pdfplumber/examples/notebooks/extract-table-nics.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Demonstration of `pdfplumber`'s table-extraction options\n",
    "\n",
    "This notebook uses a [report from the FBI's National Instant Criminal Background Check System](../pdfs/background-checks.pdf)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Import `pdfplumber`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-07-18T02:49:09.993457Z",
     "iopub.status.busy": "2022-07-18T02:49:09.992593Z",
     "iopub.status.idle": "2022-07-18T02:49:10.042852Z",
     "shell.execute_reply": "2022-07-18T02:49:10.042300Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.7.2\n"
     ]
    }
   ],
   "source": [
    "import pdfplumber\n",
    "print(pdfplumber.__version__)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Load the PDF"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-07-18T02:49:10.045391Z",
     "iopub.status.busy": "2022-07-18T02:49:10.045213Z",
     "iopub.status.idle": "2022-07-18T02:49:10.048863Z",
     "shell.execute_reply": "2022-07-18T02:49:10.048491Z"
    }
   },
   "outputs": [],
   "source": [
    "pdf = pdfplumber.open(\"../pdfs/background-checks.pdf\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Get the first page"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-07-18T02:49:10.050961Z",
     "iopub.status.busy": "2022-07-18T02:49:10.050802Z",
     "iopub.status.idle": "2022-07-18T02:49:10.053888Z",
     "shell.execute_reply": "2022-07-18T02:49:10.053594Z"
    }
   },
   "outputs": [],
   "source": [
    "p0 = pdf.pages[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-07-18T02:49:10.055733Z",
     "iopub.status.busy": "2022-07-18T02:49:10.055596Z",
     "iopub.status.idle": "2022-07-18T02:49:10.285661Z",
     "shell.execute_reply": "2022-07-18T02:49:10.285375Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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zPy9DSM4Y+t9ejdWrslahKPFx8uQr8ZrX/nLWMpQ++Kd//Ef89J9+jJWFwaylKH3wozNn8bP/80X4n/+X/yVrKUofnDvz93j1LwxkLSM3zM7+HX7ptf8maxlKn5w6+d/x2te+NmsZSh/80z/9BL/ya7+GT3zuc1lLaeFn5ufx02yXjwMgJID/12XL8C9Zi8ghq1cBj0z/KGsZihIb1779cnzlPx/IWobSB09+6zE8+5f/BX/4yZuzlqL0wS2f+Rze+I7rcc21b89aitIHX7zzFnzu7g9lLSM3vOOd27H/wFezlqH0yZZ/+9t44CtfyVqG0gePPnkIU3/zN+Liw39dtgyvII4oWaFT6BVFUfrg5InjePJbj+Hs2TOx7qski3/iJB554hD8EydD92k88yyaZ+Z6Pn6vv12qnDx+HIcefxQnjx9P5PjHjj6Ns2fO4NjRp4O0zp45E6RtPrvCf9vPsS4EfH8WnncYvj/b8++bTW07UZw4/iIef+xJnDlztu17/l23PHP0GE4cf9GaVq/HzDPHT57Eo08ewvGT4deIuDl67Jg1veMnT+I7f/M3OHPWrRzMOfDfHT950vlY3Wjs9ZiKOxrAK4qi9MG+++7FwT8/gI8Nb8O++77qtG83gbwG+8lwz9fuR/3Bv8Dvf+Zu/O7Nn2rb3jwzh9//zN048p1jTsf9/c/cjUeeOIQXTpxEc3Eww28SaGBv5/69X8HBbxzA3Ts/hdtv+ljLtrt3fgqHHn+04zHCAuezZ87g7p134PCT38JfPHAgSOvjH/xt1D6/CydPvIC5xd+GHYPfWAiC/8XfGo3mb9uNiKUQ2NdqU6jXPVQqExgZucu6jwnQK5UJeN7hlu9qtSk0Gs9pEB/Bn967Dw8eeBgf2vZR/OlX/yz4/vjxkzjLgm0afH/6jnE8/tiTbcf79B3jePDAw/jEx28Ltpvf/em9+/DMUbd+8ELg3n378I2DB3HH+Gfx8U/e3rb9js9+Fo8+eSjyGDygNb+xBcB3fPazOHDwID7+yU+2Hffeffuwa7KGp48929M5bPvYx3Dvvn3B9y+8eBJn5lrbl9EadV42jeZ39+7b56xP6R0RU+gVRVHyzOrLLseKFYP4k4k/wsE/P4BbbtuJg39+AGfPnsHJE8ex9/4H2vb9+r6v4eSJF3D27Bl8ZvzzeM9vXotbbtuJ2u5dWPfG9fjhD0/iX//1p8HvV6wYzO4EL1CKl61GYfAN8J44hN//zN1onpmDf+IkSm96AxrPPBsE73QbABQGB3DkmWdx+WWrUbxsNfwTJ1u+M5Tfdg3u+dr98E+cxJFnnsV7N/0m/BMn8cKJk/j/7f8qCoP6bjJn9ZrLsWJwEIceexR37/wUzrJAuPa5XRj+vZtQ+9wufPXAg/jADZsAAL/0b/4N/unll3HyxHGU/l+/hn/6x3/EyePH8dUDD+LunZ/CsaNH8ewzT+OvDz2JN1/9Fjx79Glc/54bcM21b8fmd7wNc2eauOa6hZsIADAwWMChxx7FisFBHHvmaVz/7htw8vhxHHvmaTxy5Lu4e+engv3Mb48dPRronD25F//6039t2f/k8eM4eeI47p16ECsGB9PJ0IwoFlehUHg9PO8wKpUJNJvn4Ps/RKm0Fr4/C9+fxfT0F9FozAAAPO8pAECzeQ6FwnJ8+cvfgOe9FoXCAEZHt2V5KmK57PLVGBxcgc/90Z/gwQMP4/ado3ji0SfxR399BBNfGsd/3PZRXHvdrwNYCMb/6PN34pmj38WTf/kUHjzwME4cfxFff+BrAIDjx1/E4OAKbLrhXXjT+nX49B3jwe8GB1cAWAjyz5w52/K7C501q1djcN0b8NhisHrHZz+LM2fncPzk+ZkKn6tN4veGR/C52mTw3b/5pYvx8j/+I144eRIP7v0qBlcs5OHRY8fwl08dxiWvfS2ePnYM33n0m8Fvjr94EoMrVuA911+PN697Q0ta69etC/azadh5yy0t+7Sdw4oB/NGf7ME3Dh7EzltuwWOHnsT4F4/iT8aq+O3tH8Pb33oNALQc97FDTwZ/P7B3b6hG87vBFQNt+szvlPjRJ/CKoih9cvLECwCASy65FMMfvQnr3rgex75zFCtWDGJgcBDb3vdufPbOO1r2/Y23lzEwWMDJE8cBAG/9jetQ270LA4ODePHF47jkktXYeuMHsWLFII5952gWp7Uk8E+cRPGy1Wg88ywKgwMoDA6g8cyz+K/1e7HhjQsDIroNAIbf/z4UBgfwX+v3BkH9ns9+Gu/d9Jt49cpBlN92TXD8xjPP4v57Po/3bvpNnDg5i+H3vw+DK1Y4P9lfSpw8/gJWr1mDY0ePYsXgIFYMDmLd+vW45jr7+/jDv3cTfvE1r8H7PvBBDKwYxLf/25PB74CFwPqrBx7EG970Zhx//ge4/t03kLSOY4DcHBsYLODQ449h7kwTAPAHu76A6999A5587Jv4/L1/iuvffQMOPf5o234AWjQef/4HLfsDCPQ9+8zTcWaXWHx/FsXiKjQaMygUlqNQWGw/w5tRKCxHo/EcSqW1KJffgkJhAIXCAHz/hwCA5ctfCc87rE/hIzjxwkLfs/rSVdh+0+/iTesX+qs3vmkd/vTefbj2ul/HisIAVhQGgqnxb1p/Jf75n/8fDA6uwIrFwBwAPnbT72LTDe/CiRdOYmLXZNvvAOCZo99t+91S4PjJk1hz6cKN2aPHjmFwxQAGB1Zg/bp1uO6at7bt/3vDI3jNL74aH9i6FYUVAy1PpdevW4f/55//GXsnvoAb3nV9y5Pum0aG8Z7rr8fxkyexq1ZrSYvCv/+94ZEgeH/3tm1BUE31A8Cll6xq2fdNb3gD7t23D29/6zUYHFiBwYEVwc2C6655qzV9rpH+LkyfkgwawCuKovTJ9b91A265bSd+9mfPT2pa98b1AIC5M2ew9/4HcMttO1v2/fu/O4W5M81givw1b3v74u/erE/bU6L0pjeg/LZr0HjmWZTe9AYAC9PbS296A3735k8FUwPpNoN5omL43Vtux9cf/Av8r68rwnvi/KDMHOuRJw7hl37xF5M+pdxjguBjR49i3fr1ABamnZsn4uvWr8fBbxwIboTZWHPF64LfmWPeftPH8A9//3e46FWvCva7e+cd+Pjv/Dauf8/5gP7Zo0/jmmuvC576f+qmj+HgAwdw1a+9Fbff9DEcevwxvOFNb27bDzj/1N5ooPsvNUxg3mjMoFRaCwDWYLxQGIDnPRW8995sngMAfO97L6Jcvrrn9+iXAptueBdu37kDP/ezrZNpr3nr1XjgGw8HAfnZ5lwwHX5FYQA/93P/EwC0TLV/8MDDePDAw3jm6Hfxpjeva/sdsBD8899d6NBg1vwNAGfmzmJwYAUeO/Qk1q9bh28cPIgXXuz8rvzgwAr8Tz/3c/j4J2/Ho08ewpvXvSHYduDgQXzj4EEcPXYM69eta0mLa7J9DwAP7N2Lnbfc0vLde66/HjtvuaWtnrz1V38VBx4+iBsWA/Izc2fRPDvXcl48Ha6R/q4bfUp8LJufz3YtfM/zcJ/nYXu1mqWMXLJj46t1FXrlguLat1+Fr/znR7KWERsnTxzH6svWWLedPXvmggzU87wKvXkazz/b/qb870MfxPD734f3bvrNIMin0+PpDYK8IGUV+pPHj2P1mjVBML5icBBnz5zpOAXd/C7s7zDOnjmDuTNnsHrNGnzghk143wc+GDyxP3b0aaxb/+a2/ehvjUa+f1ZIWYXePI3n0KDePKE33zeb56y/SZKFVej/U6ppJgmdAm/+BhaC8MvWXNqy7+OPPYlrr3ur9XeGE8dfbPudRLb829/GA/fem8ixj588iTWrVwc3eAdXrMCZs2fbburaML85fvKkdcr7o08eCqaz07TCNMQF1U/Py5YO1Rh23nHoM6vQS4sPD3sejnkevpixLn0HXlEUJSHCgncAF2TwnndogM6D9bDgHQD+8JM3B9tt77XnLXiXhAmQacDezfvjPFjvJng3xzbHv/mOnVi95vJgGw3G6X5hurIO3iURFojToJ1/H7ZN6R4ehJu/bcG5Cd7DtgPIRfCeNCYwpYFrN8E73W99yP40eKdphWmIi7BzsaVDNYadd9z6lHZ0Cr3SN7fdlrWC82Sp5b778n18aelK4o+rn85aghWpuqTyyT/clchxS296Q18L0iWl60Lk2NGn8cD+fZ13jIF169/c9WJzD+zfh2NHl8a77XFw221fylpCrrjr03+UtQQrUnVJ5Q/++I+zlmDl/gce6LyTIooLIoCf9f3YjjPXbHbeUWnh+eezVnCeLLX89/+e7+NLS1cSJyLet80Sqbqk4ls8jiUgVZdE5s6ewf84dSprGW38j1OnMKeWj13z/PM/zFpCrnjhhRNZS7AiVZdUXjghs6//27/7H1lLUBzJdQDv1et4/1VX4c6REXxk40YAwFSthqlarW3fsO8pE5UKzi0G8B/ZuBHvvuIKvGPlSnxk40bMNBod9Zg0ukkrLXwf8LyFfy6/iStt12PGlXYcx2o0FvKtn+OY35pyoPeH+tXH89f3zx+/2Ww/flR59KqFptnpWHGUrVmxnX/uZv+k6CeNY985iie/9VgqOoHzWk+eOI4nv/VYm8d8WjqoLzr3SO+0f1L0k0bjmWfxyBOHUtEJnNfqnziJR5441LK4Xloa6OJtNr/zTr9Jgn6Pf+zo0ws+7gnrNJh0Th4/jkOPP9riEZ+WBrpIXLcLxiW9sFy/x280ZuB5hxPRSVdlP9Hljbdu9+uVfo//zNFjePyxJxPXaTDpnDj+Ih5/7MmWhfLS0kB92G2e7FH7J0U/aRw9dizUXz4JTDrHT57Eo08eavO7T0sHZ6bRwGHPw2HP6/hwN66Hv1mR6wB+qlbDDcPD+NL0NN5SLmPW97F3bAx7x8bw8H334SMbN2KiUsFcs9n2fWXLlpan7XPNJuaaTawqFgEAX5qeRnloCK8vlfCl6WkAaPndVK2GvWNjQbC+d2wMT3/rWwAQpDXTaGCm0UBlyxZUtmzBTKPR8ru7RkaCyjZRqSSSR+Y+QrMJmCTovQgaYNL/gfP795s2/dxonA/4ePDn++f3i2pXtqCxU/ombdsxbGnV6+dvetRq9iC1k4ZaDRgbWzhWvQ4UCgt5asqiVmtP21Y2Ucemn+l39Xr7+ddq7WVq0qD7dnGvKqBebz2mrQxtNwt6neiy77572z4f+87RIBA9eeJ4y2e6f1hwSn/Tryajx3Zsnv7BP/8GnvzWY8ExbBr61daq86uY/OIuHPzzb+Dh//INrFgxiM/eeQfOnj0TWNztu+/eFp38XOLinq/d3/a58cyzQSDqnzjZ8pnuHxag0t/0q8nosR2bp//1B/8CjyyuOn/P1+63auhXG9c5PnEPvv7gX+DrD/4FBlesCHzqf/8zdwe+81HnEgfGL51+Pnb06bYg1Px98vjxYL+o4JT+ph9NRk/YsbmGgw8cwKHHHwuOY9PQj7Z2rfei9vk/xsEHDuDgAwcwsGIw8L2/e+encP/er7RppOcTV4Bfq021fW40ZoLF5czq8Abfnw32iwqQ+e961WT0hB2Xa6jXPXje4eA4Ng39aPvTe/e1fX7m6LEgCD1x/MW2gNTsFxWc8t/1qsnoCTsu1/DgNx7G44/9ZXAcm4Z+tLVp/eqf4Qu7JvHgNx7GA994GIODK/DpO8ZxW+XTgYZW67rWc4mLe/fta/t89NixlkXm6Ge6f1hwSn/Tryajx3Zsnv6BgwcDO7p79+2zauhXG9e5a7KGAwcP4sDDB1FYMYA7Pns3zpw9G1jY3btvX4tOfi5J4tXrwWfz8JXGWDONRhDH0X3yRq4XsfvA6Ci+OjaGu0ZGsHl4GKuKRZSHhgAA//TyyygPDcGr17F3bCz4/okHH8TaUgkzjQb2jo0FqxseqNWCfWzsHRtr+R2wcPdme7WKqVoNs76PFStXYtb3g+OsLZVQ2bIFa0slLC8UUNmyBeWhoeB3s74Pr17HuWYTry+VksyqgLGxhUDSBJQmkCoWFwK3YhE4eBB47LHzT3EX72n0hGkzzeZCYFcsLnxXKJxPc3Jy4bticSForlSAUgnYsgUol4FqdeE78z/9nYuOUmnhvOn5Fgrn0/r2t8/vX68D+/cvnH+5DOzcCXzuc+fPpxsN5fLCfmNjwOI9IAwNnX8Sv2zZwjHGxhaOYyubsEUuzbHpZzrLwveBxx8/f+7mOKZMTZBN8wFo1dBpgc1mc+Gf0To21lqGtE6Z/bvNuyhMsHn27Bnsu++rWH3ZGuy78w6sWDGI1ZddjmPfeTr4/OS3HsMti79Z98Y3Y/vINrz1N67DLbftDI5jfvOZ8c/3JohpW/fGN+Pgnx9oOfaKFYNB+t/4i4WCefi/HMDE5N6FwHjRQu6zd96RmLa3/sZ1WH3ZGtR278Le+xfed7v+t27AoScWnsSbAP3Yd45i8ou7sPqyy7FixSAO/vkBDAwWMHemGVjhxcHvf+ZuAAvWbPd87X4UL1uN3//M/SgMDrT4shcvWx0EyL//mbtReuM6bP3wx/HOt12DP/zkzcFxzG/23P0HsWgrvXEdvv7nB1uOXRgcCNI//F8Xgoz6nx/E/fd8Hv6Jk4H/++9/5u7EtL3zbdegeNlqjE3cg/9aX7h5dObsbwZP4pctW4YjzzyL8Yl7sOfuP8D4xD0oDA7g639+EIUVK9A8ezY2h4C7d34KwMLq6/fvvRer16zB3Ts/hU/v+gLu3vkprF5zOY4dfRorBgexes3lOPT4Y7h756fwhvVvxsd/57cx9c0ncPfOT+HmO/4gOJb5zad3faFvbW9Y/2b8xQMHguNTPVQDAPzFNw7g8/f+KU4eP45rrjt/jCS0AcA1174dq9esQe1zu/DVAw8CWHg9wDyJX7ZsGY498zRqn/9jfHrXF1D7/C6sGBzEXzxwvj3efEf/9QkAKpUJAECzeQ612hSKxUtQqexGobB80cf9OUxO3opKZQLF4ip43mFUKhMoldZiy5YKyuWrUa1uR6UyEfxPf9evtlJpLer1hQsc12M0fPvbXwOwEMDv31+F78+iXH4Ldu68B5/73Cdi1fbpO8YBLKzU/qdf/TNctuZS/Okdf4bBwRW47PLVeObpY/ijz9+JT98xjssuX70QIN8BvOnN6/Aft30U117367h95w58+o7x4H/6u3749B3jeNOb1+HBAw8DQJseo8F7fKHOPXDgYfxfe3cvBMdvfys+W/0C7qzenog2YGGhvMvWXIqJXXvw9QcWymzTDe/CxK49QYD+zNFj+MKuSVx2+WoMDq7AgwcexorCAM4253D7zh19azCYYPPM2Tncu28f1qy+FPfuuxuDKwawZvVqHD32bPD50ScPYectC79Zv24dfnv7x/D2t16DnbfcEhzH/Obzn+l/bRqTzoGDB1uOPbhiIEj/iW8sjDO+8fBB7J34wmJg/Nbg90lpe/tb34o1qy/F52qTeGDvXgDAe66fw6OHDuHM2bkgQH/62DHsmqxhzerVGFwxgAMHD2JwYAXOzJ1ts7qLi7WlErxCAVeXy5ioVBb+XoyzZn0fT3keLikWsbtSwfJCAROVClYVi5hpNLB5eDgRTUmR6yfwP/R93DY5iW+ePo0f+j4OkwjmuUYDzzUaGDCRySJzzSbONZtYWyphLQman/K8yADe9rtVxWLwxH5VsYhXWRa7mVv8jQnc6e82Dw/jsOelUnEKhYWArNlcCKCKxdYAcXh4YZ/RUeAnPzn/m36Cd2Dh+NXq+QCRTiM3aRqGhxeCUWAh0C2Xz2+nT2z577qFFi89hkmLQs+70QBeeqlVRzcaisWF49J7MybgLRSAwcGFtOk52som6tj8c6m0EJyXSsDP/3yrZqC1TIvF9vOgGjpBn9qbGyO0DGmdiqP8DLfcthO33LYzWMX90BOPBk+pt974geD7rTd+AG/9jeuC313/W+/BW3/jOgwMLiRu+00cXP9b7wk+02Ob9A2XXrom+HzsO0dx7DtHE9W2+rI1eOtvXBf40wMLHvUDg4OLNzzWBDpXrBjE3JkmVl+2Bqsvuzz24B1YWLn9Dz95c7D4m/fEITQXnxB8+P3vC77/8Pvfh3e+7fyqt+/d9Jt459uuQWFx9VvzZJv+Jg7eu+k3g8/02CZ9A12dvvHMszjynWOJaitethrvfNs1LSvbN8/MoTA4gMLgAAZXLMd7N/1mkF7z7FkUL1uN4mWrYw3eAeDmO/4AN9/xB8FCb4ceexRz5An1+7Z9MNj2vm0fxDXXXgcAuP7dNwSfgzq/+Dv6m34x9m82PVQD0LpK/bGjR/HsM08nqm31mjW45tq3B173Jh2zuv3AihW4/t03BOnNnWli9Zo1WL3m8liDdwCoVrejWt2OQmE5AMDzngqeUA8Pbw6+N3+Xy1cDAIaGyiiXrw5Wizce7rbf9cPQ0PkLND+u0WCgq903GjN46aV/jF3b7Tt34PadO4KV2p949Pw08N/+wL9vWcH9tz/w73Htdb8OANj0nnfh2ut+HSsW84s+1ea/64dN73lX6HGNBsMasqr8M0e/i5dfejlRbZetuRTXXvfWwFMeWLC0K/xCIVjhftN73oXBwRU425zDZWsuxWWXr449eAeAnbfcgp233ILBFQvl8dihJ4On1B/cujX4/oNbt7asvH7D9dfj7W+9BoMDxnZtru03cXDD9dcHn+mxTfqGNZeevwYdPXYMTx97NlFta1avxtvfek2LDd6ZubMYHFgR3PAwOgdXDODM3FmsWX3pgvVegsG7DRPXLS8UgnjtKc8LZmCvLZXwXKMRvD6dJ3L9BB5YmNa+qljErO9jVbGIgUIBXr2O5YUCLlm8q0K/v2LdumC6hAnEZxoNXLK4TxhrS6XgBsHaDk/LTVozjQbKQ0O4c2QEA4UCto2OtuxnKlOn4/ULD06bzdanrlF4Xvvve8X3FwJL29TwQmEhIDTpVSoLGk1A2usMFzq9u14/H0Dzffjxh4eBkZHz+77iFed1uObH0FCrjmp14TxtMyBdyiYsrSuuWFjM74//2J535j6X758PvG0aOuH755+ib9lyvqzirDOdOHniBax745vx4ovHW74fGCxg331fDZ7AAwtPt4995yjWvXE99t33VRz7ztGWgLofzBNzYGFqvM3j3aRv2HrjB/HJHR8P9rv00jU49MSjsWvjXP9bN7ToveW2nTj0xKPBdH7K3JkzwQyCJPFPnETpjevapncXVqzAPV+7P3gCDyw83Ta+6vd87X4c+c6xloC6H8wTc2BharwJjPk+dEr6h9//PvzuzZ8K9rv8stXwnjgUuzbOe3/r+ha9f/jJm+E9cQgnTrZPa26emQtmECTFyeMv4A3r32yd2j0wWMD9e+/FoccfwzXXXoe7d34Kx44eBbAQmN6/9148+8zRloC6V8zTcmBhWnzYlHeqAQDet+13cPtNHwsC5tWXXY5Djz0aqzYbv/nuG1o033zHH+DQY49i9mT7dOGzZ84EMwiSwvdnUSqttU6PLxQGUKtNwfMOo1y+GpXKBBqNGZRKa1GrTbVMde8XMysAWHiq3myeswbdRoNheHgzRkbuCvZ9xSteEbs2yokXTuJNb16H45bp3SsKA/jTr/4ZHn/sL3Htdb+OT98xjmeOfhdvWn8l/vSrf4Znjn43Nh1mVgCwMC0+zMfdaDD89ge34hMfvy3Y9xU/+4rYtdnYdMO7WjRfuvoSPP7Yk237nT1zFs88fSy2GwhhGF/24y+2XoMGB1bg3n37gifwwMLT7aPHjmH9unW4d98+PH3sWJv9W6+YJ+bAwtT4M2fn2gJvk77hg1u34uOfvD3Y7/JLV+OxQ0/Gro1zw/XXt+jdecsteOzQk8F0fsqZubPBDII0MU/flxcKwXvxa0ul4IHqTKOBqxdfwc4by+bn5+ezFOB5Hu7zvGAquyv0qTb9bvliBESDchPkzzQaPQXNLr8zaUX9btb3cefICD4wOoqre4h4dmx8NR6Z/pHz71ymxdsCXs7WrQB7dSf0WED48YyusbGFYNDzFoJdF71RWmzH4WlxveaJdNjvKePjwI6QG8S2c7flbVQaUccPw3Y8k26lsvB0vJMGl3T7feXi2rdfha/850e63t88qbYFmCdPHA+eKk9+8XNY98b1OPTEo7jltp0t27rh4//H7+Dzf/KVzjuydA08fap/7syZlv1dtLnootjyzXbTwTWfAODJbz2GZ//yvzg96TVPqm0Bpn/iZPCUe3ziHpTe9AZ4TxzCH37y5pZt3fD/HrkJ/3myO8s227F5+lS/edId9fs4dFFs+Wa76eCaTwBwy2c+hze+43pcc+3bu9rfBMphweXJ48cXpox/fhfWrV+PQ489GjxFNtu64dDjj+LZZ57Bhz/2ex33DTuuTYM5h7kzZ1p+0622e77wObzhTW/qOr8otrwzT+MpLvlk+OKdt+Bzd3+o6/3Nk/cwD3bfn0WxuApjY3tRKq2F5z2FanV78H23bN16K/btu6urfcOOzTXQc2g2zwW/cdH2jndux/4D/6mrfYHzT6rDAswTx1/EZWsuxRc+twdvWn8lnnj0Sdy+c0fwfbd8+Hc+hnu+0t2rG2HH5hroOZw9czb4jYs2F10cnne2mw6u+WTY8m9/Gw/ce2/nHY2WxSfvNl/z4ydPBk+Vd03WsH7dOjx26EnsvOWWlm3d8MGP/x7u/fznutrXdmyePtV/Zm6uZX8XbZ+r3YPfG/5wV/tSbPl25uzZtnx0zScAePTJQ5j6m7/pOT4EWmMxuu6ZLTbslsOeh2Oehy/2oSsORATwn7/vPrzrxhuzlJEJzx05ghe//3387+97X0+/v6fy7zBejWdhpH648854/dd//GPge98DfuVXgFe9Klkt/aTFuf9+oMeizOT4f/u3wGtfm366UXzilv8Vn/j98c47OvLSSz/Gcf95rClegYsuci/oL33+bnzk471PPe43/aR0JcGz330GJ479Ff7jfwh/JalXzv34ZXzfP45fLq7B8le90vn3d33uT3Dr7/0fmaWflK4kqP2nKVy+/mq84U1vivW4L/34xzj+/PNYc8UVuKiHTvfZZ57BCf95vOuGzZlpsPHwgSlcVrwi9vzqlwf+Uw0fGXlX5x0d+fGPX8L3vncSv/Irq/GqV13k/Ps77/y/cNtt/zFTDTZuuWU3Prnz92M5FuWlH7+E558/jiuuWIOLetC66+4v4qab/89MNSSlKwnuvH0c/99PxH9tfOmll/CD48fxujVrcNFF7nl495e+hJs/8pHM0g9j6uGHsfld8fcT/fDMs8/iL0+cwHs+1P0NyDR47sgRnPZ9fG3Pnkx1iJhC/6NTp/CUi8/ZBcSKX/iFns/9R/8wCM/LftD3k588Ac97W+zH/au/Sk9LL2lxTp16Fp73hs47Cjr+s8923ifp86LMnbkff3OkffpVHCwDcOL//k5Pv/2Z+X/pW1c/6YcRh664OXH8OE6cOo1Hvv1cQin8DA4/19tqxD/511fEoKv39MOIR1e8/PDU3+MVM8fwM//449iP/TMAXjz2TE+//R+nTuHl0z/CzF+1T7dNS4ONl0//A/7HsvlE8qsfZk+cwn/58+SmQ//32d6mnr700nxsunrVYKPZ/DH++tCxzjv2yN9854Wefvev/7IsNl29arARp644ac6dw6G/+ZtkDr5sGZ45caKnn/7Lz/xM/7r6SD+MH730UnL51SPHT5zA3IkTOCEsPvy748cxv2xZ1jJkPIF3mUJvpscPFApt0x5cp0HknR0bN+IRs7x5jzQXp5QUCgV4nodSqYQCmVpivvN9P9i3XC637Lt161bs62YOvQV6nGaziUaj0aKBbuf6bHpdtEQdGwAajQYKhQIKhQIaiy+FlxdfdbDtPz4+jh2Oc9zNcUx6Jo24jk/Ll3/HyzTO8+oGW1obN27EdJ91uhd4Pvm+jyLpS/qp43HoAtBWB7PURbG1S8/zUE1gehlPy7UuJ5VfUf0Y3dZoNNp0JqkrClrnbf1EpVJBuVxu0Zk2YdekI0eOJNIn9aNrfHwcGzZsEJdfN3/iJtx2602ZaQrjQx/+KL58z+6sZbTx3i3b8Mgjj6aeLu/r0+q7utUl7dpIkTSWMNjGs4Dc/EpqnOdC0mMJ2/WX1++wdkh/a7QlMcZxIXer0Hv1OnYvrghGPfyMpx9fiMBsA86/L0/3oduXGs1mE1u2bEGj0UBtMS/HjJE4YP1ubGwMlcX8r/RpFM+PU6vVUCgUgvTodr5vvxqijg0snKfv+6jVaqjX6y0NN67zp/lL0zDHpfneC7R8o74z6djKOyniysM44HkyNjYW5EWWUF28DkohzXLkaUXV5bjaUC+6aD8Wlj9p6IqC5p0tHyUgqY+gqC4lbvhYjI6DpOgC5FwbKVLrvaRypEjNrzR1mTLh9bubdiipPHMVwM81m5hbXE3QBN1TtRrONZtBUP+U52GCBPhm20Slgqc8D3eNjATe8Py3S5FhYl/nWaapmO/MU3hzx6lcLrfche2FarWKcrkc3PkaHR1tG0SadPi+/O9+0rYdy/f94O6b+eyTGz9xnD9wPn95GuVyOZaAbdhiT2i+42VK9aRBXHkYByZP6IwICRhdtjoohbTK0dZOo+pyXG3IVRfvx2j+2HRmBe0bbP2EBCT1ERTVpcSNaYO2cVCWSL02UiTWe2nlaOh37JwkSZej7frLr31h7VDStduQqwD+ALnz5xH/K+PpZ7zVKdTvb/PwMJYv2rmZ7+j2pYaZHg7AWjH5d77vt3Tg/Q6Om80mKpUKRhft9Xzftw4km81m2778737Sth3LBPaNRgPDw8OoVqttwVO/50/zl6YxNDQUy10+Wr5h39EyzaJzkvBUmebJ2NgYPM8TceGlusLqoBTSKEfeTqPqclxtqBddtn6M5g/vR7OA5p2tn5CEhD7ChupS4oKPxaTcUJN6bbQhrd5LKkdKv2PnpEm6HOn1l1/7OrVDCdduSq4C+Fnfx/ZqFdur1cCT3Xj6mc/G849vCzte0h7seaFQKATTdD3Pg+/7Ld/RTrtQKMQyjWpkZARA6xRuqmF+fj5Ih+/L/+4nbX4sz/Nw5syZQAufRh/X+dP8pWnU6/VEBtWmXA38Qkz1JE1ceRg309PTqFarojppANZXOSSQZjnSdtqpLifVhrrRNT4+HpQVzx+pg1+JSO0jVJeSJFL7eqnXRqn1Xmo59jt2Too0yjHq+svHFLz8JF67RaxC3y23Tk4Gn6v79wM47+tXHlqwLJr1/eDztsU7TOZvAMFiedur1bbfLkXMQg7lcjl4+ut5HorFIkZHR4PvAAQdt/m+36ku+xfL0ECfQHueF7yHbkuH/7bftDl79uxpOXf6Oa7z5/nLP8cxlYgvqFQsFluOSy/GXE+SxJWHccHzSco0KVv7lESa5UjbrOmjwuqy6Uuy0GXrO+gUeikDYFrns1x4LQxpfYRBdSlJILWvl3ptNEit93Q8K4l+x85JkUY52q6/dNFbOqbg7VDStduQqwDexgB7wkJXoefbOv12qUMrLv8ubN+kNWTRKdvS5jri0hWWRhLn3c0gPc38lnbBlY7U/MqyjUYhte9Qukdq3qkuJUm0HN2Qml9SdUkly/yyjSmkl1+uptADC0/Y+aryYfsp/eN5XjCFJOxzXJip89yqgU5hoVNc4tJgS5cfP0pXv2nb0qDfx01Ymoa03rNOog7FgURdYXVUAlnqiqrLqqt7JGnq1D9JQKquJK8bSnpIrV+qyw3V5UbauhqNRmBVZ9PAx+R836zJXQAfZSNnPtNthqVsF9crYVZrSVk0RdnIUVs3vi3udPnxw6zr4rR5o8dM0tapk3VgWjYx0q1MpL0fppY07djaT1w2kxeirjAkaerUP0lAah8h1Q5QcUNSe6SoLjdUlxtZ6oqyrjbbJK5nkKsAvpON3ESlgplGIwjevXo9+Hup28X1AreboBYPSVg0RdnIUVs3m7a40406d/N33DZv9JhJrl4aZh2Ytk2MROsXID37MRekWtIA2ZYjbz+8jaqu7pCkqZO1qQQk9hGAXDtAxQ1J7ZGiutxQXW6krSvMftYW50i08s1VAN/JRm5tqYTnGo1gFXqvXg/eiV/KdnG9YrObaDabiVk0RdnIUVu3MG1xpht27kB8FlV0lWx6zCRXz46yDszCJkbaIDhN+zEXpFrSGLIoR1s74TpUV/dI0NTJ2lQCUvsI6XaAihsS2qMN1eWG6nIjbV02azhbnCPRyjdXAXwnG7mZRgNXk4UIbp2cxO5KRe3ieoTaTVCLh6QsmqJs5Ey6pnHHaYXB7SI8z8ONN94YHJ/bWyRx/mnaXhm4bVyaNjFSrV+yKIdukGpJI6UcuQ7V1T0SNQHp2lq6ILWPUC4MJLdH1dU9qsuNLHTRh1U85uD9vMQxWK5WoXe1kTO/Ubu43uB2E9TiIQm7h042ctTSIU4rDJvdx0MPPdSyD9URp0UVt46xOQHETSe7mjSeekm3fpGqS5olTdblGNZ+VFf3SNMk1U7LILWPAGTaASpuSGuPBtXlhupyIwtd3BrOFnPwcb+JTySQqwDeRpSNXNg+Sm+kYY0UZSOXZMPm76hGbU9KSxYdapaduLQLiEF1uSFFVxpttBek6qJI1ASoLmVpIrV+qS43VJcbEmzk0rCPjotcTaEHWm3k6HdK/3ALB25dZT7HaWnFbW9stg1p2DF1spEDWu3V4rDr4RYWJj2btUWc0IU4ovI/aSRamUi0CgHURs4QVl95m8k6v/hiN0nYX8aNhHf7eDlKWzTIILUM1UbuwkBq/ZLaHqXWe9XlRhr1nltTd2sjl/S4vBdyF8BTGzkgPHifIe820KBf7eTs2CwcqHUV3R6XpRW3veEaaDrcUihOywmbLZDNMs5oiNuuh+cv/T5uqB0fP480bZukWplIe8fJoDZynfsL4HzdzTK/uOUl7TukWqOlZR/ZLWNjY235KAWpZag2chcGUm0KpbZHqfVedbmRxlgiLA1bXBHWz0tql7kK4LmN3N6xMUzVapiq1TDTaGBi0UpuYnHhOvP5Kc/D7kpF7eQisNmycesqY68Qp6UVXVmba+Dp0DtfcdrIAXZbIHO+Nnu1OFYE5xYWJj2btUVccDs+fh5p3l2UaGUi0SoEUBs5Q1h/wdtMlvlF25it75B0Bx9I3z4yClqOvK+ShLQyNEh2qlC6R6JNoeT2KLXeqy43kh5L8Lihk40c7eeTHJf3Sq4CeG4jN9dsYvtiZpp3383fdMG6zcPDWL5YYGonZ8dmmxZmrxaXpRVfyZdroOnwhhOnjVyULVCz2WyzV4tzBWJuYUE9J5O4UFI7Pn4eWXRO0gYpEq1CALWRA7rrL0ybyTK/aBvjfYe0AQCQjX1kFKYcuXWoFCSWIaA2chcKkm0KJbZHqfVedfVGkmOJsDjHZiNn6+eTGpf3Sq4CeJuNnOGuRVuxicWn6169HvjB09+rnZwdasvmeV4wVcpMKaYWD0nZKXAN4+PjLeknZSPH7SK4nURS9mr0QkjzN+kLZFjZpWnbJNXKRKJVCCBXV1blyK0eeZvJOr9M2rzvkGiNlqZ9ZCd4OUrLK0BmGSoXDpJtCrXeK0mRxliCxw1RNnK8n5d24wrI2Sr0Nhs54PxTdwq3k9teraqdXATUls3zPBSLxTbrqjBLt36gK75zDXv27GlLP0kbOTp1h9tJmP1sunuFWlhwC42kBtO8TOl5GA1p2DZJtTKRatcmVVfa5Wjqq+d5bVaPtM1kmV+2tOnUfonlCKRjH9kJ2idKr/PSdAFqI3chINWmUGp7BOTWe9XVPWmMJXjc0I2NnKnvfF8J5CqAd0Ht5HqHNu4wS4WkLy4SbOTSvoCmlV5UOmmes7QBikF1uZGFrm4GIFItEqWWo0Sk5pVUXcqFgdT6JVWXcmEg3UZOGrmaQq8oiqIoiqIoiqIoS5XcBfDqA58MYb7JYZ6ISfk1co9y7j0f5tfYC9QL0+aLGeWXHpePJj0OTS+p/KV5avO1THMFdklet7QcJOmiSFwdH8jWUzaqT0qzHMPSDvOnl7aK+VL2Be4F1aUkiaS+Pg/XRu2/3FjKumga3cQVtB1Ky7fcBfA2H/gptvAB9XrnHvC2fWYELk6QNjbfZOqJaPNDj3ulVO4zSjXxxVP69UqlXpg2X8wov/S4fDTpcWh6SfoM28rZfE7T51WSDzwtB0m6KOrB2w7tA3i5pVmO3aRt2pjERaCWsi9wL6guJUkk9fV5uDZq/+XGUtbF0wiLK2zxTpLj8l7J1Tvw3Af+QK0WBOFevY5VxSJmGg1cUixid6WC5YUCVhWLeK7RCD6bYJ3vM9NoYLNgm6akGR0dbbtgmEWNzN2pcrmMer3e8l2c+L6PZrPZsrCb0WTugvF31Y2eXqA2U9xyimvh2+OyqKI2eSY9c1cwCWielkol1Gq1oJz5OSdNuVwWc9E15cDrvBTSLhsXsrS3M33A5OICp6bc0ixHnhb929bGAHnv1km1KJTUR1BUl5IU0vp66ddGQPsvV5aqLl6Hw+IKM3OuVCq1PZ2XRK6ewEf5wJsAHmj1ejce8GtLJTzXaATWcmYf/v1SJczz3XgmUm/SpHxwuc8o1cT9ufv1SqU2LTbLlii/9LgsXrgGk16SPsO8nKmvZRY+rxKeRtJysPmESkA9eNuhfQAvtzTLsVPatI3xfkwCUi2rDBL6CBuqS0kCSX19Xq6N2n+5sxR18Tocdj1uNpuBnTWNRyQ4tVByFcBH+cDfOjmJ3ZVKqNf7TKOBqxdXGaT70O+XMtQ32fjAU89E6k2apA8u1UB94Lmvc5JeqZ7n4cyZM6lPdw3zvI8Tmo+2AcJS94HnPqGSkDj9OktoH8DLLc1ypGlJ96fPE1L7CNWlJI3EPkLytVEiUtvjUtbF6zCPe6gP/PT0NKrVassDLmntMldT6Dv5wN86OWn1ejfbjTc834d7xi9FqMen8YHnnolJ+MBHaYjygY/DK5VaUXFbKp423x6Xj6Y5TrlcDj3XOOFerll5Z0vzgaflIBH14G0nqg/gfVeS0LQk+9NHIbHeS+sjDKpLSRJpfYT0ayMgU5vU9riUdfFxAY85uA+82YfqM/tKIFcBfDdEeb2bKfZ8H5tn/FLEVNqwzjANf0SuISrNpDRI8IFPy/PeZVuaOpR2NL/akZYn0v3p84bUvFJdSpJoOV4YSC1H1dWeZjfjfmn5lqsp9MDClPfD5B13g7GSM6vO8yn2NtR+rjtrOLOoCrVbiNNOgb5/EmXXxtPsxzqkk0UdT49+ttmvdQs/V3OcJPPXhSytt6SgutzIWleY9aIEXdyek/8tCUnv5Ruk5pXqUpJEajmqLjdUlxtJ2id3azdL9+UxhiR7RyBnAbxXrweB+V2L7zIYOzhqJbd3bAzLF5+yU4s4HuQbqKXcUqIbazizjb77EafdA007yq6N6+vXOiTKog6wW+jx83V9F4yeK4C2d/p5/qb9rlmW1ltSUF1uZK3LtCneP0jSRW0bbTaOEuB9kwSyLsMwVJeSJFLLUXW5obrcSEpXVBzB04yyl5Zk72jIXQC/bXQUV5fLqO7fj6laDeeazRZfePMdAEwsLmo3Ualg79gYpmo1TFQqeMrzsLtSwVStZj3GUqJcLrfcmaIYGwVg4ekMXSG9XC73vYAcPb4hyq6N6+vHOmR0dLRldUnbnbVyudwyvcZ8LpVKzitS2s6Vpss10HJJE3qeF1JaLqguN7LSxdsU7x8k6KL9jO1vCdj6JilonXdDqi7FDanlqLrcUF1uJKUrKo7gaYbZS5sxuqRrZa4CePquunkSTy3jDMY2Dji/UB21nDPWcgbbMZYCnazhqI0CtVuIy06E2zRE2bVxff2uQB9lUUfhU2vo710aMj9Xni793K9FXr+keeNA4jQuQHW5koUu2qbCbqhJ0MUHAdI8i219kyS0zrshVZfihtRyVF1uqC434tYVFUfwNKPspSXZOxpytYhdeWgId42MtATfa0ulyHfZvXod55rNlt9QjKXcUnwfvl6vo1gshlrDTU9PA1iYXlKr1VAqldBsNjEyMoJisYixsbG+fBHp8TsRt4UDPR/6maZnpspwe4teGrDtXMM00HJJkzTtRZaylUkvqK52aJvi/YMUXbxvsfU1WePSD6eJ1nk3pOpS3JBajqrLDdXlRhq6+h0nSLORWzY/Pz+fpQDP8/D5++7Duxa9czvx0o9/DAC46FWvavkcxj/87d/i1a99bVfHyxv3VCoY7yOABoC//du/xWsX84d+7rQv5c4778Rtt93Wl45u6KTPVUunc3fJGwC4//778b73va+rtDulYUuvl+O7kma6trRGR0czfz/YpiutOh5FXnQdOXIER44cwYc+9KFMdUjJL6m6OvHlL38ZGzZswIYNGzLTYMurI0eO4Pvf/37ifWEUYf3kL//yL4vLr8nJP8F/+Pf/LiNF4fzRH0/gE/+f7VnLaGPnp8fx2c/enakGqX1EnnTpWCKcrMaXnUhjLNHN9bjTb48cOQLf97Fnz57YdPWCiAD+U3ffjV9Zvz5LGbnksfvvx9aMGxwAPPHEE3jb296WtQwA2Wp59tln8YY3vCG3x5eQroSLiA1JdZwiUdfx48dx4sQJXHvttVlLaUNifgEydT3++OO47LLLsGbNmqyltHDq1Cn86Ec/yqQvjOLZZ5/FL/zCL+Diiy/OWkoLj37zEfzar/1q1jLaOPTfnsI1v/aWrGW08Y0HHsLWrf8+axltSOwjALm6dCzhRlbjyyikjiWOHz8OANi3b1+mOkQE8Pd5XvB+eidmGg2cazbx+lKpxc991ved/Nxd95fIjo0b8cji9Me48H2/ZUEHOtWEbzeft27d2nNF5sc3CyoVCoVgJUhgYaEJui1Mr4sWmnaj0UChUGg5Fk2Pp23TMj4+jh07djidP11AyiyQYUuv1+Pz/KXfmTSB8x6Ytv17SbcbbOe4cePGYEpvVth09VPH4yIvuowdYj+v1yShC5CZX0D2umyaKpUKyuVyV972/dLNdYZqPXLkSCJ9UpQ+2j/bdI2Pj2PDhg2p5FcYtnK8+RM34bZbb8pMUxgf+vBH8eV7dmcto433btmGRx55NFMNEvsIIF+6dCwRTlzjy7hJayxB++6wsb1Z7wtoHx8bK+msxzi5WsQuzEYOQIuNnM06jlrFzfp+sP+MoAUJsoZbCdlsFKgNQ7/vq/Djh9mnhdnc9aOBpm2zh6D2EklZVHEbP2MvFdfxbVZ79Dv+Pk+/1nwuLDUrk35RXW6oru7JWlPS15k44PZ/UnRRsi5HJR6klqPqckN1uZGWLtp38zRtGuKyrk6C3AXw1EaO2sQZbNZx1CrO2Mgd9jzr75cqYVZCZsVkuj1O2yG+IjO1T+N2bdT+IQ4NJu0wewhqL0HTjstGz6TRbDZb7KXiPL5txWt+3nT1/TRXyF5qVib9orrcUF3dk7WmpK8z/UL7Z0m6OFmXoxIPUstRdbmhutxIWhfvu/lYm/5ts4uW5iCTqwDeZiNnbOIoNus4ahW3eXgYVy9OibD9filisxKiNgp0e1y2Q9ymwWafZuzaeEPqVwO3iwizh2g2m21px2Wjx238TOcQ1/FtVnv0O26f1681Xy9IWtGTorrcUF1uSNSVlaakrzNxQPtnSbpsSKxbijtSy1F1uaG63EhSF++7+Vib/03torMYH3ci9zZyNps4/h21ihsoFDBVq+Gw5+HqcjnYd6lDrYQ8z0OxWGy5E0a3m2A27qku1D7N8zy8/PLLwTZu/xC39RE9tud5mJ+fb7GRo9vjstGj55uETR/HlKshS0urpWxl0guqyw3V1T2SNKVxnekF2leq7Z6SJFLLUXW5obrcSEMX77vpWLtcLmPXrl248sorMTY2hqEcPNzNVQC/tlTCqsWL+gAJzulT9O3Vatt32xbvppjvZn0fmxfvpvN9lzrVarUl0OML8tCAMo7gkh7fPA0uFovwPA+bNm3Cpk2bACxMYfR9v61R9aPBpF0ul9uObd6Lpwspme379+/vOU0KPV+eRlzw8qM3ZmznndYCTKY8pU3jUl1uqC43JOqSoCnp60y/mL6a9pUSdFEklKPSP1LLUXW5obrcSFOX6bvpWN7zPDz00EMt+9leqzX7SiBXATyAlpXnAVhXkuffRf0m7yvRJ0GWq+iG3Tig25JMl6ZNv0sq7TTSMKSdp52QdgExqC43VJcbEnVJ1CSNPORRHjQqnZFajqrLDdXlhqSbyHkgV+/AAwurxh8m77PHgVmpfqnjeV7bdGqzyFmz2WzZ3mw2Y5l6zY9D/zZpmrtdNn1+DGXH0zGY9IxlBF9EL87z5/kLxHNursR1Xp2w5akU0soDV1SXG6qreyRqAlSXK1J1KW5ILUfV5YbqciMNXTwNvpAzAGvMk5Y+F3IVwEfZyAELgTgN7OnfNms5vvq8LZBfKivU2yzcqL0atdGJy06BH4f/Td87D9MXxzsz3E6Npmezk0jC5k2CTVEW9iJ80cKsWeoWK66oLjck6pKoCVBdrkjVpbghtRxVlxuqy400dPE0bBbSZuzNx+Q2K+usydUUeq9eR3XxnYWry2VMVCpYWyrBq9cBLEyHf67RwK2Tk5ioVIK/VxWLWF4otOwHAOeazRZPePP9rO9je7WKiUol2GcpTLUvl8uoL+YRcP4uVKlUwtDQUEslj8tOgR+H/m3uitFp9UafsYOI4wkuT8dQLpcDe7larRa8N2OztesVc76jo6NB/sZ5bq6Yc04anqeSSCsPXFFdbqiu7pGoCVBdrkjVpbghtRxVlxuqy42kdfGxO41xzPdm7E3H5AZpM0Zz9QS+k43c5uHhltXozd9zzSYuKRaD328eHg620WOa780782Yl+6UQvNss3Ki9GrXRictOgR+H/01tzri+OK18uJ0axTyZp3YSSdi8SbIpSmuKEM1TaUiaJkVRXW6oru6RqAlQXa5I1aW4IbUcVZcbqsuNJHXxsTu3kKZjbzomB9BmJy2BXD2B79ZGzsZcs4nnGg0sX7SRM9Zxh8kdFfP9XLOJqVoNM40Gri6XA8u5Cxlu4WaeRpvp5Wlbjnmeh69//et45zvfiWaz2aIPiNdGjp8bt5HjgXQSNm8SbIrStBeRePcXWNoWK72gutyQqEuiJkB1uSJVl+KG1HJUXW6oLjfS0GUbu5sYx/M8TE5OolgsolKptMUF3E5aArkK4Lu1kbP9T/ejU+Lnms0gOKffU6u5OBfMkwq3cCsWi23WOfRzXCs28uNQm4Y9e/a0pc+nuccRQNssgriNHH1SHJeNHBBtZZf23b40bTxKpZLIp+9qseKG6nJDoi6JmgDV5YpUXYobUstRdbmhutxIQxcfu9OxP31wacbedExOraylTKXPVQAPdGcjZyPMOo4er5t9LmRsFm5p2pxR0rRy48e2pZ0GEjpUCRqyRmoeqC43VFf3SNQEqC5XpOpS3JBajqrLDdXlRha6XKyrpeVbrt6Bn/V9HPa8lhXl6TYlfqhtQho2ZzwNbrOWhJVb1LHMOSZlYUfhln1J3+VL0h6vG6RZcgDnLQWl6TJkYS3YCUn5ZfoKSTaF3CpTUn4ZJGoCVJcrUnUp0XRjmZsVEuxtOyEpvziaX92Ttq5u4gpaftLyLVcBvFktftb3A3s3E8xPkXcnZhqN0GnvdJsJ+m03BJRWywWb/ULc76vwNKjNGn/3JE7LibBjmXMMs5SL8/ypnUXa79nEbY/XDVKtTLh1iCSysBbshKRytNlbZl2OXJOk/DJI1ASoLlek6lI608kyNyvSGPf1i+R6r/nVPVno6hRX0PKTmG+5CuCBBfu48tAQzjWb2Ds2hplGo8Wr3SxEt7tSwUSlgsOeh4lKBVO1Gr5y113Btr1jY5iq1azHUBaoVqsol8vBwnHlcjl4Rz6J95d5esB5mzXf94Mn1GH7xpkuPUe+PYnzN+dXKpXazjUpTFrUHi+uPO0GU58kMTo6KnKBvaTaXBxIKkfTX/C6nSV0Jdu021i3SCpDiupyQ6ouJRp+zS+XyyKe9NH+Sq9Bbmh+uZO2LttYOyrOkZZvuQvgKdwezvCU5wVP2Z9anBox6/sYfPWrg21zzSa2V6uhx1DsdmnNZjMxmzObxYMZ6HKrt7is3MKORc+Rb0/i/KmdRZStXdwkYY/ngoRBCoVbh0gha2vBTkgoR25DKcGmkGvKoo11i4QytKG63JCqSwknyjI3S2h/pdcgNzS/eiNNXWFj7ag4R1K+5S6An1h8sm5Wjjf2cIZZ38faxUGbeVK/qljEQKHQso3Cj6EsMDIyAmChI6IWD9PT06hWq7EPjml6nue1NCo+tZzuG2e6AAI7CXOOfHtS508t+9KYRm+zxwPSmbon1coki1cYuiGpOtcvUstR6qApzTbWLVLLUHW5IVWX0hl63anX6203/rKC9ld6DXJD88uNLHTRdsfto3n5Scy3XK1Cv51NhywPDbXZyG1bfLJhvls7ORlsM0/lue0cP4ayALdc4BYPcU9PpekZSwe6QiS1dIjTys12LG4nYSPO84+y7EsKbuUWZ552QqqVic1SUBISpoRTpJUjXUlWysCJakqzjXWLtDI0qC43pOpSOmO7/ksoR1t/pdcgNzS/uiMLXdxGjttHm324PgmL4wI5C+Bt8KnvUZZvYdt0+nx3ZGEjl0X6cXncu5KVZV9WSD1HqbqkovmVf6SWoepyQ6oupTNL7fofJ5pfbkjNLwk2clEapOVb7qbQK4qiKIqiKIqiKMpSJFcBPPeB7+T93q03/FyzicNsSsRMo4HDZDE812PS/S5Ej3oJfo1Adh6bSZ9/Vn6TS90HHlBdrqguNyTqkqgJUF2uSNWluCG1HFWXG6rLDWm6bG5QWcUcNnIVwNt84IHzPu70O1sAza3izO/2jo1hObUQq9eDgP6uxUU8bH7zFJOG+X+qVmsL3KP86fOEWcghzYWYbAuLZeWxmbQfZFZ+k+oDr7pcUV1uSNQlUROgulyRqktxQ2o5qi43VJcb0nSZ9+FpjJFVzBFG7t6BN6vPH/a8IJheVSxiptHAuWYTs74Pr15vCZTNO+5m+6piEROVCtaWSvDqdZxjgaFXr6O6uHjH1eVyy77Awo2A7dVqy/+rikU812i0vE//lOcFQfyqYhGXFIvYXangVrKwXl5JexEHc9fLvINiPBqzWEzCLGqRZNrlcjmTlbTTTDerc+yE6nJDdbkhUZdETYDqckWqLsUNqeWoutxQXW5I0uX7PprNZrAYbpYxRxi5egJvY22phOcWg/flhQJWFYuBx7th8/AwNg8PB9sNZuX55YVCi70c3cc8iaer1JvF8Gjgb46/bXQUc4vWdZuZnzT1p88zvu+nvrIm92vM0mMzLS/nrKYSpf1qhERUlxuqyw2JuiRqAlSXK1J1KW5ILUfV5YbqckOKrkKhgGq1GsQYWcYcYeTuCbyZBn91uYyZRgMzjQauLpeDJ938XXZgYTq7CbYPe17wFN88fV/OVqcvDw3hrpGRtmn1Zt+5ZhNTtVowrd6GmQlgfmM86C+E9+ELhULqXtm1Wg2lUilIc3p6GkA2021GRkZQLBYxNjaWyI2MrPwm00xXoqcmoLpcUV1uSNQlUROgulyRqktxQ2o5qi43VJcbEnXROCfLmCOMXAXwNh94AC0+7nPNZhCgm/3NtHmz3WwL839fWyph1eJvzdN2vu+s7wdP2E06/H+ui2rOM8YPMU2v7DB/7iw8NpP2cs7KpzPNdNWL1A3V5Ybq6h6JmgDV5YpUXYobUstRdbmhutyQpisq5pAyjT5XAXwYdMq7zes9bHuU/zs/Dt+3G+/4TrryTJZ+jUuBrM41zXSllqfqckN1uSFRl0RNgOpyRaouxQ2p5ai63FBdbkjTJU0PJ1fvwBsbucOLi8OFTUe/0C3c4qTZbAb/bDZt1NbBfG40GtZ9e0mbHodbSPB0bNv7sXSwnVu3202e9Zqe7Tt6PnHZadh0mmPz/I+rXKM00PPqJQ/TQJqViUF1tafF/6b9QVq6bPWY96u0zifRxvpFWt2Kux+ME6llCMjML6UzvJ/od2wTJ2HXb0moLjeWmi5bHeZtzuxn+nbbdmn5lqsAnlu4mb/pu+g8eKe/uVBs3OKi2Wxiy5YtaDQa1nfazbseY2NjVouHfm3kaJpRFhI0fZOmzeLBBZqezRaPpse303zrJT3bd/R84rLps+mk5xW2jkGc9oBUAz3fXvIwDbKwSOwGXv+lkKX1IP+fttW0ytFWj+l3tVoNhUIh0JH22iHdING+p1aridNlkFiGgLxyVLqH9hP9jm3ixHb9XsrXIBdUlxtJ6Qobg/JrM9Dat/PtEvMtVwE8sLCS+1OeF0xPn6hUAl/4vWNjmKrVMFWrYaJSwVOLT+uB8wvZ7RaU+RIYXnyP3/d9613fcrkcVOhyuYxisYhSqRTLSvQ8TXN8A0+HajG/LRH3ABeq1SrK5TIKi6822J6m0PT49mHmMOCaHv+On09cT3dsOs158fyPq1zDNPA8cM3DtJD4ZA1orY+S4O02KXj9oX8bixdKWuVoq8fmu9HR0ZbgPqyfzRJb35QVvBzTqlsuSCxDg8T8UjpD+4l+xzZxQ/u3pX4NckV1uZGULl6Hi8Vi27UZaO3b+XZJ10lD7gL47dVq6GJ2Nvs4s6AdcOHYuMVFoVBoCaaoTRsADA0Ntd1tpQF0vxcYW5r84mDS4Vq4xYMr1ArOFrTS9Ph2mm+9pGf7jp5PXEG0TSc9L1v+x1GuYRr4+UrqCA1ZWCR2g60tSiKtqeq0DdG/ucVLWuVoq8f0O9/3WwYPtjaXNWnZYnaDzapHWsAgsQwp0vJL6QztJ/od28QJ7cv0GtQbqsuNuHXZrtHmARa/+U77dr5d0nXSkLsA3oaxa6MMFAqYqtWCJ/DGxk2xU6vVgukjnufB933U6/Wg8lOLh7guLDRNbiHheR4efPDB4G+qhX7Xa2MfGRkBsDBg5LZ4nufhnnvuaTn3fqdN0vRM/tLv6PkkZdPHz4vmPxBfuYbBz1ciWVgkdoOt/ksgTesX3oZuvPHG4O/p6WlUq9Xg5lNW5WjatoG3Mf63BCS1S1qOEm2FAJllCMi0YVK6g9cpifVLr0FuqC430tBF0+BtzvM8jI+PB9/x7ZKuk4ZcrULPn7zb7Nr498bqbdviXZMLwcYtTsqLMxTK5XJgmeB5HorFYnAnykxpoZ/jeErLbRq4hcSmTZuwadOmln3N9jCLh27hVnD8WHv27Gk7d7q9TGZ2uKZn8jdKQ1w2fVxn1HmVSqVEpu3ROhalTQJZWCR2A6//UkjT+oW3oYceeqhtH/PUPc1y5PW4WCwG+UH7VaNPWv1K2hazF0w5SqzzEssQkGfDpHSPbSwkpX7xMaK0+iW13qsuN5LUFVaHw8b9tnbIxx8SWDY/Pz+fpQDP8/Cpu+/Gr6xfn6WMXPLY/fdj6/vel7UMHDx4ENdff33WMgBkq+Wv//qv8au/+qu5Pb6EdO+//368T0Cd5kiq4xSJuo4fP44TJ07g2muvzVpKGxLzC5Cp6/HHH8dll12GNWvWZC2lhRdffBF/93d/l0lfGMVf//Vf45d+6Zdw6aWXZi2lhUe/+Qh+7ddk5RUAeI88hvI7r8taRhvfeOAhbN3677OW0YbEPgKQq0vHEm5kNb6MQupY4vjx4wCAffv2ZapDxBP4X1m/vu3pehgzjQbONZtYVSx25cVOmfV9599I5mSj0fd7nmZ6CH1nk94Bo9vDPh8/frxnHfQ4jUYDhUKhJX3zndluplYaOzug9QmYixZuScePZRZUootkGR10YT/D+Pg4duzY4ZoF1lkONL1+j0+h2kulUtt5J5WuDVtajRjqdC/QemjT1U8dj0sX0N4+s9JF4fllbFiS0MX7C1ufFFWXk8gvXka8f+A6bP2chHLkdatSqaBcLmc6U8ZWhp7n4ciRI4n0Sf3oGh8fx4YNG8Tl182fuAm33XpTZprCOHnyh7jjU/IWFf7usZnM+3pJ1yCKVF28DwayG0tQpOZXmuM8F5IeS9jihqixPd1Gf2t+lzW5egfeq9dbVpU3C9JRGzmbpRz3glc7uQW4BRK1YeLbwz7Hlb7NOoVbq8Vpx9SthV6lUgm1j4jjXRhuUxenjVyndPl5p2mhJsmSI8xmJGs6tU8JpJlfYf0Ora9pW75E9YVJ2F8mxVKvWy6oLiVupF6DKFJt5KRa0kovx6Woi495o8b2vL5LXJcidwH8ttFRrCoW8ZbFuyd7x8Yw02hgolKxWspNVCqYaTTw/quuCizm1E7uPGaVRZsNE90e9TmO9G3WKfS7JOyYoiz0qGUEt4+Iy26N5jnP/6Tu7lHttvNO866iJCsTm82IBDq1TwmkmV+0nGhd5m0yTcsX3hcmaX+ZBFq33FFdStxIvQZRpNrISbWklVyOS1GXbcxL0+zm2i3JfSRXATyd/j7TaOC5xSfpl5Dp9DZLufLQkNrJWaAritrse+j2sM9xpW+zTuHWanHaMXWy0KOWETb7iDjs1mie089JW2AZ7fy8s7BQkzAYCLMZyZpO7VMSaeSXrZxoO6Sf07J8CesLk7K/TAKtW72hupS4kHoNoki1kZO4Mj5FWjkalqKusLiBphl27ZZoHyriHfhu2Tw8jLtGRrB8sbGaoH2u2cRzjQaWFwqBpdxy0qDNU/i1pVJgJ8en1S91pqenASxMJTGrpKd9h45bOpw5c6bF0qFUKrXYMdG/+4Efy/M87Nq1C1deeWUw5bVYLGJsbCzWwTfNcxM4VyqVRC2wqHZ+3mlaby1lK5NeoHVFElnll+d5ePnll4O/eZscGRlpabNZ6arX6ygWi7HZXyaB1i03VJeSJFLL0daXKeFILcelrMs25jVpdrp2xxlzxEWuAvhVxSI+Wq0Gi9gBC5Zx1EaOW8oNFAqB//v2ajV48q52cgvwBXeq1WoQwPPtYZ/jSJ/bLQHRlg5xWPlEpW2zqDLEbbdGAwxqn5SEjQzVzvMwTestaVYmUq1ybO1TEmmXI114htpM8jaZpjUaL6Mk7S+TZKnXrW5RXUoSSL0GGaRamQKyLWml5ddS1hU25jULR3d77ZawgB2Qsyn0wEJAzleSp3/zbTcwH/iBQgEDegcxkqw6Q9pwjQb6HW/YcTZ0W9pZklbnmmSeuqYtBam6pJJFfkloozZsurJsY3lHal6pLiVJpJajVF1SkZpfS1lX2PU4j9fu3AXwM40GDnte11PgBwoFXF0ua9AeM57npTKVpNlstkxtp2mmqcHYWdj+jjOdsHNNA3NeaaWbxTl2g+pyQ6ou2p4kITG/JGoCVJcrUnUpbkgtR9XlhupyQ4IuM25oNBpt43xpY4pcBfBhNnIUahEXZiOn9EcWFk08zTStMPg7q0m8wyrBRoZb9SXJUrYy6QXV5YZaC3WPRE2A6nJFqi7FDanlqLrcUF1uSNBlGzeY8bDEMUXuAnhuIzexWNgTlUqLRdxEpYKnPA93jYzAq9exV+DqmXkmLRuKKGuVtDRw+4ik7CTMuaZpgUXhVn1Js1StTHpFdbmh1kLdI1EToLpckapLcUNqOaouN1SXGxJ0mXGDzS5a2pgiVwG8zUbOTI0/t/hElFrEbR4exvJCAdtGR9U2LgGSnkrSjbVKGtNZuH1EEnYS9FzTssDicKu+NJA0HYmiutyQpkuthdyRqAlQXa5I1aW4IbUcVZcbqsuNLHXxcQO1ppU4pshVAG9s5Mz0+VXFIuaaTUzVaphpNAKLOCVZsrCh4GmmqaFWq7VMm+d/x83IyAgApO65mvR5UZaylUkvqK4LA4n5JVEToLpckapLcUNqOaouN1SXG9J0SZoqH8YFYyO3eXjYahG3fXH6w3ZhFjl5Jk0bijBrlTQ1cOuJpKyg6LlmQZoWV0vZyqQXVJc7Eleql5hfEjUBqssVqboUN6SWo+pyQ3W5IUUXHTdwu2hqYyuBXAXwgN0GzgTzutJ8emTRyCRZnmXdySSF2sipLlek6pKKxPySqAlQXa5I1aW4IbUcVZcbqssNqbqkkqsp9HQ1edeV5Wd9X1ej74DNIoHbOpj3viXYPWSpIem0szo3tZFTXa6oLjck6pKoCZBn2wOkb7fpglRdihtSy1F1uaG63EhbV1TMY7OLlpZvuQrgp8j7EeYztY3jRG1TWrFZJHBbh7GxMdRqteA9lbTf0aZkaTmRdNpZnVua6UqwDLGhutxQXW5I1CVREyDTtgdI127TBanlqLghtRxVlxuqy420dXWKefh6UBLzLVcBPLBgFzdRqeDc4uJ11DbusOcFdnJfueuuYBuwEPBPCVogQSJ8BXJqZ+Z5Xsv7IBLeAcnSciLptLM6tzTTlWAZYkN1uaG63JCoS6ImQJ5tD5C+3aYLUstRcUNqOaouN1SXG2nriop5uF10VvbOUeQugN9erWJ7tYrli5lIbeOeWgwqZ30fg69+dcs2JZowyzZjZzY2NgbP84IKXRWyKGCW01mSTjurc0t7CpNEVJcbqssNibqkaZJo2wNkY7fpgrRyVHpDajmqLjdUlxtp6eoU83C76KzsnaPIXQBPobZx5aGhYHX6gUJBLeX6wPM8+L7fYmc2PT2NarWKUqmEQqGQmt1YGFlaTiSddlbnlma60ixDDKrLDdXlhkRdEjVJJk27TRe0HC8MpJaj6nJDdbmRtS7P83DjjTcCOP+6MO3ns7J3jiJXq9BTK7jt1WqbbdzayclgO9+mNnKdoRYJxWIR+/fvb9vHPHlPy24sjCwtJ5JOO6tzSzNdKZYhHNXlhupyQ6IuiZoMEq0A07TbdEFyOSrdI7UcVZcbqsuNLHTx68tDDz3U8jft52k8JOEVYiBnATwnyjZOLeV6p5tBk4TGn6WGpNPO6tzURk51uaK63JCoS6ImyUjNL6m6FDeklqPqckN1uZGlLlvcIzWfDLmeQq8oiqIoiqIoiqIoS4VcBfCzvt+yKB33dVef9/5w8YHnn+NI2+axSFeB5Nvj8mS0+T3y49PPjUbDun+vadvSSNJvMizNpNPlSPPUNEjVBcTb5uIiy/wyafM2KcGr2/f9tr4lrK/JGkl+62n1g/0isS1KKkeld6SWo9T2qLq6R8K1MYw0dPG2xf8Ou/5IvHbnKoCfqtWCqfGzvt/mBT9Vq7UE8TNCrV4kEuWJaBZtMAs78M9xYPPWHRsbg+/7qNVqbR6MXFs/2BYkoumE+T/2mzbNc3o+SfpN0jRpWdL00likQ6KnJiBXFxB/m4uDLPPLlrapu1l7ddsWwQHsfU3WSPJb76bflYDEtiipHJXekVqOUtuj6nIj62tjGGnkF29b/O+ocbjEa3euAnjDRKWCpzwPhz2vxQseWAja7xoZwUSlglnfx4SwxiMZmzVOuVwO7jwZH3juCR8HNm9d48No0uIekUZbv3C/R6DV85H7P5ZKpdis9Gie0/NJ0g+TpsnvJsaVp92gXqTdk0Sbi4us8ou2S94ms/TqpmXF+xZbXyMBKbZoUf2uFCS3RSnlqPSHxHKU2h4BmddsQKauLK+NnUgjv3jb4n+bMTCv7xKv3bkM4AFg8/Awrl5cdID6vZeHhgKP+LKwVWIlY/NEHBoaann6bnzg6ee4sHnrmkEcTccEl1Rbv3C/R5OO8Xy0+T/6vt/3II7mue18kgikaZr8JkScedot0u5oGqTpSqLNxUkW+cXbJW2TWXp107LifYutr8kaSX7rnfpdCUhti5LKUekdqeUotT0apF2zDdJ0ZXlt7IYk84u3Lf43HQPz+i7x2p3LAH6gUMBUrYbDnhfp9+7V6zgnrPHkAeMDX6/XgwpOfeDp57jg0009z8OZM2eC77hHJNWWRNrUD5L7PyYxcKPnk5YfZqFQaDnvOPO0m7SlTUEF5OpKos3FQZb5Rdslb5NZenXTsuI6pHqIS4GWqUTfXUBuW1SUJJHaHqVes6XqknoNyjq/PM/DPffcE4yBeX2XmG+5spEzXu7bRkcx6/vYPDzc5vdO95v1fX0K7wD3gTd3m+iUFvrENo4p5PRY3Ft3z549Ld9RLTZtcabN/SAppVIptsGbyfNyudxyPkn6YfI0zXnHmaedUC/S3oizzcVBlvlFfVkBtLRJCV7dpqxsbUyah7gUv3VeppKR1hYBOeWo9IfEcpTaNqVes6XqknoNSiu/eNuicY+JOWwaaL5JWcguVwE8ZdViBkf5va8S1nDyAq3gWfmCGw30O64lTm22tNMm6lzTSDPNdNNOywWpuqQiNb+k6MqyjSmKolzoSO1TVZcbEnzgozRIy7dcTaE3NnKzvh+sNh9lHae2cp0Js2EyJG1zFmVTx7+LsnvoBXO8sHNPw0YujDgt8sKsAW12Imojp7pcUV1uSNQlUROgulyRqktxQ2o5qi43VJcbSelyiWP4WJ+vjSUp33IVwBsbualaLbCQM1CPeG4fp3ZydriNGP+ctM2ZzRKOvwNjvguze+hVg82qhZ57GjZyYcSVv1HWgJVKpc1OJE3bE6kWK6rLDdXlhkRdEjUBqssVqboUN6SWo+pyQ3W5kZQuWxxDx/V0HE9jImpjzY8jhVwF8DamarXAVm53pdJiH2e2zTQabQG/soB5ihxmjZakzRm1abBZ8/DvqJY4LE3M8WznnpaNXBhx2WmEWQMWi8U2O5G0bWIkWqwAqssV1eWGRF0SNQGqyxWpuhQ3pJaj6nJDdbmRlC4zDuZjXJttsomJuI01PY4Uch/AGzYPD1vt49aWSniu0dDV6C3wIJRboyVtc0ZtGmzWPPQ7vjp6v5Ym/Hj83NOwketEv/kbtaJ8s9lssxPJwiZG0nQkiupyQ3W5IVGXRE2A6nJFqi7FDanlqLrcUF1uxK2LjoPpGNcW09CYiNtYS7R3vGACeAq1j5tpNAK/eKUVaiNGA2djI0dJwuaM2jRwax7P8zA5ORlq1xOnpQmfEpOFjRwlKTsNz/MwPz8fHJvbYqRpE5O1ZUgYqssN1eWGRF0SNQGqyxWpuhQ3pJaj6nJDdbmRhi46xuW2yWZ8zK2Vpd7oAHK2Cr2xh9tOnhrbPnP7OLWTs2NsG4ydBA2UzTSWJG3ObLYkdEYAtYyjWsJ+6wo9Hr9JkJaNnI047TT4ivrmvR5ajqb807SJkWqxorrcUF1uSNQlUROgulyRqktxQ2o5qi43VJcbSeqicQyFp2fGx9S6mtrtUcs5CSybn5+fz1KA53m46fbb8cpXvSpLGbnk+0eOoLRhQ9Yy8MILL+Dyyy/PWgaAbLWcOnUKF198cW6PLyHdI0eOYIOAOs2RVMcpEnWdPn0ap0+fxute97qspbQhMb8Ambp+8IMfYOXKlVi5cmXWUlo4d+4cXnrppUz6wihOnTqFiy66CMuXL89aSgvf/973sObyS7OW0caLL57EpZeuzlpGG9/97rPYsCHZ1+N6QWIfAcjVpWMJN7IaX0YhdSxx+vRpvOY1r8HBgwcz1SHiCXzp2mtbnqSHMev7WF4oWL3fjWXcUvJ+37FxI6anp/s6hlkorlAoBFNF6HsedCE5uqCDmUZeLpexdetW7Nu3r6/0+TEBtEztp4tN0CkvRrvBRQv9ve1YYdsbjUbLYn6G8fFx7NixIzQ9W/7S7+hUHZPXdN9Ox++WqPO25UNc6UbpMGyMoU73S7/1KglMW5CmC2jPL2OxmOQij2F0akNp5ZdZt6NYLHbVxrIsR97PGiqVCsrlcttTi6Tppl8+cuRIIn1SLxoN4+Pj2LBhQ+r51UnXzZ+4CbfdelNmmsL40Ic/ii/fsztrGW28d8u21K9BvH+3jRWy6iOk9KlR2PJLxxLR8KfPSY3zXEhqLBFWh3l6tB3yfek2YyWdNbl6B97YyAGttnGzvt+2yvxMo9GynVrMzQl+pyFNqGVClOWYsXIzlmNxvRdCLR1sx6TfhdnI9fq+diebuLht5Gz5S7+jn7m9W5zQMufnZbMVTIqlZmXSL0nWiX6QlF9ptaFOUPsZnj/99ltJIOk9P25zCcjKK0BWnadI1aV0hvZXkuyqpPSpUUjKL4rk9mizbM6aNGzkaB22pUe38/ousf7nKoA3cNu4pzwPhz0vCOKnajWcazZbtu9etJUz3ysL0LtIYZZjzWazxXLM2Cvwhe5coZYOtmPy77g+mwVEL2mbY9G7kUnYyNnyl35nPnN7t7ihZc7PO827ihKtTNK20uuWpOtEP0gqx7TaUBTUfsZWn/rpt5Igrv48Dnh+SXjKYUNSnadI1aVEw/srSXZVEvrUTkjKL4PUsYTNslkKSdvI8TrM06Pb+b4S638uA3ig1TZu8/Bw20rzT3le8KSd7ku/X+pwywTe0VCbBWo5Njw8jGq12veAj1o62I5Jv+P6bBYQvaZNv7Ntj8NGzpa/9Dv6mdu7xYntxoM576S97W1ICmSAbKz0uiHJOhEHEsoxrTbUjQ5jP8PrU7/9VhLE1Z/HAc2vLPojFyTUeRtSdSnh0P5Kkl2VlD41Ckn5RZE6lrBZNksiSRs5Wx2m6dHtfF+J9T+3AbxhoFDAVK2Gw+RO/azvY60luAr7fqlCbeQoxkaO2ixQyzFuP9Yr1NKBH9PzPIyPj4emwy0g+kmb21ckbSNns+mjxJW/NmiZ8/MOqw9JINXKJE0rPReSrBP9ILUcs84vkzavT/32W0mQdV5ReL8sRRdFap2XqkvpjKQ2GEYeNEpC6liCWzZLIY3+i9Zh27ifxhy8vkus/yIWsesWbiNHbeM2kzsj2xbveFHruO3VavDkXS3lFuA2ctQioVgsBk9lbJZj3F6hF7htGT/mnj17rPoAtGmLI216rCRs5Hj+0u/oZ2PZ12/+2uBlTs+bb0sSqVYmaVrpuWDqexpl44K0ckyjDXUiqqz67beSQFLd6nRNkIC0Om+QqkvpDG+DWS6EyJHQp3ZCUn4ZpI4lDNJmN6VlIxc2/gXaYw76mbZRKa925SqAD4OvPG9bpT7q+6WMrbHQzpBuD/uchBajISqdODXY0k6Kbo6f5CAsqhzTHPzpQNMNqfmlutzSlphfEjUBqssVqbqUzuSh7PKgUckvadSvsPGvLebIcnzcDbmaQk9Xk1fix/O8NrsFY+NAtzebzZbv09JEF1ri2uKATmvn52jLm7jfGTVpJHFuLiT1LqzJUwnnGAUvaymYticNqfklQZetnkssRwl5FYaEd/M5UvNLqi7FDanlqLrcUF1upKGLXn/pmBQIj3kokq5HuQrgqY3cTMR7yGoV506UZQ+1nIjTRq4T1OaBWjNxbXHAbTXoOXLrpzAt/WCztMjKAiup95BsNhzS3g+Tav2iVjluSNNl6rnEcpSWV5SlZHfUL1J1KW5ILUfV5YbqciMNXfz6G2YNR23m+HhV0vUoVwG8YaJSwazvY2LRJu6w52Fi0SbuK3fdpVZxPcKfhnK7NLM9Ldshm82cefe8Vys3GzZbDX6O1PqJa4kDeq5xnpsLSduLUBuOrM6xG6RaMUlbAdUgNb8k6LLVc4nlKCGvOFLtjqTaQwEyy1FxR2o5qi43VJcbaeii119uDcev13TcL/F6lMsAHmhdiO6pxcBy1vcx+OpXq1VcD4QFU8YujW5Py3aI2nBQayaurV9sthr0HLn1k01Lv3DLkbjOzYWk7UVsthzSOkSDtOll0lYu50jLL4MEXbSeSy5HCXlFkWp3JNUeyiCtHJXekFqOqssN1eVGkrr49ddmDWeu13zcL/F6lNtF7Lx6HeeaTdwwPIwDtRpeXyrhXLMZWMXNCnpPIQ9Qyx6zSjptSHR7rVZDqVRKvAMYGRlBsVhssWCi76rExfT0NIDzU3c8z8PXv/51vPOd70Sz2US9XkexWGxp+HG/RkDPNatVXnk+xA2tN5I6QYpaMbkhNb+k6JJazylS8oqTdH/UK7SvljSDSGo5Km5ILUfV5YbqciMLXXRM6nkeXn755WAbH/dLvB7lKoCn9nGzvh88hV87ORnso1ZxvUEtxKjNmXlyZLMfSzrQjLIU6tXKLQo6GLPZSZg8ScJ2iZ9rlk+mkxqU8nyT+PRdshWTRKscqfklRZetn5JWjlLyKgxJQTIg1x5Kejkq3SG1HFWXG6rLjbR02eyoTdyzadMmbNq0qWUb11OtVsUsvpyrAJ7CreMMahXXOzZvctt2/jkt0kozj3YSeSEP+ZYHjZKQml9SdUlE8+rCQMvxwkBqOaouN1SXG1nGFba4R2o+GXL1DjydFh+1Cr0SH9RGgVsqxP0OvM1yKSr9OBfS69ZCL2z/XuAWFtzeIolXFHiaadjjdaNDEhJtvjS/wjH1Nau6zKEWlLZyk1iOEjUBqssVqboUN7Lqu2zQ/l1q/VJdbixlXXy8EmYVZxufS8u3XAXwU4vvR0yQdxCoZRz3iTdBPreV0+C/O6h1nM1KLan3VUwa1FaC29zFaeXWyUKP21vEZXdBLSyovUWSVlM0zTTs8brRIQmJNl+A5lcYph9Ksn9wha6PwctNooWPRE2A6nJFqi7FjSz7Lg7t36XWL9XlxlLWZbORA+xWcfzaLXEMlqsAHgDuGhnBqmIRa0slTNVqgWXcRKWCpzwvsI+bqFQw02jg9ve/v8VWznw/JaBzzAP0abixVEjKTsFmuURtJaiWuK3cOlnoUR1x2QhxCwu6GmZSVlM8zaTt8brVIQmJNl+aX+3wfijJ/sEFakFpKzdpFj5SbdGk6gLklaFBqi6le7Lsu2zQ/l1q/VJdbixlXXy8wmf80nW/6LVb4hgsdwH8DcPDeI48UaeWcZuHh7F88WK/tlTCc40G/unll1v2Md+fEzQNQio0gKWWCknaKdisxZrNZltgH6eVWycLParD/B+HjRC1sKD2FklaTdE007DH60aHJKTafGl+tUP7oST7B1eoBWVYuUmahifVFk2qLoOkMqRI1aV0R5Z9l00L79+l1i/V5cZS1GWzkaPjBj6m4LbH0sZguQvg15ZKuGF4GHvHxgLLOBszjQauLpcx96Mftexjvlc6Q63j6vV6UPmnp6dRrVZjv0NML1ie52F+fj6Y4kK1GOKycuPH9jwPDz74YMt2Op1tZGQEgH3KvQu1Wi12OzqXNGmZGtLSk8W55xnNr3ZoP5Rk/+AKLStebhItfOLqz+JGqi6JZQjI1aW4I7Gvl1q/VJcbqqs1TWqfPTk5GYwp+LVb4hhs2fz8/HyWAjzPw32eF1jEuWCeqoetPD/r+8ETebrPrO+HrmKfJ3Zs3IhHFr0Jk4LaKIRZPGzduhX79u2LNV3P81AulyPTt+npVQs9lkk7bHsY4+Pj2LFjR8/pdqKX43dKs5s8jSvdKB2GjRs3Bn6bkkiijrsSZ31PErOAW9r2X0n2D/1okaTLhUqlgnK5LM72zvM8HDlyJJE+qVvC+skNGzZkml82XTd/4ibcdutNGSkK50Mf/ii+fM/urGW08d4t2/DII49mqkFqH5EnXRLGEnnKr6TGeS5wXWmMJUya3Yz76b5ZjHE4ubWRAzpbxoUF6RdC8J4WWVnHpW3lRo+Vpp1E1nZ8WdrjSXwHSzKaX9FIsnqU0saUZJBahlJ1KW5ILUfV5YbqckO6jZy0fMvdFHpFURRFURRFURRFWYrkKoCPyweeHmcpQr0Mud8o9x7lnolhnsu90slj1Gyn3srme+4Z30/aQPu5h/ne2/zqe8WkYTufpHxgo8o8TZ/LrP3Dw5Dk9UnzSPPLngdhfVJa+WVLl/vHci/ZOPqOOJFU5ymqyw2puhQ3JPnAU6TWL9XlxlLTRY8bNeYO29cgbQyWqwA+zAfeQH3gJ0K8BGd9f0lbyFGvRe43yr3duWei2R6XX2Mnj1G6Pe4FqsLOzWDzleYLbPS7uBI9Z34+tvTiIKrMbZ6YSZG1f3gYpkwkLJxF80h6fqXhKWvLA94nmXJLK79s50/9YrkOaYvgAEvbF7gXVJeSJJJ84Clpjg9ckFrvVZcbSemix6XjBNu1mNbxrMYULuQqgAdafeD3jo1hptHAhMUH/lyziT/83d8FcD6YN/t87+hRePV68Fu6z4UO9dalfqNh3u7GNoFvj8uv0Rw/zPPXbKfeyra/+0k77NzNnTm+3eZX3wu2svB9P1RPHHQq8zSfDEqz5DCUy2UxQRbNI8n5lda7YTQPbH0SLbc08svWb3G/WG5FI+3pmlS/ddXljlR/Z6V7pPnAU6TNHDJIrfeqy40kdPH+2owTwq7FtI5nMaZwIXcBPPWBn2s2cUmxGCxKR33glxcK+DeXXw4ALZ7vm4eH8Svr18Or14MbAVO12pJZ2I5661K/UZu3O7UYs23vN8ihx7d5/tLt1FvZ9nc/advOjQboYdv7vcDSc6bnY0svLqLKPI6bEi46JA6Ah4aGxDxhoHkkNb8Madzw4HlA6y8vt7Tyy9ZvUb9YrqPffisJpPqtq67ekHLzUekNST7wlDTHB70gtd6rLjfi1kX7azpOsF2LaR3PakzhQu4CeOoDDyxYyT0X0tH9308/jalarWWa/VSthmN/9Ve4dXISuysVlIeGcKBWw2Zhd1aSgnvrmmkk1FPZ87y2ASb3XI57ehfXxTUk6cnIfe2NB70tbwDEdmGl50zPh6cXN2Hp2Ly0lxr1el1kRy2VrDxluWdrVuVm67fGx8dD25FEL1mpfuuqyw2p/s6KO9L6CEDu+EBqvVddbiSli/bXdJzAr8V83J+HsWCubOSMV/zaUglrF4OOWd9HeWiobZ/t1Srmmk2cazaD4Hx7tYpZ3w/+vnVyEjONBm5YIsE7AOzfv7/lb9/3MUTyr1qtwvO8UGsFc3fKxb88CnP8MAsHqoNqNXfOqPZe0zbQu8vmPTSeN8DCFPo4gutuyiJubPlm0hkdHe07T12Q5i8NnM8fKdPLaB5JzC9TZ9LKL5MHtI8K65PSyC/ehgFgz549Le2I6oij34ob2zlIQHW5kXZbVJJBYh8BpD8+6Bap9V51uZGULts426TB6zMf94eNKaS8SpKrAN5G1NT3gUKhzSvetn9ZWIeUJrbG0s3AN+nGn6Uno82DPg3SSi8qHWmdehZoHriRRX510z9kQTd9hwSdyoWJ1q0LA6nlqLrcUF1upKGLpmELzsO2SyRXU+i7tX/j+0X9bm2p1BbkL1VsFgk2K7U4rZCirNy4XRvX0q/lhEnbZgvHraD4Yhdx2V3Q45pjxmlTZ0svLE/5OSeNRCsTaTZfaiPXfdo2HWm9a26zirPpSruNdYNETQbV5YZUXYobkvp6qkVq/ZKUXxTNLzeSzi/buJ6O9+jftrGgtPLMVQDP7d86ecHz7TOLi98BrZZzfNtSxGaRwG0U+LvacacZZp1GLR3M//1amoRZUhmoFRS3dYnLToUe12ZfluQ7ljabDHrOSSPVykTSO35qIxeNzQqRt5803vXjZUPbka3fSquNdYtETYDcPkJ1KUkiqa/vZPUrAUn5RdH8ciON/Aq71tn+5mNBieWZqwCeMlGpYNb3Aws58x2wEOhPVCqYaTQwVasF/841m9htsZyj25YyNosEY6NALZvitEKKsnLjdm3cYqLfp6QmbZstHLWCstm6xPGElh/X5HVcNnU2bHlqOiluf5U0Eq1MpNl8SbeRy9pSi98dp5/TtGGiZUPbEc+ftNtYN0jUZJDYRwCqS0kWSX091SK1fknKL4rmlxtJ5xe/1vHxMP2bjwWzHuvYyG0AD5x/d91Mgad2cWtLJTzXaLR895TnBU/ZqeUc37YUsa22SG0UqGVTXFZInazcgHa7NhNs9hvg8vPl6XArKGrrEldwTY/LLSvisKkLwxzblmbaHbuUp90GSTZfebCRy9JSi7ZD3iaTtGLk2PoS0454/mTRxjohURNFWh9hUF1KEkjq621apNUvSfllQ/PLjSTzy3ats439S6VS21hQon1o7haxmyBPyb16PQjQuV3cTKOBq8vl4P33Wd/H2lLJ+j581LaliFnhuV6vo1gsolAoYHp6GsDC9JFarYZSqRRrQ6PHNxpefvnlYDu3mIjT0oQP8j3Pw9e//nW8853vRLPZbEsrzrSpZYXJ6ySDDnpsmiaARMo1DKlWJmnmwYXAyMgIisUixsbGUvcIpu3Q9Fem3Hh/kha87+D5I7F+SdQEyO0jVJeyFNH65Ybmlxtp5Be/1tHxMI85+L70Wi7FEWjZ/Pz8fJYCPM/DfZ4X2L+5MOv7wary9LNtu3m6bluwLmqbZHZs3IhHFgeqceJ5XlBBw2wd6Pdbt27Fvn37EtNgSzNMWxxaTNrcbqJT2uPj49ixY4dTWlFpcHo5vkv6YRqSSDcsrY0bNwbBV1YkVa+SQKIus/BLGgG9S/sBks8vW9/BkVi/bJoqlQrK5XKmgxWbLs/zcOTIkUT6pG4J6yc3bNggLr9u/sRNuO3WmzJSFM6HPvxRfPme3VnLaOO9W7bhkUcezVpGG1n3EYDMvisMHUu4kdQ4zwWeX0mMJcKuzd3EHEnq6gURAfxNt9+OV77qVVnKyCXfP3IEpQ0bspaBF154AZdffnnWMgBkq+XUqVO4+OKLc3t8CekeOXIEGwTUaY6kOk6RqOv06dM4ffo0Xve612UtpQ2J+QXI1PWDH/wAK1euxMqVK7OW0sK5c+fw0ksvZdIXRnHq1ClcdNFFWL58edZSWvj+976HNZdfmrWMNl588SQuvXR11jLa+O53n8WGDemtn9EtEvsIQK4uHUu4kdX4MgqpY4nTp0/jNa95DQ4ePJipDhFT6EvXXtvVE/hZ38fyRW/3uWYT55rNlqfutqfwFzI7UrjDaBaDKhQKoZ/jvqNI73rRdDptA/q7u0mPbezcbOdrVgUHWv2oe7mDSaet0gXtzNSefo8flaaxBKTp0NcE4k6XYys/CXfN465XcZEXXVndnebtMsv8ou2o0WigUCigWCwG/YrRmLauMGx5JeEJPM07Q9ZP4KP6/6yfwNvKUZ/Au/HeLdsyvwYB7U//su4j+JhIii5AxxKu2HRJeAKf9ljClg9hcQ7t981+WZOrReymajXsXVx0y6vXA1s5bgFHLeI6Wc0p4VDbBGo5ZrM8iwtq/cRtG+i2uKzcbOma4xu7ibC0+k2b2nnQ9JK0Mouyz0vTXkSiJQegulyRqMtm35YmtB1xC0pJNoUGiWUIoC3vpKG2e0pSpGWB6YLaTbqhutxIW5ctjgmLeSiS6n+uAniKWXCOWsAZ+zhjEbd3bAwzjUbLwndK93DbBGo5Rj/Hhc36ydhK2LbFdQfMdmxuN0HTitPmzayIabOtS2ol9Cj7vLRWo5ZoyWGQav2iuqLpZDuZJqYdcatIaTaFBillSLHZd0ogSZvPfpFYjoobaVtgdovaTbqjutxIWxePY6JiHon9fu4C+LWlEqZqNawlHRy3gDMWcXPNJi4pFpfUtPo4obYJ1HKM24/FRZj1U7PZbNsWZ0OypUvtJmxpxWHzRu08aHpJWplF2eelaS8i0ZKDIu0pqUF1RRNmO5km3P6PWlBKsinkSClDA887SSRp89kv0spRcSNNC0wX1G6yN1SXG2npssUxYTGPQVq/L+IdeBfKQ0N49xVX4IHnn8dMo9HRAm6u2cRzwjrCvEBtEwAElmPcfiwuqPWT53mYn58PppFxW6g4rdxsFnbUCopbVCVxYaWWFWnZOmU5QMjSfiwKqdYvqqsztD5L0kX7DomWbZLyiiPxlQNpgZVBcjkq3ZOVBWYnJPZdgNx6r7rcSFsXj2M8z8OuXbtw5ZVXtsU8gMx+P1cBvFno7oHnnw/+Nk/ey0ND1n1nfb9tm9Id+/fvb/nb1bKpV6rVKjzPC96BpOmYYG90dBS+72MoxrKlgeSePXtajk8/l0ql2O7CmQWPjPWULb24oYss2V5ZSANet6Rg6pW06WWqqzO0XWatK6xdm6fvSbXtXsg6r8KQmFdAvP1/nEgtR6U3JN3YBuS2R6n1XnW5kbYuU59peg899FDLPnS7xH4/VwG8jU7e7Tp9Pj5oRU+6kZkBcFQ6SWmwpZ1Gp5J2eoodqXmvutyQoovrkKKLIlETIFeXVDS/lCSRWr9Ulxuqqz0928MrqflkyNU78HR1+blmM3TafNj33RzX5Riu6VxIeJ6X+VSqLDUknXZW55ZmuhLqkA3V5YbqckOiLomaANXlilRdihtSy1F1uaG63JCqyyBNX64C+G5s5GhQzb+n1nI0YJ+q1YIn+cZ2LuzY9PMUeV9jKdnVSbChyFJD0mlndW5ppiuhDtlQXW6oLjck6pKoCVBdrkjVpbghtRxVlxuqyw2pugwS9eV2Cj21kbukWMTuSgWrisUgwF5VLAbfLy8UsKpYxHONBl5fKgXf3zo52XLMicVj0CDedgzz+fCitRj93WbBq3TGSblcznxRhyw1JJ12VueWZroS6pAN1eWG6nJDoi6JmgDV5YpUXYobUstRdbmhutyQqssgTV+unsAD0TZyc81msHgd/R44by3Hv+fHfq7RwDmyLewYm4eHcfXiOxO23y0FJEwlyVJD0mlndW5ppiuhDtlQXW6oLjck6pKoCVBdrkjVpbghtRxVlxuqyw2pugyS9OUugC8PDWHv2FiwsryxkeO4fg8sTIO/mixkELbvQKGAqVoteALPf3ehI8GGIksNSaed1bmlma6EOmRDdbmhutyQqEuiJkB1uSJVl+KG1HJUXW6oLjek6jJI1JerKfTd2sj18r35n9rORe076/vBdHn+uwsdCTYUWWpIOu2szi3NdCXUIRuqyw3V5YZEXRI1AarLFam6FDeklqPqckN1uSFVl4Hq8xYf3mZNrgJ4G2E2cq7fG6jtXNS+3J5uqdnVSWhkWWpIOu2szi3NdCXUIRuqyw3V5YZEXRI1AarLFam6FDeklqPqckN1uSFVl0GavlxNoe/WRo7/pttjL3WazWbL+x3NZhOe5wV3m+j2uO0UTFr8mPQ7vj1ODfxYXA/PmyTsJOgxG40G/AzqpNrIydQV1j4kIEVXo9Fo6a+k2EzSvkNqOUrSxPvaLPrBKKSWIdCed0o+kVqOWY1LOiE1v6T2E0tZVzfXY1PHaX2X2O/nKoB3tZEzv7HtQxex45ZwS5Fms4ktW7a0rLBYr9dbKrrZnoSdQq1WQ6FQwNhi+dLjVyqVtjTj1GDea6FpUz08b5I4f3OssbExjI2Nwff91N+3oRrSSkuSJQcgV5etfUhAYn6NjY2JsZnkfYfEcpRUhjy/xsbGxL13KLEMAfs1XMkfUssxq3FJJ6Tml6R+lbKUdXVzPTbXHF7fJfb7uQrgKdRG7lyzid2VCvaOjWGqVsPEYgUw/9N9JioVPOV52E32ecrzggXpljLDzALP9/2WO1Bme7VaRblcRqHD6wgujI6OtnXANB1bmuVyObYpLfydFq6H502cadNjNpvNIN9LIYstJonRkFZa0qYkATJ12dqHFKTkV6lUgu/7qFarifRR3cLTpn2HxHLMMq9smPzyPC+TPrATEsvQwK9TSj6RWI5Zjks6ITG/ADnXRs5S1hV1PabXHF7fJfb7uQvgu7GRM/vQ99LD7ODM30tpFXkbhUKhbQA3PDyMarUK3/dbtjebTVQqFYyOjsaWvu/7bZ0wTScszTiCTTPoD9Njy5u40jYMDQ0Fd/bMDYu0OwuqIS0kTUeiSNNlax+SkJJfvu+jVCol0kd1C02b9x0SyzHLvOLQ/BobG4PneeIGTRLLEAi/Tin5Qmo5ZjUu6YTU/DJIuTZylqKuTtdjes3h9V1iv5+7AL4bG7ny0BAO1GrBKvFR1nHcEk5ZuAtlpo7QafSGkZERAPFOteZpeZ6HG2+8MUiHpxmnpUOhUGhLe3x83HrucadtqNfrLZ1LWNpJwjUkiURLDkCurrC2mDWS8osOLJPoo7olKm2J5ZhlXkUxPT2NarUq7omfxDJUlDTQet89kq6NFNV1HtqXe56HycnJlmsOre8S+/1crULfrY3cTKOBG4jFW5Qd3LbR0RZLuKVMeXEWgud5KBaLwdP3ocV8M9vLCcxW4GkBwEMPPRS6f5yWE+ZYNO09e/ZYzz3utA3m/M0xuZ404BqSRKpliFRdtvYhAUn5VSqVggvv/v37M9PB06Z9h8RyzDKvbPDrC58dlTUSy9CQxLVZSR+J5aj13g1J10bKUtcVdj02cY/5Hmgdh/N9JZCrAN5GmNUbDdZdrOOU1gqela1YNx1ynNpsaUcdP4l8ocdUG7nsUF1uSNUlFc2v/KNlqCxFtN67ITW/VFd7mraYg+uRlm+5D+BthE2XVxRFURRFURRFUZS8kqt34Hvxge90PGUB7vluiPJCj9sP1OYxGuYDH6cnYycPetv2OH1HzTlHed7HidHOfbPD6kBSSPPUNEjVpV63bkjUlXYb6xaJeQVonXdFan4p3WEbC2RN1DhIAlL7VEBWOVKWsi6bDzytO51iDkn1LFcBfDc+8DNkISP+mXvFT9VqoUG87Tjcno7vl2dsizNE+RnH7c9r8xil6XOv9jg9GaM86M150u1x+o6a40d53seJTbs5rzQX6FjKXqS9oF63bkjVJW0RHEBuXmmdd0NqfindYRsLZA0fg0nzwQZk9qmA3H5iKevifSSvOzTO4DGHxHqW2yn0NAi/pFjE7koFywsFrCoWMdNoYNb3g88A2vYxzDQa2Ds2huWFArZXq0Fwbn57rtnE8kIBXr2Oc4tP/c3/xqpuptHI/SJ45s4vfcfDLORg7jhxf94470T5vo9ms9m24nC5XA4aG01vdHQ0thsIYccql8uo1+uoVqtt2+Owk+D5aM7V2DkldafPaC+VSqjVai0LdgDpvedDy1YSUnVJszAxSMwv3ndJIe021i0SyxDQOu+K1PxSoqFjAUl9F9US55grTqT2qYDcfmIp66J9pK3u8Kfxtn2l1LVcPYEHon3g15ZKeG4x6Kaf6T7Agu+7CbjLQ0NYXigEC93x3841m7ikWMSqYjEI/s3/PI08Qz3fDWF+xkn480Z5jDabzTav9jg9GW3Hop7ofHtcVmu2fDTTe5LyZbb5YJqbJrY6kDTS7mgapOlSr1s3JHmbU7JoY90irQy1zrshPb+UcOhYQFLfRbVI9MEGZPepgLx+wrAUdfE+ktcdGmfwmENiPctdAB/lAz/TaODqxZUE6WfuA0+n4hvmmk1M1WqYaTRafmu2PbcYZBm/+MOe17ZfnuF+iL7vh/oDJ+XPy73Y5+fngzu+3Ks9Tk9Gmwf9PffcEzT2pPwfaT5SD8y0fJn5zZI0fS7Vi/TCQGp+SfU2l+glK7UMpaL5pcQNHQtI6ruoFol9FyCzTwXk9hOq6zw87pmfnw/+TjLmiItcTaHvxgd+1vfbPtv2odPozXGpH7ztOMBCMH91uRz8T7flGZsfYpSfsflNEukbzHvxNm/0OD1JbccyPvBhvuxx+o7SO35pTM2h2ulNmDR9Xpe6F2kvqNdt90jzNjdI9FKWWoaA1nlXJOaX0j1xjqnigPej0vouQGafCsjtJ5a6rigfeBNzmLqkPvAJwz3eaWBuPkft0+m3/LM5lvn/QvKQj/JDTDN9qiHKGz1NH/g0OjsJHar6wMvVJRXNLzck5pdETZLR/FKWIlLrvepyQ3W1p5l2zBEHuZpCb7OR46vI07/VJq4z1FKB27hxmzFqqWCzfOsn/TCLEpNO2PZ+NITZqfG0Abu9Rb/nz8+J27UkdZcvyhamXxsPm41RFufYD5KtmCS9f2WQaEkjoX6F9R0S80uSpk79blZwLdoWlSSRWL+kXhul6pLYHqXaAQLJl2Mn2zj6ty0ukJZvuQrgw2zkgGhrOP43t5SbE1QgaUItFWw2bgZuqRC1b6/p2yxKaDph23vVEGWnxtO22VvEYaNHz4nmb5Lv2UTZwnDbDFdseRpmjyftXSKDZCumuK0b40CqJU3W9cuUFW9T1J5SCpLK0NbvSsgrnkfaFpUkkVi/pF4bpeqS2h6l2gGmUY58XMDLKGysD/Q/Pk6CXAXwFBqwT1QqeMrzWnzh7xoZCbbNNBp4/1VXBfufazaxu1IJfrdbWANLE7OqqO/7aDQaLe9El0qllpUYzZ0o2779pj86OtrWcGk6fLuxXYkjbX6ePG1gYXqNmT4TR9pA+znz/E3iDny1WkW5XEahULDmeb9PLG2r1Jq8o2kneY79InGl3bjqXBLQtiGFLOsXLyvepsrlsqibV7RdZo2t35WQVzSPtC0qSSK5fkm8NgIydUnqVym2cZ8Uki5H27iA9pm0zGxxgbQZo7kL4G02coDdGs5QHhpqWS2eW8otF9bA0oJaKoTZuBmbMVqRoyzfek3fZlFC0+Hb+7Wyi7JT42kbzEAyLhs9ek40f5O0q4iyheGdlStRNkbcHk+iJQcg14opCevGOJEQZFGyrF+0rHibovaUUpBkW0X7XUl5RfNI26KSJFLrl9Rro1RdkvpVilQ7wDTKMWxcYPpMXmY0Luh3fJwEuVvErjw0hHdfcQUeeP55zJAOzjxZt2GewgPnLeX0/fh2qJ1CsVhsGQhQSwVurxAHtVoNpVKp5V3pM2fOBOnw7dPT0wDimZ5kewpN0y4Wiy3T2eJKm55TsVgMPdc4GRkZQbFYDAbGNJ04y9XUIW6PF5a2Ek2c9T1OpFrSJNmGOkHLireper0etAsp0HYpYYBi8ktSXtE80raoJInU+qW4Ia1fNWR5bcwafu60z/Q8D7t27cKVV16JsbGxNleDJOKefslVAG+zkTOEWcPtHRtreVq/bfHOCrV+2y6ocaWNWXmxXC632cgB523GzBNbm71C3OkbjJVbVJr9dIxhdmphafOpif12ytz+JIn85UTZwvAy7gWTp6YORVmDSLR+AWRbMUkaCAByLWkkWAtRe0huRSMpvyRZ7tn6RAl5ZcsjbYtKkkirX4Dca6NEXZL6VYqEa2MYSZcjP3faZ3qeh4ceeqhlfxoX0PGxlKn0y+bn5+ezFOB5Hm66/Xa88lWvSuT4P/3nf8ZL587houXL8Yqf+7lE0siK7x85gtKGDVnLwAsvvIDLL788axkAstVy6tQpXHzxxbk9voR0jxw5gg0C6jRHUh2nSNR1+vRpnD59Gq973euyltKGxPwCZOr6wQ9+gJUrV2LlypVZS2nh3LlzeOmllzLpC6M4deoULrroIixfvjxrKS18/3vfw5rLL81aRhsvvngSl166OmsZbXz3u89iwwZ576BL7CMAubp0LOFGVuPLKKSOJU6fPo3XvOY1OHjwYKY6RDyBL117bVdPwWd9H8sLBQwUCphrNoMp8xeSF7sLOzZuDKZb9QqdSmIWT6FTFumCKmZxIb7v1q1bsW/fvr500LRM+sbKwbyDb7SahY2oHoOLFnruQPvTHrO927THx8exY8cO5/OmdwDNMRuNBgqFQoueXo9PodoBtJ2HrQ7Eka4NW1obY6jT/cLrBeBWr5LCll8SdRnrlTSeIIW1UQDWNpRGfpk2ZrTw+iSxHG2aKpUKyuVypk+3wq5JR44cSaRPioKWo62PGB8fx4YNG8Tl182fuAm33XpTZprC+NCHP4ov37M7axltvHfLtsyvQRL7CCC7PrUTUscSUssxzXGeC2mNJfhYn/5NNdDPdOxsLOayJleL2HWykQuzhqPvyts+Tyy+a0Tt5ZYC3MYNaLVI4JY5xnoiCXsf2zHDrOPCtrnALSu4bUuUzVycNhw2u6m4bPpscOs6eh5p2p5ItVhRSxo3stQV1UaTbEOdoO/JcY0Sy1GiJkCWbQ8tR+0jlCSRWo5Z9qlRSM0v1eVGWrr4WJ/+HWZ7DMi038tVAE+x2cjZrOH2jo1hptHAxOK2mUYj+M2s72OiUsG5ZhNfueuuwF5uKUFXo7TdUTJPkLj1RBL2PvyYNE2+En4cVhjm3MNsW8Js5uKy4Qizm4rTpo9DtdvOI00bIqmWRxJXaJVqSQNkW45hbTTJNtQJblVD65PUcpTaFiU85TDQcpTYRwByy1HpHql9RJZ9aiek1nuJuqTWrzR02cbcvD7bbI8BmfZ7uQvgo2zkjB0c/TzXbOKSYhGrikWsLZXwXKMRTL03C9ktLxQw+OpXt9jLLQW4jRufpkJtfKj1RBL2PrZj2mzOqKVDP4Moeu4225Yom7m4bDjC7Kbisumzwa3rbOeR5iqbklb0BNSSpleyKMeoNppkG+oEtarhGiWXo7S2KMm2h1uuSuwjDNLKUXFDah+RZZ/aDVLrvTRdUutXGrr4WD/MspHbHgMy7fdyF8CXh4awd2ysZRX5Tsw1m3iu0cBMo9HiB+/V60Ew/+1vfrPtpsBSglokeJ4H3/dRr9eDwUqtVmux94l7EMOP6XkexsfHgzR5A6N6+mV6ehrVajUY/JvzNySVNk3XZjeVRMdPtfPzSNOGSC2P3BgZGQEgYzoxRUo52gaVWVm+RPUPEstRShlyJNr2SEZqOSpuSOwjDBLbo9R6L1WX1PqVhi4+1qd/e56H+fn5FttjqifOmCMuRCxi1y1RNnL8b/N5e7WKWd8PAv7Qzy+8gOWDg043Bi4EomzkuOVRkvY+NnslbuVGp7rEYYXBFxuiT3uKxWKLlrjTtqWbho1clHVdmjZEki2P1JKme7IuxzAryCytcnjaVKPEcsy6DMOIw9YyTmg5SuwjpJaj4obEPgKQaz8mtd5L1SW1fqWpi8/sqlar8DwvWOfBVma0/kt5tStXAXyv0FXqQz8LtHVIG1Np6eCEVuSwz3GnTzVEpZNUx9jN4Czp80+y049KJ82LjbQLm9IbUssxS11S8yQMqXql6pKK5peSJFLrl+pS+iXLmKNXcjWFnq4uP9dsYtb3g8XswvbvZVs325cKdDEm814IsDDNPImpJPS4xqrB3O2i28xU/37uhJnzMcfi5xN1vnRbP/DzNQvF9HtuYfB8s+VpWlOE0kyrE1SL6nIjTV283Zm/bW0mrjbqqgk4nydhbdkXdn1JK69c0TrvhlRdiht03CUJibrSHre4oLrcSENXVIwRNT42SKr/uQrgo2zkwqziOm2jgboG7a1Q25BOlnNxEGZPR20ezLZ+30Xh58PtIeh2risuGyFqU2GzaEniXSCab1naZCRhRdgrNB8kWVdFWZpIIU1dvN1F2cilZfVlS8dWh/hnSe9Gqi2aG6pLSRKpdm1SdUm09wLktselrCssDVtcYdtX2rU7t1PoqY0csDAdfqbRwKzvt3zuZttzjQaWFwrB51snJzFVq7W9Y7/U8H0fzWYzeLe0k+VcHJTLZdTrdQAL77TWarVg5VOaprkL1s+UFnM+o6Oj1kZJz5fq4tt6xbyHYxbNM3lNzztuaL7R9IHwfEgKnqdZwfNByvtNXFe5XBYXZAHp6uLtjtrI8TaT1oqxtnRMmXFdxrZGSh0zSFtd16B13g2pupTu4eMuKUjVlfa4pVv49VsSUvuJpHXxMuHXZx5XUD0Sr925egIP2G3kqD0ct4qL2raqWAws5+hnZQFqG9LJci4OwqzkuMcz0GrV1Av8fPgAlm7nuuJagZ/aVHCLFmqJFSc037K0yUjCirBXaD5Isq6y2apInPYGpKOLt7tONnJpWH3Z0uF1iOoKs63JErVF6w3VpSSBVLs2qbok2nsBcu3aDFL7iSR12cqEXp9tcYXRI/HanbsA3mYjR+3huFVc1LZZ34e3+ASQflbOY5uqnpS9D7WS8zwPDz74YGiacVo68GNxG7kkbPOAdpuKMMu8OKHnmqVNRlJ52gs0HyRZV3FdEp8yZKWrk9VjVhgrmrC2zG1slHC0zrshVZfijpRrEEeiLon2XoBcuzap/UQauniZ0Oszt67meiReu3M1hT7KRi7MHi5q20SlgqvLZZSHhlo+82MvVcLskKjlXBLpFYtFeJ6HTZs2YdOmTQDaLYXitJGznQ+1kTPbbavk9wO3zQizzIuTqHxL0ybGZhuYFVHlkCU2XRLyi5K2VY5pd8bqMszqke6bliaDeVc0qi1LmeVhUFu07lFdSpJItWtTXW5ItWuT2k+koYuXiXll1cCtq216jOWcBHL3BD6MMHu4qG2bh4cxsPgEkH5WzhPWmJJqZDYru7A049TQKThPo7NLq0OVYpMh7QJiUF1uZKFLYsAJdGdFo3SP1HxUXUqSSC1H1XVhIDW/stRlu3ZLzSdDrgJ4Vxs5F3jQv9QIs2WLsrGKw06B25iFWblxq5A4bOQ6WXSZ72xp9WJ3EWU3ZTtmHPnbKU1uC7NUbeRoPkmy1KJaJFr4ADJs5GxWQlnZyFFrmrB+SlI5SrNhkmqdKLWP4EiqW0p30DYotT3GMeZKCr02do+0+kVJWhevw1Fj+yzHFN2SqwC+Fxs5bhtnUMu4VmzvEFE7JG6NFIedArVpsFkZRVm99fvOUyeLLnq+PK1e7C5s5xelIY787ZQmt4VJ015EkpUJzSdJllpUi1QLHyk2crx/yNJGzmDrO8z3kspRkg0T7f8kWU1K7SM40uqW0h20DUpsj5VKReR75oBceztJYxyKpPpFSSO/eB2OGttnNaZwIVfvwFO6tZFbWyoFi9Ntr1YxUalgoFAInuTru+4LhNmy8TtT5v847BS4pYNtJdEwq7d+beRo2mF2H+Zvnlav9iC28zM2Fc1mM/gcp11FVJo2W5g07UUkWZnQfJK0oq3RItXCB5BhI2ezEsrKRo5a0xibRNN3SLSikWbDZOwlC4WCGKtJQG4fYZBYt5TuoG1QUnvkVreAvGnFem10Q1L94iSdX7wO2+q00ZDlmKJbcvUEHnC3kTOL0pn32881m5hrNjVwZ9jsE6gdEv0cl50Ct1HjK5JHWb31ayNH0w6zljDny9PqxR4kasV1PkUnrvztlGaYLUyad9kl3NGn+SRlZXygXZdECx9D1jZyvH/I0kbO6CmVSm19h0QrGkk2TNReUpLVpNQ+giKxbindQdugpPZIxzr9jrmSQq+NbkiqXzaSzC9eh8PqdLPZzGxM4ULunsCXh4bw7iuuwAPPPx9Mjzf2cLO+3/IZWJhqb4L5qVqtzUpOWaBWq6FUKgXvfRSLxRZLrWKxGHyenp4G0P9Ul5GRERSLRYyNjbWtymw02PTZ/u4nbbPSpNHBraB4WlG6u4Hmr7nDRz/Hlb+2dOfn51vuKtIpRGnai0i1MpGMxCmMWdrIRfUPWeF5Hl5++eXgb64rqbbdD1LyDlio4/TaYz4rnZFYt5TuoG1QUnukYx0AYnRx9NrYPZLqFyWN/IqKI/j4WGo+UZbNz8/PZynA8zzc53l9PxE3U+e7/XwhsGPjRjyyeNGOA2rhZlZkpDYKYRYPW7duxb59+2LTAaBFA9cX9ndcWkza3Zw7ZXx8HDt27Oj6+Py4ndLo9vid0o1K06ah33TDsKW1cePGYCAqiSTquCtJ1fd+4brMojBJWqV10z/YSDq/pOrqhE1jpVJBuVxOfcX/Tn2i53k4cuRIIn1SP4yPj2PDhg3iHBJu/sRNuO3Wm7KW0caHPvxRfPme3VnLaOO9W7bhkUceTT3dTvU+6z4CyJcuCWOJPOVXUuM8F9IYS4SNeV3G/WmMcbohd1Powwiziouyl1NasVm4ZWWpkLaNnC3tpM49q/zt5rzURk4uUvNLio2chPyRqqsTkjTmycZHUeIiD/VedbmhutzIwq6Zxz15aIeGCyaAVxRFURRFURRFUZQLmVwF8DYfeCVZwjxAk/Jr5MeN8kaPS0OYv6k5b+rrHHfalLT8j6mXJfeET9rnNSxtSUjz+qRIW0AIyM6Dl/u0SvJsjdIlsd5LqvPqt947EuuW4o7UclRdbqguN9LQxa8ptjTpgtX0WpT0+NiVXAXwYT7w1OvdBPkTZCGXmUYjCPzpTQD6vdJOmBd6Un6N/LhR3vN8Wz/YFkCxeT6atJI4f5v/cRKLEdHzCvNZTmrlZ1va0hZckuj1aZDo8ZylBy/1aeV1OctypH1Tpz5NApLqvPqt947UPlVxQ2o5qi43VJcbaeji1xRbmqZv5/tKXCgxVwE8xTx9n6hUMOv7mKhUMFGp4CnPw+5KBecWn9BP1Wo412xiN9tOv1fCoV7o5klbtVpFuVyOfXVg23G597xNW7/Qc6MYC4lSqdRiKwcsvC8T9/sx5XI56CCSOL6BWmPQNG3nmXTaEt8xkmixYqv/EjBtJwtto6OjLcEdrctAtuVo+qaoPk0Skup8XvzWJSK1T1XckFiOSY374kBifgGqy5U0dPFrCk2T9+1037A4IUtyF8DbfOCN1zsAbB4exvJCAcsLhWDRuqc8L3jSbrbz75V2wrzQe/FB7wZ+3Cjv+TgDTZsXJPd8NL7OXG9c2DyPk7jbR8/LlqbtPJNI2yDtjqZEr09Arsdzlh681KeV1+Usy5H2TVF9mhQk1Xn1W+8faX2q0hvSyjGpcV9cSMsvg+pyI0ldYdcUkybt2/m+YZ7xWZK7AL48NIS9Y2MtQTv1eqcc9jzM+n5LsG8I+145D/WBr9VqweeRkREA8U8DpcflXuzT09OoVqtBcEm19Qs9N2DhLhxtpHygloRfZb1eDzqMtPxDaZpA+3kmiVSPVKnw+i+JrKaW0XbL63KW0L6J95Vx9ltKNkhti9qnXhhILcekxn39IjW/VJcbWeiiaXqeh8nJydC+nccJEvjZrAW4YLziH3j++Za/Z32/JaA33881m3j9YkHw7ebJO/1eaWV0dBS+72NoMY/o5yTYv39/8NnzvOD9WpqmeXrFtfWDuatGj1UsFlum8tAGbdKOc6qP0eDiO98rxi6De16WSqXEB6VhaUtCmo8zRdrTW1vbySptXp+yKseovinOfitOJNV5qkWSLo60tpjEdUlJH6nlSMdnkpCaX6rLjbR00WsKTdPzvCBt07fTfel4Q8prcLkK4MMI83cfiHgaE7VNOU/WPvBRacapx3Xgn0ReZJHXWXbi0i4gSm9IqUOS6lNa/ZaiULRuXRhoObohNb9UlxtZ6OI+8N3sK4VcTaGnK8hzCzlXSzm1oLPD3+9I20aOE2blxi2k+k2DH4unF2U1ERc8r9PMX64hDaRamUi1rpKaXxJ1SbJ8sfUtkt6jA2TW+TRsLXtFYp0H5OpS3JBajlJ1Sey/ALn5pbrC08uTBWyuAnhqI8ct5KZqtdCgntrF0f0painXbo1DLRboux9pWSFFWblRC6l+iTpWmK1b3DZCNI04zy2Kbiw1kkKqlYlU6yqp+SVVl5R31bi9XZa2e2FIrfMGae/cSq3zUnUpbkgtR6m6pPZfUvNLdS1gi2OoBn7tDrNdzpJcBfDAwtT3w4t35PeOjWGm0Qg835/yvODz3rExTNVqbTZyM41GELx79Xrw91K3lLNZ41DbEG6hkNZTkTArN24h1Q+2Y9H0uH1KEjZCNI04z60TUZYaSSPVykSidRUgN78k6pJk+ULt7bK03YtCYp1Pw9ayVyTWeUCuLsUNqeUoVZfE/guQm1+qawEex/CxPrem5X9nTe4C+G2jo/DqdQALi9RdUixi1eK/zaQRzzWbwWJ2xi5ubamE5xqNYMV6r163Ws0tRWzWONQ2hFoopDWoirJyoxZS/RJ2LJMet09JwkaIphHnuUXRyVIjDSR1hoBc6yqDtPwySNMlxfLFZm+Xle1eGJLrfJK2lv0irc4bpOpS3JBajtJ0Se6/AHn5ZVjqumxxDB2H82u3zXY5a3K5iN220VFMVCpYVSxirtnEc40GlhcKVjs5Yxc36/uYaTRwdbkcTK2/dXISuysVLC8Ugn2WKtPT0wAWpomY1RgrlQqKxWJQaU0wWywWU5+iyge8tVot0NMv/Fie5+Hll18Oto+MjAT5UK1WW/IqLmgaAGI7NxfStPGQamUiFan5JVVXnP1DP9TrdRSLxZYBppTp/dKRdJODIrXOS9WluCG1HKXqkorU/FJd59Pj9tG7du3ClVdeGYzD6bXbdi3PmlwF8OaJ+qpiEdVFSwtqIUc/m323LT41te0DLATxail3nmq1GgTw3DYkTUs5A10Zkj6JidO+ynasTZs2YdOmTQDC7VPinIUQlddJEmapkTRSrUwAmdZVUvNLqq4s7e1sOqg9jQRdHIl1Pg1by16QWuel6lLckFqOUnUBMvsvqfmlulrTo9fihx56qGUf27XbWM5JYNn8/Px8lgI8z8NNt9+OV77qVVnKyCXfP3IEpQ0bspaBF154AZdffnnWMgBkq+XUqVO4+OKLc3t8CekeOXIEGwTUaY6kOk6RqOv06dM4ffo0Xve612UtpQ2J+QXI1PWDH/wAK1euxMqVK7OW0sK5c+fw0ksvZdIXRnHq1ClcdNFFWL58edZSWvj+976HNZdfmrWMNl588SQuvXR11jLa+O53n8WGDfJuHEnsIwC5unQs4UZW48sopI4lTp8+jde85jU4ePBgpjpEPIEvXXtt8MQ8ilnfx/JCAQOFAmZ9P9T/Pey3LvvngR0bNwbTuePATCUxU0SMfRtw/g6n7/soFArBQkyFQgFbt27Fvn37YtHA78CZBeMKhULLZ77N0IsWc578WOb4vu8HeWPywZb2+Pg4duzY4Zw2gJbzA2DV08vxbYTlaaPRaDvPONON0mHYGHOd7oW46lXc5EWXsf5KY52MqP4BaO9P0sov2q4bjQYKhQKKxWJoX5N1OdryrlKpoFwuZ/p0i1+TgAWtR44cSaRP6paw/n/Dhg2Z5pdN182fuAm33XpTZprC+NCHP4ov37M7axltvHfLNr0GhZAnXTqWCCeu8WvcpDGW4NcUnqa5XvM4h+5rLE6zJleL2EXZyHGoLdys77fYxqllXDs2Kw7+rqaxTkvK5oxbs1GbB275EKelg+18wqzjwrb1As1zej5J2shxuzqTJiWNhTrUysQN1RWdtq0ux2312C20XXPbuLQsIl2QWrfUHsoNqboUN6SWo+pyQ3W5kYauTtbJ9HrNr9US8y1XATwQbiNn7OMmKpU267inPC/4jVrGhcNXPqdWTPTpcBI2Z2HWbPQuF7/jFZelg+18qJ0EtzPiVhP9QPPcnE+SNnI2SzxD2rZNamXihupqJaouJ2H16IJp19w2Lk2LSBek1i21h3JDqi7FDanlqLrcUF1upKEryjqZXq/5tTrOcX9c5C6AD7ORW1sqYapWw9rFgRK1hds8PIyrybS2pW4ZZ8NmxUGtmKh1WhI2ZzZrNhpM8sAyTksH2/lw6zhqZ8S39QrNc3o+SdrIcbs6HqynbdskdTVu1eVGFrqi6nISVo/dQts1t41LyyKyF6TVLbWH6g2puhQ3pJaj6nJDdbmRpK5O1sn0es2v1XGN++MkdwE8sBDEG8s3YyNXHhrC3rExlIeGAus4YOGJ/VStFjyBp9sUO57nBdNIzDT66elpVKtVlEqllu/jgh7faJifnw/S4ZYP9Xo9tgEePx/P83DjjTcCWAgEeBAwMjISbIsLej5J5K+Baud5mmawo1YmbqiudqLqMu9PsoTqSrJt94rUuiUVqfklVZfihtRyVF1uqC43stBF0/Q8D2fOnAmuz/xancS4v19ELGLXLZ1s5B54/nkAduu4zYt3Uvg25Tx0gbZisWi1PKJPxJOwQuJP0cKs67g9U79pdrKToIFAmK1cL5g8L5fLLeeTVP5G2dWladukViZuqK52urFeTOt1EA5v17zfkmQjJ7VuAWoP5YJUXYobUstRdbmhutxIS1eYdbLnedizZ09ozEHHGxIWsANyFsDbsK0sP8CeytJ9+DalHVrBwxpTWo2MpsPTjFMDPVZWg8aoc00jzbSRdgExqC43pOiSooOTZL8VFxI1SUZqfknVpbghtRxVlxuqy40sdJk0u4k5pJGrKfSzvt+ysny3v7F97iXtqL/zTrPZhOd5bVM7zbsgfLtt3zjwWb7ydMx2Y+MQ550wnnaz2WyZXm62m7yI+y6cOdekju+iIQ1o/koizTxwQXW5IUUX1RHWz2aNpLZI+1pJeUXzSFJ+UaTqUtyQVO8pqssNqbqk9hNp5Bc/d55m1DhcWnnmKoB3sZGjv+GfucUc/Z9/NsefqtWsQbv5rpMO6djsjcIsFZKyU4iykbNtp9viTjvKCiqJd1ipjUVW78imaZOhFlFuqC43pOjiOiTayElqi7SvjdMqtF9oHknKL4pUXYobUvoujupyQ6ouqf2EBBs5GnPwcbjE8szdFHpuI7e8UAhWpX9LuYynPA+rikW8pVwOps4bi7lzzSamajVcUixid6WC5YUCVhWLeK7RCPadazaD78x2E5zPNBrYOzaGWycnMVWrYaBQwFyziYFCIdCxPaN3LvtldHS0LTg2T95LpRKGhoZatpfL5Vg7AGP7xJ86m7/5drOYXhzvuIalTa2gTD6Yv4H4p9eUy2XU6/XEjt8Jk5dpPfmXuhp33HU7LlSXGxJ08TZl62clIKUt0r620WgEfaIEaB5JyS+OVF1K96R9He4WqboAGX29Dam6pPYTaeQXPXdbnTafbeNwaeWZqyfwQLiNHLBgDwcsPBWn771vr1axvVrF8sX337nF3PJCAdtGR4Pg3Xy3tlTCc40Gzi3uWx4aCo5h0t9erbbpyCM2e6MoSwUgXruHTjZyYdvjWHTNduwoKyhqrxcX1EYuieN3Q5o2GWoR1Ruqy42sddnsKKUNniS1RdrXxmkV2i/8eiAlvyhSdSluSLSrAuTqMmTd14chTZf0fiJNGznb9dnEHGHjcEnlmbsAHgi3kTu3GIBHLVTXyUZu1veDGwQzjUaLf3wURkdeoZYJxkYOgNVSIQm7h042cnx7nHfBbGnzRpu0FVRaNnJRSLTJSBu1WHFDdUXD25REGzlpmPyJ0ypUUfKC1OuwVF1S+nqOVF1SySK/aJ3mMQe/Vkssz1xNoe9kI7d2cjL0N+bzHHmazvfZXq1iolLB1eVyiwVd2L70O75f3qD2RmE2cvxzElO8o2zk6PYkLM9o2sVisWV1yqStoLgtXhZWU3Ha43WDWkR1j+pyQ4ou3qYk2sgBctqi7ZqTdRkaaB5JyS+OVF1K96R9He4Wqbqk9PUcqboAmf1EFjZy3BouyrqaW85JIFcBvA3XaeudbOQ2Dw+37NPt8fM8fd7A7RTod1Gfk8Bm6ZAWts4tDSuoPNlXXMhIzXvV5YbqyifaDyqK4oLUfkKqLqlkmV9pW1fHQa6m0PdiI0d/2w0XQiCeBknYKYRZLFHrODq1PW4N9Njcpi5KVz9wSwvf9xOxyOuWNG0ypFlyGFSXG6rLDYm6JGoCVJcrUnUpbkgtR9XlhupyI21dPD0eg3DrUGn5lqsAvhcbOfpbvr/NAi7vdnBpkJSdQpiVXa1Wa7Nyi1uDzaLOfG9LK2x/F7ilBT9m2u+apWmTIdGSA1BdrqguNyTqkqgJUF2uSNWluCG1HFWXG6rLjbR1cZtq852JQfj4XKIFbK4CeKDdRm6m0cBEpYKJSgWHPQ8TlUqoZzvdf+/YGKZqNUxUKphpNIKbA/R4wHkLOqWVcrkc+3SS0dHRlsXpjL0bcP7JtPm7Wq2iXC7HssARTcdQKpVaVqSk52vbv1fMitT0mDztNEmiXCWk5YLqckN1uSFRl0RNgOpyRaouxQ2p5ai63FBdbqSti89y5TEIdYzh2ySQuwDe1UZujkx3oPsbCzhqFUe3ry2VMFWr6ZT6COKeSsItlqi9G7dyi9PSxGYjZ/TQQN2cb9j+rtAVlvkx47LI64U0pwhJmo5EUV1uqC43JOqSqAlQXa5I1aW4IbUcVZcbqsuNtHTZHpLRGIQ7oEi0gM1dAA+42cjtHRvDXSMjgXUct3vjVnH0eAdqNWwWVmASSMpOgVvZTU5Otti7UUuHOC1NbDZyDz74YLCdny/fPw7oMbO6y5emTYZESw5AdbmiutyQqEuiJkB1uSJVl+KG1HJUXW6oLjfS1lUoFFpiCs/zMD4+HmrzKtECNler0PdiI7dt8QntQKGA8tCQ1RaOfmc+zzQauEGDdytJ2T3YrOzM90CrpUMSlib0btymTZuwadMmAOHnG8cUd77iPbXJS5s0bU+kWqyoLjdUlxsSdUnUBKguV6TqUtyQWo6qyw3V5Ubaukx61NJ1z549Ld/R8TmPTySQqwDeRqcp7tw2zrY//Y5+zrOve9Ik1chsVnZJp8nJMu2sSfM8peap6nJDdbkhUZdETYDqckWqLsUNqeWoutxQXW6krYum1411tbR8y30AnxRrM3r/WFEURVEURVEURVFs5Ood+F584Olv5prN0N+5+sovFajvYdjnuDDvvtPpKTwd6gkft1c693U3aYel1a8PPPWVtHlMxuEzbyPsvNL2n5fmqWmQqEuiB6mBeqWmnW5Yn5R2XeY0Go2g/fL8kViOWZWhTUdUnygF1aUkieRyTGpc0g9S80tKv8qRml9p6Iq6HvNxg80nXlK+5SqA78UHnv7Gq9e7+h0N5peyLzz1SaQejeZz3H6IfIEI7gtp816PSwM/tu0cbf70/UB9JbnHZBzHtxHmaU9Jw+dSvUjdkOhBCqDNKzVNaJ6E9UlZ5NfY2Bh830etVrN6yWalK4wsy5AT1SdKQWofIVWX4obkckxqXNIPUvNLUr9KkZpfaejiZRKWJo95bL+VQK4CeKA/H3jznc0P/g9+53cALPi+P+V5gUf8rO8vaS94cyeK+66Xy+VEbOTokyuaJvdej9MrPczX3ZwjTysuH3jqK0k/x+kzz6F5ys8rbf95iV6kvJ5LQaIHqSEraxWeJ7RPSrsuU0w/Ztowzx8pC+BQpNjjhPWJ0pDYdwFydSluSCzHJMcl/SIxvwA5/SpHan6loYuWCR/v0XGDbSworTxzF8C7+sADCDzdqZWc+d0Nw8PYOzaGX1m/Pth/8/BwYB+3lBeyowNg6rs+NDSUyFOR4eHhYKVHnqbNez0ur3Tbsfk50rTi8oGnvpL0c1zHt0Hz1KRL8zBt/3lJ05GA9vyRgkQPUqDdKzVNaJ7Y+qS067KhUCigWq2i0WhYvWSzuKkQRZZlyAnrEyUire8ySNWluCGtHJMcl8SBtPyS1K/akJZfhiR18TKxjffMuIFvk1ieuVzEbtvoKCYqFawqFgPf9huGh3GgVsPrSyWcYxWgPDSEd19xBR54/vlgSrz53azv40vT07jtP/yHYP+pWi04hlevtx1vqUB9EkdGRlAsFoNBcrFYjL0y12q1oOF4noddu3bhyiuvxNjYGKanpwGcn84S50WEH9vzPHz961/Hhg0bUCgU2tLi+/cKPV/6Oa7j26DlOMRuTqV5YZbqRUrzR1KgReuHsgDNk3q93tInZT3IDPOL5d6zSithfaIkpPZdUnUpbkgtxyTHJf0gNb+kIjW/stBFx3vlchkvv/yydZuksSAlVwF8Lz7w5jcPPP98y9/cD/6r/+2/BdvpE3y+31LC5pNoSMMH/qGHHrLuAyxMdYn76RptpMYP0pyjLa1+GzU9XwBteZ1Ep7F/sd0Y+GsJaT2xlOpFyvNHCryuSMJmu5gGtvZD22tW0z25Lpo/UX1qlmRVhpxOfaIEpPZdUnUpbkgvR2nBjOT8ktKvUqTmV1q6aJnQ8Z7nedi0aRM2bdrUto3/VsprcLmbQs/p5APfy+/CfOGXImGNKQsf+LToxg8yLmga0jrUpFlq59svml/tSG0/efKSlYbUMqWoLiVJtBzd0PxyQ2p+ZalL4s2WTuQqgO/VRs72OWyfpYzNwiHKpiluOxFb+iadbizmek3PZlfE00vKCormY9S5xgk/F1qOadqLLGUrE1fUUqs7aN1Ooo/qBZo/SbftXpFUhhTV5YZUXYodm3WshL4+TfvgXpHY11Ok9vUGafkFJF+/bG3LVnfM32ojFyO92Mh59ToOex4Oe16w+B39zazvB8daytjsFKg1E91ObZLiwmavRNPpZDHnCv29za6IphdmPdHvQn70/KLONU74uVBbmKTsAW0sZSuTXlBLrc7Qup1EH9ULPH8kvv8uqQwpqssNqboUO2E2uVn39TbLYP45ayT29RyJfb1hqdoB2uyaed0xeZMHG7lcvQMPtNvILS8UgsD8LeUynvI8rCoW8ZZyGauKxWDBO2Dh/faJSgVrSyV49ToGCoXgib5Xr2NVsRisVL/UoBZplHK5jHq9jkKhgHK53PKUOO53THnaNB3TaOgUG6OnF+j5jo6OtnVm5g5csVhEqVRqWw3Z5Es/0PMzd/rCzjVOzLkYWxia73GcV7f0U35JIlGXrY5KQVJ+0RXMk+ijXOH9Ku1XJCGpDCmqyw2pupR2aN9Ar8VZ9/VUF++/JNUvaX09R2pfbxv3SSHp+sXbFq87NG9sMZE0V5RcPYEHerORe0u5jLeQ9xvMonRzzWawqJ0J4JcqNjsFmzVTs9lssUmKC5u9Ek2HW8xRPb1Az9dmV0TT4/YRcdnocbupTucaB/RcuC1MUvaAUUi9Qy1Nl1pqdYbW7ST6qF7g/WqSbbtfJJShDdXlhlRdSithNrlZ9/VUl21cKKF+SezrOVL7+qVsB8jbFq87NG/yYCOXuwAeWAjizXvrxg6uPDSEc80mVhWLGOiQyTZruFsnJ7FbwNSgrBgZGQFwvgL7vh88eTf/6J2ruKcHcXslz/Nw5syZ4Ds+tbxfywl6vvzYnudhfHw89BxpvvQLTSPsXJNienoa1Wo1uPsY53l1Qq1M3EirTrgiNb8AGVMYaT8DyCxHqWWoutyQqkuxQ/sGei3Ouo+guuhnyfVLWp8KyOzrgfZxnxTSqF+2MjF/e56HycnJIG/4tVsiuZpC34uNHABcTZ6+G5s4ag1njntryO+XAtxOoVgsBncPzRQg/jlOex+bvZKxcrNZCvVrOcEtIjqlTVeo5PnSK1GWSUnaJ/HVNs3Mh7jOqxuWupWJK1Jt5KTll6nb5XJZRH7xfkZiOUorQ4PqckOqLsWOzabKXIuz7COirFQl1S9pfT1HYl9PWYp2gLxMuHW1STssb6TZyC2bn5+fz1KA53m46fbb8cpXvSpLGbnk+0eOoLRhQ9Yy8MILL+Dyyy/PWgaAbLWcOnUKF198cW6PLyHdI0eOYIOAOs2RVMcpEnWdPn0ap0+fxute97qspbQhMb8Ambp+8IMfYOXKlVi5cmXWUlo4d+4cXnrppUz6wihOnTqFiy66CMuXL89aSgvf/973sObyS7OW0caLL57EpZeuzlpGG9/97rPYsEHW00lAZh8ByNWlYwk3shpfRiF1LHH69Gm85jWvwcGDBzPVIeIJfOnaa4On4FHM+j6WFwoYKBTa3nO37WvbPtNo4FyzideXSh2n2ptjdEorK3Zs3Ijp6em+jmEWbSgUCi2fKeaumHlXu1gstuy7detW7Nu3ry8dAFqmx5u/G40GSqVSsNgE0HoXjOt10dLp3Kkeut28H0O1AMD4+Dh27NjhdL7m3ZtCodByTJrXvR4/jKjztuVDXOlG6TBsjKFO9wIta1vex1XHXTF5BCCoK7TOZaWLYqtDdBGYOOHlRP/mbZL3J0Ay+WWrx7wO8ScL/O8syzGsP6tUKiiXy5n649ry1vM8HDlyJJE+qR9d4+Pj2LBhg7j8uvkTN+G2W2/KTFMYH/rwR/Hle3ZnLaON927Zlsk1iNLv2CYpLZKujRRbX5/VWIKS1jXIlTTHeS6kNZag19+oMXDYeMPslzW5ege+k43crO8HK85P1Wpt/u7GUg4A7lp8v2Gm0WjzljfH5PZy1Iee/i6vdGMRYt4Rp3YLSdiN2SwabHYq5nOcNnK2Y1E9UXnTD7b3o8bGxhK1RYk67zRtYtSSpjM0jyS+SwekW45hNi62/iEtyxfb+fM6xC17JFr4APLe9ZPUR1BUl5IkksoxafvgOJBo7wXI1SWpflHS0hVlnUw1dDPeyJpcBfBAq43cRKUSBO17x8YwVavhXLPZEoibQB1YCOC3jY7i6nIZ1f37g/13k9/TYxrM9095HnZXKi2/yzPVahXlcjlYidF8NtCnf77vB0/DgYUnNXEHFHzl1dHR0aDxmKfw9E5cuVzu+X0Zfr62Y1E9dLtNSy+YPPV9v+WYPK/jJOq8bXUgSfopv7ihljRJ5b0rtDxoXZFGmuVI2yRtM7Y2mcZKzrY2Q+sQ7UMBtP0tgbj6sySQ1EdQVJeSFGlfh7vVIunayJHq0CJVl9R+ImldtusvjWV42wsbb0ghdwE8tZED2i3hlhcKwXT38tAQlpNOkE6DNzcBnvI8zDWbLZZy5ZBFJzYPDwfHM7/LM53sQqilArVbSMJuzLb6Obd8MIEuP4de6GSPYtNDt9u0uMJtRswxk7RFiTpv27akkfBUWaolDS0PqZY0hjTKMayPoDcZzee03BRsbYbWIW7ZI9XCJ47+LCkk9BE2VJeSBFlch7vRIunaSJFo7wXI1WWQ2k8kqauTdTKv71HjDQnkLoAHWm3kbJZwh0PeTSgPDeGukZHgafqs72OtpTBsx6SE/S5vhNmFGBs5m81Ys9lMxW6MW7nxi0acNnL8WOb8w9KK6wJGLS34MZOaMh113mnaZqglTWeirA6lkFU5ep6HBx98MPg7q0ElbzPc/pL3oRItfKQNyA1S+wjVpSSJJPsqrkXiNUhxQ2o/kYauKOtkz/Nw4403ArC3PYnXSRGL2HVLJxs5s89csxlYx9HF8daWSli1+PdAoRA8Qee/D7OZo8fnv8sjYXYh1E4BsFubJGH3wBf/4VZudNCbhI0cPVaxWAz+NjYldAp9HANwbmlhjpmk/UjUeUfZx8SNNMsjiZY0nawOJZB2OdIFLDdt2oRNmzYBsLfJNBYTs7UZ3m8B7bY0kqbhxdWfxY20PsKgupQkSfM63Ik8XIOAdPr6XpCoS2o/kaYum3Wy53l46KGHWvaj5SfxOpmrAN6GbXX4qNXl6baw/TqtON9p9fq8E9bp8AA3DQ1R6cSpgR7Ldv5JnW/YcdPqXLPsxKVdQAyqy40sdEkcGAHd9VtK90jNR9WlLEW0fl0YSC3HLHTRB3V5I1dT6Okq8HyFedu+tu8Oe17LyvVR+ysLGAs3Y+lgPicxlarZbAbHbTQaQZoA2tKMS4PtfHjaANreP477fWSzSBnN6ySxnWNS5WojzbRckKgryTbXL5J0pd2GwjD9GNdha3MSkFSGFNXlhlRdiht0HCQJqbqk1nvV5UbaumwLA1MNScUccZGrAL5fGznzG7qfsYPjlnHmuHQ1+gvBOs4V2/u3Nnu3OIiybUjS8izqfMx3SVtBUYuWtN8z4xYaabx7t9StTFxJqs31i6T8yrINUWg/FqZDUjlKKkOK6nJDqi7FDan2Y1J1Sa33qsuNtHXZbBGpBmoDC6DtbwnkKoAH+rORA4Cry2WUh4ZwbjFop3ZwXr2OmUaj5bjmeBeKdZwLNhs53/db7N3iJsy2wWatEpflhO18aNppWEFRi5a0LMPCrPnSCnyWqpVJLyTZ5vpFSn5l0YbC4LaERodEKxpAThlyVJcbUnUpbki1H5OqS2q9V11upKnLZovI4ww+U07azLncBfD92MjZoHZwXr3e8lsALce7EKzjXKCWC9TGitu7xUWUbUOYtUocwWbY+Zi007CCohYtaVqGUVuMJOwBOyFpOhJFmq6k2lxcSMivrNqQTQf1keU6pFnRGCSUoQ3V5YZUXUp3SLUfk6rLILXeqy430tJls0WkcQa/0S7xxnsuF7HbNjqKiUoFq4rFwPKNBuphNnLA+SnxV5fLmGk0sLZUCp7Y3zo5id2VCpYXCi3HPUws55bSu/LT09MAzk8nMYE0/ZwUnufh5ZdfDv4eGRlBsVjE2NgYqtVqrJYT/Hx42jQfbH/HhZlum0b+Au22GPV6HcViMZWL9FK2MumFtOqEK9LyK+021AmuQ+IsCmllaFBdbkjVpShJIrXeqy43stBFX3HzPA+7du3ClVdeGdgs0+38bwnkKoDv10ZuO7t7Yvahv791crLtuHPNJl6/+MQk79ZxvRBmI5eEnUiYTRS3M4nTcsJm20bTpvtF/R2nhjTsWrgtBrXUSBq1MnEjSWvBfpCUX1m0oTDCbAklWtFIKkOK6nJDqi7FHakrYkvUJbXeqy430tZlG1NxGzm63egbGhoSM5U+VwG8DVcbuW73o8e90G3juiULG7ko0rSRS4M087cbDRdSWi6oLjck6ZLQhjhSdEQhVaPqckOqLkVJEqn1XnW5kbYuV/toafmWu3fgFUVRFEVRFEVRFGUpkrsA3ni52/zgl9L76UnAPQ6p9zT3oY7DD9HmbR3myRi3ZzlP2+ZvGra9Vy9nnkZUnsbpcW87jslnfo5L1Qe+Uz3MCl7vpOiipOkNzNOS4Nnq0q7T1OWKxLolNa9UlxI3ncYjWZHEuCRuJOUXRaqupVyOtjiH/k3HWVHbJJCrAN6r1+HV61heKGB3pRL4t/PAfUbgQkHSsXmAU+9p/pnv2wvc25p7q9vSicuTkaZt8zelx4/yp++WsDSMBpr/cflhRumu1WpWn8u0vMYleZFyLbweZgUtP5tnqQTS9AbmadFy42WYlmdrp3bNddj6WQlIqfMUSX0ERXUpcUPLTpLfelQfKwVJ+UWRqmsplyO/HvM06TgrapsUchXAT9Vq2DY6irWlEspDQ8Fq88bvfapWa/FwV9zgHuDUe5r7UMexiAM9Zpi3uknH5p/cjwZ+PjaLLnr8MH96F3gaXIPJf5vnfa/wNG2e9mF6kkaKFynN77B6mBXcT1ySNkOa9nY0LVputjaT1kIzndo118H72ayRVucpUvoIjupS4oT3X1IsQzv1sVKQkl8cqbqk9hNp5Be/HtM0+TgrapsEchXAryUZN9dsBovLcb/3pbhSfL/YPMCp9zT/HMcK7PSYNm91mw+jaTz9aqBph/nPm+NH+dN3S9gxjAaa/2Ge967Y0qT5bMvftC84EgIZmt+2epgVtPxsnqUSSNMbmKdFy423mbQ8Wzu1a67D1s9mjaQ6b0NCH2FDdSlxQfsvSX7rUX2sFCTlF0WqLoO0fiKN/OLXY54mHWdFbZNCrgL48tAQJioVTFQqmGk0Ahs4jvFwV7qnXq8HFdbzvGCqCPVVNp/j8kOkx5yenka1Wg2CYs/zMD8/H2znjaZfDTRtDk+b028DtuUvzf+RkREA8U+z9TwPk5OTQT7zPIzKk7iR5EVK85vXQ0lI8yDNEs/zcOONNwJYKDfeZrLybPU8D+Pj46F9JW3nUpBa5yX1ERTVpcRNUtf8fqG6pGpU3FjK/UTUuMDzPJw5cyZy3CBtDJYrG7m1pVJg72aevhtvd+rxzr3hlc5QD3DP81AsFiN9lePwWLb5MNK7Y+adE+qhbKCejHGkzS0keNp0e69eztTjPix/457WxM/LHN/kM00/Ta9xSV6k+/fvb/sujae33RDmJy6JNG0XaRvinq2UfvuHXjQZ9uzZE9pX0n5WGlLqvEFSH0FRXUrc8GuQFL9127VRIlLyiyNRl+R+Iun8so0L6JiCX7upHjo+Vh/4HunGk93mDa90xjRoWmnDfJXjavxhxzEaotLpV0M/afdDN/mbdLphaaoPvFw0v87TzYU+i/yy9R3SvWQlIzWvVJeiKHllKfcTWcYccZOrKfSAm42c2solR9w2Z8Z6id/ZCrMwCdu/l7QN1B6CWsXRtOK0WqNpcGu6JG0+pFhcSbIyoXVBovVLr9aFaZCljZxZy8HWLtOqX7Z0otqYNCsaQKYmQFYfQVFdStxIvQZJtbejSK33UnUt1XLk44SwOIKOKcw2iWOwXAXwYTZyBvN5ptHoymLObDP/m98p0SRhc2Z7tyTKwqTfd1FsFhG294LGxsba3hOP22qN2+QlaYFls6uLy5qvFx0SrExoXZBq/WKQ9v5hljZy1NaFt8u07Nps9Tiq35JoRSNREyCrj6CoLiVupF6DpNrbUaTWe6m6lnI58nGCLY4wY/CwGEPSGCxXAXyYjZxXrweB+VSthnPNJnYvVgJjMQegxWJuolLBU56Hu0ZG4NXruOXf/buW3ynRxGVDwW2y+FMgmg79HLZ/L2nbbJSoVRxNK06rNZoGt6ZL8i4ftbHillZp3l2UZGVCV9+XaP3Sq3VhGmRlI0dtXWztMg27Npu1UpT1kkQrGomaDJL6CIrqUuJG4jVIqr0dR2q9l6prqZYjHyfwOILGAnybxDFYrgL4MBs5r15vee/9KTLFPspibvPwMJYXCtg2Oop/eumllt8pnel3cExXYx4eHg6C5ah0zOeo/V3TDrNRMlZxNK24rda4NV7SnQS1seKWVll0ThKmcXG7NkkrhFNcrQvTIEsbOWrrwttlWnZtNmulKOsliVY0EjVRJPQRNlSXEhdSr0FS7e1sSK330nQt5XLk4wQeR9BYwBZjSBuD5SqAD7ORu3VyMnhyPuv7LYE+J8xi7tzZs5G/U86ThA0Fn7JirNxMOjzNOC3PbBZ2Dz74oDWtONOlA2b6OUkLLGpjxS2t0rTeWspWJr0gNbjKCm75wttlWnZt3Fqpk72d0SZtUCdRk9Q+QnUpS4U8WMdJrfdSdUkljfzi4wT6N7dZ5vtKHIPlahX6KBu5WycnAaDlybuBWs1xizmz7QsPP9z2O8VOnDYUUTZZ5t1MOm2e2qD1axPFV7KmT583bdqETZs2WdOKy56K2tHRz0laYHEbK/o5TestaVYmtC5ItH7p1bowDbKykZNg12azWYqyt0vTqrFbJGoC5PURBtWlJIHEa5BUezuK1HovVRewdMuRX+u4NVyUzbLEMViuAnigs41cp+1hFnPd2NMp50mikdFjZmnH1MluLY0OOck0pFhcSbywKflAql2bVHu7TkjUBKguV6TqUpQkkVrvpeqSShZja5t9dpp6+iFXU+iBdhs5JR2o/UIcFm70uNzSIcziIW47pk62Lfx807Soysp+ZKnayFFUlxuqyw2JuiRqAlSXK1J1KW5ILUfV5YbqciMNXb3ayMVpIR0XuQrgbTZyQKsNnIHax/HvNfh3h9ovxPW+JLeziLJ44BZn/VofdbJtoemFWVQlZXeRlf1ImulKtVhRXW6oLjck6pKoCVBdrkjVpbghtRxVlxuqy400dHVjRx1mI5eEhXS/5GoK/VSthi9NTwMAzi3ayJmAfKBQwPJCAV69DmDhffnKli24ulzG2lIp+H5VsYjnGo3gnXmlO0ZHR4Og1jz1jtNGjqdhS4feJTN3yPp5J6WTbYtJj+tKy+oti0Uz0kw3q3PshOpyQ3W5IVGXRE2A6nJFqi7FDanlqLrcUF1uJK2Lj91tMUapVILneW3beBwggVw9gbfZyM01m9herWKu2cQlxWLwjnt5aChYpd5mHae4Qe0X+rVwM/BVoqMsHrjFWb/WR51sW2h6XJfNOioJspqqk2a6kqYjUVSXG6rLDYm6JGoCVJcrUnUpbkgtR9XlhupyI0ldfOzuYiMXt4V0HOQqgA+zkTPMNZt4bjGgM/sA4dZxSvckZaUWlobneRgfHw/+tlmcJWV9ZCzsws43aWuVrOxH0kxXqsWK6nJDdbkhUZdETYDqckWqLsUNqeWoutxQXW6koYuP3V1s5JKKe/ohV1Poo2zkqEXc3rGx4Gl9lHWc0j1JWanRlR+5pUM3NlFx2cjxFSjNO/a2tG3WUf//9t42VpLrvO98KMsxQ3KGrIlND0NFqynLSAaE36YMRisk1kKqgZEvE4hRD+msA36Re2LYApYr7XSDghLvArG754sBkVA4TQEJE+9iPK0dw4peAN7iCsFubJJi3dhL0EOQnKJlazwjxLl1ydlRLi0Ydz/ceWqeOn2quk53vTx17/8HDKZvV9U5//N+TlfV+ddJV/Yjbcar1WIFutyALjc06tKoiQi6XNGqC7ihtRyhyw3ocqMNXebc3cVGzjxXA3fs7u7udikgiiJ64gtfoLvuuae2MP/6Bz+gmzdu0N2HDtEP/fAP1xauNt7c3KTgxImuZdDbb79Nx44d61oGEXWr5fr163T06NHehq8h3s3NTTqhoE6baKrjEo26tra2aGtriz784Q93LWUBjflFpFPXW2+9RUeOHKEjR450LSXHjRs36ObNm530hWVcv36d7r77bjp06FDXUnK8+cYb9KFjH+xaxgJ/9md/Th/84N/pWsYCr776Gp04ocvvmUhnH0GkVxfmEm50Nb8sQ+tcYmtri+6//3765je/2akOFXfgg499rNJd8atJku0ubz4+vwpXk6TQF36V89rm7MmTtHFrU79V4U0b+B1w8xcw07aNz43jmDzPI9/36bHHHqMLFy6sFL8Mx9TCO8QTEQVBkL3vznfLzfOJyEkLh22mh5Hhy89Sl7xzf+7cOTp79uxK+WBiS1ud4XcRb5qmuTK0xXWyhjq9LuvWq6boiy62Xpl0/KRTX/KLqHtdNk3j8ZjCMKzkbV8Hcuzhz0X98ubmZuN9IVF+jGBd0nLU7P9PnDjRWn7ZsJXj5z77BH3+ySc601TEp3/l1+nLzz7dtYwFPnX6cYxBBfRJF+YSxXQ1v1xGU3MJ2Y9zHET5NY2pwXacx6MkSVTche/VO/CXbr0f8W6a0lO3bADKLOLk35ctm51dsrxvcTmOc/Z0Mjx5bD9gWiqwfQIj7dWkhcK6Fm6MDKfMQsJmXbeu5YRMmy09MnyZP6auJtivNnJltoBaOMgWK6sAXW5o1KVBkxx7+HNd48yqmPai5viIvgs0gdZyhC43oMuNpnTJflzGYbOFK7OP7no8stGrBbzJc9MpXY7jbGO7l6KInr5VQPJv3tDu0myWLfxt/1+azehGmmbX8PWXZrPcsf3CZDKhMAwXfpWS8K6Lo9Eom8gkSZL9MrUOMhyphQmCINsNns/lHSFt57vCabOlxww/DMPc0wDmrvh1E4ZhJ+8oNRmvWYYafsG00VXeLwO63ICu6nSpSY498nNd48w68BghdbXR/6+KxroF3NFajtDlBnS50ZQuuXs8xyHXNBJpHy2PaxiPTHq5gD/seVbrONMijv8+HgT0ehzTjTSl40FAl2az7Br+mze9eymKsrvsZnjy2H5AWipI+wRG2qtJC4V1Ldxk+BxOkTVbkiQUBMGCpcO6Vm6mjZyZHhn+YDBYuNvCuppkv9nIldkCakPTTqMS6HIDuqrTlSY59sjPdY0zqyLHCHN8bKP/XxWNdQu4o7UcocsN6HKjbl02m+g0Ta22cGX20V2PRzZ6t4B/OAxz779L67gipOVcOBjQ781m9MitguFd68PBgK4mSc5rXlJ2rK9IS4WNjY3MPiGKogWPd9NCoS47BQ7HtHeIooi++tWvFsZft5WbDDuKIvrlX/7lLPz5fJ7rBJpuwPvVRk6Woc0WUAMH2WJlFaDLDY26utYkxx75mag5q1BXpC5NEzhJ1+UI6kFrOUKXG9DlRhu6ZBzmmmKZfTSRnvGIUbGJXVXMje7KLOLM//m8y3FMn7y1eOdjv3/lChERPX7rbq4tPL7zHtZgnaYFmx3aZDLJ2SnwhjxhGNZuI7fMCu7UqVN06tQp67l1WLkVpY2I6Otf/3ruXLnBUhAEjd592a82ck1ZEdbJQbZYWQXockOjLi2a5BM5NhufLjA3pGNdGu++aylHsB5ayxG63IAuN5rUZc715Wapcnwps4/WaCPXqwW8jaq7w8vzihbhh73i96nLju03inbRlQ2rrkZWFI5NQ5Mdjgy77bhtdNW5Nh1vE3WobqDLDehyQ6MujZqI9OrSCvJrf6C1HKHLDehyow1dRXNQnveXzVG15VuvHqG/miT0chTRy2v8+nE8COiw5+XCejdNM3s6UI0oihp5lERa9Mh40jTNxWn+3QQcbxzHmZ2FqauJ+MzPTWKmo+k8LYtbC9DlhlZdcsNETbTVtl3QWobQ5YZWXcANreUIXW5o1aVxDCJqP79s+WBqkHMIbeXZqwW8zUZOYlrF/dY//+eFx6SF3G/eep+aiHILeZv1HGjH7sGMx7R0sFlANKmF6Pb79k2kX8Zni7sJzHS0aS9y0KxM1gW63NBo+UJk71e6RmsZQpcbWnUBN7SWI3S5oVWXxjGIqP38suVDmbW2xvLs1QLeRFrASUs5oj2LuVdfeomuJgk9NR5n/0teiiK6HMf0oO9nFnMvRVH22XYN2KMNuwcZj2npUGQB0YQWm21QE+mXaTfzoQlsVnxt2oscNCuTdYGu6mi0fGHaaNuuaCxDIuhyRasu4IbWcoQuN7Tq0jgGEbWfX2Y+lFlr12FdXTe9XMCzjRy/l34jTRcs5d5NU/rvf/EXs79t770/PhotbIL3yHCY26EeFNOG3QPHY1o62CwgmtRisw2qM/2mrV0bnUSRFV/bjzBpBLrc0KZLo+ULUXttexW0lSEDXW5o1QXc0FqO0OWGNl2axyCi9vKryF6uyFp7XevqJujdAl7ayL2bpnRpNssedbdZyvH78tF8TjeMinHY8+jJ8+fp92Yz+qudHSLae7T+ObYys1wD2rF7YEuHIssHm8VDU5iLAK02HK6YVnxtpktrHkKXG1p1EemzfNGK1jKELje06gJuaC1H6HJDqy6tdJ1fpn20aWlat3V1HfRqF/oiGzm+Yy7vpkv7t4fDsNBujojoyfPns89XkyS7a29eA/Zow+4hiqLsPVab5cMyC7o6tRDlbYOaSr+Mr8gJoE5MK7427UUOopXJOkCXG230D6vSRtt2QWsZQpcbWnUBN7SWI3S5oVUXkb4xiKib/DLzwbSPJrptHSrny1ps5Hp3B95E2sPZLOX4MftV7OaqXnMQabqRabd00Ngp10Gb6dKah9DlBnT1H615BV1uaNUF3NBajtDlhlZdWukyvzT+qLGM3i/gAQAAAAAAAACAg0CvFvCreLcXnXM1Sehd8X5kVR94+MXv0ZYfoukDbz660qTPc5EHvTxWFzJ9Nt/5OuE0mekqyuOm0OapyUCXGxp12dqsJrT502vNK+hyQ6susBzpSa21HLXq0uprrlWX1nJsW5ctvrJ2qK08e7WAN73bL81mCwtq6d1+NUmya2w+8Ic9L/tehn05jrPFvVzoy/AOMm35IUovRtuGVNKjscm4Tc/5JtJflL66kd6XZrra3PRLo6cmEXS5olWXWbc10WS/tQpayxC63NCqCyxHjstay1GrLq2+5lp1aS3HtnXZ4itrhxrLs1cLeKK8dzvR3mL7N2/tDii929nT/eUoWvCIZ54aj+lyHOcW5ZdmM7qRpvS0CONpIzzQnl9jGIaZjVwcx9mdK9Ojscm4Tc/5JvwgZfpsvvN1wvZ7ZrrMPG4arR6p0OWGRl1m3dZCG/3WKmgsQyLockWrLrAcHpc1+k0T6dVFpNfXXKsurf1Em7qK6rMsM1OPtvLs3QLe9G4PBwM6JArA9HR/OAwXPOKZ40FAr8fxglXcS7ce0ecwOHwOD+zR9N3awWCQ3UEbDofZztJEtODR2GTcpud8E36QZvpsvvN1IL0vzXSZGtpA0+NIEuhyQ5sus25roel+ax20lSEDXW5o1QWKkeOyRr9pIr26tPqaa9XFaO0n2tJlq89F3vBFx7qmdwt4m3e7hL3bD3seXZrNsjvmNo/4y3G8sCC/miR03LJwMsM7yLTl1zifz7NGY/q+mx6NbcbdhB+kjKOtyb2ZLvPvJuna87MI6HJDq64267ILTfdbq6C1DKHLDa26gBsa/aaJ9OoCbmjtJ9rWZdbnKIpyN6+05pOktz7w0rudv2dfeL4LX+QRL68xv3/81q8xRec+ovCuTtu05dfId4NtPvDynLbjNv3T64yP42hygs92GWEY5uJs0ztbq0cqdLmhVZdmH3ii5vqtVdBahtDlhlZdoBpyXNZIE/OeutCaZxp1ae0n2tZlq8++72fx8/xY6uHy1OID36sFfBWKfNyLPN3N7w+XPCIBX/jbtNXIynzg91vcXXSoZpzwgYcuV6Cr/2jNK+hyQ6suAIAetPYT2nzgteYT07tH6F++tYldFYos3y7HcWZFVzWM/W4fV2RdJm0UTEuFOt6VlrYMRRYNSZJYLc7WtZxYZhdRlPa6LKrMNMkN5Jq2q5B52qQ9XhkarUw0249BV3Hctv5Lgy6ixbasrRy11XmZX21uqumKRl2ayhGsh8b6pbU9aq332mzHGK351bSuKnNe+betvmuq/71awD83nWb+70X2cMxT47HVZi6az7P32Hn3etM2ToZr2sZJWzl53X5Bvt8kbRT4XRA+XocVkrRlKLJo4HjM91nXtZxYZtsibaikpZx5bB1kmqbTKSVJQrPZrHG7Cs5TMx1mGTeJVisTrfZjbZaNC12Wo9ku5WfbsS50mW1ZY73XVOdlfsk+URvarACJdNYtsBoa65fW9qi13mu0HSPSm19t6FpmCS3/t9V3be2yVwv4B30/W1g/Mhwu2MYRUfb/jTSl/297O2czR7S3gH98NKKHw5AmFy/mbOOem07p0myWC5fh79lWTl63H7BZl5k2C3x3q04rJHMXdImMx7Q4q8PSpMwuwrShYks527FVkWniz5zepnbQlnlqS0eb7/ZotDLRaj9GpOe9K5Muy5Hbpa3/km22K11E+bas0YpJW53n/DL7RC1otQIk0tmnAje01i+t7ZFIb73X6IRCpDe/mtZVxRKaNZj1XWO77NUC/rDn0WcmEzrsednimjeb43fX2RLukOfRPffdt2AzJ99j5zvxbBv3bppmG9aFBZsfSVs5aTe3HzCty6TNgpwc12WFJG0ZbBYNMh7T4mxdS5MyuwiivA2VtJQzj62DTJPneTSZTCiO40btKmSemulo0nu+CG2PcWm1H+uibFzoohxt7ZL7L/NYV7rMtqzRiklTnTfHBO4TNaHZCpBIX58K3NBav7S2R0ZbvddoOybRll9M06+OVrGETtN0ob5rbJe92sTuu0lCL91auB8PArocx5ltHNHeXXL5SP21P/3ThTDCwYB+88yZ3KL+eBBYH7W/kaa58yRsN7df3o2XlTKKIvJ9n8bjMfm+T9PplDzPyx753tjYIKJmH3WJoojOnz+f6ZjNZhQEQc7KjbWtu7Ax7SKiKKKvfOUr9IlPfILSNKX5fE6+72edsallVWQ4Mn+bRJadmY62NHBcmh5FYuoq27pps2xc6LIcZbs0B1WzzXaly6TOfqsutNZ5IlJZ59sY/1ZBa58K3NBav4h0tkfUeze05lcbusrWEWEY0u7ubk6DaV1NpKtd3rG7u7vbpYAoiuh3oihnEVfG1STJ3UWXf5vH3r3lB2/Cd80Pe17uc1k8ZWF0xdmTJ+mFW5WqTqIosu7IWGTx8Nhjj9GFCxca11DFYmJVLTJsjtu0kZNx27ScO3eOzp49u3K8y9K3Svgu8RdpaCLeorhOnjyZdZRdYdPVRB13pS+6eDO5NhaoZW2my/xytcPpuhxtesfjMYVh2KkVkk1XFEW0ubnZSJ+0DufOnaMTJ06oy6/PffYJ+vyTT3SkqJhP/8qv05effbprGQt86vTj9MIL3+paxgJd9xFE/RmDiHTMJWxoza+m5nkutDGXKBqbq8z7m9S1Cr26A0+0aOVWZhVXtLiW3xeds8wyrsuFe9MUTUDafGembUsHm9djmY1cXVq6tMmzxQkbOehypUtdZXFr1aURrXq16tIK8gs0idb6pVWXVrTmV5d2zVXm/dro1TvwROvbyF1NksIw9svj8HVSZIfUlN2DaeFQZrNms71bhbKwOD5beuu20eMwm7Z14jht6W7T9uSgWpmsCixpFinqk7q2RuO4u7ZqrIpGTUTQ5YpWXcANrX29Vl1a6z10udG2LjM+c81Rth7RQK8W8HXYyPF1cpd5toMzLeM4bLkb/X60jitCWlfZbNfq3iSqyEZiOp0uWDrU+S5WUVjSbo3/No+tg2kzUmTvVicyTjPdbdqeHGQrk1WAJc0iZVaQXVqjmfabNtsaDZZtjNY6D11uaNUF3NDa12vVpbXeQ5cbbesqG4ulfbRtPaKFXi3g67CRIyJ6OAwpHAzoxq1Fu7SDi+ZzuhzHubBviB8N9pN1XBXkr02m7Vrdv5SZlg7SGsq0dDBt5dbBFpZpGSHzoQkbvWX2bnVi2jTJdLe5G/VBtTJZFS07hZt0mV+cJ2bf0aU1mtRi09GlvV0RWus8dLmhVRdwQ2tfr1WX1noPXW60rcsci+Wao2w9ooVeLeDrsJGzIe3govk8e/+dwz7kedl3+806rgxZWaUlRlMWTTZLB7aGMi0dTFu5dbCFZdqtyUbbhI1emb1bncg4zXR3YXuibSHDaNMFS5pFZJ6YfUeX1mim/abU0aW93TK01XkGutzQqgtUQ2tfr1UXo7XeQ5cbbekqGot5zVG2HtFCrzaxq8NGjuj2XfqHw5Aux3HODu7J8+fp6fGYDnlezkru5Sjad9ZxyyiyrmrKosm0dPj+97+/EC9rqdP6yAzLtLAz86EJO4kye7em6NI+6iBbmewntOSXac/WZd2WWogop6NLe7sitJShCXS5oVUXAE2itd5Dlxtt6zLH4iiKcmsOc06h7dURop4t4B8ZDnP2buFgQFeTJLtTfjVJ6JFbdzs+M5lkd8qlRZ1pV/fwrZ0HOQyivUU8h8ffv5um9Pdu/fIiz93P8B2kwa308i6NptVCXVy8eDH7HEURnTp1ik6dOkVElN0pZi3m3+tgC4vTxnfebXHV8SiNudt+WXx1YZajjKctCySuW9oe49Kqi6i9snGh6/ySdVlSZ//giuzHiMjab2mqX12XYRHQ5YZWXcAdjX09kU5dWus9dLnRti7bWCzXHOY4HgSBqrvvREp84J/4whfornvu6VJGL3lzc5OCEye6lkFvv/02HTt2rGsZRNStluvXr9PRo0d7G76GeDc3N+mEgjptoqmOSzTq2traoq2tLfrwhz/ctZQFNOYXkU5db731Fh05coSOHDnStZQcN27coJs3b3bSF5Zx/fp1uvvuu+nQoUNdS8nx5htv0IeOfbBrGQv82Z/9OX3wg3+naxkLvPrqa3TihK6JOpHOPoJIry7MJdzoan5Zhta5xNbWFt1///30zW9+s1MdKu7ABx/72MKdcRuX4zh7XP5B31/q1b7fOXvyZPbodR3wRmryvVJ+bCQMw9xx+fmxxx6jCxcurB2nGb95nB9D5c9SG+OixYzP/DWuSBvHbWo9d+4cnT17dqV8WKZt1fBlnvHfUrsZT13xVsEW18ma6/Qq2HStU8froi+62Gql681e+pJfRN3rsmkaj8cUhmHrd924z2JLTaJ8Hx9FEW1ubjbSJ1XF7FeJ9vrJEydOdHaXsmhM/Nxnn6DPP/lEJ5rK+PSv/Dp9+dmnu5axwKdOP44xqIA+6cJcopg253kutDGXiOOYPM8j3/etc3k+Li0TuT9lfWwp1zW92sSOaG+TOYl85/1qkmSPzcvP8hzXzwcFm6WCfO9bWirUZYVk2i2ZYRbZ2Jna1o2b45Dv39jS25ZFVV12GjbbF6ndjKdNGw9YmbgBXW5AV3U0abL1Wdo2/dNqp1WntSroDk3tUQJdbkCXG23oMu2ozbm8eZy/a0ufKyruwFfleBBQ5HnZe+vPTafZZnNEe3flX4/jbNf41+OYHvT9hXMux3H2Lj3f1edzDnte9rnKUwH7iTAMaS5+IOHdyfmudBiGFMcxpWm6cO4q8K9q/EuW7RetIhs7U9s6cfOvamb8nF7ehZKPj0ajxjfb4LjXxdyJ29RuxlNXvFVoMy4XoMsN6HJDoy5NmrjPCoKAZrNZ509y2NBop7XumAj0oKk9SqDLDehyo2ld/FSXtGyW82F53Db+aMu33t2Bl7ybpvQB8Sj9I8NhZhnHn+U5x4OAXr+1YJef5TlmmAcFm6WCzV4tTdParJBMuyVzolZkY1ekbdW4y2zh+DGaLiyq1r2bYrN9sWk342nzLo7WO0bQ5QZ0uaFRlwZNZp+lzbaHSK+dVp3WqqB7NLRHG9DlBnS50aQu047anA/bjpvjj6Z86/UCnmhvEf/6kl9E+JzLcZzdvZefzXCqhLnfmM/n2cQkiqLsMRJ+LE9aPMhz1+HMmTNEtPeIimnVFkUR7e7uFj4WKLWtG/fGxgZNJpOsoXLcnF55bh1xL6MpO40oiujcuXPWMm0yXhuwMnEDutyArupo1EREqu509IGmxyXQDlrbI3S5AV1utKXLtKPmv6Moou3t7exvc/zRmG+9eoSeaNESTlq92Y4T0YLVnMvng4K0VIiiiHzfX7Bikpu81WH3UGa3RHT7fRTTxk7qXdUmyoybwzTjtqWxaYuqOu00zA2VnnnmmcIybdPGA1YmbkCXG9BVHW2aZJ+l7e47o9FOq0vrRFAf2tojA11uQJcbbegqs6OOomhhfizHH6lPwwZ2RPvgDnyVR93lOa6fDxLyXXfzu7LPdccvNZTF01RD7zLuJsO3pcuMp81OXdsAwkCXG9DlhkZdGjUBd1CO+wOt5QhdbkCXG23oKprzapj3u9KrBfzlOKaXo4hejiK6ive8aiGKouxxEmmbwH/zJm/ys3ndqphhxnG88P6eGY/5Pv6qGsy4bWGxHraMkL+6rZJ+8xpb/spXCOrKXzOcsjytI96qtBnXMurO+7rQqkvSli5bf2G2y7brsqlJfsd9iq3dayjHsr5fC1p1aW2LWvMLVIP7Ly31y+y/bHM0LWjUpbE92sYsLTRV781y4LqybM1h6tHSLpleLeCJym3k5Hc2CzmQR9oi2Kxx5LsiRZZy6yDDtNk3mHZ10uptXSsfGXeRdVGddhK2a8x3cYrs3VbFZndXZp9ns/JrCk2WHE1YJNZBmZWhFtrUVfR+r61/aKsu2zTJdme2QS0WZMv6fg1o1aW1LWrNL1AN7i801S/Zf9nmRFowbYA1oLU9at0no6l6b5YD15Vlaw5zDqGpXTK9WsAfDwI6dMtG7kHfp+emU7ocx/TUeEzPTad0aTaj/+Wf/BO6kab09HhMT43HdDmO6ZKyhq2FyWRCYRhmm9GZu5Pz3eckSXKfifYeN1n3cRJb+OY7j2EYZr8YmsfW2QneTE9R2tlOwtwl3zX9Zl6bGkajUdbB2M5dBRmmhLXb8rTNX2XrqEN1YOY317musenSkF8mbeky26xsl13VZVMTUb7d2dqgBguyZX2/FjTqqqt/bgKN+QWWI/svTfVL9l9Fc7SusfX9WtDYHm1jlhaamktwOci6smzNweczmtol06sFvIm0fPvkcEjPTaf0c//wH9JLUUTvGlZxYBFpj2bbVV7a0hRZyq2DDNO0byDKW9uZVm/r7oJvxm2GVbedhGlFZ2qQdha2c1ehzO4uTdOFPLVZ+TWNhoWyzO+6LBLrwFYPNOSXjTZ02fogbpdd1eUiTdzubDY1GiYAy/p+DWjVVVf/XDda8wssR/ZfmuqX7L9sczQNlNkAd4nW9qjdbrLuuYQsB1lXlq05zDmEpnbJ9HoBT3Tb8u256ZS+tLFBz//u79LxWwst0yoO5DHt0RibjVyRpdw6mLY3po3cs88+mzU+0+qt7rglTdhJyLxelr9F5eKKmUbTHs/MU9PKr0k0WXLI/K7LIrEOTJtFLfklaVOXafny1a9+NTvWVV22tTFp1ajV2quuPuYggrwDdSP7L031q2yOpoW654b7Ha1jUhtzCbOulK05zDmEpnbJ7DsbuS9+4xtERAfaEq4qppUa78JYZiNnsx9blbLwiW5bnsl4zMfY64p7md1akZ1EVWReV8nfOrDZCtns8ThPOV1t2BBpsjKx2RlCVzXaLEfT8uXUqVN06tSphXOkrqbrsq2N2awa5XENFmRFfb82NOqyWZBqQWN+geq0/QTcMpqeo9SJtrwj0tketdpNNjmXMMuB68qyNYc8bs7hNdC7BbyJafl22LhzdlAt4dahTRu5ojCrWDrUGbekaTuJKvlbF1qs+bqOywXocqOLOlNlYtSWrmVtTGu5AQDAMtCX7T+0lmPbuvo+dvf+EXoAAAAAAAAAAOAg0KsFvPR+L/KBhz+8G9Ifscjj0OZN2pQforlJ3jKv4jo24ijyxTS9nMv8p9eJ28zTpn06y3xdD6oPvESrLo2eskTd5pdWz9YiXVo9eLuuW0U+vVraolluWnQRLdYvLbrA6miqXxLocgO63GhDlxmH7DPl3N42z9eWb71awEs7uEuzGT0l/PjY+/3SbIZFfEWkP2KRx6HNm7Qpr2zTy1N6kBZ5tdex6UWRlzPHscx/elVs+V8WXx3IcjR9MNv0udToqUmkV5dWT9ku88vWJ5n/d7HhjNRgeslq3Dyo67pV5NOrqS3KcjPLtEtkHnVdjqAeNNV7CXS5AV1utKHLjKOoz5R9O3zgG+JGmtLVJKFLs1nm/U60t5j/zVs7BoJypMWR6cFY5k1at1e2zcvT9FCWWuv0/izyxeRf3sr8p9fFzP80TRv16ZTlaPpgtu1zedB9zV3R6ClL1F1+2fok8522LhbLpi75C75WD96u65bNp5dIT1s0y03LExRmXeu6HEE9aKn3JtDlBnS50bQu2xxX9plybm/O8+EDXzOHPC/bpI6934n2dqA/pCiTtWKzy5IT3iJv0ia8sm1enqYHqdRap/dnkZczN9wy/+l1kGmSedqkT6fp/yx9MLvwudR2N5LRpkuLtV0RXeSXrb6yjib6qFV0mT/0afTg7bpuFfn0Mhraoiy3un68rQOzP9fcRwA3NNR7G9DlBnS50aQuc85g6zPl3F5+hg/8mvz9MKSnxmN6ajzOdpt/OYroapJk3u9gNaQHI/uUF3mTNuGVbfozmn7Ky85fhyK/9CIv5yYeUZR52qRPp+ll2ZXPJXzN9wdd5pesr6aOJvqoVXWZj19rfIxeC7Jf19QWZbmZZdolGr2JwXpoqvcS6HIDutxoQ1dZfxlFEX31q1/N/jbn+Rr72l7ZyD0chvSg7+es4d5NU/p7txZx0u/9M0p+IdcOWyeEYZj5H7JPOWO729CUX6OMy/RTtllH1XEnpMwv3eZ/GgRBbY/v2/LfjK9ObN7iNp/LptHkAy/RqotIp6dsl/llq8usg9u0Fl3cxrR68HZdt8p8ejW0Ra1+2GZd67ocwfpoHYOgyw3ocqMNXbY5LveZURTRqVOn6NSpU0S0OM+HD3wNLPN9B6ujyWO5DR94iQY/yC78J7vsxLUNIIxWXVrRkl+mDujqP5ryqk/+wKDfaK1f0OUGdLnRpa4+/vjZq0foL4tHGi5jp9VOacpOwbTBKbO5q1ODzX6nzKKqqY2o2rRP6tomQ5slB6NVl1aLKK35pVWXxnLUmlfQ5YZWXcANreUIXW5Alxtt6jJtquX30s65jXn/qvRqAR/N5wuf5UKe7ePM/23nvZumORs6UJ2m7BRMSwf5t2ndU6dNlM1KQsZns6aS9mt1YdontfWuTRc2GRotOYj06tJqEaU1v7Tq0liOWvMKutzQqgu4obUcocsN6HKjbV3Sppox1xzyeFPz/nXo1SP0x4MgW7j//TCk56ZTOuR5FM3ndNjzsl3oH/R9ej2Os8ft303T3LV8nGhvMW8+lg+WE4ZhI5NQ0wbHtI4zNczFjzp1xivj4/cxpa1cmqa1vQfPYQdBkMVRZ9qKCIKAZrNZbh+BpsrVRptxuaBVl1aLKK35pVWXxnLUmlfQ5YZWXcANreUIXW5Alxtt6hqNRtbFOI/P5vEm5v3r0qs78OFgQJfjmC7HMT0chvRumtIHbm1q926aZhvXPTIc0iHPo8dHo5y1HMPHpQ0dcKfuR13MXaPl36Z1T502UUVWEhyfzXpC2q/VgbRPatMCy2aH1+ajVRof4yLSp0u7RZS2/GK06dJcjtryioEuN7TqAm5oLUfocgO63GhLl7SpZsw1hzzexLx/XXq1gCfa27ROblz3bppmd9PLiOZzumGpGC8r2U2wT7Rh98BWdjJOad3TpE2UaSNns4+o20ZI2ie1ZYFldkRt2oscZCuT/YTW/NKqSyNa8wq63NCqC7ihtRyhyw3ocqNtXTb7aLnmsFm+arEPZXr1CD0R0eO37oIS7VnFXU0Sq32c+X/Ree8qKoy+0KTdg7R08H0/tzO+zY6pLg3mDpSmjZykSSuoNu2TTJuMNu1FDrKVyapo3CVVa35p1UWkrxy15hV0uaFVF3BDazlClxvQ5Ubbumzz+CprjsFgoMZGrnd34E2qPgJfdB5s6FajLRu5sjib0lDFwq7p9HfVubYZr7YBhNGqSyta80urLo1ozSvockOrLuCG1nKELjegy422ddnso4uO2/7uml4t4E0bObnLvKTse/OOe9G5VcM8SLClQpH9QtNI+6WuNDBNx91V2tq0uIKViRvQ5QZ0VUejJiLockWrLuCG1nKELjegyw0Nutqyrq6DXi3gbTZyRHbbOP5bLtgvzWbZHXf+MeDSrXcuLsdxdq553dUkyZ13EJHWZjb7haYx7Ze60MA0bXfRlc1HmxZXsDJxA7rcgK7qaNREBF2uaNUF3NBajtDlBnS5oUGXnAObetq2d65Cr96BN23keEHOi+3jQUDj06fp4VuPQrBd3JPnz+fCeWo8pgd9P7eI/4Dv09PjcbYzPV/H574cRbnrHlFoBdQ0bG02mUw62QRD7ghZZAHRBqatXBN0ZfPRpsUVrEzcgC43oKs6GjURQZcrWnUBN7SWI3S5AV1uaNAl58CmnjbsnV3o1R1400aOiHL2ceFgkH1PdNsuzuR4ENDrcZzblf6lKMp+CDCve2Q4pIfD0HrdQUFam9nsF5rG3JW9Cw2MaSvXZDxt0oXFlabHkSTQ5QZ0uaFRl0ZNRNDlilZdwA2t5QhdbkCXG13qss2BWU+b9s5V6dUCnmjRRk7y1Hhc6RF3+QMA0d4j8scNL2wZ36XZjF6OooXrDhLS2sxmr9A2XWqw2crViVabjzrRmkbocgO63NCoS6MmIuhyRasu4IbWcoQuN6DLDW26TD1t2Tu70KtH6IkWbeSYw56XLcLl97bPpv0c33m32cw9PhrR1STJHpk37egOCqZtW1M2amXIXSKbtHJbxsWLFxsNv0ubj7YsrmBl4gZ0uQFd1dGoiQi6XNGqC7ihtRyhyw3ockOLLp4Ds40c65FrIC02cnfs7u7udikgiiJ64gtfoLvuuWetcP76Bz+gmzdu0N2HDtEP/fAP16RON29ublJw4kTXMujtt9+mY8eOdS2DiLrVcv36dTp69Ghvw9cQ7+bmJp1QUKdNNNVxiUZdW1tbtLW1RR/+8Ie7lrKAxvwi0qnrrbfeoiNHjtCRI0e6lpLjxo0bdPPmzU76wjKuX79Od999Nx06dKhrKTnefOMN+tCxD3YtY4E/+7M/pw9+8O90LWOBV199jU6csD+R2SUa+wgivbowl3Cjq/llGVrnEltbW3T//ffTN7/5zU51qLgDH3zsY7k75UVcjuPsLvvlOKbDtzacM7maJAvf277rO2dPnqSNjY1G44jjmDzPy351CoKAPM/LfX7sscfowoULK4Uvw2Hkr158nLUQ3f6FzHati5ai9BDtvfcSx3HuO5suGfe5c+fo7NmzK6U/SZLsdQBOn/lr5Crhu1JXulaN62QLdXoZ69arpuiLriiKKIqibLNHLbqIdOYXUfe6bJrG4zGFYdjaUzkM94O2fpm1bm5uNt4XLsPWP584caL1/JLY8utzn32CPv/kE51pKuLTv/Lr9OVnn+5axgKfOv04xqAC+qQLc4li2pznudDWXKJsLi//lmORPBbHsYq78L16B35dGzmivF0cKGc6nVKSJDSbzXJWCnXZPdjCYZs687j5vvu6Gpalx7Spk7r4/3XfgbfZUtjia4s2bTw0WIbYgC43oMsNjbo0aSqz8dFEF/3zMjTnF6iO1nKELjegy422dJXN5aUG01ZZY771agHPNnLRfJ7ZyD03ndKl2SzbwO6f/fzPZ3+/FEX09K3MvjSb0aXZjG6kafYdKCdJkuwu9GQyoTAMyfO83Od1MMORd9uZMAzJ9/1MS3LrR5p1NSxLz2g0yhquTVddv76FYUhpmmZ34SeTiTW+tuD83m9xuQBdbkCXGxp1adJk2vho0cV02T8vQ2N+AXe0liN0uQFdbjStq8pcXmowna605VuvFvB12MhJuzhQDi9u4zjOWafVZaNmhjOdTimKogUfyDRNaTgcZptI2K5dJ25bWNKmztTFC+11MW0pkiShIAgK86Et2tzZH1YmbkCXG9BVHQ2aymx8tNB1/7wMbfkFVkNrOUKXG9DlRpO6qs7l0zQt3HFeU771agFPtJ6NXJldHLDDj65L67S6bNTMcDY2NmgymVAQBBRFEe3u7uYedZGP0a+roSw9URTRuXPnsvikLqK9SWYdFnbSlkJOBs342qJNGw9tliEMdLkBXW5o1KVRE5FeXV31z8vQml/ADa3lCF1uQJcbbegqm8uba44u9LmiYhM7F1a1kfvMZGK1iwPFNG3VVmTHxo+R8zv4Nuu6da3cll3/zDPPLKSdf6lju4t188W05jMnhG1vAtamjYcWyxAT6HIDutzQqEubpiIbH210vUmjibZyBKuhtRyhyw3ocqNNXba5vG3NITcklfo0bGBH1MM78EV88tbjzo+XPFJddvce2OmqkXPDkfG3+W72svjq0qKtE21Tj7a0M9DlBnS5oVGXRk1EenVpBfm1P9BajtDlBnS50YUuc7Hexry/Lnq1gOfH4+Xu8rzz/GHPo4fDMLdAl7vSmzvUgz3SNM0eBY+iKPdYOD9Wwt/Jc4koex+9jvg5LvOXLRm/qc/8e9W4y8LiNJr5YNPqEh/D4Zp5vW7aypCbAZrxyGNt0GZcVWky79cBuhbbUFmbaasu29p1Wd+irRzNvqfL+M2+te3+yKbNpktbGRJ1X45gNWT9LvrcJrZ6VDRf6JIq87eu6br/KkJrfrWlS+6lVTY+ax+7e7WAZ+u456ZT+r3ZjC7HMb10a0CV9nC80L80my21luPjT4md6eV79DYruv3CMsseaaVmWirUYaMjw7S9Uy4tHkx961o6VLEr4jSax1d5/93MPzMNMq/rsqmzUWQNaB5rA41WTE3m/Tpo1dWmtUqZrYtpydhWXba167K+xWYd2TWmZWaX8cu+te3+yKRofNJYhkTdlyNwxxzvbZ/bpshCV5ONlq2P1Vbvu+6/itCaX13ZyMm6LvOmyGJOU771agF/2PPo3TSlQ7f+fzmKMjs5tofjjewu3cr8y3FMv3nmjNVaTlrP3UhTupok9NR4nP1vnr8fKbPskVZq8tw6bXQ4TNMmjuE7HqbVWx1Wdhy3LSyZRvN4kdaq8TEyXDOvm3rHRloDEuXL3DzWJJqtmLS832SiVVeb1iplti5syUjUbl02NcnvbH2L1KkBs+/pMn7Zt7ZZhkUUjU/aypCo+3IEbsgxsOhzF5RZ6Gqy0TLnrtrao4b+qwiN+UXUvo2crc+UeWOzmNOUb71awD8chvTcdErhYJAt5h+8VdhsD3c8COj1OKYbYsM6aSVnWsux9dwhz8vCkpvc2azo9gvLLHuklZo8ty4bHRmmaRPH8fNmE6bV27o2cjJuW1gyjeZxm1aX+BgZrszrumzqinSwNaDUUXSsKbRaMTWZ9+ugVRfTxqBWZutiWjK2VZdtmsr6FlOnBmTf03X8sm9tsz+yUTQ+aSxDou7LEbghx8Ciz11QZqFLpMNGS7ZNre2x6/6rCK35xbRtIyf7TJk35pxLY771agF/PAgoms/peBDk7OCkPZz0iK+CtJ57md9vm8+zHwAOCtIiIYqi7NEf2+PiTdjomHGxpYPNxo5ofRs5ic1G7vz581kazeNF+VIVzl8ZrgyzLpu6ImQ85uNdTcYr0WzF1FYeuKBZVxePCJqWL9KSkekiv7htM2bfYdPZNev2Z3XGb2rRUuelLo1lSNR9OQI35BhY9LkLZD2SWjTaaBHp7FMZje1Ra351YSMn63oURfTss89meWPOuTTm2x27u7u7XQqIooh+J4py1m+u8DvqvIHd1STJ7qaX8dx0SseDgF66Ff+7aUqHPa/y9V1z9uRJemFjo7bwpEUC78hYxdbhscceowsXLtQWPxFlGlxtJerQItNfRStz7tw5Onv27Mrhm5Z5q4a/jLJ4moy3CidPnqSNGuv0KtjyoK46vg590cWbfTX5xICtf6hSl5vOr1X7jq7L0aZpPB5TGIZL01N3/Mv6wSiKaHNzs7U+aZlG5ty5c3TixIlW8qsIm67PffYJ+vyTT3SkqJhP/8qv05effbprGQt86vTj9MIL3+paxgJt9hFF8y6NfReRXRfmEsV0Pc8roou5hLnuqTKnaENXFXp1B74I0x6u6uLbtJ7jMPqweG8Cm/dhV7ZiVSwdmqLKBGwdXUXht2WZVxaPlvfbukRrHkDXbarYTO7HvqMputZUVI5d65Jo1SXRqgv0i6J6pLV+QZcb0LUYp9Y5RRnv71pAl7D1HAAAAAAAAAAAoJ1e3YEv84Gvei1/LrrO9v1B8ZC3eRzafODjOF7JB30ZRbvQ23x46/C8lT6ippfzMj9im/fzKpR5TjbpH8o7pJrl2KbPpTZPTQm8W6vTpa6i9tO2J3aRB33XbawKmv3DocsNrbpAddAe3YEuNw6yLts8oWh8lvN+je2yVwv4ZT7wDH+W3u58rfmZF+fL/OI53P3qCW/zYJTf2fyO69yR0eaZKX0Xzc1A1vW8lemxpa3Mj9h2/irYfKxtPpR1Y4YtN+eTfzeJJk9ZE43+9Bo9SIm6LUeZJ6aONj2xbW3X7Mu6aGNV0eofrrWPgC7QJFrbo8a+i0hvvYcuN9rQZcZhrivkcXMc19gue/UIvc0HPhwM6LnplA55XrYwf9D36fItKznekI53sCeizDuewyPa2+F+fPp09kj9g75Pr8cxPXn+PF2azehB36cP+D49PR7Tvdq+NwAAN1lJREFUk+fPd5MBDcKbMchfoszv2G4hCAKazWa1buCQJAmlabqw82oYhjSfz7NfwfgdlNFotPYiS9pHmPY7Mj6btjrsemT+ys/sVdmE77cM21aObXmN2+qbBprM+3XhtqCNMAw7s8rhPDl/q0/mcqujf6iKWZdlf9FlG6tKm3nlSpd1qwzoAk2huT1q67sYrfUeutxoWpdtrCZa3H+L77zLeb/GdtmrO/BFPvDvpil9wPezhTr7wJve7pfjOGcz926aZrvfsx88Y/N/Z6/5/YjNC11+Z9onJElSq82JzTNT+i6a3uvret7K9NisIcr8iOuykpD5Kz836QNr88HkcmzTa9xW3zTQtQdvERo9SCVdPFYm88SsT216Yptxm/1FV22sKtr9wzU9siiBLtAEWtujxr5LorXeQ5cbTeoyx2pzXSHPs43j2tplrxbwRT7wRHuL8deNBTrRbW93osXd6iXSD96G9Jrfj0i/YptPuaSpxY3pAy89GU2P2yY9b6MoonPnzjXuRyzzV35u0gdWhm2WY5te40V1q2u69uAtQqMHKVF3PvBE+Twx61Obnthm37m9vZ3F3WUbq4pW/3CtvtPQBZpEc3vUqktjvYcuN9rQVTZPiKKIdnd3cxraWnOsSq8eoSci+v0rV4ho7248L9Q/M5nQ1SShcDAgIsp9lnfMHxd3+6Tv/GHPyxbn8nv+zB7xRJSFu9+4ePFi9jmKIvJ9P/cdUd4iqe4FDv8KNhD5+8wzzyx4MvJx2/muyPSY9k8cN4dvxlWH16+ZvyZN/trNYctyHI1Ga+dpVZalvWu03Wng+q7NxoTrTBe6yvKkjv6hKmbfafYdXbWxqrSZVy50WbfKgC7QJNrbo1Zd2uo9dLnRhi5z3inbWhRF2Xvvy9YcWl4l6dUd+DKkd7v8XHTHXWL6wdsou3u/36hjcboKy3zg2/JkrBL3fuWgpLOPaC2bLnWVxa3Fn95EYzlq1EQEXa5o1QXc0FqO0OUGdLkBH3g3erWAL7KRW9fm7Uaa0sNheGAW6DZsdgpEdkuFOm3k2I7NZtFgxmMer8tGzpYe+d0yq4l14c0yytLaJKZNRlu/Lmqz5GA06tJoYcJ0qUvaOdp0dGEHaLO87MrergraNJljgpa7HWWWn5rQaIEJlrOsL+sKre1RUpetb91oKkdGW38vabocbWlfZivXhH10XfRqAV9mI0eUt5KTi3rze178m++826zjDgq2dzukbUiZNdKqSDu2MosGm03UupYTVW3xbBZ2dVp6sWWZ+a5NXeFXjZ+omff8izjIViaroNHChKjb/JJt2KajKztA2Y7MfkZjOWrSJPNL0/uGZZafmtBogQmWs6wv6wqt7VFSl61v3WgqR4mm/l7SRjmaaTfn2mYdl/2pxnrWq3fgi2zkLt3KYLaPY+s4otubz0mLudfjONuhns+Xx/ajTdwybHYKRNWtkVaFd3W0WTTIeObz+YLFxLqWE2W2eGbcRIuP+K9r6SUty8z8b+NXbtMyragONMVBtTJZBY0WJkyX+cVt2LSH6dIOULajIAhyO9dqLEdtmji/2u6PyjDrl8Y+QrMFJliO7Cc01S+N7dFE2+7gjKZyZLT195Kmy9GWdtvddt/3rf2ptnrWqzvwRTZyRJSzjyPas4F75FZmy43n2B7OPF8eO4jY7BSkbUiZNdKqyF21iywazHjMX4BX/UW4ii0ef2fmTV2WXtKyTMbRll2LaZlWZKnRJBp/0SfSp0ujhYmki/ySbdi0h+nSDtC0oDT7GW3lqEmTzK8u+qMiimxWNaHVAhMsx+YwoqF+aW2PEo3uLBIN5SjR1N9L2ihHM+3mXFvWcbM/1VjPenUH/ngQ0Pj0afrMZEI30nTh8fmHwzC7m35pNssW59F8nvnCF51/0JnNZhQEQfYOiO/7OdsQ+bmJCYKMn2jvV7Hvf//72XHTYqJOywkzPWbcprb5fJ7lzzpsbGwQ0d4jVjIO3/dbeVxNxk+0mM4mOchWJqvQZtm4oCW/zpw5Q77v03Q6pclkslC326SsrDSWo0ZNRLp0yfqlpc6bdFnnQX1orV+a2mMfQDnqw0y7XNdEUURf+cpX6BOf+ASladqL/vSO3d3d3S4FRFFEvxNFOfu2VTEfnbd9Ljq/j5w9eZJeuFXJ6oDtE6IoynZkNC0VbI9PPfbYY3ThwoXa4ieinAbb8SI9dWhZNe5z587R2bNnV453WV6vG76rhqbjtcV18uTJrOPsiqbq1br0RRdvAqPNio+ovfwqs8PRWI42TePxmMIw7MyVhMiuK4oi2tzcbLwvLKOonzxx4kSn+WXjc599gj7/5BNdy1jg07/y6/TlZ5/uWsYCnzr9OL3wwrc61aCxjyDSq8sG5hLFdDW/dKWJuUTRXJ7n/VWs7LTMcXr1CP0yiqzkihbpfV68N4FppyC/Mz83Gb+poSj+pm3k2o5bg21dm/FqfJeOCLpc0aqrS2AjVw/QBQ4iWuuXVl1a0ZpfWnW1QdFcvooFrDZ6tYAvspFzAY/MV8e0XODPTdpQSJsGm71bU5ZnZnpkGm06mkh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      "text/plain": [
       "<pdfplumber.display.PageImage at 0x1055fca00>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "im = p0.to_image()\n",
    "im"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### What data would we get if we used the default settings?\n",
    "\n",
    "We can check by using `PageImage.debug_tablefinder()`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-07-18T02:49:10.287332Z",
     "iopub.status.busy": "2022-07-18T02:49:10.287217Z",
     "iopub.status.idle": "2022-07-18T02:49:10.520427Z",
     "shell.execute_reply": "2022-07-18T02:49:10.520133Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<pdfplumber.display.PageImage at 0x1055fca00>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "im.reset().debug_tablefinder()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The default settings correctly identify the table's vertical demarcations, but don't capture the horizontal demarcations between each group of five states/territories. So:"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Using custom `.extract_table`'s settings\n",
    "\n",
    "- Because the columns are separated by lines, we use `vertical_strategy=\"lines\"`\n",
    "- Because the rows are, primarily, separated by gutters between the text, we use `horizontal_strategy=\"text\"`\n",
    "- To snap together a handful of the gutters at the top which aren't fully flush with one another, we use `snap_y_tolerance`, which snaps horizontal lines within a certain distance to the same vertical alignment.\n",
    "- And because the left and right-hand extremities of the text aren't quite flush with the vertical lines, we use `\"intersection_tolerance\": 15`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-07-18T02:49:10.522141Z",
     "iopub.status.busy": "2022-07-18T02:49:10.522028Z",
     "iopub.status.idle": "2022-07-18T02:49:10.523816Z",
     "shell.execute_reply": "2022-07-18T02:49:10.523579Z"
    }
   },
   "outputs": [],
   "source": [
    "table_settings = {\n",
    "    \"vertical_strategy\": \"lines\",\n",
    "    \"horizontal_strategy\": \"text\",\n",
    "    \"snap_y_tolerance\": 5,\n",
    "    \"intersection_x_tolerance\": 15,\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-07-18T02:49:10.525241Z",
     "iopub.status.busy": "2022-07-18T02:49:10.525144Z",
     "iopub.status.idle": "2022-07-18T02:49:10.678522Z",
     "shell.execute_reply": "2022-07-18T02:49:10.678255Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<pdfplumber.display.PageImage at 0x1055fca00>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "im.reset().debug_tablefinder(table_settings)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-07-18T02:49:10.680095Z",
     "iopub.status.busy": "2022-07-18T02:49:10.679987Z",
     "iopub.status.idle": "2022-07-18T02:49:10.868001Z",
     "shell.execute_reply": "2022-07-18T02:49:10.867686Z"
    }
   },
   "outputs": [],
   "source": [
    "table = p0.extract_table(table_settings)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-07-18T02:49:10.869623Z",
     "iopub.status.busy": "2022-07-18T02:49:10.869519Z",
     "iopub.status.idle": "2022-07-18T02:49:10.871486Z",
     "shell.execute_reply": "2022-07-18T02:49:10.871246Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['NICS Firearm Background Checks', None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None]\n",
      "['November - 2015', None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None]\n",
      "['', '', None, None, None, None, None, 'Pre-Pawn', None, None, 'Redemption', None, None, 'Returned/Disposition', None, None, 'Rentals', None, 'Private Sale', None, None, 'Return to Seller - Private Sale', None, None, '']\n",
      "['State / Territory', 'Permit', 'Handgun', 'Long Gun', '*Other', '**Multiple', 'Admin', 'Handgun', 'Long Gun', '*Other', 'Handgun', 'Long Gun', '*Other', 'Handgun', 'Long Gun', '*Other', 'Handgun', 'Long Gun', 'Handgun', 'Long Gun', '*Other', 'Handgun', 'Long Gun', '*Other', 'Totals']\n",
      "['Alabama', '18,870', '23,022', '22,650', '859', '1,178', '0', '14', '15', '0', '2,179', '2,307', '11', '0', '0', '0', '', '', '13', '14', '0', '3', '2', '0', '71,137']\n"
     ]
    }
   ],
   "source": [
    "for row in table[:5]:\n",
    "    print(row)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Cleaning up the data\n",
    "\n",
    "`.extract_table` worked with our custom settings, but the table it detected contains extraneous headers and footers. Since we know that the `Alabama` row is the first, and that there are 56 rows we care about (50 states + DC + 4 territories + the \"Totals\" row), we can slice away the rest:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-07-18T02:49:10.872960Z",
     "iopub.status.busy": "2022-07-18T02:49:10.872879Z",
     "iopub.status.idle": "2022-07-18T02:49:10.874656Z",
     "shell.execute_reply": "2022-07-18T02:49:10.874404Z"
    }
   },
   "outputs": [],
   "source": [
    "core_table = table[4:4+56]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The first row:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-07-18T02:49:10.876117Z",
     "iopub.status.busy": "2022-07-18T02:49:10.876037Z",
     "iopub.status.idle": "2022-07-18T02:49:10.878169Z",
     "shell.execute_reply": "2022-07-18T02:49:10.877908Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Alabama • 18,870 • 23,022 • 22,650 • 859 • 1,178 • 0 • 14 • 15 • 0 • 2,179 • 2,307 • 11 • 0 • 0 • 0 •  •  • 13 • 14 • 0 • 3 • 2 • 0 • 71,137'"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\" • \".join(core_table[0])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The last:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-07-18T02:49:10.879624Z",
     "iopub.status.busy": "2022-07-18T02:49:10.879544Z",
     "iopub.status.idle": "2022-07-18T02:49:10.881641Z",
     "shell.execute_reply": "2022-07-18T02:49:10.881410Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Totals • 804,006 • 671,330 • 636,903 • 26,597 • 23,015 • 1,281 • 218 • 249 • 13 • 29,905 • 38,487 • 102 • 1,656 • 533 • 44 • 0 • 0 • 1,067 • 905 • 65 • 31 • 45 • 5 • 2,236,457'"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\" • \".join(core_table[-1])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now, let's turn those rows into dictionaries, and also convert strings-representing-numbers to the numbers themselves, e.g., `\"18,870\" -> 18870`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-07-18T02:49:10.883079Z",
     "iopub.status.busy": "2022-07-18T02:49:10.882999Z",
     "iopub.status.idle": "2022-07-18T02:49:10.885052Z",
     "shell.execute_reply": "2022-07-18T02:49:10.884823Z"
    }
   },
   "outputs": [],
   "source": [
    "COLUMNS = [\n",
    "    \"state\",\n",
    "    \"permit\",\n",
    "    \"handgun\",\n",
    "    \"long_gun\",\n",
    "    \"other\",\n",
    "    \"multiple\",\n",
    "    \"admin\",\n",
    "    \"prepawn_handgun\",\n",
    "    \"prepawn_long_gun\",\n",
    "    \"prepawn_other\",\n",
    "    \"redemption_handgun\",\n",
    "    \"redemption_long_gun\",\n",
    "    \"redemption_other\",\n",
    "    \"returned_handgun\",\n",
    "    \"returned_long_gun\",\n",
    "    \"returned_other\",\n",
    "    \"rentals_handgun\",\n",
    "    \"rentals_long_gun\",\n",
    "    \"private_sale_handgun\",\n",
    "    \"private_sale_long_gun\",\n",
    "    \"private_sale_other\",\n",
    "    \"return_to_seller_handgun\",\n",
    "    \"return_to_seller_long_gun\",\n",
    "    \"return_to_seller_other\",\n",
    "    \"totals\"\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-07-18T02:49:10.886455Z",
     "iopub.status.busy": "2022-07-18T02:49:10.886375Z",
     "iopub.status.idle": "2022-07-18T02:49:10.888285Z",
     "shell.execute_reply": "2022-07-18T02:49:10.888054Z"
    }
   },
   "outputs": [],
   "source": [
    "def parse_value(i, x):\n",
    "    if i == 0: return x\n",
    "    if x == \"\": return None\n",
    "    return int(x.replace(\",\", \"\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-07-18T02:49:10.889600Z",
     "iopub.status.busy": "2022-07-18T02:49:10.889523Z",
     "iopub.status.idle": "2022-07-18T02:49:10.891417Z",
     "shell.execute_reply": "2022-07-18T02:49:10.891183Z"
    }
   },
   "outputs": [],
   "source": [
    "from collections import OrderedDict\n",
    "def parse_row(row):\n",
    "    return {COLUMNS[i]:parse_value(i, cell)\n",
    "        for i, cell in enumerate(row)}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-07-18T02:49:10.892762Z",
     "iopub.status.busy": "2022-07-18T02:49:10.892683Z",
     "iopub.status.idle": "2022-07-18T02:49:10.894691Z",
     "shell.execute_reply": "2022-07-18T02:49:10.894463Z"
    }
   },
   "outputs": [],
   "source": [
    "data = [ parse_row(row) for row in core_table ]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now here's the first row, parsed:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-07-18T02:49:10.896069Z",
     "iopub.status.busy": "2022-07-18T02:49:10.895988Z",
     "iopub.status.idle": "2022-07-18T02:49:10.898297Z",
     "shell.execute_reply": "2022-07-18T02:49:10.898049Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'state': 'Alabama',\n",
       " 'permit': 18870,\n",
       " 'handgun': 23022,\n",
       " 'long_gun': 22650,\n",
       " 'other': 859,\n",
       " 'multiple': 1178,\n",
       " 'admin': 0,\n",
       " 'prepawn_handgun': 14,\n",
       " 'prepawn_long_gun': 15,\n",
       " 'prepawn_other': 0,\n",
       " 'redemption_handgun': 2179,\n",
       " 'redemption_long_gun': 2307,\n",
       " 'redemption_other': 11,\n",
       " 'returned_handgun': 0,\n",
       " 'returned_long_gun': 0,\n",
       " 'returned_other': 0,\n",
       " 'rentals_handgun': None,\n",
       " 'rentals_long_gun': None,\n",
       " 'private_sale_handgun': 13,\n",
       " 'private_sale_long_gun': 14,\n",
       " 'private_sale_other': 0,\n",
       " 'return_to_seller_handgun': 3,\n",
       " 'return_to_seller_long_gun': 2,\n",
       " 'return_to_seller_other': 0,\n",
       " 'totals': 71137}"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Sort the data\n",
    "\n",
    "For demonstration purposes, let's list the rows with the highest number of handgun-only background checks:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-07-18T02:49:10.899811Z",
     "iopub.status.busy": "2022-07-18T02:49:10.899727Z",
     "iopub.status.idle": "2022-07-18T02:49:10.901648Z",
     "shell.execute_reply": "2022-07-18T02:49:10.901396Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Totals: 671,330 handgun-only checks\n",
      "Pennsylvania: 62,752 handgun-only checks\n",
      "Texas: 56,941 handgun-only checks\n",
      "Florida: 50,796 handgun-only checks\n",
      "California: 41,181 handgun-only checks\n",
      "Ohio: 34,878 handgun-only checks\n"
     ]
    }
   ],
   "source": [
    "for row in list(reversed(sorted(data, key=lambda x: x[\"handgun\"])))[:6]:\n",
    "    print(\"{state}: {handgun:,d} handgun-only checks\".format(**row))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Use `extract_text` to extract the report month\n",
    "\n",
    "It looks like the month of the report is listed in an area 35px to 65px from the top of the page. But there's also some other text directly above and below it. So when we crop for that area, we'll use `.within_bbox` instead of `.crop` to select only characters (and other objects) that are fully within the bounding box."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-07-18T02:49:10.903098Z",
     "iopub.status.busy": "2022-07-18T02:49:10.903000Z",
     "iopub.status.idle": "2022-07-18T02:49:11.063940Z",
     "shell.execute_reply": "2022-07-18T02:49:11.063664Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<pdfplumber.display.PageImage at 0x106986e60>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "month_crop = p0.within_bbox((0, 35, p0.width, 65))\n",
    "month_crop.to_image()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-07-18T02:49:11.065555Z",
     "iopub.status.busy": "2022-07-18T02:49:11.065455Z",
     "iopub.status.idle": "2022-07-18T02:49:11.071225Z",
     "shell.execute_reply": "2022-07-18T02:49:11.070966Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'November - 2015'"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "month_chars = month_crop.extract_text()\n",
    "month_chars"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "\n",
    "---\n",
    "\n",
    "---"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}