{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "bd37e360-d885-4ea8-9623-c72813a68d27",
   "metadata": {},
   "source": [
    "**Brian Blaylock**  \n",
    "*July 27, 2021*\n",
    "\n",
    "# National Blend of Models (NMB)\n",
    "\n",
    "cgfrib interprets the NMB strangely. Not sure what is going on here. I posted an issue on GitHub: https://github.com/ecmwf/cfgrib/issues/240"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "c04a6a84-7862-4d19-8460-ba50b5577ac8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "🥳 Herbie loaded your custom templates.\n"
     ]
    }
   ],
   "source": [
    "from herbie.archive import Herbie\n",
    "from toolbox.cartopy_tools import common_features, pc\n",
    "from paint.standard2 import cm_tmp, cm_wind\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import cartopy.crs as ccrs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "ac4fc277-c878-42a0-843f-ffb60b21661f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "🏋🏻‍♂️ Found \u001b[32m2022-May-01 12:00 UTC F01\u001b[0m [NBM] [product=co] GRIB2 file from \u001b[31maws\u001b[0m and index file from \u001b[31maws\u001b[0m.                                                                                                                                                       \n"
     ]
    }
   ],
   "source": [
    "H = Herbie(\"2022-05-01 12:00\", model=\"nbm\", fxx=1, product=\"co\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "1e1c8038",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'https://noaa-nbm-grib2-pds.s3.amazonaws.com/blend.20220501/12/core/blend.t12z.core.f001.co.grib2'"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "H.grib"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "cdf032cd-19f3-45bc-982e-c2222bd6fefd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'nomads': 'https://nomads.ncep.noaa.gov/pub/data/nccf/com/blend/prod/blend.20220501/12/core/blend.t12z.core.f001.co.grib2',\n",
       " 'aws': 'https://noaa-nbm-grib2-pds.s3.amazonaws.com/blend.20220501/12/core/blend.t12z.core.f001.co.grib2'}"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "H.SOURCES"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "1787bb9d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>grib_message</th>\n",
       "      <th>start_byte</th>\n",
       "      <th>end_byte</th>\n",
       "      <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",
       "      <th>??</th>\n",
       "      <th>search_this</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>54</td>\n",
       "      <td>67526627</td>\n",
       "      <td>68863209</td>\n",
       "      <td>67526627-68863209</td>\n",
       "      <td>2022-05-01 12:00:00</td>\n",
       "      <td>2022-05-01 13:00:00</td>\n",
       "      <td>TMP</td>\n",
       "      <td>2 m above ground</td>\n",
       "      <td>1 hour fcst</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>:TMP:2 m above ground:1 hour fcst</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    grib_message  start_byte  end_byte              range      reference_time  \\\n",
       "53            54    67526627  68863209  67526627-68863209 2022-05-01 12:00:00   \n",
       "\n",
       "            valid_time variable             level forecast_time ? ??  \\\n",
       "53 2022-05-01 13:00:00      TMP  2 m above ground   1 hour fcst        \n",
       "\n",
       "                          search_this  \n",
       "53  :TMP:2 m above ground:1 hour fcst  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "H.read_idx(\":TMP:2 m above ground:.*fcst$\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "11cfb99f-c13a-43dd-8a6c-cff1d04199de",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
       "<defs>\n",
       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
       "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "</symbol>\n",
       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
       "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "</symbol>\n",
       "</defs>\n",
       "</svg>\n",
       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
       " *\n",
       " */\n",
       "\n",
       ":root {\n",
       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
       "  --xr-background-color: var(--jp-layout-color0, white);\n",
       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "}\n",
       "\n",
       "html[theme=dark],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:              (y: 1597, x: 2345)\n",
       "Coordinates:\n",
       "    time                 datetime64[ns] 2022-05-01T12:00:00\n",
       "    step                 timedelta64[ns] 01:00:00\n",
       "    heightAboveGround    float64 2.0\n",
       "    latitude             (y, x) float64 19.23 19.23 19.24 ... 54.38 54.38 54.37\n",
       "    longitude            (y, x) float64 233.7 233.7 233.8 ... 300.9 300.9 301.0\n",
       "    valid_time           datetime64[ns] 2022-05-01T13:00:00\n",
       "Dimensions without coordinates: y, x\n",
       "Data variables:\n",
       "    t2m                  (y, x) float32 292.7 292.7 292.7 ... 268.7 268.7 268.7\n",
       "    gribfile_projection  object None\n",
       "Attributes:\n",
       "    GRIB_edition:            2\n",
       "    GRIB_centre:             kwbc\n",
       "    GRIB_centreDescription:  US National Weather Service - NCEP \n",
       "    GRIB_subCentre:          14\n",
       "    Conventions:             CF-1.7\n",
       "    institution:             US National Weather Service - NCEP \n",
       "    model:                   nbm\n",
       "    product:                 co\n",
       "    description:             National Blend of Models\n",
       "    remote_grib:             https://noaa-nbm-grib2-pds.s3.amazonaws.com/blen...\n",
       "    local_grib:              /p/cwfs/blaylock/data/nbm/20220501/subset_c5b76d...\n",
       "    searchString:            :TMP:2 m above ground:.*fcst$</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-7bab9c35-e8be-4615-8b5d-537f34ec49e4' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7bab9c35-e8be-4615-8b5d-537f34ec49e4' 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>: 1597</li><li><span>x</span>: 2345</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-e0e75f68-a35b-4862-894a-d6b8e8c93e5d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e0e75f68-a35b-4862-894a-d6b8e8c93e5d' class='xr-section-summary' >Coordinates: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2022-05-01T12:00:00</div><input id='attrs-aba2c048-afb9-4ea5-88d1-492424f1c940' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-aba2c048-afb9-4ea5-88d1-492424f1c940' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c3b31710-3a47-4fa2-983a-fdd166fd21a8' class='xr-var-data-in' type='checkbox'><label for='data-c3b31710-3a47-4fa2-983a-fdd166fd21a8' 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;2022-05-01T12:00:00.000000000&#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-e464fcec-2d57-4f4a-8c9a-e0cd80d7400c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e464fcec-2d57-4f4a-8c9a-e0cd80d7400c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-957d1abd-d813-47aa-944d-f90aff9d7600' class='xr-var-data-in' type='checkbox'><label for='data-957d1abd-d813-47aa-944d-f90aff9d7600' 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-bf84e65b-258d-4cf4-bb51-a6c54558b951' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bf84e65b-258d-4cf4-bb51-a6c54558b951' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-630192a1-1fc0-47b2-a5b7-640b0dee4a59' class='xr-var-data-in' type='checkbox'><label for='data-630192a1-1fc0-47b2-a5b7-640b0dee4a59' 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'>19.23 19.23 19.24 ... 54.38 54.37</div><input id='attrs-83135954-4066-4d0c-953e-430d777c03c8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-83135954-4066-4d0c-953e-430d777c03c8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bfaf6eaf-99a9-44cf-9ae6-251cf870b244' class='xr-var-data-in' type='checkbox'><label for='data-bfaf6eaf-99a9-44cf-9ae6-251cf870b244' 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([[19.229     , 19.23419445, 19.23938511, ..., 20.34034804,\n",
       "        20.33604919, 20.33174644],\n",
       "       [19.25112363, 19.25631917, 19.26151093, ..., 20.36270393,\n",
       "        20.3584042 , 20.35410056],\n",
       "       [19.27324788, 19.27844452, 19.28363738, ..., 20.38506038,\n",
       "        20.38075976, 20.37645523],\n",
       "       ...,\n",
       "       [53.01277632, 53.01903163, 53.02528215, ..., 54.34521296,\n",
       "        54.3400818 , 54.3349458 ],\n",
       "       [53.0316719 , 53.03792737, 53.04417805, ..., 54.36413781,\n",
       "        54.35900656, 54.35387046],\n",
       "       [53.0505631 , 53.05681873, 53.06306956, ..., 54.38305814,\n",
       "        54.3779268 , 54.37279061]])</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'>233.7 233.7 233.8 ... 300.9 301.0</div><input id='attrs-a9396700-6195-4400-8fa0-62558c62612c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a9396700-6195-4400-8fa0-62558c62612c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f4a94530-af4c-47e8-aabe-c9ae90460f33' class='xr-var-data-in' type='checkbox'><label for='data-f4a94530-af4c-47e8-aabe-c9ae90460f33' 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([[233.7234    , 233.74683145, 233.77026481, ..., 290.74409026,\n",
       "        290.76793178, 290.79177169],\n",
       "       [233.71789568, 233.74133096, 233.76476815, ..., 290.74867371,\n",
       "        290.77251927, 290.79636321],\n",
       "       [233.71238946, 233.73582857, 233.75926958, ..., 290.75325878,\n",
       "        290.77710837, 290.80095636],\n",
       "       ...,\n",
       "       [221.64754381, 221.67895681, 221.71037462, ..., 300.87524264,\n",
       "        300.90771111, 300.94017537],\n",
       "       [221.63714024, 221.66855972, 221.69998402, ..., 300.88404341,\n",
       "        300.91651908, 300.94899054],\n",
       "       [221.62673185, 221.65815781, 221.6895886 , ..., 300.89284839,\n",
       "        300.92533128, 300.95780994]])</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'>2022-05-01T13:00:00</div><input id='attrs-4bc6f490-87ce-41b9-8edf-f8ee6523e3c0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4bc6f490-87ce-41b9-8edf-f8ee6523e3c0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f7471cb8-9ef0-4dfe-a708-a1bc902e5851' class='xr-var-data-in' type='checkbox'><label for='data-f7471cb8-9ef0-4dfe-a708-a1bc902e5851' 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;2022-05-01T13:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-469ffeac-bc2f-48b5-ac1d-5d196f7ba6fb' class='xr-section-summary-in' type='checkbox'  checked><label for='section-469ffeac-bc2f-48b5-ac1d-5d196f7ba6fb' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>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'>292.7 292.7 292.7 ... 268.7 268.7</div><input id='attrs-309dd0be-a2bd-4e56-9a6f-c86efcf3bd38' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-309dd0be-a2bd-4e56-9a6f-c86efcf3bd38' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-78214054-ac40-4b72-b3d5-96e0ff69fe99' class='xr-var-data-in' type='checkbox'><label for='data-78214054-ac40-4b72-b3d5-96e0ff69fe99' 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>3744965</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>2539.703</dd><dt><span>GRIB_DyInMetres :</span></dt><dd>2539.703</dd><dt><span>GRIB_LaDInDegrees :</span></dt><dd>25.0</dd><dt><span>GRIB_Latin1InDegrees :</span></dt><dd>25.0</dd><dt><span>GRIB_Latin2InDegrees :</span></dt><dd>25.0</dd><dt><span>GRIB_LoVInDegrees :</span></dt><dd>265.0</dd><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>2345</dd><dt><span>GRIB_Ny :</span></dt><dd>1597</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>19.229</dd><dt><span>GRIB_latitudeOfSouthernPoleInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>233.7234</dd><dt><span>GRIB_longitudeOfSouthernPoleInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</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>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([[292.69   , 292.69   , 292.69   , ..., 298.28998, 298.28998,\n",
       "        298.28998],\n",
       "       [298.28998, 298.28998, 298.28998, ..., 292.69   , 292.69   ,\n",
       "        292.69   ],\n",
       "       [292.69   , 292.69   , 292.69   , ..., 298.28998, 298.28998,\n",
       "        298.28998],\n",
       "       ...,\n",
       "       [279.49   , 279.49   , 279.49   , ..., 268.28998, 268.69   ,\n",
       "        269.09   ],\n",
       "       [268.69   , 268.69   , 268.69   , ..., 279.49   , 279.49   ,\n",
       "        279.49   ],\n",
       "       [279.49   , 279.49   , 279.49   , ..., 268.69   , 268.69   ,\n",
       "        268.69   ]], dtype=float32)</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-8dd15173-d3f6-4816-8065-da34bca1be1f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8dd15173-d3f6-4816-8065-da34bca1be1f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3517084a-90d3-47d0-9a5c-f5c6f4e337fd' class='xr-var-data-in' type='checkbox'><label for='data-3517084a-90d3-47d0-9a5c-f5c6f4e337fd' 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;,6371200,0,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;,25,ANGLEUNIT[&quot;degree&quot;,0.0174532925199433],ID[&quot;EPSG&quot;,8821]],PARAMETER[&quot;Longitude of false origin&quot;,265,ANGLEUNIT[&quot;degree&quot;,0.0174532925199433],ID[&quot;EPSG&quot;,8822]],PARAMETER[&quot;Latitude of 1st standard parallel&quot;,25,ANGLEUNIT[&quot;degree&quot;,0.0174532925199433],ID[&quot;EPSG&quot;,8823]],PARAMETER[&quot;Latitude of 2nd standard parallel&quot;,25,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>6371200.0</dd><dt><span>semi_minor_axis :</span></dt><dd>6371200.0</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>(25.0, 25.0)</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>25.0</dd><dt><span>longitude_of_central_meridian :</span></dt><dd>265.0</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>NBM 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-11b74b70-25e1-4021-8e86-5cd8a86cac98' class='xr-section-summary-in' type='checkbox'  ><label for='section-11b74b70-25e1-4021-8e86-5cd8a86cac98' 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>14</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>nbm</dd><dt><span>product :</span></dt><dd>co</dd><dt><span>description :</span></dt><dd>National Blend of Models</dd><dt><span>remote_grib :</span></dt><dd>https://noaa-nbm-grib2-pds.s3.amazonaws.com/blend.20220501/12/core/blend.t12z.core.f001.co.grib2</dd><dt><span>local_grib :</span></dt><dd>/p/cwfs/blaylock/data/nbm/20220501/subset_c5b76da3e608d34edb07244cd9b875ee86906328__blend.t12z.core.f001.co.grib2</dd><dt><span>searchString :</span></dt><dd>:TMP:2 m above ground:.*fcst$</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:              (y: 1597, x: 2345)\n",
       "Coordinates:\n",
       "    time                 datetime64[ns] 2022-05-01T12:00:00\n",
       "    step                 timedelta64[ns] 01:00:00\n",
       "    heightAboveGround    float64 2.0\n",
       "    latitude             (y, x) float64 19.23 19.23 19.24 ... 54.38 54.38 54.37\n",
       "    longitude            (y, x) float64 233.7 233.7 233.8 ... 300.9 300.9 301.0\n",
       "    valid_time           datetime64[ns] 2022-05-01T13:00:00\n",
       "Dimensions without coordinates: y, x\n",
       "Data variables:\n",
       "    t2m                  (y, x) float32 292.7 292.7 292.7 ... 268.7 268.7 268.7\n",
       "    gribfile_projection  object None\n",
       "Attributes:\n",
       "    GRIB_edition:            2\n",
       "    GRIB_centre:             kwbc\n",
       "    GRIB_centreDescription:  US National Weather Service - NCEP \n",
       "    GRIB_subCentre:          14\n",
       "    Conventions:             CF-1.7\n",
       "    institution:             US National Weather Service - NCEP \n",
       "    model:                   nbm\n",
       "    product:                 co\n",
       "    description:             National Blend of Models\n",
       "    remote_grib:             https://noaa-nbm-grib2-pds.s3.amazonaws.com/blen...\n",
       "    local_grib:              /p/cwfs/blaylock/data/nbm/20220501/subset_c5b76d...\n",
       "    searchString:            :TMP:2 m above ground:.*fcst$"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds = H.xarray(\":TMP:2 m above ground:.*fcst$\")\n",
    "ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "5266f51a-82e2-41a2-a87c-63d9abd0a9a4",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/p/home/blaylock/anaconda3/envs/herbie/lib/python3.9/site-packages/cartopy/mpl/geoaxes.py:1797: MatplotlibDeprecationWarning: shading='flat' when X and Y have the same dimensions as C is deprecated since 3.3.  Either specify the corners of the quadrilaterals with X and Y, or pass shading='auto', 'nearest' or 'gouraud', or set rcParams['pcolor.shading'].  This will become an error two minor releases later.\n",
      "  result = matplotlib.axes.Axes.pcolormesh(self, *args, **kwargs)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Text(0.0, 1.0, 'NBM: CONUS 13-km resolution')"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAc4AAAGYCAYAAADLMQJaAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/MnkTPAAAACXBIWXMAAAsTAAALEwEAmpwYAAEAAElEQVR4nOy9d5gkV3nv/znVYbonz2zOu7M5jFZCAQlhQCIoIBBIhrURcIUzujhcjEDXBGMwtrBw4v6MA8YmCRAggbCQRBJRQmglpNXsbN7ZnHcn9kyn6jq/P6pPz+nqquqq7p7ZFcz3eeaZma50qvrUedP3fV8hpWQGM5jBDGYwgxkEg3G+BzCDGcxgBjOYwQsJM4JzBjOYwQxmMIMQmBGcM5jBDGYwgxmEwIzgnMEMZjCDGcwgBGYE5wxmMIMZzGAGITAjOGcwgxnMYAYzCIEZwfkChRDidiHEz873OOqBEEIKIVbVeOxvCCF2N3pMM5jBDGZQDYEEpxDioBDilBCiRfvs94QQP9L+l0KIcSFESghxVgjxZSFEp7b9R8V9NjvO/c3i568IOmghxBVCiIeFEMNCiEEhxFNCiHdo2zuFEP8qhDgphJgQQvTp24PckxBieXFcUcdxnxVC/HXx77gQ4u+FEEeL931ACPGPPuP+aHEsphDiw45t1xS3DQshzgkhviGEWBT0mfyqwylkpZQ/lVKuPZ9jmsGvNoQQTUKIzwghDgkhxoQQzwohbpima79CCHG0wef8sBDii4085/mC1/o8XQhjcUaBP62yz2YpZSvQA3QBH3Zs3wO8Xf0jhJgFXAmcCToIIcRVwGPAj4FVwCzgncANxe1x4PvAMuAqoAO4E7hbCPHuGu7JD/8XuAy4AmgDrgGe9dl/H/Be4Nsu23YA10kpO4GFwF7gX+sYW0MgbMx4Jmbw64gocAR4OfY68kHgq0KI5edzUArnS2hMB4QQkSk+f13rWpgD7wHeo1uRXpBSjgLfAjY4Nt0LbNEeym8D3wByIcfxOSnlx6WUZ6WNZ6SUby5ufxuwFHiTlPKAlDIvpXwU+BPgI0KI9lruyQOXA9+QUh4vjuOglPLzXjtLKT8npXwEGHPZdkpKeVz7qICtGASCEOIeIcTPhBAdRTfu40KIfyxasANCiJcUPz8ihDgthPhfPuf6kRDiY0KIx4EJoEcIsU4I8b2ihb9bCPFmbf8bhRA7ilr5MSHEe7Rtvy+E2Fc87ltCiIU+1/w97f+SK1oI8ZPix9uKlv0Wp0YuhFhfPMewEKJfCPF6bdtnhRD/IoT4dnGMvxBCrAz6bGfw6wkp5biU8sPF99qSUj4EHAAudds/7HtXtGg/IYQ4XPR+/ZsQIilsL9gjwMLifE8JIRYWLcavCyG+KIQYBW4vvu+fEUKcKL57f+0mdIQQ1wN/gb3+poQQ24qfex5fw/18tngP3yu+Zz8WQizTtvutIZ8VtpfwYSHEOHCNEOK1wrbyR4vX+7B2S2pNGC7ez1XCYVELh1Uadl3zQxjB+TTwI+A9VfZDCNEFvAF40rHpOLZl9Zri/28HygSNEOKlQohhj/M2Y1uRX/e5/KuBR6SU447P7wcSxeMVAt+TB54E3i2EuEMI0SuEEDWeBwAhxNLivaeLY/q7AMcYQohPAxcBr5FSjhQ3vRh4Htsi/xLwFWxBvwp4K/D/CSFafU79NuAPsC3pM8D3iueZi63wfEoIsbG472eAP5RStgGbsD0CCCGuBf4WeDOwADhUHEcoSClfVvxzs5SyVUp5n+MZxID/Ab5bHN8fA/cKIXRX7m8Df4XtCdkHfCzsOGbw6w0hxDxgDdDvs1uY9+7jxfNdXNy+CPhQce26AThenO+tmlJ9M/b614ltiHwOMIvHX4K9tpYUUIWi8fA3wH3F86mQWbXjw64jtwEfBWYDzxXHSFEZ8FtDAN6C/V62AT8DxrFlRCfwWuCdQog3FPdVa0Jn8X5+7rxnD4RZ1zwR1lT9EPDHQog5Htt/WVz4z2Jbff/uss/ngbcXF7VO5w1LKX9WdFe6oas45hM+Y5zttl1KaRbHNduxqdo9+eFvsSf/bdhC+JjwseSqQUp5uHjvs4EPALuqHBIDvgx0A6+TUk5o2w5IKf9bSlkA7gOWAB+RUmallN/FtvL9LNrPSin7i8/teuBg8XymlPKX2IrIbxb3zQMbhBDtUsqh4nawn8t/SSl/KaXMYru2rxKNd3VdCbQCd0spc1LKx4CHsF8EhQeklE8V7+de7MVqBjMIhKJydi+2t8vvvQz03hWV7N8H/o+UclBKOYYt2H6rylB+LqX8ppTSAtqxBeyfFa3j08A/BjiHuqd5AY4Pu458W0r5k+L7/n7s930JcBP+awjAg1LKx4vWfUZK+SMpZV/x/+ex17qXB7k3H4RZ1zwRykcupdwuhHgIuAvY6bLLi6SU+4qT7A7gp0KIDVLKjLbPA8DfA+eAL4S5PjAEWNjWi9fkPVvcXoaiuT67uL0En3syi79j2t/q/3zx2ALwL8C/CCGSwO8A/yWEeEpK6fZ8AkFKOSiE+By2a3IRtpX8SHHzISml0ohWAZuBK6SUTnf3Ke3vdPG8zs/8LM4j2t/LgBc7PAFRJr+/W7EF/d1CiOeBu4oK0UJACVGklCkhxDlszfqgz7XDYiFwpLiYKBwqXkfhpPb3BP73PoMZlCDsWNgXsIXEu6rsHvS9mwM0A89ojioBVIvtOd/LGHBCO4fh2McPQY4Pu46Uji2+74PY72e1NaTsWAAhxIuBu7G9WHGgCfhasFvzRJh1zRO1BEf/EltT8mR8SinzwH8CK7BvWt82gS0E3hlkgC7H/hx7ofbC94EbhMaWLeJWIEul+xjc7+kEtoBc7th3Bfai7BxbWkr5L9jC3RnbrQVRbPdBu7QZpMplo7sRdgLvAB5xuCUbAb1tzhHgx1LKTu2nVUr5TgAp5VYp5c3F8X4T+GrxuOPYkxMouWtmAcdcrjeOvZAozA8x1uPAElEe7F/qcZ0ZzCAwipbhZ4B5wK3Fta0ROIstdDZq71SHtMmVUP7+6XC+l1lgtnaOdsca4XVsLccHwRL1R9GF2439fvquIR7j+xI2V2aJlLID+Dds5cJtXwi2hgRe1/wQWnBKKfdhm+x/4rVPMbj8DuyJMeCyy18AL5dSHgx7fWxW6u1CiDuFzcpFCLFZCKFiZ18AjgJfKwaHY0KI64BPAh+WkzFA33sqWpP3Ax8TQswqnue3sYXiI8Xr/pmwSSpJIUS06KZtw4NZWzxHAvu5R4UQCTEZiL9FCLG2GLOcA/wD8KyUctDvYUgpv4z9PL8vpo7w8hCwRgjxtuI9xIQQlwubkBMXQtwmhOgoLiqj2MQmsCf+O4QQFwshmrBdUb/w+N6fA24RQjQLO+3kdx3bT2Gztd3wC+yX5r3Fsb0CeB01xFNnMAMH/hVYjx0KSTfqpEXvyKeBfxRCzAUQQiwqrlVgz/dZQogOn3OcwI7r/70Qor24dqwUQni5M08By5WCWcPxQXBjkacSx451/kJKeQSfNcTnXG3AoJQyI4S4AjsGqnAG2/uorwnPAS8rckU6sENDfqhlTEDtBRA+AjgtOiiyHrGtrv8FvNFt4Zc2C9U1eV/Yie0prwtLKZ8Ari3+DBRdAf8BPFzcngVeha1N/AJ7If8H4P1SyntC3tMdwCB2cPw0tpvmtZqrIo3tdj6JrUH+b2yt1E1ZAPtFSWPH3t5f/PttxW2LgEexGbd92JPijT7jLUFK+bni+B+bgvghxfjLa7BjH8ex7/fj2K4TsO/hoLCZfn+ETRpASvkDbAr//dgW/Eq84y//iO0KO4VNWLjXsf3DwOeEze4rY74V3dSvx47XnAU+Bby9SixqBjPwhbAZoX+IHQ8/KSYZrrc16BLvwyaqPVl8d74PrAUozt0vY69xw8KDjY5Nnoljky6HsIlDFaGqIpSb85wQQoVQwhwfBF/C9uANYrOPbyveT7U1xA13YGdCjGFzUZQnS3kfPwY8Xnw+V0opv4dtAD0PPIMtGD1R45gAEHKmkfUMZjCDGcygTgghPgsclVJ+4HyPZaoxk9g+gxnMYAYzmEEIzAjOGcxgBjOYwQxCYMZVO4MZzGAGM5hBCMxYnDOYwQxmMIMZhMCM4JzBDGYwgxnMIASqVg5acvX1MjNcVmyHXGHy77hPnQt9v7DolGnGaKIgDKKyQJI8ESSGyl8VgpyIkpKxinHkCtBNmnGjCSmMinHkHSnMsZj/WNzuMegzcEPC5alnTPf9ItHwrvSCWb1kbi3nPR8Ici9+cHuuYVBtDjvnUqMRi9nXqDZHnYhHanv/gs5ltznsRGmOSYlRKGAUH5YVjWJFoyAEg9kJupvsnPXB7GTFyO6m5rL//aCOVwh6XBikM/59KJKJuOvnbmNzfmaYJsKyKMTtczjnvJrD6pmPFMbpbmqu2M/tnXY+C+dzVf93RFqIRCXHRoaZ39LFSGG8YvzHRobt8aUzRJKJ0t9L58/n2MgwyUScdCaHHBwqHWNFs5UPBTBM74wPK5m090k3LG22JhSGhp6RUl7mtq3q9D+x8yk6rnuV50EW3qin501kzz7Gb9HSGLf3Tf4tJYmzgwjTJL/erubnXL9yOw1yCwQReogCxha72FDvWjtf9vEHHqV94xp61/aw7SP3kNrUS/vGNdx9w83cO2Bf67aeXoaGEjw8tJW+3QP0ru3htp7e0nYdt/X0AnDXIw+WrqE+0zE0lCj7v6srw70DfaVrdXVlGBpKsPcMrJ4zuY86Vv3tB338bmPt2+2eZtq7tqd0n42E/hzUvbqNy+94/Z6c56oG5zN3Ym/gpnaTOFLR36YcS9qC7+uGk0dg/hL7d6Mxf4n/dn3s9WC1S/Xn8bOn2PvoNzn0+GNc+jt/zOLLX+p6bJB5fiGh2hzzu59HP/xXXPqWtzBnzWrPc6o56vZMnfsEgXNOun3n+j5qu/6ZPje7i7/1ueU1j9Q53M4ZFn5zdfUc72fidm/OY+9c4K20VyUHLb/0Uvmubz9TMQC3m9UfhHMwzpvwelhL2uxtx+5+G4vu+kLFNoDDo5Jzn3gbm+78f8TaulzPkzl3kp3/fCez/vxzCMP2SKsv2m3hcFvogi5+Xg8eKBOAfpPfa5t64YIKCfB/iV9oC5IT1RYoP9QiIBWCvtyNEHTO+amEqBPqXXGDc07qc1q9n27vaRD4Ld4QbI59/rknGP3cV5D5PO/48EdpnT3Ze8FPMfVSuJzvhr5fWEXND25KZ1hFUx+rlJJ73/Z2bvvC5xFClCnPUL4uONcC5776c9fvt5rSr8Z01yMPVtyP+rx3bU/J2Bjt30P7xjVY991f2u/vPvt57nrkQUb799BaNHLSnRWVSSuQHF5W8Vlqk/18Wrc35jurFYNf+VrtFmfBFHR1ZVhNwnXhcXvx3D5zHusllPwEskLb4V+QXbbWU2gCJGbNx1j9YlI//xZtV78B8Ne03RaRejQht2dVbcFxg3o5vKwuN+gvkxpLLde+EOG8tzBwPgM3pcYLfkJKhz7HdCGqPvcTrF4Wpt+8db5HXsqrGv9UC00/6It2pL2Nrj/+fbL9u/jm/3k3E1e9iObXXFNScnXo891LgOqKZVghWetxtUIf6+ndu5mzZjXDw0lXhcPveev7+ynYShA6789tHeld28ONXZeX3rOn9lDywn3qPXdy70Afj/fvsb1TW24tO/do/x7AFnyRo3bRHiUYgwhRhfMtMIOgqsUZ7e6WTlftdKBjzz5G1qwitam34kG27T/AuQ2SQtI7IJMcXkam7SDztuY5fvPraLt4sm6xrn09/sCjALRvXAPYk0SHrs3d9ciDFa5cqO4a1aFrim7QNU1lpavfV6xxPybsC+/nqp1uVFMCal0E3RBE4Nbqtq3VvRlWOXMKYy8vipeV6oYgY58qxaurK4OZy/HUZz/L4V88xWs/9jHa5s+bmotNIbwU1WrW988//Z/MXrWKp5bNqpi7YRREN49VEDdlWARVIJ3HhEU1N3E1j6bb+aopjPqz6+rK8HuJpKfFGchV+8EnHi/9r+JvjYZ+Y4tbJU/eeSuLPvBVlnaWG8XjR/Zy8Gv/wsZ3/1Og8576ybc4eWCA7lv+rO4xhnGN6QjiqnVDvW5Vtxfvhe6q1VGP29YPtcSK/OI11YRYGCGno1GxyCAIMmfDxt/1/wFelYvx/b/5W974T//IN4aPle3nd67phJfSCcEVT6Vg/9aSdXzp9new5dP/QbzZJuHo/Aanp8jv+QZ9FuraXla2m/BW11WGw12PPIh13/1s/tCdZcZC3+6BktXZur0vsJXpdNe+EFy1F6zFmTx5Gisa4dwrXlH2AFsPHiYzZzZji6qvbsnhZSAlLcdPcfbqq0gePIBRdC88/sCjtG7vI7Wpl6tvuR6AG7suLzs+6EStheziB1058Yp5uo1DwY/gM93EID8EsTa99nGz8hsRA4b6YqFhUY/2HwZOwR5G6E6Ften1bh3bto0f/9M/c+sn/5mmtmnUDBoEN/KfF/71ox8iMqubP7jjzwKfzw1h52stcy6MpTmdCl1YuFmmXt4BP4vzgs3jTM+dTeLsIK3PbyO1qZfUpl7SPSsx8vngQhNI9V5EtrONrl8+V9Jktn3knpIwvvqW68uESVdXhoeHtvpO+KGhBLf19FYs1Ppnzt861ELvJvTuHeizY8pz3Besai+Supe+3QOlH+c2v+O8oO7N7b6nCtWEpv63rkFXU2KqWUZez34qsKSt/GeqruG83vlAV1em6rNftHkz6de9in+744/4ws6nA32fjcbQUKLip9H4r4e+Tv7QUZqvu7au89Si5NXrOq3lWLfjp+odU9dyXlcXmuod9xKa1b7zqhbnks2XyQ8/VdkB7Kk9idIAIBhjFsJ9ace/91XM8RGWvuH3Adj/xU/Qse5SZl92TenaQSfO05/4czquvY3E6he5jqXWiVHvIhQ0+O9EkEB/LTjfjNygrEk/NGqhq9fy1MMPteJ8au+NCin4uWd16N/xnh/8gL5vPsgb/uHvifgksU61UFUKpfLEVFMw/aDOYU1McPbDH+cP/v3TtMyaVdru5DdAeboa1J/Ope5B8TyqwfkuPTy0FaDEDdG9gbqL1UkQcrptdfdsuvOQK7v2fOMF6aoFQEo69u5nZM0qRKFAy/GTpBYvBFGZX+P2xagvJN15CLquYd73vs/oqh6MLbeWfPR9uwdKhB8/V63y9XsRgZxuzlqYel55n25uWy/quRpLo6Dfk3MRqQf1CPogz7QR+Z06dCHqJGD4pRc1AufDRdZoayCM0qW+34mfPEHq298lvmIZiSsv4/bXvclXiNaLIPOhEcrj//en7yLxkitIXn5J3fO0EfOsVtfthQoniciLEOQXP35qT4L/uEjULjjnbLxMvu8HT3uastW+uFpiKjqe/eBtXPxXX+DYo/dixBMsfNWbajqPmU6x4x/+Dxe9/9Ou4wuL82Vp6nDGWetBUCEyVVZnI2PEOnRyw/nKAa2Geli5fggr/GpJWwpqbVaD13cqpeTUzp3s+f4POLx1K93LlrHmVa9k+VVXcd+xPeEG6wNd8dUVTzfFMSz0c1y69ziHtz7Naz7wfsB9TjaSQa/gx1/Qn73+vjy1J+GrrPftHijL5YRy67HMcCmimmXplkVxvlBXHicUXyjKUyhUnk81d2m9rqrEvCWkTx3BiMXdDE1f6F/6s88cJzF3Udn26aBVh8X5YL1OFTs1CKba1eaW61bL/QbN96wFjZ5XtVqLYY4LOk/rzZEUQjB/wwbmb9iAlJJzAwPs+f73eehf/4XYimW0//atGG2tNZ1bhy5UGumWVbitp5fPP/Ujnv7ivWz5j38HKuehUlyuWJOp8HCFhdM7pFcz8zun/r3q41BQrmJFrlTeO5j0+qnfQYVmuvMQLde9u0IIX8i4sF21QOLUGax4jHxrC22HjjK6aoWvT9yLAp04myc2XsDsWAtM+uM/9Z47ueMT95SSe3V3rZrITg3M6bJ1Qqdn66inwggEzxXzejGCLAS1uGG9NPQwCGNFBsmVrRXOaiyNxnQydoOgFiHbaOWuVuGQefpZRr/6TVpecy2//3t3uBZPCIpavu8wz0FaFl//3+8i9cbria9aUbatWu6x23zUU1aCohblz8tj6Of+DFNY5HxCreVuFZiGhhLcuaAOV+2SzZfJG7/4tOsDURpJvQ/HbwIMPv8EIzufZsWWP2HbR97Bxj//JNGW4Cq6Gu+PPn8vsfYu5l59Y9VjgtRx9LpOLc8iSLK0Tgrw0+Kni0QTJmcPpq46SyMZvmGfx3QvCuej+lNQ4VCtjrLf916P0iSzOca+8RDZ/l10vOM24j3ersCgCp7fXK0lj9M8cYrk57/Gmle/mot/8zdLnzv5C/oi7nX9avC7R7eyhHpBFqdrVkGN6+GhraWye++7ckvpf0UGUrmb1chAfnihuGoveIsTy5okCEXjxM+cJtvtXWpPwfnFdexLYyWXYLa0lKzNq2+5vqw4u6oa5LWAVqsI0kihoEhLCs4C8ApuL5zfWMJanc6i6tXOWS9xKOgi6qU0hKnpGxTT7cqeDoHc6FhmGEyFe948cYqR/76XyJzZtL3pZkQ0ijRN3rhoNVahgGWaxZ8CBdNESot4cwuJ9jbShTlEYu7dTarB77lIy+KXX/kKP/2fB+n8g/9FbFl5lYtq9XW94MUv8VPewyj2QcqeeiFI5SK/Y6sd43YftVjeXmupjroszvMuOIHmYyfIt7Ywuvli5j72GGM9y6se4xScs7aPc+7lr6dQbFmj/PM6LdvZFcUpKPUFNIjgrMfK0injbq4ElQ6k4BToftesJjyDsoMbUfDaC0GEX5DCB0E7yjiPUZhKt20QNFKI1mqxhiGr+YUuphpSSjJbf8nE939sM+8jEUQkAtEIqzpnY0SjRKJRRCSKMAS58QmyY2NkRkexTBPTNCjkctz0z18gEg8uSN2ez/DRo3z3ox9lyaWXsf8VlyGilXQSr2flFaJxi9H7LfxOBJ1LtVRH87u+33XrEbT68UHY7c613EvxUKjbVfun33nadzBu/7uVjHI7PggyZ0+w5z/+klv/8T/46jvfxkV/8e+sW9LseS63a/7Pn7yVm/7p8wjDcD0mTJsoPwRZnMLUsvRCvWxFCG9JhXXPXogIa5VONxN3ut2xbt4KBa8qOGErNTnhdbxblw99/yDwYo8GdbGe/cjf0f2+P8Vocu8XWc27Ii2LDVt38JNvfZPO3/9fxJYvKd2nm8A7Mga3XlrZWrAR75GzqpZbuMf53TsFyt7o1lKHFOWeVVBuWqDMVetEUDfthZbP+cJ21RbRNnCQiQXziY+MUGhqItfVWfUY/Uuc82yKzOxlmG2tpS9ZuWxVX05FDHLT7NwsDy+rM6jWHWRiO903zpfPGaRXNPYg5KVaUG+OaL0EKTfUspB7eQeqeRUU3PY7H5apM8c3bD1kN9SSDvVCQdUyj+94J9d9/N8DuW6dz2n46FG++9d/zeIXvYiBV1zuamXWMiY31DLXvBQ5LzduIy3PIAbOVIQoqlnBfu9Jwy3OahefigcwvONpjj36RRZd9xaOf+8+bv7Y33syy9wexo6BYfr//k9YfNM7SpWHdDgFkBebrFqs4EJcsILUxnUbSy1F4qu5iM9HB5ZqmE7rs5ECzg9uedeNiFPWS0irpljWGt5oVNGPtn//L8Z+/3YwjFBz9cqjQ/z80//Jaz74AeauWeO6j5d7UGfvq96XXhYh1F8AxI2p68WEVRanOu7hoa0VxdwVnMSgC8l6rAV+FmddtWqns6Znx/pL6d78Uoa+9znM43tK13e6ib3Gs6Gnk03v+1eOf/fLnPrJtyq2OwWks6an89z6/7U+B1W7M0gNTyfC1I0NuwipsYQV5C9ECwSCj7seweM2f6A+JdM5f/zmUqPIPW7zzu35edV4DdpGLkxN5EZWykJKKKa16PWe3Wo/6/hZJIu0rFKXEwX1DNR9qe9dKeYqO+Hhoa3cO9BX5vmCqYux+51z9RxbYK6eM/lsldDUvxM39muYvpsvZLxgXLW1ouKLtCRzn4N8aytnr72mrEOKcpPe2HU57//MR/nUe+4E6i/FFSYe6cwl0s9fevnM8tKAR8bg2h5vK6Ya29bNEmzoYuSCsC2Ygm6bigL0jbLW/M5/vjFd8eup8joELQdZLcb9+bf9Hq/75BdL/zvjf87PdJw7cICHP/BBrHf9DtF5lZr0VLG+dZzPOs1BjQc37ovXZ7WiEQZdXa7a5ZdeKt/17WcCX8z5AM73zbvBKhR4/B8+TKZlHq965/9GOEoS1VJ6LAjOV5H0RsRQGqEYNLLWrfO8erWXelukTYfrNix+VfqoNtor0WgFr+3fPsPYH/1u2Wdh5tF1splHPvSXvOJD/4/WuQvKSEDX9sBjA+Ut3pa02RanSofzi51XIw3V0mJPP79+TZXT+fEn72O0fw+fes+d3PXIg6X99Co/flbmC9ld2zBXbZCX1ylwahFAU+0CNiIRXvqej9ARyfDkv/yt6/UbgXpcsefb7TkVC3Xv2p5Ai1DQxdC5n95STf2uZWH1e/a6C7KW7zUMap0704ULwVKuBaP9eyp+SnCp6xnEVQu2sJq9ciUvefff8O33/xnbd51yJdioz64tvgqKsepMMdOhzwG3MehtDL2aReg/T+1JVMQ4956pdLHffcPNXH3L9dzxiXtKz6nsef2a4lfaVeulCZW0IClpP3iE0eVLSPVeRPvGNWXalb7Iq7iDswyfWysgcKfUu7kW9ZfAq+CBE0rz1Meka7QwqdU62xO5IYxw8Xpp2je6EyKqoZHW53T1CT0faJSQqkeBC9rOKsx88iqiHnZe1OJhcJsvX3rH73DDP3yp9H+tSstnf/AQI5/9MrP/6q6q1wyCam7iasdNBabKM+d1LQjuzm0ESdOvkXUgV+0Hn3i8LvqzX06nc1+1/3Tg0BM/ZNfTz3Hdn/yfqvuGnSRBJniQMmX11nCt90WF+vLqnKjmrnXb3ih3XC1CupZOLFNdyjAMGlmisZGohTXbiDnhZy21b1xD639/gfE334psafbcT4dbWTs1D+674895yZ9+kKdS80vbnYTDrq4M9z+TqFB0FdzK8Hm9Q17fpRt71i12C5QIQPr3s+0j97D5Q3ey7SP3AJQVdodfT1ftC8LirCUxthq7Kzm8jLb9Bzj9ymtJHjwAwOYP3VlK9r1l5ZbSBNNrODonXND8Th1uReD17gVOoaWu79S69HiEswedgtPi9GqfFBSj/XtKlrkX6rE+G2U5NBJucaNalYfpav8G9QnhertyhIH63qttq1bYoBHei7WPb6Nl9izmX/nG0me1PsdPf+ZfscbHObB6dWAhp+N8lI90MxCC5ilPlQUatMhNo8YTxOKsKx1lOqC3qgnzUw25xAGs2ATJgwdIbepl84fuLG1735Vb+Oy3PlpxjPoC9fiA22SqNsGcL4PzpXIKZz3tBWx3rIpH3DvQx+o5dvWRa3sm27jpdPeHh7aWAvu6OzjsQhNEaKr9aomD1BqbvHegb8piwvp51XXqvVa9x/ulodQbF53KZ+kFpSy5xcCnmt3txIqXXs2Bx59oSGw5cfklZLY+C1TeR9Dn3Ojvoto9eQmaat6xrq5M1Wpo0x2v11O+Gl1boG5WrZvFVUtyd5AiBmHhZh0q/PRf/oUFGzcya/P1rsni9VyrEQiSZuFXP1a3YKdqTGERxjrwctn6WSdB0QjLJOxzreaVaETKy1QJvPM1h+r5nsMqbiUviZS0feo/GXvn75byOb3gfMdUriPYnIi9Z+Cpj/4hF//xx4h3zgYoMVVvWbml9L/iJVzbE5xJq78ftRQ40eHW6eqKNfZ1H3/gUT72ux8EKCu3p5pYT3Xe5vl09b4gXbVT/YXMfXqMsZUbSfVexNW3XF/mIryx6/IyhUAn3ASJ1ypUi19W68quXkT1EjrdtV/6McxfMlnrUuV3OpPr90a3lhGJ9O7yeswkKGqxJnVLtRZXbhBhV2/t1KmGM3Y0FW646WZvN0qZ0eHlkg0TF68Vt/X08t2P/jWb3/SbzFu3rq5z3TvQx/j3fsix46fJXnl5YHetX95yI+BGNAqaq+7FffCbe1656dUQlPjjtx77GXFeYTZ1Lw0hB4G71lytfFMY1HKcM3iuxun2ub790T+/jS2f/g9GRltCfaFe1qmuKTY6thT0BfOKmTYK5ytFptGLcr0NxnVMJ7nGzQsx3d9JrbmCCo1gdsNk2ED97YUgoQWnIhfr30nk9Bky17ys9JmX0HO2+FIWpaoAlB4e5OG/fC8XfeA/WT2HkiLsPMa5funWXTXU0shBrXlu9WlvvTTjWtQdJi1NZ9/MqTR0zpfV2dA8Tqef2k3ohKkgUctx+lj8BJXf561z55I6c6YuoamPw2ufsG5fZ0mzehbm8y00axF4zvjmdMW4guTpXQgIU2oRvJ+ffq9h48n6387/qx3rNu56GLJB4u1hkV/VQ2xf9bCCU2jqf682bS9RsrMbKSX5saESY1XF3FS+uuIrqHM2UvF2i3vr579iTaaCQwE2z6OrK+P6Thhbbi3rivLrUmZPx6+tq7Z9IA2xxQxddVWpO4reA1Mvtqy7QVXRY6WtObVFN9TKytRLACoX61N7EiVXq862VTEKxcKFSYJQpmsrq83LS/vqCdg6zV1hOly3TjTKfRtUoDRSEfAjtPhZs3qayHSUY1OolqLihJuFXkuuZj2M2+lsDnBbTy9f/cM/5OZPfIKmtoD9BD1w70AfqYe/x7HBEda+9TddrzVdqFco15pLWm0ctbhv3bIM/KAbSEFTAOty1bZvWi8v+9rnAwegg1KXobIif71xw2rQH0rfgw8iLYuL3vjG0nirWbBONNpNW23MXtsVpooYdD5YlrWgngW62jl1uClAjYw/Bc2b9XLVhr1/Z8pHWEFVa67x+VDQIJiSlvjRTynMnsW6W2+q2KanjKkSenr5PKfi+uL2U/zikx9kyR//RwXfQCneyj2rFFzlIvUqmuLmOg4yF/V1Tm9LqKfe6feir3F3fOKe0nm8em9OBabDVevW0aVuclB8y2rXbVN5Q1P9pbQdmUV8dIzT172mVOhdFXVXwmpoKFF6MdTEunegj8TQ5VzbQwVxp5omEwb65FeTV7l6dGtXv7ZujerxC93CfGwATh6xSUXXau9eNfZeNTSyDFdY61NfRIIqGWEQ9Bn4CW4vATzVRBAnwtYVvpAwnVbnawoJfvFf/8VNf1tZkjMM1PM++OcfZOztv03v5g1l24O0WHPb5ne8jkYp80GKtbihlgIi6u9q8Gtq4VVxzQm/9+GHG67wFJxVO61a0azntgutY3cYTMw5Q/KsURKardv7SoWW+3YPcC/2l35tT7lVmRi6vFRgQGmOutao76tDd40F0eh1S1MJaH0S6nEJde0jY7DaoblCZTk+sIXn3rbJbWqMzonUaMbkVMPNQp8OYaG79YPAb0Gpx93cCMUhyHN4oc2LsPhuJENiLMXnfvY9ogvnl20LIwzUnMitX0t85x5wCE6odNUHTT1z+9x5bKM8YGHO4/TIBKlopK4RVND75WV6eT+d59YVlLBKdWBXrRuCuAT0gevwcs26UZ6D+MR1d4cam58WJC2LL//O7/KWz/635z14wY/dWOui7TxftWs6UY+b9nwXlJ+OFmZhKtMEjWW6oZaXsNp3VU1ABnV/quIXtaQgKdTqwq3XRRuEHRsUQTwavWt7yO3dT+qh79L9f95ZEYO+/5kEJ49M7n/5hknPjvLo6NyC7zx1jIn7P84bP/7JUjPo9125pXS837pVbU4554/b+qnWW6VU741O5pvqaW13fOIebn/9B8vcxTDJptUxHa7aqTDMgo47/W9P1e6qNea2yMStmwJdqJE32cgvJZIu0LU3zsSCechYrHT+uc+MMbZy8t5SmyYn4NW3XA/Yk1K5QPVSfGDTzi+fu6VkgeoxAXCvv6uTcbwWFj/ihvOFc9LKdQtUvSzKPXv5Bti6o/x8l2+YfKH8itD7CZ+p6pZQj8u2VtQSHwxyvF+sNKz7TWEqFJ4gCsaFgHpIQ27kLa9c0HN/84+0v+3NxJYsKvu8FsX04Ls/wNg73kpvr3d+aCMUb6/zBVlznPA6xmksVBunWylRJ9ysTTfrUQ9ZeSGoheyXHnX2jb9Vu+CMrVopf+N/vuK7T5jANFQ2VlYFB/z2CwJnMWSFwX/+N+IrlpN+/Bc0v+rl/P7v/2++dLCfoX/9LyKdHbT95s2IWKXXOmj+pNv9N2rCV5ucXjmJtS6+fsLTeZ0gBdungrBzPtHoOFuY78nJwlV/66j2nKvVe3Xbr1EFBs4XGcgNbkqZ2/3lBg6S+sZDdP/5u0qLtZNcoyxMtz6bep3r5+79Dybal/Hat78cCEZIrMa41vkYbnASgB4bmAzbXNtTXsXogf33AZOeCVWm02lpQjmZRhkcKkWl0ZZoIwyyWsbkZ3EGyuOslt/mltvltsh71SpULgF1jJ6j6Ty/2zXueuRB7h3oK51Hb7haGB7BGhym9fXXM/uj/5fC2XN87Z3vJH/kGJ1/eDtXrdnI2Q/9Dbm9+4HyPDm/e3GOxzmpqy2I1RaRajlybt9JLW5a/X7dckf98gDdPnPLDfxVEZrnC+q71+dErWze8/VdXGhzwC0H1G2M8Z7lSLPAa8zK/pVgC6TLN5QLzVsvzbA3urUkNLu6Mjw8tJWJ9uW0ThwrW+fUb6+1Jkw+t8oPVT+PDdjC8tqeSaG5pG2S69DVlWG0f0/JbQuTa4jXmqfXAncTmo1GvUIzaO3ysGioq9YLtd58Q27YkszZNs6ZS1pL44hkMrQcOcbE8uWMXNRL27bnSJ7cizS6mFg4n9RFm0ukIb0cn67Zvf8zH6V945qSq1aRbHT3rIp56N1KoLzje9DcPT0upRdqB8rcsm4VQZwpPzpTWEF39VZz2ypMR0Pb6ezz6aWIuFnOQV2XfiUVFcLEr3Q00lVbzcV8oQm+6YC69/zBI3R9+zFu/vtP1Hyuewf6GP3S12natJ49TUnX69SKoC7roCzusKQzv2Oc8fRqDHg/C1utmc59va5fC/Sx1u2q7fzE3wBTQwd3cz+p/xV0weWmaXsxVdX+Z/7vR5j9Nx9EFLu739bTi5SSvm9+k8e+8iXe8pG/5rvRLOkfPU7q0e/T8fbfomlj8DqVYWItQdxeQepyOhE0JSMI1DP+dVwsq2E6XbXVBKpffCaIYG9kTDjIfA6rdEy3YuaXMpS/58vEX/17NC0rZ8Xq/Ab1fdzYdXlFGhvA19/1Ll763n+gqa29xJR35oA7hYMbnLFJlTeq4GwxuHUHvOXlk8rxA/tt9+zX/+bNpTQ8XWBt+8g9vpakzgVRBob6+3y7aRtxfWFKmk/lOPs/26aHHFQN5+MhAHT3jzPSk6SQNEruBfWFdy6YQ/OnPk1q9WosWUCYJq1HjmHFoqT/+I8Y3Tc5Bp0wpIhCe6NbS3mdTmtTT4yGymoX7//MR/nY737Qsy6lvqiq2pFBCinrcRUnm87ZjWHvGfvFunzD5LjUearFVIMubPUyIqtZnV5WUaP7N9ZSLcepdYcltUyXxQkzipIbSlbnkWN0fONR3vhP/1TTeZQCP+dvP+T7nKs16w5bAL/RqIXxr0Mfq5+16EY+UutukM5KtTwP8/hJUo98n/ze/SRffjVb//wvas/jbCR0QTid+Z/51gix8QLx7ArA1oyMLbfSDgz372H45tfTvnMXC8YnGF67hvHffAPW1/6Jtk/cTWTuMvLtbaQ29ZYm8nuLGtnqK2E1l9PVU5lwWypnV9QGH9h/H3evuZkjA4lS3uSn3nMnQ0PB7+Phoa1Q3F9327oRBPTSegBE7XKBe4fgxp7Ly4S8TqWHqWlGq4RnWCEaxFWrXhSnJVNNEEzFguMXZ9bHF5RwE9SV/0KHXrR9Kvb3gpf1qz7Xv6ejhRwntm9nwaZwhsS9A30UBocwujpL5/Maf61lCauhljQpPzjnZTU3sNqmj9WPmOgmIO8d6CtTPJ1KcLV3X51PmibW6BjWyCiFkVEO7djD7IGDEI3SeuOr6Pid22zv5J//hef915XH6Yew2rnfIhaUYeqFzC+3kdu1l3d+4K988y2tbJb0T55g4rGfEutZTvLlVzPxyPeJzO6m/bY3Bb5erajlpdFbddVTuxXcXbRTHeMKsgC6CdpGLJph4RbzDAO351qPBu+1cNTj5g973TAIm9ISxqNRy3Fux7qFe1QZulmpgzz/Lx/i8g/+O8dzyZIn6YH995VxIPSKXcpd+/NHfsj4kb286g/+gI8/eR9333CzaxeUxx94tFTBDCrXvL7dAxXcCJ2dqzxLCnpda7e/1Tl15qzuek1t6q1QenXlV7lnk8PLpoSEE8TAKl3XksTGC0TTFpGcxMhZRPISIycx8hIoyjohKMQEVlxgxQwKcUGmO0YhWc6VnbY8zjAI9UDqhDAl3bsmkAa2yzZhlK5vbLmV0f49XH3L9Tz+wKO0b1zDpjUr2PXoY0Qe+T5izUrk3gHy8RjDV11F6/Y+Nn/Inti39fRyxyfuKQmt1eblpZfls9+y3bBu7tu90a0VcVu/OK6Xe0LFSJQbV0HFT1ScBSbdxKpWprMAhd5zFMpjNgr1koO8rE2/z6cTtQrDIK6jatcNk/Lh5uKaLhd0IxCkJZi+3W3fqZob1RTFVYPnSD30HX73nz5J27x5vufSv5/R+77BseYWzDWrQlvL9SpsU4l6yTl+3BTdsnRTusTYGNHDR4kePkL06HEoFCjMn0dhzmxkayvL16/C6OzAaG/DaG1FREI1A/MtuTdlFqeOWt0PTjZjkHxBv32zu/bQfP8jLOjdxOFXXoXR0ux7jJSSM+/7MN13/RmDH/9nZn/4LoxkuUu2UQnLbvG5oM/Ny+oMyoQ737Gtevspeh03Vah18XITjk5ynN/8cR4f9Hvzi/UGuZcLaX74Cdwg/Tnd4GV1Oi1IhbGBHez59Id5w1+9l8Siy8pqViuoYiiqc9F9d7ybl9351yxY0VxKl1OWo4KbEq0rzfoadWPX5Xz8ycm8S2dxFpjM0dTzSXXL9LaeXt57+9vL7k0n/qhn47z+4w88CkxPoXfdwDIyWeKjo8TGJzByOfLNeXLtEbIdUfJtEWRENPTadedx1ot63FoqzqB/eX65hc7j9HM1rVuD+Rd/wt7ZbZz9q4+T+vZ36du5z3OMQgiaLtqIeegIbTffyOgX7qvYp9EEDbdYnfosLPzGNhVVZ8JA5dFNRT/FqUYtgsTrGLfczEZd0w/V5pR6f8630NShC7j2jWtcXbRTMV/0utCr50BbzwY2vfdf+P49n+Tkk9+gb/dAyYNzZMz+uf8ZW8FWqWeZkSEWrGjm3oE+7r7hZkb793DXIw96Pue+3QPc9ciDjPbv4fEHHi2zupSyNdq/h7tvuJmn9iS4ZeUWHth/X1luqO6FUnDOMWPLrUClwIRJoamvwY8/8Cit2/umLG/TiXxsgOSJU3Ts3kfziZNkOoYZX7SAk1fEONfbwtiyBLnOaMOFZjWcN1etG3TtYsrrIFqSWTsmyHUtx2xpLk0g5UZRlPD3//eniTz4MJnONtoOHCIzu5t8W1spxxMmWbaK9aro4W7uUR16R/j3f+ajZd1ZwH55/Nw6aiLrMRGgzHXr7JCiKprc8Yl7uPqW6yu60SsXre4GdqLa4qRT1KvhfMQqwyIsE7aW+L7zs7Co5xxTKRz9XK2NFnLTPpfyeRZ97zGi8+bwR3/xlwhj0g7RBVRhZJThT32G47fcXNXd7OY583LDB/3OvbxitTK9nS5Uv+3O8QWKw1sWiR//jNiuPVhdneR6N5JfswqK5VLdIMbGaH7oUYyRUVqakxjJJKI5idGcRCQnf8eWLiK+cR0iEql6n+fdVavQyBfU6ft284W7/a1/YXs+/1VkNMrat9zie60zf/FRTv7WbyJMk7b/vpex29+CbG0tnRfCuWyDxqOq5b2FeQl1l2AjvwfdTaz/HeSYRsC5AOsEhvMB5/cZNKXAD0Hd+H7u/SBpDF4L3oWKoPMoiCLnNl8UgUdBb+WneApIyaXPj5A6sIPX/uXfcjDVXJa7mU2leODP30/71bfwktddV1KUVaH30f49fOo9d5YUVDV3nelMOt9BuWaVtQnl49JJQ3phFOeatO0j92BsuRXrvvtLhkph8U2ulvzVt1zPto/Y/ThVOt9UGTeJM3kSg3mGVyUhIkrEIy8CkjAli38ywpnNLWRmxUBKRAGMgkSYEsMs/i5I4qMFmoZN8q0RJubGyHZGwXC3Vi9IcpAbpoqZ5YW2I7OIj4wysXhh6TPFItOZa3/5wb8gffoc6eQu4iMmHQMZTt74JohEKgSGslR1xlxi6HJuvdSeuHq7LzWZ9dQS8C88DJML5Gj/Hj72ux8ssfR0tpweG1EsO71qkLI6VR6pM56jk4PqJQX54YVgcYK3ph+EwVotNy/INYPgQhZ456vKVFiGbVDlz4lVQ+dIfetRut99B5HZswDof/KXJD7zBYYv6iWzaKHnsW4x1iAx6KBWol9VID9lKYhSr+8XZM67cVfKICVtn/4sqd9+E7Kt1e+2JlEo0PT0szQ9/Uvyq1eRufrFyJYWz/FLKckPHCT9xFPktu8iunQxyauvoOmijWVeAz+Lc1pinEEw3UITwGxpJprJEB8eIbWptyQ0e9f2lGl5q970eloOHCQ5vIxcR5TxBXHmP/IoSFlBzNGbTt/YdTk3dl1Opmsrdz3yYNkE3nvGpoUrLU5dEyYnupulodyzSjNVBIGhoQR7o1sZGrJrao727+G2Hjv3VMVmHh7aWmLN3v9MgqtvuZ6PP3lfhbW8eo49NmcP0KmAV1zqQohtquddqwCrNTbtPI/XtjDu2QuNjTkVcM6ZsHNI39/rWD02r//s65pFx++9nXN/90lye/aR23eA1nu/yrkrr/AVmm5w43Q0It7sVISdv8NAn9t6DNQpEN2Epv65c15GDx6yWbFBhSZAJEL2xZcx+s7fw1wwj3n3P8iSn/wM8/RZ192FEMRXrqDjbVuYffeHaLnhlaR//AQT3/tR4Es23FXbCE07CJxfULVYoFe8wMpmGfy7T9J8zW/Q/NIry8arj3/gw39H+tqXYc2bC8DSp7ZyOp1l9R+8vWzfeujZ1SwZfft0Vu2pV4hNRTyr2vUuVDgZitXY4rWc2+08fi7ketNppgrOd3q6uqUoRquzXR/YTFX1vbmxWD9w+dX88+//Hj1ds3jZX/wj/2/vD8tcvjpv4O4bbi5LZ6tWRhEocRdU1THF2h0aSpTGpqebuXEnlLLudH8mh5eVuB7K46Y8WwpupKBGGjyzn08xtCpJodk7BlnVyJKSpiGTtiNZpCHItxgUEgZmovi7yQCdTCQliUGTtkMZzrxosrD4C8ZVO50oyyO1LNoOHCLX1Um2uwugrMA7QHTfAPJnT5JPNtlfmpTM2j7B+II4IrqKdOchWq57dylmcccn7ilN2Kf22Nbg4w88WnKtwiS55/bXf7CsQwFUap3Oiawz3vSYh+76VS+Zs42bcherOItOcde70qiX0hkXnS632/mKVTaSBFRNAaplPF5afNj45HTHMy8EL0I98GKS6iU8AbAs+7cRzKFXrQhDEDeqn2u3Fn6DFz/E7TphjCW3d1qdN3LiJIkf/ZTx366v2Iw+BvPMWfZufQ5jeARjaBhjeISOXI7UqM2WbJvdTWF0jPjqHpIvvZKmdZNjm3ZykBvp4HzAb9Gq8LX376H1y19n7jVX0/LKl1fsj2XR+vkvk7v4InIXF1+QbJa2//oCE294HRtecRUQbJJ6+vdd9vPapxZiRFAKeVBG7IWEeuJT0wU/IVevgA06p/yODYJfVUHrtDiVcukk1+hFT1QfS9UZSXEaFFMdJpVTZ49LdW866Wbzh+70tDp1kpCyLhWLX7c2VaUjlQajC6retT1l1qaOwuKbSkVg1PNQc9StH6eORtYUH1vaRL5tmirBSps4ZEUFiEqCkJ/FOa21aqcSfrUf/Ral0kIQjZJ6y5tou+9+mjasY+foePkBhkHqtjfT+qWvAZLcxRdBUxPjv/WbtN77VQqXbCTS0V7VRRtGy691kVLCUgnKqcy5Uue+EITthSowobrV6Nx2IRCD3KyLegS0G5zKzoWg/OhdS1Zju2v3DtmK8L3FsTlzJLu6MvQ9OVASpur4vift56RSvEqdT27QDv7QnWz7yD32M9X64qrjnPj4k/dh3Xc/XUUP041dl9ucBlVQIQp7B4rf1doenvzku0gOL6Ov6IZ11gxX764uNEf79/B4/56qa0ejhGYkXcAwZVWhqTyF6c5DYEmEBTJaYw6nEFix2o69IFy154MY5Ly+QtO5IUTBJDPXDl6oSdW+cQ3WffeTWr+BuT/5KePLliEmUqQ7D5WYtmc2t4AhaLnu3WVuVD0of/cNN/Pe299eKtv35CffxZV/8v+51uNVUJ+piX31LdeXFXXXWxPp1UTUZzp79+4bbub+ZxIlZq3+uXL3Os+rxqDHk2tBWCE7nVakG9svKKtwusakj8srRSWoYvbr7KbV56FXqkotnhovhFEqGxWiCDN3nMe4fa6fo9qxob2NmQyt936VzLUvw1yx3H/fQoHYvgHmHTlC/vBRBIKmzRtpff0NGK0tpWs2ggx33vM4g9yIW9NTNziLDVdD0C9RffEb5s/m8N/+E6l3vLXiHKXjTZPWL32N3KYN5F60GYD4L58jtv8AK97/brbvOVB1XG73pVCNEBGktNhUv+x+5z9f1mej46L1xA/dzgXe8apqBJ6pQlg3baMtTj+cD1et7u5UhUt0d6tuATpdsorDoP6+/fUfLKV9Kdenbs0CZbwF9U793Wc/X9rm114LKB2nSD3KHav+V25Wp2GiW5qqkIuq1a0XcHc7tpGIThTo3jnB6PKEnYPpBssm7zSfzhOdKJDpjpKeEyffaseQk6fztB3Jkp4dI7W4qXYL1IEZclBIzPllinObmrHixS9GKwivMPr8ThY+9xwjXV2IiXHSnYfo2JfGigvM9rVl51OarSooHzn6EC3XvRsor/6jW6bqBQb7BdItUz3WodJeoDyeompTKvYd2H/f/voPlvUFVVaneml0drByA+nnhvALmlOrr7ey0FSThoLkzp2vuD1UL3TQqLHVcy63Y8+H1VlPXH86LM1quadTVeC+nnfIzSvjFnrwe1dG+/eQOHGSzmef4+zVV2F2dFSMJ7p3P03PPEdbJs3lr3gla1/9KmatXMmXDmyvKAxhmSb/+dl/Z/zRH9D80is50NND76a1FdcNAz+L81cmxtlIjKxMMPv5cUZWJDAiq4DJLipgT9yr3/Ra5Buu48A738Pp3jwgGFmZYNb2CYQcJd/RDpS7g1rvu59WIN0J49/5BwqLb2LbffdztdZtBeAubaINDSXo2z1QEt7KjeqMfShignK1Hhmzq4goobn3THEheP3kMYpK37d7oFS8QZ3f2Sf0tp5e7nJQ06tBX3ici1AYt63zJfd64etdDLxyzxT0haJeoaIj7Hn8rNYwY/Bb+Pp215c3eD4Vi7ACz2sO6jyBes/lBq9QRND0rXoVyHrDIG6xb+d2LzZ+267dJI8d4/Qrr8FqaqoYQ+LHP2PW2Chtv3sbt7/sOsBe+750YLIykh7O+vLhnbRc+zIG5s0n8cOfsmjvANQpOP3QUFdtNVcolLsbdI3Brb9cte4dYVtR+eXNOa8hJtI0P/gQsrWVietfBbGYa3m5BTv6ObtoMcmXFN022Szzv/w1htasJnvZJXZ9RRfGlt99hCFKBHnB3NwvQdEoTXw63bfTZY3WwnoNelw1q9INtaS5BH0fpgNhmOJB4Zx3Xt4ONWd0boDeN1NBcQj0WtCKdfve29/O//3Hr5bSuJSLVnmAnH07lbLrZOI7czrVZ8rNqyvNjz/wKJGjD7m2adQFv5MQ5KzN7czVnDL3rCXp2ptGGoLhlYnKcndS0rE/g7Akw6uTVddON3T3j5Na3ESuoz67cMZVWyukpPlkntbjWSYWrkTePhn3VBOu8K1HMUwTmc+WJpuRt5i9bZzxhSsZ37iRlt27kEIwvnET0jCQkQgIUeae9arQ4yT8OJvfOuMeeoK0KuKujrfuu78UP9GVE0U6+tR77ixrOaTnhkJ5sQk3OEkXYRBWU59uBHE/hTmPE9Pheq02jqkUltPlpq3VveomYL2gCgdUO4cfwpQHDNJKzQvVXObVeuRWyzFVcPNeOBX/sWe3l4iVqdWrKsdeKND8jf9hzqoVtL35Dby2+wrXGrt+hSKyO3Yz/t0f0v1nfxRa8XRiyslBYZJq/c7hpgGr4LzfdcJMqGr+ebfzRsdSzPr5k0wsWczYurVlWlAklWLuvn2M3/bmsmNbvnI/6ZdfjbVgvv2BaUKhQGr7bkShYH9mGCVBqoSpWwNfP9SyINVrMV6IFqf+ok9lDHQ6CDzViERuqJe4NJXEn2rfRy0x81rgx551qxykK6Tqszs+cU9pP3WMUlb/9v+8mf/7j1+lqytT2k+ve624DE6FFCbXuccfeLRUeMVZ91op16q4ijpeP7bE/ncUYtcLpeuZAkCZN2oqiUDtBzKYSYOJ+fHKjQW7W1WmK8r44qbaLiAlc55NcW5jC1ZT/dVkpyyPs5bYjF/MyA26ddUIOCnTQe7BbGvl1KuupWN7P3Mf+xHnrnoxhebm0iItT5xkdPvuMoHanEwg0mnAsTAktEbYloUoFBCmiZHL2VX9R8fYsH4V/bmcXYHEo/rIdAlM/dgLIVfTC+p51CI03YoReM0L5/yZKmET5ny1uGj9Pmt08RI3q6aWMoz1knWquWl1KLfpHQ7inn7MpGCb/Pzhoa3cyOWllLG7Hnmw1MLv6luu9+y9qvJAgRI7FyYbUOvpZ+0b1zjCXLZQ7ds4WaxACcHuZc2kt82pEIjOe44cfYh0p9/Tqw+iIEmcy3P60soatMKUzNo+zviCOOl5LkI1IFqO58h0xxoiNKthxlUbEIkzObp3m4wtEiTPmaQWNSE7LyI+NETL/gGG161GxmIlTS95/ARmMsnQb/wGQIlVq+pTKjeqM85x7kyUQi5LIZ+jkMshpcXf3fdJpGHQunENmzashmgU4fD967ERdX71uXrBVQxGv6beb1O1D1Jarx6LUe5cHVNVWKFWNqJCo/LgwsKLPVit5Zvf8RcCvJSDoG7kC5lN22jUqlz6uW6d3pQg52qEouI3NvAmzrmFdNp27kJGDFJr1pSdU6RStH7xPtLXvhxzzSrXc+twm4MA25/rp+2/vsDoH7zDt2+nF9yuV5erNrZqpez8xN+EHkhQOP3gYRaUahPB6X4Jkivndk6RzTL/u9/n9MtfRuf27UTHx8l1dZHv6CDX3UW+s5O2i9aXLZLya9/EijcxvmplxZiCuJbL9pGS9rU9CLMABZPUjr3FgQnbzWtEkBGjam3MF9piEga1FEvwy9MM+/90wm8OB0lbqDU5vJ77dftu3Iq4O+doLfFyN+jn8St8oBdch8riI84a0fo+fbsHSm5bpZzq/AHlrlWuWDcXuXpOim+gQ+V/3jvQV9YbUy+VB+XvuR6P1Yu6O4vOKBfulLhrLcncX6Y4fUlrWXH1SNpiVv84w6uTdRN5OvemyXZGSM+p3WJ1YoYcVCciEwVm7RScuNnO5Wg6fZruJ35ApjvK6LImiFQKrObjWYy8pNBhU6L1Cby5WGJL70SgyDpARezCKz1CFgrIfJ4dO/eR2rGXtlXLGdszgDQMiERo3bQWIhHe95LfrrAa9QL26gXW62dCZVGKWvM3/Ypj+x3rtd/5yuGsBi+LU8HL8jwfAjhspSF1jEKYMTtjz9UUx0ZYqC9UJdErbzOIxem33bmtVgvUz8BR0NcSgJb9A0QnJhjpnZQjseFhZj/xJOm3/xYbX3Zl6TgF/fwqdqvgfBYdSxbQ+uWvMfYH76iJheuFs2/8rQu/H+eFjELSgOik+d90zUs58fotFGZtYP7WPE3n8hXHWDGBUZhUSgqLbyK1qRdjy608/sCjbP7QnYz276nQUO965MFSDl1XV8Z3gRKRCEYigWxupuWyzQwfO0WhuZnWizfy93/6Z4hcjvduehHf/OX9vL55LldeexVGLsdVr72Gvh176V3r3S9SZ/n2ru3h7htu5upbrq8qtNwEnup16vxcoX3jmrIfsPNm1Y/b9qlCI6oD6agmEKZbaDrdac6YrR/UvAw7Zn2Rc3NdV/s/LM6X0GzEtUf7K/vT6s8uLNQ70yh3uRpfNQ5A6TuUkrY9exlbO/mddrUlmfvcNtK/9/ZSm0agYj1Sc02N3+m1UPcmW5oR+Two0uU04Ly7at3gfLncfOnVtHsdflqSW+zODfMf+Q6nXv1KZDRaphV2LJxL/N6vIiMRBi+7FKu5GYCmU6foGhvl5KrVgc4/VYikUjTv2Y2MxWzykZR2V4B8HikFRA2kKHYHEKLs70YhrBbuFL6+bmwP1OKuDYrzURrPD155wE40ypquxVoNgjCx6UbHTds3ril1G9GJO6WiJMVOI7qnxjkWnVdQ7dno7l49f1P37ji9QnpnFP04nUWrw+mSLSy+qayCmX5+/XlGjj4U/gF6IHE2T9OwyciqJABNg3naD2Y4t6mlVJmtEWg7nKEQE0wsqJGR64IZV20D0LVzgtGLryE3xy63o1h1iqq+66sPYjz+C868/GW0bu8jNjJKbCzFxGK7+7sSAGpxsO67v0QWAkoUdXU+9VLprYH07TqUa0RXENSLmDt8lN1Do/Ru3lBGBjLOnGPdRWvZceKsralZFsIsMLZjD1dc/3JkwQJARAzetOoijGiUSCzGn/zzP4Fh+MYUG01CUOec6hQTL1dRGNQSjz/fealTiTBKjv4de8U7FfQwQJgczOmEXyy1kQhjUQZNC/LzlHh9L25u5nnf/T5nX/oSCs3NiFyORY8/wbGrX0LbJeUyxSsM4Pfe69tEOkPrZ7/I2B/9bsOUfj9X7Xm1ON0syyCJ4H77uU0gZ6cDt64H+uTWCQDqfG07dtC0bDG5K1yfI1gWzX///zh5o90vqHngALHx8TK/vn7+qWYaqvuMnzlL/MSxCuKQMZHGiscgWiUoX7RQhZRk2g6THF4M2HPG1VIF14lbVnrQ48VzW/DccuycMRRwX3x/VRGGFKejFgXBaQk1qhCEE0FycOt9Z/zOX2r3BWXKqXOuOS1OfZsiAAVlH3vllLuN0Vn8RC8CoOdvKujWZmHxTaX71wlNN3Zdzvs/89Gy9aiR1mZ8xKTleI6h9bYXrn0gTb4lUlfKiR8690yQnh0j2x2eVesGP4vzBRPjVJNLt6aqxZScUG4KtY+KvTk1QjcfftOyxYhsZSxT7T+6c5/9T1ERaelqJ7Zi6XlbxCfvSZK6aHPFdiFlhTBNdx6qZNQJYRdqiERomliBFY9hxeNY8TgyGrWJSICwLDsfNZ/HyOUwcjlEPo8wTUShQOvz20BKWvuerxijznaspp37CU3n31MFPYezHvdnrfCK+frdu3pvwlrVbkJT/7xR96/HrWAylqb/VEPr9r7SjxvcBJLOM4ByoXlbT2/p7/aNa0quWCfU53c98iC39fS6jlV/TkrA6d+F+m50BUKPbeoNHfRarSoGCOXKf3J4GcnNZ0gOL6N1e1+ZQFRs3YeHtk6pEt92KMvYMtt1amQtmoZN0nMbI9TcMLakibaj2Sk7v44ZV21ANJ/IIZJrGd20sfSZ7hq9raeXv3ztTYwsGiae6yE2uAvEfPJdnaX9052HSr06obJ0lM60Va4qpxvEDZ6Wu2linDyFtXhRyc2rtu/43o8pLF1C79qeMtaa24KoXnBdW62axiOlvYBJyfi69bTu6AcpmVijFV4Wwha8hoEUBtIQJUGto1HC0CvvrFaEZZYqTGX8Neh5YfrbhCkEZX5WawRQj0vWmaah4FZKz60llw5nqosa23QVDHE+N13Auyma6hg/eDFw3di5an99W2x4mM5tz3Pm5S8DYP7OneQu6cVc6V0YPki6V7V3ovWL9zHxmmuxiv2U68EF66p1IgjpIIgvvJaJ4oRzosyy8kROnibz6ms89+385bNkZ88mdsMrWfKTn3F88SIKPSsq3IvT4aoFMDIZjGwWs6MDKF9ooqlxzGLjVwXnAuKV7+UGr/qdvpCS8fUbbFewZdkd3aVVstoBWnbvJrV+AxjKHTwpYNt714W7Xg1wm4tT5a50u4a6ThCEFc6NUBwaXWUIamePBhW6bsRDVTjEqUB6jU93+yrlEyiV1PNDUHe0Mw1Fr0bkPIcbQUgvt6eg8j7BvVBBo1y13TuKhdbbo0RTBToH0py9qLJqUKMRHzZpOZljaF1z3eeaIQc1AImzeWLWcoZfdEnpMyeRIX5ukEguT3rBPJLHdjC6rImYOVkAQU1aZVm6vZxBiyN4aX46xNCwLWw6bcGpCEkbVy/H3HeArdv3VsRsnGNyEoD05HC9ma4TzvhxzRq4ZQvS9nUrbQKTZdmfWRbCmpy7tjAtFoEwHNarEGxav6qi2pKCl/UZxCqdaqHZ6GuIVArMgq2ItLeXXfN8sIPrVSDDWp3OIgDObU4EVRzBO994qpVk/TpOoagQhHntRfZzws1joV/TGBqm6XNf5tSrXwnAwqefJn3dKynMnxf4npzX0s+vj7dirFLS9h//TeqtW5Atk4ZB6+e/jLlsCZmXvzTwtWfyOBsAaTBZnL0IZ+ylkEgQyWZIdx7CyEusePlC3brddnH+3Wc/X3J76qQEfeI6Y1h64N+5rxdELg/xyUB8alMv1n3309+/h73HT9K+cU2F1umXnqMvrs6qJn6oy21VLOZAPA7FnFXZ2opsb8fq7Cj9yNZWZDKBjEWRhrBjrnkTkckgxifof+o5zDPnSj+Fc4MUhoYpjIyyceFcrPEJrHQGmc0h8yaWWWDTmhVVhzcdMc5GXkOYBWRnB+tXLS/LeztfKTVe8zeIQKxFaKrfQYSmQnJ4WWBvih5jrcU973VOP+jr0OMPPFqh+LoJbrdcUWd8uRqc81IdY3zjIUY2rgcgcfIkVktzhdAMqkwEjcmXzicE2RdfTtPPJ2ucG6dOg5REDxwiumdfoOtWw3lx1bpNqEZo2U4NxMt6C1rWTz++6fRpWgYOMHjli72vYZrM/973OXfFFcx+4ueMv/dPS/G66XDN6mjd3kdkfIJCMlEaQyn+8tyzGKaJlfAWftUWEn0/t1iR3zE6GlnbMxSKlqz+W1gSpO0yNs4NYnV24LRRJbB+9XJ2DhwGIVi/egU79x+aZBYXLVzXn4AIU3YyLNZ3dxCdMwsrNQ4RAyOZbMh5dTSiNJ8XqilhYapUqTmkdy9x8+T45Y2rcnd6illQhGWAO1POnJW91D5u+ZxQ6bJ1ohHl9qLjBTr3pTl7kW3tzXk2xeDGFgpehdctCYKG5o1jSeY+m+Jsr50rOmv7OKPLmjCTEeY8l2JwQzNmc8T3+PhogZGv/HLGVVsvYqMmrceyZBZs8G3u3L6nD6MQ5/TmGPGcvQC6pbrAJDlIt/K8ciKDBvN1rbGrLUlh6ZLS/6VFYOtzGGYBq7urjDTkdU6gtEB86j13AuX1Ob0WO788vFpRj8AMY7lld++jae0q121SF7qWRKq4rGWn7uzYc6CYxjP5ub4srO1ZWnY+IWDnwBF7AUGwfvXyyQ3FBUUIwY59SkAXt1mWK5nKcxESAmMsxcYrX4TM5ejv24Vsnfq4U1DUoly6CUovl6tzWxCFT9+vEailGIhbS7+gjRAakcKjw+sdevyBR0FK5j72I4YuvYR8ZyfNBw7SFjNY9Sd/wPZfPAtNTchkwh6TlBiZLG2rlyMsCyuZKO8chb/rWW33Gmd0zz7i/TtJX/dK2v7zc4z+8R/Z8//sOVrue4D0TdchY3FkLGp7tIDogUPEdu3BGBnBXLqEI5/57IVFDvLzt7v5tJ1uBKfFFzSpV79eEFKDfmzs3CDtu3Zx7uqXeF4LoKNvO+NLl2B2dASeuH6umCCMQtd6sJZFJJ2h0FIeJE9t6rUtzlyuVOVIwdm7zwteFqfzPH7H6ePxgluMaLrSeyKHj5SUDjc0lBRTzJUFbPewlLZpKy2QIJH0F4XxxtXLS8K4MJaCfJ7d54a1c1X8wfqVk89dGAZv23wVX9z/PIWzg0TnzKpoou7VJLgaguZW+8XXvBBEYIQRKs5WYboS69Wj0y2P3I2V7McaDgo3HoNKp3PjIXiRo9zgt6bUY3EmzuZJDOYZXtNcKux+5uJWEHZbMQVpCAxTYkUFMiqKlcwkQkIhJsBojPU5e1uK4ZVJWk7kKCQMUkvs1Jj4iEnyTB5hSYRF0dMEuY4o6VlRCskI0VSBsS8+MzX9OBsFN+GnTwy/Cee2zYtiryZe0DHpiI6PU3AIGjfoBQ+Cantu+Yzq73pINdJlArZu77PbkmVzdnNtrQCCLtiqCU+3Y/yOreYmqkZWOB+FDfwIMw2NCRYtSy9tXkApVq1cq327ByCXxzh9Grl4keep9XPq6U9vXXkRYy2nSHZ3leLVqslAI+H1DoS1hNQ74Zb2of4PaoX1ru0pPQf1TNwqcqlx+s07N+XeyYatBW7Hpjb18ilHA2zQSv2hFQgpbpu2KkqWpP1ghrObbRdt67EcE/PjyKjAyFpYRYEoTImwJIWm8oIpVtzeZpiV3JBaMbwqWXIbz+qboNAkSM+JkeuIVu3G0n4ow5jP9qoWZ3xxm5z7rssYPDRRw9BfuOheZgtJdd+tR7JIA0ZfPCl49cntV/VGJwDpk15vVQSVuZv6tiAoe8lHRzHMAsMnzrjGZK981UvY9fxOrDlzPNMr1HhU9RE93uO8p6A1f6F6HKpRbMSgbia3BH83V63TMtPhZaXVImD9XMrO81WzjH1RKGCMpWw3WSxWtS3dVKMWRcnt/fNjzrrBLe0Kyl25bn83Gm4uWfV5UAXaT7GoB9W+i8RPHsfa1sfZa6/FyOVY+MQTjP7h77BpTQ/9z20vY3DrKPueLYvxZ56n5fKLy0NLAeqSe42v+Rv/Q37DOvLLl9L80HeInD6NTDRhLlmMuXQJ5tLFFS7iyNFjJH/wYw5+81sXlqtWIYwLrlqsL4jL1q2ggNtxzi+ldXsfsXSW9KKFRAfPBZqUtUzYam24wsDIZLCiUe+SerkchiWxErb7Iqh1GZSa74cgRR28UI/lGTTlYuOqZez80RNYPpbcVKCaYHeDn+B0O59T+EvLIj0yUmyaLvnGoV2IiIGIxSAeQ8RiCB+B6ldEoVGEuCAKaphz6RwDKK8T7aa8quMUgqwZzmOc+4QpQAC4uo+h0qMwNJTg7/7zMJtuPVVyO0OwwgxOV60yHhS8jCcjZzG7b9zut2kIOvanybVFSM+NY+QsZEQgI8GsyEjGopBonAJn5CxmPz9uE4KSNnFP5C2aRgvER0ziowWMgiTfHCHXESE+UiARNci9uJ2jf/Oz2gWnsjjB+8H9KsFrssz9pWR80QJGL7WfhWLRebkddVeNSorWmXBQTqxR+1Z7ad3g9kIaJ05gzZrF6N6D7senxlk7p4vd6Zzredyur8avFhqwLS2VPO6HoMqA30s9FQxcN+Fi5XKYR48T71le9rmfxQmNtTq9xtZQi1NDmWvRshAFi/bVy8E0EVLaDdNjUdtl3GDLtB5lKGhczw1BY/o6psra1OFVzznsOxBEsde3+/XAdTte7TPv4UfIdbaTb2uDZAsdp04y9vu327HL0TGGj53yDMU4XdIdSxcgm5tLhB03hOU8RPcP0PT0s0TOnsNctJD8mlXkV66ApmInFcsicvoskcNHsObOxly4gPj2nRz/6N82JsbZvaz510J4uqKQAsui9blnwTAYBdq33AqaJqwmkvOLveMT95SqfgRhozrhVk3Eb9/2jWsQebNCaJZZ7a0tkMvBxAQUY7d+ZJzR/j30AfdCKUZ0Y9fl9O0e4I4Ablq/Qu46vLpdTFf5MgBMy/XFdQpGZ8nERsOPgOJEUPa1H0rfu2EgDYORg0cnz2maiLwJo2MQiSCTieoNAgKi0bHrsF1TgqZUOfcNi2rHOuO4XtudJf6qWZVejS307X6f+XnYOp56ikguh5HL03bkOIUrXsTY9dfall06zciBI2W55Dr0tUzNgbFf9iENAxmLBS7SUE3xMlf22KX+LIvI8ZPE9uwl8bOfg2GQX72S/No1FObNgXyOpq2/JPnwd8lv2uB5PjiPrFqvajjOz3S4CY2gL52fqycIOnbtYaRnBYZVsFM5ohHfPEjwYLs6tnlN/FrPq1CtpB5gKwIn5jIx53Sg3nhei4sf8cer/dN0E31CYWICY3yc4dNDvrv5hQ2c24NqyWHZumHYv35wi/M63bAlV3c+j0hnAIlMJu34KNhs33yeVN8uu1iIEMhoFCsSqVBEvJQhL1dstRZjbp+7oXV7H5s/ZKdUKcXHWQlLL6GnQ/ckeTFbnajXXe28b72WtRqTXs0LqGAHu51L9eR0K9Gn4PS+QaXXcc6zKaLpAmNLmhhf2DTpkpWSSNZBAgoAUZCIgmxor07Pa+UtEkMmiXMmybzEmhXDXN2MNTsGQnDs//6oMa5aHb9KlqfbBFEYPDQBBYu5z40zttJmzKY29dL+9FZEwaLQFC9p3l6xO+fEditV51UhqCZLyzSJjYyQfNlVrpvLFsf+PUSOHqewdDGjO/eVGHr6wqHX37xbY/W55aEqBBH+QRBkwQzKpgyMVAojm8WaNavsYzeh5tU9xLlfragmSJXgDLJAuyX3Bz3OFYUCIp22qxEJYbt0Y1FkvPhOFAWpyOXsfaJRZDxWIiI1kikdxGXrJA3Vm+xfDV4F42uxWGtRsN3OoR9XTQH3cmXr448Pj5BrbwPDKF//CgXGn91OIZkM5KYteba27yYyMUFBK5fnZl16HV8PnEriDzdcUbvgbN+0Xl72tc+7bvNbFLwKttejgYXR4N2qf6gF3i9pWp8kaoLkYgN0DmSYWOIw302TaCaLmWiq2W1VDxnIkz1ommWVgaotEEa6QHJsMeNzT4QeQ625mfXA+fI0Gqmtz4FlYVUpDlAr+9drzLXkhhpHj2HNnQvxynZNQatxhWHxusKyioMxXEktCqn1GzBMEyObJbl/HzLm3WIqaIxNcQ384DzXp95zZ6lNVzVr06lIuuWAh8nlDGsd+92HgtPqdPYT1ZtMVDtnNYIQBDSaChKjRsux0QQhP/gZTXVZnLrg9OoS4bbNb/tU5Dg5tQ+/cwfRshSSw8uIjYwSG0sxsXhh5QGmiZHLYzU3vnRZELiV0zJyNuHH0mILvsLTsoiNWeSr5DY5UUsZvQvaRYs9NyOpFNIwKgpEgHdbJXVsNTTSTWtfdAwjm8OaM2kdhy1fWbfg1Ifj8gzU+za+dj1GLkvz3j3ISMSz4XmjoAtXNS7FNYDy6le6oq+T3ZzHKjgFktoXvOeB3nnET+EMIjB1q9HJFB4aSvDxJ+8r298ZqvJ7zvo4/QQLeAtRUbDzNa1YeAGo531OJard25S4anW8EN221R4aTN5Xy9EssmMjY+vXub4cnU8+idnaUrIeVRzCq4uA+kzXAJ0uyDA5aDD5IqY29RIdGcFqavKMwTqttd61PfT/5Besu3g9T37/iYp79FvsnSX7vO4pKMLWIg2bihAExrlzrN2whmixq4wXggqVRvS89EylsSwih49SWL60YekffqhJ8cnnEeMTEI3aZBHDCEXuCIMglp4TjXbZVntvpzIX1Hkdv/F4ebv8ShZ6wfkeilyO9nWrGBk47O6S9TGejFwOKYSvR0KHX4qOm7EXVJFsmKu2Hlp9mN6ZECz+4skYpbpVG+ZF6tiXJtsZRUTLE+LVxPMj4oR9QcL0wPRC3thPzFxRShsItDCYFrFxi3ybESjdIKy12RC2Z5XzhNnPz70fHRmhkEzasboGYyosbuPUGay2Fnov2RT6HQ1CHqq1YTeWRSSTQQqB1dTkOq+qKUrV1oEgAriaAuhcn1Samd+CrDd/16/hR/gLE5bR1w8/cpQbUck5Th1urmJ9zQziqnXCzXASeatIDqvBaqzDzesHkbfoWtkSmKw05RanwgvJ8gwzIWY9n2LwpTditrdXCPzI0YdoOzq7JDh11ptfgWIn3Cy1oJanc//YiEm+I+rKdvUq/NC7toc3dCzkq8/8DGP2LHYeO8Vocdx+8cRqndr13zr80nGCxA5rSVEJKrTWJmJE58zBaPZnTU9lI+tQGB6xiTldnVNudfoVDimDaTL+TB9WMoGMREIn/CuIfB4ZjdK+aW3V44OGaMKkn4SBG/EoTAUjt7HVqnirv8OOIUydafBWlI1MBhmN0rZ5g2cmhBd7GSkrCEJu8AubAIiJCaIDB4kNHCR64BDG0BAj7/5jZHub73kV/Ppx/loKziBCEyYZtfOfynPsTeU1bnXNLRsfIJKXxNOLkIZBeuVqIscfIzkyHykEYxs3YjU30967zvU6ZUF7jWih/k93H3EtrK4LQ/0c0dQ4Y4vPAlBYfFOFQPbSpPt2D7Bx0TzMwSGun7OUfz68r6QAeMW3Vfk9VXVFwak06OSFoaEEXV0ZT0ZuraSbaggsOGMG0cULMUJanOdNgE6kMcZSDJ8tT58JE/d3OyYoKp5rPs/4L7fTctlFgRPZK1AoEMlkEJaF2drqKTjDjNWPbdsIeAlO/RpBhKIb+9ftnF73EeT6blZsLW0B1bl0tG7vY2LlKptj4fP9+ym/RiYDElov7WV0x96ybV5ztKNnKbkfP0Hi5Ema0xPIpibMnuWYCxeQ/MGPSN/wGszlSyuOc4MYGeXM7X8w9SX3/DTvaq6WsC+qV3WdoOcJ4i5Rk6j9UBdG9phd8V+DU4tLtx/AMIGChIigKbWMdPcRsCxazizCyOexosUmy4UCwrKQRgQrYpDtPFYqcAyQGJ2PZRjkWo6TGJsPgBSQ6TiJZQiI2uf3csW2HptDasGpmiu8RFMmVtyo6ipxWwQaYQV6lRsLcw7n+arlCOuInztHrqur4vkFCQOEcS02DLkcxrlzWAsWVN21nqbYQRSDsef6MXI5CslkbfNPSoxsFmFZtPSuQ+RNZJvNbnazLnSFzEn2UX/7KXQ63Fyc7RvXlFKw9IIX+nZnKoxfAQ+lhKr10rrv/lCtztw6ESWHl5XlZXqtjW4Wt4LzGEUQCmpkQLnhFMlYoXM4nRCm7bItxL3PE8laNJ/IkRjMIw1BtjNKtitKri1iF5UvSGY/b/fjbLnEn7NQOudAmtiOFPsf758eixMufKszlLUJdO0YZ+zia2i65qWBiii4xUZG++0yZsbEBAKb7dqya6f9mWkCYBkRiEYmFxvTtC3N0RX2/5YFlkW27QjJoQWkV/Sw+WUvZv/hY4wdPm7nyEVjNO/dTSSdRt7+1rIm2nqxdnUPqU29ZRWNbuvp5Qu7nuVV+Rgf/c4jwOQCpRYPp3vSL57ijL84+5CqBU8xGHXWIpR3nmgEggit3rU9vr04/Szv84ZcnvSTT5N35J1OF9RzFek0KEHns2B6u2XtVBUrHkPG42XuviDHV4Me+pjqHE4/OL1H+udelmhQwk7Y0oG1lBqsKniLsW29m5SX98NZ1aiCZGSaGJkshWRi0notFGg+epTW/QMgIbWyh/SSxTZTG+09z+dp/cJXyF51BevecEPpnG41lds3roFcjpb7v0U2ncV865s4u+Xt9VucQSr2+LGZGrX4uQXJg6QEBA3Ol00kKZm3NcWpy/0XAqjspgLBiqKHYbC5VuyxLNLthzAKk1U3IhmL7KxoSXCGWSgiEwWkIbAC5FE5XUJTWRYvKFM3bCUpN8TPnCE3Z07wwTmuHYbU1hBYFsbxE1WL0nt1wXFu94OXgiAmJqBQQLa1hX/XLYtINouEEomofeMajKFhrK5O3zi619juvuFm3nv72yvWB6eic7dLmy5nYQ/Vu1NZr860FLdUD5VfqlfNcgoPv/xKBS9BWo2Ep9eVrqbwe6W7qHc7rLFRFzHIDZYkkpMYOYuWkzniowXSs2NMzI9753takln9E0zMjZGeZ4dcfO8ja5H44SD59S0UltmphX7koKqrYyGdcX0RRvv3VHzet3ug9DNdaN3eh3Xf/aXx6JOjlk4K+iRtGjJtkz+Au2Hw0ISnte3V6NkpVNWP23b9PGX7GQZEDawmg0JzBLMtSr4tSjRtVVwvCIy8xAoY2kt3HqJ7WXNpXH51NuuBUyv1u4bbvHRDPcKrfeMaTxdzIyuZBIZhICzLdxc3IeMneNzeYU+hOT5h939ts0kXYe5d5PNEJtJYsRiW5t4d27aDsb0HIJ8vCRf9R43HbUx333BzWdMB533e1tNb+uyuRx7ktp7ewC3j2jeuKV1Xd9eqe1aC0rrvfowtt1YITX1ffexe65KXEq2/A24err7dA9w70Efv2p7SNVObqvcs1fdVCOtFNAogvUOb4WEICk2Cjv0Z8kmD05e2MrY84S00paR75wSZWdFAQlNMFEh8f5DcxW0loVkNDXfVwoXtrg2T0Dv7+Qi5jnaGrr66wr2gQ09CdtLUFaqRNKrR1511Xqst0Omf/ByGHie/6vVlxziJPmoBefyBR7n6luu5dlzw/WSBn3/zuyXN2lnMXHehfuo9dt1P3Y2r9nFLHFfbnH0/pxJhcgb9XLVelH+37dOJ0f49tpU8a9a099Q0Mnbz69ZLL7I/sCxENsfo7v20XbyxNL4KFN15zbt3I6MuyqmUxdDEYZLDixhft55CIhHs/qS0FYlCgdb+7QgpQYIVj5Wucz5dtVDJDwjCeq3mnfLbrluPtazPgZn9254jctP1jBw5af/vSH+pFubyQuv2Pox0muazg5y8/jpvY0ZK5u/aRWHBPLJXX+l5vlLq2ViK2T/9GYMvvtx+fzTkPvCh2l21xqJFMnbHH/nuo+C1IIUh7fi1z6nVmgnaJQG0yafctJe1ulawqGUC+k3yMKw5v/OW9rMs4mNW1U7nZbAs2o7PZWzh6VALcFDKfBBXrhvTz8ti16/tdu5qVX68lJhaXbVh0Uir1Dh2AmvenFClH72Ev18KURkyGbsGbXOS1LYdiHwehMCKRhEFC5B2EQ59kZMSI5tDFOySkNKHdVmGIsvWitnxTz32DvDF/c8jJ9Ls2L6b9SuXsvPQMUb3HrRTYS5aD7kcGxbP5+2X/oa9/97n2L7vUOkcQ0N26pFie+vuWqUc6oU+vMrs6S7ayNGHaLnu3SXr0wldsVTncbp3veCWFuSmTHvl0Du9c17XClpFaPDQBEbeAgssHzJPvejYO4HZHGF8UVPlRinp3JumEDcYWz6ZSuY1bjGUp+nxYbIv7UR2VhZbmLY8Th0XqtXp9RCd442NmnTuj3LydTeVfe7l/tVjFn4vlfNv9b+OoDlvbsnPavvVt1xP/50fZviqK8v2VeNyWxTXd7aCJdk5Ol5Rggwq22q5FTp33o8ec9GP82I9uqGWnE0/VHu+qnB6o4sDTAXUs4sNDdn9EIuCsxa2elC0b1wD+TwTW5+jddVyZFMTxOOM7DtYpnCJfJ6O5YsZPnIChMDI5Wjt32739vQQmF4M7dbtfSAlE6vXICxr0vq0LPu8O/qRRgQZMTwXbZHPAwJhFUoWaLr7SMOeS70IWynMqVRWIz7VXHfWb2xF697I5Uit30DLi19Uwe6ttRi9OraURrf1KVpOnuHMS1+C2dVVcVzns8+BlFhv2+J57tL7MjjErF/8gjO/8VIKHjWp/SzOxjTUc4EbWcZrv8FDE2W/gxwXdAz6Ob3gdq32I0lGe9dP/l9ciNyo3u0Uv5C1PWXNqnWB4rdYu5EXoPqirPIn9bJ3vWt76AOe/NzXuOzd76T/058vtVGCotu1+Ldyz6rPXmMleTRzjt4F87hetJJvbqpw0+qMWHUe5zj9CiYo3Nh1OQ8PbS3b3w+NEp5BrbygaRvnm1Wrnp0UdpzTXw2u/1oAWBbRo8doWb8aq70NIhH7+3N4KWQsxvDh40THUrTu7EdGo7bA87FG3Bbo0sIrBM379pbY6KojixWJlNVl9oJUHVuKlzdMk+azi+zPmVr3bRChFcRdq293E5J+wtNtnQ0CvzFNrF1HS38/Y5t6ae3fzmhrqyfPJCgR0iloW7f3EZmYoPn0Wc687KWYHZVpJa379mPkcgxecTntjm3OtUXkTWY9+QvOvPw3qhZZ8EJDXbVQv7sWgmsofhNdT7twopomlO48xNytY5y+pAWiUxczqqUqiBOuL4BpYQyanE2bga6v0lTan3rK1sJXrqJl504AUhddVFbzdirIP16oVWN1Hu+Er/C0LDI/+0VFvKMW+LFsG00eEkPDSCGgSn1dCJ/L6aYUGIePYi1dXPaZp/u7mEoVHxwiN9s7DhvEdVg6v5S0r1vJ3a+7tUxphMlyeG6eDzVGxaZ9Q8dCjGiUZHExdrbM0xVHZx7n1bdcz7aP3IOx5daSO1ZZW3q9at3Dooqwd3Vlyhiven6n85n7KaFqmx/zeLV5OQ/svy+Ql8ctL9Vvne2e12SvkYbEOGdizSlXYOoxgNTaJs7mbJfqNV3Idvf6tdGd48i4oLCyukIQf3yYwqImCsv9iUDnxVXbaNTyBVTts+mBaMqk/UQnZ655RaDr6JPeLRlbodrE9bLU3KxQ/YW5setygJIF94vPfJm733MnH3nyJ65NbnWoJGxjy61sXLGUV+VjfHf0JMa8OfRv28m62Z3ElthpDjd2XU5XV6bUksltLM7PnPdRCyGonsLubqhWKm5tIk585fLA5zvf7lqA0W07iI2MkJ81K1B6Vlg4n5neQNuP7KbDyOXsTkLRCFa0mC41TWQmr4bOQCk2O3bxJTV5Ntzi8kG8XG48iXoLstdK/vFD2Zgsy3bPSsnEmrW09j3PyGWXQyRiN7tonmRGB7HgqxkP+bnz6X5qK6df/jIKbd5t/mLDw7Tv2MW5l0wSgtwU1+bDh0kePca5l7j3KtYxbeSgRiNMhR8n/Ioje/nflZsjNrQLMxFhYoG/+ydofqTffmFqWDrhaW0OTWp+6W1zAhGtXPNNLYvsosU0nTjuOiY3EoOT4NVIC7UeC9RtrK4CNJcn/dQvyRdjKPWW/5vOtJTI4SMUFi/yFUa1VA5yUwx0wanDjaxShmI8zMhmMXJ5+6N4nMShA2XjrkU5cuZGqvhb28Y1YBjcfeMbgEmSz6ZVy5C5HK9MbiQZPUehaTnfGd8GUJYD6VREVF6ns/+lbqXqPTGVBazv42xHpm9TcFMy3VJPnPwFBd3KBaqeuwyWVapwFjn6HURRTEjDrmKGIZACYmMF2ja12t/dcB6SEWgqn39OQe4Mz6nPnDBOZIlvHSX7yi5kS5WoopQkvn2WzE3epD4xUaDpsUEy182CAO3O/CzOKYtxNgLVtCw/oZPuPETr9kk3pDpPtQU93XmItn0mZza7sLY8xlHrfmFo6IGLGIyZWG321zp4aIJCgAXISTgojamYH+i3iLlp8s7f9aIRsU3nmFKbet0XpEIBkc1iTEyAMGBiwl4UihWeGmUlVYsB1wKZTEAmAy59RBXcKj41Cn5M5RIMAyuRmHT/WxZGJkN20WIEED90EKJRWp+3BVjqos1lh3sVXtHdnJtWL6d/Is26xfPYdfiE/R0WLEZPnuQbh3YhRkYRlkX/L8cgGuW3b9rMV44O89alFmg6gp5uVRKEmoBSMX7FMbirWLdZ5zeoPErrvvvp23IrdzjcyOp+3FzC6hxufUDV306h65azCnZ9aF1oA2xas4Innt+JsCy7xOGOfiZWryGSyVJoaUYaBtKI0DSxnHTXYd/vFIC4gJxVITjdhKL6zMsyj+weJ7Z3gsyruqA5gJgSAtkSQYwXkC0uxDMpif9smNyLOwIJzaqXe6G4aqcCbi6NSLrA7O1w/I03B6o7qi+Aitbe1WXntjndok44tU9dc/Q7RmnMFQt/ahzx1QeQv/O2snE5czXd3MmK1q+P+fEHHqWzs411l/Xy9ouvLm3363Gnrvu+K7eUqP2KCOR0Z7udr1rdz1oRWEiNj2OcPcfaSzaBWUBaFrJQsF1UBTs3UL0z+w8fY+XSRQgh2HvkuC1oDcMuK1ISsMJegIQofiZKn5f+R0x+HlQoF+OG+vPqnDsLq60Vip16poRVa1lEx1IYuSy5OXNCKUd+CmtqUy+YJtHxCVp27SwRf2TE8OwrW3GODRsxcjlEoWCnrcRitPZvL9+pUCC1cVPgtB0vz4zu0fKao+rY5OYzZZ9Xc6WG4T6EITQlB5cUhaQk034UqLQgERAbLRCVK6tWPUtt6qXjF7+g0BS3n6dlEUlnSC06U7Gv63jcDAfTpPXwUWQkwunrXlMibgVB267dWPE44z0rKra179iBMAuMXBR8PXnBumqhMR0NwrhDWw9mkDGB1bLGt0WP13XCjitM4rPf+Y2sRXdXHGtWlMEjmUAl8AKV4DJN4kPD5ObMDnUO13MRvi+h8zz1WrHV6mwaExN2uoMHRd0VqmqP9tso/t26egUgEQWL1O79CAmtq5aCpfa3c99AQsFCBODFyhItVOXLCTDAGBvHXLAA2qozBb3qDbuhpNhkMkROn8Fqa0N2dfoe0xChbVnEz57FbG21Cyw4lIo7L7uVh089zrXJjbQ1j/G3P/kBMtFEb7ELke5KBdjUs5QdzzzPujUrkAWLXYeOIeMxNm1cgyimxziP8XLNKkVTxx2fuKeiiLuz6Ij6X686BJVWs4Ibj8Dp0q2G23p6+epPstywdphvDh5BRKOlHFZ1bh16HrMfK7Z7WTOkTcgD7baAM07nsOaG6yqkYJzJEf/5MPlNrRR6grN+FcRQntiOcXJXd5af91ye+NMjZF49yzUn3wu/EuSgqYKu/QnTYv7WHMdufn3VJsZueZuKpAOTRB0dbi+G2zavouj6NoXR/j1cdeMr2PXTX7Dulb/Bz7/53dI2/YV15mW6xTucBdvV8WuwaFq7qiJ+4qwApKfFKIsTKpmKN3Zdzt4zsLoYjlAMQ/2eGoFaXKHGuUGsWAy0nn3TXSUobF4vALk8keMnKCxcAPGY63nqgmnarNjuLlp37Szb5FXMI4zl5KlMmSZG3gRBueUpJekVPch4HCsSqWhf5XauTOtBksOLJ62YovU1sWYNCEHBo9m223nDeEKqMVPd0DCrU0qMnJ2C49XtSDcOupc1k3+8GbO1JVCIyZhIY0UjpF50KZGjDxFNmZgJI1Q2QnJoKclTZ4iPjDK2fIldr5gaQjRSsuDhRxhbvZpIJkMkk8HIZImPDHPqmleEU4bxtzintz7XBYaKoPWeBCObNvkKTVXL0Un/VkKzqytDV1emzB3Zt3uA23p6ufuGmz3rYuqL89033FwhjNUxzkW8dXsfT3/hfgpz5/Dzb363bMFwE4jOcanrqbGpz3Whe/2ilRXjUvejzq/Hdu6+4eaS0PzcMz/l5vYF9D3bj5nJcH3HpYAtNLu6Mjw2YMdf3nele9Jy+8Y1XH3L9aXn7mVxqu36T00wC55uPPU86hGatQgzt2PK5oFp2kJz/tyS0Gw0oqlxzLa2qkLT67Nq8PQkRKNYyQRGvlB+jZWrsJLJqj0fdQgpkbpgNAxkNEJyYD/JvXtof+5ZRC4XaIyqZnIQD0hqU29F/qUfnPWq1Y/f/l7nNPISGRFVWwTq58+0nZz0nniMNzm4hMh4Mf5fXC8Li2+iaWIJhmlbo9XimGA3lWjfdwBhmoys7ikJTajBuyQEQ5dcgoxGyM6eRWrlSoYuvYTjN94QWmhWvdSF6qoNy6h1fjnOZF8lJJ35nUpzyiYHmPusycja1WWBcL8OJ43UImtZbFR3FDNygHxHtGpPzKAvuRPR0TFadvbbGrlDqFRLao6OjWPF7MTzdE8PwpJQdEcq8kHz/r02aUQtag0i4FR7pm7fR3bBQvIdHZ7CM2zctVpdXKjM2Qt9rtExjHyO4ZPnalYYnK5bp3JgnBsES2LNaUzrMr/7VGSYUpu6XI7o+Dif/NjfcP8zCaxchpfMGWPRqray43R2q457B/qQeZOXy2UsWt2BEYm4ujrfsmIT6eFhPvqdh9h4ySZELMptPb0lF6zODXDG6Z1eoTJ2bxFOxrmz8Imz3Z46N1TWi9Y/8ypQnx0bw8zlyBnlXXOUN8ytS85o/x6iwyNYiaaK2LJuOUdHTQoJg67VDoFkWogREzmrirvWkkT7UkQPZ8hd1o61oDoZc7ox46r1gG5xznlOMLJ5M+kliz33d4tH6Kw1leOorC39bzfoL4X634067vVSWvfdb5M1JtKYiSZSF19ScQ29ca/boqLDSb/XX2Yrl+NV+SYW9G4qK+jutkipMVumyece+zZvuHySKKTf05P9BhcvG+XcacH+Ezk2LR7lw//x73Z8UGm8SqAaEVrWr2LdupV2HdLdA2Xl5RqFtUISXbWC/r0HS59Nd3Ugv+R0HaVFL5fHOH26oq1YLTWidTgZ05HxiUkiCI3J0wuEXJ5C7BCx7GKsRAIjl2P04kvAMAKVdkt3HCSSkXZjZS3G5Tk2yyLds9LuJ1lU4IK0I/TjFeiKer1wayCvjwOAgiSSl2XNpKvljSY3n7ENjXkJss+1M77gtOf1TWM/+VaD5OiK0j1Hjj5E97LmUpzTLdVk8NAEsWGTrn1pzJbZpOfNDaQkT2XLQi+8YMhBtRI/3CzP9LY5FYnI+qQpLL6JyNGHSA4vIx/ZT9e+DKkVG2si9+jXDpN83LCGupZFbMwiKm2XqhshJ0gKj9exCsbEhK2F6hPdsirqfRo5CyNrEcssxcibWM3lFTq8FjrXMWpCtCRQpURYdhK2ghTYzNXiT7rjuE1RN2zmYInp6oDzeURT45it/uSaIEW4FcIK9ZosTmD8yWeI5HIkXvriuqx1r5rCALlDR4jOmYPRnKhbidBTVxQL+/2f+ajn/kYmQ/viefzlb76F+/Y9z5ZVF3H6aI6FK9uIxNzd0/cO9LFlkf3MsqkU3xypzEfWGeWqsAfAtZHV/PNz/wPxuKui7HYt/Zz6fSq4FoUoVhvSwz/OpvHVruncbhUKpE6fJh9dwqw5ZlkBe+d9elnH8dNnSFxzdcU9gC0go6MmZqtB94pKF6g4l0N2RCvjnLkC8a1jiPECuSvbPasAXSioqx/ndKEetqSbjz+5+UyF+1b/X9cAu/ZlGFqVqCpcCotvKruWU+iFrdhRLW4RGIaBcHykx2AaVYNTRqN28vrEBMZEGmMiTXR8gtZjczAyFpj2T8vpuTSNLyLfdNiVxRZEey/BMGwLJxrFisftHMBkkkKLTWBQP4Vk0t4Wi9lVaYQAKYnkLaIZi2jKIjZilv1Ex0zy0f0YmYzdsSOXs2uZVkHYPFW3XpJhUU0AF9raaF653I7R1gCvBHo9riszWYzmRMUxtUDdz6fec2cpJu5sP6fDMgyMiQxf3vYkb9lwGdlUivb2DEY0WhIMYAsT9WOlM9z79E/5Ut8veOD4Ptfz6mlYiptwW08vs+dKNixbVLrHu2+4udTjshqCVlJy27d3bU/pGtU8RFApNKWUjJ89S7Krq+zZKG+Y+t/JdVD32b5xDZgmMmL4zlUh8VTQZNyw8zl1FCwSj5yjMD9O9tXdF7zQrIZfe1dt4kyOxPg8zr30at999RxL52R9ak+ixBD1QjWXrV8HEq/uI6WXscg8tJL2S6G73dzaGakyfTrr1auYuw7LNLn0eIzlmxdx/7F9vL5rId8aPw2WhTU6xu7tu1i9Yim7B0fZuHEt2W193HLVK+heurQiFuPUgtU4qlU0+dR77iy5wN1ySoNi4+rl9O/cx8YVS+nfuResAkY+z8qONhIb1/keWy85KGj3Gyf8jhvt30N0aBizpblE1qiGsMqqbo1PRTqYDrfzR8cLxCeWlJF8VJk8JzKtBzEKkkJUEM1aFJoMZEQEH4+UGHmT0Re9qPRREIXP2aTCryWe2u7FE6hF4W0+u4h0xxGkI8k/iDesdE3TIjZhkS+mmFSMRfNwufJMchaMF6BrUjhG9k1g7YkxsWhh6Htyw3S4bi9oV22ji4Z71YnU/e2DhyZKk2HOsynOrUtiJSeZefVMZmcZKbeYQlDSSrUyfaVA/ZiJmTRIpla451oVoe67GvzqenrBbazGRAEMQVOmMiE5zHkUpiwxXCsxaGSyFa5lL9RaFq4aakpHASaeeJrmi9aXCiAERdD2aV5l9mqFYlJ3dWW44xP3+O7bvno5H3jJK3jg6B62rN5MbnycllmzMIrxVl0Rs0yT1NmzfGv8NEIIzJOnicydjSgKW7cm63qq1MeftAuiv655DoWm5Tw8tLVMkVxtXs4VazIVyp+eUgVU9Lx0QhGEVG6nGht4fyd+FmhuYoLcxAT5yOKycekWuRNuCuho/x5i586RvOJFkGiqcOUaqRSREz/ASkbcGbOWhXHWLMvnTDx8luzLOpGtF3SxujLMkIM8MHhogtnPpZhYtAbx1t/y3ddZIUjBbVIqt4j+f1C4WX9uL5NumXU++WRFXM7J2lPQ4zle41Rj0Iu5O115fvUz1Yu2rjXJlt4rSHZ2lra5Eabcanc6r+G81vuu3MLeM3DFmoxrTdFqcG3flslgjIxgzZvX0F6cznhekP2dCHKcMTjE6P5DWD4l95wIo7g647/1WJ1Opnq1XMRIVtI0vpRM62GaJpbbHhaP1Jts8wFkRJQszO4lSQaPpF3H4Qcjl2P0RXb6VNDwghenwgvVlHQ3JdqLHCQKBTLth+lcNRl3rHUMRsayWdTNkYp9lKKuxzCd9z07GS0JTnEuR+THOcZWBlegw2CqrM+ZPE4fWDFBern9hToXLP3/q2+5vmIxHRpKsLdYXWrvGftHCQWVzxlEaCohqQTIXY886FrWTs+zLI3PsuxSWQ6oF13dg34vKp6jxqnfD9i5o/cO9PHxJ+8rXfvxBx4tXd/vOY327ymNT+bzfP343rJ9lYar4i3qmqqmp5uA0HMz1bUUueH+Z+wc0DB9Nj2FomWV4jZ9uwdKP+p/Bf3zatCff9Ax1soStqIRhGVV31FD2EVHzy+sBW45idXOZZiSptQSsi2HseLCLqkX8Vi6pERY0NXTMuk2LQrNWsYdJi3Oj1PhJbC9xuMUis40OHVcalNv6UdGIiSHFjF4cLzifF65lJ5Ki5QYBWnzFhzjFBYkU5NC0O3cVgwYses7W1tHSXtUHmsEprPVocJ5cdVO9Y0GbesD0LlngvTsGC2XdLhqZ/W26dFZvlDpBvWllBfh67rNW0SzFmZrtGI/r2cQ1GWrzhWmM72O2c3RshKAtZwjDGqNC6mxZZsPkBxcULU26lS5aBVq7t+ZGmfi+Z2YHe2hhW+QlJvI4SMUuruhtcWzNFwQvO/KLXzpx/CWl1NSznQ4PQ8UCqyf3cVtl7yE0fF2/mfvo7x+zQ0Vx3V1ZcimUkjL4sOP/zB0Gzvdbdq3ewAxPMJ7r/8DgJJ3ww3OXMtS/inuqT7ODj1hSFbVyEITQ0Pcf3I/b1tfaSg5vUtOdm0ZTBPj3BBjBw5z5f96U1k97cyPnqCQfRLwL27ASB4KksTPRsi8brZvA/MLETOuWg8MHpqg7WCa3MLLiL7uuoqWSF6Lj1uJPQVnDqfeXsiZr+mWvOzG2nMj6qhWRamnngUpsbTO624Lu9sL6mywq66hF2VX9+vX/NbtWmAvtBte/fKKe3S6t9Wi5FVW0A2j/Xv42O9+kMcG4NZLw7lrPcsebn0OUbCq1mENiwpBEHB/J6oer7maw7J3AymzloUZPYCMghkPV1atURCmLC+b54CRyzM++xjdK1o8e15CgGIkBUnz4CKkR6qLc38/JdV5zbD5r0EUtdL3Z1kk15+BhFF/X07TZqQrpVyNOzZqkm+dLFLiKTwti9gvx5hImZhd/oS7RqGRbtsLghw03ea0syOBDn1CtRzLIixILbErVzQst7IInYykUGujXHemoUksvays0o1fRSUIZ3G6XTdo9aTYiEnbRe2eDEO/a5wPtJxegATfkothv7tG5HEGFrgezaxrhZtSZVkW1vAI1uAQoqmJyIJ5JYJOUKtT5wg4CTV+Y7mtp5efPT1BpCnJusU2gUvVPO7qyvDF/c/z+pa5/M/EGc8uQkHQvm4lxugYVnsbvRtWI6Vk+54DroXYFZlIwetabix3J1verTSmV66mDl0Bz6fTfOhb9yPb2zz5DHqhlqGhRIkM5Wp1njxVVlhjtH8P8TNnKaSfcM3hdCLx6Fmyv9FZvZ/mBYjznsc53UIzzCJciAsMR85RNTevF9wEgxIatdbv1J+dW76qKFBRgMB5ff3Ha5wK1epi6vv47mdatC+yX9Qgz9M5plq/g1qhyhfKiozY2tHI4gfVjhvt31OWz1tvgXd1vFqQ1W/DMIh2dxFf1YNobSG/7wBWsb6rb/zYBWGEpsLyjjxGNF7iFOh484JVPHjqQMWxqtaxG/S4evvGNbRvWI0xlrLbs0Ui9G3fzVNfuB9jeITtz/RBoVAW49abOfg9cxWH1O/HKaj08zo9TH75o0qx+ULfL/jy9qf42G/+Nu+7couroFQeMX3cni7taJRVixdUXE8aotjRxwcTJsbpLGStF6TQrIZfe1dt/FyOjsNxzr30alo2rLHjWwnvLgnOMnuKqq7gnKzqb0X80bVtL1ets7M8eGvzyh0KlMVWnHCrj+kGP7asc7vz3GXHTUywbu4sbt70+rJn5HTTque09wwcGbPdrmHyM/Veo9Vc69VwvWiluaurxAKuJ09UodZKQDUd52IhVDuXE2FrRKsqUWbb9CyOLacX2IXdXZBtPoAVFXSvmGT+hnVXGlmLptRSiERItx9k1pwmZHOEwcMTiAKebuIwaVR+Hhw/eJbz63seYZpkOo5ixURDY4lOrxFUsmrLlFzLgqyFkbKwZkVJfPscx3ubSY4sb9iYwqAe1+20umrPB8NJRxhiEEDLkSwts+OcjkkME4yChbDJYMgIWFEDK4pvyTa/QufViqDXg3T7AWIpi6i10nufENevlVLvhu45cSgAxQU1iHv4fLtrW07MtVuKORbGRhV190NYQemq4JgmxqnTWIsWhk7PcZ7breCHl9VjnjiFlc0SXboYwzCqKhtK+Qxrcd7QcSn9e87wG1d1lLbpyunYqVPko0v4u6e+5tr2Tt2bZ7nEQoGO5YuR7W1gWYw/vY1CIjHZfUVKOhfPx+rsKJ0L3Nc8L56BXk5PR8X3JSWbVq9gVe4SLluVRloWXxnYzpuXb0BogvG+A/3I8XG2bLiMifxsV0U+DLNfQT273P6DRJcspv/A4dI446fPUEg/AVLQvSABebsloyhgty+LYr/3UYOm758j9+IO5DQpVo3EDDnIA4OHJujaOc7oxa8kN2d2RY9NayLDzXOWkh0b46F925FSIpIJbl3/IhJtbcSr5Mu5VccB9+4KCs5Gur6YSLNudiexJZMWhk7iCarEVBMMehqIE26W7Gj/Hl581SWQTBAtLjJeRConI1F/LkGegddCpBDGddj/o8f5yFtuJ1pk1QZd2GtFtfzO0CShXB7jzFmsRZXutSDndcKvibxTYTQyRXZ30qjawqpmFCTNg4uRMS9iUI7xOcfpXl6e0+yn/JUp2VIysmecQpMgkpN09DSXrCp1DiNr0TS+rEKJDqKgOvMyXRVJKRGFAtnWI0gBnUuSIGD4aJrOJc0MHam8FxkpL17vdn81K8BtUYgIho9nMCxJ59wE5CWjpzJYcUH70maICYgKV7JY7OlRRrDIzIlXtbyhcUZFIzD4la95Cs4XnhrQYDSNxsg5WJS6ltp/5Di9a3uIr1lJ3859bJzdzTcO7uDG7sXk02mEMIi3NBNvbaWptY24VnXGS9Pr2z3AkFbyToefEHAusCKbZdfx0/QuWeS6fxAEsab8Flpjy620Oz67+pbr6f/Jz/nQb76F+0/bMScVU9FL/d3/TILVbZezN7q1LJdVwY2w4FVw25XcEBYFiw9879v0OpSARnZfCXpev2fue2wDZZZXMX61uOlCwEoY5OIQnbDAnEyc14+p16Ng10f1dkNm2o+BcH8AbuzaCs+UELagsqRdb9WR4D94aAIZEQjLKu/r6QLXHpZVGnyLQoHkmjPIJkEiVk68UUUNuoq/vVLnnAgrMCtbMQqwJEQE7Stbit43g9aFTTZvYjDneW2AMdMilimQmRPMo9Sw+t1TjKoWZ7S7W3Zc96opHcRUuOiCkEsGD44z95kU5q3zqk5EzwloWVCwk7QN006+BpBR283bqWmtbudxXiPQuItuTyOdsXtdRqOePUMhWEzFz8W9aqUtmPftP1Z1bArGmRzWrGhJM7+QXLVeC1hkfJxCS0vNeZq1CtlqFqDTmvfaPrptB51zZ2EtmBd6DEFRzYK3TBPz4GHiq7wVGaX0eNUcdj5Hdc3C8AhGSzNvXfsintqT4MgYXNszqaB+/qkfYXR3lUrrQSU3wKvuc2BISWRigkJLS0VupjMdTHcJO71ZrsX0s1k7HUpTvp0dU6CSYevXk7MavOpUK35F/09+jtXRAYlEqRAK2B1SIMA6my6Q+O45Mq+ZBcWyppGDaQoL4xAP1oD8fGHGVeuBkR2jdBzIcuZ6u2amsw8luPv+33flFt+4gWWaZFMpsqlxsqkxvn1gJzcsXUM8keB/zh0h0trC2zZUui694gxu6Ns9gHH4KOuveQn9+ycbbwdN+vbL+fQ7Rt9fJYo70bu2h+zuffzODW8s1f909uO8setyHiseem1POcsvSIwMKvuUuu0TBtnd+9jTYKK5mzCt5oINmy9bus7KZRhDw66Cs16WrZ/b1onYiEm+o/HOrEjGIp5e7kl+EYUC6fbDJassDJRyqOCnJI7sTpWNI6jL0UsxLAkfKRHjFis3L3Udh5tirSvi1Yq1+Fn9zhrb6tyKCNS9stW1v2YQRA6nsbaNca63BYRgVt848TGTc+uayXXX1yVlKq1QP1ftebM4p8q6CPOlRvZPIFIFzM2TneRrjQVUTW627NZWKl9AWabtixK2W8glTlDtZR57frSmBUp/SZLDy3xzXp1j8BuPDtXMVmE6LE6vhaFaA18FVYu1Hiael8XpVrg9jDDzEqpl19MKIDQauiJiVSnrl9uzn8S61YC7ElRL1aHetT2YZ87xv178CoaGEjw2UKlwvWXFJj7/1I94+xWvQAjhqlQpq8lZ6CTMd9H27LPIiF0AwDlX9HNV8z64KXfbt25j4yUbERpBTSnrTuKPgm5xujH9g0DF8525pH/x6U8xPDRGe+86etf2sO0j95Da1Bvc4iwi/vgwhTkxCmtaME5kifWlEOkC2Wu6ke0XZsTQz+KsacRBmyJXO75eOBfEsJqQcTZPYVH54u48r1tw3W2BdnP9le1nGCAs2te1MngsUzr3uf0pjAJ0zksgxguMFre1LUmyb9shelYvgrjBwKET5WNclKBjQQJrTjy0sNdjGOnOQySpLWfS04VrTSoICkHmSr1xMK9jgwjNqYLXghzWAqzaMcWyME6cxMhkEdlceT6qHhe0bEVZUKkwr1y6iP2HK5WhlUsXkd092c9SuFl8gpIFZo2NYZlmqTCCDjdhEaTcnzRNRDRSSl1SQlP3ynzpwHaMZJLc+DhfP32gwmOj95x08wQEFaCpjRvtMTnSYvR80LC4raeXL+7dhigUSs9R96joCoLbsQpdXRlu66qs1KU3cFhtXl7RBlF5qtQ1+3YPcNfuAdYsXsDTI3bt28cfeBSKikJh8U228DTtmDamhIyFIbErmcUN6Jy0JnNXtJN45JxtIOQlxmAea04MCtX7316I+LV11Q4OpJj3zDjHX/8miEZdJ7tb/81a4wn3DvRxTUqy8KKLXLfpL8lvL9/IvTu20t+3m3WL57Nn1z5WLV6AiBiIpiZEMgFmASuXY3c6F3osQXMxdc1Z1fBU2roXI9RmI09gnh0kvnSxK3tYj/PcfcPNPLXHZrGqsnt+C6ifC7Zed2129z6a1q4Kdb66CUnUZvVUwDRLVYNKsKzJ78ayGN1ZFH5ViC1uCNN83MhaGHm7VFujUK3UXglSkksepGOtu7vWz4PihKdHJW8h8hKpEaDqLm9X7ADzolevRsSM0rXdDAOnt8jr2s4KX9VctercuuEQG87Ttr6N4YMTdC5IQJHLofQuGQEZNSAKxqiJNS8OhoFxOos1O1Y218S5HNH9aWRzBNli0H7U4uAsSaGl/ljnVHiz0v/2VB15nHNbZOLWTaEvqqATMc4XCcgNkX0TGMMm+cucnNBJ6DEFfUL5xRK8iCcq57Ktt933JfOyoletXMS+vUcYHJjAKICRK5AYmU+2/RRQzDmNCIgILIMKangtzynMIqNj3/ZDYBIqhxOmlhxU9fqWRXR8guFLL7VfdvVTA+oWggHOXwGP4gdeCKqA1BIrtiYymMePs7sQ7rrOa+vYuHwRr0ps4Ei+myvW2P073QhEAG/sWsz9J/bRf+i4Zys+N8XQqSCqbToppn3jGsTIKLK1hdFd+0uf6WOoRkhyex6F4RFEPEb/kZNl53HG86uV3lP7+sHtPHqxFR07v/koVncHa9euZOfhExC385xHdw8QOfpQ2bpinMthddj5m6RMRNZCdkUr3iPjWJb4c2MUuqPkX9zhy5Q+n5ghB7kg+sApzm5qJr/yZk/XimKyPf7Ao3zqPXfy3tvfzuYP3QmEqyU5NJTgoSM/pDA0wu0vv951H0Wi0YurK6gXT8U5dPTtHrBdo7kc5HIY+Tx/dsVLeWh/PwD7jp2CeByrKQbxuP1TnMjORcVZ5F7BzbJ0s0bVuI3BIaxoBNrbS0Qrt/6i+v3d1tPLU3sSpf6azu3qOC/iVr15nIVsltyOXUS6u6FQAMti34HJUoYrly6yXZSRCBTjWyISYc+hoyAMLF3YGqJc+AYUwvUK29i5cxRaWiq6uzRCkIdpaG5kLNtdl2wca7J7aZKRPePEAzRFz7QdpGtREpqMmpU/8LA4TQl5q8QQdSIMWUdB5C26FidZtXFp2XVrsWK9SEnVCrK4seqdfTWrYsSEJgGJ4rOZMCFrQVccsgVSO1LMOmNCXHB6XoxC84XNqvWzOKv6Upqa4ra1EyIV4UKHcTKLmTBoSveQp7xSir4A6wv4e29/O6lNvSXN83EeLXVtr4a9Z8AaT/OqhVdVbNO1P7cWSzApMLq6MjA0+dnkDRmQSEAigQV8L5rld254I3c98iB//dbb+dKuZ5DpLDfOWcpD+7az79ARpGHQf+oMa9cXNclYrKILPVCmfbu5FN0W5DVLFrDrzJDnvbh9dlfx873RHleNGyaFoF/dTv07DGMtiYIk0t3N7kx+8sOlSyrOYZkmmGYxDcnCamoCy0IULEQ+D0h7W+kHkHZTYLe4osL4wBHiRnEPw0AaEcy21lBWb6GpyR6bA1Np/TqRHF4GuTy5Vu/6yTVBxVWl9C0pl+48ZFewmaLQmchayKT7d+IUdIGEpinpXphEJiJlArOah6iaBy/deag0/4wsZOMDGJYkOkZFE2pf9+25nB3HDNIJJwbkJas2LmLfvqNETuaI9Y9j5ixkRNA9O0bu0jbOpSrn6AsNU+6qnUpUI/Hon+vCv+kHg+Q2tyJnB9SkHAirCSaHl5GP7sdMVLZiqsWFXXc1kGXN9kuVBwoWTFgYaYvFPXMBOHr8LFYUlq9YADEDI2aP24gFW8RzJ8aJzkoycKSc0AT+LlPF7q07XuQ8bxAykGlimCZWIjFlHeV9oZiqxd9GNkt0fAKztdKCBGhfv6qiNKBx4hRWV6ddazkAgsZsw7prLdPEHDhEfE15KchqLuBqCk9hdIwdh47ZXhMP9K7tQeZyWJkskfa2irxJ3e2q4OyZ6caUBdi0fDH9fbuQba2eyh14lyiseLaZDMZE2i7hV1SQqlXC0vcB2LJ4LWYmQz6T4dxpyQ9PP81LEqtpa80gIhGiTU3EEkmiiSbizc3ct+958kePs2dsAtrtbALrvvtL59bzTgGMU6ewOjro3byhdK/OfqMlVn7OglQeI2URfz5FYXaM/EVtcIFblm5YtXIRP37zvbW7attWzpKX3m03jf1VsDrFmEn00QlG16x0zUl0vhDKhTkn8lhZUF65bPV9vdy1Q0MJ0kee4gfNkret2lz63OsFCVMFx6u6jheci1Pf7gEYHWP90gVE59mC07IstixczYe+/Q3G+/cgzALNe3ZhWJKJlSvBMLCMCEQiWNEIMhrlyltuLNWzXIOkae3KsmcTNDfTD0HTFpx9T73iNzre0LGQr+96lmgxBzKo1doocpArTJPoRJrWHf1M9PRAJEJy317Sq1aDJUkcGMBKNJG6yJ5T8dNnyM2d436uOlBL/em8sR+rycCKUXOsWKFkfeUsMttnIyPuC3FJAbUk3fMTrNq01HW/WlEYzXHg1GnXmFwoZU/a41vaNYvDp85C+yQXoMLSNC378wUJhg+lMaxikRUJibH5pDtO0r44yfCpLE2jiyEasZ+DYVQo5SVDw7KIpSzySQNiRtm2iuuPmrYlmXR3TpaY9buOsHA8weDPjpGOwsjyRENd9ecD55UcdCGhe1kz0W1jzFnYRcuV7rlu1ZSDMMSeEiyLtuNzGVt81vdYt+tUc9koSzrMi6tb4QDmuQyiySDSGswCt0wLTIuN3XOwchaFfIEdx0/Z1itQSBdIru0EcB2blwWo55M20uoMYnEaxdZYqvPGVFmdQQpPeBYhx0EMGh0jMjiEbGvBijdhpMawFvjXqXUiqDXpVVsZ3K2uLQtXM3LiBA/ufJbfuuoavjF0tOKYMGOwLAs5mmLHoaN2WMIHm3qW0r9tB5suK2ewP/7AoyUF2amsOKsAqc/U3y+5+dX0/7IPWYzbu92L133oMX6Zy1EYGcNosUv7mecG2T04YtcZLpiQM1m9eF4pvr6qZxl7j52oIOcQjfK+K+3CLc6az17Qw0Kf+/kPIBIhOnsW2z5yT1mMc/DQBC3XvdvOnT17jjcuWcv/pM9WVFwyJiZIHjtO+44dRGNpCgvimKuakVoaygsNeky8LotTJweFqRzRaHdboxBNmXTuy3D24tay+9Af2L79x8pcu17sWic8XaimRXd3nMHRYL79sAxYZz5lkGevC8/8qQkiHXGMhK1VXjLfXnyfPXnC9Vi13YlnT57AsizM4xPEF0+mAzz12N6y/aqV/JtuoQlgZHNIYefmnU+hGQRlwtOyYHQMIzVmk5Q62qE1eOWcWlizfnC2zjNzOY5t20bHgoVIafHgwZ3s2X+Y1N4DtK5cxuqlC9h78CirFy9ArUX7Dx9j5dLJ91EIu4i5zOXZO55Ftle5P9NEpNNsumyzq1B3Cs7I0Yc854n6roxsltaNaxjdd8iVD+Fk1DqbXvft3MeGud28cek6Hhw9gYhE+O2l6/ncT77D3qNKMB6HaAyikQo3vBv0lC7wT5XT2/l1dWUwczlO9vfzLzufp/Do90h3H6lYd9Lb5mC89nrWzZ9NrNg4wMrl2f/pLxB7/EnM9jYy8+eTbD5IYXETvMD7bjqJZA1z1cKvhru26XvnOHXxK8l3dwOVdHKwtVO36hilOrFbbi3rsK6gtD99Ao+dPo2Vz/NQdrCkfer09kYgSDUWL5epcfgowyMp2nvXldou6fDq6qDiQnpX+43LFmKePM3ubHUlIUiFFecCpN+fM3bll2+r3OJe5zOPn0S0NhNp905PcqIRblqFegk87U9vxcjlsKJRRq94cYNGNYmw7lrdRRhJmUTyEjNpIA2BFJQXyFCeXA+Xbun9y1sMHZogMb7ClynaPbeJlWsWIVxqofopfX77Pr3rIEZHvKz4g5eiWt6fUkLOYsWieRRGcsSXtVUc74VGKpCuSqllEUlbdLfEKLRHSq3AFFatXMS+3UdYEusgtrQV8+QEp7++j9GOCLk2g+YzJk0jBcT8OMaQyViHwdiSJpt1fh5Ra4qiExdUOsqFYInOjkewnh1lcGN5+yGnCzOIklCtfiRAd2cMmiIMnnKvb+tHWw8yCbwo90HGv2rlIgZ+foCeq8pp/s4FRi0sXguP2scaz2OlC0RnTyoTQV3JjegD6oZArtpiwfzUxZc07LpQKXAaam06YZoYx09iLV0cuOB8vRanGy/AmX4EkD92AhGNEp03p8Iq08fhq4zk84hsjpFD5fO67D5NEzE+gexor7g/53WdSqJSBJVQVv+LQgGkREajgWo1K4h0GpHNsf6i9RjJRKnARqMULrciJM7nr+d/OhV8gD/54AdI7t9HYtM5u/m01ksTYHnvHew+eZal+/Yz8v0fkensosnMk04kGF+xnLbFuwA7L77p6VEyL+vEWpzkhQa3NbShFif8alidiW+f5fhvvJZCS0vZ5NNf4KZd/1baX48lOi1O3brRLRuF3L4BdmdNRrUXJoylefcNN4dq+hvmxRzt20VnRyvmz39R9rmbRu8UQM7ODwDmmbPsHDgCnR24wa9mazXLU4dfAXwdzu/F65y5Q0eIzpuDUSV+5hxDI9GIXMvI+DiFZNK1jmqY84B7rC9MPmcZLIvouAUGmCFderpCJVIm585mPVNSZs1pomf9YoRL+oSf0ucFKSXP7D6E0R5HGJXWphtWrliINZ7novnz6R8fLH2eO5oiurCZgQPuIRAd1RRHrzZpbqEkN8VeMeuNs3msuZMs7J4F8zCHsmAIorOayOwZZujhQ4gJi8LiJswVSQpLmli1ZglWvsDhR/ch+sfJdEcZWxrHmuaOJ42yLt3Q8Fq1vwp5nfn1zXQ89W3Md32gTGPTCwGkt82h95Zywkz3smYGOUShfw/3rp1cRPyo52uwSkJT5UW6uQz12IsuRPzyFoGK8YeCaWL94EdQbGXkrHqkL4C6ALX/7i27rp0KkPeMz7gJBrecUDdh6nSzhrGU3J5fxfFmAYzycQcVzkHhZwU2qkCBFIYd9zSMmjvg6H+HFZgKFWlWhoHZZhAdM+0CAgFTm5yQMQNRsNv2VaBY99RNaNaK/HgO0RQpE5rg7pVatXIR0rRYn+gi1h2jb9jRPCFigCkDebT84v1BPFSeLFkNYsjEcpS7GzhxilUrF2GN5zHPZTh15BzzXrWExKZujKJQLKRNxn54jJFnT5PujJB6UYtddm+aMJXCMiguuMpB0+XKjYwX6DiQgddO0verVRkJqiyUKRamhTFiYs2yBXBYl2WQa/lB17Ld4jjmWA7yFtHuRGnfns7Kcw4MV7/3Z0+eIHdiguisptJLpsPLZet1v42aC0FctU5LzavXovq/GrwETaOJRxVKRi5H5OQpCosXBU4DCZoK5FTy/I5zqxbVu7aH3KEj7B4dp7d3Xdn+escSHRUVrLbvpv3ZXzL6oksBTbhbFtHxcQpNTUjAsCxa1/aUilOsW7YIaZrs2X+Qib0HSwUq5OiTJMcWk2k9ipASLEiMzkdIyLSdREhJocnAihnICCBEyY1byu9cvZztfbsQWZuZvfFFm9iutfpTCpNx5gxWSwujB46W35Oj8paCrih6PR99m1vlL71IiyISqfSs7K697PrKA2XEoNLalSsw8dwY45feUjr3i19xJQf/+0vE9h9g1mtfzfY936S7J3wLt6mGk+gZdF8nGu6q1eEcmHrwbi2xLiRL1TiZxXx+jPyffKDCvaliH4rp6Ry37q51g1pQHn/gUYx0BiOfx2xvq2hlpP6G8niJHoPxiqPo27wKruvn0o8DrYze009jGYLUiy4tkaEUqpXpAsoWkN61PeT27Gd3QZYW7Vp7ggZ1ZesLhxfxxy3m5oRe4N0v7hYoFueC6ajeo56nkckgDaOie0e1FJhGw7NXZ1uwEoSeCuSEydDxDFLlIC5MIEZMliyYDTEDYQjbQjSETTyKGBjFOs6bFy7AiBoYhsHIoWEQglhLDCNmsGr2EntbcbuCVbDIZ/Lki1Wljoyftj3FQmCZFkvb5hFtihFPxjAiRknJ1HkBz548gTmUgYhBtH3yewnKo6j2fNwyHqqtt8bpHFa3Hc90rtujjx5h/GcnaXnZAswzaazRHBnTJL+2mTMR/+pNjUSjrcsw/JUpIQcFrQE5HYKyppqOp3PEUgVGe2wXpdsXVA/pRmF55ywOnjgFyahnOo/TpeL8X38BnH+7wSuW42ZJnjt0jra5bcST4aoouVmgz548Qe7wGNG5SYiXLz5Q+1yox/L0KrrvhOrFGQZegqiaEJrqykR+Da2d8LMia3VV64QUPeZvjaW4LjmLD3/rQc/m3n4Kk9rHSGeIpsZIHLGtOikMxi6+2HMx97JkO+fPZvyJ/6Jz9aTVpBc5ARfhLyXJoaWMb7Bbi7VtWltR7F2hgm8wOoaRz2PN6q4Yi65IO3NN3f5XrHz1d0lp0pR5vcLQbT29pcL4vWt76OvbRfZb/4TZFq1Yj5bPmcPJT/djrkiS7b2Jwvz5jBw/TfumtWX3pArDTCd0Ae90kweBm1HnhYbkcdZTLNkLUyFUgy6yLUezAIwvngyM+2k3YTQV/Zj9Tx1Adkyy1IIKT+d19WuHcc/qcBOcp/adYk7PnAohVw1ertutOw8gcxYyb9dnxRC2xh+zq5QcPHrKjqyHjIk0wm3rJzwbITiDWm1TKTjbN66x2bWnzmAt8ifDuOUeKtQiNL0se3Wua1KSTx7YYyfx491IoFosuH3lMoyRYcwf/Qwof546UU0X3G5NCoxUisjJx7AShmvLLvDv2FNYfFPFdb2eJQATaYyxFMNnh8q8NF4eJeczcT4rv+dWLX3L+vLXKIgBWte1ThZlLyL25DDREzkKc2KM3X5niZ/h9JKVldubJkyFHPLClLpqG4XpduHGnh0lPdLN0G+8rPSZPiGVq/aKa1f7ji29bU7JXVmR9Lx7gMjhIxSWLik7r64VKrewn/WS2tTr6rJ164VZza2oH2Pddz+m2E++w53M40YS0okJKtajw7lwWZbFvbueob9/LyKfR37r26RX9NCy1y6KMLFyFViS5t51yGgEGYuCEWF074GyriJurZ+cz0Ov86kvHG4tmZwLfG7P/oraqn4IxVyeYjdthcC2LKLjacyWpKtLVP/OGumidWPSYoGRk0TykkJc+JZhC+yWMy3EiImcVe4lCbKo6kplZiTDosQcOuYFz931QjUOwLMnT2DlLMxzaeILKhW0IOEtr7rczucWOCRmWnZD6WLfTHV9K1/ASpkMfWkfI6/xbvsVhPnbSEyn0IQXiOB0Q6OFqf5Fd+6eINrbhrXAvyC225flNi7XyWpZGOdMrDmVblCvpGlledYzSfxo9z2dixgYPkZP5yIsy+LMwBnmraru0nODc7HwqjTkRNlzKhQwzuSxOovd4C2gIBGFyZqcAAiQBoycymAVK8l0LksyeCxtbzcIFDdztToti0g6Q6Hl/LL1GmGJlopznxu045xdnVWPCZvW47VNxxd2PUt+/wCipRmjOcnbXvRSjGi0QrHRC4YHjWtbX/4a2UWLy5p2t29cw9033FyRqzg0lCgVJdGvdfUt17PtQ39LPnkIsyXqWeDDGffX4bQ4nXBTXDM/eoLEK14CTKaZORVBPb9UKdl6IXYFpbB7ubl1RV63utW50p2H6J4bxxizsDqjELffH7WWRe8/xdiqTa5pSer/GYvTA9MtOKfL8mz64SCjzcvKumHoE0O9MH4WpyIJ6QnTusV16+xlfOXZJ9g1kS1rkKtPXieMLbdWbDO23FrVuqwGZ2yifeMarHvvw8jlsZqTvgSgzR+6k20fuac0lvHv/ENp++YP3VnB6tNLrqmFS0EtvKWYjWkSGxmh6cTxis4MaqwAWBat2/sYX7ceUWzrddkrr0YWCuzdd4jVi+dz3cJJAfCdkwcgGuX1y9djxGJE4nEi0SgPHN1r99SM2u5zwzCwMhnMk6eJLw9fFDzId+CWZhMGNVmFloUZPUDUCm5F1wPn/AnTk7MWy8Q4kytTSMNamwBmxmRWtpVZy2Z5HBEMQRjnCkMDQxxsdi+E4gavVmNuZUBrRc+ieeRPpIktacHQQihH//k5Mjc1vmmAE9NtSQaFn+C84IoLOtldThdGowSr1RElNjROtpjw7sxfS3d6H6smqsrpBEp5jXrljtz4OLesu4S7vvB5gDIB40Xi1oWm7tJ1MnLrSb5X55pYux4jnydx+KBn7ibAto/cU5aSUVh8k13fc/OZkhZv3Xc/7VtupXdtT4VV0fdk5Vit++6HTb0Iy0JGohXWVoWAKbpt2y6ZbDhQqp+ZzvGO6yeLUQBEly9ly+J1WGae+/Y9b/epzJtIy0Kapt2s2iwgpUSaJjKdIZfLVzSqFtGIfe3i38KIgBGxY7TRaCAFRn3nYYVmXW5UwwAJ6fYDJEerN38Oi2qt8KwoxMcluSar7u4ortD0/ZoXXgMOj5xiFvUJTuXFqQYzY5Iby3JJT/Va0M5tTsGo/x+0EYQXrJyFSETKhOa+/cdITEFP0wtVSIbFBWdx1ovAgjVdIPH9QTI3zfalVofN7SwjEQ3loSVScoG4ndtrvOo8XnmYQaqgOF9oJzlo5NQo0XiUlq7atFUvZm0QlO57woQCdpmvGtFQ4pCjLyaWxEDaC7W0ir8lQkqkEFjN3uXFgrB5g8LLXeaF9o1rbIJQW2upuAWEb9/m13fSD7f19HLuwAGSnZ1lnVH0Nm9ubkQFN3KMfu+dTz7J2OKzrs/XL+7et3tg0lXZfoDZrXHGj9vvhfLsuNVqhnI3v9M7EqTEoXHmHOLcOdbd8CqMeLTsvp3PQ4cak5s3ymssn3rPnWXt9PQSg7rSY2QtIlmLfKutLCoh3LNkPoc+uY1UzybXa+npeo3ChSZUX1Cu2mpolMU5eGiCrh3jmK1LMIsNXd20aN1V67dAu7lq+7/3E6zFC+ldv6qieS5UtjJSC4Sa9ODfdcGPjecG5zbj1CmGj58hcvq7vgu8/mKqly+5+Uyp/ZB13/0YRWuzWssmpzDx6kpSLS1BxYQUIUhndN7YdTkPD20t+6zRVYCsiQnMs4PsTueq7hvU0qynUo8bjGyOdOcxmtKNtTiDNl6PjZrkm40KBnUjFlvjdA5rbrwmF62O5tNR5q+pLcbvhFNJdSqWubEswweH6VrZRazZO/1LVz4D8yk89vFj5VsTJubZNNHFLRWsenMwy4mv7yH7yvLUmbC40IRhGPxKCc5a4DXJxGCe+DOjZF/t7aqp54vPHR4jvrStYgxBWW9uVmdQKOvSz+I8te80c5bPLnPRhIGXeyqo1Qmw75cHoSkCifrcefVanaEtQ9PEME0sj9q2U2FtBoVOELJiMWhvc93Pq+yj2hYGTiv11tnLGDt1iu9GMqXtehjDTalxVsfxUjj+f/bOPEyOqmz7v67u6dn3fUkmmUkmCSEJgYTFCLIIyCLIJghugIKi4usG+KmvKwqoKOrLJrgLKkYFQQUElJ0QEpJJSDKZmWQy+773Wl39/dFzek5XV1V3z/Qkk9D3dfU1PVWnTp2qrjrPcp7nfnJ2NKLaWnAEzddvjZQwPbm7u6CN3I6ScBpSrPQi8Zu6C9rIPvvzhrzLZhjb2URebRX2nn4CFaURpd+s6ngKBVo+l1CwxF8j1iA5ngJCSyMTR6+iNPBvJnZNQCBIXnUGk11VuIvaw30Lpcbx1gT4gozb6qIUJaMC2bPFfBSw83KN08iPL7bHg0QmZzNBFSxKAw1so36C+bMvviqHj9fVVtLROUDdlOCMlbBrRHAg+nvkpc0sqa+elQA1QlALzlhoJg1aMClPoRV/55xAM1Y447XG5gry5FlQVggOc9J6s9JzYp+Zm9ZM2Mp4+I0Xec+iU7lqcVYo0nVZqN0tkpdAhrxWHl5Pl4SDHukTFQQyo9dPxbEyK5UQOo1MC6BQO4DJqL7NrH2hCGWO1Bqyf5lB7F+xsIotb2wnq7hQXqI1pNqTFQt9/yI97aWpsY7pjm1kKp5iWR0rF1Sgebzsefep5D32TybTxvDnKeT0VzLg6gNJaMJU/EZ1BradE/Qdm0PQoeenDhWcdx/ax/yQ47C1OGfrshWTbMaAn8wBP56KFYDxxBfvpCxo+MSkco49jx+88CxacVGUG1Ofn2mVvKxP5Bb8k0ZrIWASlYouqlPTcA4O4eydVkBkLdbKVWhkTYlAJr1mHAv2SRej69eHJ0C5qLDebWlmRejLKMkpCf8Yft1SQED8AiSi/dgYihpAKyo0vbbZ5G/G8zvEgs3nw5vVTiDdQDmyQebIAsPjvHntpI/UICJw5PKZ7twObEFCvK5i6giCLQj+TAXsmFZBSeZ6mDLoY9GxtXEpflYKZ/aAY0YEIIlAeGbyxzPo8g4S9GvkVBp7AYzctEaK/5L6UDoZPo3W5k4IwKKqMjRVC5HoA9gVDnT3g8PG4iWV7OvsZWF+EfY8J2qfm/RFxvmrE893ATZ6qrWErnO2bvPZIhFjKh4cclftXN4sM1jdxIiHMBgk4/EBPGcVhVyGBpiVu7ZzEkdhOkqWsVllRh+l/19Y6PHeSytLE8Dn8TPaM0bpoplHFFpFEsb7EPsOjHPAPxa7YQI4GJan4glNKpqFizkZrtpZ5Xb6/RRlpKEVmgt3gIb66DQcm6KwZ1872Gwsq1sIii1ULk5RWLF0Ebv2tUsEFSGxau/pQcvKZHLPPn7yne+EFRiRRwnmdHwwrcAYuSVhWqmaOHoVeZs2oWWkW0bs6oNmjAKE7JMuApkZCUX+6gO15NgEQWsnQ1yPs7+fjBOPQxkeRqusjBqT/D/ABxat5PdNW9k5lbbl2rkXm89LzqIFTO47ANjIWlbPxP4ONIednJUNfOe8i/hj114a97Ry84mXRyiOYzubSGt+jMyxarLbO/FluxlZmhkuPJ05UosnZx+VO1x0rcoCuxI2GqyYlGarEM1HNy3MA8E5F0hGkJCYYLM7vCh+DbVweVQbkeCrf3iM0jfES333F78UnhxuuO17rFu9jM3b95C35qjwMauW1bHtW98PR/LpIVc1gGlXluhbhp4ZyMiKhVDC9Q0/+D4bLn4Pr/z+b+TsbDRco4vH0pHbyIFBwtUmw6ovwVwUb3ASEJ4QYHoiPrdwfThfVJ87Gk8tUysL1Gif2fqhEUVaokgmm4/icuMu6rEU8EmDqlGS6UDLtjM04p+z8k9L6qvx97qw5ztRMqz9/LEUzbGOUY6qX5IwV3MiaB3pZFFeJf2t/YwX+RjdP0phXSGaqqH6VDS/NvUJsONAFzabjY7OAbBBTW05isMGDgVtzEcwEKSzd4Ca6lIcZZkxr18Pza0SmPCjjfsZ/kMLjqJ0cs+oxlGZhT0njfF/dzDomURdkVjVk0R5sw8WZmOFWgnOQ7zANXMkU0uZrEwja0BFmSoL5C5oC3+G2lxhAWtUm1KPnB2N3PCDEFnA71sb2fD+82lye3GOjgKEyQEa97SG+9BrqHKe5rmF68OL/Bsufk+E5i76EbAqEg2ExwWQV7eAiaNWRgk5sxJa8vUKZWLi6FUR28d2NoWPFwQSVgET7rx9098N7ufE0avCGr0gVrjtnAvDQrNxT2vYavnH8Ov8vrWRW/75aISFY3RfjNC4p9U0H1Psi9ivBQ2tFHG9iRQql5FsCrzJih7sXg2bLzG324zgUNCyQulXcyk0gVD1kyRckmJX0ALGHdWXVc3+BFPwuXw40h1hl/Bw6zDjXeN4R71UZ5SiOBSc+ekQBOfCXLQyJ1qpE8Vh40BLD9q4DyUnjfS6POpOqsNRkY3a5w65ZhNBukLQGyC9Lg9HSQZjy5x49oww+MBu/N0uPE2jqA2JlTU0movXVlQecqEpj8PoY9TW6LsRYlqc5csrglf+/EMzG/U8gpHmIVutSq8X59ZxPGcXG+Z1yu7SmUAd8oAGjhLzYA2jcYlzw/SPaZZwLdPpxcJQxzBZBZlk5FiPR0weLX1dUfvirdFpBs0XQB304qycflHnkjkqmS5cx5ifoGIj6FRCqZ2yDJ36njm2+JBG14ahqjiHhvGVFJO3KtqrMlvIVrazv5/jPn4ViqKE15v1ioxRLqcMfeqW7BIVLlbF40VTFNxlXRFr4iJa9sQbf8arP/l02AtkRGE3cfQq8ja/jruom3TX4qh8TaM1diPaOQE5ZkH2vGy4+D289qtHCCo2sk84Foj0Yshek2/ediMZp27gGyefwcOb/sveA91opcWgaYw37qawIAe1shLt0cfxZrbyuY/+kPtadnPrFR/i4f07o/oE8O07wK7f/jG8L1zQwLeX7N4sJhdUY3M1kb/Pw2hdBq7K9KhC2InU0Y0X89VFK3BEumoFkjnRpm0eY9Kl4jylKOJBkWty6h8g2X0bqDk/nKgsglaGhzPCOYW//PffUYoKcRTkc27her73ufdHvJxm9T0Bw1B+q0RpPam8CPcXL7qvsgpfYSEoSsyiy2K/HI4vrlsOCtLnIRq1j7BodSkdRonr8nWs+d8vAdGpD1fVrWJTUwZ7HSFL9NzC9dz+6h8N+VDlvmcDpb0TnI4Qdd8UmfnE3lZsU8QJNi1IBL1NaOvUthDXbhBAUcjcuxdXwzKymvWWsS2kxEl6XGSvNlMCbndBZLSk3aMRVGwhi3COUFSbFaLCK3YknS1IP8mqI15QbBG1LWXEa+2U+vOwKTZyiqddk1bKothvts8IngkPoz1jlC8pi1I29Urwa5v34ijOYP+b7Wj5DpYcNR3ApY75CLpVgmqo6tCqmgoaO7ux2RXQghy/pt5QUe39/jaKrm4grSREhCGKzdscCoP3vUXuWQtIW5jN6N/2M7g2Pe5am2aW5pGCH5/yg5kLziPF4gRz6ycsfAMamX/rx31xmanVKSAekHgsUNFWUzVG94/Q6nSjOJWELVjZ4oRpiy8eC1OPnqbecOK31UQgu6uSbXWqYz4IaDgKI63eueYrTobl6RhXUTOjk/vNEKFAaDr3mv5/mEp3iY5qnY5kDeJqWAZBnYDWv87i/Q4GsXu8+PNyyJmyepIB/ZquY2yc4y48k48cd3JYyRNWp2x9mpF3WEUTy6Trikcjc6waTUecIZNzmMUkyO3TWh4jc6QaLd1puN8sl1NuJyxhmQDlpb/8C1SVnO3bcPj8qFmhSjVGyrFsffpa97PtqRfwFRWGlDIkisxX3ggFAa0/hpXV5fg7uvjgqe/h4d1bUA90cMHR6whm1xPUNMqrQwrSb7a8RPfVn2KypgpPaUnoGmoXofQ9h5auoLgDlB/w4bIHGV2SFRUMNFck7vPd2oQjdI1zJjDThsLrJm4NLcceU+My68fIRy5vUxwKOVU5qH0uNE0zjJKNpbHJQrKuoHpGQlOPlr6uGa/nxHN+03UFVTMUPIf6pRI8xPJHD1uQhN4e4QZ0F7RNR6OKj8MR8XGXdIZqVjqd4HQSdDrRxCd96pORTsaB/WS0t6Hm509/CnSfwoLQp6gQb0UZSiCAo3U/eLyW4121rC78sYI++T5r7Uq04ZHwfn1qEMBSdT03n3g5q5bVRRQEgGmPhHL5JVFCJmdH4/RvoYA7pwN3QVsUM5Uck2DmKhfr5unjC/Dmtkes5VutMxuV0lu1rC68bWxnE417Wikoyif/jTfw1C9lZN26sAWu/XFjFG+xvH6+Z3SSjJNPCAtNgbFtb6F4PGQ1h8rx7ezsJX35UpxZWTgK8tmbnsk/J3rp2baZLS+8QWfzOLf881Ga/vMivrxcFE9f+PqU/udQptZ1tUw73jOLSB8JUFSdEVG4QjyzBzU/+jDBYe+qFUiGlWLf58K7z81YfaZhGHYiSfZyZZGl6noAfvXYtwE44ZT1nFtUww/3Tq9JWFXQEJOSKEMk2uvbGlG2Ga6LqSpp4+P4CwvjCkbJXNNPf+D0KJet6F9YAfpIY/ECyvdS/t8xqaI6QwWuISSw3NtKTbV6cd1iHUmu+wmwqSmDpVIxBzFRA1GsNPHAqCyUgHKgA21hTdT2ROj1ZgP5HiVKuuCYVNHSFDQTDmUwXr8ye/aj2g77QkxQmcnhVzFSpDSXiuZSWX90fHSCsoInxwH4XD4mhiYpqimMUh4TccfKGO8fx+9VWX/syrj7EJ4b4Z2R08/e6OhE7ZoMR9Eaeapkr1bPm92UHlVKWpaTpkd305+hMvliD2d+6wxsNhuaqvH6tlZOOG5J+Pjn7nmZrHWlHPCNxhzrke6iFUi5ag1g5D5s2d6G86VRvGdF5zbGS39n9OAbtfH3urBlOnDkOWOyKOn7ma2V6Rpz4530UlhZELHdzGU7kwklHhfua1tbcBRnoFhM4HPlttWvYcdqq1ea0kZV0wLg8UBPW6ZfC04UsQKHwkqDqmLv6CKwsCbmOqQRH3I81WBW1i/E37yP89ZcGHYZChilChkpKMLdKXI35bSw0HVoOLwaarYj6veLlXcYsd6+fRv+tH2oU0UGjJQ9PYyCjWBaaUobHia9/UDE/RUE7XoSD3GMTGoiK182n4+08XEy1q1hbF9H+DhxjyCkOIr80fNLz6Q+cx/PZmo07mklbVsj9n//h2B6BqNVIwSyQ79HbkcJalYm3pw2Mkeqyba3MzmpMvaOS6OI4OV7kgwcao9SvDiig4PMMNMJN+OxfrpWZ4HNFlVrU36g9C+Ufrs8CV76//5E+zh4CqfTKNA0PM+/QsaJ6xhrmX5I5RdSzzIkV1EwszgF9MTscltlYoKcZfVoT/7bcOz6bcKqFBahUbCREZ+lvi89SrIcDEz4whOMeDEbLrzDlKC9cU8rF9dfzvENocl3U1NG+LsRxHqasNatqONkGCXmy7AfaCew0Jh5B6x5VuOFWb7wrKBqONwaaq7D1IOSlAlS1VCG/Gj5aWDEXBQDsSZXbdKP5g7EZXFaKZqaqpE+ZmPh8sg2MwkMmhicYHLYRUANUNFQnjAb0cbdmyMU5Dc6OvG3jWMvSg/HAVgp2Zqq8fqWZtYfuyTMqBTUgjz99WfIXFPEgsICFp0ReqYneicIeAPY0+3Y0xT2/buVoRyN7nzrogX63+VItDQFrCzOeVePM1mIKO+VALRCBzmdpQSmiJ8TtQD0bsYNF78HVFiQC8dLpM0oCr78fNb71/CSti8qulX748Zwzc6I9RPpXPqIU8Fdia6NzGeZt7IB10uvM76vneypbUZKQHSIP/QHToejYUMMqyOee1ZUmwV9PgILLwgLdfe2kGKy7Vvf59UpIRGoOR+Al6TyS8fXTQeaLC0lInJZBKQIXFW3it9PfTcjOTASoFZC82BBb5UmBQ6F/EonwSkLa67yLXEoaEVpKMMqC5dUsn+4P8ICs2LLisci0VyqKRtXIlD9Kt5BL/t3tkMwSGZuJsXVhWEBaeRtkYWnHIE7PjDBivpFjA5OEExQaAoPzSMvbeayDeuoK6jG1T+JbUUhu32jMYMRt/Z0E5jwoWSFOLc1TUNRFGyKjUXH1dAzPk5/Zx+1py/GZrORUz4dRaz6VDoaeyi+fgW0mQcrHi6W4sHA29ZVK6B/EF1bBujbP4C6JpIRxiiidjbnEVDHfWgTajiXUdYo5ZdFnlT00bXxQJ4A2pu6qFxUhsNpPPGYTQ7yPvE9FqxctsOtw+zPMrcWZ4K5jsgVEGWtBITlFu86eCL8x4nAymUbdte63ChDQ2gV5VFBKEaIxyoX/+uDfQAG9+3j8f42HCWhJRCZ5Qmm3bdCqdTXnDTKnywf+RcDIz6K6qcFgHw/je6bYZ6mqlJQUsDIyAQAac2Pkb32CrSqCrSNj4aPE6lmRgQheSsbwOXGtaURtbAgvE/fzigHNEzY/pd/hfijh4fx5eeDw0HBq6+Go3Flaj/h1n31J58m++zPh/tbUVZE06Y3qa+pRCkuYPfoJJNP3oniDVCyw4Uv147DreGqaiCYlha+tpx2L7aAhlqw3DCiORE37ZEkXN+WrtpYMJ1gJ1XSXxxlpCKUKC67aoEo/78ZxDFyeZ+L6y8H4PgGDzd99MPh8kRKbz9BZxrBwoLwpGH0ggnoC/uahe7ryw+Jv87+fnylpVHb5fOJaxf1NsV90OdtGuVqytAHVYkXsN9/Kvmvv85EdT+BmvMjktvF+GXCd5HDqc9lFdalcMOK/+W1NNHOqMapVdSolbWpd9XGExQ0k4CgZFmcUb+BS0WZ0NByFEiC5WYJVWNhThHO6uzYbeOE5lFZYsslv7YgZlsrBVP1q6QNwaKVNWHX6uSYi/72QUoXFJOdNy0wZEVS9akRiqdr3M340ATltaUJBRXJQUGiPiaKjYaCYtLz09kTGIuIl7BKX1tbUckbXaH+fL/dh6vfRXZ5NjmVOfTv6GftJ47DN+6j6S+7aLhoOUXLS/COetnys01kfnQJ9qlgLqsqTvK5jnSkgoPigPxADtyzk+LrjwrRepkg0QfHkkFH01C7XDiKMzhu8QLLYwQp/NqKyhlbnPt3trNopfn6nEA8aSpWk4SVtal6VFwDk+TV5Ce9qsGcW52ahjKoopVGWpx6thV530wxJxZnuPEkiteDVmxO9G+0JqwP4pH/v/nEy8O5mrLLvGv7dp7JCPC+gmr+NtbNh5asAUIKj77MmCCssHc8Hrb05OsTUdy5HSVo136Y9N33Ro3biqjE5tMorMpgrM1FsOidZK1ajlZcFKG4KReej/cfd5E5XIEmSC5sNlwNy8jZ9RYAmsPB2LrQvJqz5Q0UTYsg85AVS3mb2W/kGB0lo6UllIqkTZdM07cXZPKi/w/d8BoQUsh/39rItm99n4mjV1Hwyis4R9rIGFbx5TgYasggkONA8QUoesuNP8eOL0ch3w++dxbi3lYacZ54LM0jycLU422XxynyG+VPLMiC0FGehb99IqljshK0x1VV4yjLoi6QHcE9qT9GFghbe7ppHemM+MQDn9eHI83cRSt/9C5Z/d/ZQPMHUNJCEX7J1l7N+DOTBo2oN0dMMMkUmhC/xSl4fa2gzx+MZkuIhp6nV2+F6/8XnMFAhDDMLCxk9zMvsnHXFk4YzOG3zdv4fWsjq5bVRRUtEAI+c6Q2LCT1FVLE8IWwkzmljZQXd0FbODLX7tXw7igk/fTr+fHtt7PyHevC5wjHE7S04V32Psar+kCxMXbMMWhpjtDn6g8ycvzxeGoX4RgeJu/113F4/RFkDPrcUv22KKgqis8XEpoQsR4sck5FnVHBOS2Ecvt4ZFciF3V8wSDB88twX1yGN99O0d6QB0Zz2pmschK0BSlwBfEvz454TkUO59tZaCaFq3bFt9+dzDHNKxhZJ/ZmF7aJAOoxueEHSh/dGGuNSrY+vMs/EV772fhGBqdPKfE//tVp4ZD3zDX94NEY3zuBQ6uP0KxFgIwe+ohW0Y/RmMMuXVXFs7gONT8/wuVrhPD6DUSEzevriooxmAWzGPFdZvdN5Z05nVGh77L7WY4mBuPyS7JlIywYuSKKUZ3SWcHnQxkcDJeG0p8nFhKNrJ0J4lqTcqvgB/Lm1lWrn2D9vS7suc6Eg3vkycwz4kF1+03rWsqQFWfVr5I+DN5CcKQ5LNfrjSJo9R6YzuYu7GkOSiqLcDgdEe3NInBl96zwIKkDHmwZCvacSApB/QRulbYWCy/d+jzv+PLJ2BQbu/60k7zafPb/u5Wsa5fGdbzVuRLxfsWr5B9qHJGu2tnmMpr9eFt7ugmM+xj58z6Kr15mevxsrCQz1+Taikpc/ZNoaqjQbbwuTKNgITkqUF6bGe4dwWazUVCWH9GH/oXXb5OhnxCsaPnM7rOrfxIl3U5GXiTdXjLdtka1TpMCnwaTAShMi6t5ooFDesTrro2HBD5CeZiYQPF6LV218cKItEO4YEXQUJh0vLmVj5x+Hg8f2BVur1eIhLtWjFcfMKS4XGhOZ4hpaUq5iMfaTxtTcfhqw8fplUuhGMrXZBTXIBS83C1vYAvC2HHHGQbVGCFQc35YKc4++/OMNe7GOTgY4o52OML7imqz6A+cTqn92bASLtLBJp+8k8yRWk74zJ8AOL2O8Jr+bx/7WASvtrgvtsf7GanLIJBtp3TrBLZFmbjG/ATyl1nGcJgpYUe6xTlrwfl2szgBHH/upe/YbAK1F0S4h2RL0CoPTv/QQig/8aW//Iu7v/glNjVl8MQTIYvzxBt/xrZvfZ9VFzvZ9OxejllRxfY3O9DSlYj+wkV8pwJp9FaekWUXRcru8eAq6iYokQ7IfYhAHdlKk9ex9BOYgDyGWIIiUHM+ea+/zmRpN5kTi8PHywFVcoWJW6/9WjjdxCjAR/5fQLZC5XJqAnqqOAGjbVFwuVEmJ9BKI9eEEq3BGY/lORuLMybJwxxYnEJRMZtUNV8Atd8zo0AhoSD6xr14RjzkLcg3bGdUJUjTNIq0LDwuL568yDlPrygapaLISqi8fWJkkslRl2FQkJEC2jrSGaUc+rpdKFkOHPnRhPXxBAbFq8Q3PbqbnMpcKtdX8fKtL2BTbKy78QR2TgzGPDYZlqYV5qMVOus8ztmU0zpc4c+xk9tdijreCEQKHxGwMIRxxKj4HrFusK2UlwIhLfqWfz4ajrAtqs2i6dGb+PAN63jkpc0ArF9VB36NNyaOoTT9+enAE9rI2QHaFJG1uy1aYOknyMw1/WSSBbX9uLeVkrlkkPT8rDBHrKC4E9clCw0hXF6ycOcCUYJbvnbZ9RpmT6kBd10dmZ1O3EWRRAsgFe3+1W+mzuDhqsJpQoRYOZbnFq7n963TeZ1697JcM9NI2JlRHop9ebXVUaw78UbVzrg02AwhK1OGwjO+QhhxIR7rXpvwo+TGZ6kLyJO2pmlM9k6Sv6jAsK2YyOsKqlH9KopdQVEURnvHyCtMp3xRKY6pFBwrN6zeJSv+12/PKchmqGcE17g7ZiCdkdDUPCqAodCUkYz5N3dBHmP7R8lbmE/AH8Cfb5+x0EyWwDTrbzaCVK84ycUwkiWgk+KqnclNjPcCkv0DGcFoLC/9q5HAoJfcM6zPn8ycThmrCkp5Y3srjprsCAYSq/OZ3auZRNTOFLECh8S9Hm4dprCu0LRdsl22AmaTe0IuXZcKASDXWO9MBil2Mt2zRshb2cDE5u3YVD+B3Nyotex4+xDQU8cJCIVFbPe17mfPuBsy0sPuW5HXKRdplyupRLBIvbEdNj4aFb0qQ2zLruwMeW1yFSZ2TODLd0R4b8C4coqRgiMUv8kn7wzHLYSjeX0atnGVYPG08BMW96Zn94a3GXmEHC6VtImFuMu6DF3NW+/5Hmfc9m2G2lwcf/pSLlm+ji8+Nk6p/VkAzjvvOfY6Xg/T7sluXT1s4yrO10ZR6zLJeHEU92kF9FadF3GNelhVRzlSXbVijk3KGueRanGaTpbeABlPDtG1OovM0UVRu83WVYwgpypkn/151pddzul18JUHv02p/Vm8yz/Br0+y0dLXxe1PPMrN513IWatW8+PH/8rj/91C/fGRtGLymEXfViXP5LW+d1fW86dXGyPGLb/kRnUzzXJFM9dMWbF6HlED6F3GjolJRk48MYJOUEDOx5QnVvF/455Wbj7xcm5/9Y8RxwjIa2oy3Z4REnWvAiiTkwBo2Ym7G2PdUwE54Cted638mxq5y6Oe1RgKAEQz+shu2Jkw/2huFXXQg6MiK0wLZwQzrufRA6Nkl2XjyAiNWa8susbcZGSl4xp14ff40VQNz4SX1SuXMsjkjKsAxUJHUzfZ+ZkUlheYKo/C4pSvyTXowmaD3Qbk6ol4+mIp1K0jnQSDQV6+9QVO+NI76N3STdUJNdgUW8zcUKP+Dhb01mKyz21lwM1KcC5cuSB4yb1XhP8/mDftYEN/E3f/+S0GMlSy10WuZcXy98eyphNRQvz9bmwOWwRXpRX0v4+8LuP1+DjwVjuVdRUsW1BJ++iIKZ9mIqXGEmUTglA9UFeZGlfbWC92vPfTzNK02m+IcRXsWBIHGK0vztQSTSSXMxELVHG5sAUCBHJjR6ZaIcqVrSMh1xNNqCOjNL3+JoGCAsjJZtWKUJUOeV1aQBBbCMu14NVXQ6khTmeIoN3ZRppnQSioxu0mqCjhklmhVBIFNI2ixTlRubbyMgXoGIWItsBWXeykuaWTyzasCwtAQZGnaRrjHeM0uYbZ39nLZWecEHGsHEEL0LyrndGWSQqLnSxauzBc9USgrqCas1atBuDeF/4ZPs/dz+dxUsMemls6+ebn/hlWLP8x/DpNj94U87dy/KWXvmOywa6E74FeiYvXKDgSLU75N5j1GueRLCxl6H3gdecsYeCHr7D6PSuxO+yWx8TrP0/UcrcXp6N2udAyVI5bvMAyHF2vlenXZfxePw5nGiXpGfR09NPR1Y+mhRQnR5qDtAwHzvQ0HE4H1TnFYb7LWEhUaKp+FcWhxH3PrAIkEr2fstXU3NKZED9qGEHAghzjUNYvnO06arypMmbnkIWmGTPTrt5BKCtDGR9jaWEumqbxoSVrTAO/xN+cHY3Y33EiaV29BO12VGcbab5alICK4p1EzcwEh4PJvH0hIagoYUHp3lZK0VSqVlh4Tq3/y/U7QzD2BjT+xQeUcl/b81x/5SlA6LkR71uz1s5po6X8ZnMbNemldHin3Zybnt0bFkTellEWZhdwoFZj0YoFKA4lysK+blUD+4GnGreztaebyzas476HnscONNunPUyNe1q56pxVLO1fz0uB08PFGMxgW5xJ1Q4XXhtQHFkEfFphmLsC1kcKEl7jPNJctrGsjLQtY/iG8hk47TQgemIS2l8sCO32xBt/Fp5QrqpbFRU6fv2Vp/DIS5vD6xuL8HDmw7+jzpNJa4Y74iUzupb+wOnccEqI0l0vSHe27mVhbgV3b3o2fEx4vUfTQNOwTX3QgtiCoQ+AO7+HvJpMsNtC6pZdAQcsWbogynWszycFXSmnN7ei+P1MVvaFafxiBeTI22U3rIA8Qb/0l39F1Ow0CiIyqypjBvk3d4yOEsjMJOi0DuiQMZe5m7EYi0wn0jhctTKMiNllWEXTmkEd96GN+nCUZERZXXpoqsZQ8xD5C/NYVrU4ap+V61dGPJ4UI55mw77KS2jpHQBC5CKbNu0guzALr8vP8etC9TgLApns7+1BsSu0dB4gvSCDrJKsCEGZjHk1Xm9UMBhk13O72dfSzorLVsbd/9vFgBK4cfXnZueq/dIfvjAnAzvYMHoJrBKUAfwuP6/94GVO+vI7sadFW51GD1MyXbUCmktFHfbiqMzkuCrjBzjWOsBw9wjLa2vJKciOeOHNIN+bBfkl7O3sQPWpVOUWo/pU/F4VbcotZk+zh6zVNDud40PY0xQc6Q5DliLXiAuf209BZSidIJFIN/neJeqmNUuVSDjPc9gP2XawqCNqBr01apQ2EstinWngkF7ps3LVGgl6PX2cWdqOXMZO77aFacUGQu7ZWzb+AfvAAIGFCyzLsblrF5G9Zw9aRno4LUyQg8STQ2mmYMC0UiAXXAdrsni537oFlZycUUtRTSHOLCfj/eNMDrsIBoNkF2bxnWfdZO3exQdvrEdRlLDr1r2tlFUXRypglyxfx3WrGri/sYmb736Y6688hbqCam6+++GwUrqkvpoPXfBAmGJPDlyKB/2+d1H5j3/Rfe57whSC4trk+qdWOJJctUZKR9IJEI4kqzOeSdPx5jj+/lyGG1yGEXhi7cMKS+qrp1w9IcJykacojhUWqXhJvvjYOH/92DLOKM/h7EceYm1FJa/v2gdqkP1jQyypr+aVpmXh8wsh0tzSyc3nXWgoQO/4zSMsPmYhitMeYeWCef1MfXDK9VeeElGtJdyHplFUlQUBjZE2N0owSMZIZdhiDdogaFNwLVsOPi/ZSxcz2jdEzu5d4eoPAvoJWeSOivs2trOJu7/4JdN6nfJxghxeEO1b1TE1myz1AihteBh/bq5pZZFEydxnYmGCsRDWwzQNBVhUVsr+lu64LU49rNaHE51U67yZZFfm0DjUbziJiTSUoKpxzKqjEuo7kbX6RI/VNI2tjXvwjHsoqMonI2ea0EP1h9bwD0z2xjz3bObUeCLtNU1D9aqhj0/F7/Xz3z+8RPnaCirXxf6t9OQqVkgGJed8gJXFOSOu2rcDM74MdWU2zpFeCGiGVUTimTREm4mjV4Unf9HXkvrqKA1Pnnw3PbuXrT3drF+xGE0Nsqi0lLUVlWEiBgg92JcsX8f9V38y/L+w5MSDfsbRK1hbE/qud+MJfkqZo1LkVhbVZoU/j7y0mU3P7o3gBgXIHFuMe3c5Q/0+ClbkomY7CGRnMXLiiag52QQyM5ks66Ew6zWy9zZjC2g4Jl14q2twTExS8OqrOPv7cQ4O4nrxNfj175l4bQsTm7eDqjKxfAWNu5rD59Pzm+rdsfL9FXmhQliauWkzR2rjsuaymprIeWtnmDtU/4kH8v1OFIkUn7ayQPbvn50CbOS2nWkd3KaxITSfZji3+Ma9jLaOYHfaTUkPzJBIFK0cEyA+sbCzuRW/V6WioTxCaNaXVbGseiGONEeE0DHzBs10TtXnuKoeFc+YB9eAi/zxDHqb++hp6qW/tZ/R3nF8bj+KQyG3OJf1Z69lcLe118lqzGaI994dzjiiXbWJ/nhWdHEt/2jCZleoOzsUAZhMbsZEtM01ZeWM7h8lpzKHtMy0uMYi7sNLL26loqE8avtcQ39fBw8MkluaizNz2kUl7pGmaqGPP0DAHyAYCBJQNYKqRjCgoU1x4DcN9LO8vIw9I4PY7EooytWuoNhtoXVYJbQGaxTcFM+kbpXXqfT7IiqjzARG7lmjdJJEkUgErs3nwxYELT3yWqxSkczKx8n1IgFD9imIZHoSCmTeygaWZaSxZ2QcMjKi3LWO0TEyWpqZOPbYKA5jubyd2T3Qj9mIPk9WGIfaXBEuYMHoFQVVI7enjGVX5HHZ6hPCz/CZDesB43XSlr4uNu7ezCtNyzipYY8hF21zSyfP3PI1nmrczsbdm7lk+To27t5M8952Llp/LNs6u1hRUMJfft0+FYug4c3pIX2iAk9+D6s3LGZ/Vy91S6tpbe+OKiAeTjvTNHI6uug595yYQUVGOBJctVYKy5xx1R4JLtu4NWO/RsY/Bug6OovAogsAnbUyte4g9yv/Lx5W0U64Sm+/4QMRpM+iXJh4YUQ6iSx83zjQgdrjYv2xS9j42haW1FeH24q1y9GBMTwuL0fVVbOpaz9NvW3kj2fyjnccw6Xf+GGYL9Moz0+M+5WmZeStbCB9971hV7PRxGk00erdnvL/fqUF77L3gt0eMcEa1Qc1Wytr3NMKqgpqIPRXC6CoAQhooKlM7mkle9ECbFMVQCZbDwA2goqN7GV1aP/6N2ADxYYGuI5aiaYoIdcxMLF6jan16JiYRM1JPIdzpkE/+m0QR+BPPEgwOMgMs5lAwzR6Lh+eITc5VbmMd4yjqRp2p0JGQSaqR4VgkKzS7LgV1rlQCmUF8K22Ftz9LlYuW0pXYDAsLPXtBMwi78U7r6kaW7u6QA2GKiSpGkG/RlAN0lAY4hJWFLA5FJQ0O/Y0BXuaHcVpR0lTohTEeO/To9/6O0s/chQZ+RlR+4xS22aCw9V1+7YLDprtS2NmebY+2Qw2G3Vn1ZvmSxohmTyM4kXzjXtxD7kNC/m+0dHJyc5ajlm9jLHBcVR/gGBAo2xBSdidZEXgnmzoyeZ7mnojLF8zxHvf4inyCyFXFiqgabS2dIEWDJUICxL+btOC2DTAq4VSThxTaSc2QAk1tU0E0AocYLOFt2MTH2X6u5jLFKIo+iC+QCG53UxI4q0sUDOL0wxyfmOsdBQZgjnIyJ0ub1c6u7H5/bibWvFUV4HPR962N3HX1ePPzzdcUzazNq0q7siQFUFhdQoi9fTd9xoqKHUVZezf3oFW4qA/+O6wVXrTKSGFur68hLfautjVso/KnCK6J4YIqBpaQCOgavzqP89SU1VCQ8l0fnhNXhnd7gHeuXQNaWkOXurcgd2hYHc62DbQG2UZ1RVUc/sTofSd/sDpEffh+NONq53IwU8Q+j1Ln34aT8EYrsr0t5XFGY9rfNZ5nIcT5mLiF0JyYGE/3t0TUXmSsUoJxUuMEA/ED+7MTcfv8jPRO0FOeU5km6pKOlv7cPWo1BVUU51VhHvSE7UGoxdo4lqSfQ+tlAorxJsjG+/6kKIo4ARQWLJyYXi77HUITn0YUyENyJx6RTQtJGSBYI59KtpJmz4gIA4OTP0NCWAbTAtnHUqm+h7tCbEijW8fI80WappflQGDPoIKOCZCQSZjb42FXlibGOt0LmlE92KzzYY3Yx+ZY9MTnDuvc/p/vx8U4/xkI8heBRn6YCt9ClDOjkYaTdKLRNAWgFZdCaqKbcfucJ9j648nZ0cj6d1dpp4NmZXKXdA25U2ZLhowURP3JYY8K9t8TD55JytPX0rjNh9oGu6+AA6XCzW9lx2OEVacVodNsTH2yt9YvqEWX6ef7zz0EKctXMGzLi/F6bkMuMZw5AexFSk0VC3g+bZtKJkKi9bVclxN6DcQSl95QRnvKDsm7DHKGM8IK4JGz/ftTzwadrvmnd2ANnVfzIQmRCpqoZqd4MvLJWN4iIwTzekvU4hG0sqKHa5u20SCGJROL/ZOD2PpS8LbBO2czLZhFhwk6OkE76RZrT3ZepITo4U76Omm18P763xZpBekk5GXwZkN68MCyt4fIFAamhRlV7ARhBtZH9mq/XFjlGs5Vqi+3tUqKsuEq58ctZL81zcxUT1gaQkYcYbK9HxibUveL1sv+slbHxBkFOQlQ/F40BwO08hZmHnlEj3Cmv7UAu5QmysspItqs8LfhZAeaXdRsCBzapv0/hq9yhavt80dIJimQH5ipOuQmLVhRp9nBsFjPJO8QaH0aZoW+gQ0tEAQtCCadK+0gBaKLp2KfI3YHwzt93v9aFoQRbHh9/lxT3opqSqiZ3KYuoqqEIG8XcGRZkdRFBRHyGUqllbqCqp5Y8uOMCez/h4kck+sEG+Mgx4tfV0sLqngtmt+xuV3XGqaypZMRfpwctu+LVy1ybaSjH7gtq1tdDR28eEvXjLjPswgczLK/4ttZhaXpmqMHhgltyo3zN8JocnnuGOPBpJ3b5Jhjfq8Pra8uYvSxaWxGxtgJjmf8bhxo2p3ziJXM5kwchUmi5kos68SJQFXrUCs/FBBiC6UF+2PG1EuD70zVgoMAJpGen8/6aefHFVkfeLoVSguF7mNjUwuX07W3ia8OZ1kjFbirgutfWe1tOCqryeztQXXkpD1FVQUspqbcS0NWbZZzaExuAu6I/IKgoQcCZmjC5g4amVIaVKUCAJ8OXVJWHdGz9eaknLyxzOoKSzDWxCaY1tHOsPUeTKP9GUb1oWV3o27NxvecyOGK3FeEbgkFFk5L1QIZkGqoi9DONTmonjbBJxaRDCB8nKHq5s2EUXloBWyPtKtTqXdjb/Jha9keVSisJ73Uh8pKQjeJ5+809CdYkSYvaS+Ooq/sr6sijuefyyi/UXHHROqpFKVzXE11ZxWtxb7sJd/D08nNsvcmnraOfe2aSGmj46UYbSeJNfR1LcV/cn/TzYsw+5yk9FxIGyti3ZGx5j1K0MOJALCdTzlY6z+N+rbPj4BNggq9qk1S7HWGVrD1ABvQSeaWM8EaU0zMWEbD+NPUoKB9EggOCjRiXImllSFUsRo9yg5JTlk5mWELT+CwoIMMjk4QXZxDsFAEJvdhiPNztLqmnCpsJkimUsUe7s6GOwY5j+DTRxXH1oSiJdeMhnsPIlex3N/eJExv5ujz45mEZrLyPv5bn1aWZxJXeM8XOt2xl1SyqmQNhlgtH4/YrYM150ksqakd3kD2cthaKpSe9Gafpb4/05znNXUL9sw/XvJL11LXxdrKyrDrtOi2iwcGQ4OjA5xzdKjKS0oBQ2qbL7wcbKWe9mG6bqfgntTXh/K2QFjBuMzqgwP01qu0fpXqH3kWlT2jkbcSxuYOHoV7rbHyZT60rttzSwbfZvwepgQ9lIxbCMFIB5hjKIQyEgPCUyRA6MFsU2tLHpzOlDUIIpY45z62IIw7VuNRMBpQ8sMuc+tWGzi3RYvTJ/vQBCbW7Py5gKwqLYcdSi0DhtuHP4bDH3VpnsJavBadzPLi0tD+oYNbHYl9MYoNhTFBjYbGQUZYc5i14iL7t3dZOZl4hqexD3qxmabWpdWxF8bzqx0nJlpYUaqZEzsRhN4LMq9+vKSyPa9A6g+lb/99zkIBrGnO8JCE+a2UHOi90DPGrav8QANZy+bVZ8zgf4c812Qypj3rtr5lkj72D1PElADvPcTZ7GspgIgJnWdFWbzsOjdu8PdoWon/WmjjB8YJX9R5IL/1p5uLlkeEsii8gJMj9+Ihs8sFy2i6G8c9H0CQ93DtI/2k1OUE7txDCQSdZtw36/uC+dqJlSrU9derobBpAqFs8v/FJDJymcKxRtA8QZJ84gJfnou0FPYB/VbFRuu5StC+xQlfGTO7l0hNyeQt2IpEAwrL4qmkbV7F65lK7B3PkXmUDlaVhYTR6+KyNW0gj44yEgJEgFCRsfJxwJRwUV66NsKiLaZq3phLMDCqlIacototU2EBeaZDes5ozyHW154LqzECteqnPolxy+I9y1WXIKA0XOpL2MIITezSD+TPUx+ewsFrR60C8oszyPjcHTTzsQDctBctTION8sz7okxGCRt6zj2dg/ZNXmMFGnUvquO1gM9kcnFEA4E0lsXVvmeEF3tBCKTquW6fvc99Hw4IGltRSU5Q04aFi6gLDubQH56RCCRvCYiB+ZYJY8LxNMGzKtmiEnOMTqKlp4eLkQsW6NGATsyAXzOjsYwhR6EIjJF8JFou2pZXZgpyMrlHAuxcjUTDgxSNRxeDTU7ZClZWZyzhczeYyn0VQ3bqEr98YujBX2chO1mXiaj9AlZ0SnT8vGOeymuDeUo9jb3UlpXGlc1HiPMNsdQjpDX96W3LsPH9g7Q0dTNgH+M9sk+GqpqcTgdUfEJM40qj4WZXLNeyX3glt9x1kdPY+Hy+S8MZ3oPje6/GW+5vP28istnLjiXrqkP3vXU92Yy3vBgrDDfLMp4EQwG6djTxdbndtC8ZR/VC0qoP3EJx5x2dASxuZFLRw+jtJCZQlM12t5so6Khgsy8kCN04+7N4RwzWaMVL7UMebxG1qfe0jS7JjO8uqmR/Io8nBmJR3Jawcr6nIkS5zswzgH/tNPaSgCZ0czJgkdzqbTu7phRBKseZgJ3JtZn2qiKP9+REOOQmXUGxqkqQFihsXc8TuZANWpaG47AYtZ842Ze+vM/cA4O4ezttkx1kZUs+Xxy8I5opx+LGSmHHKcggmeMjtNHk7sL2sjurcSm+jnqQyHPjl7hFcpufXkJTzVuB6aLWUMoml2UJxPQF2oQwUJyFRWz50yv7FhVsgHwdUzQ+0Qr3ncXR+0zw9vF2oRZWpyzFZyHC8y0Sj3MhIRj1Mc/HvoPdrud6752+Yz6iGiToMIhtx9sGyS3bJrSTnbpypq1WP+8+bwLI/I64xWeMxGcL7+8NaZlEW8VGz2SKTx9B8ZxLoyuGhJRjNgg0tFsstIm/bQ2dUECkYuJQh+MFg+E4LSCnuhf3q6HVS3QvJUNTD55J44JlcyRCtx5PdiCIdKJoB38eWlRLlYB/fq2HBAm0/fpvQlGRan1AlC+HhH9C9NRtMJzJLfP7imHYBAtPZ3MtYMRkbJiOQQi86Wfbno9YmyyFS6zhsF0BG4smCl08nbxXOiFXvu92/Edm0uwOP7lg8NNcM4m3eeQuGoFjliX7RTkBykYDDL8hxZGS4IE6qLdskAE56V4mPUuNX3IeaxyYXqM9o7hcDpYvWxJ+KW94/nHwv2JF9IoL1PWvsUkpg/HN5p44rFYJo5ehbO/H19paI1Fv14l3LJikpTdsAL66vRyNLNRdK84j5Fb2grxCBQBWViZrTsWlTqTQm8XC1YFBvRl1ZpbOlmYVYCjOBMliWk3RpOV/OxqqjZdJF2B8f4JFMVGbmlu3JU3ZA9NsgKEzLwvQjHc29XB7o59bGtuZ+WCSvYERjmuqjrqvTTz5sQ6f8S5EyGnt1D6ZaVWbrdrawu/+78nuPWBG+M+j1GfRzIOqav2cEC81qYeLb0DUcdOjrv46kfuYt35x3L0huWsWRZboMRbFzPel2lyzMXEyCTlC0MCSmi6+hxREW2r3/6Jk88xHdtsw/b372xn0coFM+5rNpanTM2nJ5kQ+yE0sau9bpzV8fHRxrJCAdQxHwQ09g8NxtXnbBFPyTGAsV1jaA4FbUpwWgUcxbJmrTiMBaJqWZano4ypDEz6yRxbHG4jr8Hr3bF6LmOxXYbZOraVtSkrXaLyUFFtFkMtE6RNaqRPVBC0O9CcabiL2sP7BVf0xt2bw4E+8jsru2r10K+tipgE+ZmUv4vAIqEwHn/60nAuqGykCAVd7JefT9uQn/QXR/C+s4DBcX/c6+yHk7WZDGKJQ2pxChxOlmfChY2JfKjUES/uNwdxHvAw7vGS3pBPzimV2JTpqERxDlHIVn4hJo5exQ2nRCaF6Gn+ZDzd9HrEy6ppGovJY9maurDgk4Wn7AYSEXZ6zk6InCgDNedHucus1rpkhCckTcM5PEzGKSeZFizWswLJVqdZnqyYROIpOizDdMKYCppJxIWlh976LCqZ6it79hZnLPdcInUyhUB3FEaTfCeKeOpCRpzbp9K/b4ATT1hN20jfIYt3MFPg6stL2Nvdx8svvUlxbTEdnr6ItUe9cJNrX9YWlKH6AwTUUJWfgBpACwZRpvKB07PSycrLjDsYaqbKvYy2vV08/NPHcU14+MBnzmPF2vpZ9XekW56zsjiTJTgFDgcBmmjqgRUCbpXAxgMo51bjKEqP69yCtFnPACIHHcSyQrv39bJ6eS39Xo8hab1MiCDDKAoYiAhhD2+LQ3DKbSYallFQUcrI0GiEJWFEWGBW+gkihaZs/ciloGK5ZC21bJ8GkwEojB3IE3eqyrgaKn2WFSk44z3eygWbyLj0/WgelcCoj7Ty6fthFCmrt8qNoCfriIXJYRc+j4/CyoKDLjT1/NJGKVWqT2VL4y7+3b4LR1FIsZDfQxmaqjHZP0mZUsDC0nLsDgVHmgPFoZCW5sCeNs0J7HF5GegcIqcgm+olFTGF52yFZkdrL/d//88EPSpXfOo8Vq5bEvugOJASnBY40l218TyUi/CEv+8ntmaud+H+4vaNHLNhBce+86iExjabB9Pn8dGzr4+FK0IM1/poWpna65Ll6yKEqZV1C9NRgolOdpNjLlyjLkoXzG4iiEWqr4dRKScZekvpjdZ2tEk/jtJMEoEZ+xOAOuTB5lTY19sf0SZWP3OJJfXVNO9tRxlUY9YXjadAdbwuXAA0jYB9H75chaLFOdNEIjrCdrmShx5GZejEdiPo3bRmSp8IBjpmSQXbd3ShZSgRipZI/dra043m0wiMejm1vIGhjAneu+5kWvq6OGvV6vA8IN5j2bJt6esiz5/Oy207cOY40fwBtECQ6sxS9g918VZPLw35xfy7dQ/upspw7IHZkoDe+t3a04065GX8mQ60cT85p1aRXpcXvoZkGgfzBclwz8qYF65aGYeD1QnxP1xGD5b8IJd3aLz1rz2su2otBYsLI65fH7gBhNcrbjrlgnBQj1jHkGFUpUUWZgd2d1JYnk+ffyyqGopwNRmNRYYgpA+xDIUQT4kmI7jq6kHT0HIiyQ/05O1GQUGifyCmJSzaJrJ2E7EOtKMN/LBkbW3yhNioCuk2yIhdjcTIWrSavOLJuZSfM/3vbhZBrIeZ1RkrGMgIk8MuqnOLKK4qinneZMGMqMMoOtzv9fPKy9soXFCIpgbQVI1AQENTAxwY7mV3Xx/1WfnY7DZWLmsgqyD0rCWiTHomPPR1DJLmdOBIs+NwOqivLCUtPQ2nM2StHmjqJjM7g8raxLidJ8ddfOXDP+bMa0/nvPNPjNleNg4EYhkJKYvTAsm0OI0sg0Odx2llcRo9TDLisT4FWna28dBPn8Bms3HNzZdQtSh+po5wH3E+qJ4JDz1t/WQXZFFcWRjlCpJ/ByMyef2kJ7RngUSYgmQMdg3hzHSSWzh71iAZiVqcAvrAC4EVGYU09vTgKIjtWtfDjBBA7XejZKehZMVe4zxYFqeA0udDK5uZxRnL1SxboRGWnqqSuaQfpiKX9XVIRcS3zGdsRBQPRK+5axoTR62MVO40DYUQV3L27l3YNI2gzTZFkxjiS/Tm9ACwcv0CsNsIBjR2vtnB6g2L2d/Ry4UnruXRzduoq69mVUkpha6scGpVrBQqo/Qx+V2TPUGXLF8XfueebnqdR/75Kja/RrAwRDpvpagLvHn/G5SuKaf6hBrD53E2RsF8Q7ItTQEri3POSj+Ih6alryv8MWtntX8+YxGemMJVoH5lLV+79wYu/vhZ3HnTL/H71ITPJwv5+vISU6Hf09ZPVX05pdXFhusn8kssC0mj2petI51xC8lYv6HqD2B3xF//MV7MVPmSXzj5e2N3Nyg21lZUJvxSmnlTgjCHb9ssoefX00GfYC/+j2d9NsI7IHkkFFWFgAZejbqKMhSfhuLRyO6rhHEVxRXA62xldNc4ngW1eBYsxPXS6yidXTgGB0kbHCT/tdcoePVVHBOT+MorsKefgH1yErvbQ/rex/FntOHPbENRVZQpLt2spj1MrFyFTQ2gORxoGek4jx9nonoAf74Df74DZ00OB1wjpNfkkrcij/UrFrNkVS3O3HQuO+14Llt9PEWeHAqrCsNCU57D9POZUd1eCLGB1ZdVhd+31pHOCKEJcN9Dz0Oeg2CWgjKggqqF73lzSyfNLZ1Rz2jnK+0MeT1Un5BAIVIDvJ2FZiwcEletjMPBbRtrcoilAerr7rX+q5n2/mH66oxnLKFty1XlgYhQdREgpBcaPq+PN7bu4qQT11gKMj3PrZygLfNq6kPhZegZXGK5b/32FrxLzw/XuDSroGIUPSv/L4jq5Wr2+nPOispOX8TaAnHT2w37QhG1M8yXTNYkpreINU2jzpPF/ixPRBuILMuWKKxctQvyS2jeso+C8nzsDjuKzYZiV7CJv4oNm80W/guEv7sn3HgmvZQvLA3Xv5wJeg/0k52XRU5BdMqRni/W6HpGe8coceRQUlNMVm5ia+Ews4Af16SHA01dVNWWkWfA9bwID691THDbjT/n1t/8D1k50eOKV9EXsPKqHSpXbaJG1kwV60Piqj1YFzdbzMZVawSrB03016o5+cqHf8y1t1zCkqPjpzqLhZbeAYZ7RwAoLC+I/ziD3ypWEnc8uaV6l66cw5lszJZZSMZE9zh73COGblW9QmQEI3etr9uFozgjJtFArEjY2RB0GJ5L0+IKDpoNIgJ/cvbhnNTwZSmQpkSQgMil0/RKUTgI6KiVOAcHo0g09DCiyYuAqqKoKpMVvQARpf5EsBxEsm3p076aettw9U0S8Gvk1uTSUFYbFUsgYPae6HOsxXGtI50ha3MKcrHzhVlFKJl2HEUZEc9jUAvy2g9epuHiFRQtCa0dWxkm8URdz1ccDEtzVsFBC1cuCF5y7xVzMjAZh4PlKZAIAbYZJrrHeeW+TYycngv20GQqTyDHn740/AKLKgv3N0bnPuqrlvQ293H5OafQPjoWsV1YlHrSaflFF22NIEfhypOcDP1EJyCCfwpefRU1Jzuq3qaeDk1MeGICPf70pREVJWToozEFZmVxJlDEOt6Jxtc5iaM8k9a27ii2qERSTWY7sckEEBBKoxjvmK6kEw9huxWsLM36sirGhyfwuLyUVsfPj6rHgV0d4Whx03NZ0EYCqKrKpk2NvOMda037iEfwQShafLhnlJqG2PcpGfmYAJ2tvfh8fmobqpgYc7H5uR1s/scmFqyp4wOfjqYtnIkRAPM7QMhKWdbPazOBlcU5b1ZdDpWveiZIhlaWU5lL/Ym1lO23RfQnNG0xcdYVVFNfXsJ+MrhuVYglxexhGO4cpr6m2lJoim2in6ebXg+tYxqsM7eOdIY1b/H7iL9GgkmfOylYXWQIQSmEpd5iEAwumSO14VxNMyESEXiypt90X6KwacGkvhnNLZ10tPfRKq1Nib9mz5K8XV5TnC0MFVTb9JKB2XsYS7GtK4imnpMhnlnXmJvM7JmTLag+FZs99o8TTgEx45Z2OKgpLEXTjGunwlR+59THCtl5WdgUmBiZjDmuZKG6rhybzcYtV/6Q2z5zP/3dg1zyuYu44lPnRbWdqdCc7zBNlxNc2nPoxTwkUbWHOpIWEs/fnAliaWuapnHLlT/kph99jJLKQsu2sTAyOMbI4DiB/MQjQZMJs4hb1afSvb+PBQ2HLtFdhpXbdnT/MLk1+Wwb6I3aF6+Cpxc06rgPbdiLvSgde44zPGFbrdFZCdZkuNmaWzpB1VBGVbRZsCQZwYjyb2jfBM5xDZ/EAazPj5TTZkQKVMQauKaheLxoWdPrd0beDSAivUk/FoBFeUUoWZEFpyEUtCMrmnroI89bRzpZmF1Of+sA5fVlLK2atob13hwjF25LX1dYKX6mdyLiXHc8/5ghl/XR+SW8/uNXaXjfckpWRKeqyMXrjxQcLONK/LY3rv7c7Fy1X/rDF+a0grkeR8KPHe+P/NbDjYwtdJJen2fovtNH2ckuW/kl1OfFyS+pkRvWqmag0TqNIIoXlR+E61Z22+rXlCImsK07cEy6UAsLosjdxXcBkccp+jLi2xSQSd71mGnNy0TSMwTM0lBkaKpGYNBDe2sPIpS17qTFEW2sCP+TBfnZfONAJ+qgmxPWRrLJmPGlGsFIwBgFrXU191JYnk9+SV5U+3jhmfAwOjhOeYJ5jUYYH57AM+GZNSGHQAEOGpsOULmoDIczcn1cKJTJcNX6fSrf/sTdnHnpOzj5XMN5HUiOpRlvyl28LtuZprIdCsybPM7ZINEHTv/jzOSBTZaLw+rh+8sDT5FflMsZF580q3OMjUywY297mNjd7EVN5kObSFmxZKxtzeb8YK446DHcOkxhXWwPgL5AeLwQlUHUAQ/YQMl3ojiMLc9EiBBiwWicmk9j35ttYV5evdBOtAapQAQloqaFLM1sBaTrNCp1pVcc5CAhd0EbmQPVKKoaLoQOofzOySfvjGAZ0hcx16+jH3/60hCZf4+LD7z71CgrMpYiKbeX90+MTDLQMUhxdRF9U/VcrTxs8jN51qrVQGje2U8GTzVu5+a7HwamlUeCQYrf8LJ4ZRWL311n2q/A4WSEzIflOvkZsLI457bG0QyQrMXzZPWTDIgXwQglFYV0H+g33JcInE4nJemZLC4tCrv/5lJoJtqn6lNJS0vO46a/rngE6FzkCcfD32oE8fsoRU60YR9qjwtsNpQMO0qmI2SMakGCwSB1iytnnHJhNNZoBFlYWx7BVQvxr6uaCVdh5RfVZjGyZwI1XaGoPpRCoXfjGgl00W9RbRZDSJGxmg93Xhdaln3aK/HknSGe4pEQR7G9ow1tRy1ywoYINgsxJ00Xjx72DdM81I6iKBHC0KjMV315SXi7PuJcFp4ZOem8vnknK5fWkVecG9GfWRBefVlVlKLbOtIZVj6EQuHvnsTuGIpLaB5OmG9CMxbidtXqcTBdt0Ywi/6bTxpWPA/D0N5Btj2zh4EVjlCQhg2GDoQm0qLaLG4+70KuW9XAfjIiOC9liJdxS+NuAI5dtTy8z0xgmNH01ZeXcO8L/wSIYjUR38U+uTq9uO/NLZ0R7tOwm3RUZaTPEy5fZUbNJ7tdr7/ylKiK9zJlnBE3bLzQp3jI/7e+si/KhRoPYqWqWD2fmqoR9KgE3YHQBluIucbmUHAUz75yidl4VY+Ka2CSvJr8Gfejt9T02L+znZpllSyrrjDtI14FbLh3BJvNRkHZzMcro7etn5zCbLLzZhGFPQVZ6KmqSnPjAUqriihOIDUsFv7+2+ew2Wyc/8FTo/bNRRBQIuxoBwMH0817WLhq55OFKDCX0WjigRwfneT7n3uQn/zwKvZraWiBIJqmIX6Xtv5hFpcXhxLCbaFEcMU2lSSu2FCmEsNVNUBv+wAVC0vJsZgE5uLBi2fdoru1l8KKAjKykhO8ZPS8xFvXFGbnqp2NcpaIcqdpGmrHJLZ0O0FvAOwKjvLMsFtX86jgnCYBMCIukNcn39jXDloQJXu66otRdRQj6JUUs316LC4vZVl2Ec22CVO3s6wIyWv8onqP7K5VPF4mjjqKrNaWiL4EMbu8ni0TiQiuZz0zlmfMg+pWySnPMVQUxf9nNqyPOF88HozaojK2bNtFbWkFExl+wLoowVmrVofnnLMfeSgqtxWg+HU3Oe+q4vg4S4LNN0MiHp7jgw0zSzMpwUFmONSWpx7z7UGJB09/69lQPqeUFiC7sx75+udZXFpMUAvydON2FpVU0NrbRTAYJKgF8bl8eF1e0rPSOWblMmCaCxNiuyD0uaDycWZ9GHHcAlGWoIDS70MrDnFtCos0UHM+9o7Hw39FbU1RTk3cv0de2mxYBULAaIKBxMnSIfEi1jJmGnFrhcCED5uioGQ50Fwq6oA75M7NsBMY8nJUVTk5lbmoPpXGnl5wKmiTKtqoN6ovW7odFBtBt4pSkI4jz4nmVglM+EkrzUx4EosnKOjArg4q6spYsTDaFSkjXoWuv32ArPwsSwsxHkVOtFFVla69PTHzQuOB2bU1bd/PooYqnBmzi1x+9udP8OLr+/nafTdgs9nmPM1kvlmbMg6G5Wllcc560UnvwjvUmC/u2kQmIXuBk0XFpewfmn4YhBABuOybd7L1nu/RMjBAQ3WIeSctY9pq8E56Gc6YZGlp5IsrBFoibCZim5zDacRnK2+Xi/oKflchQAU9HkFwN5YDIevA3RaKns0++/Nof9xI5prQRBhy1YZYXIS1JLtnjSI83dtKYcrFayZA44YGKObkrcnQkPV9WD2v9pxIJUJbpLF1XweaSyWtMps9I4Ms8Ws4Mh0Exn0E/RpKpgNHVbZpwJGmamjDXnwHxlGy0ziqpJScitBanFGtST3MFDH98+SZ8JCWnsaKhVN5dRZepXgrl6hqALvFmm+8UZuijWOK/lFV1fD3mcDq2ioWlrBvTwcLllSRlWAO6yI8aJrG//vOY/g8Pr5yzydZbItWit5OmA9RuSlXbRyYa83ut7/6L+Xl+TScc6Lp+ay0P9UfYGw4lP+VV5iDIy0+IvWD9QDWl5fwzLNbLen25Aky1uSXyLOi7ycWf6/f5cMz7CG32jxlIlF3kxHna6yC0LGUv2QIcNWnMtE1juYLkFGcBUHYOdyPIzc+y8honEbl2chzRLhbM9f0h3MMZbesXEtSj03P7uX405ey5dFdqJnT0blFtVnhwu+Za/ojon3lMnyywiVXAWod6WSydwJ7hoOjausjlAZ9fVoZZsooRNJVCpo+j8vLljd34cxMo7A6chlARNM+1bid61Y1UH/b98NKc+bKXtL/O4JW5MB/TC6XvXN9zPQgMxxKg2I+uGQhsQCgOXXVypgvVicc/Idkpg/G1p5ufG3jdL/Sjn99KOBBpt4TkYNb7/keTzVujyg3pH8IVJ+KZ9yD3WEnPScdxa4YvthGofZgXB3F6CWVJxRBBg/THJ/CtRp2tb6wiXdXL2V/lofmlk76A6dTan823J+8NmVUL1LcX3lilSfoTc/uJVBzPjk7GiOCkqwsTbMJWnOppkWs5+Ll19/fRATqbJ45+VjPiIegpmFTFNwDLgqXGNfIjIcZSEaRkobH5YurlmQsRUkoVM07DxDIc4bzJGNR68UDz4SH4f5RKheXJ3TcTJT9fbs7KK0qMo1DkJXm0dFJPvfpX3LCe0/g7PeffFAZgN7ublpIBQclBXP50LrdPj57w4Pc/8tPAqGH1ux88TzQ7kkPE6MuMrPTQ3RgNnPX41w9hPJk5/P4ePWNPZyyYVXsA+MY22wszoh9Btana8SFz+1nKHPC4Ii5RSyhKbebCyGuaRqj+0cjKqVYIVY6TvPedpQBFa3MGZWPKSKmjfo0U5qaWzrDa+VLloa8FzK3c/i8U9ambOnf99Dz4VxIYYnK9/G1TU184KzToqoCCeitVH0ReUHWbtRehmfcw+TIJMULpvOZz1q1mqcat4dTXtZ+8svYXQGKd7rQTshDWxBS4oxIN2aKg2VYzBdLExKzNsHa4pw3XLVvZ2RmOvH51DANm8j7NBKS8dQAzczOCFH42WwMdA/jmji4XJV68gWfT2VxxaHJz020vaZp2B1KFPeq+D8WJ+tsoOcD1m+HuROaAGigOJTwOrXRR0bMsmOKgpYGQy3GSojc5yXL1xled3PLtEdjSX01BGHJ0gXhWpQQSlsS/wtPhN41GyYQmBp3XUF1xH7SFHwev6l7VnhhRAqWiAEwEpj673K8QEZuBn63iuqfrserV+7SxlRKdriourIhLDSTjZnUmp1P/R9qJNVVKzCfXLZ6JEvTStZDIcYz8td9ZG+ooG18KCoadKjNxZ+/8QVa+rrC2qkRjOoHBrUgezr3EfBrOHOcLC1bGG6rr7upD8eXI2X160NW61B6qrbX97bx5n9bKViRG5U/KawFfS6l/n/9+OTr/MZ3X46i3ZNdvzJiTf6uAReKQyGjID5X1VwEx5kxEhlZQfK54wnssYLqUSn250RYQ2aQXbOapqGpU2TpSojgYWllGQD7mzopqy6OGRQTr3dhz7ZWlq2JL/k/EW/KSN8oWkCjKA7O6Nl6x9pbugkENKoWleN0OiIU4RdbR/nB5x/kprs+TlVt6SEhaJ/PblpIuWoj8HZ21QI88dgbjIxMctWHT4naZ+a63U8Gz/zlFcqqi1l1QnQlEhkBNcDYyCRaQCO3IBtn+nRUrmwdxhOckwjqy0vo7RzE4bDPKBE8GdSJieR3jnSP4sxMI6sgeg0qWcJRH6VshngKSZsJbqtUIrNze0Y9jHeOkZ4byrWNmBqCQQgGMSomoiiAzcbugYGI9h0d/eDW0ErTGOqLjAT98ze+EGGtyRHaAkbr2a2v7GPAHbLWppmApvM9RaFziExj0rt0ZXfu2opKVJ9K/lgmkyX+CDerXB9TT/oh1+aU76eVAiOus9Sey1vNrZx4whog9FzvaGnn9hvupnu1g8EJ1ZBjWR9IlSzMNjd5vmI23qGDFhxkhvlqgc70YZmLB+WNfe0M/7GF4ZNDRGHC6hQ5j0W1Wdx/9Scjjnliy0vsuOdNFlaV4qjOJv9dpVHrmfqXX1M1/JM+gkFIy07DnmaPmqD16zMi3UQOzhGBQHLepkgFuf7KU8KTTHNLJ+fULeOfb+2CjOm6oxCdfylb2vp1KHFOIEogiPPIMAsMivXbTXSP48xNx5kTHVlqZvEmAiMWJiPEEppG5zXLrY0F0ZdnwsP4wDj5FQUockrO1FfFpkRU/jCDrNzsb+qkqCyfvIIciyPiV5ASsTiN+rVCZ3M3heUFZOVOu0fnUqHft7uD9TU55ORkEAwG+ewND3Lue4/jPeea1wg9GJjPFud8YQ46KFy18y3XUyBRrtG51KyUTAc2G1y4ZjWPbtseFgQi5xGmK9ALi3DoP71cc+OFvP/0Bu645z/s+F0L5ZfUkpaVZnqeJSULqD+qiqbOdja++dr0uR1KxH2QJ14hsIQwXFtRGda8hXtW8Iq6t5Wytac7XNZobUUlr21tAQcRUbBhAvApDLW5aGaaXFweixCeRgJLbNOnIZgFmMSCFtDC+Y9mQnE2WqxVn/L1mY03Vqkr0Uc875q+L8WuoNgVnBlpMyr9ZyRkNFWLi2t3rqpm6D0pRhDnLa4qYqBjiKzczFkLTCt+aoGGXAXXpJecnAx+9uN/UL+k4pALzfmO+VJdJeWqjQMHa53h4d+9QE5OBu993/qYbUeGJ/mfT/+Cr//ui2Erc8sLb/G7Hz9GRpaTtIDKMe8+lvddfYZlVK3f52dseBJFsZFbYJ4DOhuXadP2/Sw5euGsycqTVZZJ9GWEjqZuymqLcaZPW5xm+XpGMBJYRtZfLHetmcUZjwvWCPGMX/WpDHeNUrooco0zlttRv1/2Emg+DbVnEufC3KjjzdKc9KxQMO2BGd8+hiNYH7WmLbtgAW4+78IIT4Rw4+rL9unHMXpglKySTP62dXuYos/I4yKOM3LXit9IKLkijQym55L9ZPCzp//OyrQFTHaM8OTjr3DUJ9fw51feCPdlVF7uYLlFzZTM+eyWhdkptXoccletHvPN8pwP2NrTTWDEy9g/2xk8ftpVJL/o9112TXjCz1VtfP8bv+GRn0e6b4WWq2kav73zUXbv72DBJXUoU5Gi+glUuFtXF5dRqRTRPtHLzolBLl15fHjikV/gm8+7kNufeDQ8NrG+JH8HwoxBS+qraX1lXzglQazb6L9DyMUrjo8V1CMHKRnxqFqtAxkJLbGtt7mP0kUlpqw7saCvfhGvwJXHEi+S4TqWoakaGRNKwsXGYykzu7e2snxt/AE9Zv1pmkbzjgM0rF6U0PgSwUDPMH6vGlfu6WyxCA+BgMZVl/2In93/cUpmUad0LvB2d9nO6+Cg+WhpHopINoGrP/gz7nngOjJi8FoGAhof/+jd/O9vv2i4P1zT75EXefXpbXzhh9eQnRs7tN3r8TE+MokjzU5ufjZ2R3wsRFZIdF3KCG80tlCWlYXD4cDhtONw2LGn2XGkOXCkOXA6E1t1MHvx9u9sZ9HKBQm5hBItWWZEIm4FM/LxeGFWysoIvc29lC9JjAhAD30u5GtvNOMoTEfJCv1GMluQEeGGgMxVDICqMbZrgrxVeaZ1Q2XyEIi0RGV3vn7ZYEl9dYinuGuSA+4RliwLpbwIy1Ueq1HdTr2rXFibAmbBff946L+83thE+bk1nNmwnjuefyy834xYf75bfQcTc5UaBgepHud8FIDx4lAKSj1OPKmB117Zy7tOW2nZzm5XCAQ007UUse2sy95JWXUx3/z4z/jCD66hvMY61SA9w0l6hROv28fwwBhpTgc5+dnY7TOzwFRVxW6PFr5+n8rEmAv71Lra9F87it0W5dYtTs8gMzsDR5od1R/A6/ERGNfwqyqqP4AW0AgGp0M+7XY7docdR5odxa6EBKzDTlqaA8Wh4PP4UBQlzEAzG+jXA62YmiD6ZbeKAZjLicHIGg4aRM3GC6M12rUVlShOBc2tclzdArb2dBsGbsnXaVabEyC/KoMgkUJF7xVZUl8NFsVDhtpcUD+VJ1rbGe4DTwC8QZYcO13yTh94JsZmVLdTds/qId5Hea6p8Izx5B9f5OM/+giZ2Rlc98t7IoochK8lhTDm8n1IBIfEVWsFI9q3twu29nTj73Ex+UovBRctjogwve+h50NtJOq9W67+Mff/+MPk5YdcnlaulQPN3dz2+Qd4360XRmjFgrpP1qplF63mC3BUTjFvDffT2tELCixZGoqslC0CoxQAgOZd7TCpQqEzYrvmCdDa2kX9kipaWrtAg7raCva1drOotgK00HO5sqycnQN9LM8v5oTKFbjzpmd2fT6pHOy1pqScrV1drC4pIxgIhsq1qRo12WVoAY2AqhHUxGf6PgWDQSqXmdeNFDCrZzoXBbMhMWtT5lFNFMLiDvcVo0h4LIXZ5/FxoLmbJUcb119NBK5JD32dgyxqmJvJc7B3BFUNUF4dO491tliEh/vuforMTCcfvvrUOT9fsjGf3bjxItYzvdx2xsxdtUevWxbcuPmeqBMezhamHvPJ4gwGg3zoirv4zcM3xgym+X83/Z5P3XgO/prYE2QwGOTLV/2Q2x4ydu3GgnvSg8/rJ6BqEfVCFUXB7lCmLDwFu8Me/m6z2RgbmmB8bJLqRZHuv/GRSZzpaaRnxiYUDwQ0tIDGyMAYOflZZCZYYcII8ZDIz9U6SiyieUi+Zh2vEH3pxa1UNES7avXKgZn7ye4uygAAVGBJREFUV6/wlmn57OvvpCk4HrE9grVHB71CFFbiPCqtOzugIBQ1bkSeoXfZ6lOc9HmhMtQRL9hsrF9WGxUIpE+Fksdu5p61wva9B7jrMz/npgc+RdtwH/VlVVz6jR8aupaN7tvbAYfaupyVq3bM7TJkqpkrzTpeHIkWqXhJRzPdnPGjB3AuzImaFG4+70IgxG/ZPuamLyOH2FwnMNQ3Snp+Jve+8E+AqHUaeW0lFsWbGGdzSydoQeoXV7G6tJy/vryFutpK9rV0sWhhBfv397CwogSCcKB/gMV1lbS29VBXX8XK/BL+vr2RoQ53OGk9ViRfMBjEM+whPS89InjHqlqJfvz66zaCEJjxWm1WgkRGPIFC8dRONepjJtalERYUl1KRXxKOKtYLgpbegYhzCX7VaawOfxsbmaC7rY8LNhyfYMmu1YZbXRMuBk4cYeHS5FyrUf99XcMxLFqjsRmP1wyL8NDa1ssFZ67h7JoCqCkAYPieryfUz6HGkWB1zhSHLVftXHKGHmpkLC/Es3s4/L/MwSkrDE4U0qW6nFboaO3BUZQe/l/wZ+pzNSHy3pqVVYIpkgLFRktbN43D/eAMFVyuX7WQdctqqV+zkOPX1OMoy6TuqBqOWVAdeuK0IDsH+8JPnz7U3kyrttlsOHOdeMe8YYtX5hyVIY/fCPEImniFkV6QiL/6TzJgtH5q1XdLX1dCSm7ZghJsgx4W5IciPM3SkOrLS8IfM3S39bF4xUIcDkdSrHeHw4HqD8y6HzNk5WThdR+cWpdDQxMUl0Sn6BxOmE+euoONmGpgXmZWOAdpfmLmY5uvP7zfH+DaD/2M31x2pUUrD4rHw9J0jXhs74oFpWR6bHzi5HMM99eXlxj8zqtNvk/DrD89xL3+/hnvBmanrbonPUyOuykszcduV2jpreITJ09HwU5P5ok9G0bUg/r9s4WplRuncDMqCRdLKCcitDNyMhhxeXlz136Kq0LlxYyuW94ml6UTqEkv5a3mZvLG9oS3Pd0U+quPYdC7PM34eTVVY7xjlNadnnA0LESXoouH2MQslzOrz8FzU2PWHy8rl/o4AfE9HlftfjJoHfRgy0vnmd4JWvq6woQiIiLYrCzekeKqPdyNnnkXHJQojjSXrXhZh//UQu7p1ewfHQSI4NkUidc/u/FBfvTHm+Pu+6Yrvs/iG1ZSX1gTJouXk7sF9K5NI7J3fXujSUbOsxR5neKvDLl2p/58RmMCWJhZzp6OfaTnZ4RzVBOlmANjoTIXAjNeGFmUBxu1xQW0vtUxq3zJnvZ+0pxpFJcXRNy/2cZGyKlNiRZ8FzCLRFdVlf27O5MSyBQLf/zOQ5x6xtGccJI1x/ThgCPVZWsVHPS2tTjnq7Up8HTeNg609XPtLdeYtvm90x4XtZe41urF5by35lhq6kJRo2etWh3nb2vdRowheiyrI9rcdvJpAOG/EPnSTf8mDVH7jHDWmjUM94+SV5gzFWQ0N8+pWU7nXNB/WVmkB0uItg2OoCg2fB4fzql8Yv11xgoKGm4dJn9hPkrTNH1hqAxXdG1LASPmIFlRu2T5Ot54cweFkkVoxHcsHyfa6fvS9w8hgoXs/jSeGtzBkqIFCeXXJhIYBNA+7GGvzc5fX3guTFAvoK/sc6RYmXoczlbnYbvGORvMd6EJ8M5TVvDi87st2zgcdoaGzAsu62t3nnbCYhpfa0raGPXnmulxZjVGY/XpSLNTVF7A+OgkXrdvRuePF/Kanry2d7Ciyw+G0JSvrbA0n/6e4dgHTUGeBF39k6RlOiICuIwqh8TrIRCCTm7/yEvTKVNFtVkcf/rScEqUHkaCR79NUzU0v4Yjw4F7wMXG3ZvD593a083Wnm7ObJimwpS/1xVUx3wOXBMuWt9qp7utn5HBMUYGxxjSJtna020oNI9kHAnxKYe9qxaOPHetwNZ7N9OySCWYG3IM6F+w95evIa3PzzU3XxJXf/1dQ/zyjr9wyZffF7FdrNHo2WxkTd3MFaqPWpWrmOjdwEYuXaMannIagT6xXV/rE2BxXhWTw5Ok56SzfEFtVHFhcW1GqR56gRRrApwPBNMzRSJCXtM0mrbtp2HNooQ5hvft7qB8QUnMGpxWkL0YMrZv28/qNYssj21WHZS5xmj1h4KJVL9KZcCD3x8iywhoGoGARjcha9pmiyThGB0c5+jjlyZ03bHcxu0t3eTkhYRiiWuM79/2KJ/+7Dk0LI9PgKS7xvFm5ZLuCqX1eLPmX2DRkeayPcJdtRCPi24+W5niZRAQL8VTk4V0tA9yzcfPMDwuGAzysQ/fTUZPD56K6KR9+Zr3k0FpVREDPcPUlRVHEL/XlxsF+CQWdq+/v/vJiCC2NmJOAeAy0y7D/cQDTdMY7B0hLy/HImBp9s9xPMInnhxRfbu5zh2Np295bIqiUFJZSG/7IJW1pTGPlZUVV/8kge0ajnQ7tfmV4bJkB8Z7qc2rpG20O0w8sbOvl6OKSwkCe1zDtHb1RqQm6ZWm0f3DNL/1Iq1t3RHbX9+1jwN7ujl99QoUBZR0B3aHAoqNxUXVtE/20jjQy5qqShSHYioU6wqq2dGzl7vue4ZLjj8RTQvVIV1cXMEzzW+wKLcSLRjkwGg3iwqqwAanrzyatxTAFupTsSmhGqVKqG6ow6GQ5nRgU2wUFOcRIJ9155/AR374e/rqbRG8zQJHspv2cLc24QixOOHItDq3HOhg6Dd7GT4tJEiNXrAvrT6b1lebueFbVhG407j76w+Rs7qUDe9cG8GxCcbsNLGYnMwqf5hZp/poRr3FKZO862tsyq44o/zSxXlVTAxNkpmbgSPdYXpNRog3SOhgCDirMZhBjihORvFvmMqb7E48b9LnUxkbCimDYn7RtCDBqSrYdocdm82GzWZDUWzYFBuT424caY4wa4+Zorv7rQ4W1ZVFcTlv27qfpQ0VYSvXrPi7QCyF7MDeLgKB0Hhtig3FZpv6q0wvcE0xTmlBjaAWRAsGqcZHUNNCAhfQgkH2uW0UlebjcNpZXxl6f91uL9d+6P946M+ftxyHgJlyPZ9xuFugs7I4DxcciTR9xy6s4bnCA1QNOekq9BpWFlEWZND5lwF2bWlhxbEWBJ1TOO+qd/GT7/0BV5kaXmswum9GhawhdnV7ozB9mBaaEMktKq5Dpu3Tl36SvxuVeRKwKTb6lBHKxgvITc+hvqwqYqzydYi+rEgJYgmgZAQHWdWITETgyW2Tte46Oe6JKOpsBr1nw+l0UFIRDy2HfC53RE6ymeBzpNlR1WhC3fqlFTQ393DUyhocDkdcQlMu8aXHbEkW5L4rekfoaR9g6dELEdI2MzOd0rJ8Wlt6qau3JtWX3bN6ATqfEU/g4uGKGVHuHQ6Yz65ZGUYvgqxN+n0qd935BEOD43z1G5eRlZ0e1X5wYJzrb/gF3/rFjWTlxJ7ovnX9/3H9166ISfhuhoN9bxN9+UaHxsnITA/T+Rm5kY1e6sP1RZ+p8I5V2Lm7tZfCigIysiKfOaOydHrFSiglor3ecyGOEdvCUbhTBdWNaPQAGPVTt7wGJcsRbrPp2b0AFJU6wR9kybGLwuMRQTxGuabyeOXvRnR7Vp6LeJayNC1U0FuwsG3cvZl9T+5FGVfxr50uJzZXLlqzEnsHE4ebi3be1eOcaxxplufWnm48u4aZeL6bEz+2nn/tj4yMvWzDOmx7fXj2jvLZ7304prWy7ZXdPP34JnLeUxp+mOXySEbn1wcI6UssyROjmDRli1PO3TRK8BYuWz2vqFEwkIBsfcqozamgLC2fgtI8ywlTXDfEzp9MxIqLd43T6Lj5wgGtqirNjQfCdTTNU47MFSmz9kboae8nqMFJtdYuyI72QTIy0igpja5d2dc7SkDTqKyctnZHRyfZ2djOWzvaaW8fZMPJy6k7Yx1L0lTD8RrBSPGaDUR/kxNuPv7Re/j9I5+zLDYPh6er1giHk2KadJL3+YjDxcI0gvxSWL0QHe2DfPlLv+Obt14Rdu/Ik9P//e/vOeYdK9jwnmMtzxcMBvnyB+/kq3d/gpz8bMuJDyLdTsm+z/prF9GDsRBr8h7oHyMvP8uyTqf+evQTvZWwONQwcyOb5Zsm2vdI3yhaQGPY7o7rGD0TkJ4UXq9k6fFGVydqr4c1ddUcVRtacrj9iUdB1bCNqlSm5xEY8ODvdZHnSGciQ2PU5yaYaSeYpRDMtFNZUEDQFaB/bz/VZJHhSyOYBnUrFjKS6yGrNIveN3sY3zNK5fIK8k8o5phVR5mOSa8UBrUgQx3DjOS6woJOH4imX2vW598+3fR6OG+zqDYL5/PDqEuyqDs5pKAcaqtwrnC4WZswS4tzPgvOw1lYyohXcAIcaOvn61/5I/f/4hOkOR0RE7rH5eVrV9/FLT+5juLyAst+/vPYJgZ6hvnide+a1diTgVjrNjPRrn0+lbFRl6FlkgxYCVK9oE2GxSKs0UTdsjO1YP/7QiNlC4tpH4vvfHrBIwgBhPDQ7zdintI8Kuqwj+NW1tL+3za6XuvEpanYC9NZsKiE/kwVR2kG218/QNZQGRlVg9jcGp4eL3ZfkOKCLNLKM3FUZXPssXW89/iTIwSXKKEX1ILs39rGrmd2M+FxcdFN76Xd02d6bXUF1fQ19/HUA89RkJ/L5PAkucsL2XDe8Vz27ndGtJV/H3E+mF5fl4UmQG12IWNPtvPum0+N6z4fbjgcBabA285VK3CkuWwF2l9oo3VfL3lnLYjgtgRYmJ6P8uIg7//fi1lSEf3QiolU9Qe45aofcMYtZ9E22WN6LrOoWRl6Ny1EcqoKHk5gej2qNouhNheZI7W4C9oiyimJICGZrk/khxoxzejPLbC2uIZRJcC/9242HLcVwmTts3SdJhqJm8j5YimO8boejdDRHqJ6rFkw97UpZdx9x1/5zwtNnHPWSj54xQnkWOSCJsNd+fhjm/nrn1/jJ3dfQ7ZBfMDkhJu77vwH+1p7+fLXLqGuvhyv18+zTzfyqwef5bpbP0L9UQsMeo4N8Tt86rr7+eznz6dhuXlA0pHiqjXCfPPmCBxxrtojxdIUMHspzNyWwWCQL3z2V5z+oXdz9PqlUfv/8H//oKAkl/dcfrLleR/+9u953yUnsOKomlmMfnZINEowkQljeGiCjEwnmXHU/JwvMJtE4rU0hZUXrwA2ck0DEXVU5TJrEeeyKOB93aoG9pMRtjjBmD1Ir5jt+tMOnHkZ1L9nCYBhPmfjX0IsUe6CtohzivJ0eoILYXXqXcZi/68f+httz+zj0q+8j051IOxqfvLRF9i8cQuVp9ZQs2FB2D0r9vd3DPKHb2/kc3d8lNqGKtPf6LpfRs+fchDQ4J4B2p9v45iPH2d4/OGKw9nahLexxSlwJFqevnEvm3+6ifQrF9Ha2RvevqS+mqAvQPrGfm78v49FJXrL1s8vb/sTZ11yMm8FOwCioiPBuP6jUVCQUdUO+btM+A6ErU0gbHHqA4RkpiD9+GSYsQKd2rCC4okRxouNE/jlMeoh7pMZI4xVKoMRrLhurSqyyDhYCqOmaeze1Ul5RQHFxQfPskl3jeP1+rnymgf5yfcvp7oqdkqLmSJlpZAZHfPcMzt48L5/c9sPP4TNBt/91kYKi3L44i0XUlCQbdpXa0svn//C7/nSj66lerF1WokMPTPSR678Cbf/8ENUVEZfc6zI+yMF883ynJXFeSQITjgyhWf/jj66XutAOy8kTGSBs3JPJnlFuZx8yYmGx7b0dbHt4a0cd+Zqmhw9ltVRZEEYi7ZO1u71EatCeG56dm9YaE4cvQp7x+Nh1638V1yLUc6mGINRNG94XOUl9HcNUWpQHksen5Gw8rp9jI2EeIAX2HzYbGDDhs0G6RlO8vJCbj0ja80K0aXP4sPB9LK07e/HkWanurooYnu8gVuzxR9+/hTp6Q6uuHR97MYzhNF1vPZKE7/55X+YmPBy4+fO5bj1sfOiAZp2d/HVWx7izp9ejbogPitL/3v+64ktbN/Wxk3/76KotjMNoDvccEQJzvniqj3S3LMyEgkO0uN7397IMccuZsV574jY7vP6uecbD7PmpOWcesHxhtyfjdvbePC+Z/jRz66OGQ4fz9jnEjOdKEZHJvH7AxSX5Fpeo3wdfn+AzskgC/MU/Dn5QMg9HvrAxLgbj9dPcXEuDod9RuOKhbmaRIyeA/3/Wza3kr5sEV37+2hv6cHd1kWPS+Oks45hxbH12Gw2QyXEKi9Un/tpFGH7yEubWVJfzf7H9zA55GeyJj28Bi4gFKtAzfnYOx4PbxeeipvPuzDiPDIZuxysFN4meUTObFgfNU4wrsspyvKJ6/7Pf7fxpx88yjW3XknhVGCeuC93PP+YqRdFIKgFeenW51l34wlk5M8vARIvzGINDlekXLVHoLUpMNEzQcsTTWjnVUYkjd90ygVs2tzI9n/u4GNf+4Dp8Y/+7J84q7JoLBmN2K4PutEns0OkNXrWqtVR3KtiYpFdtRCyjN3bSqMmRLFNWKMw7caVrU4z1yxE5mWKSc014aFofJjtmoLdYbcs0VVXVsxAzzBDqo9lCyqi3KdC8Pi8fnIHB8gvyCJLIgiYC4GXLKXRynIJBoNs3bKPp/75JptfbyE/L4uahcUsrC2ltraENKeDp/+1jb1NXaw/fgnvfd96lq0I3fv+/jH2vrGH7S1DNO3uoqtriMV15fzvty4jMzOasEMej349P901zsOPbCKoBbny8hOSct1WSKbl9ubWfdz2nb9w072fpqg037CN1W/58ku7+d2vnuf/7v94lJJ3JAcH6TGXlmciKWazsjiPW7c0+NDm+8InjRfJvvi3i8UJib0U/3h8C6Mjk3zggydH3fOAGuBrV9/Fd3/7edP753b7+PhH7+an93yMwqKcWY37UCDee+X3qQwOjpObm0mR4jc9dnBgnIyMNLJzYj+/aROjDA5N4s/OpagoZ8ZWuxH066iJrqnKMPvtNU1j06t72fivHextbGPx8ho2vOdYjnnHctqGRoBoUnrVr/LWK03seWE33W392B128gqzqW2o5sSjKhitLKKkupi2l5t5+MF/cc3XL6e8tszQkhPQM/b85kf/JnPQj7tyBe7CA0BkFHbmmn5gulqQXOBd7g8iy3/JywhiHLGsJFnhE+cwy90EaN66j8fve4rln1nD0tKFYYsTpqkjrXI1dz60nSbXEBd97FTTNocLDnfL08rijIurdiZCK95j4i3CnIIxtr+5n/deGPpt9ZOr3WFn6cIibr74Vv73m5exctXCqOMzM53c+Lnz+P73/sZ3v//BuM87H4QmxO/mTnM6KCvPZ2TERZtXJS8vC33lw/FxN9iIS2imu8ZBUSgtyWVQS2NwYHzOckbldyCeFJR43pnu7mG+cOOvWL6imneeczyf/MYHwoFkEW5YyeIWfx2nOLjoslOoDbqx2WwR0bP1ZaE2gaXZnP6JU3nw63/g7KveRcGa0nCfZhOqv8dFsCzI0Vccxd77tpPetxt34fSvVFSbhXsk9F0uXi3coMIbIc4hC2gj96zwmOgFuZz3qYd55Z0QbNXplK+qZOKVIVpPsYdTsWRvkBX93bJLj6L1f59monucnMrD16o83IVmLLwtXLVwZLprA/4Ar97+Eifd8k62DUxH1srrKc0tnVyUfxS5tgzeeVHI9WW0FnXPNx6mpKGcwQXe8La6gurwWo4Mo5B+ATlSVa7zKe6/oN4TE59+DcsIIs3AKm/TiqxdH+W7qKSIyVEXZd5xih0BOktr8Hn9NDYd4Nij63h6R6OpK1fvthXo7xslLz+L9PQ0o8PmFfa19vHlz/2Kr3/5fI5ZvWBO3X6TE26+cfPvKC7K4fNfu4xcNZqJqLtnhG/d9gRuFUaGJzhtwxIcDjtbdnbzwI+vSKolb4Zk3gOv18+HLr+Lr/36c+TmT0fkxmsEvLWjndu/+1d+8dtPY7dPR8XPJhbicEW89I5zgQzbebNz1b68+a45GVgKsUPNzQrXjgxPcvMXfsOFF5/AuedPU+wZMdY0bm/jyX+8yRdvuRAzeL1+rr/mXr7+7ctZXFeW8JiTDauJIdFUAzMEAhrjY27c7lBeYGlZXkLBPvI4JtKyGBwcp6KiIO7jDwXe2tnBN77yB75z25U0LK8KPy9yrqYcVGMU+GPkNn6qcbvh2jeE1k+3PbGd/a/sp7iykPycTHrHxpgIuCEIvh4PgXcVceKGZbzR3sFbf9xFboad3kI7maOLACLcs0LZ0kdgy8qVSH0SwUJWOadmBB/y9liWpj5Y6gd3PYwy4MN/YgFABC9zPLR6e/++B03VWHbRipht5xuOFGvzbR8cZITDyQKd7J3gtYe2suioSsqPqSAYhO2/3MryS4+iLddneIxcUeLGU87m2buf48YfXguYp0J0tfVx1y2/4ZQvnEZaepphLU5RLswqKAdC9/fu5/MotT8bMWnI4xKTnhwoJCZD8V1AvzYUr7UpxqI/Ti6yrWka+7R09g8Oh++N3srWp7mIY2WMDE/iSLOTE4er91Bg86Zmfvjdv/DjOy5nYU0o1eRgWi4THd2Mj3sJBDT8gQABVSMQ0Fi8ZglOE0v9YC4JJPNeBINBPnLlT/nEbVdTVRtyU8djLYnr1TSNiz/0c/741y9GbJ+r8aYQDSuL07gMegrzCiOtw5SV5tOjeHntj2/y6gOvk3ZBDUVLiy21VyGwMnLS8U54TdsJVNWWceFHT6d5407qy6oi1ovEXysBBSEBU19WFVENRUAvNMVfEUmbOVIblcNpdZ5YEG1kISuEqLAQ9pPBASULu8M+na4gRwdbnEfvRsovyGJ8zI2mRdeLnGvEEjD/fW4nP/rB37n3rqvCQvNgIt01TnFRDotqi6mvK2X50gpWrqhi9dE1hkIz3TV+0NfRk3k+m83GcevqONDUmZB7UQhDRVHIctpheMi07XyJM3g7IuWqPURI5KHXNI1rP/sHPv+l91ryWVqtB3z0qp/yi99+KopJyAi33/pXaheV8v4PvCPcfr68pHL6Qqw2BwP6cQxpaTAyQlFRtqHLXcbBGucTj73Bxodf4Ef3fpx8ac0NCAf2mMGMKEIEDcmWud5DYeWy069R66NXI2pwYrwmri/svqS+mkuWr4vgRoZQapb+msQ5BYzK4wl3dTxkFeIeinX9R17aTPq/B6l8/zIcheYpOfK1Co5mga33bWbpBcvmfZDQkeKa1SPlqjXA4eSqBXD1T7L9l29y/OdPYuNrWwBriwwiw99f/MtWTiiu49yPvzsmrdten4Nf/+Cv7Nm2j4KqQvyL7JQcVUpDRW1UnU2jICGjwsV1BdWhMlFMT4IyjCZEAf36kBFjkBGMJmezoCY97d29L/wzYgKV6fHkSFO9NZHuGqdtLEBJydyRI8jnMoM3K5eR/Z3c9+DztLUP8bMfXmHI2XsolYz5imTdkysvvZPfP/I52mzT5PGJuGu/f9dTHLN6AWeeFnudM+W2TT5SwUHzDDMlNv/D719kbNTFdTecZdpWX0NTIBgM8pWbfs+7TlvJ2eeujeu8wWCQ5r09vPTkFna81cVPf3hFQuNmZAAKSkJ/IfR9DjFfhIDL7cPj8VNUGGndiQR//bZko6N9kJ/f+zStzb186Op3cebZawwjU81SwfTruzK5hVzaLNa6sp5Aw4g9yIidR07dEPSMmWv6DRUugaLaLO6/+pNRY9q4ezOXLF8XRfauH49QCIWSJJBISbinGreHy4epPpV/fuPf1Ny4xrS9maUpMNYxxp4/v8X6/zGmzYwXVopmsgyII9HqtLI4U2uc8xBmk+n7P/AOtrzRStMe8wlrER5DrdZms/G/334/v/31fxkbNZ+A9Mcsbajk+mtPYWBoIr7BQ0hQCmE5MhC9Xd6fRMy1RSPW3WKdJyvTiderHvS1zn2tfXz5S7/jq7c8xOnvXsVv/nAj7z2lPqF0jlhVWOJd/9VPpEYECLI3wmitvrmlk+NPX4q7oA33ttKIfTK7lPBQPN30Oq0jnbSOdIbX2oWbVnhBxDjktvL4hDfF7D0ysxivf+QXtI500twScjm/sW0fOQtml9ebV5OHzaEwvG94xn0YxSno989W6B2JQjMW3rauWoFENC69xpYIL2OyNDtX/yRb73+DtPdU0eYZiemuhcj1ohMCpRSn5/GFL14Z3hZPUv3Hr/gmwbMrWLckmkQBzKnvAO54/rGI5PTWkU4eeWlzBMWenF4g1+aUyy8JLlOzCikyjNavxHa9u1a4ZgVXqT5CGKajcGVY3Td/Xz8uZxb5FpU1ZkPWLVPU7W3p5af3Psf4uIePX30y7zghPnLyeDBbi3hOlZlElK8EvR2zve6/PPIqIyOTXPPxM2bcR7prnB1vdfKz+/7DvXddFbN9yl2bXKRctfMIyag/2dU5xO23/pXKqkI+/T/nJpT+MDHh4TOfeIBf/u7TcbUX47375/9h1cpqTn5HdP3PKCRqTc6xCzcW9Pc4GZN9MBiku2eUyor8uC2+RCe+dNc4L+7o5Ye3P8rNX7mItcfWRe2Pp0+9+1HmGDZK9ZFdt1a1Lq2ChIwUSTN3rSjWLiCXowMi8jjPbFjPHc8/ZhoQJJ9fT94O05R6iRQJFzmsInd0SX016qCH0Uf3U3zN8vA1CCSa0/n6Xa+y9MLlFCwqiNl2NtZfosr9kW5ppoKDTDATK3C2D0uyLM9gMEjvlm5a/tWM7cRiOjOmGVnMrFBh9W168FXOu+xk1m4IBR3EE7Dw5/8284d/Pcv4sdN8tkZlviDS2hTrRuK7njkIotmD9MFBIrFdfy16xJq0jTwEenej0bqdPqrUrEanft/khIfA0BB5C81dmvEKNyNh/uLLzdx1zzP8+L7rqM6ae3adeYWZuPoPstX52Rse5PobzuKooxfM6Hjxm2/f0cF9v3iB/7vTvFgDpCzOZCOVx2mCRISgEZvIXJ/TCjabjYrjqjj+8yeR0eSixm/uEtSH9q++fC2//OFfeXnTrrjPd+pRZWQOKVGFpY20doH68hLqCqp5uun1MDeoCIQoqs3i+NOXhggQLISmOA+EhKWRwJTHoBeY8jqW0b1v6euKmZsq2j3VuD2hnLzsnAwCOXm4u3uj9sWbp2jW7l+vtPHT+57jvp98kJKSvLfXpDkH6+NzgY9ccyq/+Pkzs+5n9dE1eL1+du/tmXVfPT0jfPNrf2Q4kZiFFKKQctUeJMzU/RfPhDg+7uYT197HV79xKc88tZ3rP3U2aWnWqRAd7QPc8sXf8ZN7PkaRSVUU/Zg/9LFf8LVbzqNhiUWl+9lMaofYZTtX6OsfJyvLSU52KJ8vVn6ngNlv//ST2/jdr5/n/jvfT15elmFprkQE6TO9ExHpOGBuecucv/o2+lQliCZbl6GvOqJXwoTCp8/hlJWrm8+7MCJv85LlIcXMqr6m0bnPbFjPGeXxVwfaT0bYpQ3TwUfCXQshz0/gkQOox+Rz4snLeeSlzaYRtLEwtHeQ/f9u5dhPRhb3TlQR797dw8av/pXyhnIqlpZxzPlryC0NPStGTGFGONJdtAIpV20cOBQPSzJzSXvf7GHPX3ZRdWINo/uGsV1QjS1NMSygK9ID9u84wD8eeIaHfvWJuMjJu7uG+eL//JrP//QTjKCGg35k8nUZYiKVt4tJTgT7wDT/qIDgJYVoN63e4pQrTRglsccK5JLX8iA+Vy0kRjbtnByjt2+MwoIQCXy8ws1IqLrdPj5w9QP87sFryMnOiIsQ4ojBbC3NGShms7Xk+/tG+dR1P+eXv/sU2TmZsQ8wgPhtr/7Er/jqTedRX1dq2d6TmcPuXZ08++9G9rf2MTrqQlUDAAwNTnDO+cfy2itNnH/BOp5+chtFxTlc/bHTWbI09nrr2wmzCg5ad2x9cPOL3w3//7ZyCSURiUxsM7EaILTuabPZeOqfb/LXja/xw7s+Sla2NWvJk//YyrPP7OB7378qilXIaMw7d3XxvR/8k/t++kGys3R9J8OFdoRanYGARm/fGKUluaSl2Q1zOo2gfwZ++cCz2Gw2PnrtaUD8RQKs2ugDXSCazEImfRf7jQJujKKbZSVG5FWKfEcBmZwd4lOshPUmjhHWptnY5W0C8QQCyRBMS3I+q7CyjZiPLtuwjo6X2xlqGmT1R4+J+zxGGNwzwIH/trH2uuPC2/T3e8vfttKyaR8ltcXUHb+YkkUlZOSkY5/yQO19qRnXiIvqo6v5z33/5biLjyWrIIs3/rqFopoiTvzA8YC5Uv92sTYhyXmcci6bVV7b20IDtsBsrl9/bLx9iejNs845hiuueic33vBgqMakBc4+dy1lZfk8/5+34jrnyhVVXPuRd/Klr2wMa7FJxWGyfpUo7HaFgoIsxidCk/RMng+fT+Wfj2/h8ivfEVcf8Z5DCI6W3oFw/iNMC0mzteGwJT51jN7Np598W0c6WVtRGfY6CEGjF5ryPr3QdBe0hV23IgfxplMu4KZTLqC+rCoibUjmWzZay64rqE6obnC4kkxfV7j+qJHQhJCHRwj2mncswDfupX9H9Fp3IiheVoKrfzJi/Hrs27yfc790Nqdd/y5q1y4kuzALe5odz4SXphf3svelZsYHJiipLeaCr53Pjid3ogU0TrnmnYz2jEb0Led+JiPf80hCylU7DzBX9H8Du/pp/nsTaZcsQMk2dsVesnwd7ds76NrVxde+87G4J5I//P5FXtvRxdJLjmbZgoURLlmZLQaIoqsTaOnr4vYnHg1PhIGa8wGwdzwOEOYfFZaJvgCwbGmI9SWzep0QHzG8GJdROsZZq1ZHlNSS75W8vqiH2B4MBuntG6OiPD9inxn0fW18dAvtncP8zw0zzw08rHGIPBrJ8LLNxmUrPwfv//D9/Ok315m2/f2fNpGWn8tlZy2nubWf557fw8uvtmB3KJx80hJOOnMtixZPlw3828bXsNlsLFtRzd82vsYtX7048YubZ0iW0WbLviJ5rtqZ4nB18cZLzp1MCzuZ9+rNLfu4847H+MFdH6VMmrBljI5M8rUv/4Gf3BMqOxbvtTz6xDYe+uNrfOlzZ7NusXlUb9w4Qt20Mnp6RykvyzPN7dQH+sj48Q/+zrHr6jnl1KPCbRJBPM/VM70TEdYkhFyRnzj5nChWIb0iJGBW71K4agWMAoJgOodz07N7gVBQ0MTRqwDI2dGIu6CN6688JTwmobTJ+aViHEZBQrICFC+EtWmUsylfi1VeZjJcti9/9wVOuuWd2BSboQU41j/Oo9/8Oxl5GRTVFLLo2FoWrK7BmRXNUwzQ9uYB+lv6KVtSRu/ePtZfepxhu7cjUsFB8xxzSThfV1DN1u1vsfN32znm48eyJzAW1eaS5evY+NW/ct+jX094QhnoH+O27/wFZ2kh/ndks7R0YVT0pQxRUUNMaGLS+8Z3Xw6zCAER0ZNL6qujgpzMktfl6w6fU3I9yt/PWrU6IjJShmxlCmvZ6N480xsK6zeKyDQSbEPDk2RmpIUJ1xMJELr1+//g9FOWc9IJdRZHHMFIlht/FgrabJXa//nUg1x82Ulh5SdeiOfgmk/+mjtvu5SCfHNF9UD7EDXVBXFVQtqzt5c/bnydtWsWMjnp5YpL11u213tV5pNBlOzlQSuL822dx3mkQwiPtauP4rzPns2bP9+C2h+55ikEUkZOBmMzyO0qKc3jB3d9lKG+UVY5ayP4QI0CSETwySMvbaalr4utPd1s3L2ZVRc7KarNInNNfzj4Q+YnXVJfHdburXJH5esWME2tmFrTM4K8XiaEphHB9xnlOZxRnmNJ/i0jIyMNj1eNqy2EJibx8fsCZGQ44j42BRPMQgCbxXjE+gh87Vvv52c//gejo5MR/cb7/OTlZjA8bB23sHBBUVxCE6C8LJe3dnfT0TkcVZTACEbxF4eidqrRGA4mYr6FZelOPlM/N2HKB0NbOTyClKLvr9G90a+rCcR1jfWVXFCQy2P/2Mb/fvT86P3HLcL3ZiPpJy6Ja8RhjAwQCGi42rv52GI7Ntui6X2BfihOC/0VKA6ttX7mw5eG/m44aXrfBubQXRuE3MrQ33jh6o/4dxnm99lqn4yMdAdjY9MTXyLVUlyaDVte/owjciF6gpZLpOkroOi9BnoXrhnMXLVC4REuTrO/m57dS6Dm/Ii1bj1EmtJNp1wQpagZpRaJMXzi5HOAxNKJBERErcyAJZQ5EdFrhtaRaRd15qmVvP+Gu1n7icRzOnd4J/jmpi0cF1iV8LFmKD1tGQ/89hXe84Wz2NNirZRaYzbHHl5IuWrnGZLhtjWLfvNOenn6J8/gvWg6OEBMVufYlqKNuFnz3mMTSgQH+PtrB/jzxueofO80AbxMvydPZnoKPiBiEtr07N4w2btY2yq1PxsOIJIJ4AX0FINyGSkBqwlfnnj1uZpy+oFw6+prd4q2AkaBQzJ6+8YoLMzCmRbSW+N1137hy49ww8dPjZnHd0RirqKtD9G6+k1f3cg7Tl/NOecfa1oKUEB+fr71vcc556yjWX/coqSOJxDQUBRbQpV0EkEyjaSDZQxZuWoPqcWpx7yuxHDQUJnQfUj0mt8Mwu/Oe2/U9q7uEX74k6c598q1EG+fU5PZjj8/x/875yhW1xswCumsznPrF0V+B3409ReADScZTGYN8Y0nAsLClP43Q7hd0NDKXJYLuPpZVl8Z0UZs1yOW9VmQn8noqJvSksTIC7xBBS03vmdDn6epF+wyjIJ+xHb995hlxwzc4nJAkJHCI3I2h9pcEUqTTMUIIcvzsg3rIvJBzdavrVBfVpWwciju4S0vPGdIyBErVUOvEPvPruLWHzzGk8FeMgqs3bRy340TbiY7Bni1wDo/e/7hyLJG59UaZyI5ovL2Q+1jTzYS4TFNFior8jnQMYTPH+f625TQDAQ03trbx6plZTEOSEEgPT0NTQvGf6+nkJ9px9M3aNlGrIfKkNdnzdbS5DzHlt6BsKtWdt8KiO/yNtGHDCEsBMew8G7oPQRCEAmhKSDnbwqIVCORt2kUhCbnoopxzNSTI+dv3t/YFPaOzBZpWWksv/QoGn/9JlZeP71AttkgqCWw3BADs7k3b2fEtDj7vD5+Oiu/dzJgdv5DPa65Rrchf6RV7Umj/TL6CPLpF18hLTMtKsimLX2M7/1tB1d85MzwNtO1oKnJ2e32oTkz+Em/D8WuRIzHKo9SnvBEZO3Ndz8MTHOS6hPf5fJR+vUyGSKvUz8GfV6p+A6hoCURDKTna5UjayMKORtQ8D3TOxEOFrJyvRXkZzI87KK0JCfuQI78/EyGYgRwmSlTwgo2soaX5RJpdQvkRlrY4bau/si/Ee1lVEb8/dFxM+BpNXLRFi+aXjfXr6FHtEubbi8j0A9d0jEW7lr5fi2rr+QzN34i9pgNYeC1Ow6+1fE46nNDfOZz55KXF7mWa/Rbbh/x8LmTllJZUTDDccQxrkMAM7areNfz5wI3Wuw7aHmcKcwMya4V+cFrH+Q3P7/acLIeG3dz/Y2/56FfXGu91qGbzO5/eDOFeZlcdt7KWY3NEEdwbufEhIexcQ+ZmU7ycjOw260F6AO/eoHi4lwueu8xUfvM3PuyAI/log1vNwgC0luXch/69kLhMKp5KacVydj07F6OP31puPammav25vMuDI2nrIo7nn8swl0rzq1XJOU8zutWxef219+re1/4Z7iQuoBZ+pMeVoptUAuy6z+72f6PHSzdUE/uhmIayqItbdH2T7ds5PI7Lo3rGlKYHVJ5nG8TWJXPgtCL99dvPMoxn5/O1dLzazo3jfKpj17C+RecFHGsVRSi2+3jkx+7j/e+bz3HXvount7RaOj+kdmEwDjqUax1GUG48sRal1VaitHak2nqiSQUjNb79FUw9EFEelgFCgkIBSgYDDLp8jE+7iHd6SAvLwOHw7iyzWNPbGP/gUFu/OTppuc+onCw6RcPoZLm9fm594Hn6Rvzcest5xi22fFWJ7956FXu+M4lMzqHpmns2z9IWpqdkpIcsjKNSRFSCCGVx/k2QSw+ybG+MfLK8gDjXMgl9dVUn1PPi395NbzOJSDWeozWyDIzndz/y0/S3TnEDz/xM9YW18Q1Xr0gu++h5xlqc3H9ladw/ZWnGKYhQIi/NFZha1ErNJ71m/Ca3pQ7Vi9I46Xqg2ihKf81gs1mIyc7ncqKfDIy0xgYnGBgcAKPxx/V9szTV/Dsf3fj8yW2NnpY4m0kNAHSnWnc+MnT2d3YxuioseL4yqZWjl+3eMbn+O0fXuNLX93IPQ/+l+s+/Vs0TZtxX293pFy1ycDIwCF/8eLBM//Zzb62AT72kXdatrvhcw/xlS+dS3VVgXEDi0ltZ1Mft/7sed531nIuO29lcsLbD4N7m0z4fCoTE148Xj+ZmaE6nqK+6v/d/x9yygr5yPvWxOWeFRAMR2ZRsvHmaMYDmfhcX/FEbJchR9rqvQ165en+qz8ZMV49n7BeUYqn+omVYiPnberdywLxRtbGg8Z/7cAz4TWkvnvs1ic47bpTwvUzE8WTdz7Nho+cRE5xDq8+vImiBYU0vHPpbId8xCLlqk0BgM0b30Ats1G2KpQ2YsYTWuPLonhU4T0fPSOi2oQeZhOS36dy/71P88aOLo664hgG0qZp/szyO+WJT6QbrK2o5L6Hno/o2yhASMBokpYh1roiIjDjSLGQYdbeKJ8zERiRxAeDQdwePxMTXlQ1gM1mo69/nLvufoZf3PORGZ3nsMChqJAzT5Qzj8fHZR/6OReev4aldaU0LK1AGx3k1ntfJdcJt99+5Yz7vvKaB/j9g6H4hYkJD9fe8Bt+++A14XziFCIxL0jej2gcJhbnl7/xVy46/5iY7h5VDfCBqx/g4V9+zHS9LZ7J7a29fXzth8/y4B3voyAvPkoxUxwG93cuIYTqA396g7z8LC686PiEjhcWJ0Rbl3oFRq9YGEHPMiS+Cx5iwFKJkfeLgCA5HUVfGcdofdyq/mc8QUDx0NyJoCCIDmiSry2ZJbeGu0bo3t3NcMcIQx3D+D0+1l+6jgWr41sCMYLqVXni9n9y4f9O53C/+fg2FLud1eccnYxhH3GwsjhTqsZsIATmYTKp3/Cxd/GVbz3KeW2DvP/i40zdqA6HnVUrq9mzt5eVK2buvjtqaRmf/sgJ/OzXr/HVz7xrxv0Ah41yMldId43jzsjmyX++yYO/+VTcxwnmI4A7nn8MgJtOuQCIDM4yIw24/pFfsLai0rA6CkQGUwkeYpE+JacFxYI+hxNCAlWUibOi/ZNTts5sWD8l7Gdm+eshhPvBEpoAhVUFFJotk8wQQx3DFC0ojNi26uyj+cv//o3lpy7DmWlcdjAFY8S0OJeuqQ/e+LvPHKThpDDXaB5op//JTka6R5k4PR8lK1J3EutNK9szuPjys1mwzDotIZZrMhgMcu31v6DhoqNZf+zKCEtBTKqCgk+GvlannJ6gX/eSJzWjyVo/8UIkvZ7MkCP+F23FZKw/Vt53x/OPRaRZXLJ83YxKVwmYpRw9/9JeNm3exxc/e9aM+j0s8DZ200ZAvg9JGN+/nt7JS682843/995Q2tNU/4++1El7xxCfvv60WZ/jSEPKVXu4Qj+JJPEFf/X1Vn7003/zg+9eyoKaoqj937rtcS6/ZD3LlhrQ6BmNzQJN+wa584GXuffWaKq/hDEfJ7mDAG9WLjd+8kG+9oUzqakqDG+LhWd6J3i66fWw5STyJWHaYhJrv3I6kxFZhIDcVl/rEjAk7YDo1CcBvXIkFKP7r/4k1/3yHi7bsC5CudKPVf6eiMISK69VnMcsMGiuLM65gBbQePPx7bRtbeNdHzuFoprQMxTUgvzlf//G+V8+l/Tsw43GL/mQvRnnVVw+c8G5dE198K6nvgfE5oBM4fBB60gnE93jbP/lmzjOryatbLoqfXNLJyWNfi7+0BmsW7sygpjdiC0nHtzyzb9iX5xLYLE9KrfSas1N/K9nFRKTPxAmhjdLTgdM2ZesWI6MBIJcwFgORtJzsCZidQoLUy5irUd7xxC33fkk/3fnB2L2d9jhUFiZMuaLMiYvR8zR0sS+tgG+9b3Hueyi4zj37FCFlTt/+jSnbFjKumMXJf18hzOSlscpOCCTFbaewqFDXUE1q1csZ+31x6E+3omvc7o+oBBATS/s5b/Pvk51WkmEEFmEJ2E35M2fOZO9/9jF1evOiBBgZrUyxb7rfnkPrSOdYStEuGubWzrDH1mIGgWiiHxOWTjGIouQIbddW1HJZRvWhfs1g/yOxFtr0Yqj+KFHXucDl1kXGU5hBpgPQlMoDvJY5mhci2tLuO8nH+RXv3+FiYnQO7ygyMmBjuE5Od+RipSrdiY4wgJV+gfG+exNf+Rzn3p3uFzR0PAkr7+xn7f2dLN7Tw+aFuSeH18ZHWWbgLXw7xdb+NPjO/npt84l3ZmEuLQj6Dewgt8f4IPXPsjDv/pYmCrRyk0rBLVZ7Ugwj3TVKxd6y9ysvbxf5G+K7xBJtSe+C2o9IOxFaG7pjHDN6vM0ZYjxifXqma4pw/Q9EwFOcmSwzId8OLlnrbD35WYG9g1w0lUn0rmzi/btHZz4gcQitQ83WHm1jJA0V20iSLl1Dy/s7tjH1ns3ox1fREZDftRkMfbCAEVZuXzsf94HzDxf8cl/bOWRx7Zy2Vcu5rn9W8PbzVyltz/xaIRbVBQ5ztnRGLEepodcGFkPPceoGZeolbDQCwqzc4h1N4h9z8yszW2N7Tzx5A7+3xeNqdgOa6TctIcEwWCQj1z/K2775kUoE8Pc8eBm7rztskM9rHmFVHBQCnFh0uXl+s/8jq/cdC4rlkVaJIGAxkev/xXf/cb7poOJZjjpPfb0bp56oYU7v/YenGkmeaLx4m0w8T3w6xepXVDEKeefEN5mVvxYpJ+IwBYroQ7TSoCwEo3WgmOllOgr1cjrvWYQAUGBmvMBwooQROZw6oOPRDWdrT3ds45eFjC7Z7KVfKRYmjK6d/ew9bE3KVlUTG9zP+/9f+ce6iHNGslcRrSyOFNctSmEkZ2Vzg++eylfv/Xv9A9EWj92u8JXvnQu37rtCYLD/bOyFC44czmnv2MxX7r1SfxqYHaDPtQWy0HA5i1tHHdMbdgilddMrdZPrYSm4PLVIx4hKY4T32VBGa/QzBypDbtp81Y2hL0Hx5++lCX11dx0ygWGEbstfV1hIZ8MoSnwdNPrlkIzFg/04YjK5RUsWF1DyaISzv3S2Yd6OLPCwY69mTNXbTxIuXPnJ3qb+3j2V/8l7fJabGnTutXaikp6nmjn0pOO4vwLZ1BbUYc//+kV/vNaK1nvrQjX8jRiiBFu2427N9Pc0ol3+ScY29lEzo7GcLvMNf1ctmFd3IWGZTd0LIYbM8hrefI2PcwsI8EpK/4auWo1TeOqa3/Bw7/8WEJjm9eYz8rO28CDkUJ8sHLVxozQyLfDubnJqzgegajCtynMC9RX8kRQ4T8vNnHHty/GNjoY3uX6eDUf+fxfOHtlLjlZsytLdNU7K2Cgj21/buZ7N797uh6lXJhYFCouTuMzG06CDQADcHwRoGMjKiiZWbHkgwGpGLSAVXFpgabmPpbWl4X/j5W7uZ+MMO2dTLJuFm0MkVZoPMqDUQqOoMyzgnDjureVRu0TFufN510YZTnoa2x+4uTQWm+yrM37G5sAYW3vD+dtHonu2SMFhzqz45BanAIpy3N+4rU/bmI04GJr/mg4BaOuoJrfPfIUiz25/PqO5BCN3/Wrl9ixrZWii6qx2WwRRPAQcqPJk9cXHxuPsDbF2piIyjSCzIUq/zWKNJWtRrNt8VipQhAJGriZBAc99KdNZGenc+F5ayyPPWwwn61NM6Ss0LclUvU4U5gRjr9sPa69Y9hckeuQGUcX0t7cyYutI0k5z2c/uoEFC0pxbxqNEpotfV0hwVNWRetIJ60jndg7Ho/qo6g2KxycIoShzH0qC0sZsqB95KXNpkJTLyDXVlTGtM7E2hiEUkOs1iPNImr7+sepqsi3PM9hg8NRaMLMxj0yYPx5u+MIuQ+H1lUrYOWyPcJyJuc1DB7o0nc3kOF0cFH9ovC2z7zzHTSW1vPQXX/ijJvPTMqpv37JEq7+4l+58F2LWFhdMO2uFa5a4NypMfzoa4sM+5i/z8nU+2Pgro2F0TE3+fnTrE5WNThFZCjEDvIRiBV1q6fJE0qJXNEEiKhqIv4X35fUV7Pp2b2W4xDW/yXL1xm6amVu4WS5aIVbW5Swk8vZRblnB83JLhJCsvo53DGL+3Co3bQQh+AcDcA/xpNQjDgGLN21qYftkGF0SRXP/OY/3JU7wiXLp70WbR0TZNUtxls184r0enzk1mv44ncfYcP/nBoOFtK7a2XaO4gufAyEmYSMylWB8eQuw6xgsR5W5bLkiVim6DMqrCxqcYrvMkZH3eTnZUa0NcIyxlmWi6SEHuL4Ab3Cu0FHJ2eFgE7BEMpTV+KKhxWWAcvE2vkU5O+WmLdK2mGEGRtFc2zIxYH5YXHCzAOFUhbp7GE1kRUXs2MiwEMnnYiihBSo/762n5f++gZ3fPks0rv2JW0YZ+XAgdUl8OwOPnbFcaGNOmuT4kVQv2gqSGgKRr//yEBkG7N2c4zP1OuI7U2sTjOBODrmCgtOq8AgUW9TZgq6+bwLDckdrMjXzRArzURvfQplRSgxeotTVm7knE0Bfe7mbJmBYDqKWf5fsCuJc+vX000xS2U+GAyielWCwSAEQ/8HtSDBYBAtEMQz4cE94sI16sY96sY16sY76aV0cQkL1iwgrzT6WTBjWJrXSOA+zgdLU+Dwr8dZUJISnnOM5fWl7G7pp6GuhJ/+8lUOdI3ywO0XkjMH1RSuvmwt1970KO86YRFLFxfHd5D4/eW/esjbD6NnxetVychIi0mxV1+eEVHdQwRzmSHeCFqIFprCercKxoIQucErTXBSw56oItWCWk9fbxOivU/JotOTv4v+6stLqC+frjV6MCJoe5p6efWh1wCwOx3YFLDZbKGPEvpk5GaQmZdJVkEm2cXZlNaV4sx00tfSx8u/fYWJgQlK60tZuGYB1SurWFG7KHQ9BsLT6N7qy+ylkBjmRVStFcxIwA/mDz7Xms58f3gPbGtn88ObcaancdZFJ3HeB081LYKtx0wmvANt/dz8lUdYcO0ylpQsACJ/A2EVbNwdsqz0lUkAdqa9l7GdTZTanzV05+phVePTDCK6VriwjUpdyRDRtaL+p9m9ka3PD177IL978NqYY5lXMFNc5H1mCs58xwyUru6eUba8eYAtbx5gd1MPFeV5fPGzZ1FZkY83K9fU22CFQEDjrd3dvPRqM6+90kTQnsal7zuW889ZnXBfKRjj7Um5Z/XyzuW5DqI1M9OXzhQWE5lfDTDp8lOQF1+lj9nioUe3MzDk4sarTzRuIN/nmUzAh4nVKQSnNyvXkmZP4N4X/hmxT8+7q6+9GctNa1Q302jNWK+cFNVm4d5WysTRqzipYU94uz7wRiZqByKCm85sWM8Z5TmW4zNDvBVpBGRrPRmKbP++Ad78+zZGe0bJKcmhclkFlcsrKVlUzNLKmtjjiTEGvTLvcXn5+z1PoigKF376PTjSIp2JmqbR3dpL85Z9dLX2ctL5x7Ho6IWJXxiRpCRGZQHlNlZ9GF1HPOTrBwuHhOQ9hcRh9jDNpJ9kW+XymOSanPFgJlZnMBjk09f/nIpzjqJ8SVnUGASebno9/F0krougINmVaDXpi/2JWp2yq9Oomoee81VsN2MRgsh75Rgf5aOf+BW//fk1luM4JLByi8eLw9HqjKFwtbT289P7ngPgho+/i4Yl5clXcC3w579t4fF/buf2b1/MxISXV19v5bWXd9M36KJhcTEnrK1h8YICfvXIm3h8Kp/73Lksrk2CEhnv7zhThTXR5yQJivGsmINSOHhIlqYl+kmkPyshG6UVTrka5xI2m42vfev9fOl/fk3JTWdh15HB15eXhEtA1RVUc/sTjwLTFlJRbVZYsBlZTbNFrPVBkXcqC1Rxj4Vw1BewbukdgCkXbrprnF7VERFRO+8wU6EXb3TtfIPFZDw84uL7P36KkVEXn77+NI5aXok3K5c9ZLDM1Y/X6+eXv3uZwaFJvF4Vt8eP1+PH7fHj8frxePx87ZbzWb1ydmusl77vWJYtLecLX36EBQuKOHF9Hf/v06dQoQsmuuP/ncWu5n5u/e6jLF1ew6euO9U8ZsEqhiTR39Csvb7/2T4bc1wUPPmuWn0AxuHycsTSfuPVjqUfyCzF4GBCDiqJaxzz7Pf6zcY3sSs2rrrIgDlH/2IkY+xz+LIliv1tg9z7u1f55q1XRGyXf0fhwn2qcTtnrVod5XKUXaByag9ErsWauWxlsnMIRccauWYhmmRCcAeLvzefdyEbd2/mplMuCI9BjqQV45wteXsiblr5fs0EwWCQrc828vwjr3DOtWewbP2SqDYel5dff/2PrDp5BQuXV5OWnoYzI4209DQcaXYevftJsvMyOffj7w7XWz1YCAaDbPvPTv7zx5c45bKTWHv6qrjjF450pFy1KcwZ4rU8ZzoRer1+rv7gz/jQDz+KMz0tar9IJbjj+ce4ZPm6iIAhEVkq8j6N3LFGEz3EV89TXj+UXbFGln5LXxfXrWoI/x9LifFm5bLr1bd48pm3uPlzh6ByRTKVEQErRWSeKWyG0I1fVQP8z81/oqaqkOu/cAFZWSGLTf5tR0ZdfOaLf+BjH34n7zq5IeL4YDDIDZ97mBPWLeKjH3zHjIakj7aOqRyb3OdJt497fvs6u5r7ueWTJ8cf0X44IUFFOEW5l8KcYbYaeyykp6dx4UXHM/jc9rC7U3YrC8JvARHhaiTwYpGQy5VVhKUVT5ksAf26pqxUJOqGT3eN09zaT92iObZ69XRw+u/JQEHJIbfe5wJPPfMWyxsquOUL7wkLTRl9/eN88n8e4rMfOi5KaAqcsmEpTzzZyAO/fpG+/nEmJjz4fFP5nXFCWNgykYYpTH6L7EwnX7xuA1/59Lv4/n0vcdvdLzAx6Y17DIcFkkj3N3tX7eGgKSYbM5gE9mSVhq0u4Vr7TP0csLvofw8D1zFYaKbz8Pf0+VSu+sKj/Ob+q8nMjLMiy6G8jiQJiW989+9cccl6li+rsGwn/66CCAEIp77Ikar6PEWjYtfxKguxmJfkyizivILSzozsQLbKZ4p4XLXJcNH+342/4OrvfIDs/Oh7MNg1zG+//QiX/M/5LFhmrTSpfpU3nt7OW6/sIeAPoPoDBNSAqfB0pqfxnmtOZ+GK2NG5M0EwGGT7f9/iuT+8yIb3Hc9xZ6056C7k+YCUqzaFOUU87trZsr786sHnGMjMIG9VyIWkD4ffuHtzVD4lRHOtGkHvljVqp7dg5eAgWRgZRR+LICb92l0st9oHr32QX977UdJ0gVEJ4VArQrNRIg712PWQruW/LzTx/Et7+dot5wEwjJNnH32Vru4RurpHaW7t4/YvnU7dwkLLfmaCzq4Rbr/zX+Rn2Hjvh9/N0oZKCvEBSUpRm7rvbo+fnz/8Bpsbu/jidRtYvbx8dv3ON8T4HWaVx2mz2f4FHHl+lhRSSCGFFFIwx0AwGHyP0Y6YgjOFFFJIIYUUUpjG289xnUIKKaSQQgqzQEpwppBCCimkkEICSAnOFFJIIYUUUkgAKcGZQgoppJBCCgkgJThTSCGFFFJIIQGkBGcKKaSQQgopJICU4EwhhRRSSCGFBJASnCmkkEIKKaSQAFKCM4UUUkghhRQSQEpwppBCCimkkEICSAnOFFJIIYUUUkgAKcGZQgoppJBCCgkgJThTSCGFFFJIIQGkBGcKKaSQQgopJICU4EwhhRRSSCGFBJASnCmkkEIKKaSQAFKCM4UUUkghhRQSQEpwppBCCimkkEICcMy2A5vNlgZkJ2EsKaSQQgoppHAwMBoMBoMzPTgewWna+fj4OAvJpdiebtlBuiMj9kCcmTHbaNnW50lzxO7DnpFm3SDPHrMPcq1vm1/TYnbh9QVitvHHaOPzqrHP47Fu43X7Y/cx7ovZZsId4zyKLWYfZDstdwcyrH9/gLSsLMv96Zmxn8X02E1Ij/GYZFlfCgAOh/Vz0uOeiNnHpMsds4066bLcb5+YjNmHluax3J+WEdt5lZlp/fvlOmP/vpmOONrE6CfTGWMOADKw/m2UQOx3DzX2u4Xf+r7iHY3dhy/GfOOJ/e4FJ6znGtUVe77yemM2waVajyX20wyeGGLLE8ORqqERwEYwGMRmsxyP6U5bHELXsIGmaay1l7OWUj6cu8yyg5r8BbHOQW7FkphtfCurLfcX5y+O2UdObal1g+PjmDXXFFjuHvDGFjTdPeMx2/T3W09ofV1jMfvoPDBiub+jaShmHz1bu2O22bbf+gXvSIutkARXllvudy+sidlHUUOMZ3Hpwph9VMR+XFmQa71/aYzHDKCw0HrS/H1rY8w+Gve0xmwztrPJcn/OjtjncRe0We4vqrVWWACW1Fu/v2srKmP2UVdg3QdAfVmV9f7ykph9LML6t0l3xX5/GRmI2STYb31f6X419nm6reeJYHtsLS643fp6RvZYK18AHR2xDbjmEeuxtMTsAQ6Qb7m/jdjX+yI7ceKkN9hr1cxUcM54jfMCez0lZHAsZTPtIoUUUkghhRQOOsopZ5xxFtpiK9JGmJHgvN62ihZGOZ+6GZ00hRRSSCGFFA4VbNioppo++lhii+3t1CNhwflV2/E8wX4+zArs5pZsCimkkEIKKcxbOHBQQQVddLHMZr3Eo0dCgnN8fJzfsJurWEY2sRfYU0ghhRRSSGG+IpNM8smnhx4SCbKNW3BqmsY78+o4jRqqyZnRIFNIIYUUUkhhPqGAAhQUKpSKuI+JW3BeYK+nmAyOSwUDpZBCCimkcAQh0WChuASnCAZ6byoYKIUUUkghhSMMiQYLxRScqWCgFFJIIYUUjnQkEixkScFgs9kyF5DLlalgoBRSSCGFFI5wiGChXiyJEWJanGkBNLJmT2mbQgoppJBCCvMeDhyoWFMqWgrOYDA4djkN/Jpd+IjNVZhCCimkkEIKhyt8+OinnyqsaRtjrnHeGdzCCVTwR5oImvO9p5BCCimkkMJhiwABuuiikkqagtb8znFF1f4huAcndv5LZ1IGmEIKKaSQQgrzBUGCdNNNEUXsC+6L2f7/t3fuMXZVVRz+fkw70wd9t+DwkKIWBA0CfQCKtDamAtFC5ZEYJBgMETSViAQx+ChBCe9GIAFRG4iAEgSk+IctYMtDhFL6ri1UdJBHaemTzkxpS2f5x97XOb3MnHNvO489nfUlN+ecvdfZ53fPPfeus/fZd62K/8c5b0cDy9jAGjbvk0DHcRzHSYmNbKSWWt62yjqHFTvO2tpanntnFY/xOpsKUu44juM4Tk+gkUa2s511u/Jn0mapKlZtfX095zHGJws5juM4PZ7sZKA+fSr/90jV2VFm2mKfLOQ4juP0aKqZDFTOXuXj9MlCjuM4Tk+l2slA5eyV4wSfLOQ4juP0TKqdDFSOKshB1q7B2rVrGXfIGE7oOzK3gYG1xWnI+vYfXGjTMmxgbn1d7aDi4wzql28wqoJx7hG1udUf7C5+/tvcvKvQ5oMP8qNXbG/eWdhGU2O+TdPWHYVtNG9oLrTZtK3gOAcUxzm24f1z63cPzP/8AeqGDs2tHzi4+FocUEHWvIEFESiHFFxmAHV1+dfJmm2bCtvYtOX9Qptdm7fm1vfdVHycD+sac+vrDiz+3gwZnP/5jRgwoLCNwbXFNoP65x9ncP/iD2dQQeSYmg+Lv7/sLJ5EadvzzyvN64uPU/Rb0lRT3MbG/DZ2bM0/HwBNTcWP7t7fma+l+GqGRvJ/fxsL+oMttLCZZrbs2lL0XLPdH61KHGcukg4GpgOP7VNDXcc0XGtn0FO09hSd4Fo7C9faOfQkraeY2Z17u/M+O04ASQvNbNw+N9QFuNbOoado7Sk6wbV2Fq61c+hNWvf6GafjOI7j9EbccTqO4zhOFXSU47yng9rpClxr59BTtPYUneBaOwvX2jn0Gq0d8ozTcRzHcXoLPlTrOI7jOFVQ6DglHS5pnqRVklZKujyW3yxptaRlkh6TNDSWT5C0JL6WSprWye+hEq3XRZ1LJM2VdEiqWjP1V0oySSNT1SpphqS3M7rOTFVrrJsu6dVYflOqWiU9lNHUIGlJd2rN0Xm8pBejnoWSJnSnzgKtn5P0D0nLJT0haXACWvtJWhCPu1LStbF8uKQnJa2Jy2EJaz0vbrdIGpexT1Frx/ksM8t9AfXAiXF9EPAacCwwBegTy28EbozrAzLl9cD60nZnv3K0Ds7YfB+4O1WtcftwYA7wBjAyVa3ADODKNuxT1Pol4CmgLtYdlKrWMptbgZ91p9acczoXOCOWnwnMT/WcAi8DE2P5xcB1CWgVcGBc7wu8BJwM3ARcHcuvJo3f1va0HgMcDcwHxmXsU9TaYT6rsMdpZmvNbFFc3wasAg41s7lmVgon8SJwWLRpzpT3IyfyUEeTozUbkGJgSVOKWmP1TOCqrJ6EtbZln6LWy4AbzGxHrFufsFYAJAk4H/hDd2rN0WlAKeTXEOCd7tRZoPVo4Nlo9iRwTgJazcxKoYP6xpcBZwH3xfL7gLNT1Wpmq8zs1TbsU9TacT6rSk8+GvgvmR5cLH8C+GZm+yRgJdAITOuKu4wircAvgTeBFcCoVLUCU4FfxfIGYo8zUa0zosZlwCxgWMJalwDXEu4+nwHGp6o1U3YasLDMrlu1lp3TY+L6m8DbwBGp6GxD6wvAWbH8CmBbClqBmnhtNtLaA9pSZrM5Va2Zuvlkepwpa431++SzqhFyIPAK8PWy8msIYZbUxj7HAAuAfl180trUGut+DFybolbCkMFLwJBY10DGcaakNW4fHC/QAwg3JrMS1roCuJ0wjDMB+E/5NZuK1kz5XcAP29mny7W2cU5vB86J6+cDT6Wgsx2tnyYMLb8C/BzYmIrWeOyhwDzgs+Q4ztS0ZsrmU+Y4E9a6zz6rolm1kvoCjwAPmNmjmfKLgK8CF1g8ahYzWwU0xYuhS2hPa4YHicM0WRLR+kngSGCppAbCUMIiSR9LUCtmts7MdptZC/AbgkPag1S0Am8Bj1pgAdAC7JGdICGtSOpDuJl6qK39ulprOzovAkrrD5Pw529mq81sipmNJQx9v56C1syxtxCcz+nAOkn1AHH5kUjvCWmtxD4ZrR3lsyqZVSvgd8AqM7stU3468CNgqpk1Z8qPjF96JB1BeLbQUHScjiBH65iM2VRgdYpazWy5mR1kZqPNbDThx/5EM3s3Na2xvD5jNo3Qq0vuvEb+DEyONkcBtcCGRLUCfBlYbWZvZey7RWuOzneAiXF9MrCmO3XmaZV0UFweAPwEuDsBraMyMzv7Ez9zYDbhpoS4fDxhre3ZJ6e1Q31WBV3dUwkPS5cRxoyXEGbQ/YvwbKNUVpqpeiFhrHgJsAg4uwu75e1pfYTwo76MMLZ9aKpay2waaJ1Vm5xW4PfA8lg+G6hPWGstcH+8DhYBk1PVGuvuBS4ts+8WrTnn9FTC0OdSwiOGsameU+Bywgzb14AbaA3+0p1ajwMWR60raJ09PQJ4mnAj8jQwPGGt0wg3+DuAdcCchLV2mM/yyEGO4ziOUwUeOchxHMdxqsAdp+M4juNUgTtOx3Ecx6kCd5yO4ziOUwXuOB3HcRynCtxxOr0WSSMyWRHe1Z6ZXmq7W18WSZMkfb4T2+8v6RlJNZJGS1qRqbtE0iJJwyTdImlyZ+lwnJ5An+4W4DjdhZltBI6HkCINaDSzW7pLj6Q+1hpsupxJhDiaL1TRXo2Z7a7Q/GJCZKXdIYbA/9u4EJhO+N/rZkl3EKJE/a1SHY6zv+E9TsfJIGls7Hm9ImlOJvTZfEkzJT2rkOtxvKRHFXIm/iLajFbI93efQs6/P0kaUEG710t6Brhc0tckvSRpsaSnJB0saTRwKfCD2Bv+oqR7JZ2b0d0Yl5MU8lE+CCyPPcibJb0cNX2nnbd+ATFCTabN8wlpraaY2QYAM3sDGKGyMJCO05twx+k4rQi4AzjXQkzTWYTg9SV2mtlphHBtjwPfI8S0/JakEdHmaOAeMzsOeB/4rkLs1Lx2h5rZRDO7FXgeONnMTgD+CFxlZg3xmDPN7Hgze67gfUwArjGzY4FvA1vNbDwwHrhE0pF7vOkwLP2JeJwSRwB3Epzmu2XtLwK+UKDBcfZbfKjWcVqpIzjCJ+NwZQ2wNlM/Oy6XAyvNbC2ApH8Tko9vAd40s79Hu/sJidP/WtBuNpD7YcBDsUdaS8jiUi0LzKy03xTguEzvdAgwpqzdkVF7lveATYSsJzPL6tYDh+yFLsfZL3DH6TitiOAQT2mnfkdctmTWS9ul71J5DEuroN2mzPodwG1mNlvSJELO07b4kDhiFAObZyczZdsTMN3M5rTTDsB2QgLfLM3AGcDzktab2QOZun5xH8fplfhQreO0sgMYJekUCOmpJH2myjY+Xtof+AZh6PXVKtodQkgKDa0ZMgC2AYMy2w3A2Lh+FiHLfVvMAS6Lw8VIOkrSwKyBmW0GaiT1Kyt/j5CO6XpJX8lUHUXMhOM4vRF3nI7TSgtwLnCjpKWEbAnV/gVkFXCRpGXAcOAuM9tZRbszgIclPQdsyJQ/AUwrTQ4izGydKGkBIXt900daCvwW+Cchr+sK4Ne0PdI0l5BZZA/ikO9UYJakk6ID/hSwsJ3jOc5+j2dHcZwOIs5+/YuZdXnC3n1F0gnAFWZ2YYHdNEKO2J92jTLHSQ/vcTqOg5ktBuZJqikw7QPc2gWSHCdZvMfpOI7jOFXgPU7HcRzHqQJ3nI7jOI5TBe44HcdxHKcK3HE6juM4ThW443Qcx3GcKnDH6TiO4zhV8D/tOIr2JwgZagAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 576x576 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "xvar = ds.t2m\n",
    "\n",
    "ax = common_features(crs=ds.herbie.crs, figsize=[8, 8]).STATES().ax\n",
    "p = ax.pcolormesh(\n",
    "    ds.longitude, ds.latitude, xvar, transform=pc, **cm_tmp(units=\"K\").cmap_kwargs\n",
    ")\n",
    "plt.colorbar(\n",
    "    p, ax=ax, orientation=\"horizontal\", pad=0.05, **cm_tmp(units=\"K\").cbar_kwargs\n",
    ")\n",
    "\n",
    "ax.set_title(xvar.GRIB_name, loc=\"right\")\n",
    "ax.set_title(f\"{ds.model.upper()}: {H.product_description}\", loc=\"left\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "73c1e7d0-9c69-4352-904f-f2f50f8d296a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "📇 Download subset: [NBM] model [co] product run at \u001b[32m2022-May-01 12:00 UTC F01\u001b[0m                                                            \n",
      " cURL from https://noaa-nbm-grib2-pds.s3.amazonaws.com/blend.20220501/12/core/blend.t12z.core.f001.co.grib2\n",
      "  69  \u001b[34m:WIND:10 m above ground:1 hour fcst\u001b[0m\n",
      "  72  \u001b[34m:WIND:10 m above ground:1 hour fcst:ens std dev\u001b[0m\n",
      "💾 Saved the above subset to /p/cwfs/blaylock/data/nbm/20220501/subset_fd0b54cc9ac3ff58ac289b71582e09aea111611d__blend.t12z.core.f001.co.grib2\n"
     ]
    }
   ],
   "source": [
    "x = H.xarray(\"WIND:10 m.*$\", verbose=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "c0840dbf-dedb-4f9a-8c73-213a158d6954",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/p/home/blaylock/anaconda3/envs/herbie/lib/python3.9/site-packages/cartopy/mpl/geoaxes.py:1797: MatplotlibDeprecationWarning: shading='flat' when X and Y have the same dimensions as C is deprecated since 3.3.  Either specify the corners of the quadrilaterals with X and Y, or pass shading='auto', 'nearest' or 'gouraud', or set rcParams['pcolor.shading'].  This will become an error two minor releases later.\n",
      "  result = matplotlib.axes.Axes.pcolormesh(self, *args, **kwargs)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Text(0.0, 1.0, 'NBM: CONUS 13-km resolution')"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 576x576 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "xvar = x.si10\n",
    "\n",
    "ax = common_features(crs=x.herbie.crs, figsize=[8, 8]).STATES().ax\n",
    "p = ax.pcolormesh(x.longitude, x.latitude, xvar, transform=pc, **cm_wind().cmap_kwargs)\n",
    "plt.colorbar(p, ax=ax, orientation=\"horizontal\", pad=0.05, **cm_wind().cbar_kwargs)\n",
    "\n",
    "ax.set_title(xvar.GRIB_name, loc=\"right\")\n",
    "ax.set_title(f\"{x.model.upper()}: {H.product_description}\", loc=\"left\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b116b40a-370f-4c4d-a241-c8fc3009bd2c",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "7e1d5743-0f59-4790-8e2d-42fe36852972",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>grib_message</th>\n",
       "      <th>start_byte</th>\n",
       "      <th>end_byte</th>\n",
       "      <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",
       "      <th>??</th>\n",
       "      <th>search_this</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>54</td>\n",
       "      <td>67526627</td>\n",
       "      <td>68863209</td>\n",
       "      <td>67526627-68863209</td>\n",
       "      <td>2022-05-01 12:00:00</td>\n",
       "      <td>2022-05-01 13:00:00</td>\n",
       "      <td>TMP</td>\n",
       "      <td>2 m above ground</td>\n",
       "      <td>1 hour fcst</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>:TMP:2 m above ground:1 hour fcst</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    grib_message  start_byte  end_byte              range      reference_time  \\\n",
       "53            54    67526627  68863209  67526627-68863209 2022-05-01 12:00:00   \n",
       "\n",
       "            valid_time variable             level forecast_time ? ??  \\\n",
       "53 2022-05-01 13:00:00      TMP  2 m above ground   1 hour fcst        \n",
       "\n",
       "                          search_this  \n",
       "53  :TMP:2 m above ground:1 hour fcst  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "H.read_idx(\"^:TMP:2 m .*1 hour fcst$\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "bc87dc3a-27b5-4ece-b368-1071dae78bd7",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
