[R] Case Shiller (Yale) US Housing and Economic API

shillerHousingAPI.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Shiller US Housing API (Yale Download)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<thead><tr><th></th><th scope=col>Real Home Price Index</th><th scope=col>Date</th><th scope=col>Real Building Cost Index</th><th scope=col>U.S. Population Millions</th><th scope=col>Long Rate</th><th scope=col>Date.1</th><th scope=col>Nominal Home Price Index</th><th scope=col>Consumer Price Index</th></tr></thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>7</th><td>100</td><td>1890.000000</td><td>51.362340</td><td>63.056000</td><td>3.420000</td><td>Jan 1890</td><td>3.557296</td><td>7.611652</td></tr>\n",
       "\t<tr><th scope=row>8</th><td>88</td><td>1891</td><td>47.266163</td><td>64.361000</td><td>3.620000</td><td>Jan 1891</td><td>3.209111</td><td>7.801942</td></tr>\n",
       "\t<tr><th scope=row>9</th><td>95</td><td>1892</td><td>52.048155</td><td>65.666000</td><td>3.600000</td><td>Jan 1892</td><td>3.267142</td><td>7.326213</td></tr>\n",
       "\t<tr><th scope=row>10</th><td>92</td><td>1893</td><td>44.673332</td><td>66.970000</td><td>3.750000</td><td>Jan 1893</td><td>3.406416</td><td>7.897091</td></tr>\n",
       "\t<tr><th scope=row>11</th><td>123</td><td>1894</td><td>57.263434</td><td>68.275000</td><td>3.700000</td><td>Jan 1894</td><td>3.969316</td><td>6.850483</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "\\begin{tabular}{r|llllllll}\n",
       "  & Real Home Price Index & Date & Real Building Cost Index & U.S. Population Millions & Long Rate & Date.1 & Nominal Home Price Index & Consumer Price Index\\\\\n",
       "\\hline\n",
       "\t7 & 100 & 1890.000000 & 51.362340 & 63.056000 & 3.420000 & Jan 1890 & 3.557296 & 7.611652\\\\\n",
       "\t8 & 88 & 1891 & 47.266163 & 64.361000 & 3.620000 & Jan 1891 & 3.209111 & 7.801942\\\\\n",
       "\t9 & 95 & 1892 & 52.048155 & 65.666000 & 3.600000 & Jan 1892 & 3.267142 & 7.326213\\\\\n",
       "\t10 & 92 & 1893 & 44.673332 & 66.970000 & 3.750000 & Jan 1893 & 3.406416 & 7.897091\\\\\n",
       "\t11 & 123 & 1894 & 57.263434 & 68.275000 & 3.700000 & Jan 1894 & 3.969316 & 6.850483\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/plain": [
       "   Real Home Price Index        Date Real Building Cost Index\n",
       "7                    100 1890.000000                51.362340\n",
       "8                     88        1891                47.266163\n",
       "9                     95        1892                52.048155\n",
       "10                    92        1893                44.673332\n",
       "11                   123        1894                57.263434\n",
       "   U.S. Population Millions Long Rate   Date.1 Nominal Home Price Index\n",
       "7                 63.056000  3.420000 Jan 1890                 3.557296\n",
       "8                 64.361000  3.620000 Jan 1891                 3.209111\n",
       "9                 65.666000  3.600000 Jan 1892                 3.267142\n",
       "10                66.970000  3.750000 Jan 1893                 3.406416\n",
       "11                68.275000  3.700000 Jan 1894                 3.969316\n",
       "   Consumer Price Index\n",
       "7              7.611652\n",
       "8              7.801942\n",
       "9              7.326213\n",
       "10             7.897091\n",
       "11             6.850483"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<thead><tr><th></th><th scope=col>Real Home Price Index</th><th scope=col>Date</th><th scope=col>Real Building Cost Index</th><th scope=col>U.S. Population Millions</th><th scope=col>Long Rate</th><th scope=col>Date.1</th><th scope=col>Nominal Home Price Index</th><th scope=col>Consumer Price Index</th></tr></thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>824</th><td>158</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>Jan 2015</td><td>175.406000</td><td>237.336000</td></tr>\n",
       "\t<tr><th scope=row>825</th><td>158</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>Jan 2015</td><td>175.401000</td><td>236.525000</td></tr>\n",
       "\t<tr><th scope=row>826</th><td>158</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>Jan 2016</td><td>175.375000</td><td>236.916000</td></tr>\n",
       "\t<tr><th scope=row>827</th><td>158</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>Jan 2016</td><td>175.642000</td><td>237.111000</td></tr>\n",
       "\t<tr><th scope=row>828</th><td>158</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>Jan 2016</td><td>176.913000</td><td>238.132000</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "\\begin{tabular}{r|llllllll}\n",
       "  & Real Home Price Index & Date & Real Building Cost Index & U.S. Population Millions & Long Rate & Date.1 & Nominal Home Price Index & Consumer Price Index\\\\\n",
       "\\hline\n",
       "\t824 & 158 & NA & NA & NA & NA & Jan 2015 & 175.406000 & 237.336000\\\\\n",
       "\t825 & 158 & NA & NA & NA & NA & Jan 2015 & 175.401000 & 236.525000\\\\\n",
       "\t826 & 158 & NA & NA & NA & NA & Jan 2016 & 175.375000 & 236.916000\\\\\n",
       "\t827 & 158 & NA & NA & NA & NA & Jan 2016 & 175.642000 & 237.111000\\\\\n",
       "\t828 & 158 & NA & NA & NA & NA & Jan 2016 & 176.913000 & 238.132000\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/plain": [
       "    Real Home Price Index Date Real Building Cost Index\n",
       "824                   158 <NA>                     <NA>\n",
       "825                   158 <NA>                     <NA>\n",
       "826                   158 <NA>                     <NA>\n",
       "827                   158 <NA>                     <NA>\n",
       "828                   158 <NA>                     <NA>\n",
       "    U.S. Population Millions Long Rate   Date.1 Nominal Home Price Index\n",
       "824                     <NA>      <NA> Jan 2015               175.406000\n",
       "825                     <NA>      <NA> Jan 2015               175.401000\n",
       "826                     <NA>      <NA> Jan 2016               175.375000\n",
       "827                     <NA>      <NA> Jan 2016               175.642000\n",
       "828                     <NA>      <NA> Jan 2016               176.913000\n",
       "    Consumer Price Index\n",
       "824           237.336000\n",
       "825           236.525000\n",
       "826           236.916000\n",
       "827           237.111000\n",
       "828           238.132000"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "options(warn=1)\n",
    "\n",
    "library(readxl)\n",
    "library(zoo)\n",
    "\n",
    "temp <- paste0(tempfile(),\".xls\") # Has to match download extention\n",
    "download.file(\"http://www.econ.yale.edu/~shiller/data/Fig3-1.xls\", destfile = temp, mode=\"wb\")\n",
    "data <- read_excel(temp, sheet = 2, col_names = T)\n",
    "unlink(temp)\n",
    "\n",
    "# Collects column names\n",
    "dataList <- list()\n",
    "dataList <- unlist(lapply(1:ncol(data), function(x){\n",
    "  dataList[[x]] <- paste(data[2:6,x], collapse=', ' )\n",
    "}))   \n",
    "dataList <- gsub(\"NA\",\"\", dataList)\n",
    "dataList <- gsub(\",\",\"\", dataList)      \n",
    "dataList <- gsub(\"Monthly data from January 1953 for prices all other data are annual.\",\"\", dataList)\n",
    "dataList <- gsub(\"From fig2.1Revised2011.xls\",\"\", dataList)\n",
    "dataList <- trimws(dataList)\n",
    "\n",
    "colnames(data) <- dataList\n",
    "data <- data[7:nrow(data),] # Trims off names in top elements\n",
    "data <- data[which(data[,1] != \"<NA>\"),] # trims off NAs in end years\n",
    "\n",
    "\n",
    "options(warn = 0)\n",
    "library(lubridate)\n",
    "library(zoo)\n",
    "data[,8] <- as.yearmon(format( date_decimal( as.numeric(data[,8]) ), \"%m-%Y\"), \"%m-%Y\")\n",
    "# data[,8] <- as.yearmon(format( date_decimal( as.numeric(data[,8]) ), \"%m-%Y\"))\n",
    "\n",
    "\n",
    "options(warn = 0)\n",
    "data <- data[, -c(1,7,10,11,12,13,14,16,17,18,19)] \n",
    "\n",
    "\n",
    "head(data,5)\n",
    "tail(data,5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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R19ME+83RAL+bDcK0eloW9qS41dNOa6O7rJ48xAyZ8nqa0qkwTmensRWZWz2tOrbd4VbPGG93QMrqaWky7aC0evIiMCNZPSENe07d62mJaGWU19PS2DjoXs+tLK+nnT9ZieT1tIxshuZeT0tDT6TMnqZwWu5uT0iRnlW5PWP0TVINqBAYPnG3J5RiRs7l9jSJ9ZDb0w5L9HbS7WkKay+3JxTu9bjZ09LY4tfNnpazZSOvpyW56eOk19OS0D7hXk+rRaEhlGZPq2k9zJ68PpYzzZ52nVUcmT33fXazp2Vjjc7NnqbQ3iWzJ5REa4CbPU2icVJmTzvMFhw+J7E01sDd7AklNGYks6cdlsxxJrOnVbXR2kmzJxS2V5k9YwwrH5k9IXV7NNztiZNWmlbl9oTSWDO5PU3pNl90tyckBKe22zPG5EWU2xMKn0x3e8aYfcPHzZ1bgpIihdwk2CMFpXgShFa2csECinCuSXajobjQ8mvbRqn01/aNbsV9o+dR2aKup1KsZGc+ZRXZsym7zOso6wUOpbIXOPKpXuTA2InbVE1iC8LmqcosQxw2T6Mr4eVW1v17WVnPg/qqBEKy28p6nsqsrI/i9F0JXeWxK7EU68qgjPxaZtad8TKzmkQHpcysplQJqkPx303/nlkpbKTmR6Wwk/qsAh2xR1nkiN23YVlijxaHjVSvAltci88quGt2lfdy1ywUdqpyzVoSPlrYSPUSNzfNpiClqzicpp755FVm2aZlrX0qXmQGsJa3FlIK7r/F07oTubn2qbR6HmXmWgSOTWIXhS1YFXsrXmouoN2Au9PMjLrdqfOwbqFkKHKNT8VL7S7dvkqdk64RrbyWEV3rsvI+lVUR9nVy8prS2Ib6beFbk2pTotKVURtS0KGa0pkm7Hp4RmFVxDMKGq23Eo9Sl9d2Em/lcivxzjtioEvPjNIutcqYVqkzCQpIXmx3MmeLOp/n59Xah7lt+ZFR0ZRiXVpsQ3sZdUXqLuNSvIwrI5qbTcpBiXpRsSuVtsroaZoFgrdyQRrqKBmJjdirDs/D+iq1V61rIrTbkZzUZ0Z0UjOj00ltSqFJ+baOdSsXpDR0GJ/1ca9iF/32MjNUE7GbHZSNbOwj7CLSxo7dbJWwcC6C3WyVsKQiBbPPrVzu7D4PS6uEnL9DwWyLadwPPlI/lAv2by+kZ0SL+FPxUpfqfvBbvTln0+4ZN4WDnTzjT2XV4zSRn9nUVcLKYWu0VUCOP1NQJut3K8yEzBRM5l66yhP3VTgd098aY/0sXZPfrKXM5c50HmQNTM505tulqAtqd5MwEvNx4wP212/m0xJ907fXYAteBU7A3M6+lcv97CbZvoLs7CbkKsFr4TlHzeBduSDhETaJxhjQfF5oKWmXmWYNueCh9KiMsPCgQnOWbPGmtCDFy9zlXqctfiuXfPGmVJ6rrEL35p53L3MfQYpn4wZ288WfB1UbYJ+KV4K7UFBUB+1mwTyvfl4Vb6vAS/Di0sYjd72l0K3qWiVlm0QwDSJ6ptQiRcV1Yai489m6ad6SwX5L7q83hbaicLO8xRwan+W4N0W2InnuKUUlQvQbiry/cuGbwmsjE/5WzJfPauyMghZ7xeaJH/PlIx5uij037t03RRZmmfe35OZ9KDFJQIA8ahObileDQWzz93s93M2fVz3kcwocRW2RxasYstasRX31BcnrUTLPVlY92OtBQUAXCrsNhwlMUT51VUN+u6l4PdpoUrwefJacODClsdsQcgBJbSg01aPawvizIARTcpMyopSue9a1+K6aWUNhPaq2R5xLgBKDMwcw75tC3wskrGmjefYdXiiFGXEMdlTBFBvwwSWwHtUCMJ8NL5iUPFG1LtETQfGKuBJWPcQkOuFgkjz+QWGEqi4agINXBFEjKl6PRg8EJK8IayYswoQFQYSb+XSbAEPxarDjuiB5PdRPiZ2IRjWYQHTCBDEHedViyN+o7tokmr0EU9C0gV8IXkZsgg0JxSaDzdeESa3LpHDiF6boMOIXzzQ1f2VUVYXmPYOAjKeSa3hkTSBjK5cDGCZlRzJWsVVPAhhQvK7c2jZFoAB28VRsOh6geLE5h05m52FGfJ5FbUDgfMTQDi9jPTkOCAjjfBbHYQpHXfg/CvPpcluK7DCpOsfhhdbTCwOIxTS6P6swgNiMsS93tfAPSPFmIuIfUFJ1IIT16JoNiv4wgdESwB73zXzkHcZGQePpZXUVImIK+wUiIiZwQx1AiBfaa19Wob2qZZV5cNIhaCRG9iEfIiLZ5ipDYUtBIyaohE1lHt6EhJFA4dW4nCOBJB6kscwecXauxJTupEmqzKaoT0ysIiTumUKxFj2sI/wYaOKVYAjZYRQo/ryLRoE0RG/cr5i4Dv0sNgVKqE6iWAWmIoe22BQoGmfIpkBo0QWrQbrV5ISmRNu8FpRhbAqUyHFHbAqUzIcUNhSUFi1Y5eO/c37rtAoUjVSiVaCoHxKugmikxnvyKhAETAlXgVKiUlh0FS4MthBYUm7mwvCi+JWI5u7US1H5k62HPgtpgZLXUfCIQqlsM2RcIPCuGfXCOqTF4BB7mdfJxz9YUtD/T4WvLIDCMucFgk2JhS7ehnO3OA+U6IJts6Syrrn2WVJZD+eUWOiiVYMzNlCEOQmxgaKHSvvRMVUFrS8wNnh2IDkbcqse1XpaKjVSyeJgaMGCUhghczQHkkZNkTlQOM8TmAPhweXEZPPlz4ZwoKixC8KBQr+SQzhRnrHPonBMEWsAO0tkRp6EJW4WOvoYg2Ox+OR9sJM7ULgJczm6g6C4HkehO1A0FRK6Y4qyLtzlSn11OvC33MyIuwOO95jCOy+8xxQXsIlqQtUFqrZYMYkVa6pG/yKAoIjFEAC0lcsJIErO+9heHTLikysm6JnGa5GELQgKOs9GKsiULMGroQm2oCAoPnmu7N5MIhN0r0JzqxCKl1lLLxhgrMzDGxC2DxALQdfLGX/VDiMUNinsJ1iRfUyAwiIPbUxckLCpZRJbK3YUBjNiZBIgE8s8FjbEfXYoRQP7lFiPoSHR+ScoopYYooXAlSgUq4YZE5lNZjXybcEvpNFOab4VO4YCsgkKG9AUrBIuXFCsEvleyFS1NRYUr1Y10gmKBsRabSMVig9/ArQgaZEiQAuKZqXis7CBdJ94FoSooUt8VjTnJOvVVYtgwxwV2/CFlZJPmIAt25pSQxSxFc1daWmGqhEVxndgK5rdskgZTKLYqhNbkLip6cQWFHqAndiKcyCjY1LAFoQkek/EFiQNySK2om22ZimsRdJWmwNbMTMM8iHDhVAkJBW6Rev0oWgRRYgLggZlUVxQeMUWxQXJ6StSXLabp6pmVqP4vRDFBaVqftmyqrFWnuK6oIx2cF0RpgNhZ0WVqFrQX5BYi6ptV4e/oGieSvgLQtFPVqH6u40cBoPU2W8IBotmGk1S7Nw+OjgMFm2AFnHXVIfmSzNsRFTb2FTcBPsQyYQgpowEWcy7mxdDZpLovsEqdC0hmnkU8Jsjpxm6BnORPxumGVah+5Sp36zC8DsFO5hVYWiTGArua9zWY/Br5oPATIAdQqcRIvs0FgLrMHz2I+jNFK3esCmRmU/lJSUHxzRFAmsxbPX6WRgcFCIZjsFBQcDlszA4KCM7GGe1KL6v7hScKVlAGUPxJnFh3+XnQEZOynktFA7FroUqUTT1JjwHRc1d7JxdVT5rYufsynPMwaaFanEr+jglr4b6ZmxaNCoKPAm5s9MLyyNyx6uqirVVDb+K8qVkLk4/C7k7byqRO9559s5C7uz8BBfHqoe3FxJ3URNHKtWGmOHuBIfwLGveIDF4MQ+nwYjgWQm5DsK2xmA+jiBjZ0PVoCPHOT07jMOyOL0zo2CW6305FrnH9mr3Q6CeFSifpB7vtGN5wYaU4TE2gXpsi1FprNRoVIwoCdWDogAjdjowpBS3Zix4D5LutOA9U9hRYKujjC8FUQdmxIdsSqgRM6pKZPU4FFJ/prQhBdAfFG3HOPYHSSOzuL9ojnMqTRUJHoSdCusRNJu4HA40ic+H2EAmksB6BG/5ogUtZ1GbxAVN4f0ZtkAzgfHmqbAWQXvwUFiJoCfxgsRaBPdfCzuEUvQb00lznpCjwK6IqsA1+eUcokntBBGpJCkIBppC87XQRMua8WdHE3k2M1ZPxavBcQUKVkM8f5ViHpgStCq7nGiMJcpn4UQjFN55KCgtFJqgATSaK8YAAJrPb1nNSnT6TyCkKaVIYUWitubwWkCzxUBhNsVCsSbo7EXViIpsQ2E1otNcxCkj6QPLptLJU5ICDA5YQuHjA58sK5FWtZr5ZGAtG8pHdjks6aqSmLUHwuBBXVVI2mtyUBOKouH+JpFoRE9UIvPJQCEFQZoTAh9UpzmhaObrOKe5mQj7BQ5NESvB4orVovhFFt8JZZGOt6pRNPvDWxPMKFOKg6xTsXpV2X8gsBJVHDsUVoJ7BJ/FiULhZjwxUfyuJyUandxMKn5TryJGFIIuJxFR2LXUQoWIQtGYAySUpe+aK4oajVo1fpwahTAEuXJ3KxYfXpdBHpIuXbHCD+28CDSFwC05B01j9X7ygmQuHywiVQNjT6OtGKsEq8FUBH8KPYXCgOvl7CncZDTaQEEValT8yGFUKJUXmwt6c6B1XeFOC81c+d0ENQisQuBCyHlVKHrExKtCYfu4HFiNAi+YyBw0sKAJ2LxVC5/VO9QKRaYGh1pj9Xm9Q61QhC0LajWlBymsRtHm7AXJ6uERJadcocSlmBEIPjWhl1HV8CjP5ZgrJEZjnHKFn0xXGiZBDC1z0cbNK0OKrBpj1yypHnqXp5OwMIfpsY8kYc1PpqoShIWSBZAShIWirlx7iFD4Dk4HYd1SRsX8NG0tS0EUWTVaXLAu0Vizh5EgFRoLM1hREblpY26woozk4215JWqqR1Yf57QsTFxckTgtC6UIIxUuCxcXVzbZQvzRFE6hnJ81E9dwXNZMN63byvJDONacQW0ojusELV1URYpVpN/eiATQwvvErC+nHMwOFZ2yNfcQzE88ilgtBIc/SdWa0UmPmbBaSIPQnbBamJj0eAirhT9JDU1YrRmN7kXash5tYb/kamEQcmI30U7Ux8qapC1sPCRdF2kL0w79tU7aQtHTINLWbDyexKoxuAtu+WTWY9AM9jFUy9w7IwofTFy0w6CjvkF0rpl4ijhb4rnm4rEuzihuVGN4xMGBXVNE3hLYjZoQfwjsshrJuT+FY00h0yeE187PCRJirZkZZc0SRPVasTn5QtxQFfFr1ldF1H0K8zUlifwl54sLImAOYTmrSFQg38lfKFwZOPkLxZt1ls99+BaGs8B2F/mSB7HAZvNqzIgsMJrDQf6a16d3ObWcBUa7UicrFtg8bWyyYoHRHLmvcYkGtgbKKysYGIq6b4SiUI++ZgHCg9HQq1qR+ODjaRAgbN7Axf6aZalHJ8HFB5vHUVMpAcJ48sl4ig9G76AHRngwFE1CiAdD0J6B88HI5skHmzGzSDD3DzgiodFGB5ugLjaLOmha3TkvHBl7+Sxc2GyiZP1JC5u3tCqXpio0PVAK66BXZKt3fhhJ/GYZPwxh+E0fqkFfV3SwCq1r1BRRbALnRSSK7VqJ/BU10ZqmwQ4UW2nYAxAoNnuuQFsDis3Bq5dgYPV0U0o8JqgG2WFmUsc2hnDGK+jYjnGoldSx5axz8wGyEYNjCOf9ELQeEHRs5eNuilPHyEdLL1HHUNTXYKMm0fRsMSLHkM0pHVUeYsiQNPAKQ46Ke34cQ7YBNDqX7JXgZH9hyCgiHeSOIZudOTp0bF6g1tRlOYYMxV+kIQzZbpcKVOkFam1RvwSTqRQprEbTtqeDyZaPpeisRJM9zqnkyOFeRDKeBW1bOJIcGej7vBxItpFUIDqBZDzzfq0IX0FpeseIGGVzCLMbEKNsiTiSV3IlpnC2IWgZClvB5SDxmYjUso3SXD+JWka/pKYsaBmdV9AkQdSyDdzDD2PW1VdZS2k+/zjS0G+1OGY7jG3OlXH720IEMptSvgSOd3852hxD/YJ6XTnQ5p1oCeEbbd5plhB+QJt3oq2EH9DmI9VSwg9o8061lfAD2nzUbynhB7T5l65C+LPQZmOw/jOizbiRmBkttBkDnXj7H5Nw28iFM02ir2CnkXCm4Sp8J/FV+U7Bc+8Uuyy/GkUMJG5UrPZ/6UYDDW7V0ODupPBdvnji2Zm50v89dngDs3+SHca49Jeww4ZWdGyNwnL6V7HDITsnzHTAgDdHfJ0g8a/DEQd4rH5djrgEthtRxMVfICKI2EKvr4UQI1xqq24RxFcJsuBprY2ZjY3PAohL0FAsfhj/bise0cP692vRw8W3m9XhrjMSHi5BM1uhw/ufuUNzIXpr0wEnhzGRIoIrcLhEzTycG96CsGFkwpCEY8M7V1HDSGGZChlekV0nhpGHzSIdGMbv++SFLfRr6KtoYQhMwBgDshDRK1Z4CsKihQpjdpfIDnMlaIFWK4c44av43rNGJ8y27I45JlxsQQDal7Pd4nNQR4SRBSPyjgiXrMWdE8JbECCMl2PxAokPvoq/BNAB4X2M+ODisIHTwYdAOBiZsHkJDi6+FBYbXPy7OQKDMbENJxeM0HS29uZcMK6Y3RfHgs2jZGyJoOCStEfgTPC6yGt4h2JgiYjgnYd4YBQ8nDjwusqX48DF+QHRwJg6k4QUC4ypM+kfocDFvWGXo8CY74oNZkS4NO39OwesGfHGgEtbKJIw4KnQ8uwUcGkKCPknX44UhIJXiktQ8HEICWBzOjncizXkQ8Dv/nZ0lfSvC87+4regYiN/97/bsur8iSf0Ok5AoHenqF8nIKh7HICJv35e/I0HoLgF2MnZhzAXvUcOxGaXcDk2u05KSnb/JCK7cxD+eubAjal9CNnXfV2Ivpb+Rb5CIE4l8BXC+loMYiKeQhxscXecY7BLuByDLV0fsXII9iFYwbsiSY7AlmV7cwS2aKHt/Ct+E6QU/lq6zJf+sZnSNUNfqOtSnHTFauy1Mdfjp0ol8E2E6/VQcLa1ceKAKwQCr2RZz98IAyKLysdBJOtKIWj1/I0Q7z5AxCoTXBtYPVKEVaqq31jUnb9t8PADLodXjywYrrQh3vFWxEMLMcsNri7hckwVC9mTSD1/Y31SuoJ6EFQubtBBUMF0BHnV4rEpp1UfgoqlHRvnUJfiGGrp/jIDcaEPAQHQst7O6lgoknSlsDw8hQOfh0DeEwK9LlAw8CzF+U/5Ljfs+RAQYStugl+f9VmKs58QiMKK2HwIOg0DnAvPXIqzmMVNkyAvESl8CIgT+qJhsZkuOJlZhvZbRVUev0lQQqjKYvhJGCASQLlSOD+5BKcny1Ak8nI0cikORpYhlxaxyOLvi3EqcgmXU5HYlqRPSQTkISQ/LXdenH9cguOPEOh6EP34EFQuWWLEPkKQS4Po43qVp5OPD4FHyOZMyLGM9V52QY5LccaxDLefCWB8CDyp3ofiAGNdjiyhiJja0fUqELH6G0scMqz+2pXFGFZ/O4rjgwg0xSoBF6LejoaJHazb/iJ2EAopNGKC1T916JSg/MWfRQnW+/0kAuttMY7PAgKrR8CdB4QjuXkKZI9wk8Ay0YDVXS9iAWvQxNlRQAiEykQCytT82SRgDW7JFvaHd6nScCzqD0J3ng9hMkyglAd39SHQiynir7ptxYG/6h4Vx/2qO2Qux/0QlstKoaLK6ivW7yEgpgah6oKw3VdfFjnoV30V5JxfjU59ivJbwuUEH/bji9N6eCRt8pclYJJfo+a9Tu/V6CS+03tQWB2xew8BYc/qDhhH95ZwOboHhQ4qgXsPAQFOGAMEpmUva5NfVJAeFCJDYvRq1MLHMT1MZumZFKYHoT0ovepbow7pQWD3JUYPAvEVIXp1f1VBhB4Uem8F6JnHXb/xzFXfXvSPI2ESLaSObF5Nbm0VmlcXWSMyryYHvwTmmcXhweXV7P5PYXnV31TjVB7m4uRM9XWlmpf5WpxeXX5oUXpwSdAAJ0oPAp8sQXp4CZ46VhF5tTh4IiCvLipYPF5dLK9wPDgmBLyKvYM/ovAYondw3a+PM6FbrJrFOndX62I1xN3VqkmqY3fVo8ai7upCWBNXcLDti2AShVedxRFxN9cX+kiEgDtYMlQ57ivB1e/gnOF2tWl0d9quLg5HsB2E5DweYioQdHvJ2gkM+CzUrjY3Eou0q75D6pxdPVBJ4+wgcLgSZjcFjkZO2dXukLMYO7EGH0Ps8C46jURC7OriI0XYwXoyPAXODhBBPJrZG5EHHfjC68AlcITQt6Bq9xGCuB28K+LmDLarND5dnwXb1cWpiLWrQ+MBULs6HFclaFeHv4DfQbu6vN3i7Orwfp2YHVaIt/9GoeGM0e0RZtf887BO2cEYw56RkB2YiNb1G6VutxssHbFry2wqwg4LTRprCdi15RkVXgcfjbIgXYc3M+l+MZpgsb4gAWGWFuUIcNgONht1AmLtWnRaVahdi44KCLVryTEFkXbYV8zCGQnawZnDQUt26ZacZhVmZxuN+C2iDjusmpGIqMNq9HbEDgs97LDqQ0rk6Zq/ftdpOluNirMiTbcUp+la9QmWaLq26Al95ApbsjLyC69riz8XXdcWhC24ri0qWmydIRNC2YjS8faLooMriA+0IDosadlghNDZZneRgHJebXh7EEHXHMgVP4fffMJFz2HZy7OSnbvMf5ClWDH94wLOzjVnrATOWQiQRxCcQx4ajATOdTrcP4ubw9o5OUiH0QEbVpyyCZq7YG+i1VzQHJbXuoDc5e+3wl9OzNkC/ATmLJMkAWXHb5F4BMN2pqLlHgIGJbwbU55qzW978OFL+Fx3+7TTc90/Ye3w3GXB/SoFdw2USHRSzgofZEVxdK4Hf1uBwLlrmbkcnOtxIXnk5hAuaC6g9F2Ra2fmQJlY1yhirkdfF4mYm0LVWRnV7AsGFh3X03p1gOi4nhb1R+PtIZBO6ukd/TcIsvk7i54jB4cQhSBFUnC2cU6BEFzfXxvjUNfTepIFwfXso5OGpZ4Xp0YCrmcfoATA9fXiNqfdevYRSrTbeoGxw26PFMMSONwh1A25CsAi6dbz4q9uL6q+5kbObf1emBtiMELIghdV3I2QNuyyCKwi0Nb9lTqXA219vTaGPFt3JFqujl7kGHSWrZeFI5JcgzeA5yC31hf6LGqtL8xZ0BponriAtDla9urrBjFrENikRKw9BMw4utsmLwFrvfqMX8SaWQtdwDMNcxdn4sLV9E6zD1E0UFa9OW0tNg1wkL6tZmhaX2+KIJkGVGjoapBM613mF+fSIDAHc0b17og3qbTuHx+6nErr3ekcMWlTUDdGJA2fls+ewIo9/FMTTqR1f1++82h9OAdMlwrCZBxcRaMtS+XlNBoiZ+xvxKJBEOllKNpYaI1ItHG/BWcRPxjrTQjC0CDwpQyi0Ja1wyG0EVbfIQgN4TmH0hCRGMEHbAFo8HDyoRaANuKKbghAQ7iOt4342eM3SjQWeSr4DILeeST4DI5G58ys6NEjFQLPRlxAHbkzGCUXY2ZF9w08h85gwOSMRswZTJrFATMsTkbymIKIs2XsdN4MAn8TNxvJ17WizYZvT11Omw1/M6ezZmO9UUGo2fAXWDpqNnxL63LUbPgL6xwrG75x6FTZyAt9IlQ2jg+ncRI51mu09DG44eYjZ8wQAS0OnaHzwvvp9HYSIWaj+JtQRJiN4h+wFGA2imYkctP678vpsuEGJ2fLhtvuHC0DBsZoj8iy4e9cupwsW4pzZYjN8l4JIht1gXfs8kZ1UFME2ag+qRFANnwLz/kxmCVEcBEfG209/aLHhn8twuGx0fzpFzw2ms8/xI4tYbFjo+n9Is6OjeYvgxMoNtbLF4SJDd8FuhwTG77J45zYQ7CydnFknEThpzNIRMSGb1M4ITbcMeOA2PC9D8fDhoL/l9Nhw0PsDocNj0I7Gzb0fnEHw8YK9joYNvwt5c6FDY/uOhY2hlMKQsCCrsJnfwsPEucCzoA9FZwUCpe8jnyF2638l5gvKF1EHv2gpvArRWK+TGkn8wVFr9kQ9AXjhGx7QrzMSrGALpbQo6OOeEFxm7wQr/OwwRJ6fNSBLiicOzjPBUUwinguKOy+xHNBcJKJPFfQbf+s7/VBcbBPPNec1DgBR57rKbDE0b9XJZ4Lyv7IHxZXUITUGM8V9BbGzwK6oIhgJMG1Bf/KX7iXPV4IV7g95OcEFxT5aklwQdALWoVwmUIrvBCuUykq7/7wX7Hyprd//tD6PPhiHDgjwgVFYBgBLhNoFSbABYGd0uUEFyTOBZzgeirobcJd3mL1Gstf/CvCDnBB8u8fkuDaiRzgglIFwHVWofg7KJ3ggiSTuQiugMeEHwMSwAWFG0kOcEFxjFMElyUiESKC66lghxgKG5L4rZ3z5QAXJPVzArigCGQgv2UlZMMRv2XlYS5RRfbIoLNap0JWyxR924+sFhS3JgvWgkRrssgsCAz+OZn1VHC77SB9yVNolpmomIZkVri7Q3ois6AIexWZBcXxDJFZkEQ6iMwyhUSmyCw7jM5kkVlhfZd+kVmQ1MWJzDJF3yhsqodHEJ3MsjJ2lYhGhTOjrooM9XFOZkFR/yUyK1g/xiYtMiuEW5MrJ7MCO7LPArMgqFMRmGUK9+IdzLKjuidC3AuK7Nwis0xJDl1ZNdBHqgsTmQWJKyMns6CIdRWZBS+caKGoWoQFQArMMimdYJYp7MUEZgVsBAreSqpGXJ8HFZgVsPdHMFtgFhR93kpgFg7rwo6yqhH19oFFZuEwBhGdzLKsg4NYaE/BXj7qaTD5gsvPP1kpNAtSFr9UVRF/Z7KjWVD8w41Es6BoO9fRrPOwpopk74eEZu3zO5q10yw0y0p0s9hdFdnn76qIT40dzQqhrOYoNCuEqhcpOJoVwvoEo9AsKHFRV9gCsqOa4BpaC+0wfeTvVkUWiCI0C4pIQaFZULyvFpoFUyWn+I5mQVFTF5oFZYgIiqqH9w+OZkFhmN/RrIAvy4gMI5oV1udEHM1Cmuafd0yqx9BM19Esy3pBVvBCoEAiloVmWV2FgwvNQiLda7FZZiDV+clmQeEWuNgsCI4si83C6Z9sFhQhPoKzoKilEc6CoFdXO5xlEudtorOgCC0RnmUK5wPEs+wgp/KaatGdQRKfhUsmHFh8FhRvQ7Y/AyH79RmqxfAv/YnPMkUNZrAWfpT4rLC+a7QALZNE89yqxHCwk4AWW4ITW4PHaHvQAS20DXXUIrRCdIhUhFZYn2hxQguKMy0itCCNx3chw/qMiwgtS1IdtbI6xDXTFKAFJZ58liWJB58FQSim+Cw7kfBA8Vl21PBE2IOCwl6CeFbAp+2b81qsQfIYp+NZJulbisSzgnbjPwvPQsb6jmVVFdLCi0VnQdJiTV5UKFqtic6yw7IE1iH5x0SczrI0xQEs1UJfYBWfZV7sKgGPBgT/4KkQLUgaH+TLCuujC85ohfXRAWe0wno3/2K0IHE0ckbLDjsRLTsXO2whWlQsG/FYUIQAiscKsfgySjxWWK+2dhwLilPTYq0gMQh/Km1l5IpA0aVk3+B1HiusTz5sxffRt1Jk83JECwoj3tcp/bXUVu5fuFLu38zWSuK/0zextVL47/QDr7WSLCH9QGvtNC6kH1itlWYJ6QdSa9fJhfQDp/VjvdOfRWml8J8T0sJLtFrZjBYmf+yt9ycYVxJ9gXFo5rlSyGqyUizryUrRaZRfKfT7SDHo3Vsp9PtI4UVbSc6y/moQF4b9Fv49iCuMfEBcsdb/GLK12aQ/iWxht/Ev+tyj+ZKwrxZy+SuRrUIiy0irqYd20Fn1+ksRrevfADbi85QKZW5kc3RyZWFtCmVuZG9iago0IDAgb2JqCiAgIDEyNTQ2CmVuZG9iagoyIDAgb2JqCjw8CiAgIC9FeHRHU3RhdGUgPDwKICAgICAgL2EwIDw8IC9DQSAxIC9jYSAxID4+CiAgID4+CiAgIC9Gb250IDw8CiAgICAgIC9mLTAtMCA1IDAgUgogICAgICAvZi0xLTAgNiAwIFIKICAgPj4KPj4KZW5kb2JqCjcgMCBvYmoKPDwgL1R5cGUgL1BhZ2UKICAgL1BhcmVudCAxIDAgUgogICAvTWVkaWFCb3ggWyAwIDAgNTA0IDUwNCBdCiAgIC9Db250ZW50cyAzIDAgUgogICAvR3JvdXAgPDwKICAgICAgL1R5cGUgL0dyb3VwCiAgICAgIC9TIC9UcmFuc3BhcmVuY3kKICAgICAgL0NTIC9EZXZpY2VSR0IKICAgPj4KICAgL1Jlc291cmNlcyAyIDAgUgo+PgplbmRvYmoKOCAwIG9iago8PCAvTGVuZ3RoIDkgMCBSCiAgIC9GaWx0ZXIgL0ZsYXRlRGVjb2RlCiAgIC9MZW5ndGgxIDEzMzQwCj4+CnN0cmVhbQp4nI16C3xUxfX/mbl336+7m9cmu+zezZLlsYFAeIRASm5eIEYgQBKzSJqEEN4IGPCBCKsVwQUFbUuF+kCrFazIzSbABmihQm2lIlb4+au2Cir19RHBfijWCtn/mdndkLT29/nv3TNz5syZ17nfOXNmEyAAYIQwCCC3LmtZAcHLLwKkd6G0pvXOVfLeo+ceBcgQAbS3z1+xYNm4FzKDAK5VACZ1wdJ75l83/WML6r6MbfQL21rmfTKvpBJg0ECUjV2IAsco/dtYnoPlgQuXrbp7yBPCWSyHWXnp8tYWgHoca9DzWB68rOXuFZq4YR+W38CyvOKOthXPRj/7AstfApgLgLLJavDB2eqgvIuSC1pdjO5Q0kAjXhDAqBMvEMjWazUXqHCEjgQD2UGGgzMoXS25XjJNulIy9XoJlCIvXcNk5Aif3WfPw4SACNdk4dg1RQPfgSweAyBwDoB+pzkGRmJVNwQbOo1mszlGlK56SDFGq8mUkKQYo95iSUgSjOKrFxSLffQScT3dSnfoxZdFYgCthgoGDTFTctIIsfgxxejzjx4BRMZRY/HzXZJE65D5QrHbbMi5zWZMrRYLl15Wsm02bR1IZjNLLRZMc8waxWIbrWF9WVlfGiJrFA3VZJsOkRKyAU0wTbrQuDKIlggmPlhIWKM0q5jYi0eOII3QGCSJSpeCczNoFY3GQMwGDThLSx3FBTmn7I7iESNDPr9dq9WNGTu2aBT9rqvsTO3PPipYJd47ca33lcknm/AVUaiLfypmo+08MJTOZtbr0NKK2oaDJq+TQJ7dGYtf7WKrQOZKF1uCky1sMFuS025mAjtfn91pzw+aBntsVq91ulWwWtOhhhDC1mmR7No6InrcllxPugZKL5ZePBFsLMR5Nl4sJDjT4oJgEL9B6dTZU9L7vxs5wtVB/20SX3QxAzNGGcrMi2MzW/+XUfuP9W9DFfQdSJk8PueWTMV/W+at/vnC0sxlOQv8a3Lu82zJ2ezZmbkn50jOF5mfyFfltB9kPp25N1MYP2Selg72TLc2WanV6maDkDM1DA10YRcb1ls2KH4FzGAmCtSDN/53MIEpyf8TLGBJ8KQYTH30TPGrvXqmPnomMk6xOxUGFLSEU3JS57Z8EiPj9sP+vBS481KYzktAubM+r92eAphsV+zUvi34+81sczUGL6Kdr1xEbiVnGaGVrjdeKL3IrTRyhEorVKWm4TAMip8Hf/x8p0/WymQcfkLQuJI0hkKu/Whik3VwTCjYvxRt7haR61rqtqTnIhNdms5wGCwN2tHazPaIxLSizMxRhRPpmNGDtFp/LuYwqjDTYZcolgJkdMCfq81IR5WxK/Zmrm2ZdV/NWDL28LID14juta0X713z9XMvv0f/+MKqu6N71t73LJklrbn9lvV/XmF21i8h+j+fI9LOno97/t7zaU/nK0eF0T8/cOLJLfv2pfBtR3xLMID0cHxzaCnGHI+oSfdYLFmGWPwzji7GKNkMXQY7mPmGzuQb2sw3NEPoKUxOcVQxkGr/s6crfLMg8wnfLMh8pWSbTFrWZcIDJL0Bk/V2eaNPZZqo3Ug3mTbZXrdqDDqTk1al3ZJxc3aFqzZtTsac7JmuJbolpta0pRlLsptd99C7tHea1tg2ap/QbZded75H39G+Y/qLLad3SmVSH5Rl9UFjVgplir0+q93AIWYgYJAM1FBmxEYpRUP8s4TiwXrDNq89BTp7CnT2FOjs7dxDmhnoQEHT93phfcr5JlQP1MM2TwKPzL1xDDI2CcmkKUjjSmhMYrFLK2dLbnQ8USqbfoOwzERyINmQGDLHMXyGEJkdlnSORYtFzOFYFJNYZBiUHGMRdJmODI66QYE0iQHOLiH4dNq6JWd23RldVb74zLNn73mse8/atXv2rFt7cyM9Q0Tyg5ebOnvi7/X09Bzf+8RB8lTPzy5dJgvJ4q8WPYR7vwRA1DEfSgfd8KCKwS5ZnGlp2joLg4XdzpmvFIMkIYd+w8PglsUUPB5W63FbscbDfaonRg+jZzdmZcleyU6p7EXfVXCWufWCU1DAzBQsZemJwl5vyQc0OxyUD6gYbHaaGue8YnKk0TpPOpOxvqPYNYO9yUTrkPlS4WfW943GsMnGY6PxwZTJEzQTtIc1R7WHdb/Xv+7WTTGHzLXWJeZ51jWONWkPO444/pbzN9flHPNR08E06jFKeq32pDsn3e3O0btzBEL1OW7B4pFi9PnO6XZijxHnfjZPYBPrJNRs7AdaYx/QGntBa6k3tmedwcOfAZccpveDDBI6S7N9fyltosvpeirSQ3QgetqtHQnXx7xesES6ksAYRhXc7dkd7FTFZKN1eNB6n3SCnRK9TlAxuCS3NEDySNrfxC+DDuGmx9yAlEId84qk8Q7EHnu1FpdOZ6GemDCqayk1p1v+zR/aRyXcYV6GL1CEx/LYsWO469MNGsugmZGOxzV+Rd21IpqV94udl3bvuPeBJ0l32j//dObqTS+++twcz969ZSWtx9ad+Nv8JT9+MpJ2+t0v9ja8dOT5TS0j+Xmeg1iUNIcwUrRQN0PjETDH/5WwZle9RZvck5rU5tSmGENvrJRiNKktrk0xht7oKcXo9EllfYrRpXa7Xt+rkwy19ClGk2K0KcaQYpJxmVJU72gwLzTvNO8xv27W3CLcYvmJKDgQPGDWCjqN0STo0MFYLCcFMV0QRMEC1GwRdcJhehj0GH/uUowgiqgCJ41ijM4/qNEYlQHe0cZU2GZM+GjOfMWdtTFGihSLTsn1j9aFfWN022yUOTSTJX00UInKVKCsMWuDzIUDrA3db42RLRxhXzJfxvzYFbY7S6RPJB60YSx7tcReXMyjj43DgyJizGazoYOrmNPQDZb4B1FHMe7Ys4ppVLGQO6xYEAcMKGFdhDDOQx0l3ayYis3hmmKzEig257oxH1bMo79QMgrs94Gg64BZNGgFC40JhQeZKwSzmAoNg6NGFSZiQ7tvDBllH5Xhtwt2Qrdff5A+9ePXXuvqGUOaXhAOXLv5hZ5ncQ/99PoSjqupeI5moI8bAEPJ533OUa+NeEkTEYhrsEexEIsFHY5Lg3GRxejB2E1iroifqZInS2JnapbEztQsfqZmJQ9AFo79jvt9HoNIJxqZoxm2JJtU6pSMyuxKebajVl4izNPN0y92zJNX6Ve7N+gfcr+jP5tp18nsRQxKvBptnZ+5OxfjfLyCTavGQnFiLnKmKRGpKYbUJFksFcVYqp/LyevjcvL6nJN57RI/JyUCEkII13b5IDvNpW35iJ1xnZ7UzvGktocH0XyY9+MhxYqlNKspa3nW+iwxS0oqoDU43K31WZmsq6xMNuesGB3YGew9IoONPFRDPnlEXrnIjcXdV7+grZu5qK5Bsl/2oRkS7ol1wK4MPGzTGC2JsM1icfForWtpusWl4W7K9Z9hG9EFBvHTUatjDsrBHJQ/F+xSEXNXJJ0FdUkXJnzX6cyfsqS+rG4uLTuyoOv6XW89+GHPhace/mzv+9eLpj867Y7nn7t3zUviLOviEVNHTPzqr63NPd+8Hbm4jlSTtWTPb3e/eu39xpdCsaefwMBNgFnJe0kW+GEEfe0G4rrM4PIMZxsTz05aN3y4w+fRagZ7HBaPgd8JWBR2gEdxQRu+IR7a2VKHHWN4pc0psErmCYSUltALVmFghpmpZ/AeMzhYM25Ea/1DQbarLhYX90aEB/lEtKmJaBMTucAjQ1vKcSTHZzJkrim5TMiGZS0zeBCQwVd6Y32pwXAsUpCcQIrYfpk6JpMMyZySOSXwifnzERrDCHIf3EfWiqv0K013mFdb1mRthgjZIj6kv9/0oPkhyyNZb9hfS3OYweMEM460azjpY8x+O8LTZ0d4UjviQL2n/aiBGMocdAEE+2gH+2gH++yfYLtNkXH/2AjYJBu1xchjXYXO1KZxpjaNMxUmOttVgQgxuqBzYEppYEppYCrsHNie0XvXyVAyaMa2kf3uOnzvSFdSO6exN8R0FDdyUzK/3GcD5cbPR91yDm6fqCwXsGyYHMCsY0jiEsT3FB74K2ElnvmdaLnhfEO5XFrHYL6hHBatj28obZ8NVcx8LgkExoxOHvS6TEwBNxNK0tL77KO+m4osXrH0k6PHvliybOMjPVfffbfn6mNzH1qycMPD8xdsGj9l26z7d+99YP2LgmvIE4t3vXdu1/yfDck/selIHAg5tvW3pHbhgz9qat344LX41G3Tfxl+4KXd6MrRA7I7kU/zS4xXdfz3krSUdR0pJs2cNLMjxaSZkwe0A5lu9moT27EbCLvisw1C3FajJyPD7WDBq8kmsuuwlYCu3/WdH59ODttTBSlEXz8hnQgyCI92cOTbeFqdc8+AyIDtaS+mHTe/Y/6LS29Ic1qH5ghpxgxHWtpJqy3dmpZutVkwkFTS2NCKdRe7lduUDJKcxkGbSM4ozOkTp2JnE7I3Scul9dJWSZTCun4Y1/VBra4PanXt/S/guKsP8h9CtsmOI2QM2MhPUXNc1LqfHCLjAFjI0HsH2uaNkcc7Uni8cvFKXy/eWNL36o0oaZQuShc26ocHNRgkQN9AtMswQjPCdAjjTyHl18nKRowAen8GAnBb0qwYx4sZRg7IjAxb78Xc5sCINLrUJt4AJBKe/va+1/PeYDTNl+ETEKeQka5j9/O6X2fsWPpA194tt24ZvOdR+u71g9MffOwY0a965MofrpOwFNl84rmd0emlmfTrl3vunNNz9U+/fyx6noENTSDwPB0Iz0eDiKE6Bqn4oOSyPh7HFOJxCZIaWnDz3MCxytqLoEGpDvQY12Yj5WhehGwxAE409qdIn7G8Z1H8M1bPcvoFto0lCWA37CWLYC8chVfJZWy1D7qhC/6AZ0slPAlr4SewEfufjZKHYSY+GpT/hGTHu6AAnsXxn4VTqHsrrINDkEmc8c9hPWwQzmCrDYiSXCiDGlgOj5Bb4qthDpwTfwRFcAvcDitION4QfzT+ePx5eAG6hT/EryPCcqAVn1PxrzR/jv8VhmGLn8IOOEceN+xHyNwKYdR8Cu6AnUKjSOILMHgXwAd34RxEmAqnyDEaxN7b4FPiJGuFCuzlF3E1fgK13NAIC2EnHCJjyGTq08yJT42fgkwc427sdQdE4QA+Mfg1vEfMmsvx5/Eakw35MAXX0wVvkmNCz/X7e0r5T7dOGALFWLMcfgO/h7eIn/yWLteYNYUaRbMmfhbf50iow9m+iC0/Id/QdfisF14TJ8XLwYp2eYxZG34HH5IcUkCmk3o6BG9lTwt3YHSej21HwjxYhPZ+Anv/gATJAWqmp4VfiL8Sv9MO6Dkft+IbCcDP4Sn4LbHgSmXSTh4g75CPaQXe735OPxJ+Iu4R39a14Kp/CMvgEfgVfEMcZByZQW7Dq/laspE8RnaQU+Qt8hkto7V0Cb0kLBRWCr8Wy/GZJbaLP9I8pNms/aynoedEz596vokXxh+CGYiH+3H2P4WncWXdcBrexeccfEQ0xESs+MjER+rIvfisI4+Q58husod04ShvkY/I5+Tv5B/kO4qwpVrqoj6ai4+f3kHvoj+hT9LT+LxFv6TfCllCrhAUxgglQkhYjrPaKGzDZ7/woZgjnhbjaOdCzXbNM5rdml9pXtVc1pp1D+hB/8a1X1wfev2DHujZ1LO9J9rTFf8QMvAd5qAVvFCCs2/BZzG+7+2IuH1whpjRdjlkKJlIbkHLNJHFZCW5Gy35INlJXuBzf4UcQSv9L7mEc8Y7I5/zcDqGltPp+PyQttGVdBt9nHbRd+i/BJ1gEmxChjBUmCw0Cm3CKuEeYbugCm8I7wsfCVeFa/jERaPoFXPFgBgUJ4tN4mrxafFT8VPNHM0fNX/TGrXLtA9pY9qvdWN1E3U1uhm6Rt1W3QHdWX0zovM47IeD0OdDzgv3C1XCfniUjhKz6Zv0TcRzE8wTplJEKt1NNtH7SBcdqLlbO4FOINPgshhAW79Gn6FX6QRhKoaXs2AxHZnoTZsuvoRZiXgcLopHcG1vYs93a81kHb2kNUMUHU4xjvk7YYQYFP4I7wnniE58Fv4iGkkWuUhfFGoQBb8WJ2oawCc8Ca8IKzHI2k+rAIzf6bcgjqeRl9Av1JJC8k8hDgKdhigqEj6GH8ES+me4iPt4E/yMzBMXwKMwiqyFT+GXuCuGaG7XDtVmkNfpIjFC00gXUHEPrq6YDCSCJh0eJI3CTu0l+i6shtOiET4QXsbZn6avCFPFy5qZZCHugPvgIVgZvx/u0TSIb5MFIBC8vYjn0butFQpFH+br0avMQZ92AHf3IfQDZcJUlDgRObcgLurQQ+zE5wn0EyIiaBHu8VvRi70JXdpaGoMFGitBr4Ou+489M2F2/JewI74Abo8/DsPQH2yMr8Ued8PfYCvsJht67oUV4MGd8wG5RTOJntZMig+jEfounUW393+/aO084oQv8HkFCxM1hyEi/i/MgtL4lvj/ILoHo4fdAXPhZriAq/wKR7hJOAajeqbRjvgkYQWu9xzMiL8Y9xIjLIwvhelwBF7QaaBFF8R3rJK3cb33QhudGV8ltPUsQjtsRSsoaK3V6H8eFleKPxK/hS2457ejv9mF++Yl3Dls74Ny24ZV7XesXLH89mVLlyxetHDB/La5jQ231tfVTp9WppRO/EHJhPHF44rGjB5VOHJEwfBh+cGhQwYPCuQN9Of6ZK9ngNuVk+3MwjgvzWGXbFaL2WQ06HVajShQAvlV/knNshpoVsWA/6abhrGyvwUFLX0EzaqMokn9dVS5mavJ/TUV1Jz/b5pKQlPp1SSSXAIlw/LlKr+snqr0yzEye0YD8o9U+kOyepHzUzm/jfMW5H0+bCBXORdWyipplqvUSXcujFQ1V2J3HSZjhb+izTgsHzqMJmRNyKlZ/hUdJGsi4QzNqhrfQUFvwUmpOf7KKjXbX8lmoAp5VS3z1JoZDVWVLp8vNCxfJRWt/rkq+MtVW5CrQAUfRtVWqDo+jLyIrQY2yx35xyJbYhLMbQ6a5/nntcxpUIWWEBvDHsRxK9WsNRecN4rYuaOiYWPfWpcQqXIuklkxEtkoq7tmNPSt9bE0FMI+sC3Nm9QcmYRDb0EjVs+ScTS6IdSgkg04pMxWwlaVWF+bv4pJmhfLqsFf7l8YWdyMryYnosLMe3zRnBylG+O4nCo5Utvg96mlLn+opdLdkQ6Rmfd0Zitydv+aYfkdkj1h2A6rLcmYLX2Ztt46znF1xlXP7LUsYTPyT0FAqHKrjDNp8OOaxrGkbRxEWsehGn5CBFup8/CNLFINFc0RaTyTs/aqJk/yy5F/ACLAf/HL/pKWpESbJ/0DGMtw0gs1rE/xajCoDh3KIKKrwHeKc5zIy2OG5d8Zo37/CknGDM0HNWjbltD4AjS/z8de8OaYAnOxoIZnNCTKMsx1RUEpCIZU2sxqjqVqMupYTThV09u82Y9I7uKBZoaqD/R+bVJmWtXC8SrJ/D+q2xL11bP81TNmN8hVkeakbatr+5US9eN665KcmlbRILhokqMugdciKOf0KrNCg1kV8/Cr5aCeF9PpEZVcQuRJqtR8UyINGX2+/89Gsfhl1opnN5olp6mOD/YvT+hX7jc9c0TACePxWl07OxIx9qtDqCUGnJLMEPFQ2+CTK1Sow52Zh1+8p49jFHKpCpqsgikg/hKiZLGfoivJh/DD0DksfxI6ukhkkl+eFGmOtMTi4bl+WfJHuumr9NXIiqrmFHBi8UObXeqkLSG01UIyfli+n9VEIvM6QMjDYRRXB+FMUcXmkDo9GPKrc4N+n7+hDdfSMR7MvtrmCuQolHf4yaYZHQrZNGt2QzfeUuRNtQ1RSmhFc3moYyDWNXTjhUbhUsqkTMgKMitANUHTRKme67u6FYAwrxW5gJdbYwS4TJ+SEWiN0YRMSgwU4AOxK2VrTEzUKCltEWX6hCyc0B6c1NZjjcRqDvF/yeCViU8HJP54WaSMVyYoE2kpRYswURQlh1B3AoHOiaSUuDqwz5lcHCPhjgmKq5v3NDOpGUZNJgv3ynDmTK1PRzheYuF1N1ZQN7uhcyJg/zxFjXL2YZ4WJ9F3D3HHxHB+a7DBTCPVsxCBrNI4zmXsUy2zhirxq03+u31sdWq9/x4fCv2qjN4alTpgsjsUicj4+NEqrfUNiZRVkXw39hRSw3NTui43YuJG0YxNOa463cyH9I52b2q0O3A0xkRSw6mt3zsazl4lt7GUf/n0O8aCPzE+ntKJQSNzIrMRjz51ABs4OQ8sWt0h3gPO5Ak+E8IPp1aMCeazvSQzJ4du0n9zB50W5DnheeRmf9U81GCEh+4YfFk+eV6IafnZpmHA/69KpI8SO0h45xFpQqpEkqXE9o2oC/oXF/YWJzHCGCVveMJN4Fr4lvWpi13q0lCwV6WFrTmCe3s82+DjeePJjJrx2JmshltbcIp43kxp9aPgZhTIDXMTFmQHdYRFTq0t2IxZOTmSenuwX5foEwi6KOyILUcN18jNIbkZfQiZgcZ2yaoGc3k+hk/+FuY3ahLrqUHnj1lLZBa2BfbaXKoO/dn8ljY/c64qw3vC+myOIs4OZjWo4IpE/IghnGLeJFTG7gOqNjCFZfhdEfS3tLHIbj4L7NoSIQdOl1uH9eaq8vtCqELzuC3RcLjR5rKkNcLixsbmIFrCHnFE5OIIbvhG9FVioLW+Gf2aLMmTZP6qW1xYQiNMYaUQdpRQNOQxRWzPvwF1WbCjUZd3Q8K/y4MJZT3vlQcRak1KRce/yKwMqjRrHFayxZOZs/m5gC+KGU+TNwXNqyCqXKw17qLa5LGRaD+FNXWlXliiGUpCqQMA8d6RRzbV9PWEc1RH9czbXGjYYfzk1n4yf2JbcW2TreQfepee3zCe+3jQUJb/6amPr/9r3/UFEuhn8F+YSPI3J0x1E3umQYUE/9r3rzW9v0Xd+Bi0KBLb4RxSXZJKkHKQpiLNYrKk7lJsvhuNvwkn8yU2vRvA9BaAFV2g/Un2/3e8dwPdjzf2k6DDlUj8PgKaLM2XoAHaUbuhzCTks4fmwgDwCkFhKCp7haFR7QBvTBjcGXB63zoiDIHzSFQYEg0O8HYLg4QB0QleJSb4Ox0ZhbayYQL7R7UCnsqYLkfah3QUSYQmwYNyCdP1SGGkfUhHkd5C0gJgymplpOVIzyCdZzXCAMEdlb1S2SAhG9tm4wJsQhZcQoojCTjPLBw1C6YjNSFtRXoGScv1mGQ50nqko0iXeY0iZEUfH4Vzz4pu5lnn4qWFvNiSKM5p5MXOW0OJfOqMRF45JaE2PqE2cnRCPLw8kQ/KT+SOvMIwy42WwmNlmUImLjITJ74CU0JPgI0QvAfvEjJARaKCNilRBEfnwEDhM0cFEYhABQLzwBs/JpCoxV5YZqRxegkc4KVf0YuJGnqx02ovfKbsZvoR7EM6iiTQj/D5kH4I6+l5ZnNMS5GeQTqKdBrpEpKWnsfnHD4f0A/ARt+HAqRSpCakZ5COIl1C0tH3MZXoXxmUeMr4UiRK/4qpRP+Cy/oLpjb6HnLv0fdwameiRcWF3ZwJFiQZb16SyXIlGUdmYYy+Hf12CCIqgG8aEXVYyIWJMErIjeaNRPg5oyWLvDH6cacc9O4qG0HPgopEcSZnceSzICPVIDUjrUDSIvcOcu9AGGkb0i4kFQlRhqmEJNOTSG8gvQMjkBSkGiQ9fSuKw8To6Wig3FuWSd+kv4cstPgp+geev0Ff4/kf6e94/jrmHsxP0teiHi+UmbAesI2EuYR5AdZr6G87Bzq88TI7PYq282JagFSKNB2pCWkrkpYepbnReV4HdnIYTqIz8dIofM7zX8JzelAWe5VABQJQZklg/A+Qw+QZ+ZkAVQLbd2CRJYFHH0eOJYEHtyDHksCa+5FjSWDpncixJDBvMXIsCcxuQo4lgem1yGESo08fHDjIWzR9CZHLbPQutNJdaKW70Ep3gUjvYg98K7K5/Tw6dChabKcSHDLUG8YY7QgJzyTh50i4jYTXkfD9JFxCwj8k4SAJu0nYQ8IKCR8m49AUYaJ09SsWK04SPknCe0m4nYQDJJxHwgNJWCZFSoz6olNG8ayKZ51lbNNh/oOJ6H1s1IcW9SHmfegTjmJ6GinOSwoqybkJ5WwPy3M7h5YmysPHFy7H7XMcGx7H13AcziGJ+IKOI4yOYyfHsQMbpqVITUjHkC4hxZG0qJ2LE9/KUxumBUilSE1I65EuIWn5dC4hUVienOI+PjE26YLkxKcjifQ4PuxXXB/1KQMktxSUbhK2uonNQ6Z74h5aBJmZ6M0ddr09RiwHvrH88xsLGMoM9FG6lbluui2Zb41+i66bPBENHPaWZZCfgUck/B9BAyQP83HQzstjwK1n+Whw019hXhh112MzWzSQ7z1ErKzVAe+37gvez90xiuxn7sPe/5VjIol6/wclvzrgPet+2Pt6QUyPkiOBGMHskMxVu93jvHtPctX7sWJn1LuOZQe897kne5e4eUVbouKH7VhSbN6Zgdnem7C/Svdcr9KOfR7wlrp/6C1JaI1hbQ54R+AUggl2KE52iJsP6vegpMs7pq6uKEYWKvm67boG3XTdWF2hLl/n03l1A3QuXbreoZf0Vr1Zb9Tr9Vq9qKd60Kez/+EIskM4XcvPYq3IUpHzEk38XYif0ZToKdwMappQTatnlZNq9VgrVM+V1auz/DFixAusxl9OMEKA6tpydVywOqaLz1SLgtWqrua2hg5CHg2hVKWb8ApW2xAjcSba4GI/FXUDIfYNj7hYPnjDI6EQODPvLHWWOibaiydVfk/SnEz7/C+Osx8/oFzdXj2rITrmpZcGlIfUQs7H48hXqz9mPyl1k7+Ty1WV3eRrloUauoWJ5O9VM5lcmFgZClXHSD3XA5l8jXoIna+5nh5PaaYHst6T0NuZ0MvD9qg3kGWoZzBAHtfLMxi4nkiYXkf7wKrKjoEDuU6WDO1cpz1L7qtzMg918vK4TmYYTnKdk5lhpqNO5CpuN6p43FyF5ICbq7hJDlepv6FSkFR5uFflYT6SQG7ouBM6lvMpHct51Pme/3f6/k9beTBIOieEWuewn+Oa/VVtSM3q5jsXOtnNQu5oDSV/pws0z21dyHKMrUP+tkq11V8pd0yY8z3Vc1j1BH9lB8ypqm3omKO0VUYnKBOq/C2Voc7JNaOL+o31cO9Yo2u+p7Ma1tloNtbkou+pLmLVk9lYRWysIjbWZGUyHws41GsaOvRQHqqYk8g7qcmIsG3G+0h5prRiIsfwBJ9zneuQyOJRUzCkmv3lqgWJVQ0rG1bGqnBrsSor+801WeVcN8HnOkR2J6skFNv95RBctbp9NTirFlUmvu34QdGq1czgiTTY/t8+WFelKi2V7asAqtWhs6rVUrzEd+h0KG1mS1LHp2QmU1UsfiwhHI7C8UwoCL2KTFbCZAZDUvE/3//qZM7/yS7M/rFU8ZBV0B4SVE91LUWPUJv8cesQBlbsrGgP4QLbSZC0p/pITpv9S10iY2tO0arVSS5pi1XJPNESm7SnTNL7YcYK9lpsFe+WmzM4p6HMKowVCqAMY+cRmA/DfBjmhZgXCgWKI+AVaJHXoC/ymoyVXp220pvqNRSE/wdAWQPTCmVuZHN0cmVhbQplbmRvYmoKOSAwIG9iagogICA4Njg2CmVuZG9iagoxMCAwIG9iago8PCAvTGVuZ3RoIDExIDAgUgogICAvRmlsdGVyIC9GbGF0ZURlY29kZQo+PgpzdHJlYW0KeJxdkU1rxCAQhu/+ijluD4tJ9qNZCIGyveTQD5r2BxgdU6FRMeaQf1/jLFvogMLjzKvzjvzaPXfWRODvwckeI2hjVcDZLUEiDDgay8oKlJHxRnmXk/CMJ3G/zhGnzmrHmgb4R0rOMaywe1JuwAcGAPwtKAzGjrD7uvZ01C/e/+CENkLB2hYU6nTdi/CvYkLgWbzvVMqbuO6T7K/ic/UIVeaSWpJO4eyFxCDsiKwpUrTQ6BQtQ6v+5WtSDVp+i5Cry1RdFIeyzVQRXYgORAXRkagiOhEdic5EZ6JHopqoJjrlfm4vb51tY7zblksIyXGedba6mTQW79/hnd9Uef0CQjWDFgplbmRzdHJlYW0KZW5kb2JqCjExIDAgb2JqCiAgIDI1OQplbmRvYmoKMTIgMCBvYmoKPDwgL1R5cGUgL0ZvbnREZXNjcmlwdG9yCiAgIC9Gb250TmFtZSAvT1JHUk5WK0FyaWFsTVQKICAgL0ZvbnRGYW1pbHkgKEFyaWFsKQogICAvRmxhZ3MgNAogICAvRm9udEJCb3ggWyAtNjY0IC0zMjQgMjAwMCAxMDM5IF0KICAgL0l0YWxpY0FuZ2xlIDAKICAgL0FzY2VudCA5MDUKICAgL0Rlc2NlbnQgLTIxMQogICAvQ2FwSGVpZ2h0IDEwMzkKICAgL1N0ZW1WIDgwCiAgIC9TdGVtSCA4MAogICAvRm9udEZpbGUyIDggMCBSCj4+CmVuZG9iagoxMyAwIG9iago8PCAvVHlwZSAvRm9udAogICAvU3VidHlwZSAvQ0lERm9udFR5cGUyCiAgIC9CYXNlRm9udCAvT1JHUk5WK0FyaWFsTVQKICAgL0NJRFN5c3RlbUluZm8KICAgPDwgL1JlZ2lzdHJ5IChBZG9iZSkKICAgICAgL09yZGVyaW5nIChJZGVudGl0eSkKICAgICAgL1N1cHBsZW1lbnQgMAogICA+PgogICAvRm9udERlc2NyaXB0b3IgMTIgMCBSCiAgIC9XIFswIFsgNzUwIDU1NiA1NTYgNTU2IDU1NiA1NTYgNTU2IDU1NiA1NTYgXV0KPj4KZW5kb2JqCjUgMCBvYmoKPDwgL1R5cGUgL0ZvbnQKICAgL1N1YnR5cGUgL1R5cGUwCiAgIC9CYXNlRm9udCAvT1JHUk5WK0FyaWFsTVQKICAgL0VuY29kaW5nIC9JZGVudGl0eS1ICiAgIC9EZXNjZW5kYW50Rm9udHMgWyAxMyAwIFJdCiAgIC9Ub1VuaWNvZGUgMTAgMCBSCj4+CmVuZG9iagoxNCAwIG9iago8PCAvTGVuZ3RoIDE1IDAgUgogICAvRmlsdGVyIC9GbGF0ZURlY29kZQogICAvTGVuZ3RoMSAxNjA2MAo+PgpzdHJlYW0KeJylewl8VNX18Ln3bbNvmcyWZbbMTJJJSEgmhEAkLyGJQATC2gwaGZYguEAiRNRWiBYFAiq4IC6VqBUoqEwmiAlLidq6tLVgXYrW/k0rFrVSaatolcx8574JCN+/7e/3/b43nHvucs5dzzn3nPcIEADQQBdw4Fl0w4J2OPj3eoCcVVi7fNFNqzypl5+9HMsnAaTYkvZrbjgYMu8ECCCNOOGa629ZcuZvz3JI+wxA9mtL2xYs/stzzX8DCK/DujFLscKyRvUnLB/Gct7SG1bdfP0EzVdYHsJy7PoVixYAqc8GKJKxvPiGBTe3q8zilVj+KZY97Te2tXPTxzyH5V8AmL8CyiYr4A9nK0HdfkqSotRPa+QMEPgkBxqJTxJwqkQhSbnDJAhqEicOcIRNZ6uHq6eZvqyeOlwNNZg3ncNkdKnX7DUHMCHAwzkPN3hOFuA78PCDAASmpP7C/0N4C4rIcfmyAXN/zoH8V4p4KUPKtGfYMx3hNqEtf5V4s35V/nu6d/26qGaOYY4v6l+qW2K5xrss/5qi1Tl35Wzz6iz+/tRQX647wrDc5nRFZvhm+F/0vejnO3wd/tt9t/v/5PuTXwxrCvV5vjx/lT7ib9I06et9E/3X6tv8t+hv9W3Ud/t2anbpd/sy1Bq1XvSJfqfGqbf5JJ9fo+eJfa5DdnoiKxxkhWOHgzoO0jbISg3KOleVO4tkFVs5mET6sWKyyxMpJTJpJjGyhfTg/gwSFfkbL7uqTDzhiwvVji9SdmKXM+wRe5MUCrpGuUM9priJmprIF2YPlAIFZ/HvZjnCuJ+tTbNaekEeG516+svW09NMZxGHbzwNNcMd4S9bwyfT+MbwSYu9qrW148ZweOJVLQPgw/3IypmA+3F8BH+UyKjy4fYgwtLrCQsrHZeNliq9x1KlUcDI6j6RDTqs01dpHAwyqsIXP9FekU6c3SJnjtOM01f4KnAfJ+sn+hr9OzU/82mgNTq6FFo7SGtGwGYrLxtTEQmGlF9FZMyYcg9vF4JBv08SM612G2+zZVpF3u+BKcTj2rH+3q2XXREZ+Fts/dovfkasxC4lT2Tcdtvtk0uKxpL4sc7NKTia/Cz5Lvlj9tYNt8yITM6yjBo/95bn2l9e8o9f6TsWVfiqIoGSJTcc2bTmg+sIYfJ1HwAfFQ6CDRJy2EjcpIqU03JTHakz/w/5F1FLgk3Ioy3mpWaBEJphNVsyOCslxn66Ss7hJLVGY83U2AC0mqBKLXvyIvvUJKUmapeDHbTNlxfZ4uhx0HbHGQf9woF6YA3aMlmTEWl7MsmZTJLptNdUKyeJZ8OUY5qJndLZkRKqSk11tam65nRVldlexRlM1SrUGtIKrcQ8prwsl2aiAkXYpokiy5K9G44seGx6TvKUZ8ZljcvLk6eEg8Mf75jUvuHe4a109K55FfUb7xr+HBeNUnQ/bsIzmGW6vHoA1DizGrOmRlY3q2mXOq4eVB9Xf6EW3OqYeq26BysETpRQ0TkjEBmOwxBytqJJEAVR4jVUChKerU7tzYvwTtXIur5fB6p9a0c1J5jYitgqOlAwM9ikEe4nzuQp4uQPED557rspfPC794Gd0fdznDUAAvZewGYoNAu0S4gLg8Jx4QtBcAsxYa3QgxUCTgfNEOWCBM7PBZz8/5rLyOjl6ZGFg9824n7Upj7hQ/wEsEI2eWoATKlv5EZt1cPqR/TbTLuFXZpD6kP6fpdKZSWT6OVio2Z67m79AfGA61XNa7p3NSd030hf6/XZxuxMOSsnkikbzBFj5tHMY5kcO/Q+Y26Ngg12xPRuWWc0WJoNMQM1OCzMMhxwZkVIuYVNuy/HE1GwryCNw8Vp7MhWsGw0GCM9uDtgwmnPt1hQIvt4rcXBJDNPK4GXlGR6pxuIwVWSOz93Re6OXD7X6FXJemNE5cxZVpvejaloMFrPtqLJQINxGg2DbHXI+dYah5xrxCTLhEm2uUbR65phxXBYcBJIYWGTQSIFIx3DifOkX7Z2KLZAYQBssFSxSSfsDMX71JoJSrHWWxMGRn8ybLZUtSrDG2TcJQMb1MCGN8i4WaB0WlI9HA6j+aom5nKmAB3QGiaCKPo9aDxMUF4GnFcxKRlpC2Kn3xLHmE/3Jf965zJifes0sYjDMnfHgrp5Ie7muVdVVxMys+SRJ57f+ke0vuHkq8kjt22aRK6/de3EiSuZ3K3HK64SZcEEu+X8hwSiNpBZwhKhU+BKLC2GpYZ2C69RG3VuHb1Xl9LRGt10HdX109VygSQR0HBU1OSD2qQuVberebVrrWWHhc63rLXssxy38BYTBAnXTwpkLaVdeAlQ4jTXDJBsSJuC6qmm06a0LTjb6px6EhyK/pxG01BVllb/DmiK22c1xStmzGvp1ZSNjUKrF+/RTDSjZXZJsQdm0oMqJUy8rj4W/cHll42fWcIHH7quvuKrUbV7kn9HwXkdF/pnPqjo/yg5ixtLRHEsLmsfR6kYJB6hVKDCPtUbe9n93cou7eqzKCg1p0eXnlfb19Nqy+kZPvdPlqLaYt/b0E84jHqbCV74Rr6jyjjZ+APpWu21uj3qXYYe/wHDCbVGVIkau8qmGWNoNDQaJZVJbbYarEaraYxhjPFyY6fhFtNbGu3N6pudN+VsUG9w3pUjqm1WNSrOLEOnYZ3hAcNTBsHg0euser3OqMvU222BDJOVxKw9Vmq1gscboITqDYZMUBn6yWE5BHqTnurfzgr1iHFxUDwu8uL6dj/x+Ev91O/N9JD09dpPN/X5Ri9K37DMZigHwW5YSJtj3AtLVQlas2GUR0tV1fpR4VbDbaZfEHMVYJldcmhfWtG8lCm3mGSz2TO83Cjq95vNKKTpi8/v30ZX/PWdrpdejN12bV/y8XdvnH31kuo/vHNt9fRJefvRck//1R1P/z577F17k38mNXuj3uHHuGl5LXVTrtQJbI8no70ahTLqhzLSIS+VXKpsIcfmmpI1KXty4A+mD83qMc5G5w+CS5zXBO8K3ue837XTNZD1quu1LJ0o6jNtotMWEgsyo87V9C66U3xefEXUHY28Z6I5eWWjzUX6PDk8KpIn+/IxceZEVuSdy6N5jTnMAJWiAbosh0COKSee868cPieniJSDjLVGcOPU5niZEnuZEntlhyviRcv0PC/p9JoiZjKwrWjEdCgYKYqY7ZKt2tzRQVWBOl8fdet26KhbR1I6opMNtojONT1CIjHUzXtKCSHlBd75dvKhnUy3z7evsHN2Z/mIXUMtQZPWcbqVWbdwunSS2f3TaEhQjdCQKL6RcoLhtMOSKMkhHdHT6cIA5KUGX0AbPjtvcR5tDUdbkQOPlV2/IxcXc2JCTNfweDmrze5lXgxaI5/iyVSOqcQDRh1EhWLODNolrBpTQdpS4d8dO9zfxGUFkp9pTRI36aetPz0y99H7fnlF84qm2eTqMZ/lVbbUX9FQbtLSP4965IHoxheS/ZvvvCK70qlqbExsmHd3U3bAkz2jYXzyd5YyR6h6/NyyYGVem3JXMp0rRJ3TwlNyQM0LaIXUmgBv2ccRjsNbGi9HKqlUWlAJKo94TCLoum+SfbK+WR/Tc+36Lj316Ev1PfpBPa+n2rQ2DKJ5YPqgG935vT5MZV7K2daR61TRCEzYhipGn0PznlPFMSvvUlCv4iZGUV2+v/7Z3Xv+t43k03qSnzwxjDZj+Cit/baR3j68FgVpJsr4IyjjenDCQ/KkT8gp1dcZX2fyr9JPBGpxCk41jZrmZsy1RR0P0e3idtVDun71O/QPwgfqd3SnhFPiJ3rTLtWv6W/El1Wv6IRO1UZxnYozo7AlNFo7kzkrL1mrJFcsqz2LZhm84HS1pOWIXY8d6FCPmDzoaMVrZ2KLrF5mWmJZYlvm4Ekrml10ZiMWlATItILflxcMWEc8Wzz/md3Dj/2dRJKvf35f8utu4tm2fPmDDy5fvo36NhOxO/nqF39Pvrwutfvx3bt7Htu9m53hGozrtuN6Q2T8ABSgprWiv4P3nC5TtOkiXEQVcUT89bRB1eCo9+s8XEnBLHWsoKtgR8FPxV3STt3z4vO6eMHxgqECAxSUFDRjw9GCDwvEAtmVHanBcpfSKEheXnLl2JR9kJh2yrm8ZDKbQ1nZ2cGQBp06oyloMcvzKmJmsgJtfT9tlI2urGBONtatyCaxbJKNdfsDwWCI4FWWAAgpbo66hmF5DM47hKQhuRahGiEvFAnJ4y6LlISOhT4MccaQO9QV4iDkCZWGUiE+5Mz/qPq8Ao+EEyMX4VnUU5Sdsx2tDJ13ik2KY1xzmlngtNUlN4aZapJwBl6EqJt2RUPtNsVJDl1wkr/3l9cQbtPgkm2ljU9e1flkPnrNOaEZ45eOSp7KrRlTu7Q4eYoPbv3Z7DlzZs+/qn77cJTOf3xU9aRN25KUNj46r6hx3cPD51BGH8Q44hvUOyNkwWo5IAoD1gEHd7lArhHeRSE1B/AKgiwTu4yMoLKF9jHNw61SayOogZtlmzunNCeW057TlSPkmIwX30LZo2ddrHUdZ8MdTCDP30BKDK0EVKhNHrty16DF8fud9Ptb5kHyB2KYuWbPwoemXfv6i0/uu2ni1ZMqeoSDNu8f963vX2bOHP49/1IyNmphbfNSvQZlcA7qXA3KoBP+JM9oMUYtUdtS4zLLMtttjlucD9GHdK+YXnH83vSu41PxU9WnGZ9mfiNmjM0YmznFMsXW6IjqlumkcZZKW6WDWy2sNq4X7jJudO627LINWA7Y1AbF3mdFGH7eYo0YyvWsxpkbUbDRHNEfJDy68Ktki1kLMpKCjHRQvgWt/kGM3Hhs8tglwmqJF0r0LKNPu7tZktd6iQIz9zb85ekwRsRftp5E+z/8ZTiMOL1tqNJKxJm20WMqmUPpAzPzJ2386ORfDYumL7tt7XXNSzKJNfzlG58m/0psp1/6mH5eNmv21j1HHrtyRcnPXyIY9xCJBHYx/d2MyX4lXlmhxCt9ZZGIwBbmDyhYrrHaIyCwCKZLGEqHLu3CGYHvEtALpByoKPceOvZxFl0NwhmgTBhYrMXDcn70jvMKcnEkk9YXZk83k3wlliGwlcW2eIY22CE7pAx7xjzVUhXfzxO0IKZ6Vb3xU5MgKoGsWTLoRZ1Wi14rJUEbKIEskBR28p8CWY02qDMwnUe/60I8qyNn8Ka+NJ694MZeEtIq94ViUpmX5L0kgFUUF8NaPpo8lTejavKqMPNhN73V+sh0N819pm1s87pE0s0HH9s/cem6H6Z9zdkorwsU/cuGLXKxJSpGNVHLXNtcRzR7u/Sw+hu1uj23K5eO4yK6cZkR5xSuXjcls975sFptZQZQ0LrYThi0kgEjW9DYCwz6ILNpstEIrntzSa7Ji2FTS/VF10L11NPD1X9Jx7WnL6wFbwf9MnGZZhneD0scy7LF1qjXWzEiVBb0zM1eYrV/fz/wC5Lf1fbOeyH5XfKlxB3EOWwpqb91wYZ11yxe/9iVURLC2MRAnA9Q07n2PVcsf/qnLzyxAyeow7ONod+uJdvlTfnSazzdLg2QD8g70hm9oJJcvEPMFythrGoSiZIfkU5JEyRhaQwZJzWSKdJ27TfiN5I6wAelQk2EH6eZyE/TvMyrrtDM5qOaxfwNmpvJbZoH+G3SQc07/Aeacxo9x0uSWmPjPXyhppyv0TTy6kzeqRmnmaa5TrOLf4F/XXOWV6NNO9NncUT4/tSJvkw7w0Nyps4cIbxG4oEqSAVqFYcuwdCBguJICh0TRmS05UW4IFVbKVULolY70nxGS1hWtmOzNgiCFf0b9GIwtlKp1VoQ+ukNCbFcjUjWqtqm63foh/ScnmPVtFzLqi1n0kEy0yEe2nS/6HGEnYoCOVjU60Q/5qySg5ILXsx6YVQ43BFef9sv1o9yjOTwirGzO8ZelfYQn9d41F5lgQnEGKGy91qog60dHTcSlpQT4s3I8GLKcTqyNrmV/ODwK2RKcjvZmNx14n3qp1zyA5KXVA+/SSYnXwDFf9uO6/OjHKvJb2WDmhNVTs6u4i1oEXCXoM+irWG+VN+VrRGG5cJZsyNcmaSySpKKU1EqcWoeNxALvIw0vIztfJl4TCAC8/OcsrZZG9Ny7douLe3RDmqpR1uqpVqVeqRThmXDrFkRddklnp/mIs9PuZJbzzt/WFI0QImBIB0H4YMbdt6R5vD41IZQROXBhM36BbU+opIxSYf1o0snKlRdB7QVqi5thbKwy1yjIqpZmAicjSvjZI5v5O5UbVH1qBKqk5z4C+6Y6n0Vh76PKsKNV01X3cftUPVw+1Rx7qhKKymvfcorIlTGRGLyoy8pi1APSyRrBdY8JKu9oyJ0NiYKdWOuB0uYqKgkOShnl4poSBpPy6VpVJauonMllMwsaSptkB6R9kq/pu/RT+gp6V9UG6L50hTpZmmD9AwVmR2+8cKbUGgdcWPQRUTTzIJlTLYTD20hGcnfD/cKB88Vc29928gdPlefPv8FqVPC1cJb4IJ35Wl3qTdaN9p2wHbxVfXb3Nvarzh1QJ2vy9cXWAtsnUKn+i5U9QzJbs+w2wtoIRcQpHzhYeEh9evcL7VCDZmO18lME5AhdocoL4/MjvRLJA1ufj+ZJ9sdxbzKIBssEUPTfCOZbiRGOdMRMfaTfNlnKdZwxi8Mc+ELULpylaK/lxnqkYhRckulEsc8l76sNSPuSccl75Lwjm3tOJm+azHTqljH1la8bJX3uXi/Mmcl/bJXNJuYPeRriLsu+cbnyQ+SG8itJEL0uxeXJf/gevqmp379Ws9Ne2jWlWc+JfeSeWQ5eXDH1fHGG9d9lvw2+dnn29J7V4p3gAnvu0L6kjwomkW/KmQ32/3bLdutD4UeLFRL1kYrtRzSDxhe9X7s/0Z/1icW6Ofo2/QPah+y7PIN6KRav5xXH7zGtzi43rLeepfvx3nqymCD2Kidop9ubPTW+SRfXihYqavwsvfaFXmSqBHMaq9DH9L5fD6/lOeTi1bqbrbeknlTQWfhhsx1hY9kPli437ffr+8i99o3Ox4u/FlhvEi0e22y1x+xydnuiNtGPrQRW7nK2xy4N0ADsiMnEnCxkFi2o//cXERKi0hJESnK9ZaaiKkc3Z0RHzt9opqa9FtOpk/O8M397DDOocwp8e/Ivcs8RnYbh0/DyMv5CpEQkdhI0DfG2+idTaL2xWSZ/SzREDvlXV4fzc/Q62i+az5P+MZ8bbOLuBozpJrhVvzHbOB5aO3IYp8Sft2XX4gBfhr7lE8teaw81OfOS5edLqUsZ2HmOj0Z42v0bdc/4PuF722f6PXp9DzvYut43om+Xjl7F9pnL64hIy8LlbIvEFG+nuRgFAMk/f2Ej5EucoZwQEzK1xReocywISUh8lTgyXz+DE/ZEmwydm0rt8vYr13GTu1yRWXEzt5v2OVAASbYr9HuVl4l8PY5Lhl9HqOLNLtSLjqyeOWDivIwyW7tYDJ+Y7qY3oyRLyDp9wMd+LSmo+G81OuyWmupMeZjgvvw+QF9lc6qq2LZhI59U/msV1ul2EPCzEXHyNeRSnQSQsFQnvJ1hMUxF38csTNX3+8LlhKXZfmiGyoD1szJyWeuXPP+x++/nZ/82jy/ZUWpJztIXoy2fPnFe8OkJDxzTn52iSfTam6aMPfh7sP3bBo9oc5t8+dmZi+Z0nTXfb+LK3p0N+rRLPQtbPCYbP+B+RrzNoFTi06xmlabm2iT+RSVlO8fZl5rA02m1apRixnWYGYmMH/JYFO8RxtJoVT/F+9RrbrgNqrIGRVR/efPIFNPV5v+l9fYmnaqgsEKNKtW5b3vGJblpo07suy6PVcQp3tmzaQbC4lzx5yFV+/ZRnuSjqG28dM7T5JB5cMCmkT21RTAyhwEfCLoH3gQ8/jDmjP2VApTSKVMMEIhwjgFO5R9Yvw8CFgrAfo0oAEt+mV6MKAXagIzWCAD+87EfbTjrX4QshXYBdm4t9kAqZPnIbksdZK1MUw/w65z0jDyJOAZ+D3Jxwu5j3yLfX1DnGQ0TMaxv8YZ7INhjD6tMBu2EQvk4WhzYDIqgpOEYTN5NHVT6lO4DO6DJ1MvkDtSe7D9XngFvsEZ/A9PoBKmIf0caINPuY8hmnoEV7Ie1zEeZhIbLIB38fcVzuF+eAB+Tn6U+gZHtcId2F811EJt6sXUOSiEzfwW4YT6eYw4DhExtSi1DHLBB900nHo39SEEIQpPwTM4pzAZ5CeBF66DO2E7cXKvYO5B+CkkiY62chOFozjSZJgLy2E1dMMe+BWxkGbhhHAm9cPUKdznDMjHOS2DT0kFmUqf5nWpCan34UoYgNdwvew3yF/J7xKuTNakfpJ6Cff+BbRoh8mLQplwz/DtqSdSz+EJBWE07sg0HGch/BhehNfh7/APuja1FibBLBz5lySHeDCiyyfvUiddQ9dwb8EoXG0rzrYTdmBcloCDcAiO4N78AaOyj4mVZJEpZCHZSv5BdXQxPcY9yu3n3kbb+TPcbz8EcI9WwdNwAH4Db8AxImD/pWiwriUryEPkJ2SIxunn9Gtexf+Y/44fFoLJoeR3qWmpr1DSXHAF3AprcW+fgj7YD7+Fd+Af8E84iyZvLFlKniBxMkQ+p2rqo9NpO91Gn6bPctO4rdyLfAVfx1/Hv8G/L9wlbJIWSMlzO5P3J59Nvpl6IfUmyo4B+w9CI+7o7SgVT8NReAt7fw/+CH9m8oP9j8fb9mocZSXZQB4gz5JfkjfJZ7hKUH4+Op7W46gr6I24T3fQ++kDOPox/B2n79M/0r/SrziB83FjuA7uCS7O9XPHub/gHR3kR/Gj+en8PD6FJ1MmXC7MEnYLe4WXhDNitbhYbBc/ke6Q1ql+M1w4/D9JSC5NxpN9KLsqlKRbcScehydR7vfjGfwKd/S3OOMh+BJPwUW8GDCFSRVpJE1kKvkBuYq0kTvIenIf2U4eJU+S53AFuAYq4dzDtJbOogtoG11H19O76X78HaSv03fpCXoaZ27n/FyYG81N5uZxV3LLcQ2ruDXcOtzZrdwe7hj3FneK+4Q7jadm53P5Tv5W/mF+F7+ff1O4QrgBf08KR4VB4U3hnHBOpKJLzBZLxGvF3eKfJVEaIzVLG6W3pX+q2kk2KcSZe+CihzpRB3PpHmrl15LTWJFDeLQqWyGM5zALteKfUMMl8VwMrB3nlkmdfIZiomQerThdRQ5BBfklrBUph7aLH4IE+YAO8S/Ty+AdvCid/C5uufAr6oW9aI220MP0EKmD/bSazqWP4XX6MdkNH6O83wwPkOvISthLTpNx5DZSSdbC29TGzSLroDr1JOWJmkwmZwBnALfzi+Fq+K8PqYIP4NPk47ye/xHap37Yhif6DHxIfgbfEiH1OVo3Dq3RArQym1He7wRm9VpRz9aiPjrRglwvHoP9RASQKsUJ/K1onv8FnwoHUaLq0JKeSi7jH+c/SlWmilHDUMtgN+rdUrgcNeZjlJIjWGalq1DTNWhLylCrm2EeLIbb0OptTcVTj6V+nLoltQJ+jbzfkiLyLelBjehHjmp4DX/3wntkE+rh5f99nf/pSS7GkOoz4iABUob6cFq4Sdgi7BH2Cz8X3hBH426vg0dRov+M0qzBFSyCN+Ez+Jqo8GycUIQ3VC2Mxbm3wPU0yh2BicQF7aiz+WjH60ZWshJ7uQN37zHU5yOoG2fQTlwFP4cT6MHbcUWLcHwV9tOE+zwfqXfiCf6Y9GHNYrTahfBXXLeBjKWrcDwZe9qGVmsQ5/QB/IVdhsq8itAu1JO52NfX8ANYjCOMgWbSiydwAKrQstZzv8H9ziMmqCM+8lPki6GGGiAHqoSPCIWi5LTUWLqMO4J3TArre/D2yoLLSAfOwojrGIZMMh0qkjNxDm8Rjo+T3ymzeJi2pdZzq5PXw6/hZ3gmMn+TVM/fyN/JfyfXzZkt10y4rHr8uKqxlRWR8rLRpSWjiovChQX5oWAgz+/zety5OdlZLqeDOU4ZFrPJaNDrtBq1ShIFnqMEihr8jTFPPBiL80H/pEnFrOxfgBULLqqIxT1Y1XgpTdwTU8g8l1LKSLnk/6KU05TyBUpi8lRDdXGRp8Hvib9R7/dgYDajBfN31/ujnvhpJT9VyW9R8nrMe73I4GlwLK33xEnM0xBvvGlpd0OsHrvr1Wom+ie2aYqLoFejxawWc3G7v72X2CcQJUPtDeN6Kaj0OKm4y1/fEHf669kM4lygYcHiePOMlob6LK83WlwUJxMX+RfGwV8XN4YVEpioDBMXJ8YlZRjPMrYa2OTpLRrs3txvgoWxsG6xf/GCq1ri3IIoG8McxnHr4/ZbTzq+L2Lnlokt6y9uzeK6GxzLPKzY3b3eEx+c0XJxq5el0Sj2gbw00BjrbsShN+MmNs3y4Gj0zmhLnNyJQ3rYStiq0utr8zewmti1nrjaX+df2n1tDI/G1R2Hmbd4Ey6XPJAaAleDp3t2i98br8nyRxfUZ/daoXvmLX1O2eO8tKW4qNdkTm9sr8E4ktHpL860XWhTcgo5yzXNvLCzhM3IPxkFIu5Z5MGZtPhxTWNZ0jYWuheNRTJ8ogS54ovxRJbF1RNj3aZxrJ7xx4WAye/p/gpQAvynP7+0ZsFIjRgwfQUsy+Tkgqhh+/l8PByOFxYyEZEm4pniHCco5Yriopv66Rh/u8mDCLcPmnFvF0THleD2e73sgDf1y7AQC/GuGS3psgcWZiVALglH4zTGWgbPt2TOYS1d51susMf8KMn7Ff86M64KXvhnNNkyGpaOixPbf2luS7c3zfI3zZjX4mnojo3sbdPsS0rp9rEX2kZy8YyJLVwWHcnRLE5pRaG86gIxK7To4nwA/4mKUC+OcyiUSgXxNMZNsUnpNKrxev8jT7+kuoipP3WGcSnoe7aRWcbHhS8tj7+kfMnsdN0czpcP0qbZ87q7NZe0NaIB6u5u9Hsau2PdC/pTXQv9HpO/e4Duoru62xti5w+0P3VwU1a8cXMUF7GUjENhpVDX6ycbZvTKZMOseS0DGP54NsxuSVBCJ8bqor152NYygP6KrNRSVssqWcHDCtBEUM4TVKXQZw3IAF1KK69UKOVF/QSUOtX5OgKL+mm6zpQeKKgMJKOnuaifT7fI56l5rFOl67rS1Pkj1CpsMbGWg8r/VVUa0w8zGhNnt1wsDoqORYshHeGJf1kSe2LqJ/ON1V+pnCrlxn7yo2olEnvzJx8Nf/vtuWETqG5EWjVCOibEVJqQnAYTTfDtt9/eeiFW/P5xiFglzIUp/EdwH62C+xnwK6GWy4H1dA+8jmUQXoVtWDdZwR/BTCkH1iDPg1g3B9s3Y91WhNlY1iHNdoQFmC/FurtHxrkeF/sbALx7gW9H+AAX9AnODsuq/DSoNwNoHwPQYbs+BmC0ImAMasbTNO8GsDwAkLEOde0qADuCYztA1hD7f8XKqhz0d+gHPYCRGMUItwQjKJCa6EsYA9NaHczm9rEfrcB73s09xz2LtG7u2T4xx91Vq+eegX0IyIipB6EHgQOZe6ZP0pfJ/YgtVgUnbOGygdQgZsaVK/XFD5R1Heb2ortSjtV7E3NY9d4+ub5MweXj07hktIITqnSzZC1z17qQrQSBgnEkNx3hXoQdCEcRRJzQXvgQIYXAcbu5JxONbuzhaezIWGvlnsaly5geQ0ghcDj7p3EtT8MXIzU8zuqpPrWODf+UwpXFPYVcRkxNCF0I+xCOIQiwAtMdCCkEDnMYyiBQ7knuiYTJbarVcI/DWgTKPQJGQsCNvW/vMyl783CfMaNMrjVxD0IzAoU4NxUGESh2uxXZtgJF8qZE8WhlC5v6NIYyE9JvwklvwolswiF7MCVKWUZg9Jv6Mmys+x8njGaF74eJ0kg602dylDXjLtwMhGvjlmMw68YgaDm6im5uEWJ21Au5xaBX5in3GU1lXTheDZLXYExQgM21nA09bTdXz7nQy2NknQlDepzORH5hGa54IudQSIycHp1cN6fipESZ23OIk5XN39Cn1rL5bUiYMsuOcHdyEliRqgup7G7jEU6DJ6tRVjK7T60v21Kr42bjMmfjtrhxjgR3ebnS0fIEdlRr5hq4bAzM3dx1qIKZiBu5XAXv4p7AcNjN/aQvmO0ePMTdr3DdxzrF4SekRWtCn95QNlir5iZga5y7Bw/gHmXwLX3BsRhSBLl8KEWguMdrMbdWEfpuzHXjqXXjSXXjSXXjpLpR+oDbiC0bkaaEuxXaudWwBWEH5plYZSZwQweUTF5+2QDn5By4MaZDuJUEa119agObmSNhyVDIHH06Q1nNEW4lyvlK7FPmVvXZHWUrDnGFylKK+hxZjKE9geJ6BENc5WiQ0caO5AiXjRvBNiaHy01kuuO1biwzQXYDob+ix9km0bfoO+y4WZSv4F+P4DdG8G/TODVIj6eVgv6O4aHabPoxdjaf/hF2YI7SQ/RlKEWG92k/mwV9jw5ADeITWF6MeABxOeKDCe9r7n7a34cI5/5oQm9ji6UvJ8IlIxl3YCRjzxrJWGxltQH6En0RsrGL3yPOQ/wiHQQf4qOIHYgHMc55DfHzaLXGI94/gn9BDzMRpy/QAxhxuWlfwsCmEE9IDO1LiAw9l4B0qbnEfZg+R/eCC0mfTQRdWLu7L5jnNh7C/gh9mq5K5LgttRr6BGkhXyJRD8ZjiMFCn0xUsk62JA573AN0C90iOyrlgFws7+RKA6XFpTs5T8BT7Kn07PTUmug9aEB2UNRfugnTSvBQlB4EGWEL3ZjgK+O1w7gmti4KXZj2KLkYpu1KDjA1XWg9o+Rq6J0wHYFiH2sQ1iJ0IdyO1+wWeivCDxF+hHCbUrMKoRNhNVqTduRoR4525GhXONqRox052pGjXeFoV0bvRGAcMeSIIUcMOWIKRww5YsgRQ46YwsHmG0OOmMLRjBzNyNGMHM0KRzNyNCNHM3I0KxzNyNGMHM0Kh4wcMnLIyCErHDJyyMghI4escMjIISOHrHCUIkcpcpQiR6nCUYocpchRihylCkcpcpQiR6nC4UEOD3J4kMOjcHiQw4McHuTwKBwe5PAgh0fhMCGHCTlMyGFSOEzIYUIOE3KYFA6Tcj6dCIxjCDmGkGMIOYYUjiHkGEKOIeQYUjiGkGMIOYbo6l7ueO0vkeU4shxHluMKy3FkOY4sx5HluMJyHFmOI8vxkaWvUjaDotisQViL0IXAeAeRdxB5B5F3UOEdVMSrE4HxxpEjjhxx5IgrHHHkiCNHHDniCkccOeLIEVc4epCjBzl6kKNH4ehBjh7k6EGOHoWjRxHcTgTG8f8ulP/PR0NvJy0qvGtpFylQ8Fr4XMFr4ISCb4NeBf8Idir4h3CHgm+FSgWvhqCCsT8FrwK3iiTclcZaG5qA6QjzEVYg7EBgTtJRBEnJHUP4ECFFK2Qfb5SmSzukfdJRSdgnDUnUKE4Xd4j7xKOisE8cEqmnNovqFTuKpgXuVdK1mH6BgJcIpjVKroZGcNwI2tkK/EVoRDaf9nxRSI4VkqOFZF8hubeQ1Krp5YRXLJ0HKtFddpMWWRec4D6BUBkMTUDLdM+Bz+3uRHCMu58cTqMCOYz4c4RehJ0IdyBUIpQhFCMEENxKXSHSt8i+kS4PI4QQvAgeNgTYbOhXWswqeYDqyc6+X+pBzcYJ5SPfoUSoFFF/IjQd0QuJ0EJ3rZocgBDzisjzeHJ7Ee9LuE9i87Np9EzCfQjR7oQ7gqg1ERqF6MpE6A13rZ7MATfPWGeP4Fm4boZnJtxzkWxGwl2AKJwIBRl1IQ4UwNYC0gInEQdGuPLSI/kT7vGIfAl3FaNWQYgdPBGhWJmegMAw14cT+mKAtPBE1rpPu+93f47sf8WNRfF4z9PPIzoW6CdzZY37cPHjSFzrTtRqGD3eD70jOM7w8+6dgY3uR7EvEjjgftg9yn1Pcb8Kq+/GeW9Uhki478Bwfa+c4e5yl7pXFZ90r3RPcS9wz3S3BrA+4b7KfZhNE6Kkhe494G7GDifjKgIJ9+WBfmWKje5b3LI75K7yHGb7C2PT/VYWH2Y7AGXp0YtwfwsD/UzG51T2E7NcKJ2RtkhXSnXSeMkv+aRcKUeyqiwqk8qg0qk0KpVKVPEqqgKVlX0HDrM4ySoq4ZLIs5RX8iaa/rSmhFGUqChMgXgG10SbZtWRpvjgImha6ImfneXvJxqMhgV/HYlbmqBpdl18bLipX0rNjFeGm+JS85UtvYTcE8XaON2Awebsln6SYlV3ZrHXTr0E7rw7awAIcd55dzQKDttNNY4aywRzVWP9v0liI+lFf+fmuDibE9/WNKslvicnGi9jmVROtCl+O3spNUCNVN9QP0ANDEVbBvh2amyYyer59vookp1UyFCaDUgGIYaQTFUHHkaG9qSOkeEZpemCyI50XoaQTqOHoEIX1OgVOp4wut4Tnob6Xo9HoQkAnFBoTgTgIhqUGOSt7w0GFSq/h7QwKtLi9ygTK1A6cruRpNitkBD065SO3EQZLF7yPUlghKTiAkmFMhZHvqdxp2ms+edprPlIE/7/fNrqwqRvdOeal9l7vpi/oQ0hFt9001JHvGuhx9O7pnPkBWAwtnDRUoYXtMU7/W318TX+ek/v6Jf/TfPLrHm0v74XXm6Y3dL7stxWnxgtj27wL6iP9tVUt9ReMtbGC2O1VP+bzqpZZy1srJraf9Ncy5pr2Fi1bKxaNlaNXKOM1bCMyX1zS68K6qITr0rjPqrVoAzHsrzROpupfQIT6IHxXsearIM8kN2gDUfjOn9dXI/Amopri2tZE+oZazKwl7kjTY41471ZB8nukSYTVpv9dXDhvzAxIvYnRk1x76x5LUxU4vKCf39mK9mjNDugYVk9/sPyKgXwdzElrPy3z6p/93R2dq5kSWd4JUBTvHBWU3wM+4MnScKhYvVRrBt1vo7jlLpetbqhPzWIjWGcBFnFhmO5MGF/kCZr2Bd72iP2SJSFCqv6XDllK47gDb4WAeM4ujpRooTPdHWfL8Dil1V9JRVpjOEqwwmXt4z9T5NKZGU4kMayuRgzWwJbirdU9gR6insqRfZXfTux0r2TXaWJkp0crAqvPL8RmF0VhfTfyeF4TySyc5SBe1gmHI6GVxJlv/73ZpPzm35hY1eO9LpS6X7V+QNJ168c6QRPIj1653m2zhEmpbFTYUp3ki5dSL5/VnWyrth+opX+P+OjT/IKZW5kc3RyZWFtCmVuZG9iagoxNSAwIG9iagogICAxMTM0MgplbmRvYmoKMTYgMCBvYmoKPDwgL0xlbmd0aCAxNyAwIFIKICAgL0ZpbHRlciAvRmxhdGVEZWNvZGUKPj4Kc3RyZWFtCnicXZLbaoQwEIbvfYq53F4sntcuiFC2N170QG0fICbjVqgxRPfCt2/MH7bQgMKXOeWfmfjSPrd6XCl+t7PseKVh1MryMt+sZOr5OuoozUiNcg3k/3ISJopdcLctK0+tHuaorin+cMZltRsdntTc80NERPGbVWxHfaXD16XDVXcz5ocn1islUdOQ4sGlexHmVUxMsQ8+tsrZx3U7urA/j8/NMGWeUzxJzooXIyRboa8c1Yk7DdWDO03EWv2zZznC+kF+C+vdU+eeJGXeeMo8nR5BOegMKkASVIJK0MlTlYEqT7kAPXrKEtAZ9YKnQJYU1HsqQnUJ2wBSIAViZAk5B9igIU2QBa9Ooe/EoKCvAEFfhXop9BXBE/qKkDPoCwR9VelbHHq5N3vfjPsk5c1aN0S/Pn56+9xGzfcNM7PZo/z3Cyb4rakKZW5kc3RyZWFtCmVuZG9iagoxNyAwIG9iagogICAzMjUKZW5kb2JqCjE4IDAgb2JqCjw8IC9UeXBlIC9Gb250RGVzY3JpcHRvcgogICAvRm9udE5hbWUgL1hYQ09GSitBcmlhbC1Cb2xkTVQKICAgL0ZvbnRGYW1pbHkgKEFyaWFsIEJvbGQpCiAgIC9GbGFncyA0CiAgIC9Gb250QkJveCBbIC02MjcgLTM3NiAyMDAwIDEwNTUgXQogICAvSXRhbGljQW5nbGUgMAogICAvQXNjZW50IDkwNQogICAvRGVzY2VudCAtMjExCiAgIC9DYXBIZWlnaHQgMTA1NQogICAvU3RlbVYgODAKICAgL1N0ZW1IIDgwCiAgIC9Gb250RmlsZTIgMTQgMCBSCj4+CmVuZG9iagoxOSAwIG9iago8PCAvVHlwZSAvRm9udAogICAvU3VidHlwZSAvQ0lERm9udFR5cGUyCiAgIC9CYXNlRm9udCAvWFhDT0ZKK0FyaWFsLUJvbGRNVAogICAvQ0lEU3lzdGVtSW5mbwogICA8PCAvUmVnaXN0cnkgKEFkb2JlKQogICAgICAvT3JkZXJpbmcgKElkZW50aXR5KQogICAgICAvU3VwcGxlbWVudCAwCiAgID4+CiAgIC9Gb250RGVzY3JpcHRvciAxOCAwIFIKICAgL1cgWzAgWyA3NTAgNjY2IDYxMCAyNzcgMjc3IDU1NiAzODkgMzMzIDI3NyA3MjIgNTU2IDcyMiA2MTAgODg5IDY2NiA1NTYgMjc3IDYxMCA2MTAgNTU2IDcyMiA3MjIgNTU2IDYxMCBdXQo+PgplbmRvYmoKNiAwIG9iago8PCAvVHlwZSAvRm9udAogICAvU3VidHlwZSAvVHlwZTAKICAgL0Jhc2VGb250IC9YWENPRkorQXJpYWwtQm9sZE1UCiAgIC9FbmNvZGluZyAvSWRlbnRpdHktSAogICAvRGVzY2VuZGFudEZvbnRzIFsgMTkgMCBSXQogICAvVG9Vbmljb2RlIDE2IDAgUgo+PgplbmRvYmoKMSAwIG9iago8PCAvVHlwZSAvUGFnZXMKICAgL0tpZHMgWyA3IDAgUiBdCiAgIC9Db3VudCAxCj4+CmVuZG9iagoyMCAwIG9iago8PCAvQ3JlYXRvciAoY2Fpcm8gMS4xMC4yIChodHRwOi8vY2Fpcm9ncmFwaGljcy5vcmcpKQogICAvUHJvZHVjZXIgKGNhaXJvIDEuMTAuMiAoaHR0cDovL2NhaXJvZ3JhcGhpY3Mub3JnKSkKPj4KZW5kb2JqCjIxIDAgb2JqCjw8IC9UeXBlIC9DYXRhbG9nCiAgIC9QYWdlcyAxIDAgUgo+PgplbmRvYmoKeHJlZgowIDIyCjAwMDAwMDAwMDAgNjU1MzUgZiAKMDAwMDAzNTQ4MSAwMDAwMCBuIAowMDAwMDEyNjYyIDAwMDAwIG4gCjAwMDAwMDAwMTUgMDAwMDAgbiAKMDAwMDAxMjYzOCAwMDAwMCBuIAowMDAwMDIyNjc1IDAwMDAwIG4gCjAwMDAwMzUzMTkgMDAwMDAgbiAKMDAwMDAxMjc5MCAwMDAwMCBuIAowMDAwMDEyOTkwIDAwMDAwIG4gCjAwMDAwMjE3NzEgMDAwMDAgbiAKMDAwMDAyMTc5NCAwMDAwMCBuIAowMDAwMDIyMTMyIDAwMDAwIG4gCjAwMDAwMjIxNTUgMDAwMDAgbiAKMDAwMDAyMjQxNSAwMDAwMCBuIAowMDAwMDIyODMyIDAwMDAwIG4gCjAwMDAwMzQyNzEgMDAwMDAgbiAKMDAwMDAzNDI5NiAwMDAwMCBuIAowMDAwMDM0NzAwIDAwMDAwIG4gCjAwMDAwMzQ3MjMgMDAwMDAgbiAKMDAwMDAzNDk5NCAwMDAwMCBuIAowMDAwMDM1NTQ2IDAwMDAwIG4gCjAwMDAwMzU2NzQgMDAwMDAgbiAKdHJhaWxlcgo8PCAvU2l6ZSAyMgogICAvUm9vdCAyMSAwIFIKICAgL0luZm8gMjAgMCBSCj4+CnN0YXJ0eHJlZgozNTcyNwolJUVPRgo=",
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      ],
      "text/plain": [
       "Plot with title \"Shiller: Consumer Price Index\""
      ]
     },
     "metadata": {
      "image/svg+xml": {
       "isolated": true
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "par(mfrow=c(3,1))\n",
    "plot( data$Date.1, data$\"Real Home Price Index\" , type = \"l\",\n",
    "      xlab = \"\", ylab = \"\", main = \"Shiller: Real Home Price Index\")\n",
    "plot( data$Date.1, data$\"Nominal Home Price Index\"  , type = \"l\",\n",
    "      xlab = \"\", ylab = \"\", main = \"Shiller: Nominal Home Price Index\")\n",
    "plot( data$Date.1, data$\"Consumer Price Index\"  , type = \"l\",\n",
    "      xlab = \"\", ylab = \"\", main = \"Shiller: Consumer Price Index\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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iago3IDAgb2JqCjw8IC9UeXBlIC9QYWdlCiAgIC9QYXJlbnQgMSAwIFIKICAgL01lZGlhQm94IFsgMCAwIDUwNCA1MDQgXQogICAvQ29udGVudHMgMyAwIFIKICAgL0dyb3VwIDw8CiAgICAgIC9UeXBlIC9Hcm91cAogICAgICAvUyAvVHJhbnNwYXJlbmN5CiAgICAgIC9DUyAvRGV2aWNlUkdCCiAgID4+CiAgIC9SZXNvdXJjZXMgMiAwIFIKPj4KZW5kb2JqCjggMCBvYmoKPDwgL0xlbmd0aCA5IDAgUgogICAvRmlsdGVyIC9GbGF0ZURlY29kZQogICAvTGVuZ3RoMSAxMzM1Mgo+PgpzdHJlYW0KeJyNegl8U8fx/+y+p1uynoQP2RLSk4XFIRuDDRiDi58vCDGHAduxCK5tbIO5AsSQEAJBOTiikEDSlgaau0lD0hKeZQPiaCEJpQ0tIQ00bdImkITm+oRA+6GkacD6z64kY7fp7/PX0+zO7s5e874zOysbCAAYIQQCyK3LWlZA4PKLAKnHsLam9Y5V8p6j5x4BSJMAtLctWLFw2fgX0gMAzhCASV249K4FZw8uWoOyv8A+qR3tLW2ftJVUAgwdhXXjOrDCXqh/G8sdWB7SsWzVmuGPC3/E8lZWXrq8tQWgHucaqmJ52LKWNSs0McNeLP8Zy/KK29tXPBv57Ass/wvAnA+ULVaDD65WB+U9lFzQ6qJ0pzIINOIFAYw68QKBTL1Wc4EKR+hoMJCdZCQ4AtLVkuslM6QrJdOvl0Ap8tI1TEaP8tq8thxMCIhwTRaOXVM08C3IIi6JwDkA+q3mGBhJirox0NBtNJvNUaL01EOSMaaYTPGaJGPUWyzxmjijeOsFxWIbs0TcQLfRnXrxFyIxgFZDBYOGmCk5aYRo7Jhi9PrGjAIi46zR2PkeSaJ1yHyh2KxW5FxmM6YpFguvvaxkWq3aOpDMZpZaLJhmmTWKxTpGw8ZKYWNpiKxRNFSTaTpESshGVMEM6ULjygBqIhD/YCGujdKMYmIrHj2KNEJjgMQbnQquzaBVNBoDMRs04CgttRfnZ52y2YtHjQ56fTatVjd23LiiQvptT9mZ2h9/lL9KvHvSOs8rU0424SuiUBf7VMxE3blhBJ3LtNelpRW1DQdMHgeBHJsjGrvaw3aBzJUetgUH29gwtiWHzcwqbHx/NoctN2Aa5rameFJmpggpKalQQwhh+7RINm0dEd0uS7Y7VQOlF0svHg80FuA6Gy8WEFxpcX4ggN+AdOrsKen9X48e5eyi/7GIL3qYghmjjGDqxbmZrv/HrAPn+o+p8vtPpEyZkDUtXfHdmn6Lb4GwNH1Z1kLf2qz17q1ZD7l3pb+UdSTri/RP5KvyoO+lP5W+J12YMLxNS4e5Z6Y0pdCUFBebhJypYWigHT1sWk/Z0NgVMIOZKFAPntg/wASmBP8vsIAlzpNiMPWTM8Wu9smZ+smZyHjF5lAYUFATDslBHdtzSZSM3wf7cpLgzkliOicO5e76nE5bEmCyTbFR2/bAbx5ixtUYuIh6vnIRuZWcZYRaut54ofQi19LoUSqtUJWahsMwNHYefLHz3V5ZK5Px+AlC40rSGAw696GKTSnDokL+vqWoc5eIXM9SlyU1G5nI0lSGw0BpwIbaZrpHJA4qSk8vLJhEx44ZqtX6sjGHwoJ0u02iWPKTMX5ftjYtFUXGrdiTvq5lzvqacWTc4WX7rxHdiW0X71779+d+8R793Qur1kReWrf+WTJHWnvbtA1/XmF21C8h+j+fI9Ku3o97/9H7aW/3K0eFMT/Zf/yJrXv3JvFtQ3xLMJj0cnxzaCnGLLeoSXVbLBmGaOwzji7GKJkMXQYbmLlBp3ODNnODZgg9hckpjioGUu1/j3SFGwsyn3BjQeYrJdNk0rIh4x4g4Q1YXd+QN8ZUZojazXSLaYv1jRSNQWdy0KpB09Juzqxw1g6alzYvc7ZziW6JqXXQ0rQlmc3Ou+id2jtMa62btY/rdkhvON6j72jfMf3FmtW3pDKpH8oy+qExI4kyxVaf0WngEDMQMEgGaigzYqekoCH2WVzwQL1hu8eWBJ0tCTpbEnS2Tu4hzQx0oKDq+7ywPul846L762G7O45H5t44BhmbgGRCFaRxJTQmsNijlTMlFzqeCJVNv0JYpiPZkaxIDJnjGT6DiMwuSyrHosUiZnEsigksMgxK9nEIunR7GkfdUP8giQHOJiH4dNq6JWeeuSOyqnzxmWfP3vXowZfWrXvppXvW3dxIzxCRfO8XTd29sfd6e3tf3/P4AfJk748vXSYdZPFXizah7ZcAiDrmQ+nQGx5UMdgki2PQIG2dhcHCZuPMV4pBkpBDv+FmcMtgAm43a3W7UrDFzX2qO0oPo2c3ZmTIHslGqexB35V/lrn1/FOQz9QUKGXp8YI+b8knNNvtlE+oGKw2mpznvGKyD6J17lRWx8aO4NAM9iYTrUPmS4WfWd81G8Mmm4/NxidTpkzUTNQe1hzVHtb9Rv+GSzfVHDTXpiwxt6Wsta8d9KD9iP1vWX9zXs4yHzUdGETdRkmv1Z50ZaW6XFl6V5ZAqD7LJVjcUpQ+3z3TRmxR4tjH1glsYd2Emo0DQGvsB1pjH2gt9cbOjDN4+DPgksP0XpBBQmdptu0rpU10Od1ARXqIDkFPu60r7vqY1wuUSFfiGMOogrs9m52dqphsThkZSFkvHWenRJ8TVAxOySUNltyS9lexy6BDuOkxNyAlUce8Imm8HbHHXq3FqdNZqDsqFPYspeZUy3/4Q1th3B3mpHn9RXgsjxs3lrs+3dBxDJppqXhc41fUXSuiGTk/3XVp986773uCHBz0rz+cuXrTi689N8+9Z09ZSeuxe47/bcGSHzwRHnT63S/2NLx85PktLaP5eZ6FWJQ0hzBStFAXQ+MRMMf+HddmT71Fm7BJTdI4tUnG0BcrJRlN0sS1ScbQFz0lGZ0+IaxPMrqktev1fTKJUEufZDRJRptkDEkmEZcpRfX2BnOHeZf5JfMbZs00YZrlh6JgR/CAWSvoNEaToEMHY7GcFMRUQRAFC1CzRdQJh+lh0GP8+YxiBFFEEThpFKN0wQGNxqgM9owxJsM2Y9xHc+Yr7qyNUVKkWHRKtm+MLuQdq9tupcyhmSypY4BKVKYCZZ1ZH2Qu7Gd96L6UKNnKEfYl82XMj11h1lkifSLxoA1j2asltuJiHn1sHhkQEWNWqxUdXMW8hoNgiX0QsRejxZ5VTIXFQnZesSAOHlzChghinIcySqpZMRWbQzXFZsVfbM52YZ5XzKO/YCIKHPCBgHO/WTRoBQuNCgUHmCsEs5gMDQOFhQXx2NDmHUsKbYVpPptgI3TH9Qfokz84caKndyxpekHYf+3mF3qfRRv60fUlHFfT8RxNQx83GEaQz/udox4r8ZAmIhDnMLdiIRYLOhynBuMii9GNsZvEXBE/UyV3hsTO1AyJnakZ/EzNSByALBz7Nff7PAaRjjcyR5O3JJNU6pS0ysxKea69Vl4itOna9IvtbfIq/WrXRv0m1zv6s+k2ncxexND4q9HW+Zi7czLOyxvYsmosFBfmJGea4pGaYkguksVSEYylBricnH4uJ6ffOZnTKfFzUiIgIYRwb5cPsNNc2p6L2Bnf7U5ajjtpHm5E82E+jpsUK5bSjKaM5RkbMsQMKSGA2uBwT6nPSGdDZaSzNWdE6ZDuQN8RGWjkoRryiSPyykWuLO6+BgRtB5mL6hkq+2QvqiHuntgA7MrAwzaN0RIP2ywWJ4/WepamWpwa7qac/x22EZ1/KD8dtTrmoOzMQfmywSYVMXdFUllQl3BhwrfdjtypS+rL6ubTsiMLe67f+dYDH/ZeePLBz/a8f71o5iMzbn/+ubvXvizOSVk8avqoSV/9tbW59+u3wxfvIdVkHXnp1d2vXXu/8eVg9KnHMXATYE7iXpIBPhhFT9xAXI8ZnO6RzDDx7KR1I0favW6tZpjbbnEb+J2ARWH7eRQXsOIb4qGdNXnYMYY3Wh0Ca2SeQEhKCX1gFYakmZl4Gh8xjYM17Ua0NjAUZFZ1sbi4LyI8wBeiTS5EG1/IBR4ZWpOOIzE/q0PmmpLNKtm0rGcaDwLS+E5v7C85Gc5F8hMLSBKzl+lj08nw9KnpU/2fmD8fpTGMIuthPVknrtKvNN1uXm1Zm/EQhMlWcZP+XtMD5k2WhzN+bzsxyG4GtwPMONMzI0k/ZQ6wCHc/i3AnLWJ/vbvzqIEYyux0IQT6SQf6SQf62U+g06rIaD9WAlbJSq1R8mhPgSNpNI6k0TiSYaKjUxWIEKULu4ckhYYkhYYkw84hnWl9d500JY2mbR894K7DbUe6krScxr4Q017cyFXJ/HI/A8qOnY+45Cw0n4gs57MsT/Zj1jU8fgniNoUH/kpYiWd+N2puJDcop1NrH8YNym7RerlBafsZVDHzucTvHzsmcdDr0jEFNCasGZTaz476GxVZvGLpJ0ePfbFk2eaHe6+++27v1Ufnb1rSsfHBBQu3TJi6fc69u/fct+FFwTn88cXPvHfumQU/Hp57fMuRGBBybNurpLbjgfubWjc/cC02ffvMn4Xue3k3unL0gPWxT8R0tK0AudrPk5syHQq/WruAX9sDZiyQ4T6jxWq2uo3G4Wlul+ge7tIMt/gsZkcmAbvMfbms8zPzYuL+fO7O89kD9mI8/S5KHLInpBP2Yul4oIARA+sojSXdUmXZZBGrbLfY7nAKs9OXSotT29JXW+5K3WQJpz7ofMFiNJktKaKO4HyEhYsKLv4wccBwBNTYHrM5TXQcos9DJvPouDoNLs9iHwBcez8o2vtB0d7ZJC+XqexghiaHdAM66fp10vXrpOv0c//vJ+CX/BR3feUA6+/fnudg50jmGXKIjAdgQUPfLWh7bpQ81pVE5JX+XjxwA4zXuSe/KMVdOg9I+zAZ0chC3JsHmR8nK1moia9Y9JktViMHn9XqGs4u4QeWDrdkOhyuNI4/F8dfQX5hHIKFBcWYFfbdxuMY0xXdgFsiDO0PT399j+dHSzbsfW594bRUu6kzumnxoq2pPd4vXllzcsmCtvu29372zqsxcr9j52b1vnXPpj5F16xvve+BB+R9v1kYaWt6YqT7l48c6/3nJ8CjCIFlkAqE52NAxLAdA1Z8sOayPhbDFGIxCRISWnDx3MBxy/qLoMFaHegxxs1EytK8CJmiHxyo9k+RPmN576LYZ6yd5fQL7BtNEMBu2EMWwR44Cq+Ry9hrLxyEHvgtnjOV8ASsgx/CZhx/LtY8CLPx0WD9D0lmrAfy4Vmc/1k4hbK3wD1wCNKJI/Y5bICNwhnstRFxkg1lUAPL4WEyLbYa5sE58X4ogmlwG6wgoVhD7JHYY7Hn4QU4KPw2dh0xlgWt+JyKfaX5c+yvkIc9fgQ74Rx5zLAPwXMLhFDySbgddgmNIoktxEBeAC/ciWsQYTqcIsdoAEdvh0+Jg6wTKnCUn8bU2HGUckEjdMAuOETGkinUq5kXmx47Bek4xxocdSdEYD8+UfglvEfMmsux5/FKkwm5MBX30wNvkmNC7/V7e0v5z7jM4IqxZTn8Cn4DbxEfeZUu15g1BRpFszZ2Ft/naKjD1b6IPT8hX9N78NkgnBAnx8ohBfXyKNM2/Bo+JFkkn8wk9XQ43tCeEm7HSD0X+46GNliE+n4cR/+ABMh+aqanhZ+KPxe/1Q7uPR9LwTfih5/Ak/AqseBOZdJJ7iPvkI9pBd71fkI/En4oviS+rWvBXX8flsHD8HP4mtjJeDKL3IrX9HVkM3mU7CSnyFvkM1pGa+kSeknoEFYKvxTL8Zkjdor3azZpHtJ+1tvQe7z3D71fxwpim2AW4uFeXP2P4Cnc2UE4De/icw4+IhpiIin4yMRL6sjd+NxDHibPkd3kJdKDs7xFPiKfk3+Qf5JvKcKWaqmTemk2Pj56O72T/pA+QU/j8xb9kn4jZAjZQkAYK5QIQWE5rmqzsB2ffcKHYpZ4Woyhngs0OzRPa3Zrfq55TXNZa9bdpwf976/99PqI6x/0Qu+W3h29kd6e2IeQhu8wC7XggRJcfQs+i/F970DE7YUzxIy6yyIjyCQyDTXTRBaTlWQNavIBsou8wNf+CjmCWvoTuYRrxvsjX/NIOpaW05n4fJ+205V0O32M9tB36L8FnWASrEKaMEKYIjQK7cIq4S5hh6AKvxfeFz4SrgrX8ImJRtEjZot+MSBOEZvE1eJT4qfip5p5mt9p/qY1apdpN2mj2r/rxukm6Wp0s3SNum26/bqz+mZE5+uwDw5Avw85L9wrVAn74BFaKGbSN+mbiOcmaBOmU0Qq3U220PWkhw7RrNFOpBPJDLgs+lHXJ+jT9CqdKEzHUHMOLKaj46NpU8WXMSsRX4eL4hHc25s48hqtmdxDL2nNEEGHU4xz/loYJQaE38F7wjmiE5+Fv4hGkkEu0heFGkTBL8VJmgbwCk/AK8JKDLj20SoA47f6rYjjGeRl9Au1pID8S4iBQGcgioqEj+F+WEL/DBfRjrfAj0mbuBAegUKyDj6Fn6FVDNfcph2hTSNv0EVimA4iPUDFl3B3xWQIETSp8ABpFHZpL9F3YTWcFo3wgfALXP1p+oowXbysmU060ALWwyZYGbsX7tI0iG+ThSAQvMmI59G7rRMKRC/mG9CrzEOfth+t+xD6gTJhOtY4EDnTEBd16CF24fM4+gkREbQIbfwW9GJvQo+2lkZhoSaFoNdB1/273tkwN/Yz2BlbCLfFHoM89AebY+twxN3wN9gGu8nG3rthBbjRcj4g0zST6WnN5FgeDdN36Ry6Y+D7RW3n4PH+BT6vYGGS5jCExT/BHCiNbY39EdE9DD3sTpgPN8MF3OVXOMNNwjEo7J1Bu2KThRW433MwK/ZizEOM0BFbCjPhCLyg00CLLoDvWCVv437vhnY6O7ZKaO9dhHrYhlpQUFur0f88KK4U7xe/ga1o8zvQ3zyDdvMyWg6zfVBu3biq8/aVK5bftmzpksWLOhYuaJ/f2HBLfV3tzBllSumk75VMnFA8vmjsmEKMb/JH5uUGRgwfNtSfM8SX7ZU97sEuZ1amIwMP1UF2m2RNsZhNRoNep9WIAiWQW+Wb3Cyr/mZV9PtuuimPlX0tWNHSr6JZlbFq8kAZVW7mYvJASQUlF/yHpBKXVPokiSSXQElerlzlk9VTlT45SubOakD+4UpfUFYvcn4657dz3oK814sd5CpHR6Wskma5Sp18R0e4qrkSh+syGSt8Fe3GvFzoMpqQNSGnZvhWdJGMSYQzNKNqQhcFvQUXpWb5KqvUTF8lW4Eq5FS1tKk1sxqqKp1ebzAvVyUVrb75KvjKVWuAi0AFn0bVVqg6Po28iO0GHpK7co+Ft0YlmN8cMLf52lrmNahCS5DNYQvgvJVqxtoLjhtFHNxe0bC5f6tTCFc5FsmsGA5vltVnZjX0b/WyNBjEMbAvzZncHJ6MU29FJVbPkXE2ujHYoJKNOKXMdsJ2Fd9fu6+K1TQvllWDr9zXEV7cjK8mK6zC7Lu8kaws5WDsPGRVyeHaBp9XLXX6gi2Vrq5UCM++qztTkTMHtuTldkm2uGK7UqwJxmzpz7T3tXGOizOuenafZglbkW8qAkKVW2VcSYMP9zSeJe3jIdw6HsXwEyTYS23DN7JINVQ0h6UJrJ71VzU5kk8O/xMQAb6LXw6saUnUaHOkfwJjGU76oIbtSV4NBNQRIxhEdBX4TnGNk3h5bF7uHVHq862QZMxQfVCDum0JTshH9Xu97AU/FFVgPhbU0KyGeFmG+c4IKPmBoEqbWcuxZEtaHWsJJVv6ujf7EMk9PNBMU/X+vq9VSh9U1TFBJen/R3N7vL16jq961twGuSrcnNBtde2AUrx9fF9bglMHVTQITprgqFPgrQjKeX3CrNBgVsUc/Go5qNuiOj2iktcQebIqNd8UT4NGr/f/s1M0dpn14tmNbollqhMCA8sTB5QHLM8cFnDBeLxW184Nh40D2hBq8QmnJjJEPNQ2eOUKFerQMnPwizfM8YyCTlVBlVUwAcRfvCpRHCDoTPBB/DB05uVORkcXDk/2yZPDzeGWaCw03ydLvvBB+hp9LbyiqjkJnGjs0ENOdfLWIOqqg0zIy/WxlnC4rQuEHJxGcXYRzhRVPBRUZwaCPnV+wOf1NbTjXromgNlb21yBHIXyLh/ZMqtLIVvmzG04iLcUeUttQ4QSWtFcHuwagm0NB/FCo/BaympZJSvIrADVBFUToXou7zyoAIR4q8greLk1SoDX6ZN1BFqjNF4nxSfy84nY5bI1KsZblKS0iHX6eF0oLj0sIa3HFom1HOL/nsEb458uiP8hs0iZoExUJtFSihphVRGsOYSyEwl0TyKlxNmFY87m1VES6pqoOA/ykWYnJEMoyepCfXW4cibWbyCcL77xuhs7qJvb0D0JcHyeokQ5+zBPi4vob0PcMTGc3xJoMNNw9RxEIGs0jnca+zXLrKNKfGqTb42X7U6t993lxUqfKqO3RqEumOIKhsMyPj7USmt9QzxlTSTXhSMF1dD8pKzThZi4UTRjV46rbhfzIX2z3Z2c7XacjTHh5HRq63fOhqtXya0s5V++/K5x4IvPj6d0fNLwvPBcxKNXHcwmTqwDiymuIB8BV/I4Xwnhh1MrxgQLmC3JzMmhm/Td3EVnBHhOeB6+2VfVhhKM8NAdiy/LK7cFmZSPGQ0D/v8UIv2E2EHCBw9LE5MlkijFzTesLhxY7OgrTmaEMUrOyLibwL1wk/Wqi53q0mCgT6SF7TmMtj2BGfgE3nkKo2Y8dqaoodYWXCKeN1NbfVhxM1bIDfPjGmQHdZhFTq0t2I1pOTGTeltgwJDoEwi6KByIbUcN1cjNQbkZfQiZhcp2yqoGc3kBhk++FuY3auL7qUHnj1lLeA72BfbanKoO/dmClnYfc64qw3tc+2yNIq4O5jSo4AyHfYghXGLOZBTG4f2q1j+VZfhdEfC1tLPIbgEL7NrjIQcul2uHjeas8nmDKEJzuC5RcWho81nSGmZxY2NzADVhC9vDcnEYDb4RfZXob61vRr8mS/Jkmb/qFieWUAlTWSmIA8UFDTlMEPvzr19dFuhq1OXcqOHf5YG4sJ6PyoMItSYpouNfZFYGVJoxHhvZ5snsufxcwBfFlKfJmYrqVRBVTtYbrag2cWzE+09lXZ3JFxbvhjXB5AGAeO/KIVtq+nvCeaq9evatTlRsHj+5tZ8s2Gas+aLJWvJPvVPPbxjPfTx0BMv/8OTH1/+99/pCCfSz+C9MJPGbE6a6Sb0zoEKCf+/999q+36JufAxarBI74RxSXYJKkLKQpiPNQapPyC7F7rtR+VtwMV9i1zUAprcAUtAF2p5g/4vHRzfQfXhjPwk63InE7yOgydB8CRqgXbUby0xCLntoNgwGjxAQRqCwRxgR0Q72RIVh3X6H560jwnA4j0SF4ZHAYM9BYagwODLRo0QFX7c9rcBaliewf1rL56mM6XKkvUhHkURoEtxYL2G6ASmEtBfpKNJbSFoATFmrjLQc6Wmk86xFGCy4IrJHKhsqZGLfTNyAVciAS0gxJAHXmYGzZsBMpCakbUhPI2m5HKtZjrQB6SjSZd6iCBmRxwpx7RmRh3jWvXhpAS+2xIvzGnmx+5ZgPJ8+K55XTo2LTYiLjR4Trx5ZHs+H5sZze05BiOVGS8GxsnQhHTeZjgtfgSmhx8FKCN6DnxHSQEWigjZRowj27iH+gqePCiIQgQoE2sATOyaQiMVWUGakMXoJ7OChX9GL8RZ6sTvFVvB02c30I9iLdBRJoB/h8yH9EDbQ80znmJYiPY10FOk00iUkLT2Pzzl8PqAfgJW+D/lIpUhNSE8jHUW6hKSj72Mq0b8yKPGU8aVIlP4VU4n+Bbf1F0yt9D3k3qPv4dLORIqKCw5yJpCfYDw5CSbDmWDs6QVR+nbkm+GIKD++aUTUYSEbJkGhkB3JGY3wc0RKFnmi9ONuOeB5pmwUPQsqEsWVnMWZz4KMVIPUjLQCSYvcO8i9AyGk7UjPIKlIiDJMJSSZnkT6PdI7MApJQapB0tO3IjhNlJ6O+Ms9Zen0TfobyECNn6K/5fnv6Qme/47+mudvYO7G/CQ9EXF7oMyE7YB9JMwlzPOxXUNf7R5i98TKbPQo6s6DaT5SKdJMpCakbUhaepRmR9o8dhzkMJxEZ+KhEfic5z+D5/SgLPYo/goEoMwS/4TvIYfJ0/LTfqr4d+zEIkv8jzyGHEv8D2xFjiX+tfcixxL/0juQY4m/bTFyLPHPbUKOJf6ZtchhEqVPHRgy1FM0cwmRy6z0TtTSnailO1FLd4JI72QPfCOytf0kMmIEamyXEhg+whPCGO0ICc0moedIqJ2E7iGhe0mohIS+T0IBEnKRkJuEFBI6TMajKkJE6RlQLFYcJHSShPaQUCcJ+Ukoh4SGkJBMipQo9UamFvKsimfdZczoMP/eJPQ+VupFjXoR8170CUcxPY0U4yUFheTsuHCmm+XZ3SNK4+WREwqWo/m8jh1fx9fwOpxDEvEFvY4weh0HeR0HsGJaitSEdAzpElIMSYvS2bjwbTy1YpqPVIrUhLQB6RKSli/nEhKF5Ykl7uULY4vOTyx8JpJIX8eH/YrrpV5lsOSSAtJNwjYXsbrJTHfMTYsgPR29ud2mt0WJZf/Xln99bQFDmYE+Qrcx1023J/JtkW/QdZPHI/7DnrI08mNwi4T/U6if5GA+Hjp5eSy49CwfAy76c8wLIq567GaN+HM9h0gK67Xf843rgudzV5Qi+5nrsOdPclQkEc8fsebn+z1nXQ963siP6rHmiD9KMDskc9GDrvGePSe56L3YsCviuYdl+z3rXVM8S1y8oT3e8P1OLClWz2z/XM9NOF6la75H6cQx93tKXd/3lMSlxrI++z2jcAmBODsCFzvcxSf1ubGmxzO2rq4oSjqUXN0OXYNupm6crkCXq/PqPLrBOqcuVW/XS/oUvVlv1Ov1Wr2op3rQp7L/5wiwQzhVy89irchSkfMSjf9diJ/RlOgp3AzqIKGaVs8pJ9XqsVaoni+rV+f4osSIF1iNr5xghADVteXq+EB1VBebrRYFqlVdza0NXYQ8EsRalW7BK1htQ5TEWNVGJ/up6CAQYtv4sJPlwzY+HAyCI/2OUkepfZKteHLldyTNibTf/+U4BvCDy9Ud1XMaImNffnlweVAt4Hwshny1+gP2k9JB8g9yuaryIPk7y4INB4VJ5B9Vs1m9MKkyGKyOknouBzL5O8ohdP7O5fR4SjM5kPXuuNyuuFwO9ke5ISxDOYMBcrhcjsHA5UTC5Lo6h1RVdg0ZwmUyZOjkMp0Zcn+Zkzkok5PDZdJDcJLLnEwPMRl1EhdxuVDE7eIiJAtcXMRFsrhI/Q2R/ITIg30iD/KZBHJDxhWXsZxPyljOo8x3/O/Td3/aywMB0j0x2DqP/RzX7KtqR2pWH7qjw8FuFnJXazDxO52/eX5rB8sxtg762ivVVl+l3DVx3nc0z2PNE32VXTCvqraha57SXhmZqEys8rVUBrun1IwpGjDXg31zjan5jsFq2GBj2FxTir6juYg1T2FzFbG5ithcU5QpfC7gUK9p6NJDebBiXjzvpiYjwrYZ7yPl6dKKSRzDE72Oe5yHRBaPmgJB1ewrVy1IrCmvLK+MNaFpsaYU9ptroslxz0Sv8xDZnWiSsNrmK4fAqtWdq8FRtagy/u3ED1atWs0UHk8Dnf/rg21VqtJS2bkKoFodMadaLcVLfJdOh7XNbEvqhGSdyVQVjR2LV47EygmsUhD6BFldCaszGBKC//3+Vydy/g93IfZPpoqbrILOoKC6q2speoTaxI9bhzCwYmdFZxA32EkCpDM5RmLZ7N/r4hnbc5JWrU5wCV2sSuTxntilM6mSvg9TVqBPY6v4sFydgXkNZSnCOCEfyjB2HoV5HuZ5mBdgXiDkK3a/R6BFHoO+yGMyVnp02kpPctRgAP4f7eQE1AplbmRzdHJlYW0KZW5kb2JqCjkgMCBvYmoKICAgODcxMAplbmRvYmoKMTAgMCBvYmoKPDwgL0xlbmd0aCAxMSAwIFIKICAgL0ZpbHRlciAvRmxhdGVEZWNvZGUKPj4Kc3RyZWFtCnicXZFNa8QgEIbv/oo5bg+L+dhuUwiBsr3k0A+a9gcYHVOhUTHmkH9f4yxb6IDC48yr84780j/31kTg78HJASNoY1XAxa1BIow4GcvKCpSR8Up5l7PwjCfxsC0R595qx9oW+EdKLjFscHhSbsQ7BgD8LSgMxk5w+LoMdDSs3v/gjDZCwboOFOp03Yvwr2JG4Fl87FXKm7gdk+yv4nPzCFXmklqSTuHihcQg7ISsLVJ00OoUHUOr/uUbUo1afouQq8tUXRR12WWqiB6JaqKC6ERUEd0TnYjORGeiB6KGqCGqcz/Xl/fO9jHebMs1hOQ4zzpb3U0ai7fv8M7vqrx+AUGfgxQKZW5kc3RyZWFtCmVuZG9iagoxMSAwIG9iagogICAyNTkKZW5kb2JqCjEyIDAgb2JqCjw8IC9UeXBlIC9Gb250RGVzY3JpcHRvcgogICAvRm9udE5hbWUgL1pIRlJVWitBcmlhbE1UCiAgIC9Gb250RmFtaWx5IChBcmlhbCkKICAgL0ZsYWdzIDQKICAgL0ZvbnRCQm94IFsgLTY2NCAtMzI0IDIwMDAgMTAzOSBdCiAgIC9JdGFsaWNBbmdsZSAwCiAgIC9Bc2NlbnQgOTA1CiAgIC9EZXNjZW50IC0yMTEKICAgL0NhcEhlaWdodCAxMDM5CiAgIC9TdGVtViA4MAogICAvU3RlbUggODAKICAgL0ZvbnRGaWxlMiA4IDAgUgo+PgplbmRvYmoKMTMgMCBvYmoKPDwgL1R5cGUgL0ZvbnQKICAgL1N1YnR5cGUgL0NJREZvbnRUeXBlMgogICAvQmFzZUZvbnQgL1pIRlJVWitBcmlhbE1UCiAgIC9DSURTeXN0ZW1JbmZvCiAgIDw8IC9SZWdpc3RyeSAoQWRvYmUpCiAgICAgIC9PcmRlcmluZyAoSWRlbnRpdHkpCiAgICAgIC9TdXBwbGVtZW50IDAKICAgPj4KICAgL0ZvbnREZXNjcmlwdG9yIDEyIDAgUgogICAvVyBbMCBbIDc1MCA1NTYgNTU2IDU1NiA1NTYgNTU2IDU1NiA1NTYgNTU2IF1dCj4+CmVuZG9iago1IDAgb2JqCjw8IC9UeXBlIC9Gb250CiAgIC9TdWJ0eXBlIC9UeXBlMAogICAvQmFzZUZvbnQgL1pIRlJVWitBcmlhbE1UCiAgIC9FbmNvZGluZyAvSWRlbnRpdHktSAogICAvRGVzY2VuZGFudEZvbnRzIFsgMTMgMCBSXQogICAvVG9Vbmljb2RlIDEwIDAgUgo+PgplbmRvYmoKMTQgMCBvYmoKPDwgL0xlbmd0aCAxNSAwIFIKICAgL0ZpbHRlciAvRmxhdGVEZWNvZGUKICAgL0xlbmd0aDEgMTY5NzYKPj4Kc3RyZWFtCnicpXsJeFRVsnCdc7e+vXen9yT0lnRCOns6hEAkNxAiEIGwmkYjYQcXSGTVGSHiAgYUcEFciRswoNLpoCYsz6jjOuMT10HHmck/4jpmZGYUHSXdf53bDcL/Zub73vd3p26de07VWepU1ak6SYAAgBY6gAPfgmvmtcHf/7YRwDeAtWsWrFnlS7701MUA/mYAqXVx25JrDudZ9gDk9wKIY5Zcfd3i9/eSTqR9EnkiSxfNW/jZ001/BSj+AetGLMUK63rNpwAlpfies/SaVeuuP6n/GN9n4nvb1SsWzAPyBpZLfo3vq66Zt65NYxcvAygdie++tmsXtXFTRzyN7zi+5TugbLICfnG2Eow9RElClHpprZIBAp/gQCvxCQJujSgkKHeUhEAmMeICV9h8umaoZor525rJQzVQi2XzGXyUlfotfksuPgjwcMbH9Z9RBPgJfHw/AIFJyc/4vwvvQiE5rlzUZ+nNfjb/lUJeypDszgyn3RVeJCzKXyWuM6zK/1D/QVAf1c4yzgpEg0v1i61L/MvylxSuzb41e6dfbw32Jgd6hnkjDCuL3J7ItMC04AuBF4J8e6A9eGPgxuD/CfyfoBjWFhhyAjnBakMk2KhtNNQHxgWvNCwKXme4PnCboTOwR7vXsC+QIWtlgxgQg26t2+AISIGg1sAT52yX4vZFVrjICtduF3UdposgM9mv6D3V3kySWWTjYALpxYqJHl+klCikibSS7aQL5dNPNOSvvOKpNvOELyqQXd8kncSpZDgjzkYpL+Qp9uZ1mWNmam4k31h8UAoU3EXvzHCFUZ4tjTOau0EZGZ08+G3L4BTzacThawehdqg9/G1L+GQKXxs+aXVWt7S0XxsOj7u8uQ8CKI/M7DEoj+Np/Ek8ozqA4kGEb6/HreztuGKyVht81mqtCiZW94Vi1GOdoVrrYpBRHT7/E+0W6biZzYp9lHaUoTJQiXKcaBgXaAju0f4qoIWWaFkptLSTloxch6OifERlJJSnfisjI0ZU+HinEAoFA5JotzkdvMNht4l80AeTiM+ze9O2HRddEun7a+umDd/8itiIU0qcyLjhhhsnlhSOJLG3Vm9NwvOJrxIfkD9k7dh83bTIxExr8ejZ1z3d9tLiv79haF9QGaiO5JYsvubYlvUfX0UI0687AfiocBgcEFfCJuIl1aSCVpjHkrGWP5J/ElkSHEIObbYstQiE0AybxZrB2Sgx9dJVSjYnyVqtza51AOi0IY2s+HIiB2WSlInscbGNdgRyIttdXS7a5jrlot+40A5sIYedNZmQtstOTtmJ3e2srVF3EveGGccUM9ul0+k3NJXamhpzTe1gdbXFWc0ZzTUatBrSAi3EMqKifBi1owFFmNBEkRXJgc3H5j04NTvxuW/aRQ3LKxKfC4eHPt09oW3ztqEdtGzvnMr6224d+hoXjVp0FwrhSSwyW17bBzLOrNairVXkJpl2yDG5Xz4ufyMLXrlV3iB3YYXAiRIaOmcCosBxGEDOFnQJoiBKvJZKIcKz1cn+nAjv1qTX9fM60Oxb2ms4wcxWxFbRjoqZwSaNcBdxJz4nbv5ZwifO/DSJD/30EbA9+nmOM/pAwN6HsxkKTQLtEGJCv3Bc+EYQvEKrsEHowgoBp4NuiHIhAmfnAm7+f8wlPXpFamTh8I8NKI+65Bd8Hj8GbJBFHusDc/IHpUFXfZ98v2GneZ+wV3tEPmLo9Wg0NjKBXiw2aKcO22d4VnzW86r2Nf0H2hP6H6TvDYYsU5ZdycyO2BWjJWKyP29/y86xTe8xDatVsdGJmN6u6E1Ga5Ox1UiNLivzDM+6MyOkwsqm3ZPti6g4MDyFw0Up7MpSsWIymiJdKB0w47TnWq2okT28zupimpmjk8BPSuz+qUZi9JQMmztsxbDdw/hhJr9GMZgiGnf2srqUNCajw2g53YIuAx3GIDoGxeZS8m21LmWYCR+ZZnxkWWpVu64dUh2HFSeBFFY2GSRSMdIxHD9L+m1Lu+oLVAbABms1m3TcyVCsR9aOUV/r/LVhYPQnwxZrdYs6vFFBKRnZoEY2vFFBYYHaaUnNUDiM7quGWCqYAbRDS5gIohj0ofMwQ0U5cH7VpWSkPIiT/khcI748mPjLLcuI7d1BYhWHFG7jvLFz8rh1sy+vqSFkesn9jzyz4w/ofcOJVxPHbtgygVx9/YZx41YyvduER1wV6oIZ9in59wpENpIZwmJhtcCVWJuNS41tVl4rm/RePd2mT+pprX6qnup76VpluCQR0HJU1OaDbJZL5TaZlz0brLutdK51g/Wg9biVt5ohRLheMlzRUdqBhwAlbkttH8mClCuomWweNKd8wekW9+ST4FLtZxBdQ3V5yvzboTHmnNEYq5w2p7lbWz4yCi1+PEft6EbLnZLqDyykC01KGHdVfWv00osvGj29hA/de1V95XfFdfsTf0PFeR0X+mc+pNp/sZLJjSSiOBKXdZCjVAwRn1AqUOGg5s0D7PxuYYd2zWlUlNrBstKzZvt6ymw5A8Nn/sGeaLbY906ME46i3drBDz8oG6tNE02XSlfqrtTvl/cau4LPGk/IWlEjap0ah3aEscHYYJI0ZtliM9pMNvMI4wjTxabVxuvM72p16+R17jXZm+XN7luzRdlhk9FwZhhXG2823m18zCgYfQa9zWDQm/R2g9ORm2G2kVZbl43abODz51JCDUajHTTGXnJUyQOD2UAN72XmdYkxsV88LvLiprYg8QVLgzTot/tI6njtpVt6AmULUics8xnqRrATFlLuGGVhrS5BbzaE+mitrt5UHG4x3mD+NbFUA76zQw79Swu6l3L1FJMcDmeGnyumwaDFgkqaOviCwZ10xV/e73jxhdYbruxJPPzBtTOvWFzz+/evrJk6IecQeu6pb2x84ndZI289kPgzqT0Q9Q89yE3JaR476TK9wGQ8Ef1VMepoEMpJu7JU8miyhGyHZ1LmhKyJub83/8kij3A3uC8NLXYvCd0autN9l2ePpy/zVc9rmXpRNNgdotuRJw63R91r6a10j/iM+Iqofz7yoZlm55SXWQoNOUq4OJKjBPLx4c6OrMg5k0NzGrKZAypFB3RRNoFsc3Ys+5/ZfHZ2IakABWtN4MWpzfIzI/YzI/YrLk/Ej57pGV7SG7SFzGVgW2HadagYKQqZ71JsumFlIc1wOd8Q9ep366lXT5J6oleMjojeMzVCIq1om3eUEkIqhvvnOsmfnGSqc65zhZNzuivSfg2tBF1a+2AL827h1NtJ5vcH0ZGgGaEjUWMjdQfDqYAlXpJN2qODqZc+yEn2P4c+fGbOwhzaEo62IAduKzt+0wcXC2LymK3h9nI2h9PPohj0RgE1kqkaUYUbjDaIBsWCGfRLWDWikixKht9562hvI5eZm/hKZ5a4CY+3PH5s9gN3vnxJ04rGmeSKEV/lVDXXXzK+wqyjfy6+/+7obc8lerfecklWlVvT0BDfPOf2xqxcX9a08aMT71jLXXk1o2eXh6pyFgGLyJnNzUebywAfFMIJpXZtAVlqXFfwGX+a52W/XRbzC/25DqvXPtVOS+0H7dRutwUDudYMjc+WS4Bm5rWJHSIVG/PzDqLU2c7Iugi6ta2Kv7RYKW4qbi1uK+4o3l7cVazxFZcW02JbwAe+jNIMmsGMpqhsxs9GM5lZTbh9ctpuhlSzsTChqyeDPdkRz65mR2Lcw1BHtxpLRtM2lbIj0hjToZczqV7ONzLKXF+Gn8U9qlHhEwUs+PFQQAmnrYpDq0u9hNDAJj19YNOcFXNv3d7yyJpJiU8TBpL/4lMFl1zaOKnw7f3E2hUeO0O57g3hcPbl981d8mQ47+iGhcfaDRrKv5J4SpAvvbh+liwM9SXWyfqWKWMvL2Bnw+1odzPQbzrgQcV5qWWJZafAyaJbrKE1lkbaaPmcSmqMaOF1DtDabTatLGbYQnY7MJdvdKihooMkHcTx70JFrS4ka86FihpySkM0/z5UnDxYY1YDG9U3Mf+M/qfFX6kqZKgS/bRNPRtHsCI3ZdSxZVftv4S4vdNrJ1xbQNy7Z82/Yv9O2pVwDSwaPXX1SdLPgi8KM3Gd81CfTJAF25Uia1SMaqPW2Y7ZrmjWLuk++QdZbhvWMYyO4iL6UfaIexJXr59kr3ffJ8s2XH9c0HmYGIw6yYgRI2idw42GEGEyMJnAs20YGWb2YzjSnFoVi0baT9dMHhyq+SwVLw6mV9LeMq5ZMSwTl2mXWRc7FruWZYktUX9qeWAxW/HEwwwSU4ZURoF2x89L/FTXPee5xE+JF+MbiXvIWlJ//bzNNy9ZuOnBy6IkD898I3HfTc1n2vZfsvyJx597ZDdOcAfLB9CfOmC34pIynBlzNEs1fC9PIpqIuV5Tb/rSLIhq8G+RjAZRr9PhoigJOUDdUSBJ7OQ/7KgeD6HhcTyrzm2snpxCO7twY88d/RekAefvbDs76s8L+vHUV1MBPpr4PGda9cRVYXbub3m35f6pXjrsyUUjm26OJ7x86MFD45be/IvU+TwzMY1vVc+OEjJFmb82e1M2teoNbWW3GjrKeB/B85ArZekQp5BxdBx3mSlqi+bOHj4bQ7GrTD9YfsiwjjZUOEbnVxRiouxozK8vPKUfcmrvwPXo9AZdgd6QZ3Q47UUGPaZyrhwW4T6jRrhqIGu0qEFgj06fwvkFqQA3mJvCZZFUoCvbM1WXP1dgCuU15TFk1BaxXdDZJZdbLBiuC6HMUalkt9vj2VZGylDFehUtVOT4re7Sc9r1bVq/mHxPQkq9aoe+vTaVuJ71/KBOTh08LusjaniK7sip+qNqBhin4BkA7Whh7apempbZluUuGb44vKwE9RJanILDedbjV6KKpgNUZyWaoZEGfXhEZNh+1tXrSJ0mO3/28qrcDMP6/g9umE/I8y93EGlM25Ftib//+cxNrUvu2Lx00U0NeSPtw/yOsuAVDzz5zLb3iY54nrrnzMVHD19Z03eHkd70q4ceefiJrodQWPOSnwtXCO+CBz5Qptwq32a7zbEbdomvyu9x7+m+4+RcOV+fbxhuG+5YLayWbxU0UobkdGY4ncNpAZcrSPnCfcK98uvcyzqhlkzF4HS6GcgAnGKREYrH4krtkdaAmMxRnK4iXoOhujVibJxrIlNNxKTYXRFTL8lXAtYiLWf6xjgbvgG1K09pFsmy53VJxCR5pVKJk/B06clcnz432i/ISYa+xeP7ZJhhVmhJ+bWWFgz82b2AxQx+n9ORujQQLWYmU76WeMcm3vw68XFiM7meRIhh38LyxO89T6x57Devda3ZTzMvO/Ul2UbmkOXknt1XxBquvfmrxI+Jr77embKL6ejz7ke7MIAb7lUmfEE+13yf8b2df5V+IVCrW3DLNGqenTHbEXXdS3eJuzT36nvl9+nvhY/l9/WfC5+LXxjMezW/ob8VX9K8ohdWa24Tb9ZwFqa2Wp2Tqa2Nl2zVkqc1sy2TZhr94PY0153nACcPpkPscxomLzMvRr+3zMUTpl6kJSNiRYMHuw2CgZxQ7nm6NL1z6MG/kUji9a/vTHzfSXw7ly+/557ly3fSwFYidiZe/eZviZduTu57eN++rgf37WNnWSmu14zrLaAvKv2iRQxq8pwWZ3CXdZft3rx7CmTJ1mCj1iOGPuOr/k+DPxhOB8ThhlmGRYZ7dPda9wb69FJdUMmpDy0JLAxtsm6y3Rq4KUeuCo0XG3STDFNNDf6xASmQkxeq0lf62X1QZY4kagWL7HcZ8vSBQCAo5QSUwpX6dbbr7GuGry7YbL+54H77PQWHAoeChg6yzbnVdV/BrwpihaLT71D8wYhDyfJGvA7yJzw9KzT+ptxtuTRXcWVHcj0slFScFm1tUyEpLSQlhaRwmL/UTMwVxK9qrEmuTWmwtjblXWRUYXd4XS+T/xn0AmrcmPa9auTCbswGIX2pVSkSIhIHCQVG+Bv8M0nUuZAsc54mWuKkvMcfoPkZBj3N98zlCd+Qr2vyEE9DhlQ71II/zIWchZb2THYF9xvm9fy9KRxQryhz2PtAjzcn9e72qO9KJhauMpARgYbALsPdgV8H3guI/oDewPMeSPtVqGAetsdZVEvSSbb6HsiNqLeO2Z6sCJDUvSPfSjrIKcIBMau3kLxKmeFASkKUycCTufwpnrIlOBTs2lHhVLBfp4KdOpXKqoiT5QVOJXc4PrBfk9OrhuC8c5ZHwXPP5CFNnqSHphevXkSqH2bJLe3Mpq9NvaaEkb45TMXV7fhpaVEDxJzk64qss9aa8vGBcvj6WUO13qavZsW4nt1FftWtq1avBwjyo72kbhXR7UYwGs9RbxUxQr/gUtHJYkaMikqJx7p8wTVVuTb7xMSTl63/6NOP3stPfG+Z27yi1JcVIi9Em7/95sMhUhKePis/q8Rnt1kax8y+r/PoHVvKxoz1OoLD7FmLJzXeeuc7MfWeypv8gu4QHkKv8aYyHENiEtQON40yTjJGTZLbDi7OYQenNcNGnFZqIy5OlrSS3sUEbgJnlzPm5FoR9WMe00v4uJ2wAKoH7Ox2HSMovU4u0ZYAntVz0YcihZLv4kJO6yx7rW237aCNa7V12LbbjttO2QSwmW0+W6mNt7k967rOZkSNsSqMo0djHN0HtmT/yGjNZHYDj5G6+Vs3u2AYVG/lkfQkHnKWChN+2E0DsQdTwWOVUw0mUaiWYGVFZa6FXt+vy8vKm+Sa/8tLrq/WyTfeSDx8aCAxc2M4K/Ojgopp48vuIW8NvPt44jaUz1YU0iH1Hm+Feo/XUx6JCOkTn2Gl1uaMgMBu9jqEgdSVXptwSuA7BFwx5UBDuQ8JQIzdOvazs4il6uwOkoflfNnus+s8/4YvpWfsjm8ryVfv+AjoMcZrxdhdR3YpW/Kl13i6S+ojH5P3pVMGPAg9vEvMF6tgpGYCiZJfktWSNkTC0ggySmogk6Rduh/EHyQ5lw9JBdoIP0o7jp+ifYnXXKKdyUe1C/lrtOvIDdq7+Z3SYe37/MfaM1oDx0uSrHXwPr5AW8HXaht42c67taO0U7RXaffyz/Gva0/zstSbPNVjdUX43uSJHruT4QHFrrdECK+VeKAq0oCs4ThseXZ4USTJEVZUTI6cCBeiso1SWRB1unTzKR1hRcWJzboQCDbMDUVB4KiokWUdYDh1TVyskBEpOs2iqYbdhgEDZ+BYNa3QsWrrqdQFI5MzD4v0v0ZdcqtCdrHT2Y3p3Wm1BCWp6BQfm4TicLg9vOmGX28qdqVLZ6MnZ3XKjT6j9cl+dYFxxKBaPjPilvb2awl7VBDiz8jw45Pj9GRDYge59OgrZFJiF7ktsffERzRIucTHJCchD71NJiaeg9Q9McY8OahfbuhURkoaSZbMTo1DvlhzsSxdKs827zTfa9llf8Cx1/yc43f2T8XTos6g12POK+VmyHqdz/CWkRgxhVUCSmZTZmsm15bZkUl9maWZXZn9mXwmQX3zuUvd/W7OzTJdT9nqCzPda0+3pHRvUJWEqn4ZGPE5f868zBj9pUzoLpKvy9j2y/UdHpJfeuOJp9/5cL0tWzh85rNjI+dcs2Tn01z4TCLxw0c7o/MemLX+9Ll7cOJG+8lR7HQk5h0hdtOS2hw3v2RNajaTh6B2MgYP6Yvtn+/j7kG9/0HN5TJhrZIrCn22Phd3sUCWCB9gYGPJNRiNkGlmF2Ym0DjyDkpESuf/LEJTHN7s0uzW7Lbsjmwh22w6/6Ys68KkP5Xzqzao3pKpv+dTf+mDk8JwLZ20B4Nu+vNN2D3k98Q4ff3++fdOufL1Fx49uGbcFRMqu4TDDv8fDm7qXWaxD/2OfzHRWjy/rmmpQYsDb0lczd+r3s9mwf1K8ciMCRnUGuGqDdUZkcx6bqJhYkZ95j8z5dni7HM562npn5kaAqJHTU4l5mIVh05nNhmdfo2nDfNRy3Cj0RQym9UkVdcGHex3bdm1qfisPZVmm0+eDdNSKcTZ38ewXGCxuPj8HJXdVag3sixUxa3PY2nqz9HaFiJWPH1lH6GJM33N26Zi0ua4Y/H8jbcuWLIZk7WmhYk/JoYSpxMfNswa+pLr6znwUM/eR9N5qujGvdRTl6LTcSFNSMfxqjvoUOSsURGtb9ToiMwCiDRWHs8qxlp8iLJG+4n8tZbnZa02g2bxZtmrDdJC3ocHzBK6lF8kX6ldS9fxj8v7tc/Ih7Wn5R+1jt38dnm39hX5de3v6An+A/lD7ef0C/5T+SutYa28TnsT3crfJG/VbqdSs24RvZJfIi/VrqHX8VI9beTr5UbtpZpL5Wat5NKWGCN0FB+RR2trjRJH9bwoy1o79fBOWUpHWV7Kc1pZ0EtSuWjUlwNwZo5qmjSGiI491FUadYaIRjHmRXTsgVUPKmZW0Gk4gvELlbSgYUlzbQ3zO6kAo4WUDJrfG2QVmb3J0UoRjuLj0RuWc7yN43iq02rLOYpFit1wep5SvVYry5LGy1wDMfRIosAfRttjx9dlLaljyzljZkQolxRpg4Zojm3AXTim8+n0tJeOVKzoPxUkBAWJoNzLrtSwGwNzHahOg+Gwueav5hqP2zzUPtRe43GZh8JhrDCfbMfJm1WnirNlTjXtURGpgVJjLGMGHuSa5EC3zjeSXYupn1RcBeF2ZmroP9klvZ9YdpAjGKNK5GhiMPGHxCeJP6KncXFf/NjAb/xpPQPUqYfQPzwhPA0CXKR4miR25vKYC4KGFzwS5c63d7Gs72d7n2JOsPN28lD6yK1Q7yMeIvl0QHj6p4nfp7wPxxDY2IGCnwi6LB9iHr9YcyozmcQnJJNmSFOIMFbFWapvZ/w8zkwECbdVBi3o8Bw3gBG9mRksYIUM7NsODnCCC08AD/o4QPvIUmEvZOF5jz0lT56FxLLkSdbGMP0Kh8hOQfoThyfhdyQfl9xDfsQ+f0BHWgYTcQ7f40wOwhB6UxvMhJ3ECjk46iyYiEG0m4RhK3kguSb5JVwEd8KjyefIxuR+bN8Gr8APOIM/8gSqYArSz4JF8CX3KUST9+OKNuF6RsN04oB58AF+v8M53AV3w3+RXyZ/wFFtsBH7q4E6qEu+kDwDBbCV3y6ckJ9BT3CEiMkFyWUwDALQScPJD5J/ghBE4TF4EucUJv38BPDDVXAL7CJu7hUs3QOPQ4LoaQs3TngeR5oIs2E5rIVO2A9vECtpEk4Ip5K/SH6O8s6AfJzTMviSVJLJ9AlenxyT/Agugz54jR0u+O3nL+P3CpclapMPJV/EPXgONe0oeUEoF+4YujH5SPJp3KkQlKFEpuA48+EmeAFeh7/B3+mG5AaYADNw5JdJNvGREEr8A+qm6+l67l0oxtW24GxXw26M+eJwGI7AMZTN7zHi+5TYSCaZROaTHeTvVE8X0re4B7hD3HuYd/0K5R2EXJTRKngCnoXfwpvwFhGw/1JMdq4kK8i95CEyQGP0a/o9r+Fv4n/ih4RQYiDxU3JK8jvUHw9cAtfDBpTtY9ADh+C/4X34O/wDTmO6NJIsJY+QGBkgX1OZBuhU2kZ30ifoU9wUbgf3Al/Jj+Wv4t/kPxJuFbZI86TEmT2JuxJPJd5OPpd8G3XHiP2HoAEleiNqxRPwPLyLvX8If4A/M/3B/keTOeQKHGUl2UzuJk+Rl8nb5CtcJajfAB1N63HUFfRalNNGehe9G0d/C7/H6Uf0D/Qv9DtO4ALcCK6de4SLcb3cce4zzO9DfDFfxk/l5/BJ3Jly4WJhhrBPOCC8KJwSa8SFYpv4hbRRulnz26GCoT8mILE0EUv0oO5qUJOuR0k8DI+i3h/CPXgDJfrfOOMB+BZ3wYPuJQ/nXU0aSCOZTC4ll5NFZCPZRO4ku8gD5FHyNK4A10AlnHuY1tEZdB5dRG+mm+jt9BB+D9PX6Qf0BB3EmTu5IBfmyriJ3BzuMm45rmEVt567GSW7g9vPvcW9y33OfcEN4q45+WH8av56/j5+L3+If1u4RLgGv48Kzwv9wtvCGeGMSEWPmCWWiFeK+8Q/S6I0QmqSbpPek/6haSNZpABn7oPzPtSNNjiM7qc2fgMZxIpswqN32QFh3IcZaBX/gFougftiZO04Nzt18xmqq1J4zADpKnIEKsnLsEGkeAQBPwBx8jEd4F+iF8H7mGS7+b3ccuEN6ocD6I2206P0CBkLh2gNnU0fxFT8U7IPPkV9Xwd3k6vISjhABskocgOpIhvgPergZpCboSb5KOWJTCaSU4AzgBv5hXAF/McPqYaP4cvEw7yB/yX6p17YiTv6JPyJ/Ap+JELya/RuHHqjeehltqK+3wLM67WgnW1Ae3SjB7lafAsOERFAqhLH8Nejm/4nfCkcRo1CD538PLGMf5j/JFmVLEILQyuDfWh3S+FitJhPUUuO4Tt7uxwtXYu+pBytugnmwEK4Ab3ejmQs+WDypuR1yRXwG+T9kRSSH0kXWkQvctTAa/jdBh+SLWiHF//ndf67T2Ih9MNXxEVySTnaw6CwRtgu7BcOCf8lvCmWobRvhgdQo/+M2qzFFSyAt+Er+J5ocG/cUIgnVR2MxLk3w9U0yh2DccQDbWiz+ejHx6ZXshJ72YjSexDt+Rjaxin0E5fDf8EJPEOduKIFOL4G+2lEOc9F6j24gzeRHqxZiF67AP6C6zaSkXQVjqdgTzvRa/XjnD6Gz9ihqM6rEP1CPZmNfX0Pl8JCHGEENJFu3IFnoRo9az33W5R3DjHDWBIgjyNfK1qoEbKhWviEUChMTEmOpMu4Y3jGJLG+C0+vTLiItOMsTLiOIbCTqVCZmI5zeJdwfIy8o87iProouYlbm7gafgO/wj1R+DVSPX8tfwv/kzJ21kyldsxFNaNHVY+sqoxUlJeVlhQXFYYLhufnhXJzggG/zzssOyvT43axS5cMqwUDbYNep5U1LJDiKIHC8cGGVl8s1BrjQ8EJE4rYe3AeVsw7r6I15sOqhgtpYr5Wlcx3IaWClIv/H0olRamcoyRmXw3UFBX6xgd9sTfrg75eMmdaM5Zvrw9GfbFBtTxZLW9XywYs+/3I4BvvWlrvi5FW3/hYw5qlneNb67G7bp12XHDcIm1RIXRrdVjUYSnmDLZ1E+cYohaoc/yobgoaA04q5gnWj4+5g/VsBjEud/y8hbGmac3j6zP9/mhRYYyMWxCcH4Pg2JgprJLAOHWYmDguJqnD+Jax1cAWX3dhf+fWXjPMbw3rFwYXzru8OcbNi7IxLGEctz7mvP6k6+dX7Nw6rnnT+a2ZXOd41zIfe+3s3OSL9U9rPr/Vz57RKPaBvDS3obWzAYfeikJsnOHD0egt0eYYuQWH9LGVsFWl1rcoOJ7VtF7pi8nBscGlnVe24tZ4OmMw/Tp/3ONR+pID4Bnv65zZHPTHajOD0Xn1Wd026Jx+XY9b8bkvbCkq7DZbUoLtNprSBb3h/MKic21qSSVnpcbp5yRL2IyCE1EhYr4FPpxJcxDXNJI9Fo2EzgUjkQw/UYJcsYW4I8ti8rjWTvMoVs/4Y0KuOejr/A5QA4KDX19YMy9dI+aavwNWZHpyTtWw/Ww5Fg7HCgqYikjjcE9xjmPU98qiwjW9dESwzexDhOKDJpTtvOioEhS/3882eEuvAvPxJdYxrTn17oP5mXFQSsLRGG1lLf1nW+yzWEvH2ZZz7K1B1ORDapxtj2lC535MZkfG+KWjYsTxH5oXpdobZwQbp81p9o3vbE3LtnHmBW+p9pHn2tKlWMa4Zi6Tpks0k1NbUSkvP0fMXpr1MT4Xf0RVqRfGOFRKtYL4GmLm1gmpZ1Tr9/9bnl5Jcx5Tb/IU41LRz2zpWcZGhS98H33B+wWz03dyOF8+RBtnzuns1F7Q1oAOqLOzIehr6GztnIdZ6vygzxzs7KN76d7OtvGtZze0N3l4S2asYWsUF7GUjEJlpTC2O0g2T+tWyOYZc5r7MA3ybZ7ZHMccbFzr2Gh3DrY192G8oqi1lNWySvbiYy/QSFDP41Sj0mf2KQAdaiuvVqjvC3oJqHWas3UEFvTSVJ05NVBIHUjBSHNBL59qUc5S81inSdV1pKjz09QabDGzlsPq34erjakPcxqY0p+vDqqNRYsglemJny2+7qr2/Lmmmu80bo16Yj/6SY2aib390CdDP/54ZsgMmmuRVkZI5Yb4lMYkpsA4M/z444/Xn8sZf/5kiVglzIZJ/CdwJ62GuxjwK6GOy4ZNdD+8ju8gvAo7sW6iij+B2xFmIuxgGOvmIZ6O7aVI70X6rVjWY73aF/Z9D7ZvEfer9A+lx70aF/9bADyLgW9D+BgX+AXOFt81+SmQtwLoHgQw8AhfAxiRxvQagOVxAOsAQMZxAKcLwDUSoR/Aswsgcx1CLy5rM4alNwN4T7C/9VdXnUXfwTjpbszUKGbCJZhhgdRIX8RcmdbpYSZ3kH1pJcYBXu5p7imk9XJP9YjZ3o46A/ckHERARnz6ELoQOFC4J3skQ7nSi9hqU3HcES7vS/ZjYVSFWl90d3nHUe4AhjMVWH0gPotVH+hR6stVXDE6hUvKVBzXpJolW7m3zoNsJQgUTOnSVIRtCLsRnkcQcUIH4E8ISQSO28c9Gm/wYg9PYEemOhv3BC5dwedbCEkEDmf/BK7lCfgmXcPjrB7rkfVs+MdUrkzuMeQy4dOM0IFwEOEtBAFW4HM3QhKBwxKmOgiUe5R7JG72muu03MOwAYFy94OJsF/19HO7esyqbO7rMWWUK3Vm7h5oQqAQ4yZDPwLFbncg2w6gSN4YLypTRdjYozWWm5F+C056C05kCw7ZhU+ivisIjH5LT4aDdX9T3GRR+X4RL42kCj1mV3kTSmEdEG4RtxyTXS8mScsxlPRyCxCzrZ7PLQSDOk+lx2Qu78DxapG8FnOG4dhcxzkwEvdy9Ry7KWFkq+PG1Dir4/kF5bjicZxLJTFxBgyCvZyGk+LlXt8RTlGFv7lH1rH5bY6b7eXHuFs4CWxI1YFUTq/pGKfFndWqK5nZIxvKt9fpuZm4zJkoFi/OkaCUl6sdLY9jR3UWbjyXhYm7l7sKTdSOuIEbpuK93COYLnu5h3pCWd7+I9xdKtedrFMcfkxKtcb0GIzl/XUyNwZbY9wduAF3qINv7wmNxJQjxOVDKQJFGW/A0gZV6Tux1Im71ok71Yk71YmT6kTtA+42bLkNaUq466GNWwvbEXZjmamVPY4C7VMLOfnlfZybc6FgzEdQlARrPT2ykc3MFbdmqGSuHr2xvPYYtxL1fCX2qXCrepyu8hVHuAJ1KYU9rkzG0BZHdT2GKbC6NcjoYFtyjMtCQTDBZHPD4nZvrM6L70yRvUDoG/Q4ExJ9l77PtpvdAqj4N2n8Zhr/dwon++nxlFHQdxgeqMuin7K/raF/gN1YovQIfQlKkeEj2stmQT+kfVCL+AS+L0Tch7gC8eG4/zVvL+3tQYRzfyBucLDF0pfi4ZJ0wZubLjgz0wWro7wul75IX4As7OJ3iHMQv0D7IYD4ecQuxP2YB72G+Bn0WqMRH0rjX9OjTMXpc/RZzMi8tCduZFOIxSWGDsZFhp6OQ+qtqcR7lD5ND4AHSZ+KhzxYu68nlOM1HcH+CH2Cropne611WvoIaSbfIlEX5muIwUofjVexTrbHj/q8fXQ73a64qpRcpUjZw5XmlhaV7uF8ub4iX5Vvj6/OTO9AB7Kbov3SLfisAh9F7UFQELbT2+J8VaxuCNfE1kWhA59daqkVn21qCfBpPtd6Si3V0ltgKgLFPtYjbEDoQLgRj+Ht9HqEXyD8EuEGtWYVwmqEtehN2pCjDTnakKNN5WhDjjbkaEOONpWjTR19NQLjaEWOVuRoRY5WlaMVOVqRoxU5WlUONt9W5GhVOZqQowk5mpCjSeVoQo4m5GhCjiaVowk5mpCjSeVQkENBDgU5FJVDQQ4FORTkUFQOBTkU5FBUjlLkKEWOUuQoVTlKkaMUOUqRo1TlKEWOUuQoVTl8yOFDDh9y+FQOH3L4kMOHHD6Vw4ccPuTwqRxm5DAjhxk5zCqHGTnMyGFGDrPKYVb3ZzUC4xhAjgHkGECOAZVjADkGkGMAOQZUjgHkGECOAbq2mzte9zKyHEeW48hyXGU5jizHkeU4shxXWY4jy3FkOZ5e+ipVGBTVZj3CBoQOBMbbj7z9yNuPvP0qb7+qXqsRGG8MOWLIEUOOmMoRQ44YcsSQI6ZyxJAjhhwxlaMLObqQows5ulSOLuToQo4u5OhSObpUxV2NwDj+90r5v94aeiNp1uBZSzvIcBVvgK9VvB5OqPgG6FbxL2GPin8BG1V8PVSpeC2EVIz9qXgVeDUk7q0y1TnQBUxFmIuwAmE3AguSnkeQ1NJbCH9CSNJKJcCbpKnSbumg9LwkHJQGJGoSp4q7xYPi86JwUBwQqa8ukxpUP4quBbapzw34/AYBDxF81qqlWhrBcSPoZyvxG6ERxTLo+6aAvFVAni8gBwvItgJSJ9OLCa96Oh9UYTjtJc2KPjTGewKhKpQ3Bj3THc9+7fTGQyO8veRoCg1Xwoi/RuhG2IOwEaEKoRyhCCEXwavWFSB9sxJId3kUIQ/Bj+BjQ4DDgXGl1aJR+qiB7Ol52QAyGycvH/mOxPNKEfXG86Yiei6eN99bJ5NnIY9FReQZ3LkDiA/GvSex+akUejLuPYJoX9wbQdQSzytGdFk8701vnYHMAi/PWGem8QxcN8PT497ZSDYt7h2OKBzPCzHqAhwoF1uHk2Y4iTg3zZWTGikY945GFIh7qxm1BvLYxhMRitTpCQgMcz04oW/6SDNPFJ130HuX92tk/wsKFtXjQ18vj+it3F4yW9F6jxY9jMR13nidltHj+dCdxjGGn/Huyb3N+wD2RXKf9d7nLfbeUdSrwerbcd63qUPEvRsxnT+gZHg7vKXeVUUnvSu9k7zzvNO9LblYH/de7j3KpglR0kwPPOttwg4n4ipy496Lc3vVKTZ4r/Mq3jxvte8oky+MTPVbVXSUSQDKU6MXonwLcnuZjs+q6iUWpUA6JW2XLpPGSqOloBSQhknZkk1j1Zg1Ro1eo9VoNKKG11ANaGzsV8RhlkfZRDWdEnn25NWymaZ+BaemWZRoKEyCWAbXSBtnjCWNsf4F0DjfFzs9I9hLtJgtC8GxJGZthMaZY2Mjw429UnJ6rCrcGJOaLmvuJuSOKNbG6GZMRmc295Ikq7olk11LdRO45fbMPiDEfcvt0Si4HGtqXbXWMZbqhvp/8WhNP8/731PX+cXs2M7GGc2x/dnRWDkrJLOjjbEb2aVVHzVRw/j6PmpkKNrcx7dR0/jprJ5vq48i2UmVDLXZiGSQxxCSacaCj5GhPxnLyHCPUnQhZEc6P0NIpzVASKULaQ0qHU8YXfcJ3/j6bp9PpckFOKHSnMiF82hQY5C3vjsUUqmCPtLMqEhz0KdObLjakdeLJEVelYRgXKd25CXqYLGSn0ly0ySV50gq1bE48jONN0Vjyz9LY8tHmvD/52fR2DDpKVu9/iV2D9gaHL8IoTW2Zc1SV6xjvs/XvX51+oIw1Dp/wVKG5y2KrQ4uqo+tD9b7uste+hfNL7HmsmB9N7w0fmZz90vKovp4mVI2PjivPtpTW9Ncd8FYt50bq7nmX3RWwzprZmPV1v2L5jrWXMvGqmNj1bGxapVadazxy5jeNzV3a2BsdNzlKdxDdVrU4dZMf3Ssw9w2hil032i/a33mYR7IPtCFozF9cGzMgMCaiuqK6lgT2hlrMrLL3nSTa/1of+Zhsi/dZMZqS3AsnBUtMCL2b3+NMf+MOc1MVWLKvH+9ZyvZR212wfhl9fiD76tUwO/5lLDyX35W/avP6tWrV7LH6vBKgMZYwYzG2Aj27zmShEO11kexrvhsHcepdd2yPL432Y+NYZwEWcWGY6UwYf8kqmjZb/Zpl9glUZYqrOrxZJevOIYn+AYEzOPo2niJmj7TtT2BXJa/rOopqUxhTFcZjnv85ezPlaqQleHcFFYsRVjYnru9aHtVV25XUVeVyP7Tdg9WevewozResoeDVeGVZwWBxVVRSP3vKo73SDwrWx24ixXC4Wh4JUn9icX/+JCzQj8n2JXpXleq3a86uyGp+pXpTnAnUqOvPsu2Os2kNq5WmVKdpN7OPX7+rFrNumLyRC/9fwGG2DtKCmVuZHN0cmVhbQplbmRvYmoKMTUgMCBvYmoKICAgMTIwNTAKZW5kb2JqCjE2IDAgb2JqCjw8IC9MZW5ndGggMTcgMCBSCiAgIC9GaWx0ZXIgL0ZsYXRlRGVjb2RlCj4+CnN0cmVhbQp4nF2Sy2qEMBSG9z5FltPFoHF0MgMilOnGRS/U9gFicpwRagzRWfj2jfnDFBpQ+DyX5PMkvTQvjRkWln64SbW0sH4w2tE83Z0i1tF1MAnPmR7UEim81Shtkvridp0XGhvTT0lVsfTTB+fFrWz3rKeOnhLGWPruNLnBXNnu+9LiU3u39odGMgvLkrpmmnrf7lXaNzkSS0PxvtE+Pizr3pf9ZXytllgemONIatI0W6nISXOlpMr8qlnV+1UnZPS/eC5Q1vXqJl1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      ],
      "text/plain": [
       "Plot with title \"Shiller: Long Rate\""
      ]
     },
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     },
     "output_type": "display_data"
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   ],
   "source": [
    "par(mfrow=c(3,1))\n",
    "plot( data$Date, as.numeric(data$\"Real Building Cost Index\") , type = \"l\",\n",
    "      xlab = \"\", ylab = \"\", main = \"Shiller: Real Building Cost Index\")\n",
    "plot( data$Date, data$\"U.S. Population Millions\"  , type = \"l\",\n",
    "      xlab = \"\", ylab = \"\", main = \"Shiller: U.S. Population Millions\")\n",
    "plot( data$Date, data$\"Long Rate\"  , type = \"l\",\n",
    "      xlab = \"\", ylab = \"\", main = \"Shiller: Long Rate\")"
   ]
  }
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In case, you needed Case-Shiller, not as a chained index, but in nominal U.S. dollar terms (by cross time-series-analysis using National Realtors Association database), see https://git.io/housing -- and kept current by FRED. The transform into real terms is also treated there by both CPI and PCE, headline and core versions.