Mutual Fund Trading Impact.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "library('RODBC')\n",
    "library('quantmod')\n",
    "library('PerformanceAnalytics')\n",
    "source(\"/usr/common/config.R\")\n",
    "lcon <- odbcDriverConnect(sprintf(\"Driver={SQL Server};Server=%s;Database=%s;Uid=%s;Pwd=%s;\", ldbserver, ldbname, ldbuser, ldbpassword), case = \"nochange\", believeNRows = TRUE)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [],
   "source": [
    "getSubsequentRets<-function(schemeCode){\n",
    "    newAdditions<-sqlQuery(lcon, sprintf(\"select SYMBOL, PORTFOLIO_DATE, INSTRUMENT_TYPE as ACTION from MF_PORTFOLIO_HISTORY \n",
    "                                            where SCHEME_CODE=%d \n",
    "                                            and (INSTRUMENT_TYPE like '%%addition%%'\n",
    "                                            or INSTRUMENT_TYPE like '%%new%%')\n",
    "                                            and INSTRUMENT = 'equity'\n",
    "                                            order by PORTFOLIO_DATE\", schemeCode))\n",
    "\n",
    "    \n",
    "    exits<-sqlQuery(lcon, sprintf(\"select SYMBOL, PORTFOLIO_DATE, INSTRUMENT_TYPE as ACTION from MF_PORTFOLIO_HISTORY \n",
    "                                            where SCHEME_CODE=%d \n",
    "                                            and INSTRUMENT_TYPE like '%%exit%%'\n",
    "                                            and INSTRUMENT = 'equity'\n",
    "                                            order by PORTFOLIO_DATE\", schemeCode))\n",
    "    \n",
    "    if(length(newAdditions[,1]) > 0){\n",
    "        newAdditions$ACTION<-\"ADD\"\n",
    "    }\n",
    "    \n",
    "    if(length(exits[,1]) > 0){\n",
    "        exits$ACTION<-\"REMOVE\"\n",
    "    }\n",
    "    \n",
    "    actions<-rbind(newAdditions, exits)\n",
    "    \n",
    "    subseqRets<-data.frame(CODE=0, ACTION=\"\", SYMBOL=\"\", PORTFOLIO_DATE=\"\", R10=0.0, R20=0.0, R50=0.0, stringsAsFactors = F)\n",
    "    \n",
    "    if(length(actions[,1]) == 0){\n",
    "        subseqRets<-subseqRets[-1,]\n",
    "        return(subseqRets)\n",
    "    }\n",
    "\n",
    "    #assume that you have the data on the portfolio disclosure date\n",
    "\n",
    "    for(i in 1:length(actions[,1])){\n",
    "        sym<-toString(actions[i,1])\n",
    "        stDate<-as.Date(actions[i,2])\n",
    "        ret50<-sqlQuery(lcon, sprintf(\"select top 50 * from RETURN_SERIES_ALL \n",
    "                                        where symbol='%s' \n",
    "                                        and time_stamp > '%s'\n",
    "                                        order by time_stamp\", sym, stDate))\n",
    "\n",
    "        if(is.na(ret50) || length(ret50) < 2 || length(ret50[,1]) < 50){\n",
    "            #print(sprintf(\"Skipping: %s:%s\", sym, stDate))\n",
    "            next\n",
    "        }\n",
    "\n",
    "        retXts<-xts(ret50$DAILY_RETURN, as.Date(ret50$TIME_STAMP))\n",
    "        c10<-Return.cumulative(head(retXts, 10))\n",
    "        c20<-Return.cumulative(head(retXts, 20))\n",
    "        c50<-Return.cumulative(head(retXts, 50))\n",
    "\n",
    "        subseqRets<-rbind(subseqRets, c(schemeCode, toString(actions[i,3]), sym, toString(stDate), c10, c20, c50))\n",
    "    }\n",
    "\n",
    "    subseqRets<-subseqRets[-1,]\n",
    "    subseqRets$R10<-as.numeric(subseqRets$R10)\n",
    "    subseqRets$R20<-as.numeric(subseqRets$R20)\n",
    "    subseqRets$R50<-as.numeric(subseqRets$R50)\n",
    "    return(subseqRets)\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1] \"no. of selected schemes: 260\"\n"
     ]
    }
   ],
   "source": [
    "portfolioDate<-as.Date(sqlQuery(lcon, \"select max(PORTFOLIO_DATE) from MF_PORTFOLIO_HISTORY\")[[1]])\n",
    "equityPct<-sqlQuery(lcon, sprintf(\"select scheme_code CODE, sum(weightage) WT from MF_PORTFOLIO_HISTORY \n",
    "                                    where INSTRUMENT ='equity'\n",
    "                                    and INSTRUMENT_TYPE = ''\n",
    "                                    and PORTFOLIO_DATE='%s'\n",
    "                                    group by scheme_code\", portfolioDate))\n",
    "\n",
    "equityPct<-equityPct[equityPct$WT > 90,]\n",
    "equityPct$NAME<-NA\n",
    "for(i in 1:length(equityPct[,1])){\n",
    "    equityPct$NAME[i]<-toString(sqlQuery(lcon, sprintf(\"select top 1 scheme_name from MF_NAV_HISTORY\n",
    "                                                where scheme_code=%d\n",
    "                                                order by auto_id desc\", equityPct$CODE[i]))[1,1])\n",
    "}\n",
    "\n",
    "equityPct$NAME<-tolower(equityPct$NAME)\n",
    "equityPct<-equityPct[grepl('direct', equityPct$NAME) \n",
    "                      & grepl('growth', equityPct$NAME) \n",
    "                      & !grepl('bonus', equityPct$NAME) \n",
    "                      & !grepl('index', equityPct$NAME),]\n",
    "\n",
    "print(sprintf(\"no. of selected schemes: %d\", length(equityPct[,1])))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Warning message:\n",
      "“closing unused RODBC handle 6”Warning message:\n",
      "“closing unused RODBC handle 5”"
     ]
    }
   ],
   "source": [
    "rets<-c()\n",
    "for(i in 1:length(equityPct[,1])){\n",
    "    scode<-as.numeric(equityPct$CODE[i])\n",
    "    rets2<-getSubsequentRets(scode)\n",
    "    #cat(sprintf(\"%d:%d;\", scode, length(rets2[,1])))\n",
    "    rets<-rbind(rets,rets2)\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1] \"ADD: 0.49%; 1.81%; 4.88%\"\n",
      "[1] \"REM: -0.01%; 0.90%; 3.27%\"\n"
     ]
    }
   ],
   "source": [
    "addMedian10<-median(rets[rets$ACTION=='ADD', ]$R10)\n",
    "addMedian20<-median(rets[rets$ACTION=='ADD', ]$R20)\n",
    "addMedian50<-median(rets[rets$ACTION=='ADD', ]$R50)\n",
    "\n",
    "remMedian10<-median(rets[rets$ACTION=='REMOVE', ]$R10)\n",
    "remMedian20<-median(rets[rets$ACTION=='REMOVE', ]$R20)\n",
    "remMedian50<-median(rets[rets$ACTION=='REMOVE', ]$R50)\n",
    "\n",
    "print(sprintf(\"ADD: %.2f%%; %.2f%%; %.2f%%\", 100*addMedian10, 100*addMedian20, 100*addMedian50))\n",
    "print(sprintf(\"REM: %.2f%%; %.2f%%; %.2f%%\", 100*remMedian10, 100*remMedian20, 100*remMedian50))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1] \"outliers: \"\n",
      "        CODE ACTION    SYMBOL PORTFOLIO_DATE      R10      R20      R50\n",
      "665   120381    ADD     QUESS     2016-06-30 21.08601 106.2884 98.31767\n",
      "28122 120578    ADD     QUESS     2016-06-30 21.08601 106.2884 98.31767\n",
      "81140 118632    ADD     QUESS     2016-06-30 21.08601 106.2884 98.31767\n",
      "11875 119566    ADD THYROCARE     2016-04-30 12.42015  17.8251 15.79925\n",
      "60176 118935    ADD     QUESS     2016-06-30 21.08601 106.2884 98.31767\n",
      "91011 119646    ADD     QUESS     2016-06-30 21.08601 106.2884 98.31767\n",
      "84166 119589    ADD THYROCARE     2016-04-30 12.42015  17.8251 15.79925\n"
     ]
    },
    {
     "data": {
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pIKCwk7AIBtmSPsfvKTn+zYseOwww57\n5plnYrHYV7/61a997WsXX3zxO++8YxywadOmM888s7a29thjjx3ohxcXF4/sVWFhYbb/gZBV\n7cMuECDsAAC2ZY6t2COPPPK+++67+OKLTzzxxNLS0j322KOoqKimpmbOnDnV1dV+v/+zzz5L\nJBLz58+//PLLc71YDLvWVmUuhQ4EFArldDUAAOSMOSZ2ks4777yGhobf/OY3X/rSl9avX//q\nq68ar2/YsGHbtm2nnnrq8uXLFy1axGlwdpQ5x05sxQIAbM0cEzvDyJEjL7300ksvvVRSPB7f\nvHmzy+UqLy8vKCjI9dKQO+n0rm+eEFuxAABbM1PYted2uyuNO1zA5sJhJZMdwo6tWACAXZlm\nKxboXmurpA7n2DGxAwDYFWEHkzPCjnPsAAAg7GB6xsZr5pY0TOwAADZG2MHkIhFJ8vt3PuUc\nOwCAjRF2MDkj7LzenU/ZigUA2BhhB5OLRFRQIFfb9d1M7AAANkbYweSiUfl8u55yjh0AwMYI\nO5hcJLJrH1ZsxQIAbI2wg8kxsQMAoA1hB5OLRDqHHefYAQDsirCDyUWjnbdiQyGl07lbEAAA\nOUPYweQ6hV0goFRK4XDuFgQAQM4QdjC5cLjDVqzxFRSEHQDAlgg7mFyniyeMr6Ag7AAAtkTY\nweQ6bcUSdgAAGyPsYHKdroo1tmK5MBYAYEuEHUyOrVgAANoQdjC5Tt884fXK6STsAAD2RNjB\n5DpN7BwO+XxsxQIA7Imwg8l1mthJ8vuZ2AEA7Imwg8l1unhCUmEhYQcAsCfCDibX6XYnkvx+\ntmIBAPZE2MHkum7FMrEDANgVYQeT63TxhDjHDgBgX4QdTK7rOXaEHQDArgg7mFy3W7GcYwcA\nsCXCDibHViwAAG0IO5gc97EDAKANYQeT6zqxYysWAGBXhB1MjosnAABoQ9jBzNJpxePyeDq8\nyMQOAGBXhB3MLB5XOt057Hw+JnYAAHsi7GBmsZikbiZ2hB0AwJYIO5hZt2HHOXYAALsi7GBm\n8bgkud0dXuQcOwCAXRF2MLNuJ3Zer6LRnCwHAIDcIuxgZt2Gnc+nSCQnywEAILcIO5gZYQcA\nQDuEHcysp7CLRpVO52RFAADkEGEHM+v24gmfT+k0p9kBAGyIsIOZ9TSxk9iNBQDYEGEHMzPC\nruvEToQdAMCOCDuYWSwmt1sOR4cXCTsAgF0RdjCzeLzzPqwIOwCAfRF2MLNYjLADACCDsIOZ\nEXYAALRD2MHMug07r1cOB2EHALAhwg5mFo93viRWksMhr5ewAwDYEGEHM+t2Yie+VQwAYFOE\nHcyMsAMAoB3CDmZG2AEA0A5hBzMzblDcFWEHALAlwg5m1u0NikXYAQBsirCDmRF2AAC0Q9jB\nzDjHDgCAdgg7mFkv59hFo8O+GgAAcoywg5kxsQMAoB3CDmbGOXYAALRD2MHMmNgBANAOYQcz\nI+wAAGiHsIOZxeM9XjwRDg/7agAAyDHCDmYWjXY/sfN6FYsN+2oAAMgxwg5m1tPFEx4PtzsB\nANgQYQcz6+kcO4+HiR0AwIYIO5hZTzcoJuwAALZE2MHMegk7tmIBAPZD2MHMejrHjosnAAC2\nRNjBzDjHDgCAdgg7mFkvYcdWLADAfgg7mFlP59ixFQsAsCXCDmbWy33sCDsAgP0QdjAztmIB\nAGiHsIOZsRULAEA7hB3MrJet2GRSyeSwLwgAgFwi7GBmvWzFGj8FAMBOCDuYVjKpVKrHrViJ\n0+wAAHZD2MG0jIEcEzsAANoQdjAtwg4AgI4IO5hWPC71EHZsxQIAbImwg2kZA7luz7FjYgcA\nsCVzh11ra+vbb7+9evXqJDe2sCG2YgEA6MgcYffTn/707rvvbv/KmjVrvva1rxUXFx944IHT\npk0rKiq68sorW1pacrVC5EAvYcdWLADAlly5XkC/3HjjjXPnzr3wwguNp5s2bTrooIMaGxv3\n3HPPuXPnut3ut9566/bbb//HP/7x5ptverr9mx7WY5xjx1YsAABtzDGx6+Saa65pbGy89tpr\nP/300z//+c/33XffBx98cNNNN73//vu33HJLrleH4dLLxM7lktNJ2AEA7MYcE7tOXnvttenT\np1933XVO584wdTqd/+///b+HHnroueeeu/baa/v/UalU6oUXXgiFQr0c8+677+7WcjFEegk7\n43W2YgEANmPKsKuvrz/xxBMzVWdwOBz77rvvM888M6CP2rBhw3nnnZdIJHo5Jkof5KdetmIl\neb1M7AAAdmPKsJs2bdr69eu7vr5x48apU6cO6KOqq6s3b97c+zH33HNP5vQ+5JFYTE6nXD38\nO+zxEHYAALsxzTl2a9asufrqq//4xz++8sorp5566ptvvtlpOLd48eKlS5fOmTMnVyvEcIvF\nehzXia1YAIAdmWNiV11dXVNT0+nCiAsuuMAYtqVSqW9961t/+ctffD7fFVdckaM1YtjF4z2e\nYCe2YgEAdmSOsFu7dm08Hq+trV2zZs3aNlu2bDF+mkqlFi5cOG3atD/84Q/Tp0/P7VIxfGKx\n3sKOrVgAgP2YI+wkud3uKVOmTJkypeuPnE7nxx9/PH36dIfDMfwLQ870GXZsxQIAbMY0YdcL\np9M5Y8aMXK8Cwy4e7+0cO7ZiAQD2Y5qLJ4DO2IoFAKAjwg6mRdgBANARYQfT6nMrlnPsAAA2\nQ9jBtHqf2LndO7+aAgAA2yDsYFp9bsUSdgAAmyHsYFq9b8W63ZxjBwCwG8IOpsXEDgCAjgg7\nmFbvXynGxA4AYD+EHUwrFuttK5aJHQDAfgg7mFafV8UysQMA2AxhB9PqfSuWiR0AwH4IO5hW\nn1uxTOwAADZD2MG0olF5vT3+lBsUAwDsh7CDafUZdkzsAAA2Q9jBtKJRvlIMAID2CDuYVu8T\nO86xAwDYD2EH0+IcOwAAOiLsYFqxGBM7AADaI+xgWlw8AQBAR4QdTKvPc+zYigUA2AxhB9Ni\nYgcAQEeEHUyLiR0AAB0RdjAtJnYAAHRE2MG0mNgBANARYQfT6jPsEgmlUsO4IAAAcoywgzkl\nk0om+9iKlRjaAQBshbCDOUWjkvqY2ImwAwDYC2EHc+oz7IyJHddPAADshLCDOTGxAwCgC8IO\n5sTEDgCALgg7mBMTOwAAuiDsYE5M7AAA6IKwgzkxsQMAoAvCDuZkhJ1Rb91iYgcAsB/CDuYU\njcrp3Flv3WJiBwCwH8IO5hSN9jauExM7AIAdEXYwp96/KFaS06mCAiZ2AABbIexgTn2GnSSP\nh4kdAMBWCDuYU8ewSyS0cWOXY9xuwg4AYCuEHcwpFmsfdg88oNmzuxzj8bAVCwCwFcIO5tRx\nYvfqq2po6DK0YysWAGAzhB3MqWPYLV8uSf/6V8djCDsAgM0QdjCndmHX0KD16zVyJGEHALA7\nwg7mFA7L7zcerl4tp1Pf/Kbef7/jMYQdAMBmCDuYU7uw27xZZWXaYw/V1HQ8hrADANgMYQdz\nCofl8xkPGxtVXq6xY/XFFx2P4XYnAACbIexgTpFIZmK3ZYsqKjR2rDZtUjrd7hgmdgAAmyHs\nYE7ttmIzE7toVE1N7Y7hPnYAAJsh7GBO7cIuM7GTOu7GMrEDANgMYQdz6nKOXUWFXC7CDgBg\na4QdzKnLOXZOp8rLCTsAgK0RdjCnLufYSV0ujCXsAAA2Q9jBnNptxW7duivsNm1qdwxhBwCw\nGcIO5tQ2sWtpUSSisjJJGjOGiR0AwNYIO5hT2zl227dL0siREhM7AIDtEXYwp7aJnXHjuhEj\nJCZ2AADbI+xgTm3n2O3YIUklJVK3F09wg2IAgJ0QdjCntq3YpiYVFcntlqSxY7Vli5LJtmOY\n2AEAbIawgwnFYkomjbDbsUOlpTtfHjtWyaS2bGk7zO0m7AAAtkLYwYQiEUmZiZ1xgp2081vF\ndl0/wcQOAGAzhB1MKByWZJxj1z7sRo6U19vuNDvCDgBgM4QdTMgIO79fUnPzzisnDB0ujCXs\nAAA2Q9jBhNqFXVPTzpvYGcaPV3192xPCDgBgM4QdTKjjOXaZiyckVVWptrbtCWEHALAZwg4m\n1MM5diLsAAD2RtjBhMJhFRTI41HH252IsAMA2BthBxOKRIxxnXqf2Hm9ikaHe20AAOQOYQcT\navuiWHW5KraqStu3q7VVkuR285ViAABbIexgQu0mdl23YqW2oZ3xXbGp1LCvDwCA3CDsYEJt\nYRePKxzufB87j0c1NZJknITH0A4AYB+EHUyoLeyamyV1mNg5nZowoWPYcf0EAMA2CDuYUFvY\n7dghqcPETtKkSYQdAMCmCDuYUDjcfmLXNew2bJBE2AEAbIewgwlFo5mwczhUXNzhh4QdAMC2\nCDuYULut2EBALleHH06cSNgBAGyKsIMJRSLGfew63cTOMGmS6uuVSBB2AADbIexgQpGIvF71\nHHaJhOrrZRzDl08AAOyDsIMJtU3sOt2d2FBVJYdDtbVM7AAAtkPYwYTazrFraelmYuf1aswY\n1dQQdgAA2yHsYELtLp7oGnaSJk5UTY3kdMrtZisWAGAfVgi7u++++5VXXsn1KjCM2t3HrutW\nrKSqqnZfF8vEDgBgG1YIu4suuuihhx7K9SowjHq9eEKZiZ0kr5eJHQDAPlx9H5IHnn322d4P\nqKmpyRxz3HHHDf2KkFPtviu2092JDVVV+sc/JDGxAwDYiznC7vjjj+/9gJdeeumll14yHqfT\n6aFfEXKq14snxMQOAGBX5gi7xx577Pvf/35jY+OsWbO+/e1vOxyO9j/90Y9+NGfOnFNPPXUQ\nnxyJRO69995QKNTLMW+++eYgPhlDqN0Nirud2E2erKYmNTVpBBM7AICdmCPsTj311Hnz5l1y\nySV/+ctfXnrppXvvvXfSpEmZn/7oRz/ae++9r7zyykF88tatWx9++OFEItHLMVu2bBnEJ2MI\ntZvY9RR2ktav175M7AAAdmKOsJM0evToxx9//Iknnrj44otnzZr1v//7v9/97nedzt29+KOy\nsvKNN97o/Zh77rnnwgsv3M1fhGzqK+zKylRcrPXrta/HQ9gBAOzDZFfFnnzyyZ988slxxx13\n0UUXHXXUUWvXrs31ipALkYh8vlRKoVD3YSdp8mStXy95vWzFAgDsw2RhJ6m8vPzRRx998skn\nP/nkky9/+ct33nlnrleEYReJyOcLBpVK9Rh21dVav15iYgcAsBPzhZ1h/vz5H3/88fz58y+7\n7LJcrwXDKxZTKiWfr6VFUm8Tu3XrmNgBAOzFNOfYdVVWVvbQQw+dffbZn3766cyZM3O9HAyX\nSERSn2FXXa2lS6VJXBULALARE4ed4eijjz766KNzvQoMo3BYkny+5mZJ3d/HTlJ1tdatk6Zx\nVSwAwEbMuhUL+zJCzedraZHTqcLC7o+qrlZrq7aogrADANgHYQezMULN621pUVGROt6sepcp\nUyRpbWQ8W7EAAPsg7GA2Rqh5PD3dxM5QVKSKCq2LjCPsAAD2QdjBbPoXdpKqq7U2NJatWACA\nfRB2MBsj1Dye1tY+wm7KFK0Pco4dAMBGCDuYTdvErrm5j7CrqlJ9cARbsQAA+yDsYDaxmFwu\nFRT0uRU7frzqgyOY2AEA7IOwg9nEYvJ4JPW5FTt+vBpaipnYAQDsg7CD2bSFXTCoQKC3A8eP\nV2OoMBpJD9PCAADINcIOZtNuYldU1NuB48crndYXoR6+mwIAAMsh7GA2Awk7h0MNoRHDtDAA\nAHKNsIPZ9Hsr1ufTyMJofaRsmBYGAECuEXYwm2i0n2EnqbIs0hAl7AAAdkHYwWxiMXm96sdW\nrKSK0tiWOFuxAAC7IOxgNu3OsetzYldWmmhMEHYAALsg7GA2/b54QlLZiOTWJGEHALALwg5m\nE4/L7Y7HFYv1I+xGpbemRymZHJaVAQCQY4QdzCYWk9cbDErqx1bsyNRWlfHlEwAAmyDsYDbR\nqDye1lZJfU/systF2AEA7IOwg9nEYpmw63tiV6ZGlRN2AACbIOxgNrGYPB5jK7bvc+wqnBH5\nQjviw7AuAAByjrCD2cRi8npbW+VwqLCwj2PLKpyStm7m4gkAgC0QdjCbtq1Yv18FBX0cWz7W\nJalxE2EHALAFwg5m07YV2+cJdpJKy1wuJbY2pod+WQAA5B5hB7NpC7s+T7CT5IF+DPUAACAA\nSURBVPB6Rqhp+zbCDgBgC4QdzGYgEzt5PKXa0dQ05IsCACAfEHYwm7b72PU/7HbsGPJFAQCQ\nDwg7mE0sJo8nFOpf2DkcIxyEHQDALgg7mE1b2PV5rxNDqbNlRwv/ngMAbIG/8GA2AzrHTiot\naCXsAAA2wV94MJuBTuxcwR2tfd3vDgAASyDsYDZtE7t+ht0IV2tTq2uI1wQAQF4g7GA2A7p4\nQip1h3YECTsAgC0QdjCbaHRgW7Ge8I6Qe4jXBABAXiDsYDYD3Iot9UZ2hD1DvCYAAPICYQez\niccHthXri+6IeNN8qRgAwAYIO5jNQC+e8IaTKUcwOMSrAgAgDxB2MJtEQi7XACZ2/pgkvnwC\nAGAHhB1MJZlUOi23u/8XT5QUJkTYAQDsgbCDqcTjktIud/8ndsX+hKTW1iFdFgAAeYGwg6nE\n45LCKW863d+JXaE/7XKmWlqGdl0AAOSDvsPu/vvvb25uHoalAH2LxyUFE16pvxM7eTwBV5Sw\nAwDYQd9h953vfGfMmDFnnHHG888/H4/Hh2FNQI/icUmhuFvq78ROHk+xO0LYAQDsoO+wu+uu\nuw444ICFCxd+/etfnzBhwg9+8IN33303zW3BkBOJhKRg3KOBTOyKC0KEHQDADvoOu4svvnj5\n8uXr1q276aabRo8efccdd8yePXvmzJk333xzTU3NMCwR2GVwEztXmLADANhBfy+emDx58tVX\nX/3hhx+uXLnyqquuCgaD11xzzaRJk4444oj77rtvBzeTwPBoF3Z+f//e4vGUFAQ5TRQAYAcD\nvip22rRphx566BFHHFFQUCDplVdeOf/888eOHfuDH/wgEokMwQqBdoyLJ2Juv18FBf17i8dT\n7AxyuxMAgB24+nlcMBh88cUXFy1a9Oyzz7a0tEg6+OCDTznllGOPPXbZsmW/+c1v7rjjDqfT\nuWDBgqFcLWzPmNjFXP3dh5Xk8RQ7WtmKBQDYQd9h98gjjyxatOiFF14Ih8OSvvKVr5xyyikn\nn3zyhAkTjAP22muv8847b++993788ccJOwwtI+yiBQMIO7e72NG6ibADANhA32H3rW99S9Ih\nhxxi9FxlZWXXY9xu94wZMxoaGrK/QKA946rY6AAndmr5nLADANhA32F3xx13fPOb3+y259pb\ntGhRlpYE9GwQEzuPp1gtbMUCAOyg74snzjzzzLKysm5/1Nraum3btmwvCehZPC6nMxR29Pcm\ndpK83uLUDsIOAGAHfYddRUXFwoULu/3RTTfd9KUvfSnbSwJ6Fo/L7Q6H+30TO0lud3Gab8UD\nANhCj1uxDz30UObx66+/7nJ1PjIajT777LPBYHColgZ0FY/L5QoGBxJ2Hg8TOwCATfQYdmef\nfXbm8b333nvvvfd2e9iJJ56Y/UUBPUkk5HaHQgMMu2RTK/8BAgCwgR7D7m9/+5vx4Pjjj//v\n//7vo446qusxfr//0EMPHaqlAV3F44MIu0CyORYz3jqESwMAIOd6DLvjjjvOeHD00Ud//etf\n/6//+q/hWhLQs7awKy/v91s8nqJEk6TWVo0cOXQrAwAg9/q+3cmLL744DOsA+iUel9s90HPs\nAvEmScEgYQcAsLjur4p1OBwOh+Pzzz/PPO7F8C4Y9haPy+UKheT39/st7SZ2AABYW/cTO+OS\niEAgIOm0004b1hUBvRjUxROBdKskLuAGAFhe92H39NNPZx73dBM7IAfazrEbwA2K3e6Agg4H\nYQcAsL6+b1DcVTKZXLt2bSgUyvpqgD4M6qpYp1I+b5qtWACA5fUr7F555ZVzzz3XOOXuiy++\n2G+//aZOnVpaWnrVVVelUqkhXiHQzqAunpAUKEwzsQMAWF7fYff8888feeSRf/rTn1pbWyVd\nffXVH3744THHHDNjxozbbrvt4YcfHvpFAm3aLp4YaNgVFaYIOwCA5fUddjfffLPb7X7ttdf2\n3nvvaDS6aNGiY4899oUXXnjjjTfGjx9/zz33DMMqgZ0SiZTLE4kMfGLnT7EVCwCwvL7D7uOP\nPz700EMPPfRQp9P59ttvt7S0nHXWWZL8fv8RRxyxatWqoV8k0CYeDxcUpdMDuXjCCDtfkokd\nAMDy+g67ZDJZXFxsPH755ZclHX744cbTVCoVDoeHbnFAZ/F4yFkkDXwr1k/YAQCsr+9vnthz\nzz2XLVsWDAbdbvef/vSnffbZp7KyUlIoFFq2bNmkSZOGfpFAm3g85AhoEGHnS7AVCwCwvL4n\ndhdeeOH27dtnzZo1bdq09evXn3vuuZKeffbZ2bNn19fXn3766UO+RiAjkQgqIA18K9YTZ2IH\nALC8vid23/nOd2pqan7729+2tLScccYZF198saRXXnnl008/Pfnkky+//PKhXyTQJh4POUo0\noImd2y2HI+BNEHYAAMvre2LndDp//vOfb926NRQKPfLIIx6PR9L3vve9DRs2PP7440VFRUO/\nSKBNPB5UwOEYyHfFSvJ4Au4YW7EAAMvre2JncDgcbrc783TPPfccmvUAvYrHQyr0+VRQMJB3\nud1Fnlhw21AtCgCAPNGvsFu0aNETTzyxZcuWbn9qXCoLDId4PJguHMA+rMHjCbiibMUCACyv\n77D74x//eMEFF0gKBAI+n2/olwT0LJEIpf0DuHLC4PEUediKBQBYX99ht2DBgkAg8Nxzz/3H\nf/yHw+EYhjUBPYrHgyn/ICZ2hc5IKDQkKwIAIH/0ffHEmjVrzj777MMPP5yqQ+7F48HUYCZ2\nhQVRwg4AYHl9h11FRUXBwM5UB4ZMPB5K+QY3seMcOwCA5fUddueff/7TTz/d2Ng4DKsB+hCP\nh5LeQUzsAs4wEzsAgOX1fY7dT3/60w0bNhxyyCE/+clPDjzwwLKysk57suXl5UO2PKCjRCKY\nGEzYFTrCiYRiMeN7KAAAsKa+w87oth07dpxzzjndHpBOp7O8KKAniUQo6R3M7U4cIUnBIGEH\nALCyvsMuz78NNh6Pb9u2bfTo0VzbYQvxeDDpHTmoiZ2kUEgjRw7FsgAAyAt9h93dd989DOvo\nUywWu//++999992WlpZ58+adf/75kq644op77rknFouVlJQce+yxd9xxx5gxY3K9UgylRCKU\ncFcO4uKJdFASp9kBAKytv18plk6nN2zY8MUXX0ydOrWioiKdTg/nhKy5ufk//uM/Vq5caTxd\nuHDhsmXLZsyYceedd44bN27GjBnr169/7LHHli9f/vHHH5eWlg7bwjDc4vHgIC6ecLsDCkri\nwlgAgLX1fVWspOXLl8+YMaO6uvrggw/+5z//KWnPPff84Q9/2NLSMsTL2+mGG25YuXLlmWee\n+fbbb69cufLKK6985JFHbrzxxvnz569bt+7ll19evXr1b37zm/r6+htvvHF4loTcSCRCcfdg\nbneSahUTOwCA1fU9sfvkk0+OPvpoh8PxzW9+c9GiRcaLgUBgwYIFzz///BtvvDEME7Lnnntu\n5syZDz74oHFHvdtuu+3vf//7Bx988POf/9zr9UpyOByXXHLJfffd99JLLw3ok5ubm2+99dZk\nMtnLMe+///7uLB7ZlEgEY4MJO08y7HYzsQMAWFzfYXfzzTeHw+EVK1aMGTMmE3bvv//+r3/9\n6yuuuOIXv/jFL3/5yyFepNatW3fKKadk7pPscDj23HPPDz74YM8998wc43A4Zs2a9eSTTw7o\nk6PR6Lp16xKJRC/HcA+/PBKPh2KuQdzuRLFYYSETOwCAxfUddkuWLDnyyCPnzp27fv36zIsO\nh+Pyyy9/4oknnn322WEIu3Hjxn388cftXznttNPGjh1rjOsyvvjii8IBDnMqKioeeeSR3o+5\n55573n333QF9LIbKYCd2CoUIOwCA5fV9jl1TU9PEiRO7/dHkyZPr6uqyvaRuzJ079913321/\nfe4pp5zy29/+tv0x77zzztKlS+fOnTsM60HOJJOhaMGAw87rVSQSCLAVCwCwuL7DbtasWatX\nr+76eiKRWLZs2V577TUEq+rs1ltvLS0tveiiiyoqKr773e92+unzzz9/7rnnHnLIIel0+qqr\nrhqG9SBn4vFQzFVUNMB3sRULALCHvsPuhBNOWL58+fPPP9/+xUgkcuaZZ9bV1X31q18dsrXt\nUlVV9dFHH5133nlFRUUfffRRp58+/vjjf/rTn0aPHr1o0aLDDjtsGNaDXInGnYmkY8Dn2Hm9\nikQKC5nYAQAsru9z7K666qrFixefeOKJhxxyiKTf//73jz766Msvv7xt27Yvf/nL11577dAv\nUpImTJhw3333Sep6ocOll1562WWX7bPPPpmrK2BVwbhH0mDCLhotLFQ4PBSLAgAgX/Q9sXO5\nXC+99NJtt922Zs0aSS+88MLjjz/ucDh+9rOfvf766z6fb+gX2Xk9nV454IAD9t9/f6rODoJJ\nnwYRdj6folHOsQMAWF6/vnnC6/Vefvnll19+eUtLS01Nzbhx40aNGjXUKwO6GmTYtU3sOMcO\nAGBtfYddOp1ubGxcu3btxo0bKysrq6urR/I96siJRCKYLtRgw46JHQDA8noLu23btv3617/+\n7W9/u3379vavl5WVXXbZZZdddtmIESOGeHlAO/F4UAGHQ37/AN/YdvFEQ8OQrAsAgDzRY9g9\n//zzZ5xxRnNzcyAQmDdvXlVV1ejRozdv3lxbW/v2229fd911CxYseOyxx44++ujhXC5sLZEI\nKuDzpAoK+vUdx7v4fGzFAgDsoPuw+/zzz7/xjW/EYrHrr7/+kksu6XRG3bZt2+68887rr79+\n/vz5H3300ZQpU4ZlqbC9RCKoQMCf6s9FPx1wjh0AwB66/wvy5ptvjkajt9xyy7XXXtv1OolR\no0Zdd911N954YzgcvuWWW4Z+kYCktrArTA/4jZxjBwCwh+7D7u9//3txcfGVV17Zyzt//OMf\nBwKBxYsXD83CgC7i8d0JOyZ2AADL6z7sNm7cuO+++zqdvW14FRQU7LfffvX19UOzMKCL3ZnY\nxeMBf4qJHQDA2rpPt2QyOXr06D7fPGbMmGQyme0lAT0YdNj5fJIKPQkmdgAAaxvgSehADhlb\nsUWOAb/R65UU8MSZ2AEArI2wg3kYE7uB3p1YO8OusCAaiSiVyvqyAADIFz3ex+6tt94666yz\nen/zW2+9le31AD0zwm7QEztXNJ1WODzwL64AAMAkegy72trahx9+eDiXAvQhkQgqMG43JnaS\nQiHCDgBgWd2H3YoVK4Z5HUDfjHPsigd+/oDPJyngikoKBlVRkfWVAQCQF7oPu4MOOmiY1wH0\nzdiKHUTYGRM7R1jiVnYAACvj4gmYRyIRVKAwMNhz7JxhSa2tWV8WAAD5grCDeSQSrY7iouKB\nh53LpYICv8IOh8LhIVgYAAD5gbCDeRjn2A3u0gev1xmL+Hx8XSwAwMoIO5jHoO9jp51fFxsI\ncI4dAMDKCDuYRyIRTBcWFQ3qvV6votHCQiZ2AAArI+xgGrFIKi734Cd2kQgTOwCAtRF2MI1g\na1oa7O2FfT4mdgAAyyPsYBpGk+3mOXaEHQDAwgg7mEYw5JC0O+fYsRULALA2wg6m0Rp0aHe2\nYiMRJnYAAGsj7GAaxsSusHBQby4sVCgUCPDNEwAAKyPsYBrBsNPniBYUDOrNgYCCwaIiJnYA\nACsj7GAawbCzqGCw3whWWKhgkIkdAMDaCDuYRjDsDBREBvnmQMAIOyZ2AAALI+xgGq3hgt0K\nu1CIrVgAgLURdjCNYGT3wo6tWACA1RF2MI1g1BVwRTu9mFb6Rt04W7ND6vUOdW3n2DGxAwBY\nGGEH0whGXUXuzmF3i265WTfXqe56Xd/bm7kqFgBgA4QdTKPbid0iLfqxfvx7/X6BFqzV2h7f\nHAhwHzsAgOURdjCNYNRV6I63f6VJTe/r/f/Uf56gE2ZoxgN6oMc3FxYaE7tEQtHOcQgAgEUQ\ndjCNYMzdaSv2Fb3ilXeO5kj6tr59v+5PKtn9m9sunpDYjQUAWBZhB9MIxd2FnkT7V5Zq6WE6\nzCOPpLN01iZtWqIl3b/Z2IotTIuwAwBYF2EH0wjGOofda3ptnuYZj8dozAk64f/0f92/ORBQ\nKmUM/DjNDgBgVYQdTCOU8AQ8u86xSyu9Squ+rC9nXrlUl/5Nf1undd28ORCQFHCExMQOAGBd\nhB1MIxj3FHp3nUJXq9qQQtM0LfPK4Tp8pmbeoTu6eXNhoaRAutXhYGIHALAswg6mEUp4At5d\nW7GrtMojT7Wq2x9zo268S3e9pbc6vzkQkOQIBf1+JnYAAMsi7GAaoYSn0JfKPP1Mn03RFJdc\n7Y85TsedoTPO0TnNau7w5rYLYouLmdgBACyLsINpBJO+gG/XVuwqrfqSvtT1sDt1Z1rps3V2\nWuldrxYWyuHgHsUAAGsj7GAOqZQiSXeniV37E+wySlX6tJ5erMV/0992vep0yucz7lFM2AEA\nrIqwgzmEQkrL0X5i92/9ey/t1e3Be2mv83Te9bq+w9CuuFjNzWzFAgAsjLCDOYRCklTo3xlq\nEUVqVdvtxM5wta7+SB+9rJd3vTRqlLZtY2IHALAwwg7mYFzKanx1hKQN2pBSqtMlse1N1MR5\nmveMntn10siRhB0AwNoIO5iDEXaFhTufbtAGt9xjNbaXtxyrY5/Tc7uejxql7duLi9XSMnTL\nBAAglwg7mIOxFZuZ2NWopkpVBSro5S1f09fWad1n+mznc7ZiAQBWR9jBHIJBOZT2FzqMpzWq\nmaiJvb9lmqZN1dTn9fzO56NGafv2oiImdgAAyyLsYA6hkAqdEYfHbTzdoA2TNKnPdx2pI5dr\n+c4nnGMHALA6wg7mEAyq0BGWa+f3TPQz7OZoztt6e+eTkSO1bRu3OwEAWBhhB3MIhRRQUO6d\nE7v+bMVKmqM5NarZpE3SrnPs2IoFAFgVYQdz2Dmxc7slJZWsU11/JnazNMsv/zt6R+LiCQCA\n9RF2MIdwWIUKGVuxG7Uxrnh/JnYuufbVvjt3Y0eNUiRS7I0xsQMAWBVhB3MIBhVItxoTuxrV\nOOSoUlV/3jhHc3ZO7EaOlFSU3BGJKJEYyrUCAJAjhB3MIRyWXzsvnqhVbYUq/PL3540H6IB/\n6V+SVF4uqTjZJLEbCwCwJsIO5hAKqTC1a2LXz3GdpH20T4MaNmuzRo6Uy1UU3SrCDgBgUYQd\nzCEclj8dMsKuXvUTNKGfb5yu6R55VmqlnE6NGlUU2ixxYSwAwJoIO5hDqDXl186rYutU1/+w\n88gzXdNXaqUklZcXhzaJsAMAWBRhB3MIh9KZ+9jVqa5Slf1/777ad2fYVVQUNjUUFLAVCwCw\nJsIO5hAKpjMXTwxoYidpH+2Tmdg5tjYGAoQdAMCaCDuYw86wc7uTSm7SpgFN7PbRPv/WvyOK\nqKJCW7bw5RMAAKsi7GAOO29Q7HY3qCGhRP+vipW0n/ZLKLFSK1VersbG4mLCDgBgTYQdzCEU\n2nkfuzrVSRrQxG6kRk7V1Hf0jjGxKy5mKxYAYE2EHcwhHHEYE7s61ZWprFCFA3r7bM1+V+8a\nEzu2YgEAVkXYwRxCYUdmYjegKycMB+iAd/SOysq0dSsTOwCAVRF2MIfMxK5BDQPahzXM1uxP\n9Emw1KVotDiQYmIHALAkwg7mEArv2oodRNjtr/0l/au8VlKRN07YAQAsibCDCcTjSiQdxu1O\nBvR9YhklKtlH+ywpWymp2BMl7AAAlkTYwQRCIUkqVEguV61qBxF2ko7SUS8XvSGpyB3lHDsA\ngCURdjCBcFiS/Aqn3a6N2jjosFvhfqe5RMWuMBM7AIAlEXYwgZ0TO2dki3NrVNFBnGMn6TAd\n5pb7tcOdxQUhwg4AYEmEHUzACDu/K16veg3w7sQZPvkO1+FPnVxQ5AiyFQsAsCTCDiZgbMUW\nuuO1qg0oMEIjBvc539F3Hj0l4fA3MLEDAFgSYQcT2DmxcyfqVT+gb4ntZL7mj2gpeGP/Z4NB\npVJZWx4AAHmCsIMJhMPyulNOd0GDGsZr/KA/xyXXBX+tWHT402lPNBjM4gIBAMgLhB1MIBxW\noScht7tWtbszsZN05dN7RDxhXfYbdmMBANZD2MEEQiH53Qm5XLs5sZNU7Cy98tnD9ZMba8ON\n2VoeAAB5wmRh19ra+uGHHzY1NXX7040bN65fv35YF4RhEQ7L7945sRvcTex2KSr63j+mqG7C\nr4t/kaXVAQCQL0wTdqtWrZo3b15JScnee+89atSok08+ub6+vtMx8+fPr66uzsnyMKQyYdeg\nhsHd62SXoqLS8DbHT25aVHH3Oq3L0gIBAMgL5gi7mpqa2bNnv/rqqwcffPDpp58+evToRYsW\nHXTQQTU1NbleGoZDOKxCd7yl1Nms5t0Nu+JiZ2tz4csnVDXPvEt3ZWmBAADkBXOE3dVXX93a\n2vrggw/+85//fPTRRxsaGn7wgx/U1dWdddZZKe5aYQPhsPyueN0ESdr9rVi1tBQV6b/+fekf\n9ceguDgWAGAd5gi7FStWHHrooWeffbbx1Ol03n777SeffPJrr732wAMP5HRpGA7hsPwFsfrx\nabfcozV6tz6rqEitrcXF2vuT0wtU8KgezdIaAQDIPVeuF9Av9fX1Bx98cPtXnE7nnXfeuXjx\n4quvvvob3/jGiBGD/CqCLVu2XHbZZclkspdj1q5dKymdTg/uV2D3GWFXNz41TuOcu/lfIz6f\nIpHiYkWb/Kfr9Ef16AW6IEvLBAAgx8wRdpWVlcuWLUskEi7XrgWPHTv25ptvvuSSS84555yn\nnnrK6RzM3/der3fq1KmJRKKXY5qbmyU5HI5BfD6yIhyW3xmtH5vc3X1YSX6/IpGisWpp0ak6\n9Qgdsfu3UAEAIE+YI+y+8Y1v3H777aeddtqdd945fvyuv4Mvvvji55577plnnrnyyit/8YvB\n3L2ipKTkhhtu6P2Ye+65Z/HixYP4cGTLzrAbHd/dKye0a2LX2qpDdeg4jXtKT31f38/GMgEA\nyDFznGP3s5/9bObMmU8++WRlZeX48eM/++wz43WHw/Hggw8edNBBv/rVr6qqqv7973/ndp0Y\nIqGQ/I5IQ0U8C6M1n0+RSFGRWlrklPMb+sbTejobawQAIPfMEXalpaUrVqy45ZZb9t9//2g0\nGjK+E16SVF5evmTJkp/97Gc+n2/Hjh05XCSGTjgsv8K1FZEsbMW2m9hJOlbHvqbXuDYWAGAN\n5gg7ScXFxVddddW77767devWfffdt/2P/H7/z3/+89ra2rVr1y5ZsiRXK8TQCYfld0TqR4Wz\nFXbGxE7SPM1zyrlMy3Z/kQAA5Jxpwq5PBQUF1dXVRxxxRK4XguwLh+VxtW4pjmRnKzYeLw6k\njImdX/5DdMhicQ4lAMAKrBN2sLBwWInyjSlHOjsXT0hFvoQxsZN0tI7+u/6+ux8LAEAeIOxg\nAuGwIhUNkrIwsfP7JRV7Y5mwO1yH/1v/3qqtu/vJAADkGmEHE4hE1Dp6c1nI75d/dz/L51PH\nsNtX+/rke1Nv7u4nAwCQa4QdTCAUUuvoLZUtJVn4LCPsPNFM2Lnl3l/7E3YAAAsg7GAC4bCa\nK7ZWBgf5xXEd+HySSjyRlhZlviVuruYSdgAACyDskO/SaUUiahrdVBkamYWPawu7VGrnrezU\nFnYppbLw+QAA5A5hh3wXjSqVUlN5y/jIqCx8nN8vqcQVkpTZjZ2ruU1qWq3VWfh8AAByh7BD\nvguHJWnLuNYJkfIsfFxBgVyuYmdQUnPzztcmadIIjfhIH2Xh8wEAyB3CDvluZ9iNiVTGKrLz\niT5fibNV7cJO0nRNJ+wAAGZH2CHfhcPSqG0RX6oyMSY7n+jzBRR0uTqE3SzN+lgfZ+fzAQDI\nEcIO+S4clirrJVUmx2bnE/1+RSLFxR3CbqZmEnYAALMj7JDvgkFpfIM36ihTWXY+0edTJFJS\n0nlit1qrY4pl51cAAJALhB3yXTgsR1Xd+AY5vL7sfGJ3YTdTM+OKf6bPsvMrAADIBcIO+S4U\nkqtq4/iGtDye7Hyiz2dsxWZudyJprMaWqYzrJwAApkbYId+FQiqYVDehTvJ6s/OJbRO79mEn\naZqmcSs7AICpEXbId6GQHJV14xuyH3btt2IlTdXUtVqbnV8BAEAuEHbId6GQ0uMaKuuV3a3Y\nrmE3RVPWaE12fgUAALlA2CHfhcNKjK2vrM/exM7vN8Jux44OL0/VVMIOAGBqhB3yXUsknhjZ\nOL4hqxO7cLi0VE1NHV6eqqkbtTGkUHZ+CwAAw46wQ75rdG+UM5XNiZ3Pp2h01Cht397h5ama\nmlZ6ndZl57cAADDsCDvkuy2eeklZvngiHB45Utu2dXh5jMYEFGA3FgBgXoQd8t1Wb4OnZaQ/\nnOWrYkeN6hx2DjmqVc2FsQAA8yLskO+aChsC28bI4ZDbnZ1PbAu7aFShjifU7aE9mNgBAMyL\nsEO+ay6uL942Rl6vHI7sfKLfb2zFSp1Ps6tW9Xqtz85vAQBg2BF2yHctpXUjtlYoEMjaJ3q9\nxsUTUufd2CpV1ao2a78IAIDhRdgh34VG1Y3cVqbCwqx9os+ncHjECDkcncNuoiZu0Ias/SIA\nAIYXYYd8FymrL9s2IpsTO79fkYjLpZKSzluxkzSpSU3Nau7hnQAA5DXCDvkuVt4wurE0m2Hn\n8ykSkdT1jicTNVFSjWqy9rsAABhGhB3y2jZtS/lCYxoDQxF2Xe9RXKEKv/yEHQDApAg75LU6\n1Umq3OLP8jl2bRO7TmHnkKNKVZxmBwAwKcIOea1e9Yr4KprTWZ7YRaNKpcrLtXVr5x9O1EQu\njAUAmBRhh7xWr3pHQ2Ug3pLliyfSaUWjY8Zo06bOP5ykSWzFAgBMirBDXtuQrEvXVRbGd2R5\nYicpEhkzRl980fmHbMUCAMyLsENe2xBvUMP4ksS2LJ9jp51hx8QOAGAlhB3yWl26XnUTiuPb\nhmJiN3Zs9xO7BjUklczarwMAYLgQdshrdY5a1U0oim4doq3YUEitrR1+4AvHOwAAIABJREFU\nWKWqhBJfqEvxAQCQ9wg75LUvXHWqm1Ac2ZLNrVi/X5LC4bFjJXUe2k3QBElcGAsAMCPCDvkr\nqGCLa7trY5U3tH0oJnajR8vh6HyaXaEKR2mUcf88AADMhbBD/jLGZkVNExQKZTPsPB45nYpE\nPB6NHNn9aXZM7AAAZkTYIX/Vqa4g7SoJj1EwmM2w064vn+jp+gnCDgBgRoQd8led6kpaxxcX\nFigczuY5dpJ8PoXDksaPV0ND5x9WqYqtWACAGRF2yF91qiveMaE4kFIqNUQTu8pK1XVJuAma\nwMQOAGBGhB3yV53qirZXFfsTkrI8sfP7M2FXX9/5h2zFAgBMirBD/qpTnXfLhGJfXJJKSrL5\n0e0mdl3DboImfKEvEkpk8zcCADD0CDvkr3rVuzZVFrmjUrbDzu83zrHraWKXVLJBXU6+AwAg\nvxF2yF91qnM2TCh2R+RwqLg4mx9dWKhQSNKECWppUUtLhx9WqcohB98YCwAwHcIOeSqkUKMa\nVVtVXBBSIKCCgmx+eiCgYFBSZaWkzkM7r7xjNIawAwCYDmGHPGXccCS1oapIrSotzfKnt4Xd\n6NFyu7u5MHaiJhJ2AADTIeyQp2pVW6CCyPqxxY7WLJ9gp11h53Rq3LhuTrMj7AAAZkTYIU/V\nqW68xu/YVlCqHUMXdurh+gnCDgBgRoQd8lStaqtU1diocsdWwg4AgP4g7JCn6lQ3LjkhFNKo\nVGNOwm6DNmT5lwIAMMQIO+SpOtWVh6sklcW/GOqw63rxxCRNalZzk5qy/HsBABhKhB3yVK1q\nS5onSCqLbRy6q2LV88ROEruxAABzIeyQp+pVX7htgtOpEeGNQzqxmzBBmzcrHu/w83KVBxRg\nNxYAYC6EHfJRSKGt2urbUlVaqoKWpix/7YQ6T+xSKW3c2PmQSZq0Tuuy/HsBABhKhB3ykXF3\nYkdDZVmZ1Nw81OfYORzd7MZO1dQ1WpPl3wsAwFAi7JCPjLsTJ2rHDWHYRSJKJCT5fBo5spuw\nm6Ipa7U2y78XAIChRNghHxl3J97eWFBWJjU1acSILP+CQECSwmHjWbfXTzCxAwCYDmGHfFSv\n+kpVbtumshFJRaNDFXa9Xhg7VVPXaV1KqSz/agAAhgxhh3xUr/oJmrB1q8oCEUlDcrsT9R12\nEUUa1JDlXw0AwJAh7JCP6lQ3QRM2btS40pCUm7CbrMkFKmA3FgBgIoQd8pGxFdvQoPFFzZJy\nshXrlbdSlYQdAMBECDvko3rVj0uP37xZY31NcrlUWJjlX+DxyO1Wa6vxrLJSDd3tuHL9BADA\nXAg75J244pu1uahpQjyu8Z7G7I/rDMXFam42HlZWKhTS9u2dD/mSvrRKq4bktwMAMAQIO+Sd\netWnlHJtrJI0rmBz9k+wM5SUtA87qZuh3QzN+FgfD8lvBwBgCBB2yDt1qnPIkawd7/NpZGzT\n/2/vvgOjqPa3gT9b0nvvIZDQQQiQhI4FMDSlie9VigVUQLqgV66C15/KvepVFEQUlSKKoAIC\nAtKRUKQKBERCIKSR3jZls+W8fyyENY2N7O6EzfP5x+yZmTPf3RQfzsw5Y6kROw8PFBUZvvT1\nhYNDLbfZtUf7JCSpobZIAURERObGYEeNTjrS/eCXm+4QFAQUFVlhxE4mQ2Bg7cFOC+1lXLZI\nAURERObGYEeNTgYyghGcmQnLBjsPj6pghzomxgYgwAc+53HeIgUQERGZG4MdNTqGRexu3EBg\noGWeJ2bg7l51KRZ1T4xth3YXcMEiBRAREZkbgx01OmlIC0FIZiaCgyUesQPQHu05f4KIiO4V\nDHbU6BguxWZlISDAwsHOaMQuOLj2EbsO6HAO5yxSABERkbkx2FGjU/U8scBAIDcXvr4WOY3R\nOnYAgoNrH7Hriq5JSCpEoUVqICIiMisGO2pcBEQmMkMQcuMGgoKA3Fz4+FjkTH8dsQsJQVYW\ntNrqe3VCJwUUZ3DGIjUQERGZFYMdNS65yFVD7VUaWlqKwACBggJLBTuj5U4ABAdDr0dWVvW9\nnODUFm1P4qRFaiAiIjIrBjtqXNKRDkCeGQIg0FWFykpLXYqtcY8danv4BICu6MpgR0RE9wQG\nO2pc0pDmDOeyDE+ZDP7yXAAWHLFTqaDXG165usLdncGOiIjubQx21LhUTYn18YFdYQ4AC47Y\nCYGSkqqGuibGGuZPFKGolm1ERESNCYMdNS6GKbFZWfD3B/Lz4eAAFxeLnMmwikrh7emuda1R\n3AVd7GD3G36zSBlERETmw2BHjUsGMkIQkp8PHx8gJ8dSw3UAvLwAID+/qqGuFU8c4NAJnY7h\nmKUqISIiMhMGO2pcUpEaitCbq9fl5VnqBjsAHh5QKFBQUNVQ16VYAN3R/SiOWqoSIiIiM2Gw\no8YlFalhCLsd7Cw3YieXw8PDlBE7AHGIO4qjAsJSxRAREZkDgx01LmlIMwQ7Hx9LPnbCwNvb\neMSursfFAuiO7nnIu4IrFiyGiIjorjHYUSNSiMISlIQi9OY12PR0hIRY8HxeXsYjdiEhKChA\neXktO7ZAC3/482osERE1ckqpCzCJp6en6TsXFvKxnveqVKQCCEf4zaG6jAz07WvB8/11xK5q\njeLIyFr2jUPcMRwbi7EWrIeIiOju3BvB7r333lu+fPmJEycAREREeBgWqjCHtLS0UaNG6XS6\nevbJyckBIATvr7K4VKQ6wtEHPjdvrsvIuJm2LMTLyzjYBQVBLkd6ep3BbhM2WbAYIiKiu3Zv\nBLuJEyc+9dRTQ4cO3blz5wcffDB8+HBz9ezn5/f8889raz773cjBgwfXrl0rk8nMdVKqi2Hm\nhLpCVloKHy89srMtG+y8vZGdXfXKzg5+fvVNjH0Db5ShzBnOFiyJiIjoLtwbwQ6AUql88cUX\nd+7cad5uHRwcnnnmmfr3EUKsXbvWvOelWhmCXV4eAPjoc6DTWXzE7tIl44Z6JsbGIlYP/Smc\n6o3eFiyJiIjoLtxLkye6dOni4uKiUCikLoQsxfDYiVzDE2Ir0gFYPNgZTZ5AvRNj3eDWDu24\nTDERETVm98yIHYDg4GCVSiV1FWRB13G9F3rl5UEuh5cqFe7ucHW14Pn+OnkCQGhoncEOXKaY\niIgavXtpxI5snmHErqAAnp6QZ2UiKMiy5/PxgeG67y31jNiBwY6IiBo9BjtqLPTQX8f15mhe\nUAAvL+DGDYsHu4AAlJSgrKyqof5gF4e4NKSlIc2yVREREf1dDHbUWKQgRQ11S7TMz78V7AID\nLXvKgAAAxhNjDcFOr69993Zo5wUvDtoREVGjxWBHjUUSkuxhH47wggJ4e1sx2GVlVTWEhECj\ngWH2Rk0yyGIQw2BHRESNFoMdNRZXcKU5miuguH0p1hC8LMfJCW5uxsEuNBTAHa7GHsERy1ZF\nRET0dzHYUWNxGZejEAXAMHnCGiN2AAICjIOdhwdcXJBW9010PdHzBE6UoazOPYiIiKTDYEeN\nRRKSWqIlgPx8+PgAWVnWCHaBgcbBDkBoKFJT69y9J3rqoDuBExYvjIiIqOEY7KixSEJSJCIB\nFBTAy7EcFRXWH7EDEBZW34idO9zvw32HcMjihRERETUcgx01Cnrok5FcNWLnJS8CIFWwq2fE\nDkBv9E5AgmWrIiIi+lsY7KhRSEFKBSqq7rHzEvmQyeDra/ETBwQgM9O44Y7Brg/6JCBBB51l\nCyMiImo4BjtqFE7ghAc8mqO5Xo/iYniLPHh4QGn5R941a4Zr14wbQkPruxQL4H7cX4ISPjSW\niIgaIQY7ahR+w28xiJFDXlQEvR6e2lz4+FjjxBERyMiAWl3VYLjHTog6j/CDX1d03Ymd1iiP\niIioIRjsqFH4Db/FIha4+exWH80NeHtb48TNm0OvN774GhYGtRo5OfUdFI/4Hdhh8dqIiIga\niMGOpKeD7hROdUM3AAUFAOBZnmmlEbuQENjb4+rVqobwcADVLs9WF4/4EziRg3rTHxERkdUx\n2JH0LuKiCqoYxADIz4e9PdxKMqwU7BQKhIUZBzs3N3h73yHYxSHOF74bsdHS1RERETUIgx1J\n7xAOhSEsFKEwrHXiVfUfq2je3DjY1dZQnQKKJ/DEaqy2bGFEREQNxGBH0vse3z+CRwxf5+fD\n27vq6RNWERmJ5GTjhubN7zBiB2Acxh3G4Su4Yrm6iIiIGorBjiSWi9wDODAaow0vCwrg7Q3k\nWmtWLICoKFy+bNxwxxE7AF3QpT3af4EvLFgYERFRAzHYkcR+xI8+8OmDPoaXBQXw8gLy8qwX\n7Fq2/BvBDsAMzPgEnxShyFKFERERNRCDHUnsa3z9GB5TQGF4eTPY3bwiaxVRUVCpjB8s1rw5\nUlKgu9OjJcZhnDOcv8SXli2PiIjIZAx2JKVEJB7CoUmYVNWSlwcfdw0qK60X7CIjIZcbD9q1\nbg21+s632TnAYQZmfIAPNNBYtEAiIiITMdiRlD7DZ93R/T7cV9VSUAAvhzIA1gt2jo4ICzMO\nds2awcUFFy7c+dDJmFyM4nVYZ8HyiIiITMZgR5LRQrsWaydionFjfj687FQArHePHYCoKFy5\nPb9VLkfr1iYFO3e4T8TE9/CeBWsjIiIyGYMdSWYf9hWjeARGGDcWFMBbUQS5HB4e1iulxsTY\ndu1MCnYApmLqOZw7hmMWKYyIiKghGOxIMhuwoT/6e+EvCxHn5cFPngdPT8it+MMZFYWkJOMG\n04NdczTvh35crJiIiBoDBjuShg66zdg8CqOMG4uKoFbDH9nWu8HOoEaw69QJ589DY9qkiKfw\n1Lf4tgIVFqmNiIjIZAx2JI3TOJ2DnGEYZtyYkwMAfrobEgS74mJkZ1c1xMSgogLnz5t09CiM\nqkDFLuyyVHlERESmYbAjaRzAgbZo6w9/40ZDsPPVZFrvQbEGNVY88fNDeDhOnDDpaFe49kf/\nLdhiqfKIiIhMw2BH0vgVv/ZF32qNublwc4NDYZZVp8QCcHJCSEi1q7Fdu+LkSVM7GIZhP+En\nPfTmr42IiMhkDHYkAQFxCIdqBrucHPj5WfexE1Vq3GbXrZupI3YAhmJoNrJPwOQDiIiILIDB\njiRwDufykFcz2GVnw9/fsOSJ1YNdjSfGduuGs2dRYdqMiCAEdUXXn/GzRWojIiIyDYMdSeAI\njkQgIgQh1dpvj9hZ+R471D5ip9Xi3DlTOxiAAbux2/yFERERmYzBjiRwAidiEFOzPTcXvr4S\nBbsaI3be3mjRogFXY/uj/zEcK0KR+WsjIiIyDYMdSeAETnRF15rtN0fs8vKsPXkCt1Y8ycoy\nbmvQ/Ine6O0AhwM4YP7aiIiITMNgR9ZWgYpEJNYa7NLSEOynQVkZfH2tXVaLFpDJkJxs3Nal\nC06fNrUDe9j3Rm9ejSUiIgkx2JG1ncVZLbRd0KXmptRUhLkXAZAg2Dk7IzCw2m120dE4fx5q\ntal9PISHGOyIiEhCDHZkbcdxPBKR3qg+71WlQmEhwlzyAUhwKRZAZCSuXDFu6NoVlZWmPjQW\nwEN46CIupiPd/LURERGZgMGOrO00Ttc1XAcg1D4bCgU8PKxdFmoJdj4+CA9vwG12ndHZBz77\nsM/8tREREZmAwY6s7RRO1RXs7O0RoMuAtzfkUvxk1gh2AGJi8NtvpnYgh/wBPLAHe8xcGBER\nkWkY7MiqNNBcwIXO6FxzU2oqQkIgL8iTYHVig6iouwx2APqjP4MdERFJhcGOrCoRiWqo6wp2\nYWFVa9lJoWVLZGej6C8L0cXF4fx5qFSm9tEf/VORegmXzF8eERHRnTDYkVWdxukQhAQgoOam\n5GRERAB5eZIFu1atANR8sJhc3oBBu0hEtkCLXdhl7uKIiIjujMGOrKqumRMAzpxBp04SrU5s\n4O6OgAD8+adxm6sr4uKwqyE5bQAGMNgREZEkGOzIqs7gTK3XYSsrcekSOnUC8vMlC3YAWrWq\nFuwAPPwwdu5sQB8DMGAf9mmgMWdhREREJmCwI+vRQVfXiN3Fi6isxH33VT1WTCKtWlW7FAtg\n0CCcOYPr103t40E8WI7ywzhs5tqIiIjuhMGOrOciLqqgikVszU2nTyM4GH5+QHY2/P2tX9tN\nbdvi/PlqbV27omVLfP21qX14wSsOcdux3cy1ERER3QmDHVnPcRwPRGAwgmtu2r4d/foBAHJy\npAx2nTvjwgVUVFRrHj8eq1c3oJtBGMRgR0RE1sdgR9ZzEidrHa5Tq7FjB4YPB1QqlJVJHOy0\n2poPERs7Fn/+2YBHUAzCoLM4ex0mX74lIiIyBwY7sp4TONEVXWu279kDtRrx8UB2NgAp77Hz\n8UFYGM6cqdbcrBl69mzA1dhoRAchaAd2mLk8IiKiejHYkZVUovJ3/N4N3Wpu+uEHDBwId3cg\nNxeAZOvYGURH1zo0N2YMNm40tQ8ZZEMx9Cf8ZM7CiIiI7oTBjqzkJE6qoe6O7tXaNRps3ozR\nowEAWVlwdYWzs/XLu61HDyQk1GweMgQpKUhMNLWbR/HobuwuQYk5ayMiIqoXgx1Zya/4tT3a\ne6P6c2BPnUJ+PoYMASD1zAmDXr1w7ly1B4sBiIxE69b4+WdTu+mP/vaw50rFRERkTQx2ZCWH\ncKgP+tRsP3wYbdrcWpNYwgfFVomJgZ0djh6tuWXwYOww+a45BzgMwIBN2GTO2oiIiOrFYEfW\nICAO43Bv9K656fBh9Op160VmJgJqeYysVTk6Ijq61mD38MM4dAgqlak9PYbHNmFTOcrNWR4R\nEVHdGOzIGi7gQh7yag12R46gR49bL1JS0KyZNQurXVwcjh2r2dyvH5RK7N1rajfDMEwPPefG\nEhGR1TDYkTXsxd4oRIUjvFp7bi7S0xEdfet1owp2QlRrdnTEoEENWPTEBS5DMfQ7fGfm8oiI\niOrAYEfWsAu7+qN/zfbERCgUaNv21uuUFIRXD38SiItDfj6SkmpuefZZbN6MrCxTe3oCT2zG\n5nzkm7M8IiKiOjDYkcVpoDmAAwMxsOam8+cRGQlHRwCASoW8PEREWLe62rRoAT8/HD9ec8vA\ngWjTBuPHQ6s1qafBGOwDnzVYY+YKiYiIasNgRxZ3BEdKUfoAHqi5KTER7dvfepGSAqBRXIoF\n0KULTpyo2axQYONGnDmDp582qRsllE/j6c/xuZnLIyIiqg2DHVncL/glFrGe8Ky56fx5dOhw\n60VKChwdpV/HzqBbt1qDHYAWLbBtG9aurXVErxYTMfFP/PkzTF4Bj4iI6O9isCOL24qtQzCk\n1k0XL6Jdu1svTp1Chw6QyaxWWH1iYnD6dF0XXLt1Q3w8PvjApJ6aodlTeOp1vC5QfTYGERGR\neTHYkWWlIe0szg7G4JqbcnORm2s0c+KXX/DQQ9asrT69e6O8vNZFTwyeeQZbt6Ky0qTO5mP+\nOZz7Ft+arTwiIqLaMNiRZW3DthCEdEbnmpsuXoRcjlatAAAlJTh6FAMGWLm8Ovn4oFs3bN9e\n1/b+/VFejiNHTOqsGZotwIKpmJqCFLNVSEREVAODHVnWFmwZjMEy1HKB9eJFRETAyQkA8MEH\n8PVF71pWMJbMoEH46aeaq9kZeHoiLg47d5ra2St4pQu69Ef/JNSyigoREZFZMNiRBZWgZA/2\nPIJHat168eKt67AZGfjPf7BoERwcrFneHTz1FP78Ez/8UNf2/v2xZ4+pnckh34zNLdGyG7ot\nwzLeb0dERJbAYEcWtAM77GD3EGq/c+78+Vtrnbz1Flq2xNix1qztzpo1w7RpeOkllJTUuv2B\nB3DqFIqLTe3PFa5bsOUNvDEP8+IRn4Mcs5VKREQEgMGOLGojNg7CIEc41rr17FlERwNFRVi5\nEq+9Bnnj+2lcuBByOaZPr3Vj9+6ws8OvvzagPwUUMzDjDM7kIrcf+qUj3Tx1EhERAWCwI8up\nQMXP+Hk4hte6NSMD2dm47z7g22/h5oZHar9cKzEXF3z7Lb75BiNH4uzZahsdHNC3bz3zK+oU\nich92OcDnwEYwHE7IiIyIwY7spSt2KqFdhiG1br199/h5IRWrYC1a/Hkk7Czs3J5poqLw8GD\nqKhAXByuX6+2cfhwbNwIvR4AcnMxbx5WrKhrusVfuMN9G7a5wGUgBjLbERGRuTDYkaWsxdrh\nGO4K11q3GlYjVuZn48gRjBhh5doaJi4O27ahQwe8/Xa1LcOH48YNHDwItRoPP4xNmzB9uqkL\nF7vDfSd2KqHsh35/4A9TizElNhIRUVPFYEcWkYe8n/HzWNQ5H+LXX9GrF7B1K3x80KOHNWv7\nO2QyzJmDdeug0Rg3BwZizBjMnYvx45GVhYQELF6MBQuQbtq9c97w3o3dUYiKRexqrL7zAXPm\n4B//+FtvgIiImgQGO7KIz/F5AAL6o3+tWzUaJCSgXz9gxw7Ex0OhsHJ5f8fDD0Olqrkk8bvv\norAQ+/bh55/h54dnn0VUFBYtMrVXD3hsxuaFWDgJk57Dcxpo6tv7t9+wfj1Onvxbb4CIiGwf\ngx2ZXyUqP8bHMzBDCWWtO5w8ibIy9Omlx969jehpE/Xz8kJcHHbsqNYcGorLl29NBAHkcrz+\nOlasMHXQDoAMstmYfQAHNmPzSIysRN3PKbtwATIZNm36e++AiIhsHoMdmd9qrFZBNQmT6tph\n3Tr06AGflFPIz29Ez4e9owEDsHfvHfcaPhytWuG//21Y393R/RAOncKpJ/CEDrpa9rhxA/n5\n6NIF1641rGsiImoyGOzIzPKR/ypefRkvu8O9+rYjR9C9e8WNwq+/xtNPAzt3omNHBAVJUebf\n0q8fTp2CSlX/XjIZFizA8uVITm5Y9y3Rchd27cf+yZhcy6MpLlyAUomBAxnsiIioLgx2ZGbT\nMd0Pfi/hpVq2vfwyfvvtjYEJSiXGjAG2b8egQVYv8C507w65HAkJd9xx5EjExmLWrAafoR3a\nbcO2b/DNbMyunu0uXkRkJFq1qgp2u3fjm2+gq210j4iImiYGOzKnRVi0ERtXY7U97Ktvu3AB\nv/66ZPT+d8/Fr/hvvps6F0eP3mPBzskJPXvWvM2uVp98gl9+wfLlDT5JHOK2Ydvn+PxZPPuX\n++2uXkVkJCIikJGBykoAU6fiySexZIlJ3WqgOYET53CuwQUREdG9g8GOzOY9vPcaXluDNV3R\ntZbNBw9+4T131sa+qwJfHnplMZYvR2goevWyepl3Z/RobNhwc0nienXogI8+wrRp+OmnBp+k\nH/rtxd4d2NEbvc/j/M3Wa9cQEYGICOj1SE09cwZ//okRI7Bx4507zEVuLGJjEBON6HfxboML\nIiKiewSDHZmBFtoZmDEf87/FtyMxstZ9TmxOn1r41pIlePK/nbBoEd57DzNnQln7tNnGa/Ro\nZGVh5UqkpSE3t/59J03CwoV47DF8802d+9S13nAsYk/iZBCCohE9BVMykHEz2IWEQKnEtWsb\nN6JrV0ybqk9IQGFhfWWooOqP/gooMpCxFmvnY/73+P6Ob5SIiO5FDHZ0t3L12fGXmn9TsnwX\ndo3G6Fr3ycnB6N0vjIm99vzzwLhxWLAA//oXpkyxcqlm4O+Pd9/FxIkIC4OfH4YMQX5+Pbu/\n+ir+8x+MH49Ro/D119X3feMNeHjgiSdQXl7LsUEI2ozNm7H5EA5FInLmpMSsNl5QKhERgaSk\nX3/FQ/20vad2clao9+ypswA99OMxvgxlv+CXIAQ9jsf/iX9OwRQ+x4yIyCYx2FEDvPIKXF2x\ncuXtlou4GFfWMa8i/Xi0tm9ai1qPSkpCv+5qf23Gp5/fWoj41VcxZw7sa9yHd0+YORMXL+LK\nFRw5gqtXMXnyHXc/dAhyOWbORMuWt6+crliBt9/Gv/+NX3/FS7VNNTEYjMFncGZ1+fLdvSsi\nh0x/Ha+rOkVq/rhy7Bh65Wyyy0rrVbnv4JqUug6fhml7sXcTNnnD29AyH/ODEFR9dotGg4ED\n8corplxlJiKixkvQnXz66acASkpKpC5EYqdPC7lcjBolfH1FQYEQQhwWh72E14gjQarnx4rW\nrcVbb9U86tdfhaeneLhVcmHLbtau2AqOHxcKhTh48HbL0aNi9Ghx40bNfSsrxYIFQqkUH30k\ntm8Xjo7ik0+EEGL/fqFQiJ076z3R77/r5FhVvCRchAcWu8x9/yGZc1lO2z7i7bff7rulVdz6\nZcnzFovFm8SmPJFnOCJX5D4uHncRLofEoWqdJYgEuZDvE/tuN+3YIeztl8mn/LQo8W98DERE\nTYparQaQkJAgdSG1uFeDXWlpaUpKSlFRkV6vt/S5GOwMRowQgwcLtVqEhIgPPxS7xC4X4fKC\nZqLOxUls2iRef1106VLtkGPHhKurePFFoesWK2bPlqRsi3vsMTFo0M2vk5OFs7Pw9xfdugmt\nttbdv/pKODoKmewvn8e0aSIsTKSnC51OHDkiUlJqHLZunfD2FkKUibJFR4Y7FTgpij3it+Ph\noh5eaj8INEtW3FfW0kW4yIW8rWgbLaLthX1b0fa0OJ2bKyZPFi+/LHS62/1NFpNDRWiOyLn5\neuLETzostZNpFDLdli1m+VyIiGwWg5157NmzZ/z48a1atfLw8KgacXR2do6Kipo1a9bZs2ct\ndF4GOyHE5ctCLhcHDgghxOuvi9BZ6x2F41wxV//Z8lMe95fllYmTJ4VMJq5fF+XlIjn56lXx\n5ZfCw0NMnCj033wrHB3F1avSvgVLOXFCyOVi/36h14thw0Tv3iIjQ7i6ii+/rOuI4mKRlPSX\nlrIy0auXCAgQoaECEHK5WLz4r8fMmiXi429+vWdPD5c9wxa9M+9j55f0c1bqVvu2v/F53Oci\nOlojNIfF4Q/Fh4vEoh1iR6Wo1OvFkCGiVSvh4SH+/W+jM4qyTqLT/eL+ElEitNoy37AA97L3\nHz0w1X11dLSw/D+X7laxKD4jztwOpkREVsRgd7f0ev2kSTefT+Xh4dG1a9cBAwaMHDlywIAB\n3bp18/a+efPQ008/ra1jmORuWDDYGQ+hNG4jRoiePYUQQiVUzxdUcvIiAAAckklEQVS/BK3i\nybOLStPyh7nsAYSPjzh2VC8iIsSjjx4OHtVOdgEQnp5iwQKhP3VauLuLhQulfgeWNHGiCA8X\njz0m3NzEuXNCCPHOO8LVVXz1lTD5x6akRCxbJpYuFZk7f1/930ylUnz2mdHmHj3EggWGL7MS\ncxTQ/ur9iJg82dAyZYro36us+kVhIYQQq1YJJyfxxx9i3Trh4CAuX769KUWktBQtu4guZ86s\n+kA2y89HV3opNUXWzN5O/9NPf+djuEsaoflOfDdajH5UPPp/4v8yREatu2WKzGfEM07CCQIK\noXhSPJkiao5wUiNw7/x9I2ooBru7tXjxYgAxMTEHDhzQaDTVtmq12qNHj/bv3x/AokWLzH52\niwS7ggIxfLjw8hI//FDXLjqd2LFDvPWW+PFHUe1Nq4X6F/HLArHgOfHca+K1rWKrSlNYfSej\nU339tfjpJ1FZKYQQorhYjBt3Y3DX70/Nf1G82E108xE+rsI1VIQOFANfE69tE9tSRarhWJVQ\nXdD8OWHFQcUT62anvzdOjPMSXuEifOSKbQEe5ffZXWhun3Zyd/4zzwhPT7Hzg8TljtMdFJpn\nel+6qGiv+WKV2LZN+PqKcePugSGgu1FcLKZNE4MG3c5Ver147TXh6SmcncXTT4vTp2/vnJEh\nPvxQ/Phj7Z/J9OkCEArFF2N2KJXixRfF6dOisrBUODqK7dsNuzzzjGjjdUMrU4o//jC0/Pab\nUCjEzp4LxaBBOp1ITRUZGUIIcfKk8PK6fevjgw+KPn1u/RgIIYTIElmPikcVOpnD1ocf3/nF\naXH62qhuTw7Z0HLckdXatQvFwqfF04+Jx54ST70mXlspVv4iftkldn0nvlskFs0UM58Tz70s\nXv5QfLhGrFkv1q8X678SX60X6w+Kgw0aS9ML/U/ip/aivYtwGSfGzRKzWoqWzsL5VfFqtsiu\n2q1IFL0j3nETbp1F501iU47I2SV29RA93IX7krJ3tQkHRVmZ6SelkhLx449i2zZRXm7urlUq\n8fjjwttbfPWVubsmahQac7CTibrW0WpMunfvnpaWlpSU5OjoWNc+Wq02JiZGpVJdvnzZvGdf\nvnz5Cy+8UFJS4urqap4eL13ChAlQqTBkCP73P3z6KcaPh52dYaNGg+Rk/Ly3YtnK8pTs8nb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dUZOzcePGdevWLVu2rFmzZlLXYnEMdnSv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\nOyIiIiIbwWBHREREZCP+P9rjlbCpvHuIAAAAAElFTkSuQmCC",
      "text/plain": [
       "Plot with title “Additions”"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"outliers: \")\n",
    "print(rets[rets$ACTION=='ADD' & (rets$R10 >= 10 | rets$R20 >= 10 | rets$R50 >= 10), ])\n",
    "\n",
    "den10<-density(rets[rets$ACTION=='ADD' & rets$R10 < 10, ]$R10)\n",
    "den20<-density(rets[rets$ACTION=='ADD' & rets$R20 < 10, ]$R20)\n",
    "den50<-density(rets[rets$ACTION=='ADD' & rets$R50 < 10, ]$R50)\n",
    "\n",
    "plot(range(den10$x, den20$x, den50$x), range(den10$y, den20$y, den50$y), type = \"n\", ylab = \"Density\", xlab=\"Returns\", \n",
    "     main=\"Additions\")\n",
    "\n",
    "lines(den10, col='red')\n",
    "lines(den20, col='blue')\n",
    "lines(den50, col='green')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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GOQjp3EbCwAILJiO9i1trZu3br1008/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\nYII=",
      "text/plain": [
       "Plot with title “Exits”"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "den10<-density(rets[rets$ACTION=='REMOVE' & rets$R10 < 10, ]$R10)\n",
    "den20<-density(rets[rets$ACTION=='REMOVE' & rets$R20 < 10, ]$R20)\n",
    "den50<-density(rets[rets$ACTION=='REMOVE' & rets$R50 < 10, ]$R50)\n",
    "\n",
    "plot(range(den10$x, den20$x, den50$x), range(den10$y, den20$y, den50$y), type = \"n\", ylab = \"Density\", xlab=\"Returns\", \n",
    "     main=\"Exits\")\n",
    "\n",
    "lines(den10, col='red')\n",
    "lines(den20, col='blue')\n",
    "lines(den50, col='green')"
   ]
  }
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