part1_jh3572.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "import pyspark\n",
    "from pyspark.mllib.stat import Statistics\n",
    "from csv import reader\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import re\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "sns.set_style('white')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "# for displaying data\n",
    "pd.set_option(\"display.max_columns\", 30)\n",
    "pd.set_option(\"display.max_rows\", 100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "# read data into RDD\n",
    "data = sc.textFile('./NYPD_Complaint_Data_Historic.csv', 1) \\\n",
    "          .mapPartitions(lambda x: reader(x))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "# get column names\n",
    "header = data.first()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "CMPLNT_NUM=0\n",
    "CMPLNT_FR_DT=1\n",
    "CMPLNT_FR_TM=2\n",
    "CMPLNT_TO_DT=3\n",
    "CMPLNT_TO_TM=4\n",
    "RPT_DT=5\n",
    "KY_CD=6\n",
    "OFNS_DESC=7\n",
    "PD_CD=8\n",
    "PD_DESC=9\n",
    "CRM_ATPT_CPTD_CD=10\n",
    "LAW_CAT_CD=11\n",
    "JURIS_DESC=12\n",
    "BORO_NM=13\n",
    "ADDR_PCT_CD=14\n",
    "LOC_OF_OCCUR_DESC=15\n",
    "PREM_TYP_DESC=16\n",
    "PARKS_NM=17\n",
    "HADEVELOPT=18\n",
    "X_COORD_CD=19\n",
    "Y_COORD_CD=20\n",
    "LATITUDE=21\n",
    "LONGTITUDE=22"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>CMPLNT_NUM</th>\n",
       "      <th>CMPLNT_FR_DT</th>\n",
       "      <th>CMPLNT_FR_TM</th>\n",
       "      <th>CMPLNT_TO_DT</th>\n",
       "      <th>CMPLNT_TO_TM</th>\n",
       "      <th>RPT_DT</th>\n",
       "      <th>KY_CD</th>\n",
       "      <th>OFNS_DESC</th>\n",
       "      <th>PD_CD</th>\n",
       "      <th>PD_DESC</th>\n",
       "      <th>...</th>\n",
       "      <th>ADDR_PCT_CD</th>\n",
       "      <th>LOC_OF_OCCUR_DESC</th>\n",
       "      <th>PREM_TYP_DESC</th>\n",
       "      <th>PARKS_NM</th>\n",
       "      <th>HADEVELOPT</th>\n",
       "      <th>X_COORD_CD</th>\n",
       "      <th>Y_COORD_CD</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "      <th>Lat_Lon</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>101109527</td>\n",
       "      <td>12/31/2015</td>\n",
       "      <td>23:45:00</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>12/31/2015</td>\n",
       "      <td>113</td>\n",
       "      <td>FORGERY</td>\n",
       "      <td>729</td>\n",
       "      <td>FORGERY,ETC.,UNCLASSIFIED-FELO</td>\n",
       "      <td>...</td>\n",
       "      <td>44</td>\n",
       "      <td>INSIDE</td>\n",
       "      <td>BAR/NIGHT CLUB</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>1007314</td>\n",
       "      <td>241257</td>\n",
       "      <td>40.828848333</td>\n",
       "      <td>-73.916661142</td>\n",
       "      <td>(40.828848333, -73.916661142)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>153401121</td>\n",
       "      <td>12/31/2015</td>\n",
       "      <td>23:36:00</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>12/31/2015</td>\n",
       "      <td>101</td>\n",
       "      <td>MURDER &amp; NON-NEGL. MANSLAUGHTER</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>...</td>\n",
       "      <td>103</td>\n",
       "      <td>OUTSIDE</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>1043991</td>\n",
       "      <td>193406</td>\n",
       "      <td>40.697338138</td>\n",
       "      <td>-73.784556739</td>\n",
       "      <td>(40.697338138, -73.784556739)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>569369778</td>\n",
       "      <td>12/31/2015</td>\n",
       "      <td>23:30:00</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>12/31/2015</td>\n",
       "      <td>117</td>\n",
       "      <td>DANGEROUS DRUGS</td>\n",
       "      <td>503</td>\n",
       "      <td>CONTROLLED SUBSTANCE,INTENT TO</td>\n",
       "      <td>...</td>\n",
       "      <td>28</td>\n",
       "      <td></td>\n",
       "      <td>OTHER</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>999463</td>\n",
       "      <td>231690</td>\n",
       "      <td>40.802606608</td>\n",
       "      <td>-73.945051911</td>\n",
       "      <td>(40.802606608, -73.945051911)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>968417082</td>\n",
       "      <td>12/31/2015</td>\n",
       "      <td>23:30:00</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>12/31/2015</td>\n",
       "      <td>344</td>\n",
       "      <td>ASSAULT 3 &amp; RELATED OFFENSES</td>\n",
       "      <td>101</td>\n",
       "      <td>ASSAULT 3</td>\n",
       "      <td>...</td>\n",
       "      <td>105</td>\n",
       "      <td>INSIDE</td>\n",
       "      <td>RESIDENCE-HOUSE</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>1060183</td>\n",
       "      <td>177862</td>\n",
       "      <td>40.654549444</td>\n",
       "      <td>-73.726338791</td>\n",
       "      <td>(40.654549444, -73.726338791)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>641637920</td>\n",
       "      <td>12/31/2015</td>\n",
       "      <td>23:25:00</td>\n",
       "      <td>12/31/2015</td>\n",
       "      <td>23:30:00</td>\n",
       "      <td>12/31/2015</td>\n",
       "      <td>344</td>\n",
       "      <td>ASSAULT 3 &amp; RELATED OFFENSES</td>\n",
       "      <td>101</td>\n",
       "      <td>ASSAULT 3</td>\n",
       "      <td>...</td>\n",
       "      <td>13</td>\n",
       "      <td>FRONT OF</td>\n",
       "      <td>OTHER</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>987606</td>\n",
       "      <td>208148</td>\n",
       "      <td>40.7380024</td>\n",
       "      <td>-73.98789129</td>\n",
       "      <td>(40.7380024, -73.98789129)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>365661343</td>\n",
       "      <td>12/31/2015</td>\n",
       "      <td>23:18:00</td>\n",
       "      <td>12/31/2015</td>\n",
       "      <td>23:25:00</td>\n",
       "      <td>12/31/2015</td>\n",
       "      <td>106</td>\n",
       "      <td>FELONY ASSAULT</td>\n",
       "      <td>109</td>\n",
       "      <td>ASSAULT 2,1,UNCLASSIFIED</td>\n",
       "      <td>...</td>\n",
       "      <td>71</td>\n",
       "      <td>FRONT OF</td>\n",
       "      <td>DRUG STORE</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>996149</td>\n",
       "      <td>181562</td>\n",
       "      <td>40.665022689</td>\n",
       "      <td>-73.957110763</td>\n",
       "      <td>(40.665022689, -73.957110763)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>608231454</td>\n",
       "      <td>12/31/2015</td>\n",
       "      <td>23:15:00</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>12/31/2015</td>\n",
       "      <td>235</td>\n",
       "      <td>DANGEROUS DRUGS</td>\n",
       "      <td>511</td>\n",
       "      <td>CONTROLLED SUBSTANCE, POSSESSI</td>\n",
       "      <td>...</td>\n",
       "      <td>7</td>\n",
       "      <td>OPPOSITE OF</td>\n",
       "      <td>STREET</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>987373</td>\n",
       "      <td>201662</td>\n",
       "      <td>40.720199996</td>\n",
       "      <td>-73.988735082</td>\n",
       "      <td>(40.720199996, -73.988735082)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>265023856</td>\n",
       "      <td>12/31/2015</td>\n",
       "      <td>23:15:00</td>\n",
       "      <td>12/31/2015</td>\n",
       "      <td>23:15:00</td>\n",
       "      <td>12/31/2015</td>\n",
       "      <td>118</td>\n",
       "      <td>DANGEROUS WEAPONS</td>\n",
       "      <td>792</td>\n",
       "      <td>WEAPONS POSSESSION 1 &amp; 2</td>\n",
       "      <td>...</td>\n",
       "      <td>46</td>\n",
       "      <td>FRONT OF</td>\n",
       "      <td>STREET</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>1009041</td>\n",
       "      <td>247401</td>\n",
       "      <td>40.845707148</td>\n",
       "      <td>-73.910398033</td>\n",
       "      <td>(40.845707148, -73.910398033)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>989238731</td>\n",
       "      <td>12/31/2015</td>\n",
       "      <td>23:15:00</td>\n",
       "      <td>12/31/2015</td>\n",
       "      <td>23:30:00</td>\n",
       "      <td>12/31/2015</td>\n",
       "      <td>344</td>\n",
       "      <td>ASSAULT 3 &amp; RELATED OFFENSES</td>\n",
       "      <td>101</td>\n",
       "      <td>ASSAULT 3</td>\n",
       "      <td>...</td>\n",
       "      <td>48</td>\n",
       "      <td>INSIDE</td>\n",
       "      <td>RESIDENCE - APT. HOUSE</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>1014154</td>\n",
       "      <td>251416</td>\n",
       "      <td>40.856711291</td>\n",
       "      <td>-73.891899956</td>\n",
       "      <td>(40.856711291, -73.891899956)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>415095955</td>\n",
       "      <td>12/31/2015</td>\n",
       "      <td>23:10:00</td>\n",
       "      <td>12/31/2015</td>\n",
       "      <td>23:10:00</td>\n",
       "      <td>12/31/2015</td>\n",
       "      <td>341</td>\n",
       "      <td>PETIT LARCENY</td>\n",
       "      <td>338</td>\n",
       "      <td>LARCENY,PETIT FROM BUILDING,UN</td>\n",
       "      <td>...</td>\n",
       "      <td>19</td>\n",
       "      <td>INSIDE</td>\n",
       "      <td>DRUG STORE</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>994327</td>\n",
       "      <td>218211</td>\n",
       "      <td>40.765617688</td>\n",
       "      <td>-73.96362342</td>\n",
       "      <td>(40.765617688, -73.96362342)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>10 rows × 24 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "  CMPLNT_NUM CMPLNT_FR_DT CMPLNT_FR_TM CMPLNT_TO_DT CMPLNT_TO_TM      RPT_DT  \\\n",
       "0  101109527   12/31/2015     23:45:00                            12/31/2015   \n",
       "1  153401121   12/31/2015     23:36:00                            12/31/2015   \n",
       "2  569369778   12/31/2015     23:30:00                            12/31/2015   \n",
       "3  968417082   12/31/2015     23:30:00                            12/31/2015   \n",
       "4  641637920   12/31/2015     23:25:00   12/31/2015     23:30:00  12/31/2015   \n",
       "5  365661343   12/31/2015     23:18:00   12/31/2015     23:25:00  12/31/2015   \n",
       "6  608231454   12/31/2015     23:15:00                            12/31/2015   \n",
       "7  265023856   12/31/2015     23:15:00   12/31/2015     23:15:00  12/31/2015   \n",
       "8  989238731   12/31/2015     23:15:00   12/31/2015     23:30:00  12/31/2015   \n",
       "9  415095955   12/31/2015     23:10:00   12/31/2015     23:10:00  12/31/2015   \n",
       "\n",
       "  KY_CD                        OFNS_DESC PD_CD  \\\n",
       "0   113                          FORGERY   729   \n",
       "1   101  MURDER & NON-NEGL. MANSLAUGHTER         \n",
       "2   117                  DANGEROUS DRUGS   503   \n",
       "3   344     ASSAULT 3 & RELATED OFFENSES   101   \n",
       "4   344     ASSAULT 3 & RELATED OFFENSES   101   \n",
       "5   106                   FELONY ASSAULT   109   \n",
       "6   235                  DANGEROUS DRUGS   511   \n",
       "7   118                DANGEROUS WEAPONS   792   \n",
       "8   344     ASSAULT 3 & RELATED OFFENSES   101   \n",
       "9   341                    PETIT LARCENY   338   \n",
       "\n",
       "                          PD_DESC              ...               ADDR_PCT_CD  \\\n",
       "0  FORGERY,ETC.,UNCLASSIFIED-FELO              ...                        44   \n",
       "1                                              ...                       103   \n",
       "2  CONTROLLED SUBSTANCE,INTENT TO              ...                        28   \n",
       "3                       ASSAULT 3              ...                       105   \n",
       "4                       ASSAULT 3              ...                        13   \n",
       "5        ASSAULT 2,1,UNCLASSIFIED              ...                        71   \n",
       "6  CONTROLLED SUBSTANCE, POSSESSI              ...                         7   \n",
       "7        WEAPONS POSSESSION 1 & 2              ...                        46   \n",
       "8                       ASSAULT 3              ...                        48   \n",
       "9  LARCENY,PETIT FROM BUILDING,UN              ...                        19   \n",
       "\n",
       "  LOC_OF_OCCUR_DESC           PREM_TYP_DESC PARKS_NM HADEVELOPT X_COORD_CD  \\\n",
       "0            INSIDE          BAR/NIGHT CLUB                        1007314   \n",
       "1           OUTSIDE                                                1043991   \n",
       "2                                     OTHER                         999463   \n",
       "3            INSIDE         RESIDENCE-HOUSE                        1060183   \n",
       "4          FRONT OF                   OTHER                         987606   \n",
       "5          FRONT OF              DRUG STORE                         996149   \n",
       "6       OPPOSITE OF                  STREET                         987373   \n",
       "7          FRONT OF                  STREET                        1009041   \n",
       "8            INSIDE  RESIDENCE - APT. HOUSE                        1014154   \n",
       "9            INSIDE              DRUG STORE                         994327   \n",
       "\n",
       "  Y_COORD_CD      Latitude      Longitude                        Lat_Lon  \n",
       "0     241257  40.828848333  -73.916661142  (40.828848333, -73.916661142)  \n",
       "1     193406  40.697338138  -73.784556739  (40.697338138, -73.784556739)  \n",
       "2     231690  40.802606608  -73.945051911  (40.802606608, -73.945051911)  \n",
       "3     177862  40.654549444  -73.726338791  (40.654549444, -73.726338791)  \n",
       "4     208148    40.7380024   -73.98789129     (40.7380024, -73.98789129)  \n",
       "5     181562  40.665022689  -73.957110763  (40.665022689, -73.957110763)  \n",
       "6     201662  40.720199996  -73.988735082  (40.720199996, -73.988735082)  \n",
       "7     247401  40.845707148  -73.910398033  (40.845707148, -73.910398033)  \n",
       "8     251416  40.856711291  -73.891899956  (40.856711291, -73.891899956)  \n",
       "9     218211  40.765617688   -73.96362342   (40.765617688, -73.96362342)  \n",
       "\n",
       "[10 rows x 24 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# remove first line\n",
    "data = data.filter(lambda x: x != header)\n",
    "pd.DataFrame(data.take(10), columns=header)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "5101231"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# number of rows\n",
    "data.count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[0,\n",
       " 655,\n",
       " 48,\n",
       " 1391478,\n",
       " 1387785,\n",
       " 0,\n",
       " 0,\n",
       " 18840,\n",
       " 4574,\n",
       " 4574,\n",
       " 7,\n",
       " 0,\n",
       " 0,\n",
       " 463,\n",
       " 390,\n",
       " 1127128,\n",
       " 33279,\n",
       " 5093632,\n",
       " 4848026,\n",
       " 188146,\n",
       " 188146,\n",
       " 188146,\n",
       " 188146,\n",
       " 188146]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# find number of missing values\n",
    "missing_count = []\n",
    "for i in range(24):\n",
    "    missing_count.append(data.filter(lambda x: len(x[i])==0).count())\n",
    "missing_count"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "## Missing Values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>missing</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>CMPLNT_NUM</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CMPLNT_FR_DT</th>\n",
       "      <td>655</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CMPLNT_FR_TM</th>\n",
       "      <td>48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CMPLNT_TO_DT</th>\n",
       "      <td>1391478</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CMPLNT_TO_TM</th>\n",
       "      <td>1387785</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RPT_DT</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>KY_CD</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>OFNS_DESC</th>\n",
       "      <td>18840</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PD_CD</th>\n",
       "      <td>4574</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PD_DESC</th>\n",
       "      <td>4574</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CRM_ATPT_CPTD_CD</th>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LAW_CAT_CD</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>JURIS_DESC</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BORO_NM</th>\n",
       "      <td>463</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ADDR_PCT_CD</th>\n",
       "      <td>390</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LOC_OF_OCCUR_DESC</th>\n",
       "      <td>1127128</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PREM_TYP_DESC</th>\n",
       "      <td>33279</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PARKS_NM</th>\n",
       "      <td>5093632</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HADEVELOPT</th>\n",
       "      <td>4848026</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>X_COORD_CD</th>\n",
       "      <td>188146</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Y_COORD_CD</th>\n",
       "      <td>188146</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Latitude</th>\n",
       "      <td>188146</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Longitude</th>\n",
       "      <td>188146</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lat_Lon</th>\n",
       "      <td>188146</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   missing\n",
       "CMPLNT_NUM               0\n",
       "CMPLNT_FR_DT           655\n",
       "CMPLNT_FR_TM            48\n",
       "CMPLNT_TO_DT       1391478\n",
       "CMPLNT_TO_TM       1387785\n",
       "RPT_DT                   0\n",
       "KY_CD                    0\n",
       "OFNS_DESC            18840\n",
       "PD_CD                 4574\n",
       "PD_DESC               4574\n",
       "CRM_ATPT_CPTD_CD         7\n",
       "LAW_CAT_CD               0\n",
       "JURIS_DESC               0\n",
       "BORO_NM                463\n",
       "ADDR_PCT_CD            390\n",
       "LOC_OF_OCCUR_DESC  1127128\n",
       "PREM_TYP_DESC        33279\n",
       "PARKS_NM           5093632\n",
       "HADEVELOPT         4848026\n",
       "X_COORD_CD          188146\n",
       "Y_COORD_CD          188146\n",
       "Latitude            188146\n",
       "Longitude           188146\n",
       "Lat_Lon             188146"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "missing = pd.DataFrame(missing_count, columns=['missing'], index=header)\n",
    "missing"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Aggregate by times and periods"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "rpt_by_year = data.filter(lambda x: len(x[RPT_DT])>0) \\\n",
    "              .map(lambda x: x[RPT_DT].split('/')[2]) \\\n",
    "              .countByValue()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "rpt_by_year_df = pd.DataFrame(list(rpt_by_year.items()), columns=['year','count']).sort_values(by='count', ascending=False).sort_values(by='year')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>year</th>\n",
       "      <th>count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2006</td>\n",
       "      <td>539977</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2007</td>\n",
       "      <td>538380</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2008</td>\n",
       "      <td>530034</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2009</td>\n",
       "      <td>513056</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2010</td>\n",
       "      <td>509728</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2011</td>\n",
       "      <td>498576</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2012</td>\n",
       "      <td>504341</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2013</td>\n",
       "      <td>497242</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2014</td>\n",
       "      <td>491319</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2015</td>\n",
       "      <td>478578</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   year   count\n",
       "2  2006  539977\n",
       "6  2007  538380\n",
       "5  2008  530034\n",
       "7  2009  513056\n",
       "8  2010  509728\n",
       "3  2011  498576\n",
       "9  2012  504341\n",
       "1  2013  497242\n",
       "0  2014  491319\n",
       "4  2015  478578"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rpt_by_year_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "rpt_by_year_dfs = [None]*3\n",
    "law_cats = ['FELONY', 'MISDEMEANOR', 'VIOLATION']\n",
    "for i,law_cat in enumerate(law_cats):\n",
    "    agg = data.filter(lambda x: len(x[RPT_DT])>0 and x[LAW_CAT_CD]==law_cat) \\\n",
    "              .map(lambda x: x[RPT_DT].split('/')[2]) \\\n",
    "              .countByValue()\n",
    "    rpt_by_year_dfs[i] = pd.DataFrame(list(agg.items()), columns=['year','count']).sort_values(by='count', ascending=False).sort_values(by='year')\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# only look at years from 2006\n",
    "cmplnt_fr_dt_by_year = data.filter(lambda x: len(x[CMPLNT_FR_DT])>0) \\\n",
    "              .map(lambda x: x[CMPLNT_FR_DT].split('/')[2]) \\\n",
    "              .filter(lambda x: int(x)>=2006) \\\n",
    "              .countByValue()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "cmplnt_fr_dt_by_year_df = pd.DataFrame(list(cmplnt_fr_dt_by_year.items()), columns=['year','count']).sort_values(by='count', ascending=False) \\\n",
    "                          .sort_values(by='year')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "year     object\n",
       "count     int64\n",
       "dtype: object"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rpt_by_year_dfs[2].dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
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d7JGT9erVQ7Vq1XDv3j306NGjSL9CocDOnTvx+eef4+jRo9i7dy8sLCzQsGFDjB07tsjp\nDs961pJ40TX8/f1x8OBBbNiwAb/99ht+/vlnODk5YeTIkRgzZoz2Oc3MzLB161YsX74cly9fxsWL\nF+Hi4oI+ffpg3LhxGDFiBEJCQpCTk6NdpVDcva2srLB7925s3LgRv/76K3777TeYm5ujbdu2CAwM\nRI0aNf7zMxMREelLEA2dqtfTyZMnMX78eAiCAFEUIQgCOnbsiNWrV2vHZGRkoGvXrnj//fd1/jHz\n66+/YvHixYiOjoavry/mz58Pd3d3bf+2bdvwxRdf4PHjx+jcuTNmz56t/R9rtVqNOXPm4IcffoCx\nsTFGjRqFkSNHaufev38fs2bNwpUrV+Dq6oqgoCCeq0xERERERESvlApT8yAqKgpt27bFuXPncO7c\nOZw9exYLFy7UGbNs2bIie0ZjY2MRGBiIvn374tChQ7CxsUFgYKC2/8SJE9iwYQPmz5+P7du34+rV\nq/j444+1/UuXLkVERAR27tyJ4OBgrFu3Dt9//722PzAwEA4ODjh06BB69uyJ8ePHIy4uzkCfAhER\nEREREVHFU2GSB7du3UKtWrVga2sLpVIJpVIJc3NzbX9oaCguXLgAOzs7nXkHDhxA3bp1MWLECHh4\neGDx4sV48OABQkJCAAA7d+5EQEAAWrVqBW9vb8ydOxcHDx5ETk4OsrKycPDgQcycORMqlQrt27fH\n6NGjsWvXLgDA+fPnER0djXnz5qFGjRoYO3YsfH19cfDgwbL7YIiIiIiIiIjKWYVKHlSvXr3YPrVa\njdmzZyM4OBhGRkY6fVevXtUp5GRsbIw6derg8uXLyM/PR3h4uM6+SF9fX+Tm5iIyMhKRkZHQaDTw\n9fXV9jdo0EBbRfnatWvw8vLSbnEo7L9y5UqpPDMRERERERFRZVBhkge3b9/GmTNn0KlTJ3To0AEr\nVqzQHmP06aefwsvLC6+//nqReQkJCXBwcNBps7OzQ3x8PNLT05GTk6PTL5VKYW1tjbi4OCQmJsLa\n2lp79jIAKJVK5OTkIDU1FYmJiUWurVQqER8fX5qPTkRERERERFShVYjTFmJiYpCdnQ2FQoHVq1fj\n/v37WLBgAXJycjBgwADs378f33zzTbFzs7OzIZfLddrkcjnUajWys7O1vxfXn5+fX2wfULDaISsr\n65lzizN06FAA0G57ICIiIiIiIjKksnoPrRDJAxcXF1y4cAGWlpYAAJVKhfz8fHz44Ye4du0aJk6c\nWOwxT0DBUU5Pv8yr1WpYWlrqJAKe7jcxMUFeXl6xfQBgYmIChUKBhw8fFuk3NjYuNparV69Co9Gg\nXbt2ej45ERERERER0b8XGxurs5reUCpE8gCANnFQyMPDAzk5Obh69Sr+/PNPLF68GEDBSoPZs2fj\n6NGj2LRpExwdHYucwJCUlITatWvDxsYGCoUCSUlJ2noKGo0GaWlpsLe3R35+PtLS0pCfnw+JRKKd\na2xsDEtLSzg6OiIqKqrIte3t7Z/9IGI+8h+mQdTkAZo8iBqNtksQBEAmgyCVAVIZBJm04KdUBkil\n//qzIyIiIiIiIjKkCpE8OHv2LD744AOcPn1aW5wwIiICNjY22L9/v87YoUOHYvjw4ejRowcAwMfH\nB5cuXdL2Z2VlISIiAhMnToQgCKhbty7CwsK0RRUvX74MIyMjqFQqiKIImUyGK1euoH79+gAKTnXw\n9vbWXnvz5s1Qq9XaVQxhYWE6BRifVFgf4dSpU9q2/Oxs5MXdhyb2PnJj7yMv9j7yYqORF3MfmsRY\nIL9gawVkRpA5uULm7AaZi3vBT2c3yJzdIXNwhvBUoUgiIiIiIiKislr5XiGSB35+fjAxMcGMGTMQ\nGBiIe/fu4eOPP8aYMWPg7u6uM1YqlUKpVGpf1Pv27YsvvvgCmzdvRps2bbBu3Tq4u7trkwWDBw9G\ncHAwatasCQcHB8ydOxdvvvmmNknxxhtvIDg4GIsWLUJ8fDy2bt2KJUuWAAAaNWoEZ2dnTJs2DePG\njcOPP/6I8PBwbb8+JMbGkFerCVSrCZOn+sTcXOQlxP6TUPg7uZAddh55cQ+AvNy/LyKB1N4ZMpcn\nEgqFyQUnN0iesY2CiIiIiIiIqDRUiOSBmZkZtmzZgkWLFqFfv34wMzPDwIEDMWrUqCJjBUHQ+d3V\n1RVr167FwoULsWHDBtSvXx/r16/X9nft2hUPHjxAcHAwcnNz0alTJ0yZMkXbHxQUhLlz5yIgIAAW\nFhaYNGkS2rdvDwCQSCTYsGEDpk+fjr59+6JKlSpYv349nJycSuW5BSMjGLlWgZFrlSJ9okYDTXLi\nP0mFmGjkxUZDfSMcmT8ehZidpR0rVdr/nVBwLfjp4g6ZU8EKBomZeanESkRERERERK8uQRRFsbyD\neFkULhd5ctuCIYiiiPy0FO32h6dXLuQ/+qfIo8TS6u/Ewt+rFVzc/kksWNkUScYQERERERFR5VFW\n76EVYuUBlYwgCJDaKCG1UUJRx7dIf/6jdOTFFa5WKKy1EI3sayHIT0n65zomZv+sVniq1oJU6QDh\n7yKSRERERERE9Gpj8uAlJLGwhNyiDuS16hTpy8/OQl7cA+02iIItEfeRefp7aJLigfz8goFG8mIK\nOLrDyMUdUnsnCGVwFAgRERERERFVDHwDLGVZuRr8mfAIVWxMYWxU8Y5flBibQF6tZkERx6eIuWrk\nxcdotz8UrlzIDjmLvPgYIC/v74tIIXN0Llq80cUdUkcXSBQs4EhERERERPQyYfKglKVkqjFkewgE\nAM5WxqiuNENVW1NUV5qhuq0pqirNYG1SMY9dFIzkMHKrBiO3akX6RI0GmqT4goRC3H1trYWc3y/j\n8clvIObkaMdK7Rx1j5osrLXg7AaJKQs4EhERERERVTZMHpQyZ0sTrBrcAHeSH+NOSibuJD/G6agk\n7A2NRmFlShtTI1SzNUM1W1NUU5qhutIU1WxN4WhpDEkFLWAoSKWQObpA5ugCoLFOnyiKyE9N1q5U\nyIuNRm5sNNS3byLz3I8QHz/SjpVY2fxzMoTLE4Ucnd0hsbRiAUciIiIiIqIKiMmDUiYRAB9XK/i4\nWum05+RpcC8lC3dSHuNOciZupzzG9dh0HI2IQ05eQZ0BYyMJqto8mVAwQzWlKarYmMJIWnGLFwqC\nAKmtHaS2dlB4+xXp1zx6+ERi4e+TIWKikX35IvLTkv+5jqnZP0dNalcuFCQWpLZ2LOBIRERERERU\nTpg8KCMKmRS1HMxRy0F32b4mX0RsejbupjzG7eRM7YqF324n42F2QY0BqSDA1doY1ZRPrFb4+6e5\nouL/CaUWVpB6WkHh6V2kLz/zcUEBx78TCnmxBf9/ZmR4QQHHv08SFRQKSJ1cYeTsDqmzG4yc3bXH\nTkodnCBIK/7nQEREREREVFnxjaucSSUC3KxN4GZtgmY1/mkXRRGpmbk6KxXuJGfi+8h4xKX/U1/A\nzkyuTSpUVxasVKhmawZ7c3ml2AIgMTWDvMZrkNd4rUifqM5BXlyMzrGTebH3kX3hNDLiYwCNpmBg\n4ZaKp4o3ypzdIXNygWAkL+OnIiIiIiIierkweVBBCYIAWzM5bM3kqO9uo9OXpdbgbmombj9RVyEs\nOg1fX4tBXn7BN/VmcukTKxVMUd3WDFWVpnCzNoGskiz/F+QKGFWpDqMq1Yv0iZo8aBLitAmF3Nho\naGLvIzs8FJrv/wdR/XeCRRC0BRzlHipYDnwLEnOLMn4SIiIiIiKiyo3Jg0rIRC6FytECKkfdl+C8\n/Hw8SMvWbn0oTC78fDMRj9UF39LLJALcbUz/Xqlg+k+CwdYMJvKKd7TkswhSmXaVwdPE/HxoUpIK\ntkI8cexkxvdfI/PXH6H8cAEUteuVQ9RERERERESVE5MHLxGZRIKqtqaoamuKVk+0i6KIpMfqgmRC\ncqZ2K8S312ORmKHWjnO0UOhsfShcsWBjalQptkAUEiQSyOwcILNzAOo20LbnxccgedlMJHw0BlZD\n34ZFvwAI0sqTMCEiIiKil9OwYcMQEhKi0yYIAkxNTVGtWjUEBASgZ8+eAIC2bdsiJiZGZ6xcLoeT\nkxM6d+6M8ePHQy6XIygoCIcPH37ufRs1aoQdO3boFePhw4cRFBRU5L52dnZo3rw5AgMD4ejoCAC4\nePEihg8f/tzrCYKAU6dOwcXFRa/7U/lj8uAVIAgC7M0VsDdXoFFVW52+jJw83P17lcLt5Me4m5KJ\nX/9KwYFLD6D5u1ihpbEM1WwLToCo+vfPakozOFsaQyqpPEkFmaMLHJZtQvqezXi4cyOyr1yE7Qfz\nCpIMRERERETlqE6dOpgzZ472d41Gg9jYWGzfvh0fffQRrK2t0bJlSwBA69atMW7cOO3YnJwcXLhw\nAevXr8eDBw+wYsUKjBs3DoMGDdKOWb9+PSIiIrB+/Xptm5mZWYliFAQB69atg729PQAgMzMTUVFR\n+Oyzz3Dy5Ens27cP7u7u8PLywv79+7Xzrl+/jvnz5yM4OBh16tTRthdehyoHJg9eceYKGbycLeHl\nbKnTnqvJR3RqFu4kP9YWa/wjIQMnIuORnVtwtKRCJkEVm4KVDk9ugahiYwpjo4r5jb4glcFq2LtQ\n+PgjZfksxE8YBNvJc2DSqEV5h0ZERERErzBzc3PUq6e7tdbPzw8tW7ZE06ZNcfjwYW3ywMbGpshY\nf39/xMbGalcIuLu7w93dXdtva2sLuVxeZF5J1a5dW2e1QJMmTdCmTRv06dMHc+bMwZYtW2BmZqZz\nn+zsbACAh4fHf74/lR8mD6hYRlIJatiZoYadbjYyXxSR8ChHp1jj7eRMXIpORUpmLgBAAOBiZax7\nCsTfR0tamRiVw9MUZVyvIRzX7kXK6nlImjsZ5j0GwHrURAhyRXmHRkRERESkJZfLIZfLIdGj6Lm3\ntze++uorxMTEwM7OrgyiK+Dq6ooBAwZg8+bNiI6O1kla0MuDyQMqEYkgwMnSGE6WxmhaXanTl5aV\ni7vFFGvcExoN8e8xtqZGOlsfCpMLDhYKSMq4roLUyhp2s1Yg48gBpH2+CjnXL0H50aJiT3cgIiIi\nIjIkURShKTyKHAXbFu7fv4/169cjMzNTW/Pgef766y8AQJUqVQwW57M0a9YMmzZtQlhYGJMHLykm\nD6jUWJsYwdrNGj5u1jrt2bka3EvN1FmpEB6Tju+ux0GtKdgCYWIkRVVbU52jJaspzeBuYwIjqeGO\nlhQEARbd34TCyw/JS6cj/r1hsH57Csw6vlGpikQSERERvcryYu8j/3FGeYcBiZl5saeB6SMkJARe\nXl46bYIgwNPTE2vWrEGrVq10+p5MNCQnJ+OXX37Bvn370LVrV1hb6/57vCwUrnRISkoq83tT2WDy\ngAzO2EiK1xws8JqD7tGSmnwRsenZ2oTC3ZSCn7/eTkZ6dh4AQCoIcLU2+btYY8EqhepKM1S1NYW5\novT+4yuvXguOq3YgbdMnSF2zANmXL8B2/HRIzC1ePJmIiIiIyo3mYRpix/YB8vPLOxRAIoXLrhOQ\nWpX85d3Lywvz58+HKIpISEjAypUrkZeXh1WrVqFatWo6Yw8fPlzkJAWZTIZOnTohODj4vzzBf8Yv\n4F5eTB5QuZFKBLhZm8DN2gTNPf5pF0URqZm52kKNhUdLnrgRj/hHOdpx9uZy7ZGS2qMllWawM5P/\nq//SkhibwHbiDBjXb4yUNQsRN2EwlB8ugKKOT2k8LhEREREZgNTKGs6bvqowKw/+TeIAKDj5oPAk\nAi8vL9SrVw89e/bEyJEjcfjwYZ3VBG3atMGECRMgiiIEQYCxsTHc3Nwgl8tL5Tn+jbi4OACAk5NT\nucVAhsXkAVU4giDA1kwOWzM5Grjb6PRlqguPlvxnpULovVR8dTUGmvyCygpmcmmxxRpdrY0h06PQ\njGnz9pC/5oXkj2ciYepYWA0ZC4v+IyBIK+YJEkRERESvun+7VaAiUyqVmD17NiZNmoQFCxZg+fLl\n2j5ra2udIw8rgnPnzkEikaBhw4blHQoZCJMHVKmYymWo7WSJ2k66R0vmafJx/2EW7iZnPrFioaBg\n42N1wX4wKxMjzOykQutaLz5PVubgDIclnyF9z+d4uOtTZF+5CNsp8yGzczDIcxERERERPa1Tp05o\n0aIFjhwPvAlfAAAgAElEQVQ5goEDB1bYF/O4uDgcPHgQbdq0gaOjY3mHQwbC5AG9FGRSScHWBVsz\ntMI/yQFRFJGYocadlMc4cOk+Pvw6HAMbuGFCy5qQy56/CkGQymA17B0ofBoiZflsxI8fBNv3ZsOk\nSavnziMiIiIiKi3Tp09Hjx49sGDBAnz11VflGosoioiIiEBiYiIAICsrC5GRkdi+fTtMTU0xa9as\n586lyo3JA3qpCYIABwsFHCwU8K9ig/2X72P1z1G4cv8hFvXwgruN6QuvYVyvIRzX7UHq6vlImv8B\nzLu/Ceu3JkGQK8rgCYiIiIjoVfCsml3Vq1fH8OHDsXXrVuzduxeCIPzrooT/tZihIAiYMGGC9ncj\nIyO4uLigU6dOGDNmDJRK5XPnUuUmiEwBlZp27doBAE6dOlXOkdDz3IhLx/Rvf0dqphrTO6nQUaXf\n0ipRFJFx5ADSPl8FI7eqUH60CEZVqhs4WiIiIiIiomcrq/dQrjygV05tJ0vsHO6PRd9HYsa3vyP0\nbireb1sLxkbPL4goCAIsur8JhZcfkpfNQPx7Q2H99ocw6/gGM6lEREREVOmo1WrcuHHjheOcnJxY\ny4CYPKBXk7lChoXdveBfxQYrfryJ8JiHWNzTG9WUZi+cK69eC44rdyDt80+QumYBsi/9BtsJMyAx\ntyiDyImIiIiISkdiYiIGDBjwwi/CAgMDMX78+DKKiioqblsoRdy2UDlFJWYg6JvriHuUjWntPdHN\n21nvuZlnTyJlzUJITM2g/GghFHV8DBgpERERERGRrrJ6D33xofdEL7ma9ubYMcwf7T0dMOfYDcw5\nGoFMdZ5ec02bt4fTuj2Q2jsiYepYPPzyc4gajYEjJiIiIiIiKltMHhABMJFLEdylDuZ0qY1TfyYg\nYGcoohIz9Jorc3CGw5LPYDlgFNJ3b0LijHeRlxRv4IiJiIiIiIjKDpMHRE/o5u2MncP8IZMIGLEr\nFIevPtDrTFpBKoPV0Ldhv2gj8mLuI378YGSd/9nwARMREREREZUBJg+InlJNaYatQxuim5cTFn3/\nB2Z+9zsycvTbxmBctwEc1+2BwtsPSQumIHXjMojqHANHTEREREREZFhMHhAVw9hIiqCOKizs4YVz\nfyVj2I4Q3IhL12uu1NIayhkfw2bcNGSc+BrxkwOQe+8vA0dMRERERERkOEweED1HR5Ujdg33h4VC\nhrf2hGHfpWj9tjEIAsy79YPjqh0Q8/MR/94wZBz7Sq+5REREREREFQ2TB0Qv4GZjis8HN0BfX1cs\nP3UTH30djvTsXL3myqvVhOPKHTBt2w2p6xYhefE05D/SbwUDERERERFRRSGI/Cq01JTV+ZpUfn6+\nmYh5x27AXCHDwh5eqOtipffczHOnkLJ6ASSmZlB+tACKOr4GjJSIiIiIKqPw8HDs3LkTISEhSElJ\ngYODA5o2bYqxY8fCzc0NADBs2DCEhITAz88Pe/fuLfY6kydPxrFjx9C7d28sXrwYANC2bVvExMTo\njJPL5XByckLnzp0xfvx4yOVy7T0EQcCOHTueGevatWuxfv16BAUFISAgoEj/tGnTcPHiRfz44484\nfPgwgoKCnvvsgiDgxo0bzx3zJJVK9cw+U1NTXLp06ZnjpFIpLCws4OXlhUmTJqFevXp63xco+llK\nJBKYmZmhVq1aGDBgAN544w1tX+Hf63me/DuVVFm9h8oMenWil0zrWvbwdDDHjO9+x5i9lxDYogaG\n+FeBRBBeONe0WTvIa3kheflMJEwdC8vBY2H55kgIUmkZRE5EREREFd3u3buxePFiNG7cGFOmTIGD\ngwPu3LmDzz//HCdOnMCOHTvg6ekJoODl9+rVq4iPj4ejo6POdbKysvDzzz9DKObfqK1bt8a4ceO0\nv+fk5ODChQtYv349Hjx4gBUrVugdb+H1V61ahbZt28Ld3b1If+GY1q1bY//+/dq+n376CZ9++inW\nrVsHe3t7ve/5tDfffBP9+vUr0i6RSJ47Tq1W4+bNm9i4cSPeeustHD9+HEqlskT3fvKzzMvLQ0pK\nCo4dO4apU6ciMjISU6dOBQDMmTMHjx8/1s6bM2eOzk8AsLGxKdG9ywOTB0Ql5Gxlgk0D62Pj2b+w\n5pdbCL2Xhjlda8PGVP7CuTIHJzgs/hTpX25B+p5NyLl6EbZT5kNm5/jCuURERET08goLC8OiRYsw\nbNgwTJs2Tdvu7++Pdu3aoXfv3pg+fToOHToEAKhTpw6ioqJw/PjxIt/6//TTTzAxMYGVVdFVsjY2\nNkW+Zff390dsbKx2dYCdnV2JYpfL5Zg+fTp27tz5zDE2NjY6L8i3bt0CANSuXRsuLi4lut+THBwc\n9Fo1UNy4hg0bws3NDWPGjMH333+PQYMGlejexX2W7du3h729PbZt24aOHTvCz88PHh4eOmPMzMwg\nCEKJVzuUN9Y8IPoXZFIJJrSqiVV9fRARl44h2y/iUnSqXnMFqQxWQ96G/eJPkRf7APHjByPz/M+G\nDZiIiIiIKrQtW7bA0tISkydPLtJna2uLoKAgtG/fHllZWQAAExMTtGrVCsePHy8y/ujRo+jcuXOR\nb9+fx9vbG6IoFtnW8CKCIGDatGkICQl5bvKgorKwsACAYldp/FuF2z++/PLLUrtmRcDkAdF/0KyG\nErsDGsHN2hTv7ruMLedvQ5OvXxkRY+/6cFy3Bwrv+kheMAWpG5YiPyfbwBETERERUUV07tw5NG3a\nFAqFotj+zp07491334WJiYm2rWvXrrhy5Qri4+O1bRkZGTh9+jS6detWovv/9VfB0eJVqlQpcey9\ne/dGy5Yt8cknnyA6OrrE8/8LURSh0WiK/N+LxmVmZuLSpUuYO3cuLC0t0bZt21KLydzcHPXq1UNY\nWFipXbMi4LYFov/IwUKBDQN8seXXO/js7G2E3UvDvG51YGde/H/xP0lqYQXljGV4fOwQ0javRM71\nS1BOXQSjqh4vnEtEREREBe6nZSEjJ6+8w4C5QgY3a5MXD3xKSkoKcnJytAUR9dWqVSuYmJjobF34\n4YcfYGdnhwYNGjxz3pMv18nJyfjll1+wb98+dO3aFdbW1iWOHwDmz5+P7t27v3D7QmnbsGED1q9f\nr9MmCALOnj2rU8OguHFyuRz+/v5YvHgxHBwcSjUuOzs7hIeHl+o1yxuTB0SlQCaR4O3mNVDf3Rqz\njkRgyPaLmNfNC42r2b5wriAIMO/aD/I6vkheNh3xk4fDeswHMOvcu1SXTxERERG9jNIy1ej7+Xno\nufjToKSCgOPjmsFaj1pYT5LJCl7LivvG/HkUCgXatGmjkzw4evQounbt+sw5hw8fxuHDh4vcv1On\nTggODi7R/Z/k6OiIqVOnYubMmdi1axeGDh36r69VEv3798eAAQOKtD9dgLBwnCiKuHHjBpYvX44G\nDRpgxYoVOqs5Sosoii/dv+WZPCAqRf5VbbE7oBGCj/yOCQeuYGSTqhjTrDpkeuw3k1erCcdPdiBt\ny0qkrluE7Mu/wXbCTEgsLMsgciIiIqLKydpUjkOjm1aYlQclTRwAgKWlJczMzJ5bbyArKwu5ubmw\ntNT9t2HXrl0xYcIExMfHQ6FQ4Pz583j//fefeZ02bdpgwoQJ2pdbY2NjuLm5aY9o/C/69euH48eP\nY8WKFWjVqtV/vp4+HBwc4OXlVaJx3t7ecHd3x8iRI/Hee+/hs88+K/W44uLiipyCUdkxeUBUypRm\ncqzp74vtF+7is7O3cSk6DQt6eMHRwviFcyXGxrANDIKxXxOkrp6PuAmDoPxwIRRevmUQOREREVHl\n9G+2ClQ0zZs3x4ULF6BWq4t9kd+3bx+WLVumPW2hUIsWLWBqaooTJ07AxMQEbm5uqF279jPvY21t\njTp16pR6/IUWLFig3b7g6upqsPv8V02aNMHgwYOxZ88eHDhwAP379y+1a6enpyMiIgK9evUqtWtW\nBCyYSGQAEkHAyCbV8OlAP8SkZ2PI9hCcvZWk93zT19vAce0eyBxckDBtLB7u2QyxhMvYiIiIiKjy\nGDVqFFJTU7Fq1aoifYmJidi6dStq1apVJDEgl8vRvn17HD9+HMeOHUP37t3LKuRiOTk5YerUqQgJ\nCcGpU6fKNZYXmTx5MpRKJT755BOkp6eX2nU3btyIvLw8DBw4sNSuWRFw5QGRAfm6WWN3QCPMPRaB\nyV9dw5CG7ghs6QEj6YvzdjIHJ9gv3oj0fV8gfe9m5FwNge2UeZDZO5VB5ERERERUlnx8fDBp0iSs\nXr0at27dQq9evWBjY4M///wTX3zxBdRqdbGJBQDo0qUL3nnnHUilUsyaNavUYoqLi8P27duLtL/2\n2mto2rTpM+f1798fx48fx7lz54pss6hIzM3NMXnyZMyYMQOrVq3C7NmzSzQ/NTUVV69eBVBQryI5\nORnHjx/H0aNH8e677xp0hUd5YPKAyMCsTYzwSe962BMajbWnb+Hqg4dY2MMLLlYvXl4nSGWwGjwW\nxvX8kbx8JuLHD4bNpFkwfb1NGURORERERGXpnXfegZeXF3bv3o3Fixfj4cOHcHJyQtu2bfH222/r\n7KF/shhfs2bNYGlpCVdXV1SvXl1nzJPjnv79RaKjo7FkyZIi7f369dMmD551vQULFqBHjx4GLRqo\n7/M8b1zfvn2xb98+7N+/HwMGDICnp6fe9//ll1/wyy+/aO9hYWEBLy8vrF27Fu3bt39hTJWNIIpi\nBahL+nJo164dAFT45TlUfn6PTcf0b68jPTsPszqr0PY1/Y+E0Tx6iNTVC5B1/ieYde0H69HvQaJ4\ncR0FIiIiIiJ6eZXVeyhXHhCVIS9nS+wa7o8FJyIx9X/X8aafGya29oBCJn3hXKmFFZQzluHx8a+Q\ntukTqH+/DOXURTCq6lEGkRMRERERGd6NGzegVqufO8bc3BweHqX/b+Do6GikpKS8cJyPj0+p37sy\nYPKAqIxZGBthSU9vHLzyACt/uomrD9KwqKc3qtiYvnCuIAgw79IXijq+SF46HfHvDYf1mMkw69K3\nUi59IiIiIiJ6UmBgIGJjY587xt/fHzt27Cj1e2/YsAFff/31C8fduHGj1O9dGXDbQinitgUqqT/i\nH2H6t9eRlKHG9E6e6FRb/2KI+TnZeLhlNTKOHIDJ621gM3EmpBZWBoyWiIiIiIgqmrJ6D+VRjUTl\nyNPRAjuG+6NFTTvM/C4CC07cQHaufkcyShTGsBk3FcoZHyPnWhjiJwxGzvXLBo6YiIiIiIheRUwe\nEJUzM7kM87vVwazOKhyPiEfArlD8lfRY7/mmr7eB47o9kDm4ICHobTzcswmiJs+AERMRERER0auG\nyQOiCkAQBPSs64LtwxpCFIHhO0PwTXgM9N1VJLN3gv3iT2E5aAzS936OxKB3kZcYZ+CoiYiIiIjo\nVcHkAVEF4mFnjh3DGqJTbUfMPx6JOUdvIFOt3yoCQSqF1eAxcFiyCXkJMYgfPxiZv/5k4IiJiIiI\niOhVwOQBUQVjbCTFrM61MbdrHfx0MxHDdoTiz4RHes9XePnCae1eKHwaInnhh0hZvxj5OdkGjJiI\niIiIiF52TB4QVVBdvZywc7g/FDIJRu4Kw6ErD/TexiCxsIQyaClsxk9H5snvED95ONR3ogwcMRER\nERERvayYPCCqwKrammLr0AboWdcZS374A9O//R0ZOXpuYxAEmHfpA8dVOyBAQMLkAGQcOah3AoKI\niIiIiKgQkwdEFZxCJsXUDp5Y0tMb528nY+j2i/g9Nl3v+UZVPeCwcjvMOvRE6oYlSF74ETSPHhow\nYiIiIiIietkweUBUSbTzdMCugEawMjHC6D1h2BMarf82BoUxbMZNhXLmcuSEhyF+/GBkX79k4IiJ\niIiIiOhlweQBUSXiZm2Czwc3wJv13bDyp5uY8nU4Hmbl6j3ftGlrOK7bA5mTKxKD3sHD3Z9B1Oi3\nDYKIiIiIiF5dTB4QVTJGUgkmt6mFFb3r4er9NAzZfhFXH+i/DUFm7wT7RRthOXgs0r/cgoSgd5CX\nEGfAiImIiIiIqLJj8oCokmpZ0w67AhrBydIYb++9hO0X7iJfz20MglQKq0Gj4bB0EzQJcYgbPwiZ\n504ZOGIiIiIiIqqsmDwgqsScLI3x6QA/DGtUBetO38Kkg1eR8lit93xFHV84rd0DY19/JC+aipR1\ni5CfnW3AiImIiIiIqDJi8oCokpNJJQhs6YE1/XzwR8IjDNl+EWH3UvWeL7GwhDJoKWwmzEDmj0cQ\n//5wqO9EGTBiIiIiIiKqbJg8IHpJNK2uxJ6ARqimNMW4/Zex+dxtaPL13MYgCDDv3BuOq3ZCECRI\nmByAjCMH9T7NgYiIiIiIXm5MHhC9ROzMFVjX3w+jX6+Oz8/fxvgDl5GYkaP3fKMqNeDwyTaYdeyJ\n1A1LkLzwQ2ge6V+MkYiIiIiIXk5MHhC9ZKQSAWNer44Nb/rhTnImhmy/iPO3k/WeL1EYw+bdqbCb\nuRw51y8jfvxgZIeHGTBiIiIiIiKq6Jg8IHpJNahig90BjaBytMDEg1ex7vQt5Gny9Z5v0rQ1HNft\ngczZFYnT38XDXZ9B1OQZMGIiIiIiIqqomDwgeonZmsmxqq8PJrT0wK6L9/D2l5cRl67/aQoyO0fY\nL9wIyyFjkb7vCyRMext5CbEGjJiIiIiIiCoiJg+IXnISQcDwxlXx2aD6SMjIxtDtF3E6Kknv+YJU\nCquBo+Gw9DNoEuMRN34wMs+dMmDERERERERU0TB5QPSK8HG1wq7hjeDjZo0PDl/Dyh9vIrcE2xgU\ndXzhtHYPjH0bIXnRVKSsXYj8bP1XMRARERERUeXF5AHRK8TKxAjLe9XF+21rYf/l+3hrTxjup2Xp\nPV9iYQll0BLYTJyJzJ+OIn7ycKhv3zRgxEREREREVBEweUD0ihEEAYMauGPLkAZIz8rF0O0XceqP\nhBLNN+/UC46rdkGQShE/OQCPvtsPURQNGDUREREREZUnJg+IXlF1nCyxK6ARmlZXYto317Hkhz+Q\nk6fRe75Rlepw/GQbzDv1QtrGZUheMAWa9DQDRkxEREREROWFyQOiV5i5QoZFPbwQ1MET34bHYuSu\nMNxJeaz3fEGugM27H8Fu1grk/H4F8eMHIzs8zIARExERERFReWDygOgVJwgC+vi6YuvQBlBr8jF8\nRyiO/h5XomuYNGkFx3V7IXNxR2LQO3i481OImjwDRUxERERERGWNyQMiAgC85mCBHcMaok0tewQf\njcC8YzeQpdZ/G4PMzgH2CzfAaug7SN+/FQlTxyIvIdaAERMRERERUVlh8oCItEzlMsztVgfBXWrj\nhz/iEbArFLeSMvSeL0ilsBz4FhyWboImORFx4wch88xJA0ZMRERERERlgckDIiqiu7cztg/1h0QA\nAnaG4n/XYkp0moKijg+c1u6BsV8TJC+ZhpQ1C5GfnW3AiImIiIiIyJAqTPLg5MmTUKlUqF27tvbn\npEmTAABnzpzBG2+8AR8fH/Tq1QunT5/Wmfvrr7+iR48e8PX1xYgRIxAdHa3Tv23bNrRs2RINGjTA\njBkzkJOTo+1Tq9WYPn06/P390aJFC2zdulVn7v379zFy5Ej4+fmhe/fuOHfunIE+AaKKpYadGbYN\nbYgudZyw4EQkZh2JwGO1/nUMJOYWUE5bDJuJM5H581HEvzcM6ts3DRgxEREREREZSoVJHkRFRaFt\n27Y4d+4czp07h7Nnz2LhwoW4d+8eJkyYgL59++LIkSPo1asXAgMDERMTAwCIjY1FYGAg+vbti0OH\nDsHGxgaBgYHa6544cQIbNmzA/PnzsX37dly9ehUff/yxtn/p0qWIiIjAzp07ERwcjHXr1uH777/X\n9gcGBsLBwQGHDh1Cz549MX78eMTFlayYHFFlZWwkxYxOKizoXgdnopIwbHsI/oh/pPd8QRBg3qkX\nHFftgiCTIX5yAB59t79EqxiIiIiIiKj8VZjkwa1bt1CrVi3Y2tpCqVRCqVTC3NwccXFxGDBgAIYP\nHw43NzeMGDECpqamuHbtGgDgwIEDqFu3LkaMGAEPDw8sXrwYDx48QEhICABg586dCAgIQKtWreDt\n7Y25c+fi4MGDyMnJQVZWFg4ePIiZM2dCpVKhffv2GD16NHbt2gUAOH/+PKKjozFv3jzUqFEDY8eO\nha+vLw4ePFhunxNReehU2wk7A/xhKpdi5O5Q7L90v0QJAKMq1eH4yTaYd+6NtI3LkDT/A2jS0wwY\nMRERERERlaYKlTyoXr16kfZGjRohKCgIAJCXl4cDBw5ArVbDx8cHAHD16lX4+/trxxsbG6NOnTq4\nfPky8vPzER4ejoYNG2r7fX19kZubi8jISERGRkKj0cDX11fb36BBA21i4tq1a/Dy8oJCodDpv3Ll\nSuk+PFElUMXGFF8MaYg+Pq74+NSfmPq/63iUnav3fEGugM07H8Ju9idQ37iK+PGDkX0t1IARExER\nERFRaakwyYPbt2/jzJkz6NSpEzp06IAVK1YgN/efF5N79+7Bx8cHs2fPRmBgIJydnQEACQkJcHBw\n0LmWnZ0d4uPjkZ6ejpycHJ1+qVQKa2trxMXFITExEdbW1pDJZNp+pVKJnJwcpKamIjExsci1lUol\n4uPjDfEREFV4cpkEU9q9hqVveCP0XiqG7gjB9ZiHJbqGSeOWcFy7FzLXKkic/i4e7twIUaN/LQUi\nIiIiIip7FSJ5EBMTg+zsbCgUCqxevRpTp07Ft99+q1ObwNbWFocOHcLs2bOxZs0a/PDDDwCA7Oxs\nyOVynevJ5XKo1Wpk/13d/Vn9WVlZxfYBeG6/Wq0unQcnqqTavuaAXQH+sDWVY/TeS9gVcq9E2xhk\ndg6wX7AeVsPeRfr+bUj4aCw0qckGjJiIiIiIiP4L2YuHGJ6LiwsuXLgAS0tLAIBKpUJ+fj4++ugj\nBAUFFRRdMzeHSqWCSqVCVFQUdu7ciQ4dOkChUBR5mVer1bC0tNRJBDzdb2Jigry8vGL7AMDExAQK\nhQIPHz4s0m9sbFyqz09UGblYmWDzoPrYcOYvrP45CmHRqQjuUgfWJkZ6zRekUlgOGAVFvYZIWjAF\nKavmwm7OagiCYODIiYiIiIiopCrEygMA2sRBIQ8PD+Tk5CAsLAyhoaFF+lJTUwEAjo6OSExM1OlP\nSkqCvb09bGxsoFAokJSUpO3TaDRIS0uDvb09HB0dkZaWhvz8fJ25xsbGsLS0fO61iQiQSSWY2Lom\nVvaph/CYdAzZfhFX7pesEKKidj3YTpqN7NBf8fj7/xkoUiIiIiIi+i8qRPLg7NmzaNy4MXJycrRt\nERERsLa2xuXLlzFr1iyd8devX4eHhwcAwMfHB5cuXdL2ZWVlISIiAn5+fhAEAXXr1kVYWJi2//Ll\nyzAyMoJKpULt2rUhk8l0CiCGhobC29tbe+2IiAid1QlhYWE6BRaJCGjuYYfdAf5wtTLGO19extbf\n7iC/BNsYTBo1h1mHnkjbvBJ5CbEGjJSIiIiIiP6NCpE88PPzg4mJCWbMmIHbt2/jl19+wccff4wx\nY8agZ8+eSEpKwooVK3D37l3s3r0b3333Hd555x0AQN++fXHp0iVs3rwZUVFRCAoKgru7u/YEhsGD\nB2PLli04efIkrl27hrlz5+LNN9+EQqGAsbEx3njjDQQHByM8PBwnT57E1q1bERAQAKDgpAdnZ2dM\nmzYNUVFR2LRpE8LDw9GvX79y+6yIKipHC2NsGOCHgCZVsfHMX5h44AqSH+tfH8R6zPuQmJsjZdU8\niE+sBiIiIiIiovIniCWpcmZAt27dwqJFi3DlyhWYmZlh4MCBGDduHICCIxMXLlyIP//8E66urpgy\nZQpat26tnXvmzBksXLgQ8fHxqF+/PubNmwdXV1dt/+bNm7Ft2zbk5uaiU6dOmDVrlrYeQnZ2NubO\nnYsTJ07AwsICo0ePxrBhw7Rzo6OjMX36dFy7dg1VqlTBjBkz0KRJk2KfoV27dgCAU6dOlfbHQ1Sp\nXLiTgtlHIiAIwLxuddCoqq1e87IvX0DizEBYv/sRLLq/aeAoiYiIiIgqv7J6D60wyYOXAZMHRP9I\nysjB7CMRCL2XilFNq2H069Ugk7x4sVPK+iXIPPUdHNfthZGLexlESkRERERUeZXVe2iF2LZARC8f\nO3MF1vb3xTvNa2Drb3cwbt8VJDzKeeE861ETIbFRImXVXIgaTRlESkREREREL8LkAREZjFQiYFTT\natg4wA8P0rIwZPtFnPsr+blzJCamsJ0cDHXEVWR8s7eMIiUiIiIioudh8oCIDK6+uw12B/jDy9kS\n7x26irW/RCFP8+yiiMbe9WHecyDStm9AbvSdsguUiIiIiIiKxeQBEZUJa1M5PulTD5Na18Tu0GiM\n3XsJsQ+znjneKiAQMgcnpHwSDFGTV4aREhERERHR05g8IKIyIxEEDPWvgs2D6iPpsRpDtofg55uJ\nxY9VGMP2/blQR93Ao4M7yjhSIiIiIiJ6EpMHRFTm6rpYYVeAPxpUscGHX4dj+ak/kVvMNgaFqi4s\n+g7Hwz2boL59sxwiJSIiIiIigMkDIionlsZGWPaGNz5s9xoOXXmA9advFTvOashYGLlWLdi+kJtb\nxlESERERERHA5AERlSNBEPBmfTe807wG9oZF4/fY9KJjjOSwfX8ucu/eQvq+L8ohSiIiIiIiYvKA\niMrdEH93vOZggQXHbxS7fUFeUwXLAaOQvu8LqG/eKIcIiYiIiIhebUweEFG5k0kkmNlJhdvJmdhx\n8W6xYywHvAWj6jWRvDIYYq66jCMkIiIiInq1MXlARBWCp6MFhjWqgi3n7+CvpMdF+gWZDLbvz0Xe\ng3t4uOuzsg+QiIiIiOgVxuQBEVUYo1+vBmdLEyw4cQOafLFIv7xaTVgNeRuPvtqJnMjwcoiQiIiI\niOjVxOQBEVUYCpkUszqrEB6TjoNX7hc7xqLvMMhr1kbKJ8HIz84u4wjp/+zdd3SUZd7G8euZlJn0\nHmhxj0kAACAASURBVHoNJXRCQpGiKAI2ig3RVREXsQQQ11V6k6ZiAcXKiiDs6gu4dqXaAFG6gBCQ\naigJCWmkzCSZmfcPMCuSBNFkJuX7OcfjSZ7fM1yT4xHm4r7vBwAAANUT5QGACqV93WDdHlNHr3x7\nWCcz8y66bnic275gT0lW5juvuCEhAAAAUP1QHgCocOKvjFKgxVOzV++X03nx9gWveg0VdO8jyv7o\nXVl3b3NDQgAAAKB6oTwAUOH4eXtqXJ/m+v5omj77KanYGf8Bd8rcKkZpLz4lR16uixMCAAAA1Qvl\nAYAKqVvjcF3fsoZe/Opnncm5+NGMhsmk0MemyJFxRhkL57khIQAAAFB9UB4AqLD+cXVTeZgMPbfu\nQLHXPWvVVdD9jyrn8/dl3fG9i9MBAAAA1QflAYAKK9jXW/+8ppnW7j+trw6kFDvjf8OtMrfrpLS5\n0+XIyXZxQgAAAKB6oDwAUKH1jo5Uj6hwPbN2v7KsBRddN0wmhY6eLEdOtjIWPO+GhAAAAEDVR3kA\noEIzDENjejeTtcCul74+WOyMZ2RNBT/wmHLWfKK8zetdnBAAAACo+igPAFR4NQIsGtWziT7afUqb\nj6UVO+PXZ4Ascd2U9tIM2bMyXJwQAAAAqNooDwBUCgPb1lZsvWDNWpWgvHz7RdcNw1DoqIlSQYEy\nXp/jhoQAAABA1UV5AKBSMBmGJvSNVmpOvl7feLjYGY+wCAU/9IRyv1ml3I3rXJwQAAAAqLooDwBU\nGvVCfPVgt0Z6b1ui9pzMLHbGt+d18rniaqXPny17RvFbHAAAAABcHsoDAJXKnXH11DwyQDNWJajA\n7rjoumEYChkxTpKU/spsOZ1OV0cEAAAAqhzKAwCViqfJpInXRetoWq4W/XCs2BmP4FCFxI9V3ndf\nKfebVS5OCAAAAFQ9lAcAKp1mkQEa0rmBFm46qkOp2cXO+Ha/Vr5X9lHGa8/KfibFtQEBAACAKoby\nAECl9PcuDVU32EczVibI7ih+a0Lww09KXl5Ke3km2xcAAACAv4DyAECl5O1p0sS+0frpVJb+b/vx\nYmc8AoMVOnKCrFs2KGfNxy5OCAAAAFQdlAcAKq12dYM1qENdvbbhkE5k5BU749P5Svle208Zb76g\nwtNJLk4IAAAAVA2UBwAqtUd6NFawj5dmrU4ocWtCyPDHZfLzV9q8p9i+AAAAAPwJlAcAKjVfb0+N\n7xOtzcfS9cmeU8XOmPz8FfroJNl2blbO5++7OCEAAABQ+VEeAKj0rmgUphtb1dTcrw4qNdtW7Iyl\nQxf5XX+LMhbOU+Gp4s9IAAAAAFA8ygMAVcLoq5vKy8PQs2sPlDgTfP+jMgWFKG3uU3I6HC5MBwAA\nAFRulAcAqoRgHy89cW1zffVzir7cf7rYGZOvn0JHT5Ztz3Zlf/yeixMCAAAAlRflAYAqo1ezCPVs\nEq5n1h5QlrWg2BlL2zj59x+szMWvqOD4UdcGBAAAACopygMAVYZhGHqyd3Pl2x2a+9XBEueChoyQ\nR3gNpb04TU57oQsTAgAAAJUT5QGAKiXC36xHezbRJ3tO6YejacXOmCwWhT42RfkHftLZ95e6OCEA\nAABQ+VAeAKhyBrSppbj6wZq1OkG5+cWvLDC3bKeAm+9W5r/fUP7RklcpAAAAAKA8AFAFGYahCX2i\ndSYnX69vOFLiXNDdD8qzdj2lvTBFzkK2LwAAAAAloTwAUCXVDfHVw90b671tidp9MrPYGcPbrLB/\nTFPBkYPKWrbQxQkBAACAyoPyAECVNTi2nlrUDND0lQnKL3QUO+PdtIUCBw1V1ntvKf9ggosTAgAA\nAJUD5QGAKsvDZGjSdS30S3qu3v7+aIlzgYP/Lq8GUee2LxTkuy4gAAAAUElQHgCo0ppE+Gto5wZ6\n+4djOpiSXeyM4eWl0H9MU8GJY8r8zwIXJwQAAAAqPsoDAFXe0C4NVT/EV9NX7pPd4Sx2xrtRUwXd\n+YDOrlgsW8IeFycEAAAAKjbKAwBVnrenSZOui9a+pLN6b1tiiXMBtw+Rd5Nopb04RQ6b1YUJAQAA\ngIqN8gBAtdCmdpDuiK2r1zYc1vH03GJnDA9PhT42TYXJp5T5zqsuTggAAABUXJQHAKqNh7s3Vpif\nt2au3i+ns/jtC171Gyno3keU/dG7su3Z4eKEAAAAQMVEeQCg2vD19tT4PtHa+ku6Pt59qsS5gAF3\nyrtFW515caocecWvUgAAAACqE8oDANVK54ah6te6luZ+fVAp2bZiZwwPD4U+NlWO9DPKfPtlFycE\nAAAAKh7KAwDVzuirm8jbw6Rn1pSyfaF2PQUNHansz5bLunOzixMCAAAAFQvlAYBqJ9DipTHXNtM3\nB1O17kBKiXP+N94uc9s4pc19So7cbBcmBAAAACoWygMA1dI1zSN1ddMIzVm7Xxl5BcXOGCaTQkdP\nliM7SxkLXnRxQgAAAKDioDwAUG09eW0zFdidmvvVzyXOeNaoreBhjyln9UfK27zBhekAAACAioPy\nAEC1Fe5v1uirm+izn5K06ciZEuf8+g6UJbar0l6eIfvZTBcmBAAAACoGygMA1Vq/1rXUqUGIZq1O\nUE5+YbEzhmEoZNREOW02Zbz+nIsTAgAAAO5HeQCgWjMMQ+P6RCsjr0CvrT9c4pxneKRCHvqncr/+\nQrnffeXChAAAAID7UR4AqPbqBvvo4e5RWrb9uH48UfK2BN+rb5BPl6uUPn+W7JnpLkwIAAAAuBfl\nAQBIuqNDXbWqFagZK/fJVmgvdsYwDIWMGC85HUp/5Wk5nU4XpwQAAADcg/IAACR5mAxNvC5axzPy\ntPD7YyXPhYQp5JGxytu4TnnfrnZhQgAAAMB9KA8A4LyocH/d36WhFv9wTAdOny1xzrdHb/n06K30\n156VPS3VhQkBAAAA96A8AIDfuK9LAzUM9dWMlQkqdDhKnAt5eIzk4aG0l2eyfQEAAABVHuUBAPyG\nl4dJk65rof2nz+rdrcdLnPMIClboyAmybl6v3LWfujAhAAAA4HqUBwDwO61qBWpwbD29sfGwEtNz\nS5zz6XKVfHvdqPQ3n1NhSpILEwIAAACuRXkAAMV4qFtjhft5a8aqBDlK2ZYQMvyfMvn4Kf2lGWxf\nAAAAQJVFeQAAxfDx9tD4vtHanpihD3edLHHO5B+gkFETZd3+vXJW/teFCQEAAADXoTwAgBJ0ahCq\nAW1q6aWvD+r0WVuJcz5xXeXX92Zl/GuuCpNOuDAhAAAA4BqUBwBQikd7NpGPl4eeXrO/1G0JwcNG\nyxQYrLS50+Qs5SkNAAAAQGVEeQAApQiweGlM7+ZafyhVa/afLnHO5Oun0NFTZNu9XdmfLnNhQgAA\nAKD8UR4AwCX0bBqhXs0i9Ny6A8rIzS9xztIuTv43DVLmopdVcOKYCxMCAAAA5YvyAAD+gH/2aia7\nw6kXvvq51LmgoSPlERaptBemyWm3uygdAAAAUL4oDwDgDwj3N+uxq5vqi73J2nj4TIlzJouPQh+b\novz9u3X2g6UuTAgAAACUH8oDAPiDbmxVU10ahmr26gTl5BeWOGdu2V4BN9+tzCWvq+DYIRcmBAAA\nAMoH5QEA/EGGYWhcn+bKshbqlW9LLwWC7nlInrXq6swLU+UsLLloAAAAACoDygMAuAy1g3z0SI/G\nWr7jhHYczyhxzvA2K/QfU1Vw+ICyli9yXUAAAACgHFAeAMBluj2mrtrUDtSMlQmyFZZ8KKK5WSsF\n3j5EWe8uUP6h/S5MCAAAAJQtygMAuEweJkMT+7bQqaw8vbXpaKmzgXc+IK/6jZX24lQ5Cwpckg8A\nAAAoaxWmPFi7dq2io6PVokWLon8/+uijkqSdO3dq8ODBiomJ0fXXX6/ly5dfcO93332nfv36qX37\n9rrvvvuUmJh4wfVFixbpyiuvVGxsrCZMmCCbzVZ0LT8/X+PHj1fHjh3Vo0cPvf322xfce/z4cQ0d\nOlQxMTG66aabtHHjxnL6CQCoTBqH++nvVzTUOz/8ov3JZ0ucM7y8FPrYVBX8clhZ7y5wYUIAAACg\n7FSY8uDgwYO65pprtHHjRm3cuFEbNmzQzJkzlZqaquHDh6tLly766KOPNHLkSM2YMUPffPONJOnk\nyZOKj4/Xrbfeqvfff18hISGKj48vet1Vq1bp1Vdf1fTp07V48WL9+OOPmjNnTtH1Z555Rnv37tWS\nJUs0ZcoUzZ8/X6tXry66Hh8fr8jISL3//vvq37+/RowYoaSkJNf9YABUWPd2aqDG4X6avnKfCh2O\nEue8o5or8M4HlLV8sWz797gwIQAAAFA2Kkx5cOjQITVt2lShoaEKCwtTWFiY/P39tXbtWkVERGj0\n6NGqX7++brjhBg0YMECffvqpJGn58uVq06aN7rvvPkVFRWn27Nk6ceKEtmzZIklasmSJhgwZoquu\nukqtW7fWtGnTtGLFCtlsNuXl5WnFihWaOHGioqOjde2112rYsGFauvTcs9k3bdqkxMREPfXUU2rc\nuLGGDx+u9u3ba8WKFW77OQGoOLw8TJp4XbR+TsnWv7ckljobePt98opqrrQXpsphs7ooIQAAAFA2\nKlR50KhRo4u+f+WVV2r27NkXff/s2XPLhHft2qWOHTsWfd9isahly5basWOHHA6Hdu/erbi4uKLr\n7du3V0FBgRISEpSQkCC73a727dsXXY+NjdWuXbuKXrtVq1Yym80XXN+5c+dff8MAqoSWNQN1V1x9\nvbnxiI6l5ZY4Z3h6KuwfU1WYfFJZS153YUIAAADgr6sw5cGRI0e0fv169e3bV71799bzzz+vgoIC\n1a5dW23bti2aO3PmjD7//HN17dpVknT69GlFRkZe8Frh4eFKTk5WVlaWbDbbBdc9PDwUHByspKQk\npaSkKDg4WJ6enkXXw8LCZLPZlJ6erpSUlIteOywsTMnJyeXxIwBQST3YrZEiA8yauSpBDqezxDmv\n+o0VdM9DOvvhv2X7iRISAAAAlUeFKA9Onjwpq9Uqs9msefPmacyYMfrkk08uOJtAkmw2m0aOHKnI\nyEjdcccdkiSr1Spvb+8L5ry9vZWfny+r1Vr0dXHX8/Lyir0mqdTr+fn5f/1NA6gyLF4emtA3WjuO\nZ+iDH0+WOhsw8G/yjm6jtBenymHNc1FCAAAA4K+pEOVB7dq19cMPP2jWrFlFZw+MHz9ey5Ytk/P8\n3+Ll5uZq+PDh+uWXX/TGG28UbSUwm80XfZjPz8+XxWK5oAj4/XUfH58S75VU6nWLxVJ2bx5AlRBX\nP0QD29bWy98cVFJWyWcaGB4eCn1squxpKcp8+2UXJgQAAAD+vApRHkhSYGDgBV9HRUXJZrMpIyND\n2dnZuv/++3Xo0CEtXrxY9erVK5qrUaOGUlJSLrg3NTVVERERCgkJkdlsVmpqatE1u92ujIwMRURE\nqEaNGsrIyJDjN6ekp6amymKxKDAwsNTXBoDfG3VVlHy9PfTMmv1FxWdxvOrUV9B9I5X96TJZf9zi\nwoQAAADAn1MhyoMNGzaoc+fOstlsRd/bu3evgoODFRISohEjRujEiRNaunSpoqKiLri3Xbt22r59\ne9HXeXl52rt3r2JiYmQYhtq0aaNt27YVXd+xY4e8vLwUHR2tFi1ayNPT84IDELdu3arWrVsXvfbe\nvXsvWH2wbdu2Cw5YBIBfBVi8NKZ3c204fEarE0o/G8X/pkEyt4lV2tyn5MjNdlFCAAAA4M+pEOVB\nTEyMfHx8NGHCBB05ckTffPON5syZowceeEDLli3T5s2bNWPGDPn7+ys1NVWpqanKzMyUJN16663a\nvn27FixYoIMHD2rcuHGqV69e0RMY7rrrLr311ltau3atdu3apWnTpmnQoEEym82yWCwaMGCApkyZ\not27d2vt2rV6++23NWTIEElSp06dVKtWLY0dO1YHDx7Um2++qd27d+u2225z288KQMV2VZMI9Y6O\n1HPrflZ6bsnnoxgmk0JHT5bjbKYy/jXPhQkBAACAy2c4S1tb60KHDh3SrFmztHPnTvn5+Wnw4MF6\n5JFHNGzYMG3cuPGi+Y4dO+qdd96RJK1fv14zZ85UcnKyOnTooKeeekp16tQpml2wYIEWLVqkgoIC\n9e3bV5MmTSo6D8FqtWratGlatWqVAgICNGzYMN1zzz1F9yYmJmr8+PHatWuX6tevrwkTJqhLly7F\nvodevXpJktatW1dmPxcAlU9aTr4GLfxeXRqFacZNrUqdzf7iv0qfP0vh0+bJJ66bixICAACgqnDV\n59AKUx5UBZQHAH71+U+nNOXzfXrhlrbqERVe4pzT6VTq5FEqOHZQNV/5P5kCAkucBQAAAH7PVZ9D\nK8S2BQCoaq5vWVNXNArV02v2K9tWWOKcYRgKeXSiHNY8pb/5nAsTAgAAAH8c5QEAlAPDMDSud3Nl\nWws1/9tDpc56htdQyPB/KvfLz5W36WvXBAQAAAAuA+UBAJSTWkE+ir8ySu/vPKHtiemlzvr2ulGW\nTj2UNn+W7JkZLkoIAAAA/DGUBwBQjm6LqaN2dYI0c1WCrAX2EucMw1DoyAmS3a70155xYUIAAADg\n0igPAKAcmQxDE/tG61SWVQu+O1LqrEdouEIeflJ569cod/0aFyUEAAAALo3yAADKWcMwPz3QtZH+\nvSVRCclnS531ubKPfLr1UvqrT8ueluqihAAAAEDpKA8AwAXu6VhfjcP9NH3lPhXaHSXOGYahkPix\nkslDafNniafpAgAAoCKgPAAAF/D0MGny9S10KCVHS7b8UuqsR1CIQkaMl/WHb5X75WcuSggAAACU\njPIAAFwkukaA/taxnv713VEdPZNT6qzvFT3le/X1Sn/jORWmJrsoIQAAAFA8ygMAcKEHujZSzUCz\nZq5KkOMSWxJCHnxCJouP0ufNYPsCAAAA3IryAABcyOLlofF9o7XzRKbe33mi1FlTQKBCRk2Udfsm\n5az60EUJAQAAgItRHgCAi8XWC9Gt7epo/jeHlJRlLXXWJ66b/PoMUMa/XlRh8kkXJQQAAAAuRHkA\nAG4w4qoo+Vs8NXv1/ktuSQh+4DGZ/AOVNvcpOR0lP6kBAAAAKC+UBwDgBv5mT43t3VzfHTmjL/aW\nfiCiyddfoaMny7Zrq7I/W+6ihAAAAMD/UB4AgJv0iApX3xY19MKXB5SWk1/qrKV9J/nfdLsy335Z\nBSdKf9QjAAAAUNYoDwDAjR6/pqlkGHr+ywOXnA0aOkoeoeFKe3GqnHa7C9IBAAAA51AeAIAbhfh6\n65/XNNXqhNP65mBKqbMmi49CH5uq/ITdOvvhf1yUEAAAAKA8AAC369uihro3DtMza/Yr21ZY6qy5\nVXv5D7xLmUteU8Evh12UEAAAANUd5QEAuJlhGBrTu7ly8+166euDl5wPuudhedaofX77QullAwAA\nAFAWKA8AoAKoGWjRiCuj9MGuk9r2S3qpsyaz5dz2hYMJOrt8sYsSAgAAoDqjPACACuKW9nUUUzdI\nM1clyFpQ+oGI5ujWCrhtiDLfXaD8w5c+bBEAAAD4KygPAKCCMBmGJvRtoeSzNr258cgl54PuekBe\ndRsq7YWpchYUuCAhAAAAqivKAwCoQBqE+mp4t0b699ZftDcpq9RZw8tbof+YqoJfDinrvbdclBAA\nAADVEeUBAFQwf+tYT00j/DVjZYIK7Y5SZ72johU4eJiylr0t24GfXJQQAAAA1Q3lAQBUMJ4mkyZd\n10KHU3P0zuZfLjkfOGiovBo3O7d9Id/mgoQAAACobigPAKACal4jQPd0qq9/bTqiI2dySp01PD0V\n9o+pKjx1XJlLX3dRQgAAAFQnlAcAUEEN69pQtQJ9NH3lPtkdzlJnvRpEKejuB3X2v0tl2/ujixIC\nAACguqA8AIAKyuzpoYnXRWv3ySyt2Hn8kvMBt9wj7+atlfbiNDmsVhckBAAAQHVBeQAAFVhM3WDd\n1r6OXvn2sE5l5pU6a3h4KPSxKbKnJitz8XwXJQQAAEB1QHkAABVc/JVRCrR4atbq/XI6L7F9oW5D\nBQ2JV/bH78m6a6uLEgIAAKCqozwAgArO3+ypcX2a6/ujafr8p6RLz/cfLHPrDkqb+5QcuaUftggA\nAAD8EZQHAFAJdGscrutb1tALX/2sMzn5pc4aJpNCR0+WIzNdGW/NdVFCAAAAVGWUBwBQSfzj6qYy\nGYaeW3fgkrOeteoq+O+PKmflB8rbtskF6QAAAFCVUR4AQCUR7OutJ3o109r9p/X1zymXnPe7/laZ\nYzorfd50ObLPuiAhAAAAqirKAwCoRHpHR6pHVLieWbNfZ60Fpc4ahqHQRyfJkZej9Defd1FCAAAA\nVEWUBwBQiRiGoTG9mymvwK553xy85LxnRE0FD39cues+Vd7337ggIQAAAKoiygMAqGRqBFg0qmcT\nfbTrlDYfS7vkvN+1/WTp1ENpL8+SPSvDBQkBAABQ1VAeAEAlNLBtbXWoF6xZqxJkLbCXOmsYhkJH\nTpAKC5Tx2rMuSggAAICqhPIAACohk2FoQt9opebk6/UNhy857xEaruCHn1Tut6uVu2GtCxICAACg\nKqE8AIBKqn6Irx7s1kjvbkvUT6eyLjnve1Vf+XS7RumvPC17+hkXJAQAAEBVQXkAAJXYnXH11Dwy\nQNNX7lOB3VHqrGEYCokfJxmG0l+ZLafT6aKUAAAAqOwoDwCgEvM0mTTxumgdTcvVoh+OXXLeIyhE\nIfHjlLfpa+V+9YULEgIAAKAqoDwAgEquWWSAhnSqr4WbjupQavYl5327XSPfntcp/fU5Kkw9Xf4B\nAQAAUOlRHgBAFXD/FQ1VN9hHM1cmyO649HaE4IeekGE2K/3lGWxfAAAAwCVRHgBAFWD29NDEvtHa\ncypLy3Ycv+S8R0CQQkdOlHXrd8pZ/ZELEgIAAKAyozwAgCqiXd1gDepQV6+uP6QTGXmXnPfp1F1+\nvfspY8GLKjx9ygUJAQAAUFlRHgBAFfJIj8YK9vHSrNUJf2g7QvADj8vk76+0udPldJT+tAYAAABU\nX5QHAFCF+Hp7alyfaG0+lq5Pf0q65LzJz1+hj06S7cfNyv78fRckBAAAQGVEeQAAVUzXRmG6sVVN\nvfjlz0rNtl1y3hLTRX433KbMhfNUcDLRBQkBAABQ2VAeAEAVNPrqpvLyMDRn3YE/NB98/yiZQsKU\nNneanHZ7OacDAABAZUN5AABVULCPl564trm+PJCiL/efvuS8ycdXoY9NUf7eH5X98bsuSAgAAIDK\nhPIAAKqoXs0idFWTcD277oCyrAWXnLe07iD//oOVsfhVFSQeLf+AAAAAqDQoDwCgijIMQ2N6N5et\n0KF5Xx/8Q/cEDYmXZ2RNpb0wRU57YTknBAAAQGVBeQAAVViEv1mP9myij3ef0g9H0y45bzJbFPqP\naco/uE9n31/igoQAAACoDCgPAKCKG9CmluLqB2vW6gTl5V/6MERzdBsF3HKPMv/9hvKP/rEVCwAA\nAKjaKA8AoIozDEMT+kTrTE6+Xttw+A/dE3T3g/KsU//c9oWCS5+XAAAAgKqN8gAAqoG6Ib56qHtj\nvbctUbtPZl5y3vDyVthj01Rw9KDOPDteeZs3yGG1uiApAAAAKiLKAwCoJgbH1lWLmgGavjJB+YWO\nS857N22hkPhxyj90QKnTRuvE4GuUMnmUzn78ngpPHXdBYgAAAFQUlAcAUE14mkyadF0L/ZKeq0U/\nHP1D9/j3Hahab32omm+sUPCQR+QsLFTGW3N1athAnXrwVqUveEHWHT/IWZBfvuEBAADgVp7uDgAA\ncJ0mEf4a2rmB3v7+mK5pFqkmEf6XvMcwDHnVbSivug0VcPPdcuTmyPrjFlm3bFTe+rXK/vA/Mnx8\nZWnfSZa4brLEdZVneA0XvBsAAAC4CuUBAFQzQ7s01LoDpzVjVYLeuitWHibjsu43+frJ94qe8r2i\np5xOpwqO/Czr1o3K27pR6a/MlhwOeTVqKktcN/nEdZN3izYyPPjtBgAAoDLjT3MAUM14e5o0sW8L\nDfvPNv3f9kTdFVf/T7+WYRjybtxM3o2bKXDQUNnPZsq24wflbdmgnFUf6uzyRTL8AmSJ7SKfuG6y\nxHaVR3BoGb4bAAAAuALlAQBUQ23rBOmO2Lp6df1hXdkkQnWDfcrkdT0CguR7ZR/5XtlHTodD+T/v\nPbcqYctGpb0wVTIMeTdtIUvH7rLEdZN3kxYyTBy/AwAAUNEZTqfT6e4QVUWvXr0kSevWrXNzEgC4\ntNz8Qt25aLNqB/no1UHtZRiXt33hctnTz8i6bZPytm6UdfsmOXOyZQoKkSWuq3w6dpelfWeZAgLL\nNQMAAEBV46rPoaw8AIBqytfbU+P7RGvE8p36ePcpDWhbu1x/PY+QMPlde5P8rr1JzsJC2RJ2ybpl\no6xbNyp33WeSyUPmFm3PHbrYsZu8GjYp90IDAAAAfwzlAQBUY50bhuqm1jU19+uD6to4TBH+Zpf8\nuoanpyytO8jSuoM0dKQKU5Jk3fqdrFs3Kuv/3lLm4vnyCK9xblVCXDeZ23eSycfXJdkAAABwMcoD\nAKjmRvdsqu8Op+nZNfv17MA2bvnbfs+ImvK//hb5X3+LnAX5su3ZrrzzqxJyVn4geXrJ3KbDuUMX\nO3aTZ+36rEoAAABwIcoDAKjmgny8NObaZhrz8R59eSBFvZpHujWP4eUtS0wXWWK6SMMfV8HJRFm3\nbpR1y0ZlLJovLXhBnrXqntveENdNlraxMrxds2ICAACguqI8AADomuaRurpphJ5du19x9UMU5OPl\n7khFvGrXk1f/wQroP1gOa55su7Yqb8sG5X3/jbI/+T8ZZrPM7Tr9b1VCZC13RwYAAKhyeNpCGeJp\nCwAqs9RsmwYt/EFXNgnX1BtaujvOJTmdThX+cvjc0xu2bJRt707Jbpdn/cby6XhuVYK5ZXsZnvTk\nAACg6uJpCwAAlwr3N2v01U00fWWC+raooSsahbk7UqkMw5BXgyh5NYhS4K33ypGTLeuO78+dBN2t\n8QAAIABJREFUk7Duc519f4kMXz9ZYjrL0rG7fGK7yiM03N2xAQAAKiXKAwBAkX6ta2nl3mTNXr1f\n7w3tJF/vyvPbhMnPX77dr5Vv92vldDhUcPiA8rZskHXrRqXPm650p1NeUdFFqxK8m7WS4eHh7tgA\nAACVAtsWyhDbFgBUBccz8nTnoh80oE1t/bNXM3fHKRP2zAxZt286d/Ditk1ynM2UKTBIlg5dZenY\nTZYOXeQRGOzumAAAAJeNbQsAALeoG+yjh7tHae5XP6t3dA21qxPk7kh/mUdQsPyuvl5+V18vp92u\n/P17ZN26UXlbNyr36y8kk0nezVrL0rGrfDp2l1fj5jwKEgAA4DdYeVCGWHkAoKqwO5wa9p9tyskv\n1NJ7O8nb0+TuSOXGfiZFedu+k3XLBll3bJYzL0em0HD5xJ5flRDTWSZff3fHBAAAKBYrDwAAbuNh\nMjShb7TueWeLRq7YqejIAEUEmBXpb1ZkgFkR/uf+qQqlgkdYhPz7DJB/nwFyFhTItvfHc6sStmxQ\nzpqPJQ8PmVvFyBLXTT4du8mzXiNWJQAAgGqHlQdliJUHAKqaz39K0id7Tikl26aUszblFtgvuB7s\n46XI86VChL/5ooIhMsCsALNnpf2wXZh0Qnlbv5N160bZdm2R02aTR43a8ok7/yjItnEyWSzujgkA\nAKoxV30OpTwoQ5QHAKq6bFuhUrJtOn3WptPnC4XT57/+9fvpufn67W8sZk+TavxmtUJkwG/KhfOF\nQ5iftzxNFXsVg8NmlW33Nlm3bFTelo2yJ5+QvLxlaRsnS9y5sxI8a9V1d0wAAFDNVLvyYO3atRox\nYoQMw5DT6ZRhGOrTp4/mzZtXNHPs2DH1799fP/744wX3fvfdd5o9e7YSExPVvn17TZ8+XfXq1Su6\nvmjRIi1cuFA5OTm67rrrNHnyZJnNZklSfn6+pk6dqjVr1shisej+++/X0KFDi+49fvy4Jk2apJ07\nd6pOnToaN26cunXrVux7oDwAAKnA7lBqtk2ns/OLCoVz/7b+5ut85dsdRfeYDCnMz/uCQqG4FQ0V\n5dGRTqdThSeOFRUJtp+2S4WF8qzb4Nz2hrhuMreOkeHl7e6oAACgiqt2Zx4cPHhQ11xzjWbMmKFf\n+4xfP+BL0qlTp/Tggw8qPz//gvtOnTql+Ph4Pfroo+rRo4fmz5+v+Ph4ffzxx5KkVatW6dVXX9Wc\nOXMUFhamsWPHas6cOZo4caIk6ZlnntHevXu1ZMkSHT9+XGPGjFGdOnXUp08fSVJ8fLyio6P1/vvv\nFxUcX3zxhWrWrOmKHwsAVDpeHibVCvJRrSCfEmecTqcy8wrOrV74dSXDryVDtk07EjOUkm1TprXw\ngvv8zZ7nCwbv8wWDpahg+HU1Q4ivl0zlvE3CMAx51W0or7oNFXDz3+TIzZH1xy3nyoT1a5X94X9k\n+PjK0r6TLHHdZInrKs/wGuWaCQAAoDxVmPLg0KFDatq0qUJDQy+6tnbtWk2ePFmRkZEXXVu+fLna\ntGmj++67T5I0e/ZsdevWTVu2bFHHjh21ZMkSDRkyRFdddZUkadq0afr73/+uJ554Qg6HQytWrNBb\nb72l6OhoRUdHa9iwYVq6dKn69OmjTZs2KTExUcuWLZPZbNbw4cO1adMmrVixQiNGjCjXnwcAVGWG\nYSjY11vBvt5qFhlQ4py1wF5UKKSc/c12iWybjp3J1eZj6TqTnS/7bxbReZqMC7dI/GblQkTR9glv\nmT09yuz9mHz95HtFT/le0VNOp1MFR34uehRk+iuzJYdDXo2anj90sbu8o1vL8KgwvwUDAABcUoX5\nk8uhQ4dK3A7wzTff6LHHHlODBg00ZMiQC679+OOP6tixY9HXFotFLVu21I4dOxQbG6vdu3dr5MiR\nRdfbt2+vgoICJSQkyOFwyG63q3379kXXY2Nj9cYbb0iSdu3apVatWl2wAiI2NlY7d+4sk/cMACid\nxctD9UJ8VS/Et8QZu8Op9Nz8ooIh+fwKhl9XNPyckl3iYY8RvzvcMfJ3hz7+mcMeDcOQd+Nm8m7c\nTIGDhsp+NlO2HT+ce3rDqg91dvkiGX4BssR2OXfwYmxXeQRfXJwDAABUJBWmPDhy5IjWr1+v1157\nTQ6HQ9ddd51GjRolLy8vTZ8+XZK0efPmi+47ffr0RSsSwsPDlZycrKysLNlstguue3h4KDg4WElJ\nSef+5is4WJ6e//sxhIWFyWazKT09XSkpKRe9dlhYmJKTk8vyrQMA/gIPk6Fwf7PC/c1SKTvKSjrs\nMSXbpoTks/r2YGqxhz3+dsVCjd8d9Bj5Bw579AgIku+VfeR7ZR85HQ7l/7z3/KMgNyrthamSYci7\naUtZOp57goN3kxYyKvjhkQAAoPqpEOXByZMnZbVaZTabNW/ePB0/flwzZsyQzWbT+PHjS73XarXK\n2/vCA6m8vb2Vn58vq9Va9HVx1x0OR7HXpHMHKebl5ZV4LwCgcvE3e8rf7KlGYX4lzhTaHUrNyS9a\nvXD6glUMVu05mVnsYY+hvt4XP6bydwc/+np7yjCZZG7eWubmrRX0twdlTz8j67ZNytu6UWc//I+y\n/v2mTEEhRU9vsLTvLFNAoCt+PAAAAKWqEOVB7dq19cMPPygw8NwfkKKjo+VwOPTkk09q3LhxpS4Z\nNZvNF32Yz8/PV2Bg4AVFwO+v+/j4qLCwsNhrkuTj4yOz2azMzMyLrlt4pjcAVEmeHibVDLSoZmDJ\n/593Op3KtBb+7ukR/3tkZUmHPfp5e1y8RcLfrIiGnVWjzVUKf8RDfscSZNu6UdatG5W77jPJ5CFz\ni7bnDl3s2E1eDZtc9jYKAACAslAhygNJRcXBr6KiomSz2ZSRkaGQkJAS76tRo4ZSUlIu+F5qaqpa\ntGihkJAQmc1mpaamqlGjRpIku92ujIwMRUREyOFwKCMjQw6HQ6bzS0RTU1NlsVgUGBioGjVq6ODB\ngxe9dkRERFm8ZQBAJWQYhoJ9vBTs43VZhz2mZP/vPIZjZ3K15Vi6UnPyZXdceNhjuH8HRXS9QhE9\npdCzpxWUdERBa39Q6IefKsLXW7XbtlZQx64yt+8kk0/JZ0EAAACUpQpRHmzYsEGPP/64vv3226LD\nCffu3avg4OBSiwNJateunbZv3170dV5envbu3atRo0bJMAy1adNG27ZtKzpUcceOHfLy8lJ0dLSc\nTqc8PT21c+dOdejQQZK0detWtW7duui1FyxYoPz8/KJVDNu2bVNcXFyZ/wwAAFXLnzns8fRvVzKc\ntemwM1Snff2U27TF/26ySQFfnVXoqg8UZbZr/LAbFRQR5oJ3BAAAqrMKUR7ExMTIx8dHEyZMUHx8\nvH755RfNmTNHDzzwwCXvvfXWW7Vw4UItWLBAV199tebPn6969eoVlQV33XWXpkyZoiZNmigyMlLT\npk3ToEGDikqKAQMGaMqUKZo1a5aSk5P19ttv6+mnn5YkderUSbVq1dLYsWP1yCOP6Msvv9Tu3buL\nrgMA8Ff8mcMeU7JtOnXytJKOJWpdqqH4N1brleHXKiiSVXEAAKD8GE6n03npsfJ36NAhzZo1Szt3\n7pSfn58GDx6sRx555IKZzZs3a8iQIdq3b98F31+/fr1mzpyp5ORkdejQQU899ZTq1KlTdH3BggVa\ntGiRCgoK1LdvX02aNKloJYHVatW0adO0atUqBQQEaNiwYbrnnnuK7k1MTNT48eO1a9cu1a9fXxMm\nTFCXLl2KfQ+9evWSJK1bt65MfiYAAJRm9469GrnyqOoWZujVB3opsGYNd0cCAAAu5qrPoRWmPKgK\nKA8AAK62a9d+jfr8kOrmZ+iVYT0VVLu2uyMBAAAXctXnUB4kDQBAJda2bXO9fFMzHfcOVvyCL5WZ\nmOjuSAAAoAqiPAAAoJJr07qJXuofrePmMI1Y+LUyjh1zdyQAAFDFUB4AAFAFtG3ZWPMGtNAv5nCN\nfPtbZRw+7O5IAACgCqE8AACgimjXoqFevrmVfvEJ16jFG5T+8wF3RwIAAFUE5QEAAFVI2+b19dIt\nbXTMN1KPLv1O6Qn7Ln0TAADAJVAeAABQxbRrWlcv3dpGR31r6tH//KD0vbvdHQkAAFRylAcAAFRB\n7ZrU0cu3tddRv5oa/e5Wpe/a6e5IAACgEqM8AACgimoXVVMv395eR/xra/Ty7UrbsdXdkQAAQCVF\neQAAQBXWrnFNvTQoRkcC6uix//6o9K3fuzsSAACohCgPAACo4to3ijxfINTVYx/+pLTv17s7EgAA\nqGQoDwAAqAbaN4zUS3fE6nBgPT3+yX6lbfjK3ZEAAEAlQnkAAEA10b5BuObdEauDQfX1+BcHlfb1\nWndHAgAAlQTlAQAA1UhMgzC9NDhWB4Mb6PE1R3Rm7efujgQAACoBygMAAKqZmPphmjcoVgeDG+qJ\nL48rdeVH7o4EAAAqOMoDAACqoQ4NwjT3jlj9HNJIY75NUuqnK9wdCQAAVGCUBwAAVFOx9UM19444\n7Q9prDEbU5X6wbvujgQAACooygMAAKqx2PohmndHrA6ENtGYzZlKWfaOuyMBAIAKiPIAAIBqLrZ+\nqF4c1EEHwppo3I5cnf73v+R0Ot0dCwAAVCCUBwAAQHENQjV3UKwSwppowp4CnV78GgUCAAAoQnkA\nAAAkndvCMHdQrPaFNdXE/YZS/vUSBQIAAJBEeQAAAH4jrn6IXry9g/aFNdOEw946/dpzcjoc7o4F\nAADcjPIAAABcoGODUL1we4z2hjXTpER/Jb/8NAUCAADVHOUBAAC4SKcGoXrx9hj9FNZMU5KClfTi\ndDntdnfHAgAAbkJ5AAAAitWpQaheuC1Ge8Kaa2pKhJKemyxnYaG7YwEAADegPAAAACXq3PB8gRDR\nXFMz6ujUMxPkLChwdywAAOBilAcAAKBUnRuG6vlb2mtPWLSeym6gU7PGyplvc3csAADgQn+qPEhM\nTNShQ4ckSWfPntX06dP10EMP6cMPPyzTcAAAoGLo0ihMz9/aTrvDozXdGqVT05+Qw2p1dywAAOAi\nl10efPPNN7r++uu1YsUKSdLkyZP13nvvKTk5WePGjdPy5cvLPCQAAHC/Lo3C9Nwt7bQrPFozCqN1\nato/5LDmuTsWAABwgcsuD1577TV1795d8fHxysrK0po1azR8+HB98MEHGj58uN55553yyAkAACqA\nKxqFac4t7fRjeLRmGm10cvKjcuRmuzsWAAAoZ5ddHiQkJGjIkCHy9/fXt99+K7vdrr59+0qSunXr\npmPHjpV5SAAAUHF0PV8g7AxrrlmeMTo5cZQc2WfdHQsAAJSjyy4PzGazCs8/pmnDhg0KCwtTdHS0\nJCk1NVWBgYFlmxAAAFQ4XRuFac7N5wqE2T4ddWJ8vOxZGe6OBQAAyslllwcdOnTQwoUL9dlnn2nV\nqlXq06ePJGnPnj2aP3++OnToUOYhAQBAxdOtcZjm3NxWO0Kb65mAK3Ry3COyZ6S5OxYAACgHl10e\njB8/XklJSXr88cdVp04dPfzww5KkBx98UPn5+frnP/9Z5iEBAEDF1K1xuJ4d2FbbQ5vr2eAeOjn2\nYdnTUt0dCwAAlDHD6XQ6L/cmp9OpM2fOKDw8vOh7O3fuVMuWLeXt7V2mASuTXr16SZLWrVvn5iQA\nALjW+kOpevLDXYpLP6Ank9eo1qxX5BlR092xAACo8lz1OfSyVx5IkmEY8vLy0rp16/Tuu+8qLS1N\ngYGB8vLyKut8AACgEugRdW4FwtaQZppTs49OjnlYhckn3R0LAACUEc8/c9Nrr72mN954Q1arVYZh\nqG3btpo7d67S09O1cOFCDk0EAKAa6hEVrmcGtNWYj6TnDUOPj3lQtWa9Kq/a9dwdDQAA/EWXvfJg\n6dKlevnllzV06FAtW7ZMv+56uPvuu5WYmKh58+aVeUgAAFA5XNkkXE8PaKPNQU31fIN+OjnmQRUk\nHnV3LAAA8BdddnmwZMkSDR8+XI8++qhatWpV9P2rrrpKo0eP1pdfflmmAQEAQOVyVZMIPd2/tTYH\nNtWLjW/WybEPKf/oQXfHAgAAf8FllwcnT55Up06dir3WuHFjpaZywjIAANXdVU3PFQjfB0Tpxaa3\nKWncQ8o/lODuWAAA4E+67PKgVq1a2rFjR7HX9uzZo1q1av3lUAAAoPK7qmmEnh7QRt8HNNbcFnfq\n1LhHZNu/x92xAADAn3DZ5cFtt92m119/XW+99ZaOHj0qScrNzdWqVav0xhtv6Oabby7rjAAAoJLq\n2TRCs/u10Xd+jTWvzd1KmjBCtr073R0LAABcJsP564mHf5DT6dSUKVO0fPnyoq8Nw5Ak9evXT08/\n/bRMpj/1BMhKz1XP1wQAoLL58sBpjf/kJ3XLO6pROxapxpTnZWkb5+5YAABUeq76HHrZ5cGvjhw5\nou+//16ZmZkKCAhQx44d1axZs7LOV6lQHgAAULIv95/W+E/2qLvtF43c9pZqTJojS0wXd8cCAKBS\nc9XnUM8/e2OjRo3UqFGjsswCAACqsGuaR2qWWmv8J5IRN0zx0/6pGhOelk/H7u6OBgAALuGyy4P8\n/HwtXbpU27dvV1ZW1kXXDcPQ4sWLyyQcAACoWq5pHqmZaq0Jn0jq8qDiZzyhyLGz5XtFT3dHQzVh\nT0uVTCZ5BIe6OwoAVCqXfTjBU089pWeffVbHjh2T0+m86B+Hw1EeOQEAQBXRq3mkZvRrrfWedfRq\n1xE6PWuscr9d7e5YqOIKT59S2sszdfK+G3Xq/v7KWrFYzsJCd8cCgErjslcerFmzRiNHjlR8fHx5\n5AEAANXAtc0j5XS20qRPJePKUXp4ziRFFBbI75ob3R0NVUzh6SRlLVuonDUfy+Trr/TBo2RkZci5\n+BXlfvm5QkaMk7lle3fHBIAK77LLA5PJpJiYmPLIAgAAqpHe0TXklDT5U8m46jE99MI0OQsK5N93\noLujoQooPJ2krOVvK2f1RzL5+ivjjpH6t08rrTuYJrNnHY17/HXFfTRXp58YJr++AxU0dKQ8AoLc\nHRsAKqzLLg8GDhyoFStWqEuXLtX2kYwAAKBs9ImuIUnnViBc8089+NJMOQsKFHDT7W5OhsqqMCVJ\nWcsWKWf1hzL5+innjnj9x7+dVh1IVWRAjsb3aa4dxzM0dUuy/tZvoobm7tLZd+Yrb9PXCh42Wr7X\n3Fj0GHIAwP9c9qMabTabBg4cqMLCQrVq1Uo+Pj4XvqBhaNasWWUasrLgUY0AAPw5q/cla9JnP6mX\n5xkNX/OswoaNVsDNf3N3LFQihanJOrtskbJXfSiTj6/y+g/R/wV10CcJKQr28dL9XRpqYNva8vY0\nyel06t1tx/XS1wfVoV6wpveoJS19WbnfrJK5TaxC4sfJq15Dd78lAPhDKuyjGp977jkdOXJEPj4+\n2rVr10XXaWoBAMDl6tOihpxyavJne2X0HasH/vW0nAUFChx0n7ujoYIrTD2ts8vfVvbKc6WB/Y6H\n9F5YnD746bR809IV3yNKt8fUkcXLo+gewzB0V1w9NYv017iP92joJ4c1Z8hYNejdT+mvPqOkEYMV\neNsQBQwaKpPZ4sZ3BwAVx2WvPOjcubNuvvlmPfnkk2xb+B1WHgAA8Nes3JukKZ/vVW9Lph74YpaC\n//aAAu98gL+cwEXOlQaLlL3yA5ksPnL0v0cf1uyiZbuT5Wky6e6O9TQ4tp78vEv/u7KkLKue+HC3\njpzJ0cS+0erbJERZyxYpa/kieYRHKuSRsfKJvcJF7woALl+FXXlgt9t19dVXUxwAAIAyd13LmnJK\nmvr5Xhk3TtKwf0+Xs6BAQfc+QoEASZL9TIqyzpcGhrdZpjuG6dPa3fTuj8lypJzWXbH19LeO9RVo\n8fpDr1cz0KIFd3bQ7NX7NemzvdoXW08j73pAvj37Kv3VZ5Q6eaR8ruytkAcel0doeDm/OwCouC67\nPOjdu7e++OILde7cuTzyAACAau76ljXldErTvtgro99k/X3ZU3IW5Cv476MpEKoxe1rqudLgi//K\n8DbL6/a/a2X9Hlq6M0l5SUm6LaaO7uvcQCG+3pf92hYvD029oYVa1AzQ3K8O6kBKtmb1a6WIma8q\n96svlPGvF3XqwVsVdO8j8r/hNhkeHpd+UQCoYi67PGjXrp2ee+45JSQkKCYmRn5+fhdcNwxD8fHx\nZRYQAABUPze0qinp/AqEAdN0/wdTpPx8BT/0hAxWP1Yr9rRUZa1YrJwv/it5ecly+/1a06inFu84\npaykExrYtraGdmmoyADzX/p1DMPQ4Nh6anr+HIR7l2zRnIFtFX3NDfLp2F0Zi+cr4/U5yln3mUJH\njJd3k+gyeocAUDlc9pkH0dGl/4/SMAzt27fvL4WqrDjzAACAsvX5T6c09fN9uiEkX0M/nKyAPv0V\nMmI8BUI1YE9LVdb77yjn8/clLy/5DLhLXzftpYXbk5SabdONrWppWNeGqh3kc+kXu0xJWVY9+eFu\nHT6To/F9oovKLNu+XUqfP0sFvxyW/02DFHTPQzL5+pf5rw8Al8NVn0MvuzxAySgPAAAoe5/tOaVp\nX+zTjWGFuu+DSfLv2VehoyfL8LjsBZSoBOzpZ86XBiskD0/5DrhL37Xoo39tO6WTmVb1aVFDD3Rt\npAahvuWaw1pg19Nr9uuzn5J0Z2w9jeoZJU+TSc7CQp39+D1lLX1dJv8ABQ9/XD7derGlBoDbVNgD\nEwEAAFzpxta15JT01Bf7ZNw6Q0PenyRnYYHCHp8uw5M/ylQV9vQzOvv+EmV/vlzy8JTfzfdqS+u+\nWrA9SUe/PKKeTcL13M1t1STCNX/Tb/Hy0JTrW6hlzUC98NXPOnD6rGb3b60QX28F3nK3fLtfq4w3\n5ujM7LGyxHVVyENPyrNWXZdkAwB3+EMrD+69915NmTJFUVFRuvfee0t/QcPQ4sWLyyxgZcLKAwAA\nys8ne05p+hf71K+GdO/7E+TXsbvCxsyS4fXHTtVHxWTPSDtXGny2TDJ5yr//ndoZc73e3Jasn1Oy\ndUWjUD3UvbFa1gx0W8btieka+/EeeXuYNGdgG7X4TZa8TV8r/Y05cmRmKPDOYQq4+W7+mwTgUq76\nHPqHNgz+tl9wOp2l/uNwOMotLAAAqL76ta6liddF65Nkacnts5WzZaNSZz4hZ77N3dHwJ9gz0pSx\ncJ5O3d9f2V/8V/4D71bi9KV6zBSnJ1YeUoDFUwvu7KCXbmvv1uJAkjrUC9E793RUmJ+3hv1nuz7b\nc6roms8VPVXzteXyv2mQMpe8rqSRd8m6Z7sb0wJA+bjsMw8OHTqkqKio8spTqbHyAACA8vfx7pOa\nsTJBA+p46t7l42RpHaOwCc/JZLG4Oxr+AHtm+rmVBp8uk0wmBfQfrIOd++vNHae1PTFDrWsF6qHu\njdWpQUiFO0fAVnjuHIRP9yTpjg51NbpnE3l6/O/v4vKP/Kz0+bOVn7BLfr37KWjoo/IICnZjYgDV\nQYU9MLFz584aN26cBg4cWF6ZKi3KAwAAXOPj3Sc1fWWCBtb10r3Lx8ncrJXCp7wok0/5HqKHP8+e\nmaGz/z1fGhiG/PvdocRuA/XmjhR9fzRNTSP89XCPxureOKzClQa/5XQ6tWLnCT3/5c9qVydIs/u1\nVqif9/+uOxzKWf2RMt9+WTIMBd0/Sn7X9uMJIQDKTYXatvBbXl5eCgkJKY8sAAAAf0j/NrU1sW+0\nPjxeoCV3PCPbwQSlTB4pR262u6Phd+yZGcpYNF+n7u+n7E+Xyb/fHcqZ83+aEdhD93+wX0lZVs3u\n31pLh3RUj6jwCl0cSOfO97o9pq5euyNGR8/k6J4lW7Q3Ket/100m+V93s2q+sUKWjt2UPm+6UsY+\nqIJjh9yYGgD+usteebB8+XItWrRIDz/8sKKjo+Xre3HDX7t27TILWJmw8gAAANf6f/buMzyqcmvj\n+H9m0ntCCknoAQk1dKmKiICKdBCR3kTAwvGgggoi0vWI0kVAAUXpxaOi2ChyKBEISFGaUpKQQHpP\nZt4PSF4RkARmJgncv+vyA9l7P88KijA3a69nfdR5Jm0+SpcKrvReNQan0PIEvDELo2fRviMvkJec\nSMq6j0nd9BlYLHi078GlVt1ZFBXPN0cvEOLtwtBmFWlbrTQmY/EODG4kNiWTlzYc4rcLqYxpU5X2\nNYOvuSfzwF4S5k4hN/osnl364NVzsF6xERGrKravLdSoUYO8vLx/TIWPHDly24WVRAoPRERE7G/d\ngXNM/voYXSu503vVWBwCSxMwcY7eNS8ieSlJpKxdfjk0MJvxaN+DlDY9WHIwgf/+Eo2/hzODmlSg\nQ83gq+YFlFRZuXlM3/IrGw9G06NuGUY9UPma78uSk03y6qUkf7YYk58/vk+/iGvD5kVUsYjcaYpt\neLBu3bqb3tO5c+dbLqgkU3ggIiJSNNYeOMeUr4/RrbIHT656BQffUgS8OQeTb6miLu2ukZeSROq6\nj0nZ+BmY8/Bo352Mdj356JdENkSdx8vFkQGNy9M5IgRnB1NRl2tVFouFNfvP8dZ3v1E7xIspHWpR\n6i9zEK7IOX+GhLlTydq3C9dmrfAZ+gIO/kFFULGI3EmKbXggN6bwQEREpOis3X+OKd8co3sVL3qt\neRWTmweBk+dhKhVQ1KXd0cwpyaSs/5iUDZ+CORePR3uQ80hPlh9NZs3+c7g4GOnbqDzd65bB1enO\nCg3+bv/ZRF7acAgHk4HpHWtRI/ja12csFgsZ274h4f23sWRm4N17GB6P9cBgciiCikXkTlAsByZ+\n//33/O9//7vm6yNHjuSbb76xWlEiIiIihdWlTigvP1SVVb8ls6L7JMyZGVx4eSi5cTFFXdodyZyS\nTNLyBZwf+Bgp65bj0a4z7nPX8sk97en62VE2RJ2nX6PyrB/alL73lr/jgwOAOmV8WNa3IYEezgxd\n8TMbD56/5h6DwYDbfW0Inr8a9wcfJfGDd4gd1Y+sY4eKoGIRkYIrcHgwbtw4hg8fzpZ2Wy7QAAAg\nAElEQVQtW676emxsLHv37uXZZ5/ljTfesHqBIiIiIgXVtU4oL7W+h5XHkljR7U3MeXlceGkouTHn\nirq0O4Y5NYWkjxdwflAHUtYuxb1tJ7zmrWN19Y50WXmMFZFn6FGvDOuHNmVIs4p4ON9df6Me6OnM\ngp71eLhGEBO/Osr0LcfIyTNfc5/RwxPfp18i8D8fAnDhhQEkzJ2GOTXFzhWLiBRMgV5b2LBhAy+/\n/DKjRo2if//+ODld/Q5XXl4e8+fPZ86cObz99ts8/PDDNiu4ONNrCyIiIsXDqn1nmb7lV3pW9+OJ\n9RMgO5uAyfNwDC1X1KWVWObUFFI2riBl/SeQk4P7I11x6tibtacz+Wj376Rn59K1Tij9761w3ff9\n7zYWi4V1B84z49tfqRnsxdSO15+DAGDJyyX181UkLZuHwcUV3yH/wvW+NsX+2EoRKR6K1cyDnj17\nUq1aNcaPH/+P973wwgvExMTw8ccfW63AkkThgYiISPGx8uezzPj2V56o4U/PDW9gSU8lcNI8HMtV\nLOrSShRzWiopG66EBtm4P9wFl8592HQmm8X/O01iRg4dawUzoHEFSnvpCMK/O3A2kZc2HsJkMDCt\nY01qhnjf8N7c+Askvv8WGTu+w7nuvfgOfxnHkLJ2rFZESqJiNfPg1KlTtGzZ8qb3Pfzww5w4ceJ2\naxIRERG5bT3qlWH0g/ew4pd4Pus8HqOnNxdeHkr26eNFXVqJYE5LJWnFB5wf8BjJK5fg3ro9AQvX\ns7XxE/RY+xtvf/crjSv4sXpQY8a0CVdwcAMRf85BCPJ0ZuinP7Mh6to5CFc4+AfiP3Y6/uNnknv+\nDDHDHyfpk4VYcrLtWLGIyPUV6CW0vLw8TKabD7lxd3cnJyfntosSERERsYYe9coAMOPbXzF0fI3H\n/zuFuJefIuDNOThVDi/i6oonc3oqKRs/JXXdJ5izMvF4uAvuXfrybZyZheuOcyYxg9ZVAxnarSIV\nS7kXdbklQoCHM/N71mPGt7/y5uajHIlN4YVWVXA0Xf/v8VwbNce5dgOSP1tE8qcfkP7Dl/iOGINL\nREM7Vy4i8v8KFB5UqFCBqKgomjdv/o/3HThwgJCQEKsUJiIiImINPeqVwYKFt779DUP7sTz+5XQu\njH2agImzcK5as6jLKzbM6amkbvyMlHUfXw4N2nXGo2tftl0yMH/TKU5dTKNFmD9TO9bknkDPoi63\nxHFyMPJK23CqlfZkxpZfOR6XytQONfH3cL7u/UYXF3z6jcC9ZTsuzZlC3NincXvgYXwGj8Lk42fn\n6kVECvjaQvv27Vm6dClnzpy54T1nz55l6dKl+e9biIiIiBQXj9crywutqrD8QCwrH30Zh/KViHtl\nBFmH9xd1aUXOnJ5G8meLiR7YkaQVH+DWsh2lF67jcJsBDPjid17aeIhADyeWPFmf/3SpreDgNnWJ\nCGVBz3qcS8yg77I9HDyf9I/3O5YPI3Dq+/g+P47MyJ+IHtqV1C/XYjFfe4KDiIgtFWhgYnZ2Nj16\n9ODChQsMHjyYli1bUqZMGcxmM+fOnWPr1q0sXLgQT09PPvvsM3x8fOxRe7GjgYkiIiLF24rIM/zn\nu9/oWy+EHt+8Q85vh/Ef9w4uEQ2KujS7M6enkfr5SlLWLseckY5Hu054du/PvjRH5m0/ycHzydQJ\n9WZYi0rUL+tb1OXeceJTs3hpwyGOxCbzYuuqdKp98+7dvKREkpa8S9o3m3AKr43vyDE4Vaxih2pF\npDgrVqctAFy8eJEXX3yRHTt2XHNsjMVi4b777mPChAkEBwfbpNCSQOGBiIhI8ffJ3jO88/1v9K0f\nSo/v3iPnl/34v/Y2LvUaF3VpdmHOSCd100pS1i3DnJ6Ge5tOePXoz+FsV+ZtP8nePxKoVtqTp5tX\nonEFPx0XaEM5eWbe/vY31hw4R5eIEP794D03nIPwV5mHfiZh9hRyz/2BZ6deePUagtHVzQ4Vi0hx\nVOzCgyuOHj3K1q1biYmJwWQyERoaSvPmzalcubKtaiwxFB6IiIiUDJ/s/YN3vj9O/wZl6P7jXLL2\n7cL/lem4NmpR1KXZjDkj/c9OgyuhQUe8ug/guMWd+dtPsuPkRSr7uzOseSXuq+yv0MCO1kedZ/qW\nY1QL8mJaxxvPQfgrS04OKeuWk7ziA4zePvg+NRrXJi1tX6yIFDvFNjywlS1btjBy5EgMBgMWiwWD\nwUCbNm149913OXv2LK+99hr79+8nNDSUMWPG0KxZs/xnf/rpJ6ZMmcKZM2eoU6cOEydOpGzZ/z8T\n98MPP2Tx4sWkpaXRrl07xo0bh7Pz5f8pZ2dn8/rrr/PNN9/g4uLCwIEDGTBgQP6zN9v7rxQeiIiI\nlBwf7/mDmT8cZ0CjsnTf9j6Ze7ZR6qUpuDV9oKhLsypzZsbl0GDNMszpqbg/1AGvHgP53ejB+ztO\n8d2vcZTzdeOp5hVpXTUQo0KDInHwfBIvbTiIxQLTOtaidqh3gZ7LjT5LwvzpZO79CdfG9+Pz1Ggc\nAkvbuFoRKU7s9Tm0QAMT7eH48eO0atWKHTt2sGPHDrZv386kSZMAGD58OIGBgaxZs4YOHTowcuRI\nYmJiAIiOjmbEiBF07dqVNWvW4Ovry4gRI/LX3bx5M3PnzmXixIl89NFHHDhwgBkzZuRfnzZtGocP\nH2bZsmWMHz+e2bNn8/XXX+dfHzFixA33FhERkZLryYbleK5lZZbsPsPq+57CpekDXJzyMulbv775\nwyWAOTOD5DXLiB7YgaSlc3Ft+gDBC9eR9uTzTNh9kSeW7OZobArjHq7GZwMb0SY8SMFBEaoV4s3S\nPg0J9XHlqU9/Zu2BcwV6ziG4DP6vv0upsdPI/u0wMcO6kbxmGZbcXBtXLCJ3m2LTeTB69GhCQkIY\nNWrUVV/fuXMnI0aMYOfOnfndAgMGDKB+/fqMHDmSd999l8jISJYuXQpAZmYmzZo1Y/78+TRs2JDe\nvXvTpEmT/EAhMjKSQYMGsWvXLsxmM40bN2bRokU0aHB5UNK8efPYuXMnS5cuvenef6fOAxERkZJn\n2e4/eO/H4wy6txzddi8l48ev8Ht+HO4Pti/q0m6JOTOT1C9Wk7JmKeaUJNxbd8Dr8QHEu/rxwc5T\nfH4wBj93RwY1qUiHWsEFesde7Ccnz8zb3/3Gmv3n6FQ7hNEP3oOTQ8H+HZnTU0lavoDUTZ/hWD4M\n3xFjcK5W28YVi0hRs9fnUAebrl4IJ06cuO7rAFFRUdSoUSP/wztA/fr12b9/f/71hg0b5l9zcXGh\nevXq7Nu3j/r163Pw4EGeeeaZ/Ot16tQhJyeHo0ePYjabycvLo06dOletvWDBggLtLSIiIiVfn0bl\nAAvv/XgCQ+N+dHdy4tI7E7Dk5uLRtlNRl1dg5sxM0r5cTfLqK6HBY3g9PpBE91K887/fWRd1DA9n\nB55tGUaXiFBcHE1FXbJch6PJyMsPVaVakCfTthzjRFwq0zrVIqAAcxCMbh74Dn0B91aPcmn2ZC78\neyDu7Trj0/8ZjJ5edqheRO5kBQoPdu/eTa1atXB1dbVZIadOnWLbtm3MmzcPs9lMu3btePbZZ4mL\niyMwMPCqe0uVKkVsbCwAFy5cuOa6v78/sbGxJCcnk5WVddV1k8mEj48PMTExGAwGfHx8cHBwuGrt\nrKwsEhISbrq3iIiI3Bn6NCqPxQKztp6AJk/Qw8GRhPfexJKTjWf7HkVd3j+6HBqsuRwaJCfi3ro9\nXo8PJNUrgDm7/2DVvl9xMhkZ0rQij9crg5tTsfm7I/kHHWuHEObvzksbDtFn6R6mdaxFRAHnIDhV\nDifo7SWkfrmGpI/mkLHzB3wGj8LtgYc1CFNEblmBfvcYPnw4CxYsoH79+vTt25fx48cTFhZmtSLO\nnz9PZmYmzs7O+QMSJ02aRGZmJhkZGTg5OV11v5OTE9nZ2cDl1xRudD0zMzP/x9e7bjabr3sNLg9S\nvNneIiIicufoe295LMDsrScwNO1Od0dHEudNh5xsPDv3LuryrmHOyiTty7Ukr/4Ic1Ii7g8+itfj\nA8nwDeKDvWdYsXcnAL0bluPJBmXxdHEs4oqlsGqGePNRnwaM2XiIYZ/+zOgH76FzREiBAgCDyYRn\n+x64NW1F4sL/cOntcaR9sxHfES/jWKaC7YsXkTtOgcIDs9nMzp07KV26NLt37+b06dP/2IUQEhJS\nqCJCQkLYtWsXXl6X26nCw8Mxm82MHj2aLl26kJycfNX92dnZuLi4AODs7HzNh/ns7Gy8vLyuCgL+\nft3V1ZXc3NzrXgNwdXXF2dmZpKSkG+4tIiIid5Z+95bHgoU5W09iaNqJ7k7OJH4wE0tODl49Btx8\nATswZ2WS9tU6kld9+Gdo8Ahejw8iu1Rplv18lmWrdpKdZ6ZH3TL0bVQOHzenmy8qxZa/hzNzH6/L\nO9//xpRvjnE4NpkXH6xa4DkIJj9/Sr00GbfWj5E4bxoxI57Aq3t/vHr0x+B081chRESuKFB40KZN\nG2bPns2cOXMwGAzXHRb4V0eOHCl0IVeCgyvCwsLIysrC39+fEydOXHUtPj6egIAAAIKCgoiLi7vm\nerVq1fD19cXZ2Zn4+HgqVqwIQF5eHomJiQQEBGA2m0lMTMRsNmM0GvOfdXFxwcvLi6CgII4fP37D\nvUVEROTO0//eClgsMHfbSQzNHqH7k44kfTQHS042Xr2GFlnbtyU7i9QroUFiAm6tHsHr8YHkBYSw\n8sA5Ply7k5TMXLpEhDKgcXn8C/COvJQMjiYjL7auSniQJ1O/OcaJuDSmdaxFoGfB/x271m+C85xP\nSVn5IcmrlpD+41f4Dn8Jl7qNbVi5iNxJChQeTJo0iXbt2pGQkMCYMWN4+umnKVeunNWK2L59Oy+8\n8AJbt27NH054+PBhfH19adCgAYsXLyY7Ozu/kyAyMjL/dISIiAh+/vnn/LUyMjI4fPgwzz77LAaD\ngVq1ahEZGZk/VHHfvn04OjoSHh6OxWLBwcGB/fv3U69ePQD27t1LzZo189deuHDhDfcWERGRO9OA\nxhWAPwOE5g/RvZ8TSR/NxpKTg3e/EXYNEK6EBimrPyIv4SJuDzyCV89BEBTKhqjzLN6wk0tpObSv\nVZpBjSsQ7G27GVVStDrUCiHM34MX1x/8cw5CTeqU8Snw80ZnF7z7DMOtZTsS5kwh7tWRuN3fFp/B\nozD5+duwchG5ExQoPDCZTLRs2RK4PDyxS5culC1b1mpF1K1bF1dXV1555RVGjBjBH3/8wYwZMxgy\nZAgNGzYkODiYl19+meHDh/Pdd99x8OBBpk6dCkDXrl1ZvHgxCxcu5IEHHmD27NmULVs2Pyzo1asX\n48ePp3LlygQGBjJhwgR69OiRH1J07NiR8ePHM3nyZGJjY1myZEn+2o0aNfrHvUVEROTONaDx5Q6E\nedtPYmjeku6DHUn84B0s2Vn4DPmXzQMES3YWqZvXk7Lqwz9Dg4fxenwQhuAyfPFLDIs+/x/RSZm0\nrRbE0GYVKevrZtN6pHioEezF0r4NGbPxIMM+28cLrarQrU5oof57dCxbgYAp80n//gsSP5hJ9LBu\nePcdgcfDXTCYdAqHiFyfwWKxWG7lwa1bt7J7926Sk5PzOwRatGhxy4WcOHGCyZMns3//ftzd3enZ\nsyfDhw8H4MyZM4wdO5aoqCjKlSvHK6+8QuPG/99itW3bNiZNmkRsbCz16tXjjTfeIDQ0NP/6woUL\n+fDDD8nJyaFt27a89tpr+Z0EmZmZTJgwgc2bN+Pp6cngwYPp06dP/rM32/uv7HW+poiIiNjPop2n\nmL/9FMNbVKJb/B4S503D/ZFu+D79IgZjwd47LwxLTvbl0GDlh+QlxOPWsh1ePQdhCinHlqMXWLDj\nFH8kpNPqngCGNqtImL+H1WuQ4i83z8zMH47z2c9n6VArmBdb34OzQ+E/+OelJJG0ZDZpm9fhdE8N\nfEeOwSks3AYVi4it2OtzaKHDg+zsbIYPH8727dsxmUz4+vqSkJCA2WymcePGLFiw4JoTCu4WCg9E\nRETuTB/8dIoFOy4HCN2T9pMwaxLuD3XAd+RYq/1N7eXQYMPlToNLcbjd3xavnoNwCC3Pj8fjWbD9\nJMfj02heqRRPNa9EeJCnVfaVkm3ToWimfn2MKoEeTOtYkyDPWxvsnXX4AAlzppDzx0k8Hnsc797D\nMLq5W7laEbEFe30OLfRBv7NmzSIyMpLp06fz6KOPYjKZyM3N5fPPP2fChAnMmzeP5557zha1ioiI\niBSJwU0rYuHPGQj31aH7v17n0jsTsORk4zdqPAZTof9Ilc+Sk03aNxtJXrmEvPgLf4YGg3EoU57/\nnb7EvOV7ORKTQoNyvnzQK5yIUG/rfWNS4j1WM5gwf3dGrz9I36V7mNqxFnULMQfhCufqEQS9u5yU\nDZ+Q/PH7ZGz/Fp+n/o1r0weKbEioiBQvhe48eOCBB+jduzeDBg265tqiRYtYsWIFW7ZssVqBJYk6\nD0RERO5sC3ec4v2fTjHyvjC6Zx3j4ozXcG3WilL/nojBoXABgiUnh7QtG0n+bPHl0OC+Nnj1HIxj\nuYpEnklg/raT7D+XRK0QL55uXomG5f1s9F3JneBSWjYvbzxE1Pkk/vVAFbrXLdwchL/KvRBNwrzp\nZO7ehkvD5vg+/SIOQYU7il1E7KfYdh5cunSJ6tWrX/da9erViY2Nve2iRERERIqjIc0qYsHC7K0n\nMNxXlW5jpnJx2hguTn2ZUi9NxuB481c3L4cGm/4MDWJxa/EQXk8MwbFcRQ6dT2L+yn3s+j2B8CBP\nZnaNoGlFP/3Nr9yUn7sTc3vUYeYPx5nx7a8cjU3hpYdubQ6CQ2AwAePfIWPnDyQsmEHM093xemII\nnp17FzokE5E7R6F/9ZcrV47IyEiaNGlyzbU9e/YQHBxslcJEREREiqOhzSphscCsrScw3B9Gt1fe\nIn7yi8S/ORr/V6ZjcHK+7nOWnBzSvv38cmgQF4Nri9Z4P/EejuUqcSw2hQVro9h2Ip6KpdyZ1rEm\nD1QJUGggheJgMvLvB++hWpAnk78+xvH4VKZ3rEVpr1ubg+DapCXOdRqR/PH7JC2dR9r3X+A3YizO\nNepYuXIRKQkKPSK4Z8+eLFiwgA8++IDo6GhycnKIjo5m4cKFLFy4kK5du9qiThEREZFiY2izigxq\nUoH3fjzBasoRMP4/ZB3cS9yEUZgzM6+615KbS+rm9UQ/1ZWE2ZNxqlqT0nM+xf+lKZx1D2LMxkP0\nXrqH0xfTmPhodVb0b0SrewIVHMgte7RmMB/0qseltGz6LdvDz2cSbnkto6sbPoOfJ+jdZRhd3bnw\n4mAuvTuRvOREK1YsIiVBoWcemM1mXnvtNdasWXPVb2oWi4XOnTszefLku/Y3O808EBERuXtYLBbm\n7zjF4p2nea5lZbo5XyB+wiicqlTDf/xMDI5O/99pEHse1+at8XpiME4VKnM2MYMPfjrFl4djCPR0\nZnCTijxaozQOJusf/Sh3r4T0bMZsPMT+c0mMeqAyPeqWua0/p1vMZtI2ryNxyWwMJiM+A5/HrXX7\nu/bP/iLFRbE9qvGKEydOsHv3bpKSkvD29qZRo0aEhYVZu74SReGBiIjI3cVisTB/+0kW/+93nm9Z\nmW7ul4gb9xwOIWUxp6aQF3sO12YP4tVrCE4VKhObksmin06z8VA0Pq6ODGxcgU61Q3ByUGggtpFr\nNvPeDydYEXmGR2uU5uWHquLieHvHi+YlXCRx0UzSv/8S55r18B3xMo7lKlmpYhEprGIfHsi1FB6I\niIjcfSwWC/O2n2TJ/35n1AOV6eqZTPzEF3CuHoHXE0NwqliFi2nZfLjrNGv3n8fVyUS/RuXpXjf0\ntj/EiRTUF7/EMPnro1Qq5c70Trc+B+GvMg/sIWHOFHJjzuHZtS9ejw/C6HL764pI4Sg8KIEUHoiI\niNydLBYLc7ed5MNdlwOEJ+qXxWAwkJiRw7Ldv7Ny31kcjEZ6NyxLz/plcXfSxHqxv6OxKYxeH0VW\nrpkpj9Wkfjnf217TkpNN8qqPSF65BJNfAL7DX8S1QTMrVCsiBVVsj2oUERERkasZDAaGt6iEBXjn\n++Pk5FnIzjXz8d4/MFvgifpl6d2wHF4ujkVdqtzFwoM8WdqnIWM3/cKIlft57oHK9Kx3e3MQDI5O\nePcagtv9bUmYO5X48c/h2uxBfIa+gIN/oBWrF5GipvBARERExAoMBgMjWlTCYrEwe+sJnExGutUN\npV+j8vi5OxV1eSIA+Lo5Mat7BLN+OMF/vvuNozEpjGlz+3MQHEPLEfDmHNJ/3EziwneIGdYd775P\n4/FodwwmvZ4jciewengQExND6dKlrb2siIiISLFnMBgYeV8YEaE+hAd5EujpXNQliVzDwWhkVKsq\nhJf2ZNLmo5y8mMb0jjUJ9na9rXUNBgPuLdvh2qAZSUvnkvj+26Rt+Ry/Z8biVKW6laoXkaJS6NG+\n1apVIyoq6rrX9u7dy8MPP3zbRYmIiIiUVAaDgfsq+ys4kGLv4eqlWdSrPkkZOfRdtpe9fyRYZV2j\nhye+w18i8K0lYDETO6ofCfOmY05Ltcr6IlI0CtR5sHjxYtLT04HLA4FWrVrF1q1br7lv3759ODmp\nLU9EREREpCSoGuTJ0j4NGLvpF0au3M+zLSvzRP3bm4NwhXN4TYJmLiV100qSls8nfce3+A59AdcW\nD1llfRGxrwKFB1lZWcyePRu4nKavWrXqmnuMRiOenp48/fTT1q1QRERERERsxsfNife6RzD7xxO8\n8/1vHIlJ5pW24VY5StRgcsCzUy9cmz9I4oK3uDhtLC7fbMJ3+Es4BJexQvUiYi+FPqoxPDyclStX\nUrt2bVvVVGLpqEYRERERKck2H4lh4ldHqeDnxvROtQi5zTkIf5exe9vlVxgSL+H5+AC8uvbF4KjO\nZZHbYa/PoYWeeXD06FEFByIiIiIid6C21S7PQUjJyqXvsr3s+f2SVdd3bdSC0vNW4tGhJ8mfLCRm\nZC8yo/ZadQ8RsY1Cdx4A7Nixg++//56MjAzMZvPVCxoMTJ482WoFliTqPBARERGRO0FiRg6vbDrE\n3j8SePb+yvRqUNbqcwqyTx8nYc4Usg8fwO3BR/EZ9Dwmb1+r7iFyN7DX59BCH9W4ePFipk+fjrOz\nM35+ftf8T0TDT0RERERESjYfV0fe7RbB3K0nmfnDcY7EpvCqleYgXOFUoTKB0xaS9s1GkpbMImbX\nNrz7j8S9TQcMJqufKC8it6nQvyqXL1/OY489xqRJk3SygoiIiIjIHcrBaOTZlpUJD/Lkja+OcOpi\nGtM71iLUx3pzEAxGIx5tO+Ha+H4SF71LwuzJpKz/GO8nn8K1eWsMxkK/ZS0iNlLoX43x8fF069ZN\nwYGIiIiIyF2gTbUgFj9Zn9SsXPot28Ou09adgwBg8val1L9eJ+jd5TgEl+XitLHEPtOLjJ0/cAtv\nWYuIDRQ6PKhevTq//fabLWoREREREZFi6J5ATz7q05DwIE+eXb2f5Xv+sMmHeqfK4QS8PpPAtxZj\n9PYj/s1/EzuqHxmROxUiiBSxQr+2MHbsWJ5//nnc3NyIiIjA1fXatqWQkBCrFCciIiIiIsXD5TkI\ndZi77QTv/nCcIzHJvNq2Gq5O1puDcIVztdoETp5L5oG9JC2bS/y4Z3CqUQfvPk/jUqu+1fcTkZsr\n9GkLNWrUwGw2Y7FYbjgc8ciRI1YprqTRaQsiIiIicjf45mgsb3x1hLI+bszoZN05CH9nsVjIjNxJ\n0rJ55Bw/gnOdRnj3eRrn8Fo221OkJCm2py1MnDhRJyqIiIiIiNzFHgoPooKfO6PXR9Fv2R4mPVaT\neyv42WQvg8GAa4OmuNRvQsbOH0haPo8LLwzApVELvHs/hVNYuE32FZGrFbrzQG5MnQciIiIicjdJ\nysjh1c9/YffvlxjRIow+jcrZ/C8aLXl5pG/7huSP3yf3/B+4NnsQ795P4Viukk33FSmuim3nwZ49\ne256T8OGDW+pGBERERERKTm8XR2Z2TWCedtPMmvrCY7EpjCunW3mIFxhMJlwb9kOtxatSfvuC5I/\nWUjM8Mdxa9kO7yefwiG4jM32FrmbFbrzIDw8HIPBcNW007+ni5p5oM4DEREREbm7bDl2gTe+PEKo\ntwszOtemjA3nIPyVJSeHtK83kPzZIvISLuH+UAe8eg7CIbC0XfYXKWrFtvNg6dKl13wtPT2dvXv3\nsmHDBmbNmmWVwkREREREpORoXTWQCn5ujF5/kH7L9vBm+xo0qVjK5vsaHB3xeLQbbq3bk/bFGpJX\nfUjat5/j8XAXvHoMwOTnb/MaRO4GVp15MHfuXA4cOMCCBQustWSJos4DEREREbnbJWdenoOw6/Ql\nhrcIo68d5iD8lTkjndRNn5G8einkZuPRvgeeXfth8vaxWw0i9mSvz6FGay7WoEEDdu/ebc0lRURE\nRESkBPFyceSdLhH0u7c8s7eeYOymX0jPzrXb/kZXN7x6DCBk8UY8u/Ql9Ys1RA/qQNKy+ZhTU+xW\nh8idxqrhwXfffYe7u7s1lxQRERERkRLGZDQwvEUY0zrUZMfJiwz8OJKzCel2rcHo4Yl376cIXrQR\nj0e6kbJuGecHdiD5s8WYM+xbi8idoNAzD/r27XvN18xmMzExMZw7d44hQ4ZYpTARERERESnZWlUN\npHwpN0avO0jfZXt587EaNLXDHIS/Mnn74DPwWTw79SJ55RKSPllIyoYVeHXvh/sj3TA6u9i1HpGS\nqtCdBxaL5Zp/jEYj99xzD2+88QbPP/+8LeoUEREREZESKMzfg4/6NKB2qDfPrz7Akv+dxopj1wrM\n5OeP77DRBC9ch2vjliQumUX04E6kfL4KS06O3esRKWmsOjDxbqeBiSIiIiIi15dntvD+T6dYvPM0\nD94TwLiHq+HmVOhGaKvJjT5L0ifvk/79l5gCSuP1xGDcH3wUg6noahK5Ffb6HNu15ZIAACAASURB\nVHrL4cHWrVvZvXs3ycnJ+Pn5Ub9+fVq0aGHt+koUhQciIiIiIv/su18vMOGLI5T2duGtTrUo6+tW\npPXk/HGSpI/fJ2P7FhxCyuH15FDc7muDwWjV8XAiNlNsw4Ps7GyGDx/O9u3bMZlM+Pr6kpCQgNls\npnHjxixYsAAnJydb1VusKTwQEREREbm5k/FpjF4fRUJ6DhPb16BZJfvOQbie7BPHSFo+n8zd23As\nH4ZX72G4Nmlp12MmRW5FsT2qcdasWURGRjJ9+nSioqLYvn07Bw4cYMqUKezfv5958+bZok4RERER\nEblDVPJ358PeDYgI9WbUmgMs3lk0cxD+yimsKgHj3yHw7Q8x+vlzcdJoYp/rQ8beHUVem0hxUOjw\n4PPPP2fkyJF06NABk8kEgIODA506dWLkyJFs2rTJ6kWKiIiIiMidxdPFkbe71GZgkwrM236SlzYc\nIi07t6jLwjm8JoFvziFg6gIMLi7Ej3+OC6MHkXlgb1GXJlKkCh0eXLp0ierVq1/3WvXq1YmNjb3t\nokRERERE5M5nNBgY1rwSMzrVYtfpS/Rduoc1+8+RmlX0IYJLrfoETltIwMTZkJdL3NhhXBj7NFlH\nooq6NJEiUejwoFy5ckRGRl732p49ewgODr7tokRERERE5O7RskoAH/ZpQHk/d6ZvOcYj83bw5uYj\n/BKdXKSvDBgMBlzqNSbwPx/h/+pbmJMSuPDvgcSNf47s40eLrC6RolDoc0h69uzJ1KlTcXFx4dFH\nH8Xf35/4+Hg+//xzFi5cyMiRI21Rp4iIiIiI3MEqlnLnP11qE5uSycaoaNYfPM+GqGiqBnrQOSKU\nttWC8HAummMUDQYDrk1a4nLvfWRs30LSxwuIfa43rk0fwOvJp3CqULlI6hKxp0KftmA2m3nttddY\ns2bNVZNHLRYLnTt3ZvLkyXftRFKdtiAiIiIiYh15Zgs7T11k7YHz7DgZj7ODiTbVAulcO5TqpT2L\n9DOHJS+X9O+/IumTheRdOI/b/W3x6jUUx9ByRVaT3L2K7VGNV5w4cYLdu3eTlJSEt7c3jRo1Iiws\nzNr1lSgKD0RERERErO+v3QgXUrKKRTcCgCUnh7QtG0lesYi8hIu4t26P1xODcQjUq9xiP8U2PMjM\nzMTFxeWqrx05coRq1apZtbCSSOGBiIiIiIjt5Jkt/HTqIuv+1o3QJSKUakFF141gyc4i9cu1JK9c\ngjk1GY92nfHqMRBTqYAiqUfuLvb6HFrggYnHjh2ja9euLFmy5KqvJycn07VrVzp27MipU6esXqCI\niIiIiAiAyWigRZg//+lSmw1Dm9KnYTl2nrpEv2V76bN0D2v3nyuS4x4NTs54dnyC4EUb8O49jPQf\nNhM9uBOJH8wkLynB7vWI2EKBwoOzZ8/St29f4uPjqVix4lXXHB0defHFF0lMTKRXr146qlFERERE\nRGyutJcLQ5pVZOPQpvynS20CPV2YtuUYD8/dwaTNRzkck2z3mowurnh170/w4o14du9H6lfriB7Y\ngaSlczGn2L8eEWsq0GsL48aNY9euXaxYsQI/P7/r3hMXF0f37t1p1aoV48aNs3qhJYFeWxARERER\nKToxyZlsOvj/sxHCgzzpXDuEttWDcHey/2yEvOREUtYuJ3Xjp+DggGeX3nh2eAKjm7vda5E7V7F6\nbWHnzp0MHjz4hsEBQEBAAAMHDmTHjh1WK05ERERERKSgrnQjbBjahP90qY2/h1ORdiOYvHzw6T+S\n4EUbcG/9GMkrFhE9qAPJa5Zhzsy0ay0it6tA8duFCxeoUKHCTe+75557iImJud2aREREREREbpmD\n0UiLMH9ahPlf1Y2wPup8kXQjmHxL4Tv0BTw7P0nyZ4tJ+mg2KeuW4/X4QDzadcbg6GSXOkRuR4E6\nD/z8/Lhw4cJN70tISMDb2/u2ixIREREREbGGm3UjHLFjN4JDQGn8Ro4leMEaXOo1IfH9t4ke0pnU\nzeux5Np/0KNIYRQoPGjYsCFr16696X3r16+nevXqt12UiIiIiIiINV3pRninSwQbhjald8Oy/HTy\nIn2vnNRwwH4nNTgEl6HUv16n9NyVOFWrTcJ7bxIzrBtp332BJS/PLjWIFFaBwoM+ffqwa9cupk6d\nSlZW1jXXs7OzmT59Olu3buXJJ5+0epEiIiIiIiLWUtrLhaHNKrHhqSa83fnPboRvjvHI3B1MtmM3\ngmPZCvi/NIWg2StwLB/GpbfHETOiJ+nbt2Axm+1Sg0hBFei0BYCPP/6YyZMn4+XlRZMmTShTpgx5\neXmcP3+eXbt2kZCQwHPPPcewYcNsXXOxpdMWRERERERKppjkTDYePM+GqGgupP55UkNECG2r2W82\nQtaxQyQvX0DmzztxDKuKd++ncWnYDIPBYJf9pWSy1+fQAocHAJGRkSxatIgdO3bkdyC4u7vTvHlz\nBg4cSEREhM0KLQkUHoiIiIiIlGy5ZjM/nbzEuqhz/HTyIi4OJtpWC6JzRAjVSnvZpYasQ/tIWjaP\nrEM/4xReC+8+T+Mc0VAhglxXsQwP/urSpUs4ODjg5WWfX0AlgcIDEREREZE7x9+7EaoFedLJTt0I\nFouFrP27SFo6j+xff8G5Vv3LIUKNOjbdV0qeYh8eyLUUHoiIiIiI3Hlu1I3QpU4o4UGeNt3bYrGQ\nuWc7SUvnkXPqV1zqN8W7zzCcqmhQvVxmr8+h9nl5R0REREREpIRyMBq5r7I/91X2v6obYV3Uear9\nORuhjY26EQwGA66NWuDSoBkZO74jafl8Yp/vi2uTlnj1HoZThcpW31PketR5YEXqPBARERERuTvk\ndyMcOMdPp+zXjWDJyyP9x69I+vh98mLP49biIbyeHIpjmQo221OKN722UAIpPBARERERufvEJGey\nIeo8Gw/+ORuhtCeda9uuGwHAkptL2pZNJK/4gLxLcbi1ehTvJwbjUDrUJvtJ8aXwoARSeCAiIiIi\ncve6XjdCu+pBdI6wXTeCJTuL1K/WkfzZEswpibi37YTX4wNx8A+yyX5S/Cg8KIEUHoiIiIiICNy4\nG6FttSDcbNCNYM7MJPW/K0lZ9RHmzAw8Hu2GV/f+mHz8rL6XFC8KD0oghQciIiIiIvJXuWYzO05e\nZP2B8+w4eRFXx8vdCF0iQqlqg24Ec3oqKetXkLJuOeTl4dHxCTy79Mbk6W31vaR4UHhQAik8EBER\nERGRG7FnN0JeShIpa5eTumEFmEx4du6NZ6cnMLp5WHUfKXoKD0oghQciIiIiInIzf+9GcHMy0a5a\naTpHhFi9GyEv8RLJqz4k9b+rMbq44tmtLx7te2B0cbXqPlJ0FB6UQAoPRERERESkMK50I2w4eJ64\n1GyqlfakS0QobcIDrdqNkBt/geTPFpP29XqMHt54PT4Aj3adMTg5W20PKRoKD0oghQciIiIiInIr\nrnQjrDtwnp9s2I2QG3OO5E8/IO3b/2LyC8Cr5yDcH+qAwcE2R0qK7Sk8KIEUHoiIiIiIyO36ezdC\n9dKedLZyN0LO2dMkf7KQ9K1fYwoKwbvXENxaPozBZLLK+mI/Cg9KIIUHIiIiIiJiLfboRsg+fZzk\n5QvI2Pk9DmUq4N37KVybPYjBaLTK+mJ7Cg9KIIUHIiIiIiJiC9FJGWw4GM3Gv3QjdIkI5SErdSNk\n/3aYpOXzydz7E44V78G7zzBcGrXAYDBYoXqxJYUHJZDCAxERERERsaVcs5kdJy6yLso23QhZh/eT\ntHQeWQcjcbqnBt59n8a5zr0KEYoxhQclkMIDERERERGxF1t1I1gsFrIO7CFp2Tyyjx7EuWY9vPoM\nw6VmPStWL9ai8KAEUnggIiIiIiL2dt1uhOql6Vz79roRLBYLmXt2kLRsLjknf8W7z9N49RxkxcrF\nGuz1OVTncYiIiIiIiJRgDkYj91cJ4P4qAVd1I6zZf44awV50rh1yS90IBoMB10bNcWnQlOQVC0la\nNg+jbyk82nay0XcixZnCAxERERERkTtEsLcrw5pXYnDTCuw4cZG1B84zafNR3vn+t1vuRjAYjXj1\nGoo5KZGE2ZMxefvi2vh+G30HUlwpPBAREREREbnD/L0bYf3BaDZGXd2N0CY8CFcnU4HWMxgM+Dz1\nb/IS4rk4bSwBk+biXD3Cxt+FFCc6vFNEREREROQOFuztytPNK7FpWFPe6lQLbxdHJm0+ysPztjP1\nm2P8eiGlQOsYTCZKjX4Tp3tqED9hFDl/nLRx5VKcaGCiFWlgooiIiIiIlAR/7UaIT8umRrAXXSJC\neKjqzbsRzKkpXHhpCObUFALfXoyDf5Cdqpbrsdfn0GLXeTB06FDGjBmT/+NDhw7Rs2dP6tatS8+e\nPTlw4MBV9//000889thj1KlTh/79+3PmzJmrrn/44Yfcd9991K9fn1deeYWsrKz8a9nZ2YwdO5aG\nDRvSokULlixZctWzZ8+eZcCAAdStW5f27duzY8cOG3zHIiIiIiIi9vXXboQZf3YjvPnV5W6EaTfp\nRjB6eOI/4T0wGIgb9wzmlGQ7Vi5FpViFB//973/ZunVr/o8vXbrEgAEDqFq1KmvXrqVdu3YMGDCA\nmJgYAKKjoxkxYgRdu3ZlzZo1+Pr6MmLEiPznN2/ezNy5c5k4cSIfffQRBw4cYMaMGfnXp02bxuHD\nh1m2bBnjx49n9uzZfP311/nXR4wYQWBgIGvWrKFDhw6MHDkyf28REREREZGSzsFopGWVAN7tFsH6\noU14vH5Zfvgtjic/2kP/5XvZePA8Gdl51z7nH0jAxNmYL10kbuK/MGdlFkH1Yk/FJjxISkpixowZ\n1K5dO/9r69atw9fXl9dff52KFSvSv39/6tevz4oVKwBYuXIltWrVon///oSFhTFlyhTOnTvHnj17\nAFi2bBn9+vXj/vvvp2bNmkyYMIHVq1eTlZVFRkYGq1ev5tVXXyU8PJzWrVszePBgli9fDsDOnTs5\nc+YMb7zxBpUqVWLo0KHUqVOH1atX2/8nR0RERERExMZCbtKNkJyZc9X9jmUr4P/6THKOH+HSjFex\n5OUWUeViD8UmPJg2bRodO3YkLCws/2tnz56lRo0aGAyG/K9VrVqVffv2ARAVFUXDhg3zr7m4uFC9\nenX27duH2Wzm4MGDNGjQIP96nTp1yMnJ4ejRoxw9epS8vDzq1KmTf71+/fpERUXlr12jRg2cnZ2v\nur5//37rf/MiIiIiIiLFxPW6Eb48HMOcrSeuudc5vBalXp5Gxq5tJMydhkbq3bmKRXiwc+dOIiMj\nr3rlAKBUqVLExsZe9bXo6GgSEhIAuHDhAoGBgVdd9/f3JzY2luTkZLKysq66bjKZ8PHxISYmhri4\nOHx8fHBw+P/TKkuVKkVWVhYJCQnExcVds/b16hEREREREblTXelGGNSkIhsORnMmIf2ae1wbNcf3\n2VdI+2odySsWFkGVYg9FHh5kZ2fz+uuvM378eJycnK661rZtW6Kioli1ahV5eXls27aN7777jpyc\ny+0ymZmZ1zzj5OREdnY2mZmZ+T++3vWMjIzrXrtS042uZ2dn3/43LSIiIiIiUoJ0rxtKKTcnFuw4\ndd3rHg91wLvvcJI/fp/UL9fYuTqxhyIPD2bNmkXNmjVp2rTpNdeqVKnCxIkTmTJlCrVr12bmzJn0\n6tULDw8PAJydna/5MJ+dnY2Li8tVQcDfr7u6ut7wWeAfr7u4uNzeNywiIiIiIlLCuDiaGNS0Al8f\nieW3C6nXvcezxwA82vcgYe400nf+YN8CxeaKPDz44osv+Pbbb6lbty5169Zl06ZNbNq0iXr16gHQ\nuXNnIiMj+fHHH1mz5nKCFRoaCkBQUBBxcXFXrRcfH09AQAC+vr44OzsTHx+ffy0vL4/ExEQCAgII\nCgoiMTERs9l81bMuLi54eXn949oiIiIiIiJ3mw41gynj48rc7dfOPgAwGAz4DH0B16atuDhtLFm/\naF7cnaTIw4Ply5ezadMmNm7cyMaNG2nVqhWtWrViw4YN7Nq1i3/9618YDAb8/f2xWCxs3bqVxo0b\nAxAREcHPP/+cv1ZGRgaHDx+mbt26GAwGatWqRWRkZP71ffv24ejoSHh4ONWqVcPBweGqAYh79+6l\nZs2a+WsfPnz4qu6DyMjIqwYsioiIiIiI3C0cTEaGNa/E9hMXOXA28br3GEwmSr0wAefwWsRNGEX2\n6eN2rlJspcjDg+DgYMqWLZv/j7u7O+7u7pQtW5YKFSrw/fff8+mnn3LmzBkmTJhASkoKnTp1AqBr\n1678/PPPLFy4kOPHjzNmzBjKli2bfwJDr169WLRoEVu2bCEqKooJEybQo0cPnJ2dcXFxoWPHjowf\nP56DBw+yZcsWlixZQr9+/QBo1KgRwcHBvPzyyxw/fpz333+fgwcP0q1btyL7uRIRERERESlKrcMD\nqRLgwZxtJ294soLByRn/197GITCY+HHPknshxs5Vii0UeXjwT4KCgpg5cyZLly6lQ4cO/P777yxZ\nsgRXV1fg8usLs2bNYs2aNXTv3p2UlBTmzJmT//wjjzzC0KFDGT9+PIMHD6ZOnTr8+9//zr8+ZswY\natasSb9+/Zg4cSLPPfccrVu3BsBoNDJ37lzi4uLo2rUrmzZtYs6cOZQuXdq+PwkiIiIiIiLFhNFg\nYHiLSuw7m8jO05dufJ+7BwFvvAcmE3HjniEvJcmOVYotGCw6iNNqHnzwQQC+/fbbIq5ERERERETE\nNiwWC0NW/ExmTh5L+zbEaDDc8N6cs6e5MHoQDqHlCXhzLkYNoLc6e30OLdadByIiIiIiIlK8GAwG\nRtwXxrELqXx77MI/3utYpgL+498l5+SvXJw2Bkterp2qFGtTeCAiIiIiIiKFUreMD00rlmL+9lPk\n/uUEu+txDq9JqbHTyNz7Ewlzpt5wVoIUbwoPREREREREpNCGt6jEHwnpfH7o5gMRXRs0w++510jb\nvJ7k5QvsUJ1Ym8IDERERERERKbSqQZ48FB7Iwp9OkZWbd9P73Vu3x7v/SJI//YDU/662Q4ViTQoP\nRERERERE5JYMa16Ji6nZrNl/rkD3e3brh0fHJ0iYN430Hd/ZuDqxJoUHIiIiIiIickvK+brxWK1g\nlvzvd9Kybz4M0WAw4DN4FK4tWnNxxqtkHoy0Q5ViDQoPRERERERE5JYNblqB9Ow8PtlzpkD3G4xG\nSv1rAs7V6xA/8QWyTx+3cYViDQoPRERERERE5JYFebrQvW4oH+/9g8T07AI9Y3B0wv/V6TiUDiV+\n3DPkXoi2cZVyuxQeiIiIiIiIyG3pf295AJbs+r3AzxjdPAh4/V1wcCLutZHkJSfaqjyxAoUHIiIi\nIiIiclt83Jx4skE5Vu87R0xyZoGfM/n5EzBxFuaUZOInjMKcmWHDKuV2KDwQERERERGR29arYVnc\nnEx8sPNUoZ5zDC1HwIR3yTl9nItTx2DJvfngRbE/hQciIiIiIiJy29ydHBjQuDyfH4zh90vphXrW\nqUp1So2dTubPO0mYPQmLxWKjKuVWKTwQERERERERq+haJxR/Dyfmbz9Z6Gdd6zfB7/nxpH2ziaSl\nc21QndwOhQciIiIiIiJiFc4OJoY0rciWYxc4GptS6OfdWz2C98DnSFm5hJSNn9qgQrlVCg9ERERE\nRETEah6tWZryfm7M21b47gMAr6598Oj8JInvv036ti1Wrk5ulcIDERERERERsRoHo5FhzSvx06mL\n7Dt7a8cv+gx8Drf723LxrdfIPLDXyhXKrVB4ICIiIiIiIlbV6p4AwoM8mbP1xC0NPzQYjfg9Px7n\nWvWIf/MFsk/+aoMqpTAUHoiIiIiIiIhVGQ0GhreoxIFzSew4efGW1jA4OuI/djoOIeWIG/cMubHn\nrVylFIbCAxEREREREbG6xhX8qFfWh7nbTmK+xaMXjW7uBLw+E6OLK3GvjSQvKcHKVUpBKTwQERER\nERERqzMYDAxvEcZvcal8czT2ltcx+ZYiYOJszGmpxL/+PObMDCtWKQWl8EBERERERERsIiLUm+Zh\npZi//RS5eeZbXschuAwBE94j58wpLk55CUturhWrlIJQeCAiIiIiIiI2M7x5GOcSM9h4MPq21nGq\nHI7/K9PJ3L+bS++9eUuDGOXWKTwQERERERERm6kS6EGbakF8sPMUmTl5t7WWS93G+I16nfRvPyfp\nw9lWqlAKQuGBiIiIiIiI2NSwZhW5lJ7Dqn1nb3st95bt8Bk8ipTVH5GyYYUVqpOCUHggIiIiIiIi\nNlXG141OtUL4aNfvpGbd/rwCz85P4tm1D4nvv036j5utUKHcjMIDERERERERsblBTSuQmWtm+Z4/\nrLKed/9ncGv1CBf/M57M/butsqbcmMIDERERERERsbkAD2cer1eGT/ae4VJa9m2vZzAa8XtuHC61\nGxL/5miyTxy1QpVyIwoPRERERERExC76NiqPyWhgya7TVlnP4OBAqbHTcCxbnrhxz5EbffszFeT6\nFB6IiIiIiIiIXXi7OtKnYTnW7D9HdFKGVdY0urrh//q7GN3ciBv3DHmJl6yyrlxN4YGIiIiIiIjY\nTc/6ZfB0dmDhT6ettqbJ25eAN2ZhTk8n7vXnMWekW21tuUzhgYiIiIiIiNiNm5MDA5tU4L+/RHPq\nYprV1nUILkPAG++Se/Z3Lk5+EUtOjtXWFoUHIiIiIiIiYmeda4cS5OnC/O0nrbquU1g4/q+9RWbU\nXi69+wYWs9mq69/NFB6IiIiIiIiIXTk5GBnSrCLf/RrH4Zhkq67tEtGQUi+8QfoPX5G0ZJZV176b\nKTwQERERERERu3ukemkqlnJj7tYTVl/b7b42+Ax9gZS1y0hZt9zq69+NFB6IiIiIiIiI3ZmMBoY1\nr8Su3xPY+0eC1df37NATz+79SfxgJmk/fGX19e82Cg9ERERERESkSDxQJYDqpT2Zu/UEFovF6ut7\n9xuB24PtufTO62Tu+5/V17+bKDwQERERERGRImEwGBjeIoyD0clsPRFvk/X9nn0Vlzr3Ej/pRbJ/\nO2L1Pe4WCg9ERERERESkyNxbwY8G5XyZt+0keWbrdx8YHBwoNWYqjuUqETf+WXLOn7H6HncDhQci\nIiIiIiJSpEa0qMSJ+DQ2H4m1yfpGF1f8x8/E6OFJ3GsjyUu4aJN97mQKD0RERERERKRI1QzxpmVl\nfxbsOElOntkme5i8fQiYOBtLdhZx45/DnJ5mk33uVAoPREREREREpMgNa1GJ6KRM1kedt9keDkEh\nBLwxi9zoM8RPGo0lJ8dme91pFB6IiIiIiIhIkQvz9+CRGqVZtPM0Gdl5NtvHqWIV/F97m6xD+7j0\nzutYzLbpdLjTKDwQERERERGRYmFI04okZeTw2T7bDjV0qd2AUqMnkr71axIXzbTJMZF3GoUHIiIi\nIiIiUiyE+rjSOSKEpbv+IDnTtq8UuDVvjc+w0aSu/4SUtcttutedQOGBiIiIiIiIFBsDG1cgx2xm\n2e4/bL6XZ/seeD0+kKTF75L23X9tvl9JpvBAREREREREig1/D2d61ivLpz+f4f/au/e4KOu8/+Pv\n4TR4QpCTZKhAJSgoeExNLXNrNzU3TbfcWg9ruImrd0dFTUS321XLymNprpq2d666lZbdurYHT5iK\nByjWNjziAQQU8QAMh+v3R7fzi9TJAzMX4Ov5ePCome9c8/185/MYdd5857ryLpY4fT6fZ59XvZ89\nrrNvT1XRnh1On6+mIjwAAAAAAFQrz3ZsKk83Ny3deczpc1ksFvn9foK823VR/vRxKvnPN06fsyYi\nPAAAAAAAVCs+3p76Taem+uuBkzpZUOT0+SzuHvIfN12eze9VXtJYlZ50/lcmahrCAwAAAABAtfNU\n21A1rOOpxTuOuGQ+N29vBSTNlpuPr3Jf+73Kz+a5ZN6agvAAAAAAAFDteHu667edm2vDN9k6lHfR\nJXO6+/gqcNo8qcym3KQxqrjsmnlrAsIDAAAAAEC19MvWdymkobfe3XrYZXN6BDVWwNS5Kss5pbw/\nvCKj1OayuaszwgMAAAAAQLXk6e6mkV3D9c/MPH196rzL5vVqfo8CJs9WScYB5b+ZJKOiwmVzV1eE\nBwAAAACAauvRqGCFB9TTfBfuPpAk7+i28n/lDyra/qUKFs+WYRgunb+6ITwAAAAAAFRb7m4WjXog\nXHuOn9NXR8+6dO66XXvK7/lXdXHdR7qwZrlL565uPMwuAAAAAAAAR7rfE6CYEB8t2HpIHZv5yWKx\nuGzu+o89qfKz+Tq/bJ7c/QJUr1cfl81dnbDzAAAAAABQrVksFo3qHqGM7Av6x3e5Lp/f59fxqvfo\nEzr7zjQV7d7m8vmrA8IDAAAAAEC1176pnzo189O72w6rvMK15x+wWCzySxgn7w5dlT99vEoOfu3S\n+asDwgMAAAAAQI0wqnuEjuRf1hcZ2S6f2+LuIf9x/y3PiBbKSx6r0hNHXV6DmQgPAAAAAAA1QsvG\nPup5X6AWbT8iW5nrL5/oZvVWwOTZcvP1V+5rv1d5vuu/QmEWwgMAAAAAQI3xuwfClXOhWB+nnTRl\nfvcGDRU4dY5UUaHcpDGquHTRlDpcjfAAAAAAAFBjhPnXU+9WIfpTylFdtpWZUoNHYGMFTp2jsjPZ\nypv2kgxbiSl1uBLhAQAAAACgRonvGqYLJWX6KPWEaTV4NotQ4JS3ZPv2a+W/MVlGeblptbgC4QEA\nAAAAoEZp7OOtAbFNtGL3cZ0vKjWtDmvLWPm/+rqKUv6hgkVvyDBcexUIVyI8AAAAAADUOMM6NVd5\nhaEPdh0ztY46nR+UX0KiLn62Whf+stTUWpyJ8AAAAAAAUOM0quelp9uHatXeE8q9aO45B+r//An5\n/Hqkzn+wQBc3fWpqLc5CeAAAAAAAqJGe7dBU3h5uWrLjqNmlyOfpEar3i/46N/e/VbRrq9nlVDnC\nAwAAAABAjVTf6qEhnZrpk/RTOnHusqm1WCwW+T0/TnU6dVf+H8er5N9pZLVV6gAAIABJREFUptZT\n1QgPAAAAAAA11sC4u9Worqfe3X7E7FJkcXeX/6t/kNc9LZWX/IJKj5tfU1UhPAAAAAAA1Fjenu4a\n0TlMm/6do+/OXDS7HFm8rAqYPFvujQKUO3m0yvLOmF1SlSA8AAAAAADUaI/HhOhu3zpauO2w2aVI\nktzqN1DA1DmSpLzJv1fFxQsmV3T7CA8AAAAAADWah7ubRj4Qpq2H8nTg5Hmzy5EkeQQEK3DqPJWf\nzVPetJdk2My9IsTtIjwAAAAAANR4P4sM1r2B9bVg6yEZhmF2OZIkz6ZhCkh6S7bvvlH+rEkyysvN\nLumWER4AAAAAAGo8N4tFo7qFa29WgXYePWt2OXbWqNbyHzddRTu36Ny7M6tNsHGzCA8AAAAAALVC\n13B/tWnSUAu2HlZFNfqQXqdTd/mNTtSlDWtV+NESs8u5JYQHAAAAAIBawfJ/uw8O5lzQ3/+Ta3Y5\nldR/9Jdq+OzzKlz5ri7+78dml3PTCA8AAAAAALVG21A/dQ5rpHe3HVZZRYXZ5VTS4FfDVb/PQJ2b\nP11FO/9ldjk3hfAAAAAAAFCrJHSL0LGzl/X519lml1KJxWKRb/zLqtP5IeXPmKCSjP1ml3TDCA8A\nAAAAALVKi+AG6tUiSIt2HFFJWfW6woHF3V3+L0+VV4tWykt+UaXHDpld0g2pduFBfHy8EhMT7bf3\n7Nmj/v37Ky4uTk888YRSUlIqPX7Hjh3q27evYmNjNXToUGVlZVUaX7Zsmbp376527dpp4sSJKin5\n/9fWtNlsmjBhgjp06KBu3bpp6dKllY49ceKEhg0bpri4OPXp00fbt293wooBAAAAAFXtdw+EK/+i\nTWv3nzS7lKtYvKwKeG223AODlTt5jMrycswu6SdVq/Dg888/15YtW+y3z549q+eff159+/bV+vXr\n9fOf/1yjRo1STs73L+zp06eVkJCgAQMGaO3atfLz81NCQoL9+I0bN2rBggWaNm2ali9frgMHDmjW\nrFn28RkzZigjI0MrVqxQUlKS5s2bp02bNtnHExISFBQUpLVr1+rxxx/X6NGjlZ1dvba9AAAAAACu\n1qxRXfWJaaylO4/pkq3M7HKu4lavvgKT50hubsqd/HtVXCg0uySHqk14cP78ec2aNUutW7e237d3\n7155eHho2LBhuvvuuzVy5Eh5eXnpwIEDkqTVq1crJiZGQ4cOVUREhKZPn66TJ09q9+7dkqQVK1Zo\nyJAh6tGjh6Kjo5WcnKw1a9aopKRERUVFWrNmjSZNmqTIyEj16tVLI0aM0MqVKyVJKSkpysrK0tSp\nUxUeHq74+HjFxsZqzZo1rn9xAAAAAAA37bkuYbpsK9ef92T99INN4O4fqMBpc1VxLl+5015URUmx\n2SVdV7UJD2bMmKF+/fopIiLCfp+vr68KCgr0t7/9TZK0efNmXb58WS1atJAkHThwQB06dLA/3tvb\nWy1bttS+fftUUVGh9PR0tW/f3j4eGxur0tJSHTx4UAcPHlR5ebliY2Pt4+3atVNaWpokKS0tTa1a\ntZLVaq00vn9/zTmhBQAAAADcyYIbeOvJuCb6cPdxFVy2mV3ONXne3VwBSe+oNPOgzs6cKKO8+u2S\nkKpJeJCSkqLU1NRKXzmQpPbt22vw4MEaM2aMWrVqpd///veaNm2amjVrJkk6c+aMgoKCKh0TEBCg\nnJwcFRYWqqSkpNK4u7u7fH19lZ2drdzcXPn6+srDw8M+7u/vr5KSEp07d065ublXPbe/v7/9KxMA\nAAAAgOpvWKfvPz8u++qYyZVcnzUyWv7j/6iiXdt0bsEMGYZhdklXMT08sNlsmjJlipKSkuTl5VVp\n7NKlS8rKytKYMWO0Zs0a/e53v9O0adN05MgRSVJxcfFVx3h5eclms6m4uNh++1rjRUVF1xy7UtP1\nxm226plWAQAAAACu5lvXS79u31Sr951UzoXq+7WAOh0fUKMxk3Tpfz9W4Z8XmV3OVUwPD+bOnavo\n6Gh16dLlqrHFixdLkp5//nlFRUVp7NixatOmjT744ANJktVqverDvM1mk7e3d6Ug4MfjderUue6x\nkhyOe3t738ZqAQAAAACuNrhDqOp6uev9HUfNLsWhej/rq4ZDRqvwz4t1cUP1Ot+ex08/xLk2bNig\n/Px8xcXFSZJKS0slfX+lhA4dOigyMrLS46OiopSZmSlJCg4OVm5ubqXxvLw8RUVFyc/PT1arVXl5\neQoLC5MklZeXq6CgQIGBgaqoqFBBQYEqKirk5uZmP9bb21s+Pj4KDg62z/PD5w4MDKz6FwEAAAAA\n4DT1vDw0tFMzzf3XIT3ToamaNaprdknX1WDgEJWfzdW5hTPl5uuvul0eMrskSdVg58HKlSu1fv16\nrVu3TuvWrVPPnj3Vs2dPffrppwoMDLzqA/zhw4d19913S5LatGmjvXv32seKioqUkZGhuLg4WSwW\nxcTEKDU11T6+b98+eXp6KjIyUlFRUfLw8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      "text/plain": [
       "<matplotlib.figure.Figure at 0x11ac3ceb8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,9))\n",
    "plt.plot(rpt_by_year_df['year'], rpt_by_year_df['count'], label='RPT_DT')\n",
    "plt.plot(cmplnt_fr_dt_by_year_df['year'], cmplnt_fr_dt_by_year_df['count'], label='CMPLNT_FR_DT')\n",
    "plt.legend(loc='best')\n",
    "plt.xticks(np.arange(2006,2016,1), map(str, np.arange(2006,2016,1)))\n",
    "plt.title(\"Crime over Years\")\n",
    "plt.xlabel('Year')\n",
    "plt.ylabel('Count of Crimes')\n",
    "plt.legend(loc='best')\n",
    "plt.savefig('plots/crime_over_year.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# only look at years from 2006\n",
    "rpt_dt_by_month_year = data.filter(lambda x: len(x[RPT_DT])>0) \\\n",
    "              .map(lambda x: (x[RPT_DT].split('/')[0], x[RPT_DT].split('/')[2])) \\\n",
    "              .countByValue()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>month</th>\n",
       "      <th>year</th>\n",
       "      <th>count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>06</td>\n",
       "      <td>2006</td>\n",
       "      <td>46199</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>06</td>\n",
       "      <td>2010</td>\n",
       "      <td>44673</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>10</td>\n",
       "      <td>2007</td>\n",
       "      <td>48660</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>11</td>\n",
       "      <td>2010</td>\n",
       "      <td>41700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>08</td>\n",
       "      <td>2014</td>\n",
       "      <td>44626</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>11</td>\n",
       "      <td>2006</td>\n",
       "      <td>43818</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>11</td>\n",
       "      <td>2008</td>\n",
       "      <td>40923</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>03</td>\n",
       "      <td>2014</td>\n",
       "      <td>40895</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>04</td>\n",
       "      <td>2015</td>\n",
       "      <td>39846</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>09</td>\n",
       "      <td>2015</td>\n",
       "      <td>41942</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>06</td>\n",
       "      <td>2009</td>\n",
       "      <td>43343</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>09</td>\n",
       "      <td>2006</td>\n",
       "      <td>45606</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>09</td>\n",
       "      <td>2010</td>\n",
       "      <td>44276</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>08</td>\n",
       "      <td>2006</td>\n",
       "      <td>47729</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>11</td>\n",
       "      <td>2015</td>\n",
       "      <td>38995</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>09</td>\n",
       "      <td>2007</td>\n",
       "      <td>46859</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>10</td>\n",
       "      <td>2014</td>\n",
       "      <td>44281</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>07</td>\n",
       "      <td>2014</td>\n",
       "      <td>44913</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>04</td>\n",
       "      <td>2010</td>\n",
       "      <td>43054</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>11</td>\n",
       "      <td>2007</td>\n",
       "      <td>42811</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>02</td>\n",
       "      <td>2008</td>\n",
       "      <td>39592</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>10</td>\n",
       "      <td>2006</td>\n",
       "      <td>46919</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>12</td>\n",
       "      <td>2011</td>\n",
       "      <td>40387</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>01</td>\n",
       "      <td>2014</td>\n",
       "      <td>38884</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>06</td>\n",
       "      <td>2011</td>\n",
       "      <td>43955</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>12</td>\n",
       "      <td>2007</td>\n",
       "      <td>42063</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>02</td>\n",
       "      <td>2007</td>\n",
       "      <td>37062</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>10</td>\n",
       "      <td>2008</td>\n",
       "      <td>45859</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>11</td>\n",
       "      <td>2014</td>\n",
       "      <td>37805</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>09</td>\n",
       "      <td>2012</td>\n",
       "      <td>42602</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>09</td>\n",
       "      <td>2008</td>\n",
       "      <td>45160</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>07</td>\n",
       "      <td>2015</td>\n",
       "      <td>44379</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>05</td>\n",
       "      <td>2011</td>\n",
       "      <td>43835</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>06</td>\n",
       "      <td>2012</td>\n",
       "      <td>43204</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>07</td>\n",
       "      <td>2009</td>\n",
       "      <td>45468</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>10</td>\n",
       "      <td>2009</td>\n",
       "      <td>44785</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>04</td>\n",
       "      <td>2011</td>\n",
       "      <td>41165</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>05</td>\n",
       "      <td>2008</td>\n",
       "      <td>45393</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>10</td>\n",
       "      <td>2012</td>\n",
       "      <td>41906</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>12</td>\n",
       "      <td>2013</td>\n",
       "      <td>39686</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>01</td>\n",
       "      <td>2015</td>\n",
       "      <td>34533</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>08</td>\n",
       "      <td>2007</td>\n",
       "      <td>47774</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>12</td>\n",
       "      <td>2006</td>\n",
       "      <td>42703</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>01</td>\n",
       "      <td>2011</td>\n",
       "      <td>38185</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>02</td>\n",
       "      <td>2006</td>\n",
       "      <td>38308</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>04</td>\n",
       "      <td>2012</td>\n",
       "      <td>41720</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>07</td>\n",
       "      <td>2011</td>\n",
       "      <td>44628</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>10</td>\n",
       "      <td>2011</td>\n",
       "      <td>41869</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>08</td>\n",
       "      <td>2008</td>\n",
       "      <td>46991</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>05</td>\n",
       "      <td>2009</td>\n",
       "      <td>44644</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>08</td>\n",
       "      <td>2012</td>\n",
       "      <td>45929</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>11</td>\n",
       "      <td>2009</td>\n",
       "      <td>42023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>02</td>\n",
       "      <td>2015</td>\n",
       "      <td>31540</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>07</td>\n",
       "      <td>2013</td>\n",
       "      <td>44689</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>10</td>\n",
       "      <td>2013</td>\n",
       "      <td>44751</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>06</td>\n",
       "      <td>2008</td>\n",
       "      <td>45599</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>09</td>\n",
       "      <td>2009</td>\n",
       "      <td>43699</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>12</td>\n",
       "      <td>2012</td>\n",
       "      <td>38897</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>04</td>\n",
       "      <td>2007</td>\n",
       "      <td>42709</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>08</td>\n",
       "      <td>2011</td>\n",
       "      <td>43161</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>05</td>\n",
       "      <td>2015</td>\n",
       "      <td>42321</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>09</td>\n",
       "      <td>2013</td>\n",
       "      <td>43234</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>01</td>\n",
       "      <td>2007</td>\n",
       "      <td>45203</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>05</td>\n",
       "      <td>2007</td>\n",
       "      <td>47919</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>07</td>\n",
       "      <td>2006</td>\n",
       "      <td>47088</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>01</td>\n",
       "      <td>2010</td>\n",
       "      <td>42415</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>07</td>\n",
       "      <td>2010</td>\n",
       "      <td>44853</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>11</td>\n",
       "      <td>2013</td>\n",
       "      <td>40410</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>02</td>\n",
       "      <td>2011</td>\n",
       "      <td>36557</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>03</td>\n",
       "      <td>2006</td>\n",
       "      <td>45529</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>03</td>\n",
       "      <td>2013</td>\n",
       "      <td>39198</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>12</td>\n",
       "      <td>2009</td>\n",
       "      <td>39385</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>08</td>\n",
       "      <td>2009</td>\n",
       "      <td>46290</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>12</td>\n",
       "      <td>2014</td>\n",
       "      <td>35127</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>06</td>\n",
       "      <td>2014</td>\n",
       "      <td>42769</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>07</td>\n",
       "      <td>2007</td>\n",
       "      <td>47239</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>05</td>\n",
       "      <td>2006</td>\n",
       "      <td>47106</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>08</td>\n",
       "      <td>2010</td>\n",
       "      <td>44667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>01</td>\n",
       "      <td>2006</td>\n",
       "      <td>45351</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>09</td>\n",
       "      <td>2011</td>\n",
       "      <td>41205</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>12</td>\n",
       "      <td>2010</td>\n",
       "      <td>36568</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>06</td>\n",
       "      <td>2013</td>\n",
       "      <td>41823</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>03</td>\n",
       "      <td>2008</td>\n",
       "      <td>44268</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103</th>\n",
       "      <td>03</td>\n",
       "      <td>2007</td>\n",
       "      <td>43926</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104</th>\n",
       "      <td>02</td>\n",
       "      <td>2013</td>\n",
       "      <td>35364</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105</th>\n",
       "      <td>08</td>\n",
       "      <td>2015</td>\n",
       "      <td>45096</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>106</th>\n",
       "      <td>01</td>\n",
       "      <td>2009</td>\n",
       "      <td>40875</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107</th>\n",
       "      <td>02</td>\n",
       "      <td>2012</td>\n",
       "      <td>39247</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>108</th>\n",
       "      <td>12</td>\n",
       "      <td>2015</td>\n",
       "      <td>38991</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>109</th>\n",
       "      <td>03</td>\n",
       "      <td>2015</td>\n",
       "      <td>38023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110</th>\n",
       "      <td>04</td>\n",
       "      <td>2014</td>\n",
       "      <td>40017</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111</th>\n",
       "      <td>09</td>\n",
       "      <td>2014</td>\n",
       "      <td>43329</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>112</th>\n",
       "      <td>01</td>\n",
       "      <td>2008</td>\n",
       "      <td>45370</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>113</th>\n",
       "      <td>06</td>\n",
       "      <td>2015</td>\n",
       "      <td>41662</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>114</th>\n",
       "      <td>04</td>\n",
       "      <td>2009</td>\n",
       "      <td>41646</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>115</th>\n",
       "      <td>01</td>\n",
       "      <td>2012</td>\n",
       "      <td>41568</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>116</th>\n",
       "      <td>10</td>\n",
       "      <td>2015</td>\n",
       "      <td>41250</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117</th>\n",
       "      <td>04</td>\n",
       "      <td>2006</td>\n",
       "      <td>43621</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118</th>\n",
       "      <td>05</td>\n",
       "      <td>2014</td>\n",
       "      <td>44254</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119</th>\n",
       "      <td>03</td>\n",
       "      <td>2012</td>\n",
       "      <td>43537</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>120 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    month  year  count\n",
       "0      06  2006  46199\n",
       "1      06  2010  44673\n",
       "2      10  2007  48660\n",
       "3      11  2010  41700\n",
       "4      08  2014  44626\n",
       "5      11  2006  43818\n",
       "6      11  2008  40923\n",
       "7      03  2014  40895\n",
       "8      04  2015  39846\n",
       "9      09  2015  41942\n",
       "10     06  2009  43343\n",
       "11     09  2006  45606\n",
       "12     09  2010  44276\n",
       "13     08  2006  47729\n",
       "14     11  2015  38995\n",
       "15     09  2007  46859\n",
       "16     10  2014  44281\n",
       "17     07  2014  44913\n",
       "18     04  2010  43054\n",
       "19     11  2007  42811\n",
       "20     02  2008  39592\n",
       "21     10  2006  46919\n",
       "22     12  2011  40387\n",
       "23     01  2014  38884\n",
       "24     06  2011  43955\n",
       "25     12  2007  42063\n",
       "26     02  2007  37062\n",
       "27     10  2008  45859\n",
       "28     11  2014  37805\n",
       "29     09  2012  42602\n",
       "30     09  2008  45160\n",
       "31     07  2015  44379\n",
       "32     05  2011  43835\n",
       "33     06  2012  43204\n",
       "34     07  2009  45468\n",
       "35     10  2009  44785\n",
       "36     04  2011  41165\n",
       "37     05  2008  45393\n",
       "38     10  2012  41906\n",
       "39     12  2013  39686\n",
       "40     01  2015  34533\n",
       "41     08  2007  47774\n",
       "42     12  2006  42703\n",
       "43     01  2011  38185\n",
       "44     02  2006  38308\n",
       "45     04  2012  41720\n",
       "46     07  2011  44628\n",
       "47     10  2011  41869\n",
       "48     08  2008  46991\n",
       "49     05  2009  44644\n",
       "..    ...   ...    ...\n",
       "70     08  2012  45929\n",
       "71     11  2009  42023\n",
       "72     02  2015  31540\n",
       "73     07  2013  44689\n",
       "74     10  2013  44751\n",
       "75     06  2008  45599\n",
       "76     09  2009  43699\n",
       "77     12  2012  38897\n",
       "78     04  2007  42709\n",
       "79     08  2011  43161\n",
       "80     05  2015  42321\n",
       "81     09  2013  43234\n",
       "82     01  2007  45203\n",
       "83     05  2007  47919\n",
       "84     07  2006  47088\n",
       "85     01  2010  42415\n",
       "86     07  2010  44853\n",
       "87     11  2013  40410\n",
       "88     02  2011  36557\n",
       "89     03  2006  45529\n",
       "90     03  2013  39198\n",
       "91     12  2009  39385\n",
       "92     08  2009  46290\n",
       "93     12  2014  35127\n",
       "94     06  2014  42769\n",
       "95     07  2007  47239\n",
       "96     05  2006  47106\n",
       "97     08  2010  44667\n",
       "98     01  2006  45351\n",
       "99     09  2011  41205\n",
       "100    12  2010  36568\n",
       "101    06  2013  41823\n",
       "102    03  2008  44268\n",
       "103    03  2007  43926\n",
       "104    02  2013  35364\n",
       "105    08  2015  45096\n",
       "106    01  2009  40875\n",
       "107    02  2012  39247\n",
       "108    12  2015  38991\n",
       "109    03  2015  38023\n",
       "110    04  2014  40017\n",
       "111    09  2014  43329\n",
       "112    01  2008  45370\n",
       "113    06  2015  41662\n",
       "114    04  2009  41646\n",
       "115    01  2012  41568\n",
       "116    10  2015  41250\n",
       "117    04  2006  43621\n",
       "118    05  2014  44254\n",
       "119    03  2012  43537\n",
       "\n",
       "[120 rows x 3 columns]"
      ]
     },
     "execution_count": 126,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rpt_dt_by_month_year_df = pd.DataFrame([(row[0][0],row[0][1],row[1]) for row in rpt_dt_by_month_year.items()], columns=['month','year','count'])\n",
    "rpt_dt_by_month_year_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>min</th>\n",
       "      <th>max</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>41274.1</td>\n",
       "      <td>3526.403409</td>\n",
       "      <td>34533</td>\n",
       "      <td>45370</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>36372.2</td>\n",
       "      <td>2536.421692</td>\n",
       "      <td>31540</td>\n",
       "      <td>39592</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>42390.1</td>\n",
       "      <td>2351.836942</td>\n",
       "      <td>38023</td>\n",
       "      <td>45529</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>41775.0</td>\n",
       "      <td>1413.520782</td>\n",
       "      <td>39846</td>\n",
       "      <td>43621</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>44799.4</td>\n",
       "      <td>1725.974797</td>\n",
       "      <td>42321</td>\n",
       "      <td>47919</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>43938.2</td>\n",
       "      <td>1674.627123</td>\n",
       "      <td>41662</td>\n",
       "      <td>46199</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>45528.5</td>\n",
       "      <td>1082.275381</td>\n",
       "      <td>44379</td>\n",
       "      <td>47239</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>45675.0</td>\n",
       "      <td>1526.890631</td>\n",
       "      <td>43161</td>\n",
       "      <td>47774</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>43791.2</td>\n",
       "      <td>1727.821461</td>\n",
       "      <td>41205</td>\n",
       "      <td>46859</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>44600.0</td>\n",
       "      <td>2375.760089</td>\n",
       "      <td>41250</td>\n",
       "      <td>48660</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>40537.3</td>\n",
       "      <td>2488.128212</td>\n",
       "      <td>35490</td>\n",
       "      <td>43818</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>39442.1</td>\n",
       "      <td>2290.382719</td>\n",
       "      <td>35127</td>\n",
       "      <td>42703</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       mean          std    min    max\n",
       "1   41274.1  3526.403409  34533  45370\n",
       "2   36372.2  2536.421692  31540  39592\n",
       "3   42390.1  2351.836942  38023  45529\n",
       "4   41775.0  1413.520782  39846  43621\n",
       "5   44799.4  1725.974797  42321  47919\n",
       "6   43938.2  1674.627123  41662  46199\n",
       "7   45528.5  1082.275381  44379  47239\n",
       "8   45675.0  1526.890631  43161  47774\n",
       "9   43791.2  1727.821461  41205  46859\n",
       "10  44600.0  2375.760089  41250  48660\n",
       "11  40537.3  2488.128212  35490  43818\n",
       "12  39442.1  2290.382719  35127  42703"
      ]
     },
     "execution_count": 137,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rpt_dt_df = pd.DataFrame(index=np.arange(1,13))\n",
    "rpt_dt_df['mean'] = rpt_dt_by_month_year_df.groupby('month')['count'].mean().as_matrix()\n",
    "rpt_dt_df['std']= rpt_dt_by_month_year_df.groupby('month')['count'].std().as_matrix()\n",
    "rpt_dt_df['min']= rpt_dt_by_month_year_df.groupby('month')['count'].min().as_matrix()\n",
    "rpt_dt_df['max']= rpt_dt_by_month_year_df.groupby('month')['count'].max().as_matrix()\n",
    "rpt_dt_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 176,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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48GF4eHigd+/eyMzMxJQpUzTGHMjIyECvXr2QnJyMXr16oUmTJoiOjoaPj49OA9q0bdsW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\nxqq+vl5VVVWqr68P3HNbUVGhmJgYde3aNWTHCwAAAABomuV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GIiMjtXfvXo0a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\njEr/5q587QAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x121ab7f98>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(11,7.5))\n",
    "sns.boxplot(x='month', y='count', data=rpt_dt_by_month_year_df, palette=sns.color_palette(\"Set3\", 10))\n",
    "plt.xlabel('Month')\n",
    "plt.ylabel('Crime Report')\n",
    "plt.title('Boxplot of Number of Crimes Reported Each Month Over 2006-2015')\n",
    "plt.savefig('plots/boxplot_month_year.png')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "# Count of Unique Values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "# function that returns a dataframe containing counts of values of a column\n",
    "def count_occurence(colnum):\n",
    "    # count occurences of boroughs\n",
    "    count_occurence = data.map(lambda x: x[colnum]) \\\n",
    "                          .filter(lambda x: len(x)>0) \\\n",
    "                          .countByValue()\n",
    "    return pd.DataFrame(list(count_occurence.items()), columns=[header[colnum],'count']).sort_values(by='count', ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "law_cat_distrib = count_occurence(LAW_CAT_CD)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>LAW_CAT_CD</th>\n",
       "      <th>count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>MISDEMEANOR</td>\n",
       "      <td>2918574</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>FELONY</td>\n",
       "      <td>1567423</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>VIOLATION</td>\n",
       "      <td>615234</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    LAW_CAT_CD    count\n",
       "2  MISDEMEANOR  2918574\n",
       "0       FELONY  1567423\n",
       "1    VIOLATION   615234"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "law_cat_distrib"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "from pylab import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "tableau20 = [(31, 119, 180), (174, 199, 232), (255, 127, 14), (255, 187, 120),    \n",
    "             (44, 160, 44), (152, 223, 138), (214, 39, 40), (255, 152, 150),    \n",
    "             (148, 103, 189), (197, 176, 213), (140, 86, 75), (196, 156, 148),    \n",
    "             (227, 119, 194), (247, 182, 210), (127, 127, 127), (199, 199, 199),    \n",
    "             (188, 189, 34), (219, 219, 141), (23, 190, 207), (158, 218, 229)] \n",
    "for i in range(len(tableau20)):\n",
    "    r,g,b = tableau20[i]\n",
    "    tableau20[i] = (r/255., g/255., b/255.)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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L4y8kgAGwDaELANLoVNOL9r6wApGEmnujevntTq072q0TwYTd5QE5xyH1t6ff9BP5N/1E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\nhrLCnfjoLy9h5YXXI3XGXFhs0Xhr46NorD2Gz7b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PAwB27dqF7Oyh6XG3bNmCSy+9FHPm\nzMHixYtxxx13oKqqavDxzZs3Dz5HdnY2Zs2ahbPOOgsPPfQQuru7B9vt3r17SLvv3latWgUAqK2t\nRXZ2NvLy8uAaoS7KE088gezsbLz33nsAgOeff37EY+bk5OCee+4Z1v/6669HXl4eenqGzgh9+7xP\nP/30sD7PP/88rr/++iH3HT9+HHfddReWLFmCvLw8XHbZZXjnnXeGtBnp9c6aNQsrV64c/HkHktQi\nyQDQ1dmBjEhdwMdARBTK/pLfBG1kHDQajaT2/S4XjlUeQZxp7AtiRERqBaBSyLmfawrxO3G/QqHA\ntm3bcO211w65f+vWrUOiaUEQhvyit27divvuuw8PPPAA5syZg66uLrz44ou47rrr8I9//AM63cCJ\ne1xcHN555x2IogiXy4WKigo8/PDDqKiowGuvvTbk+Dt27MCJtZ1PjOg9Hg927tyJs846a8j927Zt\nG9Y2Ly8PL7zwwrBjqtVDp2YbGxuRn5+P2NhYfPzxx1i3bt2wn9Orr76KSy65BKmpqUPu/+7P5ODB\ng7jxxhuxfPly/OEPf4DZbMauXbvw+OOPo7CwEA888MBJX29PTw+2bduG3/zmN0hKSsLFF188bAzj\npVQqYDGb4PV6x/xjbayvw6pMOw63jL0ckYiIBogAHtpWg/tXZONgUYGkPpXHjuPMpCS0KnTo9wR3\nfEQ0vUUaZTDouCZ5KvF7znHhwoXYvn37kPucTicKCgqQk5Nz0n7vv/8+LrvsMqxduxaJiYnIycnB\nk08+ie7ubnz22Wf/HpBMBpvNhoiICMTFxWH58uV4+eWXsW/fPnzyySdDjvltu+/erFbrsPFu27Zt\nyH1HjhxBd3c3YmNjh9yvVCpHPKbBMHTD80cffYTs7GysXLkS77777oivNzo6Gvfff/9Jfx4AcM89\n9+Dss8/GE088gVmzZiEpKQmXX345/vjHP+Ltt9/G559/ftLXm5SUhJtuuglLly7F1q1bR32e8cib\nOQMOZ/eY7eqaWrA02Rjw5yciCnVHW3qR3+xDVHS05D4F+flItTKpBhGNLsakYKr4KcbvoGvVqlXY\ns2fPkOV+n3/+ORYuXAi9Xn/SfoIgoLCwcMhyPJVKhffee2/YLNSJUlNTsWDBgmFBl9Txfvrpp0Pu\n27ZtG9asWTPuKdctW7Zg4cKFWLFiBfbu3Yu6urohjwuCgP/+7//Gnj17sGXLlhGPUVRUhPLyctx2\n223DHps1axaWL1+Ot956a8yxqFQqyOWBT9s+JycLHs/YX+yiKMLb34soA/+wiYj89cKOOsTY06Qv\n6XZ2o62lHpF61u4iopEJALRK7ueaavz+bWRlZSEmJgZffvnl4H2ffPIJVq1aNWxZ3ndde+21KC4u\nxvLly3HnnXfirbfeQlNTE5KSkkYN1r6VkZGBw4cP+zVWQRCwdOlSOJ1OFBcXDxnv6tWrRx3vyVRV\nVaGkpAQrV67EokWLYDAYBveFfVdubi7Wr1+Pxx57DE6nc9jjJSUl0Gq1SEtLG/F55s+fj6KiopOO\nw+fz4eOPP8aOHTtw7rnn+v06xhIfEwWdVlrGm4a6GqzMtI7dkIiIhuj3+PDsjgYkp2dJ7nPwYBli\n9W5IrLFMRGHGpBWgUfNi+FQzro/slStXDi4xdLlc+PrrrwcTWJzM4sWL8cYbb2Dp0qX49NNP8T//\n8z84++yz8eCDD0p6ToPBMGR2TRRFzJs3D3l5eYO3efPm4fe///2QfhqNBmecccbgeBsbG1FVVYVF\nixYNe469e/cOOd63x9y3b99gmy1btsBisWDhwoVQKBRYsWIF3n///RHHvGHDBgiCgGeeeWbYYw6H\nAybTyWtcmc1mdHR0nPT1zp49G08++SR+8YtfBCXoEgQByQnxcLncY7atqW/A2ems10VENB7fHHeg\nxaeDxSztc9Tn86G4uBjJrN1FRCOwRyig1zFV/FTjdyINYGDJ3n/913/B5/Nh586dyMrKgs1mG7Pf\n3Llz8dxzz8HlcmHPnj3YvHkz3njjDdjtdtx4442j9nU6nUP2VgmCMGKwYzYPrxu1atUqbNq0CRs2\nbMC2bduwYsWKEZfkzZ49G0888cSw+2NiYgb//fe//x1nn3324P/XrFmDDz74APv378e8efOG9DMY\nDLjnnnvws5/9bFiyDbPZjLa2tpO+3qamJlgslhFf75EjR3Dvvfdi1apVuOaaa056jFO1OG8WDh6u\nRIRq9Fpcbo8XWpkXepUc3S6eBBAR+evR7dV4eV0OOvftlrQKo6W1Fal9HTCqI9DVPwEDJKJpQSYM\npIoPxtYTOjXjmumaP38+AGDfvn3Ytm0bVq9ePWr7np4ePPjgg2hsbAQwsA/pjDPOwBNPPIHzzjsP\nO3fuHPM5y8vLkZU1dPlFUlLSsNtIs0crVqzAkSNHUFtbO7ifayRqtXrEY6pUqsExHD58GH/7298w\nc+ZMzJw5Ez/96U8hCMKISwwBYO3atViyZAnuu+8++Hz/TvU7d+5cuN1ulJeXj9ivpKQEs2fPHvH1\nrlixAs888wxee+01bNq06aQ/s1OVmZoMucT1wA11dTgr3TJ2QyIiGqaj14O/FLcjwZ4suU9BYRGS\nLazdRUT/FmkQoJe4PYQm1riCLrlcjhUrVmDbtm349NNPTxrEfEuj0eCDDz7Axx9/POwxo9E4LOPg\niY4dO4Z9+/aNexmd1WpFXl4ePvjgAxQXF+PMM88c13E+/PBDmM1mvPfee3j//fcHb2vXrsVHH300\nYj0wAPj1r3+NsrKyITNzubm5mDlzJp577rlh7YuKivD555/jyiuvPOlY8vLysH79evz2t79FfX39\nuF7PWHRaDSIjLEOCxZM5Xl2DC3O5r4uIaLw2F7dAYY6BTqeV1N7tduPIkQokmFm7i4gGJNqU0GoY\ndE1F496Gu3LlSrz11luIjIxEQkLC6E8ik+FHP/oRnnrqKWzcuBGVlZWoqKjApk2bsGXLFtxwww2D\nbb1eL1paWtDS0oL6+nps3boVt956K04//fQhWQ5FURxsd+Ltu22+O96NGzdi0aJFw+pufcvtdo94\nvPb2dgADSwsvvPBCZGZmIiMjY/B20003oaurazB1+4lLQ1JSUnDLLbegtrZ2yP2PPvoo9u/fj7vv\nvhslJSWora3F5s2b8R//8R+48sorx8zquGHDBmi1Wjz66KOjtjsVi+bOQmfX8EQgJ3K53VCJLkQZ\nWBOCiGi8HtpWjdSsk5dfOVFVVTX0sh5ouGeeKOwpZIBOzayFU5Vfe7q+m2J92bJl8Hq9Q5YWjpaC\n/fvf/z4sFgvefPNNvPTSSwAG9lBt3LhxSH2vxsbGwZkotVqN+Ph4XHTRRbjllluGjeXEGStRFCEI\nwmDdr++OZ9WqVXj88cdHHW9BQcGIs2B2ux2PP/44amtrcfnllw97fPbs2Zg1axY2b96MuXPnjvhz\n+NGPfoQPP/xwyGOZmZn461//ihdeeAG33347urq6kJ6ejrvuuguXXnrpsGOcyGg04s4778Svf/1r\n7Ny5E0uXLh2zj79OmzkDH27/cuyGAKqOVWLdrET8/pvgzLwREYW6qvY+fF3rQlZsDBobGiX1yS8o\nwIKFS3GgiXs4iMJZnFkOo14z2cOgkxDE8eRNp7By/9MvQyaTjVnXTBCAs846G9e9MfI+NSIiwX5v\ntQAAIABJREFUGptCJmDT1ZmoKNwHt3vsDLIAkJ09AzJTEpqdvMJNFK4WpakQH2UZdx1aCi5+OtOY\n5ubOgLO7Z8x2ogh0tLVgdrxhzLZERDQyj0/EU5/XIzlDeu2u8vJDiNa5oeC3OlFY0igBjUrBgGsK\n48czjWnh3JlwuT2S2h47Vomr5kQGeURERKFtf20XavpVYyaa+pYoiigqLESqlWU7iMJRolUOE5cW\nTmkMumhM8TFRMOi0kmrHdDicSLEqoOblViKiU/J/P61BUkaW5CvXbe0d6HO2wSwt+SERhZAoowIK\nxbjK79IE4ZkxjUkQBCw6bSYczm5J7etrarAqk+njiYhORVe/F3/a34ak1FTJfYqKi5FkckPGFUZE\nYcOkEaBRK7m0cIpj0EWSnLEwDz6vtGUrlVXVuHgmgy4iolP194Ot8OkiodfrJLX3eDw4VF6GRNbu\nIgob9ggFsxZOAwy6SBKbxYzoyAh4vWN/kbvcbih9LkQbWbOLiOhUPbi1Gil+1O6qrauHWnRCx49g\nopAnADBpZZDLWTJiqmPQRZKtPH0hOh1dktoO1OyKCPKIiIhCX72jH58e60VsfILkPvkFBUixSkuA\nRETTV5RRgF6rnuxhkAQMukiyOTlZkjdp1jY24sxUU5BHREQUHl7d3QBLXBJUKqWk9r29fairrkKM\nkaU4iUJZSqQSeh2XFk4HDLpIMrVahaxUO/r6XWO2HajZ1Yx5icYJGBkRUWjzisBvPq1DSma25D4V\nhw8jQtMPJVcdEYUkk0aAXssEGtMFgy7yy6pli9HdM3ahZACoqDiMmxdGB3lEREThobTBicNdctgi\nbJL7FBYUsHYXUYhKj1bCZJCWZIcmH4Mu8ktKUjwMOp2kml3dvX3Qiv1ItnHam4goEJ76ogYJaVmQ\nyaR9fXd0OuDsbIaVtbuIQopGCRi1csmfBTT5+JsivwiCgEV5syTX7Dp0qAy3LIoN8qiIiMJDj8uH\njbubYU9Ll9ynpKQUCazdRRRSUqOUMBs5yzWdMOgiv52x4DR4JdbsautwINkkwKaTtvmbiIhGt72i\nHT1KM4xGg6T2Xq8XBw+Wwm5h7S6iUKCQATa9XHJyM5oaGHSR32wWM2IiIyQHXocrDuGGBdzbRUQU\nKA9vq/GrdldDQxPkHgdrdxGFgCSbHGYD1wxPNwy6aFwGanY5JbWta2zGwkQdNEq+3YiIAqHZ6cKW\nQ07EJyZJ7pNfUIhU1u4imtYEAHEWheTyETR18CyYxmVOThYUfuQhPn70KC6bExnEERERhZc39zfC\nEJUAjVpaYdT+/n5UHatEnIm1u4imqxiTDAadmmnipyEGXTQuarUKS/LmoEtiQo3K6hqszbZyIzcR\nUYD4RODh7TVIyZJeu+toZSUsyj6ouBWEaFpKjlRAp2VW6OmIQReN2+pliyXv6xJFEQ21NVidJb2+\nDBERja6iuQclbSIio6SvJCgoyGftLqJpyKwVoNeoOMs1TTHoonEzGQ3IzUxDT2+fpPaHjx7F+jwu\nMSQiCqRnv6xDbHIG5HJpS74dXU50tDYgQsdlhkTTSXq0EkYm0Ji2GHTRKTl/9XL09kkLutweL5wd\nrZifaAzyqIiIwkefx4fndzYiOT1Tcp8DBw4izuiGnGcBRNOCVgkYtAoWQ57G+JujUxITGQF7Qhxc\nbrek9ocqKnDzIqaPJyIKpK8rO9EOPcwmk6T2Pp8PpSUlSLZwmSHRdJAVq4SFxZCnNQZddMouWnMW\nurqkJdTo6e2DytOD7Bh9kEdFRBReHtleg+SsbMn7PZqaWyD2d8IgLfkhEU0SvVqARa+UvISYpiYG\nXXTK0uyJiLBZ4PX6JLUvLS3FHWfGB3lUREThpb3HjXdKO5Fgt0vuU1BYiBSLB9yWTzR1ZccqYTHx\nYvV0x6CLTpkgCLhg1XJ0Orokte/u7YPH2YYlKdKWwRARkTRvFTZDZYmFVmJKaZfLjaNHKxBvlnbR\njIgmlkUrwKRXci9XCOBvkAJidnYGdDoNRFFaNqwDB8vwH0vjeHWViCjAHtpWg9SsHMntjx+vhkHe\nC40yiIMionHJilXCZOBerlDAoIsCQi6XY82ZS9DRKW22y+V2o7WhFufmsG4XEVEgHWvrxe4GD6Kj\npSctKsgvYO0uoikmyijApFdzlitE8LdIAbMkbw4UCrnk2a7yisO4fl4UFDLOdxERBdJLX9chyp4G\nhUIhqb2zuxvNjbWI1LN2F9FUIABIj1bBoGddrlDBoIsCRq1WYen8uXA4pWUy9Pp8OF55FFfnRQV5\nZERE4cXtFfH0V/VIyciS3KesrBwxehcUPDMgmnQJVhlMeo3kbKQ09fGjlQJqzZlLIIqi5Nmuo8eP\n4/xsC3QqvhWJiAJpb1UXGjwaWC0WSe1FUURxURFSuMyQaFLJBMAeoYROy3oOoYRnuhRQep0Wq85Y\nJDmToSgC5eVl+MHiuCCPjIgo/Dy2vQZJGTMkXy1vbWuHq6cdJg2XGRJNlpRIOcxGLWe5QgyDLgq4\nVWcshkKhkDzbVVPXgMUJGth0TJ1FRBRIjj4P/lzYjsTkFMl9ioqKYDd7wfM9oomnkAFxFgXUKtVk\nD4UCjEEXBZxKpcQFq5ajvdMhuc+B0lL85zIWTCYiCrQPSlsgmKKg10tLO+12e1BxqByJrN1FNOEy\nohWwGHWc5QpBDLooKJbOnwODTgefT9qXdlNrG1KMQJJFWkFPIiKS7qGt1Ujxo3ZXTW0ttOiGlgsQ\niCaMWgFEmhRQcZYrJDHooqCQy+W4bO1qtHdIn+0qLS3GXWclBHFUREThqaajH19U9SE2TvqKgvwC\n1u4imkgz4pSwmvSTPQwKEgZdFDRzcjIRGWGFx+OR1L7D4YTK7cCyNHOQR0ZEFH7+uKsB1ng7VCpp\n01c9Pb1oqKtCtIFJNYiCzaYXEGFUSa6tR9MPgy4KGkEQcPVF56DT4ZTcp6ikBLcvjYWGhWKIiALK\n4xPx+Gd1SMmYIbnPoYrDiNK6oJQHcWBEYU4mADNiVTAbOcsVynhmS0GVnpyE5MQ49Ltcktp7PF4c\nKj+I/zyTywyJiAKtuN6Jyh4FbDarpPaiKKKwsIC1u4iCKCNGAYuJyTNCHYMuCrqrLjoX3d29ktvX\n1DUg1yYgM0papi0iIpLuic9qkZA+AzKZtFOA9o5O9DhaYNEGeWBEYUivEhBrVkKjZvKMUMegi4Iu\nLjoSuVlp6O6VHnjlFxTgF6sSwWs+RESB1e3y4pW9zbCnpEnuU1JSgkSTGzJ+KBMF1MwEJaxmw2QP\ngyYAgy6aEJetXQ1Xv1ty+57ePrTUVeOaedFBHBURUXj6pLwd/VorDAZpe0g8Hi/Kyg4iycxlhkSB\nYrfJYTZqJM860/TG3zJNCKvZhCXz56DT0SW5T/nhI7gg24QoAwvFEBEFmr+1u+rrG6D0OaFXcbqL\n6FSpFIA9Qgm9lvVJwwWDLpowF60+CyqlUnLBZAAoKCjAPSuTgjgqIqLw1NjlwsdHehCXID1xUX5B\nIVKs0sqAENHJzYxXwWYxMHlGGGHQRRNGrVbhmovP86tgcluHA2q3A8vTLEEcGRFReHp9bwNMMUlQ\nS9zE39fXh5qqSsQZpV88I6KhogwCrEYV5HLWYggnDLpoQs2ckY7MNDt6evsk9ykuKcWPlsZAo+Tb\nlYgokHwi8Oj2WqRkZkvuc/jIUVjV/VDxfJHIb3IByIxVwWRghuZww7NYmlCCIODadefD5XJBFEVJ\nfTxeLw6VHcAG1u4iIgq4sqZulHUKiIyMkNynoKAAqTYm1SDy14xYJaysyRWWGHTRhDMbDbhg9Vno\n6JS+zLCmvhHZFiA7hleGiIgC7ekvahGXmgm5XNppQaejC462Rth00i6eERFg1AiIMiuhUrEmVzhi\n0EWTYvniebBZLXC5paeR35efj1+tSuIyQyKiAOtz+/DSN02wp2VI7lNSegDxRjfkvGBPNCaZMFCT\ny2KSVqaBQg/PXmlSyGQy3HzFRXA4uyX36et34VBZKX6xyh7EkRERhacvjnSgS26CyWSU1N7n86G0\npBR2K5NqEI0lJ04Jq0nPmlxhjL95mjTxsdE4ff5cOLqckvvUNTQhUtaN1VnWII6MiCg8PbytGsmZ\n0mt3NTU3A65O6Llaiuikoo0Coi0qaCRmCaXQxKCLJtXFa1ZAqVTA6/WjdldREb6/IBLRRn54EREF\nUmu3G++XOZCQJH1FQWFBIVKtHnCVIdFwagWQGauG2chlheGOQRdNKrVahfUXr/UrqYbPJ2L//n14\n6NxkyPgtT0QUUH/Jb4I2Mg4ajUZS+36XC8cqjyDOxGWGRN8lAJiTpEIEiyATGHTRFDBzRjqy0pLR\n3dsruU+Hw4m2+ir8cHFcEEdGRBR+RAAPbatBapb02l2Vx47DpOyDWhG8cRFNNxkxCthMWhZBJgAM\numiKuHbdWrjdHsm1uwDg8NFKLE1QYlYcp+yJiALpaEsv8pt9iIqOltwnPz8fqVbW7iICAItOQLxV\nBZ1W2owxhT4GXTQlmIwGrL/4PLS1d/rVb8++fbhnZSJ0Kr6ViYgC6YUddYixp0GhkHaV3unsRltz\nHSL1rN1F4U0hA3LjVbCaDZM9FJpCeKZKU8a82TmYk5vlVzbDfpcbB0uL8es1yUEcGRFR+On3+PDs\njgbY0zMl9zlYVo5YvRsSaywThaTZiSrYzHru46Ih+LFIU8r6i8+DRqWCx+OR3KehqQVGbyfW5tiC\nODIiovDzzXEHWn16WMwmSe19Ph+Ki4uRYuEyQwpPdpscEWY1lErlZA+FphgGXTSlqNUq3Hrd5eh0\nOP3a31VUXIrr8myIM6mDODoiovDz6PZq2DNzJF+1b2lthae3A0Z+HFOY0asFJEepYNBpJ3soNAUx\n6KIpJzEuBuesOAMdji7JfXyiiL179+GRtclQyjmdT0QUKB29HvyluB2JySmS+xQWFSHZwtpdFD5k\nwrfLCpkenkbGoIumpO8tX4KEmGj09PZJ7uNwdqPqcDnuO4f7u4iIAmlzcQvkpmjoJF7Bd7vdOHL4\nEBLMrN1F4SE3XokIsw4yGU+taWR8Z9CUJJPJ8INr1sHtccPnk/6lXV1XD72rDdfPjwni6IiIws9D\n26qRmpUjuX1VdQ30sh5ouLWFQpzdJkeMRQOVSjXZQ6EpjEEXTVlmowHXr7sA7R0Ov/qVHCjDymQV\nFidL2/hNRERjq2rvw44aF2JiYyX3yc8vQBprd1EIs+kFpEarYDRwHxeNjkEXTWlzcrMwb3aOX2nk\nAWDXnr3YcEYMEszcyU1EFCi//6YeEYkpkjOzdff0oLG+BlEGLjOk0KNVArnxaljNRu7jojEx6KIp\n76oLz4FOq4HbLT2NvMfrxe7du/HY+SksnExEFCAen4gnP69HSmaW5D7lhw4hWueGgh/FFEIUMmCu\nXY0IKwMukoYfgTTlqVRK3Lr+Mjic/qWRd/b0oqykCI+uTWUGLSKiAMmv7UJ1nwo2q1VSe1EUUVRY\niFQuM6QQIQA4za5CpEXPxBkkGd8pNC3Ex0bjojUr/N7f1djSir7WGvzX8oQgjYyIKPw8/mkNEjOy\nJJ9wtrV3oM/ZCjO3vVAIyE1QItKiYwFk8guDLpo2VixdgLm5WX7v76o4UolckwfnZku7KktERKNz\n9nvx2v5WJKakSu5TVFyCJJMbMi49oGksOUKOWKsGWg33jJN/GHTRtCEIAq5dtxYRVotf9bsAYF9+\nAa4/zYasaF2QRkdEFF4+OtgGny4Cer20z1WPx4Py8jIksXYXTVMRegEpUWoY9ZyyJf8x6KJpRaFQ\n4PYbroQoivB4pCfW8Ikidu7ahfvWJMGqVQRxhERE4ePBrdVInZEruX1dXT2UohM6ljOiaUanAnIS\n1LCaDUycQePCoIumHaNBjx/feCU6u/xLrNHX70LB/n14/MI0KOX8wCQiOlX1jn5sq+xBXLz0fbMF\nBQVIsUq/aEY02RQyYG6SGhEWZiqk8WPQRdNSYlwsrr1kLdraO/3q19bpQO3RMjx2fir3FRARBcCm\n3Q0wxyVBpZI2fdXb24e66irEGqVfNCOaLIOZCq0GZiqkU8J3D01bC+bOxJmL5qGj07+MhjV1Dehv\nqcL/fC85SCMjIgofXhF47NNapGTOkNyn4vBh2DT9UMmDODCiAJj5r0yFCgW3JtCpYdBF09ol556N\n5MR4OLt7/Op39FgVDP0tuIOp5ImITtmBhm4c7pLDFmGT3GdgmSFrd9HUlREtR6yNmQopMBh00bQm\nk8lwyzXroFGp4HK5/epbdqgCGdpe3LgwJkijIyIKH099UYOENOm1uzo7HXB2NMHKRHA0BSVHyGGP\n0sIoMTsn0VgYdNG0p9Vo8OObrkZPby98Pv9SERcUl+CMOAEXz4wI0uiIiMJDj8uHjbubYU9Ll9yn\npPQAEli7i6aYeIsMqdFqmAwMuChwGHRRSIiKsOIHV69DW3unXxkNAWDPvv1Yl63HigxLkEZHRBQe\ntle0o0dphtFokNTe6/Xi4IFS2C2s3UVTQ5RRQGasGhYTU8NTYDHoopCRk5mG81edifYO/xJriCLw\n9a5duGW+DfMSjUEaHRFReHh4Ww1SsnIkt29obILc44Cetbtokll1AnLiNbCamRqeAo9BF4WU1Wcu\nwaK8WX5nNPT5ROzYuRM/Wx6LrChuMCAiGq9mpwtbDjkRn5gkuU9+QSFrd9GkMmoEzEpUw8ZaXBQk\nDLoopAiCgKsuPAe5WenodDj96uv2ePHV1ztx//eSkGhhpiIiovF6c38j9FEJ0KilfZb29/ej6thR\nxJtYu4smnl4tYG4SAy4KLgZdFHIEQcCNl1+I5MRYdDm7/erb73Lhm1278Pj5KYjUK4M0QiKi0OYT\ngUe21yA5K1tyn6OVx2BW9kHNckg0gXQqAafZVYiwGln8mIKK7y4KSXK5HLeuvxyRNgucPb1+9e3u\n6cW+vXvw9MVpMGn47U9ENB4VzT0oaRMRFRUluU9+QT5SWbuLJohWCeTZVYi0mhhwUdDxHUYhS6VS\n4ic3XQ29VoOe3j6/+nZ2OVFSsB/PrUuHRcvAi4hoPJ77sg4xyemQy+WS2nd1OdHe0oAIHZcZUnBp\nlEBeshqRNgZcNDH4LqOQptVosOH76yGXydDvcvnVt7WjE6UF+/HsunRYGXgREfmtz+PD8zsbkZyR\nKbnPgYMHEWd0Q84zFAoStQKYl6xGFAMumkB8p1HIMxkNuOOW6+ByueH2+Jcdq62zEyUF+/DsunTY\ndNzjRUTkr68rO9Eu6mE2mSS19/l8KCkuQbKFywwp8L4NuCK5h4smGN9tFBYirGZs+MG16O7ugdfr\n3xd5W4cDRfv34tlL0phcg4hoHL5NqiE1M1xzSwt8/Z0wMJEsBZBWCcxPUSPKZpS85JUoUBh0UdiI\nj4nCj2+8Ch2OLvh8Pr/6tju6ULB/D565OA1RBlbwJCLyR3uPG2+XdCIhyS65T2FhIVIsHjCBNwWC\nQS1gXsrAkkIGXDQZGHRRWEm1J+KH11yKto5OiKJ/G7U7HE7k79uN316cijgTL78SEfnj7aJmqKyx\n0Go1ktq7XG4cPVqBeLN/F8mITmTRCTgtWc0shTSp+M6jsJOblY71l5yHltZ2vwOvzq5u7N71DZ66\nMAUpNm2QRkhEFJoe3FaN1Kxcye2PH6+GQd4LDVd20zhFGgTMSdIw4KJJx3cfhaVFp83G1Refh5a2\nDr8DL2dPL3bu/BqPnJeErCgGXkREUh1v68OuBheiY6Il98nPZ+0uGp84swwzEzWwWYyS9xMSBQuD\nLgpbS+fPwfpLzkXrOAKvnr5+7NixA/etScCceH2QRkhEFHpe/roeUUlpUCikleLo7u5Bc0MNovSs\n3UXS2SNkmBGvhdXMgIumBgZdFNYW583BdZeeP64Zr36XG19+9TV+vjwWi+3SUiETEYU7t1fEU1/W\nIyUjS3KfsvJDiNa7oOBZC0mQES1HRqwOFpOeARdNGfz4orC3YO5M3Hj5hWht9z/wcns8+HLH1/jx\nYhvOzbYGaYRERKFlX3UX6t0aWC0WSe1FUURxURFSuMyQxpATJ0dKjA5mIwMumloYdBEBmDc7Bzdd\ncTFa2jr8Tifv8Xrx1dc7cVmWBrcsiQvSCImIQstvPq1BUsYMySfGrW3tcHW3waThMkMaTgAwO0GB\npGgDjHrdZA+HaBgGXUT/ctrMGbjl6nVo63D4HXj5RBG79u5Drs6JB85JgULGq2tERKNx9Hnwv4Vt\nSEpJkdynqLgYdrMXnMCg75IJwGl2JRKiDNBLLElANNEYdBF9x+ycTNx+wxXo6HTA6/V/GcuBsnII\n7cfx7LoMGFQsvkhENJotpa2AIQp6iTMTbrcHFYfKkcTaXfQvChkwL1mJ+EgDtBrW0KSpi0EX0Qmy\n0lKw4QfXosvZDbfH43f/4zW1qD5UjJcuz0CsURWEERIRhY4Ht1YjNStHcvua2lpo0A0ta3eFPa0S\nWJCiQmyEESoVv29pamPQRTSC5MR43PnD69Hb2weX2+13/+bWNuzfuwtPX5SC3BiuLSciOpnazn58\nVtWH2Lh4yX3y8wtYuyvMWXXAvBQ1YiLNUCoZgdPUx6CL6CTiY6Nx949uhNvtQV+/y+/+Xc4efLVj\nB355dixWZkrL0EVEFI5e2dUAa7wdKpW0k+ee3l7U11YhxsCkGuEo0QLMsesQZTNDJuOpLE0PfKcS\njSI6woaf/ehGKGQydPf0+t2/3+XG51/twLUz9bhxQUwQRkhENP15fCIe/6wOyRkzJPepOHwYkdp+\nKLl9NmwIApAdA8xINMJqNjAlPE0rDLqIxmCzmPF/br8ZkTYLOh1Ov/v7fCJ27t6DedZ+/GqNHUxs\nSEQ0XHG9E8d6FLDZpNU8FEURBYWFXGYYJlRyYG6CDKnxVpgMOgZcNO0w6CKSQKfVYMP31yMnMxXt\nHZ3jOkZx6QFonXV4dl0GtEr+6RERneiJz2qRkD5D8pKxjo5OdDtaYNEGeWA0qfQqEXMSZbDH2aBR\nM2EGTU888yOSSKFQ4OYrL8aK0xeiubUdouj/XoLK41WoP1KK312eiUQLU9sSEX1Xt8uLV/Y0Iykl\nTXKf4uISJJrcXEUQoiJ1PsyMlyMhJgJyOdeS0vTFoIvID4Ig4MLVZ+Hadeehta0DXq//tWIam1ux\nf883eHxtEhNsEBGd4JND7XBprTAY9JLae71elJUdRJKFywxDjd3iRWasCvExkUyYQdOeII7ncj0R\n4cjxarz0p7eg02okZ9z6LplMwPzTTsPhbhWe+qwaXv4lEhEBAGKMKjx9fiJK9u+V3GfpksWo77Og\n28UP0+lOLgCZUT7E2gywWoyTPRyigOBlA6JxSk9Ows9vvxmiKI4rs6HPJ2LP/nyYe+vw8hVZiNCz\nzggREQA0drnw8ZEexCckSu6TX1CAFKv/dRVpatEogVlxPqTEWxlwUUhh0EV0CqIirPj57TfDajbC\n0eV/ZkMAOFZVjUPF+/D8JamYn8gvGCIiAHh9bwOMMYlQq6Xtf+3r60d11THEGf1f9k1Tg1XrQ26M\niOSEaGg1mskeDlFAcXkhUQC43R5seut9lB0+BqvFNK5jKBVyLFqwADtq3fjDroYAj5CIaPrJjtbj\nF2faUFZcKLnP8uVn4ki7Fi5u8Zo2BAFItngRZVQgIS6K6eApJHGmiygAlEoFbrnmUixblIfWto5x\nZTZ0e7zY8c0uZGsc+O0l6TComaWJiMJbWVM3DrQDkZERkvsUFBQg1caIa7rQKoHcaA/sUVokxkcz\n4KKQxaCLKEAEQcC6c1fiygvPQXtHJ9wez7iOU1ZxGA1HSvG7yzOQFa0L8CiJiKaXZ76sRVxqpuR0\n4Q5HFxxtjbDpuJBnqos2+JBq6UNSbAQiJBbFJpquuLyQKAjqGprw0utvwe3xwKAfX+CkUauwZNEi\nbD7YhXeKmgM8QiKi6WN5mhnX5yhRWXFIUnuZTIazzlqOg00qZoadguQyINXqAdxO5M7IYP0tCgsM\nuoiCpLevD6/8v/dwtKoWFrNxXEsmBAGYM3MmHAozHvxnFfo83CBOROHpqYvS4Koth6OrS1L76Kgo\npGTNQWU7T+inEoMasJv6IXpdyM7KmOzhEE0YLi8kChKtRoPbb7wKa5YvRWv7+AopiyJQWFKK/obD\n+MNVmZgdJ61YKBFRqHl4WzWSs3Ikt29qbgZcDuhVQRwU+SXB5EWUog0mvZoBF4UdznQRTYDDx6qw\n8Y13IZfLodOOLw2uWqXEgnnzUNjiw/Nf1cHj458uEYWXq0+LwpkRvaitrpLUXqVS4YwzlqG0UQF+\nYk4elRxIs3lQX3MMC+fNhdFomOwhEU04Bl1EE8TR5cTv/vw2mlraYTaN/wsnJSkRSWmZuP+TKhxt\n8b8oMxHRdCUA+MOVmagrK0RvX5+kPikpyTDHZqLOwcU9k8GqFRGj60N7awsWL8zj/i0KWwy6iCaQ\n1+vF5n9sx1d7CmCzmCCTje8kQKfVYOH8+fj0WC827WkAJ72IKFykRWhx/9lROFhUILnPmcuWodKh\nQ//4ksrSOAgAkq1euLqaERcTAXtS4mQPiWhSMegimgSFB8rx+ttboNVpoFaNf8NBZnoqbHHJuPfj\n46jr7A/gCImIpq6fLk+A3deI5qYmSe0NBj3y5i9BWTNnWSaCXgUkW1yoqTqO0xcvgHacy+qJQgmD\nLqJJ0tLWgZde/yu6nN0wncL6dpNBj/nz52NzaSfeZmp5IgoDKrmATVdloqxgLzwSayLm5uZA1Cei\npZvFd4NFJgB2ixe+3nYIohd5p81msWOif2HQRTSJXC43/vze31F04BBsVvO4v5wEAcidMQNKSwzu\n/fg4WrvdAR4pEdHUsjjZhFvnaHCkvExSe5lMhrOWL0dZiwqsvhF4Zo2IRJMbBw6U4ozFCxAVFTnZ\nQyKaUhh0EU0yURSxv/gg/t/fPoZSqRh3dkMAsFlMOC1vHl7d24xPytsDOEoioqnnsfM3Jhd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sVLzt8RjYTo6e6hsamZs7fyfG9oQdUPRTaRvsYgv7Gnlc8N1lMfDdKSiOB2/3KT47NDF3j1p68T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\ngg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11bb3c160>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.style.use('ggplot')\n",
    "plt.figure(figsize=(10,7.5))\n",
    "pie(law_cat_distrib['count'], \n",
    "    explode=(0.02,0.02,0.02), \n",
    "    shadow=True, \n",
    "    startangle=90, \n",
    "    autopct='%1.1f%%', \n",
    "    labels=law_cat_distrib['LAW_CAT_CD'],\n",
    "    colors=tableau20,\n",
    "    );\n",
    "plt.savefig('plots/law_cat_pie_chart.png')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "## Violation Key & Description"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "count_occurence(KY_CD)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "count_occurence(OFNS_DESC)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "## Boroughs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 152,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "boro_distrib = data.filter(lambda x: len(x[BORO_NM])>0) \\\n",
    "                   .map(lambda x: (x[BORO_NM], x[LAW_CAT_CD])) \\\n",
    "                   .countByValue()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 158,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "boro_distrib_df = pd.DataFrame([(row[0][0],row[0][1],row[1]) for row in boro_distrib.items()], columns=['borough','category','count'])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 159,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>borough</th>\n",
       "      <th>category</th>\n",
       "      <th>count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>MANHATTAN</td>\n",
       "      <td>MISDEMEANOR</td>\n",
       "      <td>705614</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>BRONX</td>\n",
       "      <td>VIOLATION</td>\n",
       "      <td>131656</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>MANHATTAN</td>\n",
       "      <td>FELONY</td>\n",
       "      <td>385885</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>BROOKLYN</td>\n",
       "      <td>FELONY</td>\n",
       "      <td>495909</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>STATEN ISLAND</td>\n",
       "      <td>VIOLATION</td>\n",
       "      <td>45123</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>QUEENS</td>\n",
       "      <td>FELONY</td>\n",
       "      <td>338472</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>QUEENS</td>\n",
       "      <td>MISDEMEANOR</td>\n",
       "      <td>544291</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>BROOKLYN</td>\n",
       "      <td>MISDEMEANOR</td>\n",
       "      <td>844865</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>BRONX</td>\n",
       "      <td>FELONY</td>\n",
       "      <td>294643</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>BRONX</td>\n",
       "      <td>MISDEMEANOR</td>\n",
       "      <td>677215</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>MANHATTAN</td>\n",
       "      <td>VIOLATION</td>\n",
       "      <td>124750</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>BROOKLYN</td>\n",
       "      <td>VIOLATION</td>\n",
       "      <td>185439</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>STATEN ISLAND</td>\n",
       "      <td>FELONY</td>\n",
       "      <td>52224</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>STATEN ISLAND</td>\n",
       "      <td>MISDEMEANOR</td>\n",
       "      <td>146443</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>QUEENS</td>\n",
       "      <td>VIOLATION</td>\n",
       "      <td>128239</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          borough     category   count\n",
       "0       MANHATTAN  MISDEMEANOR  705614\n",
       "1           BRONX    VIOLATION  131656\n",
       "2       MANHATTAN       FELONY  385885\n",
       "3        BROOKLYN       FELONY  495909\n",
       "4   STATEN ISLAND    VIOLATION   45123\n",
       "5          QUEENS       FELONY  338472\n",
       "6          QUEENS  MISDEMEANOR  544291\n",
       "7        BROOKLYN  MISDEMEANOR  844865\n",
       "8           BRONX       FELONY  294643\n",
       "9           BRONX  MISDEMEANOR  677215\n",
       "10      MANHATTAN    VIOLATION  124750\n",
       "11       BROOKLYN    VIOLATION  185439\n",
       "12  STATEN ISLAND       FELONY   52224\n",
       "13  STATEN ISLAND  MISDEMEANOR  146443\n",
       "14         QUEENS    VIOLATION  128239"
      ]
     },
     "execution_count": 159,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "boro_distrib_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<iframe id=\"igraph\" scrolling=\"no\" style=\"border:none;\" seamless=\"seamless\" src=\"https://plot.ly/~timatim/30.embed\" height=\"525px\" width=\"100%\"></iframe>"
      ],
      "text/plain": [
       "<plotly.tools.PlotlyDisplay object>"
      ]
     },
     "execution_count": 137,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pydata = [go.Bar(x=boro_distrib['BORO_NM'], \n",
    "               y=boro_distrib['count'],\n",
    "               marker=dict(color=['rgba(110,10,110,1)',\n",
    "                                  'rgba(140,30,140,1)',\n",
    "                                  'rgba(170,50,170,1)',\n",
    "                                  'rgba(200,70,200,1)',\n",
    "                                  'rgba(230,90,230,1)'])),\n",
    "         ]\n",
    "\n",
    "py.iplot(pydata)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 172,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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2bNDgwYM1e/ZsTZ48Wbt379bWrVttbQoLC7VkyRJt3LhR2dnZqlevnm6//XYNHTpUQ4cO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\nAMBAhDIAAAAAMBChDAAAAAA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vIiIilJWVZVePj49Xnz595O/vr6lTp6q4uNhWs1qtmjJl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\nGTNGS5cu1Z133lnt2AAAAABQH2oUyt5++235+Pg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HP/Tvf/9bL730kiRp3Lhx8vDw0PLl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\nqJifny+r1WoXyCTJycmpzkfQHB0c1KZpizpt43fh3MbsCqrl3MK8D6F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      "text/plain": [
       "<matplotlib.figure.Figure at 0x121ae33c8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,7.5))\n",
    "sns.set_style('white')\n",
    "sns.barplot(x='borough', \n",
    "            y='count', \n",
    "            order=('BROOKLYN', 'MANHATTAN', 'BRONX', 'QUEENS', 'STATEN ISLAND'), \n",
    "            hue='category', hue_order=('MISDEMEANOR', 'FELONY', 'VIOLATION'), \n",
    "            data=boro_distrib_df, palette=sns.color_palette(\"Set2\", 10))\n",
    "plt.xlabel('Borough')\n",
    "plt.ylabel('Crime Count')\n",
    "plt.savefig('plots/barplot_borough_by_level.png')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "## Precincts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# only look at years from 2006\n",
    "precinct_distrib = data.filter(lambda x: len(x[ADDR_PCT_CD])>0) \\\n",
    "              .map(lambda x: (x[ADDR_PCT_CD], x[BORO_NM])) \\\n",
    "              .countByValue()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('40', 'BRONX', 118896),\n",
       " ('69', 'BROOKLYN', 50126),\n",
       " ('79', 'BROOKLYN', 81617),\n",
       " ('50', 'BRONX', 46599),\n",
       " ('9', 'MANHATTAN', 62164),\n",
       " ('105', 'QUEENS', 74018),\n",
       " ('20', 'MANHATTAN', 40974),\n",
       " ('13', 'MANHATTAN', 74442),\n",
       " ('121', '', 74),\n",
       " ('94', 'BROOKLYN', 33533),\n",
       " ('101', 'QUEENS', 41139),\n",
       " ('52', 'BRONX', 107178),\n",
       " ('26', 'MANHATTAN', 34274),\n",
       " ('106', 'BROOKLYN', 1),\n",
       " ('30', 'MANHATTAN', 49689),\n",
       " ('77', 'BROOKLYN', 76718),\n",
       " ('73', 'BROOKLYN', 107097),\n",
       " ('41', 'BRONX', 70032),\n",
       " ('7', 'BROOKLYN', 1),\n",
       " ('18', 'MANHATTAN', 79129),\n",
       " ('14', 'MANHATTAN', 119414),\n",
       " ('66', 'BROOKLYN', 49609),\n",
       " ('63', 'BROOKLYN', 54424),\n",
       " ('49', 'BRONX', 68574),\n",
       " ('13', 'BROOKLYN', 1),\n",
       " ('109', 'QUEENS', 80169),\n",
       " ('115', 'QUEENS', 81493),\n",
       " ('104', 'MANHATTAN', 1),\n",
       " ('61', 'BROOKLYN', 64665),\n",
       " ('103', 'QUEENS', 80404),\n",
       " ('122', 'STATEN ISLAND', 82693),\n",
       " ('76', 'BROOKLYN', 28928),\n",
       " ('10', 'MANHATTAN', 43479),\n",
       " ('6', 'MANHATTAN', 54904),\n",
       " ('17', 'MANHATTAN', 32659),\n",
       " ('70', 'BROOKLYN', 81609),\n",
       " ('46', 'BRONX', 111356),\n",
       " ('32', 'MANHATTAN', 70599),\n",
       " ('106', 'QUEENS', 61494),\n",
       " ('42', 'BRONX', 78477),\n",
       " ('45', 'BRONX', 64272),\n",
       " ('107', 'QUEENS', 53750),\n",
       " ('34', 'MANHATTAN', 53833),\n",
       " ('81', 'BROOKLYN', 65145),\n",
       " ('7', 'MANHATTAN', 40885),\n",
       " ('100', 'QUEENS', 25878),\n",
       " ('48', 'BRONX', 82118),\n",
       " ('26', 'BROOKLYN', 1),\n",
       " ('102', 'QUEENS', 65302),\n",
       " ('68', 'BROOKLYN', 51275),\n",
       " ('108', 'QUEENS', 54117),\n",
       " ('44', 'BRONX', 127725),\n",
       " ('9', 'BROOKLYN', 1),\n",
       " ('60', 'BROOKLYN', 64959),\n",
       " ('24', 'MANHATTAN', 50509),\n",
       " ('33', 'MANHATTAN', 45214),\n",
       " ('5', 'MANHATTAN', 44917),\n",
       " ('78', 'BROOKLYN', 34725),\n",
       " ('84', 'BROOKLYN', 51565),\n",
       " ('113', 'QUEENS', 87842),\n",
       " ('75', 'BROOKLYN', 165479),\n",
       " ('6', 'BRONX', 1),\n",
       " ('67', 'BROOKLYN', 94719),\n",
       " ('121', 'STATEN ISLAND', 17374),\n",
       " ('104', 'QUEENS', 75114),\n",
       " ('62', 'BROOKLYN', 61874),\n",
       " ('1', 'MANHATTAN', 61537),\n",
       " ('121', 'BROOKLYN', 1),\n",
       " ('25', 'MANHATTAN', 67479),\n",
       " ('19', 'MANHATTAN', 65983),\n",
       " ('14', 'BROOKLYN', 1),\n",
       " ('120', 'STATEN ISLAND', 109720),\n",
       " ('23', 'BRONX', 3),\n",
       " ('83', 'BROOKLYN', 69104),\n",
       " ('71', 'BROOKLYN', 72088),\n",
       " ('111', 'QUEENS', 33116),\n",
       " ('112', 'QUEENS', 36889),\n",
       " ('114', 'QUEENS', 91694),\n",
       " ('114', 'BRONX', 2),\n",
       " ('104', 'BROOKLYN', 1),\n",
       " ('123', 'STATEN ISLAND', 34003),\n",
       " ('23', 'MANHATTAN', 66690),\n",
       " ('110', 'QUEENS', 68583),\n",
       " ('90', 'BROOKLYN', 65730),\n",
       " ('72', 'BROOKLYN', 54961),\n",
       " ('25', 'BRONX', 1),\n",
       " ('22', 'MANHATTAN', 4420),\n",
       " ('71', 'BRONX', 1),\n",
       " ('34', '', 1),\n",
       " ('28', 'MANHATTAN', 53052),\n",
       " ('100', '', 1),\n",
       " ('88', 'BROOKLYN', 46255),\n",
       " ('43', 'BRONX', 137771),\n",
       " ('47', 'BRONX', 90507)]"
      ]
     },
     "execution_count": 106,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "[(row[0][0], row[0][1], row[1]) for row in precinct_distrib.items()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "precinct_distrib_df = pd.DataFrame([(row[0][0], row[0][1], row[1]) for row in precinct_distrib.items()], columns=['precinct', 'borough', 'count']).sort_values(by='count', ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>precinct</th>\n",
       "      <th>borough</th>\n",
       "      <th>count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>75</td>\n",
       "      <td>BROOKLYN</td>\n",
       "      <td>165479</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>43</td>\n",
       "      <td>BRONX</td>\n",
       "      <td>137771</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>44</td>\n",
       "      <td>BRONX</td>\n",
       "      <td>127725</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>14</td>\n",
       "      <td>MANHATTAN</td>\n",
       "      <td>119414</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>40</td>\n",
       "      <td>BRONX</td>\n",
       "      <td>118896</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>46</td>\n",
       "      <td>BRONX</td>\n",
       "      <td>111356</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>120</td>\n",
       "      <td>STATEN ISLAND</td>\n",
       "      <td>109720</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>52</td>\n",
       "      <td>BRONX</td>\n",
       "      <td>107178</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>73</td>\n",
       "      <td>BROOKLYN</td>\n",
       "      <td>107097</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>67</td>\n",
       "      <td>BROOKLYN</td>\n",
       "      <td>94719</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   precinct        borough   count\n",
       "60       75       BROOKLYN  165479\n",
       "92       43          BRONX  137771\n",
       "51       44          BRONX  127725\n",
       "20       14      MANHATTAN  119414\n",
       "0        40          BRONX  118896\n",
       "36       46          BRONX  111356\n",
       "71      120  STATEN ISLAND  109720\n",
       "11       52          BRONX  107178\n",
       "16       73       BROOKLYN  107097\n",
       "62       67       BROOKLYN   94719"
      ]
     },
     "execution_count": 109,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# precincts with the most crime\n",
    "precinct_distrib_df.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>precinct</th>\n",
       "      <th>borough</th>\n",
       "      <th>count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>71</td>\n",
       "      <td>BRONX</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>121</td>\n",
       "      <td>BROOKLYN</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>25</td>\n",
       "      <td>BRONX</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>104</td>\n",
       "      <td>MANHATTAN</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>14</td>\n",
       "      <td>BROOKLYN</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>104</td>\n",
       "      <td>BROOKLYN</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>9</td>\n",
       "      <td>BROOKLYN</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>106</td>\n",
       "      <td>BROOKLYN</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>6</td>\n",
       "      <td>BRONX</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>26</td>\n",
       "      <td>BROOKLYN</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   precinct    borough  count\n",
       "87       71      BRONX      1\n",
       "67      121   BROOKLYN      1\n",
       "85       25      BRONX      1\n",
       "27      104  MANHATTAN      1\n",
       "70       14   BROOKLYN      1\n",
       "79      104   BROOKLYN      1\n",
       "52        9   BROOKLYN      1\n",
       "13      106   BROOKLYN      1\n",
       "61        6      BRONX      1\n",
       "47       26   BROOKLYN      1"
      ]
     },
     "execution_count": 112,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# precincts with the least crime\n",
    "precinct_distrib_df.tail(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "pydata = [go.Bar(x=precinct_distrib['ADDR_PCT_CD'], \n",
    "               y=precinct_distrib['count'],\n",
    "               marker=dict(color=['rgba(110,10,110,1)',\n",
    "                                  'rgba(140,30,140,1)',\n",
    "                                  'rgba(170,50,170,1)',\n",
    "                                  'rgba(200,70,200,1)',\n",
    "                                  'rgba(230,90,230,1)'])),\n",
    "         ]\n",
    "\n",
    "py.iplot(pydata)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "long_lat = data.filter(lambda x: len(x[LONGTITUDE])>0 and len(x[LATITUDE])>0) \\\n",
    "               .map(lambda x: (float(x[LONGTITUDE]), float(x[LATITUDE]))) \\\n",
    "               .collect()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "long_lat_df = pd.DataFrame(long_lat, columns=['long','lat'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/timhsu/anaconda/lib/python3.5/site-packages/IPython/core/interactiveshell.py:2885: FutureWarning: \n",
      "mpl_style had been deprecated and will be removed in a future version.\n",
      "Use `matplotlib.pyplot.style.use` instead.\n",
      "\n",
      "  exec(code_obj, self.user_global_ns, self.user_ns)\n"
     ]
    },
    {
     "data": {
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UffLJJ72OS9sf3zabzYzl1uv1znafSGllRIfKC2+6X0Mb0uoZpIzpk5MTEXn4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xLjppvrU8OaX1SYK2R5XnBJt2+A+N9F4uF5bgO3sisuZ1lA9Ae+tHaZDmWZ8jQn3o69evq16E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\nnb5Pp9P35XIhnaUQhVXmHGzfaNqGmr7J20Y4nU4k+w73wWiR3QrU3XxUaHP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TlsR0PKRR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sr35W9aI6UVDc2pi7QeUlKu9+4R9eDeZ+1ApENiB2xYtoyjUfQO13Dmknqz+xzSceCxRzns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lK3uqnHCt8JrYjh5KBOq3aOJK+o50k6DdBGs9JbTvrKzwW5PWuTKtyW9vxNoqBLB3v1vF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\n1FPDfBgrh4SJJRkNONbfPu0qt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7LI59z5q7/6K3P++ecrlQghhBBCCJXUySefbF796leb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\nEf1/HAaVwfwxfWUAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x117844208>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib  \n",
    "import matplotlib.pyplot as plt  \n",
    "#Inline Plotting for Ipython Notebook \n",
    "%matplotlib inline \n",
    "\n",
    "pd.options.display.mpl_style = 'default' #Better Styling  \n",
    "new_style = {'grid': False} #Remove grid  \n",
    "matplotlib.rc('axes', **new_style)  \n",
    "from matplotlib import rcParams  \n",
    "rcParams['figure.figsize'] = (17.5, 17) #Size of figure  \n",
    "rcParams['figure.dpi'] = 250\n",
    "\n",
    "P=long_lat_df.plot(kind='scatter', x='long', y='lat',color='white',xlim=(-74.06,-73.77),ylim=(40.61, 40.91),s=.02,alpha=.6)\n",
    "P.set_axis_bgcolor('black') #Background Color\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<module 'mpl_toolkits' from '/Users/timhsu/anaconda/lib/python3.5/site-packages/mpl_toolkits/__init__.py'>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import mpl_toolkits\n",
    "mpl_toolkits."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "## Parks"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "count_occurence(PARKS_NM)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "## Premise"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "count_occurence(PREM_TYP_DESC)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "## Housing Development"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "count_occurence(HADEVELOPT)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "## Jurisdiction"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "count_occurence(JURIS_DESC)"
   ]
  }
 ],
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