VAE-Demo.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Variational Autoencoder analysis. MILES stellar library\n",
    "\n",
    "Data download: http://svocats.cab.inta-csic.es/miles/index.php?action=credits\n",
    "#### ACKNOWLEDGMENT\n",
    "This work is based on data from the MILES service developed by the Spanish Virtual Observatory in the framework of the IAU Comission G5 Working Group : Spectral Stellar Libraries."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from astropy.io import fits\n",
    "import matplotlib.pylab as plt\n",
    "import numpy as np\n",
    "\n",
    "import os\n",
    "from pathlib import Path"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import tensorflow as tf\n",
    "from tensorflow.keras import layers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "root = '## YOUR FOLDER PATH TO THE DOWNLOADED SPECTRA ##'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Checking the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "Header of the spectrum :\n",
      "\n",
      " SIMPLE  =                    T / file does conform to FITS standard             BITPIX  =                  -32 / number of bits per data pixel                  NAXIS   =                    2 / number of data axes                            NAXIS1  =                 4367 / length of data axis 1                          NAXIS2  =                    1 / length of data axis 2                          COMMENT   FITS (Flexible Image Transport System) format is defined in 'AstronomyCOMMENT   and Astrophysics', volume 376, page 359; bibcode: 2001A&A...376..359H COMMENT ----------------------------------------------------------------------  COMMENT ************************** REDUCEME HEADER ***************************  COMMENT ----------------------------------------------------------------------  HISTORY Date: 06/10/**                                                          CRPIX1  =                 1.00                                                  CRVAL1  =            3500.0000 / central wavelength of first pixel              CDELT1  =             0.900000 / linear dispersion (Angstrom/pixel)             OBJECT  = 'HD148513'           / Object name                                    FITSFI  = 's0597.fits'         / FITS file name                                 AIRMASS =              0.00000 / Airmass                                        TIMEXPO =               -999.0 / Timexpos                                       END                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                              \n",
      "\n",
      "\n"
     ]
    }
   ],
   "source": [
    "file = \"/Users/adrian/Documents/FITS_Library/Miles/miles_spec_fits_s0597.fits\"\n",
    "\n",
    "sp = fits.open(file)\n",
    "print('\\n\\nHeader of the spectrum :\\n\\n', sp[0].header, '\\n\\n')\n",
    "\n",
    "flux2 = np.zeros(sp[0].header['NAXIS1'], dtype=float)\n",
    "\n",
    "flux2 = np.array(sp[0].data)\n",
    "flux_norm = flux2/(np.nanmax(flux2))\n",
    "\n",
    "wave2 = np.ones(sp[0].header['NAXIS1'], dtype=float)\n",
    "for i in range(sp[0].header['NAXIS1']):\n",
    "    wave2[i] = sp[0].header['CRVAL1'] + i*sp[0].header['CDELT1']\n",
    "    \n",
    "flux_ok = np.reshape(flux_norm, (sp[0].header['NAXIS1']))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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gTSh5CNajwmcB/E5aHuI8LKG9H4AlsCI718OKGAdxEoB5QojtsCYUfth+ZO19ZPxXWBHwlQDmw5pApnMhrEfGa2BdLP5c+tBdfB7AD4UQbbAmD91Woj0A64IPYA9Y50vnLPuYtsCKbG8EcICUchUASCkfBvA9WDPYV8OKcH3YXtcGSxy91z6et2BdsAArQvkKLAvLAwgXdKHYlpPTYQnD9bAibV9HhN8rKWU7LMvE0/Zj70Ng+XWft4/7TgBfklIuQQ1SEdrshJVhYA2sz9oXAJwpo+X2vsfeXv27NKDd32Gd58X2vx8HtAOAX8NK+7UB1uczasq3v8Ga8OZEn4WVfWC7lPId0wa2V/fhMiKA34Rl03hOWDaTh2BFzYGA7zVCbhArRUr5H1hPnm61x/M6rBsHwLIe/BHWb9AyWN+hn5fo8nwAS+2+LoDtL7dZY/e1CtYkvwu0m4LA8yKlnA1rIu2vYPmJH4f29CguMb87QYSdmz/Amsz9Gqzzebe9DLBu8n5vb7cS1u/vyVJKNVlvOKz3egcsP/QNUsrrPPs+H9ZcFp+tRVgZNY7wLg/gNwA+IKzsK1eVOCbShxGVPekgpDYIIe6BNVGqJhfIcrCjgWsA7Cql3FqqfU8ihPgQgA9IKT/U02NJKkKI+bDO0fyeHksSEVa6tHWwPOEqxeI3AAyXUn6jRweHZP5GxEVY6Rlvsm0JhJA6oiYVhwipAo+hOFEkKQyFNVs+0eLZZgusyBQxIIRohOWVpHgO5nMAXlDi2WYprChiEngMyfuNIIT0ERiBJoSQbkAIMQGWzcfEjCBbRE8ghFgKawLX+6SUPVJFsd4QQsyD2ULxWSnlzYblNYlA23YLEydLKZ8MWBen/yNg2Sh8aBMcCen1UEATQgghhBASA04iJIQQQgghJAYU0IQQQgghhMSg7iYRDh8+XE6aNKmnh0EIIYQQQno5c+fO3SClHOFdXncCetKkSZgzZ05PD4MQQgghhPRyhBDLTMtp4SCEEEIIISQGFNCEEEIIIYTEgAKaEEIIIYSQGFBAE0IIIYQQEgMKaEIIIYQQQmJAAU0IIYQQQkgMKKAJIYQQQgiJAQU0IYQQQgghMaCAJoQQQgghJAYU0IQQQgghhMSAApoQQgghhJAYUEATQgghhBASAwpoQgghhBBCYkABTQghhBBCSAxqJqCFEDcIIdYJIV4PWC+EEFcJIRYJIV4VQsys1VgIIYQQQgipFrWMQN8I4KSQ9ScDmGr/+wyA39dwLIQQQgghhFSFmgloKeUTADaFNDkdwF+lxXMABgshxtRqPIQQQgghhFSDnvRAjwOwXHu9wl5GCCGEEEIMPPv2Rky6+G6sb+vs6aH0aXpSQAvDMmlsKMRnhBBzhBBz1q9fX+NhEUIIIYQkkz8+uRgA8PLyLT07kD5OTwroFQB20V6PB7DK1FBKeZ2UcpaUctaIESO6ZXCEEEIIIUkjmy8AABozTKTWk/Tk2b8TwEfsbByHANgqpVzdg+MhhBBCqsrOrnxPD4H0MrpyloBuSJse5JPuopZp7G4B8CyA3YUQK4QQnxRCXCCEuMBucg+AxQAWAfgjgM/XaiyEEEJId/O3Z5dij+/fhzVbO3p6KKQXIW2za0pQQPckmVp1LKU8u8R6CeALtdo/IYQQ0pP8+emlAIAtO7swelBzzw6G9BqUbp6zdBMOmjQUqRSFdE9AAw0hhBBSAzrtR+3SOD2ekPJI24L55w+8iUcWrOvh0fRdKKAJIYSQGqAEdC5PBU2qh27dWLG5vQdH0rehgCaEEEJqgMqWkC0Uengk3cOP75qPKd+6u6eH0evRLRsF3pv1GDXzQBNCCCF9GZUtIZvrGwL6+qeW9PQQ+gS65blAf1CPwQg0IYQQUgNUBDrHMCGpEdTPPQcFNCGEEFIlfnzXfLywdBM6snlHOCshTUg10HNuMALdc1BAE0IIIVVASonrn1qCD177LB6Yv9ZZ3hsnES7f1I4n3lwPAPjWv1/DMT9/zFknayjqNu3owqJ1bTXrH7COrSvBthuhTSLMd6OAXrZxB156Z7Pz+vE312PTjq5u23/SoIAmhBBCqkBes2q0NhenGHkj0Ds6c5h08d2469VV3Ta2anPsLx/HR26YDQC4ZfY7WLxhh7MuXyPLipQSx/7iMRz3yydq0j8AtHVkccSVj+K7d7xWs31Uih6B7s5iKu/+2WN4/++eQaEgsXxTOz56w2x85Ibnu23/SYMCmhBCCKkC2zpyzt+6sMl6BOWKzTsBAL956K3uGVgNCIvQ1ioq+ocnFmNze7YmfSt2Zq3S6w+/UR/5le99fQ22d+ZKN6wiP71/AY648lEAwKJ127t130mCApoQQkivIJsv4OpH3up2QaH44LXPOH932EIMAHKeCLTS1r3P2GFRq6x9/5y7ojYdAyiomxz7v3qZ+PnK8i342m2vdOs+//3iSufvvlxOnAKaEEJIr+C2Ocvx8wfexB+fWNwj+397fdHGoEdovRYOJTlq6RXuSXIxFHQhhlBtTNdGsqzeuhNTvn0P/v3iCnTZ71WQDWXdto6ajCEOXs26cG1tPeFednYVbw6rJZ+feXtDrM9CEqCAJoQQ0ivYutN6vK9Hf3sKPTtC1jOJsDdFoE1CM6p+XrnFEq63z1keqX1jpihZqumzfvmdLQCAe15b7bxXpuwWs5dswkGXPRzJu76jM1fDiYhu2bqjm5+46OdGVCEC/djCdTjnj8/jj09aN75SSryxelvF/dYaCmhCCCG9guZMGkAyBLSO18KhBJCUVsaH8//0PNo6auvtrRWmFH1RPdBv2/7Z/74cbTKlHoGuZmpANdpMKuX0mzYIw7fs7B9PvbWhZJ97XnI/zru+NhPsvEOr9Y3YXa+ucn2n3ALa+n9HZ67kExUpJX5+/0K8vd7tm16z1Yrqq+X/eGE5Tv7Nk3jczvKSVCigCSGE1C0f+P0z2PuS+wEADWnrat4T/tVtHgGsiwz/eKzXUkr87P6FePKtDXhQS3tXT5jOdVQLh/LPlsplXChI5PIFpDTFUk0BrSr75QoSS+xsIqbAakujdYPW3hXtBm320k1VGV8paukEevGdzbjw7y9h+vfuc5Z1ZIvnXgDYuL0Te15yP3732NuQUuJb/34Vc5dt9vW1fnsnrn50ET7yp9mu5c4TGfs4FqyxblTe6mZrSlwooAkhhNQtc5ZtRpt6hG1fibtbPu/ozGGfSx9wLdM1ZJdH7KmXBVkU3oP6NdR0jLXi2sfe9i+M+AYoQVxKQJ913bPY7Tv3uiasVfMeqcu2bQgBfPZvcwEA6ZRfQav9RxXQtcI/stp94kv5klMpgTW2L/yuV1ejI1vALbOX49zrn/O1VW9zqactPXkjHIdM6SaEEEJI8umpfACmYhL6pd9bSEX5d6XWql6zGTy/ZKNvWVTdI+x3LChg/ebaNizf1I4XllrRTP0cVXMCZqdtT9BtG973Y/6qbfjSrS8DANq7eibLSxC1jEA3N6RD1wtt/wLFz7TpPVWecN+cALhvfNP2nVWt8olXC0agCSGE9ArU5ba7k1uY0ua5LByeCLRaVyhEtzEkFZPGkZD4+J9nl8yGooK8Qcd+wq+ewCf/Msd5rWvaggReWLrJlRGiXNQTAlPUWfH6yq3O33HtI5Muvhu/eGBheYMz0J33WqU+lkII5/1LpYqi1/Seduas92pnNo8bnlqC215Yjs07unDl/Qtc26gIdDVtOrWAEWhCCCG9guLj5u4Vo6YsCHqE1FtIRY+sKS2U8GBbIMYsHBJ4dOF6PLpwPT595BTf+g3bO/HmmjYnq4ZXbC1Ysw0n/fpJ33Z6xodVW3big9c+i/fuOxa/PXv/io6h0/b0pjQBvdMzEVUX194Iqhf9vVfC+7ePLMIZM8dj8vD+FY0VKEZsnf1V3GMwpfzsKVEU2SkhnMizaSKp7p3+4V3zAQANdwjnfKqbyYwdgfY+uUkajEATQgipe6SUPeaZbDMK6OLfWfvR9aYdXbj0znlYtWWn3UZqE6iSLRbiUMo3e9YfnsU51z/viG9dGE+6+G6jeAaAvCbmHltoVQp8dcWWCkerRaA1Xer1OWe0leu2deDK+xa4rBxPvrXeeV/1w3/Pb59y/j7654/hucV+y0ul1Oqz05nL45pHDR53F8L53gkUhbNpSN65AID7ZkRZaDJ14oGmgCaEEFL3vL1+uyPcqqUn2jqyOP2ap/HMovC0ZTc9u8y3TL/25woS+YLEzB89iBufWYrP3fyiNU4UxaNEvKIitaQrV8AJv3ocT7y5Hrl8wUkzZqIh7fcTXPVweIlyVXBGCaqojgQ9gvnzB94EEC1KOX/VNkdkLlzThjteWol5q4qWDCcCrQn5IS3uSZ16BHrV1g787rG38fSijdjRmcP6tk6c/6fZOP6XjwMItx5UI7NEd6Wxu/HppXjojfDsMBu2d+JzN821xyVCrUhfuvWl0L7UpNKMfa7ztSppWSUooAkhhNQ9x/3yCUeQVUtAv7ZyK15ZvgU/vd/yr770zmbc+Yo/Z/HDC9b5lq3Y3O78nc0XjKKqIKUjHv/xwnJM//592Li9szqDr4C12zrw5trt+PZ/XsONzyzFIZc/jEXrtuP6JxejvSuHF7T0bCbf8O1aye2wm4KN2/2TL8PYdYTf/lBqotncZZtwylVP4k9PLQEAnPjrJ3DRP17GqVcVI8NdeSvaLAFMGNoCANhr3CBXPxnDcbZ1ZHHyb57EgT95CACwoyuPu15dhZuffydwPCriesdLK53CP3HpLg901AjwujbrMyuE+/2edPHduPK+Bc7r5Zt2hvajbibVZ6qUVaanoQeaEEJIr+AGWyTJKsTk/vvySqeQQ5Pt1X3/754BAJy271in3X2vr3Zt19qcQVtHDr+z07tlUgK5vDSKeimLUc9HbBG+rq0TwwY0VTz+Sshok7jUOfjdY4vw7xdXYl1bJ0a2FsfXUKK8dle+gOZUMZODLngv+sfLAKILwntfX+NbVsqju2KzJdpeXr4lsI0Satl8wRnfwjVteH7xRhw8ZRgAc5aUbL6Adza1u5Zd+PfwKGuuUMCSDTtw0T9exlG7j8CNHz8otL0JrwdajfnxN9fj1w+9ib9+4iC0NleWFvGldzbjZ/fHm/iYEsLnff7dY29jW0cWnz1y1wjbu18zCwchhBDSDWw0pJMrly/d+jL+/eJKAO4KeIq5yzajK1fAs2+7Pa3jBvdzvW7MWNXtTEKvIP3iMQmZB5QG0iOA2zssv29bRw4Dmoqxt1Ke3unfu89ll1A5g3W8gjCItg6/19wrsv45dwXmrdqKt9a24eXlW0InpKmsEKqPvG21AawbmbOuK+YyNpWsLqdUd64gHTuJKtoSG89Q2jpyuPTOebj8njfw0jtbsDrEchOVJ94sXW3RNCyT6L3puXfw1dteKbm9uklRke+oBXl6CkagCSGE1BVtHVm0deQw1iNWFeUGrjqyeXzh5hfxvffMcC33+nzfWtuGM3//DD72rklOJglF/yb3ZbUxk0JWq3Dnxh+ZToKAViIomysUU+7Z48ykhCsaG+Ux+52vrMKeYwdhR2cO37/j9cB25UyG877XX7vdLdT+cP4BAMx2hJ1deTRl0s7x3vv6Ggwf0Gjcj0nid5YjoPPSOX9BKfiklPj2f17D+/cfj4MmD3WtKxQkXn5ni2+bG59Z6vxdjchtOWkVLQtH+f05AjpvzhedNCigCSGE1BWfv/lFPPnWBrx92SnG9eVOxnvyrQ1GP7NXJKtI9/xV27DfhMGudarcs6IhncKba9pw2tVP+8cp/XaTckRZtVFi05rYaC1TAiiTFq50b1FosKPANz+/zHh+lTotx7teSnTfP8+yfeQKBV8+bjUpURecGzy+7DVbO1CQZlOQKatEKXIBTyMWrWtDJpXCpOH9kc1L3DJ7Of7xwnIsvvxUAMDfn38HyzbtwOB+jVi5JdxLXI6AzuYLyKSEa1JrXITBwhFve8sSdeMz1qRc7/uVNGjhIIQQUlc8+Zb1eFk9gvdSbvor5XX2ilivJgiTj14B3ZRJYelG86N6KU0R6OpG3bL5AiZdfDdumR08sU2xeqslzFT2g+2dOUc4q5Rt/RrSPq9qKdSksM6sWRCp7soRX9s6cvjbc8uckuhelA0HAG59Yblrncr1HPZ5OeTyh3HYTx8xZoQIOp4wsgXpy3sMWJNgj/r5YwDgi/oDwLf/8xr+8PhiLFizreQ+4n7+12ztwNTv3Oue/FjGe5ES4eK9VLl6KYELbnoRG+yJtEmPQFNAE0IIqUuCLrDlPsIuCmi3MA8SJBLSJ6ZbGj0WjnQqMFK5uT2LB+a704SV46sNo73TOpYr7l0Q2u7uV1fj0MsfwTNvb3AdrxJzzy22Mm94LRxRaEgLbNjeiTteXhnartxqjN+74/VIHluvZeJoJVhLfF6kBF5evtW3/K/PLo08RkVHNu/4sYNuRMJsPFE+2nHTv6mJkP95qfj+lBWBRnAaO4ngG16FNzJfqn1PQwFNCCGkLgkSynF9xHOXbcKki+/GS3amBq8G8Apo14QyjwjyRqAXb9gRK5gXJKC3d+ZwnyELRVTyBYnOXB5n/O5pJw3d6q07cchlD2Px+u2Yu2wzAMuWok+481bkK0jEtnBk0il89m9znfzPXl5ZsQVzl22uKP3gg/PD8xU/tnA9NrebJ5lGidhe+7i/oMjm9vhp6LZ35JC1haJpYiIQfgMY5SYjbgU/NUdW77uc90Iv5e1l2cZ2Vx5vE96vbRLsTGFQQBNCCKlLgmbpx41AP77QStX2hJ2yzatrgryYJpExrL95ElpUvvD3FzFHy7Os+M5/XsMFN83FwjXxCnEoW0SuUMDKzTvx4jtbcNGtLwMA/jlnBdZs68Dtc1e4vNj6+dviEYkbtnfii7eEp2rz0phOYXWIb7cjW8CZv3+m4slvT761PnS9N9qvKDfyXQ65gnQqU5r080Pz14YK+igTLeOex7TtUX/pnS3YbPv7y0kFKSAC970hQn5zb+S8I8sINCGEEFIWHdm861HuMs1PHHSxjusBVc2fsVPSeSOD3oieU34b/hRsE4b5i33E5buGTBWrt1ipyTbFTNWnbjLyBenkbFZRZVWCfGBzg3MzIITAFq3Ah8qjrPD6iKMQNAnP1K4Slm1sD10fdCPU3SWj1f5MVphv/+e10Gh6FHdGJcfzsl0avZy34qlFG1yly+PiHTc90IQQQkiZ7PODB3DklY86r9/9s8ecv99/zTPGbR5/c33J/MQ6XnnnlTVZj2rR1zc3uC+jQWnQ4qCLl/mrtmGvS+53xvDDu+bH8oaqoecNvmZlCUl5HCkfvWF2eQMPIKqgq1THlrJmB3XfnSXU8wXpWIzUedctR+vaOvGtf78WuH2Ucxk3f7J+Y/GwXbq7J6Sr931IQkrHMCigCSGEJBIpJbpyBazdZn78ayrKofh2iAjx78f92hsZ9Ea61Sspi4U3Tt5rNN6zzxjfJMJy0AX9+3/3NLZ35vCSnfv3jdXbcIuWLWH2Esu//eI7m4196WJKCWd1vGrymH68tSgTnS+YKzF6qVTIPr0ovPiHqew4UPuCHfpN1f9eXYWP/fkFAMUnHRf/K/iz+vb67a7XUcYa93D0SO9Nz72Ddds6At+vsw+aEK/zCAxpacCU4f19NwdxvdzdDQU0IYSQHuXPTy/BdU+4J2nNXbYZM75/f9l9FsWixE3PLQssWmG1db/2VweUrijdB6991rWuMZ3C7887AFefM9OXM7ocdPEyebjfErJNq8infNtPvWUWj+7Is+rfbEmpFfmCjOSprdTCcc9rJSZZBnRf60CnXslSP0R13v/3yqrAbV+1LRWKNRGqDMY9j95I77q2TqPX+rPvnoJPHj45Vt9R2NyeRTrl908zAk0IIYSE8IP/zcdl97jTrP3wf/N8GSDioK7F/3lpJb57x+u47J43Att6xd0znvLcuXwBlxvSwElYE5/0yKap7Hdc9NGYxJB+XtS+g/zgJuuGt6UQoqwqgFGJOqmt1k6KoO7jpn2LS1ND2rg8JQQ6svnQgiyZVAqHXfGI83pBhEmkcU+jP31cwfi5+8DM8cjETQIeEaOATngpbwpoQggh3YaUEm+uDRYBUko8vWhDxVYIJQC+YucHXuuxezz8xlr8/P6FyOYL+NOTS0L7yhUkHpjvj25KaUWgM1qp78aMW2B88Zjdyh672oeX9s5iBDoTUUDrItlvWSmK17g5nqOQL8hI4rjW2TBU/8MHNLmW19opEHRTtWzjDtfTDBP/d8tLJSsPeol7M9SV87f/o+E7MbBfQ6ANphKOnzHKLKAN40oSFNCEEEK6jaseXoQTfvVEoIi+4+WVOPf65/FsjEmAXz5uGiYMbXEt80bKvP7KT/5lDq5+dBEeWbCu5MSsXKEQKILyBenaV2PaHW3cZ/zgUsP3ofRPLl/AW+u2+9b/5dllzt9pW7wHRev0Y1P9eoWq0JbFzfEchbyUkURdFAFdyfBU+rjbLzjU5UvOFwqe9zC6NGpIlx5Qv0ZzBDqbl3htpb9AS7kcMXU4gPiRfK9VImgC7iCPgB43uF+s/XzzpOlGAX7olGHIpPxlwNds68DyTeGZVXoSCmhCCCE154grH8GXbn0JDy+wZvlv16KoOkETBsNICb+w8l6og/yUUYTd8k07jUVAJCxxndEEV4MnAl1OxE6NaWNIyjrVxolAR6jKWPRAu9sIUawgl65RBDqKjSNKm/ftP864/NApw3wZUbwoq0RaCLxvP6ufH981H08v2uik+APg87Ffc85M5+9dR7g96c0Zszge0FR8gjJqYJOxTbVRTw/iRvK9Fo6f3b/Q1+aNH56E5oa060ZjRGu849pjTKsvww1gRbYb0iljESFV4CeJUEATQggpm0Muexjf+U/pjBfLN+3Ef19e5VxAg2RavwC/aBgpQ3npTCra5a3SeUq3zF7uuvB7o5flRHSjyJ92e1KkOm5v9E7hWDhQFFa+CLQov/x5FKIK6Ch5f4M8uGMGNfsq3f3w9D1drzu1AiY77PN3/VOWVaHBZcNxv4en7jPG+XtAc4NrXZC/Wf84lvOZLgd1sxbXCfP7x/xVFr0om5J+Qxj3E5NOCeM2zQ0p9GtMO59pnVo8EakWFNCEEELKZs22DtyspVUriRJ8AYIqKItFWKQ4JYRPkUeN/FYjhZlevrvBM/5yIrqqIEhQWW99nUqFFnR6cgGTCPXzuaGt0xGXeSlxyJShscccRtQ0dp/565ySbTIB9oqB/Rp8y/bbZbDrdZudvSSdEvB2k4po4fB+rPo1mtuqZhOHtXSbCFSf+bgR6DfX+m1Cvr7tz5nrxtTez2/P3h9fO2Gab5u/fuIgYx9eGtIptDSmsb7N//SpFk9EqkXlCSsJIYSQiBSLR8S7yHfmCmgOiOSlU34BmYngTQUQmt6uJFJiQFMGp+xdjFD6ItBlXv+z+YIjao3rC+5iHEHkDR5oSLewvuqRRVobGTuPcCnyBRkYIdcx+b29mCLQE4a2oMlw4xX0FCIlhD91ofZ3WCrCBk+fQRYOhZTdJwIzZUago6BuAtJpfwQ6kxK+G5tvnLQ7jpw2wteH6Ua4IS3QkE4ZJ0tWIalNzaCAJoQQ0m0oy0GwJ9m8XZiATgn/DH6vpcNbnltxcYyCKyY6snmXeKuGhQMALvjbXDy8YF3gelVkQvUeFKEvZuFwWzg++7e5ge3zUhqzIpRLriCrlmEjSBSbBHTQBL9UypQLu9g2NFWbZ1VDgMLT+6tFZhMTqRgR6J1deex96f04fsaoWPvQz43aTSolfOfs2On+foOeCjWkU9hjzEDc9epq37oaJ2apiARre0IIIb0BfSKQqXyxTlDBjc6QnNAmAZ1JCSzZ4J/4V01yBYlcQaJJi0J6BXO5ab/CxDPgP39rt3Xiy/94GR2e82SKQBekxCMB/Rfs6HSl+az1CX2FQvWi2kGi+L+GYiRB5z4thG88esvQaHmJojuK8UP64cyZ4/H782Z2m4UjTgT69rnLkStI3Pt6ieIzAfsAit/VTEr4ovamj0/QjUQmlXLZoFzb0ANNCCGkr3LpnfOcv4UTgfZf5cO8smF2BtM1ds6yzTj6548V9xttqLFQk56CLv5AsGiYNmpARftW508JjPvmrcF/XlqJRz3C2FjKO6RfS+zKSOnZghg9sBl//cTB2hiiWTiiECSKT95rjG9ZuIXDP5FSEVZC2rtd0PubTgn84kP7Ys+xg7rNhhDHA93WYc6CE3UfgDcC7bUuWe30VHdB711jRrhuQnUGNvu97UmBApoQQkhN0f3I6i9TBDqbLwSKO29kVSeVErjhYwfiY++a5EofVmvaOrIAgNbm4H0GiYavnrB7RftWwtjbe6tHcERJY6dTkFZUvbGEtzeMlHAfd0EGWzimj26N1bfJXiEEcLBh4mOQDz6V8nug9TNpmlh69xcPx7XnzfR9PoMCpPri7vJAp7UJpUs27MCld85DIcCGE3aTEIZuTVFvaVoI37lW7/8jX3u3b3xeMqlUYArCWlbIrBQKaEIIIWXhre4XhC56VGRKiRT9AhlW0jg8Ai2w++hWXHranvjX595lbFMLDbNhu5WneXBLY2CbIIFVqS/WEUCGfnL5gnNei2nsopXrzkuJfKGAxgoi0EIIl4DOhTxZCPKmB2HKwiGlWVgHCmjhF2b69ibv955jB+GkvcbgsF2HAQCG9rfe8yjj74ksHJ+7aS5ufGYpnn57g6/dgjXb0N5VXgRa8d59x7omEXqfWKjPt9veZE7p15BOBUaga13evRIooAkhhJTFwZc9HKmda0KVfdVRZXp1YXzDU0vwUkDhhNAItNb/7gERzVpKmF2GBldkC37EX9k+1c2Gt/dtHVns9p178YcnFgMwR6DDKNg5m8MyUZRCCPeNQ1AUFIh/HkyiWEIa7RpBFg5TPmK9X2WP+eThk/Hi9453tfvScdPw5DeOxvgh1nseRRuXikDvP2Gwb9kBE4eU7ti7H+WB1pad/6fZrjaFgsRJv37S+XyUw7wfnIhffWhf5yYklRK+yZSmJy/plMC/P38YPnPkFNfyhrQIjEBXy/pTCyigCSGEdBtKUG6z7Q87tIqEv37oLfz7pZXG7cIi0D2d6sobPfvnBYc6fwdZOOJGXr04WTg83WzbaZ3XPz+9BA+/sRb/0c5ntHLaqFhAp4S7sM3dr/mzK3xo1ngA8e0NxkhzKmUU1kHn3jTpVG972G5WlHnMoGYn0qy322VoS9H/G2H8pSaSNqRSOGr3Ysq3fXcZ7MuhrAjbXUaLQAd9vv4+O0bO9gD6N2VcTwIyBg+0UUDbT4ouPGY31/KGdCoww061srfUAgpoQggh3c6P734DALBisz/3q4mwCHQUMarrpai+yguP3g3fe8+Mku28GStmTSr6ccNEXFRMYjaXVxYY93LV7faOHD75lzl4YP5ae4U/Ar3HmIG+flUau6D0bFGwItDhx6duOuLaG0xR5ZQwC2vdVnDX/x2utRc49+AJrra6kB81sLnkOFQGitP3G2tu4HrqUuIYhftJgtdDruPNQ62TttcVZPBN5XfveD18LAZu++yhxuX6JMIgC4drmcol7a0amhbGNITWPiigCSGE1BEX/+tVHP7TR6rSl365VBPuBrdYk92i+qg/+Zc5eH7xRuO6KFFMPeIY5rXW2WvcoNAMG4qGTPD+g9ZE1Y3XnjfT6BvN2sfjFRhd+eBMG96279/fL/6klMjnqxCBDtn8lL1HO4IpdgQ6INJcysIxSKtUmBLAwVOGlew37MZMzTMcNqDJnEtZO9emY/ROnjxq95Gu9oEp+AzL32OXGleiWUpZ1dzTB002V6bU09hFsXComxzv2BpDItARv6o9AgU0IYQkmHVtHfjiLS9FFprV4tYXlkeODsdB2JLyKLtKWVQxCyAwZ20UraALqDA7iE7GUyDC5FUFwks/B3k4owpHIfxFKgAgax+DN6rslPiGf/k51z/vWmYSWXlZhQi0p+8hLe7MIL879wBHYFUnAu3PAgG4RZzp7zP2H6ctK/YbJeipT6ArhbfJH84/AGMGaVFuCXzk0ImOUE0JEZKxIvg41TFI6Rb/nbk8pJSxork/ft9eJdvoNhZfFg5TBFqo99y93JpEaP680cJBCCGkLK5/cgnufGUVHn4jvLCGztxlmzHrxw9iXVv3iu4g9GupigQrEdsVUcwCwcVXchFmx+mpyTqz0fbpjaIFicqGkGhtUDW/qB5oYRgHYB3P1vYsVm91v8eOgC7Tm5svWGNWgiZI2ISO2WPhMOYctlfHTVBhEsqZtPkmQ1+kr1fn5pLT9jSu9wzRiBKjDemUuV2IhSMt3JMYlWd5RGuTs2nQjYXxRkEoAV3sT9989+/eh78+uyxSqXTFtFGl0wuqY0gbItCmJxDpgAh0Ju0vxKIIm4Da01BAE0JIglHiw5SbNog/PbUYG7Z34elF/hRWcQnzHkdl3OAW5+/75llR5K4yBHTwY94I6dm0NlGPyZutIai4SFgEOuhtiyocgyLQOzrzOPaXj+Pax992LY9zXk0CWkorC4cSRP0iWFhMY9a7Nt3gqCcRca0GpnMxbnA/Y3o7/SbCdKyD+jXgjx+Z5VuvxHGUoWXSwtXukvf6PfPeIGo67c5Drc6PulkJOydpgzL1RqAL0t/HdU8sDo2Wn32QxxMe4QOqvlONmZSv76AsHIB/bA3pVKJLdgdBAU0IIQlmzVbLRlGOpzEojVccVFaHShg3xJ/mTVk34lg4TF5gIGoEutimMxdNQGdSwmUmDnoPyil7HdW6kBLm3Meb27uwYXunb3lXPm//X/q8Gi0cdnly9ei8uYyCKkFRc0AXUXbbkNPwq7P29S3znovffHg//OyD+5a0UpjOoT4O081ReATa7jflFn+OqNT66/B83tLCnZN70w4rn7iaWOk9d3uOLU72NI3TEdBOIRXps1B0ZPOhaQxV9FsRxZqibuobUil/BDrMwuFZ1ZBOYeKwFl/7pEMBTQghCUZd88qJBEeJzJZie2dlBRcA80x6tShOBDooGpqLIBb1cxG1jLFXyAQVewgTw3uOHYgvHL2rf5vIEWizmAn6PMQ5nyaRq9LYqTR55USg0ykReLPhFc4iRKYeM90/Oa/BM+bT9xuHgc0NJSOmQYLQyQxh/z+gKRNa6lyhbjAaM+5osrIm6YLyqGkjXdumU8IlulVRE5UL2XvqRmri1mThUMeg1lkeaHebrnwh9CmW97xGikDbn5F0Ot4kQq+9KJ0SrmXfPmU6vnPKHgDCy873NBTQhBCSYNSFNs5kGhURbe+q3H4RdcKdl9lLNuHvz1s5Z01C3uuFjkJQpDfKjYJeujjqTYFXBIw3RNJLkUoJfP3E6f7lMSYRBnmVTWRjlGg2TfQq2BaOPca04oMHjMc158yM3J8iJURgZNl73GGfa71pxiN0vQRVHVSUSieYTgl87z0zcMcXDtP2H9xncRJhyl1N0/48657eQ3cdhiWXn4K9xg109iXh38ZJ7Rey36A0fvp2BSl9x9vWkfP55XXSAaW4w1BPdRpS0SYRDuzX4Ftm4rxDJuLIaSNKN+xhKKAJISTBKIERxaagUBGpfAzfdBBRIt8qNZ3Oh/7wLL79n9cAmCvgqeNauaXyTB9RRGNYBNr7+FqRTgkM7Fc8tqH9G/GSpzJduUQW0AiY7BcgPOPckJiG8MbqbY4H+mcf3NdX2fHKM/cp2W86FZyGTXmOT9/PyoBx7B6GFHA2+jlSAi1IKJeyK5WyJKSEwCcPn4zdRg6IloXDbpRJu33yqvCKbrsALDGuou3eCLSy2yh7hvfc6f2bDqPoJ7demzzQAPDxP78QeDze/NJRLBy7jhgAAGhqSPu215/KXHveATh9v7GRRDkQTbwnAQpoQghJMEpoxpmNri6o1bBwmARZLl/AOxvbnfRkIwMEqMIUZVSLVJQ6CkHRylI3CumUcD2+vsVTje3pbx7jej3J9mNmUimfjWCIpzJdVA7bbZjL52kSOO8zFOUwpQhLieDPQ1R/N2AWKs8v2YS8lFrOXvf6Dx24i28bb2nmVICF49rzZjqRxWmjWrH0ilMxcWiw91XvQUU0g4RyuRFoo70IpScRqq0a0inX53Kf8YNw+wWH4svHTQvcNiWEaxv10RQBHmEd00Raxw7jCGgZaQKkji+CHEHEXnveAfjrJw7CoH4NGN7aiF1H9De2O2mv0fjNh/ePPpaYKQV7CgpoQghJMEoEx4lAO9tW4eJjEtC/fPBNHPmzR7G53ZpgWOoiZxJ75eR3DdqiVAS6KZNynb8n33JnJ/Gm0BLaY/3GTAoXHu0uPVwON3/qEDz45Xdr+/C3+fhhk/GiJ8JteaD9/tKgCHSlHmjAej9VBDFKOryZE4a4+w3YxJRBon+T/+mFQhfhjs9XG/OlWsaLUhHToOOQhvXq1Ib2qOVA1t8KCeDASUMDJy0C/gi0EuzFQ3DvWX9lFNCGfcTObpL2RqBLy8NBLQ3ODVFLYwYPf/WoWPsMIiWiZUDpaSigCSEkwSgBHRZNLhQkfvPQW85sficSVUEEWvVhmqD3wtJNrtdhe3lnYzteW7nVtzxIAJq4/QKrlHBwBNq93Ju7uLkh7fJAH6SV2jahrt2loppx0UWBSbwK4RdDAv40dikhAt/boFzZJsK9ttGP3dtNOiWMn1eTpjxkylD89mxzdNJ0vtT/rc0ZfOywyc76lsZgIR6KQSwrj3xYn+roUsL9uYzysfYkd3EVJNH5xkm7488fP9C17CzDEwAl/tWTp0JBhkaxTfjS0FX5sx+HqDnSexoKaEIISTAquhomoJ95eyN+9dCb+I7tOVbEEale1CXMFN31RmzDoslH/uxRPL9kk2+5OpyWxnRJQTt8gGUR8e5mjzGWz/To6e4JR//7v8Ndr5syKcxfvQ3r7GqO7dlcqO1ETXZSQrxa13NXRNXQqYDf+pASfrEdJFCB6kSggXgVAr0tvRaF4v7MuZrfu6/fumKtK/4dlMFBZ9bEIYHrAtFsD4rTbSvNobsOM23hai+EwKRhlnWhIS183mfTNoDbOqKWezOUfP6o3XC0VuL7qrP3x4dm+QW0cyiaBzquj9groOPcQFWL4QPKs0f1FGXeshFCCOkOVEQxTEBnbRPl9s6cK2JciQdaiSBT6itvOjcprXGe+8fnce4hE5wJYmGo0sI7s3n0bwpPlaYu5nrUdZeh/XDnhYcZqwOOG+zOlqEmDX7iLy/grv87Au2deQxozmBdWzGP8pzvHodZP34IAHD5GXvjntdWY0KIP1exz/hBxuWPf/0o3zJdkhgngwmYQtDGDAfVmERYrQi0t58LjtoVQ1osMdTanHHOf1xRZrrhcESmof31H52FN1a34ew/Pucs+8ZJu2PayOCqeuomST9vx0wfhaVXnBo6Nt3m8Z1T98Ax00fi6OkjQ7c5Y+Z4zFs1H+MG93O2HzWwCb/44H5WXyXu1Lynb2BzBts6cr4bPFXZMApHTB2OJ9/aUJYHuto8+OV3+3JmywQnsqOAJoSQBBNFQCuefGsDdvvOvfjgAeMBlG/heGj+WscznDNEoL1CqCAlNmzvxOylm7Byy85IArogJTpzBUgJtIT4YIHixVw/nDGD+gWW1vZe/Jsb0tjemcPKzVbGj/auPEYNana1UVFuwIpsq+i2jkmzBqXWmzjMP6FK1zRBAserW1JC+CK3qZTArbOXG7evWgQ6RthdNR3UrwGvXHKCs3zpFafid48twpX3LSy5v1JjUNsObmnEGfuPw7mHTPC1H9zS6Isaf/6ocP+68hTHTdf42XdPwXf+8zpGtDahuSFdUjwDwCcOm4SzD9oFLY3FXNPXnDMTs+wnMKXOuXf9k988Bp25PK59bLFruYQ/jdz4If2wYnNwxhufz74HbBT6BN16MHFQQBNCSIJRFoo4kwj1R7lRyOULmL1kEw6eMgxduQI+9dc52v79wsJ7bZWyKLSjpqXLF4Cddp7qASX8q0UBHe2AvELDG2Xc0ZVDq0G0H77b8MCIchBeO0sYwhVRLd0GsISE94Zla0h1yDgeaK/2P2HGKDwwfy1g2GcY3iwQOiYRHLlfQz/plMAvz9ovVj9hTBvVikxK4P9iThQ99+CJOPfgibG2EUI4vmpTufBSp8e7flC/BgANTh9S2v5qKeF1y7QEFMRRn7ckeaDrBXqgCSEkwaiIYlgE2nupUzozqgf6hqeX4Jzrn8czb29w7CAKXbh35QrGCKe0i2/EQdk3gPBMDIA9uU6YU46Z8AoNJdy6cgVIKdHelTfmrr7pUwfjGyf5i57o4/AydeSASGPyEjSJ0BeBTvknEYZhiqQeExAd9d5o6FUH0yFZJL5zyh54zz5jnNdh1QT1NbEFtGESYbVl3YCmDBZddgqOmxGcj7oWFL8ufptK0DEGPbVQSyUs64bJwtHPkL1D39bree8uD/Rrl54Quj7JaewYgSaEkB7m6UUbkM0XcNTufqGjPMhxJgSqllEtHIvX7wAALN+0E3uNdUdglaf6u3e8hpueewdDWhpw0GT3pD+J+Gn2ClI60dKmhvBYTkpYk+vmrdoWqW+vUNPz43blC8gXpFFAl8L7FtzwsVk4bLfhsfsBgicResWogN8D3ZhOOcU3vJiWNwREE73nSbfEhD3C//SRU7BxeyfuenV1cZAwCz9XMZTYAtofva5kYmySkJ6Jg0DpyarBwlr1qSLQpqcw4fMMvH13lwe6tdlcnbAeEnEwAk0IIT3IYwvX4dzrn8fHAqqEOVk47P93dOZ80V6vpFDCOUxsbOvI4uf3L0QuX3BsCF25vG8btf+bnrOKj2xuz/pEXqGMCPT2jhwWb7CEe4N2sf7LJw7ytbUENPDwgnWR+jbZIKxxAu2dtm2kKVpZYX17L8dMH1VSmAT2GTCJ0LtcCHP2iiA6s34BHZTT1yuydKEdpXKfGp9qaYqQlkrdp/jX5w4N3Z9j46lCcaAkYMo/XXoSYWlVaUWgTU8yin/vP2Gwbxzem7QoeaD7OjxDhBDSg1xy57zQ9dlcMQItpcSel9yPb/37VVcb70S/KNULf3LXG7j60UW4f95aZyKcis66+i4UsGZrh2uZ9zq+dlsnTvz1E6HH4WXV1g6ntLBexMEULbUKK5QfktK3bbdtI+VEoKuJMQJtFNDxLBwmD3RQPmvvGHTRVCqNXamUfApTFNnEARPDUxmqiHjviUBb/7t93uHbqFM5deQAV3Ef9ZVNp4Tjgfain/urz5mpjUPa6z0TVRMSAU7yu00LByGE9CClrlNdWhYOdaG8bc4KXPmBfZ02XtGk2qnIcEFKX8aKTe1W0ZV0CloE2i+gL7tnQejs/WqgCzyTdUDYEehy0cWDsqSYKroFUYuLuNEDHWDh8LYNS+1lsnAERRPDLBwlK/tpXYbd2+jdVOKr3WVoCxaubQvMelJvHDF1OF5buRUjtHzkelTfhFr+4Ffe7VquT64VsDzQBQlMGd7fecqja2r9iY+Tz9q3L4Gh/Rud4kxRefir7zZm7olPQhR8CBTQhBDSg5R6LOukkysE2yS8AlpF6aQEjvnFY1i3rRNv/OgkAMAry7fgucUb0WFHYpsb0qECGgiegFQtdGFlinymhOE8RbxG/+C0PfHYwnVYtG47gOLNRZAvOAr/vOBQPPHm+rK3B4ItHKY0drEi0IZJhN7tWxrTaO/K+7Jw6OekVARauP4OnvzmnkRYvvj95Vn74ok312PKiPImbQLAtecdgIE9/ORB8dUTdse5h0zEWC1nedApL/VR1ysZKg90oSBd76EuoPUnPkFVEAHg3i8dEetGEwB2reD9qTdqeisnhDhJCLFQCLFICHGxYf0gIcT/hBCvCCHmCSE+XsvxEEJI4gjRKXlNNBcKEp2eIgMKb7VA9Vi2IIFlG9udbBcAcPo1T+Pyexc4UaKGdMoR0P99ZZVRQMe9iMb1qbqsAwER6HLl7kffNcn1WkXcYqVp87yeNWkovnLC7mWOyMI8idDg3xZ+C0aYi8EYgfZsr26IfBaOcjzQKJHGLhW9T50jpronZw5sbsB79jFXLIzKSXuNxrvKnPRZbdIp4Sv44y3JHRV9QmLK9kDnPeW89SwjaYOwTglggX2TrRg1sNlOlddzRM280xPUTEALIdIArgFwMoAZAM4WQszwNPsCgPlSyn0BHAXgF0KI+qrlSAghFRAWgdYjy7lCAUf//LGS7QBAZaJb29ZhaG2hz9xvsAXsso3txmwace3H3lR4pdCFm0ljGT3QMcakb6suyJkYVoBaXMKDPNDmCHT0sZpKr3uFqzofYRaOqEU9St3cuHJfRxTQ//3CYfjbJw+O1LY3EXTOS5019ZUVQkAIoCufR0FKV3+fOGyS83fGZOEQIvaNci3p61k4DgKwSEq5WErZBeBWAKd72kgArcL6hg0AsAlAroZjIoSQRBGmKfRocL4gsWG72Y+YC7Bw3K3SjBkIukCZItBxg0BxPZClUmalbGHgHlS8MSnKsXCom4qgyXjlELWQCmDyQMdDv1lYesWpzrn0Z+EI90DvqxWZMVdVNEfVw/o0UQ/iqRY4ZcqDrBwBb3xBi0Bv68jhpufewaYdXa7PjWky5xFTh7si0N1Nd+WarhW1NAONA6DXGl0BwHtLeTWAOwGsAtAK4CwpZbzQBSGE1DFh8Ts940BYmriuAAtHFCRkyf3ELXMcV0DrQs60pZ4qrRz0bZXYUNG2KP5u5SuuxDftxRyNNUelKxUaQVXovMJcn6Bnuqm5/YJ3OX/r71n4JEK/cCtF+Yad+iYoAi1LrB9ml8Ae1FJ8gL+2rQOD+5kf6GdSAm/95GSkhcDNzy/D7KWbjKXna8kL3zmu7ieE1nL0pnfa+9t4IoCXAYwFsB+Aq4UQA30dCfEZIcQcIcSc9esrm7hBCCE9zc6uvBMdDhMfejghrFCJNwIdxYKsNLOU7ln8Jp/1tY+/7Xpdqly0ycIRdpx65g1TpcOUEJEf/5dCDa0pk8YVZ+yNv3+6tFVAHa83k0klBFk4TO3KLWpxgu17DfIOe/vVC9qY9qmXLXdFoA3LTO2qef56I0HfEef7HLD+wmOm4soz98F79i5Wh2zvzAd+Z9IpgYZ0CqmUwHmHTMSCH52E0YOaKxh5fEa0NmFQS7C/uh5uoWoZgV4BYBft9XhYkWadjwO4QlrhkkVCiCUApgOYrTeSUl4H4DoAmDVrVnId5YQQEoEf3z0fNz//Dl5dOSU0v7EeGS6ERJW9gjZKVUDVn4T70fCCNW0lt9Uj0pmU8O3PFLFOC4FcwDHop0Cf8KhIVTCJ0Nu//rj7wwdNiLS9GnW5RVNMmLSNMSZtiEBHfcLwh/MPMBc3ccYgMHZQM1bZeb6bMtHT2KkbgHftOiz0M6x3EzXi2HctHAERaOcza17fmEnhQwfu4lq2oyuHtAAe//pRvhtqb/GWJHmf64la3g6+AGCqEGKyPTHww7DsGjrvADgWAIQQowDsDmBxDcdECCE9ztptlmD5w+OLXQLDK4x00Rxmi/BaOPKGCLC/7+JyPWvGt/79Wvjg4a52Z4pydRhEcJio18v5jmr1R8KsTA/u/cTLiGbKOhBdpX3l+Gk4/5CJOGPmuDg7DSUo24ipne5hHto/+jz7IGGrFqdTAs9861hnuR5hLhXxT6cEHvjykbZIt/stMYZqWmB6I+oz7cvYaCi6UoqObAEpITBxWH9MHt699oy+Qs0i0FLKnBDiQgD3A0gDuEFKOU8IcYG9/loAPwJwoxDiNVifjW9KKTfUakyEEJIE9MfjupDK5iUaM9oMec8kwiC8Fg6T2C5IIG0Q65aFI/rYAaAjIJ2eYmdX+HovzQ0pLLn8FCzesMOYR9aUnSKOrcEYgY4hwAe3NOJH79sr+gYRCEpjZ1qmjvX4GaPwq7P2w96X3l/RvlU833sK9Qh7FN/1tFGtzhiBAAuH9ne5VpS+QrAHWmXKiNlfGef7uvMPiL1NLUlwFrvaFlKRUt4D4B7Psmu1v1cBOKGWYyCEkKShpyXTL4rZfAGNmRTed83TmDSsBRefvIezLqyEsdc3bPIo5woFpFNFgaQE+cdvfCH2+PX9mTzL7TEFtJVlQwQWYbCimMK3TTnoabt6EqOFw7isWEhlcL8GDGjKVE1U+Et5azd2sW5Qwiwc5kwQ4f0V/z7vkAk4ePKwyGOpZ4LOTzlPTaz28cdwwp6j429UA3r6+xkFOvoJIaSbCUovpSLHLy/fgjteXhU5C8c7m9pdr01tvcuiRJ33HOub021vG75xe5c/G+lxe4wytLTwCoPffHg/Qxv363KjmYUyxUi1MUegzRML1bHGfVIQhJPGzu736N1H+Maki+lbP3MIHvKUjzb1F3dd4Dbaefjx+/bGe/eNX0ClHjM8BJ2qoHLbpWDEv7Yko6YlIYT0ITJu47Pzpzd7RVQLR1uHW7CaotXzV23DrElDtd2WVmN7jh2Ieau2+ZbrfuaU8Au7n92/0LeNbk3x4r3OHzrFH3H0CrF0DGWmt9SrtvUkpTJWOMtQ/LyUunEpl2vPPwBtHTm8tmKrs0wX04cY3g/vGK3/zR7uuFR6b/PS945Hug791kUvuXfSqGoQr7+evkmsBrImZYyqQ/3dohFCSJ2jR4Z0MeqrKKgJpuWeKLNOu2fSninL3AeufRZLN+zQ+i49ztP2NU+a03WcqUqeSXSHpTDzl68uHZ0tN61dUiLQUR9R65MIw26iKqEpk8bwAU3ustsxBGjYsahV+gTFWjOkfyMGNvdsCepqUtTPcS0c9Sug62HkFNCEENLN6Bc2fcKdd/Kfrpe2eaLM81YVo4U7PZYJUxYOAHj8zfVam3Axdtf/HY7Dpw43rnNtG/FKF1aO2nudDyrnrRMrAq01VWPvSW0xamBT5LZ6GrtqRaCDDl0/x+VE+IM83EC8YjB1rPsqIujtLfepCS0ctYUCmhBCuhldIGzryDp/eyPQYSL303+Z4/ztTREXtN0ld85z/i4lxsIikHmPhcOEN3VWWAozb6TMdOFXQmzf8YMwZUR/fOm4qYH9KYYP8AvVQomcurXm8a8fhQcuKvqJx2oFLIIKqajIcBz9HJZyr19QZcIyqgYCuvXATypkXWB/dRF/7D6cpyYxBXFv0M9JzsJBAU0IId1M0CNvrxBWkafWZv90FVX8wmrnXhflUX+pgikqpVmT4dG7W0Cbj2X/XQa7XocJcu+F3mjhsBcNamnEI189CnuMMU9wVLx26Ql48htHW9tqgkyd454S0BOH9XcqsP390wfjjgsPc9YFfS7iRIMVl562Z+C6Gz9+EL56/DSXePfuP+yJgZewc6nOfT1kVUgMnlN1wbt3BQBMG9kaq5u6tnDUwdApoAkhpJvRLw57jxvk/O2LQNvK+NjpI0P780aTo1QiLIXyrF7/0Vm+dfokxaCL9BBPwY84HuiwFG9Ro2qtzQ1OpPWi44vRamVvSUJ07l27DsdIrXCMMYKbEk7O6jgTqsLE0y5DW/B/x071nXdXfvIqqYOyItAJeG+SxPEzRmHpFaeGlr424X2K8J1T9sBHD51YzaH1aSigCSGkm9Gva12aaM56PNDKE12qhLRXQBeqIKBV5HmkoTKg3n+Q1vFGzRvSKVz2/r0BAGM8kc8oKeqKxT/iq6vpowfiGyftDqB4jpMYEQ3KwlHOMZdzg6BvEycC7Vg4Qp4cxFHQyXtnuodquxW8n5tPHzkFPzi9ugWBag0tHIQQQhx0S4FeiMRbUbDTXtfUEP5T7Z0zGFZ0JSoqAq2L2Rs/fqCv/yBt5826kBICA/tlAteFvbaWuf+Pi+oz71g4yuunlgTlgS5H7Hv7mv2dYzH3u8eFbpMqMwId5llWY49zE5DAe5tupVqH352ZT6pNPfjg6/fsEkJInaILBF1AeyPQKkNHc0O8CHQ10p21NlliV8+eMKif9Qg5n9cFtPlC5y1kMWZQM/rZxzGq1eu9dW9rLDJSTihTQ/mIe9oDHUbgJEJ7ufe+KCybh7evka3NGGaYVOndl6KcCHRYnwk83b0envPaQgFNCCHdSFeu4Epd16WJ0ZwnlLzTzu9smsinU20B/fjXj3IEqx6BVqKq4PJAm/vwpi07/5CJOGb6SPzw9D3x/ffOcK3zR6D9/cX1QAdtX/RAJ09dBI0oKBr36SOmBPZVzvG5snDE2D5MJJd325O896Ye+feLK3t6CBWTYAcHBTQhhNSaxeu349UVWwAAH77uWdw+d4WzrisXnAdaWTpKC2j360onEU4cVkxBZ5pYFjaJ8OS9RgMAGrQxjxvcD6mUgBACHzl0kq/IRaQIdMi6KKjtco4HuqxuakvAmILG6vWK64/sy7nR0PcTp5JfaAQ6pdrQwlGKKNVB4/D+/YNTGSadevgMUEATQkiNOeYXj+O0q58GALz4zhbXuk7NwnHp/+a51mUL0SYRei+81axYlzFFoLVAuVcYqcwXDSEWAG9KO18EOiQPdLnZIVSX+SRbOAwKOkxTeaP8etS4HN+0LsirVkjFmfwZezh9DmVxmjE2PEVjFM4+aAKu/MA+FfdDgqGAJoSQHqQrV8AQOz3Vso3uct1OBLrUJMIy8kBHxSWq7GHoVhOvaFKCL6wQRykBDQBvX3aKp43aX5kR6JTHA12HVz+vmPbeaLieFpSVhUN/r6sTMS6uiy/I+xrHzxiF6z8yCxccuWvFfV1+xt6hqSPrhWpH5auJPzs/IYSQbqMrX8Dogc0Y2dqMFZvbsWJzUURnDRaO6aNbsWBNGyYMbXGWFaTEkdNG4Am7VHe1Sj4D7slkSmDp+tyrs9S+wwSYNzptaurd3inIUXLEZpTwTnQE2jAkCekcszcPtPc86tuXc6OhW0DilN6G896YsqfEn0SYxBSD3YEQAsfNGFVRH589cgoGNFHadQc8y4QQ0oN0ZgtICYEBzRksXJvHMb943FmXNeSB3n/CYIwb3A9r24qVCAsF6aoqV41CKgpdo5kyM3hFkxKougY6eMpQVxtvBDpIL/390wc7dpHiJMJyPdDW/7lEp7HzI2Xw+fGexzhRYxMDtdzdccpGF/NAh6yLMY4EvjV1w7dO2aOnh9BnoIAmhJAeZGc2j1QK6N9kiWRTXmj3JEKBdEq4JhxKCbQ0ZnDQpKGYvXRTVYsPuCLQhifCXp2l9q0L3R96ijd4Hy0HRRzftetwX5vK80AXQvfZk8Qdk/c8VhpVH2AoGR+FsP0yjR3prdS/QYYQQhLKbXOWO9k3wkgLYcz1rKKlo7ToshBW5FGPMhekREoAZx5Q/Vn3pjR2Ol7RpywcuqjyZhHx2gOiCL/Ks3BY/yc6D7RhmV7R0Xtj1ODzkle2f2/u7mpQzvuWwLeG9BDJdUAzAk0IITXjG/98NVI7IYTxkfmP734DgCWwD548FM8v2QQBS8jmXQLaeuReSfWudEoYJx/qYtcYgfYsKwporY1HEXmtBlGEn7OfMg/R8UDnE2zh8Ixp9rePRWtzA4IO2ntDU+lNQaVRedPWqs94Fo4EvjmkW6mHmygKaEII6WHSKRGaNiwlhPO4XghL1OqZMApSWhecCi46mQABnUoJDO3fiC8fP804Rq/YUZH0dq1YjFeseoVatAi0snCUG4H2ZOFI4BXaey6H9m8Mbe/1QPdU1oWwTAmVZk8hJKlQQBNCSA+TEuER0VSqKJaE7YHO5yW27swinRK2hUNUJAobMylXTmqdF793PABga3vWOHad8w+ZiP++vAoHTBziLCslnqIMW+2nfA+09X/O8UCX109NKXGj4cUrmFvL9DBXipLPpvGWI5wT+d6QniHBHg4KaEII6WGCLByKlBDO43ohrIh1tiCx7w8eQENaWBYOUVn2gijRS5OFw2vHmDVpKJZecWrJvs6cOR7/etGqyBhJ+IvKItDFUt6oqJ9a4q/I6F7ufUDg9ZLPnDgEC9a01Wh0pTGdUe8xEBKFenhiwUmEhBBSAwoxUsmlhQit3JdOCWfCmIBlq1CPzbN5CWlHoONcc3Yf1YojphazXETJ+2uaRGhaFoWPHzbJ+TvKuFdu3gkgvDJfGMoeIQ2THJOCd0RKRChbTKdW9h0oPpXo35jGPy84FN88cXrNxxiXctIPJvCtIcQHBTQhhNSAbMFshzCRSgFfO3F3AMA+4wf51ws9HZjll/ZOIhSIJzzSKbflo1oR6KjoY40irjZs7wQAvLpya1n7U+QTnAc6iJZGv68cKOYHF0Jg1qShaMj0zEGF3dQ4kwjr6HyT5OAtHpQkKKAJIaQG6HmaS5ESAiNam7D/hMGB6/XwpCljhhDhWTj6N7rT5GXSwiV+GzOlLwfGCHS6PGWk77srwHttQlVnjItj4ZCq0EvyFF3QmCYN6w8AOGnP0QCAX35oX5y6z5jixFK7Xc9F1e3PomH3zo1fjN6S+N6Q7qUePgH0QBNCSA2YvXRT5LZKZKSFQIdBIOoTBC0tLXxRvzALxzkHT8DwAU246uG3nGVWBLrYxptT2DxO/7JyI9C62BtSItuEjilTSBwKCY5ABw1pRGsT3vjhSWhusATzGTPH44yZ4/HW2jbXhj1tSzGmsVP/x7FwVGU0hNQWCmhCCKkyXbkCPv7nFyK3dzJMpIRTfVBHF7sC1t956Y1AB4sUKf0eZ+u10F6XjkCb+o/inTahi70BTdEvReVHoK395ZPsgQ4ZUr9Gf6Edb5nsnropCLNwlBOBJkRRzaqq1YYCmhBCqkwh5q++iuKmBFwVBhW6g0Nl4fBGYktl4fBaLc46cAIemLfGN4a4lB+BLmuzslG7U6ctkQI6psws+osry1Ci85sP7xf78+sdj3uZ+/9o/ZS1e9KLqIfPAAU0IYRUmSABElRwQgmPdEoY/cD6hD+VhcO7DxGahUO6snzsMWYgPnDAeDw0f62zLCyNXhhqIltcqmH9KAdl4RAJnAEUN6GJP2tH5WM4fb/45eDD5HZRQMexcNSBeiJ9HgpoQgipMkE23aDlaS2C2GWycAjhymaQFsLXl/JGm5DSLFh1TRN3LuB3TtkDM8YOxK0vLI+3oU35FQXL2kzLA51gC0dM4aj74q3/e+aYBjY3AAAOmDDEt668SYTVGBXpDSTYwUEBTQgh1SZoolvQchV5TKcEOrJ533o9uqyKrvgtHMERaCnNkwR1ERlXUI4c2ITDdhuOW2a/E2s7Z3/dHIFW4rTogS6rm5oSd0xeD3RPMXpQM+676AhMHt4/sE0Sb1hIcqmHpxAU0IQQUmWCrBp+24UlbvUsHKZy2u5JhGahFbQcsHKppjV/gPD9UeSMmdEe4ZdbQEVRdknuCvNOFxIcgY47Jj03eE8zffTA0PWxPNAVjoWQ7oACmhBCqoweHFYiGfBHoFNCIG9XEbTamj3QKc2eoQqp+Nu4s2roSBmQr9mj81//wYno1xDN01xu/meF6RhqiXcSYQI0p48kjqlSypqP2AvPAymPJGfhSOA0CkIIcfPqii2Y9eMHsXZbR08PJZRVW3bi0YXrXJFmvcKfNwLtpK+z/w8qBphKCcfmIYQ5CmulsQseW1OEQikDmjKRJ/eVm75OUW7UtNwMEYpkp7ErdyJnci/lhQQXriHJpR4+Lsn91hFCiM3fnl2GDdu78PAb63p6KKEc84vH8PE/v+ASeY26gPYEl5WIU4I4SLym9EmEAe2sSoRmJIDxQ1oMy8sXoxn7uMrtoey0eeV6oOvAwhEXNeE06lODniTWJEKGoEkdQAFNCOlxPvWXOfjdY4sC1yu7QNI1T0fWEjR6GW/d6mAqfgJoQjrgANOaOFZZOLykRHghFT1KqZpVEsxVEejvnToDp+83Nvb25QawyxXeSsLlE1yJMC7K7jOgObluTPUZi2OZT/r3nBCAApoQkgAeemMtrrxvYeB6Fbmtl+tqe1cxk4Zu4fB6oJUsVoI4SBwKoacDM2fbCDs3EtI1Dme51NvEQwno0YOa8ZsP7x9z6x7IwqEi0I4Hul4+TcHsPqoVnz5iMq45Z2ZPDyUQ9ZQjTlS5/t8ZUi0qeUpWayigCSGJZPXWnXh+8UYAxR/RSh67b92ZxUdvmN0tPur7tQp/jSEeaCcCbTcJjEDrWTiEWWinUiIw+4fqI4ywbU1UOomw3Pey/Ai0RUHKXhF9Bqz3/DunzsAuQ/32nKQgEzxpkySXevi4UEATQhLJ0T9/DGdd9xwALatFBb+q/35xBR5/cz1+92iwVaRa/Oz+YjRdz7/sn0ToTkMWJCojeaAREkWW5kl/h+46LGiLkqQrTGNXrpe57DR29v/5guwV/ud6wZlEGGOb3vB0gPR+kmucIoT0CQoBxUWUnxjQolhl9L91ZxZb27M99ug+44pAu9epkRQtHOY+UnqGDSGMAlAIEehplnBHjNXmHzl0IjpzeVx2z4ISR+Gn8iwc5W03deSAMvdn7bAgKaC7E+cjGauUNyEWSU5jRwFNCOlRSqUlyxekYy8oR/yedvVTWLaxHd89dQ+7j/hjrARdaPpuFnxp7II80KKYBzqgnSUKzedSSmksfCKEwLjB5T3+j2LhmDC0BS2N5gwR5Voxfvy+vcraTu0tl5e0E3QjQ1oaAQB7jwsvtEKIizr4jlJAE0J6lFIBho5s3mkTFK0OY9nGdms/KhtAN6snPfuF915BjUTZEqLcIFgTCs3Lg/BGoHVU1Dv+JMLSFo4nvnF04Lpy34fmMlO2FScRMgLdnUwe3h//+fy7sOfYQZG34dtD6gEKaEJIj1IqAt2ZKzhtvGng4lDMBtC96CP2TyJ0e5/DfMFqlYDZwpESwY87pQzuu1wxWamFI+7m9110BLbtzFW0T0CVTq+4GxKD/ScMidWeeaCJIsEODgpoQkjPUkoT5wvS8Q5fdvcb6MoV8NF3TSrZ79ptHVi0brtvP90d3dKPr1Qlws5cHkHoeaBNkWoBEXqxCcvwUQ6VZuGIa8eZProyC4CT+zrRl2QCoC4e35PaUg83URTQhJAepZSALsiiB7qtM4dL7pyHycP7Iy8ljt59ZOB2J//mSWza0aX1Y/3f3Y/vdcHms0B7KhHeNmdFyf4EgLy3pCEsgRg2iVBojgv94qQEdNzgfhQLR5JQx1yQzPJACKmc+voFJIT0OkpZOHIFf8zwIzfMxsf//ELodrp41vfT3eLJVazEc6zqdRRR71g4hHVOvKSECIyuSikDLRxKQMe1ZHgj1y2NaXz23VNi9dGtqAh0Aqf1e0tx7z6q1ZU/vK/B+xvikMDvq4IRaEJIj+L9eczlCy6R29aRxesrt1Ztf919cS5I898AsLk9CwD419wV+OZJ00P7cfJAC+GraGgtD49AB4l0FZk1VSoMo8Fj4Zj/w5NibQ8AXzp2Ko6cNiL2duWgRluQyXMIPP71o7Bhe/GG776LjujB0fQ8SXt/SPdTDzdRFNCEkB5Fj0Cvb+vEoZc/jAlaZbUv3Pyik0mjov0UVLS34q4iY03s0y0cZoUb11Zi6ia0D1msduglm7fsII2ZeAK60oqAAPDl46dV3EdcJJA4hTZyYDNGDmx2XtNiQkjyoYAmhPQouhg88CcPAQAWb9jhLHt7/Q7vJmWhMniUWwGvHNIpd7Q4SEBffubeJfvSJxEaKxGK4BnrEu7Ubfop6MhaExebYgrouBHrnsYRpQl+JEwseANBFEn+ttbXLyAhpNfRXZ7UXN4W0N04+S0lhEs0Bx3q4H4NkfsUED77BKAqEQafS11AX/LeGc7fh0wZhkOmDMW3Ttkj8hiA6kSgu5MkWziIG74/pB4+AxTQhJAepYzaKGXRZVsVKk2/FodMSng80OEWjhs/fqBv3aNfO8r6Q0vDdsRUv284TM96cx8fMHGo8/eQ/o249TOHYvLw/sEdGKg0D3R3oxdSYYSTEFIpFNCEkIqZu2wzvv/f18uKJlcSgY6zbVfOEtC1SmO3aF2bb1kq5Y5AB90sqCG1Nvsj0UrY6qnnxg7uh6+fuLu7D4jQQirVEo2H7TbM2l+diVB1/ujgSD519tEiNSTJ31d6oAkhFXPm758BALQ2Z3Dh0VOxbNMOZHMSe48vXb63kgh0Ni/RmIl2tW3rsKrY1erifNwvn/Ati+qBTjkZNkrvJ+iCEj6HsHpXoT9+ZBY6s/481PWCBAVa0qmHIhqkttTDDToFNCGkalzz6Nvo15DGzx94EwCw9IpTS25TibjryhciZ4/YutNKE1bNiMb2zhwGNAX/jKaFwI7OYvnpoIh5sUx3MKWuJ1J2T5W9lsYMWhprvpuqU5xDKCnPEk4daCdCaOEghFSXuAK1EkGby0ePhO7otLJNlCrcEpX7563BXpfcj1eWbwlsk0oJJ9eztW9zu2pE3PJShlo4+jrqDPNcEEKqAQU0IaSq9GtMl26kUYmgzeajb9uRswR0tbJ+3PnKKgDAkg3Bafa8KfNWbdlpbKcSg1Ty2DJfKIQWUunzcBIhIXVHEiuHKmjhIIT0KBVFoAvRI9Adtm9X39+arR346X0LcPkZe6O5IZ7w77TzJ7eE3DB4U7196daXje1UBDrUwuF97VkQFoxP8DWo25GojxRZ5TL3u8fVXYpBL7y/IfXwEaCAJoT0KJVEoHMxItCdOWXhKC77yT1v4H+vrMJRu4/A6fuNi7VvNTnwM3+bi7MP2sXYJqqQUc2iTSI0H3O+UAjJcW1tM35IP3z4QPNYezvFLBy9+25i2ICmnh4CIX0CCmhC+hi5fAFLN7Zjt5EDatJ/tT3QA5szaG1uwH4TBuPuV1e71mVjeKBV5ghdsDfa1fQ6c/GzSuja/ZbZy41togpoZSkI80J7C+l52+YKEilhPplqm6e+eUyk8fRG9PPHCGeyYRYOokjy7S490IT0MS6/dwGO++XjWL6pvSb9x80EUUpAb+vIYWC/BmP+5lyMHHg7bcuFvoXK4KFyRL++ciu+ctvLrtRzQRQitIn6JF1EiEB7RYW3baEgMXpQc7Qd9kGKlQh7u4mj/uENDqmHzwAFNCF9jBeWbgIAbNrRVZP+XZX3QkTmjU8vwf4/fCCShaMhbY5JxYlAq+PVH+GranpKMJ/zx+fw7xdXYuP2zpL9RRHZ0S0c0a8Waq/eLXIFq0LhLZ8+BG9fdopxm76MivLzXCSfOtBOhNDCQUhfo9YWUL3/bKGAppR5kt2l/5sPIJoHOp0SxmhuOcei709Fy1Xf21XO5ghX8HyEnUcVxqpVaAS6RFdK0B+66zDfuqH96zBxc42ghYOQ+iHJUxYYgSakl5EvSLy6YkvJdqVExNadWdzw1JLYk650gRolStsVIYrckEoZxWiU/r3oh6M290YnoyT3iGLhyKTjRaCjeD8dD7QvC4d5PD88fU9cetqekcbRm1Hnq8BCKomHaQZJPfjgKaAJ6WX89pG3cNrVT4cW+IjCJf99HT+8az6efXtj2X1EydMcpSx0KgVjVDhKFNiLrjPVzYF3gl6U9HjKUx2GNw90EFGaOYVAAkwIQefi3IMnhlZL7CuwkEr9kHzpRAgFNCG9jjdWbwMQXLQj6iS/rTutCnqqAElU9MhslChtlAwYloXDf1ktJyWZvo3609t3lMj2urbSPmmvB3qXof2M7aJMIvSu9EZogs51nacErhquUt48J4TUBUm+36WAJqSXoURbqehs2COy1Vt34tGF6wFEszPoZHUBHTIGJWI6Iwj0lDCPNsYcQgd9RGp8XpEZJbtHFPHuFdC5vERrsxUNbsoUf34dC0ekPNDm5e/b35zHmo/DFUWbTj08Hu7L8CNL6uErSgFNSC9DibFy/MGKhWvanL/jFjrJaapWifgdnTksWrfd1U79PnZFiEALYY5Al3OMrgh5QE7laP2W/oX3jjmbl8ikBP71uXfhsa8fVexJRaDD8kDb/ztZODxNxw9pKTkeQgtHPcCbPlIPUEAT0stQUc8g4RtFQGS0inZx9YaeWk7t67Srn8Jxv3zcPQ77/yjR3pSwfdAeyrFwdOUL+MszS5HLF4rnwhuBjlHhMAxfBLpQQEoIHDBxCMYMKto5okSgnXVUgGXhmkRIfUZIXZDkyqGcWUJILyPtRKDL78OV6i3mD5g+cVBFct9ev8PXTnUbJdprCUxDBFpKnPybJzF15ABcdfb+kcb812eXAbAElXOcnuaVlBfX8QrofEEik/Efh/D8rzCWCI+o/vbbZTBernAiaW+iWEiFFz5Ckk493OTyd4SQXkZKRaArsHDoxNWSegQ6ijiOJqDNk+Hue30N3li9DW+s3uYS0FGi2lvas45Q9vrFvdtv78zhusffxv8dOxUN6egP7rwC2npPDALaEIFe8KOTnFLjgP99KPWY++ZPHYwNEQrC9BWK54uVCAkhlVNTC4cQ4iQhxEIhxCIhxMUBbY4SQrwshJgnhHjc1IYQEh1VXW9dWwc6IqRaM6FHYOPqcJOFQ/HkW+t97aMIaCGEMSJx8/PvOH+v3lrMOhKlz1xBOuPzRpzznpmTv334LVz1yCL8c+4KbUwld+FLY5cPsA8UdXZxZXND2rkZ0gmKVnvp35TBxGH9Sw+yj6BHoOmxJYRUSs0EtBAiDeAaACcDmAHgbCHEDE+bwQB+B+A0KeWeAD5Yq/EQ0ldQ4uDnD7yJT/91DqZ991588sYXfO3C0tnpAjRuGjTdP+yN7J7/p9mh+wrCikCHD+TXD75VHEOEPgsF6Qhnb/NcXuK0q5/Cedc/D6CYaq+9K94NiVcAF6RZ+Joi0EEk1xFYHyTZU0kIsaiHW9xaRqAPArBISrlYStkF4FYAp3vanAPg31LKdwBASrmuhuMhpE+gi7An39qArlwBDy8ofrWKUdfgPrwFUK59/G1s2tHlWnbNo4vw+Zvn+gRJpxaBjuIljuqBLiWg9UmG+QiTAPNSi0AXvBFoiVdXbMVTizYAKEb19ch0lB947+FXM1czg6jxcPJA9+wwCCG9hFoK6HEAlmuvV9jLdKYBGCKEeEwIMVcI8ZEajoeQPkFUXRUmbnVR+9LyLbji3gX45r9edbX52f0Lcc9ra3DL7OWu5Xe/utr5+/WVW3HYFY+EjiNaFo7SR6V7k6NUEiwUJJZtsiY3es+Fd0wZu+/L7lngLPMOadTAJt8+Hnpjret1kIVDpa+L8t5RN5eHOseFArNwEEIqp5YC2vQT5b1SZgAcAOBUACcC+J4QYpqvIyE+I4SYI4SYs36930NJCCkSVRyEPcrWBaiyZGyzKxN6eWD+msB+/vTUEqwMqIioiFKOW0SwcOip96JOXlyz1Zpk523u3T4TIURckMCBk4aEtpHSnOtZ2EOP4s0NyLxHSqCXa6eAJqQ+SLLjqpYCegUAPQfTeACrDG3uk1LukFJuAPAEgH29HUkpr5NSzpJSzhoxYkTNBkxIb0C4JqL5v+Lq9yhMY+o+5lKPvhtDslKs2doRvBObfIR8e6mASYQ6DVp6uKiiXE2yNFk4dDJp02Q+b5GUgk/k929MG/fr78v9P6kdCb4eE0Js6mGiby0F9AsApgohJgshGgF8GMCdnjb/BXCEECIjhGgBcDCAN2o4JkJ6PfrvTr8Gv4BThKW5M1ogylAe69pKp1GLUrMkKI2dToMWgQ46NL0PKYsZQ0pZOKKkrsvmCr60dU2G8286jDilvB2xXQcXmCQipWQp74Ty6SMm46BJQ3t6GIREomZ5oKWUOSHEhQDuB5AGcIOUcp4Q4gJ7/bVSyjeEEPcBeBVAAcD1UsrXazUmQvoCujQIE35RJxEWa40EVDaMMzgD3pRxJqJ4oNdu68D7f/c0bvjogTjip2bfdSadcpUOV0K5lIXDK4xNZPPS16454z//JuHrCOgQYec9z6YUdySYYiVCWjiSyndOnVG6EelThGWL6mlqWkhFSnkPgHs8y671vP4ZgJ/VchyE9CV0gRYmFKJOIiz1AzZ2UHP0wcGOAGoDizKJMEq09XY7R/N/X14ZeHPQkBLQc4nkHQHtjUC7RX0UD3RX3h+BbjAIaBPq8OIIuw8eMB5zlm7Cf1/2OuOICXVzkuQLMiHEoh7ucWtaSIUQ0v1EFWFhAtpUDOWFpZudQii5fAEDm63774Z0Kpbw84rbKBUTUyK6ZWFHSK7mjF7ZL2QMUSLQpuF4C6dEPS1xrBuK5oY0Lnv/3hH3QFwR6J4dCiGkF0ABTUgvZu02vwdZBhQP0QnKYnH+n2ajK1fAlfcvxLaOHACryEgcQeLtO8IcwkgWDkVY9cUGbTKgPsFx4do2bG0vZhkJSmNXCq+twjTu0DR2IYdpekfinBdiw0qEhNQNSc7CUVMLByGk+4k6QSosAq0LSK+dYWc2jzlLNzmvO3N5S5BE/KV7ZME6nLTXaOf1rx56s+Q2cfROmCVET3V392vFfNV3vboar6zY4rz2inAVoR7c0lAck7F/z1KTWA4t5R0P6sDoqHPVFeWOjRDSo9TDbxsj0IT0MqqRB1qPEmdzHn9wvuCK4HVk40WgL7hprnH53z91cOA2QkTPmxBmCWkM8SQv31TMV/2fl1a61qnzUWoMegT6ts8eao5Am/JAO1k4gvdgLgFeYkDEQT/vpXKTE0JIKSigCellRBea7tcvL9+CReu2W+ukHoH2+4P1feQKhaoIuWZDzmRFWIR2n/GDMKhfMTIcVkTFlM/ZhJ6pAzBH601iV49Aj2z1Vya0tvMvU5uFjY4WjsrQT5X3/SWEJJMEOzgooAnpbZQ7ifB91zyN4375uLUuxMKR9ZRC7soVqpJXN0wMhq3bbeQA1yS/sCIq3kl+Udi6MxupsqG3/6AxmyPJ0fNA61BAR4dnipD6oR5ytVNAE9LLiCqqwjShvi7r8Yzm8m7B3JWXVUkNZhq1Ko2dEgENYIlW/ZjDLBztIRk6dPTo8Rm/ezpSZUPAbeGwbOHRItfOupgXjeRfYgghpHdCAU1IL2Ddtg5c98TblmAroaqcwihhHmhtXdZTKjCbd+8jW8bj8EkX3+1bZhL+KrIcJjozaQE9SUaY2I3qfdVtK2+v3xF5Jrh3EmHc24pI6eyE+W8SDs8VIfVHkrNwUEAT0gu48JaXcNk9C/DWuu0xsnCErNMtHJ4I9HG/fByzlxSzcGTzfgvHFWfEz09sEjgqa4ZJXA8f0AjAEtmZCGW84+D1yEa1cHgj0CYFHfbuxNV4TMcWB54rQuqFevhpo4AmJGEsXr8d/3jhnVjb7Oi0czJno0/oC4vUhk0i9GJKCzagOX6GTNO4Vd5m07qh/W0BLQQ0/RwaWY+K95jK9UAbtypTQc8YMxAAsIf9P4lHPVyQCSH1A/NAE5Iw3vvbp7CjK4+zDpwQ2u5fc1fgtZVbcelpezqFPnKF6CnlwtPYFf/2eqD9bf0e6IaIhUd0TFFmvYCJN8o9sNnKvJFOpVzC1ZtdpByCsnDoOtpYiTDEA61SZYfr5+C1J+01Go989d2YMmJA+OCJEepnQkg1YQSakIShSlGXiqR+9fZXcOMzSwEUvbd5T4aMMLZ15LB6q9kT7IpA58PHkS9In20iLN9yEOYKfe7/dZRYTQm3daIaExqDLBxhxWf0MQFuMXzV2fs7NwiV2C4ongkhfYlq/J7XCgpoQhJKHC+vEm6l7BZA8Qfpe3e8jkMvfyRg38V+5izbHNpfriB9FofGKkWgi6IzuH06JbB4/Q5neVU80F4Lh4pAF9wRZS/eCLRixpiBkXI902ZQO+gXJ4RUEwpoQhJKVN8tUIxAl4oW12LfJotHc0M5AtqwLKQbJwLt2bBUlDgK3gi06rJUOjuvgFanMSWiCThKvNrBc0sIqSYU0IQklDAh+Pib60O28y8bPsBcFQ8Azvz9M67XO7vyeHXF1tIDtDGlsWvKBFcVDCYsAm1YZ4tVb3GUsDzQUfHeFBQtHMVlJr+yPhYBgc6cZcfp15guRqC1zfp7qi+WGyXdZWi/srbrSzAATUj9keQ0dpxESEhCCYoCv/TOZnz0htmB25mEt/JTr9qyE2+u3e5aN9dj0fjKbS/jtZXRBbQpC0e5Eeh+DWnszOa1ZWZLBACoqtz+CHS8/bY2Z9DWkXMt6wzyQJfo3JujeaftZ29pyBRvBjTh/czFx7rOXzka738XHo5xQyigS1EPlc0IIRb1cMPLCDQhCSUoAr11ZzZ8Q8Nmynpw7C8eL7nfl5dvKdlGxys2gfIi0Ckh8Oy3jsEF797VWTZ2sCUMvb+lTZlU0QPt+aW985VVsfarsnnoeI+pmIWjlIDWI9DAqIHNAIDmxpRTBVG/QRjU0oARWtXDci4ae48f5KT0I4QQ0j1QQBOSUILSsZWaoGcSeSpyqos303ogeilwhdcvDJSXxk4IYHBLo2NH2GPMQAzq5xe3I1ubcPcXD3deR92VXiVQ77fVkLM6OAtHMZofljUEsM7jTZ86GNeeN9N1Q/HOpvbAMTJKWjvqIaJFCKkfKKAJSShBE9YyIYoxL6XRM1bK1qBn70ibZvOFYLJwhE3+C0IJd/W/K42fKIrTj75rEnYb2VpcFVEZ6cd12r5jnb+bG0pHy/WbkrBz6bVwjBrYjJP2GhNpfNZG0ZsSQkhvpR6CCRTQhCSUIA90Jh38w1KQ7pzMnzx8srM8jFtmFysfmgT0iNYmPHPxMcZtvV0v+NFJPlsFAEwbFS2HcdyfzaiCX4+K69tEyVm9vq3L+VudS9NeU55JhHFhlLR28NwSQqoJBTQhCSVI9IYVWCl4qgJ+7z0z8Nkjp5RMS3fJnfOcv02C9Iz9x/mE5oCmDD5x2GTn9XF7jMItnz4EzQ1pnw2kMZ3CN0+aHjqGVModgRYRxahJrJvQbzzUJpmU8KXPMx3/onVtzt87s3lced8Cp+CNjgh8EQ1qPEIIKVKqoFhPQgFNSEIJEr1hlbUtj657mRAiViogU0C3qSHt8zUP6teABk2UHrfHSBy66zCrD08nb/7k5JJWCWcTbVNTFSqvB9m7ryAymq9EifTGTMonzpsNEWndE/3fl1bid4+9jfVtnb52upaP6YQhNYaFVAipH+rh60oBTUjCUD8cQQI6FzS70N7Ge8eeTlk+5Uru5Ps1pNHkEZbCU0JbH64piltqcqISsqZ2QhTPi/cwQhwtLvRJhOpPk32jX6Nf6OtZOcKqPbqi5mVcASjyagfPLCGkmlBAE5Iw1IW+ICW+8c9XcPuc5a71Xv2sZ9CQHg80AKfM9S2z3f3EoV9DyhdBTqeES5RmK8xnbCp1HUXzp1MCP37fXiXb6dFsJwJtmJBpipTrEeiObPANjGsSYckRGbYvYxsSDd6bEFJ/JNjBQQFNSNJQUchcQeK2OSvw9X++6lrvjUAXtMwbeSl9toclGywB/ciCdWWPqdFOw/b6D07Exw+bBMDyHuvRYj1ibhIrJjuGC8eS4Xrp+9tLKiXwXi2rho5eoU8vc67OsSndnklAd+Z1AW1OBQiEF36JAkVe7aiHWf2EEIt6+LZSQBOSMNQPx3t/+5RxvdfakfekWPNGoJVNIcz6UQo1AW9AUwb9bIGZSgmXVUOf9GjMA23Qz1NG9Hf+9qWx87QNEkBpIYyWkd98eD+0NBRzPKcMFo6mTMonWk1j1+0vHblgAe3NAx0XijxCCKkPKKAJSRhKd7UbsjwAfgGt62KpRaN/8cF9ART9yI8tXB9p/95S34DbP6wEufCMRfcGN6RTeOWSE1x9mOLPUQVnmBZNCVEyE8fwAY246ZMH+/bVaBDQJu2vH+eOzpy/QYRxRoER6NrBc0tI/ZFgBwf8JbhshBBDPYskgC0yyTlFCOkFWFHI4K+ZV0A/tnCda52UEqMGNuHMA8Yb25eDHuFVpa93dOZckdmMJwrsrSJo+uVw5012LxMwpzDyLkmlRMnCLV8+fhp2H10svqKGaoo2m8S4fgpNlReL/VZm4SC1g28HIfVDPUyoDhTQAObCulbpRzFACPEKgE9JKZfWcmCEEDPeLBCfu/lFHDrFSh9nWTikywoQJviiogtoJYzbOnMuYXnCjNGhfZg80O60b8K3zGkXlgc6FSR6ZTHVnWe90CLQ/jGF/3CHZeFw9cNCKsmC55YQUkUCBbSUcrJpuRDiDADXAjipVoMipE9juNDnCxKL1m3H7qNbQ6sKFgqWhUMPBldDQOvR5QZbdEpZFMVfO2EaJgxrCe2j5LMrg9h1VfMOEECpAA+0bm3xrlX78EbNrXXhwyxETGNXTh5oeqBrB88tIaSaxPZASyn/DWBkDcZCCIE5UHb1I4tw4q+fwPxV21zZJLyoUt66kJsxdmDFY9JFbYOtDAtSOkVdojxuK6WfTWnsFGHdp1PCuH/9RsO7WrdweIVVqdLgoXmg9b8ZTiaEkIpIsmk4toAWQgwoZztCSDBSSuy0Jw2adNcrK7YAAFZt2RnqaVZp7PQ+fvaBfSsen14GO2P7hq30edZYgiYA3n/RkXjoK0cCMPuZU66IrbJwaBFoQ5/+Qirmfbuj1+42KiOHSSyrtv0a0njm4mN868POv95dWXmgqblrBs8tIfVDPXxdwyYRfsWweAiA0wBcXbMREdLH+MLNL+Lu11YDAF7+/vHGR81K6OWldKWt86JKeetiwVRZLy5pbZaeKt9dkEWBGyRO9Il7pSj6lQ3rEBzBDirlrXuuVYtPHDYZr6/c6uyrIS0cQfydU/bAzImD8bP7FwKwC8UYyhxGr0QY2Cx4+/ibkIjw3BJCqknYJELvlU8CWAPgPCnla7UbEiF9CyWeAeDt9duNwkt5dfMFaRRwa9s6AKg0drKsHMRh6FFelblCSun4gaP4fQ/bbbhvmSgVgY7w+C5o13qGDdX39987AwBw7eNvAwAyqRSEsHwo00a34oCJQ7Ftp5WmbntnDg2G9B6RI9As5Z0oeG4JqT9KFuDqQcImEf6gOwdCCLGiuqbLvIqy5goS+bx/UqAq150vyMA+KkG3OmRSxQi00pJRBHtDOoWvn7i7E+EFAo41wAQtbDXt/UENEkZ6ho0gD3RrcwY7utx5neev3ub8bYpAh6YFrFCkUeLVDp5bQuqHerjfDfUyCyE+KoR4UQixw/43Rwjxke4aHCF9EZMgVBHgQkEiZA6hY6uodgQ6yAOtJuqVG90rlcaukujDuMHFMt5B56O1ucG4XGHKEx1W0bHSs14PFw1CCCHhHuiPALgIwFcAvAjr2jATwM+EEJBS/rVbRkhIH0LALMJ0C0dYLaNCwRa1VRZiegRaeaClhDaJsLx+3QJaLfML6TAPtIkrz9wH+08YYtwPUIycmyLMDWmBrH2XYkpzF5YFpdIbF9oMagdPLSH1R71m4fg8gPdLKR+VUm6VUm6RUj4C4Ex7HSGkyhS8pYtsUpqADs0DbSVnjizkGgwC0oTugc5ovuA4Fo5SOMJZW+Y61Bj7OGDSEFefXlS/7n1ZC5syxUmXxvzSIeefIi25MA80IfVDPQQTwgT0QFO1QXtZ5YllCSE+8gVpzoNs/y9RzL1s3N62VUT96TFZFEyYItAAMKK1CQAwpH9jxD0Go3bhKqRi/x/3tzTlEeNega9bT9QPtdqXHuE3/YhHzQNNEgbfHEJIFQnLwrGzzHWEkDIJsmcoHSdleAT0yvusCXq7j4qWPs4S0HkcO30kxg/ph788u8zYzuSBBoDPHbUrxg/ph/fuMybS/sJQYlUXu51ZKzd2UyaNnfbfxcNXVhJTfmlv30H79Osqrz6eMrw/Fm/Y4bwOz8JBlUYIIdUiwQ6OUAG9hxDiVcNyAWBKjcZDSJ8mL6Ux6qk/fg7zQDvtI+o4x89cop3bwuFOaXfGzPHRdob4Y9/WYWXIGNgvgw5bQEfBK2R9EWgt/d7XT9wda7Z24MBJQ611njH+8qz98L5rnnZeh3mgGeVMLry3IYRUk1ABbVgmAIwH8O3aDIeQvk2+IEMv9BIItXAoFq5ti7S/tFaWO8yakPaI5lqiH/+Xjp2Kjds7cdq+Y3H9k0vK6gPw61p1pCkhsNe4Qbj/y0cW13lOQ78GdyGasAg0NVpy4XtDCKkmgVdCKeUy9Q9WBcIvAHgMwI8A3NM9wyOkbxGUQCOqhUPvJwoqsixleGRVnzhoylwRFe+4fvy+vX1t9Gj76EHNuO4js0qmm/PiTYnnz8Jhe6AN23orPTY3uH8mw9LY0cKRXOphUhIhxEOC03AECmghxDQhxPeFEG/AKt29HICQUh4tpWQpb0JqgBWBNlg49NzIVfxBUdk9JIqT435w2p6GdsW/TdX5ymW/XQb791VC5wQd/QNaFNkrZL3n1MnCYTjXSlw/aPfX7IlA17COCqkhfGsIqS+S/nsadiVcAOBYAO+VUh4upfwtgOgmREJIbPJShloEJKQvQloJKScCLZ3Iav+mDCYNa8FvPryf065qEegIbcqNFE7TJk76JhF6x+Fk4fD3o06vsqp4BXRoIZWE/+ATQgipDmEC+kwAawA8KoT4oxDiWPAmnpCasnxTO7buzBrWFK0WYRHQuKjMFv0bM04EujGTwmNfPxqn7zfOaecq5V2BgI5CKsB2scvQFgDA+CH9UAqvCPdGpGXAch11zF4LR76GhVRI7eBbQ0j9kVwDR7gH+j9SyrMATIflff4ygFFCiN8LIU7opvER0qe48v6FxuXq4t+RzeP3j71d8X6mjOgPABg9sBkAcODkoY4wbDB4KFyZNyqwcEQJngdFoM+cOQ43ffJgfPAAK+vH1FEDAADD7VzUOqXS2IV5oBUqAt1o/3/E1OEA3HmgJwxtwb8+966QXkhSYCEVQuqLpH9jS14JpZQ7pJQ3SynfAysDx8sALq71wAjpi/RvTIeu/83Db1W8j++eugdO2nM0AODASUNxzxePwCcOm+RYE0zV91LaslS5dbsjEpyzWeDwqcMdgf3V46fh1s8cgplayW5FqUmESsiHHYs6D0IILL3iVHzzpOkA3Fk4Tt5rNGZOGOwaI0kmfGsIIdUkVihJSrlJSvkHKeUxtRoQIcSPuva32XmRKyElhEtYzhg7EEIIZFUEOuP/WchUSTTLCA/kotogMukUDpkyLFIfXmEbxQbjLXOu+tQj0HolQ6tNcH8qgk0IIaT+qW1CV0JILLrD75VOCUcM6oIvayeYbjTkeTZFpScOa6nKeM7Yf5zrdTWkuvAcgj8PtCqk4t9ba7OVHt97zMVUgtK3rLif4NH/6PS9QkZMCCHES4Kz2IUWUiGE9EJSqWLUVBeQXTlbQBsi0F4xefcXD8fYQaUn83kx5Zr+5Vn74Zdn7ee8rsajdsfCAf9xAnoaO/+2d154OO56ZZUv97TqQ49eezcPGzsnGPYsPP2E1BdJt8RRQBOSIILutqv5O5ISZquBikCbKg2mPQPYc+ygsva9M0Y57kooNYlQRZFN52Hy8P74v2On+parPvKF4Ah0mIUj4deCXg8nERJCqgktHIR0I125QkCaOotKiqQMH+DPRmEiLYRRTFxy2p7YZ/wgTB/d6ltXrYmDcQR0JYLH54H29KU0cJx9qJZ6JUj/9gL7jh+EwS3xKid6mTpyQEXbEz+8gSGk/ogyb6anYASakG5i7rLNOPP3zwAAll5xaqxtowi9MIEghDvzhKOHtW1mThiCOy88PNa44nLRcVOxtT2LVEpgztJNoW0r+eFssm0o6px49X+YhSMIvZy6d5n++r8B5zDqvp65+BgM7d8YfWAkEtTPhNQXSf/OUkAT0k0o8QxYdomGdAqdOXdENkgyRhFfYUHilBBOBcOUEDVPRRfEyNZmXHPuzJrvx+edC8oDHSssqTzQ0rOkSJjPOeq+xg6O7y0nhBDSvdDCQUgPoNLR3fDUUveKAAVdiGDtCK2qp60zWJwTSTU9q95zo8pze6sMhvdh/Z8rBIegw0bcQ/csxCbpE5IIIX6YhYMQ4kJ5gXd2ufM6B/1WdGQLJfsMkwe6dtDzQPc2Jg1rwdKN7b7l3sP94rG7oTGTwodm7RK5b5MAKzVZ0T2GXnrS6wSefULqi6Rfp+okFkVI7+JPTy6x/vClVzNL6EKEyh9hETafgO6lcuJ//3c4nrm4WOfJsXp7zk1LYwZfOX6aMeNIEKYz5j2P4RaOyLsiNYDnnxBSTSigCekBVm6xoqTeCOaOLnOWilwEAf2LD+2LgyYNNa5LuSwc2k4T+Hiskkd2rc0NRg9xNewTJgHmWxYagSaEEBKHBF6iHCigCekBjp0+CkD04hr5CKrykCnDcNsFhxrX6fvpiwU9qnHIpqh9DP1MBd3D0ANNSH2R9CelFNCE9ADZguVpjjqJLYqFQ+eQKe5IdEqY/07i71NVdY7TWeWdRolAh1o4kniyCSGElAUFNCE9gCppPbglWr7fIAvHSXuO9i2b/8MT8bdPHuxads7BE52/e7OFI6gzbynycjALaFGyjYJZOAghJB5JzsJBAU1ITHZ05vDm2jYAwOYdXcjlS2fI8KLKZucjRpaDItAmwdbSmPFNjvvmSbujtdlKutNTOaB7AnXWqnHEUSwAYVFmWggIISQGCf/JpIAmJCaf+sscnPCrJ7C9M4f9f/QgfvHgm7H7yNoR6KjiO8gDHdXPLIRAoy2q9ZzQSf+BqpRqRi+MWTh8Fo542xNCCKlPKKAJiciG7Z1Y19aBZxdvBACsb+sEANzx0srYfSnhrIS0l/98/l2u10GR6nKCmvUyibAaw1TlwKtxzEYLh1cWlyinTgghJDoyiT5DGxZSISSEXL6Andk8WpsbMOvHD/nWAeHi7LUVW7FicztO3nuMa3kpC8d+uwzGIVOGYtzgFvzrxRWBlQjLsQWk9Nvm5P42VQV7rmZVxKvpffYVUgmzcDAGTQghkUn6LyYj0ISE8NXbX8Helz5gXGeKHm9p78Kki+/GbXOWAwDee/VT+NzNL/raXfXIIquPgtnCIYTArZ85FCftZU0SDBLajWXU5U4nPBS659iBOGP/cfjlh/aruK9q3h9UbOHgry0hhPQaGIEmJIT/vrwKgLlCoIoi6yJqnW3ruO6JxZHKROcCLBwKJchMOvvTR0zG54/aDf96cUXJ/bj6TEX3QN930RFozqRj9V8pmXQKvzxrv6r0pd63qtwzRLBwhFaDrMIQCCGEJAMKaEIiYIoA5wp+Ad2vwRKb23ZmI/VbqsKgErs5j4Ie2JzBd06dEWkfvj71AZcI0U4fPbCsfSSNatgnjIVUvBaOUA80JTQhhMQiwTbDmj5UFEKcJIRYKIRYJIS4OKTdgUKIvBDiA7UcDyHlYhK6ysJhElYFKbHfD83WD1e/JbJwKLGrC/jnv30snvzmMSX7DqIaOZHrBfXgoCqVCCP0wSwchBBSHZIec6hZBFoIkQZwDYDjAawA8IIQ4k4p5XxDu58CuL9WYyGkUkwCWtkvXAFdu1lBAlvaS0ehS0WglV9ZbzdqYHPJfsNIeiXCalLNLBymPvxR5bA80BUPgRBCSEKoZQT6IACLpJSLpZRdAG4FcLqh3f8B+BeAdTUcCyFloaK1eYNXOWvIwqGyZZg8015um7Mcd9oe6yCU2I1acCUKcSwc9U6hmhHoCMtCLRy9/W6FEEKqTJIvUbX0QI8DsFx7vQKAq76wEGIcgPcDOAbAgTUcCyFlkRJAHn4PMqBNItSWKQFdSu/2a0jjG/98tfT+U34Lh5fpo1sxfkhLyb4UfcnCUU3Mpbzdr8Mi3YxAE0JIdJIedKilgDYduVcF/BrAN6WU+dDZ60J8BsBnAGDChAnVGh8hJbEEkQz1QOufdNUsW8LbHFRZ0Lz/cAF930VHRupLfcVcIi/Zv08Vc8reY3DVw29h+ICmivsy/Zh7BXPY6aSAJoSQ3kMtBfQKAHoer/EAvM+rZwG41RbPwwGcIoTISSnv0BtJKa8DcB0AzJo1K8kRfdLLSBk8yIodXTkAQJMrzZvVrpTlohDRkqHSPJfySkdBafYyUkfXLRcdOxWfPHwyBvVrqLyzCBFoWjgIIaR6RLFD9hS1FNAvAJgqhJgMYCWADwM4R28gpZys/hZC3AjgLq94JqQnCfNA7+i0BHRzQ1GRKp1b6jsfVFnQi3oy05nLR2ofhb7kgU6lRHXEM8wZNryLaOEghJDqkPTfzJoJaCllTghxIazsGmkAN0gp5wkhLrDXX1urfRNSLZRoMlUMVAJa5X4GisLY5JnWiRpQVlk41m6zCrT0byy/qImyjTT0pRB0FTHazGL8wif8WkAIISQGNS2kIqW8B8A9nmVG4Syl/Fgtx0JIOYRN4tveaUWFm3UBbevmaiXN8EY0n/nWsWX3pY6BAro8Ks7CYa/kJE5CCIlGgh0crERISBhOHuYQC0dTRrdwmL/t5fq4Uh6tW4kdQQ0hkxbOOFMUc5GpNAtHOiXwpWOn4oQ9R1V5ZIQQ0vtI+tWJApqQEFTUcGfW70FWkwijUG5EuhoFQIpjsCPQqZSTJaSBAjoyxlLe9rLBLQ3Y0p4t6ej48vHTajE0Qggh3Qyf5RISgnI7nPn7Z3zrVBo73d4RFIHetKOrzP1XT+CqcWbSQvubPwFRCYtAqycV1bzhIYSQvk6CHRwU0ISEkQ4RRP97xcrKmCtInPPH5/DkW+sDI80HXfZQWfuvZoBYiftMWjjin37c6BgFtP2/ssLwbBJCSHUIqw+SBCigCQkhyhd4S3sXnnl7Iy78+0shHujy9l/NiOZvPrw/ZowZiMZ0Cnl7tmNDOtk/UEkirJCKutFK+O89IYSQKkEPNCEhRInQFnM/y6rPGK6mgD5l7zE4Ze8xAIDpowcCAKaOaq1a/70d41uhLBzO54QKmhBCqgWzcBBSp0QR0HqGjWpXTaqVxeKMmeOw9/hBmEYBHZmwNHZd9qTMlgrydBNCCKkfaOEgJIQoAWBVZluievmf4+y/vH4FxXNMTE8DlMVH3TcNrFLVQ0II6esk/XkeI9CEhBA2iVCh54iOWqI78v45yS8xhE0ivOlTB+H+19dWVCmSEEJI/UABTUgIUQTswrVt1h+y+n4tpkVLDqYJpWrR9NEDHV85IYSQ6iATnMiOFg5CQoiTRkeiPA/08TOsynSmKoMU0MmGbw8hhNSIhP++UkATEkKcOiNSytge6LMP2gXfPmUPAGYxRgdHsjGltiOEENL7oYAmJIQ4EWBrEmE8BS2EwJhBzQCA0/YdW9H+SffDt4cQQmoH09gRUqfEFbCxBTSA5oY0Xv/BiQCAvz67zL1/hqATTdIrZRFCSL2S9F9XRqAJCSFOFgwpEXu6gxLoA5oyyBj2Rf2cbPj21Cfv28//tIcQQuJAAU1ICHEErISMPYlQD2Caot1MY0dI9fnFh/br6SEQQuocCmhCQoht4SiU379JK9MDTUj14Y0pIckn6RY5CmhCQog1iVCWM4kwfF8U0IQQQkjyoIAmJIS4kaq4Hmg9DZppwiADZckmwRPECSGk7imntkJ3QQFN+hwX/+tVvP93T0dqGycAXE4hlVICmY+aCSGE9EWS/gCWaexIn+PWF5ZHbhtLD0vELqRS6gdC94Cdc/CEeJ0TQgghpCYwAk1ICDLmQ/q4Hug4HufL3r93rL4JIYSQeia5Bg4KaEJCiZNVw0pjF6//pM8yJoQQQnqCpF8dKaAJCSFORLnSLByEEEIIqQ8ooEmfZkt7F5Zt3BG4PqYFOnYEmnME65skzxAnhBBSOyigSZ/mtKufxrt/9ljg+jgCSUoZPwKd+IdUhBBCSM+Q5BgFBTTp07yzqR0AkA9InxEnq4aM2R5gBJoQQggxkfQ5QhTQhADoyOaNy+NEoEXM9kDyfyAIIYQQ4od5oAkBkM2b023EjSjHz8Lhfn3d+Qdgyoj+8TohhBBCeiFxU8l2J4xAEwKgK0BAx40of/e/rxuXf2jWeOfvycOLAtmbB/qEPUdjt5GtsfZJCCGE9DaS/nyWApoQANl85R5oAOjK+YX410/cHdNGFUVxv4Y0Pn3EZADJ/4EghBBCiB8KaEIAZA3CFyj9+Oi/XzisZN9em0b/pjQy6ZRxHSGEEEIsmIWDkIQTZOEoVYlw310GF9uGfNH1yYKfOmIKGuz0G7m4IW5CCCGkD5D0ABMnEZI+S0ETr7lAC0flAldo2Z4/9q5JOHHP0Vi4pi10vzq3X3AorR4JJcnREUIIIbWDEWjSZ8lr6idIKFdDQJvIpC1JnC0V4gZw4KShmDVpaE3GQeJx7Xkze3oIhBDSZ0hyjIICmvRZ9OIpwQK68v2YHkM12h7oKBFokhwOmjzM9XrG2IE9NBJCCOntJPvZKwU06bPoovmW2e/g8J8+EtqmErwiOmN7oIPyT5Nkor+Nb/3kZFd2FUIIIX0HCmjSZ9En8N0yezlWbN7pS0MXpp+DJjgcM31kyX2nVQSakwjrCvWeN2ZSaEjz55MQQmpJkueZcBIh6bMUDOJ1Z1cejZmiMAqLQHuLoETZRhVmabQ90DlGoOuK1uYGnLr3GJy239ieHgohhPRqmIWDkISSNwjo7V05DGppcF7rYlgI991w0Hfb5Gv2tlVp7RiBri/SKYFrzuVEQkII6evwGSTps5gEtDcirCfJSHtuh4Mi0DlPZg1TK7Vv5YUmhBBCiJfkBpkooEmfJW+wWngjwnoE2iuYgx4vhXljVW9KQKcpoAkhhBAfSb86UkCTPospAu31RXstHDpBEejPH7Wb67UQxXR4apuh/RsBAOMG94s1ZkIIIYT0PPRAkz6L0cLhE9DFv73RYlPw+NjpI7HriP6+5UqIKwF98l6jcfU5++OkPUfHHTYhhBBCehgKaNJnMQlo7zIZYuEwRaCFKE4QdJZBaJYN1U7gPfswkwMhhBASBNPYEZJATOnmvAJaf+nVy2YHhzAuV37rFD3PhPQYT37jaFeaSkJIcmEaO0ISiimFXNgkQq+FwxtpBixbh2myofJWezN5EEK6j12GtvT0EAghvQTeipM+hT5J0DiJ0BOVzms5nf1p7Pz9C+GfOZwSAio7HrNuEEIIIdFIsoWDApr0KfTUdQVDEUC9CMrOrjzaOnPOa5+32eSBhvBFoNMpAWknsDNtQwghhBA3IuGJ7GjhIL2eXzywEGMG9cM5B09wRZ3XbOvwtdXXr9q6EwAwfEAjNmzv8kWcgyLQ3u98SgCfOHwyVmzeiU8fMbns4yCEEEJIMmAEmvR6fvvIInz7P68BcFs0Pv3XOb62eSnxjxfewY1PL8GW9iyAYs5mZb9QwllFk+/+4uEY0dpkrxN+oZ0SGNjcgJ9/cF+0NjeAEEIIIaWRrERISDIw+Z7d6wv45r9ew6X/m++IbVVZ0Dt7XwnlPccOwun72inpDGnsOHGQEEIIiUfSL50U0KRPYfI96+S19WrCYcYW0M2ZtLXcU1UQKKanE/BbO5i6jhBCCOldUECTPoOU0jWJ0MSSDdudv1XbjC2Amxu8EeiiMBaarcM78SGo5DchhBBCgmEWDkISQGeuUNLCcdk9C5y/C57Uc95NdV2sbBop4X/sNGxAY3kDJoQQQvooSQ89UUCTPkN7Vx7ZfAkPh0be8UBbX+MJw9xFGHShrKLMwrP89+fOxFHTRpQ3YEIIIYQkEgpokjjWt3ViW0e26v3m8gV05aILaDWJMJ2yviZjBzXjka++G//+/LsAeDzQmoVDX37y3mOY+5kQQggpgwQ7OCigSfI48CcP4Uu3vFT1frvyBXTFiEA7kwi1SYBTRgzA4H5WKjpdFgs9Al3xSAkhhJC+TdKDTxTQJJE8unB91fvM5mWsCHTeI6DVZAZjFo6AvwkhhBDS+6CAJn2GXL6AzjIsHCoPtHqUNHZwMwDgS8dNddqqIHVBysTnriSEEELqgSRn4WApb9Jn6MoXYk0iVJHmtCePc0tjBkuvONW1TM/1nPTHToQQQgipDEagSZ8hV8LCscvQfq7XXgtHGNTMhBBCSN+BApokikKJPM2VkJfhAjqTcn8dlIUjk3Z7oE14i6cQQgghpPdCAU0SRa6GArpQkKFZOLyR5lzencYuDLVpgu1ahBBCSF0hE3xVpYAmieLhN9bWrO+CRHgEOu3+OuTsUoROFo6QLzItHIQQQkj1SPp1lQKaJIatO7P43M0v1qz/fEFiZzYfuN4bgc7mo1s4mLqOEEII6TswCwdJDLIG+WrWbetw/p63aiteX7k1sK0SygqVsaMhzftMQgghpNtJroODApokh2rbnx+avxaf+usc5/WP734jtH2Dx+usBHSU6LJqk+SclYQQQki9kPQHuwytkcSQ9yjoQkHiJ3fPx6srtpTV32NvrjMunzisxbjcH4FWkwhL7ytCpjtCCCGE9BJqKqCFECcJIRYKIRYJIS42rD9XCPGq/e8ZIcS+tRwPSTYFT/h2+eZ2/PHJJfj+f+eV1V9Qwo3+jeYHL96CKd4sHGEWExZPIYQQQqpLkh/q1kxACyHSAK4BcDKAGQDOFkLM8DRbAuDdUsp9APwIwHW1Gg9JPt4Udm0dOQBuH3MpdnTmHKEbpGkHNEUT0MrCkY5k4bD+T/KXnRBCCKkXkl5foZYR6IMALJJSLpZSdgG4FcDpegMp5TNSys32y+cAjK/heEjC8RZRuewey7McNTd0oSCx5yX346u3vQIAgV+9lqa0cbnX65y109gpC0foKBiBJoQQQvoMtZxEOA7Acu31CgAHh7T/JIB7azgekgC2dWQxsLnBuM7rgX7m7Y2u5Tu78ujXaBa/AJwiKf9+aSXe2dSO6WNaje2aMikI4Z/w5/UxL16/w1oeweBMDzQhhBBSXWqRnata1FJAmySF8UwIIY6GJaAPD1j/GQCfAYAJEyZUa3ykm3ls4Tp87M8vYNzgfthn/CDkChLPLd6I1y49EYBVattEriDx9vrtOPYXj+OKM/bGhw8yfwb0SPWcZZuxx5iBxnb3z1uLTEog59mf18f84HyrqEsUC0fSHzURQggh9UTSH+zW0sKxAsAu2uvxAFZ5Gwkh9gFwPYDTpZQbTR1JKa+TUs6SUs4aMWJETQZLas/cZZZbZ+WWnbj39TV4cP5ax+cM+CPQ+vLlm9oBAHe/tjqw/5xn1mDYl8/rdwaCo8iqbXghFdhtknu3TAghhJDqUEsB/QKAqUKIyUKIRgAfBnCn3kAIMQHAvwGcL6V8s4ZjIQmgucFsv1De5yABnSsUHBHrbfPYwnWYdPHd2LC900k7pwjqDwgS0GYFnWYpb0IIIaTbSXJIqmYCWkqZA3AhgPsBvAHgNinlPCHEBUKIC+xm3wcwDMDvhBAvCyHmBHRHejGqvLZX8E4f3epb7m1z/ZNLAADzV21DruCOQHflzHnsrjp7f6Mto5SADoNp7AghhJDqkfSrak0rEUop7wFwj2fZtdrfnwLwqVqOgfQ869s6ceBPHgpc396Vx1nXPYvmjDtCrQRwNi8d4ewrtmJbJlJCOHmbne0DEkEfMHGIcWJgkAZWi8MtHCpKTQghhJDeDkt5k5rz0jubQ9d3ZPN4feU23/JOLYKsxLE3pZ0joFP+dTu78sb9tTSksXVn1rc8sGR3pEmEhBBCCKkmSZ5WxFLepOZ4Kwx6CYoUd+aKAjgXFIG2NxUQvkmEO7pyMBGUCq+UVSPsKFL8JhFCCCFVI+nWSF72Sc0pVQjFa70AgOEDmtCZLQriIAvH7KWbAFhVA71CfHunPwLdvzEdOJmxku8q09gRQgghfQcKaFJzTAJZJ+sRvp999xQ0ZVLo1JYvXr8dQHBmjc5cwbefHZ3+CPRp+40LHEeQhSOKB9rZNMGPmwghhBBSHSigSc1o68ji/D89j7fWtYW28wroY6ePQjolXFk0fvGgleVw4do2nH3dc+jIuqPLXbmCr5/tHX4BnQ75xAc5OIq6OiyNHSPQhBBCSDVJckyKAprUjPteX4Mn39qAax59O7TdW+u2u16nUyLUj/zs4o245tFFrqIlr6zY4ssDvd0QgTZFmScP7x+4Dohmz6B8JoQQQqpH0q+rFNCkZnQG5GH28o1/vup6XUpAA1aZbV0wX/fEYvznpRWuNlEE9HmHTMDYwc0AKosiMwBNCCGE9B2Yxo7UDK+lIippIYyFTnTGD2nxTRp8Y3W4VQQwR5nVslL1UqKk01HVCn9/7kyMGtRcegNCCCGEGJEJzmNHAU1qRlAlwFKkUqVTyuUKBXR6fNBRBLvXAy1lcV+BFo4I0WWvzePkvceU3ogQQgghZhL+ZJcWDlIzyhXQ6ZRAe0AOZ4Upbd2CNdEj0KfuYwlcCTjR7mpEoAkhhBDS+6GAJjUjWyL/cxCZlMDSje2hbZ5etBFPL9oYu29VwvuQKcOcZcr7HOSBLmaoK308FNmEEEJIdUjyJZUCmtSMfKFMC0fEGXlfu/2VMvr2L1O2jkypEHQInERICCGEVI+kX1YpoEnNKFVAJYhMhXWxhw9oClyn7Br6F1N5oEv5rgkhhBBCAApoUkOiprHzUqF+xlUf3i+kb7dIlrJo3QgS0Cq6THsGIYQQ0o0k+LpLAU1qhi6gf/L+vfDE14+OtF2lkeCRA4sR6EZP2o2U43dWS6QTlQ7ar4qIeyctmqDIJoQQQion6RV+KaBJTcjlC9i6s8t5ffTuIzFhWAv6NaRLbluJgD548lA0a/toanB/xFXfahztXXnHFx2034OnDAUAHLvHqLLHRQghhJDeAwU0qQkX3DQX97y2xnmdSUcXxaWKqHj5jWbZmDF2IBozxY91U8b9EVddq/LdYwb1c54QBe13/JAWLL7sFJy279hY4yKEEEJI+UTJftVTUECTqrNiczseemOda1mciYFxI9Azxgx0/v7mSdPRlC5GoL2PgJRI3n/CEPz90wfjK8dPc9bp/uhHv3aUazuvd9pLnFR3hBBCCAkn2QYOCmhSA876w3O+ZSoCHUVgplPCiRADwLdPmQ4A2Gf8IGP7If0bnb+bG9IY2K9YYNObmk5PkfeuXYejMZNyfMt62/5Npa0mOirlddQUfIQQQgipXyigSdVZuWWnb5kSp1Em2aVTAndeeJjz+jNH7or/fuEwXPDuXY3th7Q0ul4LIXD4bsMBwOe5NkWS31q3HQDw1KIN2njjfTUK9oFRQBNCCCG9Hwpo0i0oQerVz1eeuY+vbUoINHiyZ+y7y2DjBMRT9h5ttHycd8hEAMBn3z3F07d/bIvXWwL6tZVbnWVxbSRKQFM/E0IIIdUhyZmtMqWbEFI5jj3C82UwTS7MpIQxfY13QiDgT1OnOGmv0Vh6xakAgFP3GYsDf/wQdmbzRmG8y9AWLFq3HT/7wL4YN7gfdmbzsasSSlo4CCGEkKqR9MspBTTpFpR1wuuBNgnatCagdxs5wFnuTUkHAGfMHF9y3wOaih9zkzDP2fmdR7Y2YcZYa0JiZy5fsl+dooUj1maEEEIIqUMooEmPYvIaK5H778+/C5OHFScTNqbdFo4rz9wHR04bEWt/plR1WbvkuJ7+Lr4H2vq/VLYOQgghhESDFg5CbLxfhgAHBgBg5oQhrtde7RvHp6y2NW2SK1gRaN0iElcHcxIhIYQQUj1EwhPZcRIh6Va8N5PpGJFev/iO/+UyRYhzdgS6qSE4f3TpsdHCQQghhPQVKKBJVVF+4iCkRwXHmaw3alCT63Ucu4RqaYoQZ+0xB01IjIKycCT9jpkQQgipF5JcnIwCmlSVRXZKOAA4YOKQkJYWcaLII1ub8cr3T8ARU60cz3FLflv78y/LFVQEuvyvw/gh/QAAu49uLbsPQgghhFgk3RFJDzSpKif9+knnb1N02W/hiPcNGdTSoG0ba1MA5gi0snBUEoE+YuoI3PGFw7BvQLVEQgghhPQeGIEmFfHOxnY8smCtcd1Fx03zLauGj1mhi+HrPzIL//rcobG2UVx9zv44YOIQY57pof0bfcuC2G+XwbG904QQQggxwywcpNdy5M8eBQCnaIniH585BAdPGVZyez1KPXFYC5ZtbC+5jfpC6eL7uBmjogzXKNhP2HM0TthztG/5fRcdgeEDmnzLCSGEENK3oYAmNSHqBD+93d1fPAI7OnNV3wdQzKoRJ+A9ffTA6I0JIYQQ0meggCY1Ybo9me6gyUNDRasegR7QlHFVDQxCzcotZxIh8zQTQggh9UGCHRwU0KR81m3rcP7O5QvIpFNobc7gzJnj0dpsTfa77bPhvuRqeaBruQ0hhBBCupekzyniJEJSNne/ttr5W5XD7swVYqWDK0dAVzKpoBLBTgghhBACUEAnhofmr8W7Ln8Ynbm8a7mUErfOfgftXTm0dWSdoh9JoJ9Wua8rV4CUEl25Apoy6ZCt3MQppOIlzs2paprwG1pCCCGE2CQ5CwcFdEL4wV3zsGprB1ZtKdoiFq5pw7G/eBwX//s1fOvfr2HvSx/A526a2+1ju/vV1Zh08d2Yu2yTa7k+ia8rX0BnzhL3pnRwQcQp5a1gBJoQQgjp3ST9ak0BnRAabCGpZ6H44i0vYfGGHQCApxdtAAA89Ma6bh/bV29/GQBw5u+fdS3X/cRRBbR3kmA5EwHVJMJyvlz0QBNCCCGkUiigE0ImbQm7ze1dvmUAsKU9263j6cjm8aenlqCtI4t9xg02tslpdpJsroD2Lkv8tzQGz031Cei0wANfPhJ3fOGwGGOzhXpDdKuIUtsU0IQQQgipFArohJCxI9DrtnXiybfWW8u00tK5Qjzfwk3PLcPqrTvLHs/fn38HP7prPu56dTVGD2oGAEwZ0d/VpksT0F35Ato6LAHd2hwsoL0OikxKYNqoVuy3y+DIYysK9RgC2oYWDkIIIaReSK4JmgI6Iaho81dvfwXn/2k2vvD3F8ueYLd5Rxe+e8frOPu658oez5adVsR7zdYOtHdZExu3d7iLnHTligJ6xeb2SAL6l2fth4MnD3VelyNoLzpuGlLCqlwYF+pnQgghJPkk/YExBXRCKHhmxt396uqy/MEAcNuc5QCAVVs7SrQMRglNKSU6spaAbvMI6E5NQH/zX6+hrcMS3SoHtIlDpgzDP7Tc0OUc4yl7j8Hiy08NtYoEEad6ISGEEEKICQroHuDe11bjXZc/7EpJt3Wn3+Ncjn7+wO+fweX3LgCAilLeCds0fNUji/CUPYFxZzbvSrN3y+x3nL8PnTLMEdgDQyLQXtLp7hG0ai/0QBNCCCH1AdPYERffv9NKWbdpR3HC4MbtXa42B04aEtvesK0jiznLNjuvj50+quwxygDf0asrtjp/r9hseax3GdoP6ZTATtvq0RKhHLeikjzQ5VBuVJ8QQggh3UfSL9cU0BXyn5dWYKmdai4qSjQqb/HOrrzzt6KtI+cS2FF4fOF6435++cBC/PfllbH6UpkuFCNbmwAAnVl/VLsxnUJXroAOOzodJw90d0eEy0g7TQghhBDiIr6JlDhk8wV8+R+vYPiAJsz57nGRt1Oi8dUVW/DEm+tx7B4jfW0WrGmLPR5vNDebLyCXL+CqRxYBAJZvaseFx0yN1NfOLrffeeTAJqxr68TOrFvojx/SDw3plJUH2hbXzRHSy7172gg8/ub6bo9A08JBCCGE1AcJdnAwAl0Jm+0I8YbtnaHtXli6CT/43zzntcq4cemd83DJnfMw17Zd/O7cmRWNp8vjee7KF7BBs4b8/IE3I/flFcoq40a7JqwHtzTgmOkj0ZSxI9DZ6BHo3583Ew9++UhXqr7ugGnsCCGEkOQjEl6LkAK6Au5+bTUASzA+smAtPvD7Z5A35Gv+4LXP4s9PL3Um9amo62a7OMr8VdsAwMm3HJelG3bgn3NXuNLKAZboXddWXiaOnR6rhjquDk1Yd+UKaEyn0JBOIZu3LBzplEBDBFHc0pjB1FGtZY2tHIQdeaZ+JoQQQkilUEBXwA/+Nx+AZZX4ws0vYc6yzdhmyKahUFHdjMeI+4Zt1xjevynSfn//2NtY31aMep9y1ZP42u2vuCLQg1sakM0XYvuoAeDhN9bif6+sci1T1gfdq92VK6CpIYXGjCWgO7OFWP7nnoAWDkIIIaQ+kAlOw5FstZNw9hgzEABQkEVxvL0zF9i+wxafXhvBnKWbAABDBzRG2u9P71uAK+9b4LxWora90/r/yW8cjZkThiCbl66IcVQ++Zc5vmVqzOo48wWJXEGiMZ22PND2JMIo/ueeQOlmCmhCCCEk+ST9ck0BXQHv2nWYb9k8245hQgnd5ZvafcubMin0N5Sm3nVEf1x0nH/iX2fOnw2jzRbvQ/o3otG2VXi9zDqrt+7ER2+YHWjz0PM5n3vIRADAlfctxLq2Dscu0pixItBdeYmObAHNCY1Aq5tYeqAJIYQQUinJVDt1grd6IABccNNcV7ERneWb2zHp4rsdoaszfEAThBC488LDcPhuw53l+YI0eoolgLnLNmHusk3OMlUJsCEt0JBJYcGaNtwye3ng+A+9/BE8/uZ6fOjaZ/HUWxswd9kmV0q+aaNasfSKU7Hk8lNwvi2gAeD2OSvw0nJr4mNTJmWnscujI5vcCLSClQgJIYSQ+iC5Bg6msauIIGvO6i0dmDS8v92m2OiFpZvNGwAY1M8qf73P+MHYZ/wgp/pfXko0GgT0/15Z5fMpv2hn87Am9llCcfaSTb5tvSzd2I7z/vS8b7kSm8LzHKWlMY1z/mi1VxHobF5iR2cO/WMUUelOihaOnh0HIYQQQkqT9Ms1I9AVYIpAA+6Jdts6itHmsAmG/TT7RqNmgygU4IjhUryyYisa0gJCCKPotvqzxvyJG18o2V9Q1T69yEpTxhLrXbkCdnTl0WKwoSQJViIkhBBCSKVQQFeAlMDQ/o1YesWp+NNHZ+Hbp0wHALyzqR3LNlpWCD1bxhNvrTf2AwDNDcW3Qhd5BSnREMNXnM1bAjnjEd0Xn2yNrSOXR6Eg8ciCdSX78vqF77/oSADuYypGoAto70pwBFr9TwFNCCGE1AUJTsJBC0clFKR0LAHH7jHKEY8X3DQXALD0ilPxtdtfcdovXh9c8lv3Oes+3aAodylyefd2KjLc3pX3lekOwqs1dx/dioHNGazdVpx0mM1LJwtHe2ceLcOSHYGmhYMQQgipAxIe8GIEugIK0h3R9E6gk1Li5eVbQvuYYafCy2o5nM8+aAJabTFekMDOrvip6No92/SzxzZ32WbM/NGDkfowpXxrbW7Aqq07ndebdnQil5do68xh8YYd6N/IezJCCCGE9G4ooCtASukyues2DADY0h7seVactt9YAHBVERzavxG3f+5QAJZn2VuiOwp6yW0ATnT8s3+bG7kPU7S2tTmDNVuLEegZYwa57CAtTcmOQNPCQQghhJBKoYCuACndUdp+ngj0ko3Blg3FGLt8t7cMt+orLyX232VI7LHtM36w6/WIVnOVw5kTBhuXA+YI9MB+DVhtC+hrzpmJw6cOd2UaGZBQD7QiyVWNCCGEEFIkyVdsCugK0D3QgN/C8dqKrSX7UMK2y+NZVsv332UwDt11GJ78xtF48htHl+zv9R+cCAD4/FG74s4LD8NJe47GCTNGYdZEswj/+GGTceo+YwAAXzthmktom6K1Kt0eAIwb0g8AMHJgs7OsJaEWjp9/cF9MH93qGj8hhBBCkknSnxcnU+3UCV4P9ND+7lLcl9w5r2QfA5stQZfz2DRaGjO46/8Oxy5DWgAAuwxtCawYqEinhBMBzqRT2Gf8YFx7/gGW1UQIHDhpiC8XdXNDGhn7LmDs4H544TvH4Z7XVuPzN79oTJ+nxgsAA2y7xu/Pm4lDL38EANA/oRaOY/cYhWP3GNXTwyCEEEJIL4AR6AqQUiKlncGGdArfPGl6rD6a7BR1u44Y4Fu317hBGNRSFKylqvwF5Tgu5ftVVo28nSP6uD1G4ZyDJ+AHp+3pazuwX/GeS0Wbxwzq51tGCCGEEFIJSbZdUu1UQEFKCM9Dhqhp5/55waEoSGDqqFb86qx9I0VHmzPhAvqcgyeErs/m/WPbbeQADLZF+vABln2jMZPCZe/f29iHHoE2Zdzon/BCKoQQQghJPkmf808BXQES/kwVR04dgZ/dv9C17EOzxuO2OSsAAMP6N+JLx03FrElDnfXv3398pP2FVSS86ZMH4+ApQwPXA25x/+ePH4ijpo2AEAJfO2F3TBvViqN2H1FyDEO0iLgp40ZLwicREkIIIYRUCi0cFVCQ/kwVe48fhLcvO8V5/Y/PHIIrP7Av/vyxAwEAl5y2Jz5y6KSy9qesGGcf5I80jx7U5CrGYuIn7ytGlY/efaTTX/+mDM4+aEKkFG/DBhQnGZr2xwg0IYQQQno7DBdWQEFK4yMGvQT2AXb2i6Onj8SDXz4SU0e1VrTPJZdb4nzO0k14a9127Dl2IOat2oYRA5pLbGmJ+ys/sA/eWttW9v6HDWgMXU8PNCGEEEIqJeEODgroSpBSGnMl62S0KG2l4hkoRqFvv+BQbNzRhZbGNF5ctsU12TCMD83apaL9Dx9gzietGNKfaeIIIYQQ0ruhhaMCCoWeM7kPbmnEriMGYMygfk4e5+5gWH9zBPqCd+8KoLTAJoQQQgiJQoKTcDACXQn5kAj0hUfvhjGDS9sq6o2h/Rtx/iETcciUYa7l3zxpd3zl+GklfdiEEEIIIaWIMi+rJ6GAroBsvuDkcfbytRN37+bRdA9CCPzofXsZlzdmkv1hJ4QQQgipBjUNFwohThJCLBRCLBJCXGxYL4QQV9nrXxVCzKzleKpNNl9weZwJIYQQQkh1kEiuh6Nm6k8IkQZwDYCTAcwAcLYQYoan2ckAptr/PgPg97UaTy3I5mVobmZCCCGEEBKfpKurWlo4DgKwSEq5GACEELcCOB3AfK3N6QD+Kq1ajc8JIQYLIcZIKVfXcFyxKRQk2jpygLAKpwhh1R9s68hheIm0boQQQgghJD7bO/PYujMLAGhtyiDlrV7Xg9RSQI8DsFx7vQLAwRHajAOQKAG9elsHDrvikZ4eBiGEEEJIn2DOss0AgH1/8AAA4JmLj8HYwf16ckguaimgTbcJXjNLlDYQQnwGlsUDEyb4q/DVmoHNGXzvPTMg7XwqBSkhJXD5vQvw7mmly18TQgghhJD4fO89lvt3YL9k1ZmopYBeAUCv2jEewKoy2kBKeR2A6wBg1qxZ3e4ob21uwCcPn+xb/qkjpiBBTxMIIYQQQnoVJv2VBGqZQuIFAFOFEJOFEI0APgzgTk+bOwF8xM7GcQiArUnzP4eRTonE5ykkhBBCCCHVpWYRaCllTghxIYD7AaQB3CClnCeEuMBefy2AewCcAmARgHYAH6/VeAghhBBCSH3w6SOSGXlWCJnkOokGZs2aJefMmdPTwyCEEEIIIb0cIcRcKeUs73JWASGEEEIIISQGFNCEEEIIIYTEgAKaEEIIIYSQGFBAE0IIIYQQEgMKaEIIIYQQQmJAAU0IIYQQQkgMKKAJIYQQQgiJAQU0IYQQQgghMaCAJoQQQgghJAYU0IQQQgghhMSAApoQQgghhJAYUEATQgghhBASAwpoQgghhBBCYkABTQghhBBCSAwooAkhhBBCCIkBBTQhhBBCCCExoIAmhBBCCCEkBhTQhBBCCCGExEBIKXt6DLEQQqwHsKyHdj8cwIYe2ne9wnNWHjxv8eE5iw/PWXnwvMWH56w8eN7iU+1zNlFKOcK7sO4EdE8ihJgjpZzV0+OoJ3jOyoPnLT48Z/HhOSsPnrf48JyVB89bfLrrnNHCQQghhBBCSAwooAkhhBBCCIkBBXQ8ruvpAdQhPGflwfMWH56z+PCclQfPW3x4zsqD5y0+3XLO6IEmhBBCCCEkBoxAE0IIIYQQEoM+LaCFEM1CiNlCiFeEEPOEED+wl18qhFgphHjZ/neKts23hBCLhBALhRAnassPEEK8Zq+7SggheuKYugshRFoI8ZIQ4i779VAhxINCiLfs/4dobXnOYDxn/JyVQAix1D7el4UQc+xl/KyVIOC88fMWghBisBDin0KIBUKIN4QQh/KzFk7AOePnLAQhxO7auXlZCLFNCHERP2vBhJyznv2sSSn77D8AAsAA++8GAM8DOATApQC+Zmg/A8ArAJoATAbwNoC0vW42gEPtPu8FcHJPH1+Nz91XAPwdwF326ysBXGz/fTGAn/KclTxn/JyVPmdLAQz3LONnrbzzxs9b+Dn7C4BP2X83AhjMz1pZ54yfs+jnLw1gDYCJ/KyVdc569LPWpyPQ0mK7/bLB/hdmCj8dwK1Syk4p5RIAiwAcJIQYA2CglPJZab1DfwXwvhoOvUcRQowHcCqA67XFp8P6MYX9//u05Txn5nMWBM9ZOPysVZc+f96EEP/f3v3HalnWcRx/fwJ/gBVoWjOoHXHmTHQExALLVbaWG3NrsbBw2V/Nyj+0lpVOanNt+odpi7SJkVs1BY3M+ifJki0yMBKOh8oYYcEgyBRyrbTg0x/3dTw3x+fn8ZEHzvm8tmf3fV/nun88333Hvlz3dd/P64GLge8A2H7R9gGSa021iFkzEz5mDVwC7LD9F5JrnarHrJmjErMJXUDDS7fVtwD7gXW2N5Y/XS1pUNKq2q2UGcCu2u67S9uMsj66fby6HbgOOFxre5PtvQBl+cbSnphVbuflMYPkWTsGHpa0WdKnSltyrb1GcYPkWzOzgL8D31U1zepuSaeQXGulWcwgedapy4F7y3pyrTP1mEEfc23CF9C2D9meA8yk+h/KbOBO4GxgDrAXuLV0bzRXxi3axx1Ji4H9tjd3ukuDtsSskjxr7yLbc4FLgc9KurhF38RtRKO4Jd+amwzMBe60/Q7gX1S30ZtJzJrHLHnWAUknApcB97fr2qBtQsatQcz6mmsTvoAeVm49PQp8yPa+UlgfBlYCC0q33cBbarvNBPaU9pkN2seji4DLJD0N3Ae8X9L3gX3l9ghlub/0T8yaxCx51p7tPWW5H/gRVYySa200ilvyraXdwO7aHcgHqIrD5FpzDWOWPOvYpcDvbO8r28m19o6IWb9zbUIX0JLOkDS9rE8BPgD8cTiJiw8DQ2X9IeBySSdJOgs4B9hUbrc8L+ld5YnOTwA/Plrf42iy/WXbM20PUN1K+YXtK6hic2XpdiUj3z8xaxKz5Flrkk6R9LrhdeCDVDFKrrXQLG7Jt+Zs/w3YJenc0nQJ8HuSa001i1nyrGMf48ipCMm19o6IWd9zrdunDsfTB7gQeAIYLIFfXtq/BzxZ2h8CzqztcwPVE51PUXt6E5hfjrEDWEH5kZrx/AHey8gbJd4APAJsL8vTErO2MUuetY7VLKonqbcC24AbkmuvKG7Jt9ZxmwP8tsTnQeDU5NqYYpY8ax+3qcA/gGm1tuRa9zHra67llwgjIiIiIrowoadwRERERER0KwV0REREREQXUkBHRERERHQhBXRERERERBdSQEdEREREdCEFdEREvCoknSrp55LWSZrW7+uJiOiVvMYuIiJeFZKWAG+m+gndXbbX9vmSIiJ6IiPQERE9Iuk2SdfUtn8m6e7a9q2SPtfD891TitSeknR9bX1A0lCr/rVr2SnpqlrzeuDG8llf63utpL9KWtHL646IOFpSQEdE9M6vgUUAkl4DnA6cX/v7ImBDH66rW9e379LQF2x/u7Z9CHgOOFDvZPs2YPkYzxER0XcpoCMiemcDpYCmKpyHgOfLXOCTgPOAJyQtl/S4pCFJd6lynqRNwwcqI7+DZX2epPWSNpdR7TNHn7hZH0mPSrpF0iZJf5L0ntI+VdIaSYOSVkvaKGm+pJuBKZK2SPpBOfwkSSslbZP0sKQpHcbjo8Ba4IfA0m6DGRFxrEoBHRHRI7b3AP+T9FaqQvoxYCOwEJgPDNp+EVhh+522ZwNTgMW2/wCcKGlWOdxSYI2kE4BvAktszwNWAV+rn7eDPpNtLwCuAb5S2j4DPGf7QuAmYF75Dl8C/m17ju1lpe85wLdsn081mvyRDkNyBXBv+Sxr0zci4rgxud8XEBExzgyPQi8Cvg7MKOsHqaZ4ALxP0nXAVOA0YBvwE2AN1ajtzVQF9FLgXGA2sE4SwCRg76hztusz/PDeZmCgrL8b+AaA7aHh0e4mdtre0uAYTUkaAKbb3lq2p0s6y/bOdvtGRBzrUkBHRPTW8DzoC6imcOwCPg/8E1gl6WTgDmC+7V2SvgqcXPZdDdwvaS1g29slXQBss72wxTnVps8LZXmIkX/31cV3eqG2fohq1LydZcAMSU+X7WnAxxk1eh4RcTzKFI6IiN7aACwGnrV9yPazwHSqaRyPMVIsPyPptcBLb9GwvYOqQL2RqpgGeAo4Q9JCqKZrSKo/mNhpn9F+RTXajaS3UxX8w/5bpoW8EsuABbYHbA9QTRHJNI6IGBdSQEdE9NaTVG/f+M2otoO2n7F9AFhZ2h4EHh+1/2qqucNrAMqc6SXALZK2AlsYeVCRTvs0cAdV0T0IfBEYpJpmAnAXMFh7iLArkuYCh21vr13jn6kK87ljOWZExLEkP6QSETEBSZoEnGD7P5LOBh4B3laK8bEc7x7gp7Yf6LD/J6mmsVw9lvNFRPRT5kBHRExMU4FflqkaAj491uK5OAjcJOn0Ue+CfhlJ1wJXUb3eLiLiuJMR6IiIiIiILmQOdEREREREF1JAR0RERER0IQV0REREREQXUkBHRERERHQhBXRERERERBdSQEdEREREdOH/aumlriSfunIAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(1, figsize=(12, 8))\n",
    "plt.plot(wave2, flux_ok)\n",
    "plt.xlabel('Wavelength [Å]')\n",
    "plt.ylabel('ADU')\n",
    "plt.title(file)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Generating a custom set with the complete library"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "985\n",
      "4367\n"
     ]
    }
   ],
   "source": [
    "num = 1\n",
    "dim1 = sp[0].header['NAXIS1']\n",
    "#dim2=1\n",
    "\n",
    "for path, subdirs, files in os.walk(root):\n",
    "    for nanme in files:\n",
    "        num += 1\n",
    "print(num)\n",
    "print(dim1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Filename: /Users/adrian/Documents/FITS_Library/Miles/miles_spec_fits_s0597.fits\n",
      "No.    Name      Ver    Type      Cards   Dimensions   Format\n",
      "  0  PRIMARY       1 PrimaryHDU      18   (4367, 1)   float32   \n",
      "Spectra loaded: 2 spectra\n",
      "Filename: /Users/adrian/Documents/FITS_Library/Miles/miles_spec_fits_s0981.fits\n",
      "No.    Name      Ver    Type      Cards   Dimensions   Format\n",
      "  0  PRIMARY       1 PrimaryHDU      18   (4367, 1)   float32   \n",
      "Spectra loaded: 3 spectra\n",
      "Filename: /Users/adrian/Documents/FITS_Library/Miles/miles_spec_fits_s0578.fits\n",
      "No.    Name      Ver    Type      Cards   Dimensions   Format\n",
      "  0  PRIMARY       1 PrimaryHDU      18   (4367, 1)   float32   \n",
      "Spectra loaded: 4 spectra\n",
      "Filename: /Users/adrian/Documents/FITS_Library/Miles/miles_spec_fits_s0082.fits\n",
      "No.    Name      Ver    Type      Cards   Dimensions   Format\n",
      "  0  PRIMARY       1 PrimaryHDU      18   (4367, 1)   float32   \n",
      "Spectra loaded: 5 spectra\n",
      "Filename: /Users/adrian/Documents/FITS_Library/Miles/miles_spec_fits_s0128.fits\n",
      "No.    Name      Ver    Type      Cards   Dimensions   Format\n",
      "  0  PRIMARY       1 PrimaryHDU      18   (4367, 1)   float32   \n",
      "Spectra loaded: 6 spectra\n",
      "Filename: /Users/adrian/Documents/FITS_Library/Miles/miles_spec_fits_s0201.fits\n",
      "No.    Name      Ver    Type      Cards   Dimensions   Format\n",
      "  0  PRIMARY       1 PrimaryHDU      18   (4367, 1)   float32   \n",
      "Spectra loaded: 7 spectra\n",
      "Filename: /Users/adrian/Documents/FITS_Library/Miles/miles_spec_fits_s0651.fits\n",
      "No.    Name      Ver    Type      Cards   Dimensions   Format\n",
      "  0  PRIMARY       1 PrimaryHDU      18   (4367, 1)   float32   \n",
      "Spectra loaded: 8 spectra\n",
      "Filename: /Users/adrian/Documents/FITS_Library/Miles/miles_spec_fits_s0344.fits\n",
      "No.    Name      Ver    Type      Cards   Dimensions   Format\n",
      "  0  PRIMARY       1 PrimaryHDU      18   (4367, 1)   float32   \n",
      "Spectra loaded: 9 spectra\n",
      "Filename: /Users/adrian/Documents/FITS_Library/Miles/miles_spec_fits_s0714.fits\n",
      "No.    Name      Ver    Type      Cards   Dimensions   Format\n",
      "  0  PRIMARY       1 PrimaryHDU      18   (4367, 1)   float32   \n",
      "Spectra loaded: 10 spectra\n",
      "Filename: /Users/adrian/Documents/FITS_Library/Miles/miles_spec_fits_s0939.fits\n",
      "No.    Name      Ver    Type      Cards   Dimensions   Format\n",
      "  0  PRIMARY       1 PrimaryHDU      18   (4367, 1)   float32   \n",
      "Spectra loaded: 11 spectra\n",
      "Filename: /Users/adrian/Documents/FITS_Library/Miles/miles_spec_fits_s0893.fits\n",
      "No.    Name      Ver    Type      Cards   Dimensions   Format\n",
      "  0  PRIMARY       1 PrimaryHDU      18   (4367, 1)   float32   \n",
      "Spectra loaded: 12 spectra\n",
      "Filename: /Users/adrian/Documents/FITS_Library/Miles/miles_spec_fits_s0190.fits\n",
      "No.    Name      Ver    Type      Cards   Dimensions   Format\n",
      "  0  PRIMARY       1 PrimaryHDU      18   (4367, 1)   float32   \n",
      "Spectra loaded: 13 spectra\n",
      "Filename: /Users/adrian/Documents/FITS_Library/Miles/miles_spec_fits_s0485.fits\n",
      "No.    Name      Ver    Type      Cards   Dimensions   Format\n",
      "  0  PRIMARY       1 PrimaryHDU      18   (4367, 1)   float32   \n",
      "Spectra loaded: 14 spectra\n",
      "Filename: /Users/adrian/Documents/FITS_Library/Miles/miles_spec_fits_s0606.fits\n",
      "No.    Name      Ver    Type      Cards   Dimensions   Format\n",
      "  0  PRIMARY       1 PrimaryHDU      18   (4367, 1)   float32   \n",
      "Spectra loaded: 15 spectra\n",
      "Filename: /Users/adrian/Documents/FITS_Library/Miles/miles_spec_fits_s0256.fits\n",
      "No.    Name      Ver    Type      Cards   Dimensions   Format\n",
      "  0  PRIMARY       1 PrimaryHDU      18   (4367, 1)   float32   \n",
      "Spectra loaded: 16 spectra\n",
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     ]
    },
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     "output_type": "stream",
     "text": [
      "Spectra loaded: 37 spectra\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Spectra loaded: 73 spectra\n",
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     ]
    },
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     "output_type": "stream",
     "text": [
      "Spectra loaded: 108 spectra\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Spectra loaded: 143 spectra\n",
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     ]
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     "output_type": "stream",
     "text": [
      "Spectra loaded: 178 spectra\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Spectra loaded: 213 spectra\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Spectra loaded: 318 spectra\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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     ]
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     "output_type": "stream",
     "text": [
      "Spectra loaded: 423 spectra\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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     ]
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     "output_type": "stream",
     "text": [
      "Spectra loaded: 493 spectra\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Spectra loaded: 528 spectra\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Spectra loaded: 563 spectra\n",
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      "  0  PRIMARY       1 PrimaryHDU      18   (4367, 1)   float32   \n",
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      "  0  PRIMARY       1 PrimaryHDU      18   (4367, 1)   float32   \n",
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      "  0  PRIMARY       1 PrimaryHDU      18   (4367, 1)   float32   \n",
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      "  0  PRIMARY       1 PrimaryHDU      18   (4367, 1)   float32   \n",
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      "  0  PRIMARY       1 PrimaryHDU      18   (4367, 1)   float32   \n",
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      "  0  PRIMARY       1 PrimaryHDU      18   (4367, 1)   float32   \n",
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      "  0  PRIMARY       1 PrimaryHDU      18   (4367, 1)   float32   \n",
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      "  0  PRIMARY       1 PrimaryHDU      18   (4367, 1)   float32   \n",
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      "  0  PRIMARY       1 PrimaryHDU      18   (4367, 1)   float32   \n",
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      "  0  PRIMARY       1 PrimaryHDU      18   (4367, 1)   float32   \n",
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      "  0  PRIMARY       1 PrimaryHDU      18   (4367, 1)   float32   \n",
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      "  0  PRIMARY       1 PrimaryHDU      18   (4367, 1)   float32   \n",
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      "  0  PRIMARY       1 PrimaryHDU      18   (4367, 1)   float32   \n",
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      "  0  PRIMARY       1 PrimaryHDU      18   (4367, 1)   float32   \n",
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      "  0  PRIMARY       1 PrimaryHDU      18   (4367, 1)   float32   \n",
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      "  0  PRIMARY       1 PrimaryHDU      18   (4367, 1)   float32   \n",
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      "  0  PRIMARY       1 PrimaryHDU      18   (4367, 1)   float32   \n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Spectra loaded: 598 spectra\n",
      "Filename: /Users/adrian/Documents/FITS_Library/Miles/miles_spec_fits_s0881.fits\n",
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      "  0  PRIMARY       1 PrimaryHDU      18   (4367, 1)   float32   \n",
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      "  0  PRIMARY       1 PrimaryHDU      18   (4367, 1)   float32   \n",
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      "  0  PRIMARY       1 PrimaryHDU      18   (4367, 1)   float32   \n",
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      "  0  PRIMARY       1 PrimaryHDU      18   (4367, 1)   float32   \n",
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      "  0  PRIMARY       1 PrimaryHDU      18   (4367, 1)   float32   \n",
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      "  0  PRIMARY       1 PrimaryHDU      18   (4367, 1)   float32   \n",
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      "  0  PRIMARY       1 PrimaryHDU      18   (4367, 1)   float32   \n",
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      "  0  PRIMARY       1 PrimaryHDU      18   (4367, 1)   float32   \n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Spectra loaded: 633 spectra\n",
      "Filename: /Users/adrian/Documents/FITS_Library/Miles/miles_spec_fits_s0496.fits\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Spectra loaded: 668 spectra\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Spectra loaded: 703 spectra\n",
      "Filename: /Users/adrian/Documents/FITS_Library/Miles/miles_spec_fits_s0530.fits\n",
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     ]
    },
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     "output_type": "stream",
     "text": [
      "Spectra loaded: 738 spectra\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Spectra loaded: 773 spectra\n",
      "Filename: /Users/adrian/Documents/FITS_Library/Miles/miles_spec_fits_s0147.fits\n",
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     ]
    },
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     "output_type": "stream",
     "text": [
      "Spectra loaded: 808 spectra\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Spectra loaded: 843 spectra\n",
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     ]
    },
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     "output_type": "stream",
     "text": [
      "Spectra loaded: 878 spectra\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Spectra loaded: 913 spectra\n",
      "Filename: /Users/adrian/Documents/FITS_Library/Miles/miles_spec_fits_s0330.fits\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Spectra loaded: 948 spectra\n",
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      "Filename: /Users/adrian/Documents/FITS_Library/Miles/miles_spec_fits_s0453.fits\n",
      "No.    Name      Ver    Type      Cards   Dimensions   Format\n",
      "  0  PRIMARY       1 PrimaryHDU      18   (4367, 1)   float32   \n",
      "Spectra loaded: 951 spectra\n",
      "Filename: /Users/adrian/Documents/FITS_Library/Miles/miles_spec_fits_s0900.fits\n",
      "No.    Name      Ver    Type      Cards   Dimensions   Format\n",
      "  0  PRIMARY       1 PrimaryHDU      18   (4367, 1)   float32   \n",
      "Spectra loaded: 952 spectra\n",
      "Filename: /Users/adrian/Documents/FITS_Library/Miles/miles_spec_fits_s0845.fits\n",
      "No.    Name      Ver    Type      Cards   Dimensions   Format\n",
      "  0  PRIMARY       1 PrimaryHDU      18   (4367, 1)   float32   \n",
      "Spectra loaded: 953 spectra\n",
      "Filename: /Users/adrian/Documents/FITS_Library/Miles/miles_spec_fits_s0146.fits\n",
      "No.    Name      Ver    Type      Cards   Dimensions   Format\n",
      "  0  PRIMARY       1 PrimaryHDU      18   (4367, 1)   float32   \n",
      "Spectra loaded: 954 spectra\n",
      "Filename: /Users/adrian/Documents/FITS_Library/Miles/miles_spec_fits_s0516.fits\n",
      "No.    Name      Ver    Type      Cards   Dimensions   Format\n",
      "  0  PRIMARY       1 PrimaryHDU      18   (4367, 1)   float32   \n",
      "Spectra loaded: 955 spectra\n",
      "Filename: /Users/adrian/Documents/FITS_Library/Miles/miles_spec_fits_s0795.fits\n",
      "No.    Name      Ver    Type      Cards   Dimensions   Format\n",
      "  0  PRIMARY       1 PrimaryHDU      18   (4367, 1)   float32   \n",
      "Spectra loaded: 956 spectra\n",
      "Filename: /Users/adrian/Documents/FITS_Library/Miles/miles_spec_fits_s0280.fits\n",
      "No.    Name      Ver    Type      Cards   Dimensions   Format\n",
      "  0  PRIMARY       1 PrimaryHDU      18   (4367, 1)   float32   \n",
      "Spectra loaded: 957 spectra\n",
      "Filename: /Users/adrian/Documents/FITS_Library/Miles/miles_spec_fits_s0957.fits\n",
      "No.    Name      Ver    Type      Cards   Dimensions   Format\n",
      "  0  PRIMARY       1 PrimaryHDU      18   (4367, 1)   float32   \n",
      "Spectra loaded: 958 spectra\n",
      "Filename: /Users/adrian/Documents/FITS_Library/Miles/miles_spec_fits_s0404.fits\n",
      "No.    Name      Ver    Type      Cards   Dimensions   Format\n",
      "  0  PRIMARY       1 PrimaryHDU      18   (4367, 1)   float32   \n",
      "Spectra loaded: 959 spectra\n",
      "Filename: /Users/adrian/Documents/FITS_Library/Miles/miles_spec_fits_s0054.fits\n",
      "No.    Name      Ver    Type      Cards   Dimensions   Format\n",
      "  0  PRIMARY       1 PrimaryHDU      18   (4367, 1)   float32   \n",
      "Spectra loaded: 960 spectra\n",
      "Filename: /Users/adrian/Documents/FITS_Library/Miles/miles_spec_fits_s0541.fits\n",
      "No.    Name      Ver    Type      Cards   Dimensions   Format\n",
      "  0  PRIMARY       1 PrimaryHDU      18   (4367, 1)   float32   \n",
      "Spectra loaded: 961 spectra\n",
      "Filename: /Users/adrian/Documents/FITS_Library/Miles/miles_spec_fits_s0111.fits\n",
      "No.    Name      Ver    Type      Cards   Dimensions   Format\n",
      "  0  PRIMARY       1 PrimaryHDU      18   (4367, 1)   float32   \n",
      "Spectra loaded: 962 spectra\n",
      "Filename: /Users/adrian/Documents/FITS_Library/Miles/miles_spec_fits_s0812.fits\n",
      "No.    Name      Ver    Type      Cards   Dimensions   Format\n",
      "  0  PRIMARY       1 PrimaryHDU      18   (4367, 1)   float32   \n",
      "Spectra loaded: 963 spectra\n",
      "Filename: /Users/adrian/Documents/FITS_Library/Miles/miles_spec_fits_s0238.fits\n",
      "No.    Name      Ver    Type      Cards   Dimensions   Format\n",
      "  0  PRIMARY       1 PrimaryHDU      18   (4367, 1)   float32   \n",
      "Spectra loaded: 964 spectra\n",
      "Filename: /Users/adrian/Documents/FITS_Library/Miles/miles_spec_fits_s0668.fits\n",
      "No.    Name      Ver    Type      Cards   Dimensions   Format\n",
      "  0  PRIMARY       1 PrimaryHDU      18   (4367, 1)   float32   \n",
      "Spectra loaded: 965 spectra\n",
      "Filename: /Users/adrian/Documents/FITS_Library/Miles/miles_spec_fits_s0392.fits\n",
      "No.    Name      Ver    Type      Cards   Dimensions   Format\n",
      "  0  PRIMARY       1 PrimaryHDU      18   (4367, 1)   float32   \n",
      "Spectra loaded: 966 spectra\n",
      "Filename: /Users/adrian/Documents/FITS_Library/Miles/miles_spec_fits_s0687.fits\n",
      "No.    Name      Ver    Type      Cards   Dimensions   Format\n",
      "  0  PRIMARY       1 PrimaryHDU      18   (4367, 1)   float32   \n",
      "Spectra loaded: 967 spectra\n",
      "Filename: /Users/adrian/Documents/FITS_Library/Miles/miles_spec_fits_s0042.fits\n",
      "No.    Name      Ver    Type      Cards   Dimensions   Format\n",
      "  0  PRIMARY       1 PrimaryHDU      18   (4367, 1)   float32   \n",
      "Spectra loaded: 968 spectra\n",
      "Filename: /Users/adrian/Documents/FITS_Library/Miles/miles_spec_fits_s0412.fits\n",
      "No.    Name      Ver    Type      Cards   Dimensions   Format\n",
      "  0  PRIMARY       1 PrimaryHDU      18   (4367, 1)   float32   \n",
      "Spectra loaded: 969 spectra\n",
      "Filename: /Users/adrian/Documents/FITS_Library/Miles/miles_spec_fits_s0941.fits\n",
      "No.    Name      Ver    Type      Cards   Dimensions   Format\n",
      "  0  PRIMARY       1 PrimaryHDU      18   (4367, 1)   float32   \n",
      "Spectra loaded: 970 spectra\n",
      "Filename: /Users/adrian/Documents/FITS_Library/Miles/miles_spec_fits_s0804.fits\n",
      "No.    Name      Ver    Type      Cards   Dimensions   Format\n",
      "  0  PRIMARY       1 PrimaryHDU      18   (4367, 1)   float32   \n",
      "Spectra loaded: 971 spectra\n",
      "Filename: /Users/adrian/Documents/FITS_Library/Miles/miles_spec_fits_s0107.fits\n",
      "No.    Name      Ver    Type      Cards   Dimensions   Format\n",
      "  0  PRIMARY       1 PrimaryHDU      18   (4367, 1)   float32   \n",
      "Spectra loaded: 972 spectra\n",
      "Filename: /Users/adrian/Documents/FITS_Library/Miles/miles_spec_fits_s0557.fits\n",
      "No.    Name      Ver    Type      Cards   Dimensions   Format\n",
      "  0  PRIMARY       1 PrimaryHDU      18   (4367, 1)   float32   \n",
      "Spectra loaded: 973 spectra\n",
      "Filename: /Users/adrian/Documents/FITS_Library/Miles/miles_spec_fits_s0384.fits\n",
      "No.    Name      Ver    Type      Cards   Dimensions   Format\n",
      "  0  PRIMARY       1 PrimaryHDU      18   (4367, 1)   float32   \n",
      "Spectra loaded: 974 spectra\n",
      "Filename: /Users/adrian/Documents/FITS_Library/Miles/miles_spec_fits_s0691.fits\n",
      "No.    Name      Ver    Type      Cards   Dimensions   Format\n",
      "  0  PRIMARY       1 PrimaryHDU      18   (4367, 1)   float32   \n",
      "Spectra loaded: 975 spectra\n",
      "Filename: /Users/adrian/Documents/FITS_Library/Miles/miles_spec_fits_s0916.fits\n",
      "No.    Name      Ver    Type      Cards   Dimensions   Format\n",
      "  0  PRIMARY       1 PrimaryHDU      18   (4367, 1)   float32   \n",
      "Spectra loaded: 976 spectra\n",
      "Filename: /Users/adrian/Documents/FITS_Library/Miles/miles_spec_fits_s0445.fits\n",
      "No.    Name      Ver    Type      Cards   Dimensions   Format\n",
      "  0  PRIMARY       1 PrimaryHDU      18   (4367, 1)   float32   \n",
      "Spectra loaded: 977 spectra\n",
      "Filename: /Users/adrian/Documents/FITS_Library/Miles/miles_spec_fits_s0015.fits\n",
      "No.    Name      Ver    Type      Cards   Dimensions   Format\n",
      "  0  PRIMARY       1 PrimaryHDU      18   (4367, 1)   float32   \n",
      "Spectra loaded: 978 spectra\n",
      "Filename: /Users/adrian/Documents/FITS_Library/Miles/miles_spec_fits_s0500.fits\n",
      "No.    Name      Ver    Type      Cards   Dimensions   Format\n",
      "  0  PRIMARY       1 PrimaryHDU      18   (4367, 1)   float32   \n",
      "Spectra loaded: 979 spectra\n",
      "Filename: /Users/adrian/Documents/FITS_Library/Miles/miles_spec_fits_s0150.fits\n",
      "No.    Name      Ver    Type      Cards   Dimensions   Format\n",
      "  0  PRIMARY       1 PrimaryHDU      18   (4367, 1)   float32   \n",
      "Spectra loaded: 980 spectra\n",
      "Filename: /Users/adrian/Documents/FITS_Library/Miles/miles_spec_fits_s0853.fits\n",
      "No.    Name      Ver    Type      Cards   Dimensions   Format\n",
      "  0  PRIMARY       1 PrimaryHDU      18   (4367, 1)   float32   \n",
      "Spectra loaded: 981 spectra\n",
      "Filename: /Users/adrian/Documents/FITS_Library/Miles/miles_spec_fits_s0279.fits\n",
      "No.    Name      Ver    Type      Cards   Dimensions   Format\n",
      "  0  PRIMARY       1 PrimaryHDU      18   (4367, 1)   float32   \n",
      "Spectra loaded: 982 spectra\n",
      "Filename: /Users/adrian/Documents/FITS_Library/Miles/miles_spec_fits_s0783.fits\n",
      "No.    Name      Ver    Type      Cards   Dimensions   Format\n",
      "  0  PRIMARY       1 PrimaryHDU      18   (4367, 1)   float32   \n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Spectra loaded: 983 spectra\n",
      "Filename: /Users/adrian/Documents/FITS_Library/Miles/miles_spec_fits_s0629.fits\n",
      "No.    Name      Ver    Type      Cards   Dimensions   Format\n",
      "  0  PRIMARY       1 PrimaryHDU      18   (4367, 1)   float32   \n",
      "Spectra loaded: 984 spectra\n",
      "Filename: /Users/adrian/Documents/FITS_Library/Miles/miles_spec_fits_s0296.fits\n",
      "No.    Name      Ver    Type      Cards   Dimensions   Format\n",
      "  0  PRIMARY       1 PrimaryHDU      18   (4367, 1)   float32   \n",
      "Spectra loaded: 985 spectra\n"
     ]
    }
   ],
   "source": [
    "curves = 0\n",
    "custom_set = np.zeros((num, dim1))\n",
    "label_set = np.zeros((num, ), dtype=int)\n",
    "spectra_set = [''] * num \n",
    "\n",
    "for path, subdirs, files in os.walk(root):\n",
    "    for name in files:\n",
    "        file = [os.path.join(path, name)]\n",
    "        str = \" \" \n",
    "        Ffile = (str.join(file))\n",
    "        route = Path(name)\n",
    "        Fname = route.with_suffix('')\n",
    "        Fpng = route.with_suffix('.png')\n",
    "\n",
    "        data, header = fits.getdata(Ffile, header=True)\n",
    "        hdu_number = 0\n",
    "        fits.getheader(Ffile, hdu_number)\n",
    "        fits_file = Ffile\n",
    "        \n",
    "        with fits.open(fits_file, mode='readonly') as hdulist:\n",
    "            hdulist.info()\n",
    "            data = np.array(hdulist[0].data)\n",
    "             \n",
    "            data_norm = np.reshape(data/(np.nanmax(data)), (sp[0].header['NAXIS1']))\n",
    "\n",
    "            \n",
    "            label_set[curves] = curves \n",
    "            spectra_set[curves] = name\n",
    "            for i in range (dim1):\n",
    "                custom_set[curves,i] = (data_norm[i])\n",
    "        hdulist.close   \n",
    "        curves += 1\n",
    "               \n",
    "        print (\"Spectra loaded:\",curves+1, \"spectra\");\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Splitting the dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "label_set = np.asarray(label_set)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(TensorSpec(shape=(4367,), dtype=tf.float64, name=None),\n",
       " TensorSpec(shape=(), dtype=tf.int64, name=None))"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset = tf.data.Dataset.from_tensor_slices((custom_set, label_set))\n",
    "dataset.element_spec"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "x_train,x_test,y_train,y_test=train_test_split(custom_set,label_set,test_size=0.2,random_state=123)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## VAE Definition"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "class Sampling(layers.Layer):\n",
    "    \"\"\"Uses (z_mean, z_log_var) to sample z, the vector encoding a digit.\"\"\"\n",
    "\n",
    "    def call(self, inputs):\n",
    "        z_mean, z_log_var = inputs\n",
    "        batch = tf.shape(z_mean)[0]\n",
    "        dim = tf.shape(z_mean)[1]\n",
    "        epsilon = tf.keras.backend.random_normal(shape=(batch, dim), mean=0., stddev=0.1)\n",
    "        return z_mean + tf.exp(0.5 * z_log_var) * epsilon"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "original_dim = dim1\n",
    "latent_dim = 12\n",
    "intermediate_dim = dim1/latent_dim"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "original_inputs = tf.keras.Input(shape=(original_dim,), name=\"encoder_input\")\n",
    "x = layers.Dense(intermediate_dim, activation=\"relu\")(original_inputs)\n",
    "z_mean = layers.Dense(latent_dim, name=\"z_mean\")(x)\n",
    "z_log_var = layers.Dense(latent_dim, name=\"z_log_var\")(x)\n",
    "z = Sampling()((z_mean, z_log_var))\n",
    "encoder = tf.keras.Model(inputs=original_inputs, outputs=z, name=\"encoder\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"encoder\"\n",
      "__________________________________________________________________________________________________\n",
      "Layer (type)                    Output Shape         Param #     Connected to                     \n",
      "==================================================================================================\n",
      "encoder_input (InputLayer)      [(None, 4367)]       0                                            \n",
      "__________________________________________________________________________________________________\n",
      "dense (Dense)                   (None, 363)          1585584     encoder_input[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "z_mean (Dense)                  (None, 12)           4368        dense[0][0]                      \n",
      "__________________________________________________________________________________________________\n",
      "z_log_var (Dense)               (None, 12)           4368        dense[0][0]                      \n",
      "__________________________________________________________________________________________________\n",
      "sampling (Sampling)             (None, 12)           0           z_mean[0][0]                     \n",
      "                                                                 z_log_var[0][0]                  \n",
      "==================================================================================================\n",
      "Total params: 1,594,320\n",
      "Trainable params: 1,594,320\n",
      "Non-trainable params: 0\n",
      "__________________________________________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "encoder.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "latent_inputs = tf.keras.Input(shape=(latent_dim,), name=\"z_sampling\")\n",
    "x = layers.Dense(intermediate_dim, activation=\"relu\")(latent_inputs)\n",
    "outputs = layers.Dense(original_dim, activation=\"sigmoid\")(x)\n",
    "decoder = tf.keras.Model(inputs=latent_inputs, outputs=outputs, name=\"decoder\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"decoder\"\n",
      "_________________________________________________________________\n",
      "Layer (type)                 Output Shape              Param #   \n",
      "=================================================================\n",
      "z_sampling (InputLayer)      [(None, 12)]              0         \n",
      "_________________________________________________________________\n",
      "dense_1 (Dense)              (None, 363)               4719      \n",
      "_________________________________________________________________\n",
      "dense_2 (Dense)              (None, 4367)              1589588   \n",
      "=================================================================\n",
      "Total params: 1,594,307\n",
      "Trainable params: 1,594,307\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "decoder.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "outputs = decoder(z)\n",
    "vae = tf.keras.Model(inputs=original_inputs, outputs=outputs, name=\"vae\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"vae\"\n",
      "__________________________________________________________________________________________________\n",
      "Layer (type)                    Output Shape         Param #     Connected to                     \n",
      "==================================================================================================\n",
      "encoder_input (InputLayer)      [(None, 4367)]       0                                            \n",
      "__________________________________________________________________________________________________\n",
      "dense (Dense)                   (None, 363)          1585584     encoder_input[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "z_mean (Dense)                  (None, 12)           4368        dense[0][0]                      \n",
      "__________________________________________________________________________________________________\n",
      "z_log_var (Dense)               (None, 12)           4368        dense[0][0]                      \n",
      "__________________________________________________________________________________________________\n",
      "sampling (Sampling)             (None, 12)           0           z_mean[0][0]                     \n",
      "                                                                 z_log_var[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "decoder (Functional)            (None, 4367)         1594307     sampling[0][0]                   \n",
      "==================================================================================================\n",
      "Total params: 3,188,627\n",
      "Trainable params: 3,188,627\n",
      "Non-trainable params: 0\n",
      "__________________________________________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "vae.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "kl_loss = -0.5 * tf.reduce_mean(z_log_var - tf.square(z_mean) - tf.exp(z_log_var) + 1)\n",
    "vae.add_loss(kl_loss)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"vae\"\n",
      "__________________________________________________________________________________________________\n",
      "Layer (type)                    Output Shape         Param #     Connected to                     \n",
      "==================================================================================================\n",
      "encoder_input (InputLayer)      [(None, 4367)]       0                                            \n",
      "__________________________________________________________________________________________________\n",
      "dense (Dense)                   (None, 363)          1585584     encoder_input[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "z_mean (Dense)                  (None, 12)           4368        dense[0][0]                      \n",
      "__________________________________________________________________________________________________\n",
      "z_log_var (Dense)               (None, 12)           4368        dense[0][0]                      \n",
      "__________________________________________________________________________________________________\n",
      "sampling (Sampling)             (None, 12)           0           z_mean[0][0]                     \n",
      "                                                                 z_log_var[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "decoder (Functional)            (None, 4367)         1594307     sampling[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "tf.math.square (TFOpLambda)     (None, 12)           0           z_mean[0][0]                     \n",
      "__________________________________________________________________________________________________\n",
      "tf.math.subtract (TFOpLambda)   (None, 12)           0           z_log_var[0][0]                  \n",
      "                                                                 tf.math.square[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "tf.math.exp (TFOpLambda)        (None, 12)           0           z_log_var[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "tf.math.subtract_1 (TFOpLambda) (None, 12)           0           tf.math.subtract[0][0]           \n",
      "                                                                 tf.math.exp[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "tf.__operators__.add (TFOpLambd (None, 12)           0           tf.math.subtract_1[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "tf.math.reduce_mean (TFOpLambda ()                   0           tf.__operators__.add[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "tf.math.multiply (TFOpLambda)   ()                   0           tf.math.reduce_mean[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "add_loss (AddLoss)              ()                   0           tf.math.multiply[0][0]           \n",
      "==================================================================================================\n",
      "Total params: 3,188,627\n",
      "Trainable params: 3,188,627\n",
      "Non-trainable params: 0\n",
      "__________________________________________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "vae.summary()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Training"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/100\n",
      "394/394 [==============================] - 4s 8ms/step - loss: 0.2439\n",
      "Epoch 2/100\n",
      "394/394 [==============================] - 3s 8ms/step - loss: 0.0621\n",
      "Epoch 3/100\n",
      "394/394 [==============================] - 3s 8ms/step - loss: 0.0438\n",
      "Epoch 4/100\n",
      "394/394 [==============================] - 3s 7ms/step - loss: 0.0257\n",
      "Epoch 5/100\n",
      "394/394 [==============================] - 3s 7ms/step - loss: 0.0233\n",
      "Epoch 6/100\n",
      "394/394 [==============================] - 3s 8ms/step - loss: 0.0362\n",
      "Epoch 7/100\n",
      "394/394 [==============================] - 3s 8ms/step - loss: 0.0354\n",
      "Epoch 8/100\n",
      "394/394 [==============================] - 3s 8ms/step - loss: 0.0267\n",
      "Epoch 9/100\n",
      "394/394 [==============================] - 3s 8ms/step - loss: 0.0279\n",
      "Epoch 10/100\n",
      "394/394 [==============================] - 3s 8ms/step - loss: 0.0253\n",
      "Epoch 11/100\n",
      "394/394 [==============================] - 3s 8ms/step - loss: 0.0247\n",
      "Epoch 12/100\n",
      "394/394 [==============================] - 3s 8ms/step - loss: 0.0261\n",
      "Epoch 13/100\n",
      "394/394 [==============================] - 3s 8ms/step - loss: 0.0232\n",
      "Epoch 14/100\n",
      "394/394 [==============================] - 3s 8ms/step - loss: 0.0256\n",
      "Epoch 15/100\n",
      "394/394 [==============================] - 3s 8ms/step - loss: 0.0206\n",
      "Epoch 16/100\n",
      "394/394 [==============================] - 3s 8ms/step - loss: 0.0235\n",
      "Epoch 17/100\n",
      "394/394 [==============================] - 3s 8ms/step - loss: 0.0210\n",
      "Epoch 18/100\n",
      "394/394 [==============================] - 3s 9ms/step - loss: 0.0205\n",
      "Epoch 19/100\n",
      "394/394 [==============================] - 3s 8ms/step - loss: 0.0193\n",
      "Epoch 20/100\n",
      "394/394 [==============================] - 3s 8ms/step - loss: 0.0184\n",
      "Epoch 21/100\n",
      "394/394 [==============================] - 3s 8ms/step - loss: 0.0187\n",
      "Epoch 22/100\n",
      "394/394 [==============================] - 3s 8ms/step - loss: 0.0209\n",
      "Epoch 23/100\n",
      "394/394 [==============================] - 3s 8ms/step - loss: 0.0194\n",
      "Epoch 24/100\n",
      "394/394 [==============================] - 3s 8ms/step - loss: 0.0193\n",
      "Epoch 25/100\n",
      "394/394 [==============================] - 3s 8ms/step - loss: 0.0202\n",
      "Epoch 26/100\n",
      "394/394 [==============================] - 3s 8ms/step - loss: 0.0189\n",
      "Epoch 27/100\n",
      "394/394 [==============================] - 3s 8ms/step - loss: 0.0196\n",
      "Epoch 28/100\n",
      "394/394 [==============================] - 3s 8ms/step - loss: 0.0191\n",
      "Epoch 29/100\n",
      "394/394 [==============================] - 3s 8ms/step - loss: 0.0180\n",
      "Epoch 30/100\n",
      "394/394 [==============================] - 3s 8ms/step - loss: 0.0171\n",
      "Epoch 31/100\n",
      "394/394 [==============================] - 3s 8ms/step - loss: 0.0187\n",
      "Epoch 32/100\n",
      "394/394 [==============================] - 3s 8ms/step - loss: 0.0182\n",
      "Epoch 33/100\n",
      "394/394 [==============================] - 3s 8ms/step - loss: 0.0194\n",
      "Epoch 34/100\n",
      "394/394 [==============================] - 3s 9ms/step - loss: 0.0178\n",
      "Epoch 35/100\n",
      "394/394 [==============================] - 3s 9ms/step - loss: 0.0178\n",
      "Epoch 36/100\n",
      "394/394 [==============================] - 3s 8ms/step - loss: 0.0181\n",
      "Epoch 37/100\n",
      "394/394 [==============================] - 3s 8ms/step - loss: 0.0167\n",
      "Epoch 38/100\n",
      "394/394 [==============================] - 3s 8ms/step - loss: 0.0168\n",
      "Epoch 39/100\n",
      "394/394 [==============================] - 3s 8ms/step - loss: 0.0175\n",
      "Epoch 40/100\n",
      "394/394 [==============================] - 3s 9ms/step - loss: 0.0179\n",
      "Epoch 41/100\n",
      "394/394 [==============================] - 3s 8ms/step - loss: 0.0178\n",
      "Epoch 42/100\n",
      "394/394 [==============================] - 3s 8ms/step - loss: 0.0176\n",
      "Epoch 43/100\n",
      "394/394 [==============================] - 3s 8ms/step - loss: 0.0173\n",
      "Epoch 44/100\n",
      "394/394 [==============================] - 3s 8ms/step - loss: 0.0164\n",
      "Epoch 45/100\n",
      "394/394 [==============================] - 3s 8ms/step - loss: 0.0181\n",
      "Epoch 46/100\n",
      "394/394 [==============================] - 3s 8ms/step - loss: 0.0166\n",
      "Epoch 47/100\n",
      "394/394 [==============================] - 3s 8ms/step - loss: 0.0178\n",
      "Epoch 48/100\n",
      "394/394 [==============================] - 3s 9ms/step - loss: 0.0179\n",
      "Epoch 49/100\n",
      "394/394 [==============================] - 3s 9ms/step - loss: 0.0173\n",
      "Epoch 50/100\n",
      "394/394 [==============================] - 3s 8ms/step - loss: 0.0165\n",
      "Epoch 51/100\n",
      "394/394 [==============================] - 3s 9ms/step - loss: 0.0167\n",
      "Epoch 52/100\n",
      "394/394 [==============================] - 4s 9ms/step - loss: 0.0170\n",
      "Epoch 53/100\n",
      "394/394 [==============================] - 3s 9ms/step - loss: 0.0182\n",
      "Epoch 54/100\n",
      "394/394 [==============================] - 3s 9ms/step - loss: 0.0163\n",
      "Epoch 55/100\n",
      "394/394 [==============================] - 3s 9ms/step - loss: 0.0171\n",
      "Epoch 56/100\n",
      "394/394 [==============================] - 4s 9ms/step - loss: 0.0169\n",
      "Epoch 57/100\n",
      "394/394 [==============================] - 4s 9ms/step - loss: 0.0180\n",
      "Epoch 58/100\n",
      "394/394 [==============================] - 4s 9ms/step - loss: 0.0178\n",
      "Epoch 59/100\n",
      "394/394 [==============================] - 3s 9ms/step - loss: 0.0170\n",
      "Epoch 60/100\n",
      "394/394 [==============================] - 3s 8ms/step - loss: 0.0154\n",
      "Epoch 61/100\n",
      "394/394 [==============================] - 3s 8ms/step - loss: 0.0164\n",
      "Epoch 62/100\n",
      "394/394 [==============================] - 3s 8ms/step - loss: 0.0173\n",
      "Epoch 63/100\n",
      "394/394 [==============================] - 3s 8ms/step - loss: 0.0167\n",
      "Epoch 64/100\n",
      "394/394 [==============================] - 3s 8ms/step - loss: 0.0164\n",
      "Epoch 65/100\n",
      "394/394 [==============================] - 3s 8ms/step - loss: 0.0171\n",
      "Epoch 66/100\n",
      "394/394 [==============================] - 3s 8ms/step - loss: 0.0166\n",
      "Epoch 67/100\n",
      "394/394 [==============================] - 3s 8ms/step - loss: 0.0161\n",
      "Epoch 68/100\n",
      "394/394 [==============================] - 3s 8ms/step - loss: 0.0167\n",
      "Epoch 69/100\n",
      "394/394 [==============================] - 3s 8ms/step - loss: 0.0165\n",
      "Epoch 70/100\n",
      "394/394 [==============================] - 3s 8ms/step - loss: 0.0176\n",
      "Epoch 71/100\n",
      "394/394 [==============================] - 3s 8ms/step - loss: 0.0165\n",
      "Epoch 72/100\n",
      "394/394 [==============================] - 3s 9ms/step - loss: 0.0167\n",
      "Epoch 73/100\n",
      "394/394 [==============================] - 3s 9ms/step - loss: 0.0180\n",
      "Epoch 74/100\n",
      "394/394 [==============================] - 3s 8ms/step - loss: 0.0157\n",
      "Epoch 75/100\n",
      "394/394 [==============================] - 3s 9ms/step - loss: 0.0166\n",
      "Epoch 76/100\n",
      "394/394 [==============================] - 4s 9ms/step - loss: 0.0163\n",
      "Epoch 77/100\n",
      "394/394 [==============================] - 3s 8ms/step - loss: 0.0173\n",
      "Epoch 78/100\n",
      "394/394 [==============================] - 3s 8ms/step - loss: 0.0198\n",
      "Epoch 79/100\n",
      "394/394 [==============================] - 3s 7ms/step - loss: 0.0168\n",
      "Epoch 80/100\n",
      "394/394 [==============================] - 3s 8ms/step - loss: 0.0160\n",
      "Epoch 81/100\n",
      "394/394 [==============================] - 3s 7ms/step - loss: 0.0161\n",
      "Epoch 82/100\n",
      "394/394 [==============================] - 3s 7ms/step - loss: 0.0166\n",
      "Epoch 83/100\n",
      "394/394 [==============================] - 3s 8ms/step - loss: 0.0159\n",
      "Epoch 84/100\n",
      "394/394 [==============================] - 3s 8ms/step - loss: 0.0161\n",
      "Epoch 85/100\n",
      "394/394 [==============================] - 3s 8ms/step - loss: 0.0153\n",
      "Epoch 86/100\n",
      "394/394 [==============================] - 3s 8ms/step - loss: 0.0161\n",
      "Epoch 87/100\n",
      "394/394 [==============================] - 4s 9ms/step - loss: 0.0179\n",
      "Epoch 88/100\n",
      "394/394 [==============================] - 3s 8ms/step - loss: 0.0165\n",
      "Epoch 89/100\n",
      "394/394 [==============================] - 3s 8ms/step - loss: 0.0157\n",
      "Epoch 90/100\n",
      "394/394 [==============================] - 4s 9ms/step - loss: 0.0160\n",
      "Epoch 91/100\n",
      "394/394 [==============================] - 3s 8ms/step - loss: 0.0168\n",
      "Epoch 92/100\n",
      "394/394 [==============================] - 3s 9ms/step - loss: 0.0167\n",
      "Epoch 93/100\n",
      "394/394 [==============================] - 3s 9ms/step - loss: 0.0163\n",
      "Epoch 94/100\n",
      "394/394 [==============================] - 3s 9ms/step - loss: 0.0159\n",
      "Epoch 95/100\n",
      "394/394 [==============================] - 3s 8ms/step - loss: 0.0148\n",
      "Epoch 96/100\n",
      "394/394 [==============================] - 3s 8ms/step - loss: 0.0158\n",
      "Epoch 97/100\n",
      "394/394 [==============================] - 3s 8ms/step - loss: 0.0160\n",
      "Epoch 98/100\n",
      "394/394 [==============================] - 3s 8ms/step - loss: 0.0167\n",
      "Epoch 99/100\n",
      "394/394 [==============================] - 3s 9ms/step - loss: 0.0155\n",
      "Epoch 100/100\n",
      "394/394 [==============================] - 3s 9ms/step - loss: 0.0158\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<keras.callbacks.History at 0x7fef4a852580>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "optimizer = tf.keras.optimizers.Adam(learning_rate=1e-3)\n",
    "vae.compile(optimizer, loss=tf.keras.losses.MeanSquaredError())\n",
    "vae.fit(x_train, x_train, epochs=100, batch_size=2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Testing over the complete library"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "encoded = encoder(custom_set)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<tf.Tensor: shape=(2,), dtype=int32, numpy=array([985,  12], dtype=int32)>"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tf.shape(encoded)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "encoded_imgs=encoded.numpy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "decoded = vae(custom_set)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<tf.Tensor: shape=(2,), dtype=int32, numpy=array([ 985, 4367], dtype=int32)>"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tf.shape(decoded)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "decoded_imgs=decoded.numpy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 0, 'Decoded Spectra')"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "figure = 43\n",
    "fig, ax = plt.subplots(1, 2, figsize=(16, 6))\n",
    "ax[0].plot(wave2, custom_set[figure])\n",
    "ax[0].set_xlabel('Original Spectra')   \n",
    "ax[1].plot(wave2, decoded_imgs[figure])\n",
    "ax[1].set_xlabel('Decoded Spectra')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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xbfVuDOnYxPYXDDffZ+ZutNcyPPzBbzDztpMs96vLoPmwRESZqs4fwMx1ezGqe5nh6CQpg9nOf1y7B/93Ss+Y1yuq6jB7fWQJlML8BPRHxTG45WAoW+zMdXsT2hC9xkZP71tztqAkFOx9ML8cH8wPDqM97+gO4X1WbD+EGWsi02CUKUvVdX4Mf/Bb9G7dCK9ePhytQ0EtAPy0PnaJGbdKbAajtb4Avl2xE6//tDFh1+acUSLKKNplSuzWPUpvXfn+Klz8nzk4JTRs9YEvrFst1fQm+cdD6aldsf0gflq/F9f+d75pSnxleZmvNOnm7eQo0n5p+Pe0YBZZJXX9pr2VMUmBnv1+HXwmXbXl+6t0t1/68hxc9z/7rdRLtlbg3OdmGi4qrvXVMvvziXYdqkHPO7603I/DdImIzB2p8aHH7V/i0pfn4Kf1ew3rKwmJ8/79E578do3u67//389RGWbVA1NemO4+edGWfZW4+D+zsXRrha1GWoWyb7pyB+hlqlfT1vGtS4sBRILolTsO4ZdP/4ANe45gwN1T8PCXzr7bWDH7ilHnD+DvU1ah712TcfO7C/G7/823fD9mivOjA1/OGSWijKJNKmuVJOFwjQ8z1+3Bgs0HAESSEgDAOc/NTHTxHHM6r0IZhuRmORJfQOLD+eXofNsXGPbA1+Ht6iGyevMwv3O5mLgyvEfxw5o9hskZanwBzNu0H3+bbC/Y/2q5/blBgHGSDTUnWROJiOqLjXuO4N7PliEQkPhSlfxty75KTHgqdhgoED3aZf7m2FEsq3ZEJ9VTD/d9aJK7Rt+AlHh77mbMWLMHv/jXD+h95+RwRlYtbXC3Zqf7uarJsu9ILWp8ftT5A6ipi66f8kJfhm54M5Kpd/ehGnw0vxyHanzhxuZE6deu1PC1F2esx9NT16Ky1o/PF2833M+uBoXRA2XNEicmA4NRItLl8wfQ844vw/NL7Lrl3UW48MXZ4efq+ufnTfaGeSZTvsOkAACwdpe9zLhavoAMJ4vYcziSdn3p1kjQqNcqPHeju3Xd6vwSlbU+LNpyAHM37sNv/jMbj3+9Gou2HLA1j0ZPZSihUjzzlIykusIjIsoG1781H6/8uBFfLt2BW95bFN5uds9U36Ef0hmBpF1yTO+eXtawANc6mBbjC8iYqSFHP/iNrWPfmLXJ9nVS5YRHp6LXHZNxyj+nxfTy7jlcg+P/9l3MuquF+c7mdtpl1mxuFPCbGd6lmeFrDQo1PaN1DEaJKAPU+AKo9QWwMbSGmV2rNYGbdphvsi3dWoHOt32BBZqW4RqfH58u2hZu3XRCuzC1XWc+86Pl+9f7QvDijA2urucRwC3vLcLEZ34Mtzqv3XUY5/37J7zgomd3xprd6HvXlOA8oySMpGLPKBFRrDpf8IarNGYqzObyva9aPkQ7zNIfkDGjmlbr9Ewe07U5zhrSzlFZ3TTwZqpDoQzDSh4GtRlr9uhOkzlcYz8DvhOJbgBu16QYbVXzW9UaFET3jKa6bmYCIyLS5SZ9/E/r9mL97ug1slzEfqaqav3I9wrkGVSASgXyztwtOFBVhxN7tcSkJdsxY82eqAWonbjopdkx26pszM+wkzL/vXmx64+55REinKY+0qPpfv7HrFAyhjkb9iWlZ1T5wkVERBHKVA6vpjHT7r1cHbT6AxLd/jrJ1nEdmpaEE/XYZZQhP9vZHcllN++CU4meSusPSLx77Qgc/7epMa9pe0ZTPY03d5oziCih3NyLLnhxVsy2RPSMLt8WGdba567JuO5N40Q9yvXenrsFl78yFz+t24vf/2++60DUiLJQeLw27nW3wLUeISLzWpZsVdZOc1+rKF+EPlq4NRkdoxymS0RkQrsEl90sp+p768s/2B9p07pxoeMsu+r1uBVSSny3cqdljolMpm1IX7jlQEqvb5TYafPeSqzb7fx7gwSQ59H/2ZYUpLdvksEoEUX5buVO1PoCmLl2j+7r+47U6m43kohRumc+82PU8ynLjJPpaDtMy/c7G2acaomsqoUQ4Qy1nyzcBiC+Fk5PqDZev/tIUlpKOUyXiCiWEsNp1/W224CnBK1fLN6Of32nn11XT2G+F944hzP1bdMY7/9cjitenYe35kTW7kzxjJ24pXv4sdFopNGPTcV0zRBiu+cz+tk21CQwcrMOeTwYjBJR2LTVu3HFq/Pw9NS1hotZL99+0NEaVNqkCW7U+gPYtPdI1FpkS7dWoNYXwD+/Xh01ZFbbE/ucyRqiuUYgsh6sQjvvxQl1Xbh+d+IzHzIYJSIK8vkD+GhBOQIBGQ5EtNNB7CaWUarB696cj4PV9uc0FuZ50LSkwPb+egJSYkdFNQBg64HMbgw240n0HCOH9ILReOpMaRKMxqxpymG6RJQqOyqq8c+vV0NKiVpfAJe+PAeAdeBR7fPjq2U7wvMS3bh/Yj9H+2vT0n+7YhfenrsZT327Bs9+vza8XXv/1s5hzTSJXGNNL+6P5/zqIVbLth002dMdBqNEVJ+8NWczJi2JXYpj094juPOTpfi/dxbhg/nl4Vhgpabe23PYXjK90/u3dlW+wjwv8r0ejOtn//gOzYqjnvsCMlwXRdfH2dU1WuNyLmyfNo0Tcn1/QKLOH4jK6vujwYg1OwIBRAWjfxjbI/xYu7RLqjEYJarHbnpnAZ76dg2WbK3Aj+siN7luLRqaHvfdil245o2fcdsHSwAEgwqj3lK9BbrH9GqB47qXOSprviapQo3PH75mPIs9p1siU6i7zfprxCyOjXcoFwDUMoEREdUjf/lwCX7/v9hRRyc89n14SOvWA1Xw+fXvjZ8u2mbrOm6nairJi5wMaNqyL3o0TiAgwyOiUnmH/+j3IxN6vkXlFdY76Xjh4qMScv0jNX70uP1L9L5zcjhvhlUiwd+NMV6Wxy9l1GoCwzo3DT/WJjBKdc3MYJSonjlS48Mf3l6AHRXVOFITDOK27q/C5a/MDe9jdSO66Z2FAID1e4I9qCMf+Q497/jSdhnyPMLxfIxtmuGnM9bsiVR4WRzTlBQmZ40yu47tarz2mNm8kUS0ca/Z6W79ViKibGM0EuRgdXSDbSAg4XMwakSvF1M719QuJXlRPIkH1ddW183JnjOaiAbSRMjzJqYckSSEwPinZkBKiYDFr0W/tsa9slJGf0bqn3FRniYYTfGXKgajRPXIqz9uwKhHp+KThdvw3Pdrw8HGaz9tjNrP7vBJZWkOpwswe4RwfMO+/aOlUc+XbK0IB0Tq1sJUT7x3q29oKE+6hxEXmSzYbfR9ZsLANgm59j++Xp2Q8xARZbpnpq7V3a4dVSThLJh8Xqcnzu30jMJQUBJP4OhXDdPdvO8I/vjuIpz2+HS8OTuxGe0Vl4zohGcuHJryNc2N2AmK75jQB8d0MW4I1lPjC1h+u9H7sb90yTAAwQAzzyAY1c6PTXUDP4NRohw06tHvcMbTP8Rsv+ez5VHZcJUbjjatt90ERW7n/OXneRKSqc4Tnpei3xKbyYq1CQPSxOw7i9H6aWcPaZclIT8RUWYwarTVBlEBKR33bD51wZCo5657RsPDdN0Hdv6AhAg1FU9asgMfzC/HKpujYNo1KbbeSWNsn1YJayAFgO4tzacpWcn3ePDW1cfGbJ9806jw4+N7lOGfvx7s6Lx6U5609Ho0ldVc/KoERqf3bx21dM0hB0mukoHBKFEO2rKvCost5jsEZCQQ0VaGtoNRqzEjBhoX5SPfYL0ru5qU5Idb81K9QHMiOBmGlUxuhuNImfphPERE2WLz3kqs3RWdCLAgT7/O0/ZiSgnUOchYD0SCSEUglPzGqcgwXceHhqkTGDl1/tEdUNaw0NExeS4K6zbJ0PvXjgg/PqpTU919vF6BEd2ax2zv3TpyzTyPcPwZf7ZoG65+fZ7pPnkeD36hCcyVhoWADD6ec/tYPHn+kHBgOrRjE1wwvEPUMZwzSkQpEZAyHFBoKy27wahRkgUrjYvz4p5XoU6SED1MNztUJzBxUTz0EiJIKTHuiemmxxl9zkM6NjE8pkUjZ18yiIhSaUdFNVZsjz9z+OjHpuLkf06L2mYUjGob9gLSeUOvVxP9+QISVS6ywYaH6drYVxvAKPyBgOucAm6WU3EzV/Sxcwc6PgYAhnVuhn5tG+OPp/Q0fI92gmOPEFGdANeM7mp5zANfrLDcp2lJPp749WDMuX1s1LWAyO9Zy0ZFKMjzRDUYKL+b+V6BhoV5HKZLRMmh7YmTiAxpjQlG7c4Zddm717goP+5gVCJSYf5v9mZ8t3JnXOdLtfy8zJjfoved5+dN+2OWFFBT/+5oNTNZo87sNSKidDvub9/h9CdnGL6+ZV8ljtS4G9JYqJqa8qvnZ2Lqyl14dPJKLNxyIGo/Cem6oVfhDwRQ7SLLvHaY7u3j+xjua5RvIJ6eUTe9nG6OMSuf1aifL24chRtUy6Jo2QmOvR4RVYa/ju+DBgmYujOiW3PkeT0oLc4Pb1OKY5SJVwIoCP1uShn8XpXq3BsMRonqiSOaiknKyMLa2orPfjDqtmc0/mG6UkYPL771vcVxnS/V4k22MO+OkxNSjoCUWLB5P2p8kd8Puz9/PRLAmYPb6r6mzRysHU5ERJROVol/Rj06FWc+86PpPkbBTKEqeJu7cT9+97+f8ez363DNGz9rjnc+51O798cLt7la8ky7tEvTBgV4/NeDdPc1qsN8fokf1u51fG1ACeScvXcl+HNSpWp/RA+e1R93/aJv6Dzx1c3Kd5vrT+wOAGipMyJI2zMKJGZUl1L2qOREygiymGo9shqB0jMqI5tTisEoUY4xqgi1jXWBQOTmpw0+9IbpfnHj8THb3M57bFyU52o4jlpARre++gISNT5/1iQwsnr3c28/OdxaqSdRmQM37DmCs56diRvfWhDetmyr+TA1KSV6t26k+1pAStwZqtS1SjQtv41VrbdERNlgjWYuqNbDX64MP1bXx9oeM6Pez0CCkiDM3uA8IFSSGXpUU2DOGtJed1+jKryqzo/pq3c7vjbgbshtXij4a2ox8mZg+1Jce0I3zPjTiTG9hBcd0yk8j9QrBC4b2dnyukZVsPLd5pbTemHjIxMw9ZYxWHDnKTHHxgSjCfzuoh62rawbf9aQdjFlAEI9o6FgVPlcOEyXiOLy7rwtutu195aAqmdUO0xIb/ht3zaN8doVwzX7ubtjNdBk73UjIGVUZVhRVYded0zOmqVdzHx+w/Fo0agQU28dE5OYQpGoJdUOVAYz9E1ZFhzmPHXlLjw4yXxuSn6eB29efSz+c+mwmNcC0vgLhTZrM5MgEVGueeOnTeHH6riyiabxzaj3081dUe9e+ucPlhjur3fvBiJZ3pU7uNk9OhlLqbgZcqvUN22bFOOUvq0M9xvVowy3nd4bHZqV6CY9zA9NHfJLiXvO6Oe4HEYaFOahaYPoQDnYMxq9XyK/uyg/mjG9WqB1aRHWPzQe5x2tP8cXUoYbvq84rks6OkYZjBLlmjU79VttpSa+/HHtHsNaT69nVAgRc5Nym01X6SEb2L7U1fFAaG6DTmX46ORVrs+ZSmbVTv92wc+lXZNinNirpe4+8Q4lipQjuiSXvzrX8piuZQ3QrEEBjuteFns+KaN6vV9XNWBo58S4/PUhIspY6luzumHXb7Px7VC19RIeAHDRMR1xxwTjOZ2tGhsnjOvRMnZkS6fmJeHH4V4zkyLHO7opnnOO7tki/Fidf8IsS676vXRp3iDmdWW5OaO5lXa8+9sR1jshFIxq3qu2sTYeQgjM+NOJeP43wTVo9T5XpaHB4xEQQmD9Q+Nxx4Q+Cftu4QSDUaIs9sasTXj869VR24wy9mlvsNsqqg1vujPX2Rve4/aeXRQKSoZ21E+NbuvaSE7LbKrYXZTcqLXUzXAm3fO7+Bl2ClXkeh+/lNFDhNTlLCmMrmzjqfSJiFJl7a7D6HzbF6b73P7REnS+7YuoRlul9zMQkFhisdyaYntFta39zjmqPa4aFczCqncnNQvM9O7d0249Mfw4nIHV5PpJiEVt94zePzHSc6muY8yOVp+7tCQfGx+ZEPV6OBjV1M3rHhqvez5t8/yUm0ZjeJdmpuVWeHSG6b519bE41aRn16kOzUoMk0wBkV57pb5WglIg9aOWGIwSpcHrP23Eze8uNHx958FqVFRat47e+fFSPPntmqhtSmp2Le0X/6M7N3W8Pqe2Aps4uK2rm1Zx6AYZTyyZjiGeI7rGrh3mlj8gbS3wbfQ2E/VFQP0zWGWSQVehrtD1GgMkZPSXA9Uu+4/URu2bjevDElHuUwckR2p8Mcu06Pnf7M0x2/yhqSwv/bAeb8/Vn0KjVZOgZb8qa4wTGFnVvcp8fqNpIkByGoM9QthqIFVfW10nKaOK9OSZ5GAAgIK8yDBdADipd0sc17257Ybfri1ie1uNCJ1hur1aN8IVx3exfY54KQ3i2p+jEFxnlKheuOuTZfhw/lbD14956FuMeORbV+cuyjfqGY1+7hHCdu+cQltJlBR4UeNwcW4gkhI+nsrMF5D464fGc2KSoUFh/KnXFVICX9882no/g+2J+iKgbt09zWJtUTtlCAT0M/kBwWRJapwzSkSZSD2kdsHmA46OVVerylSWFdutG/oUPhfzF/RupRv3HondCOC8Ye3RttS8IfT/Tu6Jv5zeGxMHtzPcJxnDObVLvr159TGWx6iDRaM5oz1aNsR5wwzmTCrX9ig9o8HnL192NP531bGG+2tHoWnXejWj1zMKBIPp43WmvySDkoTwdyd2i9ouwARGRBTiJi07YNz6F7uwtnS9TqjCH5CuyqkkCoind0/K+JYgccdZgY0WBQeCPYh25ogYVQqJGqbrlLo4ekUIyOieUfXjU/u1TmLJiIgSY9uBqnDvqNM1sdX1kj8gMXPtHlujTtTH2KEuVS+d7Oa7DtXEbLvy+C549NxBlnMziwu8+O0J3UzrmWRUQdoAbWQ3/cBMvVuejWXivr75BLQuLTLdR/k5600fKcjzxCzR8tivBuIqVU+mkzm0HiF0e6cbFubhv1dZB+CJ0KSkABsfmRCTl4JzRokobkZzLvSqt3jXMvMHgmncndIuWdK+qfVw1Uzg9B79uxO6G75mv+VRf8c8j8BJvfWTGyWT+iPQq7SCc3kjz9WPh3VyP0eYYgkhxgkhVgkh1gohbtN5vVQI8ZkQYpEQYpkQ4vJ0lJMoG6iH5p7w2Pfo+tdJAPTr1Ecnr0S1Qd2nDiZrfQFc+NJsLN9uvlyWmpss9V3KzIeI3nZ6b3xy3XGGy265kZxsurFhyT/PG4R//Cp6rVP1tRPVMKtcW68xYOk9p+GHP58Uta1NaTHu+EVf9GjZ0PG19JZ20fPp9cc5PncipHpVAgajRDkmX6dntPNtX+AhzXIdAsL1OqGKgJSoqvU5Pk4poxKQXTqic1zlcMosy6CZsobOjjNrsNXe6h84s7/+fgZ1ghACL14yDE1K4lur026Gx8h1zV+XUoaD1PZNi6MqXPX8ow7NsqMBIlMJIbwAngFwOoC+AC4QQmi/aV4HYLmUchCAMQD+IYQwX4yPqJ5yci989vt1+M8PGwAAew7X4O9T9LO4/7xpv+Ny2B3x46QHq3mDAgzq0ET3tbOHtkPjIueZXJMxOkfvnGcPbY8OzSKZfjs3L9H0jCamHEp9bdQzapQc8p3fjsD719rLoqsIzhm1LneDwsRl2LWLw3SJyBVluK2UEjsORmfiU4bnfrJwW/RBAjhY7TyQVPMHJLbsrzJ8fcKANrrblZu6cr9L9aiQ0/u3Mc00qOev43vjzl/0we/GdLPeOcTshq4dNv2bYzvZPu/4AcHhrl6P0G1JdvJ5xjtvuG+bxnjs3IExr7919bH4+LrjoipcbWXOGaNxGQ5grZRyvZSyFsDbACZq9pEAGongt9aGAPYBiO+PnihHbN5bic63fYFZ64PZ453eCytDDbG3fbAYT09dq7vPTe8sdFyuGp+7KTpmzAKff543GIvvOc3xOZNRb1sFuA0KvPjo99H1itfhMGojkbrU2fmaNSjAsM72sugqgnNG7eyX+iGz6VikgMEoURppU4i7pQwXenfeFjwVyq6r3NSNhvxUuujR1PJLie9X7jJ8/dKRnXW3a3tGAWDGn07U3XdUj8RP5vd6hOPkOUd1aoqSgjxcbvCetO49o59pxWr36nr7PXvRUS7OlByT/jAKvxrWAY+GAlKlVXlEt+Yoa1hoGIzGrlpLDrUDoE7PWR7apvY0gD4AtgFYAuAPUmpXHCaqn0Y/NhUA8N68cgAwzKFgdIf1+SUufHEWvllhXAe6YTebrpM7aDICjOQM0xW6n7dSX/dt2xhNGxREvfdE9Yw2LcnHtSd0w3+vGm69c5yCc0aty+03SGb1x1N64uQ+iVsGRovZdInqEfWwoD2Ha9D5ti/w2aJtJkcYnCcU1C5WrWOm3J+NKtj9R+wtrK3WSTVUBgC2H6hCT53ECVbyNYkChBBRw3DUers4vxU3w4uUVtOWjYswzkYinktHdkZbs6VbbN7ttUOGtPWXXkyt7PLgWf1x08k97F0oTt1aBOfNaIuj7ri1k2iCbNP7JdZ+/KcBWAigLYDBAJ4WQsQMCRBCXCOEmCeEmLd79+5El5Mooylf+J32jNb5ZdSa3A0KEpNtXS/xkJ5mDeyPuE/OMiyJP5dVEiClEVPYmDP60e9HOiqDEAK3nd4bvVs7GzXlhvrn0Vzn5/hxaH5vh2YlGNqxSczrN4ztgZcuHZak0tlbXieR+M2AKI3Uld/qncFsey/NWO/4PEoiIu180ds/WoI5G/fpHmM3k26zBgV48vzBAIDOmiQJ8zcfwFbVMN2LNUNNjZIqKBXJlcd3QY+WDXHGoLaG10/XWmbail5d4R3X3f56o5dpelKV4Frv8m9cORxvajLpKeU8e2iw0+tHTRKFYZ2jkwKVNYyUu2tZQ1x+XGrWLVM+Hr0lhBReT/Dz0L5HcqUcgDpdc3sEe0DVLgfwoQxaC2ADgN7aE0kpX5BSDpNSDmvRokXSCkyUCb5ZvhOdb/si/FypP40S+hmNYNI2FCpLlqVCr1aNDBtw9bTUyZPw7EVDMfmmUa7LkMi6Wfkk8zzCdG1ThZ1suunICmuXUrTnLhqKT3SSFA3u0ARXHt8FhXlefPj742x9Jm5zYeiXjQmMiOqNqMos9HCRqnfTzNKtkf384WA0cvOt80v8b/Zm3P/ZcoNr2yvjw2cPMF1rbPO+yvDjvm0jLYrrHxqPFo3Mb44dmpXg65tPMN0vGRWKxdrXaFDgxfQ/nYhnLxoa3qYO9K0+u7OGRD6ve87oF3686oFxePL8IQD019gc1aMFRmrWGFPO9cdTe2HjIxNielsfPnsg3rkmshbaD38+KfyZeYT+8KzbTo+JR2wz+nEoX0y0X9y0a47ec0a/8HvkOqNxmQughxCiSygp0fkAPtXssxnAWAAQQrQC0AuA89YuohzyzPfR8zuVu5BRz6jRdu39K5V3s+d+M9TwtbeujtQHHZuV4M2rjtFdImX8gDZx9QI6DUbfvsZ4zU7lo/QIobu0ScyIm6h6Rf+cmRuKRsp/+oA2aN/UulHh+hONM/MDwIuXDMNHv09M5t10fG6pT9NEVM+pKzb1Y7vB4Y9r9+D1nzZGDQ9SWnT1Arf1e/QXvrZbdVrdmPZX1oYfewRw+/g+6Ni8xNGaW2aStZaZWery9k1L0LAwD0epliJRrzVnNpzrjEFt8fivB+u+VpjnDZ9HOcPTFw7B2l2HDc935pB2OHOIcWNAswYFOKZrpKdW3Trv8ejPzBzfvw0e+XKl4TnNOI0f1T+/NqqF1jO40TorSCl9QojrAUwB4AXwspRymRDi2tDrzwO4H8CrQoglCP4p/1lKuSdthSbKAF7NzUcJKo16Ro2y7Gp333ekVne/ZDCb8jBYlTU3zytiGjgTRa9uPnNwW3ysTZYY0qtVIwgRrEOeuXAoZq7bg//N3hy1T55XoFuLhrj7l31jRmIBCH8hsVpiLLjdzrtID6dls6p2T+mb2PmjqW4nZjBKlGRSSrw7bwsmDm6HonwvfKoJ6eq56XbXdbr81bmo9UUPsd1RUY3jHvnOUbkSlDsJlbWRzH9CCFw9uqvp/tphq1aSNUxX7YPfjcA5z/0Us59RkgSzj85qeQDli5Cy2y8GGg9RdkspqcdgLbNkVNJGmZGVLwpdyxqgOEFzqihISjkJwCTNtudVj7cBODXV5SLKZNqGUuVe7DdI9mcUpKZiLcabT+mJf369Oma72fR79T04mfGYXoOzUWDYoMCLpqqpLyf2boEJA9tgcIcm6NCsBOe/MAtAZDqMdnqJtlq1873ATpK8W0/rZblPMjj9XqO8/xtO6o4/nhop86+Oao/uLtY5NaM0GKQSg1GiJDv18elYs+swVu04jLt+2Rc+VYW3ce8R5B0Q6Ne21DI43Ly3Eg98sVy3V+6VHzc4LleiWnHV5bFze1UPW7UjGT2jwWy6kedHdYpOyx6uJ9TzUlTDdC8c3hH3f64//Nlq6Kly7lR8kQlm7Ivdnoz14ZT3rT1z5P0SEaVfbM8o8N9Zm7BTsyxa8DWJTQaji5bYnFLj1qQbR6Fv28b6wahJMKN+KZlLgziZQjOuf/Qyb0q5fjWsQ9R27c8m5poxD0z2tbHPdRbDX5PFaRWsfF/QHvbYrwYlpkAqAuYjx5KBwShRkq0JDcHcfTiYIU8djE585kcAwMZHJlgGMfd9vhzfrNip+9rni7cnoqi6rCoc9ftJRsWXnDmj9s6pfj/qntHiAq9h66FVRkaltdYgY3tCKMX2aBbWvvmUnuhc1iCunlFtkixFu6bBIbi/NElGpcUAlYhSTXv/l5C44+Oluvv6AxL3GORdsJvfwS2zespuXZvMoap6xTPOKRD93Oi9GW3XBkd23pcQwOc3HB81eitTOP1ek8qeynQMb2YwSpQikXkpBmuZ6dxshj3wNd757QgcqKzF9DWZueRCVM+oyU1sdM8WmL7a+XtIWjZdG/sZDdM14vUIXDXKfJhys1C220QvufKfS4dhg6YFX/vZ3Tg2eM3tFVVw47xh7XH+8I66r7VsVISV94+Lyfpn9Kll8HQeIsph2uGlZu2HqZwHqmWWaE9vmO6lIzqh1h+IGp6azPWcdaeAGFxP2XVQ+yZYuOWAZQ+oEXVDq+W+EOjXLvnLtFD8bAWjQohxAJ5EMEnCS1LKRzSvlwL4L4COoXP+XUr5SoLLSpTVlPrOyfyTPYdr8frMjXjtp01JLFl86lTBtVlL7quXHW05n1JPcobp2svkKqJ6Rq2Tj697aLzlPg0L87DxkQmW+zk1VrUAdvALgYQwmDPqtpX10XPNhwTpLW2g/Loz+CSiTGR2P7z81bm44rgueNnFVBi3xym8JnWO3n393on9AUQv25aottw5fx0LABj+0LeR8jk4udI7+doVw7F+92HnCQ41PyM7R2dyAiPXcvJN2VjaRQjhBfAMgNMB9AVwgRCir2a36wAsl1IOAjAGwD9CqeaJSBG6mRqvZaZ/WLqHmFjd+tQVn1nA5vEIwyGeZhKVlTfqnDbWGQ3uF3mszqYLRL7AOF1YO5WM5oxq18czY2d9MzPVdcHfXyYvIqJ0O1hdpzNCx/h+uGbXYTQqcjeIMN4Mp2ajcewP001M/dmycRFaNi7SnFvvevrHK++ltDgfQzo21d8J1vWN0vNqq2c0h+I2paG3KD81K3KmOoGRnXc1HMBaKeV6KWUtgLcBTNTsIwE0EsHf+oYA9gHwJbSkRFlO6fk0WkDb6G8/UVlvk6XOFylgQZyBi55kVCgeIcIB2d2/1Latqa6tCsWNen3dBNhJpwxl8rjrkTy+exluH98HANC/XWlcRenduhHOPao9nrpgSMxrXGaUiFJplmpJNIXZPP9aX8D1esj53vgqL20DqJpZr6T6lUS35Y5QLSOmDgiVh24vN/uvY/GX03vbzgxra85oBo7HObmPuwaKy4/rjBtP6o4rNFmGkyEdn5qdb1HtAGxRPS8PbVN7GkAfANsALAHwByllTD+PEOIaIcQ8IcS83bszc/4bUaLsOlSNv09ZFX6u1GdG9ZrdhbXLGhYmpHx2Wd30a/0BFOZ5MK5fa4zs1tx8ZzfXT8Kt0euJzBk9sVfL2Gvq1KwZGXRa0CYwUrRrUozrTuxmeFzfto1x9eiuePe3I/DypUfHVYY8rwd//9UgdGsR/SUjGYmpiIjM6N13pq4y/z7qpkG4W4sGcWctV46/6xd9UVLgxc93nBx+TdisjhJ9m33rmmPDj9UDoZTLuM3x0KpxEX57QjfDekH7I7CbwCjTPHvRUCy86xTHxxXle3Hzqb10p8LkAju/zno/Tu3vxWkAFgJoC2AwgKeFEDGzhqWUL0gph0kph7Vo0cJhUYmyy20fLMHTU9eGnysxpdEQSaPt2nmWmRYT1fkC6NCsBM9ffBQaFOoPZ3I7zAlw3rL7zc0noFhzw25bGj28yOOJ9IyqK6z2oYywiugU+c7KkU6RLwZGQ6kEbj2td9S2+yb2w82n9IzaNrxLM5SW5CeplEREmc/JtAbFvy8+yrIB86Te0Q2hH193XNRzZdrLFcd3wfL7xqFpSWT2m/nSLsLWfvHy6FwnWZdTfgSRdmI7CYwyT0GeB01KOItRy87X2nIA6oWA2iPYA6p2OYAPZdBaABsA9AZRPVbrix4coAzTNUrio557qaZtlU300MZ2TYpxbNdmhq9bzdms8QdMA7Xv/ngCvr9ljMvSOa9M9Vqj/65Zi8urmjOqnH/jIxPwzIVDAei38hq12GZi66tCCGG7B3Jox6bhYdbaI8oaFkQNz0oUjtIlolSQUuK0x6fji8Xar682jnVxve4tG1n2jD527sCo54M7NIlqENUer76V200elMzqSS8YNZKoe30km679fcm5VNfNdror5gLoIYToAmArgPMBXKjZZzOAsQBmCCFaAegFYH0iC0qUbbRBnD8gMerR71BVGxt0+gPScJiudo7prkM1iSskgH9dOAR92zRG7zsn675uVcnU+gKm+3RtYW8OiBG9YPisIe3w0YKtuvur9/Z6hO7n6vUA3Vs2RPn+KhSqEgKEW10dzH8RELj8uM7YtLfSxt6p5SSQN9t13h3OhxVZXi/hZyQi0lfnl1i18xBW7Tzk+Fg3PaOA9ZrTevdndQCqTWAkohpHjc8b9VKKekYjdWdq7uz2rsNaxo10TKGxDEallD4hxPUApiC4tMvLUsplQohrQ68/D+B+AK8KIZYg+NP/s5RyTxLLTZTxtLkH/AGJLfv013es8wcMs+xaVWjx8gphOg/BTgtkMocC6Z3Z7GrBNUSDn5lXCPgh0bZJccw+T10wBAs3H0DLRpEhvNqhP3bnpdz9y36m+5zQswUqa1Of083J0GK7GYaJiLJJnT+AeRv3Gb5eWpyPiqo6w9fd3hctg1GdG7S6x9OsZ9V8mK56P9MixEV97gKvBzW+QPKG6Wr66myFooxFs4atiVxSykkAJmm2Pa96vA3AqYktGlF201YkRsEmEKwsjTL2TV62I6Hl0lIqNaNeRDuBZryJGszontqsVVhdEXsA+IGSQi82PjIBIx/+FtsqquH1CDQuysfonvpz153MS7HjtSuGJ+Q8djlZGFyRzAYFIqJ0eXTySrw4w3i9zyqL5dOMMuBbKbFYzkqv3lTfhs2WdrFb5ybzrh61DnecmYOtdGhaAgAY07Nl6NrWx7BGyx7us4oQkYXoW6FZ6+rcjfvStoSLydKgwddt3PWTsRao2bnNgsToVuHQk3DyAxG93UK2ZuxTOClbOhI0uV0ygYjIrpU7zIfm1hrkawCAk/u0dD1/rkerRnjxkmFYsf0g/vn16pjX1ffcdqHRO+og07xn1Pi6qUtgFHmcF0rWlKxbeueyBph3x8lo3iCY/MfOUFJmbHcvE9cZJaIEMKtYbn53ket5KfEyq6yO7doMw7tEJzeaMLBNzBIuiQpk5t5+Mub8dWzUNqcVSrsmxeEb6XHdywAARaEW6nCPoUGBY4YC2Wp9zbwKT29hcKtW+qjPORVvKfM+NiKiKAV5nrjq5lP6tjLMJu8RAi0aBZdqe/L8weFtCrO6z269mMx4TO+7g9F3gUR8vSlrWOjo+wCrmOzBnlGiFGnduMjwtQOVda6HAv15XG/8bfJKt8UKDwXSu3Hfe0b/mCBayTh73CPfYeuB4BxYu5n9rCgV88r7x4UTKulVbkaXO7pz06jK6u/nDsLuw9VoXJQfdZxVeZVgzlb6+Ayu8ZQvC89eNBT925Za7AsMah/c56iOTZNeNiKiVIinh2zSkvinyRgNt/V6IvP0G4XrqMRWKMnsHVSfWlkNwGxocaplct1M0dgzSpQk2huh1ZwKt8N0j+se35IbSi+h3uXNbuYf/G5kzDkSRZ1QSa/11epqY3oF54IWF3jRvWWjmHMZLf+mbb3NoHrVkUgPcPD/8QPaoGPzEtNjPEJgZPcyzLvjZJzar3WSS0hElBrpvo17DebCBOujULK90C7Hx1mfa6XivY/u2QJP/HowhnVqiptP7YVLRnRKwVWtZeKopWyhHSWWbAxGiVLEKrOe26FA8c4JUVoy9ZMXGR9XpFoSJZlBm27+IovrPXn+EEy7dUx43Uztuaw+Mydp6jO5unPyu6EscVPWsDBZxYnBGaNElOuMGj89ItIAqtQ1fxrXOyHXdJPEzu01BIAxvVri/d+NRGlxPu6b2D9p13SCPaPupONzYzBKlCQVldGp4uv8VsGo82vc/cu+jjPZnjm4bdRz8xTx9l5LZjZd3WtbhIBF+V50at4g9jhV5mB717GxTwZWeHaDbrUCo29MSZKBHxsR5ZhaXwDTVu82fH1ge/PpC4lg1DMqhAg3yCn36vwE3YeV+2sq6ieza1xxXBcA6Wl4zMS6mfQxGCVKsFd+3IBvV+zEHM26Zut2HzY9zs2c0ctGdnYcCD5x/pDwMFbAfPiw/bXMUjMvReG2F9k6gZH1tbOB8j6cFL+hQZINIqJsVeMzX7bFbiNcPHWB2TxKJaN4stpzUxKMmrw2qEPyg30jzKabPRiMEiWQlBL3frYcV742L+a1hVsOmB7rJsASQrgKBNVHKMl8/vGrQTH7mVWQ6usmNRhVlVa5jNv5teE5o5YJjJTr2eobdVeYJLpweEcAQOPifFv7P/+bo1CYZ55tl4go19hdHzOeu7ydBuNE16FOlzFzI9NX5sq8mjmLcGkXouzlNkgqa1gYR4Dl5pjYIbbnHNXedD+z66ZqmK5yFaP1Ka0qRzfDVy3LlIE13u0T+mDVA+Msfy5jewcXEB/XP00JizL8ywwRZTerW4zdYbHx1BmmPaOh/zOxHrGine+aaTK0WBkvHZ8bx2URJZDb4aMn9mrh+lgnR3VtEZxHaTTf89FzBgIC+NP7iy3Ppe6xTGosqhkOHJAy7mRPBlN4DINcM5lY3wkhbPV0Pvebo1BVaz6MLVky9QsMEeUOGTB/3SxQ9IhIA7M6861TZo2CMur8iZOMhlctO9NBlPu8m7o1Xsymmz3YM0qUIIGAxOqdh1wd6w9I1+uMOjnub+cMBBDd8qWuKM87ugPOG9Yh/NxsyZZUzRlVU65jkQvKkN11RutLk2pBngelJfaG8hIRZRurhss8k57RqNfiqBLMglGlfIkeXRTJCJ/Q00ZRAkyza4RHMyWvGMbXrh/VeE5gzyhRgjw/fR0enbzK1bF+KV0P0/U5OLAwtNSJ3SG2ZvVjyhIYqR4PaF+Knzftj7tnNJEVP3v4iIgyk1VdkW8yZzTfI1Abemze+2c+RcROfWO3FnnjyuHo1Cw2U7yR1DQU27hGGqJR1szupfrHxZ5RogT5eeN+18f6A+6HnrZtUgwgMv/PjFIxqYevmAej9l4zGvaaCEqwN6ZXi3BZ3Q75UcppN5uuHazw3Ev1wtpElFpSStz32XKs3eVu1FDc17d43ayOO6KawmAW02nP8Z9Lh0U9zzOrIJVhujYbSEf1aIGOzUss91Pq+GTWT3bu3uF90lFRsnJ2JR3DmxmMEiWIP445EZ8v3o73fy53dWxpcT42PjIBv1INr1U7vntZ+LFSZw5UpVs3G7JqZ/hNqgjVNQMW84CMeIW9CtrJe2PHqDv82Ihy3/aKarz84wZc8p85Udv/9P4ifDjfXZ3nhFUjr92eQ9NlzlSP25YWYWyfVtHHhr5ptyktwomqZdXU5bOcOuJScofpGl9j6i1jMPWWMcm7uA2cM5o9GIwSJYjbYbaKrQeq4jreqIfz+YuPQudQS6pyc752dDfL4wCrdUZVS66k6KYfmTMa/WE3KrQ340BpfTb6WWV6qnoiomxSEJoaUlUXnSjt3XnluPndRUm/vtU93e6MDbtrbutRN4L+68KhUa8FHPaM2haeM5r8vlG9K3Qpa4AuZfaHEycDG4qzB4NRogQxGzras1XDpF/fKA+DR0SGyugNUzWrrEznydjdMU7qUxuNdnrmoqH6LxiwGubrpBJj6ysRkT7l7lhd53I4SxymrtqFuz9ZZrqP3WDNTsZYo/OpG3wbahpOk5XAKFyepJw1yKxnNFXl6N26UcqvWR+kOvsxExgRJYjZcKCOzRpg095K1PiSVyEbtdx6hHCdPj5VWXLtuvGkHli4+QDuOaMfyhoW4K05WwDYDx4D4cozkQmMEnaqeoc90US5TfkTr/EFe0bnb96PpiUFKbn25a/MtdzH7v07nikr2l7PabeOwa5DNQAin0+ih+kmc2mXxkV5OFjtU10rPZXgnNvHxgT3akwu6A7XGSXKUv6AxI9r9xq+7hHB9cxqklgG02DUZDiNm3MC0TesZN671Nc5pmtzLLtvHADg4bMHhoNRuxWu0tpn3AjN6ChV+D2BKPcpjbRKQ+DZz85MY2li2a07TEcQqTPL64ze0QaanZo3QKfmwSGs4TpJddx/rzwm7qSAyVza5cubRmP1jkMxQ6/1JLOHrWWjItPXWcVkDw7TJUoAn0VGHY8QSRuGozA6v3qz05ZCYXKHsBqalGh2vwyYufuX/dCvbWP0adNY9/XwsCOnhSMiolhxxCIb9hzBoeq6xJVFh161aXebQkDgxUuGhfYzHqarV4cFdEYtHd+jDCO7lcXs60YyekbbNSnGib1bOhqmmw6ZWq5swKVdiLKQZZIEj/ni2olg1jMaeZyYc6aSvfko9sp5VKem+OLGUSjK91pc0/77zoCPiIgoI8WT2O/Ev3+P8/49C7Upnt6id/83qxM8AuhSVmJ4PrN69KPfj8Q1o7siL8GN1eE6MZnZdJURV2aBehorSOZzcCcdnxqDUaIEsEofL4RIemCn7hktaxiZk+PxCFULptM5o/b2S+Y7i6yNarZPYq41oH0pTujZAg+c2d/2MZyX4h7njBLlNvVawrsOVds7Rkqs2H4QALBi+0H0vOPLpJQN0L9/K/XJlcd3idmmxxM1Sij2dbNRUQPbN8Ffx/dJWj2SzO8dkZFExtdIdSKcKKyaswbnjBIlgHX6eJH0HjR1fWe0yLbToM1uy2Iy35tSSZt9xImqyAvzvHjtiuEJOReZY6s1Ue5T94xe+eq8mNdnrtuD6jo/TuodWZtzwZYDMXNLpZRJCdj0h+QKABIdmhaHt5leW8A0SWCSB0XpUuZzJjWbrvLAzuilNDTaJnlmFCUQe0Ypp32/ahfW7jqU1GsEAhKHVJnl9JjON3F5w1x+32nR11BdRGpCN7fZdK12T0X9YucSSjnS0QbL+o6ISJ+6Z2znwdie0QtfnI0rNEHqxj1HYvbzx7uQtwGzYbXqHk2z+7yAeu6nvWukit5nnmiZWgdy1JJ7qe7QZs8o5bTLQqndNz4yIWnXuPa/P+Or5TtN9/EIgcMGAaubP/qCPA9KCqL/fBOdGh6wXvss2H6cmmy6mVqtsL4jItKnrt+U5UycHKPwBSTyzKf6R9l6oMrWfnpVnHJPVzfwmpVdCBGeqmOWwCgdfEkK4gGgtDgfANCm1DyrbbqwanYnLb3YKb8iURLU+gLofNsXeGfu5pRf2yoQBYKVm5006LbvATr1i7rCe/jsATZPZM5uUoVk3rycDOdMR+XD4abuaXvwiSi3WOVT0KN3hNOe0Y8XbLW1n/6c0VDPqO1lXyLlMztfrhndowxPXTAEt5zWK91F0ZWjH3tOYjBKOeFwTbDX8ZEvVwIAquv8qPPbz8BXUVmHnzftS0rZgGBllO+1vjPG07uprvDU82/iYRVkpqIFTYmH9S711tXH4o0rI3M8GdpkD35RIMp9bkb+6CW98fmdncju/eXVmRtjtnl0ekbNBOv34Nfp5g0KYl5XAvJ09pAmgxACZwxqi0KTLuvuLRsCAI7q2CRFpYpgQ3H24DBdygnKTV6psHrfORmD2pfaPv7il2djcXkF1j803nYF5IRHRJIiqLdpG3vj+YJutkh2bSgwL8hLbPuT0PyfDGafyYhuzQEAczcmryHBCoMqIiJ9rnpGdQ5xeh4nvZHtmxajfH9wWG/b0iLUhJaSsTsyaGzvlujZqiHuPaMffjGwTczrylDZRC/fkg36tS3FtFvHoGOzkpRfm3Wze1xnlCgO6vkRi8orbB0zZdkOLA7t60/SrG2PEDGtonbXN1N78vzBhq+Z9arWhIYIFyY4GA1LQTbdNBcjo65JRJQN3NSoesP3nZ7HyX1ZXe3fdErP8GO7PZn3TewPIQQuHdkZzRsWxryu1LvdQr2E9U2n5g2YTCiLpOMnxZ5RygnKsB5fwPni2L994+fwY39AIt9BkgS7hBAxwaK2pxSwHqY7sH0Tw9fMenSfOH8wnv5uLRoV5VuW1YlMyaarSFZr3il9TYY9s451jeuMEuU2N+tMJqJn1K6SAuMK324watXI275pCV657GgM69zUUdkSIa3rfKYZ49/swWCUcoJyv61zOK9EK1kVnkfEBot6N0qrus8sWDV77aTerRzNI+3dupF5ABYiQvl0c3luRjIzMRMRZatAQKIuEICAwIsz1uOqUV1i5g+6mjOqt83heewO071vYn88/vXqqG3KoXZzONiZ2nNi75a2zkWJk8vfS5It1Y0YDEYpJ1gFka/+uAGXHdcl+piAxJPfronalsy1zOwM07WqQJV5oXrDmJRjE9EaOPmm0Y72T00LpPVFmE2XiCg1bn1/MT6YX46rju+Cl37YACGA34/pHrWPmypVrzp3knnb5w+E8yRY0SYWVD9LRv4ISh32jLqUhs+Nc0YpJ1hVU/d8thyn/HNa1Lb5m/fHBKMuRvnaIkRsoKk7BMjkJqB3DjUlUE3GeqOGUnApJUthUb717SodA5JY4RFRLli546CjHpEP5pcDAF76YQMA4JDOWtpulm/SnTMqgZ/W7cU/v1plefxVr8/DY1Os97OS0ro0SerzXM36+86zD4NRygnqntEjNbEVIgCs2XU46nmtLzbyTFYCo9d/2gSv5q9N70ZpdvMUiASweoGssk2pe6bcNBr/vvgow/O1aFSIpiWJmUOajJv+vy4YgmO7NsPoni1w49geuH9i/yRchdKp/s5mIsosP67dg3FPzMCbc9yv1a0dWVRV60dFZZ2tY9VBsF5vqpTABS/OwlPfrTU9z8cLtuL7VbttXVOPOnjLhaVYcuAtuFafA/Fsw2G6lBtUlVe/u6fYOkQv8EzWMF0AyNOsvaJ3JbObpxAiHGjm66zj4g0P0w3+36t1I/Rq3cjwfLP/MjbuYCCZt/pfDmqLXw5qCwC4WZXhMNOwunOHXxSIMsf6PUcAAMu2HXR9Dm39eeoT07BlX5WtYwMSCI+Y1amb1b2lPn8AedrW3RA3PaKxvcHBglgN0/38huOxZKu9rP3pUp+nkdTfdx4/Lu1C5IKbGFIv8HQzpMiOW07tGdPKqjfP1ez7efcWDcNBaN+2jWNeVypOuy2hHk/sPFanlPKmO65I5+UZVBFRtjOJA23zByR8/gB8ofmadgNR5ViFXhHU1fXOQzW4+d2F2HO4JmY/pxn1ze7fVsN0+7crxQXDOzq6XsrV4+qJVbM76fjYGIxSTnCTBVf3mCQ1B5U1LIwJ/JoUxw6RPWAypOnly49G0wYFePGSYfjPZUfHvK7MJ3Wy2HeisPWViCh7JaLa8AckTnjse/S+c7LjY9X1sW7VrNr4+aJt+HD+Vrw2c6NuGeKh/hhyYZhu9r8D99hQnD0YjFLG+3zxNpz97I+m+7ipfvSS7Tk9T3Wd3/a+6tviI2cPCN8oHzprgK3jlfmdp/RthYaFsSPsi0MLpE4Y0MZ2meJVn4NQil89XgKPKOd4BLD1QBV8LgLC6GBUP4GRYl9lLYBI4LlhzxG8NGN91DYnjI7QBqN920RGJD14VnbkMEhH4zSRUwxGKeNd/+YCzN98ACMe/hZD7/8a63Yfjtkn4KIC0qu0nPawvjdvi+PrAtGVX+Nie1O3rVppiwu8+PG2k/C3cwa6KpMbmTJMN53q83uPBz82okwUXQfuOlSNf361ylbDazw9UVbDdNVVsz+0nrhyufNf+AkPfLECuw/VwOdwrXGzEmunpU76wyic3Ce4/nZZw0JH10kX1k/kSoobihmMUtbYXlGNfUdq8c5cdwGgll7gaTcW/XbFTgy+7yscqbXfM2okz+ZQIL2kRVrtmhSnZW20+lzhsXeYiLLNf2dtwua9leHnRvex4Q9+i6e+W4u7P1lmec54euGemboOa0MZ763WGdUmH9x5MDh39IlvVrvqlVWXWv0WvCZ1brbc9dkzSk6lY3gzg1HKOnp/Jm7mjOonMAr2stb4zIPMB79YgQOVddhRUW3rWkIYNzTZrSwycQHuTClRy0ZFAIBjujRL/cUz5UMgIrKhxufHHR8vxbnPz4x5zagqXbPrkOV51VXU54u3OSrT89PW4eTQWuBWDcVGQ3F3HaqxNUy3SUk+BrYvjZxb9VpUMKp6cv7RHSzPm4kYi1I2YDBK2Ufn5mo3Fo1ey0xnmG5A4pb3FqHXHeYJGOpCGfsmL91h78I6lErCavhtJidRiLSgpbeMHZuXYNqtY/DHU3ultRzkFCeNEqWaUvXtOhTJRmsVtNjpcHzphw3hx6//tMlN0Uyur+oZNShMdZ0ftXrJIDTaNSlGh6Ylhq8rn4W6Y5RBHVHycJ1RSrm1uw6jW4sGrocC6A0nstsz6g9I5IUWMzM65MMFW0OvS8My1vmCB+84aK9nVI9yfatgc8pNo3XnyWaSTKioOzVvkJbrZsJ7z0b83Igyj1G96DQx0JwN+xJahpnr9saURTuqqM5GIApE33u096ECrzf8OJMbgu1iRllyI1nLHBphzyil1M+b9uHkf06Lq9VUe289WF0XnjNiRT3XRO+PTV0Jbq+oxrAHvsZSnUWtna5lZsaqwuvYrASn9WudsOslEqs5fgaUPkKIcUKIVUKItUKI2wz2GSOEWCiEWCaEmJbqMlLmUTfe7jtSi+o6f2SdUYMvobW+xNV5VvTKcMfHS8OPlXmhByrrsHpnZPhw8wb2kgppG7SVj2NUjzKM6x+pa6PXGY18QtmE9RM5xXVGKedt2BNMmLBoy4GEnfOER6fighdn2dpXHWzqtb6qK+lvV+7CnsO1eDGUMl6tznHGvtg/b6Nhul//32gc370sUs5MrvxE1H/1Elue3ePSLu4JIbwAngFwOoC+AC4QQvTV7NMEwLMAzpBS9gPwq1SXkzKP+u9u6P1f49znZ1qOVNAmDUomq0v5Qj2gb8zahFMfn45fDmoLABjds8zssOhr6NSrN47tEVUfm+Vp4H2fKHEYjFJSrd99GFWqjLNmt+8vFm/Hoeo6y3Nqz7G/0voYRVT6eN2MfRF1oZZgvZ5Lu8OB7PBqKrUerRqhtDg//NxOFt10Y71MTvF3Jm7DAayVUq6XUtYCeBvARM0+FwL4UEq5GQCklLtSXEbKQNppLUu3Hgw/NgoE3SQJdENK6+ZXbcbc0MwbW/NaAc0wXdU3Cu0tSS/TvbLGd0Fe5tfLAO+z5E6qG4qz46+JspKUEif9YxqueWOe5b5rdx3CdW/Ox63vLbbcN56ba/Qw3VjqBEdKwKlXIdlZc80us2G6T184JCOz6Coyt2Spw8+A0qQdAPU6V+WhbWo9ATQVQnwvhPhZCHGJ3omEENcIIeYJIebt3r07ScWlTKFX92lH73y9fCfmbozM+wwEJPYcrkloQ6yeK1+bZzkk2GgtUbsBs/aerYS/2u8Wepnu753YH38e1xuje9jvhU0n1k/kVDoaMJjAiJJGqRdmrNkT+5rm+fzNBwAA5QcqY/bVimddR6mq46ReNl3Vptpwz2hsm43jpcyE/vWC58/+6qI+r7XJlmdKE73fPO1NJg/AUQDGAigG8JMQYpaUcnXUQVK+AOAFABg2bBgHT+c4OzHb1a9HNyIfrPZh2APfAADWPHg69h2pTUbR8N3KXdhpkRjQKGeD7XpZCIPPIPpPSl03K/f50uJ8/G5MN5sXSj8OJ6ZswGCUkka39dXgvvin94M9onaHBuw/Uos6fwAtGxc5KpNVz6h6q5Ii3pvk8QPqCq9360ahUmTH90GlomN9R25kx295xioHoF78sD0A7eKO5QD2SCmPADgihJgOYBCA1aB6y6hhFDD+m1QHny9MX4/HpqxKcKkilm07aPq6dpiuwux9qUWlJTLJrMt6jSg1OEyXksbNHBM7LZtCAEPu/xrDH/rW8fk37j2Cg8q8VJ1r3f5RJGNfbXiYrrs/k56tGuLco9pb7qceCtQrFIwqMr3HkZV15v+MMhU/t7jNBdBDCNFFCFEA4HwAn2r2+QTAKCFEnhCiBMAxAFakuJyUYXSrZgd/ju/N22K9UxIZDtO12TWqrbeUz0O7arbZfFKiXJaRc0aZPp7ccPPLbKcyiadSOPvZmTjz6R8B6Pc+zlatjaasJaoEizU+PzbtPWL7WgLRQ4HUVzuxV8vwY2XdUzUliB3YvtT29dKpPlfUDMgpHaSUPgDXA5iCYID5rpRymRDiWiHEtaF9VgCYDGAxgDkAXpJSLjU6J9UPZg3FVbV+7DlsvlTa3sPJGaJrl9NhujE9ntD/fqId0ioEcO0J2TMkVw+rJ3IqHQ3FlsN0VenjT0FwyM9cIcSnUsrlqn2aIJg+fpyUcrMQoqXuyaheUQd7gYCMqhCMhtPYSo6gOpHPRTKF9XuOhMpgvl+NL5ikSMma95cPluDDBVux9N7TbF0nOmNfxJtXHYPWpUWRpV1EbOvrSb1bYeMjE2xdJ53CLciMyIhSTko5CcAkzbbnNc8fA/BYKstFmc2sY/SLJdvxxZLtpscfqvElvExOzFq/L+q5EoQaBdkC0e9Z6NS52sdA8DtCu6bFrstJRPbYmTMaTh8PAEIIJX38ctU+TB9PMdT1Qte/TsKYXi0wcXBb02PUc0F8/gD2Vca2wKorjDdmbXJVtkDAelZmdV0w0H1+2jo8P20dWjQKLqhdGW9FHHoDyueTydlyrTAI1c+4SPbYneNFRImjF7Rl871ceT9us+mayvJ7VBb/WKkesTNMN2Hp46l+0d7Dv19lvWTA5n2VOPe5mQCAByetwPAHY+eFLi4/EH68wyLrnpGAlFFrjhrto6b0YO62GMKkpg55jeoEBjPZLV9nmDVZ4689UerNWLMba3ceTncxEioSjOq/rt0shP40Hb17kjR5jTLTcxcNxflHd7DekQylOommnZ7RhKWPF0JcA+AaAOjYsaPz0lJWcfvLPG/TfgDAKz9u1H19qiqoPVztrpfSL6Vlr4w2WFUCXyXzr5WooUBCRCo1RGegVXeMZlvrdGSYblqLkVbZ9jMjovrr4v/M0d2ezXcxJaGRUc+odnNUYiKhv115Tfke4M3a+3y2ltu90we0wekD2qS7GFkrHb/qdnpG7aaPnyylPCKl3ANASR8fRUr5gpRymJRyWIsWLdyWmbKEWayXqDYXt+cJBGKDzZh9DN7AIZsBsNHfc2wyheytLLK2fiYiorBsHow6dVVwZpjtEbXabLrKZp0su8r3hGydTsM6mrKBnWCU6ePJFf0kCZlxZ5y6ahcmLdlhuo9RMGq3TjKqBGKSJGT114CgTPm5ptKbVx2D347umu5iZLXs/80nyixD7vsKF744y/FxRiOFerVqpLvdqTsm9EnIefTUKT2jNpd2mbNhn+nr6rpb+R6QvT2jRM6leqq05TBdKaVPCKGkj/cCeFlJHx96/Xkp5QohhJI+PgCmjyeYJxOw84veolEhdh+yPz/Tid//b77lPlY9p1aEJoVfeC2znKrUoocc1ycju5dhZPeydBcja9XDXxmipNtfWYeZ6/bGbL/05TnoUtbA8DijOnnVzkMJKdeoHi2Q7D4KJ1W2/tIuwf+P794CH8wvR3GBF0rCfm+29oymuwBENtiZM8r08eSK2c3eyn9nbULrxkWWwWgyb7RGq8a0alyEjXsrLY83WjBbb5juY+cOxK3vL866iqM+BqFERNlm2urdmLbaOImg3Uy0bqWirnD3HiLrgSt19kNn98cNJ3VHaXE+BndoAgA4pmuzxBSSiGLYGaZL5E4cc0bv+HgplmytsLxEsnpOAeCbFTujno8f0BoAMK5/a1vHOxmmm+29pdldeiKi3HWous5ynzgHAllKRcdivEtFKdVwYZ4XnUO9yCO6Nceiu07FSb1bxVu8tMjyrxZUTzAYpaRJxVzIr5bvtN4pwezWd1YJjHTnWWZZxaE0BlTV+dNcEspGWb6EH1FWGHDPV5b7JLu+TkWDq9/ghtKiUSG6tYgeoqz0okZns9c/b2lJfkLKR5QtUl01MxilpLHT0vrZom2YbjJ0KJMoc0htDwVSLeeiJxcSFym2HqhKdxEo27DJnihj3P5RctN8pOKv3eg7R0mBF9/+cQzKGhaGt9WGkh7l53mgfPXOxUR8ufieKLnSMVLP1pxRIjfsDJm54a0FKShJYvy86QAAd7050X/buVc5JHuIFxERJUdhngc1PoMkCQniMfiC27AwD4dr3K0XrvXc9+t0tyt1troXtC70fgu8kT6ZXGwfy8X3RLmHPaOUFDPX7sHqnYfTXYyE2nM4OCTVaCiQlpNhuvHOdUm3bC8/EVF9FW8g2q5JcfhxWcMC3X2MgqKJg9vGdW0n1GW4cWwPNCrMQ/92pZHXU1aS1GEwStmAPaOUFBe+NNv0dW3wMrB9KRaXWycsygR2h+kKEf0+ZXgokMkxOVkdEuljEwZRep3UuyW+W7krrnM0b1hgOVXDqGc0FcGS3pSYEd2aY8m9pwVfDy+7lvyyEGWDVPcvsGeUXBn3xHRc+ercmO2rdhzCpr1HHJ8vmzrW3CQwElFJEoJPfj+mG4BgcoVsrwyTvSwA5Z4s/VUnyimJyHIbXdc5O6FRkJoM1o29vCsRpeOvgMEoubJyxyF8q9OaetoT03HCY98bHqcELVv2V8GnWsgzm4KZgM0JkkaVsrL1/OEdsfGRCSgpyIMvdM58b3ZWhoHkTjciIiIHXpu5EdU2spyX77effO7r/xutu/3GsT0w/dYTARgHtx6DF1JR4+nNGY0qQ3ZWu7ZwtBVlAwajlFJK0LJoywE88uXK8HZ/FmXAsVtUAYSDTHXrr17F5wt9MN5ULMaWBLmUGZiIKNvd/ekyvDdvi+V+K3ccsn3OPK9Hd47n2D6tkBdqSDUKfoxzKCS/zouMPNK/VraPTCLKdgxGKWHsBJTqHtCXftgQfpxFHaOO5owqLdMlBXmRCk+nWvaF0sznebLzTzKbfn6UOZj4iih5DlTWmb7+rwuGODpfnkegON+r+5ryl2wU0KVzzqhdGVSUxMnJN0XJl9q6OTu/+VJGGv3oVMt95m8+oLt91U77rbPpZvcLtIDA3b/sh7OHtMPonmWR7TqVwy8HtUX3lg1xxXFdElVMooyWSV9CibLdiu0H8e9p0UubWNVUBXnOvgJ6PQJFBsFoQDUK6Kwh7WJedxqkJpLtOjsHb0q5944o2dLxZ8BglBLGKpseALw1Z3NSy/C3cwYk9fyA/WG6y7ZVoEOzEvzz14NRmOc1/QNv0agQ39x8Ajo2L0lMIVMsB+twIqKsMeGpGXhYNfXFDqe37TyvMAweC/ODXye7lDXQv5bRfE2La151fPwNtFa9tuHX475S5snFAJtyD4NRyimDOjTR3V6Un7hfdaN1RhsV5eE/lw5Dm9IiAMCR2ujkEbk8IpFJEoiI0kevkdSqzhFC4A9je9i+Rp7HE5ME6I4JfQAALRsV4aVLhuGZC4fqHpsJw3StrsW4jSiIS7tQzjJaDDuRjCq8c4a2T9g1DOeMymAihwaF5sv35mKFl4vviYgoGxgNQ916oBLrdx82PM4jgK4t9Hsy9Xg9IiYr7lWjuoYfn9y3FUpL8nWPNaoirIbpJqJuMcvXEHWtHGxUzb13RMnGYbqUs3q0bIg2pcW29jVKKPuVQVp5NbcVnhPfLN/pqgyR11k9EPGvgCgx3ptXrrv93XnlOOkf0wyPE8JZ0rx8r/vay7AOtjhhInpolAZkw2G6Fq8TUXIxGKWU6NS8xPbyLUa79WzVKPzYaNit0fyIRK6Ysm73Ed3tVvNSYPP1bJSL74mIKBtMX7Pb1XFCCEfLiXk9wvUcRONY1GAOaii5UqMi/Z5WJ3J5TihRLmAwSnG559NlqLBIHw8A36zYheXbD9o6Z6c4kvgYVngZEC3l8lpm7O0lIkqPPJetrcLhsXkeD7wuvzU6rYOVYHRsn5ZxJya0WmdUkZN1cw6+J0q+VKc4YTBKcXl15kY8OsVZBj8rD545wPX8UqOhQKlMH18v56Xk3luiFMjlpF5Emc4jBLxehz2jLusvt3WERwj8+uiO7g4OU+pms1czo9E60XLvHVGypeM7KoNRipvd4bd2NSrKw9jerXRf69umsemxRo28qahj6vMwXSKncvGLH1E2EQLIdzBnFHA/5cVOg/DIbs3Dj5X7g95hTpIuAfYbvXLxjsT7LGUDBqMUN6t7nZPU8UCw9dVoMe63rj4WgHHSBbctOqN6lLk6joiIKBt5HM4ZBSLBzQk9W+CpC4bYP071+NbTeuHMwW1j9nny/Njzab9ffHLdcfjg2pG2rwuohhyyoZgoIzEYpQQwv4N3b9nQ0dm8HoGSAm/Utt+eEEwfL0PVitMeUKuW0a4GC3U7UZ9bX4mIKLsIAHkOhukCkR7OQe1Lccag2IDS6jgAuO7E7ujZOpiQUKpmp+nV69oe1UEdmqBpg8g0nuFdmlleO5xN13Zpc0d9fM8UP6PlopLFfEFEIhs+XrAV7ZsaL9vidL5mnie2tfZPp/UGEBkSnGeQRSETWjbrZ5KEHHxTlHQy5WkSiChMOK+flarZ6ewcO5fRK4vVYQUOMipZ1s0M3Yi4zihlPp8/gMpaX9S2qjo/HpuyyvAYIYDjujc3fF3L4xExfwxKcFpanI+uZQ3w8Nn62fVSkajIinUJ0l9GonTjXwFRYsTTpGM1TFfb8+gJ7R9w2HNiZ2kX3WDU4kZxwXDr5EbKeZuWmC8TkwFfHxKudWlRuotAZInBKNn2zfKd6H77l+h71xRHxwkAvzmmk+398zzCMKjM83rw3S1jcFq/1vrXclmZDOnYVHe7m2QN9TGBUQ6+JSKinFbnl/BaVEjv/naE7nbHPaMWtUSn5iXQTwVhftyJvVvYuHbQ384ZqPt6eOkXyzNln5tO7pnuIlAW4tIulLE+XrjV1XFCWLe+qnmEvcEypcWxrZxue0bblBZh4yMTYrY7qXDtDjnMxQovFwNsIqJs4Pb2W+cL6N67bzu9N1bePw6L7zk15rWTercEAJzWTz/jvVZ+aE6q0VcACYlJN47CJ9cdF1V/Kw+t6hY73y2UczQtsVgyLgfrMaNkkERG0vFnwDmjZFthntd6Jx3CYca+PK+wNQdx/IDWeGvOFs21HBcvdFzi/vyse0ZzsMYjcoHrjBLFz+2fkS8Q0G3AHdmtOYryvSjKj63z+7RprNtwG1Ue1R/2+9eORItGhTF5HtqEho+2LS1G37bBJduqav2qcwT/t2pgtrM0jdkyMVH75WI0SpQFGIySbXkuFxgTiMwzscMrjIfpWl/L2XGtGhdi58Ea12unqUWG+uifTOZwRr9cfE+UXGyTIUovKfV7FhMVlP1hbA8M6tBE97UzB7dD46J8nNirZeS6Ope1Koned4uyhgXYc7jW9jnCdTPvSURpwf57ss1t5kshhOW8FDWvTgIju8yGAulRentTWQnlYoXH3l4iouwytFNT3Toz3tu5Uh90al5ius/YPq2igkk3w3QB4LKRnbVnj3o2fkCb0FaDhmLdo4jqr1SPWmLPKCWdgLNeVa9HRFWQRi2ren8sToOiyO7xV0PhCs1wDdTcrepy950REWW25dsOOtr/xpO644axPZDv9eBwjS/m9XRlpdcNjG3ULvec0Q+Lyw9g/uYDMeeZf+cpkfwSBqeq8wcAAIU6w5KJ6p00/P2zZ5SSzuNxOEzXE5kzeu0J3fDJdcfZv5brOaPRz1s2KsStp/UKPz+5j41kDRYZ+SLDdBm6EQGcM0qUCGt2HXa0/82n9kJ+aA6n3qglG9MwTUmXf9i6Q4ZtVpdKIKo9plmDgvB5jc5VXRcKRpnshygt+JdHSSfgMIGRxxNumXVaqakDvf87uScuP66zreO0LcFzbj8Z153YPfy8cZGDQQRWC2szFiViowxRBtDLthpvz+iEgW0BAAPalTo6TmmEbt6gQLUt+H+jwryosj570VDcP7Gfs/MbbH/6wiEY0K40HKATUWrxL4+STzir3DyeSA+nWSiqO0xX9Rv9h5N7oH3Tkph9bz4ldt0tq9Ld+Yu+Fnu4n1NLRETkRFWtPzy8NB5tmxTHbIs3od8pfVthzYOno0erRo6PffL8wfhYNRpKCVDn3XkylqiWmhk/oA0uHtFZ9xxGDV1GU2V+MbAtPrvheMdlJcpVXGeUco7TOaN5Hk+4NTTgcGVtbdCrd9WrRnWJ2WYVKzdtYLE+GewPOczFntFcfE+UfGzAIXKnz12T8ZuXZifkXLGJhuK/obvtZZw4uB06NIuURylJYZ7X9vJyRl83WE0RWUvH3wmDUUo6j411RhfdFWnx9Kh6UuP9qnp052YAgBN7R9LHR2XsC/8f/5+fcl7DOaPKtXIwcuPcP3Is9/4MiFJq9oZ92HWwOu7zaO/fiVjqLFHcDBk2qmNzsOolygkMRsk2twGbMBim27JRYfhxnled0j2SwCgQZ5QzoH0p1j00Hif0bIFfD+uAOyb00V/LzMZbe+qCIaavK+ew6gVmfUhERInwzYpdyPdG1yrPXjTU0Tm0IxS09fW/LhiCFy8Z5q6AcWIASZT7GIxS0gmIqGBT8fJlR4cfa4f0KHubxaJ6Q/z0Eh4pvbJ/O3cgrhrVVTcwtlPhnTGoLQarlplpU1qke53zhnWwPhkREVGcDtfUoUXDwqhtA9qVxtRPZmJ7RqMrxF8OaotT+trIKJ8EbmJRw+XV2BRMZIvbjNhuMRilpPNLaTnURtuyO7xLcHjtSarhtVrqv5VfDGyDvm0ao6TAOuutXkmMKqkuZQ2inqs7PbXvSXk+bkBryzIQEYd3E8XroUkroU2tIETsMilDOzaxfc5M6I2MZwlw47W+3ZaGqP5Ix9+Jg/UqiNzxBwK6c0aj5m5qfvv7tyvFhofHm86vVGcSPLVfa5wxqK2t8jjpGf3k+uNw4EidYTmjzxvax1YpiOo3/p0QJYZ2lJDXE5unwSwXoLZRKJOCNje9mewBJcou7BklUz5/AJOWbIeU0nXmS39Af2FtIYDbTu+N1o31hxNZJfrxuMyy4GTOaOOifHRsHpvZL3j96H0vPKZT6Fz6JzutX7DHtKGTNUuzBDu4iIhS76hOTWMCTY8QMXWuk2F38a4zmkhuqnn2jBJll9z7VkwJ1f32LwEE1/46XONzdQ5/QBoGgNee0A3XntDN1XnvnNAXdX6J7QeqTIfzxl7XvJfWTHQm3sjjNQ+eHk5cZHSm207vjatGdUHjonzbZSUiovrp3blb0KdNYwxoX2q4T4emxdi0tzJqmxCxgZeTBsNkBaOXjeyMRg4bY91knzc6gj2mRNbS8VfCYJRs2bS3EpOW7HB9vF59Em+F17RBAf5lkeHWLrslKd8fqfTVxVcnYDJ6W0X5XrRvql3PLTewiic32KNOZOxPHywGAGx8ZILhPn4JaP+S9JZTC0iJNqVF2HekNuYc2l7TZC3tcs8Z/Rwf4yaRitF3C/aMEmUmBqNky/aK+NYy052nGdcZ4zeia3Nsr6gKliVUmIfOGoDKWuMe4G02Pof62PrKoIKcEoIJjIjs+mzRNnRsVoJBqozuQDDI1MuGe6g6uh4LBIAZfzpR99zaP8OsXwvbMJsuEWUiBqNky1tzNsd1vNu1PZNlxp9ORFnDQox/aoZSGgDAhcd0jPvc2V6PExFRZrnhrQUAgCk3jYZ6JbRaXyBmPW6PiG1ALsr3IM+rnyZE73jKbl3KGsSsUkBkV6obihmMki0dm5Vg875K6x116S/tks7W1w7NoofLMoAkIqJ0u/7N+dh2oAq/H9Nd9/XTnpge9fzr5TtRWhydh0Bbt/7fyT3xq2HtDa+pSkyve3y2MZwzmuXvy4mpt4xJdxEoS6Xj74TZdMmW/u0aOz7mgTP7AwC6tmio3zMab6HSzKjlqB7Vd0Tx4TBdoiifL96O+ZsP4KrX59k+pqKqLuq5dr7oH07ugbZNig2Pz8Se0WR8Ic6At0VEOtgzSrb4AxKNivJi5qGYueiYjhg/oA2aNSiIWhNUkQnp45XkCG5KYrTUTX2cM0rkVPDvhNEoUaI5DSZ9mvo5V3sQc/RtEWU99ozWY18t24HOt32BUY9+h798uMR0X38AKGtY6Oj8Qgg0a1AAIJhttnPzzBsaq3wVTmTlmwnvi4hynxBinBBilRBirRDiNpP9jhZC+IUQ56ayfJQeTht6X71iOM4Z2h5nD2kHIDi/NN3ime9o1MSl1PPDOzdzfW6i+sCosyVZ2DNaTy3dWhFOG79lXxXemrMZD589wHD/gJQxQ3mcisnYlwE9iMpbSmRJ0v+uiCjXCSG8AJ4BcAqAcgBzhRCfSimX6+z3NwBTUl9KsuvnTftx58dLE3Iupw2iQzs2xdCOTVFV68f/ndIThXnehJQjHv+76lh8unBruEE7UabcNBrtmhoPWSaq77jOKCXd9ooqvPLjRrwwfb3u65OX7kDr0iI8OnllVPC5cMsBNCiMrqBuOKk7/vXdWtdlyYQeRKX1JxPKQlTfpLr1NccMB7BWSrkeAIQQbwOYCGC5Zr8bAHwA4OjUFo+cuO/z5Vi+/WBCzuV2CkxxgTcmuV+6dG/ZEDef2ivh5+3VulHCz0lE8WEwWs/c8t4i/Lh2r+Hr1/73Z93t+47UoqQgujXxiuO64K05W7DncI2rsmjry0tGdErIPNKpt4yB1+Z5Ij2jiRymy8iWyAr/TOLWDsAW1fNyAMeodxBCtANwFoCTwGA0oyVyFY5MyMdARNkrI5d2EUKMA/AkAC+Al6SUjxjsdzSAWQB+LaV8P2GlpITx+d3/huktrK1NlPDncb3xt8krbZ1PG7TdN7G/67KpdSlrYHvfcDCawLq7Pn4NkKm+cxGR3q1G+4f4BIA/Syn9Zo1kQohrAFwDAB07xr/WMjmXyAAyE7Lhptu0W8ekuwhEZJPlLHXVvJTTAfQFcIEQoq/BfpyXkuHiqfC0AYfwRJ/v1tN64beju5ocry2L66JkNDZKE1EKlAPooHreHsA2zT7DALwthNgI4FwAzwohztSeSEr5gpRymJRyWIsWLZJUXDLjSWCFyNE5QKfmDdCpuf2GaSIKSsftw07KtPC8FCllLQBlXoqWMi9lVwLLRwnmiSNJ3raK6qjnAtHrmXUta+CoQs2MBEbu54warzOa/vdFlA3YoR6XuQB6CCG6CCEKAJwP4FP1DlLKLlLKzlLKzgDeB/B7KeXHKS8pWbI7tYRs4H2FKKvYCU305qW0U++gmpfyfOKKRsmQ2KFAQjeIG9S+FGUNrTPgZULPaDxLu/CLdAQDcHKKvzLxkVL6AFyP4GikFQDelVIuE0JcK4S4Nr2lI6e8JhXiXpd5GYiI3MjEOaOcl5JDEhk0BOeMxp7vk+uPt1mYhBXFtb+M74Nb31tkK3gmIsokUspJACZptuk2CkspL0tFmcgds6r5qAe+SV1BiKheS8eoRTvBqJN5KQBQBmC8EMKnHQ4kpXwBwAsAMGzYMPYrpUEieyOFcHY+7TIOmTBM94xBbXHGoLbpLkbWS/9Pkogoe5n1jNpxQs8WmLZ6d4JKQ0SUOnaG6XJeSg5J5DBdIYDy/VXh51brk9WXBEb1EYdckhtskSQKiqdu7t26EV67YngCS0NElDqWPaNSSp8QQpmX4gXwsjIvJfQ654lmkUQGgF4h4AtEvk72b1dqur82GM31eYYDLD4PovosE0ZGEGWKeILRXK9LiSi1tCMZk83WOqOcl5I7Ej1n1ImAJhrNS+Qq3xlm8k2j0LZJcbqLkUK5+7MkIko2bxyZ7nn3jcYRF0RxSMMNxVYwSrnDrGf0cI3P0bmcxrXaYDQ/nnVmMlzv1o3TXYSUYsM8EZF78fSM5nBVSkT1AG9h9YxZhdf/7imOzuW0l7VTs+gFqHO5Z5SIrEmuj0QEIM5huuwbJaIsxmC0nklkAiOn/n3xUXjxkmFoU1oEAMhjBqOcwZ8kOcXedKIITxz1IatSIkqkTFxnlHJIOr8ANm1QgFP6tkLfto2xaMsBJl0gIiJCnAEl61IiSpB03E0YjNYz6ewZVbRrUox2OZDch0MMIzLg14qIKGt54xqmS2qsm4myC4PReobDeRJr9l/Hwh9gxcc5S+QG/3KIguIZpqvEsSf3aYmFWw4kpkBEVG+lum5mMFrPZELPaK6QAFo1Lkp3MYiIKMvF01BcVesHALx06dEJKg0R1VdCpH7OKBMY1TPxzNPs2aphAktCuYRtHERE7sXTULxyxyHD1/48rrfr8xIRpQKD0Xom3mG6957RLzEFoZzCYJSIyL14hunqmXTjKNw3sR9+N6ZbQs9LRJRoDEbrmXiH6V46snNiCkI5ZUzPlukuAmUh5hkhCkr0Umd92zbGJSM6J/ScRFRPcJguJZMnjp84vziSkfOO7pDuIlCW4dJORBEFXn4di0dZw4J0F4EoJ6QjISXvfvVMPF8AA4xGiYiIEi7Rw3Trm1cuGx5+3L0l81sQZRMGozlq3e7DCOgsORJPfcdYlIiIyB0pJV6cvh6HqutiXtOrr8m+ovzI19nHfz04fQUhIscYjOagNTsPYew/puGp79bEvBbPnFH2jEbjx0EUH/4JUX3y/erdeHDSCtz72XJU1vqiXmMsmhjdWzZEo6L8dBeDKKvJFNfODEZz0LaKagDAz5v2x7wWTzC6cW+l4Wsf/G6k6/Nmq1T/sRLlEg5KpPqmpi64Hujni7eh711Toupo1ifxqfMHPz8v56ITxSUdf0IMRnOQ2e9Rsn7JOjcvSc6JiYiIckh1XQAA8OPaPeFteiNtGFfZV5AX/Do7tFOT9BaEiBxjMJrD9Cq3eJd2MZIXT5peIiKiHGc2tUNvGozVci8TBrSJt0g5o3vLhnjr6mNxD9dCJ8o6jCBykBJvzt+8H51v+wLLtlWEX0tWwj7GokTkGCdeUz2m/vXX+1PwWlTYo3qUJbhE2W1Et+YozPOmuxhEWS/VVTNDiBxWWRucn/LVsp1Jv5ZVpUlEpMYhiFTfaL/fqeeJ6vWMcv4jEaUa54xSUvgCgfDjRLR2tC0titlWH4NRduoQEZFd2jrjxenrsXHPEQD62XTzvPyKRkS5j3e6HCQ0KYyihgIl4Pzf/PEELLzrlKhtbMElIqfYnkP12ZFaP85/YVbomU7PaD1s5CWi9Et13ZyX4utRGqh/qRKxVmhJQR5KCqK3sdIkIid4xyACDlXXAQBUA5jC7Nar3Vs2TGSRiKge03ZopQKD0Ryk7aS0SpKQmGvyqyUREZERvbVEleG5brLpAsDCu05h0h4iymocplsPqCtA6SIaHdG1ueFrfx3fGyUFrAiJiIjM6FW/ShCqN2fUqmfU4xFoUlKAYtbBRJTFGIzmIG31ZTVn1KpTc1z/1oavXTO6G5bfN8522bLdvy4YEn7M+W5E8WESMKrvlGBUr9fUqmeUuRqIKBncdFzFg8FoDtL+Cn21bAd2HaoG4G4oUKp/KTPZ4A5Nwo8fPmtA+gpClOU4tJ/qG72aVOkR1atmPZY9o/GXiYhIjUu7UEJoA86Neytx/r+DGft0Kzx+KXSsfdNinNy3VbqLQUREWUKvYVeGh+k6byhm3U1EuYAJjHKQ3tyT9SZrmTETrn0tGhViQLtSXHdit3QXhYiIsojPb5zAyE1DcbcWzKJLRNmPwWgOCuhFnGHO1zLjcLqIonwvPrvh+HQXgygn6M2TI8pVfpMpL1V1ft3tEwe3xScLt0VtO2doe9x8ak+0a1Kc0PIREQGpz4nCYbo5yGwtUTdrmXHOKBElGpu4KFut2nEIOyqqbe9/sLoO2w5UwW/SUFxRWRezzSMExvYJTgdRtwmP7NacgSgR5QwGoznIrMLT64lgRj4iIiJ7TntiOo59+Fvb+1/wwiyMfOQ7+Ezq5gNVtTHbhIg02qiH7J5zVHvb1yYiynQcppuDTHtGXWTs83oEvvzDKJQW58dbNCIionpl2baDAICqWp/u6w9+sRy1vthhS0JEglClli5rWJCUMhIRKVI9IJLBaA7y6wzFVegnSTA/nxACfdo0jq9QlJPu/mVflO+vSncxKEtxBgDVJ/uOxA7FBYAXZ2zQ3X5q39bh4bnBoFQyhwMRJVU67jEMRnOQT29iaIje/E+rjH3MtktGLj+uS7qLQFmK36mpvjHqGdVz+XGdcf2J3TFl2Y7ghnBQmoSCERGlEeeM5iCzYbq1Ot2mVnUbKz8iIqL4VNbqZ8zVEgK4fGQXeDwi3EvhieohJSLKHewZzSHTVu/G1v1VKMgzbmPYe1gvSYJ55TawfZN4i0ZERFSvGS3forX83nEoLvACiIwgEFCCUgajRJRcqZ5Bw2A0h1z92jzU+gN49JyBuq8f89A3uplzPR6gXZNibD0QPffv1L6t8PSFQ02DWyIitzhnlHKdOrt9lYOe0fDj0P9KzyhjUSJKpnTcYhhl5BBlCK5R+vidB2uwTWdtNAGBv4zvHbPdIwQDUSJKEn6rptx30Uuzwo/tDtNVC2fTDf+fmHIREWUKRho5qNbnrMILrmWm32NKRERE7sxavy/8uNLmMN2ontHwMN0gDtMlolzDYbo56FC1/Yx9QLBy06vfupY1TFCJiIiIsl9ANfJo6dYK9G9XGvX6/M370b5pMc5+dmZMjga72XTVjcNCMzyXwSgRJV2K59AwGM1BdpMkKAT0M+bedHKPxBSIiEgHp4xStrn702Xhx+X7q7C9ohpXvz4Pi+46FaUl+Tj72ZloWJiHwzWxgadeAkE90T2jHKZLRKmTjnsMB2JmsAtfnIVLX57j+Lg6neVb9HzwuxEAlF+86N++tqVFyPPy14OIkoNfqikbvTFrU/jxtf/9GVe/Pg8AsGxbRXi7XiAKAHuP2AxGdR6zZ5SIchV7RjPYzHV7XR1X57fX36D0wgvVMF0hgtutlnshIiLKddsrqrDzYA0Gd2hiul+tPwCZoKFt6vpXWxdz3W8iyjXs+spBdntGu7ZoiNP6tcITvx4cydgXeo2xKBER1Xdj/zENZz7zo+V+UkYy2sdLHXAqj5UlYtgzSkTJluopNAxGc1B1nb0KMc8r8O+Lh6F/u1JVEMp5KUSUGonqSSJKFmU5ln9+vdq0oTcgJWp8iQlGo3pGQ7Uz/1SIKBXS8fWfw3RzUKXtjH2qx+H5KIDzldCIiJxhexdlusXlB8KPn/p2Dfq1bWy4b0ACW/dXJbwMSt2sNNywZ5SIcg17RjOUP+C+GdTuwtrq1tfIMN3o/4mIiOqjM56OHp572GTZtICU2HmwOuFlUKpp5SsB1/8momRL9UgM3tYy1F8+XOz62Cq7wajhEw7TJSIiUluz67Dha79942cs23Yw4ddUGoYD7BklohRIRwJTBqMZ6t155Y7233Uo0iI7Z+M+W8dErWWm2cYKj4iI6qsLX5wVs+35aetMj3lsyqqElyM8TDf8nHUzEeUWBqNZYHH5AcveznOem+n4vOqhuNrERazuiCiZ+J06fkKIcUKIVUKItUKI23Rev0gIsTj0b6YQYlA6ypmN3C6tliyROaNpLggRUYLZCkZZ4aVenqrGOePpH/HEN6tN99+yz3niBPWXQU84CGVNR0SU6YQQXgDPADgdQF8AFwgh+mp22wDgBCnlQAD3A3ghtaWkRAnPGWUrDhElmUzx4i6W2XRVFd4pAMoBzBVCfCqlXK7aTanw9gshTkewwjsmGQWuL4IVTuSXYdYG/aG3K7YfRFG+N+7rxQShrO+IiDLZcABrpZTrAUAI8TaAiQDCdbOUUj1kZhaA9iktISXMoPalaNukGDed3DPdRSGiHJapS7uwwkuDmMZPg9RWpz85IyHXiMxLCV6HsSgRJRvXToxLOwBbVM/LYd4IfCWAL5NaIkqaPI8HT184NN3FICJKODvDdPUqvHYm+7PCc+jdeVvQ+bYvcONbC3Da49Ox93BNTAf54q0VOOPpH6ISFcUres5o8H/lyyGTJBBRMnFKQNz0PkDd8F4IcSKCdfOfDV6/RggxTwgxb/fu3QksYnb6buXOdBeBiKjesBOMssJLsj9/EFzG5dNF27Bq5yFMWrojnKxAISWwuLwCc0LDdbdXVGH/kdq4rhudTTf4JJyxL64zExFRkpUD6KB63h7ANu1OQoiBAF4CMFFKqZuVR0r5gpRymJRyWIsWLZJS2GwhpcQVr85L2vmHd2nm7kBWykSUIqketWRnmK7TCu90swoPoQQKw4YN4wCtkAKvBzW+QPh5TZ0/nKxAyx96YcTD36HAG18yZHXdpu0IZccoEVFGmwughxCiC4CtAM4HcKF6ByFERwAfArhYSmmeBY8AAIdqfEk9f7+2jcONykREmSYd3//tRDPhCk8IUYBghfepegdWeO59tmhbVCCqbPMbRKMBVXNFrT+gu49d6qG4Hs1iZhxCR0TJluqMfblESukDcD2AKQBWAHhXSrlMCHGtEOLa0G53AWgO4FkhxEIhRPK6/HJErS++elVtVI+ymG2sW4mIoln2jEopfUIIpcLzAnhZqfBCrz+P6AoPAHxSymHJK3buuOGtBTHbFpVXGO4fZ/wZRa9nVAl22TNKRMnEe0z8pJSTAEzSbHte9fgqAFelulzZrC6RlaxDHZoVY1D7JlHbmOSLiFItE4fpssLLIIGAjJlPmgj8XkhERPWdz++sfr342E54Y9am8PMTe7XA1FXBnBh6ga1ZsHv+0R1x3YndHV2fiCixUh8RxDfpkFLOLyV+Wq87Jdex6KVdNAmM2G1BRET1jNPpL/ef2T/q+T/OGxx+PGt9cG7oCT0jSaEmDm7rvnBERDmIwWga/eal2Y6P+cuHS7B5b2VCrq8OOCNLu3CdUSJKDQ5BpEwT7zDdovzYr1X53kiNOqxzM2x8ZILusXqjnpR51R5WykSUoxiMptEPa/e4Ou62D5ckuCSR4DPSM5rwSxARhfEeQ5lm16FqjHtiRvi5ttfTDq8qarzuxG6OjtVrnJFMKkhEKZbqdmJbc0Yp9ynZdDs2K8GmvZW4alSXNJeIiIgodR74fEXU86I85+31XlUryw0n9cDhah8mDmmHb1bssjxW7wugEox62HVARCmQjoZiBqNpEjBaSDTNGhflGw4hIiIiylW+QPQQ3eICr+NzqHtGi/K9uHdif6zffdjWsXo9o0qGew+HEhBRjmJbW5pU+/xJPf+Fx3R0dRzrOyJKlcxskqP6ShsMFucbB6N/GtcLFwzvELNdL/lfPIFkgBOriSjHsWc0Tep8ya1gOjcvcXUc6z0iSgXOgaNMow388r3G7fW/HxNZgqWsYQH2HK413NcsGJ1y02j8b/YmvP7TpnCyIjVmuCeiVEvGEpJm2DOaJnWB5C6szSE9RERE9mm/f9mtR3/480kx20arlnMxO02v1o3QpKRA9/rBjUpZbBWFiCgu6bjVsGc0TeJNH2/FbTDKGJaIUiXVra9EZrRrjNpNGlSkGc674r5xUcu5eHQiyVaNC7HzYA2A2Gz2akd1boqOzUpw8yk97RWGiCjLMBhNk0PVvvDjv47vjYcmrUzo+dmKSkQZjfcoyjBVtdG5HLwuW2e1iY/06uOv/u8EHKkJfg8IX0ancaZxUT6m/+lEV+UgIsoGDEbT5NTHp4cfNyrKT/j5OzQznjN6ztD2uPy4zgm/JhERUbZq3rAg6rlejyYAfPC7EY7OqzdSqbQ4H6XFwbpfmT/NcQJEVB9xzmgarNh+MOq5WZIEt8b2aYX3rtWvMBsX56F/u9KobawEiYiovpJSYtKSHQCAZy4cihvH9tANIicOboujOjVzdG6r/tUhHZsAAIZ2bOrovEREiZaO6XoMRtPgzdmbo56r55YYOXtoO8PXLhvZWXf70Z31K0y9aVrK3C1m7COiVGEjGKXb4Rof5m3ch71HItlwJwxsg5tP6Rm1ZqjCTT4Gq3p1dM8WmHfHyTixd0vH5yYiynYMRtNAm77dTs/oP88bbPia2zVF1cLp4+M+ExGRNd5rKBPc9PYCnPv8T9h5sDrmNb1Rum7aa+3kcChrWOj8xERESZDq3IIMRtNAu8aom2G6DVQJEnq2aoQND4/H97eMMdz//WtH4LejuwLQz2CpbGPiIyIiqi+WbQtOm6morIt5Ta8X1E3PKJdaI6JskY41wBmMpoF2WRezYbq3j++Dc49qH7P9tSuGRz0XQoSTIegZ1rkZ2jYpBqA/NC4gI+chIiKqD5RA8XAos22jokhex4aFsTkem5jUs1bXICKiWMymmwZ1gehwsMCkZ/TqUG+m1sD2TWK22a3w9OeMKuewdQoiovhx0iil2dYDVQAiwah6SkyTkujA85rRXXHj2B6OryHY7E9EZIi3yDSo80X3jOolSbCid4xVhRcwGYobYAIjIkoh3msoHT5ZuBWnPzkjZrqKEowW5EUq0tLi/KiRSX8d30e3t9QKe0aJKJtoc9skG4PRNFi2vSLqud1g9MVLhoUf6x1iVeGZDcVVKuBmJQUxrxEREaVDICCxZV9lQs7lD0j84e2FWLH9IOZu3B/12qHqUDCqGqkkhMDffzUo7utyxBERZQsu7VIPSCmxZV9V1Da7PQSn9G1leozX4jyRJEWx+w3p0AT3ntEPfztnoK2yEBERJZqUEpOXbkdtaATRc9PWYdSjU7Fu9+G4zjtz7R50++uk8PNtB6Lr4UjPqLtvYmYBJ3tGiYiMMRhNkXkb96H3nV9i96GamNfctpq+ceVwfPfHE8LP9eq7N68+Bnf+oi8A4JguzQEAY/vErmUmhMClIzujtMR5cgYiIjc4ZZS0flq/F9f+dz7+8fUqAMBjU4L/3/vZcmzaeyRq31pfALsP1WDtLutA9Ye1e6KeV9X5o54fqg5m0y3weuHGgrtOxfw7T9F9jbEoEZExJjBKkWemrkV1XQAz1+2Nec1omO5zFw01PeeoHi2inuu1vo7sVoaR3coAAAPal2LDw+M5V4uI0o53IdKjLLHy/crdOGtIu/D26at344EvVkRNV7n9oyV47+dyAMCSe05FoyLjxlTtEmpVtdHB6OHq2DmjistGdsagDqWm5TbLZs+eUSLKJlxnNEcpQ4BqVcmLxg9oDUC/ohrWqSlOH9DG0TXszD1lIEpERJlK+Q60auchvDB9fdRri7YciHquBKJApI41oq1ntT2jegmMFPec0Q9nDYldYs0uBqNElC3Scbtiz2iKKMkSakJrjD527kD8algHAMCybRUx+7v5ZWCSBCIiyjZSSkxfswejupfhiCqo/HD+1uj9TM5RUxcweRXQrqCm7Rn9ZsUuAPrBaLxYNxMRGau3PaM1Pj/+9P6i8Bpj1XV+fLVsByoq61DnN6/U4rpuqDW2KD8yL0Wv1VS4GMTGXk8iyiba5TWofvp2xS5c+vIcvPTDelRqgkQ1s1+XTxZuQ+87vwwP89XS1o9VdX4s33YwZj+zdb/dYt1MRNkk1TVzve0Z/XHtHrw7rxz7jtThqQsGo+9dU8KvnTO0Pf5xXnzp3B//ejWe/HYNfvjziWjftCS8Xaloiy2CUSKiXMbbHin2Hgkm9nto0kqUNTRbXsz4K9Lj36wGAJz17I/47pYxMa9r69nKWn/UUN0Crwe1/kBSglEiomzhpjMsXvX2rqu0sPoDAazeGZ2J77NF2+I6966D1Xjy2zUAghkA1Sqqgq226p7RZg1iK99T+7WK2UZERJRr1F9+9hyuNdxPqbcDAYkP55fr7rN+zxHd7drGj+o6PxoWRtrja0MjopIxTJeIiIzV255RfyBYq63dfRj7j0RXfnot9hVVdfhhzR6MH9DadMjN0q0V+MW/fgg/H9AuOgPfwXAwGqnwGhVF/xgW3X0qGhfV2x8NERHVA9sOVLkaDjZz3V7c/O4iR8doh+RW1fp1p+QwGCUiSq16e9dVMudt2VeFy1+dG/WaXuX40BcrcN2b87G4PDbZkJq2wtNWdnM27gMQ3TNamOdBE9X6nqXF+YYB75heLdCuSbFpGYiIsgFnjNZvIx/5Dsc98p3t/ZV6URnWCwD5XushZYdrfPhUM+Kpsi42GPV6hK2s9EREuSzV+RzqVTAqpcR787agxufHoWrjNPDaH8KOimq8M28LAKDGZ57cqFZTuSnDchWb9lYCiO4ZFUJg4V2nWr8BAK9ePhw/3naSrX2JiDIVv/LXH9srqvDUt2sMv+BIm80SSpyoPo06/4IRbeZcAKiu9cMXiL4u54sSUb3HpV2Sa8qynbj1/cXYuPcIivKMKzBtfXnsw9+GH1u1mvo1ldvBqjps2VcZfl6c70VVnR+FJtcnIiLKFbd9sATTVu/G+t2H8cT5Q2Jef3POFlvnUQYMqevZonwvDuo0Lnf9yxcISGDDw+NjguCWjQoxZ+O+qGVkAHu9rERElFg51Qy4ZV8l7vh4CXwGS7NUVAXnhu4+VIOD1frp3wHzoWOTl25H37smx8wzVWhj1YqquqhU9Ur2vuICBqNERJT7DoRGCH28UD854KItB2ydZ+fBGjw8aQUCquDSqC5V4tUaXyBqRNMDZ/bHrkPBYb5Pf7c26pgCNhITEaVcTgWjf3h7Af47azOWauZt7jpYjbW7Dod7PN+dV44XZ2wwPE/AZKz0izM2oLLWj3FPTtd9XXvkwWqfbm9qkc7QouYNCjC8SzPDaxMR5RIuM1o/1OpMbzGbk3RsV+N68N/T10fVs2ajnADgprcXYtSjU8PPf3Nsp/DjfZXRjcqFSU5epE1WSESUibjOaBzmbz4AAHhr9mZUVNXhhJ4tAADHPPwtpAQeOXuArfOo60ijZV52HqzR3V5TF13pHqnx6WbsK9Kp9H6+8xRb5SMiynZmWckptxzSGYlU5zf+utO6cRHuPaMf7v50me7r6kC2SNMzqg34Ji/bYXid9bujl4FJZibdT68/jskHiSjjpaNmzqmeUcU787bg0pfnhJ8r9ZaTSH/qyl1Yvu0gbnhrge1jAgGJByetiNpWpZOxL88jkMdECUREVA+oE/kpmez1GmkVBXmemPwLan/+YEn4cXF+dF3aprQoKk+DHUqPaDITGA1s3wTNGxYm7fxERNmqXkdEZrmILn91Lvap5oW2KS3S3c/nD4SXc6msi83Yt2lvZUwmP70hukRERLmotDiydNnz369DICDhM+kZLcjzmE6XUdPWp7W+AM55bqaj8inzTrnGKBFR6uXUnVebCW/trkNRz//y4ZKo5yO6NTc93xTV8J7WBsFo99u/xPinZuCF6eswL7SGKAAM7xyZ83L7x0ujjinKz6mPnYjIFbtLelB269+2NPz46alr8b/Zm1AXMO4ZzfN40L6pvSGt2mSCtb5AOEGRkQkD20Q9V5aHYTZdIiKkfNJoTkVF2jko8zbuN92/VaMi3PPLvoavvzFrU/hxiU7GvhpfpMfzoUkrcdkrc8PP3712RLg1eO2uw1HHcVkXIqrv+LW//tD2cm7ZX2XaMwoAp/Vrbevci8orop5vq6i2POaxcwdGPVeGDLNnlIjqu3Tkc8ipO+/gDk2inhfle00z9kkAFvVhmN5ckns/W256zBXHddE9B5d1ISKi+iIggYaFkcRCxfleHKjSXx4NCK4jmswvRNoG4T2Hg2Xh0i5ERKmXU8FogdeDY7s2w8fXHQcAuOmdhfiXZh0xNV9Ams4bVTusWRy7UWEe3plrvlD3jWO7Rz1XhudymC4REdUXUsqoLLfFBV5c8p85hvvbnS8KAMM6NXVcHq9HQIl11UEyR+kSEaV+aZeciookJDxCoGuLBuFt//x6teH+gYC0PRRormbI76Ean2m2PyDY1d2iUSR73sHqYEBrtS4aEVF9wHVG64eAlFF1YYMCr+m8TifB6CPnDMSVx3ex3lEjPzRS6dyj2oe32R0pRUSUq7i0S5wCEhACKLGZrdYXCKBtk2I0a1CQtDI11lnkmsvrEVG9x/tgvRGsmwWePH8wAGDGmj3m+4dyG3VqXmJ57u4tG+L6E7tb7gcAU28ZE36sTJspyPPgvon9APBXkogoHXIqGJVSQsD+Gp5Kz2arxsFMuZeO6GS47+c3HI8zBrV1XKZGRcEkRur5o7VJbn5tnsTgmoiIyImADE6JOb57GQDgq+U7LfcHgPd+OwLv/naE5fmbNijAjD+diF+pejm1mpTko0tZZNRUXmhMbp5HhNcZZUMxEVHq5VYwCmeViTLK9pXLjsb9Z/bHvRP744SeLXT37d+uFE9dMASf33A8Zt52ku4+/3dyz5htyjyZBoVenNq3FYDg2qTJsuiuUzH9Tycm7fxEREROSAl4hEC+zWy1St3csnERhndpho2PTMAxXZqZHtOhWQmuHt1V97XXrhiOhXedGrUtzxMsS57XE05oxFiUiAimyV+TIXYMaRZThgLZNbZPSwDBNUQvPrZT6BzmP4D+7UpRXefXfa20OA+vXH408j2RCleZl1JSkIdfDeuAr5bvtJxrGo/SknzrnYiIMgDnjNYPSs+oXlZ6PXrrz9r5VckzyEiot10pSoE30jPqYdcoEdVz6bgN5lQwChnJjjukYxMs2HwgZpeT+7TCE+cPRnWdX3c4q16g+MyFQ6OeF2pad1+8ZBiueWMeTu7bCu2bRs9xUSq3hoVeNCgMtr76khiMEhFlA8F+qHojIINLtWjrTiOD2jeJ2WanpT7fINjV+3Kl1M15Xg88oS8OjEWJiFIvp4bpBmRkmM2rlw8Pb3/814MAAK0bF+HFS45Cw8I8lDUs1O1FnTCwjeU29XGrHhiHU/q2woaHJ8QEogDCwXFJQR4aFbLXkoiI6peADNaFViOXHjprAL65+QRcopO/QS8Wfe2K4VHP81Rrs/z74qMwomtzAIBPJ0+DEozmez2qczMaJSJKtZzqGVWWdgGA0uJI4Dd+QBuM6FqGBoVey8rwwuEdce5R7dHrjsmm+31+w/GYtnp3zOLZRooLvCjk+qJERFTPBAISeTq9okM7NsF81QimC4/paHwOnWhUm+MhTzVF5vjuZXhz9mYAwcz5Wsqu+V4R7nVlzygRUerXGc2pYDQQ0K9MCvO8aF1qL2gMDiXyYuMjE1BZa7yWaP92pejfrtTyfAVKlj5EFtfu26axrbIQERFlu+Cc0djKWT2stn3TYotzWF8nX9UzWpjnCQ8LrvXFBqNeVc9ok5LglJ1+bVk3E1H9lo42udwKRkPzUhQ3n9IT8zfvd32+koL4P56rRnXF2l2HMaxzM7RoVIi3rj4WgzpYB7FERLmMvVD1R0AiPC9TbfaGffjloLbYdbAaz/3mKItzWEej6mXd8rwenDG4Lb5avhM9WjWK2Tc8Z9QjMKJbc/z3ymMwoltzy2sQEVFi2Yq2hBDjADwJwAvgJSnlI5rXRej18QAqAVwmpZyf4LJa8gVkVMvojWN7pLoIMQZ3aILJN40OP2dlR0RE9YlUJRe86eQeeOKbNeHX/nXBEFvn6N26ERaXV4Sf62XmbViYhwkD2mB/ZS0A4BcD2+K0fq11Exut33MkVLbg8+N7lNkqBxFRrkt1pnvLSYxCCC+AZwCcDqAvgAuEEH01u50OoEfo3zUAnktwOW3x+QNRc0aIiIgovQIy0hN5k8563HbcN7E/Xr38aADAqB5lWHLvqbr7PXPRULx59bHh50YZdhXlB6pclYeIiBLDTuQ2HMBaKeV6KWUtgLcBTNTsMxHA6zJoFoAmQojYtLQJVlXrx0cLyvHJwq34dNE2bNxbicpa/TVAiYgoc1TW+rD1QBU+XrAVWxkQuCKEGCeEWCWEWCuEuE3ndSGEeCr0+mIhxFC98yRbQNUzCgBtSosAAL851jhhkVZRvhdjerXEe9eOwAsXD7OdPNBI79bBobtXj+oS13mIiHKJVaLXZLAzTLcdgC2q5+UAjrGxTzsA29U7CSGuQbDnFB072q+EjFRU1eH/3lkUte2bFTvjPi8RESXXpCU7AAA3vbMQz/9mKNo1MU9gQ9FUo5ZOQbDOnSuE+FRKuVy1m3rU0jEIjlrS1t9JF5DRX3BevuxofL9qN649oavjcx3duVlCyvTB70biQFUdGhVxyTUionSyE4zqhcja0cR29oGU8gUALwDAsGHD4h6RXNawAFNvGYOAlJAS+GLxdozqyXkfRETZ4rs/noBWjYvSXYxsFB61BABCCGXUkjoYDY9aAjBLCNFECNFGSrk99nTJIzU9o33aNEafNGeVb1CYhwaFOZXDkYgobgIwXEkkWezcicsBdFA9bw9gm4t9Ei7P60GXsgbh5384Of0Ji4iIyL6uLRqmuwjZKmGjlhJt18FqXP7qXHiEgEcAK3ccQtcWDawPJCKitGpVWoStB6pw0j++xwMT+2Nk9+R38tkJRucC6CGE6AJgK4DzAVyo2edTANeHWmaPAVCR6pZXIiLKHv+98his3HEw3cXIZgkbtZToKTRCCLRuXASJ4HzRE3q2wLlHtY/7vERElFznDeuA3YdqUFXrR8Oi1IwesbyKlNInhLgewBQEl3Z5WUq5TAhxbej15wFMQnBZl7UILu1yefKKTERE2e74HmVcTiM+CRu1lOgpNC0aFeI/lx0d72mIiCjFupQ1wN9/NSil17QV8kopJyEYcKq3Pa96LAFcl9iiERERkQGOWiIioqzH2ftERERZhqOWiIgoFzAYJSIiykIctURERNnOk+4CEBERERERUf3DYJSIiIiIiIhSjsEoERERERERpRyDUSIiIiIiIko5BqNERERERESUcgxGiYiIiIiIKOUYjBIREREREVHKMRglIiIiIiKilGMwSkRERERERCnHYJSIiIiIiIhSTkgp03NhIXYD2JSg05UB2JOgc6Uay5562VpugGVPF5Y9PZyWvZOUskWyClMfsG4OY9lTL1vLDbDs6cKyp0dC6+a0BaOJJISYJ6Uclu5yuMGyp162lhtg2dOFZU+PbC47ZffPj2VPvWwtN8CypwvLnh6JLjuH6RIREREREVHKMRglIiIiIiKilMuVYPSFdBcgDix76mVruQGWPV1Y9vTI5rJTdv/8WPbUy9ZyAyx7urDs6ZHQsufEnFEiIiIiIiLKLrnSM0pERERERERZJCODUSFEkRBijhBikRBimRDi3tD2e4QQW4UQC0P/xquO+YsQYq0QYpUQ4jTV9qOEEEtCrz0lhBApKL9XCLFACPF56HkzIcTXQog1of+bZmK5DcqeFZ956LobQ9ddKISYF9qW8Z+9Qbmz4nMXQjQRQrwvhFgphFghhBiRDZ+5Sdkz/nMXQvRSlW+hEOKgEOKmbPjcTcqe8Z87sW5OV7kNyp4Vn3nouqybM6N+y/jP3KTsGf+5C9bN7ssupcy4fwAEgIahx/kAZgM4FsA9AG7R2b8vgEUACgF0AbAOgDf02hwAI0Ln/BLA6Sko/80A3gTweej5owBuCz2+DcDfMrHcBmXPis88dN2NAMo02zL+szcod1Z87gBeA3BV6HEBgCbZ8JmblD0rPndVubwAdgDolC2fu0HZs+pzr6//wLo5bb93OmXPis88dN2NYN2cCfVbxn/mJmXPis9dVS7WzQ7KnpE9ozLocOhpfuif2eTWiQDellLWSCk3AFgLYLgQog2AxlLKn2TwE3odwJlJLDqEEO0BTADwkqZ8r4Uev6YqQ8aU26TsRjKq7BblzPjP3oGMKbcQojGA0QD+AwBSylop5QFkwWduUnYjGVN2jbEA1kkpNyELPneTshvJ1LLXS6ybWTcnUFZ89g5kTLlZN2fE7wvrZgdlz8hgFAgPSVkIYBeAr6WUs0MvXS+EWCyEeFnV1d0OwBbV4eWhbe1Cj7Xbk+kJAH8CEFBtayWl3A4Aof9bhrZnUrkB/bIDmf+ZKySAr4QQPwshrglty4bPXq/cQOZ/7l0B7AbwiggOH3tJCNEA2fGZG5UdyPzPXe18AG+FHmfD566mLjuQXZ97vcW6mXWzC6ybY7cnE+vm9NcRrJujt5vK2GBUSumXUg4G0B7BaLs/gOcAdAMwGMB2AP8I7a43HlmabE8KIcQvAOySUv5s9xCdbSkvN2Ba9oz+zDWOk1IOBXA6gOuEEKNN9s2k8uuVOxs+9zwAQwE8J6UcAuAIgkNQjGRD2bPhcwcACCEKAJwB4D2rXXW2ZVrZs+Zzr+9YN+tuTxrWzQBYNzvFujmz6jfDXXW2ZVrZU/K5Z2wwqgh1z38PYJyUcmeoIgwAeBHA8NBu5QA6qA5rD2BbaHt7ne3JchyAM4QQGwG8DeAkIcR/AewMdV0j9P+uDCs3YFD2LPjMw6SU20L/7wLwEYJlzfjPXq/cWfK5lwMoV/WMvI9gJZLxnzkMyp4ln7vidADzpZQ7Q8+z4XNXRJU9yz53AuvmFJUbYN3Mutk51s0ZVL8hOz53RVrq5owMRoUQLYQQTUKPiwGcDGCl8sMMOQvA0tDjTwGcL4QoFEJ0AdADwJxQd/ghIcSxoWxOlwD4JFnlllL+RUrZXkrZGcFu7u+klL8Jle/S0G6XqsqQEeU2K3umf+YKIUQDIUQj5TGAU0NlzejP3qjc2fC5Syl3ANgihOgV2jQWwHJk+GduVvZs+NxVLkD0UJqM/9xVosqeZZ97vcW6mXWzU6ybM6d+Q4Z/5mZlz4bPXYV1s9OyyxRlZ3LyD8BAAAsALA698btC298AsCS0/VMAbVTH3I5gNqdVUGVuAjAsdI51AJ4GIFL0HsYgkvWuOYBvAawJ/d8sU8utU/as+MwRnGewKPRvGYDbs+GzNyl3tnzugwHMC5XzYwBNM/0ztyh7tnzuJQD2AihVbcuWz12v7Fnxudf3f2DdnNbfO7BuZt1sv/yDwbo5U+q3bPnc01Y3i9CBRERERERERCmTkcN0iYiIiIiIKLcxGCUiIiIiIqKUYzBKREREREREKcdglIiIiIiIiFKOwSgRERERERGlHINRIgBCiPZCiE+EEGuEEOuEEE8KIQoM9m0rhHjfxjknKWvyuSjPPUKIW3S29xJCfC+EWCiEWCGEeMHN+U2uO0YIMTKR5yQiIrJLCOEP1XHLhBCLhBA3CyGS9n1VCNFZCLHUes+oY14VQpyrs/1YIcRsVR19T8IKGjz/mUKIvok8J1G6MRilei+0MO+HAD6WUvYA0BNAQwAP6uybJ6XcJqWMqYS0pJTjpZQHElzcpwA8LqUcLKXsA+BfCT7/GAC6wagQIi/B1yIiItKqCtVx/QCcAmA8gLvTXCa7XgNwjZRyMID+AN5N8PnPBKAbjLKOpmzFYJQIOAlAtZTyFQCQUvoB/B+AK4QQJUKIy4QQ7wkhPgPwlboVNfT6u0KIxUKId0ItosNCr20UQpSF9l8hhHgx1NL7lRCiOLTP1UKIuaHW3w+EECUWZW0DoFx5IqVcEjrPZaGe3clCiFVCiHDFLYT4jRBiTqil9t9CCG9o+zghxPzQtb8VQnQGcC2A/wvtOyrU+vtPIcRUAH8TQgwXQswUQiwI/d8rET8AIiIiLSnlLgDXALheBHmFEI+F6s3FQojfKvsKIf4khFgSqtMeCW0bLISYFdr3IyFE09D2o0L7/QTgOtU5dM8fuvbTQojlQogvALQ0KHJLANtDZfdLKZeHjr9HCPGGEOI7ERyBdbXqmreqrnevavsloW2LQseOBHAGgMdCdXQ3ERwp9ZAQYhqAPwghfhn6HrJACPGNEKJVAn4MREnFVhQioB+An9UbpJQHhRCbAXQPbRoBYKCUcl8oaFP8HsB+KeVAIUR/AAsNrtEDwAVSyquFEO8COAfAfwF8KKV8EQCEEA8AuBLmvZ2PA/hOCDETwFcAXlH1vg5HsCW2EsDcUIV5BMCvARwnpawTQjwL4CIhxJcAXgQwWkq5QQjRLPTengdwWEr591CZrkSwp/hkKaVfCNE4dIxPCHEygIdC74WIiCjhpJTrRXCYbksAEwFUSCmPFkIUAvhRCPEVgN4I9hoeI6WsFEI0Cx3+OoAbpJTThBD3IdjDehOAV1TbH1Nd7kqD8w8B0AvAAACtACwH8LJOcR8HsEoI8T2AyQBek1JWh14bCOBYAA0ALAjV0f0R/H4wHIAA8KkQYjSAvQBuR7Du3qOqoz8F8LmU8n0AEEIAQBMp5Qmh500BHCullEKIqwD8CcAfHX7kRCnFYJQoWAFIi+1fSyn36exzPIAnAUBKuVQIsdjgGhuklAtDj38G0Dn0uH8oCG2C4NDgKWYFlVK+IoSYAmAcgpXyb4UQg1Rl3AsAQogPQ2XzATgKweAUAIoB7EKwQpwupdwQOq/ee1O8F+otBoBSAK8JIXog+Nnkm5WXiIgoAUTo/1MBDBSR+ZqlCAZzJyPYOFsJBOs0IUQpgoHatNC+rwF4T2f7GwBOtzj/aABvherCbUKI7/QKKaW8Twjxv9B5LgRwAYLTXwDgEyllFYCq0Gij4QjW06cCWBDap2HoeoMAvC+l3KO8H5PP5h3V4/YA3hFCtAFQAGCDyXFEGYHDdImAZQCGqTeEegA7AFgX2nTE4FhhsF2rRvXYj0hD0KsArpdSDgBwL4AiqxOF5qy+LKWciGCw2V95SbtrqHyvhebfDJZS9pJS3gPjAFyP+r3fD2CqlLI/gF/aKS8REZFbQoiuCNabuxCsu25Q1WldpJRfwVmdZrav0flh9/xSynVSyucAjAUwSAjR3OB4pY5+WHW97lLK/zh8P+o6+l8Ang59p/gtWEdTFmAwSgR8C6BECHEJEJwzAuAfAF5VWllN/ADgvNBxfREcwuNEIwDbhRD5AC6y2lkE53nmhx63BtAcwNbQy6cIIZqJ4HzUMwH8GHpv5wohWoaOaSaE6ATgJwAnCCG6KNtD5zgUKpORUtX1LrP7JomIiJwSQrQA8DyCAZZEcPTQ71T1YE8hRAMEp61cIUJ5F0LDWisA7BdCjAqd7mIA00JTWyqEEMeHtqvrXqPzTwdwfmhOaRsAJxqUd4IIDUNCsIfTD+BA6PlEIURRKDgdA2Bu6HpXCCEaho5vF6qvvwVwnhLIuqyjLzXZjyhjcJgu1XuhuRVnAXhWCHEngo00kwD81cbhzyI4bHUxgsNsFgOocHD5OwHMBrAJwBKYVzJAcDjPk0IIZQ7KrVLKHaG67wcEhxt1B/CmlHIeAAgh7kAw8ZIHQB2A66SUs4QQ1wD4MLR9F4JZCz8D8L4QYiKAG3Su/2jo/d4MQHeYEhERURyKhRALEZwG4kOwXvtn6LWXEJzmMj8U9O0GcKaUcrIQYjCAeUKIWkTq8EsBPB8KUtcDuDx0nssBvCyEqET09Bjd8wP4CMFkh0sArAYwDfouBvB46Lw+ABeF8i0AwBwAXwDoCOB+KeU2BIf89gHwU2ifwwB+I6VcJoR4EMA0IYQfwe8XlwF4G8CLQogbAehl9b8HwaHIWwHMAtDFoJxEGUMEG5qIyI1QL2q+lLJaCNENwdbMnlLK2hSX4zIAw6SU16fyukRERGROBNcbDScHJKII9owSxacEwNTQkB4B4HepDkSJiIiIiLIRe0aJiIiIiIgo5ZjAiIiIiIiIiFKOwSgRERERERGlHINRIiIiIiIiSjkGo0RERERERJRyDEaJiIiIiIgo5RiMEhERERERUcr9P94x6D+MNIXIAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1152x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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HKmuCS53FqqQwL6aM8IX5bhTkxRcaSABKZ6FRIsR09fmSnWg/YRJ+997PqNBM3amT78a+o9W46rW5wW0fLdyON37cjJdnbXQ8K25Job3Bq27Lw6WjY88oEemq8fgwSzPn87np69D1z1+FbdO2aipVgbpSeGv2Zhyv8RrO+YxWESpB7CeLduD0/7OWrCBetV4fBj88Lfj8jH/O1O29/CGwEPb01XsBIFihbDtQiTW7KyzfsJ+fsQHd/jIlLK1+NOUV1QCAJ79J3fAjIiKKzf2frYhYmzIWy3ccjqivCyxmlvf4ZHAKjRXXnthe5xy+mNaKLMp3oXHdQpQWxT6Lz+OVqobimE+TErcHGqk/W7wzoqF69a4KDHpoWsQxRsmm4hXtq4oyN7XG48PkZbvwyqyNMV9LO++XPaNEOeCUx2egzwNf2zrmialrcM3r84I9foB/zkWN1xfWAlqoadVUXlJXCvd/tgL/mLI6LHuaWrSKcIcqE21FjJnbrhja1tb+e45UYZ8qgUB5RXVwXufMteU4rMkU6Au+b/+DpdsP4+ynZgWXhbEj3dYcPXisBsdrvFi/twKeOFvQiYjImh/W7YuaiR0A7vxgMa55fV7YtuLCUEPxbe8swoqd/rrIp6mHvT5pq2f0gfN7oWlpYdg2j1fGtFakkpDnzB7NbB8burYvGKCp1yXPNOpRWQDwvsGQY731TJ3Qp1V9w9e+XLoTJz82A13//BXu/2w5fvPfRYbf56yoq2l84DqjRDlgy/5KyxlrFRsC63vu18lApx5WazTfQ1vhHaysMZyXYiVLbryutBGMtp8wSTdxg9KWt2nfMVz9+lxUVNUGA9RPFm1H1z9/hTW7w9c8Kz9abbusVluY4/3cjlZb+50Y8Pdv0OP+KTjjyVl4ZHJiKkIiIgp31WtzMerx76Lut3ZP5FqbJQWhL/xfLt0VnCri1dzza70+w7rZyN/G9dacQ6LKYrIjtaL8+MMCj08G6+HvVpdjY/lR7D5clXFJAa2ukZ4oZqO4lgVWKajx+hxZE72uZkgwh+kS5RCjlqyN5UcjevqUG7lerBIejOr/WevN3TBqff3UxqLTsbh+RAfbQ1v0gnChOsfS7YfR54GpwSVZ9lZUo8brw73/C1+rtCjPftKlWq8Pz3zrHxK9dPuhsPm3szfsDw5pUW7g+e7I9/bW7M1oP2FSRMCqzDN96MuV6P3Xry2n1Fd8vGi7rXm7A/42NeYFzomIcoG28RYIjZCJ1mv5zco9utvraBLSVFZ7celLszFt1d6w7R6vvZ5RIDJwOVpdG1NAEVyqJI7A0euTwcPX7KnAaU/MxLBHv8U7c7fGftIUsDqsOlHMfgVEDJH96F7NMWFMd93XIoNR9owS5QyjREGnPTET5zzzvemx6gpPXXHqBVtzN+6P6BGUMjJxQrJ0a1Zqe7L9xK8iewD17sfR7tGxDCuetHQXnvzGPyT6/Od+RKd7JwPwJ0ca/8oc/PWzFQBCa3Pptag+NmUNAP+i5S9+twGvfu+f37Ev8HN59YdNAPzzcO04fLwWQx7+1tK+a3ZX4GBlLSYttRfwEhHlklpfZN1odYSMMu8QCE8cqP3Cv/9YNeZtPoD7Pl0etv3AsZqY5nuqfb1iT8SyMFYojdnxrLNdqxqmS7Hz6vwOAsDq3UewdPsh2+cryHPhvH4tdV/TzhFmMEqUZapqvThp4nTdNaDM1tzcceg47v5oSXB+ivbWrmSHBUI9rFW13og06wBw2ctz8IsXZ0dsT1Uwmp8n0L5Ria1jFm87FLFNr7rTC1rj9fL3+okBKgOLU6/c5V+cWmlc0AtGg63qHh/+MWU1Hpq0CkDkcBjld+Lw8Vq0nzApGLQ6YczTsxw7FxFRttIGg6t3H0HXv3xlsLffu/O24ro35oU1iHpUAYV2cJJRwFnr9TmyHncsI2CUntF4YkmPT2LbQf1lbDLJxn3HUnp9o/aI0U99HzGf1dr5ZESiIoW2oSTaigpOYzBKlGAby49hx6HjeDgQfKhFmx/4wYLt+Ium1bSyxoO1eyrCAjGl4jIbBqPtEZQI9eQlW77bhYI8Fy4b1Cau89wX6JFMtPV7I+f/AKGgc9mOwzhcWYunA2u85rkFZq0tR/sJk7Bl/zHsPVKFY4H5O+oESp8v2Rlc/1ShfAkY+dgMAMBDk1ZhzxFnls/JtMyGRESpUKmav+/zyYjG3Lkb90fU3/d8sgwz1oQ3OnsCEUW1x4vPllgb9XI8hl4pp5Lsaaf5dGtWavsclTVey+uhav1mVCc0KimI6dhPbz0ppuOM7IshvwQAfHPHSEeurzdUfHMcAbI0CUZLi/LDnrNnlCjLmGWTsxIcKJWMEqTc+cESnPXPWWFJD5TWVztrevmkjHsoUKzyXP5bjyvD70DqocZ3frAYszf6WytX764IZlKcu+kAFqhSxF/35vzg49vf/RlHq8KDUaWyOHw8NGd47DPfR6x5Fq+5G+23rKqlW4ZhIiI71u+tQPsJkzB9tX/Ki/rL/5BHvsXrP24G4L+HaxtzL3t5juGUCo+qXlUe//ObdVi+44ilcu0/an1tazPdmxsHkv3bNNDdHuwZDTz/1Yj2hucY07t5jCUzVpjnhivG9TLdaTI0WDs3OFZen0R5RTXW7qkIbtsURzDq84W+ewHAH87sGnyszaYbT2beWGT4V0Gi9OcxCfgembwquFaU4uet4WtbGR2trji9Pomftx7UTW5kZNLSXSkbpluQp1Qa6VF5OOHb1aEkFOrPtdbrw4cGKeEB4IiFIHPf0Rr0eWAqNpTr99DG4rXAHNVY3Pu/ZThp4nTHykJElGzPfLseAPDFEv8ceu0X8Ecn+0czGeU3UO7HUsqwniR18qFanw/LdxzGwi0HIo43YqVOAIAbRnTAm9cN9pdB5/XVuyt0tvr987L+utsLlTmjqoSJeuuYAkCL+nUsldOOPJ3kf9G8ce1gTLtzpGPZers2qxvX8U5l4d1/rBqDH56Gs/45K7ikn50OBy2flHCrPt/+bRsEH2uH6Sa7rZnBKFGCKT1ketnPPlq4HTe+tSD4/Kf1+3DhCz+F7SOlvwVX26qqnlPyzco9uPCFn/Dw5MihwGbsZOw7p49zraDBntEMjkWfmhY5N1fPhwu2RwzdCn89PFAtKTRebPyPHy7BoUpnWs2t9srP3hA5HO2duVux83Bo6PCr32/EiH8wOCWi9Ld69xH86s35+HyJP2u80njo0SSMUYJTo2BUef2deVvR/b4p+vt4Jc599gfM33xQ93U9VgOBMX2aY1S3ppbPq2Y4XLPQP1xTncDogfN76e6biPrbbmJDAOjQuASdm9ofTmzE7POfdPuIqMcbvQftGvDRqJcHuuSl2ZBSxhUk+jTDdNU9yXU0SwIme31YBqNECaYMtzQa1nhENRzzC50spz4pccaTs7BDs9C2uhVXPaTTqkYlBTigs1yKkReuHGj7GkaUlsNMzrj31LR1KK+IPqdEL/GS2u4j4ef4bPFOw2y3P289hGGP6mfO7fqXr/DZ4tCwMa9P4oP52+AxaHCwMsz240U7MP6VOfh0sflcp4cmrcL2g9EXgiciSrUJHy/DdNVIFqW3ye7QxFqvD09MXYM//2+54T6xzL2z3vsVqj/tBCnXj+iA1g0jezWn/P7kiCGmZqeNJXCMxihINhNLOQa3b2j7GADo1bI++rWuj7vO7oYRnRvr7pPvcuHdG4dFbP/hT6cFH5/cRf9YM3M2HsBvoiSl+r9f9DN8zSfDP1/1cOhi7dBi9owSZY91e4yHyShqAxVgRVUt3p1nfR0udYX17PT1tsvWqG5sSQKcoKzDmcGxKADgylfnxn0OvSQF/zTpdTVaO67G48Ojk0OZhN+fvw13f7wUt76zCDsOHQ8ukh28roVvL7sP+wNMpYV2+8HKiAQK6uFnnEdKROlOG7sEg1GbORSkjF73jvq/72ydUzmvXW3KzIfMntqtCQB/kp/7zu2pO1Kre/N6wcdm65orYp3bacbtErbfv1IOO98n/nqefm+vFZ/dNgK3ntrZsPcwzy0wvFOjiO1NSguDj/80ujt++NOptq47/pU5UadWFej0vg7v6C+LT8pg4P7rUZ3Cgvhi7TBdWyWLn/F4MCKK25n/jFxKQ/uFXeldM0qlbXRjjjf5UCwLYr9zw1BcYSMA69Oqvu5aZ9nQM+oU7dAwwDh7bzTqYdfKsjNfr9iDGWvKIyoxO50AAsDBYzUY8Y8Z4efwSXyp6sX1+mRMc36IiJJF25Om1LFGo0iMaJdfEcKZuXZWe2jV1WevlvVN9x0/pC3euG6I5TK4LQR4iRimG1PPaKCQ0dZG7dC4xDAB0APn9UStV+LhyavibiS3UgcKkZjvPwLAi1eegNd+2BRMnHjzKR0xe+N+eH0SQghsnjgWALBQlVixiaZzItkNy+wZJUqS2kBFZ7R+mFFPVTwT1s0c02QHtCJaSTo2Dl879MFx+q2PeVnSM+oEJ5PWqT9OdaWu15pq5fdKKZvbJfD41DURr2vnHCc7Ax8RkV3aoEW5axnfv6zVzUV5zmRR1Wug1GOn+rQ7lPWus7vhiqFtceGAVob7JCKYcseQYl85JFoQeG7fFoavXXtSB/Rq5e8ZFhB49KI+Ua9rVIXmBwpUYJLIyCVE2Of3/d2nBkeMxaNuYR7G9GmBt64PNTwo19GWV/md6Nu6PjaUp3ZNVQajRAnymWaenVLReQ3uYEY3tkQ1UFXWxLKWmfnrN43sGPa8YbH+UGDlJh2tJTMXxJOqXWv/sRp4vD4cOFYTdQiV2c/yWLUH7SdMwpPf+IcLPzt9ve5w4hqvL2y7EpyqjyUiSifa4ZVSSny0cHtYRnQ1o+G72ltiLL16eg5VOruMF2B/SG2D4gI8cmEfFOUbB9h6Q33j5Q8o7X3pUXpGuzStG7FOqpq68UCvMVZJMOSVEuOHtI16XaM6VPmsv/jtCNx/bk/9fYQIW9quTVmxI1l4h3QoC55ffS0g8j2rf3rn92sZfFxc4E56Nl0O0yVKkEWqIRBAqEIz6hk1apVNVFYzo6DYjJ2yPH/FCeig6SlVhIbp2i4CRdH5z18BADo10f/sFRVVtfhg/jaM6t4ETUuLwl7TG1qt972jxuPDRlUw7fHK4PCeZ75dhztV65gREaUDbVXrk/5M5UaM6srlmvukdi3SRDMKBt+/aRgue3lO2DazNTjr18mPKQliItb1tBrQv339EFz92rzAMcpyNAK3nNIJT01bp3uMTwIvXz0Q7RqV4LhOYinle4nSwHrRCa1wqLIW1wxvh2vfmB+xfzTdmpeiW/NSnNevJY5rGv9dOsN0nRgFp2TjV5872vxfKcMz/dpvDogfg1GiBNFWFEo2XKMJ6EbzVXarltBwlI27zQtXnmBpP/VbHmsyJCbVw3SvHNoWP67fh837K6PvnKGiDbtZsv0wlmxfii5N6+KbO0+Jer6PFm6P2PbE1DX4ft2+4PNar0+3sWX2hv3IdwsMal9moeRERIlx4FhN2Fw5wDwI+Gn9PsNATa/RzmmXDmqNDxZE3ntLC/PQq2U9nSPC149UmA3T/e6Po1BRZT+QTsbSLuf3axlcgketbVlxqByqDkWzeC7PJXBWL/8SdXpLpCnBqNL48OSl/U3Lqm2cP7dvC93ESOrERaEyi4hg1KijIhZWhmUHg1TIsMRHQthPIhUvBqNEDjtSVYtik6EtRomKjBISpUPAdE4ff2AZ7QYlJfD6tYMietq0gsN0UxSNOrUodTZYp0mW1H7CJN399H4/3523DT1b1MPKXUcC+/h0exHGv+JvpVcSJxARpcKCzQcitpnVa3d9tDRiWbVkeetXQzCic2PdYPTz346wVI81q1eIQe3LMLCd/lImI7s2QcOSAjQssZ9dPxHZdPNcrrCfxzPjB6CiqhatGtbBf+aEVhtQB3LqwKtHC/0AHQhfw7tBcQE2TxwbVt8Fg1GLQaH29+apy/ojz+J3C5cQET3LXZuVYsXOIwZH2KN8JL1a1gt+PnqZdgGlZzT0ndXfM5rcaJTBKJHD+j4wFRf0b4n6dfIjXvv1fxbioE6LXLXHazlpgUs4k/QmlpuNlSNO694s6j7KTTFVS4G4XSLpw1CyVcOS0O95rVfC4q8xEVHSSClx6b9m604dWbHTuIczlctV1SlwGwZ8ZkNk1bkYeraoh+ev0B/ZtO7hMXElIUpEW7Jej94b1w3BvE0HwoJRNfV7GN27ue4+vx7VCdee2N702gWaYbpq3999akSCJO1edpJEuQQgNLHh29cPxTtzt+D/psafb0EIgY9/PRydmtRFaVE+bj6lI351UoewfZSgO88lgt/JOjYuQfnR6qT3jLJ7gCgBPl28U7dH86vluzFnY2TL7D2fLLO8xplT9wirAe2Tl4YWUS5TJST6/u7INbKsVE5CIBioWylDv9bmKetj4VSiCQL2HKkOPq71+rDjUOj3vtrjxU8b9ukdRkSUNB6fxPzNB3V7GfcdjWwgVsSSW0GhTgoTC7NA0WrSWbNz5LtdtrPsqiVzzqj2Uuog3cp7+NPo7qbJmIDQ9CG9n3mbsmK0qG++lqudkV7abLoAUFZSgIHtnJvKMrBdGRoUF8DtErhnTA80qxc+Yk0Z7aT8Hrx6zSC8d9OwlKSVZDBK5CB1K+rMteWWj5u1dl9EMgTja9guli6rQ1HUw3f6qALDNmXFKC2yP7hi06NjgzdtZa7OX8b2MMyCd0aP6D2tdqXDWpj92zQwff1Fi/N0nfDJou04fLwW2w/aHxKuXhP1yPFanPFkaG3dv32xEle8ElqXdmN5bOunEhHFI9Z60+OVOK1705iO1ZvraIdZjGUWZKpfSuRUGL0ymC2f8vq1gwxfU3ol3RbrZvVeTgXFSlBrtaH+0Yv6YHSv5vjoluG4/fQutq7lX2c0cnvrhuYBr5Na1PcHp2f18n/HOqNnMzStZz7FKlEYjBI5yOwm1r5RseFrVbVeTPhkWQJKlFjxrjPWqoH/xtu8fhFW/32M/jUS0IsZy1pmTotW343pY1ypO+3OD5bg3k+WYcQ/ZsR1nktemh32fNWu8Pkvpz0xM67zExHZJaXUzZ6qqGfSqFrr9aG3QaIgM4V5LtQtjG8mnFn9atYbqH4lkWkZ9OpmozJ3bloXp3VvZhhgK9OG8gym0KgbE9761ZDwpUsc+o4QXALFYjTaqUldvHT1QAxqX2Y7c7xezyjgb+Sfe+/pweeN60YmP3JKm7JiLLrvTNx4cviSfP4ERskdp5v6b2REWcLnk5i0bJfh62bDfWoNMummOzsVnd7wm+tO6oDXfjkIY00Cr0RUprEM0/3refrrhcXM5Pfhy9+OcPZaFtjpybdKr/c9lXOwiCj3vDtvG/o9ONXw9frFkfkdFB6fjClHQ50CN54dP8D+gSqmAafFKiyRM1L0zm1UrgGBkUDKR5mvnX8ZeCHakNvB7RtiZNcmCfleUFzgH8ZrlOzJSW6dbLoK9XDaF69K7AipspKCiN5zIZK/tAuDUSKH/GfuFtz+7s+Gr5sldjFaY9SKWIbK2uHUPf/7P52Kz249KWyb2yVweo9mpkOJ4u191RPLMN0RnRvjzJ7ODRk2a5zo3cr5ebLRHE3AGnlLtkcOPf9pw37Hr5OrhBCjhRBrhBDrhRATdF6vL4T4QgixRAixQghxXSrKSZRKXy03biQGAK9JvgaPV8a0/mNxvhv1dJIY2mFW9ekNTX3xyhPwzPgBYfWpSOAMQL3A0ehqSj2ufJSndG0S9rryCee5XHjtl5HDebWNmFa+FkRLWKRVUpiHr353Mp6+PL5GBCuMhulqNYohy3G8BJybDmYVg1Eih0RL/26WLdfrk2GLDtvx3k3DYjrOKjvBoN6SLuOHtMEjF/ZBi/p10C/KPEk9iUqSYPdm6/Rw4VqPxLs3mv/slGHM2eTKV+dG34miEkK4ATwPYAyAngDGCyG03fe3AlgppewHYBSAJ4QQyf92Q5RC0XrbakxGJtX6fDH1jP7+jK7BeZCx0pb76cv7Bx/r1ctj+rSISJqUyBkpeo3IRg3LSjnev2kYLhvUBs9dcQKm3Tky+LoyisbtEhjQNrJnUvkRKMG1lSDbbP6qkR4t6qFOgXmiIye4hLCUeKkkzqHesRBCJH1pFwajRA6JFtxEG4l75dB2MV3XqTUzje6LZrGg8tLYPi3w1q+G4FSdRA+PXtQXVwxtG3O5EjNM1/5n5hbC0eCw1uvD8E6NTPeZ/LuT0blp3YjtL1890LFypMLMteV448dNqS5GphsCYL2UcqOUsgbAewDGafaRAEqF/xtiXQAHADjfBU6UxqI1aJpl05UytqkFlw5uE7Xu+s2oTmHP+2hGxGgDzjG9Q8GVWeNo+JzRRCYwsr6vUo6hHRvhH5f0RVG+G52bluKVawaFTUtRptCc1LkRbju1s86JrF87RcuYW+ISwtLPplm9Ivzn+qH6n0WCsGeUKINFy06772i16ev16sTWAhbvMiWPXtQHL11lHNxY6Rl1uQRGaobdOCVdhum6XQITxnTHHWfYS1SgNv0Pp+CjW4YDCLXGT71jJMoMhuLUr5OPljoBcO9W9TGqW2I+72T45evz8OAXK1NdjEzXCsA21fPtgW1qzwHoAWAngGUAfielzMwJ6pSRKms8aD9hEt6avTllZYgnIGtctyCmYboAoh53gyZxzBe/HRHW+Kit+9RVvdX5pImMx/TqZqPr1Xr0bztn9mymOy3lvzcMwx/P7hZ8rv0orf1M0zcajfa1rU1ZqN4f0aVxxPfDZ8YPwJvXDU5E0VKCwSiRQ6wulaKnQ+OSmIYCAfH3jLZvVILRvZsb3tzN7pnKMYmt8EKPtUkPtEb30l/wWiuWtdVcLoGifDcuHqj9vm9dxyZ10SCQLEPJ2Ne1WSm6NSs1PEavpHlu+8OMKevo/WpofyvOBrAYQEsA/QE8J4SISA0qhLhJCLFACLGgvNz5RFaUu/YHeh3/NXNjCksR+81yULuymOvmaN8J9Hps1VuUamry7Sfjb+N6hdXRVqswpxpzXYE5jv+5fmhwm275Da5n9TOMtq6rcnanekYfv6QvHr+kb/QdHab0bF80oBX+/ashEa9/dusITL795OBz7cdyfr+WGNUttiWHomECI6IU8Xh9Ued8RhOt59NMv9b1Yx4XUW3Q4miVclM3HIqUgsZF9Rqb6sAxWmuo1TXK8mMcpgsArRsWW14LbFz/yEXPlcYDdaX78IW9DQNpvbdcryg/qeuRUVraDqCN6nlr+HtA1a4D8In0Ww9gE4Du2hNJKV+WUg6SUg5q0iRze9wp/aRDo9m2A8Z1e4fGJabHbtp3DNNW7Ynpus0D6zh2bRY51QLQn8+pDh6Vuq9ny3q4Znj7sADMfJ1RdZ1pp8TGVjw4GiseHI0RXRqbntvoetHK0SXQI2w0z1Y7h9HKnFErb/0Xg9rgF4PaRN/RYcrP78nL+kckcwL8WW572lxSqIFJVmh7kt/YzWCUct76vUdxzyfLcNLE6SiviD2g/HKpecY+M58u3olnpq+P6dhWDerAJYB2JuuYmomWmEcvKZFCOdLpkbTqNTbttAbnW2wudrusTdC/YUSH0LVVd8uLT2ht6Tp6a48Fg1FVG0LHwHplevTeUVG+G/ed6/BSMynAZV7iMh9AFyFEh0BSossBfK7ZZyuA0wFACNEMQDcAqeyiohxTG0jcF8/IoXjUeHxYs6fC8PVo2ejX7KnAlv2VMV27Rf06WHTfmbjttC66r+tmozUJOMPrQmt1nVM9o3UK3BGJfewM0412q3/+yhNw0Qmt0L258SihsOtYiF4SOV82XrFOr7rx5A7Y+Mg5Edufuqw/Pr/VmSXh/B8bExgROc7rk/AYZBA648mZ+HDhdgDA4eO1ySyWI+oUuLHx0bG432Jw0rNFeGubck/Uu3H/6+qBugl0tJI9L+WcPvq9iHkWhyxbnTN648jQnB53DK3Net+/lGt7zdb6UTGqUIvy9TP+Tbyoj7XCpYFELCeTK6SUHgC3AfgawCoAH0gpVwghbhFC3BLY7e8AThRCLAPwLYA/SSn3pabElIuUIESbsdbnk0lpjIq2hne8OReiKSspMLyGS4hgMKxu+Ay+blI2q1NNEhmPRQum7ejarBRPXto/ah2unN/qjNHpfzglbLhrurDbSKB8l3AJEfZ78dAFvfHGtYNxwYBWaBtjh4RWKhIYJT9nMFGCTFu5B4Pbl4UtYP3hgm3o2KQu7vpwCTbuO4bNE8eaniPB9VJCWb25Tbp9BM577gcs33EEQCjY0ftioA1cAWDevacH10VNRsOjnZ9JtCHLg9o1xIItB5Hnclm62aovrc7Aa/Wz1vsipAxDsrq2rN3fyUQkfNJTmOeKe4j4u/O24qaRnaLvSLqklJMBTNZse0n1eCeAs5JdLqIQ/32uutYbtrXjvZMxuldzwxEhTomWRMhqA2Y8jO7hLiFQJ9+NiioPLjwhMheB2b0/Wr0ghD+gSOQ6o+qgyO0S8Pqk4fXiXipEc7iVek4I/6ijdGS3EUTpTNE2AFw1LLZVGMwovzvJxJ5RSnvr9x7F23O2mO5zvMaLG95agMtenh22/a6PluLiF3/Cxn3HLF0rWV/knXLvOaHpX1bXwRRChM3LMJ97Ermtab2iiAyvCU0fb+OmXV3r1V0wW6HcX623KquGRanulmaH335aKAV7pyZ1cdWw8GVtlGv7LA9bs/fZ2p1nEqu6Max/VpQfXuVU1zKxK1E2M7vNTVmxO6XXBxLfMwoY14/+6SJ+Sj3ctF5oWozVeaFmEvn21OeOd03VaCLWGbWSwCids+na/MEo+TCKk7AGaio+NwajlPbGPfcD7vt0uek+nsCQx9W7jeeG6Fm45UDY80QFo9GSJMRK3atkdG+bfPvJEcFXXlgw6v9Xr3KL/nkI1f8TQ68MRq12LiFweo9mKMwzv7XlG2SjfUuT1U59aauJlNSJidwugYcuCB82q8wZbVxaGHHsvHtPx/w/n2FYBiv00uQ7LdahwNqhxQVRfk5ElNmU26FyV/zHlNX4YP42w/2dL4D5y8npGTUaphv6fJR9nrqsf9TjrEhUPgc1dfmUe3mt0fQTh3ralEta7RnNFted2AE3n9IR14/oGH1nB8Tdk20TvwlQ2jtW4x/eYza/RPvK/qPVqKgyn/+5fm8FLn4xvCc1UTevlg2KInqFnGZ0c25dViciGFUvkaIcp3y+J6uy5aVDT7G66EqLndHQK+0NVJucQnmP2s/j418Px48TTkOJprdPvZf6szD7XKINvy3Kd+P/ftEP79w4LOK1pvWK0EQnSDVy48mR84ySoW/rBjFVVdpGAivzkYkocyn3ZOWW/eJ3G3D3x0stHXv9m/Px4YJt2FtRFfP1ow3TtZr0Lh5G8a6/UdNfPqUY6jWnnShaIutw9bmVBFVG9Ve8oU3kOqNxnjBFjPJdRFOnwI17xvSISCKVCKn4bBmMUsYwy8anvlEt3nYIAx+ahpGPzTA934FjziUrihb4uoRIeGBndHq3iBx0oS6L9rgnLu2n2s/iNRP41vTel9H3C2WKZr065inO8zQ59Qe2K0OrBnXCrvXODUN10+wDwNCOZYbn9nqjV7uXDGyNVg2sLc1iNpz3z2N7Bn9Glw1qYzkTYbx6tqwXU/KRwrzwivT6fy9wqkhElIaU28TxWi8260yX+XnrQczesD9sm9cn8dCXK/Ht6r2466OlGPLwtzFdu9rjxf5jNab7mCWzc7v07/92WRlSq7dPPL22wTXAE/i9Q33qxy7pi05NSnDHGV3xWALW7VQaNUIJjKK/r3RoTNd65vIBWPYAp/FrMRiljOGTwLYD+inW1V+Mr3ltLgDgYKX9YDNaK6ruMT6J85/70XQfkYRg1HgokIgI6NQVq3KcEvOEzf2IUmRlKZyN5dbm5MZCr9Ixjs/8L3x483A8cF5Pw4yzRl9AlK09W9TDiZ0bhw/TVT05oW1Dw/JGW7TbrmjnU1596MLemPL7kWGv3XV2N/TRGbZ75dC2EdvsimWlBg7LJcot6tvXL9+YF/H6hS/8hPGvzAnbNnvDfrz6wybNeezfcG749wKc8eRM033MAr68sHrS9uVVxxofHBqmG/latOkmZpIxTFd96jG9m+PbP4xCUb4bl6rW7fy/X/gbt53KnKx8H7Dy80jDWBR5bhdKi5xaDzRxmMCIyMCsteU4+bEZ+GKJdl135/5wYvmC/fDkVdgUJUGSSyR+GQujlluXC2geSIqgtFiaDTnNs5jcSG2dyTpuiWEwTDewuX3jElx7UmgI65/P6YH3bhoWPCrPJdCxSeQ83lBrcvhzwHrCAacTOfx9XG+c16+l4et1AgG33s/qpM6N8eJVJ0Rsv2lk+LyTWHpUjZZKMhPt74SIsot66oTV9To9OvMOay2MONH6fl30VYzcJnVcvupeHk8Po9k1tAmM1JyoS5KxQsDIrk1MkjT5/433K5oykmh4p0YArPY2x3nRHJWKj83Sb7oQYrQQYo0QYr0QYoLO6/WFEF8IIZYIIVYIIa5zvqiU61bv9i9FsnDLwYjX1D2aR6piD/pi6Rl930IyhmT8cZulj1f0aF4vYpv2OL35pNE4NRTopatOwDPjB0Tdz6jRwOjnN65/Swzr2CgYrAoh8NwVJ+CcPs3x9vWhpEXazyKWt3V+f3/gOLCdce+pHW3KivHs+AEY0LaB7uuf3noSJozprkmw5P/XJYwWJg/f9kgMCYn6G5QHCJ93rJaqhe+JyHlen0RljXl9G0tDsd59XC9AdYJZsOZ2rGfU+DWlx1DvPm0346qaneGs8TK7glPX79ikLn6ccBp+fYo/aaOlntE0zqZL4aIGo0IIN4DnAYwB0BPAeCFET81utwJYKaXsB2AUgCeEEAUgctD/TV0LQH/txli+4uoNG4llKIl2MW89ZkGdUy2Xhi2TOvNDw5ICaY7LD1tP0+K1re0W1ejeLXC+SS+gwmgh82g/vdBblahfJx8vXDkQJ3dpEnpd807svq/NE8eiV8v6WP330Xj/psgERfF487ohutu7NivFLaeEr9WplNvqXOVYWuBfukp/fcCuzeri3wZlJaLsccf7i9Hz/q9RVevF41+vRpVmLdFY6cWdsfSMWmF2f1QH2naXQAt/PXW9eMnoGbVSdidGr7VqUCcYoLNnNLtY+QYyBMB6KeVGKWUNgPcAjNPsIwGUCv9vR10ABwAkdkwi5SyPTqUUS4+mHqsjD6WUwcC1xhP9ILMbp1Op5Y0qSyFUa3QFdmkWtpaZ/9+rA4snC5NANdWU4uj9DtgR7dfFTvp4PUX5bseXDKgfJSmTHiH0v4xo31YsczlLi/Jxs2a4L+DvLTFq0T+9e1Pb1yGi9PR5YMrMmz9txvMzNuA1zTxPwLmeUevrMttjVsepA2Dz3j9zZsmPgsN0HY4aQ+txprhnNIVfIdLr20tmSfYYJivfQFoBUI9D3B7YpvYcgB4AdgJYBuB3UkquZk4JodsT6dBfjoTE4cpazFpbbrrfaz9sQod7JuOwxSRJZjdkpxbdNjqNujJSKqh7z+mhOs6/7W/jemHjI+eE75+md/MGxeGB2ctX+3vptN9herTwD0tWgq3+bRoAMEs/H36CdH3/VrldwtKXHO2SNlbdfnqXiG1mXz7blBXHdB0iSl/Vtf46Wa9nNJb1CvWCUbtnsTrKyWr1a94zan4S82G69sphWTDvgcPnVV/CRsbeVEzQyPT6O1VS0QlhJRjVK5X29+psAIsBtATQH8BzQoh6EScS4iYhxAIhxILycvMv+5SdpJT4esVuw2GWsZ4zlgymekdICdz8nwW45vV5poHme4F5ovGsf6aorHFmaJOVXjxlBK56rSqXqkLRBi7pkBpdXYTGdf1B5BVD2+KJX4SWoFFanrU/0+evGID3bxqGBsX+WQP3jOmBSbePQLtGkcmLwq6ptCpbaFv927heUfdxypOX9rOUNl+dFEPvZ9i6YR1ce2L74PMGdfLxzR0j8afR3W2VR+/cZqMU9JJGEVFm8wbG1er96cfWM6p3Hnsn+lwn0aEevXuYbk+mSVWgfemT35wY/nrgGg2L81HXoOHPal175dC2eO6K6HkV7J43FnbO7FQ2XXtS//2FrLESjG4H0Eb1vDX8PaBq1wH4RPqtB7AJQMS3Ginly1LKQVLKQU2aNNG+TDnguzXluPnthXj223Uxn0N7c739vcUY/uh02+fRbX2VwNo9RwGYJ0xQjl2921oW2eQkMLIwh0KnJGaHWZ4zmoQ32KasTjCjnksIXDywdfA1JYjWVnilRfkY2rFR8HlBngu9WkYudaKIZWHtAW2cSVRkxUUntA5Lmx+Ny3CYrsAD54eCaLdLoEuz0rDkVVbofT7aL5IPXdAbgD9jb0lBbD2wRJS+npm+HoB+L2hMy6U50DO649BxS/u5dL4F24xFw+6DXZrWjVj6Szmf2+WKOLdSZ1m98z58YR+c2zd6XoVQ3gCLJ45BcPpP4i4RlzRoSyeLrASj8wF0EUJ0CCQluhzA55p9tgI4HQCEEM0AdAOw0cmCUnZQFqDeftBaRaFHOxVPb6kXS/RaXyGDFaFXSjz+9WrsP1oduV/g2EVbIzP7WuV0JaFXqSrMhgKZDeNMh55RRftGJcHKRftdxelyhpZ2sb6vmTn3nI6fJpwWX6FiIISIGHJTVhKZWy7Ysxz4XK8f0QGr/jbawvlDj/8e6CFWMuaO698Sj17UJ+yLmdkC80SU2XR7RmM4j17PqN2g1momVb0hicq2pqrpHGb1pBAiOFJHrz4wnTMqo+8Tj0QOuQwG0jqXWHz/mVh8/5lJKYcR1jaxS7t1RqWUHgC3AfgawCoAH0gpVwghbhFC3BLY7e8AThRCLAPwLYA/SSmjL/BEOSeWm4P2HuYSAre9swjjnv8xrrLoDwUK/REu2HwQz8/YgPs+W66zn38nq4lf7FZQsbDUM6oXjGbIHdsfWPkfxzIPyQrtWZ1KDd+8fhFaBnp1k8k/TDf0fN6fT8d3d42K2E/JuKx84XO7hKXPWP07N7hDGYDQ38bTlw/A+CFtw37n5m06YPctEFESeH0SL83cgOMOTRtRxDRMV7dytncOq7GPbgNtYJt6PWbTOaMAerasF3gcuV9oKgxwzfD2AIDlD54NIPye6yQ7DaqxMkvv1KC4IDg9JlXSLQEjGbM0ZkpKORnAZM22l1SPdwI4y9miUTazWq/sraiK7AVzCXy5dFdM1/WpMn0atbQq248G1is9Vh1ZOSt1ZWEcGVP9FZRzQZVpkgQoLZjGFaX+OWNvXXaagL/H7sf1+4OJiUZ1a4LKam+wKnSqNc/OEKd0ru+064w2LS3S3y/wRk/t3hSPfrUaY/u0QGGeW3ff8POHzp0X6Jo3SnopZeQ6o0aJpIgouf738w5M/Go1Dh6rwT2qBHd26P/pp2aYrtXbstk6zFbXGRUiVPfo1QehNT+BP5zVFXee2VX1PQQR13JCsDwJ7B80e8/pIE2LRTqcXXuASGPayj3YUH40+NzopvXvnzZj+KPfhm3bfrASQx7+NmLfeO7Z6kRHRsGosrk2MGdU73o+aRzc6Vm87VDEtniy6NbJd2PanaeEbbM2Z1TnXAXGQYfVCjIZGfsA4LTuzbB54thgIqM3rxuCD24ZnrAe00xvWbW6zqiia7NSbJ44Fv3aNIDbJbB54ljTvzf1a8p8U+3flfLc5RIRw3S7Ny+1XDYiSpzjgUy4FdWxr8rnFgI3/HsBLnzBP2rphe/W4+IXZ1s6Vt0bajRq6ZVZG3HSRGv5Iaze9nYfjkxCqBwbvjyXWc+o+UgSdT2qTRSYqJ7R6sCSc+q1Up1nb75rsmV49Z1TGIxSQt3w1gKc/sTMiO3aRDN//XwFdmkqhW0H9OeVHjke+81V3TNjlPlPqRyU9UP1KonQHExrd7s9RyLnnSoV0o0nd7B0DgCYdPsIAEDTeoXo3LRu+PlUZSktsp6xr16R8fqVlhMYWdstLmYftdL66/Q8B0s9o2lbFfs/s3grZLPl/dTBuvLFLSIYDeQBcwkg3+G1V4nIGU7cxVwugWmr9uDnrYcAAI9NWWP52LCGYp2bjk9KPDx5FXYcOg6PhWz8VuvmqSv3GL6Wr6oADhyLrMND11L3EpoP09XSC0YX338mltzvzGDDw8etLT8Xi/TvGU3TgmWARE2FMsJvBpRU0W5a6kroyW/0KzKrKdv1eH3mPaMSMtQz6lV6Rv2FfvX7jWg/YVLYWmrxNGYq5+3S1HrvULFJNlLlfEX5LhQb9HbarTTSqWfQrCROFVPbSGLl/QsBDO/YCA2LjYP6VHEJYdri3qFx9KVWnh0/AIB/SPRdZ3fDp7eepLtfvmbYmUL9ZeuqYe2sFJuI0oSUEv+Zs8XSmtrxjPbxeKPVzSHVHh9enrXBsNfvwLEaLN9xOOayFOX76093WA+m8f7ha3lHUk6jm80+sE0dPDcoLkD9NKxPjKRr0JdGX18ySio+N+bZp7RS7fEFh43qDW2Nl7r1VTt/DQgkMApUe7Xe8BbLf83yJ4g+crw2GLR8sHBbzGVR/uDNsvRFli8w5FE3A6D/X7fOa4meP5KUOaNWFtZ2qjHPxvsRAnj3pmEOXdgZ6p57sx6CT359YtQlEM7r1xKjezc3DWw7NSkJ9oxq/67aB9Z0vWlkRzSrpz9nlYjSg/YeumzHYfzl0+WYtbYcL18zyPTYeIaaqgPQaOuMfrFkJx6ZvBp7j1TjL+f2jNj3N/9diDkbrSVLKy5wh631/djFffHY16sB2JimonqstzyW6T34Nyfiq+W74grkzSQyK2oqVg6l7MSeUUoJo5vYg1+sCD5ORIDjtdD66tP2jAYqCaWyqPXJ4D5GQ4mtUCooO3WQ2bpeSjnVFd/QQIZTRSa2FFopsrJPvENLsq1ydbnMf78alhSgdyvjdVcV+W6X4RezT35zIj665cSIjLyK+sX52DxxLM7t2zLsC9eAtg2ivwEicpzPJzH6qVmYpEoEaFQ3PPOtfw1RZVk2M84Fo/oNxYqKQHLBozrzW70+aTkQBULrIAep3oKdnAk9W9TDDSM64LkrToh43WyYbu9W9XHX2d0T1qCbyDot7Yfppmm5MkK6Le1C5KRoPXM/rA+tCGTlPvLVMntZdcN7RiNfl1IGW2CVYHTh5oN44bv1wQpw7Z6KmBby1ioKLAtjpwI3u2xwYW23wItXDcSY3s3xzo3Doh7nhJTf85UERnG+z1APsp1Lp/zdG3LprDPqtBPaNkTDkgIIC7UJ54wSpV6N14fVuyvwu/d+1nk1/CY6bZV/TqV2CoPT1L2hetdSb/L4jNe3nPjVKlvXdSKb/M2ndILLJfCXc3uiTVlxzOfJFEoCQaXxN13fXzpNM8okHKZLOcOoXlOvcWal7vv1fxfZuq56CKHXoGdUGZ77wzp/YLz7SFVYIobnpq/XHeIbTeO6hdh31J8E4bJBbbBo60EAdm+YxtGS0jPlFgIntG2IF68aaLuMsUpsNt3Av2b7OBwQ2nk/6VzfJfNLQmlhHm4e2RHn929pUp7Q4zT+2IhygkdVj0W7h1qp8p78Zm3wca2FJENqMtowXagbkv3n1qs7Jy/bbeu6QgAt6xdhZyCBovqMVhuKf3WSeRJCK3VYJpl0+whs2Hs01Fuepm8sTYtFOthMTUlxrNqDGo8v6hd3deV4Zs9mjpcjLIGRwZxRxZLt+gkQKmu8loYsaTWuG1oAun3jEtM5nkbaNSrByK5N8MQv+hnuozcH1eMzzgycKax8TPG33ds/Qzp/osksmxAC95zTA71aGg/7FULgqmFt8c6NQ5NYMiKKl5WeUSUDPQCMevw7W+f3+mSwfjbK56BQGoz17m+xNBQbHWF9nW1r10lFT10ierSb1SvCiZ0bW6otlTwB/ds0cLwcQKiXVk+69thSJAajlBS9/vo1fvGv0HpjRjcx9fDXIZr5jk64+rW5mPjVakgpdSuti1/8Keo5Yrm5335aZ8PX7MSH+W4X3vrVEAxo2zDiNaWnVy8RgjI80ijLbjorK/EH8e0aGWd+DdY5DtW72VKF2UmOlSwPXdAHJ3ZqnOpiEOUss2kmRi/VesNfUI9i0hMtMZrWwIem4Zynv/eXQa9cqsdK3a0EG1W1XmwMrGeuN+LJjFmA6FTjbaLWErUioQmMpHGjgGJYx0b4/LaT8KuT2jt+/Wl3noJv7hhp+Dpj0dglO38Gg1FKmiVWsuOq/gKstHCe0aOprTJsKD+Gl2ZuQId7JqP8qPG6YXpO6+6/1iUDW9s6DjCv8JwKGLQVtNrb1w/Fved0R4PiUO/ss+MH4OnL+zty7USGb4PaleH1awfhT6O7G+6jvOd45/LGcng6V3jKl592jYrx4Pm9UlwaIkoHeve5qMuuqQ56/YdN6HH/FNP9LxrQyna51uypCJRPr2c0tK1WM9Ln1/9ZiNOemIm9R6p0RzyZ0b5tf10dmPJi8Ruy1RFfKRmZlMBLKh0GVwxta7pf39YNEtIr3LlpXTQsKTB8PY2r5rSWijwYnDNKaUVdjUyykJwonhvc1gOVtvavV+T/cynIs9+Go1dMvfXF4lFa5F+X7OxezSNe69C4BDeN7BS27bx+xnP77Er0nNHTupsP2Vaun5psuOlb5SlDwGfedWqKS6Iv0Ym1iCiS2Z+d0d+kunH4b1+ujHqNwnxn+zrUMaZX00s7Y005AGDilNVhU32sMKu7rNbN0abaKKOVmpYaDylNlETWTi3q18HmiWMTeIU4pW/VTBoMRikljIa6+qTEO3O3YkiHMizccjChZbDbgqrsHsucFC11Mgarra/XDG9n+nr9OvmY/+czgsNas0Uy6xOloUHdgxxNOveMutJ47AszHRKlhrr+PfPJmRjTpwVa1jdfA9gnJT79eQcGW5w+E09Dk/6xoY0eg1FA1bW+uOtn9RktB6NRejzbNSrBxIv6JCQPRjS5fJ9N50z3FI7BKCWVcmPceqAS363Zi9/8d1HYXMDKGi/u/d8y6+eLoyx2W1CVYUoOxKJholUWQvgr5z+c2S3quZqkoOU10axUpn1a1cfQDmW4T2cBdDv6tKqPB87riXH97Q8xS0d56RyNElFKqOuwdXuPYt236/DoRX1Mj/H4JH7//mI0r2cetIauEXtFqbdetPp0XoOlXao9sQWjRkXVy7+gx0oddfkQ86Gs5LwcjsPjluilnLQYjFJMlmw7hDoFbnRtVhrT8Uu3H8a1b8wHAKzadSTmcsRzs7FbaSl/m3Z7VIHIFjoBYTmbrksIf1KGNL6xJrJoVs5dlO/G+zcPj/9aQuDaKGn6I46J+6qJk4b5i4go1WL4nlkbyJS7+0iVtUvE+F222uPVPXb66r3Bx0pD8pdLd+JoYP1v5Vi7CYzMpGMCOLsy/x3ELpffezxSEcSz2ZxiMu75H3HWP2fZPs7p3/F4hmHE2jPqZGUHRB8K5E7thEhLkrHOaLpKx2FQ/QJp9NOxbESUWno9j9o7xQOfr8Cr328MPq+xuW5orLkQuv1lCg5W1kZsf/Sr1cHHyjqje45U4/0F24KJdEb3bh62vEy8og2/zYSl0nK5CmD9lznYM0oJk4xu/p827Iv5WPtzRmXYv06JNpIyFIsmLxod1rEMo7rZy1ScKKxQ7Hv7+iHYZjNBFxHlBrMqTKln3vxpc9j2fUftra0dz21792HzZWG0DcnK9JSivNiWLlPXrepym8Wa/7p6ILo1K8XaQAbgdJXLtWcuv/d4Jbvvg8EoJYxerGdUQQ3rWIY5Gw/YvsYR1RAdu6xk61VT3s/h45GtttHEk7FPeT2ZQ/jfu8nekNdcThSQju+8XlE+erWsn+piRJXMBhYi8tNrUHW6ze+9+dtiPla7pqmW0RQbJxqKhQh9FtHq5vaNS9C+sfH61+kglxtzc/itxyUVHxuH6VLC6PWMbt53THdfp5MCJYLyfv41c2OUPSOZ/XGrK7yRXZtEHpv+o3Rz+qafy+89HvzYiJw35OFpuPq1uab7pHNdAgD7oqwB/tnineEbAm8o1ljUqDFVPQx3/JC2+P7uU3FS50aBYyjd5XIjeaZhMEoJoxdg/t/Utbr7JjtzVyycDJjVAYx2aZdNj54TtmB4o7rZtVRLtmGFR0TpYm9FNb5fZz59xXSYbhpUxXM32R8lBVjvGe3Zoh7O6eNfj1tAGI7QUDcUCwG0KStGnfzMGlCY07VTTr/5zJJZf1WUUewMwcuEntFamwkczOSrIlDtMBohRPCTe/LSfhjUrgxTV+5O6/VDec8nIsoMeo2/2dCoZvV7hNXRLPoJijLgy4pa5v9YY8ZRS7FLdqMUg1FKiBv+vQBdmtW1vL/TSYESwRNlHosZ7U2xwB3aoDcvRfk8XEKgbaNi3HByx5ivnQycl0JElP5+3nrQNGj7cOF2bDKYTpPurH6PMLtnd2tWL/jYLFtuptR52dDIEKvcfefxScXvNoNRSohpq/Zg2qo9lvePZe3OZFsZw3qoHRuXYKNOxT60YyO8M8+f4EH9Zy+DGXv9zzOkvkuIl646AR8s2J7qYlACZUAbFFFWufCFn/RfUNU1C7YcTE5hHKKMwrI63UdAhN17lMev/XIQerYMBaN6DcW8Z2WOTGkwIM4ZpTSRAbFoTFl0z+7dPGLbOzcMRddmpcHnevdLpVLN5Zvp6N4t8Pq1g1NdDADAmT2bGb6Wwz+iuPBzI0p/HdM8WywQChBjGaarftygOD9sP9OeUauFo5ThzyhzsGeU4iKldCRgyoRhunZ1b64OONW1X/h+eq2vLeoXAQAaaipHSr7NE8emughERClRlB/b2p3JFApGrfaMap4bfIVxqxMYKdsCASob09Iff0ax4zqjlFE+XLAdlw5uAwC46a0FmLpyD64e1s72eTKhZ9QpVuZw/PHsbujfpiFGdG6chBLFL5dv+rnce01E2cHoLpYJDcVezfSWqFT3bCnVQ2+F6v/69dpDF/RGi/pFOEVnGbZ0lMtrOefyfNl4pOJTYzBKcVm1OzSPcupK/xzRt+dssX2eTFjaxS6jIEW7WW+3wjw3xvZtkYBSkdNY3RFRujtp4nR0tZFUUJEJVbOSc8L6nFGD7ZoX9IbpNq1XhAfH9bZTPEoRthNnDs4Zpbi88eNmbCg/Gvd5Vu+ucKA06UUgvCJnD1p24o+ViNLdjkPHMWNNue3jMqtn1H42XSFCQxK1t3K9KTSZhr2DlAkYjJJllTUe/O2LlThe4w3b/sqsjSkqUXqLqPCUpESa/TKgro8qC+psSoFs+N0nSndPTl0TdR+jv8V1e+NvbE40b6BntKLKE9d5Itf8jut0lGLZ0JiQKskerchglCx7edZGvP7jJrz+46aUXL9x3YKUXDceevM1lApPqtYSzXS53Pqay+89HvzciJLjmenro+6TCT2gRg4cqwEAPGvhfQKRo5bU27XuPae7/zXerjIOf2YxSsHnxmCULKv1+gAAW/dX2j52SIeyuK8//Y+jgo/rFqb/dOfwBLpCd7vy/PFL+iapVOQ0VnhElOn2VlSnuggxW7HT3hrgVvM5AECdDMgmbCa3ExhRpmAwSpYpmereX7DN9rH5bnu3hetOah+xrV5RaJkTu+c7oW0DW/s74ahmyJC2AvSpekab1StKWrkSIZcDshx+60SUJZ78Zm1KrtunVf2kX1MYPNaSMvlLXJBzmKcjdsn+vWcwSpYZjeL538878PwM8+Ex+W57v2rRhvC9cs0gW+frnYIKb/P+St2/aOWdKcG9ybraREREaS2egLJfm8TXzY3rFoY9N4pRlO8deq9n6rSCTC23E3L3nccnFZ8bg1GyzGhCc7XHh8e/Nk+QkOey/qv2t3G9DAO0Pq3qY0zv5hjU3t6w31TPy9QmMwJCPaPZ0HqX+e8gDjn95uOTy0PIiBLpiyU7LSUhGenAeplWqrACgwbpZNXN7RoVBx8LiLB7j/Ix6RUlg6fS5rws+GqVMxiMkmXx3ZOtHz2oXVnE+l5PX94fAPDFb0fgxasGxlWSZNJ/10oCI/+zbOgZzYaAOla53PIcF35sRAnz23d/xqRlu6LuZ3PGiy71KZobTDmZducpUY9NHImZd52KUd38gfe8zQfM95bqx0qjccIKl1C53OCXy99LMg2DUbJMWVg6FtNW7bW8b55bRNxExvVvZelYJfNdqjx1WX80LM6P2K53S/TpZNPN1FbYXL7ls74jonS0xUKyQbs9k6d3bxqx7RRV76rhEFjD7cm7gS7fcVjn+vqPFaHpNLzRUw5J8ndRBqNkWbJ+N11CxPwFP9YhR+OHtIntghoXDGiFNmWh4UB6w6SU9/bQBb3RrVkpWjao48i1iYiI7LAbDGpHLQHA78/oiltP7QTAftCWHkGesga4vyx9WzcAABTmuXQbjYmyWSp6lBmMkmXJ6rVzu0Rw6KpLAL1b1bN8bKwVhs8X02GWyxC+zIvfyV2a4Os7RqIgz6W7H2UG/siIKB1ZmTM6bdWeuK/jcglcPaw9AKBZvULdfYzqtmRMUwl9DKGLeX2RQaby8OnL++PjX5+IhiUFGT+dhtNIKBOk/2KNlDaStSh2nksEb6C/P6Mrbj+9i+VjY73t5uc5d8PWazlWM2t1ytRhurlc33FeChGlUo3Hh9+//zMWbz0Utt3p+uSqYW2x94j+eqTN6xfhiV/0wyndmmDQQ9MiXje6T7qSGOWpi1BV62+BLsp3Q1uBlRTmYWC7hgAAr9IzmqHRaC7PGaXMwZ5RSoqOjUss7+tS9YzarUxjDQxO7dYUd4/uFtOxWuo6S11+s5JlejyT4cWPSy6/93hlbOMLURp5bMpqTF62GzsPV4Vtf+KbtRj8cGRgGKtfj+ocUVflqSq8iwe2jlhGRWF0n0zG/VO5zaivdePIjgCAvq3rB/fQnzPKYbqUe5LdiMFglCyLp2f07tHWEwu5hQjWCnavGWt94RICvxnVObaDdc6lOK9fSwD+YFevQlS4A8eoh+wSZTN+tYufEGK0EGKNEGK9EGKCwT6jhBCLhRArhBAzk11GSrwtB4wTFZVX6PdkAsCz4wfYuk6eTu/gkr+eZenYdEhgpL7UKV2bYPPEsWhQXBB6XeeudF7fligtzMOlg1ono4hEKZeKupnDdMmyWIPRJy/th0IbQZbLFepdtHvFmFsvHfzrU5ehX5sG2DxxbPildK41rGMj/GZUJ1x3UgfnCkJJwQZzSgUhhBvA8wDOBLAdwHwhxOdSypWqfRoAeAHAaCnlViFEZCpUynhGa3hGUyffbWt/t0sEhrWGlBRa+xppVDenw/3TbJ3RNmXFWPbg2cktEFGOYTcMWRZrx2i+22Wrxy/P5Qq2UFpJwKBmt15r3bBOTMeZliHKyfRaX10ugbtHd0eTUv0hTukul+dNMkEEpcgQAOullBullDUA3gMwTrPPFQA+kVJuBQAppfU1tihjRMtTYEQI4LenWR8RlOcStgPY4LVsbndScK3QKFfLxjs56yfKBAxGybJYB+m6hLAVjLpFPHNG7e1fWpQfOM65G3bUYDQL64YsfEvW5fSbpxRqBWCb6vn2wDa1rgAaCiG+E0IsFEJck7TSUdoTAraWFnO7ROyJfGI87KIB1tYYt1SEHKybmcCIYpHsfA4MRsmyWH85hfD3jlrlcoUqBbtDg+0O0xWaf820rF+EPq3qx1yGLKzniOLCr0lx0bulaD/SPAADAYwFcDaA+4QQXSNOJMRNQogFQogF5eXlzpeU0pKAsNWrmudyBRuKz+nTHI9e1Ed3v2uGt9O9lp5o94DC/Pi/pprlayCicKlolGEwSpbZHTKrcIlQgh4r8lyuYE9lsr6sRive6r+Pxoy7RqGq1pucAmWYbGxRtiqX33s8+LnFbTuANqrnrQHs1NlnipTymJRyH4BZAPppTySlfFlKOUhKOahJkyYJKzAlRqz1pBD6SYmMuF0iWJcPbl+G8UPa6pdHp0Cx/707OWop2rl4UyJKBQajZFns2XQFXDZ+0+LqGY117kyUSqgo343CPDfW7T0avQwGFR57gbITv75QiswH0EUI0UEIUQDgcgCfa/b5DMDJQog8IUQxgKEAViW5nJSmhLDbMxoapuv1JTafg6JL07oxHmlfNjaQcc4oxYLDdCltxTNM106F5xYidAO1O2fU3u6h4xy8X2djhRZNLld4uZy8iVJHSukBcBuAr+EPMD+QUq4QQtwihLglsM8qAFMALAUwD8CrUsrlqSozpRcB/0gkq/xrgCvJBY3305unaPc+2bxeEQCgV8t6mPfn020dG1GeKN8jsnkYL+eMkl2p+D7HpV3Isi37jdcyi8bOMF23SwQDOrPbaJ5LwKNpnbU9ZzSwu6PZdG1uzwaMx4iST0o5GcBkzbaXNM8fB/B4MstFmcElBOyuCqM0LHsTnOk+eJwQaFpaFOPR2nNFvxYRJR97RsmyeZsPxHSclNLW8FkRlk3XuML73elddI61XbzAgeFPfzm8Hd64bnBsp2KFllP40yaiTCSE/QZcZX+zYbpOzhl1ojoNLu0Sddk1IkoF9oxSwvlkLFluRfBYI3ovxVzhaaqhB8f1ju1EYIWWa9j2EAeOICNKGQH7a5RaaSjWrZtt1ozK8NJYV5LRE3WdUd7LiQAkf3g3e0Yp4XxS2hqmC4QqBdvrjNqs8ILDdB2dM8oajSiaXJ5nTJQWhP2kf0rDss38RXG00vI+EQ/eZ8mutF3aRQgxWgixRgixXggxwWCfUUKIxUKIFUKImc4WkzKZT9r/5RbBCs/mvJTkrsftaBkoM7GyJ6JUin3ZNWF/mG6M2XRj7eGMVrz+bRpEPUcwQVHUYbrZdy/PxQRG0+4cieevOCHVxSAbogajQgg3gOcBjAHQE8B4IURPzT4NALwA4HwpZS8Av3C+qJSppJS6lcB7Nw0zPCbWisusYn1m/AB8eMtwPHJh5ELdTvZmOjmsiNIfGx+IKBNJaS+5IBDa36yhWH/OaGxTdfSOatWgTvCxlWA0dE59VueUUmbo3LQUY/u2SHUxyAYrPaNDAKyXUm6UUtYAeA/AOM0+VwD4REq5FQCklHudLSYl0h3vL8Y7c7cm7Pw+KXUrIrP7/tg+LdCqQR1cM7ydrWuZnfP8fi0xuH0ZrhjaVrV/oMJL4ryUbJTsNamIiCg+Hp/PduOpkn3XqXVGo9Ud2u8O7980DJ/eelLw+R/O6hr94lL/XESkLx3XGW0FYJvq+fbANrWuABoKIb4TQiwUQlyjdyIhxE1CiAVCiAXl5eWxlZgc97+fd+De/y3TfU1KiZU7jwAIb420Q0r93kKXS6C00J9Da+Zdo8Jea1qvCD9OOA0dmxgveK33x2JnyNF5/VoGHxsd9f3dp+K/Nwy1fE4isi4Xh5AROS3WvyKPV7+h2IywNGdUb53R0OMXrjwBv9RpaP7+7lMjj9M8H9qxEZqUFgafFxdYz8MZ7Z0yViVKDSt/xXp/nto7TR6AgQBOB1AHwGwhxBwp5dqwg6R8GcDLADBo0CB+C8kAEz5ehvcXbMObMS5zAgTmjOr8GgkAX94+Amt2V6Bdo5I4Sqk5qYreWqQAsOLBs1GY58KFL/zkP8ygEmpTVow2ZcW2imC0hjgruuzEn2ts+LkROeOHdftiOq7W60OdAretY64Y0hZzNu7Hr0a0N9xHd5iuqnI+p08LbN5/zL+v6utkaVHkV9Jo9wlbPbsG+4bmlPKmRJQKVnpGtwNoo3reGsBOnX2mSCmPSSn3AZgFoJ8zRaRUen+Bv1N8xc4jMSdJ8EmpW2EIIdCuUQnO6tU8niJqzhl6vHniWNx7Tg/d/UoK85AXttq3/UrIqN5ihZZb7CYAISJy0uHjtTEdJ2JIYNSwpABvXz8UTUuLbF5L81yvgVp3Ok+05Viil9/qNxfeyYlSw0owOh9AFyFEByFEAYDLAXyu2eczACcLIfKEEMUAhgJY5WxRKZVqPD7dG3rjugVRj813C9308fF+h3dyiJ+zc0Ypl/DnTUSZyCX0677LB7fBBzcPx+2ndca0O0+xfd5Y55vpN1pHP27zxLHo1bJe1P14ryayJtlDV6MO05VSeoQQtwH4GoAbwOtSyhVCiFsCr78kpVwlhJgCYCkAH4BXpZTLE1lwis/2g5WoqvWic9NSS/vP3rBft4IpzIs+xKdHi3poXLcwYns69SjFUhIBe3+wTPKTndgTTkSZqEeLeth56HjE9ssGt8GAtg0xpEOZY9cyu01OvWMk6tfJD/tOYH85OCv7ROtltXdNomyUiu80lmZ+SyknA5is2faS5vnjAB53rmiUSCP+MQOAv0XRinmbD6BpaWRAme82/6W9oH9LdG/ub7Ec3rERZm/cH3wtGb/uXZr5EyD1blVf93Wld9XJwDidguxkyeVENLn30yaiTPe3cb3QskEdbN53LOK1eL+M6tUHZsNtuzbzN4ofr/GGzhHMgGvtmurz18l343it+lyBpVtsnIOIksd6GjLKeXrhxs7DVabHtG9snJgoGUHbyV2a4Ns/nIKOBuWwW+GFHWuw3Xguqf1rUPrjzzV2HC1AlBpdAqOiOjeLzFifiLWytQFqo8AUnyaqUVN691Kr3xPUuxXkucKCUbPzA/F9DyDKRsmumxmM5rhuf/nK8r56v5w1Hp/h/gPbNQxb01PLqRv/7ad3wYC2DfDCjPWoq5PmvZPJ8jDBsrBFNC65/PlxmG5s+LERxW7K8t3o2KQk2Ktox/d3nxrMEt+0tAgdG5dgo6qH1Mn7+aWDWmPL/koUuMNTlFxyQmsU5rlwbt/QEmt6gaflnlELO+YZpbpXzmHtUkRZLRV/BwxGc4yUMmx9sGqDYFJvQWu72XQ//vWJpq/HncBIVZxTuzXFqd2axnyuWMpid85oNsvlYbpERMl2y38WAgA2PXoOmtcrwu4j5qOU1LTLlWnv3k7Wzaf3aIazdTLmu1wC4/qHL1mvd12jwPjL345ARZVHtZ/xeZQEisM7NcLKXUeMC56F0WgHp5bNI0ogBqM55v352zDhk2WGr1/z+jwcrarFoq2H0KA43/RcrRrUwQ6d5AdWZWtvWrR3xaGJRETkhOmr98bdGKhtaI4/031I/zYNLB+nl8DIqCzaPBCLtx3SPQ8AuAPB6K2ndsZrP2yyXJ5s8JtTO6e6CERRMRjNMZ8v0S4RG27W2vLg40OV4WuXaau7V64ZhHOe+T7msmhHzLxzw1DdJWCS6fVrB6G61njoMRERUbrYW1Edse2OM7rin9PWxnxOp/I5PHZJXzSrZ309Ut2lXWK4rvYYd+D9RPt6kY0N5O4Uf6eiTJXcXhMGozmmIM/K0rL6fFI/AUGstDf+Ezs3jvE8zjmte7O4z9ElyhwezpUj8uMgASL71D2ZtV5fxGiba4a3w9tztmDf0chAVfd8mudODtO1Q5n32bphneBUoZim0GgOUp5HCzZZNxOl5u8g9siEMlK0CfxmtBVMvL+w2dpgd8spnVJdBCIiylLquvhwZS20KR5cQkRdds2MXs+onfpaGTYcSwlev3aQJt+E/ywf3Dwc7900zNI5tMX/0+hu6lNFUBrac3FZNqJ0wJ7RHBNPAKidVxLvjdvJeSmp9tjFfdG3jX8OS7RhMdk4ZzQb3xMlVjYOiSNKBvXt9olv1qJxXc0a4CK++ll75JK/npW0xmPt6CTlbQzpUGb5HOqiWllLXVkVoDCOkWNEFDv+5eWYeCqoI6rMdYATw2Odqd3SoTHz0sFt0L15PdN90qGcRESUGS7912y8+v3GiO2Rme21DcWRORnMRI56Cq+s6tfJR2mReUJDveI4seyVk9WmUXGUBuSifLeDVyPKXMnuYGAwmmPMKqi/fGqcZVf3XAZ39lYN6lg83tbliIiIcsa8TQfw0KRVEdu1w3K1z4UQwaQ9sUiHhlOlCLEEtEaHGJ3p41+fiLtHd2OyHyKk5u+fw3RzjNmN/T9ztto6l14w2rlpXUz53cnw6jSraHd3otU0k3AoKxERmdm6vxI1Xh86N61ruI96KZcLB7TCTFUWfMAfdNkZBaVdGiYd5k4qJYolPjQqv9F3jh4t6qFHC/ORTUSUOAxGc4yTlYxw+QNMdZAlpUSe22XpFysbGiG/v/vUiCVwiMiayOGGRLlt5OMzABjPdfx6xW74VF2hXp/Uzeegrer7t2kQthanWsQwXXtFjjyfQ+fxnyOGnlGb24koXLJrZgajOcbJANAl/NWE+pfW7Bc4ssJLUf54B0/RpqwYbSzmVUiDxuaEsbOWHBGQ3X8PRPH6aOF23e03v70w7LlPSp1huqF5kI3rFmLf0WpbDT9ONVo7cRonlnYhIutSkVyQc0ZzjKPJABB507cT3DlVX6QqKyf7dEKeHT8g1UUgIspYU5bvRvsJk4LP//jhkrDXj1TVoqrWG3Hc3iORa4kKAew+XAUAwbVGtQGrmfjXGU3P2pExKlF6Ys9ojnFymK7SM6pmpxJKVMVwRo+myHenXztLh8Z1sXzHEZQUZl/GvoYlBakuQtK1blgH2w8eT3UxiCgLvPjdetPX+z4wVXf7vM0HUK8o/KucgIjIfu/1SYzr3xJHjkdOK3F6DfFar/+ETiQEcsVwDuMERoxGidIRg9Ec4+TwFe2pLh/cBtee1N7y/vEGxkZh76u/HGz5HPEsdm33iH9c3AcXndAKHZsYJ6agzPH5bSOwg8EoETkglqBLoa0L9U7VvH4Rnr7c2giWeL8nnNOnBSYt24WB7RrGfA4lQI6lJEZt4uwZJbIm2aMbGIzmGKfnjKpNvLivreMdG6Ybx3mUYU9F+YnvSS0uyMOp3Zom/DqUHGUlBSjLwR5hJ6XnYD6i5ItnKRbtH5I2mHz68v4Y1dV63RPv94SxfVtgbF/9BExWKRl+GUASJVcq/ubSbywjJZSzw3Tj+zKZDunjz+vXEgDQuLQwxSUhIqJc5WTPqPZM4/q3Qv3ifOPjNb0g6TCcNdQzmvqyEFFisWc0xzgZ/7mEiKsrP96iXDCgFZ6bsT4YUMbijjO64tejOqG4gH8KRESUGvH0Rh6tDp8fareer/Vpl4aJvSxmXrlmkOVRSMHlYRwsSxq0fxORDvaM5hin54zaCUUfOL8XTurcCHmBmi7esnRqUhebHh2LDo1LYj6HyyUYiBIRUUo5kexHYbdu9Xh9mhM4VpQwZ/ZshpO7NLG0bzxzRo2wl5XImmRPoWEwmmOcTDIrhLC1lEvXZqX47w3DUJTvDhzvXFmIiIgyVSqnrbQtKw57ng5TaILYM0qUVKn4M2GXUI5Jh5ZBofmXiIiIUuO1awdj0ZaDuO2dn1Hj9aVJ3Rxf38yPE07TmQtLROmIPaM5JlFzQezo0MQ/rLZuEdtCiHJZkrPHE6WtVPZGNq5biLN6NU+LsijiTWDUqkEdtG5YHH1HIko5RgM5xsk5o7F67ZeDsXZPBQrz3KkuChGlSDrci4jSRTr9OaRDWRKTwCgN3liS3HZqZ+w+UpXqYlCGSnZDMYPRHBNPi2fjuoXYd7Q67jI0KS1EEy6lQkREBCA9hpCG1vZMfWl+e1pnPPjFSpQ6OIIq9e8qef54drdUF4EyVQr+/jlMN8fEO0z33nO6625/+vL+8Z2YiIgoR6XD0FhPYImXvDSYz3PdSR2weeJYR0dQpcFHTEQ6GIzmmHhvxjeN7KS7fXinRvGdOANxuhsRETnBrDdy+8HKpJRBWXaluCCzp9AYrX+eDj2+RJkg2d9vOUw3C/l8Es9MX4erh7VDo7pODoc1/vV08yZPRDaxQYfIz6wKHfGPGUkpw7+uGoh9R6szPmgzK/+tp3bCWT2bG75OlOu4tAs5YvbG/Xhq2jqs3HkEL18zKOw1Xxzf/qpqfYav5blyr5M9s6trIiJKF+lQn9QpcKNNWeZnoDXqGQWAu87Wn2pERKmTexFEDqjx+oPGKk9k8BhPhqyj1R7D13IwFiWiOKTDl2+idJEOc0azBUdcEGUWhhDZKLg+VyRfgvI1u9Mg4QEREVEmYoOuc7h+MVF8zEYXJAJvf1nu44XbUaPqIU3ULxhbdYmIiGIjOFaAiNJAKr7Oc85oFlLWCpu5thwz15Zj28FK/P6MrgDimzNqhj2j4d69cRhaNihKdTGIiCgDxPMFsHvzUnx+2wh0/ctXzhUog0kO1CXKKAxGs5BPM1X08PHa4ONE3aSZTTdcLi51Q2Qbx9MRAYhv2REhBAryONCNiDIT7145IN8d+jEnqmfUxZ5RIrKB7VdEIfH8OfBPKRzbuIgyC3tGs5D2PuxTRaBOzBmd9+fTcbTKn1n3zJ7N8M3KPXGfk4iIKFfF057Lhh0icgrXGSVHaAPO9xdswy9PbI82ZcURQ3hj0bS0CE1L/Y+fu2IAKqqMl3whIiIic/EkAWQCwXDsGCXKLBymm4W0N+KKKg9+8dLswGvO3qYL89xoXLfQ0XMSERHlFPaMOobDdIkyC4PRLKR3Iz5wrAZA4uaMEhHZxdsRkV88S7swFtXinYUoHslu0OEw3axk/FvkY5MhERFRWokrB2Cga/Tv43ph8/5KZwpERDkpnszesWIwmoX04k1leC5jUSJKB+zNIQpx4vvf1cPbx3+SLMDvOUSZhcN0s5DZfTiWbLp/PqdH7IUhIiIiU/EkIapQrSWu1bVZ3ZjPS0S5yen8MtEwGM0iR6pqMXnZLtNWQc4ZJSLKDkKI0UKINUKI9UKICSb7DRZCeIUQlySzfGRdPEPjNu47Zvjah7ecGPN5MxW/5hDFLhWjlhiMZpEb3lyA3/x3EfYfqzbcR2/OaLS5KszUR0SUXoQQbgDPAxgDoCeA8UKIngb7/QPA18ktIdmRqHq2fp38xJyYiMghDEazyMZ9RwEAVbVew330ek3dcWVOICKKDed2xWUIgPVSyo1SyhoA7wEYp7PfbwF8DGBvMgtH9jhdC1/Qv6XDZ8wcsUxHIqLUYTCaRZRhPtW1PsN99HpGU5E5i4hyG+87cWsFYJvq+fbAtiAhRCsAFwJ4KYnlohjEM2dUz5OX9sfah8Y4es5MwVCUKD7Jbs9hMJpF3Eow6okMRpVfLN2eUX4pJCLKNHo3bu0d/ikAf5JSGg+XASCEuEkIsUAIsaC8vNyp8pGOyhqP7nanByi5XAIFebn5FY8do0SxS0VIkJt3qiylVGbVHuPvHXo9o9GG6XIYLxFR2tkOoI3qeWsAOzX7DALwnhBiM4BLALwghLhAeyIp5ctSykFSykFNmjRJUHFpY/lR9Lz/a3ywYFvEaxwpQES5isFoFlEqs4oq/ZZXQD+bbrQ6MI/BaFC3ZqWpLgIREQDMB9BFCNFBCFEA4HIAn6t3kFJ2kFK2l1K2B/ARgN9IKT9NekkJALB2TwUA4P352/Dbd3/G3iNVwdcYizqHc0aJMguD0Sz03vzIVleF3k06es8of00Ub98wJNVFIMoayV7LLJtIKT0AboM/S+4qAB9IKVcIIW4RQtyS2tKRmYVbDuKLJTt1e0iJiFIt2e05eVZ2EkKMBvA0ADeAV6WUEw32GwxgDoDLpJQfOVZKssRKa6DeHtESJ7RuWAcdGpegHlPEo6TA0p8MEVHCSSknA5is2aabrEhKeW0yykTGtFW0RzVUiZ15zuFHSRQ7kYKVRqN+s1atZXYm/HNU5gshPpdSrtTZj2uZpTn9dUb1f/GGdijDH87qhiEdyjDjj6MSXLLMwKFU4YTglyiKDf+UKNep750cWkpEucpKN09wLTMAEEIoa5mt1OynrGU22NESkmVmVZnymt6cUaNRum6XwJAOZfEWK6ukosUonS36y5m62ZuJiMg6hqIO4odJFJdkT6GxMhnQsbXMmD4+9ezMGWUvYCTOcQvXsKQAzesXpboYRERpT1t7qJ/H0jF6Qf+W8RQnq3RpWjf4mLU0UWaxEow6tpYZ08cnllllJkz2cXqxbSIiIjJ3qLIGHq9/ZIleQ2e0TPYndm6ckHJlomevGBB8zCHPRHFIQUhgZZiunbXMAKAxgHOEEB6mkE8fSqIEvTmjRjgklYgSid8ZKZdof9/fmr0FHp/EIxf20Z9C4xL6c2uCJ3S2fJnMrWpUP6dPixSWhIjsstIzyrXMMkS0IaQ+n9QNRo06RqMt+ZLr+D2AKHYckEEEfLHY37av1zDj5h+JZcrHV1ZSgEcu6pPSshBlumQ3FEcNRrmWWeqMf3kO7v9suWPn80qp28hqVN9FGyKUi/LdXHOViIjsM28wtr8GOHMYhFTX+oc7t6hfxHqaKA6p+OZv6S9WSjlZStlVStlJSvlwYNtLeuuZSSmv5Rqjzpi9cT/emr3F8v7RWjI8XqnbnWc0HJc9o5Hy3S4sf/BsAFyagoiIrNOro6XJa6yCrSurWwAAGN2reYpLQkR2WZkzSlnC4/MZDtN9+eqBuOnthWHb89ysCfUU57sBAIPbc9kbIiKKnVIn6wWjeRZ6+G4e2RE9W9ZzulgZp1WDOpj359PRpG5hqotCRDYxGM0hHq/BnFHoB563n94lCaXKPC6XwFe/OxltyopTXRSijMYERpRL9H7dlb8Bvbo5WqZ7AYF7zunhQMmyQ9NSLjNG5IRkV80cWJ+mDlfWOn7OoY98azBnVEQM1e3YpATdm7O11UiPFvVQt5BtOUREFDtl3qfel79ow3SZ34iInJaK+wqD0TR11WtzbR8TrSWjxuvD4m2HIraL4P+IiJKFNx0ipUM0ljXAuUY4EWUDBqNpatmOw8m7mE59xiqOiIjIOVIn4gwmMIohm66L3+CIKAtwnGGWuO/T5SivqI7pWIHI4FOwxZWIiChu+49WY9fhKnj15sko9HpGowSb7BklooRIt3VGKTnW7K7AZ4t36L428O/fYMbqvabHvz3H+hIwWkIIBp9EREQWXPav2Xhk8irL+0/4ZBnOffYHePSCUZMERnns+iSiJDNa7jGReKdLA/+YshpnPzULv3tvcXCbenTO/mM1uP/z5brHbt1fiQ3lR+O6/uOX9OWwXCJKOibTpUw0d9MBvDxro+X9v1m5BwBw5HhkYsLg0i46xxmN0i0NJM/r06q+5TIQEaUrDtNNAy9+tyFiW57LhRqvL/jcaAmEkY/PiOva157YHgPaNsT368rDtjM4JaJE4mAMyjXqOl0RnDOqU8cbzRk9q1dzPHFpPwdLRkQUojeHPZHYM5qGqmq9upVWIihzWFLRLU9ERJQrPF6dBEaBKNTOOqP3nNPd2YIREQVwaRcCAFzw/I8R2yprvJiyfJfj19KdwwL2WhARETmpxmPcM2qa3EilbVkxGtctdLBURESpxWA0DagDP59PYvXuioh9DhyrwS3/WYRl251d8sXr80WUgYiIiJylO0w3EIPW6vSauoTAoxf1ARCqowvy+LWNiLIL72ppQD06J9rw3IOVNY5e2xMcpktElFx66y4SZSu9nlGFxxf5mhBA/Tr5AEJDdllXE1GiJbtqZjCaYi98tz7seff7ppjub3UojxWjezXHhDGBuSeaGo5zSImIiJxT7fHqbvf5pG7dLkSoahaqbUREiZKKewyz6abYY1PW2NrfaI5nLJ64tB9KAiniGXwSUTLxjkO5ptqgZ/TxqWt0e00FRPCLYfBf/uUQUZZhMJqh7nh/MTo0LonrHGatH2x9JSIico7RMF295d0AYMKY7qio8gBQglDJupmIsg6D0QyjzLH638874j6XuoWVFRwREVHiGPWM6vnjWV1xUufG+HrFbv8G1tFElCTJzubAOaMZZtKyXYbzTuLBeo6IiMi6VbuO2NrfTjCqTS7IOpqIkiEVUwHYM5phPlu8E31a1XfkXOreUMGuUSIiIsv2H42e3f7deVuDj2etLbd87ny3v69AWzezriaibMOe0Qz0r1kbHT+ntn5jhUdEicRbDGWiDeVHg48L86N/hbrnk2W2r3Htie1xzfB2ACJ7RPlnQ0TZhsFoBvJEWYvUKtMERo5cgYiIKHuMfmpW8PGl/5qNnzbsc/wa95zTHaVF/vVF2WhDRMmW7DXAOUw3haYqiQlscupXJCyBkUPnJCIiyla13lANLCXwxNS1KBrrxgltGwLwrwUuAHy9YretOaJqZskFGZwSUSJxndEcIqXETW8vjPFYhwsDVnBERER2LdxyEBe98BO+/cMp6NSkLjrdOxlj+7bApKW7Yj5nWD6HQGAqdV4jIsoGHKabIou2Hor52MPHax0pQ3ilpk2S4MgliIgMJXkkEFHC7DlcFXwcTyAaQamLpfKUlTMRJRaXdskRiR6P/fszukTdR12lMfgkIiIKd7iyFpv3HYu6X63PuTpd6DyWSf96SESUHAxGUyTR2WrbNCxOeRmIiIywh4fSnc8ncdZTMzHq/76Luq+UEj6HAlJ13Ry5tIsjlyAiShsMRlMkz5XYGuWCAa2i7qPX+tqw2J/B7/QezZwvFBERUYa455Nl2HOk2tK+UgK1Pocy3Rs81ntORJTpGIymiJX1yeLhthnsKq2vTUuLsOAvZ+D3p0cf5ktERJSt3l+wLfj4l6/PQ2WNx3BfCRmWaTceYQmMAo8lMxgRUZIkO58Dg9EU8aqG89TJdyfkGq0b1jF9PTxjX0jjuoVwJbjnloiIKFPMXFuOn00SD0oJHKs2DlbtCBumq00u6MgViIj0pWIKH4PRFFGP5rnttM4Jucb0P4wyfT18XkpCikBEZIhJWSiTbDtQafjazkPHTYPVWAV7Rh0/MxFReuA6oyniUUWj+e7ERIIFedbbGphMhIiSiQ1glGkmfLLM8LX7PluBEzs1cvyawWy6gXFz/LshomzDntEU8akGZOe70+fHwIqOiIhy3aNfrbJ9zJJth5wvCOtkIkoyrjOaI7yqYbp5FoLRO87omsDSMAglIiJS/GvmRtvHJGKuFeeMElEypeIew2A0Bao9Xrw3b2vwuZVlXm4+pWMii0RERERxqKr1On5O7ZxRrg9ORNmGwWgKPDd9PT75eUfwuZVhunaXarGL9RsREVHsvAlYD0Gpmjs2LgEAXDO8nePXICJKJSYwSoEDx2rCnltJYOSOM1psXLcQ+44aL97NBEZElGzJXsuMKJES8fus9ISWlRTg2ygZ8omIHJHkypk9oymgHZab54r+Y4h33c/v7hoV1/FERE7iaAxKV4cra1NdBCKilEhF3cxgNA3kxbm0y6MX9Ym6T4JH+RIREWWFfn+bmuoiEBHlDAajaSCWdUZ/+NOpwcdWjuYwXCIiInMyzcaOp1t5iCj7cWmXHGRlmK5W09Ki4OPSovyo+0frdueQOSIiynXHE5ARV238kDYxHccGZSJKBi7tkiO0LQ6xDNNVZ9cd07s5Hrmwj2kl54oSbbLxlYiSjbcdSjdVtb7oO8WhbiHzRhIRqTEYTYFab/hXMLOlXc7q2SwYeP7u9C7B7eo5oC6XwBVD2+KB83sZnodzRomIiMzVeu0Fo71a1ktQSYiIcgOD0RTQzgExW0P05WsGYf3DYwAAd5zZNbhdb+Frs2E86v1vGNEheE4iolTgsENKRzUee8HopNtPNnytQXHkFJruzRm8ElF6S/ZoSQajKfDe/G1hz6MNodULPPWY9X5qX8sz6Y0lIiLKRXZ7Rs300Ak8z+/fEm9fP8SxaxAROclqzOEkRiRpwKkfu9kvkPo1ztMiIiKKpJ1GE4/ZG/dHbMt3u3BylyaWz8H6moiyHYPRJPP5IquWaD2jVlmdF+pjtiIiIqII8faMTvm98bDduHBUOxFlKQajSebRCUad6hGP1rXer3V9APpjwSXbX4koybiGIqWbak9oaZc/ntXVZE99rRsWO1kcIqKkS3ZMwGA0yTy+yFbXRA7P/uaOkXjtl4MAABcMaAWAXwCJKA2wpyduQojRQog1Qoj1QogJOq9fKYRYGvjvJyFEv1SUM1PUeHy4+MXZwef16kRfw1srT2eI0mndm1o69owezfDGdYP1X2S1TURJwHVGc4Bez2g8w3RHdG5s+nqXZqU4vUczAKFfML06TYlPnRoyTEREiSOEcAN4HsAYAD0BjBdC9NTstgnAKVLKvgD+DuDl5JYyszw3Y33Yc7Nl14yo69BfDGwNAGhWr8jSsT1alOLUbtYCVyKibMHVl5PI65Pw6iRHiDUAXPvQGNNlYSKuE9hXr2PUGwiS7ZyPiIhSZgiA9VLKjQAghHgPwDgAK5UdpJQ/qfafA6B1UkuYYfYeqQp7XhBDMKquQx+7pC9O694UXZuX4t15W6MeqzuFRtnGqpmIkiQtl3bhUKD4/e/n7eh072TsVlV2yhpksQaABXkuW8cqe+olMPIGtrkYjBIRZYJWANTrhG0PbDNyPYCv9F4QQtwkhFgghFhQXl7uYBEzi7ZqLMiLpWc09FgIgTF9WiDfZe08evO0lG2smokoW0XtGVUNBToT/spuvhDicynlStVuylCgg0KIMfAPBRqaiAJnqjd+3AwA2LL/WHDb9D+MwuHjtSgrLkhKGZQERzojhYNZfvXmuxARJQKnwcVF72at+5EKIU6FPxgdofe6lPJlBIbwDho0KGd/LNqGWrNg9KWrBqK8oipiu14iQbPBTwPbNcTCLQcBmPeMCnaNElESpGK2npXmuuBQICllDQBlKFCQlPInKeXBwFMOBdKxdPthAOGBYFlJATo0LkG9Onno2SJycWynhX7BIms8ZS6rm3NGiYgywXYAbVTPWwPYqd1JCNEXwKsAxkkpIxe+pCBtQ63ZMN3RvZvj6uHtLZ3XrFr96Jbhwcdm+RxYNRNRtrISjDo2FCidTVm+C0erPQm/jtLyOn5I6DuEEAKTfxe5Ntl7Nw1z9NpKy6pe62u7Rv509Of1b+noNYmI9PC7ddzmA+gihOgghCgAcDmAz9U7CCHaAvgEwNVSyrUpKGNG0WaajyWBkR6zZdeEECjKN75OaJgu/2KIKDnScc5oLEOB/mTwelrNS6ms8Qef6/ZU4Jb/LMKv3pjv2Ln3HKnCC9+tj6jclERBwzuZZ8Ed178lhnVs5Fh5gFDLqt4vWYv6dbDmodG4amhbR69JRETOk1J6ANwG4GsAqwB8IKVcIYS4RQhxS2C3+wE0AvCCEGKxEGJBioqbEWq84UuvWZzqiWl3jjR9Pdrsl9tP7wJAv272sWeUiJIq+TcbK9l07Q4FGmM0FCid5qUs2HwAl7w0G29eNxgNAnM2520+gNW7j6B78/iHzN790VLMXFuOkzs3QZ/W9YPbqz3+yi7a3EynWmTVagMVbX6e/rUL89yOX5OIiBJDSjkZwGTNtpdUj28AcEOyy5Wpqmo1wajFCLBz09Kw538f1wu9WoXq/WjnCY5a0ktgxHXBiSjLWYl4snIokJIw4Mf1+8K2vzt3Kw4eq4n7/FW1XgDAkarasO01KQxG6wcW8G7dsNjxcxMREWWyXYePhz2PdWjs1cPb44S2DYPP9c5yRmD97zB6CYziLAsRUbqL2jMqpfQIIZShQG4ArytDgQKvv4TwoUAA4JFSDkpcseOnLIni9YVXFP+evQWLtx/GZ7eeFNf5iwv8vYwHK8MD22Aw6javWC4ZqJ8Dau69p6Na03pr1fn9WsIlBM7p0yKm44mIHMVOH0oTPp/Eip1HwrY5lVxeb87oq78cpHrd/6/en0NJgf9rWvN6Rc4UhogoimRXzVaG6WblUCBXcJkTGTEXY/WuIzpH2KNUPsdrvGHblTkpbpPJKJsnjjV8rVkcFZIQAuf1Y4IiIko9s6QuRMmmnS8KGP+ODmzXUHe7Eau/6npDcge3b4gnL+2H0b2b27omEVEsUlE1WwpGs5HSM+n1yYj1u+IZDrP9YCVG/GMGCgPrkylzRBVWh+kSERFRcuiNONKrps/t2wJPXdbf1rmtfqfQX6NU4KITuFoeEWUv5ycmZgilcvDqtERqF7624+ethwCEglBtMKrMJWUwSkRElB6qvd6IbXpBZGGeG3k2czpEq+2V7xycF0pEuSjng1GfL3KYrjYWXbb9MEY/NQu7D1dFPa828VC1J7yCe+G7DQCizxklIiKixFq/twITv1od1jM6997TMfWOkY4Fh9HOo3znYBs1EaWDZGfxzslgdOeh48Est6t05odq06vf8cFirN5dgWGPfgufz/wHpK1Majz6yYbM5owSEeUC5i+iVPvVmwvw0swN2LK/MritWb0idG1W6tjcKRGlule+V7BnlIhSLRV3oZycM3rixOnBx0u2H44YSquNN9XDdg9U1qBx3ULL19KeW8FhukRERKmlND4fq/EAAG49tVPwtaL8yLW3Y4kXox1yzfD2WLnrCK4f0cH+yYmIMlxOBqNaF7/4U9jziDmjqqdGPZ0KbQICo2VYOEyXiHIZ74CUDtyBOlvJ5zCgTShTrrI2d7yi9XjWL87Hi1cNdORaRESZJqfGilbWePD0tHVR99PGourg1OO1N7Ds9R836W5nzygREVFqbQ4Mz1VGMeXnhb4W6QWjdXR6S6Ph6FsiyhSpuF/lVDD6v5934J/T1lref8+RKvS4b0qwsgIAj8+8Z1Q76VcI4Gi1J2I/zhklIiIy5/VJrN4d/9rf0Sg9o/mqhuKCPBcW/OWM4PPuzUtx48kdbZ+bc0GJiIzl1DDdiqrIoNDMjNV7cbw2PBuuN0oCI4/m9ZO7NMGSbYeCz13CPydVr2d0XP+WGGRzMW0iIqJs9fS0tXhm+nq0KauDf1zUFyd2bhzzuWq9PggAuw5XoU1Zcdhrx2sCwWheeEOxOkfElN+PjPnaRESkL6e65+yOjNULO2ujDNOt9Yb3nHq8PpQUhmJ+JVbVmzP69OUDcPXw9vYKSUSUoZKdPp4yw54jVcHfjYVbDwIAth04jrs+WhrzOb9fV44uf/4Kt73zM05+bAaW7zgc9vrxBK4Bzp5RIsokya6acywYjb9CiNozqglWPV6pe4ybc0aJKIfx+znpWbXrCIY+8i3+O3crpJT4cf3+4Gvaxl47fli/DwAwZcVuAAhbygUIBaPatcKtuu/cnrjt1M66r7G6J6JMIVKQXjCnhuk6EYwu3HIAP27Yh1tO6aT7+u4jVWHPPT5fZHZeAHmcM0pERBRm875jAPw9md2bl4a9pq1JN+87hmmr9qBeUT4uHdzG9LwFmiCz2hM+BaeqJr5g1GxZFm2WfSIiCsmxYNTe/nrd1A98sRKAf37JHWd2DXut2uPF41+vCdu2aOshfL9uX8R5uLQLERFROFegovb6InMwaOvkq16bi+0HjwMARnVvgqalRYbnjVh2TbNMW/nRagCJqZvZM0pEZCynuudcNmsEqTtr1O/pbyOXiDGaTzo1MCxIjUu7EBERhfMFAtBpq/bgf4t2mO6rBKJWaKtc7Zrhk5f562ltD6oT2DNKRJnELP5JhJzoGX3m23VYuv0wRnVrYvmYXYeP4wdVj6aSBTcWesN0OWeUiHId0xeRYs+RKjSrVxS2FNr7C7ZZPj5aPgftPCjtMF2FXs/o+f1aYmjHMstlISLKVKloO8uJYPTJb/xri1ZU1Vo+5rxnf8S+wLAdACgpzIu6NIw2O59Cr5LknFEiIiJ/LoaLX5yNpy/vj2M663KHGAecHq+ElNKwFzJaz6hCb87oM+MHmJSJiIjikVURkc8ng2uF6Zm76YDlc6kDUQAozHPr7rfj0HH87+ftAIDLX54T3P705f2DjzeUHws7RojE9Yx+/OsTMe1OroVGROmNY0NIsWGvv46ctXYfjpnU4VrquPPV7zei231TgsN8zfYF/HNGj+oEvvlsKCYiSqqs6hmdOGU1Xp61EWsfGoOCwMLVRhWTXYV5+hXUla/Mweb9lRGJFc7r2xK/e29x2LY8l4DHJxM6X3Rgu4YJOzcREZHTlMbZjxdtR2mR8dcSpZ49XuPFla/OCat3/z17CwB/kFmnILLxWNtjWuPxYeXOIxH75eexmYSIchvXGY3Du3O3AkDYMJ8jJkNz7YyLLswP/6i6NK0LANh12L+Uy50fLAl7XS9ZkjL8h/NFiYiI/NTfe8ymwyj7Ldp6EIu2HtLd5/UfN1m6ZrXHh6L8yK9AnEJDRLksFXNGs+quq6SBf2b6uohteuysO6odpusNNBto08ObyQ8kRmBlR0REuW7f0WqUV1RH31FDLymgQru8mkKbu6Ha4wuOoFLL57JrRERJlVVRUa3XHxi+8eNmyEBlZTZMN1r2PTXtMF2PwTIuZpSKj2uMEhElfygQpZdRj3+HwQ9Ps7y/Uq/bqbsVeyuqwp5Xe7wR9XieS3AZFiLKecmumrMqGFUHef/+aTMA857RXi3rWT63NhhVAl8zH90yPOy5MkyXa4wSUa7jl35SEghJi60Syl7qnlEr1enxGi/+M2dr2LYajy/i+4FeJl0iolyiXQYrGbLqzqsedvvAFysBmLeglhblhWW9NaMdzlNroWdUm0xIOQfnjBIREfmZDbtVO1RZi/V7j8KnagsuytfPdK9WWRM5D7Xa44NH06jMUUtERMmXtcGowiwYFRA4v19LS+fWpoC30jMqhAibf6L0rnLOKBER5YrF2w6h/YRJWLhFf3m1Q5XW1wA/48mZwZwNgHGm+2jYM0pElB6y6s7bvnFxxDazYbpCWB8q9rMmc9/h49YqT3Xg6XZxzigREeWWCR8vBQBc/OLs4DZ1PodHv1pt63zqY416Ro9We4KZ9dWN0red2hkAMHNtOdbtPRp2TCKTF/VoUQ+/Pa1zws5PROQUq1MnnJJVwWibhuHB6I5Dx02H/9jJpqvnz/9bFnUfdeWmNLq6OVeKiAgy6WkSKBX06uFan/HooiEdyqKcL/S4jkEw2vuvX6PXX78GAKxQrSf6x7O7BR//d86WsGMSOWrpq9+djD+c1S36jkREqcSlXeKjre9OmjgdbwYSGemJNyb879ytUfdRzzVtUb8OAA4FIiKi3KE3QsksI33jugW479yehq/f+s6i4ONoc0Y9Xh+ue3O+7ms1muk2eku9EBFRYmXVnVevlf0dCwFjIimB55VD26KkwF9pcpguEeU63gVzR2W1N/hYWWLFLBgtcLssDxOrUxAejNYrygt7/tOG/YbHKr+DShDKNUaJiJIvq4JRu0uPxTtM1wol8Mx3u9CmrDiwLas+diIiIkPHVAkAdx3yB6Nmw3Tt9FBqh+k2q1cU9vya1+cZHruh/BgAJhckIlLjOqNxsDvf1k4sWpjnwu0Wkw98/OvQ+qLqtUWVCo9tr0RElCvcqh7Hv36+AseqPeY9o3kuy/V5tccb9txKpnutwjx/QJvPYbpElONSEaNk2Z3XXjRq5wOXErhgQCvTfV6+eiA2TxyLge1CyRcKlGDU7Qq29jJlBxER5YphHRoFHy/edgjPzVhvGjS6hMBlQ9pYOvf8zQfDntd4fHjym7WmxwzSrAFelB8Ypss1wImIki6rglG7PaPaYbqr/z4aIzo31j83ZNQhPHprmio9o/luEUpclOSUyURE6Yi3wtwgIaGO82o8Pkxducd4fwnUK8qP6Vo1Xolnvl1nus/r1w0Oe14cmHfK5IJERMmXVXdes2Vc9ChrjN57TnfULcxDUb4bbcrq6O57YqfGURMP6WUMdAVq4DyXK1jR8fsXEeU8dkLlDJ8E6haGEgvluQX+/uVKk/1jryX3Ha2Ouk+9onzkqaLjtXuOBstFRJTzkhyoZFUwKgH0bV0/YrvRyBulY/SmkZ2w/MGz/ecw+AG8eNUJwZ7UAoPWU72eUeXSeW4RPI69AURElCukBEpUwWhxfp7J3vaSEU68qE9MZVKmzajrc/aMElGuE0lI7qqVVXdeKfUb240qNr19jQLF4oJQ5VlokORAr2dUke8WyM/zX5ELvRMRUa6QUqJR3YLg85JC87VBrS7rAgCXDW6DL387wtK+fVqFGquVYPSywaG5qXauS0REzsiuYBTWIvqLT2gNAGhUt1DnHJGV0X9vGBr2XLuumbJ+aKcmJRHHKsXJc7lQ4Pbvx/qOiIhyhU9KuITAPy7292I+NGlV1P0B4JKBraOeWwiBjjp1r54vVEFrQTCfgwt/GdsjcF1LpyEiympc2iUOUsqoy7X87vQu+L9f9MVDF/TGfef20DlH5DEnBZIaNSktxNi+LfDS1QPD1jZ79ZeDMeee0zGgbcPIgwP8CYyE4TWIiHIN74W5wSf9QeOFA6IHl0Do9+Kxi/ti3cNjMOuuU4NJhvQUF+Rh88SxaNVAP+eDHqVnNN8dWnYtnrmqRETZIBUz580nbmQYo2G6ANC8XhFaNayDO87sCgC4alg7/XOYnN/tEnj+ihMAAJ/ddhJ+Wr8PvzyxvWlvbGjOqCu4hhmrOyIiyhU+KSGAYINs9P39/7pcAi4ItG1UjL6t62POxgOmx71w5QkY9/yPEdvH9G6Ox3/RL2xbKBhVLbvGypmIKOmyKxiFjFiuRfHdXaPCsucZnsNiZdS1WSm6Niu1XLZ8t8sw8RERUa4RTKebM6T0JxK0mhhDb+6mlbq5fh395WAuG9wmLJsvAOS7QsFoYZ6/15U9o0REyZdV0ZHP55+jOeuuUzG6V/Ow14ry3cizEAxq54w+dVn/uMqkVL7qdUaZJIGIiHKFUUNxicHQ28uHtI08h4Vq02hpFt1M90o+Bw7TJSIKk+w4JauCUQkJERjS89LVA1FWUhD9oMiTBNWvk48LBrSKq0zBYbouDgUiIqLc4/NBNxjt3LRu2PPTujfF5oljMaRDWeQ5dCrO7+8+Ney50dIs+sFoqKG4MN9/nNvC6CkiomyWgpVdsiwYlQibNKpOMmRViwZFwcfaYT2xULe+BhMYcdYoERHlCJ9BckFt8Pj6tYMNz6FXa7YpKw57rg4mf5xwGs7u1QyA+RrgBW5XMDA1muZDRESJk2VzRv3zUhRvXDcYZ/1zlq1z/O70rujZoj7W7KnABf1bOla2fLdgqysREeUcKfV7He3UiVaG0CrzQAGgcd0C5AWem60BXpDnhtfrf91KXgkiInJWlvWMyrCkGF2bleLmUzrif7850fI5CvJcGNu3Be48sys6Nqkb/YAolPLkuVzBxxymS0S5jp1QucOoZ3TupgO49sT2AICXrx5oeg693k0t9ZzRArcLfVvXBwC0VI140irIc6Ha4wNgPMyXiCiXJDtMya6eURn5BeeeMZFriSaVapiuUjbGokRElCv8o5b8FeCY3s3x1fLdwdceOL8XHji/V9RzdGpSF0u3Hzbdp6QwD0M6lGHepgMQQuDGkzvipM6N0btVfcNjCvJcGNm1MYa0L8OEMd2tvSEioiyVinbirGoGlEjf1nYBEayMORSIiIhyhbpn9KnL+8d0jocv7I1nxw8IPv/01pN09/vg5uHYPHEsAP86pUaBqNLTWuB2obQoHx/cMtyR0VBERGRPlvWMGq8zmipKaaSU6NSkBLec0gnjh7RJaZmIiIiSxSdDPaPKmp6Avcbj4oI8nN2rOdo3KsafRndH/zYN4irTmj0VAICKqtq4zkNElG2SPZ0wq4JRC1NKkq60yL8Id36eP2MfhwEREflxzeXc4G8oDj0/qXMj/Lh+PybffrKt8xTkufDdXadG39GCdo2KsWV/Jc7o0cyR8xERZQORgk69rApG/cN006tn9NGL+qDvvPoY2LZhqotCRESUdD7NqKXnrzgBWw9UokeLeikr0+e3jcC+o9VoGMt65ERE5JisCkYhZUom3pppUlqI20/vkupiEBGllXS7V1Pi+HzhQ3IbFBegQXFqg8D6dfJRv05+SstARERZmMCIuYGIiIjSRzqOWiIiokgC1tZ1dpKlYFQIMVoIsUYIsV4IMUHndSGEeCbw+lIhxAnOFzU6f8Y+VnhERJT9MqVu1s4ZJSKi9FSvTj4OVyY3sVvUYFQI4QbwPIAxAHoCGC+E6KnZbQyALoH/bgLwosPltERKDv0iIqLsl0l1s9cnIVg7ExGlvSalhaio9mD2hv1Ju6aVOaNDAKyXUm4EACHEewDGAVip2mccgLekPzXiHCFEAyFECynlLsdLrLL/aDVueGtB8PnG8mNoUb8okZckIiKHlB+txoUv/Ii7z+6O4Z0apbo4mSZt6+Ydh45j9FOzIOBf6/NQZS0apniOKBERRdemrBgAMP6VOXjhyhNwTp8WCb+mlWC0FYBtqufbAQy1sE8rAGEVnhDiJvhbZ9G2bVu7ZY0ghEDdwtBbGNS+Icb1bxX3eYmIKLHO6dsCeyqqIaVEnpu9ZjFI27q5pMCNi09oDcA/RHf3kSpcPax93OclIqLEGtunBVrWL8J3a8oxokvjpFzTSjCq9y1BO7PVyj6QUr4M4GUAGDRoUNyzY8tKCvD29dq6l4iI0t2p3Zri1G5NU12MTJa2dXOD4gI8cH6veE9DRERJ5nYJDGpfhkHty5J2TSsJjLYDaKN63hrAzhj2ISIiImewbiYiooxnJRidD6CLEKKDEKIAwOUAPtfs8zmAawKZ+4YBOJzoOSlEREQ5jHUzERFlvKjDdKWUHiHEbQC+BuAG8LqUcoUQ4pbA6y8BmAzgHADrAVQCuC5xRSYiIsptrJuJiCgbWJkzCinlZPgrNfW2l1SPJYBbnS0aERERGWHdTEREmc7KMF0iIiIiIiIiRzEYJSIiIiIioqRjMEpERERERERJx2CUiIiIiIiIko7BKBERERERESUdg1EiIiIiIiJKOgajRERERERElHQMRomIiIiIiCjpGIwSERERERFR0gkpZWouLEQ5gC0Ona4xgH0OnSvZWPbky9RyAyx7qrDsqWG37O2klE0SVZhcwLo5iGVPvkwtN8CypwrLnhqO1s0pC0adJIRYIKUclOpyxIJlT75MLTfAsqcKy54amVx2yuyfH8uefJlaboBlTxWWPTWcLjuH6RIREREREVHSMRglIiIiIiKipMuWYPTlVBcgDix78mVquQGWPVVY9tTI5LJTZv/8WPbky9RyAyx7qrDsqeFo2bNizigRERERERFllmzpGSUiIiIiIqIMkpbBqBCiSAgxTwixRAixQgjxYGD7A0KIHUKIxYH/zlEdc48QYr0QYo0Q4mzV9oFCiGWB154RQogklN8thPhZCPFl4HmZEOIbIcS6wL8N07HcBmXPiM88cN3NgesuFkIsCGxL+8/eoNwZ8bkLIRoIIT4SQqwWQqwSQgzPhM/cpOxp/7kLIbqpyrdYCHFECPH7TPjcTcqe9p87sW5OVbkNyp4Rn3nguqyb06N+S/vP3KTsaf+5C9bNsZddSpl2/wEQAOoGHucDmAtgGIAHAPxRZ/+eAJYAKATQAcAGAO7Aa/MADA+c8ysAY5JQ/jsBvAPgy8DzxwBMCDyeAOAf6Vhug7JnxGceuO5mAI0129L+szcod0Z87gD+DeCGwOMCAA0y4TM3KXtGfO6qcrkB7AbQLlM+d4OyZ9Tnnqv/gXVzyn7vdMqeEZ954Lqbwbo5Heq3tP/MTcqeEZ+7qlysm22UPS17RqXf0cDT/MB/ZpNbxwF4T0pZLaXcBGA9gCFCiBYA6kkpZ0v/J/QWgAsSWHQIIVoDGAvgVU35/h14/G9VGdKm3CZlN5JWZY9SzrT/7G1Im3ILIeoBGAngNQCQUtZIKQ8hAz5zk7IbSZuya5wOYIOUcgsy4HM3KbuRdC17TmLdzLrZQRnx2duQNuVm3ZwWvy+sm22UPS2DUSA4JGUxgL0AvpFSzg28dJsQYqkQ4nVVV3crANtUh28PbGsVeKzdnkhPAbgbgE+1rZmUchcABP5tGtieTuUG9MsOpP9nrpAApgohFgohbgpsy4TPXq/cQPp/7h0BlAN4Q/iHj70qhChBZnzmRmUH0v9zV7scwLuBx5nwuaupyw5k1uees1g3s26OAevmyO2JxLo59XUE6+bw7abSNhiVUnqllP0BtIY/2u4N4EUAnQD0B7ALwBOB3fXGI0uT7QkhhDgXwF4p5UKrh+hsS3q5AdOyp/VnrnGSlPIEAGMA3CqEGGmybzqVX6/cmfC55wE4AcCLUsoBAI7BPwTFSCaUPRM+dwCAEKIAwPkAPoy2q862dCt7xnzuuY51s+72hGHdDIB1s12sm9OrfjPcVWdbupU9KZ972gajikD3/HcARksp9wQqQh+AVwAMCey2HUAb1WGtAewMbG+tsz1RTgJwvhBiM4D3AJwmhPgPgD2BrmsE/t2bZuUGDMqeAZ95kJRyZ+DfvQD+B39Z0/6z1yt3hnzu2wFsV/WMfAR/JZL2nzkMyp4hn7tiDIBFUso9geeZ8LkrwsqeYZ87gXVzksoNsG5m3Wwf6+Y0qt+QGZ+7IiV1c1oGo0KIJkKIBoHHdQCcAWC18sMMuBDA8sDjzwFcLoQoFEJ0ANAFwLxAd3iFEGJYIJvTNQA+S1S5pZT3SClbSynbw9/NPV1KeVWgfL8M7PZLVRnSotxmZU/3z1whhCgRQpQqjwGcFShrWn/2RuXOhM9dSrkbwDYhRLfAptMBrESaf+ZmZc+Ez11lPMKH0qT9564SVvYM+9xzFutm1s12sW5On/oNaf6Zm5U9Ez53FdbNdssuk5Sdyc5/APoC+BnA0sAbvz+w/W0AywLbPwfQQnXMn+HP5rQGqsxNAAYFzrEBwHMARJLewyiEst41AvAtgHWBf8vStdw6Zc+Izxz+eQZLAv+tAPDnTPjsTcqdKZ97fwALAuX8FEDDdP/Mo5Q9Uz73YgD7AdRXbcuUz12v7Bnxuef6f2DdnNLfO7BuZt1svfz9wbo5Xeq3TPncU1Y3i8CBREREREREREmTlsN0iYiIiIiIKLsxGCUiIiIiIqKkYzBKREREREREScdglIiIiIiIiJKOwSgRERERERElHYNRIgBCiNZCiM+EEOuEEBuEEE8LIQoM9m0phPjIwjknK2vyxVCeB4QQf9TZ3k0I8Z0QYrEQYpUQ4uVYzm9y3VFCiBOdPCcREZFVQghvoI5bIYRYIoS4UwiRsO+rQoj2Qojl0fcMO+ZNIcQlOtuHCSHmquroBxwrqP/8Fwghejp5TqJUYzBKOS+wMO8nAD6VUnYB0BVAXQAP6+ybJ6XcKaWMqIS0pJTnSCkPOVzcZwD8U0rZX0rZA8CzDp9/FADdYFQIkefwtYiIiLSOB+q4XgDOBHAOgL+muExW/RvATVLK/gB6A/jA4fNfAEA3GGUdTZmKwSgRcBqAKinlGwAgpfQCuAPAr4QQxUKIa4UQHwohvgAwVd2KGnj9AyHEUiHE+4EW0UGB1zYLIRoH9l8lhHgl0NI7VQhRJ7DPjUKI+YHW34+FEMVRytoCwHbliZRyWeA81wZ6dqcIIdYIIYIVtxDiKiHEvEBL7b+EEO7A9tFCiEWBa38rhGgP4BYAdwT2PTnQ+vukEGIGgH8IIYYIIX4SQvwc+LebEz8AIiIiLSnlXgA3AbhN+LmFEI8H6s2lQoiblX2FEHcLIZYF6rSJgW39hRBzAvv+TwjRMLB9YGC/2QBuVZ1D9/yBaz8nhFgphJgEoKlBkZsC2BUou1dKuTJw/ANCiLeFENOFfwTWjapr3qW63oOq7dcEti0JHHsigPMBPB6oozsJ/0ipR4QQMwH8TghxXuB7yM9CiGlCiGYO/BiIEoqtKERALwAL1RuklEeEEFsBdA5sGg6gr5TyQCBoU/wGwEEpZV8hRG8Aiw2u0QXAeCnljUKIDwBcDOA/AD6RUr4CAEKIhwBcD/Pezn8CmC6E+AnAVABvqHpfh8DfElsJYH6gwjwG4DIAJ0kpa4UQLwC4UgjxFYBXAIyUUm4SQpQF3ttLAI5KKf8vUKbr4e8pPkNK6RVC1Asc4xFCnAHgkcB7ISIicpyUcqPwD9NtCmAcgMNSysFCiEIAPwohpgLoDn+v4VApZaUQoixw+FsAfiulnCmE+Bv8Pay/B/CGavvjqstdb3D+AQC6AegDoBmAlQBe1ynuPwGsEUJ8B2AKgH9LKasCr/UFMAxACYCfA3V0b/i/HwwBIAB8LoQYCWA/gD/DX3fvU9XRnwP4Ukr5EQAIIQCggZTylMDzhgCGSSmlEOIGAHcD+IPNj5woqRiMEvkrABll+zdSygM6+4wA8DQASCmXCyGWGlxjk5RyceDxQgDtA497B4LQBvAPDf7arKBSyjeEEF8DGA1/pXyzEKKfqoz7AUAI8UmgbB4AA+EPTgGgDoC98FeIs6SUmwLn1Xtvig8DvcUAUB/Av4UQXeD/bPLNyktEROQAEfj3LAB9RWi+Zn34g7kz4G+crQT8dZoQoj78gdrMwL7/BvChzva3AYyJcv6RAN4N1IU7hRDT9QoppfybEOK/gfNcAWA8/NNfAOAzKeVxAMcDo42GwF9PnwXg58A+dQPX6wfgIynlPuX9mHw276setwbwvhCiBYACAJtMjiNKCxymSwSsADBIvSHQA9gGwIbApmMGxwqD7VrVqsdehBqC3gRwm5SyD4AHARRFO1FgzurrUspx8AebvZWXtLsGyvfvwPyb/lLKblLKB2AcgOtRv/e/A5ghpewN4Dwr5SUiIoqVEKIj/PXmXvjrrt+q6rQOUsqpsFenme1rdH5YPb+UcoOU8kUApwPoJ4RoZHC8Ukc/qrpeZynlazbfj7qOfhbAc4HvFDeDdTRlAAajRMC3AIqFENcA/jkjAJ4A8KbSymriBwCXBo7rCf8QHjtKAewSQuQDuDLazsI/zzM/8Lg5gEYAdgRePlMIUSb881EvAPBj4L1dIoRoGjimTAjRDsBsAKcIIToo2wPnqAiUyUh91fWutfomiYiI7BJCNAHwEvwBloR/9NCvVfVgVyFECfzTVn4lAnkXAsNaDwM4KIQ4OXC6qwHMDExtOSyEGBHYrq57jc4/C8DlgTmlLQCcalDesSIwDAn+Hk4vgEOB5+OEEEWB4HQUgPmB6/1KCFE3cHyrQH39LYBLlUA2xjr6lyb7EaUNDtOlnBeYW3EhgBeEEPfB30gzGcC9Fg5/Af5hq0vhH2azFMBhG5e/D8BcAFsALIN5JQP4h/M8LYRQ5qDcJaXcHaj7foB/uFFnAO9IKRcAgBDiL/AnXnIBqAVwq5RyjhDiJgCfBLbvhT9r4RcAPhJCjAPwW53rPxZ4v3cC0B2mREREFIc6QojF8E8D8cBfrz0ZeO1V+Ke5LAoEfeUALpBSThFC9AewQAhRg1Ad/ksALwWC1I0Arguc5zoArwshKhE+PUb3/AD+B3+yw2UA1gKYCX1XA/hn4LweAFcG8i0AwDwAkwC0BfB3KeVO+If89gAwO7DPUQBXSSlXCCEeBjBTCOGF//vFtQDeA/CKEOJ2AHpZ/R+AfyjyDgBzAHQwKCdR2hD+hiYiikWgFzVfSlklhOgEf2tmVyllTZLLcS2AQVLK25J5XSIiIjIn/OuNBpMDElEIe0aJ4lMMYEZgSI8A8OtkB6JERERERJmIPaNERERERESUdExgREREREREREnHYJSIiIiIiIiSjsEoERERERERJR2DUSIiIiIiIko6BqNERERERESUdAxGiYiIiIiIKOn+H6CurFSv+OyxAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1152x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "for m in range(10):\n",
    "    figure = m\n",
    "    fig, ax = plt.subplots(1, 2, figsize=(16, 6))\n",
    "    ax[0].plot(wave2, custom_set[figure])\n",
    "    ax[0].set_xlabel('Original Spectra')   \n",
    "    ax[1].plot(wave2, decoded_imgs[figure])\n",
    "    ax[1].set_xlabel('Decoded Spectra')\n",
    "plt.close(fig)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plotting the distribution"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "x = []\n",
    "y = []\n",
    "for i in range(num):\n",
    "    op = vae.predict(np.array([custom_set[i]]))\n",
    "    x.append(op[0][0])\n",
    "    y.append(op[0][1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "\n",
    "df = pd.DataFrame()\n",
    "df['x'] = x\n",
    "df['y'] = y\n",
    "\n",
    "plt.figure(figsize=(8, 6))\n",
    "sns.scatterplot(x='x', y='y', data=df)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Saving results and model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "np.save('VAE_encoded_imgs.npy', encoded_imgs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "np.save('VAE_decoded_imgs.npy', decoded_imgs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Assets written to: Miles_VAE.tf/assets\n"
     ]
    }
   ],
   "source": [
    "vae.save('Miles_VAE.tf',save_format='tf')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:Compiled the loaded model, but the compiled metrics have yet to be built. `model.compile_metrics` will be empty until you train or evaluate the model.\n",
      "INFO:tensorflow:Assets written to: Miles_VAE_Encoder.tf/assets\n"
     ]
    }
   ],
   "source": [
    "encoder.save('Miles_VAE_Encoder.tf', save_format='tf')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:Compiled the loaded model, but the compiled metrics have yet to be built. `model.compile_metrics` will be empty until you train or evaluate the model.\n",
      "INFO:tensorflow:Assets written to: Miles_VAE_Decoder.tf/assets\n"
     ]
    }
   ],
   "source": [
    "encoder.save('Miles_VAE_Decoder.tf', save_format='tf')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "from numpy import save\n",
    "weights = vae.get_weights()\n",
    "vae.save_weights('Miles_VAE_Weights', weights)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<details>\n",
       "<summary>Click to view session information</summary>\n",
       "<pre>\n",
       "-----\n",
       "session_info        1.0.0\n",
       "-----\n",
       "</pre>\n",
       "<details>\n",
       "<summary>Click to view modules imported as dependencies</summary>\n",
       "<pre>\n",
       "CoreFoundation              NA\n",
       "Foundation                  NA\n",
       "PyObjCTools                 NA\n",
       "anyio                       NA\n",
       "appnope                     0.1.2\n",
       "arrow                       1.2.3\n",
       "asttokens                   NA\n",
       "attr                        23.1.0\n",
       "attrs                       23.1.0\n",
       "babel                       2.12.1\n",
       "backcall                    0.2.0\n",
       "brotli                      NA\n",
       "certifi                     2022.09.24\n",
       "chardet                     4.0.0\n",
       "charset_normalizer          2.0.4\n",
       "colorama                    0.4.5\n",
       "cython_runtime              NA\n",
       "dateutil                    2.8.2\n",
       "debugpy                     1.5.1\n",
       "decorator                   5.1.1\n",
       "entrypoints                 0.4\n",
       "executing                   0.8.3\n",
       "fastjsonschema              NA\n",
       "fqdn                        NA\n",
       "google                      NA\n",
       "idna                        3.3\n",
       "importlib_metadata          NA\n",
       "importlib_resources         NA\n",
       "ipykernel                   6.9.1\n",
       "ipython_genutils            0.2.0\n",
       "isoduration                 NA\n",
       "jedi                        0.17.1\n",
       "jinja2                      3.1.2\n",
       "json5                       NA\n",
       "jsonpointer                 2.4\n",
       "jsonschema                  4.18.6\n",
       "jsonschema_specifications   NA\n",
       "jupyter_server              1.24.0\n",
       "jupyterlab_server           2.24.0\n",
       "markupsafe                  2.0.1\n",
       "mkl                         2.4.0\n",
       "mpl_toolkits                NA\n",
       "nbformat                    5.3.0\n",
       "numpy                       1.22.3\n",
       "objc                        9.2\n",
       "packaging                   21.3\n",
       "parso                       0.7.0\n",
       "pexpect                     4.8.0\n",
       "pickleshare                 0.7.5\n",
       "pkg_resources               NA\n",
       "platformdirs                3.10.0\n",
       "prometheus_client           NA\n",
       "prompt_toolkit              3.0.20\n",
       "psutil                      5.9.0\n",
       "ptyprocess                  0.7.0\n",
       "pure_eval                   0.2.2\n",
       "pydev_ipython               NA\n",
       "pydevconsole                NA\n",
       "pydevd                      2.6.0\n",
       "pydevd_concurrency_analyser NA\n",
       "pydevd_file_utils           NA\n",
       "pydevd_plugins              NA\n",
       "pydevd_tracing              NA\n",
       "pygments                    2.15.1\n",
       "referencing                 NA\n",
       "requests                    2.28.0\n",
       "rfc3339_validator           0.1.4\n",
       "rfc3986_validator           0.1.1\n",
       "rpds                        NA\n",
       "send2trash                  NA\n",
       "setuptools                  67.8.0\n",
       "six                         1.16.0\n",
       "sniffio                     1.2.0\n",
       "socks                       1.7.1\n",
       "sphinxcontrib               NA\n",
       "stack_data                  0.2.0\n",
       "stsci                       NA\n",
       "terminado                   0.13.1\n",
       "tornado                     6.3.2\n",
       "traitlets                   5.9.0\n",
       "uri_template                NA\n",
       "urllib3                     1.26.9\n",
       "wcwidth                     0.2.5\n",
       "webcolors                   1.11.1\n",
       "websocket                   0.58.0\n",
       "zipp                        NA\n",
       "zmq                         25.1.0\n",
       "zope                        NA\n",
       "</pre>\n",
       "</details> <!-- seems like this ends pre, so might as well be explicit -->\n",
       "<pre>\n",
       "-----\n",
       "IPython             8.4.0\n",
       "jupyter_client      7.2.2\n",
       "jupyter_core        5.3.1\n",
       "jupyterlab          3.6.5\n",
       "notebook            6.4.11\n",
       "-----\n",
       "Python 3.8.5 (default, Sep  4 2020, 02:22:02) [Clang 10.0.0 ]\n",
       "macOS-10.15.7-x86_64-i386-64bit\n",
       "-----\n",
       "Session information updated at 2023-09-07 19:30\n",
       "</pre>\n",
       "</details>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import session_info\n",
    "session_info.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.8.5"
  }
 },
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 "nbformat_minor": 4
}