finalNotebook.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 131,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Import the data sets: prosecutor, sentencing, flagged cases."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "pros = pd.read_csv('Emory-Prosecutor Data-02-23-2023_name_rem.csv')\n",
    "sent = pd.read_csv('Emory-Sentencing Information-02-27-2023_name_rem.csv')\n",
    "flagged = pd.read_csv('/Users/clairefenton/Downloads/2023-03-02_name_removed/Flagged Cases-02-23-2023_name_rem.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Define all the policy-eligible statutes based on the document provided by the District Attorney's Office. Each list contains statutes that apply to a different section fo the policy. Combine all the eligible statutes across the different policy sections."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "metadata": {},
   "outputs": [],
   "source": [
    "vgsca = ['16-13-30a', '16-13-30b', '16-13-30l2', '16-13-30i1', '16-13-30i2', '16-13-24', '16-13-26', '16-13-1c', '16-13-1b', '16-13-3', '16-13-21', '16-13-30.1', '16-13-30.2']\n",
    "forgery = ['16-9-1a', '16-9-1b', '16-9-1c', '16-9-1d', '16-9-1e']\n",
    "fraud = ['16-9-121a1', '16-9-121a2', '16-9-121a3', '16-9-121a4', '16-9-121a5', '16-9-33', '16-9-31']\n",
    "theft = ['16-18-4']\n",
    "burglary = ['16-7-1b', '16-7-1c', '16-8-18']\n",
    "eligible = vgsca + forgery + fraud + theft + burglary"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Merge the prosecutor and sentencing data sets using a left join so that case, attorney and defendant demographic information is all in one place."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "metadata": {},
   "outputs": [],
   "source": [
    "sent['Matching_ID'] = sent.CaseNbr + sent.PartyID.astype(str)\n",
    "pros['Matching_ID'] = pros.CaseNumber + pros.UniquePersonID.astype(str)\n",
    "\n",
    "Merged = sent.merge(pros, on='Matching_ID', how='left')\n",
    "Merged.to_csv(\"test.csv\")\n",
    "\n",
    "col_values = []\n",
    "for col in Merged:\n",
    "    col_values.append(Merged[col].unique())\n",
    "\n",
    "col_names = []\n",
    "for col in Merged.columns:\n",
    "    col_names.append(col)\n",
    "\n",
    "uniqe_value = {col_names[i]: col_values[i] for i in range(len(col_names))}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "Merged.Degree.value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "There are 389,119 felony charges in the joined data set.\n",
    "\n",
    "Define a function for standardizing the format of the statutes to account for human error. Removes all whitespaces, parentheses, extraneous dashes and sets all the letters to lower case."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "metadata": {},
   "outputs": [],
   "source": [
    "def formatStatute(statute):\n",
    "    statute = statute.lower()\n",
    "    statute = statute.replace('(', '').replace(')', '').replace('s', '').replace(' ', '')\n",
    "    if statute.count('-') >= 3:\n",
    "        index = -1\n",
    "        while statute.count('-') > 2:\n",
    "            if statute[index] == '-':\n",
    "                statute = statute[:index] + statute[(index + 1):]\n",
    "            else:\n",
    "                index = index - 1\n",
    "    return statute "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Clean all the statutes in the merged data set."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "metadata": {},
   "outputs": [],
   "source": [
    "messyStatutes = Merged.Statute.copy()\n",
    "for i in range(0, len(messyStatutes)):\n",
    "    messy = messyStatutes[i]\n",
    "    if type(messyStatutes[i]) != float:\n",
    "        messyStatutes[i] = formatStatute(messy)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Add the cleaned statutes back into the merged data set as a separate column, `cleanedStatute`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 138,
   "metadata": {},
   "outputs": [],
   "source": [
    "Merged['cleanedStatute'] = messyStatutes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of cases:  1993\n",
      "Number of flagged cases:  2119\n"
     ]
    }
   ],
   "source": [
    "print('Number of cases: ', len(flagged[flagged['CaseFlagWord'] == 'CBL']['ControlNum'].unique()))\n",
    "print('Number of flagged cases: ', len(flagged[flagged['CaseFlagWord'] == 'CBL']))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "There are 1993 unique case numbers in the flagged data set and 2119 observations flagged with the CBL tag (policy eligible) in the merged data set.\n",
    "\n",
    "Merge the `Merged` data set with the flagged data set, which contains 1,154,945 observations."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "result = pd.merge(flagged, Merged, left_on = 'ControlNum', right_on = 'CaseNumber', how = 'right')\n",
    "result = result[(result['CaseNbr'].str.contains(\"CR\")) | (result['CaseNbr'].str.contains(\"D\"))]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Look for where and how frequently null values occur."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "result.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 142,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.6635574848340517"
      ]
     },
     "execution_count": 142,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(result[(result['Degree'] == 'Felony') | (result['Degree'] == 'Serious Felony')])/len(result['Degree'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In the final data set, 66.36% of the charges are felonies."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "markedCBL = result[result['CaseFlagWord'] == 'CBL'].cleanedStatute.unique()\n",
    "print('Number of different statutes for flagged cases: ', len(markedCBL))\n",
    "print('Number of eligible statutes according to DA\\'s Office: ', len(eligible))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "There are 233 different statutes represented in the cases flagged as CBL, which is far more than the 29 included in the official statute list from the DA's Office.\n",
    "\n",
    "Extract only the cases which are flagged as \"CBL\" from the flagged data set."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 144,
   "metadata": {},
   "outputs": [],
   "source": [
    "cbl = flagged[flagged['CaseFlagWord'] == 'CBL']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "unaccountedFor = []\n",
    "for case in list(cbl['ControlNum']):\n",
    "    if case not in list(Merged['CaseNumber']):\n",
    "        unaccountedFor.append(case)\n",
    "len(unaccountedFor)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "There are 357 case numbers marked as CBL that do not appear in the prosecuting and sentencing data set. All these charges can not be included in the final analysis since there is no information regarding the statutes, temporal markers, disposition information or defendant demographics for any of them. \n",
    "\n",
    "Specify the charge dispositions which indicate the policy was applied, a list of which the DA's Office provided. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 146,
   "metadata": {},
   "outputs": [],
   "source": [
    "statutes = eligible\n",
    "dispositions = ['Pre Trial Diversion - Restrict', 'Dismissed - Converted', 'Not Presented to Grand Jury - Restrict - Converted', 'Nolle Prosse - Converted', 'Dismissed - Completed Pretrial Diversion', 'Dismissed', 'Dismissed - Restrict', 'Dismissed - Restricted', 'Nolle Prosse - Restrict', 'Not Presented to Grand Jury - Restrict']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Specify serious felonies as indicated in a list which the DA's Office provided. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 147,
   "metadata": {},
   "outputs": [],
   "source": [
    "svf = ['16-10-32a3', '16-10-70b', '16-11-1', '16-11-133b', '16-11-160', '16-11-1602bi', '16-11-160a2', '16-11-160a1', '16-11-160c', '16-11-1a', '16-13-30b', '16-13-2012', '16-13-31b', '16-13-31d', '16-13-31f', '16-13-31.1a', '16-5-1a', '16-5-1c', '16-5-1d', '16-5-24a', '16-5-24c1', '16-5-24g', '16-5-40a', '16-5-44', '16-5-44.1(b)(1)', '16-5-44.1(b)(2)', '16-5-46(c)', '16-5-72(a)', '16-5-80(b)', '16-6-1(a)', '16-6-2(a)(2)', '16-6-22', '16-6-22.2(b)', '16-6-22a', '16-6-3(a)', '16-6-4(c)', '16-6-5(a)', '16-7-5(b)', '16-7-88(a)', '16-7-88(b)', '16-8-41(a)', '16-8-41(c)(1)', '17-10-16a', '17-10-6.1b1-2', '17-10-7', '17-10-7c']\n",
    "for i in range(0, len(svf)):\n",
    "    messy = svf[i]\n",
    "    svf[i] = formatStatute(messy)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Collect a bank of all the eligible statutes — those flagged in a CBL case and misdemeanors — in a list."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 148,
   "metadata": {},
   "outputs": [],
   "source": [
    "eligibleDis = list(result[(result['CaseFlagWord'] == 'CBL') | (result['Degree'] == 'Misdemeanor')].cleanedStatute.unique())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Collect a bank of the reamining, ineligible statutes in a separate list."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 149,
   "metadata": {},
   "outputs": [],
   "source": [
    "noneligibleDis = []\n",
    "\n",
    "for i in result.cleanedStatute.unique():\n",
    "    if i not in eligibleDis:\n",
    "        noneligibleDis.append(i)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Examine each case brought against a person and collect all the charges associated with it for each defendant. If the defendant has no ineligible charges brought against them, they are added to a dictionary containing all the case-defendant pairings that are eligible for the policy."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 150,
   "metadata": {},
   "outputs": [],
   "source": [
    "defendantsDiscretion = {}\n",
    "\n",
    "groupedPersons = result.groupby('Matching_ID')\n",
    "\n",
    "for group in groupedPersons:\n",
    "    crimes = list(group[1].cleanedStatute.unique())\n",
    "    if bool(set(crimes) & set(noneligibleDis)):\n",
    "        defendantsDiscretion[group[1].Matching_ID.unique()[0]] = False\n",
    "    else:\n",
    "       defendantsDiscretion[group[1].Matching_ID.unique()[0]] = True \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 151,
   "metadata": {},
   "outputs": [],
   "source": [
    "result = result.reset_index()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Determine eligibility based on following critieria for a defendant's charges:\n",
    "1. Misdemeanor\n",
    "2. Flagged as CBL\n",
    "3. All appear under cases flagged as CBL\n",
    "\n",
    "Determine if the policy was applied based on the following criteria:\n",
    "1. Eligible according to above criteria\n",
    "2. Disposition in list provided by DA's Office"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 152,
   "metadata": {},
   "outputs": [],
   "source": [
    "disFlag = []\n",
    "disApplied = []\n",
    "for i in range(0, len(result)):\n",
    "    value = defendantsDiscretion[result['Matching_ID'][i]]\n",
    "    disFlag.append(value)\n",
    "    if ((value == True) & (result['ChargeDisposition'][i] in dispositions)):\n",
    "        disApplied.append(True)\n",
    "    else:\n",
    "        disApplied.append(False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Append the eligibility and applied information to the data set as the `CaseFlagDiscretion` and `PolicyAppliedDiscretion` columns."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 153,
   "metadata": {},
   "outputs": [],
   "source": [
    "result['CaseFlagDiscretion'] = disFlag\n",
    "result['PolicyAppliedDiscretion'] = disApplied"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "result[(result['CaseFlagDiscretion'] == True) & (result['CaseFlagWord'] == 'CBL') & (result['PolicyAppliedDiscretion'] == False)]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "There are 859 charges which were eligible and flagged as CBL but not dismissed under the policy."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 155,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Eligible Charges:  319623\n",
      "Applied Charges:  49113\n"
     ]
    }
   ],
   "source": [
    "print(\"Eligible Charges: \", len(result[result['CaseFlagDiscretion'] == True]))\n",
    "print(\"Applied Charges: \", len(result[result['PolicyAppliedDiscretion'] == True]))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Including misdemeanors, which make up the majority of charges, there are 319,623 charges eligible for dismissal under the policy and 49,113 had the policy applied. Since misdemeanors were already up for dismissal before the policy implementation, examining the non-violent felonies only is important for seeing how the policy is put into practice."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 156,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Eligible Charges:  199386\n",
      "Applied Charges:  30608\n"
     ]
    }
   ],
   "source": [
    "onlyFel = result[(result['Degree'] != 'Misdemeanor') & (result['CaseFlagDiscretion'] == True)]\n",
    "print(\"Eligible Charges: \", sum(onlyFel['CaseFlagDiscretion']))\n",
    "print(\"Applied Charges: \", len(onlyFel[onlyFel['PolicyAppliedDiscretion'] == True]))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Excluding misdemeanors, there are 199,386 charges eligible for dismissal under the policy and 30,608 had the policy applied. However, most of the eligible charges fall outside the data range of the policy. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 157,
   "metadata": {},
   "outputs": [],
   "source": [
    "import datetime\n",
    "import math"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Format the `DateFiled`, `CaseOriginDate` and `DispositionDate` columns as `datetime` objects and re-append them to the data frame as `FormattedDateFiled`, `FormattedCaseOriginDate` and `FormattedDispositionDate`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 158,
   "metadata": {},
   "outputs": [],
   "source": [
    "FormattedDispositionDate = pd.to_datetime(result['DispositionDate'])\n",
    "FormattedCaseOriginDate = pd.to_datetime(result['CaseOriginDate'])\n",
    "FormattedDateFiled = pd.to_datetime(result['DateFiled'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 159,
   "metadata": {},
   "outputs": [],
   "source": [
    "result['FormattedDispositionDate'] = FormattedDispositionDate\n",
    "result['FormattedCaseOriginDate'] = FormattedCaseOriginDate\n",
    "result['FormattedDateFiled'] = FormattedDateFiled"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Sort the data set by `FormattedCaseDate`, from earliest to latest."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 160,
   "metadata": {},
   "outputs": [],
   "source": [
    "result = result.sort_values(by='FormattedCaseOriginDate')\n",
    "result = result.reset_index()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Not all the observations in the data have a `CaseOriginDate` value, making it difficult to be certain about whether or not a charge occurred berfore, after or concurrent with a defendant's first arrest. Therefore, extract a subset of the data containing only observations for which `CaseOriginDate` is not null when examining recidivism data that contains 67,839 individuals, 31.72% of those in the entire data set."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 161,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of individuals for which recidivism can be analyzed:  67839\n",
      "Percentage of individuals for which recidivism can be analyzed:  0.31722554488873095\n"
     ]
    }
   ],
   "source": [
    "recidAvailable = result[pd.notnull(result['CaseOriginDate'])]\n",
    "print('Number of individuals for which recidivism can be analyzed: ', len(recidAvailable.PartyID.unique()))\n",
    "print('Percentage of individuals for which recidivism can be analyzed: ', len(recidAvailable.PartyID.unique())/len(result.PartyID.unique()))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Create recidivism variable that identifies defendants who have previously appeared in the data set according to the `CaseOriginDate`.\n",
    "\n",
    "Collect all the defendants' `PartyID` values. Loop through every observation for which recidivism information can be determined. If the defendant's `PartyID` has not be seen previously, the observation is the defendant's first (or only) arrest. Otherwise, the defendant is a recidivist and has had an earlier arrest."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 162,
   "metadata": {},
   "outputs": [],
   "source": [
    "allParties = list(recidAvailable.PartyID.unique())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 163,
   "metadata": {},
   "outputs": [],
   "source": [
    "visitedCases = []\n",
    "earlierArrest = []\n",
    "\n",
    "for i in range(0, len(recidAvailable)):\n",
    "    if recidAvailable['PartyID'][i] in allParties:\n",
    "        visitedCases.append(recidAvailable['Matching_ID'][i])\n",
    "        delete = allParties.index(recidAvailable['PartyID'][i])\n",
    "        del allParties[delete]\n",
    "        earlierArrest.append(False)\n",
    "    elif recidAvailable['Matching_ID'][i] in visitedCases:\n",
    "        earlierArrest.append(False)\n",
    "    else:\n",
    "        earlierArrest.append(True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Add the recidivism information to the subset of the data frame containing only non-null `CaseOriginDate` values as an `EarlierArrest` column."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "recidAvailable['EarlierArrest'] = earlierArrest"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "check = result[['CaseNbr', 'PartyID', 'ChargeID', 'Degree', 'cleanedStatute', 'CaseFlagWord', 'CaseFlagDiscretion', 'CaseOriginDate']]\n",
    "check[(check['CaseFlagDiscretion'] == True) & (check['Degree'] != 'Misdemeanor') & (check['CaseFlagWord'] == 'CBL')]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "There are 2,823 non-misdemeanor charges with perfect alignment: we marked as eligible according to `CaseFlagDiscretion` and they are flagged as CBL in `CaseFlagWord`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 166,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "199386\n"
     ]
    }
   ],
   "source": [
    "allEligibleFel = check[((check['CaseFlagDiscretion'] == True) | (check['CaseFlagWord'] == 'CBL')) & (check['Degree'] != 'Misdemeanor')]\n",
    "print(len(allEligibleFel))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "There are 199,386 eligible non-misdemeanor charges across the entire data set."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 167,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "CBL        2823\n",
       "DCAP       1834\n",
       "DCAPREF     272\n",
       "Name: CaseFlagWord, dtype: int64"
      ]
     },
     "execution_count": 167,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "flaggedTrue = allEligibleFel[allEligibleFel['CaseFlagDiscretion'] == True]\n",
    "flaggedTrue.CaseFlagWord.value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "There are only 2,823 total CBL flags appearing in all the eligiblee non-misdemeanor charges, and only 4,929 total observations containing a `CaseFlagWord` value. Most eligible cases do not have any `CaseFlagWord` data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 168,
   "metadata": {},
   "outputs": [],
   "source": [
    "cblEligible = recidAvailable[['CaseNbr', 'PartyID', 'ChargeID', 'Degree', 'cleanedStatute', 'CaseFlagWord', 'CaseFlagDiscretion', 'PolicyAppliedDiscretion', 'CaseOriginDate']]\n",
    "cblEligible = cblEligible[cblEligible['CaseFlagWord'] == 'CBL']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "There are many statutes corresponding with CBL cases that are not included in the list of statutes provided by the DA's Office. Such instances might be examples of prosecutors using discretion and dismissing ineligible cases in the spirit of the policy, or could result from unobservable factors about the defendant, such as their prior arrest record outside of DeKalb County. These statutes could also correspond to misdemeanor offenses, which would not appear on the list provided by the DA's Office but would still be policy eligible.\n",
    "\n",
    "The `cblEligible` subset, which contains all CBL cases for which recidivism can be analyzed, is what must be used to calculate the policy applied rate."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 169,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CBL eligible charges:  4252\n",
      "Applied charges:  3394\n",
      "Percentage of CBL charges deemed applied:  0.7982126058325494\n"
     ]
    }
   ],
   "source": [
    "print(\"CBL eligible charges: \", len(cblEligible[cblEligible['CaseFlagDiscretion'] == True]))\n",
    "print(\"Applied charges: \", len(cblEligible[cblEligible['PolicyAppliedDiscretion'] == True]))\n",
    "print(\"Percentage of CBL charges deemed applied: \", len(cblEligible[cblEligible['PolicyAppliedDiscretion'] == True])/len(cblEligible))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Three are 4,252 CBL eligible charges and 3,394 had the policy applied, a 79.82% dismissal rate."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 170,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Percentage of CBL charges which are not misdemeanors:  0.6632173095014111\n",
      "Percentage of applied CBL charges which are not misdemeanors:  0.5195202257761053\n"
     ]
    }
   ],
   "source": [
    "print(\"Percentage of CBL charges which are not misdemeanors: \", len(cblEligible[cblEligible['Degree'] != 'Misdemeanor'])/len(cblEligible))\n",
    "print(\"Percentage of applied CBL charges which are not misdemeanors: \", len(cblEligible[(cblEligible['Degree'] != 'Misdemeanor') & (cblEligible['CaseFlagDiscretion'] == True) & (cblEligible['PolicyAppliedDiscretion'] == True)])/len(cblEligible))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 171,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.15144680788337092"
      ]
     },
     "execution_count": 171,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(recidAvailable[recidAvailable['EarlierArrest'] == True].PartyID.unique())/len(recidAvailable.PartyID.unique())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Around 15% of defendants for which recidivism within DeKalb County can be analyzed are recidivists. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Import `datetime` and  `matplotlib` packages for creating charts."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 172,
   "metadata": {},
   "outputs": [],
   "source": [
    "from matplotlib import pyplot"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Separate the eligible and ineligible populations according to `CaseFlagDiscretion` and only include cases pending in the DA's Office after March 13, 2020."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 173,
   "metadata": {},
   "outputs": [],
   "source": [
    "eligibleByDiscretion = recidAvailable[(recidAvailable['CaseFlagDiscretion'] == True) & (recidAvailable['FormattedDispositionDate'] > datetime.datetime(2020, 3, 13))]\n",
    "ineligibleByDiscretion = recidAvailable[(recidAvailable['CaseFlagDiscretion'] == False) & (recidAvailable['FormattedDispositionDate'] > datetime.datetime(2020, 3, 13))]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For all charges appearing after March 13, 2020, determine whether the given case is the first for the defendant since the policy implementation or whether they already had an arrest prior to their current one. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 174,
   "metadata": {},
   "outputs": [],
   "source": [
    "allParties = list(eligibleByDiscretion['PartyID'].unique())\n",
    "eligibleByDiscretion = eligibleByDiscretion.sort_values(by='FormattedDispositionDate')\n",
    "del eligibleByDiscretion['level_0']\n",
    "eligibleByDiscretion = eligibleByDiscretion.reset_index()\n",
    "dismissedDefendants = {}\n",
    "\n",
    "subset = eligibleByDiscretion[['PartyID', 'Matching_ID', 'FormattedDispositionDate', 'FormattedCaseOriginDate']]\n",
    "for i in range(0, len(subset)):\n",
    "    if subset.loc[i][0] not in dismissedDefendants:\n",
    "        dismissedDefendants[subset.loc[i][0]] = [subset.loc[i][2]]\n",
    "\n",
    "multArrests = []\n",
    "for i in range(0, len(recidAvailable)):\n",
    "    if recidAvailable['PartyID'][i] in dismissedDefendants.keys():\n",
    "        if recidAvailable['FormattedCaseOriginDate'][i] > dismissedDefendants[recidAvailable['PartyID'][i]][0]:\n",
    "            multArrests.append(True)\n",
    "        else:\n",
    "            multArrests.append(False)\n",
    "    else:\n",
    "        multArrests.append(False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Append `ArrestSincePolDisposition` column to the data set, which contains a boolean value indicating whether or not the defendant associated with a particular charge has had a prior arrest since the policy implementation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "recidAvailable['ArrestSincePolDisposition'] = multArrests"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 176,
   "metadata": {},
   "outputs": [],
   "source": [
    "eligibleByDiscretion = recidAvailable[(recidAvailable['CaseFlagDiscretion'] == True) & (recidAvailable['FormattedDispositionDate'] > datetime.datetime(2020, 3, 13))]\n",
    "ineligibleByDiscretion = recidAvailable[(recidAvailable['CaseFlagDiscretion'] == False) & (recidAvailable['FormattedDispositionDate'] > datetime.datetime(2020, 3, 13))]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Since the novelty of the policy concerns only non-violent felonies, for the purpose of our analysis we want to exclude all defendants from the policy eligible group who have only committed misdemeanor crimes. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 177,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "856\n"
     ]
    }
   ],
   "source": [
    "test = pd.DataFrame(eligibleByDiscretion.groupby('Matching_ID')['Degree'].apply(lambda x: list(np.unique(x)))).reset_index()\n",
    "onlyMisdemeanors = []\n",
    "for i in range(len(test)):\n",
    "    if test.Degree[i] == ['Misdemeanor']:\n",
    "        onlyMisdemeanors.append(test.Matching_ID[i])\n",
    "print(len(onlyMisdemeanors))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Separate the eligible, policy applied group from the eligible, policy not applied group. The policy applied group includes all CBL charges for which `PolicyAppliedDiscretion` is true and the case does not contain only misdemeanors. The policy not applied group includes all other charges and excludes all cases with only misdemeanors. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 178,
   "metadata": {},
   "outputs": [],
   "source": [
    "eligibleByDiscretionApplied = eligibleByDiscretion[((eligibleByDiscretion['CaseFlagWord'] == 'CBL') & (eligibleByDiscretion['PolicyAppliedDiscretion'] == True)) & (-eligibleByDiscretion['Matching_ID'].isin(onlyMisdemeanors))]\n",
    "noDup = eligibleByDiscretionApplied.Matching_ID.unique()\n",
    "eligibleByDiscretionNotApplied = eligibleByDiscretion[(-eligibleByDiscretion['Matching_ID'].isin(noDup)) & (-eligibleByDiscretion['Matching_ID'].isin(onlyMisdemeanors))]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 179,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "6452"
      ]
     },
     "execution_count": 179,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(eligibleByDiscretionApplied.PartyID.unique()) + len(eligibleByDiscretionNotApplied.PartyID.unique())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 180,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "17775\n"
     ]
    }
   ],
   "source": [
    "print(len(eligibleByDiscretionApplied) + len(eligibleByDiscretionNotApplied))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "There are 6,452 policy eligible defendants spanning 17,775 charges up for analysis."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Isolate the recidivist charges since the policy implementation for applied and not applied groups."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 181,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1416 46\n",
      "0.03248587570621469\n"
     ]
    }
   ],
   "source": [
    "appliedIndividuals = eligibleByDiscretionApplied.PartyID.unique()\n",
    "appliedRecidivistsCharges = recidAvailable[(recidAvailable['PartyID'].isin(appliedIndividuals)) & (recidAvailable['ArrestSincePolDisposition'] == True)]\n",
    "numAppliedRecid = len(appliedRecidivistsCharges.PartyID.unique())\n",
    "print(len(appliedIndividuals), numAppliedRecid)\n",
    "print(numAppliedRecid/len(appliedIndividuals))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The applied group contains 46 recidivists from a population of 1,416, a 3.25% recidivism rate."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 182,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "5036 212\n",
      "0.04209690230341541\n"
     ]
    }
   ],
   "source": [
    "notAppliedIndividuals = eligibleByDiscretionNotApplied.PartyID.unique()\n",
    "notAppliedRecidivistsCharges = recidAvailable[(recidAvailable['PartyID'].isin(notAppliedIndividuals)) & (recidAvailable['ArrestSincePolDisposition'] == True)]\n",
    "numNotAppliedRecid = len(notAppliedRecidivistsCharges.PartyID.unique())\n",
    "print(len(notAppliedIndividuals), numNotAppliedRecid)\n",
    "print(numNotAppliedRecid/len(notAppliedIndividuals))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The not applied group contains 212 recidivists from a population of 5,036, a 4.21% recidivism rate. It seems as if the recidivism rate for the policy not applied group is higher, but is the difference statistically significant?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Perform a two sample Z-test for proportions to determine whether the two recidivism rates are statistically significantly different. The null hypothesis is that the two rates are the same. We are assuming that the two populations are normal, the two samples are randomly sampled and the two proportions are independent. \n",
    "\n",
    "phat1 = recidivism rate for policy applied\n",
    "phat2 = recidivism rate for policy not applied\n",
    "n1 = population size of policy applied\n",
    "n2 = population size of policy not applied\n",
    "k1 = number of recidvists in policy applied\n",
    "k2 = number of recidivists in policy not applied\n",
    "phat = mean rate of populations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 183,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-1.6307823122224447\n"
     ]
    }
   ],
   "source": [
    "phat1 = numAppliedRecid/len(appliedIndividuals)\n",
    "phat2 = numNotAppliedRecid/len(notAppliedIndividuals)\n",
    "n1 = len(appliedIndividuals)\n",
    "n2 = len(notAppliedIndividuals)\n",
    "k1 = numAppliedRecid\n",
    "k2 = numNotAppliedRecid\n",
    "phat = (k1 + k2)/(n1 + n2)\n",
    "\n",
    "numer = phat1-phat2\n",
    "denom = np.sqrt((phat * (1-phat)) * ((1/n1) + (1/n2)))\n",
    "\n",
    "z = numer/denom\n",
    "print(z)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "At the 95% confidence threshold, |z| < 1.96, meaning the difference in recidivism rates is not yet statistically significant. However, our data pool is fairly small, so we must determine how much longer the DA's Office must collect data for significance to reveal itself if it it exists.\n",
    "\n",
    "We are assuming the recivisim rates and the growth rates of n1 and n2 remain constant over time. Our date range spans March 13, 2020 to the latest avaialble case origin date present in the data set, Feb. 27, 2023. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 184,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1.3111111111111111 4.662962962962963\n"
     ]
    }
   ],
   "source": [
    "postPol = result[(result['FormattedCaseOriginDate'] > datetime.datetime(2020, 3, 13)) & (result['CaseFlagWord'] == 'CBL')]\n",
    "numDays = datetime.datetime(2023, 2, 27) - list(postPol.FormattedCaseOriginDate)[0]\n",
    "n1_rate = n1/numDays.days\n",
    "n2_rate = n2/numDays.days\n",
    "print(n1_rate, n2_rate)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The policy applied group is growing at a rate of 1.31 people per day and the not applied group is growing at a rate of 4.67 people per day."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 185,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-1.9575753866439862\n"
     ]
    }
   ],
   "source": [
    "proj_n1 = (1078 + 223) * n1_rate\n",
    "proj_n2 = (1078 + 223) * n2_rate\n",
    "phat = (k1 + k2)/(proj_n1 + proj_n2)\n",
    "\n",
    "numer = phat1-phat2\n",
    "denom = np.sqrt((phat * (1-phat)) * ((1/proj_n1) + (1/proj_n2)))\n",
    "z = numer/denom\n",
    "print(z)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The DA's Office must collect data for another 223 days for |z| < 1.96 and, therefore, reveal significance if it is present. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 186,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Months:  7.433333333333334\n",
      "Years:  0.6194444444444445\n"
     ]
    }
   ],
   "source": [
    "days_needed = 223\n",
    "months_needed = days_needed/30\n",
    "print('Months: ', months_needed)\n",
    "years_needed = months_needed/12\n",
    "print('Years: ', years_needed)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The data collection period is 7.4 months, or 0.62 years."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "VISUALS"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Bar chart displaying the top 5 most frequent statutes for policy applied recidivists' charges on initial CBL dismissals."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 187,
   "metadata": {},
   "outputs": [],
   "source": [
    "appliedRecid = appliedRecidivistsCharges.PartyID.unique()\n",
    "firstOffense = eligibleByDiscretionApplied[(eligibleByDiscretionApplied['ArrestSincePolDisposition'] == False) & (eligibleByDiscretionApplied['PartyID'].isin(appliedRecid))]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 188,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 3600x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "recidCount = firstOffense.cleanedStatute.value_counts().rename_axis('Statute').reset_index(name='Count')\n",
    "labels = recidCount.Statute\n",
    "counts = recidCount.Count\n",
    "\n",
    "#names = list(labels)[:5]\n",
    "names = ['Drug Possession', 'Theft by\\nShoplifting', 'Drug Possession\\n& Use', 'Marijuana\\nPossession', 'Giving False\\nInformation to Law\\nEnforcement Officer']\n",
    "values = list(counts)[:5]\n",
    "\n",
    "pyplot.figure(figsize=(50, 10))\n",
    "pyplot.subplot(131)\n",
    "pyplot.bar(names, values)\n",
    "pyplot.title('Top 5 Statutes for Initial CBL Dismissals of Recidivists', fontdict={'fontsize': 30})\n",
    "pyplot.xlabel('Statute', fontsize=24)\n",
    "pyplot.ylabel('Charges Count', fontsize=24)\n",
    "pyplot.xticks(rotation=30, fontsize=24)\n",
    "pyplot.yticks(fontsize=24)\n",
    "       \n",
    "pyplot.savefig('statute_initial_dismissal.png', dpi=300, bbox_inches='tight')\n",
    "\n",
    "pyplot.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Pie chart displaying the charge severity for policy applied recidivists' charges on initial CBL dismissals."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 189,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "([<matplotlib.patches.Wedge at 0x7ff334257790>,\n",
       "  <matplotlib.patches.Wedge at 0x7ff321f1aeb0>],\n",
       " [Text(-1.0587007824634076, -0.29858441555340554, 'Felony'),\n",
       "  Text(1.0587008104188933, 0.29858431643068367, 'Misdemeanor')],\n",
       " [Text(-0.5774731540709495, -0.1628642266654939, '58.7%'),\n",
       "  Text(0.5774731693193963, 0.1628641725985547, '41.2%')])"
      ]
     },
     "execution_count": 189,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x1080 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "recidCount = firstOffense.Degree.value_counts().rename_axis('Degree').reset_index(name='Count')\n",
    "labels = recidCount.Degree\n",
    "counts = recidCount.Count\n",
    "\n",
    "sizes = counts/sum(counts)\n",
    "colors = ['darkorange', 'gold', 'red'] \n",
    "\n",
    "fig, ax = pyplot.subplots(figsize = (15, 15))\n",
    "pyplot.title('Charge Degree for Initial CBL Dismissals of Recidivists', fontdict={'fontsize': 30})\n",
    "pyplot.savefig('pie_initial.png')\n",
    "ax.pie(sizes, labels=labels, autopct='%1.1f%%', textprops={'fontsize': 30}, colors=colors, startangle= 90)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Bar chart displaying the top 5 most frequent statutes for policy applied recidivists' charges for subsequent arrests."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 190,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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53lCfRU27KPD8LsfcXkO8vgIleEjK/cCrh/lufzvo8z6s2+c4xGuLM9Dy5ApGuE+kBBKdfb27l+Oxfm7N/aw6wn7mAI/p9Xgfw/H12Mb27gRmt93mEN9vUoLJBd4vpWCgk2a4+72VgKd12d82lN9tAqeOkK6Zp/sp45YMl3ZlBlrUPMCgFjc1zZKUAo/RHIM/aaR5L0PfqyxDKaTupNt+0OubNV77KTBrhPxvwAgtph5K148vfDz/GDmw/EzjtY+PsI3lKDWAnRPKAs0xmP9keznDNKWhBJd/aKTdrsV7O4xywv4xpTnTSyklR+8YdCAkZfCE5Vrs6yONbX21j9/PYY3tXg0sPYp1ul3YDxv0voc8MVFqkJuf0bDNxig1lZ10aw3x+gn1tbuBR3XJ/4ca23rqoNf+WZefO86/i60beThohHTj9Rs5mz4ElXW7Bw36Hkfzd8Uojp25Q7w+t/H6YUO83jzJ/oORT7KnjSI/zfe2dZf8JPCxEfb3eAaaz1w9VN7oHlh2CmPm0aWwijJYV+diucBvps/Hc/OzXOBzahyjzS4Kf2689ubG8h+NsJ9ZlBLZTtpn9fqd1TTDnsMoF/Kb6+v3MEJQOUI+N2js43sjpPt+I91mffgeftDY3laDXluKUiOVlHPFSL+NvQYd18NeJ4HXNdL9cIjXtx60rWGbllJqMjrpzuz1uxvN9w+8vfH6K7p8ns9spD1w0Gtz6vGRlJqNYX+PlBqFhz6Dlt/xsL81SkC0IaVGpdlUb8iCBPp0PqHc+3T2dQZjuLbQPbB8a+P174ywndWZvzvMYd0+x2Fe/0ZjG08fYX+/qWkeANbs5Xik1Ah3XhtTk9Nux/sYtvesxvYubLu9Yb7fe4F1R0jbvE6M+doFfLDbdpq/S+AzXbb3zkbaYe/DKYFvsyvOAscgpTVe5/VvddnvigwUQPxq0Gt7NLbTly5y033wnhfW//cDnx4uUZZOw53mD0FpmjGSL2fm3cNsKyk1NR1tmk18EVg9M3fNzI9n5g8y80eZ+enM3I5S09aZ2/LxjPAeR2HlxuNbW2xnJN/OzP/1eZtfz+Gb/P2+8fgB4OsjbOd3jccbNF+ozZE6TUmOz8xLu+Tpe43Hzxn02p31/5pRRuGdbOP5G3mwde6mnp0aj7+UmQ+MkPbzfd73Aww0xV5AZv6DUuAEpWnL5r1sPCKeyEBT5W9nGZxjJJ3jfBbzN20ab1tGGbyj8/eSiDgYuJDSBBnK8dxsNvnCxuOPD7fh+n02myG9cLi0LezAQHO+H2Tm30dKPJQsTezPqE93bQ660VGbQXXy/9ds2S0jytRenevZlZSam2ae7qQUgkK5+d5ulJs+PzN/OcLr36aU4gO8IEYeoOoW4DvDvZiZv6A0BwN48mgG3xiDV9T/11MC+2Fl5m8oQTgseK14HqVJHpQbx5F+j5/sNZOjNN9gLZSC1fMohdud7+EYShPJ+fT5fPKyxuP3jtO1pXmvNtK1sNOctK1mE9CXD5UgItZgoKvQaZl5TY/7uKvxeINhU02sibjXPDEz/zXC680pkdp8Ls0BhLYYRfovdnm9eX8x7P1D/S11a0L8isbjTw2bqmzvFkrzXIBnRERzVoE7G48f12WfozJt+1hGxKqUfjNQaoduHCk9pcaq0yet29xnp/Twek83d02ZOeKIYZl5RkS8kHKDEcDeEXFQZl471n2OszO6J+nZn0Z47YbG44sy87ZRph18k/Y0BkZIvjsidu6Sp+aoWIOHYD+ZMjXLSpR+XB8HTsoeRkTrl3H+jYzHdw1d+os23Nk9yZhs1nh8ape0p/V53+dn5g1d0vwGeG59vDml/+5oPb3xeJFRHOdrNB5P5FQDH+7y+q2UQWpOh4f6iHTOwzdl5jld1m8GOeMxD2ZzBL42fdm/TvnOlqDcRHxh0OuvqK9BqR1p6yWN7X2vFqIO9l0G+mC+ioGblZGMeD3NzHsj4veUQGspyo3gcMH4GZnZbRqC3zBwM7k5pXlXX9TCwk4wdT0lEO622n/r/8G/oea9Q7d7jj9TatEmcqqX/wB7ZuaJw7zez/NJ5zdzG4MKNPqhniM2rU9vrIV0IzmF0n2ojTMoBTRrA7tFxJuGOHZfxsC9R8/BbGbeFhFnUYKeZ0XETyjBzRlZpoxZWHW77jXvkRcolOuIiMdRzmdPozSlX56Bwp7B1hxm+UP7zMzLR9jXIpRaRoB/Z/c+6qdRWuIMp/P7uxd4dB2jZSSLN/4/klJQC6XS5S5KE9wP1ELMwzPzvC7bG9a0DSwpJaYdF48ifTPN6sOmKkasscrM/0TErZQ2+w8fKW1bmfn7iPgVpXR4Vv0/VGfkbm5uPF6hD1kbyngEvDcP90Jm3tO4qA+brmrO9Th4uoG5jcevrH+jNfikdQjlBmkD4ImUpmUPRMTfKDWsp1KG8L+L8Teev5HxKtz4Z2YeN07bHo3m7/mykRJm5i2N80A/dKspH5ym13PP3Mbjd9J9oJSmYS/OE+Aeyk3u+ZTCj+9kZnNAieUYGETlErrIzHkRcRvlJqLbcT4WzRuQC4dN1d0xlFLtlSmD+AwOLDuD9txJOc+0tXfj8XCl5adSmmGvBTw/IlbOzG7n3rEc18MFluP9G+lmLQYCgU0ofZxGa/BvqJm3bvccGRGXMdrBM0avOVjLbMqxux2lSfFKwHsj4g/D1EbObTwe8/kkyvRdnYD5n8MUaLS1PGUgFuj9GBqT+p19nzLYVKdV1ODjpVOTeRcDrQF6tR8lEF6O0tJoZ+B/EfEnStDwa+D3E9jCaCLuNbsNKDTS/V6noOEQyjE72pab3Qp1ut0TLc/AdWrEe4tRpplb/y9Gb+chaPz+ajzzNuCrlHPA24G3R8SNlBrbM4CfZ+aor2XTuSlscy7B0TS//G/jcbd5CEdTG9LZ5zKjSNvWaY3H3UolhnNd4/G6w6ZqZzyCpdGeDNucNNs0WZ2vdKs2OXgycDADtaSzKKWlb6acAG6IiA/F+M8TOG6/kQkKjCdD5+bj/lGW+Paz6Xcv5x3o/dzTt+N8nG2TmdH4WyIzH56Zz87MTw4KKqH34xwGjvWuc9KOQfMG5L/DpuoiM++h9BkG2DAiHqpdjYgnU/rCARzVpbVGV7XkvlOD9ufMvGiYPD3IQPPPxZi/CeNw+nlcj/dvpJs2v6HB878189br++qX32XmcfXvmCzzB+4AvJjS5+pJwHHDNE/u1/mkL7+XLibrsx62OWxEbMjAb/j4sbZqqk3gN6L0Ye1cl5em9O99P6UG+F8RMWRz3HHQvNdcOyLGowKrbZB8IGWAtUUoXVB+SRnNf2/Ksb9L/Ws2Ae82h3S3e6KlG4/7cQz2877165TBik5h4LNdlVJI8WnggihzaY+mOfC0DizvaDxeethUA5onljuGTVUs1eX15j7H60TY1CwBGmvNQbM/4hZd+rHMNM3vcK9BN7Xd/rYevLHMvCMz30spkd4EeBOliWfnhnhZygnrhBhFO6oWxvM3srDqnMxnj2oi4NF9rqPVy3kHej/3NNNv3eNxvleP+5pIvR7nMHCsj8dx3rxBbBvYfJ1ygw9lSg6GeNyPZrDN2srNY8FJ0pv98PYfZr3h9PO4Hu/fSDfN7R3W429o8Lm+ua1e39e4ysyjGejv/XRKLcZg/Tqf9PP3MpxJ+axrc8dO3+cdaz/mjmYfuVZTcmTm5Zm5J6WW+ZmUEUJ/wUCwMxf4bkQcOPQW+upCBu5Zl6T/teytRMSSlHlXoZz/n5SZ22fmhzLzsMw8ulPYQhl5tl+agWI/jsHOMX1Fr+ehzDxt8MYy8/TMfBYloNyFMgPGnxgINJ9KmY5u624Zn86B5fWNx+uNIn0zzXXDpioeNdKLddCEFUa5rX7oR2fo84DO3FHLMzDHkuZvwtCXzstQSvcz86+Z+aXM3IMyB+IulGZ9UJoc7TjsBtobz9/Iwqr5vh85UsLaF2GFPu57xPPOEGl6/Y7G5TifAm5noAS463EeEXMYKO0dj+O8OQBHq76pmXkJAwNR7B4Ry9Smgy+uy87PzD8Mvfbo1BqFsdZmbBQRG3VJ08/jerx/I9308zfUzFu3e46gy/loHBzEwKBK74mIlQe93pfPIjPvoPSthNJXbDwKW29j4Ma+12OorU7fycUpcy92+tu9pC6fR2ni31pm3p2Zp2bmwbXmeVXKjAOdwqn3D/E99lVtytzsM/yK4dJOkqcwELR9PUce62TtEV7r1W0MXKdG81vulqbz+1urzoXaF5l5cw2s352ZT6bM69nparEoXQYKgmkcWGYZiOTK+nSjerMwkuaIbN0mOn1mD6//uUvaftiq8Xg0feUWUH/szRGr3jNOTRSmo868VQA71ZN+39VA8zhK85SOLYdJ3o/9jedvZGHVHFlzmy5pt+7zvh8XEat1SdPMU6/nntMbj/sxCfiUUM9tnc9ilVEEOuN9nDcHtupHAV5ntOtlKDejL2GgZqcftZXPpRR6QZk+4oOj+Du6sX63WssRRxSuXQI6o/3+j4FRXYey5Si6ELT5jYyoNsPu5G/TiFirxeaax163e47NmdiBezojhX+uPl2eEqA09fN80hm1fQXKaPh9Vc8RnXP7qrXp90j6OQr2DymjWMNAAc7WDPTF/mEOP/J9K5n538z8BAP9NxdnwQEnm81K+xXUN0c83Tsi+hmgtdW8xo40siyMfuTrrmo3gs7Acg+LiMd0WWXrLq93fn+zgOe3yNqIsgwWuicDFVOb1lrfYU3bwLLq/FhmU+YoGlIt4X1DfZp07+j6hkHD8Q72tsbjY7tsq5WIeCoDB/eDzD+iYa++zEAt1qbAZ0dbOhgRS0bE4S32PWXVAOwX9en6DAyKMV6uaDwe7+B+vH4jC6vjG4/369Jk/C193vcsRhgFLiI2YOBccA293zSfTRkAB8oIgs/uOYdTV3Pgi3cNl6h+n+8YZr1++TkDrRJeWvtStXEcAxf11zDQDPYeWjahq5qB4Scz86Buf5RzRacP8su6BHuP63Ks7cVAF48TcuQpflZiYFTaBUTEcxioPTszM/89XNoWOtfBRYCPtdjOSZQRHQH2GmpKmYZ3jPDaePoSA03u3jCocLKf55PmiKgfGafC3eY1baimvQDUwr3R9B0elXp/0amRfHpEPIL5Wwj04zfczRWNx4PvOZrNhPvVBPgPDIwYvSzww3qPMSoR8ZZ67zsemv0bhx1vJCI2oQzE2E/N+4th7x9qq8hurUiOaDx+f0SMW1P5WvDRbIkz4n3rdA8sv8hAG/L/i4hdByeIiCUoJ63OCGw/rs2LRvJI4BuDa/Si+CilrTGU5qUnjyXjEfHKiHj2SIFdRGxJORl20hyRmVePZX9QhqamNKHqlI69ETiqnuiGy0NExG6Utua9jJY63byXgRulL3br6B4Rj4iIT0aZ0qO5/NCIePwI681m/v5R5441w6M0Xr+RhVKWgRA6peePB74w1E1ORBzE/C0J+uVdEbHAxaze0B3JwAn9c11uwBdQS+0PaCz6UUSMWCIbEY+NiK/2sp9JchgDc/6+NCIWCNBrUPklynRAUAap6TbNQ8+yzOV7SH26GPDTkYLLiNhopBL9LINIdUYC35yBKXF+nN3nDhxRPa46zfH/Rwliu6o1d53CuJXpXmL+7YhY4CauDgbRmaPxQeafI3o4n4qIBab5qttvjpjeZt7nkXyZgZYgL4uIz44UWEfEchHx5oh4VnN5Zs5j4OZwFeD7Q9UERMQbGWj6PKHq8dWpMV+aRqFNn88nR1Pup6C04jkiIobshxYRsyNiLF1IDmdgnIO9I2KvIba9DOU82+/a4U7gHJSC6851+KJsMf9sRGwcEe8bqaVLRKxCbYJLKTQePI1Ec4qMTeifPRkIRp5C6Z/35JFWiIjNo8yC8DnGb8C45uf96ohYZ4h8rEcpdOx3jHQYA93Z9o2Ilw6x7yUpA6StNPi1psz8EwMFo+tTrjMjHQezo8wL/YZBy18WEXuPVAtZv7fOdfOy2nx9WNO6KWRmXhFlmNyvUd7LMRFxPKWk5FZKf5tXMdBW+VrK0MzdHEdpF75xraW7ilJ9/hLKDwRKafE+9eQ6FptQSiyujohfUoZXn0cZoWpNSnOt5zAQVJ7P/DWlY5KZv4syN+b3KSVJL6IMG/8bStX69ZT3tiplxLId6D5/z7SXmedExOspTcsWp3R0fwelhOlSymeyAvAYSrOtLSjfzeBJbl8DvCYizqcMzf8PSu3F0pTjcA8G+oFdTJlSYNyM429kvDwmus+H1vGvHMPk86PwWkpt4FKUmpmnRMT3KBfJ1YDdKcfAmZT+B2vQfpQ6KKM/b0QZ1OloSuuEOynz5r0a6NQWnMUIkyuPJDN/GhEfojTHXhH4RUScQallu5JS6LQSpdZnK8o54AGGmNMtSif+zlyfV2bm3LHkqR8y846I2Jsyb+Qs4PMRsQvl9zWP8j29goE5CO9gfAvKPkW5QX4BpZ/OX6PMMXcaJQBekjLC93MogeI2DAQrQ/kGZdCc5o3OoX3I58sZGK302BoUj9Z3GQgo92b42t/jKKML/i0ivkX5bc2iNHl8ZWP/n83MbrXwPwOeDfy+XpvPoByfm1Nu2DtNhI/NzPGojSYz/1fPUadTApC3Ai+OiKMoN+23U66t61CuE9tQrilD9TV7N2VqjzUp19p/RMS3KdecFYEXUt7v5ZQ+WhuNx3vq4jOUAegWo7Ti+GQNivt2PsnMB2oB9pk1/cuAZ0bEkZTC1zspwfcmlGPubkqN76hl5q0RsR9lIL0AvhMRL6KcM26j/B73oZwrfkJ/uwscRznnLEv5HXeCpra1lcsDH6LMP/h7yvQQF9d9rUT5vF/KQJDy/cy8atA2zqAUqi9KKdjsBJ+dKTv+k5k9dxnIzJsiYlvKPLLrU869Z0aZBuVkSi3q7TVv61J+B21bd4wmX9dGxLGU39YKwLkR8XXKe16EUnH0Sso0JUfQx+tE/UzeBnyn7uv7EbE75Vi+jXI/tjflfuxoBgoEhru/eBXls92Qcp65LCKOofyObqrvYXXK7+Y5lM/6W4O2sR5lRNwvRsTJlPPz1QzEAU+nnL87rbc+Opo3OqX/KM1ksv4dNkya11FqZXKEv78Dc0fYz2mNtCtQai2G29btwI4t39fnuuS3+XcssHKfP9fHUi7So83DOcBzhtjOYY00w36+g9bppD9tmNdHvc1u2xrmONprhHTPpzQ7G81nchOwyqD1HxzluueO9vMaJp9bN7Z10CjS9/U30udj8aAejsPm3+d6PXYoo+ONeD6p6bahDFwx0me1FiXYTODcUby3rbvlB3hWl/2exQjnAsrFOikjxY30mb+aciEbzec85LYGHYMj7m8Ux8BpjPA59bCdnSgFJiO9nyuBTUZ5PA6Zl8brp42wnUUptVsPjOIzfsYo3lvzfH1xn3575zW2ucD5vcu6SzQ+6/uB1Ruv7dXY7l6UAGqkz+GbwCKjOM4OogTDd4+wrZOAJUbI94jf3Wi+/5ru0ZTr4mh+Q3cD2w+znfUpgeNw615NmRP5od/IRP/WKIUYnXU+OcTrrc8ndTvrDTomh/u7bIh15zvmRthHpxn3cNs+puaj8/ywbp/jKD/D7wzaz4OM4h5gpOORUjgzms88KQH1ksPs46MjrDfk76SH420F4CuUQGU0+by+fkezx/L9jiYtpZXFSMfZA5RWbFs3lh00lvPJMOu8k3LOHG7/R1Pu0TvPPz/Ctpal1LKP9jj40KD13z/K9e4F3j2a9zfdm8ICkJlfo5ycPw78jXKxu5dygP6MUgKwUWZeMcrt3Uq5sdyPUgJ0M+VH8S9K08LHZWZPpWVD+CSlJOQrwB8pF5Y7KCe8myilBp8HNs3MF2b3Sah7kpkXZuZzKX0tP0QptbqaEnzcQwmuzqj5fFJmbpKZfRm5bCrLzJ9SSppfRynJ7Hwm91JqPs6kHAPPBx6eC86p9zBKzfY3KDcdt1BOUndRbvp/QimN3WS0x2M/9Ps3srDLzFMptdOfAi6ifH+3UprRvJMyv9s1DJQEt2qS2NjvrylNTj5HKXm+k3LDdiblfPTUfpwLMvOblJq0d1D6/1xH+d13fvu/pfz2t2X40emaTdXmtc1TP2Tm8ZTS7/dThkq/mXJOvZEyuupbgMdk5jnDbqR/ebkvM/ejBAWfpxRG3Eo5H9wK/IVyLnlGZv52FJv8deNx60F7ImJTBmoI/s38Izl2lZl3MzCIzyxGKNnPzI9TboKPpLQA6pxPTwSem5mvzlFO4J6Z36PUUH6TMon43ZTf32+Al2XmjjVv4yrLXJ+bUgozDqf8Xm9n4Ps9l1LjsRcl6P7FMNu5mNLs/j2Uc/N/KfcC/wA+DGycmePdZaKbT1DeF5S+lvN1AenT+YQsXTA2orTsOYZyrHSuv9dRarreTYtB7zLzK5QanMMo1/d7KXNO/xp4aWa+iIFuMf00uHbyd22vt/W88WhKDfBRwD8px8+D9f8FlObhW2Xm7jnM/NOZeSDlvuUXlO/r3qHSjTGPt2bmGyjn5bdRfvOXUX4r91PO0X+lFF7sBKyVmV/JcRrQqObpZsp84wfUfd9Z//5FKQB4amZ+ZBz3/ylKa4bvUu4jOsfgycAembkb8zfHHvb+Isv0dntQjunPUd7PzZTP9r/AJZQa87cD62bm+wdt4mDKZ3Eg5fu/gvKbu59y/3oW5b5xg3oe7ypqxDrjRcRp1D5TueB8U5I0n9pvrtNf5QuZ+ZbJzM9Ei4iPMTCn4Qsz8yeTmZ+FXUT8jtIE+z5gzSyDgkxJtf/ad+rTvTPzsBbb2pqBJtcfzDJ4kCQttCLiTcAX6tNpdX1dKGosJWkSvLHx+NRhUy28OoOR/Gk6XfSmo1qI0ZmS4ydTOaiUJI1dRCxKGesBSkHi7ycxOz0zsJSkQSLi6UONBtt4fT9g3/r0WkrznhkjytQInREE9x8prfrig43HXxg2lSRpyoqIZWo3hOFeX5zSfLkzbdK0K0ic1qPCStI4+Q6wRET8nNJnYR5lMJZ1KaMFbtxI+7rx7A8yRW1DKZj8ZWaeNsl5WehExKOAR1H62ezCwAiVv87MaVV6LUl6yArA2RHRma7wAso4CstQRs7dnTLSPJQ+jpM1h+2YGVhK0tDWoIx2OJy7gNdk5oyqrQTIzGMZmApJ/fdyyhDwTf+hDComSZrensDA9FdDuQp4QWZeM0KaKcnAUpIW9GLgeZRRDNeiDE++FKUE8WLKCIJfzcwbJi2HmgkepDS1/i3w/sy8bJLzI0kau+spc9ZuTxndeFXKHK1BGc31XMrcn4dNxOjW42FGjgq7yiqr5Ny5cyc7G5IkSZI0Jn/5y19uysw5k52PjhlZYzl37lzOPvvsyc6GJEmSJI1JRFw52XloclRYSZIkSVIrBpaSJEmSpFamZGAZEW+LiPMj4h8R8cOIWCIiVoqIkyPikvp/xUb6AyLi0oi4KCK2m8y8S5IkSdJMM+UCy4hYA3gzsFlmPh6YBexBmYT7lMxcDzilPiciNqivP44yytJXImLWZORdkiRJkmaiKRdYVrOBJSNiNmWI/+uAnYDD6+uHAzvXxzsBR2bmPZl5OXApsMXEZleSJEmSZq4pF1hm5rXApyiTg14P3JaZvwJWy8zra5rrKXO/QJnE/OrGJq6pyyRJkiRJE2DKBZa17+ROwDrAw4GlI+LlI60yxLIFJueMiH0j4uyIOHvevHn9yawkSZIkaeoFlsCzgMszc15m3gccCzwVuCEiVgeo/2+s6a8B1mqsvyal6ex8MvPQzNwsMzebM2fKzCMqSZIkSdPeVAwsrwKeHBFLRUQA2wIXAicAe9Y0ewLH18cnAHtExOIRsQ6wHnDWBOdZkiRJkmas2ZOdgcEy808RcQxwDnA/8FfgUGAZ4KiI2IcSfO5W058fEUcBF9T0+2XmA5OSeUmSJEmagSJzge6IC73NNtsszz777MnOhiRJkiSNSUT8JTM3m+x8dEzFprCSJEmSpGnEwFKSJEmS1IqBpSRJkiSpFQNLSZIkSVIrBpaSJEmSpFYMLCVJkiRJrRhYSpIkSZJaMbCUJEmSJLViYClJkiRJasXAUpIkSZLUioGlJEmSJKkVA0tJkiRJUisGlpIkSZKkVmZPdgY0YO7+J012FjSBrjhkx8nOgiRJktQX1lhKkiRJkloxsJQkSZIktWJgKUmSJElqxcBSkiRJktSKgaUkSZIkqRUDS0mSJElSKwaWkiRJkqRWDCwlSZIkSa0YWEqSJEmSWjGwlCRJkiS1YmApSZIkSWrFwFKSJEmS1IqBpSRJkiSpFQNLSZIkSVIrBpaSJEmSpFYMLCVJkiRJrRhYSpIkSZJaMbCUJEmSJLViYClJkiRJasXAUpIkSZLUioGlJEmSJKkVA0tJkiRJUisGlpIkSZKkVgwsJUmSJEmtGFhKkiRJkloxsJQkSZIktWJgKUmSJElqxcBSkiRJktSKgaUkSZIkqRUDS0mSJElSKwaWkiRJkqRWDCwlSZIkSa0YWEqSJEmSWjGwlCRJkiS1YmApSZIkSWrFwFKSJEmS1IqBpSRJkiSpFQNLSZIkSVIrBpaSJEmSpFYMLCVJkiRJrRhYSpIkSZJaMbCUJEmSJLViYClJkiRJasXAUpIkSZLUypQLLCPi0RHxt8bf7RHx1ohYKSJOjohL6v8VG+scEBGXRsRFEbHdZOZfkiRJkmaaKRdYZuZFmblRZm4EbArcCfwE2B84JTPXA06pz4mIDYA9gMcB2wNfiYhZk5F3SZIkSZqJplxgOci2wL8y80pgJ+DwuvxwYOf6eCfgyMy8JzMvBy4FtpjojEqSJEnSTDXVA8s9gB/Wx6tl5vUA9f+qdfkawNWNda6pyyRJkiRJE2DKBpYRsRjwAuDobkmHWJZDbG/fiDg7Is6eN29eP7IoSZIkSWIKB5bADsA5mXlDfX5DRKwOUP/fWJdfA6zVWG9N4LrBG8vMQzNzs8zcbM6cOeOYbUmSJEmaWaZyYPkSBprBApwA7Fkf7wkc31i+R0QsHhHrAOsBZ01YLiVJkiRphps92RkYSkQsBTwbeG1j8SHAURGxD3AVsBtAZp4fEUcBFwD3A/tl5gMTnGVJkiRJmrGmZGCZmXcCKw9adjNllNih0h8MHDwBWZMkSZIkDTKVm8JKkiRJkqYBA0tJkiRJUisGlpIkSZKkVgwsJUmSJEmtGFhKkiRJkloxsJQkSZIktWJgKUmSJElqxcBSkiRJktSKgaUkSZIkqRUDS0mSJElSKwaWkiRJkqRWDCwlSZIkSa0YWEqSJEmSWjGwlCRJkiS1YmApSZIkSWrFwFKSJEmS1IqBpSRJkiSpFQNLSZIkSVIrBpaSJEmSpFYMLCVJkiRJrRhYSpIkSZJaMbCUJEmSJLViYClJkiRJasXAUpIkSZLUioGlJEmSJKkVA0tJkiRJUisGlpIkSZKkVgwsJUmSJEmtGFhKkiRJkloxsJQkSZIktWJgKUmSJElqxcBSkiRJktSKgaUkSZIkqRUDS0mSJElSKwaWkiRJkqRWDCwlSZIkSa0YWEqSJEmSWjGwlCRJkiS1YmApSZIkSWrFwFKSJEmS1IqBpSRJkiSpFQNLSZIkSVIrBpaSJEmSpFYMLCVJkiRJrRhYSpIkSZJaMbCUJEmSJLViYClJkiRJasXAUpIkSZLUioGlJEmSJKkVA0tJkiRJUisGlpIkSZKkVgwsJUmSJEmtGFhKkiRJkloxsJQkSZIktWJgKUmSJElqxcBSkiRJktSKgaUkSZIkqRUDS0mSJElSK1MysIyIFSLimIj4Z0RcGBFPiYiVIuLkiLik/l+xkf6AiLg0Ii6KiO0mM++SJEmSNNNMycAS+Dzwi8x8DPBE4EJgf+CUzFwPOKU+JyI2APYAHgdsD3wlImZNSq4lSZIkaQaacoFlRCwHPAP4FkBm3puZtwI7AYfXZIcDO9fHOwFHZuY9mXk5cCmwxUTmWZIkSZJmsikXWAKPBOYB34mIv0bENyNiaWC1zLweoP5ftaZfA7i6sf41dZkkSZIkaQJMxcByNrAJ8NXM3Bj4H7XZ6zBiiGW5QKKIfSPi7Ig4e968ef3JqSRJkiRpSgaW1wDXZOaf6vNjKIHmDRGxOkD9f2Mj/VqN9dcErhu80cw8NDM3y8zN5syZM26ZlyRJkqSZZsoFlpn5b+DqiHh0XbQtcAFwArBnXbYncHx9fAKwR0QsHhHrAOsBZ01gliVJkiRpRps92RkYxpuA70fEYsBlwN6UIPioiNgHuArYDSAzz4+IoyjB5/3Afpn5wORkW5IkSZJmnikZWGbm34DNhnhp22HSHwwcPJ55kiRJkiQNbco1hZUkSZIkTS8GlpIkSZKkVgwsJUmSJEmtGFhKkiRJkloxsJQkSZIktWJgKUmSJElqxcBSkiRJktSKgaUkSZIkqRUDS0mSJElSKwaWkiRJkqRWDCwlSZIkSa0YWEqSJEmSWjGwlCRJkiS1YmApSZIkSWrFwFKSJEmS1IqBpSRJkiSpFQNLSZIkSVIrBpaSJEmSpFYMLCVJkiRJrRhYSpIkSZJaMbCUJEmSJLViYClJkiRJasXAUpIkSZLUioGlJEmSJKkVA0tJkiRJUisGlpIkSZKkVgwsJUmSJEmtGFhKkiRJkloxsJQkSZIktWJgKUmSJElqxcBSkiRJktSKgaUkSZIkqRUDS0mSJElSKwaWkiRJkqRWDCwlSZIkSa0YWEqSJEmSWjGwlCRJkiS1YmApSZIkSWqlp8AyIi6LiD/2kP6MiPhX79mSJEmSJE0Xs3tMPxdYoof0awKP6HEfkiRJkqRpZLybwi4KPDjO+5AkSZIkTaJxCywjYjlgVeCW8dqHJEmSJGnyjdgUNiKeAGw0aPGSEfHKkVYDVgBeCMwC/twif5IkSZKkKa5bH8tdgPcPWrYc8J1RbDuAe4GPjSFfkiRJkqRpoltgeQXw28bzrYD7gDNHWOdB4HbgfOC7mXlRmwxKkiRJkqa2EQPLzDwcOLzzPCIeBP6TmduMd8YkSZIkSdNDr9ON7A3cNR4ZkSRJkiRNTz0FlrUGU5IkSZKkh4z3PJaSJEmSpIVcr01hiYhZwGuAFwGPB1bssp3MzJ73I0mSJEmaHnoK+CJiWeDXwGaU6URGtVqvmZIkSZIkTR+91iS+H9gcuAf4BnAccC1wd3+zJUmSJEmaLnoNLHcFEnh9Zh7W/+xIkiRJkqabXgfveThwP/D9cciLJEmSJGka6jWwnAfclZn3jUdmJEmSJEnTT6+B5S+AZSPiseORGUmSJEnS9NNrYPkh4Bbg8xGx6DjkR5IkSZI0zfQ6eE8ArwIOA86OiM8AZwN3jLRSZl41ptxJkiRJkqa8XgPLyxuPlwe+PYp1stf9RMQVlGD1AeD+zNwsIlYCfgTMBa4AXpyZt9T0BwD71PRvzsxf9rI/SZIkSdLY9doUNsbw1+s+OrbJzI0yc7P6fH/glMxcDzilPiciNgD2AB4HbA98JSJmjXGfkiRJkqQe9RT0ZeYiY/nrU153Ag6vjw8Hdm4sPzIz78nMy4FLgS36tE9JkiRJUhf9Cvr6LYFfRcRfImLfumy1zLweoP5ftS5fA7i6se41dZkkSZIkaQL02sdyojwtM6+LiFWBkyPinyOkjSGW5QKJSoC6L8AjHvGI/uRSkiRJkjQ1aywz87r6/0bgJ5SmrTdExOoA9f+NNfk1wFqN1dcErhtim4dm5maZudmcOXPGM/uSJEmSNKP0Olrrb8awj8zMbXvYx9LAIpl5R338HMr8mScAewKH1P/H11VOAH5Qpz55OLAecNYY8ilJkiRJGoNem8JuPcp0naaowRDNUrtYDfhJREDJ3w8y8xcR8WfgqIjYB7gK2A0gM8+PiKOAC4D7gf0y84Ee9ylJkiRJGqNeA8u9u7y+PLA5sCtwJ3AQZT7KUcvMy4AnDrH8ZmDIms/MPBg4uJf9SJIkSZL6o6fAMjMP754KIuKDwK+AvYAte8+WJEmSJGm6GJfBezLzUuB1wCbAAeOxD0mSJEnS1DCeo8KeDNwN7DGO+5AkSZIkTbLxnm7kQeafCkSSJEmStJAZz8DyqcBSwO3juA9JkiRJ0iTre2AZEbMjYhfg+5SpRn7d731IkiRJkqaOnkaFjYjLuiRZAliVMn9lADcB7xtb1iRJkiRJ00Gv81jOHWW6e4DjgQMy8/Ie9yFJkiRJmkZ6DSy36fL6/cCtwMWZed+YciRJkiRJmlZ6Ciwz8/TxyogkSZIkaXoa7+lGJEmSJEkLuV6bws4nIlYFNgHm1EXzgHMy88a2GZMkSZIkTQ9jCiwjYkvgI8DTh3n9t8B7M/P3LfImSZIkSZoGem4KGxGvA06lBJUBPADcWP8eqMu2Ak6LiNf2L6uSJEmSpKmop8AyIjYGvgTMAn4PbAcsm5mrZ+bqwLLA9vW1WcCX6jqSJEmSpIVUrzWW76jrHAVsnZknZ+Y9nRcz857M/BWlxvIYSnD59n5lVpIkSZI09fQaWG4FJPC2zHxwuET1tbfWtFuPNXOSJEmSpKmv18ByDnBrZl7fLWFmXgfcysCIsZIkSZKkhVCvgeXtwLIRsXS3hDXNcnUdSZIkSdJCqtfA8hxKv8k3jyLtW2rav/SaKUmSJEnS9NFrYHkoZTqRD0fERyJi+cEJImL1iPgM8CFKH8tD22dTkiRJkjRVze4lcWYeGxHfBV4BHAC8IyLOBa4FFgfWBtYDFqUEoIdn5k/6m2VJkiRJ0lTSU2BZ7QVcCOxP6UO5xRBpbgc+CnxqzDmTJEmSJE0LPQeWmZnAIRHxBeA5wCYMjPw6j9IP81eZeWffcilJkiRJmrLGUmMJQA0cj6t/kiRJkqQZqtfBeyRJkiRJmk/XwDIi3hwRv4mIr492oxHx9brOa9tlT5IkSZI01Y3YFDYiVgU+Rhnl9S09bPfLlPkrN42IozPzP2PPoiRJkiRpKutWY/kKYEngiMz8+2g3mpnnAd8FlgFePvbsSZIkSZKmum6B5XOABI4Yw7YPo8xl+dwxrCtJkiRJmia6BZYbUgLLP4xh22fWdTccw7qSJEmSpGmiW2C5EnBrZt7f64Yz8z7g1roNSZIkSdJCqltgeTewdIvtLwXc22J9SZIkSdIU1y2wvAFYLCLm9rrhus7idRuSJEmSpIVUt8DyzPr/RWPY9osHbUOSJEmStBDqFlj+hDKy6/4RsdZoNxoRawP/Rxm859ixZ0+SJEmSNNWNGFhm5vHA3ygD8JwSEZt022BEbAr8GlgROLduQ5IkSZK0kJo9ijR7UJqzrgv8KSJ+CZwAnAv8p6ZZCXgi8AJgO2AWcEtdV5IkSZK0EOsaWGbmxRHxTOAYSnC5Q/0bTgCXAS/KzIv7kktJkiRJ0pTVrY8lAJl5LqVG8l3ApZTgcai/S2uaJ2bm38Yhv5IkSZKkKWY0TWEByMw7gU8Dn46IhwOPBVauL98MXJiZ1/U/i5IkSZKkqWzUgWVTDSANIiVJkiRJo2sKK0mSJEnScAwsJUmSJEmtGFhKkiRJkloxsJQkSZIktWJgKUmSJElqxcBSkiRJktSKgaUkSZIkqRUDS0mSJElSK7P7ubGIeDywJbA4cHJmXtDP7UuSJEmSpp6eaiwjYruI+ENEfGKI1/YH/gp8GfgMcF5EvLs/2ZQkSZIkTVW9NoV9MfAk4O/NhRGxEXAwMAu4FriibvujEfG01rmUJEmSJE1ZvQaWT6r/fzVo+b5AAMcCczNzXeBLddkbWuVQkiRJkjSl9RpYrgrcm5k3DFq+PZDAxzLzwbrsI/W/NZaSJEmStBDrNbBcAbiruSAiVgfmAjdn5l86yzPzRuAOYLV2WZQkSZIkTWW9Bpa3A8tHxNKNZc+s/383RPoE7hlLxiRJkiRJ00OvgeV59f+rACIiKP0rEzi1mTAiVgSWA65vmUdJkiRJ0hTWa2B5BGVAns9ExEnAWcDTKc1jjxyU9hn1/4VjyVhEzIqIv0bEifX5ShFxckRcUv+v2Eh7QERcGhEXRcR2Y9mfJEmSJGlseg0sDwd+SJlWZAdgU+Be4I2ZOW9Q2pfX/6eMMW9vYf6gdH/glMxcr25zf4CI2ADYA3gcZRChr0TErDHuU5IkSZLUo54CyyxeBmwFvBt4PfC4zDysmS4iFqXMZfl54IReMxURawI7At9sLN6JEthS/+/cWH5kZt6TmZcDlwJb9LpPSZIkSdLYzB7LSpl5BnDGCK/fB7xrrJkCPgf8H7BsY9lqmXl93f71EbFqXb4G8MdGumvqMkmSJEnSBOi1Key4i4jnATc2py7ptsoQy3KI7e4bEWdHxNnz5g1utStJkiRJGqsx1VhGxHLAq4FnA2sBS2bmuoNe35nSeva7PW7+acALIuK5wBLAchHxPeCGiFi91lauDtxY019T89CxJnDd4I1m5qHAoQCbbbbZAoGnJEmSJGlseq6xjIinAP8EPglsB2wAzG2myczbKYPvHBYRW/ay/cw8IDPXzMy5lEF5fpOZL6f01dyzJtsTOL4+PgHYIyIWj4h1gPUoo9VKkiRJkiZAT4FlHVTnROBhwM+BVwC3DJP8a5Rmqru2yWDDIcCzI+ISSk3pIQCZeT5wFHAB8Atgv8x8oE/7lCRJkiR10WtT2HcBKwJHZOZeABHxqWHS/rz+33pMOQMy8zTgtPr4ZmDbYdIdDBw81v1IkiRJksau16awO1AGxnl/t4SZeQ1wF7DOGPIlSZIkSZomeg0s1wL+l5lXjTL9XcCSPe5DkiRJkjSN9BpY3gMsHhFd14uIpYEVgFt7z5YkSZIkabroNbC8mNIvc8NRpN21bv/vvWZKkiRJkjR99BpYHkcZ6fV9IyWKiEdTpiNJ4Ogx5UySJEmSNC30Glh+HrgK2CUifhwRT+9sIyKWjogtIuIQ4M/AHOBC4Nv9zLAkSZIkaWrpabqRzPxfROwA/AzYBdi58fLtjccBXAa8IDPva5tJSZIkSdLU1WuNJZl5IfBE4KPAtZQgsvl3I/BxYNPMvKx/WZUkSZIkTUU91Vh2ZObtwHuB90bEmsDqlCD1hsy8on/ZkyRJkiRNdWMKLJsy8xrgmj7kRZIkSZI0DfXcFFaSJEmSpKaeaiwj4hk9bv8e4FbgX5l5f4/rSpIkSZKmgV6bwp5GmZuyV/dGxOnApzPz5DGsL0mSJEmaonptCntV/buLgVFg7wduqH/3N5bfBVwN3AYsDjwH+EVEfLAvOZckSZIkTQk9BZaZORf4LLAoZS7LrYBlMvPhmflwYBngGcBJlNrQT2TmSsCjgG9QAs73RsRWfXsHkiRJkqRJ1VNgGRE7UgLLwzPzeZl5Rmbe13k9M+/LzN9l5vOBI4AvRMRzMvOyzHwt8DVKcPmGPr4HSZIkSdIk6rUp7DsofSwPHEXaAylB5Lsayz5R/z+1x/1KkiRJkqaoXgPLJwK3ZeZN3RLWNLcCmzSWXQHcAczpcb+SJEmSpCmq18BycWC5iFi2W8KaZjlgsSH2eWeP+5UkSZIkTVG9Bpb/qOv83yjSvguYBZzfWRARKwFLU0aQlSRJkiQtBHoNLL9K6Td5YER8NSIeOThBRKwTEV8G3kPpj/nVxsvb1P9/HUtmJUmSJElTz+xeEmfm4RGxJbAPsC+wb0T8G7i+JlkdeFh9HMC3M/PwxiZ2BK4Fjm+Va0mSJEnSlNFTYAmQma+JiD8A7wPmUoLJ1QcluxL4cGZ+e9C6rxpjPiVJkiRJU1TPgSVAZn4H+E5EbAJsDKxCqaGcB/w1M8/pXxYlSZIkSVNZT4FlRLy5PjwmM6+rAaRBpCRJkiTNYL3WWH4WeAD42jjkRZIkSZI0DfUaWN4EzM7Me8cjM5IkSZKk6afX6UbOAZaPiDnjkRlJkiRJ0vTTa2D5hbrO+8YhL5IkSZKkaainwDIzfw68E3hdRHw3Ip44PtmSJEmSJE0XvY4Ke1l9eD/wUuClEXEXcDNlUJ+hZGauO/YsSpIkSZKmsl4H75k7xLKl6t9wssd9SJIkSZKmkV4Dy23GJReSJEmSpGmrp8AyM08fr4xIkiRJkqanXkeFlSRJkiRpPgaWkiRJkqRWeu1j+ZCIWBt4CvBwYGkghkubmR8a634kSZIkSVNbz4FlRDwc+Drw3NEkp4wKa2ApSZIkSQupXuexXB44HXgkcBPwB2An4C7gx8BqwJOBZevrJ/Uzs5IkSZKkqafXGsu3AesCZwHbZ+atEfEgcFtmvhIgIpYC3gvsD9yfma/pZ4YlSZIkSVNLr4HlCyhNW9+VmbcOlSAz7wQOjIhFgbdHxGmZ+f122ZQkSZIkTVW9jgq7LvAgpQls02JDpP14/W+NpSRJkiQtxHoNLGcDt2fmA41l/wOWi4j5RoXNzJuAW4ENW+VQkiRJkjSl9RpYXgusEBHNGsprgFnAo5sJI2JJYAVgqTYZlCRJkiRNbb0GlhfX/49sLDuz/n/doLRvpUw38q/esyVJkiRJmi56DSxPogSLuzSWfbX+f1NEnBQRB0fECcBHKAP9HN4+m5IkSZKkqarXUWF/AjwTWKazIDP/HBHvBg4BdgC2pwSfAMcCn+5DPiVJkiRJU1RPgWVm/hvYbYjln4qInwG7AmsCtwEnZ+bJfcmlJEmSJGnK6rXGcliZeQFwQb+2J0mSJEmaHnrtYylJkiRJ0nwMLCVJkiRJrYypKWxEbA+8CHg8sCKw6AjJMzPXHct+JEmSJElTX0+BZUQsCvwI2KmzaBSrZa+ZkiRJkiRNH73WWL4b2JkSLJ4EHAdcC9zd11xJkiRJkqaNXgPLl1GCygMy8xPjkB9JkiRJ0jTT6+A9c4EHgS/2PyuSJEmSpOmo1xrLW4HFM/OucciLJEmSJGka6rXG8nRg+YhYazwyI0mSJEmafnoNLD9CGajn4+OQFwAiYomIOCsizo2I8yPig3X5ShFxckRcUv+v2FjngIi4NCIuiojtxitvkiRJkqQF9RRYZuY/KKPCbh8RP4+IrSNi6T7n6R7gmZn5RGCjuq8nA/sDp2TmesAp9TkRsQGwB/A4YHvgKxExq895kiRJkiQNY9g+lhHxQJd1n1P/iBhxOsvMzFH35czMBP5bny5a/5Iyd+bWdfnhwGmU6U92Ao7MzHuAyyPiUmAL4MzR7lOSJEmSNHYj1VhGn/56bW5LRMyKiL8BNwInZ+afgNUy83qA+n/VmnwN4OrG6tfUZZIkSZKkCTBSTeI6E5aLQTLzAWCjiFgB+ElEPH6E5ENVl+YCiSL2BfYFeMQjHtGPbEqSJEmSGCGwzMwrJzIjw+Th1og4jdJ38oaIWD0zr4+I1Sm1mVBqKJuj1K4JXDfEtg4FDgXYbLPNFgg8JUmSJElj03Mz1fEWEXNqTSURsSTwLOCfwAnAnjXZnsDx9fEJwB4RsXhErAOsB5w1oZmWJEmSpBms66A6EbE18Azgjsz87Gg2GhFvB5YBfpOZv+sxT6sDh9eRXRcBjsrMEyPiTOCoiNgHuArYDSAzz4+Io4ALgPuB/WpTWkmSJEnSBBgxsIyIJYDvUYK93XvY7tXAj4A9I+IxmXnfaFfMzPOAjYdYfjOw7TDrHAwc3EP+JEmSJEl90q0p7K7Aw4HTMvOY0W40M48GTgfmAruMOXeSJEmSpCmvW2C5M2WE1S+NYdtfpIzYuusY1pUkSZIkTRPdAstN6/9fj2HbnXU2G8O6kiRJkqRpoltguSpl0J47et1wZt4O3AGsNpaMSZIkSZKmh26BZYwiTbf1o8X6kiRJkqQprlvQeBOwdESs2OuG6zrL1G1IkiRJkhZS3QLLc+v/7cew7efW/+eNYV1JkiRJ0jTRLbD8OaUp63sjYvHRbrSmfQ9lRNmTxp49SZIkSdJU1y2wPAz4N/AY4OiIWLbbBiNiGeDous6NwOEt8yhJkiRJmsJGDCwz8y7gtZSaxx2B8yPiHRGx/uC0EbF+RLwTOL+mfRB4bd2GJEmSJGkhNbtbgsz8aUS8GvgqsCbwCeATEXEPcEtNtiLQaSobwD3Afpl5Qv+zLEmSJEmaSkY1lUhmHgZswUB/yQCWAFavf0swMK3IScCTM/Pbfc2pJEmSJGlK6lpj2ZGZfweeHxEPB7YGHgusXF++GbgQOD0zr+13JiVJkiRJU9eoA8uOzLwO+ME45EWSJEmSNA2NqimsJEmSJEnDMbCUJEmSJLViYClJkiRJasXAUpIkSZLUioGlJEmSJKkVA0tJkiRJUisGlpIkSZKkVgwsJUmSJEmtGFhKkiRJkloxsJQkSZIktWJgKUmSJElqxcBSkiRJktSKgaUkSZIkqRUDS0mSJElSKwaWkiRJkqRWDCwlSZIkSa0YWEqSJEmSWjGwlCRJkiS1YmApSZIkSWrFwFKSJEmS1IqBpSRJkiSpFQNLSZIkSVIrBpaSJEmSpFYMLCVJkiRJrRhYSpIkSZJaMbCUJEmSJLViYClJkiRJasXAUpIkSZLUioGlJEmSJKkVA0tJkiRJUisGlpIkSZKkVgwsJUmSJEmtGFhKkiRJkloxsJQkSZIktWJgKUmSJElqxcBSkiRJktSKgaUkSZIkqZXZk50BSRNv7v4nTXYWNIGuOGTHyc6CJElayFljKUmSJElqxcBSkiRJktSKgaUkSZIkqRUDS0mSJElSKwaWkiRJkqRWDCwlSZIkSa1MucAyItaKiFMj4sKIOD8i3lKXrxQRJ0fEJfX/io11DoiISyPioojYbvJyL0mSJEkzz5QLLIH7gXdk5mOBJwP7RcQGwP7AKZm5HnBKfU59bQ/gccD2wFciYtak5FySJEmSZqApF1hm5vWZeU59fAdwIbAGsBNweE12OLBzfbwTcGRm3pOZlwOXAltMaKYlSZIkaQabcoFlU0TMBTYG/gSslpnXQwk+gVVrsjWAqxurXVOXSZIkSZImwJQNLCNiGeDHwFsz8/aRkg6xLIfY3r4RcXZEnD1v3rx+ZVOSJEmSZrwpGVhGxKKUoPL7mXlsXXxDRKxeX18duLEuvwZYq7H6msB1g7eZmYdm5maZudmcOXPGL/OSJEmSNMNMucAyIgL4FnBhZn6m8dIJwJ718Z7A8Y3le0TE4hGxDrAecNZE5VeSJEmSZrrZk52BITwNeAXw94j4W112IHAIcFRE7ANcBewGkJnnR8RRwAWUEWX3y8wHJjzXkiRJkjRDTbnAMjN/x9D9JgG2HWadg4GDxy1TkiRJkqRhTbmmsJIkSZKk6cXAUpIkSZLUioGlJEmSJKkVA0tJkiRJUisGlpIkSZKkVgwsJUmSJEmtGFhKkiRJkloxsJQkSZIktWJgKUmSJElqxcBSkiRJktSKgaUkSZIkqRUDS0mSJElSKwaWkiRJkqRWDCwlSZIkSa0YWEqSJEmSWjGwlCRJkiS1YmApSZIkSWrFwFKSJEmS1IqBpSRJkiSpFQNLSZIkSVIrBpaSJEmSpFYMLCVJkiRJrRhYSpIkSZJaMbCUJEmSJLViYClJkiRJasXAUpIkSZLUioGlJEmSJKmV2ZOdAUnSwmvu/idNdhY0wa44ZMfJzoIkaRJYYylJkiRJasXAUpIkSZLUioGlJEmSJKkVA0tJkiRJUisGlpIkSZKkVgwsJUmSJEmtGFhKkiRJkloxsJQkSZIktWJgKUmSJElqxcBSkiRJktSKgaUkSZIkqZXZk50BSZKkfpi7/0mTnQVNoCsO2XGysyCpwcBSkiRJ6oGFGDOPBRnd2RRWkiRJktSKgaUkSZIkqRUDS0mSJElSKwaWkiRJkqRWDCwlSZIkSa0YWEqSJEmSWjGwlCRJkiS1YmApSZIkSWrFwFKSJEmS1IqBpSRJkiSpFQNLSZIkSVIrBpaSJEmSpFYMLCVJkiRJrRhYSpIkSZJaMbCUJEmSJLViYClJkiRJasXAUpIkSZLUypQLLCPi2xFxY0T8o7FspYg4OSIuqf9XbLx2QERcGhEXRcR2k5NrSZIkSZq5plxgCRwGbD9o2f7AKZm5HnBKfU5EbADsATyurvOViJg1cVmVJEmSJE25wDIzfwv8Z9DinYDD6+PDgZ0by4/MzHsy83LgUmCLicinJEmSJKmYcoHlMFbLzOsB6v9V6/I1gKsb6a6pyyRJkiRJE2S6BJbDiSGW5ZAJI/aNiLMj4ux58+aNc7YkSZIkaeaYLoHlDRGxOkD9f2Ndfg2wViPdmsB1Q20gMw/NzM0yc7M5c+aMa2YlSZIkaSaZLoHlCcCe9fGewPGN5XtExOIRsQ6wHnDWJORPkiRJkmas2ZOdgcEi4ofA1sAqEXEN8AHgEOCoiNgHuArYDSAzz4+Io4ALgPuB/TLzgUnJuCRJkiTNUFMusMzMlwzz0rbDpD8YOHj8ciRJkiRJGsl0aQorSZIkSZqiDCwlSZIkSa0YWEqSJEmSWjGwlCRJkiS1YmApSZIkSWrFwFKSJEmS1IqBpSRJkiSpFQNLSZIkSVIrBpaSJEmSpFYMLCVJkiRJrRhYSpIkSZJaMbCUJEmSJLViYClJkiRJasXAUpIkSZLUioGlJEmSJKkVA0tJkiRJUisGlpIkSZKkVgwsJUmSJEmtGFhKkiRJkloxsJQkSZIktWJgKUmSJElqxcBSkiRJktSKgaUkSZIkqRUDS0mSJElSKwaWkiRJkqRWDCwlSZIkSa0YWEqSJEmSWjGwlCRJkiS1YmApSZIkSWrFwFKSJEmS1IqBpSRJkiSpFQNLSZIkSVIrBpaSJEmSpFYMLCVJkiRJrRhYSpIkSZJaMbCUJEmSJLViYClJkiRJasXAUpIkSZLUioGlJEmSJKkVA0tJkiRJUisGlpIkSZKkVgwsJUmSJEmtGFhKkiRJkloxsJQkSZIktWJgKUmSJElqxcBSkiRJktSKgaUkSZIkqRUDS0mSJElSKwaWkiRJkqRWDCwlSZIkSa0YWEqSJEmSWjGwlCRJkiS1YmApSZIkSWrFwFKSJEmS1IqBpSRJkiSpFQNLSZIkSVIrBpaSJEmSpFYMLCVJkiRJrSw0gWVEbB8RF0XEpRGx/2TnR5IkSZJmioUisIyIWcCXgR2ADYCXRMQGk5srSZIkSZoZForAEtgCuDQzL8vMe4EjgZ0mOU+SJEmSNCMsLIHlGsDVjefX1GWSJEmSpHEWmTnZeWgtInYDtsvMV9fnrwC2yMw3NdLsC+xbnz4auGjCM6rhrALcNNmZ0IzgsaaJ5PGmieKxponisTa1rJ2ZcyY7Ex2zJzsDfXINsFbj+ZrAdc0EmXkocOhEZkqjExFnZ+Zmk50PLfw81jSRPN40UTzWNFE81jSShaUp7J+B9SJinYhYDNgDOGGS8yRJkiRJM8JCUWOZmfdHxBuBXwKzgG9n5vmTnC1JkiRJmhEWisASIDN/BvxssvOhMbGJsiaKx5omksebJorHmiaKx5qGtVAM3iNJkiRJmjwLSx9LSZIkSdIkMbCUJGkSRYTXYknStOfFTJKkSZSZD0bE4pOdD0mS2jCwlCRpAkVEDHq+NPCViHjuJGVJGlZErD7ZeZA0PRhYStIQbJ6ofusElFlHzYuIletLSwMPApdOUtakBUTEShHxC+Dgyc6LpOnBGydJGoLNE9UvETELBgLKumxH4JiIWDkzbwSWA3aur8VQ25EmSj0GNwUuBt4UEWtPcpYkTQMGlpKEzRM1PiLiBdR53yJi8Yh4ZUSsCZwG/AH4ZEQ8B/gasExEzE7nAdMkGVSr/j9gO+C3wI6TmS9J08Psyc6AJE2miIis6vOVM/NmbJ6o/jgf+GhEvB7YAVgC2Ak4IzPfExHPBP6Pcrydnpn3R8Qimfng5GVZM1FEzMrMBxqL1gLuA87JzK9MUrY0A9WuKGkh2/RjjaWkGcnmiZoImfkv4IvAe4CvZeZzgM8BT4mIXTPzN8D7gFuBF0bE0gaVmgyZ+UBErB0RB0TEs4BfAtsC60TElvY710ToFKxlZkbEnMnOj3rjSUJTihcuTQSbJ6rfImKxiFh1mJe/T6n5eXx9fi5wKrBFrSX6M/Bu4AxgzXHPrDSEiNiWclwuSzkeDwDuBH4O7EUpaJPGVR3fYOmI+CLwq4j4wAjnVk0x3sRrSoiIRWqTxAfr85UmO09aqJ0PPKk2TzwaeDnweeA1mfke4HvA24EPAYt0midOWm41pUXEbsBTKTWPRMSLmzdCmflfSnPXl9ZCituBJYHbG00PbwAeC8yb0MxLA7YDPpiZBwLvBO4AXgV8idIsdgfPg+q3wcdURDwVOIbSDeXFlEGkXhgRK0x87tQrTxCaEhrNHtaNiP+j1BRJ46LfzRNtJjszRcRyEXE68LTMPA14ekTcAGwM3NNMm5lHA9cDP42I7YC9gZsbSd5aX7/b40njIYoF7vsax9tdwJPr438ANwKPyMx7gBOAjYBZE5BVzRDN/uSNY3MVYEvgzMy8BDgMeALlvKopzsBSk6Z58xQRsyPiG8B3gA2AuRGxy6RlTguF8W6eOHheQs0ctYXF7cBfgcsj4guUmvDbMvOAzLyt04+34SDKDdPTgVdnZrMA7SOZuXtm3unxpH6rN/BZmxkuFRHL1OWzGsfb74CMiG1rTfodlGaxZOaXM/PdmXnfcNufiPeh6S8ilq//ox6P60fE0cDHat/en1MqF14BkJnHUgp5nxERjxhhux6DU4BfgiZNYxTOWcDDgVUy8xnAm4HDgT07F79eDHEzZ43SDDTezRM7N2r18dyIeM24viFNCc1BnyJiReBJwIHAVZn5MuA3Nchk0AibZOafgKdm5nsz86xmDVKtFZLGRaNWaH/g98AREbFSHbCnc308BzgP+GpEfBj4APCbut6w94s1OHXAKXUVEY+iNHPtnEMfD3wDOBm4kNL95FnAj4E1ar9f6uurAosOs91mzedWEfGkTgCriWVgqQk1qJZyrYj4AKV5wxLAZhGxWL3B/wUQwJ69brtzMxcRr46I59dl1gDMEBPVPLGWtK4aEYdQmtS+KSKeUPNgQcZCqnF+WR5ISn/coynNBgG+AGwVEWvVdI8ctP7f6/KHapDq81n1v8eOWhui39pjI+IjwHrAVsBtlGP1oetjZt5ca9FfC1wH7JiZR9bXHhy0vQ0i4un1tQci4okRcUJEvD0iXjjOb0/TTKMA7VJg+4jYsL60CnBnZh6amYcBRwJPA66itCB6W13vVOBttRvLAur1ePmIeD/wbWA/4Jvj+JY0DANLTYjGSSUjYpW6+HZKE8MtKRe5n1BqKzt94O4Dthup6UNTo/boCRFxPGVC5/dHxMH9fC+ausazeSKDzpcRsRRwBKVf0rHABQwcvxZkLKQiYqeI+DPwfuC9mfll4BRg64h4QmZeQDkejq8FHENOLD+4X1GjdnNOc7nUq2YNYkR05it/JLA1cF09R74ReGxE7NBYr1M4e2pmfnXwTXzn9Yh4FaVA5fb6fBvgq5Sap0uB70TEauP3DjWdRMSzgRfWx+tTWgadGxHrUJpbXxkRj6nJjwVeBjxAqWD4U0SsWAvi7u2cFwdfx2vN50mUlm/rAq8GHh4Rrx7/d6gmL1waV40L1YMRsUxErEtpgrNpZt4GHA+sD2xC6fP2poh4UUR8Brip/m0wwvYHn1y2Az4CXJmZuwAvAZ5XTzpaSI1n88T6PBo1VUvVVdcG5mTmBzPz55QmPMtFxM41nTVP01zjprzz/NGUfj97Aj8E3hwRzwDOppSw7wyQmR+k9BE6KDO/ONI+GgHAYyLis8Cfmsul0YiIxTuPaw3i0hHxJUqz1jdk5kmUAXgWiYh1MvN/lCmX3hkRS9f1uhWIrVD/zwH+AsyOiMcC6wLvoAzscwDl2L+pf+9O09zZwA+i9KP8bO2G8jngM5Tm17OB50bEosB/6rIHM/OSzPxwZt7SOR/We8lFGtfjzevzf1AKkedExLKZeS9wMPDWwedxjS8DS42bejPeqUXchdJG/omUG6e9ATLzREqJ1TbAn4HXUIaWvpVS+7M05YZtSPUCukxEPKve8J8G/AtYNkr/kUuBX1GmjtBCajyaJzYKRbIGrI+JiOOAb0XEYzLzQuCWiNi1buZayjn1JRGxhLWW01OUgU02AcgyzUyzT88WwFnA9pSb57dn5m8z82rgj8CGUQafoDbtOrVuc9hChigDl30N+DrlXLdsRLyuvuYInOoqyjQMB3VqfSJiWeAoStP/bwCvjYh9KYHlcpTWGWTm1yndUDYZxT72pUz9ACVofAXwhXoeXBvo1M6/NjPfTSlkc3L7Gah53qqPl6fclz0+M3cEyMy3U5q8Phn4JKUC4Xjgb5TRYOcN2ubciNi8rvtgbZn2a0qA+o2I2INSuLs6pXaezPwZcCVluhxNEANL9VVEPCMiXhKlr9lKddlbKaNrvjLL6F7HAatFxPPqar+nXLBekpm/otQ0/YRyEUzg340mOM+PiI0b+3sZZUL7VwO/BTajBBS3Uy+elAEItm3sTwuZ6H/zxD0pTWSJiFlR5rv8CKX/xzXAOyJiC0owsF+Upme31dfuB547fu9W4yUi3kjpW3Z8RCweEa8Ezo6ID0bEw4C/A4cAqwFPycwvRcTDovQX+i3lePhtY3vzjRo8TIC5BKUAbbfM/Czlhv3giFg05x9YRZpPDDSX/h/l3HdnlAHvZgG3AB/LzLOAVwLvohR+nQM8uZ6/AJ6VmWeMYnffotQ6rUkJLE+k/FYAPk0pxDs0M8+L0n3lK5S+nJphGgW9zwYek5lXUO7HVomIpzSSHgh8IzMvysxXAx+ntB76VHN7tXBvKwYKigF2A36amU+jFKLsTxmX45fA3jEw5+VbKU1qNUEMLNUXtTTpCErp0dMocwR+v758LaXpTKfPxRWUH/8HI+JxlH4fv6Q0l4DSmfuFlBPOHpn5n1pjtCRwJ3BxY9c7AO/OzD0oN3WfovSvux7YJCLWrf3j3kCZTkLT3EQ0T6zbOSgilgMWA54PLJdlIIuPUGrZn0QJXq+gBCJXUkplb6f0u9Q0ERHPjIg/AM8GnkIpQPgF8DjgLZRz15so3++RwOzMvC8itqYUZG2ZZZqQX9cmWMD8TQtj/lGEd69/y1AK4DYGbqutPH5OOcd9vLPqOL51TVMx/0isSTlOPkE5XmdRam1m1QKKc4FLgF0oo7xeTb1Jz8whz1WDa8trsLAX8LPMPD4zXwQ8IiJ2z8xbgY8Cn4yIH1EKj/+Smcf07x1ruoiIjSPi55R+vIdExNsy8yZKYe1DA+pk5jeBJaL02SUzT8/Mm6LRj7KeE+/LzMOB1SPiJXX151BqN8nMX1JGmn0T5d5zG+Cpdd1LMvO48X/X6jCwVGsRMRe4DDg1MzfJzDcC2wIrRsRHKUHjDygnAjLztnpC+QWlieKNmfnazLyovj6v9lv7cd1+p//cXZl5CrBXROwTEUtQ5tj6V73IfqNmaVfKSWYdyqS6ZOZJtbmapqHxbp4YEWtGxMtjoP/kssCLgH/UG6/PAstExGNrzeTplKBjw8x8FfB6ShPun1Lmxfzf+HwS6qf6vR9NqV25G/hMbdp3GOXccU6WkYV/QKlZ3IFy87J2RPwY+DDw+cz86jDbf3SUYe8787U9NiLeRhnp8IXAxyiFYBcCBzcC0dOBV0TE2mlfSw2h1mYvGhGfBD5cCzS+SWla+ADlnPg+YOW6yn+Av2bmlZn5sVqLNKR6vHZqnXaPiKfVa+wXgWsjYr+a9GuU4IHM/AqwO+W3s83gWictfAZdh5t2AL6emTtRWvC8PiKeWlsSLRYR+0fEV6KMR7BxZn67uXKnK0pmPlArFZ5QX9oaeEqtjTyKUgvfcS3w3yz9Nw8E/mh3lMlhYKnW6gXqvPpHRCydmfdT+lHuS7lJ/zml+ev2jVXfCzw3Mw+p6w15PDYuoM+si+4Fnlf/3wc8MwcGZDkaWD5L38rPZuZP+vdONRnGs3liRMyJiBMoQem6wJkR8S3ggCxTkdwXEbtl5smUoc/3q+seT7lgblgLOG6lHO8/Bj6dmQ/tT1PaFpSmgY+jfHfPijKwyfmUIetfCVC/z4sozblWrrU1b83Mp3dqZYZpsvpYylD6GWVwlXOBx2bmkyk3P3dRpnZ4HbBjveH6AaVv3MkM9GnTDDf4+hhlPsBzKDWVnULVcyjnw3dRmgYuDnw+Iv5COdYuGa5pdZTpQ74ID50b59Zj8S2UAXk6hSefB14TEctl5nco58gP1vVuyMyf18I3LcQiYlNK38jO8xdFxFPr048Bl0XE2ZSWQ7+gFMhBKVB7FOWa+dPMvKOuP3g6r4zSj/Jk4MAog/IdS7nv24NSqLFmRLwlIp5IGUn2lrruSZn5n3F42xoFA0v1y87AjwAy83+1+c0FlGY3b8zMPwCXA7tHadLaGRTlnohYpFOiDwueYKIMZPHHuu4ilCD1RuBVlAveyyPibTXdPtQmr5n513F/1xo3MQHNEym1jKvWGvQrKLXci2TmO+vr76KMXAeleezaEbFTfX5wZn4pM++uF8eTM3NTm91MH5l5bK29eYDShP6hgU0oTftWioE5+f5IKUxYp657Ncw/InFnuzEwqvBxwPJRRuW8h9IUbJua7GpKYcWTKKNtbke52fo9ZRCK/9R9aoaL+Sd/f0xtWdEZ7OQAICPiyZSWEj+qr22Rma+hHMcvz8zX1HPVcLU4T6femEcZXf1LwA2Z+VRKV4MXR8TjM/MXlAD2Y3W9A4Hf9f9da4pbnFL7eGBEnEgphPtqlPEIlqK03PlzZh4MfBd4YUS8OMtAea/PzANz/j7kgwtOVqM07f5sli5Rt2TmxZRBHjcEHk4pzH0Y8GXg6Mx0kJ4pwMBSfVFrLU+PiM4NeaeJxL+pc11RSuC/mIP6dGTmg7V0Kmpzm+YN2iMpgcULsjSXfTAzr6EEDrtQ5r/cj9JM7emUAYK8yE1jE9A88XFRmmhDKYRYISIuogSq/0eZ07LTh+lYSsnrB7MMZ356TUdmXt9JV5//rZ+fgyZGowb7D5S+jRtGGfDpFsox+IH6+nnAh7L053lIo8ngxhHx7IhYrDblekaUvr6LU0YKXjczP0rpU7RHLew4j1Iwsn9mXkWpXf8TZXTrOZS5UTXD1ePpYfW8+DnKyJeXUq6NP6cUtB1NabLf6QKwR1333Hr+XEANCjavT5/LwDgEfwRuoEwnskr9LXyJgdE1PwtsGRFzMvOPtUWHFnIxf7/bs4EzKYPq/DYzXwC8E5hLaRJ9F/DIiNiR0jf3u5QpaqgFwPMNbNY4j76qnjdvp1xr146IV0fEe6P01fwR5b5vL+DSzDwA2CrLCMeaAsImyOqXKHNhXQ2s0QkeI+Io4Eu9NA2MiDUo/TZOoDR1/RqlPf1sYCPKJLjHU2qT1szMPfv4NjTJag3Roymlla+jlEh+OzMvj9KfaIOsQ5ZHGQJ/Q0qBxcURsVY2+tLWmvDOgCkbUQawSEqJ6h2UgaYOAy7KzGfXdGcDx2XmR+rzR1P6wK0A/C8HzYOp6a9znNTmha+l1F4fWm+AjqDUzvyzcSw9dFw1tvEeYC1KU+hLIuK7wJcz848RcShwc2YeEKVf0Wczc5263ibA3Zl5Qa2J2gm4Pcu8g5qBaqHWA43ny1OCuj80C8wiYlXKvfm8KGMdfIkyxsBinSaGXfbzMWD7zNw4Ii4FnpSZN9fXdqYEm4fVQhci4k7g1Zn5gyhdXuxLPsNEGXBsHUrXgCUpzbDvy8yX1ZYa76AMeHcEZZyCPSjX768P2k7nnNv5/yRK09p5lJHdL4yIvSgtOf5I6Tf8EeAZlIDzUcARHoNTjzWW6pv6Az8A+FREbBmlX8dtDIz2uoAYGP2rM53ISyml9bcBF2Tm2ZS+TrMok9+eSRkoZTFKCe3Pm9vR9DdezRMpBRGfzzJK8FxKs9p/UPrBXR4Rb6npXg+8u9ZsfpZS675xZt7eKFV1pM6FSKPU/FJKM79NKYUOZOYrM/PC5rFUb4RmwXyjFH+N0lLj6VH6Gi1CKciAMlr1UyJiy9o89q6IOKhu65ws3QbI0nT7hwaVM1vjPLNFvfG+jTIX4BoR8cqIeGdEHJKZN1KOpb0o3QH+BjwwmqCy7ucAyqBkX6NM8fWfxmvHUZrWbhll+hAoXV4urK97Q7+QG3xfVY+zv1EHx6G0GPoucHtEPDNLc+0LKdfLq7NMn7RlJ6hs3OfNapxzO+fVrSgDQO4KXBwRy2bmYZn5ksz8PPAdSqu3ezLz5Mz8qsfg1DS7exKpJ9+gXJyeSBncYsj5sRrNIB6s/zsnl2dT+mT+MiJWi4gVsow211nvGZRS1EVr08O/NbejhUOnFDMz/xBl3tJO88TzIqLTPPHY+vxDtanWQxo3Zos0jo0PAkdGmeLmfOCfwD6Z+bGI+BVltOEfZ+afa83oZyh9RG5j0FQ1g2urNP01aiF/BTxIo0Bs0HFElJFdtwJ2zjJK8VKZeXM9jp4CPAa4qlP7U2vTTwPeTumPtg3w3wl6a5pmogxG8ilKi52zI+Ic4D2UGpubKdNu7RoRF1CaS+8MvGu4623d5uBjeLEszbFfR7lhvw54eEScCfw+yxgFP6CMLHsO5Xj+Vd/frKakZq15RGxWC/l3B/bIzLMj4uvAmymB5Q2UQaLeR2kOe0IteMva6mORrF2e4KEBGZegFOJeR6kguAp4Z20hdC8wJyJOy8yP1xYfWwA/yDp7gKYum8Kq7yJi5UZzmqAcZ0MGflH6d7wO+BmlNvJZlMmWT6T0TXpGff1syryYsykjdv5hvN+HJleb5omNgovBzRU/ADwxM18YEVsB76Y03bmUMm/gopn5plpSu3gOM8ebZqYoI1N/hDK0/RspAeR7KX0lT8rM39RCie0otZe/ojTt+iHl5uu9lFr3O+qxvchw50bNDEM0ew1KP/GfUZob/hi4Eth7UGD4DeBHmfnrHvf3vMw8sbOvehz+mNJF4FOU6+1TKN1aDgNuAn5pYdrCr9ZMr56Zf6rPH0YZ2X8XSqHY64APZOY/I2IVSkC4J6VF2Wco19ETsszF29zuIjkwhUhGxFMozbaPo4zGfhNl1OG5lIKT+yjn1qdSClR2r9udrwBZU5OBpcbNEBfMwc/3BN5AGYxgY2BtSnv8JwOXZeYNUaaaWIVyM/esLCPSaYaJMinysyl9Kk7rkrYZYHYKLv5OGYhlKUqhxacy87gow+SvmJlvjjKa7M6UC1lniohFqAMYj8sb05Q16DhakzJgyYaUeSc/TGnqegClhP7ZlLl730Npxv8hyk3X5ZT5e59IGQnx2gl+G5omokyjdCYliDyRMg/lNsAfKMfZA5Smh+8CdgNOoczZO6qCidry452UAdH2o0xps0itPVq/7nv9WvO+AmUKpjM8Zhd+UeajfD/l+ncTZQCx4+rzZ2XmZrXA4yeUgv+zsozofwSlAOSnwLpZBjjrbLMTRDZHNJ5Vj7fXUALIEyijYP8deEdtHUQNPA8BTszMh6Y00fRgvzSNm2ZzxEHPl6knqXUpcxrdRpmX8k+1+eOZlH4jb6YEnmdk5v0GlTNPp+aRUvPzSwY1Txwqbb2YLVFv1D5MuXDtQCmNX4FSsvp/dbUjgY0jYpvMPC0z35qZ/2s02Xmo+Y5mlkHf++D5Lp8KLJmZ2wKbU0YovIHStOtflKbWmwIXZ+b7MvMFnRv0wcetZpYhzlvbRsTvKIM23V+bp14EvADYNTPflWVe6B0ogeW5lCbYbx2hJdCsQc83ogQOszNzn6zTjtSb/FlZpnE4nhLQkpm3ZuaRBpUzxp8pI6tuSKmZBNiaMv/zqhGxfj0f/oZSg/naiHgZ5Xx4dr1mduYxHzza64MRsVatFX9j3faSlMqC3wOfy8xXZ+ZtEbF6lH6cX6EM+mhQOQ15gdO4a5RW7RQRfwaeWU86a1EuknsAL8zMz0TEyhGxEvA2SmntCzLzlMnKuyZX4+J0c2b+KDP/23itc1wt0kxb7UKZguTszPw2Zc7TpAzIciJwY0R8IMsw/P9HuYDS3J7UkfMPKPU3YCVgxSgjum5NOa6+QqmZ3B04lNL37aGmW43j1KavM1QN4jrnrcXq4u2A72XmrllGvl6KMrDYRcDTImKDiDiJ0uSQzDw+M/810n5qwLhsveaumWU8gjOA1SJiTt1/p9Cuc97clzJGgmaIiDi4FsB+hFLo2pn/exalhvx3lHlRX1dX+RLwPWA9SmXA67MMeNY0uODk6cCvKcffoXXxbZSB816XmT+MiMUj4uPAipQuBRtn5tH9fK+aON5AaVwMUWL6VsoN/Jsy84S6+JeUE9fbapv9jSg1TCsDn8zMXYY4aWkGa9wMPWRQwcWbogzy80NK6epyUeZau5bSxGy3WiPweWDl2kznzGxM1OyNv4bSOD5+B1xGGe7+LZRaoFso805eRekbdHNmfr0ea9T1PK5muHqeWToivgp8IsoAJrcCL4qIb0bEDylzmS5GuYl/HvAt4OeZuXt26WPWOUYjYhdK09adgVMjYifK+fAsSjPawTVKUVsFfbvvb1pTTuM6ejKl+fMxQEbEPnX5+pRz2O2U0ffXjoitawueX1KaYL8kM89qXpPrcdRpmfa0uvhRDIybMbcGmr+nBJafizJN0x8oc7NenZnzxvO9a/zZx1LjJsq8lttm5gkR8QZK/7Y/AMtSBua5mTIZ/W6UaSU2A76TmV+YpCxrmqkXtcUo/d8eT5njdN/6dyfwEuAfmXloRGwLvBzYNzPvm6Qsaxpr9BtaH3gpZRLw11NqMdehlOD/YXD6ScmsJl0sOBLrIyl9106gNPX7d61B3IZS8LUIZWql+zLzs/X8NrvX81WUETtPzzLf5Iso58H3AU+o+/pSZv7d43NmGeJ4fAblHu0DUQazO4US8B1JKdx/IMq8lW+lBKCvrOvNNwfloH1sThkI73+U424rYB/KdDl/AV5BGVfjCMo1+4nAmZn5+/F755pITjeicRERb6KcTH5PuYheBryGchL5L2WgngsotZgnUy54b2s2dZSaYtDgT/BQf8rZlGY8L83MayLiSsrIm8+gNFF8R0RsSBlg5T3Nm7TBF1ppJI1anosj4jLKjdFBwL+yMdVDDBpeXzNLDQiHGg19HUpg+R1ghXpeOjszj6rrbUHpa/kNeOh4GzKoHOp8WJevRAlQb6tpjomBwc++QzknbgX83eNzZhihNc4FwEcj4tDMPD0iji7J8pDOepn534j4FqUQjbqdznGzCKXJbGc/q1Lu6T6cmafWxSdFxG8p86veGRGnUloOXU8ZCO3kvr9hTSoDS7Uy1AU0ygiKW1JOHpcAZOYvosxJdHdN8wZgpbreOfVPGlJEPBb4VkQ8rQaT+1H6r51GOY/NAe6NiMUz88iIeAelGdjRlCHMbwA26hx/HQaV6lWjlP5nlJE1T+oUiHVu9j2uZqaIWCYz/1uPj4yIuZTam6sotTWnUPqrHUFpvbMr8Ktaw7gD8GLgQ5l5XLd9dZrvd27yO48z8z8RcS+lCeLKwI2Uwt31M/P2iPhsZl7W33euqWrQMbI5pfn+jyhzNP87In5DqQT4EGXgnn9ExOMy83xq4FiDwAUKYhvNXjfPzD9TrsmbAk+IiE0pfdEXy8x3RsTaEfFi4GXANwfnTQsP+1hqzOpJJmsfjbUj4ikRsSylyeuywJsj4gMRcWKtwVwpIh4XET+inFxs+qARRRkx8VRgGcqk9YdExIGUG7CnAl+gTLB8G6Vp4v111dOBGzLzSsoInQ+j9BsZsp+mNFqNWsubcsEBpRaoQdLCLyJmRcTBwE8j4o1RBtxZETiK0q/xJMqo1BtQmgfumJnvpkzpsRploJ4fZuYmwwWVEbHIoP5s+wJnRsRbogzQkzEwINDXgScB748yZdcBlHMiBpUzQ6OWMiNiuYjYnTIo4rWUAaPeX5OeBvw3IpatAeSPKFN9DHU+26R2A+jsY8eI+APw8Yg4lDId06so19rbKdOI7BVlkLMnUGrsX5iZX+rkrf/vXJPNPpbqSZRBeV5KGXTn35l5V5TO1y+jzH20MaXJzcaUi+jfgEdTTmT7U04uD7cfpUYSZVCLT1NKP7+Rmd+qzcZOAo7JzLdHxHKU2oBLKDWT3wD+SQkiH0mpMb8yItYDXkSZTNybKvWVpe4zW0RsBxxOmeD9T5RpQu4BjgVekplvqOleBrwlM7eIMrn8zsBrKSNmvi/LlCLD7aM5F+CjKP3K96IEi1tTrqkvq693+r89ltIdYGPgW7VGSQu5oZpI1xZiHwdekWX+5g0o19dDKF2T9s7MNzbSz24ej/Xa+0HKADtL1vVOpBSWnEhpzro7pTb0GZn5v7re0pT+mgdl5l/G6S1rirEprEYtyohhrwbuoEzncEZtwrM5sFNmXhIRnwe+kpm7UeYeJMrw6asBd2UZfUzqZg1gbmY+GR660P09Ig6j1FRC6fPxbcpF7ieUQaB2ApbJzD06G6rNsT82gXnXDGJQOePdCqyamR+Ecq6iBI2PB9athbGRmd+PiHdFxJMprS+eBLwxM/803IYbfXUfrDWg7we2pQSuP8rMk6JM4XVCROyYmSdR7uvuyzKV0oXj9aY1NTWapz6HMlf4jzPzKxGxK6XAFcpcu8cC+2XmiyPi0xGxRZZRXmdl5v2dYy8iHg2cChyamS+MiL0pzbavpxRqHJiZ9wBHRBkA6LUR8VlKc+8NKQMyGlTOIDaF1ajUTtnfAPbMzOcAP6ScNPakjP41DyAz3wJsVpvFrh0RJwDvpJTUXj05udc0dDewZERsXS+Qb4iIdwHnAetFxFOzDMJzPqWp2ccz847M/F5mfg0WnPJGkvqtBobHRERnqo5bgBUy86uU+QDfDCxRr6GXAP/MzLMy8zXDBZWdc1ejlnITyvQh/8rMJ1CaGC4TEatn5o2Upq/713Wag5PZ7H8hFxErRsRrI+Lx9fniEfE9yijATwK+EBHbU5pDv7r2A76H0kd8Tn3tWMrAig8Fpo2+lDdSauM7TWu/U7c7j1JDv38jO1cB82ph20nAUzPz8+P37jUVGVhqVOrF61uUZq5QBiJYmTI31vrARo3kJwFLU05Ih2TmMzPz7InLrRYC8yhNaA6nNOFZmzKnW6e28h0AmXkn8GXgQJj/Rsr+bpImyOuAXSPiy5SpFE6ry99Dqbn8HqUFz98z89ZuAV+j1mnLiPg9pRZyCeok9pRr8SOBjeu2vgs8GBHPHbQda9MXfrMoXY02r01P5wBLZObTM3MvyjX0LZRuSX9hoG/lv4G9MvMXwJGZ+Y2hNp5l7tRjgfUj4skR8QTK1Dh3UEbEflnta7kt8FzgprrekfX6rBnGPpYatXrSuhJYkzJP4A6ZuUNtGrEbcDwl2HwxpWnslZOWWS0UIuIxlGNuicy8pR5ra1NGsXtvZh7eSGtfN0mTIiLeCXwEWL7WCHWWz6Z0F7miDo4y1Lrzja5eayw/TqlFOigzfx8Ru1FqhzavTRTfA6xK6XpyUUQsl2VCey3kYsH5KPegNJH+EmUE9LOBJ2eZfuthwMGUwoibKYUeT8jMeUNsd7gpbJYC9gbeC1wMfKwGpETESyljZ2xJqUg4sZ/vVdOPNZYatdohe39K09f1KaW0naYRX6CM+PUI4PkGleqHzPxnZt5VS00BnkOZe2uzZlBZ0xpUSpoUmfkpyk391lCaJNbl92fmmSMElbOyeLA2Y+zc3F8CPIVSywSl4PZiSi0RlBYdi1LnuTSonBlqAWqnAOIxUGoHgTspfR+hjD3wlvravykF/ndn5kXAxkMFlTXtA83a9MbIsndSms7+Cfh2lunjFq2v/SAz98/MLQ0qBdZYqkf1RHMNsElm3hARS2bmXZ3XvLlXP9XS/rWAHYFXUEZ9fWfnwji45FaSJkutOToiMxfrmnjBdQ+kFJz9lTKX5S0R8SvglMz8eE2zCaWrydMy8zKvuTNDRDyS0g3pmzX4W5syIN3qwBmUOVGvoNQoHkFp5XMiJcB8ArAcpSLgmszMxsA8i1DKZDvzXO5LmS7kh5RBf67pjBBbA8nnAa+kDPpzncefhmKNpXpSTyIvoky4TCeobLwm9U2WIc+XpVwc352Ze2bmvEZJqkGlpCmh1hy9M8q8lkP2o4wF56NcPCKOpoyE/WzKue7L9eUPAnvU5oxk5jmUVkN3eFO/8IuI2RHxAeA4YOVGM9XXAsdQRud/IvCGzPwncBnwdErh//Pq/79k5o6ZeXXneOkElVlGHM6IeFSUKUgeBXyY0t3p4zXt/fX/fZQay1sofTq959OQrLHUmESZFPd1mXneZOdFM8fgvkiSNF3E/PNRrkBpnnh3rZG6nVILtT6lH/nbMvMnUSaeXzHLFF6aQSLiF5QRhp/cWLY4pVn00ZRWPJcAB2TmTRExF/gipcbxR83+ks1aysYxONQUNp+qIxifAHw4y5Q2nVrLoAS4N03A29c0ZY2lxurpBpWaSPWCmAaVkqaT5vQhEbFkRHwD+D7wsYh4WGZeBrwBuCczt6JMH/LJOmjKRyi1U5p5Xg8sBhART4uInwArAdcBHwBelWXampsi4rmZeQVwKPC7IQbhma+VT49T2HRqLdOgUt0YWGpMhho5TBpPBpSSppNGQNm8Xn4SuCgzd6T0HX9PRKxMGYjnuprmXmBxyuidV2XmjyYw25oiMvNy4C8RcSHwIeAndRCobwHXAytGmS/8e5Q5Kudk5k8z86ohttWXKWykbmwKK0mS1CcR8chaC9l5vgmlBug1lP5ptwDbUAZVeVMdiGcv4JmUqUl+BXx6qABBM0tELElpJr18NuaFjIjXA08CHgf8NDM/NGg9p7DRpDCwlCRJaiki5lCmdvg4ZWCVAF4N7A58FPgdZdTOucAnM/Pout5jM/PCiFgXmJuZp0xC9jVF1SBy08x8dUQsWgfS6by2fGbeVh93+lHOatRQLg7cX0eTfS3waWCV2rd3MeBw4JLMfH89/t4BfKpZMCL1wqawkiRJY1RHgf0gcBbwQGbuBDy73tw/CGwG/CMz7wbOpYyueWVd91PA1yNi1cz8l0GlhvB1YNuI2DAz7+s0sQbIzNvqtCEPdRdpBJUHAr8EPhURK2bm1ylTk3TmuLyX0jT7NbWW/V+UqUQMKjVmBpaSJEljEBHbUfq7zQa2zMxLavPFn0fEFpn5Dcp0EfvWVb4EXAwcWEdXXxHYpQ6YIi2gBox7U4LAIce4cAobTRU2hZUkSRqDiHgScGZmLlKfbwv8i3JD/5rM3CIitgHeDhyYmX+v6VYGlsnMKycp65pmBjeDrcucwkZTioGlJEnSGEXEjylNXq+hTFC/f2b+OiIuA96bmT+IiI9S+k++dDLzqultmH6USwJfAB5OqQ3/eGb+OyLeD6yamW+MiAOAfSi1l6sAT3G0YY2H2ZOdAUmSpGlsH+Ba4LuZuVlj+RuBbwI/oEzfsNHEZ00Lmc58lENNYfOaiLgYmB0RBzH8FDZ/BBxxWOPCPpaSJEljlJm3Um7uHwWlyWKtWfoZcF1EvDQzL8z/b+/uQ/4q6ziOvz85nbOps2w5TVlENStU0qISU6EMWqWY+GwWkmQlUhiICPWPSIQ6BIm0iSI+okMtF6bpTMJq0QNFKv3hQ/kwbZrmWnO5b3+cc7vj3H1vv517u+/j3i/4cc7vOtd1zvXbPzefXee6rqobprKfGq721dbuwjwfTrI8yUHA34GXktwA/A24tKpW0rySvaDdB3M/4NA2VEpbja/CSpIk9ZTkMeDcqrolyayqWp1kZlWtmeq+aZjcwkZD44ilJElSf+cB1wFU1er2aKjUyNzCRkNlsJQkSeqpqm4EvtOGgmyygbQRbmGjIfNVWEmSJGkacAsbDZnBUpIkSZom3MJGQ2WwlCRJkqaJJHNYv4XN1zrlnwV+XFV7J9kfOMjVhjWdOMdSkiRJmibcwkZD5YilJEmSNM24hY2GxmApSZIkTTNJTgSuqaqZU90XaXPMmOoOSJIkSXq9qroxydwkOwDrytEgTXOOWEqSJEmSenHxHkmSJElSLwZLSZIkSVIvBktJkiRJUi8GS0mSJElSLwZLSZIkSVIvBktJksaRZH6SSuIS6pIkTcBgKUkavCS7JDkryU+SPJHkP0lWJXk0yS1JTk0ya6r7KUnSm5X7WEqSBi3J54ErgL06xauAdcCunbKngNOq6t4R7r0P8AuAqlrQv7eSJL05OWIpSRqsJF8GbqMJlY8ApwF7VtXsqtoNmAMcBywD9gY+Ocr9q+rJqlpgqJQkaWKOWEqSBinJAcBvgZnAUuC4qlo9Qf3jgX2r6uJt1EVJkrYbjlhKkobqQppQ+SRw8kShEqCqbgYugTcuypPkY+1czKeTvJpk0cbqdSW5ur32vSQ7JbkgyUPt/M4nklyWZI9O/YOTLEnyTJLVSZYnOWaiPrf3/WaSB5I8n2RNkseTXJVk/wnaHZ1kaZIVSda2bR9JckOSEyZ6piRJW2LGVHdAkqRRtXMfF7ZfL6uqFzenXW3kNZ12JPM6mr+JLwKvjtidnYB7gMOA/7Zl+wJnAx9PchjwGeCmtu5LwM7AIcCSJCe2oXfDfs0DfgYc2Bato5k7uh/wFeCkJKdU1ZIN2l0InN8p+jcwC3hf+zmy7YskSZPGEUtJ0hAdAaQ9v6PnvRYDtwPvrqo5wC7AohHafx14L/A54K3AbOAYmkB3CPBd4Bqa8Lp3+4y57TMDLEryuv/oTbJje/1A4Jc0c0NntfNG9wIupgmn1yZ5T6fdfOC89utFwDuqareqmgW8k2a+6Z0j/DZJkjaLwVKSNERjr4GuoVm0p48/AcdX1WMAVfW/sfPNtDtwYlXdWVXrqurVqrod+EF7/Tzg91V1RlU90z7jOeAUmvA5D/jEBvc8HfgIsBw4qqoeqKpX2rYrqupc4Ic0IfhbnXYfpfnb/nBVnV9V/xy7UFXPVtWtVXXGCL9NkqTNYrCUJA3R29vjCxt7vXVEF1fVuh7tH6yq+zdSfk/n/KINL1bVKuDX7dcPbXD59PZ4eVWtGee517fHT3fKXmqPuyfZZfwuS5I0uZxjKUna3j3Ys/2fxyl/tnP+l3HqrGiP3UV+ZtCMPAJckuT747TdoT3u2yn7DfA8zSjog0kuB+6uqkfHuYckSZPCYClJGqKV7XGPJOk5avlcz748PU75a4sAVdWm6uzYKXsbzSI/Y+ebMqvznBeSnEYzn/MA4EcASZ4Bfg5cNc7oqiRJvfgqrCRpiB5qjzOB9/e5UVWNugrs1tb923xgVWVTn27jqloKzAfOBG4GnqJZ8OdLwLIkV2yj3yFJ2o4YLCVJQ3Q/MDZK+YWp7MhWsJL1I5kf2JIbVNWLVXVlVZ1QVfsAHwSubC9/NcnCCZpLkjQyg6UkaXCq6h/A0vbr2Ul225x2SbLpWlOrqtYCv2u/HjtJ9/xrVZ3J+sWCDp+M+0qSNMZgKUkaqgtotht5F3B9kp0nqpzkeODb26Jjk+Dq9vjFJEdOVDFJd+GfnSaqC6xujzO3vGuSJL2RwVKSNEhV9UfgGzSvxC4E/pDk1CSvLXiTZPckxya5D7gJ2HVKOju6xTSji28BfprknA1+19wkJyVZBpzTaXdWkruSnJxkXqf+nCTnA0e0RXdt9V8gSdquuCqsJGmwqmpxkpU0q58uAK4FSPIyTeDsBsnHgXu3eSe3QFWtTXI0sAQ4FFgEXJrkXzQryM7uVL+vcx7gqPZDklXAWmBOp84V7QI/kiRNGoOlJGnQquq2JHcDp9OMXB4A7EkTLB+jma+4BFhSVWumqp+jqqpnkxwOnACcAhxMs/3IK8DDwK+AW4F7Os2uB14GPkXz7zCPJoQ+DSwHFlfVHdvqN0iSth/pt/WXJEmSJGl75xxLSZIkSVIvBktJkiRJUi8GS0mSJElSLwZLSZIkSVIvBktJkiRJUi8GS0mSJElSLwZLSZIkSVIvBktJkiRJUi8GS0mSJElSLwZLSZIkSVIvBktJkiRJUi//BxbG7KxaHrqLAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 3600x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "recidCount = eligibleByDiscretionApplied.cleanedStatute.value_counts().rename_axis('Statute').reset_index(name='Count')\n",
    "labels = recidCount.Statute\n",
    "counts = recidCount.Count\n",
    "\n",
    "#names = list(labels)[:5]\n",
    "names = ['Drug\\nPossession', 'Theft by\\nShoplifting', 'Theft by\\nTaking', 'Possession of\\nFirearm or Knife', 'Felon/Probation\\nFirearm Possession']\n",
    "values = list(counts)[:5]\n",
    "\n",
    "pyplot.figure(figsize=(50, 10))\n",
    "pyplot.subplot(131)\n",
    "pyplot.bar(names, values)\n",
    "pyplot.title('Top 5 Crimes for Eligible, Policy Applied Recidivist Charges', fontdict={'fontsize': 30})\n",
    "pyplot.xlabel('Crimes', fontsize=24)\n",
    "pyplot.ylabel('Charges Count', fontsize=24)\n",
    "pyplot.matplotlib.rc('xtick', labelsize=24) \n",
    "pyplot.matplotlib.rc('ytick', labelsize=24)\n",
    "pyplot.xticks(rotation=30)\n",
    "\n",
    "pyplot.savefig('crimes_recid_applied.png', dpi=300, bbox_inches='tight')\n",
    "\n",
    "pyplot.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Bar chart displaying the top 5 most frequent statutes for policy not applied recidivists' charges for subsequent arrests."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 191,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 3600x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "recidCount = notAppliedRecidivistsCharges.cleanedStatute.value_counts().rename_axis('Statute').reset_index(name='Count')\n",
    "labels = recidCount.Statute\n",
    "counts = recidCount.Count\n",
    "\n",
    "#names = list(labels)[:5]\n",
    "names = ['Drug\\nPossession', 'Possession of\\nFirearm or Knife', 'Theft by\\nShoplifting', 'Felon/Probation\\nFirearm Possession', 'Aggravated\\nAssault']\n",
    "values = list(counts)[:5]\n",
    "\n",
    "#statutesToCheck = eligibleByDiscretionNotFlagged[eligibleByDiscretionNotFlagged['ArrestSincePolDisposition'] == True].cleanedStatute.value_counts().rename_axis('Statute').reset_index(name='Count')\n",
    "#colors = ['yellowgreen' if (x in eligibleDis) else 'mediumorchid' for x in statutesToCheck.Statute]\n",
    "\n",
    "pyplot.figure(figsize=(50, 10))\n",
    "pyplot.subplot(131)\n",
    "pyplot.bar(names, values)\n",
    "pyplot.title('Top 5 Crimes for Eligible, Policy Not Applied Recidivist Charges', fontdict={'fontsize': 30})\n",
    "pyplot.xlabel('Crimes', fontsize=24)\n",
    "pyplot.ylabel('Charges Count', fontsize=24)\n",
    "pyplot.matplotlib.rc('xtick', labelsize=24) \n",
    "pyplot.matplotlib.rc('ytick', labelsize=24)\n",
    "pyplot.xticks(rotation=30)\n",
    "\n",
    "colors = {'Policy ineligible statute':'mediumorchid', 'Policy eligible felony':'yellowgreen'}         \n",
    "labels = list(colors.keys())\n",
    "handles = [pyplot.Rectangle((0,0),1,1, color=colors[label]) for label in labels]\n",
    "#pyplot.legend(handles, labels, fontsize=24)\n",
    "pyplot.savefig('crimes_recid_notapplied.png', dpi=300, bbox_inches='tight')\n",
    "\n",
    "pyplot.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Pie chart displaying the charge severity for policy applied recidivists' charges on subsequent arrests."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 192,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x1080 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "recidCount = appliedRecidivistsCharges.Degree.value_counts().rename_axis('Degree').reset_index(name='Count')\n",
    "labels = recidCount.Degree\n",
    "counts = recidCount.Count\n",
    "\n",
    "sizes = counts/sum(counts)\n",
    "colors = ['darkorange', 'gold', 'red'] \n",
    "\n",
    "fig, ax = pyplot.subplots(figsize = (15, 15))\n",
    "pyplot.title('Degree for Eligible, Policy Applied Recidivist Charges', fontdict={'fontsize': 30})\n",
    "ax.pie(sizes, labels=labels, autopct='%1.1f%%', textprops={'fontsize': 30}, colors=colors, startangle= 90)\n",
    "pyplot.savefig('pie_recid_degree.png')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Pie chart displaying the charge severity for policy not applied recidivists' charges on subsequent arrests."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 193,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-193-4f73bfc00bd1>:10: MatplotlibDeprecationWarning: normalize=None does not normalize if the sum is less than 1 but this behavior is deprecated since 3.3 until two minor releases later. After the deprecation period the default value will be normalize=True. To prevent normalization pass normalize=False \n",
      "  ax.pie(sizes, labels=labels, autopct='%1.1f%%', textprops={'fontsize': 30}, colors=colors, startangle= 90)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x1080 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "recidCount = notAppliedRecidivistsCharges.Degree.value_counts().rename_axis('Degree').reset_index(name='Count')\n",
    "labels = recidCount.Degree\n",
    "counts = recidCount.Count\n",
    "\n",
    "sizes = counts/sum(counts)\n",
    "colors = ['darkorange', 'gold', 'red'] \n",
    "\n",
    "fig, ax = pyplot.subplots(figsize = (15, 15))\n",
    "pyplot.title('Degree for Eligible, Policy Not Applied Recidivist Charges', fontdict={'fontsize': 30})\n",
    "ax.pie(sizes, labels=labels, autopct='%1.1f%%', textprops={'fontsize': 30}, colors=colors, startangle= 90)\n",
    "pyplot.savefig('pie_recid_degree_notapplied.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 194,
   "metadata": {},
   "outputs": [],
   "source": [
    "combined = result"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Line graph displaying the number of policy eligible and policy applied charges per month"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 201,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "combined['FormattedDispositionDate'] = pd.to_datetime(combined['FormattedDispositionDate'])\n",
    "combined['month_year'] = combined['FormattedDispositionDate'].dt.to_period('M')\n",
    "combined['month_year'] = combined['month_year'].astype(str)\n",
    "combined['month_year'] = pd.to_datetime(combined['month_year'])\n",
    "combined_elig=combined[combined['CaseFlagDiscretion']==True]\n",
    "combined_app=combined[combined['PolicyAppliedDiscretion']==True]\n",
    "combined_app = combined_app.groupby(['month_year']).size().reset_index(name='counts')\n",
    "combined_elig= combined_elig.groupby(['month_year']).size().reset_index(name='counts')\n",
    "combined_app.set_index('month_year', inplace=True)\n",
    "combined_elig.set_index('month_year', inplace=True)\n",
    "\n",
    "combined_elig['counts'].plot(legend=True)\n",
    "combined_app['counts'].plot(legend=True)\n",
    "\n",
    "pyplot.rc('font', size=13)\n",
    "pyplot.rc('xtick', labelsize=10)\n",
    "pyplot.rc('ytick', labelsize=10)\n",
    "pyplot.title('Eligible vs Applied Charges from 2020 to 2023')\n",
    "pyplot.xlabel('Charge Disposition Date')\n",
    "pyplot.ylabel('Charge Count')\n",
    "pyplot.xlim([18250, 19500])\n",
    "pyplot.ylim([0, 1500])\n",
    "pyplot.legend(['Eligible','Applied'])\n",
    "pyplot.tight_layout()\n",
    "pyplot.savefig('applied_vs_elig.png', dpi=300, bbox_inches='tight',transparent=True)\n",
    "pyplot.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Pie chart depicting the racial demographics for the defendants in the data set"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 196,
   "metadata": {},
   "outputs": [],
   "source": [
    "combined_uniquePerson = combined.drop_duplicates(subset='UniquePersonID', keep='first', inplace=False, ignore_index=False)\n",
    "combined_uniquePerson = combined_uniquePerson.dropna(subset=['UniquePersonID','Race']) #drop UniquePersonID and Race NaN"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Group races into Black, white and other"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 197,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['White', 'Black', 'Others'], dtype=object)"
      ]
     },
     "execution_count": 197,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "combined_uniquePerson_grouped = combined_uniquePerson.replace({\"M\"}, {\"Others\"})\n",
    "combined_uniquePerson_grouped = combined_uniquePerson_grouped.replace({\"S\"}, {\"Others\"})\n",
    "combined_uniquePerson_grouped = combined_uniquePerson_grouped.replace({\"U\"}, {\"Others\"})\n",
    "combined_uniquePerson_grouped = combined_uniquePerson_grouped.replace({\"I\"}, {\"Others\"})\n",
    "combined_uniquePerson_grouped = combined_uniquePerson_grouped.replace({\"H\"}, {\"Others\"})\n",
    "combined_uniquePerson_grouped = combined_uniquePerson_grouped.replace({\"A\"}, {\"Others\"})\n",
    "combined_uniquePerson_grouped = combined_uniquePerson_grouped.replace({\"R\"}, {\"Others\"})\n",
    "combined_uniquePerson_grouped = combined_uniquePerson_grouped.replace({\"E\"}, {\"Others\"})\n",
    "combined_uniquePerson_grouped = combined_uniquePerson_grouped.replace({\"O\"}, {\"Others\"})\n",
    "combined_uniquePerson_grouped = combined_uniquePerson_grouped.replace({\"W\"}, {\"White\"})\n",
    "combined_uniquePerson_grouped = combined_uniquePerson_grouped.replace({\"B\"}, {\"Black\"})\n",
    "combined_uniquePerson_grouped.Race.unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 198,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "raceCountCombined = combined_uniquePerson_grouped.groupby('Race').count()\n",
    "count = np.array(raceCountCombined)\n",
    "mylabels = raceCountCombined.index.tolist()\n",
    "colors = ['cornflowerblue', 'mediumseagreen', 'salmon']\n",
    "\n",
    "pyplot.pie(raceCountCombined[\"level_0\"], labels = mylabels,autopct='%0.2f%%',pctdistance=1.2,labeldistance=0.7, startangle = 90, colors = colors)\n",
    "pyplot.title('Defendent Race Composition')\n",
    "pyplot.savefig('Defendent Race.png',dpi=300, bbox_inches='tight', transparent=True)\n",
    "pyplot.show() "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Pie chart depicting the racial demographics for DeKalb County, according to the United States Census Bureau"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 199,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dekalb = [['White',36],['Black',54.6],['Others',9.4]]\n",
    "dekalb_dem = pd.DataFrame(dekalb, columns=['Race','Percent'])\n",
    "mylabels = dekalb_dem['Race'].tolist()\n",
    "colors = ['salmon', 'cornflowerblue', 'mediumseagreen']\n",
    "\n",
    "pyplot.pie(dekalb_dem['Percent'], labels = mylabels,autopct='%0.2f%%',pctdistance=1.2,labeldistance=0.7, colors=colors, startangle = 0)\n",
    "pyplot.title('DeKalb Race Composition')\n",
    "pyplot.savefig('DeKalb Race.png',dpi=300, bbox_inches='tight', transparent=True)\n",
    "pyplot.show() "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Line chart depicting average days to disposition for each case for each charge in the data set for each disposition date from 2020-2023"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#format disposition dates and file dates to datetime objects\n",
    "time = combined.dropna(subset=['FormattedDispositionDate','FormattedDateFiled'])\n",
    "time['FormattedDispositionDate'] = pd.to_datetime(time['FormattedDispositionDate'])\n",
    "time['disp_month_year'] = time['FormattedDispositionDate'].dt.to_period('M')\n",
    "time['disp_month_year'] = time['disp_month_year'].astype(str)\n",
    "time['disp_month_year'] = pd.to_datetime(time['disp_month_year'])\n",
    "time['FormattedDateFiled'] = pd.to_datetime(time['FormattedDateFiled'])\n",
    "time['file_month_year'] = time['FormattedDateFiled'].dt.to_period('M')\n",
    "time['file_month_year'] = time['file_month_year'].astype(str)\n",
    "time['file_month_year'] = pd.to_datetime(time['file_month_year'])\n",
    "#find time elapsed in between (in days)\n",
    "time['case_month_year'] = time['disp_month_year']-time['file_month_year']\n",
    "\n",
    "#calculate average case_month_year per disposition date\n",
    "time['case_month_year'] = [float(x) for x in time.case_month_year.dt.days]\n",
    "time = time.groupby([time['FormattedDispositionDate'].dt.date])['case_month_year'].mean()\n",
    "time = time.to_frame()\n",
    "\n",
    "time[\"FormattedDispositionDate\"] = time.index\n",
    "time[\"year\"]=pd.DatetimeIndex(time[\"FormattedDispositionDate\"]).year\n",
    "time[\"month\"]=pd.DatetimeIndex(time[\"FormattedDispositionDate\"]).month\n",
    "time = time[time['year']>2016]\n",
    "time[\"year_month\"]=time[\"year\"].astype(str)+\"-\"+time[\"month\"].astype(str)\n",
    "time = time.groupby(time['year_month'])['case_month_year'].mean() #issue here\n",
    "time = time.to_frame()\n",
    "\n",
    "time = time['case_month_year'].astype(str)\n",
    "time = time.to_frame()\n",
    "time = time[time['case_month_year'].str.contains(\"-\") == False]\n",
    "for i in range(0,len(time)):\n",
    "  time['case_month_year'][i] = time['case_month_year'][i].split(\" days\",1)[0]\n",
    "\n",
    "time['case_month_year'] = time['case_month_year'].astype(float).to_frame()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 223,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "time['case_month_year'].plot()\n",
    "pyplot.rc('font', size=15)\n",
    "pyplot.rc('xtick', labelsize=12)\n",
    "pyplot.rc('ytick', labelsize=12)\n",
    "pyplot.title('Average case management time from 2017 to 2023')\n",
    "pyplot.xlabel('Charge Disposition Date')\n",
    "pyplot.xticks(rotation=30)\n",
    "pyplot.ylabel('Time Period (Days)')\n",
    "pyplot.savefig('Average case management time from 2017 to 2023.png', dpi=300, bbox_inches='tight',transparent=True)\n",
    "pyplot.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 224,
   "metadata": {},
   "outputs": [],
   "source": [
    "result.to_csv('cleanedData.csv')\n",
    "recidAvailable.to_csv('availableRecidivism.csv')"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3.8.8 ('base')",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.8"
  },
  "orig_nbformat": 4,
  "vscode": {
   "interpreter": {
    "hash": "90fcc35f05924ec763ca10d09969f898da1a89691b55643edb2b0f81054711e1"
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}