GoogleTrends_API_sort.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Google Trends API using Python 3.7\n",
    "\n",
    "\n",
    "Error in python 3.7 package:\n",
    "\n",
    "from pandas.io.json import json_normalize ModuleNotFoundError: No module named 'pandas.io'; 'pandas' is not a package\n",
    "\n",
    "Solution:https://stackoverflow.com/questions/57218531/modulenotfounderror-no-module-named-pandas-io-for-json-normalize\n",
    "\n",
    "+ Go to ...\\Lib\\site-packages\\pytrends on your local disk and open file request.py\n",
    "+ Change: *from **pandas.io.json._normalize** import nested_to_record* to **from pandas.io.json.normalize** import nested_to_record*\n",
    "\n",
    "For documentation:\n",
    "\n",
    "https://pypi.org/project/pytrends/#interest-by-region\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>coronavirus</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>geoName</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Italy</th>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Singapore</th>\n",
       "      <td>49</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Switzerland</th>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ireland</th>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Spain</th>\n",
       "      <td>42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>France</th>\n",
       "      <td>40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Germany</th>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Austria</th>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>New Zealand</th>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>United Kingdom</th>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                coronavirus\n",
       "geoName                    \n",
       "Italy                   100\n",
       "Singapore                49\n",
       "Switzerland              45\n",
       "Ireland                  43\n",
       "Spain                    42\n",
       "France                   40\n",
       "Germany                  33\n",
       "Austria                  31\n",
       "New Zealand              30\n",
       "United Kingdom           30"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "from pytrends.request import TrendReq\n",
    "wlist='coronavirus'\n",
    "pytrend=TrendReq()\n",
    "pytrend.build_payload(kw_list=[wlist])\n",
    "# Interest by Region\n",
    "df = pytrend.interest_by_region()\n",
    "df.head(10)\n",
    "tlist=df.sort_values(wlist,ascending=False).head(n=10)\n",
    "tlist"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "tlist.reset_index().plot(x='geoName', y=wlist, figsize=(15, 10), kind ='bar');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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2hz3HnJ62fuMzPm3hsVVtxRnDv/8jyR03v25T7GnDv09J8jvrYjeWnbQvCA33j9yc85L1u99txXKfl/aN07OG+z+Z5IMHuk+n7ZMXXrh/4bRf+1j3GT86ycNHfBY97cqpaQW+l0/rN7wu7Zebl8W+P63wfXFdf3Sbdb3x70aB6Lr39/Akf7jNdvG2tMm5s5LcPK0tf9qaz2K3+i2PSPLRtInYJw7b1sPX5PHOjD8+jcp5YzvctD5OX5XD8PwpaRMFG/f/KO0ExmLMe4Z/v5V2jN64rTtWj+oTLctvXc5pnf3zrntPm7ejEY+9Y3gvb08bSLw+yevXLPc9SW6d1k5cKW3y6wlr4nv6ZtseR7Kz49O223KSf0ybALroktdfP8l/z3DcXHh8VBuejmPZkvc1pl0e1S9Lm0C7ePYdT26ZdoJl2TJ7x0QfHf59YZJfX7ctp+13T0vyW2kTSHdOcuedbhOb4nvGffdP8t60tvxBSY5es9yesctzk9xg5H56uySfSHLucP962bT/ZV+//I1pbcprh9vXkvz9iuWObuuH+DcP62Oj/3tUkjNXxP5uWj/rs9m+f9pzzOlZHz3Hp4196swhlx9u81mMaS+esGndLN62jJ/S2Ycbnh815ktrf145bEu3S/LyIf/nJnnZkviXp7XHT0+b8F72t3eyzfWsk9H76RDf02a8MO049fDh9q4k/1/a8efeQ8zm4/l+tyXL/ESS843Yn5e28Vkxbhle854kH0jykCw5/mzajsfO45yddjLxUmlt/sWTXHxE/jdL8r/S9teXJvnpTc9/atU2s2aZo+cCMqK9SHK74d97L7utyeM6acezz2Vfv/PaK2KX9ZVWHX97ts2eMUbPsezGaX2YT2bfHMK64+RT0vp89x1u/5jkKStib5jkg0n+LckP0ia/V/V9e9qA3Zr7PTELfdnh9rK09vP8S+Jfm+QJSa4y3B6f1W3ctn3w7KyP2vMZb3tcOIB9ZOyYfWNe9B5JnpXkPKve20Y+2aafs8N13TM/e3Ja0cSYMXvvmLZn/fXE9rRZj8/4ObBt31+SX0o7KfWFtCKAjdsJqz7j4XW3GPI9Oe3Ye26Sm+1knQzPPy7tpP8RC49fLK2dfW2Sey5Zbk/beeeF2z3S+vnP3hSzqr+w3Rz/2D7ctnM5aePtK6X1254+bBvXSTtx/ydrcug5R/OKtJOQK9u3hdjeMcYDhu3+08P9q6UVDmyOe2JaX+jCafNED84wF7YkdvQ4dfgMzp99bcaxSV61IrZ3znXbPvVCbO95orekFXr9Ydr++Kgkj9rptrwQe6O08eznh/vHpX1BelnsqP1p4XPbmBs5z6ptbXj+l4dt7tPDdnzsNp/dSVk4LmV9/2LsvjdqTjkdczNrYpf2AdLmZi61cP+SWd/Gjt5Pe/fV9M119Cy357xdT5t1RpILLty/4Jrlbrt9ZvmYfuO29NzoDj63jTHcr6b1T4/L8jHH6WlFLIvHx6XzMsNzPX2c0WO5dPRZhvix511HnwfrySMdbf2m7eL+2Te3s2ob6jnmrD0HsSR+1LEhneerN732lmlj/K8P28svbXp+9HmldIwDdutzS2s7Hzxs99ffuK2IHXUefCG+Z2w/qn8zPNc1P5MRfYDsbM6uZ8ww+hxbWrv18LQ+xi9u3FbEfiJLxuUrYs9McoGF7e5aaT+atiy2p/ai59x913m7TXE/meQf1jz/wbQf0jpt2JcekPYl5mWxZ2TrefNV+97o5S685si0cfX/Sju2Py6b5ifTjiHXWbechdjR54iG535x4XbzJM9O8oxt1t+Y8+a9NQQ9x/WeeY6enFfOrazaFjN+bmbU/PMQ+7S08z5vSptnO3HZ+1t47sS0ucVvZM04YOF1a+efh5ievmHPuaqe41PPudSzszB3MeIz6Jkf2jgmbOxbP24bD3S73/L6sYGH4pbWOSkjY0cPShdixhTrfGgxdvj/KWvy6Nloejpho4sy0ncS6QPDv6emTcSUrB7c9Xa4eyZjet5fz7ruie068bXxOaWd+Pq1jfV/kJbdM3Ab3eFN3yDo4x35nj5sO4udq1XLHd2Z38F+8qmMOAnas2307CM923IOoJPZsV6OyL4O3jlpHZw7bIo5Oclj0k4sXibtwLhlAiLJZYd/r7TsdoCfxbIJs9Edom0+g572sOeY09PWv3/4XDf21UtmdUfwJcM2f07aieQLZ3UR9RuSvCBtEuaiad8YXDep+Iy0iZtbp33D8e+SPHNTzMY6HX0SIh2Dq+G5Uft0WsfqfAv3z5fk7DWf8W+nnfS68vDY0omxnhw2vb8xHfn3j/0sFmLfl1bUd74k56yIPS3thN37klxrY9teEXvq5n0oK75MsoNtuedzGz1xu/iZZdzxaVTOacXIF19Yhzdc91kMMZcYPuebJnly2iTLeda9ZswtI/tEaUVyP7dw//ppv4qwarkvSBtQPC4LJ3I3xdwmrQDjX9MG2hu3v8pwjNsUf/NltzU5bGxzZy489u4R63pM32zb40h2dnzqKrDvWM+j2/COZe6kXR7VL8u+cc5HMgxkl20Tm2LHjomekdYmf2RYx5fI0O4ty7fj8+gtVB897lt4zdWHz/dzaQWYW7581ZNHWv/rh2nH6+0Khja+ET6mT/2Gje1/Y1/I6gnh0W398HzPpPA5SS4xcv115dGxPna8T6f98tQL1jzfc+y78sjHuvpww2vGftnvXasey+px/kXSJtXel+Sf037V6MIr8h67zXX1GTb9u3Y/XbUtrog9KQvH8bT26KQVsaOKVNIK6y80NofeW9rk9FPSxravTPJflsT0zOMsbXtXxB6ZVgDwurT+5yPTxk93yfBllIXYpV8U3mb5PSf2evqodx3z2MJzp2ShLUkrcDtlU8yD09rrb2f/go9zk7z8IGyb3ScLxuwj6T8ReUb2L8Q7MquPOz0T6j1twG7N/fZ+kWL0HE3G9cF30kft+Yy7Tn733Mauv7Tin/OkzTPcfHhs3VxATz+nZ133zM/29HF6x7Q9668ndts2a+G5njmwbd/fsP4fn+RL2f8LMI9M+1W1det67A8ErF0nGTEeXxaTHYwDFl57xKrtrfc2dl9Nx1xOln8pdOVxOX3naEZ/kTj9Y4xRRXBZ0ndZ9tjw+Ohx6sK2dnqG+cas3v930l8f26fuPU+0cn7zQLbl7MKPH2RfH/VdaYU6l8iaLzAtvO7otC+LfiGtzbvPiv36+gu3G6cVRjx9xTLH7nuj5pTTMTeTFcf+rOgDbN4PhvW2rkC09wv/Pf3qnrmOnuX2nLfrabPOzELh2fC6VXPmO9o+R+bc87mN/dGB/c4zpH2he10/pKePM3osl/4fEhh73vUl6ZhDHZtHOtr6hW3oskMuN1jMfVkOm5/P6mPOkzIUyY38nEcdG9J/vvriaV+c+FBaYemdhm3p5zMUuS3E9vRFRo8DdutzW7e9LIndOA9+TtacB1+I7xnbjy7yT8f8zBA/ug+Qvjm7njHDW5JcOfuOq7+ZbX7gaWS+b0nyEyNjF/fr8w7/XzV/0jOu7zl3/74sFNunnWt838j8j8rww1srnl92fm3deO+8C/fPu2Z7G73c4blrpp3TOTvti903TvthpQ9vius5how+R7RmGavaoZ7z5r01BD3H9a55jo6cn5bkV0Z+Rl1zM8Pz284/D3GjfkBjyeuukNUF/qPnnxe2+7F9w55zVT3Hp55zqa/NwpcCx+SRjrmkjW1p4bGVdSg92/3m249/rnkiPpp2AP/SiNiNy119ffh5/S+n/ezyMt8d/v1OKeVySf5P2kFvme8Ml9Y6fbj02ZfSJtJW5lFr/T+llCNKKUfUWk8q7VKWy1y81vqiUsojaq0nJzm5lHLyitgL1FrfXkoptV1O54RSyrvTJuu2vL/aLnf4w+FnuL+S9msZy3yolHLRtMnVU9Mq2fyeM+UAACAASURBVFddXv57tdbvlVJSSjlfrfXsUsrVV8T2xve8v5513RP7r7XWs9a8n81OLKWcnbY9PWS4dMX3VsT2Lrsn/lullMek/SreTYdL/pxnRexRpZTLpn1L7r9us9x/LqVcs9b68RE5/KDWWkspNcnGZTdX+WGt9Xlrnt+sZz/5Qto3WMYYu2307CPJ+G35rFLKX6advKppl+RYus5LKccO+8/PLXu+1vrhTfHXTDuo3D6tcO6OtdYPlFKukNbZ+YeF8LulXZ7pfrXWL5d2+eYtly6otX5p+Pdzyy67coCfxYdKKS9K+/WfDJ/FqSs+i2ev+FsbeW6+1GZPe9h1zOlo65+d1vm5VCnlyWkdnz9eEXu/tG+jfabW+p1SysXT1uUyv5Xk15L8Wa3168O+/eg1Of9R2gT2g9MmFN6WdjmsHxvWU0opN6613njhqeNLKe9NK6jY7N+Hdmdj/79kFi6bscTYffplST5QSnndsOw7pv26xTL3SZtgfnKt9dxSypXT9q0DzWF4S+WX0r6pd7/hsVXb/BdKu8xuHfoOv5cV+3WSNwxtyzOSfHh4j3+5Ivb30yY2Xldr/Vgp5SpphTDLbLRtXyrtMoL/knZprlV2q99SsnA5qeH/ZU0ePcensTk/Mm3y/KrD9nvJtP1vpVrrV4dLjvxTWjt0lzr0pjcrpbys1nqv7R4bjO0T/X6SV5dS/mW4f9m0dnqVfxluR6RNsK6K+VDaMWGxbf1W2qWB9lNrPbmUcum0Sz4lbfDzlTU5fK+0SyWeU0p5WNqXVS61Jr6nb7btcWTx+LTmb242elsuIy9vORjVhpf1l42uab8I8PJa66d32C6P7Zd9vZRyobSTJq8opXwlrcB1ma4xUa310aWUZyT5Wq31h6WU76VNTi/zhlLKr9da37RqeQt6xgxJ37hv49KZxw63r6ZNBDyylPK7tda77zCP24x4Xxt+WGv9RinrmssfO2Zj+x/8a/ZdDnqznrY+Sb49bL8b29ANs7qP/ekk3xmTcG8eHeuj5/i0n1rrh0u7dNsqPct+bVobseg1aSe2F/X24ZJ9Y757JrnZmjHfJUspV6zDJV+Hvv0lhud+sGzBtdZvlnaZ4AukHYfumOTRpZRn1/0v8dqzzfV8bl37afrajMulHR83Lkd2oeGxZX617n/56eeVUt6fVhiw6DtpbeHb0y6XnmTpOCRJ3yVjh+WcU0r547Rj97OTbFwK8rF13yUme8aoJw3t8d9vyvfDS2LPSetjPqPWesrC468pWy8596FSyquS/M9Ny113+d6euYCe9uIxaZPj2z224YK11h/3pWut71xyrHxlWpH4U5Icv/D4t+qSy9sNerbNnjFGzz7yjVrrm0f8/UUXzb595Oh1gbXWT5VSjqy1/ijJS0q7lOwyPW3Abs39/mytdXG7PbGU8q5a681KKR9bEv/dUspNaq3vSX7cB/zukrhkRB98ob28ddqX6s5Z9aY2vW7sZ7ztXGAp5cQsucznwt+6/Yqnxq6/F6T9istHkryrtLmib655ez39nJ513TM/+9VSylWzr49zl6ze9nrHtD3rryd2TJu1oWcObNv3t7D+/6pzvHWeunCZ1lrrJ0spq+aq166TWuu/LwaXUi6V/S9P+vnNMYPe/sWiqyW54rqAZXmsCB3bh+uZy7ngpvbqRll/vqrnHM2WS9+u0TvG+H6t9QcbbUAp5agsb6N+VEq5R9ovxtW0k50/WhKX9I1Tvzj0n/5nkn8spfzftM95me7+ekefuvc80SmllOvUWs/seM2GtdtyrfULm9rkVZ/z2P3phaVdRvhxafNxF0or3F1pGHfeM+14dlrar+neJO2XSm+xKd/N5wveu6Z/Mfac2ag55Z65mc72MkneUkp5a5K/Ge7fLa0fukrPfpr07atd52k7lttz3q6nzXpJkveXdv4gaQVtL1oR27V9Dm3xtbJ/W79sDi7p+9xOLaW8LW0fekxpl+tedi7l5FLKY5NcoJTyX9K+5HriqnzT18fpGsv19G8yvg/Xcx6sJ4+etj5p++5b064w+MHSzrus6rf3HHMekeSxpZTvp30mpb2FrZc/H4w9NvSer/7ntPNsv1lr/eKm5Tx/U2xPX6RnHLBbn9uJpZSHpJ17XdyOl43XN86D37euOQ++oGdsP7Z/k/TNzyR9fYCeObueMcPD0trVY0spn0tbf3dfEfsPpZQHZus6WbZtfCvJaaWUf9oU+8glsV8atvsTk7y1lPK14f0tM7r2IsvP3T9uRexDkryslHK+tO3yO0n+n2WBZd857aTNGVwrrU1a5dvDPvKRUsqfpn3GF1oR+8q07eI1w/07Z/W58NHLLW3+87tpXxr+k1rrRt/vvaXNjSz6YCnlFdl6DHn95uV2niPKsD1uOCJtTv2yK8J7zpv31hD0HNd75jl6cn5fkteVdu51u/awd25m7Pxz0n5t+TxZWNcjfTHti1rL9Mw/J319w55zVT3Hp55zqUentUXvy/77yMptv6Ov9YPSarM2+ntXzep107vd72dqhcOXSPLxUsoHsv+Humxis6fT31Osc6+0hulhacUVV0hrhFfp2Wh6OmE9RRmjO4611ocM/31+KeUtSS5Saz1jxXJ7O9w98T3vr2dd98T2DpaOHwbC36y1/qiU8u0kdziQZZdS7tQTP+jp8PYMgl6aVjz85SGHjQPSdZfE/l0p5QVJLlpKeUDaJS5X7VM9nfmkbz/5TJJ3llLeuGnZz1oSO2rb6NxHkvHb8n3SCjgfMdx/V9oJ5WUemfYrBc9c8lxN+/XYRX+R9vk/vtb644PjMBm4X6em1vrltG/nb9z/fFYXZ2ZYvw9MuyTgVdPWxfPTToZtNvazeHCSh6YVWZa0z+LPV6SwMUF447Rvv71quH/XLC827hlI9xxzRrf1tdZXlFJOTfuMStogfb+BStlaFH6VVZ3MUsrFFu6+c+Gx76d18Jaqtf5H2jY25mR9z0mInsLoZOQ+XWt98rDP3WR46D611tOWLbC2Lzj83sL9c9N+8eGAchj0dOQflPZrAZdP6xS/LW3bXpbzfxv++9pSyhvSfh1h6QTqxsm6hfufycL73eRJpZSj0y5b9Jy0b55vKQ5dsFv9lp6J26Tv+LRtzkPbc/60X0i6etq+94kVJxRTSvlW9p/QOW/aZMld2thw6WDsWpuWcVS2FodtGNUnGt77sQs5n70q5yH+CcPfvnC7W/9tScxH0iYHXjks89jhvX6i1rqliKyU8ltp/Yh3DvHPKaU8utb6ms2xg99P+2WI30u7FN0t007wrNLTNxvdPxz6UE8bni9ZP5Du2Zafl+S4UspxaZeAeVHacfLmC397dBs+2DgGrGqzL542gXjcwmM97fKyftlfLIm7Q1pRxR+kFS4dneWFyEkbEx2ZkWOiYfB637RvZD84rSDoamnrcLONSeEfZN+6WbXuegvVR4/7SinPSiuwf3uSP621bvQXnlZK+cSm8NF5LJxg3K+4YIWPllJ+J8mRpZSrpe1XqyYJ3ln2nVysaZO2q45PPW190vfFi8ekTVi+P9sXUY7Oo3N9jN6nSymLE9BHpBX6/u8V723Usod2+1pJjl4YzyXtGHz+hbgd9eEGo77sl3b8f08p5dNp7eCV04qoLpg2vttPaV+WuU9av/5lSX6h1vqVUspPpLVVi0UOPdtcTzvbMz+T9J1IemraiYiNPG+e9isRy4wtUtn4Va+x/iKt0OQFaYmeMRyTtxQOl1ZUfJ8kt027rNvtaituv1zaCb+/H5bRM0bdKIb++YXHlo0hk+S6y/oSw9/cvE9fJG0i9lc2LXdd4XDPXMCY/t5tkvx6ksuX/b9gepHNsZt8ppTyuOz/xdVzN8XUWutnSylb+vKllIutyLln2+wZY/TsI70nIp+SfftISbtE4GNWxPZMqPe0Abs199v7RYoHJfnrYSxV0oqp/99lC97og490TJJ7lnbi5tTk/2fuu8MmK4qvz9klLCCLCJgQWDKiPxEEJSliwAQiSA4CooAgSQRRRJKKAZSgkpOIIIhKTpJzjgZQCYqKohJWgrp6vj9O33d67nTf2z0sftbzzPO+M9PT03Nvh6pTVadwLRxIfFeibc01LsECD6kYZyylNntTyaSRR0iu2dFvjZ5TfK8r8dmd4DKpy5Bsyq9unmlba9PW3L+atiV7ViM1GFjN73s27C3tAKrUWdKMIyYI2BwZggCk78kW7UZBZzkUTgD6M2xn/AItuzySGjugjQc8Biffp9rWjqNUh6vBcrYFcGJoD7jk+EczbYEKH42cSBwTRswJ24EpqbUxrmZZENxmMLZ2OHxfrg+vpaTYdydpvfDv/uHcmwdmu5uQcfV1kuvA96BEp65NvlodwNYkH0KPjyaaywx/s3MZLwL5gaTmtauRD0CKx/sjGKM6FdZ7m4CnH5Acud6t+9MEk7wy032Rz2wMTLkYm6ETcI8E8FoYZ5wM4Jm2bhiCataH7zVh1t4ft/uL2hclyUZSs1ZrMJeafmv8djV71jfo4PHV4GvX5T8onp90QOWcMMZ5PIyHdAVn1ly30oDZvUPbe2EymAvRbSfX6Dg1tlwtuVqnDsd6DLVqHCV7fav9WYgSToPfJYd31pw5OYKPnBSdDWP4q5eW0qQoktqB/sW6SKUdUIwpV163xv8QJ/YIifUdzoGzYWwaMDlBdp9FnW1fqt8AdfgMUKEDoA6zq4kj+jWAdzR2sqQnM30CriYKDAffCukkpovRsTZbY2iwgX1JvhNe1xdkmhfHXpT47qO2dwB4XdBFKOmvHUP+VvT/DACPSHq4o/3WGOwte8DzNInDSzo4nHuNzrCLpBtfaL8AtpT0QOY729jMfHDCS/y6EGGlwWYaktZen/IRAWbObXTZGfBZ9vHMuIr95mPoezXnejHOoUFi7lx9Y4ZtzlVgRuJsQnjopwqbYSH+HKSIQIPDJEmTYF3n7swQPtLo0tHnV5N0fcanVBNzWOOrqokDXRcOri/xpR6ceT0nNbrW/vDeuRAdwL8a8thl7bwfEvbMu/+qkFwj9foYhlHXd8yOjmCd0GY2DLJyskEnoe1c8KSZhMGkOS11gJBcGwaMF8JACTtAiYwMmgXpFzATyEGh369Juqnn901DQnFMKOdD0uFUaD6/RhjDxamgk9r24/6+mSkkT0q8LElZ4I3OmFwWw6DpSNBlad+Zdr1jYR0zYJGQ/DUcNHAvooxXZTKmg0K8FnyYXyLpsky7FLgtSUljvXKdJNnmKp06qTEsCAPBE8kVkq7JtP3/Opfp7PmTJCUz3aJ2bVB8SDIGEEjeBZeWvVnS8uG1eyX9X6Jt9bUISvdreoxdBKN/rWY/pplLLpXUpQhNQ4chXXPmhL3+eXi+J/f6FpiZ6vdvUdvGgJsCg573hL7fAF/r1aO2D2GgOC8M4Inw/0sB/FbSEOMDyTMlbUTyXiTueQZofhOcWTjkhMidDXTATGNcXZ4zrkLbmjU9GS5PEa+930bvJ39T12+rHUP0mWxg5jhCckP4TJxOZ/WtAOCgGNzk+AxRNePonctR26rrFuZRA9xekwNuX6wxk7xR0ioV/RLAQsozBTXtPgvgczCLTJOcQTgA4VhJuWCL5vMjOhHJd0i6gsMBZxPSBgmjvl4PO1ia/eYvsNE1wqJG8v0YlNpsgsm2V4uVjuTdcFmaP4fnCwD4qaTl0CEk55L0TFebWqk5R4Lesk7X/hO1rdmH7pC0AskvAPi9zL52h6QVojbFe3ip0Iyqx0TPa/flIr3sxRKSp8M65GYyw+accBmr5V9gv2PrWX12H8mPAjhDUdJV9N488ecq52YyuEDSSHBBuE77YOC8uQTAFyUlWfPCnvHW8PQaZZyLNXt99JlZUJZ4cQtc0aJtM6SCVGvOnJr7Ma69MAPOxj+74xr39k1yXTjY5oMYDiidHn7DDaFdlQ43roS5vkzo+5e53xbangLghJRtQ/Kdki5vvVY656p1rWjsnfhMrZB8JQbOmZvlxMlUu2lwgMpqGASp7KZucL/k+2+VtBLJOyP76S5Jb0y0vQZ2Bp+lAbtH896Wkk4N/68Hl3t9Kjx/KYC3S+piMCkZaxU78hj9F2MBhfbWcjAQfSCGAwqnA7hS0hOZccwLM7U1jpar4fn5RNTmfElrt9Zt55jHkVobo+AsSzkGpXxwH2gWxZXg39i1RhaBz7FZYaB8HgDfkR2J7bY1+/KLgv0G3fdoDOu+O8KBYB+XdFjmc1PD92fZWYJ+vBfKgyhBJ1V9HMCnASwoaSQQr+YaR+2HgvskTc+NoVQy929/SeeF91MsUBOidBBQW88hrOcc1HVOFY43iX8pjc8uKjOtzAWXl5zevJbpewUM9opOm7ZyjSwCs2TNVtA23rMAO78PyO1x0eemoSeYpPT30cyIP4Dn7w5woMbjknLBtbPDAUwTfYffl2Upiu9J5v274aCKn0pannaEbippu1yfrfEk985SHGBmjGNmS9ivWKM3pfCI1vsThBGSFqed30dLGiGMqLUxaOf7thjeA46XXphDMuyvCytiuW69P1VmA07itBrGZ8fS10l+N/yWXp2alT6osF+kPpD00ZQKyflh3fddwERlul27bMTwua719AoAXwbwaknvo6siriIpmZTQYGEVY47vTxNMcqBagQdR++w5yfEx5WJshg5+3gQOSlwRZiZcQtI+rXaLAvhjcx6GOf2KnB3CwoDkqH2NHV6DddT0O5bfrm/PCm36/AdbSPpeTn9J6S0k75H0hujvSwD8SNJaiS5qr1tzvRaTdCAd1P5KDZKlqyXsrxtIOrPvPB2j7yr9tKC/sTDU0nGE9fGzaK3PDWBZSTe32qWqwE2I8hWFOs+cVtt54UC92F7I+ZVLYwgOlBQHYk8G8F1JySBxkivC+nfj3+4KPO2VcdZTYb9VVXfH6L9Yvxmj7xdFvwl9V+kApZhd6zPT0O03bxIBVofXzHUwVt1pi8wMYfA3cZiFdkK6bPbC/osripJM7QlPAbhd0n0vZBw1EvSZtjw3E/TpBWCCgwUDFrYsnAh38pj9NQmk8wNYFSEhDyZ0uFpSLtG3pO9iv/kL0PdqzvVinIOuPHYCgJdIWjjgmttrkBQSt70EwPtkUrhOGUMHvwZOHPihOvDn8DxJEqWW76fVbgaAhyVdn/n+If9q7rXMZ/vs2WJfVamEs/YSSe+q+MxrYDvkSpJTYDsk6T8fAwucD8DK8Hy7SdJfWu+PNe9HvmcmnGP/ValRUjhGUAbJt8PMPA/DF38hAFtlQIDqSfNiCAucSC3lfEU44r9EOe80wkKbYjAm0f9UNxk1airv9YuivLbGsx9cLmlZONvzfTBTYmcZ9JktHGUGfCuAJDNgMD5SgYMjwBTJK9Th9Gi13RfAyZJ+F722naRjS3/Hf0tq5wbNWrIxgJ9jwDglvcCAPbq0w/4YDUjOOiBp5rCvSzo6eu18SWu32l0CYG11JDlEbQ+E2QdOxQDkmVtSuyRv0/5mSW9hcHzTQSV3jGtohj6vggMtZgFwF8z6drXSJUmaz9wPKz1/C8/nhQ/HpcPzsQxNzsQgfI4BNpM8Ay4ZcG94/noAn5a0daLt0QDOVSiXQzNuvUvSHq12r5L0x1ojM3w264TI7fFRv9m9vkRI7gyX/fgTBiUzh0CN6Dc1TGAxm82zypcPqxnH/8Hsoi8LY3gcrcDMcYCmCHhcHc4+OwQuAfKWqE3jRF8fZtBoSkhsCivdn0v0ewoM9D8Zns8L4NDUPv/fEBaW76w5nyq++wAYfPxRqeFM8nZJOdbgdtuD1RMkHLXtBC1JHiBpv1KQMOr3BgD7KJSuDXrrlyWtmmj7S/hs+HV4vjiACyQt02o3lAwSwK+7lUgQCe8XG7uhfZURWyokr9dwuciZInQG98VwBu7b4D3grtT1KN3DSR4mabccyNGlY3Tty1GbIqcTC1iaOUbySfjcbZJWZEGgXHjvg/D1BYCrJJ2f+30lMo7dFz5XnCxWMZb/meCCUglgxo4YgMLXwoB6CvC6IbXnzIQxTIIZomaaM+3FFpKrKM/yELcr0uFan0k5h/8uaZ5E21Vhhst4HqeCp/6/4hfjrtPw2RoHXHHbwnEvCetu7QTiXCLsRTBzwVlyIsoGMOvg+17AGEb203i/TbQvKrMbzrw9ARwT7d33SRopLRf2iW0T/c4UnZNm9DhNBc4okrOW2L5R++U1kxLaEn0XzbdCG2PsNVI55hfj7MuxMo/bXy2OMwkG0W9HYSJF+FzpWikOoqSTRFeD2dbuhB0Y12q4jGy1sC64r3bfWk0tB0/8GgfBP0vD+EkTEL4O7KD+GMaUcfDcYI83MgVOar5DCXyWaQdV0gbss+FeiNDY/YXqCKSt7K8KAwtr5J7U/p7p/3ZJb2pwjPDa1ZKSgf8MwWRymc1G55hd6YSwHJP0ga12jX1xN4Dl5fLKt0h6c6vdOP6fGhygdBxFhA0k95L0tRyulMGTZoeZkKZheO9OYmBBj06NYQSfYQVhxIsldODCxzH6+1L+i3VgPG02SYuSfCMcSBoHDFQnA42jr7/YUoGvzVTdN/Q5GWYkm4bhe9I+fy+C2cz3kbQc7Te4s2v+sJyYZxKMHSUDEBLtO89JvkBMuRCbafaLeO8csZ/pAONVNSAXmA1OvF5ptNeJ9u2A5CWVwIn/14SFSXMBW2yC366Vq6ml2pX4D7aXdAwrgpc58IHdBOPyfwVwn6QlRzqoFJJHwYEs75D02rBmL23fb476D5vfltPfrpGUKu+dajvTE0bH0NeL/WCV47gTwAqSfQFh77gtof81AU7JyqaSRph2S86cqO3HYMbT18A+z5UB3KhCn3vH7zsZTu4/OOgDZ8F67/6Z9vfDNn4vQVjJ+VuznliBKZM8VtJ2rEiEpcmkPoEIT4axjBFsYBz95kU6T6v9IrT/cElJJ4V79BJlkh4Lvr/ab07HG9yEgW9yMwCrKZ9IsQxGz/XvJ9otDuBLibZLRW0uCtfpdxjocBN/JY3ouIm9s+k3pe+1yWEmw+yuyybangHbvo3P4v0wS/NrYezq0KjtShhguLOH8f5D+QSfOzG6Rp6Cq10crOEktz/CvpxnQ79zwHjSQwB2kHQ3ydMlbZrpF+39MPR7AYDTAHwm6HCzwntLygc2O8xw2sZORnwdJM8F8AlJvw/PFwRwhKQPt9p1xtxomMCj2G/+QvW9mS00C+4GsJ3Rh7ueDDOoX4Seag3j6OAzW0juKunwrtdoX/KqcBW2b0ZNpwJYTy3yKo4Rh5LStTvGXLNfnAszc/cm7dKEOJ8EME+wQ5aCA4FfsA+GDsq/BtaPf5lpM1Pm/Sz9Tf57wrLMyYamuaR8wRoAroCBzLYI6TIch8KslveHMS0F0/yPgElyObRn2WJAaksOCIr62SVqOw7b4H6KsogkPRmUuJ9Er60Z+j8DwHZt5Twz7tgIaxRMwcHGsXwfwNowQD8CxiBRJoLOejsJ4T6SfArO1I3LmNXc65q2zRhqHV8bwCWk75S0TVD4hkrFjAP+hc99Dc7seQ4OVlkOZjv6XqL5PgBWUosZEECqpHgchDEFwHrIU7n/ki6heh76y2btDGBTkjspBC/BzpOJwGFWArc16yT6TAnrS+3c+BBczqUIzA97xJ4YPWTahs0JcNbI7UiXwE3JvwCsSfItcFDWPwEsmGj3EIBrSZ4DYCJ7RS5V0Jb3KApUBHBUUFySgcMoKLvC+oCoeeRkg4/BbMn7kexkHEZ/2eE9YCP3UIyKkCj9wtEg/CNJDgXhs4KpWSEwmBmwOdPFMs1+HPq4LwAQKVlJ0g5R24tIHpQY0x/D3yomCkZOU4YSIi1lIrfHN8ZbDsQqdQDsCq+9LNOFBuXfV9NwwODedGn1tqNpnD35GACf0nBg5nGwcttIX3nxlDTr/gMAjpJ0Dsn9W+O5OnznQS3g7zw6IzAlb1BULkjSEyRHgkhIXidp9cScHgkcjD6zGMxGsgqsB9wIYHe5nEq7bZthc2EAv0RHGdHo/+T5NMaYPwXv+TNIPt/RLpabSK4k6daONo1cRHIEkM0ASEfBrNKNPBO/Jmm/8Hebgu+NZa7o3IWkqxjK3CTkzxrOUHwQvjdtuZiDslaAk2cu7BjDYQDegxAwEMCJLqD6ZAQjNjx/AAZnJwCyMc4RoKCk25h7QGlpWaB8D28MteLy0Ww5hzP7ciNnYXiP+nd4re10+hr6WZqbsl5rd7RJyT+Dbt0A9YsiXRYcJL8SxnZa85106c+9oza1c6La7gvj2AStZDHYEG+3LdX3AOBfkv5KchLJSXKWcbscYNPvZQA21HDyxxmS3pNoWxL4PVaFCTiYbToGJXU3hefthom2V5LcDqM2Qwxq5sbRtS9/G8GZBp/n0wGcjdF5XOX0KrQX2u37HCd7yUl3m5HctN1HYm8p0uFa8i0knMOJ8Z4Kl0i+C8PzeMT5XopfRH2XzLmafXYcfCbrgENav69pW6qjngTjIt+ES9dug2F9uC29JdiZZwLIsQFNSrRN4nmsK7M7p6RbOFw+MFdu+FRYt3sPvEY3R768dTyeouAQGPy/leQdMKvbJVI2EWwayeKgSADfoFl2z4L32JFKDa0xlwYDF883lNkY45xl88Dzs9HFroad2TmG4iZR+mcYxvmuidqMk0R0M+2cPQnARal7V6nbV+E4ciDfoXL1kVxpxPZ4atbKfHIVil01KDWZY0heH15HF8D34ya1ApjHvMY7ITi/Q5tf0UFlKandt47EsO0y9JpCQAAdQL2CBoG1+yMq9dyWgN+kft8LwewgaefW98yDgb7dvLYMfPbP08IlpyJa2y3ptOGivse5fx8EcFiw68+A97jkfluoH1ZhYGGN3E1yYZUx7TYBGH8MWNEf4L0uJ5fDuFcTGDYHzGaacuDFrDtTYLsjdZ48STM+XgPgNJJ/RvqMGke/qMEBmnFc2zUOhVLbZ5h0oQAAIABJREFUzBA2RE2b31qDK52DwHCGSP/ukAswwOumAFgUwP1I4zP/kPTPRhegnc5D83ocPCl87iGk10j7vD4Hvr4/RT9mvj+8F14V+rqLZs6L+187/K2p7lGlr7OCAZaVPqgEvrYIPG9SFWxeDN0XsK33PFqBZwmZX2Y8/WzoawbJ7D1khpgHadvlPyQPgTHJEuk8J2sx5WjMNdhMadnhWRQxpoU1OFvXj5P0a5KT5QSNk2higfZYi9dqDeYyDs7AVsU0kl0V03aF52azX3+PDio8st0WZf6DY8LfTnbjlpxPE3J9HcAd8O89vt1oTPzyLXJC6Z2hzROZ+13rP7yM5KdhjDX2CaaS+Y5DSBgNbe6hfcETGMoY+k2tDleEoY4xDsa2R9g7RmxlBeZBklsDWFODyqZHwzpLSvZHz5kTya4wfnWTpDWDLpoKUq/FqreB9Y/Pwnr9RZK+2f5cJI+rp/JTJL3nrwbV8b4j6fGe/ooxZQ0CDt+XsJW6dPVZAXwnPN8yvJZKYuzVb1rfWXOerg0zkraD/FP60Mno8Yu0+t4PxgCXDp+bFQ6SHCFPKcHsYH/Zdqjwm8NnexwofgDJ2xPtQCfNrgUn714C40XXwXFDbTkZ3nMOgc//bdDSMRQS7iUtlPq+jPTunYwqipJsWIuJUFE00++8AN4Y2b6fB3AmTLpxG4av6Xdg3O8MeM/YGiamzMll4fub67RJGPvf4esUnyU/hMlJzgnj+CA8Hy6E9/SV4f0dMKZRKi+X9H2SewKApH916HDfhX2La8PB35vBmFJKFlMIGg7yB3g+tyXlc2hEiCr8qcJvXqvv5c7zqL9UoshScGzdNPT7iSDpdy3cNXedHwqP2cKjS2p18OLk8oq2W8HxA7Fs3XptNjipfhYM6wtPIz1fx4lD6fVVRVKjaz0P4N6Az8R6VsqnvAuG7ZAH6DjCIRkTSzoJ3neOpGM27oIT+A+PPjeWndOW/6nAYRQ4x2qUfjkYbRKsSJ1ZOIZZFZWcCDd21o72JZOmBggqDiiIpNiJhLogtV4jLPQxDhhzIoAdJV0LAHQG1UmIgpIr7/UxdGbQ0z1Kcyy1jq/ngtExg84w/jNGN6hxwD/Awep70QwUj8IH5pUYZM3EMknDrKh/RXoOQNLZ8XO6jPRPM2OYA95Q46yxHMD6ewDrAjiL5A8lfR2jToha4La5ZsmMz8yYTwvt1kbE+jL0RXWGDWDlZ1aUAbGA96ujYeO765B5Sq3y8AXyrKSNSe4FBwZvhLQC8zisaM4ZHl3yb5Kbwwqs4MCQrnHvDYOb9wLYHlZG26BJbUDULLTjdiMMDKZOkbMrL8Kg7PDeikqqSvp4+Ltm4RiAgiD8CuA/lhqw+Rckj4fXumDjIrcP/SUYJ3HbVCmwJDiIDgOWBU7Tyj0+llIHwO9gR0iJzEUHmV0HADTTXgqIHWdP7g3M1HglLn5P8hjYmfbVADwn924AC5BcTCFAlw7AWyDTdhLJeRXY2eiMvBQ4tnr4W+yQhQ3Xb8NBvYB1tNMxWIexHAQbqUMMm7mOS86n2jFX/rZG1gSwPclHYD0uF7ADDAxwwAbTm+HzKWUQdoKWHLPcL4AHadb/Zt/dAjYmU/IzkhfCgIbg8/TWACpNBNhK2pPkh+HzlwCOVU9ZqwpjFygzYqsDa2Gn/7Po1luq94Bwtnwjev5bJJxYTf+Fe/jjoa9cgElKapzDpU6nP6k7aBgasOH9BQPddykYAOzSYw6Ek99eQzOhrwHrDyl5Pwy8/QcAQvs7YZ2jkao5ofGC8ddDebJYqb4HlAc5AF4f7eSPXBBQb+D3mHoL4OsQZ3hfSbOqpWSz8DdmYB8Cbsbcj0udaUCB0yuSXnuhJSV6S+3eUqTDtUUFzmEYN1k2PnN6pAb0Kkk2KL4WY65ToNABN0bbUh11DkmXk2QA4vYneS0clDciQX97F7tLxtYmZ9xG8huwXiY4kTdnI6+qQZndA0geikxQNjw3Fw99gmZHzrGiLiFpQ5LrSjolrLlLugbNuuCQzwcdZy3YgfQtkmcCOEHSb1rNq4Iiw1x4JWx/HhvwnB8onWxQEwxcM99KbIxmTn0srPsSORHAfeG3AXaengQHr6akJFF6nCSipWA756MwmP0DuErVA02DGt2+Bg+M5NKg05ZWH6lZK8VBlOEsmxsG9t8N4DiSf9JwpbdxrnGN87to3+KA/WWBln0yFQ6Ca8vCGE4M+yfsLMtJTFQxBQ68GtKJxrzXbXkWo8k1S8PX96UYxiWnw8FJKSkKPMEY908moJgV3gc3A/Adkpcpzdbcqx+OiYG9CrYRb8GwDpAKcvoiHZC9BxwcORV2sOVkiiI2SUl/Z7qsLhSxcwEAHRiYCnBZF9Zbdod12XmQcHiNqV/U4ADNOHbrGkcknYQNks4Lf2twpddIem9pY7WYpmiWue0zza9mD2HEmHgSYD21kSkwJpFikZpTCQb3jMyQ9FQLj8gKy1n2a/X1lB9ziUzbWh9UDb72Yui+gOdcSbXBZ+jSuY0uuTK6sd1eYp6W1JztpedkKabcSA02syV8fn4S3rsWgs++tjxO8oMKwX0k14UxmJwUBSRXrtVizGVMnOFY9CfNNbItjAc8E9p+Fda/U4HDxf4DDggxVobnQpYQQ1Ljuzmb5PnwuZb6nnHwy3/RvutmnSyAdEB+rf+wCfrfKXotF1RTkjBapd+MocOVYqi1etaDJHeBA0gBn2Mj9ziSV8Pztgkoekl4LSU1Z87zkp4nCZKzyyyvqWC5IgyFwwyxh8P41/Xwub2CMhVWAewXrvPl6CcIqzl/b6ATgn4A78kjlYIiTHkSEpXxcv1iNIEx9Rpgv2uMXV7RgV326jctqTlPD4Pt7XsLzqaq4D4Yq14eTmCApD8E2zIlJTjxdnSc1OdVyOAPX7sNFAi2aF9Sbm/aGMAbYabaLWm//zGZtnNKuoTkIQHj+XywUZMSMJyFMazDpXDR3r1T0sEADmZFRdHw3c9Fz/8BYJqkZ0m29YFJku4nOYuclHBcwHCTlVZgLCLGB+7kIPnn3lbblRUlzko6l+S+kj4T1hYkPRre/gO8FylgfUsjnxjxDO1Lbs6mlWBbOSVLybEqH5ATqr+LPB54Dc1mfHroexMkSFokbZn5fJfU+M1L9b3mPE+yGWf6bvxEx6Nfp/5d+G4FXW4XZOwADRK2S6o11OrgNThqZ1uaRGUzAIvSrLyNzI2W/aRB4v3JKiC703hxKL2+qkhqdK0LwqNEnm/ZISk8DRgPS7qCJi5YCb4fO8AJpe2gbaDezhmS/7XA4VLnWHGGbAD5PgkHTZTIbSRPwDCFc84hAxRMmjYQ1LXgVRdQ0EiNE6kmSK0miAtAFRgzXSFoOLS5jg52i/tKsaVOiFrOTZlB6YMYpjrvklrH12101ulx8PX9O0YD68YB/wAHqgIOpDhd0t86jJFaZsBYloSVnRGpBFgh6bd0eYCjSJ4FBx7H71cBtxov47OG9aXXsAnyLAzCtA2rJFs0bDwelXkvlitJfh12RMX95gw8IBzEcgbq7fD8HAFYJe0LTBhgkPRcu00km8GHyeHwHnA9BofqiMhBPceFR67N7eEQ/LikLXLtIjkQ/i3XSbo1gDi/KvjcZDjQYxYAS5FcqtlfmGG2jsaYMoyLg/BRx9RcAzZvA5fXaZSFazAAOdqyKays/Thqm2K5GydYp9dpyjHK2gQpBSAeBHBVMCo6y3DAgOKJtCMLAJ7EACyLxzS0J9NBAlI6gGNiHOwJzOR41QE2AvBeAIfIlQFeheFA1Fh2h69FA3JNQ97Jcyi8vzUB7xvCWZ9JIXlq2yhLvda8JSlmbvpe0KlSUsywmZHs+RTGOBkGmGL94rfhvXHnJmDHbZFIGkqEIbkQ8mztfaDlOOsU8Dw/AF6fhPeB3Dk7Ba4asUZ4/jh8hqyDVoCtHMh9druDjBQbu0F6jViFihM1enCJfjHOHsA0c9DfJc2TaF66h/8EAfAkebZapZkyUuMcLnU69bI0R3INgLfSDGeXw4D2xrBtNCKSLg66yqrw3Nyzdca25aUYgPQj1zaeE2GeLQPPofsVBUm3hemg/KfgsoN3tV6vSRYr1fcABxc8h+EghxzY/B9GzG90WaHc+dIb+B1JbYWJO0muLOmmMI63wDriiIwD4LCszG6pMw2oY0mtsReavjv1ljFsviIdriWlbFX3wcBmLtizLTWgV0myQbX9SzNKnQQD0sfB++PeknI2X6kDrrZtqY76PO1o+VXQg34PM7pkhT2VPErA0pbsDGBf2JYlbB/vlGnb2ILPknw1bIfk1m0vO3IkTeDkkzSD2GPoDhgEKoNDgnPjsdD3DJjh5Yd0cN1eUdOqYO7Q92MAjqAZUPeCHTipZIMah2HNfKtJ/nqI5MXw/b5C6nRGLt7SKw6gmX9z0nv2Sfpj2I9PUGFZvTDGy2DmszVhW3hH2pG7t6Qb4/YcLr86P4C5lSi/Wor9BqmtPlKzVoqDKMP6eCusg68IY6tDDlGNl6h1Ncud36X7Vi37y6kAbiH5Y/i8Xg/5BLsJfS6S63NncM29btnjk+DkhCHcX2ZkOofk29q4NF2eMiVFgSdj3j/ILE4XhbHPAeuMqcDhXv1wTAysKLAnrP8lJZ0P69ElwcnPMApiIfkmDDvau2ROJJx6GgSQTUV3oEcz7vngc2B1+HpdBzOwp/C4GhzgGTpw4c2w/XJJps9GiggbWMdUdQPJ/1NEBlMjku6ggwFSUkIYgbCn3KNEWd2O721fp8NIXofRIIrzSb5foXJbj9xHcjMAk2k2rF3gAKMR4YBlv7fCDMbQ11Xox0S9D6oGX3sxdF/AFbfW6tDPG/kUHPi/OM1mtQC62e5KiHna/c8Fr6vn0H22l56TRZhyJMXYTKTjP4fuPXcHOMn4W/Bv+h0cfJ6TLeHzLg5I7jwH2IGjhv9HcLiA/ywkKVcZsgZnqKmYRgzvk/9GPpilxn9QTIiROlfpKrn3xtjWmFjVEfDe8nKSX4LXyOcT7ar8h5XYTG/CaKTfLKtWUA3JHeAgqRGp0OGKMFTVV9PcAb7Gn4d/3+Uww2pO+iqbxlJ85gB4lI4f+AlsEz2BRPXfCgylzRD7BKzzHgpkmWIBX+dlYJsvrjCT0g2Lz19JS5J8M7yO9iH5c7giRor8rLcyXtCtFoT37OUxWPNTkSfH+jfJxRUSi2m/ci5or0i/iaTmPP0dgPt67PRGaoP7/hlwkaZ9V8BXEU6segb/bQDsRrLBgGYF8BTJndyd4hiF5+TYnBl07NNjyJ/r/6ABst+EPSWLrZH8MoyZ/BLDOtz7E81r9s7zSc4V9PstYDzy8Mx+cyaAG0k21d0/CODMcE/ub7V9JpwJd4ex/xG2s3MyN8k3NWcK7ddsdJs2vj2dxlHPCM83Dq9Nwuj8vxbA24KOczVM1LIJ0jrGp2E9abFgoy+IvA4X44GvhX2Oi2Ta7gT7qN8ann8X6YrpE0LyPRitzPHlRNMav3lpDMHVYQw1VYBr/EQ7wPE4C8LEkZfCOuqIsKJaA9I6eBeLcw2O2tf2BniOz4/hs2o6gCEdkqFSA0wOkWLYTcVSIOwVmwNYVNJBdFXYV0oaqRJWqQ8V7xc1vg4Y69oL9gOsCa+D89uNYh0nwhgE4FZFZImx0PFqc8EJcNciIkRMSK2dMyT/a4HDpc4xoC5DtqZkxyfgm7kLBgEZ30m0a4yvd6ssUK694EnycbQWPPMlK5sxpzJ9a5xINUFqNUZYERjDQVDPLTTzYpNxsjFCuY9IugK2c3JDMLjb9zqlIFQ5viQ1G/nRtBNnas6IDsbSZzBK455T5s8j+UsYVNgxfP75VENVMANylHn0sTCuVNuTkJh7GYfMbeG95wFsExTGN2X6HSrnFPWbY2eoyfisYX0pNWzORZrpIifnkdwRNv67KPAbQCJmW+gy8IAISA2H9Fowzf+QkFwWwCkwewhJPgpg65TRIOlh2DlRJLRDZX+Mll0ZUv6DcbAAydk6QJKm7VmIylnK2WGdQVTsL6naBPS9HDZKrwjP14T3lpRhXBOEX8PUHIPNzRiTYHNYQ99EQcJDmFO79rWLJey5E04TSXdmmpY4TccpawOUAxC/DY/eMhzBoFqOBpmpnnLbJFeEA1Tm9lM+CeCjCUcmMByYCaQDM6urA0h6FsCPSL48KLmADd9U24sDGLVM004ZVjBJ3yV5G3z9CWB9ST/vGMpQaUOageNNrdca4/9KkntjMO83Rj7YqIZhs/Z82hleU3/C8PpvdKJx5+YECMlWUFuhPAog5zTrBC01JqOWnPSSS2Rpyx4ZXRdA8h60vysXZJEydnN6J1DhSCo5c1hf0q12D+itgBJ9V+keHjs8upxisdQ4h0udTiUszY1QzqDfFsCR4ZqPnCEkl5RLgDbrsQn6eSXJV2Z05YMxAOkJl1dPZvsH/e5oAL8JbRcluX3biRHJiuHROAg/AOBWADuQPEtS7NCqSRYr1fcA4AvBIfsfWD9r9JjUHrcPgOs4CKJ5G/IOjprA79oKE28B8BGSjSNxYTjh9F5/xbANGmyntp0zEjjEijK7KHemAXUsqbWltosdJ6U23zg6HNLO4ZS+PD+An9PsgfG8SAJvlaBX75zjeMlUH5V0eACGXw7rWSchnyxa5IAbo23pvd4NdlztAjPAvQNmrk4KCyp5RG2LylzLwVN7j/aQlFSZ3WQSqMrYkRs5lg4m2Bc+11+CPHtKI8XBIXSw3lZwIN7xcALKvxiCH+Fg30aqgrlpx8bGMIj+F3hv3CPTvMZhWDPfapK/lobt250AnECznp2hwBjRkuc4zCaxGhLBepHeVHT2Bfv+WZLz9Nlaof/5YMfelrDOvjM8T94I61SLRm33w3D51dmQKb+KCuxX9Qm0RSWpQ98N4F8SRPlV+P4eAYP//+poW5OoVeP8Ltq3VM/+8qWAhzbsSNt0YAyxXQn4THsTnOySkhqcP7bHZwB4RAOWpbYchlHGsiMTrwH1gSfF94/ke2Ebo8GojseAKbwtJfphqrpbI0n9XoVJmqon5gA8584i2eyBr4KvxYhw2PcxGbYPRzBiktuH15+D9WqGz+XsqTPge9LoS5vD/oFUAkRJoEczjo/B590VYQxHkjxQ0omZj5QSNtQwVa0OYGuaEOMfGNjJSUZYDidTToLne7LihgoII5p2JO9mFNTeJxxO7p4E7/2pvXpXAJ+j2dv+he7g0J3hNfIPOCjwEqQTgYAyln0AY+nrNX7M2uSrGnztxdB9AeAmAD8O+lb2nshB6WvAZzrh4Mmuc6+XmKfVf83ZXnRO1mLKqMBmmPbtPgWfD19UCKaXg95WDveZPTo4AHxILkf8PEJAMh1ElGIaK8FR47ZXwcFQs8DVNh4nebWkVFJ2Dc5QkzR3EoCb6cQkwGv3hEzbYv8BUEWIsS0cVNcEk74dXgdLhT0/7qcKq5J0Gp1o/87Q9kMpvx0q/Yd0JYNPwHoCYP3imMwaTCWMJokBAOxL8h+Srgjf8xn4eiQDh1Gow5ViqB14dW4f+jOsYxWJeiqbtqT4zJHUBKjvH/DOeeDKbEnpw5NUV1UiluXUqjzQIc35+0+4kkhn4qUcsHULHRj5DRjzTAUOl1TGew/s634NjBs22PnTAD6XGe+esL/qwdB+EWRs6lL9JpKa83QvABcGXb0vdmYP1CXYnEnHzryU5MdhHCH3G2pw4hoG//l73o/lznDdToTPuqcR2JITsjuMI+0CEx9NRR4T+TDMcpuMk2lJzd55FKwDLAffxxPgwNY12g3lqvYXwno4AeyqQLiB0T1nawww3D1gX1LXfd4ewKlhHye8/rYN2Fw7GWdTeN+5KrS9Ft6/Z8Vo4v+k4M/5KIBvSfoKM4nlkm6jAxxfG/rt8imfEGze/eB9cE5k8MAwv85EIaEnye/ABDNvg/WBD8Pnb6rvGr95rb5Xw2Zc4ydaWtLQeRtwuxRhS021hp/B83ZCB0eeGA+ow1E72wbs6BGUJSOMU6kBcGzmf+B1fBAclHw2ogSUWFjoq0LFfhHm2sGJflN4xF4wZvNL+Gy9BHn29VqM4R4YS3s9bFc8SfJGJUgkx5j3w+PqPx/+e0Jn0P8JVvh3hxWrb2u0LCFI3iXpjYX9pgwSZW5sldBBZ+uoJ1AutL0BwD6tBf9lSatGbXIZGgAGAS7/DQlgfmoMyWAXkvcDeEMXGMNBFl+m62xgbZFk+k/2Gxbl2bDBfBKC40tSzgACHRQxDcMBsCNKGMlLYXDy04hK4qojqzscuk8HgHYumHElZ7D0CknCGcKlYF7siJ4CZ+L+oe1AGmMcF2NQzmnCcFSrNF3Ufhs4aGgo4zPl5Ca5NqwkLYQB68v+ClmbHWOaHzZsNpeUo4svkhdzfwn9zwsrmfGh1GZLuQ7AAZIuC8/fBV+HuNRF07aGsQd0QPvuGL1/I+wawaBZATaE4sD9b7TaTYHBmHYGWTbrpWR/Ce3Oh5mP/xievwo+R5JZ+HQ2eaP4X6N8EP40GIxbDQPgfzc5EDtuNxnAVyTlmGTb/baD5ACkFQ/WsZGA5Bdg53izR30IwFlKl+TdF15D78SAvf54BTbrFyIB7JkLVqD7HAClfVYlJJC8B8BOCkz3NMPVd9pOltr7VznmdvDUwrBhkwqeAs3oOg3Dv++70ftTJT3NYWcsorZDRgpdDulzMLPRs83LsFF6rKISPWFfE4aDHaOuk/NzLtihNwkDhs3TMntF7fn0a7hkXW9Z91pJ3JdFAPwidV84HKg6CQ6EeFiFCWSZ718MBWXzOEZgFslfwaD/SQAuyoFCzJQa1HCA5VgSDMyVYUdQryOp5MwhuY6k80gmg7Yy+kLRHhDeu03SijQD+xvCazfE+nrUtmgPJ3mHpBXa/3cJneC0BAzm9zqHw2dKnU69QgcJ7wgD+ttK+hnJe9vgM8kTJG3LdGkxaThTO/7cqzAw9G/J6bxhTqwt6dfh+eIALpC0TKb9JQA+rFDZJVyTH8J67e2Slo3a1syhYn0vdY/j+ZRoPz+8TgjgRknJEqV0kl9qDCkmvmko0Fui9sU2aLAR3w6DJhfCjG3XSRoBRGmmyXegVWZXUjIIh2b2bJxplyvDnBH2zmNh4OwJBJbU1O/L2AsHKDB0J9oX6y2lNt8YOtxkAKeUnC+0o35ElAkOqgG9SuZc9P3Jkm6SRhw+zXogeTiAqyT9mOSdkpZPjbn12TUQHHB9GExf2xdDRw39Nr+v+fsS2DmzVqLtbUiUuZa0T3j/MEm75fSA1Pnf6n925MvsNgEHJ6Gc/blKaAfA5+DfuAccHHKXElUDgj5yQgrzIvnaeD+gWRN/ATsXDoLv89c0cOK0P38TnCx6lqSc869p+2MEhh14/3oCwKySUsw28eea+XZRTs8ZRwIecDgy2AXt8Ppu+G7CCdhbS7q71S4b7A7P+1Tyx5nw+XQZhu37VJLWA7AueZJaAZwkPyPpq9HzuxDKrzbrPndOsg77Teocbfwk89m+tXIK7Ch8MjyfF8ChXRhGiTQ6Ax3gM4dColZqPyS5HoAL+zCRyu8fx8boZDBstY3tyhnweX2gEkHwNfe6REiuAusJu2E4QGUqgPU0XOZ43O+ouX9nwIFWF5Xcw1L9sHK8qUCcJqBtj9gGpZO45kEZMUfzmVkxsPl+2WHzxXrnDJgtbSQoMtizq5T+dpK3S2onRd8macVE2ya4j7A+tChsp6ZwgPvhKl1/Dc/nA3CDpFxSSZGkxtvRNqmrp87M0D726cyAy+yerUTwBQsDHUPbK2Ab7hYMz4scU1Tsp2nGcYikNktbkdRidnRg2IbqLvPbtK3V11N+zO80dmurbZUPKoOvfU8dieHhczNN96WDsj6EgjLs7MEvOz43DR3EPKFNm21sIQCvUoJtrFRYjykXYzN0EPm/4QBDwDow4TW1OoAfSPoe05WSckFnOYwhaz+xAkdt+gnzdCE5UCqnl01DIc4QdKUDEPldYH9VsgooB+QnjY8mm5hU8JsarHwvmGktJsSYXdJBic+cB+Bjkv4Unr8CDjD7WBjP61vte7EqZjD7RvrWdJ/QlYVnRUhYhxP4/i1ppJoByUUlPcQoYbR5LdF2fpglb0+4euIyADbpONeLdDhW+MFKhGMQS0Sf7a2cXHrmjHufK/Ck2j3rOADfVDexTLXQQUjrwfva4nDA3JlKkHKQvAwmoYgr4+0i6Z2tdpNgjPC0inHMjmF9M6lXJ+ZbkhAr89m+8/RSGNu4F1GlNOVjZ2ZBeYINaNb8tUL7SxT8/ol2NThxowPMgJNQRnQAjpKDtDvOntfh80vA53rSXiC5vlrxNKnXwusXwwRJz7bfeyES2W9fAPB7uUJd1lfDQTUhAbhWaebXFzKe+QBwZth6ob+74PiPwwFsJ+k+Jvw5oe1xkj4ePZ8TwDmS3p1oO5I4mHotvL4uzOz+aniedWKtHGCnd0tajmauPlsJDDW0L9I7x9g73wv7GobYjCWNVAnhC/cTJedccw36XqvtN7xXjKMm2k4NbW9uteslw6BjkhZon0kkXwfgz5KSya3RWp3QdzuuRbGvqkbo2Kv9YDxpHRgrpqRk/GRl39UYA+1f2AbWG14pafZEm1oyzyH5X2McrsmcrCmh0GZNzArtWDwIo8pEznn0MEw/3RkoF6S3PEsO8MmMtdqJxAFo2247spnllJwOKSl5WJ0lxzr23m01GmyTVAQlNRnHV6OA/Y3kiTDA02Y8TWVvVZXEDQfyTnAg2Xbwgbo0IhpzVjIDShLt9CoCIeUy5fGYToezROPXzpS0UQZURApQQF2p7dqMzydkx84E6wszJQczhs2bo/fH+W21+8tEydro89nNOgA2u8JZl3fBToMbMZr5MndsPEj6KclkYDbqWFwA4CnlWf3a8ofwmIQ0g0Qjp8JZN++B2UM2R3eZe6C8nPg0DcoqAQZxl+pofz0MlgrdDAcPo4Ab4r9MAAAgAElEQVSpWQ78L1pzQU5AIkguIzVsJIADNpZXcAyQ/Aqc7TkSOBwBZmfTwddZp2noqxgUViE7RNjr98LoGknt9edgkJBQ4jidrhAwGPq8Luyp7bEW3b8x94uD4DU8FDyV6f9UeJ+6C8MM/vE1/j6AteFrEI8hycIj6WAAB5M8WFGQcEpq9rVIlgbwgOyQOSUYeEvA7NXt/qvOJ5g9tYTprIZpoZHi+4LAth9kBoDTJQ1lho4BWpaWzWsyMpOBWZnxLgWzK30Uzlj8AYCTJT3QaldTarBZq0UJKDIr0aGSVoH1pz7pPXM0SA56Vmawj8eWK8dTtAc0/bKcOah0D1+O5NPw+pwj/A902xnF5XPbBiHpmP+2jsG6xJ3dYBbgH8tBw4thkNQ1IXLQ8CSYGTIZsJWRVTBgxJ+MQUnYtvxZw87XB+Eg/5wsDCdENPIvAItIeo5msIrHPhIgnJOSfZHkJ+Bg68XoYPVG5kY6i7xxhL4XwGKSDiS5MMk3K112KcfCkBrvw6ioMIGMjZECAGHGhOUA3ClpG9qhlmM8LC6zSzvaHpL0bTrB9t0k/6gQpNUaVzFLqupYIov1liClNl+VDqe6Sh5Xh3sQB+J3rZGTMAC91kQAvTJ99845jVfS7Xba0bIogM8GneE/qYZslcVWB1tiTdvwfue9DhhP1+dzQbtNUE5XJY+4n64y19XMDGGv3xFR1RGSRynN1NLL/sxMYEM0/mSAQ3ivuGqTpC+QnByu2VBAolpJBJJuDWObBDsgOxNmJK0czvalaMdu1lmnCqYokqdK2jJ8rlkLp8JO+3bbGluncVZuDOsDtyLDTCoHCDdsEpD0dKbdKaHfXWXcNf6uHMPiBchXG2nL0kHHn0py7vieKAoaDlJTfrWGHTF26k+B8Z7bkWdp2wlOdHxS0j9IzklyR0mpqnNviM8jSU/QJXVT/dawkpAOcN0c1tGAPFb/QQCHhb31DNiJPBRsOca+VcX6wmEGw6aMeJLBMHxfjV3Ze69JXidp9QQ+mtKpZ4OD82bBMD71NFrsT2PYcNFHy+6fpE3Cef3uoKv3ndf/hnXeKQCWJZkMgqdLUO6HgQ18NRycnbKfvwFjdt+Hr9kmsG15P8wS9vaobZM0GdsTXayHzXq6Lzyfl+SmmfXU3rOnNvYLMBRg8xsMkp5L5EqSm2DAbrUBMnuYRpMhV0C+zO2jrTFPhzGKpFTYy8VMVaqslKQ6n85FGA10BLxWTsYwu3WVr0gVfiAWEGeUYnaR1FSYqcVcF4cDvJ5Gz3VRpQ8KBRVsmA5UaxhxX4JBJcd4HDV2zq9QUIa9EL+M248k+ZB8W2p/C9JmG/s7jKGNsI2xPEisFlMuxmYArCYp9k3dS/J6SavRJdEbnacUK98UZixftHXGz40E3hpJEY4aZBY6sXsjmFk1KzU4g+oqpgEOzJ6BcO9IrqAo+Ix1vvAGK28Ol3h/FzyX2jJNIWg4yJ9htsu/kUzZDSVYVXsciJ6PYPeVZzrgUtVxAM0VdPJ2Ss4GsIJcyaaRHyKBzUv6C0208dPwGzbo2QtK9fUaP9iEtM++CKdqbMTbRj7U3V9fZdPme0rPnPg+LwwnnhIOuPot8lhAKZ5Uu2etDmArFlQpCJhkaXLG3TCz7YGSbuwZQ1FlPNlvsD2AzsBhmvwpJYsHHTkVo1E038Y5TwG8TJmgxkT/t8F69unKJE60Rfb1J4OFW+1qcOKSc6dh7v92qgsM9qYJoeNmroWDakeSp1ryeYzG0+yTeA2wvn0nyZ9iWIdL4lMsj72YThMsbQlXjpkMxx2k+vwkjK39GJ7HZ5L8dmzf0MQrXXE7uSDO2eAErWkY9uV8OdH2ZfBcbv++VHL7p2C99AI5aHgx+P6k5HGSR0ramWaNPh/W/VPyE4xW7Em9BpikaT2VVdEEBhWznif5Sli/mZZqWKl3Vu2dqmMzLvETNYnMC7Rw1amwLywlvdUawjVaEPYxLo+BjjEVZoJOSoOjwrp0394xLbSfaEv7XW9utUtVbl2i1eZIOBGrLa+B13+qMg8A/CuszwY3XAAZ3wEqfFV00sCIZPaLOeRq8Az2+P40edJI4DAdeJ6KL80lFxVjDGEveiussz0Cnym5dV2rMwzJ/1rg8FYYDRLeOvEaUFHCiA7K/BSAhSVtFxb+0ho4EWM5DA7K6M2mDVIaKAeULfgaEHQceu84y34KzEY5NGkrjbBYisGYyoV5Gpx59wFEmXeZMfwQowfVWYgMIJJbKJ/ZK1gRPDehxK2siKWsR2pL4p4EL+IGmH00jHtijjaKHTPMgJl+byK5UnQg1MiSsKETS+NQWruin5pS2zGA1Fz/pUgulQGQUuUFcyUH+wybcX4bAIAFFPisKFnbGtNKAG6StCbNwpYCIx8Oym68t+SSEOZUB/N1Qq4k+XVYeY/X9UjWYAUwvYSkDUmuK+kUkk2Zny4p3V+uotkGT4fX8yZIBDoBAMmN4LKkVwETpQD2lPTDRNuaYKs7A5h3FoYTSlIGUE1g9gxJKQUrJw+HsTZBArPDjpeksBUMHIzuVKZekXJOchm5tG/SOErMoWavXxv9e31RQkL03bfQjNjNvNgYvu8pKbl/4+wXxcFT8Fm9bJceImnt8LcqyFfSZ0scMgBAcgTQCW1ThtjxGNYxnoWDX77pj4x8pvd8is7pB+G1fQG6yz8dBRv6jfG+JQbsEDkpvi9hv5oNg2SEFEtOLWhZVDZPYwRmhflzGVxea0042HjHACLvHZ2FNaUGgfoElJpSWMVnDhzUelbBa0BmD2j2iFb/W2JQWmp3mKX0w0hL0R6uMaobqM45XGoQFifuRKD1XOH5g8g4fQLQexgchN8rNAPlEvD9AIDtSb5L0k5RmwYU/hldFuxM+N5tCAdQ5eT78P5yTni+DoDTw+9oZzbXBPaU6Hvfhx3vB8NgayPTlWeSiR2hB6Kj7FKNLlKptwAOqhhhXQufb8tz4Z7PoAPV/oy8A7ymzO7ZAFakGSqOB3AefE1HgFAWBsuHtl+Dk6aeg4P/loNZkVLlFJvPFJ2TKLf5anU4oDBBuUafDVIDetXMo5qSbtvCrP0PyiX05kNHeUkWlsWuadtIz71eBQbtTofB0WSAdULOC6D71+GkPSFfWrIzWUWBvUeF5eWDfBfeS44MzzeF9/9Uck3zm94PM8XeTbL9OxusYWl4b2qCFtZBy7k60jl5uQKrkAITWfxaq+0n4WCPkpLKK8IYSoORPAUHQY+wHYX314Cvy8PhNy9EcquM/nsgrOfcUHDdh/bIAGrnnMvFtg7t5L0LPvv21LCDv922eD8MUoy7Bt13DhhL7WOHfBPNeDS3h8Unkb8nqfKruQSUYuxXUhzcBtrx3VVB4+OSJpyicjDwxzGwJWKZRHLeBieknXc5TL04QSP8vt5ErTC+behEyffBzpXvkLxMw6xyVftW5d7SjHdpFVaCYd7J33x/28buvNcKVbVU4PiOdNmTJT1CJ6lIaebRsQJPUJhoB0w42g5BGf5USiIA2Gl0HwbJBVvCczB17d+r4YTRY0neJCevTVQIoJMyjpJUVF42SM16ugO2sdqBNcBwINVnYUz5ZnTggBz4UAj7fxr7ejLs7OxlBJJ0B82slJLfA7g52BeCg+ZuafCKBC5Rai83TPBx0sNIIBkAMFMpCWldPZdE0LAIH6PhZKK+QMfB4JywtgiAJWXSijmRcHyz2/eS0mdr5nwN5nouBnpLn9Tq61vDiVF/RQiYgZmtRoKCgl74EYwGk+eCKt+NKEg4yPtar6UCEie6RjSPWI/PAtZJr6LJXbpwuF78siVVST4wa+4KdGBOs7e0y903UhqUWEtyU4PNvITkWxQY2Ui+GQ48AzzHjgl9jvhQmE6kugG+F/PDe0Aj0+GyxTkpxVEB4xCXwPP31nCW/SrVKQsSIzge2dVB8Jr6TfSZdrJKsS+8FisPci1NptJgihsAuCbcl4nksRqsaoxx1JzpgPHcxRUqNod7NzT3aX/i6wDM09LLpqI1nzkakzAbvJdsYPggS67W6HD/hBP5c/p6jR+s9+yTq9FNBvB61VWP/BCsz5YE1PSeOc19pv2/5yoEUJN8H0zokZNSPKlqz4LJCUqlODkDJjxQZq8akjAnV2ZZZbzLSH4ao1UuYhx1nZFPRV+HdOBp6XwbJ/D7pyTXUlmlpk1ge/BWOoj4JACXts/NxPobktT6q8HsSP4Q3mMulpQMvpO0bfj71v6fNSFnwMHqHwn29+0wS/uEXUAnqr8XwIIk43NoKvKBgBcjk8DdFtbFXmwM29IflfQYyYVh7C4l2wF4swZVDb8Mn8uxfTMuo+mPYb99SSLF92DcfiPYN7MVbJ+MiKQrAFwRPX8QDn5Otf0cyUNJfhvW5w5t2390RY7XwmdIfH6PnCGR/EnlQcMAcFHQlQ/BIOYgR/ZSo3fW7p2A8bxpsI6zHFsxEiTfIemKHM7RskeKE5kj+SgcA/QjYKJaQxsvfw+sM70GTgxuZDpc8S0pNDFCSi9L6eDFfld1k2EAwP+lcCdJlzBPgAgAR8Dr5OV0NaQN4OSDlNT4qmJ8dQqM0eaIDZ8P2MivAmb9e5h0IyXfgtfoEBN9WyL7OIkxZD42B3yvb1eiUlNLxpn3E/I/ETjMfObkVGQyJ0tAwkh6gzIj+R0KsmmjcRwAAD0AZCO9C74SBG0A+DcqzRiSWojt63kYTbUdB/KOE5AM1IExNQuzN/OuxgBCf2bvojBjYTv44UaSy6qsxMcX6QzRPTAoibt7R/vFJW0c1gJkVrQcwF/DDLgmHIzxCHzNu7ILY6BVcHDyEEilwOSqCmZsWGncmgUZjkF6ASSOl6mzWNe61oCldn24xEpS8WoLMxT4GM1wWlWDkrUHhAMxZdDE8ryk50mC5OwB5EvR1H8UNuyarN5rYMUhJTWMPcCA9TIOCEyyjLCcRakxip+kg3AeQyaDLJKi/UXSJ+kSnk1g3bGSciyG+8CZ2X+Oxv9TOAGhLTUsyS+Dz674d+cM2JoguSI2Eg5Ycv4Bg1iXhefvhufmiLAuU69UOf8UbFyllL/UHKphai9NSGh/d+wwyo2/9/6NuV/UBE/dBzP//DHzflbCHvFpRWVmWu/XOGRikGgKXD7+DqTnxaQYdJCz8ucH8ABs6LU/U3I+Nef0b8NjtvDISQ3TQiPF94VmwDwFHUEnCmy46mEy5SCb/UqSe2O4bF4Xs1txYBYdiLUFDDT/CcDO8D76RlgPboCvzeBgkcPDGK5HPtMTqE9A+RRCKSySyVJYkfSeOQF4fT8MNh0RtZuK/JpqSua1ncartvuPdJyJCigdUrOHV0kfQN6SUoOwOHEn6FonwADHwnQp9O01YI9sy2Wh33My78eyBgzsNxnDp2DA5tBIDAr/KXwGcJDVvLmOZYaMCzEocbmDpCYIZPNW8+LAnkJ9bzIM/uyU+PzL2ud1kBpHaI0uUlXdQXWsa7cFQO84WEf/O/LAxrrwWtodgzK7uWC2/0iaEWy5wyUd2VyXhNRkT68laa+gHz4KO/SuxIC5fUgqz8lSm6+YUS6S0gTlGn0WqAO9aubR7rBzeqikW6at4LW0duh3LnQ74V8F67QlZbGL2xbc61fC+nODV10As8RkGfTDtb1cZiYtqeSRSlYZAaBZl+iwdEsfurJDH+plf44wr0thlqrp4fn+SCfrNA6sOQHMTwdnxwwYr86MZTeUBySeCGBHhWoCJFeH9/QcxvANeC+4P7RfCg6sTAX5Pgzf8yMCRnIt7PiaON/opN3PYbSKwD/h0oYpqbF1hvTL8J2rqVXpIkjRfjgO7kpyHRgXnC187o1wInZq7RXfE0mH0OVXn4YD0r+gTPnVSuy3LY8CeH3H+5NIR0GEMU9G3tY4FLZBm711QwBfyrQtTtAA8Lf4eqojUSu8/y86iEuw82BdDCdJVu9bQNUeU8NgCNiRvSoGzss14cDZpzBqYxffa0Zs312vBZk76BMvC+3+Aq+x+6Lvbiqa/EAtdvZg0yZFFYl2sJOr9LwuJREAjCfHSY4H0CVqU/IfOuGo+c7YYTmBjwSn2ycxYO4tkZr1dDESgTWS9mi1OwaeO53Ot3H2iRaWPAkmoMglrv8Gw0n4zXmQ+94ie1l1AWU1lZIAE9UsgEGi5sYYVGQ7DsPM+J2BjnGndDD4dvB6WhxmuzoaxopiqWJVRd2cL8ZclUj+Vr4iVZW+LukjAEBXStgADrQaqpoQyYUAbkK/I7mpYLM4eyrYVM6fWnwW8Bx6CP04XBV+qfoknxq2sdIgsVqSmxps5mMATgw4I2Fd52PhnDg49LcgbLPcI+mfdEDybrAvZ0hPDnrEI3BiUI2U4qiQK3mdFT1/EPnk+ZLEiHF8yxvB51m22o6k28Nc+LikLXLt2sICwp8gO8F2WIMlnQKXSheGKxcVY1XMBOtH42hjhzVnOmA/6pXBBic8N9sBRkvDdvdLW2OfDgeBx+MZS++u+Fwthtp79qmeiR4or2wK1Pn5VpK0QzS2i+ig+JyU4klVe5acMLc6nORzUtg3X5JpXoNJrkyyCCdmiziO3cmtTZBrjKUOJcCoglk3kqL5pvECv3cCsBfLklt/DWAfmlRwbdhu/g/N1Ht4o2doPOK4GszuaHh/OJLkWXBVyl+mGpLcAcAZAddqEu43lDSCdUi6lGYFXgHWB3eCcZaYtfjPsL7wPIYrUk7HMPFG3O8Jmd+RkuLYCzlY+GyYQAAA/oJ8FURiEMsADO513N+EjUDyNfC6u5JO8O6KwVtEoVpagbxSrs63vRxseSlayap0xc896CqvqeDQ9aO2MZ5zDaxz3wzjxR+UFONFr4PPxpdimIxgOvKY760kT4OJ/OK1l4zvkLR/+PesgKHO0YGX1+idtfpeSYzEGrB9mkpmaOMbQ4nMJWNQQbUG2e98CskPq1VJvkc+Hf0/Bdb12rZerd+1pHJrktG77z1Jp5G8Hd5XCOBDalWji6TYVyVpyB4ieQjysUe7wdj2LrBO8g4Mkn/b8iiAu5RJzIik2c9zGENqzF8POuWOdOW26zt0p6p5n/qy/+8PWKF9O+ykWSN6rABglo7PzQsHFb6teWTa3Rb+3hm9dnem7UowgPVZ2Kj+FIBPdYzh9QDuhA24R+AJ+bqZcE0WTj0ybe9IvHZnpu0K0WNFmOkkdy12LXmt9f4csLOn9vfODpfZS713U/h7Ccw6vDyA37TarAs7Jf4a/jaPI2CloXY8ByZeexsMbt8PZ/TeCxv47XaTAexe+X03hGt3R3i+OFy2Ltd28/A9k8L/N2TaLpJ6vIB5OR0GPJ4O/0+P/n/6xRgD7Dw9vfXaGrDT5Y/hb/P4FKyYxW0PC3/PwyD4dOKR+L79YOX1WljJfUXP+O4N9+Hu8PwVAM5LtLu5mc8wCDQ7gF/19P1jWCHbH1bgzgFwYaLd+iWvRffwPzDrWue9G2N+XAo7hn4R7tGJAL6aaPcxeP9+GwZlnLafGWOI7sE6sCH28q5713o+qf1a9N6d4e894e+sAK6YCWO9MvFI9osBaBs/Hky026rrken7F3D2b8mYz4JLFs2U+xX127vXR21/DjvmO/fjF/tRs1/ACvNk2GDcClY25+uYF0+Ea5Hcr2An/KWwsfTFMO/PhhXU7BkUrtUUWIkFXHrlB4W/d572OKL3fhSuwSzh8UkA54T3Nkm0n6nnU+jzDhhkbZ4vhoSO9ALuy+2IdBzY+XR7pu1ScODIpbAxeUW8tpv1W7quo8+9Fwb/rwqPh+GEolTbBwDsCweVtt/7zAu4zl8E8P6ZvZ4qvn+5cK8ewfD+tj6AeWdC/6vBTM0PhHv0YO6eoGIPH2McdwOYD4PzZ004GSbV9lg4e7evz1vC32tgG2b+jt92M6yDxfbTfR19P4GBfvG38PxvmbY/itd7WP+n942/4PdN6hpjov3t4e+90WvXZtr26nvRuk6t7a7rPBkDG2AB5O24Yl2kpm3H9encP0ObaXD59r52U2GHy8vgkn65a7EpfK4t2jXnKu/zz8Lf42CmPSBj/0b3eqxzsqPPqr2+su9ifTa8vxLs6HkNbC//CK6s84LnEWzfLBces3e0Owp2IvwiPJ8XwK0d7ddIPWZC2+J7HX7b1rBDeOeee3Jjxf0rwlzgRIV3wnrvIrB9eECmz5Pjewon5Xwn0Y7wPr8CgJeG1+bLrWnYITV79Hx2uHRf8neFef4PDO+JdwP4ZOYzV6ID/2u1vb7ktei9FG7TaTvAzohdYL1reqbNwRX3usbWSWF8yT0ZhfshxsBdYd13HgzrAjl7ufieII0RjLwWvVeK/R4JY4BHwGwf1wH4Xke/X4dt23fCDoAzYZadXPtlYRtnZziRNjs/4b34R6H9enCwWqrtdbBDY8dmHXb0+96wvh+Bg1ne37VmULdvFe0xcFLZdSjHzM9HhB3AgVI/mgn3+o7W81kA/DzT9gYAa0bP3448hnoPhvfPDwN4oGO8q8DYxG/D8+WQ2G9Tawfd+NOt4e9dCPsuwlmVaHsjgNWj56shcw7B9vF5sIP88fD/EjAevXqr7b6wc3Eh9OhwtesJCRsawXfTvndd8zZqt0z4u0LqkfnMftFjHxhbn9LzPXMVjqfIXob1ql3gQO4fwvvFrJm2jW/rbjhpG8j4DcJ71+ReQ9CNo9dXgnWih2B84Z6wDucCsFGr7V1wEGLvuVDzqJnzlf2+Hd4zr4Zt4IeQ31fauvpD6MZmtoCD22+AMbu9AKySadtrV4V288D21ekYxsqyay98rnTvHJnjffO+YMxXoge/7Pk8u+ZQWJvnwljnl2AceMNM26/Ae9EqXXsAKjFlVGAzrXs5cq7DAQiPw3v3HTCW9Vc4mTmLtcPBk03J6H/CAS0zy5/zNdhenxXA5fAZsUWm7Qtel5l+z0aHD6fV9hIAsxW23S/M0T/Btu9jAH7Y0X4ROJEFcKDI3Jl2Rf5fpDHD5jFiV6PiTI/azA77CLI2eBjv5yrvSdG+EtoS3hP3Dc8Xglk6S65HF75QdPbBgf3nwkkx6zePnvn2a3gPb2yHI2bCPL4EThSbFubSPsjEPFT2W7tn7QfreA+E569G3i6rwSSLcWI4GLp57BPm9okz4Vq8ArZHLgrPlwWwbaZt7Xwr0k/HHPcb4H3+/jDf3hKuzcieihBH0PdaeL0a+4XPpx3ghNAb4GDiWVttUuPKzYtL4JiHI+EkkFd3fPeU1ji6bOrFYaKde2AfzQPI2GWoiL2AEyZuRcBi4ADiy1ttZgl/94Ljvz4fHrfDhE2pfj8Kn+tNv0vBSQ+533d81+9vtW2wpMtgW+u1aOmoCHtueH/k0Wp7asfju5kxrF4y1o7+k/2G9neEaz2toO9ivRP1e2dxjETNA95Xvw4nEo74iUObZPxS1+8Ln/tAuHZfaB6VY7u69bzK7wqfdXPAeuR+MGnDEq02FyBhG8OkPBd1jK04TrL1uWko8FVF7edFT6xWYT9vDr91T9jG3wXALjNpDu0b5u8B4XE3gM/PjHnffvxPMA4rZE6SfBcGdNJLwY6bZEQ065iA/kmX11P47OLIZ5N9CTbApqAnGzPIsTBIemXo++2wU3LVdkOmy7PkykTFbHPJcrHMM4bMjQxjCIYzi2fAgNBG6ablJQzDeGrYSNoyJ/K04b2ZdzL7yzkkV9Gg9HZSSO4l6WscsHIOiaRdJH0h8dETYeOjj+ng3yFj55td42jJfnDA+kIhE2c15Blji5kBVVBKiRXlqjRG1qnqMhxTMsISo7pMnaosZ5lR6QCSb4AZGa4m+aikXHZhKQX++RwtWZsrx9mMZb3w7/50GYF5kC7P8XmMZtDtk3it+h62s0OjflLZoUUsSpKa330N8uu+PY6HkF6vi7Xa1ZRrvpjkJRhm4MgxMRezJIfz6yg4iPT1YS59UNIXE+Nfc6SDjKiQTUI9TKcZ6c3Ui86wuQH8nGZyizMGs3s9yVUxWsasnd1fw9T+vo7fkvr+4rKAITP0SHgfFuwY3VXSo+22NfuFhksM992j/XveB6xrHAXrPu+F95XvA9i8pU+0pZTJPCXPYpCN25YdYOBjP/i6XY7AXCDpjHbjcDasADM5CB1ZcjRr9oYaznI+Q9J7Wk1LmBba43gm9DkVNtC6ZFZFZZolPUCXC07JWXAm9/FIsHCUrufE5y6mGcGWCS/9UvnSaksrWAuJfr7a/M+6UvRARcno0P9ISfLUa+H1eeA51LDGXw3rkhPMZpLuBnA3ye8rzxZU3W8kpeUtq/bwMeRfkv5KchLJSXK2+lczbUurOxwb1s++MPDwEgxXHRkSSb/jcAGMruuRZWNrJDpH5gHwi3COCAZM22WMms8sCgfoTMPw/j1y5gR97G6SC0v6bfv9hNQwr/bqe2Ou66bs0ivYX3appmJDVXUHVrCukXxb6jW12DHD69vDrBfPwfZTU9kkpf9tA58lX5L0ULj3SVZg1GVPn0fyl2EMOwZb5AWdkzk7spG2fjHO3GB5CbGUPptl2pLUlE/9O3rOSNRXCeks6RZJDatNY/sVSU1blN3r2WEgdlP4tx2B/qoxl5L8MBwcl50nQUoxlxoG07fAZSKbfXBheM+9F9HZIEkkfyJpgqFJZvvNYUmnwqXZGwaT9ZDRaeWKWIeT3FnSkZn+2tJbUjnCLG4heQw87wXP+6s6+r6NZkdqsIEt4HN+REgeDzsg/wQnB24A69kpOZ/kXJKeocu5rwCzBqUwipSts1vru8eprFS0HypirCP5Cgwqi/xC+VJ3MyQ91dIFhub0mPekpAR7038N9ntb9P8MOCkpxdLcyGdglpxPwOfTpchgNDSO/BtJP6dx33eR/ENjn7SkmJVE0uoBP9gGnqe3wOxPqbK3W8PO0+079P9x963SPaaYwTDINA2q9QADxtPUuHvvNcdj+56rwewBQNJVzJdY3hxmirwKdjrPh/Rca+QwmOHr3ND33Sk9KTCLa7oAACAASURBVEgN/vRowDB+Alf1eAKuQpCST8CMQ/PA1+JvyODJMotkrtRzuzpVL/tbS4rXE4C/kPw8rOcJ3pNTZ8+VJLeD7fQuBthqNtWA5RQJ6yuxlNrLR8EBHk254y3Dax/DqNRUsAJ8jkzYRHQZ5sZeG2L0DLrh/zVzqLWvtVmn/yEzpCL0OwsS+iozWPLgK9VmYCye8zWYHTwniioOjKGvHwazRB0N4EpJD3e0PZVmaz4fHXM54BNPhfXxmKR/hDPnDSS/mzpzKs/JG2Bdpe+1htm3pKrg/onvyUrLjpoEV4fKVgpTHdtYadXEKkwZFdhMe+5zlGVzOxir+1tYl7+GAzJv6hnDt+By92fBv+8jcOJHUiruH1BXoae4kiXJ1eD5sQhsHzZ7YeocORjAnSTvQ7+v4WEA19P+8LjCzDcSbTeAg2DulLRN0IFzul4po3qx/3cMzDA+0wEHR22da0zjuTtigK1fS/Lotl8gjPfdAL5cMojKfQXwOfaf8P5BMNbwbQxXMhznepSefTWswEBF5eTKM2dTWHdu2EuvQUd1AJKLwXb/KvD1uxEOSH+w1bR2z1oPTlK9AwAk/YGuLJSSBpMsKQVfjBOrjtGxhhn8ZDgJYJ/w/AEAP4D1tPYYaudbqX7ajHle2E8WjzmFi94O4Mkwxr0jO+7msE+25d8kN8egOuWmyOPxtdhvXJ3yTgCnwfvHVnCyVSOTW5+bhDwz6APwfFsStvUeI/nXjL16QThrJsNn/99IXiZpz0Tbk+FkvEPgNbAN8nE5NbEXO8EBfjcDgKRf0fEzsdwCJx59LWCzbwUmqhreirTs0ur3gXDm5OQt8Ln3awz7clJxOl8Nv28veL+dGv6fEEm3hL+Xd3xn03ZLmsF/J0lH9LUP8gG6GsazcPzaG+H96vup/gv7bGRD2DY+h+Sz8Jo+S+kqv/tX9Fu7d1ZV0SD5AYzqWam4mdPg37Q27PfYCqM+lyZ+af0whkYH2xTWe1LffzSMO60Jz/cNkK8ICQ4q4ALWwd8UvmtCUn7XsNctJLMho9W+wT6fQ75azO7wGt0IAxx2RfjsWzs3XnieCV4byTjJ1u9bEAOds8tXdS8GtshkOLA7WR0g2I57xv0CWX36AHhPfik6YgijvleEz7J236lKepsBWL7R70h+Bd7rRmKOUD/vh+R/InA4kmsAvDVMwsth0HdjjJaVBepKGNUEZb5M0loVY64BIB9EYZkolZWLvQHewObHMDg2HY4iH5ESZYnjBSQD3rDfjOAckHQX7fBNfUdqYY5sqOHwWlLS+XCQdd/41yP5M3iTuhg2DHeTFBu6DbhwW/vDPfJbZaj0E3IDyW/Bh0FswCYdTpIuI3kHbIQRNj7+kmn7MMyw3CssK6U0TrkqcDgYeH44A/ehRLv94ENgaVipnxU+9FJKcS2AdDJNyz486GjTlnR7+FvjRAZ8vR6D53wuiAQopMCPQNGSkrWNMn6PQrmK1PhJvgcOGFyQZAyOTEV36bMioyZIHOw4BT7IcwBdY6j8MShNf4ABhuZ7T5a0dfh/K9UFuMag3xRYmXxZol1xuWZJe9LlsJsSVMdKypUlqQm2Og5WJo4J33MPXQ4+dYjXKJg1RnRRsDXrgoHPhbN6r211uQYcbJUUlpX4QNjngYK9XgVJES0pKgsY5CQ4ALcpvbJFeO3dHZ/p3S/CXPtqeJ/oCLYs3K9ml3Ry+P9+kp+GwYfOQEfUOWTihKdJ8NxLlisNa26TgnE3fX8BvsYNiHcSybOUCLAHsEDsIJEDjEauc3B2LwmfN0R3UG0zjpqgtnbQyebIBJ3AgRZHdX13+P6PpF7PresgzW+cgu7ArHNaYB6QTlirKWtVnIDC8cqUnwgb6U1S25bw+ls/0XYaydKy7TX9lpa3BFC3h1dKjXO4yCDUIHHnavQn7vyOTvoQHdC3C7rnxb9Jvh+D4OyrJLWTnWpKVTbyExhcPQ8FRjfMZPezcJ7FOnjK4VRTbqi45BFQrmtVOkJrdJGqIHEMl72bAYMzuXJXMaA7Bbb/bkfaZvg0XI0nadfEIunniMpxBbviK5nmpcHykLQ37dh9OszTZ9BtS5Wck7EdeQDSwZtDUqPDBektIRb6GNFnw9hz46hJZi6eR6X6XpCiksMkpyfGCiR0qJq2kXTea5KnwAmsF8HMm/cl+kjJp2CWvhkkn8+MtxZzqUl0eG/hOAHgJpIrdTg/JkTSl0heBDtNAGAbSXf2fOwxknNLmk474VYA8MUMLlISkNjGLOK11xWk/QnYQbQLfD+uwSBQqy3zwRjVk3AA3l+UD6w9CtbFloMdNyfAc36NdsOUrUNyt1az2eB1NguG9+WnYSdASor3w/CdG8Ln8VWhbVei7X0kNwMwOejYu2A00af4nnBQgn0x9pRgj6QY+1WiJH2mz6b9f+B72Kuzw2fiiiSXgJ0y58E24/sT/dYkaDROxc/D+/ARAJanlfjPSYpLXfbaWi9g3yraY1QRbBnkKg6CZQXbi1dm2vbea0kHAziY5MGSPls4hgfp0sBx4sAIdhn6v5cOmjgVxtbfpnRgSPyZ0gCKPemkktXQgz+pnEQAku6C96Gp4fnTqXbAhOOrNMm9KohSTrBrGKkFs2znsInSwJqGJCO+1yO2uqTtwt/iABHWBdXVBIgX28swdrlc9PwKkjn8e1048W132F6fBwk/SiR7ALiO5G/g+bYonEA3F0LSD8ktJH2Pw4kqcaBjKgjvapJN8P674T09lYD9TOK1ueCE5fnQcs7WzHnUYXY1yd9V+rqk+Um+DrZ/vxTOyfuVDpb4JxzMsg8GZ2NXIH585pwAz73kmYOCvZPkK+EgyDlILo9hbGbOzBhKghzG8bcUJfkEPGkHODj2XthO6QqWL94DxsCUa7CZPj/K/6PuvcMnKcrt8XN2ySBRFK8kRRHwGkCiIoiCXpIgORkAQa5cJIlKUBAQBVFAUTIrIlkkKDkJC0haYMkYEBSugaDCFVDC+f1xqj9T01PVXTULfv29z8PDfmaqe2qmu6vecN5zntdAlv53JH+pftBwM+9fk5wc1tYpJJPN18GKrl+w5plYB74eTyVyiY3VEAkUN+XD69KhKMvb/2/4bxKG/eWUlRL+AGVgstiK678k54BjxEUl7djkrqP4oDm2eE8P9kPYX2kaNbeEfZhNE2Nr6tU12AugojG4MofaufeRPFTSF2GF1nM65jdkqqtJFu854dneteLcp8MA62YP3AL2mVeKB42xZv1Tkhjq5szjVWpzklV54pZlieNo/MAH4P33YjjHfT3SuaTXSjqbbiaEpBdJDq0vOf+msYx/A1QAv1kHrt9Uo2DwZi6pukQxcRzqcnY/gYloTgWwnqQ/hrfOItnGylxB8gy4eUJwPuXKzHfYJZx/Hrip5VQ4jpw9MXx+SU+T3B5e978CYz9SwOE5JF1G8nBJvwGwH93YmppDDfaipAluYhMMsX1vvgze3+Pz5hq/G9uw4JzNHJp78g4YbJk1kivD93G7aWeoeTfkxzeC8w8ltrakvUluCO+l/wnfEyPAYbqR+VMYXet3TJ04XN9DABxCcmm4UfhwJDCMNX7nGGvna1FImMY60G4v4V7zvUgeJCmOM39KMofdea+kd5K8S9JXSX4L3Q3j04AJIO6LcE5k+8zYK2h82UzwGvc4yWsltePGXgxKiL/eAa9jDUnktXAjbpbYRWU4yea9Q2HM5X0YrkmkfrsYrPwigD91xBgNOdgJ6PdlX6eImKPAToPXvhLf92H4Hm5+r1nhBtYRG+O+HzKqlwDlX2ckbw8O5i4w28FhJO+QtGxi7K2SViB5J+yY/oPknZLenTn3AhiAMm9SpnhJo7SvVprdITX+PBjVHScgl5c0suiTvK71wE+8RvJeSUmUfDT2diW6TejOtP/VAGk+O5wEfDgxdgF402i6EK+HGdeejMYsBieUvg7gS9Hhz8BAxuQDRPJmSSvF1ywsWCMFi/AZjXU+mCSvKQ38m3uA7lraEA4qrmkl4sYykt+HOwXaTAcjC3FIcrVN7QQkMyy/0QGpQLOYGTAkHD8ISyIsS3INAFvmNuhSYwQGlrQkyf+AO4BGwMDhGV0WljvpvC/CezFg40UAD6cSSGFsvAhPFNQlfSEaE4PUhw5HoqBGF7M2h8HsP4blau9LfX5iPosDmFvSXdFrKed/wlL3T3TsaQD2VoY1LyT7loMd7DjAfgZex0bWuVxQ0743O+Y0KyyN0Gb6BMn1YFDpIhiwKH1VAXDfWhuS61mNkbxe0qqt1+6OHQq6+DU94WRMhqWCckzSMzKvZn+Kv29yf8o5mJJGHLZcEC0pWUQO631jE2BrRYzqdDd9Fgws6aRo7M/g4uVQYwrdGbW/pCRzDcn7YdmVpMPBSta+cEyyKSK3j9bcb6lr1XH9itcLunt0/Y7kSzx2ZfgZWhoGEEwG8HcNA04egJMXTSB7Gux8E8gm/tqfszpCQUbSP6PX3wLfF3Fw9mKYx2MhmGufq4q1NtwXcZfc7PA+sXRi7DQAH9OALWcxAOe1r2nY884EcHZqjpl5/AqWk+wFtYX1b2cMwFnXwVK0I+BkkgfA9+Z56GCUCfd/Y7PBibrbO57r4nWA5FEYbVj7I4J8jEJBq1mrmr2ZLqRdlvBZihUKwvhdYWDmf2AYdPc0gBMkHZ2Yc83zdz3s0x4BM2dtC8c2IwC+yvN+A77Xf4Lha5fyyYrX8FqjE7sN4KxJkJ8W++yJY4YCwuiZqU6a0k1hRwFYM8zhcrixLfn5NMjifRgkjLaA5YWzTBUl1sQXFeNHwFrAWAXNrs9YHC1/r/V+la/FhDKHEs14/wqjWUgk6f8qjlkEwGGSRhLqJC+FJSKfLThPMSNRK5acMCVYPmmQ3KUqAy62j03uk60xyXxFa0yVD9dxnmslrR7+/UklCl5hDf9h6nqE94v2hlrr8/daY7cOn7scXCzYBJbYKi72vdKWutYkX8agqBp/r64CeennVeVcSK4AF+XmhcE288DPXRZokNsTWmPug5uRHoa/ay5GHmpqLbXIt1gV/q6Hw/FEdl1nYPCt+ZzKOc0PYOHcGh6NWxoGiu0OYLKkhRNjmhzmVxBip8q443eSFk28vlhqPcuco3g9DOOnA1hLrUZbJXJmNMhhXwAfhu+NywAcpG51k665zgPLAI7c920fOTqmOPdLszKeAt/PhPMSn1SmSZoGbRQ1oUXX+gswCOW77fWf6caMCVO64PRO2IddF5YePUnS7SHH9gtJizV5Dw4aJBj/vxUjjrVula4xrANbNsdshEHDwXXKgGVLrnVtPBKOmQ8GuzS5o+vgPNUIYw4NfF0CviZLwoDRoyV9LzPnH8NynEfD/t7n4JpAcUNtzkLOaigmz6zjKf/+b7Dc8p2tsdciNLlrkKu6J7W2sxDkFI3/ACqevz4L+84q6mYNbx8zGX6WFsfw75aKdS6HwVOfRwSqkwFI7bGpesf01LoZHdPbREgTiGza5C7o+s6PS/eQPgv5i6WAiabq51vvf0bSccFPHTElGgXCddkew/vCiV3+X4gvdg3HnQ3gW9EelCKEiOcwsjdUxvYnw2th3Pw9k6SRpo5af50G9r0Pzp++HwYb3CRppBGVBnCvpIK8Uxjfu+dEY0vWzk/CAI7lYfBLk0d8Bma5T9W2pkl6D6MaTisWae9NE4diBv3kcP6zYGDqVPhaPCyp3XDVjK3Kd7A+p1ydm4mOHaqj0KDjWJVti/hvJXLg4bjr4NzMiXDs9gcAn8qtQ33XrzX2G3Ad9TkYODsvgJ91+eslVpPLyc1tRo2u5+4D/857wk1dd2bWgKG1ngaT3d6Oi6LxRfXfMPYsGLDzCblxZ3bYz2uvZa+HwVP/IWltksvAe+EIm2oYP7IX5fanyvnWYi9uhlVTbg1r14IALm+vWRwzhxrW23hffyq8fjecU7i5Zu+sjAFq9pxrkAZQ5XKBI88IyZskrdx6rXbN+jzsg6wVvud2AE5XpAQ05v5bnCdmhtFRCTWiMLZhBn9XeA5OVKLWSKuCbAzginCvrQzg0Hj9GMe/qbUw5wZc/24GcL2kzTPjXy3SkZK5rgCzyS8t6ergE2wEqxEdkLnWk+HmsAZQfjkyDTwkd4L9oBXgvek6AFOVwFiF3+2DsF/2FUm3MI8huhH2s86Dm8keA3C4pLdFY6qxFyQPg5vEPwErHH4WwH2S9o3GPArHeLnzpmKLb8FEkduGc+4M4FfqaHalG9aaGHWqpHsz4xaF14D3wQDDGwDslYkN74fj9aGmHUl/Sow9GG7AORPDDSUjuTIGDBvJ4wGcL+nijrXwLJhIc3MAX4Nr1vfmfJxwzMIw4c/m8Hp/tiLF1Ghcb908Glu7dhbXlDjIdTb/nwtWnRshJm3Wdbqh+jtwnfTHkpZIjL0fwLoKzQY0OefFStfMG7/lJviZfhLAPZJyisHFFvlCn4bZhvdPPasswKC8ksY8TvJBAO9UD4lYGHuqWrWP1Gvh9WkqBAOHteVSSVcXjh/BNyXGNNiZReE19orw91pwnDqSd6q979v278Y4TFr+aWsMUO65OdYw5jU3UUMvviidsH4ksdHtDOALLJRfhp2ur8LgggZEkmOUKJaJYoVcLJx0eW/090swCn6FxNgzwxw3Dn9vDSfKJsBziiQMM5+XsxI2kibJdJHKi0413ZDFHbIhgPkiRgOEXMJ7dhhAEi/8QqKDQ+UsBw07y2xw8mY6fB+9E+5uTS0aNcyANVJKSdY9AHcrJPQiq5E7Ke5wDOcq7vhUYBOO7Aa2OnXQTXWfssVgluo7e0cCIPlDOIk1VdIDiSE5GUAgc/9E1smaJzM83UHyRyUbYrDajuG2ZbtD1c8YO3anCocLQ5Pg5yV1zxXJP8oddc+SnEcdzM/R588Kr5uLYzhRkQrwnqClTJt7fhPk5S1qusKK5bXC3NpB+5E00C522jZAGgz8dxiQFyemFk8FDZJuo0FUOeuT+KhlfwdczFwZraaIjvFFsoDBnqClhpt7aEvk2fZr1os/qQA0HCwlQdd2+P+A4QD2j9HfQoekKs2K1hRvp2oUDHUk8iDxI5Fe16pYa1HRJQcDFq6P1vfVYKb8tn0UfubPpovmZ8FBZrL5IthvYImdXguJ0qNhVYyXYTaZJJAMA9bSuGM6xY60S/x38E9PRd5q1oFllehQVWhYi14vlbWqUijQeDLlz5FcVdL1AEADCZ/LjK2Rba85b6m8JVDf2VtsGgZNdfpGuYAQA4WJxvcqZb+CXNRMqb7kbH34nnspzOlk2E8cAQ7XJHnge2h/OEnZCeQOr1/LYQn2WxJ+bDOPGkkgsFDyCBW+FguUOZgpgEbzTSUsa/yWJll5KoKaA8knYLBHCVPhoxh0jLdtbziWuxnD1y+VLOxlJCI5t8y680zBvBr7sqRzaODiR2Dg4jFosbhEn3E4gJMl3ZdKDiasxL+t8uHCPPokxHYlOauk46Nj5oTzI137Xu/eMM49hwpJN9Wx2rzixnSR7O7w/7lglllImjTm+d8HF6T/HnzK5QAcGfsjtTkXVTCYFuwJsZUy1r9Mcnqczyq05lleF8Axki6gm6tS8+6VgueY7EF0gbGXLSOMXQ/2k1eDQa5XY7TJsrFnaLajbQCsRhfYskyGqallXn+W5DdRAM5UPZvEpNa++CS8xoyY3PSxb8ghSdLI2ltzTTSGBDsqcr+okKQPNgWDJrQ1EJrQMmNfoJnCP4FBLNS+1uMoKxwNs5fsI2nCNw05tv3Cv1cN/+/148ZdtyrWmBoGw+bcP0GZf1xyrcdRTHtjxu9I2T0APi1JAH4bfNZs0Rj+DY6CmTwfhf3VneMBzDPie9LpIucu8L35JwzYZwTnitu2fPivYX1dFwYG7kQr+hwWjZ1DLtDHx+fYdabAPllTb3gUzk8kgcMoeP5IHilpN2ZA9orA9WHfORx1tYmfwvmFEtaeXuanyKoY9ljOQrcXgGtIPgSvPYuh9fx13D8l4MxYqeidbCkVSWpU0opzwjJT+wnhv04L/tYecEx5Ciz53Absx8xXIx+HdP65JmdXozhQ669fH/13tLrZye9FYd4pWMme01jv2hlqLaeQ3FhSTlVmZA7h/0lVwZq9KTamCV4a9ZODo1z2MgokIHRTR1btB/X5jqqcck1uJmHtOkqbVTGnYta2neCY4gR4nV8Yg/puyjqvX2yqVOhhuZLlNcGf7W3KBzCNVhS7sG8sC5uY6M3u68G/PJZuas42gKOcUb35vNL6LwAsIWnz8FxD0nNksmj9A3j/bQBsv4T9riRwGK4LrqzQ6EVyJWRUPCrnW+N/AwZCnQfgdTSpwCZI5AJRmUNlv0rgpQCeADAnyZiduW+PrIkBavacItWoyK4h+SUYsyG4pnFRk6+I6la1a9bh4R5+GvYDviLpitaw1P4bNyiO7L+VeeIaRscaZvA94HViCZI3wIDkoQafcfwboBr4/byk50ki5OUeIPm2xLgsYL5jHr0KIZU5u+MArCmDhleDweS7wErPxyOhbBRy+9/FgM28y+aDfatbla+TNfY1mGn0+hCTvBkZJRg4PzwX7MN9DSYpaxMUjYO9+BKMP7sbZi+9WFLbr50cPju3LqTsC3Cc+gAcB1wGM5UmjVb5+SwGinFnk/yepJSfeia8bn0S/l5bh9femxj7tKTs3tWyBigbYy+EgZpkbBeTvAfO8e1MNxLkMClLhj1v3RBv/RD+PZIWnuXXwLHmxyX9smPOJXXzxmrXzhrSmaam/Szd9P0kgDdlxh5M13z3xIBwb/fM2N1h1aaGpXxxZFh2Afws7NXfhGtwQkfswjoM2Ewk3wCDufcdPcymMgzKWMY6nORDcKxUgpMayo3TjWLvab3W1A1+SvKz6CEHC7YDgM+TfBbGfDa+SK5RZ3+SJ8JYgxxZaYOdmYYBGz5gBbmc1WJnhuzfDTi8G1xcPE/SvWHTSHXCQXUSRt+Hb6i74Av1n+HfC5DcSVHnS22wGxIepQnIXpmoyGrkYmeKN2SZDj8n7Ti/BrT9gBesJCU+K2TVg+0CLyD/gB3py9CSngrzqy06NZtfXOjOJYR/SrMwPgf/tgtisIC3rUl4r4uChLcSnag5Y2GxvgnYSJ4JYEdJd4e//xPDgUZsb5G0KckNZCnG05HfdGuklLaHE7LNM/cBADcBWJLkgZJiIFMNGPhskscBmJcG7m2HjgQjXag7CKNsY6lkel9BfYhphwVAkpAseVdw3ACD6nJScYAD+lVhic83w0nh62TAVNV9k7DO4IbkGTKb2E3NtYhN6U7b4qAmfEaqOzQHOknJWvwNwG2SLgCwcBjD6N/xfLvW0rgw1MgobNYepIRcszKMNggFBZJXYBiYnZrHBeG7TEO/87EzHHQtRfKxMNdcUN0UB0sczJoguhRsXQMG7ipEj0jPcFAMeg06JD6UZsubBDMu5iS5ipsigtXIAm4HByBHhDE3YjQobb7Dl8J8s4xukUN+G91teT56WOvD650SdJUJvwmjWWB3wCBw/hHJ4zUM7BwHJF6zNwH+De4Nz99El1yzLsTPoaRLw/3cKEfsrgRTS1jvDwNwGN3A9GXYj+mSBioGtdHJ9mNhsDEBvInuYr8kMZfcc9xnzyIf7AJ160Bpw1pK1urL7ZOpUgKW5AflDsvHUoFp5t7fCcAPQzANAH/BAITdthrZ9v+GC2XzwNfuKZhxZ8Qqn62aNbzIOF5xuDMgHCdpGnzoHTDqyybXw2Bzw9cM6C7a1SR53gHg47DfHwMncowdm8Hr/c+BXgn2Ykkg1kke1fhaJc14VfFpsBq/BbDfsoekawCABnIdj0QSksNKAZPC/HO+8nEw6K4EwPG31HrastPhAkSuyJFaD4uBi8EeAHBCSBxNgZtRe5vMeqzKhwvWJyG2JtwwN5uk74Rn9mIAVzX+ScZK9oZx7rliSbdgv4ILWQ0QvxaQOiNWXSSrtGNgidl3wcWDk2BgfsyCU7XWs67RoThJKOkRJljPM9+rs6k1Y4+FXMCaAA4NeZIcsLFECr66ESbYPLIk5qcBTFFgy8iMXRte24+S1FUgB7wvbAVge0l/DM/TNyvmlQMTFoMzWQcUBwobbcO5VwBwMsLvTfJvALbTcAN31zXJfb9iCfbK3G+VJD3qmtC2ha/F1yT9lmZ++VFrrjWFpuaYVFGuee9UINvsEI9LsjWXGMkLe87dfr6LwJYcg4kyc60vaY3ZMfj/+6mcifZYOkfe7OkpgHpz/iNIzh72pAfD/p9lwVMBgKKpM5A8EG7QPBWYYK3MrWW7wuy+vWyWABaAAZn/Fz5nf1gNaTV4v4uBwzVN7qUgp8ZKnr8mr1wKsr+c5MYwe1NJo9bCmX0xZcWgOhQAxFtW1EQY1p8G3EuYFfgfrTHj+GTNffABdMh+02z5OZOG60fNMUWgTxosuBEcT7xDGTWTMfMmqZxdMvcefs9vo7sBoLFif51uFLpcUq5207aXANwZ1ra+ZkqgYM+JzlGzTy4cvtszcG1mOQBfUlp5tQjkEHyf1Lxyfv0l8O8RKxUBjgt+gAEIqHlGIUvRZ043Vr6jKKec28PQsZcxw7IZzbUKeBzW0W/COZOHw2e/HsB3Q954WZlYpm3FIBWSn4j+Hb/1w8TY0sYIoK4pv2GmXblgbJGfLEkkz0cAgyihztuyETAZugE4NezA/6RZhpv9dwmk8zSvlXQ23ZjY3Ptd0tgrAfgEyeZ5WxTA/c192N4TWch6WrmuQOWNwbU51M8DeHuqBhA+dy8Ae5G8QFIW7J6wmhigZs8pIbmKrWGnbchRmgdwOwznJWrrYJCBwm2wcPx+8f47jr+gtBpYUm0HrpnNC+9L0+BGxiSwVlZmWR0D3+lBSS/EY5iuUcfnyO29NcDvGnB9LenICQgKIWG+d9F1toOjMTX+4eQoXtwcrpefC+BcmlV8xOjmyf0xmn9aMhrTKEU1yiyz72zjtwAAIABJREFU0YqkzdiRuq6kMzHMsv8Q8o0qk2CSkWfgugBoEHV8vmrshRJNcCTP0jBb9B9Sa2OPvUPSMXA+sDnv2mjFs5HtCGDFKIY7BF5fUsDhmTQMbj6Rxtqk7Gq6EafdtJOq9b6//VrOZNzFNwE8Ffam52FfP2UxSdHScDPsYh2n/4zKiEuauXTWzeN51KydrCO6+SlHQbsjuKcQM7xVJt3LEe7F3+3SEB8uFV4aiQ8jOyy8dy6tFh2TdKWsBgN2IFzbv17SrTT26VeJ71dK+DeO1eAkn4VjrTYId2K9D75V0yD2NAZ77j/hmDW2dt2gkxws2GsTr3XZtvB1nhnDNc+J/aE2bghW7TPE9m8FHG6SjtHfD6EDlBtuyFXhH/IG5btZHoYT+Q2DzjLwRT4IvgBDwTHL5KSqJehk6vbmgW8SQs1DfGRrbE031OMkPyrpwjC3DeBOu5RdQ3ILmKUYcDfRRZmxh6FQVj3M+Vm4mJXtPogsVXRSxsHfPtwLExYWqdQcajpka9gFwDoZ9tpi/VIKoOFwzntIJqVfUM4MCPi7Pw8nBhoppZzD8zIsV/EnYCL4bdi4rsMwA2IxGFhlHY6xHQk7HHcXJIb7CuoTxkIgCcnPwU5bF6gu/n5Xh/tmBXjT3wm+R45qnXdXuFBRkpxrzj1xP9IdXE+2fpNms6qROa7tGK7pDp0NXt8ameGNYVaF7emCdby5FrPM0oWhYyWdVXjIjXAS8mWYaSVnFyG//rVtYUn/1TWA5Osl/SmsV2vSgPpJSjAzRVbTFVYcRAdrg60fxijYugYMfCvJHVpBCkhujzRDwoVwMrPN0LU6DPAbshAA7wRfu2kA5iH5bUmp4ntNUwTgbuS35BJNsYXkdhcAIp7z+nABoqtQH3e+PosC1no4gTYL7OweBhfzOtnaK2x7WGbs7+E7HAoneeM1rgokHqxmbwLcIVfUJUdnrv8LwJslHUhyUZIrShq5/2lgcyNr8xIM2OmyGlDbtwCsIenX4bOWgNeQiQQAA1iWGakktcCyLX9yMhyYnt0+LrKadaC0YW1KCLSvRQFYKi4qxKaIvSjY6vBvm+r+zt37T8uyZHOHcz5NF8lSthvcsf852KdfAxmQscwKPnTe9hiOx2JY1dlbYhqvOFxa+JqCRPzS4ctOBXAlMuyvLTsMwO0hQCecfEgl3ZvPLE3yfAx+9vtYCxrbF8AKakmwwwCKtj3exE8FtiEM4Cjx62t8rd5mvMq4sLFev6VlcyqAhsNn/jw1l2CNDyd47z1dUu76vagEo2fGehmJJK0X/l8DMqgBLkLSiXAS9m1wEucumv3gBA2A1XEReQ4O2G1yReRaH673O8rKOmsCuIQuum0AA6M7iyQo2BvGvOcOKB3IYSbFlzAowpeCfWbIKu+fcezF8FxvAINPT6LlIOM51K71xY0OqFMd2h89rOeRjXNfbAb7cIdL+ivNWNFmWpswSb/nMGDhpdb7x4XE+9OSjqiYRxFbRviMLjBY23aAJb5/H479HaNiGdALEs/51TW5qloWlZpG25MAfFbS1PBdVoXvk4lnVR1gHZJJSXEAL4di00YwG/d3SaZAL21AUsNGtBDSzOq30ayEsSR9F5NfcROapPsQ5acl/RbANzJzrpE/Lhkb570WhZu0CEuJ/w4z1rS2CoDfw0DymzHcUJGyIrClxmCiZCQP2eTCSJ6KUCiOzl3FRCsDmJeE9/TbQh56SiovGeL7w+FC4ZtCXvbAVI4/jK9ptPuIhuWoj6GbVw9LjP09nFMusUUx3BT6AoDFZKBv229NNblvkzlvKcipsd7nTwFQIyuEzALnD4W8ks8ecB6kKU73EZpcQvLDXXnWyIpBdapXYulsIszlCmD2vFyDbXNstmm9ZSXsuX8fPQxzwjmjBZAgg0E56HNP+H7ZD2aun/gKSFxDFqg1kFxY0qOpnF14duOxKYDzhCkNMK8BLr1EctnUexm7HM6NvAz/fjn1o+b8vXtO8Dd2AvAW2D88Sf0NLNtJOorkR+D9blt4Xx95ZtSvKthYnFefDd6THkS+gel9kmI/826SN0h6X7j2jb2rFWPFRf7kOkDXC4+C/SLBuc7d1aorojCnPGZupqaOUmLfgvNeizX1hZDXOpzkMbCfPeIHVFw/YFi1djYY/Hk7EsBhVKgrqaIpv2Ys6vzkm0iuoIGyQtccihnVg/0A5ezA+8PA20VIngbHWp9KjPs7Lfvd7L0ro9sfKM75sIL1lORRAM6SdGPBuhKP/17P0NocapFKoFqYgrCnbNUR1/XGADV7TvR6L8lVGLcCgN83eYmQK9gYrt0doNGmwKI1qyfuzK2bTTPbmyQdFGKvhTRccxnHX0hZMs7QQGGolxmcozWJ5dhSVMDA/3wfHGM1NeVN0REbqgL4rTpwfS1gvlchRAYgTwbwuYK8yGSSM4W96EMYVvHMYcSmwDW1rCIcnGdfG67/pxrzJ+J4kntK+hbJBoA/ZJm88dXwGr6ZpKY55AeI2HE5piJVwtpxZV9MnLKTw3zuC3PbFP4Nc8BhImqSCv8e+lySc4R/XhlyKzE7ea6esWrr/wjHjDQs0yz7IybpkGjM6iF2+2j0Wjx8pM4P4CQaZ7c/DD6dAx01IgAfjc+fmkdkNXXzWgxBEdFN2D+ukhuSJ0C7SpCOhJjho3DzSa8l4sQl6Ab+FCvwLxCeB7le9Q+St2OYQTq2YgyYpHMwwPk0eM2U0kUJBmVcuxrAjQrqpmHOyyGQ77TsQow+E0NrjaSvA/g6ya9L2rvrg8epG4RrvQVcxzyE5MIwPia377xLQV2lz2pyjKi/74fs3wI4zAqpquiYr8AbfZNMmUJLcB3cHguDMickmSXdR3djPtRa4Gq6Jpvu+I1g56/p+t0SfjBy9h4MEoojMlHRPFKLftPBfZwGgGPASYLTaPlswN3vQ4nVyGkknHhrFoDJcCIktWjXyKqDZsHZB6MJ01QyJg4oCW9iueLGjzG60J2DhNwgKzpkUccuANTJsNcW6++nKcl/BF+nbTrOXcQMCACqk1JavNkwgv0ZlhR4iuRQ154qwcDhvSsYwK898/g9gHukfjaJysW7FEjyafSD6iaMBsjMGcZMjT+jZcXJuZAU+AbMiHgQfO+9FsAkkp+QdCkASHo0BAjfl/SRkh+hJqgJDtBFknLy0217C4APNgmxkMC6HGYSvVtSrnDYN+eXSe6MQZCXtbCGfwV2KhqA+IGSTk6c9xS6ELKoImaUjN1I8h2KAP4Jmx6S02cA+LHybLnxHJrAutPBDGOLg+gwviTpVgMG3g3AeSTjAtDycFHtYxi1DWDJ1aE50g0d+2M0kbaMDBLcGu7q/2L4nBRwuKYpAqiQBaRBirtgdC9LFQsPRk+hXuOxjn8c3p//B/6Oi6Bbgq7GiOGAvwHsxFYLEgcGe9N+6Nmbgj0JSwH1gV8Ad9q+DPtiB8INGOdiOLkNuvA6M+wjbJooDqSsBtT2ZwXQcLCH4L0ytlqwbMy29CKAR9QhcVmzDqi8Ye234VxnAbi6YP8tKirIbH6TAFwiqQsMHdu5MGNWvH7+GGmJ6SflruyspHIugdT4iK0EUjWLYc0aPo6FPf71GF6LUsXh0oAwlhaeDV67c4DWOSR9sXSu4Xe+Bk42EPYNU8kjYJDkmV6Q5JkOA2NSvlXKiiXYUSYJ1Fix5FFlArm4GY914JQSvyW2h0h+GYMYcRu05OJoEOTCTTGIBt4sCEAkv6A0q/M1JHeEJT77JJ2KGYk4ykLanDfFAF0FXAznnwyvnUvBDbnTAexBs8xvoXqVoppCSA5M0pzrJ61xx8NNTFfBoPWN4nGJ44ubmVkgkRidt7egGFkNk+KrZmR3kYwG+5Q0C7TtGZrJYBsAq4X7qYv1tMRqGh2aPWEq+pOEJaznCO9dywIFn9Yxz5K8AMDrOQCAPpAZXiQFX5t4D9awZdygDrYMYKTgOgt87XIsI7sA2JLkzho0X+yEiK2idr0IVpOrqmVRmRPABZJ+QgPZ3kZyZrWYmoI9owAaDt/l+vD7lNoeaK0rzZxZLsF+EQa5zD5AUo0kPTDahPZBZJrQKhP1U1Auf9w7VgNQwbEALpR0cfh7bbgpZkZsIThfsyXMnn0RzMp7b2Z8jcwmwjxL/dm2ZORkpGMAoJKJVma/3Q/OqX8HwLJhD9intV8eAGBFhKZWSXcy38QI1DXavRRyHU3Bd8uOYx6CJUovwrD/lCp+nw4X1S8If68P4IzwrN8XD1Rdk3spyKmx4uePhUo+Y6yfN8E5q0kYFN+VWr9VAKrjGAx7wfqaCJt173WwukfTeLkGfO+N+HCsZ5fvZc+VNFHoDXv/rvAadCaGi8CxFYE+JWWb9DLWq9YA4CqSH1GLNZTktnAeKpZlbsCbDWgsBrQnc4O1OVcYsHAhnH+KlRgmrh+tYHIIHOP9Dr7Oi8Br/whYg+TZkjZjBvis4RrbKfB9PhUG7iwDX8Mua/aXdeAGiulkmsq3NPZUq+BNF/RzksoAMBfJlSTdHMaviIHaxYS/KqlLOSxnp8PMh008vgWco1+pNa42p4xwbzbMfNd13BsHKzTBRMee2n6twtaBmeom7oeQO/9vOE5dOzPf4ty2pF1ax86DYQKh2IrVlXJrqDIsjixkw0Wdn7wGgM+QfAR+Tpt9YaReTYNND8CoCmqOYKGYHVjSFTSYp1HS21VpcpM94Jz6EnTz8oLoIAxSYHVlWVNJDevp7QD2C/mA82BQcBcJUNH4MXKoNSqB74Z92c3gXFYXo2tJDFCz5zRWSnLVNLY3ua2vw8/ru+E4sn3NN4DBp/GaNQLYHzPujGsuByFRcxnTX0jZ0L7GYaZKtN9TRCIQWW9NQoGhkeSnYAKYF8LfxyJRi48+sw38Xh4J4Hc0volx+ppbawHzRQohFXmRM+AGiyfg+6hpCn4L8o0JT0tK3ePx568d/r9Iz+cD9vkBoJhVFs4bHQnHRNsFv6Hts4yrSNVnHxrjmM3gHP8WMN5pewwTSAGwbyjjJ06FY7iGQfVjGMXw/AbDoOy4TiMAX2ufXxUswhiORWeDlfraeYC1YLKhTRPHCwkAs0JzOcxsm1SmGGMejdXUzav9PRUQ3YQY61sIgPOQN+7KHd9I4/fOwnDMkFrjGlbgBt/yAbRYgUkuBCvhzE43Mjb3x9zw3pazXgwYXd85jMNqk/F3/1zr7+LGrzH8rMtgnMJm0bxPRBoYPa+CCnz0ebm46BIm6kqZmhJokrR2HjCF6zwazmuuBsd/z8I5jxXaY4PdRHIZhWaDHqvJMVbf97GxIL/2qhvJ90iaRksMjFiqCEXyfgDLNkUuGvx1u6SlE2PPggF4DQX+5jAI7+MwzfYK0di7MeiafDdD16SGaerjc1+nlrRc6rXw+qkAloAByRMStxlH9yg4MIjlA/8IM5LM3QSbIRm2SQhS5oKvaTLxFxIBi2QCh9T4o2Bnp0hWneSDSLDgKCFLEcaPOPOKWF3Db/92mH0hLu7ODWAvSSPJsbCYNTbhOEoaCbBIrgc7SYtgkPD+qjIFOZJ3yMCwu0KQNTOAyySlitnHw5JBRcV6ukv8vzHo+rkOZozqopXvOt84UkrfhzfxmC32Ufi3/1luA2CaCbcT/ApgAvyaON8KYfy16E+Qgy4uLo7hJEhq0b47TmaFZ2d6IsF1Nwz+bdaW2QDc2h4XjT8CLmb8A8AN8LX7haTnWuOa++YoAD+XdF5zTyXOeRucQJwHDhbXlnRTeCbOaB9DN11srQ6gKseUt6QLBHuXrBthDVixCfhDoulmSUvlvmup0WCW5zDqXD3VGvcgnAhp5PEWgLuSRpJYjNhkJL2JHWwyJO+DgdG/ha/1SKIpBItrwonJdWAw+Rlwca99PxSBQsLYbBAdxqYczOa7748BM//14fs9GY15PZzQ+ScSYGBJf0ycdw0ADZj8XklXZz7/HmVA5+3nMbx2L5wgOR3A0TI4Ybqkd6W/ebmRPA/eT65Bf6JpOlykaO9lKV/kNknLh2OWDUHDLZJWTIw9DAYaPwcX4N4FYDdJSbnBV8toAOUnMWD73RBmSjsyGlN1X8S+SMU8fgQHQefCBYtsoxLJ2yUtF68jqXuD5FKScmCU3Lm/BuARdIDaoud1LTiwORt+pjaF2ZH2rPnMxBwWggvUgvebkecuGtsLlmsCvPDvTeUO0ea9QyQNFaiCD70+vHa9B/4tzpR0feH85wFwamrtDO8n/eLWmHF8vuvgIPlWeO+d2va76AL0cTSj4ogpzY63oAad7Ln5Fq/h4xqHGTkn5GqULnDMCa8tkzAICE9TDygvPLtXZnzZg+H9Mylfnhh/uaQP970WXl8sfK9Z4CB2btjv/XVi7M9hZsNbMfyM5u63b4bxcQx1t6QR9vGwDi0FJ6Pi33i7aEyTKHkjvG5nJY/C+EkA7srtf5k5rwUnEwnHFslmvJCsmooW44MsMdce2+u3tMbPBxceGgbK62Cmk79EY24AsIUCsyYtafdBuNA7RdJIYpXkb9uvIZEUqt1Hgu/b2GzwGjotvpdJzi0XVZM+cIfv+22YUeYqmLnrlui9B1M+Zcc8q304mhkcGIBJGj9rDTiG2Kg1LnPqJKC8+YzS+OlaBInEaP8d8u8ScefEW8jHndcAWEszxr41w0Y3Ob4MNz4uHZ6DyxXyQ5H/UVXsD/v6VvCePpUGzH4g9RtXnPNDMMist9GBZiVpmBm3gdfY01L3fOO3Rt91TjiWTe01bQWf98N7dKppoDmmZi97LcwSt2Y4/+Uwg05q3l+D97qSxPsMGckN4Rg3BfC5A07KngM3jn5zRuPecN5UruoAJYp3JK+E/flvwIxPf4bzGe/NnHsafO3mgwsQtwF4VtLW0Zhm7fo4XHg4A5hgtvmLpBKVMZD8vRKFRFoFbif4XjuDBrdsLinJ4Ns6djlYyjIJSqJB50vD91uOxbTaSF6PQaJ+fYREvaQRH5PkNEnviWNeklOVKOKNM7b12m2Slm+PHfM7zgqvM9+E8wbJ5vnKc/auAYwkIzEA9BFBMlIJNpiw98wJgzI6mWjpppdt4QLkFfDefjvN+PULSYtFY2+WtFIr7ryrw3+6U1JOLa49dnF4jXsf/DzdAOcDHk6MLY5dwvjlw3kJ1zmS4J5wjTfGqA+QA3EtgAHI6SZlFJxCLuwUSTn24vb4BwCsp5aSj6SlWuNqGsVA8iF4Pcwq2LECDEwyFedPMOxJmivxfvvzVkdoImyvRzRoagdJfwh/vwHA9xpfrzV2Oux3DzWtS9qxPTaM/z78XG0BA/3/D2b03bY1bn4YqLY1DFY4Kvb/M/PYUcOgzxNk1aCx97/ID/kKgMdkNtHbJcWscuvAz9A6kn4VXtsb9rnWVqIBmwHU3PXaOP56OC7li7djySNgMMvuarHFwnvvEMEGyTdI+kOIl1MnfyQaG+8bM8ENXZ3fJcz5jQDeBMe2k+H4IkXOUxx7Jo69PTcXuu5zMhxDEial+TQck69bGg9mzn2zhpndQfImSSuPe85wjl1hEHXjd38M3p9G9snEfTsTnB9YZszP/qUiafiK94pz24ljZw5zTtXZz4P31N3gNekvAGaWtE5ibLyGzgYD+u9PxanMsOFKGgFdZvzkZE235FmKxj4A56fa93wyrxZyVRsDuCKsXysDOFRSEuNA8o0YgGWac4/sZ+GeeRv8fDwIkyvcnDlnsqlE6Rxq4+PcBJOhPQmTN42wKUbHzB++4xYw8U52bNd4jplDpZvVr8fofdwAQ5cMn7Vl+D5nAfh87NuNa+PsORXnnqhpkPwe3CR8QPi7yLdM7W+t91eFmw6mhDj7NTJ7fXtcac2lyF9ghvkVvp/3lTR/NPZleO1/PBrTmJTIVSc+L1uToOvEqzT5BDrfc5MyOT06f9n4jw1z5oFK1Edq8hyt42ZFD2CebnI+Hs4H/gXO626dWbeK8iJhfXoDnO9qCNOWBDBXys8h+fXwz7YiXI4AYR4Y+xQD60YAlyQXVQtnwAxIPLo3l4KxXcfCPminr5OzDn+PMP7lDeOct/UZS8G/2WMANpBV2ttjJvyE4BO9P8zhOhWw4xfMoZdFuOPY2QCcrzpSxPj4kVp7aw59CnmvyDzGNbrWuCbsh/wRBux/qr0ehrFfBXAXChqZ6Rx425JrHF3v+LRGWYE/Dd8j/0mz1H8KrtffisHa+Qxc58/tqb0YMJLrS/opW6p50aSHwO01+YUx/Kw7YGKybwLYXtKNuXgzFXt0jO2tKUVj94fB28vAZHdrw/mWFOawaD+Nxt8Pr5u9tTtW5A1n1P4tGIcVSVVVHPYwfEEbYOWsGHSttO1TAD4LBzSEnc3Pw92JbTBkcddksAVJvlmB1Y5OeC+YGbs8zKhYgtZeVsMgi58yAC9ocBWAic6G/wFwtsy6ljVJCsFdjrGhbXOjXFYdKGDByTjzVBqU+jY4oJwXw8x9z8DB+oipokNWdZI9QIEMOwcd4TMB2JZOWvYW62WQ6hEoYM2hE7cHYJBsngrgoHhx1XjdhTvDC3yTbP4hgHPD/bpG+OwiJtxgR2MAfr0aLfAr8sxrX4MTmrPBgJKsMQPGR5ph+lKSl2EYSJICw0wBcHN4VgAnnVMSQ/4wafcwl7kwYBFeCF6TYptG8nI4Obc33Z2ZY9qcSUFaj+4iuil81gNMEwH8H8zadzmGA4Q4UIs7Xke+BvLy9G8AcG8I1ONzpwA7h8GMCz8Pn7MagEPoAvSVmfOXWpNUiiWGUvN+FF4jGnsGZrFO2QEoZ5NJdvDHJnehXQbgMrpguTa83h1F8ipFxVik2UgnToXhdbarczfJxBfsTBj403TcbQ2vuROsRMEBfS+HwcAXKQMGDsdcAwNw+2y2jvdSsrzHwXv7dADXheTeEBiew+z5I80RyktWnh/+K7HnS4MY1Mk+fFjSF0h+DL5PN4V/xwngMMeTU2wSH2/FcHCeLKZJ+nZ4Rhtw2LaS7miNqbovYl8kN/fEMdvQBZMt4e5NwevnGRptgHqBLkY2ndYLIlo/46RUSOyNfOeOqWwV/h8XpNtrS/y8/gkD1pvHYdDFiNGd5J/AaNDUBhkWs6QHi0G1E4ENhteBLTCQvN0bkawMzLo5lECQGxvOhrui54MTo9fCRaQSexYJ2Z7IriD5eXQ3fozj860W1toV4ADuIpJzxUlIdchnd9iNIVl4Fhz8pwqnNWv4uFbEyBmejQskrQk/F+3u9C57K/Kd37sC2IeWOM4ydoVrMBvMJvkaDPyMudvn5ihj7bUwOFJws80IcBjdUlYjpjoJ9hJJoAZ4MQ3uom/vPe3Pf5nk9FQytG3h2l0Wrl1WuSOyGhboXr8ltnCfdyb44Ear2Ke6PjzHTwVfL3XeLpa+eFzVPiJp6BkkuQhGpb5Ph9eVlA/c5fveA2C/VIIXXnNrrNqHUwB00GCSZdQCk7TH1Vpl/FQikThO3FnDpPhq2kpNUi98/l/CmtbYLCFZ+l4mip25ZKzcAPTt6O/fIf371ti2cKPDzIgKU4j2G6ZB3M3F+wrJ38DFuqui99us59sjz35TquATW+9exoEM7IgUPN3omWK6aUCxcTI6GxfREnHfxSCHcj3M9NVb8JV0Pskvdbz/OxoYdgzJc5COc6oslauipSlT1rBJ7IYyNgnKTNDbw83uhzXPQGTttSvei2vYJ5JjVSDBnj2hAZ9Jxg4WspgyrfAWf0Yq1zG7pKtIUi7aHkByKtJ+Sq/88Zhjn6BZc2Olshlmbg/FnnXhuGxxmJH3J60xScaZxtoxTmS9a4AqJCOjY2r2nqNhNYd9FDV0ywzr+7XG3kNyK1jS963wfTpS9I7sZyTXUUGjnQwQ3qBvXBj7VQAIvrX68v0A7oAZF2cKx+X80AvgdWUaelQ0aEagOyVdRDPJ7kPyKCVACzLj2YIkZ1EZWL9EyQcoi31j+xX6FeyK5bZVybDHdLNa09g6F5xLj23xxs8L9icASRAgKtjlacft67J8bpY9l2643AgGp7yj4D4DXLQ+OeTBJkCfIRb4eueR3dar1iCrZvwDZonaMMxlBQCrZWJ2AJiT5KoKoB+6ea4dt4yVcy30xdeDmbxSbLEPwHt3fM7mflgmsXftBO9xjb0QHfdipl7Qtu1hwoaHgi+wADLqTSiMPTkMEpsEs4BlG7FlUMw76Jodw33a2Nig4WDXBJ8tlvK+KHo2H8F4OeXt0aNOyagJhmSTy55ogmmfMPJNV4V9+5xveh9dc/th6/gutVKgIrfNYRXgSTA44pzUWFWoK8VraPicw5GXVi9mw035yTnTMNh+TrjOtxXs97Ttb+3nrseK2YHDPbM5Wk3rcD2hPecXETEthvgil7c7CD1KiJHVsp4CbkZfCvYPSxjxcuPHzaH2qQQ+ANfG19egGSmrhMGM4vXERKIYoGbPCbHJ70MeALQq8sbwmnOARhthJ3PAOvohAHETUClmp51vfbuCYggNdFoezrVPgWvsP4Jj4bZ11lzCazX+QpePflTr7z3h3+k5eN0+r9AXia2rJvENAHdwANpbHa4HD1l0/d4U/v5kmNfDyN/3JXmOLGCeViLPrXE1CiFFeREFfEHrtV92nHfV1v+b86YIE7eH18M3wn7vCnCD8gcS5/0JDUxs8pyrwr5NinyDYZ4PkHw/gB8AyJG7zQbv1W3W+rhRpcvfqyIian32HRheV+YN/78+XOc2YHnCYQs+US9YODyj22Pw+/8cJvBIsdzXsPe2bVY4X5yawyzwHro4hmudMSA5h42rtZF5sKJuzvExBDVsxnsgNDKT7GxkVgUrLwpYgWXw7ikkN1ZBQ19kvRgwDcgKrtUo434qD1ecX0C9nyVJP6ObQM4ieTJa9wCtZLYVnPuLfczXIJMrU1lNqbFN4GbLOyRtSwO5c77TCyG31+ynCyCPAQNcpy+13rzhDNz3Q/ZvwTjcGAtoqqNk5aLwBnRF+HstuHi5xQzOobjx/ZdRAAAgAElEQVRrMoz/L9hhauSwF4fZLy5LjD0HZkwZkRVIjL0fwEeaRB/NUnOppGXYQsmzkIkzjP0e3HEww50riXP3suDQXWRT4e6Axpl/SHkqcpBcRdIvxpzTzDDTwFKJ994MO6urwA/vL+AO8KS0OQ3uORdmMZsCJ/2+IunYaExnN2MqwRqOK5Y9JHkFHFQ2YLOtYQajpEQhC7sLS4wVTLiMuiNJ3q+oS7l9D7c/Q4WMKeE5KQXjN876BJOaMkASuvssHtcupMVj/wfuCnsPHAw2rIdXt8ZNwiA599ewabyxnbgNY+Ous3aneqpzJiV5A0lZwHOpsYIJPox/A5zMJ9wZnpNAf0UtSlS+Gw4gLoD3hg3CPHZKHFPFJhPeL5F+asa+FV4Tt4HlbdtM0dUsrTXGV5mRqODzzwBwtaQTWq9vD4Nok0z+rbFNEuWVmM8sGBRhHlRajhd0ofCtMMtZvJelOl+LWT5J3ivp7SRPgB3yS9nqOBtnDwl7066wLNudcMLwF0p3yFUzYZZajS/SOu618DOyG5z0fguA72hYgWBrOMG6HAyK3AQGdZ0T3u8EFqoONPqKGM3OchMyrAjRuGKW9MznLALgMElbRq/Fa1rbZ8x1Wq4O/8ZrwwmLs3KBJ9NFhbMlJUE1LGQcDWOLfb7g37w//DcvfP9PlXRGYmyRzGY0fkUYgL0hnCQ8U/96dvBiRs4QGH9c3RJ/qQDyj7CqQE2SoX3O3eFkyeswXPB/GmafitnMqxlrx5zTYrDveyXNvDk5lWgN6/ER6pAEogsEb9QA7HwLnAgTgC8qYvSOjrkajlN7m65Kr10YW8sCHccAC8JMEr9tjSkunJD8taS3ZD7rN5JGkovh998DZpvZMfhGb9Og2BePHWsfCccS3t/6gOC9xkp2u1fLOMrs+4rs4TXxE8lL4ITpOTLAdhM4jq8CpifOW8Wk+GoZLXn6XpgZeLnwnFwe7aGrwv7dZhgtcqu9h3AM9uWKuY6odVQePxkuxpzWvoc4YD0H3MyQbPhsz4EZBZ/WMb17WfCFsjKwqbWl1kIO5XQMmsq3gVl71kqMjQt8jUTp6pJWSYw9QdIO0d87A9izK781rpH8naQkaIB16hV3wMQKR8DP870zcn/13PezSxopfrNCopBpQNICkj6SGFvKYvo43Fx8BoARydNUriP4MO+HgfJXw4n6b6R8drqgcj/snx4Ex4iHKVGwrRw7PwxUjpXKvlqyT+aM5Cnw2nAJ7O8m5WOZYZxprB3jRMeVrAFLyQXhJAtUJg5/Vfbq4Lfsi0gJAiZqSKrBccB8/E8MQHxD6z3HAF3TZBWnAmjAbk/Aym0jRV8OM569hMHzlGKqyapCJcbeBRfJ3gkXFU8GsJHyTIrHwc/nhRj2474djZkhJZ9U7Nt6/wdwY9glKFOwa8DA24e5fEuhOSYaU8zIywFTXbtZLbnG0XKmb8WA1X0LAL9WixQljK1ml2/nAxNjXoZ/pxdRWVxkGvQ5trFCrSH4Z+fDoP7Ncs9nGPse+N6dB/6OfwOwXWpdGWPOvU1JHJ8t9kbYB7o6/P1F+PdYOxrzEgbPGjFgbc9evxAzbQ3gzZIODL/zQooUVqKxRbFny69vGBrP7bku62IU3FMsodtx3q56V9LPKDxvkTpl8I1PzOWZWmOLfFOapfYncJzcNMSuAF/vj0l6LHP+mtx2vK6/COARZZrrSB4I13ZvVABSlxpNVHCLEqy1HGXDfQqu6b41GtMJhM7sp7PAqpBbwQCNc2GCgJSKxzdgwFCbYbPN3DkBEqXZgT8DA3Hug2vFqZr8gwDeKcuZVxkzCh7hvWIlxNZxnaynNNB5I7gZ72z4N8uu97XjS409KoE0OcsWcEx/KQw+PVGZBnZm6pzReVMxQO+eQ/J2AGvKwK7Vwjx2geuUS6vFTEhyX/i+fALGuSwnSSTfAis4ZJmEo3MMxYY0kcpqkr5E51qXhZWYO2ue7Km5hDFj+wslRhM5bQnXcR8BcIikOzNja2sSCwFomOhvTsXJtdcvHFMS47wM1yqa79JmVM7VJH4D15SmwtiEEtD+DFtY26arUrEn7JErwvXId5N8O3wPjfjrJFeCfaf14Hv0MAAfVbrmOUlSG8Q+QeLYev0cGPy7FQyi3hpmX9+15ruMYyHnkDVJQ4SXJB9FRDSQGD/yHq2WNh8GhATbwCDM/y6Y3wh7L0PNncOg58kwidwhimo50TEXwQ3rbbbYZCNjidXMg2Nir/6VRpLSINdOchtJP2KGiT1zrYtYgeH6wCPhmK9g0Kyyq8bEf7XmMQ1+Nh8Lf68Oq0S3fd+a/EKRnxWNj2vcc8DNAxspyjGG++JNML4u3geegX+jkrpqtqbEgUrfNBhc/QzcqJxSdvgErEqyPBx/bgbn687s+fxezFFN3nBG7d+CcTiyk5CgqW5ZzPoUg/5+3h7I7g4EKUEPrYquyTD+UroA2iSiH+gIAF4Ld4negsFDIUkpxoE94Y6UCaYMAJ+lQUrthGwpEyfgG/szJB+BkwtdCcUlYQr018v05++EF4qDM9+vlwUHA6mSa+iO9zPRStIn7GM0y3KvvHvLcZwMSxTmQHmnw6xNzTXfAk7WrZQaLKnpIrgWGYaq9ubUfuA7bAoGsodrIMgeZsbOr0g6DcDBNKhhxFjQXci6AmcNE27s1D3Xeq+rUH0lyQ83n9Nj98Dsvr1gfGACxP4TGqiWo7+fH05yPRy9NrMyIEM4UfNtmMp+ZBPiaPHjzYnfqm3vorvTidFO9aH7iS4Cryaps5ATjW9YQ/5Od6cvB+DI1GYEDAfMze8WOz/h9fZ3bNjoFiK5UCLBUtIB2J73JzLza5zlppv1Nxhmn78gd05UsMkwI/0UvkM8blE42N4SLiCdCcuSjLAAqJJdj+SmcAPJMzQzznJwESsHbL+G5BbR+TcBcFHJZ71CthuA80ICYlp4bXl4HWrWXeQc58hSDvQSAB6V9A+SH0AoZuWSUmHMKfBzTQCLkPyk0oXFd8DdhR/E8F6WYhnZA27G+X04P0juiASbBKwc8AC8Hn6WBqcMJZsiZ39OAM+Fe2RJeG/NdePtitDJGwKHpWC5+RFTBRPmGFbjiyAEONvB3aOnwhLQfw5BwP2ImDsknRac8w/B12/D+JnSDAKN2CPZTvILMhtbsuibSk7DCdi+exuoY0nPHd8OzpT5d+rvprhyJ7xW7KX+5P/h0b87iwoAkEvYZqzY54P9sdvgwPDinsTWBXDC7UrkY4x4zrcAuIXkIfAadAoidvDGaMnKKfB1OwFel79U6MP0WQ0j5/MA7qaLT3GhfujeVAU7G8kfw0Hupe1EXeucRwA4guRuqcRSy6oZa2m1i+/CPv0ssH//91ximmbM3BEGWiwBMx4cC68fbVsVwCfDM5BTCNkLjhEmvgPcLDYXfO1TTDw1a1LRtQvWsED/EwaodBWF2zHAzEgzjByOcruZ5A4abQj6DAySTtkU2AdoQA2Pwr/ZCHAYFftIaz2eBCecpyfGzQTgJUmiwSYrwYCMZBEiWC27Xa+N4cMBfv4btZQGTHJNx/hSq4mfdoZ9mqVIPgbLZxXJkHeZ6pkUXy37DpxTeh1dlNwEwAT7pMxOdz1dkO1tyKxZY8ewm0guM27RSGYimR6enXYOIA5Od6LZMlLsxG0Fny2Q8U8j/75kL9sdVidIycAOFXfHSbwHW1DSlOjvHzDP4BuzTzQAmBxL6AWMClpyk8n3MmNn1JJJBNarV+wGK1KcJ4OG34zW2lLzO49535fkfhuLz/8iHM/mGp5KWUwXgoGLDTvJRXAjfBcTz26whPbn4ET9BwEkczAaEDX8H/JMjuOMfQr2BV5J+zjsfywJ4HNRrmrIx1ACGEwDpOaS9HT7vchK1oA9YN8txQKVi8OL92pWEDXIagP7hv96rfD+v61/yIgdD2APWe2pyWecgIE/FVuRSkmwG0m+Q9Ld/UPxYvCfNoAbe09iN4D8f8N/k5Bnm6tW8mlZKvaN7bfhv1nQoWDHUTDwckrLbVcx8kp6Uyg8LlKSb5H0PzToqQHCdymlbADHyKXs8jeRXEEdxDGSJvXNsbHcvtCsGR37b5GpQK2Bw02ws8Lx3Z/Db56MiWSV03fRaldUtzR4rb8+Ba4tbRr+3ia8FgM/u9hiu9jtPgqzg+4Fgx2XCq/F361UISq278N5zg/C988z8J6aYhArUiCqzceRPBbeT9eAGbs2QT6WrLLS3FNtThmF6pQh55qUI05YkW8qAzZWIvlBuAZBAJe0fPSUFee21QJLkpxMcmtJpyXO+zDsP30nPJMNsG2k/sLh2vxkuAE7t241bLiHYVBDaDO67QTHsmfD+022wEY3Rm4J4COwn9vknbt8raYmHBOupH6z4zBQc3wv7DM0IMPjkWYdfgjOyVQDh9FdR61RQgTdmDThD9FsmCllnN8CWEVWhCmxovFj5FA7VQLDnnkeB2zSu8NqaMfAsc7Qedv3epjTfPC+3Wblr9lzJmsAGN8c3s/PBXAuDeIdMklfI3kVDI67XFKc25poHmKesbZpFonPeTHdUAIA/ww+XMN6mMy3huM6ay5hTLG/MI5J+i3JC+Dv9HE4Lsnl7KpqEvAz9wf4nl+S5JIarQdWXb9gJTHOxuF874TrEme0YtWcLQOvR+8HcHio9U3XALs0YTT75SEA/kPS2iSXgZ/FcQjF5gJwId3AvWlqgNJM9s9Leo5WcZ8l5BhGiPzC8TcHX/IKOK/9YQ2zq8Y2P8nt0KrZYZihu7G3SNqU5AaSTiF5OtwA2mkkj5eUOl+xKQIGhzW2YWmemskvTIZ/616QSGTv1TCe7WK6YaTEUizCt8Drb7xfvQjgj8rj2xZTOUD063D8/Syca3k3TNp4+rjz0Bh181p/j2lM4d/geP7gON4OObevRH9Pgn2NWEWtWXtrcma9rMCwavvK4XPXg2OQLeHayLGw75P6fnEeeBbYL8nV2HYCcD5dw18OXmdSBKs1+YVSP8tvRORXIU+zGY2/icc8AgOmV+EwkdDs8J6SIhJq15TejURNKdhtwT89AfZP/w+tuIXkxQA+K+mHYT9dE752myrTmB+OK8Iche95azhmEkxQm2WiHyPOGT5e/16MwzdLSoI2xzxfqgOBMCvfPopYhGmgygsK4ECSb4MfgkeUkQyIju0EnETj4qIH4Q1kSyWQ6WH8rPCiRxiQnO3ULbXMb5JjMbwWTsYepwGqP9s9wAqWksiZ3xJeFE5BwpkPY++UO5U+hkEAcI0SwG+OdsgS/o13Towdud9I3iRp5cycZ4UX7MUxfK1HAt7cA99xradJek/8G5KcKun9ibGHwxtVDAZ8u6QR5iZWdBeWGCuYcDnofI+73hH+nk3SkORYdFzD2JFNTHEAEH8NvKjHYPw2O9rKMCPDU3CB51QYxD8JZuwYagwg+TAsQfCX8NnzwsHFnwHsEJKO8fjORZgDKZSUSQlW0FojeTmAdZUHN8djY9aQU+FE1whrSM3vVvsdOUYHYNjMG5sNDmZvV6Ljs9RYwSYTHPEPoiX9FAcWNCPEG2FAzJmSegtErGOMv0uW7VoVdrwPh/ey5L4ZPUsvw8/L5Ogz2gmOV83Cb9XsG/dqlI27mi02rG3Lw+vxZTCrzduUVweYBmArSQ+Gv5eEg/URBhYa3PtOFXTXhoTcEwB21qCoN8IKHo2fD8DTspTnHLBcZKrTeRqcHJgP7jC+DcCzkrZOjL1V0grhN1kprEUTjO+J8cVMmK+G0d3zC8FB/olNsoaWHPpfSb8h+SFFSXCSJ8FSyndGrx0g6YDw72PgpE4XACs3n6RkuyLQHi2h9FNmCqVKF9J3hwOJnyHBihCN+yESLOkAfhnGf7s1PhXYPCxpm2hM1f5Lcm51F/zHMgbAdfj3phpmKzhE0j6JY2p8vnnhIHo1+J5+Ge5u/3LuvIXznhtubtgCvjfOg9kLpiXGTpf0LpIfgQP7L8PMuck1oMZya2NmTey8N+kmo9kVit1hj2+K6Xekgk2Sa8IAlpXhfe0HkkaKmyRXl3Rt8H1Tc7gwGjsOY+1t8LU4B173PwEnAUbunzD+Thg8cnPk+yZjlJK4qFljo7+PlvQ/4d9dcUMR+2Pr2k2A+FLrSo2NEwOEpMqizV6ZeP91MNPKP2BpS8Ag6lnh4sJIspcDBpy4S3x66pmuseh3EwKwT9KNrTE7ADgUXosPguPa2+Hf5WQVsiKwh92u8BxVPlx03EawPwB0qKVUzuUa9MRPiWNKJBJr5lDMpPhqG13QaIpkVynR7EczVe2EAbDnWgDHlsRer+A874f3pK5Gh1fqs7rYiTfCIIF9naTzM+fo8u/VzqHQ6lXHwXt/IwO7nkZlYD8j6bjM+UfOGx13JcxO0YCetwSwrSKme5ILK8+utr7SzGQ/ghWszoX3/y7J6BkyZhiHOaZ6Bck5lWkWG/d3LrVULm4Gzzc2i2nI820JyzYfqEj1ZIx55OS3AYzkqWoY/4vHvtpGF2F3guOmaTB48duSvpkZX+TP0gWQVSTdMOa8sns1yesxIGpYH4GoQVEOtebaJc7/UUSysUqoKrTG9zbNpHylnP/EOpWS+2CFn969hK4JXAr/XqvB4N47Uz517fcrtZLYd4xzxmDg7/Vch7EY9ljA9huNjQucWaWUMcbeBwNveoljCufZtS+M3czNV1GtIZy/GFBT66+ncgzt1zgmW2w49nVw4/M0mCV5hou4Tb7ylYjNwu/0ZoUaKN143Pj2B6uV+42Oa37n5v9zweykH06Nr5zTbLCqwqrwbz0V9tmfb42ryimHY4rUKVmo9lrim86IsSC3HXJfO8O1jAthINfOcNx8p9JkV82xC8FMap8HMJ8SjTStfMuLAP7U3qsYsfeGvz8BA2AeAHCAohxq8HE3hYF4L8K1lHPb8UIY26jefkqBeY89qrelFj8z4Xo/rkF+ur0GNPvYG+F6XFup93NhXM7XI4APSso12s8JN6M3bOJdSoj7A/gADEq8GFacu16Z2lrLv7k2FQvVjn81c6jRZ8yPcJ8oU3cl+XO4GWMmuB7weJhzCQFI6nz3AHi3zJz5AIAdNah3FLMxJs47pet9ZYDwJD8PM46vBe9n2wE4XcPqjvOnjo3OPbaiSanRDaxbwLWQ38METD9rr9kzcP4ilc5xrl+NPxSe0w3gtWsBuEF7BMQejZ8J9hVWh/edBWA2zM8kxl4Cg/H3Dc/WTHCef1w1oYXhXFCS9VpRzYUDttgL4Vz9nmG+TwGYU8MMt+dheI17B9wA8mQ47whInlb8uQmjDLdnJcY2rKDXwX7AH2GG+841nx113FqjCcI+C+fNAV/z70n6/ox+Js3Iu4EGCvWLALhQwyqjNey9WUXwjjmcCMf9vWQGHNT3NoQxVXvAuIp2fDvOPGrq5rUYgsPge60BOG8B769/A7CqpPWjsT+Ac01fDzmlc+AazAE132cca/khJ4d5HBr+Lr6/wvVZUfka2ypwnvZ5GH/0eGJMcX6h1lhBbsqISEjSEnTz+LEpv5rDtbimptSbhyK5OIznaDcabQbgYBjneJgKawUswBxFY5eH1/rG325UdFL16uo4J7Z/N8bha0ICJ0tTzQoWYQ0Xfd8Ng9Q2g2/gNkPFpTAD5q9oUMsvAJwGYD2SKyovdZAEnKDVFR3mc21iHsdmvgvgQuzi8HV6J/MdgGCrWzB8XmoOTVdGCRPuHJJu4TA7alcispgFRy5QnAZ3QjbO/Jdg+Zy2NQCXdWCg11PMMLZmfuOhax05xdeQ/BLskAp23LrYOC+AH8Zp6O8OPQh2RIce+I7xz9OJ8l8FB+MxWPI5nnfc5bgHBlJGk+GCeMpZLe4uDO/HksavBfAaDdPaFzPhaozOd/rCvl39zAw17GhHA9gHDpyvBrC2pJvoIvEZGGUUvxQGsV8W5vRhuLv/bLgzv50wPBfA8mHdOAlehE9H6L6RtAZefXsIwFS6MzMGAqY6AGPWkKOUZw0p/t3G+I7VHYBqSfXRsnintseFDXRfDGRPm+NHHBXVscm8IOlJkpNoVqlraBmm2PaGk4c1ydwaltZmj1kXwDGSLiB5QO7EqaTd/wuTAbVZcHkqoC6wl0Mg9DGYMfu7ISjK2cyKgFCSfkky2bwAd5fNizQ7Vdseg4PAc0j+WC6YdnWLLg1g8RDEN5ba1ynpWZLbw4DZwzq+36M0gPJ8mK3tL3DgPXxCr1GvxygT5urhe8yQsZ8VvLEj4eJLe/xz4b31Ncqc8REA7yH57eh8H4UljgHgVgA7kPyq8l3KOVsePZLtTbJTdUC+f8IAhH0x8FtTz3aOJT33/MYNCS/CftFQYFO6/0YJbKT8KrUYT8P9OH+4z0FLK80N3/NfkHRM6xRbwGwhgNfHmJn1v+A9pm01Pt9fST4EN/ssDDN95J7rn9FMhp0ym8Gmw8/TgZJ+0TO2mdw6cLJ7OnMTrrSStZGBPbzg3jwUXtOa63EGzNQyGwyk/GLi86+EVSDmgX3YK0j+Hu6w/VEUBK8Fg+hSbASC/aLGxmGshaRfk5wsM2ZOoRt1cvYPSf9sLkNYb0ee7+B3X5RKALdsiP1MATQcbMHUASxgfwx+2MIyOyVoRZoFw1xHrkcY0xSD3iTpoJAofIMS0rKojwHWh/3rWQC8KcRTByoCysjSze/lgO0I8G+YLAo386AByc08lkAmjqIBEHvA4OUdQ5LnbYoAOF2/G92s8OPolLvBcfpr4I7txSQ9ET7nVvi5KLE+drsSq/LhGlNQS+kawzQLzd9gadeUL9P7udG5D4GTXk1D5HwA9pS0X/eRvVbDpPiqWFgD7gprQBfjG+AYcObwf8AsOMfAANd/lf1X/5BXxlTOTrwDM+zEGrBKLy7p4fj8NECg/ZlXkfwUrCR2I4APKV0wvCg+f+u8648On7Dt4Pj2iPBdbsQou+tVJD+SmO+2MBP1SPFb0jY06GJLeH8SnMw9Q2MA7dkNoJo98TpQqV5BJ/9PglluFqWZ8T4j6bPNGEnHhf+nfuccU3ON9eZ+o89bEgalLI7h+D4u+FazmNLFnXXha7c4zECeXW+ZBnQ07DPHhft1Ffi3PwPAzeiOC2tyWjVjX21bRtLTtKrQxbDPMg2Oe0asNNaXGYMOh3/Dcaxrr549rDEMOfEDSE7FcA615tpNGC23uQKc3waAXUmumqohcLhphiQfR75p5iG6yTyWsP9tYhxQp1KydsHXamxzOLe+vSzHvigy1xkY+X4gmW0KoiWpd8Hoc90GaPfGvq3zLgjgCxhVN4vXiz3h32k/APsyw7IdjhuXYa+X7TfMt1gppWZssJpr3Wtd+8IMnvfVzlv+AAFQE/7+JQw2TDHx1frrT9DMwTHwcwisp0q22IQfMAucQ9rES9gME0C8QDeINbHZghhWjGzPZz4YfBY/Tw1T41cRMWPCSjefggks9oFj4ZQ1/t2zJP8D/s2KmIIL7IewH9SA47aE16V2rqIop0wDkXeCARF3A/i++ps01kCZ2muJbzojVpLbPhUmzvkFHNfsBd9zGyij0EMDh5aB/a2pMKFRUmJa0iNs1RpJtmuNE+y9JFeDSWyS7L0yGPZYAMfSoPwtAdxL8ouS2jWi98A5yStD3vBMuIaaNZY3GkxmAGjBa3AM8GjjLWL15K4mpS5fL/uehpsA+/KCm8Dg5TskbRu+b5vVGQBAs0WuiIF/8zmS75W09wyOr8qh0rWb/0bUoAX73VlQjgx4PS78l7N5gj/76TCP/WmypXHtDADXBt/nOfjZaGoxWab7PlM3Q3bXcYfTrNtPw2vzVyRd0RrWNLMQBhY2tSQiX5t8pe3XAO6CayFPA1gUVukEkPZle+Ll9j5ZqtJZff0q/aHnw3ma79iHy3ka3nO+DeAEdauKvFbS2bRiE8Le1qu0mDNJj5L8A4AllcYWxHYLrNrR+O9fphvC58EozuboMaYzpzoagFt2fPBZvgyvtXPBefk+K6n/ltqOMAizIW05BN7bv98aN07daG8AN9AqnYQJJ9vgwhoW4QXZoQKciSNXAnAHyV9jGCCaAqk2e2FT33u8qU+8AvOoqZvXYgjeJykGzd9N8gZJ7ws+f2zbwvi2vWHf7xJZlXN0wuWxb5PjPxTGhxHptY10492zsB8S32N968uESTqfxsjFJ27nveaA16+TaIxie85VMSfJdTEaq+eICU5AIDcN4+6isUQjwGEYX7MinMuBpF/ROMj4s0vrqKCb3/6qoFZDY/w2BPAIyQcUNeaFNfgieM25jcaNvhy9n1PmKcEcNXYyzGrc7E+rwjFuCqBde98P2b8bcLiEpnq9xHETLMJDLzrBvAUGgftZ8KKSArnNpyCLCMvNnSFpF5pdZhoMak1ZL+Ckch7NMcWAZGa6BTNji6mv4QTIEhgkEzZBt6RpidzviBU4873y7pW/cewUA0DcqSUY9JuyhRV1SfVYzQMPFMgeSnpNCKSKJM+CnU3yOADzhiTjdvBiO2IclTSeBS1JY40ng1VskkR3n3UyMygtK/NaAE8mnsWZFJisadDGTeEcD2Ti0uUl7RR91uU0M+IedHGpbTO0CL9C9jjcFT5H+K/LngnOzDYAVgsJwxTQqvZ3qwEONsH9X+niwh9hp6nGnoWTl207DXYm7kZH8hOYABnvg1GHLbVm9Uo/pe7LPlOhjFqwx8LzvCaAQ8P9mC1khPWiFGD0/zd7geSW8DrZFIpzgEHADttJGBTetsZA+qxtrwfwAMlbUcDEJ+l3NNv9MTSbdrKoX7OvezhXCfPcPryW9Nk0kCk6gGYbmgdpeZYGsNvuiPs7XDQdR8IothgEMsEKjtHvt3h7DgAg6Ta6ay9lf4b9nNNIrgQnfiYWIhmMl5Nj7rNeyXaSR0raLRE4Ifz9FJy4vCl6fQ+4SaJTpk0DYE2W9a1lP4YloF4Kx00mOYfcCFFrtbK5O2EYuPS4pIXpYsrlMIgqNmb+nZxIdUcAACAASURBVPq7sV6fb+IE5G8APIjAIgOzs/yzNSZuuuqV2Qz25i6/vmXTaNb/NwHYm2bY6tx7+qznfmuvRefDSSGQPFfSxpnTfgjDz+hfJa0f9ompHXNZAPYXPg7gDniPXRVeez8Q5rNf8CXOl6Xcumx3WOZoKyQYazPHPBvisel05/cfMJB6Stm1JPeBG9zWgrv9U2Cvl0lOb5IGHecbB+y8F4Bl1WJ/xPA69QU4dmlsFvi3mAv2w2OgfWOxtOxBcOPg95CWli2OAYIdACdYfg4Aku7MrckyULgLLNw+76UAFiF5GhxX5IofU+C9uQGPPgr/DjFzX9/vFgOH/ymzD/2FZrt+Isz/WZJdzEttdrtlkZesKrUqHy7MoyRZCNhPWAWDJq0PwKwLSwYffqiIWumvrq2IeUDSX0iuA4NtZsTmVAANh/P+nD3g9lfaKtYAAFhBw8wYV7NcFvAVMdU1gL9Sn9kkZ7OgHkbsxEiD9s4l+VEFRj0aEPA9mGGmOUeNDGwVuJeBRThc44+23lsfQHztd4ebZNZpcoMhbt4KAyDqiMlF53PhGGA3WLVgL5LfUSV7bddv3TYOCiyPwXtVW70iZ0fCTXkXhs+cHq5Lqe0RzjEjViNReA7s552IiGkoNlUW1UmeAt+vlwD4qjrkAyN7CG5UaQBim8OgmSXh/fXjcEzRSGNvBRdMz1ACOFmzFo+TZ3gVbWYaxLEhgKMlvcBEEbDSn23scpIbw8yTnb54Yq/ukpfsJWpAxbVr2TowQ9nLYV6nwD5zqoZQ0zSzHQxs+Am8Nl6HvP/0u/DfLBgoiiRNoyCuBWEfKmW7S/pidOzvSCZV9ILVfL/z4fzDT9ERO5UU9Vp2GlwPWA+OXT8J50vjc76qctvB1gCwE61o1wUc7C1wjjn2FfcbSHaBLyQpV0v5f201gJpafz0F/NwuNbA0fqrxA8a078CKSq8j+TUYXJL065lhasRgr55bw+RBv1JgvaJBhDn7KU1+8E04JyB0x6k19raWz35NxmcvzSmfAuePpsL11qVhX6/LSgEUi7T3QpLvw7BvOiNWktt+swbKpyfCKjCLqrv5bQEYgPtXOBf6hCIwNcm3N3snC2qNMHN6w2y6Oawmdy4cQ+TAy8vB+/VasC83kt+XGaHvAPDF8LtuCWAWmp3zPEnHJ079A5Q1GhSDDDVQAZsTrVwuHPc048by9ZgGUTaNbXtKeih6vZF2f5FufPwz8uDQdZH2b5LA4YrxtTnUY/DqNPDORPINMPFYCaFQp0n6GsmrYADu5ZEfOwnDDRb/MpOBwm2wcPz+RE2SY7B+jmMkl9Nwo+iBGNy/OX+0bUfAteRTgQmm7dcoKB627HlJz5MEyVlDXXtElafm+tXEOByQya0IKwgcpQKF2nDMqnA++9M0ecZ1Sjcd/T3knBsMz8qYAbB6+A4vhXxkH3B4pLaTmWP29R67hOSHlVApT5y/aYK4Fh2g97D2fkPSXuG4V7JBnxjgHoBB/altxcoCDI2Iki6lge9NE9o9iToiAUDSb9rnSdhk+JmrATHn6jYpu4Rm8n4JwM40didFIjLOPMjCujnqMQRzkVxJ0s3hg1bCYG16MbwWA6WPgnFtN8B+QXuNa6wo9g12GEys1aVmdiTsmz8NK3nfFua2LLpr3DHxyCTYR2uvY1VN6zUxJ8ljYfzSGnB+bxN05y5ryE1LiIRK66iAiSQ/BuBvNLnOOTCD/7tgn6Tth7wAx/2zwgQ2JfXhXsxRZM8ogIYBQNL1wQdMWe19P2T/VsBhFbBWqo5F+AHYcV///2PvusMlKarvObuEJSNBRCQjKCogWXIQFQEBJUqSLJJRguJPQFQQRUQyCIjkJFEkZ5YsWVABCSKKSEaCy57fH6f6TU1PdU93z8x7b9Hzffvtm56ampoOVbfuPfdcSY+Hz+xZ1HX092oIWfThRiu7wF0JJzXHkaErITlC5WxB1FPC3Rl2/H2M5HPwOS4rBzYQFRxJ+9Gk26y8+5twMCRG5XMsaV42K4M3nuSnJD1UoW2dBx5qqRC8gZLsYqkasTZqXyW7MMP6CCWNw2f/FjZvw42uygzBAD4UdlAcDG8UZgEwhuSWkmIV4fj5fSvXVer5eonkvnAmMmCnxcvBqEzNBT1Nwv2AQomQsAHqpoZdVTWk7nkDqhMHa2cA5jZjY+BEifMSTf+pqCx6F3QlGbOl0roufB72hI3SudGHjT8rqOtF2AieZ38qK23OHsZfhDoEo0kNW8OBoB9K+gudtXdGSfud4DVtN7QCb/lszwzJUkMFuAcAZIWprUnujOL5uc66vgfsXLtI0iN06aakajPJ0yVtEcZxU3YMdqbFaELYrQxVVAVH+QaiSEmNkl4DsA6t+HIjTJDOvqu0lJiKs/oArx1/oFUri5zp2e8o2jjNAhMCF46OPQInOJSCFVTfcrgODmRlJVWngkm7tVUaGwRix6g9y/380M/btKJox1cU/J16nY0pb/P9G502X4aPZk7pItQJvMXrDNMKzCmCw7YwUeFJmYw4M3pXiel2v8WIB1qmBjFG7co4+wJDdmXSOUvyN3AG++mwfZ3tdc4l2eboDNdqD3TuxZBr10Sxdgt43d8ZXoM/Ape5KsJ+8HV5CM6+/23kQMxjdlih5i60V2yIr3UTsnMV9ccpJMXHbg0Bs5dYTKBcRqG0bBjnyzSpugM19wCAK1K8mrr3e4GcgHcvvP8kgN1VnFAxv6SNg10NSW+xc0B1zttUwWk2Bg4SfhotAm7ZWpTd34L3b2dJKlO5roK6NhxQzVkI2Nb7uILifvAFHAcT825Gbi3OBRengPctbyqdSDE23l+EuT6VSFkXdZQUB4kqcwAAvEdy/swBH+yyxiouTcB6CeDDBuXUiRP4OjyHrgM7aH+EUJkn6qOOz6Euubcy0VjSFXSC0e/okn3bwfumlZQogRz6WQcmCc0P389LS3oh7PEeRUvxbhDIzltR9YpCSHo2N73WuZ97Xiiq+H4jTFBnVYskWF3JZQv4mV8QVkQb6gLFiWWflhQTrC8jebOklWjln+x5uBLAlTThbFNYCfb7KiCRh/3/IeisINdh19VpO0CcAOApmKR7M63E8lqiXR17NsNecHLYBFrNvOx61FGirSLUUPvaRZgR9k0C0R41gcpJM2HO2S31XqJtlog6nV/qjaK27CRxTY5OEleGNdBZBWPNxLEMdZKC3laJilm41/eHz+vPYFLhivBct12Jv3hmuara7sE3chPJkSDeVyUOVqqU0qDtIOyGVJLzNPC+a2YUi7CMNOoQamrZ60okJfUTLFf7bQRJZ4a92erwHLteyV6jm1LjjLm+YzLCbKkOQzzuOrmayYUkLwcwTkHNqw+4j+SyCkn9NOEjtTZU9SkvrBax9mSUkxsADCVoLArPWQBwi6QUefkoBPJCl2NNUcW3PURwCj6dv6hLxQwF8QqSH4cT0W6gq0N9JDSZm+QWsvJ+lVhjZfVekgfBiSGPwnG7b6u7AjSCfXAbyd3gtW0TOOadR6VEAzUjifbNl5vDz2Cl2LPgZ3oTmKvwR9hPvUrU9h6atH8STLZ+A+X3dFX7pk77uj7UQSXwfh+ufnqrpLvD/v7PXT5TCrWLiWTH/tRLn03B6knoGepUTwXJadVSVV1AgY9RATsB2H7oS6UD63xvwOclxRWBjyN5J1oV9mJUqtIZxlL1+tXZ41wHKyrfCvvRtmQkvKVcpcfo+CUALgnr7prwXmYfpONm34Tj6/OTvA1OdE1VBKyLW0keCc+1sa8sji1WVosleZOklcM1iO+37N6cqaMDr9P7htjQu2Vtw/7tK+j0A7QpmYa1bgnSZRyKxl4H0Rp2OsxtyWIj6yOhBK9WskwVnIBgF8hE4bI5u4567/P5c9MNkp4IdvSCkn4d5u+ivezedIWpl8Ja+jaAVLW82uNAjbg56nMItoUriWWxstdh8v40sB8G8P4qvndehv0z2fFUMnzp3jeHf3SLA0g6heRV8Bwfr4l/R/maGlfqmgD7ddrirooSmYKv56OSrg0+zg5hyZp7zuUkLULyQUkHkTwc5VUW64ib3sTuQkJV46iAq1Zl68XmAE6RdHjYy7QltpH8AmyPXQqrsJdyAoKP+ir43L+NFudoBni9iNtm+4K76ATXs+HzsTGC+E8Cde/7Nowq4jAAsItMNespy34ltL2B5JXwIlfk5H6QLov2HFx+JlPanLGgfYYU4USS4oetzjgyVCEkZ6iTLVhZCVfOSPxsmBTHlG0cWb3cb23ExlQuuBGTEWudY9Uog0fyIfhBnAwmhj2J7orKeZLhDPCGJN93MjMtGmfKAVWp5FnUxzWwYTwLciWzcqhV0niAqKLMcDSsFDsDnLG/pqQ7gjF9Nuzwz7AoyddCP1OFv4Fi0sBXYefKxeH1reHYWNiJmEdPk3A/QHJpmHg2A1rEs+2UI/IBgKS/w4tY9voZpBVP6563ysRBVcwAzCHejE0A8LSkvybaHUBnyV+HdhJgygCpQjLOVFqzDdJEAKfRasUHot3YaoKu6nok483QjdGxd1CuGFqZYDSpQVa12C16/Rc4maCo/TvwfV9GIM3a3kSTbjKC9V1Kl/oGHCydLlsfJR1DskgdovK6ngW5otdPojhw2GaE00kOKfJyE8JuLyhSBb+bafXObZFTiaCJ+x9CVM5N0oFhnYoD95njeSH4umXt14FJU2U4sMv7UFBNCffGrOHvNuUidqpXvgfgfloFOp6L8texrurbOEXBYElvhI1bY4TftC86SQj5jW6b41fSj8Lnx8DBwjwqryMk91FLHeCzkjJS8psk90euqkjAoSR/ANtbV8JJdHtI6liDSV4nafUuxyoTG9ieXQwA87F/hMt/Au0b9RKUkbNjTJGbq7J9zgwonhuOVgGhV9KSicNX0eThc9HuVOwgk6iC4hLJdeFqH8eE1zfBDhHBSkePl7Q/iVbZnRXAEiRfkXQBOnFQ4lh+rJXJzqyn/thWOl3SLtHLWQuGU6m0bGhzlaTPokRhJIeHaXL0WJqssRusmtUToufst4ljebxLE1Oz3zc/OhUJ6py359Fa99vs3/A6P9b8PXdX6FNhjkrdQ6XowYYDKjgLA+ZRIA0HvAA7cl8i2VHCUzmSJk2QXLqg7zNg4uWp8HXZBt1LoFZBHSXFQaLrHBCwN+xneBIe79wY/vHWSQAfdiioEyeO300H6a+GHaJr5G2omt9Tl9xbi2gs6TqSX4Of1/EAVpcTBIuwIYAjlCPyyIHwpOpgv6BceVRWr17xLMnl4LltCni+rzLXDH11jbZJsEIp6Gj+vIzkN2CFxNimTgXcqqqYNlEcnZWRQjmdgD1LeG9oH0AHLdeCn895YKWmsmDIqbD/6QjYF7Y1in2ZddoOBCHgFQe9ng7zUb5dtq9bTNKR8Xskd0e0140+UzmJQDUSIFVRqKHBtQMcQLwv7PkI71GL1Pi6Js2QLPVPpXzEdBWv0wHMFF6/CGBLpdWSu5K4SO4EB9rmY3vZ7ulQbhvWSQo6kiYxX4325zpL0jsV9lNODyvsZmruK8L+4GWQRmb3PE/Hl/4GJx0OK1Rd2fkmVqiU0qAt0Ge7QdLh2d/hntkdfp7OgYPFoxV7oZNQE5dwrm2vcxjUl9ld7bduf/FvfAEt9XyQnKlgTe2m1PgYybUktZUjJ7k2TFrsQIjHHY4Qjwu+2m4CKHWwDEzMyvyycwF4lCG2l8WWaviUY2LthCo+n7DGbY/W+nEGyRMVklBo8YDl0EnwmR4JQkZTVPRtZz47oN1vV0gyDNd3RXi9+wDs14kV0K5gi2xbJdZYWb0XFqB5Evb9LQrgR+GalMVo43MyESaLXlXQpHKigeqTRPvuyw34gtpJlCeSvEPS98OaEY8vE6g4no6fT6+EwEhAHfuma/sefKgDSeANPufzo9dPolygYFJD1ST0priNrjp9Fnzt56/yIUnbd2/VFe+R3Ay2PwTbNkVVaVJVOq9Mta0KSfcGn+v2kspE9oCGPiOaeLoY7Pe+BU56TRJGw3hWhmNiBPBHSR1+wAbIfCXxs5uPx9VRi832i7OUtmpHnbaXwPP1vehuV9wHE7PPR3v8otu+rwh3wWTBw8J9tiJ8Tr6uihyePqHO9ajtQyD5XTjZdH54nzYOngNWiNqk9qrxy+d6HUeduHlVey9nj/0KvtdfhJO/sv1sJmKXF3wTHMu7NWqbR7e9b4x7SJ4L+7YK+S1yVbfncsfK1IbHAnhQ0hFFbXLtt4eTuWaCr/kccCWwfDynzp4zEyj8N8kPw3y1eUuGUUfcNBYS2hHAFegUWK0aRwXa783VEGyasJfJt90fwIYF/pcUriB5M4DNw3UEQqyF5O/RXoU0v8+OEwOLhLlqcWfyoPqTVNEXsECmWtK2UZuJ8GK5rVrKsk+qRGEhbErWg2/W1eALcJEiifsQpNwdzhQ8RSETNDjU51euxGf0uTjYQHiS3FRSB5u+yjiitjfAxkEZITlreyxMqNgEzjB6A8D9SpTrI3ltGMMh8ML7Apy515HdyHR2yqsA7pXUUSqGLj/7bXUv9VkLbFevGVIxlbRBom2dc3wQnPFVWgaPzqoohCIV7ILPzwLgX6nvyN0/qb47nOkk/wArozyNAmItSxR5YQdyh4FM8lswyWsN+P7YBlbYGqRKTgeKzrfa1cbvl7RY+PtRSR+P3utLaRVGmZNd2u2eCoQkjlUhLTUd6x1whsnF2W8n+bAiIj/TpYuAEmdQH8Y1OWyMfDx3vFIGYEm/Zc/UGbBC4iNoBQslqSNwS3J1eK4oJBnnz2Pu8w8pKA/kjncNhEZt75G0ZHzfknxAUTZ12IgL4Vqh3WhR0fpHZ9suB+BumUA8K5wJP/DSQ00QnKunwpl8v4QDWvvl1uoskSOJvJOwbvvwmY1gFe4b4XO9IoC9lSAMkXwFzszbNHPGkPy9pA6FiIJ1vS34xxrJJDTp4Tsw6TfLYiMcuD5RUptDj+TZAK5XmrD7OUkbF31vFbBAFVxWmYjbzQYH/t9Fiyi8JKx6uL6c3JC1vRwm7j+Y62NJAAdIWid3/GoAX1EgR9IBrfPVpewQE9mTipKl6N3AAQB2gc/xGDiB4aiieYvkVqnjygW5Sd4paZmyOSDX/jYAu2YbS5JLwATProlQRQjn7VwA30JU0lVRadrQ7lg4U/i7ueM/gJU5vt7DGIaem/wzVPJM3S9pMZLrw7bfngBuyM2f4+Ds5+thpY1s/pwewO/y61ON8RZlMgOelxsF9ELf8bkoLZtDB2QyWzA/Fwyt7cGm/yzstMoIL3PDqqTXqT0QnMoAj39c0pFGMlaBHVqzJM1V1l8Rwr2+iYK6LF2mcjXYCXZqwqaq1T76XOnzX3PMpao+ikheYd90Y2JO3hHAKpI6nCzBOb4xnBzyK4TSsgpE+1zbSwFsoYrqTeG37w/gc/C1uwrAwSonzJX1Nw7e19+Ais8eTYL4Lrx+XA07JL8m6caoTe3zVmPMje6hLn02suHCZ4+Ek2dKnYVhbp4LLcfSV+BEtL0BXK4Kyp50cHHZgvfWREuV7Go5K/6/DmH/kgVjHlP3Ki/9/v5sz/AArHw6keRdkopI3yOKhE27MEzmfxlIk99q9r8C/GyMB7BR2VwV9nwnwLZCRjReWzmicbRfJqwI9B84CDmw/XI/wKh6haSu1SvCXvpI2C4gPN/upog01MV3MJWknkQo6DLRpwLYX9KitHLmffHeOjd/5pGcPzO7upexlYz5i3Cg5Ikwpnlh4t6NcOD453RZ5k/CZbPPkfRwhX7vlbRE7FsgeYukFXtp22+wYYWXlB1f5LNjQfKkEgqbrKC+zBok3IbXjjCpbwI8rxDAnfF+Ntf+A3DCygqh7c0ADoznIpL/hKtUnA0TZtvuf6V9xOPhZ+mG8HoVAD9S2s9/l6Sls+tC+9BvV7s/eQaYDHYIHIDL8LpKFLKq/L6o7SEwCeIJtPvtVgvvxz7fxyUtEH126L1Ev2vDMaM5YeXO6QEcpOpVyfoCRsrOkhakA6PnS1o+124MHOCM7e9fSklfZ+W2oX3f7QaafLoXLJByGlxyO6nI36DvNSX9Lnfs65KOT7StpaQY1phCQk1de53kNxNfM6S+LKlqufVCBF9mpva7GIParxr67QrW1HjPnlpTL4JJT3vAe6KXAUwu6Yvh/QXg5NDxaK/MsxxsZyVJlKwYj2sCdonhwWSPOj7lzN8CtPtcyoi1D8IxgDfD67Z5lo4FrgL73uL7+3UAlykkuvUK1vBt1+z3GHh+v0UtJbaitqlY49nKqe7RccxMvTc7bwvCtu3vo3Y9xWi7gSa3HgXbAw8jJBqomFxbp++++3JDP7fDCWXZdd0AwF6Slo18pqUq1koTl0Crrne1b6q0b+pDDfu4U2HCOOBY4taKKhyEdpXWBZpnUDYHdJDP6q45/QTJ1SRdX+SnzfuGos/dlrc5Em1i234v5MR21K4WOzWcCDAhOrYTnMy1SYFPciCxcJLzwHvZ5eFreRssIvJUQfuxsAp+HIPumb9Cq32uIykvJNNLn0vB+4A54XV1c9i/9xRsU3fY4SSfAPCT2F4iebmktfs1rpLxJuM1BW2nkcVhUs+NALxRYP/OAJMW4/1eRyIjS2L4ibanpsagBH+gYn994aMU9P0KSoRXFFV7qHk9ipLGyj5zP0ICqloxzAdz+8gkj641XG0ZH6gzjoSPMd95vLevyyFIxXNmgsWeDpR0TpO20WdK9765tn29P3N936CK1b/C9V4aXs+z693Bh6mz56STjI+CYwzHwNfolwoV1UvG0lXctOJvqhRHDW2PhG3T5+EKMwtK+k+wdS5TWlSp6jjug6thfw+22c6P32s6n9S97wv76fP+rCdkk0z0/7TwJvJzUZv1YYLscnB20DnwjVXGSo+/YyZYFWTjIoO0wbgXgxVLNoIZ779RF7Jlt3GwBiE597l5UJItGB6wt2DSS6aEe6baS09nbc+CHV1ZBvtaAO6GSXnnq6UMl7W/Ht4cxKU+pQTZuRcEY+F0dQk2VTjHr8OOnffgc1LJ6Cf5QbQbKs9E79Um7NZF0SZZ7cTae9BS5D0ROUXeoomHDtgPOSFVXtJ4YGBCmUFRtg4bEIxqfPdyMGmxauCtNBDCBsSJBmPOnP+ViGeDAqsTB69EKwNwKCNUEXEpalvrmUoZLyXj7UoyZi5Ikft88j1WCIRGbcfDhtJtcuBmfvgZ7ZkEwBbBaHHYqV9IMBoNyO5Zkp+Hs8n+DybqxM93LSdhE6diMHLXUFBiCHPQtannKRh528L35YGSzi8y7liQKKL28h9NkkkOUY4knAJrEHbrgA4WtDlg4ODpWADPKagCJD63KuyMBYBHlFbvrEXcJ/kYgEXVKqk+JYAHJH2sZPxD2ZOS5qeD0MfHjiySe8JltXfI1iJa5eA4AFeqIFOTVnFbMLxMZnyTvAB2zh0NZ2fuBmBJSZsU9LkUbPtmDvrZYSddN+XKQrBFQhja7DOUkMq1mwZeH5dCqwzOorAKz3aqkGxTMoZ4/Wp7hkqeqUckfYLkSQAulHRlfu2jExL2gMvlxEGN1wCcJOnoRL8jWga67Fz02O/XYdtwGnitfhPAocqV/y5wUGRIOiroQPbSSqiu9DDeuyUtFb0+WkFdlgmSY9324XjX539QCPuJjBAaB1qnhEvG/qPgcx9Di8R5nQoUREieB88p16BdQaFS2etekXv2nkPL/i189sLnZobHTThQ/mLu/UbnLfr8iZJ2KHiv9j00SFR1FpIkHExYHj5vt8JzYhGRJA46jYFtgZXVY9CyCtis2s4gxjHsCZW9gq0E8ENhlf/CBPDRgCY2bcV+G5F7WYNo3HA8MV6FbaNvyuonAwWdLLoBgEtVkERcoY89JP18UGNMfN/dkpbK2TxJMiDJcfnrlToWjn8VJqhUUXJpMu4pYf9BlkCQH9dERL7Q+C0UE4xug8k8F8BBwedg+2yhXtr2G6yRHBXabwr7yVdEewWY6QC8J1dFyH9HrJ46Dg5U3Vvgz70VLfXldRDUlyUdELWpTMJtcu3C5+6VlKr20wg0uWENOMF9EZiUd7ZK1GtSvr8ifyArkrhy4xkE2eIxAIuogGwxSJ/vcIAVAus1+lpIUlK9leTykm4reK+ycEzFcfwELjF8IoBjetn7F/Q/HvZXXh9e7wsnBa6ZaPs4KiopktwZjnu9El5/AI6vHduncWfqy9vCSmSHq7hiWZ1+s3Xyfria3DtF6+RwINh1M8D+r7zK/mZoVeZ5BBahKUvoyuJxE+BqFD3b3ySnl/Qa25WVh6BASmniI24wlofgZ+3t8HocLOgRJ0eNBXCuEqJI/UId33aP3zMW9kmeWfD+qIg1liH4WZ+V9Hc6hrMjvL/+A4DvqSa5quQ78r7cjdWq0JC1q1oRLms/H0yi/Axsv9wBiyo8B2AJSbcGG+cRhOpmQEdyxGpRf7VIxnXbV0XumkwJX5PPwpWj9stfk6rrAgtEPqLxnpY/VmfN6TdIHiTpgBq+oczXszK6JKHXse1p0ar1FGJHNEfnIJhwvKektaK2A4+FVwXJXeH9wj/QHvutbY8l+j4Bjrleinafa9dqpyV9/h6uwvgSnVB5DoBdYSGij6fWjGBTPwAT4HaU9G4vsYTw7B0Pk3UfguM9RXZo5e8h+TtZYOtZpJODpwJwrKTvRZ/ZFr7H5ghjyRKqVkn0fyIs8PNQlfH0EyT/ipIqtz3eE3+GE42K+r4uajswAnPoPxM/yhJQp4avR8/PU8Xvr+xj7Je9F+zKa6vsPcvadtv7DhdI/hC25/PVQjvWaubEroJ99Pv89W7qqw5r+ziVCN6wggAhyfMkbcQC0mzT+zPEWjaG7bXzFJSBSX4awAfVg6hK9AwtCOBMOFltZ7lyXZGA1owAtkTnudgtatOf+16jizic3Yh3wM6IfwF4WFJHqWvWUJYd0FgXhAnM+k4wqgAAIABJREFUm4ZxngvgW5K6ZbbW+Y5KhGQ2zN5iiWpneP8qWLnvjfB6WthBvT7svF04174R2bkuaBXTh1RCBBoEaJn9w+EA+AtwidJH49/H5oTd1KSWBZx+oDSxu4zA3JMib7d7Y5BgBWUGlmeGjJM0eQ/fXynwxlYgZAVEJZmQC4SwAWmpwZgvhDNfj4cN6F0BLC9pw177rjmOeA6YAOBpSX9NtKuTAVjrmaIJZEfIcvzd+u5KMmYDlVbWC4R2VdfrBaxIMBoNYCtp6EhYTfCifm542L1EW9au7b6gCXEPpO6VyMibBQ5IPgDfF8OyYQpjWB6uMvAmyc1hp8WRRYYgKxB2a35/LVXgmn3XIu6T3B+2mS6C19T1YWf8ISXf0TV7kiaIr6FOAluhijet9HQanBVOOFt8K+UUs5hWfds9te5Hn5kc7aqHPZWgYiDEBbvvF/BadYGkZKmx4JjObJ8/qIAcXnMMTRSHD4X3Am/B13BGWF2zQ2mO5K4pG7pgLF2JCINE2bnoU//Twr+npyzdRL99JVZ2ef6fyN+fdduH45Wyp2uM+eeS9mABOVLp8tKrIQq0dpuT2SW5LmoXB0SysVCdqucDJXLWfPbqKA3WOm/R5wqfqSb30KQItgedJsDr1EmxXcQBEWujvcKX4UDWGeH1pgCekvSd5Af/BwSnfEau2BwOvJ2pPgSy38/ggFWEadW8v8ElGgn7CD8El+jeSYmgVr+Rd+iHY7WSiEk+o4YVApqA5I1wAOCasJdaFsCPlUtaC21TidpFtmFlJZeG4/4kOokcv+6xz6UAPArbsQfDfo/DlEjGqtN2pBGCFvMioVoLV6WakPxgex9zwr8vVYWhq/oyG5Bw64JWXvyVSsrQsobyce5zU8Jj/wmA7xfZU7Qq6O/hZGbAa8SSktYraF+JxEVyFwAHogvZosnvo8uv7lrik/k3XJ6ZMHHh8ewtAPNJmibX/nsohiQdXDbGfoNdlJ0LYgBDULty10T42u6sHFm3i11bWTim4m+aCJOPJuTG3q/1dBZYDXZvAF+AkzQ2Sfk6WEFJMWrb4Yvth5+RA1RfDv2Xqv322PcH4ASCeC27OXp/HExSWQAm6pxcZc4eSTCoK7JAWVnDlAQexrIXXMXronBoPXid+Hmu3fX9sk8KxlHZt12xv+lhkY85YKLcNXBVtm/BPumuwlHsQjLuJ1iRTB7a1ibrNRxTV18uK1aEq/m9e8J296vwb7sov55EbW9A+zPUtlbl79m67WuMudY1qbMuNBhLnTWn7+rE4dndQNJ5FdrWFoKoOIahvSXJHQBsD+CLkv7JoDYZtW0kIpD4zsXVrji+j6TDWKAarbRa9ONw8k0j26fL+JIxAuWSKWv2GZ/nY+Bn/8Dwuii2nNma+8DP+UbwM94olkDyblgF82ZYZXMrFVTyZAPV2pLvnQzm/MQ8lodgn/3tsnr6J+Aks02jNg/D+5TJYNvmSdhezZ69VLXZj8Cqp5lq9a1wLK6Dx1Bx7M/D4kKpSkm93hMDVRGuOZZ94Wp3XwDwAzhp7oK8ffN+Q519Q1Hbbnvf0KbyHFdk20Rtk/cBW+r/Q3EiFCsfHwbgFZisuitcbesPkvYP7x8N8yHuR3Wx0loJnawgQEjyZACnwOtN6rz1nBTYb7A99jsZ/DytD5/r4wp8nePh5LCH0PLNJBOeekVP5eUGgMtp1vRPYKeXYGWzDshlS84EcCZbyrL7wYSL4cBjMFlwHUmPA0NGeE9gmpBMJeTD2cremiU8YHH21odzbQtVO0kWKeHOBSsTZvgPgLklvUWyozSnpJvYSXbuKClVF2wPaI8F8HE4i7vXfglPZPNKOjg4pWeXdFfBRw6GFbCulTMsVoWvU4zJFMjrJL+fOfAlPeavK8Tv4InvrPB6E/h6vgqXIh4iXrGAwIxW8ByIJg540o7RNnk2vDcGifURlBkAQNLf6Az+IUgaO8gBSHo2d73eSzQbD8vUzwJfjwyvwyW3sr6OBHAkaxAnGmAnmOw1F+zUvzYcG1aoPatrFngOS2E8yU+pWgZg3WdqBQBbBWdh6SYBwB0kF1Y5yXgPABfR6r0dKq0Fn3mTVsxTGPey8LPcAUnXBGdIpq63u3LkxF4g6TF4vQLJGUnuL+mH/eq/z7g3OMjmBfDt8NxP7PKZSmBnibajSBaVaLuSJlCeHV5vDOCKgq6fBwBJL9JKyT9Gi5SbffetklZgJwmnX6p2xwFYlFZH3wcuVfxrOLu8A3I5r7ISYXUxjxJVDiTdQ1dB6AV3k9xeaeL+vfnGkn5IK35nAeOtJd3X5TvekbOxs74nQ+cmY/LUcxkcZEWJKofDJPI/hn4XhO+pNkWq0O9mud/XFggNx/ZRq9LDemovYfIj9Ua2+gFdzeGbaJV0LbRpZfW8fivoLUryNfi5mCr8jfB6XOoDkvYj+WMAr0l6jw4wtwUrsvMm6SiSG1Y8b1NJuo4kw+byQJK3wGTi4UDZueh5zigKEOQR7okDAGRkzptg0kJRJvA1JNeVdEkv44twZ8HzvyNc3aTX9kC1578OMsLGT6NjsTOmAzLhtSrpdSi5Dq5sMDlMvIyT69YF8BFJx4TXd8ElNgUr1+SRjTVJ5KwyrjKEZ68q0Wrv6O8hpUE4WJ7vt/J5y6FMAazJPTQwVHVm1w1OSdq623dLmq5bmybI9gokD5YUE8UvI9lBEP8fgIT9CLTmk+/RpSn3V6Q0MpoQ9kFHwT6cKWB/zpt9sH8rYVD3coQvqD1h6UQ6keb7JIeLCP8sXTVJdLWL3WD/UB2UOqsGgL1g0sn8tIrurLBPtzUg8kMwOWUqWtUj9ndOXdDv+jCpsO9KLmENXgVez64AsCY8L/dEHFaLcPoGTBLrS9uRhqSnafWlN9VQYRzAX5HbW0d4myZS/JkmuD4Hr4PxGN6DKxVeyRYJ98bgV+qXb25VADuSfBotcYO8/+kzKFE+ziOMda0w3nlgX1+yFHXANrDq229C3zej4P4g+WOZfHRN4lgee8CCDt3IFrV+X8BsAB6jyQmxEl5GMq6rRvdm4tg0cEB7ZtjXPZw4j1aim5GucLINgNi+rFM++hH4Wfh98NHHiQJl5/qDAJ6XVU9PIzkVfN4bkWckjWnyuRr9vxjiHdfC9v8GkvLxi0xJ8R46AF+opBhhTNjXZ/7ZsbA90hhsV1/+VNX9dR1IyvzNB9JB/hng+awnkNwOVkj+CBzoXxbA7Wjfb50GxwBvgde6hcNn+gZ2IS/XhUJJdlWsSDtISPoZnSC1AvyMFvkl76MTL85Hu+pb2XxfBynf9u966O90mMB+O4Dt4L37FADWlXR/3JBpkvHO4TP3wzH9QeMseK69FwkyOYCYTD42ItlsDOBESRcCuJBONu8ZtDDOKXACU1mSwcySTia5e7CfbiJZaEfRyeTbo1OBbpvo7yMAHEFyXti2uC7YLT/KXzvYZ/SspOdD/1vBZMSn4GSiPOq2r4pK16ThulAJDfs+DH1WJ5bLvu+CCnyIzNfDREUCWnimKf4V9kJzwuvfQiEmMjtya2ofY+E7wfd2huyc1qm4+CwKYrK9Qj2QQUswluRkcrLO6nCFvAxFXC6G8RxG8l4AVwEoJRV2G4OkbK04m+TeRQ3VkKQa4g3zo90GGE8Tg2O8LXORQHIKSY/QIlkx5oATCurgVHiNyPwPm4dja9TsJ8PzihRQ+4xnqzZsej1q9P9jkmvCnLFFAfwwulfel6BFSyolBnZp223vC9Sb42LbZq7wvYQTzJ+B+RXx2PYKf16efTVcheBWJcRoAvaD99IPwar/V6Cdr/lnOKY0O8xjPFvdSazbZ/EqAJD0ctgrF1WC+YgKEhciPJgYR19stwFiyCYN8/1+NEn6bNg3msI4SXsVvNffwWkUKQ7HYAWZ6pEEXY5hEwDLwRv3cwD8stcNKp3BfQuAbdUiJD+pRGYsa2RvsYESLsn/gx3vGQFgHXizdzhsrG8W2g1UfZmdKqaEsxB27rHf42BS2mqSPh6cFlcrKlGba3+PpCXpUj+fDkb7XZKWjto0KqfGROZidoydGcIPwA6dNgKzorK7rKHI2+TeGCTYRZlhGL6/Vtn48JmuSqbhd+wJYC5JO9DlsBeSdHm+bY2x7qI+KBb3CpaQzwF0kM9J/gFWLuhK7q37TLFAjl+JzCKSj8KblCrjqKzSSpdpOiq0fxhe7DdQglwZ2s8BJwDEDp7GDlM6CeL/4LXhYngjdDCsvnS2pL46fPuFEPhbDMCTkl6hyddzFJ23mn13LdFGcgEAs0m6LTiHMifvy3AmXM+qqolxTSmpIxGnZh/ZXPk9AM8FB+Owle9kTVXgmn3PBqt0vIsEcV+hRFYvYJfsydCmbP0uUjzrKEWaPxae/dlh1a136UoCe8Cq4/kEsEm6XGs/wYhEzS5k4CbnjSNYBno0ga5m8DAcOAS8hiwq6csF7V+Gbcl34KS1bE1t5LAMz0PmmM9UJpaAFSPXk/SPXtqHz3R9/muOuZS0G9+rDfvvWvY43L+bSHo2+sxqAKYFcKoKKtKQvFntRM7ksQZjThKtVEG1hyVKg4NAk3towOO5BrbhYgXBzSStkWtXtSxnUrUggxIKLYNCsMHXkhNREIKYV2gYy1bWATmUcDyfTAidC8CHVJxwPFzjGgvvN85UxWouw43ga9gEJkUsCc+3H9X7RF2a5O1whYIsGXEDAHvJlRyGpaQ409UrdqsTOOLwKw5PCSdnZ6prfwQwJt4X0cSDr8H3TRw8eR1W7usI1rOCkksPY34IDpDdJ2nRsE/5pRpWV2ENldY6bUcbwti3qOLbz61TmW/gKUmbJ9pWUl9mJwn3UgCnKJSa7BVV/E+soXxM8jR4Xv8dgHMkPdyPcUb9p3xoHfvWcPwG2IdSqjRa5/dFnylKcs4SjIaIniV9JNvQCei7w4HO8wAcPog5oRtYUdm5Qj+Zv2clmHT2a7gy4cQufop7ACynkEhBJ5bcVhTzGCmwvTKAYF9PpmosRYlGbKCkSJN854GFbQQreD4r6Zs9jHlg6sscsNpvWMuyUt+LhdjPQYqq6bFdyX0yOM7RN38TC8jL6kF9N/jhC6FECeZ+o+61K7ifk/dxD2OKfds3S7qoy0fK+orvi7EAXoRjXB2VrEheghbJeHUAH4Cf7d01CskctGLlYpIm0OXEd8jiMqxRNbPLdywAJ/VsDNu1p8Jx6HyCRN2KcONhLkFeje/CgvafgPdmWwDYRzkVW9ZX+h2IWnPVa9JkXagxhiZrzkCUj2mexlvoLC9fpCpZuWJLxe+fGSbyvgtXdvkOXHVzVTiJ+ayo7VLwOvv38HpLmEz+NIAD6+xRewWtRLkQbJvGZL2f9aHvTG27Dam1jBUI/qHd/gC+iDC/AlhcksL8cVrq3iK5jqTLotdzwyrBjYisJJ+EY1MZfh6/llS6L63Q/7ZwEvEc8FqZ2SSrRG0mC8/+pbD/6JvwWvYSgGkUEQmb3NcpP00vvhv2sWLupAC6Glp8H79W0nySANPVYGaC1+AtZXG22m2jz5TufUObRSU9UDC+nSQdlzh+PFw5/Yrwek14Tf5mrl1KDGkmAJ+H5+VzCr53CrgKjAD8UYkE/TDnbBL+jYPjGOdK+lOi7YNwbDFO6HxQUj5pIGt/IoCjVEGAMDGOs2F/Ssc4Rhok15N0ceL4BwDsKOnQxHt7wgICl6N9Pev7mjrqiMO0UsY8aJ94elJwqPn9C8LZj3kSV3LzSpMB14MdZKvBwfWLFBQyG3x/bUIyK2RvxQsfyUfVLvlfuLCRXAKtDeatkjqyHViD7NwU7FQyvlA9EiYj51ulko4kr4Wv9SEwKfIFAEtJWi5qU5mwm+v7AXgDdGd4vTRM/l40f31YgcBc8zw0ujcGBZLfgrPO14DP9TYAzup2j/fx+2uVjSe5IZzRcmNovyKADiVTOoh1L2w8fJJWe7i9qUEa+hwVZDHWJJ9XCa5EbZs+Ux9Ee9biM4k2lcdRF8G5OhQIVaL8VGj3Y9hp9Ajayz8WlascC2eoxevTM7k2N8DKkLfDpUNWD/3vqT4QLQcJ9ll1Iuq3a4k2kpcD+I5yRGWSSwI4QImgcNj474tOJcXVojb/p0RpTFqB4VIlShiTnEfSU7ljSylRApVWHrgSnitXhLMF71fD8nN1QfJsANcrrQr8OUUBiB6+ozJxv0HfY+Cg4lBQD7a7FLXJ5qGOj6NgHiJ5Crypyghfm8EK6ln2/x4A9ofLrk4Jrzs/gwOBhymoNUT9xbZK3i5otFbTGZ03SvozScKByC/Dzryt1F2teUTAGmTgJueN9UpGj0oyWT9Q15EW1qcOyGpvvYxjNbSqanR9/uu0zz3/gIP6yWo3FceaIu2uDiuenaoC0m6N/rsm15G8WxEhgOTRknYJf98hadmCvgdC5GQPRKvwfD3Y63pWZa3Ota91z3X57kblw8JnKz2DrBicokl4GQ5CTkVdAyhvVTKWL8B7hky9fh7YOXbVcI2hDlgz4Xi4QXJHSSeM9DhSiHwXQ8Q0kuNjH8qkDJLzwTbcZ2C77w44Wfg5AEtIunWExrWHOktip9SrgbDPljRsFelSfowi3wbJr6iA/JBoeyNMXCxTcmmEaA2+Fw6Svw7g4aIgR4X+/okSlVa1B5Eqtx1tIHkeTAq7Bu1Eh1Q54XidmgCThm/Lt6vx3QMl4YbvWBa2FV4Pr6cDsHDm2020z5SPfwJX8jgq9/5EtM5TKSGR9cjnO8EJcvPBhI8M08Fk0hQ5uzbZotvvq4rwLF8I4JLY30UHL1eAS7ffIOlX0XszwUSEzeDYzJEqV3UccbCCKn9u7zsjrMg0N/w7f1PkEy6wGQtjHpMSWKCkmJovwn5vR3hPlvn4f1m2R63iTx4UQuwgVvt9Wn0Uf8j2imGfuoykd/L3SjcfS6LP1WDSz7+L2uTadyUvN/hdZVXVVLTv6ycS1+4pSXuUf2r4EPw1m0hqpPZb575gDZJxw7EsD6vZZvH7bI2cL2pTmUzOBmS9HsY+BlZCzvaXp8Dr1Uvh/bXhe2hOtCrCHaQCsl6Zjy5qMx/MN1gXtifPAXC5rEifbzu0TpA8BsA/JR1Y9F1124fjXQV06l6TOutCXVTpmy114pXhSl59Uz4O/acUIdvu+dDuMzCvZA84uTXD9LAAS19sAJIfhitjPahQaTF6rzaZnOR1eX9p/lgduzf6TLJyoPqgFkzzZjKMg8nREyTtk2hbmeAfbMPZYX/Tm+HYggCmVSIJpsq5q/m7Ti95W5K2bNJv1P9DcHW524MN8AkA31UkGFHgK1gdjs/8Vu3Jxn+F42lFA+54j+b5/AotRf5N4eoATc/ZTGW+3fcL6MSvg+F7eCJaa29HAnqYE6+R9DrJ/QAsjrTK/agAO3kiAvCv7Bnsoe3HFIjEzAmIkVxWUayRJu1vKOneXB8HwWIhKV/ZvZKWyB27R9KSRb8113YmWFwt1fdacOLlE/C1nhf22xeqTNOVwk4BsIgSVeNZM6GTNQQI64wjajetQuUYkgso8BtHI0juDOCHsABS5ifqsAP6gWFzDFdBWJTmh7NNswVU6LH0W02cD9+0J0VjKESYDM4EcGZ4yDaEJbwbEYflzM+L2CIk7wlgthCsShKS5RKw3QjXcbn3t/Jd5PsMm5gH5ey9jnLgOXwF3nzcQMtpn4OcI7sJmFYypqRVe+074D9h85plN8yK9vOUx7rwudsTdtDNAKAtc6tsEuqC7QCcQnJa+Ny9BmC7cB8ckmv7Smh3M3zfvQA71Zui1r0xaEj6Ka3M8BrspP6eGiozNMRUCmraGegymUX4Lkwgb1MyRUt1KMP8kjYmuSkAyGU2hrskaGa0VS5nXBGTZXMTXfbxDrjTx+KfSHJ6OQOtsqOo7jNFl7Y7HFbbfQF2RDyKFgEk7vvp8Jk2p3CvoFUGvgEHNATgFpLHpxwy8Dy/kCqozpLcFSZ5/AMRyRgOjsaYKXPSALiK5D/ge7QnZdtBg9VK5mVOkM1hkuzs8Lz1MBzQOkNpNaNUibYrcm3mUULdWNI9JOcpGPaZ8Nq0FmzobgUTd2OsSPKHalew/RBMUC1yHP2Gzhh+LrRfGVZBT5GnNoYTa7aR9HeauPiTgn4HgT1gu2UzJFSB+/EFkm4AUBYI6KXviSQvBnCxpPy1y9o0Wdt3gkvx7QYMlYyNy67sAD/7L4Vr9jiAlZQgp2bDKPg79boqdocdJUBLIWo+WNH0F/AzNgT2QIDrM1jwd+p17fOmemWgj0Ugk8E24etwkHtUkMlSqLBnyPAWyRUUSE8hOJO3E4cg6T2Sm8Ak6h+R/Aic6NJtH1EKmbRZmbhZpT3blYFPokn0swJYguQryiV/1cAUCqThgFvlxLN/BZu+V3QrewxYzWcICqThgKJyR4D3NzcGRxUQiJy9DRcA8FaYZyfQCTMvoL0s6BDYqTT4aVjFpFdUWauHUPee64Ja5cNyeJHk5mh3ZqcSGSuVzlREDKZJhcNGFM5D0pV09ZWszOBjo9xOXUYh4RgYKqfWU5nrfkKjlDQc8O9wru6nVd6fh5MpJnkEX9K6Kk6EGBHScMBesDrQECRNN0JjGULYA80BYKrgzM/stukBTJ1ru7mkMwDMw1ZpxSGkgoDIJUT0GffQpL2T4Ln9DQC9JIp9CC2V1q+iXKW1TtuBIHUNYhRcD8Bj/W2V76iyLtUkDWwBk3AXBLBb5Jvqhw8sw3FwIDTDm4ljGaE2Vj7+BRK+AEljanz3Z1BCKM/hLJhAfQgcs8jweske7pnwbwrkylDnUfX3Re27EWa/ANu5Z9PJbK/APruxcLzliDjwHIKQX4aTkj6VBQBHCjX8rkejU5U/X7EpLmX6CoCv0iT7W5CbN3P4J8kvKZDNwv7nxcY/akBgM6XYo5B7xgqOQdJE+JnsUOlKjKWyP3mAWFgtwuXJ6G2dSeGvYS27GMA1dNWgv+XaLEoyU48jvGa/huL7+GsAjif5L/i+vAXeBxcR99+W9DZdenzKEDvoqbpT3VghKxBPG6DWtQtxz+PgynefJLkIgC9J+kEPY0DYc+8M21uXwok7O8NCWffDe+MmqHNfDImnBD/RX9Qn0nDAybD/oo2El8Ph4f9x8Pz6QBjrIvCauUI0xh+SvA4tsl7sk9i1X4MO13hrmBB7IXwtVoB9D4uFvcVH5eqkr8KJat1wOckvKqgNFuBxuJT3JXC8dS4A38jsopwNN5ZB7RNOuNghei/FJanVni0BnT+gnf/RRhxucE0qrwthHJUUYGv0He8H/42WOAHg39cTcVjVq1xPAVcbmwxODsvwGlwZpxJILl6w/mbj+Rtsu6QwNrItN4YrV18I4EI6aSX+nnGwLTMLnZwd7w3bKjGint2bjfOg8D3TKEHq6wXKkfsA3EaL+6QwtaR9K/bbERdSWrmzzrmrDElbNP1sRbwdeBEgOYWkR+gEohgd11bSdQX9jYXv+To8i21gG/wI+PkcH441wjDGw0Ya+8JqsVUquRwo6TchBrUOTO4+Ho739wSSl6EzpvcqrOZ/QszBqGrvqYaQXJ228B48WytuR/u6cWzu9YYAzie5maTbA3foONiXsUpB/y+S/C6AM+BzsjnScYMkQly66Nk5HMCqaomFzg/7ddqIwyQnh/fum8B2wE2wWEkK+8Kxpp2AVkJnyRDXrPZLao8jw210Ys5ZsJ+ko7rDgPYMTbAXgAUkFe7nmVbDHoK6EK4zjCriMGzELxwZgiOBCUpIfldBWCBOCP96gmoQklmNcJ1t7uKNHcLrDsJcCPA+QHIudcmsVgOyc0U8Bjsb1okmpz0b9pXCL+AS6B8k+UPYeP5uUePIuJxI8rdwFklf7tVAUvkUyRlgcvQr0dvn5Zp3JTDXRK17YzggE4WvodV/Ky90fcJfSJ4Pk/AygswVKNhowiU1Y2PpX/AmNo93aZXhjKg+P6LgfkMsEl2vGGWBkMNQoZxxTVQln58FZ1XHJIq4XT8W24NhA/RaSZ+mlUqTJa4H6BT+NUwey9RVNoVVRzdMtH0SwOSodi/sDhMNuz4TuQ3j3wFMnZGWRvFmZne0VCdWDZvGNuOO5O9gp/YlcIbVC/A8tSDsULuE5M+i4MgCsBN2b7aXaLsdnc7SsvluqoLjM0s6meTustLTTQknwZcAXBDGtVcgyvwOwE9KiB47AriY5DoIGZmwY7EDMln4TABL0coEd2kYKzXIpduXY7sq8G/VR1XgOqCzPj8q6dow506WclCHTdEBAHZBCObRysJHqWE5pxiycsvpAE5XmpD8dvYsSnqG5J9SzqEIg1irJ6ilhr42gF+H+eXaQO7JIzV3Z+jXHF4FdcjAlc9bTSJChlFNJsuj4p4hw04ATgu2KWDC41aJdlnfR8Pr2UrwnPVv2Ck0GknU+8COhAxTAFgCdjaeis7kr6poStqtBFVLrruT5PbqVIHfESXBSw2OyFmHaJVVthGcFHmWpPF9GEOVtXogyAI8LCgf1uXjVZ3Z06N+cGo0lJ1aAq1A3aIkh7XSVE3UTTj+H1rYAt4b7wL7L+aEE88neQQixLpoV3MaLRj2BOWK+DxMMPoI2pWBXocrGMXICObTJvopSv66KbcXmBoOJvYMSd8Ifx5PCyZMr0TSaY3+3oOrxlzJlkrrjXQi9lFN2w4QjYjnqpGkEuyQQ9BZISDeY1QmDageCbcpGPuFgy+9LdbCduXjg9Q/5ePKhHI5ufpVAJuyvYrVtLTSToffPyJbTOeXaTJuw9+XIsx+NPrut+Fg6rEhCDgLnIz2SqIvwCWM34F9+vtzMCTxOqjsd5X0OMmx4Tk/lVali5FPEoSk00jeAu9pivB1OKZ0NHwenoXP82jD4SXvCZGQAFtKirOyPZlhehTM9RXnlQyV/ckDREy4nFAcy28GSVly/4G0Su8M8PoSt6m1biqoD9IKlBsAOAb2sxfFnauQl2uB5GqSrmdL9TM/xvy+qArxtC79UdVeAAAgAElEQVTqXruTYDLvCeEzD5I8C0BPxGE4/vAy7PfeLnzHFHCyW2Olv5r3RV3yeV28qhLFO6BFJid5Dlzl9aHw+pMAvpVoX4ms1xR0xYpX4Htvv8jXcmcgpWR7iy+h3t5idwDfIfkOfA+mzvH30bKdU3Z1jLNhf8mLcIzvljD+BWA7otf2lQV0qlyTJutCwCVhrNeiYA6o07da1QWT6sQl4ygFXRHvWYUKoiS3hPfST8PEvLYYX9gL3QonUfWiqrsTTKxugjpk8h1hQZoPw/NxNnG+Bq8lMWonUoZreDJ8389FclFYMfMbRZ+pCraLq4yB7dki8bEqBP+6iM9dTPJOnbsRR3RPPB9sgMtgwauXYJGsGPlnrg1qT3Z4vm4cL+x7eq5INBIIMYGbQ9xxXUmXDOPXPwnfX1WQzatrAzhW0oU0wbVf45gV7QJh/4D5ASfBPsgMg7D36qCy+JGke0muB3PtdkZrDv6CpHcL+t8Ujm9fhFYSTuW9C101pCjR7wW1K/A+CXMxss9m8/FacJwns7cKkzRUI6EztH+a5Aqwf+/U4Itvs2PqjCP4B98NcxHkypg7wffSJvn2ASN9D2V4BK1q7EVYO/y/c/g/roRcqTIMYAdXvaENEDRZbzflyjMP8xgOhG/+i9Cu2DNaiVagS8v2nXBN8no42H8XolJpktat8NmM7LyxGpYDIrk+/LAuBzsxzoHLSVXNsKvyHR9Dq1zVdSmnHq2EcCiAl2An0umw03IMgC0lXZn/TINxTAkb/fOgPcux1OhhINb2+9qPBIbjPFccx32wgbEtgI0kPcGSMvC0ssUiaDdUHlQui5Dk5+Cy9AvDCQDLA/iapBt7GWvRuEo+U6mccc0+34PnCMIEy2wRIoBxkiav0Af7cR+zVQ73AQCfDoGbuyQtnWj7AOyEbnMKS9oh37bmGDrK/+WPsaWqNwdcwvs6tK85qdKdNwBYIzNsSr7/KbTKheShAgf5iIPVSubNopKsqnwbkpcD+E4+qEtySQAHKFIII3k2gOvVSbbaFsDnlCibx1D2nVYz/gXs7L5A0vy5dpPDa9h/4GDnHnLSTdnv+AzsQH4bLh+fVEckuRGsMHwjfM1XBLC3mitmTrKgFTh3gFW35w9BouOVKDVEJyJ9Ed5I/CUcmw/euFwpqREJhOwkJMObijZCMl0t4Jzoo5vEr1NzQL9Blw9bC94gPg2XYH8kvPeopI8PegxN0I81p6Df2mWgSd4J26l3ywTiWWE1jFpr83ChyZ6BVqyBXDGgrN3vwzkYsk1S6+FoQLbeRK+PViD5ZvN6w37PBHBjYh3ZEcAqikqvNeh7LICrJJWSTekqCpnybOY8XgLAlADWk5M9ij77SXQG1ftG5KTV+zuIVmxXgAbJu2AnoADs0+t6VnWtHiTYY/mwAYyntOTwMHx/MolhONa+JqCrKmwMJ3OdhpBwLKlIZed/CCC5BVzV4fXo2NqyktYkDzoBfQZY1XzIMa0ShabhAMlnlCgZOVpA8itKlGat8fk9JP08cbzyXqDGdzVRw6zad16l9VIApyhUnWnadjSBNUh7gehwAEyYWQdW5aOkA6I2Y9EiDSyCEVBfjkHyN/A+PAt+fQNW5lkvajMRkU89/jj6RGpli1D+EwCFhHKSu8CKOW1VrJRQnwl24ekAMmLEi7Bv9pFcu9q/L/LbPZh9N8nxkpar8ntHO6r6XUneDCeS/RJO+H8e9hP3bf/EUNlQ/VX7HBHQlbhWgUnRx0dvvQ7gMkl/Tnym67wSta3sTx4UIl8H0O7v6Gm+oJUJvw4rWj8E4ORuvuUafWcV4T4FzxO3ArhF0u0VPrsyAnlZxaSIKmM4SNIBJE9NvC3lVERJ3ilpmabfVzCGWtcu8oHH/pM2H3jDcTyklvLxWPiazPV+mAMykDwUJm7+Bu2xlA6bLHVO+3Ge64LkfJKerNBuxPcWIUabKf2+GY4tCGDagnNcuT0tCLOh+lQZoMm6ED7X9R5ouOZ0+Fl68b0Ev/1nZVXIleC4wa4AFgPwcUlJFWGS16shJ6NXkNwfjre8CKtbLy5JNJn8tJR9RHLXItu14Duq2r13wr6bS6N59mG5ynZPoFUqM7t3AoCnwlg6qg6RfB1Oii0j+DcdR61zN1IoeDZWh+e73ypKJiD5PLy3SmbgKCLFsxk/Yl74OZoH7VycUU8mpqsQLgpztlYazrWMrhj1SwB3oH3t7SB5k7wCwF9gxdgl4PXs7n7scUjeLGml1DGSj0j6RHS87/ZeHcT3ff4ZSLzO9twLw3Gda+H48kSgnKNIJwIXrqtMK9HOBMdHtpT0WNQ2S8JbAxbaOy98dkMAf5T0zdDuBlgo8MKysYW250naqGAchUq4JA+AkzIWkrQgnaR4fryO1BzHHXBsLEvGWR8WrtsLwJ6S1kp8ZkTvoWgcF8GChzegO4+owxdR1T8BYHQQh9mSFp8ONnruQvsPH7YJOyz4eSjl1Bwt4IAI18E4HnoJKzVuGk+8wwG2lIw3hUl+p6E3JeOs35NhIk9c3uxASQfm2t0Dq5/MAJc9W1PSHTTp+Oy6hknBWK6EszDbshYkHR61GRXE2kFhOM5zxXFkxJflYQLxvrBqRuEGj+1KpjergBBIcmZYvYCwqmpPZeIaGsZHwtmPpeWMBwlaGed70esxsCrnZn3o+1p4vjgEfj5eALBUKgAxKKcwyV/BAco7wutlAGylKJuVLi1YBClB1Alz1kJwcCy+dkVlQScpBONnazhbNst2m1xSUmm3Yp+FzoDYmRpezwYnDb0Lz8WADdMpAKyfGZS5PtaGM9TnhBWmp4fni0ujNtnmaXJYEeYWRCW44uvHzlIrC8PBo5dD2w57KNy/aygon9PExWv7GWyaVECTzpcGcGfkEGq7zlHb++Dz9mLueE/ET1YkJHeZA2qpczVFuH9PgB3ul0naPhxfGSbrdWyWos9+AFaFigkANxe1nxTABkQEtshkSwD4FUY5mazKniGsWSfCpL6H4AoMXdWygkP2MwDuCXbUzAiJOf0Zff9A8nFJ+TLA2XtPqCGhlD2Qdiv2fymALWTVuG5tV0OrgsIj6qICH5wxq8DrzhWwc+/WokBEjTGvlDoezxckbwOwiaRnw+v7YTtgWgCnqgfCV+iv61o9aNCk5VvQXj5sJUmfT7TNksuSyDuFSH4E/l3Lh8/dCmB3SX/NtXs96ndqtCdd9CVoURUcUOLzIMEKCcf/QydIvgIH0TbNzlkvwdPRhuCkzkPDEajNPdNtbwGYStJoqzA3BDZMnI8+nyRG19kL1Bhrdo2Tpa4lrVD02S79xiqt56hEpbVO20GB5C/K3k8FLMLn6pD27pW0BNtJT7dIWrGg70qkgUEi2H6/gO0WwQnhe6haCdd+fH8tQjnJx+Ek7SpVrMYD2F/SDeH1KgB+lPKtNRj3wAmzI4Eo0LoyKvhdaYX0f8A+pz1hf/ixald3qjuGzSWdwQKlttHqP6ST7XeCq9cAJuSfoFaFpKzdWADnVt2j1JlX6viTJzWQPBcmK90C7/OelrR7n/p+EcATMLHuBklPFbQbGHm5LliDeDrAMfwOJoScH/wnGwDYVlLlsswF/ZYSU94PqGN/0yIhb6J9Hz6tekjqboIQc/gRgA9LWpPkwgA+I+nkXLtKv43kxyQ9xoIEt+G8l+uA5IWoKKBTs9+5VaN8PMkfABivCgqwVfpmS514D7QrRk8Px5Qa2TeMxBhIHgPgnwrcBZaQn0keDvvsz0c7Ab0j/kvyurzPLXUsHJ8GrgAxkSaHfwzA7xJrdSUyOWsqKjewe++UtAz7KHCRGPNWYcxPpcY8KLC+0v6Iog6Poc66RXKmuuc8xFJPhm2RoUpiSgjGjDRo8aun4vglTc7/FoCdJJ1T+OH+j+VOWGgnf95OTrSdFo6PPhjWqg8DWFRdqgVUHMejAD6vUDGH5FxwzHXh/H020vYeW8JRhOOH2fUiLFo4W9Q2TkbISPNZ5VcpnXi9HLyfnlZSoap62HPGECxImVLlTSXhDX1OuWS8KiA5u6TnE+PIOk2uscG/92kAv4/m8KHE4wbjiNfUHWBV5y9K+icLxF1G+h6KxpHkEijBIQjnbReFRJZwnxxbZDPkMVocyT8d6QFkUB/VbIcRswD4A63OlN24UgVl4DLIpS0Wg0s/bARniBxf/qn+I0xeZ8IltjIl4/1g1dZe8HkAS9Dl4zOS3pdg9YUYkymQlGnC4x1hXI+xfyWjPiLpC13aHI0WsfZ65Ii1yJWWmgQxHOe5Chi+9zY66+1ctMo2JxEM8d8wKEAnOzXZ42w4w7FQrr8mmhCTmpQz7jfmIvltSYeEDd/5aC+pUht01upsANaFSyPtCUvwzw1nEKbwSjBib4bnlxfgDNFesQyALUlm5R7nAvAoQ0aVpEWyBZ0um31k7rcUOW+fCf+mCP/eV1CFknkZCgLlr8Jlzr+pVhb/OBRjqtz3/wPAcrTydEY2/q0KyFYhYPFRWTHtVQCrFnxPXNb1F4ljMZrYQ2Nygcl/wQkl/414R9K72ZpBl4ktIiVNrkTyRtgoNFKsDdgSOUKypCdpFZarERyIKaN+uCHp8rBhm05SXJbmHngzmwTJ7eByeB+B1SKXhcsgjoiaQb+gBmWgJZ1JlxzMHKrraRSSydiepJnfM+STEo6BHVA3w3bxz2GbuRuOAXAhXFLsIHjv0EtpvEHiTpLbK60MfFfTTsNcvBzbSbuF60gDvA3gIZLXoN353xFkCd9Z53s3gAM490naOgS2ftnjeAGXRs0wDiZ03Yv2+WIKBdJwwK3B8ftSCEz0BLWUTcvW6kEjLh8GlJcPuyf6+6DwuTKcCmfXbxhebx6OrRE3ktSozPyA8DBMqBmxSlNVwPbyky+gVWGmUYDivxR/gSv5XEAnaZ8PpJVjJlF8NtgPw45R9kzXxSVoJc53LVWcQNE9VGcvUAmqWeq6BraA1/IFAewW+bxSyRx12g4K93ZvksRUkq4jyRAQOpDkLUivbW/TSeV/ppVxnwPwwXyjBGngFxhef9YQgu1XVNZyoGA7ofwgVSOUP4t06fAUplEgDQOApBv7YZcFbAH7LHaBfXdzwqSLSR3rRH8X+l3pZOVZJf0hvPc2gIPCvFL1+hQhu0aT2hpxHJxsf2x4vUU4tl3cSNJ7OfusGyrNKwHrwtci8yfPAKBW+etRjIXVIk6fjB72vHlImoXkJ2DS9w9ppfk/Stoi1/Q0tJOXF4b9Sn0DqycmZcphMUFAGF6f1s5wwvbHSD4H28yb96HfRUlm1aIIYKrwetiTRQeFzDariK3hpITsXrsZFUtk9xm/gvfo+4fXf4JjjkOEqzBXHSfpvAr97QVX2Tg8OhbbvKPVP3tp+Ndv/IpkSsUwT7jO4kkE8B2SVRRgq/Q9BZz4Phna19/XYF9bU4wlOZmcZLE6fM0zlHF7ZoLjQ/EY2+K/dDLH1ABmocVBsg3G9AA+XNDvzQBWDO2vQyt+0CYGlcX1c8f+lOjvBDiRDLTowKFoKSqfiOjcNbV7A2FKJKcAsBuAXn32+TEfUjTmGOy/AMvKsM93ncR7fYv10xV9LpP0d5K7SDq6YVezsiCpDehIbKvsL2rok3tbUmlS7CjCyWjZLCB5GCws9jE4BjNsxGEAE1PxhxQkvUHyDwBWoZNPb+kHaTjgmwBuJfkEfK/MC+AbYZ+aj7eOtL0Xx0Tuyb3X9rohN/EIOGZ3aejjASYEXIqIuSlI2hoASM6Zi9WA5IcajBFqCRh9Q52V2n8Mizem8K4kZWtwH3wR/6KFc+YE8GVYyfifJGdHMd9mpO8hf2E9LsG2AE4hOUN4/QqAyoTvUaE4PNrAAZdp7TfYZ2VgOvtrE9gJ+y94E/MtSclsgEkVdKmPVWBS8jPwBvJu5TKfWENOvoexnAirHz9U0mYoi5C5EuJsoDw72jAc57nCGMbAmT7nRMcmA7Bc3pBnTQXo8JxuDAc47oKfq8slvT24XzQ6QUe6zoSz01aFM1OPKP9U1z4vB/AddZa/XhLAAZLWiY5lJOP7YZLxGLRIxr+V1DQolvVfOlfGhlrq3n4/PM9NETbRc6LdwZsqg3UQXErjLHjd2wQmoPwRzrZcJbQ7G8D1CXLYtgA+J6mQHFlxvDfUdFjW6Xs2AEuFl3epQLWI5E9gxauMzLIxgIck7TOIcY1mhM3zKzB5d1e4VOwfJO2faFu4rvSy5rBc5bov5bBGGiEJYilYOX8xOoHpoF6fp9GABBGhaxloOps3Uyy6RdIDgx5nXeT2Ch1QlFVf1waLnNgIAcPPwvPytRUducMODlgZeFBge3bxUBZ6PxIRGCouBCL8qnD5xYeb7idLvmdOAIcpUvjhgBSgoz4WhIODs0n6JMlFAHxJ0g966Xc4UMUm5Cgpv1oHdILYiFaaqgK2FB9itQegRPHhf2gHW9V8ZoFt1QdgG7yRQsRoQ7hHLoBthVGXODRa0atNzGLF4cp7gQbfOcnNtaMBdFWBFeHn5HqYtHeopIUSbZeCg/kzwj62GWCb4Y6ozYirL4dx7CPpMBZUCagaVO1xDBPRSiSLx1BIfmGNKlZ0Rajfw75OwIS2JSWt14exbwHgYkmvR8fWVivZK0vUvkrSZ3v9vuEGyeUl3VZ0jE5EOE45ZTOSn4erlX010edq8P773/n33g9gQgEwdSwcr6Ok2HVe+W/AIOMsJKeHK5+sDM/3s8D36la5drHq82Swn7OvsR5Wq+g5BsAGqkbOHDgCCWJMPB/+D91Bci04WTuO349aoj/JuyUtxXbl05Rt2VGCvaC/pQE8oxqqpyTnVaiMV3Zs0AgEzgXDyz8qp1bbsM8lopfj4HMxoR+xkTp9s6bycYXv3h9W7XwRFiZaPJCoFgBwmiqWHS/oe3dYIfnDsH2e+TxeA3CSEgTRaG+/K5wceFgvcUzWUFRuaPfOAuBItPzUV8PVubpW3ujHmKPPJAVYNAxVinoFyW/DiXCvA5i6qV1O8nnYL5skBUs6KGo70CR9kl+F7cirMYIKolVA8hFJnwj7olNg22Z7OZFuWDkEtFL7kwAuQ/t5ey3RdhfYF3NxOLQugGMkHZtv23AsU8LkaQJ47L+RYwMAHICqetT3f2AfzjaS3grHeto/FHBhChWESX4LflbXgJM0tgFwlhpWmqKro+4EV5x+AhbqfACOg+0v6axc+xHfM5A8T9JGIR6f8jsV+tbDHo2qULk0xmhRHAYAsLqC4CDHkCzTCmDUEofVQBmY5LSS3gh/L6D2MliPwdm/62TH6dLb7zcwLGrrBBLaTbADKY8sUzfO0kV4XaZmWQcrAPhaCDy9g5bBGz/0E6O/38p9/v2QATAc57kUcpmVbyDK1ApkmFT2Xy0F6OAQvikYeavBMvinwFmcA8coCWzERsGRcIbmbfB5WbxH43we5UjDACDpHpLz5A7/HCYZZ5vNiQBOo0nGByKdqVkZmYMgEJNiB1amQAySm8Jz9ry0GnWG6VCsWj0rgH3Q6Rgb9ZvMKiB5MICvwRuQbL4ryt76gqRlotcnkrxD0vdJfic6vgeAi0huhpZK0pJwBtn66B3jSR4NJwLEAYteFbQ3gkuu3gjPgUeR3FvSBfm2kvamyxKtENqeKOmifLv/EuwHZ9Q9BGBHAFcoRxqPEKtwxOh1zXm34XuTEt6W9DZJkJxSrgzQEfyf1MAG6gXB0bo9nOVNAGeQPLHpBnZQyILSJOcF8HzmUCE5FZxIE2NGtpc6a3udCMjeBWDx8N4jAB7p8/D7Dg1eGbivILkuXJ3kmPD6LgCzwmtkUVZ2XdxDckYAJ8Hr5RvooxJVhL+ipeqfYSAK0BFOgrP8TwAASQ+SPAvAwInDbKl9J6HuRNkqe7wXaVX7LIEoS/4dzThwpAdQBZo0q1GNNjwPAJJeDISoH6NzDpiUsQicwHhycCqfApMZUzbm/9DCeJKfUnnifMo/DAR/UcHHOvYC6I96PuAKQr9Ee6nr/zqyePBJ7ItOsY0in8QesJrZbjBpbzUARWUW7w5/vgErBKYwGtSXgda1zysHDRskNakyVKeK1TZw5YPfwOf3ZhRfl7o4CsA3SW6qVtLF9wEMEYdDQPzfJGeoG+waBTgKYX9UcOxTedIwAEi6iibFpvA1AMeT/Bccs7kFrtIRVw4Cye+VjEuSDq4w/pHAeyTnl/QEAJCcDxHxM4euSopDB6vNKwjf+WXYTvkgfM+/bxRaMVgV2lujf0dL+mtBuyFyoKQJHEx1ya4VPUPsZxcAI0oczj+r2fkYzeTX0QKSx8O2xaqwnbcBCvwGbC/9PQQNfwLom4GwkqnmLYu0wvw1gSiTjzPkSXTHo77q6YXoXJsugJPohwW08uRpMMGZAOYkuZV6U16FOkWAbiPZsc5G41gfFpp5NbyeEcAqki7Ot63Z969YQfm4KiT9kOR1AGYHcLU0pAI4BsUVVkGrCW+LzhjiNtHfRwI4kuSuNXzYJPkZWIBp23CsF45RZUXlunZviMFvIWmzro3roYkK9O5oCbCsGvgDfanQR6uu3gHbhTerVc2iaX9rA/i9pL+FQ4cCmAPmSR3SQ9fPV13fBkkaDvgUvKdcDd1j0CON20leDQtmzQRgpbBHWgGdHKFBI9vDx/eu4KSGPHYAsHTEQfsRgPFoVRbpFUugVV1iEZJt4p8kN5d0BgtUrpVImp1EMQhV9QwPI+w3SW4U9miNjHeSO8FE8vlIxhye6WB+UL790TBB+Kck14ATWhYC8D1J1zQZAwDISSNDsSCSt8PJjz+W9MdE+9GwZ8h4Hmsn3kuKeDFXgaXuHmNUEYcB/AzFCoKnwITeQWNQZVr7DqaVgalq6oe3hY3TWfCCHys5fSX0ewOdqXsOGk4IoxxDZD1JB9AZFB3nTtLYYRjLmhXajDixdpAYpvNcBVU36JNJuhoA6DLmd4R2jxU5vwJBZx14Ql8cnaUTBokRD2ygvXwSALwMB5wOR+/GedkzkA8s1iEZ1wbJL8G/6cNwWeO54fMfq/aNhwPps6D9vLwOoGNsAWfC9+XaAL4OG+v/7DKWsTApLFbwfab4EyOKjQDML6kKuXJiINdmRNrYITbkoJFVI5cjuSpaJIV+ksOWC//HRlc/Npr7A1gqkNuyAO21aP1eMChnS7otEPmyspcrxQGX/zLsGhxfQ+QzkruHY20Y4JozKELyaMJfg1P1YnjNfBm23yd1NCEibAtgmSwRhS6vczscGB6NOB+teQtwMPZ8tNTNASfSrVPwOhWQnWT3CGEtGJVk4Rz2QXsZ7ClgJ9m0cLnL83v9AknfCH8eH/Z/06dspbpge8LaGACfhrO5Y+wJ4GJa9aFDAbrXMcCqGHfl7PMJfei3Cn46DN+xDZzQeAR8rsejRgmqkUCKLDOaQXJ5APdLejOQtBcH8PNRbFOPGkhaK/p7Ikzi37v4E5MWZHW4kwCcFIL2ZwM4guQFAA5We4L+fz3YUsmYDMDWJJ9EQeK8pOnSvZRilpCEEu8FFoJ9yr1itJS6HmlkPom1UMEnUYW0x/ZE6lQfX4r+bkKW7TskXRb+H06fXs9QUPMiOZ1fOphb0PZlOPg4CPwF3kddQPJASecjvad4G8BDJK9Bu3924MIHTRDINMuhsxzz9ABi/8PkJd0k35O0ZfiOD8P+r2Ngn2M+tvcmOjENfL5nhgn8oxF7w3GoJ+F7YW4UzBkKJXTLUGdeiXAYLKLzvksKGWTMJVu7SU6jlkBHCoMkL2fompgUUDX2M0jE52oc7Ot/3917A8JykhahVeoOCgkXHYkDAXFp6XEANoTJV8ONveBY9Px0NYZZkSb3Zvv4naNjApAnOo+N7teNYRGRCwFcSPL+uGEgKX4CwAxsFwmYHsPvpz4crj7zxzC2BeH9U0/kZZLxNR0T+isrqX6AItEVSa/QgnIdxOGafX8r+ntInbh89OVQQiFf0p+6fOx0WBzu83DMajPk5hdakf/ZjDRMcssw3qdRoFoN74O+DeAiSY+EJJ8b6v2iNpwNC0q9CJMgbwljWQBpYn1lBHLlurCfrJ9oMuZBCrAsDGAZWPH/p+F5f0BSU8GkH8F+26w6wJmw4vUn4WvdlCs1mmIH6wOYr2IMekQhabuQcPEuzCW4IOzjMmLgcGKuKHkBwBBBMQUiShgLf/flHiB5Osxnux+tJEOhXfxzmvB/E5/SpISvwwJ9c8BCLVfDBN1+QJKOJfkAgMtI7ovmApZnwUJNh8DJ/hleL1hr/gzgcJKzw7b6mZLuT7TrCSFBoltMbaT3DGeQ3AHA5spVxCW5Cbx/zeMStCqwvJN4vxSjjThcVUFwkHgrsMgn0DLOL6DTMB8tqKwMTHJqAO+GTChIWjSw/M9GeyAawWi+iC6Vsx4czJ2N5HGwUXj1oH7QcCKQhfNKzReO0FiSCqW5NqOFWPt+R9UNei0FaJLnwkb8lbCD98YQPO0Z+QySoUFEGSSjIbARMirHANhQ0rl97v5uptXqtkVLaTZDHZJxExwMl5y5VtKnA2l107hBeOafBvAZknMD+Kik/2fvvMNkqaot/lv3Ei5BUARRHhIkKQpIuEqSaEIMiCKgBBEFE1yC8gT1AWIEURB4kpGHCAJKVImSkXTJyQQiqIhgAEUkrffHPjVT3VPd07G6e279vm++mao+VX2mQ9U5Z6+99qVJXD4fISCu56W2T0hCyMzBuln29G7A/sCfqc2eHNbSwHcR5QMfbaHth4hB8f8S/9P1wHbp9ft0fWPbl9PdQkYhLSbqdMK0TDSceJxYnMpzGOF6Xs9T6bGunLNHlB2Jz0WeDxfs6xvt3quTKPxjTLx+9130pVoX+Am4gXN2bvHpAEW5+YWpc9kfRToUIohaJ6TnGa7FsHrmyi+M2X4mZSST29euk1h9YLwGT50s7kEyj+2HctvXpAWKv6b5WtckwduEfe7S+YXxhDUTAZMf2L4u38D9d4B+TNJyjLv7vJ/kgtpvOry8aZoAACAASURBVBHIqtZlc/66APuEoHoSr07mXDwUqLmDaK8EA/3gu4TYYTVCyH8CEYzbcKC9GgHUvjvpSJGSNDcnxE3LEMHwU4nA3U8ZL8NbERS5ZPSSqyV90amUoKS9CbHcyt2e2FGt4dv0Pvg8arS0JtGmaG8d4CFiffoGhnssDXQsShw4kl5H3L8WSduPATs4qoZkbcr432z7FkkbAqdJeiO1wtqMn6SfUWEeIrFvLmoD1U9QKxD7taR32P5p/mBJmxEVuCaQEpfeRLikPUYkjV1d3872obljXkSIfHYiTGEauRkPDElbJeH4/UQp2pVgrOxwYaBT0pJEou56xLjyGqL0eN7ptpPryp+nomi43yTB/AnEZ3+pNF7eNZeYCvQ3rtVOYlKi1dhP38h/VwEkfZOcyVFFU7I43FMpmeJxoLBSjMNdLs9hkq4Bmrmz94ycODO75+1KxPAuJkQ+Nbj1ijftuJ6uRIzBX0xtrOBJYj26TOZ2ztXP9q8kNUumaZXZxHdYxLpTlqDUiKL130ZamZbP7Tadj/vI8ra3kvQe2ycrKm5dVNfmGGpdq7/O5K7Vi9cl9N0vacJYpFXcoaNyG1yrHlcK7bDP/TRgeZ4QZT5PxH//TGux1UbMRRg2vYhIyLjG44mH3cTNN+3i2F5zO63HoAeO7Stym2smMeUj9SLeEjiW3D0jac7OBd5S0PYU4HpJmd7qvfTORG8tYOVm/7/trOJgT5y9y6AuSWUCDYSqK7nOVV1hfDHBxbeTLqXnvTbFa84AXt3JiRzu/v8gaWRyOrgFJS3oOlMOjzviL03oF09SOOmfRlR4myx5ppcMes5wByG8vl7SXmnenNFofjtpBZZmDJtwuCUHwT5TVpnWXtCOM/DPCRHwIzBWjuMTRNbZnhSo6h1ZwqcCp6aL1lZENsBIC4fVnVNzv/rUikNpRQm0MUFv1wH6JOCDthuVWuuGljNIVFwy+R+EsOOYFBDrGykx41PE966X7EEkPHyIcaHwWsTCfX2GZTsi40541vbjkqZJmmb7coUL5QQkfYxY3FmEyJRbkig3VTSZyrL0/iRpc2KCuWSTfswiBo/DXq4642vArZLuIvc5LgpM2b6fxsLYa/rTvVrSgt/fHCXPPwBsAPwW+N9GAY7csRfYbhY4v1DSRYyXHd+aEB/k6atz9ighaVsiCWjZukDnQgx/ufZziYDfpTQuxdkvmgUOJzhnS1rI9hN1E9nMyWVBoEx3lmHhJOAGSZlTxRZE0GxY+Yukd9s+D0DhvvBYl+ecTrz/Qy/yGGFekt+wnU+QWaxHz5F3AJ0BvIEYE3Uk7kufrSVtH5W2byT6akn72D6r/hj3zwH6U8QC56sl/YEI9GzXh+dpiKQViHFOvXhywkKTW3TZVK2b8wQ8hG58rf5vQ8hztp0+14cn0dyOkx5VAW26k44gvyaSEw+pS4o4qyghY04nlzC/NnC3w7E5E7etTCTWdsNGhAHFVkTVnXuJ+1nXtHMdn+K0uibRjmjv5UTAMZvT/QQ4LS9mHUJGTuycOBbYKyVWZyXDj6O2IkkZ/9ufAGw/JultwDcYrxA1xiCNDzohJ6b/nu0H1diBdU/ggrSOlF+/XIfGCRaHEetNRwOX2/5do36k+fpeRML9ycAaDgfpYWRfIib1I9tr0LgCW56TiADqVml7u7QvL1zo5Lpys8L04xxq1yQbOZlWBIcR8cXzAGzfPoAxUFuJSW3EfspkfobXvGrYuCDF7w8hKhaZXLWJPKo1TJhGXGvLnJOOiTOJe+3naSLOTEKsvQhnx13S+HMl2xfUnbdl11Pb5wLnSlrH9i96+c91wM2SsiRciPtU17G4Dr7TN0v6FmHuZOI9KexHO+dW+87H/SIbr/89JY09QiS55mnZtTpHds+ebF/LuDNH5VbpS6XQdvvs/hqwPEHEZr4FHNeDOPCPgHuImNrfSGu0igpxHa/jNBA9DorFgfsk3cQkMehhxHYpRhgFPCbpCNu7pXvwBcD3ihraPjh91t9EzCU/7vFKRN1yF3FdnfR1kPSdgt3/AG5O98ZSULizH07M9V4gqpXumTQOGfkklaWI758IkfvvKU6QOoKoiDfZvnb6mpkD/Tj9bSJ2uDORMNExkt5FXKta0sGl9cNvAN+QtDpwImGUV5rJ5hDMGWz7uJSEdKqkdwCfsv0UjWNCrVZgKUTlJyU0pu7LkzkI7gn8AVjTdilioFx/lqFHZVr7icadgbclBj0nU+cMLOl226ulv3chMkPeYfsvkm62vVbBqackkl4gJlM7e9yp+f5BLvgr7N43oc6h1PYukxxa0WPamKC3e94divbb/r+i/W2e+y7bExbZG7Q9nBBu5AWJjxAutwvZ3r7b/rTQhy8Sixo9t/dP353stbjbBW51khYHziZKfEwQGdt+pMs+XEpck78GLEoMgmbaXreg7W1EMPMG21kZmDttr1LQ9p3EteuVxABwIeDATABW0P5y4C1OTvPDjqS7iQW1O8k5ervArU8DdGlNz38U4dw8gyh9uyAx4V+XWHj5UJPDkXRr9n43abMlsD4xQbjKuRJa6fHf2F6+wbENH5uKpOzDZSkodwLcMczfAUm32X79oPvRCpngXdIDjE9kx37PgcIJYCwQkf+u3jrgLjVE4bp6KjFBFyEK2MFdlFKXdEsK8lb0CUmnEpUq6hOedgU2sr1t8ZFdPecrgYM7Pbei/OY2Tk7JabyzCXG/PMl26W4Tac48LROqlfzc1xCLW98mEp92ItZi9u/inHnh6oHp/GOMmthmmEkLdBcS79sGRMDktqLxekUtkmbbXlNRSjgrZX2l7ZF2a5a0pO2HFe4Y/6x77F1O1X4qipF0KyFky5zgpxHBm67HE4ok5X2J+eS2tnvhttKX6/go0uqahMKNOxPtrUqLYmBFNa1tCTHQl5zKJw8bnf5/gyYfG2i0r8z/LSUNuP46mnt8JAX7yjmw2i50YE2f9Q+SW78kKnM0NHOQ9FpiHLI+4c77y/o1XEmHAFsSgrSjGr22w4KkS4g1vdWBCZVOikQcRWsozdZVWr2uSDqpYLfLWmccVSTdYPuN+XXOomtNn/swg0hQW55YUz6haB1Q0ia2f57WWydQpkhc4y7JEAKIxYjP55Fl9WEqkL7fMxxudkWP56sPPgf8Dvimc663/aQuJn8U8BfbB6TtomvZD4lY1Q62X6dw+PxF0fVNkYiXuZ7+K+1bkbj3THBUHXQsJfVhXiKxe2wNlRYMWFo479yESVqWtHAFYZD0bIP2CwBfJETdIozSvuyCZJ92zl23Xp65E39pALqWjxIC0FWJxJoFgS86uXCmNncBr7f9nKT7gF2cKo7Vx5oVFRHeQVRtzptBLUQ4f/YkUbMd8vNwSct3s67dL9TcQfQ/RZ+3Dp7jPcT36Q1ErPs6IjZxWRfnXIYQnz9NfH42JsSa29n+bZddHjgKM6gJFMWgK2qRdCgxJ1sLONSp0lNBu5nAvbnv6IsIjc3NRe3b7MPlRPLNjUwi/JZ0LOGSmyU3vI+Yc70SuN/2Ht32pxUkXU8kqmSanG2A3Wy/saDt0cB5TpVp0vX3zbb3zrVZh9Ah7EFtRayFCH1Lx2NwSUXrW4sQSYIH2D69i3O3pYNL99+3E6/XpsCVxLrEOZ32IZ13AeDfDpPDFYnPyM8a3Nf7ohdro69jcVdJcwFfJowSdwC+W7SGKukeYk70AM0rsBQ/p4dAOCzpG7b/W+PliQbZl/cCP88mG4rMiY26/SCWhcadgbd2rvyjpJ8TX6pXEgtIKzlEw68ALmr1AzMVSO/xNsSFNXNqPt4DzBxQEm+nC+fq6YJ14yAG3XM67UzQ2zxvfmFyBnGju8V2UdmXds99LHCEW8ggkXSV7Q2K9km623bfXa7TJLqe0kVnakFk3OF5FyCE0dOIzOmFgVNdkPFZv8Cabv639OKarMjgXokI9OQH0UNZNr4dEYGk64iA5WxyLq2OzOi+I+ke2yunxek/AC+z/bwkEULVpkISSSdOtjCnELi/gVhwutFRyj3/+GnEeKXIOfuttrdu/z8bfdLrNjNtTnjdhg1JXwauc12Z0pKeex/bB6e/a8bgkr5qe7+CYwS80nUlZOZEksjlDreYuDNMSFqQmAd2LaBUC4kQFd2hKOGUOV9lAaA1gXmBLWz/uQ/P2dL9rMnxN9memds+0skpWdL1ttfuUVdb6cu8xOLgMtQGyL7U6Jg+9CETT44lh0m62vabenT+6nvYRyS9nBD33GT7aklLEWtEXSeATnWy77uiksZ3CHfSs2wvN+CudYWkXwJvc53jo6SPAJ8f9f+v3zQQSoyJy7s47yWE88zuhAvuiUTg9DPdnDedu6/X8alMK6K91Gbz1G4ZwrnyRNt/KLGrHdGqKHEYUFRJuYVxp7/tgLVsb9GgfV/+N4X73SlEEFJEQs4OrhMna0QF+5JuIFwkz8sJKVs2fGhwzoWA9YANCfeuRYHrbe9Y1+4FYs7wHLUuRFnAcKFO+9APJM1DuGKdAny0/vEiEYfCrOF7jAfftwV2cl1i4ihfV0YJSWcR7mFHAmsT9+C1bG9TYh9+SIicrgY2Ax60Paug3YG299cQiMQVBggZzwF/9hCbHgwDSYj0kJPhi8Kk531ExYoDPFyOlkB74sy0L4sR91yIP+hYSj+RdDwwN2GoBrA98LztCfeVYTr3IJH0eUIM/BjhbrmGbStcq0+2vV6u7WqEUO9LwP/kTvMkUQWh9KoGSUfxAFGB4Gv5+bekJYlKndek7b0I8TREklYpImPVCsnzmPhMAXzO9qk9eK5XE/e/PYg45XzdnrOiAkBRLX1skzCuuIHQHOACUzNFoviatl9I29OI9dQ1e9CfloXfSRf31mx8lbQXFxNJsnfaXrnb/rRCpgGp21cYG8nWner21Zh/ptdgIyJp7uhc0yeB823/upf9T8+5CCH47cbNuCUdnKQsiXlzQiB+OnCOe5Bskc4/m5hPv4QwsL0ZeMoFZnD90ou10dcJ8R5F1agTgcVcUNmxbo4xhlMFuMmYa/ImpfAOSV+gy7IGPWJ/51z9bP9dobAfCeFwmiAdk37ybEVkxv2KyCy8MH05NyZKpMwxpPf3bI07Ne8JLC7pu9Q5NZfI35OI4yrCbvxRYtGgonyWs721pG0BbP87iSe6wvZu+W1JCzO+WN8t6wMfTpORyTJIFpO0VCb6SoHvRdNjz/SoP03x4O39AXCUZ7x80oYtkibWi3vc1egF4GRFibYXA0WlYq6UtB8wXxoQfRIodKiStCxROmkZaoUvjcqo/D79zJN+hp3Zkr5GLObnhc4TsuSB+W3/d2k9m8jTALaflvSg7efTtiUVZrPnaUE0/AEiOHcF8X0+QtJnXVvafQ/iXpYv6zXmnN3m/zPSSFrC9h8VZYm/SfPXbdiYBewn6T9EoKPMgN42wMHp7/ox+NuBCcLh9Bk/mxAtTknUYtZpevz2/D112KkXUGbDm0YCSknrMvGeUy+UK905dk7DkQCxrqRNGC/f9BP3KOEJxhLcMnHBNML16/YuTvmS/EYmGk4s1sV5O+FcohTZbHLji5J5Oi2U/lrSp0lJRz08/+CzwacwKTj9rdz274FKNNwaX07z3r0ZdyctxdWjz+wJXCLpHdmivKR9CYH5SLspl8T9knYHvpu2Pwnc36R9qxzlcdOHv6dxzL49OC/0/zo+EqgNt7oC0d53gAlujpJOJhK6f0a4F9/Vh673nFb/vyHjI0Sw98cw5vS3U32jEv63Y4G90ppcFvw6jvGS0hnz2b5MklKg6wBJV1NXZWEYsf1Q3VLy843atsg1uZ8jbT/c4Hmndfk8pWL7GUWp6KuLAv4N+AghUv02MQa+Lu0bo5PrisIYYGdivpV3uK4ch5vzcaKC7H8BDxOCjE+V3IeVc0k9JxAigwlkSQe2J1z3ykItuiNXFHIM4RBLirV8nYiTvJ64rxSa80janInf67KSiE8jYj+PESYzV6c+LU+sUdTzTBKlZFU5lqN3axiDjqWgqFxxEFGefC56twY+s05c/fOkfah//sNs7yHpfArWUBrE2Fo6dzp/W87H/SAJyv5m+44UX9oA+A3hTJiPt31F0mWMu1bn1wNr4ti2bwdul7S46ypbSZpF3AP6isL18Znseml7NUmfIL5j9YkqhxDV9jJ2Ja4R8xPj4KaVQnvFZDHwNK+6ktq+toWkHxHXwN8Q15ftaXAPnNORdI3t9SU9yQgk1wFIappYbfuOErqxVd32ncR3aSvidSyqhjwtEw3DWAxt7oJ2bdPGfAFibLoA4/fbBYAlHAZgfY8PaNx1/HJJnyMEsCaqgP+kwWGPJb3k91Pb7ajTlaTX4EpJ32tVDNottv/aA51Uqzq4/YikkM+4P0lhsv2UwoDtCNsHJ7F7EX3Ri7XBgfU7bF8haU3i3jaB7DOhMCKaUdSmGcMiHL6QyGxaQNIT1GbgvGB74RL7UrTAMiyvU8c4nC6/nG1L+gWRqf4Nl1SaZdhI2QmnEheozKn5c8QCR9m8h5g87sm4Q2lpLlgVNfRzgp7nKaK0XC/YrI22ewPXSPotca1dFvhkEkqVUtJYkRE+gQIx0qhxGAVCO+K9PoxwSKnnc8TC9J3Ejf6nwPENzn8OUe7wfEKU3BTbEwYVQ06WOZXPtDNRvqKeC1KgvnSX1sTLFNnKyv1N2u6FIOrzxMLUozC2kHApMCaAdThMrqta5+yeCslGAUlvIIKdnwC+wCSv27BRlBVYImrwd9F2nuslzbR9Ux/6NAxcBbxJ0kuAy4is060pXlh8BXC3pBuBsazXJgkdg6ZlAaWkU4DlgNsYD3SbOrFcnybwFQWk63u/rvFZuTATizY/sH1dF+e7QdLHPNEVf1fKX8Re0vbbS37OevYgFlZ3JwJlmwA7Nj2iYuAUBBTGHmJIAwvDgqQlbT/s8fJt/yCS1pFUNCcaKWz/NAUafiZpC8IlcSawgQfguDSCfJwQIn6B+I5dBhSWJ2wH11WKS4Hlg7o9b6K6jgfnEkHpS2kihGxTtLc9MY5eEdg9F4cZ2mvtqIqd0/Vp92ZtSvrfFshEw6lfV6Q1yXpGVbD/UEpcsMJRd3fg3m5OmBlDSFrAPXJbGhZS8L7QGalB+98Dk823O7munALcR5Ti/RIx/+/qfZsTsP0YJYmwmjAmynM4u056wADFpCdT6468MmEoUDE503PrT1sDxzrccn8k6baiAxQlv+cn5iHHE+Li0tYj2hFnJvYntBKvlHQqEb//cI+6M+hYCkR8bEvC6bGXyc/PS1rO9m8BJL2K4nFqZuL0zT6cGyIpcm7gf9P29mlfKe7Eko4CVgVmKCrkLEh8ntYl3AlrrtW2r68/h+1fNXmKvAFJxocpQThMrIVuAWSO4+8lYkFvIzQVeTOU+jLyT9k+NB13dQl9bQlHRfCOxPxKDuxEAsUthLjwfcQ4+S6S6VFFDQvAwGNx7XJU+j0vETu/mxjLvha4CVin3x2wvb2k6cCnbH+nxcMeSML+Y4n1nk8Av+umHx0Kvw8GbpN0RWq3AfDVNO+8tJv+tMhsal3H80JPU7xWtS0xFjg7tbkq7RsjS4IBjpTUahJMVyjMbLpd63wPcW1qqoOzvXGXzzMZkrRO6sPOaV8jHWhZerFC6tc4c/v/Rlz/J6BwCT8UWAJ4lEjWupdxM6KmqLfjs+6QdK7t9+S21wc+aPuTJfbhRODvxAXZxAD+JbY/XFYfKuZsJC0KPN7jyVNFiyhcX79ALNxcTJqg276iy/PmM1mnA68BzrD9uW7OW/ccNRkkrnNATAvuaxMDllcTA5b7bJc6kVC42mXMINwKb7FdmBk+KqhJ6UHlSpp2cf4JJS0mab8YsA8TF0KLhLgDR9KrbN8/2b60/0lisjcIl1YUlQga0q1ou/7zkr67t3f7GZqKpOz5JWwfNqqvWxKorkDt9/SqEp73FqfyMvm/i7brjruHCMA9SATjmrncjxzZ/y5pN8Ll6mAVlIVJbVsujzQMNLtPFbS9l3DuqcajUxhJ7yGEtUel7RuJBBgD+7hDx/Y0Jj2HuE9nlQPWJBY7t0jJL6Ug6Vgig/zOsp6zDOoWS+cnEtVgiIVWFXMOKVD5Ntu/q9u/E/AF50qJjjJpzfIcwu3wA2XPqytqqbsuzkME7v9ZshnFlEbSbW6hLKOkFxhPqhsJR6d2GLX/T1KRE9QY+eBiGf+booLNLYwLeLYD1rK9RV27mUSQ68VEYHVh4OAiocswkdb1DyecMUWsLc9Kpi75dpsA19t+auJZJpxzHcJIYEHbSynKhu9aZsysn0g6lFgTOZPahNwf59r8T8GhuabuKlEkm/NLusP2qgpntIuGdQ110PT7/WizL88z/rkRMB8xNyq8bjUSk9remT6TX7dUlMy+sdHaW0Utku4CXp/E4fcBu2Rrp43WunLf5+z3gsCPbb+15O63jKSXEvE7EfeIx3p03oHGUlIfLgc2dc6Jskfn3RQ4iahgIkIks1M+SamufTv335bPLel217oTF+7rF5Lusb2ywtn8D8DLUnKOgDs6jY8onBY/SFS9zQtvXwQ8b/vN3fa9hT6MvY6SdiEqoLwjiW9vtr1Wru09tlfObS+SJR3UPzaqSLoFeLPDBXQDwsk0c2B/zajH2ftBs1jXsCPpNMIE8ra0vRoxtyitKoakK2xv1GLbxQmN3UbEfPJyYLeSYwECliTMUd5AXL9vtP3HsvrQDZIWtP3PBo+taXt2P+KSku5kooHGIsAfgR1s39fBOY+ke4OanpFet72Ba21/IyUE7WF7QoK1pLcSJm95vVjD8cUwoKiKsAlwaZrbbgxsa7sls4ahctK1/R5JryfU81sDDwA/KrkbuwFfBH7I+OJO2eV1KuYQJK1NZAX8lVgEPQVYFJgmaQfbFw6yf3Miti9JA+9sgj6rRxP0fCbrc8CDblBarl1azSBxlIQ41PY6dFd+uits12RUK8rXntKg+SjRzPZ/vvxGWihpJMay7aLS74cnwerF5LKabN9S0BbCUf2HwDsJV6cdgb806eOgOQuon7ydSQiNavCAM0O7EQZLelGconjgn7hQ0kVEuSWIMdHPOn3OqYztMyS9LW2O3Osm6aOEu8iShLPr2sAvKHba7jWrabzSx3zpb9J2s+tZOy73o0jLWafDKhBuwnWSVmlRQHkX8HLgT33uU8Vg2Yfasn7zEPfdBYngSEfCYYfz+7opIJONRwflir8+8GFJDxDjp9KTHSStCHyW8ZKcQHfJXIMeC1VUTMKewCUKV6tfA0jalwg4Fi5ujxI5gaqIhIhNgUdTcGLoRIPDRromfhdY3PbrFCU43237y5Mc2pT666LCDfoN3ZyzHcHlHEJLbnW2i6r5TRlG8P9bh3AlOw24ARpXlynpf/sIUXbzx6kvVxFVhOr7klW4+WfR48OKW3dg/TBwtKTHCSHO1cA1LnauP4xw1TsvPcftSSgyVViEKMObHxub+IxkFDktL0DM2V9K9w7zmWvt3yW9jnA1XKbLc05l+v1+tIzt6W0esm5OTHpgEq7/eNKjekPb7sgVY5xGlOZ+jKjcejWApOUZL0Nez7/T76ckLUFcZ5btd0fbRdKrbd8nKYuLZOtwS0laqknsp2WGZP1gH+Cnkq6kNrb1rW5OavsySSsAKzFulNTMEfDDtHj/bfPc7bgT94OnAWw/LelB28+nbUt6tvmhTbmO+EwuSsSgM54E7ujivO3weIqLvpJwrV4piYZfQaxj5nlS0opO7sk50fCriTHlVKBtB/Z2UDhs7gEsbfvj6Tq7gu2hjrNNQr5q7AS6vQ71mddkomEYmweULYK+RtLhhEg9n+Q34RqQBMJ9Ea9L+iZwou17mrVL171zbK9JVE0aKGlusTK1xlETKnArqtYcT8RlCpNFbc9Ov/sRl3xn3bYJo8tuKt78Gjg0Xa9/CJyW/zyXTXrdrsxt30+Dqky2L5Y0m97rxfrJs7YflzRN0jTbl0v6RqsHD4VwOC0ab0MIhh8niXbdfzvqCaQPf88cQCsqJuFIYD/CNeHnwGa2r0+D2NOIUiIVJVAw0OrpBN32lSnTamba9etuzlfHQcSNqyaDpEHbiyW9j8iuHhYXwacIZ4lR5yYVl+XemXB5zvOZguPXJhZQHm1w/lWIEkebAFlmtmksMHyp7RMkzcoGQ2lhZqhI17vXAgtL2jL30ELUiRcLFtJq6MVCWr+QtArwf0RARJL+AuzogtKftj+bXov1iQHpsbbPLrXDI4Tti9LvUXzdZhH3hettb5y+D105VrdKB8GV7LgH06T1TWnX1bYHlozSB2YB+wJn2747LfQ2cqlYGziCqCIwD1FR4F9DLBiaVECp8QoJLwLuUTjQ5hf0CwUy6bv3DaIsmnLnHtbXoiKYx/ZDue1r0uLzX1VcMrotklB4EGLhPMOQ7HAmcDRwHOUGjioqBoLtn0r6D/CzJN78KDHe2aCBIGqkGJLA+yhzHJFMcQxEsEnSD4CuhMP12D5HUrfruy0LLqcydWL5/dL3eyBudRUd8XLgLcQ64QeBnxABu7sH0Zl0HygMzuWRtBbh8FOfeDWUlW7UpgOr7R3ScUsQwfWjCEOIRkmrD9WJDKfMmNL2pMJwpzLjMJaQP4sQlJ9OrZCpU45VVIP6IiHQXhBo9p7O0ZTwfvSTQYpJswR+qE3ir+6nk2D7K5IuA14BXJyLa00jzMCKuEDSi4FDCKd7E+PQYWMvYBeKvzvNYj+TMmSxlK8Qws0ZTBR7to2iMsFDth+x/Z9kSvc+4EFJB+SElTW0cv/t8NyfBS6XVONO3O3/2QaZMFLUiiRFVBbrCNsPElUH1+m+ix2zFfAJ4FeE2/CFClfFjYmxYp79ie/+V6itgLYfca8aCJJeY/ve9Pfa7q6CxnRJc9l+jkhizjtJdqT7krQZcKXDiftE4E4ijgDhNnomQ27QMwnTibHdKM7nf6Woa58TVAAAIABJREFUlvB94p6wHfFdKJPMACB/LzEwlsgoaW/bh0r6NgWmabYbCrfb4D7gOEXVhpOIOW2j5KHrJc3MJaMOhJT0sBEhHP4pEae4htAK1PNtWkwWlbQecADjc+VsLPmqTvuarvc9xfbhhCne0oQW9CSFM/5pwOlZkke/kXSY7T1UWx0+388JMU9JlzlM/n5SsG9Y+buiwsZVwKmSHiXMLFtCw6AbU5TBuhrY2fZv0r77u/lwd9CHtj8wFRXdolyZP0n32n5N7rHCstgV/UHhAJuxJnAz44NIu8vSZJI+QCxSXJHO+ybgs+6wBHTduW+2vVaaLK3ucBa+0fYEdx2NlyV6jshCHURZovx1dhoxYDrD9kgnbSRh+NnAM4wLhdciFkLea/uRBsdtSCxMzwt8tVHmpqIM16q2n2mxP9fbXlvhwPodYoJ3loesNLCiTPoWwLtJA+LEk8TA8bpc2+Nsf6zu+5rR9fe0n0i6Dvi8UxkLSRsR7/e6uTbLE85b19YduwHwB6eM9YpaRvl1k3ST7ZmKbPA3psXIlkoADwpJs4hFusyR5b2ESPuIwfVqMEi6mZjwnklc73cgMvD3G2jHGpAm6BPILwqoQZmjXNvCBBRJvwHelS2CVowGkn5je/kGj/122MYM7SBpIdtPSFqk6PFGQaQ+9WW2w+WgomKOQtL6wDmES9EHbD894C5VDAG58e/Ymlcvxr91SajTiLHZho6KS52eczrjgstVGbDgsqKiWyTNS3yeDwG+VOYcTm06eEv6JSHCuZPx5Pm+BDR7gaS9C3aPObDaXrCu/XbE2vAqwGNEAPlq278oOPdZwLcIA5K1CeH1Wra3qW87ikhakkjIXY9YL76GcHR6uK7dIoTA7kPAycDhUyEhaVQZ1fdD0heJz9umhGDQwPG2vzjQjlX0lXT/m9FEYDQlkXSs7V2GIZaSxTB7eL5bgDfb/muKAZxOiMhfTzh0FjpetnL/7eLc89K683FPSeK0hrjDCpqSrrG9fi6RcOwhBpTwkETf6wF32P5lweOvIwyasgpodwGHuMDApywk/YQwkDsP+KjtFbs41+eBdxCf36WANWw7xchOtr1eB+d8HfA529vl9AY9na8PEkm32C7bpbcnKBygP824SPcq4Ejb/258VPlI2sKRvL1z0eO2T+jhc61EJGZsC1wLHJfF3XNt7gFWJBIf/kWBgU4ZSLoTWA241fZqSUdyvO13FbS9wfYb6757t9teraDtfUS1t9nkEkptP96v/6VXSFqdSFBY1R2aW3XwnGvant0o9pmPeSZh8/yEmdRGjGvFFgJ+ltfyDRsKI6BM+/Uh4r5zaqufi6FwHCYytbYhsrEuJAZhZWd9nJJ+f7Pk5y0VjZ4z2lTnhdzf9Tf5wav65yCcczhPN+VeT5o/D8x0lG5G0mLApXRYArqOLIPkaibJIPFwuCPlr7PPAQ/WLwaPIo4SHOsqHJ9fl3Y3LMst6W2EYPhp4Cv1A9sCbgdeTGNH4nq+LGlhYG/iur8QMZAcKmyfC5wraZ2iAEld24+l36VXJOgBC+TfY9tXaKKb42FE9nM9T6XHJkwmKoDRft0eVrhfnEOU9P4bIfIfZnYmRM7/AlCUOvkFcZ0ZedL9OVtczJcPKhwX2P6NpOmOEnAnpSSBocThFr0+IW4+Kf2vC9a1uRJA0rLAnzKRV1qkWrzJ6f9ciYZHkhtUXC1hV+DGAfWpV/yAKLE1m3GXxAwDpSUpA+dL+iSRYJZ38C5NvFxRUSaqdSedlxBmPCqpclOrAHhM0nKkNS9J72e84lM35Mf8zwG/I5JTOyaN7y4kXK0yweUVkkoVXA4LCleb22z/K4ku1gAOs/37AXetYhLS53dz4jO8DJFc/uNmx/SBdh28/2K7qdh4mHD7DqyHAb8lqlJcbvt3TU7/ceBw4L+Ah4GLgU/1pOPDwUnE2H2rtL1d2veWrIGkQ4jy5McCq9juSblxSdvZ/r4alK/2cJeuHhj9ej/KwOPu3z+SdAFzoJh0qqOcW2za3oEWnGgHRbP+Al311/Yu6fcwxFIulfRW2xf36HzTc6/N1oSpxY+I73azMuit3H9bPrc6dD7uNZ0Kg1s47/rp94S4chpflo7tzAG30eN3EeYeA0PSMsBfbT+R+rS5pN2J5L0PdnNud+bAPtk570qCZIBnknAum68vS5hljTKj6DQMQBIIH5J+BoKkQpMc21/N/X1O+t0zgXCDvkwHXp1+HiN0E3tJ2rUuqXIYKhAC/Nth9vecpIUIfUejmMRDktYFLGkeIlm0UbztH25gQjeMSJobeDuhB90UuJKSKu8C2J6dfrdSlXtXYA+iGsFsxq8fTxBJh0NLFrNPnNzu8UPhOJyRBDRbEItYmxD/0Nk9HEhO9vzTiWyc7cp4vkGgYme05W3Xl3OoKAFJzzOe6TIfIXIibc+wPfeg+jYn04/sM0l32l4ltz0NuD2/r4tzL0AIz6fRIINEw1WWaAxJiwKPe5huRiUg6SaiRNAhhOCuhqL3Q9IVhMvRTbRQNn7UkHQwUZ7230RwdjVgD9vfz7XZssHhANguO/A1hqQLbL+zyeNnE+WRskSl7QiHmC1ybe6y/boGx9/Zi+vFVGSqvG4p23Fh4EK36Cw+CFKW7MycoHQGcNOovM6TIeli4IfAZ4gA7Y5E0Pq/C9peBbwZOB54hBC9fLgoC3gYSO4TawEr2V4xOTSc6QIngjRnWDf7LKbFimttz2xw7sOJMsjnUHuPGth1uWJyJL2M8fcsX8JvXmCLlBRV0SWSHijYbZdYYamioqJiWJD0KkJotC7wN+ABYLtJRHOdPtcetg/r8hz1gsvzgBNt/6H7Ho4Wku4g5umrEvPaE4AtbTetWFExWCSdTCS3/4yo6jQQtzW16eAtadPU9jJGZH6hNh1YJb2WcA9bH1gB+KXt7cvo6zChAhe7+n2KiqX/IRJDWnI8TGuI3wBeltpNaJtEBseogVNjv4RYo04n78ewIOlTRNzk72n7JcC2tv93sD2r6BXq0C12UPSzv/0UJXfQl6wS6jPAs2l3x9cLSXcBr7f9nMJ5cRfbV2WPNYoVpMeb3n/bOfeofd7aRdIXcwkX+f0LAefZ3qj8Xg0/kmYDm2SJKUk0vDXwUeAoD3fl1LcDnyMqBf8M2JCoGH/ZQDvWBZIWGbakkVZJSddfId6PvMlNx67VHfQhHxebQayP3G17p4K2ixJmZvWmPG/tQT++RSSHXwacYPvG3GO/tL2ShqgCYerX/xKmV9sQr8s/iWTsRq/d4US8UUSy6O5FfZb0dcIc9MfUzpUHovVphKRs/r85YVJzOnBOncC1jH7cSRPDThc4UUvazSNiGKCJVQHGHqKNsdawOA4DYyroUwnHzEWILOPPEV+MMp7/eUmLSZpnmAUb3eIRckab6rgkC/aKoeBCSRcRzhoQk4Sf9uLEDreXpQkHwZMlzU8MGPLsTZSWL3K5MJGs0VcUjudfB/4KHEQEmhYFpknawfaF/e7DEPEvYoD4fmKxpt4Fr+j9aFpuqJ4UHJpVtxB6qO2PdNTj/vNW2/tIei/hoLIVUQri+7k2zZxjTfmOOXn+a5LHP0Jk0P2YeL+vItxn8syoPyjHfJ13bcozsq9bui7ebftJ21cqnIlWJxyYhpWTCJfSs9P2FkRpmanCS22fIGlWykC9UlKjTNTtiaSdTxOO7q8krunDynuJz9ctEA4N6TNXxFz5+ZDtZ5J4uBELEQlw+UWgQV+XKybBUQljXUmbMF7Cr2G1hFEkBW4mkAV9ysD2smU9V0VFRcWwY/t+4M0pAXqa7Sf7+HR7Ea5iHVEnuDxwUILLIeI525b0HkIQeYKkHQfdqYpJ2Z5Yg1oR2F0aW34qVeDn9h28dyKcpOZmvGLf0M4v1KYDaxLcLAUsTSQlLExtZUIk/U+TU7hIyDOiPKZwMc/WzLcFasqp2p7WwXkPBt7lJpVxkmh4OvCE7W938BxzJB2+H8PCx2yPuYXZ/pukjwGVcHjq0KkT7aDoZ3+PIQRI2drI1xkXtR5LxKZKwb2vhHoasWb7GGFEczWApOWBhi7irdx/2zz3qH3e2uVNkr7inPmcpJcDFzGkY7IhYe6caPirxHr8W2w/pagSO7TYvjAJn9cl5gufTevHI8uoioYT3yMMt75JuOjuxMRrVl+x/Y38tqIC6TkNmn+fqLj3XqJCyo6E4U4vuAv4gu2nCh57Q/o9NBUIFRPvryWNxtGSLgQWsn1Hg0NWsv2hunOsB1xb0PaN6fdauX2laH3aZD/iPfnMgL+HDU3fmvCIpBfZflLSF4iKW18eNnE29G6MNVSOw8OApGOIN/48YlENmDpliUbNGa2ioiwkHcF4NsY2RNbLGLZ378FzbElksQq4yvbZkxzS6nk/BuwCLGJ7OUkrAEfb3jTXZm7bzzY8SQkk98L9iMn4scBmtq+X9GrCZWT1QfZv2JH0acIRoaFbSV37W+tf06J9w4Kku22/VtJxwI/SBPX2Ubk/STqxW1G2pNOAn3tiyfidCWH11t2cf6oyyq+bpFuBNZwG5Ao3+pvdY9f7XqNwr8/fz24dcJd6hqTrba+dkn2+A/wROMv2crk2S3kESzJLutH2G5QqKyTBzi8aZNReAhzhVB44CUR2z48tcm2np8eqQGvF0CHp/NzmDGIhcXaZ7h6KclyfIBxtAK4Ajhn02LyioqKiTDSAcvCSHrL9yi6Of4HxteGRclTsBymZ7kIiWLkB8BfCLWdKVB6p6D9qw8FbI1Q9CNp3YFU4eF+Tfq6y/XDBOfcueKoFgJ2JhNcFe9T9gSJpKeBIYB3itbuOMEJ4sMvzXuuC6joN2l5ue+Nunq9iNEjfvdVy63DTgTtsv7b5kRWjgrpwoh0E/exvPrYi6SiiotoBaXuC23u/kfRucusiti/o8nxrA68ALnZyL5S0IrBgI2FPK/ffds49ap+3dlFUGjwL+JXtvVLs+WfAIbaPGUB/MgOtSyXNRxhf9DMRtSOS4crfgSUJzdFrbT8i6TXA922vOdAOToKklYmx+pgBZRYjqCgXSbNtr5mfG0m62vabBtinhYkY5goFj2X9vcP2qkk8e7m7cCdXg0raGcMo5MzIXo8W206ohl60r6Iccp/h9YGvEeL9/Wy/cZJDh4K09vIuosLbFpO1hyFzHB4S/ph+pgG9zoAbBrYnnEhHxRmtoqIsbs79PbsfT+Aop/djRbmBxydr3wafIkQQN6Tn+bWi9HSeP0g6l8jsuSJbHCuZuWxfDJAcRa4HsH1fzvGkojEvB25SlD86EbhokvdxmqSXZEJjhZP/MN/3z0+LK/8GPilpMeDpooaSFge+Cixhe7M0kV3H9gnldbeWyUTDSbhU/379g7j2HGP7aWAP4GxJH2L8OrQWMA+RoVlRzCi/bsp/j22/IGmYv6dIOsVRvu2Wgn1TgS+nxY+9gSMIJ90969qcQyz6IelHtkdlLH1GSpJ8cUo6+ghwXIO2HyeqwBxJBLsfAnYoauio2vJuoBIOVwwdtmuqFUh6JeE+VibfJdzyMher7dO+j5bcj4qKiopBskD6XbTW2q/1ia7O69F2VOwHWwMfJErVPpLEfocMuE8VI4Lad/C+XtLKtu/pf++6p93rRZa8KWkBNyjVanusapyiUswsQrh/OsUV5UaSlJT77l6dLxl3ANws6YfE/D1fwrfIIfG6NPf9IbVmQkMrRKjomIuJtZGjiXHCx4mkmIqpQ0dOtAOkn/2dLmku288BmxLmQxmlrj8ryqrPJKpOA8yStL7tz3V6ziy+WLfvV5McM8E8octzD/3nTdIand7PbD+tqBB6uqTTiSSfPdwjU6x2UM5AC1iOEOUeTXy2Gx1zBjFu+gnwgxLX8LcGPgA8A9wPXCrpUaKaxlBXbEnGTmsB91Bb9aMSDg+G/yTx7W8lfRz4A1Cv/+gL2f0jmR9layvTiaSKrzY4LDPJeETS2wjNXcfJ3Ilm854al11J9xD3mdMc1a4GzfWSZtq+qVEDSesQDt+L1SXaL0RddfGCRHwDjwHX2H6gR32eckh6kuL1wWamAM+n35sD37V9rqQD+tTFnpCuFZsA2xHz6/MJ1/LWjh+Mdmz4abZoU1FRUdEqKTP168BfgYOAU4BFieSEHWx3vTAl6Qbbb1Ryk02is1vyk2BJLyVKD20DrEBkiZ5m+4Zun7+Nfo5lRtVnSVVZU62RbvpvJQIFawFnACfY/m1B2x2AfYn3GmAr4Cu2Tympu20j6SVEecDnJc1PlO2YUMZE0s+Ak4DP214tfeZvHWY3GkmHA4sxXnpxa8L5fz7i/9w+13ZjIqAGcLenUMn4fjKKr5ukHxPOk99Nuz4JbNxqBuAgKLh+TwfutL3yALtVKsq5t2uIndyLkPQW4j4iIgHlkknaL0jMGZu6N0j6ClFRoAq0Vgw1aSx1R5ljBhVUUCjaV1FRUTGnImkP24d1eGyzAMB8toc6KW9USGP+i2y/edB9qRhN1KaDt6R7CVHIA4ToM2vXkuBn2EkB4hMI58KlJK0G7Gr7k3XtFgH2Aj4EnAwc7hYrkQ07kv6nycO2fVCH5z1pkvNOSPyXdHmDtsNW7reiSxSVvnYhqrKKEBIfZ7vUst8V/UUdONEOkn71V9LngXcQoqKlSFXvkqj1ZLfoyt4LFE6/r8++a2lseWtZ9/UGpi5j2O44gWXYP2+SjrP9sQ6PzURqcwP7EMLoq7LHXWK1bkm3kQy0cuvyTStUSJpJGGFsS5j3fL6Uzk7sxwxgFeDXtv8+iD60ShqDrzwg87GKOiS9kRBxvwTI4i/fsH1tCc+dVa1cLrf7OeAR2/9pcMy7gSuBpYGjCPHrgQ0S99rtz4xkwNVwX5pTbUMI9x8j4vFn2P5jt8/fCUnIvCLwIDEXnjCnlbQhsBGRzHZ07vAngfNt/zrXdv+Cp1kEeBtwgO3TCx6v6ABJFxBC/TcDaxLJQTcOUzxH0o7EZ/164tqwJXAbkTBziO2l2zpfdd2vpdVFm1FF0gMUDI5tv2oA3amomPJIuhnYj7hgHwtsZvt6Sa8mhLtdi40kHUyUPdkB2I0Qnt3TaBIkaQlCRLoNkZl2ehkTJknPMz4wmg94KnsImGF77n73YSqQ7ks7AW8HLgfWBi6xvU9B25WJ7CIBlw2jU4ukTWz/POcIUkPRhELSTbZn1on3Si+v1Q6SrrK9QdE+SXe7Kok3R6Jwh/8O8T01cBmRtf/oQDtWgKR9iftZdv3OrOKfAY61ve+g+tYLJB1B8wXk3XNtGybCDCvtij0UpWzex8SyZF9q0L4KtFYMJXXf7WnA6sADtrcrsQ+3AFtliV6SXgWcNQrXjoqKiooykPR720sNuh8VzZF0HrC97aFwT6uY2ihKUU/A9oNl96UfSLqBMHg4L7euVVPSXNIhRPDvWOAo2/8cSGf7hKS9C3YvAOwMvNT2gl2ef716UUXRvoo5C0mzbB8+2b6KiqnCsIhak3B4I9t/TduLEJVRyxIOb5j+3JKo7Pn9tL0t8Dvb+5XRj1GjgUhtDNsHltiXVgy0DgKOz8aLyVDrp8CvCbHjZ8rq76gi6XvA12z/ctB9qRgsw2aYUxSHaxabS/e/rYkY128ITU6j6pt9oZ05raSlO53rpnvqpVWsoTVSXH5Gtu2ogFPfZn5Ch3Ono9L7K4BVnCqrDwOSbidc9x8lknp2yP4XSfe3q/+shMN1tLJoM8qkQVLGDEI8uIjtZhneFRUVHZIXM0q61/Zrco/1ZNCVMuV3JucgSEyOGl7gk4PgloRrxStsL95tPyo6Q9J/Edl3eWHWVQXtdifK2DwGHA+cY/vZ9P7/2vZyqd1Ctp9IA8UJZIszw4KkA23v38ARpJETyBXEYP+SlPG4NpFluWF92zJQlIx0syBOytR9W27QthRwoe2Vh20CVlHRDElfG3WRcBEpO7Mhtk/OtW2WCGMXl7YZOO2IPSRdSJTUm814WZ6acrkVFaNA7rttwhXhd7avK7kPmxKVEu4nrhNLAzvZLhLcV1RUVMxxSHrIdrflKyv6jKLU79rAJdRWmNi94UEVFV2Qkh8Xp3a9bEJQbxSpF7+kfTUVKRQuzf8hxrCTujSPMmldbRaxvn0GcGi3CdUdiAs2B15LbRC5MHG2IkjrsUcArwHmIcop/2uYP5sNPhfVumxFRZ+RtC1RmfVy4j62AbBv2e6IzcxdyuxHv5B0me1NJ9s3irRioCXpjkxILGkZokz7gbbPysyISu/4iCHpTcTr9gdqq35UgsQSkXQ2zU1uCo24etyHh4GGruLOOY5L+hqx5n5M3Tn2BBbtxrxO0suB/yISPj7IuKHRQsDRtl89yfEbAd8mnLTn7bQf3SJpAWAL4IO2N8/tP8z2HmrgjO8WHfGr8ezkKByxDwWWIMS2SwP3NjJ2k7Q+sILtkyQtRiRdPVBahydB0keB9wI3Agumv28nnLa/aXuZds5XlWsrwPZDkvK7nm/UdtSw/XjdrsMkXQNUwuGKiv6QL3P177rHepW5MR9wYpYplRbW80Im0v4ZwLuILNr1gAuBfYmSXBUDQNI3iIy3exi/15hcuZ8ciwJb1mec2X5B0jtzu34AvJMQe00ILABD5TCfRMPTgJ/ZPqPFw/YCzgOWk3QtsBiR9FMqklYB/o8oBSJJfwF2tH1XQfO9gWsk/ZZ4L5YFPpkmCycXtK+Ywkjax/bBjVxuhzn4bntfSS8BVqA2oFZ03RoZ8sLgjHRtWtD2E3Vtp5fWsd7yNHCnpFbEHkvafnurJ5a0OPBVYAnbmykc79exfUK3na6o6ARJ7yE+x0el7RuJ8YLTNfissvpi+zJJKwArEWOA+9ygpFtFRUXFHErlajEa/CT9VFT0HUm7AfsDf2Z8bdVAKc6EJfCQpHWJsek8wO7AvfkGtqcNpGclkkwP9gI+RKyNrWH7b12ecx1gXWAxjZdYhxAXFM7lJR0NzA9sTJg1vJ8IwFY050iiouGZwFqEmGv5gfaoAUm0+EFg2ZRUnfEioD5mWlFR0WNsn5bMYGYS6yL/bfuRAXRlMUmvsn0/gKRlibWikSbFfucHFk3r9nlh3RID61hv+RyRYHQnsCvhJHx8XZvpybBnKaK6+Ccc1U5FvD4Vk3Mi8BHidX5hkrYV/ePI9Ps9xHf41LS9LfDbkvownRAjarKGRD+LTDi/QwgZu6l6/Tbgw8CS1AqZnyQqpE5A0kzitXof8DuigsuZXfShI9I87x3EGPTtwI+Ao+uanZJ+f7OL59kE6GoONYdwEJEMf2lyrt+Y+JxMQOG4vxYRzzkJmJsQr69XUl8nxfbx5O6DkvYhqht/CHiRpFOAs11Q2buISjg8kUkXbUYZSfmMoGnEB/5FA+pORcXQkpxUTieCIj+w/b4OT7WapCdIroTpb9L2jMaHtcVlwJuBzO10PkIMvG7WQNIPUpurCGHpB20/3aPnr+icLYCVWhGPZM7wRSUUbN+b235nmghvOCpOLEn8/GnCVaSV9rcoyktlApxf2n62n31swDHAXpljYMpcPJbcdy/D9k+TaOjVjIuGsu/gYeV0t2KIyL6zNw+0Fx2QshhnERP124iJ1i+ICcnIk+6XHyeSOWYDC0v6lu1DBtuzntCO2OM6SavYvrPF9t8jJtDZItCvgB8Si7QVFYNgHyKInTEPsCax4HkSUIpwWFHx54PE/R/i+v8Q4dpRUVFRMccg6UmKBcJZBYeKIaco0a6ioo/MItbLpqqg7+PA4YR71sPEOu6nBtqjkpF0CFEN71ii7GvDKl5tMg8x5p+L2rjXEzQ2HVjX9qrJqfBASYcCLQVY53Rs/0bSdNvPAydJKrW6SxtcB/yJMObIV1J6ErhjID2qqJgDqNMkQNzzAJaQtITtW0ru0p7AFZLuT9vLECLUUWdXYA9CYDibcaHfE8BRg+pUr0hmWSfb3g44rknTzwE/B54B7gI2lPQcsB0RvygFNagGmzFsVWHreKhVkVlF/7B9GYR4Me+ILukc4MqSuvGnNqpvvGB7gtDc9vOqc+tsl7QOcbKk99n+UbO2kr5KmLX9jdD4rGf74WbH9ANJbyEEqW8jnPZPAd5ge6f6trZnp9+Tvq+S7mTiutoiwB+JBL6K5jxr+3FJ0yRNs315Mvgr4r3A6sAtALb/mKrkDC22TWjGLksJRe8hPheVcLhDpvqiTX5S/ByRZfGBwXSlomKoOYS4mB5LiAM7oiRXwhn5xVXb/5RUnz15EbCr7SdL6E9F69xPZClNKh6R9C4im66mhAJRRq8G206lTNbsaW/7yyWSPkMIzfJOmBMm0enzvRewtO2PSVpB0kq2LyivuwAs4FyZcdtXJAfhRqxJLEbNBawqCdv/1+c+Vgwhts9Pv0cx+D6LcIe43vbGkl4NHDjgPvWSlW0/IelDhHPBfxMLriMrHJa0VEoyaefztj7wYUkPUFuWrJHD16K2z5C0L9HwOUlTpmpLxUgyj+2HctvXpDHFXye5V/cMSa8hAhYXAbcS36OZwH6SNrF9Xxn9qKioqBgGbA/1AnvF5KRE2K8BK1ObzDxUVY0qpgwPAf8YdCf6he3HCCegOZm9ibnmF4DP5zQF2dxzoU5OavvKVGFzFdutrlVkVQKfkrQE4UC7bCfPP4fxVDJfuk1RQv5PQClzrXZJFfweBNYZdF8qKuYwDm3ymCnZiML2hTlzF5giFaFsHw4cLmk320cMuj+9JokPF5M0j+1nmrQ7HzgfojwosBuxtn8r8JVSOhtk1WBFuB//Lf39YuD3DPcY4x5J/0e8jmPfDdvnNT6koo+8TNIytn+XtpeiPJf0dgS/T0taznaNG7Kk5YgqmL3gdZKK9BB5cfN/gM1s/6pHz9kpFwFXA+vbfgBA0uHNDpC0HnAAof2Yi/E5UX695Z11hxl43Pa/qGiFv0takDBZPFXSo4ResohnktbGAGXFk3pFMq77YfppiUo4XMdUX7SxvfG3U1XKAAAgAElEQVSg+1BRMYxIOgg4Pi0iQQg63wBcCMw7sI61xr8krZFl50pak/EFT2BkxWlzAk8Ri6uXUTsJKyob/2VaLKGQuF7STNs39bTH/eMj6Xc+WcdAURDyJGLynS32PkyUGSlbOHy/pC8yXkpkO+CBooapJMRyhENrJqYzUAmH52AkrQh8hnFBOQC2h9m992nbT0tC0ry275O00qA71UPmljQ34Qh/pO1ns8nhCHMOsAaApB+1WEVhszaf41/JWTWbSK/NFA70V4wEL8lv2P50brOsBdaDgFm2ayoqSHofEbDotKJJRUVFRUXFIDgJ2B/4NrAxsBPtBRMrKtrhfsIR8CfUrpd9q/Ehw4+k/2nysG0fVFpnBoztaX089/OTuf3VcYGkFxMJw7cQ89r68ucVE9meKGP9acLF85UM6RxH0jW21y+ogNCVUL2ioqI5Q6pJyJu7rDYVzF0kzSScYo9I2zsQ1+MHgQP64XCbj0mXxO+AayWdR63xUOHYMDkvfif9lIrtZQEkHQ2cZ/unaXszojLwMLNw+v3u3D4DlXB4MOwNXC3pl2l7BeATJT33pm203R/4adLazE771iKqU36mR/3JVyeZQYho7803aCNpsN+sSVRCvDQ53J9OjJmbcQIxnp7NuIaghpyGqaIz3kMI2fck9KALA41ctc+QdAzwYkkfIzQszRzvRx7FfbMiQ9KyRAbSMtQKON7d6JhRQtJeBbv/Acy2fVvZ/amoGBZSKbJV09/LENl0B9o+S9JNtmcOsn/NSJPC04lSBACvALbOyhtUDC+SdizaXyT0lnSz7bUk3Q6sbvsFSTfafkODc98DrEgsDvyLyd0iR4bca3Gr7dXTvtttr1ZyP15COK2uT7y+VxELMX8raHsv4WRaDbwqxkjf56OpmwwO8/U7uZnvRJQ/24TImJ/b9jsG2rEeIWl3wongdmBzIov7+7bfNNCOdUHdtXLs7xaOWx9YwfZJkhYDFswypAvargEcAbyOKAW3GPB+21XJz4qBIOlU4Arbx9Xt3xXYyHaz5Kte9eGXtgsTK5o9VlFRUVFRMYxImm17TUl32l4l7bt6lMfJFcOLpP2L9g9RMLgjJO1dsHsBYGfgpbYXLLlLUxZJhxLiijOpFRg1LdUqaV6iul+VCFtRUVHRI5JJwyeADdKuK4BjbD9bcj8KzV0aGPmMDJJuAd5s+6+SNiDixbsBrwdeY/v9fXjO42x/rNfnbfJ8Izc2zOZPdftutr3WoPpUMXpImo+o+gNwj+1/N2s/KCStBuxDxIcgYkSH9Et/lsbs59l+Wz/O3yuSk/C2RDLHbcDZto8taHeD7TeW3b85AUl7ANcCt9pu5DBcdNxbgLcS+o+LbF/Spy4OBZVwuI4k4DgBuBN4Idtv+8qBdaqHSPoBkeFxftq1OXATUZbjTNsHD6pvFRWDRNLdhLveUsQ14BO2f57Kmdxle0L5g2EiTbxXIm5e95U94a7oP5IuJRwwvwYsCjwKzLS9bl27ZW0/IGnpovMMc0aapHWZmLgzIdtb0nVEtuO1ttdI5U5OaySiHgYknQnsbvtPg+5LxfBQtHg0SkjakMjKvLBZmbBRR9Jc7Uwohw1Jt9heo/7vSY7Zn5gzrGR7xVSu9Uzb6zU5Zi7GxyK/rMYiFYNE0ssIt+3/EK5hENn+8wJb2P5zCX1o+H1r9btYUVFRUVExLEi6FngTcBbwc+APwNerRJiKis6Q9CJgFiEaPgM41Pajg+3V1EHSSQW7bfsjuTZbNjvHZCLjOR1JD1Dr3gtAXUnloUDSDODjwPLAHcCJo7zOU1Exakg6HpgbyAxztgeet/3RkvsxJc1d8qY6ko4C/mL7gLR9m+3XD7J/3SJpOjHv+Oyg+9IOki4Crga+T9wvtwM2GGahY4oBHE6YJUGYJe1p+4+Nj6roNZI2tH2lpEJjS9tzvAN0Mva60fYKg+5LK0iaBrwF2Mb2TgWPf51wJf4xtRV3ynR2n5JI+iawLqGHvAO4jhAS/6Lekb9TkfFUoBIO1zHV1fxpkPI+2/9M2wsSC77vJVyHV252fEXFVEXSu4hyi88QpQ3uAi4jBvLTyp7AtkoSRXwKeC0x8bgHOKrZQnOr4syK/iNpBUIIvDJRWgMoXmCVtADwb2Aa4yUUTrX9eF27zAXoMtvtlBIZKO1ke6csry8Qr9vFwHrAh21fUU5vx/pxPhMXyP8B3ExkzD+da3s5keF9I7WD/ilR0aCiMyQdQCQBnE3t56Ln5cN6haSlivbb/n3ZfeklDapyjNGo7NkoIOl5xp3n5wOeyh6iQUlOSbcBqwO35NyKx6ozNHieanxRMXRI2oQYJwPcbfvnJT73w0DRtUPAHrZfWVZfKioqKioquiVVu7oXeDFwELEmcbDt6wfasYopSap4sg8xjsuvl20ysE71CEmLAHsRa3snA4cXVa6q6D+SXiDWITMnNOUerhEZV0xE0ktzmzOArYBFbP/PgLrUEEk/BJ4lBFybAQ/anjXYXlVUzDkUVYscUAXJKWnuIuku4PW2n5N0H7CL7auyx2y/rvkZJj3/hFhj2fHHdp5P0nq2r51sX79JY779CadtEyLcLw157OciQjeUrelvD2w1zGLnqYikL9v+Qoqb12PbO5TeqQEj6U7G4/HTiYqXX7J95OB61TuShqAeT4X577AgaR7CLGldYJ308/e8PrIdkfFUY67Jm8xxHJ4cti5maqr5lyKEkRnPAkvb/rek/zQ4pqJiymP7fJITd3IZ3o0oVX4r8JUBdq0hqbzBD4DvEYN4AWsAN0r6UNEkqJE4k/FJQEW5nERMHL8NbAzsRO0iNZKWBxbPvZ8vACenkkMvBmqEw8C0dB9bsUgIN8Tit7VoMdvb9iWp/NLaxOs1i/HPc5ncT0xOTkvbWwN/BlYEjiMm1RkHlNqzilFhx/Q7ny1vYOjcWXL8hOijiMDQssAvGRfmjSovGnQH+oXt6R0c9oxtSzKMJa80pBpfVAwrSShcmli4juNofG05vsyOVFRUVFRUdIvtm9Kf/yTWLioq+smpwA+BdxIuoTsCfxloj3qApEOALYFjgVUyc5eK3iNpSeAIwmzAwDXALNsP55q9j1jLWxU4l6hm9puy+zqq1JtZAIdJugYYOuEwsea8CoCkEwhjh4qKivJ4XtJytn8LIOlVDCaesyhwj6SpZu5yGnClpMcI86GrYSy2+I9OT5rc2ucHFk3unlnsciFgia563D63SToPOJMwyAAaVgc4goiVT7avbySX5H1HMEllcdvH5baPl/TpgfVmDsX2F9Lv7SdrOwfxztzfzwF/bscRdtir/9neeNB9mAOYj7h/LZx+/gjcmW9g+zMwQWT8EeA4STUi46lGJRyeyCqE0GcTQpwFsbAwVdT8PwCul3Ru2n4XcFoSA9wzuG5VVAwPSbj4nfQzzBxKlFq+NbfvXElnA8cARe7pLYszK0phPtuXSZLtB4EDJF1NiIkzDgP2Kzj2qfTYu+r2bwNsQdzjR0kIdxfwcqBhtrek4zP377Q4/ZO0f0ngQqCrzOkOWN32Brnt8yVdZXsDSXfnG6ayMosDM9OuG6sSlBW2lx10H9olC7RkSFoD2PX/2bv3eEvnuv/jr/eMwzhHqXRgEipkHEvIWWeKlEQqfqq7cii6u9PBqbvuDkpN7jQqpFBulDOVU5LEOEelhESFGCEyvX9/fK81s2bP2nvPzN57fdfa+/18POax1/W9rrX2m733OlzX5/v5VoozamwfXjtDj/mBpG8AT5O0L82H4yGOz/uLiAHyvBIREeNBc4F+UOOg0CJ609Ntf0vSAbYvoxTDXFY71Cg4iFKo9Ang46V3BTDEajCxyI6nXAt7S7O9ZzO2Q+sA22cCZzbXxt4IHNV00f1483sXQ2jOB7VMopwX6NVz0f9q3Wg6ctbMEjERfQS4RNIfKK95q1FnItphFb7nmLP935J+CqwCXNR2fnYSpUnWonovcCClSPha5hYOzwKOGcHjLoqVKE2U2ut1DMwpHJb0CkqR18oDmiotT+lQ2jW2Z0vaqJvfc5Q8KOltlAl8AG8FxnWXzV7WFC++iflXefxMrUwVrU7b6tu271mYO/dq0XCHBnAG7geusH1HhUjjjqQZlN+dR4BfUroIf2mYVX+GLTIeb1I4PL+dgdVtPznskX3I9pGSzgO2oLzBe5/ta5rde9RLFhGLYPkBRcMA2L5e0mAn6YYtzoyu+qekScDvmlmb9wDPHHDMVNs3Dryj7WskTe0w/hvgc82S8ue372sKV3uKpLMpb4SXY/jZ3otJ+i6wl+1/N/d/CXAeUKM4Z2VJq9q+q8myKmXWOszb3R9JbwW+AFxKef2dLukjtv+vi3mjR0ja1vbFknbptH+QmfI9yfbMZtnivibpE8Axg31YlLQtsLTtc7qbrA7bX5S0A+VE8IuAT9n+8RB3yfuLiEFIOpHS3eyhZntF4KgsfRwREX3iFcDdlE5mv2TAKkkRY6RV5HevpNdTLtQ9r2KeUWF7Uu0ME8jKto9v2z5B0oGDHPtPSkfGWZQVO6eMdbhx4qi2208Bf6QUGPWiaZJmNbcFLNVsp2g/ogua5jlrUs4xCrjNdtdXQR7Pk0JsX9Vh7LcjfMyvUFbq3s/29JE81kjZXpBC8yWAZZm/qdIsYNexyDWM6xaiS3Kv2Bv4X0phuIGrgH2qJprYzqS8T72WOl3aF4mkk4FTKQ2/TrK92wge67mUCQKt/w8C3irpc8DOQxUQNxMCtwTusn3tomZYWJJWGmq/7fZi/E71PFMpk0wPs33qaGaboFYFlgR+R6nD+RPwUKcDF7HIeFxI4fD8bqAs/T6uugBKWt72rOaJ6o7mX2vfSgOeoCKiP0jSigNfrJq/80kDxhamODO650DKUj/7A0cC21CWX2w31MnqpQbb0SoalrQCZem9twMvAZ47grxj4YsLcey7Kd20v9/Men05Zebr+2yfOxbhhnEQcIWk31M+rLwAeH/TqeTEAcd+HNik1WVY0srAT4AUDk9MWwEXM3/HcBgwU77XDJgBO4myxFffLxlLmS16jqR/AjMp/01TgDWB9Sl/rxNiJnezlNqFtrcHhioWzvuLiAWzXqtoGMD23yVtUDNQRETEQng2pUPn7pTzCucCp9i+Zch7RYzMp5vzWQdRlpZeHvhQ3UjRZ+6XtCdl0gOU57AH2g+QtE0z/jLKZ/6vtDXZiWH005LKtrvaaTIiiqbZxN2277P9hKT1Kdeq7mwKorpamyBpU8r7ipdQikwnA49m8kBnbT+/6c32XjQ/P6CrPz9JawFfB55le11J6wE72f5065i2VSpOaFZ4rW3YLsm9QtIHbX/N9h+B19XOE3OsZrvbK+2OhunAOygrWB4/zLHD+RrwddsntA82z0f/S1k1pDV2DvBftm+WtArlOt81wAslzbB99AizLKhrKX/rohSt/r25/TTgLkotATD4ioVNrc9PKAXYMQK2X6Oy3Mg6lK70BwHrSnoQ+IXt9lXAF7jIeLxRVpOdl6RLgfWAXzGOLnpLOsf2GyTdQXmimrOLMqN29UrRImIRSXoPsC9wMOXND8BGwOeAb9v+RtuxWw31WON5pm0/kLSM7UcH2XcKcLHt4waM7wO8qtNMPUlLATtRLuptSCnoehNweatTb6+QtAblw/7PB4xvCdxj+/cd7vMVyn/XasBbO82m7hZJSwIvZu5M+X8OctxNtl/atj0JuKF9LKIfSGr/ENXqKHP6YL/7/abpfrE5ZWm3x4FbKc+dj1cN1mVNN4R32H54mOPy/iJiGJJuALZuTfZrTvxdlvcAERHRb5rPv7tTVtM5onbnsRi/0ugkRqpZFexrlK7ppnSLOqC9kEjSv4EbgSuaY+a5WGp7/64F7kNNF7dDKaubmvL/8QjbDwx5x4iYMCTNBLa3/WBzvedUYD9Kk4aX2O5qF1hJ1wBvo3SA3RjYC1jT9iHdzNEveunnJ+ky4CPAN2xv0Izd3KmosikyPpjStXNOE0Xb2w48NgpJM21vWDtHzEvSNyndTn9dO8tQJB0GHN96n92c+z6HMsngbtv/OYLH/o3tFy3IPkm32F6nuX0I8GLbezWrdP/c9nqLmmNRSDoWOMv2ec32aynPqQct4P2vaz3fxeiQ9DzK9d/NgDcAT7f9tAHHtBcZbwasC3QqMh5X0nF4fuPyh237Dc3XFwx3bMREJmkKZdmNdWjr9NqLSwnbniHpz5ROtetQTtD9Gvi07bMHHHsZlAJV4HHb/24+PL0YOL+7yaNF0iuAb1GWz1lV0jTgvbbf33bYgcCZkvagzFKDclJjCWDnDo/5PcrSGxdRTpBfDNxu+9Kx+u8YoaOBTidmHmv2zenIKmk6c2fprU0pmH+7pLdDtRP6GzH3BMR6krD9nQ7HXSDpQuZ2OtmN/O1NeJKeRjlBOZV5T2L17MWpwWbAjhe2f0eZTTrR/RO4SdKPmXcptXl+N9veX3zO9kfb9zXLRaVwOKIs4XulpNYqA28B/rtinoiIiIXSFAy/nlI0PBX4Kj3YKSvGlV9Kup7Soep8p/tNLCTbd1GaKgxlQZY9j8GdClxO6T4JsAdlZbjtqyWKiF4zuW0i0G7ADNunA6c3r/NdZ/t2SZNtzwaOl3RljRx9opd+fkvbvrrUc83x1CDHngYcC3wTmD3WwQbTT/UG0bNeDlwn6XZKw8tWQ8heK/LexfZhAJKeTyka/qztU5sVKkei46oRTXOugfv+1XZ7O0rHY2w/0kwY7LZNbL+vtWH7fElHLsgdJW1L6VQcIyRpf0oB8OaU35GfA78Avk1ZiXYezbmHmyU9BDzc/HsDZZWacVlLCikcns/ArliSNqd0bBwXF70l/dT2dsONRUxgJwG3Aa8GjqCc8Lq1aqIh2D6H8gZsQV0OvFLSisBPKUs07Eb574zuO5ryu3YWgO0bmpm7c9j+C7BZs3xea/bsubYvHuQx16W8mbyV0gF3tqRevsAy1faNAwdtXyNp6oDhawa5XYWkk4AXAtcz9wSEgfkKh21/RNIulC4copxkObNbWaNnnQdcRflw0lPdwAfTdKIdVL+v0hFznNv8W1A7AB8dMPbaDmMRE47t7zRdbbalvAfYpdc7RURERLRIOpFynuF84HDbN1eOFBPDWpTiw72B6ZK+D5xg+7d1Y0Wvk/SpIXbb9pFtGyd2IdJ4tlL7/0/g05LeVC1NRPSiyZIWs/0UpYjrPW37atSoPCZpCeB6SZ8H7gWWqZCjX/TSz+9+SS+kWR1A0q6Un18nT9n+eteSDa6f6g3WkzSrw3irUHX5bgcKoKwk3A8Wk/QcYFXgBGA/2z9uOreO9Dn2bEnHAQe2Vm5umuR9mXJ9td3dkvYD/kRZtfiC5vilgMVHmGNR3C/pE8B3Kc9dewLzrMwh6SYGrHoCrAT8mdJ0KkZuKvB/wIdsD/a6ASx8kfF4okzWnp+k9SnFwm8F7qAsv/y1uqlGppnVtDRwCbA15YUeYHnKrP2XVIoW0VNabf8l3Wh7PUmLAxeOlyVMWsuNNG+clrL9eUnX216/draJSNIvbb+8fbkJSTfYnjbCx30x5XVsN+CvlM7SL7V934hDjzJJt9teY2H39QJJtwJrD9X5RtIawLNs/3zA+JbAPbZ/P8Yxo4f14xJQkr4CPJvyYRdK17E/AhfC/JPwor9IWrXpzLSgx/8H8H7KJIrb23YtB1xpOxOTYsJqlmUbVJbfjoiIftB05mmtQNH+2TcXkaMrmon036VcdL4B+C/bv6ibKnqVpE5L/y5D6fj3dNvLdjnSuCXpi5TGDj9ohnYF1hnPS/hGxMKR9HHgdcD9lIKyDW27uWZyou3Nu5xnNeAvlNU8PwSsAPyv7duHvOME1Us/P0mrAzMoBV1/p9Tv7Gn7jx2OPYxyXfRMSpdWoPvn4fqp3qD9GnXUJ2kZ249K6vhZ23anIu9qmoljXwaepBTHX0tpXrcnpRZlkVf5aP5uPgu8C7iTck5iNeBE4BDbT7Yd+0xKkf4qwDG2L2rGtwE2sv3FRc2xiNlXonSo3bLJfTlwRPtzUfO61M7AA60i6eguSV8CrgR+PlyR8XiTwuGGpLWAt1GKHx6gLKlzsO2Bf6x9SdIBlOXunwPcw9zC4VnAcf1eGB0xWiRdbftlki6nFMLcB1xte/XK0UaFpOso/11fBvaxfYukm2y/tHK0CalZsvpLwNeATYH9gY1tv20Uv8fGlNe2twB/sr3ZaD32aJB0CnCx7eMGjO8DvMr2bm1jM4Cvdupw1Mww3A14wvb3xjh263ueBuw/1JtHSedQPrzcOGB8Y+BQ2zuOcczoYZI+BPyD0jm+2kmshSHpcttbDjcW/am9mF3S6bbfPMzxKwArUk7e/Ffbrkd6+fc4ohuaQqs/MXfpxPb1FD1ePl9EREREjDZJT6dcaH4HpcDnW5TVutYHTrP9gorxok9IWg44gFI0/APgKNt/rZtq/JD0CKUou7WC1iTaJppkYklEAEjalFLEdVFbt8i1gGVtz6yUaXHKihr35HVhaL3282uuA06y/cgQx9zRYbjr5+H6qd4ghcO9RdL5tl8r6W5KIanav9petWrAITRdhj9E6bR9HaVQ9rFReNylgDUo/w9uH43H7BZJy9r+R+0cEUNJ4XCjuaj3M0oh3e3N2B968cV7JCTtZ3t67RwRvUrS/wNOB9YDjgeWBT5l+9iqwUaJpK2AgygzZT7XzNI80Pb+laNNSJKeAXyFsvziJErHzgNsPzDkHRftewnYste6gUp6FmXm75OUWYgAG1Nmfe/c3iW5WRHgEOClwM3A34ApwJqUDvrfBo61PacAc4yzX0K5aHU18xZ97tR2zM221x3k/inan+AkfQD4b+Ah5nbv6ulisqbT9utt/6HZfgFw3nhZvaJZpu7TwOOUpYymUV4nvzvkHceJAR3wF/iEoaSOJ6sWpntxxHjTdGjfmrKk1SnAFUOtUhARERERhaTfUpZ3Pt72nwbs+6jtz9VJFv2g6e71YcqS4CcCX7H997qpIiKiFknHAtObRkorUJYdn01ZDv5g26dUDRiDkrSn7e9K+nCn/ba/1O1MC2qQeoNP2v5G1WAdSDrE9mdq54i5mmv6q9j+c+0s44Gk99ie0eXvuRnwTcpEi1UlTQPea/v93cwRsSBSONyQtDOl4/BmlCKBU4FvjsfZ682T1FRgsdaY7e9UCxQRIyJpSeDNzP93fUStTBELq1kqpFVge4vti4c4dllKcfEqlOK+W23/ZuxTzpdjq07j7cXZkm63vcYg9x90X0wMkn4PvNz2/bWzLChJr6EsC/aHZmgq5cPuhdVCjSJJ19tev/ls8CbK7OhLbE+rHK0rBnQcnnN7Ae53E3NnvU8BXgD8xvY6YxY2og80J3m3pqz+8DLgIuDrtjt1P4mIiIgIynuoTLiKRSHpC8AulPMWxyxIdy9JKwP7Mv+59b3HKOa4IWlFSkOHKa0x25fXSxQRMT9Jt7TOUUo6ENja9pskPRs4P51We5ek99r+hqRDO+23fXiH+yxNmUC0qu33SFoTeJHtc8Y4bsSoknSt7Y1q5xgPWs8lXf6evwR2Bc5qa9YzaLOxiJoWG/6QicH2mcCZzRIHrSKBZ0n6OnCm7YuqBhwlkk4CXghcT5lNB+UifwqHY0Lr51mLwI+AhyndWjt2WpV0tO0DJZ3N3K6Wc7R3SI3uaTo+fwXYlPJz+QXwoVYnz4nE9iXAJQt47D+AS8c00ILluKzpmLxJM3R1h6WtfiVpX9vHtQ9K2oe5HZZj4roF6JsldQBsX9CcbHtxM3Rbt7p8d8nizdfXAafYfrDU/U0Y0yTNohQAL9XchrnLYHVcanRg93RJGwLvHdOkEX2gKXi5RNJ1lInKRwK/A44b8o4RERERE5Cks9puz7c/5y9jARxEOT/+CeDjbb9HQ32m/RFlNdKfMPeaWQyj6aR4APA8yvXGTSnntretmSsiooMn227vAJwGYPu+CXbet++0FfodsxDNV46nXHvbrNn+E+Vn3tXCYUlPBw4DNqdc//0ZcORYrDgb49bVkja0PbN2kH5Xq9O37bsHvM7ks0b0pBQOD2D7UeB7wPeaJY3eAvwXpTPQeLAxsHZm7EfMZ5nm63JVUyya59l+zTDHnNR8/eJYh4mFcjJwDLBzs/02ylLWL6+WKBaYpLcCX6AUMQuYLukjtv+v7bADKROT9mBuofDGwBLM/bnHxDUbuF7SJbRN/LC9f71InUn6T9ufbzZ3sn1a277P2D6kUrTRdrak2yjdzN/fdB76Z+VMXWN78ig9zkxJmwx/ZMT41UxKfiOwG7AycAawoe27qwaLiIiI6F2vAO6mnBv7JeVcS8QCsz1pEe62tO2PjnqY8e8ASjOFq2xvI+nFwHydHyMiesBDkt4A3EMp4twHQNJiwFI1g8XQmp/b8cC/JP0beKvtK4e52wtt7yZpdwDbj6tOhfipwOWUFYMB9gC+D2xfIUv0EUmL2X4K2ALYt1m59FHmToRboFUiJ5oOzQEN3A9cUWn1v7slbQZY0hLA/sCtFXJEDEupH51YJJ0G7G/73tpZImJ0SJoBTLd90wIce4Dtrww3Ft0h6Ze2Xz5g7Crbm47gMTt2zW7p8e7ZfUXSDcAOrS7DTYHhT2xP63DsNkBr+ZFbbF/cvaTRqyS9s9O47RO7nWU4kma2Tki03+603e+apTZn2Z7dFP4tZ/u+2rl62YDXnknAhsDTbb+6UqSI6iQ9SukufApwOwNW/bB9Ro1cEREREb1K0mRKJ8DdgfWAcykrwdxSNViMa5I+DVxp+7zaWfqJpF/Z3kTS9cDLbT8h6Xrb69fOFhHRTtJawFeBZwNH2z6hGX818CrbB1WMF0OQdCOlWPg2SS8HPm97q2HucyWwHfBz2xtKeiHl/eTLuhC5Pce1tjcaMHaN7Y27mWNhSFqB0iX5lc3QZcARth+uFmoCal1vaxfZ/Q8AACAASURBVH5352P7993OtCAkfRb4LGWV1XOB9SmrLJ88Rt9v4HXKQzscthLwauAw26eORY7BSHoGZdXp7SlF3xdR6vQe7GaOiAWRwuEJpulotz5wNfN2tssyXxHMKfzbF5hKW1d223vXyjQcSb8G1gDuoPxdt2acrdfh2PmKuyRdZ3uDroQNAJqO9gD/CTxEmXlqSke6JW0fOYLH7vTGeA7b46rzg6RJwLK2Z1X43jfZfumALDe0j0UMp5lpulaz+Rvb/6qZZzDtrxUDXzfGw+uIpF2G2p8Cv6ENeO15CvgjcLrtCdOtOWIgSScwoFi4jXv580VEREREbZKWpBQQf4FSsDC9cqQYpyQ9QlmN8AngX8w9t7581WA9TtKZwLspq61tC/wdWNz266oGi4iIcWNRGphI2gH4BLA2pVBvc+Bdti8dy6wdcnwRuAb4QTO0K7CO7SGv4dYk6XTgZqDV2OYdwDTbQ147idHVr9fbWhPIJL2J0mn7Q8BPOzXb6nKulShNv7ra/EjS5rZ/PtxYRC9I4fAEI6njLCzbl3U7S0QvamYi/gy4lrKEPAC2T68WahiSVus0bvvOtmN2B95OWdbiZ22HLQfMtp2lUbpI0h2UQpJOy+PY9updjtRXJJ0MvI/yN3otsALwJdtf6HKOL1A64JzSDO0G3GT7P7uZI/qXpK0pJ2H+SHk+eD7wTtuXV4zV0XjvOCzp+ObmM4HNgFZX8G2AS3NybMFIWo7yOvaP2lkiIiIiIqL/NAXDr6cUDU8FzgK+bfuemrlifGqWLn++7btqZ+lnzXXHFYALbD9ZO09ERIwPkv4EtK+i+uH27cFWWJX0dGBTyjWXq2zfP5Y5B3zvR5h7/XcZ5tYaTAb+0csTkzqtHJDVBLqvw+/9PHp1ZWFJN9tet1kp+4e2zxvt35/mb3tL4C7b1y7E/bpejD1IM7++v5Ya49Niwx8S48nAAmFJm1OKCVM4HFEsbfujtUMsjFaBsKRnAlMGOexK4F7gGcBRbeOPADeOacCYj+0XjPX3kDQF2AdYh7bfi3HS3W5t27Mk7QGcB3yUUkDc1cJh2x9pupRuQTkJMMP2md3MEH3vKMpyaL+BOcumnQJsNOS96pgmaRbld32p5jbN9mCvPX3D9rsBJJ1DeY65t9leBTimZrZ+IGld4CTK0k9Iup9SBH9z1WAREREREdE3JJ0IrAucDxyezxMx1my76Zzbi+dhelJzzvl9lBUQbwK+lcZEERExRo6jNMAabHs+knYGLrZ9brP9NElvsv3DsYs5l+0h8/W4xyVtYfsKmFNH9HjlTBPRZGBZOjcf62XnS7qZUiz/AUnPoKzoscia63X/Zfvm5lrdTEon7xdKmmH76AV4jNbKGF0h6RWU5kQrS/pw267lKT/biJ6TjsMTkKT1KcXCbwXuoCwj/LW6qSJ6g6RPA1faPq92lgUlaSdK8dlzgL8CqwG32l6narAYVnOi9f2UwlNTukEfOxpLu0s6DbiN8nx/BLAH5ffigJE+dm2SbgHWB04Gvmb7Mkk3dGu5E0lrAM/qsMTIlsA9tn/fjRzR/yTdaHu94caie1qzotu2JwE3to/F/JoVGz5u+5Jme2vgM7Y3qxosIiIiIiL6hqR/A482m+0XrkSp8ezZDm3RvyQdA5xg+1e1s/QDSd8H/kU5j/1a4M7xcL45IiLGh0G65nat26ikIbuJ2p7ZjRyLQtI04DuUVQQEPAi8y/YNVYNNMP3clbZpcveg7ackLQssb/vPI3i8W1r1LpIOAV5se69m5cuft19LlXQT836GhNLo5s/AXrZvW9QcC5l5K2BrykS7Y9t2PQKcbft33cgRsTDScXiCaDrYvY2yxNcDwPcphePbVA0W0XsOAA6R9ATlBFg/nJg+krLkyk9sbyBpG8rf+hySrrC9RdsSKXN20fv/fePZdyhvFKc327tTOja+ZRQeew3bb5H0RtsnSjoZuHAUHrcXfAP4I3ADcLmk1YBZQ95jdB0NHNJh/LFm345dzBL97RpJ36L83UMp8F/g5XViTFwq6UJK52dT3j9fUjdSX1imVTQMYPtSScvUDBQREREREf3F9qTaGWJC2gZ4n6Q/UgrXW+fLM6m7s7VtvxSgOad1deU8ERELRNKSwJuBqbTVyNg+olamGBOd3k92sybqqCH2Gdi2W0EWVlMgPE3S8s12N6+7xlz91mkYAEnH2d63bcjAicAOI3jYf7Xd3o7SdRzbjzSTTtu9YcC2gQdsP0oXNStxXCbphNaq4RG9LoXDE8dtlBnAO9q+HUDSh+pGiug9fbqEyL9sPyBpkqRJti+R9Ln2A2xv0Xztx/++8exFA7rkXiJptGZutt5MP9QsIX8f5YRI37P9VeCrbUN3NgXz3TLV9o0DB21fI2lqF3NE//sP4APA/pSTAZcD/1s10QRn+4OSdgFe2QzNsH1mzUx94g+SPsncIvg9KSubRERD0n8AZ9m+R9KBC7KUWkREREREjLnX1g7QZ+YUcDTd5GpmiYhYGD8CHqY07niicpYYO9dI+hJwDKVwcD+62Kyl35v2SXo9sA4wpfUan+L6rtuudoBF9DdJ023vJ+lpwDnACSN8zLsl7Qf8CdgQuABA0lLA4u0H9kqRrqSjbR8IfE3SwA7I2N6pQqyIIaVweOJ4M03HNEkXAKfSp7NVIsaSpM2B620/KmlPypuQo23fVTnaUB5qlnu4HPiepL8CTw08KMut96TrJG1q+yoASS8Hfj5Kjz1D0orAJ4CzgGWBT47SY1claQXgUGDLZugy4AjKSZ9umDLEvqW6lCHGAdtPSDoJOMn232rnicL2GcAZtXP0mb2Bwyn/31pF8O+umiii9ywLfKdZ2WQyZZWCiIiIiIioyPadkrYA1rR9vKSVKe/do7NpklodCAUs1WxnZcOI6HXPs/2a2iFizO1HuRb6fcpr00WU5i1d1zR1Wpu2a4q2v1Mjy1Akvcf2DEnHAktTVmP4JrArWVmg62w/WDvDorB9iKSjJB0DbAwcZfsHI3zYfSjX/7cHdrP9UDO+KXD8CB97rLSa63yxaoqIhSB7viL3GMeaJYPfBOxOWQrhROBM2xdVDRbRIyTdCEwD1qO8sH8L2MX2VlWDDaH5u/4n5QPQHsAKwPdsP9Dh2O8BH+vxQuhxT9JNlJmuiwMvAu5qtlcDfj3S4u6mSHzXUXhD3pMknQ7cTHkNA3gHMM32Ll36/qcAF9s+bsD4PsCrbO/WjRzRv1Smah8KfJDy3C1gNjA9s7fraroNfw54JnN/NrnwtRCaSSsPOR80Y4KT9EbgV7b/3GyL0lV+e+ALtmfUzBcRERERESDpUEpxw4tsryXpOcBptjevHC0iIkaRpBmU8+831c4SIydpQ9sza+cYTPP+YmtK4fB5lBUOrrC9a81cnUj6ke03SrrR9nptX5cFzrD9qtoZo3dJau+gK0qDmV8C5wLYPqtGrohYcCkcnsAkrQS8hTI7Y9vaeSJ6gaSZtjeU9CngHtvfao3VzjYaJF0MbEKZIfhoazzLInSXpNWG2j8ay2lIutz2lsMf2X8kXW97/eHGxvD7Pws4E3iSuUscbQwsAexs+75u5Ij+JelDwOuA99i+oxlbHfg6cIHtL9fMN5FJuh3Y0fattbP0g+b90g9s3yZpSeB8ygSs2cDbbf+kasCIipoJievb/rekxYFTgHuAjwKX2t60asCIiIiIiEDS9cAGwEzbGzRjN9per26yiIgYDW2NfBYD1gT+ADzB3IYReb7vQ5KOs71vh/G1gIOBqbStvt7tWpjm924acJ3tac11xW/a3rGbORZE63qypKttv0zSVcAuwAPAzbbXrBwxelizqupgbHuvMfq+7+nlxhzNKueHUZrGLcbc15zVa+aK6GSx4Q+J8appc/+N5l9EFI9I+hilg+krJU2mdIXtOZKusL2FpEcoH3rn7GLw7oiHdyddDOPvtmc1EzjGyo8lHUxZjqe9SLwvlzgZ4HFJW9i+Aua8+X68W9/c9l+AzSRtA7S6Q59r++JuZYi+txewg+37WwO2/yBpT8rSWSkcrucvKRpeKLsBRza33wlMonRrXovSFT6FwzGRLQ4gaQXgDMpqBf/djC1VM1hERERERMzxpG1LMsxZ3S8iIsaPN9QOEKOvU9Fw4zTgWOCblOYWtTzeNBN4StLywF+BXi0YfF/z9WxJTwO+AMyk1B4cN+i9IgDb72jqaT5g+6td/Nbq4vdaFN8CPkRpQFbzuShiWCkcjoiY127A24G9bd8naVXKG+SeY3uL5utyC3Gfy1q3JT0DeCBLiVdxMuVkxbWUD17tb27N6Hx43Lv5+oExeOza/gM4sSnEAfg78K5uh7B9CXBJt79vjAuLtxcNt9j+W9OVMuq5RtL3gR9SOk8AYPuMepF62pNt7yNeDZxiezZwq6R81oyJ7vvAbcBylIsDV0oSZYLiX2sGi4iIiIiIOX4g6RvA0yTtSzmnmiKZiIhxorXCp6STbL+jfV/TKfMdHe8YPUPST21vN9xY4ynbX+9StKFc0xThHke5FvwPymrAPcf2r5uvrQYhp0s6B5hi++F6yaJf2J4taRega4XDtnu9OebDts+vHSJiQSj1YhER82qWC9mk2bzadk9e2B+uW217Z1lJmwL/AzxI6Qx4EvAMSmfAvWxfMIZRo4OmcOT5tu8ao8efYvufw431s2aWLrZn1c4SsTAkzbS94cLui7En6fgOw7a9d4fxCa9Ztuz/AX8BfgNsZPuOZt9ttl9cM19EbZKeBzxFmYjwLWB74AbK++87amaLiIiIiIhC0g7AqyjNHS60/ePKkSIiYpQNPO/edMi8yfbaFWPFECRNAZamNPDZmrlNmJYHzrf9kg73OYwyYf9M5m0MUm01VklTgeVt31grw1AkbQLcbfu+Znsv4M3AncBh42Ql2xhjkj5NaaBxKvOuhLzIv/eSPjxgyMD9wBW9fm5d0v8AkykrEbY/F82sFipiECkcjohoI+mtlA7Dl1I+gLwS+Ijt/6uZqxNJdzC3W+2qlK6rAp4G3GX7BW3HXgMcAqwAzABea/sqSS+mdAfcoNv5AyRda3ujMXrs+YoPx0tBoqTPAJ+3/VCzvSJwkO1P1E0WsWAkzabtg3P7Lsos7nQdjr4g6eXAicDKwNGtrgSSXge8w/buNfNFRERERERERETExCXpY5Tro0sBjzG3+PRJYIbtj9XKFkOTdABwIPAc4B7m/uxmAcfZ/lqH+3QqJrTtrq7GKulHlNXIfmS707WgniFpJrC97QclbUkp/NwPWB94ie1dqwaMviDpZx2GbXvLETzmoR2GV6KsfnmY7VMX9bHHmqROKxbb9rZdDxMxjBQOR0S0kXQDsEOry7CklYGf2J5WN9ngJB0LnGX7vGb7tZQ3+Ae1HXO97fWb27e2z8KUdF0Kh+uQdAxwgu1fjeJjPht4LvBd4O3MOwP32PHQ/bHT7+x4KYqOiLqaLgb7AOsAU1rj6TgcERERERERMf40yyp/Dngm5TyqKBf1l68aLCIiRpWkz6ZIuD9J2s/29No5FoakrYDdgNcDV1OKiM/pxVVhJd3QqoNorlv/zfZhzfac+oKIXtGsyv2T1AVEjI7FageIiOgxk1pFw40HgEm1wiygTWy/r7Vh+3xJRw445t9ttx8fsC8zSOrZBnivpDsp3UdbJ6bXG8Fjvhp4F/A84Ett449QZlWPB5MlLWn7CQBJSwFLVs4UEePDScBtlOfSI4A9gFurJoqIiIiIiIiIsfJ5YEfb+ewfETG+nd90U52H7ctrhInhSdoEuLtVNCxpL+DNwJ2UbqMPth27re2LmwlB87F9Rjcyt32/y4DLJE0GtgX2Bb5NafLUayZLWsz2U8B2wHva9qWeLBaIpI41CLY/M9rfq+mOreGP7D5JHx4wZOB+4ArbnTqiR1SXJ/qIiHldIOlC4JRmezfgvIp5FsT9kj5B6TBrYE9KwXO7aZJmUQpTl2pu02xPIWp57Wg/oO0TgRMlvdn26aP9+D3iu8BPJR1P+Z3fGzixbqSIGCfWsP0WSW+0faKkk4ELa4eKiIiIiIiIiDHxlxQNR0RMCB9puz0FeBlwLaWoM3rTN4DtAZqi7/8B9gPWB2YAu7YduxVwMbBjh8cx0NXCYZjT9GhHSq3BhvTudcxTKEXO91Oaj/0MQNIawMM1g0Vfmd12ewql2/YtY/GNJG0L/H0sHnsULNdhbCrwcUmH2T61y3kihiU7jSYjIto1sxG3oBTVXm77zMqRhtQsx3Ao0JopezlwePtMy+htkp5JWwG37btG4TGXpMy8nUrbRCHbR4z0sXuBpNfQnDAAfmw7hX0RMWKSrrb9MkmXA+8H7gOutr165WgR0WcG63DS0u1OJxERERERMVfb+/WtgGcDPwSeaO3P+/WIiPFN0vOBz9vevXaW6EzSDbanNbePAf5m+7Bm+3rb67cd+yzbf6mTdH6Svg+8HLgA+AFwqe1/D32veiRtCqwCXGT70WZsLWBZ2zOrhou+JGkK8EPbrxnBY9zE/CtnrwT8GdjL9m0jiNhVTT3PT2xvWDtLxEDpOBwRMUBzUvAMSc9g/s69PacpED6gdo5YeJJ2Ao4CngP8FVgNuBVYZxQe/keUmaDX0nbSexy5Dlic8oHhuspZImL8mCFpReCTwFnAssCn6kbqD5I2Y/7JKt+pFiiivlaHk2cCm1G6ngBsA1xKhU4nERERERExR3tHwseAV7VtV+lMGBERXfUnYN3aIWJIkyUtZvspYDvgPW37BtY53dAUGZ4CnG67dqfc44G325497JE9wPZVHcZ+WyNLjBtLAi8c4WO8YcC2gQdaxe39xPaDklQ7R0QnKRyOiGDOTLr/AR4EjgROAp4BTJK0l+0LauYbSjPj72DmL9bJ8jq970hgU8oMsw0kbQOM1uzm541kFl8vk/RW4AuUohsB0yV9xPb/VQ0WEX3P9jebm5cB6TK8gCSdRDkJdD1zl6QykMLhmLBsvxtA0jnA2rbvbbZXAY6pmS0iIiIiYqJre7++ue2ft++TtHmdVBERMVYkTWdu58pJwPrADfUSxQI4BbhM0v3A48DPACStQWmc1O65lFVK3wZ8VtIvmvufZfvxbgWWtAlwd6uuQNJelNVh7wQOy2rBMd60ivslXcfc59jJlA7WnxnJY9u+c6T5eoWkbYG/184R0YnsgZ29IyImHknXAIcAKwAzgNfavkrSi4FTbG9QNeAQJN0AHEvpLDtn5qLta6uFigUi6RrbGzc/ww1s/1vS1bZfNgqPPQOYbvumkSftLc3/rx1s/7XZXplSfD2tbrKI6FeSPjzUfttf6laWfiTpVkphZD5cRgwg6Wbb67ZtTwJubB+LiIiIiIg6JM0cuGRwp7GIiOhvkt7ZtvkU8MeBE0ei9zSNv1YBLmp1GW0aai1re+Yg91kCeC2liHgb4Ke29+hS3pnA9k130S2BU4H9KIXqL7G9azdyRHRL632zpPbuwk8B99kejysiD6npfD7wOtlKwJ+BvWzf1v1UEUNLx+GIiGIx2xcBSDqitSSH7dv6YNWAp2x/vXaIWCQPSVoWuBz4nqS/Ut5Mj4YtgHdJugN4gtKZ17bXG6XHr2lSq2i48QBlhnhExKJarnaAPncz8Gzg3tpBInrQpZIupHQ5MeWixSV1I0VERERETGySXgFsBqw8YDLx8pQuaRERMY7YPrEpKF2rGfpNzTyxYFrX6weM/XaY+zwp6dfArcBGwNpjFK+TyW1dhXcDZtg+HThd0vVdzBHRLQKw/fvaQXrEGwZsG3igNfEhohelcDgiovh32+2BS5b0eve8syW9HziTUiAKQJY76QtvpPy+fQjYg9Lx+ohReuzXjtLj9KIL2gpwoHz4Pr9inojoc7YPr52hH0k6m/I+aTng15KuZt73IjvVyhbRK2x/UNLOwJbN0AzbZ9bMFBERERERLAEsS7lO2j6ZeBaQboAREeOMpK2BE4E/Ugrdni/pnbYvr5krRo+kVSnXC3cHlqF0+32j7Vu7GGOypMVsPwVsB7ynbV9qs2I8GjgJbx4TbTVP23fWzhCxsJTVZCMiQNJs4FHKh8WlgMdau4ApthevlW04TUfZgWx79a6HiQUiaQ3gWQOXQWqWrblntGblSdoCWNP28ZJWpizd0+n3pe9I2oXSVVnA5SnAiYjRIOnzwKcpkzouAKYBB9r+btVgPUrSVkPtt31Zt7JE9CJJk4ELbW9fO0tERERERMyreb/+/SwbHhEx/km6Fni77d8022sBp9jeqG6yGA2SrgSeC5wGnGr7mko5Pg68DrgfWBXY0Lab68In2t68Rq6IsSLpXuDrNJ2HB0rTnojel8LhiIiILpN0DnCI7RsHjG8MHGp7x1H4HocCGwMvsr2WpOcAp/Xzh9JuFVxHxMQl6Xrb6zfdQd9E6Qh/ie1plaP1NEkvAO61/c9meynK8/UfqwaL6AGSzgLeYfvh2lkiIiIiImJeki62vW3tHBERMbYk3Wh7veHGoj81DS4udw8UP0naFFgFuMj2o83YWpTmTjOrhosYZZJm2t6wdo6IWHRphx8R0aeajquDsn1Gt7LEQps6sGgYwPY1kqaO0vfYGdgAmNk89p8lLTf0XXre0cAhHcYfa/aNuOA6Iia81goDr6N0nHhQ6jhROuZ1GrBZ2/bsZmyTOnEieso/gZsk/ZiywgkAtvevFykiIiIiIhrXNZP9TmPe9+s5tx4RMb5cI+lbwEnN9h7AtRXzxCjqpZXvbF/VYey3NbJEdEEuoEX0uRQOR0T0r6GKJA3k5GbvmjLEvqVG6Xs82Sx/YwBJy4zS49bUjYLriJjYzpZ0G/A48H5JK1OK/mJoi9l+srVh+0lJS9QMFNFDzm3+RURERERE71kJeABo7zqcc+sREePPfwAfAPanFLpdDvxv1UQREf1vu9oBImJk1APd+iMiIiYUSacAF9s+bsD4PsCrbO82Ct/jYGBNYAfgs8DewMm2p4/0sWuRdLvtNRZ2X0TEwpC0IjDL9mxJSwPL276vdq5e1nRSnW77rGb7jcD+tnPSKCIiIiIiIiIiInpC0+xgHeAe23+tnSciIiKiphQOR0REdJmkZwFnAk8ydymkjYElgJ1Hq0BN0g7Aqyizpy+0/ePReNxaulFwHRETk6RdhtqfJUqHJumFwPeA51Bec+4G9rJ9e9VgET1A0pqUSVxr07bqhO3Vq4WKiIiIiAgAJD0PmA5sTuk0fAVwgO0/VQ0WERGjQtKxlIYHt0haAfgFMJvScf5g26dUDRhjTtKGtmfWzhEREdGLUjgcERFRiaRtgHWbzVtsXzwKj7kG8CzbPx8wviVlBvXvR/o9aulWwXVETDySjh9it23v3bUwfUzSspTPmI/UzhLRKyRdARwKfBnYEXg35e/k0KrBIiIiIiKitYLOycBJzdCewB62d6iXKiIiRoukW2yv09w+ENja9pskPRs43/YGdRPGWJN0nO19a+eIiIjoRSkcjoiIGEcknQMcYvvGAeMbA4fa3rFOstEzFgXXERGx6CQtCbwZmAos1hq3fUStTBG9QtK1tjeSdJPtlzZjP7P9ytrZIiIiIiImOknX215/uLGIiOhPkq5rFQdLOhc4zfYJA/dFRERETESLDX9IRET0OkmbMX+xzneqBYqapg4sGgawfY2kqd2PM/psXwJcUjtHRETM8SPgYUo3+CcqZ4noNf+UNAn4naQPAvcAz6ycKSIiIiIiivsl7Qm0lqrfHXigYp6IiBhdD0l6A+V8zObAPgCSFgOWqhksRp+kn9rebrixiIiIKFI4HBHR5ySdBLwQuB6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      "text/plain": [
       "<Figure size 3600x2160 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.reset_index().plot(x='geoName', y='Coronavirus', figsize=(50, 30), kind ='bar');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Dow Jones</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>VOCM</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Orbeez</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Jack Welch</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Katharine Morel</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 0\n",
       "0        Dow Jones\n",
       "1             VOCM\n",
       "2           Orbeez\n",
       "3       Jack Welch\n",
       "4  Katharine Morel"
      ]
     },
     "execution_count": 75,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Get Google Hot Trends data\n",
    "df = pytrend.trending_searches(pn='canada')\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Classificação</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Mapa coronavirus</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Ana Marques</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Graça Freitas</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>James Lipton</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Coronavirus</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Coronavirus Portugal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Porto</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Noticias ao Minuto</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Noticias</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Coronavirus</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Jose Fernando Rio</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Jornal de noticias</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>SIC noticias</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Sintomas coronavirus</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Coronavirus Lisboa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>TSF</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>TVI24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Famalicão  Sporting</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Ulay</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                       0\n",
       "0          Classificação\n",
       "1       Mapa coronavirus\n",
       "2            Ana Marques\n",
       "3          Graça Freitas\n",
       "4           James Lipton\n",
       "5            Coronavirus\n",
       "6   Coronavirus Portugal\n",
       "7                  Porto\n",
       "8     Noticias ao Minuto\n",
       "9               Noticias\n",
       "10           Coronavirus\n",
       "11     Jose Fernando Rio\n",
       "12    Jornal de noticias\n",
       "13          SIC noticias\n",
       "14  Sintomas coronavirus\n",
       "15    Coronavirus Lisboa\n",
       "16                   TSF\n",
       "17                 TVI24\n",
       "18   Famalicão  Sporting\n",
       "19                  Ulay"
      ]
     },
     "execution_count": 100,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pytrend.trending_searches(pn='portugal')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0        Real Madrid-Barcellona\n",
       "1                          Ulay\n",
       "2               Justine Mattera\n",
       "3          Coronavirus Sardegna\n",
       "4               Luca Tommassini\n",
       "5      Elezioni suppletive Roma\n",
       "6           Coronavirus Pomezia\n",
       "7                    Alfa Romeo\n",
       "8    Riapertura scuole Piemonte\n",
       "9          Coronavirus Cagliari\n",
       "Name: query, dtype: object"
      ]
     },
     "execution_count": 80,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pytrend.today_searches(pn='IT')\n",
    "df.head(n=10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>title</th>\n",
       "      <th>type</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Coronavirus</td>\n",
       "      <td>Virus</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>SARS coronavirus</td>\n",
       "      <td>Virus</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Middle East respiratory syndrome-related coron...</td>\n",
       "      <td>Virus</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Canine coronavirus</td>\n",
       "      <td>Virus</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Turkey coronavirus</td>\n",
       "      <td>Virus</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                               title   type\n",
       "0                                        Coronavirus  Virus\n",
       "1                                   SARS coronavirus  Virus\n",
       "2  Middle East respiratory syndrome-related coron...  Virus\n",
       "3                                 Canine coronavirus  Virus\n",
       "4                                 Turkey coronavirus  Virus"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Get Google Keyword Suggestions\n",
    "keywords = pytrend.suggestions(keyword='Coronavirus')\n",
    "df = pd.DataFrame(keywords)\n",
    "df.drop(columns= 'mid')   # This column makes no sense"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [],
   "source": [
    "pytrend.build_payload(kw_list=['Coronavirus'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_values([{'top':                       query  value\n",
       "0         virus coronavirus    100\n",
       "1                     virus     99\n",
       "2                    corona     96\n",
       "3                     china     88\n",
       "4         coronavirus china     88\n",
       "5      symptoms coronavirus     86\n",
       "6                  symptoms     84\n",
       "7          news coronavirus     75\n",
       "8              corona virus     61\n",
       "9        coronavirus update     56\n",
       "10       italia coronavirus     52\n",
       "11         coronavirus 2020     42\n",
       "12           el coronavirus     40\n",
       "13        wuhan coronavirus     33\n",
       "14          coronavirus map     33\n",
       "15                    wuhan     33\n",
       "16        coronavirus death     32\n",
       "17        coronavirus cases     32\n",
       "18          usa coronavirus     32\n",
       "19     sintomas coronavirus     31\n",
       "20      what is coronavirus     30\n",
       "21           uk coronavirus     25\n",
       "22           us coronavirus     23\n",
       "23  symptoms of coronavirus     23\n",
       "24       coronavirus latest     21, 'rising':                            query   value\n",
       "0               coronavirus 2020  199150\n",
       "1              wuhan coronavirus  156900\n",
       "2                          wuhan  154000\n",
       "3          coronavirus lombardia   44350\n",
       "4        wuhan china coronavirus   32350\n",
       "5               coronavirus cina   28450\n",
       "6             coronavirus veneto   27800\n",
       "7              morti coronavirus   27600\n",
       "8           coronavirus map live   27000\n",
       "9              mappa coronavirus   26600\n",
       "10                   wuhan virus   24500\n",
       "11        coronavirus death rate   23150\n",
       "12     coronavirus symptoms 2020   22700\n",
       "13     aggiornamenti coronavirus   22650\n",
       "14            coronavirus napoli   22350\n",
       "15                   kobe bryant   18850\n",
       "16            coronavirus torino   17550\n",
       "17     how did coronavirus start   17300\n",
       "18       coronavirus cruise ship   16050\n",
       "19       coronavirus ultima hora   15850\n",
       "20          coronavirus piemonte   15850\n",
       "21  coronavirus ultimas noticias   15400\n",
       "22       coronavirus live update   15250\n",
       "23         coronavirus no brasil   13300\n",
       "24           coronavirus bergamo   12700}])"
      ]
     },
     "execution_count": 82,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Related Queries, returns a dictionary of dataframes\n",
    "related_queries = pytrend.related_queries()\n",
    "related_queries.values()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_values([{'rising':    formattedValue                                            link  \\\n",
       "0        Breakout       /trends/explore?q=/m/0l3cy&date=today+5-y   \n",
       "1        Breakout       /trends/explore?q=/m/0bzjf&date=today+5-y   \n",
       "2        Breakout     /trends/explore?q=/m/0rzr6nf&date=today+5-y   \n",
       "3        Breakout    /trends/explore?q=/g/120tb493&date=today+5-y   \n",
       "4        Breakout      /trends/explore?q=/m/015m08&date=today+5-y   \n",
       "5        Breakout  /trends/explore?q=/g/11ckxx4f1g&date=today+5-y   \n",
       "6        Breakout      /trends/explore?q=/m/018xnw&date=today+5-y   \n",
       "7        Breakout      /trends/explore?q=/m/01g93y&date=today+5-y   \n",
       "8        Breakout    /trends/explore?q=/g/1235wdfh&date=today+5-y   \n",
       "9        Breakout       /trends/explore?q=/m/068cn&date=today+5-y   \n",
       "10       Breakout      /trends/explore?q=/m/01jp4s&date=today+5-y   \n",
       "11       Breakout       /trends/explore?q=/m/0dh5j&date=today+5-y   \n",
       "12       Breakout      /trends/explore?q=/m/03f0rf&date=today+5-y   \n",
       "13        +3,800%       /trends/explore?q=/m/03rjj&date=today+5-y   \n",
       "14        +2,750%      /trends/explore?q=/m/0d05w3&date=today+5-y   \n",
       "15        +1,950%      /trends/explore?q=/m/0222qb&date=today+5-y   \n",
       "16        +1,900%     /trends/explore?q=/m/02bjrlw&date=today+5-y   \n",
       "17        +1,300%      /trends/explore?q=/m/01kr41&date=today+5-y   \n",
       "18          +450%       /trends/explore?q=/m/0294j&date=today+5-y   \n",
       "\n",
       "        topic_mid                                    topic_title  \\\n",
       "0        /m/0l3cy                                          Wuhan   \n",
       "1        /m/0bzjf                                         Veneto   \n",
       "2      /m/0rzr6nf  Agenzia Nazionale Stampa Associata Soc. Coop.   \n",
       "3     /g/120tb493                Particulate Respirator Type N95   \n",
       "4       /m/015m08                                 Emilia-Romagna   \n",
       "5   /g/11ckxx4f1g                                   Worldometers   \n",
       "6       /m/018xnw                                          Cubit   \n",
       "7       /m/01g93y                               Regions of Italy   \n",
       "8     /g/1235wdfh                                    Última Hora   \n",
       "9        /m/068cn                                       Piedmont   \n",
       "10      /m/01jp4s                                        Bergamo   \n",
       "11       /m/0dh5j                                      Pangolins   \n",
       "12      /m/03f0rf                                  Surgical mask   \n",
       "13       /m/03rjj                                          Italy   \n",
       "14      /m/0d05w3                                          China   \n",
       "15      /m/0222qb                                 Italian people   \n",
       "16     /m/02bjrlw                               Italian Language   \n",
       "17      /m/01kr41                                           Mask   \n",
       "18       /m/0294j                                          Death   \n",
       "\n",
       "              topic_type   value  \n",
       "0          City in China  163100  \n",
       "1         Italian region   26400  \n",
       "2            Cooperative   26300  \n",
       "3                  Topic   18400  \n",
       "4         Italian region   18100  \n",
       "5                Website   17450  \n",
       "6                  Topic   15850  \n",
       "7                  Topic   15100  \n",
       "8                  Topic   14000  \n",
       "9         Italian region   13450  \n",
       "10         City in Italy   12050  \n",
       "11                Animal   11600  \n",
       "12                 Topic   10950  \n",
       "13     Country in Europe    3800  \n",
       "14  Country in East Asia    2750  \n",
       "15          Ethnic group    1950  \n",
       "16       Spoken language    1900  \n",
       "17                 Topic    1300  \n",
       "18                 Topic     450  , 'top':    formattedValue  hasData                                            link  \\\n",
       "0             100     True      /trends/explore?q=/m/01cpyy&date=today+5-y   \n",
       "1               8     True      /trends/explore?q=/m/01b_06&date=today+5-y   \n",
       "2               5     True      /trends/explore?q=/m/0d05w3&date=today+5-y   \n",
       "3               5     True       /trends/explore?q=/m/0g9pc&date=today+5-y   \n",
       "4               4     True       /trends/explore?q=/m/03rjj&date=today+5-y   \n",
       "5               4     True       /trends/explore?q=/m/0294j&date=today+5-y   \n",
       "6               3     True      /trends/explore?q=/m/0222qb&date=today+5-y   \n",
       "7               3     True     /trends/explore?q=/m/02bjrlw&date=today+5-y   \n",
       "8               3     True      /trends/explore?q=/m/05d6yp&date=today+5-y   \n",
       "9               2     True       /trends/explore?q=/m/0l3cy&date=today+5-y   \n",
       "10              1     True       /trends/explore?q=/m/0cycc&date=today+5-y   \n",
       "11              1     True       /trends/explore?q=/m/098s1&date=today+5-y   \n",
       "12              1     True      /trends/explore?q=/m/01kr41&date=today+5-y   \n",
       "13              1     True       /trends/explore?q=/m/07__7&date=today+5-y   \n",
       "14              1     True     /trends/explore?q=/m/02y_4q2&date=today+5-y   \n",
       "15             <1     True       /trends/explore?q=/m/0bzjf&date=today+5-y   \n",
       "16             <1     True     /trends/explore?q=/m/0rzr6nf&date=today+5-y   \n",
       "17             <1     True    /trends/explore?q=/g/120tb493&date=today+5-y   \n",
       "18             <1     True      /trends/explore?q=/m/015m08&date=today+5-y   \n",
       "19             <1     True  /trends/explore?q=/g/11ckxx4f1g&date=today+5-y   \n",
       "20             <1     True      /trends/explore?q=/m/018xnw&date=today+5-y   \n",
       "21             <1     True      /trends/explore?q=/m/01g93y&date=today+5-y   \n",
       "22             <1     True    /trends/explore?q=/g/1235wdfh&date=today+5-y   \n",
       "23             <1     True       /trends/explore?q=/m/068cn&date=today+5-y   \n",
       "24             <1     True      /trends/explore?q=/m/01jp4s&date=today+5-y   \n",
       "\n",
       "        topic_mid                                    topic_title  \\\n",
       "0       /m/01cpyy                                    Coronavirus   \n",
       "1       /m/01b_06                                        Symptom   \n",
       "2       /m/0d05w3                                          China   \n",
       "3        /m/0g9pc                                          Virus   \n",
       "4        /m/03rjj                                          Italy   \n",
       "5        /m/0294j                                          Death   \n",
       "6       /m/0222qb                                 Italian people   \n",
       "7      /m/02bjrlw                               Italian Language   \n",
       "8       /m/05d6yp                                  Coronaviridae   \n",
       "9        /m/0l3cy                                          Wuhan   \n",
       "10       /m/0cycc                                      Influenza   \n",
       "11       /m/098s1                                      Infection   \n",
       "12      /m/01kr41                                           Mask   \n",
       "13       /m/07__7                                        Vaccine   \n",
       "14     /m/02y_4q2                                         Corona   \n",
       "15       /m/0bzjf                                         Veneto   \n",
       "16     /m/0rzr6nf  Agenzia Nazionale Stampa Associata Soc. Coop.   \n",
       "17    /g/120tb493                Particulate Respirator Type N95   \n",
       "18      /m/015m08                                 Emilia-Romagna   \n",
       "19  /g/11ckxx4f1g                                   Worldometers   \n",
       "20      /m/018xnw                                          Cubit   \n",
       "21      /m/01g93y                               Regions of Italy   \n",
       "22    /g/1235wdfh                                    Última Hora   \n",
       "23       /m/068cn                                       Piedmont   \n",
       "24      /m/01jp4s                                        Bergamo   \n",
       "\n",
       "              topic_type  value  \n",
       "0                  Virus    100  \n",
       "1                  Topic      8  \n",
       "2   Country in East Asia      5  \n",
       "3       Infectious agent      5  \n",
       "4      Country in Europe      4  \n",
       "5                  Topic      4  \n",
       "6           Ethnic group      3  \n",
       "7        Spoken language      3  \n",
       "8                  Virus      3  \n",
       "9          City in China      2  \n",
       "10               Disease      1  \n",
       "11               Disease      1  \n",
       "12                 Topic      1  \n",
       "13                 Topic      1  \n",
       "14                  Beer      1  \n",
       "15        Italian region      0  \n",
       "16           Cooperative      0  \n",
       "17                 Topic      0  \n",
       "18        Italian region      0  \n",
       "19               Website      0  \n",
       "20                 Topic      0  \n",
       "21                 Topic      0  \n",
       "22                 Topic      0  \n",
       "23        Italian region      0  \n",
       "24         City in Italy      0  }])"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "related_topic = pytrend.related_topics()\n",
    "related_topic.values()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [
    {
     "ename": "AttributeError",
     "evalue": "module 'pytrends' has no attribute 'suggestions'",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-83-59e99f8548b0>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mpytrends\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msuggestions\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'Coronavirus'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;31mAttributeError\u001b[0m: module 'pytrends' has no attribute 'suggestions'"
     ]
    }
   ],
   "source": [
    "pytrends.suggestions('Coronavirus')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_values([{'top':                       query  value\n",
       "0                     virus    100\n",
       "1         virus coronavirus     98\n",
       "2           the coronavirus     97\n",
       "3                    corona     94\n",
       "4                     china     87\n",
       "5         china coronavirus     87\n",
       "6      coronavirus symptoms     84\n",
       "7          coronavirus news     75\n",
       "8              corona virus     62\n",
       "9        coronavirus update     58\n",
       "10       coronavirus italia     54\n",
       "11         coronavirus 2020     43\n",
       "12           el coronavirus     39\n",
       "13        coronavirus death     35\n",
       "14          coronavirus map     34\n",
       "15          coronavirus usa     33\n",
       "16        coronavirus cases     32\n",
       "17        coronavirus wuhan     32\n",
       "18     coronavirus sintomas     32\n",
       "19                    wuhan     32\n",
       "20      what is coronavirus     31\n",
       "21           coronavirus uk     26\n",
       "22  symptoms of coronavirus     24\n",
       "23           us coronavirus     24\n",
       "24       coronavirus latest     21, 'rising':                          query   value\n",
       "0             coronavirus 2020  197100\n",
       "1            coronavirus wuhan  148950\n",
       "2                        wuhan  145400\n",
       "3   coronavirus ultime notizie   60100\n",
       "4         coronavirus thailand   43750\n",
       "5        coronavirus lombardia   43200\n",
       "6            coronavirus chine   35950\n",
       "7        coronavirus in italia   35800\n",
       "8          italien coronavirus   28950\n",
       "9           coronavirus veneto   28350\n",
       "10            ansa coronavirus   26200\n",
       "11        coronavirus live map   25950\n",
       "12           coronavirus morti   25850\n",
       "13           morti coronavirus   25550\n",
       "14           mappa coronavirus   24800\n",
       "15                 wuhan virus   24000\n",
       "16   coronavirus aggiornamenti   23600\n",
       "17         vietnam coronavirus   23450\n",
       "18          reddit coronavirus   23200\n",
       "19   coronavirus symptoms 2020   23200\n",
       "20          coronavirus napoli   22300\n",
       "21         coronavirus ireland   19500\n",
       "22  coronavirus emilia romagna   19450\n",
       "23                    covid 19   19350\n",
       "24                 kobe bryant   19100}])"
      ]
     },
     "execution_count": 91,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pytrend.build_payload(kw_list=['Coronavirus'])\n",
    "related_queries = pytrend.related_queries()\n",
    "related_queries.values()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
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