municode_March2.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "34db45af",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd \n",
    "import os \n",
    "import time\n",
    "from selenium import webdriver\n",
    "from selenium.webdriver.common.keys import Keys\n",
    "import re\n",
    "import requests"
   ]
  },
  {
   "attachments": {
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     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "id": "d10ba1ac",
   "metadata": {},
   "source": [
    "In this first function list_of_towns() we will be introducing our headless webdriver for Chrome. What that means is in the background, without actually opening up a window for you to see, Selenium will go to the Virginia Municode page https://library.municode.com/VA. From there, it will wait 5 seconds for the page to load. This is an essential step (and why Selenium is such a great webscraping tool!) for sites that generate content via javascript instead of a traditional html/css webpage. Once the 5 seconds has passed, the Selenium scraper looks at the xpath we have designated. An xpath is a precise location on a webpage, like a specific button or div. This location is extracted and saved down into a variable 'data' so that the element we found at the xpath destination can be used. In this first function, we are interested in extracting the links to all of the various towns and counties within Virginia that are listed on Municode. The webpage looks like this:\n",
    "![image.png](attachment:855844e9-4768-4f6f-89e6-43da0e6f6c53.png)\n",
    "Each of the towns and counties listed on this page are buttons that link to their respective pages. What this function does is take all of those links and return a single column dataframe. Finally, we split every value in that column to extract the town/county ID. For example, the link for Accomack County is https://library.municode.com/VA/accomack_county, which we then extract \"accomack_county\" from and save in a second column in the same dataframe."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "9f8893a5",
   "metadata": {},
   "outputs": [],
   "source": [
    "def list_of_towns():\n",
    "    # silence\n",
    "    options = webdriver.ChromeOptions()\n",
    "    options.add_argument(\"headless\")\n",
    "\n",
    "    driver = webdriver.Chrome('/Users/holdenbruce/Downloads/chromedriver3', options=options)\n",
    "\n",
    "    # set implicit wait time so that apis/javascript load before we scrape \n",
    "    driver.implicitly_wait(5) # seconds\n",
    "\n",
    "    # url of the county\n",
    "    url = f\"https://library.municode.com/VA\"\n",
    "    # headers to let them know who i am\n",
    "    headers = {'user-agent': 'class project (hab6xf@virginia.edu)'}\n",
    "    # xpath of the table in the webpage created by javascript \n",
    "    xpathHOME = \"/html/body/div[1]/div[2]/ui-view/div[2]/section/div/div\"\n",
    "\n",
    "    driver.get(url)\n",
    "\n",
    "    # use xpath to get to the table\n",
    "    data = driver.find_elements_by_xpath(xpathHOME)\n",
    "    # links = driver.find_elements_by_tag_name(\"a\")\n",
    "    \n",
    "    # add a delay of 3 seconds in the function\n",
    "    time.sleep(2)\n",
    "    \n",
    "    # use outerHTML to maintain the html/css/javasript code pulled from the webpage \n",
    "    html = data[0].get_attribute(\"outerHTML\")\n",
    "\n",
    "    r1 = re.findall(r\"https://library.municode.com/VA/[\\w\\.-]+\",html)\n",
    "\n",
    "    # convert to dataframe and drop duplicates\n",
    "    towns_list = pd.DataFrame(r1)\n",
    "    towns_list = towns_list.drop_duplicates().reset_index(drop=True)\n",
    "    \n",
    "    town_urls = list_of_towns()\n",
    "    town_urls = town_urls.rename(columns={0:\"urls\"})\n",
    "\n",
    "    splits = town_urls['urls'].str.split(\"/\")#[-1]\n",
    "    for x in range(len(splits)):\n",
    "        town_urls.loc[x,'county'] = splits[x][-1]\n",
    "\n",
    "    return towns_list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "585695a4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>urls</th>\n",
       "      <th>county</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>https://library.municode.com/VA/accomack_county</td>\n",
       "      <td>accomack_county</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>https://library.municode.com/VA/albemarle_county</td>\n",
       "      <td>albemarle_county</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>https://library.municode.com/VA/alexandria</td>\n",
       "      <td>alexandria</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>https://library.municode.com/VA/alleghany_county</td>\n",
       "      <td>alleghany_county</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>https://library.municode.com/VA/altavista</td>\n",
       "      <td>altavista</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>145</th>\n",
       "      <td>https://library.municode.com/VA/windsor</td>\n",
       "      <td>windsor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>https://library.municode.com/VA/wise_county</td>\n",
       "      <td>wise_county</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>147</th>\n",
       "      <td>https://library.municode.com/VA/woodstock</td>\n",
       "      <td>woodstock</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148</th>\n",
       "      <td>https://library.municode.com/VA/wytheville</td>\n",
       "      <td>wytheville</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149</th>\n",
       "      <td>https://library.municode.com/VA/york_county</td>\n",
       "      <td>york_county</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>150 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                 urls            county\n",
       "0     https://library.municode.com/VA/accomack_county   accomack_county\n",
       "1    https://library.municode.com/VA/albemarle_county  albemarle_county\n",
       "2          https://library.municode.com/VA/alexandria        alexandria\n",
       "3    https://library.municode.com/VA/alleghany_county  alleghany_county\n",
       "4           https://library.municode.com/VA/altavista         altavista\n",
       "..                                                ...               ...\n",
       "145           https://library.municode.com/VA/windsor           windsor\n",
       "146       https://library.municode.com/VA/wise_county       wise_county\n",
       "147         https://library.municode.com/VA/woodstock         woodstock\n",
       "148        https://library.municode.com/VA/wytheville        wytheville\n",
       "149       https://library.municode.com/VA/york_county       york_county\n",
       "\n",
       "[150 rows x 2 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "town_urls"
   ]
  },
  {
   "attachments": {
    "44194c9e-5710-4088-84f3-ceecbd8427b7.png": {
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0mP5YuowuXr6scC1dsgQVKpBfn1JhVoe9Ro4xLwiXrxeMQ6aMGalJ44/Jy8vLaKd3/J8/p1l8PWfO+ar7OHj4KFX1Taf2CmcIfXCHOsrXeevWLcqUKROVLvGB3QQ+ety3s2V5wINTfTqxacYWOTGDH8fGVFObXIis+9lbq8C63cPHz1gitnQj8uKA4wy8mnF00/KVq9UUSvCNys8PMGhFGG4mqoGNP9AERIQi2v7lS0v8InIutA3vfKgPr01Ezxle+7d5vqn/m2FMZ9TwodSpfZtQQgEawHrwxedNOJ4l7FS4b3PuxsRNO448D3v37jf1iJ7d/PnyUhL+gQat3fB3mJPQ9XDlKlQw5Ifa3Cmyvq/mMWVfEBAEBIG3gQDi5RJwTMGOXbs4tu2C3VNuYKvC3Pm/06PHT6hsqVJ09+49mjztf4qJ150OMtN6hWMUihQqSKWYfzl09CiNmzSFbtwIieW8yHF0s36bSytWraGsvNZCsaJF2IXJgx6wgDL8u7G0fccuSps6NZUrXZoScpydOb7yn63bmcHfTwXy56Wc2bPTcRYgRoweS7Ds2qN17CL167wFSvgpX66ceo/+wa5Tc38PWXD3CVtGYJkfOWY8HeY5FypQgIoVKWxzyBscc3aZFVyarrKQdI4Vt9YEhZ6vqRz78P5Yvno15c2bm6+7KB09dlzNf8SYcXTz1m0qWrgwXWTh5YefflZ1ekxg9j8ug1BQpGABxrcQHWFvgwFDh5M/x83ZojRpUitBzyuRl3p34f0Vn3kI8AlTp/+PVq1dR6lSpqQyfC8RRzf9x5k2nGRtjfwWypj3ZwIDG7SnDoP/JIgfj+Jy9iFrcnO1r23MnyNtkP/Xi9ABy9bjWB+7sAUjXlzbQop126g6fvbsmeG6AE2mPx/jy7Zm3Tpq82XLcK0Ze/btp3//O0gHDx2io/zggFJz8GpBlj4/Y8k0Xdo0FlOPaPtN/2yl5ctX0qkzZ5R7C/yufTJmoJrVq1OtGtVsZuuZNGUaS7onqGvnTpTQ3Y1mzf6N9nOQ0x32X8yQIQPlzZObPqpXl38kMqmHFv6Ou1krcfDAIaVNQJsK5cpS088a22SO792/T+vWb+Q+ew3XG1xkzpw5qAJrNBp8WM8ubrdv36UtW7fSkSNHlRYCcwITCGa8aqWKVK9ubQu87B2s5B+5v9g9BdS6VQsqzD+MYdG+/f/Rzp27VJO6tWtRyRLFw2putw7a6sVLlhp4oiFckSpVKE8N639IifharGn2r3M5sH23+uFr1eIL62p1vHXbdprDLwFoI74bPsSiTbtgK8eUCePoHAdKz5m/kAN6D6v7qbH7hLU4Zk38lctXacGixbSWtSugwxwA3KbD18a4+fLmYQ3RQ34xnafsHOzW5ZtORp31zpx5vxNMpLbmZt3W1jHcFPGs/jZ3Pv3DzzMCh93cQycOwEJBqAfVqFbVQpumx33T76seR7aCgCAgCEQXAq1btiAoqkYyg5olU0aqzdrpnDlyGNPB79wifs/kZs391x3bq/Lq1apQjz796C9mdrW2vD5bAvDR5MPvbjCcJ06fpuTJk+lius/v7H69ultkGIKggPKunTvajWuAFaNf755K643B0qZJQ3/+tZwusMY/c0YfFFnQU05gAyEgR7as7Dba0aiDUAAho2zJkhxTERLMDE18VAYVQ3nWuWMHY65xXVxoHVtYYHX5un1bNb+KzOv0HzJMCShmaww8VIAZhChQep73r/wO27TlH6petYoq038gANSpWYMgzIHnw74mWFuOnzxF9evVoWrBVvB6dWoRrAqhuW3d6y1uXdik4u6WwOaaBZgGFguLHy+uWjvArPzOkj7kAbOebhwEhThACRPENTIN6eYPHj2hqzcfUEZOmRpd9PemLYbrQsVyZQgmoUlTvldM+HZmJMuzn7MtCuDg6pHfjVEPgnU9JGF8PuIHQVNE26Pfb3Pm048/z9JDqC3cLI4fP6E+R1nS7t2zW6jsOb7n/VT9SrZ6rFm73rg+DACXKXz+2baNZkydQr/Nm69MXOaToH72r7/RoSOHaeLY0eYqJUg0/rSZxZi6gZ4XJOthg/rrYmP7H39B+g8eqrA1CnkH/vxgXN2ZWXREMNjIX77vxo5XQyCgtRBL9OER+mhq8UWQqVEfO7rF/Dt36R6qOTIb/cIZHP5h5nnaxHGhmF648wAbazOxeaA7d++rNhD8rEkLnAsWLqYZP820qNbYAb8vPm9KrVoEXdu6jRtpKf+Amwlz0ASTMX4EV69Zq87brOmnNjMGwQS6YNEidY+qmEzBehxHt5UrVVCCAdpv4RdETRYUrAnlmqqwkGiLXvf7amssKRMEBAFBIDoQwG/vyCEDWYu8npUuO2ji1OnK5aYLM+lw8YHCBpQyZQpmWIMUjjhO7JVYub9gXxOY3xs3b7Ki6C6/l4O02U84mNlMYNSt046ePefLWfi87QoF6J81c2ZDKMAxNO8QDK6x1t6WYODHvAeoQL58aqv/QOkHweDM2XMWggHKozLTUHxWdpvnqYWS/Hnz6KkpAQrt7jEfYiZcuxYKUJ6PFaqgsKw8qoHVn7N8zSBk2NMEvrlC+bIxQzBwcopDcVkChAYvIpQgvv1gQUfHSZU8EbnxomgPn4aYYe7ce0CneX2C6BQMYGoCVWamJ2HChOoDlyJol1ew7509wWDm7F8NoQDuR9VZEoQmHl9SSIeIU8jGX0ZNEW0PVyYtFEAL35g1wmnY3HeSNQHb2E8QTN+adespSdKk1Parlvo0Fts/l/2ljtu3a0OFCxZkbbaH6jsxWPD55PMg7TXm3/arVuSTPh1nRbirNBm7du3mVGoHlCWhOJseNeHZAVMHs11tlopzsZUgSZLEbDU5REuWLSP0g9b34KHDBBcSTTCd9eozwBAoPm/yqWLooYGAELV7734214XP4O/YuZsGDxuphq1UoQJrTjo79Dz78XxBhfgcSZOGZNdShQ78OX3mnJo/mmZkDU8nxjRz5kz8A3md9rLVaC5r1X35h7ZX/0E07rsRNi0tDpwmzCYQCiA4fPtNR8qfN6+yTpw4eZrGTpik0q5COIFmHi+TRhw/gfs0c9avivnPwZqnYYMHGON7sBD2jF8iWtBYs26jshAZDYJ39rGfKIQPEMZ+XYI/bZYsmenMmbOssdloUzBYu369Gh4WK7OPrPmcr/t9NY8h+4KAICAIRDcCsMB+xj7rH7OlGVrsvzgByoTJ39Ogfr1VzADmB996fMxkVsaCD4D7JfgOuCfZS5iRPEVy8xBq/9r1a5SD3YPCouTJLftBM67IrDk2DYBYBxBclszkzXwK6BL79JsJKVqjkhIlsky048IWA5APB36bycWGe713UsvU2lDsuSV0pTt375q7hruPa4blxWzBQacUnBAkRlgMwr2CKGyQzScF56JPaCEYPPV/QTMWbKHc2dJQ6mSeYTJ4j1igOOV7nXw4JiExr7wcQdnG5pX5sQ+a1qLWql7VaAM3BggGe/bsVZJ4cr6BZoKv37z5C1QRmJ2xo4ZbBHciaLlGtSpGl4i2h6vFaDYxgqCl7RccdINj+OHhgx8CmBQxj3JlShnBQmhjpk7t29HHDT8yiup/VI8Dma7TQnYzAYEJmzRutOG2ARePwf370IcNPlFM/NGjx8ksGKBPZw6osaYPihdhP8Q8VK9+Y9Xv1KkzFoLBHPY51EGlA/mHr1LFCsYQKfhHC65X4dEBdvHq1TfIEvEBB1j1NeESXt9zZ31Vk7SpLV27wuun678bO07NH25D/5sykVxdgzT7ifnHHYFaaVKnUgIL3ND+ZFNq40YNdddI3U77fpKFBgR+jCNY89Ss5VfqPAhugmCQkH/A8MHLAoRMQNbPMa6hLGd7gCCHrEFwHbOmdeuDXJFSJE/h0D2y7m8+RjAxBAMInAjAMq9pcItTvKEchGBlW/S631dbY0mZICAICAIxAQH8NteqXk3FBexingP++5qRRiCtPd/7Xez+u5pdRRFfAEUbNO9w1e0zcFCoy3KOE9pl28Pdg12JLLXk1h1tMczWbczHCCAGPWa3UDMhngHk7u5mLiakIo0sunvvPrumx7UYztZ1o4EjyvE790ILALDIwMoSEUJMCSzviDUwn/fevXs2InojMnIsaJs9U0rKmz0dsb3C4mp27TtN3YYvpIMnL1Pgy1cWdTiAYHr2wk3qP+Evat7tJ+o4cA5t3nNKrZMQqnEEC3SAMQIjze4opUoUV5pZDLd6zbpQo8LHTNOAPr0shAJdbt5GtP0pZp40NecgWPPDpMs7dWhrzBF+77YI/ucNG3wYqio/mwM1IU+/WQOBcjCMefMFmdpgMnSUELSUJWuQpgABQprwhdi4ebM6RDCSWSjQbcLb4hp79g4SCiBEDB3Yz2Z8ha1x8KOkhZI0aSMuGOCHGpl9QE0+aWQIBeZz4ZogrIAOc4BTVBDGz5zRJ9TQEETBuIMQWxAR+pB9HUGw2hw6fNSiKzI8wGcSVIMFZ1vPoUWHcA4qVyhntNjALnxm2rQp5Dtlzl5hbvO631fzGLIvCAgCgkBMRCCQ3zN4FzszswxrNAixf/ZIu5gii5B2x9m2Y4e95qHK8d5AUC8yE0UWpc+QTg3138GDFkPCDRcEReSbkhfzNVCMIlOTJlwD4iUik/z8/BRDr8eE1wDOi1gDewSLBLJOmUlbJw4fCXEJQ/2/rER87y0GHm7x6ZPaxWn/EV+LBdSw/sE/e47T1ev3qGSxrFSiQCbKkDqpWvX46vX7dPj0Rdq4/QSdPHOJ/Fnq2rLrBJ32vUEtPi5D9asXCrVQm/mGhLUPn38EGIPq1KphwfRAgq9WtbJy11mxcg01a/qZRf25c76qnwoE5i9XeBTR9idPn1FDIohZ+8RZnwPpJ3PkyEb4wsFtyRbBp9AWM5fCZL5D0K8tQpov0BMOgrJHYPhvcWT/VbZAIHAUgUdgJkGBgYFGNyzaot1RcuXKYZQ7uoNzdO/dVzH3cIkZNXxIuMKYeWxnk3npkdWX1tzO3v45TgmnCStT2qNcHDwGVyoEVkcF5Wa3LXvknSypWpvhkZWmxl57XY6gbQgVWNcB8Qb5TELjlq3bdDOqXj3EAmYURnAHFgK4csEyAEsEAqY1rd0QZJnIy76fsCBZ05t8X63HkmNBQBAQBKILATCYq9esoXzsagsrLhRPh48do33/HVBWdggHiDOAKy5ccidMnsprupTh+FA3lXUH6TcRs5WBXX+RzARxCsg0hPcO3DQdJQTdgn8YM34SLz5Zg5Kw9RuxDUiliYDo16HUnHUH8RObON13woRuKpPR+QvnVUAyXI4Lstvym1LmTFA+buQYzHnsmVGNAjmAeRknaIlseswLoSKbEJR+4G8W/rFEKSOBtT1CdqcTrEREwHEydp+C+1BZTmqDVKU/zZ5NDT76kFLx+w31hzgu8L0XDMCgViyRjYZ8W5+6DplPTwKeG9i+ZAbzpN8VOnvxGi36axc5B6+zgFWSsYLyc05zqhdGe8m9Ll+/S+N+Ws1fKtaIVytkjBORnW07dxrM6sJFS2j9hr8tusP9BwSGCV8es0XhdrCPWQYf20y1xUB8ENH2pzhGAWSLQVIVwX/A1GNuiGmwRRAsbJEzx5po8g4WAPSxI1ucc+Eff9J2DppyhO5yYK0mHzuCiK63tR04dIRxrwpyWjPtxmOrra0ycwac08GBQLba2Ss7FSyooV6n3bTVVmsSkGkJJlpbGYps9XO0LCwTprXVx9Ex8b1EwDdiDRDYCzcxna4OMSwgWGjwgx8ZhGwOEAzgUoQ4FTzDFy5cNCwy1tke9Dnf5Puqx5CtICAICALRjUA8TvBylrXRR00KPfigg4FszLFhmtpx3N8vnGb0X9a+n/gpyGKN3/l6tWuqJqVLlSS4125mV1B8UNeQXYU3bNrM9ZaeGZxgJxQhjqt96y85jegilYNfN+jQprXeZcWisat2nLTzi3WFqVmbVi04qckCxQyDIQZlzZyJ1wxqblJUWg1s6h/eLpRXWM8BGRu//2GGap4zezaVDej8xYtGd2QVsqUYRQOuMdrpHesSZO67cuUqCwc/qCYQbNq0askB4F66S6jth3Xr0NiJk1T6U1TqTFC9e3Sj//34M83jtRVAuFdly5QSwQBgxI3rQvUqF6BjZ67ST/M307PnAQbDj/pAFgQevfDHbpgEv7dyJXJRhWLZwmwXViV8qjXBzeTp1SBNty4zb1esXG0hGKhsr9zAlV1nHKJXQa0cba8zCzxnTUJYpANpAjiTki1y42Dq8CgOr4YdEdq0eSsNHDLU6FKK04+lZv/6ZMm8yYM1GlhUBFl6zPTqFcS5INI+7/rYkS2yJGmav+B39rksFG56Ut1eb7VWXLsE6XJHts/YEqLpJbu78XfaJuH51uTPi81EhJ77h9/e1TX8+xmRc+q2iKmBYIDvAV4wYM4RA6B9/mvVrK6bvvG2bOnSNILGqHE2bNzEWZS+oI2bNhvjlmfNmC16o++rrQGlTBAQBASBaEAAmv5JnO0PWuiHHE+YkF13bWWsA1PbvFlTak5NeQ2DuyotPLLkaCUQ3Ie6fduZnvG7A+4rsPKjDqmzzfTD1EnmQ4t9WCXwgbX/8ZPHhBz8EFJAtvohcYetcvOg8Gb4kn/XW37xOSczuaMyKekxdTsIJeGNo9va2sIF+mN2oUJsGrDTrlTmtn2YGbcmLGJm67zjR4+ybqrw7NDmK7XeA4QGW/fIulNG9iCZymnFMS/MSfeBUg8LtCHr5UNOE540aRIltIRwDNYjvWfHEDRbf1pWrV+watMhOnn2CsEe4Ajh5qRLlYRqVihIXzYuRUkTuzvSLVSb69dv8GqC+1X5500+42xCQf701g03bdmi3CvgZ/1N545G6ipE3G9nX76zvkEuRdb9rI8j2l67D2GRjbDoQnB9ylRB/uVhtY2Muqu8kMooXtwEVKRwIRrEQcoIrDHTGnYRsRYM8GXRdJHzH2MVxIgQfOt7d+9K7Tp2Vr7wA4cOp9k//WAEaDkyVtGihVWALbT5SO1mHYgb1hhYuETTVfbF1/dHl+ktcjtr0sFj+ji87aUrIX3DaxvZ9fix10HIiKmBYAABEAR3ubJlSkfaKREQjWxSGzdtUlY6CAbrWUAAlWGhwcMj9Hf6Tb+vkTZ5GUgQEAQEgUhCQGdBdGS4xIkT220GBtQWY2y3g40KV17YDJ/IJAgpYVm5HT0XgnRB1tp/HEfG+OHNw5yyNLy2ep725oWsTvG9kxrDiGBgQEHk7eVGHZqWp+pl8tAKFg6WbfiX/C7dNLUIvZuIMxF9WKUQ1atSkPJmS63WXAjdyrGSVexLDQLT83mTTwzXCeveadKkUoIByqHd1AuJZM+WRTWF3zyWEbdmjq3HiWj7DOnShjs+/PvhjgGyzk+sCqPgz+49e40g3l49utq8bl82kVoTYjZ0qkpfB4Up8xh9enZjTUYiGsJrI3zZpr1yK0LKUnM2JXN7W/tY8lxrnfsPGkpTeb0BzMsRMgsC8ME0H5v761UXkblIa3VQ7xqcGQjPij2yTuNmr93rliNoKixCEDKyE8FNDILTBmbcQZUqVXjjl471eatw1iEIBgh4xtoFWpCsXrWSdVN1/KbfV5uDSqEgIAgIAoJAjEUArkJQCu3hlNlYMTg2UrQIBodXD7XEklXungnDlgqnDW7CPv0hgaMYwCtR2C4MB1YMsjwPH8Vjtwr3hPFDlesCV17TIHe2VJQtU3Jq2bAU7T7kS9v2nqYbtx/QFQ46BrkljMeByN70QZHMVLJgRkqW2MNYgE2PE9EtGGodqKKYnjDcgbCCHXL8IwUl1jTQgkG2rFmN006aOp369+lpHNvaiWh7czzD9//7kXozE25Ni/9Yqla+RXlxXur7bRBiQTQh/sOatm0PiduwrkO+ZAgyWDW4DvtIZvTxsW5i9zgOzExMMD9+y6s5T5g0Rd2Tn3ktiS9bNld14f35oHhRta4EXImQonbshMk2cbU1DlKRgtkHAzt9xkwqysFH1hoaZE1aF+yT/0Exy/uRhYO5QOf9LrD5+KlKI2o+D+akLVjm8sjYx4I4IGSweM5mzHg6D7XV4OYg5CVLl9tM42vucpYD6J4HBqiAOHuCkrm9eR/BWxDK4bo09fv/qSocf1C8mLmZ2o+M72uoQaVAEBAEBAFBIEYjAMXRwUNHKDu/95t80vitzhXxBFBGRjXZ8UqO2tN6s6uNxcfLnRmDsGUUT48Eln14DKyYHBZZnCP4nJ7uCVhrGsTQ2esLUxAEiOTeHlSnYj76rmcDmjW6Ba395Rv1WTK9PU3o34ga1yhM6VImYWYsaFVme+M5Ur6XpU+4k4AcWbCpdo0g/2owtdo/Hf70SLsJWr9hI/04c7ZFmkhoXMEAP3z4SLWJaPtUqVLSp8FfBGSKgd++DoaGXyKsF1OmTVdjQ3ApXaqE2o/qP2aXKwTR+Jv84iHdD+Ulvu0RMj9p6jtgCGHhLN0fOX737f9PaY91G3tbrCYNtxfQr5yVAFkZHCFo8Ht0+cZoClz7DRqqUnQGBITEcuCeYS4zZ/3CC4AFxRag79cd2qm+EA5GjxmvAmdRgLkjAGwwB0iDwOA2b9ZE7es/eqE7MMLjJk42xkVfCBTAI6rIvIANVsIGo22L8F3Uq07rNTogDOXOnStUc4zRonVbatOehTTOmBFRgr+pznKE4H4QhHRbFpzI+L5GdH7SXhAQBAQBQSB6EWjSuBGN5gyE33TqoGIY3+ZsRg4ZxC61laP8lGFz41F+ejmBRgDpR0GK6eG0WuFRuXJlaPzEKUq7CcZKM3mwEjx5+kQtgvbb3HmED9YNCPAPMNxtEOiifaYj2v4LTpF6jBergrXihxk/qQ/G12k/MW8E1HZlDfrboiyZM6pVf33P+apUrlh1EelDIdljXmCKta+69ZywCNiEsd/Rt916Ks17l+69VBNk+dGCGnzMsVhbeNS727d08sQplTFqyPCRNGvG/xz64cC9m86BWD15kTTMF64z+IC0Btt8bgQ36Qw9sDg0rP8RC3x/qtz+iDtBHxAYfk29e3UP5WKVNUsWKsUZJJDFCYIkVq5OnNhL4ab7IWYDwlJkU66c2Yxrg6Vl5uxfCKtNwm9y/BhLQU4HIes52As6vno9iJlHO+vF73Tf8LZYqwALwWmyt6hZZH1f9XlkKwgIAoKAICAIxAQEwla5x4QZvuEcnjFDfOvuI7X+wBsOFWXdoQHezAHFoLrBCzuFdzK4jGBNA9CatesNjSsy0AwbPIA1+40MYQHMpmYSoWkFI68pou0RpDl5/Bhq0/pLI0WmFgowbt3ateiXn2cQFimJCrK14iG0ytPYNx+ZiDRhDQXMC4wtVuXVlgGdMUm3wxbuKuPHfKeEB42NFgrAZBfg7AiOENKPDhsyQDXFuUfxqsSOEnIs/zbrJ5UNx5x6VN83jIO5wCJk7Xbzdcd2vIbCUGORFvTR/RDcPG/ObCpfNnSgLjTkQwf2Z2xqqmcCfSBMgSDc9ezWhRBHERWE+Jcfpk0mnboWeMHy9dTG+hQIQoYAo6manRWIT506o5tQyRIfGPsR2cF90HPCfUBmDGuKzO+r9dhyLAgIAoKAICAIRCcCTmx+t23Dj85ZReK5j5y6TNv2n6GmH35A7q72Ywsi8ZQxaigwMcjHDmYyKS9soS0F9iYZ0fYIXL3MOXWTJ0vO49vPUGDvfJFdHhAQSBfOX+AUak6UMmUK9psPOw7F1vkv8aqLTx49pkReiTg1WFIjTZqttlFVBtesGzdu0uPHj8mN0626c1YcpH2DEBQWIUUcrt/dzZ1SpU4ZbnvzWEgFeuPmLZVRwZszFIR3LnPfN9mHOxoEEg8WrFKnTm0T73advlHxCMgENXqEVYxS8MlVPub5C5S1aMa0KW8yJekrCAgCgsA7iQBYOizkiXfILf49z8zZCoUEgYggEKtdiZDb/b9jF+nPdfupZtm85J7m/RMM4HKi3YwceTAi2h6aX3xiCsECkjlLpjeaDlYJjG6CQPM6VhdYkiJyv83XiRWA8XnbBPclfOyRn995JRSgvmb1avaacUDYIVUH1yMhQUAQEAQEAUFAEIg4ArFOMECGmp3/naMtu07SE3Yj2v3fWTp74ToNm7aCUiZPzNmEEtNHVQtSkkRuEUdLeggCgsBbR+DnX+aoc8K9CeldbRECxpHhCO5W1aoEudjZaidlgoAgIAi8LwjAci4kCEQUgWgRDJ7XqhfReYbbPt6UCUScfhFfg8zpk7FwcJYWrdrDaUbvc3wB0aq//6MsGVJR97Y1LNYaeMVZXgIWLwl3/Ig2iLdyWUS7SHtBQBBgBOAOBssP3NTmLlhkxN+0+KKpTTcjgIZVLadPmciL4biGSrsqoAoCgoAg8D4h4OQUR7mCInMdstvZyqz2PuEh1xoxBKJFMHh5JSR7SMSma7/1K9YYQiiAX3RKb0/6pkUVSpbEk/qNW0wvOf1ifF6fYDKvhZAna2rLdKX3WXCIgvnYn6nUCAKCQFgIjBozTmVJMrepUL4cVQ3HEmArhal5DNkXBAQBQSC2I6Bjw5xZKEBs4bVr1ygFZ3yzTloR23GQ63t9BKJFMEiwZd3rz9heTw5cNJMLm9AuXb1Dadh9yJsXIDt76RqdPX+T8mVPY25GTm1bU4KWzS3K5EAQEASiDwHzIm1Ymbo0Z5uCtUC/8KJvZnJmQUAQEARiPgJYq8klblxlSYXl9TinGH/69Cm9ePHCyGAY869CZhhdCMTarEQBAS9p/M/rqMIHOcgnTVLauu80nWdB4esvKoa7MFp03Qw5ryAgCAQhAHeily/Z0scuQkKCgCAgCAgCjiOAzEQvXrzkVeX9lUCAGCysMP/y5Ut6Bd9qIUEgDARirWCAjEQPHj2lRB4JWdOIlWBf0sNHT3g5aXd1HAYmUiUICAKCgCAgCAgCgsA7i4AWDl68CKRAjjN4AaEgdmenf2fvVUybeKwVDGIa0DIfQUAQEAQEAUFAEBAE3hYCEATwgaIU9OrVy7d1ajnPO4yACAbv8M2TqQsCgoAgIAgIAoKAIBAWAmIpCAsdqbNGIFqCj60nIceCgCAgCAgCgoAgIAgIApGPgCRuiHxMY/OIcWLzxcm1CQKCgCAgCAgCgoAgIAgIAoKAYwiIYOAYTtJKEBAEBAFBQBAQBAQBQUAQiNUIiGAQq2+vXJwgIAgIAoKAICAICAKCgCDgGAIiGDiGk7QSBAQBQUAQEAQEAUFAEBAEYjUCIhjE6tsrFycICAKCgCAgCAgCgoAgIAg4hoAIBo7hJK0EAUFAEBAEBAFBQBAQBASBWI2ACAax+vbKxQkCgoAgIAgIAoKAICAICAKOISCCgWM4SStBQBAQBAQBQUAQEAQEAUEgViMggkGsvr1ycYKAICAICAKCgCAgCAgCgoBjCIhg4BhO0koQEAQEAUFAEBAEBAFBQBCI1QiIYBCrb69cnCAgCAgCgoAgIAgIAoKAIOAYAiIYOIaTtBIEBAFBQBAQBAQBQUAQEARiNQJO6TLneBWrr5Avbur478jT05MSJEhAceLEIScnp9h+yXJ9goAgIAgIAoKAICAICAKCQIQQcHF2cYlQh3exsbe3NyVKlEgJBs7OziIYvIs3UeYsCAgCgoAgIAgIAoKAIBClCLiAUY7tBKHAy8uLXF1dSQSD2H635foEAUFAEBAEBAFBQBAQBF4HARcnp9gfZgAXIggFCRMmFMHgdZ4S6SMICAKCgCAgCAgCgoAgEOsRYMEg9vvbw0pg/rwP1xzrn1y5QEFAEBAEBAFBQBAQBASBSEUg9gcYMFwQBKw/kYqiDCYICAKCgCAgCAgCgoAgIAi84wjEfj+id/wGyfQFAUFAEBAEBAFBQBAQBASBt4GACAZvA2U5hyAgCAgCgoAgIAgIAoKAIBDDERDBIIbfIJmeICAICAKCgCAgCAgCgoAg8DYQEMHgbaAs5xAEBAFBQBAQBAQBQUAQEARiOAIiGMTwGyTTEwQEAUFAEBAEBAFBQBAQBN4GAiIYvA2U5RyCgCAgCAgCgoAgIAgIAoJADEdABAMHbtDde/foyOGjdPr0aXry5IkDPew3WfLnn/TLr7/Zb/CGNc+fP6f//TCDvu78DfXs2ZsePnxkd8T79++r6wqrjd3Opgr079qjJ129elWVnj5zlk6cPGlqIbuCgCAgCAgCgoAgIAgIAjEdgfdiHYPXvQmnTp2miVOm0NUrly2G6NunLxUpXMiizNGDGzduEgSNqKKFixbTzp076ctWLcnZxYU8PNxDnWrX7r3065zf1HXFj+9K/v5PKX0GH2rXpjXlyJ49VPvwCgJfBNK5s2fomb+/arp02TJ6ygLUgP79wusq9YKAICAICAKCgCAgCAgCMQSBKBUM4sWLR4ULFaA9e/bTi5cvYsglOzaNc+d8qWfvXlS0SFEaxAxu8uTJKTDwBR06fIhy58rl2CDR0Or06TNU4oMPqEyZMjbPDqvHd6NHUbWq1ah/n96UKlUqZVWYNXs2DRo8lMaPH0upU6a02dfRwvbt2xG9eLfut6PXJu0EAUFAEBAEBAFBQBCIrQhEqWCQMkUKqluzBmXKmJEW/L74nRIOZv/yi9Ki9+rZg+LECfK4cnFxpkIFCxrPAtx21m/YwMLCEXLhNvny56MqlSsb7dEQ2vktW7YoF6R8efMwBi+N/tjxZy37ug0b6fChQ+Tu7k4lS5YM0xoBK8a27dvJz8+PMmfOTOXKlSWfDBnUOMtXrKCTp07R3bt3aMKEiVSDsbe2APz008+UJ3ceav3Vl8Y8YVXo1LEDnfX1pXlz51O3rt+qOc78eRZVqlSR9u7dR4cPH6ZSpUqyQFGVHj96RAsXLyYIT4kTe1H58uVVe/1n+9ZtFMiCQc0a1enBw4f0M4/T6OOGtGTpMrrJFpM8eXJTmdKlKWXKFKoL2mxgHE/ytT17+owKFMhPlStVMqwd69atJ09PT7rHrk979uzhck8WfopTsWJFjWt4ybiuXrOGjh09Rg95funTpaOWLVuo+ps3b9LGv/+mkydPUdq0afkeVaL06dOrc1+7dp22bttGx44d47bOlDGjD9X/6ENKmDChqpc/goAgIAgIAoKAICAIvC8IvJUYgzw5c9AnjRuSMzNe7wKB4T985DDVrVXLYDyt5w1GdMLEyfTTzJmUPFky8mHhZ968+fTDjB+Nptu371DaeW/vpCxQFKC1zOBu2LDeqH/16hVNnvo9Lf9rOeXIkZ2SJElCw0cMpz379hltzDvw24cV4+jx41S0WDG6wj79vXr3pQsXLqhmib0Sk5urq7IC5MuXj7wSeZm7E+Z86swpxZRrYUc3cHJyokrM4J9llyBNOzD/70bT3v37WVgpTBmYmcYYvfv2YwZ9L49Tio+Jhg4bpruoLeZ54sRxtf/s6VPa8s8W6tKtBz188IAKsQVp244dNGb8eKPPvbt36ciRowqj4sWK0IrlK+jPpUuNeow3cfIUWrRwEWXPlo3c3BLSd2NG04GDB1UbzGncuPG0kOvTsEDwQfFiFMfZWd07CDEDBg6ifw8cZEGiGAtN96j/gIF048YNZQFC3XHGs3y5clSkSGEuv05x48Y1zi07goAgIAgIAoKAICAIvC8IRKnFwAyiFg7eBcvBtevX1dTTpk1jvgSL/VOsmd+1eyeNHD6cmfocqi4XC0D9BgygOrVrs2Y6DSHQuFDBwtSKNdegOnVqU4OPP1b7+IMxduzYTqOZ+c6aJbMqv8/M8+pVq6lYkSJGO70zf/7vVCB/ARo4oL8qqs0WgYGDBtPCRX8oLT+0+6vWrqUsWbIoTb/up7dXrgQFB6exc11wl7p2/ZqyPsSPH191i5cgAY0aPswQkCC0XLx0kUaPGkVZs2alqmxByJjRh+bMnaNPY3Nbo3o1+qLZ56ouV86c1KNXL4ImPxkLVdDem+MR/J8H0OrVa6jZ502NsRAH8fNPMwxN/vXrNwiCFyw4Z8+epR27dlrgqDuuYWHs7r37NGniBIJrW7WqVahDx060la0a1Rm/m7duqHnBGgLCPIUEAUFAEBAEBAFBQBB4HxF4a4IBwH1XhANXZoZBT589U1tbf+BGA8rGGmxNuYJjD876nqM0aVLTOd5+3jSEuYWWHm48ms75+qndjexGgw/ogt95On/xotq3/gM3ocbskqMJWv7ChQrRShYkHKE4cZxUsxccK2GLbF1vaXZtMlsXLl+8pLrCjUlTjuwhGOgy623u3LmNIt0XFg8IBrCcHGJXJbhJ3WbrwZVLlxTDbnTgnUwZMxlCAcqzZs1Mhw4dVk3O8r3wZPciLVypwuA/51hogBUF7kyanvs/p3PsioXyGtVr0Njx42jnrt1UiwWFnCzcCQkCgoAgIAgIAoKAIPA+IvBWXInMwEI4KFgov7koxu17e3sTsvVcOB/komNrgg/ZLz5lipQWTDMYdTCoj7nuxYugWAIvdu8xU5LEIceP2M0FhABg/SlZsgQLE5+Zu6h9uMtAa56E3ZLMlMA1gfLjN5fZ2wcTDrrEjLctuszlmL+2FqCNp6eHRdOnHBORxCuJxXUnNl2TRWPTQepU9gOap34/jUaOGk3+LIhlY2uHFhxM3ZWgZT52oiAhB2UP2MpiLyYA8QZu7m4GvsC5bt06VKZUKTUcYi1g9XnFwfF9+vWlYSNGElzJhAQBQUAQEAQEAUFAEHjfEHirFgOAe+HSZfYnPxajcQaDn5N9/lesXEUVKlQwgmDNk07NFgG43TxlH3pX1jyDkIb0wcMHlJwFBgQqg8k+yf7xFSuUV/X4c/zEScqYKaM6zpw5k9oW5PgDHQyrCmz8gdYegshFCCtlQhr4stXBnmtQSKugPfjOFyxQkNawuxHcjswCAJjrTZs2U4kSJay7WRwnT+ZNd+7doVu3bhEEKBCChl+XEPz796a/qWP7Dob708+zZkdouEwZfWj+Ast7oQeAW9XGjRuVG5fZ8qHrsYUrGD6wAnXt3o0DkY+rAGhzG9kXBAQBQUAQEAQEAUEgtiPwVi0GEApm/TqHnoXhohNTAG/fri1r6J/RsGHDlS87GGEErO5ilxNolIsVLaoY/6nTprOv/C0Cgzt16jRK5p2c8ufLqy6jfPlyHHi7VWXEgT891hiAT7um7OyjD+37TzN/VoG0wMWXMwMd5AxFtqhGjZr0x59LaN/+f1WWo+07dnJA81qqzn7+jlLTJk1UjMB3o8eocTB3XNOwkaPoMQs5jRs3CnOowhyEDJrFzPslvp8HDhygFZwN6XXJI5Gn6nrz1k0lZCGGYd36ILcqR8fMxmsvQAhDgDIWWYOQA4xAxTngGMLaDA4KP89CFYKRsVgdAraxWN2WrVuVxSUgIIBu3bmt+lhbSVSh/BEEBAFBQBAQBAQBQSCWI/DWLAbvklCAew63GwT5/vHnUprx44+KuUQ5GPmJHMiKFJ+DBg7gBdCmUuu2bVDFbjDZqF+/PkZWm0aNG7MwcYumfv+9qk+fwYeqValKdzntJsiN05MOHT6UpvIYg4cMUWX40+zzZixc5DOO9U7tWjWY6b2vMhehDO5On37yKVWqWEE3IRensGW9TGytmDRhgsqehAxIehykEJ06eSIl9grJZIQF0kIcdoJOgfqePXrR9OnTqFPnr1XhZ59+puIpYGkBYatdfXSZqrD6gzbw80f/efPn0e8LFyoGv2XzZjT9hx+M1ubxTIXGrqeHBw0ePIimMI7tO3ZU5RDQivwwnbJz/EPf3r3p19/m0Nr161QdcOvHZV58LXPnzOP7OdEYq2GDjyljxiCLjlEoO4KAICAICAKCgCAgCLwHCDhlzVPoVVRdJ3LJt/uqpXIfik5LwfoVSzjffmLlh+7MaSzDYlZtYYHg2HvsJhSPXXHAzFsTNO3OzAwnCA5atq7HWgXPOdMOhAl7BCsENNjI12/P5UX3RbwBtOKJEiWK8LXoMbB903GAibu7h3KbMo/7OvvQ2D9+/Nih6w9rfFhdgDdwtL7PwDcwMFCtF2HG+D4LarjHb4pnWPOSOkFAEBAEBAFBQBAQBGI6AlEqGCAgtGKFsrRh4+ZodR96U8Egpt9EmZ8gIAgIAoKAICAICAKCgCDwpghEqSsRNLQrVq550zlKf0FAEBAEBAFBQBAQBAQBQUAQiGIEwnZIj+KTy/CCgCAgCAgCgoAgIAgIAoKAIBAzEBDBIGbcB5mFICAICAKCgCAgCAgCgoAgEK0IiGAQrfDLyQUBQUAQEAQEAUFAEBAEBIGYgYAIBjHjPsgsBAFBQBAQBAQBQUAQEAQEgWhFQASDaIVfTi4ICAKCgCAgCAgCgoAgIAjEDAREMIgZ90FmIQgIAoKAICAICAKCgCAgCEQrAiIYRCv8cnJBQBAQBAQBQUAQEAQEAUEgZiAggkHMuA8yC0FAEBAEBAFBQBAQBAQBQSBaERDBIFrhl5MLAoKAICAICAKCgCAgCAgCMQMBEQxixn2QWQgCgoAgIAgIAoKAICAICALRioAIBtEKv5xcEBAEBAFBQBAQBAQBQUAQiBkIuMSMaUTtLB4+fETOzi4UEBDIW2dycnKK2hPK6IKAICAICAJvFYGjR49QyZIl3+o55WSCgCAgCMQ2BMRiENvuqFyPICAICAKCgCAgCAgCgoAg8BoIuMz+YcprdJMugoAgIAgIAoKAICAICAKCgCAQmxBwad6mU2y6HpvXsmT+rzbLpVAQEAQEAUFAEBAEBAFBQBAQBIIQEFcieRIEAUFAEBAEBAFBQBAQBAQBQYBEMJCHQBAQBAQBQUAQEAQEAUFAEBAERDCQZ0AQEAQEAUFAEBAEBAFBQBAQBEgEA3kIBAFBQBAQBAQBQUAQEAQEAUFABAN5BgQBQUAQEAQEAUFAEBAEBAFBgBGQGAN5DAQBQUAQEAQEAUFAEBAEBAFBQAQDeQYEAUFAEBAEBAFBQBAQBAQBQUAsBvIMCAKCgCAgCAgCgoAgIAgIAoIAIyCuRPIYCAKCgCAgCAgCgoAgIAgIAoIAuQgGgoAgIAgIAu83Ajt27qYTJ0+GAiF+ggRUoVwZSp0qVag6KRAEBAFBQBCIfQiIYBD77ulrX9FD/xfkdyeAUni4UHJ3y0dj/+Wn9DzwJRVKnZDix3WyOMeRa8/o1SuibN7xLeqeB76ikzf9KRWP5201nsUAfHDhXgA94vPnSpHAoopPSQf43FceBlCB1K6U3iuuRX14B1cfBNChq88oYTwnKp7OjeK5WM4d/fdcfEzOceJQ4TSuoYYLr3949dYDAqukCZ0plafldfjd9aeDPM9kCV0ob6oE5BHfmXDtx68/I09XZ8pgdd1n7/jT0+evKE/KILyuPwykG48C1emc+BKBeVI3y3sY0TbmufskiavmdI7P+9j/FaX2DD3+MZ5rwnhxyCdxPDrF992f778tcovvRIEvSN0LtBWKfgSm//gjFSlYkNzc3Cwms237Dlq67C8a0Lc35c2T26JODgQBQUAQEARiHwKWnEPsuz65ogggsPrEQ2r9qy81K5ucJtdLY/Q8c8ufKo0/oY6H1k9LnUolM+oCXr6i0mOOq+MPiyWl2Y3TG3WHmVFEvy8rpKCxtVMb5dY7wzdepzGrrrBjmxPdG1PAqF5w4C61XXSR6BlzkcGUO5M7bWidhVythBNdr7e3HwfS579foB1H7+siNf6vLTJR3Vyeqmzn+cdUY8bZkPGZKd/WIatitsPrH159yElD9qZsv0n9l1yiMY0z0FfFkqiKdaceUqNffEPmENz8+6Y+VCajO5UZe5yyZnCjvV9nCxmI9wpPPUN0/zndG1dQlQ/ecI3mbbtp0YYSxaMNfL1F0gUJPK/dhkf93+c+9EmBxFT4R196deMpUdL4dKd3Ltwyg0qOPUEpU7rSia7ZqdhE1j6b7pvRCDssQJbmdtuO3acDfXKyIBHfoloO3j4CL1++pIb1P6I0aSy/p/cmTqZLly7RkOEjadL4MWI5ePu3JsrOePPmLZq/YAHFcXamDu3akhM0CjGUfH19ac/efXTixAmKFy8epUuXjmrXqkVeXoli6IxDT2vlqlV09uw5+qDEB1SsSJHQDaREEIghCIhgEM6NwAtz9JixlDdfXqpVo4bR+vr16zTjx5+oZs0a9CIwkNauW2/UYad82XJUpmxpGjN2LD175k9xWPN7o0IAAEAASURBVCPt5eVFpUuVpPz58xttt+/YQX//vYlu37lNaVKnpqpVqqj6RYsX0+3bd6htm9YWbf/77z86d86XsmXLRiU+KG4xFvqcOHGSGjZsSDlzZDf6TZo8mfLny0fly5c3yiKy8/2OW0bz8TtuWwgGRgXvLN1zm/aVTGYwouY6W/uwENT/5TztOWli3k0Nfz94j6A271glJWVmRvTbjdfo6LlHNH3nLepSNkQ4MXUxdi+xpWDH8QeUJ7M7tSyalE7ceEYz/r5OzX7zo3sj8xHLM1Rj7nnFvHavmZqg3J6w+grV4Xrf7jkovP7h1RsTCd6BINF/6WUij7jUqmiQUPD32UfU6Adm8Jkal0hGpTK60SVm9mf9e5fK87xfsMUgolSPrzVD4riEsY/wp/Lkk3RndAELBt6RNnWKJOH7mNA4/QcZQvZV4W1/Gr35BvWqkNxoY94ZXTcN3Q8WDIb/xdfNlpq+jDMoXaK4VJqFnjwsGDSZd4G2szAmFDMRqFG1CjmxOfAM/+Zs2rKVmnzSKFImeu/ePbpw4QLl498le/TkyRM6duwYFYllTBTeKRdZ2Dp18pRy37p69SolSpSIUiRPTjlz56KihQur94U9XCKr/Oq1a/TjTz+p4dq3bRNjBQO8I9u2ax/qskuVLOGwYHD6zFnavm0bXeP3NgQivItTpEhOhQsVosKFC4UaOyoKlq9cpeYAAcwsGCxji9z0//1ATZs2oaZNPouKU8uYgkCEEBDBIBy4wNDfuHGDZs6caSEYrNuwgdasXUOtWragLf/8o/ZLlihJceMGuYi8eBWk5V66bBmlYv/c9OnS0/Yd22je/Hk0oF9/qlatKh/voB49e1Ke3HkoQ4b0dOjQYUqWLJli9vfs2UuXL182BIPZv/yifsQzpM9AuXPnpu3bt9Nvc36jQQMHUpXKldVVoM+OnTvo1KlTNOvnn8nFxVmVb9j4NyVI4PragsGsvXeIEjhT+awetPnwPYIbS+YkVlpeuK0w81t5ri/d7ZmLXzLhAMvVCw/dV0JBq/LJaeb+u6q/udfvTXwI7k3aJcbLNQ61mOVLuy485mZhCwb5U7nS0f65KY3JZWfGIRY02PoB9x+/u8+JmLktlj0R9a2UQp1285mH9N/ph3TgylPlthRW//DGt3YV+pWZfUgjk9hyorXs9RddUOed/JkPNSuc2Lj0PhWD5gP3qojSh3k86aM8XjSEO3qNOKaucS+7ShVPH+Ii4kib+nkTqXFsnh/uWCy0jGIrT9NCiSktM/rW1Lp4UqNo+Aq2BsVzpu7lLIWIkjk9lUUH98MaL6Oz7EQrArlz5SR8fvp5Nvk/exYpc7l79y6NGz+BPD09wxQM/M6f59+8mXTz1i2qUb16pJw7ugc5z9fUs1cfOnrsqN2pQEiY8+sv5OPjY7fN+1Lx8OFDQyhInz49NWnShBIzPng2MmbMGC4Mfn5+NGjwUNr/7367bbNkyUL9+/ahQiwkRAetXL2aLl+5TH8sWSKCQXTcADlnKAREMAgFSeiCKlUq07Dhw5X2KleuXKrBBhYMcmTPQalZy6+pH/+44EfdmkqVLEnffvMNPX36jGrXrcvWhXVKMNi5c5dqOn3a94aGCNokazp95owSCspXqEDDh4DlY0U6O2l//U1n/tEbTMWLFVMvWZQnSuRJ53zP0eI/FtMnjRujyIKWr1hBvr5+9HWnjhbl9g42nHlE9CSQ4CZUL7enEgymsdVgnJVrUGUWGq7cD6Bjvo9o7D83QjGBtsZvyZrzfOxSAleXmRA+rAjxAEldQh7RUzeZmWdCrIEjZBYK4PJEDwKV5hpMqLouHqR8lhCGuXwWDyUYwD8e5wirP84fXr15jrMh+DA1YIYbBIGH+DzE7ktmoUBVRsIfxHzQ0yDhNLFrCIbmocNq8+DZS7oT3B99knCcg0Ec//Atu5vBwtL89/PKtcuoi8BOMxYq4Oo1j13GuvJ4ZvIazozTnaD7bS5X+0ni0b2+4u8eCpfXLDh2/AQFBvB3Ixy6ytrWWzdvk3eyEKEvnC6hqh8/eqKEgps3b7Lm9ia1adsuVBvrgqVLl1E8VrhUqlTJuuqdOv7jjyU0KPj3GxPPny8/K3lysftdCrp79x6d4t95aLXxDgETLESs5DptwLCAlWoe7u7GcXg7/x04QK3btGOLPbs+MgFvuPEkS5qUGfErauztO7bTGcb9ixYtaeyY0VStatXwho30+o/q1aML5y/Qxx9/HOljy4CCwOsgYJtjeJ2RYnGfcmXLKsFg0+bNBMEAPrf4Mfmmc2eLq77EGv4H9x+oMm/W/Lu6WgbSvnwRxKi5xA2CPV3atKrtDzNm0BfNmlHChAkNAcE8MMzpoObcRhOsAeXYXengwYN0+vRpNocWVlUFCxWm5+y6BE1bBRYkYJ4201Z+8ezf/y+1b9fOsCiY6633v2e/eBA0wEXTszsJM+szd4cWDJ4EvKQ5n6WnQsOPETTEnxcKcpexHs/6WPu/W5dbH19koWPkGtY88/lbsbtMRKnzMnZnef6CYJ0AnQtmOr1NAbopggOkz7AlwZqs+0e0/vxN1ray1cWdmWoQgpBB1sHWqvAN/kzZzn7DB+4RYhcg0GViS0G2ZJbWHUfadJ5/nsxP94Xh+ciT56/oxSvqy1aNCexitu/kQ/rr2AMjbiMiUy/hE/SSP8gWGmtaxLEqH8/0VffMoo4tD6gTihwERo0dz9bHHWqwk2xpvHMntICOyltc/t9/B+nrrt2oS+dOVOQtuV9EzlVG/yjHjh03hALvpN6KCbXlwnLv3n0WEu7YfA9E/1W8/Rkc55gCUJ48eSIkFDx9+pS6dOlmCAWTJkygihUrhLqAo0ePUcdOX9Ot27eoW/celC9vPrbwpwzVLioLatSoTvgICQIxBQERDBy4E2DYK5SvQBv//lsx1NiCKlSsaNG7dZs2xvGEceOoGGvyQWDG/fzO05GjQebjZp9/rso/+ugjOnb8OM2ZO5c1/Evoc/YxRB3cl8wEDT8obZogQUId8B+dJQT1WjAIeP6cunz7DTVs1IgmTpxEI0cM183VdihbGJ6xS4B2M7KotDp4GvCKNh0J8v8/esOfTkDD7RVPueNsYv/1CuwHb6ZM7F6EeICp669RS3aTGVYtlbn6tfdvcbadvAhm5UCA2RxMi6xJEaFxbMFAYG5Kzqg0qlaQhSeBM7vDML1QavOg0V7CqoCyl0HH+q+t/roO2/DqVVv2t0+VJsRP350ZXNDd51YnU6Wv/+dfCATBlJ0Z73/aZtGHxtaRNiVzJ6I8pgxRCVwsn0kcLmuagep9f5qasRBxfUAeY3xHd5DZCHSJhT5rqsLWm0WtMloKBxAKuAx1QpGDwK5du42BJkyeauzb2smfPx+5s8Z2+46dry0YuLknpK5dvjVciXp072brVKoMv42TJk2mDz+s985bCxCnBoI14M8lf9j1jUcwbVgBtfjthjIIVKBAAYof31LoVxU2/iAm7gQLfs5OcShTpowWlm4bzS2K4J9/5eoVVnS5Uv68eR0+p8UgpoO7HF9y4MAhVloloxwcC2f9vjM1VUo4HMePF5+uXr2mqlzYipwsmbe5Wah9KMbA7INgHbclFKAOFpvff59PlSpXwSGNHTeexo0drfb1n2sci+HsHHLO27dvq9iQJ4+fULbs2SiDlXXnOb+DT58+o1yBU7IbcdYsmRV2ejzrLdylHj16zBnBEhqWf7TR5UmSJFaY+/v700m2oNy8eYM82A3Ph8+b3ErxZz02PAuu8r27dOkyPfN/zskDOF4vc2ab73+Mf+fOXf6Ou5GHhwdnGuTYIg6Wxr2PQ05sxUqnLFmOBKlfYYvMURaGEyZ0pVQpU7Hbl4/NGJaAgAA6znGRt9h6CIEse/awnwc9p+t8Tx4/eUzJvL3Vs5wy5dsV5qxxjm3HEeOwYtvVR+B6KleuRJs2b1KM/N+bNvGLsQh5J7HUis/44QfydA9iWmAx0JQgfgL1BX62fx9nf2jPMQVBbhDx4sWlwYMGUpPPPqWZP89S7kL+/OVt0/or3VVt8TIG3bt3l39gQpjtJ0+CNK34EpsJMQ2tv2rNwdEzaOfOnRz34KK+5GiDF4mjL5M5/7H7SzCz3J1dRsyEgGRrwQD1A6uyYMAWBbiIbMoSNG9zv4juw50ly+RT7AYUQFOa+NCHeYJccRwdZzrPcyhbCxKmcKV9HbNQ3GAH/+zBWvTrD4KsOBjvGqdEBaU0xSXY668a8p/w6nU7bJPED2GucwYz3VchbNmh+MHCy2nEQ1gTXJFs0KwWGalcZg/KNOgwneRYjDtPAylVcNyLbu5IG2RNQqxCWFSOM0RV5kxFG9gVqCe7FZGV8BBWX9Q5BweiWAtiup+FcMCFIhRoZCJv+yLYiunIiAcPHlLNypYp40hzu20SJ05M3bp2UcHHdhtxhU8Gzt71Zat3Pvh4y9atho97pw4dwmT87eGxfv0G+uXX3+jgoSChQLcrzBbiL1u1pNKlS+kiiy2y+XTp1l1ZuM0VpUqWosY2XE3NbWDl6Nu/f6i+xYoWo4ED+itG0dw+vH0E2K5es4ZdWdkSGEyIfSvOSTR6duuqMg3p8ilTv6clS/40mHvECFQNjjOBcLXtny26qc3tqlWrVXmJEiUYn1Y22+jC5Pyu/uzTTzn+bz6tW7+OXX4HG4w84mGqVKvOiUHS0LKlS2j8hImqne7bqmVL9hz4Wh3CDRgJSb6fNk1Xqy2uEc97/LisVLNBkyZPod8XLqTaderQyGFDjRa6fNTIETynpzSRheT794MUdboRYm969+pJ+E6ZCYz5zJ9n01/LlxtWE10P/Pr06qUSp+gybDdv2aKsJg3q16e6dWrT0OEjQt373Lly873vRzlz5jR3VfsQLEaM/I4VqBtDzTNFipS0fNmfBq7osHzlSvruu9EWbYFVpYoVFF9kzacgdfLIUaNs/m4gTqRXj+5UvHjxUPOSgogjEMKpRLzve9WjJP/A4KFdyJl/4EYEQcGa0qZJQ+lYqsbH7EZUtGgR6tunN1XmjEMzZ81i6ThIk6H7I8PQd6NGUtas2Wjvvr262NhmYY0DSJv8dQUCjUGZg+t1ObafffoJpWVXpTFsuXhdmspMNWj8Jxnoz/ZZ1WcJbxE9u4EDef3ZomBNYLwXNcmgiocuZ2bxDegea9kzTWBLAbv2TGWh4HP2SY8IzWABpfcfFykZByKf7JzVcOPBGNqFZ/FRDkgOpoVHgtzAigWn9wyrP7qEV6/HVVvWdh9l4UYTeGin5Bwrwe5NA9Ze1cUWW2UZgSDD/RD3oOngVRYIGZvEHJ9hixAPMKIeW5dYqGsy31Kg0+0daaPbhrX9oT6fh927Zm+5EdrtJ6yOXHclGA9kKbJHEA5WtcmsPmIpsIdS5JTDf9uTY5QsPp4enB7SUiu9jRMfLGamDdq71yVkhQkrIxHGhaU2NmQkOvDfAQUTGLIGDRpEGLJt27Yzc99NCQVwQ6rMsRYaFzDM7VjY+Jez1VnTSc56VPfDjwzmDsIAmM9s/J6Bbz0SX9gjWBhat22r+uKctWrWpPLlyql34J69e9h3vy1B8+8oTZ4ylaZNn66EAjBxYGgxD/j/b9m8mb5qzeMxE64JAmuBAvkVQ44yYIfr1h/dztYWAd4I5gWVLV3apqbaut8njRsZRTtYmWZNt9mVbuiw4YZQAAYZ7k3Z+d2tqV//AYZQgBiRehxPWIrPD0KM4t+bgjwNdHtHt9Om/48GDxlKUBpC0ClXvrzRFYLWEGbgrQkuaQsXLVT4Irai/kf1VV+0g3DRs3dvgiXIFm3Z8g+1addB3Xv0xb0C/iAEzXfq/K3yOjD3hea/c5eutOTPJWp88Eq4dgiuoJQpUlgIBcC4T5++qi2eA2AFCxieB6R17dGzN5njLSFMfsvjI5OZfhYas1cEzoFzgScLz3pinq/sh42AWAzCxseoRe7kihUq0KrVq1RZ+fIVjDq9s23HDvJ0C9Le+/hkUAKCrsP2a/4B37Z1G40eN5ZGs+Q7gxcVSuadjDL4+Cjz4MWLFzldaWVzF7UPDR2yEU2YNFGZz/DDevjwYaVlQCakLGwatCZkR+rZoyd1+rqTRdWyv/5Swcday2FRaTqAT/95zmaD9JoIEjZTBdbab2LBYP7Bu9TEBrMOBq4sa5v/OeL4i8M8vt7POOm0EgqINfhrTjxQH9S5sCYd6yWAMe/BayB8XyMVNSloKTQsZYtFj4UX1FB52DrQ7o9LelhqxFpurGWAjERIldrwNz92H3pF1648UTn2kXEovP4vmSkKb3zjhLyTLGk8usnrOmDRN73I2tYvfKj0uBM0ed01WsJ++tU4gPux/0v6i9209jAzjGw/X5RORr+wK1Sx0ccJuCdiP/+lHEMA6h1GytZ2Jbxp2LZbBLehhZz2tVF+L9XH/CesNmO33KTlR4MEJfT5ukwym0HfyBgFIaQPC2ARpX2XGG8mbT2x17+kj5u9Kil/QwTAfL9gk83z5/40ZtSIUOsYDBwyjE5xDFOuXNnp0OGj/N1z4Qxq6Wju/IX8Un9ArVp88YYziP3d/ZiZASE+zREXTjMiCL4F4w/66MMPqX+/vkbmO2iRv2VrAAKW27RtT0sWL7TQuoMZB4GRmjXzJ1Y8sVInmObOW0CjvhulDy220Py279BJMW1gvMZzUC6eExCEgfr1GyrGu18/ZoSnTrboa+vgDxYidVrUfn37UuNGIUG2cNP59LOmarzWHIg+n91qgZF+P+Ea0DcPuzBNGO+Ykusiu81ogtuMI5SOswZqgtuNNYFhxbsTwhU0+NbuXohVQGIPEKwPvXr2MAQSZDVsw54CYF5fh8AMQwiZPHGi4UKFVL6wwCBb4Yb165XLFRSBmnJxJrFBAwZQmTKlLRhmCF/1G3ysLDFLly6l7mypsSa4YOGZmfnjD4bwDiZ9HZ+nO/MU169fU5YfPI+a+vbrr55DHI9nZSS0/tpFDO5vSE+sCYJb52+6qMPWX31FHTu0N7BC/GNztsJAiPqVLWTNmwf9vsybv0AJDbDc/MWWB/BjmuC6BTftjBkz6iLZviECrLcUchSBKpUrqaalS5XmQKjQzMqIESOoV9/e6rN+48ZQwyblbAj4IiDVKMx2Dx48oLH8YwfmfcjQoUpD8tWXX4bqhy/Y1CmTqWyZskqYgKZn0eI/2NxXh4ZwzIA9KlSwAFVnMyhI+wXuYP9g/IDB99Ca9Eq18GD5aXeQtaAV57O3pjYfBPl3Tt9527rKOP6xYTplWTAKwtuBZtyKXt16FlTCmuUV++8YH6yXAFrNwgKsCWDkrenfYKYT5RBizP23+z1SzX/5JB3lysgLprErDNoQCxCH2gW9PMPrH1699XyaQ3Bh4WPliftGFVYtXvRVZkIswCUOwJ256Tot2HGTnrBLk0swHmM4JqJ5cJpPzFFdOywCDdKpgHBjMKsdeOksD7bctF5wgR7biGUIqw3Wi1jCOOsP1oGwR+1Letu1Xtjrg/I5SOHK9GnB0EKLqpA/UY7A73N/pcUL5rDPskeoc235ZzsdYPeh/mztzMCME9JElitXhsaPHsW/Yy3prxUrydfPL1Q/KbBEwI+1nSBrX3TLVraP9HsEWvsB7Naj02GjNXz+Rw4fppg4MK5/b9psDAIN6z9b/1HH33KSDLNQgMImn31iaHONTsE7R5nJOnWa3TeZhg4aZAgFOE7Mlp4+/DyAML5Zq6sKbfxZwS4joJo1aloIBSiDbziyAYGweNnp4POqgtf8Az95Tbas6brOvIUwAoxBiCGwRXCHmTRxfCihAG3BoIPQpie7tOj3Lcqgye7duxd2X5sGc1pyc1wFBLVOHYMERgzqx1mNrKlBg/oWQgHq4XJUh92EQBA47FFbjpc0W/TAg1SvVo3gRgZCzKQmCD6wXIA6shALPkkLBShLkCCBus/YB61es1Yx+Tly5LAQClCHgHwIVqBde/eqLf5o6yQEPbNQgDocFypYELtCkYSASySN814Mg2Di7ewvak2ffvIJ4WOLrNtDW6I1JjDNfs0ZER48ekhenokstEljRn9nMVwSjmdAIDG+IPdZoPAKNu2ZG1n3QR00TPhoGsrp8vz9bQcfb+I8/qD8nKqzOQsEg6um0t0sttWzexgr7qJCr75rbgQ3GPMqxuY6W/v3BuUJVRxe/03nWePMC5+BwbamIRz4jE9YhLSlOzpmVUwzLAAe8Z2N5o70D298YzDeac5WlzFrrtKoTTctfPerZPMgfFhmIFhpEiXghfB09h/uB+vCRF4sDJ/rDwPJLZ6ThUuUPse0j9ISPmYqnMbV4t68bhvzmHd75jAfGvtYFM4e2bqPWPAN7mgICEfQulD0IgBTf9uOQb7S1jPp2aefYnRScBv+AaLV69ZTpfLlOGnCPHZvOUwZfXysu8ixCQGkZQVprbupKtzdExyADWrQsIHF+0F3BKNerWo15TaCmABNCBrVVKtWTb1rsa1evaoR+2Cu0OPAbcXMjOo2+fKG/FaDQUQwsz3C++rIkaOqukHD+jabgRmE6w0Y1aOcgS9nzpw22zla+Px5iBLD1nvS3jjap10zodbtWjRvbjc+78zZILcc+OabmWI9BhatgxbeOkZA14e1hSY8W7YQa49uC4YYdRACEYzrKEF4Ad2zilcw97f3zGTM6MMrUO9hq8F1o7lOu44CuPeER8c5PTKoGrtWmwUo3S8Pnq/5nLmPvSI0IXYAcRgQRnv07KUEEARDC0UNAiIYRA2uDo+KAGTrIOawOuOLFJEfO+uxcD58zNRk3nlaiWw2CL5lRhSMakwnuORgruM5C9Kbklu8qDecYc2D7tVT0RheFGzF8QdUO6enxbRhIMjgZXlfLBrwQUSzMVn3j0nHXyN9LEtDf3BmI6HoR2AsuxHB5G+mEaNGk2tCN8qc0YfmLvhdWTh37tpFWDARv1mJvRKr1dnNfWQ/NAJQ6oAhPHcuhFkP3cp2CXLxgzKya6o9wuKYIJ2tCPsIPgXB9QIaW1uUyrQGj7n+xMmT6hCJKypUrGyuCrUPy0JYggGYfVgzQD7M/NujjJkyBQkG7JLT8DXiMMzjmtcWgtuKtbXE3Fbvw4Ku4xKSc7YkW5Qje0g8gXW9dj/y8bEtJOG9jayCryMYpE6V2vp0xrEhzBC/D63oBguky3iBVWRIgmUPsY2PHj827odVc4tDCJy2CFYqEMt7BmnBF4KPtYuV0ci0A+EPNGnKFJo7jyUAK8IcQcAK1ht4WlQoX94IEId1Ah8Irk14pWhH40isTiOHYSAggkEY4LwvVT6J47E2y4VKcJaZfpVTWCzcFVMxgCb9Xp9cMXV6NufVm3P/l8nkZnOlYJsdYnFh5zLeBDxym1KixuLLjfGXBsZFv/T1ZH18WDu4bz/17tGVHj56RMuWr1Aavo7t2nJmtVycxvAafVi3jm4uWzsIII4MWl2kZYwIwddfM5L2mHuMl4yz6oA0Y4t97Q6TOIll7BXqNEGws0VmNxHNpFm3Q8AnyDlOiJXVug2OsbaPJuvseboc2xTJkqtDLDz2pqTXB8I4Z1kYc0QwMLvVpOdsWLbI206KVNwnLfwgtag98gqjzl4flIc1pr1+c+bMpe/GjDGqwbQjW2FWtjxc5ntivl6jUfCOdqmyLrd3jN8GUIrkbFEMhxAPgBgFTeE9X9p6A1cvZF8qW7aMys4FoVV/YG0ayW7cZkuWHl+2r4dAlAsGeOGUK1uacnL0/kaOdkcwVS72LatWrbJyi/lp5i8sxQY9WK93CdLrTREYzsG7+AhFLQKwCpTlmAYhomLp3ASGGI5ABXYXWs5pHxcsWkxftmyuhAIwXVUqV6QxEyaxNSEB+xwXjuFXEf3Ty5Mnd7D7xTWVmz4sBtk8W2iDtfvJtWs3zFUW+1evXlXH2kUEB96c3x101+RvrwpMfx6xC6stQuIMpEVFJpvBgwbYauJwWWpmRjVhYVB7TDqYVRBSh74ppTJp2KEth298eHQ22BUI7dKbgnjD64d63CcIShAO7t/nWDU79OiBbbztNDeKXzEPFRGClUkLBcj2g7hGs9sN0t6OfYNshdZzwfMCunDxonVVqGO4P+E5hXAwnLM81a1TK1SbsApKlSzJAeAl2frmq6wNyLwEIadJ06Y0d84cEQ7CAi8CdVHqQ4GH4LNPGlO1ShXV4hXNm37GN7UEuXu4UXI2D6XgHy+9CnAE5ixNBQFBQBAQBKIYgUwZfegLXnRx/oKF1H/wUGY2k9KDhw84E04P2rVrD2dZa2+xIFMUT+edHR5uEJq+Gx2ixdVlYW2zZM6iqi9cOG+3mR+7iYDM7kbQDoNgRYBG2xZdvRIkUFjX5eUMOKCTwS5F1vUROTZnyjFbIqzH0D760P6+KUG7jNTgIPilI/NRWAR8/vfDDNUEGf8y2LEYhDVG2rRpVLWvKSjXur0WfqzLI/t45qzZakhkMho6ZLCFUIAKCGiRSUjdCoJgZE45a+8c+fPlU1VnznDWwdckuK/179eH10ZYqgQNDLN27drXHE26WSMQZYIB/ODbftWK8uTMTn//s5W+/9+PdM7Xj2pzwFOFsmWt5yHHgoAgIAgIAjEMgY/q1aFhgwdyFrNAZrIWcyaiVZQkaRKaOH4MFef1WYTCRyBfvrwq3SRaIuUlNLaOEnL5g5b8udQi4FP3B5OHLC+g/JwHXhNW29W0grNH2aIVnC/eFuXl1KAg5Kw3B5baahteGbIoIRc+CNdtK4sRFm/T7iUFOJNeZBCEVhBcsb7t2o2QZ98eYVEunYWpyzff2AwettdXlyMXP2jp0mU2r3HPvn3GYm26T1RtHwe79iA2AR4bZoIQtJVTpkcmZeL4EE2zZv+id+1u8wYHr8/nuCWst/AmBHfH8uWC+Ekd5/Em40nfIASiRDCAublD268oOWuYFi1ZSnF5CfP2fLxn735OQbWPg2ctAy/lZggCgoAgIAjETATguzty6GCa99ts+vXnH2kAp6tMH6whjZkzjlmzQpYa5JTXBDcOrOx769YtXaS2YNp2c4rG3bt3G+WtWrYw0pH24gWhzNpvBBh3695TaWrhctSi2edGPzBMWAwMNGHSJA5MPmTUgTmHhnwfM6u2CAtuYrEpUHdOjY2Vm82E/sg3v/iPP8zFdve7dv1W1cE9aey48cqdCgXwH8e8+nAOfBDWCChWJHKETWTrgSsU6MiRI9SFhQO4MZsJaTZhwcGiXCCk4kTe/9ehFsHreUDAGThosEU6cMSXDGO3mbdF+YIFO6zibM4eBCa8T9/+FrEokTEnWGj0mgazZs9WzwXW2NAEK8L6DRv1IVWpWsV4ptvy+g7Ax0xIggBhESsda/rjjyW0afM/FriiDmMv+2u5alaoUEHdXLZviECkxxgUYDNRw4/q8hLez+jXeb9TKV7uPFvWIO3Fp40a0PpNm+mvVWuoTo1qSpqFkGBe/OINr0e6CwKCgCAgCAgCMQqB7JzRZiYvMtaBFw6DywUWt8QHDD2yFt3hlXV1oDFWJ0Z6RhDiEQayUNGla1fFyFfhdWnA9GJlYHMAKdq4uVvGL3Xq2FExVxi3abNmqh/OB0YMZcgjj7UDrAmM3v++n0qtvmqjrAYdO3ZS88R5H7E2GppZXANcSBzJIFSQhQyk+gTT+Bv7geODvv9n7xrA5Mi28Ilt27Zt23gb2xstYtu2bdvmJhtbG9vmO/+duZ3qmtZMepLJ5Jzv6y5c1L1/VXUf35u3blrmjIDXDn//aR7KNx1379ZFub8BZ6wbhA/mj2Dtp0+eWmnwMQ8sSuZTSp4smUrVCdelFZwJaMPGTYxvMoWXXtgMbkp636fXcaUdXNemTZ+uqhbmVLaw2AThTIRIG4v7hjTpwMKdhDU2wKSjX6zSjA+sKEitDmEJuOt1oGKxm9v0adPotxo11fOF1bmRPQtrWjx4+MDyXOOZyZ0rpxomVlvfwmtDIZYjEVsoYsSIrrA9YBCidf/unNev2pfbLAYwWRXloLRqlSvQPU6LtYAlvNIlsey5h1CgAS5SID/F5/RqcxcsprccoV63dk2rZcV1PdkKAoKAICAICAL+BQFow1fzqq3163lYATAvMOiaUccxfOwzmdxpwPCsWrGcMntq01FfCwXQcqPMFlMEP2xcD2kdQWh3jANTcU0sIjWDBRUwbLYIQsakieN5IbTfPBg8boO2YGzBXILJLV++rK2mNs+1a9uGRo0cZVmdFm5KGAcYPWibV61aQbBymClgoEDqVBDPrbnc0TEsNVgEDAJZPmaWEfSKa2IOenVfWCmGcvae7t262lyjIECAryxSQOZxHFGXzp0IKzsDU2Ck8YJANXHCeMv6RXpOuq9AnnMLZOrf3nndDludFSoAfR0b3M8mT5xo8b2HpQbWoWDBgqp56vWOdFvdX0DPuQZiDw97pF2TTENVa2xgobo6LIBqtyq4Z2kXsdy5cll1CVe3ObNmEoKjIRQgFubI0SNWzzXiUTVBmAGOwBXPDoQECAV4flC2bs1qMqap1e1k6zMEAiRJnfGLz5patypWtDDlz52LTp09zy/EcapUsRyF4Gh9e3T77j21UE650qUoEqfxmjJjloo0t1f/W84vmz+L8+uGV+n48LLph/tb+pS2goAgIAgIAn4HgdOnT1FOzljysxCY1Lv8P/iOFWTh2HIekVeldZaxCPn2kZM+cKCAKkjW1mJatuYPH/sbN27yfx9RHF7FGlYB79Dr168Ji6aFDRNa5ZV3Nk5HfcPN5CrHG0biWBW1aJ6jym4uQ2rN6/9dZ+10NDUPN3dv6Q5uYg/4Ay24vTUBLJV9cQda/Bts4YnGazPAUuLq8/KtQ0KcA7IUYVE/3GNH6XZxrQesTL7DQeIRI4RXGbXs1cd84E6H5zk6Wx7ckcXqW+fqH9u7TTBAerSUbDq7wyvi1ePsQ64w38hhO2HydMqcKT1t3Q7/MfsBQt8CvggG34KetBUEBAFBwO8j8LMJBn4fURmhICAI/IoI2LcZeRMNSMi79jykLJkzuSQUoPvQoULRp8+faOPmr4Ep3rysv6qOxT/evnurgrL81cRkMoKAICAIuIgAlEpwEQjKGW2EBAFBQBAQBL4vAm4TDBwNe9S4ifSGI82TJ0tC5UqVdFT1ly4ToeCXvv0yeUFAEGAEkK0GvsQiGMjjIAgIAoLA90fguwgGyDoEweDly9fff4Y/0RX18t8/0ZBlqIKAICAIuB0B+S10O6TSoSAgCAgCLiHwNeTepepSSRAQBAQBQUAQEAQEAUFAEBAE/CMCbhcMkLfWVW3PG17Qxd5y7f4RbJmTICAICAKCgCAgCAgCgoAg4FcRcFtWIr86QYzrZ8lK9Oz5ty0P7pfvgYxNEBAEBAHvIBAurO0c+/b6kKxE9pCR84KAICAIuI6A2y0Grl9aagoCgoAgIAgIAoKAICAICAKCgF9BQAQDv3InZByCgCAgCAgCgoAgIAgIAoLAD0RABIMfCL5cWhAQBAQBQUAQEAQEAUFAEPArCIhg4FfuhIxDEBAEBAFBQBAQBAQBQUAQ+IEIiGDwA8GXSwsCgoAgIAgIAoKAICAICAJ+BQERDPzKnZBxCAKCgCAgCAgC3wEBpAn//Pnzd7iSXEIQEAR+NgS+y8rHPxsoMl5BQBAQBAQBQcBdCPz333906vRpevDgIUWKHInSpklD8eLGdVf33uoHAkHmrNnozz/+oNq1anqr7c9Q+dadO3Tu7FkvQ02TOjVFjRpVnT9z5izduXvHS528efJQkCBBvJyXE4LAr4SACAY/4d1+/PgxXb9+k0KECEaxY8emUKFCeZnFzZu36Mmzp5Q0cRIKFiyol/Lbt29bNEahQ4eh8OFt5ww31tOdBA8enCJHjqwPbW7fvn1LFy9eoshRIlOM6NG91Hn58hU9ffrEy/koUaJajdfW9XWjkDzviBEiEOpE4G2IECF0kdpisb0P799bxvro0SN68+aNVR2iAIxhLNM568MPHz/Sf9f+I4w5cuSICnPrGkTO5msei26PxQBv3bpNUaJEUfPGte7dvUuRIkXyMp8XL16oBQGBvSNcAvEf26cPHyhGjBgUKFAgfSm1ffDgAQUOHFjhZVVgOHj69Bld4/kmSpSAwoQJYyjx2PUJjujz5csXNrHTFwAWmNf9+/f5umEpXvz4FCSw9fjdcS/0sxc+fHgKHTq0vrxli2cEcwwTNiyF44+RvmUe+t7GjBmTAgb8aqxFn69evaRYsRw/h8ZxyP7Pg8Co0WNo8pQpasDhwoWjZ8881quZPHEiZc+e7btPJECAAOqari5E+t0H6OCCM2fNphq//ca/Yda/C8YmmzdtpqHDhhlPqf2hgwdT0aJF1P74CRNox86dXurs2rmDIvDvgpAg8CsjIILBT3T3z507T0OGDlXMk3HYPbp3o6xZs6pTc+bMpTVr1tBzZiLBwINhTZc2HXXo+LcVk9OwUWNjF4pRTM1arCaNGylmWxea6+F8yhQpaciQQbqK1fbWrVs0eMhQunDhguU8mHb8mJcsWcJybuPGjTR12jTLsd7p378fjzetPiRb19eF+QsUoL/+aK/qQPtVoEB+XaS2SxYvodOsGRo2dLA6HjlqNP3zzz9WdXCwZvUqK0ZNVwAjN236DFq5YoU+pbZJkyalEcM9/nhcne/8BQvp0oWLXnADE9q4SRPqP6A/pWP8r1y5Qm3btqOsWbJSjx7drK67es1aOnrkqOrDES65cuWivXv3UsOGDahihQqWPsBw161Xn9q0bm35g7QU8s6+fft5vtPV86WfnXjx4lOrli0oZcoUlqrexRENRzH2Bw4eoIUL5tsUNjZv2ULjx09Qz6u+NrZTp0xWz6Y774V+9vLkzkMd+b0w08zZc2jVypVUgbFrxBga6VvmcZ+FMtzbWTNnsoAZSXV7lQWw9u3bU8lSpahh/XrGS8m+P0Dgxo0bSiioWqUqdezwt2Jo8c7v2buPMmXK6A9m+P2mcOXKVfX/V7VKZcbRWglkHMWTJ08oLltjVi5fbjzNSpKvwvhDFvz1PTFWciRwGOvJviDgnxEQweAnubuXLl2mdsxAgGHs06c3RY8WjT58/ETH/v2X0qRJrWaxcuUqmjd/PjVr1ozy5s2jBIGbN2/SoEGDqXv3HjRwwAArbbxmpqFFhnZ/5sxZ9Acz2IMGDrRo2dFx27ZtKF++fBakAhm0nZaTvAONdtdu3dj6EJGGM+OcJHFi+vDhI63fsIHGjB3L58NTzpw5LE1gHZg8eaLlGDtBWJttpJUrV5DWbLVu3ZYFoCxUo8Zvqoq9cRjbm/cLFS6sGF19Htozo/ZWn8d2wICB9C/jC5xy5sypsLt77x49fvRYVfPufI19O9s/dPgQbd+xgwrkz2+zqjNcICDiU6J4cYvlYTYfx4kdhwoXLuSlz/Pnz1Ofvn1V/Z49uivtNeY3afIU6tK1K40ZPYqg6dbkHRwf8x81hAIw+lu3bqPy5cvpbtQWz+3ESZOoWtWqVLFiBSU4QKt/5sxpi2XDN+7F7j27qeWL5laCCgSQTSy02qJvnQcEAyPdv/+AmcUOlCt3bmpQr66xSPb9CQLHTpxQM6lSpZJFyw3LZhHDO7h9xy62SF6lunXrWM16ytRplIyVEHny5FbnYXmowO/OqVOn+X06RIFYa54lc2Z+Z4tZ2h1ixcd1dlvKzcoBKCPu8e8VLFFVKlei6DYst5aGvHP23DnatWs3WzBvKeUMfidg4QDdZSvmwkWLqT4/pwsWspLj0hWKGy8ulWZlD5jw1WvW0bHjxyhixIhUqkRxSpAggWqnv9AeGnqMPXGiRFSgYAErVyrMrXKlinTy1ClWUBzgdzI0FeQ66dOlU7/PEAqGjxihuhs7bryyhObMlZOyZcmiL2HZwgIXJXIUC96WAsPOk8dPKELECA7rGKrLriDwSyHwVYT+pab9800Wpmhob7t376qEAswAbhZZsmS2WAbAXFWvXp3KlC5lsQ7A1agHM3rQ4G/dutXmxOHGAoZ94MABqhzmWiMFDhSYgrJ7iv6Y3VN03SVLl9HrV6+pS5dO6g8NDDfcmMqXK0tly5RhrfEoXVVtAwUKYOlT963N3LoiBAVdhv5wbX1sbxy6ra2tsT36MQsius3Jk6do//791K5dO2WJ0O5YEMi09ty789V9u7Itxgz9xAkTCS5ItsgZLlWqVFbNli7z0Jpdu35d3f8GDerZFISgrU/NPrgtWjS3uLTAjagdC4XRokVnodH6mXAVRwxiy+YtzJREI4xp/foNVtOBADBz1iwqVbo01alT28Kkhw4dymIF8417kTx5CgrL89u+w9qdAPcczwWwMNO3zsPYH+5rh44dKEXKlNTm91Zkfu6NdWX/50UgXpw4avArVqy0OwkIqAsWLvJSPnfuPNq7b586D+UI/gNatPqd+vbvz255L+nK5Sv0199/s7VxoKXtoUOHacTIUVS5ajU6wtZFbsYM/SIqU64CIc7BHu3cvZuqVqtOi5csVe6Ww0eOpCZNm1tcL6+zgmnK1KlUpWp1Wsfv8Jcvn2k+K6Hq1mvAz3Fn6tylM91ml8gFCxZQ2fIVaPOWr/81d+7cVeMZOmwE9/eWFi9dSpWrVKOrV69aza1p8xbUu09fZTXEvOvUrUedOndRdY6fOK7iM3AAyycEHljDbdHjx4+UK6atMn3uEbvjRo4UUR/KVhAQBAwIiGBgAMOv7r5nf/GTJ08qBtseA3H16jU1/IIF8nuZBrQ4mVmzdOHSJS9lxhOIM8idKzedPn3KeNrl/Uvcf4YMGa1ckXTjQoUKKvemhw8f6VN+env06FGlrc7NWil75Jvzrc/aw0AsFE0Yb21RsTcW8/mQIUNyYGEtWrZsmRIuZs6YqZhd7XJmrI9gxAsXL1K+/Pm8CA143qA5vHjpgrGJy/tgaDZs3EBFixSlQgUL0o2bN+i8wc3s4sUL6g++QoXydvv0rXtRvEQJ2rhxk9V1cVy0aFEvjLo75qEv9PbtG+rapStb5aJQB2bsfCLg6r5k67cRSMtukaVKlqS58+ZRpcpVadXqtfSRLb0+JcSXLVu6hIayK+eM6VPZVbCishJrJhv9IoahapUqNGf2TLYS96OFCxfwO/aGxrOiwRbBtemPP/5S7+imDeto8KCBNH3qFHbDPM1trQWW+AkT0HK+/iBWIo0dPZoePnpI27Zvp+1bt/Bv1VjaunkTK6pC0ObNmy2X6tSlizq3a8c2Ne4lixZSJP5PGjJ0uKUOdiBArFm1So0Z1yhZoiStXbeOrc4f2FJSnl37PH4jYNEcwC6n+ThQ2BbBTWgTjyNLthzqU7NWHZo9Z46l6nuOOwMeffv1pzTp0lPuvPmocdNmtI+VAkKCgCBAZO23IYj4SQRuc5YFUNy4HtonW4PUfwwIOLVFMfn8OTYVO6OECRPSEtboQJMLrS1o9JgxSluk21asWJEqscuHmS6zYFCGLQO2SJuxMU7tXw2TL66lKQAFoEpsTvYJmceIPuBrCs2wkeAmcvjQIcuplClSUOfOnSzHeucWB8HGixdPH9rcene+NjuxczI4uxu0atmSevXuzRaLfBbtuZ3qNk+XYsvRctZU9u3bj034p5R7l62KcB0AxWU3I1sUjbX9d+96aOjgDgS6xrEQxnsXla1OefPm9dIcrgNoC+ECQdPQxG9i5hsuEqCbrGUExWBLjD3yjXvx+fMnKszC6iLWpl5mzWuiRAlZI/lAuY41a9qEzrFrlZHcMQ/dX+/efZWA1KVzZyvXPl0uW/+FAJjYXLlzMSM/U2nWhw8fruINdCCsd2ZbqGAhwrumqUiRwrRs+TI6zi5LRvedalWr6CoUi3/78d79wxYEWwQXIjDKefLkUi5DqIOEFrAUnj5zxqpJxXJf3QC1C2s2DqDWySiCBQtGmTJnYq2+h9schCDEdVVhQQW/x/iA0qZN44URz5Qxo1USjLx5c7N1Yh3df/hQzcFqIA4OWrLVE7EdMdj18crly7Rr9x4aNHgIQSnVtk1rlXWoB7u8whUrXLgIdOzYv8ptswkLB2PGjLYrcDi4pBQJAv4KAREMfoLbGdKTGYMZ1h59CeBR8om1v7Y0kK9YK+QKfSG2PTMFCx7MUr0Mu3mkT5/OchzdjvCBCh8/2daG2Ro7TMEnTpy09IsdnwoGCN5Mz382Rlq/YSP/ET01nqJMGTOxH/tX7TSy39iiYIw5TNbOyDvzddaXuRwZS/Iws41g3ymTJ5mLnR7D3aguu+cMHjKEEGirmXFzQ22F+sj+9bbo7Wuvz84D/rM23jsIlLYEg/UsiCH4XNeNED6C+hNu1KihcoEL4flsv3//wS6T7Fv3Am52EBw3ceBzs0SNaRNnM8ExzpvJHfPQfSJTFz5wrUuVOpXF7U+Xy9b/IVCGf5/wOcoxS3D9af/nnzQlwmSbPvKOZh87dkyr4gzp0qpjCN9GimYStDNmyECzZs+2xGsZ6547f0Eddu3W3Xha7d+8ZZ19zvjbr2OzUrM7nJHCsFDxil2dQFevXVPbxYsXEz5mwnoKQYMGVaczZEhvVRzaMyPaFzv/KVaVDQe5OB5ME6wK9erWpSrsJrWUracQDPB7Z/yfKZA/r6qTh+Po1nKCB3uWCN2nbAUB/46ACAY/wR1GDAA0tfiRzZgxg80Rx4zuYSlAmtKECeJ7qXOD/UtjxLD+U/FSiU9c5iCvpEmSWPnex48fn12EbF/X2EfMWLE5jep14ynL/vXrHv6tRosG/M579exhqfMtO4kSJFDuUsY+jh8/4UUwiMQMmStzQX979+xRf6SacTb2jX3vzDcY+60/5fSxZoIZHxQ0sO3c2c2bNaV69erTlGnTKaqTFLHmvnGcn92DlGDAwej2KJpnUCLunfnPGW2gfYM/vrYW4FwWzoIF33hH9OrVK9rBbga4z0aXBAiEe/bsVVYEreXE85GEnztb5O57YbxGMU5fiNic+sw8bOJYiN/+V91YrPbdNQ/dMZgTaFabNmtOQ4cOI7hG2HvGdBvZ+g8EFIM+YzplzZ6Ddu/abVcwgHsf3HTMBCurkV57KouimH4bwJiHMqTifcPvXORIkdVzBrc4I0WMEF4djh83jtJ5Chq6PDDHdBkpaFCvv1PmOsb6uu9GDRvy71hdY5Hax3ugxxMypP1MQ14aevNE4UKFVAKMF5xQwVYKZrjRZs+WTVkPvdm1VBcE/B0CEmPwE9xSMA3JkyenVatWq8w/toacPHkyxbzBp9xMCN6ED3m2bB4pTc3l+hg55Jexa0+69NaaG13ubJud+0fwpjnIDT/8cGlBVpuYMW27Ojnr+3uXJ0uWVPm+Owoa9M58MXfgiyBgI531dFlJkCC+8bRlH3n0W7ZoQevZ19bs3mKp5GDHwnB6WpRsVYVlAcLSunXr1ZyNdRAku4WD1pEC1bu0gwN7IUxM4JzhEyeOt3xgvdjA1hwQMpuA5s9faGEQ1AnDl7vvhaFrlb0Lgsp4zin/4MF9dWwsx7675vG13wCKOUHwMdwsHD1jX9vInn9BQFt0taYc7/it27cs6xtgnvi9tkVQdhjpwKGD6jCJp2ueLtPZkHAMd56DBw9SshTJdbHVFoutgVAnDAsTxk8Idmn8FsJ6LHBJ2s1KFmO/et87fWsBBMy9d+nChYsqe5ItoQB9ASO4VKUzWMa9ew2pLwj4FwREMPhJ7mSb1r/TOwQtdu1GO3fuYn/Jh4TUmXs4e8O7d+9VSspaHGy6bds2ZsQmcgDxGbrNKeIQTNmX01Ai936+fNY+4I84ewMY1X+OHCFkwGjZ6nfKkSMH1axZ0woVuNRc4dgA/bnD/dqismXL8EJdUalnr14qLSXawfd12PARyne7SePGXoJbbfXjm+deMKOr5+GxvWbzcik49qBipUoqE8gcxgbpPKGtQ+DsmTNnVRvvzDdXrpxKcBs1crRypYE/+74DB2gMuwlhPQajNt48IKTtQ/A4/rh9i2BuR2AwsoIc4hgMjA/PVndOcwurhk4R653rI3sJ0poiy4+RihUrSmfOniFYtyCUYB0OpDMdzNpzPIvAGc/lgQMe83X3vTCOBYxPQQ6KRuxJ4SJFLKldjXXcNQ9jn9hPkyqVeteQbQbpiEHAfwGnmRTyHwggKxhScSLrz1lejRfbZs1bqslBiw1Kze5kIKz/gt8W1Pnr7w7qnPkL2XngL4++4Po2cOAgpTRKwYohI3Xvwb/B/F+A/vB7DGtgJQ7gtUVQWhQsUJBm8Poavfv0Y5/746od0h3v33/AVhNvnatTu6aKb2vdph3/9u3iDHkXVVAx0p96h7TwM4PTaquFEPk3ykwv2FLS9o8/VVakiyxcwXWrD8dYIRgZ6VBBBw8fVoHHCDZGzBvWlGjEa8kgaLsUJyQQEgR+dQTElegneQKwlHvv3r1UOrnx48erDD8YOvy3040fp/yzS5UqSeHYLDx75mzOfrFazQwuIPnz52czbj0v7grT2D0FHzDzSZMkZialBpUrW9ZLjALSSeKjCYFsyEphJjC3Y0aPpHEsmIxls7ROJ4e81QM50wUYoW8lu4pvGwVf2NISkD9GgkUDHyPZW+AMueWDs6n7EDPk8ziriCZk+0HKUu/MFyvs9unTh4PbxtBg/mMH4d7l5hiCZk0a664NW+tx/96qJS+E1pQCBrIty1vXNnTjuRuQA7sdUeLEiWgsrzUxdsxY6tGzl6qK+eFeT5o4QeUnN7a3WCKMJw37ELquXuXF2thtxkxwV8Izh/S5SFGKTEl/sc/1Js5k0s3g54x4EL0yrDvvBcYTMOBXF4ki7E4Egbo4ZyPShPnh2XH3PNC/8ZH8X/VqdJLjbPpxgOooThGJZzNH9ux6GLL92RFgaynWD9ErH2M6iXl9lymTJlrSHhdkxUDNGjVozty5tJKz8oBwHI1/881UiRM/7OHFC3WWHbwjyDwUxCB8Y+0BrG3Qpm071RwuRO3btiUEKhvJ+A4PGTyQGej+tHHTRlq02CMTEfoZyAsvepeM/aJtLVY0ff78ha2CC+h3VnBpwm+adwiJIpDhCXPHpz7/p5l/X2BVeMLrzGDNH01YZ6Fzp45UvVo1dSpMqNAq8BnrMWhKlTIVzZw+jV11M+pTshUEflkEAiRJndHa4dAfQrFs/iy1uBa0gzDjmn+4/MqUnz239h+1Ny645iBtXbBgwS2Zg8x1YUV4//6dTX9Kc13fOobmF36uWG/hZycIOa9fv6YwYcPZnY+r80X6WWjh4ULgFwn+zU9ZexaBF6T73u8KFu179vSpeq7tWVHceS98C39X5mG+Nqx8f/71Fy1hxgzpZn91CsfvmncIaZaxEKFfI/xeP+IUmnjnERSsXYjM48R7d+/efRbCI6gYFGM5+kibPoNabLF2rZqqP/yfmZ+TMbz4FxaqPHxwP//+v1f/EzojnLE/R/tYjAwpR8OFC+v29x9ZibCIYMQIEX28uBhciRD3A2WZDoA2zwdBzY95ETPMwYyRros4DLhKRo0azcdj0X3JVhDwTwiIxeAnvJtg1uC76YiwIJdelMtRPd8sQ0CXfyEwqfYYVT1HV+erF2jT7fzaFn+2Edma8SMIQmTkyI6fbXfeC9+aoyvzMF/7Psc4VOXVn+0xMub6cvxzIIDfa53O09GI8d7FiBHdURVLHI6z3390AgHEu0IB2vmkDdq5QrCSfishTsBerIDuG0HNzrCE0soYoK3bylYQ+NUREMHgV38CZP6CgCDgJxAokD+/nxiHDEIQEAQEAUHg10XAtsPyr4uHzFwQEAQEAUFAEPBzCCCdZhwba2wYBxonVixevd7vuVMZxyj7goAg4LcREIuB374/MjpBQBAQBASBXxwBuCNN5oBlZ1SuXFnCR0gQEAQEAZ8iIBYDnyIn7QQBQUAQEAQEAUFAEBAEBAF/hIAIBv7oZspUBAFBQBB6eProAABAAElEQVQQBAQBQUAQEAQEAZ8i4O9ciVa895ry87NP0ZF2goAgIAgIAoKAICAICAKCwC+CgFgMfpEbLdMUBAQBQUAQEAQEAUFAEBAEHCEggoEjdKRMEBAEBAFBQBAQBAQBQUAQ+EUQEMHgF7nRMk1BQBAQBAQBQUAQEAQEAUHAEQIiGDhCR8oEAUFAEBAEBAFBQBAQBASBXwQBEQx+kRst0xQEBAFBQBAQBAQBQUAQEAQcISCCgSN0pEwQEAQEAUFAEBAEBAFBQBD4RRAQweAXudEyTUFAEBAEBAH/gcDHj5/ow4cP/mMyv/gsPn/+TO/evfuhKLx//57wTAkJAkBABAM//hx8+fKFbt68SW/evLE50ps3b9Hr16/p5ctXdP/+fUsdHKMdPrdu3bLbXjf49OkTXbp0mY6fPMltbunTavvo0SN6+vTr+hA4Nl7LWBlt3717r059+PhRXR8/fGa6ffcuPXz40HxajgUBQUAQ8JcI4Lf84sWLtGDhQlq/fgM9eODz378JkyZRztx5LTgd+ucfGjlqtOVYdn4eBJYtX06Zs2Zz+h/tmzMqWLgIjRr9Y56fPXv30bnz531zen6u77dv39LWbdsIvJSZIPDv3L2bZs2eo34nbt25Y67i9NjVPp49e0YrV66iDRs3Wj1//m6BM6eI/YQV/u7QkYoUKUJ169S2Gj0Y+d9bt6aBAwbQhQsXaO26tTRt6lRVZyPf6KnTplnVT5MmDf35xx8UOXIky/n79x/wH8oo+vfffy3nsBM9ejSazH8+gQIFUn84ESNFoja/t1J18Af0D/8RDR8+jJIlTWrVrnGTJtS/fz9KlzYtXblyhdq2bUezZs60uuYH1ky0a9OWIkWOQmPHjLJqLweCgCAgCPg3BCAIdOvRk96+fUPBg4dQW8wxaZKkNGnieIrEv6/fQrt37aYZ/DvbtEljChYs2Ld05WfaQnDaf+AglS1TylfG5Nv9+8qgPTs9cfIUvX33lrJmzuybl/kufXft2o0KFCxA3bp0/i7X+9EX+e+//6hNu/asiL1EI5iHKlSwoGVIe/bspQ6dOhEY9mjRotO9e3dV2QDmqUqVLGmp52jH1T7mLVjIvFp/q9+jMWNGU748ecRi4Ahgv1AWIEAA9eBs376DoHEy0s6dOylChAiUOnUq42nLPpj7tWtW07y5c6lb167037VrNGz4cEs5NPZ//vU3vXr5UgkXy5cto3Vr19CUqVP4D6aJEgoslW3sDBs6nMDke5cOHjxI71kqvnr1Cl2+fMW7zaW+ICAICAI/DQL/HjtGf3XoQOnTpaUF8+bRwf176fi/R2kq/84+fvyYWrT8nQWFt980n99btaStWzb7G6EAYGxjjeo8xsu3yLf7961xo9+ZM2fRnt17fPMS0rcvILB58xaqXLU6BQxgx1mH+b28zJjjXd6yaQPt2rmDUqVMRT169iZbnhc2h+hCHxCKhw8fQZUrVaI9u3bQgb17qGCBgtS7d1/1W+RrFoOAAQNSyJAhKXBg+5cAowvJSMgxAvkLFKAlS5fSmTNnKVWqlKoysNu2fbuyJEB4sEcoCx8+HGXPno1KlipFCxYsUAIGzo8bN4GCBAlMffr0ptChQ1u6iBk9OuHjiAoVLswP7xZayGbxmjV+c1TVS9n69eupQP78dPv2Hdq8eTMlStTESx05IQgIAoKAf0CgY8fOFCtmLBo6ZDCFDRvWMiVoe0eOHEE1atZUbgONGzVUZaNGj+E/7Ip08tQp2rfvAIUJE5oKskY1fbp0hP9VW3SUhY9/j/6rLAYoh2vRjes3KFfOHLRw0WK6y26mmTKkV0omKJOMdPbcOdrFFge4nMLSW7hwIQoXLpyxipf9ffv3s9X4iHIVjRo1KpUpXZqSJfOwHt+7d492MdN6/Phxih4jBuXMkZ0yZshg6eMuu5FiTJiv+l87d54Sxo9HhQsVogQJEqh6e/fto7nz5yvBafiIkepc1WpVKRb3BwZp3/4DtJ/H8JHdVTNnykSFChW0YOPK3B31bxko71xkq/yaNWuoYcMGFMbwH7lx0yZ69PgJ/Va9mqq+fMUKihE9BoUIEYLW8f/bq1evKClb06tVreJFWNu+YxftZUYMwmAGxuXTp8/GS6r9o0ePElxs7jCWUSNHVtripEmTqDgAXGsXu5okSpiQgA3+y9u0/l21c4YNKj15+pQWMf5XrlylqFGjUKWKFShI4CCqvaMvuPvs27dfabqTJ09O+fLmoXjx4lmauIK7pbKDHcQ77Nixk06wW/Pz588pY8YMlC9fPooQPryllSvvCHD+79pVqlu3jqUddqZMnaY8HfLkya3Ow00a9xMafFDOnLn4mc1muW94XhcsXEQQvhcvWaq8K2LEiMnP4ScqV7YsJUzo8cyiLfAfM3YcpUiRgorwe2QmPBsVK5SnejymIsWKm4spd66c6qMLMOcKXL9P374ES4N+P3S5ra0rfaxYuUJZLTEnWBjxadO6FZUtX4E2b93qexaDyhXLUee/2tPf7Vrb/XRo34Zqe5OptAWEfz+XMEF8fgHj88uywzLVE/yn8eTJE8pfIL/lnLOdu/wjEyVKVPVDgrpnzpymEsWLWwkFzvrQ5VH4x6pBgwZKo3Pt+nV92un2wYMH6sUqxH8C+DHfxIIBrAdCgoAgIAj4NwTA2Ny6fUsx+kahQM8zbZrUSiOI33MQFD6Tp7DFtnkL6t3HQ3sHJrZO3XrUqXMX3czL9vDhf9h1dLrl/KFDh5lpZI1g1Wp04sRJestxaD179aa8+QsohlBXhC9z1WrVFcODOLbhI0dSk6bNrfyNdV29hStpk6bNaDv/H4GpxRZuoyDEtFWqUpWVTuMV075923Y1dsRVaLrOdaawy2u1//2mrvuF49tmzpqtmJKlS5epagcPHuLYuTcqXg2CBj6fWQgAjRg5ipo1b05Hjhxl5dJtasfusX37DVBl+HJl7o76t3TEO5c4JmTa9On0mhl9I+1gQWrx4sWWUytXrqbezLw1bNyEGbjr9OLFSxo8ZAj9VqOWVVDv+AkT2f33dzrHwhAIx6PHjLH0g537/B9Zp159gqUpKDPsGzduYkyrsLvwRXrDrmhHjhxRTN3rN68VLrA6aXKGDfquWLGyYo4DBQpIFy9fpirV/kcPHzmOdwGTXYWfpbVr16l7Pn36DCpdthwz7x7PLa7vCu56nI62UHi2//NPAl/xgZ+NIUOHURm+ltaYu/qO7N6zWzH05mvNnTuP8E5pGj1mrLoHL168UIIY7k+Hjp10MeF5hVt2a3Z/xlie8jsdPHgwmjd/Ac2eM8dSDzuH+d7g/f3CAoItgnKgY4e/2RvDvsLc3O4pC3KgmDFjmotcPjb3cefuPUqcOLHyONGdQOiAQuDmjZvk+uh0axe2MVjbnJ41D65Q8qSJlaSvb7orbX7FOoUKFWAmfD7Bhz9I4EAE16IECRJS/Lhx7cLx+tVr2nfgAL18/oKZ8WO0c9dOatasmaqPH9Tn/CJAq6EJL+K5s2f1IeXIkYPCGTRclgLewf2qUL4c7d61i0YMG07Dhg21aGyM9cz7mzZtVvELKVOmUJI2XJv2sWYkf/585qpyLAgIAoLAT43AOY79AiVk7a49Spw4ER1gRthId+7cpc0bNyhrL87/3aETx5Cto969erKV17l2F21gja9frx61bdMah3SNXUnLlCtPa9auVdpPCAJ//PEXFS1SlAYPGqB+vxEcXbFyFbYEL/KiaUUfBw8fVkx9E/4fatnc478E5zV1ZOEFMRTLly5mS0cYdXrgoMHMuPenbFmzWmk8wYRMZwEhMP+f4f+kUOGitGLVKqrE1pJ2bdsQNLXX2eoB/2pN0EpPnzGD/v7rL4ulGlrcXr17K803/ldAzuZur399HZ9sr/P/58QJ41nbnEM1X804d+rUmYM7V6o5IWHHuPHjFd5DhwxSdcCMlihV2upyUaNEod3sJgxLPwga9Fx58qkAUWh4gceevXspP2vRMQ9NrmAzdeo0JQQsYw+EJPzcgaBBR5yhPYKrMZhluJoMHzZEPSfIYFSzVm1q3qIFu6LstDR1hrulooOdwoUKK9eWUJ4WmmPHjlOtOnWU4AHPB03ueEfQV5s2vytmHc8hCIw9LBJI6gKvF00XL16iDevWWOKBoORcuWo1P4t/8jMfXFVbu2atev4L2FHY2rP46WuYty8Y+wUcC4B77dPYIVt93L51m5XEUcyXU+fAG9q2S3qp7r0TWbJkJDi3fGLtx5oNG2nZqjVePvsOefwQ3rl33yIJeu8qv1ZtPBgwPf579Aj79X9k37OdyrzsCAUw/jOnz2SpeYESCtq1bcsmX49ArsCepkOjGfO/q9c4xmAd/5CtplGsFcIPsyPCQ966TRu6wH8mK/jHzxlB0t/EPnYww21jTRLMkrCEQCMiJAgIAoKAf0MAmm5QxIgR7U4tVKhQliBDXSlTxowWxhDn8ub1cHu4781MbrDMaoofP75yadIZ5eBChGDoPHlyqd96MAQYC4IeT585o5tZbU+wexCoaePGVudxgEwox1jLnSd3LotQgPNNPOseZVcnIxXIn18JBTiH/5J8+fISmD1HBHcpUNYsWZS1AGNOlTKlOgfXKyM5mruxnrv24S6mhQL0WbhgQdU1NP+g4ydOqm1htpRrgvCUxUYAsRYK4BVw584d5fpykl1rHJEr2BxiwS4uKxO1UID+4BLkiM6d9xBuixUtYlH+gYlu0KC+EsAgvBnpW3FH3xAKICzi/dECAlyLjOSudwQuYrgmUsYiAxDuI+i8p1Cvr9mkSSOLUIBzVSpXVu/Pps1bVRW0X8/8LlyFXBXedd+2tph/t27d6SVbqzp36miritNz9vp49vwZBWX3ITNBwHnCCgVfsRjEi+OhxYbv1p27983XVsdx48RW29OsoYaFIQYHyh5lyVDINgKR2XUHWYW2b99JH/mBgZCQn39IHRGCjydyxgs8HAhwg/kM/qMg+BbiIbhy9TKlT+9h3cEPMz4PHz6i2iyhu0IJ2Df0f9Wr05QpU5WFwVEbWC0ePLhPwfmBhEYK9OHje/7BvEZwc4oeLZqj5lImCAgCgsBPhQB84kHX2TyfPn06m2O/ypp8MONGysDxAEYK7al9h9uNdygl+zobKTz7LENhB9IMX1dmPsx081Zk8yl1fIZdYOByoLWrxkpXWbEEQiyEkcDkwopw0dOHW5eZ8YCr1SdPdyFdx7zVFhi41pgJQoKRHM3dWM8n+wE8MTS2jRvP2nqPeANkndLCDhh8UPr01vcW/+tb2K9bExRyg4cMU3EExixW2bN91ZbrusatK9ggnXjxYkWNzTjGL5HVsfkAAiQIvv5GiscCBggMdNy4cSxF34o74iuGs7sYhEyQjneBYtFI7npH4L42ja1QsPiA8KyCzNdLlCixOq+/EFODwGBYhJA5Cy51uF/l2ZPiWwnX7tGzl3ouZrAbU3QnMZ+2rueoj5isnL3PvJiZnnDcDGJX3C4YJE+ajANXPRi8SBHCU6O6tczXtjo+d+4iJU6UkMKFDyuCgRUyXg8KchAyTH5g9PHj4mqKO2hjmrdoxiavv5VrUc7s2VXn6fgHHNYBaG7MAWler27/TPX/VSekyBo1crQSNuzVhGUgU8ZMHPne01IF6yfUqFGTNrOLUa1aNS3nZUcQEAQEgZ8dAWhnQefOnbWZdhMuGWdYO586VWqrqYYM6cGcWJ305gEYHFsMvO4mIv8/g8aPG0fpOGOSkQJzmmpbFDF8BDps8Gk31gkb1sN16MNH65gxzBEMExhlIxndNIznHe3j+qBdO7ZTYJNLVVDDsbO5O7qGrTIzk/jQRv75R6xQMxNSikaJ4iFkhfJ0S3nAVp8YMb4KgnC/0YT/9jZt29NljtkYO3a0cskOGjQo1WvQUFexu3UFm9BsEXpgGruzjFhhw4ZT1zQvwvaUtc4g9KnpW3GHhaBJsxbs/56I4O6UiAN7EWCeKUtWfQnL1ifvCPA1xlMgxqZHr16s5a/Ibm1TWGEaVcWu1K1f33IdvQMXbjNVqVKZGfieytKA+AsIgik4MPtbCM9an779CUHm48eOpUyZMnq7O2d9xIoVk06fPm3VL9ogHqpoRLYMWZW44SBHtiyqF8h2A4eOoI7denr5DB8zXtV5zgE6d+7eoZQpktOtm9bSvhuG4u+6yM0mWhCCaiAkeIfSpErFJsN87AM5ybIAWauWLVQXnTp3pS1btqqsFPB5vMaR/N6hIJx5qi37Oh4/cVxZMmy1fcYBOxh3seLFrIqxTkLxEiWU/6T5x9eqohwIAoKAIPCTIQBLL7LtIEjRGKipp4FFpcAY/u+36vrUd9umZU01COmj4U5h/JiZeD0o/FdjvMjWY6ZobPEFY7h//0GrIqx5A0qaJInVeWcHUGjpoEldN02aVGoXwdrG8WLfuz7YtvrX19FbWFhAyAioCQwyhDkzXbh4wWohUFgwoIXW2ZrieFoUoBE3Etx7NCGQ+DQnBanOGZiQtQpCAVJLagx1PWQRQmC7kVzBBlmEjnA2KTDImrSrkz42b5NyHCjowAHr+3qAM0OBErFi1110lL0KIEQ2bdpEuTvhHiFDkU8I8ZFgdI2CF9yejbRr5251+Mcf7ZRQgAMs9uUqlSxRXD3zi9gDYge7dyPu8ltpwMBBtGjxIhrHQema5/Nun876gPACbIy/SQj6BiGOw60Wg8AcaR07tod/FtthqCz7s3/mrZkiR/bwtzzNWhRoDeKwW9Gc+QvN1eTYhAD8P3Pnzs3a+T2Ui9NaeZcaNKjHLkJ1OVXcIqrN2nn4vfbv14fmcFDz7DlzlZuP7hM/4sYsGkiJZiTrI6LkyZNR+XLlPGINzHW5MoKl4bqUzYY5tCibNhfxmOBqZDZXGq8p+4KAICAI/GwIIGD0MDPHCNRE3nAE4YLhhWvnSg62RVAnFhX63oQsJ7g2FkZDBiDEn4ERBeMK95IcOTwsy8Zx5WF/9MiRIrNWuy21btVKpau8zJlt0Bdcg1o0a0pDOaHEqNFxqWjRIiplar/+A5TfNhbp9A4hMQYCrtetW09p06ZR6Srz58uv+urRvSdV5VSgWBzq5csXKrUnUoNCOHGVbPWv/dl1HylSpFC706bPUBaPYJyNZvbsOYrZtBW8ifUqmjRqxO5an1WeeAhKEAxBmTluBG5YWIMgMeMLjfcKXnX2lCE2Al4AaIP4O2QMvHf/Ac1fMF+1N34lS5ZMuZngPzdcuLCqX1ewqV69qlq7CAHhFStUUO46s0yZdYzXwX5yvlbePHlpCCcZwfwR03HosEf2HVwfWnZ3EbxHQPAggLvLqVMnVXC0T/rX6zsNHjKUfvvf/9hS8pCGclYhI+mkACtYO5+VrRK7mbfCPXGVIECXK1tGZa5Cm9KlrQPJXe1H1xvGawvM4zS9SIOKrFNIo6opOrsbwrKHbFywaHTv1lX9nuhyvXWlj2LMcyETWE92V2revCkHuH/g1Mmj1LsFlzW3CgbpM6SlkCGCq/GBkUyRzLGGAG5ESdlkdIP9L5H3V8g5Ap06drBZCZkc8NFkPsZ5aK+wgJmR8IP+1x/t1Slo9UEwDUKTr6lXzx56V23Nx7qwceNGhI8mrIqsr1e+XFkWHMrqIqst1kzQ9awK5EAQEAQEgZ8cATCDy5Yu4VVGB9BcVsLoFekR5IisMnVdjOfyDRiGDB6o3BY2btqotJS4Bny6Bw7ob/NyyJgzbepk6tSlq0opqSsNHTxY7daujfScH2ni5CkquwtOgtHowf8hjtyadD/GbdkypVV6zL87egRewuUJOdpnTJ+qVpFGhh98QMC4uueaAsY+HO3b69/YBvERA3l12O7MQDVu2lQVIVtfndq1rVJeogDzxMJV2g0FYxo1YjgrPuOodtB+jx45QmWYasZCIgiuZn9yulWkNkU5+KZ+vK4Q8K3GzCwIWaMas7BhDK5u3LihSiuLbD2gwwcPqGB1Z9gUK1qU+a0bKusOGFBQzRo1VCpUdWDna0D/viqzlDEepSqnpf2TNe3uoADkoWpECs16deuqzFMQmkEtODXtMY4/DRjQrI50fGV4VWBuc3iBV90XjqMZBJmyZUvTbnYnGjR4iOoMzz7m2qat13kF4Ptji8BrQdkKAVAHjduq58q5vXv3qWoYrx6zbgdBEYKBjg2yF3PiSh941nr37kUjRoy0zBXxEsM9s0sGSJI6o1eVvh6JN7cN6tRmSTiBS62QWadXv0FUtXJF9aDu9gTEpcYOKq14/9VfT1f7vHQl37DwSuIHw2vWfut6P3qLSHEhQUAQEAQEAWZQPX2bXcXi9OlTvDiR9y2prvbvrnrIJQ/XF3vuOu66jnf7QdArtNXQQLvyHwmXGmTNQXya2Y0HbqHwF7dV5t1xwZUGTKE5pg6xC/fv31Mptc2afu9cw17/5j6QzQn3TKdhNZbXrccLoPFCdKNHjSSk98TaPI7i9uCyCwHKXh3gd5dzzYPRtPecwB3oHmd1DM3XxfNkJGfYoC3m4937g34fPnygrARgLr+VkDI3a/YcnFK3DafWrWvpDilaEQuBxd2+NcOPxiliRK/Pqb4gUnq+4fSkUJ56d16wsGHdiTFjRn8Xyx/WM0HCgvlz5+jhf9MWzyvI+A65zWKAhzdefOuofEejPX/Rw0cxGfuvbd66zVFVKRMEBAFBQBAQBPwFAtC6+0XybuYTCAP22kCwsFfm3bnr4F1zO1ggYPH+VrLXv7lfV11mwGCFMjc2HdsSLoxVgJ8xQNlYpvfBwNqr4wwbtPXJ/UG/Pmmnx6y3u3ll7P84/gIuxiC41xkJLm06o5fxvE/2HeGk+9PxKvrYO9tJU6cpF5w8uTxiQL3T1id1D/Fihi1bNPNJU5ttjAKBruA2wSBP7pwUxOB+oi9gb3uOU2Ah1eVLlpyxUISQICAICAKCgCAgCAgCgoD/RgApUGfNnq1cwIYMHkSpUnmsRfGzzBrWsIWLFqug9L379hJc6bxrafDpXDdtWOfr13KbYJDKc8VBVyaLFJVnOR9y4UIF6JQh2t+VtlJHEBAEBAFBQBAQBAQBv4IAGNvQJncevzI2vziOxo0actxEQ784NJfGhLWkTnG6z/AckzCSg+0LFizgUjt3VPoeAojbBIOgnD4Li7i8ePXa4dzfcKT1iVOn6Q0v0JWKU58tWLzUYX0pFAQEAUFAEBAEBAFBwK8i8KdnAg+/Oj4Zl3sRgJvTpAkege/u7dlv9OY2wQALfpzi3L5Hjh7noJoPTmeXIllyzlLAwsT1m07rSgVBQBAQBAQBQUAQEAQEAUFAEPBdBNwmGCxdvpIa1a9D5TkXsiuESPH5i5bSp8+fXKkudQQBQUAQEAQEAUFAEBAEBAFBwBcRcJtg8JRXQxwyYjTFiB6DgnuuZWB/3JyK6849tYCD/TpSIggIAoKAICAICAKCgCAgCAgC3wsBtwkGGDBy796+c/t7jV2uIwgIAoKAICAICAKCgCAgCAgCbkLg21eocNNApBtBQBAQBAQBQUAQEAQEAUFAEPhxCIhg8OOwlysLAoKAICAICAKCgCAgCAgCfgaBQJGixujhZ0bjhoFU//TOSy9fqv2Pl3oPrpbWRg5YV5Z799LJdziBZcCFBAFBQBD41RHAbzRW1vUOPXhwn+LEieOdJt+1LhJuXOfVXs+cPUsvX76k8OHDUyDToqAfP37i/Ohn6BFn+YsUKZKX/yr8R6CPp0+fqg8wChIkiM15YGXZJ48fW+qizbt375zm28c1Lly4QJcvX6EPHz5QhAgRbPb/M58EDn379adhw0fQypWrqXDhwopHsDWnc+fPq2fR0fP4ghdqPc157W/fvsP3NKBNjF2pg/t+4sRJbh/G5nju379P+IQMGZKzOnr1BEd7LL6l+R3jfHSZo/tp7xnVz104zttv5J/QJxaoxbNsj968eUM3b94kc1vUx324ceMGhQkTVr0T6E+vCv38+XPG87Z6frGP1ZDtPevoC+/Oeb5XV65do4/83BrHhPa2+rY1prt376q+gCEI71FQfsfM13YFT9WB4cvd71bbdu3py+cvlCRJYvWurlq9mhcOjm95NrDCdI9evWjylCmq/MHDhxSC56UxNgzNatfrk2VVLAffE4HgwYLT23dvVazG97yuXEsQEAQEAb+CABgP/Bb6J1q+YgX16z+Q3r59w0xbCMt2/drVFDlyZD5+Sx27dKU9/EeOOiDUK12qJHXt0tmy0um58xeoRs2aVtAkSJCA8ubJQ21at2aGIJClrHSZspZ9vZM+fXqaPXOGPrTagmkZMXIUzZ4zx+p86tSpaf5c63NWFdx88IqFpn/+/Zfy8Zx8i8aNn0Cbt2yhv//+i4Iwgx0+fDiblzrLQlzV6v+j2rVqka21Cu4zU9ytWw/C6rdGql+vHrVt01qdcqXO5i1bGfuRSujTz0fixInVvc+YIYOl6249e9HePXuoc6eOVL1aNct5vdOwcRO6dOkSjeL7WCB/Xn1abbv36k07d+yg3Tt32pyvo2f09p276rnbsmkjRYsWTfV34cJFqlGrNo+jKrVv19bqWsYDCCply1eg8ePGUe5cOY1FtGDhIhoydCgdOrCfli5bRgsXLqYN69eqOjiG4GakzJkz04B+fS1jQNmtO3eoJ+Oyf/9+Y1WKFTMWrVm9Sr0T9vpu37Yt1a1bx6pd5y7dKF26tPR7q5bqPN6jfnzNMqWsM246w9PYqW+9W2fPnqMMns/Htf+uU7fuPVgwSEDp06ejF/weNW/ZkkqXKUP169alKFGjUK3adXlhuQbUqGFD4/C87Af2ckZO/DAEIBHjIyQICAKCgCDgPxCYM2cuDRw8mBrUr09169RRTBk0mEeOHlNCAZJ2dOzUmfbs3UfDhgymzJkzsXYyKB04eJA6dOyotNUdmIE1Ehi0KFGi0OUrV+nYsWM0aPAQusaazeHc3qjZ7NWzB5UsUcLSNFAg+3/5f/7VgfYxcwUmqChr0KEhh6YXjO33pL379tO8+Qt8VTA4xYusFi5UyAuzZ57nsuUrlIC2ctUqFrx+t8IWmvBq7I0QMlRImjVzBqVLm1Zp009y3+HChlFduVLnxIkT1K59e6pcqRKNGzOa4sWLx1ryZzRwyBBq0rQ5LVm8kOLFjWs1tKXLlnsRDM6cOauEAquKngcPHjxUQgGEDmiVa9eyFi6dPaMQDIwEZrw+M5fFihahdm3bGIu87MdnDXaqlKlo7fr1XgSDNWvXUqmSJSlEiBBe2uEEmPt1LDw/efKEjh8/Qd169KAuXbvR5EkTVX1o9+vUqUeR2bo2deoUSpcmjXpur1+/od4No6Bs6wJD1arFBSluXO9ZGp3hab7W93i3kiRORBs2rCcsvga6yFY/UNvfW1HUqFHV/trVK12yAEqMgYJLvgQBQUAQEAQEAfciAAFg5OgxiokDY6k102HDhrVodPeyQLBl61YaPXIE5cmTWzFJYGigXe3etSvNnTePrrAAYCa4xYIZqFK5Ek2aOF4xfmC0jBSYXSDA4OuPPUbp0D//0Lbt26hv716KWdZuM7FjxyajxhrM2YCBg6heg4as6R1GcLMxEpg2MLpGGjpsOG3fsUudOnLkKE2cNFkJIC1bt6GmLVrSwkWLCTiBIJiMYc3ypcuX6K+/OygNKNwgZsycpcr1F4QVlF+8dFmfstraGycsMxMmTqITJ0/SUbZKoA9sbRHcXFasXEUQyt69e087duy0qjZtxkx6+OghTZ08iTKwJUa7KadNk1ox96jsSh1YkjJlzKSsAxAKQHhO+vG9iB07Fo0aNUad018QaM6dO8fuXhf1KbWFsIAyW7Ry5UrFZDeoX4+WLF1qVcWVZ9TY4Am7pDWo31DNuUf37koYMpbb2ofla8vmLcoypsuvXr2q5lG6dGl9yuYWuMKtrmDBAlS1ShUlMMPlCdSn/wB+toPSxAnjKCtbE/RzC0bfbDExdw7MYW3r3rOnt700HOFpvo6r7xaEnDHjxlMjtvpA86/fGd0f5jyDn7nGTZup92b9+g0UyGAhxH0ZOWKkEuRxzUlTp6mmeE+hOABNnTad8A5qwvswc9ZsatHyd+rUuYvlmiIYaIRkKwgIAoKAICAIuBGBU+x3DtegWib3H+Mlzp47q/yvs2fPZjyt9gsVKqg01qfPnvFSZjwBxhRaWTDEPqF9LJxEjhSZirIG2B6Bga5ZuzZbOo5S/nz5lIUCrglGBhWa9VvsZ2+kbdu307VrV9Sp6zeu05ixY6l1m3YULUpUSpUiBY0eM4Z9oKeq8uAsxESPHp1ChwpN2bJmZYY5o/KHHssME7TvmtatXcdMzE6KGye2PmXZOhonrDNR2HUrdKhQSguPa2DetmgTuxqBSpUsoTTjYLyNtJ8tG9B2Y7z2yFkdMHunz5ymEiWKW9zFdF9wqSvHbiCIXTAShAe4d8H1RxOEGFgCylcor09ZtpjzkqXLqAKXlS1TmsCQnzh5ylLuyjOqK79+/ZoaN2mq5jxk8CAr1zVdx9YW88N7gHumaQ3fQ/j458yRXZ9yukXMQbRo0S1YHeNnsnKliqofp41NFbC4bp9ePekfZqKBj6vkDE9zP668W7CI1K3XgJYuWUqZMmVSMSS/syJhJQummvr2G0CwcGTPlo0SsUDTrUdP5Xqmy+GCt37DBsI2UICAFM8z3grPOFyjQJs2bVYxE9jHPOC+OJstmunTp1UWSFxz67ZtZN+uiJZCgoAgIAgIAoKAIOAjBOD3C4Lm1x6dO3eBgweT2CyGtjRGjOjsFsDaYWsXZy/1U6RITseOH7c636tXHxo2dLjlXJ3atbz4VKPwPw4ATczWB0c0dux4xZRoNw64o9Rv2EhZAIYOGeSoqZeyQQMHWjS6cCOBrzn81DOyIJA8WTJ6zxr6SszwgeArjUDhjZs2Ufly5dS5lcwElytbxqIhVic9v5yNE/0uWLSIUqZMabmGsb3eX8aCANywEIRatlxZasBWEmh1tSBwnl018ubNo6vb3Dqrc+3af6pdgoQJbLaPFSsWC1q3lFCk3W3A0FWsUIFGjhql3HjgOrZx0xYl7OTKYe3Dj04PHzmi+gBeGDs05cuXLydYNkCuPKOqIn+1bttOCRbDOC5Aa+d1maMtNP65cuaidevWUYnixVTVtSwYlGFrAZ5xe/Ty1UvFqMK16iC71oHx7cjudSAEBT/jhXVTsZCkCRak48eP6UMqxBaUCHYCoz9+/Ehp2f0LQjs06vn4XmqXG0sHNnac4Wlu4sq7BasZ7vM/hw5acA3FwutgxrkcP3uY/6LFi6j1779T/Xp11SUKFy5Etet47JuvmSlTRnr5+hW75M23+4zjt2LL5s00l2OK9LMAAWXBgoVk/46YryTHgoAgIAgIAoKAIOAyAiFDeARRI/jQHiGLzYf3H+wV0+vXXzXlditxARjGcGHDWVX5X/Vq1Ldvb8sHFghbFIqZ85evXtkqspyD+w20j5qg0c6TOzcdN7kO6XJH28yZvgbUpkmdijPp3FVZU2y1CRM6tBIItMb+4sWLype+Qnmv2nG0d8c4wXRCkxyC79+q1Wvpzi2PhVvhWqQJ2u5XTjBzVochVPTpw0fdrdX2FTN3tqg4M9dginfs3KWKl69YrhhIPEtmWsbacFhFDh0+ouYCJh3aem2BceUZ1X1CsMiRIwf15Ew3cF3xDpUpU4rHu1MxubBYgBGGYOCIMMeRo0bT5MlTlFDQmzX8v/EzDYKbHOgzZyPSdImfDTDZc+fN5zH25oxHN3WR3W2rli2UxaF3n7526xgLnOFprIt9V94tBBEDV6OwlY+tcpg/hNH//vMQIDOzNUFTSra2fQudOXNONV/GQd49OHgbH1j/jrHV0etT9C1XkraCgCAgCAgCgoAgoBBIxtpvEFJ/2iNohaFZtkVg3sA0u5KG9fSZM6wBTWPVTZKkSdhVI4flY6+fpEmTMrN92a6vNVJBwhUkKrtxGClkyBCKeTGeM+/DP99IYJat0iU60BjrdoijQJA1GPbVa9Yq3/BUqVLqYsv2W8Zp6YR3YC1AoC5iHqZwUOvU6dMVcw2XEwhgoORsoTnPjKgjclYH9x50+fJlm91cuXJVMa3aWqArQViCG9OKFSvZneSGEmJgRTATUqSuZS09GE7MA5+Lly6qewkLDMiVZ1T326tHdxo0YABncgpCHdknXWOhyx1tCxYooIpxXVgO4nJAdcqUjplbBB+vYqEHAcjI0rR16zbLJRBki3tkjHOBy9LihQtowrixlnrOdoAtXIogtMBvP2BAT2nNRkNX8DQ3c/ZuoT4EgBjRPYKGdXt9z59yGVy4QJEjR9LF6p7iXfIpPX/+TDXFfdAfuBJCUBLBwKeoSjtBQBAQBAQBQcABAokSJlSl4ydNsstEwV8fTLfWiBu7mzV7jjrMaUrzaKyDfTB/CEjNmiWLucil4zTsVoIx6OuZGyFoGUzaJWYqjXT+/AWKH98jYBbnwaghz74mBDdCsPEuvXv/zqoJXD7AGEIoWMfMmy0mGA1cHadV56YDCBdIb9mkcSPFlIIxxWfqlMlqLocOHVIt0rILC1KHOorrcFYHWQihKV60ZIlFg6+HA7eO1avXUBHOEGWL4Fa1a/cumjR5snIPspVZB88F7snKFcus5lK0SFHL8+bKM6qvDysRAqMRX4C523tedH3jFowuhJktHLuxceMmjncoYyx2uA93oy6dOinmHT7wmrJny0pz5s6jh5yf/1sI8T0VK1Skvv378314a7crV/A0N3b2bqE+3iGswWAknVUoDguPMWN6CA1H//3qKoh4CwgUPqWUnoJ1nty5lHsSXJTwgYugvxMMygcNR+aPT4GTdoKAICAICAKCgE8RAOOHnPLIH69Sku7ZqxZagi/0tm3bVbcIDASj1oOzoyBDCMqQPx/ZcxCoW49zkOsUhHoc8Fs+y4IA8t9379GL05p2Uv7muflP3kh3OBAYGlX9ucHtbBGCl5FKFTnlkRkFmYWwgBNcPnTWnurswjF9xgyVuQSa0/UbNqoMN8gUoyk1uwWtWrVazQH563u66J6h22MLLfqpU6eU+wQEC01V+DozOTsRBA34y9sjV8Zpry3O79q1SzFc5cparwORkOMAEPS7bPlK1bxundoctJmeWrRqxfn3FynfewhF+/cfUFp8VHKlThv2G0dAMPz3kYnmDqcG3cwZfJq3bKXcu5o1a6quZ/7KmjWLCsRFwHeF8h6xF+Y6ixcvZTesslYuKqhTsWJ5ZYG5du2aSpHu7Bk19wsf9ubNmqnnBWlSQXheEVTuiJCBCGl4kc2pTGknQTOmjnDNEsWLU/8Bg1iI9Xguunbtomo14oDoFZx5CS438Mc3BsSburF7+Ef7tqrs+ImvzLe5sit4mtu48m5VqVxZBaFPYpcpjB/v3eAhQ9V8Q7F1CBr9pEmS8vs3nQ4cOKje56HDRpgv5a3jDOnSKStYvwEDeR2Ofcoqgd8dWMkk+NhbUEplQUAQEAQEAUHAdQSQNnEgayKRRaZZixaWhgjGRApG0OBBAyjBhAQqHSGYcxA09NCSVuMFpMyEQFgQ0i2m5dztwzjnfZEiXjXLyPiDjyYEns6Y7pEBSJ/TWyzIFYwDbXeyS8XEiRP1aWrJY0bK0po1aqh88shcAoImumnTplSpYgVL3b//+pNatmpNFTknPwjpM7NmsY5LsFT23IEW2kiFOQ5iwcKFVLqsB7N70jOYtAynvOzPOObLn99hLnZXxhkoYCDjJa32V7JgAytOlChesxVhrQEIcN26dCIwbKN5UbLhnCJyOqeR7NOvn+oHuIwaMVzlxodg6KwO3GmWLl5Mvfv2JSO2mXg9i9Url1NUXq/CSBovaNEhIEFrX6xYUWMVtQ9h8MLFCwS/fDPlyJ5dCRWImUAaXVeeUfShr419WFT++ecIr8Hwh7JI7GSBSlsfUG6LkIEI7i/x48VnLXhMW1UcnsOaCUWKFWcryRS1ABmwmTplEo3nBevGcHC80TqFLF0R7Cxch4uYnwG4t/VkV6k2LKAZ54m6AfkZ9Q6eaGMkZ+8W3OLwG9GP3bT0+1q8WDG1kB36wXgGDOjP6XX/pkZNmqiu8W5hwTf9+jgK4tZjCcSL+WlCyuQZM6ZR585dqWmz5vq0CnAOkCR1Rg+HOctp/7ezbP4sNn+FV/mhsQS9+ab7vxnLjAQBQUAQ+LUQOH36FOXMmdNPT/rDhw/0+PFjwp+y9iE2DxjaePxPhQwZ0lz03Y4R24BsQMjoYlwwDQNAik3MAUGs9v5LofUMwu5HYJ59SrBYIH2p7gPH+QsWohHDh1GhggWdduvKOJ124o0KKhgXAeDM+Npj0pzVwZgfPXqsfMntYeuNIfmoqivPqLljtMmYOQuvJzBexbOYy7/XMdyvwCmHCR3G5VSq32ts+jqO3i3UwXOO3wfze6fbw30IZe78fUC62+fPXyiBG+54X8UHfVXZCgKCgCAgCAgCgoDbEcAferRo0Rz2axWY67Cm7xVCaLEnuIDpjcxrATgivZCbozrOyiB4GAmuKrCi5Mubz3ja7r4r47Tb2AcF9tJiGrtyVgdjtmWpMPbh2/uuPKPmMdy6dUvFSiDH/o+kCBEi/MjLu3RtR+8WOjA/9+ZOvyXg2NyXPkZwepQowfShCAYWJGRHEBAEBAFBQBAQBPwUAlg5GW4q8MOHRhoaTSG/hUD8+PFpEt8bIf+BgFgM/Md9lFkIAr8UAjcev6M2S27StgvPOduL/5o6fEYLJg1LIyrHpjgRv2px/NcsZTaCgGsIFOGFnNJw0C+CtJ1ZW1zrUWoJAoKAIwT8XVYiR5OVMkFAEPAfCEAo2Hre/wkFuDsQdDA3zFFIEPjVEUCqUuRXF6HgV38SZP7fCwGxGHwvpN1wHQSI/Hf9P07V9Y6iRI5CMWJ4LDaDRUbg44flvJEFwUjPXzxXy8trn1AEjenFMlAX/mwIdNP0ipcgf/LEY0XDQIECczBKeM4+4bF6p65z+84dFZRmywfV2L+ujyAqvZAL2oLzsZeRAOnesEoo6qMdgpqQ9s5M8LODL64eL/ozB3whtzF85zB+W33oPiNEjEihTIF+mAdwMfvzIU0agoP0fPT4jNf/9OkT3eT7gT4ihI/AixPFVn1h7p+5zBaFChVaYW0swz1FEF+SJIm93Fd9XdQHTsACAUuaHjx4yCZ3j/unz2GL8QOXGLw4jL7vxr6MdfW+GR+k0wsSJLAXP2N9L9AO9wJLupvxQ51Xr17bXHre3jj0vdbjwRaWAv9Ov8Ic/fs9lPkJAoKAIPCzISCCwU9yx7ZsRb7qHlajLciZGXpz6rTXvGx6tf/9j8ZzzmtoV4w0f/4COsfLbQ/nTA6gwZwKD3maNSFYp0L5CirfMhjFDRs30rDh1vlxS5cqTY0aNrAwglWqVqU+vXtzirP8uhvL1ty/LtjNKfDALKItaN7cuRSPc/Ma6fnz51TBM83dZh4Hou6vXrtK9eo3MFZT+40bNaY6tWtZxtu+bVvOzVzRql5/zs8LPHLlzEF16tWzKjMedOvS1Uu6N8wDwhfSoxnp+ImTnJ6tHe3ivOTAS49vFacihJB16dIlXhGyM2HxkZAhQtLrN69VpP/ypUstczf2p/eBcccOf6tDpJ9btHiRSg2o+8ieLTt179bVwvzr6+r22MaNE4e6dunCq0mm5MVrlvKy92tpyaJFVoLdBE5DeJDzSM+eNcvSFLmfXcXn48ePnC6tMUXnFVCnTJ5k6QM7tp4djKlu3XpUjDV+us6SJUtp/rx56tj4ZWtOKNf32ljXv7kPGeem93+FOeq5ylYQEAQEAUHAbyAggoHfuA8ORwEtL4SCesxg1atbx6J9fvnyhcN29gorVaxEyKt7nRe7AZM4ctQoCh06JFWrWk01ATMHxg2a8ZOnTlLfvv3pydMnail0e30az2NFxta8aIsmaLTN2vxNvCx6o4YNdRW1xYqI9mjJosXMeEe0FEMbbqShw4dzVoScFiuKsSxRokS0nQUrEKwlpXjFxRFcP52nEGXuy9jWu/tjx46j2LFj04xp05TGHKkHL1y8pNKL7eAVG/US8k04b3CeXLmoZs0a6hJae7+KF6uZOGkidfi7A2ffyKMEgZs3b1KvPn2oA+c0HzFsmJX1YMWy5WwtCM0LCl2iadOnqxzHO7dvpxq//UZLly6jlatWWu4rhJXFvMJmf863bZyzd/DB8/KOLVZnz52lK1euUMKECa0g0s8OrD7Xr1+nmbNnU6/evXhlzgwWwdKqgY0DZ/faRhPfPRWJLWZv2dLz6oPX6wQPTPGihqD/7vCS9R9sW4O8NvI8E4ate4E5oOCJ9SqvdutLgSAgCAgCgoAg4MsIBPTl/qV7NyBw+/Yt1UuB/Pks7h8x2RUEK+H5lMCsQ2OPVSvTpklLR47+66UraMDz58vPC+xUo71796r81V4q2TgBFyS4KemPOR9vMV64A6s1wuXGSEuXL6fivHiJLQoaNIilP/RrFDSycv5kMLeDhgy2MN7GPjBX81iCBvk6PmNfxnY+2T91+jTlyZ1bCQVoDxcfMMUg4KDHEYitJ1hsxHLM1gcIgAMHD1YacqwKqV2DIGgM4MVPjh8/rlbEVJ15fgUMGEBZBBCcV7d2HXUWDDuu26BBfZoyZZpyt0LB1GnT1b3G+IzkHXxWrl5NpXihIVgwYCGwR5hX4sSJqQZbskD37t23V9XLeUf32kvl73DiTZ+sNL9OMvbZIno3IS+1LxNPXbVBoVj0ZUwuutYtIx3skJ4+Tc5H6ZO6ni5vf+vUdKtrpu8wA7mEICAICAKCgCDgGgIiGLiG0w+tFZNzN8OlZAproaGBdjcFYabb7GNvvAYYWlzfXQw0BBwsRHL48GHLZc6dO0fXrl2jQrzqpXfp05fPaoXQQ4cOMbO6ybvN3Vo/ffp0tJhXsYR7jncJ8wcV8lwNVR14fkVkl6+8efPS+QsXjKet9u/evauOsZgfqEL58rySaTBauGgJXb58mbHZQM2bN7O7KJFq5OALcQsQEIsWLUolShSn5ctXqHgQe02wWM92drnCsxM/vgczba/uT3Geg4L7b75J8489UsNtlTcmPXz5kQI020PZhp+gkTtv07FbL3+KqcggBQFBQBAQBAQBWwhY+2PYqiHnfjgCCJ4dNGggde3WjYqXLElYlr1K5crKZcUng3vHmunHzJg/fPiAduzYSUeOHKGhrKnW9JE1+U+fPlWBr6d4NdE5c+aw//7XZe91PXtb+Lfv3r3bUgxmuTuPXRMCbUuVKElr16+n7Lw0O2jd+g3qHDTdtgg+8EECB7EU9e/Xl5InT66O4feeNGlSql2rFg1jV5tsWbNQRA4o/lYyzwP9veTVQB3Rn3/8QZ06d6HfatZky0Eeqs7WFszfFbp8+YqqhsBgWxSHLQcnT56yKvrnnyMUImQIOnHihNLgwxqDIHQQAq9bNG9Bffr2UUIYBAtYFnxKGzdtVHEMKVOkoIQJElB3jp/Yv38/5cuXz9Il3NOq8JxBcF1CDAvcthCI7Co5uteu9HF/RE7aysHJZVOHp4+fibquu051s0ajFNFC0FFm3HMNOcGuQR8pbZLwtKxBMoodPhhdffyWMow6RW/vsksQuwdNrZmEqmeMRLeffSA2ylioeZ7odOvZe4qWOSqljemxMu2T4dkp1cDj1CB7NBq75y5dZpejVsXjUtfisSlEkIC06uRjqjHhjOqjXel41KVYbGJZlj5xEMEH3goJAoKAICAICAJ+BQERDPzKnXAyjgzp09My9g/fxv7jC9nffgkHs/bs0YMKFyrkpKXX4jXr1hI+oKRJk6l+NIOOc2Do4IcPQradGjVq0G//q66OXfkCQ1ytWlVL1bA2mP0SJUtQy1at6I927RQDu56FBAg/9qg919OacNRBph8z1aldmxCkPXzECOrdq5e52NvHuTgGoGrlKlbt4FuPAF57BKZ8MscI/MPCFnz8W7RqSTqmAy47DsmzHC5WOubAWP/Vq1fGQ7U/Y+YMCsJuO7AIVKxQgWNHrIOlixYpTHPmzqETJ0/QPBbwfErQ/sP9KwELBHgGQXh2Vq1eYyUYQBDo0qkzfWbO9/79B4RYkr87dqDJvGqpzqLlbAyu3GtHfUQOFYQqpI1IrZZcod6l4tLIignonxsvaej2W9S5aGxqkicGTdx2k/75My09fvWR/lp1jbrw+XtdMlK4lnvoL2bc62ePSuP33qPEkYNT4igcY+BJ6Dsury0w958H1DZ/DHrNnH3LxVcoLAsAYYMHogghAit3olGVE9DMQ/dp28VnNOO3JHS4VDyacOQBDS0fn/ZefUH/8nha8DjuvLARt6AvJltBQBAQBAQBQeA7IyCCwXcG/FsuB7/t4qwRLlqkCA1lzfiIkSPZ7aQgM5Eet/Hps2deukewbZBgHORoIGTA+b1VC17y3rZ7EISBGdOmsu96CJsMqqErm7tgjiHIOCIE/kaNEpW2MiMfKnQYCs9pUXHu9BkPzaq5bdo0aZwuFQ7LCpjS5i1bUBHOvAT/+28hZN7JnNnaB/wTM8jOCAJAlsyZ1Wfjps0q+LZSpYpesjCZ+4nFuIMgmMWPH1/tG7+uXLlKsBoYaczo0QqXcePHq/iD5s2a8X0NYakCAQPPzGYO7I4Xz+fuPMc4vgHjQt8zZs5U/X/gAOMDF86rVLA6x3iY0KHVQkR6AFicqFjxErR121aqyQKmK+TKvXbWzzxmwidvuUnJODC4fcGYlGXESSLW9LcvEIuKpghPh5kxD8LPR8N5l2nN4Xt0//kHml+XY3Y40Ph/GaPQbT5uPv2cusxnjh0w07krz+n5e7asvf5EKw/eo+QJv6aKrZMtsqoeiy0Rv2WOQh/ZMlA2dUSKFMrjPc096LgKVC6eIgKFDPY1VbD5GnIsCAgCgoAgIAh8bwQkxuB7I+6G68HXP3v2bMpPH7nfwRCDyd65c5dV78iAc4JdT1IkT2F1Hi4mcOexFzMQmJlJlNvSWlt19A0HuHZ59oFfwVroNWvWUFm2UNgbj3cug9UxoaEfNGSIWu/BO219o24Ovk+gZ+ya5YySJUuqXG8WcopRM508dUpp/XPlymkuUsdwo4Kb00xDGlJd0R24rl27TrlGzZoxg/RnDmccgoXAUVwHAqqRsvXTJ+cClR6vO7a3WQgAvePr8mughAIcf2TBDuJi9DAebmmXHr3BaXr5zmN8ifh82OAB6fW7r4Hx7z+hA9cpPFsNQJcfvqUrD9/RlP33adLeuxQ5dBCPsXhmL3rK7kxCgoAgIAgIAoKAX0JALAZ+6W7YGQty41/lwNQU7FOPxZ6guZ05c7bKDAMrAqhKlco0dtw4tfBWfg7uBa1YsZIusEa3a5fO6tidXxgD3Fc0QdhA9hzQM7ZcXLl6VRexj3YAmxpwWD4meebC79q1i6W+rZ3/OPXlM17nQFMkjiEwL56ly5o0bsTuLtvo6L9HWeOfWZ/29S1cfRDgC2tJFBbUgMOsWbPVdXU8hKNBQBvftEkT6j9ggMoqlJ999yNEiKjiB0aPHcOa+HQqANlWH6FZU9+G3Yj69e+nLAS2LA622rlyDovkYV6DeFxGguBYsUJFfs5WUC3PtKtYfA8Ls0EoxfOxafMW1SR7tqyWpqhjfHZQYIyr8M69tnRq2nHGyq8791Qx6aMrJ6Qi0y9Q79Jx2f2JmfmbL2klxwS0yReTimSMTIkih6BgSCnqDVr672OOaYhKr1i4aL/0KiXnWIRHLHicufeGmuaMRj0qJaRN559S2hih6OFrEQ68Aa1UFQQEAUFAEPBlBEQw8GWA3dE9VoodNGiw0rzq/goWKEB/tG+vDzlXfVVeJfijChSeym5AIDCSkyZMVIGiloq8w3z6NxNcV/DRhJSn48eNVYdbtm5hX38PhlCX6wXOcKx97eFzthKw5AAAQABJREFUjlSjgYMEZotHFF1VbXUdfbKVYV0EnGvSuAkHG9dUxYECWrtjINC1C+f8b//nn5Zr6X705F3BwFYde+5JGC/88BcsXGS1QBysNTN5fQEtwFnGYWendKlShAxEEyZNormei4BBK1+yRAlq2KCBl/kYcSpRvBhnClpOwzjGYhR/jKTdzYznbO57Tto49+0cU4DMQtmyeVg/jO1KFC/OaVCnElyNQPcf3Keq1T3iUdAmdapUPJaRlCwZp/v0JNSpXbeuPlRbBCiHC+fhjuPoXls18sEBBAYlNLx4Ty05BgGCwZf+WTgI+AvVmMkZnz5+oXYbblDJlBFoU/NU9I6Pn2MNAxcJwgVck6anj8gxCDGpXQEP97DK087T0n13aSMLBN2Kx1EfBDHbe55cvJxUEwQEAUFAEBAE3IpAgCSpM6r/Sbf26sc6WzZ/lgpchUYWWk4jM+XHhupwOFgZGK5DYBQduYegHuZqXj/AYedS6DYEXnFcxxv+wKLxLfcAi4S9e/dOWQ/cNjh/0lH49l7X3fDx1DgWgJ6+89qcA405uthTkvBa7PQMBPCIHLiMvo3uSJz1iD6ysMFChzN6OjSDsypS7onAac6gljOnbVc7AUkQEAQEAUHANQTEYuAaTn6ill7wytlgXK3nrB8p9xkCWBPC0boQrvYKK4OrlgZX+5R6NhCwJRSgmq2Vjm00t3sKfP+jt16LJbbAKyZyRhAQBAQBQcBPICCCgZ+4DTIIQUAQEAQEAUGADVQqWl6QEAQEAWcI/KzeH87m9aPLRTD40XdAri8ICALeRgAxEP6dfzLGeXgbIGnw0yEAgQCfzwhUYfqCVfCEBAFBwAsCAQJ4JNREjBaEAxEQvED0TSdEMPgm+KSxICAI/AgECiYNS1vPf81S9SPG4NvXxByFfg0EIBAgpe/Hjx/oE6/kjvVSxHLwa9x7maX3EYAgEIhTngcKHJgCBw7CsaMBRTjwPox2W/i6YIAc+/Vr11Q3bdbcBfTi5Qu7g5ECQUAQEARcQWBE5djUZslN2nbhub+zHMBSAKEAcxTy/whooeD9e17z4vAcar1rHC+AZyMY3v9DITMUBFxHIEgwGpm3OTXMUpNj8YKJcOA6ck5r+rpgkDplCl6tNZYaSMMGdWjK1JkiHDi9LVJBEBAEHCEQJ2IwWto4kaMqUiYI/BQIeAgGH+nNmzciFPwUd0wG6ScQYOEZQnSN1JVUtsmAAYOI1cBNN8ZXVz6GuSdipIiWoUaNFIlzsdehMKHDWM7JjiAgCAgCgoAg8KsigJiCj5yGGqmJxVLwqz4FMm8fIcDCAd4bvD86NsdH/UgjKwR8TTCAUFC6VHEqkCe31QVFOLCCQw4EAUFAEBAEflEEdBwBYgqwbomQICAIeA8BvDd4f0D6ffJeD1LbjICvCAZaKMiZNav5euoYwkG9Oh5xBzYryElBQBAQBAQBQeAXQADZh8DQYOV0IUFAEPAeAnhv8P5IFi/v4eaottsFA2dCgR5MCA5KDuiZckqfk60gIAgIAoKAIPArIvDFM03przh3mbMg4FME5L3xKXL227kt+DhkiJBUtVIFChYsKMWPF9fuFY8cO0737t+nEydPs/nnk916UiAICAKCgCAgCAgCgoAgIAgIAt8PAbcJBtmyZaZkSRM7HPnZCxdpxco19PHTR4f1pFAQEAQEAUFAEBAEBAFBQBAQBL4vAm5zJTpx4hS9evXa7ujhAxY2TGgKEjSI3TpSIAgIAoKAICAICAKCgCAgCAgCPwYBtwkGjx4/pknTZ9oUDs6ev0jDR4+jUCFDUYO6tShEiBA/ZrZyVUFAEBAEBAFBQBAQBAQBQUAQsImA2wQD9H6fYwfMwsG9Bw9p3oJF9ODhQ5o4dboSDhrWq0ON+FO5YnkKFjSozYHJSUFAEBAEBAFBQBAQBAQBQUAQ+H4IuFUwwLDNwgFSSemYgqdPn9L8hYspZvRolDBBfMqUPh3VqVVDhIPvd7/lSoKAICAICAKCgCAgCAgCgoBNBNwuGOAqEA4msHVg74GDNGfeAqsLRzKshIyCBJzBSIQDK4jkQBAQBAQBQUAQEAQEAUFAEPjuCLgtK5F55A/ZdWjNug3m03Tu/AW6//ARRY0cyVKmhYOZs+fSO1n90YKL7AgCgoAgIAgIAt5GgNcIap6pDNXPXJ1iholOQQIHpdP3ztLY/TNo8dk9drvLGiMRPX//ms49uuOlTqZoCej95w908sFNyhsn5f/ZuwowKY4lXHA4wd39cAkS/IDgbsHd3UPwQICHW9Dg7u7uGtyDu9vhLq/+vuthdm/tDDmq+I6ZaZvuf2Z3y5tOP7xBD14+JQoVhgrGSeGj/eXHdyhUiBD0U8gwdPDO5c/1PLeCCdPSyQfX6O6LJ0Z59HARKX30hLT12kmjDCc54qagB9zuwpN7Rnm0sD9RpphJaPONM0Qf3hnlqaLFMe5nMUejBVGKKDEpUujwlnPyri+TIjsduXOOrj/zNHpgnJDB3Yxr88m9l5507+UzShk1Hu24ftqoSh4pJhVImo3efnhLB2+dplMPbhp19k7Sx4hPHomzkuerJ7Tz6lFjDhliJuRx3vl4JsAgQ4zEPvDC+LbWgXKMFS5EaNp36zwuLahAwnS05+4levPGZxIZ96ixqXCynPTw5SPafe24MTcMYAufx6+f06G7/Myt3o1j9696vTMWd5aLbw2BQBMM7C301evXNHHKNGpUv64P4aBQwQK0eu16e12lXBAQBAQBQUAQEAScIDCsSCuqm6UqFZ1Sgw7cvULl3bPTqNL/o9qZKzsUDGZW+pti/xSDIvXLbnmHECHpQPPVtObcZio1uxVtb7SYBu0cRZ02jqWqzEzPrfKPZXu+Wn9hC715/5ZKpSxCbj3TGvWVUuWiBdUm0pbLO6ng1MZG+eRyf3m17ZWeiHeD1rS89lR69uYZJR9eXBfR6FJdqGr6CtRhbU8atneBUb690UKjrXmORgM+mVR+AKWPnZqi9stpLqbyKXPSkhpTmCnfRx6T6xl1GMcenb1/XmHSNlcTCt4zDRELEHsbTKMcCbKq3Xix4Sto5tGFVHvJnzaHqZHuV5pccRiFdgttUf/H+t40ePdcWlN7GjPTDynT2EoW9fUzl6ZBRf+kYL0zEL3/LBzZWwc6Y6x4EeNQtflNad6p7RbjbWm4kJqv6ETjDq4wyudV6kflU5dkAS+UxXrG7JtCLdcMVu1s4fPolSdF65/L5rvx+t1r2n/zCOWb0cRi3sZN5eSrI/DFBQOs+Pnz5zaFA6Q0FRIEBAFBQBAQBAQBvyEQJcxPBEZ1zvEldODOJTXI0rN7KU6Ev6lO5ioOBx1/YCYNLd6L8sRPSbtunDXadsz+G4HJHbRjrFFmfZJvYgXafe+KUfzh3VuqmTY/lUlVjIomzUzrLx1WdTV/rqiOuRP+YrTFSc6E2ejCQ9Yym4QClO+6spfKpS5BxJYGXfdrsnyoouoZyxuCgVvosBQzXDRacnKlqvPtf53ztVLMr5pXSGbS371RQwTr+zO5eTP4Tzruon03DlLRuW1V3Yf376ljjt/o/SevvZmaZi6hhIIuG/5HA3bNUnOuwRicf3jN5nR+S5WbZlUeQzee3qLKc5vR3pvniPjeHbKVo2lHVtvs46zQ3jrM/aZWGEHzzuUw1miu0+fLqg+jsqmK05xjS2gUW5pgZQDG7bOWo/Xnd+tm6vj33gnUYctn4fCD1V5VmUcXoyMPblDxxJmoTJpC1CRbHbraeg0lGlXK4RwsbiIXXwwB/qR9HYJwMGnKdLr38KGawOWr12jTlm1fZzJyV0FAEBAEBAFBIAggkDRSDMXEgyHPECOBsaKxh1dR02VdjGtbJ8P2L6GPzJj/7sHaXBM1zFKDnr5+yu4y/5lKLU+fsQvKhzevjD/6+IFmnd6hmO3KGUoajfMnzkXnHlxQGnKPBKlVeejQ4SgGM/Vrz2822umThSdWUXAWCkok/VkVxQofSQkAGCND7M+WiEbpC6n6GUeW6q4uH3H/bPEy0eh/J1Mw/vdn7uqf+759bazpE32i97wuvU64Md15el9ZRtAhT6Lsar1KKEABYzn75Bbaf/sCrnzQ2HID6QW7biUYWthLKEALFkiG7plPD18999HeWYHDdXh3PnXvDIVh9641VYbYHa5cyhxKKJh4cCbVWNzNcD3CumHFOH7PUtB58/6NgQnamC0Yxk0Yt7WXDlGzVQOpzqLWlDByfBpRqLlRLSffDgJfTTAABM+eP6NRY8bTP5Om0uSpM+itxBd8O2+GzEQQEAQEAUHgu0Pg0P1r7E7znCLAj77FalpUdTBVYPcd0JF7Vx2vhxnd/TcOU7EUvxrtooWNQO7Rk9HCU37QxPN4N57eZn/7PGo8+PdHDBORem8ZTm/ZzahBtqqqvL43Uz/ryDLjvvpkHsdEwJugkrdw0ThLeXXdaOkf7PsfUvnTo225NMXoHcdAKK277uzisbdHXdWyB2u9T98/S02z1XaxJ9Gxu+do9dkNqv3G89uVULauNltW2L/eEUH7DmFo6uG5hiXEUXtX6lxZB57H/BNLqbh7ISqeNIvNYUulKqQwbrxygM16/xbOPLFJvaP5kli6c/l3XOkfMAh8FVci89Tfs2/c1WuW0qe5Xs4FAUFAEBAEBAFBwEUEWDNbd3EbShc7pdEB5zHCRaXxx9ZbBOsaDUwnf++ZpGIG4Oay6Mxu+iOPF5M8cMcEUyufpwdbrKEPnz4YFfUXt6NZJzbT1ks7qFYmdmFirX/DrJUUwzn71DZqkeMYFXMvyO17Urm0xenNhzc2A4Jhebj25Ab9miSvGrtiupLqGtYLaNvrZ6tCK87/S7/Ez0wn7p427o+TjnlaUrvcTS3KIEx4vn5sUVYvS3U6fvcUPXn9gkby+seXG0IItlYBtBYtfV5Ae151YVdVMf34RiqRajlVTleWPnQ7pOIP2q3qaxE4rUcoEo9jEpj2Xz+qi+weM8ZOR297HbeoDxHMJ/vmyjrcOA6i6uIeVMK9MM2v9g9F7M8uRYyxmfKwm9fD1xyAbXLrGla0DYWGixXTufsX6e9/P8deWOO8mIXIagu7mYf0cX7h0SVyj5bcR7kUfH0EfL5ZX39OMgNBQBAQBAQBQUAQcBEBZO7Z2/Rz0Ki9bv+U8woY1fWrzm6k0rNb60t1RFDqdNbmt87dUAkGtTL9pnzgz3ves2hnfTFk1xi6+eS2Ubz9yhF1PufYSqr9c1UVAF0udXH2t7+oGM65J5bRyJL/o7g/RaEc8TLTsduWTL0xEJ9svLidGmSuoYJ708dKQ/8cmK6q97K/PwQGWDWihIlMI89MMnfjQOK9tPw/FoZM1DpnQ7ZaRDBKkFUHmvsLDy7RwMIt2ArhxRb1KNiKys1pb7Rz9aTKgs7Ud+toDgzuzMx3QSrRviBVnNOAlp3dZzGEJ7tmgSJzNiZndOfZXRq8i60QJiqULK/S+usiX62DBYHq85vTytozaHb53spdSI+D43sW8IKzS5WZav5cicK4haGfQoWjW8/uWAgGW6/souWn1hrND3MmJmeEmJVXH147ayb1XwEBEQy+AuhyS0FAEBAEBAFBIKAQQGBosD+9/PVtjRkpTHiqn6kEReDA5EsPrtIs9nt3RBuYEQdTmzZ6PA5ajk19tw931FzVzTu22qarEoKOEbdQOUMpShEtKTO4o1X7UUfWKMGgY546yr1o2X+fGUvrm805spwaZqlJIzjbEuINphxYqJrMOLSQCiX1MKwaMw5bCkf7rh8ygpP1mGVTF1NZifR1j4JtlBXj5zjpCX8guCSVYFcbc8Czbu/KESldi89qSQkiRKX/2mykISV6smBQ3KLrvtsX1X1zJ8xKo/5dYlFnfXH3xX0f64DmH+5Amny7jlUXDqjMUdUzVqBx/87Qw6gjcKufubrF+mMO8HIHO9p8IUVnQcpMB28cpZH7fRfbkSxKUs5OdMg8jJx/Iwh81RiDbwQDf0/j9u071LV7d8JRSBAQBAQBQUAQ+JoIVErt5Xaj5wAXmX+vH6e/fv2DyqezZFB1G/Nx8I5xigGfX3W0Yl77IsOOP+gsBwqXS1VC+d9POrjIayQO6r32+AY1ylpLXU8/ssruHbC3AZh1ZLOB+5B28Zl5aquaX4vs9dln/QVdenLf7hg2K9xCssUhDy0+vYrC9vnZ+Cs5vbaKX2iWhbPm+IOuP3tEZx6cY2tGJJ+jsLB0jxn+CmlLEfY98Bf5cR3F5nUgpA9dXHOywlHPYd3ZrepZLawcODEGAzjoGDEwq85s1LeU4zeEgAgG/nwYnp6PqWVrzuu8fbs6inDgT0CluyAgCAgCgoDfEWCN+oJqE9RmVuZB9nAqzHucD//orVPmYpvn8N9HFqK0MVOpYFxbm15Zd8yTJIsKBMbmWvjDZmOa1p3bojLhICja7JK04sx6Cs+uKbjXreeeurnN41n2a0c2HaQLNYhdYpCdCGP86wftc+ecVZQA1HvLSGNInGy8fFTNqW2uRhblzi56FWhAnfPUVJuyYf09POpS5jgZadfVf212LTerIadCdaPDLVfT/wo2UXENOeO505/56xEyDLlKfl4HC2cNl3ZQWZ70ngu4J2JLlrCw9Fva0rS53gRqlrUMIdvVL3GS+7AWoL179KQWzx7pbs2ULX46Qqaj7h51CBaHTh6taMHJZTRin7eQaG4s518dAXElCsBHcOfOHSUcjB45iuLEiR2AI1sO9cjTk65fu05hw4ahePHiUfjw4Qllnbt0ob59+lDMGDEsO3xHV8hMdf/+fbWugJr2a95U7+LFS2wVDkaxY8WiqFGjGkM/evSIXr58aVzjBF+QwBV06/ZtCh8uHEWKZKnxsZ7nixfPCUKiNcWMGZNChQpF5vuE4N1AY/AzcnOzvZvmkydP6NmzZxQ/fnyL4d69e0d3796luHHjUvDgjmV63RYDoG2ECBHUn3lA38zpw4cPdPHSRYL5OkmSJBb3f/rsKb1+9ZqwVmvCOl68eEGxY8dWWEaJHJnf27BGM9RfuXpVYRE3ThyKzPUg4PnixUubY+J5nr9wgWJEj67GNQbzPtHPwhZO2JE9dOjQFljYm4P1uHItCHwXCHjvBzSz0giqNq8l71B8S7mE9GJm8/XbVzT+oGO3Fb1GZCFqwGlKrd1MdL31tkOIFzDTOt4MDe40oGmcQhRBwDuuWPrZTzgwj1rmaECIFXBGqzkeIl2sVDT/mKW70OLTq6lrvra8f4HPvP/Wc/S6Bycd9a5o+kttuv7kltrN2fr+048uoFY5GhLSo5p3aOYACeumxjXmVzFNKeMa98GGaWUXdjbKzCdwAas6vxkNKNqFOnu0VutAPawjs9iCcsl7F2KkSbUmuGdpcnUdaK/XrvsinWrzHP9SroScatV0n4rzOtL0Ci9507nCRuA3+uC+2OjOTOV4EzT8aXrw6hHF6J9bX6pgblzAOnHR8wr13DKIem+batTLybeFQLAU6TL7fOO+rTn6ezZL5s5QDAcYEjBjZsnY34PzALASwGoAwQAEJigwhIOzZ89S77596cqVK+o++r9hQ4dR4kQJqcJvv9H8uXN9MJS6XUAcT5w8SfHjxacoUbwYuIAYU4+hXbLOnTtLu3fu1MV+Ph4+coT+GT+eTp2y1JCVK1uWOv7+uxq3S7dutGPHDh/32MkWIDDUufPmZUErJs2aNVMJCLrhqVOnqXHTJqTbLV6ymIYNH6GrjeO4MWMoQ4YMZOs+lStXpmZNmijBwejAJz169qQtW7bQujVrLBjYc+fPUb36DWjFsmUULZqlj6e5P851W3N5rpw5qV7dupQmjVc2DFfm9ObNGxo4eDDt3LGTXr7yEqDChQ1HJUuWoNat2N+XMVq7bj31/V9f2rCetX8sRJmpx59/0nMWDIYPHaqwhOBaIH9++vjxo3o2s+fMIYynx8ZzwfMBnosWLaa5XK/p1q1b1LdfPzp27JguUs+mYYMGaj66UD+LDu3aUYUKFXSxOnb4vaN6HnVq13I6B4uOcvHNI3Dq1EnKlSvXNz9P8wTBpL3nTbKgnHhw/wEln/GZqTS38+15uxyVqFTqwpQmujtn2mHBnTP+rD+/lQbtmuGn/Pi+vf8P3Z6VJxk4NuM1B3Cfe+TFE7iEB1t6MsSIT568fwFckL4p4tSrP0eORdd4Xg9fPfumpnah9iqKHiM6hePfHijdApq/+6YW+4UmIxaDAAAa1gEIAlo4CAzLwcWLF6l+w4aUP19+GjZkCMVizTd+UI4cPUrp06UjaJm/BA3me//eoUOACwb79u2jHn/2pESJEgXIMo4ePUatWrem8uXKUec//qDEiROrcS+wptkq2YJiRNtwW034YjFr5O/dv0cTJkygdm3b6iY2j9BQz54506IuZMiQxnXFChWpbZvWrPW/RxBa+vXvp6w71apWNdrA6gChAMzyZj6CSfYPQYgIwwLx6dOnacqUqdSmbTtauWI5hQkTRg3raE5gWgYMHEi7du2m/syQp0uXlrCeo8eOU89ePZXmvVnTppQ3j5dmaM+ePVS40OdgOGjit2zdSn927+FjCSdZWINQgHc5e/bsikk/f/48RTFZc8ydMFYHFhqiR49BU6dMpuTJkhOsIuvWr6N+A/pzvygEwcdMQ4cPp5w5c9m13vl2Duax5VwQ+JYRGL5vIeFP6CsgwO5N1huAuTQL1sT7qZ9Lg/uzEbscOd0Dw5+3kO7fDgIiGATQswhs4WD02LHk7p6S+vT+y2BaIR1ny5pVrUALBjdv3qQFCxfR9RvXKVHChFSJrQjaLQbuIJs2b6FDBw8qd53UaVJTieLFDQvD6jVrKWLEn8jzkSftYiYvZIiQVKBAfipUsKDafG7S5MnsknORpk6bRjGiRafCRQqr+0OrvGbtWjp48BD3j0D58xeg7L9kU/OCZv3Y8WP0S7ZsihF8yK47gwYMMBhTDf813suibZs2aq4tWnmZn3Wdb4/QRndkYaBk8RLUoX17Cw2Cu7u7j+Hc3EL40NqbG1WtUoXmzZ9PBRmHDOm9slaY6/V5CLZGwW3IEUHgwLtSMk5xWr9hPWu/j5NZMNi4cQMlTJCASpcuTUuWLvW3YIC5QIuv35O2rEW/yq47KVN+9gG1N6fDh4/Qho0baezoMZQxYwZjWVky/0xdO3emjp06UamSpShBgvj8jhSidWw5MAsGO3buUn3y5PXKZmEMwCd4jyD8QCgAYQ7mOalC038L+Z1+9vw5jR0z1hBK4RJUtkxZunnzFgtZ/WnVis8uBr9kzUYPPfldGzJYCR+2tEi+nYNpOnIqCAgCgoAgIAgESQQcOyoHySUH3qLA8HXr6rXRCe4Cy8GoMV6p2fxzV/iz79+/n6qy64lZk21rzPasVY0Q4SfyYBeYY8dPUJNmzQgCgaZNmzZS8uTJqBgLBCdOnFSuSbruJJvie/fuSxs3baacOXLQO958rmevXrScNczQHieIn0A1TZ0qFWXJkkVpu1EOV5M57MKUIUM69p2PSe07tCdYAEC3bt9SdW2ZQYeLVX4PDx9CAdrBrQbuKWYfR5T7ha7fuKFcU36rVNFCKPDLWOjjkdeDPHje/Zn5hBAUEAThBXEi0aJ9jncAlktZw1+mTBkljIFxhUtQQFGokF5Ci7YWWI9rPacLF1mDHyWKhVCg++Tg9wOM/YWLbIFhKlq0CO37d5+KpdBtNrFQUbRoUR/uRaiHEAD3oekzZirNv+5j73iG3cty5chpCAXmdkUKF+b4Dk96+PChUfyBtW/d+bOIz8269RuMcvOJb+dg7ivngoAgIAgIAoJAUERALAYB+FThI/8/drnQFIeDKVu18J/2G2Pd9o5dSMhxBM6oOQsCNapXV83Ssi95Pfa/vn79unKlQXzF4EGDjCGSJE6k6u9xsK85YHkAu2ZAyww3nP4DBtK0aTOUZrZw4UI0YNBAAlOoNef/nTlD69m3HO4d7im8tPGerKldvGSJaoebgWkbwG4zefPkNe4dmCdn/jujhk+aJKlxG7gW3bnr5e8JSwusIJrgk77TFNOQKVNG6sm+8Zo+sGkY/urVqtegGewq1IhdumzRNca5PLsLmWnxooWGMHebhSQITHiecM+Bi1LZsmWM5nBtwRjQukfnwFpovdewFce9jReuRkNfnMCSBGEGFpm/R46ktGnTsobfS8DDMI7mdO7cBUqRIoXNuykrQ9w4KqgbMQOwSEBQ2MaxGRXKlycE+e4/eICGstBoi9KkTq1cs4aPGEELGSNYTcqwlQRB0rYIrlCw3NgiuNWBLl2+bMRewM0O1qHatWrRsGHDlAXLHHSO9r6dA/oICQKCgCAgCAgCQRkBEQwC6OlaByBDKBj190i7/s2+uW1Yb3/wV69eOe2WKWMmo03y5MnVuefjx5TYuxRuJIcOHVIZYp4+eapKHzPjrgWDdOnTWWh4M2fOTKtWryJkgrFFF857aYxXr15Dq2mNanLhwkVSvvymDrnY1zsgCFr1Vas+Z59wd0/hwwXFLYSbuhU04JoOMJN6gF2oIKQgiNUsGEBgqVKlsm5KEW0wp2DU23KMAeIC8uXzMNqaT6Bd//PPHuYiQyhAIYSTu/fuKa065mEdKI51IdD5+IkTaoyoHGAMXJtygLI9Lb/FzWxc1KpTR5VibvnY6tGABUWz1cnRnNzYvef9u/c2RvUqMr+PiD0oUaK4EmQgGEBAgKCQ1dvVzdYgv1WsSAV/LUgrV62iufPmqb+RLCgkTfpZoDP3e//+g/nSOH9l591Egzq1a7P73GaCANKnd2+jjz7x7Rx0PzkKAoKAICAICAJBEYHgQXFRX3pNgSkUYC1IbQkm6wprRJ1RpEgR7TbZuGkTVa9Zk9NDXuOUk0kpiw2mzRwsi4Gie2e/MbsjmW+AVJUgaKH1X8GCv1KLFs2NZmBK7aXmNBq5eALBAEyn/rty5aqPnlrLDUuJJmj5J/zzD8GiYk1Is/lzpkzGX7JkyaybqOsSxYspLX7/AYNUyjbrRhF++skYQ49nblOc3bdmcHzGtClTVPH+AweMaqT0hAAWJkxomjZ9uvo7f+G8crfZtXu30c63J3Nmz6Yt/Nzhf4+MP1H5WZjJ0ZzicsrWM2wRskUQFCFg6fgVtClSuAj9d+Y/usGuXIhXQZwErDOOCNmtateqyULSHOWGNnvOXJvNkyROQpftvP/X+H0GId2pNUGg6t61mwqCRvap4Jyy1ppcnYN1P7kWBAQBQUAQEASCGgKOf7WD2moDYT16gzOdqjQgLQV6ugichHvLXA6ALcz+1PbcLXR7e8exY8epYNH27byy6+g4AHN7MF9gvnWw5uUrl5UWG3slaKsB3DQ06WBeuJIEVEYhPbatI7TdQzmg1BEl4Pz/EKSmTJ1mEaztqI8rdcCk4x8dqRLHQyxY6PeMH7A+QEAZN+4fpcVH6tGt27apOU9nwcEcwNyn7/9oxcqVFhYOV+aq2/zEzw1Bus7I1pxy5shOEydN5CBpjhXgQHMzIRYClCVLZqM4DQezw+IB7T9Sznb8vYNR5+wkfHgvoUrHLFi3R+ajv0eNovr16lq8Z7AKLWBXpMScdQqfPVuEwGlkXxrEGZAgYNgjZ3Ow10/KBQFBQBAQBASBoIKAWAwC8EkGhlCgpwdtL1w3/ujUWeXdhw83NrtCikgEJ7tCMWLGIM/HnmrzKMQGIPDTmqAFnjFzltpgC37d48dPoF9/LaCaQfsK7f/OXbtUqlT4rqdJnUoxgyPYfx0pODHHS7wRFtKofi2C8DBs2FC2Kmyjv3r3oT1796oN4B6zSxW02dYEP3z4p+s/630izO2hlYZghZSi1vT69RtjDD2WFqas2yJbVGTWlo8ZN05VLVu2XMUbmIUCVCAgG65fyDalCWMjMFn/YaOygCDrOSE4t1jRYtS7T28VFH2V4xTwbBFoPpr3Z2hQrz4/+xjGrSE4wUqwbPlytQkbgtTt0W62gvz77790j12rgD+e0UoWgLL/8ovNLgjIRjpYbOK3mTNrod/x48dpMO+PgLGQ0crsImU9SJPGjVTR4SOHjSrfzsHoKCeCgCAgCAgCgkAQRUAsBv58sHBDGMOazJGjR6tAY2QmCgyCu8sIDqKcw9pYaD7how6ChnbG9GmGht/WvYN5J+5v0qixYqyKFCuumrVs0YIePHxgkdcfAa+79+ymCRMnqDbI+AIfd02NGzWigRzAvGDBAmrRvDlVr1aNxnDmpf79B6h9A3Q77AsAdxptedDlzo56rs7aOavH3g4jR/ytUn727NnL2EALloRfC3gJOnqMTZs3sR/6Jn2pjnrjMlxYr6F8ufJKi269cRqCiWuxT7uZxnGaWR2ozXyzQRAAsC8C0qpmY8zhgtOlcyejXp9kyphRMcQbNm6i3Lm98vQj5aiZ6tWtRw0b1DcXGefWczcqvE/szals6TIqG1G3rl0oMQepz2Ahcggz4SCkU+3auYvFpmLew3FK119pMgeilyxR0gduaKPvB0EHFgBNeC6VK1eiKmyNsUUQSqdMmkSjOXUq9lbQG6IhmHrCP+M5qNpr0zbdFzs0mwkWL2Qp6tCxozEv387BPJ6cCwKCgCAgCAgCQREB2fn4O3yqcPWBYBA6dCiC+4NvCK4Xj1lDiwBba/9vpB19++Yt9ejeTVkM4IJircHGvWChwG62kSNFstDSovzFi5dqL4OAiinwzdrstf2MV2i1O6IzZtneOD96OeIgoJXHDuIBQepdZCsO3sOIEe3Hxti6F6wMYPat32FbbR2V+WcOjsaVui+PwPe+8zHS7SabVvLLAyd3FAS+YwQu1l2tstHJzscB9xDFYhBwWH6xkcDYWqdedPXmYOysA1Bt9XUUxwBhIaqNjbxQbkuQsDX+lyzzD15fcp7f+r3AiAckqXfRzk7Hzu4TiYXSgCD/zCEg7i9jCALBggVXViy8ixQiFNF711xDBTlB4IdHgD8v+NzgNx6fI6GAQUCQDBgcZRRBQBAQBAQBQcBXCGjrJVIDQ6nyV4YaRG4hfTWGNBYEfkgE+HOCzws+N/j8gPTn6YfEIwAXLRaDAATzex+qfLmyvEvyx+99GTJ/QUAQEAS+GwSQQjcE7wMC181aGStR2SRFVRIHpIiGG6SQICAIfEYAzD9cleHSChdUfG7w+bGVivpzLznzDQIiGPgGrSDeVu9cHMSXKcsTBAQBQeCbQcCL0QlhxO6A0UG8FuJfPn0UweCbeVAykW8CgWAsSMN9CJYCfFYgILi5hRBrQQA+HREMAhBMGUoQEAQEAUFAEPANAl6CARid0EoTGoaZnQ8QCsRa4BsYpe0PhID6zLBwAEsBhAI3N684gx8IgkBdqggGgQqvDC4ICAKCgCAgCDhGQAsHwYN7MTpo/emTuHU6Rk1qf1QEdKAx3Ifw2cGfUMAhIIJBwGEpIwkCgoAgIAgIAn5CQDM4wYJp9yHJDeInIKXTD4OACASB86hFMAgcXGVUQUAQEAQEAUHA1wgIs+NryKSDICAIBCACopIIQDBlKEFAEBAEBAFBQBAQBAQBQeB7RUAEg+/1ycm8BQFBQBAQBAQBQUAQEAQEgQBEQASDAARThhIEBAFBQBAQBAQBQUAQEAS+VwREMPhen5zMWxAQBAQBQUAQEAQEAUFAEAhABEQwCEAwZShBQBAQBAQBQUAQEAQEAUHge0VABIPv9cnJvAUBQUAQEAQEAUFAEBAEBIEAREAEgwAEU4YSBAQBQUAQEAQEAUFAEBAEvlcERDD4Xp+czFsQEAQEAUFAEBAEBAFBQBAIQAQCbIOzuHHiUrx4cZxO7fHjJ3Tx0iX6+FG2e3cKljQQBAQBQUAQEAQEAUFAEBAEvhACASYYNKxfm96+eUNv3r2zO/WY0aKpustXr9GMWXPoNbcXEgQEAUFAEBAEBAFBQBAQBASBr49AgAkGYUOHpllzF9AltgbYo/69e9KipcvJI28eqle7Jk2dMUuEA3tgSbkgIAgIAoKAICAICAKCgCDwBRH44jEGnk+e0qQp0ylM2LBKOAjDAoWQICAICAKCgCAgCAgCgoAgIAh8XQS+uGCA5T57/swQDmrXrE7Bg3+VaXxd5OXugoAgIAgIAoKAICAICAKCwDeEwBfnyOPHjUNJkyalGDFj0I6duyhJooSUjK+FBAFBQBAQBAQBQUAQEAQEAUHg6yEQYDEGrizh7LkLVLxIIR9NI0eO5KNMCgQBQUAQEAQEAUFAEBAEBAFB4Msh8EUFg2mzZvtYWbs2LX2USYEgIAgIAoKAICAICAKCgCAgCHxZBAJFMAjHgcUVypfllQSzuZoTJ07SsRMnbNZJoSAgCAgCgoAgIAgIAoKAICAIfHkEAkUw+MCblz148ICCBbMtGLx49fLLrzQQ73j79h0aNWY0tWrRkuLEiR2Id5KhBQFBQBAQBAQBQUAQEAQEgcBBIFAEgze8cdm/+w/SJztzfvXqlZ2a76/Y0/MxtWzdiu7cuUNnz56l0SNHBbpw8MjTk65fu05hw4bh3abjUfjw4Qllnbt0ob59+lDMGDG+PyB5xo8fP6Zr165RxIiRKEGC+OTm5ubvdTx58oSePXtG8ePHtxjrHW/Ed/fuXaMsGm++F5YtXbbo1u3bRJ8+Udy4cW1V07179+jt27fqWUAYfvHiOf+9pJgxY6r2uMZ7gv7WGbggQIfmlL0RIkRQbXGvKJEjW8wF879y9arCI26cOBSZ6/WYNifEhXG4Hdb+8qWXEB4iRAiKwe+FPUxt4eTKPV6/fmWxVvN8Xr9+TecvXKAY0aNT7Ng+BeZHjx7R+/fvDZzMfW/evKnmGypUKHOxnAsCgoAgIAgIAoJAICIQKIJB5EiR6I/2bexOe9uu3bR+wya79d9rBYQDCAmBJRxA8Ojdty9duXLFAqJhQ4dRYs7udOrUKbX7tEVlAF+cOHmS4seLT1GiRA6wkV8w8zqSBapVq1dRuLDh6CVblMBEDxsyVAkI/rnRkGHDaMuWLbRuzRqD+cZ4l69cpnr1G1gMnSxZMsqbJw/Vr1fPgoGuVLmyajdn9mxKlDChRZ+nT59S+YoVVdnG9espXLhwtI6PixYtprlz5qhyXA8bPoI6tGtHFSpUsOjff8BAypAhA9WpXUuV414Q7grkz08f2fL2z/jxNJvH0bigUcfff6ePHz7Q0OHDLcYyXyxcsIBGjR5NO3bsMBdTZR6/WZMmZM1w28Jp/foNTu+xd+8ei7XiZrdu3aK+/frRsWPHjHvHjBGTGjZoQCVLljDKBg8dquY3dcpkck/hbpTjpHLVqjRuzBiFjUWFXAgCgoAgIAgIAoJAoCEQKILBY9ZUDhr29w9hMQCDDEFAWw0CSzi4ePEi1W/YkPLny88M8xCKFSuW0rYeOXqU0qdLp7TDgfaWmAYezPf+vUOHABUM3Hgfi+BuwWnGtGkE5lxbYSZMmkh9/vrLdHffnWIcCAVgqjfzsVxZxL1Y0oply3gtUej6jRt0+vR/NIwFiWvXr1PPHj0IWnYzbdiwgRrxMzDTpk2uC7hg5HPmzOWyRekkC3oQCvC8s2fPrgSF8+fPU5SoUSk6WzhKlSqlprL/wH7q1LkLbd640bBIaMa/YoWK1LZNa7aO3KPDR45Qv/79lEWpGjPemuzhVK5cOZfuocfBEdaNDiy4RI8eg8DwJ0+WnGCdWbd+HfUb0J/nHoVy5cxp7kJ9/9ePpkya5ANvi0ZyIQgIAoKAICAICAKBjkCg7GMA14jsv2SlnNmz2fyDm0hQIsQVQDjQ7hJaOEDsQUDR6LFjyd09JfXp/ZcSCjAuGNdsWbNSmDBhjNvABQPa6XbMvI/4+2/CtaYPrGVev2Ej9evXn9q1a08TJk6kG8wQa1q9Zi3t3LWTVqxYQX907kzduvegTZs3q2q4yowdN44goExlBh5jHDh4UNXBdWwpM9hoP3DQIHYjO6CHZCvGaZozdy5dYJeSv3r3ptZt2xJcTMyE+Xfq2FEJBSiHsFW4UGE6c+aMuZmvzzdu3EAJEySgevXq0pKlS+32h3sPLAHFixVly8XfSpjYum2bRfuiRYvScsYFGJppMY9brGgxc5HN81+yZlPrGzRkMHsl2XOys+wKrCHUQCgAYZ4pU6ZUjD3OwfzjL4SblwATMmRIo8w8EtriHS1ZojhlyZKFNfnHzdVkDyff3EMPuHDhIt7A8Dn1ZoEOVgCMge+DsmXKUo3q1Vkw6a+bqiOENaxz7rx5FuVyIQgEJQTwm3D58mWbf/o7+I9OnWnR4sV2lw0BG9+z1t+fdjvYqIAV8iq7Je7Zu5f+++8/Vi5Zfp/Z6OKwaBZnGuzxZ0+HbfxbOXvOPKpVpy6VLF2GNm7y+j2yNyas6fv5dwm/Sf4hKFGqVqthjIPfscOHD/tnyB+mL95PYGf9OwMA8Dl4/PjJD4OFXqizz7ZuFxjHLsyXzZk331dDB4pgAA1wdPYrjhbN9l94ZnaCGgWmcACmfP/+/VSV3UDAaDmi9qytjRDhJ/LIm5eOHT9BTZo1s2BmN23aSMmTJ6NixYsTskPBNUnTyVN83buv+vLNmSMHvXv/jnr26sUM8XLFzCaIn0A1TZ0qlWIwEcsAJnfg4MGK+c+QIR37hcek9h3a0759+1TbW7dvqbq27dsrwSm/h4eFIKPvbX28dv0apWIm2K+EeeFHtEyZMlSoYEHFfJ47f87pcFhbhvQZ6CS7TJmpQP58bMnwpAMHPgs9EFzwQ1Sw4K/mpjbPP3z6SN27dlXPcR276LhCEALgVjV9xkyldXelj6M2YAoQmxItWlSjmV9xMgawOjlz7izlypHTpkWpSOHCCsOHDx8avWLGjKVcrOAydZXjS4QEgaCIQM3adalMufI2/zp36aaE6bXr1lHsWD5jcTQeO3lD0D979qKnbJXzLYFRHvfPeMr4c2YqxUJ6k6bN2F2vGpViZhu/L34lfJchxi2wCN99UHCVKlmS2rRqRTmy/+LjVmBEgUsej3xUumw5atCgIWX9JTuBGcN3nl8IWL95+0YpNdAf469dt94vQ/1wfY4cOUqnTp+iRIkSWawdv5WFWYl21oXfYYuO39kF3hPzewdFmbPPdmAtEZ+NVStXUizeUNg35KVq9E0PF9q+5ODiWSzl/2gE4aAbM3+tWrdWS4d0jGxF/UzMt18wuc3jgBJyHIEzas6CADSzoLRp0lA99uu+zq4xiRMnVn7zg1mjrylJ4kSq/t79+xYBywPY5SM8+8qXZ1cS+MBPmzZDaXwLFy5EAwYNpBwsNGRIn14N8x8zx+vZh97sJ+7p+YgWL1mi2qERGOoB7MKSN09efWuHR8QxYEz4mPuV4IYDl6DChQopIRUa+zVsEXFvY+nLbmv8lCndlVBlrgsf/icqWbwErV671ljXmrXrVJkOHDa3tz5HkK27uzvVrlVLuStl/yUbRWWXIEeUJnVqascWluEjRtDCRQsJ7j9lSpe2iJVw1B91t1kwg5CGd2gXx/bcu3+PypYtY3TzD07GIKaT06dPU9UqVUwln0/h/ga6xJpTBHuDYIGByxI0gQP4XRszepRT4Vd1lP8Ege8IgTWrViglCt737OxO2L1bN3Zt9PocurHFbyd/NkGZM/9sd1UerFTZtGG9xXe13camCiT7qFmrDj3heKi/2Z0xd+5ciuGFIP6Y3S2126Gpi0unYDqOHT/GFtk6LrX3bSMwV9OmTWf3zQZUpXIlm92RNKFp8xbKijJ08CDKmDEjW9JD8vfJJhYMOlG2bNmo0m9eMWA2B7BTeODAQfZ6+CyEjBs7Wrmc2mkuxSYE9rPyLHny5JwkI5KplKhP334siJam7PxMgirBWjVo0GDlfaDXePCgl6XJ0Wdbtw3oI4Q0UJbMWXw1dKAIBr6aQRBqDNeh/3HQpSZkhkEKU/9SWG9XIVeyOWXKmMm4HT6cIE/O9pNYnZEyIx86dIiQ/ebpk6eq9DEz7jqTUbr06ZRQ4N2cf6gyq6Bg/AjYogvnL6ji1avX0Gpao84vXLioXIfM7XPxj6ErdP36DWrfvgPVq1vPZuApNNyrVq02hnJ3T6Hca4wC7xO0QcDrce/9MqIyI4o5NuXAW7PrlXU/XOMekSNG9FFVnF1xWrLW6ne2fsA9Zi0LCYNYUPIN1aldW7lngdnvw65Vzug3Dmwu+GtBWrlqlXK3gcvNSO6bNGlSZ11V/dGjx+guZ01CBiAIaPPZrcucock/ONmbgD33hFd23iFYwTr98QfVqFWTli1fznuglLc3tJQLAt8lApr5xucRBIssvkM0HTp0kBU5afk7ZR1t276dnr94wVbfPPw9WFc3UZrzn3/OpFxJX7AWchV/nx1i95Z79+6rJA01a9Tg70Kfio/uPXoqoWDRgvkWzBrcJ83JFDZu3KRcjK6xVTFjxgysYKpmCPCYxHn+Xofr0KXLl1Q/HStkZjrgPrKeY7HOnj1H6dKlpbp166gsa8YiTCewYixeuoyO8Bqe8Xpz58yhlFr4Pjh06LBSLj14+EBZaZHQoFfPP029vU679/hTCQVTJ0+2WBvcQvHdhu98LRgM4SQdsB7DTWj37j0sNGTl34PGKj5vytRpbCU+xckjwlLdOnUsBB6saT4nc+j3v77qphjHI58HW38P0DGO8XNjF85aNapT7lyff+P27ftXfc9DORU8WHCqVAnf416WZYy3nZNCQDm0aPESVt7coaxZs6j7mplpxLwhcQXcmEKGDkWV+bfg118LqDkAYyh67t9/wIqq7Cp5hU4Pj/Vt375D/faFZt7hF3Y3rl+vrhdgpv/xPQ3l1t5/99Ed5geQPa5B/frGO+TKPDHGvPnzae/efeo5lCldisCMmoUq3HLFytVqPhuGfFZMOnrfcG+48xYtUpimTZ+pXKKHDR3sI4Md3POWLV/B/MZFZV3Px54SNWvWZOHQK6Oho2cFhegQTnDSonkzC+vGQk4cAne739nzwZqg7F2+YiUd4cQakSJEpCJFChnPFf3GT5ioPC1grUrEytgWzZryu+z8sw3+Cu8CeLPgwd2oRIlixriwOPTp05fatG1DM9mCdur0aWrIwjLWak1bt+3g75A16jsBggiEa2shzRHuGA/vVHDrgf16/Y41okULFqCa/GXimz8wYB+47/dO+HDrAGSsBULBqL9Huhxo6mj9SDMJX/Mr/CFwRpEi+WRodR9oUarzh+bK1WuUJElSysJfGNYEP3UzIcgVBE2XLXr6zEu4SMC+/PoPrjUtWjQ3miO4116aTKMRnwDD1m3aUHF2c2pQv565yjgH044fTv135cpVo06fvOAfGWQ4ChMmNH+pTFd/5y+cV18cu3Z7aeZ0W1tHWEHSe1tEzPUZOXsQhI3NHHexfcdOisyxECjzDUEo6d61G23ZulVl5AkePJjT7oi5qM1M8/y5c5Sr1uw5c5320Q2AJYK6p02ZooqgzdHkX5z0OOZjksRJlB+1uUyfX+P3DoSUq9aUmK1XjRs1pqEc/I0vXyFBICgicODgAU4cEJ0SJkxgsbx/2VUU7hf4XsvBrniR+TsTsWL//vuvagfmYPqMGRQ6VGjlVtiUFU5wWQADVqpUCU5L/Ipsffef4Ux2GzjWqi/HppmZTvPNwdz17vs/ghvqx4+fOEFCDlrKDHuvv3obzXYxI12BGdOPHz9QxQrlOUXxC+rE6bHNTAeYv4aNm6gUyQULFeRYtZU0cOBnRtAYjE+grKrLWeHGcuwcFBXurMQaNHgIzZg5SzWDG8+jR54Kq2Ic35U7d25zd3UO5g14dWBFja21xY0bx3Bz0vi1Y6XTYWbm8+bJTbmYkUfKasQugBEtUbwY/y4m4XnVV+NrgQe/m5cuef326nFatGhFx48fV8LAY55n02bNlTuYnuTSZcvVM8SYH9mNtC3H9OnU0RhvIidbgAsZ+IRMmTLSZP5+njJ1qu6u3GCrVKumUngDywSclhweCWD0kKxhwIBBKp0zmD98Zy5Z4hVDB8awDivVQnLsWSV+XmnYNRaxKbboDaeaXrpsKaViSzYwBsPZs9dfRlNn88R7A5e0adNnqHcmf34PzkbXn4XVQ0ro0gMhpmAQW3M6d/pDCYmuvG+4N+JtmjPO8eLF5fkV8SEUYPzNm7cogaQIezPg2SHBh3ZjdvasIvz0k3LxgRCrCe9U7z59lFCry/QRAtpvlasoYS0HWz0+eT/X4+ySDYIwcvfuHRYWiqjPJYQ9kLPPNqxeDRs1UTGMmTJlUmno8b5A6AHB4gBXpAb1G/KzfE8FCxSgDJxwxppGjhrN/FNrxYeVLlVSCVZ4r7SQ5gruWEvlKlUpwCwGc+YvoiSJnbu6WC/m5q2bdPo//wWZWo/5pa8DUyjAWqAJwJfHXJbMC7OftiuuK7YwGDt2HPtqlqL27dqqav0BMrfFywjmW2sfkNYTzDD8SLXVAG4xmuAeA0IQtLVPoW7jyhFf0M1btFBmbmTR0fe37gtt0lAO4HVE0DRAkJrODLHW1KF9H/7xW8H+dtAa2aNt27eptK9NmEm1Jtwbbi/LVqygSLzXAtx6UOZbgjYO2YIGcbYhMNKuEtyZfuYvjgsXvaw0rvZDO8T8wM1s3Lh/KB+7JMCVxz842bs3fnD/HjVKaajM7wN+0BawO1TixInVj6Gt/tWrVeXsUZtp8JCh6vnZaiNlgsD3jMCBg4c4mcBnFxWsBQwM4pUqlK9Af/Xy0ooXZU3kJs4y9t5bIWN2RwCTepSZ2wXz5xFiokCwLNoipE2OFzee0irbqkcZYrEWLlxIa1mZoq2JUOb04gQC+Ny+4nTSYKgrV6pMPbp3VcPAWoDEFJrpgP94t+7daDBbUMFkgmClRCY3W9S//wBCqudtnC1Oa3cfPHhA27ZtZ815bZW5bMaMWZSHv08qVqxgawiOXZun1pY7l2WWM934Oife0JZfjV8tVrCYteeNWJCBS+eUyRON7/INnKAjLFsOtLABxg4WHpAepy0rsGpUr6rKUvEzaMSW6BCmfXcGDuin6vAf9rPZy8HeWumG8aKzcLhu7WrDaoTvYvzugmCxQUyDGUtVwf8tZq0yrBfrWSus99XZy66i586fV02W8bPMlz8/tWQtuDMKz4zx1MmTjGa32WpwkN9PTc7mCUEGGfE2csY5nXjl4sVLytKjhSqMNXzE34ppr1C+nBra2fuG31TcO0yYsKwMm21htdJz00dozjXBRQ7vsVZCOntW2LcIz+EGvyeaIHTl5pTl+h3W5WCqW7ZqzVr8gsZnFJ+Nw2wd2bFzJ7tWp+PkIl4eGvXZSqY/R658tuGu/eLlC1rI/B0+C7gXEp3ACgJhBxYHUL//9VEeHHpO5iOsRBA2Bw0caLgxhQkbhoXProaQ5gx3jNe+w+8qZjLABANoJvD3o5FOram1nAFpKTBjidz1SFcKE1W1qlUoDccPQIt/8eJFNkP61Pyb++rzGByA4vnYU22OdY1ddhDYZU0w2UJrgw/x9evXafz4CRzAW1o1g7YbPxg7d+1SMQa4f5rUqZTgMGLkSKrF1gj8UMGv/cnTZ4qJtR7f1jVMVy05LgNfLshSoyVltI3NGhXEO/iGlrG2Bn70ZqEA/ZFDH/Ef5kxNcKmCxH6HBROYfxcvWawEpyxZMtu8JQJoJ0ycoOp69Ohus40rhU0aN2KrwRb+Yjls9/ntZusGMk/hywFuB9DorGTBBuZ5v1Cl335TrjpjOLvUn927kys4YQM93xCCvReypgeb7TXkIMD0/IWJz8ZaNoljPSNYo2NPmMIPZzfuh/dcSBAIagjgBx8MYq8/LV1iNAPTuEkjY8me3plb4nt//rQ7AvZJQawOGJradeopJhcuPxHZ8m6Lzp47p9xUbNWhDMworKqVKlUymBmUw9oKwmd1HTPK2MiwYQMvTTrKddYfuOOAZs6ao474DsUfCMktbAUmq+8D1oAOGjDAEArQHieXVtMAAEAASURBVN/XYZghBwEruEl179pFXdv6D8zQL+yOY0uJBC31bv6d6ubdH/hBQKpn+u4EA76PLTIDOVOa+TsJa8vPySZAmrFD4DMI4wD73yp+dne8xEJRJN67SW+Qibmf5oxPaHuVraR4BgnZbQvfb3o8uE5qVzI8A/wGJfKOIZwxc6ZyK7NmTtFuOtfF4gD1CRM/M/RIYa1j/qB0gpsqBJ6GjRo69OeHazLSnUMYePDgAbuR7VNKI6zT2TyVoocz0EEg1UIB+iGQ3WxFQianJUuX0HLO3ofn5Mr7pu/dt3dvh0IB7geB9CC73/z331m1BpSlSOHFoLvyrBInScz8wC10UxY4vA/r1q1V1+b/IODCrQ2uZ5rwzkAYDO/9zur7aaEA7Zx9tqEQXb1mDVso0rEl6H9qaG/5kMKF9+J7ICSBL4Jbtz2CAgDvGFyvNL1+/UadQkhzBXe4p8Hi0apli4BzJdKT+ZGPgSUUAFNoHUawyTAOm0ehaS7LftgVmNGDdhVfZLa+HPWzCEbB1Cm04EcOH6EixYrzl0Yj8vDI66V18KpWbRCku3vPbipWooTSgkBjA798TY253wLWWORjcxYCjMOH/4nGcID1ezZxgekuxGa0WnXqEr6sQI7mpcfEFzwEkuMnjlMd3lysdt26xt8JNtf6hhDY+t+Z/1hqLuajWyYOTIOWZcPGTUZd02bNeL511EZiHz68p8EscUObb016HTDnAiNozHRchm6r2+hr89GN/QbNhB9MZCkCWffj709FEGBg3scGaiV4z4KerEWqzEF4VTg7lZms+1vWfb7CDy+CmRHYDTcE3+Dk6B6f7wCGIozakwCZnQYwlph7M7YEQYCd8M94ZVkyt7ceF5mYIGAq0kCYO8i5IPCdIqAznSEg1kxgKBBfEI+VIJqQChrMpra6gTkAEwyCJnspKzBq1azB7ifTqGDhosonWvc1H8FwYhx7BNcJ7DZvvcfL0aPHjE0H4c6Ug1Mm47tPk9ZQa80w9ovJnSu3Yk7AoOAPihi4B1qTDrQuyu4hZsLvQBLvTDZgrCGM/GIKADa3xTk03FBU2SJozkEl+XcMBPyKMNNk/r5BGagYxyNoQsY0MIBa4NGMnQ4cRZ/S7EevmXr0w7PC2kEQegoXKarSecMVKjMzZSoOILulxUFrz9HnAmvZ8ZxgdQfBPQauM9aEtLZQmiFDnsYYR2zIWZxdlkCwhkz45x/lctKwYSOVPMR6HFzDNeyXHDlpBseMQGDJyr9pYAq1+4tet7154p1Be6001PeAW462IsGFqVfvPmpjy6RJk6gmrrxv+t6F2CXZHmHsxuzG1LBxUxWDAQUl3NyAB6zjIGfPCm2Sskv19RvXlZsX4kOxCan5c4g2ILiswZJg/gzgucLjBfcE/csB6zmsrFfOPtt4DiAkSdHPFAIifqfTpU1rCGiFChdS7ez9B6tFWVbKmQVcpIjXQporuG/duk2tEd8XAWYxsDfhoF4O/+8x7DoxkneZRaCx+cUJ6LXjIUPTC+kPgaShOSAJjDkI7kW7+eUwE14Scxm04OtZGsYGdBG5PbTR5o2u0Dcqu5gM7z5MbVSFLz9rrTvcZ6DJQHAcdrgGwWd81Mi/lbbgxYuXrL2KYJjz4LbjyHUH/SHlmiVdlPmVkrJ23bxm8zjAA+Y6Tfba6Xp9tG43fPgwXaWO2GDO3AaChVm4sL7WnXOwedrcD+Xma+xS/BsLf4/ZHxfPyp5WEPscmPvp8ft7ayD0NY4QaHRbBOjZImuc0MbePWytDe9ily6d1R9+8CAEYf7WZGt+aANB1CyMWveTa0Hge0TAUXyBdlXR6zIzm1qDqrXWaAPhoHWrlur7+1dmKsDIayFCj4Hj2zdvVbAtfjPMTLFu8/DhI3UalX/HNEHbjoBOuMuAbt0CA/65HmUTJ/Lmhfx7pN1t8HuQNm0aCzcdtLNFD1g7HZ217mYmBsGrYHqRWQh0kJltaMYd/Z6CgUE8mDXBT3oMu0wCH3wXafxasibUTFC8wF3FPA9tRdcCj2bsYKnR45ifA3A9wMIC3F9Bbdt1oMRJEtNktipjXGjMzQy3eTzVgf+zFgKBZQQbFqBXr16rLmASHWX2QYwI/gZydhxke+vSuZO+lToivqNZ8+Zqs05gBELQLCibt1+8s3liHwwQYl40bWf+AynBmzdvqoqmckYpvH9mLbsr75u+N1yd7NGo0WN4Q9LTtJSt0zFiRFeC1XBOa1uUhTKQK88K7RDrg8/lP+wZEYtTZ9euXQvFPug+v7PwXjAT9mfCO5iP0+TiPTjElpfOf3Q0N1HCiaPPtk4og2yF2qXOPABiRkBZf/7ZXGxxDsUwfmfNvBr4w1mzZxsZKl3B/Tm7DGpBO7jFHeTCTwjAlIaUpI6+xPw0sJ1O+IKHX2R4b6HATjObxfiyispaFluMmrkDvlDNL5q5DuUYw/yFinqU4wdE+/iZ+8i53xBQz4uftT2hwG+jfrleSvtgQyj4cjOQOwkC3wYCjuILfjFZETSzmS2bV/Ci1qBCaw2N7M6duwgMBXz0saM4yDpuQa+4bt3aak+WARwEjABbaMTBOCPrD0hrcmfNnqM2nkKAZQPWNCPVtU4RGpl3K0fGHmg3cf//cYApAqW1Zhjj4LcPCRUwNwTZgmFH1hxbBIECWnm4UGCndDA/rdu2U5rvFClSqC7I+JOTs+04ImT5gWsWhABYqLFhGwJhMX9o1Rtyqm6Qxs+aucJ+LrBKzJ+/QCW+mMaMLDbvNAs80DprS40eR1sPMLa1tv/iJa+MTYjLwLq6duuBZgbDbR5PVfB/ZiEQZfjORPA33GTA4GnmUAeXz5k9V7lt4/n/y8kktHAEH3JYFeDmgwxSu/fsUTjo++jjA87GAwJTDCEBcQujx4xRGmuztl2vW/czzxP8B2gRew3ASoLA8z59/qfKIFTBDXkUK0t79OhmYV1x5X2zhZEa2PQfxkdSFihH8V534oQeYI6tLR6OnhWGgxAHgRTPvfdfvXzwNPqW7vxebmJPA2SKwjPBezaJM2ENYCsDGHq4UOFdwvsMVzL8aeHE0Wc7FnuCgID/Pc4e+IAFELj06E3gXBGSYPGBgLuN43Pw3CG0/d7RSxjUli9XcEc8DtYIJYMIBvrJy1EQEAQEAUFAEAgEBMCsgYnV7iL6Fke984ybGZjLl69YuJYc4TgkuBpBa336v9PUvGVL5QaSO68Hp4pcQP+MG2vh563HxrEyxw5gX5vNW7ZSTU6VnJ+DJ8E4g+kEQUPYmePWZs+ZQ3nz5aOq3BbM1ahRfxsazGaNG6sUjNAy/+btxghtvmY6MM7A/v1UzBvmhn0aEP+ANMm2qED+/MrtAYGRuXhvmx5/9lDWiTatvfz4gRXiC7LyLu2OqDX7/cOtEgx9hd8qqQ3bELTZu1dPDsIcYFhINH7WGujSpUorXPsyc1eEXU/3cBAv3EW0wAMBB0HhmrHT4+A5aDrM/u1g5LW1phS7T6k9fHLnYV//4ZysoqzBcFuPp8eAxUELgSjr16+vinnDZm0e+QtwithZqiliS/r0/ktlQ6rE2XHw/LtB8GBtNTAbP34iFefkItjEDhmkEHvY1htTfS8c4QOPgGnsWO2RL7+yKlSsUIHdxXKoZq7MMyUnHcE+Rwj2xaZl4yeMV/EJWqj6HwfUwp3XnMIVgzt73/S9s3hbLtSEbPyXn99VuMoAgxb8HhTghBogbfFw5VmhfSLOpgjCZwQWL3vUoEF9FhiTETJF4ZngPYPLFlytQdiLBHECyIr0M7+391n4cuWzjb2hqvOYyDRYsHARKlCwEE2dOl1lJsK4iP+wFtBQbiYoD2GpQDYoPPc2bdurZDVooy1fznBH2w7t21EyToMO1+pgKdJl9gqFR00QpSVzZ7DJM7IKDoI225ZJNYgu3VfLghnww4ePRqYLX3WWxoKAICAIfEUETp06qVJQfsUpfJFbw3UAWkswpDrg1ZUbwyc6RMgQnFEtog/NKBjLR5xFCNnK7P0+QpuJe0JDaY+gxf7AY9m6h3UfrAPuMdodybre1WtYWODqEYV/4x3Nzd540M6GChVSCV722vimHHtMvGONsX/XBW0+glthvbcmPAu4+lrXoZzhYD97+89Rj4V3CDFhvnmHdF99hOXqDbsL+Xatrrxv+h72jtDS432D9cLae8FeH+tyuFDNmzef1qxe6RIOsAiAhzQLh+YxgT/q7NWb25rPgQf6wjMAz8QvBCsFniksYfbwcAV3CGciGPjlCUgfQUAQEAQEgW8KgR9FMPimQJfJCALfKQKIa2nctClNHD/eYTrf73R5/pq2z4hAfw0nnQUBQUAQEAQEAUFAEBAEBIFvDwFsBIaU63ATQ+pg7BwtZImACAaWeMiVICAICAKCgCAgCAgCgkAQRABxD6lTpybs+WCdcjwILtdPSxLBwE+wSSdBQBAQBAQBQUAQEAQEge8JAaRtF3KMgGQlcoyP1AoCgoAgIAgIAoKAICAICAI/BAIiGPwQj1kWKQgIAoKAICAICAKCgCAgCDhGQAQDx/hIrSAgCAgCgoAgIAgIAoKAIPBDICCCwQ/xmGWRgoAgIAgIAoKAICAICAKCgGMERDBwjI/UCgKCgCAgCAgCgoAgIAgIAj8EAiIY/BCPWRYpCAgCgoAgIAgIAoKAICAIOEZABAPH+EitICAICAKCgCAgCAgCgoAg8EMgIILBD/GYZZGCgCAgCAgCgoAgIAgIAoKAYwREMHCMj9QKAoKAICAICAKCgCAgCAgCPwQCIhj8EI9ZFikICAKCgCAgCAgCgoAgIAg4RkAEA8f4SK0gIAgIAoKAICAICAKCgCDwQyAggsEP8ZhlkYKAICAICAKCgCAgCAgCgoBjBEQwcIyP1AoCgoAgIAgIAoKAICAICAI/BAIiGPwQj1kWKQgIAoKAICAICAKCgCAgCDhGQAQDx/hIrSAgCAgCgoAgIAgIAoKAIPBDICCCwQ/xmGWRgoAgIAgIAoKAICAICAKCgGMERDBwjI/UCgKCgCAgCAgCgoAgIAgIAj8EAiIY/BCPWRYpCAgCgoAgIAgIAoKAICAIOEZABAPH+EitICAICAKCgCAgCAgCgoAg8EMgIIJBADzm27fvUNfu3QlHIUFAEBAEBAFBQBAQBAQBQeB7RCDE9zjpb2nOnp6PqWXrVnTnzh06e/YsjR45iuLEiR2oU3zk6UnXr12nsGHDULx48Sh8+PCEss5dulDfPn0oZowYgXr/wBz8w4cPdOPmTXpw/wHFjh1Lrc8/93vy5Ak9e/aM4sePbzHMu3fv6O7du4xhWIoWLZpFHS4+fvxIt27dotChw1CMGNFV/dNnT+ntm7cUPbrXte706dMn1TYG4x4qVChdTPd5DTdu3uDnE44SJkhIYcKEUXWPHj2ily9fGu1wEixYMGOtt27fJuIx48aNa9FGX9y7d4/evn2r2qOfXouu18dIkSJRhAgR6MWL54T3FOMFD26pC3jw4AGvMbSaG/CwR1GiRqXw4cKpanvrstfX3jNAe6wV42KuZsL67t+/b2Ci14A2wd3cKFbMmOTGRyFBQBAQBAQBQUAQCDgERDAIOCyVcAAhIbCEAwgevfv2pStXrljMetjQYZQ4UUI6deoUM65vLOoC+uLEyZMUP158ihIlckAPTZs2b6aBAwfRy1cvKXHixJQta1Zq26aNv+4zZNgw2rJlC61bs0YxyXqwy1cuU736DXgdUWj50qU+mMz9+/dTh44dKXWq1DRp4gTVbfbsOfTfmTM0csQIPYw6vnz1iipXrUrjxo6lDOnT09OnT6nnX38RxggXNpxaDxpOnTKZ3FO40+ChQ2nHjh0WY+Bi5/btinGvVLmyqpszezYlSpjQoh3GLl+xoirbuH49hWOmWq/FoiFfNG7UmOrUrkXruN2w4SOoQ7t2VKFCBYtm/QcMpAwZMlDuXDmpTr16FnXmiz+796CcOXM4XJe5vfnc3jNAG6w1ZoyYNGvWTEPwQPn58xeocdMmBiZ6DajTlDFjRipTujQVK1pUF8lREBAEBAFBQBAQBPyBgAgG/gAPXcEgQxDQVgNYDgJDOLh48SLVb9iQ8ufLT8OGDKFYsWLR+/fv6cjRo5Q+XTqCVvZL0GC+9+8dOgS4YHDg4EHq2asX/dHxdypUsCBr2X/y93KgJYdQAOZ8Mx/LlS3rY0xPtrQcPHSYsv+SzaJu5arVFte+uVi2fAUztudp/ty5ylIB7feRo8coaZKkxjCYS5vWrY1raP6ttfkbNmygRvzMzbRp0ybzpcX5ogUL2foR1SgLEcLy4z10+HBm7nPZtGglS5aMtrJgBoI1oyQz3CO4fUYWGkAYaxYLRs7WpRqb/nPlGdy7f48mTJhA7dq2NfX0eZowQQKaO2eOspZcvnyZdu/ZS31YUIawVLlSJZ8dpEQQEAQEAUFAEBAEfIWAJefgq67SWCMA16HAFg5Gszba3T0l9en9l8FAglmDVh2kBYOb7IazYOEiun7jutI2V/rtN8MdA246mzZvoUPMhMNNI3Wa1FSieHHDzWb1mrUUMeJP5PnIk3bt2UMhQ4SkAgXyK0YdzO2kyZMJAsrUadMoRrToVLhIYXX/N2ylWLN2LR08eIj7R6D8+QsYjPapU6fp2PFj9Eu2bDSbmbqH7EYzaMAAw61GYzh+/ATFuJct45N51218e9y4cQO78CSg0szkLmGrgC3BoChrm9etW2vMF/eAq8+27dtYE12Mrl696tvbMvN8jn7OlMnAFe5F1oKHm1sIC7cj65tgXstXrKD6rMU3u8ws5nVgXuvWr7PuwuOFtDvmL1mz0UNPxn7IYCVYQhAxE661GxRck0ChQoYyynDtyrrQzkyuPIOqVarQvPnzqSALhLC4OCPMM2XKlOovcqSIBIEnn4eHEpad9ZV6QUAQEAQEAUFAELCPgKXDsf12UuMEAS0cxI7tFV+gLQcBEZAMphxuKVXZ7cJaq2w9rfa//84uMz+RR968zJCfoCbNmhEEAk2bNm2k5MmTUTEWCE6cOKlck3TdyVN83bsvbdy0mXLmyEHv3r9TWvzlK5azy/snShA/gWqaOlUqypIli4plQPnAwYNpDmvHM2RIx/74Mal9h/a0b98+1fbW7Vuqrm379hwzEJvyMwOnfe31feG7/9+Z/6hQoUJ0/Phx2rJ1K129dk1X++mIeS1dtozKlCmjBBsINOeYYbemooUL04aNGwlz0LSRMcqQPgMlSZJYF/nqmCZNGrWGPSxc+ZUK5M/HcQGedODAAWOIM+zGBDeyggV/NcpcPfnw6SN179pVvUfr1m9wtZtFO9+uy9Vn4JHXgzz4vejfvz9ByPQNFef3GIT3R0gQEAQEAUFAEBAE/IeAWAz8h59FbwgH3Zj5auXtIgLhYNSY0dSP3R38Q7d5HFBCjiNwRs1ZEKhRvbpqlpYZ1HoNGtD169cpMfvsQ/M8eNAgY4gkiROp+ntsPTAHLA8Y0F/5e5cvV47ggz5t2gyCJr9w4UI0YNBAysFCg9bswud+Pfuwa/95DO7JmunFS5aodl7XnjSgfz/KmyevcW/zCXACDWHfe1DYMGEVo1ezRg1q1rSpKvPtfyc53uIar7swCxsIFobGfA1bRNzbuFsMlYk1+/Bx37Jlq7IogJldtmw51axZiy0HDy3aunpRkf34L1+6TB07dSK46NSqWZMK5M+v3HH0GIuXLKadO3fqS8qUKSP1/PNP4xquVCWLl6DVbIkB3qA1a9epMgQU2yLECMDKo6l/v/9RKhbiQHA7c3d3p9q1atEwjruABSMqBxT7hlxZl3k8V5/Bh48fVPxDteo1aMbMmT7cp8xjWp8jeBxWoTNnzio3O+t6uRYEBAFBQBAQBAQB1xEQwcB1rJy2hHXgf/36Ge3ixIlDrVq0NK79ehLWO5vNKw5ydUaZMmYymiRPnlydez5+TIm9S+Eac+jQIZUN5ukTLy35Y9ZMa8EgXfp0FkGgmTNnplWrV9Hr16+Ncc0nFzhIFLR69RpaTWvU+YULF+nCBa9yVcD/5WLfdnv06qXX2IUKFqJ6deuoZjuYae7CQlbpUqUMlxxUgHFfZfL/d3dPoVxKrMdGGzD8x0+cUFVROfMQ5ti0SRMLiwUsMLAqLF+xUgkGmpnNzxr7JSzc+IXg6tK1axeqXr0auzAto14ciLxkyVIWygbSTz95xU5ASKpSxSvIGPeIaIPZL16iOLVs1Yp+Z2sLMgetZSFhEI9hjzpwu8iRPweFJ0hgmYkJ/erUrq2CvIdzAHWf3r3tDWWz3JV1mTu6+gzQB8JbW44x6McCZL58HuZhXDpHZi4hQUAQEAQEAUFAEPAfAsH91116awQgFOgAZJRBKBj190ibgZ66j6tHpMFEAO0VDrh0RpHY59oebeTA1eqsvb5y9Rq7ySSlLN7xCeb2IUN+1jijPLp3Kk+zO5K5vXbBScBaW/0HV5cWLZobzZD5x+wnb1R4n+g5ly1bxqjKlTOnOj9vJWBAMNjG2Xv035UrPmMAXrx4oYSZMGFC07Tp09Xf+QvnVXagXbt3G/fQJ0U5VuLcubMqfmINZy8qVbKUhXCk24UKFZoePvRpRXjjLTSFssIOVpr27drSnFmzWEA5ruasx4rJ6TYRh6D/YFmwJgT+QrjZzEHB23fspMgc6K6Dga3b4hpWHD0ejrYCuOHG1b1rN+XqhMxIwYMHszWUwzJH69IdffsM0K9E8WLKstN/wCD6yK5PrhDSmMIylCZ1GleaSxtBQBAQBAQBQUAQcICAWAwcgONqVWAKBZgDAkPhajKXAzQLs0+8PVcSZ/MdO3acYnrBrIJ0HIC5H7K9gPnWwalIhQnmFBpZbTWAW4omuKeAEASdKFEiXeyrIzIsgeA/H5WFCBDcm0DWewZAwz+UA2gd0dZt25QgNZ2DpHVALdr36fs/WrFypYo5MPdHfn/ETCBoG9aRf8aNM1cb5/F5zwjMEfEP5jSi8P0HgWG2RcAFdQ8fPrJVbbcMay3H7lzLOAg5UsRIKjWnsxgTu4OZKjJmzEAVK1TkQOQhlCRxElON704drcu3zwB3xjvX8Y+OKoXpgoULXZrMxEmTVbuUKS1dxFzqLI0EAUFAEBAEBAFBwAIBsRhYwOH7C/MGZ+gdkJYC82w6clAxXIn+6NRZ5cDHxlTYkAoBrghOdoVixIxBno891YZXiA2YPmOmj27Y1GvGzFlqU7DTp0/T+PET6NdfC6h20DZD+79z1y7ls45A0TSpUynBYcTIkXT4yBE1x0uXLqo0qj4Gt1MAP/EqlavQUPZ9B+N948YNmjx5imLuU3i7Q9nparMYMQKwPpiFAjQsWbKEcqNC5iZrKlmipBIK4K+eLm1a62p1nTt3LrX+IUOGsvZ/m9rADMJVP86yBCuDDqpGsDayMeHdwGZgiCfAurKy8KEJWaQusRCm/1Bvi4qwIIjA6cNHDhMyFTkiCCx6PBx1pipbfZo0bqSKMa6r5Mq69Fh+eQboG5ctbRBckWbWml6/fqPejXPnzin827VrTwsXLVKCnHbRsu4j14KAICAICAKCgCDgOgJiMXAdK6ctA0sowI3hejKCGec58+YpTS8y1qhy1ubPmD7N0PCrQqv/glEwVdKkUWO1O3KRYl6ZXFq2aEEPHj5gVe3nDgjS3b1nN03w3tQLjCn88jU1btSIBnIA84IFC6hF8+ZUvVo1GsMB1v37DzCCrtEWOfrhzqItD7q/vWPjRg3pxfPnVIODY0Fwrfln3FiD2bbXz7ocDDEy1HTp3Mm6ijLxhliwDmzYuIly5/ZyVdLz88ibR7VHvIEuwzG422fZGcznyBHDafCQYdSNN/wCwZpStEgRQtC3pv37D9KgwUP0pbpn715/Udq0n91dNm3exL7+m4w2ONEbnOFczwEB7XgmIUKG4HtZ7mit26A9SAe9e10RNWnchIONa6pLt+BuulgdYQFCliJs4mY9DheoNt4Ho58r60JjV5+Bjiexvn/5cuVp/YaNasM+4+Z8gv0OqvD7BsLmZhDgWrZsod4VVSj/CQKCgCAgCAgCgoC/EAiWIl3mT/4a4TvovGTuDBWUCc00fN2tGRH/LgFZdUaOHq0CjcHIBTbB1QeCQejQoWz6kTu6/8ePH+kxa6sR7Gq9ARbSjr5985Z6dO+mLAYIeLXWumNsWCiesx9/5EiRLNKnovzFi5dqLwNHMQWO5ocxkEf/Ww8mxTxfv3nNONqO6UA9Nt7CzsT4CyoUVNcVVJ7Pj7yOU5xuOVcu+0kOfmRsZO2CgCAgCLiKgFgMXEXKQTvk5/dvSlIHw/uogmDj21STehD4qGs/fl1m6+gojgHCQlT+syaU2xIkrNs5ug6IMRyNH1B1zuaJeuv4iIC699ccJ6iu62tiKvcWBAQBQUAQEAS+FQQ++0l8KzOSeQgCgoAgIAgIAoKAICAICAKCwBdHQCwGXxzyb/eG5cuV5V2SXUsT+e2uQmYmCAgCgoAgIAgIAoKAIOAXBEQw8AtqQbSPewpJ+RhEH60sSxAQBAQBQUAQEAQEAacIiCuRU4ikgSAgCAgCgoAgIAgIAoKAIBD0ERDBIOg/Y1mhICAICAKCgCAgCAgCgoAg4BQBEQycQiQNBAFBQBAQBAQBQUAQEAQEgaCPgAgGQf8ZywoFAUFAEBAEBAFBQBAQBAQBpwiIYOAUImkgCAgCgoAgIAgIAoKAICAIBH0ERDAI+s9YVigICAKCgCAgCAgCgoAgIAg4RUAEA6cQSQNBQBAQBAQBQUAQEAQEAUEg6CMggkHQf8ayQkFAEBAEBAFBQBAQBAQBQcApAiIYOIVIGggCgoAgIAgIAoKAICAICAJBHwERDIL+M5YVCgKCgCAgCAgCgoAgIAgIAk4RCOG0hTT4JhB49OgRvXz50mIuwYIFo3jx4qmyW7dvU/hw4ShSpEgWbd6+fUv3799X7WyNoRuHCBGCYseOTbbaWN/n44cPqluYMGEoWrRohHrQixfPydPzsTq39V+cOHHIzc3NqLp0+TLFihmTwocPb5ThBHNAO70WXL9//55icltrunnzJsWIEYNChQpF7969o7t371LYsGHVvKzbfvz4kW7dukWhQ4fhPtFVtSvrdYarq+t+8+YNXb12lV6/fkMxosegOHFiW09RrgUBQUAQEAQEAUFAEPhqCIhg8NWg992NBw8dSjt27PDRaef27RQ8eHCqVLkyxYwRk2bNmqkEBN3w/PkL1LhpE0I7e2OgLfouXbLYbhvzffTYOIYLG47atmlDJUuWoPXrN9DQ4cPN1RbnCxcsoLgsHIAuXbpIterUpTq1a1PjRo0s2mGeYJzbt2uryvW8p06ZTO4p3C3aVq5alcaNGUMZMmSgy1cuU736DShKlCi0fOlSCyEEnfbv308dOnak1KlS06SJEyzGthiUL8zrdYarK+s+ffo09ezVy+I2v/76K/X56y+LMrkQBAQBQUAQEAQEAUHgayEggsHXQt4P9y1Xtiy1ad3a6AlNPYQCTffu36MJEyZQu7ZeDLUu18e+vXvTB29t/6TJk+nkqVM0YtgwVW0ex9l9+vA4Hnnz0jXWfq9es5b6DehPSZImoXLlylGpUqXUePsP7KdOnbvQ5o0bjTlCq69pzdp1SqhYsXIl1a9Xj2CxcEZ9/9ePpkya5LStp6cnHTx0mLL/ks1iyJWrVltc6wtn63WGq7N1w1IBoaBe3Xr8V0cJLLDwPH/+TE9BjoKAICAICAKCgCAgCHx1BD5zlV99KjIBZwi4uYVQLjNgsPEXMmRIiy5Vq1ShRYsX0/ETJyzK9QXcc3RfCAJgxvW1mTF3dh8IJGifNGkyatiggRr+5MmTSgAwxuO5gjBHXaYK+D+4Ny1fvoJ+//13esNuNdDkOyMw7xcvXqS58+Y5a0pFixaldevWWrSDy9C27duoWNFiFuW4cLZeZ7gCS73GEDbWfevWTXXPAvnzGVYMWE6srR8+JiYFgoAgIAgIAoKAICAIfEEERDD4gmAH9q088nqQh4cH9e/fn+DP/iUI2nlQ1KhRXb7d7j17VNv8+TyoSJHCtGLlKqd9Y8aMRR3ataN/xo9nP/1rDtsXLVyYNrCl4umzp0a7jZs2Uob0GShJksRGmasn/sU1btx4yjoyacoUevZMrASu4i7tBAFBQBAQBAQBQeDLIvBVBINwHByaNUtmypY1i8Wfu3uKL7v67+xuizkGoHyFisbfX+zSY6YPHz8o5vnBg4c0Y+ZMc5Wvzp3d58yZM7Rn716aPmMmde7alRImSEA5smd3+R5wHypevDgHAYemYsWK0c5dO+nBgwcO+8MFCi47YO4HDBhIcM+xR5kyZVIxE1u2bFVNPn36RMuWLVduTji3Jmfr9S+uCNIeNGggnWBLTrESJWj4iBF048YN62nItSAgCAgCgoAgIAgIAl8VAeeO3b6cHpgg/Nmjp0+fcnaZGFShbGnyymXzuSWYtq49LZndz7VyljdPXqpSpbIBRMQIEYxzfRI9enRqyzEG/fr3o3yskfcLObvPhg0bae++fXT71m2Kz0LBuEljLQKeHd0TvvVwHXJPkYK2bN1Knz56MerQ8FevVs1RV+Wq1OmPP6hGrZq0bPlyqlC+vM32cO0pU6YMLV+xkuCChFiKa9evU3525VmyZImPPs7Wiw7+xfVnFlaWLFqk1jx/wULl8vUXxx0UKljQx3ykQBAQBAQBQUAQEAQEga+BQIAJBrAC/FaxPKV2ovWfMGU6Z4+5QouXLqeK5ctaCAc67eXXAOJ7uCfSdYLBdEYlihejTcxo9x8wyMjs46yPud7ZfVq3bkUF8uenPewS1LFTJ7p584bL/vLr1q1XbjUQLPAHUhmRli2japxhyNk7kDhxIs5i1JiGctB0rpw5zdO2OC/KLkqTJk9ScQlr1qyhUiVL2RVenK1XD+xfXBGHUIzjH4qwqxPmP+Lvv6kgZyZytmZ9fzkKAoKAICAICAKCgCAQmAgEmGBQskRRTjEZjabOnEP3OG++PYLFAHToyFFKmzaNU0HC3jhSbh8BMJod/+ioUpguWLjQfkN/1uTKlYtdiHLQkKHD6J+xY43sQ/aGhTvQkqVLqFGjhlS5UiWj2fXrN6hq9WrK1QZpR51R9WpVafOWzTR4yFAlZNhqHzduXMqSJQstWLiIVq1eRf+MG2erma/KAgpXWDRy5MiurB7YewECg5AgIAgIAoKAICAICAJfG4EAizFIkzo1Z33ZSefOn6fHjx/b/dO+4YUKFhChwJdP/8mTJ4RNwfTfFba82CNkvcE+AFu2bLHXxG65b+4D68EpdtVB2lJndPDgQd4AzZMKFyps0TRBgviUMWNGWr16jUW5vQtkOurWpQvt+3cfvXxluembuU/JEiWVUIAYiHRp05qrLM59s16/4HrhwgXauGmTiitA8PHZs2dp+vSZSqgSocDiUciFICAICAKCgCAgCHxFBALMYhCGtZ6eTz5ngXG0JggFBb393w8fO06Xr16lCmV8xhw4GuNHrNu0eRPhz0x6Iy6UWbuklC9XntZzPAAYd2uybmuud36fz60TJUxINWvUoJEjRxKyDEXwjnuwNT72Lvi1QAHegCzy5wG8z8qWKUu9+/SmNm289mlgo4cFWY+XMmVKqlWzJs2cNQsLt9nWI28eVY54A90fx+BulvKw8/Vaju9bXF+8eMnBx4MthBjg8HuHDhbzlgtBQBAQBAQBQUAQEAS+JgLBUqTL7DNNix9m1L93T5o4bSbvaHvJYW9roQCxBrAiZPk5E+XNm5tGjBzjsL9fKpfMnUGRI0emsBwHgVz+mkn0y1jSRxDwKwJwo4PrEHZmhjuRkCAgCAQcAqdOnSS4NwoJAoKAICAI+B2BALMYuDIFe0IB+iLmAH9CgkBQRSBixIhBdWmyLkFAEBAEBAFBQBAIAgh8MbWlI6EgCOAoSxAEBAFBQBAQBAQBQUAQEAS+awS+iGBgSygIHtyNsmb+mUKECPldAyiTFwQEAUFAEBAEBAFBQBAQBIICAoEuGIRwC0Hp03llhEGgsY4p+Omn8FSxXBnCUUgQEAQEAUFAEBAEBAFBQBAQBL4uAoEeY/D+w3veaGo6ZcuWWaUz1elKv+6y5e6CgCAgCAgCgoAgIAgIAoKAIPB/9s4Droqj68NHwYKo2EDBhg1LbLHEErti7z1dY9RYY4ndJLYoNuz6aqKxRaMxxoYNe8lnLLF3rCh2wQIWLN85A7vZe7kXLnhBJP+T32V3p8+z6/vOmTlnxkgg3hUDqezR40e0bftOY724BwEQAAEQAAEQAAEQAAEQSEQE7GZKJHu1u7lmsblrrpFpnz59anMeJAQBEAABEAABEAABEAABEIgfAnZbMTh87Jh+aNntO3ejbW1Gl/R8GFZlOn3uPEExiBYVIkEABEAABEAABEAABEAgQQjYTTHY5L9NNbhWtark7Jwm2sY/ff6cTp0+Q37rN0abDpEgAAIgAAIgAAIgAAIgAAIJQ8BuisGLF+Hkt2GT+iVM01ELCIAACIAACIAACIAACICAvQjYzcfAXg1COSAAAiAAAiAAAiAAAiAAAglPAIpBwjNHjSAAAiAAAiAAAiAAAiCQ6AhAMUh0rwQNAgEQAAEQAAEQAAEQAIGEJwDFIOGZo0YQAAEQAAEQAAEQAAEQSHQEoBgkuleCBoEACIAACIAACIAACIBAwhOAYpDwzFEjCIAACIAACIAACIAACCQ6AlAMEt0rQYNAAARAAARAAARAAARAIOEJQDFIeOaoEQRAAARAAARAAARAAAQSHQEoBonulaBBIAACIAACIAACIAACIJDwBKAYJDxz1AgCIAACIAACIAACIAACiY4AFINE90rQIBAAARAAARAAARAAARBIeAJQDBKeOWoEARAAARAAARAAARAAgURHAIpBonslaBAIgAAIgAAIgAAIgAAIJDwBKAYJzxw1ggAIgAAIgAAIgAAIgECiIwDFING9EjQIBEAABEAABEAABEAABBKeABQDOzC/ceMmDR46lOQKAQEQAAEQAAEQAAEQAIF3kQAUgzd8a8HBIdS9Zw/auXOnukI5eEOgyA4CIAACIAACIAACIPBWCEAxsCP2mzdvJohycD84mI4ePUbnzp2j0NBQ1QMJ6/T113T7zh079ijhi3r+/Dldv37dasWXL1+hK1evWo2PbcSDBw/o2rVrUbKFh4er8CdPnkSJe/ToEd29e1cPDw19TLdv39af79+/r/JKXyyJVufTp0+jRGtx5hFae169emUepT9Lu46fOEGnTp+mkJAQPRw3IAACIAACIAACIGALASgGtlCKJk3GjBlo+tRplC1bNpUqPpWDs2fP0ieffUaNGjemrt27UfsOHah23br09/4DFM6D0JMnT9LzZ8+iae2bR8nAU1ZJ4kNktaVzl67Uum3bKMUH3bhBH338Mff/U/r4k08UBxmAv6lM8PWlNh99RDKoNsqly5dU+KgfRxuD1f2atWtpxKhRevjGTZvom1699OfxEyeqvJv9/fUw402vPn1V/NFjx43B6j6m9gSzAmguoizMnDWL6tavT3247I6dOlGDRo1o1erV5knxDAIgAAIgAAIgAAJWCUAxsIrG9gh392zxrhxcuHCBvvzqK/LM7UkrV6ygvbt3087t22nypElUongx2xv7hinHT5hAgdcC37CUqNn37dtHn3/xBTkkt/xJTps+nTw8stPmjRto04YN5ObmRtNnzoxaUCxCRMHZtm0bpXFKQ1v5akl27NxB8ouLiAJhLvIez507ax6snm1pj6WMJ1gh/HXJEvLld+O/eRPtZrO2eT//TBUrVrSUHGEgAAIgAAIgAAIgYJGAo8VQBMaagKYciL+BrBpoKweymiBxbyoyCPbyKkgjRwyn5JGDZ0dHRypbpowqWkxQRMQMZ/nvK9TgPXeuXNSqZUvKnj27inv58iVt2bqNDh08SHfY5KhwkcJUv149ypEjh4r3W7+B0qdPS8H3g2nPX39RCscUVL16NapVsyaJWczPc+eSDGx/mT+fXDNnIe/a3qr+Z7xKsZ4H6wcPHuL86ahatepU7oOyqsyTJ0/R0WNH6YOyZdXg9R7P8o/z8aHUqVOreO3PVTYP6vXNN6qt3Xp014LVVcykdu3aRXP+N5ucndOqsPbt2lGXrl2pN+dJly6dSXpbH/z9N1OunDmpEc+ur/zzT2rapEmUrC1btKAJE32pVKlSlD5d+ijx1gJqe3uTrBiI6ZOnZ249mTDW4vTAyBtb2mOeR57lnYhyU65cORUt30fBggUtJUUYCIAACIAACIAACFglYHl61mpyRERHQBSAIYMH60lEOZg2Y7r+HNcbGZTv37+f2rZurSsF1srq8+23PFBOS1UqV+YB+XE2zelCohBosmWLP+XPn4/qskJw/PgJE5OYEyf5ecQo8t+ylSqUL0/hL8Lph2HDaPWa1fT69WvKmSOnKqZwoUJUunRpcnN1VeFjx4+nJUuXUvHiRcnV1Y369O1DsgIgEnQjSMX16tNHmVtVq1IlilIg6Vpz3xo0qE+v+T9zuRvpN+GZx1OPypsnj7o32vbrkTbcSH/+XLWKGrNZlig+aib//LkoOb9icy1RkKZPmxElLrqAXLlyU4kSJWjjpo16MnmPa3kVoT6b/JiLre0xzyfPogSEPQmjBQsXkfgiQEAABEAABEAABEAgLgSgGMSFmpU8YiP/4+h/bdLd3d2pRzfT2W8rWaMNvsEKhkiu3LmiTSeRXVkR6MgmR82aNqVBA/qzP0AwBQZGmP44ODjQ+HHj1CC8Ds/292A/BfFLMHdY9vEZo/LLzH7DBg1p/vyFlCpVKvL2rqXqL89KQ506tSl37tx0hv0eNrGN/Y+jRlKb1m3oy/btqHmzZvTHypV6W6UNA/r3o85s+968eXM93Nab23ciHHud06TRszg7O6v7WwanXz3Shhsxv7nKXLxr1VJmSR+UKUvreTbfXGRlYyBz9NuwXvlymMdbe5aBfqOGjWidnx+9ePFCJduzdy+lTZuWSr3/fpRstrYnSkYOKFK4MPVmH4c5P82hZrzCIWZF5j4TlvIhDARAAARAAARAAASMBKAYGGm8wb0oBZoZkRQjSsG0KVPtYkbkFGl2Y2mHHPMmlyxRUg/Knz+/ug827FBz5coVWsmD9ukzZtCKFX+o+BCDQ2vRYkXJOAAXExoZmFvaQUcyB5wPUGX4+a2nSZMnq19AwAU6cuSoCtf+VKwQd3t3mbEXkcG2Jvq9IUxLs3btOp6Zj/iJw7YlWbfOj1c83OjY8eO0jX01MmXOTNIHS/0UEx0xufJhRSksLMxScRbDqlSprBSz/QcOqPi169apFQrNFMyYKTbtMebT7sXkad2atdS6VWta+ttv9BE7aF+8eFGLxhUEQAAEQAAEQAAEYiQAxSBGRDEniE+lQGp3ZZMdsSG/fOlSjI1xcbFuB++/ZQt9/OmndPnKVcqTJy+VjvRPMBaaIkXEIFwLy8IDZhGjOZIWJ9eHjx6qx5xsq6/9atasQd26ddWTZcyYkWS1Iq6SNWuEj8bjx4/1IrQZcReXDHqY3IjCsIOdb7Wf2Pibi2zxus5vHZs0paL5Cxao3/mA88ocR2b1LUmP7t1J6v+J/Sxs7YsoWLLiIgqHfCNiDla3Tp0oxcelPVEK4QDZIetz3rVp2dIlyqTr1yVLLSVDGAiAAAiAAAiAAAhYJADnY4tYbA/UDjgTfwIRe64UaK1IliwZlSxZgpYuW8bmPN5xdradOXOWGqj26R2xtabmB6DVI9dLrHzI4FrqVM+8bafMrIvpjjabrpnGSLyXl5dKJ07QYloUH5I1q5sqVsyexIxJ5OSpU+qaM1eE47R64D8yGz9xwnjt0eJ1+44dStFawE7UKVOm1NOMHPUjyU5C4nNgLunTp6dBgwbSd99/TzWqVzePtvosKw2ytWyGDC4k5krih6KvdkTmikt7rFbIEeKg/X7JkhRwIWI1J7q0iAMBEAABEAABEAABjQBWDDQSdrjGh1KgNasfOxWLKVH/AQPVDj1ywNatW7foL949yNpBWlpe7erq5krBIcF8KNpjOn3mjHJW1eK0a1BQEC1ctFjZqJ/iwffs2XOoRo2IgbDY28vs/+49e5TdvOxGVKRwIaU4TJ46lf45fFi18eLFC3T4yBGtyDe+Ojk50adsGjP7p58pICCAzrGT8P9mz1YD9NjsFKQ1ZNWq1dSkSWMTpUDixPn50KFDVg9YE4WgCjtPi+mRrVKMTbM8PDzUmQINGza0mC027bnIips4Sms/OcthL69y/P333+qQNdmd6q//+z/l5Fzugw8s1odAEAABEAABEAABELBEACsGlqjEIkzMN2ZMm0ZTeZ99cTSWGeH4ENm3fzIfxrWE7cfH8X712kFXMpu/cMF8fYbfUt3JKGL2v3PHTjRw0CA+FK2eSta9Wze6e+8uRUarMJnV3vvXXuXIKgGytebXnTurOPnTqWNHGssOzMuXL6duXbvSx3w42AzeeWnMGB/q0bOnnu4bvpdZa23lQY+I4UZrq3mydnzGwd279+iL9u1VVPly5al/v37myWJ8loH16TOnadDAAVHSluRdhGQQv9l/C334YQUVb97+vr1708EDB8khWfQ6tZZPVjDECXnRokVUqdKHUeqMbXt6cf1Gad+uPW+jmpam8DeoiZidtW7dip3BW2tBuIIACIAACIAACIBAjASSFSha6l+PzhiTv5sJVi5dyKYcGUhmnsU+XBu0vZu9ibCjF8UgVaqU+r7+tvZFTskN4Vnl9Lz3v5yDYBTZdvT5s+f03dAhasVAdiIymtpoaWWF4jHb6WdwcTHZPlXCQ0PD1FkGttrha2XaepU6pA/m5yDYmj+pplPvlZ3M5Z2K2RMEBP5rBE7ydss41O+/9tbRXxAAAXsTMB0Z2rt0lBcvBESxyZQpU5zKlhnsTGwOFJNEd2iYKAuZDLb5WlkSbkmR0OLtcY3v8u3RxrdRhnqvcfwm3kZ7UScIgAAIgAAIgEDiIxC9PUTiay9aBAIgAAIgAAIgAAIgAAIgEA8EsGIQD1Df1SKbNW3C25K+elebj3aDAAiAAAiAAAiAAAi8AQEoBm8AL6ll9SoQsfVoUusX+gMCIAACIAACIAACIBAzAZgSxcwIKUAABEAABEAABEAABEAgyROAYpDkXzE6CAIgAAIgAAIgAAIgAAIxE4BiEDMjpAABEAABEAABEAABEACBJE8AikGSf8XoIAiAAAiAAAiAAAiAAAjETACKQcyMkAIEQAAEQAAEQAAEQAAEkjwBu+1KdO74IbvA8ipW2i7loBAQAAEQAAEQAAEQAAEQAAHbCWDFwHZWSAkCIAACIAACIAACIAACSZZAvCgGr19H5WUhKGoihIAACIAACIAACIAACIAACLwVAnYzJboYeJdSOCbnk3Nf0/MXL8gheXJySedEz56HU9iT55ScnzNncCbnNKkpGXf1CYfffxBK4c9fUjIOcEqdktJzeggIgAAIgAAIgAAIgAAIgEDCE7CbYtCq6wzK4Z6JHrMScPPWfaUAfNLsQ/r78AU6evoKpU6Zgjq0rUqt6pehFA7JyX/vaZq7bBfduB2slIaiXjmpfetKCU8ANYIACIAACIAACIAACIAACJDdTIlu33tI128FU5F87tS6YQUKeRhKi//cS1mzuFCT2qUp7OlzWrX5MF3mlYUNO0/QpLmbSEyOPmteiRp7l1arBn8fvohXAgIgAAIgAAIgAAIgAAIg8BYI2G3F4MWrV5Qvlxt93KQ8OTulpE27jlFqNg9qUL0Yrx6koqOnrtK9kMd0ixWIw6cC6SkrCkO6N6KShXPRyxcv6f7DMErL6X6Z+RYooEoQAAEQAAEQAAEQAAEQ+I8TsJtiIBxzuGemHNkyKKTp06Wh9GlTk0fWDJSGFYWcbGYkPgXPw1/So8dPyNHRQSkFrpmcVXrXzGnZpEi8DyAgAAIgAAIgAAIgAAIgAAIJTcBupkTS8BQpHHhw70BiF+TIfgQOPNBPzvcOfJ8iRYQOIqsHObJlpBcvX7FJ0TG6dfchXbl+nzbsOkmXrt9N6P6jPhAAARAAARAAARAAARAAASZg1xUDW4iKuVCdKkXpxLkgGjvTj6bM20yvXr2mtLy6ULVcIVuKQBoQAAEQAAEQAAEQAAEQAAE7E7CbYvC/Ue0ofy5XyuTiRDzOp4Fd6lPqFCnIwy0DOfA2ph3bVKFmtUtRwbxZKRXvUDS0ewM6fDKQjpwOVD4IZYvnpoJ5stKqxWPs3EUUBwIgAAIgAAIgAAIgAAIgEBMBuykGDT4sqHwE5EwCkQrv5eDzCvg/R0cKC3/Bg/+UlDlTNkrLDsmp2b+gcM7MlDerC9UonZcc2QQpnXMqSp0qRURm/AUBEAABEAABEAABEAABEEhQAnZTDByDrps0nD0NIsTFhYLDk9Eq/8OUMUNaalipMKUmPvDs8WOS48zUkWbP+SY0Mj0uIAACIAACIAACIAACIAACCU7AbooBHThoufGFClHaHJ6UN6cbhb98SY58KjJd4fMKrl61nB6hIAACIAACIAACIAACIAACCU7AfopB/XoWG/86VSpKxzsV1a5chF7zf068QxFlfp+o6HsW09OP4yyHIxQEQAAEQAAEQAAEQAAEQCDeCNhPMUif3mIjxeVAzIqcTdwH+CF1aovpEQgCIAACIAACIAACIAACIJDwBOx6jkHCNz9x1Hjjxk0aPHQoyRUCAiAAAiAAAiAAAiAAAu8iASgGb/jWgoNDqHvPHrRz5051hXLwhkCRHQRAAARAAARAAARA4K0QsJspkVex0m+lA4mp0ps3byrlYPrUaeTuni3emnY/OJgCrwaSk1Nqyp49Ozk7O5OEDRw0iEaNHElurq7xVnd8F/z8+XO6c+eO6pe1ul6yE/uFixcou0dE362lsyX8wYMH9OjRI8qRI4ee/OGjh/T0yVNyc3PTw7QbSRsaGkrZsmWj+/fv86neDuTCO28ZxVKZ4eHhdOvWLWMyk/uMmTJRSj73Q9J4eHjw1r+mOvvTp0/pfEAAuWbJouo2ycwPoaGPSZRUS3nv3r1LqcTXJ10682x4BgEQAAEQAAEQAAGdgOnoQw/Gja0EMmbMQKIIyEBRRFMO4mPl4OzZs/TJZ59Ro8aNqWv3btS+QweqXbcu/b3/AIXzgPrkyZP0/NkzW5sep3THT5xQA9A4ZY4hkzDr3KUrtW7bNtqUixb/Su2/7EBHjx2LNp0tkRN8fanNRx8p5UBLv3fv/1GzFi0oNCxMC9Kv48aPp7H8Exk/cSLNnfeLHqfdWCrzypUrqh6py9Jvz+49dOnyJRUXzEqeJkFBQfyuu1NNb2/6uksXatGqFTVr3oL8/NZrSdR146ZNKu+qVatMwuVhjM9YWvln1PAoCREAAiAAAiAAAiDwnyYAxcAOr19WB+JbObhw4QJ9+dVX5Jnbk1auWEF7d++mndu30+RJk6hE8WJ26IVtRYyfMIECrwXaljgWqfbt20eff/EFOZjNlJsXcer0afr111/Ng+P0LDPs27ZtozROaWgrXzWpXOlDdfvXX39pQeoqqwXbmHnd2nVMwo0P1srMly8fbd+6Vf381q5VWeTdaWHe3rWMxah7qa/vt98yEwf6Zd5c2s3matu2bKF27T6n0T5j6K//+78oeSZymfGhlEapCAEgAAIgAAIgAAJJjoDdTImSHJlYdkhTDsTfQFYNtJUDe5kVTZ85k7y8CtLIEcN1MxNHPlW6bJkyqqViviJy/fp1Wv77CjV4z50rF7Vq2VI3yxETnC1bt9GhgweVuU7hIoWpfr16uhmN3/oNlD59Wgq+H0x7eFCcwjEFVa9ejWrVrEli4vPz3LkkCsov8+eTa+Ys5F3bW9X/jFcp1m/YQAcPHuL86ahatepU7oOyqj0nT56IEoBRAABAAElEQVTimf2j9EHZsvTrkiV0j81vxvn48KZUprtSXeVzLXp9841qa7ce3VVe8z9hPIP/w7Bh1L17V5o+faZ5dKyf/f03U66cOalRo0Y8o/4nNW3SRJWRNm1a7nMt2rhxE3nX+nfAvotn9UUqVa6krpb+WCszGR8JnjJlSpVFzIpEUqZIqYepALM/v/N7fMQHAc6cMZNkZUpETIKaNG7C7zmIRo8ZQ+vWrNFzfVCmLN0LZr4TxpMvK3BSJwQEQAAEQAAEQAAEbCWAFQNbSdmQTpSDIYMH6ylFOZg2Y7r+HNcbGZTv37+f2rZurSsF1srqwzPM6dKlpSqVK/OA/Dib5nQhUQg02bLFn/Lnz0d1WSE4fvwEjRg1SouiEyf5ecQo8t+ylSqUL0/hL8LVQHz1mtX0+vVrypkjp0pbmA+tK126tPJlkHAxrVmydCkVL16UXF3dqE/fPiQrACJBN4JUXK8+fZS5VbUqVaIoBZKuNfetQYP66qwLebYkM1g58sydmxo3amwpOlZh0u4/2eymMZtlieIjCs+58+f0MurUqU37/t6n/Ai0wC3+/lSnTh1yTpNGCzK5xlSmSWIbHs6cO0sVy1fQlQJjltpsWiQmR/fu3dODX75+RUP5+5NvZeOmzXo4bkAABEAABEAABEDAFgKOtiRCGtsIiAnHj6NH64nd3d2pRzfLs996IhtubrCCIZIrd64YU3dlReCTjz9W6d4rUkT5IQQGBpKnp6dylB0/7t8D5PJ45lbxt9nZ1+iw7MNmKjL4bda0qbJPnz9/oZqlFnMXn3FjqTwrDcWLRZgvnT5zhjaxfbuYungV8FL1BvOs9R8rV6p0EiADWJ8xo6lypcoqPi5/9u7dS5s3+9OyZb/ZZSb8BPtjXGUusiKQhR16ZbZ9Pa+YeH0T0QdZiRETox1svtO8WTMSB979Bw/QxEj/Akt9iKlMS3miCzt16hS1bdPGYpKsWbOq8IuXLlHmzJnV/Qs+VdzLy4s+Zz8UX/adkFWbTOzUDAEBEAABEAABEAABWwhAMbCFkg1pRCnQzIgkuSgF06ZMtcvuRE6RZjdPnjyJsSUlS5TU0+TPn1/dB4eEkGdkqDjBHjp0iGfyb9DDBw9VaAgP3DXFoGixoiYz4qVKlaJ1futIdsWxJAHnA1SwOMP6UYRDbEDABQrgHXSMUrFCReNjrO5l959hw0fQ8OHDKFPGjNHmlVn7dev89DReXgWoYMGC+rN2I2nceHXj2PHjKigTD66lD1937qxWNFLwDkH1+TRvURZEMRAFQRSFMpGmW1o5xmtMZRrT2nr/4sW/qz3GPE+svA9J88Xnn7PJ2FaaNHkym56NMGbDPQiAAAiAAAiAAAhYJQDFwCoa2yPiUymQVrjy9qMyKL3Ms8Ol3n8/2oa5uFg+gVoy+bPj6rDhw6kF72ojg2XxUfDbYLq7jQyIjZIlcjZazJFka05zka09RXKyrb4mci+mOJpk5MG8pbxafEzXGTNnUarUqZS5j5j8iIQ9CaOt7C8hzr4NeACviSgGMojXROz6zRUD2W5UlB3xL5i/YIGWVJW5h1cmxLRIpLZ3bVrxxx907do1Ev8L8UUQZpbE1jIt5bUWlsczD13id25Jrl65qoI9WAE1F/HfGDp4iNq5ynvXLjY/S2aeBM8gAAIgAAIgAAIgEIWA5VFOlGQIsEZABqbxtVKg1SlOpCVLlqCly5aRN9uWx3U/+pk8wG7YoCH16d1LFa35AWj1yFUGojK41hxXZQtNmVmXsxK0VQMxWdFETFdExPQmN9v/x4fIWQ1S/sWLF02Kl608s2Z1MwmT/f8nsvNtdLJ9xw6laC1gJ2rNIVjSjxz1I63hHYM0xaAIO2dL35f+9hudY3v/ft/2tVqsrWVaLcBChOyONGXaNPqyfTsTtq9evaLlK35X5mGyMmVJSpQorhTAceyELAoGBARAAARAAARAAARiIgDn45gIxSLenuZD5tX2Y6diMSXqP2Ag7eJZYLF5l8OwZEtNcU62RVzdXCk4JFgdhiW+AQsWLoqSTQbbCxctVvv6i4377NlzqEaN6iqdzETL7P/uPXtIlAPZjahI4UJq8Dx56lT65/Bh1caLfPjY4SNHopQd1wAZGP/w/fcmP1lB+eyzT6lTx46xLnbVqtXUpEljE6VAChHnZzGzkp2dREQ5klWCVatXq4PDxOnamthaprX8lsLFMVoOLJOD62R15Pbt23SMz26Q8xPE50J2cTI/CM1YTudOEWz+OfyPMRj3IAACIAACIAACIGCRABQDi1hsD5RtJGfwrG7VqlXt5lNgqXY5hXcyO5S6e7jzdpQTqAnbvTfnrUjHT5ioBujaDL+lvMkowpSkc8dOdPifw3woWj36igfUVapUVgPPyGiVVZxw9/61l+rWr08d2d6+Es9ai929JjIQX758OVWtXl05GDs7p6UZvPPSi/AX1KNnT6pVuzZ99kU7On/+vMoSXbu0Mo1Xra3GMGv3yXngHlsRZ93TZ05TPT4YzlxKliiheGz236JH1axZQ903qN9AX0XRI/lGmhDbMlWmyLzGsrR7jZkoYvN+/pkdvYuTz9ix6tC1Lt26KZOqOf+brW9Vq+WT8w6MIqs8skuRiFamMR73IAACIAACIAACIGAkkKxA0VKvjQFJ8X7l0oWUIUMGcnJyUrbu7/ogSUx9ZKefVKlSsolP2li9MjFDCeEzD9KnSxfFXl62HX3+7Dl9N3SIWjGQPfONpjZaRbJC8Zjt9DO4uJjMWEt4aGiYOsvgTXwKtHpwNSUgZ1XIYN+an4NpajyBwH+LwEnebrlixbhvcvDfooXeggAIgIBlAvAxsMwlUYeKYhPXbSjF9CSmnX2k89H5MYiykCnysC4jKAm3pEgY0+A+7gRcWBGDgAAIgAAIgAAIgEB8EYApUXyRRbkgAAIgAAIgAAIgAAIg8A4RwIrBO/Sy4rupzZo24VOSX8V3NSgfBEAABEAABEAABEAgERKAYpAIX8rbapJ2cvHbqh/1ggAIgAAIgAAIgAAIvD0CMCV6e+xRMwiAAAiAAAiAAAiAAAgkGgJQDBLNq0BDQAAEQAAEQAAEQAAEQODtEYBi8PbYo2YQAAEQAAEQAAEQAAEQSDQEoBgkmleBhoAACIAACIAACIAACIDA2yMAxeDtsUfNIAACIAACIAACIAACIJBoCEAxSDSvAg0BARAAARAAARAAARAAgbdHAIrB22OPmkEABEAABEAABEAABEAg0RCAYpBoXgUaAgIgAAIgAAIgAAIgAAJvjwAUg7fHHjWDAAiAAAiAAAiAAAiAQKIhAMUg0bwKNAQEQAAEQAAEQAAEQAAE3h4BKAZvjz1qBgEQAAEQAAEQAAEQAIFEQwCKQaJ5FWgICIAACIAACIAACIAACLw9AlAM3h571AwCIAACIAACIAACIAACiYYAFINE8yrQEBAAARAAARAAARAAARB4ewSgGLw99qgZBEAABEAABEAABEAABBINASgGieZVoCEgAAIgAAIgAAIgAAIg8PYIQDF4e+xRMwiAAAiAAAiAAAiAAAgkGgJQDBLNq0BDQAAEQAAEQAAEQAAEQODtEYBi8PbYo2YQAAEQAAEQAAEQAAEQSDQEoBgkmleBhoAACIAACIAACIAACIDA2yMAxeDtsUfNIAACIAACIAACIAACIJBoCEAxsMOruHHjJg0eOpTkCgEBEAABEAABEAABEACBd5EAFIM3fGvBwSHUvWcP2rlzp7pCOXhDoMgOAiAAAiAAAiAAAiDwVghAMbAj9ps3byaIcnA/OJiOHj1G586do9DQUNUDCev09dd0+84dO/Yo4Yt6/vw5Xb9+3WLFT58+VX2Wfsv9m0jQjRt07do19RNmUq9RXr9+reLMwyXNw0cP6e7du3ry+/fv04MHD6w+6xF8Exr6WK9X2vDy5UtjtH4v6W7fvm3yLO199eqVHqbdSFsePXqkPZpchdPJk6fo1OnTJO00l2fPntG58+fo2PHjNq94Xbx0Sf/ujOVpfbOljUb+RnbG8szvw8PDdXbyjdy7dy8KP+mvte/nzh1TTtKGJ0+e6NWYP+sRfCPsjN+LfB+WxPy9ST7jezTmkXZa+r4kzcOHD+nIkaPq3Wj/xo15cQ8CIAACIAAC8UHAMT4K/S+VmTFjBpo+dZpSCEQx0JQDCXN3z2ZXFGfPnqURo0bR5cuXTcr1nehLnrlz8QDwJD3ngV58yvETJyhH9hwk/ba3aCZZ586dpb27d5sU/9dff9EPw4abhA0fPowqVqhgEmbrQ6vWraMkrVG9OvX79ltKnz49hYWFUpuPPqJZM2ZQ8eLFTdIuXfobnTl9hiZN8lXh4ydOJNcsrtSndy+Lz8bMGzdtIt9Jk41BVKJECWrcqBHVrVNHD5d0K1b8QUuXLFFhWr6+vXtT8+bN9XRyM8ZnrGrjF59/pof/c/gw/W/2bPVN6IF807RJE9VHCduydSszHSa3utSoUYNGDjflrEfyzcWLF+izL9rRF59/Tp06djRGUWzaaM7fzdWNypQpTV27dLX6bV26fInaf9nBpM40TmmoRYvmqi3JkyfnwfQR6tuvH+3mFTx5NsqgwYOpSpUq9Plnn6pgacOokSOperVqFp+NeeUd79q1Sw+Set8v9T61Yw5FihTRw83fm5bvl3lzyauAl55Oblq3bRvl+1q5ciX9vmIFXQ0MJKkj7EmYyvP90O+oTp3aJvnxAAIgAAIgAAL2JmD6/5z2Lv0/Up4oAKIIZMsWoQhoyoE9zYouXLhAX371FSsAnrSSBw4ycN65fTtNnjSJShQvlmCkx0+YQIHXAu1e3759++jzL74gB7PBnFbRpClT1MBo44b1JL9atWrSpMmmA2wtra1XGRQKxzWrVtFYnzG0jXn+PHeerdnjnC5Xzpyq3u08MJ/3889UpnQZGskK3/Lff4+xzIn8vmP6rmSmuUfPnjwQLUCLFixQg2QZKP8ydy41adJY1SEz66IUtG/Xnnbt2KHa8/vy5fTZp59E24b1GzaqAeuatWvpxYsXFtPa0kbJqPFftfJP6tfvWzrLK0Fdu3U1WY2xVIG8L+nPsqVL6bPPPqNFixfTTsOg3VIee4S1aN5Ccdq4fj2NGzeWUqVKRR07d6Zjx47FWPyoH0db5aVlXsL9EXatWrWiP//4g/w3byL5RkTxL1u2jJYMVxAAARAAARCINwJQDOyENr6Vg+kzZ5KXV0EaOWI4Zc2aVbXa0dGRypYpQ6lTp9Z7IeYJMiPdu29fmsyDaaNZhZitbNrsT6NHj6HevfvQnJ9+UuYRWma/9Rto9x4eKK9ZQ/0HDqQhPEsps8oiYvIwc9YsEgXll/nzVRkHDh5UcWKO8icP1iT92HHj6O/9B1S4/BEzFhnwBAQE0PARI6hnr14WzYCuXr1Kvb75hrp366bn1W6k3UFBQWpG2cHBgeQng2kJs2S2ouWz9Zo5c2aq9GEl+vDDD+NF6bHWjpQpU1LBggXpy/btSFYCpkydSrdu3bKWnD4oU5by5ctH4yaMJ2umLMKjX//+1KBeferbpw/lzZtXzZzL7LmXl5c+ax0UFGGuVb1aVcVTKvVwd9fjLTVCvoHVq9fQt7yq8uzpM9q/f3+UZLa00TyTq2sWtfIzjb9Xkbm//GKeJMqz9CdHjhz0yccfqTj5FhJK0qVLR++XLEnDvv+eZIXFfCXLvB2ySiP/bpb+9pt5lP588eJFmsH/xgcPHETNmzUjNzc3FSffSLkPylKmTJn0tLgBARAAARAAgfgiAMXAjmRFORjC5gqayMrBtBnTtcc4X2VAJoOwtmz6YG4eYV5oHx60pUuXlqpUrkxHjx2nzl26mNhhb9niT/nz56O69erR8eMnlGmSVsaJk/w8YhT5b9lKFcqXp/AX4WpWefWa1WogmjNHTpW0cKFCVLp0aXJzdVXhY8ePV4P/4sWLkiubhPTp24dkBUAk6EaQiuvFg1RZUanGphxGRUYl4j+tuW8NGtSn1/yfuYgi0LBBQx44zVI212LO8r85s+nTTz6JkYd5WdaexQ788D+HWeEobS1JvIbX4/chcvrMaav1vHz9ioby9yXfwsZNmy2mC2Q/BDE/admqBSVLlsxiGgn08MiuZv5/njfPqn+Ceea9bM4lUq1qFapd25vWrF1nnoRsaWOUTJEBLi4uVLNmLTrCZlC2yt9//62Smpt72Zr/TdLJdykmYLfv3Lbov6GV7eaWVSl+Ytp1hRVgS3Ly1Gn1PurVq2spGmEgAAIgAAIgkCAE4GNgR8xi4vHj6NF6ie48A9ujW3f9Oa43N1jBEMnFfgQxSVdWBD75+GOV7D22fW7foQMFsr2yp6enmhkezzP6muTxzK3ixflWBvma+LBZjXOaNNSsaVNlvz5//kJq0rgJeXvXIh82oSjPSkPxYhHmS6fPnKFNbA9vtKEODr5Pf7CttKQTCWbHaJ8xo6lypcpaFbG+iv1+vwEDdBtzmRHv3KlTrMsxZpjo66tWQcQBVdpYh23827ZpY0ySYPdOTk4kJkZnzpzlgXc1i/WK6Y7M+n/O5jO+3HZLM8ni+yCSN09evQwxLbp5K+IbklWmWjVrKuVMzGG+41nvuvXrU8sWLahVy5ZqFl7PaHYj5kOiwIgJTd26delr/tbE8TlLlix6SlvaqCe2cFOAldZf5v+inLSdndNaSEH0VcdO5JjCkUJ4RzBRgmS1pVjRohbTxndggfz5VRXiEK997+Z1yopXU/63JAq3D/uDzJg+LYpCe4J9d4q+955J+Nat25RyLuWJwl2afRogIAACIAACIBCfBKAY2ImuKAWybamsEoiIUjBtylS7OCA7RZoKGXdQsdbskiVK6lH5IwctwSEh5BkZeuXKFTp06BDP5N+ghw8eqtAQHhRrikHRYkWVUqAVUqpUKVrnt86i+Y+kCTgfoJL6+a0nP1qv7gMCLijTIfUQ+adihYrGx1jf/7pkKZ3mWVUZBF5ns5Hfli2jHDyQ1hxJtQLFxGbdOj/tkQfSBZS5jh5guGnetJla+XjCg8sLbMohplLuvKrRkX053pY4OzvHWLU4/oqJl/hYjGTzLKM4ODqoR6OJ1YGDB0jMvkT5EZMbUQxExBxG/FXEt2LZ8t9pBdu1Dx82TI9XiSL/yPciKxXityDpX7+KWNnZ7O9PH7OTtrlE10bztMZnbcUoZcpUxmCT+17f9CQXlwy8E1QIiZO12OV7eHhYHZibZLbzg8bZOa1lJUarTlb6BrCJ1yfs+Lxq9WplLqTFydWR35usthhl3Xo/tfvTpYuXqAz7GEAxMNLBPQiAAAiAQHwQgGJgB6rxqRRI81x5Nl92KLnM20SWej/6WUMXl/RWe+S/ZQsN4x1nxIlSbNtl9tiPHXmNkiJFCuMjZWH7exGZ9RTTCXORrTtFcvIgXRO5N+6gkjFjRot5tfQxXUWZmTtvLv3EphjaDjAflC1LYjZVlc1acuf6dyVFFIMd7JiqiWbHrz0br3ny5uEdgSJ2HJLZ3rRpnWnc+AnUTpygHSL+aYQYtiHV8oaFhVGKVCm1R7tcZZtL2YmmSOF/d7ixVrCYYg0dPIS6du9G3ux0mzz5vyZDBXjgLiKrROKPICKKjvy279hBQ7/7ToVpf4SP7IZU29ubZAVF/FJqst28uRnSxo2b1Df4f2wiJj8R2UlIfEs+4t11zNNH10atbktXUSqLFytO5t+hMW1RXh0QvxCRqlWrkmzVu4wdt+UdOjpGfL+y3WeGDBmM2dQqRKpUpt+3SYI4PIhCKaKtHERXhCev0HXi1Q7hbL6bVqFChWkz+//I96uxnMQ7IYmIz9Cdu3eiKxpxIAACIAACIGAXAlAM3hCjdsBZfKwUaE2TgULJkiVoKc+Se/MATpwf4yIz2UZfbPW1bTU1PwBjWZdY+TAOTmSLSBkAyky2dnaAcTcaMW0RESfo3LlzG4uy272sEIiII60mRYu+p25v3rxlohjIzOxEds6Ni4SERCg5ogTJwFb6vXPnLuWvoZUnbI6xb4b4cNhTfvp5riquYMEInjGVLQqNKHjjeJeoPJ559OQ52SFXlMh5v8xXjuox+aRoGSVd+fLl1Gy2nBcgCoMmwmPlnyupY8evqDXvmKNJYOA1asvOv8f5DARLNv7W2qjlN7/KqoQ4tndo/6V5VLTPxnMQPLJ7qLR79u7lb72Bnk8UBVG8xIHfXhLhkP8/pchY8puxVM/HH7Wlrdu20vgJE9V70tIUKVxImUXJVqVGxlo8riAAAiAAAiCQEASgGNiRsj3Nh8ybJfvry3al/QcM5BnaNmrmXAZssttJGR6U2yKubq4UHBKsZk6v8qBuwcJFUbKJqcnCRYvZ1KGpmnWePXsONW7cSKWTwY/M/u/es0f5GEj9MqCRAfRk3lHns08/JXFMvsEOxw8ePlKmKlEqiENAIS5TZD5vvSl28DI4X8JnCYgUfa+wusblz/3799SuTY8fP6aDbF61mLe9FD8IbZDXqlVLtVNM9uzZqRrv3iOyatVqPmTtLH03dEi0VQpneTdG0RSbp7yjjxyWJSsP4py9etUa2s/mPv9jU6a0MZikGMvr3Kkjm/VsY3Oaf/RvQAb4vr4Tlf3/8BEj1cqN8EvOyqXUqYnsEnWJz8OQ9yVOv/LeFyxYROXLlTdRCiT9wUgzJO9a3lp2dc2ZM4c6g0HMyCwpBpLIUhu1QuSAMnHGvcsHj4nT9YIFC9mMqRZ9bjiPQUtrvIoCIUqqKIX7D+xXpnHf8PasIrKzkszGz+VtZ0WBLV+uHB+Edp+m83kUnp6eqr/GsszvhYPxvYk/hex+JPKIV8eEoZjmXb1yleYvXKBYTWBfDVtFVkKGDBqk/i0b88jqTs8e3dXOVI8ePWZFuzTlyZOHnnA/sVpgJIV7EAABEACB+CQAxeAN6cpBXzOmTaOp06crR2N3d/seaqY1T7YvnMwmCEt4y0OZJRZ7cREZlC9cMF83P9DSG6/JKMLUpDObMQzkQUntuhE74MjWoHfv3aXIaJVFtpvc+9de3sp0jnoWE5Ovea92TeRQK9mSdDnved+ta1dlXz6Dd14aM8ZH7Z2vpZOBmtiwa2YRWnhMV62txnSZWBnx5T5P4P7LnvUi4qg7i7d3tOagasxv7d540JgMGhvxDjMdv+qgJ2/DOyWFh79QCoOYMonIYWRz/jebnXv/naWXcB53m8i2bdtIfkbZyvb4IrKLjRyeJiLlidNpdzYL0kx/VISFPw7JTU25ZBVHdimSA72MnMURd+rkKTzL/yf98MMw/ZAsWUmQQ9xEQkPDeC/+8XqchEnct7zNrbnI2QUSZ+lQO3FKHzFyBH3Ddv8itrZR0mrnUIh/gDDo0uVrdnJvHKPZmTg9a/Ie5xO/k2a8xacmQ4cMoanTpvOs/AQVJP0WG/3RP/6oK31aWvP3Jn4m8tNEzJpmzZyhHsWfQn5SnhxuVo//HbVo3kwpVlp6S1fju5F4MeMTJVp9y4YGtGndRrVv67btvOIzTy9KlHEx14KAAAiAAAiAQHwTSFagaKmo+0PGd60JXP7KpQuVvbHs/CJ28ub/R53AzXnj6mTGXBSDVGznHtuBsThLit18ejZHEh8Do8i2o8+fPVez4Y8ePVK7zxhNSrS0YkLxODSUMvBMs9FURcJlwJk+fboYB3daWbG9hvIsu4zB0/CuSQkpYooi3090tu8J2R5b6/r3W0mlmJl/+9IvMR2SwafxXdpafmJOJ9/6A3awz5DB5Z37Ny/vRN6NKH/aClZiZp0Y2naSt1uuWPHNNjlIDP1AG0AABEDgbRIwHRm+zZagbpsJyOAurgceyeBPZuBjkuj8GERZyGSwQdfKknBLioQWb4+rbKP6NiR9eutO3W+jPbbWGdO38q72y5b+y7duaZXDlrxvO40ooJqD9dtuC+oHARAAARD47xBI/t/pKnoKAiAAAiAAAiAAAiAAAiBgjQBWDKyR+Q+GN2vahLclffUf7Dm6DAIgAAIgAAIgAAIgAMUA34BOwKuAbVtl6hlwAwIgAAIgAAIgAAIgkGQIwJQoybxKdAQEQAAEQAAEQAAEQAAE4k4AikHc2SEnCIAACIAACIAACIAACCQZAlAMksyrREdAAARAAARAAARAAARAIO4EoBjEnR1yggAIgAAIgAAIgAAIgECSIQDFIMm8SnQEBEAABEAABEAABEAABOJOAIpB3NkhJwiAAAiAAAiAAAiAAAgkGQJQDJLMq0RHQAAEQAAEQAAEQAAEQCDuBKAYxJ0dcoIACIAACIAACIAACIBAkiEAxSDJvEp0BARAAARAAARAAARAAATiTgAnH8edXYLmvH//PoWFhak6HR0dydXVlRwcHEzaEHTjBr16+dIkLHXq1JQlSxaTMHl4+PAhXbx4idI4O1F2j+zk7Oys0jx9+pTu3btH2bNnj5Lnzp27lDp1KkqXLp2Kk/oyZshATk5OUdJqAc+ePaPr16+Rp2ceSp78Xz3UUlu1PM7OaSljxgxkrfyX3McLFy+QQ3IHypPHtFwpIzw8nG7dukWZM2eO0rZHjx6RtMnIRJ6vXL1CT58+I9csruTunk1rCq4gAAIgAAIgAAIg8J8hAMXgHXnV4ydOpF27dpm0tnXr1tSlc2dKmTKlCm/Fz+ZSunRpmjp5sh68cuVK+n3FCroaGEhpnNJQ2JMIZeP7od9RnTq16ciRI9S3Xz/avXOnyUBeChg0eDBVqVKFPv/sU1We1Ddq5EiqXq2aerb0Z8PGjTR+wgTynehL5T4oqyex1FYtsmGDhjRo4AAyL18G8GPHj6fdu3br7ZY+NGhQn3r26KG399LlS9T+yw5UrWo1+nHUSK1YdV2zdi39vX+/zmTL1q30w7BhJmlq1KhBI4cPNwnDAwiAAAiAAAiAAAgkdQJQDN6hN9yieQvq9U1Png2/Tf8cPkyjx4wmN145+KhtW70Xw374gary4F0T46rCkqVLacbMmdS3Tx+q9OGH5ObmRs+fP6fDR45Sgfz5tCx2va7880+lgKzzW2eiGOzYto1ev36t6urcpStV5vZ8+ukn6tnYZq0xktZn7Fjas2cvjRk9mooWfY9SpEhBR44e44H9D5QqVSrq8vXXWnJ13bFzB8lPFARLIqsjohS0b9eef1+oFRhZpXj8+JGl5AgDARAAARAAARAAgSRN4F/bjiTdzaTTOTHHEVOXBvXrkawGHOWBsVHEzEhWELSfNsi+ePGiUgoGDxxEzZs1U0qB5JN0MpOfKVMmYzF2uT979ixduHCBvhs6hLaxIhAcHKKXK4N6vY3cJwdDu7U264n55p9/DtNmf3+awCsGZcqUZpOm1GogX7rU+zR44EBa/OuvFBh4zZiFWrZoQRN4peLho4cm4dpDUNB1dVu9WlXdLMvD3Z28CnhpSXAFARAAARAAARAAgf8MASgG7+irfvXqFQVeDWQ7etsG9CdPnVYz9/Xq1U2wHvut30AVK1SgypUrk4eHB23dtjXOdQdcOM9+BxmpRIniUcooX7686lvAhQCTuK86dKAUjilo+rQZJuHagwf7Vogp0s/z5pH4HkBAAARAAARAAARA4L9MAIrBO/T2b9wIon379tGfq1ZRv/4D6Pad29SkSWOTHowePYaascmR9hOfApETJ05Q0ffe0+3wJWzr1m20cdMm9TvEM/L2FDHT2bBhA9WvX5+SJUtGjRs1Uu2Oax3nzgVQgQIFLGZXqyge7rw6cdEkXlYVBg7oT34b1rNfwQGTOHmQ+HHjxtLx48epLrdzEvtiXLtmuuoQJRMCQAAEQAAEQAAEQCCJEoCPwTv0Yo+wL8Ct27dJdigKDg6mZewzkCNHDpMetGV/g1JsXqOJe7aIHXYcHR3o5etXWrC6rlvvR6GhoXSJdycqU7YMiVmOvWTnzl3KQVh2+tm2fbtSDi5fvkynTp2iIkWKxLoaBzY3ehH+wmq+J0+eWIwrV64c1a9Xj3x8fOjXxYuipHm/ZElayc7Y0sZly3+nFX/8QcPZ76BWzZpR0iIABEAABEAABEAABJIyASgG79DbrccD3D69e9Hdu3epCfsJ7D9wIIpikDdvHpLBrrkUKlSYNm/2Vw6/MoMvMol3OhLxnTSZ7ty9o+4d2fRGRLYzzcBbkRolNPQxO/lGxBvDLd2vXrtGmf4s/W2pHi1mO37r18dJMfDg7VO379ihl2W8kdWJoKAgi1usSroe3btTi5at6Ke5cykrO1ybi/g61K1Th2p7e9NEX1+aPGUK1eSdiTRO5unxDAIgAAIgAAIgAAJJkQBMid7Btyp78Hft0oVmzfqfOnPAli4UKVxIzeDLVqXRiUd2DxW9Z+9ek2SiKMgWp15eBU3CLT1cuXqVnaKPki9vU7pw/nz91+ubb2jV6tX6eQyW8loLq1C+nGr/JlZuzEVMq0RKly5lHqWe06dPT4MGDaTly5fTyZMnLaaRQDFJKs/1yGqMnIUAAQEQAAEQAAEQAIH/EgGsGLyjb7tVy5ZqkD1j1iz6fuhQvRdysNfFS5f05zR8+Fg2NifKly8f7/XfnaZMncqOto+pLO/sI4eDPeHZdm21QDLJrjziMDx37jx68eIFlWdTnHv37tP0GTP4kDJPKlyokF623MhMvew8pIlsG7qRzy6Q+ry8THf3qca7/4z2GUO7du9WM/RaHluuBQsW5Dx1acTIEaxYhLK5VCl6+SKc9v29X+221KH9l2rrVmtl1ahenfx5G1cxGZLdnEQCAgLoEps3SZ9cXFxUXxYsWMR9Lq92TLJWFsJBAARAAARAAARAICkSgGLwDr3VSAsg1WIxf+ndqxc7IfenJo0a67v1TJs+3aRHH5QpS5Mm+aqwNq3bKIfbrdu207xf5unpZLcf41kIQ4cMoanTpquDySSRmACJD8LoH39U+fWMfDOTFRP5aVKsaDGlKHTpYnqmgMTL6crihOznt95mxcDY5yGDB7FykpsWLlzE25BGmEHlypmTtysdpA4509qgXc1Ngfr27k0HDxwkh2QRC2WhoWHsfDxePyxN8okC8W3fvloRuIIACIAACIAACIDAf4ZAsgJFS0WcMpWEu7xy6UJlL+/Es+eyR775gDEJd91q18RURsyDZLAuu/NYEtkS9cED8TVwSXTMxGlaTH/knb6pCAfhIQqSlAkBARB49wicPHmCKlas+O41HC0GARAAgUREACsGiehlJGRT5ICxzJkzR1ulDJIzZjR1QI42QwJGikJjLxEfBAgIgAAIgAAIgAAI/NcJYHr0v/4FoP8gAAIgAAIgAAIgAAIgwASgGOAzAAEQAAEQAAEQAAEQAAEQgGKAbwAEQAAEQAAEQAAEQAAEQAArBvgGQAAEQAAEQAAEQAAEQAAEmABMifAZgAAIgAAIgAAIgAAIgAAIQDHANwACIAACIAACIAACIAACIIAVA3wDIAACIAACIAACIAACIAACTACmRPgMQAAEQAAEQAAEQAAEQAAEoBjgGwABEAABEAABEAABEAABEMCKAb4BEAABEAABEAABEAABEAABJgBTInwGIAACIAACIAACIAACIAACUAzwDYAACIAACIAACIAACIAACGDFAN8ACIAACIAACIAACIAACIAAE4ApET4DEAABEAABEAABEAABEAABKAb4BkAABEAABEAABEAABEAABLBigG8ABEAABEAABEAABEAABECACcCUCJ8BCIAACIAACIAACIAACIAAFAN8AyAAAiAAAiAAAiAAAiAAAlgxwDcAAiAAAiAAAiAAAiAAAiDABGBKhM8ABEAABEAABEAABEAABEAAigG+ARAAARAAARAAARAAARAAAawY4BsAARAAARAAARAAARAAARBgAjAlwmcAAiAAAiAAAiAAAiAAAiAAxQDfAAiAAAiAAAiAAAiAAAiAAFYM8A2AAAiAAAiAAAiAAAiAAAgwAZgS2eEzuHHjJg0eOpTkCgEBEAABEAABEAABEACBd5GA47vY6MTU5uDgEOreswfdvHmTzp49S9OnTiN392zx2sT7wcEUeDWQnJxSU/bs2cnZ2ZkkbOCgQTRq5Ehyc3WN1/rjq/CQkBC6evUqpU/vQjlz5iAHBweTqmKKN0kcw0PQjRv06uVLlSplqlSUwcWFUqZMqed6/fo1Xb9+ndzc3EzCJcHDRw/p+bPnlCVLFj39s2fP6MrVK/T06TNyzeJq8g1IXRkzZOD35UTh4eF069Ytypw5s3rWC+CbR48ekZSjlRsa+pjk+zIXY5uiq1fy3blzl65dv8bfSBrKlTMXpU6dWhVnj7LN24VnEAABEAABEACBd5sAFAM7vj9RDkRJiC/lQBSPEaNG0eXLl01a7TvRlzxz56KTJ0/ygPWZSZy9H46fOEE5suegjBkz2K3o0LAwmsoK1Tq/dZTGKQ2FPQkjDw8P8p0wUSkIMcXHpSGtWreOkq1G9erU79tvWTFJT2FhodTmo49o1owZVLx4cZO0S5f+RmdOn6FJk3xV+JatW+mHYcNM0tSoUYNGDh+uwqQuUdiqV6tGly5fovZfdqBqVavRj6NGmuRZs3Yt/b1/P02dPFmFb9y0iXwnRdwbE2ptiq7ehw8f0g9c/34uT2MqZfwyby55FfCiNynb2BbcgwAIgAAIgAAIJB0CUAze8F3KAFkUAW3VIL6UgwsXLtCXX32lBpS+EyZQ1qxZ6cWLF3T4yBEqVrQoPXjw4A17Ylv28Vz3t3372lUxcEienJI7JKeF8+dTvnz51Cy58Jzz809qcB1TvG0tj5pKG6zfu3ePTp85TQMGDuJ+ZaI+vXtFTWwl5OnTp0opaN+uPbVv94Va5ZAVgsePH1nJERG8Y+cOkp8oCNGJKEi/LlpkkiRFihS8MhF9vatWr6Hz58/TsqVLKUeOHPT8+XP+Vo5S3jx59bLiWrZeAG5AAARAAARAAASSFAEoBnZ4nWI6FN/KwfSZM8nLqyCNHDGckvNAWsTR0ZHKlimj7jXFQMxflv++ggKvBVLuXLmoVcuWytxIEr1k05ktW7fRoYMH2cTkDhUuUpjq16unBo4S77d+A8+Wp6Xg+8G056+/KIVjCqpevRrVqllTDSx/njuXREH5hQfwrpmzkHdtb1W/mLOs37CBDh48xPnTUbVq1ancB2WlSF7FOEVHjx2lD8qWpV+XLKF79+/TOB8f3aRF0oh5y4B+/eRWiShb3rW8uT1+6jmm+Mhscb6IWU+lDyvRhx9+qLjFpqCgoOsqefVqVXXTJw93dw6Tn3Vp2aIFTeCVnlKlSlH6dOmtJnRkcyqjiZOWMKZ6z58/R++XLKm/WylDeydaGXEtW8uPKwiAAAiAAAiAQNIiAOdjO71PTTnIli3Cv0BbObCHQ7LM9opJSFs2SdGUAmvN7sOmMOnSpaUqlSvzgPw4de7SRSkEWvotW/wpf/58VJcVguPHTyjTJC3uxEl+HjGK/LdspQrly1P4i3A1G756zWoSm/ucOXKqpIULFaLSpUsrXwYJHzt+PC3hmenixYuSq6sb9enbh/bt26fSBt0IUnG9+vQhYVOtShUTpUCr2/x6NfAqFSpY0DxYf44pXk9o483t27fp8D+HqQz3Kzbi4ZFdmer8PG+e8hGwNe9XHTooxWv6tBm2ZjFJF1O9RYoUoW3bt9NfrODFVmIqO7blIT0IgAAIgAAIgMC7QQArBnZ8T6IcDBk8mHr07KlKFeVg2ozpNJr9At5EbnA5IrnYjyAm6cqKwCcff6ySvceDw/Y8AA0MDCRPT081oz1+3Di9iDyeuVX8bV49MDos+/iMIec0aahZ06Y0xmcszZ+/kJo0bkLe3rXIZ9xYKs9KQ/FixVQ5p8+coU1sC6/ZrktgcPB9+mPlSpUu4jmYfMaMpsqVKqs8Mf0RPwYpU2zpLUlM8ZbyWAqb6OtLM2fNoidPnnCbg6lOnTrUtk0bS0mthslqxjhm8t3331Pd+vVJVgJklUbMd6ITyTdwQH8SRa5mrVpRZvO1vFf53TVr3kJ7VNc/VvyulKvo6m3RvDlduniJ+g0YoMyzPvv0U+XjIKtMmsS1bC0/riAAAiAAAiAAAkmLwL+jhKTVr7fSG1kd+HH0aL1udzYp6dGtu/4c1xunyJ1kZAAbk5QsUVJPkj9/fnUfzLv9eEaGXrlyhQ4dOkRiB//wwUMVGsKDYk0xKFqsqFIKIpMrUxdxChabdksScD5ABfv5rSc/Wq/uAwIuUEBARLiWp2KFitpttNfAwGvUp09fttdvH8XpVzLGFC8rGOvWRZggSXovrwJU0MrKQ/OmzdTKxxN2dr5w8aJSEtx5VaMj+3LERsRkZ+WKFWqGftny32nFH3/Q8GHDlAlWdOWUK1dOmXL5sGnVr4tN/Qi0fBkzZqTvv/9Oe1RXbdUounrFdGjw4EH08ccf0co/V9EwdkReufJPGs9KTNq0aVU5cS3bpDF4AAEQAAEQAAEQSDIEoBjY6VWKUqA5IEuRohRMmzLVZNvKuFblytuPys4yly9dolLvvx9tMS4u1u3V/bdsUQPEFjwDLYNlmT322xAxmNcKFcdWo2Rh+3sR8U8w3z5UwmXrTpGcOSPMjLT7OnVqq3D5IwNQS3n1BJE3wrDnN99QPTZz6vBle/NodU5EdPGSQRSDHTt36nllgGxNMciTNw+VKFFcpZVVkLRpnWnc+AnU7gtxIo74pxFiwak7jHdRSpHq361NpQCppy6vONT29iZZiZg8ZQrV5J2JkiVLprfF0k2P7t2pRctW9BP7b2TlrVHNJR0P4kUBsCYx1SsrReJM3aJ5M/qYVw2ETcMGDVRxb1q2tTYhHARAAARAAARA4N0kAMXADu8tPpUCaZ4MLkuWLEFLly1jcx5v9iFIF6dWz5w5iweFDfVddzQ/AGNhl1j5kMG1NqCV7TXd2G9AzkrQVg1kNyRNvLy81K04QefOnVsLjvVV9vbv2q0bOwBXpF7f9NTr1wqKKV5LJ7PpEyeM1x5jdQ0JiVByRAkSUx/p986du5S/hlaQsDnGvhniw2FJpP7y5cvRqtWr1ZkFMnCPTmRr1EGDBipTJNkuNa4SU73ybkRJuHfvfqyriKnsWBeIDCAAAiAAAiAAAomSABSDN3wtxgPOpCh7rhQYmyb768t2pf0HDKSP2rYhcS6VAazsElQmcmciY3pL965urhQcEkxyuNVVNtlZsDCq+UpQUBAtXLSYmjdrqnwTZs+eQ40bN1LFyWBZZv9379mjfAyk/iKFC6kB9OSpU0ns2MUx+QY7HD94+CjamW5j++QQru7slyHOyU2bNCFRTjTJxisvYaFh0caLP0Rc5P79e+oQs8ePH9NBNq9avHix8oOQfoq0atWSZvBuUHKIXDXedUhk1arVdO7cWfpu6BD1LCZTl/hcCem3Cx+SJvwWLFhE5cuVt7ibkMpk9kcUAn92yhZnYXHqNoocmHbRwEPiZNeja9euRVuvOIznz1dAnQchityu3TvV+RdG5+q4lm1sH+5BAARAAARAAASSDgEoBnZ8l/GlFEgT5bTbyWyisuS332gcnyUgzrIqnGe1Fy6YH2WGXUVG/klGEeYsnTt2Uqcj165bT8V05xn6u/fu8pLEv6k/KFOW9v61l+b8NEcFimnM15076wk6dexIY9mBefny5dSta1f6mA8Bm8EO1mPG+OhO15L4Gx7oiwmMtvKgF2Dh5p/Dh9WAWgbVX7Rvb5JiIu94JEqGxFmLFzOguIjx8DCZTW/UqBH7F3TQi2rDu0CFh79QCsPceXNVeIkSJWjO/2bzeQB51HMoKy3jxo1Xh7JpGWWgL2c9GIUXfUzEnEvf3r3p4IGD5JDMdKOw23du02eff26SdxYrK69fvY623v37DyqzKC2jnFkwYthweu+9IloQxbVsvQDcgAAIgAAIgAAIJCkCyQoULfU6SfXIQmdWLl1IGTJkICcnJ2Xrbj4os5AlVkGy+9DU6dOVo7HsTBTfIuYsohikYjt3Z+cIR1Jb63z16hWJ3Xx6Nkcy7lAj+WXb0efPnqvZ8EePHnH5qSzOesv2qY9DQykDz5CLmYkmEi4DZTnLwBafAi3fu3CVk4Tl+zH3wdDaLvHh4eFqRcXIRIuPr2t09cr7kPg0vKIiv9hKdGXHtiykB4H4JnCSt1uuWNG2TQ7iuy0oHwRAAATeVQJYMbDDmxMTmDfdkjQ2zRDFJlOmTLHJoqeVQWsmNgeKSaLzYxC7+UwWbOclPCab+pjqTazx4gsQncQUH13eN4mLrl55F1myZIlz8dGVHedCkREEQAAEQAAEQCDREvh3ujfRNhENAwEQAAEQAAEQAAEQAAEQiG8CWDGIb8LvUPnNmjZhh+ZX71CL0VQQAAEQAAEQAAEQAAF7EYBiYC+SSaAcrwIRW48mga6gCyAAAiAAAiAAAiAAArEkAFOiWAJDchAAARAAARAAARAAARBIigSgGCTFt4o+gQAIgAAIgAAIgAAIgEAsCUAxiCUwJAcBEAABEAABEAABEACBpEgAikFSfKvoEwiAAAiAAAiAAAiAAAjEkgAUg1gCQ3IQAAEQAAEQAAEQAAEQSIoEoBgkxbeKPoEACIAACIAACIAACIBALAlAMYglMCQHARAAARAAARAAARAAgaRIAIpBUnyr6BMIgAAIgAAIgAAIgAAIxJIAFINYAkNyEAABEAABEAABEAABEEiKBKAYJMW3ij6BAAiAAAiAAAiAAAiAQCwJQDGIJTAkBwEQAAEQAAEQAAEQAIGkSACKQVJ8q+gTCIAACIAACIAACIAACMSSABSDWAJDchAAARAAARAAARAAARBIigSgGCTFt4o+gQAIgAAIgAAIgAAIgEAsCUAxiCUwJAcBEAABEAABEAABEACBpEgAikFSfKvoEwiAAAiAAAiAAAiAAAjEkgAUg1gCQ3IQAAEQAAEQAAEQAAEQSIoEoBgkxbeKPoEACIAACIAACIAACIBALAlAMYglMCQHARAAARAAARAAARAAgaRIAIpBUnyr6BMIgAAIgAAIgAAIgAAIxJIAFINYAkNyEAABEAABEAABEAABEEiKBKAYJMW3ij6BAAiAAAiAAAiAAAiAQCwJQDGIJTBLyW/cuEmDhw4luUJAAARAAARAAARAAARA4F0k4PguNjoxtTk4OIS69+xBN2/epLNnz9L0qdPI3T1bvDbxfnAwBV4NJCen1JQ9e3ZydnYmCRs4aBCNGjmS3Fxd47X++Co8JCSErl69SunTu1DOnDnIwcEhSlUvX76ka9ev0907dylbtqyq/1ESxSLg1atX6t3dun2bXNKno1y5cpOjo+k/C6nzwsUL5JDcgfLkyUPJk5vq0+Hh4XTr1i1+H06UOXPmKLVLHUFBQZQqVWpydc2i4u/fv09hYWHk5uZGKVOmjJLnwYMH9OjRI8qSJQulTp2aXr9+Tde535bSP3z0kJ4/e67SSkFBN26Qc5o05OLiYlLu8+fP6c6dOzozrd0eHh4k7KU9lkTegzDImCmTKteYRup+EvaEsmbNagwmrWwtULgIH0si7X3F5RtF+pwyVUp6+uSp6rMxTu6FTWhoKH8D2VR/LeUXdlo7pI/m7828TOEbEvKAChTIb/GdaO1MliyZeifm7zo09DHJ/x5kyJCB0qZNa148PXnyhO7du0fpXdJT+nTpVbxWpjGx9N3YdkvspP/Pnj1T6SyVoZXn7JyWMmbMoD3iCgIgAAIgAALREjAdAUWbFJExERDlQJSE+FIORPEYMWoUXb582aQpvhN9yTN3Ljp58iQPEJ+ZxNn74fiJE5Qjew67DjZCeUA6lRWqdX7rKI1TGgp7EkYykPOdMFEpCFoftmzdSmPHjlPxnp6eVLZMGer1zTdadKyv/lu20Lhx41V5Wr1y/X35MjW4k4HX2PHjafeu3SqNVCDxDRrUp549eugDzUuXL1H7Lzswk4y0+s8/oyg0+/fvp779+lHhQoXp55/mqHaOnziRdu3aRYMGDqSGDRpEaXuvPn3p3LmzJO+23AdledAeSm0++ohmzZhBxYsXN0m/dOlvdOb0GZo0yVeFt2rdmpVDN1q8eJHJQP78+QDq9HVn2r1zp2q71u41q1bRBF9f1R6TgiMfpCwZnIrCO3LECD2JKDxdunaj4sWK0YD+/fVwudHKNgbmy5ePKleqRF+2b2/CSNprLqVLl6Z6devRqB9H0eZNm0z6IWnH8Xt5zIrBJOZoLf/UyZP1dkgfzQfyWp0LFy2m5b8v50F9sP79lS9Xnn74/jtWUiMG8JLWvB7pzycff0J1anurojZyO30nTaa6derSd0OHaMXr1/kLFtDiX3+lLz7/nDp17KjCzcuUQOm7se3VqlajH0eN1MuRmzVr19Lf/F1JOktlaIkbNmjI39gA7RFXEAABEAABEIiWABSDaPHEHCmzcaIIaKsG8aUcXLhwgb786iuSQYLvhAlqhvbFixd0+MgRKla0KMkMc0LIeK7727597aoYOPAMfHKH5LRw/nySwZa2CjPn559o5PDhqlsHDh6kH4YNo/79vqVaNWvyKknUGdnY9H/NmjVq0P9Vh6+oZYvmlC5dOp6BfkwnTp5WSoHM0PuMHUt79uylMaNHU9Gi71GKFCnoyNFj3I4fePY/FXX5+muTKmVgefDQP2ogb4xYu87P+GhyLwM8c8VA3rUoBW8it+/cpjlz5lDvXr1sKmYUD/hlVUDk57lzmcNJmszKgojMtItC2J2VoU/OnKFChQqp8K3btikldbLvJPVs6Y8MyEVhCrx2jU6dOk2+XObVwED64bvvTFZmhv3wA1WtUkUvQlYpZIZd5K+//iLvWrX0OJkt37Z9O30/9Ds9zFJ+PTKaG/kOZs+ZTQMHDOT6KytF4Bq3VRTwgYMHKwbGFR1ZkRPl5nxAAEneESNH8CpTTlb6IphIVRs3bWSFtaf6prSqZeVi5co/tUeTa0xt37FzB8lP/u1bkh38HuR7FencpStV/vBD+vTTT9SzpVU3FYE/IAACIAACIGCBgKlNhIUECIqZgMykinIgZg0imnJgT5+D6TNnkpdXQZ6xHa6bbYjJi8yai+mBJmIOIbOWvXnwPnnKFGV+osXJwG/TZn8aPXoM9e7dh+b89BPJIEgTv/UbaPee3WrA059nsofwwEtm6UXEDGXmrFkkg9ZfeAAvZchgXURm1v/kAaCkHztuHM9kHlDh8ufkyVO0ZOlSCuCB1HAefPbkgerTp0/1eLmR9g/gGXVRCkRE2fKu5U1neBCqyezZc6hpkybUpHGTN1YKRAGYNn0GfdS2LbVv94U+gBNlQ2bnRf755zBt9venCTwzXaZMadVGGWSVLvU+DWY2MvMbGPgvO8lTp04d2rhxg9zqIiZDMqiTWWRzqe3trVZ5Ll++YhIl70Hi3kTatmlDK/74g44dP25TMdI3GQDLTxQB+ba0Z7l/v2RJqlihAsl7EJGB7syZs6jdF1/o5lHWKpLycufKxSsAdXhlaApt44Hs9h07TJIb65N6pT1ijlOrZi1muskk7a7de9RzpcqV9HBL+fVIKzfyHcqKUKeOnahRwwb66kCOHDnIZ8wYOnr0KPn7b4mSW+oSRaBrly4q7vixY3qaUu+XUoqQef/2/b2PUqVORR+Uifi+9Ax8E1PbW7ZoQRN45UjMtiyJKKzauxIl28Hw7qAYWCKGMBAAARAAAWsEoBhYIxPL8PhUDmRQLuYobdnkIiY76T7ffssD3bRUpXJlOnrsOM8gdtFngqVLW7b4U/78+ahuvXp0/PgJNTOqdfXESX4eMYr8t2ylCuXLU/iLcDVLv3rNajUjmTNHTpVUBkVi7iC+DDJTKYMrGfwXL16UB4lu1KdvH9q3b59KG3QjSMX16tNHKU7VeFbYqMhodZtfrwZepUIFC6pgGRCdPnOaavGs8TEehMls8RX2RYirnGOTGjFXatG8hdUiAi6cVwO8EiVMzXYkQ3lmIyZFARcCPelwagAAQABJREFUTPLX4cG8KBPGAZw/8y5erDj7JniapJUH8WcoUaKEmmHWIuVdr+VVhPr162tBcbpWqVyFqjDrMTzAFcXNHtKFzZD2HzxAh1hpWufnR48fP1bKVWzKlm9HeJzgFQhbpE6d2iSDalGwNNnCjEUJEz+KNxHNJK9mjepRisnEqxzC7+y5c1HitAAZjIs48bdglObNmrNyvdYYRLJq1LRJU15+SWYSbsvDVx06UArHFDR92gxbkiMNCIAACIAACMSZABSDOKOLmlGUgyFsfqCJrBxMmzFde4zz9QaXI5Ird64Yy5BZzI5sctSsaVMaNKC/spsOZNMNEZk9HM8z+q1ZwRC76B7du6kZ69vskGoUH58xKv84Hx82c2lI8+cvVKYz3t4R5hwyMJYBW+7cuekM+z1sYttqsYFu07oN24+3o+bNmtEfK1fqRYqJzYD+/ahzp07UvHlzPdzajZitSJmtWrZUSYSjyAS2J1dKyJKl9PEnn9Cs//1Phcf2z7Vr11WWrFndrGY9dy6AnVALWIwX5czdw51XTy6axJfkWXWxx9+2bbsKF6Vp1arV1LBhQ93Uw5hB4hs1bKQG2WIWJrJn7141U17q/feNSWN9//LVS+rbuzfdvXuPFi5aFOv8ljLkzZuPGtSrT1N41n/uvHn09dedLDrZWsprDCtY0ItXMkwVA1mBasaKmvZbGfn9yIqYKGE72C9C5O7du0o5qW0wLZJwa/klzppo78/d3d1ikpy8cnD+/HmTuMePQ9mB+64yrfqOzZ+kbRUqlNfTCPfa/O9EFNmLFyO+D0m/l99rXf43Q68iTH70DHwTU9tFkR7I/5b9Nqw3WY0zloF7EAABEAABELAHAUd7FIIyIgiI6dCPbI+uiQw4enTrrj3G+eoUaSqk2VxHV1DJEiX16Pz586v7YN5xxjMy9MqVK3To0CG1k8vDBxGmCSE8cNd2MiparKjJTGypUqWUU7C5+Y9WSQDPvov4+a0nP1qv7gMCLijTIfUQ+adihYrGR6v3gYHXqA873rZv1153sn0SFmF6JGYlYvojsmv3bhrESlgjHnSL6YcmMtheZ7Dp9/IqQAUjVx60NLKbk4iYw4ivgCURk4wX4RGDdUvxlt6FKAyNGzem1TxbLGZPYqcv9vTVqlVl+/J/FSVjeVXYrl0cbPcfOKBMddauW6fKiGllyFiGtXvZ2aYXm26NHjOaqlb9137fWnpbwjt0+JKas8ImCpAoNXEReUcZDE69UkZbNusqxWZamrhHmuWJmUz9+vVoPZtXicIpCoIMxsuwwmAUa/mNaaLc8+5CImJiZ8nkRnY9MhefsT4qSNog/1bENEo4G0W+RzEpEmdkUdQ3bd6kno3fqTG9LW0vV64c1edVPh9W1n9lp3IICIAACIAACMQHASgGdqIqSoHmgCxFilIwbcpUu2xd6somOzIQuXzpEg8w/h08WWq6C2+FaE1kF55h7MwrJjQyWBbbZpmFNIoMxIySJXL7TWuDJ81sJmfOCDMjySv3sqKgiTifWhp4afHaVRj25F2G6vEAqMOX7bVg3nYzok9NmjTWw8TeXUScQI0DLhl0arPLEi/mHuaKQV7eclREVlI05UkFGP548Daw5nbiWrQoSbL9qGwVay6yEvPz3J+VL8b69evVikt0Ji8SJ6syoljl8cyjTMb6f9vPvFjmF/FPNcSCk7lsM5qCt/a0JPXr1SUxvRnjM4769LbNEdlSOVqYbEsqdvL52BxNM6XR4my9nmbfkfIflDNJnjdvHuXHYBIY+VDbu7bylxB/GPG/aNSokYnjsiSLLr+lMiUsO+98JSLv0tPTU90b/1y8eIlk1cAogwcNpuqs6KWJwYxJHMplhUvMgFazk/JXvGuVNbG17T26d6cWLVvRT+wcnpW3uYWAAAiAAAiAgL0JwJTIDkTjUymQ5sm+6SVLlqCly5ap/dvj2mRxFpVBqAwQG/AsrOzbby6XWPmQwbUmsu2kzA7LWQmaaGYv8uzl5aWCxeRDnCS1n8yYx0bkHICu3brRhx9WVDu6SJ810fbI12zCJVwzfzKfrZWZ9okTxus/o4KilacpMQvYxMbYVy1erhXKl1N+COKsbS7iaC1SunQp8yi1zar4Xyz/fYXaUrIhO7XGJDITLA7Ki39drAbdYpJmLmJOIu9h585dJlHSfjHLka1QLYlw7MdmXLLL0fLff7eUJNZhydkkLa4rGtJP2VZXfCtslSJFCqu+L/3tN9WPWrVq2po12nRi0iRK67Lly6OkE3O2Y8ePqe/RGJkmjVOMSoGkr1y5kvp+ps+YqRQPWRl6U5GtUwcNGkjLub3CEAICIAACIAAC9iaAFYM3JKptranZwdtzpcDYtH7sVCzblfbnbRU/atuGihQpokwgZJcgc7MKYz7jvaubKwWHBKttOa+yyc6ChVFNEmT2VPZ1b96sqZpRl11oGjeOMBmRwakMpHbv2aP2rpdVhCKFC6lB2+SpU+mzTz9Vu7XcYIfjBw8fWZ0BNrZJ7sUGu3vPnso5WRQKUU40ycYrLzKrLv4LE3mryx95u0hZ6fhl/gK1ilIg0lxKS2/LVVZF5HwAcZKWlRjZAUgcsmU2/iYftiVmG7LKIDsJyXaUcoaAmFS9ZGfsfX/vpxm8Q1SH9l9yv10tVtegfoOIbSx55aToe+9ZTGMMLMYmKXJuw6rVq2nEsOHGKJP7Vq1aqrplpULMk0TEh0EG/Zb2zdcyezBDUQZlt6qEFjl8S7bSvcmK3759f7PvyR+qLeZKlSiGFw3vPQ0fhqbt8iXKjawSzJ03V3Eybg2q9Se6/JJGypZD3DSR7zgTH9j2defOvJrio3amqla1Kn/fmZSDu/gGifIiDshxEVlRaMxtlv6Kv4+1w92k7Jjabqy/RvXq5M9tEgd8UUAhIAACIAACIGBPAlAM7EgzvpQCaaKceCv7yi/hWdNxfJaAOPSqcJ5FXrhgvlpVUAH/z95ZwFlVfHH80J3CIr3U0g1KSKg0KKUIKEjzl+5WUrobFCQlBAQkREKQUBEMSqW7ZakllvrPb3bncd/b9zbf7r6F3/l8du+9c6fudxadM3POGSe/YknA6nvb1m306chVqlXXuTqoFfrr/11XWxLPC8FMZPee3SqU6WydiEkzJk9GcDATQpJi1bJ9u3bSWB26NU1NokaMGCkd1eTeSGd1jxCX1pV/887x+vsff+hVVSglH6vDr6wyTkU8grNzm9atxE9FwfmwSRP9GqFNZ86YHqoIR9b6zD3Ckg5XseoRXadTl84mWcWoL6cVAyT079dXvL2zygKlQMEsBJJFTfb79emrDznTCZZf5lvLq9ViCPwNTBquOKvBKuYdVt9hr79Q7WC88UZZaxa7+w+U0/ijR4/VwWWL9CQZLzF5nT1zlhjzKFPA1G2e69apq0PVOltpdszr+GzqCM/1f8rGHoLxwnkbY9TZEGXKBPU3mTJ1ql31+Ds0B7bhxdtvv6W/GUqXs/6FVL6LcsS2CnxYWil/CZj8IALRTHXmw+Kvv9ZZoDRgFwdmQI5tqWEMVnA6thGYxOGcCrsIUyoqkWOdIfXdMT+cyvf9tk/ixLL/ezLt8koCJEACJEAC4SUQK1eBYs/tRsJbi4eXW7VkgT60Cqt2sHV3/B9tRLuP3YLJamIDR2NnZiARrd+xPMxHoBgkUHblYT3oC6fVYmU8uTrQCyvvVkHEH/+H/nr1GYdIwTHXmR05Qmri1NmUKVLYmZQg3c/vnooHnyxUPgXWtkN7jzbgNGw1bQptWVf5YBqFVW3U6SqUKhxRMYEPbuXXVf2RkX779m3dF0efkMho62WpE39bCO2Kw+4oMY/AYRVu2ZnSGfO+hD0mARIggegjYD8zjL5+xOiWYfKA1eeoEig2MIMIj2ByixXSkCS4yRGUhdTqx1GQ7kyRcMwXkefIaAMK0iuBTtau+uZORcRVG2FJh705xb0EIuNvy709ZG0kQAIkQAIkELkEuBcduXxZOwmQAAmQAAmQAAmQAAnECALcMYgRwxQ1naxbp7ZyaH4aNY2xFRIgARIgARIgARIgAY8iQMXAo4Yjejvjkysg9Gj09oKtkwAJkAAJkAAJkAAJRAcBmhJFB3W2SQIkQAIkQAIkQAIkQAIeRoCKgYcNCLtDAiRAAiRAAiRAAiRAAtFBgIpBdFBnmyRAAiRAAiRAAiRAAiTgYQSoGHjYgLA7JEACJEACJEACJEACJBAdBKgYRAd1tkkCJEACJEACJEACJEACHkaAioGHDQi7QwIkQAIkQAIkQAIkQALRQYCKQXRQZ5skQAIkQAIkQAIkQAIk4GEEqBh42ICwOyRAAiRAAiRAAiRAAiQQHQSoGEQHdbZJAiRAAiRAAiRAAiRAAh5GgIqBhw0Iu0MCJEACJEACJEACJEAC0UGAikF0UGebJEACJEACJEACJEACJOBhBKgYeNiAsDskQAIkQAIkQAIkQAIkEB0EqBhEB3W2SQIkQAIkQAIkQAIkQAIeRoCKgYcNCLtDAiRAAiRAAiRAAiRAAtFBgIpBdFBnmyRAAiRAAiRAAiRAAiTgYQSoGHjYgLA7JEACJEACJEACJEACJBAdBKgYRAd1tkkCJEACJEACJEACJEACHkaAioGHDQi7QwIkQAIkQAIkQAIkQALRQYCKQXRQZ5skQAIkQAIkQAIkQAIk4GEEqBh42ICwOyRAAiRAAiRAAiRAAiQQHQSoGEQHdbZJAiRAAiRAAiRAAiRAAh5GgIqBGwbk0qXL0m/AAMGVQgIkQAIkQAIkQAIkQAIxkQAVgwiOmq/vTenQqaPs2LFDX6kcRBAoi5MACZAACZAACZAACUQLASoGbsR++fLlKFEObvj6yl9/HZCjR4+Kn5+f/gKktfnf/+TqtWtu/KKorer27dty8NAhOXP2rMuGT58+E+x7lwVdvHj69KlcvHhR/vjzTzl58oQ8fvw4SM4nT57I0WNH5cSJE4L8jvLgwQO5cOGCY7J+vnbtuty5c8f27uKlS3L+/Hn9c/36dXn27Jnt3Y0bN2zvTB5zxd+WkYcPH+r+HDh4kLtUBgqvJEACJEACJEACESYQN8I1vOQVpEqVUqZOnqIVAkzejHKAtPTpX3UrnX///VeGDBsmp0+ftqt3/Ljx4p01ixw+fFj81aQxMgUT90wZMwm+212CXZbRY8fI3r17JUOGDHqiniNHDhn02aeSPXsO3Qwm1N27d5ez587pZ29vb5kyaZKkTp063N3YvGWLjB49Ru7dvyeJEyW2Xb9ZvkxSpkwpmICPGjNGdv60U79DQ8hXs2YN6dSxo8SOHaBX/6mUiu49e8pOtWtk0kyn+vbrJ+XLl5emTT7SSe83aGBe6Svq69K5s65zzLhx8tNPP9m9Nw9eab3k21UrZcvWrTJw0CCTrK9vvfWWDB082C6NDyRAAiRAAiRAAiQQVgJUDMJKzEl+KACRrRxgtbpFq1ZSsUJFGT92rKRLl06vbmOlu2CBAnLr1i0nPXN/0hjVdg81QXenYpA8eVL1DQXl0/799UT/7t270rNXb1mydJn0VxNryJSpU5XSkFG+/GK2WmUX+XTgQJk6fbp8pnw7wiNr167Vk/5WLVvJe/XrSbJkydTuy105dPhvrRRgJX/kqFGya9duGTF8uBQokF/ixYsnf6qdmoGDBkqCBAnkE7VDEx4ZOmSIlC9XTs6ePSPrN2yU4SNHSLbs2WSYSsfuBOTLOXNUXw7LxPHj9TMUDuxMQClo3qy5+vlY4sSJI1CY7t59viOhM/MXCZAACZAACZAACYSDABWDcEBzViSylQNMgn18csvQIYNtq9Jx48aVkiVK6O4YxQAmLcu/WSHnzp+TrFmyyPvvvScZM2bUeTDp3LJ1m+zft0+uKZOjvPnySo3q1SVTpkz6PSapmKT73vCVXXv2SLy48eTNNytKpbffFn9/fz1ZhYLy1bx5kvaVNFK5SmXdPlbWN2zcKPv27Vflk0nFim/K66+V1HUePnxE/jrwl7xWsqQs/vpr+U+Zy4weOVISJkyo3+NXkiRJpUXzZrbnpEmTyhtvlJUVK1bqNJhJYSV99sxZOi8SmzdrJp+0aydd1Wo7JvVhESgAU6ZOk0YNG+oJtimLfph+//77H/LD5s0yXeUrXLiQySLFixWVfn36SM/evaVWzVqSOXMAO1uGUNzEihVLMHbYDWnVsqUsXbZMDqmdmHx58+rJPqqAIoA88ePHt9UIRQLyZsUKtnwZ0qdXKfihkAAJkAAJkAAJkEDECATYQkSsDpYOJADlwKxwIwlmRVOmTY0wH0zKYWbTUJmhOJqqOFberUcPNVFOqlek/zpwUNp+8oltFRp5t2zZLDlz5pBqSiE4ePCQNk0ydRw6rJ6HDJPNW7ZK6VKl5NHjR3qFes3aNdoWPnOmzDpr3jx5pHjx4uKVNq1Oh7nN10uWSKFCBSStMnnp1r2b/PLLLzrvxUsX9bsu3brJq6++KhWVWY1VKTBtW69YBV+3bp0ywSmnk68H+k14Z/O2ZcueLZu+v3r1qi0ttDdHjx3XpkH169V3WeT4iWNqVySVnVJgMpdSbGACdPzEcZMU7quvUnogoTGJwo4J2v1y7lw7v4VwN86CJEACJEACJEACJGAhwB0DC4yI3sJW/nNldmIkvVrN7di+g3kM9/VSoONpFuVHEJK0U4rAh40b62z58+WT5mpF+pyyy4dNPkxPxowebasim3dW/R4Oy5jkGxmpTFuSJE4sdevUkREjR8m8eQuk9ru1pXLlSjJy9CjBxLhQwYI6+9///CObNm2Sr+bOEZ9cPjrN1/eGrFy1SudDAia/I0cMl3JvBEz0dSYnv7oqE6XTp04rB+qrUqd2bWmvdgQgeIagT0aSJEmib68oxQD+CGGR8+cDHIXTpfNyWezo0eOSK1cup++hnKXPkF45I59Uq/cVneYJLvEfxQymSMeUgrJ121bJkjmzlHr99eCK6HdQqEYr/p9+9plUq1FDmUDV1ztCZscnxAqYgQRIgARIgARIgASCIUDFIBg4YXkFpQBhS030GCgFUyZNdosDcqJAs5v79++H2KUihYvY8uTMmVPf+968Kd6BqWfOnJH9+/dr2/Tbt27r1Jtq4m4UgwIFC9hNwIsVKybr1q/T9u2BVdhdjqvJLWT9+g2yXjbo++PHT8jx4/ar6WVKl9HvgvvVuFEj7Stx5sxZWbp0qTJLSi5t27TRJk0oB7t/mOGY+8AbfTG/kGfduvXmUZlf5ZLcuXPbnnGTKFGAGdOjR4/0BN3uZeBDHDX5f/zosbNXOi00Y+Gq8A8/bJaf1Y7KpYuXJJNSCmZ8Od2OuatySC9apIisWrFCtv34oyxb/o2sWLlSBg8apM29givHdyRAAiRAAiRAAiQQEgEqBiERCsX7yFQK0HxatZoPE5LTp05JsaJFg+1RihTJXb5HFJ5BKnoNTGgwWYYN+/qNAZN5UwgOtlZJ88or+hH+CdhxcJTbdwKUi8xqgmsE91WrVjGP2iTHWVlbhsAb4y+Bx/zK/wGRfuAHkC5dQHQnOCUbfwITAjRFCvvoSFAMtqvoQEZgo++oGBgzJOykGOXJ5DfXDMov48ft282j3RVOwAhxanw34ipfDAjCrSKakVXgz5AggT3TTkqBxE7DHuXHAV+FCxfO23ZbrGVd3eObqlWtKlUqV5Zxyjl5oorO9LaKTGSUJlflmE4CJEACJEACJEACwRGgj0FwdELxzhxwFhk7BaZ5TPiKFCksS5STqpkQm3dhuU6fPkM7zHbr2kVq1qguKZSjsKOcUsoHJtdGTp0+pXYTvJTTb4DpDtKtsf59fALMhzCph2mL+YEpkDsEux3G5AfhWI0cPnJE32bOkskk6SvMfMap0Kfmx6qgmIxGiZm/cKHdt5r3uJYu9br2Q9ikVvcd5dvVq3VS8eLF9DVDxgz6umv3brusUBQQXhVO486kTJkyyoSolIxV4WadnY/grIw1Dd9aSvUTplrY/aCQAAmQAAmQAAmQQEQIUDGICD2Hsu40H3KoWnoqp2KYr/Tq3UdH6MHhWFeuXNGrznBODo2k9Uorvjd9dVhO+AbMX7AwSDGshC9YuEgrIEfU5HvWrNny1ltv6nywcYdD7s5du7RygGhE+fLm0YrDxMmT5fc//tB9xEFhCKMaWsFhbdt3bBdEH/K7d09+3fubzJ03T59pgMhKiRIlko8+/FBmffGlNlHCYWMzZ82St958U5Inc71D4qp97Irg7Idt27apkKSjlWnV7wEmTOpgtV9//VUXwy5DtarVZMjQIQJFAIeu4bvgZD112jRp2byFzfwKkYHKlC4tc+bMldVr1mhzMkRj6t2nr/btgLO2K8HuARQeRIQKSWCehV0fHHoGBRHnWsyfv1ArF9boRSHVw/ckQAIkQAIkQAIk4IwATYmcUQlDGuL5T5syRSarOPtwNEZkosgQLy8vHdP+a2V7P1qdJWCi2WA1f8H8ecGakcSSALv8tq3bSJ++faVKteq6ix3at5fr/12XwNc67bUSJWX3nt0yW50XAIG5yv/attX3+NWmdWsZpRyYly9frp2D4RcwTUVeGjFipHTs1MmWr7O6hz18aMxb/B/5y6RJU2xOxjCbKqrCgiKuv5FmH38s16//Jx83b66TsNLeS5kahVcQlnS4Oixu3fr10qlLZ1s1cJB+PdARuH8/TOyzygKlQI1Vh49B4CjcT034cciZVQaoMxgmT5kqOOcBgm8oUbKEDP/88yBRmALdJHQ+KD5QeiYrxapihfI2Uyln3Pz87tkOZNOF1S8oRzhXgkICJEACJEACJEACESUQK1eBYs/tRiJam4eWX7Vkgbb9xsozbN2dTbo8tOtOuwVTHygGCRLEt8X1d5rRSSJMVm6qw9CSq9j/8DGwCsKO+j/0l08H9Ncr0oic42wlGjsUd/38JGWKFHbhU5GOySvOMgiNT4G1bdzDHt/f/7EaqxQuxwht4BtCCnnqWHdwzzCNwjkQMJdyVa+f+l6Y7uBvKDhB324pp+7gviG48qF5BxMlmA5h9wZ9opAACYjaeTskMM+jkAAJkAAJhJ+A/cww/PWwZBQSgGITmrj3zrqEiWRqNaEMSYyTr7N8UBZSqx9HQbozRcIxn6tnHDBmcWVwmi0i9TutUCVCQXol0MnaVR6rj4WrPEgHX3eeCu2sLURropAACZAACZAACZCAuwlwudHdRFkfCZAACZAACZAACZAACcRAAtwxiIGDFlldrluntjol+WlkVc96SYAESIAESIAESIAEPJgAFQMPHpyo7po5uTiq22V7JEACJEACJEACJEAC0U+ApkTRPwbsAQmQAAmQAAmQAAmQAAlEOwEqBtE+BOwACZAACZAACZAACZAACUQ/ASoG0T8G7AEJkAAJkAAJkAAJkAAJRDsBKgbRPgTsAAmQAAmQAAmQAAmQAAlEPwEqBtE/BuwBCZAACZAACZAACZAACUQ7ASoG0T4E7AAJkAAJkAAJkAAJkAAJRD8BKgbRPwbsAQmQAAmQAAmQAAmQAAlEOwEqBtE+BOwACZAACZAACZAACZAACUQ/ASoG0T8G7AEJkAAJkAAJkAAJkAAJRDsBKgbRPgTsAAmQAAmQAAmQAAmQAAlEPwEqBtE/BuwBCZAACZAACZAACZAACUQ7ASoG0T4E7AAJkAAJkAAJkAAJkAAJRD8BKgbRPwbsAQmQAAmQAAmQAAmQAAlEOwEqBtE+BOwACZAACZAACZAACZAACUQ/ASoG0T8G7AEJkAAJkAAJkAAJkAAJRDsBKgbRPgTsAAmQAAmQAAmQAAmQAAlEPwEqBtE/BuwBCZAACZAACZAACZAACUQ7ASoG0T4E7AAJkAAJkAAJkAAJkAAJRD8BKgbRPwbsAQmQAAmQAAmQAAmQAAlEOwEqBtE+BOwACZAACZAACZAACZAACUQ/ASoG0T8G7AEJkAAJkAAJkAAJkAAJRDsBKgZuGIJLly5LvwEDBFcKCZAACZAACZAACZAACcREAlQMIjhqvr43pUOnjrJjxw59pXIQQaAsTgIkQAIkQAIkQAIkEC0E4kZLqy9oo5cvX9bKwdTJUyR9+lcj7Stv+PrKubPnJFGihJIxY0ZJkiSJIK1P374ybOhQ8UqbNtLajsyKb9++LWfOnpXkyZNL1ixZgjR18+ZNOavfp5DMmTNJnDhxguQJbcLFS5fk6ZMnOnuyZMkkRYoUToveuHFD7t27p9/FjRtX0iq21nYfPHgg//33nx4HxwquXbsuCRMmENTvKCh34sRJiRU7lryaLp2kTp3aMYt+fvTokVy5ckXfx4oVS9WXUFKmTGnXB5MnQ4YMEjt2UF0f34A+O/vG4Prhqpz1m618HD8AvF591fW/g1u3bsmdO3ckU6ZMdkXN9yDR1TdbC0AZjxcvrqRJk8aW7Od3V6C0u5L06dPLgwf3nebx8vKS+PHji/k28+xYl+k/2sW4WPttzQvu+BswfXI2TtevX5cECRLoesx4W+sw96nU30mSxInNI68kQAIkQAIk4FYCVAwiiDNVqpQCRQC7BlAMIlM5+Pfff2XIsGFy+vRpu16PHzdevLNmkcOHD4v/w4d279z9cPDQIcmUMZPgu90lmNiNHjtG9u7dK5g0Xbx4UXLkyCGDPvtUsmfPIX5qYj5ZMV63fp0kTpRY7t2/p/ONHztOKwjh6cf7DRrYFfNK6yUlShSXdp+0s/u2MePGyU8//WSXt4Eq+0nbtnry+Oeff0r3nj1lp9oxcpyU9+3XT8qXLy9Nm3xkK//7H3/IzFmz9FjZEtVNndq1pWePHtYkfX/q9Clp3qKlXToY1K9fT9q0bq3bNHnWrl4tr7zyil1ePOAb0qZJK926drG9C00/nJVDBX8dOCjduneTn7Zv13U78jGNgOm3q1aaxyDXsePHy7Zt2+T7DRvslCfzPdYCjt9s3j1+/Fhat22jlKtX5csvZptk2bTpBxk3YYLt2fHmm+XL5eef98j4CRMdX8mMadOkUKFCtm/r26eP1KpZM0i+Lt26y9Gj/wr+/b3+Wklx1m8UatO6jXzctIl8v2mTbq97165Sr149u/pGjByl2yxbprR83Ly53Tvrw2cDPpWqVatYk3hPAiRAAiRAAm4jQMXADSixOxDZysGJEyekRatWUrFCRRk/dqykU6vMmBT9oSamBQsUEKxeRoWMUW336N7dbvIc0XaTJ0+qvqGgfNq/v145v3v3rvTs1VuWLF0m/dXkOo5aBY8dJ7YsmDdPKwzGfGv2l1/I0MGDw908dlferFhRsLJ/7PgxPWFv176dTJk82W71uX69+tKlcye1cn9VMKEePmK43pVp1LBhmNr+88+/pGOnTlK3Th3p06uXeHt76/LHjx9XS+PBV4VJf6pUqbTStO3H7TJr9izJnTu37n/wJYO+jUg/HGsbNmSIPAnceflyzhw5pJTTiWrCD3FUlKxlMYZQCjDh36quUIwcJTTf/Ouvv8rDBw/l73/+lpMnTypFMruupo5iXKtWLX2/97e90rtPX9m6ebOtT9gRgEARXbxwob43v+LFi2du9XXtd98FUQzw7xFKgTNZsfwbpaA93wHCzolVoLCULl3G6a4iFOIft27V2bFTVfOdd2Siyl9YKSoQx7p0In+RAAmQAAmQgJsIBLU7cFPFL1s1RjkwphNm58BdPgdTp08XH5/cMnTIYK0UgC8mCSVLlNDmB4b3hQsX9KpkVzV5nzhpkuDZCCZwm37YLMOHj5CuXbvJ7C++kPPnz5vXsn7DRtm5a6esXbtWeqlV0v5qdXJL4CTF399fps+YocxfTshXaoKOOn7bt0+Xfah2Kb5VE1fkHzV6tPy69zdbnYcPH5GvlywRTH4Hq0lkpy5dlAnHA9t73CRJklRaNG9mM6dJmjSpvPFGWdm3b7/OBzON3mpVHpMmCHYrKleqLP/8849+juivtGnTSJnSpWWK4gWZ89VXQarEJBdjXLNGdSlevLj89deBIHmCS3j69KlSdnpJzeo1pHu3bnoCizrx4+PjIz65fIIrrt8hL8xuPmzcSD9jZyWs4o5+WNuEiRIm2fhB//A3aZ6Dm8Ru3vyDZMmcWZqrcV/17bfWKu3uQ/rmNWrSXrNmDSn1eim9Im8Ko5ytH3ECJuaY8Js0ky+upf/mHcyXjFSpXFnv7pw+fcYk6Sv+reCdM4kf/3k7qBN9MfJaiZL67xg7ZM+ePTPJtivaNv0wCkr8eAF8HeuyFeINCZAACZAACbiJwPP/Y7mpwpe5GkwcscJtBMrBlGlTzWO4r5iUw8ymoTJhsU4ynFXYTZmjJEuWVMqXK6dNPtp+8oltRRf5t2zZLDlz5pBq1avLwYOHtGmSqefQYfU8ZJhs3rJVSpcqJY8eP5KBgwbJmrVr9CQmc6bMOmvePHn05Bi+DJjcjBozRk/+CxUqoGzwvbSZyS+//KLzXrx0Ub/roibDUJoqKtMaTPSDE9j/r1u3TpnhlHOZ7ey5s5JHrZi7U2AL/vbbleRPtSvgSjCxhn+HdUXYVV5r+jmlgMEE6r3362u7eeu7sN5jlRwCc5ewijv7Eda2TX78zUCRfPfdd6XS229rZfPosaPmtdOrs2/GTs/u3bulSpUqUr16Nfn229WCfyvulCxZskrhwoWV0vG9rVq08Z1SSGrUqGFLC+3Nk2dPZYD6bwT+PX+vzJ0oJEACJEACJOBJBOz3uD2pZzGwL9gd+Hz4cFvP4eDYsX0H23N4by4pBQOSRfkRhCTtlCLwYePGOlv+fPmkecuWcu7cOW22gtXdMWpF30g276z6/dVr1+wclkeOHKEdHGHyAtvnefMWSO13a0vlypVk5OhRUkopDYUKFtTV/K1W7Tcp2+mv5s6xrXr7+t6QlatW6XzI5Ksco0cq85tyb7ie6CMfdjlOnzotV69d1aYl7du1Q3IQgZ8D2oQtuLsll1Kavpr3lXYUxU4G5JJSbqDoYBx27dqt+1e79rthavqfvwN2N7Jny24rB5Oey1cCxhar65gku5JWrdtIXOVge1OZ4EDBgJ06TMjCKmHtx0rlI7Bz5067ZmDqFRGBudFZ9TdZuVIlbbKFVfQNagXep7P9rklI37zph0161yFf3rySPVs2Gai4/Pzzz1KhQoVQdw/9qKtMxayycsU3NgUcSsw7td6RadOnSSv1bwnjtEspI9jVKla0qLWY7R4+AvHiPjdHGjH8c8mjlGkIzP+wQ9S0SRMZr0yu4JvgyvHcViFvSIAESIAESCCKCFAxcBNoKAXGARlVQimYMmmyUzvisDaZKHCF/f79+yEWLVK4iC1Pzpw59b2viubjHZh65swZ2b9/v2BV/vat2zr1ppq4m0hGBQoWsIt6UqxYMe3062j+E1idHD+m7OOVrF+/QdbLBn1//PgJbTqkHwJ/lVE21SFJ40aNtK/EmTNnZenSpTo6Uds2beyKnTt3Xropp8/mzZo7XTHHRG7duvW2Mj4+ubQtvi0hhJtnEmDeET9+AltOTOCvXL2qo9RAyVmmTKMcI+nYMru4iRM3jn6DHQcjv+37TZtjoU6YBQWnGMDHIUWKlIrPTe3nADt12MdDSQuLhLUfZcuWlQbvvW/XBOz54UAdXsH4wDH5wMGDuorUymEafz//Uw7d1t2k4L4ZHNcok7dsSiHY9uOPuh6Y2q39bl2YFAP4bXymnNyt4rgrh52rYZ8Pk72//aZNzr5Tu1nY7XDMZ+qAqRgiRxlBBC1H+bhpU22mN2HiRGUeOMTxNZ9JgARIgARIIFoIUDFwA/bIVArQPYTIhJPm6VOnXK5Sms9IkSK5uQ1y3bxliwxSzrpwpoXjKlY/128MmMybzMau2TynCYxyA/8E7Dg4yu07AcpFZmUvbgT31sgpmHw5K2vymyv8JYzkz5dXR/uBgy/Cl0LAuVPnzspspLq0bNHcZLW7QjHYriIEGYFdNr41tAKlplDBQir85fMVX7SHiD4IKVm7bl09QTSKQdzAlWGEWrVOBtEewlMmSBBQT65cuXQXsHtjfCVaK2dy/Py4fbsM+NR+curY3wJqd8BEHMKKOMLTLvvmmzArBmHtB6L9IFqTVZ5YlBtremju/fz8tKIJ/4J58+fbimAXBCvxVuUouG/+86+/tDKVKFEiWz2PlInPL8ohGOE+4ZwfGkmmVv6LFnmuTDsrg/CgtWrW0spLNu9s2gyoV4+ezrLqNOymmbFylQkK0IB+/aVdh/ZSWUW9iq3C1lJIgARIgARIILoJUDGI4AiYCDnwJ4C4c6fAdA0OiUWKFJYly5Ypc57KdqEdTZ7QXKdPn6EnOCZspfEDsJY9pZQPTK6NAyZCMGJ1F2clmF0DmEMYgVkEBJP6rFmzmmS3XbHbAcUAk7127dtL2bJldIQg0z/HhrCKO045doZHsIsCx+qWzVs4LY549TDVmjFjplRQvhKY/GXImEHnxaTWGtISigLMVLCKDcmsnIah3M39ap52IHe12qwzh+LXrXBGoXJ3P0LRVbssUILAYb7iDKXNyNBhn6vV/u/sFAPzzlyt34wdBpimwUTNCJRXKG6w3Ud4UHdKDaUcYhKfMmUKgekT/Inw7yQiUrhwIa2kj1aRvqBwUEiABEiABEggugnQ+diNIxAZSoHpHmLcw5SoV+8+Oq4+Vq8xWd6zZ0+oHS7TeqUV35u+eiUbvgHzFyw01duuMGlZsHCRPnjqyJEjMmvWbHnrrTf1e6xyYvV/565d2lYa0Yjy5c2jFYeJKsQnQnmijydPntBhVG2VhnCDCD/bd2zXq+A4swBRjeaqiSNMZXDQGZxMO6gwn3BeRlhLKC+IjoQf5A+v4GAyHKi2f//vsmjxYvn442ZqYlpJmgYzqXz/vfckpYqKNE1FaIJkUCZjiGg0Z85cWb1mjT7HApGYEB7T29tb4KgNgSIwfvw4/Z2DhwyVPcoWHqv+OLTNGhlKZ3byC0oLIkyhrzNmztTmYG8oMx+rnLRwARsc0OUoEe2HY31hfV69eo3AP8OqFKAORBaCiZs1iparb8YuFZyB36llf7YAdqXq1a0nq5Vjs9VkK7g+PlChTsHN+mMUYGu5gsrEDn+PGGMTBtX63nqPvylrfVaFxpoP923btNZJv//xu+MrPpMACZAACZBAlBPgjkEEkSN05rQpU2Ty1Kna0RgriZEhOH0V8eG/Vrb3WGGEXToEq/kL5s+zrfA7aztWYJD8tsqBFacjV6lWXWfroFbgr/933S6GPlZDd+/ZrUKZztZ5EJIRtt9GcKgWQpIuVwdEwTkYfgHTVOSlESNG6hj9Jl9nNZGHiYarlX2TD1f/R/4yadIU7dSLZ6woFy1WVBAjHwKFAwoLfhwPfxqnIiKF1c5eV6p+wb4bgglfgfz55ZNP/qecrN8NYvakNmxsggltVxVyFaFHa7/zropYU0gGqPMXJk+ZKjjjAYL+lyhZQoZ//rmdzTychSdPnKTDcw4cOEg7EZv8b70ZoHzpCpz8+p/aqTCSX/UVzsd11eq4VbqoNKvAD6NVy4DdD+s3hKUf1nKmbldmLyGNNSbL8E/o26e3qcp2LaIi/2Acfti8Re0Kldbprr557XdrNePXX3/dVt7cVK9WTebMnSMwNTLOwcH1C47uTZS9v1VmqNDAxrnelIVCBSfkherMA4TSDU5wVoVV2rZpazvkLk5se3M87MQhShEOyTNt2coGwnc2BrY8vCEBEiABEiABNxKIlatAsYjth7uxM5FV1aolC7T9N+yRsaoY5H/AkdVwJNULEwYoBgkSxNdnAISlGayk3lRmKMmTJdM+BtayCDvq/9BfPh3QX+8YJEiQIMjKLvIjXONdZSueUoX3tJrEIN3P754y/UkWZHJtbcfVPWzy/f0fa3ONmDhGYHtLOXTD3CSk/j8fwwSSWNmwh5TfFbOIpntKPyL6HSxPAodVuOUyZUIOckBSJEACJEACrglwx8A1G499g0lkeEMcYiKfWpkDhSTJlOLgSrBqntpiH27yId3RRMS8C80V4UHVAmqMFbDFDlJoJCJjGJr6Q5vHU/oR2v4yHwmQAAmQAAmQQOQRoI9B5LFlzSRAAiRAAiRAAiRAAiQQYwhwxyDGDFXkd7RundrqlOTncfYjv0W2QAIkQAIkQAIkQAIk4CkEqBh4ykh4QD98cgWEHvWArrALJEACJEACJEACJEACUUyApkRRDJzNkQAJkAAJkAAJkAAJkIAnEqBi4Imjwj6RAAmQAAmQAAmQAAmQQBQToGIQxcDZHAmQAAmQAAmQAAmQAAl4IgEqBp44KuwTCZAACZAACZAACZAACUQxASoGUQyczZEACZAACZAACZAACZCAJxKgYuCJo8I+kQAJkAAJkAAJkAAJkEAUE6BiEMXA2RwJkAAJkAAJkAAJkAAJeCIBKgaeOCrsEwmQAAmQAAmQAAmQAAlEMQEqBlEMnM2RAAmQAAmQAAmQAAmQgCcSoGLgiaPCPpEACZAACZAACZAACZBAFBOgYhDFwNkcCZAACZAACZAACZAACXgiASoGnjgq7BMJkAAJkAAJkAAJkAAJRDEBKgZRDJzNkQAJkAAJkAAJkAAJkIAnEqBi4Imjwj6RAAmQAAmQAAmQAAmQQBQToGIQxcDZHAmQAAmQAAmQAAmQAAl4IgEqBp44KuwTCZAACZAACZAACZAACUQxASoGUQyczZEACZAACZAACZAACZCAJxKgYuCJo8I+kQAJkAAJkAAJkAAJkEAUE6BiEMXA2RwJkAAJkAAJkAAJkAAJeCIBKgaeOCrsEwmQAAmQAAmQAAmQAAlEMQEqBlEMnM2RAAmQAAmQAAmQAAmQgCcSoGLghlG5dOmy9BswQHClkAAJkAAJkAAJkAAJkEBMJEDFIIKj5ut7Uzp06ig7duzQVyoHEQTK4iRAAiRAAiRAAiRAAtFCIG60tPqCNnr58mWtHEydPEXSp3810r7yhq+vnDt7ThIlSigZM2aUJEmSCNL69O0rw4YOFa+0aSOt7cis+Pbt23Lm7FlJnjy5ZM2SxWVTT548kRMnT0jGDAHf7jJjMC8uXrokT1U9VkmYMKGkSZNGHj16JFeuXJEMGTJI7NhBdefgylrrQz3nzp2VO3f85JVXUkumTJnEz++uQJl0JenTp5cHD+6rfPfEy8srSLZbt27J6dNnJHv2bJIsWbIg72/cuCGPHz92WvbChQuSVv1txI8f31bu2rXrcv7CefU3lFiyZM4iYEAhARIgARIgARJ4OQlQMYjguKdKlVKgCGDXAIpBZCoH//77rwwZNkxNDE/b9Xr8uPHinTWLHD58WPwfPrR75+6Hg4cOSaaMmQTf7S7BLsvosWNk7969ejJ+8eJFyZEjhwz67FM1Ac4RpJmFixbLF19+IWNGj5YypUsHeR+ahPcbNAiSrXjx4jJ54kQ5dfqUNG/RUtauXq0m9K8EyRdcWWSGQjD3q69kwcKFdmULFy4sld56S8ZNmGCXbn34Zvly+fnnPbJixUpZ8vXXtld7fv5Zpk2frsc+caLEcu/+PfHxyS09e3SXfHnz2vKNGTdOfvrpJ/lq7hzxyeVjS8dNg4YNZca0aVKoUCGBEjZw8GDN3NSHPM7KIZ1CAiRAAiRAAiTw4hOgYuCGMcbuQGQrBydOnJAWrVpJxQoVZfzYsZIuXTq9MvzHn39KwQIFBCvJUSFjVNs9und3q2KQPHlS9Q0F5dP+/SV16tRy9+5d6dmrtyxZukz69+tn91lH/v5bFi9ebJcW3odBAwdKhfLlbcXjxIljuw/pJriywz4fLnv27NG7N2XLlNEr9NiB+E+t5ufJnVtq1aqlq9/7217p3aevbN282bYzYV3NN304evSo4tFL3n/vPRkzapRWnu7cuSPTZ86Uzp27yPz58ySD2mmwCvow98svJW5c5//EV69ZK8eOHZNlS5bonQx/f3/548+/JHu27NZqeE8CJEACJEACJPASEXA+a3iJALjrUyNbOZiqVouxQjx0yGDbJBKTvpIlSuhPMIoBzEWWf7NCzp0/p81xMJmEuREEJjhbtm6T/fv2ybVr1yRvvrxSo3p1PTHE+/UbNioznqTie8NXdqmJbby48eTNNytKpbffFkwcv5wzR6CgfDVvnqR9JY1UrlJZt/9Q7VJs2LhR9u3br8onk4oV35TXXyuJKtUuxhH568Bf8lrJkrJYrYBjcjx65Eg7k5UkSZJKi+bNdH78Spo0qbzxRlm9am5LVDf37t2TgYMGSYcO7WTq1OnWV+G6Bz9nE/HQVOaqLHZUtmzdor+xbNmytqqgyOEHYtqMGyfgn1+8ePEkOKVkwsRJ8lqJktKpY0fb2MOMqFePHvLPP//KnDlz5dMB/W1t1aldW1avWaMUq6XS5KOPbOnWm2PHjkrRIkVsY48+mTGz5uM9CZAACZAACZDAy0MgqAH1y/Ptbv9SKAfWFW6YFU2ZNjXC7WBSDjObhsr8xZnNu7WBbmqymCxZUilfrpyakB+Utp98ohUCk2fLls2SM2cOqaYUgoMHD2nTJPPu0GH1PGSYbN6yVUqXKiWPHj/SE/E1a9fIs2fPJHOmzDpr3jx5BGY38GVA+qgxY+RrtfJcqFABZcPuJd26d5NffvlF57146aJ+16VbN3n11VelolqhD8mOHTb869atk/Lly5mu6StMabyzZpV333nXLt2THqAceSkGVqUgIv17+vSpHDh4QCpVrhxk7GPFiiXv1KwhR44ctmvCyyuddO/aVWbOmqV9NuxeBj7ky5dPtv34o97ZcPaeaSRAAiRAAiRAAi8fAe4YuHHMYSv/+fDhthrhSNqxfQfbc3hvLikFA5JF+RGEJO2UIvBh48Y6W341+WvesqVygD0n3t7eelUadvlGsnln1e+vqt0Dq8PyyJEjJEnixFK3Th0ZMXKUzJu3QGq/W1sqV64kI0ePklJKaShUsKCu5u9//pFNmzbZ2ab7+t6QlatW6XzI5Ksco0eOGC7l3rCf6Jt+mGtXZaJ0+tRpuXrtqmDVu327duaV7N69W374YbMsW7ZUMCF2hwwfPkImK/8QI00++lDq1atnHoO9uiqLnRooXu6SCxcu6qqyZAlQyhzrhbJ1Vo3vgwcPbAoXdobqqLGDgjdSjd+0qVOCKBX11XeeOnlKevburf05sLPwZsWKLk2PHNvlMwmQAAmQAAmQwItHgIqBm8YUSoFxQEaVUAqmTJrsluhEiQIjxdy/fz/E3hYpXMSWJ2fOnPre9+ZN8Q5MPXPmjOzfv1+wKn/71m2delNN3I1iUKBgAa0UBGaXYsWKybr16/TE06RZr8ePHdeP69dvkPWyQd8fP35Cjh8PSDd5y5QuY25dXhs3aqR9Jc6cOStLlRkMohO1bdNGEGln0OAhMnjwIEmdKpXL8niBHYx169bb8vj45JLcyq7fmTRUzrjFihW1vUqvJtmhFVdlMVbYKXKXGB3oyeMnTqu85+JvAjtLvZVfwodNPtJmRfXq1rUrD9Ohfv36SuPGjWTVt6sV38GyatW3yqF7lDblssvMBxIgARIgARIggZeCABUDNwxzZCoF6B5CTCJyzOlTp6RY0ecTWWddT5EiubNknbZ5yxY9Aaxfr76eLMNOfv3GgMm8KQR7d6ukCYzKg1VoZ3bwt+8EKBeZMz9f0cZ91apVbNWkUpN5Z2VtGQJvjL8EHvMr/4fuPXtKIzV5nzZ9hiRImED7N8DHAYKoPFuVvwRCf9asUV2n4RcUg+3qTAkjmAC7UgwQ8hN29uERV2Vz5cqldzbQD3fsbBi/hLNnz0iRIoWDdBVKFPg6M8/yVjtCbVq3kXHjx7uM3oSdpG5du0j9enWlsdo1ALtaNWsGaYcJJEACJEACJEACLz4BKgYRHGNzwJlZJXbnToHpGiaYmBQuWbZMmfNUdhq/3uQN7jpdTbBr1aylJ4LIZ/wArGVOKeXDOqlF6E7YzOOsBJirQBAn34iPT0BITEzqsyr7f3cLdjvgPI36T548aVc9wpqmS+dll4aV8nEq9Gl0CZQQKC1w/oUpVkQFihr8FVYo06wqVarYKQAIOQpfDDiHu5LGjRrK1m1bZczYcVq5dJUPYwcl4b//brjKwnQSIAESIAESIIEXnAAVAzcOcGQoBaZ7PZVTMcKV9urdR62ifyBwHsUqPlbQSwRGJjJ5XV3TeqUV35u++pCts+fOy/wFC4NkxWR7wcJFUq9uHe2bMGvWbHn33Xd0PqxKY3V6565d2scA7efLm0crDhMnT9YRcOCYfEk5HN+6fSfUq/F//XVA9euGcl4uLAkSJJBDhw7LXBX5CAeM4aAza8Qi0+Fdu3ZLE2UmE95zDFAPQoieVIqQkcSJEmkHafOMdzeVYmIE345wqhBXZfH9zZs1k7HqPAGEXX39tdd0NKIrV68ohQq8np85YOoN6dq2dWtpqur8bNAgtbJfX4UUzaZCjR6VRSrKE9po2rSpyyqgWPRXB9/hb8cqcCjPmSOXZgxF76edO/QZCSWUUzmFBEiABEiABEjg5SRAxSCC446DvqZNmSKTp07VjsaITBQZglNwJyqTkK+V7f1odZYAHHohWM1fMH9esGYrsSSWzttWmZXgdOQq1QJMbzq0by/X/7suga91HoTF3L1nt8z+YrZ+rqJ2KP7Xtq2+x682apI6SjkwL1cHccE5GH4B01TkpREjRkrHTp1s+Tqre5jphMacxv+Rv0yaNEU7HaMCmE0VVbb/w4YMsdXn7Ca22kmJiExRY2YVfPuECeNtSV1UZB+rNG/WXFq1bKGTgivbonlzreBAgUJkICPgbVUMQsMGZXHY22KlrI2fOEFHfEIaGJUoWUIdgrY4iN+FY73YxYBz8cJFi9RYBzDbu3efjB4zFlVpgRI2ZNBgyZ8/n0nilQRIgARIgARI4CUjECtXgWLPXvRvXrVkgaRMmVISqRVh2Lo7Tpxi2vfD1AeKQYIE8ZWJT9IwdR/hL2+qw9CSqzj48DGwCsKO+j/01zHxcYAWVu9NzH1rPoRPvevnJylTpLCLdoN0P797+iyD0PgUWOvEvZ/fXXVewmM1Vili/BiZb4P5FRyEnfE2ecJyxfjdUk7j7mCE8YI5UmIVgQo/FBKIyQQOq3DLZdSBghQSIAESIIHwE7CfGYa/HpaMQgJQbIxJS1ibhQ1+SJF9UCcO0HIlUBZSqx9HQbozRcIxn6tnKDnKleGFEphfOXMMDu9HYvywS+UOwVilSZPGHVWxDhIgARIgARIggReAAA84ewEGkZ9AAiRAAiRAAiRAAiRAAhElwB2DiBJ8gcrXrVNbOTQ/fYG+iJ9CAiRAAiRAAiRAAiQQWgJUDEJL6iXI55MrIPToS/Cp/EQSIAESIAESIAESIAEHAjQlcgDCRxIgARIgARIgARIgARJ4GQlQMXgZR53fTAIkQAIkQAIkQAIkQAIOBKgYOADhIwmQAAmQAAmQAAmQAAm8jASoGLyMo85vJgESIAESIAESIAESIAEHAlQMHIDwkQRIgARIgARIgARIgAReRgJUDF7GUec3kwAJkAAJkAAJkAAJkIADASoGDkD4SAIkQAIkQAIkQAIkQAIvIwEqBi/jqPObSYAESIAESIAESIAESMCBABUDByB8JAESIAESIAESIAESIIGXkQAVg5dx1PnNJEACJEACJEACJEACJOBAgIqBAxA+kgAJkAAJkAAJkAAJkMDLSICKwcs46vxmEiABEiABEiABEiABEnAgQMXAAQgfSYAESIAESIAESIAESOBlJEDF4GUcdX4zCZAACZAACZAACZAACTgQoGLgAISPJEACJEACJEACJEACJPAyEqBi8DKOOr+ZBEiABEiABEiABEiABBwIUDFwAMJHEiABEiABEiABEiABEngZCVAxeBlHnd9MAiRAAiRAAiRAAiRAAg4EqBg4AOEjCZAACZAACZAACZAACbyMBKgYvIyjzm8mAQ5aT8QAAEAASURBVBIgARIgARIgARIgAQcCVAwcgPCRBEiABEiABEiABEiABF5GAlQM3DDqly5dln4DBgiuFBIgARIgARIgARIgARKIiQSoGERw1Hx9b0qHTh1lx44d+krlIIJAWZwESIAESIAESIAESCBaCMSNllZf0EYvX76slYOpk6dI+vSvRtpX3vD1lXNnz0miRAklY8aMkiRJEkFan759ZdjQoeKVNm2ktR2ZFd++fVvOnD0ryZMnl6xZsgRp6sGDB3JWvYdkUe8TJkwYJE9oEy5euiRPnzyxy4760qRJI48ePZIrV67IK6+8ohgnsstz584defjwoX534cIFp3lQAO9Spkol8ePF03VlyJBBYseOLX5+dwXKJATPqVQexzb0y8Bft27dktOnz0j27NkkWbJk1lf6Ht+RJHFiSZEihd07f39/uXbtmv77wAvzTWgL3+UoT58+lYsXL0qCBAklbdo0+vWNGzfk3r17dlljxYplqzM0bTurw1QYN25cefXVyPt3YtrhlQRIgARIgARIIHQEqBiEjpPLXKlSpRQoAtg1gGIQmcrBv//+K0OGDVMTxdN2/Rk/brx4Z80ihw8fFn81aY1MOXjokGTKmElNaFO6rRnssoweO0b27t0rmEBjgpojRw4Z9NmnakKcQ7ezZ88eGThosF2bgwcPkjKlS9ulhfbh/QYNgmQtXry4TJ44UU6dPiXNW7SUihUqyufDhtrlW/vdd/Kr6ufE8eOlY6fO8s4770iL5s3s8pw8eUKafNxMZs6YoSba8XVda1ev1hPy7zdtkvETJtrlf+2112RAv352E/Y9P/8s06ZP12OdOFFiuXf/nvj45JaePbpLvrx5beXxHV5pvWTRooVaQTAvjh07Lm3+11Z2qp0sKCDmm6CIrPn2W4kTJ47Jqq9g371nT8mbJ698+cVsnTZm3Dj56aef7PLhwdQZmrZd1YF60O9vV63ELYUESIAESIAESMADCNCUyA2DgN0BKAdm9dMoB+40Kzpx4oS0aNVKKQDesmrFCtm9c6fs+PFHmThhghQuVNANXxG6KsaMHSvnzp8LXeZQ5kqePKkULFBQvluzRr5Ztkw2bdyoJrlJZMnSZbYaJkyaJFWrVpHvN27QP5UqvS0T1CQ+IjJo4ED5cetW288ENRG2yvYd2wU/zgST7Zo1a8rG7zfKs2fP7LJs3fajnvQWyJ/fLt08ZMmcWU+uN6xbJ+MVz2PHjsnIUaPMazl69Kj07NVLSpYooXls/mGTfL9hg+TJk1s6d+4iWKm3ytVrV2X27IDJvDXd2b2v2lnat//3IK++W7c+SBoS6tSubeMDVtu3bdOKhskcUtvDhgyxlf+wcWMpXLiw7fmb5c/H19THKwmQAAmQAAmQQPQRoGLgJvaRrRxMVavHWDEeOmSwpEuXTvcaphiYPFpNamDCghXprt27y0Q1mcazkSfKdGbTD5tl+PAR0rVrN5n9xRdy/vx581rWb9goO3ftlLVr10qvPn2k/4BPZYuaDEJgmjJdrYBDQflq3jxdx2/79ul3MK35Vq2II/+o0aPVivpvOh2/Dh8+Il8vWSLHjx+XwWqS2KlLF4FJkFWSJEmqV91Tp06tk5MmTSpvvFFW9u3br5/Rb+wilChRXK90Y7W7RPESOg0mMOEV8IsfP77tx3EV/b369WWs2o25fee20yYqvf2W7sPff/9te4/+bFAcsZMAsxtXAsUC5j+vv/66vP/e+4IdAvMtEyZOktdKlJROHTvqHRTUATOiXj16SCalVMyZM9eu2oYffCArVq6UAwcP2qU7e6hatap8r5QZq8DcBwpQtarVrMn6Pk4ce0bxlGmUVUJqG0wNY3yzlTnuKSRAAiRAAiRAAp5DgIqBG8cCykF/ZRJiBDsHU6ZNNY/hvmJSDlOPhspsBJOr4KSbmjwmS5ZUypcrJ38dOChtP/lEMLE2smXLZsmZM4dUq15dDh48pE2TzLtDh9XzkGGyectWKV2qlDx6/EiZ7wySNWvX6FXxzJky66x58+QRmN3AlwGr5aPGjNGT/0KFCij7dC/p1r2b/PLLLzrvxUsX9bsu3brpHZWK5cvbKTKmbesVK+Lr1Gp6+fLldDIml7Vq1lKmNTPk6LGjAlOdmbNnyUcffhgiD2u9Yb1v1bKlxIsbT6ZOmea0qLe3t1bWtmzdZnt/SJlzYRX9baU0hFag9BgfBCgHBw4ekEqVKwf5Niga79SsIUeOHLaruny58opVeRkxYoT2f7B76fBQVdX7w+bNdsrOZvU3UahgIcmWzdshd8iPYWk75NqYgwRIgARIgARIIDoJcMnOjfRhOvT58OG2GtOnTy8d23ewPYf35pJSMCBZlB9BSNJOKQIw2YDkz5dPmqvJ7blz5wSTWEywx6gVfSPZvLPq91eVk6rVYXnkyBHaXr1unToyYuQomTdvgdR+t7ZUrlxJRo4eJaWU0lCoYID50t///COblN38V3PniE8uH121r+8NWblqlc6HBJivjBwxXMq9ETDRN+07XrHLcfrUaT2xhglL+3btbFm6de0iPXv31vb6SKxZvYa0bdPG9j48N9g5maxMwIw0+ehDqVevnnnUCkyf3r0EytbblSrJ66+VtL0zNzVrVJdZs2ZLu0/+p1fDtyilCnb6zpynTZk7d+9qxenW7TuyX+26rFfmUX1699GvL1y4qK9ZsgQoYaaMucJc7awaT+y6mJ2iJ0+fSPeuXaVR4w9lwcKF0lqZnLmSIkWKaDOnbcrcCYyh2K1evUY++qiJ3LjxX5BiK5UPwE5ltmakSJHCMvCzz8yjhKVtWyHekAAJkAAJkAAJeCQBKgZuGhYoBcYBGVVCKZgyabJbohMlCoy+c//+/RB7W6RwEVuenDlz6nvfmzfFOzD1zJkzsn//fm2nfvtWgInMTTVxN4pBgYIF7JxYixUrJuvWrwti/mMaOa6cXCHr12+Q9bJB3x8/fkKbDumHwF9lSpexPjq9b9yokSAKz5kzZ2Xp0qU6OpGZ/C/+eon8feRvPQG+oFbYlypfBJjVNG3ykV1dmOius9jL+/jkkty5c9vlMQ8NGzaUYsWKmkdJ7yRCDkx9aqjdlZEjR8pi5eDrKBUrVNC+Dvt//0OKFS0iG5V/xCfK6Tc4gaI0feZMeaR2gjDJHzxokFR6+21dRG0KaHny+InTKu65+BtANKUuykxruFLAKlQo77QsErHj9O6776pdoO+0YoAdDvShYsUKskopc44CZe6DD547aid3EhkptG071s1nEiABEiABEiABzyJAxcAN4xGZSgG6l1aZ7CAyzelTp9Tk8/lE1lnXU6RI7ixZp23eskUGDR4s9evV15Nl2HhjtdoqjjbkaQJDW8IcydEGH+WM/X1mNUk3gns4ChtBJBxnZc17c4W/hJH8+fLqKDmN1OQdE+k5akfii1mzJJ/aBYG8VrKkXsnHJNi6Og/FYLuKxGME9u2uFAOEAC2qVtBDko4dOkh95QfwxZw5ks7Lyy47JsWIKrRVsX2mVu4RPahixYp2eRwf4Hy8QPlpwGyoZes2+gwMoxgY/5GzZ88IVucdBUoTeJrdAuv7GtWryRZlJjRi5GjBDosrqVqlsnw550vtL7JBOTXDTAshT52Jl/re0DAKbdvO2mAaCZAACZAACZCAZxCgYhDBcTAHnMGfAOLOnQLTNdiWY5K4RK2SV1Y24s7i2Zu8wV2nKxt9TALNpNH4AVjLnFLKBybXxnEWYS4RVhJnJRin4cePH9uK+PgEmA9hUp81a1ZburtusNuBHQJI9uzZbdUWKBAQ8efy5St2igFWxMep0KfuFJyr0LdvH/lUmdC89eabQaquVqWq8tUYqsxqnurwqcaJOkhGhwT0tYfyvUBY0ZrKJwMmWlDMypYtKyvU6n2VKlXsFACc8wDfC6NEOFSnx6xnr56CMKLLv/nG8bXtGf4M8BFZ/s0KvRuEsKoRFfy9hKbtiLbD8iRAAiRAAiRAApFHIHhP1shr94WsOTKUAgOqp7JzhylRL2WLjtjy169f1wdnIb4/nJNDI2m90orvTV99yBZ8A+YvCGoaA0fYBQsXCQ7yOnLkiLaff+utgMkwVqmxWr1z1y6BcoBoRPny5tGKw8TJk+X3P/7QfYRz8B9//hmaLuk8f/11QEfFwSFtfupALUQ1mqtW1DGBxW5AHuXsDJk3f778999/+tvnzJ2n0wrkfx7TXyeE4RcOMTupFCHzY5Q7Z1VAIYCD7zYVItZREEEJ8v2m79VOSVXH18E+58+fT/tLjFNhZ8ET0rZ1a72a/5kyMQKLa9euC8a5j3Jsv6v8E5o2beqyzgzKhA2K3zYVVjQ4qVmjplYKsHvhKqwqysO0y/DB9fTp0y6rDW3bLivgCxIgARIgARIggWglwB2DCOLHQV/TpkyRyVOnakdjRCaKDIFJBw7V+lrZ3o9Wse9hXgPBav6C+fNsK/zO2o4lAYbrbZXZCk5HrlKtus7WoX17uf7fdQl8rdMQJnP3nt0qlOls/VxF7VD8r+1zm/k2atKKkKTLly/XzsHwC5imIi+NGDFSHfjVydZ8Z3UPExSz82B74eTG/5G/TJo0RTsd4zXMpooq23/EwIekVsoI4v2PVd+/cNEinYYJ7QwVwhWhTsMrU9SYWQXfPmHCeFuSY9/h4Lvvt30SJ5a9Po3dFCgEcMJ2deCaY122RtRNmzatpXbduspvYrl83LSJPtxtsVLOxk+coCM8IS+YlChZQpZ8vVjzsJZ3rLtunbo6LC0OvHMUk7d8uTf0K/gbmDRcY8ex/7YtW7eokLVb7KoxB5wh0ZQ1GULTtsnLKwmQAAmQAAmQgGcRiJWrQDH705k8q39u6c2qJQskZcqUkihRIm3r7jiZcUsjUVgJTH2gGOBU3bBOjGHXflOtAsOJ1DGOPMKO+j/0l08H9Nc7BgkSJNAx6B0/DTsUd/38JKWKw28Nn4p0P797ymk4Wah8Chzr9fO7q3Y/HquxShFkwmnyYkcBak5iFzbxJt+LcsV43VJO4sExeVG+ld9BAhEhcFiFWy5TJuQgBxFpg2VJgARI4EUnwB2DGDjCUGxCa8fu+HmYyGMFPiQJzo8BDr2p1Y+jmIOsHNND+wwlRy2+ByuunGSDLRSDX2K8sCtFIQESIAESIAESIIHIJmBvNxDZrbF+EiABEiABEiABEiABEiABjyTAHQOPHJbo6VTdOrXVKclPo6dxtkoCJEACJEACJEACJBCtBKgYRCt+z2rcnFzsWb1ib0iABEiABEiABEiABKKCAE2JooIy2yABEiABEiABEiABEiABDydAxcDDB4jdIwESIAESIAESIAESIIGoIEDFICoosw0SIAESIAESIAESIAES8HACVAw8fIDYPRIgARIgARIgARIgARKICgJUDKKCMtsgARIgARIgARIgARIgAQ8nQMXAwweI3SMBEiABEiABEiABEiCBqCBAxSAqKLMNEiABEiABEiABEiABEvBwAlQMPHyA2D0SIAESIAESIAESIAESiAoCVAyigjLbIAESIAESIAESIAESIAEPJ0DFwMMHiN0jARIgARIgARIgARIggaggQMUgKiizDRIgARIgARIgARIgARLwcAJUDDx8gNg9EiABEiABEiABEiABEogKAlQMooIy2yABEiABEiABEiABEiABDydAxcDDB4jdIwESIAESIAESIAESIIGoIEDFICoosw0SIAESIAESIAESIAES8HACVAw8fIDYPRIgARIgARIgARIgARKICgJUDKKCMtsgARIgARIgARIgARIgAQ8nQMXAwweI3SMBEiABEiABEiABEiCBqCBAxSAqKLMNEiABEiABEiABEiABEvBwAlQMPHyA2D0SIAESIAESIAESIAESiAoCVAyigjLbIAESIAESIAESIAESIAEPJ0DFwA0DdOnSZek3YIDgSiEBEiABEiABEiABEiCBmEggbkzstCf12df3pnTo1FEuX74s//77r0ydPEXSp381Urt4w9dXzp09J4kSJZSMGTNKkiRJBGl9+vaVYUOHilfatJHafmRX/uTJEzlx8oRkzBDwbaa9mzdvytmzZyV58hSSOXMmiRMnjnkV5uvFS5fkqWrHKgkTJpQ0adLIjRs3dN0pUqTQr/F87949fR83blxJq/ha23706JFcuXLFWpW+R/lkyZIFSbfWFz9+fHnllVfs6vPzuyv4u4LEjh1bUqVKpcY6kV091jrMi1ixYum6rl+/LhkyZNBlzTtc/f395erVq+rvM708eHDf1oY1j5eXl6BPqP/x48eCZ0e5cOGCZvDokb/TOkx+046f3z2n9dy6dUtOnz4j2bNnc8kppD6gr8HJyVOnJJ36BvwbsUpovg91O44txspxLKz18p4ESIAESIAEYjIBKgZuHD0oB1ASIks5gOIxZNgwNZk6bdfr8ePGi3fWLHL48GHxf/jQ7p27Hw4eOiSZMmZSk9WU7q7aVt/CRYvliy+/kDGjR0uZ0qXFT03KJyuFa936dZI4UWK5d/+enviOHztOKwi2gmG4eb9BgyC5ixcvLpMnTpQx48ZJ2jRppVvXLjoPnn/66Se7/A1U+U/attWT6FOnT0nzFi3t3uOhTes28nHTJkHSHevDxL9unbrS7OOmWkH4ftMmGT9hol251157TQb066cn/njhWIfJvPTrr6Vh48YyedJkKV6sqEnW1/UbNshY9S1bN28WZ20g04xp06RQoUK2+r+aO0d8cvnY1dOgYUOd7/jx4zJuwgS7d9aHb5Yvl59/3iMrVqyUJapfRvb8/LNMmz5d/x2b8fTxyS09e3SXfHnzmmyh6gP66kpOKuWyycfN1Bg0VWPR2i6b4Rfc96FuZ2ObI0cOKffGG9KieXM7hc6uAT6QAAmQAAmQQAwkQMUggoOGCTIUAbNrEFnKwYkTJ6RFq1ZSsUJFGT92rKRLl06v6P7x559SsEABweprVMgY1XaP7t0jTTE48vffsnjxYrtPiaNWzWPHiS0L5s0TTMrMLs1spTwMHTzYLm9YHgYNHCgVype3FbHuAtgSA2/q16svXTp3UjsDV+X3P/6Q4SOG652ZRmqSbGTF8m/UxD21eRTsLrgS1Ne1S2c5e+6c/PrrrzJp8mRJmjSxfNDgA10kS+bMsnjRIrlz5478888/MvTzz2XkqFFaWTJ11qldWzp36mQeBTsG8eLFk0IFC8mWrVuCKAYbv/9eatWsJdgZgWBXYfHChbbyuEF5qwz7fLjM/fJLp99Sp04dqVWrls6+97e90rtPX610YJcD4mw1/+jRo9KzVy95/733ZIz6HvQB3zh95kzp3LmLzJ8/TzKoHQ2rBNcHaz7H+w0bv9eK5NrvvtOTeGfjEdq6165erXduzp0/L0eO/C3jx4/XYzfw00+dsnHsC59JgARIgARIICYQoI+BG0YJpkNQDl59NcCEyCgH7vQ5mKpWWLGqOnTIYK0UoNuY6JQsUcI20UMazDyw2txVTd4nTpqkn5EOgYnOph82y/DhI6Rr124y+4sv5Lya6BhZv2Gj7Ny1U9auXSu9+vSR/gM+VRPMrfo1zFCmz5ghUFC+UhN01PHbvn363UO1S/Gtmjgh/yi1yv/r3t9MlWoX44h8vWSJYHV58JAh0qlLF2XG8sD23noDc52BgwZJhw7t9ITOvMNEtnfPnlopQBqUscqVKusJs8kTniv4YfJqfoJTDFA/JrwY65o1qgt2F/7664Bds/Hjx7PVhTrNBNkuk+UBE/msWbJIg/ff15P5/b//YXkb0B7MkV5//XU1kX5fsNL+9OlTW544cez7byb11atVlS2btwjGxQjGGTtKVapUMUkSV5limW83V/TJCBQPjPeSpUtNkt0V32fKxVV9gaAPJs0uc+DDhImT5LUSJaVTx45aKUAyzK169eghmZQyNGfOXLtiIfXBLrPlAX+va9aslR6q3ocPHsrevXstbwNuw1o3vhfjBb6TJ0+Sbdu2yY/btweplwkkQAIkQAIkEFMJUDFw08hFpnKASQ4mNg2V+UpIk81uaiKULFlSKV+unPx14KC0/eQTrRCYz9yyZbPkzJlDqlWvLgcPHtKmSebdocPqecgw2bxlq5QuVUoePX6kJ+pr1q6RZ8+eSeZMmXXWvHny6IkxfBmQPmrMGD35L1SogLI995Ju3bvJL7/8ovNevHRRv+vSrZtWnCqqFXqzYm3aNVeYl3hnzSrvvvOuSXJ5PXvurOTJndvl+8h8gck5fDysuwMRbS+eUiqSJE7sspqLFy/qiXRI448KKlSooM2tfrVMhrf9uF2veBctUthlG44vvLzSSfeuXWXmrFlyRvl2RFTA7cDBA1KpcuUgf8dQSN6pWUOtxh+2aya8fdi9Z4+up2KF8koZqixrv1tnVy8ewls3yuLfAHZmDinTOgoJkAAJkAAJvCgEApb5XpSviebvgHLQX9mBdww078DOwZRpU2W48guIiFxS9UCyKD+CkKSdUgQ+VDbmkPz58knzli3lnDJX8fb21vbQsNs3ks07q35/9do1O4flkSNH6ElqXWUqMmLkKJk3b4HUfre2VK5cSUaOHiWllNJQqGBBXc3fysxlk7KJt9pq+/rekJWrVul8yOSrHKNHKtObcm+UM00Hue7evVt+ULsZy5Yt1SYxQTJYEuDngDZhDx8R2aMmj//995+tigL580seNeFzJpeUggNlB2Oxa9duuXrtqtSuba/AfKxszuPFfW6KM2L45y7re6h2TeAwfv36Ndm+fYfs379fxikFy8idu3d1e7du35H9amdm/cYN0qd3H/NaX1euWik7d+60pRVRk/6Bn30m2GUA683KlwAKImSjKl+rZk27CTnMmOoqkyarrFzxjS0PdphgLgRFcaT6O5g2dYrtnbVMaO8vXLios2bJEqBgOpbDjhv6hB0lozyGtw8wH6qulN8ECRJItWrV5H/q3wWcsuFcbiS8dZvyuXP7aOXbPPNKAiRAAiRAAjGdABUDN44gTIc+Hz7cViOisnRs38H2HN6bRIE24ffv3w+xiiKFi9jy5MyZU9/7qmg+3oGpZ86c0ZNQROW5feu2Tr2pJqgmklGBggXsVq6LFSumnX5dmf8cP3Zc17F+/QZZLxv0/fHjJ7TpUGCT+lKmdBnro909IsQMGjxEBg8eJKmVI25wcu7ceenWrbs0b9ZcO8k65sUOxrp1623JPj65JLeLnYXjJ07KXT8/W14wcKUY/PnnX3JFRfRBX6HoLFPmUZkyZbKVxU13tSuSMuVzp2xETnIl6zasF/xAYCI2eNAgmyKFNLQBu/tHarcIk2W8r/T223hlE0z+P/jguRN1cksEpGrVqmjTrl7Kfv/S5Uu6jsqVKtnK4gZOz5999qldmuOOBJ57K5+AD5t8JKvXrJF6deva5Q/Lg7FSevL4idNi91z8fYe1D/jbxg6bT65csu3HH+XZ02e6vR+UotS4USO7tsNat7Uw/tZSJk9uTeI9CZAACZAACcRoAnFjdO89qPNQCowDMroFpWCKigyDXYSICsJjInrLaRV6sVhR+0gzjnWnSOF6orJ5yxY1AR8scHzFZBk29liJtoqxUzdpaVR4RghWV53Z4N++E6BcZM78fBUY91WrVjFV6Amos7Imw7TpMyRBwgTanh027RBEHtq6dZt2NIZNPwSMO3XurFeCW7ZortMcf2Gytn3HDlsy7N1dKQZN1WT3zYoVbXmDu8HqM6IUYdW5tpoc7/3ttyCKAXZREM4yNAIn4E4d26vQl4mdrsLD+RjO1jC/adm6jexQ3+SoGCCUaNEizxVBa7ulXi+lH3/auUuFeD0j3mrHCI7bVkmWNKnL8tZ83mpnCRGWximHW0SJCq/AYR6C/mB3w1HOnDmr/1bMboH1fVj68P33m/S/l5/VDg9+IF7KxA1+MHAWt/pR4F1Y6kZ+I9gtK/Xa6+aRVxIgARIgARKI8QSoGLhhCCNTKUD3MJHBRGrJsmXKnKey05jvofmM6WoCjgmpCcNp/ACsZU8p5QOTazN5QrhGTKoQB97sGiC2vBEfHx99CyforMo/IDyCsxhQ/uTJk3bFYVefLp2XTsM5Ae3at5eyZcvo6ECmf3YF1ANWgMeNfW6S4/g+os8wRYG51owZM3VEo9AqAo7twsQlSZKkjslBnvE9PdRORJv/tZWaapILM67QCCbXGOvt239UuzcnpEGD90NTzGWexo0aytZtW2WMChELJTU8AqWzbNmyskKZmcEJ2qoA3L59W+30rAui/FjbCU0foMCu+naVtG7dSjt1m/LYaWrYuJHyqznodKcpNHWbunDdvmO7duZuqxQmCgmQAAmQAAm8KASoGERwJE3oTPgTQNy5U2DtWk/lVIxwpb2UnXmjhh9IPuU/gEkQVthLqEl1aCStV1rxvekrOEDrrJoozV9gH6oSdWAyvmDhImUyUkf7JsyaNVveffcdXT0mcjA/2blrl/YxQPv58ubRisNEFW6zyUcfaadM2OPDNt7VarZjX1s0b+aYpO34m6gVfaxQX7t2Xe3GdNLOy4gkA+XFyKtqZyY4p12Tz51XhNqEWc00FaXpswEDbFXDQfeWmuAaeSV1am3vb57De82fP5/UrF5DnxmwaMECbTePuhCiFgd4GYmtFEhvtTNgBJPvTirEKuTtt94yybbrAxWtx1oeLxAq1DphN5kxqe+vDtDD32BEpK06T6Bps2by2aBBeucqe7ZscuzYUVmkzjm4q/wqmqozB1xJaPqwT/ljwAwLUausArOuwoULC0zenJ19EFLdME8C78tKQf3ll1+VD81KrWAXL17M2gzvSYAESIAESCBGE6Bi4MbhiyylAF2E2chEZcrxtQodOVqdJYDJj05Xq/kL5s+zrfDrRIdfsSSWTsHqJk5HrlItwDSng1qBv/7fdbUl8bwAQknu3rNbhTKdrROrqB2K/6mDvIzgoCiEJF2uDq9q366dttmephysR4wYaXO6Rl7E14di4Gpl39QX3BUTXQjODYDCgh84+FoFDruhXUW3lsN9YPWOyfrZ8Z31GeZJXVXYVcTjr60iKCVKnFCXMU7npsK2bdoKzJWcibU+Z+8d09q0aa1NmJYuW247NA1nFeDHKjuVyRF2GSCIQARFLpt3NqcnD8OBuonDRHyGigxlHMsdxw4mWVD+FqrzFRzhOea19sl6D3OmxUrxHD9xgo5ehXfYgShRsoQ6BG1xEB8Tx3qD6wPqwtkFb735pvru574eSIfAgX7I0CHqvIQAZSksdcN5GYL+49wQnMFQpoxrvxmdmb9IgARIgARIIIYRiJWrQLEAz7wY1vGwdHfVkgXaKTRRokTaTt5xQhCWupzlxW7B5KlTtaOxO3wKnLVhTYOpDxSDBAnih8ocxVoWNus31conHFXhY2AVhB31f+gvnw7orw+dgrkLJsGOgvCpcNpNqaLfmEko8iDdz++eJE+ezKk/gmM9fH65CeBv8ZZygE+ZMkWEFMiXmyK/3hA4rMItU1kzNHglARIggfARsJ8Zhq+Ol74UwixGNCRpWCBCsUmtzFTCI5jIhxT5B/Xi0ClXAmUhtROFAenOFAlX9TD95SaAv0VnK/svNxV+PQmQAAmQAAlEH4EAm4Poa58tkwAJkAAJkAAJkAAJkAAJeAAB7hh4wCB4Shfq1qmtHJqfekp32A8SIAESIAESIAESIIEoJEDFIAphe3pTPrkCQo96ej/ZPxIgARIgARIgARIgAfcToCmR+5myRhIgARIgARIgARIgARKIcQSoGMS4IWOHSYAESIAESIAESIAESMD9BKgYuJ8payQBEiABEiABEiABEiCBGEeAikGMGzJ2mARIgARIgARIgARIgATcT4CKgfuZskYSIAESIAESIAESIAESiHEEqBjEuCFjh0mABEiABEiABEiABEjA/QSoGLifKWskARIgARIgARIgARIggRhHgIpBjBsydpgESIAESIAESIAESIAE3E+AioH7mbJGEiABEiABEiABEiABEohxBKgYxLghY4dJgARIgARIgARIgARIwP0E4rq/StYYGQRu3Lgh9+7d01XHjx9fXnnlFYkTJ46tqUePHsmVK1f0c6xYsSRZsmSSPHly23vHm1u3bsnp02cke/ZsOq/1/cVLl+TpkyfWJNt9kiRJJVWqlOIsT8KECSVNmjS2vLhBv86dOyt37vipPqeWTJkyifVb7DKrh7hx48qrr76q8+D7UqRI4ZhFgus7MqNvSRInDlLW399frl27JhkzZgxSJxNIgARIgARIgARI4GUnQMUghvwFjBk3Tn766Sdbb1OlSiV169SVZh831QrCqdOnpHmLlrb3uMmSObN8OmCA5MuXz5a+5+efZdr06UopOC2JEyWWe/fviY9PbunZo7vky5tX53u/QQNbfsebWjVrSd8+vcVZnuLFi8vkiRN1ESgEc7/6ShYsXGhXReHChfWE3fot1gxeab3k21UrBd+bNk1a6da1i+11aPqOzOgb6lm0aKFWEEwFx44dlzb/ays7d+yQ2LG5WWa48EoCJEACJEACJEACIEDFIAb9HdSvV1+6duksZ8+dk19//VUmTZ4sSZMmlg8afGD7itWrvlU7AEnl2PHjemLeum1b2fHjj3ol/ujRo9KzVy95/733ZMyoUZIhQwa1kn9Hps+cKZ07d5H58+dJhvTpZfu2bfLs2TNdZ9tP2km5smXlo48+1M/WXYpBAwdKhfLlbW1b3w37fLjs2bNHhg0dKmXLlBHscmBH4z+185Hbx0eeBO5IfDlnjhw6fFgmjh+v63E1YQ9t301nrl67KrNnz1a8nisW5h2vJEACJEACJEACJEACQQlw2TQoE49OgZlQ1ixZpMH770uhgoVk/+9/2PU3duxYApOeggUKSLOmH+t3J0+e1NcJEyfJayVKSqeOHbVSgESYHPXq0UMyqd2FOXPm6nzx4sXTE3lM5uOolfU4yrwH9/rZYr4Esx+Tbn138NAh2bJ1iwwa+Jm8WbGizoOK06VLp3cloECYclAErPXg3pmEtu+mbMMPPpAVK1fKgYMHTRKvJEACJEACJEACJEACwRCgYhAMHE9/FS9+PDtTGcf+Xr58WSelTJlSnj59qibJB6RS5cpBzGigbLxTs4YcOXLYsYpwPe/bt1+b8pRVOw3ukPD0vXy58lJe7WaMGDFCHj586I5usA4SIAESIAESIAESeKEJOF+efaE/OeZ+3MMHD+SGr69cv35Ntm/fIfv375dxY8bYfRAm5YkSJ5IDBw7I95s2SdWqVcXLy0s5AJ/X+bJkyWyX3zzA4RcmSg9UG9hxCI0MHz5CJk+eYsvaRJkb1atXT86dPyc5c+awpUf05sKFi7qKsPT9ydMn0r1rV2nU+EPt59C6VauIdoPlSYAESIAESIAESOCFJkDFIAYN77oN6wU/EDgMDx40SEqVKmX3BfPmz5N4yuznxIkTUq9uXZuNvdoU0PLksfNoQ/fu37erJzQPDRs2lGLFitqyplfKBSSRUizMboXtZQRuwtt3REjqonwMho8YLhUqPPeFiEBXWJQESIAESIAESIAEXlgCNCWKQUOLiEA/fL9RR9X5as6XUuntt4P0fuqUKbJg3jz5sHFj2bVrt82MBvb9kLNnzwQpg4QzZ86qMKSpQr1bgDIIdVq0SBHbD3YdILly5ZJjR4/ZHJh1YgR+RaTvNapX034VI0aOlqfPnkagFyxKAiRAAiRAAiRAAi82ASoGMWh8EyRIIDhHwFXkHuunNG3SRO7evSvzFyzQyXAohs3/ilWrtLmQNe/t27dl3bp1ThUNa77Q3ufOnVuHQV29Zk1oiwSbLyJ9h/9Ez1495ejRf2X5N98E2w5fkgAJkAAJkAAJkMDLTICKwQs6+kmTJtVmNAsXLZLT6swCSNvWrbWJ0WfKBOnXvb+pw76u65Ciffr100pE06ZNdb7Q/kL40ZOnTtl+jPlQ3jx5pHmzZjJWnUWA9hFqFIeSHT12VI78/Xdoq7fLF5G+IwQrzkPYpsKwUkiABEiABEiABEiABJwToI+Bcy4emWps7YPrHFbIjVSvVlW+/fZbGa8OHcPBYzly5JDFCxep5wnSrXs3nQ2HnJUoWUKWfL1YUitTorDIlKlT7bIjFOqECQHnEbRo3lyww7Fz1y6ZOWuWLV+H9u1tB6kh0dpfW6bAG8unhLnvjvXiMLhNP2yWw+rMBAoJkAAJkAAJkAAJkEBQArFyFSgWcJJV0HcvTMqqJQsEITsTJUqkTwl2nDS+MB8ahg9BCNBbt24rLimCnZyHoUqXWRHpCM7NydWZCa7OKXBZ2MmLqOy7k+aZRAIk4IEEDh8+JGXUYYoUEiABEiCB8BPgjkH42cXokvBTSJUqZZR8A8KfhjYEamg6FJV9D01/mIcE/t/eecBXUWxh/CC9dxClhKoiHZQmikrvRX0WqopY6E1QRHrvVUUUEOQpSO+EJoKo+JSq0juKQOhI9Z1vkln33tybhOQmkPid97vs7vT5z8Z3zsyZWRIgARIgARIggYRAgHsMEsIosg8kQAIkQAIkQAIkQAIkEEMCNAxiCJDZSYAESIAESIAESIAESCAhEKBhkBBGkX0gARIgARIgARIgARIggRgSoGEQQ4DMTgIkQAIkQAIkQAIkQAIJgQANg4QwiuwDCZAACZAACZAACZAACcSQAA2DGAJkdhIgARIgARIgARIgARJICARoGCSEUWQfSIAESIAESIAESIAESCCGBGgYxBAgs5MACZAACZAACZAACZBAQiBAwyAhjCL7QAIkQAIkQAIkQAIkQAIxJEDDIIYAmZ0ESIAESIAESIAESIAEEgIBGgYJYRTZBxIgARIgARIgARIgARKIIQEaBjEEyOwkQAIkQAIkQAIkQAIkkBAI0DBICKPIPpAACZAACZAACZAACZBADAnQMIghQGYnARIgARIgARIgARIggYRAgIZBQhhF9oEESIAESIAESIAESIAEYkiAhkEMATI7CZAACZAACZAACZAACSQEAjQMEsIosg8kQAIkQAIkQAIkQAIkEEMCNAxiCJDZSYAESIAESIAESIAESCAhEKBhkBBGkX0gARIgARIgARIgARIggRgSoGEQQ4DMTgIkQAIkQAIkQAIkQAIJgQANg4QwiuwDCZAACZAACZAACZAACcSQAA2DGAJkdhIgARIgARIgARIgARJICARoGCSEUWQfSIAESIAESIAESIAESCCGBGgYxBAgs5MACZAACZAACZAACZBAQiBAwyAhjCL7QAIkQAIkQAIkQAIkQAIxJEDDIIYAkf3Eid/lnZ49zTUAxbEIEiABEiABEiABEiABEohzAknivMYEVmFIyFlp066t/P777/Lbb7/J+LHjJEeOe2O1l2dCQuTI4SOSMmUKuf/++yV16tSCsO49ekj/fv0kW9assVp/bBR+/vx5wc8t6dKlE/zccvDgIUl0TyLJkzu3O/i274+fOCEZM2RQhik98p6/cF6uXb0mWbJkMeFnzpyRy5cve6RJlCiR4e4OPHfunFy4cEFy5szpDjb3/upC+K2bN8OlR0Dq1GkkY8YM4i+vdzt9FqKB/tp1/fp1+eOPPyRz5szhGKAfV69e9ckgWfLkklXZgEFUBGUdPHRIEidOLPflyCEZlLm3wLBOmjSJU5+Nv902oo5UqVKZftkyvK8ZM2WS1JrGiq+6L126KPi79ic5tB/givrSp08fLhni8J7my5dX0qZNGy4e79SNGzckW7Zs4eKOHTsmWfXvN1myZOHiGEACJEACJEACsU2AhkEACcM4gJEQW8YBDI++/fur0nHQo9UjR4yUoDy5ZefOnarUXvWIC/TD9h07JOf9OY3SGsiyP/n0U5k9Z45HkS88/7y0eestEwYFuXPnznL4yBHzHBQUJOPGjJFMquhFR5597jljRD1ZubJH9i+++FK2bdsu48aOMeHDRoyQr7/+2iMNHjasXy/33PPPgtvwkSNlzZo1snzp0nDKoL+6EO5P6tSuIz26vy3+8nq30185/tp14OABafnyK1L5icoyoH8/j+wLFy2S777/XsaOHm3CvRmkSplKSpYqKS2aNZPChQt75LUPt27dkg8+/FBmfv65IP3lK6HGVdcuXaRB/fo2mVGQW7V+Te7Nfq98PPkjJxw3t9vGrFmySr26daR5y5Ye5bgfevV8T6pXr2aCoJz7qnvFipUyYtQodzaP+9lffinjxo9XAymrdOrYwYnb9O23MmHiRPP3aftcqNAD0rVLZyn80ENOOsvz00+mSKGChZxw3Dyn7/ykCROkWLFiHuF8IAESIAESIIG4IEDDIIaUMasLQ8CuGsSWcbBv3z55+dVXjSI3cvhwyZ49u1Gqfvr5ZylapIiZwYxhV6KUfZjW3UUVdPQ7kIIZ2qZNmkiL5s2dYpMk+ef1hCJ23333G+Xx779F3nv/fRmvSlgvdeGKbYEi275dO6cazJa7jQK0HUYBlMHVenUrvk4mHzfrNO3f6IxK6zfelEoVK0qTJi+ZZ8xGx1Si0q5169cJfjAQIpLGjRobJRgrAHv1XZw7b54q1a39KrE71EiFUYB3tWzZsgJDYc+ePYIZe7d89913cvWvq/LLr7/I/v37dZY9nzva3Ee1jUicP39+Wbt6tcmHlZ7adevKaFXyi4cp2u53yl/dDRo0kDp16pgyvv/he3m7ew9ZvWqVM+a+ZvN3794tXbt1k2efeUaGDRmi7+p9ZgVp4gcfSPv2HWTatKlmxcQUGvZP/wED5ZOPPxZ3m9zxvCcBEiABEiCBuCbwz5RnXNecgOqD6xCMg3vvDXUhssYB3BQCJVCCMfvYr28fYxSgXCgUj5QpIylSpHCqgSvCyFGjpaMq76N1Rh3PVm6q28qKlatk4MBB0rFjJ/lo8mQ5evSojZYlS5fJhm82yMKFC6Vb9+7yrs6uBocpWdeuXZOJkyYJDJRPp041ZfywZYvJC7eTefPnm/RDhg7V2eYfnDJ37twln8+aJXv37pU+fftKuw4d5K+//nLi7U3I2RB1ochi+oL+4GcVJrhJYdb+ZZ0JhotNmjRppGWLFrJixQqjfNkyYuuaOHES49oBhRC/pEmTelS1atVKyZ0rl7Rs2cIozB6RETygHFtmYl19SKzj6TwHwDCISrueadxYhuuKE1yToiJwjSlZooT07tVLnnrqKXm/dx+f2fCewFCCUQCBIfXAAw+Ec3NboKsTtWvXknJly8lyHU9fcjtthNFmGdpxSpY0dNwQ7jbo/NWNNLaMJDr2EPdY+WrjqNFj5NEyj0i7tm2NUYA0YNVNV0hy6rsxZconHtlgPILRrP/+1yOcDyRAAiRAAiRwJwnQMAgQ/dg0DqCUf6+uHc+r64lbsfHV9E6qiKRNm0Yer1RJtqpLTOs33hAYBFaCg1dJgQL5pUbNmrJ9+w7jmmTjduzU5779ZVXwailfrpxcv3FdFb/esmDhAjOznStnLpP0oQcflNKlSxslDzPeQ4YNM8p/sWJFVLnPJp06d5LNmzebtMdPHDdxHTp1MoZT5ccf9zBkbN2nT5+WixcvqzvULmOsYIbZyqk//zS3QXmDbJDky5vX3J88edIJuxM36D+Monr16kmVp582yt7uPbvvRFM86oxqu1595RVJmiSpjB83wSN/ZA9Y0ains/En/zwp8Jn3FhgBcB+aNv0zwV4BX/Lnn6dk48aNUq1aNalZs4bMmzdf8K57S3Tb6F2O+zmqdbvz+LvHu7pt+zapUrVquL9PGCp11fDZtWunR/Zs2bJL544djbvVocOHPeL4QAIkQAIkQAJ3ikDodNidqj2B1Qvj4N133pG2YW4nWDkYN2G8DNR9ATGRE1oOJLfuI4hM3lRD4KUXXzTJHlb/75aq+B1Rv/ygoCCzWXKYzuhbyRuUx8SfVMXbvWF58OBBZoNmQ3WpGDR4iEydOl3q16svVatWkcFDh0g5NRqKFS1qivnl11/NzL3bXzok5Ix8NXeuSYdEITrjP3jQQKn0WCVbtc/rjBkzdJ/BbJMes80jhg8zvtZQPiHuTaPYcA35Qw0DuI9ER7ByMlZXetyCukqVLOUO0r58JRs2bHDCSpQoLu/rjDkELjPY91C1ShWzeRazxkt15aVQe0/fcSdzNG6i2k530VFtF1Zmur/dTWBQPq19KPvoI+5iIrwvWKCAiYcbDd4Jt8CnvqOuDo3SfQoYU+wXgSHh3oy7YuUKs9KCtDD03ldD4lv103/iiSfcRRlDMrpt9CjI9RDVul1Z/N4eO3bcxOXOHWo4eyfESiLeEayU2dU9GOtwWYIRPlj/xiaMHxfOqPAuh88kQAIkQAIkENsEaBgEkDBchwYMHOiUiNNL2r7VxnmO7k3KMFehK1euRFpEieIlnDQFwhS3kLNnJSgs9JCeEPPjjz+a027Onwt1Hzmrirs1DIoULeKhgJcqVUoWL1ns0/0HRe7ds9eUvGTJUlkiS8393r37jOuQeQj7p0L5Cu7HcPfTdPOxdR2Ce9MEdVvq3KWrLF+21MxoIwNmwe1pOLg3Yq+hTybN4sVLwp5E3a8KGhcWJ8B185//PCduXohatHhxuBlwGDRIayWd66QZ1JVNV0m2bd9uojPpKT9g8br631sl0OaL7jWq7XSXfzvtgrtPLV1BGjx4sMyc8Zm7mAjv7apOanXt8iVwAXr6qacNU7jM4IcNzdhHgLwL1GUtrxoEa9auNdnhKrdw0eJwhgEio9tGX+263bp9leEO00UBIzdv/LMy546/7OfvFqt/b3frJi81bSLzFyyQRg0burPxngRIgARIgATinAANgwAhh1FgNyCjSBgF48aMDcjRpTi+EDPoBw8c0NnskhG2OH16z+M93YlXBQdL7z59BBtJ4eoBRXyJKt5usX7ZNiyLKroQzHD62hBrfdNzqR+1Fdzbk18QljFjRp95bXpcrVGAexz52axpU7OvYN/+fbqnInTvxsWLF50ZZ2yChaRP77kJGgbDOj0xyAp8xdFXX4KVhjJlSntE/fTzT+EMAxwrCb96b7l06ZIxmrC/YOq0aU40XGi+URcZuBYFQqLaTltXdNrVtk0bafzMszJ5yhTJ7uMYTVu2+7pPNwtD7MqBO87eY5N6M1V8GzdqoH8fHXRD8ix5r+e78vPWrXL8+HFzVKpld13diDbv/s0cN4rN9d4SnTZ6l4Hn6NTtqxwbZtt6+PAhwWqStxw6dNj8DfgyFIN01e61Vq/JCD3VqkL58t5Z+UwCJEACJEACcUqAhkEAcMemUYDmYZYcCsesL75Qd56qjnJ8u02fOHGS4BhMe8Si3QfgLueAGh/umXkcGYkZcbju2E3DOObRSqFCoS4z2ASdJ08eGxzjq10RyJwpszmbHgXiOFbrsrJz1y5TR67cnt8NwCwsXJDiQtauW2cMtmm6GRsGiJV+/QfozPeigBkGttyoXqPTLnwvokeP7vIeNhU/+WSkVYVuRv9AXcqKRWllBJvGYVzt3ffPChNWYuBiZgXGZ32dNV+ux4U2b9bUBjvX222jk9HrBis6t1u3VxEejzCmK+qJUnPUfQ77JdwGAL7NsVhXoSIyEl984Xk9zWq1DBs+wrxPHoXzgQRIgARIgATikAA3H8cQNo6EjK2VAnfTcP47XIm6vd3dzKSfOnXKzKxu2rTJ54ZNd157nzVbVsHpP/iAE/YGYGOot2AWd/pnM8xpP7tU+f7ww4/09JlQRREKD2b/N3zzjTkqFacRFX7oQWM4jB47Vv7300+mjft1lh/HqEZVsPEYG3ixJwPGBzbvQkmC0mk/wNXkpZfkw8kfGxclxOOMfCiw6dL6XyGJav2RpcMHq/arwWR/B8O+IzF//gKpX7+eh1GAsnDKDty13CdCgStOobE/92lQkdV/u/G30y532eD5uG4Ot6497rgLemoR2ozvWECxfklXdK5du6rfgujrTubcY1MxjgPF5nDwwxn/i9RYKvvoo+YEpOUrlkvdOrWd9LjBilSjho1kvr4L1k3JI4E+RNRG77S+nrHCFd26fZVnw1q3amXGtlfv3uZULmxuxt9md91zhJWuZvrNB38Cw+Jd/Tjh5u82O9978JeW4SRAAiRAAiQQmwS4YhBAuoF0H/JuFtxZRqu7wefqpz1Uz4bHhl4IZvOnT5vq+N5758NzIv0fpLW6LODryNVq1DTP+HjYqdOnkMARbJ7duGmjHmX6kQmrpisU8Je38poqQDiS9Ev9yNNbb74pL77wgkzQDdaDBg12Nl0jLc79xwyx3RNg8/u7wjAYrh8Tg8Bt6rHHKprvJdj0+L7BqVOnnY9X4XjLbl272uhoXa1vuDsz2osvK7sleHWwHtsa7A6Sz9R1CGfv4yNk3lKieHFzZOXKVcF6rGpzE42jXvGzAqNn0sQJ9jHCa1TbiUJgvESlXRUrhrqteI8PTsrZ8sMWSZzIc85gpZ7jjx/GBh83q6nvUONGDX1++RftgFE0Ztw43BpBvueee1b+oydrLVm6xJRjjzK1aXCtWaOGTPlkinH3SZMmdIN5VNsYjlNYgDt8re5nQFsiq9u67HnX7W6ru1y4e81Ug3rk6FHmVC6kQz1lHikjsz6fKZnUoHaLd7lwd8N3PD7TDfj6R+NOynsSIAESIAESiDMCiQoWKRW2izPO6ozziubOmi4ZMmQw/syYlfT+P+WYNggz3WP1A1zYaIyTiWJb4GYDwyB58mTmXP/bqQ8zsWd1BhcbaN1+/SgDx45eu3rN+IDDhz958uThZsORDm4kF9W/PkP69B4nqSD80qXLki5d2kj3FKAcb8GKyBVdMcioY+VvjFAH+uB21/Auh893BwHzrunGd7xncAP6twj6fU439mfIkN7ve/xvYRGX/dypxy1XqBDxIQdx2R7WRQIkQALxkQBXDAIwajiOMKZHkt5OM6A0Z/L6gmxU88MH33v20lde97GS3vHwp8/k8qm38fajUPb5dq8pU6Y0xltE+dy+/BGlY9ydJ2DetWi+p3e+9dFvAfod6C+DR781zEkCJEACJEACUSfg6S8Q9XxMSQIkQAIkQAIkQAIkQAIkkIAIcMUgAQ1mTLvSsEF9PZb0VkyLYX4SIAESIAESIAESIIF4SICGQTwctNhqcqGCoUePxlb5LJcESIAESIAESIAESODuJUBXort3bNgyEiABEiABEiABEiABEogzAjQM4gw1KyIBEiABEiABEiABEiCBu5cADYO7d2zYMhIgARIgARIgARIgARKIMwI0DOIMNSsiARIgARIgARIgARIggbuXAA2Du3ds2DISIAESIAESIAESIAESiDMCNAziDDUrIgESIAESIAESIAESIIG7lwANg7t3bNgyEiABEiABEiABEiABEogzAjQM4gw1KyIBEiABEiABEiABEiCBu5cADYO7d2zYMhIgARIgARIgARIgARKIMwI0DOIMNSsiARIgARIgARIgARIggbuXAA2Du3ds2DISIAESIAESIAESIAESiDMCNAziDDUrIgESIAESIAESIAESIIG7lwANg7t3bNgyEiABEiABEiABEiABEogzAjQM4gw1KyIBEiABEiABEiABEiCBu5cADYO7d2zYMhIgARIgARIgARIgARKIMwI0DOIMNSsiARIgARIgARIgARIggbuXAA2Du3ds2DISIAESIAESIAESIAESiDMCNAziDDUrIgESIAESIAESIAESIIG7lwANg7t3bNgyEiABEiABEiABEiABEogzAjQM4gw1KyIBEiABEiABEiABEiCBu5cADYO7d2zYMhIgARIgARIgARIgARKIMwI0DAKA+sSJ3+Wdnj0FVwoJkAAJkAAJkAAJkAAJxEcCNAxiOGohIWelTbu2sn79enOlcRBDoMxOAiRAAiRAAiRAAiRwRwgkuSO1JtBKf//9d2McjB87TnLkuDfWenkmJESOHD4iKVNhnM0fAAAi2klEQVSmkPvvv19Sp04tCOveo4f079dPsmXNGmt1x1bB58+fF/zcki5dOsHPW27evCn79u+T++8L7bt3fFSej584IRkzZFCGKf0mv3r1qhw7dlSCgvLKPff8Y0OfPHnS5EubNq2T96+//pJTp07puOeQxIkTO+Hnzp2T69evS5YsWZww3CDsjz/+8AjDQ/r06QXlXrp0UWB03nfffR51Iw3qSZ48uUmHZ/TlljJxS4oUKcLVibYcPHhI8uXL6+R15zlz5oxcvnzZBCVJkkSy6nvk7os7Ldp/5MhhuXDhkmTOnEly5sxpom273Wlxny1bNkmWLJnTrwzKPk2aNN7J5MqVK3L69GlJl17HPm3o2EfUP8sxc+bM4cbywoULgjEEe19l2MpTp04jGTNmsI+8kgAJkAAJkMC/lgANgxgOPRQKGAJYNYBhEJvGwW+//SZ9+/dX5e6gR6tHjhgpQXlyy86dO+WaKkKxKdt37JCc9+cMuCL1yaefyuw5czya/sLzz0ubt97yCMPDZzNmyuSPJ8uwoUOlQvny4eKjEvDsc88ZI+rJypX9Jl+2fLkMGz5cwLfso4846YYMHSZQbN/r+a4TtnTpUhkxapSMGTVaypQp7YT37dc/XFpEHjh4QFq+/IqTzt681uo1ad6sqSxfsUJGalmdO3aURo0a2WhzHTR4iBQrVsykQwD64i2lS5eWsaNHm+BN334rEyZONO9NqpSp5PKVy1Ko0APStUtnKfzQQ07WYSNGyNdff+084+Y5LfuN1q2NUo9nKOIYq+mffYZHR4oXLy4Tx4932u1EhN1MmjDBtNn2q0b1Gh78bPqp06bJjJkztW/N5LVWrUxwRP2zHCs/UVkG9O9nizHXhYsWyXfff284+CrDJq5Tu4706P62feSVBEiABEiABP61BGgYBGDosToQ28bBvn375OVXXxUoQCNVWc2ePbvcuHFDfvr5ZylapIhgNjguBIpyl86dA24YYHa8aZMm0qJ5c6cbmLX2ll2//CIzVXGMC5k7b55AkV68ZLGHYfDoo2WMcfL3339LokSJTFM2bvrWXKGEW8Pg2rVrsvm7zdLz3Z5+mzvny9lmxt0m8O4zjI3y5StEugLV+/335YnHH7fFODP9u3fvlq7dusmzzzwjw4YMMSsQmEmf+MEH0r59B5k2barcp6scVho3aiwd2rfT1YyT8r+ffpKBgwaaFSgYaZD+AwbKpk2bjFFVsUIFYzBg5eO0rjZYwSrHTC/DIWnSpDbaXJevWG7qca+6wOiYO3eeRzr74K9/Nn7d+nWCH/4+fMm6NWsE4wVp/cabUqliRWnS5CXz7G9VxETyHxIgARIgARL4FxH4xz/iX9Tp2OiqNQ7uvTfUhciuHARqz8F4nfHFLG+/vn2MUYA+QIl8pEwZgduIlWPHjpmZ5o6qvI8eM0ZdYY7ZKIELzoqVq2TgwEHSsWMn+WjyZDl69KgTv2TpMtnwzQZZuHChdOveXd7t+Z4Er15t4qHkTpw0SWCgfDp1qinjhy1bTBzcNebNn2/SD9FZ/O++/8Epc+fOXfL5rFmyd+9e6dO3r7Tr0EHgduMtIWdD1HUli+kL+oOft5IMN5f3e/eWNm3eNAq7dxmBfMbqDPqKVYE1qlTCcLFSsmRJfQ6Rw4cPmyC0CwZAnVq1Ze3atTaZ/KplQEqVLOGEed8kS5bUKNdws8HP7bL0aJlHJH/+/DJ0+DBHqfXOb5/BypaBq1V2R40eIyinXdu2xihAeijj3bp0kZy5csmUKZ/YIpwr2oD3uXatmoKVh61bt5k4rBYFrw6W3u/3Eqy0oB4IjFT3ykMSdaVytwX31oBC+lIlS6lhmVHWrluHR0fAMHmK5Ka9TmDYjb/+2XTPNG4sw3Vl5/wFT3c0Gw/DxLYpsfYvsYuXZWXT8koCJEACJEAC/1YCNAwCOPJQpt595x2nRBgH4yaMd56jewOl/Ht1iXhe3TrciqOv8jqpwpc2bRp5vFIl2bptu86OvmEMAps2OHiVFCiQX2rUrCnbt+8wrkk2bsdOfe7bX1YFr5by5crJ9RvXjSK+YOECo5jmypnLJH3owQeNwoi9DJiFHTJsmFH+ixUrosp9NunUuZNs3rzZpD1+4riJ69Cpk8Boqqyz2m5DxtYNv/KLFy+rO9QuY6zcunXLRjlXuMME5ckj9erWc8Ji6wZGEtyUKilHzICvXhNqIKG+AvkLGMNk67ZQhfnnrVvNc4sWLeTknydl/4EDplk//fSzyQvFOTpy8+9b0lPfJ4z98hUrb7sIMNy2fZtUqVo13HsDRb1u7Vqya9dOv+UiP/ayYA8BZMuWH3X1IJtU1Nn2mEqjho3UAF3kUcyixUukQf0GIveErsJ4REby8Oorr0jSJEll/LgJkaRkNAmQAAmQAAmQgD8C4X01/KVkeKQEsDowYOBAJx02orZ9q43zHN2bE2pgQHLrPoLI5E01BF568UWT7OHChaWlKkxHjhzRDbRBZhYZfvlW8gblMfEn//zTY8Py4MGDJHWqVNKwQQOBP/vUqdOlfr36UrVqFRk8dIiUU6OhWNGipphffv1VVqg//KefTJFCBQuZsJCQM/LV3LkmHQIwuz5YXVIqPVbJxPv7Z8aMGbrPYLZJDxeeETpTDl96yMaNG2WlrnZ88cV/PWaf/ZUVk3CsaCxbtkzeeaeHqate3bpmRQSz0hAYZxXUjQYrJojbvPk78wzDEKs6MIry5c2rivQWeeyxxyJsSvOWLY1CaxMNGjhAHlTDCwJXsUKFCkmzpk1l5MjQfQ6ZMoUq6Ta9vcK9B8aVlSIPP6yb0kM39+bOHWrQ2Th7haF2WN8N9NcaayfUkEP78c59881GY+jUrx9qiB05esQYlTa/vyvKbKguSW75SsfVGrU3b92UavouTdF3Zv/+/boZOp/8+ecpM8bt2rSRnboy4S1Y5Rqre3msNFU3IPfeC7S/+9vdBIbx01WqeLh+2Ty8kgAJkAAJkAAJREyAhkHEfKIcC6PAbkBGJhgF48aMjdQ3PCoVpAxzFcKJLZFJieL/uK0UKFDAJA85e1aCwjIeOnRIfvzxR3NKy/lzoW4XZ1VxtycZFSlaxBgFtp5SpUoZH3tf7j9Is3fPXpN0yZKlskSWmvu9e/cZ1yHzEPZPBfWTj0im6YZW6zoE96YJ6rbUuUtXWb5sqdk/0btPX+nTp7dkUheUiAQrGIt15tlKoUIF5YEHHrCPUbquX/+12aD7119XZY26BmF2/eDBgzq7vksKq7EFeeSRMjJGxxez6mvWrnE2SVdSQ2DDhm+kUcOG6qP/P3n+P+E3Brsb0VlXUrCR2UquXKGn+9hnXLERFy5do3QzcT91x/Ile/ftl4uXLjlRGM98+UINg5s3bjrh7pvLPt6nn3/eKn/oqUs4oQgG3RfqBmZPHMJ7iFWwyARuQr16veeRzBoFNhBlwqUIm5FhzK5YucI827psOnt9Xvc4lCpV0j5KjjCXPSdAb8qWLSu1dCVs8ODBMnOG5+ZodzrekwAJkAAJkAAJ+CZAw8A3l9sKjU2jAA3BsZGYQT+oLiql1L89Ikmvxzz6k1XB6h/ep49ggymUZSjiS1Txdov3JtEsegwkBPsTfPliW5/uXOqvbgX31atXs4/Gn9xXXieB3lijAGFQDjFLjhNycCzpF1/MNr7n8PnHD4KTdVavDvX9hy+8FRgG6/SbElbgV367hsGCRQtNm2f9d5YtxvBfoicPWcOgZIkSpg0wHKBAl1FffEj58uXMTDg2IUPsiod58PEPVl5w1GZEgtnwnu+8K2+2eUuqKpN7fLjaNGvaxPj9u8vBZl7I4cOHpESJ4u4oc3/o0GHTT7tagMCaqlh36tjBHIlaX42b73/4wTEMChYsaFZtwNi9Z8C74LR6DCn4RCZ1atfWfQEjBG5AC3Rfy6s+TmmyZeCI1aiU2VZXHBo/86xMnjJFsusRqRQSIAESIAESIIGoE6BhEHVWPlPaD5zZmdRArhTYCqGEQbGb9cUX6s5T1ecZ9DZtRNeJEycJjmaE4gex+wDceQ6o8eFW/HAcJPzK8a0Eu2oAFxcrcHWBYBN0HvX/D5SgDZDMmTKbbzWgfLiduOX48eO68dVT+cPMNFyQoiuHdEPxVt0z8KkqlrZvKAsrIgPVxeqtN3Xjs7pZ4fsR4IJjO+E+ZL9T8IDygBGHI1UfVnce96k70W0T8hUvXswYdEP1VKi8QXmjVBSMPOwHmKNuXdWqVXPchZAZ34xYvHixVHn6aZ9loT+YyZ806QNz2hGMFxhYMMjmL1hg3Mx8ZryNwEqVHtM9Lv1k/ISJgrF8/PFKt5Hbd1J896JHj+7yXq9e8tSTT/pOxFASIAESIAESIAGfBLj52CeW6AXGhlFgW9JVfafhStTt7e5mJh0fucIxkfAtx+bkqEjWbFkFp//gI1TYGzBtenh3Cyho0z+boR+uumBcZz788CN56qlQBQszy3AT2fDNN8b/HacRFX7oQaMgjx471hxviTbu11l+HKMaVYFvPE41gnEF42P3nt36/YARuo+hmJlNf7llC3lfFT33D8p3U50lt2fdR7Uudzr01a5C4AoXpuX67QKcBOQ2CpCncuUnTNavN2xwiqhYsYLJj6MvrcAweeqpp2T37t+kXNlyNtjvFYYINivbX0THzrZ+rZUpBy5KUZXW+i0A9K1X797mtCj48uOd6a6bmi9evCjN1E3Jn+CI0wz6nQ64dUGw6bxlixZmlv8z3Q+Co1DRXowXjpG1Ahcs2x97tUalTYMrDCzs0fhq7lfG0IjoY3N4121ZuFpD3F2evYdB8LhucsdqDoUESIAESIAESCDqBLhiEHVWPlPiA2cTxo2TsfpxJ2w0xgbU2BB8OXa0bkD9/L//1eMrhxv3FdRjZq2nTY3QtSORJDJNat3qNfN15Go1Ql1v8PGwU6dPSVi0SYOjLTdu2qhHmX5knqvpCsXr+oErK1DEcSTpl19+aWbPX3zhBZmgJy8NGjRY2rZrZ5NJe72H60dELidOYr2BYQC3EgiU/sceq2i+l2AC/Pxzj66kxERw/Cp+VooWKWqU6DfeeN0GOVesmECJxcpBjerVTTi+V4B2P+L6+BkiKlYob/ZllCldysnv78bNDGlav9Za3aiamOSJ70nskQ1twClFnbt2DcfVHwoYOTPV0Bs5epQ5LQoFgm8Z3SMx6/OZ4fZsuMuBG1ZHPV62a7duUl9PgsKqxcu6WTp58uTGOPzgww+d9uFdskeW4mSmpl4GxyQ9UcpuWHf3C65L+BBZrVq1nLJwKpH3ezNO/77cgvd01KiRTpB3enwYbssPWyRxIs59OJB4QwIkQAIkQAKREEhUsEipUJ+NSBLG5+i5s6abDZ6YkYSvu7cSEd/6Bjcb+LUnT57MOXkmqn3AZtmzOsubTs+yd/v1Iz+OHb129Zo5ux8rBlAAoRx6C1YosNE1Q/r0zkkzSIPwS5cuS7p0aX3uR/Aux/sZqw1XdMUgo27Gje9j5N23u+EZY39ON5xnyJA+IHyxCoANzL7epbuhv2zDv4vATj1uGaeFUUiABEiABKJPgCsG0Wd3x3JCafZ3bGVkjYKrS2Qn+6CMiHzjYSxk8mEwINyXIRFZm2w8DLeI3ElsOl6jRwBjjxWuQAlcy9wblwNVLsshARIgARIgARK4MwS4zn5nuLNWEiABEiABEiABEiABErirCHDF4K4ajjvbmIYN6uuxpOG/OHxnW8XaSYAESIAESIAESIAE4oIADYO4oBxP6rBfLo4nzWUzSYAESIAESIAESIAEAkiArkQBhMmiSIAESIAESIAESIAESCC+EqBhEF9Hju0mARIgARIgARIgARIggQASoGEQQJgsigRIgARIgARIgARIgATiKwEaBvF15NhuEiABEiABEiABEiABEgggARoGAYTJokiABEiABEiABEiABEggvhKgYRBfR47tJgESIAESIAESIAESIIEAEqBhEECYLIoESIAESIAESIAESIAE4isBGgbxdeTYbhIgARIgARIgARIgARIIIAEaBgGEyaJIgARIgARIgARIgARIIL4SoGEQX0eO7SYBEiABEiABEiABEiCBABKgYRBAmCyKBEiABEiABEiABEiABOIrARoG8XXk2G4SIAESIAESIAESIAESCCABGgYBhMmiSIAESIAESIAESIAESCC+EqBhEF9Hju0mARIgARIgARIgARIggQASoGEQQJgsigRIgARIgARIgARIgATiKwEaBvF15NhuEiABEiABEiABEiABEgggARoGAYTJokiABEiABEiABEiABEggvhKgYRBfR47tJgESIAESIAESIAESIIEAEqBhEECYLIoESIAESIAESIAESIAE4isBGgbxdeTYbhIgARIgARIgARIgARIIIAEaBgGEyaJIgARIgARIgARIgARIIL4SoGEQgJE7ceJ3eadnT8GVQgIkQAIkQAIkQAIkQALxkQANgxiOWkjIWWnTrq2sX7/eXGkcxBAos5MACZAACZAACZAACdwRAknuSK0JtNLff//dGAfjx46THDnujbVengkJkSOHj0jKlCnk/vvvl9SpUwvCuvfoIf379ZNsWbPGWt2xVfD58+cFP7ekS5dO8HPLzZs35eixY3Lqz1Ny773ZTf/d8VG9P37ihMjff8t9993nM8vJkyfl2rVrpvxEiRJ5pPnrr79kz969kjVLFm2D5zifOXNGLl++7JHePiRJkiRc+nPnzsnBg4ckX768kjZtWpvUuaKdt7TPkBQpUkjmzJnFuz2I+1v7cky5ID5lypQI8hDEZciYUZIlTSp//PGHRxwe0qdPb+q/dOmiXLp0WbJly+aRBuUfP35csmifkydPLtevXzflgN8993jOLyDuyJHDcuHCJW1PJsmZM6cpy1/ZiLTleVSqD7ZdCLdjD8YZM2SUXLlySuLEib2zeDyD74ULF5w22Ehbny9eSH/16lXTV6R3j2ky7TvG3dcYeJdtn72vGTNl8hgHlIWx937X3fn2Hzgg2XVM8LfuFnfbbDjKw38XwBsTF96CsUUavAe3M37e5fCZBEiABEgg4RGgYRDDMc2YMYPAEMCqAQyD2DQOfvvtN+nbv78qkgc9Wj1yxEgJypNbdu7cKddUoYlN2b5jh+S8P6eg34GUTz79VGbPmeNR5AvPPy9t3nrLCQtevVqGDBkql69clqCgIHmkTBnp0L69E387N88+95xJ/vnMmZInd26PrDBQGjZubMJWrVghqVKlMvdQjPsPHChbt2510mfLmk1efeUVqV27lgkbNmKEfP311068+wZp5839ygRt+vZbmTBxohnLVClTmT4VKvSAdO3SWQo/9JCTzbbTBiAt+mzrs+FQ3Nu2ay9169aVl1u2sMHmun//PmnavIV8MGmSKvXJpOXLr3jE4+G1Vq9J82ZNZbn2d86cr2TW5597pIEx9JyOx4Rx46VEieJy4OABU87C+fONMYLEULYxjtM/+8wjb/HixWXi+PF+y0ZiW55HRn2w7dqrhliPd981xonllVENnXlffSVJ1djxJ8NHjpQ1a9bI8qVLPQwvW1/lJyrLgP79PLIvXLRIvvv+exk7erQJ9x5T1F+yVElp0ayZFC5c2CMvHg4dOiTNW7YMF24DevV8T/LmCwo3Drlz5ZL31CXRu0w7fs21vtdatbLFmKt322zkBl3BxFiOHBXaBxuO66QJEySFTirgPbid8XOXwXsSIAESIIGESYCGQQDGFasDsW0c7Nu3T15+9VWBIjNy+HDJnj273LhxQ376+WcpWqSIYGY0LmSY1t2lc+eAGwaY2WzapIm0aN7c6QZm2K38sGWLvN+7t3Tr2kWqPP20zpymsVExuq5cuVJaKVe3BAcHux/NPWaRO3fporPIWeXTT6ZIgfwFjCK8fMVyGTh4kGTMlFEqlC8v/fv2NTPbyPTxlCmyQ4210aqcQuzM+u7du6Vrt27y7DPPyLAhQ8ysLcqf+MEH0r59B5k2barclyOHyYN/+mmZj1eqJIcPH5IlS5eZ+vLqCoPbgEDZtWvXlmXLl0nLFs09ZrRXr1mrq0jZpMjDD+tKxx5T7pwvZ5vZfFuJm7UNu91r/wEDZdOmTWbVqmKFCpIsWTIzK31aZ/ijKv7aNWHCRDPrP/WTT8ysOXjt3rM3QqMA7xSMAijyq/XaoH79cM1Yt36d4Ie/q4ikcaPG0qljB7P6sFf/FufOmyetWrc2SnaxYsU8subPn1/WqhELwepRbTXWRo8aJcXD0oH13n17Tfz8ufPUYEljVqBgVKHM9WvXins8li5bbvoAg+VlNTjccSgE/Wrfrp0pD/9gNcC+a1gRmOllqMGQsu+Bk0lvAjF+7vJ4TwIkQAIkEP8IePoAxL/23zUttsaBdS2xKweB2nMwXmeXMaPcr28fYxSg41AQMGsOFxMrcBnBLGFHVd5Hjxlj3EtsHFwxVqxcJQMHDpKOHTvJR5Mny9GjR220UTo3fLNBFi5cKN26d5d3dWYTs/QQuNVM1BlnGCifTp1qyoCyDoHbxTydOUb6IUOH6mzrDyYc/+zcuUs+nzVLMOPbRxXcdh06CGafvSXkbIhkzZrF9AX9wc+tAH344UdGAapfr37AjILq1avLAu0ruLjlK1X6alSv4Q6S2bPnyIWLF6Vvnz5SqGAho3jBpQbteenFF2XgoEEmPVxboBDjB+UMfbDPtj+jRo+RR8s8Iu3atnVcmeBK0k0Nj5w6azxlyicedUPRQ958+fKb1QlE7tCVG2+p8vRTZkb9l19+caJu3bolS9WYwEoCyrGSLFlSp122rTYuOlesJAWvDpbe7/eSJytXNmWjHBiwbgMmsrL9tQsGVqXHHnNcacCrtM7aRySrVq0UzMK31BUUKPK+5BldGRquK27nL3i6sflKizDUW7JECendq5c89dRTaqz2CZcUnO2Y29WMZElD3wlv1vfck8i86zDuWzQLNYr379/vlIm/uwULFkoXfTeu/nVVvteVDG9JnPifdwzl2zqRLonrfbRtcr8HtqxAjZ8tj1cSIAESIIH4SYCGQQDHDcbBu++845QI42DchPHOc3RvoBxAIXhe3V/sTKC/sjqpAoEZSMwwb922XVq/8YaH4hscvEoKFMgvNWrWlO3bdxjXJFvWjp363Le/rApeLeXLlZPrN66bWfoFCxcYH/ZcOXOZpA89+KCULl3a7GWAC8uQYcOM8l+sWBFV7rNJp86dZPPmzSbt8RPHTVyHTp2Mf33lxx/3MGRs3adPn5aLFy8bQwLGChRaK1Dafvn1F6lSpYps27ZN1uiM6qHDh210tK9PVn5CfbBD5Icf/jFkfv31V+Pe87Qq2W75dfdvUqFceZ8rJdWqVjXloA+RCfq1bfs2qaJ5vMcSClvd2rVk166dfotBeyGZ1E/dW4LUvQrGY/DqNU4UFOqTf54U7/44CQJ0s2XLj2ZVomLFigEq0bMYuC/Nnj3buOl4xvh+wnsJY7VevXpmhQkG7e49u8MlhhtY0iRJZfy4CeHiIgqAAVhPjS2whZ9/IAT/vYBkyPCPm95GXYGBVH7icalWraosXLTYPAf6n9gev0C3l+WRAAmQAAnEDoEksVPsv7NUrA4MUB90KznUHaTtW23sY7SvJ8IUhty6jyAyeVMNAcxgQx5W/+eWqvgcOXJEoDRCmRmmM/pW8gblMfEn//zTY8PyYHWNSa1+9Q0bNJBBg4fI1KnTzcx41apVZPDQIVJOjYZiRYuaYn5RRXqF+jLDvQYz6ZCQkDPy1dy5Jl3oc4gMHjRQZ3wrmXh//8yYMUP3Gcw2SjbcP0YMHyZw07AK03D134ekTJHSGApNXnpJ3nj9dX/FRRoOd6TaNWvJkmXLnLbCbQNhmBl2y65du+T5//zHHeTcY1Ycgg2i2MwakRw7dtxE584damR5p8WK02EdL6yq2JUgGCtYndijrjOr16w2s+Dlypb1zmqea9eqKVhdefON180qQ7AaeQ89+FC4fRTwgYdCbGXQwAHyoBp8ENTfUF1n3AIjMSI5cvSIMTgjShOVOH/t6qoG7zvv9pQX1d0M7xHGAsaCP4FBhH5UVWMSG6axQoOVk0LtQ99Rmw+Mu7/dTWBQP61pyz76iI2K9FqwQAGTBq5h+JuIjkAhT5kqpTF4sScAq1jujd9wH6qpRjzGv0aNGvK6/n2fOnXK2RiNOvfs2SNzdK+FFeTHxADk1KnTHnFqewrcorwlUOPnXS6fSYAESIAE4hcBGgYBGi8YBXYDMoqEUTBuzNiAnE6UMsxV6MqVK5G2tkTxEk6aAmGKS8jZsxIUFoqNkT/++KPgtJvz50LdJ87qLLQ9yahI0SLGKLCFlCpVShYvWezT/Qdp9qqyClmyZKkskaXmfu/efcZ1yDyE/VOhfAX3Y7j7aepfbV1tsGIwQd2WOnfpKsuXLZUrl0Ndj6o8XcX4zyPz1xs2SA9dnalbp47HiTOYKV68eIlTfqFCBeWBBx5wnr1vaqoi3UZderroigaUr2VqJAxV48eX3Lhx01ewXPHhGuUzoQZCMYPc9FPWZR9jvFLdv77VFZgTx08YV6NJH0/0GKPQEkP/rfzEEzJKN83++L+fpFTJEqY/b7ze2p3E3HfW/rpnpnHCjxVs6nWvfCH82rWr0vXtt22ScFe8o9aACxd5GwH+2gVld/JHH8oWfXe/+mquvNW2jVFwO3Zo7+EiZavCO4B9Fdu2bzdBmdRgwzv6uvrwW4PLpi2rRlYtVb4HDx4sM2d4bpy2aXxd7apW6jTR3+8yddpUSaruP1jRaNSwoXRUVzsr+BvFSmGhggXNKtnft/42UStXrZIXX3jBJjPcf/zf/5znggUKOoYBNuq745DIl2EQqPFzGsEbEiABEiCBeEmAhkEAhi02jQI0L6seP4oZ9IM6I12qZMR+1enTp/Pbo1W6qba3+shDMYCyDEV8iSrebnH7JyM8S9gMOPzwseLgLdY3O5f6clvBffXq1eyjut9k9JnXSaA31ihAGI63bNa0qTndZ5+eqGP7VL9+PScLNvpCcGyoPQ4TzzAM1umJLFbgVx2RYYANoVAgV+teitRp0uqRnhnMJtGdukLglrxBeeWA8vclhw+FujW5Nwz7Socwu7qAjcS+ZrwPaVng5VZe27Vra/z2sbEXyvmxY0ed1Rnveszs+KOPymod679v3TSnHVWuXNk7mVnx8be6kVYV3TJlSnvkicwoLajKKwwY8Pflw+5RWAQPWIny1y6Uiz01+GGvTN9+faVx40bhVkMuXbpkjFnsL5g6bZpTG5TkbzZuNK5FTmDYTds2amg886xM1g3jOBY0KrIvbC+AXTmISh7vNOPHjTP9xf6dVauCdaXnDee42eXL9UQs/buHUYgfBO8qXKRwYpflXElXB7Ax2peAwaABA3xFeYQFavw8CuUDCZAACZBAvCNAwyCGQ2Y/cGZnSwO5UmCbBgUASuSsL76Qquqb7u3mYtNFdp04cZLUqV3HUSLsPgB3Pii/buUOxzpCGcH56XbTME5DslKoUKhrBpS1PHny2OAYX9EGSOZMmZ3jQg8ePCiZVGmGwP0JAkXYLfDbhwtSVAXpG6jL1HzdhJw+XXrjN+7t+4+yKj1WUcaoEoejQN39xKzxl+r+FBQUZFaJIqsXhhf88Oeoq1W1atU8DAAck7p48WKfiivKraAn/ZQrW85slv1AN6P7aifS1ahWXfeO9JOb2jYYUL72IyBdIAXGFxTv+QsWGBe0QJbtq6zy5UJdqc7paph4HTe7dt06o1BP003yMAyt9Os/QH30F/nki28I9OjRXd7DpuInn7RZ/F6x72fipA/UwCrmMYZ+M0QSAUN43rz5Mm36dLOqAUN87ry50qrVq/Lcs886uY8cOSrPv/iC7g/abtzsnIgY3sT1+MWwucxOAiRAAiQQSwT+D+mIxR4yy0tHAAAAAElFTkSuQmCC"
    }
   },
   "cell_type": "markdown",
   "id": "40a5b012",
   "metadata": {},
   "source": [
    "In the second function, identify_comparison_table_URL_part1(), we pass in a url like https://library.municode.com/VA/accomack_county. These individual town/county pages look like this:\n",
    "\n",
    "   ![image.png](attachment:44194c9e-5710-4088-84f3-ceecbd8427b7.png)\n",
    "\n",
    "What we're interested in here is the menu bar on the left hand side of the page. You will see in the code below a series of try/except statements that look for different id tags. These tags represent \"State Law Reference Tables\" and are referred to as STLARETA, STRETA, COOR_STRETA, and STATE_LAW_REFERENCE_TABLE. There is much information present in these town/county pages but this is the only thing we care about for this project, since it contains a table that compares the law codes for the State of Virginia to the law codes for that specific town/county. This is useful for CodeForCharlottesville and the LAJC Virginia Criminal Expungement initiative because it allows us to create a mapping of all the various law codes for the towns and counties across Virginia to the law codes for the State. Why is this significant? The new laws that have relaxed Virginia's draconian criminal expungmenet policies necessitate this mapping to be known in order for offenders to have their crimes expunged from the records. This is challenging because each town/county has different record keeping policies, which confuses the process of unilaterally expunging people who the State of Virginia has decided eligible for expungement. On top of this challenge, there are clerical (human) errors in some of the record keeping that make this matching even more difficult. We will explore those later on in the Notebook."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "6dbe5186",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "example url: https://library.municode.com/VA/accomack_county\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "'https://library.municode.com/va/accomack_county/codes/code_of_ordinances?nodeId=STLARETA'"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def identify_comparison_table_URL_part1(url):# 'https://library.municode.com/VA/accomack_county'):\n",
    "    options = webdriver.ChromeOptions()\n",
    "    options.add_argument(\"--start-maximized\")\n",
    "    options.add_argument(\"--headless\")\n",
    "    options.add_argument(\"--window-size=1920,1080\")\n",
    "\n",
    "    driver = webdriver.Chrome('/Users/holdenbruce/Downloads/chromedriver3', options=options)\n",
    "\n",
    "    # set implicit wait time so that apis/javascript load before we scrape\n",
    "    driver.implicitly_wait(5)  # seconds\n",
    "\n",
    "    driver.get(url)\n",
    "    driver.get_screenshot_as_file(\"headless.png\")\n",
    "    \n",
    "    \n",
    "    try:\n",
    "        ref_table = driver.find_element_by_xpath(xpath=\"//*[@id='genToc_STLARETA']/a[2]\")\n",
    "        url = ref_table.get_attribute(\"href\")\n",
    "        return url\n",
    "    except:\n",
    "        pass\n",
    "    try:\n",
    "        ref_table = driver.find_element_by_xpath(xpath=\"//*[@id='genToc_STRETA']/a[2]\")\n",
    "        url = ref_table.get_attribute(\"href\")\n",
    "        return url\n",
    "    except:\n",
    "        pass\n",
    "    try:\n",
    "        ref_table = driver.find_element_by_xpath(xpath=\"//*[@id='genToc_THCH_STRETA']/a[2]\")\n",
    "        url = ref_table.get_attribute(\"href\")\n",
    "        return url\n",
    "    except:\n",
    "        pass\n",
    "    try:\n",
    "        ref_table = driver.find_element_by_xpath(xpath=\"//*[@id='genToc_STATE_LAW_REFERENCE_TABLE']/a[2]\")\n",
    "        url = ref_table.get_attribute(\"href\")\n",
    "        return url\n",
    "    except:\n",
    "        pass\n",
    "    try:\n",
    "        ref_table = driver.find_element_by_xpath(xpath=\"//*[@id='genToc_COOR_STRETA']/a[2]\")\n",
    "        url = ref_table.get_attribute(\"href\")\n",
    "        return url\n",
    "    except:\n",
    "        pass\n",
    "    \n",
    "ex = town_urls.loc[0,'urls']\n",
    "print(\"example url:\",ex)\n",
    "\n",
    "# now let's see what useful URL the function can find for us\n",
    "identify_comparison_table_URL_part1(ex)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b40efbbe",
   "metadata": {},
   "source": [
    "In this version() function, we are extracting the date the records were last updated. This should vary depending on the municipality and while it doesn't necessarily matter when records were last updated, it should be kept track of in case of incongruity. Our hope is that this little tracker will aid the future practitioner in their identification of outdated information. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "51b13d96",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'JAN 12, 2022 (CURRENT)'"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def version(url):\n",
    "\n",
    "    options = webdriver.ChromeOptions()\n",
    "    options.add_argument(\"--start-maximized\")\n",
    "    options.add_argument(\"--headless\")\n",
    "    options.add_argument(\"--window-size=1920,1080\")\n",
    "\n",
    "    driver = webdriver.Chrome('/Users/holdenbruce/Downloads/chromedriver3', options=options)\n",
    "\n",
    "    # set implicit wait time so that apis/javascript load before we scrape\n",
    "    driver.implicitly_wait(5)  # seconds\n",
    "\n",
    "    driver.get(url)\n",
    "    driver.get_screenshot_as_file(\"headless.png\")\n",
    "    \n",
    "    try:\n",
    "        version = driver.find_element_by_xpath(xpath=\"//*[@id='codebankToggle']/button[text()]\")\n",
    "        #url = version.get_attribute()\n",
    "        #print(\"version:\",version)\n",
    "        #print(\"version:\",version.text)\n",
    "        version = version.text\n",
    "        \n",
    "        version = version.split(\":\")[-1].strip()#.split(\"(\")[0].strip()\n",
    "        \n",
    "\n",
    "    except:\n",
    "        #print(\"couldn't get the version text\")\n",
    "        version = ''\n",
    "        pass\n",
    "    \n",
    "    \n",
    "    \n",
    "    return version\n",
    "\n",
    "# using the same url example as above:\n",
    "v = version(ex)\n",
    "v"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bbd8d1b3",
   "metadata": {},
   "source": [
    "This scraper() function is the heavy hitter, where all the action really happens. By looping through the list of URLs we made in the first function, we pass in each URL alongside the corresponding town/county. That URL is passed into the identify_comparison_table_URL_part1() function so that we can find and extract the URL that leads to the State Law Reference Table we are looking for; these links typically look like this: https://library.municode.com/va/accomack_county/codes/code_of_ordinances?nodeId=STLARETA. As discussed previously, STLARETA is merely one of many nodeIDs that represent the same information in municode: the state law reference table. So, we extract the nodeID for this town/county and save it to a variable. Our goal here is to compare that nodeID against the list of nodeIDs we have identified as holding state law reference tables within Municode: STLARETA, STATE_LAW_REFERENCE_TABLE, COOR_STRETA, STRETA, THCH_STRETA. \n",
    "- If the nodeID is not in this list, then we know that the link contains information we are not interested in, so we skip it. While that is unfortunate, the reality is that not every town and county has the information we need for this project. Some data is more available than other, and it just so happens that state law reference tables are not always accessible. \n",
    "- However, if the nodeID is on the list, then we will go to the respective xpath locations on the webpage and extract the state law reference tables. The tables at each nodeID xpath destination has different characters (shape, placement), which we have accounted for in the scrape. In the final steps of this function, we extract the information from the tables, save them down to a dataframe, clean them up slightly, and then save them to a CSV file in a folder with all the other towns and counties we were able to find state law reference table data for."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "e22eb05e",
   "metadata": {},
   "outputs": [],
   "source": [
    "def scraper(url,town):\n",
    "    # silence \n",
    "    options = webdriver.ChromeOptions()\n",
    "    options.add_argument(\"--start-maximized\")\n",
    "    options.add_argument(\"--headless\")\n",
    "    options.add_argument(\"--window-size=1920,1080\")\n",
    "\n",
    "\n",
    "    driver = webdriver.Chrome('/Users/holdenbruce/Downloads/chromedriver3', options=options)\n",
    "\n",
    "    \n",
    "    # set implicit wait time so that apis/javascript load before we scrape \n",
    "    driver.implicitly_wait(5) # seconds\n",
    "\n",
    "    print(\"URL passed in\",url)\n",
    "    # url of the county\n",
    "    try:\n",
    "        url = identify_comparison_table_URL_part1(url)\n",
    "        print(\"URL we're targeting:\",url)\n",
    "    \n",
    "        # define the nodeID by taking the last piece of the ULR after the \"=\"\n",
    "        nodeID = url.split(\"=\")[-1]\n",
    "\n",
    "        # define the nodeIDs that we care about (discovered by team through manual check of Municode)\n",
    "        nodeIDs = [\n",
    "            'STLARETA',\n",
    "            'STATE_LAW_REFERENCE_TABLE',\n",
    "            'COOR_STRETA',\n",
    "            'STRETA',\n",
    "            'THCH_STRETA'\n",
    "        ]\n",
    "\n",
    "        # if nodeID not what we want, break\n",
    "        if nodeID not in nodeIDs:\n",
    "            print(f\"pass: {town} empty\")\n",
    "            # define an empty dataframe\n",
    "            df_empty = pd.DataFrame({'town' : []})\n",
    "\n",
    "            # now write that empty dataframe to CSV\n",
    "            df.to_csv(f'countyCSV/{town}.csv', index=False)  \n",
    "            pass\n",
    "\n",
    "        # if nodeID what we want, do this\n",
    "        else:\n",
    "            if nodeID == 'STLARETA':\n",
    "                # xpath of the table in the webpage created by javascript \n",
    "                xpath = \"/html/body/div[1]/div[2]/ui-view/mcc-codes/div[2]/section/div[1]/mcc-codes-content/div/div[2]/ul/li/mcc-codes-content-chunk/div/div/div[2]/div/div/div/div[2]/table\"\n",
    "    # #                     \"/html/body/div[1]/div[2]/ui-view/mcc-codes/div[2]/section[2]/div[1]/mcc-codes-content/div/div[2]/ul/li/mcc-codes-content-chunk/div/div/div[2]/div/div/div/div[2]\n",
    "            elif nodeID == 'STRETA':\n",
    "                xpath = \"/html/body/div[1]/div[2]/ui-view/mcc-codes/div[2]/section[2]/div[1]/mcc-codes-content/div/div[2]/ul/li/mcc-codes-content-chunk/div/div/div[2]/div/div[2]/div/div[2]/table\"\n",
    "\n",
    "            elif nodeID == 'STATE_LAW_REFERENCE_TABLE':\n",
    "                xpath = \"/html/body/div[1]/div[2]/ui-view/mcc-codes/div[2]/section[2]/div[1]/mcc-codes-content/div/div[2]/ul/li/mcc-codes-content-chunk/div/div/div[2]/div/div/div/div[2]/table\"\n",
    "\n",
    "            elif nodeID == 'COOR_STRETA':\n",
    "                xpath = \"/html/body/div[1]/div[2]/ui-view/mcc-codes/div[2]/section[2]/div[1]/mcc-codes-content/div/div[2]/ul/li/mcc-codes-content-chunk/div/div/div[2]/div/div/div/div[2]/table\"\n",
    "\n",
    "            elif nodeID == 'THCH_STRETA':\n",
    "                xpath = \"/html/body/div[1]/div[2]/ui-view/mcc-codes/div[2]/section[2]/div[1]/mcc-codes-content/div/div[2]/ul/li/mcc-codes-content-chunk/div/div/div[2]/div/div/div/div[2]/table\"\n",
    "\n",
    "            driver.get(url)\n",
    "\n",
    "            # use xpath to get to the table\n",
    "            data = driver.find_elements_by_xpath(xpath)\n",
    "            #print(\"data:\",data)\n",
    "            #if \n",
    "\n",
    "            # use outerHTML to maintain the html/css/javasript code pulled from the webpage \n",
    "            table = data[0].get_attribute(\"outerHTML\")\n",
    "            #print(\"table:\",table)\n",
    "\n",
    "            # https://stackoverflow.com/questions/41214702/parse-html-and-read-html-table-with-selenium-python\n",
    "\n",
    "            # convert that table into a pandas dataframe\n",
    "            df = pd.read_html(table)\n",
    "            df = df[0]\n",
    "\n",
    "\n",
    "            # rename the columns\n",
    "            df = df.rename(columns={'Code of Virginia  Section': \"Virginia\", \"Section this Code\":town})\n",
    "\n",
    "            #print(url)\n",
    "\n",
    "            # now write to CSV\n",
    "            df.to_csv(f'countyCSV_March7/{town}.csv', index=False)  \n",
    "\n",
    "            return df\n",
    "    except:\n",
    "        print(f\"could not scrape for {town}\")\n",
    "        pass"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7e205b30",
   "metadata": {},
   "source": [
    "The following few lines showcase examples of different state law reference table nodeIDs and what the end result becomes."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "93cdf3f2",
   "metadata": {},
   "source": [
    "### STLARETA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "bb17d00f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "URL passed in https://library.municode.com/va/accomack_county\n",
      "URL we're targeting: https://library.municode.com/va/accomack_county/codes/code_of_ordinances?nodeId=STLARETA\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0</th>\n",
       "      <th>1</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Code of Virginia  Section</td>\n",
       "      <td>Section this Code</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1-13 et seq.</td>\n",
       "      <td>Ch. 1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1-13.3</td>\n",
       "      <td>1-2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1-13.6, 1-13.7</td>\n",
       "      <td>1-2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1-13.9</td>\n",
       "      <td>1-4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>401</th>\n",
       "      <td>62.1-44.15:46</td>\n",
       "      <td>38-98</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>402</th>\n",
       "      <td>62.1-148 et seq.</td>\n",
       "      <td>Ch. 102, Art. II</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>403</th>\n",
       "      <td>62.1-255</td>\n",
       "      <td>106-376</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>404</th>\n",
       "      <td>63.1-164</td>\n",
       "      <td>22-88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>405</th>\n",
       "      <td>68.1-1200 et seq.</td>\n",
       "      <td>22-88</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>406 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                             0                  1\n",
       "0    Code of Virginia  Section  Section this Code\n",
       "1                 1-13 et seq.              Ch. 1\n",
       "2                       1-13.3                1-2\n",
       "3               1-13.6, 1-13.7                1-2\n",
       "4                       1-13.9                1-4\n",
       "..                         ...                ...\n",
       "401              62.1-44.15:46              38-98\n",
       "402           62.1-148 et seq.   Ch. 102, Art. II\n",
       "403                   62.1-255            106-376\n",
       "404                   63.1-164              22-88\n",
       "405          68.1-1200 et seq.              22-88\n",
       "\n",
       "[406 rows x 2 columns]"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "scraper('https://library.municode.com/va/accomack_county',\"accomack_county\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1c4a2644",
   "metadata": {},
   "source": [
    "### STRETA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "0a4609d4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "URL passed in https://library.municode.com/va/amherst_county\n",
      "URL we're targeting: https://library.municode.com/va/amherst_county/codes/code_of_ordinances?nodeId=STRETA\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0</th>\n",
       "      <th>1</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Code of  Virginia  Section</td>\n",
       "      <td>Section  this Code</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1-7</td>\n",
       "      <td>1-7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1-9</td>\n",
       "      <td>1-8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1-10 et seq.</td>\n",
       "      <td>1-7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1-12</td>\n",
       "      <td>1-8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>524</th>\n",
       "      <td>62.1-44.19:3.3</td>\n",
       "      <td>13-104</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>525</th>\n",
       "      <td>62.1-44.19:13(C)</td>\n",
       "      <td>App. A, § 917</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>526</th>\n",
       "      <td>62.1-44.34:8</td>\n",
       "      <td>11.5-39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>527</th>\n",
       "      <td>63.1-196</td>\n",
       "      <td>App. A, § 302</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>528</th>\n",
       "      <td>63.2-2200</td>\n",
       "      <td>App. A, § 302</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>529 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                              0                   1\n",
       "0    Code of  Virginia  Section  Section  this Code\n",
       "1                           1-7                 1-7\n",
       "2                           1-9                 1-8\n",
       "3                  1-10 et seq.                 1-7\n",
       "4                          1-12                 1-8\n",
       "..                          ...                 ...\n",
       "524              62.1-44.19:3.3              13-104\n",
       "525            62.1-44.19:13(C)       App. A, § 917\n",
       "526                62.1-44.34:8             11.5-39\n",
       "527                    63.1-196       App. A, § 302\n",
       "528                   63.2-2200       App. A, § 302\n",
       "\n",
       "[529 rows x 2 columns]"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# https://library.municode.com/va/amherst_county/codes/code_of_ordinances?nodeId=STRETA\n",
    "\n",
    "scraper('https://library.municode.com/va/amherst_county',\"amherst_county\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dbf49f70",
   "metadata": {},
   "source": [
    "### STATE_LAW_REFERENCE_TABLE"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "3e1b2ee6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "URL passed in https://library.municode.com/va/bedford\n",
      "URL we're targeting: https://library.municode.com/va/bedford/codes/code_of_ordinances?nodeId=STATE_LAW_REFERENCE_TABLE\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0</th>\n",
       "      <th>1</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Code of  Virginia  Section</td>\n",
       "      <td>Section this Code</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1-13.1</td>\n",
       "      <td>1-2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1-13.1—1-15</td>\n",
       "      <td>1-2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1-13.3</td>\n",
       "      <td>1-2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1-13.6, 1-13.7</td>\n",
       "      <td>1-2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>547</th>\n",
       "      <td>62.1-44.2 et seq.</td>\n",
       "      <td>Ch. 58, Art. III</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>548</th>\n",
       "      <td>63.1-175</td>\n",
       "      <td>CHLDC, § 302</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>549</th>\n",
       "      <td>NaN</td>\n",
       "      <td>CHLDC, § 604</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>550</th>\n",
       "      <td>63.1-196</td>\n",
       "      <td>CHLDC, § 302</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>551</th>\n",
       "      <td>NaN</td>\n",
       "      <td>CHLDC, § 604</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>552 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                              0                  1\n",
       "0    Code of  Virginia  Section  Section this Code\n",
       "1                        1-13.1                1-2\n",
       "2                   1-13.1—1-15                1-2\n",
       "3                        1-13.3                1-2\n",
       "4                1-13.6, 1-13.7                1-2\n",
       "..                          ...                ...\n",
       "547           62.1-44.2 et seq.   Ch. 58, Art. III\n",
       "548                    63.1-175       CHLDC, § 302\n",
       "549                         NaN       CHLDC, § 604\n",
       "550                    63.1-196       CHLDC, § 302\n",
       "551                         NaN       CHLDC, § 604\n",
       "\n",
       "[552 rows x 2 columns]"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# https://library.municode.com/va/bedford/codes/code_of_ordinances?nodeId=STATE_LAW_REFERENCE_TABLE\n",
    "\n",
    "scraper('https://library.municode.com/va/bedford',\"bedford\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7985c94e",
   "metadata": {},
   "source": [
    "### COOR_STRETA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "8ed5ecd9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "URL passed in https://library.municode.com/va/colonial_beach\n",
      "URL we're targeting: https://library.municode.com/va/colonial_beach/codes/code_of_ordinances?nodeId=COOR_STRETA\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Virginia</th>\n",
       "      <th>Disposition</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1-13.1</td>\n",
       "      <td>1-2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1-13.9</td>\n",
       "      <td>1-3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2.1-114.5:1</td>\n",
       "      <td>Ch. 2, Art. III</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2.2-614.1</td>\n",
       "      <td>20-6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2.2-3700 et seq.</td>\n",
       "      <td>2-105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>393</th>\n",
       "      <td>59.1-142, 59.1-143  10-7</td>\n",
       "      <td>59.1-142, 59.1-143  10-7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>394</th>\n",
       "      <td>59.1-144</td>\n",
       "      <td>10-7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>395</th>\n",
       "      <td>NaN</td>\n",
       "      <td>10-8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>396</th>\n",
       "      <td>59.1-145—59.1-148  10-7</td>\n",
       "      <td>59.1-145—59.1-148  10-7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>397</th>\n",
       "      <td>62.1-176</td>\n",
       "      <td>5-3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>398 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                     Virginia               Disposition\n",
       "0                      1-13.1                       1-2\n",
       "1                      1-13.9                       1-3\n",
       "2                 2.1-114.5:1           Ch. 2, Art. III\n",
       "3                   2.2-614.1                      20-6\n",
       "4            2.2-3700 et seq.                     2-105\n",
       "..                        ...                       ...\n",
       "393  59.1-142, 59.1-143  10-7  59.1-142, 59.1-143  10-7\n",
       "394                  59.1-144                      10-7\n",
       "395                       NaN                      10-8\n",
       "396   59.1-145—59.1-148  10-7   59.1-145—59.1-148  10-7\n",
       "397                  62.1-176                       5-3\n",
       "\n",
       "[398 rows x 2 columns]"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "scraper('https://library.municode.com/va/colonial_beach',\"colonial_beach\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8bb80a4a",
   "metadata": {},
   "source": [
    "### THCH_STRETA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "4b8f2e62",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "URL passed in https://library.municode.com/va/berryville\n",
      "URL we're targeting: None\n",
      "could not scrape for berryville\n"
     ]
    }
   ],
   "source": [
    "# https://library.municode.com/va/berryville/codes/code_of_ordinances?nodeId=THCH_STRETA\n",
    "\n",
    "scraper('https://library.municode.com/va/berryville',\"berryville\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d1c43148",
   "metadata": {},
   "source": [
    "In this step, we are creating the flagDF dataframe that calls the version() function, indicating the town/county and the date their records were last updated. This dataframe is then exported to a CSV after all the towns and counties have run through the scraper. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2b9e43c8",
   "metadata": {},
   "outputs": [],
   "source": [
    "flagDF = pd.DataFrame()\n",
    "\n",
    "for ind in town_urls.index:\n",
    "    url = town_urls.loc[ind,'urls']\n",
    "    #print(url)\n",
    "    town = town_urls.loc[ind,'county']\n",
    "    #print(town)\n",
    "    \n",
    "    flagDF.loc[ind,'locality'] = town\n",
    "    flagDF.loc[ind,'version'] = version(url)\n",
    "    \n",
    "flagDF.to_csv('flagDF.csv', index=False) \n",
    "\n",
    "flagDF"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e6899f0d",
   "metadata": {},
   "source": [
    "# Run it\n",
    "In the final step of this Jupyter Notebook, we actually run through all of the towns and counties in the Virginia Municode page. While there are +130 towns and counties in Virginia, we were only able to extract state law reference table data for 85 of them. The scraper() functiotn is called on each URL in the list of urls we ran in Step 1. Alongside each iteration through this loop, we print out the results of the scraper or indicate if the town/county did not have the state law reference table we were looking for. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "f215f8b1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "URL passed in https://library.municode.com/VA/accomack_county\n",
      "URL we're targeting: https://library.municode.com/va/accomack_county/codes/code_of_ordinances?nodeId=STLARETA\n",
      "                             0                  1\n",
      "0    Code of Virginia  Section  Section this Code\n",
      "1                 1-13 et seq.              Ch. 1\n",
      "2                       1-13.3                1-2\n",
      "3               1-13.6, 1-13.7                1-2\n",
      "4                       1-13.9                1-4\n",
      "..                         ...                ...\n",
      "401              62.1-44.15:46              38-98\n",
      "402           62.1-148 et seq.   Ch. 102, Art. II\n",
      "403                   62.1-255            106-376\n",
      "404                   63.1-164              22-88\n",
      "405          68.1-1200 et seq.              22-88\n",
      "\n",
      "[406 rows x 2 columns]\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/albemarle_county\n",
      "URL we're targeting: None\n",
      "could not scrape for albemarle_county\n",
      "None\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/alexandria\n",
      "URL we're targeting: None\n",
      "could not scrape for alexandria\n",
      "None\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/alleghany_county\n",
      "URL we're targeting: https://library.municode.com/va/alleghany_county/codes/code_of_ordinances?nodeId=STLARETA\n",
      "                              0                  1\n",
      "0    Code of  Virginia  Section  Section this Code\n",
      "1                  1-13 et seq.                1-2\n",
      "2                        1-13.9                1-3\n",
      "3              2.2-3700 et seq.              Ch. 2\n",
      "4                      2.2-4027              52-14\n",
      "..                          ...                ...\n",
      "387               62.1-44.15:35               52-7\n",
      "388               62.1-44.15:40              52-12\n",
      "389                     63.1-17             66-678\n",
      "390                    63.1-172              66-93\n",
      "391                         NaN             66-168\n",
      "\n",
      "[392 rows x 2 columns]\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/altavista\n",
      "URL we're targeting: https://library.municode.com/va/altavista/codes/code_of_ordinances?nodeId=STLARETA\n",
      "    Code of  Virginia  Section altavista\n",
      "0                 1-13 et seq.       1-2\n",
      "1                 1-13—1-13.34       1-2\n",
      "2                     1-13.1:1       1-2\n",
      "3                       1-13.9       1-3\n",
      "4                      1-13.19       1-2\n",
      "..                         ...       ...\n",
      "647          62.1-44.2 et seq.    Ch. 78\n",
      "648                  62.1-44.3      78-3\n",
      "649                   62.1-194    62-118\n",
      "650                   63.1-164     70-43\n",
      "651                  63.2-2200     86-22\n",
      "\n",
      "[652 rows x 2 columns]\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/amherst\n",
      "URL we're targeting: https://library.municode.com/va/amherst/codes/code_of_ordinances?nodeId=STLARETA\n",
      "    Code of Virginia Section           amherst\n",
      "0                  1-13.39.2              20-3\n",
      "1              1-200 et seq.               1-2\n",
      "2           2.2-4367 et seq.              2-56\n",
      "3                  title 3.2             Ch. 4\n",
      "4           3.2-6500 et seq.    Ch. 4, Art. II\n",
      "..                       ...               ...\n",
      "201                58.1-3984             8-213\n",
      "202                        —             8-220\n",
      "203                58.1-3986             8-209\n",
      "204                58.1-3993             8-209\n",
      "205        58.1-3700 et seq.  Ch. 8, Art. VIII\n",
      "\n",
      "[206 rows x 2 columns]\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/amherst_county\n",
      "URL we're targeting: https://library.municode.com/va/amherst_county/codes/code_of_ordinances?nodeId=STRETA\n",
      "                              0                   1\n",
      "0    Code of  Virginia  Section  Section  this Code\n",
      "1                           1-7                 1-7\n",
      "2                           1-9                 1-8\n",
      "3                  1-10 et seq.                 1-7\n",
      "4                          1-12                 1-8\n",
      "..                          ...                 ...\n",
      "524              62.1-44.19:3.3              13-104\n",
      "525            62.1-44.19:13(C)       App. A, § 917\n",
      "526                62.1-44.34:8             11.5-39\n",
      "527                    63.1-196       App. A, § 302\n",
      "528                   63.2-2200       App. A, § 302\n",
      "\n",
      "[529 rows x 2 columns]\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/ashland\n",
      "URL we're targeting: None\n",
      "could not scrape for ashland\n",
      "None\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/bedford\n",
      "URL we're targeting: https://library.municode.com/va/bedford/codes/code_of_ordinances?nodeId=STATE_LAW_REFERENCE_TABLE\n",
      "                              0                  1\n",
      "0    Code of  Virginia  Section  Section this Code\n",
      "1                        1-13.1                1-2\n",
      "2                   1-13.1—1-15                1-2\n",
      "3                        1-13.3                1-2\n",
      "4                1-13.6, 1-13.7                1-2\n",
      "..                          ...                ...\n",
      "547           62.1-44.2 et seq.   Ch. 58, Art. III\n",
      "548                    63.1-175       CHLDC, § 302\n",
      "549                         NaN       CHLDC, § 604\n",
      "550                    63.1-196       CHLDC, § 302\n",
      "551                         NaN       CHLDC, § 604\n",
      "\n",
      "[552 rows x 2 columns]\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/bedford_county\n",
      "URL we're targeting: https://library.municode.com/va/bedford_county/codes/code_of_ordinances?nodeId=STRETA\n",
      "could not scrape for bedford_county\n",
      "None\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/berryville\n",
      "URL we're targeting: None\n",
      "could not scrape for berryville\n",
      "None\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/big_stone_gap\n",
      "URL we're targeting: https://library.municode.com/va/big_stone_gap/codes/code_of_ordinances?nodeId=STLARETA\n",
      "                             0                  1\n",
      "0    Code of Virginia  Section  Section this Code\n",
      "1               1-13.3 et seq.                1-2\n",
      "2                       1-13.9                1-3\n",
      "3                           1A             13-116\n",
      "4                   2.1-116.4B               2-43\n",
      "..                         ...                ...\n",
      "420                  58.1-3984           11-34(c)\n",
      "421                        NaN           11-35(c)\n",
      "422          58.1-4000 et seq.             13-149\n",
      "423           59.1-353 et seq.             13-150\n",
      "424                   65.1-4.1               2-37\n",
      "\n",
      "[425 rows x 2 columns]\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/blacksburg\n",
      "URL we're targeting: None\n",
      "could not scrape for blacksburg\n",
      "None\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/blackstone\n",
      "URL we're targeting: https://library.municode.com/va/blackstone/codes/code_of_ordinances?nodeId=STLARETA\n",
      "                              0                  1\n",
      "0    Code of  Virginia  Section  Section this Code\n",
      "1                  1-10 et seq.              Ch. 1\n",
      "2                        1-13.1                1-2\n",
      "3                1-13.1—1-13.36                1-2\n",
      "4                      1-13.1:1                1-2\n",
      "..                          ...                ...\n",
      "387                    59.1-121             Ch. 42\n",
      "388            59.1-131 et seq.             Ch. 42\n",
      "389            59.1-137 et seq.             Ch. 30\n",
      "390            59.1-142 et seq.             Ch. 30\n",
      "391           62.1-44.2 et seq.             Ch. 62\n",
      "\n",
      "[392 rows x 2 columns]\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/bland_county\n",
      "URL we're targeting: None\n",
      "could not scrape for bland_county\n",
      "None\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/bluefield\n",
      "URL we're targeting: https://library.municode.com/va/bluefield/codes/code_of_ordinances?nodeId=STLARETA\n",
      "                     0                  1\n",
      "0    Code of  Virginia  Section this Code\n",
      "1       1.13-1 et seq.                1-2\n",
      "2               1.13-3                1-2\n",
      "3             1.13-3:1                1-2\n",
      "4       1.13-6, 1.13-7                1-2\n",
      "..                 ...                ...\n",
      "381          58.1-8230             50-252\n",
      "382  59.1-68.6 et seq.              2-195\n",
      "383   59.1-270 et seq.              4-151\n",
      "384   59.1-538 et seq.              4-151\n",
      "385  62.1-44.2 et seq.              62-73\n",
      "\n",
      "[386 rows x 2 columns]\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/botetourt_county\n",
      "URL we're targeting: https://library.municode.com/va/botetourt_county/codes/code_of_ordinances?nodeId=STRETA\n",
      "could not scrape for botetourt_county\n",
      "None\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/bristol\n",
      "URL we're targeting: https://library.municode.com/va/bristol/codes/code_of_ordinances?nodeId=STLARETA\n",
      "could not scrape for bristol\n",
      "None\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/brunswick_county\n",
      "URL we're targeting: https://library.municode.com/va/brunswick_county/codes/code_of_ordinances?nodeId=STLARETA\n",
      "                              0                  1\n",
      "0    Code of  Virginia  Section  Section this Code\n",
      "1                        1-13.3                1-2\n",
      "2                1-13.6, 1-13.7                1-2\n",
      "3                        1-13.9                1-4\n",
      "4              1-13.15, 1-13.16                1-2\n",
      "..                          ...                ...\n",
      "220                         NaN              30-37\n",
      "221            62.1-44.15:63(A)              30-37\n",
      "222                62.1-44.19:3              30-61\n",
      "223                         NaN              30-73\n",
      "224                    62.1-255             App. B\n",
      "\n",
      "[225 rows x 2 columns]\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/buena_vista\n",
      "URL we're targeting: https://library.municode.com/va/buena_vista/codes/code_of_ordinances?nodeId=STATE_LAW_REFERENCE_TABLE\n",
      "                              0                     1\n",
      "0     Code of Virginia  Section    Section  this Code\n",
      "1                 1-200 et seq.                   1-2\n",
      "2                         1-217                   1-3\n",
      "3                     2.2-614.3        Ch. 10, Art. V\n",
      "4                      2.2-1112                32-134\n",
      "...                         ...                   ...\n",
      "1118              62.1-44.15:27  LDR 1801.00, 1801.04\n",
      "1119             62.1-44.15:34A           LDR 1801.23\n",
      "1120              62.1-44.15:35           LDR 1801.06\n",
      "1121              62.1-44.15:40           LDR 1801.14\n",
      "1122              62.1-44.15:44           LDR 1801.16\n",
      "\n",
      "[1123 rows x 2 columns]\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/cape_charles\n",
      "URL we're targeting: https://library.municode.com/va/cape_charles/codes/code_of_ordinances?nodeId=STLARETA\n",
      "                              0                  1\n",
      "0    Code of  Virginia  Section  Section this Code\n",
      "1                1-13.1 et seq.                1-2\n",
      "2                        1-13.9                1-3\n",
      "3                     2.2-43.15              54-11\n",
      "4              2.2-4300 et seq.             Ch. 54\n",
      "..                          ...                ...\n",
      "260                         NaN               23-3\n",
      "261                   58.1-3851               24-1\n",
      "262                         NaN               24-3\n",
      "263         58.1-4000—58.1-4028              50-58\n",
      "264           58.1-364—59.1-405              50-59\n",
      "\n",
      "[265 rows x 2 columns]\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/charles_city_county\n",
      "URL we're targeting: https://library.municode.com/va/charles_city_county/codes/code_of_ordinances?nodeId=STATE_LAW_REFERENCE_TABLE\n",
      "                           0                  1\n",
      "0    Code of VirginiaSection  Section this Code\n",
      "1              1-200 et seq.                1-2\n",
      "2                      1-210                1-2\n",
      "3               1-216, 1-217           1-2, 1-3\n",
      "4               1-227, 1-228                1-2\n",
      "..                       ...                ...\n",
      "269                58.1-3912              23-97\n",
      "270                58.1-3916              23-67\n",
      "271                      NaN     23-183, 23-184\n",
      "272        58.1-3940 et seq.             23-209\n",
      "273                58.1-3958             23-209\n",
      "\n",
      "[274 rows x 2 columns]\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/charlottesville\n",
      "URL we're targeting: https://library.municode.com/va/charlottesville/codes/code_of_ordinances?nodeId=STLARETA\n",
      "               Virginia  Section  this Code\n",
      "0           1-13—1-15.1                 1-2\n",
      "1        1-13.3 et seq.                 1-2\n",
      "2                1-13.9                 1-3\n",
      "3            1-16, 1-17        2-101, 2-102\n",
      "4                 1-230                14-2\n",
      "..                  ...                 ...\n",
      "680            63.1-195                24-4\n",
      "681            63.2-100             22-5(2)\n",
      "682                 NaN             34-1200\n",
      "683            65.2-603           19-154(b)\n",
      "684  1251 et seq.  10-2  1251 et seq.  10-2\n",
      "\n",
      "[685 rows x 2 columns]\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/chase_city\n",
      "URL we're targeting: None\n",
      "could not scrape for chase_city\n",
      "None\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/chatham\n",
      "URL we're targeting: https://library.municode.com/va/chatham/codes/code_of_ordinances?nodeId=STLARETA\n",
      "                  Virginia Section  this Code\n",
      "0                    1-200           1.01.010\n",
      "1                    1-243           1.13.010\n",
      "2         2.2-3100 et seq.   Tit. 2, Ch. 2.04\n",
      "3    2.2-3100—  2.2-3112.A           2.05.050\n",
      "4                 2.2-3101           2.05.020\n",
      "..                     ...                ...\n",
      "107              58.1-3840   Tit. 3, Ch. 3.05\n",
      "108              58.1-3906           3.05.100\n",
      "109              58.1-3958           3.09.010\n",
      "110       59.1-137 et seq.   Tit. 8, Ch. 8.04\n",
      "111           62.1-44.18:2        13.04.610.3\n",
      "\n",
      "[112 rows x 2 columns]\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/chesapeake\n",
      "URL we're targeting: None\n",
      "could not scrape for chesapeake\n",
      "None\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/chesterfield_county\n",
      "URL we're targeting: https://library.municode.com/va/chesterfield_county/codes/code_of_ordinances?nodeId=STLARETA\n",
      "    Code of  Virginia  Section      chesterfield_county\n",
      "0                       1-13.3                      1-2\n",
      "1                       1-13.7                      1-2\n",
      "2                      1-13.19                      1-2\n",
      "3                    1-13.39:2                     13-1\n",
      "4                       art. 2              Char. § 9.5\n",
      "..                         ...                      ...\n",
      "463           62.1-44.15:58(C)                     8-32\n",
      "464      62.1-44.15:67 et seq.                      8-2\n",
      "465                    ch. 63b    Ch. 18, Art. VII, § 3\n",
      "466                    ch. 233  Ch. 18, Art. VII, § 7-c\n",
      "467                        NaN  Ch. 28, Art. VII, § 7-c\n",
      "\n",
      "[468 rows x 2 columns]\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/christiansburg\n",
      "URL we're targeting: https://library.municode.com/va/christiansburg/codes/code_of_ordinances?nodeId=STLARETA\n",
      "          Virginia Section  this Code\n",
      "0              1-1                1-2\n",
      "1            1-210                1-2\n",
      "2            1-216                1-2\n",
      "3            1-217                1-3\n",
      "4            1-220               34-3\n",
      "..             ...                ...\n",
      "395            NaN              16-29\n",
      "396  62.1-44.15:64              16-30\n",
      "397  62.1-44.15:65              16-22\n",
      "398     62.1-44.26              16-66\n",
      "399      64.2-1502       Char. § 3.20\n",
      "\n",
      "[400 rows x 2 columns]\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/clifton_forge\n",
      "URL we're targeting: https://library.municode.com/va/clifton_forge/codes/code_of_ordinances?nodeId=STLARETA\n",
      "              Virginia Section  this Code\n",
      "0                  1-1                1-2\n",
      "1        1-200 et seq.                1-2\n",
      "2                1-210                1-2\n",
      "3                1-216                1-2\n",
      "4                1-217                1-3\n",
      "..                 ...                ...\n",
      "172          15.2-2024      Ch. 22 (note)\n",
      "173          15.2-2026      Ch. 74 (note)\n",
      "174          15.2-2029      Ch. 74 (note)\n",
      "175                  —      Ch. 82 (note)\n",
      "176  15.2-2100 et seq.      Ch. 26 (note)\n",
      "\n",
      "[177 rows x 2 columns]\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/colonial_beach\n",
      "URL we're targeting: https://library.municode.com/va/colonial_beach/codes/code_of_ordinances?nodeId=COOR_STRETA\n",
      "                     Virginia               Disposition\n",
      "0                      1-13.1                       1-2\n",
      "1                      1-13.9                       1-3\n",
      "2                 2.1-114.5:1           Ch. 2, Art. III\n",
      "3                   2.2-614.1                      20-6\n",
      "4            2.2-3700 et seq.                     2-105\n",
      "..                        ...                       ...\n",
      "393  59.1-142, 59.1-143  10-7  59.1-142, 59.1-143  10-7\n",
      "394                  59.1-144                      10-7\n",
      "395                       NaN                      10-8\n",
      "396   59.1-145—59.1-148  10-7   59.1-145—59.1-148  10-7\n",
      "397                  62.1-176                       5-3\n",
      "\n",
      "[398 rows x 2 columns]\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/covington\n",
      "URL we're targeting: https://library.municode.com/va/covington/codes/code_of_ordinances?nodeId=STLARETA\n",
      "          Virginia Section  this Code\n",
      "0    1-200 et seq.                1-2\n",
      "1            1-217                1-5\n",
      "2            1-239                1-7\n",
      "3            1-243                1-8\n",
      "4           2.1-21                1-2\n",
      "..             ...                ...\n",
      "393  62.1-44.15:52               18-3\n",
      "394              —              18-25\n",
      "395  62.1-44.15:53               18-3\n",
      "396  62.1-44.15:54               18-3\n",
      "397  62.1-44.15:56              18-25\n",
      "\n",
      "[398 rows x 2 columns]\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/craig_county\n",
      "URL we're targeting: https://library.municode.com/va/craig_county/codes/code_of_ordinances?nodeId=STLARETA\n",
      "                              0                  1\n",
      "0    Code of  Virginia  Section  Section this Code\n",
      "1                        1-13.3                1-2\n",
      "2                1-13.6, 1-13.7                1-2\n",
      "3                        1-13.9                1-3\n",
      "4              1-13.15, 1-13.16                1-2\n",
      "..                          ...                ...\n",
      "206               62.1-44.15:35               47-6\n",
      "207               62.1-44.15:40              47-11\n",
      "208                    62.1-255               58-6\n",
      "209                    63.1-120               14-3\n",
      "210                      1613.1               14-4\n",
      "\n",
      "[211 rows x 2 columns]\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/crewe\n",
      "URL we're targeting: https://library.municode.com/va/crewe/codes/code_of_ordinances?nodeId=STLARETA\n",
      "                  Virginia Section  this Code\n",
      "0                   1-3.23                1-2\n",
      "1           1-13.6, 1-13.7                1-2\n",
      "2                  1-13.13                1-2\n",
      "3         1-13.15, 1-13.16                1-2\n",
      "4                  1-13.23                1-2\n",
      "..                     ...                ...\n",
      "395              58.1-3993             66-186\n",
      "396       59.1-137 et seq.      Ch. 38 (note)\n",
      "397              59.1-3700             66-181\n",
      "398      62.1-44.2 et seq.      Ch. 74 (note)\n",
      "399  62.1-44.15:51 et seq.      Ch. 34 (note)\n",
      "\n",
      "[400 rows x 2 columns]\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/culpeper\n",
      "URL we're targeting: None\n",
      "could not scrape for culpeper\n",
      "None\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/culpeper_county\n",
      "URL we're targeting: None\n",
      "could not scrape for culpeper_county\n",
      "None\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/cumberland_county\n",
      "URL we're targeting: https://library.municode.com/va/cumberland_county/codes/code_of_ordinances?nodeId=STLARETA\n",
      "                             0                        1\n",
      "0    Code of Virginia  Section        Section this Code\n",
      "1               1-13.1—1-13.42                      1-2\n",
      "2                      1-13.19                      1-2\n",
      "3                1-13.42(a)(1)                    46-51\n",
      "4                       1-15.1                     1-14\n",
      "..                         ...                      ...\n",
      "417    62.1-44.15:55(E)  34-34  62.1-44.15:55(E)  34-34\n",
      "418       62.1-44.15:56  34-34     62.1-44.15:56  34-34\n",
      "419                        NaN             34-36, 34-37\n",
      "420    62.1-44.15:63(A)  34-37  62.1-44.15:63(A)  34-37\n",
      "421            62.1-44.19:3(C)                   34-107\n",
      "\n",
      "[422 rows x 2 columns]\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/damascus\n",
      "URL we're targeting: https://library.municode.com/va/damascus/codes/code_of_ordinances?nodeId=STLARETA\n",
      "                           0                  1\n",
      "0    Code of VirginiaSection  Section this Code\n",
      "1                     1-13.3                1-2\n",
      "2             1-13.6, 1-13.7                1-2\n",
      "3                     1-13.9                1-3\n",
      "4                    1-13.15                1-2\n",
      "..                       ...                ...\n",
      "207                      NaN             22-293\n",
      "208                58.1-3940             22-295\n",
      "209        58.1-3940 et seq.          Char. § 5\n",
      "210                58.1-3984     22-295, 22-296\n",
      "211               58.14-3701             22-291\n",
      "\n",
      "[212 rows x 2 columns]\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/danville\n",
      "URL we're targeting: None\n",
      "could not scrape for danville\n",
      "None\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/dayton\n",
      "URL we're targeting: https://library.municode.com/va/dayton/codes/code_of_ordinances?nodeId=STLARETA\n",
      "          Virginia Section  this Code\n",
      "0    1-200 et seq.                1-2\n",
      "1    1-203 et seq.                1-2\n",
      "2            1-210                1-2\n",
      "3            1-213                1-2\n",
      "4            1-216                1-2\n",
      "..             ...                ...\n",
      "335      58.1-3984     22-101, 22-102\n",
      "336      58.1-3986             22-100\n",
      "337      58.1-3993             22-100\n",
      "338      59.1-3728             22-105\n",
      "339     62.1-44.32             26-232\n",
      "\n",
      "[340 rows x 2 columns]\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/dinwiddie_county\n",
      "URL we're targeting: https://library.municode.com/va/dinwiddie_county/codes/code_of_ordinances?nodeId=STRETA\n",
      "could not scrape for dinwiddie_county\n",
      "None\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/dumfries\n",
      "URL we're targeting: https://library.municode.com/va/dumfries/codes/code_of_ordinances?nodeId=STLARETA\n",
      "                             0                  1\n",
      "0    Code of Virginia  Section  Section this Code\n",
      "1                       1-13.1                1-2\n",
      "2                  1-13.1—1-15                1-2\n",
      "3                       1-13.3                1-2\n",
      "4                     1-13.3:1                1-2\n",
      "..                         ...                ...\n",
      "574              62.1-44.15:62             26-106\n",
      "575           62.1-44.15:63(A)             26-105\n",
      "576      62.1-44.15:67 et seq.           26-165.2\n",
      "577               62.1-44.34:8               30-8\n",
      "578                   62.1-255             70-444\n",
      "\n",
      "[579 rows x 2 columns]\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/emporia\n",
      "URL we're targeting: https://library.municode.com/va/emporia/codes/code_of_ordinances?nodeId=STLARETA\n",
      "                              0                  1\n",
      "0    Code of  Virginia  Section  Section this Code\n",
      "1                        2.1-21             74-118\n",
      "2                       2.1-344         Char. § 17\n",
      "3                       2.1-517             Ch. 14\n",
      "4                      2.2-4303              2-293\n",
      "..                          ...                ...\n",
      "508                    59.1-148              38-68\n",
      "509            59.1-538 et seq.             70-309\n",
      "510           62.1-44.2 et seq.             Ch. 78\n",
      "511           62.1-44.7 et seq.             90-188\n",
      "512             63.1-38 et seq.         Char. § 50\n",
      "\n",
      "[513 rows x 2 columns]\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/essex_county\n",
      "URL we're targeting: https://library.municode.com/va/essex_county/codes/code_of_ordinances?nodeId=STLARETA\n",
      "                             0                   1\n",
      "0    Code of Virginia  Section  Section  this Code\n",
      "1                1-202 et seq.                 1-2\n",
      "2                  1-202—1-257                 1-2\n",
      "3                        1-217                 1-3\n",
      "4              2.2-400 et seq.               34-36\n",
      "..                         ...                 ...\n",
      "171                  58.1-3715               10-60\n",
      "172          58.1-3800 et seq.     Ch. 28, Art. IV\n",
      "173                  58.1-3916                28-2\n",
      "174              62.1-44.15:54              Ch. 16\n",
      "175           62.1-44.15:62(A)                16-8\n",
      "\n",
      "[176 rows x 2 columns]\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/fairfax\n",
      "URL we're targeting: https://library.municode.com/va/fairfax/codes/code_of_ordinances?nodeId=STLARETA\n",
      "                              0                  1\n",
      "0    Code of  Virginia  Section  Section this Code\n",
      "1                  1-10 et seq.                1-2\n",
      "2                        1-13.1                1-2\n",
      "3                        1-13.3                1-2\n",
      "4                      1-13.3:1                1-2\n",
      "..                          ...                ...\n",
      "661                   tit. 63.1             Ch. 70\n",
      "662                   63.2-1515             14-134\n",
      "663                   63.2-1701             14-131\n",
      "664                   63.2-1715             14-131\n",
      "665            65.2-100 et seq.              33-21\n",
      "\n",
      "[666 rows x 2 columns]\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/fairfax_county\n",
      "URL we're targeting: None\n",
      "could not scrape for fairfax_county\n",
      "None\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/falls_church\n",
      "URL we're targeting: https://library.municode.com/va/falls_church/codes/code_of_ordinances?nodeId=STLARETA\n",
      "                             0                  1\n",
      "0    Code of Virginia  Section  Section this Code\n",
      "1                          1-1                1-2\n",
      "2                         1-21                1-2\n",
      "3                1-200 et seq.                1-2\n",
      "4                        1-210                1-2\n",
      "..                         ...                ...\n",
      "742                   63.2-802              22-53\n",
      "743                  63.2-1515              8-692\n",
      "744                  63.2-1701              8-678\n",
      "745        63.2-1715—63.2-1717              8-678\n",
      "746                  88.1-3826             40-181\n",
      "\n",
      "[747 rows x 2 columns]\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/farmville\n",
      "URL we're targeting: https://library.municode.com/va/farmville/codes/code_of_ordinances?nodeId=STATE_LAW_REFERENCE_TABLE\n",
      "could not scrape for farmville\n",
      "None\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/fauquier_county\n",
      "URL we're targeting: None\n",
      "could not scrape for fauquier_county\n",
      "None\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/floyd_county\n",
      "URL we're targeting: https://library.municode.com/va/floyd_county/codes/code_of_ordinances?nodeId=STLARETA\n",
      "                           0                        1\n",
      "0    Code of VirginiaSection        Section this Code\n",
      "1                     1-13.3                      1-2\n",
      "2             1-13.6, 1-13.7                      1-2\n",
      "3                     1-13.9                      1-3\n",
      "4           1-13.15, 1-13.16                      1-2\n",
      "..                       ...                      ...\n",
      "251         59.1-142 et seq.         Ch. 30, Art. III\n",
      "252                 59.1-143                    30-63\n",
      "253                 59.1-144  Ch. 30, Art. III,Div. 2\n",
      "254                 59.1-145                    30-62\n",
      "255         59.1-14659.1-147             30-85, 30-86\n",
      "\n",
      "[256 rows x 2 columns]\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/fluvanna_county\n",
      "URL we're targeting: None\n",
      "could not scrape for fluvanna_county\n",
      "None\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/franklin_county\n",
      "URL we're targeting: https://library.municode.com/va/franklin_county/codes/code_of_ordinances?nodeId=STRETA\n",
      "could not scrape for franklin_county\n",
      "None\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/gate_city\n",
      "URL we're targeting: None\n",
      "could not scrape for gate_city\n",
      "None\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/gloucester_county\n",
      "URL we're targeting: None\n",
      "could not scrape for gloucester_county\n",
      "None\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/goochland_county\n",
      "URL we're targeting: https://library.municode.com/va/goochland_county/codes/code_of_ordinances?nodeId=STLARETA\n",
      "                        0                  1\n",
      "0    Code of Va.  Section  Section this Code\n",
      "1                  1-13.1                1-2\n",
      "2                   1-210                1-2\n",
      "3                   1-216                1-2\n",
      "4                   1-217                1-3\n",
      "..                    ...                ...\n",
      "494                     —              7-107\n",
      "495            62.1-44.26               5-11\n",
      "496              62.1-194              Ch. 7\n",
      "497             63.2-2200             15-285\n",
      "498      65.2-800 et seq.              11-49\n",
      "\n",
      "[499 rows x 2 columns]\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/gordonsville\n",
      "URL we're targeting: https://library.municode.com/va/gordonsville/codes/code_of_ordinances?nodeId=STATE_LAW_REFERENCE_TABLE\n",
      "could not scrape for gordonsville\n",
      "None\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/greene_county\n",
      "URL we're targeting: https://library.municode.com/va/greene_county/codes/code_of_ordinances?nodeId=STLARETA\n",
      "                              0                  1\n",
      "0    Code of  Virginia  Section  Section this Code\n",
      "1                  1-13 et seq.              Ch. 1\n",
      "2                        1-13.3                1-2\n",
      "3                1-13.6, 1-13.7                1-2\n",
      "4                        1-13.9                1-4\n",
      "..                          ...                ...\n",
      "413               62.1-44.15:56              38-74\n",
      "414               62.1-44.15:65              38-74\n",
      "415           63.1.172—63.1.194    App. C, art. 22\n",
      "416                    63.1-196    App. C, art. 22\n",
      "417                     ch. 304    App. C, art. 22\n",
      "\n",
      "[418 rows x 2 columns]\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/greensville_county\n",
      "URL we're targeting: None\n",
      "could not scrape for greensville_county\n",
      "None\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/halifax_county\n",
      "URL we're targeting: https://library.municode.com/va/halifax_county/codes/code_of_ordinances?nodeId=STLARETA\n",
      "     Code of  Virginia halifax_county\n",
      "0        1-202 et seq.            1-2\n",
      "1                1-210            1-2\n",
      "2         1-216, 1-217       1-2, 1-3\n",
      "3                1-222            1-2\n",
      "4         1-227, 1-228            1-2\n",
      "..                 ...            ...\n",
      "476  63.2-1700 et seq.         53-175\n",
      "477                NaN         53-238\n",
      "478                NaN         53-267\n",
      "479           64.1-134         20-238\n",
      "480           64.1-135         20-238\n",
      "\n",
      "[481 rows x 2 columns]\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/hamilton\n",
      "URL we're targeting: https://library.municode.com/va/hamilton/codes/code_of_ordinances?nodeId=STLARETA\n",
      "                  Virginia Section  this Code\n",
      "0                    1-210                1-2\n",
      "1             1-216, 1-217           1-2, 1-3\n",
      "2                    1-220       Ch. 1 (note)\n",
      "3                    1-223                1-2\n",
      "4             1-227, 1-228                1-2\n",
      "..                     ...                ...\n",
      "124              58.1-3984         8-24, 8-25\n",
      "125              58.1-3993               8-23\n",
      "126       59.1-137 et seq.      Ch. 14 (note)\n",
      "127  62.1-44.15.51 et seq.    Ch. 12, Art. IV\n",
      "128               62.1-45a             24-291\n",
      "\n",
      "[129 rows x 2 columns]\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/hampton\n",
      "URL we're targeting: None\n",
      "could not scrape for hampton\n",
      "None\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/hanover_county\n",
      "URL we're targeting: None\n",
      "could not scrape for hanover_county\n",
      "None\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/harrisonburg\n",
      "URL we're targeting: None\n",
      "could not scrape for harrisonburg\n",
      "None\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/haymarket\n",
      "URL we're targeting: https://library.municode.com/va/haymarket/codes/code_of_ordinances?nodeId=STLARETA\n",
      "                              0                  1\n",
      "0    Code of  Virginia  Section  Section this Code\n",
      "1                        1-13.1                1-2\n",
      "2                   1-13.1—1-15                1-2\n",
      "3                        1-13.3                1-2\n",
      "4                      1-13.3:1                1-2\n",
      "..                          ...                ...\n",
      "448                   58.1-3993              14-49\n",
      "449            59.1-142 et seq.               30-4\n",
      "450                    59.1-296               58-1\n",
      "451           62.1-44.2 et seq.             Ch. 50\n",
      "452                62.1-44.34:8               19-6\n",
      "\n",
      "[453 rows x 2 columns]\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/henrico_county\n",
      "URL we're targeting: https://library.municode.com/va/henrico_county/codes/code_of_ordinances?nodeId=STLARETA\n",
      "                             0                       1\n",
      "0    Code of Virginia  Section       Section this Code\n",
      "1                        1-210                     1-2\n",
      "2                        1-216                     1-2\n",
      "3                        1-217                     1-3\n",
      "4                        1-223                     1-2\n",
      "..                         ...                     ...\n",
      "839                   63.2-100                    23-1\n",
      "840                          —        24-8403, 24-8404\n",
      "841                  63.2-2200  Ch. 24, Art. 8, Div. 5\n",
      "842           tit. 65.2, ch. 8                  20-567\n",
      "843           65.2-800 et seq.                  20-567\n",
      "\n",
      "[844 rows x 2 columns]\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/henry_county\n",
      "URL we're targeting: None\n",
      "could not scrape for henry_county\n",
      "None\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/herndon\n",
      "URL we're targeting: https://library.municode.com/va/herndon/codes/code_of_ordinances?nodeId=STLARETA\n",
      "                              0                  1\n",
      "0    Code of  Virginia  Section  Section this Code\n",
      "1                          1-13                1-2\n",
      "2                        1-13.1                1-2\n",
      "3                1-13.1 et seq.                1-2\n",
      "4                        1-13.3                1-2\n",
      "..                          ...                ...\n",
      "537               62.1-44.19:12             26-322\n",
      "538                  62.1-44.32             74-125\n",
      "539                   63.2-2200            78-90.4\n",
      "540            65.2-800 et seq.             30-222\n",
      "541                     631-196            78-71.3\n",
      "\n",
      "[542 rows x 2 columns]\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/hopewell\n",
      "URL we're targeting: None\n",
      "could not scrape for hopewell\n",
      "None\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/isle_of_wight_county\n",
      "URL we're targeting: None\n",
      "could not scrape for isle_of_wight_county\n",
      "None\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/james_city_county\n",
      "URL we're targeting: None\n",
      "could not scrape for james_city_county\n",
      "None\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/kenbridge\n",
      "URL we're targeting: https://library.municode.com/va/kenbridge/codes/code_of_ordinances?nodeId=STLARETA\n",
      "          Virginia Section  this Code\n",
      "0          1-13.16                1-2\n",
      "1          1-13.28                1-2\n",
      "2    1-202 et seq.           1-2, 1-3\n",
      "3            1-210                1-2\n",
      "4            1-216                1-2\n",
      "..             ...                ...\n",
      "284      58.1-3940             24-174\n",
      "285      58.1-3941              2-182\n",
      "286      58.1-3984             24-174\n",
      "287      58.1-3986             24-173\n",
      "288      58.1-3993             24-173\n",
      "\n",
      "[289 rows x 2 columns]\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/kilmarnock\n",
      "URL we're targeting: None\n",
      "could not scrape for kilmarnock\n",
      "None\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/king_and_queen_county\n",
      "URL we're targeting: https://library.municode.com/va/king_and_queen_county/codes/code_of_ordinances?nodeId=STLARETA\n",
      "                     0                         1\n",
      "0    Code of  Virginia         Section this Code\n",
      "1               1-13.3                       1-2\n",
      "2       1-13.6, 1-13.7                       1-2\n",
      "3               1-13.9                       1-3\n",
      "4     1-13.15, 1-13.16                       1-2\n",
      "..                 ...                       ...\n",
      "239           62.1-255      Ch. 3, Art. 1, § 3-6\n",
      "240                NaN  Ch. 3, Art. 12, § 3-26B.\n",
      "241   63.1-172 et seq.            Ch. 14, Art. V\n",
      "242   63.1-195 et seq.                    14-121\n",
      "243           63.2-100      Ch. 3, Art. 1, § 3-6\n",
      "\n",
      "[244 rows x 2 columns]\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/king_george_county\n",
      "URL we're targeting: https://library.municode.com/va/king_george_county/codes/code_of_ordinances?nodeId=STLARETA\n",
      "could not scrape for king_george_county\n",
      "None\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/king_william_county\n",
      "URL we're targeting: https://library.municode.com/va/king_william_county/codes/code_of_ordinances?nodeId=STLARETA\n",
      "                              0                          1\n",
      "0    Code of  Virginia  Section          Section this Code\n",
      "1                           1-7                       1-10\n",
      "2                           1-9                       1-11\n",
      "3                  1-10 et seq.                       1-10\n",
      "4                          1-12                       1-11\n",
      "..                          ...                        ...\n",
      "647                  62.1-44.18                     Ch. 78\n",
      "648                  62.1-44.20                       6-63\n",
      "649            62.1-254 et seq.  Ch. 86,  Art. IX,  Div. 4\n",
      "650                    62.1-255                     86-402\n",
      "651                      70-144                     70-146\n",
      "\n",
      "[652 rows x 2 columns]\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/lancaster_county\n",
      "URL we're targeting: None\n",
      "could not scrape for lancaster_county\n",
      "None\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/lawrenceville\n",
      "URL we're targeting: https://library.municode.com/va/lawrenceville/codes/code_of_ordinances?nodeId=STLARETA\n",
      "                              0                  1\n",
      "0    Code of  Virginia  Section  Section this Code\n",
      "1                1-13.1 et seq.                1-2\n",
      "2                        1-13.9                1-3\n",
      "3                       1-13.15                1-2\n",
      "4                       1-13.19                1-2\n",
      "..                          ...                ...\n",
      "430            59.1-270 et seq.                1-9\n",
      "431                    59.1-283                1-9\n",
      "432            59.1-501 et seq.                1-2\n",
      "433                   tit. 62.1             Ch. 54\n",
      "434           62.1-44.2 et seq.             Ch. 78\n",
      "\n",
      "[435 rows x 2 columns]\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/leesburg\n",
      "URL we're targeting: None\n",
      "could not scrape for leesburg\n",
      "None\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/louisa_county\n",
      "URL we're targeting: https://library.municode.com/va/louisa_county/codes/code_of_ordinances?nodeId=STLARETA\n",
      "              Virginia Section  this Code\n",
      "0                1-220               74-1\n",
      "1                    —              74-90\n",
      "2      2.1-340 et seq.       Ch. 2 (note)\n",
      "3             tit. 2.2              86-72\n",
      "4     2.2-2426 et seq.              86-72\n",
      "..                 ...                ...\n",
      "480                  —               70-6\n",
      "481   59.1-196 et seq.              26-55\n",
      "482          tit. 62.1              78-77\n",
      "483  62.1-44.2 et seq.              78-77\n",
      "484          tit. 63.2               2-71\n",
      "\n",
      "[485 rows x 2 columns]\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/lovettsville\n",
      "URL we're targeting: None\n",
      "could not scrape for lovettsville\n",
      "None\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/lunenburg_county\n",
      "URL we're targeting: https://library.municode.com/va/lunenburg_county/codes/code_of_ordinances?nodeId=STLARETA\n",
      "                          0                  1\n",
      "0    Code ofVirginiaSection  Section this Code\n",
      "1              1-13 et seq.              Ch. 1\n",
      "2                    1-13.3                1-2\n",
      "3            1-13.6, 1-13.7                1-2\n",
      "4                    1-13.9                1-4\n",
      "..                      ...                ...\n",
      "222            62.1-44.19:3              54-87\n",
      "223                     NaN              54-88\n",
      "224                62.1-255      App. A, § 2-3\n",
      "225                63.1-195      App. A, § 1-2\n",
      "226                64.1-135               70-6\n",
      "\n",
      "[227 rows x 2 columns]\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/luray\n",
      "URL we're targeting: https://library.municode.com/va/luray/codes/code_of_ordinances?nodeId=STLARETA\n",
      "                             0                  1\n",
      "0    Code of Virginia  Section  Section this Code\n",
      "1               1-13.1 et seq.                1-2\n",
      "2                  1-13.1—1-15                1-2\n",
      "3                       1-13.9                1-2\n",
      "4                      1-13.19                1-2\n",
      "..                         ...                ...\n",
      "255                  58.1-3984              30-71\n",
      "256         tit. 59.1, ch. 4.2              2-382\n",
      "257          59.1-137—59.1-141               46-4\n",
      "258           59.1-479 et seq.                1-2\n",
      "259          63.2-1700 et seq.      App. A, § 202\n",
      "\n",
      "[260 rows x 2 columns]\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/lynchburg\n",
      "URL we're targeting: None\n",
      "could not scrape for lynchburg\n",
      "None\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/madison_county\n",
      "URL we're targeting: https://library.municode.com/va/madison_county/codes/code_of_ordinances?nodeId=STLARETA\n",
      "             Virginia Section  this Code\n",
      "0       1-202 et seq.                1-2\n",
      "1               1-217                1-3\n",
      "2    2.2-3100 et seq.       Ch. 2 (note)\n",
      "3    2.2-4300 et seq.               2-24\n",
      "4            2.2-4304               2-24\n",
      "..                ...                ...\n",
      "205     62.1-44.15:57              14-27\n",
      "206   62.1-44.15:62.A    Ch. 14, Art. II\n",
      "207     62.1-44.15:65    Ch. 14, Art. II\n",
      "208          63.2-301              2-161\n",
      "209          63.2-302              2-161\n",
      "\n",
      "[210 rows x 2 columns]\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/manassas\n",
      "URL we're targeting: https://library.municode.com/va/manassas/codes/code_of_ordinances?nodeId=STLARETA\n",
      "could not scrape for manassas\n",
      "None\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/manassas_park\n",
      "URL we're targeting: https://library.municode.com/va/manassas_park/codes/code_of_ordinances?nodeId=STRETA\n",
      "could not scrape for manassas_park\n",
      "None\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/marion\n",
      "URL we're targeting: https://library.municode.com/va/marion/codes/code_of_ordinances?nodeId=STLARETA\n",
      "                              0                  1\n",
      "0    Code of  Virginia  Section  Section this Code\n",
      "1                          1-10              30-64\n",
      "2                  1-13 et seq.                1-1\n",
      "3                        1-13.3                1-2\n",
      "4                      1-13.3:1                1-2\n",
      "..                          ...                ...\n",
      "562                    59.1-146              34-78\n",
      "563                    59.1-147              34-79\n",
      "564                 59.1-147(a)              34-76\n",
      "565                    59.1-148              34-76\n",
      "566           62.1-44.2 et seq.             Ch. 78\n",
      "\n",
      "[567 rows x 2 columns]\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/martinsville\n",
      "URL we're targeting: None\n",
      "could not scrape for martinsville\n",
      "None\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/mecklenburg_county\n",
      "URL we're targeting: None\n",
      "could not scrape for mecklenburg_county\n",
      "None\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/montgomery_county\n",
      "URL we're targeting: None\n",
      "could not scrape for montgomery_county\n",
      "None\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/mount_jackson\n",
      "URL we're targeting: None\n",
      "could not scrape for mount_jackson\n",
      "None\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/nelson_county\n",
      "URL we're targeting: https://library.municode.com/va/nelson_county/codes/code_of_ordinances?nodeId=STLARETA\n",
      "                        0                  1\n",
      "0    Code of Va.  Section  Section this Code\n",
      "1             1-1 et seq.                1-2\n",
      "2                  1-13.9                1-3\n",
      "3                  1-17.1                1-5\n",
      "4                  2.1-21              Ch. 2\n",
      "..                    ...                ...\n",
      "363          62.1-44.19.3              10-29\n",
      "364                   NaN              10-30\n",
      "365                   NaN              10-40\n",
      "366              63.1-164               6-88\n",
      "367             63.2-2200     App. A, § 23-2\n",
      "\n",
      "[368 rows x 2 columns]\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/new_kent_county\n",
      "URL we're targeting: https://library.municode.com/va/new_kent_county/codes/code_of_ordinances?nodeId=STLARETA\n",
      "                              0                  1\n",
      "0    Code of  Virginia  Section  Section this Code\n",
      "1                          1-10               46-1\n",
      "2                  1-13 et seq.                1-2\n",
      "3                   1-13.1—1-15               38-3\n",
      "4                        1-13.3                1-2\n",
      "..                          ...                ...\n",
      "599             63.1-38 et seq.             Ch. 54\n",
      "600                   63.1-38.1             Ch. 54\n",
      "601                    ch. 63.2              54-31\n",
      "602                    63.2-302              54-31\n",
      "603                    63.2-305              54-31\n",
      "\n",
      "[604 rows x 2 columns]\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/new_market\n",
      "URL we're targeting: https://library.municode.com/va/new_market/codes/code_of_ordinances?nodeId=STLARETA\n",
      "                              0                  1\n",
      "0    Code of  Virginia  Section  Section this Code\n",
      "1                        1-13.3                1-2\n",
      "2                      1-13.3:1                1-2\n",
      "3                 1-13.5—1-13.7                1-2\n",
      "4                        1-13.9                1-3\n",
      "..                          ...                ...\n",
      "477                   58.1-3984               22-7\n",
      "478            59.1-137 et seq.             Ch. 30\n",
      "479            59.1-142 et seq.             Ch. 30\n",
      "480                         NaN               30-4\n",
      "481           62.1-44.2 et seq.             Ch. 62\n",
      "\n",
      "[482 rows x 2 columns]\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/newport_news\n",
      "URL we're targeting: https://library.municode.com/va/newport_news/codes/code_of_ordinances?nodeId=STLARETA\n",
      "                              0                                1\n",
      "0  Constitution of  Va. Section                      Disposition\n",
      "1             Art. VII, Sec. 10  Char. §§ 7.03, 7.07, 7.08A., B.\n",
      "2          Art. X, Sec. 6(a)(6)                 40-8(a), 40-8.02\n",
      "3                           NaN                          40-8.08\n",
      "4                           NaN                          40-8.09\n",
      "5                           NaN                          40-8.10\n",
      "6                           NaN                          40-8.11\n",
      "7                           NaN                          40-8.12\n",
      "8             Art. X, Sec. 6(f)                          40-7.04\n",
      "9                           NaN                          40-8(b)\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/norfolk\n",
      "URL we're targeting: https://library.municode.com/va/norfolk/codes/code_of_ordinances?nodeId=STRETA\n",
      "could not scrape for norfolk\n",
      "None\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/norton\n",
      "URL we're targeting: https://library.municode.com/va/norton/codes/code_of_ordinances?nodeId=STLARETA\n",
      "could not scrape for norton\n",
      "None\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/onancock\n",
      "URL we're targeting: https://library.municode.com/va/onancock/codes/code_of_ordinances?nodeId=STLARETA\n",
      "could not scrape for onancock\n",
      "None\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/orange\n",
      "URL we're targeting: https://library.municode.com/va/orange/codes/code_of_ordinances?nodeId=STLARETA\n",
      "                              0                         1\n",
      "0    Code of  Virginia  Section         Section this Code\n",
      "1                        1-13.1                       1-2\n",
      "2                   1-13.1—1-15                       1-2\n",
      "3                        1-13.3                       1-2\n",
      "4                      1-13.3:1                       1-2\n",
      "..                          ...                       ...\n",
      "511                         NaN                      78-2\n",
      "512            59.1-137 et seq.                    Ch. 30\n",
      "513            59.1-142 et seq.                    Ch. 30\n",
      "514                         NaN  Ch. 30, Art. III, Div. 2\n",
      "515           62.1-44.2 et seq.                    Ch. 74\n",
      "\n",
      "[516 rows x 2 columns]\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/petersburg\n",
      "URL we're targeting: https://library.municode.com/va/petersburg/codes/code_of_ordinances?nodeId=STLARETA\n",
      "could not scrape for petersburg\n",
      "None\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/poquoson\n",
      "URL we're targeting: None\n",
      "could not scrape for poquoson\n",
      "None\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/portsmouth\n",
      "URL we're targeting: https://library.municode.com/va/portsmouth/codes/code_of_ordinances?nodeId=STATE_LAW_REFERENCE_TABLE\n",
      "                              0                  1\n",
      "0     Code of Virginia  Section  Section this Code\n",
      "1                 1-200 et seq.                1-2\n",
      "2                   1-200—1-232                1-2\n",
      "3                         1-217                1-4\n",
      "4                         1-220               22-2\n",
      "...                         ...                ...\n",
      "1020                        NaN             12-215\n",
      "1021                65.2-101(1)              13-75\n",
      "1022                     67-103           40.2-217\n",
      "1023                    152-113              24-67\n",
      "1024                   152-1720              22-10\n",
      "\n",
      "[1025 rows x 2 columns]\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/powhatan_county\n",
      "URL we're targeting: https://library.municode.com/va/powhatan_county/codes/code_of_ordinances?nodeId=STLARETA\n",
      "    Code of  Virginia  Section powhatan_county\n",
      "0                       1-13.3             1-2\n",
      "1               1-13.6, 1-13.7             1-2\n",
      "2                       1-13.9             1-4\n",
      "3             1-13.15, 1-13.16             1-2\n",
      "4                      1-13.19             1-2\n",
      "..                         ...             ...\n",
      "333           62.1-44.15:63(A)          42-107\n",
      "334               62.1-44.17.1          83-170\n",
      "335                   63.2-100          83-521\n",
      "336          63.2-1700 et seq.          83-521\n",
      "337                  63.2-2200          83-445\n",
      "\n",
      "[338 rows x 2 columns]\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/prince_edward_county\n",
      "URL we're targeting: https://library.municode.com/va/prince_edward_county/codes/code_of_ordinances?nodeId=STLARETA\n",
      "    Code of  Virginia  Section prince_edward_county\n",
      "0               1-202  et seq.                ch. 1\n",
      "1                     2.2-1159               ch. 18\n",
      "2            2.2-3100  et seq.                ch. 2\n",
      "3            2.2-3700  et seq.                ch. 2\n",
      "4                     3.2-2600                 10-2\n",
      "..                         ...                  ...\n",
      "299              62.1-44.15:35               46-126\n",
      "300              62.1-44.15:40               46-131\n",
      "301     62.1-44.15:54  et seq.               ch. 46\n",
      "302               62.1-44.19:3               46-102\n",
      "303                        NaN               46-103\n",
      "\n",
      "[304 rows x 2 columns]\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/prince_george_county\n",
      "URL we're targeting: https://library.municode.com/va/prince_george_county/codes/code_of_ordinances?nodeId=STLARETA\n",
      "                              0                  1\n",
      "0    Code of  Virginia  Section  Section this Code\n",
      "1                   1-1 et seq.                1-2\n",
      "2                        1-13.9                1-3\n",
      "3                       1-13.32                1-2\n",
      "4                        1-17.1                1-7\n",
      "..                          ...                ...\n",
      "606            59.1-479 et seq.                1-2\n",
      "607            62.1-190 et seq.               54-6\n",
      "608                    62.1-255           90-330.2\n",
      "609                         NaN             90-662\n",
      "610                    65.2-402             74-221\n",
      "\n",
      "[611 rows x 2 columns]\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/prince_william_county\n",
      "URL we're targeting: https://library.municode.com/va/prince_william_county/codes/code_of_ordinances?nodeId=STLARETA\n",
      "                               0                  1\n",
      "0     Code of  Virginia  Section  Section this Code\n",
      "1                    1-13.1—1-15                1-2\n",
      "2                      1-13.39:2             11.1-1\n",
      "3                            NaN               13-1\n",
      "4                            NaN           13-239.2\n",
      "...                          ...                ...\n",
      "1197                         NaN       32-300.02.15\n",
      "1198                    62.1-255          32-200.01\n",
      "1199         63.2-1700—63.2-1738       32-300.02.15\n",
      "1200                   63.2-2200    Ch. 32, Pt. 100\n",
      "1201                         NaN          32-210.16\n",
      "\n",
      "[1202 rows x 2 columns]\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/pulaski\n",
      "URL we're targeting: https://library.municode.com/va/pulaski/codes/code_of_ordinances?nodeId=STLARETA\n",
      "                              0                  1\n",
      "0    Code of  Virginia  Section  Section this Code\n",
      "1                           1-1                1-2\n",
      "2                        1-13.1                1-2\n",
      "3                        1-13.3                1-2\n",
      "4                1-13.6, 1-13.7                1-2\n",
      "..                          ...                ...\n",
      "508               62.1-44.15:27             38-211\n",
      "509                         NaN             38-214\n",
      "510            62.1-44.15:34(A)             38-225\n",
      "511               62.1-44.15:40             38-220\n",
      "512                    62.1-194               14-3\n",
      "\n",
      "[513 rows x 2 columns]\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/purcellville\n",
      "URL we're targeting: None\n",
      "could not scrape for purcellville\n",
      "None\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/quantico\n",
      "URL we're targeting: https://library.municode.com/va/quantico/codes/code_of_ordinances?nodeId=STLARETA\n",
      "                              0                  1\n",
      "0    Code of  Virginia  Section  Section this Code\n",
      "1                  1-13 et seq.                1-4\n",
      "2                        1-13.3                1-4\n",
      "3                      1-13.3:1                1-4\n",
      "4                 1-13.5—1-13.7                1-4\n",
      "..                          ...                ...\n",
      "359         59.1-117,  59.1-118             Ch. 70\n",
      "360                    59.1-121             Ch. 70\n",
      "361            59.1-131 et seq.             Ch. 70\n",
      "362           62.1-44.2 et seq.             Ch. 94\n",
      "363                62.1-44.34:8              38-47\n",
      "\n",
      "[364 rows x 2 columns]\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/radford\n",
      "URL we're targeting: None\n",
      "could not scrape for radford\n",
      "None\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/richmond\n",
      "URL we're targeting: https://library.municode.com/va/richmond/codes/code_of_ordinances?nodeId=STLARETA\n",
      "     Virginia       richmond\n",
      "0       1-210            1-2\n",
      "1       1-216            1-2\n",
      "2       1-217            1-8\n",
      "3       1-222            1-2\n",
      "4       1-223            1-2\n",
      "...       ...            ...\n",
      "1181        —  22-239—22-241\n",
      "1182        —         22-299\n",
      "1183        —         22-317\n",
      "1184        —         26-956\n",
      "1185     5931  Char. § 21.01\n",
      "\n",
      "[1186 rows x 2 columns]\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/roanoke\n",
      "URL we're targeting: https://library.municode.com/va/roanoke/codes/code_of_ordinances?nodeId=STRETA\n",
      "could not scrape for roanoke\n",
      "None\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/roanoke_county\n",
      "URL we're targeting: https://library.municode.com/va/roanoke_county/codes/code_of_ordinances?nodeId=STRETA\n",
      "could not scrape for roanoke_county\n",
      "None\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/rockingham_county\n",
      "URL we're targeting: None\n",
      "could not scrape for rockingham_county\n",
      "None\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/rocky_mount\n",
      "URL we're targeting: https://library.municode.com/va/rocky_mount/codes/code_of_ordinances?nodeId=STLARETA\n",
      "                                    0                                 1\n",
      "0          Code of  Virginia  Section                 Section this Code\n",
      "1                              1-13.1                               1-2\n",
      "2                         1-13.1—1-15                               1-2\n",
      "3                              1-13.3                               1-2\n",
      "4                      1-13.6, 1-13.7                               1-2\n",
      "..                                ...                               ...\n",
      "220  59.1-142, 59.1-143  34-32, 34-33  59.1-142, 59.1-143  34-32, 34-33\n",
      "221                          59.1-146                             34-31\n",
      "222                          59.1-147                             34-35\n",
      "223          63.2-100  App. A, Art. 4          63.2-100  App. A, Art. 4\n",
      "224         63.2-2200  App. A, Art. 6         63.2-2200  App. A, Art. 6\n",
      "\n",
      "[225 rows x 2 columns]\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/salem\n",
      "URL we're targeting: https://library.municode.com/va/salem/codes/code_of_ordinances?nodeId=STLARETA\n",
      "    Code of  Virgina  Section    salem\n",
      "0                1-10 et seq.    Ch. 1\n",
      "1                      1-13.3      1-2\n",
      "2                    1-13.3:1      1-2\n",
      "3              1-13.6, 1-13.7      1-2\n",
      "4                      1-13.9      1-6\n",
      "..                        ...      ...\n",
      "574     62.1-44.15:24 et seq.   30-137\n",
      "575             62.1-44.15:35   30-141\n",
      "576             62.1-44.15:40   30-148\n",
      "577             62.1-44.15:58   30-148\n",
      "578          62.1-155 et seq.  Ch. 102\n",
      "\n",
      "[579 rows x 2 columns]\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/shenandoah\n",
      "URL we're targeting: https://library.municode.com/va/shenandoah/codes/code_of_ordinances?nodeId=STATE_LAW_REFERENCE_TABLE\n",
      "                              0                  1\n",
      "0    Code of  Virginia  Section  Section this Code\n",
      "1                        1-13.1                1-2\n",
      "2                   1-13.1—1-15                1-2\n",
      "3                        1-13.3                1-2\n",
      "4                      1-13.3:1                1-2\n",
      "..                          ...                ...\n",
      "571                         NaN              30-17\n",
      "572            59.1-479 et seq.                1-2\n",
      "573   59.1-538—59.1-549 et seq.              50-72\n",
      "574            62.1-442 et seq.    Ch. 74, Art. II\n",
      "575                   tit. 65.2               2-73\n",
      "\n",
      "[576 rows x 2 columns]\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/smithfield\n",
      "URL we're targeting: https://library.municode.com/va/smithfield/codes/code_of_ordinances?nodeId=STLARETA\n",
      "                              0                  1\n",
      "0    Code of  Virginia  Section  Section this Code\n",
      "1                        1-13.1                1-2\n",
      "2                   1-13.1—1-15                1-2\n",
      "3                        1-13.3                1-2\n",
      "4                1-13.6, 1-13.7                1-2\n",
      "..                          ...                ...\n",
      "468            59.1-137 et seq.             Ch. 42\n",
      "469                    59.1-143              42-73\n",
      "470                 59.1-3816.1             74-101\n",
      "471           62.1-44.2 et seq.             Ch. 82\n",
      "472            65.2-800 et seq.              26-81\n",
      "\n",
      "[473 rows x 2 columns]\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/smyth_county\n",
      "URL we're targeting: https://library.municode.com/va/smyth_county/codes/code_of_ordinances?nodeId=STATE_LAW_REFERENCE_TABLE\n",
      "                              0                   1\n",
      "0    Code of  Virginia  Section  Section  this Code\n",
      "1                        1-13.3                 1-2\n",
      "2                       1-13.28                 1-2\n",
      "3                 1-200 et seq.                 1-2\n",
      "4                         1-216                 1-2\n",
      "..                          ...                 ...\n",
      "672                         NaN            20-30(d)\n",
      "673               62.1-44.15:53            20-21(d)\n",
      "674               62.1-44.15:54            20-21(a)\n",
      "675                         NaN            20-21(d)\n",
      "676               62.1-44.15:55            20-30(j)\n",
      "\n",
      "[677 rows x 2 columns]\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/south_boston\n",
      "URL we're targeting: https://library.municode.com/va/south_boston/codes/code_of_ordinances?nodeId=STLARETA\n",
      "               Virginia Section  this Code\n",
      "0                 1-210                1-2\n",
      "1                 1-216                1-2\n",
      "2                 1-217                1-3\n",
      "3                 1-222                1-2\n",
      "4                 1-223                1-2\n",
      "..                  ...                ...\n",
      "743          62.1-44.34             26-142\n",
      "744            63.2-100               58-3\n",
      "745  title 63.2, ch. 17               58-3\n",
      "746   63.2-1700 et seq.               58-3\n",
      "747           63.2-1704               58-3\n",
      "\n",
      "[748 rows x 2 columns]\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/south_hill\n",
      "URL we're targeting: https://library.municode.com/va/south_hill/codes/code_of_ordinances?nodeId=STLARETA\n",
      "                              0                  1\n",
      "0    Code of  Virginia  Section  Section this Code\n",
      "1                   1-13—1-15.1                1-2\n",
      "2                        1-13.1                1-2\n",
      "3                   1-13.1—1-15                1-2\n",
      "4                        1-13.3                1-2\n",
      "..                          ...                ...\n",
      "699       62.1-44.14:24 et seq.               72-2\n",
      "700               62.1-44.15:27               72-4\n",
      "701               62.1-44.15:35               72-6\n",
      "702               62.1-44.15:40              72-11\n",
      "703                    62.1-255             94.1-3\n",
      "\n",
      "[704 rows x 2 columns]\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/southampton_county\n",
      "URL we're targeting: https://library.municode.com/va/southampton_county/codes/code_of_ordinances?nodeId=STLARETA\n",
      "                        0                  1\n",
      "0    Code of Va.  Section  Section this Code\n",
      "1                    1-10                1-6\n",
      "2                  1-13.3                1-2\n",
      "3                1-13.3:1                1-2\n",
      "4          1-13.6, 1-13.7                1-2\n",
      "..                    ...                ...\n",
      "485            62.1-44.26            13.5-12\n",
      "486    62.1-115.1 et seq.                6-2\n",
      "487             63.2-2200               18-1\n",
      "488              64.1-134             1-13.3\n",
      "489              64.1-135             1-13.3\n",
      "\n",
      "[490 rows x 2 columns]\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/spotsylvania_county\n",
      "URL we're targeting: https://library.municode.com/va/spotsylvania_county/codes/code_of_ordinances?nodeId=STLARETA\n",
      "    Code of Va.  Section Section  This Code\n",
      "0                  1-3.9                1-3\n",
      "1         1-13.3 et seq.                1-2\n",
      "2              2.1-116.1             16-147\n",
      "3      2.1-116.1 et seq.             16-147\n",
      "4        2.1-340 et seq.           2-107(b)\n",
      "..                   ...                ...\n",
      "572         62.1-44.19:3             22-433\n",
      "573       62.1-44.19:3.I             22-441\n",
      "574       62.1-44.19:3.G             22-442\n",
      "575             63.1-195           23-2.1.4\n",
      "576                  NaN           23-5.4.2\n",
      "\n",
      "[577 rows x 2 columns]\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/st._paul\n",
      "URL we're targeting: https://library.municode.com/va/st._paul/codes/code_of_ordinances?nodeId=STLARETA\n",
      "             Virginia Section  this Code\n",
      "0               1-200                1-1\n",
      "1       1-202 et seq.                1-2\n",
      "2               1-217                1-5\n",
      "3    2.2-3700 et seq.       Ch. 2 (note)\n",
      "4    2.2-3100 et seq.     Ch. 2, Art. IV\n",
      "..                ...                ...\n",
      "101         58.1-3906              20-79\n",
      "102         58.1-3916                8-3\n",
      "103         58.1-3940                8-5\n",
      "104                 —    Ch. 20, Art. IV\n",
      "105         58.1-3984           8-5, 8-6\n",
      "\n",
      "[106 rows x 2 columns]\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/stafford_county\n",
      "URL we're targeting: https://library.municode.com/va/stafford_county/codes/code_of_ordinances?nodeId=STRETA\n",
      "could not scrape for stafford_county\n",
      "None\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/strasburg\n",
      "URL we're targeting: https://library.municode.com/va/strasburg/codes/code_of_ordinances?nodeId=STLARETA\n",
      "              Virginia        strasburg\n",
      "0         1-13 et seq.              1-2\n",
      "1               1-13.9              1-4\n",
      "2              1-13.19              1-2\n",
      "3              1-13.25              2-1\n",
      "4                  NaN            2-219\n",
      "..                 ...              ...\n",
      "470           59.1-147            42-91\n",
      "471           59.1-148  Ch. 42, Art. IV\n",
      "472                NaN            42-92\n",
      "473   59.1-501 et seq.              1-2\n",
      "474  62.1-44.2 et seq.           Ch. 86\n",
      "\n",
      "[475 rows x 2 columns]\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/suffolk\n",
      "URL we're targeting: None\n",
      "could not scrape for suffolk\n",
      "None\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/surry_county\n",
      "URL we're targeting: https://library.municode.com/va/surry_county/codes/code_of_ordinances?nodeId=STLARETA\n",
      "could not scrape for surry_county\n",
      "None\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/sussex_county\n",
      "URL we're targeting: https://library.municode.com/va/sussex_county/codes/code_of_ordinances?nodeId=STLARETA\n",
      "             Virginia Section  this Code\n",
      "0       1-200 et seq.                1-2\n",
      "1           2.2-614.1              28-25\n",
      "2            2.2-3300       Ch. 2 (note)\n",
      "3            3.2-2600                4-1\n",
      "4            3.2-5900                4-1\n",
      "..                ...                ...\n",
      "293     62.1-44.15:63              14-28\n",
      "294      62.1-44.19:3   Ch. 14, Art. III\n",
      "295          62.1-194      Ch. 22 (note)\n",
      "296                 —    Ch. 22, Art. II\n",
      "297  65.2-800 et seq.             28-365\n",
      "\n",
      "[298 rows x 2 columns]\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/tappahannock\n",
      "URL we're targeting: https://library.municode.com/va/tappahannock/codes/code_of_ordinances?nodeId=STLARETA\n",
      "    Code of  Virginia  Section tappahannock\n",
      "0                 1-13 et seq.          1-2\n",
      "1                       1-13.1          1-2\n",
      "2                       1-13.3          1-2\n",
      "3                       1-13.7          1-2\n",
      "4                       1-13.9          1-4\n",
      "..                         ...          ...\n",
      "374                  58.1-3986       26-237\n",
      "375                  58.1-3993       26-237\n",
      "376           59.1-196 et seq.       26-268\n",
      "377                   59.1-200       26-268\n",
      "378                     64.1-2        22-34\n",
      "\n",
      "[379 rows x 2 columns]\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/tazewell\n",
      "URL we're targeting: https://library.municode.com/va/tazewell/codes/code_of_ordinances?nodeId=STLARETA\n",
      "                              0                  1\n",
      "0    Code of  Virginia  Section  Section this Code\n",
      "1                        1-13.3                1-2\n",
      "2                      1-13.3:1                1-2\n",
      "3                 1-13.5—1-13.7                1-2\n",
      "4                        1-13.9                1-3\n",
      "..                          ...                ...\n",
      "387                    59.1-144    Ch. 11, Art. II\n",
      "388                    59.1-148    Ch. 11, Art. II\n",
      "389            59.1-538 et seq.             10-103\n",
      "390           62.1-44.2 et seq.             Ch. 22\n",
      "391                    63.1-195             23-116\n",
      "\n",
      "[392 rows x 2 columns]\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/tazewell_county\n",
      "URL we're targeting: https://library.municode.com/va/tazewell_county/codes/code_of_ordinances?nodeId=STLARETA\n",
      "                        0                  1\n",
      "0    Code of Va.  Section  Section this Code\n",
      "1            1-10 et seq.                1-2\n",
      "2                  1-17.1                1-5\n",
      "3                art. 1.1              10-71\n",
      "4                  2.1-21              Ch. 2\n",
      "..                    ...                ...\n",
      "363             58.2-2028     Ch. 12, Art. V\n",
      "364              59.1-279              15-63\n",
      "365                   NaN              15-65\n",
      "366      59.1-538 et seq.              15-63\n",
      "367                   NaN              15-65\n",
      "\n",
      "[368 rows x 2 columns]\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/victoria\n",
      "URL we're targeting: https://library.municode.com/va/victoria/codes/code_of_ordinances?nodeId=STLARETA\n",
      "              Virginia victoria\n",
      "0                1-200    Ch. 1\n",
      "1                1-210      1-5\n",
      "2                1-216      1-5\n",
      "3                1-220     1-16\n",
      "4                1-227      1-5\n",
      "..                 ...      ...\n",
      "184                  —     8-63\n",
      "185   59.1-137 et seq.   Ch. 16\n",
      "186           63.2-100     34-3\n",
      "187  63.2-1700 et seq.     34-3\n",
      "188          63.2-1704     34-3\n",
      "\n",
      "[189 rows x 2 columns]\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/vienna\n",
      "URL we're targeting: https://library.municode.com/va/vienna/codes/code_of_ordinances?nodeId=STLARETA\n",
      "          Virginia Section  this Code\n",
      "0            1-216                1-2\n",
      "1            1-217                1-6\n",
      "2            1-220        Ch. 1(note)\n",
      "3     1-227, 1-228                1-2\n",
      "4            1-230                1-2\n",
      "..             ...                ...\n",
      "186  62.1-44.15:56               23-5\n",
      "187  62.1-44.15:74         18-216.1.1\n",
      "188            NaN         18-216.1.2\n",
      "189   62.1-44.19:7              23-17\n",
      "190     62.1-44.32              14-75\n",
      "\n",
      "[191 rows x 2 columns]\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/vinton\n",
      "URL we're targeting: https://library.municode.com/va/vinton/codes/code_of_ordinances?nodeId=STLARETA\n",
      "                             0                  1\n",
      "0    Code of Virginia  Section  Section this Code\n",
      "1                 1-13 et seq.                1-2\n",
      "2                       1-13.9                1-3\n",
      "3              2.1-359 et seq.               2-92\n",
      "4                     2.2-1159             Ch. 14\n",
      "..                         ...                ...\n",
      "368              62.1-44.15:48              79-79\n",
      "369                   62.1-255      App. B, § 1-3\n",
      "370                   63.1-164             86-165\n",
      "371                   63.1-195     App. B, § 10-2\n",
      "372                  63.2-2200   App. B, § 5-17.2\n",
      "\n",
      "[373 rows x 2 columns]\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/virginia\n",
      "URL we're targeting: None\n",
      "could not scrape for virginia\n",
      "None\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/virginia_beach\n",
      "URL we're targeting: https://library.municode.com/va/virginia_beach/codes/code_of_ordinances?nodeId=STRETA\n",
      "                             0                1\n",
      "0    Code of Virginia  Section      Disposition\n",
      "1                       1-13.3              1-2\n",
      "2                       1-13.9              1-3\n",
      "3                        1-220             21-1\n",
      "4                          NaN         21-303.1\n",
      "..                         ...              ...\n",
      "795                   63.2-304            2-320\n",
      "796                   63.2-305            2-321\n",
      "797                  63.2-2200  App. A, § 209.2\n",
      "798                   64.1-135           35-251\n",
      "799                   65.1-4.1              2-4\n",
      "\n",
      "[800 rows x 2 columns]\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/warrenton\n",
      "URL we're targeting: None\n",
      "could not scrape for warrenton\n",
      "None\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/washington_county\n",
      "URL we're targeting: https://library.municode.com/va/washington_county/codes/code_of_ordinances?nodeId=STLARETA\n",
      "                     0                  1\n",
      "0    Code of  Virginia  Section this Code\n",
      "1               1-13.3                1-2\n",
      "2               1-13.6                1-2\n",
      "3               1-13.7                1-2\n",
      "4               1-13.9                1-3\n",
      "..                 ...                ...\n",
      "512       62.1-44.18:3             52-174\n",
      "513                NaN              63-47\n",
      "514       62.1-44.19:3    Ch. 30, Art. VI\n",
      "515         62.1-44.32             63-198\n",
      "516                NaN             63-204\n",
      "\n",
      "[517 rows x 2 columns]\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/waynesboro\n",
      "URL we're targeting: https://library.municode.com/va/waynesboro/codes/code_of_ordinances?nodeId=STLARETA\n",
      "                             0                  1\n",
      "0    Code of Virginia  Section  Section this Code\n",
      "1                 1-10 et seq.                1-2\n",
      "2                       1-13.3                1-2\n",
      "3               1-13.6, 1-13.7                1-2\n",
      "4             1-13.15, 1-13.16                1-2\n",
      "..                         ...                ...\n",
      "470                    63.1-59             Ch. 64\n",
      "471           63.1-183 et seq.             Ch. 64\n",
      "472                   64.2-509             78-3.1\n",
      "473                   64.2-510             78-3.1\n",
      "474                      66-29              2-416\n",
      "\n",
      "[475 rows x 2 columns]\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/west_point\n",
      "URL we're targeting: https://library.municode.com/va/west_point/codes/code_of_ordinances?nodeId=STLARETA\n",
      "                          0                  1\n",
      "0    Code ofVirginiaSection  Section this Code\n",
      "1             1-202 et seq.                1-2\n",
      "2                     1-217                1-3\n",
      "3          2.2-4300 et seq.             Ch. 42\n",
      "4                  tit. 3.1              10-11\n",
      "..                      ...                ...\n",
      "242            58.1-3814(J)              58-46\n",
      "243               58.1-3840              58-73\n",
      "244               58.1-3916         58-7, 58-8\n",
      "245       58.1-3940 et seq.               46-5\n",
      "246       58.1-3965 et seq.               46-5\n",
      "\n",
      "[247 rows x 2 columns]\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/westmoreland_county\n",
      "URL we're targeting: https://library.municode.com/va/westmoreland_county/codes/code_of_ordinances?nodeId=STLARETA\n",
      "                             0                  1\n",
      "0    Code of Virginia  Section  Section this Code\n",
      "1                       1-13.3                1-2\n",
      "2               1-13.3 et seq.                1-2\n",
      "3                       1-13.9                1-3\n",
      "4                   3.1-796.66               10-1\n",
      "..                         ...                ...\n",
      "366                 62.1-44.15          55-1—55-3\n",
      "367               62.1-44.19:3             22-262\n",
      "368                        NaN             22-264\n",
      "369                     64.1-2             22-164\n",
      "370    Tit 58.1, ch. 38, art.4             46-361\n",
      "\n",
      "[371 rows x 2 columns]\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/williamsburg\n",
      "URL we're targeting: None\n",
      "could not scrape for williamsburg\n",
      "None\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/winchester\n",
      "URL we're targeting: None\n",
      "could not scrape for winchester\n",
      "None\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/windsor\n",
      "URL we're targeting: https://library.municode.com/va/windsor/codes/code_of_ordinances?nodeId=STLARETA\n",
      "                             0                  1\n",
      "0   Code of  Virginia  Section  Section this Code\n",
      "1                  1-13—1-15.1                1-1\n",
      "2             2.2-3708.2(A)(3)                9-4\n",
      "3                   3.1-796.66               40-2\n",
      "4             13.1-501 et seq.               89-2\n",
      "..                         ...                ...\n",
      "74                   58.1-3906             130-34\n",
      "75                   58.1-3916               89-3\n",
      "76                   58.1-3919             130-64\n",
      "77                   58.1-3980               89-5\n",
      "78                    62.1-45a             145-11\n",
      "\n",
      "[79 rows x 2 columns]\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/wise_county\n",
      "URL we're targeting: https://library.municode.com/va/wise_county/codes/code_of_ordinances?nodeId=STRETA\n",
      "could not scrape for wise_county\n",
      "None\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/woodstock\n",
      "URL we're targeting: https://library.municode.com/va/woodstock/codes/code_of_ordinances?nodeId=STLARETA\n",
      "                              0                   1\n",
      "0    Code of  Virginia  Section  Section  this Code\n",
      "1                        1-13.3                 1-2\n",
      "2                 1-13.5—1-13.7                 1-2\n",
      "3                        1-13.9                 1-5\n",
      "4                       1-13.13                 1-2\n",
      "..                          ...                 ...\n",
      "426            59.1-142 et seq.              Ch. 30\n",
      "427                           —               30-29\n",
      "428                    59.1-364           90-359.02\n",
      "429           62.1-44.2 et seq.              Ch. 82\n",
      "430               62.1-44.85(8)                90-2\n",
      "\n",
      "[431 rows x 2 columns]\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/wytheville\n",
      "URL we're targeting: None\n",
      "could not scrape for wytheville\n",
      "None\n",
      "\n",
      "\n",
      "URL passed in https://library.municode.com/VA/york_county\n",
      "URL we're targeting: None\n",
      "could not scrape for york_county\n",
      "None\n",
      "\n",
      "\n",
      "--- 2861.6187069416046 seconds ---\n"
     ]
    }
   ],
   "source": [
    "import time\n",
    "start_time = time.time()\n",
    "\n",
    "\n",
    "flagDF = pd.DataFrame()\n",
    "\n",
    "# loop through all of the towns \n",
    "# for ind in list_of_towns.index:\n",
    "for ind in town_urls.index:\n",
    "    url = town_urls.loc[ind,'urls']\n",
    "    town = town_urls.loc[ind,'county']\n",
    "    \n",
    "    try:\n",
    "        print(scraper(url,town))\n",
    "    except:\n",
    "        print(f'This municipality {town} does not host the necessary documents online.')\n",
    "        pass\n",
    "        \n",
    "    print(\"\\n\")\n",
    "        \n",
    "print(\"--- %s seconds ---\" % (time.time() - start_time))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "64b9e888",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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