGCunit/TJiHmFIbmnrhSmZ7X51mcysO73n32b4LcUPPpg+WwJW4fAV/YD/raNWS+gfraNMDE3Hu+BOPulIbuyT/P604ykOLY6vtTd5o2tfH3gY+d5BHwmm0qSGQiCIIgiOaMFGhcJpO1z9atW5GTk+Ouri+LafTo0Xj77bexbNkydOjQod7Dl5SUoFOnTtiwYUPKNqeccgp8Ph82bNhAIhNBEARBEE1DY8ZONLvcIYNEJoIgCIJoxhxsJlNOTo5HZErVdvTo0Zg/fz6WLl2KLl267Pf4u3fvxtatW1FSUpKyzZo1axCLxeptQxAEQRAEcSihTKb0QiITQRAEQTRnDjKTqSGMHDkSr7/+Ov7yl78gOzsbO3bsAADk5uYiFAqhqqoKkyZNwuWXX46SkhJs2rQJDz74IAoLC3HZZZcBAL755hu89tpr+MlPfoLCwkKsXbsW99xzD3r27ImzzjrrwOMnCIIgCIJoDJTJlFZavcjkKJLV1dVpjoQgCIJoLTj/U5riVy8DsQb5NiTdr4G88MILAIDzzjvPs3727NkYPnw4NE3D6tWrMXfuXOzduxclJSU4//zz8eabbyI7OxsA4Pf78Y9//AMzZsxAVVUVysrKMHDgQEycOBGaph14B4i04LymDSOirlSW44spvZYSXq+snm1J969nnH9IPZlS0dBzNOD7SMp4DyF1PJnUUzbEkynRKyWVj1Kqc6rXIR2eTLKBnkypfJDIk+nwcARkhTRbT6aU52saTyaWZL3zP6WpsoUaM3Y6kHETUT9MtvK8sG+//baO6SlBEARBHAq2bt26X++ixhIOh9GlSxc3q6gxFBcXY+PGjQgGg4cwMqI1Q+MmgiAI4nBxOMdNwMGPnWjcdGho9SKTEALfffcdsrOz3dkyKisrUVZWVscMtTnTEmMGKO6mpiXG3RJjBijupqQ5xiylxL59+1BaWgrO+f53aCThcBjRaHT/DVPg9/tpoEQcEM64SUqJjh07Nqv33aGmOX62HEpae/+A1t/H1t4/oPX3sbX3D2hYH5tq3AQc3NiJxk2HhlZfLsc5T6mWNsQMtbnREmMGKO6mpiXG3RJjBijupqS5xZybm3vYzxEMBmmwQzQpzripsrISQPN73x0OWnsfW3v/gNbfx9beP6D197G19w/Yfx+bYtwE0NipOXB4ZUSCIAiCIAiCIAiCIAjiiIBEJoIgCIIgCIIgCIIgCOKgOSJFpkAggIkTJyIQCKQ7lAbTEmMGKO6mpiXG3RJjBijupqQlxkwQLZ0j4X3X2vvY2vsHtP4+tvb+Aa2/j629f8CR0UfiwGj1xt8EQRAEQRAEQRAEQRDE4eeIzGQiCIIgCIIgCIIgCIIgDi0kMhEEQRAEQRAEQRAEQRAHDYlMBEEQBEEQBEEQBEEQxEHTqkWmyZMno0+fPsjIyECbNm3qbbt792506NABjDHs3bvXs2316tXo27cvQqEQ2rdvj0ceeQSH08pqf3Hv3r0bF198MUpLSxEIBFBWVoZRo0ahsrKyWcf9+eef49prr0VZWRlCoRC6deuGGTNm1GnXlHE35DVy5513olevXggEAjj55JOTtmlu1xoAtmzZgksuuQSZmZkoLCzEmDFjEI1G0xp3Ip999hkuuugitGnTBgUFBfj5z3+OqqqqA+5HU7N+/XoMHjwYhYWFyMnJwVlnnYX333/f06Y5xb106VIwxpI+VqxY0SxjVlmwYAHOOOMMhEIhFBYWYujQoZ7tzTVugmipPP/88+jSpQuCwSB69eqFf/7zn+kOqdFMmjSpzudecXGxu11KiUmTJqG0tBShUAjnnXce1qxZk8aI62fZsmW45JJLUFpaCsYY/vznP3u2N6Q/kUgEo0ePRmFhITIzM3HppZfi22+/bcJe1M/++jh8+PA69/TMM8/0tGnOfZwyZQpOO+00ZGdno127dhgyZAjWrVvnadOS72ND+tfS7+ELL7yAE088ETk5OcjJyUHv3r3x97//3d3eku8fsP/+tfT7Rxx+WrXIFI1GceWVV+L222/fb9ubb74ZJ554Yp31lZWVuOiii1BaWooVK1Zg5syZeOqpp/D0008fjpAB7D9uzjkGDx6Mt99+G+vXr8err76K9957D7fddluzjnvlypVo27Ytfv/732PNmjWYMGECxo8fj+eeey5tcTfkNSKlxE033YSrr7466fbmeK1N08TAgQNRXV2N5cuX44033sCf/vQn3HPPPWmNW+W7777DhRdeiB/96Ef45JNPsHDhQqxZswbDhw8/oH6kg4EDB8IwDCxZsgQrV67EySefjEGDBmHHjh3NMu4+ffpg+/btnsctt9yCzp0749RTT22WMTv86U9/wg033ICf/exn+Pzzz/Gvf/0L1113nbu9ucZNEC2VN998E2PHjsWECROwatUqnHPOORgwYAC2bNmS7tAazQknnOD5/Fu9erW77YknnsDTTz+N5557DitWrEBxcTEuuugi7Nu3L40Rp6a6uhonnXSSZ+yk0pD+jB07FvPnz8cbb7yB5cuXo6qqCoMGDYJpmk3VjXrZXx8B4OKLL/bc07/97W+e7c25jx988AFGjhyJjz/+GIsXL4ZhGOjXrx+qq6vdNi35Pjakf0DLvocdOnTA1KlT8emnn+LTTz/FBRdcgMGDB7tCUku+f8D++we07PtHNAHyCGD27NkyNzc35fbnn39e9u3bV/7jH/+QAGR5eblnW25urgyHw+66KVOmyNLSUimEOIxR7z9ulRkzZsgOHTq4z1tK3HfccYc8//zz3efpirshMU+cOFGedNJJddY3x2v9t7/9TXLO5bZt29x1f/jDH2QgEJAVFRVpj1tKKWfNmiXbtWsnTdN0161atUoCkBs2bGhwP5qaH374QQKQy5Ytc9dVVlZKAPK9996TUjbPuFWi0ahs166dfOSRR9x1zTHmWCwm27dvL3/729+mbNMc4yaIlszpp58ub7vtNs+64447Tj7wwANpiujgSPW/W0ophRCyuLhYTp061V0XDodlbm6u/M1vftNEETYeAHL+/Pnu84b0Z+/evdLn88k33njDbbNt2zbJOZcLFy5sstgbSmIfpZRy2LBhcvDgwSn3aWl93LlzpwQgP/jgAyll67uPif2TsvXdQymlzMvLk7/97W9b3f1zcPonZeu8f8ShpVVnMjWEtWvX4pFHHsHcuXPBed3L8dFHH6Fv374IBALuuv79++O7777Dpk2bmjDS1Hz33XeYN28e+vbt665rCXEDQEVFBfLz893nLSVuleYY80cffYTu3bujtLTUE1MkEsHKlSvdNumMOxKJwO/3e953oVAIALB8+fIG96OpKSgoQLdu3TB37lxUV1fDMAzMmjULRUVF6NWrV7ONW+Xtt9/Grl27PFljzTHmzz77DNu2bQPnHD179kRJSQkGDBjg+SWtOcZNEC2VaDSKlStXol+/fp71/fr1w4cffpimqA6eDRs2oLS0FF26dME111yD//3vfwCAjRs3YseOHZ7+BgIB9O3bt0X2tyH9WblyJWKxmKdNaWkpunfv3qL6vHTpUrRr1w7HHHMMRowYgZ07d7rbWlofKyoqAMAdD7e2+5jYP4fWcg9N08Qbb7yB6upq9O7du9Xdv8T+ObSW+0ccHo5okSkSieDaa6/Fk08+iY4dOyZts2PHDhQVFXnWOc+d0ph0ce211yIjIwPt27dHTk4Ofvvb37rbmnPcDh999BHeeust3Hrrre66lhB3Is0x5mQx5eXlwe/3uzGlO+4LLrgAO3bswJNPPoloNIry8nI8+OCDAIDt27enjDGxH00NYwyLFy/GqlWrkJ2djWAwiGeeeQYLFy50/bGaY9wqL7/8Mvr374+ysjJ3XXOM2fkiOGnSJPziF7/AO++8g7y8PPTt2xd79uwB0DzjJoiWyq5du2CaZtL/DS31/XTGGWdg7ty5ePfdd/HSSy9hx44d6NOnD3bv3u32qbX0tyH92bFjB/x+P/Ly8lK2ae4MGDAAr732GpYsWYLp06djxYoVuOCCCxCJRAC0rD5KKXH33Xfj7LPPRvfu3QG0rvuYrH9A67iHq1evRlZWFgKBAG677TbMnz8fxx9/fKu5f6n6B7SO+0ccXlqcyJTMwDHx8emnnzboWOPHj0e3bt3w05/+tN52jDHPc2kbIyeub6q4HZ555hl89tln+POf/4xvvvkGd999d4uIGwDWrFmDwYMH45e//CUuuuiiQxr34Yq5PprjtU52bimlZ/2hiDuRhvbjhBNOwJw5czB9+nRkZGSguLgYXbt2RVFRETRNO6B+HAoaGreUEnfccQfatWuHf/7zn/j3v/+NwYMHY9CgQa441lRxN+Y18+233+Ldd9/FzTffXOd4ze1aCyEAABMmTMDll1+OXr16Yfbs2WCM4f/+7/+aPG6COFJI9r+hpb6fBgwYgMsvvxw9evTAhRdeiAULFgAA5syZ47ZpTf0FGtefltTnq6++GgMHDkT37t1xySWX4O9//zvWr1/v3ttUNMc+jho1Cl988QX+8Ic/1NnWGu5jqv61hnt47LHH4j//+Q8+/vhj3H777Rg2bBjWrl3rbm/p96++/rWG+0ccXvR0B3CgjBo1Ctdcc029bTp37tygYy1ZsgSrV6/GH//4RwDxL9iFhYWYMGECHn74YRQXF9dRXJ10wESFuqnidiguLkZxcTGOO+44FBQU4JxzzsFDDz2EkpKSZh332rVrccEFF2DEiBH4xS9+4dl2KOI+HDHXR3O81sXFxfjkk08868rLyxGLxdyYDlXciRxIP6677jpcd911+P7775GZmQnGGJ5++ml06dKlwf04VDQ07iVLluCdd95BeXk5cnJyAFgzMS1evBhz5szBAw880GRxN+Y1M3v2bBQUFODSSy/1rG+O19oxyHR+OQOslPOuXbu6JsRNGTdBtHYKCwuhaVrS/w2t5f2UmZmJHj16YMOGDRgyZAgA61f3kpISt01L7a8za159/SkuLnazh9Usg507d6JPnz5NG/AhoqSkBJ06dcKGDRsAtJw+jh49Gm+//TaWLVuGDh06uOtby31M1b9ktMR76Pf78aMf/QgAcOqpp2LFihWYMWMGxo0bB6Dl379U/Zs1a1adti3x/hGHmSZzf0ojqcyRv/76a7l69Wr38corr0gA8sMPP5Tff/+9lNIyR27Tpo2MRCLuflOnTm12BtrLli2TAOTGjRullM037i+//FK2a9dO3nfffUm3pyvugzX+bm7X2jFD/u6779x1b7zxRh3j73TFnYqXX35ZZmRkuOb7DelHU/P2229Lzrnct2+fZ/0xxxwjJ0+eLKVsnnFLaZmJdunSRd5zzz11tjXHmCsqKmQgEPAYfzum5bNmzZJSNs+4CaIlc/rpp8vbb7/ds65bt24t1vg7kXA4LNu3by8ffvhh16B32rRp7vZIJNLijb/r649jyPvmm2+6bb777rtma8ib2Mdk7Nq1SwYCATlnzhwpZfPvoxBCjhw5UpaWlsr169cn3d6S7+P++peMlnYPk3HBBRfIYcOGtfj7lwqnf8loDfePOLS0apFp8+bNctWqVfLhhx+WWVlZctWqVXLVqlV1vhw6vP/++3Vml9u7d68sKiqS1157rVy9erWcN2+ezMnJkU899VTa4l6wYIF85ZVX5OrVq+XGjRvlggUL5AknnCDPOuusZh33l19+Kdu2bSuvv/56uX37dvexc+fOtMXdkNfIhg0b5KpVq+Stt94qjznmGLeNI840x2ttGIbs3r27/PGPfyw/++wz+d5778kOHTrIUaNGucdIR9yJzJw5U65cuVKuW7dOPvfcczIUCskZM2a42xvSj6bmhx9+kAUFBXLo0KHyP//5j1y3bp289957pc/nk//5z3+abdxSSvnee+9JAHLt2rV1tjXXmO+8807Zvn17+e6778r//ve/8uabb5bt2rWTe/bsadZxE0RL5Y033pA+n0++/PLLcu3atXLs2LEyMzNTbtq0Kd2hNYp77rlHLl26VP7vf/+TH3/8sRw0aJDMzs52+zN16lSZm5sr582bJ1evXi2vvfZaWVJSIisrK9MceXL27dvn/s8HIJ9++mm5atUquXnzZillw/pz2223yQ4dOsj33ntPfvbZZ/KCCy6QJ510kjQMI13d8lBfH/ft2yfvuece+eGHH8qNGzfK999/X/bu3Vu2b9++xfTx9ttvl7m5uXLp0qWe8XBNTY3bpiXfx/31rzXcw/Hjx8tly5bJjRs3yi+++EI++OCDknMuFy1aJKVs2fdPyvr71xruH3H4adUi07BhwySAOo/3338/aftkIpOUUn7xxRfynHPOkYFAQBYXF8tJkyYd1kyP/cW9ZMkS2bt3b5mbmyuDwaA8+uij5bhx45p93BMnTky6vVOnTmmLuyGvkb59+yZt42SNNXXMDY178+bNcuDAgTIUCsn8/Hw5atQoGQ6HPcdp6rgTueGGG2R+fr70+/3yxBNPlHPnzq3TpiH9aGpWrFgh+/XrJ/Pz82V2drY888wz5d/+9jdPm+YY97XXXiv79OmTcntzjDkajcp77rlHtmvXTmZnZ8sLL7xQfvnll542zTFugmjJ/PrXv5adOnWSfr9fnnLKKZ6px1saV199tSwpKZE+n0+WlpbKoUOHyjVr1rjbhRBy4sSJsri4WAYCAXnuuefK1atXpzHi+nHGqokPJ8OgIf2pra2Vo0aNkvn5+TIUCslBgwbJLVu2pKE3yamvjzU1NbJfv36ybdu20ufzyY4dO8phw4bVib859zFZ3wDI2bNnu21a8n3cX/9awz286aab3M/Itm3byh//+MeuwCRly75/Utbfv9Zw/4jDD5PSNiIiCIIgCIIgCIIgCIIgiEbS4maXIwiCIAiCIAiCIAiCIJofJDIRBEEQBEEQBEEQBEEQBw2JTARBEARBEARBEARBEMRBQyITQRAEQRAEQRAEQRAEcdCQyEQQBEEQBEEQBEEQBEEcNCQyEQRBEARBEARBEARBEAcNiUwEQRAEQRAEQRAEQRDEQUMiE0EQBEEQBEEQBEEQBHHQkMhEtFjOO+88jB07tlWdd/jw4RgyZMhBHaNz585gjIExhr1796Zs9+qrr6JNmzYHdS4iNcOHD3fvw5///Od0h0MQBEEc4dC4KTk0bmoe0LiJIFoPJDIRxAEyb948PProo+7zzp0749lnn01fQEl45JFHsH37duTm5qY7lFbP0qVLkw5MZ8yYge3bt6cnKIIgCIJoJtC4iVChcRNBtH70dAdAEC2N/Pz8dIewX7Kzs1FcXJzuMAAAsVgMPp8v3WE0Obm5uTRYJQiCII54aNx0YNC4iSCIlg5lMhGthvLyctx4443Iy8tDRkYGBgwYgA0bNrjbnTTnd999F926dUNWVhYuvvhiz68mhmFgzJgxaNOmDQoKCjBu3DgMGzbMk4qtpn2fd9552Lx5M+666y43xRcAJk2ahJNPPtkT37PPPovOnTu7z03TxN133+2e6/7774eU0rOPlBJPPPEEunbtilAohJNOOgl//OMfG3V9Xn31VXTs2BEZGRm47LLLsHv37jpt/vrXv6JXr14IBoPo2rUrHn74YRiG4W7/73//i7PPPhvBYBDHH3883nvvPU9a86ZNm8AYw1tvvYXzzjsPwWAQv//97wEAs2fPRrdu3RAMBnHcccfh+eef95x727ZtuPrqq5GXl4eCggIMHjwYmzZtcrcvXboUp59+OjIzM9GmTRucddZZ2Lx5c4P6vr9+Pf300+jRowcyMzNRVlaGO+64A1VVVe72zZs345JLLkFeXh4yMzNxwgkn4G9/+xs2bdqE888/HwCQl5cHxhiGDx/eoJgIgiAIIp3QuKl+aNxE4yaCIBoHiUxEq2H48OH49NNP8fbbb+Ojjz6ClBI/+clPEIvF3DY1NTV46qmn8Lvf/Q7Lli3Dli1bcO+997rbp02bhtdeew2zZ8/Gv/71L1RWVtZbFz5v3jx06NDBTbM+kDTf6dOn45VXXsHLL7+M5cuXY8+ePZg/f76nzS9+8QvMnj0bL7zwAtasWYO77roLP/3pT/HBBx80/MIA+OSTT3DTTTfhjjvuwH/+8x+cf/75eOyxxzxt3n33Xfz0pz/FmDFjsHbtWsyaNQuvvvoqJk+eDAAQQmDIkCHIyMjAJ598ghdffBETJkxIer5x48ZhzJgx+Oqrr9C/f3+89NJLmDBhAiZPnoyvvvoKjz/+OB566CHMmTMHgHVfzj//fGRlZWHZsmVYvny5O5iNRqMwDANDhgxB37598cUXX+Cjjz7Cz3/+c3dwWh/76xcAcM7xq1/9Cl9++SXmzJmDJUuW4P7773e3jxw5EpFIBMuWLcPq1asxbdo0ZGVloaysDH/6058AAOvWrcP27dsxY8aMA7o3BEEQBJEOaNyUGho30biJIIiDQBJEC6Vv377yzjvvlFJKuX79eglA/utf/3K379q1S4ZCIfnWW29JKaWcPXu2BCC//vprt82vf/1rWVRU5D4vKiqSTz75pPvcMAzZsWNHOXjw4KTnlVLKTp06yWeeecYT28SJE+VJJ53kWffMM8/ITp06uc9LSkrk1KlT3eexWEx26NDBPVdVVZUMBoPyww8/9Bzn5ptvltdee23K65IsnmuvvVZefPHFnnVXX321zM3NdZ+fc8458vHHH/e0+d3vfidLSkqklFL+/e9/l7quy+3bt7vbFy9eLAHI+fPnSyml3LhxowQgn332Wc9xysrK5Ouvv+5Z9+ijj8revXtLKaV8+eWX5bHHHiuFEO72SCQiQ6GQfPfdd+Xu3bslALl06dKU/U7F/vqVjLfeeksWFBS4z3v06CEnTZqUtO37778vAcjy8vKk29XrQxAEQRDpgsZNyaFxkxcaNxEEcbCQJxPRKvjqq6+g6zrOOOMMd11BQQGOPfZYfPXVV+66jIwMHHXUUe7zkpIS7Ny5EwBQUVGB77//Hqeffrq7XdM09OrVC0KIQxpvRUUFtm/fjt69e7vrdF3Hqaee6qZ+r127FuFwGBdddJFn32g0ip49ex7Q+b766itcdtllnnW9e/fGwoUL3ecrV67EihUrPL9UmaaJcDiMmpoarFu3DmVlZR7PAvVaqZx66qnu8g8//ICtW7fi5ptvxogRI9z1hmG4tfcrV67E119/jezsbM9xwuEwvvnmG/Tr1w/Dhw9H//79cdFFF+HCCy/EVVddhZKSkv32fX/9ysjIwPvvv4/HH38ca9euRWVlJQzDQDgcRnV1NTIzMzFmzBjcfvvtWLRoES688EJcfvnlOPHEE/d7boIgCIJojtC4qX5o3ETjJoIgGg+JTESrQCbU5Kvr1dTgRCNFxlidfRNTiVMduz4453X2U9PPG4IzQFuwYAHat2/v2RYIBA7oWA3pgxACDz/8MIYOHVpnWzAYrHMt6yMzM9NzXAB46aWXPINZwBqMOm169eqF1157rc6x2rZtC8DyJhgzZgwWLlyIN998E7/4xS+wePFinHnmmQfVr82bN+MnP/kJbrvtNjz66KPIz8/H8uXLcfPNN7v37JZbbkH//v2xYMECLFq0CFOmTMH06dMxevToBl0PgiAIgmhO0LipfmjcROMmgiAaD4lMRKvg+OOPh2EY+OSTT9CnTx8AwO7du7F+/Xp069atQcfIzc1FUVER/v3vf+Occ84BYP1ys2rVqjpmlCp+vx+maXrWtW3bFjt27PAMMP7zn/94zlVSUoKPP/4Y5557LgDrF6qVK1filFNOcfsUCASwZcsW9O3bt0F9SMXxxx+Pjz/+2LMu8fkpp5yCdevW4Uc/+lHSYxx33HHYsmULvv/+exQVFQEAVqxYsd9zFxUVoX379vjf//6H66+/PmmbU045BW+++SbatWuHnJyclMfq2bMnevbsifHjx6N37954/fXX9ztY2l+/Pv30UxiGgenTp4Nzy6burbfeqtOurKwMt912G2677TaMHz8eL730EkaPHg2/3w8AdV4DBEEQBNFcoXFT/dC4icZNBEE0HhKZiFbB0UcfjcGDB2PEiBGYNWsWsrOz8cADD6B9+/YYPHhwg48zevRoTJkyBT/60Y9w3HHHYebMmSgvL6/3l6jOnTtj2bJluOaaaxAIBFBYWIjzzjsPP/zwA5544glcccUVWLhwIf7+9797BgJ33nknpk6diqOPPhrdunXD008/jb1797rbs7Ozce+99+Kuu+6CEAJnn302Kisr8eGHHyIrKwvDhg1rcL/GjBmDPn364IknnsCQIUOwaNEiT8o3APzyl7/EoEGDUFZWhiuvvBKcc3zxxRdYvXo1HnvsMVx00UU46qijMGzYMDzxxBPYt2+fa2C5v1/qJk2ahDFjxiAnJwcDBgxAJBLBp59+ivLyctx99924/vrr8eSTT2Lw4MF45JFH0KFDB2zZsgXz5s3Dfffdh1gshhdffBGXXnopSktLsW7dOqxfvx433njjfvu+v34dddRRMAwDM2fOxCWXXIJ//etf+M1vfuM5xtixYzFgwAAcc8wxKC8vx5IlS9xBeKdOncAYwzvvvIOf/OQnCIVCyMrKavC9IQiCIIimhsZN9UPjJho3EQRxEDS1CRRBHCoSjST37Nkjb7jhBpmbmytDoZDs37+/XL9+vbt99uzZHsNGKaWcP3++VN8GsVhMjho1Subk5Mi8vDw5btw4eeWVV8prrrkm5Xk/+ugjeeKJJ8pAIOA51gsvvCDLyspkZmamvPHGG+XkyZM9BpaxWEzeeeedMicnR7Zp00befffd8sYbb/SYZQoh5IwZM+Sxxx4rfT6fbNu2rezfv7/84IMPUl6XZAaWUlomkR06dJChUEhecskl8qmnnqpzPRYuXCj79OkjQ6GQzMnJkaeffrp88cUX3e1fffWVPOuss6Tf75fHHXec/Otf/yoByIULF0op4waWq1atqnP+1157TZ588snS7/fLvLw8ee6558p58+a527dv3y5vvPFGWVhYKAOBgOzatascMWKErKiokDt27JBDhgyRJSUl0u/3y06dOslf/vKX0jTNlNfhQPr19NNPy5KSEvd1M3fuXI8p5ahRo+RRRx0lA4GAbNu2rbzhhhvkrl273P0feeQRWVxcLBljctiwYZ5zgwwsCYIgiGYAjZuSQ+OmutC4iSCIg4FJ2YjCaYI4QhBCoFu3brjqqqvw6KOPpjucBtG5c2eMHTsWY8eOPezn+te//oWzzz4bX3/9tccYlIjDGMP8+fMxZMiQdIdCEARBEIcVGjfVD42b9g+Nmwii5cPTHQBBNCc2b96Ml156CevXr8fq1atx++23Y+PGjbjuuuvSHdoBMW7cOGRlZaGiouKQHnf+/PlYvHgxNm3ahPfeew8///nPcdZZZ9FAKQm33XYbpX8TBEEQrRoaN9UPjZsaDo2bCKL1QJlMBKGwdetWXHPNNfjyyy8hpUT37t0xdepU12SyJbB582Z3do+uXbu6poyHgrlz5+LRRx/F1q1bUVhYiAsvvBDTp09HQUHBITvHgXLCCSdg8+bNSbfNmjUrpWnm4Wbnzp2orKwEYE35rM4cQxAEQRCtARo31Q+NmxoOjZsIovVAIhNBEC0adXCYSFFREbKzs5s4IoIgCIIgiOYJjZsIgjjckMhEEARBEARBEARBEARBHDTkyUQQBEEQBEEQBEEQBEEcNCQyEQRBEARBEARBEARBEAcNiUwEQRAEQRAEQRAEQRDEQUMiE0EQBEEQBEEQBEEQBHHQkMhEEARBEARBEARBEARBHDQkMhEEQRAEQRAEQRAEQRAHDYlMBEEQBEEQBEEQBEEQxEFDIhNBEARBEARBEARBEARx0Pw/zj4p4kutkGYAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1200x400 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axs = plt.subplots(ncols=2, figsize=(12, 4))\n",
    "\n",
    "ds_in.tasmin.plot(ax=axs[0], cmap=cmap)\n",
    "axs[0].set_title(\"NRCAN Input grid\")\n",
    "\n",
    "ds_tgt.tasmin.plot(ax=axs[1], cmap=cmap)\n",
    "axs[1].set_title(\"Target CanESM2 grid\")\n",
    "fig.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "24",
   "metadata": {},
   "source": [
    "### Default regridding - No mask handling\n",
    "\n",
    "We first naïvely try the regridding exactly as before. Here we use the \"conservative_normed\" method, the reason is explained at the end of the example."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "25",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "xESMF Regridder \n",
      "Regridding algorithm:       conservative_normed \n",
      "Weight filename:            conservative_normed_510x1068_64x128.nc \n",
      "Reuse pre-computed weights? False \n",
      "Input grid shape:           (510, 1068) \n",
      "Output grid shape:          (64, 128) \n",
      "Periodic in longitude?      False\n"
     ]
    }
   ],
   "source": [
    "reg_nomask = xe.Regridder(ds_in, ds_tgt, \"conservative_normed\")\n",
    "print(reg_nomask)\n",
    "tasmin_nomask = reg_nomask(ds_in.tasmin)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "26",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1200x400 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axs = plt.subplots(ncols=2, figsize=(12, 4))\n",
    "\n",
    "tasmin_nomask.plot(ax=axs[0], cmap=cmap)\n",
    "axs[0].set_title(\"Regridded NRCAN - No mask handling\")\n",
    "\n",
    "tasmin_nomask.plot(ax=axs[1], cmap=cmap, vmin=255)\n",
    "axs[1].set_xlim(210, 320)\n",
    "axs[1].set_ylim(38, 86)\n",
    "axs[1].set_title(\"Zoom on Canada + Color rescaling\")\n",
    "fig.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "27",
   "metadata": {},
   "source": [
    "This ugly result is the default behaviour of xESMF when no mask information is passed :\n",
    "\n",
    "1. A single missing value in the input suffices so that the target (coarser) grid cell is marked as missing. This erased all the Canadian Arctic Archipelago and most points near the sea in general.\n",
    "2. Grid points outside the input grid are filled with 0s instead of NaNs. \n",
    "\n",
    "To resolve this, we pass as binary mask to xESMF. xESMF will then exclude the masked values from the computation, and this way the small islands in the Canadian Arctic Archipelago won't be hidden by missing values. It will also activate a mode where values outside the input grid are marked as missing (NaN), which is usually more useful.\n",
    "\n",
    "Note that ESMF masks defined as `True` where data is valid, and `False` where it is missing. The variable must be named `mask` to get picked up by xESMF."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "28",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1200x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Define the masks and assign them as variables for both the input and output datasets.\n",
    "in_mask = ds_in.tasmin.notnull()\n",
    "ds_in_mask = ds_in.assign(mask=in_mask)\n",
    "\n",
    "tgt_mask = ds_tgt.tasmin.isel(time=0).notnull()\n",
    "ds_tgt_mask = ds_tgt.assign(mask=tgt_mask)\n",
    "\n",
    "fig, axs = plt.subplots(ncols=2, figsize=(12, 4))\n",
    "in_mask.plot(ax=axs[0], cmap=plt.cm.binary_r, add_colorbar=False)\n",
    "tgt_mask.plot(ax=axs[1], cmap=plt.cm.binary_r, add_colorbar=False)\n",
    "axs[0].set_title(\"Input grid mask\")\n",
    "axs[1].set_title(\"Target grid mask\")\n",
    "fig.tight_layout()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "29",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "xESMF Regridder \n",
       "Regridding algorithm:       conservative_normed \n",
       "Weight filename:            conservative_normed_510x1068_64x128.nc \n",
       "Reuse pre-computed weights? False \n",
       "Input grid shape:           (510, 1068) \n",
       "Output grid shape:          (64, 128) \n",
       "Periodic in longitude?      False"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "reg_mask = xe.Regridder(ds_in_mask, ds_tgt_mask, \"conservative_normed\")\n",
    "reg_mask  # Show information about the regriddingaa"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "30",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1200x400 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "tasmin_mask = reg_mask(ds_in_mask.tasmin)\n",
    "fig, axs = plt.subplots(ncols=2, figsize=(12, 4))\n",
    "\n",
    "tasmin_mask.plot(ax=axs[0], cmap=cmap)\n",
    "axs[0].set_title(\"Regridded NRCAN - With mask handling\")\n",
    "\n",
    "tasmin_mask.plot(ax=axs[1], cmap=cmap)\n",
    "axs[1].set_xlim(210, 320)\n",
    "axs[1].set_ylim(38, 86)\n",
    "axs[1].set_title(\"Zoom on Canada\")\n",
    "fig.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "31",
   "metadata": {},
   "source": [
    "Much better! As expected, grid cells near the sea are kept and points outside the input grid are marked as missing.\n",
    "\n",
    "### Normalization for conservative regridding\n",
    "\n",
    "The \"conservative_normed\" method includes information about the missing values in the final normalization of the data. On the other hand, the \"conservative\" method normalizes using the total area of the target cell, no matter how many input grid points were valid. The following figure shows how that can lead to large biases in the data near the boundaries. Indeed, in the example below, the temperatures reach values close to 0 Kelvins near the boundaries. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "32",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 600x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "reg_mask_cons = xe.Regridder(ds_in_mask, ds_tgt_mask, \"conservative\")\n",
    "tasmin_mask_cons = reg_mask_cons(ds_in_mask.tasmin)\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(6, 4))\n",
    "tasmin_mask_cons.plot(cmap=cmap, ax=ax)\n",
    "ax.set_xlim(210, 320)\n",
    "ax.set_ylim(38, 86)\n",
    "ax.set_title(\"Conservative regridding without normalization - zoom on Canada\")\n",
    "ax.annotate(\n",
    "    \"Some values are close to 0 Kelvins.\\nCanada can get cold, but not that cold!\",\n",
    "    (280, 40),\n",
    "    xytext=(1.3, 0.3),\n",
    "    xycoords=\"data\",\n",
    "    textcoords=\"axes fraction\",\n",
    "    fontsize=\"x-large\",\n",
    "    arrowprops=dict(arrowstyle=\"->\", connectionstyle=\"arc3, rad=-0.3\"),\n",
    ");"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "33",
   "metadata": {},
   "source": [
    "## Fourth example : Averaging over polygons\n",
    "\n",
    "Because the conservative regridding method preserves areal averages, we can use xESMF to compute *exact* averages over polygons. We call it \"exact\" because is takes into account partial overlaps between the gridcells and the shapes, including potential holes. While it is fast and powerful, this polygon averaging functionality is new in xESMF and still lacks some features, like missing values handling and performance issues with high-resolution polygons.\n",
    "\n",
    "The following example grabs some polygon shapes from PAVICS' Geoserver and averages the NRCAN data over them.\n",
    "\n",
    "### Define polygon shapes\n",
    "\n",
    "This example fetches all MRC of Québec and then only selects 10 large ones."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "34",
   "metadata": {},
   "outputs": [],
   "source": [
    "wfs_url = \"https://pavics.ouranos.ca/geoserver/wfs\"  # TEST_USE_PROD_DATA\n",
    "# # Connect to GeoServer WFS service.\n",
    "wfs = WebFeatureService(wfs_url, version=\"2.0.0\")\n",
    "# Get the json as a binary stream\n",
    "# Here we select Quebec's MRCs polygons\n",
    "# We select only a few properties\n",
    "data = wfs.getfeature(\n",
    "    typename=\"public:quebec_mrc_boundaries\",\n",
    "    # bbox=(-93.1, 41.1, -75.0, 49.6),\n",
    "    outputFormat=\"json\",\n",
    "    propertyname=[\"the_geom\", \"MRS_NM_MRC\"],\n",
    ")\n",
    "\n",
    "# Load into a GeoDataFrame by reading the json on-the-fly\n",
    "shapes_all = gpd.GeoDataFrame.from_features(json.load(data))\n",
    "# Just for simplicity, let's take 10 large MRCs\n",
    "shapes_all[\"AREA\"] = shapes_all.area\n",
    "shapes = shapes_all.sort_values(\"AREA\").iloc[-20:-10].set_index(\"MRS_NM_MRC\")"
   ]
  },
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    "### Validate and simplify shapes\n",
    "\n",
    "High resolution polygons might slow down the creation of the xESMf averager object. Here we ensure polygons are simplified to a resolution 50x times finer than the input data. This should have a minimal impact on the output while still improving performance.\n",
    "\n",
    "As it is the case here, downloaded polygons sometime have topological problems which can be tested with `shapes.is_valid`. Simplifying polygons sometimes help overcome these issues:  here, we simplify with a tolerance of 1/100th of the grid size. Another workaround for self-intersections is to call `shapes.buffer(0)`."
   ]
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  {
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    "# NBVAL_IGNORE_OUTPUT\n",
    "shapes.is_valid.all()"
   ]
  },
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   "execution_count": 24,
   "id": "37",
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     "text": [
      "Total number of nodes in the raw shapes :  166813\n",
      "Minimal grid size [°] of input ds: 0.083, we will simplify to a tolerance of 0.00083\n",
      "Total number of nodes in the simplified shapes :  7237\n"
     ]
    }
   ],
   "source": [
    "# This is only to show the decrease in size\n",
    "\n",
    "\n",
    "def count_points(elem):\n",
    "    def _count(poly):\n",
    "        return len(poly.exterior.coords) + sum(\n",
    "            len(hole.coords) for hole in poly.interiors\n",
    "        )\n",
    "\n",
    "    if isinstance(elem, shapely.geometry.MultiPolygon):\n",
    "        return sum(_count(poly) for poly in elem.geoms)\n",
    "    return _count(elem)\n",
    "\n",
    "\n",
    "# Count the total number of nodes in the shapes:\n",
    "print(\n",
    "    \"Total number of nodes in the raw shapes : \",\n",
    "    shapes.geometry.apply(count_points).sum(),\n",
    ")\n",
    "\n",
    "min_grid_size = float(\n",
    "    min(abs(ds_in.lat.diff(\"lat\")).min(), abs(ds_in.lon.diff(\"lon\")).min())\n",
    ")\n",
    "print(\n",
    "    f\"Minimal grid size [°] of input ds: {min_grid_size:0.3f}, we will simplify to a tolerance of {min_grid_size / 100:0.5f}\"\n",
    ")\n",
    "\n",
    "# Simplify geometries\n",
    "shapes_simp = shapes.copy()\n",
    "shapes_simp[\"geometry\"] = shapes.simplify(min_grid_size / 100).buffer(0)\n",
    "\n",
    "print(\n",
    "    \"Total number of nodes in the simplified shapes : \",\n",
    "    shapes_simp.geometry.apply(count_points).sum(),\n",
    ")\n",
    "assert shapes_simp.buffer(0).is_valid.all()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "38",
   "metadata": {},
   "source": [
    "### Averaging over each polygon\n",
    "\n",
    "Performing the spatial average is as simple as regridding. We first construct a `SpatialAverager` object from the input grid and polygons, then call it with the data to average. Note that xESMf expects a list of shapes, so we pass the `shapes.geometry` series (and not the `GeoDataFrame` itself).\n",
    "\n",
    "The returned DataArray was averaged along its spatial (lat/lon) dimensions and the average over the different shapes are along the new `geom` dimension, which is in the same order as the initial GeoDataframe.\n",
    "\n",
    "The current missing value handling in xESMF's SpatialAverager is very strict and we can see here how the 3 MRCs that overlap with ocean cells of the data (where tasmin is NaN) are flagged as missing (NaN)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "39",
   "metadata": {},
   "outputs": [
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray (geom: 10)&gt;\n",
       "array([      nan,       nan, 274.64337, 275.4841 ,       nan, 276.23578,\n",
       "       274.05746, 276.86087, 275.4918 , 276.8586 ], dtype=float32)\n",
       "Coordinates:\n",
       "    lon      (geom) float64 -66.01 -63.91 -77.09 -76.16 ... -73.26 -76.76 -73.98\n",
       "    lat      (geom) float64 49.21 48.29 46.43 46.91 ... 47.13 48.81 48.15 48.04\n",
       "Dimensions without coordinates: geom\n",
       "Attributes:\n",
       "    regrid_method:  conservative</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span>geom</span>: 10</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-ac6cac7b-6b74-4c7d-b440-cea73e48af78' class='xr-array-in' type='checkbox' checked><label for='section-ac6cac7b-6b74-4c7d-b440-cea73e48af78' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>nan nan 274.6 275.5 nan 276.2 274.1 276.9 275.5 276.9</span></div><div class='xr-array-data'><pre>array([      nan,       nan, 274.64337, 275.4841 ,       nan, 276.23578,\n",
       "       274.05746, 276.86087, 275.4918 , 276.8586 ], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-57ff5411-7d36-40a3-8bf0-d5277d501f4f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-57ff5411-7d36-40a3-8bf0-d5277d501f4f' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>(geom)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-66.01 -63.91 ... -76.76 -73.98</div><input id='attrs-bac31006-1030-49cb-9b2b-aca867ec065f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-bac31006-1030-49cb-9b2b-aca867ec065f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-65e76d9f-846b-414a-8327-e2e896f39b04' class='xr-var-data-in' type='checkbox'><label for='data-65e76d9f-846b-414a-8327-e2e896f39b04' 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([-66.00866787, -63.90580973, -77.09387447, -76.16114822,\n",
       "       -69.47893016, -75.18601963, -78.56047535, -73.25902649,\n",
       "       -76.75643137, -73.97936042])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>(geom)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>49.21 48.29 46.43 ... 48.15 48.04</div><input id='attrs-508f8539-4932-4218-9a17-da60e7b45f79' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-508f8539-4932-4218-9a17-da60e7b45f79' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0966d0dd-8f0e-49d4-b438-7a9bc721edca' class='xr-var-data-in' type='checkbox'><label for='data-0966d0dd-8f0e-49d4-b438-7a9bc721edca' 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([49.21407442, 48.28708548, 46.4260869 , 46.90616996, 48.99808939,\n",
       "       46.89698131, 47.12947088, 48.81139074, 48.15154836, 48.04411744])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4ca0d888-14c9-42d0-8392-5ed6de65fdf5' class='xr-section-summary-in' type='checkbox'  checked><label for='section-4ca0d888-14c9-42d0-8392-5ed6de65fdf5' class='xr-section-summary' >Attributes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>regrid_method :</span></dt><dd>conservative</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray (geom: 10)>\n",
       "array([      nan,       nan, 274.64337, 275.4841 ,       nan, 276.23578,\n",
       "       274.05746, 276.86087, 275.4918 , 276.8586 ], dtype=float32)\n",
       "Coordinates:\n",
       "    lon      (geom) float64 -66.01 -63.91 -77.09 -76.16 ... -73.26 -76.76 -73.98\n",
       "    lat      (geom) float64 49.21 48.29 46.43 46.91 ... 47.13 48.81 48.15 48.04\n",
       "Dimensions without coordinates: geom\n",
       "Attributes:\n",
       "    regrid_method:  conservative"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# NBVAL_IGNORE_OUTPUT\n",
    "savg = xe.SpatialAverager(ds_in, shapes_simp.geometry)\n",
    "tn_avg = savg(ds_in.tasmin)\n",
    "tn_avg"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "40",
   "metadata": {},
   "source": [
    "### Merging polygon features' properties into the result\n",
    "\n",
    "In the previous results, the polygons are indexed along the `geom` dimension, but we'd like to have the region names and properties. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "41",
   "metadata": {},
   "outputs": [
    {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray (geom: 10)&gt;\n",
       "array([      nan,       nan, 274.64337, 275.4841 ,       nan, 276.23578,\n",
       "       274.05746, 276.86087, 275.4918 , 276.8586 ], dtype=float32)\n",
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       "    lon      (geom) float64 -66.01 -63.91 -77.09 -76.16 ... -73.26 -76.76 -73.98\n",
       "    lat      (geom) float64 49.21 48.29 46.43 46.91 ... 47.13 48.81 48.15 48.04\n",
       "  * geom     (geom) object &#x27;La Haute-Gaspésie&#x27; &#x27;Le Rocher-Percé&#x27; ... &#x27;La Tuque&#x27;\n",
       "    AREA     (geom) float64 1.415 1.543 1.654 1.673 ... 2.283 2.364 3.307 3.573\n",
       "Attributes:\n",
       "    regrid_method:  conservative</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>geom</span>: 10</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-0fe4dc84-f871-4b9d-b1ed-4f21d8034fda' class='xr-array-in' type='checkbox' checked><label for='section-0fe4dc84-f871-4b9d-b1ed-4f21d8034fda' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>nan nan 274.6 275.5 nan 276.2 274.1 276.9 275.5 276.9</span></div><div class='xr-array-data'><pre>array([      nan,       nan, 274.64337, 275.4841 ,       nan, 276.23578,\n",
       "       274.05746, 276.86087, 275.4918 , 276.8586 ], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-30d3296c-2003-40a8-8a57-a2a27b364d54' class='xr-section-summary-in' type='checkbox'  checked><label for='section-30d3296c-2003-40a8-8a57-a2a27b364d54' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>(geom)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-66.01 -63.91 ... -76.76 -73.98</div><input id='attrs-6380d7a3-3c29-40dc-bf70-139661a5190a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6380d7a3-3c29-40dc-bf70-139661a5190a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2f21d2e6-5f1b-4be5-ab96-f20c2b845cc1' class='xr-var-data-in' type='checkbox'><label for='data-2f21d2e6-5f1b-4be5-ab96-f20c2b845cc1' 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([-66.00866787, -63.90580973, -77.09387447, -76.16114822,\n",
       "       -69.47893016, -75.18601963, -78.56047535, -73.25902649,\n",
       "       -76.75643137, -73.97936042])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>(geom)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>49.21 48.29 46.43 ... 48.15 48.04</div><input id='attrs-a3b76682-e5d0-4996-b313-03740fb29aee' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a3b76682-e5d0-4996-b313-03740fb29aee' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-56c1c2f7-a7d0-470d-8edf-97c328083565' class='xr-var-data-in' type='checkbox'><label for='data-56c1c2f7-a7d0-470d-8edf-97c328083565' 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([49.21407442, 48.28708548, 46.4260869 , 46.90616996, 48.99808939,\n",
       "       46.89698131, 47.12947088, 48.81139074, 48.15154836, 48.04411744])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>geom</span></div><div class='xr-var-dims'>(geom)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;La Haute-Gaspésie&#x27; ... &#x27;La Tuque&#x27;</div><input id='attrs-513316d2-5a3c-4197-8c5e-445a504f328b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-513316d2-5a3c-4197-8c5e-445a504f328b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0cb642ea-af4b-469c-8bba-d52dae78fc97' class='xr-var-data-in' type='checkbox'><label for='data-0cb642ea-af4b-469c-8bba-d52dae78fc97' 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;La Haute-Gaspésie&#x27;, &#x27;Le Rocher-Percé&#x27;, &#x27;Pontiac&#x27;,\n",
       "       &#x27;La Vallée-de-la-Gatineau&#x27;, &#x27;La Haute-Côte-Nord&#x27;, &#x27;Antoine-Labelle&#x27;,\n",
       "       &#x27;Témiscamingue&#x27;, &#x27;Le Domaine-du-Roy&#x27;, &quot;La Vallée-de-l&#x27;Or&quot;, &#x27;La Tuque&#x27;],\n",
       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>AREA</span></div><div class='xr-var-dims'>(geom)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.415 1.543 1.654 ... 3.307 3.573</div><input id='attrs-9bc9403e-2aed-4428-abf6-7196acbe3890' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9bc9403e-2aed-4428-abf6-7196acbe3890' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-403c44c3-cbba-49bc-a83d-bc1caad38e10' class='xr-var-data-in' type='checkbox'><label for='data-403c44c3-cbba-49bc-a83d-bc1caad38e10' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([1.41460387, 1.54254676, 1.65378905, 1.67264012, 1.80053007,\n",
       "       1.92389157, 2.28258236, 2.3637143 , 3.30665646, 3.57283842])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9f5dff3f-6e52-4444-acaf-8ec484059ea9' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9f5dff3f-6e52-4444-acaf-8ec484059ea9' class='xr-section-summary' >Attributes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>regrid_method :</span></dt><dd>conservative</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray (geom: 10)>\n",
       "array([      nan,       nan, 274.64337, 275.4841 ,       nan, 276.23578,\n",
       "       274.05746, 276.86087, 275.4918 , 276.8586 ], dtype=float32)\n",
       "Coordinates:\n",
       "    lon      (geom) float64 -66.01 -63.91 -77.09 -76.16 ... -73.26 -76.76 -73.98\n",
       "    lat      (geom) float64 49.21 48.29 46.43 46.91 ... 47.13 48.81 48.15 48.04\n",
       "  * geom     (geom) object 'La Haute-Gaspésie' 'Le Rocher-Percé' ... 'La Tuque'\n",
       "    AREA     (geom) float64 1.415 1.543 1.654 1.673 ... 2.283 2.364 3.307 3.573\n",
       "Attributes:\n",
       "    regrid_method:  conservative"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# NBVAL_IGNORE_OUTPUT\n",
    "\n",
    "# Set coordinates of \"geom\" to the shapes index\n",
    "tn_avg[\"geom\"] = shapes_simp.index.values\n",
    "\n",
    "# Get a Dataset of properties from the dataframe\n",
    "# Drop the geometries (we don't want them), convert to xarray and rename the index so it matches the one in tn_avg\n",
    "props = shapes_simp.drop(columns=[\"geometry\"]).to_xarray().rename(MRS_NM_MRC=\"geom\")\n",
    "\n",
    "# Assign all properties as \"auxiliary\" coordinates\n",
    "tn_avg = tn_avg.assign_coords(**props.data_vars)\n",
    "tn_avg"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "42",
   "metadata": {},
   "source": [
    "Or, on the contrary, we could want to merge the averaged data to the dataframe instead."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "43",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>geometry</th>\n",
       "      <th>AREA</th>\n",
       "      <th>tasmin</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MRS_NM_MRC</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>La Haute-Gaspésie</th>\n",
       "      <td>POLYGON ((-65.19300 49.18900, -65.18720 49.099...</td>\n",
       "      <td>1.414604</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Le Rocher-Percé</th>\n",
       "      <td>POLYGON ((-62.99910 48.62500, -62.99910 47.157...</td>\n",
       "      <td>1.542547</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pontiac</th>\n",
       "      <td>POLYGON ((-77.91790 47.26940, -77.64730 47.269...</td>\n",
       "      <td>1.653789</td>\n",
       "      <td>274.643372</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>La Vallée-de-la-Gatineau</th>\n",
       "      <td>POLYGON ((-76.27030 47.68990, -76.27000 47.692...</td>\n",
       "      <td>1.672640</td>\n",
       "      <td>275.484100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>La Haute-Côte-Nord</th>\n",
       "      <td>POLYGON ((-69.50820 49.99830, -69.51050 49.997...</td>\n",
       "      <td>1.800530</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Antoine-Labelle</th>\n",
       "      <td>POLYGON ((-75.04050 47.76270, -74.88940 47.762...</td>\n",
       "      <td>1.923892</td>\n",
       "      <td>276.235779</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Témiscamingue</th>\n",
       "      <td>MULTIPOLYGON (((-77.57920 47.44240, -77.58630 ...</td>\n",
       "      <td>2.282582</td>\n",
       "      <td>274.057465</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Le Domaine-du-Roy</th>\n",
       "      <td>POLYGON ((-73.68260 49.99730, -73.68440 49.997...</td>\n",
       "      <td>2.363714</td>\n",
       "      <td>276.860870</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>La Vallée-de-l'Or</th>\n",
       "      <td>MULTIPOLYGON (((-77.57920 47.44240, -77.57290 ...</td>\n",
       "      <td>3.306656</td>\n",
       "      <td>275.491791</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>La Tuque</th>\n",
       "      <td>POLYGON ((-74.67630 48.99960, -74.62850 48.967...</td>\n",
       "      <td>3.572838</td>\n",
       "      <td>276.858612</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                   geometry  \\\n",
       "MRS_NM_MRC                                                                    \n",
       "La Haute-Gaspésie         POLYGON ((-65.19300 49.18900, -65.18720 49.099...   \n",
       "Le Rocher-Percé           POLYGON ((-62.99910 48.62500, -62.99910 47.157...   \n",
       "Pontiac                   POLYGON ((-77.91790 47.26940, -77.64730 47.269...   \n",
       "La Vallée-de-la-Gatineau  POLYGON ((-76.27030 47.68990, -76.27000 47.692...   \n",
       "La Haute-Côte-Nord        POLYGON ((-69.50820 49.99830, -69.51050 49.997...   \n",
       "Antoine-Labelle           POLYGON ((-75.04050 47.76270, -74.88940 47.762...   \n",
       "Témiscamingue             MULTIPOLYGON (((-77.57920 47.44240, -77.58630 ...   \n",
       "Le Domaine-du-Roy         POLYGON ((-73.68260 49.99730, -73.68440 49.997...   \n",
       "La Vallée-de-l'Or         MULTIPOLYGON (((-77.57920 47.44240, -77.57290 ...   \n",
       "La Tuque                  POLYGON ((-74.67630 48.99960, -74.62850 48.967...   \n",
       "\n",
       "                              AREA      tasmin  \n",
       "MRS_NM_MRC                                      \n",
       "La Haute-Gaspésie         1.414604         NaN  \n",
       "Le Rocher-Percé           1.542547         NaN  \n",
       "Pontiac                   1.653789  274.643372  \n",
       "La Vallée-de-la-Gatineau  1.672640  275.484100  \n",
       "La Haute-Côte-Nord        1.800530         NaN  \n",
       "Antoine-Labelle           1.923892  276.235779  \n",
       "Témiscamingue             2.282582  274.057465  \n",
       "Le Domaine-du-Roy         2.363714  276.860870  \n",
       "La Vallée-de-l'Or         3.306656  275.491791  \n",
       "La Tuque                  3.572838  276.858612  "
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# NBVAL_IGNORE_OUTPUT\n",
    "shapes_data = shapes_simp.copy()\n",
    "shapes_data[\"tasmin\"] = tn_avg.to_series()\n",
    "shapes_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "44",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Now we can plot easily the results as a choropleth map!\n",
    "ax = shapes_data.plot(\n",
    "    \"tasmin\", legend=True, legend_kwds={\"label\": \"Minimal temperature 1993-05-20 [K]\"}\n",
    ")\n",
    "ax.set_ylabel(\"Latitude\")\n",
    "ax.set_xlabel(\"Longitude\");"
   ]
  }
 ],
 "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": "3.10.11"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}