observations_stats_compiled_fig7.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "940fd074",
   "metadata": {},
   "outputs": [],
   "source": [
    "import sys\n",
    "import os\n",
    "import osgeo  # needed only if running from Windows\n",
    "from pathlib import Path\n",
    "from xml.dom import minidom\n",
    "import geopandas as gpd\n",
    "from datetime import datetime as dt\n",
    "from datetime import timedelta as td\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.ticker as ticker\n",
    "import matplotlib.lines as mlines\n",
    "import matplotlib.patches as mpatches\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "e542fa03",
   "metadata": {},
   "outputs": [],
   "source": [
    "sys.path.append(r\"cropburn\")\n",
    "from timeseries import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "16e0e8a4",
   "metadata": {},
   "outputs": [],
   "source": [
    "grid_file = os.path.join(r'data','Walker2023RS','Grid_Punjab_UTM.gpkg')\n",
    "rec_dir = os.path.join(r'data','Walker2023RS','Img_Lists')\n",
    "#local_out_dir = os.path.join(r'data',\"temp\")\n",
    "#coords = pd.read_csv(os.path.join(local_out_dir,'SelectedCoords.csv'))\n",
    "aoi_dir = os.path.join(r'data','Walker2023RS','AOIsbyCell_shp')\n",
    "#aoi_id = 0\n",
    "#aoi = [f for f in os.listdir(aoi_dir) if f.endswith('.shp')][aoi_id]\n",
    "#aoi_file = os.path.join(aoi_dir, aoi)\n",
    "cell_list = [30,31,32,38,39,46,47]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "e6b955d6",
   "metadata": {},
   "outputs": [],
   "source": [
    "#pd.DataFrame.to_csv(planet_obs_grid, os.path.join(out_dir,'Planet_masked.csv'), sep=',', na_rep='NaN', index=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "27aee6ac",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'\\nplanet_ts_masked = get_timeseries_for_pts_multicell(local_out_dir, \\'nir\\', 2019, 2019, img_dir, \\'Planet\\', grid_file, cell_list, ground_polys=None,\\n            npts=3, apply_masks=True, seed=889, load_samp=True, ptfile=\"centroids\")\\nplanet_obs_masked = ts_to_obs_chart(planet_ts_masked, cell_list, print_df=True, out_dir=out_dir, series_name = \\'planet_masked\\')\\n\\nplanet_ts_unmasked = get_timeseries_for_pts_multicell(local_out_dir, \\'nir\\', 2019, 2019, img_dir, \\'Planet\\', grid_file, cell_list, ground_polys=None,\\n            npts=3, apply_masks=False, seed=889, load_samp=True, ptfile=\"centroids\")\\nplanet_obs_unmasked = ts_to_obs_chart(Planet_ts_unmasked, cell_list, print_df=True, out_dir=out_dir, series_name = \\'planet_unmasked\\')\\n'"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## the input planet, sentinel2 & landsat dataframes were created from methods in observations_stats_actual_obs \n",
    "## (from img_dir, which is not available to public due to copyright restrictions of images.) See following examples\n",
    "##    the output dataframes were saved in Img_Lists and loaded below\n",
    "'''\n",
    "planet_ts_masked = get_timeseries_for_pts_multicell(local_out_dir, 'nir', 2019, 2019, img_dir, 'Planet', grid_file, cell_list, ground_polys=None,\n",
    "            npts=3, apply_masks=True, seed=889, load_samp=True, ptfile=\"centroids\")\n",
    "planet_obs_masked = ts_to_obs_chart(planet_ts_masked, cell_list, print_df=True, out_dir=out_dir, series_name = 'planet_masked')\n",
    "\n",
    "planet_ts_unmasked = get_timeseries_for_pts_multicell(local_out_dir, 'nir', 2019, 2019, img_dir, 'Planet', grid_file, cell_list, ground_polys=None,\n",
    "            npts=3, apply_masks=False, seed=889, load_samp=True, ptfile=\"centroids\")\n",
    "planet_obs_unmasked = ts_to_obs_chart(Planet_ts_unmasked, cell_list, print_df=True, out_dir=out_dir, series_name = 'planet_unmasked')\n",
    "'''"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "id": "0724b2a5",
   "metadata": {},
   "outputs": [],
   "source": [
    "planet_obs_masked = load_TS_from_file(os.path.join(rec_dir,\"obs_planet_masked.csv\"))\n",
    "planet_obs_masked_dos = convert_timeseries_to_doy(planet_obs_masked, 2019, start_day=283, end_day=346, season=True)\n",
    "planet_obs_unmasked = load_TS_from_file(os.path.join(rec_dir,\"obs_planet_unmasked.csv\"))\n",
    "planet_obs_unmasked_dos = convert_timeseries_to_doy(planet_obs_unmasked, 2019, start_day=283, end_day=346, season=True)\n",
    "sentinel_obs_masked = load_TS_from_file(os.path.join(rec_dir,\"obs_sentinel_masked.csv\"))\n",
    "sentinel_obs_masked_dos = convert_timeseries_to_doy(sentinel_obs_masked, 2019, start_day=283, end_day=346, season=True)\n",
    "sentinel_obs_unmasked = load_TS_from_file(os.path.join(rec_dir,\"obs_sentinel_unmasked.csv\"))\n",
    "sentinel_obs_unmasked_dos = convert_timeseries_to_doy(sentinel_obs_unmasked, 2019, start_day=283, end_day=346, season=True)\n",
    "landsat_obs_masked = load_TS_from_file(os.path.join(rec_dir,\"obs_landsat_masked.csv\"))\n",
    "landsat_obs_masked_dos = convert_timeseries_to_doy(landsat_obs_masked, 2019, start_day=283, end_day=346, season=True)\n",
    "landsat_obs_unmasked = load_TS_from_file(os.path.join(rec_dir,\"obs_landsat_unmasked.csv\"))\n",
    "landsat_obs_unmasked_dos = convert_timeseries_to_doy(landsat_obs_unmasked, 2019, start_day=283, end_day=346, season=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "id": "40b8865a",
   "metadata": {},
   "outputs": [],
   "source": [
    "planet_clear = np.equal(planet_obs_unmasked_dos, planet_obs_masked_dos)\n",
    "planet_clear1 = planet_obs_unmasked_dos[planet_clear].fillna(0).astype(int)\n",
    "planet_cloudy = planet_obs_unmasked_dos[~planet_clear].fillna(0).astype(int)\n",
    "sentinel_clear = np.equal(sentinel_obs_unmasked_dos, sentinel_obs_masked_dos)\n",
    "sentinel_clear1 = sentinel_obs_unmasked_dos[sentinel_clear].fillna(0).astype(int)\n",
    "sentinel_cloudy = sentinel_obs_unmasked_dos[~sentinel_clear].fillna(0).astype(int)\n",
    "landsat_clear = np.equal(landsat_obs_unmasked_dos, landsat_obs_masked_dos)\n",
    "landsat_clear1 = landsat_obs_unmasked_dos[landsat_clear].fillna(0).astype(int)\n",
    "landsat_cloudy = landsat_obs_unmasked_dos[~landsat_clear].fillna(0).astype(int)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 151,
   "id": "eba178f9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "range is 71 days, 0:00:00\n",
      "starting at: 09-10\n"
     ]
    }
   ],
   "source": [
    "start = dt.strptime(\"10-10-2019\", \"%d-%m-%Y\")\n",
    "end = dt.strptime(\"20-12-2019\", \"%d-%m-%Y\")\n",
    "print(f'range is {end-start}')\n",
    "date_labels = [((start - td(days=1))+ td(days=x)).strftime('%d-%m') for x in range(0,(end-start).days,2)]\n",
    "print('starting at:', date_labels[0])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0034f066",
   "metadata": {},
   "source": [
    "## add histogram of viirs data (for underlay):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "id": "408fdae5",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "viirs data are in: EPSG:4326\n",
      "original aoi file is in: EPSG:7773\n",
      "aoi file was inEPSG:7773: converted to:EPSG:4326 to match viirs\n",
      "there are 166 active fire points in this period for this aoi\n",
      "there are 15 burn days observed in this season\n",
      "the season is from 2019-10-23 00:00:00 to 2019-11-21 00:00:00\n",
      "the season is 29 days\n"
     ]
    }
   ],
   "source": [
    "active_fire_dir = os.path.join(r'data','active_fires')\n",
    "aoi_file = os.path.join(r'data','AOIs','cell31.shp')\n",
    "viirs_file = [f for f in os.listdir(active_fire_dir) if f.startswith('fire_archive_SV-C2') and f.endswith('.shp')]\n",
    "\n",
    "## if aoi is single polygon shapefile:\n",
    "viirs = gpd.read_file(os.path.join(active_fire_dir,viirs_file[0]))\n",
    "aoi = gpd.read_file(aoi_file)\n",
    "print(\"viirs data are in:\", viirs.crs)\n",
    "print(\"original aoi file is in:\", aoi.crs)\n",
    "if aoi.crs != viirs.crs:\n",
    "    print(\"aoi file was in{}: converted to:{} to match viirs\".format(aoi.crs, viirs.crs))\n",
    "    aoi = aoi.to_crs(viirs.crs)\n",
    "viirs_clip = gpd.clip(viirs, aoi)\n",
    "print ('there are {} active fire points in this period for this aoi'.format(len(viirs_clip)))\n",
    "\n",
    "viirs_bydate = viirs_clip.groupby(['ACQ_DATE'])['ACQ_DATE'].size().reset_index(name='counts')\n",
    "print ('there are {} burn days observed in this season'.format(len(viirs_bydate)))\n",
    "viirs_bydate[\"obs_date\"] = pd.to_datetime(viirs_bydate['ACQ_DATE'])\n",
    "viirs_bydate.set_index(\"obs_date\", inplace=True)\n",
    "\n",
    "season_first = viirs_bydate.index[0]\n",
    "season_last = viirs_bydate.index[-1]\n",
    "print('the season is from {} to {}'.format(season_first, season_last))\n",
    "print('the season is {} days'.format( (viirs_bydate.index[-1] - viirs_bydate.index[0] ).days))\n",
    "\n",
    "viirs_doy = convert_timeseries_to_doy(viirs_bydate, 2019, start_day=283, end_day=346, season=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "904e3f57",
   "metadata": {},
   "source": [
    "## add PM2 data (for underlay):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "id": "906d3615",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "max PM2.5 value is 223.0695, Min value is 11.397333333333334\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "From Date\n",
       "1    27.234583\n",
       "2    70.958750\n",
       "3    58.074167\n",
       "4    35.095417\n",
       "5    38.424167\n",
       "Name: PM2.5, dtype: float64"
      ]
     },
     "execution_count": 122,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pollution_data = pd.read_csv('./data/PM25/Punjab_Bhatinda.csv', usecols=['From Date', 'PM2.5'])\n",
    "# change 'None' to legit NaNs:\n",
    "pollution_data[\"PM2.5\"] = pd.to_numeric(pollution_data[\"PM2.5\"], errors='coerce')\n",
    "# convert to time series:\n",
    "pollution_data['From Date'] = pd.to_datetime(pollution_data['From Date'])\n",
    "pollution_ts = pollution_data[pollution_data['From Date'] > pd.Timestamp(2019,10,9)]\n",
    "pollution_daily = pollution_ts.set_index('From Date').resample('D')['PM2.5'].mean()\n",
    "#pollution_daily.dropna(axis=0, inplace=True)\n",
    "#pollution_daily = pollution_daily.astype(np.int64)\n",
    "print('max PM2.5 value is {}, Min value is {}'.format(pollution_daily.max(), pollution_daily.min()))\n",
    "pollution_doy = convert_timeseries_to_doy(pollution_daily, 2019, start_day=283, end_day=343, season=True)\n",
    "pollution_doy.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 153,
   "id": "791e588e",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\klobw\\AppData\\Local\\Temp\\ipykernel_8612\\3878458711.py:10: MatplotlibDeprecationWarning: The join function was deprecated in Matplotlib 3.6 and will be removed two minor releases later.\n",
      "  ax1.get_shared_x_axes().join(ax1, ax2)\n",
      "C:\\Users\\klobw\\AppData\\Local\\Temp\\ipykernel_8612\\3878458711.py:15: UserWarning: FixedFormatter should only be used together with FixedLocator\n",
      "  ax1.set_xticklabels(date_labels, rotation='vertical', fontsize=18, fontname='Palatino Linotype')\n",
      "C:\\Users\\klobw\\AppData\\Local\\Temp\\ipykernel_8612\\3878458711.py:47: UserWarning: FixedFormatter should only be used together with FixedLocator\n",
      "  ax2.set_yticklabels(cell_labels, fontsize=18, fontname='Palatino Linotype')\n"
     ]
    },
    {
     "data": {
      "image/png": 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9x7569Sr33XcfBw8exMrKioCAAJKTkzl69CgAnTp1YunSpTg4OGR73Jo1a+Ls7MyhQ4dISUmhRo0abN68mfLly6fl27FjB/fccw/x8fG4u7tTtWpVUlNTCQoKIjIykkceeYTFixfnGHOpYUiJFBQUZABGUFCQsX5PrHHfC+eN96ZeMS6GJqVLZzabjQMn440nP7pkPDI8yDh/OSmLEsWS1u2MMe594bzx4Y9XjOCryen2mc1mY9/xeGPQ6GCj54gg4+IVtUlmPl33qVH9i+rGhI0TjPC48HT7klKSjCVHlhiNvm5k9JjVw4hNjC2aIOWOFhIVYrSZ2sZo/0N7Y8PZDUaqOTXd/uDIYOPN5W8a1b+obszZP6eIorSspRuijI7Pnzc+m3nNCL2e/tqVmmo2dhyOM/qNumg8NuqicTU8OYtSxJJen/uDUf2L6saD375uHLp4Md2+5JQUY+q/q43an91l1P28jXEi5HIRRVm6zPs70uj4/Hlj0uzrxrWIlHT7UlLNxpYDcUbvdy4aT3wQbIRHpWRRiljCwYMH87VJwZm5PMLo+Px547sFYUbYf86DlBSzsX5PrNFzRJDx5EeXjOjY1CxK+Z/VJ1YbNSbUMJ5d9KxxJuxMun1ms9nYeXGn8cD0B4ym3zQ1Tl07ZdG6iEjp8e2CMKPj8+eNaUvDjciY9NeupGSz8ff2GOOh1y8YL3weYsQn5nztsrS9l/Ya9SfXNx79/VHj4OWM97FjV44Z/ef2N+pMqmNsv7C90OMrqW79fu12HDx40GjZsqXh6OhoAMa+ffvS9v3777/Gc889l2Ves9lsNG3a1Bg7duxtHVuKXo8ePQzA8Pf3N7Zt25Zu38mTJ43x48ene2zw4MEGYEyfPj3d4/v37zfs7e0NBwcH48cffzRSU/93jVm6dKnh5uZmWFtbp3t9GYZhrFixwti2bZthNpvTPb5hwwajQoUKhrW1tXHqVPr3Rv/++68BGNbW1kb58uWNLVu2pO2Lj4/PVb0fffRRAzDq16+frvydO3ca3t7eBmC89dZbmR7XxsbGcHNzM9atW5e27/z580ajRo0MwOjdu3e6fA899JABGCNHjjQSExPT7du5c6fx+++/5yrm0kIje0qom788OHL8PG98Z6J1A0fee6ospMYRfmwakafmkBp/BWvH8rjX6I915Sd57atoHOyt+P5t7ztmahFzcmym9S1TZyhWtpn/aqKghUWm0v/9YDo0ceKdwWWznD4vMiaVlyeE4uZsxbcjfHJdfnGss6VtOLuBJ/94kg/u/YDBTbMeynwo9BD95/anX8N+jOo4qhAjTK80tMl/WbrOxfE5fHLhk5y4foI/Hv8DH9fMz1HDMBi9djRz9s/h76F/4+fhV8hRWs7FK8kM+SiE7u1ceKVvGYyUzO8nKT5DeHlyNP6VbBn3YvmcC/5/xbGNi7vAY0cZ+ld3mrn3Z+7TYyA1PtPn8IJTZ/r9MRAfuwasf+2XXJdfGs7j/8pvjKcvJvHM2Mv06+zGsz08skx36VoKL39xmUY1Hfjg6XIWrIHcSiN7Cua8y2+Zh88k8vKEUJ7s7s7Aru5ZlhflMZjXvoqmbSNHRgwsm2V5EfERtPuxHe2rtufr7l9jbZX5SKDIhEgem/MYtta2LB249I75vFMQSuP1v7Qp7m1SHF+D2w7FM3LKVV55rAw9OrhmWeYVp8G8+U0U3du58PyjZQotxuTUZDr+3BEfVx9m9ZmFo61jpukSUxIZumgoJ66dYOOzG7G3sS+U+Aq6vIJwM8ag/b/SZODu2xrZYxgGHTp04KuvvqJdu3bExsZy8ODBtPcYgYGBbNu2jXfeeSfT/LNnz+bNN9/k9OnTODk55btOUrh27txJy5Ytsbe35+DBg9SsWTPHPFmN7Hn00UdZtGgRX331Fa+88kqGfN9++y0vv/wyTz31FNOmTctVfNOmTePpp5/m008/ZeTIkWmP3xxhA/DHH3/Qq1feZio5efIktWvXxjAM9uzZQ5MmTdLtX7BgAX379sXZ2ZmQkBBcXV0zHHfSpEm8/vrr6fIdOHCARo0aYTKZOHXqFNWrVwegTp06HD9+nMjISNzc3PIUa2mkzp4S6mZnz5S5p1i82Zb5Yyvhap/AxX/6kRh+BDDfktoK+zL1uFTxV0b+EM23I7ypVy13N/zizJwcm219fe+fWyRvImatjGT2qigWjKuEi1P2Q7s374/j/R+uMfUdn1zNW15c62xpTy96miuxV1jyxJIcP6h/seELft//O1uGbcHJrvDfHJWWNrmVpetcHJ/Ds+FnuX/a/UzoOoGe9XtmmzYhOYG7f7ibvg368k6HzN/ElwTf/xHO6m2xzB9bCRvism2Tw64z+GJ2LLPGVKCSV85TURbHNi4Jek19l8NRf7Pn1c04WqVk+xxOiXmEBec+54++/9DYL+dOx9JwHv+XJWKcNDuMrQfjmftJRayts78//RkYzXcLw5n7SUXKeWjaw/x2zEDGzpnS3tlTEOedJcr8dPo1jp1LYuaHFSA1+/vJRmM6s1bHM+/TillO5/bzzp+ZuGkiG5/dSDnn7DtPN57byJCFQ5jXfx7NKzXPVZ1Lm9J4/S9tinubFNfX4DvfXSEy2sz37/jkWObKuGks35LI/HGVcLDLeTo3S8S4+sRqXlj6An8N+ot65etlm/ZM2Bk6/dKJid0m0qNej0KJryDLKwi3xhgTl0LTZy7cVmfPjz/+yIkTJ5gwYQIuLi7ExsZy9OhR6tSpA0BwcDDR0dFp/98qKSmJ2rVrM3z4cF588UWL1EsK13vvvcenn35Kv379mDNnTq7yZNbZk5SUhLu7O8nJyYSFhWXaoXHhwgX8/Pzw9/fn1KlT6fZdvXqV2bNns337dq5cuUJCQgIAkZGRHDp0iL59+zJv3ry09Dc7Xdzd3bl+/TrW1nmbenrKlCm8+OKLtG3blo0bN2bYbzab8fPz4+LFi6xcuTJtPZ2bx7Wzs+PatWtpnUC3ateuHZs2beL777/nueeeA25MCffPP//w008/8fTTT+cp1tJIK1iWcIF7krinqRPuLtaEH5uWyc0UwExi+BH8TbOoUM6G5ZtiiiJUi8upvuHHctfTbWkrNsdwXwunHDt6AFoFOFK+jDXLN+euTYpTnc0pcRbZ/uty9GUCzwQyoNGAXP0is3+j/sQkxrDyxMoM+2JjYy2yZac4tUlhyU+d4xPNGbaQgzOIunaGxFQ7ElMdbtnsiLp2hpCDMzLkKWgLDy6kjGMZutXulmNaB1sHegf0ZsHBBaSaUws8toI491JTDVZtjaVra2fsbE05tnEj5zm4Olmxckv258dNpfE8ya/YxEQORi2jZdmeONvb5/gcPuUXjZXhyFfr5uaqfEu3SUlo4/zGmJhk5p8dsTzU1iXHjh6ATnfdOJ9Wb8vdeZIfcUlxFtlKkvhEM4nJ5GsrjPtJQSqI8y6/ZcbEmVm/J47u7Vywssr5ftK63EIMw2Dtzqxff/MPzueBWg/k2NED0MavDVXLVGXegXk5pi0NCuN9V0m4/hcn+nxSPN+DXA1PYeeRBB5u75KrMtv5LCU2wWDD3vhCi3HewXk0qdgkx44egOqe1Wnj1ybX18Li1iaZXbtuZ7u9GHPv+vXrTJkyhdGjR6d73Mrqf98FVapUKdOOHrgxUsNsNvPMM8/cdgxStG6uT9OqVat8lXPixAkSEhKwtramW7dutG3bNsPWv39/4EYH4q3WrFlDzZo1ee2115gzZw5r165l8+bNbN68Oe2HUWFhYZket2bNmnnu6LkZL0C9eplfj6ysrNJe9zfT3srX1zfTjh6AunXrZsj32muvAfDMM89Qt25dXnvtNRYuXMj169fzHHtpoJ8ZlnChYWYC/G+M0ok8NYesb1Rmok/PoV61xwm+mlJo8RWknOobeWoOZRtkHPpYkFJSDULDUqnvn7uRU9bWJupWs+dSLtukONX59Pz6Fimn5uNn0/0fFBmEgUGzSs1yld/X3RcfVx/OR5zPsK/7CMtc+NdNyfpXR8WpTQpLfur84OsXM3m0+/9vWdgKkD7fuilVcg40H86FnyPAOyDX0x40q9iMabumEZkQiadTwS6qWRDnXlScmei43N9PEs79Ts3KfXJ9PymN50l+nbt6FbNVHG39byyum9NzaBM8Hw+rGgRHX8hV+ZZuk5LQxvmN8XqUmYQkI+08yYmLoxXVKtgWyvuuBl83sEg5p4eftkg5heHG/SS/0zhcLPD7SUEqiPMuv2WGhqWQkkqu7ycEz8S3/CMEX03ONIVhGJyPOM+gJoNyFb+VyYomFZpk+r6wNCqM910l4fpfnOjzSfF8D3LpagqGkftrl8OVaXi6deVSFteugojxXPg5OtfsnKvjATSt2JT5B+cXWnyWLC/za1fe5fXaFR0dTVRUVNr/9vb22Ntn/b7vrbfe4r333sPFxSXd47d29mQlPDycTz/9lM8++ww7u5xneZHi6ebrxcPDI1/lREZGAjdG+GzevDnbtDdH7QBERETQr18/IiMjGTRoEC+88AK1a9fGzc0NKysr/vnnHzp16kRycubXKmfn2xthFxNz4wfr5ctnPa27t7c3cOO8+q+85nvwwQdZvnw5n376Kdu2bePYsWN89dVX2NjY0LNnTyZPnkylSpVuqy53Io3sKeEMSBv9kBp/Jdu0qfFXMP1/njtBbupb2G5OipiXGcJN3PggmxvFsc6WdvO5MOXhWTRhwiiiV3ZpaJP/Kg11zvPryXSb+YqJtEvQ/9cjV/cTk0nXrgJkNqd/bnP3HOb+WmjpNikJbZzfGP93f8o9k+mW80vEwgrivLNUmTfPk1x/PsnmPDEMI0/r7+Tl/iT5VxKu/6VNcW+T4vge5L9XjNy9F879Pd4yMebtumai6N6rF/fXYFYx1KtXD3d397Rt3LhxWebfvn07Fy5coHfv3hn25WakxIcffoi7u3u6NVuk5Lk5OiUiIiJf5dzsMKxUqRKGYeS43bRy5UrCw8Np3bo1M2bM4K677sLDwyOtwzEoKChfceUU75UrWZ/LoaGhAJmO4Ll69WqW+W6W+d983bp1Y/PmzVy9epXFixfz8ssv4+HhwYIFC+jevXuWHVqlkUb2lHDl3K04dj7xxpQijuVJjb+cZVorh/IcP5lEHb8741cDOdXX2jH3C4dbiq2NibLu1hw/n8QDrXNObzYbHL+QRJNauRwJVIzq7N/3cIGU6+t+Y47cA5cP4F/WP8f0oTGhhMaE4uuWcW7dv77IerFfSylObVJY8lPn5ZMzttO5v+4lNT40m/K8qdp9Xd6CzCdfd1+WHFlCUmoSdtY5XzMPXj6Ii50L7g7uBR5bQZx77s5WODmYOH4+iTYNnXJsY7N9RU5fTKJzq9z9Eqg0nif5Vc3LC5PZgR3n9zOMzjk+h3E2FYk0n6GOc9NclW/pNikJbZzfGD3drLG1gWPnE2laxyHH48UnmjkfkkyLepkvoGxJB185WODHKG6WT/blyJEj+Sojq6knSoqCOO/yW2Y5D2usrODY+STqVrPPsbwEm2oEX03J8n5iMpmo5F6JA5cPMIABOcZvGAYHLx+kbvm6OaYtDQrjfVdJuP4XJ/p8Ujzfg/iUvfHV2PHzSVT2ts2xzEhTHcIiU9PyFUaMld0rc+DygVwdD258nq7knrtfuhe3Nsns2mVpmcV45MiRdKMDshrVYxgGb7zxBj/88EOm+3P6gcLRo0f5/vvv+fHHH7G1zXn9Uym+6tevz59//sm2bdt49dVXb7ucmjVrYmtrS0hICGFhYXh65m62kHPnzgHQunXrTF93+/fvv+2YslOrVi2ALN+Lm81mjh07li7trYKCgoiJickwKg7+NzVeZvkAPD09eeSRR3jkkUcYNWoUtWvXZu/evezatYvWrXPxRWwpoJE9JVyHJnas2xlHTJwZ9xr9ybpJrQhyfJmg0BS63Z3xZCqJcqrvjf2Fr+vdzvy9I5a4hJznft11NIGQayk80Dp3bVKc6mxl42SR7b8qulWkjV8bft//e67imLt/LvY29pmureLs7GyRLTvFqU0KS37q7GhvlWErX7sX9tZJ2FsnZLIlUb52rwx5ClrvgN5ci7vG3yf/zjFtYkoi8w/Op1f9XthYFfxvKAri3LO2NtGppTPLN8eQnGLk2MbHTK8REWOmawm8dpUULo4O1HHuwubQP0hMTs7xOZwb245Uqyhe6vBYrsq3dJuUhDbOb4yO9lbc29yZZZtiSDXn/EvZtTvjiEs06JLLTtH8cLJzsshWkjjaW2FvS762wrifFKSCOO/yW6a7izVtGzmydGMMhpHz/WRP0uukmg3ub5n1edInoA9/HfuLyITIHOPfcXEHJ6+fpHdAxl9al0aF8b6rJFz/ixN9Pime70F8ytrQuJY9SzfG5KrM7XGvYm9nokPT3N07LRFj74DebA/azqnrp3JMGxQRxPqz6+nboG+hxWfJ8jK7dt3OltcYXV1dcXNzS9uy6uz59ddfadiwIQEBAdkeIytvvPEGVapUYeDAgbeVX4qPHj16ALB48WJOn7796ZCdnJzo0qULZrOZr7/+Otf5HB1v/Kjs5iiaW12/fp1p0wpmjbbOnTtjMpnYtGkTe/fuzbB/0aJFXLx4EWdnZ9q0aZNhf1JSUqaxHTp0iI0bN2IymejUqVOOcXh7e1OtWjUALl26dBs1uTOV7E84QsemtqSaDab+GY5H7aewL1OPjM1qheHahNl7O1C1gi0Na+ZuFElxV6bO0Czra1+mHmXqDC2KsHiojQuJSQY//hmR7bDp2HgzPy6OoIavLfWr5260VXGts6U90fgJ9l7ay6LDi7JNd/r6aWbsmUGPej1wtc98cbeCVlra5FaWrnNxfA5rlavFXZXvYuKmiYTFZb6Y4U3fbP2GsLgwBjTO+RfHxdnD7V0IjzLz6/LIbNskyakFC/bdRZPa9vhVyN0v0YpjG5cEL7cbTLLVVZ7/fXK2z+Flu6YsubIeH6tW3FWjRq7KLg3n8X9ZIsZH2rtw+Xoq89ZEZZvuWkQKs1ZE0rqBY65/9SuSVwVx3lnmPHHlfEgyfwbGZFtelH1blhxoSPsmTni6ZT3lTd8GfTEMg7GBY7N9bx2XFMe4wHH4e/pzd5W7c4yztCqN1//Spri3SXF9Dfbo4Mqh04n8vT022zKv23Rk1ZG6dG7ljJND7r5Ss0SMXWp2oZxTOT5a9xHJqVlPV5RqTuXjfz/GzcGN7nWyWZ/LwvEVZHkFIesYsxcfH8+4ceMYM2bMbR13+fLlrFq1ilGjRmFjo/eIJV2zZs3o2bMnCQkJdO3alZ07d6bbf+rUKSZMmJCrsj7++GPs7e355JNP+Oyzz4iPj0+3PyQkhK+++oqpU6emPdauXTsA5s+fzz///JMu7aOPPkpKSsGsHVqjRg169eoFwKBBgzhz5kzavj179vDKKzfW5HrppZcyncbNxsaGDz/8kPXr16c9dvHiRQYNurFGY69evfD3/99MP/369WP58uUkJSWlK2fhwoUcPHgQk8lEkyZNLFfBEk6dPSVcGVcrXu/vyYrNsUyYm4hzy9l4NngVa0cfwAprRx9iK73Hl0e+JviqmZFDyuZpzuvizMrWGd/752aor2eDV/G9fy5WtgX/S9rMlPe04dV+nizdGMPE2WGER6dmSHMmOIk3vgwlNCyFd/PQJsW1zpbWqUYn+jboy9ur3ubnnT8Tn5z+Jmc2zKw/u57+8/rj7eLNiHYjiijS0tMmt7J0nYvrcziuyziiE6N5fN7jmU6ZEBEfwcfrPub77d/zdoe3qVE2d1+yF1fVKtrxbA8Pfl8dxdQlSbjfnfF+Eu79IV/sn0h8Irw5IPfTkBTXNi7uujRsRMfyL7D+2g8MmPEF1s2mpnsOTfbebHd+mufOXMVsSmZK76znFf+v0nIeWzrGOlXtGdjVjZ+XRjJtSQQx8elH8RqGwaHTibw66QoG8OpjZQqmMiIUzHlniTKb1Hag972ufLsgnN//TqFsuznpyrNy8CHE82PG7/4URwdrXuyT/XlSzrkcYzuPZeGhhYxYOYKrsRnneT957SSDFgziTNgZJj84+Y75vFMQSuP1v7Qp7m1SXF+D7Ro70qWVM5/Pus4fG1Lxap/+2mVyqMB5t08Zv+tDvMvYMPRhj0KN0d7GnskPTWZH0A6e+fMZLkRcyJAmODKYF5a8QOCZQCZ2m4ijbe6mki2ubVKQbo3R5OCV63xffvklx48fx9vbG5PJlG6LjY0FoFq1aphMJho1apQub1JSEq+99ppG9dxhpk2bRuvWrTl58iQtW7akWrVqtGjRAh8fH2rWrMm3336bq3IaN27MnDlzsLe3591338XT05MmTZpw1113UaVKFSpWrMhrr72WNnUb3Ohs6t27N8nJyXTq1ImaNWvSpEkTqlSpwp49e/jss88KqNbw/fff06BBAw4dOkStWrVo3Lgx9evXp1mzZoSEhHD//fczevToTPPefffdtG3blnvuuYfatWvTtGlTqlWrxt69e6levXqG52zVqlU89NBDuLm50aBBA1q2bEnFihXp06cPqampvPfee1SvXr3A6lrSmAytXlkiXbx4kcqVKxMUFISvry9rtscyeXYYqWaDto2c8Pe1JdUMe48nsP9kIl4e1nz8nBe1qtwZ6/WUBCu3xPDVvHAMw6BdYyeqVbQlJRX2HEvg4OlEvD2t+XiYFzUqq00yk2pOZWzgWGbumYmbgxsP1X6Iim4ViUmKYdWJVZwNP0sL3xZ89/B3lHUq+LmvpXQ6E3aGZ/98lrPhZ2nk04gO1TpgZ2PH6eunWXFiBWazmbc7vM2TzZ4s6lAtZuG6KH78MwJrqxtTU1TxtiEpxWD74YT/n8fchk+e86Kyt+aXLgxms5mX53zHqkvfYDJsqel0P1Xcq5KYksi+axuINh3HyVyVaY/+SEv/nNc5k/wzDIPZq6OYviwSO1sTHZs6UcnLhsRkg60H4zl1MZnqFW355Hkvjeq5xaFDh/Jdxn+nS8lvmbc7/YrkzGw2mL4skjmro3CwN9GxmRMVytoQn2Sw5UA8Zy8lU7uKHR89Vw4vj9ydJ0uOLGHUmlEkm5PpXKMzdcrXwWw2szVoK9uDtuPj4sP3Pb6noU/DAq6diNypUs0G3y8MZ1FgDK5OVtzb3AmvMtbExhts3BfHxSspNKxhz5hny+HukvWIxIK0+fxmXl32KhHxEbSv1p4mFZtgwsSBywf498y/uNi5MOnBSXSs3rFI4iuJ/vv9WnaGDh3K5s2bM913/PhxAKpXr46trS1169blzz//TNs/btw4Ro4cyTfffMNLL71kuQpIkUtOTuann35i9uzZHDp0iMTERCpUqECzZs0YPHgwDz30UFraIUOGMHPmTKZPn86QIUMylHX+/HkmT57M6tWrOX/+PNbW1lSqVIl69erRo0cPHn74YTw8PNLSJyUl8cknnzBr1iyCg4MpW7Ys99xzD6NHjyYkJISOHTvSoUMHAgMD0/IEBgZm+nhexcbGMmnSJObPn8/p06exsrKiXr16DBo0iGHDhmVYk+rW4/7999+MHTuW3377jaCgIDw9PenRowcfffQR5cqVS5dvyZIlrFixgi1btnDp0iViY2Px9fWlYcOGvPbaa7Rv3/6263AnUmdPCZXZzSg6zszqbTGs2R7LtfBUrK1NVPGxoXtbF9o0csLWRr9wK2xRsams3hZ7o00iUrGxNlG1gi0PtXWhTSNHbKzVJjm5EHGBOfvnsObUGiITInGwcaBZpWY80fgJmldqrl9uSoFLNafy75l/mb1/NseuHiM5NZlyzuV4pO4j9A7oTTnncjkXUsKERaWyaksMa3fFERZ149pVw9eWh9u70rK+A9ZWOu8K24mQy4z/+3e2X15BIuFYYYeXTS0GNBnAU+3uw07TQBS6axEprNgSy7+7YgmPNmNna6JWFTsebudC87oOWOk8SUedPaXTlbAUlm2OYf2eOCJjzNjbmqhT1Y5H2rvSpLZ9nt/HRSVEsejIIhYdXkRIVAg2VjZU96xOv0b96FKzC3bW+hGViORf8NVklm2MYdP+eKLjzDjYmQjwt+eR9i4E+Of92mVp8cnxLD+2nHkH53Eh4gIGBpXdK9OnQR+61+mOs13Rj5wpSfLS2ZMVwzCwsroxedLZs2epWrVquv3BwcHUqVMHOzs7goKCcHIqWWslikjJoc6eEsoSNyMRERERkcKgzh4REREpjizx/Vp0dDRubm4AnDx5khr/WUezf//+zJ07l3feeYdx43I/9bKISF5pzR4RERERERERERGR23Ds2LG0v29O53ZTYGAgc+fOxcrKiueff76wQxORUkZzfoiIiIiIiIiIiIjkUkJCAk2bNiUuLo5Lly6lPf7www9ToUIFAgICWLVqFS+//DIAnTp1okqVKkUVroiUEursEREREREREREREcklBwcHjhw5kmO6nTt34uDgUAgRiYios0dEREQsTOtoiIiIiIiIoI4eESlUWrNHRERERERERERERESkBFNnj4iIiIiIiIiIiIiISAmmzh4REREREREREREREZESTJ09IiIiIiIiIiIiIiIiJZg6e0REREREREREREREREowdfaIiIiIiIiIiIiIiIiUYOrsERERERERERERERERKcHU2SMiIiIiIiIiIiIiIlKCqbNHRERERERERERERESkBFNnj4iIiIiIiIiIiIiISAmmzh4RERERERERERERkQI0ZMgQTCYTM2bMKOpQ5A6lzh4RERERERERERERkTyoWrUqJpMp3ebo6Ii/vz9PPfUUhw8fLuoQLSYiIoLRo0fz5Zdf5ph23rx5dO3aFW9vb+zs7Chbtiz16tWjT58+fPfdd4SEhBR8wKXUHd/ZExcXx8qVK/nkk0/o1asXfn5+aSff6NGjs8x37ty5DCdrdtuTTz6ZoYybvbU5bSkpKQX4DIiIiIiIiIiIiIhIQahZsyZt2rShTZs2+Pv7c/HiRaZPn06zZs3466+/ijo8i4iIiGDMmDHZdvYkJyfTs2dP+vXrx6pVq0hMTKRu3br4+flx6dIlFi5cyEsvvcQff/xReIGXMjZFHUBB27FjB926dctzPmtra7y9vbNNk5CQQGRkJAAtWrTIMp2DgwPu7u5Z7jeZTHmOT0RERERERERERESK1siRIxkyZEja/6GhoTzxxBP8888/PPnkk5w7dw4XF5eiC7CQTJgwgcWLF+Po6MjPP//MY489hrW1NQCGYbB7925mzZqFm5tbEUd657rjO3sAypQpQ9OmTdO2119/ncuXL2ebp3Llyjmmefnll/n2229xdHTk8ccfzzLdY489prkYRURERERERERERLJgmFOJv7qT1PgrWDuWx9GrBSYr66IOK8+8vb2ZNWsWVatW5fr16/z999/07NmzqMMqcDNnzgRg1KhRGb4rN5lMNG/enObNmxdFaKXGHT+NW7t27QgLC+Off/5h/Pjx9OvXD3t7+3yXm5CQwO+//w7Ao48+ioeHR77LFBERERERERERESltYoJWcW5pW4LX9ufyllcJXtufc0vbEhO0qqhDuy0+Pj7UrFkTgJMnT2abNj4+njlz5tCvXz9q166Ni4sLLi4uNG7cmE8++YTY2NhM891cM+jcuXNs27aNrl27UqZMGZydnWnXrh3r1q3L8piGYTB37lw6depE2bJlsbe3p3r16rzyyisZBkAMGTKEatWqAXD+/PkMS5TcdObMGQAaN26c4/OTmeDgYN544w3q1auHs7Mz7u7uNGjQgOHDh2f6HF64cIHnn3+eatWqYW9vT7ly5ejatSsrV67MtPzRo0enLe1y+fJlhg4dSsWKFXFwcKBu3bpMmDAh2+VWLl68yCuvvEKtWrVwdHTEw8ODjh07snDhwtuqb0G44zt7bg4Vs7RFixYRHh4OwNNPP10gxxARERERERERERG5k8UErSJk4wukxKXvZEiJCyVk4wsltsPHMIxcpdu9ezePP/44f/zxB3FxcdStW5eKFSty+PBh3n//fdq3b098fHyW+ZctW0b79u3ZuXMn/v7+2NrasmnTJrp06UJgYGCG9MnJyTz22GP079+ff/75J62zIzQ0lG+++YamTZty4sSJtPS1atVKG5Fjb2+ftj7Rze2mm9Oz7dixI1f1vtXatWupV68ekydP5tSpU9SoUYMqVapw5swZJk6cmDbo4qbt27fTqFEjpk6dytWrV2nQoAGOjo6sWrWKbt268cEHH2R5rOvXr9OyZUtmzpyJt7c3fn5+HDt2jBEjRtCnTx/MZnOGPOvXrycgIIBvvvmGixcvUrNmTdzc3AgMDKRPnz4MHz48z3UuCHd8Z09BmTZtGnBjAa4OHToUcTQiIiIiIiIiIiIiJYthTuXq7jFAZh0jNx67uvsjDHNqocaVX5cvX+bUqVMA1KhRI9u0lStXZv78+YSHhxMUFMTOnTs5ceIEQUFB9O7dmz179jB+/Pgs87/xxht89NFHhIaGsmvXLq5evcqAAQNISUnhnXfeyZD+gw8+YMGCBTRp0oS9e/cSHBzMvn37uHbtGi+88AIhISEMGDAgLf3IkSNZsGABcGPE0qZNm9JtNz3wwAMAjBs3jnfffZdDhw7lqsPrwoULPProo0RFRTFo0CAuX77M/v37OXjwINHR0SxbtoxmzZqlpY+Li6Nv375ERETQt29fQkJC2LVrF0FBQcyYMQNra2s+/vjjLEf4TJ06FQ8PD06dOsXevXs5fvw469evx93dncWLF/P999+nS3/p0iV69epFVFQUY8eOJTw8nAMHDnDhwgU2b95MpUqVmDhxIsuWLcuxrgVNnT234cyZM/z7778ADB06NMf0a9eupVatWjg4OODm5kaDBg147bXXchzCd6vExESioqLStujo6NuOX0RERERERERERKSoxV/dmWFET3oGKXEhxF/dWWgx5deVK1cYOHAgiYmJlClThk6dOmWb3s/Pjz59+uDi4pLucR8fH3799Vfs7OwyjGy51QMPPMA777yTNsOVra0tX375Jfb29mzfvj1tdiqAq1evMnnyZNzc3Fi6dGm6KdccHR355ptvaNGiBbt27WLjxo15qvfnn39OtWrVSE5O5rPPPqNBgwaUKVOG++67jzFjxnD8+PEs80VGRnLfffcxY8YMPD090/ZZWVnx4IMP0r1797THZs+ezYULF/D29mbmzJm4urqm7Rs8eDDDhg0DbnQ6ZSYlJYUZM2ZQtWrVtMfat2/Pxx9/DMCECRPSdVJNnDiRsLAwXnvtNd599910S8TcfffdTJ06FYDJkyfn9qkqMOrsuQ2//PILhmFgY2PD4MGDc0x/8eJFzpw5g5OTE3FxcRw6dIivvvqKgICADD2FWRk3bhzu7u5pW7169fJbDREREREREREREZEikxp/xaLpisLYsWNp27Ytbdu2JSAggMqVK/PPP/9ga2vLTz/9lK4zIitms5klS5bw4osv0rVrV9q1a0fbtm3p1KkTJpOJkydPEhcXl2nezJYYKVeuXFpnxs21dABWrFhBYmIiXbp0wdfXN0M+KysrHnroIeDG1GV5UalSJfbu3cuHH36YduzIyEjWrVvH6NGjqVu3Ls888wyJiYnp8i1ZsgSAESNGpFsDKCtr1qwB4JlnnsHBwSHD/ldffRWALVu2ZLreUevWrWnatGmGx5966ikcHBw4d+5cuo6pRYsWAVkv5fLAAw9gZ2fHli1bsl3zpzDYFOnRS6DU1FRmzJgBwIMPPoiPj0+WaZs2bUqLFi146KGH8PX1xdramri4OFatWsVbb73F6dOneeGFF/Dy8qJ3797ZHvfdd9/ljTfeSPs/ODhYHT4iIiIiIiIiIiJSYlk7lrdouqJw8uTJtBmc7Ozs8PHxoX379rz55pvpRs5kJSIigm7durF169Zs04WHh+Pk5JThcX9//0zTly9fnuPHjxMTE5P22MGDBwHYtm0bbdu2zTRfaGgocOP757xyd3dn9OjRjB49mrNnz7Jjxw7+/fdflixZwuXLl/n5559JTU3ll19+ASA6OjrtOK1atcrVMW6uJ5TVd+M1a9bEzs6OpKQkTp8+TcOGDdPtr1u3bqb5nJ2dqVy5MidPnuTEiRPUqVOHmJgYzp07B8Czzz6bbVwJCQlcv34db2/vXNWjIKizJ49WrVqV9gLMqjfvpldeeSXDY05OTvTq1YsOHTrQvHlzzp07x/Dhw3n00Uez7bm0t7dPN0QsKirqNmsgIiIiIiIiIiIiUvQcvVpg4+RDSlwoma/bY8LGyQdHrxaFHVquTZ8+nSFDhtx2/jfeeIOtW7dSu3Ztxo4dS6tWrShXrhx2dnYA+Pr6EhwcTHJycqb5nZ2dM33cyurGpF63TkkWGRkJQFBQEEFBQdnGFR8fn+e63KpatWpUq1aNxx57jEmTJvH0008zZ84cZsyYwZgxY6hcuXK677jd3d1zVe7Nzqvy5TPvADSZTHh5eREcHJzpUihZ5QPw9vbm5MmTafluPl8AmzdvzjG2/D5n+aVp3PLo559/Bm4MS+vatettl1O2bFlGjRoFwPnz59m7d69F4hMREREREREREREpCUxW1ng1+/Dmf//dC4BXsw8wWVkXalyFJSUlhfnz5wM3pjPr1asXFStWTOvoSUlJ4fLl7NY0ypub6wKNGjUKwzCy3W7ObmUJTk5O/PDDD1hZWWEYBrt27QJIN8XdrR0ruanDlSuZT+1nGAZXr17NUP5NN/dl5maZN/Pduo5SUlJSjs/ZresAFQV19uTBlStXWL58OQBDhgxJW/TqdrVu3Trt71vnThQREREREREREREpDVwqP0CFdlOwcUo//ZWNkw8V2k3BpfIDRRRZwbt69SqxsbF4enpSu3btDPsPHTpEamqqxY53c+qzQ4cO5SlfbtbSyYmrqyteXl7AjY4TADc3t7S1g7Zt25arcmrVqgXAkSNHMt1/8uRJkpKSsLa2znSKu6NHj2aaLy4ujgsXLqQ7hru7OxUrVgTg8OHDuYqvKKmzJw9mzpxJcnIyJpOJp556qqjDERERERERERERESnxXCo/QNWHN1Hpvjn43P0Vle6bQ9WHN97RHT0Ajo6OwI0lOzKbAmz8+PEWPd6DDz6InZ0dK1asSFtnKDduxpndNGVZjbS56dSpU2lpatasmfZ4jx49AJg4cWKuYunSpQsAP/30EwkJCRn2f/311wC0adMm0ynutmzZwr59+zI8/ssvv5CQkICfn1+6jrdevXoB8OWXX+YqvqKkzp48mDZtGgAdO3akevXq+S7v1t7KatWq5bs8ERERERERERERkZLIZGWNk3crXKs+jJN3qzt26rZbeXh4UL9+fVJSUnj99dfTRrykpqby+eefM2/evLQp3SyhYsWKvPbaayQnJ9OlSxcCAwPT7TcMgx07dvD888+nm4nKy8sLV1dXrly5kuXImEaNGvH888+zfft2zGZzun0bNmygZ8+eGIZBo0aNaNKkSdq+ESNG4O7uzt9//83QoUMJDw9P22c2m1mxYgXLli1Le6x///5UqVKF0NBQhgwZkraGD8Bvv/3GDz/8AMA777yTaZw2NjYMGTKE8+fPpz22adMmPvjgAwCGDx+ebiTT22+/jaenJzNnzuSNN94gIiIiXXlhYWH88ssvfPLJJ5kerzCpsyeXNm3axPHjxwF4+umnc0x/68JXmQkLC2Ps2LHAjUW2bn2Bi4iIiIiIiIiIiMidb9y4cZhMJn744QcqVKhAixYt8PHx4Z133mHUqFFUqFDBosf79NNPeeKJJzh79iwdO3akQoUK3HXXXTRu3Bh3d3fuuusupk6dmtbxBDemcevTpw8ATZs2pUWLFtxzzz3cc889aWkSEhKYOnUqrVq1wsPDg0aNGtGsWTPKly9Phw4dOHToEL6+vsydOzddZ0qVKlVYuHAhrq6u/PLLL3h7e9O4cWMaNmyIm5sbDz74YNoaP3Bj/Z/58+fj7u7OvHnz8PHxoUWLFlSpUoWBAweSkpLCe++9R9euXTOt/7BhwwgLC6NGjRo0adKEOnXq0K5dO8LDw+nevTsvvPBCuvS+vr4sXbqUcuXKMXnyZMqXL0/Dhg1p1aoV/v7+lCtXjqFDh+Z5aryCUCo6e8LDw7l27VradrNnMS4uLt3jt/YC/tfPP/8MgKenZ9rQrez89ttv9OrViz/++CPdELb4+HgWL15Mq1at0npHJ0yYgJVVqWgKEREREREREREREfl/3bt3Z+XKldx9993Ex8dz/PhxatSowW+//cZHH31k8ePZ2Ngwa9Ysli9fnjaF2t69ewkJCaFWrVq89NJLBAYGpq1bc9NXX33Fq6++io+PD/v372f9+vWsX78+bf/Bgwf54Ycf6NWrF1WqVOHChQscOHAAs9lMu3btGD9+PEeOHKFOnToZYrr//vs5dOgQL730En5+fhw7doygoCD8/f0ZMWIEAwcOTJf+rrvuYv/+/QwbNoxy5cpx4MABYmJi6Ny5M8uXL+fjjz/Osv7lypVjx44dDBo0iNDQUM6ePUvt2rX5/PPPWbRoUabf07dp04YjR44watQo6tWrx9mzZzlw4ABWVlY88MADTJkyha+++iovzVAgTEZOQ1DuAFWrVk03LCsrgwcPZsaMGRkej46OxsfHh7i4OF555ZVcNdyMGTN48skn0/53dnbGwcGBiIiItEW17O3tmTRpUobewty4ePEilStXJigoKG0RKxERkeIgv79mCQgIsFAkIlJcWOJXbv+9NuhaIyIiIvml79dESo/Ro0czZswYPvzwQ0aPHl3U4RQIm6IOoCSYM2cOcXFxQO6mcIMb6/p8+umnbN26laNHj3L9+nUiIyNxc3OjRo0a3HvvvQwbNkxr9YiIiIiIiIiIiIiISL6Uis6ec+fO5Sv/s88+y7PPPpunPH5+fowcOTJfxxUREREREREREREREcmJFooREREREREREREREREpwdTZIyIiIiIiIiIiIiIiUoKVimncRERERERERERERESkdBo9ejSjR48u6jAKlEb2iIiIiIiIiIiIiIiIlGDq7BERERERERERERERESnB1NkjIiIiIiIiIiIiIiJSgqmzR0REREREREREREREpARTZ4+IiIiIiIiIiIiIiEgJps4eERERERERERERERGREkydPSIiIiIiIiIiIiIiIiWYOntERERERERERERERERKMHX2iIiIiIiIiIiIiIiIlGDq7BERERERERERERERESnB1NkjIiIiIiIiIiIiIlIKzZgxA5PJxJAhQ4o0jtGjR2MymRg9enSRxlGSqbNHREREREREREREpJCkpKSwevVq5syZg9lsLupwJJ8uXLjAG2+8QUBAAM7Ozjg6OlKlShXuvvtuRowYwerVq4sstoiICEaPHs2XX35ZZDEUtISEBBYtWsTTTz+d1gYODg7UqFGD559/nlOnThV1iIVGnT0iIiIiIiIiIiIi+RAYGMjFixezTZOSksLUqVPx8/Pj119/xcvLC5PJVEgRSkFYt24dAQEBTJ48mWPHjlG+fHkaNmyIvb0927ZtY8KECQwYMKDI4ouIiGDMmDHZdva4u7tTu3ZtKlSoUHiBWdCnn37Ko48+yrRp0zh9+jT+/v74+/tz4cIFpk6dSqNGjVi2bFlRh1kobIo6ALGcxCQzgXviWLM9lqvhqVhbQRUfWx5q60KzOg5YWenmUdgSksz8uyuOv7fHci3yRpv4VbCleztXmta21w09F67FXmPBoQWsObmGiIQIHG0caV6pOQMaD6C2V+2iDk9KAcMw2BW8i9n7Z3P0ylGSUpMo71Keh+s8zMP1HsbFzqWoQ7S4uAQzf++IZd3OOMKiUrGxMVHT15bu7VwI8Ne1qyiERkbyxer5BF5YQbw5DCtsqeBYm2fuGsijzVtiZaXf7xS2mDgza7bH8u/uWCKizdjamKjtZ8fD7VyoU9VO54kIEBWbyqqtsWzYG0dkjBk7WxN1q9rxcHtXalWxy3N5iSmJLD++nEWHFxESHYKNyQb/sv70a9iPtlXbYmXStVBE8i8sKpWVW2LYtD+e6DgzDnYmGvjb83B7F6pVzPu1y9JSzCmsPb2WBQcXcD7iPAC+br70adCHTjU6YWttW8QRlj4JCQm0adOGPXv2sHbtWnx9fTNNd/r0afr27UtSUhLLly+ncePGhRtoMZeUbBC4J47N++OIiTfj4mhFm0ZO3NPUCTvb4vneOioqiscee4zo6GgefPBBvvvuO/z8/NL2R0REsGTJEubPn1+EUeasZ8+e9OzZs6jDuG2GYdCxY0deffVVHnjgAezt7QEIDQ3lqaeeYsWKFfTv35+TJ0/i4+NTxNEWLJNhGEZRByF5d/HiRSpXrkxQUBC+vr5sPhDHF7PCiIo106yOA9Ur2ZJqhn3HEzhzKRm/CraMeaYcVXx00y8sG/bGMfH3MGLizTSv60DVCjfaZM+xBM6FJFO9oi2jny2Hb3m1SWYMw+Dbrd8yZfsUTCYTnWp0ooJrBWKSYvjn1D9cjb3K/f73M6HbBFztXYs6XLlDXYq6xItLX+TA5QNULVOV9lXbY2dtx5mwMwSeDcTJ1okP7/uQXvV7FXWoFrN6WwzfzA8nIdHgrgBHKnvbkJxisONwAsFXU6hT1Y7RT5ejvGfWvxc5dOhQvmIICAjIV/47zahFvzL/1HjMpkR8bdpS0cWPxNREjkVtJtEqGA8jgN8en0LdSpWKOtRSY8mGaH5YFEFyikGrBo74etmQkGyw41A8IddTaVDDng+HlsPT3bqoQy028ntdgIzXBl1rii/DMFiwNppf/orEMAxaN3CkQlkbEpIMth6M50p4Ks3qOPDeU2Vxd8ndebLu9DreXvU2YfFhtPFrQx2vOpgNM1svbOXY1WP4e/oz5ZEp1Chbo4BrJyJ3KsMwmLk8ktmro7CyMtG2kSNeHtbEJRhsOhBHeJSZNg0deWdwWZwdi6ZzeX/Ifl7+62WCo4JpUqEJTSo2wYSJfZf3sTt4Nz4uPnz50Je08G1RJPGVRP/9fu12jBo1irFjxwKwbds27rrrrgxptm7dSteuXWnfvj2zZ8/GxeXO+9Fgfmw+EMeE38KIjDHTwN+ech7WXItI5eDpRNxdrBjxhCd3N3Qq6jAzmDt3Lv3798fNzY2QkBCcnIpfjOfOnaNatWr4+flx7ty5og4nW6NHj2bMmDF8+OGHeVq35/r165QtWzbTfdHR0dSoUYMrV64wadIkXn/9dQtFWzxpZM8dYMPeOD76+RqtGzryXE8PKt3SeWAYBodOJzJ5TjivTAzl6+HeVPFW50JB+3dXLJ9Mv067xo4827MMFcv971QzDIMDJxOZNCeMVyaE8s0Ibyp5qU3+a1zgOKbtnsYLrV5gaLOheDh6pO378N4PWXliJR/88wGDFgzi976/42RX/G6oUrJdjr5M3zl9sTZZM6P3DNr4tUn3i+FLUZeYtGkSI1aOICk1iX4N+xVhtJbx18ZoJs8Jp0srZ558yD1dh47ZbLD7WAKTZofxyqRQvh3uTTkPvY0oaG/M+5ElQZ9T1/kRPu/xJvVv6dBJSU1l2sa1TN7+AY/+/hhLBv1BTR/vIoy2dJj/TxRTF0XQvZ0Lg7q5U/aWDp3UPjc6RifNDuPVSaF8M9wbD1d1+EjpM2tlFDOWRdL7Xlf6d3GjzC3nwUt9DDYfiOfLOWG8PvkKX7/pjYtT9l+arjm5hheXvsi91e/lnXveoVqZamn7DMNg96XdvP/3+zw25zHm95+Pf1n/AqubiNy5pvwRwR/ronmiqxu973XFzfmWa1ffMqzfE8dXc8N465srTHytPA52hdvhsy9kH0/Me4I65esw5ZEpBHin/9HC8avHGbNuDIMWDGJm75m0rNyyUOMrrQ4dOsQ///yDo6Mj8fHxODg4ZJqmW7du+Pv7M2/ePBwdHYsg0uJr84E4PvzhGq0bOPJsTw8q3/K9ZVBoMj/+GcEHP1xjzLBytClmHT5nzpwBoFatWnnu6DEMg3nz5jFt2jT27NlDTEwMlSpV4qGHHmLkyJEZRqAEBgbSsWNHOnTowLp16/jmm2/46aefOHXqFO7u7jz00EN89tlneHl5peUZMmQIM2fOBOD8+fMZZh+4OQZkxowZPPnkkwwePJgZM2bk65i3CgsLY+LEiSxZsoSzZ89iZWVF/fr1GTp0KEOHDrXYDBVZdfQAuLq60qpVK5YuXcqJEycscrziTN/SlHDRcWbGzbhO+yZOvPdUWUiN4/rB74k8NYfU+CtYO5anYo3+THr5SV77Kpqx06/z/dveRTa1iDk5lvBj09LF516jP2XqDMXK1rnIy7OEsMhUPvv1Ovc1d+KdwWUzTJ9nMploVMuBr9/05uUJoYybcZ1vR+R+CGFxrLOlbTi7gWm7p/HBvR8wuOlgzMmxXD/4dbo6t6nRn1m9fuLxhU8xefNkRnUclevyi/vrsLiXVxJitER5765+FwODef3nUd7BlfBD32Yo7/P7R+Ns58wHf39A6yqt8fPwy7ngApLfOl+8ksxX88J5pIMLr/Qtg5ESx/WDU9KVV71Gf758dQgvT45m4u9hjHuxfCHUrPQKPHaUJRfG08z9ceY+PQZS4zNcC3vX6E/L3jPo98dAnp77Lutf+yXX5ZeG+8l/5bfOpy8mMXVRBP06u/FsD48M+62tTLRu4MhXb3rz8heX+XpeOB88Xa7Q4pPSpzje4w+fSWTGskie7O7OwK7u//8+Ln159Wv0Z+LLg3ntq2i+/yOcEQOz/oAeER/BmyvepHONznzd/WusrdJ3oJpMJppXas7cfnN5bM5jvLb8NZYOXHrHTKVYHNu4MGKU/CnubVwcXzPbDsXzx7poXnmsDD06uGZ67WpSoz/jXxzMm99EMf2vSJ5/tEyuy89vnZNTk3lp6UvUKV+HWX1m4WibsbOgtldtpj86naGLhvLSXy+x8dmN2NvYF0p8BV1eQbgZ47X9v952GYZh8MILLzB16lTatWsHgLV1+vtUSkoKTzzxBDExMSxYsEAdPf+RlGww4bcwWjdwZPSz5bD+z3dolb1vzIoz+sdrTPgtjBafOharKd3c3NwAOHnyJBEREXh4eOQqX3JyMgMGDGDBggUAVKxYkcqVK3Py5Em++eYbFi5cSGBgILVq1co0/8CBA5k9ezY1a9akRo0aHD9+nF9++YXt27eze/futGnMatWqRfPmzdm1axf29vY0b978tuua22PedPjwYbp06UJwcDB2dnbUqFGDxMREduzYwfbt21mzZg3z588vlPdsCQkJAKXi/NOkxiVc4N5kzIbBq/3KQGocF//pR9jBr0iNvwyYSY2/TNjBr4ja+jjP9XDkxIUkjp5LKpJYzcmxWcZ38Z9+mJNji7Q8S1m+JQYrk4lXHvPMdp0kdxdrhvX04MjZJE5cyF2bFNc6W9qve3+lvnd9BjUZlG2d3Q98xMBG/VlwaAFxSXG5Kru4vw6Le3klIUZLlHc2/Cwbzm1geNvhlHdwzbK84LX9ebvNK7jYuzBn/5w8xWlJlqjzXxtjcHG04vleNzp6siovcdcAnuzmwPbDCQRfTS7wupVmXwf+io3hwfTB70FqfJZtUvbECHpWG8bF5I3sO38+V2WXlvvJrSxR5yUbYijrbs3Q7u7ZpqtYzoYnurqzYV8c1yJSCi0+KV2K6z1+8fpoKnnZMKCLW7blWR96gr73OrB2VxyRMalZlrfw0EJSzCmMuX9Mho6eW7k7uDOq4yiOXDnC7ku781z34qi4tnFBxyj5U9zbuLi+Zhavj6Z2Fbu0jp6sYnQ+8QSPtLNn5ZYYEpLMuSrbEnVed3odIdEhfHT/R5l29Nxkb2PPR/d/xPW466w8sbLQ4ivI8grCrTEaCVdvu5yffvqJli1b0qRJk7THbGzS/67+hx9+YP/+/Tz22GNUr179to91pwrcc2Ndv2d7emTo6LnJ2srEMz09iIwxs35P7r77KSydO3fGysqKyMhI7r//fv744w8iIyNzzPfBBx+wYMECmjRpwt69ewkODmbfvn1cu3aNF154gZCQEAYMGJBp3i1bthAYGMj27ds5ceIEhw4d4vDhw/j6+nL48GGmT5+elnbkyJFpHUo+Pj5s2rQp3ZZbeTkmQGxsLI888gjBwcG88sorXL16lcOHD3Pq1CkOHTpE/fr1WbhwIVOmTMl1DLcrNDSU9evXA9CmTZsCP15RU2dPCRe4J4l7mjrh7mJN+LFpJIYfAf77hsNMYvgR/E2zqFDOhuWbYooi1BzjCz82rUjLs5QVm2O4r4VTjtNRALQKcKR8GWuWb85dmxSnOptT4iyy/dfl6MsEnglkQKMBmEymHOvc1clMTGJMpm9k4xPNGbaQgzOIunaGxFQ7ElMdbtnsiLp2hpCDMzLkyU5xf10XxGsmP2WWlDZZeHAhZRzL0K12txzLiz/1O70DerPg4AJSzVl/WVWQ8lvn1FSDVVtj6draGTvbnM+7Rs5zcHWyYuWWjB/UzClxYE7I15bZtaG0iU1M5GDUMlqW7YmzvX2ObfKUXzRWhiNfrZubq/Lz85opqOt/QcvveZKYZOafHbE81NYFa+ucf33W6a4b59Pqbbn7QiM/8cUlxVlkK0niE80kJpOvLaf7SXFX3O7xADFxN76E6d7OBSurnO8nrcstxDAM1u7M+Pq7ea2Yd2AuXWrcj6e9U47XldaVmlDVw4+5+34vsmuNJeW3PUrK+y5LKQn3p8za5Ha27BT3zxPF8T3I1fAUdh5J4OH2LrmKsZ3PUmITDDbsjS/wOt807+A8mlRsQr3y9XJMW92zOm382jDvwLxCi8+S5RXteZJ7169fZ8qUKRnWFfnvtFTfffcdAEOHDr3tY93JNu+Po4G/fbqp2zJTxduWAH97Nu0vXvf2WrVq8fHHHwOwe/duevfuTZkyZahTpw5PPvkk8+bNIzExMV2eq1evMnnyZNzc3Fi6dCmNGzdO2+fo6Mg333xDixYt2LVrFxs3bsxwzOTkZL755htatvzfVI21atXirbfeAmDlytx19OZFXo/5yy+/cPr0aXr27MlXX32VNgIKoF69esyePRuTycSkSZMsHut/vfHGGyQmJlKrVi0eeeSRAj9eUdM0biVcaJiZAP8bw+QiT80h6xuVmejTc6hX7XGCr+buF6aWllN8kafmULbBK0VWniWkpBqEhqVS3z93Q6WtrU3UrWbPpVy2SXGq8+n59S1STs3Hz6b7PygyCAODZpWaATnX2Tl4OT6uPpyPyPhr9gdfv5hJnu7/v2VhK0D6fOumVMkyeXF/XRfEayY/ZZaUNjkXfo4A7wDsbewJzkV5zeqPZtquaUQmROLp5Jlt2QUhv3WOijMTHZf7+0nCud+pWblPpveT0/Prk7srYNZOH8p4bShtzl29itkqjrb+NxbXzalNbILn42FVg+DoC7kqPz+vmYK6/he0/J4n16PMJCQZaedJTlwcrahWwTbX77vyE1+Drxvk6hg5OT38tEXKKQw37iduOabL3sVs7yfFXXG7xwOEhqWQkkqu7ycEz8S3/COZjhQ9Pb8+hgHnw010NZ/m9PxluapDjUQTx0+f4/T8xUDJvp/ktz1KyvsuSykJ96fM2yTvSuvnk4Jq40tXUzCM3F+7HK5Mw9OtK5dyOcrdUp9POtfsnKvjATSt2JT5B+cXWnyWLK+ozpPo6GiioqLS/re3t88wLdWt3nrrLd577z1cXFzSPX5rZ8+RI0c4evQoAI0aNWLmzJn88MMPHD16FDs7Ozp06MCYMWOoW7duXqp2R4mJN1POI3drXJZztyYytmh+YJmdkSNH0rp1ayZMmMA///xDUlISx48f5/jx48yYMYMqVaowc+ZM7rnnHgBWrFhBYmIiDz/8ML6+vhnKs7Ky4qGHHmLnzp2sX78+bYrAm8qUKUOvXr0y5GvR4sZnx5vrCFlSXo+5aNEiAJ5++ulMy2vYsCFVq1blzJkzXLx4MdPnwRK+//57Zs+ejbW1NTNmzMgw8u5OdOfX8A5nQNrchqnxV7JNmxp/BdP/5ykKuYmvKMuzhP9f14y8zDZp4n8LouWkONbZ0m4+Fyby8rquiFFEr+zi/rouiNdMcX8dWiK+W19PuSrPlDFfYcpvndMuQabcl2cymXJ97ZK8M5vTP7e5a+PcXwuL+3lcEPJ/nty8P+WeyXTL+ZWD0tgmkj/F+R5/8zzJ9eeTbM4Tg7ydd2mZ7gAl4bpQEmIsbYr754ni+Jr57yUjd++FC/cen9fPGSZy/169NLRxbmKoVy/9qKkPP/www6idm7Zv386FCxfo3bt3hn23rtmzdetWAFxcXBg4cCBNmzZl8uTJXL16lc8++4wFCxawcuVKtm/fnuH4pYWLoxXXInLXgXMtMpUyrsVzkqqOHTvSsWNH4uPj2bVrF9u3b2fFihUEBgZy4cIFunXrxp49e6hTpw4HDx4EYNu2bbRt2zbT8kJDQwEIDg7OsM/f3z/TPOXL31hTNybG8jM65fWYN+v4wQcfMHbs2EzzXrt2DbhRx4Lo7Fm2bBmvvHKjY/m7776jdevWFj9GcaTOnhKunLsVx84n3phSxLH8/8+Hmjkrh/IcP5lEHT+7Qozwf3KKz9oxbwt9W7o8S7C1MVHW3Zrj55N4IBfXELPZ4PiFJJrUyuVIoGJUZ/++hwukXF/3Gxf4A5cP4F/WP8c6h9uWJTQmFF+3jDeG5ZMzPnbur3tJjQ/NsjxrR2+qdl+X63iL++u6IF4z+SmzpLSJr7svS44sISk1KVflHbx8EBc7F9wdsl/Ho6Dkt87uzlY4OZg4fj6JNg2dcizPbF+R0xeT6Nwq4+Kq/n0Pc+TIkdwHn4nS+kHnVtW8vDCZHdhxfj/D6Jxjm8TZVCTSfIY6zk1zVX5+XjMFdf0vaPk9TzzdrLG1gWPnE2laxyHH48UnmjkfkkyLerlbBDQ/8R185WCujnEnWT7Zt9Rfa4rbPR6gnIc1VlZw7HwSdavZ51hegk01gq+mZHk/AfCd3o2QSs3w7/xxjvEbhsH533pRp1wt/Lt+nmP64i6/7VFS3ndZSkm4P2XWJpZW3D9PFMf3ID5lb3w1dvx8EpW9bXOMMdJUh7DI1LR8ObHEc1jZvTIHLh/I1fHgxufpSu6VCi0+S5ZXVOfJkSNHqFTpf89ZVqN6DMPgjTfe4Icffsh0/62LzZ86dQqA+Ph4Ro4cmW69kE6dOtG6dWv27t3LqFGj+PPPP2+7PiVZm0ZOfDbzOkGhydlO5XYhNJlDpxN5d3DZQowu7xwdHWnXrh3t2rVj+PDhbNq0iQceeIDY2FgmTpzITz/9lLamT1BQEEFBQdmWFx+fcbpIZ+eM75vgf6PKCuJHmXk95s067t6d8zqKmdXxVnv37uXll1/O8Hi3bt0YOXJkpnk2bNhA3759SUlJYezYsQwbNizHOO4UxbM7VHKtQxM71u2MIybOjHuN/mTdpFYEOb5MUGgK3e52ySJNwcopvhv7i648S+l6tzN/74glLiHnuV93HU0g5FoKD7TOXZsUpzpb2ThZZPuvim4VaePXht/3/w7kXOe1NjWwt7GnW+1uGfY62ltl2MrX7oW9dRL21gmZbEmUr90rQ57sFPfXdUG8ZvJTZklpk94BvbkWd42/T/6dY3mO1fsw/+B8etXvhY1V0fyGIr91trY20amlM8s3x5CcYuRY3jHTa0TEmOmaybXLysYJrBzytWV2bShtXBwdqOPchc2hf5CYnJxjm8yNbUeqVRQvdXgsV+Xn5zVTUNf/gpbf88TR3op7mzuzbFMMqeacP0Ct3RlHXKJBl0y+xLZ0fE52ThbZShJHeyvsbcnXltP9pLgrbvd4AHcXa9o2cmTpxhgMI+f7yZ6k10k1G9zfMuN5cvNa0adBX5adWEl0SnKO15Vdlw9x8vop+jTsV2TXGkuyxHWrJLzvspSScH/KrE1uZ8tOcf88URzfg/iUtaFxLXuWbozJVYzb417F3s5Eh6a5e71Y6vPJ9qDtnLp+Kse0QRFBrD+7nr4N+hZafJYsr6jOE1dXV9zc3NK2rDp7fv31Vxo2bEhAQEC2xwAIDw8HoF27dhkWhre3t+ftt98GYNWqVaSmFr/pyQrDjXXIrfjxz4gs32Onmg1++jMCdxerXJ93xUXbtm154YUXANixYwdA2tR/o0aNwjCMbLcZM2YUVej5crOOJ0+ezLGON6e3y0pkZCSbN2/OsJ04cSLT9Lt376Z79+7Ex8fz1ltv8e6771q6esVayf6EI3Rsakuq2WDqn+F41H4K+zL1yNisVhiuTZi9twNVK9jSsGZ+V1O4PWXqDM0yPvsy9ShTJ2+L1Vm6PEt5qI0LiUkGP/4ZkW1vemy8mR8XR1DD15b61XM32qq41tnSnmj8BHsv7WXR4UXZ1jnUyZ/5F4/Qo14PXO1dc1V2cX8dFvfySkKMliivVrla3FX5LiZumojh1yvb8n4LTyAsLowBjQfkKU5LskSdH27vQniUmV+XR2ZbXpJTCxbsu4smte3xq5D9IpqSPy+3G0yy1VWe/31ytm1y2a4pS66sx8eqFXfVqJGrskvL/eRWlqjzI+1duHw9lXlrorJNdy0ihVkrImndwDHXv/otjW0i+VNc7/GPtHflfEgyfwbGZFtelH1blhxoSPsmTni6ZT1Xf98GfTEMg7GBY7N9bx2XFMe4wHH4e/pzd5W7c4yzJCiubVzQMUr+FPc2Lq6vmR4dXDl0OpG/t8dmG+N1m46sOlKXzq2ccXLI3Vdqlqhzl5pdKOdUjo/WfURyatZrBaWaU/n4349xc3Cje51s1ueycHwFWV5ByDrG7MXHxzNu3DjGjBmTq/Q371tZTVHVoUMHABISEtKmtCpt7GxNjHjCk60H4xn94zWCQtO/vi+EJjP6x2tsPRjPiCc8sbPN8+SuRa569eoAJCUlAf8bXX7o0KFCOf6to80KiyXreM899+S6I+zo0aM88MADREVFMWzYMD7/vOSP9M4rdfaUcGVcrXi9vycrNscyYW4izi1n49ngVawdfQArrB19iK30Hl8e+Zrgq2ZGDilbJCc5gJWtM773z80Qn2eDV/G9fy5Wtrn75WtBlWcp5T1teLWfJ0s3xjBxdhjh0Rl/nXEmOIk3vgwlNCyFd/PQJsW1zpbWqUYn+jboy9ur3uaXfXMo22F6ujqbHLw57vMIbwSH4+3iw4h2I3JddnF/HRb38kpCjJYqb1yXcUQnRvPEH08T3uD9DOVZ1x7GDNsmTN01jbc7vE2Nsrn7kr0gWKLO1Sra8WwPD35fHcXUJUm4353xfhLu/SFf7J9IfCK8OaB4D5+/E3Rp2IiO5V9g/bUfGDDjC6ybTU1/LbT3Zrvz0zx35ipmUzJTeo/Lddml5X5yK0vUuU5VewZ2dePnpZFMWxJBTHz6UbyGYXDodCKvTrqCAbz6WJlCjU9Kl+J6j29S24He97ry7YJwfv87hbLt5qQrz8rBhxDPjxm/+1McHax5sU/250k553KM7TyWhYcWMmLlCK7GXs2Q5uS1kwxaMIgzYWeY/ODkIvu8Y2nFtY0LOkbJn+LexsX1NdOusSNdWjnz+azr/LEhFa/26a9dJocKnHf7lPG7PsS7jA1DH/bIddmWqLO9jT2TH5rMjqAdPPPnM1yIuJAhTXBkMC8seYHAM4FM7DYRR9vcTSVbWto4qxhNDl65zvfll19y/PhxvL29MZlM6bbY2FgAqlWrhslkolGjRpQrVw6A5OTMO+jKlv3fZ6qbIyFKo7sbOjFmWDkOnUlk8JgQXpkYykc/X+OViaEMGRPCoTOJfDSsHHc3LH6jeq5du5bjtGlbtmwBoGbNmgA8+OCD2NnZsWLFCk6ePFngMTo63rgW5DRdmiX16tULgK+//rrQ1vo9d+4cnTp14tq1azz++ONMmTKlUI5b3JgMra5cIl28eJHKlSsTFBSEr68va7bHMnl2GKlmg7aNnPD3tSXVDHuPJ7D/ZCJeHtZ8/JwXtaoUzXo9pdHKLTF8NS8cwzBo19iJahVtSUmFPccSOHg6EW9Paz4e5kWNymqTzKSaUxkbOJaZe2bi5uDGQ7UfoqJbRWKSYlh1YhVnw8/SwrcF3z38HWWd9KWzFIwzYWd49s9nORt+lkY+jehQrQN2Nnacvn6aFSdWYDabebvD2zzZ7MmiDtViFq6L4sc/I7C2ujE1RRVvG5JSDLYfTvj/ecxt+OQ5r2znU87vr3dyMyVCaWE2m3l5znesuvQNJsOWmk73U8W9Kokpiey7toFo03GczFWZ9uiPtMxi0UyxLMMwmL06iunLIrGzNdGxqROVvGxITDbYejCeUxeTqV7Rlk+e98r1qJ7SwBK/6vvvtUHXmuLLbDaYviySOaujcLA30bGZExXK2hCfZLDlQDxnLyVTu4odHz1XDi+P3J0nS44sYdSaUSSbk+lcozN1ytfBbDazNWgr24O24+Piw/c9vqehT8MCrp2I3KlSzQbfLwxnUWAMrk5W3NvcCa8y1sTGG2zcF8fFKyk0rGHPmGfL4e6S9YjEgrT5/GZeXfYqEfERtK/WniYVm2DCxIHLB/j3zL+42Lkw6cFJdKzesUjiK4n++/1adoYOHcrmzZsz3Xf8+HHgxigOW1tb6tatS79+/ejXrx9t2rRh06ZNGfJcu3YNLy8vvL29uXw563WOSoukZIP1e+LYtD+OmHgzLo5WtG3kRIemTsV2RM+XX37J9OnTeemll+jVq1e6DryIiAgmTZrEJ598gmEYLFq0iJ49ewLw9ttvM378eKpVq8Yvv/ySbiozwzDYuXMn06dPZ8SIEWkjgwIDA+nYsSMdOnQgMDAwQyznzp2jWrVq+Pn5ce7cuXTlubu7Ex0dzZEjR6hbt26GvDNmzODJJ59k8ODB6UbM3O4xY2JiaNSoEWfOnKF///5MnDiRChUqpNu/YsUKtm3bxqRJk9IeHz16NGPGjOHDDz9k9OjRWTzrGYWGhtK2bVtOnTrFww8/zB9//IGNTen8LFY6a30H6nyXM60bOLJ6Wwxrtsey70QC1tYmqvjY8MHQsrRp5IStTfG8MN6put7tQptGjqzeFsua7bHsPpaAjbWJqhVs+fDpcrRp5IiNtdokK9ZW1rx/7/sMbjqYOfvnsObUGiITInGwcaBZpWaM6zKO5pWa3zG/3JTiqbpndVY/uZp/z/zL7P2zmXdwHsmpyZRzLscrrV+hd0BvyjmXK+owLar3vW7c29yZVVtiWLsrju2H47GxNlHD15ZPn/eiZX0HrK103hUWKysrvhvwMidC+jD+79/ZfnkFp+M2YoUdXja1eK7JqzzV7j7sSukb2aJgMpkY8IA7XVo5s2JLLP/uimXzgXjsbE3UqmLH04940LyuA1Y6T6QUs7IyMfRhD7q3dWHZ5hjW74lj47547G1N1Klqx4u9y9Cktn2e3sc9Uu8ROlbvyKIji1h0eBHbgrZhY2VDdc/qfPnQl3Sp2QU7a/2ISkRun7WViZf6etKzoyvLNsawaX880XFmHOxMBPjbM+IJTwL883btsrQ2fm3Y+OxGlh9bzryD8/ht728YGFR2r8zHnT6me53uONsV/ciZO9W0adMyfdwwjLSF6teuXUvVqlWBG2v22NnZsW/fPhISEnBwcEiXb9euXQA88cQTBRd0CWJna6LTXc50uqvkvIZNJhMHDhzg2Wef5dlnn6VatWp4eXkRHh7O+fPn06ZuGz58eFpHD8Cnn37KpUuX+O233+jYsSM+Pj5UqVKFxMREzpw5Q3R0NACvvvqqRWLs06cPv/zyC02bNiUgIABn5xvPcWYdOJbg4uLC8uXL6datG3PmzGHevHnUrl0bNzc3wsPDOX36NKmpqdx1110WOd4HH3zAqVM31jS7dOlSlusAdevWjZEjR1rkmMWVvhm4g7g6WdH7Xjd63+tW1KHI/3NztqbPfW70uU9tcruqeFTh7Q5v83aHt4s6FCmlrK2sub/G/dxf4/6iDqXQeLpZ8/gD7jz+gHtRhyL/r1YFH34e9CbwZlGHIv+vnIcNg7q5M6ibzhORrJT3tOGp7h481d3DIuW5ObgxpOkQhjQdYpHyREQyU8nLlmG9yjCsV+6nYy1MjraO9G7Qm94Nehd1KPL/YmJi0v5OSUlJ+7tMmTIMHTqU77//nlmzZvHMM8+ky/fLL79Qvnx5hg8fXmiximW98MILNGzYkJUrV7J582YuXrzIvn37sLGxwc/Pj9atW/PMM8/Qtm3bdPlsbGyYNWsW/fv356effmLbtm3s3buXMmXKUKtWLVq3bk3v3r2pVauWReL86quvcHV1ZcmSJezfvz/LqQUtqU6dOuzfv58pU6bw559/cvToUc6cOUOFChXo0KED3bp149FHH7XIsRITE9P+vtmJmpkauVzjtiTTNG4lVF6GmYqIiBQmTa0kIv+ladxERESkOLLE92s7d+6kZcuWACxbtowHH3wwbV9kZCRt27bl/PnzLFiwgC5dupCcnMwXX3zBxIkTWb58Oa1atbJIXURENLJHREREREREREREJJcSEhJo2rQpcXFxXLp0Ke3xhx9+mAoVKhAQEMCqVatwd3dny5YtjBkzhmHDhpGUlISbmxvt27dn7969VKlSpQhrISJ3GnX2iIiIiIiIiIiIiOSSg4MDR44cyVVaV1dXJkyYwIQJEwo4KhEp7ayKOgARERERERERERERERG5fersERERERERERERERERKcHU2SMiIiIiIiIiIiIiIlKCqbNHRERERERERERERESkBLvjO3vi4uJYuXIln3zyCb169cLPzw+TyYTJZGL06NHZ5h09enRa2uy2U6dOZVvO6dOnGTZsGNWqVcPBwYHy5cvTpUsX/vjjDwvWVERERERERERERERESiObog6goO3YsYNu3brlqwxbW1s8PT2z3G9jk/XTuGLFCvr06UNcXBwAbm5uXL9+nTVr1rBmzRqefPJJpk2bhslkyleMIiIiIiIiIiIiIiJSOt3xI3sAypQpw3333ceIESOYM2cOPj4+ecp/9913c/ny5Sy3qlWrZprv7Nmz9O3bl7i4ONq0acPx48eJjIwkMjKSDz74AIDp06fzxRdf5LeKIiIiIiIiIiIiIiJSSt3xI3vatWtHWFhYusfeeeedQjn2Bx98QGxsLD4+PixbtgwPDw8AXFxcGDNmDJcvX+bHH3/k008/5ZlnnqFMmTKFEpeIiIiIiIiIiIiIiNw57viRPdbW1kVy3NjY2LQ1eZ5//vm0jp5bvfvuuwBERUWxePHiQoxORERERERERERERETuFHf8yJ6ismnTJuLj4wHo2rVrpmmqVq1K3bp1OXr0aNr6PSIiIiIieXXo0KF85Q8ICLBQJCIiIiIiIlIU7viRPZZw+PBhAgICcHR0xMXFhdq1a/PMM8+wd+/eLPPc+oG7fv36Waa7+cH68OHD2caQmJhIVFRU2hYdHZ3HWoiIiIiIiIiIiIiIyJ1InT25cO3aNY4ePYqTkxOJiYmcOHGCn3/+mWbNmvHee+9lmufSpUsAlClTBicnpyzLrlSpUrr0WRk3bhzu7u5pW7169W6zNiIiIiIiIiIiIiIicidRZ082atasyfjx4zl+/DgJCQlcv36d2NhYVq9eTbNmzTAMg08//ZSJEydmyHtz5E12HT237s9ppM67775LZGRk2nbkyJHbrJWIiIiIiIiIiIiIiNxJtGZPNgYMGJDhMTs7Ozp37kz79u1p3749O3fuZPTo0Tz99NO4u7sXWCz29vbY29un/R8VFVVgxxIRERERERERERGRO5PJZALAMIwijkQsSZ09t8nBwYGxY8fSqVMnYmJiWLt2Lb169Urb7+rqCkBcXFy25dzcfzO9iIiISHF369qEt+PmmoUiIiIiIiIlVdWqVTl//jzTp09nyJAhRR1OibF48WL27dtHjx49aNy4cVGHc0fRNG750Lp167S/z5w5k25fxYoVAQgPD8+2wyc4ODhdehERERERERERERGRO9HixYsZM2YM+/btK+pQ7jjq7Ckgt/5i9fDhw1mmu/nL2Pr16xd4TCIiIiIiIiIiIiIicufRNG75sG3btrS/q1Wrlm5f27ZtcXR0JD4+nlWrVtGiRYsM+c+fP8/Ro0cB6Ny5c8EGKyIiIiIiIiIiIlIMJaYksuL4Cv4+9TdRiVG42bvRqUYnutXuhr2Nfc4FiIhG9mQlp8WpEhMTGTVqFADOzs7cd9996fY7Ozvz6KOPAvD9998TGRmZoYzPP/8cuLFeT48ePSwQtYiIiIiIiIiIiEjJ8c+pf2j7Q1uGrxzO9bjreDp6cj3uOsNXDqftD21Ze3ptUYeYb5cvX+abb76hS5cuVK1aFQcHB8qUKUOHDh2YNWtWpnnOnTuHyWSiatWqAPz22280b94cJycnPD096dOnT4alRW514MABHnnkEcqUKYOLiwt33XUXc+fOzTbO8+fPM2zYMKpXr469vT2urq5Ur16dnj17ZsibmprKkiVLeOqpp6hfvz7u7u44OTlRt25d3nrrLa5du5ZpfWbOnAnAk08+iclkSttGjx6dw7MoOSkVI3vCw8NJTU1N+99sNgMQFxeX7kXn4OCAi4sLABs2bODjjz9myJAh3HPPPfj6+gKQnJzMhg0bePfdd9m5cycAH3zwAR4eHhmO+9FHH/Hnn38SEhJC9+7dmTZtGjVr1iQ2NpaJEycydepUAN577z3KlClTIHUXERERERERERERKY7+OfUPzy95nnv97+Wd9u9QzfN/syedDTvLZxs+47nFz/H9I99zf437izDS/Pn55595//33cXR0pGLFijRo0IArV66wYcMGNmzYwJYtW/j++++zzP/uu+/y2Wef4efnR61atTh27BgLFy5k8+bNHDhwgHLlyqVLv2HDBh544AHi4+Nxc3Ojbt26XLhwgf79+xMUFJTpMc6dO0eLFi24du0aTk5O1K5dG2tray5cuMDixYs5e/Ys/fr1S0sfEhJCjx49sLKywtvbmxo1ahAXF8e5c+f44osvWLBgAdu2bcPb2xu48d17mzZtOHnyJFeuXKFmzZqUL18+rbwqVark5ykWSsnIniZNmuDl5ZW23XxBf/HFF+kef+mll9LyGIbB2rVrGThwIJUrV8bJyQkvLy+cnZ25//772blzJ1ZWVowcOZK33nor0+NWq1aN+fPn4+TkxMaNG6lVqxYeHh64u7vz4YcfYhgGQ4YMYcSIEYXyPIiIiIiIiIiIiIgUB4kpiby7+l3u9b+XKQ9PSdfRA1DNsxpTHp7Cvf738u7qd0lMSSyiSPPvnnvuYd26dURHR3Pq1Cl27tzJ+fPn2b9/P3Xr1mXq1KmsX78+07zBwcFMmTKFFStWcO7cOfbt28e5c+do2LAhISEhTJgwIV362NhYBgwYQHx8PIMGDSIkJISdO3cSHBzMxIkT02ar+q+JEydy7do1Bg8eTGhoKAcOHGDv3r1cv36do0eP8sILL6RL7+rqyowZM7h69SqXLl1i9+7dHD16lJCQEF566SXOnTvHO++8k5bex8eHTZs20bVrVwBGjhzJpk2b0rannnoqP0+xUEo6e25HgwYNmDBhAo8++ii1atXC0dGRiIgIHB0dadSoES+99BL79u3j008/zbacbt26ceDAAZ555hmqVq1KfHw8Hh4edOrUiYULFzJ9+nRMJlMh1UpERERERERERESk6K04voKw+DDeaf8O1lbWmaaxtrLm7fZvExYfxsoTKws5Qstp27YtHTt2xNo6fT0bNmzIN998A8Dvv/+ead6UlBQ+/PDDtE4SuNFx8sknnwCwcmX652Xu3LlcvHiRSpUq8fPPP+Pk5ASAlZUVb7zxRrpybnXy5EkA3njjjbTZr26qU6cOzz77bLrH3N3dGTx4MJ6enuke9/Dw4JtvvqFy5crMnz+flJSUTI8nllcqpnE7d+5cnvOULVuWN9980yLH9/f358cff7RIWSIiIiIiIiIiIiIl3d+n/qZ5peYZRvT8V3XP6jSr1Iw1J9fQo16PwgmuAERHRzN37lw2bdpESEgI8fHxGIZBYuKNEUv79+/PMu/QoUMzPNaiRQuADOv2rF69Oi2Pra1thnwvvPACS5cuzfB45cqVAVi4cCENGjTI9QCFdevW8ddff3HixAmio6PTllCJjIwkLi6OkydPUrdu3VyVJflTKjp7RERERERERERERKT4iEqMwtvFO1dpvV28CY8PL+CICs7evXt56KGHuHTpUpZpwsLCMn28XLlyuLu7Z3j85no3MTEx6R4/ceIEQJYdLFk9/uKLLzJz5kw+/vhjfv31Vx544AHatWtHx44dqVixYob0SUlJPPbYYyxevDjLOkHW9RLL0zRuIiIiIiIiIiIiIlKo3OzdCI0JzVXa0JhQ3OzdCjiigpGamkrfvn25dOkS3bp1Y/369Vy7do2UlBQMw0ibPi05OTnT/M7Ozpk+bmWV+Vf7Nzt/vLy8Mt3v7Z15B1vjxo3ZsGEDnTt3Jjg4mB9++IEnnngCX19funTpwtGjR9Ol/+yzz1i8eDE+Pj78+uuvnDt3joSEBAzDwDAM2rRpk229xPLU2SMiIiIiIiIiIiIihapTjU7sCt7F2bCz2aY7E3aG3cG76VyzcyFFZlk7duzg1KlT+Pn5sWjRItq3b0/ZsmXT1u8JCgqy6PFurrdz9erVTPdfuXIly7ytWrVi9erVhIeHs2rVKt5++218fX1Zs2YNnTp1IiIiIi3tzTWGZsyYwcCBA/Hz88Pe3j5tv6XrJTlTZ4+IiIiIiIiIiIiIFKputbvh6ejJZxs+I9WcmmmaVHMqn2/4HE9HT7rW6lrIEVrGzfXkmzVrlq4z5Kbs1uq5HbVq1QLg2LFjme7/7widzLi4uNClSxc+++wzjh07hr+/P8HBwaxcuTItzc163X333RnyX79+neDg4EzLzu1aQJJ3hbJmz4EDBzhw4AAnT55MW5jJ2dmZsmXLUrt2bZo3b061atkvxCUiIiIiIiIiIiIidwZ7G3s+e+Aznlv8HC8sfYF32r9DNc//fUd8JuwMn2/4nHWn1zG1x1TsbTJ2lJQEjo6OAISGZpyyLjk5mS+//NKix+vcuTMLFixg2rRpjBo1Cltb23T7p0yZkqfynJycaNCgAadPn0635pCjoyNJSUmEhobi6uqaLs/EiRNJTc28A+/m8xEfH5+nOCRnBdbZc+rUKb766isWLVrE5cuXc0xftWpVHn/8cZ566il1/IiIiIiIiIiIiIjc4e7zv4/vH/med1e/y/2/3E+zSs3wdvEmNCaU3cG78XT0ZGqPqdznf19Rh3rbWrVqhY2NDZs3b+bXX39l0KBBAERGRvLMM89k2gmUH/3792f06NFcvHiRYcOG8d133+Ho6IhhGHz99desWLEi03zPP/8899xzD927d8fJySnt8Q0bNrB27VoAmjZtmvZ427ZtWb58OW+++Sa///47Li4uGIbBrFmzmDBhAg4ODiQkJGQ4TvXq1dPKfe655zTSx4JMhmEYlizw2rVrjBgxgt9++y1d713ZsmWpVKkSTk5O2NjYkJCQQGRkJCEhIWmLRgFYW1szcOBAPv74YypVqmTJ0O4oFy9epHLlygQFBeHr61vU4YiIiKQ5dOhQvvIHBARYKBIpKGrj4qe4t0l+44OMMRb3OouIiEjxp+/Xio/ElERWnljJmpNriEqMws3ejc41O9O1VtdiO6KnatWqnD9/HhcXl0ynZ7spMDCQmTNnMmHCBACqVKmCl5cXR44cISUlha+//prnn38ePz+/tKnR4MY0adWqVcvw+K1udpT89yv+f//9l65du5KYmIibmxu1a9cmKCiIy5cvM378eN56660M+Ro3bsz+/fuxsbGhZs2auLq6Ehoayvnz5wF44oknmDVrVlr63bt306ZNm7Rj1KxZk5CQEC5dusTAgQO5cOEC69ev599//+Wee+5Jy3f69Gnq1atHUlISfn5+VKlSBSsrK4YMGcKQIUNyfN4laxYd2bNo0SKGDRvG9evXqVevHj179uS+++6jWbNmGYZy3ery5cvs27ePtWvXsnjxYmbMmMGff/7Jl19+yeDBgy0ZooiIiIiIiIiIiIgUI/Y29vSo14Me9XoUdSh5FhMTk24ww3+lpKQwfvx4fH19mTp1KmfOnCEuLo7777+fUaNG4e3tbfGYOnbsyLZt2/jggw/YsGEDR44coV69ekyePJl+/fqldfbcavLkySxZsoSNGzcSFBTE6dOnqVChAl26dOHFF1/koYceSpe+WbNmbNiwgffee4+tW7dy7NgxatasyTvvvMNLL71Ex44dM43N39+fv/76i7Fjx7J3714uXLiAYRjpOoTk9lhsZM9bb73FhAkT6Ny5M++//z5t2rS57bL+/vtvxowZw9atW3nppZf48ssvNZzrP/TLAxERKa70a/s7n9q4+CnubaKRPSIiIlIc6fs1EbmTWGRkz7Bhw/jrr7/466+/ePDBB/NdXqdOnejUqRO///47r7/+OtHR0fzyyy8WiFREREREREREREREROTOYpXfAnbv3s2RI0fYt2+fRTp6bjVgwAD27dvH6dOn2b59u0XLFhERERERERERERERuRPke2RPs2bN2LhxoyViyVTFihVZv359gZUvIiIiIiIiIiIiIiJSkuV7ZI+IiIiIiIiIiIiIiIgUHXX2iIiIiIiIiIiIiIiIlGC3NY3b0aNHOXXqFPXq1cPf3x8As9nMTz/9RGBgIDY2NnTr1o3+/ftbNFgRERERERERERERERFJL8+dPc899xw//fQTACaTiQ8//JD333+fPn368Oeff6almz17NosXL2bevHmWi1ZERERERERERERERETSydM0bosWLeLHH3+kbt26vPbaawQEBDB69GgmTZrE8uXLGT9+PPv27WP58uU0bNiQhQsXMn/+/IKKXUREREREREREREREpNTL08ie7777Dm9vb7Zv346zszMJCQnUrl2bkSNH8tFHHzF8+HAAGjZsyF133UXVqlWZOXMmffv2LZDgRURERERERERERERESrs8jew5fvw43bt3x9nZGQAHBwe6detGcnIy/fr1S5fW09OTBx98kD179lguWhEREREREREREREREUknT509165do3z58ukeu/l/5cqVM6T38/MjLCwsH+GJiIiIiIiIiIiIiIhIdvLU2VOmTJkMnTcmkwnDMDCZTBnSx8bG4uTklL8IRUREREREREREREREJEt56uypVq0ap06dSvfY66+/ztmzZzNNf/78eSpWrHj70YmIiIiIiIiIiIiIiEi28tTZ07x5c7Zt24bZbE57zN3dHT8/vwxpo6Ki+Pfff2nVqlX+oxQREREREREREREREZFM5amz5+OPP2bv3r2ZTtn2X2fPnuXpp59m6NChtx2ciIiIiIiIiIiIiIiIZC9PnT3u7u74+/vnqrOnUaNGTJ48mbvvvvu2gxMREREREREREREpLuLj4xk3bhyNGzfG2dkZZ2dnWrduzZw5czJNf+XKFd544w3q1atHzZo18fX1pU+fPuzbt69wAxeRO55NUQcglpOYZCZwTxxrtsdyNTwVayuo4mPLQ21daFbHASurnDvpxLISksz8uyuOv7fHci3yRpv4VbCleztXmta2z1XHaWl3LfYaCw4tYM3JNUQkROBo40jzSs0Z0HgAtb1qF3V4UgoYhsGu4F3M3j+bo1eOkpSaRHmX8jxc52EervcwLnYuRR2ixcUlmPl7RyzrdsYRFpWKjY2Jmr62dG/nQoC/rl1FITQyki9WzyfwwgrizWFYYUsFx9o8c9dAHm3eEiurPP1+RywgJs7Mmu2x/Ls7lohoM7Y2Jmr72fFwOxfqVLXTeSJSABJTEll+fDmLDi8iJDoEG5MN/mX96dewH22rtsXKpGthTiJjUlm5NZaNe+OIjDXjYGuibjU7HmnvSo3KdkUdXqkUEZ3Kii0xbNofT9T/t0n96vY83N4Ff1+1SVEIi0pl5f+3SXScGQc7Ew38b7RJtYpF3yYp5hTWnl7LgoMLOB9xHgBfN1/6NOhDpxqdsLW2LeII72zh4eHce++97Nu3D1dXVzw9PQkODmbbtm1s27aNw4cP88knn6Sl379/Pw888ADdunVj69atuLu7c/36dZ566ilatmzJvHnz6NmzZxHWSETuJCbDMIyiDkLy7uLFi1SuXJmgoCB8fX3ZfCCOL2aFERVrplkdB6pXsiXVDPuOJ3DmUjJ+FWwZ80w5qvjopl9YNuyNY+LvYcTEm2le14GqFW60yZ5jCZwLSaZ6RVtGP1sO3/Jqk8wYhsG3W79lyvYpmEwmOtXoRAXXCsQkxfDPqX+4GnuV+/3vZ0K3CbjauxZ1uHKHuhR1iReXvsiByweoWqYq7au2x87ajjNhZwg8G4iTrRMf3vchver3KupQLWb1thi+mR9OQqLBXQGOVPa2ITnFYMfhBIKvplCnqh2jny5Hec+sfy9y6NChfMUQEBCQr/x3mlGLfmX+qfGYTYn42rSloosfiamJHIvaTKJVMB5GAL89PoW6lSoVWkylvY2XbIjmh0URJKcYtGrgiK+XDQnJBjsOxRNyPZUGNez5cGg5PN2tCy2m4t4m+Y0PMsZY3OsslrXu9DreXvU2YfFhtPFrQx2vOpgNM1svbOXY1WP4e/oz5ZEp1Chbo6hDLZYMw2Du39HMWBYBwN0NnfDxtCY+0WDLwXiuRaTSsp4Do54qh6uTOs0Kg2EY/LYqit9WRgLQtpET5ctYE5dosOVAPNcjU2kV4MDIJ8vh4qg2KQyGYTBzeSSzV0dhZWWibSNHvDysiUsw2HQgjvAoM20aOvLO4LI4F1Gb7A/Zz8t/vUxwVDBNKjShScUmmDCx7/I+dgfvxsfFhy8f+pIWvi2KJL6S6L/fr+Vk5syZvPXWW3z33Xf06NEDGxsbQkJCePrpp1mxYgVWVlacPHmS6tWrExMTQ7169XBxceHgwYNYW//vvWFcXBxVq1YlISGBo0ePUqkQ38uLyJ2rQDt7wsLCiIyMxN3dHU9Pz4I6TKl0683ozFVPPvr5Gq0bOvJcTw8q3dJ5YBgGh04nMnlOOGFRqXw93Jsq3upcKGj/7orlk+nXadfYkWd7lqFiuf99KWoYBgdOJjJpThjRsWa+GeFNJS+1yX+N/Xcs03ZP44VWLzC02VA8HD3S9iWnJrPyxEo++OcDqpWpxu99f8fJzqnogpU70uXoy/Se3RtrkzWfdP6ENn5t0v1i+FLUJSZtmsSfR/7k086f0q9hvyKM1jL+2hjN5DnhdGnlzJMPuafr0DGbDXYfS2DS7DAM4Nvh3pTzyLzDR1/AWs4b835kSdDn1HV8hM97vEn9Wz4EpqSmMm3jWiZv/wArkw1LBv1BTR/vQomrNLfx/H+imLoogu7tXBjUzZ2yt3TopJpvdIxOmh2Gg52Jb4Z74+FaOB0+xb1N1Nkj+bHm5BpeXPoi91a/l3fueYdqZaql7TMMg92XdvP+3+9zJeYK8/vPx7+sfxFGWzz98lcEv62Mou/9rvTr5Jbu2pSaarBxfzxfzgnDq4w1X77uXWRfZJcmP/4Zzty/o+nf2Y2+97vi7vK/NklJNdi4N47Jc8Ko6GXL5NfK4+igNilo3y0M54910TzR1Y3e97ri5vy/NklOMVi/J46v5oZRxceWia+Vx8GucNtkX8g+npj3BHXK12H0faMJ8E5/Hzt+9Thj1o1h76W9zOw9k5aVWxZqfCVVXjt7nnzySXr06MEjjzyS7vHY2Fhq1arFpUuXmDt3Lo899hhfffUVr732GhMnTuSNN97IUNa7777LZ599xnvvvcfHH39ssTqJSOlVIJ09f/zxB++//z7Hjx9Pe8zNzY2GDRvSuHHjtC0gIID/Y+++45uq3geOf5J079JSSmkpUEaBsrdsZIlsoTJlqQxFFEUZyhABERAFERwgqIwyRJA9ywYZpbTMstpSdvceSX5/9Nd8qV0pTRc879cr3y/mnnvuc3Juc5P75JxjbCw3uZ9HxsXoyvVgJi5T0KKOOZ+PdAB1ApHXVhJ9cz3qxMeozJ2wrToQldsIPvw+FjNTJcs/K/fCTC2iSY3Ptr32nqNQGlsWS0wR0WoGfhFG2wYWTB7mkOP0edFxasYvfISNpZIfJjnrXX9JbLOhHb1zlBFbRjC9w3SGNRyWY7nAR4EM3DCQAXUHMK39tCKMMDND90lp6OOS3mZD1Ddi8whuhN9gy6AtOFtn/zeq1WqZeXAm6/3Xs3/Uftzt3PMdq6EUtM33Hqcy/MsH9GhtxQfe9mjTsr+epDkPZ/ziWDwqGDPvPads68r2Bqw6EdXTbagi9kBqBBiXQV2mK2rHXqAyz1RUbsCm8712lVH/9KCR7UA2vD0L1InZ9kmIRWcGbBmKs0kdjny4Su/6C3LOlNY+Lujfya17Kbwz9yEDOtvwbm+7HMvdf5rG+AUPqVfNjOlvOxqwBTkr6YkPSfYUjsL4zFDSPodEJUbR+ufWtKnUhiU9lqBSZp9AjU6K5s31b2KsMmb70O0vzPcdQ/APSuKjxY95p7cdAzvb5NjHkTbD+Oj7GDo0seSjgfr/WLMkfo4r6c5fS2LSkseMfcOO/q/a5FjuZmgKE759RNcWloz3Lr4+MbSSeM6cDkxk6o9P+OBNe3q3tc6xzscWw/h4aQw9Wlsx9g37IosxVZ1K+1/b42ztzB/9/8Dc2DzbcslpyYz6axQ3nt7g2LvHMDUyLZL4Cru+wpARY6j/7zQYel7vZM+4ceNYunRpplE6Gfr27cvWrVs5ePAgHTp0oGvXruzdu5etW7fSu3fvLOXXrl3LkCFDaNasGadPnzZEs4QQLzmDJ3u2b99O7969USgUZFf1sx+6jYyM8PT0zJQAat++vSHDeWFlJHt+3HCTv08Ys3FuBaxNk7h3YADJkVcAzTOllZja1+K+y+9M/SmWHyaVo1Zl/S74JZkmNT7X9rp23FAsHyL+2B3Nuj0xbJpXAas8pkA44Z/AFz89ZcVkZ6pXzHvu35LaZkN7+6+3eRz/mG1DtuX5RX3B0QWs9V/LydEni2V0j6H7pDT0cUlvsyHquxN5h44rO7LwtYX0qZ37/MlJqUm88tMreNfxZnLbyXrHaUiGaPPyLZHsPR3PxrkVMCIh1/ouW69mwbp4/phVPtuRiVluwKoTMb41BUXSbRT877OBFgVasyqkeszLlAx4EW7AGkLfFVO4HLOfCxNOYK5My7VPfozrxaa789nifYD67nknHQt6zpTGPjbE38m36yI4FZDIhq9cUKlyvz5t9Y1l2eZINnzlkuMoOEMq6YkPSfYYXmF8ZiiJn0N+Pfsri44v4ti7x3C0zD15euzuMYZvHo7PQB8aV2hcRBGWfLN+fcrd+yms+qI82rTcr/G+6lVsOJDExnkV9Jo6rCR+jisNvljxhAfhafwy1TnP7zur/onir8OxbJxbAQs9RveU9NewpJ4zk5c9JjpWw/LJznnWuTthJTtPJrNxXgW9RvcYIsa9N/Yybvs4/nnrH2o51cq17O2I23Ra1YlF3RbRu1bvIomvMOsrDM/GGJeQRsN3QvRO9uSmTZs23L59m1u3bmFqakrNmjW5du0aO3bs4PXXX89Sfvfu3XTr1g17e3siIiIKdGwhhAAw+JjTuXPnAum/du7Tpw/Lli1j6dKlTJgwgXbt2mFnZ4dWq0Wr1ZKamkpAQAB//vknn3zyCZ06dTJ0OC883wsptGtoga2VishrK7O5mAJoSI68gofiD8o7GrHzeFxxhGpwebU38trK4giLXSfieLWJRZ6JHoDmXuY42avYeUK/PilImzVpCQZ5FLaHsQ/xve3L4HqD9fpF5sB6A4lLjmP3jd1ZtiUmawzyyI2hz8PS0McFiTG71/dBwGpint4mWW1CstrsmYcJMU9v8yBgdZH3yeaAzdib29OtRrc8y5oZm9HPqx+bAjah1qjzLF8YCtpmtVrLnlPxvNbCEhNjRZ711bNcj7WFkt0n4/WKT/V0W5YkAIACLYqk26iebtOrnpdJfHIyATE7aOrQB0tT0zz7ZKR7LEqtOd8f2qBX/YZ+7yoNfVzQNienaDjwbzzdW1nlmegB6NQs/e9p72n9/k4KIiElgaS0pAI9ElIK/xpvSInJGpJTKdAjr+tJSVcYn4UNfY03xOeujQEb6Vq9a56JHoCW7i2pZF8Jn0s++Wz5iys6Ts3xiwn0aG2NQpH3Nf4Vx79ITdNy6Kx+710l6bNwaaBJS+BpRBynAhLp2coErToxz8/m3ZqrSErWcvhslF6f10v6a1gSz5knkWmcvZJEzzZWetXZ2nk78UlajvolFlmMPgE+NHBpkGeiB6BKmSq0dG+p93thSeuT4v0e//yuXbvG2bNnWbVqFaam6T+wNjJK/8FPQEBAtvuEhIQAEBsba7A4hBAvN4P/zPDSpUsoFArdsMbshIaGcvHiRS5evIi/vz8XL17kzp072Y4EErl7FKHByyP9IhJ9cz05X6g0xN5aT63Kgwh7klZk8RWmvNobfXM9DnU+KMqQSFNreRShpraHfiOnVCoFNSubcl/PPilIm29trK3XMfJSbdAdg9STk9DoULRoaVShkV7lXW1dcbZ2JjgqOMu21z+6Z5CYDv1YMcdthj4PS0MfFyTG7Pukx/8/cnAKIPN+hd0ndyPv4lXOS+9pDxq5NGLluZVEJ0VTxqLo16graJtjEjTEJuh/PUm6u5Zqbv31vp6oIvZkSQL8jxZVxB7U5Ur/mkeGdPfJEzTKBFp5pC+um1efGIVtxE5ZlbDYEL3qN/R7V2no44K2OTxGQ1KKVvd3khcrcyWVyxsXyeeuOkvqFLySA3Drk1sFr6eIpF9Pcp76SD/3cr2elHSF8VnY8Nf4/Hu2T7RaLcFRwbzV4C299lUqlDQo3yDbz4Uvq0cRatQa9L7GKx+sprxjD73fu0rSZ+HS4NbG2tyKqY1G+yM2N/pzK0y/71b2Jhu4fOwg1UN/AXL/vF7SX8OSeM7cf5KGVqv/34nZ45WUsXmN+09SiyzGu5F36Vyts17HA2jo0pCNARuLLD5D1ldc3+NjY2OJiYnR/bepqakuaZMbjUbD2bNnGTduHD4+PnTu/L9+qlq1KoGBgaxZs4ZJkyZlmfpt06ZNAJiZmenTJCGEyJPBR/ZYWqYPxXzzzTdzLOPm5kaPHj344osv2Lx5Mzdv3iQqKoqjR48aOpwXnpb/TY2nTnyca1l14mMU/7/Pi0Cf9ha1jHxlfmYIV4Deic6S2GZDy3gtFPl4FRUo0BbTmW3oPikNfVzSYzREfPk+nxTPuZ+BFLTNurcghf715TRda7ZSc56SQJHH9peVRpP5tdWvj/V/LzT433Ep6OOC/51kXJ/0p1A88/clhIEVxvW4JF7jtVptvtbfydf16SWge+/K1zVe//eul/GzsKHk/COJ7Mtq9bwClfTXsCSeM//tiZL4d5Lf7xkK9H8vLIl9Utiyi6FWrVrY2trqHvPmzcu1jjt37uDo6IiDgwMtW7bEz8+PTz75hM8//5y4uPTZW7y9vYH0UT9DhgwhPDwcgMTERD799FP8/PwAcHFxMWTzhBAvMYOP7KlZsyYnTpzIdqGy3FhbW9OyZUtDh/PCc7RVci04OX1KEXMn1IkPcyyrNHPielAKnu55rw1TGuTVXpV59guHFyZjIwUOtiquB6fQtUXe5TUaLddDUmhQXc+RQAVos4f3Zb2OUdxcbdPnyL308BIeDh55ln8U94hHcY9wtck6t+7OxQWbb1cfhj4PS0MfFyTG7Prk7j8dUCc+yqW+clTqcahI4svgauvKtivbSFGnYKLK+z0z4GEAViZW2JrZ6h2nIRW0zbaWSizMFFwPTqFlXYs869OYunDrXgqdm+s517ZxGUgNz3aTNmO7yKRy2bIoNGb8G+zPaDrn2ScJRi5Ea27jadlQr/oNfg0tBX1c0DaXsVFhbATXgpNp6Jn3ry8TkzUEP0ilSa3sF1A2pIAPArhy5UqB6qhVK+9pYUqSnYtdX7o2/1dhfBY29DW+oBQKBRVsK3Dp4SUGMzjP8lqtloCHAdR0qmnwWEqrsvZGKBVwPTiFam4meV9PVB48DE/D2UG/WwUl6bNwaeDhfRnbKDVciiSh1hY8muV9PYmI0RB5MgLPV97Fo9WEPMuX9NewJJ4zGef79eAU3MoZ51lntMKTiGh1kf6duNm6cenhJb2OB+nfpyvYViiy+AxZX3F9j79y5QoVKvzvNctrVI9SqeSff/6hefPmJCcns337dsaMGcOcOXM4deoUBw8eZMCAAWzYsIHt27ezYcMGtmzZgrOzMw8ePKB169aMHDmShQsXUq9evUJppxDi5WPwkT3Dhg1Dq9Vy+PBhQ1ctstG2gQmHziYQl6DBtupAcu5SJaHm4wl9lEa3V6yKMsRCk1d707cXvddesWT/v/EkJOU99+u5q0k8eJpG1xb69UlB2qw0sjDIo7C52LjQ0r0la/3X6lV+g/8GTI1Ms11bxdxUaZBHbgx9HpaGPi5IjNm9vk41+mKqSsFUlZTNIwWnGn2LvE/6efXjacJT9gftz7NscloyGwM20rd2X4yUhb8Ie3YK2maVSkGnppbsPBFHapo2z/quKT4kKk7Da3q+d6nLdM3l16gK1GW66lXPy8TK3AxPyy6ceLSF5NTUPPtkQ3xr1MoY3m+b88jqZxn6vas09HFB22xuqqRDY0t2HI9Drcn7l7IHzyaQkKyli75J0QKwMLHAzMisQA8Lk8K/xhuSuakSU2MK9MjrelLSFcZnYUNf4w3xuau/V3/+ufYP0UnRecb/771/CQoPop9XPz1b/OIrY6OimZc524/GotXmfY0/n/whAK820e89oSR9Fi4NlEYWODla06SWGduPp+j12Xz3GTVGKgWvNrXX6/N6SX8NS+I54+xgRP3qpmw/FqdXnWcSJmBqoqBtw6L7O+nn1Y8zoWe4GX4zz7KhUaEcuXME7zreRRafIesrru/x1tbW2NjY6B55JXvc3d1p0aIFCoUCMzMzvL29WbJkCQCHDh3i4MGDKBQKtmzZwoIFC/D09ESlUmFiYsKsWbPYt2+fbi2fbt3yXitWCCH0YfBvOEOHDqVevXosXryYhw9zzuQLw2jf0Bi1RsuKrZHY1RiJqX0tsnarEq11A9b5taVSeWPqVtNvFElJZ+85Ksf2mtrXwt5zVHGERfeWViSnaPl5a1Suw6bjEzX8/HcUVV2NqV1Fv9FWJbXNhjak/hD87vvx1+W/ci13K/wWqy+spnet3libWhdRdJkZuk9KQx+X9DYbor7qjtVp5taMRccXEZGQ+/RTS08tJSIhgsH18/7FcWExRJt7trEiMkbD7zujc60vxaIJmy42o0ENU9zLG+sVn9qxF1qzKmifmbBEC+n/bVYFtWMvvep52YxvPYxU5RPGrl2ca588NGnItsdHcFY2p1nVqnrVbei/u9LQx4Zoc682VjwMV+OzLybXck+j0vhjVzQt6pjr/atfIfKrMD4zlMTPId51vNFqtcz1nZvrZ+uElATm+c7Do4wHr1R8pQgjLPl6t7Xi5r1UdhyPy7WPo03a8E9AHTo0tsTWSr+ZOkri57jSoHdba64Hp7D7ZFyu5UIfpbLlUCwdm1pgZaHf7ZuS/hqW1HOmd1trAm8ls/9MfK51hhu1Z8+VmnRubomFWdH1SZdqXXC0cOTLQ1+Sqs55rSC1Rs3sw7OxMbOhh2cu66IaOL7CrK8w5BxjwQwaNAgTk/T7O/7+/gAYGRnxySefcPXqVRITE7l58yZTp04lJiaGw4cPU6ZMGd10b0IIUVAGT/aYmJjg4+ODkZERHTt2LPD0CiJ39tZKPhpYhl0n4lm4IRnLpusoU2cCKnNnQInK3Jn4Cp/z3ZUlhD3RMHW4Q77mvC7JlMaWuHbckKW9ZepMwLXjBpTGhf9L2uw4lTFiwoAybD8Wx6J1EUTGqrOUuR2WwsTvHvEoIo0p+eiTktpmQ+tUtRPedbz5bM9n/Hr2VxJTEzNt12g1HLlzhIE+AylnVY5JrScVU6SG75PS0Mclvc2Gqm9el3nEJscyyGdQtlMmRCVGMfvQbJafWc5nbT+jqoN+N9kLgyHaXNnFhHd727F2bwwrtqVg+0rW60lkuRks8F9EYjJ8PNhB/wBV5qR6zENdbhAYO6SPADF2QF1uEKke80BV+NNclUZd6tajvdM4jjz9icGrF6BqtCJTnyhMy3HG8m3G3H6CRpHKj/1yn1f8WQZ/rykFfWyINntWMmXoazb8uj2alduiiEvMPIpXq9USeCuZCd8+RgtMeNO+cBojBIXzmaEkfg5xtHRkbue5bA7czKTdk3gS/yRLmaCnQby16S1uR9xm8euLX5jvO4bSuKYZvdta8d2GSDYcTMOh9fpMfaw0cybMfjbzz3+JtaWKMX3t9K67pH6OK+mae5nRvZUVi9ZGsGFfDEkpWa8nZ68k8tHiR9hbK3m3j/7Xk5L+GpbUc6Z1fXO6NLdk/h/hbDmqpmybzH8nCrPyBNvM4ZtzMyhnb8SonnZFGqOpkSmLuy/m39B/eWfrO4REhWQpExYdxrht4/C97cuiboswN9bv81dJ7ZPC9GyMCrOyhqtXqcTNzQ0AM7Pcp2lctGgRKSkpfP7551hYlK4R1kKIkkuhLaTVK69evUrLli1JTk7m/fffx9vbm0aNGhXGoXKVkJDAkSNHOH/+PBcuXOD8+fOEhKRfFGfMmMHMmTNz3DcsLIxt27Zx+PBh/Pz8CAsLA8DZ2ZnmzZvzzjvv0KFDhxz3Hz58OGvWrMkzxtTUVIyM8verz3v37uHm5kZoaCiurq7sOxPP4nURqDVaWtWzwMPVGLUG/K4n4R+UTFk7FbPHlKV6xRdjvZ7SYPfJOL73iUSr1dK6vgWVXYxJU8OFa0kE3EqmXBkVs0eXpaqb9El21Bo1c33nsubCGmzMbOheozsuNi7EpcSx58Ye7kTeoYlrE5b1XIaDRT5uOguRD7cjbvPu1ne5E3mHes71aFu5LSZGJtwKv8WuG7vQaDR81vYzRjQaUdyhGszmQzH8vDUKlTJ9aoqK5YxISdNy5nLS/89jbsRXY8riVi7nUT2BgYEFisHLy6tA+79INBoN49cvY8/9pSi0xlSz6EhF20okpyVz8elRYhXXsdBUYuUbP9PUI+91zgzlZe5jrVbLur0x/LYjGhNjBe0bWlChrBHJqVpOBSRy814qVVyM+Wps2SId1VPS+6Sg8UHWGEt6m4VhbbuyjWn7ppGqSaVz1c54Onmi0Wg4FXqKM6FncLZyZnnv5dR1rlvcoZZIGo2WX7dHs3F/DOamCjo0tqRcGRWJyVqO+ycQ/DCNmpVMmD26LGVs87f+rng+ak36bBCbD8ViaaagfUafJGk5ejGB0Edp1K5iwqx3y1LGRvqkKKg1WpZvjuQv3zisLZR0aGxBWXsV8Ylajl1M4N7jNOpWNWXWu456j34ztBPBJ5iwYwJRiVG0qdyGBi4NUKDg0sNLHL59GCsTK759/VvaV2lfLPGVRv+9v5abY8eO4enpSdmyOSeIypUrx+PHj7l8+XKO6wP6+fnRokULmjZtyuHDh/O97rkQQuSkUJI9X331FXPnziU5ORmtVqv7ZVXZsmWpX78+9evXp0GDBtSvX5/q1asX6i+vfH19ad8++4tcbsme0NBQ3N3dM00VYGFhgVarJTHxf6MMRo4cyc8//5ztG3NGssfMzAxb25wX7Q4LC8v3G3t2F6PYBA17T8ex70w8TyPVqFQKKjob0aOVFS3rWWBsJL9wK2ox8Wr2no5P75Oo9LmWK5U3pnsrK1rWM8dIJX2Sl5CoENb7r2ffzX1EJ0VjZmRGowqNGFJ/CI0rNJZfbopCp9aoOXz7MOv813HtyTVS1ak4WjrSq2Yv+nn1w9HSsbhDNLiIGDV7TsZx8FwCETHp711VXY3p2caaprXNUClz/7uTG7CGd+PBQ77Zv5YzD3eRTCRKTChrVJ3BDQYzsvWrmOTzRyMFJX2cPlXbrpPxHD4XT2SsBhNjBdUrmtCztRWNa5qhzOPvxNBKep9IskcYQkxSDH9d+Yu/Lv/Fg5gHGCmNqFKmCgPqDaBLtS6YqORHVHl5GJ7GzuNxHPFLICZeg6mxglpVTOnVxop61Uzls3UxePA0jX+Ox3H8YnqfmJkoqF3FlJ5trKhbVfqkOIQ9SWXHsTiO+ycSm5DeJ14e6X8nXh7F3yeJqYnsvLYTnwAfQqJC0KLFzdaN/nX608OzB5YmxT9ypjTJT7Lnp59+4vHjx3zxxRfZbr916xZVq1ald+/ebN26NdsyN2/epEOHDtjY2HD06FHKlClT4DYIIUQGgyd7fvvtN0aNynn+zf9eFM3Nzalbt64uCfTuu+8aMhx8fX3p27cvDRs21D0++ugjHj58mGuy5+7du1SuXJlXX32Vt956i44dO+Li4oJGo+HatWtMnTqVbdu2AfD5558ze/bsLHVkJHuGDRvG6tWrDdqu/FyMhBBCiKIkN2BffNLHJU9J7xNJ9gghhBCiJMrP/bU7d+7QqFEjAgMDcXFxybJ9zJgx+Pr6cuzYsWxH/2zdupXRo0fTsGFDfHx8cv1huBBCPA+D/wx06dKlAJiamvLxxx/z6quvolKpCAoKwt/fHz8/P/z9/YmLS1+IMCEhgdOnT3PmzBkUCoXBkz2tW7cmIiLz4tqTJ0/Ocz97e3vOnz9Pw4YNMz2vVCqpVasWW7dupVu3buzZs4fvvvuOadOm5TkfpxBCCCGEEEIIIYQQovSpXLkyxsbGdOjQgR9++IEOHTqgVCpJSEhgwYIFBAUFceTIkUyJntjYWHbv3s3SpUu5c+cO8+fPZ8SIF2cacCFEyWLwZE9QUBAKhYJp06bx+eef655v06ZNpnI3b97Ez8+Pixcv6v7/4cOHhg7nuee9tLW1zZLoeZZCoWDkyJHs2bOHuLg4rl69SoMGDZ43TCGEEEIIIYQQQgghRAm2ZMkSfvrpJwYPHkxqaipVqlShUqVKDB48mOnTp2eZ0eiHH37g7t27fPjhh/Tq1Svfa3YLIUR+GPwdxtLSkoSEBDp37pxruapVq1K1alX69++ve+7x48eGDqdQPTuSR61WF2MkQgghhBBCCCGEEEKIwvTmm2/y5ptv6l1+ypQphRiNEEJkpjR0hfXr1wfSp2fLLycnJwNHU7h8fX0BMDExoXr16jmWO3jwINWrV8fMzAwbGxvq1KnDhx9+SFBQUBFFKoQQQgghhBBCCCGEEEKIF5XBkz0jR45Eq9WyY8cOQ1ddoty5c4cVK1YA6Vl9GxubHMveu3eP27dvY2FhQUJCAoGBgXz//fd4eXmxfPlyvY6XnJxMTEyM7hEbG2uQdgghhBBCCCGEEEIIIYQQonQzeLLH29ubzp07s3z5cgICAgxdfYmQmJhI//79SUhIwMHBgXnz5mVbrmHDhrq5OZOTk4mIiCAmJoYtW7bg4eFBSkoK48aNY/PmzXkec968edja2uoetWrVMnSzhBBCCCGEEEIIIYQQQghRChk82ePj48MXX3xBnTp16NChA9u3bzf0IYpVWloagwYN4vz58xgbG7Nu3ToqVKiQbdkPPviA9957D3d3d1QqFQAWFhb07duXM2fOUKlSJQA++eQTtFptrsedMmUK0dHRuseVK1cM2i4hhBBCCCGEEEIIIYQQQpROBk/2DBw4kDZt2nD27FnCw8Pp06cP3bp1Y82aNTx58sTQhytSarWaIUOG8Pfff2NkZMS6devo3Lnzc9Xl4ODAtGnTAAgODsbPzy/X8qamptjY2Oge1tbWz3VcIYQQQgghhBBCCCGEEEK8WIwKo9JnR6lotVr27t3L3r17AXBxcaFBgwbUr1+fBg0a0KBBA90Il5IsI9Hj4+ODSqXizz//pF+/fgWqs0WLFrp/3759m4YNGxY0TCGEEEIIIYQQQgghhBBCvGQMnuwJCgri4sWL+Pv76/4/NDRUtz0sLIz79++zc+dO3XO2tra65M+iRYsMHVKBqdVqBg8enCnR8+abbxZ3WEIIIYQQQgghhBBCCCGEEIZP9nh4eODh4cEbb7yhey4yMjJT8ufixYtcvXqVlJQUAKKiovD19eXIkSMlLtmTXaJnwIABBqn79OnTun9XrlzZIHUKIYQQQgghhBBCCCFETr744gtmz55d3GEIIQysUKZx+y97e3vatWtHu3btdM+lpaVx5cqVTEkgf3//oghHb2q1mkGDBrFx40aMjIzyNaJHq9WiUChy3B4REcHcuXMBcHV1pUGDBgaJWQghhBBCCCGEEEIIIXIyd+5cSfYI8QIqkmRPtgc2MqJu3brUrVuXoUOHFuqxIiMjUavVuv/WaDQAJCQk8PTpU93zZmZmWFlZAemJnqFDh+oSPevWraN///56H/PPP/9k69atDB48mNatW+Pk5ARAYmIie/fu5dNPP+X27dsALFy4EKVSWeB2CiGEEEIIIYQQQgghXhwRERGEhIRgZmaGsbExKpXque8jajQaAgICDByhEKKkKFCyZ/Xq1fj6+tK3b186d+6MmZmZoeIyqAYNGhAcHJzl+QULFrBgwQLdfw8bNozVq1cDcOLECdavXw+AQqFg/PjxjB8/PsdjfP/995lG/ajVarZu3crWrVsBsLS0xMzMjKioKF3iydTUlG+//VbW/xFCCCGEEEIIIYQQQmRx9OjRTMtlCCFETgqU7LGzs2Pnzp38/vvvWFhY0KVLF/r06UP37t2xs7MzUIjFI2P0D0BqaiqPHj3KtXxiYmKm/27fvj1z5szh1KlTXL16lfDwcKKjo7GxsaFq1ap06NCB0aNHy1o9QgghhBBCCCGEEEKIbHXq1AljY2Pd2ueGkNvSE0KI0qtAyZ7evXvTs2dPjhw5wtatW9m2bRtbt27F2NiYNm3a0LdvX3r27EmFChUMFe9zuXv3br73adeuHVqt9rmP6e7uztSpU597fyGEEEIIIYQQQgghxMvN0tKSJk2aEBISQp8+fbC2tsbI6Plu6arVagIDA9m2bZuBoxRClAQFXrNHqVTSvn172rdvz5IlSzh37pwu8fPee+/x/vvv07hxY/r27Uvv3r2pUaOGIeIWQgghhBBCCPECCwwMLND+Xl5eBopECCGEKF61a9embdu2fPXVVwWuKzU1FXNzcwNEJYQoaZ5vNa9cNG7cmDlz5hAYGMj169eZO3cuSqWSqVOnUqtWLWrWrMm0adM4e/asoQ8thBBCCCGEEEIIIYQQL5R69ephZWVlkLqMjY3lx/hCvKAMnux5VrVq1fjss884deoU9+7dY+nSpbi5ubFw4UKaN2+Om5sb48eP59ChQ6jV6sIMRQghhBBCCCGEEEIIIUqdsWPHMnnyZIPVd/nyZYPVJfJn9erVKBQKhg8fXtyhlHqVKlVCoVA81xIu+XH37l0UCgWVKlUq1OMYQqEme55Vvnx5xo0bx759+3j8+DFr1qyhadOmrF69mk6dOuHk5MSwYcP4+++/SUxMLKqwhBBCCCGEEEIIIYQQ4qUxdOjQ4g5BCFEIiizZ8yxbW1uGDBnCli1bePLkCX/99Rc9evRg165d9O3bF0dHR954443iCE0IIYQQQgghhBBCCCFeWOvWrSvuEIQQhcCouAMwMzOjV69e9OrVC41Gw5EjR9i6dSv//PNPcYcmhBBCCCGEEEIIIYQQxebu3btcvHgRMzMzjI2NUalUKJXP9/t9jUZDQECAgSMUQpQUxZ7seZZSqaR9+/a0b9+eJUuWFHc4QgghhBBCCCGEEEIIUWyuX79O3759USgUxR2KEKKEK/Rp3Pr06ZOv8teuXWPz5s0cPXqU2NjYQopKCCGEEEIIIYQQQgghSrb27dtjaWmJVqs12EMYTnh4OJ9++ik1atTA3Nwce3t72rVrx9q1a/N8rWNjY5k4cSKVKlXCzMyMKlWqMG3aNBISErItf/z4cfr06YOzszPGxsaUKVOGmjVr8vbbb3P69Ols9zl79ixDhgyhYsWKmJqaUq5cOV555RW++eYboqOjdeVmzpyJQqFg5syZ2dazevVqFAoFw4cPz/H5+Ph4pk6dSvXq1TEzM6Ndu3aZyv77778MGDCAChUqYGJiQrly5ejfvz9+fn45vkbBwcEMGTIEJycnLCwsqFu3LsuWLSvQeZyamsrSpUtp2rQpNjY2WFpaUq9ePebMmZPja59Bq9WydOlS6tSpg4WFBU5OTgwdOpSQkJAc4x89ejRVqlTB1NQUa2trqlSpQp8+fdiwYcNztyEnhT6y58iRI3qVS0hIYODAgezYsUP3nJWVFaNHj2b27NmYmpoWVohCCCGEEEIIIYQQQghR4piYmNC0aVOePHnCyJEjsba2xsjo+W7pqtVqLl26xNKlSw0c5cvp5s2bdOjQgdDQUExMTPDy8iIqKoojR45w5MgR9u3bp0uG/FdycjJt27bl4sWL1KpVi2rVqnH58mXmzp3LoUOHOHjwIBYWFrry27Zto2/fvmg0GhwcHKhbty4JCQmEhoaycuVKrKysaN68eaZjfPPNN0yePBmtVouNjQ116tQhKiqKc+fOcerUKZo2bZolIfO8EhMTadOmDX5+fnh6elKrVq1M9/MXL17Mxx9/jFarpUyZMnh5eRESEsLmzZvZtm0bGzZsoG/fvpnqvHr1Kq1btyY8PBwzMzNq167NkydPeP/997ly5cpzx9m9e3cOHToEQM2aNTE2NiYwMJBLly6xefNmDhw4gIODQ7b7v/feeyxfvpyKFStSq1YtLl++zJ9//snevXs5duwYNWrU0JW9e/cuTZo04enTp1hYWFCjRg1UKhUhISH8/fff3LlzhwEDBjxXO3JSJNO4xcbGcu3aNezs7KhWrVq2ZebPn69bp8fKyoqaNWvy6NEjFi5cyLFjx9i1axf29vZFEa4QQgghhBBCCCGEEEKUCLVq1cLOzo4PP/ywwHWp1Wp++OGHggf1ktNqtQwcOJDQ0FDatm2Lj48P5cqVA2DPnj3069eP33//nebNmzN27Ngs+2/evJly5crh5+dHvXr1AAgMDKRbt26cPn2aGTNmsGDBAl35zz//HI1Gw48//si7776LSqXSxXHkyJEsM2Rt27aNzz77DJVKxTfffMP48eMxNjYG0gddrF27VhevIWzZsgUPDw8uX75MzZo1AUhKStK9Hh9//DEODg789NNPmZI6K1euZMyYMQwfPpwWLVpQvnx5XbuGDBlCeHg4Xbp0Yd26dZQpUwaADRs28NZbbz3X6J4vvviCQ4cO4eLiwj///EPDhg2B9MRdjx49uHjxIuPGjcPHxyfLvmFhYfz666+sX79el6QJDw9nwIABHDhwgLfeeovTp0/rknuLFi3i6dOnDBs2jB9++AErKytdXdeuXePo0aP5jj8vhT6NW3JyMk5OTjRv3hxPT0+qVKnCunXrspQ7fPgwAF27duXevXucOXOGu3fv4uvrS0REBB988EFhhyqEEEIIIYQQQgghhBAlyiuvvIKLi4tB6lKpVHTu3Nkgdb3MDh48yLlz5zA1NWXDhg2ZEiddu3ZlxowZQPoAh+ySEmlpaSxdulSX6AHw8vJi2bJlACxfvjxTAicoKAh7e3vGjh2rS/QAKBQK2rVrR48ePTLVP3XqVABmzJjBxIkTdYkeAAsLC9555x1dUsYQ1Go169evz1SnmZkZANOmTUOr1bJy5coso3dGjRrFhAkTiI2N5ddff9U9f+jQIS5cuIC5uTl//vmnLtEDMGDAAMaOHUtaWlq+YoyJiWH58uUALFu2TJfoAahatSq///47AJs2beLWrVtZ9k9LS2Ps2LGZRuM4ODiwdu1azMzM+Pfff/H19dVtCwoKAmDixImZEj0Anp6evPvuu/mKXx+Fmuw5cOAAiYmJJCcn6+aEvHv3LkOHDmX+/PmZykZERKBQKPjmm2+wsbHRPd+mTRuOHz/OwYMHOX/+fGGGK4QQQryUAgMDC/QQQgghhBBCCFF4Bg4cmO3okOe1a9cug9X1stq3bx8A/fv3x9nZOcv2MWPGYGpqSnBwMNevX8+yvUKFCvTq1SvL8927d6dixYrEx8dz4sQJ3fNubm5ERUWxf//+PGO7efMmV65cwcTExCCjwfRRu3btTMmTDMHBwVy4cAEnJyd69uyZ7b4Zzz+7HMzevXuB9NfX0dExyz7jxo3Ld4zHjx8nISGBihUrZvvaN2nShBYtWqDVanN8nd97770szzk5OdGvX79McUN6n0H6KK6iWiurUJM93333HQCdO3dm69atXL58mSNHjvDxxx8za9asTIsvqdVqADw8PLLUU7ZsWaZPn14oixYJIYQQQgghhBBCCCFEaffgwQP+/PNPvvnmG9avX1/c4bzQbty4AaRPsZcda2tr3c3+jLLPqlGjBkpl1lvzCoVCt+7Ls/t99NFHaLVaOnfuTOPGjZk8eTI7duzIMn0bpK91kxGbtbV1Plv2fHIaJRQQEACkT+nWqlWrbB8TJ04E0qdJy5DR9pzqrVatWr7Xrsqo09PTM9t1lCA9afVs2WcZGxtTtWrVbPfLiPPZ/d577z2MjY2ZPXs2lStXZsyYMaxdu5b79+/nK+78KNQ1e06ePMnnn3/Ol19+men51q1b4+LiwuLFi3XDozKYm5tnW1ffvn3p2rVrocUqhBBCCCGEEEIIIYQQpU1MTAzjx49n7dq1uhEEFSpUYODAgZnK3bhxgy+++CLb9UhE/sTFxQHpozpyUq5cOW7evJltQiav/YBM+40bNw5ra2sWLVrE+fPnOX/+PPPnz8fMzIyhQ4eyYMECbG1tgfTzAcDOzi7f7XpelpaW2T4fHR0NpMf07Eil7CQmJur+nfH6li1bNtuySqUSR0dHHj58qHeM+vYZkG2fOTg4ZJugy2m/+vXrc/ToUWbMmMGhQ4f46aef+Omnn1AoFHTq1InvvvvOoFPpQSGP7ElJSWHKlCnZbhsxYgTHjh3Tuy4nJyeePn1qqNCEEEIIIYQQQgghhBCiVFOr1fTt25c///wTjUajW0ojPDw8S9nq1asDcPr06aIO84WTsQbL48ePcyzz6NEjgGxH1zx58iTH/TLq/O9+Q4cO5eLFizx48IANGzYwatQojIyM+OWXXxgyZIiuXMZ+UVFR+jUGdCNdcppuLD4+Xu+6npXxOrVs2VJ3bub0uHv3bpb9cnqdNBpNtue4PrE8b5+Fh4ej0Wiy3S+nPmvevDl79+4lMjKSPXv28Nlnn+Hq6sq+ffvo1KlTvvpIH4Wa7KlatWqmxZ+eZWxsnKlDUlJSgJxPKLVaLckeIYQQQgghhBBCCCGE+H9//vknhw4dokKFCkyfPp2tW7eyf/9+kpKSsi0/YsQIWSrDADISZ1euXMl2e2xsLKGhoZnKPuv69evZJg60Wq1ujZ/s9gNwdnbmzTff5Ndff+XMmTMolUp27NjBgwcPgP9NRXblypVsR6hkJ2NkTk7JlZs3b+pVz39lTHN39erVHBMl2clo+7Vr13KMJzU1NV+xZNR59erVHHMQly9fzlT2Wampqdy6dSvb/TKmzsupz6ysrOjSpQtff/01165dw8PDg7CwMHbv3p2vNuSlUJM9bdq0YefOndlu++2334iPj+fAgQOkpqbqsmYRERHZlj958mSRDj0TQgghhBBCCCGEEEKIkmzlypU0a9aMK1euMHPmTHr16sWrr76aY/nmzZvna7Ylkb0uXboAsGnTpmynEvvpp59ITk7G3d1dtwbPs+7du8c///yT5fmdO3cSHByMpaUlLVu2zDOOWrVq6aZvy1gLxsPDAy8vL1JSUliyZIle7alSpQoAZ8+ezbItPj7+uROE1apVw8vLi4iIiCzLueSmc+fOQPrrm90Inh9//DHfsbRq1QoLCwtCQ0PZtm1blu3nzp3j1KlTumnWspPdcZ88ecKmTZsyxZ0bCwsL6tSpA2Dw9XsKNdkzcuRI3nnnHdasWcOjR49ITU3lypUrTJ06lYkTJ9KqVSumTZtGs2bNSEhIQKVSMWvWrCz1pKamMm3aNBo3blyY4QohhBBCCCGEEEIIIUSpce3aNb799lvdFFV5sbS0zHF0gtBfhw4daNKkCcnJyQwcODDT1GD79u3T3eOePHmyboq0ZxkZGTF+/HgCAgJ0z125coX3338fgDFjxuimBIuJiWHAgAH4+vpmGh2jVqtZsmQJkZGRWFpaZkoqffXVVwDMnDmTJUuWZBoFk5CQwK+//qobjQLQvn17zMzMOHfuHD///LPu+aioKIYPH57vKdOeNX/+fBQKBe+99x6//voraWlpmbbfvn2bOXPm8Ndff+mee/XVV2nQoAEJCQkMHTqUyMhI3baNGzeyfPlyjIyM8hWHjY0NY8eOBeD999/Hz89Pt+3WrVsMGzYMAG9vbzw8PLLsb2RkxI8//qhL7ED6wJUhQ4aQlJRE48aNad++vW7b2LFj8fHxISEhIVM9R48e5eDBgwA0bNgwX23IS/5ekXyqX78+r7/+OiNHjsx2+0cffYSzszOtWrVCoVAwceJE9u3bx8CBAxk7diwuLi7cuHGDOXPmcPr0aTZu3FiY4QohhBBCCCGEEEIIIUSpERcXl68fyN+9ezfHKd6E/hQKBevWraN9+/b4+vpSsWJFateuTUxMjG7Ks6FDhzJ69Ohs9+/Xrx/Xr1+nXr161K5dG4VCQWBgIFqtliZNmmQaEKHRaPDx8cHHxwdLS0vd0il3797l6dOnKBQKvvvuu0wJv169ejFv3jymTp3KhAkTmD59OtWqVSM6Opq7d++SmprK4cOHqVmzJgD29vZMmzaNL774gtGjR/Pll1/i7OzMlStXsLGxYdq0acycOfO5Xqtu3bqxdOlSJkyYwDvvvMPEiROpXr06CoWC0NBQ3Yxfy5cvz/T6/vHHH7Rp04bdu3dToUIFateuzZMnTwgODmbcuHG6UVD5MXv2bC5cuMDhw4dp2LAhtWrVwtjYmMDAQNRqNfXq1WPZsmXZ7luhQgW6deuGt7c37u7ulC1blsuXL5OYmIiDgwO///57psTeqVOnWLFiBUZGRlSrVg1ra2sePXqki3nIkCGZkkOGUKgjewBWrFjBiBEjUCgUusWWVCoVn376Kb1796Z58+b4+PgwceJEpkyZwvfff4+Pjw/t27enRo0a9OjRg1OnTtGrVy/eeOONwg5XCCGEEEIIIYQQQgghSoWKFSsSHR2td/nNmzdTtmzZQozo5VG1alX8/Pz45JNPqFixIpcvX+bx48e0adOGP/74gzVr1mQ7qgfA1NSUI0eOMGHCBGJiYrh+/ToVK1Zk8uTJHD58WLeGDoC1tTV//PEHQ4cOxc3Njbt373L58mXKlCnDkCFD8PPz4+23385yjMmTJ3Py5Em8vb2xsLDA39+fmJgYmjRpwoIFC7KMKvn8889ZtmwZtWrV4smTJ4SGhtKvXz/OnTuHu7t7gV6r9957j4sXL/L222/rkiRBQUE4OjoycOBANm3axFtvvZVpn9q1a3Pu3DkGDRqEhYUFgYGB2NjYsHTpUn744YfnisPc3Jy9e/fy/fff07hxY4KDg7lx4wa1atXiq6++4uTJkzg4OOS4/7Jly/j++++xtrYmMDAQS0tLBg8ezPnz53WJswyLFy9mwoQJ1K1bl6dPn3Lx4kUgfQrA7du352taO30ptDmtRmRgDx8+5MyZMwA0adIEFxeXHMuuWLGCpUuXcufOHSpUqMA777zDxx9/jEqlKopQS4V79+7h5uZGaGgorq6uxR2OEEKIUiwwMLBA+3t5eRVqfaLkkT4ueUp6nxQ0PpD3mpeR9LEQQojC9iLcX3v//ffx8vJizJgxmZ5XqVSo1epMz929e5eGDRvSokWLHNdZF0KUXoU6jduznJ2d6dWrl15lx4wZk+UNSgghhBBCCCGEEEIIIcT/jB07lpYtW+Lq6kr37t0BMq3rkuHEiRMMHTqU6Ohove/RCiFKlyJL9ujj5s2bVK1atbjDEEIIIYQQQgghhBBCiBKvdu3aDBo0iF69elGnTh1at26NnZ0dkL4+ycOHDzl58iSXLl1Cq9VSvXp1RowYUbxBCyEKRYlK9mzfvp2JEycWdxhCCCGEEEIIIYQQQghRKixatIh///2XCxcuEBAQoHt+5syZun9rtVqcnZ3x8fHB2Ni4GKIUQhQ2ZXEHkCE2NpZNmzYVdxhCCCGEEEIIIYQQQghRapibm+Pr68unn36Kg4MDWq0208PY2JihQ4dy5swZ6tWrV9zhCiEKSaGO7BkwYAARERHY2dlhY2ODlZUV5ubmmJqaolQq0Wg0JCUl8fDhQ/bv309kZGRhhiOEEEIIIUogWYRdCCGEEEKIgrGysuLrr79m7ty5BAQEcOvWLdLS0nBzc6NmzZq6qd2EEC+uQk32hISEcPr0aRQKRa7ltFotAJ6enoUZjhBCCCGEEEIIIYQQQrww7ty5Q2xsLB4eHlhaWqJUKqlXr16OI3hCQ0Nxc3Mr4iiFEEWhUJM9PXv2pFy5clmeT0tLIyIigmvXrhEZGUnr1q1p3rw577zzTmGGI4QQQgghhBBCCCGEEC+MmTNn8ueffwJgaWnJ9u3badeuXY7lJ06cyKRJk2jatGkRRSiEKCqFmuyZPHlyrtu1Wi179uzh+++/Z8yYMVSuXLkwwxFCCCGEEEIIIYQQQogXxunTp7G3t2fXrl3Uq1cPU1PTXMsPHz6cTZs2SbJHiBeQsjgPrlAoeO211/jjjz8YN24ciYmJxRmOEEIIIYQQQgghhBBClBpPnjzRjdTJK9ED0KBBA3x9fQs/MCFEkSvWZE+GsmXL0qtXLxYvXlzcoQghhBBCCCGEEEIIIUSpEBsbyxtvvKF3eUdHR8LCwgoxIiFEcSkRyR6AJk2a4OPjU9xhCCGEEEIIIYQQQgghRKlga2uLu7u73uWDg4OJiIgoxIiEEMWlxCR74uPjuX37dnGHIYQQQgghhBBCCCGEEKVCixYtCA8P17u8j48PVlZWhRiREKK4lJhkzw8//IBarS7uMIQQQgghhBBCCCGEEKJUeP/999m2bZteZa9fv878+fOpXr16IUclhCgOhZrsCQ8PJy4uLtttiYmJ3Lx5k02bNtG5c2c2b95MtWrVCjMcIYQQQgghhBBCCCGEeG6JiYnMmzeP+vXrY2lpiaWlJS1atGD9+vXZlo+JieGLL77Ay8uLKlWq4ODgQKtWrVi9ejVarbbA8XTp0oXt27dz8eLFXMtt2bKFtm3bkpCQwOuvv17g4wohSh6jwqy8VatW3LhxA5VKhYmJCcbGxmg0GpKTk0lNTc1UVqFQ4O3tjUajIS0tjYSEBGJiYnj69Cn37t3jxo0bxMbGMmvWrMIMuVRLTtHgeyGBfWfieRKpRqWEis7GdG9lRSNPM5RKRXGH+NJJStFw+FwC+8/E8zQ6vU/cyxvTo7U1DWuYolBIn+TlafxTNgVuYl/QPqKSojA3MqdxhcYMrj+YGmVrFHd44iWg1Wo5F3aOdf7ruPr4KinqFJysnOjp2ZOetXpiZfLiDX9PSoGzN4w5H2RMbIIClRJcHdW09EqlirMaeesqeo+io1mwdyO+IbtI1ESgxJjy5jV4p9lQ3mjcFKWyxAzWfmnEJWjYdyaew+fjiYrVYGykoIa7CT1bW+FZyUSu8UIUghR1CscfHudw2GGeJj1FqVDiZuVGZ9fO1Hesj1Ih74VCiIKLiFGz+2Qcx/0TiU3QYGaioI6HKT3bWFHZxaS4wyNNk8bBWwfZFLCJ4KhgAFxtXOlfpz+dqnbCWGVczBG+2CIjI+nQoQMXL17E2tqaMmXKEBYWxunTpzl9+jSXL1/mq6++0pV//Pgxbdq0oW7duhw6dAgnJyeSk5P56quvGDFiBBcuXGDJkiUFjmvatGk0bdqUPn368Oqrr+Lq6oqxsTGPHz/m/PnzbNu2jbt376LVanF0dOS9994r8DGFECWPQmuIFHIO2rZty7Fjx/K1T05fjLVaLba2tkRGRhoitFLv3r17uLm5ERoaiqurKycuJbDgjwhi4jU08jSjSgVj1Bq4eD2J2/dTcS9vzKx3HKnoLBf9onLUL4FFayOIS9TQuKYZlcqn98mFa0ncfZBKFRdjZr7riKuT9El2tFotP5z6gR/P/IhCoaBT1U6Uty5PXEocB24e4En8Ezp6dGRht4VYm1oXd7jiBXU/5j7vbX+PSw8vUcm+Em0qtcFEZcLtiNv43vHFwtiCGa/OoG/tvsUdaoEEBgbq/n3mmjGbj5mRkga13dNwstOQpoarIUY8iVbh7qRmZJcE7K3/9/HBy8srx/qex3/re9lN++t3Nt78Bo0iGVejVrhYuZOsTuZazAmSlWHYab34c9CP1KxQochiMnQfl7ZzZtvRWH76K4rUNC3N65jjWtaIpFQt/wYm8iBcTZ2qpswY5UgZW1WRxVTSX8OCxgel/7wR+fdsH599fJYlAUuISY2hnkM9KltXRq1VExARwN3Yu7haujK5wWTcrNx0+0gfCyHyQ6vVsmZnNOv2xqBUKmhVz5yydioSkrQcv5RAZIyGlnXNmTzMAUvz4kku+z/wZ/w/4wmLCaNB+QY0cGmAAgUXH17kfNh5nK2c+a77dzRxbVIs8ZVG/72/lpc1a9bw6aefsmzZMnr37o2RkREPHjzg7bffZteuXSiVSoKCgqhSpQoAffr0wc/Pjxs3bmBikjlZ2K1bN/bs2cP169cNMtvR5MmT+eabb3K9t2plZcXOnTtp3bp1gY8nhCh5CnVkz4cffsigQYOwtbXF2toaMzMzjI2NMTFJ/7WjUqlEoVDoRvqkpKTk+pBfrWbvqF8CX/76lBZ1zRnTx44KzyQPtFotgbeSWbw+kg8WPWLJJ+WoWE6SC4Xt8Ll4vvotnNb1zXm3jz0ujv/7U9NqtVwKSubb9RF8sPARSyeVo0JZ6ZP/muc7j5XnVzKu+ThGNRqFnbmdbtuMDjPYfWM30w9M561Nb7HWey0WJhbFF6x4IT2MfYj3em9UChWr+62mpXvLTL8Yvh9zn2+Pf8uk3ZNIUacwoO6AYozWME5cNsbniDnNPFPo1iQ5U0JHo03meqgKnyPmfLfVkolvxGNrWWi/FxH/b6LPz2wLnU9Ny17M7/0xtZ9J6KSp1aw8dpDFZ6bzxto32fbWFqo5lyvGaF8OGw/EsOKvKHq0tuKtbrY4PJPQUffX8u/lJL5dF8GEbx+x9JNy2FkXXcJHiBfV6Uenme83n8ZOjRlRYwQuli66bVqtlmtR11h+eTlTzkzh62Zf42qV9806IYT4rx+3RLHlUCxDXrOhXwdrbCz/dw1/39ueIxcS+H5DBJ8ufcyiD50wMynae1QXH1xkiM8QPJ08+bHXj3iVy5zQvv7kOrMOzeKtTW+xpt8amro1LdL4Xha+vr78/PPP9OrVS/dc+fLl2bhxI9WrV+f+/fucPXuWKlWq8PjxY7Zt20bfvn2zJHoAOnbsyO7du7l48aJBkj1ff/01NWrU4MsvvyQ4ODjTNoVCweuvv87ChQupUUNmSSkuw4cPZ82aNfz2228MHz68uMMRL6BCTfb06dOnMKvXS0JCAkeOHOH8+fNcuHCB8+fPExISAsCMGTOYOXNmnnU8evSIb775hh07dhASEoK5uTm1a9dm2LBhjBo1Ks9pOm7dusU333zDvn37ePDgATY2NjRo0IB3332XN954o0Dti03QMG91OG0aWPD5SAdQJxAesJzom+tRJz5GZe6ES9WBfDt+BB9+H8vc38JZ/lm5YptaRJMaT+S1lZnis606EHvPUSiNLYu9PkOIiFbz9e/hvNrYgsnDHLJMn6dQKKhX3YwlH5dj/MJHzFsdzg+TnPWuvyS22dCO3jnKyvMrmd5hOsMaDkOTGk94wJJMbW5ZdSB/9P2FQZtHsvjEYqa1n6Z3/SX9PCzp9ZWGGA1R35S9U9CixWegD87WWf9GXWxcWPDaAixNLJm+fzotKrbA3c4937EaSkHb/DhKyaajZrT2SqFf66QsU7UpFVCzopoJfeL5dosl6w+bMaZ7YiG1RgD4XrvKtpBvaGQ7iA1vzwJ1Ypb3wn5VB9K032oGbBnK2xumcOTDVXrX/zJcT/6roG2+dS+FFX9FMaCzDe/2tsuyXaVU0KKOOd9/XI7xCx6yxCeS6W87Fll84uXzMlzjY1NiWXxpMc3KNWNS/UmoFJkTqAqFgpr2NZnbbC6Tz0xmof9CFr+y+IWZSvFl6OPCru9lJK9h/p0OTGTLoVg+eNOe3m2t//87aObXsEHVgXzz3jA+XhrDb/9EM/YNe73rL2ifpKpTeX/7+3g6efJH/z8wNzbPUqZG2Rr89sZvjPprFO//8z7H3j2GqZFpkcRXGmW0+an/7/naz9zcnO7du2d53tLSkmbNmrF161bKli0LpN8P1Gq13L9/P9u6Mq5V+owo0teIESMYMWIEly9f5saNGyQmJuLg4ECjRo1wdNT/c6nQT6VKlbIk1szMzHBxcaFt27Z8/PHH1K5du5iiM6yoqCi+++477Ozs+PDDD3Mt6+Pjw+rVq7lw4QKRkZFYW1tTrlw5ateuTbt27ejbty/ly5cvmsBfMoU6jVtJ4OvrS/v27bPdpk+y5/z583Tp0oXw8HAArKysSEpKIi0tDYDOnTuzfft2TE2zv4Du2rWL/v37k5CQAICNjQ1xcXFoNBog/U145cqV+f4ykjHM9McNN/n7hDEb51bA2jSJewcGkBx5BdA8U1qJqX0t7rv8ztSfYvlhUjlqVdbvgm9ImtT4XONz7bghXx8iDF2fofyxO5p1e2LYNK8CVha5/9LnhH8CX/z0lBWTnaleMe+5f0tqmw3t7b/e5nH8Y7YN2YY2LSHXNm8wb8G6gI2cHH1Sr9E9Jf08LOn1lYYYDVHfncg7dFzZkYWvLaRP7dx/uJCUmsQrP72Cdx1vJredrHechlTQNgcGBrL1hClnrhkze1gcxnn8FOTMNWPWHjLni8GxlLXVytRKhaTviilcjtnPhQknMFem5drHP8b1YtPd+WzxPkB997yTjoY4ZwqiOM4ZQ7w3fLsuglMBiWz4ygWVKvfPblt9Y1m2OZINX7ngaJf376tKWp8YmkzjZngvwzU+MDCQv+/8zR83/mBlu5XYmdrlejy/p37MPDeTr5t9TU37mtLHRVBnSa/vZSSv4fOZvOwx0bEalk92zvM13J2wkp0nk9k4r4Jeo3sM0Sd7b+xl3PZx/PPWP9RyqpVr2dsRt+m0qhOLui2id63eRRJfafNsm+MS0mj4Toje07jlpk2bNty+fZtbt25hamrK7du38fDwAGDbtm307NkzU/kOHToQGRnJhQsXXpgfKbxsMpI91apVw8nJCUhPigQFBZGSkoKpqSmbNm2iR48eQOke2XP37l0qV66Mu7s7d+/ezbZMamoq3t7e/P333wDY2tri7u6OSqXi9u3bREdHA7B06VLef//9Ior85WKQMaePHz82RDU5yki0PC97e3teffVVJk2axPr163F21m8URXR0NN27dyc8PBxPT0/Onj1LbGws8fHx/PDDDxgbG7Nv3z4++uijbPe/c+cO3t7eJCQk0LJlS65fv050dDTR0dFMnz4dgN9++40FCxY8d9t8L6TQrqEFtlYqIq+tzObiDKAhOfIKHoo/KO9oxM7jcc99vILIK77IayuLtT5D2XUijlebWOSZ6AFo7mWOk72KnSf065OS2mZDehj7EN/bvgyuNxiFQpFnm1+z0BCXHMfuG7uz1JWYrMnyeBCwmpint0lWm5CsNnvmYULM09s8CFidZZ/clPTzujDOmYLUWVr6ZHPAZuzN7elWo1ueZc2Mzejn1Y9NAZtQa9R5li8MBWmzJi0BdVoSZ64Z08IzEWNlEmhyfzSoEouFqYbTV5SgSUKTllCo7XsZxScnExCzg6YOfbA0Nc2zj0e6x6LUmvP9oQ161V/QcyavcySvR3GcMwV9b0hO0XDg33i6t7LKM9ED0KmZJSbGCvaeji/0+BJSEkhKSyrQIyGldP0dJyZrSE6lQI+8ricl3ctyjd9/bz+vOL+SZ6IHoJ5DPVwsXNgXui9/DS+hCtrHpeVzV2HWV9Jk1yfP88hNSXoNNWkJBnkUtieRaZy9kkTPNlZA3q9ha+ftxCdpOeqn3yh3Q/SJT4APDVwa5JnoAahSpgot3Vvic8mn0OMrjD4u3r+T53ft2jXOnj3LqlWrdD8Ir1KlCk2apK+f1KdPHyZOnKi72T1//nxu3rzJxo0biyXRc/To0SI/5ots6tSpHD9+nOPHjxMYGEhISAgdO3YkOTmZESNGEBdXPPdii9rChQv5+++/MTc3Z+3atYSHh+Pv768b4XP27Fk++OADbGxsijvUF1aBp3E7f/483bt3Z+PGjYWyuNfBgwcZOnQof//9N02b5n++0datWxMREZHpucmT9fvl9cKFC3n48CHm5ubs2rWLypUrA2BiYsJ7771HTEwMU6dO5eeff+bDDz+kevXqmfafPn068fHxODs7s2PHDuzs7ID00UGzZs3i4cOH/Pzzz8yZM4d33nkHe3v9hwBneBShwcsj/SISfXM9OV+oNMTeWk+tyoMIe5KW7+MYQl7xRd9cj0OdD4qtPkNIU2t5FKGmtod+I6dUKgU1K5tyX88+KYltNrTQ6FC0aGlUoRGQd5stw3bibO1McFRwlq2vf3Qvm316/P8jB6cAMu936MeKORYv6ed1YZwzBamztPTJ3ci7eJXz0nvag0YujVh5biXRSdGUsSij1z6GVJA239pYm7QUOxKSt1E9ZQ6mgSfyPJ4pUNFsERGhsZhazuRWIFQbdOe54xdZ3X3yBI0ygVYe6V8O8+pjo7CN2CmrEhYbolf9BT1nCjo+uDjOmYK+N4THaEhK0eo+d+XFylxJ5fLGen/uKkh8dZbU0esYuToAtz65VfB6ikj69aSgXxLv5Xo9Kelehmu8VqvlQcIDXnd/PZeo/0epUFLDrgYPEh7oVb6kK2gfl5bPXYVZX0mTfZ/kX1H2SUHc2miYqYsK+zPD/SdpaLXofW/F7PFKyti8xv0nqXrVb6jvJ52rddbreAANXRqyMWBjocdXGH1cXH8nsbGxxMTE6P7b1NQ0x1l8nqXRaDh79izjxo3Dx8eHzp0z99Pvv/9Ou3btePToEYsXL2b16tU0atQIpVLJ+fPndVO+FbUZM2Zw+PDhYjn2y6BcuXL88ccfVKpUifDwcPbv318iljspbGvWrAFg2rRpDBo0KNM2hUJB48aNady4cXGE9tIo8MieRo0a8fXXX9OxY0cmT55MfLx+v17MS3R0NOPGjaNr167MmDHjuRI9ACrV8y+K+/vv6fN2DhgwQJfoedb48eOxsrJCrVazdu3aTNvi4+PZsmULAGPHjtUlep41ZcoUAGJiYnTD2/JLy//m+FQn5j7CSp34GMX/71Mc9ImvOOszhIxJEfPzmwwF6V9k9VES22xoGa+Fgvyc1wq0xXRml/TzujDOmZJ+HhoivnyfT4rn3M9ACt5mxf//r/7xKxSg1cpUA4VFo8ncF/r1sf7vhSX977gwFLTN/7s+6S/970S/si9jn4iCeVmu8Vq0us+F+ijOz4WGVhL7I78xlITPri8beQ3z77/vGHp9By3ia3x+39cUKOQ+Qy6ya1OtWrWwtbXVPebNm5drHXfu3MHR0REHBwdatmyJn58fn3zyCZ9//nmmURyenp74+/vTrFkzACIjIzlw4ABnzpzhp59+IikpybCN00NcXBxXrlwp8uO+bJydnalWrRoAQUFBuZZNTExk/fr1DBgwgBo1amBlZYWVlRX169fnq6++yvF+e6VKlVAoFNy9e5fTp0/z2muvYW9vj6WlJa1bt+bQoUM5HlOr1bJhwwY6deqEg4MDpqamVKlShQ8++ICHDx9mKjt8+HDdvfHg4GAUCkWmR4bbt28DUL9+/Txfn+yEhYUxceJEatWqhaWlJba2ttSpU4dPPvkk29cwJCSEsWPHUrlyZUxNTXF0dOS1115j9+6ss/8AzJw5E4VCwcyZM3n48CGjRo3CxcUFMzMzatasycKFC3VLt2Tn3r17fPDBB1SvXh1zc3Ps7Oxo3749mzdvfq72FoYCj+wBGDZsGA4ODgwePJjVq1fz4YcfMmrUqOfKTj948ICff/6Z77//nuTkZNatW0f//v0NEWa+XL9+nZCQ9F/Hvvbaa9mWsbKyonXr1uzevZt9+/Yxa9Ys3bbjx4+TmJiY6/6VKlWiZs2aXL16lX379jFixIh8x+loq+RacHL6lCLmTqgTH+ZYVmnmxPWgFDzd814bpjDkFZ/K3KlY6zMEYyMFDrYqrgen0LVF3uU1Gi3XQ1JoUF3PkUAlsM2G5mqbPkfupYeX8HDwyLPNkcYOPIp7hKtN1rl1dy7O+tzdfzqgTnyUY30q83JU6pHzxTBr+ZJ9XhfGOVOQOktLn7jaurLtyjZS1CmYqPJ+zwx4GICViRW2ZrZ6x2lIBWmzh/dlAgKvYOqn4Zb553h65f2jjVQ1hJ5zpGmNRJK9NlGrVt7TSYj8qVy2LAqNGf8G+zOaznn2cYKRC9Ga23haNtSr/oKeMwX9clgc50xB3xvK2KgwNoJrwck09DTL83iJyRqCH6TSpFbWBZQNHV/ABwGlsk8KYudi15euzf/1MlzjFQoFTuZOBEUH8RrZf6d6llar5WbMTSpZV8qzbGlQ0D4uLZ+7CrO+kia7PjG0kvQaenhfLrJjFYSzQ/qtsevBKbiVM87zNYxWeBIRrdbtlxdD9ImbrRuXHl7S63iQ/n26gm2FQo+vMPq4uP5Orly5QoUK/3vN8hrVo1Qq+eeff2jevDnJycls376dMWPGMGfOHE6dOsXBgweB9JE/CxYs4MGDB/j4+HDo0CFWr15NdHQ0X3zxBT4+Puzfvz/XJSdq167NgwcPMDU1xcjICJVKhVL5fL/f12q1hIeHG+zH+iJ3+iZdz58/z6BBgzAyMsLZ2ZmaNWsSHR3N5cuX8ff3Z+vWrRw/fhxz8+y/W+zYsYOJEydiY2ODh4cHN2/e5Pjx43Tp0oX9+/fTrl27TOVTU1MZPHgwmzZtAsDFxQU3NzeCgoJYunQpmzdvxtfXVzeLVfXq1WncuDHnzp3D1NQ0x9E5NjY2hIeH8++///L66/qNzM5w8OBB+vbtS0xMDMbGxtSsWRONRsPt27dZtGgRVlZWzJw5U1f+zJkzdO3alaioKCwtLalTpw6PHj1iz5497Nmzhy+++IIvv/wy22OFh4fTtGlT7t+/T506dbC2tubatWtMmjSJEydOsGXLlix/Y0eOHKFXr15ER0djbm5OtWrViIqKwtfXF19fXz7++GMWLlyYrzYXBoOs2QPQvXt3Lly4QM2aNZk6dSoVKlSgbdu2fPnll+zcuZNr164RExODWp2+nkFSUhKPHz/G39+fLVu28MUXX9CqVSvc3d2ZNWsWHh4enDt3rlgSPZB5wdfcFvbM2PbfL5vP7l+7ds7DWjP2v3z5+S6QbRuYcOhsAnEJGmyrDiTnLlUSaj6e0EdpdHvF6rmOVVB5xZe+vfjqM5TXXrFk/7/xJCTlPffruatJPHiaRtcW+vVJSW2zIbnYuNDSvSVr/dNHy+XV5oNGVTE1Ms12bRVzU2WWh1ONvpiqUjBVJWXzSMGpRt8s++SmpJ/XhXHOFKTO0tIn/bz68TThKfuD9udZNjktmY0BG+lbuy9GSoP8hiLfCtJmpZEFKiMzmtRI4+RVc9K0ZqDM/XHprhVxSUqa19SC0gylkUWhtOtlZmVuhqdlF0482kJyamqefbwhvjVqZQzvt31Tr/oLes7kdY7k9SiOc6ag7w3mpko6NLZkx/E41Jq8v7QdPJtAQrKWLs31W9C4IPFZmFhgZmRWoIeFSen6OzY3VWJqTIEeeV1PSrqX5RrfsUJHjj04Rlxq3nPdX468TEhcCB1dO+rZ4pLNEO9bpeFzV2HWV9Jk1yfP88hNSXoNlUYWBnkUNmcHI+pXN2X7sfT3mbxewzMJEzA1UdC2oX6xGer7yZnQM9wMv5ln2dCoUI7cOYJ3He9Cj68w+ri4/k6sra2xsbHRPfJK9ri7u9OiRQsUCgVmZmZ4e3uzZMkSAA4dOqRL9rz99tusW7eOkydP4u3tzYoVKwgKCuKNN94A0u8f5rVQfatWrYiKiuLRo0eEhYUREhLC3bt38/UIDg7W/f/Lsn5McXv48CE3b6b/zVatWjXXsm5ubmzcuJHIyEhCQ0M5e/YsN27cIDQ0lH79+nHhwgW++eabHPefOHEiX375JY8ePeLcuXM8efKEwYMHk5aWlu1yJtOnT2fTpk00aNAAPz8/wsLCuHjxIk+fPmXcuHE8ePCAwYMH68pPnTpVlxhydnbWrU+U8cjQtWtXAObNm8eUKVMIDAzUK+EVEhLCG2+8QUxMDG+99RYPHz7E39+fgIAAYmNj2bFjB40aNdKVT0hIwNvbm6ioKLy9vXnw4AHnzp0jNDSU1atXo1KpmD17do4jfFasWIGdnR03b97Ez8+P69evc+TIEWxtbfn7779Zvnx5pvL379/XJaLmzp1LZGQkly5dIiQkhBMnTlChQgUWLVrEjh078mxrYTPoNxwPDw8OHz7Mr7/+SsWKFTl27BizZs2iZ8+e1K5dG3t7e0xMTFCpVFhaWlK+fHkaNmyIt7c3c+fO5eTJk7i5ubFq1SrOnDlDzZo1DRlevty/f1/372cz+/+VsS0mJibTm2XG/vb29lhY5PwBIGP/Z4+XneTkZGJiYnSP2NhYANo3NEat0bJiayR2NUZial+LrN2qRGvdgHV+balU3pi61Qo60/7zsfcclWN8pva1sPccVaz1GUr3llYkp2j5eWtUrm9o8Ykafv47iqquxtSuot9oq5LaZkMbUn8Ifvf9+OvyX7m2+ZGFBxvvXaF3rd5Ym1rrVXdJPw9Len2lIUZD1FfdsTrN3Jqx6PgiIhIici279NRSIhIiGFx/cK7lCpMh2tzaK4XYRCV7zuZ+jYhLVLDzjBnVK6ThXKZ0L25e0o1vPYxU5RPGrl2cax8/NGnItsdHcFY2p1keXyIyvCzXk2cZos292ljxMFyNz76YXMs9jUrjj13RtKhjrvevfl/GPhEF87Jc4zu5dkKLllXXVuX62TopLYnfrv2Gq6UrdcvUzVecJdXL0seFWd/LSF7D59O7rTWBt5LZfyY+19cw3Kg9e67UpHNzSyzM9LulZog+6VKtC44Wjnx56EtS1TmvFaTWqJl9eDY2Zjb08MxlfS4Dx1fa5Nzmghk0aBAmJun3d/z9/Tl06BC//fYbc+bMyXRv0c3Njc2bN/Ppp58C8Pfff+c6nVvGDXRnZ2eaNm1KmzZtaNu2re6RMVpZpVLRuXNnunTpQpcuXejUqRPt2rWjfv36GBmlfyZt0qQJbdu2pX379gZt+/NKS3xMUkSg3o+0UjKt4OPHjxk6dCjJycnY29vTqVOnXMu7u7vTv39/rKwy/xjc2dmZ33//HRMTkyxLiDyra9euTJ48WbecibGxMd999x2mpqacOXOGyMhIXdknT56wePFibGxs2L59e6Yp18zNzVm6dClNmjTh3LlzHDt2LF/tnj9/PpUrVyY1NZWvv/6aOnXqYG9vz6uvvsqsWbO4fv16jvtFR0fz6quvsnr1asqU+d9ayEqlktdff50ePf73nrZu3TpCQkIoV64ca9aswdr6f/cEhw0bxujRowFynI4xLS2N1atXU6lSJd1zbdq0Yfbs2QAsXLgw0+fORYsWERERwYcffsiUKVMyJYNfeeUVVqxYAcDixYv1fakKTaH8nG3kyJEEBQWxZcsWvL29KVeuHFqtNsdH+fLleeutt9i1axc3b95k+PDhzz0c0VAykilArsmaZ7c9u0/Gv3Pb99ntz+6bnXnz5mWaOzTjjdzeWslHA8uw60Q8CzckY9l0HWXqTEBl7gwoUZk7E1/hc767soSwJxqmDnfINJdiUVIaW+LacUOW+MrUmYBrxw0ojfX75Wth1WcoTmWMmDCgDNuPxbFoXQSRseosZW6HpTDxu0c8ikhjSj76pKS22dA6Ve2Edx1vPtvzGasurseh7W+Z2qwwK8d1515MDIuknJUzk1pP0rvukn4elvT6SkOMhqpvXpd5xCbHMshnULZTJkQlRjH70GyWn1nOZ20/o6qDfjfZC4Mh2ly+jIaeLZLYd8GUv06YkpDNd42Qx0q+/9uC5FQY0C7R8A0RmXSpW4/2TuM48vQnBq9egKrRiszvhablOGP5NmNuP0GjSOXHfrnPK/6sl+V68ixDtNmzkilDX7Ph1+3RrNwWRVxi5oSnVqsl8FYyE759jBaY8KZ9kcYnXi4vyzXeztSO92q/x8Gwg3wf8D2RyZFZyoTEhTD97HTuxd/j43ofF9v3HUN7Wfq4MOt7Gclr+Hxa1zenS3NL5v8Rzpajasq2Wf+f76DlCbaZwzfnZlDO3ohRPe30rtsQfWJqZMri7ov5N/Rf3tn6DiFRIVnKhEWHMW7bOHxv+7Ko2yLMjfWbSvZlPGeebbPCLP9LUORYr1KJm5sbAGZmZvj4+AA5L+8wY8YMTExMUKvVud4XrFu3LgqFguvXr3P69Gl8fX05fPiw7tG7d28gfbTCnj172L17N7t372bv3r0cOnSICxcu8PDhQ8aMGaP7of6BAwcM1u6CiA5aR+ieHno/ooPWFXfI2Zo7dy6tWrWiVatWeHl54ebmxoEDBzA2NuaXX37JlIzIiUajYdu2bbz33nu89tprtG7dmlatWtGpUycUCgVBQUEkJCRku+/bb7+d5TlHR0ddMiNjLR2AXbt2kZycTJcuXXB1zTptolKppHv37kD61GX5UaFCBfz8/JgxY4bu2NHR0Rw6dIiZM2dSs2ZN3nnnHZKTkzPtt23bNgAmTZqk1+e4ffv2AfDOO+9gZpZ1iu0JEyYAcPLkyWynLGzRogUNG2adAn3kyJGYmZlx9+7dTImpv/76C8j+dYb0ZJuJiQknT57Mdc2foqDQ6jt5YAHduXOH+/fvExERQUxMDObm5jg6OlKjRg3KlStXFCHoVKpUieDgYGbMmJFprr9nzZ07l2nTpgHp8xhmZMD/65dffuHdd98F0kfnlC9fHoB3332XX375hQoVKnDv3r0cY5k2bRpz587FxMQky4n+rOTk5Ezbw8LCqFWrFqGhobi6urLvTDyL10Wg1mhpVc8CD1dj1Brwu56Ef1AyZe1UzB5TluoVi2e9npfR7pNxfO8TiVarpXV9Cyq7GJOmhgvXkgi4lUy5Mipmjy5LVTfpk+yoNWrm+s5lzYU12JjZ0L1Gd1xsXIhLiWPPjT3cibxDE9cmLOu5DAcLh+IOV7ygbkfc5t2t73In8g71nOvRtnJbTIxMuBV+i103dqHRaPis7WeMaJT/NddKkmenHj3sb8L2U6YoldDAIxUnOw1pagVXQowIeazCyU7Nu90ScbL7303u/053+mx9zyO36VNfNhqNhvHrl7Hn/lIUWmOqWXSkom0lktOSufj0KLGK61hoKrHyjZ9p6uFRZHEZuo9L0zmj1WpZtzeG33ZEY2KsoH1DCyqUNSI5VcupgERu3kuliosxX40tq/eoHkMo6a9hQeOD0n3eiOfzbB/73vflx8s/kqZJo3m55lSyroRGqyEgIoDAiEAcTB2Y0nAK1Wyr6faRPhZC5Idao2X55kj+8o3D2kJJh8YWlLVXEZ+o5djFBO49TqNuVVNmveuIrZWqWGI8EXyCCTsmEJUYRZvKbWjg0gAFCi49vMTh24exMrHi29e/pX2VkjFqozS4d+8ebm5uuvtruTl27Bienp65rlFerlw5Hj9+zOXLl5k4cSJ79+4lPj4+xx+Dly9fnvj4eGJich45rtVqsbS0zPFGf5MmTXBycmLnzp25xg8wfvx4KlasyKRJ+v9otjClJT7O12gdI3MnjErQ+m0Z95ifZWJigrOzM23atOHjjz/ONHJm+PDhrFmzht9++43hw4frno+KiqJbt26cOnUq1+Pdu3cv0yixjOMHBgZmu4xImzZtOHbsGL6+vrRt2xaATz75hEWLFuHm5kbFihWzPc6jR4+4efMmY8aM0U1pdvfuXSpXroy7uzt3797NNc4Md+7c4d9//+Xw4cNs27aNhw/T18oaMWIEq1atAtIHQNjY2OheB1vbvNdCrl+/Pv7+/qxbt46BA7NONanVajEzMyMlJQV/f3/q1k0f9T1z5kxmzZrFyJEjWblyZbZ1V69enaCgILZt20bPnj2Ji4vTJetatmyZY0xnz54lJSWFhw8fFnmu41lF9g20cuXKVK5cuagOV2DPZlwTEhJ0J91/PftG++w+Gf/O6Y34v/vnleE1NTXNNETsvxeBzs0saVHHnL2n49h3Jp6LN5JQqRRUdDZi+igHWtazwNjoxfiFW2nx2itWtKxnzt7T8ew7E8/5a0kYqRRUKm/MjLcdaVnPHCOV9ElOVEoVX3T4gmENh7Hefz37bu4jOikaMyMzGlVoxLwu82hcofEL88tNUTJVKVOFvSP2cvj2Ydb5r8MnwIdUdSqOlo580OID+nn1w9HSsbjDNKj29VJoVC2V01eNOR9kzOVgI4xUUMFBzbvdkqlVMY1iHnz7UlEqlSwbPJ4bD/rzzf61nHm4i1sJx1BiQlmj6oxpMIGRrV/FJIcfpQjDUygUDO5qS5fmluw6Gc/hc/GcuJSIibGC6hVNeLuXHY1rmqFUyvVJCENq59KOxmUbczjsMIfvHyYwIhClQomrpSsf1/uYFuVaYKw0Lu4whRClmEqp4H3vMvRpb82OY3Ec908kNkGDmYkCLw9TJg0pg5eHabF+B23p3pJj7x5j57Wd+AT48Kffn2jR4mbrxuxOs+nh2QNLkxdvJE5JceXKFXx9ffniiy+y3X7r1i0eP35M7969qVWrlu6G782bN3U3m58VExPDkydPchwtkEGhUODr65vj9uDgYObMmaNXG6ZPn46rqyuenp6ZpsUqLiUtefO8/pu8ya+JEydy6tQpatSowdy5c2nevDmOjo66aQFdXV0JCwsjNTX7aRwtLbP/u8+YOevZsR7R0dEAhIaGEhoammtciYkFm9EjIx/w5ptv8u233/L222+zfv16Vq9ezaxZs3Bzc8t0j1ufRA+gW0rFySn7c0ehUFC2bFnCwsKyHTWX036QnrANCgrS7ZfxegGcOHEiz9gK+poVlNwZyIGLi4vu32FhYTkme8LCwgCwsbHJNK9ixv6RkZEkJCTkmMHP2P/Z4z0vawsl/TrY0K9D9rGKomdjqaL/qzb0f1X65HlVtKvIZ20/47O2nxV3KOIlpVKq6Fi1Ix2rvhiLPevDxkJL50YpdG6UUtyhiP9Xvbwzv771MfBxcYci/p+jnRFvdbPlrW76fSERQhSclbEVPSr1oEel4r85JYR4cVUoa8zovvaM7qv/dKxFydzYnH51+tGvTr/iDuWl07lzZxo1asSoUaOyvY+3YMECatSowc8//wyAt7c3v//+O8uWLeOnn37KUn7FihXY29vrZhbKTdOmTXPcFh8fT/PmzfVqQ9myZSlfvjyff/55iUj2iPT1YzZu3AikT2dWo0aNLNszRsQYQsb962nTpvHVV18ZrN68WFhY8NNPP+Hj44NGo+HcuXO4ubllGgARHR2tV8Inow2PH2c/Kkyr1fLkyRMg+wEWGduyk1Fnxn7P3u9PSUnB2Lhk/7hIfpubg2eH/Oc2RUTGtow1dLLb//Lly3nun91QOyGEEEIIIYQQQgghRPGrXLkyxsbGdOjQgQMHDqDRpE9tnZCQwKxZswgKCuLIkSO6ad5ef/11xo4dyy+//MK8efN0v/hPSEhg4cKFLFu2jG3btunW+XleHh4e5GeVjvj4eIKCggp0TGE4T548IT4+njJlymRJ9ED6vWO1Out64M8r4x52fqdENsSoRmtra93fR0pK+o9LbWxsdFMonj59Wq96qlevDqSPtstOUFAQKSkpqFQqPLKZ7vzq1avZ7peQkEBISEimY9ja2uqSu7nd4y8pJNmTgxo1aujmLdyzZ0+2ZeLj4zl27BiQnt1/VqtWrTA3N891/+DgYN3J9d/9hRBCCCGEEEIIIYQQJceSJUtwcXFh8ODBODo60rhxY9566y3q1q3LgQMHsqzV8eOPP7Jhwwb27t2Lu7s7np6etGrViujoaM6fP88rr7xS4JgGDBjA8ePH9Sp76tQpwsPDM41WEMUr4/5xTExMtlOAffPNNwY93uuvv46JiQm7du3KV9IvI87cpinLaaRNhps3b+rKVKv2v3UWe/fuDcCiRYv0iqVLly4A/PLLLyQlJWXZvmTJEiB9jZ3sprg7efIkFy9ezPL8qlWrSEpKwt3dPVPirW/fvgB89913esVXnCTZk4u33noLgA0bNmS78NSyZcuIi4tDpVIxePDgTNssLS154403AFi+fHmm+f0yzJ8/H0jPamac1EIIIYQQQgghhBBCiJLnzTff5NChQzx69IiIiAjOnTvH5s2b6dOnT44jH7y9vfH19eXx48dcu3aNCxcuMHv2bBwdDbP+65gxY1iyZAnJycm5louLi+O9994DyHa0gygednZ21K5dm7S0ND766CPdiBe1Ws38+fPx8fHRrd1jCC4uLnz44YekpqbSpUuXLOtBabVa/v33X8aOHcvt27d1z5ctWxZra2seP36c48iYevXqMXbsWM6cOaMb+Zbh6NGj9OnTB61WS7169WjQoIFu26RJk7C1tWX//v2MGjWKyMhI3TaNRsOuXbvYsWOH7rmBAwdSsWJFHj16xPDhw3Vr+AD8+eefumkTJ0+enG2cRkZGDB8+nODgYN1zx48fZ/r06QB88sknmf6eP/vsM8qUKcOaNWuYOHEiUVFRmeqLiIhg1apVRTotXk5eimRPZGQkT58+1T2eHWb57PPPnhiQ3rHOzs4kJCTw+uuvc/78eSB9mNny5ct1C7K9++67uqFdz/ryyy+xtLTkwYMH9OjRQ5ctjY+P58svv2TFihUAfP7559jbl8y5YIUQQgghhBBCCCGEECVTmTJl6NKlC127diUgICDbMkePHuWVV17h4sWLKBQKhgwZUsRRitzMmzcPhULBTz/9RPny5WnSpAnOzs5MnjyZadOmUb58eYMeb86cOQwZMoQ7d+7Qvn17ypcvT7Nmzahfvz62trY0a9aMFStW6BJPkD6NW//+/QFo2LAhTZo0oV27drRr105XJikpiRUrVtC8eXPs7OyoV68ejRo1wsnJibZt2xIYGIirqysbNmzIlEypWLEimzdvxtramlWrVlGuXDnq169P3bp1sbGx4fXXX+fcuXO68hYWFmzcuBFbW1t8fHxwdnamSZMmVKxYkaFDh5KWlsbnn3/Oa6+9lm37R48eTUREBFWrVqVBgwZ4enrSunVrIiMj6dGjB+PGjctU3tXVle3bt+Po6MjixYtxcnKibt26NG/eHA8PDxwdHRk1alS+p8YrDEbFHUBRaNCgQaZMXYYFCxawYMEC3X8PGzaM1atX6/7b1taWHTt20KVLF65cuULjxo2xtrYmKSmJ1NRUIH36tcWLF2d73MqVK7Nx40b69+/PsWPHqF69Ora2tsTFxenmWhw+fDiTJk0yYGuFEEIIIYQQQgghhBAvi/Hjx7Ny5Urq169PpUqV8PLywtbWlpiYGC5evEhoaKiubK1atRg1alQxRiv+q0ePHuzevZsvv/wSPz8/rl+/Tu3atfnuu+8YPHgwv//+u0GPZ2RkxB9//MHAgQP55ZdfOH36NH5+ftjb21O9enVatGhBv379sgxu+P7777G2tmbbtm34+/vr7o9nCAgIYNeuXezdu5fr168TEhJCXFwctra2tG7dmh49ejBmzBisra2zxNSxY0cCAwNZsGABe/bs4dq1a5ibm+Ph4UGXLl0YOnRopvLNmjXD39+fefPmsWfPHi5duoSlpSWdO3dmwoQJdOvWLcf2Ozo68u+//zJt2jR2795NeHg4NWrUYOTIkUycOBGlMuv4mJYtW3LlyhW+//57duzYwa1bt1Cr1VSoUIGuXbvSo0cP3XRvxUmhzc8KXqVUpUqVsk32/Nd/kz0ZHj16xPz589mxYwehoaGYmZnh5eXFsGHDGDlyZLYnwLNu3brF/Pnz2b9/P/fv38fa2pqGDRsyevRo3VRv+XXv3j3c3NwIDQ3VLWIlhBBCPI+C/vrEy8urUOsTJY+cMyVPSX8NDfErNzlvXj7Sx0IIIQrbi3R/7c6dO3Tt2pWgoKBMoyaevfVbr149/vnnn1LfViGex8yZM5k1axYzZsxg5syZxR1OoXgpRvZkt95OfpQrV45vv/2Wb7/99rn29/Dw4Oeffy5QDEIIIYQQQgghhBBCCJGdypUrExgYyMqVK9m6dSuXLl0iMjISBwcHGjZsSL9+/Rg6dGieP1oXQpReRZLsSUlJ4a+//mL//v08ePCAMmXK0KpVK7y9vSlTpkxRhCCEEEIIIYQQQgghhBAvLGNjY8aMGcOYMWOKOxQhRDEwSLLH2toapVLJ+fPnqVq1aqZt169fp2/fvly7dk33nFarZf369UydOpV58+YxevRoQ4QhhBBCCCGEEEIIIYQQIhdJSUmYmZkVdxhCCAMzSLInPj4ehUKBRqPJ8nyPHj24desWWq0WIyMjmjZtipubG8nJydy6dYuxY8cSEBDADz/8YIhQhBBCCCGEEEIIIYQQQuTAysqKtLS04g5DCGFghTpJ42+//cbNmzcBGDhwIGFhYRw/fpz169fz119/4e/vz82bNwkODuabb74pzFCEEEIIIYQQQgghhBDipZaSkpLlB/tCvAxmzpyJVqtl5syZxR1KoSnUNXv+/vtvADp27MjatWuzLVOlShX+/vtvevTowaBBg3B1dS3MkIQQQgghhBBCCCGEEKLUWLt2LQsXLuTjjz9myJAhuud//fVXdu3ahZmZGcbGxqhUqlzrUavVXL9+HYVCUdghCyGKQaEme+7cuYNCoWDy5Mm5llOpVEyZMoUVK1bw1VdfFWZIQgghhBBCCCGEEEIIUWp88MEHREZGMmHChEzJHnt7e/7+++98JW+0Wq0ke4R4QRXqNG4mJiYANGnSJM+yLVq0YP/+/YUZjhBCCCGEEEIIIYQQQpQqFStWzPT/Gbp27YqJiQlarVbvhxDixVXgZE9uczw2atQIgMTExDzrMTIyIiwsrKDhCCGEEEIIIYQQQgghxAvjn3/+YdGiRWzbti3T85aWlnh6evLZZ5+RlpaGRqPJ9ZGWlsbx48eLqRVCiMJW4Gncckv2jB07lnXr1nH8+HH69OmTaz2hoaE8fvy4oOEIIYQQQgghRL4FBgYWaH8vLy8DRSKEEEIIkZmrqysfffRRttu8vLyoXLkySmXev+lXKpW88sorGBkV6soeQohiUuC/7OTkZN2/lyxZQq1atbC1tcXMzAyVSkXdunWZMmUKHTp0wNbWNsd6Nm3ahKOjY0HDEUIIIYQQQgghhBBCiJfC2LFjsbGxydc+v//+eyFFI4QoTgZJ47Zo0QJLS0tCQ0N1U7Gp1WoSEhIwNTUlNTWVOXPm8M0332S7f2BgIPPnz6d79+6GCEcIIYQQQgghhBBCCCFeeGZmZiQlJRESEoKlpSUODg557vPmm28WQWRCiKJW4GSPpaUlJ06ceK59nzx5wsyZM9m2bRvDhw/ngw8+KGg4QgghhBBCCCGEEEII8VLo2rUrERERAJQpU4Zr167plfARQrx4inWCxnv37vHKK6/w3XffYWxsXJyhCCGEEEIIIYQQQgghRKliZGSEVqvFyMiIY8eOSaJHiJdY3it3FaIGDRowePBgSfQIIYQQQgghhBBCCCFEPnl7ewNQoUIFPD099drntddeK8yQhBDFpFiTPc+Kiooq7hCEEEIIIYQQQgghhBCi1Jg7dy7t27fn/v37PH78WK999u3bV8hRidJk9erVKBQKhg8fXqxxzJw5E4VCwcyZM4s1jtKsRCR7Ro8ejYODA2PHji3uUIQQQgghhBBCCCGEEKJUsLS0ZP/+/UyaNIkBAwYQFhaWa3n5wb3hhYSEMHHiRLy8vLC0tMTc3JyKFSvyyiuvMGnSJPbu3VtssUVFRTFz5ky+++67YouhsCUlJfHXX3/x9ttv6/rAzMyMqlWrMnbsWG7evFncIRaZYl2zJ8O6devQarX8+eefLF++vLjDEUIIIYQQQgghhBBCiBKve/fuREREYGpqypUrV6hUqRJVq1albNmyGBllvvWr0WgICQkppkhfTIcOHaJ3797ExsaiUqlwc3PDycmJiIgITp8+zalTp/jtt994+vRpscQXFRXFrFmzcHd358MPP8y2jK2tLTVq1KB8+fJFG5yBzJkzh6+++goAMzMzqlWrhlqtJigoiBUrVvD777/j4+ND9+7diznSwlcikj0DBgxg5cqVDBw4sLhDEUIIIYQQQgghhBBCiFLB3d2dXbt2oVAoANBqtVy/fp0bN25kW16r1erKioKJiYnhzTffJDY2ltdff51ly5bh7u6u2x4VFcW2bdvYuHFjMUaZtz59+tCnT5/iDuO5abVa2rdvz4QJE+jatSumpqYAPHr0iJEjR7Jr1y4GDhxIUFAQzs7OxRxt4SoR07j98ssvPH36lJ9//rm4QxFCCCGEEEIIIYQQQohSoXfv3gCYmpri5uaGu7s77u7uVKxYMcvD1dUVMzOz4g34BbJr1y6ePn2KjY0NGzduzJToAbCzs2PYsGHs3LmzmCJ8OXz00UccOnSIXr166RI9AOXKlWPDhg04OTkRFxfH+vXrizHKolEikj0AZcqUKe4QhBBCCCGEEEIIIYQQotRo0qQJAFu2bOHu3bvcuXMnx0dwcDC3bt0q5ohfHLdv3wagevXqWFhY5GtfrVbLhg0b6NSpEw4ODpiamlKlShU++OADHj58mKW8r68vCoWCdu3aodFo+P777/Hy8sLMzIxy5coxatQonjx5kmmf4cOHU7lyZQCCg4NRKBSZHhlWr16NQqFg+PDhBT7msyIiIpg2bZpuHR1ra2uaN2/OL7/8gkajydfrlRsHB4cct2UcE8hxtNuLpERM45ZBrVajUqmKOwwhhBBCCCGEEEIIIYQo8ezs7HBzc8PW1lav8uXLl5fRPQZiY2MDQFBQEFFRUdjZ2em1X2pqKoMHD2bTpk0AuLi44ObmRlBQEEuXLmXz5s34+vpSvXr1bPcfOnQo69ato1q1alStWpXr16+zatUqzpw5w/nz53WjW6pXr07jxo05d+4cpqamNG7c+Lnbqu8xM1y+fJkuXboQFhaGiYkJVatWJTk5mX///ZczZ86wb98+Nm7cWCRTCiYlJQFgbm5e6McqbiUi2bN79266d++OQqEgLi5O3nCEEEIIIYQQopQJDAws0P5eXl4GikQIIYR4uaxatYqaNWvqXX7Pnj2FGM3Lo3PnziiVSqKjo+nYsSNTpkyhY8eOeSbepk+fzqZNm2jQoAGrVq2ifv36ACQmJvLJJ5/w448/MnjwYM6ePZtl35MnT1K2bFnOnDlD06ZNgfQRK6+++iqXL1/mt99+Y8yYMQBMnTqVQYMGUblyZZydnTl+/PhztTM/xwSIj4+nV69ehIWF8cEHHzB79mxdYuzKlSt4e3uzefNmfvzxR957773niklfjx494siRIwC0bNmyUI9VEhh0GrcjR47QvXt3ypcvj5WVFfXr12fGjBm5DucCsLe3R6vVotVqs2QBhRBCCCGEEEIIIYQQQmSvTJky2Nvb612+devWhRiN/sKj1dwISdH7ER6tLu6QM6levTqzZ88G4Pz58/Tr1w97e3s8PT0ZMWIEPj4+JCcnZ9rnyZMnLF68GBsbG7Zv365L9ED6yJOlS5fSpEkTzp07x7Fjx7IcMzU1laVLl+qSLhlxfPrpp0D6oApDy+8xV61axa1bt+jTpw/ff/+9LtEDUKtWLdatW4dCoeDbb781eKz/NXHiRJKTk6levTq9evUq9OMVN4ON7Fm8eDGTJk3SJW0ALl26REBAAIsXL+bbb7/l7bffznbfZ+c0LIqhW0IIIYQQQgghhBBCCPEiaNu2LTExMXqXDw4OZtmyZVy+fJkyZcrw+uuv4+3tjVJZtMu7/3Mslt936R/3W91sGN7drvACeg5Tp06lRYsWLFy4kAMHDpCSksL169e5fv06q1evpmLFiqxZs4Z27doBsGvXLpKTk+nZsyeurq5Z6lMqlXTv3p2zZ89y5MiRLIk5e3t7+vbtm2W/jLWbMtYRMqT8HvOvv/4CyDEXULduXSpVqsTt27e5d+9etq+DISxfvpx169ahUqlYvXo1RkYlYpKzQmWQFl68eJFJkybpFlZq2rQpTZs2RavV4u/vz4kTJxg9ejR+fn788MMPWRI6xsbGhghDCCGEEEIIIYQQQgghXipxcXF6lz137hwdO3YkNjYWAK1Wy7p16/j666/ZsWNHod14z06P1ta8Utci74L/z8G2ZK713r59e9q3b09iYiLnzp3jzJkz7Nq1C19fX0JCQujWrRsXLlzA09OTgIAAAE6fPk2rVq2yre/Ro0cAhIWFZdnm4eGR7T5OTk5A/s4FfeX3mBltnD59OnPnzs1236dPnwLpbSyMc27Hjh188MEHACxbtowWLVoY/BglkUGSPT/88AMajQYzMzNWr16Nt7d3pu137txh5syZLF++nPDwcNauXYtK9b8/zqLOGgshhBBCCCGEEEIIIcSL4s6dO5w/fx47Oztat26d41IZX3zxhW4UUMWKFWnWrBn37t3j9OnTtGzZkuPHj+Pm5lYkMTvYqkpsAud5mJub07p1a1q3bs0nn3zC8ePH6dq1K/Hx8SxatIhffvmF6OhoAEJDQwkNDc21vsTExCzPWVpaZls24/56xoxbhpTfY2a08fz583nWnV0bn+Xn58f48eOzPN+tWzemTp2a7T5Hjx7F29ubtLQ05s6dy+jRo/OM40VhkCzL4cOHUSgUTJkyJUuiB6By5cqsWbOGrVu3snfvXvr3709aWpohDi2EEEIIIYQQQgghhBAvtapVq/Lmm2/SpUsXypcvz88//5xtuXPnzqFQKOjbty9BQUH4+Phw4sQJzp8/j4mJCRMnTiziyF9crVq1Yty4cQD8+++/AFhZWQEwbdo03XIoOT1Wr15dXKEXSEYbg4KC8mxjxvR2OYmOjubEiRNZHjdu3Mi2/Pnz5+nRoweJiYl8+umnTJkyxdDNK9EMkuy5f/8+QJ6LHPXq1YuTJ0/i7+/PG2+8QWpqqiEOL4QQQgghhBBCCCGEEC+dU6dOAWS6gR4VFcXYsWNZvHhxlvKRkZFA+hRbzy6tUb9+fQ4cOMDevXvx8/MrmuBfAlWqVAEgJSUFgFq1agEQGBhYJMf/73IqRcGQbWzXrp3eibCrV6/StWtXYmJiGD16NPPnzy/w8UsbgyR7zMzMALC2ts6zbM2aNTl+/DjBwcH07dtXEj5CCCGEEEIIIYQQQgjxHH744QcAXFxcmDdvHv/88w+rVq2ic+fOTJkyhVu3bmUqn7HmenbrsLi7u/P++++zdevWwg/8BfD06dM8p007efIkANWqVQPg9ddfx8TEhF27dhEUFFToMZqbmwN5T5dmSH379gVgyZIlhTKtXHbu3r1Lp06dePr0KYMGDeLHH38skuOWNAZJ9mRk6/775pGT8uXL4+vry9OnT+nduzfJycmGCEMIIYQQQgghhBBCCCFeGmfPnqV9+/YEBQXx2Wef8frrrzN8+HB2795Nv379WLJkSbb7WVhYZPt8v379OHjwYGGG/ML4888/qV+/Pr/88gvh4eGZtkVFRTF9+nT+/PNPAEaMGAGkJ+U+/PBDUlNT6dKlC76+vpn202q1/Pvvv4wdO5bbt28XOMayZctibW3N48ePuXr1aoHr08fo0aOpUqUKhw8fZvDgwTx48CDT9ri4ODZu3GiwKQMfPXpEp06dCAsLo2fPnqxZs0a3ntDLxsgQlbz55pucOnWKVatW0bFjR732sbOz48CBA/Ts2ZMhQ4YYIgwhhBBCCCGEEEIIIYR4aYSGhrJ582bdCI5nTZkyhX79+mW7X07Te1WrVo2QkBCDxviiUigUXLp0iXfffZd3332XypUrU7ZsWSIjIwkODtZN3fbJJ5/Qp08f3X5z5szh/v37/Pnnn7Rv3x5nZ2cqVqxIcnIyt2/fJjY2FoAJEyYYJMb+/fuzatUqGjZsiJeXF5aWlgBZEk2GYmVlxc6dO+nWrRvr16/Hx8eHGjVqYGNjQ2RkJLdu3UKtVtOsWTODHG/69OncvHkTSF9uJqd1gLp168bUqVMNcsySyiDJntGjR7Nq1Sp8fHzQaDQMGzaMDh06YGpqmut+lpaW7Nq1i379+unm8NNqtcUyl6AQQgghhBBCCCGEEEKUJjY2Nnh6ema7rWrVqpkSN/pMqWVqasqTJ08MFt+LbNy4cdStW5fdu3dz4sQJ7t27x8WLFzEyMsLd3Z0WLVrwzjvv0KpVq0z7GRkZ8ccffzBw4EB++eUXTp8+jZ+fH/b29lSvXp0WLVrQr18/qlevbpA4v//+e6ytrdm2bRv+/v5FsqyKp6cn/v7+/Pjjj2zdupWrV69y+/ZtypcvT9u2benWrRtvvPGGQY717Kxh586dy7Fc1apVDXK8kkyhNdDEeaGhofz222/ExMQQHBxM9erVmTNnjl77pqWlMXjwYDZv3kxiYiImlKbqqgAA0x9JREFUJiaGCOmFdu/ePdzc3AgNDcXV1bW4wxFCCFGKFXTRRC8vr0KtT5Q8cs6UPCX9NTTE4qyFfd6U9NewNJA+EUIIUdq8CPfXunTpwtKlS7NNDFy6dIkGDRoQHR2NlZUV4eHhlC1bFoVCQVJSEsbGxln2uXbtGk2bNiUmJqYowhdCGJBBRvYAuLm5MX369OcLwsiIDRs28MMPP8ioHiGEEEIIIYQQQgghhNBDv379+Prrr1m1alWm57VaLVOnTsXExITevXvz+++/s3XrVt12Pz8/mjZtmqW+TZs2UbFixUKPWwhheAZL9hSUQqFg/PjxxR2GEEIIIYQQQgghhBBClAqDBg1i0qRJPH36FG9vb5ycnLh27RorV64kMDCQfv364e7ujpubG5B+D9bZ2ZkxY8bg6+uLjY2Nri4/Pz8WLFjAwIEDi6s5QogCKDHJHiGEEEIIIYQQQgghhBD6s7S05JNPPmH69Ons3LlT93zGuujvv/8+LVq04MiRI5w9exaFQsHChQtZs2YNXl5ejBw5EldXVy5dusTKlStJSkpi1KhRxdgiIcTzkmSPEEIIIYQQQgghhBBClFLTpk0jLi6OxYsXk5qaCoCZmRlffvklrVu3BmDv3r1s3rwZS0tLBg4cSM2aNWnUqBGzZ8/W1aPVavnggw+ynd5NCFHySbJHCCGEEEIIIYQQQgghSimFQsHXX3/NpEmTOHnyJFqtlubNm+Pk5KQrY2dnx9tvv6377/r16/Pbb7+xcOFCbt26RcWKFfnggw8YO3ZscTRBCGEAyuIOoCRTKBR6P9q3b59l/5kzZ+q1782bN4uhdUIIIYQQQgghhBBCiBeFg4MDPXr0oGfPnpkSPTl56623uHTpEvHx8Vy9elUSPUKUcjKyJxflypXLdXtqaioREREANGnSJMdyxsbGlClTJsftRkbSDUIIIYQQQgghhBBCCCGEeD6SZcjFw4cPc92+aNEiPvnkE4BcFy575ZVX8PX1NWRoQgghhBBCCCGEEEIIIYQQgIGmcZs4caIhqmHcuHEGqaeorFy5EoBWrVpRo0aNYo5GCCGEEEIIIYQQQgghhBAvI4OM7FmzZg3ffvttgev5448/+PHHHw0QUeE7efIkV69eBci0uJkQQgghhBBCiBdfYGBggfb38vIyUCRCCCGEEEIYaGRPZGSkLvHxvM6fP09CQoIhwikSGaN6bGxs6N+/fzFHI4QQQgghhBBCCCGEKGyJiYnMmzeP+vXrY2lpiaWlJS1atGD9+vVZyiYnJ7No0SIaNmyIlZUVVlZW1K9fn6+++qpU3QcVQpQOBluzx8vLC1NT0+faNy0tDbVabahQCl1cXBwbN24EYNCgQVhYWORa/vLly3h5eXHr1i1UKhUVKlSgTZs2jBs3jgYNGhgsruQUDb4XEth3Jp4nkWpUSqjobEz3VlY08jRDqVQY7FhCP0kpGg6fS2D/mXieRqf3iXt5Y3q0tqZhDVMUCumTvDyNf8qmwE3sC9pHVFIU5kbmNK7QmMH1B1OjrEyfKAqfVqvlXNg51vmv4+rjq6SoU3CycqKnZ0961uqJlYlVcYdocEkpcPaGMeeDjIlNUKBSgqujmpZeqVRxViNvXUXvUXQ0C/ZuxDdkF4maCJQYU968Bu80G8objZuiVBrk9zsiH+ISNOw7E8/h8/FExWowNlJQw92Enq2t8KxkUuzXeI1Ww6XwS+wN3UtIXAgarQYHMwfaubSjdfnWmKqe73O7EPkRnwRnrplw8ZYR8UkKjFTgXk5Nq9opVHTS5Lu+FHUKxx8e53DYYZ4mPUWpUOJm5UZn187Ud6yPUiHvhaL0iYpVs+tkHMf9E4mJ12BmrKB2FVN6trHCw9WkuMN7KUXEqNn9/30Sm6DBzERBHY/0PqnsUvx9kqZJ4+Ctg2wK2ERwVDAArjau9K/Tn05VO2GsMi7mCF9skZGRdOjQgYsXL2JtbU2ZMmUICwvj9OnTnD59msuXL/PVV18BEBMTw2uvvcbJkycBMDc3JykpCX9/f/z9/fnjjz84ceIEjo6OxdkkIcQLxGDJHoCkpKQC7V/cX4r1tWHDBuLi4gD9pnB7+vQpERER2NnZERMTw40bN7hx4wYrV65k6tSpuotAbpKTk0lOTtb9d2xsbKbtJy4lsOCPCGLiNTTyNKNFHXPUGrh4PYnPfniCe3ljZr3jSEVnuegXlaN+CSxaG0FcoobGNf/XJxeuJTFpyWOquBgz811HXJ2kT7Kj1Wr54dQP/HjmRxQKBZ2qdqKZdTPiUuLYd3Mfa/3X0tGjIwu7LcTa1Lq4wxUvqPsx93lv+3tceniJSvaVaFOpDSYqE25H3GbGwRnMPzqfGa/OoG/tvsUdqsGcuWbM5mNmpKRBbfc0KpVTk6aGqyFGnNtqgruTmpFdErC31hZ3qC+NaX/9zsab36BRJONq1IpqtvVIVidzLeYEk48O5usjXvw56EdqVqhQ3KG+NLYdjeWnv6JITdPSvI45XlVMSUrV8m9gIntPx1OnqikzRjlSxlZVLPGFxYcx328+wXHBuFu508CxASqFiruxd/kh8AdWX1/Ne17v0aJci2KJT7z4tFo47G/CzjOmaLRQp3IaHuXVJKcpuHzXiNNXTajhmsbwzolYmul3PTn7+CxLApYQkxpDPYd6NHVqilqrJiAigFnnZ+Fq6crkBpNxs3Ir5NYJYRharZY/98Tw5+5oAFrVs6BeVRUJyVpOXkrkn+Nx/8fefcdHVSVsHP9Ny6R3SIAAobfQQUA60nRBQFFEFBRcO6Jrd11XbKyKYmVXXwuoCIgNbKD0IiC9Su+EGiCkTpKZef+IRGLahMwkM+T5fj6jYe69Z54759Y599xLxwR/nro9muAANWSWB6fTydQfkvl83nmMRgNdWgZQJdxEeqaTpRvTmb00lc4tAnhiVBRBFVQnm45tYux3Yzl6/iitq7WmR50eGDCw8fhGxn43ltjgWN4Y8Abt49pXSL7KYM6cOSQmJjJr1iwGDx6M2Wzm2LFj3HHHHfz4449MmDCB0aNHU7duXbZt28avv/7KU089xdixY4mNjSU5OZk33niD8ePHs2vXLsaOHVtojyARkUthcDqdZf61JiwsjJSUFEwmE9dccw2RkZGlmt7pdLJt2zbWr1/vEz18OnbsyOrVq2nZsiUbN24scrxp06aRmJjIoEGDqFOnDhaLhaysLBYvXsxTTz3FunXrAJg4cSIPP/xwsZ/57LPPMn78+ALvHz58mH2nInnug9N0ahHA3UPCqXFR44HT6WTrXhuTpp/lzHk7bz0SQ60YNS542qK1abzwcRJdWwVw55AIqkf/2a7qdDrZvNvG69PPkJLm4O1HY6hRRXXyVy8teokP133IvR3vZUzbMYQHhOcNy7Zn89Oun3hm/jPUiajDtBunEehXfA87kdI6nnKcoZ8PxWQw8ULfF+hcu3O+K4YTzyfy+vLX+Wb7N7zY90VuanFTBaYtmwvPHFixzcLMJQF0aJzFNe1t+Rp0HE7YedjEzCUBOJ3wj+vTCAvKHf7XZw7oGQbu84+Z7zP78Ms0CRjEy4MfptlFDTo5djsfLlvApNXPYDSYmT3yKxrExpRLLnfXsS8tM1/MP8//vj7HwK7BjLwmjKiLGnTsDie/bcvk9c/P4O9n4O1HYggPKZ8GnwvfYWJaIo+vepxQv1DubXYvTSOa5rug6lj6MabunMqqE6t4pOUjdKnWBfD8d1jWOgbPLze+tBx6qwvf4U9r/PhpjT89Wtro0zqLkMA/9yd2B2zdb2bmUn9CApyMG5JG4B8dzYqqk1UnVvHyhpdpV7Udtze6nepB1fPGcTqd7Di3g/9u+y9nbGf4T4f/EBccV2h57qZlRsri/W/OMuOXFIb3DeXG3iGEBf+5v8ixO1m2IZ1J089QvYqFSQ9WJcBfDT6e9u6XZ/lqYQq3XB3K0F4hhAb9WSfZOU6WrE/nzRlnqBVr4bUHq+LvV751svHYRm6ZeQuNqzbm2aueJSEm/zZk56mdjF84ng2JG5g6dCpX1LyiXPP5qiNHjlCzZk0OHz5MXFxciePffvvtDB48mEGDBuV7Py0tjYYNG5KYmMiMGTMYNmwYc+fOZdKkScybN69AOXfccQcffvghJpOJ06dPEx4e7q5ZEpFKzC2NPenp6UydOpU333yTY8eOce+99/LII48QFRXlchmpqalERESQnZ1d1jgedeGWbABvv/02999//yWVk5mZSbdu3VizZg3BwcEcOXKEsLCwIsf/a8+eo0eP0rRpU7bvPMg/3jXQqXkAT4+OAns6Z3d8SPKe6dgzTmIKqEpY/eGYat7Og2+m4G818t/HYyqsF5UjO63QfBGNx2C0BFV4ee5wJtnO8H8dpXvrQJ4YVXSdGONuZ9ybKYQGGXnn0dgKyeqtlu5fyu1f3c4zvZ5hVJtRRY639cRWhs8Yzk0tbuKfPf9ZjgnzqwzL9V95e0Z35Lv9y9vZlbSLr27+iqr+IYWWF95oNM8tfZXpm6bzy5hfqB1e28Nz5hlbt27l5DkjL00PonOzbIZ2zcTgyMB0ejamM3Mh+wxYIrFH9ue0/xBe/zaKGlF27h6QAbj4g6m98PLs0YPAFJBvVP34lWvxjt8Z891A2oYNZ8Yd48GeUehyeCiwLzd9dSuxfs1Z8uBH5ZLN3XVcXj+YlnXbsPdIFn9/6Tg39Q3lzsHhRY6XeDqHsa8ep2UDf565o3xuy3HhO3x05aOkZqfycseXCfULLXRch9PBpM2TWHViFf/X/f8It4Z7/Y/ioMaewnhif1yWMrdu3cr+4yYmfR3E367IpF+7rCLHPX7GyBvfBNGiTjY398q9Q0RhdZKSlcIdS+6gdXRrHm31KCZHVqHbmuSwq3hi7XjMBjOTrpyEwWDw+uX6ctnfeftxoTda98fdHu65Ppwbrip8Ww2w53AW414/Qf9OQYy90fWLar29Trzx/GnV1gyemnyKB4ZFMLh7SJFlngwcxcNvn2dg12DuuT6i3DJm27Pp+UFPYkNi+fSGTwmwBBQ6ni3Hxpivx7Dr9C6W3bkMq9m127Z6Y5142oWMhzd9Qutb17nc2HPvvffy9ttvYzIVvKDnuuuu45tvvmHBggX06tWLyZNz71Ryzz33FBh38+bNtGzZEoC1a9fStm3bss+UiFR6brkMITAwkHvuuYfff/+dDz/8kHnz5hEfH89jjz3GqVOnXCojODi42MYOb/HBBx8A4O/vz4gRIy65HH9/f1566SUgt6FrwYIFxY5vtVoJDQ3Ne4WE5N62avGGbBxOJ+NuigB7Okfm38SZLW9izzgOOLBnHOfMljc5v/Jm7h4cwK5DWfx+oOiTLk9yZKcVme/I/JtwZKdVaHnu8sOvqRgNBh4YFllsnaSsupm/XxvA9v1Z7DpUMXXirT7Z8AnNYpoxsvXIYsdLiElgZOuRzNo6i/SsinmwYWVZrn0pozvy7T+7n6UHlvJIl0eo6h9SZHlHFwzn8c4PEGwNZvom3+56v2KbBX8/J4OvzG3osex9EtOJzzFkJ2HAiSE7CdOJz6l64nEGtE9h+yELp5JdvHDAXnR5lr1Pgj3DszPno95a/AlmZzgfj3oa7BlFLodRux5lSJ27OJK9jI0HD1ZMWB+oY3dsG2YvTSUqzMSYgcUfs1aPNnPL1WEs3ZjO6XM5bpqDku1O3s2u5F2Mbjy6yIYeAKPByJ1N7gRg/pH55RVP3MwT+2N3lLl0ix9Vwuz0aVv88W1spIOrWttYt9tCWmbR+5MFRxeQ48jh7qZ3Y3JkFbmtiTj0ImMa3sL+lP3sOLejtLMul8jbjwu91beLU6hbw8LQXsXfjrp+TT+u7xXCvFVppGe69pwrb68Tbz1/+nZJCo1q+eU19BRVZtCuWxjU1cpPv6aSmVV+dbJw70KOpRzjud7PFdnQA2A1W3mu93MkpSfx066fyi2fJ8vzhIszOjNd+93ygsmTJxfa0AO5j3GoUaMGnTt3BqBnz54MGzas0HHr16+f93dR5Yl4ksFg8JlHqojr3Nrn1GAwMHToUNavX8/06dNZunQp8fHx/OMf/+DYsWMlTv/ll1+6M47bZWVl8dlnnwFw/fXXExHh+lUchenU6c/7pO/bt++Syli8PosebQIJCzZxdseH2M5uB/56wOHAdnY79QyfUi3azA/LUy89dBmUlO/sjg8rtDx3+XFFKle1DyQ40Fhixkamz6gaYeKHFZ6vE0dOultennY85TiL9y1mRMsRLu10hrccTqottdAD2Qybwy2v4lSW5fpiZcnoK3Xy5ZYviQiI4JpG15RYXsaeaQxNGMqsLbOwO7z/VqSFsTtyH6DdqUk2FjOYTs/GkLkPA/k7/xpwYsjcR7vwLwm0Oln1u2sPqC2pPNPp2W6bl8tFms3GlvPfc0XUEIKs1hKXw9G1UzA6A3hz4YyKiOsTdVzWbYMty8H839IY0CUYk6nk/VOfDkH4WQzMW1V+P2j8cvgXqvpXpU2VNiWOG+IXQtdqXfn5yM/lkMz9MmwObNmU6VXS/sTbeeKYoaxlpttg414znZtlY3Tht4OOTbJxOGHtrqJvafzLkV+4MvZKwq3hJW5r2jj2Uz2wOj8fLny53rp1a5levsZXjrsqE0dOOqfPpLJySwbXdvHDac8o8fzrmo4mMm1OFq0559I5mbfXiTeeP506m8Oa7Zlc2y3YpTK7xs4hLdPJ0g2uXczijowzt8ykdfXWNK3atMRx60bWpXPtzszcPLPc8rmzvIrddl26HTt2sGbNGj766COs1tweVU2aNCnyURcXLo4PCAigcePGbssh5Ss+Ph6DwcCUKVMqOopP+fbbb3n22WeLfTyKXBpzyaNcmgEDBjBgwADmzZvHCy+8QL169RgzZgxPPPEENYp4gHCPHj08FcctZs+ezenTp4Hce2t6gxNnHCTUy92JJO+ZTtE7Kgcpe6fTtM7NHD1VfleYXqykfMl7phPV/IEKK88dcuxOTpyx08zFOknd9zlN6gwnsRzqZO8XzdxSToOb97ulnKIcTj6MEydta7jWhTkuLI7YkFgOnit4NfvfHjrilkwLJ9cqclhlWK7/qiwZfaVODpw9QEJMAlazlaMulNe22bN8uPZDkjOTiQws3XPrvEF6poF0m4E61XIbq0xn5hb4Ie1PTgKSfyCuyihOJbt2zUhJ5ZnOzMUe47vPPPKEA6dO4TCm06Ve7sN1S1quzUe/INxYn6Mph8ot48V8oY7Lum1IOu8gM8uZd9xVkuAAI3WqWcr1uCsxPZGG4Q0xGVy7OrRxeGMWHF3gkw3VufuTonsvueZIsfsTb+eJY4aylnk2xYjdYaBOrGvLVEiAk6rhjiJ7ijqdTo6lH+Nvtf8GlLytsZydR6PwVhxLL/lCw8rAV467KpO9XzRj7/lmOJyTCd11A3uPunZuFeE3g23LFtDw8P8BxZ+TeXudeOP5U+KpHJxOXP5txf/kh0SGXk3iKdceQ+Cu85O+Dfq69HkAbaq34YstX5RbPneWV1HbrpSUFM6fP5/3b6vVmtdoUxyHw8GaNWu49957mTlzJn37ulZPF+7wc9111+Hv7+/SNCKXi2+//ZapU6cSHx9Pq1atKjrOZcXjT5Pr168fy5Yt44cffmDbtm3Uq1ePu+++m/37PfuDsSdcuIVb/fr16d69e5nLW7VqVd7fderUuaQynJDX+8GecbLYce0ZJzH8MU1FcCVfRZbnDheegHXhdNXlOin7o7MuGxe+CwOudyU1YMBZQUt2ZViuS5uhojO6I9/Fy5NL5RkKTudLLqTOW+uyzxQ5ruGP4aXq7O1CeZKfw5F/WXJtua64baEv1HFZtw1/7p9cZzD8eWxQHpw4S7f/1G0bfJon9sfuKrM0i5bhov8WJt9y7dL+qQK3hZWQtx8XerOiGy4LH9fp4vbd2+vEG8+f/loTLp3Hl2If7+7zE1cYMLj8O4M31omnFZahadOmhIWF5b0mTJhQbBn79+8nOjqaqKgoOnfuzIYNG3jkkUd4+umnSU0t+e4t//d//4e/vz/PPPPMJc+HiMhfeaxnz1/17NmTnj17snz5cl544QUaNWrE0KFDefLJJ2nevHl5xbhkhw4dYv783Huajx49usSTY6fTWew4NpuNf/4z94HyQUFBXHXVVZeUKzrMyI6DttxbigRU/eN+qIUz+ldl5+4sGtd27bY77lZSPlNA1Qotzx0sZgNRYSZ2Hsyif6eSMxr8Y9i5I4vWDV27Srgs6t24zeOf4Q5xYbkPRNx8fDP1ouqVOP6J1BOcSD1BXGjBByn+MKnkhyuWVWVYrgvLcKkZfaVO4sLimL19Nln2LJfK23J8C8F+wYT5e/+z5woT5O/EanFy6KSJ5nVywBIJ2UmFjusEsk1VOZpk5IpGrl3NWFJ5WHyvN5Sn1alSBYPDn98ObuIu+pa4HKabq5Ps2EfjoJJv3+URPlDHZd02RIaasJhhx0EbbRqXfPVlhs3BwWPZtG9a9H313S0mIIbtZ7fjcDowGkq+pmt38m6i/KMwGX3vPvE/TIpj+/btZSqjadOSb4XjzTxxzFDWMsODnRgNTg6dNBIfU3LvnvRMOHXeyBWNC9+fGAwGqgZUZXfybq7m6hK3NU5zBHvO7CE+JL7Ez64MfOW4qzKpd+M2ws7ZYfNZ0pt+Rb0OJe9Pzpx3cPbXMzS+8k7qdRlX4vjeXifeeP4UG5X709jOg1nUjLGUWGayoTFnku1505VHxpphNdl8fLNLnwe559M1wgq/q44n8rmzvIradm3fvj3fnYhK6tVjNBr57rvv6NixIzabjTlz5nD33Xfz4osvsnLlymKfzf3pp5+yatUq3n33XRo2bFi2mRERuYjHe/b8VZcuXZg7dy7Lly8nJSWF1q1b069fP376ybUHx1WUjz76CIfDgdls5rbbbitx/KVLl9K7d28+++wzjhz5swtqdnY2CxYsoGvXrqxevRqAZ555hvDw8EvK1b21HwvXpJOa7iCs/nCKrlIjhwPGcvhEDtdcGXxJn1VWJeXLHV5x5bnL1VcG8ctvuQ/QLCnjAesDHDudQ/9Onq8ToznQLS9Pqx5anc61OzNt0zSXxp+xaQZWs5VrGl1TYFiA1eiWV3Eqy3J9sbJk9JU6GZowlNPpp/ll9y8llhdQ9wa+2PIF1zW7DrOx3K6hcCuTEdo3yubX7RZy7GCP7F/M1aMG1mfcRWqGkY5F/Dj3VyWVZ4/sf0m5L2fBAf40DurHihNfYcvOLnE5nJHWFbvxPPd3L/wBsJ7mC3Vc1m1DgNVIr3ZBfL88Fbuj5CtlF6xJJ93mpF/HoNKHvUS943pzLP0Ym5NK/jEoPSedJYlL6FOjTzkkc78AqxGrhTK9StqfeDtPHDOUtcwgfyfN6+SwfKufS1e8r97ph8MB7RoWvT/pXaM3y44tIzU7tcRtzSa/thxKPUTvuN4lf3gl4CvHXZWJ0RxI1egQ2jf1Z87yLJfOv35abcdsMnDVFREunZN5e5144/lTbJSZVg2tzFmW6lKZq9PHYfUz0L2Na+fH7jo/WX14NXuS9pQ47uFzh1myfwk3Nr+x3PK5s7yK2naFhIQQGhqa9yqpsad27dp06tQJg8GAv78/N954I2+99RYACxcuLLKxZ8+ePYwdO5b77ruPe++9t9jPkMvL8ePHefvtt+nXrx/x8fH4+/sTERFB9+7d+fTTTwud5sCBAxgMBuLj4wH47LPPaNeuHYGBgURGRnLDDTcU+xz4zZs3M2jQICIiIggODqZDhw7MmFH8c14PHjzIXXfdRd26dbFarYSEhFC3bl2GDBlSYFq73c7s2bMZPXo0zZo1IywsjMDAQJo0acJjjz2W9ziUv87P1KlTAbj99tsxGAx5r2effbaEb1FKUmFnOHa7naysLBwOB/Pnz2fAgAEkJCRUVJxiORyOvAdtXXPNNVSrVq3EaZxOJwsWLODWW2+lZs2aBAYGUqVKFYKCgujduzdr1qzBaDTy1FNP8dhjj11ytp5tLNgdTv73zVnCG43GGtGUgtVqxBnSms83dCe+moUWDTzfi6QwEY3HFJnPGtGUiMZjKrQ8dxnQORhblpP3vzlXbJ04gtswY0NX6sdZaFa3YnpbeatbWt3ChsQNfL3t62LH25u0lynrpzC46WBCrCHllC6/yrJcX8zbM7ojX8PohnSo2YHXlr+Gs/Z1xZb32dlMzqSfYUSrEW6ag4rRNSGLlAwjc9dYsUcPwulfF+dFNxhxAk4MpBhb8N2O7jSskUNspGsPNC2uPKd/XezRgzwwR75vbNdRZBtPcc+0ScUu18f92jD75BJijR3pUL9+RUT1iTp2x7ZhULdgjifZmfnz+WLHO30uh09/TKZT8wCXr/p1hybhTagTUocpO6eQXswDvJ1OJ1N2TiHbkU3fmq7f/1+8iyf2x+4os2vzLI6fNbF0i6XY8ZLOG5i/3o9W9XIIDSy6ZahPXB+cOPlox0fkRF1b5LYmwy+eD0/uJy4ojhaRLUrMKe7h7ceF3mpw9xB2Hszip1+Lv9XT4RPZfLUwhd5XBBIc6NrPN95eJ956/jS4ewhb99r4ZXVasWUmmXsyd3sT+nYMItC//OqkX4N+RAdG89zC58i2F91AbnfYeX7R84T6hzKw8cByy+fJ8jyh6Ixlc/PNN+Pnl/v7zqZNmwoMP3/+PIMHD+bqq6/OaxiSyuODDz7ggQceYNmyZZjNZpo3b05oaChLly5l5MiR3HPPPcVO/+STT3Lrrbdy+vRpGjZsSHp6Ol9++SVdunQp0KgCuR0ROnbsyJw5c3A4HDRp0oRDhw4xfPhwXn311UI/48CBA7Rr147333+fEydO0KhRI+rXr09ycjLffvst//nPf/KNf+zYMQYPHszUqVM5e/Ys9evXp3bt2hw4cIBXX32V9u3bc+LEibzx/f396dy5M1Wr5vbwa9CgAZ07d8571arlu8/T9Bbl3tjz66+/0q9fP7p06ZJ3WzR/f3/uvfdevvvuu/KO45L58+dz8GDuw9/vuOMOl6Zp3rw5EydO5Prrr6dhw4YEBARw7tw5AgICaNmyJffffz8bN27kxRdfLFO2iBAjDw2P5McVaUycYSPois+JbD4OU0AsYMQUEEtajad5Y/tbHD3l4Knbooq8vdzWrVvL9CqJ0RJEXO8ZBfJFNh9HXO8ZGC2lu/LV3eW5S9VIM+NuimTOslQmzbIR1KFgnaRU/xevb32DE2cdPFlMnVRWfer34cbmN/L43Mf5YM0HZGRn5BvucDpYsn8Jw2cOJyY4hke7PlpBSSvPcu1LGd2Vb0K/CaTYUrjlqzs42/xfBcozNbqLKZbW/G/thzze/XHqR1XMj+zuUi3SwbWdMvl5vZWvV4WTHPcf7DE3gyUq9ypqSxT7/B5g4ubXsWUbualHRsmFXmAKILvehALl2WNuJrveBDCV322ufEm/Fi3pWfVelpx+jxFTXsXU9n/5lkODNYbVQXdw975TOAzZTB5a/H3FPcoH6tgd24bG8VZuvTqUD+Yk8+Hsc6Rm5G/wdDqdbN1rY9zrJ3EC44ZFeGZmimAwGHiwxYOcyDjBv377FwdTDhYY55ztHO9se4d5h+dxT7N7iPKPKteM4j6e2B+7o8yGNez0aGnjq+UBzF3rh+0vv0k6nbD7qIm3vg3CzwLXdc4strxwazj3NbuPBUcX8Ob29zkZ93iBbc3+0L/x5Fk/jqQl8nDLh3VsXY68/bjQW3VM8GdAl2Bem3aGGT+fJzOr4P5kzfYMHpp0gogQI3cOcX1/4u114q3nT11bBdCvYxAvf5rEV0vtVOk2Pf9xl381Doa+yCtr/01MhJkx14aXa0ar2cqkAZP47fBv/P2bv3Po3KEC4xxNPsq9s+9l8b7FvHbNawRYXDv+8tY68aSLMxr8q7ivXKORmjVrArm/dV4sJyeHoUOHUrt2bT755BOMRt/uYSyl16NHDxYuXEhKSgp79uxhzZo1HDx4kE2bNtGkSRP+97//sWTJkkKnPXr0KJMnT+bHH3/kwIEDbNy4kQMHDtCiRQuOHTvGxIkT842flpbGiBEjyMjIYOTIkRw7dow1a9Zw9OhRXnvttbxHi/zVa6+9xunTpxk1ahQnTpxg8+bNbNiwgaSkJH7//fcCvdFCQkKYMmUKp06dIjExkXXr1vH7779z7Ngx7r//fg4cOMATTzyRN35sbCzLly/n6quvBuCpp55i+fLlea/Ro0eX5SsWwOAspyfDL1++nPHjx7Nw4UIg9+AlKCiI++67j0ceeYTo6OjyiHHZOHLkCDVr1uTw4cPExcXx8+o0Jn1+BrvDSZeWgdSLs2B3wIadmWzabaNKuInn765Cw1pF9yBxpcGmON7aM6ui/PRrKm/OPIvT6aRrq0DqVM+9PdL6HZls2WsjJtLE83dVoX5N9eopjN1h56XFLzF1/VRC/UMZ0GgA1UOrk5qVytxdc9l/dj/t49rz7rXvEhWoH6rEM/ad2ced39zJ/rP7aRnbku51uuNn9mNv0l5+3PUjDoeDx7s/zu1tb6/oqGVy8fZ/0SY/5qy0YjRC63rZVA13kGM3sP2QmUMnTVQNt3PnNRlUDf/zR4m/bv+1P3Efh8PB2OnvMjfxbQxOCw0Ce1MrLB5bjo2Np5eSYthJoCOeD69/nyvqlfycM3dxdx370jLjdDr5fN55Pv4+GT+LgZ5tAqlRxYwt28nKLRnsOZJN3eoWXrinSrn26rn4O9x3fh8vrX+JU5mnaBrRlJZRLTEZTBxMOcjKEysxGozc3fRuror785mRnv4Oy1rH4PnlxpeWQ2914Tt0OOHH36z8st4PPzO0bZBNZIiDrBwDW/abOXbGRK0qdu64Op3w4D9PR4urk8WJi5m8bTI5jhw6xnQkPiQeh9PBljNb2HpmK1HWKJ5s8yQNwhq4VN6l0DIj7mR35N4N4suFKQT5G+jZLoiYSBMZmU6Wbkzn8IkcmtX1Y/ydVYgM9b1nq/kiu8PJf788y9eLUwkJNNKrXSBVIkykZThZtjGdIydzaFHfyvg7owkLrpg6WXFwBeO+H8e5jHN0q9ON1tVbY8DA5uObWbRvEcF+wbz+t9fpWbdnheTzRX/9fa04y5Yto3HjxlSpUnQDUUxMDCdPnmTbtm35ng84atQoDh48yE8//URAQMVfCOUtTqae5GTaSZfHrxpUlarB3vM8uPj4eA4ePMjHH3/s0mM/irJgwQJ69+7N3//+d95///289w8cOECdOnWA3IaYf/zjH/mm++6777j22mtp0aJFvt5kH374IXfccQc1atRg//79WCz5e1wPGjSIOXPmALnnNxf079+fefPmsWnTJlq0KHtP6Vq1apGUlERycjJm85/nRrfddhtTp04t8/cmBXn8DHTp0qWMHz+exYsXA7kLUHBwMPfffz8PP/wwUVH6kdYd+nYIolPzAOatSuXn1Wls3JWJyWSgVqyZZ8ZE0bllIBazrnArT1dfGUznlgHMW5XGz6vTWLcjE7PJQHw1C/++I5rOLQMwm1QnRTEZTfyr178Y1WYU0zdN5+c9P5OcmYy/2Z+2Ndoyod8E2tVopys3xaPqRtZl3u3zWLRvEZ9v+pyZW2aSbc8mOiiaBzo9wNCEoUQHXV4XK/RsmUXbBtms+t3Cut0Wth00YzZBjSg7d15jo2mtHHQRWvkxGo28O2Isu47dwCu/TGP18R/Zm74MI35UMTfk7tbjGN31KvzMvvm8KF9kMBgY0T+Mfh2D+PHXNBatTWPF5gz8LAYa1vLjjkHhtGvij9FYcfunuqF1+V+3/7H65GrmHp7L3MNzsTvsRPlHMbLRSHpV70WIX8Xc/lQqB6MBBnSw0blpFr9u92PDXjNpmWYsJqgdY+e6Lpk0rGGnNIdxPar3oF2Vdiw6uohFiYvYemYrRoORuKA4Hm75MJ1iOmExFn/rOBFvYjIauOf6CAZ3D+G75aks35jO+TQH/n4GmtW18o+bI2lR36rznXJkMhq4/8ZIhvQM4ftlqSzflEFKem6dJNSz8ugtkSTUq9g66Vy7M8vuXMYPO35g5paZfLbhM5w4qRlWk+f7PM/AxgMJ8qv4njOXq+3bt7N48WL+9a9/FTp87969nDx5ksGDB+dr6HniiSfYvn07CxcuVEPPX0zfNJ23Vrp+S7sHOj3AuM7jPJjIs1JSUpgxYwbLly/n2LFjZGRk4HQ6sdlsQOG3/7tgzJiCt0Bs3749QIHn9sybNy9vmr829ADce++9eY09F7vQM+3LL7+kefPmLm/vFi5cyHfffceuXbtISUnB4ci9ODQ5OZn09HR2795NkyZNXCpLysZjvwwsXryY8ePHs3TpUiC3kSckJCSvkScyMtJTH11phQQaGdorlKG9Qis6ivwhNMjEDVeFcsNVqpNLVSu8Fo93f5zHuz9e0VGkkjIZTfSu35ve9SvPw55DA530bZtF37ZZFR1F/tCwWiwfjHwYeLiio8gfosPNjLwmjJHXhFV0lEKZjWY6x3amc2znio4ilVhEiJO/dbDxtw42t5QXbAlmYPxABsa79hwKEV9QLdrMnYPDuXNweEVHkT/UqGLhrusiuOu68r0dq6sCLAEMbT6Uoc2HVnSUSqdv3760bduWMWPGUL169QLDX331VRo1apSvZ8bbb7/NzJkzmTt3LjabLe9HfYDs7GwyMzM5c+YMCQkJWK0V84ztijS85XCuqn9VySP+oWqQ9/TqKa0NGzYwYMAAEhMTixznzJkzhb4fHR1NWFjB844Lz75JTc3/DLhdu3YBFNnAUtT79913H1OnTuX555/nk08+oX///nTt2pWePXsWusxnZWUxbNgwvv322yLnCYqeL3E/tzf2zJs3jxdffJEVK1YAuY08oaGhjB07ln/84x9ERBS9szx//jyhofpRXERERERERERERLxHnTp1sFgs9OrVi3feeYdevXphNBpJT0/n1VdfZffu3SxZsiTvNm+zZs3iwQcfxOFw0Lhx42LL3r9/P/Hx8eUwF96larB33ZbNU+x2OzfeeCOJiYlcc801PP744zRr1ozw8HBMJhN79uyhQYMGZGdnFzp9UFDhPfaKevbThcafom45GBMTU+j7rVq1YunSpfz73/9m4cKFvPfee7z33nsYDAb69OnDG2+8ka+h6D//+Q/ffvstsbGxvPLKK3Tr1o3Y2Ni8hssuXbqwYsWKIudL3M8tjT0Oh4NZs2YxceJE1q9fD+Q28oSFhfHAAw/w0EMPER4eXmI5tWvX5vTp05hMuh+tiIiIiIiIiIiIeI+33nqL9957jxEjRpCdnU3dunWJj49nxIgRPPPMM3m3vTp16hS33npr3u2sSpKTk+PJ2FLBfvvtN/bs2UPt2rX5+uuvC/TiOnz4sFs/Lzg4GMhdDgtz8mTRz0nq2LEj8+bNIzU1lRUrVrBo0SI+//xzfv75Z/r06cPWrVvzfuefNm0aAFOmTKFfv34FynL3fEnJ3NLYU69ePQ4dOgTkNvKEh4fz4IMPMm7cuEK7mBXG6XSSlpamhh4RERERERERERHxOsOGDWPYsGEljlelShXOnj2L1WotsvcF5F5An5WVVSlv4VaZHDhwAIC2bdsWWtfFPavnUjRs2JBNmzaxY8eOQof//vvvJZYRHBxMv3796NevH8888wwtWrRg7969/PTTTwwfPhz4c76uvPLKAtMnJSVx9OjRQsvW8+g8xy2NPQcPHsyrpIYNG3LfffcRFhbG7NmzXZo+JyeHVatWYbfb3RFHREREREREREREpMIEBASUOI7RaMTf378c0khFurAsnDhxosCw7Oxs3njjDbd+Xt++fZk1axYffvgh//znP7FYLPmGT548uVTlBQYG0rx5c/bu3ZvvmUMBAQFkZWVx4sQJQkJC8k3z2muvFflb/4XvIyMjo1Q5pGRue2aP2WymSpUq2Gw2Xn/99VJN63Q6i+0+JiIiIiIiIiIiIiLiazp27IjZbGbFihV88sknjBw5EoDk5GT+/ve/F9oIVBbDhw/n2Wef5ciRI9x11128++67BAQE4HQ6eeutt/jxxx8Lne6ee+6hR48eDBw4kMDAwLz3ly5dyoIFCwBo06ZN3vtdunThhx9+4OGHH2batGkEBwfjdDr59NNPmThxIv7+/mRmZhb4nLp16+aVe/fdd6unjxsV3Y+wlLZu3cqRI0fYv39/qV8HDhxg48aN7ooiIiIiIiIiIiIiIuJxY8eOJTo6usjX6dOnefDBBwEYNWoUtWvXpl27dlSrVo1vv/2WSZMmuTVPUFAQn376KVarlY8//pjY2FiuuOIKqlevzoMPPsiLL75Y6HQrV67kpptuIiwsjKZNm9KhQwfi4+Pp3r07KSkp3HLLLfTs2TNv/PHjx2O1WpkzZw41atSgXbt2xMXFMWrUKG666SY6dOhQ6OcMGTIEPz8/ZsyYQZ06dejWrRs9evRgypQpbv0eKiO3NPYEBgbSoEGDMpXRsGHDfC2GIiIiIiIiIiIiIiLeLDU1laSkpCJfOTk5vPLKK7zxxhs0btyY48ePc/DgQXr37s2yZcvo37+/2zP17NmTVatWMXDgQAwGA9u3b6dmzZpMnz6dRx99tNBpJk2axLhx42jRogWnT5/O65zRr18/5syZwyeffJJv/LZt27J06VL69OmDw+Fgx44dVK1albfeeoupU6cWma1evXp89913dO/enbNnz7J8+XKWLFmS9wwguXRuuY3bE088kfe33W7n7NmzREdHl7qcp556yh1xREREREREREREREQ8prSNE+PGjWPcuHGFDnM6nQXei4+PL/T9kqa7oFWrVsyZM8fl6Xr27Jmv544rrrjiCn7++edChy1evLjI6fr27Uvfvn1L9VlSMrf07Hn66ac5cuQIQ4YMISAggJiYGKpUqcIjjzxCSkqKy+U8+eST7ogjIiIiIiIiIiIiIiJSabilsSc5OZkePXowZ84ccnJycDqdJCUlMWnSJNq0acPRo0fd8TEiIiIiIiIiIiIiIiLyF265jdu7777Lvn37AGjQoAFt2rQhOzub1atXs3fvXq677jpWrVqFwWBwx8eJiIiIiIiIiIiIiIjIH9zSs2fu3LlYLBY++eQTdu7cyfTp0/nyyy85ePAgr732GmvXrmXatGnu+CgRERERERERERERERG5iFt69uzYsYPHHnuMW265Jd/7RqORhx56iBMnTvDZZ58VGC4iIiIiIiIiIiIiIiJl47Zn9owePbrI4ffddx+bN292x0eJiIiIiIiIiIiIiIjIRdzS2GMwGKhTp06Rw2vWrElWVpY7PkpEREREREREREREREQu4pbbuJlMpmKHnz9/nujo6BLLGTVqFFOnTnVHJBERERERuURbt24t0/QJCQluSiIiIiIiIiKucEvPnoyMDM6dO1fkcKfT6VIjztdff+2OOCIiIiIiIiIiIiIiIpWGW3r2ACxcuJBBgwYV2ssnLCyMDh06FDv9b7/9Rnp6urviiIiIiIiIiPiMsvaoA/WqExEREanM3NbYc8MNNwC5z+8xm80Yja53GsrOzsbhcLgrioiIiIiIiIiIiIiISKXhtsYeyL1dm9PpJCsr65KmNxgM7owjIiIiIiIiIiIiIiJy2XNbY0+LFi1o1qwZFoulVNM5nU5sNhvbtm1j27Zt7oojIiIiIiIiIiIiIiJSKbilscdkMrF8+XKCgoIuuYzz588TERHhjjgiIiIiIiIiIiIiIiKVhusP1ilGYGBgmRp6AEJDQwkLC3NHHBERERERERERERERkUrDLY09X331lTuK4euvv3ZLOSIiIiIiIiIiIiIiIpWFWxp7evfu7Y5i6NGjh1vKERERERERERERERERqSzc8swekcJs3bq1TNMnJCS4KYmIeBNtG0RERERERERERNzLLT17REREREREREREREREpGKosUdERERERERERERERMSHqbFHRERERERERERERETEh6mxR0RERERERERERERExIepsUdERERERERERERERMSHqbFHRERERERERERERETEh6mxR0RERERERERERERExIepsUdERERERERERERERMSHqbFHRERERERERERERETEh6mxR0RERERERERERERExIepsacEU6ZMwWAwlPiaP39+kWWcOHGChx9+mEaNGhEQEEBkZCRdu3blgw8+wOl0luPciIiIiIiIiIiIiIjI5cZc0QF8hdFopEqVKkUOt1qthb6/bt06+vXrR1JSEgDBwcGkpKSwfPlyli9fzqxZs5gzZ06R04uIiIiIiIiIiIiIiBRHjT0uqlmzJgcOHCjVNMnJyQwYMICkpCQaN27Mp59+Srt27cjKyuL//u//eOihh/j555956KGHmDx5smeCi4jIZWfr1q1lmj4hIcFNSURERERERERExBvoNm4eNHHiRI4fP05AQAA//vgj7dq1A8DPz4/77ruP8ePHA/D++++za9euiowqIiIiIiIiIiIiIiI+Sj17POiTTz4B4KabbqJOnToFho8dO5aXXnqJ1NRUpk2bltf4I3KBrt4XERERERERERERkZKoZ4+H7Ny5k0OHDgFw9dVXFzpOcHAwXbt2BeDnn38ut2wiIiIiIiIiIiIiInL5UM8eF506dYq2bduyc+dO7HY71apV48orr+SOO+6gR48eBca/uEdGcb0rEhIS+Omnn9i+fXuxn2+z2bDZbHn/TklJKf1MiIhchtQDTkREREREREREKjv17HFReno669evx8/PD4fDwf79+5k2bRo9e/Zk9OjR5OTk5Bs/MTEx7+8aNWoUWe6FYefPnyc1NbXI8SZMmEBYWFjeq2nTpmWcIxERERERERERERERuRyosacE1atX59///jebNm0iMzOTM2fOkJ6ezooVK+jduzcAH3/8MQ899FC+6S7ueRMYGFhk+RcPK663zpNPPklycnLeq6SeQCIiIiIiIiIiIiIiUjmosacEffv25dlnn6VFixZYrVYATCYTV155JfPmzWPQoEEATJ48md27d3ssh9VqJTQ0NO8VEhLisc8SERERERERERERERHfocaeMjAajUycOBEAh8PBd999lzfs4saY9PT0Isu4eJgacEREREREREREREREpLTU2FNG9evXJzo6GoB9+/blvV+9evW8v48ePVrk9BeGhYaGEhwc7KGUIiIiIiIiIiIiIiJyuTJXdIDLVUJCQt7fW7dupUmTJoWOt3XrVgCaNm1aLrmkcruwvF2qi5drEREREREREREREfEO6tlTRnv37uX06dMA1KlTJ+/9Ro0aUatWLQDmzp1b6LRpaWksW7YMyH02kIiIiIiIiIiIiIiISGmpsacYTqezxOGPPvookPv8ngEDBuQbPnLkSABmzJjBgQMHCkz/7rvvkpqaislkYsSIEe4JLSIiIiIiIiIiIh6RkZHBhAkTaNWqFUFBQQQFBdGpUyemT59e4rTZ2dlMmTKFgwcPlkNSEalsdBu3Yhw8eJAbb7yRMWPG0KdPH+rUqYPBYMDhcPDbb7/x7LPPMm/ePADuuusuGjVqlG/6Rx55hA8++IDjx4/zt7/9jU8++YS2bduSlZXFhx9+yL/+9S8A7rzzTho2bFjmvLYsB4vXp/Pz6jROnbVjMkKtWAsDugTTtrE/RqOhzJ8hpZOZ5WDR2nR+WZ3G6eTcOqldzcLAriG0aWTFYFCdlOR02mlmbZ3Fz7t/5lzmOQLMAbSr0Y4RrUbQqEqjkgv4iwybg4Vr05n/WxpJyXZMJgN1qlkY2DWYVg1VJ1KQ0+lk7dG1fL7pc34/+TtZ9iyqBlfl2sbXcm3Tawn2u/yet5aZBWt2WVi320JKugGTEeKi7XROyKZurB2tJuXvRHIyr877gsWHfiTDcQYjFqoFNOLvHW7l+nZXYDTq+p3ylpru4OfVaSxal8a5FAcWs4FGtf24tmswjeP9tD8R8YAsexbLjy9n0dFFnM48jdFgpGZwTfrG9aVVdCuMBm0L/8rbb+Ps7fmkcjpz3s5Pv6ayfFMGKekO/P0MNK9n5dpuwdSp7lfR8chx5LBg7wJmbZnFwXO5DQZxoXHc0PwG+tTvg8VkqeCEl7ezZ8/Sq1cvNm7cSEhICJGRkRw9epRVq1axatUqtm3bxgsvvFBguhMnTvDBBx8wefJkEhMTWb16NbVr166AORCRy5kae0qwZs0a1qxZA4DVaiUkJISUlBRsNlveOLfffjtvvfVWgWnDwsL4/vvv6devH9u3b6ddu3aEhISQmZlJdnY2kHv7tkmTJpU554rN6bz66RnOpzlo29ifTs0DsDtg485MHn/nFLWrWRj/92hqxWqnX16WbkjntWlnSM1w0K7Jn3Wyfkcmj751krrVLTx7ZzRxVVUnhXE6nbyz8h0mr56MwWCgT/0+dAjpQGpWKj/v+Zlpm6bRu15vJl4zkRBriEtlLlqbxqTpZ0jLdNK+6R91YneybkcmD795kvpxFp69swrVo7VplFyJ5xO5b859bD6+mfiIeLrFd8PP5Me+M/v494J/8/LSl/n3Vf/mumbXVXRUt1m9w8KXy/zJyoFmtXOIj7GTY4ffD5lZ+40ftavaGd0vnYiQ4nu/ivv88+tP+GLPKzgMNuLMXWgQ1hKb3caO8yt4YukI/rMkgc9unkyTGjUqOmqlMXtpCu99fY7sHCcdmweQUNdKZraT37ZmMG9VGs3rW/n3mGgiw0wVHVXksrHm5Bre2vIW57PP0zKqJVdUvQK7086WM1sYv248cUFxPNH6CWoG16zoqCLio5xOJ1N/SObzeecxGg10aRlAlXAT6ZlOlm5MZ/bSVDq3COCJUVEEBVRM4/KmY5sY+91Yjp4/SutqrelRpwcGDGw8vpGx340lNjiWNwa8Qfu49hWSrzKYM2cOiYmJzJo1i8GDB2M2mzl27Bh33HEHP/74IxMmTGD06NHUrVsXgG+++YbPPvuM5cuX06tXLxITEwHw9/evyNkQkcuUftEsRkxMDG+//TYrV65k48aNnDp1irNnz+Lv70+dOnW48sorGT16NJ07dy6yjLZt27Jt2zZefvllvv/+ew4fPkxQUBAJCQmMGjWK0aNHl/lq3KUb0nnug9N0ahHA3UPCqXFR44HT6WTrXhuTpp/lgddO8NYjMdSKUeOCpy1am8YLHyfRtVUAdw6JyNd44HQ62bzbxuvTz/DAxBO8/WgMNaqoTv5qwuIJfLjuQ+7teC9j2o4hPCA8b9i/e/2bn3b9xDPzn2HkrJFMu3EagX6BxZb38+o0/jM1iZ7tAvn7oHBio/LXycZdNl7//AwPTDzOO4/G5hsuldPxlOPcOP1GTAYTU4ZOoXPtzvmuGE48n8jry1/n0Z8eJcuexU0tbqrAtO6xYpuFmUsC6NA4i2va2/I16DicNnYeNjFzSQBvfBPEP65PIyxIDT6e9o+Z7zP78Ms0CRrEy4MfptlFDTo5djsfLlvApNXPcP20Ycwe+RUNYmMqMG3l8MX88/zv63MM7BrMyGvCiLqoQcd+g5PftmXy+udnGPf6Cd5+JIbwEDX4iJTVqhOreHnDy7Sr2o7bG91O9aDqecOcTic7zu3gv9v+y5Orn+Q/Hf5DXHBcBaYVEV81+atzfLUwhVuuDmVorxBCg/7ch99/YwRL1qfz5owzPPb2SV57sCr+fuXb4LPx2EZumXkLjas2ZvKgySTE5O/ZtvPUTsYvHM/IWSOZOnQqV9S8olzzVRaLFy/m/fffZ9CgQXnvVatWjS+++IKGDRuSmJjImjVr8hp7Xn75ZW644QamTp3K6dOnmTFjBgABAQEVkl9ELm/6NbMYAQEB3H///dx///1lKicmJobXX3+d119/3U3J/pSS7mDClCS6tQ7k6dFRYE8nact/Sd4zHXvGSUwBValefzivj72dB99M4aWPk/jv4zGXza1FHNlpnN3xYb75Das/nIjGYzBagiok05lkO//5JImr2gXyxKioArfPMxgMtGzoz1sPxzB24gkmTEninUdjXf8Aewam07MxnZkL2WfAEok9sj/26EFgujwOFpbuX8qH6z7kmV7PMKrNqALDLSYL1za5lrqRdRk+YziTVkzinz3/WWR5p87mMPGzJPp3CuLRWyJx5qSTtGVyvuWmVv3hvPHA7Tzwxnle/iSJSQ+5/oOpu5dDb1yu/8rtGd29XLuhvCfnPYkTJzOHzyQ2pOA6Wj20Oq9e/SpBfkE888szdKrVidrhvtsN/+Q5I7OW+tM1IYuhXTMxODIwncj/HSZE9if22iG8/m0U0xf5c/eADNc/oBJsu9xt8Y7fmX3oFdqG3cyMO8aDPYOkLW/lW++G1h/OFUOncNNXt3LHjCdZ8uBHLpfv9euxB5R1nvceyeJ/X5/jpr6h3Dk4HEd2Gklb8pfXsP5wJj1wG+PeOM9bM8/yzB3R5ZZPKh9PLDPetm1IyUph0uZJdIjpwKOtHsVkyN+AajAYaBLRhJc6vMQTq59g4qaJTLpy0mVzvuORbauby/S2ZcYXVbbzCW+c31VbM/hqYQoPDItgcPeQQvfxresP55X7RvHw2+f5+Ltk7rk+otwyZtuzuX/O/TSu2phPb/iUAEvBdaFRlUZ8fP3HjPl6DPd/dz/L7lyG1Wwtl3yeLs8TLmQ8vemTUk0XEBBQ4JndAEFBQXTo0IFvvvmGKlWq5L2/atWqvL9Pnz6d97d69oiIJ+imxj5u8YZsHE4n426KAHs6R+bfxJktb2LPOA44sGcc58yWNzm/8mbuHhzArkNZ/H4gq6Jju4UjO63I+T0y/yYc2WkVkuuHX1MxGgw8MCyy2OckhQWbuGtIONv3Z7HrkIt1Ys/AsvdJTCc+x5CdhAEnhuwkTCc+x7L3SbCX4odXL/bJhk9oFtOMka1HFjteQkwCI1uPZNbWWaRnpRc53vfLU7GYDdx/QwTOnKLXk7TfbuaOgQFs2m1j31HX6sTdy6G3Ltcezeju5doN5e0/u5+lB5bySJdHCm3oucBgMPBk9ycJtgYzfVPJD+P0Ziu2WfD3czL4ytyGnqK+w6onHmdA+xS2H7JwKtnFH9IqybbL3d5a/AlmZzgfj3oa7BlFrndRux5lSJ27OJK9jI0uPujV69djD3DHPM9emkpUmIkxA8OKLc+xcQQj+vqzdGM6p8/llFs+qVw8scx447ZhwdEF5DhyuLvp3QUaei4WbAlmTOMx7E/Zz45zO0qX01t5Ytvq5jK9cZnxNZXtfMJb5/fbJSk0quWX19BTVJlBu25hUFcrP/2aSmaWo9wyLty7kGMpx3iu93OFNvRcYDVbea73cySlJ/HTrp/KLZ8ny/OEizM6M0+VatrJkydjMhW+Pzp9+jQ1atQo9g5AF1itrjXEiYiUhhp7fNzi9Vn0aBNIWLCJszs+xHZ2O/DXAw4HtrPbqWf4lGrRZn5YnurxXI6cdHBklunlyCn6x3ugxPk9u+NDj81fYRw56Thy0vlxRQq92voR6JeZ915RrysaO6kSYeT7Zefy3iuO6fRsDJn7MJD/1kkGnBgy92E6PbvYfJ6uE3c4nnKcxfsWM6LlCJeuyBzecjipttQiD2SdTic//ppGnyuCCPQ3lrjcNPWbRlSYiR9XuLaeuHs5LEt5JS1vrr48mTHD5sCWTb5XzvEfyEpLJMtuxWb3z3tl2a1kpSWSc/yHfONn2Io/qSrreuLISWfWpulE+IfTv16PEr8vP4ODoU0HM2vLF2RnpXh8PfHEumx3wOodfnRqko3FXPJ32C78SwKtTlb97toDastSJ5VVms3GlvPfc0XUEIKs1hLXu9G1UzA6A3hz4QyXynf3tssX6ris82zLcjD/tzQGdAnGZDKUWF67sC/wsxiYt8q1HzTKki89K53MnMwyvYq7aMIbFbY/Ke2rpP2Jt/PEsbA37eMv7O9+OTKPK2M6EG7xL3H/1jKiEdUDq/Hz4Z/K7djVk8q6bS2P467KuD8piwybo8Dr2JYpnD+9D5vdL1+d2Ox+nD+9j2NbphSYpjjedp78V950/nTBqbM5rNmeybXdgl0qs2vsHNIynSzd4Frjozsyztwyk9bVW9O0atMSx60bWZfOtTszc/PMcsvnzvIKW08u5XVpGS/djh07WLNmDR999JFLDTkWi27nLyLup9u4+bgTZxwk1MvdiSTvmU7ROyoHKXun07TOzRw95doVpmWx94tmlPUahb1bocHN+4scXtL8Ju+ZTlTzB8qYwnV7v2iG3WHixJmFVEkaz94vXLuKppbpWfZuC2HvFw8Dxc+z6czcAic+f3JiOjMXe0zhzw0pjzpxh8PJh3HipG2Nti6NHxcWR2xILAfPFX41e2aWk6Rku8vrSdr+z2lc+yaX1xN3L4dlKW/vF81c/pzilFTHZcn4t4eOAKF/eXf0Hy9XHWHh5FpFDi3regKw7YyBOk448nUblxJVy4BzmUY2zWxBmMmz64kn1uX0TAPpNgN1qtmBkr/DgOQfiKsyilPJrl0zUpY6qawOnDqFw5hOl3q5D9ctab0zH/2CcGN9jqYccql8d2+7fKGOyzrPSecdZGY5Xd6f5Bz+lDrVriuX/Unzt5q79BnFmg97H9lb9nLKSeH7k9Iqfn/i7TxxLOxN+/i9XzTDzwnH0gwMMh/BunWZSyU0dRpIPJ2Ideuicjl29aSyblvL47irMu5PyiK3Tv5q4B+vIqwEyD9dedaJu3nT+dMFiadycDpxeR/vf/JDIkOvJvFUdrllPHD2AH0b9HXp8wDaVG/DF1u+KLd87iyv8PWk9Eq7nqSkpHD+/Pm8f1utVpcabRwOB2vWrOHee+9l5syZ9O3rWj1dNrcbFRGvop49Ps7JnzsIe8bJYse1Z5zE8Mc0lwNX5re8Ocmti6JPUAqfyunq6NlnihxkKGG4r3D+8WUYcP3Ax4ABZ1Hf+R9vXziOcmm5Mbi+nrh7OfTG5bq0GSo8oxvWE+eFcV10YVxf3b5eyJ03zy58h6U6NakE2y53czjyL02urXfFbAsLHf/ShxfgA3Vc1nn+c//kenkGAy7v471+2ypexxPLjDcuh6XdJ+dNdDmoBNvWAnxgnr2dN67Hpfn8ijh/+usmwxv38a4e411gwJB37FISb6wTTyssQ9OmTQkLC8t7TZgwodgy9u/fT3R0NFFRUXTu3JkNGzbwyCOP8PTTT5Oa6vk76niLrKwsMjIyfOaVleXeR1vEx8djMBjyvQICAqhXrx6jR49m27ZtBaa57bbb8sZt27b4C503b96cr+zFixe7nO306dO8//77DB06lDp16mC1WgkJCaFNmzY899xzJCcnl3Z2AQrM719fN93kuxdlXA7Us8fHRYcZ2XHQlntLkYCqf9wPtXBG/6rs3J1F49qu3XanLOrduI3t27eXqYymTYvvnlzS/JoCqpbp80ur3o25G/CobWc4GzOeeje+VuI0DoeTxOfP0qqJJW/6YlkiITup0EHOC8OLyefpOnGHuLA4ADYf30y9qHoljn8i9QQnUk8QFxpX6HB/q4GwYCM7DmZxVfugEpcbg38Mu7dn0bGZaw9/dfdyWJbyXFqG3KAsGX+YFFdgOfTbeReGIk7cLyzXWY3ey3uvxOWwjOsJQOOlE5m943tqXv8LfqaSu9d/u+JNgjfNoOWwZZiNnt21emJdDvJ3YrU4OXTSRPM6OSV+h9mmqhxNMnJFI9euZixLnVRWdapUweDw57eDm7iLviWud+nm6iQ79tE4yLXeaG7fh/pAHZd1niNDTVjMsOOgjTaN/UssL8evJgePZdO+qef3J1se2OIT+3h3Kmx/Ulq+Ns9/5YljYW/ax1/Y31U99wC/BzWhT8I9JeZ3Op3s+vUR4qNqY0t4wOfruKzb1vI47qqM+5Oy+GFSwXOWA9/1wp5xoshpTAExxA9c6PJneNt5cmGf7y3nTxfERuUev+88mEXNGEuJZSYbGnMm2Z43XXlkrBlWk83HN7v0eZB7Pl0jrEa55XNneYWtJ+5WWMbt27dTo8af31lJvXqMRiPfffcdHTt2xGazMWfOHO6++25efPFFVq5cyYIFCzyS3ZtkZWWxe/dulxsWvYHBYKBBgwb4+bn3t9EGDRpQtWrusn3u3Dl2797Nxx9/zOeff86sWbMYOLDwHpzr169n+/btRe5vP/3000vONGTIEJYvXw5AREQECQkJnDlzho0bN7JhwwY++ugjFi5cSN26dS+p/KKeTdW4ceNLzixlp549Pq57az8WrkknNd1BWP3hFF2lRg4HjOXwiRyuuTLY47mM5kAw+pfpZTQHFvsZJc1v7vDyYzQHYjQHcvWVwcxfayMzxz/vvaJe63cbOZbk4OrO4XnvFcce2T+v91BBBuyR/YvN5+k6cYfqodXpXLsz0zZNc2n8GZtmYDVbuabRNYUONxgMXN0piHkrcx+gWdJys8f8ICfP2Ln6yiCXPt/dy2FZyitpeXP15cmMAVYjVgv5XuYqPfEz2bCaMgt52TBX6Zlv/ABr8buusq4nRnMgQ1vcxOn0JBbsX17i95WNiVnbvuG6Ztfh5xfq8fXEE+uyyQjtG2Xz63YLOfaSv8P1GXeRmmGkY2PXGnvKUieVVXCAP42D+rHixFfYsrNLXO9mpHXFbjzP/d2HuVS+u7ddvlDHZZ3nAKuRXu2C+H55KnaHs8TyNtsfIt3mpF9Hz+9PAv0C8Tf7l+kV6Of5fbw7FbY/Ke2rpP2Jt/PEsbA37eMv7O96x/Vh2fFfSbXnlLh/25a8l0NpR+hds1+5Hbt6Ulm3reVx3FUZ9ydlEWA1FnhVbXQdVlNWEXWSRdVG1xWYpjjedp78V950/nRBbJSZVg2tzFmW6lKZq9PHYfUz0L2Na9sYd2QcmjCU1YdXsydpT4njHj53mCX7l3Bj8xvLLZ87yytsPbmUV2kzhoSEEBoamvcqqbGndu3adOrUCYPBgL+/PzfeeCNvvfUWAAsXLqwUjT12u92nGnog98IQu93u9nKfeuopli9fzvLly9m6dSuHDh2id+/e2Gw2br/99kJ7ezVq1AgoukHH4XDw+eefExISQvXq1UudyWQyMWrUKFatWkVSUhLr1q1j//79rFu3jgYNGnDw4EGGDXPt/LEwF+b3r69nn332ksuUsvPtMxyhZxsLdoeT/31zlvBGo7FGNKVgtRpxhrTm8w3dia9moUWDsj7twTtENB5T5PxaI5oS0XhMRcRiQOdgbFlO3v/mXLE7vbQMB+9/e476cRaa1XXtigJ79CCc/nVxXnSjOCe5t49z+tfFHj2o7DPgBW5pdQsbEjfw9bavix1vb9JepqyfwuCmgwmxhhQ53sCuIaRnOvlgdnKx60lOcFtmbuxM43g/GtV2bT1x93Lorcv1xdyd0d3LtTvKaxjdkA41O/Da8tc4k1787ULeXvk2Z9LPMKLViFLl9DZdE7JIyTAyd4212O8wxdiC73Z0p2GNHGIjXXugaWXZdrnb2K6jyDae4p5pk4pd7477tWH2ySXEGjvSoX59l8r29vXYE9wxz4O6BXM8yc7Mn88XW156QCe+3tSWTs0DXL7q1xe2/+JdPLHMeOO2oU9cH5w4+WjHR8UeW2fmZPLxjo+JC4qjRWSLUuX0Vp7Ytrq7TG9cZnxNZTuf8Nb5Hdw9hK17bfyyOq3YMpPMPZm7vQl9OwYR6O/aT2ruyNivQT+iA6N5buFzZNuLvuDK7rDz/KLnCfUPZWDjYp4F5eZ8nizPE4rOWDY333xzXo+RTZs2ubVs8S0xMTF8+umnWK1WkpKS+OWXXwqMM2TIEIKCgvj8888LPcZZuHAhiYmJXH/99QQEuHa3gIt9/fXXTJkyhQ4dOuR7RlTr1q3zGpjWrl3Lhg0bSl22eC819vi4iBAjDw2P5McVaUycYSPois+JbD4OU0AsYMQUEEtajad5Y/tbHD3l4Knboi6bh8AZLUHE9Z5RYH4jm48jrvcMjBbXrqR1t6qRZsbdFMmcZam89vkZzqYUvGJg39Es/vHGCU6cyeHJ0tSJKYDsehOwx9wMlqjcq94sUdhjbia73gQwlX7j74361O/Djc1v5PG5j/PBmg/IyM7IN9zhdLBk/xKGzxxOTHAMj3Z9tNjyqkWbuf/GCL5elMLbX2UR0rHgepJc7Rle3zKJM+edPDEyyuWs7l4OvXW59mhGdy/XbipvQr8JpNhSuHnmzYXeMuFcxjmeX/g8/139Xx7v/jj1o1z7kd1bVYt0cG2nTH5eb+XrVeEkx/2nwHe4z+8BJm5+HVu2kZt6ZJRc6AWVZNvlbv1atKRn1XtZcvo9Rkx5FVPb/+Vb7wzWGFYH3cHd+07hMGQzeWjx9xW/mNevxx7gjnluHG/l1qtD+WBOMh//mE145/z7E6N/LCejx/PK+v/gxMC4YRHlmk8qF08sM964bQi3hnNfs/tYcHQBb255k7O2swXGOZR6iGfWPMORtCM83PLhy+Z8xyPbVjeX6Y3LjK+pbOcT3jq/XVsF0K9jEC9/msRXS+1U6TY9/3GXfzUOhr7IK2v/TUyEmTHXhpdrRqvZyqQBk/jt8G/8/Zu/c+jcoQLjHE0+yr2z72XxvsW8ds1rBFhcW1+8tU486eKMBv8q7ivXaKRmzZoA+Pv7Fzuuw+HahXPiu2JjY2nQoAEAu3fvLjA8KCiIwYMHc+jQIZYsWVJg+IUGmVtuueWSPj8ysuhbn3bo0IGwsDAAdu3adUnli3cyOH2tv50AcOTIEWrWrMnhw4eJi4vj59VpTPr8DHaHky4tA6kXZ8HugA07M9m020aVcBPP312FhrWK7kGydevWMmVKSEjwaHm+5qdfU3lz5lmcTiddWwVSp3ru7ZHW78hky14bMZEmnr+rCvVrqk4KY3fYeWnxS0xdP5VQ/1AGNBpA9dDqpGalMnfXXPaf3U/7uPa8e+27RAW61jjz3bIU3pmV+wNBt9aBxFfLrZO1v2ewbV8W1aLNvHB3NHWqe/65VpWZLy3X+87s485v7mT/2f20jG1J9zrd8TP7sTdpLz/u+hGHw8Hj3R/n9ra3lylDaXnyO1y0yY85K60YjdC6XjZVwx3k2A1sP2Tm0EkTVcPt3HlNBlXDHS6V5458lZnD4WDs9HeZm/g2BqeFBoG9qRUWjy3HxsbTS0kx7CTQEc+H17/PFfVKfs6Zu/jSeuxuTqeTz+ed5+Pvk/GzGOjZJpAaVczYsp2s3JLBniPZ1K1u4YV7qrjcq8cdvL1OylqeJ8r05eXQW3myThYnLmbytsnkOHLoGNOR+JB4HE4HW85sYeuZrURZo3iyzZM0CGvgUnnuzucN5XmiTE8v196eTyoXu8PJf788y9eLUwkJNNKrXSBVIkykZThZtjGdIydzaFHfyvg7owkLNlVIxhUHVzDu+3GcyzhHtzrdaF29NQYMbD6+mUX7FhHsF8zrf3udnnV7Vkg+X/TX39eKs2zZMho3bkyVKkU3EMXExHDy5Em2bdtW4DksBw4coE6dOgCcOnWK6Ojoss9ABcrIyGDv3r0VHaPU6tWrd0k9ZQoTHx/PwYMH+fjjj7ntttsKDE9ISGDbtm28/PLLPPbYYwDcdtttTJ06leeff5727dvTv39/xowZwwcffJA3XXp6OrGxsYSGhnLo0CEaNmzI3r17WbRoET169ChzbrvdTmhoKOnp6cyePZtrr73W5WkvXFQzduxYduzYgdFopG7dugwYMICrr7768rnoxkeV3xmoeFTfDkF0ah7AvFWp/Lw6jY27MjGZDNSKNfPMmCg6twzEYtbKVp6uvjKYzi0DmLcqjZ9Xp7FuRyZmk4H4ahb+fUc0nVsGYDapTopiMpr4V69/MarNKKZvms7Pe34mOTMZf7M/bWu0ZUK/CbSr0a5UO5GBXUPo1jqQuSvT+OW3NNb+nlsndapbGH9nNFc2D8CkOqn0/vqjw2tXvMbaU2uZd2gen63/jBxHDhHWCG6seyO9a/Qm3Bqebxpf+5Hlr3q2zKJtg2xW/W5h3W4L2w6aMZugRpSdO6+x0bRWDkb1Cy43RqORd0eMZdexG3jll2msPv4je9OXYcSPKuaG3N16HKO7XoWfWYd05cVgMDCifxj9Ogbx469pLFqbxorNGfhZDDSs5ccdg8Jp18Qfo1H7ExF36lG9B+2qtGPR0UUsSlzE1jNbMRqMxAXF8XDLh+kU0wmL0VLRMUXEh5mMBu6/MZIhPUP4flkqyzdlkJLuwN/PQEI9K4/eEklCPWuF/pDZuXZnlt25jB92/MDMLTP5bMNnOHFSM6wmz/d5noGNBxLkV/E9Zy5X27dvZ/HixfzrX/8qdPjevXs5efIkgwcPLtDQA/l783jiuTHiXY4fP86ePbnP2apfxO22e/fuTWxsLF9++SXvvPNOXo+wb7/9lpSUFO655x6MHjgB//7770lPT8dkMtGxY8dLKuPtt9/O9+///ve/dOvWjS+//LLYBlHxLP0ycBkJCTQytFcoQ3uFVnQU+UNokIkbrgrlhqtUJ5eqVngtHu/+OI93f9wt5YUFmxjWJ5RhfVQn4hqTwUSHqh3oULVDRUcpN6GBTvq2zaJv26yKjiJ/aFgtlg9GPgw8XNFR5A/R4WZGXhPGyGvCKjqKSKURbAlmYPxABsa79hwKcT9fu4hF5FLUqGLhrusiuOs612/HWp4CLAEMbT6Uoc2HVnSUSqdv3760bduWMWPGUL169QLDX331VRo1asT7779f6PRZWX+eX2VmZnosp1S8kydPcuutt2Kz2YiIiKBPnz6FjmcymRg+fDiTJk1izpw53HjjjUDZb+FWnLS0NB59NPdxCKNGjaJq1aqlmr5///6MHj2atm3bUqNGDU6fPs0333zDP//5T5YuXcrAgQNZvnw5Zl2QWCF0ba6IiIiIiIiIiIhIMerUqYPFYqFXr17Mnz8/r6dOeno648ePZ/fu3SxZsqTIXg3r16/P+1vPSbm8vPTSS3Tp0oUuXbqQkJBAzZo1mT9/PhaLhf/7v/8jJCSkyGlvvfVWAD777DMATpw4wfz582nZsiXNmzd3e9YxY8awe/du4uLiePXVV0s9/U8//cQNN9xA3bp1sVqt1KhRg/vvvz9vflevXs306dPdnltcoyY2ERERERERERFR7y2RErz11lu89957jBgxguzsbOrWrUt8fDwjRozgmWeeKXCbv5SUFDp27MjJkyc5ffp03vt/+9vfiIuLo0qVKqxevbq8Z0PcbPfu3ezevRsAPz8/YmNj6datGw8//DCtWrUqdtrWrVvTrFkz5s6dy+nTp5k+fTo5OTke6dXzxBNPMHPmTIKDg/n222+JjIx0W9nt27dn6NChTJ8+na+//jqvEUvKlxp7RERExKvpRwcREREREfEGw4YNY9iwYS6PHxISwrZt2zyYSLzBxx9/zG233XbJ099yyy08+eSTzJw5k88++wyj0cjNN9/svoDAxIkTefnll7FarcyePZu2bdu6tXyATp06MX369LxnFUn5023cREREREREREREREQqwIgRIzAYDLzyyiusW7eOq666qtDnQl2q//u//+PRRx/FbDbzxRdf0KtXL7eVfTGLxQJATk6OR8qXkqlnj1RqulpcRERERCqjsh4Hg46FRURERNyhZs2adO/encWLFwO49RZuM2bM4O6778ZoNDJ16lSuvfZat5X9Vxd6scXFxXnsM6R4auwRcSM1HomIiIiIiIiIiEhpPPDAA5hMJkwmE9ddd51byvzxxx8ZOXIkDoeD//3vf26/NdzFTpw4wbRp0wDo3bu3xz5HiqfbuImIiIiIiIiIiIiIVJAhQ4Ywf/585s2bR3BwcJnLW758OUOHDiU7O5tXXnmFu+66y+Vp4+PjiY+PZ9WqVfnef/LJJ5k2bRrp6en53t+0aRN9+vTh7NmzVK1atVSfJe6lnj0iIiIiIiIiIiIiIpeJMWPGkJGRgdVqZfbs2cyePbvQ8f75z39y9dVX53vv4MGDAGRmZuZ7//fff+c///kPZrOZ+vXrExYWxqlTp9i3bx8AMTExzJkzh/DwcPfPkLhEjT0icsl0r3cR8UW65aaIiIiIiEjZmEwmDAYDTqezoqO4zGAwYDKZKjpGubDZbHn/X7FiRZHjnThxwuUy77nnHmJiYvjtt99ITExkz549BAYG0r59e/72t79x3333ER0dXebscunU2CMiIiIiIiIiIiIiLvPz86NBgwbY7faKjuIyk8mEn5+f28o7cOBAqaeZMmUKU6ZMKdU0e/bsKfXnXEq2C4pqwOvXrx/9+vW75HLF89TYIyIiIiIiIiIiIiKl4s6GExEpOzX2iM/QLcNERERERERERERERApSY4+IiBRLzzcRERERERGR8qJzUBGRS2Os6AAiIiIiIiIiIiIiIiJy6dTYIyIiIiIiIiIiIiIi4sPU2CMiIiIiIiIiIiIiIuLD1NgjIiIiIiIiIiIiIiLiw9TYIyIiIiIiIiIiIiIi4sPU2CMiIiIiIiIiIiIiIuLDzBUdQERE3Gfr1q1lmj4hIcFNSURERERERERERKS8qGePiIiIiIiIiIiIiIiID1Njj4iIiIiIiIiIiIiIiA/TbdxEREREREqg22SKiIiIiIiIN1PPHhERERERERERERERER+mxh4REREREREREREREREfptu4iYiIiFzmdAsyERERERERkcubGntERERERMqZGuBERKQy0P5ORESk/KixpwRJSUnMmTOHBQsWsH79eg4ePEhOTg5VqlShXbt2jBo1iiFDhhQ67bPPPsv48eNL/Izdu3dTv359d0cXEREREREREZFypAYuERGpKGrsKUFsbCw5OTl5//b398disXD06FGOHj3K7Nmzufrqq/nyyy8JDAwstAyLxUJkZGSRn2E2qxpERETkT/qRQERERERERERKQ60MJcjJyeGKK67gtttuo1+/ftStWxeAAwcO8MILL/Dhhx/y008/cdddd/Hpp58WWsaVV17J4sWLPZJv586dnDt37pKm1Q9BIqWnH2BFRERERERERETE26ixpwQLFy6kZ8+eBd6Pj4/ngw8+wGw289577/HZZ5/x0ksvUbNmzQpIKSIiIiIiIiIiIiIilZUae0pQWEPPxcaMGcN7770HwNq1a9XYIyIiIiIi6g0sIiIiIiLlyljRAXydv79/3t92u70Ck4iIiIiIiIiIiIiISGWknj1ldPGzeJo3b17oONu2bSMhIYG9e/diMpmoUaMG3bp1495776V169YufY7NZsNms+X9OyUlpUy5RURERERERESkclHPUxGRy5d69pTBuXPnmDBhAgBdu3alUaNGhY53+vRpfv/9dwIDA7HZbOzatYsPPviAtm3b8vTTT7v0WRMmTCAsLCzv1bRpU7fNh4iIiIiIiIiIiIiI+C419lwih8PBrbfeyrFjx7Barbz99tsFxmnQoAGvvPIKO3fuJDMzk6SkJNLS0pg3bx5t27bF6XTy4osv8tprr5X4eU8++STJycl5r+3bt3titkRERERERERERERExMfoNm6XaNy4cXz//fcATJ48mZYtWxYYZ8SIEQXe8/Pzo2/fvnTr1o1u3bqxZs0ann32We644w7CwsKK/Dyr1YrVas379/nz590wFyIiIiIiIiIiIiIi4uvU2HMJHnnkEd555x0AJk2axOjRo0tdhr+/Py+99BJ9+vQhNTWVBQsWcN1117k7qoiIiIiIiIiIFEHPsBERkcuFGntK6bHHHsu77dqrr77Kgw8+eMllderUKe/vffv2lTWayGVBB9oiIiIiIiIiIiIipaPGnlJ49NFHmThxIgCvvPIKjzzySAUnEpGSeHvjkbfnExEREREREREREe+nxh4XPfLII3k9el555RUeffTRMpe5atWqvL/r1KlT5vJERERERERERC5XZb1YDnTBnIiIXL7U2OOCixt6Jk6cyMMPP1ziNE6nE4PBUORwm83GP//5TwCCgoK46qqr3BNWRERERERERMpMDQsiIiLiS4wVHcDbPf7443kNPa+//rpLDT0AS5cupXfv3nz22WccOXIk7/3s7GwWLFhA165dWb16NQDPPPMM4eHhbs8uIiIiIiIiIiIiIiKXP/XsKcahQ4d45ZVXADAajbz88su8/PLLRY7/yCOP5D3Hx+l0smDBAhYsWABAQEAAQUFBJCcnk52dnVfmE088wWOPPebhORERERFP0VW/IiIiIiIiIlLR1NhTDIfDke/vEydOFDt+ampq3t/Nmzdn4sSJrFy5ki1btnD69GnOnTtHYGAgTZs2pWvXrtx55500b97cY/lFREREREREREREROTyp8aeYsTHx+N0Oi9p2qioKJdv+SYiIiIiIiIiIiIiInKp9MweERERERERERERERERH6aePSIiIiIiIiIi5aCsz/rTc/5ERESkKOrZIyIiIiIiIiIiIiIi4sPUs0dERERERMTLqTeAiIiIiIgURz17RERERERERERERFyQkZHBhAkTaNWqFUFBQQQFBdGpUyemT59e5DSfffYZXbp0oUmTJsTFxdGvXz/mz59fjqlFpDJQz57LSFYObNhjYc1OC2dTDRiNEBvh4MqmWTSqacdoqOiElU9WNqz7o06S03LrpFqkg85Ns2gYZ8egOinROds55h+Zz6qTq0jJTsFqtNI0oin9a/UnPiS+1OXZsmHdbgtrd+XWielCnSRk0aC66kQKcjqdbD+7nbmH57I/ZT85jhwirBF0q9aN7tW7E2gOrOiIbpeZBWt2WVi320JKeu56Ehdtp3NCNnVjtZ5UhKT0dD7btJR1Z5aSyTmMWKhirsfgev3pWbcBRu3ky126Ddbs9GP9HjOpGQbMJqhZxU6XhGxqV9V6IuIJWfYslh9fzqKjizideRqjwUjN4Jr0jetLq+hWGA26lrEkqRkGVu+wsHGfmbQMI35mJ/GxdrokZBEX7ajoeGWmHnDiDufTDaz63cLm/RbSMw34WZzUrWanS7MsqkdV/HqS48hhwd4FzNoyi4PnDgIQFxrHDc1voE/9PlhMlgpOeHk7e/YsvXr1YuPGjYSEhBAZGcnRo0dZtWoVq1atYtu2bbzwwgv5prn77rtZunQp3333HfXq1SMpKYlbb72VPn368O6773LvvfdW0NyIyOVGjT2XiS37zXy+yJ+0TCON4nJoHp+D3Qm7j5j57/dBxEbYGdM/g5iIij8wqSw27TUzfXEAGTZoVNOeVye7jph597sgqkfaGd0/g6rhqpPCOJ1OZu6dyay9szAajHSo2oGEyATSc9JZdXIVPx3+iSuqXsFDLR5y+cf29bvNzFwaQKYNmtTKoXm8HbsDdhwx887sIGpE2xnTL53oMKeH5058xamMU7y88WV2J++memB1Wke3xmK0cDTtKO9vf5+pO6dyZ9M76VWjV0VHdZvVOyx8ucyfrBxoVjuH+Bg7OXb4/ZCZtd/4UbuqndH90okI0XpSXv772wLmnf4/nAYbMcYO1LI2IcuRxQHbWt7as4ApO5vyfKdHiY+MrOiolcayrRZm/+pPjgMSaudQN9ZOVo6B7YfM/LbTj3rVcri9XwahgVpPRNxlzck1vLXlLc5nn6dlVEuuqHoFdqedLWe2MH7deOKC4nii9RPUDK5Z0VG9ktMJ8zf48dMaK04nNK+TQ/1q2diyDWw5YObX7X40qZXDqN7pBPpXdFopDTVwuY/TCT+tsfLLej+MBmhRN4fw6g4yswxs2mtm+VY/mtfJ5parMgjwq5iMm45tYux3Yzl6/iitq7WmR50eGDCw8fhGxn43ltjgWN4Y8Abt49pXTMBKYM6cOSQmJjJr1iwGDx6M2Wzm2LFj3HHHHfz4449MmDCB0aNHU7duXQA++eQT3nvvPdauXUu9evUAiIqKYtq0adSpU4dx48ZxzTXXEB8fX4FzJSKXCzX2XAY27jXz8c8BNI/PYdCVaVS56Idqp9PGvuMmvljizxvfBPLgkHQ1+JSD9bvNTP0lgJb1cri2Y2a+xgOn08aeRBMz/6iTh67LX2eS6+OdHzP7wGxuqHsDg+IHEeIXkjfsziZ3suL4Ct7b/h7PrHmGF9q/gL+5+LPS33Za+GxBAG3qZzOwYyZRofnrZHeiiZmL/XnjmyAeui4t33CpnJIyk3hi9RMYDUaebfcsLaNa5rti+FTGKabtnsabW94kx5FD35p9KzCte6zYZmHmkgA6NM7imva2fA06DqeNnYdNzFwSwBvfBPGP69MIC9J64mlv/PoTi87/j7rm/oxtO4y6UX826OQ4bue73zcz7cA7PLryKV7v/B9qhodXXNhKYuFGP7791Z/OzbLo386Wbz1wOGD7ITMzFvvz5jeBPHhdOiEBWk9EymrViVW8vOFl2lVtx+2Nbqd6UPW8YU6nkx3ndvDfbf/lydVP8p8O/yEuOK4C03qnH3+zMm+dlV6tbFzVOivftun6rrB5n5mZS/x5e3YQDwxJq7AfskUq0jcrrCzebKVfWxs9WtoIuugU8/qusGGvmVlLA5j8XSBjr03Hr5w70Gw8tpFbZt5C46qNmTxoMgkx+Rvqdp7ayfiF4xk5ayRTh07lippXlG/ASmLx4sW8//77DBo0KO+9atWq8cUXX9CwYUMSExNZs2YNdevWxel0Mn78eBo1akTbtm3zlRMREcGQIUOYMmUK77zzDhMnTizvWRGRy5Aae3xcWqaBTxcE0KpuDqP6ZhS4VZvBAPWq2XlgcBpvfB3EJ/MDeGRoWsXdWsSegen0bExn5kL2GbBEYo/sjz16EJgCKr48NzifbuCzhQG0bZDNLb0zC62TBjXsPDgknUlfB/Lp/AD+cX266x/ghfPsbutPrWf2gdn8vcnfGVB7QIHhZqOZ7tW7ExcUx1O/PcW03dMY02RMkeWdTTUwfZE/HRpncXPPTAyODEwn8n+HTSL7M+7aIUyaHcW0hQE8MLgC68QX6tjb59kN5b2z9R2cOPlPh/8QZQnEdPKLfOXFRvZnXNM78Tf789/t/6V5VHOqBVYrfVYvcfKckVlL/emakMXQrpkF9hNGAzSpZWfckDRe/yqI6Yv8uXtARsWErSTWHT3CouT3aOo3hBd7jsLozMR0YkbecuhniWRodH+aRT/Lk2v/xQsr3+O9qx93/QN8YVvjZo7sNM7u+JDkPdOxZ5zEFFCVsPrDiWg8BqMlqMTpj5428u2v/vRubePaTrYCw41GSIjP4cEhaUz6Oogvl/pze79SrCeVsE6kjDyxzHjZPjklK4VJmyfRIaYDj7Z6FJPBlG+4wWCgSUQTXurwEk+sfoKJmyYy6cpJGC6Xeym6oT72JJqYt87KwI6Z9GmTlVvmX46F20X2J2bg9bwxJ5I5K/0Z1j2zXDN6tLzKSN9hqW07aGbxZitDu2bQrXl2gfXEzxJJx8j+xAy4nrfmRPLjb1YGdy54LFCkMtZJtj2b++fcT+Oqjfn0hk8JsBScplGVRnx8/ceM+XoM9393P8vuXIbVbC2XfL7ownHh6U2flGq6gIAABgwo+DtFUFAQHTp04JtvvqFKlSoArFy5kn379jF8+PBCy+revTtTpkxhwYIFpZ8BEZFC6KbGPm7jvkCcTrihW8FGhYsF+cOQzjYOnzJx4ISp6BE9yZ6BZe+TmE58jiE7CQNODNlJmE58jmXvk2Av5Y+G7i7PTVZut2AwwNAS6iQ4wMmgK20cOGHm0EkXV0UvnWd3++HQD9QLrcffav2t2PHqheWOs+DoAjJzij4h/XW7H2YTXN8lt6GnqO8w6tjjXHvFefYkmklMqqA68YU69vZ5dkN5iWmJrD+9nlsb3EqUJbDI8vz2PcXt9YcTaA5k3uF5pcvpZVZss+Dv52TwlQUbei4WEexkQAcb2w9ZOJV8mfyQ5qVm/j4PkyOMZ7qNwOjMLHI5bJY8kV5RN3GcVew6dcq1wn1hW+Nmjuw0jsy/iTNb3sSecRxwYM84zpktb3Jk/k04stNKLGPZVj/Cghz8rUPxP+5Ehznp187Gpn1mktNcXE8qYZ1IGXlimfHCffKCowvIceRwd9O7CzT0XCzYEsyYxmPYn7KfHed2lC6nt3JTfSzd4kdMhJ3erbOKLbP2uUfp1SKNNTstZLj6G7YXLjOVnr7DS7Jsi4VaVex5DT1FfYf1zj9K12bprNzhR1a2i4W7oU4W7l3IsZRjPNf7uUIbei6wmq081/s5ktKT+GnXT+WWz9dcfFzozHTx+PkPkydPxmQqfH90+vRpatSoQefOnQFYvXo1ALVr1y50/KZNmwKwc+fOUmUQESmKGnt83Pq9VlrXyyTYmgGOzGJfjeNSiQq1s3K7ERyZOHJK0XPBDUynZ2PI3IeB/LczMeDEkLkP0+nZFVqeu6z83Y+2DbIJdOECmma1c4gIdrDyd9fuk1CWeXbkpJe4jJT0Ko9lJikziXWn1tG/Zn+XrsjsV7Mf6Tnp/Hri10KHO525DXDtG2bj71fyd9g6ZBahgQ5WbnetT35lWa4vVpaMGTYHtmzyvXKO/0BWWiJZdis2u3/eK8tuJSstkZzjP+QbP8NW/K0o3fEdzj8ynxBLCJ1jO5dYXuDZn+hdozfzj8zH7rSXWHZZuXtdduSkY8/JZPUOC50aZ2Axljx967opBFodrKqg/UllkJGdze6s+TQP7E+AxVLicnhr9TMYnQHM2LbIpfJ9YVvjbmd3fIjt7Hbgr9sQB7az2zm748Nip8/KgbW7LFzZNAuTC0fQ7RtmYzblPgfLFWWpk/SsdDJzMsv0Ss/yrfW4sP1JaV8l7U+8nSfWY2/cx/9y5BeujL2ScGt4iflbRrWkemB1fj78c6nn3Ru5o45TMwxs3m+mS7MsDIaSy+xS9RtyHLBut46FPaE8tl3e9B36yjno2VQDvx8y0zkhCyj5O+wWO4dMG2zcV37rycwtM2ldvTVNqzYtcdy6kXXpXLszMzfP9Hg+R066W14XK4/1pOjjwku3Y8cO1qxZw0cffYTVmvuD0J49ewCIjo4udJrY2Njcec7IIDk52W1ZRKTy0m3cfNzZVBMN7e9i3fqdS+PXsz5NUmIVrFvHsXcrNLh5v4cT/sl0Zm6Bg4c/OTGdmYs95qYKK88d7HY4k2KkbqxrP/iajFA7xs7pZNfaXcsyz3u/aIaLHbiLVB7LzPH04zhx0iSiiUvjxwTGEOUfxbH0Y4UOz8qB8+lG6lTLAUr+Dv3O/UTtmNs4VQ51Uh7leUJZMv7toSNA6F/eHf3Hy1VHWDi5lkfyXZCYnki90Hr4mfxcKq9xxF18e+Bb0lzoGVBW7l6X937RjJyscNJts2mY9SLWrStKnN4K1PJ/jTOHU7AGPVvu+5PKIPH8eRzGdFpVzd0WlrQcRqfNI8RZl5O2wreFf+UL2xp3S94znaJP6B0k75lOVPMHipz+fJqBrByDy/v4ACtUi7KXy/6k+VvNXfqMYs2HvY/sLXs55aTw/UlpFb8/8XaeWI+9bR/vdDo5ln6Mv9Uuvrf3BUaDkUbhjYo8LvQ17qjjMykGHA4DdavZXSozMuMbokNvLpfzk/Ioz9uUx7bLm75DXzkHPZ1sxImBei6uJzFZswgNGlau68mBswfo28D1Z4S2qd6GL7Z84fF8e79o5nKm4lxcx+WxnhR2XJiSksL58+fz/m21WvMabYrjcDhYs2YN9957LzNnzqRv3z/r6eTJkwAEBgYWOm1UVFTe32lpaYSFhZX4eSIixVHPHp9ngFLdRceJs3QTuE/2mSIHGUoYXi7lucGFw6PS3CLccNF0JfLCefYUQymWUwMGnM7iv8W80lz4Dku1hlSC5boAb8/opnx5PctcKe+PUZ2ur81exvDHf13PbzCA06nbuHlKgW2aK9suA7i8R/H29dgD7BknyzQ875st5T7eZZWwTqSMPLHMeOFymHv2UsrjQp/dH/9FBdaxy9e6V8ZjYW+n77DsXPwOy/M8vrTbNVfOkfNUwmWmsOO+pk2bEhYWlveaMGFCsWXs37+f6OhooqKi6Ny5Mxs2bOCRRx7h6aefJjU1FSDv/35+hd/N5eL37XbP3yVCRC5/6tnj48IC7ewz30eHhJEljut0woGtkdSOzcaWMCvv3qDlxhIJ2UmFZ7swvCLLcwOzCcKCHBw8aaJD45Jv4OtwwqFTJhrUyHHtA8owz/Vu3Mb27dtd+5wilMcyUzWgKgC7k3cTFxxX4vhJmUkk2ZLypvsrPzME+Ts4dNJEu4Y5JX6HDnM0h0+ZaFbb83VSLuV5Qhky/jAprsBy6LfzLgxFnEBcKC+r0Xt575W4HLrhO4wJiGFx4mKyHdn4uVDenuQ9BJoDCTYHl1h2Wbl7Xa534za2bN2OdYODvQFP0zih5N5J2XY4vDaaKxplVMz+pBKoHhaGweHP1tO7GUKrEpfrFEMMKRwg3s/Fqyt9YVvjZqaAqn88q6fo4cUJDXRiNjk5dNJEo7iST8Zt2XD8rIkmtTy/P9nywBaf2Me7U2H7k9LytXkuwBPrsZft4w0GA1UDqrI7eTdXc3WJ8Z1OJ3vO7yE+JL7EcX2CG+o4PNiJwZC77apZxVFimanO2iSdNxIV4mJzT2U8Fi6Dctl2edF36CvnoJF/LO8HTxqpGl7yenLW3oDz6Ya86UrkhjqpGVaTzcc3u/Z5wObjm6kRVsPj+erduM3lTK4qj/WksOPC7du3U6PGn99ZSb16jEYj3333HR07dsRmszFnzhzuvvtuXnzxRVauXMmCBQvIysoqPsdFz/4pqvePiEhpqGePj2tVL5N1e/xJz/YHY/Gv3ceCOHnOTMcmDjD6YzSX747EHtm/mF5FBuyR/Su0PHfp2DibNTstZBa/Twdgx2ETSeeNdHShYQjKNs9Gc2CJy0hJr/JYZqoEVKFlVEt+OuzawyR/PvwzfkY/ulTrUuhwgwE6Nslm9c7cB2iW9B1usv2ds6lGOjZxoQKpPMv1xcqSMcBqxGoh38tcpSd+JhtWU2YhLxvmKj3zjR9gLX7X5Y7v8KoaV3Eu6xyrT6wusbzM8D78cuQXelbviclY9IOj3cXd67LRHIjJ7E/7Rjn8+nsAOc6Sp998IJjUTCMdmzgrZH9SGQRaLNQx92BT6lyycuwlLoefnuuE3ZjCDU16uFS+L2xr3C2s/nCKPvQ1/jG8aFYLtKmfzYptfjhc+G1n3W4LtixcuvgDylYngX6B+Jv9y/QK9POt9biw/UlpXyXtT7ydJ9Zjb9zH967Rm2XHlpGanVpi/m1nt3Eo9RC943q7OstezR11HBropFntHJZv88PpLLnM5cn3YjCQe5FUOWX0ZHnepjy2Xd70HfrKOWhUqJMGNXJYsTW3l0VJ3+HSs3fjZ4bW9Ty/j79gaMJQVh9ezZ6kPSWOe/jcYZbsX8KNzW/0eD6jOdAtr4uVx3pS2HFhSEgIoaGhea+SGntq165Np06dMBgM+Pv7c+ONN/LWW28BsHDhQhYsWJDXmJORkVFoGRe/HxQUVOzniYi4wrfPcITWddOxO2D2r/4U10PXlg3f/upPtUg79atXTNdQe/QgnP51cV50oyAn5P7bvy726EEVWp67XNk0i2w7zFlZfJ1kZOWOUyPaTh0X7//vrfPsbtfUuoad53ay8OjCYsc7knqE7w5+R4/qPQgs5iSgS7MsMrPgu9VWcqKK/g7TTM2YveMqale1U6uqa1dpVZbl+mLePs/uKK9WSC0SIhP4bPdnnA3tWWx505JtnM86z9W1Sr7i2Jt1TcgiJcPI3DXFn9SkZhj4YbU/DWvkEBvp2w8393Y3Nr6abNNpXl7xdbHL9UFHM+adX020oz0JsdVcKtsXtjXuFtF4DNaIphQ8/DVijWhKROMxJZbRNSGLMylG5m8o/FYcFySnGZi7xkqz+BwiQ1y7hUplrBMpG08sM964T+4T1wcnTj7a8VGxtyTKzMnk4x0fExcUR4vIFqXK6a3cVR9dE7I4etrEr9stxZZ50tGBX/a0p039bIL8K2bbpW1h2ek7vDTdErLYd9zMmp3FryeJ9s4s3teaKxpl41/84UAed9RJvwb9iA6M5rmFz5FtL7qRye6w8/yi5wn1D2Vg44Hlls/XFH1cWDY333xz3q3ZNm3aREhICJD7PKDCpKenA1C1alX8/f3dmkVEKic19vi40EAnN/XIZOXvfny+yJ/z6QWvxjh2xsg7s4M4lWzk1t4ZpXqejFuZAsiuNwF7zM1gicq9csQShT3mZrLrTQBTQMWW5yYRIU5u7JbJ8m1+zFjsT0ohdZKYZOTt2UGcTTFy61WlqBMvnWd361C1A73jevP2lrf5dv+32Oy2fMMdTgfrT63nqd+eIso/ilsb3lpseVGhTq7vksmSzVZmrYjgbPX/FPgOD1jH8vrWNzifbuKWqwq/6qZQlWS59mhGLy3v/oT7Sc9J56l1z7M9+o4C5Z2Lup7/5jTmywOzGdVoFDWDa5Yup5epFung2k6Z/LzeytcrrKRnFhzn0Ekjb34biC0bbupRivVELkmnWvFcETiStRmf8fSSL0mM/Ve+5dBhimS+YxgPHj2Pg2yeuOJu1wv3hW2NmxktQcT1nkFk83GYAmIBI6aAWCKbjyOu9wyMlpKvpqwd46BfOxvfr/bn+1VWMvLvnnA6Yd8xE298E4QTuKFbIStSUSphnUgZeWKZ8cJ9crg1nPua3ceCowt4c8ubnLWdLTDOodRDPLPmGY6kHeHhlg//+dw9X+em+mhc00635ll8scSfnzeGkVorf5lOcxTbDI/w2saXCLQ6GdLZVnKhbs7osfIqI32Hl6RF3Rw6NM5i2kJ/Fm0NI612/u/QYY5ms/NxJm18johgJwM6lO8+3mq2MmnAJH47/Bt//+bvHDp3qMA4R5OPcu/se1m8bzGvXfMaARYX67oSLjMXHxca/Ku4r1yjkZo1c88L/f39iYvLvTX9oUMF6wvg6NGjADRq1MhtGUSkctMzey4DHRpnYzDAzCX+rN1loUWdHGpE27E7YPdRM3sSzYQHORg7KI246Aq+CtsUgD3mJuwxN3lneW5yZdPcOvlyqT+/7bTQql4O1SJz62TnETP7jpmJDHEwdnAa1aNKWSdeOs/uZDAYuLfZvQSYApiycwqz9s2ia2xXogOiycjJ4Nfjv5KYnkjTiKY80foJgi0lPyelW/NsTEb4ark/q3ZUoWXd26kWORK7A3bsMbP/uJmoUAcPDE4jJqKC68QX6tjb59kN5VULrMZLV7zEi+tf5JHf/kmDsAa0je6Hxc/CkbQjrNj2PQ6ngzsa38HAeNeumvN2vVtnYTLCnJVWVmzzo3W9bKqGO8ixG9h+yMyhkyaqhtsZNySd6LDL5OHXXu7JLtcx8VcLK1Km8Pfl31Pb3JXYgEFk2bPZlbaGVNMXBFCb59q9RIPo6NIV7gvbGjczWoKIav4AUc0fuOQyrmlvw2Jy8uNvVhZv9qNN/Wyiwxxk2w1sPWDm6GkT1SPt3H9tOhHBpVxPKmGdSBl5Ypnxwn1yzxo9MRgMTN42maXHltIxpiPxIfE4nA62nNnC1jNbibJG8cIVL1A3tK57cnsLN3x/BgNc1yUTP7OTH36zMn9DVdrWv42IkJFkZRvYtN/MibMmasfk8PerM1zu1ePOjB4trzLSd1hqBgMM75GJv8XJNyv8mbfWSpsGtxERPJIMm4FN+8ycSjZRr3oOY/plEFB8Z/iC3FAnV9a6kg+v/5Bx34+j1we96FanG62rt8aAgc3HN7No3yKC/YJ5b8h79Kzbs9zz+ZoLx4UZEdcBrl24t2zZMho3bkyVKkU3EF3oxdOjR4+83jp79+4tdNwDBw7kjSsi4g5q7LlMXNEom4Tauc8lWbPTwu5EE0YDxEY4uK1vOi3q5GD2/KMk5CKdmmTTok42q3fk1smOwyZMxtyr52/vl06L+BxMqpMimQwm7mhyBwNqD2De4XmsOrGKlOwUrCYrTcKbcH/C/TSNaFqqKzc7N8umZd0cVu+wsGZXbp2YTbl1MqZ/OgnxOZjU31EuEhccxztd32HtqbXMOzSPn4/8TI4jhwhrBMPqD6N3jd6EW8MrOqZb9WyZRdsG2az63cK63Ra2HTRjNkGNKDt3XmOjaa0cjFpPyo3RaOCxLtdy6Fw3Pt28gC0pSzic/RtGLEQY63F9zWcZ2LgFFu1Qyo3BAH3bZtGhcTa/brewfo+FLQdy15OaVewM7JhJ45p2jJdJxwIRb9Gjeg/aVWnHoqOLWJS4iK1ntmI0GIkLiuPhlg/TKaYTFqOlomN6LaMBru1ko0tCFr9u82PjPjNpmWYsJoiPtXNjt0zqV7dX3F0gRLyA0QjXd7XRrUXuerJ5f+56YrVA3Wp2bu6VSd3Yil1POtfuzLI7l/HDjh+YuWUmn234DCdOaobV5Pk+zzOw8UCC/PTsF0/Zvn07ixcv5l//+lehw/fu3cvJkycZPHgwTZs2JSQkBKPRyG+//UZ2djYWS/791Lp16wC4/vrrPZ5dRCoHNfZcRgL9c3+k69nStQfLi+cF+UOvVln0aqU6uVSxgbGMajSKUY1GuaW84AAnV7XO4qrWqhNxjclgokPVDnSo2qGio5Sb0EAnfdtm0bet1hNvUSs8nH92ux7QiaC3CAtycnX7LK5ur/VEpLwEW4IZGD/wsulRWxEiQ5wM6GhjQMdS3KpNpJKpEuZk0JU2Bl3pHevJ1q1bC7zX2NCYf7f4d4H39+/aX+C9hIQEj+SqjPr27Uvbtm0ZM2YM1atXLzD81VdfpVGjRrz//vsA1KxZk6FDh/LFF18wa9Ysbr755rxxHQ4Hs2bNYsiQIbRs2bLc5kFELm+6NldERERERERERESkGHXq1MFisdCrVy/mz5+Pw5F7C/j09HTGjx/P7t27WbJkSb7bvL3zzjvUqVOHBx54gF9++QUAm83GuHHjAPi///u/8p8REblsqbFHREREREREREREpARvvfUW1atXZ8SIEURHR9OuXTtGjhxJixYtmD9/PjExMfnGr1KlCmvWrGH48OF5PYJatWpFQEAAv/32G1FRURU0JyJyOdJt3ERERERERERERERKMGzYMIYNG1aqaaKionj77bd5++23PZRKRCSXevaIiIiIiIiIiIiIiIj4MDX2iIiIiIiIiIiIiIiI+DA19oiIiIiIiIiIiIiIiPgwNfaIiIiIiIiIiIiIiIj4MDX2iIiIiIiIiIiIiIiI+DA19oiIiIiIiIiIiIiIiPgwNfaIiIiIiIiIiIiIiIj4MDX2iIiIiIiIiIiIiIiI+DA19oiIiIiIiIiIiIiIiPgwNfaIiIiIiIiIiIiIiIj4MDX2iIiIiIiIiIiIiIiI+DA19oiIiIiIiIiIiIiIiPgwNfaIiIiIiIiIiIiIiIj4MDX2iIiIiIiIiIiIiIiI+DA19pSTlJQUnn32WZo3b05wcDBhYWG0b9+e1157jaysrIqOJyIiIiIiIiIiIiIiPspc0QEqg4MHD9KjRw8OHDgAQGBgIDabjbVr17J27VqmTZvGggULiIiIqNigIiIiIiIiIiIiIiLic9Szx8PsdjsDBw7kwIEDVKtWjV9++YW0tDTS09OZMWMGISEhbNiwgREjRlR0VBERERERERERERER8UFq7PGwKVOmsGXLFgC++uorevfuDYDRaGTYsGG89957APz0008sWLCgwnKKiIiIiIiIiIiIiIhvUmOPh02dOhWAnj170qlTpwLDb7rpJurUqQPAJ598Uq7ZRERERERERERERETE96mxx4PS09NZsWIFAFdffXWh4xgMBvr37w/Azz//XG7ZRERERERERERERETk8qDGHg/6/fffcTgcACQkJBQ53oVhx48f58yZM+WSTURERERERERERERELg/mig5wOUtMTMz7u0aNGkWOd/GwxMREIiMjC4xjs9mw2Wx5/05OTgbg1KlTl5wvPDw8379PnDhxyWX5QnmeKFPlqU4u9/I8UabKK1t5nihT5VVseZ4os7KX5wnePs+Xe3meKFPlqU4ut/I8UabKU51cbuV5oszKXp4nlGfGY8eOAeRdrC0i4svU2ONBKSkpeX8HBgYWOd7Fwy6e5mITJkxg/PjxBd4fPnx4GRKKiIiIiIiIiIhUbocPH6ZWrVoVHUNEpEzU2OMjnnzySf7xj3/k/TsnJ4fff/+dmjVrYjQWfje+Hj16sHjxYrd8fkpKCk2bNmX79u2EhIS4pUxvzwfen7Ey5QPvz1gZ84H3Z6xM+cD7M1bGfOD9GStTPvD+jJUxH3h/xsqUD7w/o/KVnbdnrIz5wPszVqZ84P0ZK2M+cG/G5ORkEhISaNKkiVvKExGpSGrs8aCLd2Tp6elFjnfxsKJ2flarFavVmu+9zp07F/v5fn5+xMXFuRK1ROfPnwdybzkXGhrqljK9PR94f8bKlA+8P2NlzAfen7Ey5QPvz1gZ84H3Z6xM+cD7M1bGfOD9GStTPvD+jMpXdt6esTLmA+/PWJnygfdnrIz5wL0ZL+Qym/UTqYj4vsK7hIhbVK9ePe/vo0ePFjnexcMunqas7rvvPreV5Qneng+8P6PylZ23Z/T2fOD9GZWv7Lw9o7fnA+/PqHxl5+0ZvT0feH9G5Ss7b8+ofGXn7Rm9PR94f0blKztvz+jt+cA3MoqIVASD0+l0VnSIy1V6ejohISE4HA5eeeUVHn300ULHu/fee/nvf/9LbGxs3oPhvM358+cJCwsjOTnZrVdjuIu35wPvz+jt+cD7Mypf2Xl7Rm/PB96fUfnKztszens+8P6Myld23p7R2/OB92dUvrLz9ozKV3bentHb84H3Z1S+svOFjCIirlLPHg8KDAzMu9Xa3LlzCx3H6XQyb948APr27Vtu2UrLarXy73//u8Ct5LyFt+cD78/o7fnA+zMqX9l5e0Zvzwfen1H5ys7bM3p7PvD+jMpXdt6e0dvzgfdnVL6y8/aMyld23p7R2/OB92dUvrLzhYwiIq5Szx4P+/DDD7njjjswGAysXLmSDh065Bv+xRdfMGzYMADmz5/PVVddVRExRURERERERERERETER6lnj4eNGjWK5s2b43Q6uf7661mwYAEADoeDWbNm8fe//x2Aq6++Wg09IiIiIiIiIiIiIiJSaurZUw4OHDhAz549OXDgAJB7ezeHw0FmZiYArVu3ZsGCBURERFRgShERERERERERERER8UVq7CknKSkpTJw4ka+//pr9+/djNBpp2LAhw4cPZ+zYsfj5+VV0RBERERERERERERER8UFq7BEREREREREREREREfFhemaPiIiIiIiIiIiIiIiID1Njj4iIiIiIiIiIiIiIiA8zV3QAERFfsWXLFnbs2MHx48dJS0vDbrcTGBhIcHAwtWrVolGjRsTHxyuj8lXqjN6eT0RERES805EjR/joo4/Iycnh3//+NyaTqaIj5ePt+cD7M3p7PhERX6dn9kgeX/iBztszens+X8jobflsNhuvvfYab7/9NidPnixx/Jo1a3LDDTfw8MMPExsbWw4JvT+j8pWdt2f09nzusHTpUrp161bRMYrk7fnA+zN6ez4RKZkvrMfenlH5ys7bM5ZXvrNnzzJ9+nR27tyJyWSidevWXHvttYSFhRU5zbZt22jevDkGg4Hs7GyMRs/djMbb8/lCRm/Pd6nUICUivkyNPZWcL/xA5+0ZvT0feH9Gb82XmZnJgAEDWLRoEU6nE4vFQv369YmNjSUqKgo/Pz9MJhMZGRmkp6dz9OhRDh48yLlz5wgJCeHTTz/l2muv9Vg+X8iofJd/Rm/P5y4NGzZk165dFR2jSN6eD7w/o7fnA+//ARG8P6PylZ03Z/SF9djbMypf2Xl7xvLI9+233zJy5EjS0tLyvR8cHMzjjz/O448/XugP6EeOHKFWrVoYDAbsdnulzecLGb093wWXa4OUiEhR1NhTifnCD3TentHb8/lCRm/O99prr/HYY49x6623Mnr0aK688krM5pLvfrlv3z5mzJjBpEmTmDdvHm3atPFIPl/IqHyXf0Zvz+cucXFxHDlypKJjFMnb84H3Z/T2fOD9PyCC92dUvrLz5oy+sB57e0blKztvz+jpfNu2baNNmzZkZ2cD0Lp1a+rXr8+pU6dYs2YNaWlpdOnSha+//pro6Oh80548eZLY2FiPNgR4ez5fyOjt+S7wlQYpERF30jN7KrF3332XRYsWXfIPdGPGjPH4D3TentHb8/lCRm/O98knn/DOO+9wzz33lGq6unXr8tRTT9GmTRuee+45vv32W7dnu8DbMypf2Xl7Rm/PB/DNN9+wYMEC/P39CQgIwN/fH6vVisViwWAwFBjf4XDgcDiw2+1kZmaya9cujh07Vmnz+UJGb8/nLunp6RUdoUTenlH5ys5TGX1hPfb2jMp3+Wf09nwAr776KtnZ2cTFxTF9+nQ6d+6cNywtLY1PP/2U8ePHc+WVV/LLL79Qu3btvOHlcbssb8/nCxm9PR/kNkgNGzasyAapp59+mrlz5xbaIOXn51cuGUVEPEE9eyqxli1bcvfdd5f6B7oL5s6dy//+9z+P/kDn7Rm9PR94f0ZvzueOq94aN27Mjh073JSoIG/PqHxl5+0ZvT0fwLp162jfvn2hP4KUhqeu7PP2fOD9Gb09H7jnB7rPP/+8UmdUvss7oy+sx96eUfnKztszens+gNq1a3Pk/9u787Ao6/3/468Z9h1ZVRBwxz01DTO3OoZHLc3dFrdS01JLSz2Va6Z50qyjpi2u2UnTzDRzybWvaWpuae6IayigoIDs8/794W/mgMzAwDDMZ+D1uC6uq5j7nnkyM7f38Plw3/f169i6dSs6duxodJnbt29j0KBBOHr0KHbs2IF69eoZvh8YGGjVIypU77OHRtX7AGDQoEFYuXJlkRNSXl5eBSakyqqRiMgaONlTgdnDAJ3qjar3Aeo3qtzXuHFj/PnnnyVePysrC1WrVkViYmIpVuWneiP7LKd6o+p9eh06dEBMTAxq1qxp9jo6nQ5ZWVmIiYnB7du3rfrLnup9gPqNqvfZwwCd6o3ss5zqjapvx4D6jeyznOqNqve5uroCeHC67qJMnjwZixYtwtatW9G8efMyGWRXvc8eGlXvA+xjQoqIyBp4GrcKzM/Pz6L1s7KyrD44p3qj6n2A+o0q9zVq1Ajffvst+vfvX6L1J0+ejBo1apRyVX6qN7LPcqo3qt6nN2rUKCxbtgybNm0q9rr37t1DUFCQFar+R/U+QP1G1fuaN2+Odu3aWTxAZ02qN7LPcqo3qr4dA+o3ss9yqjeq3uft7Y179+6Ztez06dNRs2ZNREdHY/369WjQoIFV2wD1+wD1G1XvA4Bbt27BycnJ5EQPAPj7+2PTpk2YPHky2rZta5iQIiKya0IV1vPPPy///e9/S7z+hAkTpEWLFqVYVJDqjar3iajfqHLfqVOnxNfXV8aMGSMHDx6UjIyMIteJi4uTdevWSXR0tGi1Wlm2bJlV2uylkX3lv1H1Pr2cnBwJCQmRc+fOlWj9sLCwUi7KT/U+EfUbVe8TEfn++++la9euJVr37t274uLiUspFBaneyD7LqdxoD9ux6o3ss5zqjar3denSRbRarfzxxx9mr7N161YJCgqSZcuWiUajEa1WW2H7RNRvVL1PRCQwMLBY+6vly5eLv7+/7N27VxITE8ukkYjIGjjZU4HZwwCd6o2q99lDo+p9O3bskODgYNFqteLo6ChVq1aVxo0bS1RUlLRt21batm0rLVq0kMjISPHw8BCtVitarVY0Go2MGjXKal321Mi+8t+oep/e+PHjZcCAASVa94033ijlmoJU7xNRv1H1PtUH6ETUb2Sf5VRvVH07FlG/kX2WU71R5b7du3eLVquVNm3aSFxcnNnrHT58WCpXrmz1QXbV+0TUb1S9T8Q+JqSIiKyBkz0VnD0M0KneqHqfPTSq3peYmChTp06V2rVri0ajKfTLxcVFOnbsKFu2bLF6lz01sq/8N6reJyJy7tw5mTFjRpk+ZnGo3ieifqPqfSJqD9Dpqd7IPsup3GgP27HqjeyznOqNqvd99NFHUrduXalataq0atVKjh07ZtZ6Fy5ckJo1a4pWq5Xc3NwK22cPjar32cOEFBGRNWhERGx9Kjmyrdu3b2PBggX45ptvcPHixUKXdXZ2Rtu2bTF27Fh06tSpjArVb1S9D1C/UfU+vaSkJMTExCA+Ph6pqanIysqCg4MDvLy8EBoaisjISMMFK21F9Ub2lf9G1fuIbOn8+fNYu3Yt3n33XVunmKR6I/ssZw+NRFQ+3L9/H1qt1uzPfvHx8RgxYgRWr14NJycnK9ep3weo36hq35w5c/DVV18hJSUF4eHh+Oyzz/DII48Uud7FixfRqVMnxMbGIjs7G1qt1mqNRESljZM9lI89DNCp3qh6nz00qt5HRERERERERPZB1QkpIqLSxskeIiIiIiIiIiIiIiIiO8ZjEYmIrKhXr162TiiS6o3ss5zqjar3Aeo3qt4HqN+oeh8RFc0etmPVG9lnOdUbVe8D1G9UvQ9Qv1H1PiIie8XJHrKIPeygVW9UvQ9Qv1HlvuPHj9s6oUiqN7LPcqo3qt4HqN+oeh+gfqPqfYDa+zs91RvZZzmVG+1hO1a9kX2WU71R9T5A/UbV+wD1G1XvA9Te3xERmeJo6wCyb/awg1a9UfU+QP1Ga/WlpqYiIyMDrq6ucHNzg4ODQ7HWv3jxIuLi4qzSpqd6I/ssp3qj6n2A+o2q9wHqN6reV1pU3x8D6jeyz3L83KVuI/ssp3qj6n2A+o2q9wHqN6reV1rsYZ9MRPQwTvZUYPawg1a9UfU+QP1GlftWrFiB0aNHG/5fo9HA1dUVTk5O0Gg0BZbX6XTQ6XTIzc1FZmYmyuKSaKo3sq/8N6reZw+NqvfZQ6PqfYDa+zs91RvZZzmVG+1hO1a9kX3lv1H1PntoVL3PHhpV7wPU3t8REVmTRsriX1lS0sKFC0tlB52bm1thG1Xvs4dGlfvu37+PatWqISkpqcT3odForPr6qt7IPsup3qh6H6B+o+p9gPqNqvcBau/v7KWRfeW70R62Y9Ub2Wc51RtV7wPUb1S9D1C/UfU+QO39HRGRNXGypwKzhx206o2q9wHqN6reN3HiRJw/fx5jxowxex2dToesrCwcOXIEkyZNsvoHRNUb2Wc51RtV7wPUb1S9D1C/UfU+1fd3gPqN7LOc6o2qb8eA+o3ss5zqjar3Aeo3qt4HqN+oep/q+zsiImvhZE8Fp/oOGlC/UfU+QP1GlfsuX76Mtm3b4tKlS3B0LP6ZLwMCApCYmGiFsv9RvZF9llO9UfU+QP1G1fsA9RtV7wPU3t/pqd7IPsup3GgP27HqjeyznOqNqvcB6jeq3geo36h6H6D2/o6IyGqEKrTY2FipVq2aZGdnl2h9f3//Ui4qSPVG1ftE1G9Uva9Tp06ydOnSEq1br169Uq4xTvVG9llO9UbV+0TUb1S9T0T9RtX7VN/fiajfyD7Lqd6o+nYson4j+yyneqPqfSLqN6reJ6J+o+p9qu/viIisQWvrySayrYiICDRo0ABff/11idYPCgoq5aKCVG9UvQ9Qv1H1vv79++Pf//53idbdsGFD6caYoHoj+yyneqPqfYD6jar3Aeo3qt6n+v4OUL+RfZZTvVH17RhQv5F9llO9UfU+QP1G1fsA9RtV71N9f0dEZA08jRth5cqVmDVrFs6cOVPsdc+fP486depYoSo/1RtV7wPUb1S5T0Sg0+ng4OBgtcewlOqN7LOc6o2q9wHqN6reB6jfqHofoPb+Tk/1RvZZTuVGe9iOVW9kn+VUb1S9D1C/UfU+QP1G1fsAtfd3RETWwMkesosdtOqNqvcB6jeq3kdERFQa7GF/p3oj+yxnD41ERESW4v6OiCoansaNoNFolN/xqd6oeh+gfqPqfUWZN28eDh06ZOuMQqneyD7Lqd6oeh+gfqPqfYD6jbbus4f9neqN7LOcPTQWxtbbsTlUb2Sf5VRvVL0PUL9R9T5A/UZb99n7/o6IqLh4ZA+ZZd68eWjdujVatmxp6xSTVG9UvQ9Qv1Hlvnr16uHChQvIycmxdYpJqjeyz3KqN6reB6jfqHofoH6j6n2A2vs7PdUb2Wc5lRvtYTtWvZF9llO9UfU+QP1G1fsA9RtV7wPU3t8RERUXj+whs3zxxRd4/PHHbZ1RKNUbVe8D1G9Uvc8e5s5Vb2Sf5VRvVL0PUL9R9T5A/UbV+1Tf3wHqN7LPcqo3qr4dA+o3ss9yqjeq3geo36h6H6B+o+p9qu/viIiKg5M9ZDbVd9CA+o2q9wHqN6reR0REVBrsYX+neiP7LGcPjURERJbi/o6IygtO9hAREREREREREREREdkxTvYQERERERERERERERHZMU72EBGVAgcHB1snFEn1RvZZTvVG1fsA9RtV7wPUb1S9j4iKZg/bseqN7LOc6o2q9wHqN6reB6jfqHofEVF542jrALIP9rCDVr1R9T5A/UaV+37//Xf8/PPPts4olOqN7LOc6o2q9wHqN6reB6jfqHofoPb+Tk/1RvZZTuVGe9iOVW9kn+VUb1S9D1C/UfU+QP1G1fsAtfd3RETFpRFehYzMkJqaip9//hl9+vSxdYpJqjeq3geo36h6H9mf4OBgDBo0CP/617/g6+tr6xxSUHZ2NuLi4pCTk4MaNWrYOgcA8OOPP8Lb2xsdOnQwfG/btm2Ijo62YdUDIoLExER4enrCzc3N1jlGZWVlISUlBf7+/rZOMcke9neqN7LPcqo0pqSkIC0tDbm5uXB3d4eHhwecnZ1t2lQS3J+Yzx72JYBa+xNuJ9aj6nYC2Me2otJ2Yooq+zsiolIhRFSuBQUFyfjx4yUpKcnWKWQje/bskbZt24qPj48EBwdLv3795Pjx42Xy2Js3b5bNmzdLTk6O0du3bt0qnTt3lqCgIPHw8JDGjRvLtGnTJDk5uUz6NBqNaLVaqVSpksyePVvS09PL5HFL4u+//5bJkydLq1atxN/fX5ydncXb21siIyOlb9++snLlSqX7VXH37l05evSonDhxQjIzM4tc/siRI6LRaMTBwcGs5cuCRqOR+vXr5/tezZo1bVTzwJkzZ6RHjx7i7u4uWq1WtFqtVKlSRcaPHy+3bt0qs46LFy/KunXr5Pfffy9w261bt6R3797i5OQkWq1WfHx8ZOTIkXL9+vUy6zPm3r17EhcXJ9evX5c7d+4o8z4rrqysLLly5YrExMTYOsVgw4YNsmvXrnzf27p1q41q/ken00l8fLzcv3/f1imFyszMlMTExDJ/3CtXrsjbb78tzZo1Ew8PD8O/KXm/KleuLO3atZOpU6fKn3/+WeaNItyfWIMq+xIR9fcn3E7KjmrbiYg624rq24kx5eVzFxGRKZzsIbvHgezC2ctgdnkdyI6KirL6Y1y7dk0GDx4s9evXl3bt2smiRYsM78m9e/caPmBrNBrDl5OTkyxYsMDqbfpf1m7fvl3gtilTphh+OcnbptFoJCgoSHbv3l0mfVqtVr788ktp3ry5VK1aVRYtWiTZ2dlWf+zi2LBhg/j4+Bh9rvRfWq1WAgIC5NNPPxWdTmfr5GIpi+3k9u3b8vzzzxu2B61WKx4eHjJgwAC5cOGCyfViY2MNz68qNBqN1KtXz/D/Op1OfHx8rPZ4q1evlp07d5q8/cyZM+Lt7W3y/Vm5cmU5dOiQ1fr0xowZIw4ODobXt3nz5oaJh4yMDGnUqJGh0cXFRapUqSKOjo4SFBRkdJDCWjhAV3ZUG6BTZXBORN0BukWLFomzs3Oh+ztj+79evXrJnTt3rN4nwv1JSdnLvkRE/f0Jt5Oyxc9dxqm+nejZy+cuIqLSwskesggHstUeyNY3qj6YXZ4Hsq09qBQXFychISEFnruOHTtKamqq/POf/xSNRiORkZEyY8YMWbVqlSxatEheeOEFcXNzk5UrV1q1T//aPbyN/P7774bmatWqybx58+Tw4cNy/vx5+e2332TmzJkSERFh9e1E33fjxg0REfnmm2+kevXqEhERIUuWLDE5kVuWjh8/Ls7OzhIUFCT/+te/5JtvvpEtW7bI559/Lv/4xz/E399f3n77bYmOjhYXFxfRarXSvn17uzqaz9rbyf3796Vu3bom/41xd3eXxYsXG103Li7O6oMOW7ZskXbt2knnzp2lR48e0rt3b+nfv7+88MIL8tJLL8mgQYNk8ODBhi+NRiO+vr4yePBgeemll6RVq1ZW7du2bZu8+OKLJm/v06ePaDQaadasmaxZs0Zu3rwp2dnZkpiYKFu3bpXevXtLQECAXLt2zWqNy5cvF41GI507d5aPP/5Y5s2bJx06dJDw8HBJTEyUGTNmGF7HCRMmGI6ouHfvnsyePVsiIiKM7stLGwfoyhYHso1TdYBux44d+f59W758uRw6dEiuXr0qaWlpkp2dLTqdTtLS0iQhIUGOHz8uGzZskPfee08iIyOlXr16kpKSYrU+Ee5PLGEP+xIR9fcn3E4sp/J2ImIf24rq24mePXzuIiIqbZzsIYtwIFvtgey8jaoOZqs8kH316lU5fPiwnDx5Ui5evCjXr1+XhIQESU5Olrt37xb4SkpKktu3b0t8fLxcvXpVfvnlF3FxcbFq47Bhw0Sj0YiHh4fMmzdP/vzzT9m5c6e8+OKL8swzz4iPj4/07NnT6OscGxsrLVq0kJs3b1qtz9Q2MnToUMNfXN+9e9founfv3pWOHTvKvXv3rN6n3z5EHpyKaO7cueLv7y81a9aUFStWSG5urtUaitK7d2/p1q2bydP9vP322/LUU09Jbm6u3LlzR9555x1xdXWVxo0bW/W507OH7STvL5yvvPKK/Pnnn3L//n25cuWKLFmyRKKiokSr1cro0aMLrJuYmGj1QYfExERxdXUt1i+ixn4xtZacnBwJCQkx+ZeOwcHB0qZNm0KP5vjggw9k+PDh1kqUJ554QiZNmlTg+x9++KF06tRJKlWqJFqtVnr37m10/Y8++kgmT55stT4RDtCVBpUH6OxhcE5E7QG66Oho6dy5c4k+4+l0Onn99ddlwoQJpR+WB/cnJWcP+xIR9fcn3E4sp/J2ImIf24rq24mIfXzuIiKyBk72VGD2MEDHgezSa1R1MFvlgezly5cbPcy7uF/WFBoaKlqtVtasWVPgtvfee0+0Wq1cvXrV5PpHjx6Vd955x2p9praRxx57TLRarfz444+Frv/777/LzJkzrd6Xd/vQS0pKklGjRomTk5PUqlVLli9fbpPJ0WrVqhX6l2Xp6eni5OQkH374oeF7R48elbCwMOncubPV++xhO3nkkUdEq9XK9OnTTS6zcuVK8fX1lRdeeCHf61wWgw76x/fz85PWrVvLnDlzTH599NFHotFoJDAwUKZMmSLjxo2TLl26WL1v0aJF0rhxY0lLSytwW6VKlWTz5s2Frp+dnZ3vCIvSFhAQIFlZWUZv69ixo2g0GnFzczN5Gqr79+9L8+bNrdYnwgG60qDyAJ09DM6JqD1AFxoaatFfUmdkZBQ4bV9p4/7EMqrvS0TU359wOykdKm8nIupvK6pvJyL28bmLiMgaONlTgdnDAB0Hsi2n+mC2ygPZ2dnZEhISUuIBpbL4RUV/bSNjkpKSxMvLq8j76NChQ2lnGZjaRh599FHRarUmJ0Pzevrpp62VV+j2oXf69Gnp1KmTaDQaiYiIkM8++6xMrx9Vp06dIpcJCwuT2rVr5/vehQsXJCgoSFasWGGtNBGxj+3E09NTHBwcipwgvnDhgjRs2FCeeeYZycjIEJGyG3QQEYmPj5f+/ftLr169JC4uzuRyGo2mwC/wgYGBVm3LycmRZs2aSffu3Q3Pjd7jjz9u1umnQkJCrJUnNWrUMPr9u3fvip+fn2i1WhkxYkSh92HtAUQO0JUOlQfoVB+cE1F7gK40fnZr/jsjwv2JpVTfl4iovz/hdlJ6VN1ORNTfVlTfTkTs43MXEZE1cLKnArOHAToOZFtO9cFs1QeyP/jgA3n++efl8uXLZn9dunRJzp49K998843Vt5HKlStLeHi4ydsDAgKK/Gsmc16DksjNzS306Ddj3zemSZMmVukTMW/70Pvpp5+kVq1aotU+uH7Uu+++a/XT7YiI1K9fv9Bflm/fvi3Ozs7i7u5e4Lb169dLtWrVrH7knurbiaenp3h4eJi17L1796Rjx47SoUMHSUtLK9NBB72tW7dK06ZNZcGCBUavUWZs0OHhfyOt4eLFi+Lr6ystWrSQy5cvG76/YsWKIv/Sf9u2bVK9enWrtTVs2FASEhIKfH/s2LGG12/t2rUm109PT5fg4GCr9YlwgK40qTpAp/rgnIjaA3RPPPGExMbGlnj9X375pdDPRKWB+xPLqbwvEVF/f8LtpPSpuJ2IqL2tqL6diNjH5y4iImvgZE8Fp/oAHQeyLaf6YLbqA9m3bt2SypUrG/0rXXMEBQWVclF+vXr1EgcHB5Ov74gRI2T79u0m14+Pjzc5oWqprKwsw/vv4b+qOnnypDg5Ocm6desKvY/k5GRxc3OzSp9I8bYPkQc/08yZM8XLy0u0Wq04Ojpa/QizsWPHytChQ43+8qnT6aR///6G00Ya06ZNG1m/fr1VG1XfTpo2bSparVZu3bpl1vI5OTkyYMAAadmypZw/f77MBx1EHvw14ZQpUyQqKkr27duX7zZjgw4ff/xxmXTt379fKlWqJM7OzjJgwADZu3evJCUlSdeuXeXAgQMFls/MzJSvvvpKfHx85O2337Za16RJk6Rv376SnZ1t+N6mTZsMF6GPioqSiIgIkxMDH374oVX/OESEA3TWoOIAncqDcyJqD9B9/fXX0qBBAzl27Fix1svJyZFvv/1WAgMDjZ5isDRxf1I6VN2XiKi/P+F2Yh0qbici6m4rqm8nIvbxuYuIyBo42VPBqT5Ax4Fsy6k+mG0PA9k9e/aUefPmlWjdBg0alG7MQw4ePCgODg4ycODAEq0/YcIEiYyMLN2o/y8lJcXw/uvWrZuMHDlSxo8fL5MmTZKpU6dK/fr1pUaNGoW+NxcvXiwRERFW6cvJyTH0XbhwoVjr3rhxQ/r161cmv4zGx8dLlSpVpGHDhjJv3jz58ccf5eeff5bZs2dL/fr1DafUnDt3rtH1v/vuO3n11Vet2iii9nYyZ84c0Wg0Rq9TUZgJEyZIjRo1bDLooHfhwgXp0qWL9O/f3zD5bmzQoSydPHlSmjRpYnhetFqteHt7i5OTkzz55JMyYMAA6d+/v7Rp08awL2nUqJGkpqZarenevXsSGRkp1atXl969e0vr1q0N13WpUqWK3Lp1S8aNGychISGyYsUKuXXrlqSnp8vJkyfl1VdfFQcHh0IHuEsDB+isQ8UBOlUH50TUH6AbPny4aLVaqVevnrzwwgvyzjvvyMcffyyLFy+WpUuXytKlS2XhwoXy4YcfysiRIyU6OtpwnaEaNWpYdMoec3B/UnpU3JeI2Mf+hNuJ9ai2nYioua3Yw3ZiD5+7iIisgZM9pPQAHQeyLWMPg9n2MJD9ww8/SFRUVInWTUlJKeWagpYsWSLVq1eX5s2by+rVq81aJzU1VSZOnCgajUZef/11q3RlZmbKBx98IHPnzpXPPvtMFi9eLIsXL5aFCxfK3LlzZfr06TJ+/HjZunWr0fXXrl0r/v7+Vrvulv6v0DUajTRu3FhGjhwps2fPlnPnzpl9H7t375ZGjRoVesHt0nD8+HGpVq1agWum6fu7d+9u8gi3lJQUmTVrllX7RNTeTjIzM+Xxxx8XjUYjnTp1ksWLF5t9sdb//Oc/hkFQW/rpp5+kSZMmMn78eJsPOog82L8sWLBA6tWrV+jpXl1cXGTkyJFmndbUUvHx8dK9e/d820bLli3l7NmzIvLgDwgGDx6cb7BEv+zIkSOt3ifCATprUm2ATsXBORH7GKBbsWKF1KxZM99po4196W93cHCQvn37Gj1iqbRxf1K6VNyXiNjH/oTbiXWptJ2IqLmt2MN2ovrnLiIia9CIiIAqtA0bNmD27Nk4cOBAsddNTU2Fp6enFar+Z+nSpZgxYwb8/Pzw9ttvo2/fvkWuk5aWhhkzZmD27Nl47bXXMH/+/FLvysrKwpw5c+Dq6go3NzdotVoAQG5uLjIyMpCWlobU1FQ8+eSTiI6OLrD+unXr8Oqrr2L48OH44IMPSr0PAG7fvo3AwEAAQKNGjfDEE08gPDwc3bt3R506dcy6jz179mD06NH4448/4OzsbJXOEydO4JlnnsGNGzfyfV//z1O3bt3w/fffG57jvFJTU7FgwQJMnDjRKm325Nq1a7h06RLatWtX6HKbNm3CxIkT0aJFC0RFRaFHjx4ICgoqo8qiiQg6d+6MatWqYdiwYXj00Uet8jjZ2dnYv39/ge/Xrl0bVatWtcpjWiItLQ1fffUVtmzZgqtXr8LR0RG1atVCnz590K9fP1vnKS8lJQV//fUX7t69i0uXLuHJJ59E3bp1zVp37dq1GDBgAJKTk+Hi4mLlUtNycnKwaNEivP/++wgICMDp06dt1pLXmTNncODAAVy8eBFJSUkQEQQEBKBx48Z4+umn4evrW6Y9CQkJiImJQXBwMKpXr17g9t27d2PNmjW4cuUKgoOD0adPH3Tu3LnM+lauXInp06fj0qVLAACNRmN0Of0+UKvVolevXliwYAECAgKs2paVlYUOHTrgwIEDiI6ORvfu3dG3b1+zXsP58+fjzTffhIggNzfXqp2F2bx5M959911ER0fjo48+QmRkpM22ldzcXCxevBgLFy7E2bNnTS7n7OyMl19+GbNmzYK3t7fVuxISEjBs2DBs3LjR8D5r0aIFVq5cibp160JE8PLLL2P58uX53p8ighEjRmDhwoVWbwSA/fv349ChQ7h48SLi4+ORmpqKrKwsODg4wMvLC6GhoWjSpAk6duyI0NDQMmkCLN+fDBw4EElJSdyfPES1fQlQ9P5k165dWLNmDa5evWqT/QkAHDhwAAcPHix32wk/d5mm2rbCz11ERGrhZA/ZjZIOZD/33HMIDg4uo8qi5R3IHjp0KFq0aGG1xzI1mF2nTh1UqVLFao9bEvqB7K1bt+LKlSt2P5B96dIlzJgxA7m5uViyZAkcHR1tnWSQm5sLBwcHpRuzs7Nx7do1ZfsAtV9jPZUad+/ejRMnTsDV1RXt27dHZGSkTTqSkpKwb98+nD17Fjdv3kRaWhpyc3Ph7u4OT09PhIWFoW7duoiKioKrq6thvcTExDL5hc+cvpCQEPj7+6NVq1ZW7ylpo7HnkH35cYDOelQcoFNtcA6wj4Fsc6m0vzNF35iQkIAffvhBicaUlBTExMTgkUceUf45VL0PUKtx165d+PPPP/m5qxT6+LnLvvv0VP3cRURU2jjZQ+WOfiBbZdnZ2XBycrJ1Bpnp7NmzWLp0Kc6dOwcHBwc0bdoU/fr1Q+3atQtdp379+tBoNMjOzjZ6VFJFamRf6Tc2a9YM/fr1Q61atZRovHz5Mg4fPozAwEC0bt3a8G9cWloaunfvjl27duVb/rnnnsPnn38Of39/qzXldfv2bfzrX//C119/jaysLMP3834MyvuXfi4uLujSpQvee+89NGnSRIm+vI1l3WdO48N/KcnnsGIqqwE6c+QdyCb7ofr+zlijap8b2Ff+G/m5y/p9eRv5uav4fXr83EVEVLY42UMW+fbbb9G/f39bZxRK9UbV+wD1G63ZN3/+fIwdOxY6nS7fB2utVovBgwdj7ty58PLyKrDejRs3UK1aNWg0Gqufzkb1RvaV/8bJkydj1qxZ0Ol0AICQkBAsW7YMTz31FCZNmmQ4VaWzszOqVauGlJQUxMfHIzIyEnv37jWcbtJakpOT0bZtW5w6dQoAEB4ejvr166Ny5crw9/eHs7MzHBwckJ6ejvv37+PGjRu4fPkyzpw5A51Oh08++QQjR46ssH320Kh6X2lRfX8MqN/IPsvxc5fajewr/4383FW+++yhUfW+0mIP+2QiogKseD0gqgBq165t64Qiqd6oep+I+o3W6tu3b5/hIpKurq7So0cPGT9+vAwePFgiIiJEo9FIZGSkXLhwocC68fHxZXKhatUb2Vf+G7/99lvDRVlDQkKkR48e0qZNG3F3d5dNmzZJnTp1xM/PT1atWiU6nc6wXkxMjAwfPlz+8Y9/WK1N77333hNXV1eZMmWKXLlyxez10tPT5ZtvvpHQ0FDZsWNHhe0TUb9R9b7Sovr+WET9RvZZjp+71G1kX/lv5Oeu8t8non6j6n2lxR72yURED+NkD1kkODjY1glFUr1R9T4R9Rut1de7d2/RaDTSqFEjiYmJKXD7li1bpH79+hIYGCh//PFHvtsSExPL5BdS1RvZV/4bW7VqJRqNRrp27SppaWmG7585c0aaN28uDg4OsnbtWpPrT5s2TTZs2GC1PhGRyMhIix7j0KFDVh0cUb1PRP1G1ftKi+r7YxH1G9lnOX7uUreRfeW/kZ+7LKd6n4j6jar3lRZ72CcTET2Mp3GrwFauXInvvvsOrq6ucHNzg6urK1xcXODk5FTg/K8AoNPpoNPpkJubi4yMDFy8eBH79u2z6iHqqjeq3mcPjSr3Va1aFbdu3cKBAwfQsmVLo8tkZWXhzTffxKpVq7Bx40a0a9cOwINzGAcGBlr9NA6qN7Kv/Dd6enoiIyMDN27cQHBwcL7bDh48iDZt2iA1NRXOzs5G109PT8fAgQPx3XffWaUPACIiInD58mWL7iMyMhJnz54tnaCHqN4HqN+oeh+g9v7OXhrZV74bVd/f2UMj+8p/Iz93WU71PkD9RtX7ALX3d0REVmXr2SaynXPnzolWqzUcpq7/KyRzv8riL6tUb1S9zx4aVe5zdnYWNzc3s5ZdsmSJ+Pj4yE8//SQiZffXh6o3ss9yqjd6eHhIWFiY0dt0Op34+fkVeR8tWrQo7ax8GjZsmO9UJsWVkpIi/v7+pViUn+p9Iuo3qt4novb+zl4a2Ve+G1Xf34mo38g+y6neyM9dllO9T0T9RtX7RNTe3xERWROP7KngunXrhkuXLuHRRx81ex2dToesrCycPn0ap06dsvpfOqjeqHofoH6jqn0hISFISEhAZmam0b/+ediOHTvQr18/LFiwAB07diyTvz5UvZF95b+xadOmiI2NxZ07d6DVagvcHhgYiJ9++gmPPfaY0fVFBIGBgUhMTLRKHwCMGDECtWrVwrhx44q9rohg0KBBuHz5Mvbu3WuFOvX7APUbVe/TU3V/l5fqjeyznKqNqu/v7KGRfeW/kZ+7LKd6H6B+o+p9eqru74iIrMo2c0ykiu3bt0u7du1KtG5GRobZf/VkCdUbVe8TUb9R1b4+ffqIVquV3bt3m73OsWPHJCQkRGbMmFEmfw2keiP7LKd648yZM0Wr1cr69euN3h4bG1vohVt37NghlStXtlaeiIhcvXpVgoODpVu3brJmzRq5cOGCZGZmmlw+Pj5eDhw4IHPmzJEGDRqIVquVjRs3Vtg+e2hUvU9P1f1dXqo3ss9yqjaqvr8TUb+RfZZTvZGfu8p/nz00qt6np+r+jojImjjZQ1KrVq0CF5c0V/Xq1Uu5xjjVG1XvE1G/UcW+Y8eOiYuLizRo0EAOHjxo9nqxsbFSt27dMvmFVPVG9llO9cb09HR55JFHpHLlyrJp06ZindIhLi5OIiMj5amnnrJan96JEyekXr16+U7P4O3tLZUrV5awsDAJCwuTwMBAcXNzy7eMo6OjzJ07t8L32UOj6n16Ku7vHqZ6I/ssp2Kj6vs7EfUb2Wc51Rv5uati9NlDo+p9eiru74iIrImTPSRTp06VZ599tkTr/vvf/y7lGuNUb1S9T0T9RlX7/vvf/0p0dLRERUVJ48aNZf/+/Watl5CQII899photVrJycmxWp89NLKv/DcmJSXJihUrZPDgwfLaa6+Z1fX++++Ln5+fBAcHy3fffWe1trwyMzNl+fLl0rFjR/H19TWcv9vYV1hYmAwdOlROnTpVJm320GcPjar3iai7v8tL9Ub2WU7VRtX3d/bQyL7y38jPXRWjzx4aVe8TUXd/R0RkLbxmD+Hvv//Gjh07MGDAAFunmKR6o+p9gPqNqveVRHp6Ot577z3Mnj0bjo6Ots4xSvVG9llOxcZ9+/bh9OnTePrppxEREWGzjsTERMTHxyM1NRVZWVlwcHCAl5cXQkND4evra7Mue+kD1G9Usc8e9neqN7LPcvbQWFwq7u8epnoj+yynYiM/d5WPPkD9RhX7yuP+joioMJzsISIiIiIiIiIiIiIismNaWwcQERERERERERERERFRyXGyh4iIiIiIiIiIiIiIyI5xsoeIiIiIiIiIiIiIiMiOcbKHiIiIqAiZmZk4duyYrTOUExcXhytXrtg6g0pARHD06FHk5OTYOoWIiIiIiIhKgaOtA4iIiIhUtHbtWhw9ehQnT57Enj17UL16dZw8edLWWaUuISEBaWlpiIiIKHLZ+Ph4fPfdd/jrr79w+PBhHD16FB999BHGjRtn/VCy2OHDh7F9+3b89ddf2LNnD+Li4nDv3j14eXmZfR+xsbHw9vaGv7+/FUvLv7i4OHh6ehbruSciIiIiIioMj+whIiIiMuLKlSsQEezfvx9paWlwdXW1dVKpu3LlCqKiorBjxw6zlr937x4SEhJw7949HDlyBCJSLp+X8iouLg4ZGRk4ffo04uLiAAAeHh7Fuo+dO3fiscces/iIrkmTJsHLywuDBg2y6H5K4u7du5gxYwaaNWsGLy8vuLu7o27dunj99dcRExNT6LqZmZmYN28emjdvjsDAQAQEBODxxx/H0qVLkZ2dXeRjnzx5Eq+88gqqV6+O48ePF7n89u3b0a1bN1SpUgU+Pj6oVq0aBg0ahLNnz5r74xIRERERUQWhERGxdQQRERGRqrp164aNGzfi8ccfx2+//Vbq95+SkgIPDw9otWX7NzhJSUlo1aoVWrdujSVLlhR7XT8/PwDAF198gaFDh1ojkSyQm5uL+/fvGz1yZP78+Rg9ejQcHBxKdBq3IUOGYN++ffj9998N74Pi8vLyQmpqKgAgMTGxzI4U+vPPP/Hss8+anKxycXHBihUr0Ldv3wK3xcfHo0uXLnB0dMTSpUtRr149XL9+HW+88Qa+//57PP3009iwYQPc3NzyrZeamor169fjyy+/xL59+wzf/+OPP9C8eXOjHbm5uRgxYgRWrFiBOXPmYMiQIfDw8MCRI0fw8ssv48yZM1i1ahV69+5twbNBRERERETlCY/sISIiIiqEfrDcwcGhVO83MTERU6dOtdnp4V588UVkZmbi008/Lfa6eScQSvt5Icvk5OTgiy++QKNGjbB06VKjy+iP5nF0LNkZnf/zn/8gKysLAwcOREn/buyNN96Ah4cHBg4cWKanhJs3bx6uXr2K4cOHY8+ePYiJicHBgwcxZswYaDQaZGZmYsCAATh37ly+9UQEL774Ii5duoRNmzahXr16AIDQ0FCsXr0aDRo0wPbt2/Huu+/mW++TTz5BYGAgFi5ciNdeew0LFy403PbwpFBeEydOxJdffokFCxZg1KhRhtesefPm2LZtG5ycnPDiiy/i1KlTpfXUEBERERGRneNkDxEREVEh9APipX3kzd69ezFt2jTcvn27zK9/smzZMvz888/48MMP4enpWez1804SlPURSVS4u3fvYvjw4Thz5ozJ95X+NSvpRJ2npydmzZqFn376yeSEUlHef/99pKamYvny5SVav6Tu3buHt956C4sXL0a7du1Qo0YNtGzZEp988glmzZoFAMjKyiowCfrTTz/hl19+Qb9+/RAQEJDvNkdHR7z55psAgM8//xy3b9823FarVi389NNPOHjwIPr16wd3d3fDbaZOgXjx4kXMmzcPwcHBGDJkSIHbg4OD8fLLLyMrKwtTpkwp2RNBRERERETlDn87JyIiIrIBFxcXw3/7+vqW2eMmJiZi3LhxqF27Nvr06VNmj0tlozjvK41GU+LH6devH2rVqoW3334bd+7cKfH9lLUrV65g4MCBRm8bN24cQkJCAABHjhzJd9uiRYsAAK1btza67j//+U8AwP379/HLL78Yvt+1a1c89dRTRtcxNdmzZs0a5Obm4tFHHzU5IdexY0cAwMaNG3H//n2jyxARERERUcXCyR4iIiIiG9AfXaHVag2naCoLCxcuRFJSEoYNG2bRYL+16XQ6ZGZmFnqasJycnBJdc6Y8y3uklbe3t9UeR6PRYNiwYUhKSsLHH39stccpba1bt0aDBg2M3ubo6IimTZsCeHAtLT2dTme41k7dunWNrlu1alUEBwcDAE6cOGFWi6nJnuPHjwMofLIuPDwcwINtQL88ERERERFVbJzsISIiIgJw4MAB9OnTB2FhYfDw8EDt2rXxyiuv4Pz580Wuu3fvXgwbNgwNGzaEh4cHfHx88Nhjj2HJkiUm19FPtHh4eOSbdHl48kJEsG7dOnTp0gWhoaFwdXVFjRo18NprryEmJqZYP2NGRgY+++wzAMBzzz1X5PLZ2dn4/PPPERUVhUqVKiEgIAAtW7bEtGnTilw3LS0NX331Fbp06YLw8HA4OzujSpUq6NOnT4HB8NjYWLRs2RIajcbw5eTkhMqVK+Ovv/4yLDdu3DgEBQUZlvH19cWKFSvM/vl1Oh3Onz+PVatWoWfPnpg6dSoA4KuvvkKzZs3g6emJ0NBQvP766/lOxXXs2DE8++yzqFy5Mjw9PdGuXTts3bq1yMfbtm0bevfujfDwcHh5ecHX1xctW7bEBx98gOTk5ALL37x5E9u2bcMbb7yBRx99FMCD12zs2LGoXr06XF1dUb16dbz55puIi4sz+ph530t5T9FX2KSYTqfDjBkzULduXbi5uSEkJASvvPIKLl68WOjPp38PLVy4EFlZWYUuq3f37l3s378fX375Jfr27Ws4kkYvNzcXZ86cwYoVK9CjRw/DacpOnTqF6OhoBAQEwMPDA61atcKSJUug0+nMely9oq5RpZ9crFWrluF7MTExhsmfoKAgk+vqJ2CuXr1qVouzs7PR79+9excA8r0HH5b3VIo3b9406/GIiIiIiKicEyIiIqIKLDY2Vvr37y+TJk2SuLg4ERG5efOmfPTRR+Lj4yMABIC0a9fO6PpDhw6V1q1by/HjxyUrK0vS09Nl8+bNUrNmTQEgw4YNy7f8mTNnZNiwYRIQECAARKPRiI+Pj/j4+Iibm5sMGTLEsOyVK1ekdevW8vTTT8vp06dFRCQ5OVnmz58vrq6u4u3tLTt37jT7Z92yZYsAkPDw8CKX3bBhg/zjH/+Q9evXS0ZGhuTm5soff/wh/fr1MzwnAGTZsmUF1r17964EBATItGnT5MaNGyIicuvWLZk2bZo4ODiIi4uL7N69u8B648aNM9zv6tWrjXbl5uaKj4+PREREyM2bN83+2RMTE6VZs2YSGhpqeIx33nlHpk2bJo6OjhIeHi7u7u6G2yIjIyU5OVl27NghHh4eUqVKFfH39y/yZxcRuX//vvTv31/8/Pzk22+/lYyMDBEROX36tPTs2VMASNWqVeXQoUOGdV5//XWpU6eOODk5GW5PSkqSNm3aiKurq0RERIiHh4fhsYODgyU2Njbfc/7OO+9I3bp1Dct4eXmJj4+PeHp6Ss2aNQ3LLlu2TACIh4eHZGRkSK9evcTNzU1q1KghXl5ehvU9PT3zNRoTFhYmAGTz5s1mvQ5Dhw6Vli1bGp5rPz8/w20JCQnyyCOPFHiNdu3aJd7e3uLn5yfh4eGi1WoNt/ft29esxzWHTqcz/Dxffvml4ft79uwxPF5KSorJ9bt27SoA5J///KfJZfTPfWH31adPHwEglSpVkpycHKPLrF+/3nA/q1atMvMnJCIiIiKi8oyTPURERFRhbd++XTw9PWX+/PlGb4+JiZGIiIhCJ3u6dOkie/fuLfD9v/76SzQajQCQY8eOFbhdP+hrauLl+vXrUrVqVQkODpbU1NQCt7///vuGSQH9ZEJRJkyYIACkR48eJpfR6XQyfPhw8fb2luvXrxtdZsmSJYafzdiER0JCgtSqVUtyc3NNNjRu3LjAbdevXxdHR0cBINOmTTP62OfPn7dogFun00lQUJAAkNDQUOnbt6/Ex8eLiEh6erqMGTPGMIgeHR0t9evXl4MHDxrW37x5s3h7ewsA8fX1laysrAL3/9RTTwkAo+8LnU4n3bp1M0x05J2wERF56623BID4+/tLVFSUfPHFF5KdnS0iIpmZmfLhhx8a+oYPH17g/mNjYw23P3zfevr3nqurq3Ts2FHmzJljeA9lZWXJ3Llz8z0HhXnuuecEgIwZM6bQ5R42ceJEw/v3YXlfo6ioKHn88cfl6NGjhtuvXbsm7dq1MzQeOHCgWI9tys6dOwWAhISESHp6uuH7eSdWMjMzTa6vn6R58sknTS5jzmTPnDlzDMt8/vnnRpfp3LmzYZkffvjBvB+QiIiIiIjKNZ7GjYiIiCqkpKQk9O/fH15eXhgxYoTRZWrUqIHo6OhC7+eTTz5B27ZtC3y/fv36hlNB7d27t9h906dPx99//40BAwYYvaZP3759AQB///13vgvCF2b//v0AgJo1a5pc5uuvv8bnn3+OV199tcAptvSGDBli8hRUAFCpUiVs37493/Vj9J599lkAwJ9//mk4XZVeSEgIunXrBgD4/vvvjd73N998g5o1a6J///4mH78wGo0Gbm5uAB6cqmv16tUIDAwE8OAaKp988gnq1asHANi+fTvWrVuHli1bGtbv3LkzJk2aBABITk4ucJq/L7/8Ejt37kRUVJTR94VGo8Gnn34KBwcH3LlzB++8806+2/Wv9e3btzFz5kwMHTrUcMouZ2dnTJgwAc888wwA4PDhwyV6DvQyMjLQt29fjBs3Di4uLgAAJycnjB07Ft27dzfrMWrUqAHgwetZHPrHc3BwKHBb3tcoOTkZO3bsMFxLBwBCQ0OxZs0aODk5mdVorunTp0Oj0eCrr77Kdz2djIwMw3/rH9MY/c9U2LZhjueffx5eXl4AgNGjR2Pp0qXIzc0F8OAUb6NHj873fFerVs2ixyMiIiIiovKBkz1ERERUIa1YsQK3b99G+/btjQ44myvvtT2AB9f8uHTpEjZt2mS4noix67MURqfTYc2aNQD+N5j+sIiICMN/nz171qz7/fvvvwE8uJi8KR9//DEA4KmnnjLrPo1xcHBA9erV830vIyMDR44cwcGDBw3fM/a8jBw5EsCDyYPTp0/nu01EsHLlSowdO9boRFJxRUVFGf1+mzZtAACVK1c2TPzk1bp1a8N/Pzxh9dVXXwEAWrVqZfJxw8PD0a5dOwDAhg0b8k0m6FWuXBkdOnQwur5+3eK+r4zp16+f0e/rn4OiHkM/IXjhwoUSPX5Rr2P37t0NEz95BQcHo27dumY1muOTTz7B3r17MXPmTHTq1CnfbXmvd5SZmWnyPrKzswHA6ORscVSpUgVLliyBk5MTMjMz8fLLL8PHxwc1atRAYGAgLl26hDfeeAPAg4mlyMhIix6PiIiIiIjKB072EBERUYW0fft2AKXzV/HXrl3DnDlzEB0djdDQULzyyivYs2cPNBoNgP9d9N1cFy5cMEwijB49Gj4+PvD19c33FRAQAC8vL1SrVg3BwcFm3e+dO3cAmB6MvnXrFk6cOAGgdJ6XX3/9FW+++SaaNm2KevXqYfbs2bh+/brhdmPPy5NPPmkYxF++fHmB+0tJScHgwYMLrNewYUNoNBqjX9OnTzfapz8S42H+/v4ATB+h4efnZ/hv/QC//r//+OOPfPdhin6iKT09HZcvXza7DQB8fHwAwHC0hyVMvRe8vb0BwDBhaYq7uzuAgpNepaUsnoe9e/di/PjxePPNNzFx4sQCt+c9yuf+/fsm7yc9PR1A/vdHSfXu3Rv79+9Hz549UblyZeh0Ovj5+eGzzz7Dpk2bcPLkSQAPJv4snVwiIiIiIqLygZM9REREVCFduXIFAAwTMqbk/at+Y959913UqFED33//PcaMGYPLly9j165dmDt3rsnToBXl9u3bhv/+8ssvcffuXSQnJ+f7unv3Lu7du4erV6/ipZdeMut+7927B8D4qbMA4OrVq4b/tuR5uXnzJh577DG0b98eAPDf//4XsbGx+O677zBq1KgiO4cMGQLgwdFXeSdTli9fjpEjRxY40uPcuXP466+/TN7fCy+8UORj5lXUabjy3p53wioxMdHw/6mpqYXeR96jqwo7WsQY/WndrMncx9AvV9gkiLWUxvNw+vRp9OjRA6+88orhqLaH5Z24y7ttPky/fdWuXdusxy5qEvjRRx/FunXrEBcXh/v37+OPP/7AK6+8gpycHGzevBkATJ6CkoiIiIiIKh5O9hAREVGFpD99VExMTKHLpaWlmbxt9erVmDlzJkJDQ7F9+3Z07ty50Gt6mKtSpUqG/46Pj7f4/vT0kyTGThsG5D+lVmHPS1ZWVqFHUwwaNAiHDh3C2LFjMW/ePKOnQivMwIED4ejoiPj4eGzatAnAg4H0jRs3Gk7zllfdunUhIia/CrtGUUmYmgjz9/c33KY/ZZ4peSeMSjopqAL9e8kejy65evUqoqOj0atXLyxcuNDkcnnfP5cuXTK5nP4IrcaNG5v1+EVNJJuybNkyJCYmonnz5oZrKxEREREREXGyh4iIiCok/QDujh07Cj0q4dSpUyZvW7ZsGQAgOjracEF1c+kHeo2dJis8PNxw1IL+tGClISAgAMD/jkB4WPXq1Q2TFT/++KPJ+9GfQsqYuLg4bNu2DQDQq1evEnUGBwejS5cuAB4c2QQAq1atQrdu3cw+ZZ0tODs7o1GjRgCA/fv3F7psQkICAKBJkyaG16U05J1AKOoUbKVBf/q2ok5bp5qbN2/iqaeeQqdOnbB48eJCj2QLDw83HIl15swZo8tkZWXh2rVrcHd3N1xTqSglOf1cfHw8pkyZAhcXFyxbtqzII/CIiIiIiKji4GQPERERVUj6i7AnJydj0qRJRpfZtGlToZM9+r/kz3tND70DBw7gyJEjJtfVn7pLf52PvNzd3Q1/sb9p06ZCTx1VHPpr4cTFxRm93c/PDy1btgTw4BRqpvpnzpxp8jHyXn/G2PMyf/58s1pffvllAA+urRQbG4tFixZhzJgxZq1rbUUd1QQAFy9exK+//mpyud9++w0A8NZbb5Xq4+c9JZyx91ZpPEZe+veS/r1Vlkp6rZ47d+6gY8eOaNOmDb744guzJkyee+45ADBMZD5s//79yMnJwfPPP2/0fW+subhH9qSnp6Nfv36Ij4/HN998Y5hYJCIiIiIiAjjZQ0RERBXUwIEDER4eDgD4+OOP8cYbb+DOnTsAHhwRsXbtWsyaNQsdOnQweR/6oxm+++47xMbGAnhwWqv58+dj2rRpCA0NNbmu/iLuiYmJ+L//+z8AD657oj/916RJk+Du7o709HQMGTIk37Vr8oqLizP7CI7mzZsDeDARYcrkyZMBPDhSoVOnTvj+++8NA9RJSUkYMWIEqlSpYnL9vEd4zJs3D1lZWQAeXCOpb9++hiNBitK5c2dUqVIFOp0OL730Enx8fNCkSROz1i2K/loppq6ZUtTteV+Lh5cZNWqUYcJs9OjRSElJKbD+kSNHsG3bNvTt27fA9YT091fYa6p/fGN9+vcVAKxfv96wXN7Tj+W9b1OPU9jPmNf58+cBPLi+THEU9XNa+jyYkpKSgk6dOsHf3x9vvfUWzp07h7Nnzxq+/vrrLxw/fhy//fYbdu3aZVjvrbfegoeHB7Zv345jx44VuN9FixbBx8fH5MSxXt4JuOJc5+jWrVvo1KkTfv/9d3z77bfo2bOn2esSEREREVHFwMkeIiIiqpDc3Nywfv16BAYGAgA+/fRTBAcHo3r16vDz88Pnn3+OLVu2ICwsDIDxC7Prj+KIi4tD7dq1ER4eDj8/Pxw/fhwbN26Ej48PAOODuq1bt4aLiwsAoH379oiIiEB4eDjOnTsH4MF1P9asWQNfX19s3LgR7du3x+7duw0TLxcvXsRbb72FAQMGmH0qp44dOwIAjh8/bnKZzp07Y/r06QAeTET16tUL/v7+qF69OqpUqYL69etjwYIFhuUTExPzrV+nTh08/vjjAICVK1fC398fYWFhaNSoEZ5//vl8R7IUNtjt4OCAl156CcCDo2CMXaunJJKTkw2v5dWrV40uo58YuXPnjtFrNuX93unTp/Pd5ujoiC1btqB9+/Y4ceIE2rVrh927dyMrKws5OTlYv349OnfujGHDhmHlypUFXjv9tZLu3LmD1NRUo336x4+Pjy/wvqxSpYrhGkmTJ09GSEgI/P39sXbt2gI/HwBcu3at0McAgLNnzxpdBgBOnDgB4H/vLXNduXIFgPGf05zXKG/juXPnzJrwTE9PR9euXXH48GHs3bsXDRo0QL169fJ9NWzYEE2bNsUTTzyBIUOGGNaNiIjAqlWr4OzsjK5du2Lz5s3Izs5GcnIyJkyYgC1btmDdunWGfy+MSU1NxS+//GL4f/3RXYXJyMjA4sWLUb9+faSkpOC3335Dnz59ilyPiIiIiIgqICEiIiKqwP7++28ZO3as1K1bV1xdXcXPz09GjBghmZmZIiIyePBgASAApH79+tKzZ0/Jzs42rL9w4UKJjIwUZ2dnCQsLk08++cRwW+vWrQWAuLu7S8eOHeXYsWP5HnvDhg3SsGFDcXNzk/r168uvv/5aoC8uLk7effddadq0qfj4+IiXl5c0adJE+vXrJxs2bBCdTmf2z5qTkyMhISECQM6dO1fosrt375auXbtK1apVxdnZWWrXri3r1q0z3K7RaASAuLi4SLt27eQ///mP4baEhAQZNGiQBAQEiIuLi7Rq1UqOHz8uIiIXLlwwPJ8REREyYMAAkw0nT54UABIUFGR4PUoqNTVV/Pz8RKvVGh4fgHh6ekr//v1FRGTAgAHi7Oyc73YXFxfx9fWVe/fuGe5r165d+ZZxc3OTH374Id/j5eTkyLfffisdOnSQ4OBg8fDwkFq1asnAgQPl0KFDBfqGDBli8rGTkpLyLTtp0iTDMhqNRvz9/fPdfurUKenQoYN4eXlJlSpVZOHChSIiMnXqVHFzc8v3GE5OTuLj4yMXL140+Rj65ykhISHfMvrXJzQ0VHJycsx6HQYNGiTe3t4Ffk4fHx+5fPlyka9RXtWqVcv3c4wZM6bQx37zzTfz3W9RX1WrVi1wHydPnpQXXnhBqlatKh4eHhIWFiZDhw6VmJgYk487atQo8fLyMvoY7u7u4uPjIwcPHsy3zu+//y6vvvqqBAUFSZMmTWTJkiVmP8dERERERFQxaUSKcd4DIiIiIjJbeno6HBwc4OzsbOsUg6lTp2LatGmYNWsWJk6caJOGlJQUeHh4QKst+iDzZs2aoVOnToVeJ4hsY/r06ZgyZQqmTJmCqVOn2jqnSBkZGdBoNHBycir0vSciyM3NRXZ2Ntzc3Mqw8H9u3bqFHTt2oEWLFqhTp45NGoiIiIiIyL5wsoeIiIioAklKSkKNGjXg5+eH8+fPw8HBwdZJJuXm5qJWrVrYs2eP4fpKpIacnBzUqlULycnJiI2NRaVKlWydREREREREVKHxmj1EREREFUilSpUwdepUXLp0CStXrrR1TqE2bdqExo0bc6JHQcuWLcOVK1cwbdo0TvQQEREREREpgEf2EBEREVUwIoInn3wSZ8+exZkzZ+Dr62vrJKPatm2L9957D08//bStUyiPpKQk1KtXD5GRkdi1a5dZp+MjIiIiIiIi6+JvZkREREQVjEajwZo1a+Dm5oZRo0bZOseonTt3IiUlhRM9Cnr99dfh7u6OtWvXcqKHiIiIiIhIEfztjIiIiKgCCgoKwrZt2/Drr79i+fLlts7B33//jS1btgAALl++jKFDh+K9996zcRU9bOnSpfjtt9+wfft2BAYG2jqHiIiIiIiI/j+exo2IiIioArt+/TpEBNWqVbNpx5w5c/D2228jPDwcN27cwNNPP43NmzfbtIkKunr1KrRaLUJDQ22dQkRERERERHk42jqAiIiIiGxHlUH7+Ph4eHh4IDMzE6NGjcLMmTNtnURGhIWF2TqBiIiIiIiIjOCRPURERERERERERERERHaM1+whIiIiIiIiIiIiIiKyY5zsISIiIiIiIiIiIiIismOc7CEiIiIiIiIiIiIiIrJjnOwhIiIiIiIiIiIiIiKyY5zsISIiIiIiIiIiIiIismOc7CEiIiIiIiIiIiIiIrJjnOwhIiIiIiIiIiIiIiKyY5zsISIiIiIiIiIiIiIismP/D8gViUuWqg5EAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1600x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "cell_labels = [0] + cell_list\n",
    "\n",
    "#fig, ax1 = plt.subplots(figsize=(16,6))\n",
    "fig = plt.figure(figsize=[16, 6])\n",
    "\n",
    "ax1 = fig.add_subplot(111)\n",
    "ax1.margins(x=0)\n",
    "ax2 = ax1.twinx()\n",
    "ax2.margins(x=0)\n",
    "ax1.get_shared_x_axes().join(ax1, ax2)\n",
    "\n",
    "ax1.xaxis.set_major_locator(ticker.MultipleLocator(2))\n",
    "ax1.xaxis.set_minor_locator(ticker.MultipleLocator(1))\n",
    "\n",
    "ax1.set_xticklabels(date_labels, rotation='vertical', fontsize=18, fontname='Palatino Linotype')\n",
    "\n",
    "#ax1.set_ylabel('VIIRSaf count') \n",
    "#ax1.bar(viirs_doy.index, viirs_doy['counts'], color='lightgray')\n",
    "\n",
    "#ax1.plot(pollution_doy.index, pollution_doy)\n",
    "ax1.bar(pollution_doy.index, pollution_doy, color='lightgray')\n",
    "ax1.set_ylabel('PM 2.5 (μg/$m^3$)', fontsize=20, fontname='Palatino Linotype') \n",
    "\n",
    "ax1.set_xlabel('date (day-month) in 2019', fontsize=20, fontname='Palatino Linotype')\n",
    "ax1.yaxis.set_tick_params(labelsize=18)\n",
    "\n",
    "\n",
    "for column in planet_obs_unmasked_dos:\n",
    "    #plt.scatter(planet_clear1.index, planet_clear1[column], s=60, facecolors='none', edgecolors='goldenrod', marker=\"o\")\n",
    "    ax2.scatter(planet_clear1.index, planet_clear1[column], s=30, color='goldenrod', marker=\"o\")\n",
    "for column in planet_cloudy:\n",
    "    ax2.scatter(planet_cloudy.index, planet_cloudy[column],color='goldenrod', s=150, marker=\"_\")\n",
    "for column in sentinel_obs_unmasked_dos:\n",
    "    ax2.scatter(sentinel_clear1.index, sentinel_clear1[column], s=80, facecolors='none', edgecolors='royalblue', marker=\"o\")\n",
    "     #plt.scatter(sentinel_clear1.index, sentinel_clear1[column], s=10, color ='royalblue', marker=\"o\")\n",
    "    #plt.scatter(sentinel_clear1.index, sentinel_clear1[column], s=10, color ='royalblue', marker=\"o\", label='_')\n",
    "for column in sentinel_cloudy:\n",
    "    ax2.scatter(sentinel_cloudy.index, sentinel_cloudy[column], s=150, color='royalblue', marker=\"_\")\n",
    "\n",
    "for column in landsat_obs_unmasked_dos:\n",
    "    ax2.scatter(landsat_clear1.index, landsat_clear1[column], s=80, facecolors='none', edgecolors='forestgreen')\n",
    "    #plt.scatter(landsat_clear1.index, landsat_clear1[column], s=10, color ='forestgreen', marker=\"o\")\n",
    "for column in landsat_cloudy:\n",
    "    ax2.scatter(landsat_cloudy.index, landsat_cloudy[column], s=150, color='forestgreen', marker=\"_\")\n",
    "\n",
    "ax2.yaxis.set_major_locator(ticker.MultipleLocator(1))\n",
    "ax2.set_yticklabels(cell_labels, fontsize=18, fontname='Palatino Linotype')\n",
    "ax2.set_ylabel('gridcell', fontsize=22, fontname='Palatino Linotype')\n",
    "\n",
    "PM25 = mpatches.Patch(color='lightgray', label='PM 2.5')    \n",
    "\n",
    "clear_obs = mlines.Line2D([],[], markeredgecolor='none', color='none', label='clear obs')\n",
    "sentinel_obs = mlines.Line2D([],[], markeredgecolor='royalblue', color='none', marker=\"o\", markersize=8, label='Sentinel-2')\n",
    "landsat_obs = mlines.Line2D([],[], markeredgecolor='forestgreen', color='none', marker=\"o\", markersize=8, label='Landsat')\n",
    "planet_obs = mlines.Line2D([],[], color='goldenrod', marker=\"o\", markersize=6, linewidth=0, label='PlanetScope')\n",
    "space = mlines.Line2D([],[], markeredgecolor='none', color='none', label='')\n",
    "obscured_obs = mlines.Line2D([],[], markeredgecolor='none', color='none', label='obscured obs')\n",
    "planet_miss = mlines.Line2D([],[], color='goldenrod', marker=\"_\", markersize=8, linewidth=0, label='PlanetScope')\n",
    "landsat_miss = mlines.Line2D([],[], color='forestgreen', marker=\"_\", markersize=8, linewidth=0, label='Landsat')\n",
    "sentinel_miss = mlines.Line2D([],[], color='royalblue', marker=\"_\", markersize=8,linewidth=0, label='Sentinel-2')\n",
    "\n",
    "plt.ylim(.5,7.5)\n",
    "ax1.legend(handles=[clear_obs,planet_obs,sentinel_obs,landsat_obs,space,obscured_obs,planet_miss,sentinel_miss,landsat_miss,space,PM25], \n",
    "           loc='upper right', bbox_to_anchor=(1.25, 1), fontsize=\"16\", frameon=False)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "af911447",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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