mra1385/DCViolentCrime2015.ipynb

## DCViolentCrime2015.ipynb
{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# import modules\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.ticker as tkr\n",
    "import matplotlib.dates as mdates\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "%matplotlib inline\n",
    "from datetime import datetime\n",
    "import seaborn as sns\n",
    "\n",
    "# use fivethirtyeight plot style\n",
    "plt.style.use('fivethirtyeight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# loading multiple csv files into python list\n",
    "# the code below will depend on the file path of the DC crime data files on your machines\n",
    "tmp_lst = []\n",
    "for filename in range(1,10):\n",
    "    path = 'c:/users/mra/desktop/admin/chart-it/DC violent crime 2015 spike/ASAP__from2000_01_01__to2015_08_16({}).csv'.format(filename) \n",
    "    frame = pd.read_csv(path, header = 0, low_memory = False)        \n",
    "    tmp_lst.append(frame)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# use concat method to convert python list into pd dataframe\n",
    "dc_crime = (pd.concat(tmp_lst, ignore_index = True))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# convert 'Start Date' column data into datetime data type\n",
    "dc_crime['START_DATE'] = pd.to_datetime(dc_crime['START_DATE'], infer_datetime_format = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# drop unused columns\n",
    "dc_crime = dc_crime.drop([\"CCN\", \"SHIFT\", \"REPORTDATETIME\", \"ANC\", \"DISTRICT\", \"PSA\", \"NEIGHBORHOODCLUSTER\", \"LASTMODIFIEDDATE\", \"BUSINESSIMPROVEMENTDISTRICT\", \"BLOCK_GROUP\", \"VOTING_PRECINCT\", \"END_DATE\"], 1) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# set start date as dataframe index\n",
    "dc_crime = dc_crime.set_index(\"START_DATE\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['BURGLARY', 'THEFT F/AUTO', 'THEFT/OTHER', 'MOTOR VEHICLE THEFT',\n",
       "       'ASSAULT W/DANGEROUS WEAPON', 'ROBBERY', 'HOMICIDE', 'SEX ABUSE',\n",
       "       'ARSON'], dtype=object)"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# check 'offense' categories\n",
    "dc_crime[\"OFFENSE\"].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# create dataframe for each offense type\n",
    "dc_violent_crime_homicide = dc_crime[dc_crime[\"OFFENSE\"] == \"HOMICIDE\"]\n",
    "dc_violent_crime_assault = dc_crime[dc_crime[\"OFFENSE\"] == \"ASSAULT W/DANGEROUS WEAPON\"]\n",
    "dc_violent_crime_sex = dc_crime[dc_crime[\"OFFENSE\"] == \"SEX ABUSE\"]\n",
    "dc_violent_crime_burglary = dc_crime[dc_crime[\"OFFENSE\"] == \"BURGLARY\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# create data sets for the period from January to August 14 to compare across years\n",
    "\n",
    "dc_violent_crime_homicide_semester = [dc_violent_crime_homicide['2011-01-01': '2011-08-14'],\\\n",
    "                                            dc_violent_crime_homicide['2012-01-01': '2012-08-14'],\\\n",
    "                                            dc_violent_crime_homicide['2013-01-01': '2013-08-14'],\\\n",
    "                                            dc_violent_crime_homicide['2014-01-01': '2014-08-14'],\\\n",
    "                                            dc_violent_crime_homicide['2015-01-01': '2015-08-14']]\n",
    "\n",
    "dc_violent_crime_assault_semester = [dc_violent_crime_assault['2011-01-01': '2011-08-14'],\\\n",
    "                                            dc_violent_crime_assault['2012-01-01': '2012-08-14'],\\\n",
    "                                            dc_violent_crime_assault['2013-01-01': '2013-08-14'],\\\n",
    "                                            dc_violent_crime_assault['2014-01-01': '2014-08-14'],\\\n",
    "                                            dc_violent_crime_assault['2015-01-01': '2015-08-14']]\n",
    "\n",
    "dc_violent_crime_sex_semester = [dc_violent_crime_sex['2011-01-01': '2011-08-14'],\\\n",
    "                                            dc_violent_crime_sex['2012-01-01': '2012-08-14'],\\\n",
    "                                            dc_violent_crime_sex['2013-01-01': '2013-08-14'],\\\n",
    "                                            dc_violent_crime_sex['2014-01-01': '2014-08-14'],\\\n",
    "                                            dc_violent_crime_sex['2015-01-01': '2015-08-14']]\n",
    "\n",
    "dc_violent_crime_burglary_semester = [dc_violent_crime_burglary['2011-01-01': '2011-08-14'],\\\n",
    "                                            dc_violent_crime_burglary['2012-01-01': '2012-08-14'],\\\n",
    "                                            dc_violent_crime_burglary['2013-01-01': '2013-08-14'],\\\n",
    "                                            dc_violent_crime_burglary['2014-01-01': '2014-08-14'],\\\n",
    "                                            dc_violent_crime_burglary['2015-01-01': '2015-08-14']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# create dataframe object\n",
    "dc_violent_crime_homicide_semester = pd.concat(dc_violent_crime_homicide_semester)\n",
    "dc_violent_crime_assault_semester = pd.concat(dc_violent_crime_assault_semester)\n",
    "dc_violent_crime_sex_semester = pd.concat(dc_violent_crime_sex_semester)\n",
    "dc_violent_crime_burglary_semester = pd.concat(dc_violent_crime_burglary_semester)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# re-sample all offenses by month for Jan to Aug 14 dataset\n",
    "dc_violent_crime_homicide_semester = dc_violent_crime_homicide_semester[\"OFFENSE\"].resample('M', how='count')\n",
    "dc_violent_crime_assault_semester = dc_violent_crime_assault_semester[\"OFFENSE\"].resample('M', how='count')\n",
    "dc_violent_crime_sex_semester = dc_violent_crime_sex_semester[\"OFFENSE\"].resample('M', how='count')\n",
    "dc_violent_crime_burglary_semester = dc_violent_crime_burglary_semester[\"OFFENSE\"].resample('M', how='count')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# re-sample all offenses by month for entire available period Jan 2011 to July 2014\n",
    "dc_violent_crime_homicide_monthly = dc_violent_crime_homicide[\"OFFENSE\"].resample('M', how='count')\n",
    "dc_violent_crime_assault_monthly = dc_violent_crime_assault[\"OFFENSE\"].resample('M', how='count')\n",
    "dc_violent_crime_sex_monthly = dc_violent_crime_sex[\"OFFENSE\"].resample('M', how='count')\n",
    "dc_violent_crime_burglary_monthly = dc_violent_crime_burglary[\"OFFENSE\"].resample('M', how='count')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# remove incidents from before 2010 as these appear to be errors in the original data set\n",
    "dc_violent_crime_homicide_semester = dc_violent_crime_homicide_semester[dc_violent_crime_homicide_semester.index.year > 2010]\n",
    "dc_violent_crime_assault_semester = dc_violent_crime_assault_semester[dc_violent_crime_assault_semester.index.year > 2010]\n",
    "dc_violent_crime_sex_semester = dc_violent_crime_sex_semester[dc_violent_crime_sex_semester.index.year > 2010]\n",
    "dc_violent_crime_burglary_semester = dc_violent_crime_burglary_semester[dc_violent_crime_burglary_semester.index.year > 2010]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# remove incidents from before 2010 as these appear to be errors in the original data set\n",
    "dc_violent_crime_homicide_monthly = dc_violent_crime_homicide_monthly[dc_violent_crime_homicide_monthly.index.year > 2010]\n",
    "dc_violent_crime_assault_monthly = dc_violent_crime_assault_monthly[dc_violent_crime_assault_monthly.index.year > 2010]\n",
    "dc_violent_crime_sex_monthly = dc_violent_crime_sex_monthly[dc_violent_crime_sex_monthly.index.year > 2010]\n",
    "dc_violent_crime_burglary_monthly = dc_violent_crime_burglary_monthly[dc_violent_crime_burglary_monthly.index.year > 2010]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# remove 2013 Navy Yard shooting victims\n",
    "dc_violent_crime_homicide_monthly['2013-09-30'] = dc_violent_crime_homicide_monthly['2013-09-30'] - 12"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# drop zeroes\n",
    "dc_violent_crime_homicide_semester[dc_violent_crime_homicide_semester == 0] = np.nan\n",
    "dc_violent_crime_assault_semester[dc_violent_crime_assault_semester == 0] = np.nan\n",
    "dc_violent_crime_sex_semester[dc_violent_crime_sex_semester == 0] = np.nan\n",
    "dc_violent_crime_burglary_semester[dc_violent_crime_burglary_semester == 0] = np.nan"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# January through July data set by year\n",
    "dc_violent_crime_homicide_semester_year = dc_violent_crime_homicide_semester.resample(\"A\", how='sum')\n",
    "dc_violent_crime_assault_semester_year = dc_violent_crime_assault_semester.resample(\"A\", how='sum')\n",
    "dc_violent_crime_sex_semester_year = dc_violent_crime_sex_semester.resample(\"A\", how='sum')\n",
    "dc_violent_crime_burglary_semester_year = dc_violent_crime_burglary_semester.resample(\"A\", how='sum')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0xbdf14a8>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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LW05ZsVxlhIOfATo3NNInykyXhiZMvr8E1wKHg5/P5fPdKSv/SbOWe7hEiMmHruFGuoWb\nuCnUWOI5xTUFYBHxegUOB98kW/jHgRxSc375haMALCKuOBwOEs/lsy7ZwqZUC+fL0Wvbob4/sZFm\nejQyUdt49YltDoeDE1kFbDllZUualZ/Pl28Yhdn3l0l0tzYwUqscr+WNFIBFxGvZHQ42p1pZeCCb\nE1mle1oUgEWkuBNZ+axPtrA+2Vriw3JZmtXyJTbKzB2RZsIDf98EtnRLAd+dsrElzcqudBv55Uhv\nvga4sb4/XS+PG24QoEl0RRSARcTrOBwOtpyy8Y8D2Ry56LpXxd8H1sUpAIt4uwxLARtSrKxLtnDw\nwtV7YcPMPsRGmYmNNNO8jntut5CVZ2f7GRvfnbLy/WkbOeVJw0CLOr9MomtWy7sn0SkAi4jXcDgc\nbD9j46P92WX+IvM1QN/GZh69IYiGv7PHRkSqp+w8O/9Js7I+xcJ/z+ZRerXekoL9DfSIMBEbZaZD\nfX+PTkizFThIyLCxJa0wEGe4WFvYlUaBvnQLLxwq0aaeP75eFoYVgEWkxnM4HPyYnsfC/VnsK2M5\nIh+gz3VmHm8RRKMgBV8Rb5Nnd7DjjI11yRa+O2XFdpUc6e8DXRqa6BNlpnMDI8YqMPHMfvlGG0Xj\nho+7GNrlSl2jgdvCTXQNN/GHMO+YRKcALCI12u4MGwv2Z/NTRp7L/Qagd6SJx1sG0ThYd4cX8SZ2\nh4O9mXmsT7ayKdXCxbwrRyIDcGNo4WS22xuZqFXF79J2MqtwRYktaTb2ncujPIHP7Asdw0x0izBy\na0MTdWroJDoFYBGpkRLP5fHR/ix2nnUdfAFujzAxuGUQ0bUVfEW8ybFLlyezpVg4lXP1IQPNa/vR\nJ8pM78jqO5Esw1LAttOFk+h+TLeRV46REj6GwtUrul7uHY6oQcPCFIBFpEY5eD6Pjw5k8/1pW5nH\n3NbQyBMxQdxQx9+DLRORynQ2t4BvLt+O+HAZk1+Laxjwy2S2ZjXsQ3JOvp0fzhSG4W2nbWSXcxLd\n9bWLJtEZaV7br1pPolMAFpEaIeliPgv3Z/OfU9Yyj+kYVhh8W4co+Ip4g6w8O9+mFYbeXelXHwJQ\ny99Az0aF43rb1vPsZLbKkm93kJCRx5Y0K9+dsnLWUr5JdA0DfJwrSrSr54+fT/U6VwrAIlKtHb+U\nzz8OZLMp1VrmL7cb6/vzZEwQ7esbPdo2EfE8W0Hhai/rki1sO2296qV+ow90DS9cwaFTAyP+1SzI\nVSSHw8HBC79Mojt6qXyT6Gr7G+gSXhiGO4YZMftV/XOoACwi1VJKdj4fH8hhXbKlzCWK2oYUBt+b\nwxR8RWoyu8PB7ow81qdY2JRqJesqk9l8gJtC/YmNMnN7hImgKj6ZrbKkZOc7b76xJ7N8k+iMPtCx\nQeFtmbs0NFHXVDXPrQKwiFQrp3IK+ORgNqtPWrCXUb1a1vXjyZggOoUZq/UYNRG5sqSLhbcj/ibF\nwpncq1+6b1HHj9jLk9lCzTVnQpcnnLPa2Xa6sGd451nbVZeJg8IPGm3r+TuHSlSlJSYVgEWkWjib\nW8DiQzmsOp5b5i1Am9cuDL63NVTwFampzuQWXL4dsYWkclyijwj8ZTJbk1o1azJbZcnNd7DzbGHP\n8NbTVi5dpce9SHQtX2cYvqFO5U6i82gATk9P5+2332bnzp0EBATQt29fnnnmGXx8fEhLS2PixIns\n3r2b8PBwRo4cSZcuXTzVNBGpojItdv7f4Wy+PJZb5li+JsG+PBETxO0RJq+YtCLibS7Z7GxOK7wd\ncVlrehdX22igdyMzfaLMtA6p3qsVVHX5dgd7MvOc44ZPl6MnHqBBgA9dL48b7lDf85PoPBqAX3jh\nBWw2Gy+99BLnzp1j7NixDBo0iEceeYSHH36Y6OhohgwZwubNm1mwYAFLliyhUaNGnmqeiFQhF2x2\nlhzO4V9Hc7CU0ckTGeTL4JZB9I40ed1tPEVqOmuBg22nC1dw2H7m6uvWmnyh2+XJbB3DjNVuVYKa\nwOFwcPhiPlvSrGw5ZeNIOZabg8JbSXdpaKRruIlODYwE+rl/3LBHrwUkJCQwfvx4oqOjAbjrrrvY\nuXMnLVu25MSJE8yfP5+AgACaNm3Kjh07WLlyJcOGDfNkE0Wkkl3Ks7PsSA7LjuSSW+D683l4oA+P\ntwiiT5RZv+REapACh4Of0gsns21OtV51fVof4JYwI32iTHSLMHkkOEnZDAYDN9Tx54Y6/jwRA2k5\nBZfvRGdld0ZemROWs/IcrEu2si7Zir9P4f9pt3ATcU0C3NZWjwbg1q1bs3r1ajp16sSlS5fYtm0b\nvXr1Yt++fcTExBAQ8Msb7dChAwkJCZ5snohUopx8O58n5fLZkZwyZ3CHmX14tEUQfRubvXqpIpGa\npKjXcF2yhQ0pVtLLsQ5tq7qFk9l6NTJTz6zQW1VFBPry5+hA/hwdyHmrne9PW/nulI0fzlqxlnFl\nL88O35+28f1pW80JwPHx8Tz99NP06tULu91Ox44dGTp0KNOnT6d+/foljg0JCeHMmTOebJ6IVILc\nfAcrjubw6ZEcLtpcB98Qkw+P3BBIXJMATL4KviI1QVpOAd9cvh3xsXJMZosM8iU2svAmFVHBmsxW\n3dQ1+XB34wDubhyAJd/Bj+m/TKK7UEbtdyePfQc5HA7GjRtHWFgYb7zxBtnZ2bz99tu88847WK1W\njMaS63QajUZstrJvZSoi1Zu1wMHKY7n8v8M5nLO67vGpYzTw0PVB9G8aUC0WVheRK7tgs7MpxcK6\nFCt7M68+mS3EaKBXZOFktpi6msxWU5j9DHQNN9E13ESBw8G+zLzL44atpOaUbxLd7+WxALxnzx52\n7drFV199RVhYGACvvvoqI0aMoH///mRlZZU43mazYTabPdU8EfGQPLuD/zueyyeHcsq81Bnsb+DB\n5oH8KTpAY/pEqgiHw4HNDpYCB5Z8B7nF/s7Nd2Bx9Xexf5+32vkpI48yhvY7mX0NdI8wEhtl5pZQ\nTWar6XwNBtrXN9K+vpFn2gRz9FKBMwy7k8cC8OnTp6ldu7Yz/AK0bNkSu91OaGgohw8fLnF8ZmZm\niWNFpHrLtztYc9LCxwezy1wmJ9DPwIDoAAY0DyRYd2b6zWw2G4899hijR4+mU6dOAEyaNIkVK1aU\nOG706NEMHDgQgJ07dzJ9+nSSk5Np06YNr776KlFRUR5vu/x+doerMAq5+fbLf5cMr5Zix7kKs8X3\nlXXzmd/LxwCdwoz0iTJzW7iJAF3x8UoGg4Ho2n5E1/bjsZZBbn0tjwXgqKgoLl26RHp6OqGhoQAc\nO3YMgCZNmvDJJ59gsVicvb4JCQm0b9/eU80TETcpcDj4JtnCPw7kkJrjepyf2Rf+1CyQgdcHUseo\n4Pt7WK1Wxo4dy9GjR0tcLk5KSuL555+nb9++zm2BgYFAYQfFmDFjGDp0KN26dWP+/PmMGTOGTz/9\nVJec3SjPXjJs/tZQ6tx2+XFZk4uqojYhv0xmq6q3zJWayWMBuFWrVrRr146///3vjBw5ktzcXCZN\nmkS/fv3o3bs38+fPJz4+nqFDh7JlyxYSExN5/fXXPdU8EalgdoeDTalW/nEgmxNZrn8jG32gf9MA\nHrohiBD98vvdkpKSGDt2rMt9x44do1WrVtSrV6/UvhUrVtCiRQseeeQRAF577TX69u3Ljh07nD3I\ncnV2h4MtaVYSMvLIzi8ZYkuE3Mv/vtpQgJrqumBf+kSauSPKRGSQJrNJ5fDod97bb7/N9OnTGT58\nOH5+ftxxxx2MGDECHx8fpk6dyoQJExg8eDBRUVFMmTKF8PBwTzZPRCqAw+FgyykbC/dnlXmbUn8f\niGsSwMM3BBJqrjr3hq/udu3aRceOHRk2bBg9evRwbk9PT+fixYs0btzY5dft3buXm266yfnYbDYT\nExPDnj17FIDLaXeGjff2ZnHwQvkW/q+ufA0Q4GfA7GsgwM9AwOW/zb6/bCu+z1zsb7OvgcggX5rV\n8tWVBal0Hg3AderUIT4+3uW+qKgo5s6d68nmiEgFcjgcbD9j46P92WWGAF8D9Gts5pEbgmgYqOBb\n0e6//36X248ePYqvry/z5s1j27Zt1KlTh4ceeoi4uDgAMjIySs25qFevnpaiLIe07ALmJmaxOc29\nE3auldm3cDKZ+VdBtHhALfG3i23Fv6boObT+ttQUuvYgIr+Lw+Hgx/Q8PtqfReI518HXB7jzOjOP\ntQiiUZCCr6cdO3YMHx8fWrRowYMPPsjOnTt56623CAgI4I477sBiseDv71/ia/z9/cnLu/oyVd4q\nO8/OPw/l8HlSzlVv0VsWHwMVEkrNvpQ6zkc9rCJXpAAsIr/ZTxmFPb4/ZbgOSgagd6SJx1sG0VgL\n11eaAQMG0K9fP4KCCmdVN2/enJMnT/LFF19wxx13YDQaS4XdvLw86tatWxnNrdIKHA5Wn7Cw4Ocs\nzpWxeH+PCBOdGhivOBwgwNeAvw8aCiBSSfQbSUSu2b7Mwh7fH9PL7iG8PcLE4JZBRNdWmakKisJv\nkaZNm7J9+3YAwsLCSE9PL7E/PT2d5s2be6x91cGPZ228vy+LIxddX+loUcePEW2DaV/f6HK/iFQd\n+s0kIuV24HweC/dn8/2Zsu/SeFtDI0/EBHFDHf8yjxHPmjFjBidOnGDGjBnObQcOHKBp06YAtGvX\njl27djn3WSwWDh48yJAhQzzd1CrpZFY+cxOz+O6U6+/7ULMPQ2OCuPM6s4YeiFQTCsAiclVJF/NZ\nuD+b/1zhzjwdw4w8GRNEqxAF36qmV69ePPPMMyxdupSuXbuydetWVq9ezfvvvw/AH//4Rz755BMW\nLlxIjx49+Oijj4iIiPD6FSAu2ewsOpjNv47mulyyzOQLDzYP5MHrg3TjBpFqxnD+/HkvXYlQRK7m\n+KV8/nEgm02pVsoqFDeF+vNEyyBd9q1iOnfuzHvvvUfHjh0B2LBhA/Pnz+fkyZNERkYybNgwevbs\n6Tx+27ZtzJgxg1OnTtGuXTteeeUVIiMjK6n1lSvf7mDl8Vz+sT+bi3muv/NjI0083TqYBgGa1ClS\nHSkAi0gpKdn5LDqQw/pkC2VNcG8b4s+TMUHcHKbgKzXH9tNW3t+XxfEybt7SJsSP4W1r0VpXOkSq\nNQ2BEBGnUzkFfHwwm69PWrCX8dG4ZV0/nowJolOYUTPYpcY4ejGf9/dlseOs63G+DQN8eLp1ML0b\nmfR9L1IDKACLCGdzC1h8KIdVx3PJLyP4Nq9dGHxva6jgKzXHeaudfxzIZuXxXJcf+sy+Bh6+IZAH\nmgdi8tX3vUhNUSMCcG6+QxMQRK5RgcPB7ow8NqRY+PqkpczF/JsE+/JETBC3R5g0w11qjDy7g38d\nzWXRgWyyXXzqMwB3X2dmaKsg6ut23SI1To0IwPetSad7hJHYKDO3hBrx060aRVwqCr2bUq18m2bl\nnLXsW1hFBfnyeMsgekea8FXwlRrC4XCw5ZSNuYlZpGS7Hufbob4/w9sE06KuxvmK1FQ1YhJcz5W/\n3K8+xGigd6SZ2CgzMXX9dKlWvF5R6N2camXzVUIvQHigD4+3CKJPlFkfJqVGOXwhj9n7sthVxg1c\nGgX6MKx1MN0jNM5XpKarcQG4uKggX+6INNEnykyUbsMqXuRaQy9AmNmHR1sE0bexGX8FX6lBMiwF\nfLQ/m/87YXG5nF+Qn4FHWwTxp2YBGDXOV8Qr1OgAXFyrun7ERpnp1chMPbOPB1ol4lkFDgd7Lg9v\nKG/oDfIz0DXcRM9GJjo2MCr4So1iLXDweVIO/zyYQ66LO1n4AHFNAngiJogQk34viHiTGhGA/3vW\nxvoUC5tTrS4nMxTnY4BbQo30iTLTLcJIoJ+KnlRfBQ4HezPz2JhSOKY38xpD7x/CjOrxkhrH4XCw\nKdXKvJ+zOJXj+mfiD2H+PNumFtG1dXVQxBvViABcxFrgYNtpK+uTLXx/2lbmck5FzL7QNdxEbJSZ\njmGaPCfVQ1Ho3ZRqZXOqQq9IcfvP5fHeviz2Zroe53tdsC/Ptgnm1gZazk/Em9WoAFzcJZudzWlW\n1iVb+CnDdSEsro7RQK9GZvpEmWkdoslzUrXYi3p6U618m2oloxyhN9DPQNdwIz0bmflDmFFrmEqN\ndia3gPn25YylAAAgAElEQVQ/Z7M22eJyfy1/A4NbBvE/TQPU2SEiNTcAF3c6p4BvUiysT7aQdMn1\nsjfFNQr04Y4oM7GRZprU0uUxqRz2X/X0KvSKlGbJd7DkSA6fHs7G6qK8+xqgf9MAHm8ZRG2jhryJ\nSCGvCMDFJV3MZ11yYRg+a7l6oGhRx48+UWZ6R5q0GLq4XfHQ+22alfRyfI8G+P4Sejs2UOgV72B3\nOFifbOWDn7PK/Dnp0tDIM22CaaxVgETkVzwagPPz83n33XdZvXo1DoeD2NhYRo8ejb+/P2lpaUyc\nOJHdu3cTHh7OyJEj6dKli9vaYr+8TNT6FAubUq1k5V1l8hxwU6g/faLMdI8wEeSvngSpGEWht2jJ\nMoVekSvbm5nHe3svsf98vsv9zWr5MrxNLf7QwOjhlolIdeHRADx9+nQ2b97M+PHjARg7dix33303\nzzzzDA8//DDR0dEMGTKEzZs3s2DBApYsWUKjRo3c3i5bgYPtZ2ysS7aw7bS1zFvCFjH6/DJ5rpOW\njpLfwO5wsC/zlyXLriX09mhU+H2n0Cve5lROAfMSs9iYanW5v47RwJCYYPo11k1cROTKPBaAL126\nRN++fZk+fTqdOnUCYNWqVaxdu5ZHH32U0aNHs3btWgICAgAYMWIEbdu2ZdiwYZ5o3i/tzLPzn7TC\nlSR2pee5XDS9uNr+Bno2MhMbZaJtPX98NHlOyuAMvWmFY3rLG3pvu9zTq9Ar3ion387iQzl8diTH\nZQeFnwH+HB3IIy0CCdbVOREpB48NjEpISMBsNjvDL0BcXBxxcXEsXLiQmJgYZ/gF6NChAwkJCZ5q\nnlMtfx/6NQ6gX+MAzuYW8E1KYRg+fNH1pbaLeQ5WHs9l5fFcGgb4EHt58lwzrS0pFIbexHP5bEot\nHGpTntBrLja8QaFXvFmBw8HXJyzM359d5o1dbo8w8ZfWQUQGqeaKSPl5rGKkpKQQHh7O119/zcKF\nC7FYLNxxxx08++yzpKenU79+/RLHh4SEcObM1e/w5k5hAb48eH0gD14fyLFL+axPtrAu2cLpXNeF\n+HRuYS/F4kM5XF+78M5zd0SaCAvQ5DlvUjz0bk61lmuypflyT28vhV4RAHal25i9N6vMzocb6vgx\nvE0wN4ZqnK+IXDuPBeDs7GxSU1P5/PPPefXVV8nOzuatt94iPz8fq9WK0ViyiBmNRmw2m6ead1VN\na/kxtFUwT8YEsTczj/XJVjalWrhYxuS5wxfzOZyYxbzELG68PHnu9giTLs/VUHaHg5+L9fReS+jt\nGWGic0OTQq8IkJyVz9zELLaccl3/65l8eKpVEHdeZ8ZXQ85E5DfyWAD28/MjOzub+Ph4IiMjAXjh\nhRcYN24ccXFxZGVllTjeZrNhNps91bxy8zEYaF/fSPv6Rp5rF8yOy5PnvjtlxeYi8ziAXel57ErP\nY8buS3RpaKJPlJnODXQ3rurOUbynN83KmTKuDBRn9jXQpaGRXo1MdGpgwuyn7wERKJx/8cnBbJYn\n5bq8i6fRBx5oHsigGwJ1C3sR+d08FoBDQ0Px9fV1hl+Axo0bY7PZqF+/PocPHy5xfGZmJmFhYZ5q\n3m/i72PgtnATt4WbyC6aPJdi4b9n83AVhfLs8G1a4fquwf4GejYyERtppn19TZ6rLopC7+ZUC5vK\nHXqhS8PC2xB3VugVKSHf7uDfx3P56EA2F2yur6jdEWni6VbBNAzUcDIRqRgeC8Dt2rWjoKCAI0eO\n0Lx5cwCOHj1KYGAg7dq145///CcWi8XZ65uQkED79u091bzfLcjfh7sbB3B34wAyLAVsSCm8DfPB\nC67Hr2XlOVh13MKq4xYaBPhwR2ThbZijNXmuynE4HPx8Pp9NKYU9vWWNAS9OoVfk6n44Y+X9fVkc\nK+MOna1C/BjRphZt6vl7uGUiUtN5dB3gl156iTNnzvC3v/2N3Nxc4uPj6d27NyNGjGDQoEE0a9aM\noUOHsmXLFhYuXMiSJUsIDw/3VPPc4vilfOdtmFNzrh6comv5Xp48Z1ZvRyVyht7LE9muJfT2aGTi\nVoVekTIdv5TPnH1ZfH/G9TjfMLMPT7cO5o5Ik66OiYhbeDQA5+TkMG3aNDZu3Iivry9xcXEMHz4c\nPz8/kpOTmTBhAvv27SMqKopRo0aVWDKtuiu6dL4u2cLGVEuZl/qK61C/cPJcjwgTtXQPe7dzOBzs\nP5/PxmsMvbcW6+kNUOgVKdMFm51/HMjmy2O52F2UQLMvDLo+iAeaB+oDpIi4lUcDsBTKtzvYedbG\n+mQLW05Zsbi++ufk7wOdGxiJjTLTRasFVKii0LsptXBVj/KEXtOvhjco9IpcWZ7dwYqjuSw6mF3m\nbefvus7M0JggLRspIh6hAFzJcvLtbEmzsT7Fws6zNpe9IsUF+Rm4PaJwJYkOof5aBug3cDgcHDif\nz8ZUK5vTLJwqx9AUky/c2sBEr0iFXpHycjgcbDttY86+LE5mu/6k366eP8PbBhNTV+N8RcRzFICr\nkEyLnU2phTfb+Pm868lzxYWafegdWRiGr6/th8FLw7Dd4SDPXtiznu8o/Lv44zy7gwI75OQ7+OGM\njU3XGHp7NjJxa0OFXpFrceRCPrP3XeK/6Xku90cE+vCX1sH0iDB5be0SkcqjAFxFJWfls/7ybZiT\ny+g5Ka5pLV9iI83cEWUm4ndMnrM7HOTbIb94qLQXhsiicPnrxy7DZ7F/FxR7rrzLz130HAV2yCt6\nzWL78+xQ4OL4/F8/dnDVXvNrYfKFzg1M9GpkonNDo9YbFblG56x2Ptqfxb+PW1wuBxnoZ+CRGwK5\nPzpQw7lEpNIoAFdxRZfr1yVb2JBi4Vw5Js+1DvGjrtGnVPgs6g11hk9HyVCZZ6/YMFldGH1+mch2\nq0KvyG9iK3DwRVIOnxzKIcfFnSx8gH5NzDzZMph6Zv2MiUjlUgCuRvLtDv6bbmN9cuHNNCwF+q/7\nrRR6pSaz2Ww89thjjB492rmaTlpaGhMnTmT37t2Eh4czcuRIunTp4vyanTt3Mn36dJKTk2nTpg2v\nvvoqUVFR5Xq9TakW5iVmkVbG0KKbQ/0Z3qYWzetonXMRqRoUgKup3HwHW09ZWZdiYccZG96ehf19\nwM9gwN8HfH0MJR77+Rjw8wE/AzQM9KVruIkuCr1SQ1mtVsaOHcvmzZt577336NixIw6Hg0ceeYTo\n6GiGDBnC5s2bWbBgAUuWLKFRo0acPn2agQMHMnToULp168b8+fM5fPgwn376abnG5/Zcecbl9qgg\nX55pE8xtDY0a5ysiVYo+jldTAX4G7ogqHPN73lo4eW59spW951xPOLkWReHR73J49L8cHgv/bcDX\ngDNYFj/2l33Fvtbwy3G+xR4XHe/368e/Dq4G16/jV+yxrwH9chUBkpKSGDt2bKntO3fu5MSJE8yf\nP5+AgACaNm3Kjh07WLlyJcOGDWPFihW0aNGCRx55BIDXXnuNvn37smPHjt+0Hnuwv4HHWwTRv1kA\n/j762RSRqkcBuAaoa/Khf7NA+jcLJC2ngMMX8jHAr3o/S/aG+hcLuMUfK0yKVF+7du2iY8eODBs2\njB49eji37927l5iYGAICApzbOnToQEJCgnP/TTfd5NxnNpuJiYlhz5491xSAfQzwP00DGNwyiDq6\neY+IVGEKwDVMRKDv71oFQkSqr/vvv9/l9vT0dOrXr19iW0hICGfOFA5dyMjIICwsrMT+evXqOfeX\nx60NjDzTJpgmtfRrRUSqPlUqEZEazmKxYDQaS2wzGo3YbDbnfn//kjei8Pf3Jy+vfEOqptxah04N\nTBXTWBERD9A1KhGRGs5sNjvDbhGbzeYcEmE0GkuF3by8vBJDJq5E4VdEqhsFYBGRGi4sLIyMjIwS\n2zIzMwkNDXXuT09PL7Hf1bAJEZGaQgFYRKSGa9OmDYcOHcJisTi3JSQk0LZtWwDatWvHTz/95Nxn\nsVg4ePCgc7+ISE2jACwiUsPdcssthIeHEx8fz5EjR1i0aBGJiYn0798fgD/+8Y/s3buXhQsXkpSU\nxIQJE4iIiPhNS6CJiFQHCsAiIjWcj48PU6dO5dy5cwwePJivv/6aKVOmEB4eDkBERARTpkxh9erV\nDB48mHPnzvH2229XcqtFRNxHd4ITEREREa+iHmARERER8SoKwCIiIiLiVRSARURERMSrVEoAfvPN\nN3nmmWecj9PS0njuuefo0aMHAwcOZNu2bZXRLBERERHxAh4PwD/88AMrV650PnY4HIwZM4a6deuy\naNEi+vXrx8svv0xqaqqnmyYiIiIiXsCjATg3N5dJkybRvn1757adO3dy4sQJXnnlFZo2bcrjjz9O\n+/btS4RkEREREZGK4tEAPGfOHP7whz9wyy23OLft3buXmJiYEvec79ChA3v27PFk00RERETES3gs\nAO/evZsNGzbwwgsv4HD8svSwq/vNh4SEcObMGU81TURERES8iEcCsM1m480332T06NEEBweX2Gex\nWDAajSW2GY1GbDabJ5omIiIiIl7GIwF4/vz5XHfddfTu3bvUPpPJVCrs2mw2zGazJ5omIiIiIl7G\nzxMvsnbtWjIyMujZsycAeXl52O12evbsyeDBgzl06FCJ4zMzMwkLC/NE00RERETEy3gkAM+dO5eC\nggKgcNmzTz/9lJ9//pnx48eTlpbGP/7xDywWi7PXNyEhocRKESIiIiIiFcUjATg8PLzE4+DgYEwm\nE5GRkYSHhxMeHk58fDxDhw5ly5YtJCYm8vrrr3uiaSIiIiLiZSrlTnAGg8H5b19fX6ZOncq5c+cY\nPHgwX3/9NVOmTCkVmkVEREREKoLh/PnzjqsfJiIiIiJSM1RKD7CIiIiISGVRABYRERERr6IALCIi\nIiJeRQFYRERERLyKArCIiIiIeBUFYBERERHxKgrAIiIiIuJVFIBFRERExKsoAIuIiIiIV1EAFhER\nERGvogAsIiIiIl5FAVhEREREvIoCsIiIl1izZg2dO3cu8ed///d/AUhLS+O5556jR48eDBw4kG3b\ntlVya0VE3MevshsgIiKekZSURK9evZyhF8BoNOJwOBgzZgzR0dEsWrSIzZs38/LLL7NkyRIaNWpU\niS0WEXEPBWARES9x9OhRWrRoQb169Ups37FjBydOnGD+/PkEBATQtGlTduzYwcqVKxk2bFgltVZE\nxH00BEJExEscO3aMJk2alNq+d+9eYmJiCAgIcG7r0KEDe/bs8WTzREQ8Rj3AIiJeIC8vj5MnT/Kf\n//yHuXPn4nA4uOOOO3j66adJT0+nfv36JY4PCQnhzJkzldRaERH3UgAWEfECJ06cwG63ExgYyOTJ\nkzl58iTTp08nJycHq9WK0WgscbzRaMRms1VSa0VE3EsBWETECzRv3pxvvvmG4OBgAK6//noAXnvt\nNfr3709WVlaJ4202G2az2ePtFBHxBI0BFhHxEkXht0iTJk3Iz88nNDSUjIyMEvsyMzMJCwvzZPNE\nRDzGYwE4OTmZ0aNHExsbS1xcHO+8847z8prWnxQRca+NGzdy1113kZ+f79x28OBBatWqRdu2bTl0\n6BAWi8W5LyEhgbZt21ZGU0VE3M4jATgvL48XX3wRk8nEggULeOONN9i8eTNz5swBYMyYMdStW5dF\nixbRr18/Xn75ZVJTUz3RNBERr3DLLbfg4+PDxIkTOXHiBFu2bOHdd9/l0Ucf5ZZbbiE8PJz4+HiO\nHDnCokWLSExMpH///pXdbBERtzCcP3/e4e4XSUhIYMSIEaxfv945pmzNmjXMnDmT8ePHM2rUKNau\nXetcgmfEiBG0bdtW60+KiFSgQ4cOMX36dH7++WeCg4O57777GDJkCFB4lW7ChAns27ePqKgoRo0a\nRadOnSq5xSIi7uGRSXBNmzZlxowZpSZUZGVlsXfvXlq2bFlq/cmEhARPNE1ExGvccMMNzitvvxYV\nFcXcuXM93CIRkcrhkSEQdevWpWPHjs7HdrudZcuW0alTJ9LT0wkNDS1xvNafFBERERF3qZRVIGbO\nnMmhQ4cYMWIEubm5Wn9SRERERDzGo+sAOxwOpk+fzhdffMHkyZNp1qwZJpOJ7OzsEsdp/UkRERER\ncReP9QDb7XbGjx/P8uXLmThxIt27dwegQYMGWn9SRERERDzGYwF45syZrFu3jilTptCzZ0/ndq0/\nKSIiIiKe5JEAvGfPHpYuXcpTTz1Fy5YtSU9Pd/65+eabtf6kiIiIiHiMR9YBnjVrFosXLy794gYD\nW7duJTU1VetPioiIiIhHeCQAi4iIiIhUFZWyDJqIiIiISGVRABYRERERr6IALCIiIiJeRQFYRERE\nRLyKArCIiIiIeBUFYBERERHxKgrAIiIiIuJVFIBFRERExKsoAIuIiIiIV1EAFhERERGvogAsIiIi\nIl5FAVhEREREvIoCsIiIiIh4FQVgEREREfEqCsAiIiIi4lUUgEVERETEqygAi4iIiIhXUQAWERER\nEa+iACwiIiIiXqXKBGCbzcbEiROJjY2lb9++fPLJJ5XdJBERr6EaLCLexK+yG1Bk1qxZ7N27l9mz\nZ3P69GnGjRtHeHg4ffr0qeymiYjUeKrBIuJNqkQPcG5uLl9++SWjRo2iZcuW3H777Tz66KN89tln\nld00EZEaTzVYRLxNlQjAhw4dIi8vjxtvvNG5rUOHDvz88884HI5KbJmISM2nGiwi3qZKBOD09HRq\n166Nv7+/c1u9evXIy8sjMzOzElsmIlLzqQaLiLepEgHYYrFgNBpLbCt6nJeXVxlNEhHxGqrBIuJt\nqkQANhqN2Gy2EtuKHpvN5spokoiI11ANFhFvUyUCcIMGDbh06RL5+fnObRkZGRiNRmrXrl2JLRMR\nqflUg0XE21SJANyiRQv8/PzYvXu3c9tPP/1ETEwMPj5VookiIjWWarCIeJsqUdnMZjP33HMPkydP\nJjExkW+//ZbFixfz4IMPVnbTRERqPNVgEfE2hvPnz1eJNW4sFguTJ09m48aNBAcHM2jQIAYNGlTZ\nzRIR8QqqwSLiTapMABYRERER8YQqMQRCRERERMRTFIBFRERExKtUmQCcnJzM6NGjiY2NJS4ujnfe\nece5DmVaWhrPPfccPXr0YODAgWzbts3lc3z99dc89dRTLve9+eabzJ07123tdwd3nZOcnBzefvtt\n4uLiiI2N5eWXX+bs2bNufz8VyV3nJisrizfeeIM+ffoQGxvLpEmTyM3Ndfv7qUju/lkq2t+5c2e3\ntN9d3HVe0tPT6dy5c4k/sbGxbn8/FU01uDTV4LKpBrum+lu2qlaDq0QAzsvL48UXX8RkMrFgwQLe\neOMNNm/ezJw5cwAYM2YMdevWZdGiRfTr14+XX36Z1NTUEs+xc+dOJk6ciMFgKPX8H3/8MStXrnS5\nr6py5zmZPn06u3btYtKkScybNw+r1cpLL72Ew1E9hoO789xMmTKFY8eOMXv2bN5991327t3LjBkz\nPPbefi93/ywBZGZmMm3aNP08XZaUlES9evVYvXq188/nn3/usfdWEVSDS1MNLptqsGuqv2WrijXY\nr+Le3m+3b98+UlJSWLRoEWazmSZNmvCXv/yFmTNn0rVrV06cOMH8+fMJCAigadOm7Nixg5UrVzJs\n2DAAPvzwQz7++GOuu+66Es+blZXFhAkT2LlzJw0bNqyMt/abueuc5Ofns2bNGqZOnUq7du0AeO21\n17jnnns4ceIETZo08fh7vVbuOjcAJpOJl156iRYtWgBw7733smzZMo++v9/DneemyNSpU2nWrFmJ\nNWOrOneel6NHj9K0aVPq1avn6bdVYVSDS1MNLptqsGuqv2WrijW4SvQAN23alBkzZpS65WZWVhZ7\n9+6lZcuWBAQEOLd36NCBPXv2OB//8MMPzJo1i169epX4BJ2amkpeXh7//Oc/iYyMdP8bqUDuOicA\n06ZNo3379qVeMysrq4LfhXu489y8+uqrtGrVCij8/lmzZg2dOnVy47upWO48NwCbNm0iKSmJwYMH\nV5veKnDveUlKSqJx48bufQNuphpcmmpw2VSDXVP9LVtVrMFVoge4bt26dOzY0fnYbrezbNkyOnXq\nRHp6OqGhoSWODwkJ4cyZM87HH374IQA7duwocVyLFi2YNm2aG1vuPu46J35+fqWKyZIlS6hbt67z\nE3dV565zU9zYsWNZu3YtjRo1YsiQIRX8DtzHnefm0qVLTJ06tdqNyQP3npejR49iNpt5/PHHycjI\n4MYbb2TkyJGlnrMqUw0uTTW4bKrBrqn+lq0q1uAq0QP8azNnzuTQoUOMGDGC3NxcjEZjif1Go9E5\ncNpbuOucbNiwgcWLF/Pcc8/h7+9fUc31KHecmyeeeIL58+cTFhbGyJEjq92n7SIVeW5mzpxJjx49\nnJdtq7OKPC/Hjx/HYrEwZswYJkyYwJkzZxg5ciQFBQXuaLpHqAaXphpcNtVg11R/y1YVanCV6AEu\n4nA4mD59Ol988QWTJ0+mWbNmmEwmsrOzSxxns9lKdaPXVO48J2vXriU+Pp6HH36YuLi4imy2R7jz\n3ERHRwMwceJE4uLi2LVrFzfffHOFtd3dKvrcbN++nR07drBkyRJ3Ndkj3PE9s3LlSnx9ffHzKyyn\nkydPpl+/fuzevZubbrqpwt+DO6kGl6YaXDbVYNdUf8tWlWpwlekBttvtjB8/nuXLlzNx4kS6d+8O\nQIMGDcjIyChxbGZmJmFhYZXRTI9y5zlZsWIF48aNY+DAgYwYMaJC2+0J7jg3VquVb775BovF4twW\nGhpKcHAwFy5cqNg34EbuODdr164lPT2dfv360bNnT1588UUAevbsyU8//VTxb8IN3PXzZDKZnIUX\nCi/d1alTh/T09IprvAeoBpemGlw21WDXVH/LVtVqcJUJwDNnzmTdunVMmTKFnj17Ore3bduWQ4cO\nlfiBSEhIoG3btpXQSs9y1znZuHEjb731FoMHD+b555+v6GZ7hDvOjcPh4PXXXy+x/mBKSgqXLl2i\nadOmFdl8t3LHuRkxYgTLli1j8eLFLF68mL/97W8ALF68mJiYmAp/D+7gjvOSkZFBr169SkzWOH36\nNOfPn68Ws/mLUw0uTTW4bKrBrqn+lq2q1eAqEYD37NnD0qVLeeqpp2jZsiXp6enOPzfffDPh4eHE\nx8dz5MgRFi1aRGJiIv3797+m13A4HNVqDJG7zklOTg6TJk2iW7du/PnPfy7xvPn5+R54Z7+fu86N\n2Wzm3nvv5d1332X37t0kJiby2muv0bNnT5o1a+aBd/b7uevchISEEBkZ6fxTNLkgMjISk8nk7rf1\nu7nrvNSvX5+2bdsybdo09u/fT2JiIq+88gqdOnWqNhOaQDXYFdXgsqkGu6b6W7aqWIOrxBjgjRs3\nAjB79mxmz57t3G4wGNi6dStTp05lwoQJDB48mKioKKZMmUJ4eHip5zEYDGUuDn2lfVWRu87Jjz/+\nyIULF9iyZQv9+vUrcdy7775bYpZmVeXO75eRI0cye/ZsXn75ZaxWK7169XJebqoOPPGzVPyY6sKd\n52X8+PHMnDmT559/nvz8fHr06FGtvmdANdgV1eCyqQa7pvpbtqpYgw3nz5+vPh/JRURERER+pyox\nBEJERERExFMUgEVERETEqygAi4iIiIhXUQAWEREREa+iACwiIiIiXkUBWERERES8igKwiIiIiHgV\nBWARERER8SoKwCIiIiLiVRSARURERMSrKACLiIiIiFdRABYRERERr6IALCIiIiJeRQFYRERERLyK\nArCIiIiIeBUFYBERERHxKgrAIiIiIuJVFIClSlqzZg2dO3dm8eLFld0UfvzxRzp37ozdbgfg4MGD\nJCQkVHKrREQqTufOnUv8ufPOO5kwYQI5OTlue80PPviAp556ym3PL3IlCsBSJa1du5aoqCj+/e9/\nV3ZTSnnppZc4ceJEZTdDRKRCTZo0idWrV/Pvf/+b6dOn8/PPPzNz5szKbpaIWygAS5Vz4cIFtm/f\nzlNPPcWRI0c4ePBgZTepFIfDUdlNEBGpULVq1aJevXqEhobStm1bBg8ezLp16yq7WSJuoQAsVc7G\njRsxGo306dOHxo0bs2rVKue+w4cP8/TTT9OjRw/69u3LO++8Q0FBwVX3ZWdnM2HCBO6++266du3K\ngAED2Lhxo/N5O3fuzI4dO5yPV61aRVxcXIl2ORwOhg0bxqlTp5g4cSLjx48HYN68ecTFxdG9e3eG\nDBnCnj173HZuREQ8xWw2l3g8bNgw5s6d63ycmppK586dSUlJAQrr6Lx587jrrrt47rnnAPj+++95\n6KGH6N69OyNHjuTtt9/mjTfecPl6X331FQ888ABdu3blzjvvZPLkyc4aHh8fz9///nceffRR7rzz\nTubPn8/AgQNLfP3y5csZNGhQhb1/qdkUgKXKWbNmDbfddhu+vr50796dNWvWOIvg66+/TrNmzfj0\n00+ZOHEiq1ev5quvvrrqvhkzZnD8+HHeffddli5dyk033cSbb75Jfn5+udtlMBiYMmUKDRo0YOTI\nkYwePZqNGzeybNky3njjDT777DNiYmL429/+VvEnRUTEzYpf2Tp//jxLly6lX79+zm0GgwGDwXDF\n5/j222/58MMPGT16NCkpKYwZM4bY2FgWL15M69at+eKLL1w+R0JCAlOmTOHZZ59l+fLl/PWvf2XV\nqlUlOirWrFnD0KFDeeedd4iLi+P48eMcOXLEuX/dunXcddddv+cUiBfxq+wGiBR39uxZEhISnD0E\nvXv3ZvHixWzdupXu3btz6tQpunXrRnh4OI0aNWLmzJnUrVsX4Ir7brzxRh566CGaN28OwMMPP8yX\nX37J2bNniYiIKHf7ateujY+PD0FBQQQFBZGWloafnx/h4eFEREQwfPhwevfuTUFBAb6+vhV8dkRE\n3OfFF1/E19cXh8OBxWKhTp06jBkz5pqe47777qNx48YAvP/++7Rq1YohQ4YA8PTTT7N9+3aXX2c2\nm05+nx0AACAASURBVBk7diw9e/YEoGHDhixevJijR486j2nZsiU9evRwPm7Xrh3ffPMNzZs3Jz09\nnYSEBF5//fVraq94LwVgqVLWrl2Lj48PXbp0AaBNmzaEhoayatUqunfvzpNPPsns2bNZsWIFXbp0\n4c477yQmJgbgivvuueceNm3axL/+9S+OHz/O/v37AZwrO/xWd911F8uXL+dPf/oTrVu3pnv37tx7\n770KvyJS7bzyyiu0b98egIsXL7J69WqGDBnCwoULnaH2aop3KBw6dIhWrVqV2N+uXTsuXbpU6uti\nYmIwGo188MEHJCUlceTIEU6ePEmnTp1cPjcU1t9ly5bx9NNPs2HDBtq0aXNNHRri3TQEQqqUtWvX\nkp+fT58+fejSpQu33XYbGRkZfPfdd1y4cIFHHnmEFStWMHToUM6fP8+YMWP48MMPAa64b9y4cbzz\nzjvUrl2bP//5z8yYMeOK7Sjv0Ij69euzdOlSZs6cSZs2bfjXv/7FY489Rnp6+u87ESIiHhYaGkpk\nZCSRkZG0atWK0aNHU69ePVasWOHy+KKhacUZjUbnv/38/EpNGC6r02Hbtm08/vjjZGRkcNttt/HW\nW285w7ir5waIjY3l5MmTJCUl8c0333DnnXeW632KgHqApQo5ceIE+/fvZ/To0XTs2NG5/dSpU4wa\nNYrPP/+czMxMHnvsMR544AEeeOABPvroI9asWcNDDz3EnDlzXO4bNGgQa9euZf78+bRt2xaA7777\nDvhlzJu/vz/Z2dnO10xNTS2zncXHr61fv57MzEweeOABbr31Vp577jnuuusuEhISiI2NrdDzIyLi\naXa73Rlaf10niya/lSU6Opr//ve/Jbbt37+f6667zvm4qJ5++eWX3HPPPfz1r38FCjshkpOTufnm\nm8t8/rp169KpUyf+7//+j3379jFp0qRre3Pi1RSApcpYu3YttWrV4k9/+hP+/v7O7dHR0bRv357N\nmzeTk5PDmTNnGD58OPn5+WzdupWYmBiCg4PZvn27y30mk4mAgAA2bNhAvXr1OPH/2bv3uKjq/H/g\nrxmYCzflKmNQYJm3AC+tsFqJmppfUSvd0jXNbipumJdsNe8ampgoUmLr5pZu/NLVXFe3vHVZt9JS\nd0FAbL2AGSjgDILc5n5+fwwcGW6izsDAvJ6PB8E5nzOHc47x4cWZ9/l8rlwRx7bU6/UAgJ49e2LP\nnj146KGHcPnyZXzxxReQSht+g8Td3R2XL1/GzZs3YTQa8cEHH8Df3x89evTAqVOnoNfr0a1bN/tf\nMCIiG7p586b47pVOp8OBAweQn5+PJ598EgDQq1cv/POf/8TIkSMBWCayaOqhuGeffRapqan45JNP\nMGTIEHz77bc4c+aMVQCuuQnRsWNHZGRk4OLFi5BIJNi+fTtu3rwp9tGNeeqpp7BmzRr07dsXvr6+\n93T+5FyaVQKh1+sxceJEnDx5stFtLl++jJkzZ2LQoEH43e9+Z/XkJmB5OnPcuHEYNGgQ5s+fjxs3\nbli1p6SkYOTIkRg2bBiSk5PvuTaT2p6aJ3hrh98a48ePx/nz55GQkICqqiq8/PLLmDFjBu6//368\n9dZbAID33nuvwTZXV1esXLkSx44dw4QJE7Bt2zYsXboUnTt3FscYfuutt3Dz5k38/ve/x44dOzBj\nxgyr71+7k3/uuefw97//HWvWrMHIkSPx8ssvY9OmTXj++eexa9cuxMfHN7tejqgpeXl5mDdvHoYN\nG4bRo0dj06ZNjQaCWbNm1ZvN69///rfYzj6YbmfRokWIiYlBTEwMJk6ciFOnTiEhIQHh4eEAgEmT\nJqFHjx6YMWMGli5dipdffrnRGwUAoFKp8O677+Kf//wnXnjhBWRmZiI6Olrs42uPKjFt2jT4+/vj\n1Vdfxdy5c9GtWzdMnTpV7KMbC9o1D8Wx/IHulKSkpKTJEf11Oh2WLl2KY8eO4YMPPrB6a7pGZWUl\nnn/+efTv3x+vvvoqfvjhByQnJ+PTTz9Fly5dkJ2djRkzZmDhwoXo3r07EhMTIZfLsWnTJgBAamoq\nPvvsM8THx8NsNmPZsmV47rnnMHXqVPucNRGRgzMYDJg8eTIefPBBxMbGQqPRID4+HtHR0Zg9e3a9\n7UePHo05c+ZYvWXs5eUFmUzGPphaxaVLl2AymazeEZs7dy4eeeQRvPbaazb5HteuXcPzzz+PgwcP\nwtPT0yb7JOfQ5B3gnJwcvPLKK7et8/nyyy8hk8mwZMkSBAcHY8KECYiKikJGRgYAYNeuXRg6dChi\nYmLQtWtXrFixAj/++KO43507d2L69Ono06cP+vXrh7i4OOzZs8dGp0hE1PacPXsW+fn5WL58OUJC\nQtCvXz/MmDEDhw4dqrdteXk5rl+/jrCwMPj6+oofNXfa2AdTa8jLy8Mf/vAHnDx5EteuXcO+fftw\n+vRpDBky5J73rdVq8fXXXyMhIQFDhw5l+KU71mQNcFpaGvr374/Y2FirsffqOn36NJ544gmroZ82\nbNggfn327FlMnjxZXA4MDIRKpUJmZibkcjmKiorQt29fsT0iIgJFRUUoKipCp06d7urEiIjastDQ\nUGzcuLHebFzl5eX1ts3NzYVcLkdgYGCD+2IfTK0hOjoaOTk5iI+Px40bNxASEoI1a9aI47Hfq3ff\nfRedO3fGkiVLbLI/ci5NBuDx48c3ayf5+fno3r07EhIScOzYMfj7+2P69Ol4/PHHAQAajQYBAQFW\nr/Hz80NhYaFYcF+7vaaQnZ0vETkrb29vq5Izs9mM3bt3W42LWiM3NxdeXl5YvHgx0tPTERgYiGnT\npmHgwIEA2AdT63n55Zfx8ssv23y/SqUSX331lc33S87DJuMAV1RU4NNPP0WHDh2QlJSEYcOG4a23\n3sL//vc/AJa3Kuo+2CSTyWAwGKDVasXlGjVj/d3u6U8iImeRlJSECxcuIC4url7b5cuXodVqER0d\njeTkZAwcOBBvvvkmzp49C4B9MBFRXTYZBs3FxQVdu3bFzJkzAQDdunVDeno69u7di7fffhtyuRwG\ng8HqNQaDAUqlEgqFQlyuKaGo6XTrvvVHRORsBEHAhg0b8PnnnyMhIQFdunSpt82sWbPw2muvwd3d\nHQDQtWtX/Pzzz9i7dy8eeeQR9sFERHXYJAAHBARYjesHAA888AB++eUXsV2j0Vi1azQa+Pv7i2+v\naTQaBAUFiV8DlllpiIicldlsRnx8PA4fPow1a9bgiSeeaHA7iUQiht8aISEhuHTpEgD798GD9xeJ\nX8ukwG87KTDifiWiOskhd2l8nFgiotZikxKI8PBwnDt3zmpdbm6uOCd3WFgY0tPTxbbCwkIUFBQg\nLCwM/v7+UKlUSEtLE9vPnDmDgIAA1p4RkVNLSkrC0aNHsW7dOgwePLjR7RYsWICEhASrdefPn0dI\nSAiAlu2DDWbguwIdlp4qxe+OqLHhTBmyig31psQlImpNd30HWK1Ww8vLCwqFAuPGjcPf/vY3fPDB\nB3jmmWfw3Xff4dSpU3j99dcBWB6mi42NRUREBMLCwpCYmIiBAwciODgYADBu3DikpKRApVJBKpUi\nJSUFEydOtM0ZEhG1QZmZmdi1axdef/11dO/eXXxYDbDcma3dBw8ZMgSrV69Gnz590LNnTxw6dAgZ\nGRl4++23AbReH3zTIGD/L1XY/0sV7nN3wYj7lRgerECQBychJaLWdduJMGpERUWJE2GUlZVh2LBh\nWLZsGWJiYgAAWVlZSExMxMWLFxEUFITXX3/d6u26L774Alu3bkVpaSmioqLw9ttvw9vbG4Dlbb73\n338fBw4cgFQqxZgxYzBr1iw7nC4RUduQnJyM1NTUeuslEgkOHTqEp556CkuXLsXo0aMBAHv27MFn\nn32GoqIidO3aFbNnz0afPn3E19mzD75aYcLRPC2O5GmRX2G67fZhPjIMv1+JIfcp0EFukzciiYju\nSLMDcF27du2Cr68vhg8fbutjIiKi23DEPlgQBGTfMOJonhbf5Gtx09D0rxfWCxNRa7mrAGwwGBAb\nG4vExETxDgIREbWMttAHG8wCfirU40ieFicKdTCYm97eSybBkPuUGHG/Eo/4uEIiYRgmIvu56zvA\nJpPJauY3IiJqOW2pDy7Tm/GvqzocydMis9hw2+3vc3fB8GDLnWHWCxORPdx1ACYiIrpTVytM+Kq6\nXjivGfXCj/i4YkSwEkOClKwXJiKbYQAmIqIWJwgCzpUYceRXLb65qsVNfdO/ilwlwG8D5RgRrMRv\nAxWsFyaie8IATERErcpgFnCySI8jv2pxvJn1woPvU2BEsBJhvjLWCxPRHWMAJroHgiBAACwf1T9J\nZsGyjOp1lnahzrLlP7Vfe+tz9ba11jf0WjME8XvWPYaGXytYf69axyAB4OYqgYdMAg9XKZQuYKig\nVlFmMOPYVR0O/9rcemEphgcrMTxYiWBP1gsTUfMwAJNNCIIAkwAYzYBBEGAyW+7q1CwbzYDRLMBg\nBkyC5bPRLMAo1NrObNlHzbLRLMAgVG/XwLKh+vUNLdfev7gsWL533eAJ1A2MQgOhtH5obc+kEsCj\nViC+9bUEHjLrZXdXKTxllmV3Vwk8XaVwr25zlTJE0927Vmt84TupFx4cpERH1gsTUROaFYD1ej1e\nfPFFzJs3D5GRkU1uW1paigkTJiAuLk4coB0Ajh49ii1btkCtViMyMhKLFy+Gj4+P2J6SkoL9+/fD\naDRi7NixiIuLg1TKDqy5TIKA61VmFFSaoNGZYTDVD4MGATCZGw6fRqFWiKxetg6RjbTVWiaqS+kC\nuLtKb4XnBgJ0U8vurhK4uUh4N9rJsV6YiGzttu8X6XQ6LF26FLm5uc36JbRhwwbcuHHDatvs7Gys\nWrUKCxcuRPfu3ZGYmIgVK1Zg06ZNAIDU1FR8+eWXWLt2LcxmM5YtW4aOHTti6tSp93Bq7YtZEKDR\nmnGt0oSCSkvQLagyoaDShGuVJhRVmWFq77clqc3RmgCtyYxi3d3vo+ZutLurBJ4yKdyrw7Fn9d1n\nD5kEntVh2aN22JZZL/NudNslkUjQy0eGXj4yvB7medt6YaMAfF+gx/cFetYLE1GDmgzAOTk5WLp0\nabN3dvz4cZw7d87qzi5gmbFo6NCh4rTJK1aswNixY5Gfn4+goCDs3LkT06dPF6ftjIuLw+bNm50q\nAAuCgGKd2SrcWsKuJfAWVpl4l9WBSWo+JLc+o846QFJn2fK1tHpDSa39QCKx2mfdfUlqbQ9IrJcl\nqPdaKW7V9DZ0DIIAVBoFVBjMqDAK0DvQ/2tmASgzCCgzCCisuvsDU7jAqpyjJlB7uErg3kigjuyk\nsOGZkC3IpBI8plLgMZVCrBc+8qsWGY3UC5cZBBz4RYsDv2hZL0xEoiZ7gLS0NPTv3x+xsbGIjo5u\nckcVFRVISEjAypUrsWTJEqu2s2fPYvLkyeJyYGAgVCoVMjMzIZfLUVRUhL59+4rtERERKCoqQlFR\nETp16nQ35+VwBEFAqV64FW4rTCioMtcKuSaHCh13QyqxTG3qKpHAVWr5ReUisXx2rV4vkwKuUstn\nl1rLrlJAVv26hpZr7/fWcs3XNd/n1rKlrf4xuNSEwNsERkmdsFo3MN7avn3eTTKYBVQYBFQYzdWf\nay1Xf11pFFBeHZgrDQLKqwO0Zb2l3ZHelNCZAN0d3o3+19j20f+0V14yKUaHuGF0iJulXjhfi6O/\navFrI/XCVyvN2H6+EtvPV6JXrfGFWS9M5HyaDMDjx49v9o7ef/99DBgwQLyLW5tGo0FAQIDVOj8/\nPxQWFkKtVgOAVbuvry8AtKkALAiWX/pioK0VbmvKFrR2rlHwlkvQ2d0FAW4ucHORwEXazPBZKzze\nCpW122oF0zrLNfuqHS6p7ZNJJfBWSOCtuPtgYBYEaE23wnCjgbqRgF1RHajb+h+G1DI6e7jgxW4e\nmPKwO34uMeJInhbf5GtR2ki9cPYNI7JvlOODrHJEVdcLD2C9MJHTsMl7QP/973/xww8/YOfOnQ22\na7VayGQyq3UymQwGgwFarVZcriGXywFYHr5zJBUGS4nCtTr1tzVlCxVG+wbcDjIJVO4u1R9SdK75\n2s3y2c2VHTc5DqnEUkbgfo+9TO270TV3ly13oM0or777XFF9N7omaFvWV4fp6m2Yo52DRCJBTx8Z\nevrI8Poj1fXCeVr8UNB4vfAPBXr8UKCHp0yCIfcpMDxYiXDWCxO1a/ccgLVaLVavXo0333wTHh4e\n4npBuBUG5XI5DAbr+iyDwQClUgmFQiEu18xrXxN8lUrlvR7eHakyCg3W39aUKNw02DfgerhK6oXb\nzmLAlcJDxrfpyPnY4m60IAioMgnNvvtcU95BbZurVIKBKgUG1qoXPpqnxRlNw/XC5bXqhTtX1wuP\nYL0wUbt0zz/V2dnZyMvLw4oVK8R1Wq0WCQkJOHv2LBYsWICAgABoNBqr12k0Gvj7+4slDhqNBkFB\nQeLXAODv73+vh2dFZxJQWGV91/bWXVwTSm4ztM69UrpI0NldKt7FtYRbKTp7WEKuF+vQiOxCUutu\ndMDtN6d2yKpeuNKEr6rHF/61vOF64WuVZuw4X4kd5yvRs6Ze+D7lPf0hRkSO454D8COPPIK9e/eK\ny4IgYPr06Zg0aZI4DnBYWBjS09MxduxYAEBhYSEKCgoQFhYGf39/qFQqpKWliQH4zJkzCAgIuOP6\nX4NZQGF1/W3dcHut0oxinX3v6MiluBVs64RblbsLOso5nikRUWvr7O6CKd08MPlhd/yvxIjDt6kX\nPnfDiHPV9cK/Zb0wUbtw1wFYrVbDy8sLCoVCDK41pFIpfHx84O3tDcDyMF1sbCwiIiIQFhaGxMRE\nDBw4EMHBwQCAcePGISUlBSqVClKpFCkpKZg4cWKzj2XW9zdQUGmCWmu261PnMikQ6NZw/a3KXQpf\nhZQBl4iojZBIJOjhI0OPZtYLm1gvTNRu3FUALisrQ0xMDJYtWyaO7duU8PBwLFq0CFu3bkVpaSmi\noqLw9ttvi+1TpkxBSUkJFi5cCKlUijFjxlgNm3Y7zZkvvjmkEiDQrVa4rVV/29ndBX5KKaTs5IiI\n2h3WCxM5l2ZNhdyQXbt2wdfXF8OHD7f1Md2xwfuLmrWdFECAm7RWuLV+2MxPKeVsUUREJGpOvXBt\nNfXCEb5yBHu6QMEyCSKHdFcB2GAwIDY2FomJiWKZQ2uqCcASAH5KaXWglYp3cGtCbic3Blwiajvy\n8vKwYcMGZGRkQKlUYvjw4Zg5c6Y4VGRt58+fx9q1a3Hx4kWEhoZi4cKF6NWrl9h+9OhRbNmyBWq1\nGpGRkVi8eLHVrJ0pKSnYv38/jEYjxo4di7i4OEilfOCrhiAI+F/1+MJfN1EvXJsUludCQrxcEOLp\nihAvFzxQ/dmTo/oQtaq7vgNsMpnEYcta26kiHTq7u6CTmwsfSiCidsFgMGDy5Ml48MEHERsbC41G\ng/j4eERHR2P27NlW21ZVVWH8+PEYMWIEnn32WXz++ec4cuQI9u7dC3d3d2RnZ2PGjBlYuHAhunfv\njsTERMjlcmzatAkAkJqais8++wzx8fEwm81YtmwZnnvuOaeajv5OGM0CThbpcTRPi+8bqRe+HT+F\n1BKMvVwR4mn5/ICnC58lIWohdx2AiYjIftLT0xEXF4evvvpKHBP98OHDSEpKwsGDB6223b9/P7Zt\n24Z//OMf4rrx48fjxRdfxNNPP43ly5cDAFauXAnAMhLP2LFjsXfvXgQFBWHMmDGYNm2aOFLPoUOH\nsHnzZhw4cKAlTrVNK6+uFz7SRL3wnfCUSWoFYlfx7rHKnc+gENkSq/WJiBxQaGgoNm7cWG9CoPLy\n8nrbZmVloXfv3lbrevfujczMTDz99NPIysrClClTxLbAwECoVCpkZmZCLpejqKgIffv2FdsjIiJQ\nVFTUpqajby2eMiliQtwQE+KGgkoTvs63BOFfyoworLrzW8PlBgFnbxhx9obRar1cCtxfKxDXlFME\ne/CdT6K7wQBMROSAvL290b9/f3HZbDZj9+7diIyMrLetRqNBSEiI1TofHx9cvHgRAFBcXIyAAOsp\nQPz8/FBYWAi1Wg0AVu2+vr4AwAB8h1TuLnjhYQ+88LBlucoo4NdyI34pN+GXMiOuVH/OqzDBdIfv\nverNwKWbRly6aQSgE9dLJcB9deqMQzxd8YCXC9xdWWdM1BgGYCKiNiApKQkXLlzAJ598Uq9Nq9XW\nezBOLpeL08prtVrIZDKrdplMBoPBAK1WKy7Xfi1wa1p6ujturhJ085ahm7f1tTeaBeRXmMRA/Eu5\nEb+UmXCl3Ajt7QeasGIWgLwKE/IqTPgB1v9eAUpprUB8q9bYm5MyETEAExE5MkEQsGHDBnz++edI\nSEhAly5d6m1TO+zW0Ov1YvmEXC6HwWBdn2owGKBUKqFQKMTlmgeba/ZVt/yCbMNVKrE8/Obliic6\nK8T1ZkFAUZUZv5QbcaXMJAbjX8qNuNmMUSfquq4147rWjNPXrf/tO8gkVoE4xNMFD3i5ItCNdcbk\nPBiAiYgclNlsRnx8PA4fPow1a9bgiSeeaHC7Tp06QaPRWK3TaDTw9/cHYClvaKy9psRBo9GIs3rW\nbFvzemoZUolEHKc+qk7lSYnObBWIawJy0V3UGd80CMgqNiCrziRSSpfqOuPqQBxaHZCDPFw4hCi1\nO80KwHq9Hi+++CLmzZvXYP0ZYBljctu2bbh27RqCg4MRGxtr1VlzDEoiojuTlJSEo0ePYt26dXjs\nscca3S4sLAx/+ctfxGVBEJCRkSEOYxYWFob09HRxlIfCwkIUFBQgLCwM/v7+UKlUSEtLEwPwmTNn\nEBAQwPpfB+KtkMJbIUdvP+v1lUYzrpSbcKXsVq3xL+Um5FeYYL7Dm8ZaE3Ch1IgLpdZ1xi4SIMij\n/ljGD3i6ws2VwZjaptsGYJ1Oh6VLlyI3N7fRmqH//ve/WLFiBf74xz/iN7/5Db7//nssWLAAn3zy\nCbp164bs7GysWrXKagzKFStWWI1B+eWXX2Lt2rXiGJQdO3bkGJRE5LQyMzOxa9cuvP766+jevbv4\nsBpguTOrVqvh5eUFhUKBoUOHYvPmzXjvvfcwfvx47Nu3D1VVVRgxYgQAy5BosbGxiIiIQFhYGBIT\nEzFw4EAEBwcDAMaNG4eUlBSoVCpIpVKkpKRg4sSJrXLedGfcXaXo4S1Fjzp1xobqOuNfagfjMhN+\nrTBCd4d1xiYBlpBdbsJ3BdZtgW5Sq+HaaoKxt4I3sMixNTkOcE5ODpYuXQoAuHjxIj744AOrp5Jr\nrF69GlqtFu+88464btasWejRowdef/11jkFJRHSHkpOTkZqaWm+9RCLBoUOH8NRTT2HZsmWIiYkB\nAGRnZ2Pt2rXIzc3Fww8/jAULFqB79+7i67744gts3boVpaWliIqKwttvvy3O5Gk2m/H+++/jwIED\nkEqlGDNmDGbNmtUyJ0otyiwIKKxsuJyizGC7aQE6yiX17hiHeLqikxsn+iDH0OQd4LS0NPTv3x+x\nsbGIjo5udLvnn3++3hPGwK3xKjkGJRHRnXnjjTfwxhtvNNo+b948q5EfevXqhR07djS6fUxMjBiW\n65JKpZg9e3a9Geao/ZFKJOjs4YLOHi74beCt9YIg4IZOqA7E1uUUau2d1xmX6gVkFBuQUafO2FUC\n+Cik8FVK4auwfNRd9q1ednPhaBVkP00G4PHjxzdrJw8//LDV8qVLl3D69GmMGzcOAMegJCKyJYPB\ngCNHjiAxMbG1D4XaCYlEAl+lBL5KOfr6Ww+pV2Ew1xqyzTJc2y9lJlytMOFOo7FRuDU6xe0oXFAr\nFLtYBWWfWkHZVyGFgpOB0B2y+SgQxcXF+OMf/4i+fftiyJAhADgGJRGRLclkMmzdulUctozInjxk\nUvT0kaKnj/XvcZ2pfp3xleqAbLjzm8b16EzAtUozrlWaARib3NbDVSIGYh9F43eXfRRSjmhBAGwc\ngAsLC/HGG2/A1dUVa9euFddzDEoiItti+KXWpnCR4MEOrniwg3WUMAkCCipN4uQeYq1xuQnlNqwz\nrq3CKKDCaMKvFbd/wq+DXGJdblEvOFvuNndUSODCEox2y2YBOD8/H3/4wx/g7u6OlJQUdOjQQWzj\nGJRERETOwUUiQZCHK4I8XDEQCqu2KqOAGzozbujMKNaZUaw1WT7X+rihM6NYa4beBneRG3JTL+Cm\n3oTLZU2HZSksw8/VLbdoKDR7yViv3NbYJACXlpYiLi4OHTp0wAcffICOHTtatXMMSiIiInJzlcDN\n1QX3eTT9DoYgCKioDsvF1YG42Co4Wwdmkx1uLJsB8Xtcus22rhLctvyCD/c5lrsOwLXHoNyyZQtK\nS0uRkJAAg8EgPtimVCrh6enJMSiJiIio2SQSCTxlEnjKpLjfs+ltzYKAm/paYbnWXWTLsgk3dAKK\ntSaU6AXYowjDKABFVeZmzcyndEG9cgt/pRThfjKE+8pYo9xCmhwHuLaoqChxHOCysjIMGzZMHINy\nxIgRuHnzJgTBelcjR44Ux/7lGJRERETUmoxmAaX6WiUXWnOjwdmW4yI3l4erBFGBcgwMVCCqkxxe\nck4oYi/NDsB17dq1C76+vhg+fLitj4mIiIioVelNAkr01uUWjZVjVNmhBkMqASJ8ZRioUmBgoBzB\nnjYfuMup3VUANhgMiI2NRWJiongXl4iIiMgZVVnVK5us7irXDc53O0TcA54uGBiowECVHL18WCpx\nr+76DrDJZOIwPERERETNVPNwX93yi/OlRvxYqEOpvnmRrINcgt92soTh/gFyeMhYKnGn7joAExER\nEZFtmAQB524YcbxAh+OFutsO01bDVQL08ZdhYKACA1QKdHbnzcnmYAAmIiIicjBXK0w4XqjD8QId\nzmgMzR7q7UEvFwxUKTAgUIGePq6Qcsi1BjEAExERETmwMoMZp4r0OF6gw09F+maPUOGjkGJAFLbz\nnQAAIABJREFUoBwDAhX4TYAcbq4MwzUYgImIiIjaCKNZQFaxobpUQo+8Zkz/DAAyKfCovxwDVAoM\nCJSjk5tzl0owABMRERG1UVfKjTheYLk7nFVsQHMHmejW0RUDAuUYqFKgW0dXp5udjgGYiIiIqB0o\n1ZvxU6Eexwt1OFmkR6WxeRHPXykVw3A/fzkULu0/DDcrAOv1erz44ouYN28eIiMjG9zm/PnzWLt2\nLS5evIjQ0FAsXLgQvXr1EtuPHj2KLVu2QK1WIzIyEosXL4aPj4/YnpKSgv3798NoNGLs2LGIi4uD\nVMphPYiIiIjulMEs4IzGgBMFOvxQqENBZfPuDStdgEcDLLPR/TZQDj9l+yyVuG0A1ul0WLp0KY4d\nOyZOhVxXVVUVxo8fjxEjRuDZZ5/F559/jiNHjmDv3r1wd3dHdnY2ZsyYgYULF6J79+5ITEyEXC7H\npk2bAACpqan47LPPEB8fD7PZjGXLluG5557D1KlT7XPWRERERE5CEATklplwolCHHwp0OHfDiOa+\n/d/Tx9UyAUegAg92cGk3pRJNBuCcnBwsXboUAHDx4sVGA/D+/fuxbds2/OMf/xDXjR8/Hi+++CKe\nfvppLF++HACwcuVKAEBhYSHGjh2LvXv3IigoCGPGjMG0adMwduxYAMChQ4ewefNmHDhwwHZnSkRE\nRES4oTPjx+owfPq6HtrmPUeHQDepODVzbz855G24VKLJGoO0tDT0798f27Zta3InWVlZ6N27t9W6\n3r17IzMzU2zv27ev2BYYGAiVSoXMzExcv34dRUVFVu0REREoKipCUVHRHZ8QEVF7o9frMXHiRJw8\nebLRbWbNmoWoqCirj3//+99i+9GjRzFu3DgMGjQI8+fPx40bN6xen5KSgpEjR2LYsGFITk6G2XyX\n87USkcPzUUjxfw+4IT7SG/8YGYCEqI4YG+IGf2XTpaeFVWb8PbcKb/1YiqcPqbH8VCkO/1qFEl3b\n6y9cm2ocP358s3ai0WgQEhJitc7HxwcXL14EABQXFyMgIMCq3c/PD4WFhVCr1QBg1e7r6wsAKCoq\nQqdOnZp1DERE7VFNGVpubm6Tbz3m5uZi9erV6Nevn7jOy8sLAJCdnY1Vq1ZZlaGtWLHCqgztyy+/\nxNq1a8UytI4dO7IMjcgJKFwkiApUICpQgbmCJy7etIwq8UOBDudLjY2+rsok4Ng1HY5d00GKMvTy\nleGx6gfpHvB0/FKJJgNwc2m1Wsjlcqt1crkcer1ebJfJZFbtMpkMBoMBWq1WXK79WgDi64mInFHt\nMrSmlJeX4/r16wgLCxNvINS2a9cuDB06FDExMQCAFStWYOzYscjPz0dQUBB27tyJ6dOno0+fPgCA\nuLg4bN68mQGYyMlIJBI83FGGhzvKMLW7B9RaE04UWEaV+M91PfSN3Og1A8gqNiCr2IA/navAfe4u\neExlCcPhvjK4Sh0vDNskANcOuzX0ej2USqXYbjAYrNoNBgOUSiUUCoW47OLiIr4WgPh6IiJnVFOG\nFhsbi+jo6Ea3y83NhVwuR2BgYIPtZ8+exeTJk8Xl2mVocrm8yTI0vgtH5Lz8lS4YE+qGMaFu0BoF\n/EetFyfguNFE2cPVShN251Rhd04VPGUSRHWyjCoR2UkOL7ljjPBlkwDcqVMnaDQaq3UajQb+/v4A\nLOUNjbXXdK4ajQZBQUHi1wDE1xMROaPmlqHl5ubCy8sLixcvRnp6OgIDAzFt2jQMHDgQgKVPZRka\nEd0LpasEj6kUeEylgFkQ8L8SI44X6nC8QI9LNxsvlSg3CPg6X4ev83WQSoDefjIMDLTMRhfsaZMY\neldsEsPDwsKQkZEhLguCgIyMDISFhYnt6enpYnthYSEKCgoQFhYGf39/qFQqpKWlie1nzpxBQEAA\nO14ioma4fPkytFotoqOjkZycjIEDB+LNN9/E2bNnAbAMjYhsSyqRoKePDK/28MS2wb7YOcwPs8M9\n0T9ADtcmqh3MApCmNmDz2XJM/qYYL36jwZ+yy5Gh0cMktOy8bHcdvdVqNby8vKBQKDB06FBs3rwZ\n7733HsaPH499+/ahqqoKI0aMAGC5ixEbG4uIiAiEhYUhMTERAwcORHBwMABg3LhxSElJgUqlglQq\nRUpKCiZOnGibMyQiaudmzZqF1157De7u7gCArl274ueff8bevXvxyCOPsAyNiOxK5e6CZ7u449ku\n7qg0mnGqSI/jhXqcKNThpr7xYHul3IQrFyvx2cVKdJBLMKCTAgNUcvQPkMNDZt9SibsKwGVlZYiJ\nicGyZcsQExMDDw8PbNiwAWvXrsX+/fvx8MMPIykpCW5ubgCA8PBwLFq0CFu3bkVpaSmioqLw9ttv\ni/ubMmUKSkpKsHDhQkilUowZM8aqXo2IiBonkUjE8FsjJCQEly5dAsAyNCJqOe6uUkTfp0T0fUqY\nBAHZxQYcL7TUDv9S3viAwzf1Ag7naXE4TwtXCdDHX4b1A3wa3f5eNTsA//TTT+LXXl5emDdvntXI\nD7169cKOHTsafX1MTIz4BHJdUqkUs2fPxuzZs5t7OEREVG3BggXw9fXFggULxHXnz5/Hgw8+COBW\nGVrNZEONlaHVBGCWoRGRLbhIJAj3kyPcT44ZvTyRX2EZYu1EoQ5nNAaYGrk5bBSA09cNDTfayF3d\nATYYDDhy5AgSExNtfTxERNQMtcvQhgwZgtWrV6NPnz7o2bMnDh06hIyMDPGdNpahEZEjCPJwxXMP\nueK5h9xRZjDjZJEeJwp0+LFIj3JDG6gBlslk2Lp1q1gvRkRELaemDG3p0qUYPXo0Ro4cifLycmzd\nuhVFRUXo2rUrkpOTxTu6LEMjIkfjJZPiySAlngxSwmgWkFlswIkCHX4o1CO/oplzM98DSUlJSctG\nbiIiume7du2Cr68vhg8f3tqHQkRkM4Ig4Eq5CScKdZjY1cNu38cxRiMmIqJmqylD69+/f2sfChGR\nTUkkEoR4udo1/AK8A0xE1CaZTCaWoRER3SXeASYiaoMYfomI7p5NA7BarcaCBQvw5JNPYvTo0di8\neTPMZstc0deuXcOsWbMQHR2NCRMm4MSJE1avPX36NCZNmoRBgwZh5syZyMvLs+WhEREREREBsHEA\nfuedd3Dz5k38+c9/xsqVK/HFF1/g//2//wcAmD9/Pry9vbF9+3aMGjUKCxYswNWrVwFYxqScP38+\nRo0ahR07dsDPzw/z58+H0MLT4hERERFR+2fTAJyeno7f//73ePDBB/Hoo4/iqaeewunTp3Hq1Clc\nuXIFixYtQmhoKKZOnYqIiAjs378fALBv3z5069YNkydPRmhoKJYsWYLCwkKcOnXKlodHRERERGTb\nANyrVy8cPHgQWq0W169fx4kTJ9CzZ0+cPXsWPXr0EKdGBoDevXsjMzMTAJCVlYW+ffuKbUqlEj16\n9BDbiYiIiIhsxaYBeOXKlTh37hyGDBmC0aNHw9/fH6+99hquX78OPz8/q219fHxQVFQEwDLvfEBA\ngFW7r6+v2E5EREREZCs2C8CCIGD58uUICAjAn/70JyQlJeHq1avYtGkTdDod5HK51fZyuRx6vR4A\noNVqIZPJrNplMhkMBvvOA01EREREzueupkJuSGZmJtLS0nDgwAHxbu7ixYsRFxeHZ555BuXl5Vbb\n6/V6sSRCLpfXC7sGgwHe3t62OjwiIiIiIgA2vANcWFiIDh06WJUydO/eHWazGf7+/tBoNFbbFxcX\nw9/fHwAQEBAAtVpt1a5Wq+uVTRARERER3SubBeDg4GCUlZVZBdnLly8DAEJCQnDhwgVotVqxLT09\nHWFhYQCA8PBwnDlzRmzTarU4f/682E5EREREZCs2C8A9e/ZEeHg4VqxYgYsXLyIzMxNr1qzBqFGj\nMHToUKhUKqxcuRKXLl3C9u3bkZ2djWeeeQYAMGbMGGRlZeHjjz9GTk4O4uPj0blzZ0RGRtrq8IiI\niIiIAACSkpISm802UVpaig0bNuDHH3+Eq6srnnzyScTFxUEulyMvLw/x8fE4e/YsgoODMXfuXKuA\ne+LECWzcuBEFBQUIDw/HokWLEBQUZKtDIyIiIiICYOMATERERETk6Gw6DjARERERkaNjACYiIiIi\np8IATEREREROhQGYiIiIiJwKAzARERERORUGYCIiB6fX6zFx4kScPHmy0W3Onz+PV155BYMGDcKL\nL76I7Oxsq/ajR49i3LhxGDRoEObPn48bN25YtaekpGDkyJEYNmwYkpOTYTab7XIuRESOgAGYiMiB\n6XQ6LFmyBLm5uZBIJA1uU1VVhTlz5iAiIgJ//etf0adPH8ybNw+VlZUAgOzsbKxatQqvvvoq/vKX\nv6CiogIrVqwQX5+amoovv/wSa9euxbp163DkyBH89a9/bYnTIyJqFQzAREQOKicnB6+88gry8/Ob\n3O7o0aOQyWSYM2cOQkJCMG/ePHh4eODo0aMAgF27dmHo0KGIiYlB165dsWLFCvz444/ifnfu3Inp\n06ejT58+6NevH+Li4rBnzx67nx8RUWuxaQA2Go3YuHEjRowYgeHDhyMhIQEGgwEAcO3aNcyaNQvR\n0dGYMGECTpw4YfXa06dPY9KkSRg0aBBmzpyJvLw8Wx4aEVGbk5aWhv79+2Pbtm1NbpeVlYXevXtb\nrevduzcyMzPF9r59+4ptgYGBUKlUyMzMxPXr11FUVGTVHhERgaKiIhQVFdnwbIiIHIdNA3BycjL+\n9a9/Yf369UhMTMTx48fx0UcfAQDmz58Pb29vbN++HaNGjcKCBQtw9epVAEBhYSHmz5+PUaNGYceO\nHfDz88P8+fMhCJykjoic1/jx4zFnzhwolcomt9NoNPD397da5+Pjg+vXrwMAiouLERAQYNXu5+eH\nwsJCqNVqALBq9/X1BQAGYCJqt2wWgMvKyrB3714sXrwYERERiIiIwLRp03Du3DmcOnUKV65cwaJF\nixAaGoqpU6ciIiIC+/fvBwDs27cP3bp1w+TJkxEaGoolS5agsLAQp06dstXhERG1W1qtFnK53Gqd\nXC6HXq8X22UymVW7TCaDwWCAVqsVl2u/FoD4eiKi9sZmATg9PR1KpRKRkZHiutGjRyM5ORlZWVno\n0aMH3NzcxLam3p5TKpXo0aOH2E5ERI2rHXZr6PV68c6xXC4Xy9FqGAwGKJVKKBQKcbn2awHc9s4z\nEVFbZbMAnJ+fD5VKhUOHDmHChAl4+umnkZycDKPRCLVaDT8/P6vtfXx8xLfXNBpNvbfnfH19+fYb\nEVEzdOrUCRqNxmpd7bKIgICARts7deokLtduA1CvrIKIqL2wWQCuqKjA1atXsWfPHixevBgLFy7E\n119/jeTkZOh0urt+e46IiJoWFhaGjIwMcVkQBGRkZCAsLExsT09PF9sLCwtRUFCAsLAw+Pv7Q6VS\nIS0tTWw/c+YMAgICxHBMRNTe2CwAu7q6oqKiAitXrkRERAQGDBiA2bNn4+9//ztkMlmDb8/VlEQ0\n9vZc7ZIJIiK6Ra1WQ6fTAQCGDh2KqqoqvPfee8jJycHGjRtRVVWFESNGALA8THf48GHs27cPFy9e\nxIoVKzBw4EAEBwcDAMaNG4eUlBScPn0a//3vf5GSkoKJEye22rkREdmbzQKwv78/XFxcEBQUJK57\n4IEHoNfr4efnV+/tt+LiYqu352qeRK7RUNkEERFZHjqOiYnBV199BQDw8PDAhg0bkJmZialTpyIr\nKwtJSUniTYTw8HAsWrQIH3/8MV577TV06NABy5cvF/c3ZcoUPPXUU1i4cCEWLlyIp556CpMnT26V\ncyMiagmuttpReHg4TCYTLl26hIceeggAkJubC3d3d4SHh+PTTz+FVqsVH6pIT09HRESE+Nrab79p\ntVqcP38er776qq0Oj4ioTfvpp5/Er728vDBv3jyr0rJevXphx44djb4+JiYGMTExDbZJpVLMnj0b\ns2fPtt0BExE5MJvdAX7ggQcwaNAgrFq1Cj///DPS0tKwefNmPPvss+jfvz9UKhVWrlyJS5cuYfv2\n7cjOzsYzzzwDABgzZgyysrLw8ccfIycnB/Hx8ejcubPViBJERGRhMBhw5MgR9O/fv7UPhYioTZKU\nlJTYbLaJyspKJCYm4ttvv4WLiwtGjx6N119/Ha6ursjLy0N8fDzOnj2L4OBgzJ071yrgnjhxAhs3\nbkRBQYH4dl3tcgoiIrrFZDLBxcWltQ+DiKhNsmkAJiIiIiJydDadCpmIiIiIyNExABMRERGRU2EA\nJiIiIiKnwgBMRERERE6FAZiIiIiInAoDMBERERE5FQZgIiIiInIqdgnAq1evxsyZM8Xla9euYdas\nWYiOjsaECRNw4sQJq+1Pnz6NSZMmYdCgQZg5cyby8vLscVhERERERLYPwCdPnsT+/fvFZUEQMH/+\nfHh7e2P79u0YNWoUFixYgKtXrwIACgsLMX/+fIwaNQo7duyAn58f5s+fD0Hg/BxEREREZHs2DcBV\nVVV49913ERERIa47ffo0rly5gkWLFiE0NBRTp05FRESEGJL37duHbt26YfLkyQgNDcWSJUtQWFiI\nU6dO2fLQiIiIiIgA2DgAb9myBb/5zW/w6KOPiuuysrLQo0cPuLm5iet69+6NzMxMsb1v375im1Kp\nRI8ePcR2IiIiIiJbslkAzsjIwDfffIPZs2dblS+o1Wr4+flZbevj44OioiIAgEajQUBAgFW7r6+v\n2E5EREREZEs2CcB6vR6rV6/GvHnz4OnpadWm1Wohl8ut1snlcuj1erFdJpNZtctkMhgMBlscGhER\nERGRFZsE4I8++gj3338/hg4dWq9NoVCIYbeGXq8XSyLkcnm9sGswGKxKJoiIiIiIbMXVFjs5cuQI\nNBoNBg8eDMASYM1mMwYPHoyXXnoJFy5csNq+uLgY/v7+AICAgACo1WqrdrVajYceesgWh0ZERERE\nZMUmAfjDDz+EyWQCYBn27LPPPsO5c+fwzjvv4Nq1a/jkk0+g1WqhVCoBAOnp6eJIEeHh4UhLSxP3\npdVqcf78ebz66qu2ODQiIqdx+PBhLFu2zGpddHQ01q1bh2vXrmHNmjXIyMiASqXCnDlzMGDAAHG7\n06dPY8OGDcjLy8MjjzyCxYsXIzg4uKVPgYioRdikBEKlUiEoKAhBQUEIDg6Gp6cnFAoFgoKC0Ldv\nX6hUKqxcuRKXLl3C9u3bkZ2djWeeeQYAMGbMGGRlZeHjjz9GTk4O4uPj0blzZ0RGRtri0IiInEZO\nTg6GDBmCgwcPih/Lli3jeOxERHXYZSY4iUQifu3i4oL169fjxo0beOmll3Do0CGsW7cOKpUKANC5\nc2esW7cOBw8exEsvvYQbN27gvffes8dhERG1a7m5uejatSt8fX3FD09PT47HTkRUh01KIOqKjY21\nWg4ODsaHH37Y6PYDBgyweiuOiIju3OXLlzF8+PB66xsbjz09PV1sb2w8dr4bR0TtkV0CMBERtSyD\nwYBff/0V3333HT788EMIgoAnn3wS06dP53jsRER1MAATEbUDV65cgdlshru7OxISEvDrr79iw4YN\nqKyshE6n43jsRES1MAATEbUDDz30EL7++mtxMqKuXbsCAJYsWYJnnnkG5eXlVts3Zzx2b2/vFjhy\nIqKWZ5eH4IiIqOXVnYkzJCQERqMR/v7+0Gg0Vm3NGY+9btkEEVF7wQBMRNQOfPvtt3jqqadgNBrF\ndefPn4eXlxfCwsJw4cIFaLVasS09PR1hYWEALOOxnzlzRmyrGY+9pp2IqL1hACYiagceffRRSKVS\nrFmzBleuXMH333+P999/H1OmTMGjjz7K8diJiGqRlJSUcKRzIqJ24MKFC9iwYQPOnTsHT09PPPvs\ns+Ksmnl5eYiPj8fZs2cRHByMuXPnWgXcEydOYOPGjSgoKEB4eDgWLVqEoKCg1joVIiK7YgAmIiIi\nIqdi0xKIvLw8zJs3D8OGDcPo0aOxadMmcZida9euYdasWYiOjsaECRNw4sQJq9eePn0akyZNwqBB\ngzBz5kzk5eXZ8tCIiIiIiADYMAAbDAa8+eabUCgU2LZtG1atWoVjx45hy5YtAMB56ImIiIjIIdgs\nAJ89exb5+flYvnw5QkJC0K9fP8yYMQOHDh3iPPRERERE5DBsFoBDQ0OxceNGKJVKq/Xl5eXIyspC\n9+7d681Dn5mZCaDpeeiJiIiIiGzJZgHY29sb/fv3F5fNZjN2796NyMhIqNVqccD1GpyHnoiIiIha\ng93GAU5KSsKFCxcQFxeHqqoqzkNPRERERA7B5gFYEAQkJiZiz549iI+PR5cuXaBQKMSwW6M589DX\nLpkgIiIiIrIFmwZgs9mMd955B3v37sWaNWvwxBNPAAA6derEeeiJiIiIyCHYNAAnJSXh6NGjWLdu\nHQYPHiyu5zz0REREROQobBaAMzMzsWvXLkybNg3du3eHWq0WP/r168d56ImIiIjIIdhsKuTk5GSk\npqbW/wYSCY4fP46rV69yHnoiIiIianU2C8BERERERG2B3YZBIyIiIiJyRAzARERERORUGICJiIiI\nyKkwABMRERGRU2EAJiIiIiKnwgBMRERERE6FAZiIiIiInAoDMBERERE5FYcJwHq9HmvWrMGwYcPw\nf//3f/jrX//a2odEROQ02AcTkTNxbe0DqJGcnIysrCxs3rwZhYWFWL58OVQqFYYPH97ah0ZE1O6x\nDyYiZ+IQd4Crqqrwj3/8A3PnzkX37t0xaNAgTJkyBX/7299a+9CIiNo99sFE5GwcIgBfuHABBoMB\nffr0Edf17t0b586dgyAIrXhkRETtH/tgInI2DhGA1Wo1OnToAJlMJq7z9fWFwWBAcXFxKx4ZEVH7\nxz6YiJyNQwRgrVYLuVxuta5m2WAwtMYhERE5DfbBRORsHCIAy+Vy6PV6q3U1y0qlsjUOiYjIabAP\nJiJn4xABuFOnTigrK4PRaBTXaTQayOVydOjQoRWPjIio/WMfTETOxiECcLdu3eDq6oqMjAxx3Zkz\nZ9CjRw9IpQ5xiERE7Rb7YCJyNg7RsymVSsTExCAhIQHZ2dn497//jdTUVEycOLG1D42IqN1jH0xE\nzkZSUlLiEGPcaLVaJCQk4Ntvv4WnpycmTZqESZMmtfZhERE5BfbBRORMHCYAExERERG1BIcogSAi\nIiIiaikMwERERETkVBwmAOfl5WHevHkYNmwYRo8ejU2bNonjUF67dg2zZs1CdHQ0JkyYgBMnTjS4\nj0OHDmHatGkNtq1evRoffvih3Y7fHux1TSorK/Hee+9h9OjRGDZsGBYsWIDr16/b/XxsyV7Xpry8\nHKtWrcLw4cMxbNgwvPvuu6iqqrL7+diSvX+WatqjoqLscvz2Yq/rolarERUVZfUxbNgwu5+PrbEP\nro99cOPYBzeM/W/jHK0PdogAbDAY8Oabb0KhUGDbtm1YtWoVjh07hi1btgAA5s+fD29vb2zfvh2j\nRo3CggULcPXqVat9nD59GmvWrIFEIqm3/x07dmD//v0Ntjkqe16TDRs2IC0tDe+++y7+9Kc/QafT\n4a233oIgtI1ycHtem3Xr1uHy5cvYvHkz3n//fWRlZWHjxo0tdm73yt4/SwBQXFyMxMRE/jxVy8nJ\nga+vLw4ePCh+7Nmzp8XOzRbYB9fHPrhx7IMbxv63cY7YB7va7vTu3tmzZ5Gfn4/t27dDqVQiJCQE\nM2bMQFJSEh577DFcuXIFH330Edzc3BAaGopTp05h//79iI2NBQD8+c9/xo4dO3D//fdb7be8vBzx\n8fE4ffo0AgMDW+PU7pq9ronRaMThw4exfv16hIeHAwCWLFmCmJgYXLlyBSEhIS1+rnfKXtcGABQK\nBd566y1069YNADB27Fjs3r27Rc/vXtjz2tRYv349unTpYjVmrKOz53XJzc1FaGgofH19W/q0bIZ9\ncH3sgxvHPrhh7H8b54h9sEPcAQ4NDcXGjRvrTblZXl6OrKwsdO/eHW5ubuL63r17IzMzU1w+efIk\nkpOTMWTIEKu/oK9evQqDwYBPP/0UQUFB9j8RG7LXNQGAxMRERERE1Pue5eXlNj4L+7DntVm8eDF6\n9uwJwPL/z+HDhxEZGWnHs7Ete14bAPjXv/6FnJwcvPTSS23mbhVg3+uSk5ODBx54wL4nYGfsg+tj\nH9w49sENY//bOEfsgx3iDrC3tzf69+8vLpvNZuzevRuRkZFQq9Xw9/e32t7HxwdFRUXi8p///GcA\nwKlTp6y269atGxITE+145PZjr2vi6uparzPZuXMnvL29xb+4HZ29rk1tS5cuxZEjR3Dffffh1Vdf\ntfEZ2I89r01ZWRnWr1/f5mryAPtel9zcXCiVSkydOhUajQZ9+vTBnDlz6u3TkbEPro99cOPYBzeM\n/W/jHLEPdog7wHUlJSXhwoULiIuLQ1VVFeRyuVW7XC4XC6edhb2uyTfffIPU1FTMmjULMpnMVofb\nouxxbV5++WV89NFHCAgIwJw5c9rcX9s1bHltkpKSEB0dLb5t25bZ8rr88ssv0Gq1mD9/PuLj41FU\nVIQ5c+bAZDLZ49BbBPvg+tgHN459cMPY/zbOEfpgh7gDXEMQBGzYsAGff/45EhIS0KVLFygUClRU\nVFhtp9fr691Gb6/seU2OHDmClStX4oUXXsDo0aNtedgtwp7X5sEHHwQArFmzBqNHj0ZaWhr69etn\ns2O3N1tfm59++gmnTp3Czp077XXILcIe/8/s378fLi4ucHW1dKcJCQkYNWoUMjIy0LdvX5ufgz2x\nD66PfXDj2Ac3jP1v4xypD3aYO8BmsxnvvPMO9u7dizVr1uCJJ54AAHTq1AkajcZq2+LiYgQEBLTG\nYbYoe16Tffv2Yfny5ZgwYQLi4uJsetwtwR7XRqfT4euvv4ZWqxXX+fv7w9PTE6WlpbY9ATuyx7U5\ncuQI1Go1Ro0ahcGDB+PNN98EAAwePBhnzpyx/UnYgb1+nhQKhdjxApa37jp27Ai1Wm1HV0ybAAAb\nLklEQVS7g28B7IPrYx/cOPbBDWP/2zhH64MdJgAnJSXh6NGjWLduHQYPHiyuDwsLw4ULF6x+INLT\n0xEWFtYKR9my7HVNvv32W6xduxYvvfQS3njjDVsfdouwx7URBAHLli2zGn8wPz8fZWVlCA0NteXh\n25U9rk1cXBx2796N1NRUpKam4u233wYApKamokePHjY/B3uwx3XRaDQYMmSI1cMahYWFKCkpaRNP\n89fGPrg+9sGNYx/cMPa/jXO0PtghAnBmZiZ27dqFadOmoXv37lCr1eJHv379oFKpsHLlSly6dAnb\nt29HdnY2nnnmmTv6HoIgtKkaIntdk8rKSrz77rt4/PHH8bvf/c5qv0ajsQXO7N7Z69oolUqMHTsW\n77//PjIyMpCdnY0lS5Zg8ODB6NKlSwuc2b2z17Xx8fFBUFCQ+FHzcEFQUBAUCoW9T+ue2eu6+Pn5\nISwsDImJifj555+RnZ2NRYsWITIyss080ASwD24I++DGsQ9uGPvfxjliH+wQNcDffvstAGDz5s3Y\nvHmzuF4ikeD48eNYv3494uPj8dJLLyE4OBjr1q2DSqWqtx+JRNLo4NBNtTkie12T//znPygtLcX3\n33+PUaNGWW33/vvvWz2l6ajs+f/LnDlzsHnzZixYsAA6nQ5DhgwR325qC1riZ6n2Nm2FPa/LO++8\ng6SkJLzxxhswGo2Ijo5uU//PAOyDG8I+uHHsgxvG/rdxjtgHS0pKStrOn+RERERERPfIIUogiIiI\niIhaCgMwERERETkVBmAiIiIicioMwERERETkVBiAiYiIiMipMAATERERkVNhACYiIiIip8IATERE\nREROhQGYiIiIiJwKAzARERERORUGYCIiIiJyKgzARERERORUGICJiIiIyKkwABMRERGRU2EAJiIi\nIiKnwgBMRERERE6FAZiIiIiInAoDMBERERE5FQZgIiIiInIqDMBERERE5FQYgImIiIjIqTAAExER\nEZFTYQAmIiIiIqfCAExEREREToUBmIiIiIicCgMwERERETkVBmAiIiIicioMwERERETkVBiAiYiI\niMipMAATERERkVNhACYiIiIip8IATEREREROhQGYiIiIiJwKAzARERERORUGYCIiIiJyKgzALSgq\nKgqTJk3C5MmTxY81a9a09mGJVq5cidTU1HvaR3l5OWbOnNlo++TJk1FeXn7b7SoqKvDGG29Ap9Nh\n69atiIqKwoEDB6y2qaqqwuDBgzFv3jwAwNatW3Hw4EEAlmtdWlp6R8de+99nypQpeO655/DSSy/h\n3LlzVttdvHgRUVFR2L59+x3t35GYzWZMmjSp0farV69i8ODB9/x99u3bhz179jTYtnfvXvEa1t7u\n3LlzePfddxvdZ2xsLK5du9Zg244dOzB58mS88MIL+P3vf4/k5GQYjcZ7PAv7iY2NxTfffNNg2+rV\nq/G///0PAPD9999j69atd/U9XnnlFZSXlwMA/va3v2H37t31tpk7dy7++c9/Nrmf2/3M2ootvk9J\nSQmioqJsdER359KlS1i4cKFN9pWdnY21a9fe8esc6d/1bpSUlGDhwoWYOHEiJkyYgOTkZJjNZgC3\nfpfU9emnn2LVqlW33XdhYSFmzZol9hVffPGFzY+fHJtrax+As9myZQs6duzY2ofRIIlEcs/7uHnz\nZr3AWNunn34KwBKwmtrugw8+wLPPPguFQgEAUKlUOHjwIMaMGSNu880338DNzU087unTp9/z8df9\n90lNTcX69euxbds2cd3nn3+OkSNHYs+ePZg8eTJcXFzu+fu2tMzMTISFhdn9+5w5cwZdu3ZtsG3c\nuHENbtezZ0/s2bMH33//PR5//PF6r5NIJA3+v/rVV1/h2LFj+Mtf/gK5XA69Xo+FCxdi69at+MMf\n/mCjM7Ktpn7mTp48KV6j7OzsO/6DDrD8kvfw8ICnpycA4LvvvsPSpUsbPI7b/fzf7mfbVlrq+9jb\nsWPHbPJHJADk5OSgqKjojl/nSP+ud2PDhg0ICAjA2rVrodVq8cYbb+Dzzz/Hc889J/4uuVvvvfce\nHn/8cUyYMAHFxcUYP348IiMjERAQ8P/bO/OoKK6sgf8aGmwBFUeBiEFQokEGGJ3QgjrSwVGDMhMN\nOkcZjWM0jsKgDhK3QWVxRzaDDEuiSNBEDVFQIC6JSKPjgoricRlc0KgQNoNxQ7C7vz/6dH3dQBMy\nJ8fkxPr9RXW9qvvq3fdu3XfrvsdPVHuRXzqiA/yC0Wg0bf4+fPhwFAoF165dIzo6msbGRpKSkmhs\nbMTMzIy5c+cydOhQ8vLyOHLkCE1NTVRVVWFnZ8df/vIXdu/ezZ07dwgMDGTq1KmAdoa8fPlyXFxc\nDGQ9efKE2NhYysrKMDU1RaFQCA5CWVkZhYWF3L9/n379+rF69WpkMhn79u0jJyeH5uZmvv/+e6ZP\nn87EiRPJy8sjNzeXZ8+eYWlpCcCzZ8949913yczMxMTE8CODl5cXBw8eZNWqVUbLVVdXc/z4cRYt\nWgRojbi3tzdFRUXU1NRga2sLQH5+PmPHjuXWrVuANoL92muvCc8PUFdXR0hICJMmTWLSpElUVFQQ\nHx/PgwcPUKvVTJ482cCp1tfP8+fPqaqqMnCIHz9+zIEDB8jIyKC8vJyvv/6aMWPGALBq1SohYtfc\n3MytW7dITk6mb9++rFu3ju+++476+np69erF2rVr6d69O+PHj8fNzY3r168THByMQqEQZBUXF5OW\nloZaraZz584sXbqU/v37c/ToUbZs2YJKpcLS0pLQ0FBcXV1JT0/n3r173Lt3j9raWtzc3PDy8iI/\nP5/KykrmzZsn1LWoqAgfHx+jciwtLVGpVKxfv57Lly/z8OFD5s+fj6+vL/X19R16nqCgIIqLiykp\nKaFTp05MmjTJoC+kp6fz4MED5HJ5q3LvvPMOGzZsaNMBNkZ9fT1qtZrGxkbMzc0xNzdn0aJFfPfd\nd4A20hUTE8O1a9eQSCQMHTqU4OBgTE1N8fLy4tChQ4KudcfXr18nLi4OCwsLGhsbycjI4Msvv+TT\nTz/FxMQEa2trIiIisLOzo7i4mIyMDJqbm5HJZMyfPx93d3dqa2sJDQ0lMTGRnj17tqp3UVERWVlZ\n3L9/H7lcTnh4OCkpKdTV1REREUFERAR79uxBo9FgZWWFg4MDBw4cQCKRUFNTg42NDZGRkfTs2ROl\nUsnevXtJSEgAQKlUCnp++PAhT548wdbWltraWqKioqirq8POzo6GhgahPsbGessxm5eX12a5lpSW\nlrZpywC2bdtGQUEBpqamODg4sHLlylZyLly4YPR6fQoLC0lNTaVTp04MHDjQ4FxbcnSTAh3Hjx8n\nOTkZExMTBgwYwOnTp/n444955ZVX2LJlC4cOHcLU1JQ+ffqwaNEiHj16xOzZsykoKEAqlaJSqRg/\nfjybN2/GycmJ//znPyQmJv4om52bm8sXX3yBRqOhW7duLFq0CJlMRlpaGo8fP2bVqlUsX76c+Ph4\nLl26xOPHjwEIDw/Hw8PjherV2P3q6uqIiooSJmzDhw9nzpw55OXltdlvraysmDFjhmCj9+3bx86d\nO9m6dSvDhg3D09MTAJlMhru7O3fu3DEYo5aWlsTGxlJSUoK1tTU9evSgS5cuACxdupS7d+8a1Lt3\n795s2LCBjRs3Cva+qqoKqVQqBFxEXg5EB/gFExwcbODsbd68GWtra54/f46Pjw9r166loaGBKVOm\nEB8fj6urKzdv3mTu3Lls27YN0EbLPvvsM2xsbAgMDOTw4cOkpKRw7do1Zs6cKRhTYzPktLQ0mpub\n+fzzz1GpVISEhHDu3Dk0Gg21tbWkpKRgZmbGjBkzKCws5M033yQ3N5fExES6du3KxYsXmT9/vmAU\nKyoq2LdvHxYWFlRVVREYGEhWVpbRNpBIJKxcudJouaKiIuRyuUE7SaVSRo0axYEDB5g+fTrffvst\nT58+pV+/foID3DLSUV1dzYoVK5g5cyZvvfUWz58/Z+nSpURHR/P666/z6NEjZs2aRd++fYVoaHBw\nMBKJhIaGBszNzRkxYgQrV64U7vnll1/i6OiIk5MT/v7+7Ny5U3Aq9SNry5cvx9PTE09PT3bt2sXv\nfvc73n33XUD7WbKgoEDQk7OzM2vWrDGoe319PZGRkaSmptK/f38KCwtJTk4mNDSUDRs2sGXLFuzt\n7Tlz5gwffPCB8Fn7woUL7NixA6lUir+/P3Z2dqSlpaFUKvnwww+FupaUlBAUFNSmnH//+98sXryY\npqYmvLy8WLp0KUePHuXDDz/E19eXr776qsPPo1QqcXZ2buX86vQlkUh48803W5Vzc3OjtraWqqoq\nevXqZaQnGeLv78+xY8cYO3YsLi4ueHh44OPjw+DBgwGIjY3F2tqazz77jObmZsLCwti+fTt/+9vf\n2r1vRUUFOTk52NnZUV5eTnJyMllZWdja2rJz504yMjL461//SkpKCqmpqXTt2pUbN24wb9489uzZ\ng42NjdGxqNFoePr0KVu3buXZs2dMnDiRsrIygoODOXjwINHR0bi4uDBx4kQePHhAUFAQeXl5XLx4\nkU8++QRHR0eSk5OJjY1l/fr1+Pj4CA4vaCc34eHhgNbBGz58OAAxMTF4eHjw97//nXv37jFt2jRA\nm1ZkbKzrj9knT560axN0NDQ0sGzZsjZt2fXr18nPzycjIwMrKysSExPJzs42kNPe9fb29oKc+vp6\nVq9ezZYtW3BycjJob6VS2UrO559/znvvvWdQz8jISFJSUnjttdfIz88XPonv37+fEydOkJmZiUwm\n46OPPiI6OppNmzbRr18/lEolI0eO5NSpU9jb2+Pk5ERNTQ0ymUxwsjtis8+dO0dBQQHp6enIZDJO\nnjzJ4sWL2bVrF3PmzOHIkSOsWLGCsrIy6uvr2bp1KwCZmZlkZmYSFxf3wvTaXrnc3Fx69+4tTFpW\nr14tpCoY67dr1qwhKCiIXr16kZKSQlpaGjKZDD8/P0FmSUkJBQUFbN682aAu2dnZ3Llzh127dvH8\n+XPmzp0rOMDtpY3o7E9QUBDnz59n6tSpdO3a1Wh5kV8fogP8gmkvBWLQoEEAXLp0CQcHB1xdXQHo\n168fHh4enDt3DgBXV1chCmpvby/kuvXu3ZumpiYaGxuRyWRG61BSUkJoaCgSiQSpVEpqaioAeXl5\nKBQKYRbs7OzM/fv36dy5M/Hx8RQXF3P37l3Ky8t5+vSpcL/+/ftjYWEBGI9wt6S9crdv36Z3796t\nfh83bhyrV69m+vTpFBQU4O/v366M0NBQ7OzseOuttwD45ptvqKysZNWqVUKZpqYmysvLBQdYp5/y\n8nIWLFiAu7s71tbWQvk9e/YwYcIEAPz8/EhOTqasrAwPDw+hTEJCAk+fPhXkTJ48mdLSUnbs2MGd\nO3e4ceOGQfqBTu/6lJWV0a9fP/r37w+Ar68vvr6+ZGdnM2TIEOHl7+npSffu3bl69SoSiQQvLy8h\nEm9jY4O3tzeg7Rvff/89oP2cam9vj5mZmVE5lZWVmJmZ4evrC2h1rIuk/i/PY4z2+oG9vT23bt3q\nsANsZWVFUlIS9+7d4+zZs5w9e5aFCxcyceJEQkJCOHnyJB9//DEAZmZmBAQEsHPnzh90gG1tbbGz\nswO0Y8fb21sYf1OmTAG0L+G6ujqDVAsTExPu3r1rNAUEtC/h0aNHI5FIkMlkODg4cP/+/VblNBqN\nQVvJ5XIcHR0BmDBhguDo6KPLtdfVXalUMmvWLADOnDnDP//5T0DbN4YMGQLQ7ljXl29hYdGuTdDR\nni3773//y6hRowQnUVefysrKDl2v7wBfuHABZ2dnnJychDZJSkoCtKkkbcnRp7S0lL59+wq68vf3\nJy4uDo1Gw4kTJ/jzn/8s2NQpU6YIE+oJEyaQl5fHyJEj2b9/P+PHjxfaWn8i8kM2++nTpxw7doy7\nd+/y/vvvC9c9fPhQGLc6PDw86NatG9nZ2VRWVnL27FlhzL8ovbZXbujQoYSGhlJdXY1cLucf//iH\n0PbG+q2zszPvv/8+YWFhREZG0qdPHwN5ly5dYsWKFcTExODs7Cz8rtFoOH36NH5+fkilUqRSKWPH\njhW+xLUVAba3tycmJkY4TklJoaGhgZCQEJycnPjTn/7U6nlFfp2IDvAviM6dOwNtOwVqtZrnz58j\nlUoxMzMzOPdjc1ClUkO119TUYG5u3uqcLqJaXV3NrFmzCAgIYNCgQYwcOZJjx461qndLlEqlsHDH\nxsZG+Cz7Q5iYmAgLHfTr4urqikqlory8nK+++oq0tDSKioqM3mfZsmVs3bqVHTt2MHXqVNRqNVZW\nVgbRobq6OiFaoM+AAQMIDQ1lzZo1uLm50atXL86fP8/NmzfJysoSFguamZmxc+dOwQHesWMH58+f\nJy0tTWi/pKQkLl++zPjx45HL5ahUqlYvnZZIpdJWEe0bN260coRA2190C71a6rblMWj1ostNNCan\nc+fOrfqCTu7/8jygdTzq6uoAmDNnTptl9FGr1T+qb2dmZjJ48GA8PDzo3bs3b7/9NhcuXGDBggWE\nhISgVqsN6qlWq1GpVMKx7lxzc7PBffWfp2V76j5rq9Vq5HK5QST/22+/FZye9mhrzLWF/jn9dlGp\nVK1SjcAw4tvc3Mw333zTynloeb8fGus6OlquLVum668tdatz2PVpaQd0v7Vc2KjfP8GwTVvqTCfn\nlVdeMSjTsq66Nm3Zb1QqldBvfH19SUhI4NatW5SWlhIZGQloI+//+te/hGs6YrM1Gg1jx44lJCRE\nOK6urm4VlTx27BgJCQlMnToVhUKBo6MjBw4cMLhPSzk/tV7bK+fq6kpOTg6nT5/mzJkzvPfee4LD\n2V6/vXHjBj169ODixYsGkV/QpltMmTLFINCgo+X7Ql9GexHgr7/+mqFDh2JhYYG1tTUKhYKrV6+K\nDvBLhLgLxC8QNzc3bt++zeXLlwGtYTh//jxvvPHGT3J/uVxOfn4+Go1GWChUWlpqtPzVq1f5zW9+\nw8yZM/Hy8qK4uBho++VkamoqvBx8fHzYvn0727dvb+X86pdrSZ8+fbh3755wrO/0jRs3joSEBBwd\nHVs5ri1fYO7u7kRERJCRkcGNGzdwdHTE3NxceFlUV1czbdo0IVrQkjFjxuDu7k58fDygjfKNGzeO\n/fv3k5ubS25uLvHx8RQWFlJdXc3BgwfJzs4mLi7OIAJ/6tQpAgMD8fPzw9ramtOnT7fZdvq4urpy\n69Ytbt68CcDRo0dZsWIFnp6enDp1SmifkpISampqcHNz63D0/fjx40JurTE57TliP+Z5TE1NBWcl\nMTFR6A8jRoxo9aLWd2o0Gg1VVVVCtKgjNDU1kZycbJD3WFFRIeTAe3t7C6kiTU1N7N27V4iQde/e\nXVgIVFhYaFSGp6cnJSUlgiP/xRdfkJSUJOjl9u3bAJw4cYJp06bR1NT0g/U2pjepVCo44/p/A5w9\ne1ZYFLVnzx5GjBjR6vqioiIhp7ykpETIpQRtlG7v3r2AdhyUlJQAxse6RqMxGLNXrlwxWk6ftmxZ\naWkpb7zxBkOGDKGwsFDIY01PT+fTTz8V8mlBO4Y7YgsHDRpERUUF165dAzDY+aAtOS13u/Hw8ODO\nnTtcv34d0C6wffjwISYmJnh7e5OXl0djYyOg3Unj97//vZAzOnr0aKKiovjjH/9Ip06dePToEQ8f\nPhQi7x1B9/Xm0KFDQt/Kyclh3rx5gOH4OH36NH/4wx8ICAjAxcWFo0ePCu31ovRqrJxarWbz5s1s\n2bIFhULBwoUL6du3r5C3a6zfHjlyRPiqdPLkSZRKpYG8t99+m7Fjx7bZbt7e3hQUFNDU1ERTUxOH\nDh3qUJvv2bOH3bt3A9pJkVKpRC6Xd+hakV8HYgT4BdLR6I61tTXr1q0jNjaWxsZGIWfWwcGBCxcu\ntLqP/rH+38YWwc2ePZu4uDimTp2KSqVizJgx+Pr6CkasJbotyCZNmkT37t1RKBT07NlTMGr6Mm1s\nbHBxcWHy5Mmkp6e3SvfQldUv99FHHxlEORQKBVlZWWg0GiFPS3edn58fqampxMbGtrpnW+3g6OjI\nzJkziYiIYNu2bcTGxhIfH88nn3yCSqVizpw5QlShLf188MEHTJs2jcOHD1NUVNRq6zNPT0/c3d3Z\ntWsXu3fvxtbWloULFwoOYUBAALNmzWLTpk1s27aN7t27M3LkSKHt9Gm5WCo6OpqoqChUKhVWVlas\nXbsWJycnFi9ezJIlS1CpVHTu3Jm4uDgsLS1/cMW3RCKhrq4Oc3NzYfLQo0ePNuXo2r4t3XX0eQCG\nDRvGxo0bAVqlGujXt2W5K1eu8Oqrr/4oJ2LWrFmYmJgwe/ZsJBIJarWa3/72t8JWg2FhYcTGxhIY\nGEhzczPDhg0T8kDDwsKIiYmhS5curVaC67eDs7Mz8+fPZ8GCBYC2Hy9fvpyePXuybNkywsPD0Wg0\nSKVSYSL0Q4vgjOlMoVAQHh7O8uXLkcvlLFmyBHNzc15//XVsbW2Jjo6mtrYWJycnIc9Xtwhu48aN\n3L59W/ikr1QqhVQggMWLFxMdHc3kyZOxtbUVUmDaG+uvvvqqMGY3b96Mra1tm+X69OljYHuM2TIH\nBwcqKiqYPXs2oE1vCA8Pp1OnTgY2xNj1YGjjVq1axcqVKzEzM2Pw4MEGfastOW1dHxkZiYmJCQMH\nDsTU1JROnToxfvx4ampqmDFjBhqNBgcHB4NttiZMmEB2djbLli0DtJMfXeTdmI7bslXe3t5Mnz6d\nefPmIZFIsLKyEiKnHh4epKamsmTJEoKDg1mxYgXTpk2jS5cuKBQKwaF/UXrVTQpalrt79y6BgYFE\nRUURGBiImZkZAwYMYMyYMRw8eLDNfltdXU1MTAzx8fHCotLFixczcOBAYRzm5OQwcOBAg51jdO0W\nEBAgyO3WrRsODg4d2tFo5cqVrF+/XtgO8p133jFYhCzy60fS0NDQsbCRiMgLZN26dcjlckaNGvVz\nV0XkZyAqKorRo0czbNiwVueCgoKIiIgw+IT9MpGXl8fhw4fZtGnTz12VXw2PHz9m69atzJ49G5lM\nxtWrVwkLCxP3hv0JEfutyC8NMQIs8otk3rx5LF26FB8fHyE/WeTl4MqVK5iamrbp/Ipo+Sn27Bb5\nfywtLYWdb3SLqX5J/6To14LYb0V+SYgRYBERERERERERkZcKcRGciIiIiIiIiIjIS4XoAIuIiIiI\niIiIiLxUiA6wiIiIiIiIiIjIS4XoAIuIiIiIiIiIiLxUiA6wiIiIiIiIiIjIS4XoAIuIiIiIiIiI\niLxU/B+tlGeFdAEzvwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xd99a940>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot data\n",
    "\n",
    "# formatter function to format y-axis labels to have a comma at the thousands place \n",
    "def func(x, pos):  \n",
    "   s = '{:0,d}'.format(int(x))\n",
    "   return s\n",
    "\n",
    "y_format = tkr.FuncFormatter(func)  # make formatter\n",
    "\n",
    "plt.subplot(2,2,1)\n",
    "\n",
    "ax10 = dc_violent_crime_homicide_semester_year.plot(kind='line', figsize=(10,6),fontsize=14)\n",
    "ax10.set_xlabel('', size=14)\n",
    "ax10.tick_params(\n",
    "    axis='both',\n",
    "    which='both',      \n",
    "    bottom='off',      \n",
    "    top='off',         \n",
    "    right='off',\n",
    "    left='off',\n",
    "    labelbottom='on')\n",
    "\n",
    "ax10.yaxis.set_major_formatter(y_format)\n",
    "ax10.set_title(\"Homicides\", fontsize = 14)\n",
    "ax10.set_ylim(0,100)\n",
    "ax10.grid(False)\n",
    "\n",
    "plt.subplot(2,2,2)\n",
    "\n",
    "ax11 = dc_violent_crime_sex_semester_year.plot(kind='line', figsize=(10,6), fontsize=14)\n",
    "ax11.set_xlabel('', size=14)\n",
    "ax11.tick_params(\n",
    "    axis='both',\n",
    "    which='both',      \n",
    "    bottom='off',      \n",
    "    top='off',         \n",
    "    right='off',\n",
    "    left='off',\n",
    "    labelbottom='on')\n",
    "\n",
    "ax11.yaxis.set_major_formatter(y_format)\n",
    "ax11.set_title(\"Sex Crimes\", fontsize = 14)\n",
    "ax11.grid(False)\n",
    "ax11.set_ylim(0, 8)\n",
    "plt.yticks(np.arange(0,250,50))\n",
    "\n",
    "plt.subplot(2,2,3)\n",
    "\n",
    "ax12 = dc_violent_crime_assault_semester_year.plot(kind='line', figsize=(10,6), fontsize=14)\n",
    "ax12.set_xlabel('', size=14)\n",
    "ax12.tick_params(\n",
    "    axis='both',\n",
    "    which='both',      \n",
    "    bottom='off',      \n",
    "    top='off',         \n",
    "    right='off',\n",
    "    left='off',\n",
    "    labelbottom='on')\n",
    "\n",
    "ax12.yaxis.set_major_formatter(y_format)\n",
    "ax12.set_title(\"Assaults\", fontsize = 14)\n",
    "ax12.set_ylim(0,1600)\n",
    "ax12.grid(False)\n",
    "\n",
    "plt.subplot(2,2,4)\n",
    "\n",
    "ax13 = dc_violent_crime_burglary_semester_year.plot(kind='line', figsize=(10,6), fontsize=14)\n",
    "ax13.set_xlabel('', size=14)\n",
    "ax13.tick_params(\n",
    "    axis='both',\n",
    "    which='both',      \n",
    "    bottom='off',      \n",
    "    top='off',         \n",
    "    right='off',\n",
    "    left='off',\n",
    "    labelbottom='on')\n",
    "\n",
    "ax13.yaxis.set_major_formatter(y_format)\n",
    "ax13.set_title(\"Burglary\", fontsize = 14)\n",
    "ax13.set_ylim(0,2500)\n",
    "ax13.grid(False)\n",
    "\n",
    "plt.tight_layout()\n",
    "\n",
    "ax13.text(-1.1, -0.4, \"From: chart-it (MikeRAzar.com/chart-it) | Source: http://data.octo.dc.gov/metadata.aspx?id=3\", fontsize=12,\n",
    "        transform=ax13.transAxes)  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# create separate dataframe for homicides in 2015 and before 2015 \n",
    "dc_violent_crime_homicide_monthly_ex_2015 = dc_violent_crime_homicide_semester[dc_violent_crime_homicide_semester.index.year < 2015]\n",
    "dc_violent_crime_homicide_monthly_2015 = dc_violent_crime_homicide_semester[dc_violent_crime_homicide_semester.index.year == 2015]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# max of the rolling 3 month average of homicides in 2015\n",
    "dc_violent_crime_homicide_day = dc_violent_crime_homicide['OFFENSE'].resample('D',how='count')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "36.5"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# mean of the rolling 3 month sum of homicides in 2015\n",
    "pd.rolling_sum(dc_violent_crime_homicide_monthly_2015, 3).mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "50.0"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# max of the rolling 3 month sum of homicides in 2015\n",
    "pd.rolling_sum(dc_violent_crime_homicide_monthly_2015, 3).max()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# create new dataframe with daily homicides up to August 14, 2015 for calculation of \"current\" rolling average monthly homicide rate in plot \n",
    "dc_violent_crime_homicide_day = dc_violent_crime_homicide['OFFENSE'].resample('D',how='count')\n",
    "dc_violent_crime_homicide_day = dc_violent_crime_homicide_day[dc_violent_crime_homicide_day.index.year > 2010]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.patches.FancyArrow at 0xc784a90>"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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tWlSPV1xOqVSiTZs22LNnD4DygOfTTz9Fy5YttY5LT0+HQqGAs7OzwfPoBiKG7heCIGi9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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xd99a518>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot rolling 3 month mean of homicides Jan - Aug for each year\n",
    "\n",
    "ax1 = pd.rolling_mean(dc_violent_crime_homicide_semester, 3).plot(kind='line', figsize=(8,4), fontsize=12)\n",
    "ax1.set_xlabel('')\n",
    "ax1.tick_params(\n",
    "    axis='both',\n",
    "    which='both',      \n",
    "    bottom='off',      \n",
    "    top='off',         \n",
    "    right='off',\n",
    "    left='off',\n",
    "    labelbottom='on')\n",
    "\n",
    "ax1.yaxis.set_major_formatter(y_format)\n",
    "ax1.set_ylim(0,20)\n",
    "\n",
    "ax1.axhline(pd.rolling_mean(dc_violent_crime_homicide_monthly_ex_2015, 3).mean(), xmax=0.88, color='black', linestyle='dashed', linewidth=2)\n",
    "ax1.axhline(pd.rolling_mean(dc_violent_crime_homicide_monthly_2015, 3).mean(), xmin=0.88, xmax = 1, color='blue', linestyle='dashed', linewidth=2)\n",
    "\n",
    "ax1.text(x='2011-03-31',y=18,s='Mean (2011-2014): {:.0f} / month'.\\\n",
    "         format(pd.rolling_mean(dc_violent_crime_homicide_monthly_ex_2015, 3).mean()), fontsize=12)\n",
    "\n",
    "ax1.arrow('2012-03-31', 16.5, 0, -7, head_width=1, head_length=1, fc='k', ec='k')\n",
    "\n",
    "ax1.text(x='2013-01-31',y=13,s='Mean (2015): {:.0f} / month'.\\\n",
    "         format(pd.rolling_mean(dc_violent_crime_homicide_monthly_2015, 3).mean()), fontsize=12)\n",
    "\n",
    "ax1.arrow('2014', 12, 9.5, 0, head_width=1, head_length=1, fc='k', ec='k')\n",
    "\n",
    "ax1.text(x='2014-01-31',y=18,s='Currently: {:.0f} / month'.\\\n",
    "         format((pd.rolling_mean(dc_violent_crime_homicide_day,90) * 30)[-1]), fontsize=12)\n",
    "\n",
    "ax1.arrow('2015', 17, 4.5, 0, head_width=1, head_length=1, fc='k', ec='k')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "7.972222222222222"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# mean of the rolling 3 month sum of homicides before 2015\n",
    "pd.rolling_mean(dc_violent_crime_homicide_monthly_ex_2015, 3).mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "12.166666666666666"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# mean of the rolling 3 month sum of homicides in 2015\n",
    "pd.rolling_mean(dc_violent_crime_homicide_monthly_2015, 3).mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "16.666666666666668"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# max of the rolling 3 month sum of homicides in 2015\n",
    "pd.rolling_mean(dc_violent_crime_homicide_monthly_2015, 3).max()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "START_DATE\n",
       "2012-01-31     5\n",
       "2012-02-29     6\n",
       "2012-03-31     6\n",
       "2012-04-30     9\n",
       "2012-05-31     6\n",
       "2012-06-30     9\n",
       "2012-07-31     8\n",
       "2012-08-31     4\n",
       "2012-09-30   NaN\n",
       "2012-10-31   NaN\n",
       "2012-11-30   NaN\n",
       "2012-12-31   NaN\n",
       "Freq: M, Name: OFFENSE, dtype: float64"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dc_violent_crime_homicide_semester['2012']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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IiMjsUvO1SNApPSUH0IxBKpF5qNVqREVFmbsZREREZheZLM1HfcFVAQfFk4eY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\nP48I4fcvSWjcAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x18465cc0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot rolling 3 month mean of homicides Jan 2011 to July 2015\n",
    "\n",
    "ax1 = pd.rolling_mean(dc_violent_crime_homicide_monthly, 3).plot(kind='line', figsize=(10,6), fontsize=14)\n",
    "ax1.set_xlabel('')\n",
    "ax1.tick_params(\n",
    "    axis='both',\n",
    "    which='both',      \n",
    "    bottom='off',      \n",
    "    top='off',         \n",
    "    right='off',\n",
    "    left='off',\n",
    "    labelbottom='on')\n",
    "\n",
    "ax1.yaxis.set_major_formatter(y_format)\n",
    "ax1.set_ylim(0,20)\n",
    "\n",
    "ax1.axhline(pd.rolling_mean(dc_violent_crime_homicide_monthly_ex_2015, 3).mean(), xmax=0.88, \n",
    "            color='black', linestyle='dashed', linewidth=2)\n",
    "ax1.axhline(pd.rolling_mean(dc_violent_crime_homicide_monthly_2015, 3).mean(), xmin=0.88, xmax = 1, \n",
    "            color='red', linestyle='dashed', linewidth=2)\n",
    "\n",
    "ax1.text(x='2011-03-31',y=18,s='Mean (2011-2014): {:.0f} / month'.\\\n",
    "         format(pd.rolling_mean(dc_violent_crime_homicide_monthly_ex_2015, 3).mean()), fontsize=14)\n",
    "\n",
    "ax1.arrow('2012-03-31', 16.5, 0, -7, head_width=1, head_length=1, fc='k', ec='k')\n",
    "\n",
    "ax1.text(x='2013-01-31',y=13,s='Mean (2015): {:.0f} / month'.\\\n",
    "         format(pd.rolling_mean(dc_violent_crime_homicide_monthly_2015, 3).mean()), fontsize=14)\n",
    "\n",
    "ax1.arrow('2014', 12, 9.5, 0, head_width=1, head_length=1, fc='k', ec='k')\n",
    "\n",
    "ax1.text(x='2014-01-31',y=18,s='Currently: {:.0f} / month'.\\\n",
    "         format((pd.rolling_mean(dc_violent_crime_homicide_day,90) * 30)[-1]), fontsize=14)\n",
    "\n",
    "ax1.arrow('2015', 17.5, 4.5, 0, head_width=1, head_length=1, fc='k', ec='k')\n",
    "ax1.grid(False)\n",
    "\n",
    "ax1.text(0.07, -0.2, \"From: chart-it (MikeRAzar.com/chart-it) | Source: http://data.octo.dc.gov/metadata.aspx?id=3\", fontsize=12,\n",
    "        transform=ax1.transAxes)  \n",
    "\n",
    "ax1.set_ylabel(\"Homicides\", fontsize=14)\n",
    "\n",
    "ax1.spines['bottom'].set_visible(True)\n",
    "ax1.spines['bottom'].set_color('grey')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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iIiIvGBASRx1R53KVjSEZ97+nFc8fTmBxQwDndNlbDGCGQSo5Jq2omEipuscYpBIREXnD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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x183f60b8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot homicides Jan 2011 to July 2015\n",
    "\n",
    "ax1 = dc_violent_crime_homicide_monthly.plot(kind='line', figsize=(10,6), fontsize=14)\n",
    "ax1.set_xlabel('')\n",
    "ax1.tick_params(\n",
    "    axis='both',\n",
    "    which='both',      \n",
    "    bottom='off',      \n",
    "    top='off',         \n",
    "    right='off',\n",
    "    left='off',\n",
    "    labelbottom='on')\n",
    "\n",
    "ax1.yaxis.set_major_formatter(y_format)\n",
    "ax1.set_ylabel(\"Homicides\", fontsize=14)\n",
    "ax1.grid(False)\n",
    "\n",
    "ax1.text(0.07, -0.15, \"From: chart-it (MikeRAzar.com/chart-it) | Source: http://data.octo.dc.gov/metadata.aspx?id=3\", fontsize=12,\n",
    "        transform=ax1.transAxes)\n",
    "\n",
    "ax1.spines['bottom'].set_visible(True)\n",
    "ax1.spines['bottom'].set_color('grey')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x17f3b2b0>"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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J/oFapMjh5vWDhaw9490mWqeBpzroGdKi+tpES1IshKi13jpUSMoJz1rCmIgA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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x17f3b160>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "lst = [dc_violent_crime_homicide_semester_year,\n",
    "      dc_violent_crime_sex_semester_year,\n",
    "      dc_violent_crime_assault_semester_year,\n",
    "      dc_violent_crime_burglary_semester_year]\n",
    "\n",
    "crime = ['Homicide','Sex Crime','Assault','Burglary']\n",
    "\n",
    "count = 0\n",
    "plt.figure(figsize=(10, 6)) \n",
    "\n",
    "def xfunc(x, pos):  \n",
    "   s = '{:d}'.format(int(x))\n",
    "   return s\n",
    "\n",
    "def yfunc(x, pos):  \n",
    "   s = '{:0,d}'.format(int(x))\n",
    "   return s\n",
    "\n",
    "for x in lst:\n",
    "    ax = plt.subplot(2,2 , count + 1)\n",
    "    plt.title('{}'.format(crime[count]), fontsize=12, weight='bold')\n",
    "    count += 1\n",
    "    plt.plot(x.index.year, x)\n",
    "    plt.tight_layout()  \n",
    "    plt.grid(False)\n",
    "    # formatter function to format y-axis labels to have a comma at the thousands place \n",
    "    x_format = tkr.FuncFormatter(xfunc)  # make formatter\n",
    "    y_format = tkr.FuncFormatter(yfunc)  # make formatter\n",
    "    ax.xaxis.set_major_formatter(x_format)\n",
    "    ax.yaxis.set_major_formatter(y_format)\n",
    "    plt.xticks(np.arange(2011, 2016, 1), fontsize=12)\n",
    "    plt.yticks(fontsize=12)\n",
    "    ax.spines['bottom'].set_visible(True)\n",
    "    ax.spines['bottom'].set_visible(True)\n",
    "    ax.spines['bottom'].set_color('grey')\n",
    "    if count < 3:\n",
    "        ax.axes.get_xaxis().set_visible(False)      \n",
    "\n",
    "ax.text(-0.93, -0.3, \"From: chart-it (MikeRAzar.com/chart-it) | Source: http://data.octo.dc.gov/metadata.aspx?id=3\", \n",
    "        fontsize=12, transform=ax.transAxes) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.4.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}