{
 "cells": [
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   "source": [
    "# RRFS 🅱\n",
    "\n",
    "<style>\n",
    "  .beta-badge {\n",
    "    background-color: #f39c12;\n",
    "    color: white;\n",
    "    padding: 4px 8px;\n",
    "    border-radius: 4px;\n",
    "    font-weight: bold;\n",
    "  }\n",
    "</style>\n",
    "\n",
    "<span class=\"beta-badge\">BETA</span>\n",
    "\n",
    "The Rapid Refresh Forecast System (RRFS) is _undergoing rapid development_. There are some prototype products and forecasts available on the cloud on AWS. Some files have an index file, others do not.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "5a05a584",
   "metadata": {},
   "outputs": [],
   "source": [
    "from herbie import Herbie\n",
    "from herbie.toolbox import EasyMap, pc\n",
    "from herbie import paint\n",
    "\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "b918b218",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "✅ Found ┊ model=rrfs ┊ \u001b[3mproduct=prslev\u001b[0m ┊ \u001b[38;2;41;130;13m2024-Jun-22 12:00 UTC\u001b[92m F01\u001b[0m ┊ \u001b[38;2;255;153;0m\u001b[3mGRIB2 @ aws\u001b[0m ┊ \u001b[38;2;255;153;0m\u001b[3mIDX @ aws\u001b[0m\n"
     ]
    }
   ],
   "source": [
    "H = Herbie(\n",
    "    \"2024-06-22 12:00\",\n",
    "    model=\"rrfs\",\n",
    "    fxx=1,\n",
    "    member=\"control\",\n",
    "    domain=\"conus\",\n",
    "    # product=\"testbed\",\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "fdd6aa01",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "╭─ Herbie ────────────────────────────────\n",
      "│ Help for model='rrfs'\n",
      "│ \n",
      "│ Rapid Refresh Forecast System (RRFS) Ensemble\n",
      "│  aws product description: https://registry.opendata.aws/noaa-rrfs/\n",
      "│\n",
      "│ Herbie(date, model='rrfs', ...)\n",
      "│ \n",
      "│ fxx : int\n",
      "│ product : {\"prs\", \"nat\", \"testbed\", \"ififip\"}\n",
      "│ member : {\"control\", int}\n",
      "│ domain : {\"conus\", \"alaska\", \"hawaii\", \"puerto rico\", None}\n",
      "│ \n",
      "│ If product=\"natlev', then domain must be None\n",
      "│\n",
      "╰─────────────────────────────────────────\n"
     ]
    }
   ],
   "source": [
    "H.help()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "25ab760d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'aws': 'https://noaa-rrfs-pds.s3.amazonaws.com/rrfs_a/rrfs_a.20240622/12/control/rrfs.t12z.prslev.f001.conus.grib2'}"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "H.SOURCES"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "10a55673",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'prslev': '', 'natlev': '', 'testbed': '', 'ififip': ''}"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "H.PRODUCTS"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "c32ecceb",
   "metadata": {},
   "outputs": [
    {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 38MB\n",
       "Dimensions:              (y: 1059, x: 1799)\n",
       "Coordinates:\n",
       "    time                 datetime64[ns] 8B 2024-06-22T12:00:00\n",
       "    step                 timedelta64[ns] 8B 01:00:00\n",
       "    heightAboveGround    float64 8B 2.0\n",
       "    latitude             (y, x) float64 15MB 21.14 21.15 21.15 ... 47.85 47.84\n",
       "    longitude            (y, x) float64 15MB 237.3 237.3 237.3 ... 299.0 299.1\n",
       "    valid_time           datetime64[ns] 8B 2024-06-22T13:00:00\n",
       "    gribfile_projection  object 8B None\n",
       "Dimensions without coordinates: y, x\n",
       "Data variables:\n",
       "    t2m                  (y, x) float32 8MB 293.4 293.3 293.3 ... 284.6 284.5\n",
       "Attributes:\n",
       "    GRIB_edition:            2\n",
       "    GRIB_centre:             kwbc\n",
       "    GRIB_centreDescription:  US National Weather Service - NCEP\n",
       "    GRIB_subCentre:          0\n",
       "    Conventions:             CF-1.7\n",
       "    institution:             US National Weather Service - NCEP\n",
       "    model:                   rrfs\n",
       "    product:                 prslev\n",
       "    description:             Rapid Refresh Forecast System (RRFS) Ensemble\n",
       "    remote_grib:             https://noaa-rrfs-pds.s3.amazonaws.com/rrfs_a/rr...\n",
       "    local_grib:              /home/blaylock/data/rrfs/20240622/control/subset...\n",
       "    search:                  TMP:2 m above ground</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-f64000d2-8e3a-4cdf-8f78-f94d8c80aefe' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f64000d2-8e3a-4cdf-8f78-f94d8c80aefe' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>y</span>: 1059</li><li><span>x</span>: 1799</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-34883501-31ee-4adc-b662-5a255898d4fa' class='xr-section-summary-in' type='checkbox'  checked><label for='section-34883501-31ee-4adc-b662-5a255898d4fa' class='xr-section-summary' >Coordinates: <span>(7)</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</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2024-06-22T12:00:00</div><input id='attrs-3ab6fbef-5089-49a5-aa12-ea1f960e9bb6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3ab6fbef-5089-49a5-aa12-ea1f960e9bb6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1d4608d3-7b4e-47ce-9eb2-8cca55207eb3' class='xr-var-data-in' type='checkbox'><label for='data-1d4608d3-7b4e-47ce-9eb2-8cca55207eb3' 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>initial time of forecast</dd><dt><span>standard_name :</span></dt><dd>forecast_reference_time</dd></dl></div><div class='xr-var-data'><pre>array(&#x27;2024-06-22T12:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>step</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>01:00:00</div><input id='attrs-c7921e53-0b0e-4456-8133-9c0ee1483b84' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c7921e53-0b0e-4456-8133-9c0ee1483b84' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-305096ff-1665-4987-b367-c42ad0f5e1d6' class='xr-var-data-in' type='checkbox'><label for='data-305096ff-1665-4987-b367-c42ad0f5e1d6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time since forecast_reference_time</dd><dt><span>standard_name :</span></dt><dd>forecast_period</dd></dl></div><div class='xr-var-data'><pre>array(3600000000000, dtype=&#x27;timedelta64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>heightAboveGround</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.0</div><input id='attrs-d9fceb33-804c-4c6e-be54-1c96fb1f22a9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d9fceb33-804c-4c6e-be54-1c96fb1f22a9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-365e9d59-a528-46b6-96ba-fd244f801551' class='xr-var-data-in' type='checkbox'><label for='data-365e9d59-a528-46b6-96ba-fd244f801551' 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>height above the surface</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>positive :</span></dt><dd>up</dd><dt><span>standard_name :</span></dt><dd>height</dd></dl></div><div class='xr-var-data'><pre>array(2.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>21.14 21.15 21.15 ... 47.85 47.84</div><input id='attrs-e6367438-ff9b-4754-8515-4ca74c85172e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e6367438-ff9b-4754-8515-4ca74c85172e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a14bb1ff-f8b5-4e13-ae09-1696a5b2e58c' class='xr-var-data-in' type='checkbox'><label for='data-a14bb1ff-f8b5-4e13-ae09-1696a5b2e58c' 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>degrees_north</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([[21.138123  , 21.14511004, 21.1520901 , ..., 21.1545089 ,\n",
       "        21.14753125, 21.14054663],\n",
       "       [21.16299459, 21.1699845 , 21.17696744, ..., 21.17938723,\n",
       "        21.1724067 , 21.16541921],\n",
       "       [21.18786863, 21.19486142, 21.20184723, ..., 21.20426802,\n",
       "        21.19728462, 21.19029425],\n",
       "       ...,\n",
       "       [47.78955926, 47.799849  , 47.81012868, ..., 47.81369093,\n",
       "        47.80341474, 47.79312849],\n",
       "       [47.81409316, 47.82438621, 47.8346692 , ..., 47.83823259,\n",
       "        47.8279531 , 47.81766354],\n",
       "       [47.8386235 , 47.84891986, 47.85920615, ..., 47.86277069,\n",
       "        47.85248789, 47.84219502]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>237.3 237.3 237.3 ... 299.0 299.1</div><input id='attrs-e44676a7-a2cf-4d4a-9e82-68050696c26c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e44676a7-a2cf-4d4a-9e82-68050696c26c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d51f891a-dd9f-41a1-ad69-fc2f90af1427' class='xr-var-data-in' type='checkbox'><label for='data-d51f891a-dd9f-41a1-ad69-fc2f90af1427' 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>degrees_east</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([[237.280472  , 237.30713868, 237.3338097 , ..., 287.6569408 ,\n",
       "        287.68361332, 287.71028151],\n",
       "       [237.27297501, 237.29964881, 237.32632695, ..., 287.66442108,\n",
       "        287.69110073, 287.71777603],\n",
       "       [237.26547368, 237.2921546 , 237.31883986, ..., 287.6719057 ,\n",
       "        287.69859247, 287.7252749 ],\n",
       "       ...,\n",
       "       [225.9351904 , 225.97171577, 226.00825329, ..., 298.97907406,\n",
       "        299.0156158 , 299.05214538],\n",
       "       [225.91986142, 225.95639874, 225.99294822, ..., 298.99437498,\n",
       "        299.03092868, 299.06747022],\n",
       "       [225.90452027, 225.94106954, 225.97763099, ..., 299.00968806,\n",
       "        299.04625373, 299.08280723]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>valid_time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2024-06-22T13:00:00</div><input id='attrs-4ec09fa7-7e00-41b6-b415-e40b6fa3b501' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4ec09fa7-7e00-41b6-b415-e40b6fa3b501' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-57de0651-ab8c-4259-b201-f8d40ece0d45' class='xr-var-data-in' type='checkbox'><label for='data-57de0651-ab8c-4259-b201-f8d40ece0d45' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array(&#x27;2024-06-22T13:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gribfile_projection</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>None</div><input id='attrs-b9427ac0-75b3-478c-beda-feb73d714731' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b9427ac0-75b3-478c-beda-feb73d714731' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b59bdab8-42aa-4024-b2ce-86477630d74f' class='xr-var-data-in' type='checkbox'><label for='data-b59bdab8-42aa-4024-b2ce-86477630d74f' 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>crs_wkt :</span></dt><dd>PROJCRS[&quot;unknown&quot;,BASEGEOGCRS[&quot;unknown&quot;,DATUM[&quot;unknown&quot;,ELLIPSOID[&quot;unknown&quot;,6371229,0,LENGTHUNIT[&quot;metre&quot;,1,ID[&quot;EPSG&quot;,9001]]]],PRIMEM[&quot;Greenwich&quot;,0,ANGLEUNIT[&quot;degree&quot;,0.0174532925199433],ID[&quot;EPSG&quot;,8901]]],CONVERSION[&quot;unknown&quot;,METHOD[&quot;Lambert Conic Conformal (2SP)&quot;,ID[&quot;EPSG&quot;,9802]],PARAMETER[&quot;Latitude of false origin&quot;,38.5,ANGLEUNIT[&quot;degree&quot;,0.0174532925199433],ID[&quot;EPSG&quot;,8821]],PARAMETER[&quot;Longitude of false origin&quot;,262.5,ANGLEUNIT[&quot;degree&quot;,0.0174532925199433],ID[&quot;EPSG&quot;,8822]],PARAMETER[&quot;Latitude of 1st standard parallel&quot;,38.5,ANGLEUNIT[&quot;degree&quot;,0.0174532925199433],ID[&quot;EPSG&quot;,8823]],PARAMETER[&quot;Latitude of 2nd standard parallel&quot;,38.5,ANGLEUNIT[&quot;degree&quot;,0.0174532925199433],ID[&quot;EPSG&quot;,8824]],PARAMETER[&quot;Easting at false origin&quot;,0,LENGTHUNIT[&quot;metre&quot;,1],ID[&quot;EPSG&quot;,8826]],PARAMETER[&quot;Northing at false origin&quot;,0,LENGTHUNIT[&quot;metre&quot;,1],ID[&quot;EPSG&quot;,8827]]],CS[Cartesian,2],AXIS[&quot;(E)&quot;,east,ORDER[1],LENGTHUNIT[&quot;metre&quot;,1,ID[&quot;EPSG&quot;,9001]]],AXIS[&quot;(N)&quot;,north,ORDER[2],LENGTHUNIT[&quot;metre&quot;,1,ID[&quot;EPSG&quot;,9001]]]]</dd><dt><span>semi_major_axis :</span></dt><dd>6371229.0</dd><dt><span>semi_minor_axis :</span></dt><dd>6371229.0</dd><dt><span>inverse_flattening :</span></dt><dd>0.0</dd><dt><span>reference_ellipsoid_name :</span></dt><dd>unknown</dd><dt><span>longitude_of_prime_meridian :</span></dt><dd>0.0</dd><dt><span>prime_meridian_name :</span></dt><dd>Greenwich</dd><dt><span>geographic_crs_name :</span></dt><dd>unknown</dd><dt><span>horizontal_datum_name :</span></dt><dd>unknown</dd><dt><span>projected_crs_name :</span></dt><dd>unknown</dd><dt><span>grid_mapping_name :</span></dt><dd>lambert_conformal_conic</dd><dt><span>standard_parallel :</span></dt><dd>(38.5, 38.5)</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>38.5</dd><dt><span>longitude_of_central_meridian :</span></dt><dd>262.5</dd><dt><span>false_easting :</span></dt><dd>0.0</dd><dt><span>false_northing :</span></dt><dd>0.0</dd><dt><span>long_name :</span></dt><dd>RRFS model grid projection</dd></dl></div><div class='xr-var-data'><pre>array(None, dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-184fa4ad-8e01-4648-b589-c8b8a6174384' class='xr-section-summary-in' type='checkbox'  checked><label for='section-184fa4ad-8e01-4648-b589-c8b8a6174384' 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>t2m</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>293.4 293.3 293.3 ... 284.6 284.5</div><input id='attrs-d35167f4-4eb4-48e6-b6ad-21db90440b84' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d35167f4-4eb4-48e6-b6ad-21db90440b84' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d0b3c9a3-ea70-41f9-ae6c-1f00d0dc9e10' class='xr-var-data-in' type='checkbox'><label for='data-d0b3c9a3-ea70-41f9-ae6c-1f00d0dc9e10' 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>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>1905141</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>heightAboveGround</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_gridType :</span></dt><dd>lambert</dd><dt><span>GRIB_DxInMetres :</span></dt><dd>3000.0</dd><dt><span>GRIB_DyInMetres :</span></dt><dd>3000.0</dd><dt><span>GRIB_LaDInDegrees :</span></dt><dd>38.5</dd><dt><span>GRIB_Latin1InDegrees :</span></dt><dd>38.5</dd><dt><span>GRIB_Latin2InDegrees :</span></dt><dd>38.5</dd><dt><span>GRIB_LoVInDegrees :</span></dt><dd>262.5</dd><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1799</dd><dt><span>GRIB_Ny :</span></dt><dd>1059</dd><dt><span>GRIB_cfName :</span></dt><dd>air_temperature</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Lambert Conformal can be secant or tangent, conical or bipolar</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>1</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>21.138123</dd><dt><span>GRIB_latitudeOfSouthernPoleInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>237.280472</dd><dt><span>GRIB_longitudeOfSouthernPoleInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_parameterName :</span></dt><dd>Temperature</dd><dt><span>GRIB_parameterUnits :</span></dt><dd>K</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepRange :</span></dt><dd>1</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>GRIB_uvRelativeToGrid :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>2 metre temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>grid_mapping :</span></dt><dd>gribfile_projection</dd></dl></div><div class='xr-var-data'><pre>array([[293.37997, 293.33997, 293.33   , ..., 301.15997, 300.96997,\n",
       "        300.87   ],\n",
       "       [293.37   , 293.33   , 293.33   , ..., 301.03998, 300.86   ,\n",
       "        300.96   ],\n",
       "       [293.30997, 293.27997, 293.28998, ..., 301.58   , 301.16998,\n",
       "        301.34998],\n",
       "       ...,\n",
       "       [284.90997, 284.87997, 284.80997, ..., 284.68997, 284.53998,\n",
       "        284.49   ],\n",
       "       [284.9    , 284.86   , 284.80997, ..., 284.66998, 284.52   ,\n",
       "        284.44998],\n",
       "       [284.91998, 284.88998, 284.86   , ..., 284.68997, 284.63998,\n",
       "        284.49997]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2b6a5724-a721-49ff-aa95-24b6464c10c3' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-2b6a5724-a721-49ff-aa95-24b6464c10c3' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-bf084c20-6a4c-4692-9cc0-386618c95db4' class='xr-section-summary-in' type='checkbox'  ><label for='section-bf084c20-6a4c-4692-9cc0-386618c95db4' class='xr-section-summary' >Attributes: <span>(12)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>GRIB_edition :</span></dt><dd>2</dd><dt><span>GRIB_centre :</span></dt><dd>kwbc</dd><dt><span>GRIB_centreDescription :</span></dt><dd>US National Weather Service - NCEP</dd><dt><span>GRIB_subCentre :</span></dt><dd>0</dd><dt><span>Conventions :</span></dt><dd>CF-1.7</dd><dt><span>institution :</span></dt><dd>US National Weather Service - NCEP</dd><dt><span>model :</span></dt><dd>rrfs</dd><dt><span>product :</span></dt><dd>prslev</dd><dt><span>description :</span></dt><dd>Rapid Refresh Forecast System (RRFS) Ensemble</dd><dt><span>remote_grib :</span></dt><dd>https://noaa-rrfs-pds.s3.amazonaws.com/rrfs_a/rrfs_a.20240622/12/control/rrfs.t12z.prslev.f001.conus.grib2</dd><dt><span>local_grib :</span></dt><dd>/home/blaylock/data/rrfs/20240622/control/subset_8ae4f5f7__rrfs.t12z.prslev.f001.conus.grib2</dd><dt><span>search :</span></dt><dd>TMP:2 m above ground</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset> Size: 38MB\n",
       "Dimensions:              (y: 1059, x: 1799)\n",
       "Coordinates:\n",
       "    time                 datetime64[ns] 8B 2024-06-22T12:00:00\n",
       "    step                 timedelta64[ns] 8B 01:00:00\n",
       "    heightAboveGround    float64 8B 2.0\n",
       "    latitude             (y, x) float64 15MB 21.14 21.15 21.15 ... 47.85 47.84\n",
       "    longitude            (y, x) float64 15MB 237.3 237.3 237.3 ... 299.0 299.1\n",
       "    valid_time           datetime64[ns] 8B 2024-06-22T13:00:00\n",
       "    gribfile_projection  object 8B None\n",
       "Dimensions without coordinates: y, x\n",
       "Data variables:\n",
       "    t2m                  (y, x) float32 8MB 293.4 293.3 293.3 ... 284.6 284.5\n",
       "Attributes:\n",
       "    GRIB_edition:            2\n",
       "    GRIB_centre:             kwbc\n",
       "    GRIB_centreDescription:  US National Weather Service - NCEP\n",
       "    GRIB_subCentre:          0\n",
       "    Conventions:             CF-1.7\n",
       "    institution:             US National Weather Service - NCEP\n",
       "    model:                   rrfs\n",
       "    product:                 prslev\n",
       "    description:             Rapid Refresh Forecast System (RRFS) Ensemble\n",
       "    remote_grib:             https://noaa-rrfs-pds.s3.amazonaws.com/rrfs_a/rr...\n",
       "    local_grib:              /home/blaylock/data/rrfs/20240622/control/subset...\n",
       "    search:                  TMP:2 m above ground"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds = H.xarray(\"TMP:2 m above ground\")\n",
    "ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "f65c3915",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.0, 1.0, 'RRFS: member=control ')"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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du3bh6aefxk8//YSsrCyYzWav+5s9ezZ27NiB559/Hj179sTnn3+Oq6++GoIguMkrR44cwaRJkzBo0CB89dVXaGtrwxNPPIHx48djz549qmsceGPIkCHYunWr27JLLrkEaWlpePnllz3a/+c//8Htt9+OzMxMPPDAA+jTpw9sNhuysrLw9ttvY+vWrfj+++9l9/fCCy8gPj4eCxcuRGpqKkpKSvDss89iyJAh2LZtG/r27QsAKC4uxuuvv47rrrsO9957L0JCQrBx40YsWrQIv//+O37//XePStVnC76O/fbbb8cnn3yCp556CsOHD8evv/6Ku+++G42NjW7V35988klMnjwZzz77LLp164bs7Gw89dRT+OGHH7B7927ZKtx33HEHgoKCfD4OJRkacMrh48ePR2RkJJYtW4agoCA899xzmDRpEnbs2IHMzExX208++QTl5eUYMWIEBEGAzWbzeTwufMmTS3MN79ixw2354sWLCQCybNkyt+VSOYxtNhvJyMggRqORtLa2upYXFBQQAOSll16S3f+6desk90NxOBy+HM7fErl80YGmubm50/cRaHbs2OGWZ9obvh6jVI5rDQ0NDY3TiyAIRBAEQoizPgQA8uSTT3q0s9vtpLq62mP5119/TQCQTz75xOu+fv75ZwKAfP75527Lp0+fTrp27Ursdrtr2eWXX05iYmJIfX29a1lhYSExGAzkwQcf9LovAOSOO+6QXEfHzNaYYJGqnUEIIVu2bCE6nY7MmDGDtLW1eaxvb28nP/zwg+K4KioqPJYdP36cGAwGctNNN7mWNTU1udXkoLz00ksEANm4caPifghRPgediS9jP3DgAOE4jjz77LNubW+55RZiNptJTU2Na5nUuaOyylNPPSU5lm+++YaEhISQjz76SLEGBosaGZoQQh544AFiMBhIYWGha1l9fT2JiYkhV1xxhVtbVqaeNWsWSUpK8joOOQISs0FNNBUVFV7b6vV6DBo0CFar1SczJuCczQCAhIQEyfU879/hUPewdevW4ZZbbkF0dDTCwsJw/fXXo7m5GeXl5bjiiisQERGBhIQE3H///R4antVqxdNPP41evXrBZDIhNjYWN954I6qqqtzaJScn4/zzz8fKlSsxePBgmM1m9O7dGytXrnSNpXfv3ggODsaIESOQlZUlOeaDBw9i6tSpCA4ORmxsLBYsWICWlha3NoQQvPXWWxg0aBDMZjMiIyNx2WWXeZh0J02ahH79+mHDhg0YM2YMLBYL5s2b59e5pAiCgCVLlrj2HRERgVGjRuHHH390a/Piiy+6zllcXByuv/56HDt2THJ8O3bswPjx42GxWJCamornn38egiAAAP744w8MHz4cAHDjjTe6zIfUtE7dz/bv349zzjkHoaGhmDp1KgCgtrYWt99+O7p16waj0YjU1FQsXLgQ7e3tHToHGhoaGhqBR+wiJIdOp0N0dLTHcuoVUVJS4rWP77//HiEhIbj88svdlt94440oLS3FX3/9BQCw2+1YuXIlLr30UoSFhbnaJSUlYfLkyYqWg87k2WefBcdxePfdd2EymTzWG41GXHjhhYp9xMXFeSzr2rUrunfv7nYOg4ODERwc7NHWl/MthspnhYWFbsupK9kff/zhWqZGVpDDl7GvWLEChBDceOONbm1vvPFGtLa2YvXq1a5lUudu6NCh0Ol0kuejtrYWd9xxB5555hkkJiYqjtkfvv/+e0yZMgVJSUmuZWFhYZg9ezZ++ukn2O1213J/ZWopAtJTQUEBAKBnz56q20dEREiaFAVBgN1ud/sjJxNmDRs2DAaDAXfffTc+++wzrz5vycnJPvmY3XzzzQgPD8eXX36Jxx57DJ9//jluueUWzJo1CwMHDsQ333yDuXPn4pVXXnHzzRMEARdddBGef/55XHPNNfj555/x/PPP4/fff8ekSZPQ2trqtp+9e/fikUcewUMPPYTvvvsO4eHhmD17Np588km89957ePbZZ/HZZ5+hvr4e559/vsf2NpsN5513HqZOnYoVK1ZgwYIFeOedd3DllVe6tbvttttwzz33YNq0aVixYgXeeustHDx4EGPGjPFQDMvKyjBnzhxcc801+OWXX3D77bfL/h5Sfw6Hw62/G264AXfffTeGDx+O5cuX48svv8SFF17o9sCYP38+HnroIUyfPh0//vgjnnrqKaxevRpjxoxBdXW1W3/l5eW49tprMWfOHPz444+YOXMmHnnkEXz66acAnGblDz74AADw2GOPYevWrdi6dStuvvlmVx9WqxUXXnghpkyZgh9++AGLFy9GW1sbJk+ejI8//hj33nsvfv75Z8yZMwcvvvgiZs+e7fWa0dDQ0ND4e7Fu3ToAcLn/UGicKcuBAwfQu3dv6PXuXucDBgxwrQeA/Px8tLa2upaL2+bl5amOWwgUDocD69atw9ChQ9GjR4+A9n306FEUFRV5nEMp5M53Z+BNVvAVqbEfOHAAsbGxiI+Pd2srvibk+PPPP+FwOCTPx1133YWUlBS/41aUZOjW1lbk5+fLXqOtra2q44t8xhczCHWj2rZtG7HZbKSxsZGsXr2axMfHkwkTJhCbzebWnrpR2Ww2YrPZSFlZGXniiScIAPL222+7taUmIKm/33//3dXu/fffJyEhIa51CQkJ5PrrrycbNmzwGG9aWhpJS0tTfVx33nmn2/KLL76YACCvvvqq2/JBgwaRIUOGuL5/8cUXBAD59ttv3dpRU9lbb73lWpaUlETMZjM5duyYa9mePXtcx8K69qxYsYIAID/++KNr2dy5cwkA8sYbb7jt65lnniEAyKZNmwghhGzdupUAIK+88opbu5KSEmI2m91MuhMnTiQAyNq1az3ODd2ft7+JEye6ttmwYQMBQBYuXOjRH+Xw4cMEALn99tvdlv/1118EAHn00Uc9xvfXX3+5te3Tpw8599xzXd+V3KjocYhd8N5++20CgHz11Vduy1944QUCgPz222+uZZoblYaGhsbZhZIblRTHjh0jXbp0IcOGDfNwvZ4yZQrR6XRuyzIyMtzeM5TS0lICwOVKs3nzZgKAfPHFFx5tn332WQKAlJaWKo4NAXajKi8vJwDIVVddpbhfX7HZbGTSpEkkLCyMFBcXK7bdu3cvMZvN5JJLLlHVt/gcUPmsoKDArd369es9zodaWUEtcmOfPn06yczMlNzGaDSSW2+9VbbPhoYG0rt3b9KjRw/S2Njotm7lypXEYDCQ/fv3E0JOHaMvblRKMvTx48cJAPLcc895bP/5558TAGTLli2S/XfUjcqvAPFRo0a5fe/duzd++OEHD80fcLr7GAwGt2WPPPIIbrvtNsm+7777bsyZM8dtGRuwMm/ePFx66aX45ZdfsG3bNmzbtg2ffvopPvnkE7zwwgt44IEHXG3z8vJ8Oq7zzz/f47hWrFiBWbNmeSz/7bffXN9XrlyJiIgIXHDBBW4mqEGDBiE+Ph5//PEH5s+f77a8W7dubv0BzlkVi8XisbyoqMhjrNdee63b92uuuQYLFy7E+vXrMXbsWKxcuRIcx2HOnDluY4qPj8fAgQPdTI8AEBkZiSlTpnjsZ9GiRao07NDQUNfnVatWAXAGOMmxfv16APDI7jRixAj07t0ba9euxTPPPOM2bmrOpAwYMMDnzFOXXnqp2/d169YhODgYl112mdvyG264AQ899BDWrl2L6dOn+7QPDQ0NDY2zj9raWpx33nkghGD58uUebiJr166V3E7JZUu8zpe2f0cIIbjpppuwceNGfPvtt4oWk8LCQpx//vno0aOHbBB/oAmUrOBt7P78zm1tbZg9ezaKioqwbt06t8Dt+vp63HbbbXjooYfQr18/n8bK4k2G9nfsHcUvZePjjz9G79690djYiOXLl+Odd97B1Vdf7RIyWdLS0vDll1+CEIKioiI8/fTTeO655zBgwABcddVVHu27d+/ukaZLTHh4OK6++mpcffXVAJwKzbRp07Bw4ULccsstiIiI8OewEBUV5fbdaDTKLmfNoRUVFairq3O1FyN2CfJlPwA8TK96vd7DD5Wa82hcS0VFBQghspkOUlNT3b7LxcEkJiaie/fukutY2Au0qqoKOp3Ow8TIohR/07VrVw8FS8rv1mQyebiYKWGxWNx8aek44uPjPW6wuLg46PV61zg1NDQ0NP6+nDhxAtOnT8fx48exbt06j3egHNHR0ZLvAZoulr636TtKri3HcV5lE51O5+GSTKGThuLJWyViYmJgsVhcru4dhRCCm2++GZ9++ik++ugjXHTRRbJti4qKMHnyZOj1eqxdu9ZDvuksAiEreBt7dHS0pPLS3NwMq9Uqeazt7e245JJLsGnTJqxcuRIjR450W79w4UIYDAYsWLDAFc/c1NQEAGhpaUFdXR3Cw8O9KgNKMnRkZCQ4jlN1PQcav5SN3r17uw5m8uTJcDgceO+99/DNN994zBAHBQW52g4fPhyTJ09G3759cc899+D8888PSM2Ivn374qqrrsLrr7+OnJwcD622s4mJiUF0dLRbUBALO+sfCOx2O2pqatxuqvLycgCnbrSYmBhwHIeNGzdKBoWJl8ldwPPmzcNHH33kdUwTJ050WUtiY2PhcDhQXl4uq8TQcZaVlXkoM6WlpYiJifG6T1+ROsbo6Gj89ddfIIS4ra+srITdbu+UcWhoaGhonD5OnDiBadOmoaCgAGvXrpX0WZejf//++OKLL2C32928N/bv3w8ArlnotLQ0mM1m13KW/fv3Iz093Wsq0y5duuD48eOS6+hyuQlEKXQ6HaZOnYpVq1bh2LFjqiYO5aCKxgcffID333/fY/acpaioCJMmTQIhBH/88UeH9kvPmThhi3gSN1CoGXv//v3x5Zdfory83G1SVXxNUNrb23HxxRdj/fr1+OGHH1zJaVgOHDiAwsJCyUnauXPnAnBex/5OpgNw1fmQu0bNZrNqJdxXAhIg/uKLLyIyMhJPPPGE14j/6OhoPP/886ioqJAsgKJETU2NRzFAypEjRwA4Z8VPN+effz5qamrgcDgwbNgwjz+xCSsQ0NollM8//xyA0xWLjokQguPHj0uOqX///qr2s2jRIuzYscPr3zvvvOPaZubMmQCApUuXyvZLXbbEQVs7duzA4cOHJW9Gb1AFypcZjKlTp6KpqQkrVqxwW/7xxx+71mtoaGho/D2hisbRo0fx22+/YfDgwT5tf8kll6CpqQnffvut2/KPPvoIXbt2dc1Q6/V6XHDBBfjuu+/Q2NjoaldcXIz169erSjgybdo0rF+/3iOLJSEEX3/9NZKTk5Genu7T+B955BEQQnDLLbdIyk82mw0//fSTYh90+w8++ADvvPOORxYmluLiYkyaNMkVnM5mPfIHmuRn3759bsvZzJaBQu3YL7roInAc5zER++GHH8JsNmPGjBmuZdSisW7dOnz77bc499xzJft8/fXXsX79ere/1157DYBTDlu/fn1AJufpWNhMWI2Njfjuu+9w4YUXSoZDBIKA9BoZGYlHHnkEDz74ID7//HNFjRcArr/+erz66qt4+eWXcccdd3i4tsixfv163H333bj22msxZswYREdHo7KyEl988QVWr16N66+/3k0LpTelr7EbvnLVVVfhs88+w3nnnYe7774bI0aMgMFgwLFjx7B+/XpcdNFFuOSSSwK2P6PRiFdeeQVNTU0YPnw4tmzZgqeffhozZ87EuHHjAABjx47FrbfeihtvvBFZWVmYMGECgoODUVZWhk2bNqF///5ucSRy+JrRCwDGjx+P6667Dk8//TQqKipw/vnnw2QyYffu3bBYLLjzzjuRmZmJW2+9FUuWLAHP85g5cyYKCwvx+OOPo0ePHvjnP//p83mhM0ufffYZevfujZCQEHTt2lVRAb3++uvx5ptvYu7cuSgsLET//v2xadMmPPvsszjvvPMwbdo0n8ehoaGhodG5rFq1Cs3NzS7B/tChQ65Ky+eddx4sFgtaW1tx7rnnYvfu3Xj99ddht9uxbds2Vx+xsbFIS0tzfZ86dSr+/PNPtzjHmTNnYvr06Zg/fz4aGhqQnp7ukjk+/fRT6HQ6V9vFixdj+PDhOP/88/Hwww+7ivrFxMTgvvvu83pMTzzxBH766SeMHDkSDz/8MDIyMlBeXo7//Oc/2LFjB7766iufz9Po0aOxdOlS3H777Rg6dCjmz5+Pvn37wmazYffu3Xj33XfRr18/XHDBBbJ93HXXXXj//fcxb9489O/f3+0cmkwmlwJXWVmJyZMno6ysDO+//z4qKytRWVnpatu9e3ef3bKHDx+OzMxM3H///bDb7YiMjMT333+PTZs2+XwulPBl7H379sVNN92EJ598EjqdDsOHD8dvv/2Gd999F08//bSbK9Jll12GVatWYeHChYiOjnY7d2FhYejTpw8AKBYi7tu3r2siuaPcf//9+OSTTzBr1iz861//gslkwvPPP4+2tjZXqQDKoUOHcOjQIQBO75mWlhbXPdanTx/X2FXhSzS5XFE/QghpbW0liYmJJCMjw1XkRqqoH4UWylm8eDEhRF1BkpKSEvLYY4+RsWPHkvj4eKLX60loaCgZOXIkWbJkiVtxHUKc2RnURM/LHdeTTz5JAJCqqiq35VKF9Ww2G3n55ZfJwIEDSVBQEAkJCSG9evUit912G8nNzXUbk1ThHUhkoZA6J3Tf+/btI5MmTSJms5lERUWR+fPnSxakWbZsGRk5ciQJDg4mZrOZpKWlkeuvv55kZWW52ij9Tv7icDjIa6+9Rvr160eMRiMJDw8no0ePJj/99JNbmxdeeIH07NmTGAwGEhMTQ+bMmUNKSkrc+pIb39y5cz1+3y+++IL06tWLGAwGtwwlSsUQa2pqyD/+8Q+SkJBA9Ho9SUpKIo888ohHASQtG5WGhobG2UFSUpJs9h2auUgpQw8Aj+c5zWYkprGxkdx1110kPj6eGI1GMmDAAMmsU4QQkpWVRaZOnUosFgsJCwsjF198McnLy1N9XLm5uWTOnDmu91FERAQ555xzJLNFis+HlGxB2bNnD5k7dy5JTEwkRqORBAcHk8GDB5MnnniCVFZWeu1b7hyy72CaPUnuz1vGsObmZgKA3HfffW7Lc3JyyDnnnEPCwsJIbGwsufPOO10ypDgblVpZQYyvY7dareTJJ590nc+ePXuS//u///PoV6lPNoun0pgCWdSPEELy8vLIxRdfTMLCwojFYiFTp04lO3fu9GhHZWB/fksxHCEnE/BqaGhoaGhoaGhonAF2796NIUOG4M0333TV+tL476BznLM0NDQ0NDQ0NDQ0vHDs2DHs2bMHzzzzDCwWCy6++OIzPSSNABO4WuQaGhoaGhoaGhoaPvDee+/hsssug8PhwI8//nhGEv1odC6aG5WGhoaGhoaGhoaGRqegWTY0NDQ0NDQ0NDQ0NDoFTdnQ0NDQ0NDQ0NDQ0OgUNGVDQ0NDQ0NDQ0NDQ6NTUJ2Nqq2tTbZ6t4aGhoaGhoaGhobG/w5GoxFBQUFe26lSNtra2hAaHwF7fXuHB6YBJCYmwm63w2Kx4NixY+jataurOqNaeJ5Hamoq8vPzERoaira2NsTGxqKhocFVUVWKqKgo1341NDQ0NDT+WwkNDUV0dDSKiorgLRdOXFwcbDYbTpw4AcBZxToiIgIRERGoqKhAly5dUFBQcDqGrXEWkJiYiOrqaq9yGc/ziI+Ph8FgQHl5OdrbAyMn8zyPsLAwREZGor29HaWlpQHpN9DEx8ejoKDAq8KhKhtVQ0MDwsPD0euVGdCZtdIcHUVosiFmVyusTVacqGkCak5ZjLhuZugv7wEAyN1d5FqeMTjJ9XlCSgr6x6bhs0e+wrALByNzdAYAYMNnW9BQ1Yika9PRPzbN1X5/VT42nHxIOv6qgbC1BpPmjsfmyArXfjIGJ7ntDwDMjX1xzdxY9I9Nwz3vvA9zY1+PY2mZOAYAYPlzi6vtm9vXuPq6afYkj2X0WCakpHj0R8cpPnaptuLt6HHQ7el4W0MPImNwEo5tCHF9p8cnPgb63fLnFrSGHnRrY/lzi7OtIGCgQQdTr3RsP5iLUUP7SY5p284Drj4p4n3TZexYpc6zuC3t53TCXoNCmx2k0gpdokWyrbffS4kNEi/0jvTX2dDxyo2RvRcB5/0oXiYIAor2lSBpQA/wvLx3q9S2ADAoPRUA8MnW32X3Lbctu168rXiZ1HqlPn2loboRbU3tiEuOAXDquABgT97RgO2H7TfQfLL1d/SPTQv4PvbkHcWg9FTc8vm7rufbqrevCeg+lPbN0pFj68O1uj4fIma/+1HTPyEEt89fhnWOcPS8f75r+badB1zP7W07D4CzWtF92SeYctkQzLvzEgCnjnnl66uRvbsESRmxePrDe/0aUyCvXSne3L4Gd4yY5nU5e7/e8877yBicJLldR6HPDTXPvtPBoPRUyd+AXsf03qIc+Csbr9+3DGOfnoQtpSUApJ/vdfm1OPDxPiT1TkTCJYnQm9zlY3qsUvtXew+ltNVj5owX8NgH92Bt+V7J9+OZwtFqx5H7VqO+vh5hYWGKbX3SHHRmPXRmQ4cGpwHozAacmGCEdUkODBd3B/QcSI0VQn4jknsloNRsQHZWATijzm2b7KwCZA5LwebyYxiR0g9pw1JRvK8Eg6YPAACMvnQE3r39A0y5YQLMIace4qYWE3RmAyYmJeP3n8uc/TU7MH18Lyxdvga9xqQDACztg9Eaug8AkDksBUA7TMEm5LQcw+3XnYt1+fkoXh/qdiyc2bkfzmjEspUbMf9KE6b364W8g8eQOSwFpmATzCFm6MwG1/HQdZvLj2FKmvuDZ3q/XliXn+8aEwC3Nuvy3YUfuk5nNuD26851teGMOnBGI1pD96HXMGdfbdFHnMfZOBgA0DJjPCzrNiJ4axZapoxH64ypzmM5eTy0DwAI3poFGI2u4zX3iIejohKcyYS/DuVj7IiBrjFt3r4XY0cMxLiJo7DZbAa3402YGwecPE8652dnt2gN3QcOp/ZjaR/sWkfX023p9nRspxv23uccAEIIeJnngSnY5Nc+1uXnSz5j/O3vdKAzGzyuY5aclmMYGJfh+j4ipB/2Vua6LQMAk8V5rygpG5v3O+99lr2VuTCXmzG0Z7prnVT/I0KklWLX/ltOnWO6LR2rGLre1GJye9Z0FFubHRAIzCHO42EJ5H5CwoLdvu/MyfPYn7/MP/diVe3E+1Qaw7JNqzAwLgPZ5WWY3q8X7p9yAYb2TMfOnDyPtoE6DhZ67gPRdxjHAQAOEAtCOtybfP+UZ569CrMufAk7N+7AyJmTsXn7XnBms+u5zZnNiFrxM6LjTeiaHg9TkAkGox7jhvTHzpw8TLx2HPK2fwzBQTyuG7XQvpRg77OBcRn4x5KlAIC375wvt4mL+6dcoGo5+wywtA/G/VPGSj4rOorcs0bu2acWX7el90h2eZnk84P+nuOG9AcA5Ow9ijef/BQ1JbXodVVf/HWiXPb5XrKpGIe/PIB5D1+O6CFdPZ6T6/LzYQo2ue5b8f7VXktdwjkMGN8Xyz5dgZ4X9frbyuCameIk9GISC7OdhVDUjJC4YAwZlI7tLZVAKoDh0aCGMqewD2RnuWuxVOEAgL4TeuHTR5fDbrVDb9QjLCYUfSf2xqYvt+Ki+2e5bTclLQ37X9sFIbcRXLQRZHQIli5fA3PjAGRn7cP8K6fhw/WVyByW4rbPD9+rRMuU8ehFfsGUtDSsg1PhaJniFNQt6zaeVFAGuAnFmcNSMCUtDQPjMlw3IR03eyzs+Oi5F9/YdDk9dqkbPzurwNVf5rCUk8dBBfVTbmVugvuON9Ea6r6MhQy/A62MosDyV0k5DBWVMNps0OccxWbATeFgMTcOcCkNbF9UsaOfaTvxOFmFg21zOhH/drARwCgvFLP3kZIgruZ+U9r+bEBqfOvy830e99G6UqQISW5pO8TC6D9Hz3B74dLP9KUq9zJW+5Jm+6Xf2XuYbeNr394Y2jMdNWEnsHXXoQ735Q1W8BvaM91nIXrZplWYN26mSwnwVwgXj0Nq/dCe6Zg3bqZku85QLOTGECgOEGlrqD/041rc+qTfWZKTY3HZJSPw9ZZvsTk6ym3d5u17AQD6lhZkjkpDv4xktDa1wRDlVIOG9kzHTgAcz6E0u8zn8bG/72tbV+Ofo2e4vovvKXqf0Xspc1iKW/tA43yPjO20/jsD9jmj5rlDr13xf5Z+XAu21RF88vL32PjzDjiGRUA3KwV5RgcA6ed78YZCHPnmMK568lJE9+3qNjapyZmOkhptRlxQNH47TfJpZ/A/n41qSlraGRFmyAkrmsqasOHx9bDvqYUju8FtPSs8s1Chb29lLuJSYhESGYyCPYUAgOIDxxAWG4rc7fmoLKxy2y6uIRQlB48htHsYTLdmYEv1cQDugmxr6D5MSUtzCfTZWQVomTLeY1zsstbQfcgcloLW0H0uIZgVtPZW5ioKlPQYxW3Y7+x5YD+zbVhhnLYTKwm+COriY6RY1m10fbbFxqBfcndX283b97peXvSznAIiNQ6x8iGloPgCVboCgce1aBcAPSfZlr2fOqpoqG0X6Jm5jiCnaHh7CaVGuFfNpS/FnTl5bkILPdahPdNdn+l6ufPAbiOH0jmk69g2nSHochyHXondA96vGPpb+HsMVPifN25mh8+DkrJzOpQJJbzNxp8p+nEtkoqFHKGhQTCVWxHxxWsI/+p1BP/0BkJWrXGtd8TFYGdNMcwhZjQ3trptO7RnOp5b/iAmXDjCpzGKzx37Tnxt62oAnvccK7B2pqIBnLKYnE3PTpaOCO30nqL3j/g/hRCC//t6D26Y/BD25+YDNyTBMDYW/EnPAanneNEfBcj+5jCufvJS9Ojr/qxiJ2mU3n1q72t6jVdUNCC3Wb2yS+XaQMu2Qm07hGr/YlL+55UNOaR+KPEP2JEfUzckCvqLuyNtVgbsq8pg+64EIT9VYlwXZ7wGKyTKCYwOuwP1VQ1ornNekFkrd2PDp5sRFBKEzxZ+hd/eXYsVn/+KQ0v24NOHlwMABk/s79ZH5rAUJE5u9NjP0uVrQIbf4bJesMdJl1GK14e6CcS0LX2IUcWFCqxiRUosyFLhcl1+voegOf/KU/6ldD9Ll69xKT2JkxsxJS3NbTy0fyrMs0K9uXGAh0LFwipi7PFTDuYWYGTPZLdt2PVU+QgUvlg1xNaejuL2OykoGyxSvyFF6d5Rq7BQOmM2KdCIrRFieI6DIAiu72Ilg0JfokqCoJwAoUZ4ZM+lt/MaSEFlZ04eOJ4DBOLxMvZ13Go409eMmt8ROLMC/5lWdtSipHz8+ONOvPef9WitasFFA4ehT2QsxvDdELN/DxLe+xCRy78DV3MEo7qlwRJqRltzm0cf6f2TcdeLN3bot2AtF6wiIbYc0mWnC6r4nC7UHpv4vCidI3byQO01m9RUjadvXoK3XvoShlnd0DAzGny404dZTrYrXHsUOd8fwdWLL0P33t0kx8xOzEgdq5p7nl7PhBC8+eZv2Lo9H9GZMaqOS05u7Si2PytgfScPQb9WeW8swf+0G5XUDyD1Q6nd1hd4kw5873CU2AVE5Uej9kgN6gvrseae1eh1WR8UZnAerlSswLguPx99wpNht9rRc6Tz5ppyw3gU7ilEu9WKqLhwOGwC7EdbEZcSh9mPXIQ3b3oXW4PKMD2tn4drEr0pqGsVQk8JzU4Bd5qk0MgK9fQzfUiwDwex8iQnBLMCLV0nPm7A0+1t/pWnxrd0+RqYMcAj3oEdo1h5oG5hAFyfxUqIu6vTeIDnocvOxx6Ow/ARg7Cj8oRre2/IuVOJkTqG04ncb0VsBJzBc65CrCRIXTPszL+Uy9zZ7jblDXrc7HGIXSakFI78uuPoAfWz+qzlQw52P+L2cgK9nDuAeLydIQRzPAeBCK7+1byYxeOT2kZ8rGeT+5FcG+oWx7pQ+dJvoDhbFA45ZYJ1yxK32b27AA8+8DkA4MXvHkVqnx6udW2t7di6ahc+X/IjTpQ5UHLwOMzBQag8ViM7BrXnQu6alXNB7Khy8drW1S63Zequpda9Ufy87YwYDn8QK0FqLK9q6Me1YF1JC+6+9U2U6ZphvDnNZcmgSL2Hjq7OQ/6qXFzzr8vRNSMBgLslg6LkciplYZG6nw8QCzKs9bjv3k+xZV8Bht4/Ejva5IV8Ne9MceyrL+/Zmtwa/LXFmZSmJdPsl+LwP2vZCKRAIyc4qYHX87A328BFGWEMcWrVebZ6t/5OxSC4WwP+vWst4pJjUXLI6RIVER+B4RcNRUxCFOpONCJpQA9c9tjF0Bt1WDJ3Kdqb28GFGVzbZw5Lwfwrp0m6a0kpEVJQwZp1o3pt62rXjLZcHAY9Ljmk1kkto25fYqFWbL1gt0+c3IjMYSkuqwaraIiPq2XKeEmFxdXeaER7927Yu+sARiYleIzvVEzLqXPUkZgLfxUPqd9YCdYFS+yOJQgC4BAAvfvjQ8oaoUahl0MudufvgJSiJZ71EsNxcCnpamfdvQnial7CchaUM8H+gkKc1DUwtGc6lm1aBQA+nRO6rdiV4nQTiP2KFY05H/27w32eaQJ9rdFZYLGiQQjB4499DQC4ceEVbooGAASZTZg8ezRuWnI9EjLiUXygBB89/w1sbTbY7faAjpHCCtCBUDIoVNEA4JOiQceh9P1MQO919rik7n9/77HKTXtQVliBMVcP8VA06H4pDpsDe9/fhcK1R3Hd01e5FA1A+jdkl7FjlovJYv+zfPH5FuQdq8OYheMR2i3M4/3aEVcpX7fJ/d6ZXCf1vAzwgyJ93h/wP6xsBJqOKBxt58UhNjEKxjAT9BYDerQFQbA6PIQVqVnm9OGp+GtFliuH+IgLh6KlvgXEIWDfmoOoq6jH9h92utLjTrMnu7aXC1YD4CEgA/DwIZUS6CliVyklQZGeM7UCsZL1Sa6P7KwCTElLc7lZ+Utr6D5n5qrQfaesH3o9rHGxsJdXAlarR5yG+Nz449IUCEVFCTnFQhI7AI4DL1I2/HGX8tbWV3eqQNJR5UZqxlDqsxSBfuHT2X45q4bSGLwJ+oEdKwfCWDZ87dsf9yt/Udu3v2OQ+o2mpKWdUUtDIM6nL/7qrAJxgFhkg8vpcrbNiu+zkJdXgeY4Hc6bM0l2P6P69cac569EQnoXrP9uK9576ktUHatVeTS+oSYOw1fFGpBO7PB3hSpKbIKZQCpmNTVN2LevGGFRoTBFKNeGaKtrw7YXNwMnBNzy+g3okhbnNk4lxGMW3ztK91I/rgUbNhxB8NBIGINPpac8EzHGdYV1qM2pgTnWgsxLenm899XyP6lsdPaP5Wv/fJQJDTOj0XxONOKHJqBiVxkcO6QfdvOvnOZ2wWUl1qOlvhU7ftoFwJki9PInLoG92Y6C3YXoHhIJg16P4OFObfSXJb/il5t/ROL6dlfwNrUMDIzLcAV70/gHKiivy8/H3spcV8wEbdOL/ILEyY1InNzoWicl/Iu1cBqEzs4AU0GXdR8TKw9iUyD9o3Eh3iwy2VkF+PC9SmRnFbgUBtaqISXMi60bNJWtW1ujEXxoCEakdFcMDKdjUFLUWNjA944Eiysh5a6miF0ApyJeQw6lOI6zDaX4ITVIuU3Ql6eH8nEyZaeaDCtqrRF0H96yHp0t8DyHw0XHXC5EdKzzxs30yPqkxk/bn2NdtmmVqnOrtm9fx8Due2dOnsu6AzjPw5mwRJ2OfYotE3LKBV3O/tHlbJvjnAl9hmfgxzWvg+OUn1cj+/bCa98/hqmXj0V5cRXunPEkinP9K6Km9jzR1LZiOiJY+7qdP4pNZ8GOhbXMyGXXA6RdkJTOf3xNBa6YsxT7j9ei5You2FzlWdyYyhh1BSew+ekNSE7vgWueuRwhkf6lPQY847OkxkiX0ViNY8dq0Tetc57Vat9lhBDkrnBaNboM6OL1PlLif1LZOB34o4HyoQYMmDsI1rFRcGyohCPfsxK42DUpd28xMq/rg42fb8GRLc4bMKZ7NOa9cR0AoKm+GVFdItBU1oiQyGDwBh58z1AUDnT2RQhB4mEHBuUEy6aoZRWOgXEZLkFZKshb/GCgioyUsKYkwElZKNjzuXT5Go/1wCklSIzY1YqN3aCuVBSxAgLIx2G42tntcNQ1QBfmrEMiDgynigIdm1qlQWzNOBNpbz2wCYBEvMZ/M/7cz+JZOfaPwr5g0yK7o3+M9310RFnoqKKhJJgERGjhgbxaZxEt6kIkl0lGrHzIuSmIBWVvwqA/GabEffbjWvwWztUGC3e21UYqPbAvMTRnmkkXj8K/PrkXBqM6D3O9QY/5T83BguevBwDce8FTaKpvVr0/XxUyNfUzgM5PZHA2WkG8jUnJYqB07y546CuUBbWieLLJFQwuRVN5E7L+7y+MnT0K5915DvQGz2vIl/PGWpS9XSMOh4CFC5fDodejPsGq2NZf1L7Lao5Uo+pAJTiOQ48JSd43UOB/S2LA2Z+zf/UbG2BfcQzgOSDo1M8j5x6UOSwFURnRuPj+Wfjl/1bjrxU7QQhBTI9oPLziXgyZ2A/nXTcJx9cU47oXrsK5b82C8dJETBveB+PieyD6u1rkrDiCwqIS2YJ5raH7JAO36bjouqXL1yg+GDty7sXbihUK1joitnCIBXRxLQsp5YIul0NcF8OyYSv2H6/AznWbMHqYe8YvVlFhM2OxioSc8sEqRd7a+oNfWapUZqISI6dcSmXv8HV2rzNemB01WfsqmHMcAMGzLW0vZaXwhtR58UXwVtNfIOHBIy2im1dhXxxg6Q21tSl8cXVgYX9POkPf0bS6FKVjZZUpXyxe3jgTs92BrL/REYZNGYgFL84FADx46fM+bx/oeKFA3nPiMUkFMJ/uOi7sWALpLiWm6ngNDmXlQT8jQXGGfs2+I9jw8kYMmzkYtz94ZYd/R7kU5nK8+85abNxRgF53DIDO4IwnIYQgb2UOmso8J6BPB9F9YmCJ89+yA/wPKhtnO3ysCeCACf+ajOkT3IvksRBCUJNd7XJDakp04OqnL8eWFX/hh5d/hrXNCo7nsCs3H+dcNQETzhuOTx74EiEl+lNBV/vbUZpTjtDoENROjnCLnaBtxGlx91bmuglgUkI/K/iL18lZJChi1ym5In5S27FWA1aYZ+uGmBsHgAy/Q7aOhpLwzVomWGjshi02BhAIdvyyDhAEjB0xEC1Txrv+0z7EyoK3bFRqlvkLPd8+BZBbiVtwuNi1TQ4l4Z19wfjzspESjgLlqtURFyqluhdy1g4xHU3p6qtgLh4ndWFS07bD8EBmj1MpJel4WVciOUsHbS+OTVFqJ96GzjyyrlRqzhmrIChlR1KL3Pgor21dLZmylLU++KJ4iNspWXc6QwBlf1/285nAEhKEyOhw3Pv6zapra3REgWeRc61i8SdVrb9WKTn3S3+ugc5K2qDUJ3v/1Wzbh+j4CPAmz4BwimB1wPZ1MSZMGIx/LnYqnIFQ4KXGJz4fQ3umo6b8BP7z4QYkz06HKfxUPElzRTNyVhxB/qrTa1UMOhnTUn2wCr/O/xn1xfV+9/U/lfr2bLdqAIB+ZAxIow0bl27FjEXTZNv9/vNu2FccwzlvnQfgVCqz2/7vBqx46Wd88tCXuPaZKxAUEoRdufm4/sFLkd4/GW8+9gl6jkhDVuFWV32OhAndUXxSeJTLGiWu9j3/ymn48L1KsNW5WcWACrBi4Zz9zsZrqBV25YQ+tzTBodL7o7AWC1YxcVZTd27PKgRsCuDsLPe+6PaWdU4LhrVLHIaFW8BHRKiqsSFVNTyQyoTaQoY+WTgcAmBwZjWTCuj2llbP230oFdPgK2dDTIivwZr5dceRgHi3baX6lOtPvI5+lxIY1L48WcH+dLjPDO2Zjuw9BW7fAXVxLFLL1IybthELAzSFqL+CERV0+nEtqmbtfTm/NNCYCp5KgcdqkgKc6TgeVlkTW3ZONzzPw2Q2IKV3JsbMGCrbTu73UlLSvP3GbB0pObwFmbP7UfpdlZ5Pcgo6+/xg7xtf01SrpSN9sorG0YNFeOqZFRAuiIecqiG02mFbXoyY6DDc/sx1HYpPkEPp+dvW2o7n/vEWYgbHIbZfnNs6W7PTnUpvOb0i+7a6U4UEwxLDkWWt8vu8aJaNTsYfBUc3MQ7GJgG/ffIXrCuPIWZDAxwlza6MU0K7w+lqBWBDSZHbtpYwC65efBki48Px9dMrYLc6U/jtzMnDmJlD8cJXD8PabsO0i8egz/hMGEx6JE5IkqyPIFcng8Zu3HBznOR6tXhTNNg+6QNR7Sy8XDC1lOAtJeS3TBmPwQ8vcH2WG5tHHQy9HnuOVYDYbLJjE49BbIkJZCC4nKKhVN/E2/klNgEwSqe9DVSdjLNF0WD76mwFJj2yB/Z1MGDTW2ClL9moOmIR8YehPdPB8TyIqLAhXScOlpYbl5Tlg36WO7dS5+PTuQvOeD0L8TLx+P85eoZL+AzUWM+mVMiBwteK4+YQM1qbWz2We7MYSd0zahX817au9iv7mpLFQCr2hiZfkOpHboxScRGs8qFGKfDH+qNmokCJA8SC+tomvHDHO3CMioQuNVSyndBgg+2TAsR3j8SSLx6XjNHwF3oM77z6Ne445wm8ft/7KN9WjI0/bceuPw/g8M48bPttN/514xsIjw5F32v6e/RRc9hZY6NojW8p7DsKb9TBcHkiDNcmo/2abh1SwP5nLBtn0qohLkDnDd6gg2N6HBxrK6BLCUZZWzMc39UDdoLQLiFoLGkAAOgvOZU3nAqIVNhLvj4TB97Yhc1fbcPEOeMAnLroZz98IQBg05pdcBCC+sI6xPbvgprsaoDnEJ0RDeCUsEL7FB8H+2BkrRjsccrFeojXsYitHwBcmbPUbE+Fd1Zgp1m3xNuwNTbofovXh6IFwO7n/w0w9TYs69wD0MVxG9wO53feasW+xmbw4WEgJvcgNPE2YuVCKb2tWiuFGqTOnRolTrA7BUFez6sugCkFq5SwM2z+WjWU6rkEkkDuR2yJyKs7hrAQ6ZehGrxVKGc5G4XJnTl5sFvtCCKe65ZtWuVyN5OyQlCUFA1WoOpsJUJsyVBr3fA2LpqNSryNGgXB23FLxYOcaYtHoDhALL4pG8FBaK53b++rhUzu3Endn9SKpgY117CUUsG2p88xdp9qnglSx6ekdIiVL1+vKal9qH120ftt9Wd/4ITZCsMIzzpYACDUW2H9tBCDx/bBI6/cCp73nIP3xcIi1Xbd5l3485NNEKbGoPpEIbZ8dQSkXQDaHTBDD32QHs3dDdCNMqEb7xTo7W026IOcHgR2qwC9UY/IhAhVYwgkunT3dxL77mtvbsdBlf38TygbZ4v7lFxFZSl0GWHQZYS5vuunx0OobEPTz850fPrJXaDvdWq9WJDXGXQYe+UorPr37xhz+UgYTAaPfYy6ZBh+WfIbdrzxF8yhQWhtbEOPiUmIzoj2sHRQAZAKieIHprfYCrWWD7l2A+MyZJUYithCkTi5UdKVi7ahxfmoIkFdwqhbFOAZJO50tdrnStFbvN5z/4JeD6LXQd/cDK62FkJTs1sbpTgMJYVCzioTCAVEHPQvxnXt2gVA53wYK1kxfHGlUiradKYJRGFBOeFfSqmSkLP9Rm6/HZ0t9AVfBQSe50GEU1ZBubH4koFGbkxK/a7Lz8e8cb5ZgsT90G18dafy1i8La7Hxt9ZCIBXPQBzj2YAl1IyqUmf6eaXzQ8//sk2rVAn/gHSle2+KhvheVrI6Kinc9Lr8J2a4XPC8KUfsWP19NrBuVoGIf1ALIQRrvtsMfnSU5Ky8YHPA9m0JEod2w6Ov3ibZRnzsahNSWNutOLAtBx+99j1qimvQZ0IvHOnv8BwDACsAKqFZG9ux+92dqDlcjZg+MeBbOVjCzLBb7Yif3F31sZ9taG5Upxl/FB9CCBx/1cD2RRG4YB0MN6VCPypGsf+BcRlIHZKCsNhQ7Fq1D3abZ0XUo7sL0XSiGV0zE9Da2IbwuDD0ubqfa3s1qBG+pCwaUgItbUetKFJFB5WUFimhW0mIdmWSklAoKKwLFRvkLUfLlPFomTYR1q4JsHZNgD0iAjvXbvToS2pfcii16YxUuOJz7HbNWgVwhsD6sooF7o4qHZ05uRDovtngcIkJNb/7HNozPWBZXXwVDtj6F74wtGc6wAM5x0udVepxajaUVczUXB++CjVipYJ1TZITMtQIoVTRUCpI5w2lwFw6hnnjZropGR1Nl+tvEO/fTdFg3aLYa+Zw6TEcPlqEHYdyZLdlz484TbPSNq9tXS3pHsfWlRGj9vcUB4+Lf0f2sy9ugnKKhlSshpw7YEeVDDVuWGLrVfaeo2huagGfHiLZ3vF7OSLCLHjp3w94KBrs9aB0D0rx5f/9hGsG3o1nb3sThu5BGPXEOBwZckrRkKv+7ShrwZqFaxAEI3ieQ9+hvTD33tnQCRx6jc9Ej3GJXvcdSDrivSCGIzQQQIGGhgaEh4ej71vnQ2f2nCE/2zlbLBssvsyQOkqaYfumGIZLekCXLH3TiKHWiM1fbUNVUTUOb8zGTW9cj7iUWFebH17+GWGxYZg8dzwIIZJavdSM2br8fFfg5JyP/u22TzqjLc46paQkyGWfEge7rsvPV3SdAk4J32zAOJsOl10vTpFLM28Vrw+VVAzYQHHW5Yp+P8Kd5zkwQYCpuATtXRMAoxGWdRvdXLyUYkgonV1bw5d4G6GmHSAEfMypTBln4v5SExsil8o5EPv2tT+loG7KibwaBMeHwhgin//dW39S+GpdkBNo6brOcMFi97ln40H0G52JvUcLPfap5BNPl/ka2L1s0yq3Z5pc33S5eH9S+5EqUCeFePtlm1a5BUgrWVY6yxXuv8V1Sg5qfVGK99mZk4djh48jqlskLGHSv50/58mbUE6hboPeYkDUjEFqVp59r6vtw1tbqf34+uwR4+1+9MbSxz/FiaYmfG/P9XjPCbXtIB8V4ffVD6M6vqvHtuLgdymkno17ftuPVf/+DQCQ2L8HjueUQh/kdCISbAIEuwCdToeo3tHoc01/bKk5DgAYG9cdmxb9gbGzR+H2h65y288jV7yA4FHR6DqiG84m2pvbsXTmEtTX1yMsLEyx7X+1G9XZqGRQfHGp4ix6p63NpDz1yfZJ/xvNRleQ+Ff/+g4LPrjN1V5wCNj27XYk9e+O1CHy7kuAu1AkdrGi7VhlhMUfRYPu01e3FXPjAJfSILVvsduRR4A33OM4xJYNsRWE7Yu6ZLl95nkYDmbDYbHAeOCI5HZixNmplGqG+IqUwuUTdgEQpQ48XfESLGr3dbY8A6Rcmjxn6DnA+9yPz/j7oj+dcR3sC90ZJC4taLCf5RSfT+cu8Gnf1BLAChRyvu5SM9JSgoi3GX6qVLAWkAPEglfHT8QB5hJQ60bGtu2oYPffjFjR+Oezm/Hao2Pd2tB1JrMR7S1WWMIsfrnSeEPJWvDW0Uy8EydTdEdFHyxS1yzgW5yIGnyd/ZdqK6WMie9/tX3brHb89dtutF/cBSh1jyslhMC+thyTzx8uqWiw+/fF+lO4r9ilaDz/9UNI758Ma7sNJbml0Bv0MAYZkV16DOlxCfj6zZXI+r+/MOHhsdAb9dj/8V4k9e7hUjTYCYvqkirEX5qsahxnK//VblRnQ/rLQMBHm6AfFwvbtyUQ6uUrSrKzvVTxqBTqwFsJ+k7qjcaaJlTkV7ra9xqXCQD444ctWPmtcv0LFio0UfcGf9OUUsuClJsQG6NBBWL6sFDrSiUnaMpZDmh7bsebADzdnqhVQu5YxNmsKILBAF3LqQcHu/9AFuhTg9T4faqzYSeS1cM7S6hXuocDdX/76m7k77GybkCBiE+R6sNbv2pnMcVC/emE4wAiCB6uUEoC3s6cPJffvC/uThSxYLN0+RrXdcFab8VIpWmlfdAxyW1HMySxMR0doSNxLP8LiM+v1L1ChdmhPdMxpG9PpMV0kQyIZv93BDk3rndGCR6/H7t/8X0hNxapvuk7myoaau+PjsRryPUpHqPU2Nnv3uI+2N+4KPsY6tpakFdaAcB94tG+oRKk1ornHupYmmX2nFSX1KCtqQ1jrhiJ29+7Ben9kwEARpMBaf2SkJTZDdOTgzFp9GB0T4vH2y9egcSELtjzzk7k/piN0u3HcfdT13scB+B87f7d+a9VNjpa/fd04Mv49CNjoMsMg+2LIkWFg/ZLFY+YPrHIP1CEY4ecprpl//wE7S3O7dsa21zbHP76EH77bYNsn+LiY+xN9trW1YrB294EWSkBmL4I1GRNkhLYxfU+vAn1raH7XMfAVhanKFUTF2/j0Zbn0S8zFYB03IZcf0ouVr64PkkdO93e15TFxE6AAMdsKCF1j7CWFKWCe0r3l9hFLxDjUoPivngOggrLBpu1S2qdEr4I3uJlrNDVWYLszpw85JaWKQooUjOobIyKWIh5betqxUJx4v525uTh7Tvne8RvsGNkYQWDZZtWue1vYFyG6zO7nT+KhZo4FLXKGcv/glJCLRpy7lMsdL0l1Iy2lnbZdt7Om5rzL7ag7a3MdcVdsEqNGuW/I8rP6bBiKrlnqsXbNqxFsSj7OLqkOGNb2fec7ddS8Psa8MZnjyJMxkXOV5rrWtBS34r0YamYOGccpowb4nV8BoMe7y+Zg6SYeLQXtOCZT+7D1MRgyWdDfGIsGs9Q9fBA8V+nbPwdlAyKrzOz+mnx4NNCYP2kAI5KzxzgtE/WwjEyoz9ikmJgaz+V4aXkYAkAIHVIMoaePxiDbhuK9FkZyF+Vh817d2HH0YOuAE0p6EODPhip8L90+Rqf3XLkLAUD4zIwJS3NzZJB3X7oMjYFrVTK2KXL13hYTlpD97ncrJTqWbRMGe+hGLRMGS/bXsody7XdpLE4eDjfq6KROSzFbUxKCpIv51nOmsHuV43SIQiC041K76ls+Ftl21fEsRoduddZ5TlQwdSnA18CpX1FSaHo7Jlz2j/Hwek2KrMfOaGbPR87c/JcFiSpa0RJaJFSrJZtWuVSGtjxsNmX5nz0b9czkNYpGtoz3WXFmJvZVVW9B3Y9tY7IKRGvbV2teB14qzbtq6vI3xX6G4ljFl57dKzsObKEBMHaboPd7p5cRY2yPeejf3tUA6fL6Htzb2Uu5o2b6dZuYFwGiteH4h9LlnqNnaLHIV4mbk+VGKnxi5M5+KOsekPtRIUvNXDUXK/FuaWoC3bP/mTffwLhxwn+/fNidE3p4rbOn+PdcSQHNcdPoOZ4Lfr3TIHeqHf1paa/8PBgfPLW9fjtm3tw8YA4WffL3inRCKn3Hst3NvNfpWz8XZQMf+E4DobpCdANiYLt00LYD8uXjmcFv+hukRAczhnTy5+4BGlDnbPs4XFh6HJxD+j0OoTEh8DRbgcB0FjaiKJ9JSjLq0BdRT2sbe6WFPoC9FbNWw62ujhtKydYsy5UtG+6PSsws9vTGW+lQOvi9c7c0VSBoPEi2VkFbnEXFKl4DW/HSttb/tgsuV4uJkMp9a04nkP8uVOxCoCel8xDfjrwx4Ihhdjtz1dFo1OVqrPUXN6ZM59iwYHjeAzKSFUUgKSEDbFLE+uKKf7N5OI95CwgrGLKKh4fZZdizkf/drlazb9yGnYsecWVoMMfWIHDm1D1z9EzFPcjnpSgwt6ZcI87WxBbBaXiFnbm5Lkqibc0tHms98Y/R8/A23fOd1v26dwFmH/lNMwbNxOfzl3gqpmyY8krbsJ44uRG7Fjyims7JYWRjfsRwz7j5Kqyq7GEyrk4dRTxNehLBjU1wnz2rnxUtDa5vgstdtjXVuC2xdcguksEAO+xVYIgoKG2CUU5x7Fn40Ecyy+D7WQMbG1FHY4dLkVyVDRiekQhMT1BdmJE7flSmog4Xlspu06Mw+ZUspQy051u/rYB4v/tioUShjGx4OOCYPvpOEhpK/RTumBqerrHC9UVJG4xwXFyqtDaagXHe85M8wYdiACEJoQCCUCPiG5orneaBk+U1UGn16HIWg5jqAnGYKOrqBtbLI9VBMSw65Vg63jQvgFPoV7cl1QWKjNOFfcTr2frbIgRL2MDvwEq3De6faf9K1ov7HZYNmxVPH4pqKITiJoacsqRXD0SN+xEMe2tOOkB+z1Q96s3typvKD141cQe/bfEgUmhJHx6C9amsH7V/uxzaM90WBqAXbl5CLIESSocarLx0DFQoZ8KW2wqWjUKi9Q4aRtWMRFX8aaCJB2jXFE5Kuyw4xIjdvnzRXhgBV5flQt2vOw4A5Xe1pdg344gPre+nL8gSxBam1sRFqUuCyRF7rjE15dUggGx8pOdVYDX4BnMzW4rtT+ppAfs/n2xXAbKqnm6fvO8/YU4drQcLSNOJTNx/FWNoSP7YOgkzwrdgPsxtTS1oKr0BBpqm6DX6xARE4rkPj1Qeawah3bkQm/U40hRCWJ6RKHRLGD8wAEefUk9s/whq0WH39cexND7R6lqn7cyGzkrsvHIj/f5vc/O4G+pbPy3KBq+ZKSiCDYHOD0PXXoouLkpsH1bAlttO9ZcLIA3uGcJoufJaDbC1uS0TjR3d0gKVHqLAbaWU65WeqMe4bFhCI8Nw+7ybPQOSUJJQRU27c0FsTpQnFeBpCE9kJ99DIIeAM8jO6sA86+c5pailhWQ2diJ1tB9IutGo+TvKiUEs99ZRUcOp9uUe70NtdYAl3WCUTh6kV882on7Y7cDz0MwGsC3ufv/umeF8pyFpEoGq/xIjVtcEFApra7cuVIVu2GTDg6Xg7221aSq9Qa7vVR/apQOKqzJCRzeFI7OfPbwPFRbNgI5W8UGXcopCqxQo2RdUKOwKK3bmZOH4pJjmD51BLLLSz3GKDVuttgoFbDYQF8xHRGWWWGJdcFTml0e2jPdayrcezf+6VJQpPqi160zpfgalxKhVrHriKIhte50KBxqshB5E17ZsfozG28JNXtUEg8kUsqt1PFkZxUAo92PV04xlrv2fW3vbUxqEF8rUspRR2JQpH7/nTl52PDBH6iMcoDojcgclgKh3QFuXwMu/WCeqj4qimvgEASk9esBS8ip8UdEh0EQBLQ0taHBYIPRYpTtQ2pc/pzHgpWbER4fjvFDhnqdDCMCQfGfRQAAcwPQqpyNVjXt9W1o2nwCOVtz0d7UjhGXDIVlQpRPffzt3Kj+WxQNf7G+kY32t3IhNFjBR5lguD4FsBPYPiuE0GyT3KbGdsrdilUoyneVIWvJXyjeUIiQriGwNVux/uE1aKludvML53ke2S0lCOkSgmkT+oNLCkbS6CQU7D8GfbOA9Ng4GOod0LUIWHMw2+03kquWrSTsiyuTe7OGsNYM8TI52DiP1tB9boqfODUuxbJuoytTlRga40GVA6qYtIbuAwQBnMOBoC3bFcckHp9cULqUq5UvVg8pNzRVyMRrUKjAdzripmj/HbU0sA/vQGWJOh0Eaqy+vBDVBNZ6yzzjbfuhPdPRO6k7iCCdjUdq2bxxM7HnhnmYN26m12DwjgrJckKSOK6CjoEKeHL7FQeX/2PJUslzSJ+Jb985H/OvnAbAezyG1DjVIh5vRzNlAdIBz75ux26vRnjriKKxMycPuRVlikHinc2yTauwY8krbgkLvOHr792ZlgYakO/r+d9+KBtJoVEIt+qB0lbsXXMAxX/m4/f/rMNfH21F/m9HcHhTNmJhwb6th5Gz56grzrR2Txn2bc1GQ9KpuXRHVi26psVj9qB4xf1WHq9Bzt6jaDjRhLDIEDdFg8LzPELCLC5FA1B3DsVt1DyL2tttePvttRh2/mCvbQGgdPtxdI0Mw+03jce69+Sfg2pJ1SWg9OtCbFi4HkJdO15YfBlio4KRm1fkc19nrWVD7IIRiJnRvzuEEEAA+C5BsH5eBOO1yeBDDdBfkQj7qjJYPzgKw8Xdoese7LZd15Hd0a93T6z8968Q7AI2LvoDURlRKNpUBNgIKvdWwBBsxISnJmPToj/RUtUCS0ywmzDDCnU8zwMhPOwhPAAeXI9gOI5zsNRlgFQ04vfyvTA0CHAYAMEAQO+p07LWDhovMTAuA69tXa1q1laNoEyVmuysfR4KCauMsOmCxdYXqTGLx2GGp+JEFQVz4wBwdiuITgfoPW83Oj61qFEovLURK3CqlTSbAAQpPzK8WRc6ck+z7TuiZHhzRelopiq/4TgQhcQMUkgV3VQav/i4vQVKK1k5OtqeHQOrSHCcs86GL9AX96dzFygqG4GEjpvGa7ApwaVmkaWEC7rMWV/DgnX5+YruK69tXY3i9aF47VFn6lJvQpw/gqSS5YK6g/lr3ZDzv+/I9p2J0WLEwb2FyBiUDL3E87uzUVuZXAqpwoDeCLSbk1LAudJ+Xpz9uqr+V7y40u17eHQoCCG48IFZOLD+JwBOb5CgfU148tWLJa9ZOg673Y6ywkpUCy2YOHqgT7+32CosZ3Hx9dy+//4fIMFGJPbvgZWvr8axI6UAIRh8/wgEhQd5tC/dfhzXzx4OnuNgOiYf06vEwLgMWNus2PjZFqz5bTVGTBmAH76/F6mpcfj22+040dyOkVcN97nfTrt75FyExK4QSusDlXXmbMabKxXr9iIcbQIsOhhm94D91zJYPy6A4aJu0HUPhvH8brDvqoFteTGEYVHQjYlxCWch8SGwxgMGsx4tVc1oPNaAprJGYEAEsPsEuFgTDjRVY1p0AngDj90nKqDLb3CNjx0LGX4HepFfPAK2EcSj2/kCgGAIVgccxUBwXTo4hwPtlnw4DDxM7b0hGASPgOji9aFYB3khVc7tR0nhoIoDW+1b3Dfd3vnyls9KwlpipIoEAtKpcel2BDiZYscdb9YIby5R4rZKsOdLStFQY0EidgJOpRuV1DUtdqvyB9Z64u35oQZW+Ba7ULHCe2crHQPjMlDRVAFzmAVhMaE+7S/QYxPPJIuXKblS+RKvId4HheMBgQh+Cz5UQKMuVnLuIx2BCnKAZxFBNcqVuC2rLEm1o/xz9AxgtPLYXtu62jV5w/5evpxLOUtGIF2oAgE9LjYuQyr+xdfrknXrMwQZ0NrUhtAI3+I2fEXJPVE8LrWobS+3bzVjYlF7fXjr79PdryN791H8+P7vKCorx5BBvRCSGomUgUnoERqFjZv3oLb0BPStBNY2K6ztduzddAj1NY24+unL8exJRSNzWApsf1SgV1IMwkYPUhyjXq9HcKgZtU1t2Hu00KvLKF0u534q3lbchzdrYWNjC977z3pkTsjExw98jmkTeuPeZ67Eoie+wjURyfiOlHts01Bcj1Gj0vH9l5sQYdG7xqU2KQohBIc35+CPjzYgoXssvvpyAXr1clYt31ZPsPDpbzB03hAYLAbFsUvRacoGFQrEAaPseros0L7dfze8zdZShcORVQvdwEhwPAf9jARwWbVO5WJkNPRjY6EfEg2uuwX2X8vhOJAP/eQ4rKk7DMuv1dCZdLC32sFxHEwRQWiva0NQcRvaAJhudt4EazYfAAQCPi5IUpjLHJaC7B1vYsqV09zWU6GZjpM36iBYeNgdzodzu5mHzgrwNht0bW0gAAS93jnTb1aewlQVuCxqT88pjR+hSNUCocI8vRHFWZ6oEE+VFvF42AB0sWsY+z0oaw/soaGS6wBPVzBvMSVqqorLBdX7WlsDOJn21iEAxsB6Xvpyv6tpp9SfWqVB3OZ0WDf2VuYiHmFO66UPSB1TZ49XrIQo+Sr7M/POczyIQHxyvZIaX6ArJLN0RIFhlYHO4J+jZ6h2sfIFb8KR0m/RmYiVC7lgfF9gx20IMqKlsbXTlY1AuzN5u0Z9mX1Xq6yKlT1fngUsQWYTBo7pjYFjenuMI7lndyT36u62vB/XAkII7nvmZ2T9uAsIdy53FDRBv68Rz399E1okJvzEhMeGATyHethUP7t8jV1Ti8lkxIzrJqN8/1Hcc/t0zLluPLj6OnSND8OuslZA5BHWWNoIe5sdmZldMXp4Ch577hcUzn0F5y24AG3hvOt5Y2u3wW61o6akFkFhQQiPdb538nbkY+s329FW14oH7pqBSy4Z5so8SQjBW49+griesegyKMGv4+lUu6C32U1xtWu2zf+awgHIWzlclo3jLTBOdV5hHMdBPzwaXJIFtq+KwQXpoB8WDV2cGfycZDgO1cO+rgJotMMxJBLgBSQMScB+cyPItT3AfX8MbaXOWh32BiuEDVVAsx0k2oCZ6aduFPF4qL8wwMyQh7qP02OGXM/D2DoA9hAAggAIAqzDB8GycRvCylNAUI/89QUYHZkAQ7B7LmklwVgpQ9XS5Wtc7ln0OKRm7k8J6k4FamnWGsm0suJsVuw+i9e7KybsNubGAeAdDgiidLHe4lbkjlcc3K7GrYpVMJSyUYnbumEHwHFnLO0tpaPuU2czOSdKoG8zwKJy5pgNUPbn2Hyd7ZXrQw6/++Y5EEGd0qU0ax+Id4g3149lm1a5WVLEwpXUuNjMVdQF69O5CwImmO+tzHWzkLBWGKmZWvYYAHlhXWnGWs7y1dkM7ZmOAwRurl1sRfaOxGxQTBYjdh7MwXk9YgMy5rMJX1ybfFE45PZDrw2pTGdqYC1O9DPt6yCC0S21C8qLqwA433XWr4pw+a0z0JKarKr/iOgwlB6twMCRGdDr9T5bw6TcqKTuOTXKsNGox7P3TpdcXlVWi4EDegE49V6rO3oCvQemwmjU45zJvTF62mB89NEGvLrgbQy8YAj6T+6DzxZ+hfpKp9dKkNkE4nCANxlgb7chLDIEM66dhPuvG4GgIHc57OWXViLvcAmGPjRS9fkQEzBlwxf3KDXf/1eRUziEJpsz9WiU+0WgizMDF3WH7ZsSkNp26EbFgA8zQt83AnxqiHNZN2cMRzUADgAXZoRpbipsa8og5DeB5DdB2F8HhBsw4NJ+AE7lZ6azcGLYtLSsQE/dl4BTArWbUM3zAM/DuPsAGhOOOpUPO5DRuzusDe1oLm9CUV0x4kMiMCoiAVsqj4E36jz2r3TexGl22fHLKUT0WOUQx36wsAK/h9uTIEBntcIWHOzWXknRECsT9LuvAd1K1dflzoOscmcXUJxbjpTkwM6+ia164muJxVudDV8UEan4Bm+cqVgONiaD/cx+l1M4lKqNy2V3Ei/zF3+FTp7jFC08YqFHzrIiNWsrdqtScvtQcsNSY9GRSmsqtgr9c/QMtza0SKq4RoMa5I5bnKpXfDzeZsC9CYNy7iOnA9e+ZFypOjIeeh6b4lvw+1r1yT3+Dqg9J2KB2V/E9+sBL3MJ3tyx2P7YdhznnKhwTdDWtKPXUPWB2QajHuYQExpqmhDVJcLvZ5g310UphV5sFZJTSObfOA433vMlLk8OQ7fMrq5ne7FQiMa6Zrzwwo8oKqxGULc4PH3vdEyc0BuXXfY6IuLDEW4y4PftT6G11Qaz2QCAoDz3GIJio9GlSzhmX/IqXq+uwcOPXOTaX0VFPT75ZBNu+vdcFPFVPp8Lit/TlL4oB+LYC02x8B1S3Q4uzCBZI0PXIxjGuSmIEUywvpMH69dFcOQ3ggvSuRQNKQzTEmC8NR2k3gqE6GAJMqLbKKd5kgozUm4IrGAoFvRYgU8pTatLGOd5wMiDjzQhPDkSMX3i0CUtDkdbjsPWZAUpbYWjsAlCWSuEE1YIbXa36ubi/dNUumzguRohlK00zGZ7ErtReUNceE/f3AyHweAKDpeyRLCKUeawFI+K6EpF/sRInXOl4HjW4qF0fPk7i0B03s3QapF6DoifE+LfjbWEsnSkloe3AGpx287KWDUwLgPggF5RSbKVzcWf1Sg/ausyBFrR6EgfHMdBOKls+BNwLoe4wrgYdlZy2aZVeG3raq+CuNJ6qecOqxDQP3YsU9LS/FI01DBv3EzV7l8HiMX1543OzGakdl87c/I8xkq/+xPnwG5jCQlCalwXj0rif1eoEKzmeeZPJqmOombWX25cbS1WGIOc8QRCuwNcgx3JmV1l9yOVTCI0IhSN9c2q9qeE0oSI3HikPlO4+joAwKDx/fHAfefhxxd/xvYfdqKptgkAkDC8G5q4NuwsrkFZLLBl61489urviI5xuv/9+PIvsCRGIzTUjLi4MISGmhEaakHGkJ7o0SMaP/6wE3l5FbBYTNhUfepaDw42wWwxoktQWIdcP31SNiakpLgJCXJpLsVtNAKEgqzHR5lQPyMaxn9kgOsSBNuqUrS/kwf7tmoIrfIPSfuflRAONgCtDthbbKjcdyroaF1+vuRsP/196YXHuiiJZ8rFgjNdJsfAuAwEWYKwraEcO+010CWHIK+8ArDoAKsDpLIdpKgZQmkLRoR0gbWxHYIguK6z7KwCWfc8KSGbWl6kBAOxxUIpgxPbN2vNEXQ66KxW8G1trnVKqLVe+KKAeOtXTXA47wCIdwOTauTcJuUKU4rbsc8etcUDA+0jH6j+aD+9YpI7pX+1sAJwoAVIX3zouZNuVP24FtVxG0rfKVRBW7ZplUvAkqvW7c2V11tsglK8iJJF5O9OZx+LWoFPrHh0JG0srSTe2uR7JfGzkaE907Fs0yrXM5M+Z7xNOJyu69RXSxpLc0MLLKFmAIBwpAHoEgRLqHx/tLaNWx+NLTAHe2Z6UoPUszNQ542ER4CERwAArrlmLObfPAlVWUex8nWnjGYwGzDy/rHoflUqUqanIfOSXtiyeidaW22YP9/p/n54YzY2VHiWSPj99/147LGvEBoZgqVL1+DOGU/iq+3HAQAhIUG4+uoxWPLgB6gsPAOWDTnW5ecHvGrw/xpSbj9cXBBIow1CtXLO72mDesEwoQtMt/eEflIcwssdcCzNg/XzQrT/Jw/2PbWutkJtOxxbq4EGG2DUwSo4ULG3wm0cUr8h68rBBonTeAKp4OfMYSlInNzo+iwW/BXd6vQ8+HAj+C5m6BKDwfUIBkL1IHYBG3ZlgxQ140ReDYSqNmT07IY1h3OROSzFQzhlYV29aHA7O1b23NM2YguBnIDOCvyCxQLBYEC75YjbOlYB89afUv9SiM+vkjuVmnob2VkF4BwEKYN7qBqfHFIWCTnrhVR7peeJ2mcNFTjFVgF/LBbeCgSqHY8bPgaIy/bjZTlLoHzs5dJcsj70auB4Dhnk1DbiPzFyL3fxePZW5romT2imJrnj7mgA96dzF3gVMqRmVaX2+Y8lS/GPJUsBOJUYqQmgjgg0gZy9Pt2z4L7s25sSrbQuyBKElsZWv8cWaPxN78z+1uw17u0ZcLoVYm8uVOxvyY77yK58mOKd3hzC4Xpcd915XvfBHltdTQNam9oQ1SVcchtv15i39b4+C5WYe8NEvP/+ragvqUH+zqMez46ontHQmw249LI38PvOo+h7nVMu+/jFb/FbQRP2C2ZsrhHw48Ea3LngQwBA0gWpmPLqOWhtbMOyZ75ynaM+vbuhprwO61Zu9nu8PikbGwoKJAUEFk3B6Bx4ix66vhGwb1PWLOlvMzUjHfpe4Wi+uAvGPj4RfO8w9D63J/BnNYQmG4QWOxxHG09t6CCIToxEXP8uHn1JfRdfB4mTGyUDq+UQu/Ssy8/3qBdAEbv38HoefKgRO9qqwHcPBpcUjJ2t1RiVkuQMcj/e7HK9aqlqhtBix5pcdYIkvX6lAqrFgrlSZXMWThAgGDyVBF8DxH1FTTC4t7Z0HSdAsl6KGpRS1VLo9cS643W0YJ8/+KNwdMStit2WU5EtpSP9S6GUUcVXlPyT2f/eyOQ7PoPcj2vB3Myurpc6VQyptUHsUkX/qBAnrndB+5QTEjqSopcGiUvBjpMqGR3JNqUkpHZU6fB2DthCsZ2Nr4Kzt7FbQs1obT5zxf3E+JMNbWdOHv6xZKlHSu+9lbkuZVxqG1+v7UAqrkrujhQ6vhNV9cjdV4h1fDGEZjv44+0Yf+EI1ftraWpBSW4ZemQkQK/Xo6yoCoez8hBpMyIlPAaD01PPOitkaKgZd901A+ve/QONNU1uCgfHcRjxxFhMfuMc9Ly1H5ImJmPKK+fgaFUp7r3oKVze9w7cPO5B/OumNxDaIwxp52Wgx7gk1ObUAADKj1fj5bvexUVXv4lHH/8aaedlIOPiTLf9Nx5rUD1Wn6UHNcqEpnB0DrrRMRAONUBw+FbxKiQ+BOdcNhzJk1OQMKwrbEvzYP2/bDh+rwA/7GTJeauAmsPVMEWYXNt586kH3AVXcVVu4JTFw5fK0vSGUXsd8TyPaf0zEdIlBHyCBbqUUEwe2xdjeqdiS34hBptiMNAaDuFYM4SqNggNVqT3T3SNTwmlWX8lqwCrWBCeh/lET7f9dbaiIUZOmZCK1ZA6psT0Lh5pb+WOX40FwxtS10sgq4WfLYhno3ys6QfAu8Ijta4zXKXE/bNQRUMpcJcK8xzPQxCIm3KiRmFREnJocbOhPdNdExvUSiA+f1LnRap2g1wbX8YFeNbpkIPeazS+TO43p0qTlGLBZs4Sj+21ratVXxP+xPfQ32DeuJkeLntqlV5v69UqTL5e+5ZQ83+FG9Xbd86XndSTs+RJXStnI798vA4RvaLAhxog7K9Dt14JiIwJ82jX1mLFiap61FbUwdpmBQA01DYh/0AJ4pNiEREdhobaJlQUV6JbajxCIoJRVVqLwzvzUVVW6xYzysKeJ7lzpXbCxZcMXVdeOQoTRqdj60dbAChbs4PCgzDolqGY+vq5mPbquZjx9vmY8NJUjH9yEjJn9wbHc0gY2hUz/3MBht03CtWmZuh7B2P00xORObs39MZTOaWIQJD99WHV4/QpG9WEFOniaBqnBz7CCOg5oN4GRJlk27FZmDwEvbEhmHrJdPy5Jwe2L4qQmZaAw1m1gIEDbAS12TWITI1y6491R2Kz3tDMU9R9SsrVSCmwmk2jy9IRoZAe84bjRZiSloZp0X0BwGnZiDIBrQ4U7iiGoUWASQ/Yjbuhb+YgGIA12bmYlpnhGj8bbC6F2noVDrMZhsZGwH7qIZU4mVqVvMdL+Ioai4UvKXCFk+PmRZYNqWKJ4tTW/igIcrV5vD136LWp5G8v94I9GxQRjgcA37UNpdS3SgKEv3UsvCGXUUUccDw3s6srKw3bbkVBJS5Nd6b4/ii79FTHEmkv6XfAKUB6szz041qw54Z5OEAsmFKZ5lI8xMc4JS3N1de9G//Eq+MnqjpeqfFJnT+pY5CK8xAn3MjOOjWJ4a2GiK+z3976k4qNkXJhk0r16asCIOUiwyokavpTe+2qaWMJCYK13Qa73X5GKol3FFbxHBiXIRmrQGM52O/+ZKMSp6f15xlC+6GCu7ft29usWPPNFvS5dSDCe4Tjz7fy8OhL10m2zT9QAIPJAIdNQGtLKILMRhw/Wo7EzG4ICbfgWH4ZTlQ1YGbfGERH8zhAohHXLRoNtU0oL6lEZUkVYrvFIK5btORxe0ONC5VPMW4chwV3noPzZr6IiDcI+lw3Fv2iUlFy8BgK9hSB5znUVzaiobQedbUNGHnJcBhHhUJnkA/C5DgOYd3DENbdXVmbN24mlm1aBUII9n+yF3q7enuFX25UGp2PnLDEhRpA6jwDfChiwVVKkDWGmjB5RG/ALiC79GSMho2Aiw9Czrp8jxz3bPCulIsTzaBE96dGeKaCqjef944otqxrDs/z4C168NEm2EI5OAwc2iN4OEwcQAB9MwEpaUZNdjWEilboWgQILXZkb1eu7q5qrDwPh16P4Bp364ZUH52Jt1obdJ2HtcMqADr5R4VYoZXKTOYPrLKsNqMY3e5sQipOhOJ+P/kfQifVty8xB2rcFcTrlGbvWEuEXFYjOctFv9RkZAunAjSlhB7xf7UCKGthmTduJj6duwBzM7ti2aZVbtuzygX72Vv9ieF33ufm4jTno39LuklJCSZiYZ+mwRXHvLHr5ZRMb4qGlJLgq2ApJ1yx/bDCojflQ/xbst/Fv6/ayQGl61TNmCg8z8NoOruDxMXXMGVnjrOCNOuqLFbi6PlkrU5izoQLkdp9rv9uK0KigxGdEY3iP4oQFReJCRN6ebRraWqBIAA9B6YiPikWZQUVKC2sRGq/JASZg5C7pxDWNhsyB6UgOjrU7d4OiwpBz4GpSOzZDVWltairafAr9sIXq4VaunaNwnff3QuHQ8AnD3+JN69birVvr0dXAsQLBJP698Cj981ETJgZR7eqfy9bm62oPlSFoj8KULKp2KWM1v9Wgabcenz87k2q+/LZsmEKNmkB4GcQ0u4AzPJCCZ2JV8qcBAB6kx4INYAUtwCRBuCEDTDyIOVtaG9sR1C4ZzYGb3UP2BoT86+chg/fq4S5cQCmpMV5BGvTbcVBtvQ7W99DqhK9XMFIqYBwtv4GAGQMSAKpbIcuMdhtOZcUjNBuYUBTFVIzuwK17QiqcoDoBDhMPAQdAD0g6OFM2Qv5InhiNynBZIKhuRlob4dgMqmynEjha3up7cVIpcRlyd9VBF07QWqi8oNfXKHdn0rlgG/WjI7CXn+Btm6IhX016WmJH25UcvvzBV9T33aG4EFfwjwHOE66iqoJ/mbXsfn7vQkC7HqqUBwgFlcRvLkyKTOl+qFjp8ku2CBcOl5fzxlrOWbTebNIWWXE38VF+6RgxyeXaSsQs9xy/aq59thl4mtdznokt06qndw4KeaQoNNSSVzNWORQypImVmbZtr4qp2rx16oh14/UtScIAn75ZD0uv/085KEGResKcNe/5uIgPNP+n6hqRESMswpxeHQoHIKA/MoKxCREobaiFlFxEUhIdsatHiBGj+0BIDQiBFFxEairagBioiTbnAlS0+LwzLNX4P1fDuGysSlITY1zW//KKz+j5Fgtxj0z2W25rcUGa7MVlhiLK26wcl85itYVoia7GuGx4eiVFIOtW3NhqCCoKq7BscPH8d13/0RsrKebmhw+KRsbCgowvV8vTck4QxCBAM12cBHSNwFFqq5CdlaBy22ppaYF7fVtQL0NpN4GrocZ5IQNpLQVva/sK6loiKHpbtnK2WISJzeieH0oli5fI+syJX5pUKFPqVCbmvoLcq442VkFQJsAzuSpsOXuKnLGfwzt7drenuNsR3TO9K98uwDOARAdgaDnIOgAocUOBPFu+2SL8dHz0zZuHgzVNTDsOwgzBgBwulJ5FAJUQFywUA1iIUX8XSpzFbuMdwDJA7t7VSDUVCo/GwmkkiEn8Cvtg27D84Dd4V82qkBwJoMfWaHkYFExMrt1k3Q1YgXiflwL+mV2dblrHSAWtzZyM4hKxbOoMDM3sysGfbjMlbFHSfFg9zMlLc1NcKPbifcp3p8UbOFUwPOeUvseVhIkqeuWWJCTc4eS+s4i14d4ndw27O/n7feXaiM3TrFiI+fmJraosFhCzac1I5Xccckds9TvLD7ejgr/cttLFeEL9PNE7vr5/t1fYXXYkRteDQ4c2uvacP6AOFRItG080YiuyU4XTZ7nMWRCP1SXnYDdZkO3tARERKsTniNjw5GzJx/7HF3pvKMsauK9AkV0dCgevM6zyrcgCPjllz2w2xz486E1iEuNQ+9xmTheV4nCX4/CwPOwCQK69+oKq0VA5Z5yXDF/Fm75d3/EJ0Sgvr4ZI0c8gViB4NJrxyIszIzevbuhoUG9Zcdny4acEKcReMQz+KTRBug4cEG+FzygL6qjv+bhyNeH3NZxYUaY43h0GdgFKdPdf1OxT7uUPzwrLItn9KUEaNqHUrpOsUtMR1xy2DFnDkuBUNEKmNSdQ95BYA/mIbiCo3lAEMDbAc5+sv5EdTvgEDAwsQeONggg1PohCGCfREHbsgC7HbzNBgGnhHM1SgaLP5YNX6uJs58zenUF9LysVSTQCsaZtJz6a+Hw16rgtl0nZKNSIlCzjoHAbdac4yAIRDFQWw42DoQen1I1YnFMCXUpobEi9Fo8IOpHLMCxbihS/dL/4vHLzdaKr0F/458o7HippWNnjnsFc3Ysaq0CbP8sat3avPXnLU4k0NevnLve0J7pMAebUFN2okP9e6uMTVGrRKkhkOdIrq/TIUhLjaGipBrfvrMac569EuV8PSr3lkMXpEdEhMVD2WhrscLaZkNIxKmxGox6JCTFAjh5zlUqG0EWI0xmE+qqGhDVJUKxLb3v5X57pWrhvsDV17nqcIjJySnHyy9fC9IrHRn2BqxdcxBfrtyHlppGfPHZHejbtzuOH6/Fks93oLmoDP/59ho3y0h4eDB2ZD2N0JM1TCiHiFm8K1n8ykalVQE/fbDnmdTbgBCDZIpMqd+F9b0nhODQl/tx9NdTL6y4QfHODEPNdlhiLeh1RV+PfqUEL7Zat1y163X5+ZIBhwPjMtzGKNU/dSsR+/4rFY9kxybVzk1paxeAIOUYBMA5G8A5TioODJkj0iAYeTgsPOyhvLP2R1Iwdtuq4dADcADB1WkwNDRAX18PQ70D+mYBvNWZ+QI87yryB3RMSFe7rVQ7tZXFYRMAg3/xBGoVI7lCoJ0RC+INXxUHNVXHVSME1rLBCpJKriZqCMQL0RtDe6ZjQFqKR9wYXSeFOHc9/a80MywVL0KZN24m9lbm4tO5C/Dp3AWu31eqACBbaVzOgiCleHg7LvE1vnT5Grd7ib1HfA2+puOk16WabEO+Kg6BUDTUrPclvsTXgHVWiQScblQ0SFxpTFL4eu901iTA6Zpc6GjmKjbeR4nta/cisW93lIfWw2614+AXB3DLw1ciWx/mcc4bTjQiNCIE/MkJQH/GyNb7GdXFiLpqdalf/cli1xFotXFKXV0zevaMxxCzHaGhFlx8yXB8+f5NeOP7x9GvXw9wHIfu3aPxwoMz8O83b3QpGmy8nVjRAIA+nHpLX8CL+ml0Ijxki34pBdJOTExG2C81KFxTAGtjO8ISw5E2KwPVh6oQFh8KGHmcCCOyef6VrBoUcWBxdlYB9lbmupaJx0Vf4HKBrawrla8+/ErKiWAXAIfgSuMqVs7Y7xMSkpDYrysyR6S5HZ9UDMy0jAzwQXpkTEiDPZRHY9cC2MLCYA8OdgWh2/QHYWhuhi0jFfrmZugbBeRuyEfulnxAELwqDlLpctUK894yVImLGrJZqYidAAZO1vKhtE92X2rTZrNKhVR18M6c6GBz0Pu6TUf2t7cyF0dqi3CkpsjvvuTwxWddidM1e8lWEKf44oogbiP+ztbfkOuPVRyUlBYaZC5XK0McHC9ORysOgqbQeA2KOGkDfdbTdLViAdybsDb8zvtcx+jNLUoqKJ/9U6oTIoWc4usLUuPyZf/etmMLQFL0er1skLi342GvATXCZUeF9c6io8kD1KLWVW//1iNIGpiIgXEZsBTpEB0RjjsvGwjA895uqGlEWNSpeBs5Fz0l2IQXFVFxaKxrllQ+5bYF5JNMdPT5Sq0a3336BxY8tgK1tU0AgMVfb0NzUxuCJaqiK40l0M97Tdn4G8GZ9UCbughSOlM8OSUV21/diqp9FQjrEYaR94/BsLtHIv/nXAhWBxrKGkDymjDx0iGyfVFhT8pSIX4JTklLc1Mw/jl6Bv45eoabgOhNkFMS+Ly52IgtPB6z5O0COAPvmt1gj0G8jb3VhhGpSa52SgI7q0y51vE8oNfDZBsEewgPa7gOtvBwcMfLYQ0NhamtFywNGdA3E5hqBTiKmp1WkCYBfJvgTJUryund0focSqlw2cQCrnaCADgIcvcUutqKiwL64tblTWGQUpZPtxXVV+VBXI2c/lfbDxsgHiiUBDpffPDVoFTd2x96821IxakZM6V+pRQLufZSY1Ryb2CRC0inSD0bzQse91hG3Ze8zdoOjMvA23fOBwBXnSLxc5TdrziDk9LYl21ahR1LXlFsI4dUO28pc6X6OF3CtJQbFuC/wvNrbpbPcRv+3BdKCu6Zwh+LUmficAg4sisfqUOTAQC52/IwfHJ/ycBwu92O5sZWhEWFSvblz7VgDDKifxiH+mpn7KW/mamUlBB/qGkR8Ptv+zFx4lO4ff4yfPHY1/hyS45PY5Fa11E0ZeNvgOsFE6wD2h0gMtYNKUHuyLeHcCK3Fl0Gx2Ps4xMRnRmDzVXHwOk46Ew6IMEMIhDozfLhO3R22VsNA3GhP8C/WV+p7EC+WDekLDyubdocrngNpaxW2VkFsLXasb3yVJ5/8Yw/a8WRErjFLmZ0GXQ6wGiEEBQER3AwdPrBaI/iwSUEwWHikNK/G3TtBKZGAaZaAaYTdhjqHbDxe9Bu2APziT6qq78pxWrQYxJnunHbRoDThYrJvqV2P1KKjdz1czYoGSxKdSukskx1tJI4AIBzGi797YcKUGqySMllHvIV1kIQqJkwjuNczzhfMkpR1AZgi1/04j8Wby5cYuvCAWJxKQss3oQ08X6mpKW5kmvsrcz1cKdSC2sFWLp8jaoxnQ21Z9Tij/DrLTifPn9YS4g+SI8vNq31SWGSUoD9FSzPhBsUPVZ/Y2UCoZiwzzX6P2fPUZiDTYjuFgUiEBTsLsTIcwa7tmHPcUNNE4JDzTAY5eUcf4iNDcWJau8pcMUunoB3a5eUhUHNc/bmWyZj3PhMGKODUNPulBNSBidL9q22z0AEuQf2zGucFiYlp0CndwrMYp92VkCzt9tRcDJGo/pgFWrzahDdMwZT09OxuvdxCDYBfJwJIUSPoT16K75caL//HD3D60to/pXTPMbi68wtO9srp3SwSKW9Zd1wXNtZHUCw8mVPX+bb84vAxZlcfYize6lFnLFLKpDe3DwIvLERGeOc40ydmu7chyAAdoAXAHN9T1iDsiFgH4JqAaITIPAcCM2KxcN5R59UDHwt6MceGz0+3g5wes5jvVQ/3rJVqYm5OJtjwdRcwx1Jods3NhV7mo4A8M/a4WtQr1KaTLV9iF8+gXgp5XAW1Dja0U9i3c6cPFdxP/F+pYK3WSVg2clzKg7spsvEL3w1rhVScRxy331xQVm2aZWbRZm69IityHsrcz32s1d0nDSVL92/2KohRSAUDbUVquW29ef69xaXpFZgplXdd+bkubm+6c0GdEOMz0I/e518lF16ViRmoOdLnOyAXa+0ndp9dASle2rn+v0YMzwVHMfh4J+HYDAbkdbvlCcCe87raxoRFi1t1aDj9Oc3iY4ORezRfFitkTDKKDLeFA052JTVvlQe78e1oN7OIWlSMux6Ht1qEvDoBUMl9y3Xb3ubFaYgz6ynHbG+aMrG3wD60iG1ViBE71I0xHgIahxgiQtGS2UzBIFAd/JmWJefD9JsByloBqlqQ3h/5XzyYuFQXLcCgIc/sVK2KRY5lylfXjRsMLkcrnPYLoCLlj5/bOB79vZ8lBwqxQ0TzwGgnC6WIs7M5ItC0hq6D9lZp767uWIZnQaG5qA8ACfHzighvAPQtRPoBeLMjsULIDoOQlUboOed8SkGHrzR05DprcYGJwAF2WVAqHQ2qrMJSeXyDMAqHIGs36FWAPPnxRkot4hAWDc4noNwsuAIq0AA0qlLxfuVElDYDEzscrpO6nwFQiCUEnR35jirhVOBVgqxBY1ez7QGEXVdkrq2xIHqSlXkpWD7ZD+Lr2XvRSp9g72+/XUrlBKgAf9/S3EfdrsdB//K9auSuFTiAikXvkBmifMlq5Xc9aDkoucNf4/D276OHirBr19uwMJ3F6C2uQ3rP96Emx65XDLuVBAENNY1oVtqF8Vx+nPejUY9wsMt2FRpw5TugROnDxCL7D0gntARf29rsyJ3dz5GXTQBe97bjXvmnKqrIfd8bmlswbIl3+NEfg32bj4MAPjq0Jtu7uYdRXOjOstxy6JU0QZdO0Fb3akANSWhSm/UY9KzUzH+X5NgibFgy9MbkP9zDkaGxTuL+QFAvR3BccFeXxLiFLRygrSal0VHfOLl+vNWcBAABKsAEALe6G4VkjqHGf2cweF/FCgL497WAfL1M8QuVmx/XhUV3qlECEE80iamwRaugzVSj7YoHu1hPJJGJgF6DrA6ULSlEMXr8+EoaIRwrBlCWSvy/8xH7qZ8ZPTp4XLJklI8OAdc+g1bYEwO2kZtJflAcjoCyKWQS3Lgq8DEcZwrAURnFBn0hdPpVy+G53gQQfrFKBUUTF+2SuOliobSOZXa37JNqzDno397BCTT5eKAbzFSrm1De6YrKhpSsNcTvb6pcC7l5qI0HiWUrBFS545WMZdzI/TnPugoUml4OwL7+4mDxMX7kpv5lbs21WYn85eO9BWIQP6OILfvlsYWvHrPf3DpbTNwQt+O5Yu+Re9BqbhtVh/J9g0nmmAym2CUmKlXsz9vxMaGoa66HoBnXJgvabfl1omXK8V5EELwxvJdiO4ajdaaVjSVNmLW+YOlugIhBFWlNXjp0WWYN/Fh/PnLDuzd47yHr1gwCzzPBzQWT1M2/kYIeY1wWB1Y9/ha2K2nMiCwioD4z261Y/srW9Fc7sxMkP39Efy5cC3gcGYYAgfEDZDX+Gn/4urQFCnBk5r3KeKbWOweJSVYSb305F5acv7+YqFzXEIPcEx9DaUUzgVZRV5rcYi3FZ8LNnherv6IeLlSH0qwlpDMUWngQwzgI03gu5hhjdShPVqPvKpK5BeXO2N/4LSGoLYdploBhb/mwnjCgaPr8pH/Zz74VgG8VQBvF5zuWaL9yClEUq5VajldqW3V4E1AUitAqSnmRzlUW+AWitMRa5/a1JGUs8Gtg77YeD2PQ4XFboK8r4KPmhckbaNU9G7euJmuWhSsaxbNQsVuG8gAWiVLi9SEjjhmxFtfUm3l0pDL8drW1V4Ve7r90uVrvMY2dYZS0hmB1uaQILQ2tyv2D7gLnvSYaeFJut4bgRT2lPCW9thfl0B/UTqv/37kY9TXNOCvH7fhq8XfIS4uCu+9do1kYDgA1FU1yAaGB4KyqFjEtzSgpcXqsY6Ni6D/peruiK0TagK1peKAlj/+IT5Y8j26zOiB7R/sxP13zXSlrD1ALCCEYNPPO3DfRU/j6gF3YcG5T+JobhEcUQaQeisSesfh+a8fwhULzg/4dccRuWhjhoaGBoSHh2P+qjthCjYFdAAayrCCl317DUhdO4SKdpitHPrPHYi9+no31xGxoNb+Xh5IlfPBGBQZBPuEaNh/OA5DsAHxw7oiZXoaQuJDIEauP0A+GFhs2hfPikkF1lLUWC/UzPaKi06y34XqNoAD+GjPFHDsOVy6fA0yusUDFh34cKNrmbcZfRY26FqqeB5dLqeESAZry6BGGREHgHsoC3YBvADA4XTN4uwEnADo2ggEPQHRcyA8h+QB3V2uWbn7i5AxIkXS1Ko0bqVq5sCZj9uQihVi17HXotzMr5TLiZQCzd4rf+XtR2t1KyaNGhHQ46H4E9R5upQQ9sW2vREoOHwcbeHeixzSWAvW3YpW7ZbzjRcLT+LZx0BW/KXnUepaYeMqlLYXx69JPSvV/E6+BIIHqrDm0uVrXAHuYk6HxaMzrt+Kkiq0NrcjuVd3j3X0WhILalIuL/T3cBailL/WAulWRfsDpFO/it3+5KxEp/v5QNm4cgfeevRj2Kx2hEeHIrFnV3z6zo3INYZLthcEAQe35yK9fxLMEqlfOwr9vfnDuQgONiEpKQaA+++t9GyR+k6vDW9JKSj0elu/7iAefPQrtM/pCuFgPboe02HVin/iEBeMktwy7Nt6GKuWb0BDfSNsIyLApzvLHoT/Vgu+GVj0n7sQ2y1ach9yNDS0ICL8StTX1yMsTLkgombZOIvxEPQFAkdOI0hZK1o5B3ZmF0m3Y9ANjAQXa4I+SA9rpA7kWCsQoseEp6ag/3UDJRUN2f0zSKW8pYhn3MTL2NktJYuFuJ0an3XWlcZj/O0CxmV6L0qZOSwFxCoAJuftoXQexPUp6Gep/2z/9L/YjUqtJUPcly/tJLfRO6ukC2Ye9mD+pFuWDq0JerRH62AN5uEwcSg4fBwFe0pQtK0Q6QnxIAXNcBQ2Od2zKlohVLdBqLOCtzpT92YMSXKrUaJUSJBFrmYMu15NO39QUmjFSq9cWzWWOvH6fjFpkm0DhS+zkWfShYLjeGQXl7jGwSLOSLMzx71AH10uzjIl7oMN/GWFw2WbVrlmHwOR0lfq+Ue/e7M40M/stkqKsK+wz1dv99rZYG1UC+u6Jq4NAgBzPvq3z7VBWCyhZslaG2pSKIuvVaoYdxbeUjZ7Y2jPdNc1otZC1llY2234z6LPYbPawfEcErtF4uGlt8NkMshu097qtDZ0hqIBnHp2dOkShpqTKXDFyCkHUnWE6Ge2FpDUPtn//bgWHDlyHA8t/Aqt48PBWfSwb67CTY9fiY0bj+CWCQ/jgcufxYfPfYNKaxPGPjER+kFRgI6D+btydAmOxEtfPexSNDoLLUD8b4QjrxGZ52SgIBXg9Z56ImuNcAlzw1OgHx4Nod0B4afjIE02GK5MhCnM00LFClFyVg1APqUp7UM8YyK3H39cUdS8ZCWL+QkCatqq3VL8imtw0O+TklKwtmCfq/CfEt4CxeXaeYt9YLdTshJ4c2lTs53SvqW2Y5cLJwPVYReclcbtAtDuQFpSAoidOJURHuAMPKDjnXEkeg58mwChxe60kujhZh3xNqva2e5WStelknVNPPusRsFg17U0tAAC8Rrv5M+MsDd3kjPtRkVfwAeIBTqdFd3Co5AcFo2NWfsRFGICz/Oy6XrFQcH0Jez8LL0/uQBzGtshVloAdcKkGuTGL7VOCTXXgtIMqfgalUqwIHePdTQJw+mO4wBOndtP5y7wKc5FDFtJnA0SV1ujgJ25ltvG32tCjNrgcFYxY9fRTGbsuNg24hiqznyObP45y+W+lpzZHQ99eC9MQUYcIPKxGCazEQ6bHYIgBDTYmeUAsUCICILVVo7mZvfieUppj9lnXkcmNQ4ePIYbbvoPSkOjUNtajfRqE8wmEy4e2AWjx76NokQH0GMgYnftAjnWgsp9FUAcEPxzFYKiLVj47gK3lMC+jGP5VvVFaDVl429EmM6I/PoT0Ou9a6BiQZE36WC8LNH1XeplIfXioZ/FiC0IYuVEygTrS7aRjszciV2pAMDRZseeinLogjxnH8THKTTbMSw5Ebu5E671UvU15FAr9NO+itd7Lmf7UVI41LhrSfXty/ikltP98CezZckpZm7KiN1ZIBB2grS0BKC23Vmd3EHg0PPgdHBTSNbsPnxSGXF+n5YhnXWsM9yu1FospPAlC5uY9KgeqvuWc+eSQk5IYL+faYUDcL7odkEPgKCuphHVxTXQGXgkZMRLZhiibkasJUbsurS3MtcjtkLJciOlaEh9V4t4P6wAp2YcShM2eytz4bA6YGu3YVT/3q72cn0quaPKTTB5FEaF+ntOzoWqMxG7BLH/A5Ghig0SD42Q9wwA5K8Zb9mPztS9SPdLr1Hxc0VOSVGKGQoENqsdn7/+AwghmHPfxbjwpukYoGuTnExgzyvP8zAEGdHW0gZLSGArYru5zOmAnKgQVFbUIyVVvRVFKn5Dah9y+6+ra8ZNt76Poth2NCZVO1e0ONDa0IoBAx4GH2tCS1c9jLUHgCAdosJD0VbbiuGJ8fjrWC6WfPWE37VHXlu+Ex88943q9pob1d+EKWlpSD8/A9hcjf5t8sFOgZztpeZzcZYfKcuB1HK1D3Y2cJD++ZLFhDXzSx3/wLgM2FrtGJGe5LFOilFdumFndZnb8ahNaSunaMhlaJL7Lu5HrnK4UtE+qbH64nbli1VFTvjgeWfKXd6iBx9mdAatxwaBT7CA7x4MXXIIuJRgcAlBQJTJGbyu5wA7AZodToWkrA2koBlVBysx0B6OwVzUKZetE+1Ys/sw1uzLxpqD2W6JE/zFF0XXn/ox8haPU9mo1PQj9V8KqRlSKaXjTGWfolD3JY7nEWQOQlrfRHTv0xXWVhvsbc7flQ18Z92MqFsUewxK7plqYAPU1Zwbtedv3riZHXZT21uZC3ubHS1VzVi/LwdZeQexfstubMzaB2urFVlHlF0BxajJ5MZazNW6Vsk9j31BPN6OxKcEagaeBokrZZnyppx2pkLhLUuaGLH73rxxM92UeDWB9mrij/yhuqwWN497CCcq6zF59mhcfMu54HletfJvMhnQ1uwZvO0vclaImtguqK5uUnThVOrTl/3Tffxr8Xfo0jMeXS/t6VqfV12FkolBKJkUhMJ+HIKP25Cw3447nrgWjzwwCwW/5WP7q1thbbVi38k0t75wgFjw5L/X4+OXv8eA2wap3k6zbJzFuBXos9pha7Uj9dw0FPyaB1yknEFKTZ9SSAVYs4K8t5cRhRVwqGDQEfcpb0i9LOl49lbmIt3cFR8XbMW0Yb09ZufEL8RtBUVuajh9ySoFNqu1eLDpY+mLW6rIH+3TRajvtTvoPuWWKVlLxGP2hlJCAW+cso6cWib120T2iAKxC3DYBaBO51RI7ARoEzA0vguySo7hBGpBCMDrOOhOVj7n9Tx4Aw+e58DpT37Xnfx/8k8tcrPC4qQIvmb26ShK99TpdHXwFW9j4nkeOoMOgiAouqUpzRCL1yllnxK3Y60QcmM9nUoa+/wkhGBLUTG4CAO21JViS1kJYCcY1b0H4CBoqGmEyWJCW0s7TGbnzTUwLgN7ynMADhDsAmzNNucxJffGnrIc6E16xTTicnF6cpzpZA+dwc6cPHQPDkdLYyuG9vKvPoO3/jvan9prHDhlxVC6T+TGpGaSwpslUYm9Ww7jqXn/BwC45LYZuHLBLLf1UjP/4v0YggywWW0+71sJqdSzoyN5LEcQJlWWoUsXz4B1JXcquT6V9v3br/uweVs+Wud0BY9TE5KtofsgnPQ0CD9qRWixHXP+dSXunD0QhBDsaGhBclwcXlzwDl5c8A6OZL8iacWVGkd2dhk+eHctfv5zPwxXJmEv6hTHyqJlo/qbcOjLAyhccxRxA7qgJsQBw0RPZUNKAAY8XxBySoNaQVGNwjElLc31sJILUmPdHQDvGXuU9il3PPR4B5MIBMeHwhhiVMywlTksBUKbHaS8DVyixWumJTUKB11Os1rR7cRCPK00Tv9L/Za0HSBfv4Mdm7dAbLlj8+Y+xR4Xi78Kh5rK8OLlctsLdgGC4+SfTYBgF0DswsnlBIJdAIRTn6lywlEFRMeB4zkQQsDrddCZdOB1PPrHp+FgbYFTUTnZVk6B9nbNijNRAUBbUxsqi6qR2Nczy41U33JF1ZSyFYmFhrNRAdlxKAcF+4qQNsR5bZXmlCEsNhQTRw6SrZXBuiWxbh3i8yHnm06ROj/izFFS/cr1ryQ4+iJUss9KwS7AYXWAN/BYvycbCNIBVgE3DZ4IjuewM/sgdtVXgDPqwAGAQDCqeyJ0Bh5EIPj0h01I6dcd4ADOrAMEYHRCd2wtKcaY5GRsPVEqOQapCYBAxm34G4/kK4G41hvrmnAsrxy9h3XOfeOrwuGvgiKXmYqi1ooU6OdHc2MLPnv1B/z2xQYAwMs/LERy5qnnoi/VuA9uz0Ziz25eXd78hVUayoqq0KOtHr16uQf+i+MzxEitp59LS2tRVdUI3YDerv0dOXIc193wLlonhEPfJwLF6095u1C5wFJqR2Ixj+eWP4QZaWGuPmkfhBBUVzciNjZMlaLz06EaLLz2ZdjTLSiKaEPG2DQ4Wm04ePtKVdmoNMvG34TyXWUAgJrsauhuk37Aq830IzVzRZcppXBl29N+xD7kUsKmN/9hQL7qstrZYCmh1C3g+4994EgwpmW4V+WVmrXjg/QQTDxQbwMiPZVrqXMih9jSIlYA6GeqQLAKByCd3UJOyfDH8qEGOSvOmawoLmXBovhqrXBTTk4qJkQAmiubwfF2GCwGQBBQK9ShsboRxCEgNawr8k4cR0GUERE6E47VHAfHc8ivPwbwPHrHJSPnRDE43qnEcDycygzPAToO1hYr7O128Doeu8uzwfM8Mi3K8RoU1l9fTS0OJXfGs8F9ygPRT2cIMqC9xebmNkXjMLxNZIiVQV/qCUgpGhRvisZrW1fj054LXP1IVQyXi5+RgvZNCEFrbSt4PQ/SQjB5UCaaypqgM/DIazuOjODu2F1VDs7II39fCTLGpgIAtp0odcZL8RxSJziXsdWWtzWUA2EGbC4oBGfSOZUQqLeEd0Tp8NVttqMEQsGWCxIPlODtLQmCt/ZifInROpMTDzUVdXhw9rOor3G++xKS4/DcVw8iJOxUDQ1fFI3GuibwvC6gioaSQB4eHYxd+2vQy4dt2PVSGaqmTH4GCNXjSNYLAJzWhXk3voPWQSHQ94lw64fKBvpGBxLyBSx95yaMjhFA4HmuDiIY/WI5r4qGIAhYuXI3nnv1FziGR8A4JhaCH3KGpmz8DXDYHWhvcGZhwMAI8MEGRTceJSFQzUwxFXhpvyzimhNyD0CpFwfbTir/PCtE+YrSzLjQYsew5B6ITI+WDHynAeBuykekEaS8TVLZoEgFcsuNTbwv+ntJuU/R85+d5dm3lHWBHQ+7XC6eQymuRE5hUZv1yherhreMN2wb8T7Y5R111ZBTTmzNVhhDjTBHOR/GNWhGdJQzOUNKXDKShETsLs1G/6g02O0OEIHAxNVAcAjQG5zCmmAXQKzOdYKDAAIBQFDeVIloIRh5NSWuMI3gMB3amlpRfMBpaQHHOV2/eA4A57SmcAB4Dk0nGtErJgUnyk4AHAeOc7bjXJ+dKWQ53vnCBQCO57H36FEMTk91ruOcx2y32vHXgSMAgCHMfcxJ6GtiS5/AViEEQNy/gpxcT5uRkw0IEU4tE5zKnUAEEIFgR95BxCAEgiBgf3U+2trb0F2IBhDpet74UmtCToiVeh6JP9N+xUGw3gSyf46e4UqvOiUtzVWDSGoMAFz+8d6EVeIg2FpcjGnDeqOlqhkD4tKR1XgIbXVt+Ks8HxuMBUCMCRwhSB996j7lTmZ9U4LjOCBED9JgA/ScM4OcBErWcV9QUz/kbEUuSFytJUCctEAtYiVW7T6lJhUCEdgtdb36ahmh9CFNGHnR02isa0af4Rm45NZzMWhcHzel2NeMTS2NrbCEmX3ahiJ3L8pZKfpxLdhqJxDsDlRU1CMiwgKbzYGqqkYkJkZDp+MVrRrizwCwfPlWAEBschTa220oLq7B9Te+g/iJPdDSy/mOyc4qANgwXoeA2P1WjLpkFEaNSoec65KUgsOyYkUWHn7oC3TpEo5GYkdpSDu6jHbGhvgz0agpG38Dag5WwRRmgn1clLMQC9RbMaQQm8FZYVguEJmFugQB8plSWNgXqpwvuzhLlbeCaCxK2VKmpKWhpaoZW/ILMS09WnI7anGgy9bl52Na30z8XrkP4+K6Y1PlMdl9y41HLs7FoxJ7qHR18VMKh7QCIGfBUOMGJadwSClNai04HYGeHzUuc6cTwUHA6ZwCl5QgxPM8hnbv7TbmoIgg13GEJIS6thULVifQioFxGUhGojMeoTwXyTGJzgB3HhDsTqVEcDgFcUJOfiYEIAS9YpJABAH2kwqMU4ehAjwBEQgIISAEKNVVghBnPxHEhILDx5m2gAWcSyk4tMP9/BORMiGmtqoekdFhJxUip0JDoTICXeZadVKL4U8qRc62TsWI53j0QAx0ETz2V+djYFwGdtuzcSS3EGWmE67zRwU1pdlZVlhYtmmVZLVvb1m6xLFndP9y+6ZjowG69FkgJViy49tbmSup/Ii/E0Jc8RZEINhfnY/NBYXIO1SCjNGpTkUT/qe25vQ8YNYD7Q5M6SUv/AcqFuNMKRliIduf2XwaJC41a66knIozp8kJ6+Jrd9mmVR0671IufuL7QDxWJTqS5Usca1FX04DRFzgVjRseuQwP3zBa0mohFsy9YbPaYfQz2xKgTuGg9ONaYAwyILZbNHbU2nEgaz/6JCfi260bML/fAIwYkeZz+t0ePZwyS9X+SowcswgcAaxDw1DUSyd7j0dl25CW3BXvPjHbbbmvitqUKX0AAO3BPOyXJqJ+TxHiGcXPVzRl429A3s+5MFgMcMSYwJt0Hut9cesRIxaG2QrWcrPmUg88qfgLdjm7jG0nhbeCaErHIoWt1Q4Yea8z6OL1Y/ulYcPeHPAJFo9Z+I6cc/G5Zd2i5JQ9uTgJJaWjo25VneGSpYRS7A5FbbICFn8LoaWHd0NUlyjkth1TFIrE45VKSSsuzMa253keg7tmehW8/J2FbILQaa4R1l0H0Z6aFDA3hZ05eaiKaMLAuAx0QRfXuGtIDexWp+JDBXdvdS9YYU0JXwUlKcWBCoR0nfPzqcw+bBvxvnbm5EkqJOKx7K3MhaPdgTGJiWivb4PebMD6AzngeA49x7jfCx1JeQ0jD1JvBxGIS4n8b6OjigYAmINNaGlslVzHKpE0W5pa9ye58Uhdd0qKrxix9U6NJU2tW5iv7mNiYf3B2c+hvrYR1z94Kc6fO1W2Po4vigYA6PR6WNv9y0Tl7XkrVYPHFARMTwnBzmY9RscZcNBmwisXn4PDh0thtdoRFORZE0SuuB8AZGZ2RdeukajsZYQjORicjochxiR7P5sr7ejaHISPP7vRZ8VmzZr9WPrVNiz8xzQMGZKCsDALvvnmHlwz503wer7Dk45a6tu/AV0Gx6OxrgW2zwrR/tFRWJcXQah2ulX5cgHIuZ6IhWylWW9vbjJsoObphlppxIqDvdWGib0841SkMm2xSsWW6uMgVuK2DYsvMRtqBGOpuA1z4wA3i4QvqE1bK0cg4zLk4mmk8GbF8lYBviOwvuOCg4DXc16L7Mkt91YcUM0yKc6mYO6ykAhZgYtF7aza0J7pHqlhh/ZMR2h0KFrqT1XWFb+gpfoXKxms4CD+3dhZXqn27PikkHOJYduLLSts/3LX886cPLy/4RdszzsAa5MVH37zB8BxcNgE2FpsTvNRiPKcoa/PDU7ndKGyNgUuXSilMwpxnilrqCXUjLYWz0riLHRiwdd7VjxJpyT0vrZ1tU990/OlJouUVDupe0VNf2KosF5X04DaijoMndQPF86bJvusoAK9L/VujCY9HDaHT+PqqCLK8zzMIUEoi+qCCfFGOBwCTEadzxYWQgjuu/cTpA5Og25ENHRdzMgtLJW9nzN6dkdcjgPP/OsyJCRE+rSvmpom/P7bfhwrKsfNt76P+5/7BR99tAEvvbQSiRmBqXKvWTb+BhhDTUCTHXxmKLjEYJDyVlg/Ogq+mxm6UTHQJUvPKopn49nsTHIPfVqESbxe7Sw+K2T141qwU2K9t4KCHXWnYce+JjsXpKQZHB/s0vSVsqmwblhr9mcDook9X7MtKc3As7ExbIYpsXWDDRbvrCBwwDPmI5DuU4EIJO0ISteTXBa0gtIit+BPuW3Z/2qr3fvqOiLlzuPrthTxy7QjQa2WUDOaTjR7nXHsaOXt0QP6oM0mIC+3DPEJkQgJcRbOEisd7H6ocC/+fVlrA/3Onle5VJ3sd7GVQg72XL+2dbVH7AYbyC5elnUkF61NbWipagYhgM7A45oZYyDYBWwrdqa85YK9v8L9cou06LAx5yjunXkBOI4LmEAvvv/VFHf11saXe0kqO5m/DA8VcLTVplid2lvKV7HrnNh9T2mMtO+BceqTHgDybs5y+5K7DwKRWMLabsM95/0LADD+ghEAAvsMMQYZ0N7qrjR7e975c02Ix8buIzY2FFVVDTh8uBR9ZTINsu5hO1v12LZ6F4xV1TiUX4kD5mMgO09dX2KviuysAvQcmgzrZ4WYdsFonHOud1d4lm+++QuPP/41ImPDMXhML2wOKsPx8ir8tXM/TkQD/PAI5PpZr4tFS337N+D4tmPY+94u8EnBEI63ABY90HAyb7SRh/HuTJ+y76gR+GiKVsDzwqIvTCk/ZrFlQ/xAEj/sWeXDHyVDahtWqRKabBga2gW7Sa1rvbc0q65K4nVWoN0Bvot7gJlSpV1WqJb6TMnOKpBMYStWOuTc2tSmvxVzJjNIsZxOpcNbHJBc+tr8XQVIGZCkeG9JXc++jMkXpF6CcoKCN4UiUClvW5paUHD4OK4c0Q2A7wKBN1colvT2OhQWVqOhvgV2h4DgYCNMJiPMZiNCQkyIjAzGIc5z4mXZplXOjGN2pxsWmxBAjSVW7twpBfmy5/8fS5bi7TvnqzpG2q/D5kB7XRu2Hi/B5H490XbCmYFqc3ERSLsAzsiDCzWo7tMf8jbm45U7bkbQyXd+IC0IHVEQAkUgLITff/cHpk8bgZAw3657KSVDrWuTmj6l1gHyzwgWX2M2/N2eEIK7z1uM0oIKXH3PhZh92wy3YPBAIAgCDmzLRmq/JGSXlwb8vLKwzzKxdaatzYqdOwswdmymx3asS1lTQzOeu+0tZOeXwGAFcEU35JVVemwjnkBIbQtGQpkeP393N0wm9c8FQgj69H0A5y04F5u+2IJRs4fjz8hyybZS8aC+pL7V3Kj+BlQdqIRuRDSM1yTDeHcmDBd2g+HmVPCZoYBVgO3bEgjtnqZCOXcTsQuRt+W0LyXUvgykBDO2b+rGoqY/NYHjo+K6YWeVe9549vik3KlctDuc6SJVIFYoxJ+lzp9YUWAtGlKxG+xN7quSoYSSpUQ8bm9WldMd56EGpaQEUjEVgDNDE89xPinxbD9K8R3+oKRIKLX3dTtfCbIEobutCXa73S9Fw6d9BRnRq1dXjBiZjkGDktG9ezSCg02uLC3btuWh4FAJbEwVebvdjglhvVGTXY31Ww6hvqgONdnVqMmpQXNFE3aXZgPwXnGahc4oq1E0AKhSNGjyDHqttte1wRBsxNRBziSagoNgc2ERoOPBRRq9uk4FgrRRKXjzz1+xpzznjLgqKdWT6QjerA1qEQQBOVVFMBr1Pl/LUpYLqXs2UNBjZl2glCx3gLy7FF0ntx85xOfonSc+Q2lBBa5/8FJc+o+ZsoqGr+eWhed5RHWJQF1VvVdFzNsxebPksM8/8bOQWr5qa5vQ1mZFXm4ZPvpoA+584ntcN+Je3LXoB+xYtw8Lr3wJuc1VKBqmQ94YnaSiISY9Pg6OjVW4ZvYwnxQNwJmBjjgI2pMJxjw9EfxQ+Wd4R92qNTeqsxyH3YHSPWUwXJUIAOCNOmRXVCJzWAq4KfGw1VhBjjbB/vNx6IZEgYsNAn/StC5V+ExKwaDrlKDtWKuGFN7M1GJLCKA+cFxqX2JoXy7rRGkLEKpXVAbE61wmSh0H0i54mMnl3Ki8uVixpk+lrF+sa5VSGmJfivrR71LjYc2y3gr1KT1svGW7YvvzB7laLFLtAE+XJjmhRWqdIAiuTFTexiTuR8m1Ss14pPAWT+BLoGmgrBqA8yVaSIJgcVhg8MxdoYivygnranDUHIF+lhZERzuXD+Za0NZmxdGjVbBn56E2Lh7tre2oq25EkMWEB265Dh9u+dV1zlsaWpCVcwi1OdXYXNUMS2yw7H7Fs86Ap1XDX5cSuWuYEEBndJ5QV+wEB8DE+xW07Y9bJGfgASOPtro2BEUGBXTWOdDuUWr7VMJXiwLP88iI6eGXog2od8VTizfrnFQbVpCWyi7ly/nwZfZ/3bdbsObrzeg9LB0XzpumuE1HXTBbmloREx8luc6XY/X1eclaOXIMYUhPj0debjnsDgEhIUF4+4M/caKsDoYrEvHbyi34beUW6EfGoAB26bzjEmT/lY/ULc7JlRdf/Anzbprk0xgBYNCgJBQvz0faTb097nF/i/RKoVk2znLWrd0PBPH4f/beO06O9K7zf1d1de6enEfSaDQjjXJYbbR37V3t+lgDBowBH8c5kDEmnO+4gx/hdwcHHGA4cwdm+cHhw2QHjI2N19hr7Xpz0AZppVWYGUkz0uTY07m7wu+Pnuqprq6qrg4jzdr6vF796u6qp57nqaeeqvp+nm8au15QbRmFR7HFh//Hh/H953143tWP0BlAm0+jZuSyeipNGjcTyigkmlc9jDfi6fnRMqdN88POSYNRTYIncz1mbcnR9m7u32ddl12eB13oHr06g+AXYcmdo6SdBsNOuLaLQmUmIrVGvDIfq+feMObgMOb8sGrL7YPGbR6Oes2nnOaLed5UoyUzQ5VVRBdkwwm15oypBm5XaZ1CbdYDWS48azxVaoAaBaMgEgj42LOnm5lIK8sLMWRZoXewi8H92xFFseQZEWoK8bbbb+e+u+9AySmsjC/z/IXTtu2YzVt0p12n1V/9uFogCKCpGifHx3lm7hovrM4gRL2WRMPqvjbvN35XhZCHZycnyKxk0FR7La8qq8hZmXwyRy6eJZ/OW5ZzQ8R11GJSWw9quVZNHVGujc6W5Ztxg3qIRjXk9uVLY1U9i+yE70b4aFy+PM/vf/AP+JNf+WsAfv6jP1x1HdX0I5fJkUlmGV+Zd+XYbrynK93bVjgopMo0JZ+8OM1BIUV3dzNHj+1k164u9u/v43/83X/GH/Jxx+4Bvu2j38bEHRLjwhrBxBHb+s3aheHeHpR1ee8X/8S9qaYRf/r//SjXzl5n8WxBi7JZJs63yMYWR9d1Fc+epo2g9RYQJRGP14MYlhCavBAvJRtWRKPShKpWwNWdLvUH/icvTpcIAnaOrW4dat3A/LL58JETDLVtR/IXND12RMBsblaSIbvdj5ZSUFdyxX3GcjrM/h5mmLebHcHT0TNlmgrjtmrzqdgJ/7WoQitpv4x9M+ZgMY5rvRGkzCSinuPd7FPV6smGuR4r8uOmP5WgEwwnzYXVy9Ic4anWF6oRehI/XfNXj8mDDqc+GaPRGFcO9e0XPE30D3YzfHCA7cN9tLQ3lZmOGIU8X8BH80ALP/nud5OcTZDLFO5zo/BoFkaqPReoLliAkld4dmKyqNkQJLEkwZ6maow+dxlN1co0FlaLC1b73EIQBC5duMaz1yZILSTJrhMJOSuTT+fJrGZIzidJL6XIJ/M8OXYZVdHI6Ulobc5TF36rvS9vJqyu/UNvvwOPR2RucuGG9qUaYuTmveqWWJjvpUrPIiMuXpjmff/+47QOb2PPsV185wcfpKPXWuPgFm7ux0vXplw58JsXYmo1t/vASF/JtxE+n8Ridx+SJNHR28YPvOdOvOfyfGPiKiN3DTFy+yA7Hoi7akfTNI5nOgH4jvef4IcfHK5JC/S7v/PPpBMZ3nrH8bJ9jYwed8uMaotj6o05ZoYF9EtV8YURkGDVfiXeGI3KTjguEbYNx5nNo6xMO+xuXiu7SKewoTrcmMvY1fXK5HlymSzNlIaBc8qgru/Tx2D0tQl2H96BNptBNa3sWZkducmKrQsAZsLhZFrlJFBUasfYV6tr63S8sZzdOVmdf6OyDOuwst+uRxipZA+u5NWGrNZbCVS1RKJyK+Tardw52R0b66/25er1SWiqyl5lrWLkLreo1IdqnMor1atvG12c5fDOPawtxMmlc7wxdZmh1m187vIrfPjhd5aNj9P1MF5zfWydgmKYoWQV7ts9WHa/aZoGGRUtJTO0px9UzVYjadxWb2S5kTt2FZ4lQQ/MqwU/No2CWZckgk/gwT27OTk+jhDxIngEpGCp7bhZk6E/163uw81wCG+ENs+ujr5dXTz6led5947OqnMbbDaMkdeqMcV0ciSvZSwPCik+/L//lUP3HWTi4hRSNsv3/XRtmh3z89BJWzt1eY5QS7gq7a+bes0wR+MzLroYSYd5oURub+P0c08z0j5Az+19PD42jjaXYfexgeJil9X9q6kaPY/GuTBznd/57C/yPYe6ytq1wicvTpf16fWxBd79S+/iUua6q3OtFbfIxhZGLpGDeJ6BB/YiujWI9opo+VKVrtXKtFX+h5Pj40w+HoVouTbE/PJ0etlW82I2w03+ATtfDeP2k+Pj3BHo5KX5GR7a2VrcZj5fM7k4OT5eZlZ08dQVkFX8MRWaS18mVqFozfk69PoLOTOso0tBaQQqo6/GiaGhYnQwN6FvjWXMD6lqhA6rslZRtpzCBxu/a0Gt/jxu6nWqr+CnU7+NeiOEpmruHytiUinCTT2aDV0DcCOELKvkV27i7rtxon/50hjRrigzF2fxhXzc/9a7UFWVezw7mR2bp2tnJ6GmYMmxxnGTczL/6ytfgqzCHQPbUTtUXl8cL2vb7Nejb9OhZGXkdJ7nFqYQDAlcNUWFhMxbBgZ45soEQsBTyPbtAo2IQFesI1TapuXiiqpVDKxg57Nn9d8NnAj5ZjhcGxGKhDiwaweJ1RRNbY1JbtkouCEQ5u1Wfh1O0azcjK+mabz66hWWl5Pc+x2389O//TP4/OUJ7tzALflZmFnmtYvjbFsXrJ2iftXqp6LD6Rlk9DUzL5R0HO3F+5jE+b89y7mr02hxGeXFJaSHexGPFbQ+Vvev/PgcE2eWABg+uJOzWjnRsCI+x/cMl/yfmlpm5vIsvaFdRIlWe9q8bXCQcy7L3iIbWxir48sI7X73RAMKhnHr0YzthDy7hH4nhoZ45NRjJSvselnzap0Ou5VS8/9KK4Hm33YrYTrsSImxzAtjV6G1NFSznWO4neZARzB9lHzgNbyG+9mKlOiExSyIj9w+yOTjpfXr46zd8WFCJ58qa1Mve3J8vEQzUQ2c/DFqhV1ySKdttcKYjbvRcBJqVFlBlKr0eLZBo6LquHkJOtkkV/ItqIV0iKKIxyvxStrH7WF3jrK1alHqdRSthEAowPYD2wqhcdfJ01sOHSOxkmDu8jzTnuVisAhj3zOpDHPj87z/6L2EW0KszKyyNLnEd+y7nX/9+gvFcoqs0poKcmXqKq19rbR0N5e0r+QVMqsZfFE/wpqBaGQUtJTM2/YObfhN+G/8CrqWktFyasGiVxIh5LHUdspZhUCoVLOx2b5Lbt5DxrKNJiDNbVHmry/WTDbqEearOXfz/moXJqqFLtj+9//+TywvJ/m+77uT//6bP8A53BENKy2m2749/fwZ2vvbuGP/nrLjGuF/Ugnm6FRW5/L2u49y+//dw4dO/Cr57SHW/mWS/s5mAksCKzb1qrKK8mKBaGx/+4CtptdKy2He9h8/8te87XvfgtBXPdE4MTRENlluLmmHW2RjC+PVVy4Tl2TcZDbRhcoTQ0MsyYt0DnU5mrFUSuoH5UKjnZ2tfhN/4ulHLU0IzL/NdVgJYVYrgHb5EIzH6Lh/cJCWgJ/tB7ZxbvVKyVhYhrm1QGm0pjMEY4dR5de4+Ow4+KyT7OhkwIrQlUWVihYIR+jkU7bO4kZU0moYzSaM/61Qa5SJRppGuYXbqFK11mvvs1FZs2GVDNCMzSJLZtT6Aq035KYogqaprsnAZq80V9MH85hJFll+I60RfH4fgWk/185dZ1paQVULeTtiCzHWFhK09bfS3NlUrGNleoVXz48hejfq84ckou0Rzi1f5vL5Ke7wHObszBiDwT4uzF1BlEReTi0gJApEQ1M13tq5DVVWkQISn/zsE+w6tgOh2dpRfDOhZRTu6uzH4/PwzNgVkBWEgAjr94j+TPj62Biaqln6OzXqPnB6BrghzZsRLKF7RyeXXrvMzMQCvQOdVR+vn5PTCns1/dUjXdkd48ZR2twHt5YKZpOibDbP3/7NM3R3N/Prv/H9CILAQZxNIavNFm6WMw5s24GSVwi3hCpG4jLW0aj5YNVvu3P5yt9+g0ybyJWpOQabgqyMx5AOBWyFc/VCrPj7Qx/6AVdjZGU+9cySyhtvTNH94weqIgK1vv+3loHhLRShqRrq+TUybaKr1WyrKEJOk6Jeh10rGLURxpeKcbXELgyondDmFEXDSdCTMzJXEjNFogEbOTWcYBwT45gG44dJN59FCYp4M/bH68foZk9W7VlqTtbD3JphvvZGLYWVNsatT0Y9pMHNONYCp8hRdoS03vbsoOZVRI+zZsNIiPWPG/+iWmAnMNyIFbqthHrP1xzi0y18IR+9wz10DnTw7Llxvv7Ec0ycvYaclenf01skGlBwOu/e1U3nzk7a+1uLn5buZkJNQXwhH5G+JpKrSZScwujqNUSvh1OrswiBjTl3d1MPmqLiDXn55KefYNedOws+ETeYaAAgCbwwP8WzU5MIUQmh1VcMDV3yHNHsY5k4PceriUrlRDT071ps9CvBab6IosjAyDaW55aZmajeWfxH7n2nZb/tzJ2MsHLS1v00qjnGCvr94sZxWu+reUX/s6cKgu7v/t6/w1NnhD9zv6z6dHzPMK9PXkUQBVJr6bL+6WWs6tnM56lRq6BpGv/8ia/xKz/8P/nCX3yNmbZC9LaZaA7xSAvSXR229WjpQk61nh2d7D4yWGZSavWxwtqLZ9i+ux8pUKqFNFt/GH/XIzPeIhtbAFaC29f+6RR4BPrfVXiwmoVONwSk0QKhVX3mh5DxRfCJpx8FSm0l7VCJXJi3VzKvkVNy0UmxmhvEyr/l4qkrRc2DHAAxr4Ks2ppeWQn6VlGsRm4ftIxCZUTBz6M0TK25Dqe2nOCGcLjNv9IIOAnqbglntbCznbeLRmVMvuakxWi0JsMpJGMtpMOt/4Yb4dwf8JNOODDwOmE+51ojQpnHrJZrFGoK8Z++73t58G33MHTbIN27uvGFqrM9P9K1m0BLgK6dnRwZGMEX9vJybhGxqbQeTSt8vnF2lF237Sjx4bjRECQRISwhhCQEn6eE8BgTowqiwPPzU6SX0yj58kSzTrB6xm+mGWW1qPQOC4YDDB0cZHl+lakrc7bl7ATcSsEbKqFW80RjW+bfVuTHHJHKfIzRP+GgkGLiiVcB2LOnB2iMOWQlorSvbxt7d/STTZY/l9z4nepoJPkoanoyOf7Pf/8HPvt/v4LQ7+XgTxwl01HQLWQ6JXzf3m9bh7qURXlsDvFwMwfvHkEQBNvxNDupm6Nj/f3fP8ud77AOs9vISJI6bplRbRGYhTZ1Ko04FEEQBEvzmQ+996EyR11YT0YmwP0DgzwxUVnodJsZ3PywN96wdqseVjeqlTBmbMPKWdDqgatv12E+Vk7neWl+GjG/aHnOlYTkRz71mLV2QBSRg+BLao4Cv5VplXm/sdyOB+JFJ3IdupN4mbO64Xir69co3wxwRybcJoasBGMMfqOQYeXHY9QkNMq0yliHIltHo3LTzlYRjpxQy2qe3cs93BQkGU/R1t3SiK4V4WZV1w2qNRMzzyer+WV0gK52/mmqxp7gNmLza4ynp3h2ZRrBwmTvhZVpkDWEFq+rBJNbBUJI4rm569yt9iNKIv4mf0WHcSs0KvKcW7iJclZpDgVCPnYfGmD87CSSJNK9vbOieU6l+enWj8KteZjxvtKTU5qPsVsgtHMWt0MuJ/NXf1XwR2xri5RFY7KD3X63ZmHNOS/N7U2k8oJjObs2rP43ysTqD37+zxmfvM4d/+FuXkjMcfGUfX4fM9SZdQLh9zC3uOHVYSQWRod047aSel6/wJlzUzT/+z14KdVs3Mqz8S2CE0NDqHkFdTSOOGzttOPklPvktQl8TX6+/o3XuSPUhZzdyLlRyyq0Udgzhmq0Wlk1rtDoK4f65xNPP1q8WZ18NPTfUL5qYn4omx8K+nEnx8fJp2VLJ0o3RMPoVG0Vdk4JgJDXwJTIycnkCQrkwexXYdwP5fk2jJoNK1glJHSLeqJFNTKzqA7jfNH/g3W0GuO+zRBEVBu7czcwz+UbQTyqMRtxI/iAexLS3BFldTFeU2IzO9i98Guty2ol02ocKoUq/thzXyk7xu3801SNdDzN6lyMR557jL8cf46n56/bZuYWfJ6CJuFNRDR0CAEPoc4QHm8hA7lbLUetkagagUYFIPAFfOzct435qWWeeeWsZf+q6XM1c98N0Tg9P1ryLq6kWTHvc+u7AfDxfyoI0u97370l22vNx1PJLCy+lOD6hWnOjV/lwtRGfg23pnXm+oyoVbOq4/K5CV596hxjr18ldW8LLyTKtV/GQDBW730tVjC3EiJSMSeQFSrN5a+dnWPv0V14TSGqNxN1P8W2WuKdNxvMAtvJ8XHUszGEZi+e7eGqkrnpQmPTtmbuv2cfqBqr48vEJlbJxbPcPzjIY+dHSS2m6FproifRRHxqjdRiCjknl9VnXGl2I9SZV0LM5fUHofEmNrYBpRoUM3mxe5Cahbn7BwZ5ZfIaBCxsii3+W8Fx3EUR1SsgpTbKujFd0rUX5jrNSfF0WJlY1ZKUz9yODqP5QzWoNuhAPTDPDzdohHCvympNq7FWuBHPSDcrn27MGY1ldVQ6JhQJ4Q96WV1Yc6znRsOKYLghHGA/hz5yz8NV90NVVFKxFM+de41HnnuMK+osDx7dy4Mj39zvTkEQ8EX9SAGJzHK6kCekgTALvVvJf+mNqessqinmry4iy6XvVjdCr93ctTOlNNfttDpvJBhuhPBqhHSjdmhxMc6X/7xAzn/wB9/qeIzxuxa8fGmMZ145y8TrkwQifs7PXOVS4lpZmWrrNPu21DrXvv7ZZ/jlH/x9/vJ/fJaOu3t56G2HivvMi5L6O97qPS+9pRPff96L4PeQS+eL282+GXZjeVBIoWkaj3/uOQ7ctaeqc6gXdZlRmc0ebqE6WAlnmqahnFrGc3e75TFuksYBeEM+vCEf4e4ImZU08ZkESk7hqNjMrkAPl7OzQMEcIJ/M0ZNrYSI1w9GhfTR1Rkvi5htNWpwEJztNgxWRMKtu9RUXq7LGNt3c5LlUjn977C0stW/ccHbhfq1gToBnhXxYwB9T0cSCpgNxIwGPXoe5Trv/Vm0UiMnGf6e+uNUyVENSjMREj1BmjuJlNaZWYX83A5udeVhV1ZqT1FUTQa2RqOYF6LRiqf+u5sUaDAfIZvJl2zc78pSTmYcRxmvgRMxqIbd20FSNZCzFmeuXeH5uigf27+bB7r3F/ZtBzotta1qJxmQzNJFuIQUk8smcrQan1rGulVy4Ieb14vieYV5mjMG2Tq5emGLX/u2uc9FUY7ZjV9bN/0rjV6s50cL0Ej/6B5/nhX99BUXR6OxsIrVrJ1Bq6mNErYk6Af75i0+SSWYRBQGv30ukJcyD99/D64sb872WuWIcI/MzvNr5MzU+y5GHDtL9vTs4OT7O9OXLJfvdvpsFQUCQPGhdAWafneWFcxe468DGM8VopmZFOM5qIZ758kvMz66wOJzHw43zA6uZbNzSaNQHuwe/eiWJllEQ9zeXJZwzRwawEujM/0VJJNQZJtQZ5rHRggB/Zu7V4v6P3PMwp+dHGejYTtdaJ6tzq6wtxFlqS3Ksb6TMZMUKZsHFzh/DvM/NDWv0zTDXb0d2d/l6uZScJGKRpMZu3PXxtNNQmH0vRu4eYvzJcaSMiqCJyOGNcnYw+nCY/S/M2g27flgJDU5CRC1ChpWviZlEmOs0brsZ4XEbDUVW6k5Ud6NIRrWwcuo0wyhYuHlRhyJBVuZjQPVhP536aCfg2PXJbruVlnUzkc/mOTV2juemr3Hi0AgPdo+U7G+04P/Arl3IaRk5I6PmFTQNBFEg0BLA47t5juUA+XS+LKO4jpPj4zck/4yOG0E0dBzfM4yqqlw+O8nV89fZuW+b4zPFrelgvf03mlFZ1elG+2feppOFM0qAX//g77A4vYSsqKDByEhPXf21gt7H/f3byKXzDBwskLmVuRXiywk6Ix2OEQwrzTkrH1G7/VY+NX/3V48y+dxVWrua+Y73n+Cf/+9jDH3Hbs416L4fm55lZ0jjpS+8jOSVLK+RmbydujCKNp3m//7uZ0ndFcFTTf62BkDQXOg219bWaG5u5kOP/iz+sH9TwlB+q8HuZZP71ARCX5DLwSTg7Ais12PeZ6dpshIQzdfy9PwoPYkmsqk8oeYgl1Yn2dc5iOgR1xN4eZB8HiSfVGIPmU5meP70efLZHOcXJ0DVCmrz9YgqI+0D+AISvqCfs4vjyGmZ99z2NsJNQS7OTJfEtzc/EMwrDJUckuMzcQRRINIdqTgGbmEn/ItpFSmjovhFBGDw7p2Ippe7lQ+Ilc+G23KNQK0rnVZj7kTgaoHTi8BOgK+U8LEaqLLKlTMTDN3WuPHeCqhVSHGzoinLMudPjTN8aIBgOFBTO276sNloBEFMJzK8evUCzy9O8eD+clOFRhON+3p3MBTo4+LqJFJAQskpaKrGM2NXePvB3XgNCfZutHbjxNAQqcUUtw/t543Y1bL9jSDjjSYPjXYI1gmHoqgMjGwjYBG9rN75XW1fnRytq63LGHr1ic8/z5/8yl+jKipen4SqarzjoQP84f/6QLGM1fFW241mn3Z9XVuMk1xN0TvcDRQSbM6OzbPj4Aaxswr4AI2Ze805iWw6x4E7Cvf5v/z14/h8En/xm5+i82g3ybkkqZkkvpAP+Ue2IwYaF5PpytfG2H5O4U8f+y3Gl+aLY/SJpx8tC6AD8P+8//eZn1ik4/Yurh/y8uCw83V2s2iYTWZ55J1/RCwWo6mpybFsVWd+qHOIYCRYzSG3UAXUpSzqtSS+d/XDG8mSfXYX3mqbHfEzC5j6b6Opx5Gu3agdKplEhl3t3exXtnPu8kQhiZWqMdzTw7lLkyiygmc9w/KVV68ieEQmM7N4/BKCKBQ/iAIHOndxbv4y8koeJVNwFPQEPGiqytzkIoGUhj8IX7l0Cm/Iizfs4/j2fcAG0TA6f+vnYUc6JL+HAambeeJlY1gLnPwxVD94E/vxZhXy/ktceeYqXo6y44F4WVmrbN7GULZmcrFZRKOSiZhVf42wSpBohnGuGcu6ISCVCIU5HGajtQeyLBfndj1wa3642bgRK7mSJNHUFmF5Pkb/YGPIhtmu3Ekg24yIZLUgnciQSWR4fnXakmhA40yaTgwNkUvkGA70c1meIdgWRMkpZNeyvLA4zYnje2sOctAInBgaQtM0NMU6jPRWJBqbUacoigwf3snM1TkuvjqO5JPwB30EwwEuXL9eEkbYaGqm//b6JQKRQLFvVvdBIzU21dRlNNU5QJKf/uMvoSoqoijynp96mM//+VeJJ7Il5c3ZtO2IhpttiqwgGXzrLiausbS2RFeig9HMVJmvaaOfxb/0fb+LKIn84uc+wvE9w3zydz+LKhcCZSxdXELeF2GgrZ+OB3p5PVAuE9SDXKsHdYePv//YF/jRX3svj33mGaaWlzh8/76y6/fGS6NcvzDNvb95P0/NTGKXqcf4jm60dULNNGuzXvTfylBeXELc28zoG9dKMnk7ZbyudkIYyz/yqcc4MTRURk5EUSTUFGI2X7g5OndumEYkgZ2Hd6DKKrIsc3zPMIIo4l3XTFiZX5yeHyXUUXigGOfLnJLkdHKUQx1D7Orp4b3tD/LyuYtklrJMrE5ydO8wjz15irHMFFJgQ5NiZUZkPC9vyEculoMma22O3YvejQBeBlEk2XkJgOjMblRJItl5BrB2AjfDSDCcyjjBTRAB87mZNWZuhR83RMO4z2z6Vw0qJcjbrNCYqqrWbUIF1mZ+brXCbs7HzTP4RpmMALR1NTM5OkP/YHdNx9v5X7hZ9d0K76FcJs+fPPlVThwd4cE9m9Mf4z0kZ2TyqTxXgrN4fB40TSOfyvPCzHUePLbXoZbyOhup8TD2UZVV9nUO4pE8Db9GjZrbdrbttcJOWO/d2U33jk4yqQzpRJZMOsdQZ+FeeePqRLFcaVA3jVw6x8j2fpraoqwtJ6oOP2uFarQaqqoSW4qTiCVRZBXJ6yHcFCLaGuasVBinxFqSv/2DLxSjjg3u34Ysq+SyMqs5rWw83YyvOXqelamXqmhl0dqODY0QX0pyZLA6bYabABtGLF5fKvRBVnns/zzO8d8bpqkjSmB7mMH2HrKCwpnHzjLzCz3M0FiiAYV3+FhqnK//8/OsLsZ5+YnXaelp5uJzo2i/+C5Ej1g8J9EjoooaUlAqew9XMstuFOmoimy8vjCOP+Uv2XbLfKoxUDMyyhsxpm7zgslpx+5l0IhJYBQe3Zqi6A87n+TDF/CV7bP6bV6VNrZzen6U1xfH+ZF738l3DhSITSqRIhnPcPbMs7wwNsHRrh6koBd1MVMIaRuUeGhkt+VquZyVEWyERaeXqlO4Wyc/CgAxp4KioIYKD9FKpMZYp5W5lNvEfG5gJjOFcLqF/B1uxsMKlUyn6hVejC+HG60ZaGQkKh12+WqM+UJqibh1o8bFjVATbYkg52TyObm4+OAWblcyK+FmaZGUvMKpsXM8cGh3w+eO1XP+QMsga4txrrbMIXpENE0jG8vyzJWrnDgyYlHLRl1WQRwaqW0xQvSIXFiegKWr7OsYLJjX+CXCLeGbqnXR4RS1p1bC4XSviKLI+enpMp+k7l3OBH01laFN8nBtfIYrz8/TvasTURQtCUIjzcCW51YJTEwy743Q1BrGH/STz8nMXVvg3AuX+MNf+ITlcXJO5muffgpfwMt3/+g7qm7Xqe8vnL1Aai1Nei3F8tQKrf2twMYz8bI8y+rEMp0D7WWLRpWem9Vodb7w0X9h50O7uPrYZaQcTF2eIxgNFp4FT7xOPpPne37xXeSGhE0zXxx+2xDKjgTjj03w0A/cy5PbFhn926u88FfP8eHffj9QCBbx+D89R3Y1Q2YlzXMrMyV1mK0Q7MhHvfLmraR+WwTKKyuIvUHkaMGFxphUTs/gWE+kH6vJrtdvrq9a5ymnMsawcVZmJUbhy2hrGIqEOD89TdP2Zt6x/TCqrHLyjVEQgLiMtphliUWOBztILSSRgl6kUEH7kU/kuC4t8MK4fRZXcBaMzdqCSsK/mAPV5yPdfNZRiLeqx+yrYZUt3knwr0ROaiUvdgJINdqiRjqLN9IvwwkFMwA7RXN9sOt3tefzzRQB0M3zxIlEbHbOlUpQFZX4UgJfxIfHX/mVWo3gYXXv7A5sY/7qAhO5WZ5bmeG+/gFESURTVE4cHbGN+mSu0yq4SKW+Wa2KOr2TBFEg1BFCzsqMJq5xqGc3qViKTDJLqGnrmGQbo/fYRfIxYrPIiB0CoQC9O7u5noqhziosTS7x8L+5ByjcPyuzqyh5hXc8cEdNfTL3K5PKcX1smmw2T//QTkbaS+3xVyIBBAQe+oF7uXxuEtEjsroQQ84rvPfn3sVff/RzvPOH7ue7fvQhwtH6tUSJtRTx5TgvnrlIPp3DH/YTbArSNdhJOl7IEq4/EyW/xEjPIKlYikhrud+mUfaoNtKlEb6gj1BnCAR47iuv8MqTZ8mmcnQd6Wb3nUMsTC6SHlT5xvjVms/fDTw7I2R+LMLTrCDiwfsDO3jh78/AL/8VM3NLjL10GSWvcPvP3kmgNciJttL79Ub5cdXkIH4L9cHq4mb/8jKeO9qQDrSUCLrmCWH3v9Z2zXVY3YhOQp5xhcZsT2q34lLJPEaHnkDL6hxVVeXk+VHIqtzZ2Uc+XYjCIvklcqkcR4ZG+LvZVyz9Baq5uSoJ6cH4YVBVvPE4az1XGLm7tK+VSEA17VqVN0bRsqvPTSZzKziNl1kwsfpfD2pxEm8UYgtrZOLpiquNNwPVajRupBkVwOlnzrP/jt1VaTaqfcmbn00304RK0zReuPg6okfA31ydr4qb55D5Ptrt7+f01ChqXiEXz+IN+xA8Ih6viMcv4YuUOx83ok+NWDBQ8gqDYg/+kI9AJFCzZmMz5nQl8lAPuTCjXmdwOSfz5AsvMdI1wNvecpSm1gi/92d/zbvvug+P11MMs+uUh8PcF+P2+aklZifm6exro3tHp6VJ6erSGotTywwf3gkU7oPHPv00/99//TtC0SDv+uCDfP+Hv6Om83v50hiHd+5kbTlOfDVJfDWJKMK11WWCzUFC0RCvLxfmaT6VozMeZeDQjpJnwcrsKplElt7hbssQ/G5yhpn7ZMZX/+zriB6R8D2tiJLIyV/4Gt3Hehj8N0O07S6kLnAra5gJe70EQF3OIj+9QH9bM+/8dw/yl689hdhmL7u7TQ1gfg5U4yB+8/WY32KwupCqoqItZBC3Fx5mxlVuY3n9fzX29XZt6rB7ibghGlCafMiJTDgl+zPCmEXaqNEx4uT4OE9cuYIYkHjotn2cyi1y2rNK+0gH4e4wB3bs5uy10pW2Rq2uWwnnYi6HJopgMp+oRFQq+WpUalfHiaGhqrUXlZIDmsdO/ziVc9pWD8yZxTcbuoPjVkM9plM3KpqT5JPI5+wz2zYCxueBWcNzo7U96bU0AL6m6hfhKt0n5v17Izs4ff0SwbYg4e4IwY4wucT6WAsC3vDmZQOuRvhR8gq5RI5cPIumbqxlaoqGqqooslriFF0J1WZ/NqORWop6E8814j6UfBL3v/UuIm0RZq7M8/pzF9ndsZ01v4ySV5i7tuTYByOMY5vL5Bg7O8Hy3ArDhwfo3dnNq2OXraoBQNU2nEv+4X9/kU9//F/w+iRGju3i+37626s6J1VVia8mmLoyRyQp8oV/eoKV+RjBsJ/hQwMcuHOEzp2dRFojvL48XtRi5lMygbC/xEz79Pwo0bYImXi66KxdjX+f2zDbieUk0bYooY5wMbRzfCpeNdHQYfXOrRVimx/fd21j4d4o171LjkQDqChXNuKdfsuMagtAG0tAREJsKl+VMgrbZuHQTqVtPtZuothFsnJLNIzH6GWsMoBbwVzWXL9be2Lj9icmrnBiaIh5OQaaRi6Vw2cIM1jtKgOU+lXoMG6bfBzEfB7Fb38zB+OHyzKB67h46kqJD4W5DWM5p+vv9DCwioBl5TfiFF7Z2I7xweSk3agHTkLjZq9kq4qC6N1aZOPNEpDD6/OQy8qEyq0XbOE2l4cOcxbvzQoUUAnpeJpHnn2MB4/trWi6VA3M9+HhzmHknExiJYm/yV8U1P3NfrKxDEpWJtgeBG09uEGDfSHcChpyRiafzKGpGqLXg5yR8YY3nr+iVwQVzkyN8pbWo9iGxLFBraFarRLIGbe7IRrmCErVYDOIviiKNHc2sW/PMPmczCFphFfHLrNjoI9/+Zdn+Pb2e4pl3TiUryzE8F6+SqCjiz5DAkK78j6/RCaZZXlulWe/8gpf+D9fY8fuPnx+Lz//0R92dT9kUjnWVuIkVpMkYkm8Pi+RlhBz+QQDR3YwvHdnsazdYuVwpB/RI1ju84f9JFYLUT2r0YC6vV6JlSTL3gR9NHN8+z4yv5nBF62sWaxGcG/EO7Wa4518g2/5bLyJYHfRlZeX8RxtLdmmC4G674YbNZuVKqzSBNHrdBv9xhxZxy6Sjp2waG5PL2sMbasLE0Z7YLeRovRjQp1h4tfjtO5qtXTYtHKK0tswj625XaNGIpjbi6CqpFrfwEpRGIwfduyvvr/wHXdlDmU+V6u+OdVhPC9jnU5RKPTjzP5D5uOqfSBZ5XkxbjfPoxvht6HmVaTA5q0SV4taiIYbwczJ5LFWiB5PcTWxkbDKeA6VhYjNMrPKJLO8NnmRE0dGXK3Sy1mZfCJHoC1oK4hZ3TsH23YRm18DDcbTU6XCu0ck2BFCzSugaqRWUjw3McE9AwMIQsFfQpREpIDkypdE70MlP6tCONuNPEpqXkHOKmiKii/qx+P3oKkaT49d4aGefSX9HU9Oc2TbbgRRQNM05JyMIApI3kL/nPIqWMFtOWOd1RIGnWTcCKJR7b1uPC/9u31bG+Nnr7F7Tz9NbZHivkwqx8zEAmgq4aYwkZYQqwtrLM+tks1k2b57iG1t7lYJQpEQO/du5yt/9wSf/uN/AWDbUA8/8qs/QKQ5bHlMPiezshAjGUuSSmZR8jKR5jDRtgh9gz0EQj5evjRGuCVUPDcdVtm8T8+Psrul4L90YO9gSa4ugHBrmORqEtate5yeBU4LHnZz7J+jEfLpfPF/pMd57BrhZ/tmRtV5Ni6lrm9WX76pYTdxVEUt5Nb4rv6S7Xb5FnRU0moYy7iJZGWV+MZIGqwygNsJgpVMGeyi7+j91H01jNusNAxGmIXmE0NDyJk8sckYzTubeeLKxhhaaX/MdekwO4gbM3wH44fJBV9DzO8GG7ObdPSMiVBsbDeXM4fL1aEfZ87dcfHUFUfthh3xsAqB6wQrla6VL0wtsJsrToR20zUbm7A6XA+qPd9KvlNW5RsFj1iIjFQtKmk3rEiGG2zGXMmmsrxy5TzBtqDryFNKVuGZ8as82LavZLuTcH+wbRfxxQSjqev4Ir4SoqFDEASeuTLBPdu2428J8ODxfWh6QlVVQ8mrZNeyiFIef0vA1YqzVV+UvIKSVVByhY/oEUAQEAQKhCYoIQWkjfpFuHvbdjRNK2lzONSPP+xfjyaUJrGSRBQFHv62ewiECtphMyF2ynLvZu5WKldp/43UZtQS+MHc/wfecozVpTUmLk3h9Xnw+X3IskwmmaWpLYrk9XBtbApFVvEFvLT3tnFfl8QFTxXqSCC+miwSjZ//6A9z37vuLNmvqiqJ1RTxWJLEapJMKks+n8fv9zN4YDuhSMC1uaqdZmM0c52eaAsrs6t07ugoOSbaGuGls6/TPtLBsT77CG12qDS3oi1hFlc2NCdm1BrMx3z8ZpV3W2ejULVm45spCspWgHY1CQEPYsRbRiqMgqBZa2En/On7jd9OsDOlskMt19/cDydSoo/Bh977kKWGoZpcGJG+KJ2rUa6tLBS3GYVku8hQbrbpCMWGUdcTwLmNXGVnUmWuQze/2ihfXr9b7YY+bm7Hzs1DptEPtq3ybFFkFU+Dw5feKNhpNKz2mQX8RiQGE0QBRXGv2bAKLFEJVnNkMzQYVqvM6USGTDxDoDVgSzTyyRxyRsbjl/D4PaSX0nh8Ig/evs9S2Dfea5qmocoqSkZmTYkTiPjxifamGYIogKLhi/qR1rUXRk2Lxw/esJfMSoZcIoc/Wp1viaZp5BM58qk8Hr+EN+Ql0BKorM1Z55uaohUiuWsF7c7F1CS7sr1kUzkEUSDcHCKfk8lmckWyYUS9RMOpDrf7q0U9ZlONev61tDcRaQ4V5ms6h9cnEY6GioEbegY6yWdlguFCUIMLVdafy+b5bx/4GADv/y/vKRKNVCJFfCVJPJYiGUvh83uJtobp3tFBpDlEai3DzMQ8kabGONsf6dpNfCnBtnALMeSS54AoifgiPjKrGU5L1s8Hq2vvZj5cH5/ltaff4K5fu9exXL3CulsCsdWJBtwyo7qpUFMymc9PsjLsJWkhIBonUCVTlWpjptsxbjvNRbUvcqMJFFj7HJjLuIEVCTHXrZ+XKIpMSUukZ9Pgcb553ISOtRLUVVFEUBTbY81aDSuNRqH+0qhRVuZXdon5rPpbL9yY4Rn9N6qNiubkL7QZhKMagVZVtS2l2agGuhBmjhJnB7u8OLXCI4koVZhR1dKm1bNoMzQY5jpfGj+LnJEJtAbxeEtzIamyiqao5FN5NFXDG/aRXcvyjcuXuaOpG1845CigK1mZ4eA25JzMxdUJDvfvwR/2cW7FeeFCCkgIIQ9SULJ9RwiCgL/Zz8lXLyKEPAh+j6v7VVM1MqsZ0DSCHaGq7wlREkkvpUAQQCv4caiyyqXlSe7cdwg5J7N4bYkriRneIh8gn8sDgqtIZsZ5oygqnvVcI7lMnmwmhz/gwxfwomkaiqygKhqqouLxeshlcmQzeZpaw3h9jTOXbKRvRrXvXivHb0mSiLZEiLaUl5ckCUmqXfz741/6JCsLMR743nu4+9uOcfncJMl4GlGEcFOYa2vLvPX4gbI8XL6Aj2w6W1XiVCtN7cuXxorjIudlLs3M0D1YyNFlHDt/c4BtWjuLJC0XJOzylNg9l04+/Qp/+5ufITOXYtuJAcKd1iZjjYRbeW6r4xbZuIlQTq+Qi4gk+zceeFbmQNVoKGqddG6FPDdlrAiS0e/EqqyxnDkKlxOsiIZRmJUCUsGm2SAb2Dnc29Vvh3T0DMHcXqRs1rmMgWhY+3DEi+ett2cuWwuBsDIHM++rVK9bIlEN4XAqZ2e+Z1WmGlQjCGxGUr+bAbPWAjY/FK4keVBk2XV5Jztps432zcDp+dGCELuWRZVVAm3BMqFbycpkYlkEATw+D/6WQCHyUl6BtILU5cUTsH7V6sn41LzCJeUaUkAi1BlmLDcFLoJ6CaLAgwcrm4iIHpEHjuzh8dcuFrUOTlAVlcxKhuemr3Hi0J6qHeD1/BpQuJ8QCn1Q8kqB/IT8+EN+kisptue7mL+2xPLcKoIgEGnaIDa+gBfJ50UUBARRKPRDALTC6nomleXVi2McGR5EVTQkrwev38vqYqxIej1eD6IoIooC2fTGoOaCPgSh0E42nWVtOUHXtnaymRz5nIyqqDS3R29oZDqr9/BWCQ5xUEiRyeT4n397imcffZndRwe59zvvIBlLEW2L0Luzq6gpWbqUKSMaAIGQj0DYz+rCGm3dLWX7rXzKjM8I89jIOZm1hTU6thdMqMzj52vyceHCFVpCbRzfXmrCaOe/ZsbY61d5+YmzXH5jktnZJZp2NHP0J4/fEKIBN4dINFqrAbfIxg2B1WTRNA319VUS/eWXwMlp1w2snJ9PDA2VJArU69YnVb2mUZXIjpMZmDkyUjXt2uWe0JFdyeALe8FG+eDUnlMUKShkDVfEc3jEPY591omDTh5SJ+4jdPIpx2P04/R+mKNV6bB7KFQax2rMqZy0HPXapdrB6Ndzo02rqll124owajfM4TadSEcjzKiC0SBTl+foG3Q3hnaO325DZW82dDKgqRqB1mCJdkJTNXLJHE9dGOf+w3uKZkwA+XQOJa9yz8AAgdZAURNinM+aqjHk7UVrg8vKTMMiWtndix6vhweOjvD4axeRMwVCqMoqcjqPx+fBG/ahZGUEj0g+mUPye3jwcPW27mYYibtZIxRsCfH65CjeSYmObe0Fk6rpaZo6o7yxfIW9TQMossqhXTs5M36l6JQOFIhFwEtbbytXVhe5Y/8IHgMRVFUVQRBKxjWdKCSAW1mI8czLZxFFkYODA4jrvkZz1xbxh/z4fBKqBovTK7T3tOCRSvttBaNzeyO0HHa+jdXA2J967u18TuZLl5dpW1lkVxg+/DP/hh/+4bcTiRhzy6hAwZneSbMabQ6TSqQtyYbxGDMZsBqLhclFQtFg0akcCuP2see+womhocL1HdiDz0KL4/Ya/fmv/wPjZyeK/9/x0+/EG9w6AUTeLLhFNjYZto7hUynktRypI+WJoCrlP6hk4mJs06hlMGsXqhUQjcJftT4iZnMqY/QnJwdmHWaTrGD8MDseiJeYHpnL3j8wSHo5zWvqMg8dGHF0BLeCUdhPR8+UtqWqeNdU8hGRXPMoILrOc2EmGnbJ9ozmVE7mU1bX0+yvYW6vkv+Lnamevm8zV1v0eeaUbX4zochKXSYGNxNm4d2ts7jVKmItwklTa4SJXMH5VPRV7/y5lXB6fpT0Yop8Ok/T9mYEoRBBSckqyBkZJVvwyzhxbG+ZJkxTNW4b3sf51at4fOWCqpyR2eXrRRRFRnNTdRMNt4Tf4/Xwtn3D5FOFKDqiR8Df5CeflkkvpfD4JZRkgXz4qvTvsEIlQVmSRA5sH0JTC4RibGGOVUUFBG4zrERfjS3S1BG1rEOf46+NX97IGZHNI3k9CIJAJpUlthzH65Vo625BVVXG5mdp6oji9XuZysSKdd22ewhBEIoC7+riGquLa7R2NVdFno2/q53fjSDXVgsMtSKTyjF+boJwNMidd+6i6Z6jAFwFDlIeDti8oGEmHP6gn+W51Yr9Nv83jouck1m6voSSV+je1VVWj/FeuKrMciJ6iGTFMy1t9/ieYf709z9dJBqBaIAjP3XbDScaVrLWjWqvkaj6jboVHDi/GaC8ukKyRwIbO1izQGflEG4OP2oOS2qlfahlFdoYptYKH7nnYdt5Ye6HUbjV/S+MQm+l1Xuj4zQMlhENY4Sm5EISb8iLKJdO82qS38GGZkInHEb480dJB+y1H5VC3xrrtuqj0Tnczu8F3OXZqBThzKpec921+GjUgptlOqCHbd1KZlTVCC1OL2vjfzcmBLWshuYyMqJHdGV3b2VnvtnEw02oXB1yRiY5nyTQEiC9lEYQBdS8guj1IAWkYs4Ls/ZNUzXkjMzZ2fGCs3daxhvxIXpFMoks6aUUe1t3EmoO4gv6EObr12i4iU6owyrLuNvQuNXAzb3r8UoEo0GUvMzjT75CS3cz5xeucHvzAZanV5B8EpHWsK2/SC6d44VzF4qhc7OZHLHFOHJeRhAEQk1BUvE0V1cXSa6muMM7wqmzlxA9Al5/qdBoJgovXxpD0zQGmzsKpkKt5dGaqrX5dwMrU9J6tRy19iedzHD53ARt3W30DnSWOZLbEQ2ntkPRENfHZ8jnZMfnhBVp0TF1cZpQc4g+U4ZzK18XtUPl3NlJeoa7CITKF3etkFxJ8tlPP8bC5CIAR3/8Nnrv7G9oPp1asNkLfZv5Xq/qjfr6wtZ3QnkzQJVV1NE48X6PbYQgtw7hxgRrxvJOORPqhV1uhEpt2IXwtTKf0omT1bnoAvrk41FLp+mT4+O8paOf7GqGlzILlv3Sx91u/M3bzGRAlMGfGSrZHowfBlWFdYHVKdStGZVIiRWqvaZuNEiV2rAKg9to6FoNu+2bSUBUVXVlMnGjUUkIr1aYcCvUV5v1WNNUuyjQxfo+8fSjlkTjRsBu7pgz1OdTOVbGlzmdXiTa34Qv6sMb8hLsCBFsC+INeW0dvlVFRdPA4xUJdYTwRf08eX6MvlQrU5emGY5so6krii/oK/apUXPaSvtYTXTCGw1fwEtzZxMt3S0EI35y6RzHBveiKCqapnFszxBri3EyqSzJlSS5dI7UWppULMXawhrx5QRDbYWV7YM7drA0s8KFqev07uyiqT1KMpYiGA5wz5H9vO3uI7xw+jz7tm8jn5NJrWd/12GlDRAEgaa2KMl4mkQsSS6bR1U3AiDUGs2oFtxooiHLMlfPX6ejt0A07KA/I+wWNsz7AyEfzR1NTF2erdhXq76rqooqq7T3tZUsCtkteIqiSLglRHLFnW5j/soC//sDf8o//L//yOmvvg5A313bbjrR0LFZ7+DNfq8Lmoug6GtrazQ3N/OhR38Wf7h+1eq3Cuwe7vLFNZRvzOH/idKHh1PCNbD2xTD/tkMjbOurtaM3r7rrWgyzRsPKWdmOMD3yqceK/3WNgJms/Pi772d1fIXX5GXEkGQ7PsbM2VaJA43/zWQoOrML1eNBDQY3tBPh14jODSPIMvlIBFyY4phNtcyoZFIH1QsRRu1QLYTDDcw5W/RtNzMzeCWcnh9lJLKd+cuL7Di47ab25UbAjSahes1GjguvjHP4Lfscy9mt/t4okyqneXhyfJx7u7eTnI3TOtzuWI/bZ+GRrt2ossryzAqZRAYEgW17+xz7ZnUPuYUb37lG4kjXblRF5bWZSxzp3o0oiZbCWT6bR84r+IPl2pV8ViYVSxFfThBuCXHPsQOIosBTL5wBAQJhP8lYCq/fi9cnIfm9+IM+1pbiHBnetR51SqWtu4Vz169xfM8wcl7BY+jLVx9/kYM7B7g4PcX5lQnu2nPI1fkd3rmT5bkVFFnF6/fS2dfmWL7WeVwp35Xdc9Utqrmfr164jqqo7Dqwo2xfrb4pxUhSu3byhc8/ybe/8y1Fp3InmNuZPHedroEOAgafEbukw0e6dpNaS7M4uVTxua4qKn/5n/6WodsHSa+l2XvvCJqqsdbnIlrDDcZWCHWbTWZ55J1/RCwWo6mpybHsm9Mw+U0O9XwMcaRwYZwiBjmZzJj9MqzU6MaytUxMs3bFbdI+4zHmeowZuq0IlVUWb+M5GImFLpwbx3D3bQPEr8cJtAQQU4Xp/cinHuND732ohKgY29MJkHGb1W8jIVC9XjyZDOmWi6BC1vMavlhhxSvRfhVvRkWUD1ckHOW5NNyj3oeNnrXcTTtuH0ROYUndko6bhcJLKbWlTKhuBGq1LbeC5JPQNGxNJJxMtm4U3Mw9QQRVqRy2qZp5LEoiHdvbUVWV6+eniS8liLaXm+a4uYcqoZ7w57Xg1JVz7PL3MeTrY20pjqZqeLwe/EEf/lDB3ExTNeJLCSSfRHotjaZpRRMYfc1TEASa2iMIHpGXzl1EFEWC0QC5TB5FVpnIzzESGliPFlUIZ+v1Sbx6sTB/Du4cADaEWrPwHmoKcvbqBB7Jw9FtzoE9jDhz9SoHd+wgFU+Ty1QWPBvpJG712wi35lXVEI2l2RWS8TQjx6wXo4xZy90SD2P7kiRxZM8uMqlsCdlwmxPoyJ5dNLdHubq2BFQeg1BTEIDUWrr42wrjL18mm8py3w++pcR0byu+r95s+NZ6q24BqHkFdTyBuL+5bJ+THb2Vk5CVOs1ILKq179OPtSIn+n+7rN+VYMwBov/Wz1c3hzLD7PStw0hOysyPVgqOj88nZotEwkxerI6zIiLm9oxaCNXvJx8M4o2r+GIq4dUh5KBIvPcyu982hOoREKsIAWpGMH647nwZlcL21kJwqoWZoBr9f4zmIzdbq6FDVVTESgnLvolgtlM3f6qFKIqEo0HiKwnXx1hFn9ksVBIadAFc8IhoavWZ0N1AFEVm/CssTy+TWksh52p/TlQDO7+/eqHkFXKJHM1dTTR3NdHa00JLdzPBSIEkrM7H1jUaBX+eaHuEaHuE1p4WWnsLn7a+Vtr6WmntbaGlp4XmziaaO5uItkeItBU+oaYgd40cpqWnmbbeViJtYUSPgCh5CDUFCYQDnL92nadPvc7KfIzhjm72N+8szis5v2E6dW7ucpnPRiWcnZykpaMJVdXI52Q0TSOdyJDL5svK1pNB3O32WsJ/uzGLzOdkpq/Os2N3r6tAGUbiUekeNrYdjAZJxEpNm9w+By5cn7JNHmpH0MKtQZKrzqZUF58dwx/2c2bRPtzuNyM224QKbplRbSqsHuTy+RjK0wv4f9z5hnLKJm6GU+QgY5lKfiDmY6s5xqkep344mS6Zj7Prm/77vt7tPPHsGzxw30GevD5RVod5TI2aCqvM3WZYlRFzKkOHdzB64XpJmfHHx0EEOSxa5tkwhr81m4KZNT5WYYudxtR8vtUeZ1fWDCfndDfajK1CMIxYW4yTXkvRvav7ZneliM12nLZyFq9H8L8+PoMgivQPVh5DozlVLefodlW3WoFBlVWWLi7SeaA80k0tsOrj0tQK6bUU+Uwej1fCG/DiC/rwh7wEwgEkk2boRgg9brUdmqYhp/IoOQUlp3B8aD9+iwzgALlMnuRKEo/Xg5yTaetrbXS3SyDnZeScgqooZJM5ju7ZxYXpqSLREASBS2uTBNsKzs3VmiHFV5Ok4ikATo9d4dCunXT0thYTBDbiXrUyBbIrU6mc1Tk4YeLSFJqqsXNv/aakTg7ja8sJZibmGTm2q+wYK6d7I9rVAKFokGvJleK2SuefSWWYHZtnx8FttpHFxl4a5zP//fO873f+Ldv2979piEatiwb1koxqzKhuaTY2CVYXX83IKM8tIu7duCjGRG5GuLWldyMw6knynEKoGTUadr4ATpoPM6xIipXfiFGgdgrFam7P/FC5f3CQxHSctx7dY0k0jG2ZNRVm2CXfMzqk73igkIhP9YmIEW+Jo/nFU1fwp0fKkmcF44dJnbgPKA9/a4R5HB751GPruTasNRW1hjJ2e4xxPlS67mZnVyPpMGoztiLRgELY2zdzjo160QgNQ7gpxNpSvMSR1gpmB9JasGkmeSJoGhXPwQ3s5np7fyvb9vUzcGQHXbs6mJBnURWF2Pwa196Y4uvfeJapi9M8ffoVnr9w+oZoQOyeB5qqkY1lSM4nSc4lSM0nkTMyR7ePcPf+I7ZEA9adwLuaEEQBySehKipLU8ssTS2ztljZjNMNjHNA8koEwn5CTSFaupu5NDdLLl3QPgiCQDaZZTiyrRh5zi30+yLaEqaloxl/0E+oOYTH4ykmEHQ61qgBqAQ3Wt9atMKV2k6spVhbTtC/q6dk+0Eh5boNc3t2baaTaUvfHR1OmpgL16+XjLkT0dDnRiAUQPSIpNcytm36Q4Vr2runcP7m67BV31s3InBLvbil2dgkmIUyTdPIf+4ayBrSe7YjSuV5GawEbScBXIcTiTDmpNDL2gmntbBjtxoSu21O4XkrmYMZ682sZkgvpnhVWHE1Zla+Mvo2XWthRTj0cbSqz9jm6FPjhFeHifdedhX+1qm/1Tp0u4E5ZLKbAAN6efO2SmjkA3qzQ+IuTRVsgNv7nR2DvxmwmWZLF1+9TFtPC5295Y609WozakW1pGTh3DztIx1lPjxuCE4j5mcukyOXznH6+ihKRiafzOGN+Al1BPGG7IW0zUBmtSCg+SK+YgjgY/17bSNyGZHL5Mmlc8g5uZDDxlsQznWfjdbelrr6ZhXu1A6aprEys8po4jqBlg1fgWo0Asb5m83kWJpZobWrueh74CbSmtt5X29Sv0r9MEJVVS69dpn23jbL+7YeWI3JxKUpAkEf3ds7bcvaPSeiaZHOvnYuryxU1Y+VmRVyGZnuQevoWl/82KMEIn7e8eMnXNW3FTUf1chxN1KzcctB/AZBObOKOpPG96NDJUSjkvDoNhqRncBYMMk5w8VTG87ZZuHfqHkwbje2YzeBrdTuVon/zGWtSJFV/8znagVVVUkvJgm0BTnRZq3tMW6zGntjAj0ojw5lTCJoxMjtg0w+HiXIYSYfhw/+WFehHQ+FpVFKNSXGvBpmEmKOfmXUxEw+7pxJ3A3M4TDNmjEz0bO7Dm5MLRpNMIyrS3qY0s0gHKqiIZmyHH+zohEZw+3QO9DFtbEpR6FlM4lGI5JBCqJQ8OGRxLK5ZhcpqpFz0hfw4Qv4iOQLTuSqrJJaShGbiOHxigy37eByYhpUFVUFj09ECnjxhiQ8AakqDV0+mUPOyATbQyh5BTWvssvXy+XcDFJAQsnKhDrDRXLh8Uul2dQ1jeRqCn/IV+YLkUtlyWXyRFrDeANesqkcmXiGfDaP6BOJLazh9XsJRgM1hRetZswFQaCtr5W7KJhymXNZ2MEqWR+A1yfhD/pYmY8h9UslQREaEW2tnvlU7b09c2UeTaPkntU1GuZ8Gm7gJufGsJYuhig5KGwkCLRKRmr8n8/mCYT8sEJVCLeGWb0wg6qqZfdHcjXFpedG+cD//CHX9dUTMe5m40ZrQr517QVuINRkHvnL00gP9SIGpaqSq5lRjSBuNNEyCqjVmEC5KW+G3YPbrp96rg1zm0Zh2MmEJzEVR/R6uHvvkbJj9fO382nQP1baB6s8GcH44ZLtxutnJCdDdw4iqCqoalnEKTutibFPdoTCKieJ3RwyXn8rkmA1pmaTNyu40YQ08sFbST2u/25Em6qsIG7BPBtvNjS1RVDVQvZhM26EI7ibKD6VIIgCB9oHKx5fq2ngx577iqvter2iJBLpjtA20k64O8KUtMSRgT34W4IE24JIfol8Ks/atTVil1erMhPKxnMoeRVVUcksp9kT3saF5QnkjExmNVNGLsznms/KZFNZsqbrrSoq+axMtD1SSGAoCATC/oKTd3/ByVtP6hdfch9UoFFQ8gr5dJ49wW0kV1Nl/a9kViiKosEUSCs7xmwGdCPmfi2mkDuTy3z6hcdp7SwErjkopEpMp/Tf5u2V+uGESFOI1dWEZZ1WEa70+lRZRc6rxUSO1cAX8OENeEnFys/h1BdfZsfB7XRsq02rvdVMrMymVfr/m2VydcuMahNgFMTUjEz+7ybQ5jJ47mzH+2DBFtDOGdgMp31uzKDMZMOtA7Z5Xz2O4ma4NdkxH2O1PTGXIBvL0rqrlScmrtiOid04WAnqRi2EEXp5Ky2FsYyOqS+JZJpGkUMbnN7K+dwql4f5GtlpY5zOp9LcskIjHkL1Zrs1o5rcLnr7tWJmbJZIa8QyJOk3KzZLALp0+jKdfe1FAcYKWyGvhg7jvFFVlWvnrtM50OkYKvNGohoyvTK2RLAzTKDZXcbkxGwCQRTwRXyMRHfgD/tJLCc4v3gVb9hbMJ8S7MlGOp4mk8zi8Yg0dW6YU6TW0qiKSqQ17Ni+pmkF/w0NBAEkv0QgHLDNHN4IrC3GyWfz+AJeRE/BeV2PlqXDzb2hadq603ialo6mwoq7C2zG3K/lXt6TX2NmZoULsp+mtij3tFbWLtWi6TBDVVUyp86yZ6SPlpZQsd5KQSqeeO41+kJNxINqsVw1Y7k0tYSaV+ncuWFKpaka/+t9f8J7fvm72X6gNsf4rR7afTNwy4zqBsNJeJa/PA2qhufeTjx3ljPmSpqNaomBuV43WaPN7FeH2cSqEWES3YTltSIWtkRjNUPzYAuiJJaU0W/4j9zzcMlKoVO71WbxrlQ+1TZKeHEIOR/GMa2yAW4icxkx+Xi0LN+ITmis5tbk41FbvxMnf55qsNkP2s18mOcyhRCduVQOURILn29ih/HNXGkNN4VJrqUcycaN8t2wM6myIsaZVIbl6yt4vJJrwXEzUe1cP9K1m+nVCHJO4drcAoGWAJLf/lWvyiqCAGgau3y9BCL+4gq/5Pfgj/qL9dpBEAomZ2OpKe7oPFDcrikqHhdmiYIg0NQRRc7JaFrB9Gp1LoYoikh+Ca9fwuv3NpR8iJ5Csj/JJxGMBsll8rw8fo5gPsTRnkIODjemhoIg0NQawSN5WJmPEQj5aelsuuEZp6u9lw8KKRKJDLPLCS7IfgIhP3e3uD8WNkiH8b/RHMoJoigS7+3l+vWlItnQz8Oczd14biO9vSiKSlxJ1hSpL9oeZerCDM2pHL5136fkapJcJs+2/f1V1WWG2Wn/m5V06OeXTqRdH3NLs1EnnARw5WqC/D9dx/eTw4ihjYd9NWFtobIQaA4lq9fpVntirNfO/6OSk7ZRg2BeqTdnBjf3uRLMJAJgZXaV+GKCheY4x7fbZyvWb3Y9j4adxkCHla+GOTSt2bzKKoQuwMUXx4nODqF6vaiBgG04XSdndXMZJz8To6mX/t9YfvLxaDHkrp02xoxaSUejVcrVZlWutf1LL44VhBpRQJVV1HUnVtEj4JE8CKKA6PEgegrbCp/1/6KI6BHxrBMU3bF4MwlLvWFxN5NszFydQ1FUtg31Opa7kU7ilbAyu8rqbIyWnmaaO5qqTvC4Wb5Eet1ucahjiPRahtRqksRqirb+Vpo7y1ceT8+PspNuvAEJX9CHpmp4/V7SiQyvXD5PsDXAbQ7PVx2apqHK5cQim8qSSWSJtIaL+8yJ4OzmsKZpKHmFA9u3c+qNS+SzMsGmIMGIO22NGyh5hfhyAq/fS7glVNDmrE7gi/iK19HpHjGuwiuKSiaVJZ1Ik8sUfAraulsc22/E3LfqXyVTp3xeYWkpzht5Px6viJJXub/fX9NzSicYTvvN0M/7yK6dJF98nTvuGOKS13llXMf18Rk8HpHend01j9/2cCsLU4tsH+6nqS3CF//lKT73P77Iz3ziJ2qqrxF4MxETI9n46dv/wy3NxmbDSWDWNA35sVmkt3aUEA0oFxjdwI0NfaUQum5Dy1arwTCWr5TTwaluO4dy4yrB6flRRkLbWZ2NsdyWKiEaZoFU/39yfCPzuNHcyNxXK02FFUFwSoZnJAUjdw4x+vQ44eUh1ID1C9KJaNiZeTn1145oXDx1hSCHbY51Dj9ZS6bhRgtd1dRVT7u+gI++PT34AoUVL1VVC6RDVpFlBU3VUGQFVVHRVBVFVpHz+UI5VVvfXiijaYWVXVXTEAUBoUhIBBAERFFAWCcoogCCR0QQCyt+CEJx5VXQf4sAAqIkcNvuYQRBJJfJcXjnTl4buwz6sS6x2fbjqgaCi/7cjMhUZqiyyuzlOVRFpX9Pb3HFs1pspt12NRo9URQJt4QKn7UUCxOLlmRjX3SAl6+c5579R0q2ByMBgu1BjvWNuGpPEAQ8Xk/ZM9gf8pPPymwLtRBtCRNtLZgomcPAWs0BXetwcW6GaHsUJa8QW1jDH/Q1TMPh8Xpo6oiythAntZbGG/CST+ZQZZVMOEs2lUXbrdlqKfLZPInlJE/GzrCnuxdVUdejUuXJpLIV27fKceMWtd6/mUyemZmVArFsCpNN5Xh7X6DmBREz0TBrO8xlz2qhIsGUJImFSCsvrGq0WgeIKoOcVxxDLVvBSGj1cfP6JK5euMbw4QHiSwkiLfWbhtWDN4P5VT3Pt1tko0ZUEsiVl5dBA8/tmxNC0y5qkFHAtFsRN8IpbK6xjFP0qGr769QHc3nz5FZVlfmJRWb9q9yzY+MFab5JjXb+ert2Wg2jZsIpmZ+5rPm/HpmqgA0BPhseIxe1NyWwI5/6b3OiQTvS6OR0rh8fOmm9vxIJrZVwQPUPKCuiYkdezGYwRkfxWh6MmlIapUQURUSfCD6oNdhokbCo6x9ZQ1M1NE1FVbTCqrBS+A0qcl4BVVsvD7BOYjQYW55kV/M2Lue8qCpoamH7lWvXN/osFMiM7tBb+Lt+TgLFDOnXL0wDsG9g2/pxBmHDJqSpKAiolZTh65m347FEQfBymdzvZmJpehlBFOkb7t6yZnN2gkglISUQCaAqGrlMrkiidWRTOY7tsCYUHq/HlSmQ+d7Uf+ezeVKxNIqscGl2mnu3VWematUfr99LcjVFpC3cEDMlXfDMD8mszMc4NznJ3fuP8Pz5M7w8/gZ72wd4ZXTcVrAXRIH9O7aTzeQJN4WQvB6Sa6kC+ZI8aJo9UbHqy2beB6lUlng8w/x8jCtCqNC/xTgPDUbxbmIEPjPpKP5fH1OP5EGWlRLzK/23lRmb5PUgW2RtN8OoObNCa2czmWSGa6OzrF5cpKWnpcozazy2MuGodyHlFtloAMxCtJqUkZ9ewPvd2yrGIa8mt4aVb4Ud0XDaZoQbsmAXUreSH4d5Zd4qx0YlAdYcVjKTyPDs6KucuO+esrJ2dpJ2fdT7ZxUlykgoiuZK0fI6zOZTG8cV6vZmNWSv9RwwaluMdVjBTILMmgqrslZ5Q4yZy/XfwfhhLgiF33b+HPWiGk2H2VTKyd7eWK6eNmGdFGhaWebmelEkLA3ANvoAOGB6gcqXvKiqyrHhXbx8YUNgUVUVVFBZj0y0/nV41040fdP6D03dIBHG32acuXy1WIcZxuedqmquzW43W9BygiqrJFdT9A33bFmiAfaCSKUACqJYyFBoPrdCpKg8YcOKrqqoBW2aKFSVmd3cdiaZJb2W5q3HD1Zl9lQpc3SkNUxsYY18Jo/PISFctfD6JNp7WpDHLnPb7qFCEsNUlkwySz6bt40oddeBvbx0/hJ7+/rpiy3R0RHlisscFVa+DVYr8NXCLNyrqsr168usriTZtr2dUMjPYY/G2Qy8rT+I38Gfp1a4iViln78oiUjjE7x0XeLAwe1cDrYUy1iNQTAcILYUL9lvd30qjWH3jk7isSRPfvFFfvzjH6zY5281NFJTe4ts1ACn0LCaqpH/x0nEoQieQeuINm6TzjmVMTtam6MRVYo+5RZOPhZuiIpV2zrJMBIRO4dw82SX8zJ7OnaU1en0srUbGx1WEaLMcApXq9c3+Xi0jJCoXgEpr2EOAGpHMq3qtvPxmXzcscsABoJBMXs5bPw2btP7UInoukG9EansHHmdytQLVS6Pvf5mwh17C06tlchSveZT93cf5eVLYxXt0WcnFmhtd2eHrWMzfR7ssDyzgj/ktzWduplEyIxKK59W++WcvG62Vzq3s+lcidO1pmmszK4C0NbXWpXmoCSSl6KSiqW4/y3HSvJO1AKzMJlJZVFkheRqqqFkAwor7Hcd2cc3nj9NtD1COlFIZJhYSRKIBPD5vQXykcvj9W3kErljX+G+m5c8jC8n6VrnD24Fbh2678PBkb6aoz1pmoasKCwvJ0mnc6iqRi6b50wCjrcFud7cQTSWJp9X2O/TWLu+SkzT6O9tweMR0ZpbXLdl5auh99u4z8msCqCpNUJTJkYkEuTKlXnY3+LoaB6M+JmdnC/ZZrxH7bQZVttEUaRvZzeqotLcVd2zajOwlbQajX4Ov3nfrFsUysvLkFWR3tlna29v5TBt3l/JrMV8nFkoNa6YW6Ea4bFaHw67XCBmbYx+jlZJAfWP+QERag6hKhrXL0yTWX8ZWMEYFULXwph9Iozjo+fPMDtZm38by5ph1oaM3D6IEgB/chjfioyUUAnGDhb3uzGHMvdRP0539jYjdeK+sr6FTj5V1GLov4377Np2A7scKHamFZVgzpdhVUctZlluIMsyngo5Nuxi2LsV4OsR9J2ObWT7bgVrp3IzV+cQRKqygz6+Z9jy2rrpc63jemTXTnoCTXTusDd3rcWWvpZcB5VgNY/NWj8rspaMFZLtpeIpVudiQEEozSayBCIbmidVKWi4BEHg9Fzle8bcHyWvkI6nUVWVw8ODdRMNI/TxzCayhJpDJdqYRqKpNcKBge0c3rkTf8hPS3czgbCfTCJDbGENVVF48vkzvHjuYtmxvoAPRVYAd0TDDKu8Fm6haRqri2vMXJ3n2rVlksks6rp2Mi+r3NsfpKenmcOeDMmdA2SHd9HcHERqa0UORZm8voIsqwix1bKPm/5W2mZ3PgeFQrS6I0d20tvbSixWOY9HIBQgn5ULWlsDzP4/bhEI+VEVFTkvV3XcZmCr5OrYjH7c0mxUCUencFUrmE99zzZGX5sArKMzwYagXW3OCbOm4ZFPPVaSadptpKtG+Fo4HWPVZ6ffRjiZBYiiyLb9fcSXEsyMzbF9f7/lSq7xWCvfFjsiZjQ5siMfUG4+pf8uC0UrisR7xhFlESmtIWZLnQat+mHXZnkZE9nI5Wj6wpfRRJFwejfppouk/a+BRJmvhtGU6q13Fnxfnlnfd2F9v9nJfDNhJSQZtSOVVrztTK2qWSlSZa3gvG0DpxXuRgjo5rasjtP74GSLXM9KvNus4k79mLoyx4uvnuedD7+lak2RXSIvpzKVtjtBzqmIHpE79u8u6etW0WQYYUe2KwkG/qCP5akVVmdjZNM5Iq1h5LyC4BGK2b7lnExsYQ2f38u4PFPR/BcK7zvd3ErTNFbnC0SmLRzgzNgVHuxr47BnY0GoEbkZJL9EPpMn0LZ5eXAknxdFUXj7XYXnYmw5zidPfoWfetf34PN7ia8keP70eRZnlgtJ4nwSklcqkDWhNqJhBbPWw+7ezKSyLM+tFv9fD7eQTmTYLRTGfjrUDD3dLIGed7BQd3tBDb+wsIack5AMkde05pYi0dC/3Wg9KmkxrKCXDYV8SB6RRCID4VBZGb1uURQRRBE5J5f4ILl9dhkhyzIr6wTcDm6ikTUSNzNs7maSnVtko5EQAFXjyuQsI28fLltBr1Zwc6N9MJsH1ZrIzSmZXyPya9QCu4kviiLNnU28On6B+atr3LXnkG0d5qR+ZpgT9Bm3mX/rcBLCLf0+RBHVB57kfjy5pG3SQL09J5Mu436zVkKUZTRRRPN4QFUJrwyTDVxCUEAVXsGX3Y0mikT+5auFPnk8IMs88+JpgCLpgALxEF5yNi2zgpEkmgmCE2GwI5fm+ozfRjQiDK6qKI5Rbm6UAGpnh+zWltuun43WEFgRjvmpJdaW4nzHt7+lzBm52nrNfXFji10pspX5OFVVCUYCnHtxlG1DPY45QdzCKZzrZqASEQ9EAgweHSC1lmbx2hIer4fEcpKQQTuQSRYWQVRVK+aYcEImkWG70kG0OVI8Xlg31SqEhxbZk4+DZ8PcqFL+BTfCYrglRHIlydpS3DK6VjWwa0vyelDySvF/KBLkR7/tO7ktkAfynG2N8ODbjpNN5cjl8iTXUkWNxp2tm2cs8oGRPs6aXKkUWSkSjfaeVjLpLNGWMKJHZHRdhg5FgyiKisfi2ba0FCeRyNIV3fCr0UmFkVw4aTh0NIJMNjWHWFlJQrjNkbhIPonh/BqTgY7itmqJRi6TY/T1CXRHNjmrlJjHfaths7Uqt8yoqkAloVsQBIQ2Hzu7u1yHtNXhRCwqteuUuM9NP+yyg9eTNVw3mzITmUohds2s3u4BEl9KMBju4fjOfSXHWpndVCJflfw1oNy3QUc1OVPSrW+QDY6Dqtr6gDj5hlSCqKpokoQaCKCGQsiRCLlWiWyHRLZZJNkxTqp5tOAsms8jpdMEJq/T/Lkv0vRPX+KlL3yF/LUpnv/qk4S+8nWCK/u5+KL93DvStbvoe2McB7e5MKzqs/p9o6AqmqtQrTcK1ZoFGMmI2Yxns8Pc6sjnZIKRQM1Eww7V9t/tGIiiyPDBAQb29HNtdJpcJldyfK24kZoRt/eKnJPx+iXS8QyiJOILFASrVCxFPlOI7hOMBlzds16/l8NDg+hpunTzpv0D25FzMoIgYJXCy2nF28143z6ym0hbpOjcvhnIZfJIXqlo/nPMn+Oupo1zOSikOOzJcEdU5a3tHu7vC/BQc56HmvO0kHM0P2qEQK5DziusLq4B0NrVjC/gRZI8pOJpjofVYnjYVDxdYt5lvAaqqiHE1whXCPVs1HSYcVYLlZxXPZqd5uYga2vpkn5ajdmBkEo6Xfv1z6RyjJ+d5M4OiffeuZ2H3nGIRz/+VaA8OIa+oGLGVtJ+2pkzbyaO7xnm6PAu1+VvaTZqgJNZkdDsZViKIt2+sepiFHbtjq3GAdsuiV+9fXdq064uN8eZTaecEhQaX3ROL71MPE1TR9TShMpMWHSfDXNfC2MW5+Kpyr4KuhbBTEysNElmMyxjmZnPq6z1nCEYP2rblrkNc6jdInI50s1vMHJ3QeD3yTIeyv1LzPWockgPSkRm107EyxNkg2dg7Aqv+PyIsox8aB/i2c8w3N7D4VwTK2PLiD4PHq+I6PUg+kQykQyH2ob40HsLdRnH3Wk+2IW21VEr0ahkSlWpXkVWSkwJqkGjV7LNGXT1NiqVtzJBaiTRMK8+m+vu6m/nwivjJNZSRJpqF6wa2Wc3dTW1RYi2RFhditPVXzlc+VbIDVItQk1BlqdXiM3H6NxRWBHWVI1MMktLd3PROdzN/efxepjKxPBIHlKxFIeHdtLc0cTi9DKxhYIA7LPx2XCbYdoOx/cM81TsDPmsXDQDqwVWmpR8Lo+qKNweUSiYKriDWRg3awX0/3aCeKXEeMZ9cl4hvpogncgQigYJhgOszMcQRKEoKD9JwRcBoL23FZ/fa1l/Z2cTsqyQSGaJVogaVsmMqt7rCtDcHGZiYnHDWd5mTK75o0QztZON62PTNLVHSQ52c1aD3/iN7+O7vvcP+dOf+gQr0yu8/6M/SP9IX8kxZlPWzYTbRTonk/VqUO07t5bn89ZZxnuTwM3F1FStZGVfF3atwtVW26aZaATjh0uEafMq82ba3BuZdK2THEo1EmbthO4wbHYcTiezXEped20+YyX8GscpHT1TItRX+m/WaBhN5vQx1521jWU1jwfR8Iy0MtkyEhWrrOAAUlJFSqdpmh3k4vPjBGMHERRIN5+1HQ+9njJNjijizx5FDYgol/+efHcXuf4+dv6b3QiDYVp2tfJyegFveN2+O50nvZjm2Zdf5etPPsfi+QXal0I8+dJLPP3qy6QWkqjxHKPPjqPKKo+N2hNIN3kxzHPCDuY5YrffroyqaAg1Jguz8yGo5aFsV5fTfjs0WqNRqT6vT6JnoJNrl6ZJJ+0DOLxZcKM0QjcCkk+ia2dHQSOwvnibzxWCImTTOTweD2/Errqu78C27eyItKHICi0G87ODOwcAOC8WTKysVsR1QdL8cQtRKjV1cotKmq5UIsOhgFIWicuNGZFVeZ1oGP/bjYcTZFlhbS3N0uwKC9NLiKJA17YOWjqaaO1qpmtbB5197fTu7KKlswmv38s+T4YHtoc4HpQd649GgyTWzeiqiUZl7n8jtDahkA9RENiZXAbKtSZ6W0Nauvi7WsxPLZHNZOkd2MgiON3axT995ufo7GoBQPLe3HX4G6XZd/tu1VGPxveWZqMKVBKoVUVFnUzR9p7CylgtidCc2jILzIUV8zNcPFUq5LrNGl5Pn8zmUEYypZMQp3M37rPTZtg5Bu9q7eTkyvO0DrcWj9HL2K06uHFy18fT7Byuw7zNmMeigI0cFcYEesbjNEFAVCEdfg0pCaKqEZ7fS7LtIunoGaS4ijcWIxO9jJQSUEXwpw+SbjX0RVbxZFTiPVeQMiBlAFXFnxkiK06UnZcxn4axf3baHOGljxOMH+bEj21cTzEkEWovf5kc6hhCzsnIOYXr04uoeRU5K0NCRkpqTH59nO98220sXVwsZMr2iog+D88tvMbBnmFyiVxhm7cg5NcbMtctrAiOqihINSa3siID5pUwK+fnSsShUt4Bq7LGtjZLWHZqo7O3DTmbZ/T0FZraouzY07elQwq/fGmMwzt3El9N0L+rPAHhZo/ljYQv4CPSGsGzPs/T8TT+sJ/XJi/gjfg4vn2f4/H6WOi+Aq2dzfzMYATIcSq5ce/80IHtdAupklX9SqhGWD22excvvn6x2CcdxutUbe6F5FqKgdQqLd0bxMktybDTahj9H6olLAD5vMLKSiGMbSDgJRRppbWruex+Mj63QpEgoUiQTpeCeCjkY9EXIi8rNQmEusDfKMIRiQZZWUkSMWlajMQik8nT2hou2WfXdiqRIr6SJLmWJhFL4vV5Gdy/vWQMDwop/vzzp7g2NsP7P/qDdO/qsu3fVtJmVrIUqYRq3rX1Pv8Ezcqw0oS1tTWam5v50KM/6zpJ0zcz7IRW5dIa8sk5Hv69b+Pxy5ctoyBZ1WMW4t1MGj23BpRrL5zySlQbWcp4nFXfrco57auEShNfVVWuvzHNjH+Fu3Yfso1WZE4GZxxXu2zoxm8r8yM7522z1sEcfazkOFmlaXaQbHAcxSeiekHMgye3nlhNFMhFBUS5sF1QNURVK6xECqDpqn0Rcs0eyKlE5wdJdl5Bymh4xGPOA2yCMcmfuf9OhNe4z8586ZFPPQbA7tsGQNZ427YBlLyCmldR8gqaXMisvTPShyIriKKIx+vhcnyafd2DSD4R0eNB8kpciE0gSmLx4wZus7Hq/Z+7soA/5CsRNnQ4RUAyohah1FyvGwfwrSb4WpukyExcuI4/5GP7cJ/NkdXX24iyZqwsxFiYXmLPEfc2yFtJ6HCD1FqK1yYucnzoAP6Qj3w2T3IlRXN3Eyszq1zV5ritf69jHfr45rJ5uhbn2LZtI4GdwhHbpwABAABJREFUoqh8fSIJwNvCGYKBDROnRhOOdDLD86fP09SxkdionntC0zRmJxe4P5zB55OK/bUiCG4cp63O1y3xUhSVdDpHNpvnlbhAuClEuClk6eBthl3eC7tymqaRzcrMj12jp6sJX1dHVQSxVji1MTOzwvJykgMHttmal509e42OjiiL3X1lRCOVSJGIpUmsJknG04gihCIhIq1hos0RAgb/FOM4HL/j13jPr3w32/b3N/Zka8CNikRVrVbDjMRakre0fBexWIymJueADVUR2UOdQwQjwS2VeGQrQTkXQ9zXhCAIJSZTVgSiHoG81OegFE4mVG40DfU4GNVLNKCyfX0mkQEBAs2lqx66YPkj976zRAiwmqvGa3JyfNzRoV7XADg5kRt9NAp1bJQthMM1FJZE1nquEF7eRzZ8sRAVKgCyCqIMqkRhmwSq8RTlAhkRVRBz6+UAfCLZ8GWkpIbqFallXV53ftejT+ljYDdnzdutVkeM80AURfDBX3z5qTL/GYAYWQ51DKHKKnJOZmZmhcvpafb4tnF2eqxISlRFQ8mrCAIF0rGuKRE8wvpvz/p2AcEjIOcKsdjdrqqrimKbZ8Mp5G29jti1OD+bNSU3g3xUEu69Pon+oR5GT1/hnbtbalr1rDY6Vq0QRAFRcK99udERp+pFPpsnl8rz09/9vbx2+Qr5bJ5ULEUmkcYX9HIpNsnd+4441mEc33xOZlQIsc2w3+MR+Te7omQyeYLZ6k2cqpkfHslTzAvSCMj5gumUkWhUghtNhdmMyrEPskJ8Lc1aPMNVfxNeX5jOvqArbaulQF5hPHM5mfn5NdA0WprXM4lXqX2p5GuiQ4it8npT34Zw7zDGTU1BJiYWHdvo7GziypV59od8JESRueWC5sJILqJtEXp3dhEMW/uiGOt89dWrCB6B/n21LYo0Gm4Xym4UGvF+uWVG1UCoM2m8t7eVTRS7JHdQn3BvrMuJgBhRKW+GkwO7sc9W/W9kJAQ70pFNZgmG/ezo2uYYCtV4DfR+Wd3A5vM1EgsnR22z5sgum/fFU1cImpy2kUSSXaOUuEyJIrvfUpr1vYT4rK/mq4BqChySiwo0X9uOHAyihnENqwhbbrKpW0UpsxpXq+SJF09dsc0OL/pEJJ9U1FhdZ5n7bru9rG5VVlFyMpqiFTQkilYgKuk8mqKiyhq7mvp54pkX0DTWyYdYQkRETyFEpyCJJLwJRI+HTDJLU4e7cJr1+GK4NctxyjexFTQbxvOwOyd9NdYqo/BWgscjks9Vl9TrzUI0APKZPF6/hEfykFxJksvmCYT9pOIZ4ssJfE3uLRZWFmLksnne0lEuPgixVYKN7LgNPB4RVVEbdh/oixJuw72a95kJhU4yrMLImpHJ5FldTZLNykwGm4n0tNFucq433jtuhHune+ygkCKXk5mdXaVVlGlqCkCNV62WfBrgrNkIhwOIgmCZb0NVVdbWMmQyeXI5hZNfP0dfXyvppraK5MKp35/9zAvsuWd3ma+OFSr5z71Zgkfc6IiPNZGNrca6tgI0TYN4HqG99KFtJ5g7mVg5JXUxkgW3eTDM7duZb+nbzPWby5rrrodkVBoDMzLJHKFm+wej1Uqv3r+PPfeVYp+N240wE4rJxwtqejt/jeLvqH1EKzcRrHTU5OMjiag+H5pkfzsbo2Lp/TRmEy/8/jApNjQcVtfGzfXWr92H3luow5joEArmVR9670NAOal0k5SvYErlHKpxhTSdXV2oqoqaVwv+VLKKJqtoisaelu28MXcFLauwthAnn8nzxsRl+kd6HevV4cZ3otKxZuG8mjwa5khTN8u0qpJWRxBFjIa6W5FoACRi6WL0Hjeo5BewlQQNTdXIpnK8/Z4j5LJ59vT2cS25UtAGejxkU1k8qse1/XY+K3NPu4dgsPQerGRyVAnV2PwLYiG0rqZprgTESsgkMxwNu9PGWJ2n3bZK559MZllaijPT3EGwM0CrjRbWOC713EMHhRSapjE/v0aLkKcpWj81NCb9M5+zFQGzOs6MQNBHIpFhj2+NeDzNlViKtXiaRCKL3++lqSnInj09RKM7CYcDRRJ2VisnGpWI2vJygi9/+TXe/avfw9LUMoGQn3Cr9aqd3aLPVjRtdUK95lO1oGbNxs3McngzYSdoaVkFNHjwQCEhkjlnwOn5Ude+GU5jahT2qskCXglmIdIp07ebkLdOjulu/FKsQqEe3zPM516fpLWvuWS72cH8SNfu4sveScNk/m8VYUrXSthFhaoEfQzMAreViZuZOFplhNdRlt1cixWS+Zlg9MMw+6LAhjO40aE9HS3tn5lwuiEc+nXQy5nJ2snxccfwt42CKIqI/o0XuHHONG0rzKO+rl5SaymO+KSG5Ieo9sVjFkyrEVTNIXK38gtvqxINgGDEz9pyvHJBG2xlJ/JcJsfF2CQP+W4nthxndG6GUHPhWihyIRrVkRb3woc/5CObSRMykDM7cyE7x2lwv0pvhqqqxBbj+ALehhANKEShivRtCKq1OHMb4YZk5XIyi4txFrt6CFf53KnFGVsf69XVFFIqTrOFb5ob2I2NXQQucxkrB3ozOnwqrzx9jubeDkIhP01NQfr62mhuDlmGVHaaR5XC6OayMjt2dPDZ3/w8Hq8HNSvTu6+P7/uV7y55HxzfM8xf/Oan+Oo/PMVDP/BW3vcL31tcoGj0fb+ZcvXNyGEFt0LfNg4pBXwF0wxwzhdRT5QqIxpRhxPszKmsyE41fXFb1nxTvHD2AsO9vQRClRNP6Te/PtYfuefh4j6j1kZvQ3dm1mH01TD7ZAAl/3XBfMcD8eI+43bjPrOzvv7tJlKWOZdHEaqKoGlgWBUzEhFz+F1zGV3rseOBOB/8sa6i1sHJz8gYfcwM4wrpR+55mB0PxC3H0OzEv9nQSb8VkVXyKp4qc2wYE8eZP3blzbByDneqwyrS1VYUcHUIImhq42zrNwuhcIBsOlv1ccbxd9Ly3MzrlM/k+eD9D5NN50jF08Vkb5pW0Hj4gtXlqpAkD7LBX8IoZNrBSqisNfnb0swK6WSG++6oLfmpFYa1NFJizTEhXz3Q69XrVlWV+fk1Zls78ddANPRvN2Ool5Nlhbm5GInpOVqbKxMVY3/N/XdzrBlGs7JK5VtbQrRE/dxzz26OHdvJ0FA3XT4Vfzrh2K5xbIzbrELo6ujpbeGfv/gLvH76d3jt1G/x/Au/QV/Yzz/9zheLyRB1PPPlUyiywr/+3ZP8/Dt+lTdesn5vbSXNphE3Ip+GHeoiG7e0GgZEJFRZ5c//4l/5qT96xPZYNz4O5rwTVqgU6aoSKkXI0stYhbO1Eo6N+/TcInb1uumH8fx1ATGTzDCxXHAc+5F731lW1vhbv9nNPgVHunaXEA89UpVRmNe/jeFhzXk2dJgFeV2whlL/hFq0QzqMY2mlLUqHz5CNXC7JsWFl0mXM/6GX0e74cLGvk49HeeRTj1WMoOYmW6ldPgtj7pGT4+MVAwJshh+Q1faz8+OMxa5XVZ9R8G/Ey8Xtg91KcK1EULbqy+9GwM35K0r1ZLMSKhHHGwVFVlFVjZWFGFdjS8Wwt3JO5sLyhOvEeMUxFAQuaAXzGzfCZyMjUamqipxX6N3ZZRvMoRrognggIJHJVuez4wSzoK5Da24hl5OZm4vh90uEo8Gq8o1Y7bPLWXJQSDEix0kms8RiKa5dW8aXTrC9v5VAwPmam82f3EAnE+brbd5mrttqnNRoE1JLS0lwDyeyYoTbiFx2CIX8fPzjP0wgk+eFv3q+5B5+5ORv8Ydf/q8cv/8QS0sJfvfDf1q1r1clbBW52s1za7+Qdl3fLc2GS1QSekbPTJLq9BC5LjNy+6BtZsdKyf0qMU8rId8MtxGtrNpys8peSwbySuZfTnXq/cwkslxJz9g6hFeCVYZrJ8F65PbBEsJhJCH6t9m8Si9npcFwS8B0mE3RrEIZj9w+iCgXQubqsHP81v1PdF8NI+nQj9PrdkrYaCSVbqCX08dKb1cnHHbjUO08qRVHunazt2UHezt3VkwMaIZVpu9GoVGC6s0UdrdCfg0345jPykje2rNRb2V4A17iKwmirRF8BiFTzsl4vO6vT3EMNY29JiHD6AhtFjrr0RSYBUdV0QqBHSzMp7KZHEtzq6wurpHPlWeXdhLiA34v2QYLjTqMY5PJ5JmZWeWyr4nZ9u6SVXfjxw6vZr0kEhni8TSxWIqVlSSrqymSySx6FoNkMsvcXIyJiUVmL00Qn5olt7hEMzlaU9caZnpmPkczabAjGZsdVleHXYQuN+QjFPLzEz/5IN/4/PNMXZ4rbvcHfGzb1cMv/O+f4K53HCW5luJf//7JhvV5qxCNzcDNfxN8EyHZKRJaUFEmkqgLGV4YfR1VVusSkCqFbtX/G+HW98IqgpBVOav2rYTNStoLN/21yiCu4+zUOFLIW+KTYYQV4TBvO75nmCNdu8v6b6WR0YV7o3O1UbthNguygh3ptIM5dLFdKGPjb1EF1SMU+6rnzdBRyb8kdeI+tDs+jPDSxx3L6XATlMAMM9HaCBNcOD+7ea63Z97WSJyeH0WRVUSDz8vNeOjrK/DGlfiXL41xen60bu3EzV5dV7ewKdXLl8YQJRE5n0eWN0fg1Nu5Gbjv9kP07uziwsxUyXZVVl3nrDHOH1lWkExahUqmVG4Ih3lV38okJpvJlWk0FEXlqVNnePL50xwLKRzwZGifmyG+miyr17zyrwueXp9ELlBFKD+X0FfuteYWFEVlfj7GXFsnzW1RDonpioKvoqgk11I88dyrfO2Jl1ieW+XlhEhmfhF5aRliq6grK8SnZpmcXGJycpEXllVC+TT9EYEd29ro7W6mqyNKe1sYoX8v2tQFtKkLAIXfzS0l22o9T/1bJxl22pFqonxtBtya79155xC3vf0gv/h9/4OnvvhiyT6vT2LHnkI+ji998uu4SFdXEZv9zrkZTuFG1Owg/s3MwMxwswIN4EuDf3uEsZlZdo9sI72QIn59DXUlRao5hS/qQ/I7D7nduFoJrVZCWDVCoN2qvtWKthshzxwa121fjHWb7en1G+RQxxAnzz3H8YHbAPska1ZJ/owajY899xXbsdL/GzUKujZAz52xITTHi07fwfjhok+G3bk55aFwglMo4+I+BdT196/R7Ev3OQnGD5ck77NC6ORTpKMb51vEUGXtWSVzPv06foyvMGnQqoROune0twu97BZ2x+jz7fzCFSS/RKizPoHDyUm4WmFTL3+zHPq+VaBfr3BTmNHXrrJz3zZX4TNracdqfphDIpv7Vc28sZt7giCU1a8oKoKLRHFm5NI5/G3SpgmGVsLgAZIkk1meW5Zp7dxwbM7n8izNrnJwxwB3tQpF5+FINIgwu8ys5IFoWXVlbfl8EisrSQjUb5plh2w2z7gnwgNRDbAWePXr88rUBfLJPLsj2/ih7U0cHGjBtzSON/G6bf1y+240DQa8WSBQIA8WSRoFwzahfy/aG89v/J66ULK/HlQKGGAHIbaK5gkgCIJlBKt6NCP69c7lZFZWkrS2hi0dzgHa2iL83Z/9MJ///Ck+9kdf4p6Hb0PySuRzMn/7Pz/Pk//8Al/8+5/k+3/0Lzn30igH79xTPLbaHDzf7EQD6tBsfKu8AN0SDSGvEp3MMxvMMnL3EA/dvp9XhRXaRzp46/4hnr10mdXxZZYuLRGfiZOLZx1X+3QBTR9nJ7MVJ2HQ7CNSSRthterv1I5TmXpXoY03YC6TQ5QKeRjA/gVcKSzziaGhkrlr1UezI7Y5opNxn/H74qkrZZoIXQtgzvlhBbvIU5UwuLuHoeMDlvuMYW6NsCIeOikBex8Vu/ljd15Gs6QTQ0Mlmhcrcy8rVIoi1gjTKk3RENa1Q2btWrWwm5tvdpOoWnCzzajcOtEC7Ny7jbbuZkZPX+HKG9eYn1pquEbG6vpVMvNya05X7dxwY01jbjufyzOkJgkGfVULfbU6X6uqyvT0Ci+uaLS0NxUjAGXTORamlrmzVeS+bm+J0Oj1eujoiNK9Ms/rauXwrl6vB0Up+LZsFjKZPEeCzpozOS/zwsUzZFYy/I+33cfPdazRlZsiHLuCt4IWSpobxbv+rC3RXJg+xu1QIBk6wdAJhxPs/DIqHeO2LKyTkmSifFuV0O//vcoaO5PLXLu2xJkzk7z00jiXLs0yPb1SsY7v+q7biLaE+dCJX+W/vv9jfOQ7f4Orpy7yoffdzX/81c+RTWctn3Nb5Vm9WUSj2gAPt5L6NQiheQVv1MeO7ygXZINtIR56y0FUVWUktINXr5wnOZdAySl4wz68ER++SKnWw85x1olwGJ23K+X0cKt5cCIPbvxHjHCbn8WqntRSCilQOj5mcytz/fo2q1UGq5Vy43+jf4RR0+HkrK3/r9V5v1JCRjtosobgFSuG5TVqN/TfVtv0vthFy6o3t4oZRkd6t6h27pq3m9tTFY1DPbsJt4QqOq1XQiXBEWozqdkqLy8j3IZ7rSaTuxG1hPg0Hmv1G+ydRru3d9La2czKQowXT59naKaHdx/r4oLHXbLHelHrNXZznHnOiR4Pat4+t4RVnYnVFDsjAUe7/0ZrPFKpHKIo0NXXXrZvt5ChqanT8rhg0IfX6yGdzDhqN6Cg+fF6PeRyckXn6VqgaRqJRIal7l7aKPcnefHcRdaW4pxfvMrvPng/zVoWkRzs2Fe1eVNFsmAgGVZw0my4iSZldog3k0y380M0zTFjXXYO5/p2VVVJJDKsrKRYXU0wP58gl80zuKuL7u5m9u/vY20tw/nzU7S1hWlqsn4e5PMyS4sJvvjpn+Hll69w/foyF85P8dKpy3zyUy/xoZ9+ByPvfjuSd2uK0m7fYdU+d2qJJLc1R+gmw60gVbLK3elBuZhh7BtjDL992FKgOdYzwun5USK90YLfwfXz5OI58okcqbkEguTBF/Vx2+BeApEAry+OuzKrMmsxzP+tnKHtNB6687RZ0LQSBp1ycxi3WYUchXLyYSX069+3+zuKZEM/xq2q0igQ6f2wMskxjp/xvN1oeayiS9nVXY15mXnszSZqqqxy7cIM2UWJIAXNhPCS7mNS6rxuJBVvvfMI3HmEZ148XaZhSJ24D7QvW56n3TWqhA1y+FhZTo9KcBPJzG5uVzquCFXljeUr+HK+urQatQh95uPt9m/FPA5u+iPUod1oBNGoZv9ZLYQv4OPBHWEe3HEb/3JxhX98ZY62riytnc0EQvXlYamHPFmZX7mdD1ZzyuP1sLdlZ1kbdvVmMzkGsjGaO9vqIhTVmsLIsorPJ5Vds1g+RTbsd6wvGg2yPb4M0daK7fh8Epl0tuFkQ2tuIZnIFEyo/OVEIxFL8uzrr/HB1j5+7oG78Qg5tOmLbIaORScSuq8GbzzvymyqHlMmc7I/N3NHVyhW0qAY60qmcqwkllldTRGLpfBKHppbQvT0tDIw0MmFC9Ps399fLN/WFqGjI8r16yvs3x8qSxCpaRo/8+G/5BvfOM8zz/43jh8f5NOffp4nv3GeH/vxE7zvfffi93uBHJCrK4/QZiTK3mrWR7fIRoOg+kTkoIA3VXhE2NmHGyfAT5x4V/El8OrsReRknlwix4tnzzAQ7KErGiUQCRBuCnE+MWHrC2EnkDoRi2r8Pdw6NVe7Ol0pQ7qxT0pGJtASLDnmE08/WhYi16oN3aHc/ALVM4rbaWjsooWdnh8t0XZ85J6Hbc2kqtX+mGFHdIpjJKts39/H2Pw8sOF7oSfws9NyPPPi6QLhMOCtdx7hmfXvZz/+8apN96zGzTw3nRIVVoN6tCtWWhplMskD2/aXBStwi0aaSFnZ7m9FoqHDTd+0resfXgKjQHtWCzGwJ8TKQozu1UX+7ktneNtbj3JiW7C4v5426k1yWM98UBWVdDxNaH1Ft1ImeIB0IsO1cCsD8bWa29VRTWQiQQCz/60sK8TX0rR7FcBnKwCHw36WlhK8mvVxzJ9zbCcY9JFaXQXqz6pthqpq7NbSxOMannU/mdNZH3IuxisXx/j4ibt5+fQk6vULrp3264HQvxcNZy2GDjstgttjjMdaOY879tOB2ORyMsuzMWJrGWLxNJqmEe3tol1SGDy6k5BpYcAjiqyupmhp2bjvPvrRL/H0Uxf55V/+bn77t7/A3/39z3DbbYX3+mc/8wKjo7McPz7IZz7zAqsrSU69dJmv/Osv0dJS7ttntZBQre9GI3Azc2k44VY0KhPqMQ/RRBDUyrkjdBgn4bGeEe4YOshbj9xG63A72w9sI9wSJpfKMj02S+t8kNv9HWRWM6hy4c1dyZZdP59KUaaszK6qhVXGaf3bzunbTW6FE0NDhdjqWaXEjEo/vtobxWiD/JF7HnYM46qPi/F8dPJiNnnSz8tNSNhqx9fx4ZFTEUzhK80Rsuz8L5558XTxt048jATEeO76+bmZK3b7jRolOxJkJsabAcv7QVV5YqKUBLldaaplDrotY+dMvJWwVUhQvfH17epr7Wwmt3uI7/iOtxKZmmJiYrHicVaRlWpNYtcImOdTNpVF8kr4Qz7X1y8UDZKKp5EjjTMpc5MQUIyvoRiSCCqKyszFCUJyhlBwQ6C0zFgtCITDfjLJTMW+mJMVWqGWiE1CbJVmLUskEiCdzhOLFVbedysJDvpy/OzBbgIBL+Lyda7PJ1lcyTTUd8TWXKqGBH1uNRqVIk7Z5eTQoWoqgrhRXlVV1tZSTE0t88YbU7z4whgvnjzNlcklwmEfB0Z6uPv2QQ70h+kZGSgjGgCtrSFWlksDubz73XcA8Nu//QUAfOvmUFNTy/zOR/+FH/ut93H/A/v5w489ynPPj/GJ//uTZUTj7NlrfO2r1u8zt8/rRmg1qvU1vNE5gOoiG1tNTVMv6hVuRBn6D/VxcryQw+JH7n1nTWN0pGs3kk+iqSNK965udh7eQdfODjxeD+nlNNq1JMe0Vh578Q3UlFzmxGgUovRcBvr5WYV7rQQn23ewJhrGczHCaE7lOvRuRuX04qzlio/xZrYba6sb2XyTOYXDNa+i60JzNcTCzsTMDXTTNt2XRL+mJ4aGuLtnG3gLql+jc7fxGzacv/Uyb73zSAmxeObF00Xy8cyLp8uSFTrln6g1EEClSFSb4cdhrFsfU1VVQaX4NDRf60owh6t1A6ukfE5l7MjHmwGCcGOyiBvJxVkt1FDh/qCQ4o6IysFDO5ifi/GNGets4+Y2bxTJsJp7Vtnp9W25dJ5AxG97rBV8fi+BoJ9EorLgXg3MhMNs3x8O+cjnFaamlllZSbJydRq/30t7W/nqspWQGw77SSerzw5vhploVBsutlXI0e1X6QsJ9IUEOr0KbWK+qOnY0RNhItfC6GSMWMJZC3Oz4TaqlI5acq4kEznGry5w+ux1nntulIsXZlibnqe5Ocj+A9s4tL+XO2/byfb+ViKR0uhxVsEI2tqjrKyU3ot+v8Tgri4GBwt+P0vLCc6du85/+Pm/4t7vvJ3D9+zjPe+5k/e9/16+//vuxOstj1b293/3LD/7s5/k5Zcvl93rN+J5XW9AkxuFujUbb4aTdINGrKKKeQ0hJHFiaKhkkllNBrMQU+n/I68/Qbg7wqvaMsJAmJdTC9zVvw1tMYs2keSxp1/nsVPnUXOlDn9WieScnKOrEYqtBG7jf6N5kT4OTjCbUOn13NPVz/vveFuxjLEuK9JghdPzo3zi6Uf5xNOPlhEUo6bFSDrM0cA+cs/DJfUbNTdWwridv0ulCE5WZXXo11MnHEpehXXncOGljxdzgsBGHhBjlCkdr/7OH/Pq7/wxUDC90v05dPMqPdO3HgrXiXDamVTZmZCZkx4CJeNshBPhcKtVsSKMJVgnGroDs7leN4SjllWieleWtqKWo1bUK5RbjUW9mg0dxn5dDrYg7x7EPzFZcDw2lKm2/1YakFqvaSWyaqxbUzUUWSlG9qsGR0My2QZm2raDUVj0eES2RQRaRRltdRVRFGhvtQ9RbRY0AwEvw1qSXIWkfbmcbClMFutdj9pUiWSYIz85wVimuz1EJDVLOqvgEYWSKFG1wOifYdVeNUSpFu2GnZ+HG7OspmiAvKKSSGTp62nh9uF27hxpZ/+eHrZFRCKRAC3NISSLBUg7Z/SWlhCZbJ5MZoPILczH8UpiMaHjL/ynv+H97/sTdhzbzfv/y3uAQsjiT3/qBb7whZd58MRvce3aUvH4P/zDR/nHfyzk4Ph/f+0zQPXO07VoNczRSt1Cf+fcjEWrW2ZU1E40ShKrZVVEBWguPMDNQq0R5ohJVpGUnCCKIg8dHiHa34RnRxhhexjCEnd09aFNp1m6uMjatRiPvXre0uTKzpfD/Nv4XY2ADBu+DdWuEhuhHzsY7GMsPV2y/WPPfaWY7KwWOB2n38TmG1LP02Huo5PAbYSVIO1E5OzG2jjvPvvl5xk/d61kvzEZoVF7oBMKY/I+YwhcI+HQkY6esQ0QYNXnSiZ75j7qxKPS3HAaJ6dtrjRPqgZ1hmg1azaq0XTYPfithFE3x201CKJIJcWGntnX6lwrjQNUHotGOprf0yqS7Osjf+YCkYkJ9uTr92HQsZnXVK9bVVQurkzUlEn6ohhBlu0jWNUL26SAgkA45KO9LUx7W9hSyLSDuBYjFPKTdNDIqKrKWixFeD2sbjWoh3gYyYTHI3B4TztdbUFmPd2o18/XZrZlIinm/8ZoVMakfhXrdWHyVmzDgWjoZNDRdE4U2bGtlZbmEJ0dEQImE+pqAxQIsVU88TWam0MsLW2E1D16bICxsTmmpwohcFVV48d/44f44V/+fvwBH7lsnl/49S+Qz8tMT69w511DhMOFORKLJfnTRx4DYN++fn725x4Gqn/WVEMYatVi3CyCYURDHMSNSdPeTKhXm2E0M4lek8m0iAS9Hk6Oj/ORewoT7/T8KD9y7zttE9CBu8zXRpgFqIdGCmVPjo/zjgePkE/lyCfzkJQ56m/n1elZ1vwx1HgOgs6XvFYncTPqmQtmQTuXznJsaISLiWtlzsf6WBtNBCoRN6Mz94mhoZLrY7wmjV45duss7jTWumO67mjtVzT86SOkm8+UhOm1cxDXHcjtTJiEl86g3fFh2wSA1UbTsvp/YmioeO9cPHWFD733Ids6nNqy2ufknG5V9uT4OKgaQgNyeblxsq0GuvDdqBX6NwOMhMPqvGtxrm7E+JnreHBHmGT7DiYmljh16jJtbRF27OiwtBV3g0rX2e68jdvNzu229Qow0jpQU4jnwcwqQsALbL52o14YBVLdUby1rbycLCssLKwRyKUJN0Uq12uRi6JSOFm9TInQr2mkM3kyWZnctYsA5PMqXXe/lfzSEqmUQtjmfe0mH4Yb6En93GpQqiUa5v/VkIRIyMfyaqpYR60R0IzHtUsKiytJ+vsLE2FkpBePR8TrFejra+UfP/cRLgc3IpddG53m5cdfJxQN8uO/+T5uf+Awbev3WXNzmAsX/8CxbbcyRCUZejPCsN9oNCwa1ZuNaDQSnrRK06SM/32lpiHGSEiwYTNrFIatzKuME08vaxTUKq2ie0M+npq5htgb4jU1xtvv2MuTb4xxvKOXU5cneGz2TCFTasDDiQN7XNVrt8/OVEg/N7OGw43wZyzz2MVRjirNLHemi6GDjeV12EXEMY+n1TmcHP/jMm2Psb925MXK5Mt8rF15c/I/HWbTM70+oyagCFnFnxki7xfLiIZ2x4dJQTHEbMHECrQ7Pgzct046rAmH0z7zuThpFqwin33knoeL2iErEz+nIAbV+hc5mVkZ76fMWoanl8pDMOu4Waai3yxEQxRBqyIclfGc7bQZbsemEX4cdseFwwH27+8nk8nxjeksy69dZfv2drZvL88H0Sjo523lG2JV1vh9VgsVn5FfX3wZJSvj8bsXATRNI5nM0hsSwNMAdn4DEQz60DSNbDa/Hq60AE3TmB+7RsDvpa3d2jTLKNRXEsorEYDs1TfIyQr5jiGSySxCczPBaIjw0XuAgsmY3y8xs7RsW0c1plVWplRGomI0Dau2biglAeacGlbmVtX4bkQjfibXNQ7m8rWSj9aWMJfHN8Z2YmIJr9fDnzzx20Sawlw2lR86OMAnX/oD/AFfMZeGkcgb0YhndSPeNZtJMOoxdf2WNaNqpFajdTSPtL8FT29hstkJRebVcz26kR3cTDw7sxV99VgURZ6eu4bY7udVbZkHTxyGNj9379jB8XAXSxcXWRlb5rEXzvGWzn7uHxh0FCT1fju1bU62Z+5rJZRcm4zCa4tzjgnB9DaqddS10pIY9+n7zWFtKxEwN23q2gmjwH1iaMg2hK6Vn4OogrY+LmaNhg7dV0P33TBqLMxRq/R2dL8PY5vG8dG1dtX6TMDGWBoTIJrLG1GPg72TiZsRmqyCaG9S4nSPbqbj9jcD0dhM3KjoTpXaCQR8fNuuKEeO7GB2ZpW5udimtGNVzm6OVKpL8nlQFa0q4UbTNFRVK0u29maAEFslHC53bo/F0nhEkfa2sKVZmZNTeDU+Fbm8wvxympmWPST6D6FGonQObaO/v422tgiRSIBIJEAw6GN+7Bp+n2Sr1bAjBmZiYf6uhFr9Q4xRpZzyYOj/3ZKEUMiHLCuWvja1ajkCAQkhmSCRSPPFL77CBz/wCG//3rdwd7P9nA5HQ5ZJ+3TTT/1zC85omGZjM5KSbBYaGVJTSioEFxWkH+gCKpuZWGkrKsHK/0GHEymwykgtiiIPHRop/n9sdJR7u7bDMqTnUywtLvBGepm79+4is5apOvOvHdEwn4tb3N3Vz979A1xnuUwQN563cVzttEVmDYdxPHVh3cqZu5JQbYSVP4zxGGN+DvM5mNurlI9i94HtXH15nHx04/royfx0jYbZMRwoZg6HgtmU8VjjtxX0SGvmsdbHtBqHbjfj6ibilxs4aTw0QyQqKzgJZFs5/8W3AtwI3kbYrUo2AuFwgG3b21hcjNPd3VxTHdWej5vzMNejaRr5rMyx/hGbI6whiiLRaIDY2pplJCgn1GMG47qNChqIqJplJqXR1lYwlYrF0sSnZumWZ4H9jvVVas9yv6YRT+VJRHegSCqRA93MRNuL0afM106IrRJPFMLetuevFcK4WcBOW6F/u3ECNzq61+qIbpdLQ99XbSI/M0RRJBTyE09kaG+rbN5WCZqm8dIrEzz61Dj/6y+eZnYmxr/7pe/nLQ/fBqSrvve2Irbyu+hbzoyqEUTDKAQGF1UyLSKhyIZqtpJpkRlGkyqjw7hxv11UI32bXr7S+ZkF9Yd2F3InPHTnAVRZ5aUrEwhdQQQK5EObSKJ6Re7aM8gL81MQ8NgmHXKTN8NYzuwYb9X3fFpmLDVNoDlg2X+rPjgRDmMZIzE0ruDbmVRZwUwedFhdK7uyZhj75Eg48iqah6JvRklG+3UzKOGlM6ROfBigzA/jrXce4dWTG34ddv0zm3zpZlC6JsYp4pYOJxJmt92tU7rT9XHjY6IqKncNDhDtjdretzcjOdONhhvTpJpMuwSxKjOqelFJaNgMoqELVq2tYa5cWah6kcYKdiZTtdajI5fNIwgCnvXIS9UIKE1NIaYTWZojTUgJ947x9RANo6+D+Xc18Hk9eL0ac3MxFEVFTMTplmfx7ywnGkbU4h+Rl1XmltKM772XcFMIf9BHTBA4YnEtiwK6prEWz9CcvI7g4Ftp9v1wKmPut9lxvBa/D625peBQv5pidTVJfHqeXE6hv7eZ3p7mknOyu+5uTdMiYT+JZI52C18bt1BVjX/84mv8xd88RzKd5/DhHTz88BH+7b+9hzF/i6MJ4puFdNwIklHvc6hhZlRvlhC4jVglNSKwpNB0pBCj2SiU6e24mQRWvg06fuqPHqnZadtpv9G8RC+XS+YQ/RKeiJcXU/O8KqwgDIShzc8L1yYhlke7lkSZTPLY8+dIL6eQTSpOqwR+utmN1X792044VTJ5pPUHr114VCcCZ95mDlGrr5zbCfWVthtJih2M5MGJgOqExHWG7bzK4LHtpKNnSkyi9N/6t5lkGLUdeohbM/R+mImG8f/J8XEe+dRjxTC8lUyWzP4qtRKMaqCTBydzLE1WEdfNqCqZQJqxlVeSoPpQqjcz8Vw9cKsF2CyioSMQ8CF5RNLpxuRJ2Iz+yjkZyVc90QDwej2EQj7WYo3tl13EJqMpUDVhW+32t5BndHSOpulz9Coz+NYToprrrtWHAQqkYcHXR+TYPbT3tBII+V1F/lpeSSGKAuHpr8H4o2X7bZPzVdFHJ/LhBFlWWVpOcHlikTPPnOW550YZf20MOS/T3RVlcKCNa9OrXBqbY25hrSz3l1WfjRoVu+sfCflI1JAjRdM0vvbEBT75Dy/wPf/+z/jzv3meD/3Mt/H4E7/GH3/8h/ngB99OIOCreH/d7GScbrDV30E6GkY23iyaDahfoNEFTCmhEFhVEYejJdt12EU0ssqpYWeGogt4uqOyVZ4H438rR2U3ODk+Tj6V5+7dO0u2i6KIGJIQ2wM89LZDPHjiMG+/Yy9IAs+8Mc7q2DJLFxeJTcZYnYsxEtluqVkw99+Y2M947sYVcDUj8+rsLJJPcjS/sksSaOVorcPYl5Pj47aJCe0IgvlaWzkUW/mBmP8bCZfRnwPKiY7Zb2Pi7BSjZwthb80O3UbCYefsrYe4NROOau4PK18SJ18W10SqSuhzx8rsqqLPhqoheKp/FBof8tUm9asG9bzwqn0RVRLaa1npEwWhYujbett0ciS/EQKD0aQkEPSRSm2tpGzGMVBVraawtzpaWsKsxTPkGxQC10rQtxI+6807AYX3mZRJEg0bnMRtfBtq1aDML2fwtLbS0uL+XplfjJOeuEDn+b/Y2GhBOKzg1O9axyuTkZlbWGP08gIvn57khZevMDm1iqZq9PW0cOeedm4/toPdXUG6O5tob4twcH8vktfDteurjF1eqKrvdmMdjfirIhuapnFhdI7/+Cuf4zd//ys8/9IV7vn+t/O7X/qvfNd3HS+asFWLG/X8rbbuNwvRgAaaUb3ZUE0IT0soKh1nc3jv6kBs91uaoOhhb6E807VZELYyLdK1Asc/UDDhcDI3Mud/sIJ5Nd4c+UhO5ng5vchDh0ZKtB7G9ooO561+TgwNoaoqSkYmn5I5c22UAX8Xi0vzzKxFCYT9+MMBAhG/rebLyn9Fb/MtPdt5duVymdButyJuFNz1sbRrU9+va1WcnMX1/U4mX8Y6zMTRHJXJaPpmNiWzIxr6tuIcU1V2DPcgDIQZfWWiWMZKSwEb2o0C8djQbLz1ziM88+JpUifuK/pvnBwf50PvfYhHPvVYWftWfXNjGmY8zkzgrMZavwaVghW4hdO9rimqpWmgk7bWTRK1RqCal5y57CcvTlfVp61oMuC2TzczTLDZdj0Q8PJa0sM7Om94V1whl83jqSKhn9ks7aA3RTQaYGVlha6OaEnZamz06wndWqsJkMqGFrMSrEx9tKkL5GWVXF5F0zQUVcPTvwfP/BgeUURRVVIZGWFukSupHNNawfy3vacVf9BXZhYnxFZZWk6Sf+bP6G0WEHd/u+35Gr/Nv83Ewm0IXv0cE6kca5EdxOIZ4vEMiqISCftpigYYHOigKRKomNskFPCxa6CDnu4cZ85OsbaWoakpYFve6vqZ+210EvfZzNkrk0ssLMT56hMXePypUVYSOY6//SC/9U+/RlNbhIWppXUH7/oWALZCdMBa3zH1+KM0aqGmIWTjzaTVMKKSHbkT2i7JePJwOZRkBOsVcF2z4TRB7AQaY+4HI9Ew+2ZYCb06zOfnJBTePzDI0sVFCIi2fhFWq/QnhoYQ10PtnhgaYpUsLS1thINhTk9eZMDfg5KT8QZ9XM3O4g16Ob5zn20/jO3I6TwENrI6V3Od7ELV2u0zEgrzNmOfqjVpM4d9dQrFa9aoGCNM6d9FQV+Fa5dmyS5VvoXtCIgOnXAUysWLfTHOFyuC4eSDYrXPHIGqEokwE5JKZoH6MU7mWVb1qAYHcauFAKO/hlmboe/brBWmanMvGB2gb9Sql9NL+KCQ4oJYvg3cv/Qqvez0em62IKAjGPQxkF4Dwg13SDc63Vrt02FX5gBJHkvnuPvwPl4bNwf6LIddv1taQlxPZMhmZfx+qSzsqRtUoznQyUWt2gYdmlpIEOhEVqz2ZbMy8USGNN2oooavv62g9RcFsqqGEtqOoqiokSi0aIgeAUEQOOiR8XhEZtf9Y8xEI5HMkkrnCkTDJQkqnkuNmgtZVllbThBPZImNL5FIy0iiQCScpDniY8fIAUIhX80+R6GAj0jITyqdsyUbRp8Sp2tZyUn8k//wAv/zTx6nrS3Cvrfu5wO//u85dPcIklcik8ry3gMfRlU1PnvhETRN49RLl3nf+/6E7/7u47zvd3/shphI1evvV+9z3C5MdqMCULjFt6xmw4hqBFlN08j91RWi0zIrQxIjd+wqK2N29DYKJVCeQVzPVq3n4DBPTuPqt3HV3Lxirm+H8tX5Sjj5xijHQ52IwsYDplK0JuMKvbHs8e0FMnFfx+0c3zPMC2cv8PLkeYS8QHo5zTemX0DwiDw5GePQtmFymRxSQEIUxZJ6lIzM20aGeHr+umWfjedeyfHYLGwax9PsZG8lcFYTZcnK/8RtGGMz4TBD3zb67DiaJFR2IreAruXQfTeMGcPtUA2pqAZWcxicgyxYoZ6FA1Uu1WyYr5UVmTAuBNwsmF8W5v9bJVLWLrJkDXZU1ZCCesPB1vOylGUZWVZRlMJHllXyeQVVVYvb5byMrGjIsoKiKOTzKqlUFlXV2LOnt6RP9b64jU63tUb5OZ0PcG7iPL07uyrODSfHWVEUaWoKsZqT6Ubd1EhTdqv6bvw2zMK4pqquTMiKgrCmsRTLktbWiPR2sRBuxesrmGCVjE9Xk2N93ZSbAiVTORbPv0537Ek8e601GnpfKm03k7GSdtIya4kc8VSetWSObE4hFFghGpLo7giyJ+IjYNAaCBF7bYRbdLRHmJpdpafbeVzcXMdI2E88kS0jG19/8hJ/9Gff4Jf/z8+x//byufzHv/RJVFXjx378AX7vA7/Piy9svBve9V9+oIqzqR/6vVbt+6Ke57cbfxQ3i1mNQs1k482qzbCDW8KhnF1Fm06TaRZZG/SyZhC2rIiCDvOLXx8/XYNhXjm1yohtFoKtnF7NApqdEGZcZT89PwppGW+nF2zml9kR2mwKZCdQv3xpjHOrVwg0BTgyXChrNL3KpfPEp+K8MnmN23fu4I5wF96gl6emJzk1fQ1BC5eREDPMAq+Vs32laF5WEbOOdO3mY899xTHil/G8jZGZrCKFGWHl16I7iEOpcG8mFBdPXcEjg1rlSpgO3aE8dPIpuPNIiSnV5HpCPz2rt5lwWvXNCmatiFET4uRbZGVOVwlWJmpGGE2yLDUcmoa4bstrFcDAzmTqRgvz1ajxjQncbgTqeTEZoy5Vq51QVZU98hoZtSD8axrsUFPIcsHM5cm8nz2kCqvOqlYkDlb/FUVFVVRkRUVRNAA8HgHJIyJ6xPVMw56C3b8k4pVEvD4vQUlEkjyFbV4Psqxy4fw0qqpyUKw9opRTIrNKwr1dYrVDnjSPaxqaVu63UW0fo9EA168vI3vEiiY2ZlSjmTDa9Ver0dDLJ1sGkWWVXF7G7/O4djBfimWROwZZ3jVCzCPipX4hTIitkkhkWV5N0t0WJNBbHdGwIxVC/15yuYIGJp7IshbPEJ8YQxIFwiEvkZCX4bZmmsJSUWthlw29Xt+Yrs4IM/NrXBqbY3hXZ4mWxOgj48YPp7M9zBsXZ2lpDtLSHCI3cY5f/+vLPPaNi/zIf/shS6Lxr3//DZ7/6qsAfOYzL/DQfbu52BSga2cP/+2vPoI/4AOqXwSo15TKjZaj0ZqMRpWtFzWRjW82oqGjknCjJvLIJ+fwvmc7E2tLZfvNBMEKxv3mSXV8z3BxMpsnpNOqu/kcjN9WDuXGkKXFttt7kcKlZMNqddlqfCqt2pv3F5zOfXhDPrq7Ouke7KR1upVcKoeclkkvp+FaCi2jMPH4ZXbeth38HgiIxVC9Vuer99VMyNyYPtmtoH/knoeL19VMJqzOzcqR3wynnCBGUyNzv415MMafGAcXSXx17YWuzdAdxnXCoWs1dMJhRK1Ewwwr7YuTJqpawlGvT4cqq0WyocN4XaxMqKz+byaM2aC3irlQJaRSOZ6ZzzMVU2i+tkhsKY6mFYR4VdXQ1MJvUUtzWfUD6eK+MdXHoJbhFVVD1QplNa3wW9V/rytLRLFgGiN5xIKJjCjg8YiIIiyLYV4UBESPyB5PDs86afD5JMT1cvpHkkp/S1Ltiv9INMCFCzMMD3dz0FfdC92OSDRCe+DxiHzfcA+Ledl6hb7KusJhP/FEnFYXztD1+GjUc3w8mSdGCkEQWFpOEE5MQ6v1iruxjVgiR2bHYZZ6+jgiZSzLu4H5us0trDH+0qvctq8Dv9/5IW4n+GtTF9B69xQIRSJLPJklkciSz8uEQn6aIn66u6IMBdoJBZzD6FbTrluIosiBkR4ujc3z3EtX8Pu8BPwSgzs7CDuQxlxe5ol//gYPvftE0aws4PehKBqpKxfwRX38zB+eZjWZ46Nf+q+0dpbms0nEkjz6N0/wqT/6UnHbv/2eY3z18QscetshfvZ3P1jiJF7L3G8E4bBCIxavtnLkrFtmVFVAfnSaRAssrS1ZClCfePrRioL38T3DfOLpR0t8MvTtYGDaNiun1ajhnPJeGMnIq9MXkbNywfFb3PCRsDvGCKNgbz4n47mZtTQnx8f5mw/8THH7sb6RkvresauVr71xEWV1CWQNklm0vMrXrp9B8Ivg95BL5XhyaqKkz25Cr1Y6J+N5nJ4ftYz6YAzna4RxNdxqLKxyqZhN44x9tROiRUVDlso1G8YwuOYQt1aEI3SyvJwx0Z+OekylrI53SyLM/63Gw40vh/m3foyqFlbD7XLHGHEzzZJqfbndCHJiXh3U21uKZVmeW6atuwW/31sgdOtmmqIIgigyIqQRxRB3CgKC0LS+T6BfFBCECKIockEIcdCTQRBAEAokQtcuVLIr9xjzS3DjXsb79/dx4cIMU9eXGNzV7fq4RpsjWZlceb0ectkNslEPQiEfq4u5ItmwNF2qhiSMPwpD76y7X0bkZRWf10MupxCfGGdopL3iMamMzFp4G0tdvRyVMg25LpqmsbCUIDNxCWXqRTwHvsOxvHEcVVUllcqxNvYGiUg/8WSW9GtPEujbRSTspzkaYFtPC5FIqa+Flqss4tlpjOoJ/wvg80kc3N9HLieTychcvbbEN54ZZWS4i7Zsjta95b6E8XiGn/3dZ2n++Cme/PJ/RBQFzl2cpq+nCX9zD+/7yN/jaWvh//nrnyMQ9AOQy+Z49clzPPevr3Lq5BmOHd3BwX29nD0/Q1NTkM9+4VW+/Ttv47t++d/VFYVts7GZJlNbAbfIhgl2QpAqqyiXE6zcW27PaDalqZRx2C4krlEw0AmHcZuV1sROy2EO82p1brrAlUvl2Ns7SGdb0jFsqS7sPfKpx0oiWRkjblklJDT+NpqzWPmlGDU3Hr/E7ns3BElVVSGnQkblzq4+4tfjHMk3c3pxlr7eFsbS06gZGXwFDYh5HIznbzaXMf43k0bjyrbRx8aOXJodis0+O2b/G2M/AB751GN86L0P2frdXDx1Bb+ioUoCF09dqRiBqhJCJ5/iGcP/YPwwj3zqMcvIWPWSDh3VkEIdlUhFNWZXOlRZpRo/SDeEw04TspmwIxXGZ8dm9cfuRRdtCTN1WeXh3S1c8jbZHBMs66sZdwspoHo78s3MFl4JkiQR8EuMCSHc3jGb5fdgrldKJnj1+hLBaJDje4br8icJBn3MB8IoiorHI9btwF1CNKokHnZCcyKVpzMaIJPN09bsZzmWYWVNoKstWMyzYYSmaSzHsrTf1c+O9JyucKsLiqIytxBHfOn/sO3otzO/824SaZmWqM+yfDItk5hbI57MkkplSSSzSJKHcDJLtN1LR0eUaEsC78AOx3YrOdbbmWMZy9ar5fD5JJSpCySSIQ7s60XOK4ymmlFPXaGlKUR7W5jWlhCSJNLeFuE/vf8Qf/BXr/Olr57lUEcOT1bGq/j5wV94gcNHd/JDv/3DBQfwdJa/+r3P8dQ/v0hfV4QH7t3Nr/zeA+y68w7OX5rld/7wa7xxaY4f+60PcMeJ8nfkm0FAr4SbdQ5Fc8419zfHLbLhEtpCBiEoofoLDyejAFYQzAor9U6wW/XXYRVVxfwCdgrnagzLarRNr6RtySfzBDv8/z97/x0mx3VeicOnqqvz9OQ8mBlMRhgARCIJikGEKJGgkm1ZpoNsavnTyqZNrU15rd11Xid5Lcn0fgqU1zYlynKgbFnZpEQIpJhAEjljMgaDyblzV1dXfX/U3J7bt2+F7unGDEic55lnuiun7n7Pfd/3HACRDNlRFmSbX/7Eo1mkgpybUXkRCzZ7QI7TrERMFEVdncoDlDaX4cjQEFRBxd17ejAQuoajQ1egJVTcUluPxcEFnJibxB1dbXhtagxwZf+o8NTDyPHwmvhpENJIQIgIfS3Ia1YcgFcSR78mRMMweFZVNHfUQ2jT+1n6jp+1VJwiIJkPsjzdv0EyHHR2g1yjYvljGCFX9TG2nI6eBmRL6pL5mqJyPTZY9TcabOBOv1+v7IdV9qJQx8QjNUbBqsvjwvYSDcvLUaDavFG0GFjvYCIYjGNvW8ByObskI9+mcBZ+vwsPOj04Ek2kn9e8+0oEAZLkQPLqJYguR+EyE3lsh0c0VFWXp/V5XfB5XSi/4zYoKRWLixFE5kfgcrqz1onEFQjdu+FPFoBlAJBlBVPnTsM//RIq9+jZDJ9HQiSWRHnApROLQAvCI5cRjiURiSkQBSDQWomSEjc2NZbD7/PA45GgjcchNOl22lrEepSE5yHCGumx5nr0cjwn8nyIx+xiHOXl1WjdVAlt/DI69mzRG+Tnw7g2uYT+oWmUBbyolKfwi4c68LmvncOX/+4FfPuJ9+D4hRn81l8fx/2HbsEj/9878Y3/932EQzEcOXIRDTV+/Ouf342e1tVyqvmFCL78lVdw5doi/vEffx3JnuzvvvX+bigEbrRzKJip31sd2nISQpkzbWLGjvD2HR/BU69kmvDk2tuyIziBE/2DWSZUvUKUmzUw2hcbqNEeHDy1qs3uenj8qyOM9LJk+ccPPJCxb7pciJw365dhdHyEaLDkiD5OuyU2oijCFXDDX1cCsc6Ld9+7E1U91TgRm8WBtlYkwzK0mQR2yWVYHJzHPnc1onNRyGEZqpLtNMZzcadhJFtrVkLHkkyWcOQMFRgbmkr7a9glGixigbPo2deWZfrnO/IyvKGdaWdwgG/elwtyUZWiiQP9l8u+2OWN1tdUQHSsptZJds3qvrD3lCWYb2XYdd1VFAXBYAJjJZW21jeafqP0qLBQNc20cTpX0pCrtKwRfF4XREFAKqmb8q31eXU6HUimVNsmdOsJURTgcjoMzd3iiRTmnI2QIuGC7C8cSWByOoiK+ZdQuWu1ETzgd2JsKoxXT0/hwuACZi+fh8MhoLHGj70H34EDh+5B77ZGbG6pQlVlCTwrfRd2vTToZWgywa5vtQ3eenZBy9pGYgrKApnZSb/PhdbmStxSGcae2hgq5SnML8dx+vI8Gmt8GJuOwO+V8MMzYTRuqkIoFMNPffBzOHN6FIlQBL/14U489b/2p4mGpmn4+qtBvOdnvwRVcuLb3/nttyzRWC+s5Tsop8zGudkhuKPZIwFvC8RSABWUsCO9jz50X1YgypYTmQUwvUIUWlk5PgpAY+aRH1ujpmLe6LiRNC5b964qKi5PjuBg5wFgAel1adBN1+xoPvmheuLocxl9DIQ4sKPLjx94IIs4ff3hx/CRp7+QXiYXkH3SREeUdNdzf50ulffu1nKoigolloQSV5CMJhFbiEFNpiA6HXjp6jIktwPHQufx0sTVrPp9NuPC82HgXRMWViaD7P2jQSs6iQqgOYQVQnAWXmSSDbpvgwXrKE4/xyS7Qfd3kGNh74uR5K1RRsJM+Ytet9hgjy+lpKBpq/K3PDUqM/CyWNcTdnsysozZbMgempUhWc0HgFucMv7dF4DUP4HOnZsz9N156/CO50YODBwOEclkpss26aGwqypVLPhTcZy4cgm3de/I7hfMEYIgQCPjNoXqt+g4tOYsiZJSMTUfhZJSsbAYSWc5ktf6oWlA3fJPgFkB6DgEOZnCgncTZDUFqBrKyrIH33JBKqViYTGK6JXLqK30wrM9U3GqrsIHn1uC3yfB45LWrP5kB3bJCQ+59m/QmRBVVRH01KPJ78kqySLLeVwSGmokNNT4oKoqbt1eg2+/OIrha0H85+GLcDkdqHEn8YW//Fnsqcl+RpdLWvE/P/0szvdN4n/87W9g695OsIL51/O7pNi9cuvxvbjW76qbZVQ2IXYGgJ/MIjURhaPRl1XP/uQzh/HlT3RllNPQYBuH6aBkR3AinSKnpQrpH2ejsh56OpFpNSsjIT0XRNr02JULkNwSzi3wzQHpRnKrUhE60Cb7YUEfOzlemijQvQJ2wctGsNfhxdGRjHkAcHhgAHc3tUKJKnhtcAR7qxuwSymDCBHLVxbhcEuQvE7IJTJ2VGcaArLEj/ZUsYJZfw9bDscrXxJVQHUIkEt00mBGLghYVSoWhIAIx/Rt6YQDICZ/LIz6OXikhAabdeA9q3Z6ktYC+tlIxRXEl+KY75vTG8VFQHCIEB0CJpZKIKw0IgsOEQ5JhCCuyKBKDrx8/BxESVgx9xJtNZkXErn+4JiVZ65lH2ZB6s/srsfxY8PYHFkAVvT7zTIbN2oWgwev14VoVEYV1Y9sZLZ3vVFe5sOnduzBC9FV/4d8AxhRFKBqWsEbu9eyPU3TMDIeQjSuoK7KC0wNwrWpB8LUABzzP4HHCQgOnWgEIzIWgzIqe9yor3WvuYl4cSmK0bEFNIlzaKr1w+HI3p7LJaLK5bkuJKNQ4DX+2zn+yekgvB4nAqErttYTRTF9zX7vi8fhckkIBmP4jYe2oYtDNN6YcONTf/J3aN/dgc9++/fgDxTGZ8cMdrabq3lpofZbDBRiUOQm2bAJMeDErR/cj/OvXMaB/9mLF4az3VefOPocvt79GFdxiAaRuKVh5gwL8CVvjerK6dp0Xl/Cow/pr48MDWG/rxZOP1+VhDS+k3OhPUDYY7AalaZ7Och1oY+RTKeDWCvSwcrc0tN5+2bniaKIV1acz8VlDyo6KrGjugNKXMGpa31QYkkklmI4MnQUgiBge2sHgtFlSB4JUU8Uh/t0kvM4MpWpzswMcJW52MZwHumgm+gBvmwsUoDmyMxSkP/5NIt7QzvRcm8ovR+iUgWskgWeuIBZtsOox8OMFBIYfW54n4F8ZW/TWTCHiJKGEpRuKoOqqlAVFZqiQlOBsdQctpZvRkpJQU1pSCkqUooCNaVCU3VPBjWl6YpWKRWqpmH0zFWdrIgitm7eBNEhQnQ44BBFXZJV0t/rBAUQJQfEFWlWh8MBYUWlyeEQV5WXVlSXWOUlEuTb/VFjg3mrTMxaTaEIVI3N1Zpv862CciGJueUUmpt1trFeWQweRFHAt0ZmUF5XZr2wBXTPDhRFSSpfROMpBMMytrZXrEq/Bq8Ak4cB12rwv7CcQLSsBY1tpXA5bWiJmyAeT2J+MQJ1cgjhyRAqd9YauoLfKCTDyAvDLtGIVbVj7Pw4tnTVQShrysh4cEUEVkrxXjqpAADODSzg0Ht34/883J5xLVVVww/OK3j93AR+9MOz+NSn3o8P/9ztK3PfOt8hNG7EbAaNm2QjB7y5aRHij+JwD2joO5UdTPUdHwEeRloqtVeI4um+iYwfdPLA0OSCJRn0SCHvx5wd/TYC2zTLk1VdHFzA/m07MCiPc9el9wlkNjzTgTEJrsm5smVU7Mg1HTSyxwXkpnrElujQ73mZHvo9W8IkiiJcPhc85R6gXB+JVVVgd8dW9AdHIakSlLiCN8+fxS6lDIIqYKJ/Ek3eSizPBuH2uvArt7876xitRuhZpS4ziKoGxS0g5lsth6Ibvsl/mngYkRFCWPqOZxIbsjxr5khg9NyZkUSWjPAM/si2WXlmnnoXq5KWD2iPDVEUIbpEgBKIKa22bvBNb2uFrKiq/te0uV43ilsxmEulVKRW5qcUBTI1T02pUDV1hcgAqpqCqiJNaghIZkUUAQgiLgmCTlAEEZ2OOARBxLDmAUQBoiCkfSckIa7XqwMYErwQBAF1Dj/GR6YBAFscCSzUN8LpkvIyhTLKbiwuRuBySigpgCvxjQRheQnlrQ0Yefk85O4GuGOF6QHIB0ZqRJfm5vHY3R8CsLZARlU1iCQbQPo21pl0xBMKpPo2eN1UZpbpKVmMaIh3taKxttSwh8MO6JKpilI3AuGXMOnch3BUQWkJX21qrbKy1xM8YmF23PQzNn7qFMpUDWXhBLTw6rpZRIMhqrOLuq/JB3aL+Iu7+wFx9fv9xREHPvfki0gkkjhwRzeeeeY30d5Rm+/pFR12S0btrnu9UOjBkZtkIweITgeUW0rx8vdeBzatTifqQX3HRzICblay9uGexvSP8rnSxnRzBk+jnpfpII7WdDaAVdcBMpV32CCMLlNSFRVKQkF/dCxdAsIGefR/At6IPWmQJs3iJJhkR+/pUWszXwmzun6j0XEesTEyJSTTeM7sLFLxJAYT17C/ozdrHSWuYCwxh05xEzaXV+NM/zAuxAYwPD0Np0eCy+uE0+2CHJWxd9NWnFsYyioTsto/IQGECAiKluUeTqtMGREOHmhSQfeFsGBN/ciyuWSijAwBzciCGaHgPQtW/iTsMq+PXsUdHZsN+6FyQZqsoPCyt4TAaCsERHfLVtOERFOBZiEKTdPQoK4a362a6HmgrpjobVP1UcN+1Y2VSTgTAuqnLqK1qx6oLMn5+Ix+FOPxJDxefsC10cF6VNgtgSI/0t5EFOXlPoyeG8pyUc4Va5Uf5a3/4f336MaKa6z+U5QUJDZYX+cshzL8Yzg7fwGqCjgcSBMNVdWgbL4f4sgPEer9KBprAhCn+qEhv8A/Fk9i9sIZeNzSaslUxyH4hhYRiRmTjVxg597n+3xYkZ61kqHqCi8ujywiGlfSGSYrWeSjA/r3k8cJHOyV8PvfiOMTH4/hcqgEf/dPb2J0dBa/9mv34eceuh1O51srhN0omd1iZGHfWnfqOkDsLcPiy4MQa1xQ3WKWJwFgrO5BiIawvITesszpNEizOL09XrkSmUZ7XvCIBq/MCgDiwTgkt5RRa06vy/pF8BSXjIK6nn1t3HlWgbWR4zkPRhkMo7Ipo+0ZlacBgJJQ0F6+CW2bWjPmkf8vjY/iYEcHrmEOVc4KtGzfBFlVUeuvxumrfejCJpwevoTNvkaMnB3FfGQOk8EAnG4nnB4n5KiuikWIIws6qO87PqKnWTSg69a2tBoVDbr5265KFf3smhEN3vHQruYEBzs6bJEPsiyB3ewJD3YNANll9jduAkQh676uhXQUA3QZlVH50gRKcvqxCjHbqJtzob9/EtVVJWjvqEvvLx6XEYkkEI3KaRIDAG63BL/fjdJS41G6xcUIqnPIDm0U5NPAzVu2vaUalwamcObCBGqrS1Be5oPfl3sAaqdx1448qSyrkBUFCVlFTI3r/hiScfkQOSce0RKWl6CWliGZTEEa/WGGgMq6EQ0qe+GsrMDc9DT8XgnO5vcglkhhOSxDmIsh5b8LLocIp+TIEmSxA03TsLgURWjoEqoWX4J/W2YDuN+rS9sagdyvtWQ4aFnaYhCNfMASifKAC6UlLswvx+HzmAxirAgCTC2l8OtfTaI84ERzXQke++oiAODf3/w+mpur8FM/vQ9/9/f/Fd4bdACDYKOQCh6KVe55k2xwYKbxL/qdQLMX/gkZoTYxLR/KBjZ0MzUL9oubLZli1WLYHgmWUPD8Nch8lojQilGfe+PbuL0l0xSIp3RFZyx4RMGsb4I3jw366Z4Ndhv0iDNLuMy8QNj5RuU6dCkVfb5kXz0lzViOBtPz2etDDA0JTvQP6t4X4TF4K32oqq3C3U16zfapqT7cUbobyZgCOZ5AdDmG0FQIR0aOQpREqDNRNDZVYDA8jtcmxgCnmA7YSQAPBWje1oiBk6NZWQge0WBlbdll9BKqTIJBZ0fskA8Co8yFEazIANk2vQ8jAm2W7WLvPf368MvncOfOwhOLYipT0UTD6LvDDrKWqylFIODB4OA03nxzCJWVJZBlBcFgDC/OBbGzqx0OyYFuUW8qXliIYOzqPErLfGhvr4XLlflzEonEEQzG0N3dkDHdKkuQSxah0DD6oWWPh+fMzYPHI2HX9kbMzIaxsBzFlQUZjY0VaKuw595tFUhqDd1IjF6EMnAWsqJCllUkUyqU8TeRSKpQFBXyyv/EySmIIuByOiA5RDSnJqEka9HrWQ2Kjc7F6HyTs/OQomFIhGgQFSkWxSyvYvanaRqSm96JOi+AzVsQHrmEVE07pPAIGqq9cEoiJudiSKlqVg+BncBbUVRMzwbhmB1BY+glSO7svoyAz4lxrRoAv3zODjE06peg1+eVyNk5B96yPOLKvjY7fl7GIhpXEAzLaKzxWx4TOg7hS3/5LcQSKcQSKQQji+lZ//TPv4E9e9o2tAP4jY5i95TdJBscWI2oitvLUPXmQlqn5+sPP5Zh8sYGGXTAvqu2Cw/3NGbMN5KQJISDJizEA4AoOZkdM9tATd6TYPqhrltRUV8Of7kvfZxkH2dmBtLnxPZXsOVaRqPAZpKxZBs0+TEDe770Nozem82zGrkm8+fHF+HijKKQrA8bVBp5aJB+kL7w2Mp0fZSnobMOqqri1LU+ID4HyemAEkti9LUraOmsQwrAvs3NOPzaeUgRFVC0zBHEFfDKn1iiYRdm67Ekhs6e9B1fXc+sV8Zo2up2jA0E6eXp62tUXkf/52FvQ5NhE+dacD0kcFkvHivwMqj09F4hCo/Hhd7eZkQiccxML2PUWY53bWvCHQYlQIqiYHBwBsePD6Ourgx1dWXp/ozx8UU01JdlkBA6Y2BFOIDiqzfZJQ308eSa9RBFEfV1paivK0U0LuPipUl45XLU12UbHcqygqSi9/YkFQXyXBQKFpFUUlCSKSQVFcnJYSQVnUAkFQ0OhwCnJEJyiHA5RTglEU5JQMDnhCQJcDslOCURbqeY4fsxvTCH0RzG9Xn3LBZPwuN2ZpIMHqG4DiSDIBwH0NmOslJdvrZs1x49EK5clbNtqPZCVae536VmIAZ9JT4nKqq8QNWD3OX8PgmRWRlCL9/VnAbPOI+dR17bgRUBYffHk6M1IhlG+zPCYjCBEp/T0CmdxdkxXSp6U50f3/jqx1FVVbJhFNx4sDs4cRM3yQYXZpkNABB7SqH8YAJd23pw344e/Ueb8Vegg1B6dF6fZmxexevfoBuyzcqQ+o6PGI7e08cB6LKvu+Qy3V9jBXZIA2+EOJfSE6NgkT0nWh43HxgpcZmVcPHmKQkZnkCm5jrrpWEld0sEA+jlaFJybm4IkkeCWOJERUMFjl+ZQ9u7O9F3fARdt7TCXx8AgjOABjiSqu0aa9ZTg0W+ZIRs22hbRmTB6nNFYNY3QjesF6LUSU2peOnqFYgeKatEcS3bp+91MYkHL8vBm2cGHlHx+z1oa/fAKj8lSRK2bGlEJBLH5MQizp8fg8spoXVzNaRoGBHJA21xAUJFprEfG+AbBfzs+0L/iNPby4V05Aufx4WGulJcuDyJmbmQ7vuQTEFVVSSTKkQRkCRdvczpFCG5G+CMyZCcDni9LpRKDjhrd8EpSXDOD8IlZauU2YUkCuhSwgBsjDqvgD3/cCSBitg1wCMVl1DY3LaqalisuhsVK0SDFwhPL8RQ4nXC780Mf6yCallWMDUTREWpGyU+88yUxyVBFAVEhs6vqmGZwCxg581jy6fMMiVmTuBmDuOFKK/yuBxIKhShZQkiQ1LLq2tQEQ3jpz+wF5/54hFc6p/Cv33lETirq9d8LIWE1ffAemZnNypuOojnAdHpAAJOaAt6OcHTfRPpebQ8LP0jTgcu5zVf+mG1MtYif7TKk1FvAgnE6JF1NoAi6/za9ndm9WuQoNjI/4F1Vqb3YybNaxVg0udEVIeeOPqcafbGbJtG9fp2Hdjp14lYErfu0L907QSNdFmVUSmd3ePo2dcGURLhKnFhYGAcSokI1eWA4JNslSnZIRN2+jrIMrxlY4GzGVkOsgzd0P7kM4fTniu02hbPh4WsawcsyWUzGbw+Dnaapmp4Z2duDuUbAWZu2+TvesLv96CzqwG33tqBpk2VGBqchuLzQ15YxPSMngOmf6B5TrR2AnmyHv1XSJhtz+7IshXqlHG43LrrdmtzJbZ11+GW3mYc2N+GOzYlcdvezdi3uwW7ejdh+5YGdHkX0d5ajeamCtQpE6iMXUMgdGUloM3/J9zldKRNB/O5lrF4EpqmWQfT+TiLDz1rvR6HgEQSgLu5G4HgFcP7FY0pWA7LOR1OKqViKi6gIjZuSTQIvKEJRGJKTvtZK+yoRBm5kNvJYNB9JnZQVuJCNJ7EQlBXl8q6Z8w9/sOP70b3Jj/OnOiHElrEzGwIz3zrpO39FQv5fOdsJKlrK1yPYxU0zVoEPRgMoqysDI8++wm4/W8PB3GrADn+ZD9u/7Vbce8dt6eJhVEtNZ3lONE/aFhGxa5Lkxgge+TdaPSeXt4oe9CU0Ecaq1c04DMzL+A2g/OOwWy/bH8J7fbNngeBUf+GVUmOUfO3VTaDtyz5v6OyA6PnruJnPnwQpwaHMwwZ2ZFrupGeV69vlf3glarR50gCcNdiCopfQNcdHaZBuVHPRq4g2REjopEL2CZyM88NK8JhJEBgR42Kxsz5GVRvqc7JkC/XjMf1dhXngddUXogmRaMRPFlWcPLkCKrdGsIRGbt3bMpeucBY60iiYUlEnnXxZojGZfQNzEAUgO1bGiFJYlYQx9tnoQgPACTkFGZdjdjUWJ5XLfxUXIBn9AzKSlyFV5/ijYCbzV/B5GIKgW33mxKCpZAMr9sBt0tvjLe6l6qqYXo2CNf8FVTOHbE8T3KfhsaCcDgEbG7MTyDB7H4bZSnM+jty3b7V+nYxPhPB+HQElWVudLaUZWar6PtIX9eV6f/2ehLfGazD15/5zTUdQz4oRAB+I2Q31nKewWAMZS0fx/LyMkpLs8tCadzMbOSLpIYTs5MZfhp0QPl030QWWQCQJhp2MhtskEJnF0jWwowUGZnI7artQjySgHelPIgmJeQc6HV522DB80EA9H4WOsNiNqrP9n8Y1eDTr60kU9n3ZoEi228hx2Vs79iMU4OrBo68wJGQC57poZ0SK95xEillOkMAAIKqoeNWfpkRDSuTP7tgTQPXAt75sO/J/eSpXLHbYu8p209kBDJPVXT/CrtEg83s2YUdV/lio1iZDqMfU5dLQnu1G9MzIYxdW8TCYqQo+6eRb6aDt57RCK5Rw26u8Hlc2LVd9zXpO/qGYUBnaYK2BrhdDoizI1hC7gOIqqohPjOHEq+9Uf6cYEU0ViArKhbCKsbmVVwcT+H4sILhWQ2LwQRmF+OQkyp3vfKAy5JoyMkUojEZy8EYJqaWIc4Mo6LUlROh8nslhKPGilRWyKW0ii6HKtQzk2sWwwhNtX7c0lONheUExqbDkBXV3nXsOITNtxzAzPTCmo9hvXAjZTeKjZtkIw/0vTEELapA8EtZgQRpGgZ0YsGOcpMSKvIjbWd0kZblNFJs4mUw2MZl4mytKiqSMRnelUZOs14No9dsEzTtp0H+s9vd291pqiJ0ZGgofZx00G3mucF7z14Len2j3hD29d7uTiRiMkbmprP2y95zHgHpFaI5ZTPI/ukyI9rHAgCwEhwPnB61LKNaK8lgt8XbntU+jI6RmPmxpIO91zThYLdFvyfPGktGrZ4bNaVCtNEgmi/J2OgoNAFhf1jrakqx75ZW9HTVYXBkDqrKD/4KjbXK1bKZBFamtFAQRRHtLdVYquxAKLB59ZgMGoKLYQBXXe5B6ORrCEcSOa0XjcpwL47qvhL5lEmZgVceFVMwvRDFyHgQ5wcX8OaggmNDKq7MqojJGsq8AjrrRew9+CBqll6CNHYEk3NRXJuJYDGYgKpqSMgpLAYTSMgp7m5TKRULS1GMnTyByTOnsByMIXG1D2XRMdQuvmg7+0PuW4lPQrQAZVR27juvHMrseV1L03c+cLlEdOMYFi68gDPKravlZR2HVv+ArPK5VEqD5Lr+1TSFJAkbmXBcz2O72SDOgVUJlWdRheIRcPXSNTzhfw7AqqJSZuCZrS5lBpaY9ApR9PY04mkYS8jSpUl04P/E0efwOB5IO3uvNlo/i5/Z+g5MDE6lR3TpddkSIZLhYEuISG8HvS5b1sWWBu2qzTYDpOfzYFQqY2Tcx1Pq4oHO3LClVuQc5ZiM3Vu70dBagxP9g4alZQBf6pR+b1ZWxXNTJ+dOv+/a2QosJCBu8tvKbFg1iOeDfLbHNnwbyeWawWgdngACK/9sZHCpplQIa3AOvhFRLH13I4Umj0dCT2ctTp27hvmFKGqqczcMtANaJYocBzvNcF2LoIw3UpwrITDKkng8EjrUazh/uRwNQggt9X6INrIchYLLKaKyzINF1Ylc7kwoEtdLlew2cFNlVoqiIi4riMQVxBMqEnIK8YSCRFJF/MpRdNaLUFUBkdo7EYkpiJ2ZhigAPo8Ev9eJ6nIPSu66H77x5/WeFboc59qPAKcAjxMoj7yEeBIIxTWM1d+jm1qOvYSl5rtRUepGqd8JcfwytIYeLAVjCIXi8J75Cqq9AjxOAeh7Obu0J4fMhs8jIZnS5YhdrrUZOvJg1OBtto7d+baRwzUp94koP/hejM9EcG5gHl0tZagq92RuC8jYnlMSoKSuzyAFwUYmB4XE9T7Pm2QjR2iahrIRBZGGVSMkOkBn5SSB1cCyl+nVYJejncfZvg2ejCwdPJn1V+zt7sTBmdVl3zh9CR6q98bOqC0daBspK9FlUE8cfS5D1tZK6YcEhLmOIJsRHHo+7/qZEQcAkGMyPD6XnqVAZk8Huzy5d0ZypOwoMk0+eMfBHZlPqoBT/9EyUmyiQZdSrYV05LsuSxDMFKasTABZ40F2WfaZJDAtt0tplrK3b6WMxnoaSfm9TsQT+ZeUsLBDLqx+TM18FaxGh3MxUrMK7OoqfSiJRTE4JuPicBK9nZWmyxcafq+ExeAyYs4SeD3WZVHhSAKKoq6qOTHBpqKoOnFIKIjLKcQHX0Q8qSIx8j3EFUBTAZcEuDffAY9bgtfjQEWpG163iJPx/RgSBVRVeuBzOVBV5obfJ8Hj4oQqLNFgIAgCvC7A6xJw7dpPoKYANN8NQJdkXQ7LKO3YiujUMqQT/4B6vwBXKUUK6PPKox9FFEV43RLCcRmVLo/1CrCXlVgTCtVbY+SlYrbtlXlNtX54PQ70X1lGNKGgua7EkLRWlLmxtBxb+/HaRLEC8JvqVDfJRs5QB0OQYiqCrau60SQQ39vdifPaqooUDVryln7o6MZNuskY4Jc58DwcWPCUlR6581D6OF987Q3s37bDMEDjbYveH93XQZZhsyOP44EMyV5e5oJex24TN6vExZP6pf+T46QzGGxWgz0/gs1VNfD6vTivubKOlSVe+Zi4keV5BIYtJ+o7PoKRU2Nouw6NtsUCSzjo92ZEgyYXPKKRLyFQUxpEyZxsFMJR3Oy5KKb5H41iEw2rLILX60IslpsCkBl4+8o1UGAlPq08DQodCNLb8Xsl7OiswIlL81gKybZ9CdaMlQDRH7yKsLvDkmxEojKmZ4IojV7DnCYgPq9CdgURl1OQkyoSsoKkosE9ewzutjvgnj4KtySgqkSESwI8Ll0lV+x6L3f79dU+eD0OPQDlHGcGbAbNKVVDMgVIm+9B+dxL8LkBAXpVamTKiTJJREmZmNM27cLnlRCJKag0751Ngzbyyyc7YbleMZ3d6VIoi/1WlnqwuVHFwNUgaio8MKJisbiCYCiOpaUIysvtSzTng2KP9G8kwrEe2Zu3Vw1BATB3fBKxagc0TlMp3a9B5CdZ+VNhecmwVprt7SDTaL8Os3WA1eCIHe0/0T+Y7tdo9dahPzqWRW54SkpsvTq7Dn1cRqVCu2q70lkOo/p3I9LB1vHTPQ08WVyWfNDZFbveCXu7OyHH9cDI43Olrx1vORa51MGz2SEjTxESkAspDXDaqxs2k6sF+H0QxQZNLKwawNl1jEgJMaqknzW7xGCjlFHl00DODmiYkYnrkdGg/TLIH42KMi8Wl2PXrW8D4AdjVo3YZo3hdppv7SxjlBERRRE+j4R4a+H6rewi4HcicuUyFIV/fzRNw9RMEKdeOIqJCxcwMh7G5GwEkdp3wOEQUFnqRmujHzu7q/COW2px6/3vxy7Hm9jS6EBbrYj6chGVu94Ln2vFF4TU5jN/bpcDiQTTU0GCV3pZFiZBtEMU0FYjorm+BAGvAEfXgxC7HoSr58FVzwy6b6CA8K+QDTugxQdyIbQ0aS6UWhoXrHIU22eRw71ZOPMDXJkIYUtbOTxjzxsu9+d/fxoAMHhq/UU2CoGNUKK1Xsew/r+0GwxW/RqaRaxHl9PQHhl61iM7ECXSuEaj46zPBgEJynm1/yTgYs/lRP8gYuE4dnS342PvfC/XbM7onHhN5/TI/JGhIW7jtFG5EGlWp8FTrOI1fRu5pRs1k5MgnjSg20EyruDK/Cx3nlUwy1MhI6Abx1kvFkKkWMJEAuzWrgbAZu0vrSJV6L4NOygEmWHLroz6PsxgRj40RYVgwz282KVUhchskNJLXla12DBy+6bfl5R44BBFzC8U/9h4hMGswdtuYJdrAJcL0SBIpVQ4hk7ntJ81YSXAkxwiSrwSRq8tgFXDVxQVUzNBaJqGPe7juLP0FPZ7jmNndxW2bC7H5sYAGmp8qCz1wOeRII780HA/VsficYuIy6lMgmEEEtza3Lbt4zDbFzvNAn6vcZM4+yzk42NB1rMzLS/QJIIjTZvR4G3z2oajMvqFfehqKUPNwgumy1ZX6DmPS/1TeR3+RgSrfrcRCMj1wE2ykQP6jo/o+VfGmYQEuA/3NKbLonjGWr1CNOMHmJ7PIw80aCJCVJ1odSq2zIft6SBN3h01dbiyMJuRhSHL2y3pYFWuAD1QpskLPdpstM2nXnk2Yzs0WbAiBWxWg5f9ePzAAzgzM5CR3eBtm0eguuoasHtrtpQtm+Uh50q/54EEgSTbxVvOLKjt2tMKpFQgBz8II5DyJbsBez7bN3vNk8C1C3Y91gzSLpkEdPlOweJ6bkSiYYdMXC/iYUQ0COjprc2VGB6dgyznr9DDyxywf+zyRtvJBzx35ly2b2SsRt4nkio8LUUYlbaB8oALE5PLGF1WsLQcw3Iwhtm5MMYnl+B2O1GXnIDXJZoHlixJ4AWoJvCOv4D4yKu2l0/3bFgtu1bFrDxJSonHhVhCKXpGr9AeLACyMxk8T4wcs0zhqIx//eEwWhsCmc3hBusQaeWjx4rzW0WwHgE/TTp4ZqVmfzcibvZs5AF2LJQEvqyBH5lmBhKsGvYurGzro/U+aCuNyryeCQJ2Gv3+qVeeRdWCHxX15Rn7J4pVZsdIG/7Rx03vg0wnmRAjgzt6PfrYjUz/6GlG7uBAdhaE7dMwOz8W8UgcJRX+rGWMXMFZYz9WiYyAZ65Gzsk0UFaAsf4pbG4rTvBrp+HcLuimb3YfRvsxUoyye0x0GZ1dwqGlVDik1a9A3ufJbukdD9erF4M8T7SwRDFh1i9hVpNcU12CxaUIhq/MY0t33ZqOYa3+Ablsw6y0JdfjMDNdm1+KQ1M1BEJXctpmoeBwiJCWrsF/LYRkfSe0qUG4rh1Bgxtwdj8I0NKvZKTbSo3KKMgn6zKlOJ6eQ0ikZgCcMj9YmtSYNIln7G+tMFKmMsmuuFwiXE4HonEFJb7MPpy1El470rYFzXCQ//S945EOk+vxq3/2Kk5cmsPHfnrlc2BxX7xuB0pK3Hj//b1rPYO3FOjv4Fz6QNaTqNzMbFCwKqECAEEBNFHIKhPhGbrxaqp5KlV2gxm6B4SA1wzOC7Z21XZhR2VHhr8Ge7y8EXergIl37ISc0O/N+kB426HldI1Urch8dh3S/8CSGSPwRsTj0QS8fg83O2NVdnaif9AwuwUgoyzuvOaz1XsydHwEGlPyQ55BMz8LK+TSP0HDymOD7bGgsxrsvmiDPjufQXZ9M9dws2yHltIgrPhsGPnIbFTQzxabxTAq17weYCVw2R+3zS1VmF8M553dyKcWvRAB11q2YVQuQ0NVVQxcXUZHs81O4iLB5XRAkkRUJ66hpsKDMp+gEw0avBIns+wCW8LEK2laCVxdLhGCICAu55AJYINbOgguVkN0DkpVPo+EcHTtfhtGMCOwOX9ejBy9ee/pdSyugaZp+M6LozhxaQ47mu2HndG4gnA4geWUw3rhtynsZjzWOyNyM7ORI9xBFeHGzAefDkzMfvDJfKMg1AznSjNlc82CaDrIJuVJjx94AMeuXECTtyrLMdkqq8GbxvZw0EE5K5NL5luVD5FRZJpo8M6VnB/rGE3Wp302rBzWeVBVFXIiCc/KSBR9zOx50L0ndvpfeKV19DkZZW06tjYDBmZUALLUmszKlOwoQLHbZGG3D8RI2pbXj2GX7NDL8a6XmcIZPU9NmZdRsT1GuRCQYmU12MwFTTjoZUiWoxgkw0p5yohoALqzuNvlRDgqo5InZ1pEFF1W1AB2HJ3nl2W4XVJmaUmhYSModDlFJJIKgJVReLtlUGZlNez+LY7DM/sm4nUiPLkKchkFx7xjK6YqE4O1OonTYMvvzLJ0ls85z6ndznUxIpsGy4WiKu74kxiSil5//n9+wb5J36tndFPdd96z1fY6b2fwFK/Wm2QQ3CQbK7AaUe07PgJoGlwhFY13tWfMIyVDPNDkggQEvUKU20RsZq7HkhgjXw1eiRLJDHR6G6ExA0Y0MSD7owNp3n6MTPNIDwYpuWL7TMzA7os0ddPeHYRgsM3jBDTRMDP3M1PDAoBoOA6X24kzw1e4x8qaHhoRMrYB3Aw8c8EMKGpWc7iZcWHPvjZbhIuGHbM9ktHItemct71HH7ovfWxmxIZ3nPT50WAzFOz1zHjOVFVXxoG1xO1Gy3QYkQ56Po+IrBWF+OFqqC/F6NgCKsuziZAd/4q11Kfns14u5Vb5HtdiMIHygLXHRbHhcjogJw2yCrmWKxn1b7ABLVOS5HYCcRlArjzZiEyYlXrxGp/NysPy8KlQNQ0zCzF0tpTltB4PrLt9QWD3fOzc+5XrEwzLuKrdhmAkicc/+zqSiobf+6ALv/QOJ9/biHNdr0yEMLsQBwDUN5Rzd1kIOdnrGYwbyWsXUj1so5ALFjfJRg4QZQ2iBsAvZQRyR4aG8Mid+jLpG12qE4wdwQmgNLum2sgYz87oOA9Go7j09FgokdGvwe6T7TtgpxMyQRMAmmDQfR000bBqFOeRGtLcTZ+DmTwua3BIK1CxDtNGPSPp6xSJw+NzI4oE93iNkN23sdrH8zDH0JHMJzAiGgc7OrAoLOLE7ATUuIKDPV3p7JQZkTCbxzMNpPspzLIfhVK3ovfPKk3R5Ve83o++4yNZRNQuyLK6z0bhK0mL2athN1Nh1r9xvXo7jNBQV4orV+ehKCok6vrnYpSXD4qZ0VjLcY9Nh7EUTOCWnuoCHhEHNrIKLqcIOZcSprVmCDjH43GKiOeaCLBSijI6TiMCws7Ls8F8ai6KyZkokgV0wTZ81nIhQlYELB+srKcoKi4OL6Kpzo+A34nlsIxf/dAW/PKBa6v7tDjWH/7Hd/HZH0koL/fi4Lt2cJdhM6gbxcOCBzuS2cX87tsIuNmzAfsjv6pbRKxcROqNuYz16ED3XGlj+qFn1adosETjkTsPcbMARsTDKKBh1XnIa1VR0/0aVqO4ZESeznSwJU6sLwTdEE4TFPKa1yzOkgyeohC9XzsGawc7OrL8Kli1KqOafHJs8UgcA9O5Se2x9+5E/2AGsSSgg7xcSOWJpSnsr2vEbqkKP37xLJ7/8Rkcfukc1OkY1MUE1JAMNZ6b6gl5bml1KJZcsIG+FdEwK4Uyy8QAetaE7QUxch0H+FLGuZAOLaUW9BuQlXq+3uBlO4xU8dYToihCkhyIX7mYnmam3nS9y57yQT7HGYkpOD+4gOn5GLZ1lMNlU9Y6b9gIIt1OBxJJ43LNfLZpezsr2/I4gXhSs1ihgDDyiKCn5enDEY4mUVXhSTeJFwrcnoxcjs+ISFk1/LPb4LjHj0wE4fU40VxXgqNnZwAA7769ybjUjkM8XC37sBhW8KPDv4c/+/Ofy9p1IUw9810nV9wI31/XA2/7zIYdokEHPEvtTnhPLCD5UDIjeGIDaaPeDTKqyGYw6NdGAQuvuZyADsZpEkRex4NxxGIRtEmbs3okeIpR9L5oPw16+wSkZ4HNgrBN4ixBMcpe0O7e5LWR2hCdubCqq+c107Pv93Z3IhaJw+1zpt/b8SEh50iDlMoZ3U/arJHuQWGb4gFALHPhn984gZ59bRBa/Rh4cwSiqgsWCKpu+CeqGpo765ESBAiSADhFXSrXKej/XSJEScx4Lox6KtYCNhthpzSKkIzowbsgHFslNGyfB6/cKh/CoaoqVBXczIYdUstiPUkGDV6fRiHIRaF/lDVNgyBkB01Gja1k5I8tPbjRfsijcQXLIRnzy3EEI0k0VHuxrb08Xc5XNNgc9XY5RSQNjP0A8EupeNu22Z+RUVpFkY250BrJBhvYGh2PkXQrT+XKTNaXXoaa3lIfwPFLsxAFnVz6PGsLuQryzPOyPnl4iGDoWciKiuUoEIwBwZiKaNV+xC+/hOYqEeh+H/7+W30AgNaGEuN9cK5jRfAESgMeBAJeu2cFYGO5dN9o303Fxs3MRo6QKxyI+YAj/3oMADJG3XlBqR2XXzaoMSIeRHHm4Z5Gy+CGHUV+5fIQepszswjsPulMBlsGZRTAEbLCZkF4IME0+SMBtlH2gkeejI7B6LzYZWgpXDrDQW+jPhrEbTu25eQ9wmJvd6dh6ZSd4I/2HTkyNJQRXA+cHAUkEapLhCt1C5QSEZK4G4kKCUKrH0KjD6h0447udtzW3Iz9lQ3AQgLaWASpkRDm++ehTkahzsbR1dEENZxE57ZN6HtzyBYxyBd9x0fw6EP3mUrg+o68nF7WbDtWYO9vFlRdyZMX5Nl5nmgUm2jYJQsbMYthBGFuDDGLkV4zzwzaNTknFGokPkeoql5acmbeh4VgAhWlbty6vQZtTaWFJRomjbq2Mhsu0bhnwwi8oDtXNSgq8PT03I9EzW2575O3vXxgdL2szomznsslorrcA1nREImtvUm8WAaUXHDOMxJXMbmo4vJECseHFRwbUjGxqEIUgJYqEbd5T+CWVgciCQ0YehaiU+/yJ83hdqBpGl4fUOExIGYbtSeBRiEksd9qeFuTDbvlUywWO52Q35zD4Qt9WcEx6WEw+kDQI490xoAtIWKbtXmgyzasgqK9lQ0YSqw2pfMCMbtBEwn6iZEfu+6u2q6MsrCnXnmW22dBw6h8ygisASDdOM6DZQP2yjnIcRlXNDcuXLuaNc8MRpktUpLGlrSQMjWanNHX1Qh9x0fS5UYkG0D/v/aTMlx7tQwDF8fw+vIkjkVnUNZaDnGTH+++7xa86507EdgUwJ29XYAk6I3nwSS04TDccym45xW4FlNwLqcghVU4oirEuArIqr5sniDHy953Qhzs9IHkItFrJnkLAKqiGmY1zCSkeTAzc1wLaDnb9SQNxfhxb9yxAxeHlxBfkcC9Ucql8sXwtRBUVcP+uji2d1Sgqdaf0a9SEPCkaHMsA3JJEmSzMqpikrWV4/O6RSSSKtS2+20tn8u217QNevkc1vN6HOnMRj4oqtyzyf1UB36ApaiK0TkVF64peH1AwbkxFQsRFX63gO56EQe6ROxqlbC5RsCbQyl86XASFX4gmgDisopf2hMBABw5PmH7mn353y/ha29I+MRvPWi9MAc3Ahlh8Vb+7iN425dR5YNkmQPJEhHuc8s44tGDJxLoPvnMYfz1XfcAyE7p0YEmeW0noDnRPwhQQWt6GgVaOpUE4iSDoCoqfvziWQiaH7d1ZjZbsUE9XTZEq1KxIM25pPn5vLa6fsZxA1kZC/Z4WRLABqRsMzMpM6K3SZrC2en08fPKqOhlzswM6OVmczFUqBVZKl28Rnoe9OuRfa/T21q5lzRRJOf3+IEH0ipa5LwJwSCIHrzLcN+ruAtXj7yMlntDGdfuxVG9sRo+4L5923BkaAjvbGvDjw+fRaLaAahA185WDJ0c1cu0UoCY1CCpGgQVgKYCDt1rRhUFQARUAYAEqCLQ9+YQIIpZ5U6xwFl4Qztx9YUAWu4NmWYnvKGdiAXO2uohsYLR50tVVIgOjioKhVwVqPLNgvFgpjZlJa+9FlyvZstNmMZCiRNDYyFs76jIPAYbwRVdbpVTaYlJwFPMsqxgJIn2TaWFJxh2YbeMaqVvRJZV8x6SNXguWG1PFEW4nSJiCRV+k+Vsbzdfydt8iQiDVEpDqd+5pp4N+jNhlvHLAms+SIM53risYjkGhOMrJVEJwO0ESr0CKv0iNlcDfg//mfjG60n80TdlAMC3jyv47C+5sBQFbu/SbQJ+/wvHMTUXxaM/+wAcV54zvbbfPzqNP/zjn8UDD+zKmmeXSNgppyp4aSin1NMubmY2bsIQ4UYHIm9MZ6kgAcAtX30q7YthRA7yARtc8DIbNMlIG6VdGoDgFHFfV3YztlkJF3te9HtaeYo+HgKS4aGDPbq3grdtmiSR92RfdvwU2H4Oo3OkwRKWVEzB9sZ27vmZZZuMljXqs6GnE0LRd3zElHzaIxmZy18WHkxv+8lnDqcN9J585nD6+VCTKnY3N6Hn1g5AEiH6JKgeEYpPhBIQkSxzQK6QkKiSkKgUkQiIUNwC1BW7GYcCSDEN7pAK94IK95yC1NUIRn48CGdQhRTRMyQJ52kk3Kdx9XkvvMvGjrBmWY5C9ZWoqgoUoU4+3895LpkLIzO/tWyTQCsrt/TRKASEpi3YVO9HwsA7xuoHm/1xLsSPdVHVqgQBqQIqEpkin+wDXfrjdEBWDALjfIiEmeGfwXy324F4wiI4z+U816l8DgDkpIqygAtyMpWb0hf4z3VOz7qBXLGqqgiGZYxNh3FxeBFvDio4Oapienm1JGp/h4h97RK6GxxoqBANiQYARGTgzt11AICJJQ21pSLmwyp6Ghz4k5/VfTW+8K8X8dD//DH+ub8Lc4tx7nbiCQUzM8toaamyf47rCJKRNfM7uQkdN8mGDfACnEidA1JMw8wZXbWIBLakFn3/J34bX51aDQboYNRqRDKfOnHWeyIjOxBTcFt3W0YA/cidh7Jq03lmfWw5CtmG0eg+KSkhmQZyHCwxoB2+jQgBIQ9GWQ+zhm/e8mYeCmR9JZGCy5urm1Q26B4etlyKKFUZBYNsJqdnXxtigbPpfgbfkZfTr8l7s+lsuRUtb9t3fAQv9g/h9MwkAN37gt5vFkS96Vz1iFB9Ijru6UD7wQ60vasTiQoJiWoJLfd1QKh1Q/EKSK1YBwgpwJHQ4J/rgKqehTMYhHteQVd9LVzLKUghFWIsBjEeh39+C8SVsi2euhbtep5vKaRmI7PBU0ezQiEyG3ZIQj7GoLmAEI5ikQ5t/DIkUYScTCEclbPm5bKdG+EHvr7Ki+HxULpsbF1g1M/B9Bq4nCISZkGxVcP3GqVTAcDtciBOE9G1SOxalZAV2eBPTqbgcTvgdUuIWhEoC9DPu23S0XEI0biCqSUVg1MpnLqi4OiAiv6ry4jEFFQE3Nh21/24o0vCzhYJbbUiqgIiXFZZuI5DSCRVfPo7Ccw7NiMYXu1JOTqYwnJMJzU/d7sTn/lFNzwuB2oba/DDEws49Nhz+Py/XsBffuUMvvzDWYyMhwAAr5+bQU1dBbZt25TX9bmJjYubZVQ2wC3dkETMb3PhjSffhOdX2jE4NpUmGqQMRFdeeiBLrYg0DvOM/cjIPu2BQcAtyUFm6ROd2SDvEUvB6XNmBE1W3hekJIQXaNFytgDSJVQ0zswMZJQ08c6RgA727fQt0NfHTi8GXUbF7puFElfQHxnD/prtWWTKKCNDQ78mUTxy56GsRn9CsAD93pN+Dt7xsIpRPNDEQjj2RQD6c0fUnGIBQDh2FrEAVt7zMwZDJ0bR0a0/k7TJHm+/RspVrC9H3+lRwCWmPwve0E5ABJQAIGIPkpIKUd2Ja5cASa1E3HsRCX+f3ritauhoaYCWArSRCFIiAFGE4ADgEHBrawtESVfWEhwC4sE4HJIIYWUa23DLez60lAaBZy7FrJcL7BAN9jPMc/6mYUUojMr1cgFdclDMjAZLCkpLXHC7JCyHkyjx5Ubw6ZKFG0GVqqHGh1A0iauTEXS3rt3cLQtm5Ut2gn9qXaeUR5M4u598y6lW4HE5EE+kVsmLlYrUWkgOWZ/ddi4ysCaIxhT4PRJ8XgmhqIzygP1nnfVfYJ913nMvyypCURmhaBLBsIy5pQQgALUVB1CSPIqWKgEBL+DqqdHPsSZHs8YVhKNJ/PyXJAyORQH0AwBEAeioE7C3zYGFsIalKFBZArx/jxMLYQ2Hzw/i6//6ezg+uIAvffF5NDVVYnx4Hk9+5TK+8ZX/gldPn8Jtt/G/Rwvx3VSo77eN/n2zEXEzs2EDRqUbsToJwVYnwv+2OlJM19aTIJI1yjPr12ADT6PSG7I9dpmM8qmhIaiqCi2pwuV3cYMnlnQQGVt2u1Zgm2R5/hn0MZLpNOhzZzMiNMg01k+DB/Z68gJ7QlhUVYWaTGHvpq3pebwMklXpmVHQ9/iBB9LPANnu030Tho7ofcdHcPWFQIZrN00YyPuWe0Pp90DmyD95zb6nIarAyOVs4ssDSzRIdoR9Tx8z650RPXgXovfdA0gSIEnQXC64U7dA8etlW5K4G+ImPxytfgwuzkFo9kNo8ACVbtzZ2wXJq6dLlIQCOSQjNhdDbbgMS4MLmLs4h7mLM5jvm0PVgh+1wQCmR2bRlKhEeDqM6FwU8aU45IgMNaVCSShQOY3vxXAMJ4TAqvyJXSeX7bPbNiMgxcxcsDD6cRZFQEnlLnNKB105j/SuExprvFgK5mYUaoSsc+VJz7KwswxMvDasSqGMpuXiUUHkb9nMhs31TKflQkbyaATnQZZVJFMqfB4Jfq+U1SRu9sySfiTedEB/7hVFxUIwni6HOnZhFscuzuDqVATBsIz55QQ8bhEBnxNxOYXlqIprC+pq1sLq/Oh7R4sODD2LxfM/xOBYEABw322NOLjdgYufKcH3/rsf7bUOVPhFLEZWN/X+PRLOXlUxNx/G3r3t+IenfhV/8qcfxuc//1F0d9fj6plzeP3yMu54R3f2OefpoUGvt1Ebxzf691ah8LbObPBclHNFpE5E6WjmjyUJ+khm4iNPfwFf734MQHYTqdFIu91gZ293Z7o/ggbZ7uFzfRCcYpbyDlu6xAbMtMoUr1GcbpTmLUvvg0eq6OlmJVBsDwcNI9JiBvZ46GsgR+X0iLnRukA2yTPzVzEqNSNZjd6VZvKDMx2m50qDNFjTQT+PELPT6BIpGsNHhtLlTuz6PPduAqtmbZZkEOLhO/KyZf/J1RcC6c/RwOnR9L495R4AfNGBFmzCqak+7KjsgKLoJCKV1EuxVCUFTdWgyEloKRXJSBKaBiwNL0JdCXa7qpshivr9n1iahGMlSyI69f+CKEJ0iHBIDgiiAFES9PmiiP3bsn8gadBEgwcjP561Yr2lb61GAJvr/bgyHtZ1+G2CJhpvlx/qnEEHkVY+CqyhmktELM4J9ItVPkWvu7IPj1tCQo7yfS5yQS6Ex67reA6IJhR43RJEUYTfK2F2IbNXIZcRckVREY7EERy6iEhMQTiaREJOweuWENjchQpxHC31fvg7etE/OIv5wcvobClFc10JVFXFUliGHBMxMK3isuMAulVVzwLb9NQg90nTNCSSGr411IY9W6fxRx/fg8c/9zo+9Z7MH5EKPzA8o4KMaVeWiNi9WcQ3vn0Sj34ys0zK5QC+8+IopmZCOHCgsAM9xWgELxTeTt9fb2uyYRdmQVXKI0BUACGpQnOKGSPPTxx9Lk0y9n/it/HlTzy6GpBzSi7MSnx4wT0Br1E6HayKgKZoUGQlg2CQYI0u96H7J9hsjNEx0XjqlWfxyJ2H0uSHDQhJJoJu5OadMxtok2VIWZaVF4fZdeQREzItOh+FRGl70ypb7HnzVLforBV7bej+Dd713FXblZGRImTi6gurQTr9bBll22iywiMuPMKmXosAFe70NDODP7tqUIQQ0YSDJR8AP/PBTmPPnQZLynfX9wAAJFf2V1vAMWe4rqqoOkFRVaiKCjWlIrXyX01pUJIpqCll5b1OXDobG1feqzj76qU0GREdIhwOAbVN1aisK0/vw26pE88ro9D+GewPcDFG/ez8KJd4XIgl9Otu12/iRi1hWAzJKM2hhMYIeZWNmXlhMHA5RSyHZO48w/IongmeXXDKlTxuUc9sbDXYplFJlZlLNbseb5trLP9iEYkl4XHrShrkWdcauiFM9nONKwlSdd0IL0cRCicwPROEOjuKZFkT3C4n/DEFpe1b0OBzIRC8gmhcwcDoIDa9Yz98HhciURnzg5dx23vugmN6pbxJFFFZ6gH2vheVfT/AyWACMwtx1FdbfB9xrv1/HFPwe99IALiId9+7BU27dmNk/HnsbfOtmHXq5anlPkBOAVFZhW9F2ezxQy587B9eQ++2Rtx9oDNdvimngMNvTOBr//goSko8+Vzqm9jguEk2bMCofh0A4BARq3Gg+kISlR9b/fLoO65LjJ7oH8TBjg70HR9JB690sGk3u8LzswDM5WkBQPRI2L+tHQ3Rcsy6wqbqTLyGbV5wTGcwyDwi10q2Q8ALbnk9GkbL06D3wYIYxvG2aQSWGL0yfgLbGyl1r55GS58TgJ+9sHKhZoNFIgNMjp/1n4gFzmYRALNnhyZd7HI0CTkyNAQtBQjOzP4FQjh4jt2AxWcCNGEJZWQpAHAJCI9M0CRDXy5k2XNjF+x9ESURLsleIMgji6qqk5OUokJVFUxfnUcippfM5EsMeMQkF4M/o2U3UjkBkVdVFMC19jh8Q2N2IY7mevsZHCMUjGwZBPFup2Tcs1EovwqLdT0uCZqm6RK8a+3HoPdhx9GcJxdr4/x4JDCeSMHf2g1gFu62bXAu+BCNyiihiIYsKwhHZYTUWoSv9CEaVyBfc8LjccLvdSMYTqCrxo/6ygScrR3QxqOAOgWhbAu0sIjp+TjC0SROnRmDc3kCybJG1FZ44JjuRySmwO+lwryhZ+GSRLRWBjB8LYjKUjcyPnZG15oqK7u/IYlnTr+EsakwPvT+W1Did6Gxxof9fxDFYz+/DY/t0z2qRFFEuU/DYhjwVeqr72qV8L9/RsMnf/ff8fm/eggH9rdBKyvHZz/3Eaiqhra2muzruoG+r25mNfLHzZ6NAiDlAnyzKaghXY2BBFqP3Hkooyn4ky//BMCqoRsAbhAIZJcsGcEo60AHmG+Ep6AkU9gs1GUtxyt7ovs2zPZFSAchVHRGhD4Ho2ZwGqw3CL0O2Tb5T0AyJXZL4eh16WMl09v9jXCvNNLzroFVAzAJ7ogalxFO9A9mGfyx6mBGPRdmYEkEew3pzAmZr6orZn3SKtmwsy+aaFhlQYyyEjSR4s0jpVZsrwqQW+kcD2tdn4UoinC6JHh8LvhKfHo5nmP9vl7Xq3yKlYK0A6dDRDIPWVjWe2CtgUAxf/yXQjIURUVV2QZhVCaZDpdTNDf2M4KZ2lUeZEFXpFoH9a4CZTaEpi1IlDfD43amn60SvxuTMyFcuTqP8xcn8MaJKzh2ahSjYwtIJJIoK3Ghu6UMB/a3Ye+uFmzprkNdTQAOQUh7tNDeMsGwjOmFGPZuq8ae2hi2tpVhX20CnS1lWAjGcfLSHM72zyMYzsxUNdT4kEypOHpmGv2TKUwu8pX/eNejxOfEP/7pO/Ghg2345O/+O+LxJN7/4B4AQCiS6ZJe6RewGMnc7oO3OPEHHxDx2Kf+DT984RIAoLW1mks0NgoKpXpH7t3bjWgANzMbBYEzotfaTPx4BJFNet1i3/ER7D/+2wCAJ/Aceva1rQR7z6YD2bX2i9Ag2+T1b4iiiGn/MlLjKWzd0gogO9gy6rsAkNWXQU+nt8UqRJE/Mp813GMzFUaqTOy2aRiNdNNlVbw+DZ6p39zkLMq9FdjbrDeI0yPL9HnzSBcJ7p565dmMa8BDRkZkZV1aGpc+d7qkygh2RvrJdcp65hQNY0NTSCyufhXYJTcEuRrtAbqSViyQTTR4JVOrmZBQxrmyil8EvJ4co/K5fBrB7fis6A7ljoygv5hStew+eGTjeowQ5lPiIzpy96CglagKBXp7hS7VGp0Moa7aZ7tU7LrAYLTf4xKRVDR7pW2F8K8wyDa4JBExWUEpciRoVs3qucBmVoU8N+zzKCdTcLml9PNUVdGImbkQRJ8L1VUl2Ox3wedzpa+zNr6ob0cU08+j3+dCzN0MoWk1GF+8fBYj4yEkkym0NQbgI+W/1KVKKirKSpyoKHPj4vAiSnxObE6oKFnxy/B7nair8kJV34mp5QQWRBHbrUQAVq7HMy/L+Pvv6MpaJ8+M4bs/OAkA2FF6FcBq70ZlCTA0jaxn6QN7nSjzKfjvf/o9fPbzP8Zf/+lPo/eO7dnXdQNkNW7Uss2NhqKSDStJ0o0Au2VMRmUjjkgKniV9ZLhhez0Gl+ezlmWDxY88/QXucQDmfRs8sI7WvGved3wEBx/qQKmzFLOjc5iriGQsS0b5eQTEzMiOgG32ZnsEeOdjR0mKBa/Pw6qUiOyLNfxjsb28DWNlLgTdchbh4mU02PkkyCPBK1uiRS/LlqCRjBcbGPNkaHmlVPSyNGjCxVvmyNAQ7t7Uisi7q3FK0H/kzIiDVXM4r+SKtxzdk8GWSmWUTR15GcDOdIbj6pGXcQSr58SSXbYfiZ5nhHwJBw3e85FSVWxzJACs1h8XgnhYNY6bzSumvO31/kEulolWMc5jaCwIVQWa64pPNvMCE4CLoginJCAuq/CZGLll9UrQAb3dpmP6NXMcHreEeMIGCTUqeVpLw3eOruNGxNchCkgpanpePYD6ulLTbbHb8fvcmJxeTr9XFBX9V5bQUOuDzy2hqpzf46CpgMMhormuBA1VPozPRnF+UEXAq6I5+gMkxlQ0OERIkghf3b0YO/E81NZs6XBek/6Dt0j4i+/IeP8uDeOTy5iYjcIhCnA17QFwLr24SxLhc6tYjABVgczN3rNVwiu/p+KP/j2Ebz7zE+zY3mTp+n0TNy4KPsxCj2jz5r3VUHdST08KNR4I7VQ9rqah8pKMhqMxtC97oWl69oMXFFr1LViV7zz1yrM4MzOAJ44+lxWoAqsqRBUNZRiYH0OLWmObCNIN4kbHYaQ2BWSSATawe/zAA5b7N9omDbO+BKNtsEhEZTg9zgySANjzTqBlf80a6tnrdKJ/EE+98mzG9aGPn8jIGhEN9nzp8jP6vRmZfmlgGKLLkV6Pl9HgZVaMluORC7pHo2dfG7dR3Gh5VrWKbP/I0FCWpLJdgkFg9D1VEKhauuyBRTEyHFbbJASjkESjUKUFiqLCUcCSs2KUKKiqirisIBJTsBSSMb8Ux9RcFOMzEVyZCGFoLLhCKlaD47is4OSlOSx767G1vWxjZTUs4HI6zL02eCpPRkE+Pc8InPlul8PQYT6v0iyjki6LHoV8oaoqojEZbo5YBQ88Tw0A8Je4EI2tlkENDs+ixO9Ec12JIdEAgFhCgc+jN6dLoz9Ea/Rl7GsT4XeLOD+uwu1E+juqbObHEATg6ICKkyMKRmb0sqpoQsXliRTk5vsztl0dEPHbv9yLa/Fq7KpLYlOdHz//QDv+4qnTWcehS+Dy5a3dThHu6hb4a2ptXaMbHW/nLElBMxtmP9z0qCOQHRCYBb/FzpCsRQJ3sccJxS2g6lIc4uvz6HmHHoR55lPwzqbgOdSE1CuzUGQV0gMNUCdjgCTAUeu1vQ8jBSM2m2EUYNPnFthUiqWpZQzFx+H0ubKMA+3snx1JPjI0lCYO5DiM1KZoYz2ze8qux+tD4J0jq8LELs8qchF01TVALq9K91tYZTPsgP08GH0+jHp1eBkNI+JhBcNnXFFxbOoaxOSc6fYJ4aCJB31MRo3kQGapVN/xEXiRndUgy5kRDRbsd0muxKEQWQ0jpFJqWpUlX/C8MowyF2YZjWIQDRqF+AHNtYzKDrSGbqTGLkNRVaRS+j4UVYWmAoqqQk1hZZ6GVEpDMkVeq0ipenZKUVSkVA2qCjgcAiRRr513OARIK6pjzpXR4YXlBEbGw2hrKoEoihhN1qC0vQ6d7nncaBXLLqeIRFIBzEqYjHw77AboFupPHreI5VDCfF9mx2MXZupaFjAz2buaqoHP60JpqT11JSOS7PO4oKoaYiPnsexrwXIohls2GRhDUsetqoBj/GWg6b3pay1JIjbXAJsqgETL/cDE8wD0DMTuzaIurysD1+ZVnBgBorIGTQOiL/0A25pEeFyrhLksNoBQNIDu1jL8+s9txe9+/jg+9lM9AMYzDqnSD1ye4JONUEzFMz8cBjCM+w9uxY47ym1dqxsVb8deDYKCfQOyP9p03b6d5Y2mmW3/eoNXShWr1S/h/FYX3K/PYSy+jPZ3dcI3nUK0zgGvxwGh1oPU6UWkTuulKpAEaA82wrGtLCMgKZTSDgHbxEvq/x8+eADNsRrMesIA+E7kLNjSH3pU2crtm4CQIpqYGMHIfZzAjicFz42cV2Kzq7YLpy71w+33YFSY4Zr2kYyFGeFgSRlbMkUyIGSZjzz9hSypXvZceBkF+r7ysjksSTMl04oGrIx+8bbPHoeVg7gZzPox0sRixRWdJRrCsS+i5d42APp+eR4ruWQ0yPLFIhxqSjXMbNgx3OMtvxFQjJG5hho/+q8uo60xAFUDVE0nBJq2QgpUQNM0aJpOCvRl9NeapqXJQErVZYrVs9P6tJNTAFZJgugQ4BBFOERAFAWI4gphWCEQHrcDDlGAwyHC4dADMFEUIYkiJAmWmYnqcg/6rizh0sgyuprLEB0bREu9H3DfeFKelpmNHKR0TWGyjtclQeYYbtreXyFUrCxgRDTml+KYigWxs7epIPvx+1wYvjaNsG8BW7vq4QpdSc/LIDzUNQlGkmjsvpd7DaSe90LiTZdElEtAuU/EQs29GJuM4Im/fxHlfgG/eb8bbVQCYl+7iM89p5d3fe8nugLVN54fxp2778Dt/hPp5Up9IlRNRTi+2i+S3p8D+I13O6FpwCd//z/w3PNbC5rlXCvezpmIQmPNZCMXMvFWgFEwlixzQLq7Ao2vzELZFIRnSYWnqwzJb1+DY1spHHfVIDCZwtJMCAgmoXx3HMp3x1GzoxY/qpmDuK0MYsCZDg7tXD9e8EsH07zekUcfug+7arsw0T+J6HQEZ0R+4zXt6UE3NNPBMh2sE3NBNrglrx8/8EC6T4Psz44fhpFMrt2maHrZI0NDxmVUsSSuYg6uksyRPCNTPnKMRsSEwCxrxDsHOrNglDEwCvh519OytyWpAoFMMyYzgsP2bRjJ42bL1hqrUgF6wzj7PnrwrvR/In27VrCKZGuF0f1V1ZTljybrn0GTkEL7aGxkNNf50D+6hEg0iYpSd5oIiKIAURAgCoAgCBBFwOl0QBQBSRQhCHpNusj8FwTYJgiFhN8robejEv1XlzAwtgyXS8jNBXsDweUUIcsFyDbl25gNXf7WsIwqF7Ckw86xrKF8KhyVMXB1Gd2bAZ/HOAPNGlPyAlsyz+dzYzZah5099boPRekW076lYFhGMplCTbkHWKRm2Cl1W5lXWepBZakHfZN6z8VfPJS5eMAjIBpPISErqK7woLezAj9/fzs+8Vevoa5Ewft2O/Fr9+m/p+V+AfNhgLXQEAB8+DYnppdVfOnwEs6dG8Mtt7QaXbLrikITjbdzVgNYA9l4q5IJOzB1Vg44oXx/HE5V7+PAlQic9zcCAO7o6ICmaVi6soTJN67hyuERzJ6b0dc7Mg3nr7TB0aQHH3ZGXI2UeOigkhcInpkZwNaWVlx6YwR7O7YZjgifmRngekmQgJqV56WN6QixMeujsNMUb5Y9YcvHrLIdfcdHcKYjm8ScmupDueyGVKF/HIzME+l5ZBvssbKGiOTamIE+NyNXcDtlVFYEjHdttBQgULK3PFJipIbFHhNdAmVENOwa+wGZBCR68C70Hfsieva15eUcz4L+fBUju5HKsQ+BJhdrIRobuVTKCKIo4paeaoxNhbGzu6po+7kecLlEdLeU49zQPKbnY2i+Ze2+GusBt9OBxXgi/w0UwBzP5RIhCALisgIP2/eQS6lWLsuvEZGYgvODi9jcGNBN9ExAMhL0Z4tWWaOnNzWWoaE2kDa8s/o8XpuJoLbKq5NtmmzZuS/M/H1tDjx/PpU25iOo2f1etG/6EX54dByf+a3bMLcYx//3Jy8hFEkiFAFeG1DSZKPCL2BqSUVNKbAcAZZjGkIxDUkVKPUAf/eCLpk7Pr6wYchGoZCXCedbEHkN+2wEolHoY8i1fIn1QSCQtpRCqHHr5SkagGimTrggCHjnbbfis1/4FNz/cxve+Vf34V2few8639eNd2xrTy/HKhgBehBC/sh0XkDM+lTQePKZwzgyNIQvnjqCb755CjNX5rCjcjWTQkjEif7BDGlRnpkgIRdsY/Ou2i5K6jcTdFYD4Jf5mDlem913+pwfP/BAVjnRlz/xaJbh4JPPHEYqrmBreytESczyCqHP14g0sI3KViDbYjMtu2q7MprCWUJrVKpk99llr+U729qwq7YeB3v4o/P0MbD/6dc8IqLt/w1o+38D0YN3GZIJGmzWg+etAayeq5kQBQtej85aiAb53JllrczKqGjQn+e1QFheypto8Bq9ab+M6/FDWVPh0evFowbO1TcQXC4R1eVedDWXorRkjb4aRS4DMoLLKSJpVsJkBTrIX0Og73E5VhWp1ulaWCESU3D84ixOXZ7Hmf55bN59Cxp27bEcyeZ9rugmcTrj4fO4spy1jbY/uxhHOJJEY7V/dSJLush9of84zfOTcxE8fz47u3RtPoVv/GgYH7ynFd86cgUAcKpvHoqi4tjXfwrn/tKHrz26mrWt8gPBOHB6VMVCRIXfLaCnQcTtHSJ6myUk3TWorfDgzju7jS/YDYybhCPHzMaOmg54S+w3Nr/VwQ2yNA3aXAJiqx+p0wuACqhBGWKp/qNzZGgo7YnxyTsOpYPU7p/SvzgOVmeXUNGj7MLyElcejtd4zxulpo9Z9YhwepyYvzaPms01eOLoc3gcxgpRPI8Ndh88xSj2GJ585nBW1oNe1qhcyk75FQHPs4KHnn1tUOIKRmZngFKYGvrl2iBu1evBc1xnj413LXgStlaN87x1j/QNYrezEi+OjGQsY/TcmJV9AdbZCx7YBnHe+qSUikYu/RlmyxalX2NFkUiSrk9T8FqyGTySsV7w+5wIRRSU+DaI8d0aEIrIqDZRCrKFAmQH8oXbJZr3bFy343AgnlCAwMZ9JkYnQ6gIuFHil1DidaGk3qB52yaMVKl4y7EYmw7jyngY2zvL4aIzEXk8S5qm4bFPvwYA+Mof3w3gZHre8IyGP/yHE/jKr3rw/+tL4uzAPJySgGRKg3/ieYjMQIskibitQ++D4sHvlTCzGM/p+IqJQn4Pkvv5di+j2jidOG8RaMtJQNWwqOmEQ9xaitRrc+g7PpJu0CbSqiR4J0pLRj0FdJCvlZVnNZYajbCS/bF9AASPPnQfpnxLODc2iMiSPrpqNNJrFmizPSZscEcawtnt0tKsVlK1bO8G6RPhjVabjXjT50f2/8Htd2A4NpFxrqyUrR2iwQa2RmVUbAkamxmxygKQa2XUKM4Dv19Dw6npSUviRgiq0T7IfG9oJ7yhnVwVKTKPhlkPBw3e9uxkNYpBJOxIIacUFW0OfYTerAmcdpHPB2vJZqS3YWBGth6oKnNjfDayLq7RhT7/pKJlBns3GFySlJ+LOIs1ZiM8Lsdq38s6ES8jqKqKi8OLCEeSaK4rQf2OPSjp7F3TNtcSlEbjCsamIti9pTK7hCuPZvnDb0zgwvASdnRW4MCuuox5d23RRUX+y9/G8V/uEvHxP30FVWVuuCQRn3l1tSl+ofog7v6TCD7zSmM20Vi5n4fnduLFEzNZ+7+R+s7MsBG+WzcCbiw9viJjLRK4BOqVMOJ+AZoD0EIKxN4ypI7OoeeBjnTt+5PPHM7arxF4wQ3bWGoUCLNB6dUXAkBgdR45VzWh4ORzz+Jdd+tflKwjOGvsRwfgRn0L9HZoPHH0ubTvBwuadNhRH6ONCI2kcfuOj3CvLznOvd2d+N73X4bkkQwdqXuFKE6Afy+MJJzJ8fPK0EgJFXuuZFt2gnBClJ585rAtd3Fe78zhE5ewf3OL4bok+8RrVGcbxY2yEbRTuJk8rhV8R15Gy71tWffYjOTylrkeSCkqroo+vAPm/RcbRWWqWK7ZuaK+2odwNImTl+axpa3Msua9kLA691zLIBwikFpLrL7OJUOEKMmyujbStEaC4HE7EIom17SNYmF6Po6komJnT2Xe14j97LFN4zywz2G0oh2DbxxDNK6gscZnnBnMUT74yqQuyPH+e/QeitTmByCKgDD8HARBwP/9ZTd+8x8TePKwfn9+9c9fxTe++nH8wiN/hzfPe3FLTxX+6T+/CwC4OLwE3MnsZ2X/xy/MorW5Apf6p+GVYxCW1/d+r/f34FsVN+7QywaFei2GRLmI2ve3Q70agTYTh7aoj3KSUhQSxLGkA+Abv9EBMDsa2itETTMbQHaTLsmyEIh+CYLPgdB4MGN9O4Gc0fLsOZE/XuBPMhV08E3vjy3T4vlXsAZ2tCIXew7suVyaHIHkkTKuM73M032ZWQ/eebPHZKVIxWaDnjj6HL7699mjO0Yg69LnR3po6D8gm2iQ97c3boLDufoVYLQe26hOMmQkW8EjGoAuV0vDyPSPB952rWDUk3G9ZbJVVYF4HeQb1+K2u1F/UDtbytDVUobB0aD1wtcZuYxQulyOtWVo1tjrUAi4nA7IyhqzTPmY71HwmBn7rRVrJHShaBKVZe5087pR75MRciEURusKTVswODyDgN+JHV1V2NwYMF0vF4gruiGlJU78+d+fwp5f/Ba+/oNBfO1lGdfmU7h/lxP//ltelK2EI1s2l6O5qRzPfvO/4aO/cg9GxkO4e089fv9jt2B8JpL5PFPX/tjFOUxM6RK6dg0QbxTczGqs4oYlG8UKINbqcyF4HaisKsXApWtwfqgZqVfngISKvjeym5579rXhr++6x3IUnw5WjVRr6GXYMqGWe0Om6kUHOzpw8NatUBIpROdXt0kfB32MZiVFNFGwU9bE2xc7nZftIEpZVjX5vGzVrtquNNF74/xlQNOwt3lr1vmS83y4pzGnng1ynOT+sJkh9lyeOPqcnnWiYNQjwQOdvbFyo6fx+sgoXp+8xlWfYpvUedNIEzediYkevCuj7InOaACZJWIsoeARDF4JFStKQMDz3LDbRG4Xdp6BlKKiy7FxG515kpkbiXzUVHigahoisetfTsVDPgFDmd+FYHhjjsjbhcspIlEI+ds8SZPQtAUet4REosBkgyYZeRIORVGxFEwgYNFfZOfZMZK8NftMkj4AVVURDCXQXFeCks5e8/2ZnSuH3PrceuD/u58/jn/8wSDKS1z4i6dO4y++I+O+T8cwF1LRu8mB1772s/jv73Xh7OVp/OBHFxAoceMDh3bgqT++G//vD+7CZNyDq1MRvHBsImufl8UDuDoZxnIwjraW9VWiK4YYxkb6Xl1v3JBko9gjlWZqTlYQypzQlmU8+tB9GJydhdipSx9659WMUd3TH30Epz/6CITlpTRRoAMjEkzTdf8kq8ErvyDNyGyAT0b9WQ+ErOyGKCKwKYBXT/VDiVv/yBtlAci+zVydeQ3lpF+F16PBbocu7yLnTJ8rXVoF8HtKSACciMroqddfP3LnoQy5X4Kn+ya4Qebe7k5uMznBec2X3hbp02G3c2ZmICN4B1aJhpWHDflPl6WZkQu6P+bI0JDuseHM/ArgZR6MTP5oRbaWe/WUu+/Iy1meGWQZ+hxpaPt/I2MeISwsabECSyzorEYhvzOsCEcinsTU9BJOnbqCs2ev4sKFa7h8eQL9/ZMYGprGlSuzGB2dw/j4AqamljA9vYz5+RAWFsIIBqMIh+OIROKIRmXIsgJFUdJN5/mAJhdGqlMbDZVlHn00dB3A1s3nc33KAi6EIvKa7lvRYRFoO6UCNImvITujjV+G1y0ikVQLex0LoJQVjMpQNQ3lnMZ1K5Jgd1mWOGhl5VnNxsFQHG63BEkSVz/L7H21IlQG12Df9hr4PBJUVcPunipsbSuHtmIE3tNahgc/m8R7Pqvhg4//CJcnUnhXr4Q//PPvom9wJqMc7Jcfug2PfngrfueJN3B0QAE6DiHc8C4Mvvp9fP/lq9i8uQYA8Nh/vdv8OG8Q3Mxm8HHD5azWwzk8J/glaBF9JKZnXxvUXSmoJxaxaUspBgbHcWRoCKc/+kh6ca2sHDuWJzL6BayaxAnhIOVUvUIUoLwh2F4GunSLHUEn+3vi6HM42NEBodyF0LUgytrLswyxWAJhNNpP90MAq4E2AZ2pIEZ/9HpGJIM+BrL/p155NkOlipgHGtX1s9uXYwmMRCcwvxLYkPvAnhvbi0IvZ3Z8VjgyNJRhgJdLRgPIJlJmfUdseZSmaLi3uwMvXRtNL8Mz8LNb+tRybyhdXsUjB0aGmMCqCaC+3irJIMQlxqkOMCK0VtmutcBOhmurGMdYbRliLS1IpVJQUyo61QhUVUMqpSKVUqGpKs5F3WhTw9A0LT1PI/81bcUlW3fQJhBFYnCnG945YlEI4qp5XdoATxAgrNRBCGI5hFdfX5kvZCxHb5eAnk6/toJGIhHmPX386WkrLuD6fC0dxJBrkUxpmJiNQtM0dLWUXldzPjqgY5WB7MLnkeByOrAYlFG1VlWqYsEi0HY7HUgUokkcyFtZSxRFuJ0iYgkVfu/6j42OTYcRiiSxuTGApKIhGJZzljc2e6asnjV2/ux8BNVVfgCx1YnsdTbyGjG6Hyv3qqulDM998QHMLMTQ21kJTdPwF/9wGj86Oo4PvrMVc0txeNwOlPpdCEaSePbVMYRjIXz6L7+Fr/zve9Kba6grxW/+Yi++9cIV9E+mMHnkCkq8Ejpa7sbyyz+GmtAHZA/evX6ytzcN/IqPG45sbHRos3EIVa4MeVfx9mrL9XYEJ9Db04hPvvwT07KPdKBDeW9YNYuT4JIlGn3HR/DlTzwKYJUAiBVuQBAQnY2ipK4kgwDwJHkBPjkiGQJCNAgRMJOkpffDNqnzts+e48GODuzt7sTBGX2bRAWLBb29c+NDcPqcGQ3dvED1kTsPpc+FJltm6BWieLpvIr09OlAl16bv+Ei6aZ8tdeORL7NzsRNgEzKiqip21TVAdIpZTeQsKTBrQOe5jQMh9B3PXM7IGBBYbSYXjplnL4hRJIFZjxCZz2Y3ClFSZXXfNU3DhKcU7ZX6j6ieiXSn55PP62YA2202iauquvKnv9YJyeo8bWkJqgZoqorUxCC02nZo6urxqAH9xy81OQihrkMP8KeH08E/TRRSKZo0ZM/ngSUlNDdwOISMZci8VeIjgKwuiIAo6G7gTTU+TM1HcaZ/Ed2tZfB7JSiKPf+StaBQgUJVuQeTc9GNSzYs4HKJiMXX3wHd7dblb/3e9Q1XFv0tmNRmUCpO4cTFOeTDf3lGfjywhERVVcwOXkUg4IHPs0puwpEEWpsrAaskoEUzuNH02kovaiu90DQNX/rGJbQ3BfDwB7pwum8ewXASy2EZE7NROCUBf/Bfd+P80CIaqrMV9oSmLYD2fXztqIT4S2fx/rtb8J4Dm3BlVsXwZARutwSfd+PKG+eCfAco3uq4YcjGemQ08lGn0ibjmJUSAJwAgK8//Bg+8vQXAKwGZmwpFN3oyeuNMApuyDYI4TAaZTc6j0cfui8jC0CWOZGYwy2Jcrj8Luxv387tITEzuCPEgqhVsZkKOugjy9oBvR2SWaD7U3QPE/56bIkNea3EFezr3p6xvFF/Cp2tAVbJBLB6TWgicl5DxvVlXdh5vRKsUlcuzz19TXkgx/H4gQcgR2VMDk2htb4lvR/6OSDPai49IOQc6CZyMo3+b9SXQbIbhHy849ZdeHVlGeHYWUMVM7skwog0FxoXFTdEhx7pk88oK+qQK0RR5I7up+Uhy6gf+Mpb0i+zgpq6EgDTegFtw8Z3t66v9mF0Mowz/fNw1m+GPDmC9qZSNNTkLxlshUIFC001Ppyci2JqLop6TgB2vZCvoZjLKWI5VKDeo1yzGlRw7J5OIVr2Tly3in46MKeOe+LsGTR2bEGtHEVCTqGtMZCXaaPR/TDz1riymMTc2CIUJYWezlpUlPsQDMURi8kILF+B0LrN/B6T88izR0XTgK9+tz+tDPZXv3UrPrDp4so8J549o+D3v3gCt++sRXNdCZJKCk7JkbGNw999HNLMAH7j06+iodoPDD2LoTknvvhXP4v9e4xVEYuNjVhGuhHBCpLonm/2PWXWPy9pA+tZOpVz74ZTgJTQ0sFarxDNCqbpYMOOZwYdpPKci9ltEIUqWuGp7/iIYd07rUAEAKJLhL/Oj9B4EKcm+gCYl06RY6LJDQE7jQ326Gtjdp/NSqsIDnZ0cOV4jbZzaqoPbf56HLglsznc6nkjCmFGHgl7uzvRK0RXMxfUdPZaFQNGil80krICySXlpNZEnhEjVSl2Gu2/QUB8OHiN3yxeffNMxno8okNnf9iyKt4zky/RsHIMp5FSVDio0fe1Eg0j8HTor7fz9/VAa0MJbumpQpdvGVvbyzE2FS76Pgtx7SRJxLaOclyZCGFqbv1kjvNVLXM7petr7GcQCHs67sHcYhyjk2HEZQXzS3GMTYcRDBdRhIHp55BlFUuhBGrlSbhcInZ1VxkSjXycw7nLUfctGkuieWsrOtqqMXRlHq++MYKLfVNob61O92tkwSSboQ1nZ9vMjlsUBbz59Q/ic5+8DQDwqb95E0+/pF9/ofNBPPihD+Abn5Cwvb0C//Sfg/jg48/jykQoYxtOpwNaQw/6R5fRgsuYDaoIRZO4dU8rXM4bZtz7bQej749cv1duCLKx3siFcDhuq0bZtAo1kcKu2q50xoHeBi2lSoIPEjgQosCTwKX/EwjLS1kBDN3QTIgEW8JCAkA6QKQVjbyVPmxvakdjotJSiYoE37tqu/DInYcMFanIfxIYPnH0OUNVIaPgkGQXaHdugiNDQxnv2UZxevqZmQEcuTQAh1PCmeErpn0yRpkccgwP9zSmlyNE45Mv/yR93emsCitlzMrKGmEtqkp0jwzZxtmJAQyHJ7KWpQlqLjDr64gFzsIb2pluBCcghIP0ZUQP3pVlCkgazkkDOk9ZjPy3IpnXa9BCVVWIDn1Uby2mfVZgv+wLTi7WKFtaSPg8EsoDLkRiChJJFYpS/CC4EO7qJT4XejsrcGUitG4N7/kiFF1HRTUS7HccgqppGJ+NIhxN4sTFOYxMhBCLp3BxeBGDV5eLs28GoagMf0sn3G3bAPAD87UY8lmtl0qpcMXCqKspxa17WnFgfxvuuLUddUr2d3gaxMuC8xkW2jPduu1kvwRBwHvvasGZZ34G9WUCPv1dGR/7Jz+WQgkAQNvt78OvfXgrvvXX70ZrQwm+/cJo1ja+8y8/hCSJuOe978PFcRWbG0vgdDqylruJ9YdWVp7+jVmLzDrBhicbG74hnIGjyQehxoPUyYV0Xf5TrzyLv77rHnz94ccAIKMpGtADkq9ORdNqUyQYtSIc5zUftLLyNOEgf0SqFcgmSrRcKZF/JdKprEpUTUsNLlwbxK9/RvdLMBvZNXLLZpdhMxu8AJEQCnaEmrynG87pHgtSuvXE0efSwSfv+SHb+a877oHT4zScT++DHD+9P3LOpCyO/D3dN5HuIaEzN2RdUmpG7k3PvjY8+tB9pkE+Wc8u4SCKao8feICr0pRKpiC6sr/kedeLzXzRSlRANtFgy6YA/bkjvhs8tSoAeMetuzIICFmezsix14hHLo3Ay3jYhV3ZY0DvmxCZvmrybBQLRSEaGwzzS3FMzkSxvbO86H0bNIgKUL4o8bmwo6sKE7NRDF5dvv4KVRdfz2u1qbkY2jeV5rZSvgTVZJ1kUkVPaym2d1TgHYFT2Oc+ju7WMuzZUoOlsIzRSXuZrrWQAbdLRCKRTG+Hfh7sbNcq28gtq1oZgJRlBeFwHF5KZpc8/+n9Gl13nuIWZ1ouz7fb5cCP/pcX92xx4JVT07j9V76LI2+Op+eLogBoQGWZO0te+/Dr4/jgPa0QR57DpXEVnc1lb6ks7I0OQjAKQS5YbHiysVGQy2ivdHs1UscX8P8OfzcjUOsVountkBFPQi7Y0XPWlIwNcMn2AHPWyZO+BfSAkfY1oGViCURJxCl5Hs6ICjmeOcplt6SE4MzMQFaJE70vWsIWWCUUNNFgjfJ4zdw8qVNaDpdgV20X5JgMl9dl6mtC3huVt9HE7+m+iXTWyki6lu0xYa+DFewEyrQUsBFUOYUdDcb30Ej+mefQTkCeJSPVKbsmfYSMkB4OItXMu6YsMefdZ152LB/YJRyplFp0Uz9heSkdjBTlh9pOjf11znyMTITQ2lRyXZ3FAX65miG23c6d7PdK2NVVhUhcwfnBRciF8K8oMnIQIls7TGRoy0tdCEdTq8utwOUSsbWtAuMzkTV5ssRlBUsh2TRbVuJzQZgbQzgcN1yGB7NAmpCULKllajRZKyvH7HwYFU41ozGcbDsLNj+Pa+1JcvW8F3/76Z/BH318NwDg1z/9Gn7l919EKKITMqdTTCuZkWugqhqOXZjDPfsa9G3Ub0EwshpX3CQc6wcewcjpe88GNjTZ2GhZDbtBodhRArHegx/9j+ehHJuHmlJxy1efShOMgx0d6WCaNn6jy3YAvuwrnd0g2yMPBVuyQa7fk88czhiNpkfRadM11ntjb3cn7tvRAym1Fa+dPIVjl/vT22Sb19lAzCjAs9N7wfqFEC8Lsg/SHG70fLA9MjxfDwA62fA4s4gdfS4P9zQaemzQ527kO8IGwSSrYdZoTR8jb9lciR4P7YEmSJzMhhWODA1lmfuxIPK3PLAlUjReffMMfEde5vYWkZ4N9tpamfvx3ucLu9ddVVSI0vqVBqwpkKAJBBsAFsAMLV8oiopYPIWa66zslMu1FJq2mGYRXC4ROzor4HFLODs4vzaH8SJDllUk5BScvAySDXO4QqrxaCoQjia5PRp+r4TWhhKc6Z/HlYkQZhfjmF+KG5I5OqBVVRVDY0GcvDSPgavLuHxlyfAYpheiUFQNIpVRMMto2CEZRmCDvOVQHAG/O3s5ehsMUcvafpEGBn7hUCcO/+0hPHDHJrx5YRb7P/JtfOL/vIZXTk1jT09mS//0QhSJZApbUq9hvupevHJqGrTI3U0Fp42FQmc3bnblFAGCIMD14VakhkJQXpiGcnwezg9uSqtSEXwS2Qo5rJStUS9BOsDt7kTviiAAWZeUbJCgnFbxISTjyWcOw4udK6PGZzPIiK7qdCi9f9U9ha6qZmzylEFkSpNI0E2PMPPKl3gjzrRyFQ+sTwed3TAKINkMCDln3jGVxd1wU3J79DLpc+JkOQhYnw1WGpe8ZsvmrGRl2awMe365lPTwtr2rtgs/vvQayv0VkFZcYo2yLIRcEHhDO+HFKpGgiYHus6G/1kmFTiyEY1/MIB9EaeoUQzZookEyGvRrchy0apbVAMD1JhoAkFJVOCjlqGKWT9Fg1WxsjRTSxIJ+bbb8Goza8oUkifB6HJici6Gp1p81P1/FJSvksk07y4qiiO7WMoyMB3FpeBm7uiuuq4eIXZBDyspurMP9r6/2IRhJYmo+pjdlM/tvqvWjrMSJazNRhPtfRDIFRKv2o6zEhc6WUsiyiqtTYaiL11BeVovK+DWEIgrGZyPwuBzYs7UKkiji5KU5jE2H0VyXrdJ2NVmFLbd3c7MLWeZ7ORj1ZaxHBXeEcITDcQSDMXRuNpbPTz/7VI9GllD1GsqmrLCptgR/8zsH8LXvD+Av/uE0nn99HDu7KjEwFsTebTXp5RaDSZT5XdA04BP/5zVUlXvwF4/tT5/DeqBY2ZQbSf62GCVTPNwkGzkiFzlcR0cAYnsJlOenkDo6B8eHWtLbAFZHrTPKfGyYhvHM5AhYqU06OKeDab3U5Wy6lOrqC3qwyMq0npkZAEQRNa3VePXN83jwwQMZpU3ssRKSYrfchz4no3NlCQQtqUtvgyYnbMDPNt1vL2/DixfewOadq9KvJIvCStQaHR8vg8HLRl19IZBucCZ9MlbgkaNcyn9Yrwl6fVVRoaY0iJR7uFHQzpbg0cZ9dkGWtVKgYjMa9Hvy2kiKt5hGfoD5Zy4L1AhoMWCV3s7pB3QlQBGatmQHKCz5sBtk2iEtNkGTiK1tFbgwuABREIoqfcs7BhZrDVLamkpxfnAB/VeD2LK5fE3bKgYkSUR9lQ/D14Lo7axcnWF1T1fISCGDuKm5KOaW4uhpNZbZLPG5sGWzC0hJQMchKH0/wOgMcDKyD4CuaOYR5jATq8fE0CICfhc21fozJIm3d1biwuACYvEUNjcE4HLpn+G4rCCZVFBWuros24tAQGctaBdtu8En/dkWlpcwf3UeVZUlcLmMQ7X0/tnMI+deFYuUA8CvvK8L772zBUfPTuPr/zmAv/rqGWxrL8fOLj3DsRRMIOB34idLOzA9fwpf+d/3wO1y3DBB+U2sDRuabBQ7gMgXuRAOQRDg2FMJ+enh9DR63b7jIxmO4uc1e83W9LzeFTUkgPqyKs38MaZ9KdiRdkAPBA+293GDd2AGl4KjeN87bsXzPz6GHT0dEEUxq8+Efs8LcoHsRmc2gGZLyejXvMZ5XikTrVhFgy6XSkTl9Kg+fTxWQeWZmYEMQkIrXh3s6Ej7apDzf/KZwyumfW1Zz4yZ+hSLXPsMWDlYGrIso6e2Fd8cOZ8xnVatYtfLdjYPpT01rBzGeSTj1TfPgH5C9ayG+TnRoK9lrl44xUYqpUIUMqVvC5HdYEmGkVpSTgHFSoCivfREbhkNdll6foFGvtnz8HslbOsox9mBRZSWuDJM3opZ712sUcotm8txun8e4zMRbrZmvdHWVILjF+awFJJRHrDpJ8G79wa+FSxUVUUwoiCVUlFR6sJSWMaVcb35e1t7hb1jWNm+1PNedABoWilV86wE61VYAnbWcVf1eyXc0lONK5MhHD07BZ/XiepyN2YX4mio9ECSVr//WEJBQD8r9PPLvjYDEX0BgHA4geqqkoxp7P7YcwdgWDJVlOzfSi2UIAioKnfjfXe3oKHai2d+NIxf+7NX8cLfvRdulwNLYRklPgmDY8vY1VN1k2hsAFyvrAawwXs23irQVBWQjLvt2N4LuyAlTPT65OGh1ZGsFHuiB+8yVAja292JWOAsjgwN4fsjb0J0iGh06yNMtPwsTRLIayKDy2uwtuNlQbZHHwvAb/rlEQS694Pt8ZBjCTg8mXX1Z2YGMkvUONunMzc0YWIJKL0vuoyNlKvZIRp2Gr3Z42f9Jug/cswpWYXkcuDxAw9kEAiSaWMzRqxSFmkeJ9Pp82HPy+i5AlZJCJ3BsHIrZ3tYCNEptlFfLlBTakZmo1hlVEbymzlnNoyac8l0ErhY1X2z89llc6wZ551Hic+FhmrvdZORNQqGChEkSZKI7pYyjE2Fi69QlUe9viiKqKvWXdzXtC2bJPRM/yIGx5ZxdSqCV0/PoP/KMhprfNiztdo+2WHgcUlpomEHLpde5tbdWoalUAKplIbO1lK0NZVaS8NyyqlyyYqR328SByiKimA4jtIyjy0xiIxekOtY6vajo+PY+jP/jheOrcrwtjYE8L67W6BqGi4MLQLQyVw8oSKpaJAcwlueaNxseM/ETbJxHaAeX4DY6E2/f/zAA+k+BTq40srKsSM4YSiTyQb1LIw0kelt0TX4ZN8kIOSNEJ/oH8w4xuqWKhw9dh499Y0ZgTmv9Ij3ns1oWHmKmBkI5jPaTyDHFUgc2Vuzci6jbRHQTdPsfF6ZEpsRsCIXa/WKIIQjmUjC4ZQK0mgOZJ4bOSfij0Fe80BL3eYCq54XI6zl2uVyrVQ1BUeB1aiMBiKMFG3yRqEaSVcyHdxGVRswO5faSh/mluIIr/hAFOzcLfa7lmWNUFrigsvpwPzyOnpamKCqzIUgcRFniaTdZ4UmqwZQFBXhaBI7O6uwe0sVdm+pxL5tNQV1Xs/lfjXU+OH3OrGp3o/KUk+2YpRJ8zevOZwQD9OmcuZ3+9rEIkrj0+k+EbJNsyDWypm8GHjHLXqm6NG/eBW/88QbSMgKvvaDAfz2X7+BqjJ3uhytfts2zC7GMLsYR2VpdsP79cbbnQxcz6wGcJNsFBWqnIL8vWtIjUQgPbBa6nRmZgAP9zRmBGnEYwNYDSxyCXDsmIfR5VN9x0dw9QW9boU4OpMyIB6IX4PL40JlUwWe//GbGepUBCzp4GUmWFj1bhj1TfCatdlpRkjGZUgeKWv/PNDnSAgQXQ5G9kkCX7Y3BihsqQ+bwSAwKk1jz0FZcQ83uj6s6pMVnnzmcAbRMuvRICTEd+TlDIdw0tNiVZJFwFPDYjM56wVVRZpsXK/mcLuwHXjkEkQScEqrtJeeyJ5vI0g1CwT8XgltjQGcHVjE6GQYydGL6xY4FMLcra7Ki2k2e7Ae4NyXEp8r00QxHyJqo7xHkkSU+JxpI8ESn6soXiq53Be/V0IowlcM43ltsK/tZhlJ0EfLWcuygompZWzesztrvzxCw56X5THk8/k2QInPiVP/8tPYu7Ua33vpKnY99C0cPTON6nIPfvD5B9Dboff8tLXovRs/fO0atuzZamvbbzdsZAK0VincDU02NmK/BmA/cFR+NAltOQnXR9sw0HctHSCRJmFSkkOXPJmxTbPsAQFNOmhJXNoIjwYdEJKsByknApB2P6fLpcpqSrGjYzMWJxczMhRs6VMuZInnbWG0DOk9oUkIuzwb5NHP0kfvuB+Xp65A8kiWUrw0oaD/SIkY2T+gB8CPPnRfVh+HEejyJDvBsR2/CCsXbQC4ODUMp3v13PNxDKdhlF3gZTTI80Y/d7lkJ+jlrdZjSYeda2zXY8UMakqFUECFIV6vBq9B1Y45lul8XtmTUcBB92jQI9d02RW7XZu1+4B1UNhQ48Ouu29D0NuA/gK6SBv1wVhJmbKvcwkaasq9iCVSuHxlCW+em8Gb52Zwpn8eQ2PBdPYmL9jNPvDK31beR+MKRHFVnaog4BxTNK4gllDgcRe3jTSX+yInVbidxifO9chgtk8H/Ybb4QRxE1PLKC/3oaTEWuo5Y9tEjcpGFiQfqKqG0ckQnn/9Gv72m5fwb88P49zAPAQB+PqfvxN//Kt7AADnBhchOQSMjIfS67pdEj7zpx+CqmnYvXNTQY8rV2zEoH4jHhOLtRCOmw3iRYQ6FoXzUCMGLl1L1+0TokGaRklzON1ESgjHjuAEensaMwiEWQMzr/dDWF5Cb1l2oEWyGjQuCw/CF3oZTz5zOE2EgFXVqb3dnTop6mnEyZiE2OkE2uobUVK6qnxFlz6lPUSofRiVP7HnRbIHdOaAl70g+6XX402nn6OjZy+iu6YVLY2bMo6bBtuEzptPP59Hhoaygl9adYw0U9OgyYjdsjAzKWSz4wVW/VZ2a+WQXBIQN96PGVHiyeSy0rasX4Zw7GyWghUhI32BkXTfh1Fmg712Pfva0ipfVmSJFgYwun5m73OBqqrQVBUOSSxKUziQxyimEYxkTHnN33bW48GsqdwEds7Dv3wFjYhj3MSMrdAwa/LNt1zF5RKxo6sCQ2MhdKSOweME4rXvwlJIxvnBRTTXl+TeQG6UdcpFKWzoWUw470B9lS9bnpdHKnM9lhXIsorzAwtorvdnNP2n1y1Q/0GuwZymakjm+GwZkYtcmsO1xQVMzQTRu6XB/rGSc6Pkb9cs4sBZ/wP/V8TgWJC7uNspIpFU8WeP7UNVmRs/OT6JD//OYfzVb92Kg7c2AQDecXsHXj/8KQjX1TEyExspqN9Ix1JsbOjMBrCxGj9zgRpXIAQVvPk/fg1f/sSjeOTOQ/jru+5Jz2czDUaBibC8lDXPShqXtpwnxIVulgZWm3LNGnjNjmuPV8FsKgJpYBiqqmZkNUiwRhy12YyE0bmwAfMjdx7iuobTx8UjAaRpns580NkJOZqEc6Vfw4posEpa7HSj59NKeYoE1Wstr2KzSEZEg0ZKTmUZ+vECdqtjI83a5FzsPlO87IYR6OZztjckFjibZUQJ2CvXKxZSip7VKIR3QqEdXLNgVNZkx7zPqA7/Opv9CSKQ2gBm3DwCmEs/jcclYXtHBaoCIvzb34uqcg86mktRX+3LyR1baNpifQ/MAk1mXiSu8JuzSeCaS9DKEp4VjE2HURpwcf0tciI1FsiVDLZtKsXA1WVEyjZnTM8nQLRbWicsL2F2Pgyvx5mR1ch5n1YDBrli5X5/8X/dgf/5X3bhj39tDz77+G340Ls2o60pAI/bgURS/yD+/heOYykk449+dQ/+7LF9+P0vnkA8sfoMryfRuN6w019DE9S3ctP8hicbwA1KOGRda9/rdeFhSpr22Oc/Z7kqyVBoZeU4V9poqx+DBzZYoQkHHfwKx76YESDS88i+aWdtMu2/3bkF19wBTIxMc4Pch3sas7IdBHSplh0QckGyK/Q50e9Z6V6SIaEJjxyT4fKuNkjTPRDEaJAGLanLgixPFJpYGGUIaJO6tcDI3Zz8J38k86KqKjQNuLBkb9/steCdD/28xAJn03806KwG/axFD96VlfEwK4+irzNNQvLJRuRTImUFTVWzjdCuE9Y8SmbmGM5b1s72igxRENPSm4BFuUoRf8h5156UXtkd1QaQdc0WgzIqcmimtXwGcrgnatv9iMQU+H0S/1nIJYA1IQ2LoQTqq0x+4wqc2bD7HNRUeLC5MYDzlycRja+WsxXTqwLQ5W59PgvHcLNjseOFkitWttnaEMBHP9CNn7+/A++7uwV//th+PPuFB3D6X38Gl7/1Ybz3rmbUV3nxhX+9gEf++CVcm44gpWpQUvpnVNM0RGPrJ4awUTIJRs/iRjk+I6ylqXxDl1HRuOFKqlwCUqqKkZFZRDa3ZgTEX/7Eo/i1zz+JI0ND+PrDj+FE/2AGIaGXZR3FeSAB58MrJVdk+V7KA4lsZ293Jx7HA3qQDBJItgEIgTzmV18IoPej0QyiQQJt1jPgga4ynD49ilBVICPwP4FVUvIwVQpGB+68kif6fOnSLbJfMo9kTMg0usSKzrIQXwx633JMRqAqYJgBoB3NaTJBP4PEa4PMo/+Tkil2WgYsPCWMTAJ5YMvLeL0sjx/Q73kyKiM4FsTu+p6M/QCZZV92kHFOFudDyAdLOmKBs2i5d9XDg71OPKK2q7YLPfv0Y+zZ15b1LPGeKzNxgUIildJLqNaKomc1aLDBicVItOE0s22uAWZ9EKIAqJrGNVJj18nlh9zIiM1IztRuAGtH0YggLiuIxpOoyEX2NZfGX/o+M+upbffj8pVllHhNpGNzucfsPoeeRaTx3bgyEYJDFFHqv36hiN3nQGjagnpcRvjqDEaueLC1uy6dsczFKyNXVFT4calvEl3tNenjZX06bPcG8fqkbJbQ5fMZ/m+/sB2P/NFLcEkiwtEkvvPiKN53VzPu/fgPoCjfQyKpQlU1/PfH3oX/+it35Lz9Gx1m3kjXG2k5ZQMCQVspkGXpabnihshsENxIGQ7RI8Gxqxyf/cz3AawG3r1CNE0s+o6PZAVBZDlCGoTlpbQcLpAdPNGBtRUpoX03HrnzUDqovvpCAFdfCKRHnIkyENknUSfiBWjeRBRtbbWQBkagKEr62I0ato1Gk9nrwPqDsGAzGuw8Qjp4z4wcT+K2nVu4299V24WHexrT9+iROw+liQZ5/8idh/DUK8/izMyAreZq2nHbqLnZbvOy2TXhZZBo88FdtV3YUtYK0enIibibkY9cm7tJ1kM49kXufNaThHYIp/8f7OhIS0gb9fHYUUIrNFIpFaLosF7QBAV1CF8r1qo+lCfsjPgJTVvgcIhQU1ne5wWB0TGYNYuz2QzedDuN/ACwuCyjPODOX5XJyEOF559CsBJkjs9GkZBVbNlcYbz9XDMbFNFQVRWXRhbhcTmwvb2iIGWHZsg1mKOD+82NASTGhzE2vmRr3bVKiiaTCkr8q5kNNnuRk2GnmY8OuyyNPD/DrQ0BPPelB/Dz93dgdDKMHZ2V+P7LV/FXv3kr/vML9+PoVz+Ab372XfjSP7yEuflwXvvIFxs1a0ATx/UkHex7lmjQ0/LBDUU2gPUnHLnU2DvuqsUbx4cRO34OAF+elkjN0hkJYJUY0DecJRwERqO3ZD1e8EIvy5a98JrHd9V2GQb39R4NJUISvpHRrH1kOJ0z5U88PN03YUrA2G2RaTzywRvtV2QFWkrFv5x6Ias8ivR1PN03kSZMbL8HOSfSr8B7HujyniNDQ/CGdqavL22G9+VPPJpBZABzLw0jo0OrPg2acJybGMT2+rb0ex54JWHkXNeqXMWCkDD6OhKjQBb0faBV0OyA11NUDKiKik5JLprkba5GYQVFgR3CeWDrls3UfLTxyxBWMhtGCl351kPb8StgyUeh78H8chxVZXn6EeTTS0Ew9CxmF+JoqffrHgk8UmG3X4PaJo2llY9Hh/wqXGM/5C5TSOTcHE4tL0m60d/E+XOYu3Da2tzP4DfXLuYXowgE+P0ahlkNo3tkFwX8TDtHf4SHP9CNj94pwOeR8C+fPoh79zeiodqPsoAL2zsqccfOGnz+735SsH1aoVCfzbV4GpkNUKwXzAgF/RzT/b/5QtDoglcDBINBlJWV4UvH/wbeEq/V4tcN61VWlQvhSB6dRe+iB3/wzP8CsBokP903gSeOPoe+4yP48icezSgJIugVohk3my1FsgqaeAEPKTliexPI6Hv04F0Qjn0RsS/8abp06ZMv/wRP7NyVXpY8dOc1H3YEddfQhLcEp09dgdyxGeVVpVnlTeS4jbIadhSlrM6LV25FB9oA0OVpwsLEEjZtacxY30zRibwmxJA2RSQlU2wJktF7AjveHmz/CYFVA7jR9gAgNB6EIIko4TVjUqCPm/caMPbEoMmVFciytBLVlz/xKFc5ir4G9DNAl/bl299UKDQsTGN8fBE7d7bktf5agpSi/WixMrdm5VV5Bi1mo3s8OVEyLS4rOHlpHnfsqjPdLr0tuyUohuZrFi7OdrZtBUVR8cb5GezfVps2RSsKmHIZWVYxNh3G/FIc+7ZXZ2YccpAuJhifiWB6PoYtbeXweVZLpUYnw0jIKXS3luWmkJUDcilZs4OFYByXR5ax/R37UV5W2O+ZcDiO4dF5xOJJOEQRO7c3wkWVrxmWBxbp2uUN+nhMSrHGpsJ496PP4qtf/AgO7M8tO54Pcr3/dslEIb9zN1JzOCkDtCIYwWAU5WUPYXl5GaWlpabL3nCZjY2AXEZ3HfsqcaFvAs5+PUgjGQziXwHo2Y2nXnk2qx/ivOYzzWzYDTrpAKZXiGaQNDpgJJKlRqUxZPSOZcHa+GW4Y2F0dNbhyIvHkZRXlSfoY324p9HQGd3oPe1BQt4TkGvJCzDZ/ZDyp0RUxi1bsu8fr/yIHgVnzQ55RIMGj5DaNZwjI/fkPhVUmlVR4TDRjifg9W+w50SyEt7QzoxeDJposM3f7HsCci29oZ1ZRMNqUIHtcVpPKIoKUcyvQ/y69mlYwSiwZF8XMMixWypCzxOR2SBOw6q3gh6hzFU9ys6xrQXLYRk+j7O4RAPI6tcYvLaMWELBlrbyVaLB8+qwkYWYmoti+FoIiqJigPFCCUVkBHzO1WMoItEg79eq9lNZ6kFXSxkuvXYMl159HfG4PZUwo1HhhaUo5hfCGB6dw5nRIEoDHtRUl+CWHZu4RMMQOVy7oise0feSd1wrz9KF4SUAwEd/4+uGn9+bWF8U2mH8hiYb6+0UbAei0wG1y49v/vsbWYEzD7xSISujP16tPg12fdpDwxvaiasvBAxdn89rPuyq7TIMBM5rPmDb7dDGL6Nq+gJ+fmcrrg1OGh6LEdjrwpa7GBEKmoSwy5C+DzpL0VlbD6/fk7UtI5zoH8RTrzybJmU0OeP5ZhDQBIT20rACK2VLI5dAmt4X/VpNpuBwSZafGzsZjFgg2zuDBsla0KSEbRRnMyAt94bSPUJsk/xTrzybpYi2kdArRKGqatHrz3koeFaj45A9GdWVZdcaMObbyC1JgFbZDK2hO+99FzL4KtS2ghEZpX5nQbZlCub+iqIAr1tCaQnTlM7eXxv3en45gboqL/ZsrYaqAqcuz2NqLoqpuSiCkSRqKux/DxcSPGJpdd/I/JoKD/ZsqYEoCDh59ipePz6CE6evmq/LKauSZQUXLk3i6vgSYpIXe/ZsxuaWKrS3Vmf06Ghl5VkZmozsXx6fufXuXYjKKoSpk+n3//G9M0Xd33qfr11slOMsNMkguGHUqMyw0ZWqHDsr8K/ffhPv/R8/D4dj9YuEVtU5MjSEXbWDGcpNLIhBH91PQCOLcFAKT3RKrFeI4pE7D+HI0BfSwSBNMvqOjwAfzQzgeRJ7ZL6wvARt5UervfV+LMfrMD0tAbWr56EHz+YkizdCTabbUeViz5M+RhK8N0aXkagvx8Obsq8zXXJFCBl5rujGbl7wzSMaJEjOt9eBKF7xQN9/9tmnTexYpOQURJdo+nkx8gihjQnpsjtAV5ZisxtmpVTsPJq49R0fSRv2sTDK9mwUKIqaV0OvWVbDSrGkWD9S2vjlopdnrDU4J8ROVQHJpJHWrM9lLc3DRttcKyIxBdXlRQ7GOUTS6RARl1OZyxiRDJMSnrisYCmUwP5ttZAkEbu6KzA9H8fMuR9Da7oDW9rK8m98LxLslsC527ahpw1Y7j+D07M+LAfjSIxcTGehskr3OMpU0ZgMzV+CnXd0pZ9hzaMTPNaU1+j4WIUqOw731zugVVUVwYiCUFRGMJxEZFCBogHuln3wul9HLJHC7/7Z9/BT792ZERsVAtfjXAtVNkmwXk3i6f0XiWgAN3hm40aB2OyDLKhYeGnVS5sEiqzMKpA5gs026FgF3LwGY1KORX9xnegfxOMHHkgHebT3gTe0M2M/e7s78dUpY6KgjV+GNuyBNuyBNPpDdNd7ceX8MDoT+v52BCfSvR0EdEaC7mMxy/zwrgspL6OvEzuSRLa5TQsjFpexT1ngbv/MzACeOPpcllQusNo0zWtepqVtScM3nTmgiYZZkG8WQLN9KKTvhrc90o/DkgZV0T02JCMpSxj3IxFycfWFAJdo0ODJ3PIyIEaO6zSh4R2fkaiCUUmdVeYvHxg9p6qq5fyjaad8KleiwWuyfitCaNoCUdSDGvKe/L+RTbK8bglL4QL4EWy73d5yK8Rhaj6a2ZRug2wqiorBq8s4eWkOF4cXEZcVpFKAQxTSAbgoimio8WFni4RdjjdROftCzqeSCwodaJIgkDxPiqJiOFGFTY3laN5UgdFUFXc9RVFx4ehFjI0vQpYVjI0v4o3Lc+ibjKKrq46bBaUDvnQZ9QqZoEUJyHQ7x14MAQMeonEF0wtRDF5dxqnL8zh6dgaDY8uIxVOoLHVj+yYRd3RJ2N1TDUEU8dBP7wEA/Nt3ThX92Oxivb8z1ivDUUyiAbyFyMZGLqcSBAFiqx/Pn14NuOlAkVcfz5ZQ8YIoOjjlBZ5sgEU/TMSDgoAeaaazHHRQlRHALC+tZiNWfqiE9ji0YQ/KzvwtamsCGDg5oCtqkS/GFRJAtscSkL3dnVyiwIJkL2jCQW+fXo5+H43KcEqOjHpYeh9Hhobw+IEHMnpjaKUqWnaVVyZFlqNBr2en7M/ID4J3/3N95lOyAjHH0cS+4yNZDuFmBn1kPpsto9ent00cwsk1pK8lj6CQa09fJyOSQVAIBSq6BJLNwNHv1VQKubRsrIVo2MVGSc/zYGSGR/4bKfHQyzocIlTKRZxXr8/bX6FVZQqJ5roShCJJjE2vUR704uvG81i38JgCx9Qx1FZ6sqZPL0QxuxjH9EIUcaonT2m9H2df/AESSRWbm0rgdjpw+vI8Lo0soqaCEZPJo8E8X6zlM2PW66ONX0Zq7CIu90/B7ZbQ0VaD9pZqLCxFcQ11UJTVB1GWFVzs00uKl5djeOPEKBaXotiytRG33taJ+vryzH1wyq14TbpGnwPeMXNJd4FUvxRFxUIwjtHJMM4PLuD1s9M43TeP2YU4JElES70f+7fVYt+2GnS3lqEh+BP4PfrvT9nMj/GHH78FP3hO/034o7/8T8hJez0wxcRG/T54K+AtUUZFcD3LqVhlHiuIm/04/B+v4Q9//R4MusvTx0qaYcm2aD8OYDUY2QH9S8dIdYd37qTUhgRa9Og/kXR98pnD8EIP6ujA8SPaf+LrDz+WPpaHexrx1b4J7N16UD8GKqOgQSca6DgEAfoXWas4g9NKCa5dHMGmbbcDBlrONMx6VHI1k0kbIVFkrTq8BN+KfvnTfRMZRoo7ghM4/dFHMo7lvObDwz2NeBrZ6lCEOJDpjz6kTzdTkSIwM+xjJXxz6U0wIh/kOFNJFaLTngcEL6vA6+vhZTfo+bkoU9FouTeEqy8EMkrQaMNEAiulMx7slOTRy9nplSHLpFIqnC57tfbFaAgvdFq/GLBSiKKzE3Z6OQRBN1C1Ak1icpLBzcGgzW5pixVcLhHb2itwcXgRsqyio9lc6SVvUMpiDgegNtwKQFeRCviciMYVLIVlzC7E4fdKcDlFDI2FUOp3YlNMxdwb/wlP+53Ypr0OlB5CZakHdVUeROIKaozKwDaKcpIJzIL5oUQVUmoS2zrrAQAej4Qd25owNDKLq2E3KhJTqCzzYXxqCX6vG117u+AIBVf7uTQZGnxZg2bpfXNkSDM+By89ob8wuY6mZCSP66+qKsJRBaFoEqFoEuFoEgk5Ba9bQonPiepyD9qaSuH3moSUTAneT71zMyRRxH9/4g0AwNf+9U187JfXbvR3Pb/7irGv9cqsrMWwzw7eUmQD2Lj9G45tZRDORvCd75zA9p97V8Y8WumIBE0kyOHpIAN6cPN0X2ZmgD53msgQkC82o54PYHX0ue840i7i5FgyRtlLfYCmk6D09p9/AUK7/lr48U/Q/Y534Ny4gorWBviZL9V0Wno5k0SxX77pL1uOFJuZ5wCZTvd8DE/Nwj87AjTfyu0hybrGKw7sdBBrFtDzwHM2NyMjJ/oH0Uv17dgNjK2OZ1dtFxbVJZwPZd9zI68QQjjoDANRLGOzFiwI+dCXX51OEw+aNPCOIRY4i77jxpK75Bx5Bpe5gEfueOpndqCkNHhtZI+KSTQ2OnjBuFZWDlx8Pa9zEObHoI4Hoflc6e1yl8vz+rDfW2YwkunNh3j4vRJ2dFXg0vAyzvTPo2NTACW+HNzEWZi5QnccwuR4EKIAhKMKhq+F4HE7IAhALJ5CY40vTXgURcX0QgyXo/uglgC3NAYAz+p2S3wu/nFeJ5JRqM8B7/dl8Ooygh4fdm5vzCiB8vtc2Lm9CbKsYCIKzE3MoKLch7ad+neRVlYO0cqsk/rt42Uz8gls8w2GIzEFoYiMcDSJUFR3snc5HfB7JQT8TtRX+VDql3ITw1h5/s4PLeB//I2An971HdR178b2jgpcGFrEZz7/Y7z7nVvQ2lyZ1zEDawv+b5Tvz2LhZhnVWwSCICBcJeIrL53MmmdV059u0qa+rFiiQcCOvtOBVzpLslK+dGZmAD372tBybwg9+9oyAkHayZndN9lGmgyt/IgI774X2vDqaFbJ5I/R3FSBvsuTUFU13XciLC+la4l5Dzg9jS6RoolHellm5JPNaNAZormFCGKJFJb7zmKbFuYG8bx9EPDKcexKtNoNhFknePo16T1gyY/dcipFVuDgZDZ4zeu8zIYRwSDEgv5PniU7xMQM3tDODKJh1s9BYNWfYUTeaGJK3udK9FRVs5S+LbbE7UbOatDICObyJBoAdGM/68RGQWBWYlMokkMv73FJ2NVdgfKAG+cHF3Hy0hyWQgXo5eDA55Ugyyqm56PwehzYv70Ge7ZUobO5FE11q58DSRLRVOvHni012LO1SvfPKKIhXy4olrKYqqq4GCpDuKQpywODQCsrh7OmGq2t1ejd1oj21uqs+bQMLv3fKJtPl1aly6FyUH6zcz1ImdzQWBBn+ufx2plpnBuYx9wSVQ7lPYH922uwrb0CzXUlKA+4clfd6zgETdPg9zgxdC2EEzNV+JdnB3FhaDG9yHs+9EXE48nctruC9freK1Rv2Hr3mBX7d+ktl9m4XsilhIpAqPPgyqtj+NL3v4Vff99PA+AHqHR2A0BGhoOAqFYZBVa8ADQjO6BlL0NGkEkgJywvpcu3tLJy9GJ1lF0bvwwBW3CutBG9225PB/gC07+xqWMaC2PzuFpVgs2ba7LIA1umwjZ608cOrAaKO4ITevmWVdnIShCjlZUjGk3AtWkb+gfPQl46BVdlBS763PD5XChJJeAvccFbhvRxkfvAjpwT0GVqpCyNnseClbUlsrq0FDEBm9GwCqAJseSZKNLu6TsauxCo0g397GYAV4lD5nSjxnAgs3yKrGeU1TBCz742XH1BJxaPPnRfuqTqYEcHnnzmMJ44+hwexwMZ6+RTVmWEfDw71kP6di3lOusNoxIq8h6w/ow7RBGpuk4gctWwfKQYo91syRf5zx6nUT09O49tAiYQRRGtDSVorvNhej6OyyOLqCzzoL0pYK3olAMJ8HskROJJRBMutG8KpPfdUMMn3Hrzt2ieMXkLIBKVcXmhBB43sIvJaBCwFQhGo8T0oBmvbMXO6LIddSmj5z4SUxCOyQhHFIRjSURiCkQBKPE54fdKaKzxI+CX4GHJVPl7LY+LxtxiHJoG1DD9P59+6gy+9n39d+f3P7YbTbV+LIdkvOfXn8Xde+vxvZ9cxUcf+zr+5e8+Ckz0XdfgO5/vCqPBBzvCHfR+N0JW5WZmIw9s1GZxx85yONpL8MKfv4jQUmbjn1l2gx1dZZWiWLDnz/Mm4AWvdE08CYDpB5BkU+jG7h3BiQzzQQAZ2Q2haQu6DuzH5MAYgsHssiU682DErA2nGwQhxHiQnp6YnoPLJeEW1yT2uY/jtr1t6O6uR0WFD0pSweT0Ms6MLOPo8ydx6tQVjPaPY3FqCcGFMBQ5s3EtnzI99j6RPhha3tYquLXT6EzPZ1931NZzMxsAP7vBEgK29yJ68K6s/gxeUzeRwSXN4FZEg1b+ovdJH+OjD92Hgx0dGdeEV5KWCwphCJhKpQou6Wk08glYj6pvdLCqWfko54gioI73X/drYDeTYfbeTDWLnUYC/z1bapBUVJzun0c4apHloD1QLAjBtZkotrZXYFd3FSpLDfotjGBBaq7XvSk06Y7HFZz9yVFUJWewfUuDIdEgv19WAVtOfYcsEbFxbuQ66z0WMqamgxi8upyRsZhdiEMUgcYaP27pqcLtO+vQ21mJtqZS1FR4solGHvidv3kDd/1/38uaRojGb/9yLxqq9XikLODCG//4QXzmt27DL/7sXpw6ew3/97PftH3OhQL5HBqJVpj1j7FqZbzPfKHLOwuNYmc23pJkY6NCEARI9zdAKHXiY5/6TFZwRAdT7Gi6WTBuV21nR3Ai/QXGqlERkFp9Vu2HEA2SZWE/lGkis/KDpg179OzG+GX4PC60tVShv38KqYBe90uP7rDyvmZfyE+9kvmjxv0yGno2a3p46Dy84an0MUqSiNJSH+brm9DZ1YCd25twYGsN9uxsweuKgoGpSXTW1mNydAaeZQ1Xzl5FICZi9sosWrVadFXXc53ScwXr6E7AEkyj7ediFJiUk7itt8f2sbGlSjySwCuTYp3F7RAMApb0kPVIJpF2YTfKJOXau1FIg8CUosHh0AkdXQbBlkTkgnzX2wiwKg3g9Tjk+qMsAFBNTIiLVVpjBKNAJNf1jOByidjeUYGmGj/ODixiemHtJBkAEnJq1dXbDmifDQsiU8igMddnai1YWo4i0NqFzfv2Ze/H4LfKLKthZ7ms7TGSt2zgqygqlkIyxmci6HvtjbTk7MWhJcwvRuBs6sSmWj/2bM0mFj5PcYpb3nN7EwDg+MVZAMBySMaPXruGI//vQVz85s/iwTtbcH5oAaOTupfSvz0/jIf/4EXMjOnqXU/+2yW8cmoqfc5WKPTzRV9nXql2sfa9kVDo35y3bBnVRm0UFwQB4t5KKEem8Etf/Tz+6aOfSAfQbGkWMZdjy6jsNA1nj3CvZhDOlTZmlf2QJnU62GO/DPXSLqoPYuVD2UuVOO1o2gINmRrq2vhl1AOYlQMYvTKL9ip3ZuZh2+16ORWMy6nOaz489cqzWVkbugEzvT9w0selLfCffwoYcgDv/984p+kN7gTnSleUqUoB35IMX6kP84gDfmDv7q3oiXbgzfOXsaunE4lYAhNXppCIJeFyiOg/Mwy3141N3jL0TU7i9p2Z+zYaMSclZH991z04bxIs8UDKo3glWDwkZQWaBrg8rqyyL1ZI4MjQUJp0ekM70+Z6Bzs68OTxw/CGdmaUUPmOvIyWe0Pp5WmQJm8WdskHTXhowkGjECVTdlWnrKBqWrYD8A1KFAqFXH+M2dIiK4iiAK2unTtvI4waWmWfzEphzEoyGmp88HslXBxehCSKqGLVn9hsA0sImPInr1tCMCJnb8cI61A6ZVUyWMhyuWRNJ64uJdHc1mjevG1ROpXeZo5lKrzvjWhcQSSmIBJLIhqaRCTqRTKpwO0qgc/vQol2DdUVbpR4XHC5RAhNDfr1KrZBJIP339OK//3/TuEjv/ci3rm3AROzEdy9twGSQ8T/+eoZPPOjYZQHXEgmVfzmL/bic/94Dvfub8Arp6bT2/jYn7yMc//2M3BK5gqK6x3sG5WB8mKTjQ5e6Xqh8JYlGxsZjq4AUi9MQ/nRJH4Jn4cgZDaU0gE/K4HL9jnQRm9AprM0mU4CsXTTNKJYtRfM3i8pTxGWJ9JKUbpCEtL73IFVskAITK8QXZHl86SlcIHVD2N3lYJTI4uoqm5CmSavfkjJ8VMBY28Zdc4rhIZteCfzjF7TP0zhV76PMq+QPiZazesErEfBPT4X7r41u0QoHpURj8WRiCZw4uIgkokkvnvlZXRvaoTL44TH58Gkx4mdPhV+v94fclEoSR9D+nxzCHRphSu7SMRlDM9MYxe2Ash8Tox6dwhYuVm+lG1busfCDEYO7GS/BKQ/g/R+sOvwlKh4CmtGUtG8ZQoBNaVCEPiCBm830mH3R5anTpVLH4ooClBTWnpbN9KPO5B93gS8fg4WpSUudDSXYWQilE0SrMgAM9/lFBGO5tecez1g1hdTjH0N9k+hrLwM9fXZAwb5Ziks97uyXUVREY3KiEQTCF9dRmSFZAC6SpnfI6EiPonmzm0oKXFBmOwHEAX8JZnHtU6BeInPiUPvaIaqaojEkxiZCGM5nMS7fvUHuGt3A775mfvQvimAez/+A/zp353EH/3qHnzoXW049Nhz+Ln3bMXdexrwzR+P4Hc/fwx/9Vu3IQfrorxh9d1h9Dml59uZdqOg0FK4b2myQY/cbiQIogDnL25G8p+vIPXmPH7ntz6SIX9Lewukm8TLVteny6GsshxsQMorz2FLk3bVduFE/yB21PO3S+RZBaymG586ewZ/fdc96WW0YQ+EjswPqHvb7WhbjmLg5CD27NqUrn8VlpfSx5EOfLs7VwlH0xZoF1/Hw9tuT2dWcvkSFZq2ILbFh8ZbOoFyX8Z1IKP6NCljG62NrgFZ1uNz4cT8IOraatLzY7KCzY31iMcSSMQSmJ4OIh6TkZBT8LgleH0uDLoleH1ujHrK4fG54PK4svZhdAy5jubLMRk7OjZnHT8Br6xOJwZnM0qZaNJBCABLRAhBIGVU9DS7RGP1fyAju0Km8/qy6HOiZZqJwhTvc2KHaLByuGZQUiqkcBjwSFnNoDTsZDwKkRWx00xaDFgKN1ggF9LgqGuHqmkZ+11PsNfczjHlo3JFUOZ3ISGn8hYniMYVTMxEMLcUx44uvhP2esLq/Itxz6fiAhaTIvZXOLOCLrPRX6sGcBaqqiIWkxEOJxCdnkUslkQkKq9kK5zw+V3wb+pCudcF3/IV+DySYTZ/o+HW7dX4m38+j4pSN37pwU7cd1sjejsq4HGvhp1tjQFMz8cQjioQBAEfuKcVl0aW8N9+oReplIpf+r0Xcf8dzbhPEK7LZ9tMzIF9/XZGPkTkLU02CDZiSZVY6oS4oxzqmF6zT48mP37ggXTAy/pusK7ZrCs4+W/HGO7MzADXQ4KUb4FqBBeWl9BbhrRHh7A8kcHydzmY5u/2+Opr8gFdXkJ9XSnmFyMYmkugs6thddtCFLtqu9Kk63E8gF7KdE9o2gKsqGMBmV+uZk1dGHoWakM3EnJSHwGiPiRWgTytFHWifzDDjM/KrE9ySRiYm0rvp1fQ96koCuJxBSfDIhKxBBLBJM4cP4m26hr0j43D6XHC4ZTg8kqQXE68HDwHl8eJ23ozv+RyLRs62TeIrvqGjHNhfVlo8By97UAnHiEAOlEBsp3ASXaDLaViywgPdnTgCLJV36yOiUew8/XNyIVoAEAqlVlGlavoAW+ZXEnHRvhBzHUwwG5Gg6c2JYq65PBGxFrvhR2FHJdLhM/jxMxCHPXV9vuPFEXF8HgIc0tx1FZ4sLO7qmg1/GsBr6yumM/4wEwMCwsRbNu2CS5BNh0w4E3n/TYTUnEy4kA8KqMpuoR4TEYsLsMpOeDzu+FTNVRV+NG6qQI+H0datrrXMgO2kfALhzrxC4fMf6caqn3QNGBsShfMqa/24s3zep/H3m364N2n/uZNnPyXn+auv1HP/a0MOgYVgjHb6228b5a3EdQLS3DcVp2RySAlTEB2SdR5zZdRXsTCarSblnMFVskFzwCOgN6XsLykm/kZgLiJA6uZjbTcLjUS07G5BqfPj6GyKoDKytW0797uTuCo4eYNDbPSMJBgjAydh9NZBmcknD5OIulLSreMPCzYrA8BKzFL9z3Qgfuu2q6MUp5eKYor/lJU+le3tXnLJgDAVrkLr5+9BEVWkEzIiIdiCM2FkEwoGLs4Dqdbwo7ONsxNzWM2UAm3W8+GuDx8cyU6+6LICgYmJ9Da3cRVb8qHjNPO3oQssyVYhGiw2Q2zng0rMsHr3bAiX/k2gediqqiumD0IFeVAKJjX/m4kFKKchd0GrxTSCGRZh0NEKqXaWudGgh2iQea1LJ3GyEQoJ7JxcXgRkiRi39aaFRnbm7gaTGFpOYbd7eWmRMNo2pziQGRyFnGXF3Pnp+Ev8SKlpBCLy3A4RJT53GjwOuGv8MHbWIGSElf6dwkIGB4Xq3b0Vgmye1r1kg1CLEbGQ3Al59Pzf+GBDvzLc0OIxpPwc7dwE8WE3X4kO3jbfMMUWg431xFfHrTlJMRW/SP05DOH8fiBB3BkaEgvU1oJUHmEw8hwjsZ5zZdWsaFHZXnSqHu7O9Oj9eSPXodW3aBNz2g8TGUhaLBEAwA8HgltrVUYHJiCoqwoOl18HYCe1WFLyIx+dGmFDgD8GuWOQwhHFfjC2SaIdBDJZnnofgZW/cjI3I9Mp0kcuS5kX0beKL1CFE6XBF+pF6XVAVQ1VaGuvQ6btjYh2CijeVsTKpsqMbo8D0EEwosRTI7OYODsCP7j347gwrEBDJ7VJXsnR2exML2EeDgORVZwon8QiqxAcjm5pIo+Tx6sPjtsFoT+bJD+Dtp3w6hvg8jdmoFej2TBzLxQaOTbm2F3PUVRIYqAIxS0VFV7K6AQAY9VRsNM+SU9yi0KOZVR3Sj3xUp1CVi9HiUdvUjIqYyRf6t1ZUVFY43/hiEaRh4F9GurZ9JoviwrGBqZxdjYPLZu1U37zIiGqqoIh+OYmg5ieHQOFy5P4vipqxg+Oww5mYLL6cDFkIbych/aO+rg27cDt9/ehZ07W9DZ1YCGhgqUl/soomF9zG8VgkHj5x9oxw+/9AAevLMZZwfm8S8/6MNv/+rB9PyfOdgKALg4vAQgU42rWNfjrTJYUSjwlEPzwc3MxjpC3FIK+Z+vwPlTm9Czrw1PHH0Opz/6CIDV0g9StkSPUpMGbR5IIMkzAqSXYcEGn+ShOlfayFWJAqC7gK+QhHRq7e7HATyhzx961rCWtK6mFIuL0xgcnMGWLXr/x47gBEAF8rzeDNPRVFqKkZgL3v04ImNvwu/NfNTT6lMrIAE1r3+FBq3+xJZW0Y3bqz0D9vweCBmhsyXsMUiU/vkCEoAE7N3dg3ipgLaWJsQjMk5eHoCSUJCUFbTX1UNZViAISbhCKhbji0hEE3A4HVisWIbb61whIfp22YwMO80uSOaBZC94TeO5SuESDxg9UxLCk88cTrvcs0TDKMNnVBLFU6JiRRiMCAddlpdaXIDDIRa8IZzsoxD9G2Y1yesRzNAyk/R7FkYDDkLTFohX59OZDSvcqOpgVtdnaTmK0s1d6WXsoKrMjan5KMoDLuuF1wG59rrkEySqqorJ6SDGxhdRXurD3o4qeJTVEuDk7ByiMRmxWHL1fzyJREKB2y3B53HC63WiqsIP3/+fve8OkyOrrj8VujpMz/TkPJqo0Uga5c2ZZZdd7YIJJkeTg23MYuOA/QOMjW0w0WDAZsEs2BgwGRaxmc1RWmWNJkmjyXl6QofqCr8/uqvndfWr1GGC1Of75pvuqlevXoWuuufde8+tF1DUUI3TjB8d0QX4xsJY2rIFzUwI+5BeD8XufWjm/dvscAs8muuKEYlK+MsvP4cPvXE3trWUJte31Mel8s+eD+KyNThuqyTwSxG5el5eUmRjo+VuuF7eAPm5WcR+NATmPR3oOzuCj7Y/alvOFEjNpSBhZCDZSXw+0NmR8lImk9T1YVUqUkMX4mpUBAYOJQhIHGTbtpYKvDi4gOnpRVRVxfdHJr8nk8MDpQChTGUIjWSQpAPAcjiGhl17Uh4iZHgMqbalN7LJ8Cia50MD2U4fYuUUTre5fEcnAMDn9+GWmsuTfUQAHOjcDjEiIhKKYE9XE471nYMUieGJZ49DEmXIMQlgGHAuDtXuYvQvjqC7rh2LM0vgBR5SVMKLE2fTwrTMfkt6goDi9LyNTKD1oYVh6Ykgec5JdSorkQSj5XbCp1Lisv0l4Ngl48ZZIJMEc1v9Zko0clA1Wp/oapWcqYe2LcexEHWFNw33uQmJBgkjIsa5G6FMnQd2NqQsXwlLmHXXQ4zJwOQgiv0ulPk9EIR4gcDDp2cgSUrOC1Fmi3wbeoqi4PzwHKaml+B282huKAfv4jA5vYhwOIZwNIZo9BxkWYHH44LXK8DncaGqyo8ir0DNqSDVHkMKwLCs6SRFJriYiAaJu39xFmXFbrzzlZ0py7VJwtmFCG2zvKBAMvKDS4psbDQwDAP+ykrI/UtQ+paw7bLWxKxwQpUp4aHQvBskkrkQif/dAWsJ124mlCIvSyt+RoZQqYHSpFdDb3glq6bqf5iaAUJovNP04tXRHrgAdGztxn1n5/GHAR/coIc4WD2YF5dFhEUJbhePEkKRRRvbyuBTKLr6ciCaMHAS8sHaOdDOG3l+9DkYtFAizdgmc240OCUMNKOY9JpkAq0/hmVxYXYWVzTuQ0VoIa3Nsyd7EnkiErqL2iHFZERWRMgxCQtT81BkFZyLBcuxYF0sWJ7FvDyPVlctzi5eiC9zsdS8ES1kii6XuwraOSTXAat5H9sua8VdV9+e1s5IEtiOclcupHFlWQHDZi7SmG+J3I06Y6ePR7eTC0KuZ1kGij3HxoaGlaym2TkpWbqA/oiEhWAIpQEf1NEeSJKC04PzKC5ahtfNQ+VZTMyE0X9hEV43D7fAQVHi4VQbiWzYIZh283nSQm/rOhFcCOO5F89DVVV4PfFaDxfEeXgTpKK42I2qyiJ4fQJ8HnteH30y+OzsEloZuoGcUWHPNZD7zScePTyOT//HEbzzlZ14652p77Pgkojv/boP3/zb69LKALCJ52lwOd0zVMDmQoFsZAF9MmwmUKIy1KkImJtqcPaFc/jgG25JSntqErM0aMniwOqDjpzZpSlYae1I40ufq6C1Jx+epJfEbEY15WFIhDIl9z262k57eFZwEkori9HXN4HuRr+hpFrag3bgEJTW23Cyfx6RqAyPm4M49BTE6ivQJr2A2gN3AgBmzxyFWns5fB4B6sAhgHj5aFK7NENUv1x/jmh1Ssi2GtkwIip6A9jIE5It0fjOE4cghkTUCAEqATrc2w9e4MELPDz+tNVo3N4ARVEgRSRIkoTjY33YFtiSICRRrEwtQY4pUGQVLMfESQnPguFYXOGrxjNjI2AjChQW8QwxA5vGLFdD+51peR83t9+SwRnJDE7yPCRJAcetyjnbhZ1iYLREPSfeDbPCcRlB+31n4d2ghYbYUabSG5Isw0DJUPxzIyWU25F4NbpegsCipb4Y/YMz6CpexOKyGE+q9fLoIsJSgLgxvLAsQhQVVJd70xWoiPDYjQI7wgGKoiB87jTEmIJoTIr/v/AsxLItEGMyotEYYrE4saqu8qOuJoAirwCPR8gZ2VIUBSdPjkCWFTQ1pcsI21G02kj3ZCb4waF+eNwcXnZVI/w+F1RVxYPPjMLt5vDF/z4JnmMhyQoqyzzgWAY/un8Q+7sqsX97ZVpf/31vfMKtxJ/7UD+jHNAC8oMC2cgS2RIO5dgCmCoPuAYfMJ4q/6lV7DYDzTjXh4+QRoneu0GG/rxjW318hrcktZo3rbAgLY6cnHFSR3tSDZHTzxi+LG+vVHDk2BzGeRl1tYH0BzLFM4L2g5iaCUEefgqXveROsOfuA/NHH0Pw7HGcfEKB/9S98EgK+ocW0dZQkhyP5tXQV9/Wqw6ReSNxwpdqdL5jWz3uwWqS8sMDA2nhb7RQLH3/gLEXJBOiQSMrS7PLWJbSExFpRfBoYFkWgk+AAAFXlexJWTdVEg8bUhQFSkyBIitQRAWKpECJyUBURntbHVRJxfCZMTAqcP6+PjRtrwfDMwAX/wuVrIDhGDA8C45nwfBx0qL3lmi5HqR0r/48kddSLyHtBE4TymV5lWzYRS6qCtvajvj9ZPRSpRGLHFeQpnk/9SFWtBlrhmGgKpkV9duIRh3tuO2Ms27Pfiw8+QyOjMRn1JfDIvZtSzfgWJZFeYknvYMEyWCCC1DXiXAYkQixogOiKCEmSRBFGdELs4iO9EOMyRBLGxGLyRDHh+DiGQj1rRAWRiC4OLgFDv7oONzNXXALPLwGyn1ZjzvxPpyeXoIUk7F3X3Pafmj1OfQkwwi5MoTXwkPyw/sG0TsUxMe/+kJyWW2lF//yp1fgN49fwLd+1oPOlgBmg1FABdobi/Hxd+9L6+dbP+/BF753Aj4Pj3e8IrcCPxrI39dGfBZcTGBUVbWcElpcXEQgEMDXX/gyvH7vWowrb8hHzkY2ZCP20ATmx4OY7xJS6g/89zv+BMCq4USrhExLaiWhEQgN2gPRKGSElhBrlRwL6GZeKR4II6NEC2liggtYXIzg1OgSdguTKGrvTuuX1vfQs/ciGlPRed3LU/YzNL6M6ZOPAA1XoaRIQGdzIJk7Qjt+2vHpzzOZ36FVTNcM9WRtEKI+CkBPuCZBM/btkBCj9kbbzY/PQ4rJqNqSbnjkAla/KVIS9+xzA9i6txVQFEBSAUnFVY1NUGIyVFlNEhZVVqAoAMsxeHFiHJNHixDxD6BlVwOuam2Oh3TxLHbVtoPlWfA8n0JO7BALIwKi/83ZxcTEAuaGxrGzq86yrRXJyHUoVVYGBuGhzDXBIGFUO4CW00G2nZ5ZxvhkELtKl9LWbQZYEQonNUgURcGFI0fgcbMYGF5Eafs27PAHbY8lbcIojxBFBTFZgVjZhlhMQmykD2J5M8SoDEmSEY1JiMVkxGIKOI6B4OLhcrFwCTzcLg6CwEMQOLgFHoKbh0dIJxJrGTqoBkpx7Nh51NSUora2NO2dobXRQJtUS67bxLPuqqriZw+fx0PPjuFIzwwWlkQILhbtjSW4orsKH3rdDgRMRAm+/Yse/Os9J/Cjf7kZC8sibjxg/TzNFJvtWbHRsLgYRmDL+xAMBlFSUmLatuDZWG9ICtREmKJeDtSKTNAMIv0MPfnAIx90ZjO9Rso8RiFOeu+GBrsPSDVQihIsoG5hBX0DQextT+9X65vsM7DjVvQ/c19af1tOPg9PBQu2rhhVc48AA0gaSVp+i3Zc+uPQV2annYtdiMsJ76r14bsToaQhrYWkkSTCLsnQw0gxjFYl26qdFJXAu+k/dbveDT30RQHNkCQaL5wDWBZ9x4cArHopnluepIZRad6S0UdjiFaeRPvOJlzd0ARFUSGJMXQEGvHcyRNQZAWtxfXJCsocz2GkZwwsy6C7rQW8wIHnObAcC97Fg3Nx4DgWOxoaIUZE8DojJdOaHKqqAsUlluFNdrwZRt7DjMa1AQ2VbIzaNEWqyX4oUytAaWrYymYOR9GP3e5xsCyL5rp4PGSRh8fJ/l5gd01G+88mnCoiSohEFUSiEsJRCdGYAklSICb+xxLqYS6OBX9+AYKLBc+zcJcDxcXu+GeBB19RDk8klHGYUy6uvxVhWeY9WF6OwsuEEA7HUF1dkvLuyOT3u1aELx9gGAZ/+NJW/OFL4893VVUxNh3C6cEF3P3zHvz1V5/DNz5+HXXbD/3Tk3j4+TG0NhSju6McHGc/B86O4EQB64dLimzkS4kqm1Aq5fwKxPrVB6lmgOkTl+85O2Yo57krUelbk8PV1KneQYT/kAaUnmjQqo3TKi6fKKkHVCT3RxpEJJIyuA1dcTUp3YxNyndixmdLo4L5YDOGhufQ3FROf3AQHgx54AG4OGKZJnfbBtS035lcrnlQ1MT+kiFlgdQxaMdPnh/tvJMkLnkesJAMpyLPpdbOLHRKD32+DS3JmZbQb9af1l6SZHiK6R7JTIkG+d8Obm5vp9bWMMN//N/D2HZZK8Jl57DtsjgZuWbXvuR+p7CEspJyAMAiRCiKgl3l7ZAkCSfG+6EoKormi7C9sQmyJEEUJciLYUiSBEVWIEsyZCnuSWFYFryLBcvGSUmnS8SzKyLKyovAcSx4ngPPs+C41T/yO8+zkOcXwPMeargEQA95pCGXhZSywgCloCX5W8ujl0MPWnhVMrGcRUqC+EY3MvTGq17+l1yn38YJPAKPmOQslyXl3GpqgJR9K4qCcIJMREQZkaiMcOJzVJTBMAw8QjyMyefhUOxzgecZuF08XDwLF8em1PcwJAVSBOpkb0qundX4TfuzCdo1ShuapODsZBhH54Nwe90IL8/h+uYysCybDEO2Cp0i92U2BqM2m4GQMAyDhuoiNFQX4T9/egYvuYyehwoAE7Mh/Okbd+KP37DDfv8GpNzJudnMExObBZcU2dho0rdKRII6LyK0Nx4/q689sFqrIU4c7jnbn2aUAnHjVyMAAFIrZGN1Nt9M8pPmETEiITRyQdatSJPIJWRx9a8+si+WZdHZXo1jJ0dQUeaDn0ZUiG1DIuAVdDMfpAFEEA2SlOn3q30nC+6RRvjh3v6UPBf9saeSg/RijLRrRqviTfuuH4u+HzuIRSW4cujZIEmUk98TWcyPvNfNksP11cb1Cl3k/lmWxamFc9hTvRWXt3fj2FQfzquTCERX3bsHdqafN0VRIEsKOqVFyHJ85nVlJYLp6UXUN5RBlhXExBjCYRWyrKT8KbICSVYgyypWVqJgmUUsjKhgWQYsy4ALLIDjODAMEyclU2EwbJygMAwDnmcTbdnVbTgB3NIiGC4ChgH4iASWRaIN8hJzbgt6aekMYeT9dPLC166ZKkqQJDVZZyMTz+pagyQXVqFT2UBS4kUmnWJ4dB4jxychzPjAsizKossJciEjKiqIihJikgq3i4XbHScUHoFDZakHPk88nMlOoUC7xqBV7QMzL0C2RqTZ9mcnw+iVBbz+yhrwPI8XowKWBB5Aeo5j8lhs5mgk29tQaNsMhAMAoqKEUwPzuPsTjYZtfvaFW3O2PzVQCgbm52ajKvRdjLikyEY+iUYm3g2lbwlMpRvg2KQhpqlRHZvqS6k+TRb304zb7zxxKJmUfKKkPoUcGM2uAkhuq69wTZs5N8sRSelbTV1PfUiTsrgGs6JFPgGtWyrQ0zeF/Xsawer7ILaVZMBFulm1UCkyGZYIiyJDUvSzzKR8sB6G903C49GNEDUESw+jug9G7c1IgB3CoV3n6akpzJatYJ9/m2G7TDwcawWNcNBIiZ50kESI5lminTeWZcEKLM4J5cl7WBB4FPu9VEUZI0iSBEmKkxAsLCBWVAJZliFJClQ1bhArSvy/qsRJSjisQlHUeMiYokJVFciSCkVVoY6vQF1eIrYlxxyfMWRZBgwT/2MTspGMRkwSPw2GKQYzM5T4nGjDaP3EP7B6yUkGgOua+Jfhx+PbTN6besDCIoxS/hSV/Bz/omgLB5+GqgKobIY6fT5+3FrbniehVjZBmZoGAKgqoE54oExNQq1ogjJ9AYoCMJUuAG6wE0OITS4gKsrx9hdhwqcdY5IWOhKJKnALXEb7lJu60MZPQqxowfy8C8LCEMqK3XC7WbhdPLxuutS1U9iVr9WTSNpstj40z4zI2dmvfnwrIRHn5kS4BQ5Ffg9WliNo2deKHo5HN0LY5xZxUo2bVLTCu7RwKqNr6+Sab0R85u4X8bKrG3H5zqrksqioQFGREQF2AnKSlVTBNMJGPo8XEy4JsrGRvBkklHMrYAIudB7Ykpzx1SojPzwwgHsIMgCsGp8aUdDkcTV8R1eAbldwLK2mhIZV5SR6EqwWxqX1BaSHWJHeDzI+VQ2UxuN9gwvmszGUEBMmuIC62gBm51Yw8Ozz2Hr1lakk4Ya74n0OHILAA8GwSiUxyQeISeiKtk8tPvmes6ueD9oMOql+dGyqL0UJibxO+mrgGjQlMCNyYbSc7EvvcTEiHMkQKlECwwD76ulEI1uYeQv167RQKjvVwx8eGLBdZVzbF2AsNQzYr7fRzYRSZGztgud58NoTtajW0bZ2wAQXEqQEq/+hQFUANcFEFAVQ1PhLnVwmK3HvqZogLBpHUAiyoJz/PdB8Y+Lzo8CWG4ELjwI8E/8MxL9rGHt8dTkBvTHB1SXqvUwOxtfXdUCd6AcjTwDlHrAMQYxYgKuvBNtaDWayN96+oR7MznqwYMGMR8CyANfUmjR2l/vDONU/5/Bsrj30xrOTmW27fZOYX4ygNAPJ0FppHOeX3Ci+vBtcRTlqggsAanI+e241q2xEMMzOiZ02VqDtNxKRcHwoiJrqEoyNL4CZXkJ3dyNKXCKQqA5Oex+ahUJaeS3ScpNy7cHIYyjkTx7ox/fv7cctV9bj4+/ei7JiN973j4/jZVc3YGh8Gd/+RS/UpTG89Q3XY3w6hIeeG8OXP3a14/2khRvqpMG1NpvB83Ox46IkG9kWQ8sUTr0b/E01iP3gPOQX5rDt8tYUwrHtstaEytHtq5K0MJdTJdcDiIf+JGwJ0tCKPwhTcznMVJH0MDKIydn95CzOjqvSlaqIZG2t/YmSenRj1fuw9UAnjvysD2WnjqLimptS80MSMxUrURU+gVl9aCbCpkiooz3x9juuWl2m83CgoQsndMekN5TJ7/qCfwBwD1I9BOQ1A6xlVPXraV4mu9eIbKdIChjeeHbTqUfDzJingTxvGoEgCYfeW6G1J8Ot9L8rs/2b/SY0cm4nBE2WZXB85gX68gE1UAo2uJAw5h1OD1but37hLrHA8uPx31JNvE4NQon9JJKOk9+1kKrQ46YGS8rvsW7/6rFIPqoRkDJD70sYyvODq8sFNl0WlkklTRsRmYaLOWnLNHRBHj6Nk/3zWArFwDAMdm8tM2wvSQqiiZoUsUTytigqiMZkgK+GKEnwUaTNcwGrJF67IVGZhEmR+7balmnowrn5GKYm40Sjta0G1TUBMAwLny+VyBlFFiTHShF7sBMeph8PKQOdManSQiHzRDie+7QPb/mOBw8+O4YHn41P4rEsg72dDN75qcfwhze3YGwR+OQ3DmNgZAk15c5VTm3/hmx4NwrIPzZO2dAcQJttNvq+0cCWuMDfWgvpyWlIz8+io6EGW/dswQffEC9aphli5Iz7u647mPRq6EEu146bNH716hiZqO50MyFDwzmZVGgFGzHfgsCj88oDGIiUQhQlqjLP3LKKylkPNXwqiQTJ0MfP6mecyGPS30P6ZSTI800a7kZEQ/+ZlhejwUoG1w5RUEQFL06NGY7fSe4H7Vw4TRIHYEo0NGi/AadJ5TQY/V7MEIvJ4Pm1n4vRBAxIIQP9d6fQJx9nBKPfrIWhou2b/AMyn4GmtWfZ1LCtjRQWYXa8tMRwsz7MoCgKXjwxguO9cwjHZLQ3laB53x4srUg4P7aE3qEgTg3M48WeWTx/ahpPHp3AsyencKp/DkNjK5ieiyAckcFxDMqK3di5vS5ZPTsn9w/o+TRWXgr9Hw2k8W1nOW08ZpieWsSW5kq0tsVVvYqKPGlEQ3t2k79TI+EU/fi0z8l3E3G+09roPDwZXxvtd5snz4Zr253473+8CX/+9l0oKXIBAJpri/CSK+rxyN+48Nc3jiMaA0LL8fpPv/7Ky3I+Bqtn5sUUarkZcFF4NjYSoXDq3eDai7HzrXsw/PgQlp+fh7gk4vcVFxDb4sbt//g61LfW6GbL6SE1+ll4WgJyMi8j4fHIJE5f7ypO+TFrD0FyNoxWf6P9YNqsjJ4IMcEFVJT7MTu3kqwunoL2g1CWJ8GNnYy3J19kFJUsdbQHCFyVUmtES2TX197QDFOjRGh9MTlaWBU5g072vWtxLDkuPSHRF6MjQUsyN4M2Xjkq4crW5mRVej3s3AO035ed35ydNkak+dhUX5KU2PVq2IWdc5hJgT4jGL3waImjesnbNZe9pRXuI2dBNZhMGFjNgJup7GQyW8s1dEGZGAIQ2/DGg9ProdWiiCVygcpKBGquhCQBA+dmEIm6Ud9eh7Gp8+BnT0EQOLg4Fl4PhxLOBUFgIfAsBN48iZspTZ+IspNDYOe665fRrpmd62jmLTLq1+n9tcR5EJNkVFcb1xCgTdqZ1dNILtePg1BxtHMesyaAeVaTE1wc3vvqLrz31TpvVP8gHjgew+HzMpYjwGtubnFcIZx6bc2ep8Q2hZCq9cGmJRsbiWBki/orG1F/ZVyhIRaKYeHcPMafG8Vdr/5HdBzswKveHn8omHki9GE/eoNKIwndCcLilGiQhnAmBc+MkEYKdN6L1j3tOPbEaYzN9KLuxptTtvVMP4dQzAfNAZv28kFX2uyS/rsmY2sE7Rwa3W/65XrCoYVT2YnhteNpsuuJ0O4HOSbHa2xEnIdA6fvKdDtye9KbYScciiwIqJGOtQiPlCQFvAON90yhF3KwK49rB45eqqRMtLadRihIwkHCwFhxIjfpdHuap4BP5qYosJMObTbjnGsJTKYhXmhPkhSIYSmudlbVBml6MV5vYnw5WXdCkhTEJBWysvqZZRO1KHgWkqSgptKXrKNBQhBYNHsW0dpegorSZaAm8wKemeYKODXisjH6rK4TNZzWAURRwsCsiLm5KTQ3V1omw5vVoaKNw2mCulPVrg2HxPPl149dwFf/F1heiqKuugR9Fxbx8XfvddwdNcTMoC6RkaBAAWuLTUM2yLjrjU40NIPKrodDM6gAwOVzoWpnNap2VmPLTS048d2j+Nxj/47Ol3TgHa+7E8OL83jp9QcApHs4yGRlowrYJPS5B6RHRINGWowMYSPt8JQ2Nh+AyYRt4oHNA9h2WSdOPC2hZCWCIsIQ8ggMwkEFGDiU5AuaPG5SkQRdhlxCX3sEWM27ODbVRyTRx8PXvvNE3OCyCq0iz+VJG6HkTombE+lbWVQgFGemSEOC9ruz+i3qvT/6ZU5A5nlk2oddKIqCwcFJuHgOigrbdTZoYVdmXg2zehxrjgRxUB/7Upp8tKEXI8t4bzNDykpRiNyeZVmoM8NQ6qttkQ0jLxINkhQ3/OWE1K6U+C/LSpIUyEpc+jgmyZDHB6FUbIGUIA9yQhaZZQF+fg4sx0CILYBj4/eUq6IZ3Mx5eNzxOhQungXPxu8ngWdTitmthCUc651FRUCAXxfGsxwSIUoq3DYkZ/XnMJd5GJnIs9o1wNfKSIxEJJwYXkRJiRf797fA4zGfddc/v9djwmDdDGibz4DZipfg8UfO4xPfOIySIhfqa0txcmABuzvL4fe5cjactELAiZzMAtYfG55s0GaOLxWUtpbhmv93AyaeH8PoMyP4+Pu+DC6s4FvX/Ao//ObfJ9vpDU/NwNVIBjmzTno4tGJ0ZufUSUw/DfoXCSlNqMHKuPL7PWioK0XvfQ9hT2cZuKYdUAFEz/8aHp6FOugBewMxc0EWFdSWJUgIqailJ1BaBXAN+iRtIzKmwe65IquYw2JMtP2YQSNKGhRJAeeKGyC59gw4JR929k1ur41Xr0yVT6LRzYQQCktgGAbNLZXoVb1oV0KQJBnhsGhaZwOI5w9wHAsuHALHMeAT9TQ4jgWXqJPBcSwYdibxPdFmchEcF1/PsHGDU/vMsACL+Pd4XY48ptrpiYbdthkg21j6FE8mFCyFY+AXI1BUJSkVLMtx2WFFVVMkiOPrJyErClRlLE4cZAWq4oM8cT5JEgCA41avH8ez4Fjdd46B4OLg9wlgoh646kvBTw+Cb+oCx8aL17EsC3U0lji+xtRjqC+2dbxFXh71VT6MTYfR2ZxqAM8vifAIXBoJyTa0yUkFe6ekxUkYHc3bYnc8TpLKlzgP7h2aRWllFS5ri18XJ578FOERh9DGRZ6XfHmVcgKTJPPlUAw/vG8Aw5MrOHx6BkPjy9jeVooPvm47/ue3Azg5sAAA+MJHr8x492bXUQ2UAqefAVDwZGwUbFiycSmRCmDVsNInzXI8h4arm9BwdRMAYHE4iBe++hw+/Sf/joN/fCtYjk2rBk4r0gekFu/rZkKWBeTIGhwkaKobVh4OWnytnRktDc1N5VjoB4bGl9HWBEhn70UoCgQ8ANMWMdwuGd+aGB9Z2A8lvpTjJaWE9cSC9CaQJMSMYJiRB6fQ18IwU6sijX4lJoMT+Kyq3DuF5qlz6s3QEw19AUCz4n+5hKIo8Ps9CDZuQQ2AFpuGhhYuI8/PQZGKIclxCVptJlxV1QQxUaCoKsSYHK+3oahQE3+ysrqNoqpQE3/xGhwqFAUQBA5XHmihjoFG5jciMjGCadtqz46V0xLODM7AHZ4Cx8eldBpE+OYAAQAASURBVDWSx7AMeJYBk6g9wnEsBIGPF1BMkDle81BxbLzoIqt5q8yJXZqHSvYB4RHAL4BxaPjbQUSU4dLlEimKgomZMDiWMVT4ymS/mmfYCYz2ZWdZpipLZu3TJrZM+h0LqXhkcBK1zdWobqiAkSx8LmBGhDRs+N+xjmBc8dZf4K13dODDb+7GZ+5+ET3ng7hyVzU++tZuXNFdnfRgfPB18ergqqom6/7kCwWisXGw4cjGpUYylOUYIKtgA/EXk94g1BtYJU0BXPu31+O5Lz+D//7c/2H3u/YBIAw6zSjVG6GJ+g4aaIREnwRtZ0ZHn8iqL6hDVvAkvRt68gEgVSaX4obedvWVePGRJxE4cxSIAF4B4NXUF6/Vi4qWnG0FWlVxOyTDrCI7bRtyWyfQh1Vp11GrscEmDKa1MtZpClJ25Kg1kkT+BvREI1OvhpPChaIogeNYx+FtbGIWGzXVeQuFCkVEHD0+Ytom5waK3oOhn8nMoXymWWy1WWJsQ10pGutbUFHuX9OQG7MwLJpBmc24JudCWFiMYn9XVcpyRQHEmIyd7eWGBrxTJEmr9ny3mTuQyf7syuCaEQqjMViNRxQlzMo8ZmaWcCrEomN3M64ojkcH0CICssFa5rSsB1w8i6//3xmAYfDws0P49VdfjmoTSdtcEI0ULxx5nyS8Gmv5LCjAHOtONi5mcmE1m6zMRCF+K24ACe/vAFvuTmtD83i4Ax5c8dGr8fQ/P4G+X54F86r4j1aviKSBVpSPNIY1D8Y9SM0D0YoHkn3QQBIMvRKV7Rhegmho22p9a/24AbQ3BdD/9AMonXejGAxQAaiDHqDdOBxAHw9/oqQ+ra3eGKUdL00FjPYdlG31CYT6iuP6tnrCYWQo04iQBkVUwCUqCOcj9EivyqWBpiJ19oVzSTlbIP18054DdomG0XUxameGk6oPNfIiXK7s8lychJ84hVb1O2V/lBCMvIGmWOUQ2cTv09Z5PS6EwjFUWGybD6Q8twxCg8j1mWBuMYJzI0vY0VaWpiLF8yyqyrxYCokoLXZexE8bFzWkCanhr1bbZAK7Hi7avWEnr4fWZnExgqFgDMcWFBQVe1FSUYlt2wLY64oX6KOFIGdyXFZ5SRpEUYIqKqYKYRsdb7mjA//2v6dwon8OX/2bG02JRjbQ33f6kLNc/N4KyD3WlWxczETDDpgKAfztdZCemkHs58NQFyWwzT5w+8sBjoH04AS4y8vB7SxN29Zd7MbWV27DhUfOpywnDTxqBWvdZ/KBSrYnQ4QykcglZ8RoM5L6BwQpkZvygA5ctdrpwCFUAZib9+C8O4Q9KIr3oQujSunbQuHHasabts5oG6NwIaNiT2bjohEO2n7Nxi+LEtgsjWYNRp4J2vHSBBK2XdZqKL+rwSp0Su9500B6duyQRjN0MyGMS3LWeRH5IhqqQp8RzOqlmsdKwpnATLJUb0xo7b1eAeGwmPE+c0kOjYzwTBWSRFFB7/kg2psCVIlQRVGwsBhFdXlpRuOljcXoGuiRD3Jrp08agTBapsfs3DJ+Nybj+i1+vKErQAg7rN4/NK+0U+KRQorqOhGOSAifO42IKCMSlREZeBrRQAOiUQnK9AUwlU2oVmYgSgo6twQsQ/g2Gm67uhH/9r+n8Gdv2onujvK87suK1Bew8bBuZONSJxpA3Gjg95WD31cO8cdDAMOAqXQj9r9DYG+ugToRAf/kPLw9EdzfNIvdXVtQs682aWx4yjxYnlhGaGYFzwQn0sJkzFSL0iqHmxhlpAFn5eEwSpCjvgR2XAUQhESbmSW30atMYeAQ2spY9C4y8JtEG2n9aPU0SJBEy8wzQB6vmZFPKySpKVkZFkB0qFZCq5tiBSWmgE14NkgJ2mzkb7NRgrIbxuVd2g1gybC92f4zIcYatGslSQp4ns2pxHOuoCpK7uOc15hoZGug0nI2fF4XZuZWMu8zi4KJdgxc/Wy8EwxPLsPvc8HtYjG7EIEYi1f5FmPx+htzwSgkSc7Yq6Efo93ZYadJzE72b7ae/Kzfxurcr4RE9A1O4/Z9W1Feni4hbASr0FZRlCCFREQiIkRRRjgaQyQqIRqVEI3GEIspEAQOHnclhNAIPAKHioAbHvcCvNt2wONpw/MPPI4ZSUFxkYAT/fPYSfFi6Y9rTQ1sk0mJcETC3/37C3jJ5XXY1hKgtsk1NnxOSwEpWBOyQVOt0RsMFyv5sJuYy11fhdgPhqD0LAICC6ZCAEpciCgSIn1zQB9w5OFJ3PCPN8NfG39IVnRWouGqBjzzuacgv7QKaAfuuvr2lH5TkopBLxanhUxp0CdHdzMhHKaMWW+MOZa/Pf1MiiwtLbcDowB0DxV5SwQVQwx8nMGsvSaFu+MqdCO18CCZs6GRMX3yt5HiFOltoBENDQ8PDOBd163mymjbOiEYdvI2rAzrrcWN6F8ZTX63Ww3dCE5JhpEENI0wkV6NcPFxAK1pbcwIj5EHyi7I+1iKSXDxLDpzRDRyOWuuKABrQTacaPPnA+TkgVUYJa2tUcgOrQ8NXp+A0PAA1PJl021oyEZ22Ghc1JCkDI2j+aUoxJiC3gtBuHgWLp6F28XBLXAoKXKhpIjH4MgSFEXJyiNHS0526mWw6/3QqxPqP5sJiNgJtTNaPzgbRU17oynRIMONad9JhEIi+vrGsLgYhTsWhsfNQwiOwN3YgbISL4T5c/Bu3QGPwIMZ702MqTH1ODw81NEe7O6oAM8DXNMOnH3qWZwcmMP+7fR6Kdr5URQF4bI2LJ87jXBERigixb0mooyG6iI01fjM7wmNQNjxbpqs/8Q3DkNwsfjKx66Gi8+NN90KVvdlIYRqYyGvZMMJgdgM9TMyhR3CwdX5wLy3Hep0FEy9F6yXx83Xd2OudwZSREYtXwZe4LFr104cn141rN74p6/G8YdO4ZHvPoYj555H+5/Ww19WZDkm0i3cva0eSNTm+M4Th9IkYE+qPhxIJpinPoCNCtaZvrRJ3X5a8mlDV4rev/6h4rrggaqEIDEKeDYufcsgtRYA09CFEwYz02SV7m4mZOrVWS2E6IN27GZGvkakjYoq0qAPp3KaIG7kZYmJEnbVd2AgNu6ov1yAVsiPLHaoB1lH4+wL56heDTtJ5oDzautA6vWRZQUuIXfa71ZwQkYUVQGzwaMrjGaZyTAoMr/EaJaaBn1bDT6PAFQ0IiKG44ZdloZGtgQxl2Eel+2oMl3/wulpVJZ5cyaJbHSOjdrSrikJ2nEbJXHr7x2jUCm7SeB64rq8HEFbW43pMdlJCo9ERFy4MIvZoXHU1pRgd3cVcf4JaWPZAyZRp0Nfckl/v2teDHW0B53NATxzfBKhiASfh0dElBCKSAhHZIQjEkK9TyIaUxCJyvA0FMG7FIHXzaOs2A1vFQ+eA/ouLGEuGEVncwBFXgNTLwdezR/eN4BnT07h5194GYQche2aoeDN2JzIG9mgeTMuZdghHGyJAJSsusJdPhdq9tYBSC2KpiFZMO2Wbmy9vA0P3v17fPOD38aum3YgWqHisr3dqG6pAu9avczJsCGsJoaTeNd1B/HWe76Gd12XPj7y4UsmPNMeyprOdcrLgjZ7oi8Y1n4w/jDRVzMmwHWI8J4DgitAhYldTsrcJl+GBjUuNBgZp/rjswonyrQ+iROiYZavsad6Ky5MjYB389hTln7v0GDXmDcbj76Qn52wK7uTDGv1DBFjCor8a5cg7sSoVVTYNio3WpiB3vDTezY0GCX1attobfTw+dwIRZbgbe3OWIWGVmwxl6Qj19ckIkoQYwq6WqwnmJzCzjizIVROvSFGoV16L4h+O3n4NILFLVgIhsAyDAa9pegmZG31BXBJ6J/HiqJgamoRF4ZmUMbL2L97Czwee2aU0/uxuEjAyb45xOR46KTXzcPr4eARONRUelHk4eHz8GDZMFCTniOxp7MMw5MhHOudRXOdHw3VJveIEenQ3s8GinSHT0/jC987gW/+7bWoKE0XuCmgAA0Zkw2a0UurGFxAZtDP7FqRN1/Ahz/48ztw4eQwep/px8rxGfz03l8CALa+vgu333FT2j7uObtqjK96LuKhWLR6HYd7+9PCqd4RKDWeCUrkZACgezNI8qFz55opn6iDHlQFQpicklHh00nfDnoSn74E5oa7UowFzQAxM+iNPBJJL5DOE0IjgbR+7ELvuteWGY1Zvw/yvpBjEgTBeRy3FekwIxBkCN7h3v6UKuzaMhq2XdaaJORaMrmdHA+noVJ2yFy24Sh6WFWpdgJVUaCJUVnlC6yZOpUD0EKmyP9Ws+q0WW2trdftQqS4xXjfDsIYnRRns8oTMBLJyBaLyyJOD86jrtKbVswvUzg1iI3yPHKxb7NcEbv5HUxDFwb6J7EwPY3iuip0V/HwOQyP7GZC8VomvcO4MDoPV1kp2io9qKpMDcVKEz3R5SA6RWtDMcSYAo+bTXrrnJxjlmXRXOdHRUBAz/kgZhci6GwJwCPkYI458d7+/PdO4H2v7cIBC+9b1jCLhihgU8DxG9VIEYb2PdN+L1bkos4BLd+FxJbuJtzynpfgTf/wOvzJf70f177hKpz/5YDh+dVUpw739ieVqQ4QeQbaf9rM/rGpPtxzdixNIlD/omYausDccNcqmdD+DB4atBdJ8nP7QTBtEdTsPYhgVEVEUuLrBz1JokGqU+mNBdLg0B+TWXgUaaiSyl1kdfFs7n8zo8bKQKaNWxIlgGGSNTa0MVqBPA7aPWOV96FXNLML/W+DDL0yO7dm10y/f7sJ37GYnLX0LRC/17Q/7XvK+gyMM3msHwzDGIamkAbORiIZGkgjkPzT4CQ8Rm/Ae70urKxEU/YDOBdj0F8zq+1px5IPcqHH+bElNNQUobWhJOd920kQz8U+7OZf2G1DO9+LS1F0ddRge50PRQlSRj5vjZ4JiqKgeXkW585N4fCjJzA1s4St7dXY555AZdS81o02lmyuf1F7N0qLBUtyYHVe/D4B+7sqUOR14WjPLCZmHJCt9oOr721g9d0NoHcoiN4LQbzptjzVb9JHPTjERnz+XcpwRHFPTA/AXeROU7YhZ0LNyIgelwLB0MNuwrjRzK4TNSCGYbD7lm78/p7HsTiyCFSnt9FXpdbX5NDQzYTwjkTugmF9hIR3hHw5k3UyqKA8UAxDIAiCIggsyjtimJhg0VJqUeWXfHEmwqhoSYBmyl16wrWay2G8XyvvRppiF6X2hlGyIrkPIL2SuBiJweVe/Xnb/a3pf7/k/Ubrw0mxPKP2+vyOfFY6NyNu2nWWZSUr2UkjSWMrhTYzaPewoipgZofA7LwmZbnRLGquXrhr5SGxG05FSyD2eQUsBCnhnHBOODLdhja2fJ03UVJQTHg0crUvGtHIJeEwG6cd8uE0MVxRVbCs8fVUFAWt4TksL0fxQIhFQ3gRoVAU0WgMz87MQXL7cMW2imTBSKsx5Ot6W50zM7Asi/amElSUetB3IYjZYBRbmwL263poE4MJ4vHpf/0FFthavOyqhmRl8LwiA29Gru7ZfNZMupSQkzCqTHExJ4WbIVuDinbOjAgI7+LRsqcZky+O41ijNVExkri95+xYMtSKDKXSjsOo37QfKRk2RXONkrkaZLwoGWaV2L58zouxiBzfj67Whpb7kRJKkkg+B5DihTEzKkiPBm1mfNfiWDzBPgEyNA1IPZ/67Wnx4bT9m8GIzEiiBC6Rq+P0N2Y0gUASYC1cKhupWf0+jcaQS9gJpZIkmdDezx65eFElZ8xnjoCtaU1ZbtcbkA0y6dfIw0IjEGbhYEb9piWJ+wSEI7GMSYIZUsIxbRgfZOJ0vuB18whHpKTkrdN90fJJ9MtpeTbZwIhoWBnxNFEBWzklgVIAQ1ADpXHlpvEpLPNehMMxrIyMIBwWEY3G4OI5eLwC2orc8JX5UF9fBm80hGPRMLa2V6G81Jc2PqNcIyewm6+SK5QWC9i3rQKDo0s40jON9qYAqso85htR3sM/eOr/AAzj/713X17GmQtkmrcFrL6LCyQjd8j4jUrL07gUicNmwNz4POp3bjGNwSdBa6cZtUxwIZkIrBmfVjUlAHtKMwBWZWv1DzgC6qAHTFsEfEsE0lF+tR25XeKhSE1KBf0BRMtTMSMatLhuKwPcjHCQxowR7OYdxKJS0rNhZrgbedD0v2kaOaZVUrcTOmV1jtY77ytbz0a+XlTqaA9Q0w5mMZxxH2uZw5HNfjIxErweHpLHB1GU4A7HJXDJa5ENCaGFY66nIaIoCpZWRLTUF+esT7OkfLMcOqf7yGZ8Vv3INZ2ILEfiBfQEL6KDfZibW8Gxo0NQVMAjReDzuOCprkB5eRGKisrh8wnJyQXyPjn7/DCKiz1JopHr46Ehl8TOCDzPorM5gLlFN/qHFjEbjKCtvsTYy0FJDncLHKKiDI7Lcc2fRP/J8K0skQnh0P+2C4QjN3BENnZVtcPrj5eg1898ZpJMqm1P9nepINfhIkbnObwYxvTQDPwXAvjxp3+O5l1N2H/nHkNpTysDTw3ElTzedd1B7KnuTyhahagvc9MXMoVEJEEuN/oMoMQDyAowsSyj9oFH0r0b2jgIGV2NzOgfQJq6lr4AILlew0nVl6J0pYdTwpEcp00DRj8WEtp+JVGCO4OkUdr11+5To5yjTJW3cgGn+zYjaloiqKIgJ9V7c22QMg1dUMYXwGL1Be80N2CtiIbVDHY+wLIsvB4B4YkpuAOr15lM0NcTQSMCon+eZWKA5JPY9Q8vwe9zGUua2oDeQ2AVGkTzKK1leJ062gNRVCBKEsJRJa7EJSqIiDKiYry2hKpOQKhrhcfNw13JwePisHN7HUpLPCgqcoMpKze99tqy4IUxBJfC2LerMa3NhoSRapQJyks82L9dQP/IIo6enUmGWZn2n8DVu6rx+8Pj8Ah5kLqlCcisEWg2DFAgHLlA1p4Np+vs9n0pkA+ScOSCfNAIh7fEizd9+rW49+4HsHVXG3qePIvnfncY7/rs21CUmLHRtjGqlq2fsWaCC9iFBeyq9a2qTSH9BU2qQFFB80aQ6yy8GxyArkoFp2ckyIq6qm5OJqJTHlz6WHB9eIRZEnly/waGpJHnwazuht6oyQUkMYaiUq9lO7Lw3s3t7bYnBzIFGVaWba5HpiSHdo20a3E0KoDjmKzVqJy+nOwSE0WJx59nirUyDtcjOVMNlMKrTCAcZlEaoJ9TM1lbs9+ekxAqIL/Hv7gsYmExir3b6AXf7MJKXlZrY4Zc5gQpioJwRIQYlRA+3wOxvAULCyEoDCDHFETHJ6GqKgQXB7eLjVfkTlbi5gnVpmaiZ90z0KYyXHAxgvKyIggmydn5ljV2LPSQgWHO8yy6WkoxuxDBwPAiZoNRtDUUp0+2JN6pc8sKTkj7MTz8JACgoyn34gQp+1wnOJo4LcAWchKYbBb2YNfjYaRsdbGTDnK22KjishPQZEtb9jTjj7/6HgDAvo42fPEjd+PHX/kF3vnJN6dsp9XdIHMy9AbeSdWHXVgAkB5nq4Uo6ZMyGVg8hM28HBQkPRjtBxEYOITdEQXHn+NRdFpA2Q6RWrtDW0abnUvGA+sUSuzWvEg5tsBVAOwZ03bVkYzaG3k1gPjLmXfb/3mT96Fewlr/29RXXTcDOSZ9ErsV9OTXbrE+s0KO2mejNtuUOZzizK35fLx0bBf1U1QwBNswMkhoy7NNmLRj/KQ8C2yOwSzUwUkYBBNcQJFXwHJITH4n19HaO/lutIwEzUuQa+IxvySitMRtP7mXArvn1Ez1TOvHzvEpioKIqECMKYjG4rVBNK9ErKwJ4sR5iKIMl4uFy8XB7aqFOyYjHI3BvTiGrQ3FELZXZK3MRBMMMLqms3PLEFwcGupKbXs6MxF9oC1fC6JBoqLUg2KfgP6RII6cWfVyLJ64F99/QsKxCzJ6pwXMBiNorjuO7h1b8MMv7kVxUW4kl/MJp6FUViGTBeKRGdatFi1JJkhCcbGTCzsgScfMmWmEZp3pggPAk8dfhKqmSyW92D+I937qzVgcCOLenz+UXK5dj5OqL6XYn5FRpwZK43U0kB5LS31J2/mxk3GaJuFT+uWyEr+RRUkl6mxYI40s6WYzjIhASs5FhsYcqS6lN4TNttHnkpDQrpWiKIiJsYxqbFhBL/lrNE6yvfabzjSZXE/c8hW21c2EEIsp4Pn8V8HNFKqqJutskKBJrxrNWmecNJlhqJaVolE2ykN6+LwCwmHR0Ta5Rr7j7lVVBUe7CWzCjNg57UcePo1oRQcWl0XMLkQwPh3C+bEl9A4FcbJ/DkfOzOCZ45N48ugUjvfOYnBkEdNzEYQjMnieRUXAjeamcnRvr8e1V7biqstacWDPFnTvqMfWtip0eINQFBUlfmsJWLNjMAqHMTIam5vKsaOzDktLEbxwdAgTk4vUfeXqt2RF0gGki6rkGILAYkdbGVobS9A7tIAv/fcJvOxfQnhxSMYN1+3CV/7yarzwP6/Gb/7tNnz2z67YFEQDcPYMyWSCoQB7yFsFcTPoJXPJ5XbaXQrQCMdv3/MrAMBlf3oFqvfU2tp24dw8nvrM4xjo6sEbPvkauItSK3sGyv342Jffh3/5429AkRVsuaEFe6q34p6zYylEw8g41B7c95wdw7HZKL60e0864SA8HNoyIzANXUjSIoNkcBpCooLz0yqCAy40lbCo2R0DEEvfjlCy0tOvFOlQg4eKXn42bew2XtK0mg9G+zHbH1n7hNbPgc4OREIiPAsqxAzzDuyEShmplpHj1MaWi0RvJwSDVhFYXyeFbEt+l2UZHG9uyJnF8dqZMc0GiqqCsTA0raRFUxTaHPaTiUqU0TIjZGPEaYpU6wEjBadcw+vhMDmTuUiAUeiP/vNKSERk6DRiUtwjIUkKoon/4pknECttgDg+BY6bhuBi4eLjf24XB6+HQ6DYBbeLh+Bi4RFYw9BEptS3OiYdUSsrEXB2SEa0ogPu2dT3kZOwJVqehtXvs6TEg+4d9VgIhtA7MI3pnpOoKvfA7eJR1rU7o3FYjtPMo5HLsCKa9z+BylI3vvbDUTz+4gS+9Jc34Oo9Nbnb7yYFTcilAGdYF7KhgRYqVag8noq22zsw+Lt+TJ2YtE02imr9CLSWYrRnDP9x13/ha7/4FIpLU6ud7rpqG/7f3X+Kf3zf18B7XNjz8vh51yRuzaAZaO/YVo+TnR1QzzwMgHjoaknYOsKhtQGwKkWbUIwCQJ21Ydoi1GJ9s0sK+iYU1ARYdF4jgefZlHbadgycVR7Vj5esK0JK3Kbkdoym9kELwTIK/dHX7qB5OZyEWgGAGBEhuF3Y1dmWHLtZWGIm4g5mJCMXyJX3gkY8yOX68cZi9mVvjZKO9etzCVVRwSXCvMw8FWZGi5FhZBT2ZDcu3amRTWuvT3h3arS7BR6iKDvaJtdwHALjEKGwBJ/H3j1qdr2Yhq44gShrQ1SUEJteRHRyGaKoYO7UYxifCaOsWEB5+za4lobh4hkU+1zgeSZBIlYgVFWnhRg5Nb6NrjXT0AV2tAcBv4DZ+WXUE8szhZPfo3Z/lgZ82L+7CeOTJZjsPY1oTIF38il0d5RTFbKsEu3NllPX5yNRWp8TSeBz9xzHk8cm8YN/eglqK+2FEm9U5Ir0kyITBWSGNQ2j0odLmYVPXYreDBq6XrsDL/v6Hdj+hm7b27i8LnTcuRUIuCCFJXzjsz/C4d7+NE9F1752vPzPbkfPD04hOL3qJjabtaYak/pwKs2LkAipUgOlKSEeSegrk5LLTaARjc46Fq3VbMrLTu8FSYZVEf3rZ2DNHkhatXBS+tdqhsMoFIp2DUhvhtMcDm18esTEGPrGx233QasKrica5DnIBnb7yFX9DjPQvEOyrCSNeTswS+43uj+yEQFQVKRVENeHTGWbp0H9rdpcn62Brf9NOu0vy7z+nIAWwpYrTMyEMDkbRm2lsfiDKCpYCUtYWBIxceIIRqdWcG50Eb1DQZwamMeLPbN4ftKLJ58dwNPPn8PJM2MYGp7D1OmTCEficqaN1X7sbC8FV70FjQ2l6GwOoLWhBA3VRagp96G0WIDPw+dEtQ1Ivd7kHwBUBNyYnVtJaW90jjWiQ+tHv71dqKM94CZ70YhJ7O6swGW3XItQWML0PN3jnlPkU5GJErL85f85iUNPDuO7n75hfYhGHsPEClhf5M2zQUtUNkoCt4NLJWGcBt5GrKoe5Z2VqOuswvjzYzj96Bm89J03Akg34t741tsQ7JvFr794CG/5zOtxfKYfe6q3UmfizUJ40maziAekUQ5HWvuBQ3FvBKGwqg+jWukR0MeFsPWqW1E++0hqnzqiQSaSY+AQ1IQ8rhZK5STsQZPGpYF8wWkJ4hpoieI0ZapsoCccD0RE7N3W5thgz6VX0Yxw2YU+T8NuUroGsyR/I1IXi8lwuVZzNjIhgFbIZnZMVRSwLP15kBbK6FRf3qY3Id9KU3YmAaygKErWimIbDZOzIZwamEdDjQ8zC1FMzIQhSvGwJklWIcZkxKS4WpmLi0/CCK74fxfHwuvhUMK5IAgs3E01EAQ+RW1JHV1O22dkYArh80GU7tmfaGMdeqf9d3qfGLUvL/Fg4HQfpO5VL4pR+BdNtMRsnGYwzDEa70VHcwl6zwdR5OXh8/BpY8iU5KeNdw0VmR5+bhQ/vG8AP/yXm9FY7bfeIB9YRwUqKxS8Gtkh52TDKCRKn39hFkJlpVRVgDVcPhf2vf8y7H2viu0lLYbtDvf2Y89r9+HwE6fw83t+i9e8886Uddr10VfATvscQFJ1Sh9OZQhKEjjTFkn1QugIxLmiEGrcLCp0REMDLccjTjIA5taXrPariw1OPuRHkfTUkCEyRipcRvK3gBZ2FQIoksJOyZwRaMZwNBKDr9iLAw11aca93RwoO5XmjQz/bMmTEZwSDrtEgSzmqHk29MeQCemgFZSzW9/B6MWmKADLMmDq6OFHVssygVNjzi5pyUdew3oTjHxKC0/OhhEvscJAllW4XByKvK44mUjmS7CG3oaUaxY8T1XkS67XwS7JsNue1r/RuRMEFn6fC3O+RtRUpUutWt2D2vOdloRtZ1w0lJd4UFcloefcAvbdfA3ILCozxTWrMMS8gMhZBJBq0CeWy7KKf7z7KP76XXtyWiiygAI0rMuT2cqQyafO/6UGhmXQszxk2sblduEP/uIgzv1uEOP9EynrNOnTbiaUNLaY4EJarsE9Z8dWZQXJcCpyLPrwC6PiPSazG2ERoLxv4vvVKVGpg55V8kFTuYLBA/70M/TkXxsueTLMSoN27vRGstUsv11DWYMWiiVGRQieeNFGmmGuXVPyzy5ooWBm481FOBR5DNkW8TP6ro39jOjCIL86q6cngJmAltNhpnpiNoOmQAXLpBb1y7WRQuuT/N0afaZ9t7u/bJAWUjYzDEVx2EcWoW3k+cqXwShJClDVjI6mALpaStHeVILmOj/qqnyoKvOgtFhAkZdPmfm3M+58wSjULtMZ//KAG7PzibpEGd7zetJh1o78bzSmlssug6exHb3907b7y+ic50KFymL7e5+4AI+bwytvbDZtt5mQT5GGApwj52TDyICh1eLQPBhODJ5LMYzKCRYvBCEuO5d+rGuvxRWvPIBHvvuYZVtabPof1aYacWZx3YaEAwnCYPBgVBQFogS4Lnio65PjS5AMgPBm6B7YTlRMdi2OpRmbTEM8+T2Z6K47LiOPh5mxrJfBpa23g1g0BrdnVZYwF/kWepJh16uR7e81F3kiRudNny9zUvVBIXI2ch0+RULzXpB/trZTVGByIK95Acl9UeLenYRY5YME0ZBGeCqbcrrf9YYoKjjaOwt+fhhNNRnU/qFAL5O8VoaZ2TU0m/GvCHjiBf4SLNJOqJ3Wpxk5NhufnffXto4aLC5HMD4RtJXrlBFISXinMFGdIt+J3/1VL95+51YwTOaSyhsJBaKx8bBualRkWFUmuRtkPwXEIS6LeOLTj6Lphmbsevsex3ku++/Yi2d+9jyWZpdQXJHqStVkcWnhJGQIEi3kIq2dCWgJ3tqykAjwkwLcN1iTqRTZWz30KlgmSAmv0rmhmeBCqmRvQxdOlNQn8zto6kTdzGpYFUAPRyLPsT6kykqhSlEUxKISXJSCfkYV4u2AVlDPSJo3l2FU5P6c5myQsFvLRJEVcImcjXzka2iwks01aqcqKpg8+KPtSuFaLbdLSmjbWxm9dvtkWSSMUpYavkYr0JVNPHY+Q6cA4Pz4EkqKBHQ2B9L2mc11I0Ge+5RnuBq/36z2k83x2zmGovZuuAYfx8JiLcps7NdJDoWdsCaj7XmexfbiII6ekyDJCpoaytLarIvhq0ULGJEU4r34XL+EidkYXn1zy9qOrYBLCnkPozIydM2qjjuB0zCQixmCPz6bPfzYECRRSlP8ssINV+zGll1NmDs+SV2vhU+ZGWu0F6B+xod8qTENXaYPRVL6dnoRKNu6WkeD/EsbB624n7Yfg5CqJBJKWikvIYPwK72hpRENuzPPZh4CKy8HzYAWIxI4F29bvtXp+PSJ7VZhSrlCNkTDCSRJyplnQ++5UAOlpuE6tDAq/TaKqoLNB9vIEbKRfc2FUZbm5dARCX3OTLZJn/n2MM0tRjCzEEF1ear6lF2ioQfN8LZMpq7tyJv3w+wY9PvTVKmMtskkpM+MaNBINK2d3ydg5/Y6TM0s4fipUYQiYnpo3xp4ItNgI/xqZFbGdx6N4Q0va4NbWINiphtUbSqbMMoC7CHvb621IgKZxJ9fjGi/M378g791Pnt9uLcf3S/Zjgd/8VTaugOdHcZJrfrkwMe+ZLofs3hwav9tEUREBeM9POqDXij3RE3bJ/djVE3cQF88ZZ2NCua0F8hJ1bdqyGgvcYqRSebAmMGIdOi9E1pfWo0NMzg12u1WC9fjcG+/rd+jHUK8FkQDAGRZBe/Kj8PXzgw6SThoIVbK1HlqBXHbY9ARfXIiQP9dDyuDibZ+zQ0sAAzDmOZsbCa9/ImZMOqr4lKzetjyFOuIhFHysn5diqE90W/Zhx2Y7ZsG/f4qAh7M9Z7JKMHayuA3uvftiBwwDV0oL/Vh365GlBR7cPT4CIYnl7MnGNkY5vqJNcr60eIbcMs/h/Fkn4Lbr12D0MM1IhqFEKqNiY07RVZARqjsrgYA9P+mF42xCsehVA2ddQhOBtOWH+7txz1nxwCkGpjaLD4NpPpGso0220LLnzB4MEqSgtMvuFBbxKJIYMFcH0hrQxILo4rjKfvVP/iIdVpf6gOPGIdhkXkaxLj1ErkkyTAKgbJDPLScie88cYgaBqX1HY2KGJgcpyZy28m5MNovbZ9W4Vh2c0U20gSBHIt7NnIRPqWRTLuzZnbaqZXNGYVR6UmF3W2oY3BgROXrxe9kJlJ/HXJJNKzi9LNFTFJQ7DOfPNCPR/tPIw92PAJWyzO99mb7tmPklyQ898sh6zDabJLIzb4b7Ucd7QEz3otmbhq7ypYxxVTjzEppMsckI5hNhuUAj784AQCISSpqyg0m5vIBWmRBjo4rYyK8SSYfNjMuSrJxKXs4KrZW4LI/uxJ1l9WD41jHOS3eYi+iYTGeiJoAGY51UvWlzL5S3evEQzLNKCBmW+y8DIZnFRw5r8DDMWg7IFHbGBXyMyQdGgwKCZKhW0ZhWtr2ZII4Bg6lyJyqoz0pDzE9SdMvo32nQbseh3v70zwfYiSG3VvbDLc1Iw9av0b3DLmNVkHeDuwQDrP7dC0K/GlQZCWjuja5gpERrRk0yuR5W2FUNM+F5b5NYtRzRVRyBTIcSk/oWJaBGihJIRdGOVTZIt/hMYoCR+SSDK+ijc3Iu2B0vRTFWdie01wdO+SHPI7SEjdmFux5tu2OIW1CLMN+NPh9AvbuaoQUk3GOUrska+gm6zL9re3qWM0vCfjTPWdrig2Qw2EU+rYe3tmLERcl2dBwqRKO6l012PeBy1BaW5pcZvdcuDwuQAXEMH32qJsJpbykUx50BjGihg9DzVg32FaUFFyYUdBRy2J7FZ9MFjcjEeR6GlFIIw4OKpcbHoPWZyLp3GllcQ1mREMz2K2uoxgWcXZsLPndiaFuJxTRbn/6miJ29r3eiIkSGJYFy6bX2cgWdgxbvUFMe8nFczZs7I/y4rTcv8UMt9Gs+XqClhOjFvmTYVQkGaFdg0wJx1oZIbGYDN5h7RC7YUZ2w6KY2o5kO7NwI6fqTzQiZCUWUBFwYy4Ypa7L5L40u45WCeLkGMlzyTR0gedZdLbXYNZVjZ7zC4iI9ImyrKB54jO8D3e2l+OOvRxeekX9+qhQbQCCoYEUE6CdzwLhyB7rN4W3RrjU1avIIm52lL9mLsxC8AkQfKszHWQfmioVkBr7zDR0AdpMFaH2xCB9RlQd7UktMgRQXatLYaBo1o0yVzyMgCQZpPdBv4623qidfp8koSG3t9sX0xCXxE2qVzV0UYu6kZ9p+RxAqhrSPWfHktfg4YEB3NzenuKF0K7r6MAYSmtKU671d544lGyjb0/C6v6gVT3X1/kA0pO5aVXUzZbToLXLZ+6GLClg8yh7S/5e7MTQ6z8DgKoC0Ziz0AwrA8xsLHaNRat2mZITs/wKI6Kg1SEhf3dm22QSXkXOymeTFG8ERVEwPhMGwzLJ8KFMQPMS0BKfDYlmdYvpen2/dkKntP7M7gua14Np6EJ5nYLelfMIRUR4ddvYvc+cXicnhIn87gawt1zBhQkGR87MoqG6CE01vuwLT2rvzmzkcNsPYunEvTg9ouCPXlub3Xgc7DOfyMSD6wTZ5ixd6rioPRsFxOFE+evUY2ew9fI2w5kOvbGX5m508lDRE440zwYgcAnDgfBWkEgp2KeDUXiVEazIhdE26uPB+P8HHkl9ILUfhPrYl+LLTj+TNGD1sydGicN6g3dP9VY8PDAAAGn/gThZODs1hJ7FobTt9JXDaeFSdqqG5xJO+8t3krgkSeB5Lu/1NQDzF5bZDG1VmQeDkQBOD87HC71Z7Y+YsTNbn0vk6mVMk6kl/8jfTUqo1MoyVFVx5E3KJGZbPxOfS5w5F8TkbBjtTbmr5pzpdTGyjfWeLhr5NCKwVjPJRv0w470oLfVh5vRx5weSY9DyYvSeH0Fg0bElgN1byzAXjOLMuWB2eRyAcd6hg21jZ+/FH98TQVtrHV5/q3HYbdbIRUHCAi4KFMjGRQyrGHwaVhZCKKtL1woHDGRPd1y12oAkGnYfMBrhoLSPSoBZ+LxpLQ19G6STDxJU+dzH0xPladukJKyTeRv6cZ1+Jn0mzCTEgzSADnR2UK/jze3tAOLX+sG+PsgxBazAUomDVYiUdn3NErvNKohr6/OFfOduKIRnYy1gV+mG/Gu9/HIcqAqDqWnFif55iGKq4aIoStKYcaoclS9kYuTSiAZAJwcpeVKUgqN6QqJ9zgWSycE5nO2UJAVzwSh2by1HeYm9SQ897IzHDllSVZW63Mk+zbwdRsRaT5LJ81xR5sN8MDVvw27ollPYPY/kWGnw+wTs6ihDVJQxvWD8HrIEqTDl1FMwcAiqquLQ0Rhe/aUwIjHgi39+Jdhs5O1M9pXRGAu4aHHRh1HpoZ/hvVRgFj5DQgzHcOyBE2jcUY/WvS3J5Xuqt6bV2NBmgKmJfkQSuBZaZKhcpfdwJOAdd2NSVAzDpywTwEFPFqd6R2jb6FSv1MeDVCWs9G0J6V89+dIKAjbECwBqVQFpyeOa4XRS9SVlZM3u35uaWlGxUISW2i2mY9TfA/qQJ8DcsNf2TyMkRiQlm4KCZv3mElJMwjYhlvf9ZArtt+Nq3oHtoz0YKHLhWN8sOq44AGmkF76WLpx+6nmoiort11yB4qXz1JAZs/6dJvjqt82WwBgV2TMiHvptAYDxFwMLC2AkIsySEr5oRjicnotcErf+kUWUB9zg+cyJr1ncuT7XIJvrlml4lX69k/1UlPnRF4pBFBUIApvsR7+/XFwT0lNNC6Nxol7F8yxqKry4ML4CF89mTCQB2DPiKdXDv/frPtx9bw/+7C0H8Mobt8DF56m2RoFkFKDDJenZ2AjJqOsFK6J17euuROu+Fjz3i8PU9frK1ikgDWvdg47M7aC+fCizNaUeBssxFeenFdthTRr0yeGkuhStrVHieRoRIbwd6uPB5Hdt+2RYV/tBMDfctXqc2jLtJZ+oJk6TvdV7OrqZUIqxTSZyk/eyEpOpSkpGngq70rRaWzPkq5ifnX1nC+38y4qSjKfO1/HkUmKxvakE9VU+9A9OYxyVOHV2AgwDNNX6cbp3PM3rYRfrnQxpFf5EJoTnC/mI/beDgeFFhCMytjaZT2rYgVWuAc17QO3HIsfAThiUU5htx/MsSlq2Ym7RxFNtQXKcIlfXOp63UYSec0EsLltL+GYTKkVbPji6iFfe1IzXvrQ1f0RDjzUgHoU8io2PS5JsAJeuPK7VMde0V8MX8MJf7ocipxsrtowwwtWbTJgmkPbgJmf9iQelu1PEnmoeM2d5jC5KpjK0RsuNPBp2k83TvCCEZ4O5PpD8TiUxWmy5nmCRoWc5wp7qregs2QIXUQWWJBOaR8HMK6GXxdWH4NE8IBpMSWiWyGf4FDnettgyBFf+HonZEA0j46mhughX7G/Gnu5GXHmgBZftqEL93v0oL/VheHI5uW0m+zP7rl9mFqPvBE7yJ2jtmOAC2NCKaVG/XCJXx61hYjaEbS2B5Ix9NrCbD2EGxUYUlVNiRo7LKnfJCBXlRZjVhVKR/ecil8YsxCubMMTaSh9a64vReyForVJlEmZMBa1d4n08OCXjd48N4oruKueDzhYG0Qu5gt1rsd4TKZcyLpkwKloY0aUaTmVFOKIhEZ4iNxYSxf3OLlxAd00bvv5MH/Zt68CyKwqe58DzLDiOBQOsGtCnn0nJ3SAVqUhQCYdGUrTPA4dQ1CWi5aSAC4syGkro47XyWphto302U68yCqui9cm0RQyT5FPUu8xCOAxmbI2Iw57qrTjQ2YFR1yROnT+f0lZrTyMNeiNef29oIVvHpvps5XNoYXakmhY5BnL/TgjEWoRQdTMh3Ce70cnJKcuNCjFmghQ1qgyrWNMUemjfAwEvLpyLYqnvOHiehcCztlRwrMJvyH2YhaqYSZjmQ9VlPYpyOQlRswuvm8fisgifx/mr2SjUh7Z+rZDJtSZDu4y2K4+M4PyyCIXwRmrImvDmKemfRF2VDxFRwtGeWdRW+lAdfAy+7XfSGzvxDOjIiaqqEEUJCyfvwx//VwRvvLMLN+yvy8ERZIB1DK0qkIz1xyVBNmik4lIkGnZRVOqDGBJRXl8GRVZweeVOyFI88VSRZRyOsuiQlyDLCmRZjZOOlXm4wsvgglHwYRXc6d+C77gNHMeArH9rmLNh8p1hANRFwbTKtsKpjIiDXWSiSkW21wiH5tUhyYNe/jTNENNyW0xCRDRjXSMGmjEuhkXs69qKqrryZFvNqCdJBGnokwTDKKmcRDZGtx05XLNt8gGSHLVKyxj0lKAVqZ6aXIZUGd4LFuTDjoFPoqLMjxkPjzPngpBKG8CyDKoq/KipKoYg8BBFCe7ZQcO8AKv9WMXam8n32u0jU2RSYd0JcjVzTmIlLKF/OAgxJsPvy/y1bEby9FhvgQCzMervH/359gg8vG4es0ERVWWUSaYM5G2twslyjdaGElQEPJiYDeOoeBm6FiPZ5XFQPAc/fU7C333s5wCA193Sio+8uTvz/jcpCkRjY+CSIBsk7MzsX+rwFnuwOLUIADgxO4A91VvBC/Fzd11F/GE1j1IAcfWbLnkZkiRDUaOQ6rciOvggZAWQFiKQJAUMZsHNnAfHMeBYBjzHxj9zDHg2/pnnmLjcLuWBOVkaRpmLpRbos1sTI2U7Lc+C8FSYbZMpeVFHe4CAcciUlTFAzqqTRm83EwIII1xbd7z/HF5y3f60fpx6EnINfd2NjYiTqg/nYgL8fi7Nm5HL0DAjIplpjQcj8DyLnddfnfy+vBzB+NQSTp2dgCTJ4HkOHOvH9m21CPaexMjUCriEKo2sqNglSvAYSMHl0ijLF+FQ1DWKo8oRpufDUBTgiu6qjOswkOfSiAw59W4oimKriKTd8enHQoORjK5+XXnAjdlgBNXde9MSuZ0e53oZpCV+ASV+ARUBN3rPB7G7k8/Iq2WE23Zx+NffAF/+qxtw9Z6anPW7EZGvZ8l67ediwyVBNvTFzApeDXP4y/0480QvAKSF1WjQDNzdXATgeAgCj5PeNuxaHINaknhZVhcBAGR5CnK5B5KsQpZVSLKCmKQgEo1/lmUVsqKCHXkMHBt3/c4tq+BYQFaAmAxsDXvBdKQb/bbrYVBkbGmkg7qtQyKS9G4gVVmKnEU33Z82y10SN3q17fSz7Id7+5MFFruZEE5U12CPR0RRop1GMPRhV4B17RWSoJBhVGageQA2C9EA4gniXLYFtyyQy6Rmu54FpqELRcHz2NrWBWA1XnvkxcM4eiIGjivD1iYWbMIlMDiyiKUVY7KRK2zmF3auDY7KUjemZsNZF3zTG9o01SkaEdHWpa2fngFaKrMeUyageWnIvipLPTjRNwt5+HTKeVuPcLFsUVHqweKKiHOjS9jZTpeeN4VBPsS5GQWiDHQ2l2Y3wE0C2n2fr/1s5ufXeuCSSRAnE8IvZc+GnWNv29eChYkFnHvxfHLZO7bVU5OCtXobmsGmBkqBV/x9Sjvu/O8guDgUtXejuMiF8u17ULVzL2p370NDdRG21PnRevllaLjsIKr23A51y00o8TKoKmFRW8pifwsLnk33bGhIUYJKQFOKIhWjUrYhk7st6mmYgZTWTVOkwmoyIRNcWC3qR4RWkcmGWjuNoOxaHEvbHznbTl4PRVHQKIXg9Qop7fRVxsnrb0UC9HkfVkSJpqxltY+NRPzlmAzelUUISwYF4jIlH5nIsupfvI37DuCK2igurwmjvMSDsq7dKOvajfoqH/ouBDE+vXot1bpOTHB1CEWklNnzTKRyM1UJWgmJCEWsFXxYljVNbM7GALETHpYJREkBy+Wu3oH+HNMS2W1JuFZtSZLQTMfhZLmd7bR1RV4ePM9iqaQl4/GZ7XetjcmGKj+Cy6J10jgNZOhx+0HEJAU/ez6G935HwV/+0T5UlLqzH6CWC7IJivRlk8DvZB8F2MclQzZI2K05cTHBybEKXgEvffdNuO+bD0GKrT74SEOSJBgkDOPbBw5Rf5xJpSYmHl6lqgBUYMsVd6ImwKImQE9sTSMXJkpVNOhJSDaEgwrKA1lfVMzqYaUGSrFrcSzNo6H1kaxzElxAOCzCLXC2pFu1e8FOcb4DnR3JBPR8QE9+9H9OkG24kyIrYBM5DNn0ZbdytZP2gH1D12od+ccnEsdJw6q20ofdW8swOLoIUVQQrejAiw8/hdHxIHqWSyAPnzacPe4dCuJ472xSdleSlKTxZOflLEkKxieCOHZyBKd7J5LLZ+eWcfTEMI4ejy+3QzqMsNFmJEVRwdDYCqrKvBltb0Xi9NfcaFtav1bRaDQJXTuwo3amLTfzVJQVuzE7t2KpamX3mueLTNqBILCoLPWkkHxHSBCOb/28B/v/NoRvPsrjn//0Mrzp4Mb2LG9WbLTnyEbHJRFGtZFmT9cTTgjH9uu24dHvPYHpoVnUddSkGa964kFbnoaESpORC1KSFUzOhVE2+xi4UGKWr/0g1AceSbahydSmhTERxIG5PpB7IuEUA4eggognRvoLnnxhpyxPhFR1G0R6aUbri2EeU24/fETIFVkpRZ+rpH3Xh0vR7hHS6Hda38BMoUqP7zwRJ2iZkptsE7mb5BXwfGaPRKdqSOQ5tC31aqDqZBdmcfz65X6fAMHFoX8kiMWeJ1FT4UVz5TJOBkvwwpQP7YtH4RZYTD7zHOaXoujuKMP0fATBZRHFRS6cGpxHXaUXI1MrCEdkXNldDUFg045hcTGCiakgllaiKC5yY2ZuBf4iN6orizE2GcRTzw2CS1R172irQkWZH0PDszh6fAT1tQG0bKlIO06WAVSH2rdGOQJrgVOD8yjy8miqcX7/0p4hZiEkNJUnmvjA6ufUMdG2zYb42pEONgtZqSrz4Ox8CG2CcaHCzTQDXV/lxcn+eTRU+a3ljxMTWgvVN2N+UQQ/8iie6pPxjd+cwI8+dyt2tJXmZlA0T4aB4uKlhEIolTNcEmTDCEYejouNnGTiwWEYBt4SL06PDmCqZBHHpvrwruviDxc90SDj8k+qvnjeBtkZqbFtJAs72gOOZeCffBTzUUBtuQUlRS4wAJhbXxI32AnvBVXmllLhey2JBpmrkQIipIq6XaB0NZH89DOr7RLLSIUqzTDV53+0zYyg0iOgy4Ds0cKnzAz6A7oE9JSx2oQ+wVojA0YeFb1i1lrnegxIAnbwq56hTLwbmYRF0a5vPmEVC69he2sAMwtR1FcVobRYANPQhT1NcS/DmafPg2EYVJd5EI7ICC6LOD+6jJ0dpSj1C5jg6zHVcwoVATdWBAlnzs+jua4YgYRUaSQi4UzfBERRQlWlHy1N5QiFY9jaVoSqSj8AoK42gEhEgiRJ8PmEpNeuvbUKtTUB9PRNIBKR0NZSASFH+SVrbTwoioJwVEJ9tTejfI1ME8DNrn3K7P7MEBj/AlCym7o+01C6XBlqJX4B6rKKlUAL/Lp95EOaON/w+wSUBzwYHFtEV0upZfsP3xPG/Sd+BQAo9rlQ6pHw9Y/fmF+iUUASBcJhHxc92TALmSooU5nD7RMgheMhEHuqtyYNQL0hpjcKTQ0uk9kQZvB3qNh7J4pjMmaO/Q7LW25CRcADjzteqM5KFUojGqQ3Y608G2njIooaJtsYeC1I9aOU2UUiuVxviHYzoZT10dko9FG5dsmEk3XZglYjJJvfoR2PiR1IkoQtagT73CJOqrwjopEJQSA9RCTRcEo4Mk2EtDPr6/cJ8PuEtOUV5X5cvqMaLBtXvVpciWF0MoSKUndSurNemUB9Z9zroCgKRqdD6LsQBBcdQZHXjdn5ZdTVBtDSVJ40stN9FIDHw4P2miryCdizsxG9g1N44egFVFUWo742gCKfEFe1c4hc1GbIxqDlcyRMkK36VFp/xKyRWd9Gzzna/ZlLA41p6EJZeDLuEfN7Uva1WY3AlrpinByYw/OnprG9NZD+Gxw4hKWQguJdd+LAZb2YiA7j3MgSvvQXV+G6fbVrN9CCdwNAgXDYxUWds2HloSgQDXNIfhXTJ6egqmryXNKSgPUwM/zszIQJLg71ZSwC049iai6M6fkIJDn+1tNX/jbcDyX5W0sKJ0kJ+Z3WL5kbQks2NxxDos6GHrQXP5l7QYsZ1hufWiK5OtqTNFjDEQkeb+pLqZsJURP7SViFUDkxurXrbnb9tbE8PDCQ3G8msHMfOkGXvAwuwwTdZLK/A6+Gvq2dYo9msIpZT+7XIHHSacK5ILDJGh2dzSXwuDk01xVT+2JZFk01fly+swqlJV4sLIZwYE8z2pors1Jf4nkWOzprsX/3FqiKghOnR/HMC+cw0XMG4WjM0fFkO/Od6fYsy8LFswhFM0gK1sHO88ZuroS+P1o7s/wGsxwMO8usQL5HKsqLMDu/knFfGw2CwGL/9ko0Vhfh9MBCesJ4+0Fc/okQPvH1wxiZWsGn3r8fr3lpCx54ZjS3A7Hj1dhESeMFrC8uas+GmTdDb+QUiEc6/vADL8c9H/sBzj84iNZb2xOG4upMMinHaln8jBJKlDbrpZsl8XsYeJcfw/xzbozEBJTdfgOKn3oCbLvzuhdphMLiuwbLmh2EGlXaOi12WDdbrS3XeyrUQCkYdNEJB1GFPWW28vQzYBq6cCbCoU4IgFYbVl+XAzAOUzIKnzIDed21e4GW20HeIze3tyeXG/32zEKpzMKcMvF2HI8JcPFcyvabDVaEwU5svZEsqhn8PgE72tI9IDS0t1ahvbXK8T7M4PHw6OyI1xBYCYkYLS3C0IU5iKKMSFSCFJPBMgwCAS+aGsooeQnZnbtssb01gON982io8jkiX1YE086Yzdqpoz1QFRWMhRqVUX6E2Yyv3XwNo7Ar8rqVlfpwtn8KKyExJcMkk5ymjURWtCrjZwaD2NNZlnJvNFT78OMHBgEAh8/MICrKeM1LW3Ij+UoSBzIEWvtu1PYS9nQUvBvWuKg9GyRICdCCx8MefAEfXv+J1+D8oUFMvDieTODVoC9+5hR2ZhQ5lkFlt4g6P4uV+x/D2JKCsKiaejU0GHkuqG11ylb5QEoiJiF/a2c220xRRh3tQeP8OASPQFUJI2V3Ndgp9OfEWNf6MiIaeuiT1bOB0Tid3JedciiZiJwJnHg1SIncbHI0Mnm52ZEUzbRvOzAiGLky8op8Ajo7qrF9Wx2Wl6Mo8gqoqS5GZYUfo+MLWFyMWHoAnMz+5wICz0NVTbR6dTBTndK3o33Wb5NUBMzimuuJg1V/TvdlpJYFxL1DtZjByNEXHfWpx0YiGhpaG0rAscCFiZWU5f/wwcsAAG+7swOcx4f9Bzrwrg++EkAOjoMkDEYeCyNvxiXq4SgQDWtcMmRDqzFQIBLOUNFYjts/eAvO/yJuTJLGrGZg6g2mpJFHk3/N8EcpcAzqijmUdomYWVIxGVQg9rnTJHCdgtw+275SQDywaQYlmW9BQg2U2jpH5MtckhTEYgr2e1flQEkDXNsHjXDoPQckAXFirB/o7LBNNHKdE6J52DIlvd1MCLIsg3dxOR2XHtmSi5S+MjDWjAw2uwQEyK1Blk+jvrzUh907G9DcVI6aqhLU1pTA7XZBUhTqLLw2q22Uy5JPYyIiShBcnG2vhtF5MvIUOPHaUO+R+k5b48oluXCyL3W0B9XlPswFI1BsqJBlS6zWGu1NAYyrFUk5aaahC9fsrcG//Nnl+P69/fi3f34t/uGPOsCMn83+N2REIrT3GW29mbfjEsFGJKobDRd1GBUNF5vSlBWyJVfP//oIjt53HFXN9CqyJ1UfdmHBdn+Z/ig1EuAHA58AzJ9xY0xUEFhREZjwwElOaDIHI6FuZUUwrCqNp21PSQ437Z8wzk+qPqDEh24tYdjG+YrGFAjBUbDsAXTDOoSIJBQa4dA8f9r9kutQIrOwJ7N71GkoVabjjsXkrDwbZlgLhSkSdl36TpSBnPxurdo6kUrNpVHIsQxkSaGGy9jJSchFmA2tD5+HR0xSMLcYSSbYW8HqmlkREn0omVF/iqoC472AJ91UMCOp2Y7fKYq8PHweHsOTITTX+dPWbyZyoYe/oxveEyNYjiyiXPAkz11gC4uqshMojwyDae3ODdEAUokFuc6MVFyi4VMkCqFU5rhkPBt6WBnhBQ9IHFODU5i5MIsb33odgHgtBK3QnAZTBR2nsxw22rMsg3Ivizo/i+iAgNElBSsx69CqbD0X1ErktP50x2A0c0jK2GrQzus9Z8fw3Ql7hnMkKsHt5lJCc2hGt7YfmvGu3e9mXgc7YVV64kTb5nBvfwrpN5sAWCv5W1lW4MqzZyNf0IfYWb3wnMZ15/Mlupa5EizDQFFXZ4edIhdjofXB8yxa64sxoguVyQR2vQvrYRTl2kum376tsRijUyvJhGqaMIJRKOpGhjrag+KVMYxMrECS4vfvf/zbz/HRj/8Ef/72XXALfEo4XMYwIgztB83JhFk41SXk5SgQDXNccmSDDKWyCqsqEA6gtqMGO2/cjorGctN2aeo6N9wV/6BPMNMhuCyi78nfrC6waJ/svy0C99YoanfHULFdxEJlGOPHXYhtCVtuS/bhhHyQng072xq91KxedKSKlFmstdZPRJThFpwZyvoQqmyMejNio/+8UZFPz8ZGQyZeis1knBmB5VkoCVU7u8dj14CwS/CMoKhqUt3L6f6MwsKcgva8UlQgR6q8VIM40/uKdszFW3ejptyLwZGlrPreiGht8IPnWTx7cgrHe2fxv78bwL98+Aq86qaWtLY5IxxOvBVGoVUFj0cBCVxyYVRWMKvLsRmRbS2RmeE5lDeUJY1Rchb6HdvqoVenSjEsbRTzO3x6Bh/6fBifVy7g5fWnMno4+dwMPCMeBHkVYycE+F0KSj0MODY1tkpfeZwGWnK4aa0OO+Rox1U4Qag0pXk3StITugGkVQ03UmOJitPwVrCpCi9ETog+3MhIOczqPiFVnowqyJtB2+6wdVNbyEWol9aHLCublmyYEVKrNrR1a2WkaSE8tNAi0vuSq9AqnmUQG+sDai/LaJxG66zamR2nhkhUho8SqmQFs3CwTBWprK4H+d0JrO5Tq/Ha8YI11/lx5MyMo5C0zQCWZbGjrQyiqGB+OQKeY02lujMK+TPL1aChQCRSUAijMsfmfLvmEXqDa7OTjmzHX9tejfPHLuA7TxxKIRpkMTogHhpDjcu3mOG48UBcrPUvvvgsvnpfNGO3K9seRamHRf2xJSgARpcULEYVoDXV02HmjbBDRtJgptaB1Rekdn7sgPQSaQnjZmoskagEj9u1ug3lJaPfNy3Xwcy7oZfp1W9rKX1sMI71BHkcsZi86cOoaDCbSc7ri9HG71g/FvLP6JiyCX9iZ4Ygy2rezgFtvHJNJyIRCSuBFsz3HMf0fAQTMyEMTy7j/NgS+i8EcXpwHoOji1AU+4pUNJDXmpYsbtfLql/Ggk0hBLnKXaHt1yoPxSoEiudZNNX6MTSWfUjaRoQgsHj0hQnMLUZx/b6alHU5IeW0vIxM3smXUPgUic0WoreWKJANG9jshCMb7LihC8GpICaPTiSXnSiphxoopVYR13IGUn5wJrP/HMfgk+/fD4EH/v2BGO76fgQDk0rGsyauG0pR5WNRfXQJy6KKsXkVkcY44TBK5DZCSnG/6wP2CQiRYKeOxgvwvWNbvWVdiEwhxmQIbj7NwCBJC03m1sl4nEi7WuHYVF+yqB+Q2e8r1wnsm9mzocHJS85qtj5rI9zB79euKpVtwQVKbL462gOOYyDLqnVIk6JAkhRERAkrIRGLixHMLUaSRGGMrcXQ+DLOSZXoG5xGT+8kTvWM4/h8fFb9+VPTeOb4JJ644MLTz5/DkeMXcLp3EoMjixifXsFsMIpwRIYsq3C5OJQVu1Fb6cVcMJpUHLJzjEYwMuTtIM3LRUjymoXU5dLAShu/w8JxNRUexGIyFpdF68abCAPDi3jDXz2Er/7wFL758evgFqw9YXrPm+m9bzYxaJc8XKIkowBrFMKokFvN/4sNLrcLt773JXjw7t+jcnslOHf8lklLCC/x4XBvPw4jEV4VuCq+/PQz8f/tBw0NnIqAGxV+BuMLKkRJxZu+FsKXiyZxzR6TECWCwKiDHqiPB8Fcv+qZ8NxYinoAKz4GM0sqhBUZ5bIKF8ekkgYDIkSttdF+EAwcupoBqI99abUdzUORkIs9qfqwa3HMtK+UfhMzgdFoDB6LEAwjr0Wu1Jys+tW8XvectX98ZjBTt8oEkiTlxLOxHspTZt9p64zCpshwn40IfSiSUaK70XNGrmjB2EQQYu8E5PE5yIoKpedJyIoCRVahqGp8WcLe5zgG/NlnwHIMOJYFX9sCzs2CW4qCi8ngJgch1HWAC14AX78V/Mwg+Mv3g+dYsDwLged1eRjNhtenpsKDo2fnsBQSUSHYC/9xSi6NtjX6DABMZROAaEofdsKh7I7JjFgm1zmceGJZFj4vj1BEQonfXrHJjQAr4Yae8ws41juHH332ZuzprKC2Mfot2wn3S4G+1obda1DI1SjAAAWyQUCvkHMpezRIbL2yA0fvP4FzDw6i485OfOeJQ3jXdQfxnScO4Uu798RnvVUth2MVJ1UfdhEPNqPY3KWVGGpLGfzlywXctIPHC4My7vr80/iPv7see43uUB1BID0PJFHwe+JSuQsTDMbmVZR4gYA3rmjlBIZeDTMFDwpOlNQnczc0pIVNEeuMjFftHGo1NjwGs1wbJWxJIwbv2FaPeyzaasTocG+/qfRtLsajQZZUcNzmC6OyMhxo5MHK0NQn8m6ksACrsZiFG/IvPA+3UIXygA+IesCzLBgW4FkWHMeCYeKfeR7UmhdMQwPxrSYxlikw+w4kFu01HK/VdVKUuNCDN4O8DaewOyYAkKeGwR24AZjstU1E7YSp5ZvUVpV7cG5kCX4fD79v8xAOM1y+swr1VT6c6JszJBs0xTGj34Tt33WBODjGRp60WS9s7riBPIBUqtrsyNUxMAyDq197BS78/jwUOT7tp1UTP1ESJxi0WWajmWfyITc1F8bnv/sCPnybgIN7XfAKDK7v4vGpV7H4wGeewNlx2dlgKQ9GlmVQvlNEfRmDmKxiZE7FUu0tmcejOoUmHbgj7u1xUvGarDSuB9PQhbDbB3d5qe2CYGbeACtPQa5yMg50dljemyTJsKp0bga73g9JkuFyZfc41BNDs2uXKzg1vu28ANfzJZlJuI9ZeAi53N3YieISD2prSlBT7kNFqQflJR6U+IVknQZBYC1/S2Yz+EbjtzLAozEFLAMIDhSpzPqj7d/IC2ZG0OKeDfNznK2ilFVeSSb3Y8AvgGUYSA5fH+sNo3MZk2S88a8fRueWAF5JUaACnJ+nnIRLFlCATRTIBoGLhWjkY/yN2xtQXOLH9ImplOVvvedrKfUijGorGOGXvx/CtZ08rt6aOqN3cK8LH72NwXv+M4KhmdU45mhMxdcfEDE8u7osxaNhoqjh4hhUl7CoDjBYPH0/RucUhEU1rR8aUvpuPwjmhrtW5X0NkPYwP/1M0vg1M0L1RupJ1Zckddo6bb04PQN3jC73q9XbyLbCtgZy+2zChbR+SOlpI+9FLrwado5dyjJnw6hKfL7DqqwMBlrugradVV9rmeyoH5cd5SGjhGHSM0OuYzkGiqRkfUxkArteNStTw7nIGw+5GpmiJzZbXS87pNPuDLf+GphxL6v9Gl0jUgzAql/yeto1jgdHllAecKO0ePN4NczOpSyrWFwW8aa33oiSzl3J5bkgDAXCkR8UksVTUSAbFylyTTgYhsGum3ciemo5ZfldV9+eNHz1Rq2VocU0dOGpY5O4aQc9fOX1V7nwrptceNNXw7j/hIRgSMUXfivi3hdj+MMvh/DDp2MpCYyAQa6FDp6uO9BQziKQyOeYDCoQJdW0mnhyOeE5MVLTIdenGFEJz4Y+jAow9who51RPUNRAabygn+BKW54cl8E1yFd4lR1Cc1L1pZEIvffCqgZIpsSJRjwURYEsqxBsJFwaId8eDDtwYpBZJfk6jb/PBWikyAx69SpyOe0zy7DxitgZwIhE6A0KI6OaBO3cRkQJUVFGZanbdAxG19hJ8rzZd22ZOtoDRbGXrE6FicfYyggz8w7ZDU+ZX4yisbbIepybBDFJRVWZBy+8eIG6vkA4Ni42I+EwEtnIBgWysYmw3h6XolIfoivRlGXHpvrSZnA1Q1YNlJreoOFIDEd6ZnDNVmMj7503Cvjsn1+HL9wbxTWfWsGhkxz+4x8O4tvv8+L7j4v46x9GIRtIRiYJgsGLz+9h0FDGQODjyelzYQVSP/1lb0ZiMnlQa8apEyOVRhDCLi/cVasFF+32a2WsWxFFWtV4u0RDA1lYUF9kUMvXyCWMxidJCliWHqe/WZCp8anfJo0gb2A4HSvHs2mTE072ZQU7ngYjYsKzLAQXh3CUbuDb8SA4hREp0383+l2YGv66cFazkDMrrwf5306ugaboZZTHthnx04fO4dzYMtjQnOPfZyahiQXkFhvBy2F3/2YTUdkcw+Z9u64j9FXI9cvyBTtJ6/kcw+zoPErrStP2oYX4AKvGpOnMecL4f+HFC2ivAsr9Jsna7Qdx/b5a3Pet1+LUT1+Hx7/zCjRWF2HXTS/Hj770SvRNKPjWIzHqpna8HCzLoKwoTjqUpghGlxQEI0rSKHFSYVxD2szjjquoxj9psNsx1MmiehoikRg8Hhe1fbY5A2aEQ1unEc2Tqi9jpSm9F4Os+WFEOHLpmYnFJLj47JPDN4J3Q4Ndg8QsXn8zkQ7AepwsEw+Xy9fx0F7IRiFEevA8i9pKL2aDkWQbMzKg3yfNe0KOx264GXnt5WHr0CzaWM1g17Oi34fVvsm/UFSC133xEA0AeOmV8Xcsx6y+K1OuMe39ksHvd6P/1jc71oN00J5HRs+EfOLi+kXmGUYF/8jle6q3plQhz0RKl0YYNKKxntK8S7NLqG2vTlv+nScO4YvX3xjPEUhUvdZyN7pN+nvquUFcszVzI8/vc+GvPnA9PvVvj+H9rTY20GRuKZ4OnmNQVcIg2i1ibkXF0nk3yreLKAKTRjjsxpVrbczmUvW5GUakQ5PH1SMaicHjEaAGfHnJDzDar96z0c2E0K1TI7MLWkHAbiYEdHbk3LtBgywrYHOcr7FRYDeZmbynzcKC1htmOQaW2070Q5kKQh3NLATPzrnIZBZZ26bYJ2B8KoRYVQcEg7Zm/TgdjxWZYRq6gLFzpv3r21tdGyvPhNl9aue5q472IByR4N3SAWDB5sg3PuaCUZQWC3jHKzpTlifP5yiSsupGv98Ckdg4yPd1sUPqrbahgZyMcDrugmfDJjLxGJCkg/wz24fR+vX0aGgorQngzONnIcfktP3ZNrgIze4nnzyDazqzm1EOhSVU+NMJQaZwuxjUlbIo3y5iflnF+IKCaMxZ6AUZW6zVz7CDTPIQIkSNjWxn1o2S+9fLmNbOR74JR7x6uLNHIe2cbCTPht38jVzF464VrIxZoxl8dbQHHMciwygq27P32STslhYLqCr34MjxYSwEQ7Ze6FaGe6ZjYRq6oCgKmLnh1X3ZuL/N8kqM2hi1z2TmlWnoQkSU4Fmg5zZsRhw+PY2//doLeOkV9QjoEt6d5Fk5IcIFYpJ/5ItkOCENTrYh22cy9oJnIw9wSgw0UuIkTIrmPck34bjmdVfiwskRPHD3I7j9g7ekrDtRUo9di2PJmXBNGveL19+YLOyXnOVPEI5QWEKx1yCEyqa2d32VD33THD776yj+5GUqitxMMnyKJCDqoGe1IJ9JRXMNRTvugE9VsbgSw+SSCM/EoygrYkAPWEqFRjK+e3YMB0rqU8KfyOR52sub5t04qfpSPEaHe/uBzg50yYvA8hI8ntworpD7pY1NP2Za3kbKmCnHYdTWCAcy8G5oY7Jr/EuS4rjGhv48kPvdLHDixbATK78eMJv1TiMmTNyL5QRkHovdnAGnIPtsbSiBfz6Inj7g8hoFVnelmUFPjlkP2x6PhPQt4Pz+1hslZrO5tPHYCQGk9cnzLMKRTaZ5a4KjvbPoH17Ea17aYqt9pvdn2vN8x1WrRXkLyDn0Ez20+zlfz9yM7xHiN62O9gDFzba3LXg2NgDseD2MttOwFuFVLMfiVX95JwYPn8Ox+0+kjIOsfK0Zjw8PDOCes2P0F97AIezrqsBz/dm9FLa1lOJXX74Nw5Eq3PDpFfzV/0bwtLQMpWVVDtaoGrgpBg6BYRgE/AIaqovAt92CsXkVc8EoFIOEdBJMcCGZf0CDEwOVpl4FAJGIBFdpqeX2ejjJd9AXH7Qr52qXaOjb085XJoTDCRRFAZ9lzoZRkUa7yKdXJJswHA0bhWhYzdqaGbQsC9j46RrCauY4m3NJblsRECDLCmJVnWntjLantcl25lRRAIZxVvyUBC2EKptzR4s3Zxq60iaOirw8gstidmpaGwjvflUX/t979+FnD53P637ISZqN5KW9VEDLm9pIIMeVfN6O99revkA2NinWS5nKV+LDa/7mD3D/fz6MXRXtyeXkw0kzGG9ub8exqb50N12iyN3Ba5vwmxcluuHvoNheTYUXX/vra/HLr9yBlm3b8Onf8HjF50N4YTBOZBxX/9aNgeMYlAfcqD9wEJKsYGRsHgtnj6fL7urUt0jD2ShxXv9Qp8kG6417jcREJmfgNkgON0M29Tb0L6LxiSCOnRxBf984hoZmMDGxgNnZJSwvRyCKUk7GpRENPeEwIzBOXpaiKIPnnBtVGvGyCqmyFX6yjl4RmlG4UWEWRmWVEM2zLGTZeUikth8rI8Bu0qXRjKXW/5BSDX+ROxkeadTOah/ZrNfAspmTDSf7zpQcqaM9yee4du4rtu8Fz7GYnM1NaO16QlVVvPIj9+PbvziLV99sPYuciYFq9qzayM+CixUbjWSQyOZ+KJCNAhyjprUakihBTpRnPTbVlyJ3ywQXkp6ad11nbNBft68WwwssxqYpRqbNMCoSjTVF+ODrduDQ127HO28UcNf3I/j0gzWO+zGCi2dRXe5FTVUJQhEJIy8ewbJOCjhXD2ejF4BWJ4IJLiTyNVy2CimeVH14bonB80ssotEYpMS1MzJyNSPaylAWYzIWl6JwCS7ExBhmZ5cxMjKLM6dH8fzzA3j88bP40bPD6DnSj/6TQzjfM4KRgXFMDk9jdmIei3PLCC2HEIkYz0TqJXFzDUWWHRX0s6wfk0Exv/WeSTQLP9rIcJJoqSm45nPG2+4MvdH5nuTrMTW9hG0dtXkZnxMoyN95MktithP2ZZUkvqW2CKPT9AKJGxn6449EZZwdCuItd7TjrXdkX+DUKYyeS3Zzwgq4+JDpNS/kbGxyrIc6VTQUBcuzSQWfd113MG1GXgt9Odzbn1Sk0r8wXDyLqqoA5hajSOoYZUAy9GAYBq978x/g2ltDuO1Dv8Xf3ewD2xZZzeVAutfErKCfHsJMP+r37MfKwEnM9Z7EYl0HSrfUwUtpq5EATXGpmwnhnrNjeIeJcpPeyNcbrtr3SFSC4OMhwtpbsUNdxtDMLHw+AdNBOUk2eI6Fa/ICOI4Fz2t/XPw7x8JqXrOmqgSj4wtoaCgFz6c/TiRJwosRAVJMQiwqQZJkxEQJkbAIeTGMmBhfJkkrkGUVHMdAEHi4XCx4nsfvRmbBuliwHId9ne3gXByWF0PgeR68wIKWROPUcI9JCrxeZ3kvdsiEk7AzWp4JuWwtPB8b1X2vh5FnwGrcWr0IRTGvip0N7J47I7WYyXk/WpsrDL0aFwvsKGHZVVKjbVNWIqDnvAxRVCAIG39O1Yh8etwcygNuXLWrGu481A2xelYywQWqmmJSAIX4X8Clg0yu+cX9RLvEYCfBPBeYGZlDWV0puEScuyZ9q0ENlKIbq9KlTEMX1Me+RCUSJcUeLC6LgB85IRoaxqZDeOvfPoL6qqKkYcEkCActgZwKi/H4PDy8bg4rfjdmz43CVVGOkhIfhNAyeJ6NG4glvpR8hNXq2fZCmfRGKGl0RlweVHpcaNGFa9GIhyQp4HkWNTWBZLvtyjJkWYE0GycfsqwgHIlBkqLxmHGvH/zYINjSUvA8B35lCVx5OVwrS+B4FmxZGVxV5RBcYzh7dgI7dzamjZfneVzuV3BS9ZseZzcTgqIoEEUJoighFpMRi8nYV1yGHz3zCDoDTQjOLkGSJMgxJT7emIQlRkwQEw4uFwuO4xKf44SJ/K995jgWgsAnjU9JUuByZV9nQw+NNNLyXuxsR35fS2xU4yEXs6gcx0BSFPBZOvXzcY5EUUFoeABFLVfmpL9s8zYEnkcspkBRlHUpeKknJFbnm1zPsiwYhkl4ZzY+2TA6NoZhIPAsRiZXsLO9nNom430S7xSj55KdxP2N+KwoYOOhQDY2OdZSjUpDcDKI0prStOVpM7klCcOaSB5PIqFIVcRJWArF4mQjh7gwvoyx6RB+dpcXSGi66BPFye9U4kHI9BqBYRgU+z0o8rmxAB5zc8uQJAXM0gJ4nkV1lMU8z4J3cXC5eHTxS+jhiqneDRpRMJsdF6NSihIVmReizxdpk+bB82xKu6ThXVdNf9GoKqSSAGRJhiTHILs4SPPzWJGVOEkRWUiSAn9dFWZnl/HcQ0dx2b4taSFJdhPSWZaFxyOkHNOM6oN/qBhV1VVo69yS0r6bCUGSJIiiAkmKExRJUiDPzyMWipOnJU9RfKySBFlS414UWYEsq2DZ+DmQZQU1NSW2xpgJyBe5GXGw266AzL0wLBP3bDgFabgbqSBlY3RJkoKzoQAqtlbA76cIWmQAp0RDT054noUgcAhHJBT5cqN4t5bI9FqvBZyQ1fnFKP7sX59Bz8+brBs7GUOCZBgRDTtejQIuHeifD0xDF3D2mO3tC2RjE0PzZKx1srgsKeATM8Ea2aEZzymGs0ESeDjqhs/D59SrAcTdzx1NJdjRoNiqJG5IPAYIuVyjbUd7wDZ0oRwxlDXEZ5/kWRaSJEP0uiDFZITDMbwQBNrkFfjVOby0yIPJySBcrvhMPM+z6OQlqC4OsBkGFInGMOguwX6kJmIbeza4tPWmVcIZBi6eo1bX1mbFVFWFLCtoaanE9MAIZmaXUVOdarjTivbZRTcToub9JMPS+BDi0VurxhDjSU/c10NRFEhS/E9RFPgcGFN2lcScyuOuB8FIkzIEUoxqsp0ea2Vw6OVnjcZjZ1wsw2Rca8PIU5DtOZAkBSf65+FpKkdHW1VWfWUKfViMBo+bRygk5oRsWKl5WcHpjHpG19rGBFMuYPeeWViKQozFGZMWZprtfpO/IYPnU1JowaKfAi49ZHPdC2RjE2O9FKkAYGluGZIogU/EkR6b6gNTm2pQpoTUjFI6aT+IueAhlJe4cz6+kwPzaCtdAeBNkgcz0mHaRqvLQbyEqDObxAwRV1EODgB5ZFOqD82MNx6iFIuHLsViMqLRGJaX5cQMvJKSO8HzHIRQlPge9xqIogRVVbHfa000upkQ5iQZPCUJOtMaEdqsGLsYBBOIh1k11pdidDyI5ZUoigL2+7LKN6GRFb26l75GCE3Ni3y5ckuLyeuTaXK201yKjeatoCXd2q27YWf9esFsXCXFAgaGg9jRVpb8LdkBjfDkCkPjyxBcLHZ0rm9SOKnmpR2j1+NCJBrLSf+ZeFoy2S65v+pmqGowo203CmQZAANABWKSDI7L3mSj3cPJZ6TD33TBw3HpIVNPboFsFOAYnVe2o+fJs/jun/8PXv+JVwOIJ4mrNmfMASQNeB8TwnI4Ny8zEg8+M4o/3JV6ezNEkrgRDMOpkNmDVTPKSWNZC1/SsptJg3l1xj1ORGRZwUpYTCRRK1AmBuBq2ApJluGKhrGwEEIvV4TdLhESK+ME78UuNpw2DklS4PU6l8m1QkpuAcOgtMSLxaUIinTtsvFubGRkkry9nvkYQKoRl0mi9VqCNpudjbHfuaUEZ84FcWpwHrs6yjLKRcjl+QlFJEzOhbF/e0XO+rSCkRFPMyK8XgHhsJiz/VpdO6P70c6zV++Z8SyMYjkkwe/EK+PUq5FDT8j5sSWIMQVFXh5FXhd8bh5FPg7VZR5MzkUgxhR4cjQvp472pEwAZlF+poACbIFR9cUCKFhcXEQgEMDXX/gyvH6a5k4BlxpURcWhrz8AjudQ+5ot2FO9FX9Um15DQp98pn9h/M1Xn8e25gD+6A/oBawyxc3vuxffeJuKbfWUECAK4bCrRJWGxIuGGl5BGJVGidtmoBmisqxAGj4DsbIDobAIrqw0SU5OxwR0qOFUzwgXzxcJBsOoqPAbqi5lYvTSPAKqqmL0zHmUlxXBV1edtt6IcFidGzOiQtt2raVnrZLAN2uVcRLrEUqVD4UsRVFwenABXjeP9qbc5uo4PR/j0yEs+OpNvRpOZF/N4ISoafuccTdifDKI3TsbMt4n4GzMmV5r/T6GhucQDsewrWg+o/5sIweEY2h8GdPzYVSVeRGOSgiFJYSjEhiGwcPPjeG+p0fwwDcOwuNe3/lhq6KaBVzc0IfWLi5HUXrl5xEMBlFSYv4s3fgyDQVsSDAsg9a9zZgfX0hbRzOsksYcWaxv4BDCEQluIfdKQI01RRiZsz9fQ6pUZQKr8BPNICaNZqfx++poD9iJXgguDsV+N6o7mlDJy6ipCWC+vhF1zdVobq5ATU0AgYAPnkTBv0gklkj2NCgSZqOeRtpYjPTXGQYVrQ2YnVtGbGbWUZ+As+rmZts4rYKbLQnQ70vb/2aoxmunEJ3ZtvlEPvpnWRYdW0owORdGKOKs8KQV7Kj3kFgKxVCUmACwykPRV/DNJuTFbFuNlDANXfD5BIQj1p5n2njWmmjot60o8yG4FM5tXRVasdkceDbmglG01hejuc6PrpZS7N9eiWv31uKaPTX4q3fuRnmJGz/NcwVxp8j0Pizg0kSBbBSQMZbnV+AvjwfMHOjsMDSsUgw5Mu+h7Xa8cHoal+/MfVJkW0MxTo/KacutCEVGpIN4Adl5mZMwUgExbJ8wApIJ2okQLa3YHcvGSYXP50ZxsRdl5X5UVZWgtrbUsHAd1UORhaHs9QooK/VhfCKIxeHxlHVGHgx9PRI9gcim6rkR0qrl5oBwmJ2vjezVsCqStp4GRT7yJDwCj5IiF5ZCuQkRMoPZuVtYjKIs4DN9bmTjyTBabrdPr4eHKMZDOK32s5YF3uwki/v9HniXxnBudCl3O9beXzTSkQVcPIOYwTl28RzedmcHfvnoUE736RRmXrtCcb9LD0xDF5g6+xEpBbJRQMZYmVuBvyxONg739ieNxJOqL81YpRla5575LeRYFO2NxTkf2x/c2IyfHuERk/MUjdp+0HRGK6noQ8jWMsGFtERmAGnGtZnBmnyxBxdStjnQ2eEoL4Imp2snl8AuAfE31KK2cwuWV6KYHRxJWWdGOMjx33OWIpmcQ2Ti0ckGG9XDsVkMhVyPk+dZKOnzEWuG4cllsByD4qXzGfdhNrtsVCzPLDRNT3pYloXbzSMSMSZltErS2YZCkRWq9epo+v+SpGA5JGJ6PoLh0Xn0DU7j5OkxPPfA45hbjODUwAJWwhYerIFD6X9m7Yy2zRBlJW7MBqOG62+7pgl9Q0EMTy5nvI9sQSPEycmvPEwIFLDxkI03q0A2CsgYC1NBBIV4MvKxqb7k7LoZyAfSC4MyLutuAMNkJ+dHw76uCpQH3HjopHNrwjR/g0YwDEiHXgXJbCbdzrkDUpWvAHoIUaaJ2E4qXRuB3Lcg8KjZugVRUcL8eZocmTG085FtUrmtCrk6UpxvD8RGJR1G2AhGhBOD2i7cLhbBFTHrfvSw29fo5Aq6WlJl26zkhp3uwwpG+SDkLLbHzWPFZpJ4LvJL9NsoioJQWRtm55YxxtZi4Nw0TvdO4MUTI3jm+CSePj6FM0sBjE+vIBwW4ZobQlWVH9u2BHDtnlrs2VaBgWETVSo9STCaSCLb2fBwiGKcBM0tRjAxE8LQ+DIGhhdxenAex3tn8fypaRw5MwMgTjaWVozPcXGRC9furcEvf7++3g0STosuFnBxQR3tgTrea7t9gWwUkBEkUcLgkfO44aYrTNuZGW5DMwo6tuSnmBrDMHj9y9rwy8M5UroiXz6aFK4OlmopCUNWn8vSzYQSVcVX25n1rQ+dApBSpdxOyJGRwUvzRjk1jvXKWzVbtyAUjmF+aNVTYXecZBuj9mb9bKTQpY00FqfYCIQDyO046qp8WA7FMDSe29liO0aXJCmISSqKt+5OLrObfJvPJF2q/K1XQMRmbotT+WQgLuO9vBzB9MwyRscXUsnEC+fw5LPncPLMGEbGFhBcioBhGZSVeNHcVI7dnRW4dm81Lq8JY3dnBbZ659Fc50e1OIYSvwCeZ9FU44MoKZicM3hOkORCTzK05/zAIUiSgpCoYDGkYHYhgvHpEIZ812NgUsFp5iocl6/AkTMzeOb4JB4/MoHnT0/hzLkghsZWMBuMIirK4DgGZcVu1FUVYVtzAGJMxuRcCDzLQlbMvfCvuKEZh54YtjyfWcGmd6ZALApwioL0bQEZYWEyCDkmQwyL2NMar/ehhfJoOKn60J2YuKMZWm5XPEEyX7jlygZ89r+OYTmiwu+Je0/syN9SQbx0ABh7MxzO8GjnZRcWDD0gAMCA0PlHF1Diwzu21eOkmp58bje/gfSOaNvorxMZakRWM7ciIGSfccLRhIneCxBGJ1HUUGO6rV0vjx3YkaZdaxKwWUmH1b2dK+Uos/3oZVCz2ZdH4NHWWIyB4SU0DZ/OSAY3U2g1PmJDp8HzrGHIkwa9AU+Gr+hhFtJCqw9E2yfZzud1YWnJOMTHDJKkQAyJiIoSxKiESDQGUZQQHR1AtKQRYixeL8gVHIO7vhVuwQV38AJKXRzcbhYeHw+PwIJr2pFybOpoD7ACwKOTN6ecE5Zl0VpfjIFIKarrtoAZ742Pq+8QpKZbISkKYpICqfgGxMaW4usSBT8l+XJIJ6YQk/dBUeK5Ffzkc3BNPwBXy3UQeBZ8yw0oG3sMPAe4Om6FMPIAhB0HbdVxaa4rxuRMGKoCeC2Upl5yeR3+39dfwOnBBexoK3V0HSzhMAQsHypxBVzcKJCNAjJCZVMF9t+xBw/94nHsfMtu7KneisO9/TgMJCuJmxVaA4ArrrsGn7n7xfyNsdSDne1leHSuHXfWn8q+QxuqI0kjiDheMlRHvywjydnRHuwCnSxkAi3XYxecj8WorzTSyYdQ3dGE8fEFcJEYPB6XrRAppwSKRK5yMjL18ND62OzYCEZGLvddXuLBmDse4tLakB8vKw3nx5bgdrFJomGUZG1Gusj2VuTLqL0R9FXEp2bse3+m5yMYlssRGT0HWVbhrvdBEHgILg4eNw+vV0BJuQdeYQGCwMLb2g11NAamoTExtnSpWjtJ6GbrKko9OD/F4slnz4GZm4gThykFvBoEx7JwTTwFvuV6uDgWLheHIq8LPM/Cpf1xLARBIw+viP8bOATEEP8rS6ybeggQWMBmwciKgAcTs2GcH1vC1i3mlVAFF4fbrm7Ed391Fp/7yJW2+s8INqR8neRo5CzEihbGVsCmQYFsFJAxGrbVY+q+eMzpsam+lIrmNDWh5Mx44uGzf3slxmdDGBxdQltD7pPEAeBlVzXioefGcOer4t9Jr4ZjL4cDPXWyrki2oR9McCHlZat/cNsJNaL2SRjP5PUxg502hoRDCKGiwo/p6UXU1ZUCBorHWkiZ5uEwOyazdZmSOQ0XC0HIFnbVhnJJAtYyBry+2ofzo8tozayUhGOshCVMzISwo60MQLrXQoOd54bR84VcTiuK5ySp1+sTEHVQRXy5uBHFMRk7b74WrulecE0taWNDeer7wYpEmI3VbnX3XaXLkBQFQn11wuvwitWVLh5oKY1/zoVRS8sDoUAQWOzrsl/Q8UNv2I47//R+9A4F0dlsTk5swUzK1+J9R7ufrNplhQLB2NQo5GwUkDHK68swNzIHrS7ksam+pKHYzYSwa3Es+V+fq8A0dEFwsXj7Dhc+8fUXIOdJNap7axn6LsSTAzViQSaAM22RtL9cwvQlSglZorVJvkR3XIUTJfXUvpwkUpP7caKE5XSGnzYmv98Dv9+Dqf5h7MSKKVnQh+UB6eSCJpPrFDSFLTuSxE6TyTdDzQ0aaGpDTmY1aYpCVjBKBs9H7kiJT4AkKZhbzO1v3wgcBygq4EuEADnJ1cjmHGRyDdXRHnhnByFNDkEU7eVtuPj4LILHwyfDn7S+rPZvpZBlRHz1xIoGQWDh8/D08CZ9Tp72n2aM00JprQzhLNWqNNRVFuE1N7fgWz/L0oDP0Xg05HViIMdjLWB9UCAbGxyRlShOP9aDlfmV9R5KGioay+HyuHDu/gHsqd6Kd10Xf+CS8rdW+ODrWEREGd/9lX1VAydorS/G0PgyZEVdJRPtBzMjFTZmVoyMATuGupb4nbKMeIhr60hZXXK59tnK+DZTstLWW8kW24V+bABQVlYEnucwNbWYJKpOkI+aG0DqceeaFJD9bUbCkStkYpSQ+Qn5MGp4nsWWOj8GhpcQsWlQZwNvazeKvDzml+LqQ06OSR3tQWzoNEIRCYvLImYXIpiYXMTw5DLOjS6idyiIUwPzOD7vxwsvXsCzh89DrrGvha/flwa3wKUkiZtdi/KyIszMrWBFV8PEKHk8EzlNfT96Tw4NjkiaEdHQ1pGf13jG/a13duCh50YRXMqiRoydMdv14q+1eESBeGxKFMjGBscD//kwfveNB3H/fzy83kNJA+fi8Nq/exWG7juH04/1ZDTr7OIY/MOHLsO3ft6TkeFphdJiAS6exfRiom8j1RGzZTl6oZxUfZZVw/XnMNMHuR0CQipYGSHXhrE2jqr2RqiqmiQcmjoVGTqlD8Oy0y8Js1ohtM9m7cg+9Wpi+cRGISakMZhrCVq7+88nait98Hl4zC5klgjtBNFzpxFOGO4aaZhbjGByLhRXOEpIpGrE4VjvLF44PY2nDz2KJ49O4OnjUzjeO4veC0GMTK1g5uwphCNxiW+vh0NFwI3G+lJ0tFVCFGXkIu/d6+YRCtsjR0U+Ac1N5ThxehSzc6u5HrmqxWAUamY1Lst7yGboU1bIgaHcUl+MPZ0V+PGDg/kZh0NPQt7DHcmwLi20q0A4Nh0KORsbHCsLIXRe1YFzLw5BVdW81KTIBuX1ZXj9J16NH/39z9BWX4tr77gMQDzengyD0Wbtu5lQWkXxrv7fwu9z4Yv/fRJ3vaUbLJu7Y9TOF/WFS4tNzdMslRooRTfieRE4/Qw9hIASykMmnO8KjuFEST1OlNRj12JcRpZUotLOuQbSANcTCm1ftPwKMzhJutarZJHj6mZCqKkJYKpvGDVLi1DbG8EwTHL8WhuzsWnE5EBnR/wzJexKD72ylhlIbxRVjjgDImDm4aKRGH379cojsauWZJbsbNa3mVzqWuVu+H2uvKrjaVgKiYhJKnqHFuDiWLAcE09S5hnwPAuejf8XBBYlnCuZpMxx+kTlVdDOe/DscbjdAUuVLbPQpGStDYFDaKgHqlSSsn54dAFVFUXweFwp2zbUlcLrFdDbP4lYTEFtTUlyX9mIDKz5LHom74NMjWEHOYFvur0dn//+CbznVdvyZxM4GM+aY6OOqwBDFMjGBkf9tlqEFyMILYYQXorAV+Jd7yGlob6zDm/45GvwjU/+DwbHJ/C2d788ZT1p2GrfyURxhmHwP5+5CR/85G9xfmwJn/vIFZYygE4QFWUIvMkDeQ0fXExwAUb+GzNDnjQyaQZ1NxPCYSCNcFjt556zY0n1MCM4TbTWyIWRN0IjBgCwo6MRU/3DmO4fRkW5H90Vq33YzcUwksrVj1t/bq3IArm9vq9MFarsJuEbjXG9SQeQTjKczC7TQEtgXi/kK3eMNLArSj24dm91TqV2aV6DeW8DSjnrsDA7BrzPw2PBVw8QinXRaAy3vPqr2LurEd/92lvg9Qop25SX+tDcWI7Z+ZUk2YhJMqJ9J/CVX42hpSSGt9yR/qwSYzJ+8uA5rIRjODe6jJGpFexsL8O7/mAbqhtWj9cJ1vT+siIaeiNe+24zMRsAXnpFA/7p20fxxIsTuH5/Xe7GttFglDNTIBubDo6fdlaGTAG5RWNXAwZeGATHsvAUudd7OIbQCMd933wIP/yf+wDEjUCa0ZhiKCUeHDUVXvz3h7wQFybwmbuP5nRsbY0lOHFBXt1fHmGoLKPVp9AV59MblmSYjtOXo/63SRrhZoa7HaPeSS6DHS+JNjaWjRf943kOYxMLCI1PGfaj3UvaeA90diT/tD714WPZ5mDQjHuyr0wqjucyNCpfOSaG+6PE1lup0JgpBZnViyDXr8WMtqqqcLvWJrJ4LWp6zAfDqCgvsv0cMQuPc7tZhMNiyrU4cnwkSSK+9b2nqPeGGJPhSiRkMw1deO3HHsJV7/gVvv+j5/Av/3UUkShBhgYOoXcoiFd99AH85MFz+N1To3jgmVE8d3Ia//XLXrzlbx9OuZec3BO2zsFaGrBaSBCNeNgAxzH4w1tacffPz+ZpgBsEZtdksxGnSxyOnnh7O9pyWnCrAGvUd9YiOLWIxp0NYLmNnWJT31mHV//ly/GbL/0OMxdmAawalUYGLXPDXcmHrm/HHfinN7hx/9MjODsUzNm4XntLK/7zaUJaN48PKbMXoJ5opG2rIyNp2yeqjRuB/G2a/U7JfdMUn/INkiCcVH1gGAblrQ2obGvE3PwK5ofG0mVzKWM83Nuf/COXkYQkW6UqDXqjPpNkcitiYtYXWX0+W1UspyATeEkjz44BZzdsxoxU5CsxXA8xpsDlMtBjzhL5PAaj8xaNxuDxCKbF//T9GC33eXhEo1LKuuOnRrFvVyPefUcTHnzoeEq/WjvBxUFKVMaWZQVTc2F8+m/uxAf+6DrIStxoHp1awU8fOoeP/qIMb/zrh3DndVuwe2s5Tg3MYykUQ2WpG7u3luOVN7Uk8/rIcTx/ahof/+rzGJ/JnYhKJCrh0JPD+Jt/ew7f+00fllYyCK/LJNdP28bGO+rdr+rEubEl/O6pPFYV3whKUEbnsODd2FRwFKtytH8QXv/GC+O5mOHxe/C2z70Jte3V6z0UW2jZ04zr33w1fvSpn+Il77wB26/dtmoMGhm2xMO1opjFu161Df/wn0fwX39/Y3JWLBu88bY2fPl/TmAy6EZNYO0IG9PQRZ0ZZxq6oOqWketS2o32AAOH4qFXgatyPsZcEo1sCvABgNcroK4mgIkIgPOjKGtpcNSXVuuFDCVbayJlBqM8DD2cJKCvRTiVVX0DKzghJXpyspa1O8SYjECxy3D9RoWR16ikxIu5+RUU+QRDrxLtvNNkZD0CD3VmGJGqCmgWwOjAEBrqatBU48fsQoSaUzg8ugAkAke/8Nn/g6IAX/73BzA1F1cDvO1Dv8PcYhTd7WXYv70Sv/zSy9BU68dyKIY7rmvC4MgSzo0tYXB0Cff8uhf/9+AgrtldgxsP1OH6/TE8/Nw4/uJLzwIA/vgNO5At+i4E8ZUfnMRTx6bQUO3Ddftqcd9TI/jy/5zEy65uwJsPtmP3VoO6GJnmd2TYl8/jwsfevhuf++5x3HSgDp4chh6njWO9Q5do+17vMRXgCHnN2UgmbhaQFRq7zGPqNxoO3LkPxeXFePx/n8JTP34Wr/rYy1G5xbhwEdPQBZWYQXnXrnN44ukw/vnbR/GJ9+9Paau55Z0kxQkuDpfvrMKTC014zf6WjI7JKbQXtZ3ka33MulV4AM3AJGfwab+5tTa6teRu2v6NEsYBgKsoR40kY/zsArw2K41rJEMrKplSFHANSEeuKpUb9a3BSb6HXRKSK4UgDTSDnjZjTisyR/7PB8yIhqIoWFyJoa1x7aqI5wJGSfoAUFPpR9/gNIqK3CgvNf4N6VXGyGtDnjNfUztCkRl4EssmZ8Lo3B1Aa4MXXjePV37kfnznUzeisswDAHj2vsfw9v/3KPbvacIfvelK/PiBc0kPwc72Mly/rxbX7q3Bns5yCDqPkt/nwhXd1biie3WSTZZVHDkzg0deGMPXf3waf/PV58BzLLY1BzAxG0ZMUjI4g8R5UFX8yb88hWv31OCnn78FrUSh2YHhRfzv7wbw3k8/gbpKHz76tm7c4CRXIk94+Q1b8KP7B/GNn5zBXW/ZlZtOSc/Kens1zFAgGpsKjGpDb3RxcRGBQABff+HLlp4NkmAUyMalDVVR8fyvj+C5X76AD3zz3biyO/4S7D7zMNWoUL77jWT9i/kVFa/7Sgjveu1evPngai7CbR86BLfA4fN3Xemogup//7Yfj74wjm994vr4ApNZEcdqKbq+UmYMySRj8mVusFxDct9k3zving3NuCUVmwDz0CktCdyJ8pRT0KrG2yUc+jE9s6CibWYE1R1N1PYaDvf2p1Wv1547+hyWfB2302Rxu54NfYK6vs16J4vrvRB2itPZLSS31picC2F0MoT92yvXZH+5Sli2Op/TM8voG5zC7h318PvjJMBov6FIDD+8bzBenXpLAC+/YQsqAh4MjS+h78Iinj81jckwD1dsBSvhGJ4/NY27P3ED9m+vRCgSw6e+eQSLyzF88++uw1wwild99P6kB6O1uQJvuLkR1+6tQVWZB6XF2ecfnh5cwPd/04utzQF87rvH8cHXbcefvbk74/5CkRgue/Mv8Ph3XoGKUg+1TVSU8PNHhvCF753AP72Wxa27KZ4wWg4GLTQqR8by2fMLePPHH8Evvngrmmr95o3NxmOF9TTuaYUUC1h3LC5HUXrl5xEMBlFSYj5Rk7Fng3yR04ycAtEogGEZXPHKA+h7bgBHfnsUvMDjHdvq08MltMRordBe+0GUDRzCN97lwVv//UW0NZbgql3VGJsOYWZuGR94qYA//ccH8NOvvBJ+n72wh1e/pAXf+PFpHOmZwf6uhEFh8vB3bAgYkBdasrc62kMNiUq22XEVGCSMERsPVysFqmNTfYCF4lQuoCcXmeKk6sPlxcsYHYlBkmTwPGd6jCTR0GBHyMJorE5JCWn02yEcVh4KO3VAnCqE5Rt2q2BvVAxPrKC5rti64TrDKUmpqvQjEo1h4PnD2N1J9y73nFvALx8dws8fPo/2xhJcuasaTx2bxFf+91Q8aV7g0Fznx5ZaP7bWu+D1lELgWFyzpwZ+nwtTc2Hc//QI7nt6FFFRxof+6Umc6J/D5Tur8LpbWuFysTiwvTLnEq072krxzx++AuGIhN88dgE/vn8Q1++rdUwYZxci+P69/Xju1BQUFZicCxuSDbfA4423taOu0oe/+OKzUNQYbttj4x2Ux/oQ21pK8aqbmvHJbx7Btz95vb3znKk0L7A+Bn+BZGx6OPJsPLXwK/hLiqgvfqNlBRQwOTiFH/ztj/FHX3wr7tqXavTqZ/XV0Z74DP6vPwkA+O3RGL70AI9ff+U2nBqYx99/7VH88t9fg/d95Je4/tadePvL0w1NI3zv13148LlR3PPpG8EM/o7eKJOHmu4hrA+J0gzDFCOB9FI4SNS0qv4NGJN/DU5ra9iBHZJB82yYjWF6YBhCZQUCAR/uOTtGJRBGzxhaWydFAjdSrgcNG4loWMGuB4RcT0ssz6Y+gxlmFyI4N7aEy3ZU5bTftQLT0IWHf/EwppQAKsqLsH93U4oKlaIoeO7kNLo7yuD3xeVpf/vEMP7+P47E16sqXnJZHd7wsjYcIM7Bqf45DIws4tq9tUnjOypKuPE992KBqF4d8AsILse/X7+/FlfvqsbebRXY01kBjlu7ulA/ONSPL37/BN54ezs+9Prt8HmsScDh09O46wvPYGdbGV52TSN2tJVhm+YxNzKuE8Th8SPj+Oi/PoFPv9aNg3td6W1Jg95McSoHhnQoEsMrPvRLvO8N+/CG29qNG+aC7BQM/wISWBPPhhkKJKMAEjVt1bj8lQdw71d+h5t/8nHs5iIpRrah8dF+EAfbVPzf8cfw4/sH8cqXNGNsXsGFiRXcuJ/Bi72zAOyTjTfc1ob/+tVZHD4zg8t2GMwy5SDpTO/FYJAgCaOrbbRZcKpKjDabPYrkGJkb7krtywGOTfUZFvsjQSMguSQldvvXlhX53AhOTCMQaHYsuU2b/HDidcnkuJ3kbujb2t12M5EMDXZDp0hVpUyKA2aK5bCEkiLBuuEGxaH/ewCf/MZh7OmswPSyivHJRXztL69MkieWZVFZ6sH0fAR+n4DhyWV86puH8akPHEBLfTE6morTciYA4G///QX0nI+rAn7q/fvxxtvjRmx3exmKiwR0d5Ti4LVNYBigyONCiX99z+GbD3bgwI4q/NPdL+L2P/4dPvX+/bj5igZqW1VV8b1f9+GrPzyFj71jN91AJ5Oj9Rg4hOsDwJf+8nrc9bnHoQK4Y6/L2oORTRiTCXyjD+IfX+/Gh79/Atftq0VDdVHO+i6ggFwgY7JhFNZQIBoF0HD1a69A37P9+M8v/gQf+IvXYxcWDEMCmOACVM1LwDB4/x9ux8e/9jzefEc7/vDWrbj7Zz2oqezA4MgYjpyZwb6uCluuY7fA4Zo9NTjZPx9/ERspXBjNSNFg84VBK+bHBBcAWp7G6Wfi67XEeYMx6H+DtPyFY1N91G2MDHwrQkB6JHJFRPT9aJ+9tVWYmT2HWExGt4seouXUm6pfn4u6QXYIgJNCfpn0v1lgpmwFpHo+tOeDPucj1wXaeI5B2NrBvyExOrWCT3z9MD77kSvwksviXuOfPHQO7/uHJ7CzrRR7uypw+c4qbG8pRd/wIkYmQ/jsd4/hVS9pwR3XNUFVVURFemL1z794K072z+H04AJuPBBPhnYLPO7+5A1rdnxOsa05gH+960rc8O7f4M+/+Cx+/sVb0VK/Gh43PLGMf/rOUZw9H0RElPG5u67AzZfTCYkdXFfyIr78VzfgI//6NBQ1hpfvI7wpRrkbtPVGbRzg6q08Xr5bwse/+jy+++kb6e9EjeRkQ3YKKlAFZICcejYKRKMAI3A8h5d/5CC+/9c/xLZrtuJwZXE8fwN0XX0SV+6qQllFAPedUfCeV3fhDz5yHz7zJ5dD4Dm87e9+j3e9shN//vbdtsYRjspwCyZa+nl4CJOztvpaG05Ug7RtgNWK4Rq6mVBSeQmgkwwSZqTCikSQKk+5qmOhh9ZvrVdAaHwKgS2pyi/k8ZCEgcwVcxJilQ1o19FOAreVxK3e22EnIXy9k8YzgRMPRj5yQJZCMRR58yrMmDd87zd9uG5fbZJoAMBrX9qKq3dV4+kTUzh8ahrv+4cnAABbaoswG4zinX/Qife/tgtRUcZL338vZhai6Pn569L6ZhgGu7ZWYJeR1OsGBZswssNRGQ88O4rX39KGZ09O4dknXsAvX1Rx5/VNeOT58XibiJz1/q4tPoKvfOxq/NlnH4OqAq+A7v1hp6K40XK70rOJ99ZffvgVeOVd9+MHhwao1dltj8kKBcJRgEM4LjqgzYxaJYjrUag8XkBVcyV23bwTv//e4wDsG0Rs43a8521X49v/9QgqS9342/fswz9/+yjesn0QX3yrGy+enbU9hkhUxsRMCIpiMpOZzUPUwUPccrabZlhpXo/gAnVWX08ygHgCtb7Str7atgayGB4tr4I05DOZXHBKToqKBKyEoslzpd+vk+eK/rllBicem5QaKkSBPScGP62tvoAgDUaFBfVFB9eqwrgT6L0W+orja5VcHhVlCGtUOTyXiIoyfvn7IbztzvR72uvm8cSLEzh9bgFVCSnal17ZgPv+/WA8z01lcOeH78PMQhQvuzp1Zv/bv+jB+//x8TU5hnygssyDrpZSAMD9T43gxvf+Bl//8WnMMzV4+ys68KP7zwEAvv431+DO67fkZJ/XFB/Bv73Dg0//LIqv3hdFrPllqytpxf3ICuI0OM3rSLT3enh85k8ux5f/5ySGJ5bpbQskoYB1gKMn7NH+wYx3VPB6FAAA173pagweOY/RnjGcKKlPn+nXFbXTvr/sJdsRDAPPjnlw53VN6GotxReeqEWs43YUF9kvxPX+13bhgWdG8YlvHIYNbQTjvA6jdfr12c4g0V4MCcIBpBMHmjIT2U6/zA404nFS9SUldO300c2Ekn/6/uzCLfCIxWRHxnIuJjasxmhUzZvWDjAmDJlUITcjGFbbrRf0pCLX9T2yQXnAjdmF6HoPwzEiURkBv4B/+NaLeOzIOGRZRXBJxK8fu4A3f/xhAMCbbm+H38vjiu4qfOTNO/HtX57FFW/7JXa9/qcIRyQAQFtDamInz3F49PAEzg4F1/yYcoWv/c3VeONtbbh+Xy1++9Xb8LKrG/HbJ0fw9R/H78Pf/fvthvkcKXDw/L56K497PnMrHhkowqv/5Oc4fHo6tYFdLwW5TzteEV37yz0v4NUHgD/716eT1zgr0MZaICwFOITj6Rzai9zJjGEBlza8fg+uf9PVePDu30NRFMMiYPqaEzzPYv+eRpy7MAu2cTv+/lNvwO+eHMGhB09D4E3CorQ+VBUPPDOK3z4xjMaaIjx6eBxPHZvK7CC0B63d6q8Dh+zN1OpeLPqEWf056WZCqQXssBo+ZUQ6NByb6sOxqb6Mqn6Tv/dceQqMjHtZUcFxxo8pK8KkjdXp88myEKNDw92ImDgNd8qGMKw34dBjoxCOIi9vmLewkREoFvDrr7wMd2wP4VPfPIIr3/YLXP/uX+OeX/fitbe04kt/fhVODyyguEjAf33qRgyOLuMnD5zDb792G/xeHv/y4cvR8/PX4SNvSa1N8eaDbQCAnzyQ+eTieqOx2o9PfeAAPvzmbtRXFeGDr9uOR+9+OX7xxVtx5mevTcnjMEQGE0U71Kfxk3+9Ba85uAsf+MyT+ORnfx4vZEjLA9Q8HjTPh74tbUwm3o+P3elCwC/gI59/Ot2L7/S4zCbcCijAJhyRjb0dbQUPRQFZY9/teyBGRHz/W7/BiZJ6qsFBM4oiC/Nwu+Ox1RXlRfjyx67GQ4/1YnBk0XKf//3bfnzuu8dQXORCKCKB51gshWL2Bqz3VDhJINf3oUNKpV6DfA9t27RE2eACuplQirfBimQAqfkcmlfEqgK5BrPierS2ThWgyP+He/sBA++TGXnI9hllh3jlKiciWWNmjXIs1iOXg5SzBfKvLuUUblfce7YZIbg4vOc9r8RDf8ngx597KR779svxk3+9Be95dRcYhsFb7+zA8OQyPvy5p/C1H57CzvYytDWU4K/euQf/9J1j/7+9845u2mrD+CPPOHsRMlghkDDCHiWMsqGUAt2lkxY6oIzSvUv3bimdQAele6+vBQqFsmdZBcoMYWUSINvx1PeHIyMrki3bcuyE93dOThL56ur6WpLvo3eJ9qmte3hzrsIs+npjhGEYNE8woEN6rOL1PoSoVAwmT8jCL3NHotCciLF3/4o/i2VU93YnOgD3FnXBflqNCu883B9FpUY8s3CHF6P3AhIchBd4HRXn7kteWLmXhAkhhkqtwogpQ/DH238iM6c90LXj+YJw0eeDk4WuF+lpUfjyq/XYtWUfps24DBeNHoTvW7RFdY0ZgLQbBMuy+O7Po3jyjh64uFcKDHoNvlxyBFZb3dNMOcFuwhuru30kvgz4GXfqpccVsfA4hUbGmHpCw7lwqwuwn5SVisUHC1z254QHX1x0S2qPbkntndvkPvHnrmU59XWEcAHnwqJ/Ypmh+K/3ymwHbXk+7HYW1jNnsL20wGUMUsd1Nx5hVi2x1xoSYbxHoCwPzlovvN9iYwgEfOscf1tDxmW4g2VD26ohJ/sW0+5StBXZntk6Bl+9OAx/bc3HqeJq3H1tOgCgvXofjhfUgmVZycV3Qqz/Vb4vOHjfCWlJEVj45CD8vvYEnpu/Gb+sTsacO3siOVFw75HKDuUh9a6ncUQCWPjkIFz38Eos+HE/7rqqo/fvhyAUQvGoOE5wkNAg3JHeow2aZyRh0w9bAJxf/HWpKHAsfnjpX7nf145si8sGtULpuVosXLwBANC1cxpy+qS7Pdbe3HMoqzKjf/fmAIDUZuGwWO2oqCtEFXD/U0H/QpcoQLyAnxRiT4j5i2exIHGp19xlbuKuY/5r/lzXnqwcXN8ui/7YOBgMWtTUmOvFi3iLlJgQiysJFO7ERKBdnPgB53JjTi4EThRVo1m8eMXoUMEfa1B6WhTuuKIDnpnaC5HhWjz1/nbc8YkNfTNUonFlH/60HzqtCndcEVoWqAbH1wKvgvm8LG0flrw/HvHReoybvRz/W3tC/Dju0uL6yKZ/i5HRMhoffL+//nHF8GRdIQgfUVxskMgg5DLi9qHYsXQ3fvj2L8nzhu/X3aJ5BG6bkIkJQ1tj2Yo9OHZCXhaqX/4+jnEXt4Kmzvc/ISYMFqvdWbBK1GohBy8DwCUFhY/maDb/gGigMJd9CpAWHkKrh5g10lMffORYNzztK9VHVGQYKiodT2GlBIe/YkFqfFLZpXwVBsFwl+ILCxIY57HZWFxx3wrc+dx66EWK2ikNy7LyklKI7auABaiqxoJLpi9DZY0FC58YiE+nhoNpd6nL4pJlWbzx+V4kxIQhMS60BVhII/huiC5eiRdm9MHc+/vh2QU7sHZHoXt3KKHLlFwBIBALW/eexoZdxRjXjcEz87dj65//c78vQQQIRcUGCQ3CG+KSYzHu3jH49Y0lKCtyLPz3RDsWk/yn/84v2robbxftbnRNs+Hqm97HP7s8P61Zuv4kJgxp7ex39T8FGJBhw9L1J5F7sqL+Tdbbm66n/Oc83LqO5C6tX4+jzv1K6skm3yI0KSvV+ZPN1EiKBC44nIN/3XKvCS0aUvv4G3gtFBrc6/x2hjAt1GoVagpKnK+JFQEUHkcsCxY/IJ7fRkqssDGxKCmtxMl9R3G6tArWM2cCumBXMhZE0f68dHny1DYU3Kd+WpUHs8UGi9WGgtLAWbZqTVZ88P1/GDltKW6bsxY2m2fBIXQ9c3cPkMPuQ2dwzYN/gWWBWy5rhx4dEiXvW7dc1h6/vTVK9LULCn9iEoSZp+r+H9gjGc9N74X739yCfads59sI4wCFblVyMliJZKa6dGBLAMDuE3aMzgZmflaLw0Ui8Um+Cg2K2yBkopjYIKFx4WK1WH1+Yteud1v0HNMNKz9ZDQCi8RrOL9m6G2JqnAoLphgwYXg7bNl+zOPCJdygwerthWBZFuWH/sX3K/IwfZQeUy5m8PSCHbBY/fTZdnfDFXnNKaK8zWgkWHAwaR2QzdQ4F5RiNTL4yAkel9PGV6HBjY1DuL8760RsjAHnymvAnjvnfL9S7k/+WjmsVhuqqmpRUWFEYeE5WAyRaN6+FdRqBvkFZThVUIYzZ6tRXmFEdY0ZJpMVZosNZosNlVW1sPp4PvEtKGJFAn3tTwmE8UYeYwhCLAhciNVqxwff74dep0ZkuBY9OyTWa1NZbcGO/aX49/AZn1Pj1tRacMNjf2PN9kI8fGtXlFWaceX9K3Dtwyvx+LvbJO+bSmfq+vCnA0iIDcOK+WMcQkMChmHw2JTuXqUTb7L4W2+JLxp4P5c034sbx7TD3NXR548jp5isDxb3/pE70DqRwZFiO7bk2tC2mQq3f1iLyho39ygSEEQAaJxlU4mQgWVZvHPrAqhUKsz89C6o3KQplaLbqC74aMZibP3vILI7tzzfN69qtsvCqe7GnNEiGv/8dxS4JMlt/x8+OQj3vLYJ/x46i6R4A/q1taNtkgqTh2ix8cOzePzdbXjlnr4BzVIiFhzOoAOQ1gEs78vBZREnCA6vF2DL+eDXLUz4lb3FxL8ndyg5DwzmblqGYRkZskSJp2N5Eit80RBu0KFSZ8KZs9VolhhZr63crFdCISIMljaZLCguLodOp4FarUJUlAEREXowDANdmzTElZ2DyWRFrckKs9kGo9ECq83udJGx2VgwTDV0Og0S4yOg0/l/i/VXNHhTqd7tOBTKKBUKVo2KagsKTteg4HQN5tzZA099sB0nCqtQUW1BZbUZlTUWVButSE4wgAVQWlaLtmnR6N8tCaP6paG7mwU7n7e/2geNWoUvXxgGtZpBzw7NsPHfYug0Krz11V68/91+TL+uU2DfLIB2LWOwbmcRwrT0le817gK13eHGGnFJq2P4bqmx/nHkVuaWI07gyIz1wFgdZi42waADdh53iIzvt1kxebDOr75ltyMIKCQ2yKpx4WKqMcNUbUJMZBjKSyoQlxLrdR8xzaIRGR+BgkOF2NspC11Q5lpTgt+Y98SorbEE367K99h/eloUvn1lGN6b/zu25kbhqbGOm6xOw+D928Jw1Vsnse6PElx82bjzO/Fv+DIyf7i0EyneJBWvwU95Wy/rDG8MLtaQ/DqBUZeJiuW2F513CdruZrj8bFScaPD2GpbKZiXM9iTMQCU8lpjo4AsA/iK5WUIk8gvLUFxSgTiLDTqtWtQ6xGW/Eh5fzOLBz87ECY34+EhERor7qzMMg7AwLcLCpJ/8ms1WGGstKD5diRapvqXa9GT1kspcpUQtj0CitNCoqrHAoNdgwY/78evq4+jTuRmen97btZHIAs5Q8Bdy2quw6bAdb3yxF1cMbY0rR7RBbOUexGbmIDZKj6T4MITXfc6V1Ras31WEdTuKMPXFDWjfMhqzrs9Gn+xmbseXnBiO/JIT+GX1MXzxxxGUV5lx/SVtcfPY9miTFoWbHvsbXdrH4eKeKXXHMaO0zIS2ffs4+/Bmzm54dBXOVZoxpHcK+nRKRO9OzRAdqcO0azrgWGElLpmxFI9O7oarR4jlriLqIVdoCBfeHgRDUjSDCqMjbkit5t0f5C7g+d81Utms6hjWWQPAhMNF579J+7dXIEbJ17iSCwmaGyd+i42GEBqUSjd0ObojD9GJUYiMjoCx0uiT2ACA5m2TUHSkBNsPHUGXZDdPqXkXbbsW0cg7cab+DVsEg16DBy7TAzADOH+jjQxjkNNejV0V6bjY3TF9edIj4wbDFxickPAG55NmLxaUnFBYlZsLwNV1ypP1Y1hGhnMfMcuEcKHP/829DkjHarhDpWKQlhKL8gojiorLkZQYBX0MnPtLWTfk1s04V1yO2OQkHIuIRzakYzi49lLodBrodBoYjx1AWUQW4mLl1xoRGxf/b6GVgl+hvMGCz0UyqQXDbepEUSVGTVuGFs0jUFpWi8fGafDa0lN47u5eogKv9FwtPvz5AJauOYLSShYx4cAt49phdr8ChOuLABTB8ZW4DTDC5VqMyhiDMQNaYsyAlqiptWDx/w5j1msbEWHQom/nZoiP1iMyQovoCC2iwrWIjNDiTLkJ2/eX4ky5CQt+PACwLB65rRve+WYfdh44i/cfG4DnpvfCva9vRo+sBHRIj8XnfxwBy7LYs8EhNrwVZ3qdGnn5lbDZ7Niwqxh5+ZW4ZkQ6Hr+9B956IAfb9p3GjJc3YPU/hRjYIxlDeqXUT8VKuCL3YZPY/V5i3/hIFfR6DQpKq9GyucBSy/8e8fTd4672Rh1qFYNbBmnx2brzdaXiIhS24tNiuj5iBRgv4HlqNDZVEhqhx4GNh/DnBytx1WMTsPmrzait9s2v2Wq2Im/XcQy8LgeAI0g8e/8q50Kce4IvfPIfH6NHdLgGyzaexNhBrXx+HxN6aXHPZwcw7dpO0GpE3MAUNBULq4C7vFZeBqnIF5e6CAJ3Kj7bDx1BtswUsZxw8AV3dTo4wcEXHnzErCH8tvz3KlxEq1QM4mLDodNpUFJaieZxcTikjXY7VjErC39cbEwsaotPw2q1IyoqzOU9CP/2hrhoPYpz/wPbtiPiYsO9snDwRQT/fzHBwX890IiJCndpnAMpQuKi9GAY4PYBFrRI0KJZFAObzQarze4sTIfcpSipsGPhhzvx06pjGNC9OebepEenFioYdCo4BIYM10/ePSA8YwymXdMJt1+Rha17S7FlbwkqqswoPmtEVY0FVTUWVNdaEaZXY1CPZMyc2Blmqw0vfrQLz324E7FROiTGOs6zS/q3RLuW0di69zT+O1qGXh0T8d/Rc6jN2wu9Dy54H8+5GF8uOYLP/ziM394ahfySatzx3Dp8tzwX149phz6dm+GH10bgj3UnsWT9Sbz0yW6kJhqg06nx5B090LuTe0sNIYKP3w8pieE4XlCFllXrxBehCi5M7x7hKjZOlNrRPEal3HHkun9dKJB7WT38FhtcXY1A4q5//sKFBEnDkrfzOGLjo9AyLgHf5xZgfPtkn/o5tPkI4lPjkNgqAUDdgrlTP0DMJYTnfsQwDN56IAezXt2Ib5cfxRO390Bm6xjpA0mYxLu3VqFFPIMv/jiC2yZkejd4BW6wTFoHsGvnSgoNJq0DwHObYWNigf82u7hWMeVlzmtxLxuOXpnt6hXz4xC6UHHb+AX/uP/9wdMC3VNGKaeloq7QI3+hHRGug90ejpIjJ5HZrqVbwcGJDDHRwG0rK69BbIwBDMO4WDX4QfdCgcIhtdDXt+mEtJZ2FO/dhWJzOzRLjITay5gmd25RgRQYUrEZUlYMt4UpA0RUhA7JMQw6pKnQvbUGz/1kgtFkxa1PrcX2/aV1T+2T8NuaE7g4Kw/fTNchM6Ucfn/t1d0/tBljMCBqBwbkoP59IHcpACuQcT4e46uXhmHN9kLsPHAGUy7Pcm5v1zIG7Vo67lssy+LWp9bg4XnbMPeBfl674KlUDPpmN8P73/8HwFFY7pax7fHiJ7vw3nf/ISnegAdu7oo7r+qAqdd0RK3Jin/+K8W/h8/i3tc3Y/7jA9A5I977OWnK+BObILVvxhikNluHk0VVQA+Rc0eq5oaP44iNUOGr6WG44b1aAMDmIzb0GTVOegdf3jMJDhIZbvA7G1UwF/i+ZMMhlOOSu0eg66Vd8fK099FxUAeESfi5u4NlWWxfsgvdRmS7bF98sMCZBheon3qTy8zUq1Mi/v79Pgy8OBs3PLbKp6xYDMNgzlV6vP/NbhQKU2AqfPNwCRAXxG3ws025eyLMlJe5CA2pmAROLIiJhlW5ufVcpoTpbfn9eBIegSjkKXS/chFbACLTkhHTMhmFhWWoOFeFTEuF2wxV/O38hbrZbIXFYkNEanO3+8kNQuejVquQ0rUH1GoVCosrfM5UFSj456PY9cVvx20XQ64FQ2lLR/fOLfDVBisAIOfiPhjZLw0Fpx2f1+rthagqOY4fZmnx1s0GZKYoXEtD6CYhkX6U///gXimYfWO2ZLYnk9mGPtnNsGzjKfy4Mk/y0JXVZsz7ai9ueHQVrnrgLzy3cAdKzzkWkntyz6Fdi/Pie+IlGVjxwaVY8MRAXHZxKzw0bwuuuH8FDh4rQ5heg4E9knH3tZ1wQ187bn5iDR57Z5uPE9KE8WURLWWtqNue0iwc+Yf2irvbSJ1LftAzXYMr+ziE9nsrLLDbfcsgSYggVnPL35T6TQzFi/oFA7JoBAeGYdDr0u6Y/vEdGHnHUJ/62LfmAGrKa5A9rH5GFrE0uGLoSo9gzIhO0KhVPmeUykpR45JuGny1xM9zSeKGIidPvrsFnVTAMFNeVm9xLWfhz88oJSUwPMEX+4EQ/u4W99x8HI9MQEpKLDLt1SgsLEPxoRMwm63OdlJP//nzWV1QjIhwPVQV5c7jSh1b7DWhCBLCMAyaJUZCp1OjsqpW8j01NPzrSkxw8BFaLTy1l3NMJXji9u5Yf8iGNfut6Bu+Cyu35KOwtAatEhgse9iA1280oG1S4Av2KcX3K/Lw7jcOq4RGzKWzjntf34xt+05j4iUZuOuqDjhRXI0H39oCACgqrakXh9E8wYDOGfGYPCELaz4ah6G9U3H7s+tQUWV2tpl066Xo3y0JZZVmECJ4s1iU0ba8yowYLnbCk0+/3LgRD9w/9nwGqm//zJW1DyEDYeV1Ehr1UMSNCmjYBb+Y6xQJjuAR3cy9z7wUxqparPx4NS5/cCw0IikZFx8sQK+Ow8670IgsVLiF+bH/rUZSvMGncXDcMkiLG94/imbxBtx0aTuoVG6Ei5c3D4/uJSImaG6Bx+YfAGL6ifcrWOAKXaQ4tygp8cBvv7vkMFbl5mJYRoZzH3cB48JMUpwbl1B4eGsREGsv5Wa1/dARZ+atWzJTUF4ejsLCMkRFhSFeZQF44nPxwQIAwKSs1PO1OmKAkvAo5IXFoCDKgGzUuHW7kkJOzZTYaAMKiytg8JDNSmnkLvCFRTTrFdWU+LvBUtmKPDlMiA3DTeM64ePV+zG4oxo2O/D0VTpc108b0FTWsvHyPnHpwFaoNlqxensBnnp/O7778yj6d2+OHlmJ6No+HlERWqzfWYT/jpbhz/fHOC0kOV2TMOyuJVi7oxDLNpzCzWOlxb9azWD2jdk4dLwcD721FXdf1xE/rzqOssJjOGuOxbwH+vv1lps0Ui5NPrgdnSquxtgMxvP+3mSn8kBCpApPX6XD0z+a8czCnRg7qBWiIyVS4PrChR4Iza+rwt8GXPBuZopZNnpltnP54bbxX1cK7sktCYzQgWVZFOUWw2qxem4MwGKyYOk7y9G2Zxu07ioe3M2dM5wLjTvLQJ+RA3CuwoRt+057P/g62ier8flUDX5amYdb56xBfkm1eENeqlp/celDxheGmDsR97dwkc7Nn1A0CIUH/39+0LinzFRA/TS2nhDLTCWnrRBOaHD0ymwHhmEQGxuOtLQ4WCw2nKpiYba4Vsvl34dYlkX5iUKYTpdCo1U7413kiCNfXKp0Og0SEyJRUlqJ2lqL5x0Uwpfz1EXohgrCp4cA8kuq8f2KPFTVAq/9bsH0kRpMzNE1SqEBAAmxeky9piO+eXk4Vn94Ga4c3gZHT1Xi+Q93IGfSrxh191LMeGVjPVesqAgd7rwyC3c9vx7tWkXjyuFtPB7r5Vl9sHp7IW58bDX25Z7D0t02PDSpK5rFe+8Oe0HCnY/unmK7uafnl1SjTZLKYzulua6fFknRjuvjjufWSTe8gBfGHpGbnZJre4ELDaABslGJPfkkmh6Fh4uw+IGvoNVrkNYxDW17tEGXYZ0QHlN/UcayLD6a+RkstWZMmXeLZJ/8p+R72XAgOhxdKgpE2xrCtOiemYDcUxXo09lDRhU3T5E6pKrx3VQrXv+jBg/P24ovJovvJxYMqwT8AFxhKlz+ApcTGvyn72LXFv/6E1o9uP/5weFCPFk4+Ne0N9e3OyEhDBwXWhncuThlMzXQaNRo3jwG5eU1KDxZhASTFRFpzdErs51LxfWS0irYbHY0bxaN8jDH0z2x6ujc8YRWGzHLh6cUtBHhOgAOwdEsMQqGAFo4pIK2PRGoc1tpThZX4bY5a6GHEf/ls2jXMhp3DZf3sCPgKLCwiI/R4+oRbZ01MSqrLdh75CxapUQiLSmiXvs7ruyI6y9ph8hweecUZ7m98dJ2ePjWrth39ByyKTjcFbmLRKnYConvmspqM8qrLGiVoHFtK9Wnh/68gWEYfHh7GCa8acTuQ2dxorASrVKi/OqzHk3dwuGuAKMnV7imOiceCFjMhpgloyFrchANS0RcBHQGLW5762Z0Hd4ZBYcK8f4dH+HXN/7AyX2nYK61wFhVi22/7cBXT3wPU3UtzEYzDmw85LZf4TmzJzoVe6JTwcbEuiyI7Kf2Y+u+0+ib7b6auBOxJ1J16DQM7rtUhyMnK3CgwFZ/PyjnOiLVD7dodRfrIXy6L0RoAeSLDKGwkBITcmM3+NZM4Zi4IGuxuhvewLc6yLmXnIxORPP2LXGuvAYlh08g68xJpxA4V1YDm82OlObR0Os1yGZqJNP48hFaVH2xcESE65CYEInTpZUu8SVK461FozEIDABAxhgc1PTH9Y+sQsmZahwrZdG/vRo/TLNC5ybOoaHGFqjFRFSEFjndmosKDQ65QoNru+2Ly/HIbd0cWdhIaNTH389Sou7S6bJaRIWx0GtV3p0zCsVuZKWqcevFWiTHMBh19zKUnDV63skXxAKnmwru5lrMlcrXSvRNhCYRIM6HLCfBIaZZNDL7tccf85Yho1c6rnh4HKbOn4zEFgn439yleOPatzHvpvdxfM8JnNhzEqOnjYBaq0FqZopPx9vLhterNxEVocW5ct9qfQgJ0zK4tg+LL/71LZ2vT9RlpOI/HWdjYt3GA/TKbFevUJ5YpikhUulvpeC3EwoQ4TXHH5MY/Cf/vizWxY4nRjZTA71ei7SUWOh0GhQWlaP4dCWKiitQqdIjsW0LMAzjnF9OBO0uOVzvGNsPHXHJ1sW9LlWV3BPhBh1iY8JRUlrlUwY1KTjXJ1+Fg7v9glG4T4oPPlkJs8kEsxV48nIdPrnLgDBdCAiNRoZUVizCS7y0flTXWBCuE3H1k1Gkz+MY3BUZ5HHPJec/+0lPrvb+eN5wIS6whQKDs4Q0wvuEEjQZsUEWjeAzdtZoJKTF45unf4TVYkVkfCQGXNcPd390Bx7++V7c/+1MXP345YhJigZrZ2Gz2hCVEOm5YzkUHMSQ3ilYu6PQu/3cXPzX99diyfqTONdsmN/Dc5uNSnAjFqsQLUxvKxVEPXngGNybcwkAV/EgrLshhVT6W/42/t/uEjRICQlhfInU374gFnPBFQJMS4lFuEGLiAgd0tLioNXWz1LUK7OdU6wJY0KE7aSOJ5foqDBo1CpUVikjkIU0VcFhMttwsNCO+8fosGFOOG4cqGCAq69coAsIwkvq7vWV1VZEREV5VXVcVt9epMo16FR4/HId9Bogr6AK+/PKfDuut+O7EITHBW7FEKPBxQaJgqaLSq3CpTNHQ2/QYc3n6wGcd7FRqVXQ6h1PUi6bfQn+/OAvWGot2LNqn9/H5XzTTxVXo3Wqj76nIjf9lFgVBmWy+PbPo4otJtxV/+bjzPTDe0ruKWCa71bFd5niFs5SMRly4GI6+D9CMSNnnEKE4on/v68LeX6gN1+4aTQqREWGISoyDCqVyiXYng8/LTC/T3f1RqTS4XrCYNB6dKXypVCenFTL7vb1NI5giQ6WZfHgW1sQH8ngir4aJESFyPOyC2UR1VTx9/Pzct8qowXhYRqcPluL259diznzt6Pmvz98e/ItJ9ZDgpFdtOiT4biGbnlytaJWVlk0xWuGfy55G+8TKgTgftagd+pACQ0KPA8dGBWDy2aPwYG1B8Hmi/uBtspuiWvmXAkAWP3ZekWOy+YfwOlztUhN9O/JuJBpI3T45NeDOJpfWe81bxZcYu4tLovGuoAzdy4w7hbecs9/f6uCK4VY5id/BAYf/v3A3aJfShR5miMl72OGMC1qjGa3X/LeLuz9FQJyam0EI76jvNKMe17bhMMnKvDBbWHBj8/gcwG7RwQVqWKKSvTH3+ZpHy+pMloQzpbhdFkt1u8sxm+rj+P6d2sx/K4/8NMq6WKOSh2fz7NX66HTOBIQ1CskGahzuimLc09WDf57D9U5CMD9rMHv1oEQBSQ0QouohEjc++YUvPvIp/h30wHR4NsWHVLx6G/349Hf7ve6/2ymRjQrVWbrGKzaJp6tylc6pKpx5xAGD87dAotgEepuUeYVEj62/IxTHGLVwoXnv1xrhTvc9SHlUsThKXAdcNS68BVPKbWFxxbGvQgFiFDgiKXuBpSZVyE6nQY6rQZV1dKuVO4W9kIRK5ZJyhsrB9dWqpK9PxYTf1i7oxDjZv8JtqoIX95hQ3R4CAgNqdSnRMPAf3rsy+cgFBbuUtn6UwNDhKoaK8LjktGJ3YSXrtPDaLIhvRmDnh0T8V5dUceGIjVOjekjHV4HT7y33aXQY4MgJjwauxjhn0fC8+oCdbEKgTs20RQxx2tw6exL8ObsD7Ftm6NSqbdPhPlZjviIFfhj0jpg9o3Z+G3Ncfzzn++1NsS4bbAWEajAvfd9ihOFVR7bK/XUl+8CJFafgsvwxC3c+S5U/ABwd5XCpXD3dF9KSIgFVXuiIR8UiFk55MSLcGKZm5Pth47Uy7DlD9HRYSgrN0paN8QsCmLnmKTVjNePN0JB2DYYblTGWiueen87Hpy7BfeNYvHOJAPiI0MgEJwERvDhPgdvLBtibfn9cG2E7RXGoFfjZHEVbHYWV/TRQqMCnrxSj3Yto9E6NjAxXO64fagOLeIdAetPvr/dQ+sAIfK5WA4twamtf+Dopj+wN/cclm08hZW//g/2w0uCM0YlEClOKvlaqKDAuBhWhpNeRUUFYmJisLHsN0RGS6fdkwNZIS4s9q7ej52/7cSK3+93FtqS8+QbkBYnfKuGsJbA/9aewNtf7cUvc0chwuBlGRk3F1R5DYuFq8z4diuLyROykNosHGF6DXp1TESzOC+LYMnI3c5lpQIc88W9Zy64ml8vgtv2yfqlsrNLycGd4HDnuuguOxQfue5SYlXJ3bWTCuyWEgZi6W259MBcbQ6p8XJ1QMT6dldvQ0hRcQXCwrSIjTF4bOtu0S8mwvm1W9y1Fe4np10g2bbvNB5/dxvSoox46To9kmPrB/Q3GFKBvE1ddHh6j8GeA6WO78nHXuw4fizALK1H4bqHV0GnVaFFeDnW7Lfhfw8YMP4NI96dFIa+7QJeAq0eO49ZcdP7tbDZgR9eG47sdvFBXfy+u9yMd5eLW1nCdcC3swxon8y7J4TStSg8X7j/xYQGv61EquSQQGRsFVUmxF70OsrLyxEdHe12d7JsEAGl06As5B8twtbK86eaVE0DPnKtIEK3kcsGtUSntnF4YO5mmMw2N3uK4Obijgln8OBlevx8jw7rdhZhyfqT+PbPXIy+ewlmvboRm/4tlh9c5+Y4YovCbKbGKTyY8jLnwlYYPC43HmNVbq68cfqIlAgRLtbduYLx8SdGwl2KWimE2bYWHyxw9iFWK0Sqb7lB4gAQHx+B8gojrFa7eF+CWB5n4UcPQoBvCfElJa4SQuOPdScw69WNOH22Vlb7krNGTHtxPe5+aQNu6WfBJ3cagis0pAi1xUAgcLfA5lsCgrUoVeozELNWeQr09ePYWo0aCx4fhPAwLews8P5tYZi/0oIBmWplhIYPY+vRRoOxPRzX2dUPrvR/DH5gtbF4d7kZSdEM7r62E+6/VIf7L9XhgbE6jOmmQY0ZGPe6EV9uMKO0su6e6Y11i/9bDt6e455c8YTiQnieKZmlLBBw85G3QvYuDS6fKZj7wkKlVoFhGNitNiilbdmYWOC/zS5+5U6fdYbBK/f0xT2vbcTUF9bj3UcGeGfh8FChtWWCCl+/dD4V7rkKE35aeQyzX9uECUPa4LEp3d33L9OqwUf45JwpL3OpxcH9L+fa4oTGqtxcDMvIcD9WAdyinytsxxcB/l7TSgRduyss6A7OOiHF7pLDWIzzcSZ8wSFl1fAWnVaNqEg9zpZVIymxfkY1MRHqa6VvOftIWUN8YfO/JVi+KR+1JhveeTgHz3+4CyXnjEhOCEe3rHi0To7EscIqDOmVij83ncQ73+zDkEw7/npIh5iIEHgediGICjmEelCrUggXfu7u2fwn014uXpsB+ORpx37l1XZM3WHFVzM8WzYDyePj9Vj9Xw0qjMD6Jf/DwKyGt7AAgEbN4MDrXFr8EwBc01tf1sOK6Z/W4rmfzXjlf2YsusuAXulqaeuBFHKzRvkSD+SuH7HXpawhYv025D3J3XmdPhLAblndNLgbFUdjFRz8BRchj98e/RYX3zAU91zd3bnNkyuVu8Unt7hzuhHxFkZs/gGgUz9YSs/gwQc/Q9EZIz6aMwiRBh+KV7m7yHgX+6Hj5bj5ib/xxQtD0d6y8XxxPrFFnQex4eK+wnOj4r9nvtDgw8bEYvHBApd4jd0lh12EhdCqISU4pKwk/PNfSmyIfXbChTn3t5gLk7vjCtsKxyDHhUtKIHiqTr675DDeHDTYK4HhjSuV3c7iVME5JCdFQ6eT/pJvNJW+6zhWUIkxM5YhPS0K5ypMqKqxYPaN2SgtM2HLnhL8d7TM2bZrKxXuHKbFiOwQKzZHgiOwIqOxz68fc2Oy2PHS6mSczDuOj+9UQGz4GYC84l8LHvzahKeu1OHKPsGpYVNVy+LHrRa0T1ahf6b4vfCfozbM+NQIhgHOVQM926hwbT8txvbQQKsWFEz05vwSmzdfzk9/rxdPAjaQmcJkUlFjQ+zE3eRGRYQGEx+7Dl+89hOe+WANSkoqZMdsyIUf38CkdQBTXgadVo0335gEq82OTbtLvO/UiwvuuxVHccWwdLRvFeO8AUguCD3cIFxcZcrLnG5T3N/cdmFbLm5DKDQAuAgNudYMqeJ+HFKxEZ4sFFzmJ6HQ4BbvnvZ3V0RQars7YSG2v1RRw25J7Z0uVXLxxpVKpWIQEa5HeYU8d6PGQpvUKIzq1wIDujXHs9N6Y8vnEzDl8g64fEhrp9AYkKnG7w8a8N2s8NATGmI09af7DU1jzz7kBy/8YsY3fx51qejtF37O48iuWrx2vR4v/mLGxkPuawD5Asuy+H6LBfln7S7b1h2w4sNVZjzyTS2Gv1iNLzdYMPWTWkn35N5t1fj8bgO6t3a4fmW3VOOL9RZMXyRy/5RKkSyWBUuMhjo/xYLF+dv4blZKp3oO8PsLmthojMX9GuOYQ4GaKOC656/GP5v2YeSol/DazAVol5Dkd7/cQk74m0OtVqFVciTKKn3I7iEz44zNxuJ/a47jquFtvD9GHXKyBLExsS4+92xMLNCpn0sbYeE5vnWC7z7Fx5/4DSWvB29qa3grVN31zb3G/fb1PUlZMLyxbACOwoMs3BubQ6GKt7fcdXVH/PBXHj7//TBOn3MsBibc6/D3/fjOMHx8pwHtmodgXAaHWG78prI4DqX34019i1BAgUXaHUO1yG4Xh4WrLMoV1fM0Jg/fbSO7avHQOD2e/tEEk0U8jsxXTp5h8dzPJox7owZTFhrxyDe1uOl9I5792YQNh2zYeMgGiw04XcFiaCc13E1J+2Q1PphswAvX6rE9z4bPphnwT54Np856GLNStS7kpEQWEwue+uOvPzyJIyXFgidLih+Z+IJq2aDF+4VDs1aJuPrxyzF90V0wa1g8eO3L6NqmtUsbLtWtN+eFpyfHMZE6lFUGIG8476Isr7KgRXMv3AslLmh3Qb9MeZlTlEjVjJiUlSo5d8MyMlx++EgJDk6siLlLybUsuMvkJIWYlcSTm5ac14TjFAoNDjEXMi4zFYdY8UG+9YnDG8sGAOh1Gpi9TGwQquLjiz8OY8GP+wEAHdNjcN3oDGzddxqHt6wCcpdi36sROPB6JAZIuEmEJJwbZFNJf+su+02wFv7cwqkpzK8MWiaqsejpi3GgwI6vN1qCPRwn11ykgUHH4I9dXiZakaLumqlJGgCNCljxSDiu6KNBdgsV+rRVo3kMg//ybchpr8YrE8Ow4ekIzLvFAJWK8dh1epIKtWYW4XoGI7M1+H0HzyIjt4q3HPcpqQQJnvp216c345G7n5wxedu/n+KsEd3lg4tYITOK2/AefbgOo6cOx1dPfI/fF6/CFXeMdnldzI/fXcpST77z6Z0ysGvrft8H7OFmo84YA4NejaoaKwx6mZeTsHifh2Bc4QK23sI9OhzZcLhadUEZsusCmbl2Uu5QwzIy6gkNvvuVFPwUs54K7MkRGWKfuZRblrvjCf/nrk+xce0uOez1ww6+0JqUleoyZqk4Gm8JC9PCbrejttaCsLD6bhXcuSKMCfI1WDyQLFl/Entzz2HT7hKcLK5yZod7Z7kVI7rooJaxiAhJghGkqSRSix+poNVg4SnINpTw060lqmglXrp3MO5+YTUGZKnROjGAVj6ZrjgMw+Dqvhr8uNWCK/v45uJVYWRx63wjxvXU4MZWNuhOLEfuTgtiIxgkRKlwUQbwznIzlu6yYvIQHT68XQuDzvv7QvvmKpw6y6KshkW3Vmos2WXB1BF18SbenO9C5F4TfHHsrl9PlgM5Y/LXhSpI+wY9ZsPbJ9nBQE6VYkI+DMPgnucn4af5y/D2w5/C+M+eegXS5BRNkxOkOyxLgzXbC2G2KPh0hk/uUqQlReBUcbXPXXILRU9F2QDHolY4N9zvPdGpsp+kc9YNuTEcnkSFt3hj6RBD7hi4dmLxIZ6sNFKii+vT3fnHWTl8ESDxsRE4faYKNlt9VwCxit6hyrHCKrzzcH90TI9BTXUNSssc7ox3j2gEMRmeCMUFrxz8WXiFCqE0VgUtXH2ym+HKPlo8+o0JdrtC7lRCvBzr5b002J9vR95p374/DTrg1Fk7XvmfGV2v/QkPfFmLOT+a8NoNYfh8vRljX3PcQ5c8FI5pI3Q+CQ0AiNADNjuQf9aOt/804a7hdUKjIVLICs8BX88HKcuKr/VdxOJTgnjtBF1seIL/hFPsp6GOTyhLKWPES989BCZKixn3fI6lS3YBcPWh93ZByg+c5hbrLZIi0Co5Ej//fVyxsbu4UWSMQY+sBKzamu9zd3JqJbD5B1yEBDc3XSoKwJSXOYPu71u3BosPFsiau1W5uS5B457qdHiyJHhCblE9pZAq6Mc/nlBwcNYafsVwri+p9ysUFVICQ64QjIzUIyJch4KicphM0gGaoSg0WJbFx78cQMHpapRVmLB782Ys+u0wzlUDN/bXYttz4RjdrZGLjaYiNLhtobR4l0sojDsA/vL3zRiH8hoWH68JgDuV8Im4jDFHhavQN0ONNf/5Jja0agZbn4vEp3c5Ct/+vtOKq/po8cpvJvzyjxWfTjXg2avD0Czav6UowwBRBuDZn0y4qq8Wg8aOc7wgJ6bCH6Sqf8u5R8gRqu7OLbn3IbnnZ4DdQ0NGbIgJCDkZbkgMNF6KbdXof+1FuOuZG/DKW8tgsdhEi6Zxi0OxJ70cLos9QcD147d3x7vf7MOrn+5WLgCPx82Xtcf3f+XBIlGQTSn475E/P5y1o1dmO0we6LhR8J/WS4kIsfgNjlW5uc4n+8In/8Gy6vGP6y5mROw1OXEZniwdgH/3G2+sHPFxEYiLCUfx6QpYrApZ5QLI39sK8PKi3Zj01Bq8tngPht25BJHhWrz/l0Ms/TjbgCev1CPKEDJfOY0TqYWDJ9eNYC/MA0UTe196nRqvXB+GBX+ZcbBA4evex7nq3lqNncf9G0u/9hrseikCD4/T4XQli2v7afHtTAM6pSnjLsYwDHq0UeNIsR3hOqbhzgt/BXyw3KGCQEje+UPFtSoUxnAhoGoZgfCIMHz612GXOAz+gvrDpQfQudODHp+CC58eM2kd0LtTM/z85kis2laARb8dUnz8ma1jkNosHN8uP6p431J466Ijt7o415YTIUoKDiUsGGIFBT0h5o7nyToaSEHFxsTKsnJERuoRFRmG06VVbkWyL5XBlcRssWHaixuwaXcxIgwa3HtTNgCgXaIVtw/VYt+rEejcIoQzTYnhqRBYsL/o3S1ylMq0E+o0ZJB+A85r9pDLcNdwHaZ9UouSCscDrEqjHa//bsJlr1Xjie8aNjV277Yq7D3p/4O0MC2D2wbr8OZNYbj6Ii00wloYflJhZNEuWYVjpV6MVYlzSOq8ELpWCY/lrSUk0ChppROh0QeIB2pRQEKj4WAYBh2GdcSP85ei+8BO2BNhwKkjhSg7U4G2nVrhdMEpvDH7QwCe4zSkit4lxoZh4ugM7D50JiDv4aVZfXHz43+jW/t4dGkfr0ifwsBxNv8AENOv3nvj/s+OqdtQF7zNvzYmZaViMaTjEKQyMPGREhzCQpfBvHbkJG7gFxiUCkwHgE/WL62XhQqoe5+Z7fyuHC4nqDw2xgBjrQUVh/cgJrPr+X1550awg8O1GhUiDBocPF6O5oZKzP2iEADw4Dg9erRppF8xvqYOVSJ43FMQKddGuFgRS4vZlJEzT0rBn99AzmtdoPHtt4/HyTO/4PaFtfjozjB8stqCNblhMFuq0KaZn8+IvRx/l5YqnK5kcbrC7re7U6D4dK0ZRWUsHpugx/y/vMg+6clFyV/Lg9x4C7nXfCMmNM8cLwjEwoaERsPTdUQ2DM0i8Pj1r2HasMfx+E2vY/4zX2HKgIfx6MRX0f6iDHTsLf25cHUo3JF7qgJZrWMVHrmDrNYxePKOHpj6wnrknqxQrF9hxiGxgn5AfYuOt+6IXBE/7kduvAIgLvgD7Wrlr6uTHKHAzYHU+wtUrAkfhmEQHxuOsgoz7KccWdVCLesUwzD4e+FYZLaOQVXdQ9f7L9U1XqEhB7En3b4uBuT0IfVE1N22C5VQeErsD7lLwTAM5jx4Obq1UuHKuUasP2hFpKoaMQYGbZMaNoubXqtCfASDkooABa37yeEiG17+zYxe6Wq0TXJYNvx2l/b3Cb+SAqGJXNtN4tuA0tA2fhgVg3Gzx2Dfmv1o1joRyRnNwagYWM1WmGrMiDZp8N17f0jvX14GFuJBuNyT31H9WuDx97bhhkszEB2hU/w9jBvcGpU1Flzz0EpcOrAlbr6sPbJax3je0Qu4SuFdcP7pNrdN7En9pKxUADVYfLDAGdPBXSueUtz24llIOMEhrHchjHOQW0lcDmKWEqEVhftb6njeWB/E0vm6G4vTwlH3Ect1a5OyvkkRFqaFXqdGRbUFsQi+JUOMt7/eB5gqsKOIRVo8g9uHNvIgcG/wlAqT34b/hFzqabm7Yl5NZOHRKFGqarNM1GoGzz16BdZsL8S2DVvQvbUKP261ouBcwy/6DTqgujY0xUZGkgof3RGGj1dbcPMHRiguxeRaJ4TtPD0g8KZdE7juG71lQ2nIqhE81Fo1uo7IRkr7ZDB1Ofg1Og0iYsNxTlWLYwdPYXOZ+A2PW3zxF3DOyuJ1rw3qmYw+nZvh2YU7cc+rm7Dp32LF38MNY9rhj3dGIy5aj1ueWI1JT67Gyi353j9p8XBzYWNi6xX48/Sk/ZP1S70S5fyFt1B0eIO/7kZicRpyLS1ic8LPeMYF1gv3E4MvRoTzsJcN9yr1sLcpcWOjdCivNMN0bJ9zm9Dq1ZB8ueQIrrx/Baa9uB43Pf43lq3LxeOXa9ExlcH3swxgmEZaQ8NfPNUwkJMNKBRiQhoLSqUd9eZ4DQHv8x/cKwUPzLocLbsPRnwEg1NnHd8lGw5Z0eGBKpyuCGxiEgAw6BhUmwJ+GJ9QqRgMzNJg4e1huLyXBg+P1yt7//Eyg5doO7mF/JowDCtjFVRRUYGYmBhsLPsNkdFeVEpuQJSybHhTgZhoWH544Rf0u7grJkwZJbqAZcrLRAvkOYVIWgccOFyMCTcuBOCoLv7580OQqbD1gcO4fwn+t8OK91aY8dhd/TA6p4W8Hbmnoryno0JhIRRVYovqbKbG+RR98cECpyVDGIvhLo6DW2DzXas8BVWLvS5mdfGE3BiQT9YvdWbhkkKqknk2U+OcG6HrGH8Mwu38PoUoUdxPjIrKWpQf3ofUbj2gKnIkOqgX09NADL/rDzQPr8WYbhpo1UCrBAaTPzThtRv0GNfzArJq8GngJ9+EgIZ2nxKLzwlEDYc6ht35BwpO16BFPIOf7zWgz5OO+8/+1yICLu5veq8G1+VoL9xr2xO+nHtyz5VAnl9+UlFjQ+zE3SgvL0d0dLTbtk3GstGQFgkSGsGh74Te+N+nK3HudLno69zTfnfb7HbHU6CLeybj3ukjMPWF9Th9LjDZPQwdL8W1N47H4IvSvSv6x386KkBYtZoTIPyFrzM4/L/NTiHCrxvBj80A3AeHc0JDLlLXYSDjG+Rk2pI6vq/j8tda4wvRUWEIb9MBRSUVsHiRXSwQzHswB4cK7chuqcLlvTWY/KHjseeoLo0s65SShNhCoMkjqHcUdAL8+T9/d28AwJlqFR762nG9PT5B1yBWRIdlIzTdqBoNvlg7pAiF891LmozYABpOcCjpl07Ip1V2C2QOaI8nb5uLbVUq0YUi/+l/vSDq/AOorSuStvvQGVw1rhsuGdUVd7+4HjZb4G6keq0KtSbv8pRztUL4NUOY8jJ0qSg438bLJ+ic4OAvzvmiwxO7Sw6LZ2bi9S98zR9hLmVdcGdtkGoDSAsLbn9v5kKKQFk1OBLiIxBRcQIFu3eistpyvuCjhFVDWHNGKbLbxePeMTrc+4UJby5xLHzeuUUPvbZJfaUQoUooLbYC6fbG63d/3jlEhmtgNNmwp8ARbjuSL+49CS8/hFmEHqgJUTcqb3n7TxOW75EuluoTvqaNFfsshJ+TWN+N8MFGk/tmEPMpD5Qo8HYhReLEf4bdOhixSTF4Zuo7sFltsp5Mc9YNJq0DOmUmo3VKJMqrLPht2V48OHMEDp+owNmKwN1J09OicOSkuDVGCm7x6GkxyYd72s6/BjiB0qWiwBmfIOc8FFt0S1kQPGWj8vY6EQoYd4HpUnh7rXHvTZiBiv9gQRijESxis7oiJdGAskoTKqtdKw0LxQX/3FFadFw8ejjKalT4bL0NyTEMRnYlFwuiAQi20GjomJq6Y323Ig9VNVaoGGD8kFbomB6LcXOt2Fbb2/Oc+OmKE65jUNVELBvvr7Bg1uJavPSrCYVlCse7+HJu8j0Z3AWZe+oj2NeFB5qc2BAitVhw1zaQ4wgFPBU0C2UYFYPL7r0ExkojPnnxO9HAa8664bLoqtsWFqbFi89cBQD4dPEaqFQMNBoGdnvgbqQDuydj/c5imC3yrBtii0L+Npdq6XXF/Zy1NuoK2GUzNc44D+5nLxvutDZ4U+RvVW6u6HY5gkJ4nskRHp7OS6XcGMWK/XHWG6lgdE/WGrkB4v6i06rRPMGAsxUmmC2OL0ypLFXcuaN0TMcf609Cp3ac04umhinaN0FI0gif6irBt68MQ5d2cbCzgEGvxc9vjsR1I9viyyVHvBNAPixK46MYlIZo6ltvqDCefw+L11kw9PkaTF5oxDcbLVi51wqjWYGUuVK4m3clCwuGKE1abHizmPZ14S130S4V7BqMBX9jjznR6rW4+onLsfXvf/HbJ39hLxvu/AHOpxblpxflL9B7d2+FRe/eiDlTe4LNP4BObePw86pjARtvq5RItE6NxG9rTshqz7dqiL3G3y78nykvA/7b7Pjhb4MjkJpvsZAjOHaXHMawjAzRtt6c9/7sI7bf7pLD9bJrSQkBvgDjb/Pm+GLjEFo3Au1CxcF93jqtGga9GiZzfRGrZOB4rckqKuqXbTiJCiMwvLMa6c3q3DkawRM2ognQkIsroRtLMM7v3KWILVmF718bgQM/X4OZEzsDAK4akY61OwpRY7KfT1DAH6fY9ejDvLVJVOHk2cBnvQo0NrvjfrXorjD8ONuAQVlqbDxkw9M/mTD901r0eKwaP22z+F+nQylCXEB4Q5OosyGG1KJGqZocYqIhVBfxct1OQnX8YoRHh+PaOVfi68e+g9lkwfjJI6APc9TO8PR0mY2JRc7InmDK2wIA5jyRgCtuXoi7ru4QsGC7J27vgTufW4cTRVVITQxHRLgWcdE65HRpDrXa+2OKPsHmhBXvCTcnvADUi9Xg/78qNxfDMjJc+uMLE2F74HxqXHdWDaXhjiWVGUssroRfg4T7zf3NxxtrjxTe1tDw6Rh1ny+T1gGqsl2w130xCs8JpQRHn5t+RUKMHn++fwn0OsdXRlFpDQ6fcLgGThtZV7NGLAVpE/qyJEKMQC/6G0HxxPS0KKSnRePPf2twhV6kVgsfP8ae3ozByTMhsgD3g7gIBu/dZnD+/+EdBpRW2lFeAxSV2zFlYS0e+9aEhavMmHdLGLJSRBJeSN3b6CGLW5q0ZUOKQFgXfPUhb4gFvi9PlxsD8alxuO65q7H/nyOYfekz2L56T702okX+eG5HAKDXaxAepgloVo/uWQl479EBsNlY7DhQiqXrT2LOB9vx1ld7Ze3vKQDYWVOEs+gIBAcfTkTwxcSwjAysys2VdJkSIizmx/0tJyhcrvD1FBjOwRcN3ZLaO9tx24W/OfjWMDkIx8T1JzyfgIZxp2LzD8BktkGrUdXbLsSfeI1Jl7VH0Rkjxt2zHH9tyQcAvPvNPtjqHnRmt3CTgYq+gIlAEcig7BATFU5ExnXpwBb4/WCs/LgNH67JKIOjvofF2vitG0ISo1TIaK7CgEwNtj0XgYk5Ghw7zWLCG0b8+a9IILnU+RGq50yI0GQtG55QesHtqTCY8Cmw8G93+waaQFlpGuJ9JbZMwKUPj4H9VA3mP/klNvTvgKnP3oieYa6Bs2JPm7ltsTEG2Gwsjp6qQNsW7nNF+0Ofzs3Qp3Mz5//FZ4y4+sG/0DE9FpcObOlxfym3KgBg0MG13kZ0OLL57lgx/XBrsqPwHCAeAM4XHEIrBx+xz1PM8iGFnGvP0zko1odYDQwxdylhzQ9+RXXhe3BJKSzRRkig3an454HNxkIjYhlTMij8tglZ+HzJEfTr0hxPz9+OVxZuwpkah8CYfYnDqsFcfG+9sTmh+hNEoJD7dFnKBaoJnJcTBrfBwh8P4K9ff8OICePFXb78zGT06VrH92lROYuWCf6OOHSJMjB4+qowTLrYjjGv1ODDVWaM7ur7Mlns/uuVlZn/+TXyc/eCtGw0NGJxHXJ8zYV9BGpsge430JaU3lnt0Xd4N8z9/UkUHC3Cut+3ibbj16XgExUZhpyLMrDz4JmAjlNI8wQD5j2Ug6fnb8f+vDK/+mLzD4ApL3NZHHMWDyatg0sAOfd5dEtqX8+aMSwjwyk6+PCzNPE/T3epYvmWDiXFq5ibFB9fLBi7Sw5jVW4u5m5aJtmPcBzeWEWUtHTwv8CiIrQ4V2H2fHw/3KgSYvW4/YosrNhyCkajCRY7MH24Q+Bc20/j7L8hiwoShCjcAsxdKlJf05SGKIlxYXh+em88/p0JJ7f8Xr+BAu/z2Gk7bhqgRYv4C2PJmN5MBYYB9p7y3ZIj9aBHmNJeFkpYiINsZb4wzpwg4enpq3C7u0W53MWacJHvbZC8rzVE+BmupN53oFMQR8ZEYNxtI7Di23VuF4LChR+bfwB6vQY1tQrn3pZBzw6JuOeGbDw9f3u91zzdjJz1NwS1ODj2RKdiLxvukpGKS4UrrLjNiQvutzeWDe5pvzvh4ctnL8d6IfYjhbs6G5MHjsG9OZcAAOZuWobth47UEylcnRJfhZMSgkO4qI+K0MJYVzvG3VM0fy0cMyd2xsZPx2Px88ORkBCLPFMaRvVLQ3xk3VdIE1m4EU0A4bnYyOsTuCCxYBzZrwWuGpmJmz8CvlhvhqkuQ50S79dkseNgoR03Dgysq3EoYbezaIgYcdn35cZ+3oLEhuJ4Gw+i5ALcnZAJJA2R9UsufUd0R8mpUhzdd8IrwdEnXY9Nu0sCOjYpxg1uhf+OnhPNKuQOLkjYZVtMbL0FNydA9rIONyquzaSsVKclg8s4JSUyPBW7E4sDCaTA9LaC9/ZDRzzu0yuzHb6YNAPDMjIwd9My3LT4XafoELbzJGz4uBSaVDiWw25noVZ5XgAoYXVgGAbZ7eKR0SIKm/8twfLN+e53aGJPkAkilHlwUlc8ONqOX/6xYsjzNZiy0IhnfzK5ig8f+GuvDalxzPmMc40Af1PZ80NTqmp960sxay/fWsf9boT3VBIbAcRTsTOpNhxyXZECXUPEV2tMMNDqNBh+1QCs+HadrPacm9GQsQOxeY/8WhhKEhWuhc3OilpWfH0inc3UON2X9kSnOl2s+E/s97LheHPQYEweOMalqJ0wSxWHpwrbQpcsvvtUsDOdeXOeTh44Bl9MmoFdt052Cgsue9WkrNR6IkPKPU8MoaXJW4Tng9XGQlUnNqS+2JR0byqrNGH1P4UI04ssPIRfghQcThDK4sY1jDm6DGN7aPHD7HAsnBKGUV3U0GmAz7bo8OUG3632S3ZZMbZ78Ap2FpfbsfOYDRab+0W/2crii/VmXDuvBp0eqsbQ56t9qpvBsiz+PWFHVF3pILElAcuy2HzEioMFghfrPhtP39uy78nurHR85NxrgyxQSGwEAG8yT8ldBMlZrAUi7kPMrSoURQb/vY+4dgDW//EPjFW1bq0b/NciwvUwWexgGAYV1Was31UU0PHyYRgG7VrGYP4P+/3qR7h4deeGtP3QEXyyfqlzDsSEBN+1Sig6xOAsJGJ9iY3Fn3gOb+Il+CJL6nUpK4W7QHOx/vhZwTj4rm0uMTW87d6ID/4XmaFu0X+uwiRrX3/5fsVRdM6IQ6tox/sQzUcvfBJHEISy8K2GItdZl1YaXJejwyPj9ZhxXSd8s12HsmrfrBtGM5AYFRz3KZudxeDnanDnR0Zc9GQ1Hv66FmU1IoV8WRYT3qjBq7+bYdAx0KqBrBQVtD4YY/JOs7jpfSMqa6Xb7Dxux63za3HdO0b8/Z9AyOUudVsji19HS1R0+GIRbgT3WhIbAUaOwBDL2uTNYt6bJ8j+uDwpJTICLVSat2yGjOxWoqlw+fCzEh0/dRZpzcJhsdoxZvoy3P7MOmzbdzqg4+RYu70Qh46XY/H/DmPTv8XO7f6YYbn3NSnLkX2Ky0LFLbw5uMWvMMOSmEuVmOjgb3OXpckbYeGN+JAjOvay4W6DuvmxGfwxeupbzMIh9htwFRZi/XqTwcqliCPDICnegMpqS4PEHO04cAa9ks8hLtyx+KjkKvI28kwpBNFUGZu6D52TjLjlg1qcqfJecEQZgAofXYn8Ra1iML6nBldfpMUfDznum/csrq8CbHYgNU6FlFgGYTpg4e1hmD/FIJqpzxNtk1T46V4DurZ0LI/3nqxv2kiNZdCnrQq1FmDaJ7X1LRx1cCnofbYuN6EiqSQ2AoyURSBQ1gF+v8F2XQkmGdmtceJwAQD3i8ZspgZsTCyOnzyL1ilRWP1PIc6UO54SN0Qs3Op/CvHgW1vwxn0XoXVKJKqNnheMcrJZcE/rhe5TgOMc4YK6Fx90zJFYzIU7OKHBsSo319mn0BWLj9y0t3IRprEVwr3GzYfQwiEmgHaXHHZu59oKg8WFVeuFx1x8sACLDxaIuky5i/XwxbVKq1GhWXwYSs/V+u2r7InhF6Vhw0Eb6mr7obSq7ngkLggiJFGrGLxxYxiyUhlM+sDoqDbuBZF65vxDhSAwc7QO3222QMUAj03QY+dxGw4XuS7uNWoGH99pwJ+PRGDBFANy2vtX1aFTmhrv3ubwo9p5rL6QSI5V4bNpBkwd7nAvm/CmEacrBPMqYeHwCF9cNCG3VBIbAYCfHlSY4tbTPr4UHPQm61WoEOjxpbVNxqmj8l2hTCYrwnRqvP7ZvwCA1++7CF3bxwdqeACA3YfO4KG3tmDeQ/0xdlAr/Pn+GIy4KE32/mI3Mv4CmP+0XDjfYpYMsaJ+YgHj7gr/yRUr/ghh4WJdbqC20HrBr3PDiZFJWal4c9Bgl+uXv5+c98BPL8yJOT7c56JU3AYAGPQa6PVqlFd5ToPrD306JeJgkR3qum+OM5WNv6owQTR1VCoGr0wMQ1K0Cs/+5N09oqyGRYWRRVFZcAr6tUxQoVOaCntP2hETzuCx8Xrc9L4RBwsDG1+ZFK3CgdcjMesSvejrDMNg5mgdnrzCUWtozKs1OFctePiiRDC3UHA0UtFBYiMASBUk8xTkLfxbrkuUlKAJdcERSBiGgYpnmvDkEpOYEInTZbUoOF2Du67qgMsGtYLOF4dPmZw+V4uZr2zEk3f2RL8uST734/T/rCvo502WJOD8U3zgvLDwFAguhZzq455cqeS6WnmbjcrbfbpUFGBSVqrTDY0vIPiIpcgVIuU2xZSXeRV74rK/iOCIi9Khstoi0lo5WiVHQqPRIsrguLYOFja9isIE0RRRqRi8cr0eaw/a8MdOefeJyho7tufZ8OUGK25dYAzwCKXhp9yd2F+Le0brMWtxbVAtLoDDanTjAB2evkqPqlogZ041tuaKiCAPosNosuKlT3bhmz9zm6yVmMRGgPBUyE9uH/zfctoSDkryz6BZqnzLRFpqDI4VVOKrF4Zi9o3ZARyZg59XHUPvTs0w7uJWLtulXKTEtgv/5xbTYv7/fBci7gk+4Mi8xAkLqTgNKYRt3dXmkIsnoS1HMLhbwEu5NQr3Ebo9cfPGCQtOfPBFGb8P7nWx65LvWuWLaOIQniM6rRoMg4BmVGMYBv27N8c5jaPi/bqDDZ+9jSAuBJiL73X+uH2a7cWT7mbRKrxwjR7P/mzCkl0WnPUQw/HUjybERTgW+veM1sk+jpJUGlnsPWlD5xbnl6vX99ege2s1pn9ai8IgWVz4TMzR4rEJjvm55QMj5i0zwSqWPUtCdPy08hhWbM7H0/N3wGyVEFDCwHHh5x7iVg8SGwFGqUraUgXzKD5DHIYBys5Uym6f3rUd0tISUHLO2CCFi8xWG5Jbu7pM+VN4jXtSzgkNvuDg/uYsbvz/OfiCw1vciQxf3KrcXSe+WALEAuKl/ucfh2+xyGZqsPhgQT3Rxi/yJ2blkLI0SQWEc6lxfSVMr0Gtl/VavKVfdhLySxzvac1+m+c4Ee5LMIS/CAkilGAuvld+Yy+fhA/trIGaAe77woT+T9fg2Z9cM9nZ7SzeXW7CwGeqseu4HRq14/oe2ik4dTaW/WtFjzZqJMeeX64yDINnr9ajS0sVJrxRI25NaGBuGaTDikcd9/6vNlow+3OJdFYi90FDxX+oqa5B65RI1wxa7u6dYmlxQ9gqQmKjAVFKEHCigwSGNDmje2LTMteq3J4WqtfdOBDfril220Yp7HbHDVNKYLgLLOOn0JPKdMHmH3CJCeACxXtltnNu4xbCvggMfnzHqtzceoLDX0ubv/sLP2thJXAuTsPdvsIgcW5Mk7JSsf3QESw+WOBW7HuyWvBjN+TuU68PwfkTplPDWBvYL95WyZEoKKnGmAEO68Ye9iLpxmJP3wJNYxE1cgVYY3k/hGII7+n+PIgScrLUhlorcPNAR3DzVxstqDHZkXfahr2nbLjpfSOW7bbirZv1uKqPGoeLgIvaqRCmC85ycckuKy7tXj/gW69l8OBletwySIeluwLrPiqXD/92xMNYbY5iiCaLPOtGcgyDshpgQldzk63STmKjAVHC1Ykf3EquU+cRzkVYuB46vXeFiMaO7YE9+wtxNF++RcRX7HYWqppzAOq7Q/G3cdv5ubnF4G8XthEKDucx6mIG+JmohFmm5LpGSaW/Ff7vSywIH7mLcWE7d8Kcb32QEqRiVcR3lxzGJ+uX+hzjIuybb5nyBv65Ex7msGxYrIFzLWiTFomC0zXo2zkRALB2h0QiBqlFcqAXzw35dK+hhAAJjgsS5wOltXMV65NhALDA+J5qLHvYgEFZagx7oQYT3zbizg+N6JCqxo+zDeiVrsZ7KxzZER+fIB4k3RB0baXCp2stkvEZ3Vqr8O/J4LtSAY6EGZ1bqPDxnQbseikCeq0b4cBzi+rXTo2lD4c7s1uJtQHQqC3EJDYCjNLWh0BWCm9IAm2V2bP5IFI6pNTb7s66ERGhx+23D8XNj/+NpRtOBnJ4sNlZqBh5lUQ9pbnlqPc0TGThKrZNmIlqWEaGi9XCHVwhP35wuRDhNqmFuZzgcG/dqDgRwb8uvK31IVV7g195XWyc7sYqzEQldJ3yxpWK/7mr1QyiwrUoLasNmOBITgiHVqNCknkfAGDj5rrje/gidDmHG/GXpgtCYSPXZYz/uqf2IewaQQQO53Wt8OffIkGN+y7V4ab3azH2NSMqjCzeuiUMW56LxMZnIvHUlXrotSqs3GcFC2DaCC0yUxrehcpoZrFojRmbD9twuMiO3BLx+1mvNmrkldiDli2Lz3u3GfDj7HB0b61GmJjQ4N8feNe8SsUgvZkKKlXTtGoAgH/JiAmPBGrx31hEhTuUjDcRWnp2rtuHtj3Tve5n6rQR6NQmFrMe/t7pJhII4qJ12LLHUTSQzT/gshCrqjIhv6gMWe2a19uPKxIkhVQ63OwY6TgBbvEvFhzObZMSHXyBIuyPQ2xBztXkEMOT1Y6Ll5D6X4hYX5+sX4rJA8fU64c7vrtxiblkca/5mg1uLxuOLiiT/N8b4qJ1KKs0I7+kGmoVA61GhcgILSLCNIqY6FUqBhf3TMG2o4XQaRzVdI1pI2HgGnBforlLnX9LnrcZYxp+Ma30Mb0VTZ4sPmICxtvxSvVFNA7EzgGx7T5y00AdBmapEW1gEB8p/sx5xqeOWI67R3jnIaAU+07Z8ervZrAsMKGXIyBcDJUKiI9kcLjY7hLXEfL48lk24uu5EX0yBIe7p7Ry63oEm0CIpe2HjqDoxGlc03Eadq3/D+16t/Wpn14Xd0GtyQqWDVxavetGZeDAsTIs23gKQJ25nGWx5re/0WvYqxh/w0LJffkuVsIffhshfHcqprzMmQ1p8sAxku5SctLZcniK/XAnMIR4qjguDMLm48nVqldmO5/iVPhpgsX65H7LPbf5weeA4/PhKr37A8MwiIvWo3VKJJonhCMyXIuKKgsKS42KFf27dUJ7/LDFggGZjq+QzXtLxC1wEl+OXDsmrUPDuiJxx5JjeZAZTyHX8ugJZx9ix/Z2jkI8WJTwkgB8nm2aqSWFxlPf1yIxCvj4zjBoNcFZJvZuq8bbt4Qh2gCcOmvHgpVm9H2yCqv2nS98a7aymPpxLTJTVLgoIzgB7F4hdIu6gCCx0ciRSuXZmFByzJuW7QDLAs1S4xGbHONTH+HhOsRGG3C8sEqxcQmJMGjwyqy+eGbBdkx6cjVufmI1Box6DXc+vx4A8OG8673qT8rawU/Z6tJeEJQstfiWEiEH/8lzadMtqb3TouFJoHDHaogCgED9jFBcoLywmrgcpASHUBhJpdQVjkv4N/83P0WuO7cql4U7fzvDQKdVITJci9RmDtengtM1qKg2w2SWkUXKDdkZ8ejXPRUWXTMAwJY874LSPcUgNQhyXJm8cPfyV3DUm4um4GZGNEpOnrXjsh5aDMgMrvPLyC4arH4iAhNztCgqsyNCz2DBSjMKztlRY2Lx/C8mGC0s5t0SBq0aAX1ASPgHw8r4dCoqKhATE4ONZb8hMjqiIcZFKERjCyT3d2H50vg3AACDbx6I/tdcJPre5QQZT536MUZlR+DKYW38Go8nKqstWLOjEGfLTHjxk12IDNfgxRl90DE9FsldukOnk3ezF7piObfzFqmc8OBnQdrLhqNLRQH2RKe6zL2UEJASEkLBwRcvUpnTvEm36+kc9qVehdA6IiUMhPPSLal9Peui2HZfx8tZnfjjdFdDRYi7BXxNrRWVNRZYrHbYbCyiwrWIjdL55Ct86Hg5Jj6yCjW1VrRMi8VfP8+sPwaeK5UoDfGEz9Px+a9L5bB3gzCJQ73+vexPkgvwaSjRcNSa7Rj3uhHjemokq2YHG6OZxVtLzVi624oYA4OWiQweHKvDjmN2fPS3GXYWeHliGHq0aQRWjiZARY0NsRN3o7y8HNHR0W7bkmXjAiGUXar4+COMzhY4sjupNCp0HJTlX12TnunYecLquaGfREVocdmgVuib7XhCPLhXChb+7xjG3bMc101Z5FffbP4B0QxHwiflnxbVOM8PMZHBFwNihfz42/hWC64vT4JXjoWDX8tC7Fz2pf4G3+Kx+GCBZDv+2Ln3x3fzEhu/p0ru3Hj5geRSdVL47d1ZOKTSIPMJD9OgebwBLZIikJIYDqvNjoLTNTBJ1OZw97Q+s3UMhvROQWS4BifzXcfr4hLEdx0Q/gQbBeI33M57nWVEqlhnPdzMi8fibgThIxU1dvx70oaTZ1n0CWF3JIOOwaMT9Mhpr0Z6EgO7ncWk+bX4bbsVV/bR4ngpi+vfNeLTteZgDxUAYLWxOF4a/MD1UIDExgWCtwvvYIsTX1zCyvaVAACS0hIQlxzr1/F79myDHf+eVDS/uTs6pMfitdl90T0rAdOvaIvVH12Gg0eKYaxVLn+4cPHLLWh3lxzG3E3LXBbN3KJ68kB5ixuha5TQAiI8n9zFTUilklU6U5VwPEq0EcIXHWICxFPKXX4bpdFpVUiKNyAmUofiM0acLKpCaVktKqstqDZaYU5sB6vV7tY1Ydb1nWG22NG+ZTQqq0yS7bxGqWxVcutYiBXICjZ1Y+BEilPQNJVMXkTQOVRow+iXq9H3qRp8utaKA69HIqd96OcNenmiHi3iGeSddmTS+nRqGDYddjww6ddOjfl/mbH3VPAL/eWdtmP0yzX4Yr35gnfxIrHRxPHn6b6cVKSBwJeq66ydxbfv/A4AiEmN9XsM2V1a4lRBGQqKyv3uSy7jBrfGzWPbY2ifVMRG6dCuZTS++G6brH2FokjoVuWuhgN/0c+5AvXKbOcUGkIBIbRm8NtwuEuFK/aZ8mt9+IpwUc63HkghV6B4GwAu7FcYnyH2v6d0t/6IKXdERWjRKiUSzRMM0KhVMJqsqIpqhdNnqlBQVIYTRdUoPmtEVY0FNpvjC5M7t9qkRuHJO3og/3QN/vr1bwAiT/pDfXHMCYsACgx3BTidx+Yfnzcm4X5KBaQTFxZ/7rbgjg+NOFriWIQXnrNh/BtGHC9lMaGXBu9MCgvyCOXDMAymjtAjXMdgyS4rWBZ4aaIesy/R4dEJOlyXo8VXG4Jf6K9dc8cS+/lfzHjt99CwtgQLEhuEKNyiKtjxHnLFzs5luwEAbXulA4x7kSJn0abXa3H9DQPw0ks/wpLUHn9uOhXQQmlivPVADr76dhMeeeZXVNd4d6PyZjGyu+Swi3jYfugIshmHa9Un66UXYFw9Du5HKBRW5ebWs14IhST/dWG2KnfCQ8ytSsw1SbhN+OMrcq4Nuf1zYxGKQU4gcsUYfbVwSGUsE6LTqhEbpUNSvAHJzaPRIjUWrVrEI7VZOAx6NaqNVuSXVKM65nxK6ZpaK4b3TUNW6xioVSr3blzeCA4l3Kz8FTj+jkHO/nLb8JDjLkcQHDY7i9JKO8J0DNYdtOHSV404UWpDSpwaX9wdhhWPGvDK9WFQN7IaD9EGBh/facDOYzZcPc8IjQqYOkKHrBQ1JuZosXSXFUZzYKwJy/dYcc28GrzzpwmnK6TXBQzDYPUT4VCrgE/WWLDxUOBds0MVEhtESCNH7FSdq8aaLzZApVEho1c6CvcXwmJ2/1RDzmJzxoxR2J1bgc++3Yp7Xt2Emx7/G+cqFHQV8UB6WhR+fnMkqs6cwVWTPsKBQxKVmr2Av4AF4Ex9y8Et8JnyMhfrBuBa7E8OYpmsxLI2yRUYfPcqLiuUsFZLoJ7++4pQ+IiJHzkIPzfJdgF46q1r3QnRETo0TzAguUt3nCuvQfHpSpTo0nA2LA0MA1TXWpGcEEJPRoNtSRGzUvjbH1+YhIKbF9EoePV/Zgx8pgZtkxhMzNEgLsJRlwIAerfVoGVC6MZoeCI+ksF3swzIaK7C/JXnv/NTYlVIT1Lhr72BWdzvOmbDnpN2vLfCgkHP1uDZn0woqxEXNsmxKnxxt6MK0eSFtTh2+sKM4SCxQYQ8Uul9ub9LT5TCZrXBbrXj9PFSJLRJwAdPfCHLR9LdYi8yMgyPPHo5fvh1JwxhWkQlNcOXSxvWrSwmUoe3H8rBLZe0xs3TPsfmf455tb+Yaw63jY2JxeKDBdh+6Ai6JbV3LvonZaU623Cv8eELDm/rc8gRj/yxuGvDCY9gWt84seRpvPzzjMsuJfzxF2GdFXfCw1tRwrXV6zVIS4mFNiEerJ1FcvNoxHfshooqM+KiQ0BshILIkJuBylfBQEKDkEFppR3l1TYsXudYhNvswJwr9dgwJwKRYU1n6adWMbh3jA4/bbPg1JnzC/nLe2uw9kBg4jauy9Fi3i1heGCsDgDw1UYL+j1VjR6PVonGivRoo8aCKY774yWv1OBs1YUXv0Gpby8QGlsKXG8pPlWK6SOeBAB89s+beOKGN9BneFdcf894WftLLfYsFhsGDpiDLh1SsH7LUYwZ0AJzH8hRbNze8Pe2Ajzy9lY8PqUHxl0/yqd0pUKEYkTsyTmXFlcsdoOPWK2Ne3Mucb4uVjGe28Z313K3cOe7WvHTzXLnNz+FrTfB10pbRNxdb/zXxM47OeltlcKTO447QcLGxDrH2m3gi1i54FIkxPIEh1RaWaURqVguC7nj8TV1b0O8d4IQ4b3lZryz3IwXr9WBBYMRndWIiWg6AkOM91eY8c0mC/5+IhxqFYO3/zShxgQ8Mj6waXytNhYr9lgxf6UFBwvt+HG2AZ1biFuLvt1swZwfTJg8WIuHxoVmemFvoNS3RD2astAAgOYtEp1/h0ca8PjC6fj7p0346/v1fvWr1aoxZEgn9OrRCnq9BvklgckMJIehfVLx1oM5+OiXg7hi4jtYu+mIzxkuhNXE+du5StZ7olNdxAi3yBcTGdxr3G+u6B/fLcpdwgGuDymhwZ2/fEHDbc9majAp63zlbbEAbCn8jd1wh6dq42JFBUNJaHBtpNpxYz124gx0WhVio3hfnkI3omDX0/AHJcfOBcsH2wJDNGlaJjCYNkKLUV01uKqv1juh0UjPzbtH6qBRAx/9bcE7f5qwdJcV6UmBX+Jq1AzGdNfi1/vDceD1SEmhAQBjuzsyfX2yxnLBWTdIbBBNhpxLegIAThzKR0JyHB6dfzc+fuE7GKtqPe7rbsEZEaGHimGw6+vL8eWLQxUbry/kdG2OGdd1womiKjz13C+YdPcXOFVQ5nYfNia23oKRKxwnVp16LxvuDA7n/hbCCQ6xwPBuSe2R1Tu93j5yEfbHd5sTwh8bZ9WQKyAaItOa8BjC+hxCweGpWngw8ORutWL1QQztkwq12o2lLdQW2N4KCLH2XgZ218OX+Qi1eSRCkvG9tLjnEr337lLcudVIz7Eb+2ux67gNVSbglkE6XNottNL43jrfCADom6HGje/V4LXfTfj3RPBT9DYEofVJEIQf3HDvBGxatgM/f/gnktISkNUzA3arHfl5xWidlQath2rcQvcbAKioMGLZ0l1477VroWrREtoQyAJTcq4WNbU29OsShz1HijBl5pf488fpku2Z8jJAZMHICQ7hb+B8PAzn3iRmceBcpbjf/DZ89yk+/KrhQguFHPgxO9z+3OcmdF0SVggXkp2VCuC8G5VYLRAOqdfEXML4YxNjd8lhl5iW3SWHMXngGBdXML6LUqDgiwgx64VLbQc3rFh9ALePbS3+otKB0v7g7/F92Z9z7fJ38Sbcn+86RjRNgvEZN/LzacpQHaYE93mgW66+SAu12oJtR21gWeDj1RZ8vNqCay7S4JHxekToG1dGMG8gywbRZEhpnYQH3r4Txw/m48f5y/D6rIWIio3AEze8hsk5DyL/qOdsTvxF6V42HB+/txQ5fdLRs2tLAN6llA0U141qC4NejaIzNeicEYdrhrXwuS9+xWpOaAiDljnrhdgCmu9SxbURtnNXQ4NrL7VoB+pbLzj41by5/YSiQG7gdTZTU08s8K0QQsSyavHT8borWMiHEx2cqAtGXRspQSFHaGzbcRyFxRW4uGfy+Y2+WAH8wVNV8lCpVu4LnoRKI30CTXgBfcZNhok5Wnw7Mxz7X4vEzhcjsOguR4zb91us+NJNXRCLjcVdHxnxwJe12HzkfIYtlmWx+j8rJi80otIY2m5ZJDaIJkW/UT3wyg+PoN+oHohpHgOL2YK7X7gZE24fiQ+f/cZjjIPwafiGLUdx5WXdAj1sr9BqVHjz/n4oOWvE89N7Y8rlWT73xXfZEcZv7GXDJS0aQquGp5S4/MBxYVtv0unyMznxa8HwBYdYeznw++QsL3KLDPKFhif47/fgP3nO/4WWmobCU9YqSTHCsnh74RrcdXk76HUhlD4zGNYUXxeE/gqJxiqiCPdIWbKIJoNBxyCnvQafT3OkxX1ziftaWmsO2KBRA7M/q8WAp6vR54kqvP6HGU/+YMLGQzbUWuSLjZNn7Dhe6vhZd9CKdQes+C/fFtAq5yQ2iCaHVqfFvW9OQXbP9qiuMOLthz5Fv9E9cba4DH98tsqrvqqqTYiONgRopL4ztE8qLhnQEo++vQ1siu9iQxgcLsa9OZfIEgT8An9y4bf1FFDNwXd344SEO2sIfz+58Rz8lLZ8i42cSudCkcLfV2puxOahoWM35AgOfiXszf8cw4lT53DNSF58TqgEgntrzfBnMSfl5y7XfUqJYxNEIKHzLGD0yVDj3VvDMChL+oGNVs3g6Sv1+OUfKyprgWoTi8pagGWBVgkMctqr8fl6eRXTq00sxrxSg2vm1WD0yzW448Na3PFRLa6ca8SAp2twrjowgsOr1Ldl5d/iRFSip+YEERLY7XZ8+tIPWPL533hq0T1IaB6Lp25+Ezc/eCWGXN5Pcj/+k/ApUxbg2rFdcMnwTi5tQqGCr8lswzUPrcTVV12ESRMvUqRPNibWJQYCAG5NDsee6NR61cTdiQp+zIbYwnxVbq6LCxbfguIuZSw/3a0nPlm/VFa/nrJV8Y/tC1J1SVbl5jqzdmX1TncWTRyWkYHJA8cgm6lp0OxUfNj8A07xwT/XOeHBsixufGYLxuc0w8TRGRfuE3apRZjcWhvC9r4cgyACScYYOtdChFNn7GAYoKSCRbSBQXIsgye/N2HlXivsLLD2qQjERbiP+8g7bcelr9bAoAVaJarQvbUK8REMlv1rxekKFuvmRCBMKy92xJvUtxQgTjRZVCoVbnvsGvQb1QMdemVApVLh8YUz8Ozkt6HRqjFwbB+PfaSlxSO/sLzedrnBs4FEr1NjxnWd8NnyA36LDbGn6M5gZQBg4VwAA8B969a47Y9fD0MYDA7AZWHNby9loRDb7i5IO5upQbek9pi7aZlT+AgDyJ378frhp9DlW0Ckgr+FgkusyKFU5XWu7cF/8pyig9u2/dCRugD2wOIpEF14jnP/b9hdjKKCM7hyWN9ADo8AaKFHBBc6/0KGFgkOZ6S0+PPbXr1ej+yHHXEcETJKd7RJZPD7A+GIDAOax5x3bpo5WgeTFbKFhrd45Ub1Hxt67iQE4Q6GYdCpT3uoVI5TvW3nVnhs4XQsevF7/PrxclEfRf4is0WLeOQXljXUcL1GpWJgsXpOneeNMOLck7pUFDgXovz/pWI5ANeUuGLw62mILcz5wkHKrUoqNS5/n71sOHpltsMXk2Y428ixhvDdrNzVBAHE3+MH3/7llRsZAGeaYE5wcOJsLxsecFcqfmIAIe7OmQ++249p13SEThtinrih4O7hbY0R4euh8B4IgmgUPPG9CQBw80AtdBrPQoFhGGQ0V7kIDW67t0KjuNzuuVEdXls2+BV6CaIxktktHc9/9QBevPM9lOSfweTHroVaI+4v2blzC3z39UaYZlmh1zsuF5MhEt99ugrdstPQJbayIYdej/7dmmPOB9uxYctRDLiorWQ7T1m0hE+3hYHjXP0H/rXPf2IvJhw4a4VYrAK/gJ+Ye5LYQr9XZjsXiwnfUiEUHPz/pUSGcDu/EjknVviWFWF7sfGLzYO77Ryc4OCnEd5+6AiQ2Q7ZMY42/BTFweRUcTUOHi/DuIsvDuo4Ao479xFvBYFYP1L905NkgiBksGKPFX/vs0KjAq7q2/COSjb5WoMCxIkLk5TWSXjhmweR998pvDZzAWprTC6vc4vq/v0z0bptEj76YqPzta+/2ohvft2FKfd8ja17Tzu3my12fLMsF9VGKxqK8DANnpnWC7Mf+Q7f/rwjINkkOJGx+GCBM+XrpKxUyYriHGL1Nzg8xT9ICQQxlyxP+7qrXO4JvquWu1S4viI2d1JWo0BZOcTEi7sMVUvWn8TwvmkI09cJ9FBaHCs5Fg99CefHOWdKxGkQBEG4wWJj8eT3tSg3AoM6qNEhteEzAqbGyZcQXosNsmoQTYXouEjM+fQeaLQazLllLspKK1xe38uGg2EYPP74Ffjkyy14/vVlOFZmRUWlEf37Z+LlV67HzNc2Y8f+UgBAyTkjnl6wA0s3nGzQ9zHiojR89twQfPzpGgwd/zaef+NPlJUbYbV68dgB5zMNSbG75DAmZaU64xo8LfqHZWQ423h6su8J/iKfvxiXs/AXi+1wt78wja1cFyxPSLlX8WM3gPPzyh2zoe65YmJGTHAsWX8CYwe2FO8klF2AFB6b2LXC5h8gEUEQRMCZu8SMshpgQi8N5t0S1iDH/N8OC2YuNmL+SjPGvVaDDYfkVz+nbFTEBY/dbsfHz3+LY/tP4dnP7xN1qYo8fhyffbYOX325AVOnjkB+/lm89vqNWL78Xzz1+HdY8HgOkhPCMfj239Gjawt8/UxOg78Ps8WGrtf+BMBRi8Nqs2PG7Rdjxh2DZe3PLZ6YtA7OhaeYexVXbXvupmUYlpEh6Q4lzDgldLniiwa+exQffp9y2nN4Egfu0uxyr7k7Br8SutR4+bhzN+P44Nu/AJzPTMXvmx+4Hig3KncuWty5UXC6BuNn/4lNiydAq+E9qxLLvhSoRXcoVc8WCphgjElqPiiLEEE0SX7casHj35mQHMPgr8fCoVE3TOXx91eY8faf5+uBfD1Dj16z9sjKRkUB4sQFj0qlwuTHrgVrZ/Hzh3+Ktqlq3RpjH7wWOp0GX3+9AbdNHoy9bDhSR/bDQ4+Ox8Pv7kJMpBZRkXrs/PcUis8aG7zauE6rxrWjHHEbNrsdc+/vh1+X7vG4H19k8MfMBShzP3uiXbMjcQviSSJZk4RCQwxvalcI8SRMvHF14lsuhPt5Kuznacz8YHi5cRti42sI5IiY7ftL0SMr0VVocPhbiExuXQpf+w8EnqqXN9QYvNlOEI0J7r7g7f2hCfP4dw6370/uMjSY0ACAy3poMChLjccm6PDP8xHISAqgGxVBNEXUGjVmvXYb/rfoL+zbeki0jT5Mhzd/fwqv/vYU7B0zndsvv7w3wAD/W3sC7756LW6+tg8SYmTkoAsAz07rhWen9YLdDsx+fTPCwrSi7fguU1KiiEtzy8VrcHU2uErbbw4ajElZqU43H2FBP6m0sO6yNQmL4cktEuiLYOFQOg6Dgy+I3FlhOIZlZLgIDu69fLJ+qU+uVIGI8dixvxS9OopYt0UWAc74hUAXtiMcwoLmkGhqiJ3Tnu4pF8B1cMdQLb6fZUBbLxb7StAqUYUP7zDglkE6RIZ5J3J8Him/ei9BNAWSWzXDjJcn4bWZC3FkzzHJNgnNYwGcX4yrVCq8+fyVeO3zfYgI1+GJBy6BtpWjCGBDWzcA4NpRbfH+YwMAAJdf2lW0jbsAYOD8U25ukctV1L5v3Rqn8Lhv3Rp0//QT3LT4Xbe1J4D6i21+G35mKm8RWh6E8Rx8IcH/319rAT/9LX8MwixbUgUNpeALMn4w/PZDR7D4YIHHcfEtUcL/lRAf2/eXoqdAbLg9j7jXlFwA8K0I9MTzPGTJIJoSnq5pqev+ArgO7h+rR5dWDR8Q7g8+iQ0SGURTpc+wbrj9yevw4p3v4Uxxmdu2/KfNnTuk4N5pQzHn5T9gPbE/wKP0zLA+qfjihSFYuGgtvv91p2Q7uYtQsQracgracW2E8Q9She64tvx2coPL3QkWfyqAe3LZkhJXYul+vUEqLkTO58Wdm0KLiD/Co7zKjGMFlejSPs61T4mkAp4SDkgi0xLCCWavs0ARRFND6GpE1wIRYgTEBkNihGjMDLysDwZPuAgL53wlO5UsGxOLa28dBrudxdKNDZuNSorenZph8bODMe/9v7Bw8QaX9+J0oZIKCOYtRjm3qW5J7TF5oONLTGzhzF9ciwWGe2v9cPeaO4uGnD68cZsSEynCtL8ffPuXbCsGJ7Q8ZacSO747dypvBIQvQea7Dp5Bx/RYGPQ+5nP3ZhEk1lawkBIVM3JcLKRepwUa0ZgRSxDAP6cb0/kdrLE2pjlqZHidjSo62vXLjlLhEk0Rk9GM+yc8j6vvvhRDLu8n2U4orD9bvBZb1u/H+69fV6+tT095FeBkURWmPLMWw4d1wUOzRkClEve1ZPMPON1exIr6AY7rnYvdEKt5wQWGi1k9xLb54j4lJyhb2M4fNy1+H0ILDb9gofD9zN20zPn3vTmXyBo7H67fe3MucXH74s45vmDgf1572fB65yV3n+Zv91ZwvPHK97Ba7Xjo1m5e7SeK3BgDsSxXApznLP/64vp3V52b1ze/DyatA6WwJRof3iyU3V1XoXDe+/JeCL8wW1ms3m9D//Zq2fEYFTU2xE7crXw2Ko69bLjzxxMU20E0RvQGHWa8PAmfvvQDvn/vD9gkSmUKr4Fx43th36Fi/Lkq+K5UHC2TI/HVS8OwedMBPPrsb7BY6+fGZmNiJX3v+QvZ7YeOOBfUvTLbYfLAMZg8cIxL1iW5yAn85hBmrpJCKg2vEi5UcoLQpVzApFyipODm5uA/eZi7aVm9+BNPQkF4Xvp7H2bzD0gHh/uCgk8QOQuHy/nL9e/uya6IlcQpNAiiseHNotsHC5/JwuJctfJFY0XJXSov3pGEhmK88IsJsxbXovcT1QEpDux3zAb3JSb1RcZ/okaig2hMdOiZgV9+vAfb1+zFc5Pn4aybGA7uPI+Li8DkyUPw9zrxjFbBIjE2DJ89NwT5xwsx48HvUVtrcXlduHhlysucPxx72XBnmtg3Bw1GNlODLhUFPl/X/KJ/SqBUkLm3+0jFlUjV1vBmnFm9052Cg4OfklgMufdab+I3zBYb9hw5ix4dQrfOkqRIINcIoimjQIzGgbwynC03uWwrLrfjz3+tePk3E657pwZ9nqzG4Oeq8cIvJlhs9RejLOsQIyUV3hWTdUcwEqxcqOw9ZYdWDdzQXwt7ADSlX25UYqZ5zoQv9poY5IZFhDqZlgq8NXcpfv31Hzy0YAYyslu7vC4835cs2Ylff9iMhXOvd2kXCk9MTWYbZr6yEVGJCXjjuSvAMJ7Npe4Wo5xblVhdDal4Be41seJ+HGLuS/4idRw5i3+5x3c3VimrixRiMTDdktqjV2Y7ZDM1ogUXOfiub3JxV9Bvx4FSPPHuP1jy7iVe9ek1Yk8qlRIL3qaHlfPUNNhF/ahwHwF4fY3Y7SwOn6zAtn2nsWprATbuLkbX9vF468Ec7DlyFgt/PICjpyrQpX08emQloHvMMXRvrYbdzuLeL0zIK7Gjf6YaHVJVMGgZHCu1Y9luK85UsdCogM4tVBjSSYPvt1gQrmPw832O78d1B62w2YBBHdRQS7jzynpfdM4rzp6TNlQYWQzIlB+T540blVeRfhUVrsKhFWrwH2vA5rr/OzFGtEINKupeA4AKD31y7ahgIBGq1DJmTJ02HHHxEVj0xGd46NPZUKnOGwUd5381AKCCMSI5OQb/7DyB19/5C7dc1/d8rYuo1mALg2/xeGZqT0x5Zh3eXrAGt91wUb3X2cJDYFLO1xFBhdH19ZgYAI5rdteRPVix1yGiTNWuT8ZsRlfrCb+NzWhx/m2sMtZrlxneAntOOxbbW/P2okuzDOf/a/PyAAAXp4sXwZNCeByuP7Hj7zmdiy7Nzosnbqz8cXBj4Y/DWGVEZngLvLf1L+d2rg13HOE8STEguUW94xurjGhVWYoKAIzgcxF+TqgwOj8rDqa83Pm38DUwOtF2iGqNLXv+Q+eMWFRUyRu71+StkH5NcEwmJdO366jGVq8vj+2lSB8pOjY0H+b+vfhC+kjxPtNHOo4vdUyp/YimAXcOAs7z8Gh+JVZuKcCOA2dQbbSgqsaCaqMVtWYb1GoGGrUKGjWDWrMNYTo1enZIxJBeyXj0oQn4/LttGDl1CVqnROLW8e0xom8qNM7inZlA3gqo1cA7t2hxpJjFtqN2/Jdvg9kKNI9m8MK1OnROY2C2An/vt+GfPBsMWuBwsR0v/lKL/u0ZTF3k+E7QqoG7R2gwvqcGUQY3omPP784/bXYWJ86wMJqBQ0V2LP/XcX0+Ol6LlglUMs6F9JGu90kZ94HWCUBxOVBw1upVzIZcZFk2amtrkZ6ejqKiItkdEwRBEARBEATRNElOTkZeXh7CwsLctpMlNgCH4DCbzYoMjiAIgiAIgiCIxotOp/MoNAAvxAZBEARBEARBEIQ3kKMbQRAEQRAEQRABgcQGQRAEQRAEQRABgcQGQRAEQRAEQRABgcQGQRAEQRAEQRABgcQGQRAEQRAEQRABgcQGQRAEQRAEQRABgcQGQRAEQRAEQRABgcQGQRAEQRAEQRABgcQGQRAEQRAEQRABgcQGQRAEQRAEQRABgcQGQRAEQRAEQRABgcQGQRAEQRAEQRABgcQGQRAEQRAEQRABgcQGQRAEQRAEQRABgcQGQRAEQRAEQRABgcQGQRAEQRAEQRABgcQGQRAEQRAEQRABgcQGQRAEQRAEQRABgcQGQRAEQRAEQRABgcQGQRAEQRAEQRABgcQGQRAEQRAEQRABgcQGQRAEQRAEQRABgcQGQRAEQRAEQRABgcQGQRAEQRAEQRABgcQGQRAEQRAEQRABgcQGQRAEQRAEQRABgcQGQRAEQRAEQRABQSO3YW1tLcxmcyDHQhAEQRAEQRBEI0Cn0yEsLMxjO1lio7a2Fs0NMagAiQ2CIAiCIAiCuNBJTk5GXl6eR8EhS2yYzWZUwIxn0A9hUCsywJ4xCYr0w6dFYldF+7P2zVS0PwBIi89WtD/18EhF+8OQJGX7A5B77Jyi/Z3KL1O0PwA4efSsov0dPXhG0f6OrT2maH8A8Pd+Zd+zuUeyov0BQFXHdor2165Pf0X7a9NBmfshn6w4Zfvrp/xtDAsPble0v83b9yraX/iajYr2BwDGqH2K9te+R2tF+7s4PV3R/gCgS7MMRfvr3q6tov0BQCfGqGh/THm5ov2xhYcU7Q8AkLdC0e7YY3pF+wMAdmOFov2VbK9UtL/d+Z6fxnvdp8L9HUaawj0Cu1CoWF922JFblAuz2ayM2OAIgxph3u0iSQSjVaQfPlFqZU8eqy5c0f4AIFofpWh/6giFxUZ0tLL9AYiKsiraX0SETdH+AMBgMCnan16v7BegVm1QtD8AUDHKfsEwGuXHyOgiFO1PbVD2/NZGKC829Apf0uHKX9LQRCo7SMag7LnD6HSK9ufoU9nPWm1Q9jtQH6H8gtEQqeznEhmt7PUMANEMo2h/DKusBwdbqfzngnBlz0U2TJl1nUufWmXHaFQpG2Iczih/7w5jle1Pq9B6m49aIYOBt1CAOEEQBEEQBEEQAYHEBkEQBEEQBEEQAYHEBkEQBEEQBEEQAYHEBkEQBEEQBEEQAYHEBkEQBEEQBEEQAYHEBkEQBEEQBEEQAYHEBkEQBEEQBEEQAYHEBkEQBEEQBEEQAYHEBkEQBEEQBEEQAYHEBkEQBEEQBEEQAYHEBkEQBEEQBEEQAYHEBkEQBEEQBEEQAYHEBkEQBEEQBEEQAYHEBkEQBEEQBEEQAYHEBkEQBEEQBEEQAYHEBkEQBEEQBEEQAYHEBkEQBEEQBEEQAYHEBkEQBEEQBEEQAYHEBkEQBEEQBEEQAYHEBkEQBEEQBEEQAYHEBkEQBEEQBEEQAYHEBkEQBEEQBEEQAYHEBkEQBEEQBEEQAYHEBkEQBEEQBEEQAYHEBkEQBEEQBEEQAYHEBkEQBEEQBEEQAYHEBkEQBEEQBEEQAYHEBkEQBEEQBEEQAYHEBkEQBEEQBEEQAYHEBkEQBEEQBEEQAYHEBkEQBEEQBEEQAYHEBkEQBEEQBEEQAYHEBkEQBEEQBEEQAYHEBkEQBEEQBEEQAYHEBkEQBEEQBEEQAUHjTeNa2BQ7cDVrUawvjkpbraL9Wc01ivYHABWmSkX7U1ezivaHCoOy/QGorFT2PVdXK9sfABiN1Yr2ZzIpe+5YbEZF+wMAO2tStD/WqvwYWbOyn4vNWKFof5ZqtaL9AYBJp2x/Ncq+ZQCAtapK0f5Yo7LnDms2K9qfo0/lvv8AwGZU9jvQVK3s9QwAxiplP5eqCmWvZwCoYJQdI1Oh8LlYpfznghplz0W21qpofwDAWpQdY6Xdrmh/Nayy4wMAZVeggAXKfy42Bdfxdsj/TBiWZT2uVmtra9G8eXNUVATgW4sgCIIgCIIgiEZFdHQ0iouLERYW5radLMtGWFgYUlJScPLkSUUGV1FRgZYtW+LkyZOIjo5WpE8A6NOnD7Zt26ZIXxfqGJUcH0BjVIIL9VwEQn+MF9q5CIT+GOlcVAYao/9cqOciEPpjvNDORSAwY+zbt69HoQF44UalUqkUPREBhyJSsk+1Wk1j9JNAjA+gMSrBhXYuAqE/xgv1XARCf4x0LioDjdF/LrRzEQj9MV6o5yKg7BhVKnmh37IDxKdPn+7zYBoKGqP/hPr4ABqjUtAY/SfUxwfQGJUi1McY6uMDaIxKQWP0n1AfH9C0xigrZkNpKioqEBMTg/Ly8oCoNiWgMSoDjdF/Qn18AI1RKWiM/hPq4wNojEoR6mMM9fEBNEaloDG6Jyipb/V6PebMmQO9Xh+Mw8uCxqgMNEb/CfXxATRGpaAx+k+ojw+gMSpFqI8x1McH0BiVgsbonqBYNgiCIAiCIAiCaPpQUT+CIAiCIAiCIAICiQ2CIAiCIAiCIAICiQ2CIAiCIAiCIAICiQ2CIAiCIAiCIAJC0MSGyWRC9+7dwTAMdu3a5fIawzD1fubPnx9SYzxx4gTGjRuHiIgIJCYmYtasWTCbzQ02tvHjx6NVq1bO6u4333wzCgoKXNoEex7ljDFY83js2DFMmTIF6enpMBgMyMjIwJw5c+odO5hzKHeMwT4XX3jhBfTv3x/h4eGIjY0VbRPsc1HOGIM9j0LatGnEABriAAAUvUlEQVRTb84eeeSRoI0HAN5//32kp6cjLCwMvXr1wrp164I6Hj5PP/10vflKTk4O6pjWrl2LcePGITU1FQzD4JdffnF5nWVZPP3000hNTYXBYMCQIUOwb9++kBrjrbfeWm9e+/Xr12Dje+mll9CnTx9ERUUhKSkJl19+OQ4ePOjSJtjzKGeMwZzHDz74AF27dnUWc8vJycHSpUudrwd7/uSMMdjnoRgvvfQSGIbB7NmzndtCYS7djS9Y8xg0sfHQQw8hNTVV8vVFixahsLDQ+TNp0qQGHJ0DqTHabDaMHTsW1dXVWL9+Pb755hv8+OOPuP/++xtsbEOHDsV3332HgwcP4scff0Rubi6uvvrqeu2COY+exhjMeTxw4ADsdjsWLFiAffv2Ye7cuZg/fz4ee+yxem2DNYdyxhgK56LZbMY111yDadOmuW0XzHPR0xhDYR7FePbZZ13m7IknngjaWL799lvMnj0bjz/+OHbu3IlBgwZhzJgxOHHiRNDGJKRz584u87Vnz56gjqe6uhrdunXDu+++K/r6q6++ijfffBPvvvsutm3bhuTkZIwcORKVlZUhM0YAuOSSS1zmdcmSJQ02vjVr1mD69OnYvHkzVqxYAavVilGjRqG6utrZJtjzKGeMQPDmsUWLFnj55Zfxzz//4J9//sGwYcMwYcIE5yI42PMnZ4xAcM9DIdu2bcPChQvRtWtXl+2hMJfuxgcEaR7ZILBkyRK2Q4cO7L59+1gA7M6dO11eB8D+/PPPwRiaE3djXLJkCatSqdj8/Hzntq+//prV6/VseXl5EEbLsr/++ivLMAxrNpud20JhHvkIxxhq8/jqq6+y6enpLttCbQ6FYwylOVy0aBEbExMj+lqozKPUGENpHjlat27Nzp07NyjHFqNv377s1KlTXbZ16NCBfeSRR4I0IlfmzJnDduvWLdjDkER4DdjtdjY5OZl9+eWXndtqa2vZmJgYdv78+UEYofh1OmnSJHbChAlBGY8YJSUlLAB2zZo1LMuG5jwKx8iyoTePcXFx7EcffRSS88fBjZFlQ2v+Kisr2fbt27MrVqxgBw8ezN5zzz0sy4bOuSg1PpYN3jw2uGWjuLgYd9xxBz7//HOEh4dLtpsxYwYSExPRp08fzJ8/H3a7PWTGuGnTJmRnZ7tYPUaPHg2TyYTt27c32Dg5zp49iy+//BL9+/eHVqt1eS2Y8+hpjKE2j+Xl5YiPj6+3PVTmEKg/xlCbQ3eE0jwKCdV5fOWVV5CQkIDu3bvjhRdeCJpbl9lsxvbt2zFq1CiX7aNGjcLGjRuDMiYxDh8+jNTUVKSnp2PixIk4evRosIckSV5eHoqKilzmVK/XY/DgwSE1pwCwevVqJCUlITMzE3fccQdKSkqCNpby8nIAcN4HQ3EehWPkCIV5tNls+Oabb1BdXY2cnJyQnD/hGDlCYf4AYPr06Rg7dixGjBjhsj1U5lJqfBzBmEdNwI/Ag2VZ3HrrrZg6dSp69+6NY8eOibZ77rnnMHz4cBgMBqxcuRL3338/SktLG8SFQM4Yi4qK0Lx5c5dtcXFx0Ol0KCoqCvgYOR5++GG8++67qKmpQb9+/fD777+7vB7MeZQzxlCZRwDIzc3FO++8gzfeeMNleyjMobsxhtIcuiOU5lGMUJzHe+65Bz179kRcXBy2bt2KRx99FHl5efjoo48afCylpaWw2Wz15qh58+Yhc55ddNFF+Oyzz5CZmYni4mI8//zz6N+/P/bt24eEhIRgD68e3LyJzenx48eDMSRRxowZg2uuuQatW7dGXl4ennzySQwbNgzbt29v8ErELMvivvvuw8CBA5GdnQ0g9OZRbIxA8Odxz549yMnJQW1tLSIjI/Hzzz+jU6dOzkVwKMyf1BiB4M8fxzfffIMdO3Zg27Zt9V4LhXPR3fiAIM6jEuaROXPmsADc/mzbto2dN28e279/f9ZqtbIsy7J5eXmiblRCXn/9dTY6OjpkxnjHHXewo0aNqncMrVbLfv311wEfI8fp06fZgwcPssuXL2cHDBjAXnrppazdbpfsvyHnUc4YAzGP3o6PZVk2Pz+fbdeuHTtlyhSP/QdjDt2NMVTORZZ170YlJFjzKDXGQM2jEmPm+OGHH1gAbGlpqWLjkUt+fj4LgN24caPL9ueff57Nyspq8PHIoaqqim3evDn7xhtvBHsoLMvWd1HasGEDC4AtKChwaXf77bezo0ePbuDRORCOUYyCggJWq9WyP/74Y8MMisfdd9/Ntm7dmj158qRzW6jNo9gYxWjoeTSZTOzhw4fZbdu2sY888gibmJjI7tu3L6TmT2qMYgTjPDxx4gSblJTE7tq1y7mN76YU7Ln0ND4xGmoeFbFszJgxAxMnTnTbpk2bNnj++eexefPmeuqpd+/euPHGG7F48WLRffv164eKigoUFxfXU4zBGGNycjK2bNni8vq5c+dgsVh8Hp83Y+RITExEYmIiMjMz0bFjR7Rs2RKbN292MTvyach5lDPGQMyjt+MrKCjA0KFDkZOTg4ULF3rsPxhz6G6MoXIueksw5tEdgZpHIf6MmcsYcuTIkQZ/Up+YmAi1Wl3PilFSUqLo/ChJREQEunTpgsOHDwd7KKJwmbKKioqQkpLi3B7KcwoAKSkpaN26dYPP68yZM/Hbb79h7dq1aNGihXN7KM2j1BjFaOh51Ol0aNeuHQDHembbtm2YN28eHn74YQChMX9SY1ywYEG9tsE4D7dv346SkhL06tXLuc1ms2Ht2rV49913nRnIgjWXnsZnMpmgVqtd9mmoeVREbHALSk+8/fbbeP75553/FxQUYPTo0fj2229x0UUXSe63c+dOhIWFSaasbOgx5uTk4IUXXkBhYaHzhFq+fDn0er3LhxyoMYrBsiwAR7peKRpyHsUQjjEQ8+jN+PLz8zF06FD06tULixYtgkrlOYSpoefQ0xhD8VyUQ7DPRSGBmkch/ox5586dAODyJdZQ6HQ69OrVCytWrMAVV1zh3L5ixQpMmDChwccjB5PJhP3792PQoEHBHooo6enpSE5OxooVK9CjRw8AjtiYNWvW4JVXXgny6KQ5c+YMTp482WDnIcuymDlzJn7++WesXr0a6enpLq+Hwjx6GqMYDT2PQliWhclkCon58zRGMYIxf8OHD6+X4e62225Dhw4d8PDDD6Nt27ZBnUtP4xMKDaAB5zGgdhMPiLko/fbbb+zChQvZPXv2sEeOHGE//PBDNjo6mp01a1bIjNFqtbLZ2dns8OHD2R07drB//fUX26JFC3bGjBkNMqYtW7aw77zzDrtz50722LFj7KpVq9iBAweyGRkZbG1tLcuywZ9HOWMM5jxybknDhg1jT506xRYWFjp/OII9h3LGGOxzkWVZ9vjx4+zOnTvZZ555ho2MjGR37tzJ7ty5k62srGRZNvjzKGeMoTCPfDZu3Mi++eab7M6dO9mjR4+y3377LZuamsqOHz8+KONhWZb95ptvWK1Wy3788cfsf//9x86ePZuNiIhgjx07FrQx8bn//vvZ1atXs0ePHmU3b97MXnbZZWxUVFRQx1dZWek81wA4P9Pjx4+zLMuyL7/8MhsTE8P+9NNP7J49e9jrr7+eTUlJYSsqKkJijJWVlez999/Pbty4kc3Ly2P//vtvNicnh01LS2uwMU6bNo2NiYlhV69e7XIPrKmpcbYJ9jx6GmOw5/HRRx9l165dy+bl5bH//vsv+9hjj7EqlYpdvnw5y7LBnz9PYwz2/LlD6KYUCnMpNb5gzmPIiY2lS5ey3bt3ZyMjI9nw8HA2Ozubfeutt1iLxRIyY2RZx+Jl7NixrMFgYOPj49kZM2Y4F9GB5t9//2WHDh3KxsfHs3q9nm3Tpg07depU9tSpU842wZ5HOWNk2eDN46JFiyR95jmCPYdyxsiywT0XWdaRSk9sjH///TfLssGfRzljZNngzyOf7du3sxdddBEbExPDhoWFsVlZWeycOXPY6urqoIyH47333mNbt27N6nQ6tmfPni6pPYPNddddx6akpLBarZZNTU1lr7zySkl/74bi77//Fj3vJk2axLKsI1XmnDlz2OTkZFav17MXX3wxu2fPnpAZY01NDTtq1Ci2WbNmrFarZVu1asVOmjSJPXHiRIONT+oeuGjRImebYM+jpzEGex4nT57svG6bNWvGDh8+3Ck0WDb48+dpjMGeP3cIxUYozKXU+II5jwzL1vm2EARBEARBEARBKEjQKogTBEEQBEEQBNG0IbFBEARBEARBEERAILFBEARBEARBEERAILFBEARBEARBEERAILFBEARBEARBEERAILFBEARBEARBEERAILFBEARBEARBEERAILFBEARBEARBEERAILFBEARBEARBEERAILFBEARBEARBEERAILFBEARBNGrOnDmDpKQkHDt2TLE+r776arz55puK9UcQBHGhQmKDIAjCDxiGcftz6623BnuIAWPIkCGYPXt2sIeBl156CePGjUObNm0AAFVVVZg4cSJSUlIwceJEVFdXu7QvKirCzJkz0bZtW+j1erRs2RLjxo3DypUrnW2eeuopvPDCC6ioqGjIt0IQBNHkILFBEAThB4WFhc6ft956C9HR0S7b5s2bF+wheoXZbG5UxzQajfj4449x++23O7e99dZbiIyMxPLlyxEeHo633nrL+dqxY8fQq1cvrFq1Cq+++ir27NmDZcuWYejQoZg+fbqzXdeuXdGmTRt8+eWXPo+NIAiCILFBEAThF8nJyc6fmJgYMAxTbxvLsnj11VfRtm1bGAwGdOvWDT/88INLP0OGDMHMmTMxe/ZsxMXFoXnz5li4cCGqq6tx2223ISoqChkZGVi6dKnLPjNmzMCMGTMQGxuLhIQEPPHEE2BZ1tnG07G5Pu677z4kJiZi5MiRAIBly5Zh4MCBzn4vu+wy5ObmOve79dZbsWbNGsybN89pxTl27BjatGnjsrgHgO7du+Ppp5/2eEw58yRk6dKl0Gg0yMnJcW4rKytDZmYmunTpgg4dOqC8vNz52t133w2GYbB161ZcffXVyMzMROfOnXHfffdh8+bNLn2PHz8eX3/9tdvjEwRBEO4hsUEQBBFgnnjiCSxatAgffPAB9u3bh3vvvRc33XQT1qxZ49Ju8eLFSExMxNatWzFz5kxMmzYN11xzDfr3748dO3Zg9OjRuPnmm1FTU+Oyj0ajwZYtW/D2229j7ty5+Oijj7w6NtfHhg0bsGDBAgBAdXU17rvvPmzbtg0rV66ESqXCFVdcAbvdDgCYN28ecnJycMcddzitOC1btpQ9J2LHlDtPfNauXYvevXu7bJsxYwYWLFgArVaLRYsW4Z577gEAnD17FsuWLcP06dMRERFRr6/Y2FiX//v27YutW7fCZDLJfl8EQRCEAJYgCIJQhEWLFrExMTEu26qqqtiwsDB248aNLtunTJnCXn/99c7/Bw8ezA4cOND5v9VqZSMiItibb77Zua2wsJAFwG7atMm5T8eOHVm73e5s8/DDD7MdO3aUfezBgwez3bt39/jeSkpKWADsnj17XMZ8zz33uLRr3bo1O3fuXJdt3bp1Y+fMmeOyn/CYcudJyIQJE9jJkyfX226z2djCwkKXudmyZQsLgP3pp58k++Oze/duFgB77NgxWe0JgiCI+miCK3UIgiCaNv/99x9qa2udrkIcZrMZPXr0cNnWtWtX599qtRoJCQno0qWLc1vz5s0BACUlJc5t/fr1A8Mwzv9zcnLwxhtvwGazyT620DIAALm5uXjyySexefNmlJaWOi0aJ06cQHZ2tuz3L4XwmN7MEx+j0YiwsLB621UqFZKTk122sXXuZfz5cofBYAAAF0sSQRAE4R0kNgiCIAIIt0j/448/kJaW5vKaXq93+V+r1br8zzCMyzZukcz1qdSxxVyKxo0bh5YtW+LDDz9Eamoq7HY7srOzPQZzq1Qql5gRALBYLPXaCY/pzTzxSUxMxLlz59yOiaN9+/ZgGAb79+/H5Zdf7rH92bNnAQDNmjWT1T9BEARRHxIbBEEQAaRTp07Q6/U4ceIEBg8erHj/wqDmzZs3o3379lCr1T4f+8yZM9i/fz8WLFiAQYMGAQDWr19fr51Op4PNZnPZ1qxZMxQWFjr/r6ioQF5ensdj+jrWHj164IsvvpDVNj4+HqNHj8Z7772HWbNm1RM8ZWVlLnEbe/fuRYsWLZCYmCh7PARBEIQrJDYIgiACSFRUFB544AHce++9sNvtGDhwICoqKrBx40ZERkZi0qRJfvV/8uRJ3HfffbjrrruwY8cOvPPOO3jjjTf8OnZcXBwSEhKwcOFCpKSk4MSJE3jkkUfqtWvTpg22bNmCY8eOITIyEvHx8Rg2bBg+/fRTjBs3DnFxcXjyySehVqsDNk+jR4/Go48+inPnziEuLs7jcd5//330798fffv2xbPPPouuXbvCarVixYoV+OCDD7B//35n23Xr1mHUqFEe+yQIgiCkIbFBEAQRYJ577jkkJSXhpZdewtGjRxEbG4uePXviscce87vvW265BUajEX379oVarcbMmTNx5513+nVslUqFb775BrNmzUJ2djaysrLw9ttvY8iQIS7tHnjgAUyaNAmdOnWC0WhEXl4eHn30URw9ehSXXXYZYmJi8Nxzz8mybPg61i5duqB379747rvvcNddd3k8Rnp6Onbs2IEXXngB999/PwoLC9GsWTP06tULH3zwgbNdbW0tfv75Z/z555+yxk4QBEGIw7BC51qCIAiiUTBkyBB07969Xl2LC40lS5bggQcewN69e6FSKZPR/b333sOvv/6K5cuXK9IfQRDEhQpZNgiCIIhGzaWXXorDhw8jPz/fq1of7tBqtXjnnXcU6YsgCOJChsQGQRAE0ejhCvcpBd8VjSAIgvAdcqMiCIIgCIIgCCIgKOPcShAEQRAEQRAEIYDEBkEQBEEQBEEQAYHEBkEQBEEQBEEQAYHEBkEQBEEQBEEQAYHEBkEQBEEQBEEQAYHEBkEQBEEQBEEQAYHEBkEQBEEQBEEQAYHEBkEQBEEQBEEQAYHEBkEQBEEQBEEQAYHEBkEQBEEQBEEQAeH/XLQxEDALXq4AAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 1000x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = EasyMap(\"50m\", crs=ds.herbie.crs, figsize=[10, 8]).STATES().ax\n",
    "p = ax.pcolormesh(\n",
    "    ds.longitude,\n",
    "    ds.latitude,\n",
    "    ds.t2m - 273.15,\n",
    "    transform=pc,\n",
    "    **paint.NWSTemperature.kwargs2,\n",
    ")\n",
    "plt.colorbar(\n",
    "    p, ax=ax, orientation=\"horizontal\", pad=0.05, **paint.NWSTemperature.cbar_kwargs2\n",
    ")\n",
    "\n",
    "ax.set_title(\n",
    "    f\"{ds.t2m.GRIB_name}\\n{ds.time.dt.strftime('%H:%M UTC %d %b %Y').item()} F{int(ds.step.dt.total_seconds() / 60 / 60):02d}\",\n",
    "    loc=\"right\",\n",
    ")\n",
    "ax.set_title(\n",
    "    f\"{H.model.upper()}: member={H.member} {H.product_description}\", loc=\"left\"\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b01f28e3",
   "metadata": {},
   "source": [
    "### Other products\n",
    "\n",
    "> Reading natlev data into xarray causes my kernel to crash\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "2dbda865",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "✅ Found ┊ model=rrfs ┊ \u001b[3mproduct=natlev\u001b[0m ┊ \u001b[38;2;41;130;13m2024-Jun-22 00:00 UTC\u001b[92m F00\u001b[0m ┊ \u001b[38;2;255;153;0m\u001b[3mGRIB2 @ aws\u001b[0m ┊ \u001b[38;2;255;153;0m\u001b[3mIDX @ aws\u001b[0m\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "\u001b[48;2;255;255;255m\u001b[38;2;136;33;27m▌\u001b[0m\u001b[38;2;12;53;118m\u001b[48;2;240;234;210m▌\u001b[38;2;0;0;0m\u001b[1mHerbie\u001b[0m RRFS model \u001b[3mnatlev\u001b[0m product initialized \u001b[38;2;41;130;13m2024-Jun-22 00:00 UTC\u001b[92m F00\u001b[0m ┊ \u001b[38;2;255;153;0m\u001b[3msource=aws\u001b[0m"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "H = Herbie(\"2024-06-22\", model=\"rrfs\", product=\"natlev\", member=\"control\", domain=None)\n",
    "H"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "95bb482b",
   "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",
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       "      <th></th>\n",
       "      <th>grib_message</th>\n",
       "      <th>start_byte</th>\n",
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       "      <th>range</th>\n",
       "      <th>reference_time</th>\n",
       "      <th>valid_time</th>\n",
       "      <th>variable</th>\n",
       "      <th>level</th>\n",
       "      <th>forecast_time</th>\n",
       "      <th>?</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>92</td>\n",
       "      <td>467606623</td>\n",
       "      <td>478003639.0</td>\n",
       "      <td>467606623-478003639</td>\n",
       "      <td>2024-06-22</td>\n",
       "      <td>2024-06-22</td>\n",
       "      <td>TMP</td>\n",
       "      <td>5 hybrid level</td>\n",
       "      <td>anl</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>:TMP:5 hybrid level:anl:nan</td>\n",
       "    </tr>\n",
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      ],
      "text/plain": [
       "    grib_message  start_byte     end_byte                range reference_time  \\\n",
       "91            92   467606623  478003639.0  467606623-478003639     2024-06-22   \n",
       "\n",
       "   valid_time variable           level forecast_time    ?   ??  \\\n",
       "91 2024-06-22      TMP  5 hybrid level           anl  NaN  NaN   \n",
       "\n",
       "                    search_this  \n",
       "91  :TMP:5 hybrid level:anl:nan  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "H.inventory(\"TMP:5 hybrid\")"
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  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "5a6be0a3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "PosixPath('/home/blaylock/data/rrfs/20240622/control/subset_6defb585__rrfs.t00z.natlev.f000.grib2')"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
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   "source": [
    "H.download(\"TMP:5 hybrid\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "d0a4ce20",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/blaylock/GITHUB/Herbie/herbie/core.py:1097: UserWarning: Will not remove GRIB file because it previously existed.\n",
      "  warnings.warn(\"Will not remove GRIB file because it previously existed.\")\n"
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 289MB\n",
       "Dimensions:              (y: 2961, x: 4881)\n",
       "Coordinates:\n",
       "    time                 datetime64[ns] 8B 2024-06-22\n",
       "    step                 timedelta64[ns] 8B 00:00:00\n",
       "    hybrid               float64 8B 5.0\n",
       "    latitude             (y, x) float64 116MB ...\n",
       "    longitude            (y, x) float64 116MB ...\n",
       "    valid_time           datetime64[ns] 8B ...\n",
       "    gribfile_projection  object 8B None\n",
       "Dimensions without coordinates: y, x\n",
       "Data variables:\n",
       "    t                    (y, x) float32 58MB ...\n",
       "Attributes:\n",
       "    GRIB_edition:            2\n",
       "    GRIB_centre:             kwbc\n",
       "    GRIB_centreDescription:  US National Weather Service - NCEP\n",
       "    GRIB_subCentre:          0\n",
       "    Conventions:             CF-1.7\n",
       "    institution:             US National Weather Service - NCEP\n",
       "    model:                   rrfs\n",
       "    product:                 natlev\n",
       "    description:             Rapid Refresh Forecast System (RRFS) Ensemble\n",
       "    remote_grib:             https://noaa-rrfs-pds.s3.amazonaws.com/rrfs_a/rr...\n",
       "    local_grib:              /home/blaylock/data/rrfs/20240622/control/subset...\n",
       "    search:                  TMP:5 hybrid</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-cdbf8924-3717-412b-bd1d-315877a31c30' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-cdbf8924-3717-412b-bd1d-315877a31c30' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>y</span>: 2961</li><li><span>x</span>: 4881</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-54bab0e9-f7b4-448a-883e-9b59bd831a6c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-54bab0e9-f7b4-448a-883e-9b59bd831a6c' class='xr-section-summary' >Coordinates: <span>(7)</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</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2024-06-22</div><input id='attrs-ee1a119d-a9e4-448a-8c78-4d72e9f2b8aa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ee1a119d-a9e4-448a-8c78-4d72e9f2b8aa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4d4e7e61-5f92-42f9-a15a-dc3709b45841' class='xr-var-data-in' type='checkbox'><label for='data-4d4e7e61-5f92-42f9-a15a-dc3709b45841' 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>initial time of forecast</dd><dt><span>standard_name :</span></dt><dd>forecast_reference_time</dd></dl></div><div class='xr-var-data'><pre>array(&#x27;2024-06-22T00:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>step</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>00:00:00</div><input id='attrs-b999a985-84cd-46b4-920d-b1553693e96c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b999a985-84cd-46b4-920d-b1553693e96c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c36d31f5-71d8-4123-8287-7ff5267d918d' class='xr-var-data-in' type='checkbox'><label for='data-c36d31f5-71d8-4123-8287-7ff5267d918d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time since forecast_reference_time</dd><dt><span>standard_name :</span></dt><dd>forecast_period</dd></dl></div><div class='xr-var-data'><pre>array(0, dtype=&#x27;timedelta64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>hybrid</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.0</div><input id='attrs-b3083be1-f2d7-4b89-942d-99f92783145e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b3083be1-f2d7-4b89-942d-99f92783145e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-10af22bf-d9e8-4d9d-b558-736f8e75da85' class='xr-var-data-in' type='checkbox'><label for='data-10af22bf-d9e8-4d9d-b558-736f8e75da85' 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>hybrid level</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>standard_name :</span></dt><dd>atmosphere_hybrid_sigma_pressure_coordinate</dd></dl></div><div class='xr-var-data'><pre>array(5.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1738e38b-b1e7-4380-9f18-e53ff9b7c1ff' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1738e38b-b1e7-4380-9f18-e53ff9b7c1ff' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ccb0e2cf-a5cd-4514-8c8c-94f10b30ce91' class='xr-var-data-in' type='checkbox'><label for='data-ccb0e2cf-a5cd-4514-8c8c-94f10b30ce91' 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>degrees_north</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>[14452641 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'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c02b9756-91e5-41ac-81cb-caa40136e7de' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c02b9756-91e5-41ac-81cb-caa40136e7de' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-68683dd5-a6d5-4ee0-8995-835d341a985f' class='xr-var-data-in' type='checkbox'><label for='data-68683dd5-a6d5-4ee0-8995-835d341a985f' 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>degrees_east</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>[14452641 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>valid_time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c815f712-48bc-47cc-87ed-0775e1383fa0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c815f712-48bc-47cc-87ed-0775e1383fa0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e6bfa186-bba5-4ac1-9773-9e2aa9c3e1ac' class='xr-var-data-in' type='checkbox'><label for='data-e6bfa186-bba5-4ac1-9773-9e2aa9c3e1ac' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=datetime64[ns]]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gribfile_projection</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>None</div><input id='attrs-3c43ad12-77df-493b-90a0-e6912e805fc0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3c43ad12-77df-493b-90a0-e6912e805fc0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-32a32fd9-2881-4718-8533-82cd433d03bf' class='xr-var-data-in' type='checkbox'><label for='data-32a32fd9-2881-4718-8533-82cd433d03bf' 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>crs_wkt :</span></dt><dd>GEOGCRS[&quot;unnamed&quot;,BASEGEOGCRS[&quot;unknown&quot;,DATUM[&quot;unknown&quot;,ELLIPSOID[&quot;unknown&quot;,6371229,0,LENGTHUNIT[&quot;metre&quot;,1,ID[&quot;EPSG&quot;,9001]]]],PRIMEM[&quot;Greenwich&quot;,0,ANGLEUNIT[&quot;degree&quot;,0.0174532925199433],ID[&quot;EPSG&quot;,8901]]],DERIVINGCONVERSION[&quot;unknown&quot;,METHOD[&quot;PROJ ob_tran o_proj=longlat&quot;],PARAMETER[&quot;o_lat_p&quot;,35,ANGLEUNIT[&quot;degree&quot;,0.0174532925199433,ID[&quot;EPSG&quot;,9122]]],PARAMETER[&quot;o_lon_p&quot;,0,ANGLEUNIT[&quot;degree&quot;,0.0174532925199433,ID[&quot;EPSG&quot;,9122]]],PARAMETER[&quot;lon_0&quot;,247,ANGLEUNIT[&quot;degree&quot;,0.0174532925199433,ID[&quot;EPSG&quot;,9122]]]],CS[ellipsoidal,2],AXIS[&quot;longitude&quot;,east,ORDER[1],ANGLEUNIT[&quot;degree&quot;,0.0174532925199433,ID[&quot;EPSG&quot;,9122]]],AXIS[&quot;latitude&quot;,north,ORDER[2],ANGLEUNIT[&quot;degree&quot;,0.0174532925199433,ID[&quot;EPSG&quot;,9122]]]]</dd><dt><span>semi_major_axis :</span></dt><dd>6371229.0</dd><dt><span>semi_minor_axis :</span></dt><dd>6371229.0</dd><dt><span>inverse_flattening :</span></dt><dd>0.0</dd><dt><span>reference_ellipsoid_name :</span></dt><dd>unknown</dd><dt><span>longitude_of_prime_meridian :</span></dt><dd>0.0</dd><dt><span>prime_meridian_name :</span></dt><dd>Greenwich</dd><dt><span>geographic_crs_name :</span></dt><dd>unnamed</dd><dt><span>horizontal_datum_name :</span></dt><dd>unknown</dd><dt><span>grid_mapping_name :</span></dt><dd>rotated_latitude_longitude</dd><dt><span>grid_north_pole_latitude :</span></dt><dd>35.0</dd><dt><span>grid_north_pole_longitude :</span></dt><dd>67.0</dd><dt><span>north_pole_grid_longitude :</span></dt><dd>0.0</dd><dt><span>long_name :</span></dt><dd>RRFS model grid projection</dd></dl></div><div class='xr-var-data'><pre>array(None, dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a71a44b6-34f5-4eb6-b995-5e475b479450' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a71a44b6-34f5-4eb6-b995-5e475b479450' 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>t</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d4c4e30e-1487-49d7-a3f5-a1edf78f163d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d4c4e30e-1487-49d7-a3f5-a1edf78f163d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-83f35fd1-dee1-481b-918a-b4d3d3538562' class='xr-var-data-in' type='checkbox'><label for='data-83f35fd1-dee1-481b-918a-b4d3d3538562' 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>GRIB_paramId :</span></dt><dd>130</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>14452641</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>hybrid</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_gridType :</span></dt><dd>rotated_ll</dd><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>4881</dd><dt><span>GRIB_Ny :</span></dt><dd>2961</dd><dt><span>GRIB_angleOfRotationInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_cfName :</span></dt><dd>air_temperature</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Rotated latitude/longitude</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.025</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.025</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>1</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>-37.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>37.0</dd><dt><span>GRIB_latitudeOfSouthernPoleInDegrees :</span></dt><dd>-35.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>299.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>61.0</dd><dt><span>GRIB_longitudeOfSouthernPoleInDegrees :</span></dt><dd>247.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Temperature</dd><dt><span>GRIB_parameterName :</span></dt><dd>Temperature</dd><dt><span>GRIB_parameterUnits :</span></dt><dd>K</dd><dt><span>GRIB_shortName :</span></dt><dd>t</dd><dt><span>GRIB_stepRange :</span></dt><dd>0</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>GRIB_uvRelativeToGrid :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>Temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>grid_mapping :</span></dt><dd>gribfile_projection</dd></dl></div><div class='xr-var-data'><pre>[14452641 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b288ca78-9ebe-42ea-8014-2ec27de055f3' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b288ca78-9ebe-42ea-8014-2ec27de055f3' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-42ef711a-da52-4518-9d2b-c610ecae55a3' class='xr-section-summary-in' type='checkbox'  ><label for='section-42ef711a-da52-4518-9d2b-c610ecae55a3' class='xr-section-summary' >Attributes: <span>(12)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>GRIB_edition :</span></dt><dd>2</dd><dt><span>GRIB_centre :</span></dt><dd>kwbc</dd><dt><span>GRIB_centreDescription :</span></dt><dd>US National Weather Service - NCEP</dd><dt><span>GRIB_subCentre :</span></dt><dd>0</dd><dt><span>Conventions :</span></dt><dd>CF-1.7</dd><dt><span>institution :</span></dt><dd>US National Weather Service - NCEP</dd><dt><span>model :</span></dt><dd>rrfs</dd><dt><span>product :</span></dt><dd>natlev</dd><dt><span>description :</span></dt><dd>Rapid Refresh Forecast System (RRFS) Ensemble</dd><dt><span>remote_grib :</span></dt><dd>https://noaa-rrfs-pds.s3.amazonaws.com/rrfs_a/rrfs_a.20240622/00/control/rrfs.t00z.natlev.f000.grib2</dd><dt><span>local_grib :</span></dt><dd>/home/blaylock/data/rrfs/20240622/control/subset_6defb585__rrfs.t00z.natlev.f000.grib2</dd><dt><span>search :</span></dt><dd>TMP:5 hybrid</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset> Size: 289MB\n",
       "Dimensions:              (y: 2961, x: 4881)\n",
       "Coordinates:\n",
       "    time                 datetime64[ns] 8B 2024-06-22\n",
       "    step                 timedelta64[ns] 8B 00:00:00\n",
       "    hybrid               float64 8B 5.0\n",
       "    latitude             (y, x) float64 116MB ...\n",
       "    longitude            (y, x) float64 116MB ...\n",
       "    valid_time           datetime64[ns] 8B ...\n",
       "    gribfile_projection  object 8B None\n",
       "Dimensions without coordinates: y, x\n",
       "Data variables:\n",
       "    t                    (y, x) float32 58MB ...\n",
       "Attributes:\n",
       "    GRIB_edition:            2\n",
       "    GRIB_centre:             kwbc\n",
       "    GRIB_centreDescription:  US National Weather Service - NCEP\n",
       "    GRIB_subCentre:          0\n",
       "    Conventions:             CF-1.7\n",
       "    institution:             US National Weather Service - NCEP\n",
       "    model:                   rrfs\n",
       "    product:                 natlev\n",
       "    description:             Rapid Refresh Forecast System (RRFS) Ensemble\n",
       "    remote_grib:             https://noaa-rrfs-pds.s3.amazonaws.com/rrfs_a/rr...\n",
       "    local_grib:              /home/blaylock/data/rrfs/20240622/control/subset...\n",
       "    search:                  TMP:5 hybrid"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "ename": "",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31mThe Kernel crashed while executing code in the current cell or a previous cell. \n",
      "\u001b[1;31mPlease review the code in the cell(s) to identify a possible cause of the failure. \n",
      "\u001b[1;31mClick <a href='https://aka.ms/vscodeJupyterKernelCrash'>here</a> for more info. \n",
      "\u001b[1;31mView Jupyter <a href='command:jupyter.viewOutput'>log</a> for further details."
     ]
    }
   ],
   "source": [
    "ds = H.xarray(\"TMP:5 hybrid\")\n",
    "ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "9d556212",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x7feb3dbfe510>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds.t.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7409e459",
   "metadata": {},
   "outputs": [
    {
     "ename": "",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31mThe Kernel crashed while executing code in the current cell or a previous cell. \n",
      "\u001b[1;31mPlease review the code in the cell(s) to identify a possible cause of the failure. \n",
      "\u001b[1;31mClick <a href='https://aka.ms/vscodeJupyterKernelCrash'>here</a> for more info. \n",
      "\u001b[1;31mView Jupyter <a href='command:jupyter.viewOutput'>log</a> for further details."
     ]
    }
   ],
   "source": [
    "ax = EasyMap(\"50m\", crs=ds.herbie.crs, figsize=[10, 8]).STATES().ax\n",
    "p = ax.pcolormesh(\n",
    "    ds.longitude,\n",
    "    ds.latitude,\n",
    "    ds.t - 273.15,\n",
    "    transform=pc,\n",
    "    **paint.NWSTemperature.kwargs2,\n",
    ")\n",
    "plt.colorbar(\n",
    "    p, ax=ax, orientation=\"horizontal\", pad=0.05, **paint.NWSTemperature.cbar_kwargs2\n",
    ")\n",
    "\n",
    "ax.set_title(\n",
    "    f\"{ds.t.GRIB_name}\\n{ds.time.dt.strftime('%H:%M UTC %d %b %Y').item()} F{int(ds.step.dt.total_seconds() / 60 / 60):02d}\",\n",
    "    loc=\"right\",\n",
    ")\n",
    "ax.set_title(\n",
    "    f\"{H.model.upper()}: member={H.member} {H.product_description}\", loc=\"left\"\n",
    ")"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "herbie-dev",
   "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": "3.12.2"
  },
  "vscode": {
   "interpreter": {
    "hash": "ac511961bc6976a3d289cde8fc247e6b0e9298cf513cb762aa0a7df646d192ed"
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 },
 "nbformat": 4,
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