group_project_proposal.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "4f504dde-b61d-4843-a31e-436aa6624944",
   "metadata": {},
   "source": [
    "# Using a K-nearest Neighbours Classifier To Detect Bank Account Opening Fraud\n",
    "### 2022W2 DSCI 100 Group Project\n",
    "\n",
    "Team Members:\n",
    "- Aqil Faizal\n",
    "- Andrei Chepakovich\n",
    "- Jiaying Ong\n",
    "- Lucy Liu"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e5564b46",
   "metadata": {
    "jp-MarkdownHeadingCollapsed": true,
    "tags": []
   },
   "source": [
    "## Introduction\n",
    "Fraud is a major problem in Canada, with a total of $531M being lost to fraud in 2022 according to the Canadian Anti-Fraud Centre. Although overall rates of digital financial fraud in Canada have fallen in recent years, identity theft rates have been on the rise. According to Statista, an online platform for consumer data, the rate of identity fraud in Canada has consistently grown from 2008 to 2021 and sat at 61.95 per 100,000 residents in the latter year. Identity thieves commonly use stolen personal information to create new bank accounts with which they will then perform fraudulent activities such as credit card fraud, fraudulent loan applications, and money laundering. This act is known as account opening fraud, and will be the focus of this group project.\n",
    "\n",
    "In this project, we aim to use the R tidymodels framework to build a K-nearest neighbours classifier that can classify a bank account as fraudulent or non-fraudulent using data from the Bank Account Fraud suite of datasets published at NeurIPS 2022, a machine learning conference. This synthetic dataset is based on real-world bank account data. The main questions that we would like to answer in this project are: 1) given this data, can we use the K-nearest neighbours algorithm to classify a bank account as fraudulent or non-fraudulent with reasonable accuracy, and 2) which variables are good indicators of account opening fraud?\n",
    "\n",
    "### Description of the dataset\n",
    "We used the Base.csv dataset from the aforementioned Bank Account Fraud suite, which has 32 variables and 1M observations. As the K-nearest neighbours algorithm becomes very computationally costly with a large number of observations, we first randomly sampled 100,000 rows of data and then filtered this subset further to obtain only observations with certain attributes.\n",
    "\n",
    "We also plan to use the forward selection algorithm to select the predictor variables to be used by the KNN model. Since using many variables for forward selection involves the training of many models and increases the chance that we come across a model with a high cross-validation accuracy estimate, but a low true accuracy on the test data, we first examined 6 variables that we felt were most likely to be indicators of fraudulence."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "21d2d7ee",
   "metadata": {
    "tags": []
   },
   "source": [
    "## Preliminary exploratory data analysis"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "508adefc",
   "metadata": {},
   "source": [
    "The required libraries for running the code in this proposal are:\n",
    "\n",
    "- tidyverse\n",
    "- tidymodels"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "01fa98a0",
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "── \u001b[1mAttaching core tidyverse packages\u001b[22m ──────────────────────── tidyverse 2.0.0 ──\n",
      "\u001b[32m✔\u001b[39m \u001b[34mdplyr    \u001b[39m 1.1.0     \u001b[32m✔\u001b[39m \u001b[34mreadr    \u001b[39m 2.1.4\n",
      "\u001b[32m✔\u001b[39m \u001b[34mforcats  \u001b[39m 1.0.0     \u001b[32m✔\u001b[39m \u001b[34mstringr  \u001b[39m 1.5.0\n",
      "\u001b[32m✔\u001b[39m \u001b[34mggplot2  \u001b[39m 3.4.1     \u001b[32m✔\u001b[39m \u001b[34mtibble   \u001b[39m 3.1.8\n",
      "\u001b[32m✔\u001b[39m \u001b[34mlubridate\u001b[39m 1.9.2     \u001b[32m✔\u001b[39m \u001b[34mtidyr    \u001b[39m 1.3.0\n",
      "\u001b[32m✔\u001b[39m \u001b[34mpurrr    \u001b[39m 1.0.1     \n",
      "── \u001b[1mConflicts\u001b[22m ────────────────────────────────────────── tidyverse_conflicts() ──\n",
      "\u001b[31m✖\u001b[39m \u001b[34mdplyr\u001b[39m::\u001b[32mfilter()\u001b[39m masks \u001b[34mstats\u001b[39m::filter()\n",
      "\u001b[31m✖\u001b[39m \u001b[34mdplyr\u001b[39m::\u001b[32mlag()\u001b[39m    masks \u001b[34mstats\u001b[39m::lag()\n",
      "\u001b[36mℹ\u001b[39m Use the conflicted package (\u001b[3m\u001b[34m<http://conflicted.r-lib.org/>\u001b[39m\u001b[23m) to force all conflicts to become errors\n",
      "── \u001b[1mAttaching packages\u001b[22m ────────────────────────────────────── tidymodels 1.0.0 ──\n",
      "\n",
      "\u001b[32m✔\u001b[39m \u001b[34mbroom       \u001b[39m 1.0.3     \u001b[32m✔\u001b[39m \u001b[34mrsample     \u001b[39m 1.1.1\n",
      "\u001b[32m✔\u001b[39m \u001b[34mdials       \u001b[39m 1.1.0     \u001b[32m✔\u001b[39m \u001b[34mtune        \u001b[39m 1.0.1\n",
      "\u001b[32m✔\u001b[39m \u001b[34minfer       \u001b[39m 1.0.4     \u001b[32m✔\u001b[39m \u001b[34mworkflows   \u001b[39m 1.1.3\n",
      "\u001b[32m✔\u001b[39m \u001b[34mmodeldata   \u001b[39m 1.1.0     \u001b[32m✔\u001b[39m \u001b[34mworkflowsets\u001b[39m 1.0.0\n",
      "\u001b[32m✔\u001b[39m \u001b[34mparsnip     \u001b[39m 1.0.4     \u001b[32m✔\u001b[39m \u001b[34myardstick   \u001b[39m 1.1.0\n",
      "\u001b[32m✔\u001b[39m \u001b[34mrecipes     \u001b[39m 1.0.5     \n",
      "\n",
      "── \u001b[1mConflicts\u001b[22m ───────────────────────────────────────── tidymodels_conflicts() ──\n",
      "\u001b[31m✖\u001b[39m \u001b[34mscales\u001b[39m::\u001b[32mdiscard()\u001b[39m masks \u001b[34mpurrr\u001b[39m::discard()\n",
      "\u001b[31m✖\u001b[39m \u001b[34mdplyr\u001b[39m::\u001b[32mfilter()\u001b[39m   masks \u001b[34mstats\u001b[39m::filter()\n",
      "\u001b[31m✖\u001b[39m \u001b[34mrecipes\u001b[39m::\u001b[32mfixed()\u001b[39m  masks \u001b[34mstringr\u001b[39m::fixed()\n",
      "\u001b[31m✖\u001b[39m \u001b[34mdplyr\u001b[39m::\u001b[32mlag()\u001b[39m      masks \u001b[34mstats\u001b[39m::lag()\n",
      "\u001b[31m✖\u001b[39m \u001b[34myardstick\u001b[39m::\u001b[32mspec()\u001b[39m masks \u001b[34mreadr\u001b[39m::spec()\n",
      "\u001b[31m✖\u001b[39m \u001b[34mrecipes\u001b[39m::\u001b[32mstep()\u001b[39m   masks \u001b[34mstats\u001b[39m::step()\n",
      "\u001b[34m•\u001b[39m Search for functions across packages at \u001b[32mhttps://www.tidymodels.org/find/\u001b[39m\n",
      "\n"
     ]
    }
   ],
   "source": [
    "### Setup\n",
    "library(tidyverse)\n",
    "library(repr)\n",
    "library(tidymodels)\n",
    "options(repr.matrix.max.rows = 6)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "70060eaf",
   "metadata": {},
   "source": [
    "Since the dataset has 1M rows, we first downloaded Base.csv locally and randomly sampled 100,000 rows, which we then wrote to a .csv file and hosted on Google Sheets. We then read the data in again from Google Sheets:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "0d1c425c",
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[1mRows: \u001b[22m\u001b[34m100000\u001b[39m \u001b[1mColumns: \u001b[22m\u001b[34m32\u001b[39m\n",
      "\u001b[36m──\u001b[39m \u001b[1mColumn specification\u001b[22m \u001b[36m────────────────────────────────────────────────────────\u001b[39m\n",
      "\u001b[1mDelimiter:\u001b[22m \",\"\n",
      "\u001b[31mchr\u001b[39m  (5): payment_type, employment_status, housing_status, source, device_os\n",
      "\u001b[32mdbl\u001b[39m (27): fraud_bool, income, name_email_similarity, prev_address_months_cou...\n",
      "\n",
      "\u001b[36mℹ\u001b[39m Use `spec()` to retrieve the full column specification for this data.\n",
      "\u001b[36mℹ\u001b[39m Specify the column types or set `show_col_types = FALSE` to quiet this message.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A tibble: 100000 × 32</caption>\n",
       "<thead>\n",
       "\t<tr><th scope=col>fraud_bool</th><th scope=col>income</th><th scope=col>name_email_similarity</th><th scope=col>prev_address_months_count</th><th scope=col>current_address_months_count</th><th scope=col>customer_age</th><th scope=col>days_since_request</th><th scope=col>intended_balcon_amount</th><th scope=col>payment_type</th><th scope=col>zip_count_4w</th><th scope=col>⋯</th><th scope=col>has_other_cards</th><th scope=col>proposed_credit_limit</th><th scope=col>foreign_request</th><th scope=col>source</th><th scope=col>session_length_in_minutes</th><th scope=col>device_os</th><th scope=col>keep_alive_session</th><th scope=col>device_distinct_emails_8w</th><th scope=col>device_fraud_count</th><th scope=col>month</th></tr>\n",
       "\t<tr><th scope=col>&lt;fct&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>⋯</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><td>1</td><td>0.9</td><td>0.16682773</td><td>-1</td><td> 88</td><td>50</td><td>0.020925173</td><td>-1.3313450</td><td>AA</td><td>769</td><td>⋯</td><td>0</td><td> 500</td><td>0</td><td>INTERNET</td><td> 3.888115</td><td>windows</td><td>0</td><td>1</td><td>0</td><td>7</td></tr>\n",
       "\t<tr><td>1</td><td>0.9</td><td>0.29628601</td><td>-1</td><td>144</td><td>50</td><td>0.005417538</td><td>-0.8162238</td><td>AB</td><td>366</td><td>⋯</td><td>0</td><td>1500</td><td>0</td><td>INTERNET</td><td>31.798819</td><td>windows</td><td>0</td><td>1</td><td>0</td><td>7</td></tr>\n",
       "\t<tr><td>1</td><td>0.9</td><td>0.04498549</td><td>-1</td><td>132</td><td>40</td><td>3.108548793</td><td>-0.7557277</td><td>AC</td><td>870</td><td>⋯</td><td>0</td><td> 200</td><td>0</td><td>INTERNET</td><td> 4.728705</td><td>other  </td><td>0</td><td>1</td><td>0</td><td>7</td></tr>\n",
       "\t<tr><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋱</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td></tr>\n",
       "\t<tr><td>0</td><td>0.6</td><td>0.8435506</td><td>-1</td><td>18</td><td>40</td><td>0.01090603</td><td>-0.8543749</td><td>AB</td><td>602</td><td>⋯</td><td>0</td><td>1500</td><td>0</td><td>INTERNET</td><td>5.939641</td><td>other  </td><td>1</td><td>1</td><td>0</td><td>3</td></tr>\n",
       "\t<tr><td>0</td><td>0.4</td><td>0.6882371</td><td>-1</td><td>50</td><td>20</td><td>0.02786849</td><td>50.3059704</td><td>AA</td><td>691</td><td>⋯</td><td>0</td><td> 500</td><td>0</td><td>INTERNET</td><td>3.273092</td><td>linux  </td><td>1</td><td>1</td><td>0</td><td>3</td></tr>\n",
       "\t<tr><td>0</td><td>0.7</td><td>0.7537215</td><td>-1</td><td>50</td><td>30</td><td>0.02482313</td><td>98.5380625</td><td>AA</td><td>878</td><td>⋯</td><td>1</td><td> 500</td><td>0</td><td>INTERNET</td><td>6.452148</td><td>windows</td><td>0</td><td>1</td><td>0</td><td>3</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A tibble: 100000 × 32\n",
       "\\begin{tabular}{lllllllllllllllllllll}\n",
       " fraud\\_bool & income & name\\_email\\_similarity & prev\\_address\\_months\\_count & current\\_address\\_months\\_count & customer\\_age & days\\_since\\_request & intended\\_balcon\\_amount & payment\\_type & zip\\_count\\_4w & ⋯ & has\\_other\\_cards & proposed\\_credit\\_limit & foreign\\_request & source & session\\_length\\_in\\_minutes & device\\_os & keep\\_alive\\_session & device\\_distinct\\_emails\\_8w & device\\_fraud\\_count & month\\\\\n",
       " <fct> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <chr> & <dbl> & ⋯ & <dbl> & <dbl> & <dbl> & <chr> & <dbl> & <chr> & <dbl> & <dbl> & <dbl> & <dbl>\\\\\n",
       "\\hline\n",
       "\t 1 & 0.9 & 0.16682773 & -1 &  88 & 50 & 0.020925173 & -1.3313450 & AA & 769 & ⋯ & 0 &  500 & 0 & INTERNET &  3.888115 & windows & 0 & 1 & 0 & 7\\\\\n",
       "\t 1 & 0.9 & 0.29628601 & -1 & 144 & 50 & 0.005417538 & -0.8162238 & AB & 366 & ⋯ & 0 & 1500 & 0 & INTERNET & 31.798819 & windows & 0 & 1 & 0 & 7\\\\\n",
       "\t 1 & 0.9 & 0.04498549 & -1 & 132 & 40 & 3.108548793 & -0.7557277 & AC & 870 & ⋯ & 0 &  200 & 0 & INTERNET &  4.728705 & other   & 0 & 1 & 0 & 7\\\\\n",
       "\t ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋱ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮\\\\\n",
       "\t 0 & 0.6 & 0.8435506 & -1 & 18 & 40 & 0.01090603 & -0.8543749 & AB & 602 & ⋯ & 0 & 1500 & 0 & INTERNET & 5.939641 & other   & 1 & 1 & 0 & 3\\\\\n",
       "\t 0 & 0.4 & 0.6882371 & -1 & 50 & 20 & 0.02786849 & 50.3059704 & AA & 691 & ⋯ & 0 &  500 & 0 & INTERNET & 3.273092 & linux   & 1 & 1 & 0 & 3\\\\\n",
       "\t 0 & 0.7 & 0.7537215 & -1 & 50 & 30 & 0.02482313 & 98.5380625 & AA & 878 & ⋯ & 1 &  500 & 0 & INTERNET & 6.452148 & windows & 0 & 1 & 0 & 3\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A tibble: 100000 × 32\n",
       "\n",
       "| fraud_bool &lt;fct&gt; | income &lt;dbl&gt; | name_email_similarity &lt;dbl&gt; | prev_address_months_count &lt;dbl&gt; | current_address_months_count &lt;dbl&gt; | customer_age &lt;dbl&gt; | days_since_request &lt;dbl&gt; | intended_balcon_amount &lt;dbl&gt; | payment_type &lt;chr&gt; | zip_count_4w &lt;dbl&gt; | ⋯ ⋯ | has_other_cards &lt;dbl&gt; | proposed_credit_limit &lt;dbl&gt; | foreign_request &lt;dbl&gt; | source &lt;chr&gt; | session_length_in_minutes &lt;dbl&gt; | device_os &lt;chr&gt; | keep_alive_session &lt;dbl&gt; | device_distinct_emails_8w &lt;dbl&gt; | device_fraud_count &lt;dbl&gt; | month &lt;dbl&gt; |\n",
       "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n",
       "| 1 | 0.9 | 0.16682773 | -1 |  88 | 50 | 0.020925173 | -1.3313450 | AA | 769 | ⋯ | 0 |  500 | 0 | INTERNET |  3.888115 | windows | 0 | 1 | 0 | 7 |\n",
       "| 1 | 0.9 | 0.29628601 | -1 | 144 | 50 | 0.005417538 | -0.8162238 | AB | 366 | ⋯ | 0 | 1500 | 0 | INTERNET | 31.798819 | windows | 0 | 1 | 0 | 7 |\n",
       "| 1 | 0.9 | 0.04498549 | -1 | 132 | 40 | 3.108548793 | -0.7557277 | AC | 870 | ⋯ | 0 |  200 | 0 | INTERNET |  4.728705 | other   | 0 | 1 | 0 | 7 |\n",
       "| ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋱ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ |\n",
       "| 0 | 0.6 | 0.8435506 | -1 | 18 | 40 | 0.01090603 | -0.8543749 | AB | 602 | ⋯ | 0 | 1500 | 0 | INTERNET | 5.939641 | other   | 1 | 1 | 0 | 3 |\n",
       "| 0 | 0.4 | 0.6882371 | -1 | 50 | 20 | 0.02786849 | 50.3059704 | AA | 691 | ⋯ | 0 |  500 | 0 | INTERNET | 3.273092 | linux   | 1 | 1 | 0 | 3 |\n",
       "| 0 | 0.7 | 0.7537215 | -1 | 50 | 30 | 0.02482313 | 98.5380625 | AA | 878 | ⋯ | 1 |  500 | 0 | INTERNET | 6.452148 | windows | 0 | 1 | 0 | 3 |\n",
       "\n"
      ],
      "text/plain": [
       "       fraud_bool income name_email_similarity prev_address_months_count\n",
       "1      1          0.9    0.16682773            -1                       \n",
       "2      1          0.9    0.29628601            -1                       \n",
       "3      1          0.9    0.04498549            -1                       \n",
       "⋮      ⋮          ⋮      ⋮                     ⋮                        \n",
       "99998  0          0.6    0.8435506             -1                       \n",
       "99999  0          0.4    0.6882371             -1                       \n",
       "100000 0          0.7    0.7537215             -1                       \n",
       "       current_address_months_count customer_age days_since_request\n",
       "1       88                          50           0.020925173       \n",
       "2      144                          50           0.005417538       \n",
       "3      132                          40           3.108548793       \n",
       "⋮      ⋮                            ⋮            ⋮                 \n",
       "99998  18                           40           0.01090603        \n",
       "99999  50                           20           0.02786849        \n",
       "100000 50                           30           0.02482313        \n",
       "       intended_balcon_amount payment_type zip_count_4w ⋯ has_other_cards\n",
       "1      -1.3313450             AA           769          ⋯ 0              \n",
       "2      -0.8162238             AB           366          ⋯ 0              \n",
       "3      -0.7557277             AC           870          ⋯ 0              \n",
       "⋮      ⋮                      ⋮            ⋮            ⋱ ⋮              \n",
       "99998  -0.8543749             AB           602          ⋯ 0              \n",
       "99999  50.3059704             AA           691          ⋯ 0              \n",
       "100000 98.5380625             AA           878          ⋯ 1              \n",
       "       proposed_credit_limit foreign_request source   session_length_in_minutes\n",
       "1       500                  0               INTERNET  3.888115                \n",
       "2      1500                  0               INTERNET 31.798819                \n",
       "3       200                  0               INTERNET  4.728705                \n",
       "⋮      ⋮                     ⋮               ⋮        ⋮                        \n",
       "99998  1500                  0               INTERNET 5.939641                 \n",
       "99999   500                  0               INTERNET 3.273092                 \n",
       "100000  500                  0               INTERNET 6.452148                 \n",
       "       device_os keep_alive_session device_distinct_emails_8w\n",
       "1      windows   0                  1                        \n",
       "2      windows   0                  1                        \n",
       "3      other     0                  1                        \n",
       "⋮      ⋮         ⋮                  ⋮                        \n",
       "99998  other     1                  1                        \n",
       "99999  linux     1                  1                        \n",
       "100000 windows   0                  1                        \n",
       "       device_fraud_count month\n",
       "1      0                  7    \n",
       "2      0                  7    \n",
       "3      0                  7    \n",
       "⋮      ⋮                  ⋮    \n",
       "99998  0                  3    \n",
       "99999  0                  3    \n",
       "100000 0                  3    "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fraud_data <- read_csv(\"https://docs.google.com/spreadsheets/d/e/2PACX-1vRL6hq0R8gYhL5VhHlCOGGSKTea3N54QsEC8zcr5pHwuY2Ly5Zc6G83araSMkzwQF7suK_o6tr-4MEP/pub?output=csv\")|>\n",
    "mutate(fraud_bool=as_factor(fraud_bool))\n",
    "\n",
    "fraud_data"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cb5b7ce7",
   "metadata": {},
   "source": [
    "We then narrowed the dataset down to the 6 variables which we felt were most likely to be indicators of fraudulence, as well as the label to be predicted (whether the bank account was fraudulent): \n",
    "\n",
    "- Credit risk score\n",
    "- Income\n",
    "- Months lived at current address\n",
    "- Name-email similarity\n",
    "- Session length in minutes\n",
    "- Proposed credit limit\n",
    "\n",
    "In addition, we also filtered for observations with the following characteristics:\n",
    "\n",
    "- From the month of July\n",
    "- With the employment status of 'CA' \n",
    "- With the housing status of 'BA'\n",
    "\n",
    "Since the dataset is synthetic, the employment and housing statuses have arbitrary meaning. \n",
    "\n",
    "We also split the data into training and testing datasets.\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "cd385be8",
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A tibble: 15369 × 7</caption>\n",
       "<thead>\n",
       "\t<tr><th scope=col>fraud_bool</th><th scope=col>credit_risk_score</th><th scope=col>income</th><th scope=col>current_address_months_count</th><th scope=col>name_email_similarity</th><th scope=col>session_length_in_minutes</th><th scope=col>proposed_credit_limit</th></tr>\n",
       "\t<tr><th scope=col>&lt;fct&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><td>1</td><td>185</td><td>0.9</td><td> 88</td><td>0.1668277</td><td> 3.888115</td><td> 500</td></tr>\n",
       "\t<tr><td>1</td><td>259</td><td>0.9</td><td>144</td><td>0.2962860</td><td>31.798819</td><td>1500</td></tr>\n",
       "\t<tr><td>1</td><td>110</td><td>0.9</td><td> 22</td><td>0.1595112</td><td> 2.047904</td><td> 200</td></tr>\n",
       "\t<tr><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td></tr>\n",
       "\t<tr><td>0</td><td>179</td><td>0.9</td><td>134</td><td>0.6891395</td><td>2.310369</td><td> 500</td></tr>\n",
       "\t<tr><td>0</td><td>234</td><td>0.9</td><td>  3</td><td>0.5094120</td><td>2.943703</td><td>1000</td></tr>\n",
       "\t<tr><td>0</td><td>244</td><td>0.8</td><td>131</td><td>0.8623505</td><td>4.555719</td><td>1500</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A tibble: 15369 × 7\n",
       "\\begin{tabular}{lllllll}\n",
       " fraud\\_bool & credit\\_risk\\_score & income & current\\_address\\_months\\_count & name\\_email\\_similarity & session\\_length\\_in\\_minutes & proposed\\_credit\\_limit\\\\\n",
       " <fct> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl>\\\\\n",
       "\\hline\n",
       "\t 1 & 185 & 0.9 &  88 & 0.1668277 &  3.888115 &  500\\\\\n",
       "\t 1 & 259 & 0.9 & 144 & 0.2962860 & 31.798819 & 1500\\\\\n",
       "\t 1 & 110 & 0.9 &  22 & 0.1595112 &  2.047904 &  200\\\\\n",
       "\t ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮\\\\\n",
       "\t 0 & 179 & 0.9 & 134 & 0.6891395 & 2.310369 &  500\\\\\n",
       "\t 0 & 234 & 0.9 &   3 & 0.5094120 & 2.943703 & 1000\\\\\n",
       "\t 0 & 244 & 0.8 & 131 & 0.8623505 & 4.555719 & 1500\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A tibble: 15369 × 7\n",
       "\n",
       "| fraud_bool &lt;fct&gt; | credit_risk_score &lt;dbl&gt; | income &lt;dbl&gt; | current_address_months_count &lt;dbl&gt; | name_email_similarity &lt;dbl&gt; | session_length_in_minutes &lt;dbl&gt; | proposed_credit_limit &lt;dbl&gt; |\n",
       "|---|---|---|---|---|---|---|\n",
       "| 1 | 185 | 0.9 |  88 | 0.1668277 |  3.888115 |  500 |\n",
       "| 1 | 259 | 0.9 | 144 | 0.2962860 | 31.798819 | 1500 |\n",
       "| 1 | 110 | 0.9 |  22 | 0.1595112 |  2.047904 |  200 |\n",
       "| ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ |\n",
       "| 0 | 179 | 0.9 | 134 | 0.6891395 | 2.310369 |  500 |\n",
       "| 0 | 234 | 0.9 |   3 | 0.5094120 | 2.943703 | 1000 |\n",
       "| 0 | 244 | 0.8 | 131 | 0.8623505 | 4.555719 | 1500 |\n",
       "\n"
      ],
      "text/plain": [
       "      fraud_bool credit_risk_score income current_address_months_count\n",
       "1     1          185               0.9     88                         \n",
       "2     1          259               0.9    144                         \n",
       "3     1          110               0.9     22                         \n",
       "⋮     ⋮          ⋮                 ⋮      ⋮                           \n",
       "15367 0          179               0.9    134                         \n",
       "15368 0          234               0.9      3                         \n",
       "15369 0          244               0.8    131                         \n",
       "      name_email_similarity session_length_in_minutes proposed_credit_limit\n",
       "1     0.1668277              3.888115                  500                 \n",
       "2     0.2962860             31.798819                 1500                 \n",
       "3     0.1595112              2.047904                  200                 \n",
       "⋮     ⋮                     ⋮                         ⋮                    \n",
       "15367 0.6891395             2.310369                   500                 \n",
       "15368 0.5094120             2.943703                  1000                 \n",
       "15369 0.8623505             4.555719                  1500                 "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A tibble: 11526 × 7</caption>\n",
       "<thead>\n",
       "\t<tr><th scope=col>fraud_bool</th><th scope=col>credit_risk_score</th><th scope=col>income</th><th scope=col>current_address_months_count</th><th scope=col>name_email_similarity</th><th scope=col>session_length_in_minutes</th><th scope=col>proposed_credit_limit</th></tr>\n",
       "\t<tr><th scope=col>&lt;fct&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><td>1</td><td>185</td><td>0.9</td><td> 88</td><td>0.1668277</td><td> 3.888115</td><td> 500</td></tr>\n",
       "\t<tr><td>1</td><td>259</td><td>0.9</td><td>144</td><td>0.2962860</td><td>31.798819</td><td>1500</td></tr>\n",
       "\t<tr><td>1</td><td>295</td><td>0.9</td><td>218</td><td>0.5964137</td><td> 3.775225</td><td>1500</td></tr>\n",
       "\t<tr><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td></tr>\n",
       "\t<tr><td>0</td><td>154</td><td>0.9</td><td> 40</td><td>0.04758588</td><td>1.075560</td><td> 200</td></tr>\n",
       "\t<tr><td>0</td><td>266</td><td>0.4</td><td>141</td><td>0.02963662</td><td>5.247373</td><td>1000</td></tr>\n",
       "\t<tr><td>0</td><td>244</td><td>0.8</td><td>131</td><td>0.86235045</td><td>4.555719</td><td>1500</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A tibble: 11526 × 7\n",
       "\\begin{tabular}{lllllll}\n",
       " fraud\\_bool & credit\\_risk\\_score & income & current\\_address\\_months\\_count & name\\_email\\_similarity & session\\_length\\_in\\_minutes & proposed\\_credit\\_limit\\\\\n",
       " <fct> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl>\\\\\n",
       "\\hline\n",
       "\t 1 & 185 & 0.9 &  88 & 0.1668277 &  3.888115 &  500\\\\\n",
       "\t 1 & 259 & 0.9 & 144 & 0.2962860 & 31.798819 & 1500\\\\\n",
       "\t 1 & 295 & 0.9 & 218 & 0.5964137 &  3.775225 & 1500\\\\\n",
       "\t ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮\\\\\n",
       "\t 0 & 154 & 0.9 &  40 & 0.04758588 & 1.075560 &  200\\\\\n",
       "\t 0 & 266 & 0.4 & 141 & 0.02963662 & 5.247373 & 1000\\\\\n",
       "\t 0 & 244 & 0.8 & 131 & 0.86235045 & 4.555719 & 1500\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A tibble: 11526 × 7\n",
       "\n",
       "| fraud_bool &lt;fct&gt; | credit_risk_score &lt;dbl&gt; | income &lt;dbl&gt; | current_address_months_count &lt;dbl&gt; | name_email_similarity &lt;dbl&gt; | session_length_in_minutes &lt;dbl&gt; | proposed_credit_limit &lt;dbl&gt; |\n",
       "|---|---|---|---|---|---|---|\n",
       "| 1 | 185 | 0.9 |  88 | 0.1668277 |  3.888115 |  500 |\n",
       "| 1 | 259 | 0.9 | 144 | 0.2962860 | 31.798819 | 1500 |\n",
       "| 1 | 295 | 0.9 | 218 | 0.5964137 |  3.775225 | 1500 |\n",
       "| ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ |\n",
       "| 0 | 154 | 0.9 |  40 | 0.04758588 | 1.075560 |  200 |\n",
       "| 0 | 266 | 0.4 | 141 | 0.02963662 | 5.247373 | 1000 |\n",
       "| 0 | 244 | 0.8 | 131 | 0.86235045 | 4.555719 | 1500 |\n",
       "\n"
      ],
      "text/plain": [
       "      fraud_bool credit_risk_score income current_address_months_count\n",
       "1     1          185               0.9     88                         \n",
       "2     1          259               0.9    144                         \n",
       "3     1          295               0.9    218                         \n",
       "⋮     ⋮          ⋮                 ⋮      ⋮                           \n",
       "11524 0          154               0.9     40                         \n",
       "11525 0          266               0.4    141                         \n",
       "11526 0          244               0.8    131                         \n",
       "      name_email_similarity session_length_in_minutes proposed_credit_limit\n",
       "1     0.1668277              3.888115                  500                 \n",
       "2     0.2962860             31.798819                 1500                 \n",
       "3     0.5964137              3.775225                 1500                 \n",
       "⋮     ⋮                     ⋮                         ⋮                    \n",
       "11524 0.04758588            1.075560                   200                 \n",
       "11525 0.02963662            5.247373                  1000                 \n",
       "11526 0.86235045            4.555719                  1500                 "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A tibble: 3843 × 7</caption>\n",
       "<thead>\n",
       "\t<tr><th scope=col>fraud_bool</th><th scope=col>credit_risk_score</th><th scope=col>income</th><th scope=col>current_address_months_count</th><th scope=col>name_email_similarity</th><th scope=col>session_length_in_minutes</th><th scope=col>proposed_credit_limit</th></tr>\n",
       "\t<tr><th scope=col>&lt;fct&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><td>1</td><td>110</td><td>0.9</td><td> 22</td><td>0.1595112</td><td>2.047904</td><td>200</td></tr>\n",
       "\t<tr><td>1</td><td>220</td><td>0.9</td><td>162</td><td>0.6115532</td><td>3.531939</td><td>200</td></tr>\n",
       "\t<tr><td>1</td><td>143</td><td>0.9</td><td>186</td><td>0.1254526</td><td>3.070971</td><td>200</td></tr>\n",
       "\t<tr><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td></tr>\n",
       "\t<tr><td>0</td><td> 46</td><td>0.8</td><td>137</td><td>0.02774166</td><td>2.463003</td><td> 200</td></tr>\n",
       "\t<tr><td>0</td><td>179</td><td>0.9</td><td>134</td><td>0.68913946</td><td>2.310369</td><td> 500</td></tr>\n",
       "\t<tr><td>0</td><td>234</td><td>0.9</td><td>  3</td><td>0.50941196</td><td>2.943703</td><td>1000</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A tibble: 3843 × 7\n",
       "\\begin{tabular}{lllllll}\n",
       " fraud\\_bool & credit\\_risk\\_score & income & current\\_address\\_months\\_count & name\\_email\\_similarity & session\\_length\\_in\\_minutes & proposed\\_credit\\_limit\\\\\n",
       " <fct> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl>\\\\\n",
       "\\hline\n",
       "\t 1 & 110 & 0.9 &  22 & 0.1595112 & 2.047904 & 200\\\\\n",
       "\t 1 & 220 & 0.9 & 162 & 0.6115532 & 3.531939 & 200\\\\\n",
       "\t 1 & 143 & 0.9 & 186 & 0.1254526 & 3.070971 & 200\\\\\n",
       "\t ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮\\\\\n",
       "\t 0 &  46 & 0.8 & 137 & 0.02774166 & 2.463003 &  200\\\\\n",
       "\t 0 & 179 & 0.9 & 134 & 0.68913946 & 2.310369 &  500\\\\\n",
       "\t 0 & 234 & 0.9 &   3 & 0.50941196 & 2.943703 & 1000\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A tibble: 3843 × 7\n",
       "\n",
       "| fraud_bool &lt;fct&gt; | credit_risk_score &lt;dbl&gt; | income &lt;dbl&gt; | current_address_months_count &lt;dbl&gt; | name_email_similarity &lt;dbl&gt; | session_length_in_minutes &lt;dbl&gt; | proposed_credit_limit &lt;dbl&gt; |\n",
       "|---|---|---|---|---|---|---|\n",
       "| 1 | 110 | 0.9 |  22 | 0.1595112 | 2.047904 | 200 |\n",
       "| 1 | 220 | 0.9 | 162 | 0.6115532 | 3.531939 | 200 |\n",
       "| 1 | 143 | 0.9 | 186 | 0.1254526 | 3.070971 | 200 |\n",
       "| ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ |\n",
       "| 0 |  46 | 0.8 | 137 | 0.02774166 | 2.463003 |  200 |\n",
       "| 0 | 179 | 0.9 | 134 | 0.68913946 | 2.310369 |  500 |\n",
       "| 0 | 234 | 0.9 |   3 | 0.50941196 | 2.943703 | 1000 |\n",
       "\n"
      ],
      "text/plain": [
       "     fraud_bool credit_risk_score income current_address_months_count\n",
       "1    1          110               0.9     22                         \n",
       "2    1          220               0.9    162                         \n",
       "3    1          143               0.9    186                         \n",
       "⋮    ⋮          ⋮                 ⋮      ⋮                           \n",
       "3841 0           46               0.8    137                         \n",
       "3842 0          179               0.9    134                         \n",
       "3843 0          234               0.9      3                         \n",
       "     name_email_similarity session_length_in_minutes proposed_credit_limit\n",
       "1    0.1595112             2.047904                  200                  \n",
       "2    0.6115532             3.531939                  200                  \n",
       "3    0.1254526             3.070971                  200                  \n",
       "⋮    ⋮                     ⋮                         ⋮                    \n",
       "3841 0.02774166            2.463003                   200                 \n",
       "3842 0.68913946            2.310369                   500                 \n",
       "3843 0.50941196            2.943703                  1000                 "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "11526"
      ],
      "text/latex": [
       "11526"
      ],
      "text/markdown": [
       "11526"
      ],
      "text/plain": [
       "[1] 11526"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "set.seed(9999)\n",
    "\n",
    "fraud_narrowed <- fraud_data |>\n",
    "    filter(month == 7, employment_status == \"CA\", housing_status == \"BA\") |>\n",
    "    select(fraud_bool, credit_risk_score, income, current_address_months_count, name_email_similarity, session_length_in_minutes, proposed_credit_limit)    \n",
    "fraud_narrowed\n",
    "\n",
    "fraud_split <- initial_split(fraud_narrowed, prop = 0.75, strata = fraud_bool)\n",
    "fraud_train <- training(fraud_split)\n",
    "fraud_test <- testing(fraud_split) \n",
    "\n",
    "fraud_train\n",
    "fraud_test \n",
    "\n",
    "number_of_rows <- nrow(fraud_train)\n",
    "number_of_rows"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "77ba3307",
   "metadata": {},
   "source": [
    "We were left with 11526 rows of training data. The original dataset was already tidy, so there was no need to wrangle our data. We then performed preliminary data exploration using ggplot:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "c91da44d",
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A tibble: 2 × 3</caption>\n",
       "<thead>\n",
       "\t<tr><th scope=col>fraud_bool</th><th scope=col>count</th><th scope=col>percentage</th></tr>\n",
       "\t<tr><th scope=col>&lt;fct&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;dbl&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><td>0</td><td>10922</td><td>94.759674</td></tr>\n",
       "\t<tr><td>1</td><td>  604</td><td> 5.240326</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A tibble: 2 × 3\n",
       "\\begin{tabular}{lll}\n",
       " fraud\\_bool & count & percentage\\\\\n",
       " <fct> & <int> & <dbl>\\\\\n",
       "\\hline\n",
       "\t 0 & 10922 & 94.759674\\\\\n",
       "\t 1 &   604 &  5.240326\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A tibble: 2 × 3\n",
       "\n",
       "| fraud_bool &lt;fct&gt; | count &lt;int&gt; | percentage &lt;dbl&gt; |\n",
       "|---|---|---|\n",
       "| 0 | 10922 | 94.759674 |\n",
       "| 1 |   604 |  5.240326 |\n",
       "\n"
      ],
      "text/plain": [
       "  fraud_bool count percentage\n",
       "1 0          10922 94.759674 \n",
       "2 1            604  5.240326 "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fraud_ratio_train <- fraud_train |>\n",
    "    group_by(fraud_bool) |>\n",
    "    summarize(count = n()) \n",
    "\n",
    "fraud_percentages <- fraud_ratio_train |>\n",
    "    mutate(percentage = (count / number_of_rows) * 100)\n",
    "\n",
    "fraud_percentages_plot <- fraud_percentages |>\n",
    "    ggplot(aes(x = fraud_bool, y = percentage, fill = fraud_bool)) +\n",
    "    geom_bar(stat = \"identity\") +\n",
    "    xlab(\"Fraudulence\") +\n",
    "    ylab(\"Number of accounts\") +\n",
    "    labs(fill = \"Fraudulence\") + \n",
    "    ggtitle(\"95% legitimate accounts, 5% fraudulent accounts\")\n",
    "\n",
    "fraud_percentages\n",
    "fraud_percentages_plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "0748e13b",
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A tibble: 2 × 2</caption>\n",
       "<thead>\n",
       "\t<tr><th scope=col>fraud_bool</th><th scope=col>credit</th></tr>\n",
       "\t<tr><th scope=col>&lt;fct&gt;</th><th scope=col>&lt;dbl&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><td>0</td><td>180.2160</td></tr>\n",
       "\t<tr><td>1</td><td>206.5281</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A tibble: 2 × 2\n",
       "\\begin{tabular}{ll}\n",
       " fraud\\_bool & credit\\\\\n",
       " <fct> & <dbl>\\\\\n",
       "\\hline\n",
       "\t 0 & 180.2160\\\\\n",
       "\t 1 & 206.5281\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A tibble: 2 × 2\n",
       "\n",
       "| fraud_bool &lt;fct&gt; | credit &lt;dbl&gt; |\n",
       "|---|---|\n",
       "| 0 | 180.2160 |\n",
       "| 1 | 206.5281 |\n",
       "\n"
      ],
      "text/plain": [
       "  fraud_bool credit  \n",
       "1 0          180.2160\n",
       "2 1          206.5281"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Warning message:\n",
      "“\u001b[1m\u001b[22mUsing `size` aesthetic for lines was deprecated in ggplot2 3.4.0.\n",
      "\u001b[36mℹ\u001b[39m Please use `linewidth` instead.”\n",
      "\u001b[1m\u001b[22m`stat_bin()` using `bins = 30`. Pick better value with `binwidth`.\n",
      "\u001b[1m\u001b[22m`stat_bin()` using `bins = 30`. Pick better value with `binwidth`.\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA0gAAANICAYAAAD958/bAAAEDmlDQ1BrQ0dDb2xvclNwYWNlR2VuZXJpY1JHQgAAOI2NVV1oHFUUPpu5syskzoPUpqaSDv41lLRsUtGE2uj+ZbNt3CyTbLRBkMns3Z1pJjPj/KRpKT4UQRDBqOCT4P9bwSchaqvtiy2itFCiBIMo+ND6R6HSFwnruTOzu5O4a73L3PnmnO9+595z7t4LkLgsW5beJQIsGq4t5dPis8fmxMQ6dMF90A190C0rjpUqlSYBG+PCv9rt7yDG3tf2t/f/Z+uuUEcBiN2F2Kw4yiLiZQD+FcWyXYAEQfvICddi+AnEO2ycIOISw7UAVxieD/Cyz5mRMohfRSwoqoz+xNuIB+cj9loEB3Pw2448NaitKSLLRck2q5pOI9O9g/t/tkXda8Tbg0+PszB9FN8DuPaXKnKW4YcQn1Xk3HSIry5ps8UQ/2W5aQnxIwBdu7yFcgrxPsRjVXu8HOh0qao30cArp9SZZxDfg3h1wTzKxu5E/LUxX5wKdX5SnAzmDx4A4OIqLbB69yMesE1pKojLjVdoNsfyiPi45hZmAn3uLWdpOtfQOaVmikEs7ovj8hFWpz7EV6mel0L9Xy23FMYlPYZenAx0yDB1/PX6dledmQjikjkXCxqMJS9WtfFCyH9XtSekEF+2dH+P4tzITduTygGfv58a5VCTH5PtXD7EFZiNyUDBhHnsFTBgE0SQIA9pfFtgo6cKGuhooeilaKH41eDs38Ip+f4At1Rq/sjr6NEwQqb/I/DQqsLvaFUjvAx+eWirddAJZnAj1DFJL0mSg/gcIpPkMBkhoyCSJ8lTZIxk0TpKDjXHliJzZPO50dR5ASNSnzeLvIvod0HG/mdkmOC0z8VKnzcQ2M/Yz2vKldduXjp9bleLu0ZWn7vWc+l0JGcaai10yNrUnXLP/8Jf59ewX+c3Wgz+B34Df+vbVrc16zTMVgp9um9bxEfzPU5kPqUtVWxhs6OiWTVW+gIfywB9uXi7CGcGW/zk98k/kmvJ95IfJn/j3uQ+4c5zn3Kfcd+AyF3gLnJfcl9xH3OfR2rUee80a+6vo7EK5mmXUdyfQlrYLTwoZIU9wsPCZEtP6BWGhAlhL3p2N6sTjRdduwbHsG9kq32sgBepc+xurLPW4T9URpYGJ3ym4+8zA05u44QjST8ZIoVtu3qE7fWmdn5LPdqvgcZz8Ww8BWJ8X3w0PhQ/wnCDGd+LvlHs8dRy6bLLDuKMaZ20tZrqisPJ5ONiCq8yKhYM5cCgKOu66Lsc0aYOtZdo5QCwezI4wm9J/v0X23mlZXOfBjj8Jzv3WrY5D+CsA9D7aMs2gGfjve8ArD6mePZSeCfEYt8CONWDw8FXTxrPqx/r9Vt4biXeANh8vV7/+/16ffMD1N8AuKD/A/8leAvFY9bLAAAAOGVYSWZNTQAqAAAACAABh2kABAAAAAEAAAAaAAAAAAACoAIABAAAAAEAAANIoAMABAAAAAEAAANIAAAAAN/ryxkAAEAASURBVHgB7N0HvBxV2cfx5yY3vZMQQhJCCYQSpAkEkCrdhC4dBQEBA4gIKlWKdNAA0lukdwRFBUEIHRFREEIJ0iEECEkI6WXf+Z83M87Onbu7c+/u3Jm9v/P5JHd2yjlnvmd2dp4pZxoKXjISAggggAACCCCAAAIIIICAdcAAAQQQQAABBBBAAAEEEEDg/wUIkNgSEEAAAQQQQAABBBBAAIElAgRIbAoIIIAAAggggAACCCCAwBIBAiQ2BQQQQAABBBBAAAEEEEBgiQABEpsCAggggAACCCCAAAIIILBEgACJTQEBBBBAAAEEEEAAAQQQWCJAgMSmgAACCCCAAAIIIIAAAggsESBAYlNAAAEEEEAAAQQQQAABBJYIECBVsCnst99+ttVWW7l/f/rTn8oucfTRRwfzf/DBB2XnZ4bKBP7xj38417PPPjtYYN68eW7cnnvuGYzzB2bOnGlffvml/7HFf6+++uqK2z5aSKn6Refl8/8L1Mpszpw5rh333nvviqlb0/Z+IVdeeaUr9y9/+Ys/KjN/9f343ve+Z8svv7x169bNdtppp1Tr1tblJ13Zo446yrXlxx9/nHTRYP5x48a5PB5//PFgXFoD1donplXfLJeDZZZbh7oh0HoBAqQKDP/+97/bhAkT3L/rrruu5BKfffaZ6YDIn3/WrFkl52di5QLTpk1zrhMnTgwWWrx4sRv33HPPBeM08Ic//MFWXXVVe+ONN4rGt+TDO++848qYPHly4sWbq1/ijNrRArUyW7RoUey2Uoq2NW3v5/vf//63xduPn0et/io4uuWWW0zb9siRI23EiBG1Kio237YuP7ZSJUa+9NJLri1nz55dYq7Sk9566y2Xh34r0kzV3CemWe8sloVlFluFOiFQXYHG6mZX37l16dLFHnroIdOZo169esWu7D333GM6EGtoaLBCoRA7DyOrJ9CpUyc755xzmrTH9ddf7w76qlHSDjvsYH379rX111+/GtmRRxmB5tq0zGI1mVzPba/906OPPurc3nzzTVtxxRVrYthcpm1dfnP1qtfx1dwn1qtRpeuFZaVSzIdAfgUIkBK0nQ6WHnjgAXd1Yv/9949d8o477rBBgwZZz5497e23346dh5HVE2hsbLQTTzyxehnG5OTfXhkziVE1EEijTSutdj23/dSpU23+/Pm2wgorpB4cyb+ty690G2A+BBBAAIH2J0CAlKDN9eyCAqS7777b4gKkjz76yJ5++mnTM0gPP/xwsznrCpTy+fe//226BW/ttde273znOzZs2LDYZRRoPfHEE+52sS+++MJWWmkl+8Y3vmG77LKLu1LlL6TbzF5++WXT8zi6TUnPPDz//PPWu3dv22ijjZrM7y9X6q/K1r3yus1wwIABtsUWW9iOO+4YLKLnRcaPH2/Dhw93V1iuueYaUx133nln23TTTYP6JV1nPZugq3VPPvmku+2nuWcjFi5caLrtsUePHu5ZCnnefPPN9t5777k63n///fbKK6+Y2q5fv35BvcMD5dZB66620rqvvvrqwaL/+te/XDu+//77tswyy9gaa6xhY8aMsaWWWiqYp9TAgw8+aNpmll12Wdc2pebVNN3WowBcbaz1VF1GjRrlnOOW1fzPPvusPfbYY65NdPvU97//fRs4cGCT2adPn+7y1u2LMtX2pW1Sz6aE0zPPPGP/+c9/nKduN/r973/vtl9ti+F8X3jhBdd2r7/+ui233HK2wQYbuPx0ZbVcirZpeP7Wmofz0ralbfuTTz5x9dtmm21csBCeR9+fuLbXPLrl85FHHnF5aB31vdB3Wd+B5tpU2/W9995r//znP902s8kmm5jK7dixY7jYYLgSx3Lbb5y56qDbB5W0/FVXXeWGDz74YOvcubMbrnSbqHb5etaw3DZW6T5Rz53deOON7rsf9+yZtt8pU6bYPvvs464SuxX3/tPVrRdffNH+/Oc/u3bebLPNbNddd/UnF/196qmn7LXXXrNtt93W7QfDE/X91vd85ZVXdu0cnhY3XOl+csGCBaarGApudeJOddD2rP3emmuu6fYnmqbUkn2iW3DJf5Va+8sk2e8kmbfS7TFpe1TbMul+2nfjLwIIZEzA+yEglRHwAhLdK1eYNGlSwbsNpeDdaleYMWNGk6V+/etfu/m8QKXgPf/ihr0DzqL5vADK5aH8vAOXgncw4ubzgpjCTTfdVDSvF+QUzjvvPFee5u/QoYNbRsP6961vfavw9ddfB8scd9xxbrx3EF3wgi037M+rv97Be8E7mAnmLzfwox/9KMjDu+0pGN5uu+0Kc+fOdYt7Z4Hd+N12263gBWHBPF7AUPB+eNw8SdZZC3gHLQXvgNHl5V1NcH+9AKjgBZ5u2Os0w+Wr/7wfIzduyJAhbtyHH37oPofXW8OvvvpqsEx0oNw6/PznP3d5XnvttcGiJ598clBO2Gbw4MGFCRMmBPNF6+dPuPTSS93yQ4cOLXi3N/mjm/3rHfgUtI7+eoXL/MEPftCkXbXdeYGam1/bme/oXdks/PGPfywqxwv4C17wG8zr28vce56uaF6/DbRdKl+/Pr/97W/dfN4BacF7kD2Ypu+KP493IFf49NNPi/KL+9CcWaXmcXlqnHfw6eriBS/BtuTXTX/79OlT8A7OixaPa3vN4AUYTbZRufn7AO/kQJCP/73U9ynue3nAAQcUvNtyg/k1kMSx3PZblPGSD97tokG7hA38/VqSbaLa5ZfaxpLuE7W9af1WW221OIbCxhtv7KZ7zyoG07Vv88drWf+7450wKHgnDtz83nNEwfxHHHGEG6f9bjR5J8rcNC8ACyY1N3+S/aS/LXsnogonnHCCKyPcjvo98YI7V2ZL9olaMKm1lkmy30kyb5LtsTlf1S+uPappmXQ/rTqREEAgmwI6U0YqIxAOkPwfI+/B5iZLeWfJXfCjCXEBknemuuA9u+QCnksuucQdsClg8a6UFHTQph847wx9kK/XY54bp4NoDXtn0NwB5g033FDwzli7af6BqRbyD8QUdHm3BhVuv/32gvcgcOG+++4r6AdT+cfVOygwNPCrX/3Kze+d4S54Z3PdAZzq5gdBxx57rJvbPzjq2rWrK+OUU05xQd1ll13mpiddZ/1oysi72lPwrv64A3+vx6iC9zC3q4/WoVSApANN74HzgoI4zes9TOs++8FaaBWDwXLrED1I9s7qu7y9KzIFHdTogEoHISeddJIb7z3sHuQdd7B/+eWXu/m8M7wF7yx+MG+pAR2caX3OOOOMgnfFquDdGlXwrn4UvDPTbrwOIPwkLx2IKzhRIKaDXq2j13uWm1dBkuZR8q7wFLzeywpqvyuuuMJtY6qz8vMDLO9qp591EFho/m9/+9tumUMOOaTgXTV08/jboIJ378qdO8jSNnDooYe6stUu5VKcWRLz5vL3D4TkqO+ItlG1m05oeFddXf30XQ+naNtrmoJtGcpH3y19h3UgPnbsWJeH8o8LkDR+6623dgG0d9XCBZ9LL720WyZ6ciSJY7ntN7w+/rDaS99r1Unbsb4z+qeD4qTbRLXL9wOkuG0s6T6xJQGStme57LXXXu57ou+adxUoOImgadUOkJLuJ/1tWdux9pX6XdK+U/+0f1QdV1llFdeeLdknajtJap1kv5Nk3qTbY0sDpGpYJtlP+99F/iKAQDYFCJAqaJdwgOTd4uN+fHTmLpy82xDceO95GDc6LkA66KCD3DwXXnhheFE3rB9g/ajpzK6fFBToLL13y5g/Kvj7y1/+0s1/4IEHBuP8gyqdLdWPejj95je/cfOHz2SGp4eH9eOluuiHV0FZOHm3d7krWf3793dXiPyDI83v3fIRntUNJ13n7bff3pUdF8gpAFU5pQIkvwJqH80bDjj9adG/5dYhepCs4FZ5e51DFGWlAxEdVKndvFup3LTowb7XbbRrUwU2CnQqTV4nEYXu3bsHV+X85RQA6sqgdxuRP6pw2GGHufqdeeaZwTh/4Lvf/a6bpu1Bacstt3Sf/YDWn09//bOt3m12wfbkH7zqoFpXOcJJB426sqUrXd7tZ+FJbti/aqFtvVSKmmneJObN5e0fVKrtvNsyi2b7/PPPgyu04auy0bbXQgoMlUc4KPUzGz16tJsWFyDpe6k6hNOPf/xjN//PfvazYHRSx3Lbb5BxZEBBmtbDuzW0aErSbaLa5ZfaxpLuE5MGSAqWZaLtO3pVzw8YNL3aAVLS/WR4W44G19r3a/+seoavjCXZJ2qDSGqdZL+TZN6k22NLAyR5tdYyyX666EvHBwQQyJwAAVIFTRIOkDS7fjyjt9mdddZZ7gdJAYRSXICk25gU8OiAIpr0o6aARDvp8MGlDhZ1Vjec9FlXkTTv7rvvHkzyAyQd1EWT9zySm19nuMol/0BAt0rFJd0S5h9Ehg+OdJAZTUnXWWfUdbXLew4lmpULArTOtQyQ4tYhepDsPdPjLFVXHWjHLeNXPnywr3nV/rpN07+C489X7u/mm2/uyvSeoyh4z0Q1OXgLL+8Hkv5VnfA0tZf3bi63TclY27Gu2DV36+Vaa63lyvWesXDZ+AevRx55ZDhbN6wgS+2jg/64pBMDmn7MMcfETQ7Ghc38kUnM/WWif8MHlXE2/tVR79mqYNFo2+u7Jy+vI5Ym30st9Ne//tWtY1yAFPd90tVjmYRPuCR1LPcdDFYmMhAXILVkm6hm+apiqW1M05PsE5MGSP7V3QsuuEBFNUn67qq9qh0gJd1Phrdl7xmjJvX0nk109dSVVz8lDZC0XBLrSvc7yrfSeVuyPbYmQGqtZZL9tBxICCCQXQE6afB+7ZIm7yqBeQGR683Oe37ALa6H5/WQvndAGZudHjD1Dsrcw9jebUax8+hhUSXvWSf30LiG9fJGPWivjgK82yfM+2F2DwR7ByWa7LoUdwOh/+I6e/A7DvDOiobmjB/Ug/BK6nghLnkBYpPR6gbb+5EvGp90nb1bCc0LNtxDxnEPrXu3jBTlX+0PcesQV4Ye2N53333Nu4XRvFvHzDsbat/85jddJwTqIEPvk4kmPQj+wx/+UCck3Hbg/fBHZyn5WS/H9Q5w7M4773T/vDPE5l1tcy/21Hjv6pJbXu2rB9y952lM80STtgN/W3j33XfdA/peMB88mB+d37vq4Tq50PuktH37Ka4ttN0q6cF3deYQTd5BnRvlzxedXupzS8yby0/rH2ejjjaUvOC/uUVdz5RaD3Vi4QW7TeaL+274M8VNiyvT90nqWOn269cn7m9rtolqlB+uU9w2pukt2SeG8y01rA5QlLyTYrGzqU4yqmZKup/0gougeO1z/e9+MNIb8L/jlezvw8tFhyu1TrLfSTJva7bH6LqU+1wNy0r30+XqwnQEEGh7AV4U24I28HtD8m6xcUurByPvuQR30NxcdjpAVvLuczavs4XYf+qVTD9+3lk7N6+WUS9l3vMc9tOf/tT1FqcAwrsKZN7VIjdP3H/6UWtN8q4wuMV1kF1pijvgTLrO/vzeFaTYYqMBWOxMrRgZtw5x2akb6ltvvdX9U89l3lUYU89b3vNBLrhTW0UPTBQQqXcp7+yme4+WAqskybsi4Xo+O/74400HaQqQb7vtNrfNKXDxg1q9fNJ7JsoFSOXy919UqQPb5pLfFjqIC6c4K7/95BG3jWt70vbtXSkNZ1XRcEvMm8tYPR62NOmFqkpax7gUd7Dqz1dpuS11jGsTv+xK/1Z7m6i03Lj54tZHNi3ZJ8blr3HeFcGiSb69v90XTfQ+JN0HRfOP5qfPfplJfhv8fFq7r/fzifubxDrpfieNfVTcOpVqj2pYVrqfjqsb4xBAIFsCXEFqQXvoQFcHperK+6uvvnJn9JWNrio0l3RVR2ecdWClrnsrSd7zIm5e77kG04HxhhtuGJwt1NULJV2RqHbynjlxWXoPDsdmrR9OHUCU+0FJus7ebV7mPcNi3oPzseV6t8vEjm+LkWpL71Y/908/9upiV29XV5fjXmcIpu6b1X5+UnDg9W7n2s/rXMF1D+09j2SHH364P0vZv3qRp3ebmvunLprVDbrXs57rhtp7XsAF6boioW1MVto2olc5vFs5XXCld3X5Z8mb81aF/GDZu52wbP28TifcPN7td/aTn/yk7PxJZ0hqnjT/Sub3r6o2Z+Z7VZJXc/PU2rG5cjW+2ttEqbJaMi3pPtHf/qMnLPyyvVtd/UH3V9206xUMzbVv3D6oVBnR/IsKW/Ih6X4yLo9ajEtinWS/k2TelmyPrW2P1lpWsp9ubRksjwACtRfgClILjXUVSQf03vM6LkDSmXH/4CkuSwUT+iHUmXi9PyaadODq9YJlXlfG7gBWV4q8HtLcAbXeWeI9qBoER1pWt9spNffD7ya28D//1pa4QE63Aep2Mp0p1/sxSqWk66wDe926pIOKuNtYdJUmC0lXj7yerlxgovp4vW2Zbpv0nh0x7/kbV0UFTOGkFwfrthfNq6BGP+Leg/mmdyiVS3qXitdLlZ166qnBrDpw0PbiPfPi2kJXMXVVSVdu9M4VbU96f0806d0pXlfk7n1ICpIU6OqgPs5bt5rpfT1Kzd06Gs5ft+op6b1LcUkHngqedOtY0tQS86RlVDK/1wGF81OAqnc8RZP2B61NtXQsV7dqbxPlyksyvSX7RO95MVeETmRFk67U+wGMf6LJ60jEzaZ36USTToTo9tVoKlWGf7ukn390WX1Oup+My6Pa45JaJ9nvJJm3Jdtja9ujpZZJ9tMtLYPlEEAgPQECpBZa+7fZeT2ZueeCSl098ovwHj52gzqI9m+j86edfvrp5r1zxu655x53IK0DXCUFYf5tPf68CrC87r2D6f74av3Vy0714kvvfTnu+adwvnoGRgcVuoKmA/FyKck6Ky/vfUruthfv4fii4E+3cFx00UXligumKxBR0g99tZOCU6+TjKKAxS/DD3h0Jrq5pOdp/FvtFGiVOnhSHrr65PXi5p5708srw0kuehmm2su/Jcl7346bRQFV+Fkn3V6iq1tKem5JSduigmzdsuk/A+cmeP95PSW6oMvrta3JC2P9ecJ/99hjD/eCVG03CobCSWfe9RJSryvxJtt+eL7mhltr3ly+LRnvdefutlEFqOFbD/WiZu89SC3JsmiZWjoWFdTMh2puE80U0aLRLdknKvjQ90JXvXWFN5x0K2z0u6fbmfXCY68XzeDkgL+M9j9x+xN995R08iF8wkrbrF4aXElKup+sJM/oPEn2iS2xTrLfSTJv0u2xGu0RtYt+jrNMup+O5slnBBDImID3A0EqI+CdrXc9AnlnA4vm9A6C3XjvjFjBO3tUNC2uFzvvR6ew3nrruWXUE566idZ7jPQCTb1kUu9hePTRR4N8/F61VI56APOeOSnoZZPelYiglzy9uNBPfi92cd1tq+czb9MrqBvtSpIXqLluj70fgoLeeaTuqXfZZRfXjbO6cva7z/Z7sPKunsVmm3SdvQMMV47q6gUSBfUq5T34WtC7oPQSVo2vpBc730Lvl9p1110Lfi9scZUstw7Rnsy8228K3kGUq4t35dC9m0i9Xm2zzTZBL3XegZQrSr1Aqc7+i2z98r0z2m6dNC36MlZ/nvBf/x1L6ulw//33L1x11VUF7/a84OWx3sFbMLve+eRd5XPlahvS+4/ULbzfA5e6BfeCJTe/em3Stqh6qBtu5aNe1Pz3SK277rpBl+VawO9hLK7reU2/66673Las74ReYOsdIBa82+2C93ZpW1f9SqU4syTmzeXt9/zlHUDFzqLtWw7e1b9gerTtNUE9/vndeWs78AIa994xfS/87716s/KTvy3GfS/91wao6/BwSuJYbvsN5xse9oIGt77eyY7w6ELSbaLa5ZfaxpLuE7Vi6kJd7eodwBa8IL1w2mmnuRfB6kXIftfzeteOn7xOcVzvjt5V8oLaXy+I1usRvKu+rvdC5RXuxU49InqBmCtDvcepe/0DvdcvaD+9xRZbuPHqfdJPcb2sJd1PltuWvWcjXbnqttxP/nZYyT5RyyS1TrLfSTJv0u0xaXtU0zLJftpvF/4igEA2BXQGjVRGoLkASQGOfiy929+a5OAfKHlnEYumebdpuB9svWhSy/r/dKDtPZtSNK/ek7PtttsG82heHSCff/757iBT79LRj7Z3e5Rbzv8BjDsQSxogKUPvNpOC13FEUfl6Caq6XPZTJQdHSdZZ+aoLcb0nw7u9wpWtddSBhv+OkkoCJB38yVTLyi38niC/7v7fcusQd5Ds3b4WvA/Hb0MdJKkr3XAX0nEH+365/ruvtC34behPi/5VQKOX9+qgyy9Pf73bNgve7WfR2V33vDrQ9A/cNK8O4L2z5k3exaMDBB20KRj281YwqveghNdFhZQ6ePUr8fzzzxfWWWedwF556mDUe47OHXz78zX3tzmzSs2by7fcgVClAZLyVyB/7rnnFvRCXO82xYJOYqh99OJgra+CUD+V+l42FyBp2Uody22/fj2if5sLkDRfkm2i2uWX2saS7hO1Lgo+tN17t/AG27dOCigQ8ssKvy9Iy+j9YjpBoxNXak+18fjx44OXsIYDJM3v3f5btK9UcKV9mHfl1C0ffv9cXICkPJLsJ8tty3EBUpJ9ourTEmt9dyvd7ySZN8n2qLonaY9qWibdT6uuJAQQyKZAg6rl/QCQUhYQ+3vvvedu2dBD2bqto7nk/bC5efXsiH/7QHPz1mK8914m1/W4uuFWHVqakqyzytD86h1Qz33o+Z2WJD17oFvQ5OsFSy3JouQy3gth3XNE6oFKXWLHdU9eMoOEE70zr+4Bct1ap2fF/NvqmstGt/zoOQjdqqlnW/xbQ+Lm17x6rkxOcV1Sxy1TapyeYVL34Hr+Sg8u6xmzaqS0zaN11q2Keo4iLqnjDPVsqE4zvJdOxs2SeFytHCupSLW3iUrKrGSeluwT9d3RbW/qJEDPtlSStK2psxrdUtxcm4fzUb10S7Q68lHPiy1JSfeTSctIuk9siXXS/U6t9lHVaI9Svs1ZJt1PlyqDaQgg0DYCBEht406pCCCQUwF1Mz1jxgzXQUu0YxY9P3Tfffe5DjvUIQUJAQQQQAABBPInEH8aNH/rQY0RQACBVAQUIL355puui/ZHHnnEvGckTJ1nqKdBBUe6sqeXSZMQQAABBBBAIJ8CXEHKZ7tRawQQaCMBBUReZxOuG/5oFdT9+hNPPGG6HZWEAAIIIIAAAvkUIEDKZ7tRawQQaGMBr8dJU9feeuZEz59tvPHG5nVO4V523MZVo3gEEEAAAQQQaIUAAVIr8FgUAQQQQAABBBBAAAEE6kuAZ5Dqqz1ZGwQQQAABBBBAAAEEEGiFAAFSK/BYFAEEEEAAAQQQQAABBOpLgACpvtqTtUEAAQQQQAABBBBAAIFWCBAgtQKPRRFAAAEEEEAAAQQQQKC+BAiQ6qs9WRsEEEAAAQQQQAABBBBohQABUivwWBQBBBBAAAEEEEAAAQTqS4AAqb7ak7VBAAEEEEAAAQQQQACBVgg0tmJZFkUAAQQQQCAzAvPnzzf981PPnj39wZr9/frrr4O8O3fubPpHQgABBBDItwABUpn2mzx5ctEcSy21lM2YMcMWLVpUND7vH7p37259+vSx6dOn25w5c/K+OkX1b2xstF69etm0adOKxtfDh6WXXto6dOhgU6ZMqYfVKVoHbY/aFsMHvEUz5PSDDqD79+9vM2fOtPDBdU5Xp6jaDQ0NNmDAAPv888+Lxqf14cILL7Rx48YFxU2aNMl69OgRfG7NQL9+/axr16726aefWqFQcFktXLjQhg0bFmQ7duxYO+WUU4LPeRmQkdZp9uzZealyRfXs2LGjDRw40O1H9NtWb0nr9tlnn9Xbalnv3r3d9/aLL76wBQsWVLx+3bp1s759+1Y8PzMiUEqAW+xK6TANAQQQQAABBBBAAAEE2pUAAVK7am5WFgEEEEAAAQQQQAABBEoJECCV0mEaAggggAACCCCAAAIItCsBAqR21dysLAIIIIAAAggggAACCJQSIEAqpcM0BBBAAAEEEEAAAQQQaFcCBEjtqrlZWQQQQAABBBBAAAEEECglQIBUSodpCCCAAAIIIIAAAggg0K4EeA9Su2puVhYBBBCoX4HRo0fb8OHDgxXs0qVLMFyLAb1n57LLLguyHjFiRDDMAAIIIIBAfgUIkPLbdtQcAQQQQCAksMYaa5j+pZX0Ytzdd989reIoBwEEEEAgJQFusUsJmmIQQAABBBBAAAEEEEAg+wIESNlvI2qIAAIIIIAAAggggAACKQkQIKUETTEIIIAAAggggAACCCCQfYGGgpeyX822q+GcOXOKCu/cubMtWLDA6o1NDxtr3ebPn2+LFi0qWue8f9BzAp06dXLrlvd1idZfD6Fr/ebOnRudlPvPajNti4sXL879uoRXoEOHDqZ2035k4cKF4Ul1Max1mzdvXl2sS3gltH/UfjL6mxCeJ6/DjY2N7jetHvf9Xbt2dd8zfd/qLWnd6nXfr21S65bkWEvbb8+ePeutmVmfNhKgk4Yy8LNmzSqaQ1/a2bNn191Bm3a0OgDQgU29HdzooEYHpdG2LGrYnH5QEFGv66YfOm2L9XZgozbzAyTtS+otaf3q8bum/Yj+qc2SHLTloX27devm1qneDra1b/QDpHrcJvWbXY/r1aNHD/MDpCQnkbTvISFQLQECpDKS0YMznc3WF7bezrT5OxatV3SdyxBlfrIOZtRu9bZeYfh6XDf/u1Zv66Yrfkr1+F3z163e2kzt5V/J1LrVW4CkA22tU721mwJapXpcN7di3n/11mZaL/+7pmOtJOunoIqEQLUEeAapWpLkgwACCCCAAAIIIIAAArkXIEDKfROyAggggAACCCCAAAIIIFAtAQKkakmSDwIIIIAAAggggAACCORegAAp903ICiCAAAIIIIAAAggggEC1BAiQqiVJPggggAACCCCAAAIIIJB7AQKk3DchK4AAAggggAACCCCAAALVEqBPxGpJkg8CCCCAQJsK/Otf/7J///vfQR0OOOAA95LoYESVB9Qd8Y033hjk+o1vfMPWX3/94DMDCCCAAAL5FCBAyme7UWsEEEAAgYjAo48+auPGjQvG7rXXXjUPkE4++eSgvLFjxxIgBRoMIIAAAvkV4Ba7/LYdNUcAAQQQQAABBBBAAIEqCxAgVRmU7BBAAAEEEEAAAQQQQCC/AgRI+W07ao4AAggggAACCCCAAAJVFuAZpCqDkh0CCMQLzJ8/3959913r27evLbPMMvEz1WjsBx98YIsWLbIVV1yx2RIqmafZhZmAQBsIvPnmmyVL7dixo6288sol50lr4ty5c+399993333tA5Kk9957zxoaGmz55ZdPshjzIoAAAi0WIEBqMR0LIoBAEoEPP/zQttpqK/ve975n559/fpJFWz2vHp7/6quv7Mknn3R56WDtsssuc3Xxg7XoPK0utMIM4upS4aLM1s4Fvv3tb1uhUGhWYdCgQfbSSy81Oz3NCQrmdtxxR/fd1z4gSTr44IOtc+fO9tBDDyVZLNG86v1QViqLhAACCBAgsQ0ggEDdC2y00UY2Z86cYD2vvvpq+81vfmP77LNPMC46TzChxgNxdalxkWRfRwLDhw83BfdxqXv37nGjGRcjsNNOO9l3v/vdmCmMQgCB9ihAgNQeW511RqCdCZxyyilFa6z310RTdJ7o9Fp9jqtLrcoi3/oTWHrppW3fffetvxVLeY34HqYMTnEIZFyAACnjDUT1EGivAnrp52233Wa6NWfZZZe1bbbZxrbbbrsmHFOmTLGHH37Y3T6ng8U99tjDXS2aMGGCnXrqqW7+8ePHm25l+9GPfmT33HOPaZrSpZdeamuttZbphaLheTTt7bfftttvv90t88ILL9gjjzxiCxYssC222ML23HNPmz17tt100032j3/8w9Zdd13bbbfdbMiQIVo0SH/+85/t+eeft3feecf69Oljq6yyih122GHWv39/N09zddFEPbN1yy23uNt+VNaaa65pBx54YLBsUEhkoBr1fuWVV+z3v/+9Myhnf8cdd9ikSZNs+vTp7hkR+a+33npBra6//nr33JnctD66lWngwIE2evRoZxnMyEDNBN566y2788477fDDD7cbbrjBPQukKybf+c53XJmffvqp3XzzzTZx4sSgHfV90y2xfrrmmmtMzzQdcsgh/ij3V+3/ySef2E9/+tOi8U888YT97W9/s8mTJ9umm25qeoluOL3xxht29913u6u4+l74SXlpm9HteKVeulvJ9+O6666zYcOG2WabbWZXXHFF7Lb32Wefma7i6lZFbZu/+tWv3PdMy0VTNb5bldRb5Wq/Fv1uRdtE+0bdKnzEEUeY9pd6D9jnn3/u9mmHHnqo9erVK7oKfEYAgQoF6MWuQihmQwCB9AR0EKcDav3t2rWrC5IOOugg+9nPflZUCR0M6EDq7LPPdgdvCkR0gK7PV155ZTDvvffe64Idjfjoo4/siy++cNP++9//uoNFfQjPo8/qtEF56EWgRx99tDsIVJB0zDHHuMBKZ+31UtJZs2a5v7pFTweiftIBiv49/fTT1rt3bxdIXXDBBe5gTQGPUnN10Xrp4FVXtV599VXr0qWLs9AzJwpeSqXW1lvmCl5uvPHGkvYK/LbccktnNGPGDFu4cKELgMaMGWM6MPWTXBV87rzzzu5AVAeIf/jDH9xVj7vuusufjb81FFDnKNqWTzjhBLft/ulPf7LHHnvMlah2HDVqlP32t7+1cDvuv//+Re2og3UFNNGkvNS+4XTJJZe49tXJAz07pNtZjz/++PAs7qSB6qSOG8JJ277Gv/baa+HRRcOVfj90AuLyyy83fW8UBMVte/PmzbPXX3/d5a/117D//Swq1PvQ2u9WpfVu7rsVbRPt72R1xhlnmPaPMtM+5cILL3T7D60vCQEEWibAFaSWubEUAgjUSEBBy+mnn+7OOutgvVu3bq4kHcCde+65tvXWW9sOO+zgxumMuK4M6QrSCius4Mbdd999dtRRR7nhuP9+8pOfuLPFOojQgdzQoUPjZgvGPfPMM6az4ZpPB046q33eeee5A0BdYdJzHgqC9tprL3fV5Re/+IU99dRTpqtHRx55pAuw/Mx0IKMDtT/+8Y/uAKa5upx11lnubP7vfve74KqZznQrcFGQ+Je//MU6dCh9fqsl9fbtFewpyNFVL6U4exmoZ8Bnn33WBgwY4Ob78ssv3dUjXVlTcOgnPfyuNjnuuONcsKeDOJ0N11UJuZFaLqCDdm0v0aQTC9GgRFdCtW2q8wZ9b5T8dlQb9ejRw42bOnWqffOb33RXSMPt6CaW+e+5554znQhQZwd+vbRd7LrrrmWWrHxyku+Hgg1td9r+dKIhuu0tt9xy7kq1rv7qpIxOepRLLfluKc9K6+23Sfi7VapN1Kb6p+fRlE477TS79tpr3RU8nUAiIYBAcoHSv7DJ82MJBBBAoFUCOrjW1QjdsuMfoCtDHXDpoE/TlXTAoIMfnTn1gyON33333Ytu8dK41iRdKfKDKAVDG2ywgctOV5L8h+D9cbo9SGmllVZyByiaJ5y2335799G/ghWe5g/rLLbO1OsANXxLoW5L00Pk//nPf9ytQP78zf1tSb19ewV2pexVpgI13TLnB0cap1sHN9lkE9MBcTg1Nja6g3UdoCrJU7dc+V7heRlOJiBD3T4W/afb1KJpv/32cwfRCoT82zzVjrrSottT/aRp2qaj7ehPL/VXJyt0K144OFtqqaXclddSy1U6Len3o1OnTu5W22puey35biWpd3PfrebaRL0C+sGRHP2giO9XpVsV8yHQVIArSE1NGIMAAm0ooKsYSrrSon/hh6d1u45uK1FSoKA0cuRI9zf8nw6+q9W9cfTdKzrYUwo/b6SDL/3TFRV/mqa/+OKL9vLLL7tnefScjp4TUNKzTM0l3Q6lpGd6ol0O6yqSkgzCz/m4kZH/WlJv315XrvxA1M82bK9x3/rWt9wB9AMPPOBugdSyusVHdYs++6DnmLR8OCmwCvcsGJ7GcOUCuj0u7tY3vTcomuLeA6Z21G1muvKq2zdLtWM0v7jPeo5JV6ii7zqKPoMUt2wl45J+PxSMa9sL3zbX2m2vJd+tJPVO8t2SWbQ+/kkLvl+VbFHMg0C8AAFSvAtjEUCgjQSmTZvmgg0dZCvgCAdIui1LZ4SV/LPbujoRTdGD8ej0JJ+jB3r+sjpL3lzSO5fU8YMCJN0iqINDBXJ6Zuecc85pbjE3Xuuv1LNnz+AKlRvh/acrZfrXXJ38+fS3uXlK1du3V9nRFLbXND30f9JJJ7kgRwdo6kRC66wrCDpIDif/NsnwuLgD+PD0lgzrKpvq4adalOHn7f8Nl+e/U8uflsZfrWPcdyCu7H79+jUZ3Vw7Pvjgg67zjSYLREb4JwX80Qrs/Sur/jj9DV+RDI+PDkfzi05P+v2Iq0trt4uWfre0LpV8r5O2SfT71dr1i5rzGYH2KND0yKI9KrDOCCCQGQEdbOtKy89//nN3ZjT8oLGuvPgBkn82PPqQt1ZEz2W0ZdKLcBUcXXTRRe4ZG/8AVsGDUjjoi9bT7z1Lf9VDVTjp1kMFOLU6APLtdWtguGcx1SFsr4fN9VyHggM9JzZ48GBXTdVLHTCUWr/w+lR7WL386V9aSe3617/+Na3iql6O345rr722u10yHEDpilK4HbXdafuLJj3TE07aJhRcqVe48HaqnvLCyX+GLno1NZpfeBkNt+X3I1qXJJ8rrbffJtHvlsqKtkmS8pkXAQSSCfAMUjIv5kYAgRoLbLjhhq4EdfEdTuohTgftuj9fSQcQesBaz8GEgyjdyqLuhUul5g7OSi2TZJpuq9Mtd3pmyA+OtLy64VUKnyWP1kVBiq5E6MBbzy2Ekzp1WHnllYPbDMPTqjHs20dv2Yraq2c9HTzrmSo/OFL5ClbVC1j4wLoa9SKP2gj47ahnVsK3jKoddUtouB3VE+PHH39cdKvahx9+2KQXOnV5//XXX7uORMK1vv/++8MfgytKKiec1OFJqVSr74cCwGiwVqoeSadVWm+/TeK+W9E2SVoH5kcAgcoFuIJUuRVzIoBAFQR0ZeX000+PzUlXjXSblp6BUfe8OijTO1T0zhT1OBfumUtXktRbk94rpC6k9957b5s5c6brHEFBSdzZbr9Q/0y5emfTrWP++2D86a39q+BNz0Cpu3E9QK1AR2d//cAjHPjE1eWXv/yl6wHvIK8DCj3srofqdWVGeYwdO9Z1AtHaOsYt79urBzs9a6VeveLsR4wY4a7kqRc/3T642mqr2T//+U+3vrpyoGcfwlec4spiXNsL+O2okwy6iqSrss21o96JpB7q1IGHtktdEdL3R9/RcNL3UNuprjDquR99FxTsR59pW2eddVyQpDz0HVDZDz30UJPAKpy3hvXdrsX3Q7fNqdc4XRFV5yh+xyzR8lv6udJ668SK9m18t1oqzXIIVEeAAKk6juSCAAIVCugKg//ekegiP/7xj93zC3p3joKoM888M7jaoltU1FNX+DkPBTa33nqrC57UNa46A1Dvd3//+9/di12j+fuf1V22ltO7XR5//PGqB0h634yuEulAUd3t6lYjHWCqu3C9ZFZlqjtwpbi66KWzOkjSgaDmV9KVJl2R0oFnrZIO4mSvdz8puJO/UtReVxsUwCqQ0i1tCooUUCnA1V8FrTrYVIBFyq6A344KCvbZZ5+idtT2p23Nb0e9IFYdcOjdVbpVVM/26P1gulqk75Gf9PyfetBTYK9tXMGyeshTIBTuMlzPzWj70e2c/ndBwZS2Pz2rVyrV4vuhq7Pa5vXuMa2DThZUO1VSb79N4r5b0Tapdv3IDwEE/ifQ4P2wFf73kaGogN4CHk768dfZ3/AtMuHpeR3Wj50eotUDtvXW840O+vTAv/9wb17bKK7eOvDQgbPeul5vSdujvmu6vUsPNiv4CT/ToO+gvp+6xcu/Tc030MGeeuPSiypLJeWvg464B7lLLVfpNN2ipHrobLT/ILUOvtSNsq526eDST83VRc8kqEMK3U5Yq3r6dQj/1W2L7733Xqx9eD51Wa5e0HRgp/ZRD1qqc70lXeXQFUxdOam3n01doVQPidr/qx1LJf0+6DkhdWVfqsMP5aF3LclrhSXvKGsuX+Wn74ff9Xhz88WNL/X9UP3UcYfqrHUrl7RP0e+E6hHe15RbriXTS9Xbzy/83fLHhf9q3fyeLcPj8z6sq5LaJrX+SW571DbUXAcaeTeh/ukLcAUpfXNKRACBCgUUTOg2oLikoEhXKPTiVvX65Cd18KDnGCp5MWWlPWv5eSf9qzpGOztoLo/m6qIgOPyOmuaWr/b4UvbhsvwuhcPjGM6fgLYxHZSWSzoIrXSbVkBZLjhSea25na2a3w8FVGltz5XUO626lGtzpiPQHgUIkNpjq7POCNSBgM7w6vmea665xr0YceONN3YPjCs40tlt3aJHQgABBBBAAAEEkgrQi11SMeZHAIHMCJx66qnu6tEmm2zinpXQLTJHHXWUe46Bs6+ZaSYqggACCCCAQK4EuIKUq+aisgggEBbQLTGbbbaZ+xcezzACCCCAAAIIINBSAa4gtVSO5RBAAAEEEEAAAQQQQKDuBAiQ6q5JWSEEEEAAAQQQQAABBBBoqQABUkvlWA4BBBBAAAEEEEAAAQTqToAAqe6alBVCAAEEEEAAAQQQQACBlgoQILVUjuUQQAABBBBAAAEEEECg7gQIkOquSVkhBBBAoH0KjBs3zlZcccXg36xZs2oKsXDhwqAslXveeefVtDwyRwABBBBIR4BuvtNxphQEEEAAgRoLKGCZN29ejUspzj5cnsonIYAAAgjkX4ArSPlvQ9YAAQQQQAABBBBAAAEEqiRAgFQlSLJBAAEEEEAAAQQQQACB/AsQIOW/DVkDBBBAAAEEEEAAAQQQqJIAAVKVIMkGAQQQQAABBBBAAAEE8i9AgJT/NmQNEEAAAQQQQAABBBBAoEoCBEhVgiQbBBBAAAEEEEAAAQQQyL8AAVL+25A1QAABBBBAAAEEEEAAgSoJECBVCZJsEEAAAQQQQAABBBBAIP8CBEj5b0PWAAEEEEAAAQQQQAABBKokQIBUJUiyQQABBBBAAAEEEEAAgfwLECDlvw1ZAwQQQAABBBBAAAEEEKiSAAFSlSDJBgEEEEAAAQQQQAABBPIv0Jj/VWANEEAAAQQQMNt7771t4403Dii6du0aDNdioGPHjnbXXXcFWQ8dOjQYZgABBBBAIL8CBEj5bTtqjgACCCAQEhg2bJjpX1qpoaHBNt1007SKoxwEEEAAgZQEuMUuJWiKQQABBBBAAAEEEEAAgewLECBlv42oIQIIIIAAAggggAACCKQkQICUEjTFIIAAAggggAACCCCAQPYFCJCy30bUEAEEEEAAAQQQQAABBFISIEBKCZpiEEAAAQQQQAABBBBAIPsCBEjZbyNqiAACCCCAAAIIIIAAAikJECClBE0xCCCAAAIIIIAAAgggkH0BAqTstxE1RAABBBBAAAEEEEAAgZQECJBSgqYYBBBAAAEEEEAAAQQQyL4AAVL224gaIoAAAggggAACCCCAQEoCBEgpQVMMAggggAACCCCAAAIIZF+AACn7bUQNEUAAAQQQQAABBBBAICWBxpTKoRgEEEAAAQRqKvD000/bM888E5Rx7LHHWufOnYPP1R5YvHixXXjhhUG2o0aNsi233DL4zAACCCCAQD4FCJDy2W7UGgEEEEAgIvDcc8/ZJZdcEow96qijah4ghcsbO3YsAVKgzwACCCCQXwFusctv21FzBBBAAAEEEEAAAQQQqLIAAVKVQckOAQQQQAABBBBAAAEE8itAgJTftqPmCCCAAAIIIIAAAgggUGUBAqQqg5IdAggggAACCCCAAAII5FeAACm/bUfNEUAAAQQQQAABBBBAoMoCBEhVBiU7BBBAAAEEEEAAAQQQyK8AAVJ+246aI4AAAggggAACCCCAQJUFCJCqDEp2CCCAAAIIIIAAAgggkF8BAqT8th01RwABBBBAAAEEEEAAgSoLECBVGZTsEEAAAQQQQAABBBBAIL8CBEj5bTtqjgACCCCAAAIIIIAAAlUWIECqMijZIYAAAggggAACCCCAQH4FGvNbdWqOAAIIIIDA/wRWWmkl22qrrYIRHTt2DIZrMdDQ0FBU3vDhw2tRDHkigAACCKQsQICUMjjFIYAAAgjURmCPPfYw/UsrKQC79dZb0yqOchBAAAEEUhLgFruUoCkGAQQQQAABBBBAAAEEsi9AgJT9NqKGCCCAAAIIIIAAAgggkJIAAVJK0BSDAAIIIIAAAggggAAC2RcgQMp+G1FDBBBAAAEEEEAAAQQQSEmAACklaIpBAAEEEEAAAQQQQACB7AsQIGW/jaghAggggAACCCCAAAIIpCRAgJQSNMUggAACCCCAAAIIIIBA9gUIkLLfRtQQAQQQQAABBBBAAAEEUhIgQEoJmmIQQAABBBBAAAEEEEAg+wIESNlvI2qIAAIIIIAAAggggAACKQkQIKUETTEIIIAAAggggAACCCCQfQECpOy3ETVEAAEEEEAAAQQQQACBlAQaUyqHYhBAAAEEEKipwLx580z//NS7d29/sGZ/v/rqqyDvzp07W9euXYPPDCCAAAII5FOAK0j5bDdqjQACCCAQEbj00ktttdVWC/7NmjUrMkd1Py5cuDAoS+VedNFF1S2A3BBAAAEE2kQgM1eQFi1aZLfccovttttuFj7rN3PmTHvuueea4Gy11VbWqVMnN17zPPPMM6a/o0aNsmHDhhXNX2560cx8QAABBBBAAAEEEEAAgXYrkJkA6YorrrC77rrLtt1226IA6eWXX7ZzzjnHBgwYUNRIG2+8sQuQ3n33XTvkkENspZVWsiFDhtjVV19tZ511lm200UZu/nLTizLlAwIIIIAAAggggAACCLRrgTYPkKZMmeJuS3jppZdiG2LSpEk2cuRIu/zyy2Onn3vuubbzzjvbMcccYw0NDXbjjTfauHHj7I477nCfy02PzZSRCCCAAAIIIIAAAggg0C4F2jxAOu+886xjx452/vnn27HHHtukERQgrbrqqk3Ga8TUqVPt9ddftxNPPNEFQxo3ZswYu+6662zixIk2aNCgktMVeIWT7lcvFArBqMbGxiDfYKQ3oEBM/+o11du6+evj/63HdqvXddN61du6+etT7+vWFt8z39YvuxbG4TLCw+Ey/eG8/Y1bn7ytQ7i+4fUJD4fnyftwva6X2kXrVs/rl/dtr97r3+YB0gknnGDLLLOMvf/++7HWCpC6dOlimu+NN96w1Vdf3Y466ih3O92nn37qlhk8eHCwbP/+/U09CX322WfBuOamRwMkXYn66KOPguW23HJLd8teMGLJwNJLLx0dVTef+/btWzfrEl0RBcz1mup13bp3716vTWY9e/Z0/+pxBdtqe5RpOOm3JTouPL0lw8rTT+qkIZxUVlute7geLR3u06dPSxfN9HLdunUz/avHlOftrVx76HguSZo9e3aS2ZkXgZICbR4ghX9sojVV5woKgrQD2HfffW3TTTe1e+65x4488kjXocPkyZNd8KQAKpx69epl06ZNM3X8oGnNTQ8vo+ENNtjAVlhhhWC0Aqhwl7GaoI4hFixYEMxTLwMdOnQI1m3x4sX1slpuPXQGSlcpowcz9bCS2h61fvPnz6+H1SlaB13B1Xc4fFW3aIacflB76SSOtketX72lttxHRr/j2n/7nfm01lnbo/Yj4d+EaHn6HJ7e2jLTWl7rpe9Zve375afff33Pom2Vlm0ty9F+pB73/doe9X3TuiXZ/9fj9lvL7Ye8Swu0eYBUqno6G3f33XfbUkst5Q4oNO8aa6xhBx54oP3tb38zXe2I2+lpZ6gzz/phLDU9WrZu94smBWHhpLrMmDGj7g5s5KWzh7rNcM6cOeFVzv2wdrR+0Jz7lYmsgK5mKrj98ssvI1Py/1Hbo7bFejsA0EGNzoxq3b7++uv8N1RoDRT8qUOdttoeo/sunSir1vbTr18/FyApT/+gLfr7Mnfu3DZb91AzJB7s0aOHW6d6OwOvA+2BAwe6bWD69OmJXbK+gNatrb5rtbRRT8b63dY7xpKckK7Xq4S1tCbv5gUy/R4k/djq6pEOKPyk3up0UKjART/ECoaiO3V9qZZddtmy0/08+YsAAggggAACCCCAAAIISCDTAdJ7773nrhZ9+OGHQWspMPr888/dM0hDhw51Zxlee+21YLo6bdBlVj13VG56sBADCCCAAAIIIIAAAggggIAnkOkAaQXveaCuXbvaVVdd5Z4pUnCk9yXpVoett97a3RK23Xbb2fjx492tKrq9QT3Y7bDDDu4qk27RKTWdLQABBBBAAAEEEEAAAQQQCAtkOkBSRdX1t172uttuu7mOGj7++GO77LLL3DNGmn7EEUe4W/B22mkn23XXXd0VpaOPPlqTXCo33Z+PvwgggAACCCCAAAIIIIBAZjppWH755e2pp55q0iKrrbaa3XbbbfbFF1+4Thei3ZDqatLFF1/sHubTA5l62DScyk0Pz8swAggggAACCCCAAAIItG+BzARI5ZpBHTKUSur1pFQqN73UskxDAAEEEEAAAQQQQACB9iGQmwCpfTQHa4kAAggg0FKBgw8+2HbZZZdg8Vp3+6uuiCdMmBCUp9dAkBBAAAEE8i9AgJT/NmQNEEAAAQQ8Ab1fSv/STCNGjEizOMpCAAEEEEhBIPOdNKRgQBEIIIAAAggggAACCCCAgBMgQGJDQAABBBBAAAEEEEAAAQSWCBAgsSkggAACCCCAAAIIIIAAAksECJDYFBBAAAEEEEAAAQQQQACBJQIESGwKCCCAAAIIIIAAAggggMASAQIkNgUEEEAAAQQQQAABBBBAYIkAARKbAgIIIIAAAggggAACCCCwRIAAiU0BAQQQQAABBBBAAAEEEFgiQIDEpoAAAggggAACCCCAAAIILBEgQGJTQAABBBBAAAEEEEAAAQSWCBAgsSkggAACCCCAAAIIIIAAAksECJDYFBBAAAEEEEAAAQQQQACBJQKNSCCAAAIIIFAPAg8//LA98sgjwaqcffbZ1qVLl+BztQcWLVpkv/jFL4Jst9pqKxs9enTwmQEEEEAAgXwKECDls92oNQIIIIBAROCVV16x2267LRh7xhln1DRAKhQKReX17duXACnQZwABBBDIrwC32OW37ag5AggggAACCCCAAAIIVFmAAKnKoGSHAAIIIIAAAggggAAC+RUgQMpv21FzBBBAAAEEEEAAAQQQqLIAAVKVQckOAQQQQAABBBBAAAEE8itAgJTftqPmCCCAAAIIIIAAAgggUGUBAqQqg5IdAggggAACCCCAAAII5FeAACm/bUfNEUAAAQQQQAABBBBAoMoCBEhVBiU7BBBAAAEEEEAAAQQQyK8AAVJ+246aI4AAAggggAACCCCAQJUFCJCqDEp2CCCAAAIIIIAAAgggkF8BAqT8th01RwABBBBAAAEEEEAAgSoLECBVGZTsEEAAAQQQQAABBBBAIL8CjfmtOjVHAAEEEEDgfwJrrrmm7b333sGIxsba/sQ1NDQUlbf22msHZTOAAAIIIJBfgdr+euTXhZojgAACCORMYMcddzT9Syt17NjRxo0bl1ZxlIMAAgggkJIAt9ilBE0xCCCAAAIIIIAAAgggkH0BAqTstxE1RAABBBBAAAEEEEAAgZQECJBSgqYYBBBAAAEEEEAAAQQQyL4AAVL224gaIoAAAggggAACCCCAQEoCBEgpQVMMAggggAACCCCAAAIIZF+AACn7bUQNEUAAAQQQQAABBBBAICUBAqSUoCkGAQQQQAABBBAsrjFNAABAAElEQVRAAAEEsi9AgJT9NqKGCCCAAAIIIIAAAgggkJIAAVJK0BSDAAIIIIAAAggggAAC2RcgQMp+G1FDBBBAAAEEEEAAAQQQSEmAACklaIpBAAEEEEAAAQQQQACB7AsQIGW/jaghAggggAACCCCAAAIIpCTQmFI5FIMAAggggEBNBaZOnWrTpk0Lyhg+fLg1NDQEn2sx8PbbbwfZ9uvXz/r37x98ZgABBBBAIJ8CBEj5bDdqjQACCCAQEbjhhhts3LhxwdhJkyZZjx49gs/VHli4cKFtvvnmQbZjx461U045JfjMAAIIIIBAPgW4xS6f7UatEUAAAQQQQAABBBBAoAYCBEg1QCVLBBBAAAEEEEAAAQQQyKcAAVI+241aI4AAAggggAACCCCAQA0ECJBqgEqWCCCAAAIIIIAAAgggkE8BAqR8thu1RgABBBBAAAEEEEAAgRoIECDVAJUsEUAAAQQQQAABBBBAIJ8CBEj5bDdqjQACCCCAAAIIIIAAAjUQIECqASpZIoAAAggggAACCCCAQD4FCJDy2W7UGgEEEEAAAQQQQAABBGogQIBUA1SyRAABBBBAAAEEEEAAgXwKECDls92oNQIIIIAAAggggAACCNRAgACpBqhkiQACCCCAAAIIIIAAAvkUIEDKZ7tRawQQQAABBBBAAAEEEKiBQGMN8iRLBBBAAAEEUhc46qij7NBDDw3K7dGjRzBci4HGxkZ77bXXgqy7du0aDDOAAAIIIJBfAQKk/LYdNUcAAQQQCAl069bN9C/N1K9fvzSLoywEEEAAgRQEuMUuBWSKQAABBBBAAAEEEEAAgXwIECDlo52oJQIIIIAAAggggAACCKQgQICUAjJFIIAAAggggAACCCCAQD4ECJDy0U7UEgEEEEAAAQQQQAABBFIQIEBKAZkiEEAAAQQQQAABBBBAIB8CBEj5aCdqiQACCCCAAAIIIIAAAikIECClgEwRCCCAAAIIIIAAAgggkA8BAqR8tBO1RAABBBBAAAEEEEAAgRQECJBSQKYIBBBAAAEEEEAAAQQQyIcAAVI+2olaIoAAAggggAACCCCAQAoCBEgpIFMEAggggAACCCCAAAII5EOAACkf7UQtEUAAAQQQQAABBBBAIAWBxhTKoAgEEEAAAQRqLnDvvffaAw88EJRzzTXXWNeuXYPP1R5YtGiR/eAHPwiyHT16tO29997BZwYQQAABBPIpQICUz3aj1ggggAACEYF33nnHHn300WCsAphapkKhUFTeiBEjalkceSOAAAIIpCTALXYpQVMMAggggAACCCCAAAIIZF+AACn7bUQNEUAAAQQQQAABBBBAICUBAqSUoCkGAQQQQAABBBBAAAEEsi9AgJT9NqKGCCCAAAIIIIAAAgggkJIAAVJK0BSDAAIIIIAAAggggAAC2RcgQMp+G1FDBBBAAAEEEEAAAQQQSEmAACklaIpBAAEEEEAAAQQQQACB7AsQIGW/jaghAggggAACCCCAAAIIpCRAgJQSNMUggAACCCCAAAIIIIBA9gUIkLLfRtQQAQQQQAABBBBAAAEEUhIgQEoJmmIQQAABBBBAAAEEEEAg+wIESNlvI2qIAAIIIIAAAggggAACKQk0plQOxSCAAAIIIFBTgVGjRtnRRx8dlNGpU6dguBYDHTp0KCpvo402qkUx5IkAAgggkLIAAVLK4BSHAAIIIFAbgc0339z0L62kAOnEE09MqzjKQQABBBBISYBb7FKCphgEEEAAAQQQQAABBBDIvgABUvbbiBoigAACCCCAAAIIIIBASgIESClBUwwCCCCAAAIIIIAAAghkX4AAKfttRA0RQAABBBBAAAEEEEAgJQE6aSgD3bt376I5GhsbrWfPnlYoFIrG5/2D1kupW7duVuuen9K20oPUWr9oW6Zdj1qUp3VraGioy3XTdqj169q1ay3o2izPjh07urK7dOni1q/NKlKjgtVm9fhd8/eRvXr1qpFc22Wr75p+0/x1bLuaVLdk7RuVtH71uE3W676/c+fOrt169OhhixcvdsOV/Jdk3kryY572LUCAVKb958+fXzSHvrgLFixI9KUtyiCjH/wfkoULF1p0nTNa5YqrpQNS/fDX23oJwA8e6nHd1Gb6rmmbrKek9VK7LVq0qG63yXrcHv2DNm2T9XaCTEGt1qne2k3rpVSv3zWd0Ky3NlN76TdbQa2+a2q7SpPf3pXOz3wIlBIgQCql402bO3du0Rzdu3e3efPmJfrSFmWQ0Q/+jkU7pOg6Z7TKFVdLB6Q6uKm39RKAzmYruK3HddMVFv3419sBgH+grcCv3tpN26IOtOttvfRd86+ua93qLUDSAWk9tpt/tVZXFupxm9RVsXpcL38fqX2/jkkqTfqOkhColgDPIFVLknwQQAABBBBAAAEEEEAg9wIESLlvQlYAAQQQQAABBBBAAAEEqiVAgFQtSfJBAAEEEEAAAQQQQACB3AsQIOW+CVkBBBBAAAEEEEAAAQQQqJYAAVK1JMkHAQQQQAABBBBAAAEEci9AL3a5b0JWAAEEEEBAAh9++KF99NFHAcaGG27ougwORlR5QD2/Pf/880GugwcPtuWXXz74zAACCCCAQD4FCJDy2W7UGgEEEEAgInDHHXfYuHHjgrGTJk0yvWyyVknvaNljjz2C7MeOHWunnHJK8JkBBBBAAIF8CnCLXT7bjVojgAACCCCAAAIIIIBADQQIkGqASpYIIIAAAggggAACCCCQTwECpHy2G7VGAAEEEEAAAQQQQACBGggQINUAlSwRQAABBBBAAAEEEEAgnwIESPlsN2qNAAIIIIAAAggggAACNRAgQKoBKlkigAACCCCAAAIIIIBAPgUIkPLZbtQaAQQQQAABBBBAAAEEaiBAgFQDVLJEAAEEEEAAAQQQQACBfAoQIOWz3ag1AggggAACCCCAAAII1ECAAKkGqGSJAAIIIIAAAggggAAC+RQgQMpnu1FrBBBAAAEEEEAAAQQQqIEAAVINUMkSAQQQQAABBBBAAAEE8inQmM9qU2sEEEAAAQSKBTp06GCNjen+rIXL69ixY3GF+IQAAgggkEuBdH9JcklEpRFAAAEE8iBw3HHHmf6llRQcffDBB2kVRzkIIIAAAikJcItdStAUgwACCCCAAAIIIIAAAtkXIEDKfhtRQwQQQAABBBBAAAEEEEhJgAApJWiKQQABBBBAAAEEEEAAgewLECBlv42oIQIIIIAAAggggAACCKQkQICUEjTFIIAAAggggAACCCCAQPYFCJCy30bUEAEEEEAAAQQQQAABBFISIEBKCZpiEEAAAQQQQAABBBBAIPsCBEjZbyNqiAACCCCAAAIIIIAAAikJECClBE0xCCCAAAIIIIAAAgggkH0BAqTstxE1RAABBBBAAAEEEEAAgZQECJBSgqYYBBBAAAEEEEAAAQQQyL4AAVL224gaIoAAAggggAACCCCAQEoCBEgpQVMMAggggAACCCCAAAIIZF+gMftVpIYIIIAAAgiUF7j55pvt1ltvDWa87777rHv37sHnag8sWrTIRo8eHWS755572iGHHBJ8ZgABBBBAIJ8CBEj5bDdqjQACCCAQEfj000/tlVdeCcYWCoVguBYDyj9c3qabblqLYsgTAQQQQCBlAW6xSxmc4hBAAAEEEEAAAQQQQCC7AgRI2W0baoYAAggggAACCCCAAAIpCxAgpQxOcQgggAACCCCAAAIIIJBdAQKk7LYNNUMAAQQQQAABBBBAAIGUBQiQUganOAQQQAABBBBAAAEEEMiuAAFSdtuGmiGAAAIIIIAAAggggEDKAgRIKYNTHAIIIIAAAggggAACCGRXgAApu21DzRBAAAEEEEAAAQQQQCBlAQKklMEpDgEEEEAAAQQQQAABBLIrQICU3bahZggggAACCCCAAAIIIJCyAAFSyuAUhwACCCCAAAIIIIAAAtkVIEDKbttQMwQQQAABBBBAAAEEEEhZoDHl8igOAQQQQKAFAr1OOL4FS8UvMvO8i+In5Hzs1ltvbf369QvWonPnzsFwLQY6dOhgZ555ZpD1WmutFQwzgAACCCCQXwECpPy2HTVHAAEEEAgJrLfeeqZ/aSUFSIceemhaxVEOAggggEBKAtxilxI0xSCAAAIIIIAAAggggED2BQiQst9G1BABBBBAAAEEEEAAAQRSEiBASgmaYhBAAAEEEEAAAQQQQCD7AgRI2W8jaogAAggggAACCCCAAAIpCRAgpQRNMQgggAACCCCAAAIIIJB9AQKk7LcRNUQAAQQQQAABBBBAAIGUBAiQUoKmGAQQQAABBBBAAAEEEMi+AAFS9tuIGiKAAAIIIIAAAggggEBKAgRIKUFTDAIIIIAAAggggAACCGRfgAAp+21EDRFAAAEEEEAAAQQQQCAlAQKklKApBgEEEEAAAQQQQAABBLIvQICU/TaihggggAACCCCAAAIIIJCSQGNK5VAMAggggAACNRV44403TP/8NGbMGGtsrN3PXKFQsAceeMAvzlZZZRUbOXJk8JkBBBBAAIF8CtTulyOfHtQaAQQQQCCnAn/84x9t3LhxQe233XbbmgZIixYtsrFjxwblaZgAKeBgAAEEEMitAAFSbpuOiiOAAAII1Fqg1wnHuyIWev9/7f3rGSpw4eLFoU9mnZ943Hp9Pb1oXPjDzPMuCn9kGAEEEEAgowI8g5TRhqFaCCCAAAIIIIAAAgggkL4AAVL65pSIAAIIIIAAAggggAACGRUgQMpow1AtBBBAAAEEEEAAAQQQSF+AZ5DSN6dEBBBoRwL+MyzhVdazLA3ev17hkQwjgAACCCCAQCYEuIKUiWagEggggAACCCCAAAIIIJAFAQKkLLQCdUAAAQQQQAABBBBAAIFMCBAgZaIZqAQCCCCAAAIIIIAAAghkQYAAKQutQB0QQAABBBBAAAEEEEAgEwIESJloBiqBAAIIIIAAAggggAACWRAgQMpCK1AHBBBAAAEEEEAAAQQQyIQAAVImmoFKIIAAAggggAACCCCAQBYEeA9SFlqBOiCAAAIItFqgd+/eNmTIkCCfhga9baq2aWiP7kEBfTp3DoYZQAABBBDIrwABUn7bjpojgAACCIQEDj/8cNO/tFJjhw72+h67plUc5SCAAAIIpCTALXYpQVMMAggggAACCCCAAAIIZF+AACn7bUQNEUAAAQQQQAABBBBAICUBAqSUoCkGAQQQQAABBBBAAAEEsi9AgJT9NqKGCCCAAAIIIIAAAgggkJIAAVJK0BSDAAIIIIAAAggggAAC2RcgQMp+G1FDBBBAAAEEEEAAAQQQSEmAACklaIpBAAEEEEAAAQQQQACB7AsQIGW/jaghAggggAACCCCAAAIIpCRAgJQSNMUggAACCCCAAAIIIIBA9gUIkLLfRtQQAQQQQAABBBBAAAEEUhIgQEoJmmIQQAABBBBAAAEEEEAg+wIESNlvI2qIAAIIIIAAAggggAACKQkQIKUETTEIIIAAAggggAACCCCQfYHG7FeRGiKAAAIIIFBe4KqrrrJrrrkmmPHpp5+27t27B5+rPbBw8WJb494Hgmx/uNoq9rNvrBl8ZgABBBBAIJ8CBEj5bDdqjQACCCAQEZg5c6Z9+umnwdhCoRAM12pg8pw5QdZfzV8QDDOAAAIIIJBfgcwESIsWLbJbbrnFdtttN+vdu3eRqH70nnnmGdPfUaNG2bBhw6o6vSgzPiCAAAIIIIAAAggggEC7FcjMM0hXXHGFXXfddfb1118XNca7775ru+yyi91zzz326quv2sEHH2zPP/98ME9rpwcZMYAAAggggAACCCCAAALtXqDNryBNmTLFLrroInvppZdiG+Pcc8+1nXfe2Y455hhraGiwG2+80caNG2d33HGH+9za6bGFMhIBBBBAAAEEEEAAAQTapUCbX0E677zzTPeJn3/++U0aYOrUqfb666+7K0gKjpTGjBljn3zyiU2cONFaO71JgYxAAAEEEEAAAQQQQACBdi3Q5leQTjjhBFtmmWXs/fffb9IQ/sO2gwcPDqb179/fOnfubJ999lkwrqXTR44cGeShge985zv20UcfBeO22GILu/TSS4PP/sDSSy/tD9bd3z59+pj+1WMaNGhQPa6WW6d6Xbdu3brlvs1mZXANar291Dr/5kh79uxZNEm/LdFxRTNU8KGa7ddWLhWsppsl+vxvpctlfb6uXbta1u1baliv6yUPHe8lSbNnz04yO/MiUFKgzQMk/YA1lyZPnmxdunRx/8Lz9OrVy6ZNm2bq2KE108N5anjo0KHW2Pg/koEDB9rChQuLZuvYsaMrt2hkHXzo0KGD+euWRs9PaZLp6qPWT9tLvSV/e41up/WwntoeF3vdKNfb9piFtqnl9qJtspb5l/LT9hJOsw4/xBo6dQqPatPhtnIpt9LaPypF/cotl4fpnbz21z6kXvf/Wd2mWrNt1PPxSGtcWDZdgf9FA+mWW1Fp2rHFffm1o9O7LVo7PVqJ8Psz/GkK0sJpqaWWshkzZtTdzlaeunKkTjLmhLqtDa97Xod1wOYH1Xldh+bqrauZ+jH54osvmpslt+O1PWpbnD9/fm7XQRXvlcHa12p70cmIAQMGtNn2mPUzyLVyb+0m1qNHDxdEZN0v6XrqJItOdM6bN8+mT5+edPHMz691y+o21Ro8XcnUNqk2W7Cg8q7z6+GOg9a4sWx1BTIdIOmHVsGQdtrhl/199dVXtuyyy7qrPa2ZXl1KckMAAQQQQAABBBBAAIG8C7R5Jw2lAP1b3l577bVgNnXaoNsA9NxRa6cHmTKAAAIIIIAAAggggAACCHgCmQ6QdIvNdtttZ+PHj3e3fs2dO9e9K2mHHXYw3VrU2ulsAQgggAACCCCAAAIIIIBAWCDTAZIqesQRR7he63baaSfbdddd3W11Rx99dLAOrZ0eZMQAAggggAACCCCAAAIItHuBzDyDtPzyy9tTTz3VpEH69etnF198sem5Iz1wqQf3wqm108N5MYwAAggggAACCCCAAALtWyAzAVK5Zij3fobWTi9XPtMRQAABBLItsPPOO9tqq63mKtnt1putq3dSrZapo9dr302bbxoUsUqfLPZZGFSPAQQQQACBCgVyEyBVuD7MhgACCCDQTgVWXXVV0z+lXs88UXMFdWu+2wrDal4OBSCAAAIIpCtAgJSuN6UhgAACCLRTgV4nHF+1NZ953kVVy4uMEEAAAQSKBTLfSUNxdfmEAAIIIIAAAggggAACCNROgACpdrbkjAACCCCAAAIIIIAAAjkTIEDKWYNRXQQQQAABBBBAAAEEEKidAAFS7WzJGQEEEEAAAQQQQAABBHImQICUswajuggggAACCCCAAAIIIFA7AQKk2tmSMwIIIIAAAggggAACCORMgAApZw1GdRFAAAEEEEAAAQQQQKB2AgRItbMlZwQQQAABBBBAAAEEEMiZAAFSzhqM6iKAAAIIIIAAAggggEDtBAiQamdLzggggAACCCCAAAIIIJAzgcac1ZfqIoAAAggggAACCCDQ5gIzZsyw6dOnl6zHgAEDrEePHiXnSWPivHnz7NNPP7WW1OeTTz6xDh062KBBg9KoaibKIEDKRDNQCQQQQACB1gq8+OKL9tJLL7lsuk58ww5bbYR18n7Ua5UWFwp25etvBtmv238p22SZgcFnBhBAoL4FLrnkEjvttNNKruQtt9xi+++/f8l50pio/eOmm25qv/vd7+zAAw9MVOT222/vgrznn38+0XJ5npkAKc+tR90RQAABBAKBxx9/3MaNGxd8PnCV4TUPkE548f8DMhX6k5GrEyAF+gwg0H4EjjnmGFt55ZVjV3iDDTaIHc/IbAsQIGW7fagdAggggAACCCCAQIYF9thjD9tss80yXEOqllSAACmpGPMjgAACCCCAAAIIIJBA4Morr7SBAwfacsstZ5dffrmtvvrqdsghh9jSSy9tn3/+ud100032xhtv2LRp02z48OE2ZsyYoqBr4sSJduedd9r3vve9oqtVH374oV133XW266672rrrrhvU6KmnnrI//elPNnnyZNt6661tpZVWCqZpIGl+RQt7HxYuXGjjx4+3F154wWbPnu3K/uEPf2h9+vQJZr3mmmusX79+ttVWW7lb+3Sb37LLLmt77rmnbbLJJsF8/sB//vMfe/jhh92t0htvvLHtsssuNmzYMH+y+6t57rrrLnv99dfdNDl9+9vfLpqnGh9qd3N2NWpHHggggAACCCCAAAII5FxAwcJll13mAh89l3TyySfb/Pnz7ZlnnrGRI0fa6aefbu+//75NmTLFfv3rX9sWW2xhN9xwQ7DWCgjOPPNMe/vtt4NxGvjggw/c+H//+9/B+AsvvNA233xze+ihh+zrr7+2n/70p6bbAMMpSX7h5TSsgE4BzGGHHWZPPvmkC5DOPvtsW3vttV3g5c+vwO3SSy91zz6p7uok4tprr3V1u/fee/3Z3N8HHnjABVkKJBV8nXPOObb88svbPffcE8x39dVX2/rrr28XXHCBs3viiSdc8Pezn/0smKdaA1xBqpYk+SCAAAIIIIAAAgi0O4Hrr7/eHnnkkSbrvfPOO7sDen/ChAkTXLBy1llnucBmyJAhtt9++9ncuXNd4LPMMsu4WT/66CNbccUV3ZWmgw8+2F+8or+6cnTiiSfa2LFjXUDW0NDgriKpg4ZqpRNOOMF0Nei+++6z3XbbzWWrQG2jjTayI444wgVNfllPP/20KYA544wzrFu3bjZp0iRbb731XBCoWxOVXnvtNdt3331d8KirQ507d7ZFixbZt771Lfv5z39uO+20k+lK2Y9//GM3TvOoNz6lU045xRSc7bDDDi5YciOr8B8BUhUQyQIBBBBAAAEEEECgfQrceOONsSs+dOjQogBJXWXrYL5r16626qqrWsHrCfOkk05yn/3gSBlpuVGjRrkgKjbjEiPvv/9+69ixo/3qV78yBUdKuq1NQY2u+LQ2qVtz3VqnK0h+cKQ8dSucgj1d/XrllVdsrbXWckV16dLFFBAq6FFaZZVV3JWmd999133Wf7qtbs6cOaYrX/58WoerrrrKnn32Wfvqq6/siiuucFeNtB5+cKRljzvuOHdFSbct6lbCaiUCpGpJkg8CCCCAAAIIIIBAuxPQ1SNd7Ygm/2DfH6/njxQc+UkBjLrQ1nNHuuVMzwW9+eab9q9//csNh4Mmf5lyf19++WUXYC211FJFs37zm98s+tzSD7oCpMBOQctee+1VlI2ufCm99dZbQYCkdY466FksraufdHug3hWl4Cmc1llnHdM/JbnIS7cq6ta9cOrevbsrMzyutcMESK0VZHkEEEAAAQQQQACBdiugqyS6faxc6t+/f5NZbr75ZvvRj35ks2bNshVWWME9h6P3FOk2Mj/gaLJQaIRuRQunqVOnWs+ePcOj3HA0YGoyw5IR0fyi833xxRdulNZXV8TCSVeR9K9Xr17BaAUv0aRAR0GWnz7++OPYOvvT9VflyrmxsWnootvr4tY5vHzS4aalJM2B+RFAAAEEEEAAAQQQQCCRgDpk0DNGukqiK0jhHtvUq104iNAtZ0oLFiwoKkPP/oST8tJtdtH0ySefFI2qNL+ihbwPfm94I0aMsFtvvbVosoIrP9+iCWU+6HkrPZ+ldevUqVMwtzp1UOcNfi986jFPnT2o7HBSpw5xgVN4nqTDxaFf0qWZHwEEEEAAAQQQQAABBBIL6FY6HdzrWZ5wcKTb2HSbmqb5qW/fvm5Qvc+F02OPPRb+6J5d0nNCf/jDH4rGq4vwcKo0v/AyGlaANGjQIPv973/vbrMLT99///1N+ao3viRJzzMtXrzY7r777qLFLrnkEtfpg66k+bcwKnAMJz3vpKtH0V76wvO0ZJgrSC1RYxkEEEAAAQQQQAABBFohoO69dcVEveDpHUZrrLGGPffcc/aLX/zC3b42c+ZMdxVJt6RtuOGGLvhQJw96t5DelaRe5B588MGiGuiKlK7s6K+62FbX27qipO61w6nS/MLLaFj1VWcKeh+T3r102mmnmW6ju+OOO9x7mk499VTXPXd0uVKfdUvhuHHj7KijjnIdMaiXuz//+c+uYwb1vqeX8CpAUkcNF198sXt31DbbbGN63kodQChAUm921UwESNXUJC8EEEAAAQQQQAABBCoQUAcGCmZ0pUQvPNVVFHVgoIN+3a6mZ5PUTbYCBAUheifQQQcdFPRGp3cCPfrooy4I8otThwi6uqOX0B566KGud7jBgwebetoLd6pQaX5+vuG/BxxwgOt44dhjj7Utt9zSTdItbgrKWhKoaNm//e1vdvjhh7t6y0Fp9913N70XSbft6Z/ee3TkkUfa8ccfH1xdU8cOt99+uwua3EJV+q/Bu7/xf09JVSnTespGbyAOJz3kNmPGDLfhhsfnfVhfFL39WJdl1dViPSV98fTAoHqJqbekN3DrIUndx1xvSdujtkW9SC/PqdcJx2eu+jPPu6gmddJZTnW/qpcItkXSWU2dhfTT5H33tJ6h+9n98dX6u9D7Ee93yx1Bdj8Zubr96pv/e5N9MKEGA9VsQ/UepUOB2bNn16CmbZelDqh0sKn9iH7b6i1p3T777LN6Wy3r3bu369FMD+VHn7cptbLqNMC/bazUfFmdpt9xra+6+C6X3nvvPXfVJNzdddwy2vb17JGuNpVKleYXl4eeE1LHECt4HUxoX9LapDq/8847zkHHAXFJxwV6Ya6mK/jTb0+1E1eQqi1KfggggAACbSKgd334XcJ29F4q2LEGP5rhFdNP8jdDvVIN7dG0t6bw/AwjgAACzQkk6dJbwUglSUFjueBI+VSaX1yZeh5J/6qVVGfdelgq6SqZbkesZUocIOnhqFdffdW9lCmuYrrPUQ9KvfHGGxV1eRiXB+MQQAABBBBIKqDbPvRPKY0rdx29q7cTRm+ftJrMjwACCCCQcYGKAiTdLuHf5qIeN9TNnvosjybNo4eq1OXg3LlzCZCiQHxGAAEEEEAAAQQQQACBTAtUFCCNHz/e9agRXpNS90jqFgf1sEFCAAEEEEAAAQQQQAABBPIkUFGApF4q1Be7Hh57/PHHXf/m6kUjmvQwvAKjPffcMzqJzwgggAACCCCAAAIIIIBA5gUqCpDU5/lJJ53kVma11VaziRMnun7PM792VBABBBBAAAEEEEAAAQQQSCBQUYAUzm/vvfcOf2QYAQQQQAABBBBAAAEEEKgbgcQBktb83nvvtV//+tfuVjv1Vx73KqV6fOdM3bQ6K4IAAggggAACCCCAAAKxAokDpGeffdZ0FUn9lK+99truJWy1eEFTbG0ZiQACCCCAAAIIIIAAAgjUUCBxgHT33Xdb165d7aWXXrJVVlmlhlUjawQQQAABBBBAAAEEsicwffr01CvVt2/f1MtsrwUmDpAmT55s66+/PsFRe91iWG8EEEAAAQQQQAABazzmyNQUFl5yeWplUZBZh6QICo509Wj27NlJF2V+BBBAAAEEEEAAAQQQQCDTAokDJL3/aPDgwXb66afb/PnzM71yVA4BBBBAAAEEEEAAAQQQSCKQ+BY7vSh26aWXtgsvvNAuvfRSGzp0qPXo0aNJmS+//HKTcYxAAAEEEEAAAQQQQAABBLIskDhAUvfd8+bNsw022CDL60XdEEAAAQQQQAABBBBAAIHEAokDpMMOO8z0j4QAAggggECWBC666CK7+OKL/79KhYJ9vM93rWenTjWr4sLFi63/rXcG+f9k5Op2xnrrBJ8ZQAABBBDIp0DiACmfq0mtEUAAAQTqXUAvLV/sBS1ppsVemX4KD/vj+IsAAgggkD+BxAHSb37zG7vkkkvKrun7779fdh5mQAABBBBAAAEEEEAAAQSyJJA4QBowYICNGDGiaB0WLVpkH3zwgSko6tevn+2///5F0/mAAAIIIIAAAggggAAC6Qi8+eab9uCDD9qgQYNszJgx1qdPn3QKrpNSEgdI3//+903/4tI777xj22+/vS277LJxkxmHAAIIIIBAswK9Tji+2WmVTOjy71cqmY15EEAAgboWOPfcc+3UU0+1PfbYw3Rsrs+PPfaYDRw4sK7Xu5orl/g9SKUKX2mllezkk0+2s846y3RViYQAAggggAACCCCAAALpCLz11lt2xhlnuIDozjvvtGeffda6detmekSGVLlAVQMkFbvccsvZzJkzbdKkSZXXgjkRQAABBBBAAAEEEECgVQIPP/yw6YLF5ptv7vLp5PXkqTu/br/99lbl294WrmqANHv2bLviiiusY8eONmzYsPZmyfoigAACCCCAAAIIINBmAu+++64NHz68qHwFTB9//HHqvXwWVSJnHxI/g3Tttdfa9ddf32Q1FyxY4DppmDp1qh100EHWvXv3JvMwAgEEEEAAAQQQQAABBGojoA7T+vfvX5S5OlDToy9ffPEFzyEVyTT/IXGANH/+fJs1a1aTHHXVaM0113SdNBxzzDFNpjMCAQQQQAABBBBAAAEEaifQuXNn00WLcNKxu1KvXr3CoxkuIZA4QDryyCNN/0gIIIAAAggggAACCCCQHYHBgwfbxIkTiyr05Zdf2jLLLOM6ayiawIdmBar6DFKzpTABAQQQQAABBBBAAAEEaiqgu7lefPFFW7hwYVDO888/3+S5pGAiA7ECLQ6QBP/oo4/a5ZdfbhdffLFNmDDBpk+fHlsIIxFAAAEEEEAAAQQQQKC2Avvss48r4Pzzz3edMrz66qs2fvx4O+mkk2pbcJ3lnvgWO63/P//5T9cRg9Cj6ZxzzrETTzwxOprPCCCAAAIIIIAAAgggUEMBvfPo7rvvtv32288UJPXo0cM9GjN69Ogallp/WScOkHSVaJdddnGX7vTSqVGjRlnPnj3tvffesxtuuMFFqF27drVjjz22/rRYIwQQQACBzAp8b+XhtuWyg4L6dfM6D6pl6tjQYA9tv01QxBB6bw0sGEAAgbYT2HLLLe2TTz6xDz/80IYMGWIdOrT4hrG2W4k2LjlxgKRuvhUkvfTSSzZixIig+muttZbtvPPOdvjhh9uVV15JgBTIMIAAAgggkIbAsJ49TP/SSg1egPStZQamVRzlIIAAAokElltuuUTzM/P/BBIHSC+//LIpMg0HR//Lzuywww6za665xkWu6kmDhAACCCCAAALVFeh1wvFVy3Dxb6+sWl5khAACCNSDQOJrbnrfkd+fehyAP00vpCIhgAACCCCAAAIIIIAAAnkSSBwgrb/++vbEE0/YCy+80GQ9C4WCXXDBBTZgwADjsl4THkYggAACCCCAAAIIIIBAxgUS32J36KGHmjpn0G12P/zhD23DDTe03r17u04afve737lnk9RZAwkBBBBAAAEEEEAAAQQQyJtA4gBJ3Qc+88wzdsghh9ill15atL79+vVz70X6wQ9+UDSeDwgggAACCCCAAAIIIIBAHgQSB0haKXW+8Je//MU++ugje/31123q1KnuDb2rr7666/I7DytOHRFAAAEEEEAAAQQQQACBqECiAEnPGE2ZMsUGDfr/90wMHTrU9E+B0n//+1+Co6gunxFAAAEEEEAAAQTqUmDhJZfX5XqxUmYVd9KgjhnWWGMNO+aYY5q4PfDAA+6ZJL0L6a233moynREIIIAAAggggAACCCCAQB4EKrqC9OSTT9oOO+xgc+fOdYFQdMU22WQTO+igg+ymm24yDf/97393t9xF5+MzAggggAACCCCAAAL1ILDa08+nthpvbLpRamVRUIVXkI499ljr0aOHPfjgg3bllU1fKLfuuuva+PHj3fTp06fbSSedhC0CCCCAAAIIIIAAAgggkDuBsrfYvfnmm67r7gMOOMBGjx5dcgV33HFHdyXp3nvvLfky2ZKZMBEBBBBAAAEEEEAAAQQQaCOBsgGSOl9QGjNmTEVV3HrrrW3RokWu04aKFmAmBBBAAAEEEEAAAQQQQCAjAmWfQfJ7rJszZ05FVfbna2hoqGh+ZkIAAQQQQKAaAo99MtkmTJ4SZHXKOt+wzh07Bp+rPbDY69n19JdeDrLddNBA227I4OAzAwgggAAC+RQoGyCts8461rdvX/feo5122qnsWj788MOm4Gi55ZYrOy8zIIAAAgggUC2B5z773Ma9NjHI7udrjax5gBQur2AFAqRAnwEEEEAgvwJlb7Hr0KGDbbbZZnb//ffbO++8U3JNn332WRdIbbPNNq5Th5IzMxEBBBBAAAEEEEAAAQQQyJhA2QBJ9T3zzDNtwYIFpt7qbrvtNjccXg/1XKfe7bbaaivr1KmTnXXWWeHJDCOAAAIIIIAAAggggAACuRCoKEDSbXYTJkyw7t272/777+/+6qWxCoiGDBli/fr1s7Fjx9qIESPsH//4h2244Ya5WHkqiQACCCCAAAIIIIBAPQqo0zRdtPjyyy/rcfVquk4VBUiqwciRI+25556z888/3/VoN23aNHviiSdcsLTXXnvZBRdc4KavtNJKNa0wmSOAAAIIIIAAAggggEBpgf9r707gJKnqw4G/2dmT3eVm5QZRYGEVJCBHRMUoBJBTRSViQPHAIAESJKv+8QgaMcGAxAslEiIiisYIamIialSCiifhisoRD+6bZVlgd/tfv3Kr7OmdmZ6dre7p6v6+z2dm6up3fF91T/26ql695S1vSWeccUZ66KGHxt/Q2tUE2g7S0PyKbbfdNp1++unlohixbs6cOeW8CQIECBAgQIAAAQIEpk7g17/+dTrhhBPSN77xjamrRM1LnvAZpNHaKTgaTcUyAgQIECBAgAABAlMjcPzxx6eVK1emK664Ymoq0AelrtEZpD5oryYQIECAAAECBAgQ6FuBCy64IG299dbppptu6ts2drpha3UGqdOVkz8BAgQIECBAgAABAhMXiOBIWjsBAdLa+Xk1AQIECBAgQIAAAQJ9JCBA6qPO1BQCBAgQIECAAAECBNZOQIC0dn5eTYAAAQIECBAgQIBAHwkIkPqoMzWFAAECBAgQIECAAIG1EzCK3dr5eTUBAgQI9IjA9uuumw7ecouyNtOndfY7wKGspObyFq63Xlm2CQIECBCor4AAqb59p+YECBAg0CTw8u22TfHTrTScBWCf/aPnd6s45RAgQGCNBBYuXJgajcYavcbGvxPo7NdrlAkQIECAAAECBAgQIFAjAQFSjTpLVQkQIECAAAECBAgQ6KyAAKmzvnInQIAAAQIECBAgQKBGAgKkGnWWqhIgQIAAAQIECBAg0FkBAVJnfeVOgAABAgQIECBAgECNBIxi16az5s6dO2KL4eHhNGfOnL4bFWTGjBl5O2fNmpWmdXho3BGgXZiJ9kS/tfZlF4rueBFDQ0MpfvqxbdOnT0+zZ89Oxb7ZccwBKqCT+0u/7o/9vHvMnDkz/58WfddPqWhPfJZ0cp+fKrN+fa9Ff0WKz//YNyUCUyEgQGqjPtbwiGMtb5Ndz6+OdvVb24r2FH97vhMmUUFtmwTaAL+k0/tLp/Mf4K7raNP7rd+KACna1W9tK3aEfm3XZNpX9HfxWn8JrI2AAKmN3tKlS0dsEd9oPPbYY2nFihUjlvfDTJwZe+KJJ/L29UN7ijbEt1FxFqK1L4v1df4b34rGP8h+bFv02bJly/J9ss59NL8HK9+p/aX4Rnuy+feiVQ92X+VVis/9fvwciSsH5s+fn/+/nuw+WTl2hRnOmzevLz/74392XM0Sn/9PPvnkhMXiGKbb6aZ99+52kcrrkoAAqUvQiiFAgAABAgQIEOgPgfXXX78/GqIVowoYpGFUFgsJECBAgAABAgQIEBhEAQHSIPa6NhMgQIAAAQIECBAgMKqAAGlUFgsJECBAgAABAgQIEBhEAfcgDWKvazMBAgT6UGDp8uUpfoq0UXajd6dHtro3u5G8SOtkN5fHj0SAAAEC9RbwSV7v/lN7AgQIEFglcM51N6Szrr2u9Ljj6KPSvFXPeCsXVjixfOXK9NTP/UuZ4ymLdkpn7r5bOW+CAAECBOop4BK7evabWhMgQIAAAQIECBAg0AEBAVIHUGVJgAABAgQIECBAgEA9BQRI9ew3tSZAgAABAgQIECBAoAMCAqQOoMqSAAECBAgQIECAAIF6CgiQ6tlvak2AAAECBAgQIECAQAcEBEgdQJUlAQIECBAgQIAAAQL1FBAg1bPf1JoAAQIECBAgQIAAgQ4ICJA6gCpLAgQIECBAgAABAgTqKSBAqme/qTUBAgQIECBAgAABAh0QECB1AFWWBAgQIECAAAECBAjUU0CAVM9+U2sCBAgQIECAAAECBDogIEDqAKosCRAgQIAAAQIECBCop8D0elZbrQkQIECgFwTmLz5tRDWWZXPzRywxQ4AAAQIE6iUgQKpXf6ktAQIECIwhcMLCHdMrttu2XDt3emf/xU2fNi395IhDyvLWnzmznDZBgAABAvUV6Ox/j/q6qDkBAgQI1Exgo9mzUvx0Mz193XW7WZyyCBAgQKALAu5B6gKyIggQIECAAAECBAgQqIeAAKke/aSWBAgQIECAAAECBAh0QUCA1AVkRRAgQIAAAQIECBAgUA8B9yDVo5/UkgABApUJtI48V1nGMiJAgAABAn0g4AxSH3SiJhAgQIAAAQIECBAgUI2AAKkaR7kQIECAAAECBAgQINAHAgKkPuhETSBAgAABAgQIECBAoBoBAVI1jnIhQIAAAQIECBAgQKAPBARIfdCJmkCAAAECBAgQIECAQDUCAqRqHOVCgAABAgQIECBAgEAfCAiQ+qATNYEAAQIECBAgQIAAgWoEPAepGke5ECBAgACBWgpMO+lNeb3nV1D7R846u4JcZEGAAIGpFRAgTa2/0gkQIECgIoHLf/Xr9JVf/6bM7by990yzhofL+aonVqxcmf7s6u+X2f7xFpunl2y7TTlvggABAgTqKSBAqme/qTUBAgQItAj8z/0PpEtuvrVc+oE99+hogNTISmoub8Hs2QKkUt8EAQIE6ivgHqT69p2aEyBAgAABAgQIECBQsYAAqWJQ2REgQIAAAQIECBAgUF8BAVJ9+07NCRAgQIAAAQIECBCoWECAVDGo7AgQIECAAAECBAgQqK+AAKm+fafmBAgQIECAAAECBAhULGAUu4pBZUeAQP0F5i8+rf6N0AICBAgQIEBgUgLOIE2KzYsIECBAgAABAgQIEOhHAQFSP/aqNhEgQIAAAQIECBAgMCkBAdKk2LyIAAECBAgQIECAAIF+FBAg9WOvahMBAgQIECBAgAABApMSECBNis2LCBAgQIAAAQIECBDoRwEBUj/2qjYRIECAAAECBAgQIDApAcN8T4rNiwgQIECg1wR222jD9Jrtn15Wa8a0zn4HOJSV1FzeHhtvXJZtggABAgTqKyBAqm/fqTkBAgQINAkcvNWWKX66lYazAOy8ffbsVnHKIUCAAIEuCXT267UuNUIxBAgQIECAAAECBAgQqEJAgFSFojwIECBAgAABAgQIEOgLAQFSX3SjRhAgQIAAAQIECBAgUIWAAKkKRXkQIECAAAECBAgQINAXAgKkvuhGjSBAgAABAgQIECBAoAoBAVIVivIgQIAAAQIECBAgQKAvBARIfdGNGkGAAAECBAgQIECAQBUCAqQqFOVBgAABAgQIECBAgEBfCAiQ+qIbNYIAAQIECBAgQIAAgSoEBEhVKMqDAAECBAgQIECAAIG+EBAg9UU3agQBAgQIECBAgAABAlUICJCqUJQHAQIECBAgQIAAAQJ9ITC9L1qhEQQIECAw8AL3PLYs3bNsWemwcP310rShoXK+ExM3PPBgme3Gs2elBXPmlPMmCBAgQKCeAgKkevabWhMgQIBAi8DH//fn6axrryuX3nH0UWnejBnlfNUTy1euTHtd8dUy21MW7ZTO3H23ct4EAQIECNRTwCV29ew3tSZAgAABAgQIECBAoAMCAqQOoMqSAAECBAgQIECAAIF6CgiQ6tlvak2AAAECBAgQIECAQAcEBEgdQJUlAQIECBAgQIAAAQL1FBAg1bPf1JoAAQIECBAgQIAAgQ4ICJA6gCpLAgQIECBAgAABAgTqKSBAqme/qTUBAgQIECBAgAABAh0QECB1AFWWBAgQIECAAAECBAjUU0CAVM9+U2sCBAgQIECAAAECBDogIEDqAKosCRAgQIAAAQIECBCop4AAqZ79ptYECBAgQIAAAQIECHRAQIDUAVRZEiBAgAABAgQIECBQTwEBUj37Ta0JECBAgAABAgQIEOiAwPQO5ClLAgQIECDQdYG3PHNR+vNFO5Xlzpsxo5zuxMT0adPS7UcfVWY9M5uXCBAgQKD+AgKk+vehFhAgQIBAJjBzeDj/6SbG/A4HYd1si7IIECBA4HcCvu6yJxAgQIAAAQIECBAgQGCVgADJrkCAAAECBAgQIECAAIFVAgIkuwIBAgQIECBAgAABAgRWCQiQ7AoECBAgQIAAAQIECBBYJSBAsisQIECAAAECBAgQIEBglYAAya5AgAABAgQIECBAgACBVQICJLsCAQIECBAgQIAAAQIEVgkIkOwKBAgQIECAAAECBAgQWCUgQLIrECBAgAABAgQIECBAYJWAAMmuQIAAAQIECBAgQIAAgVUCAiS7AgECBAgQIECAAAECBFYJCJDsCgQIECBAgAABAgQIEFglMJ0EAQIECBDoB4HP3Hxr+uytt5VN+cx+z01zpnfu39yKlSvTS7/xX2V5R26zdTp2+6eV8yYIECBAoJ4CnfvPUU8PtSZAgACBmgrc8sgj6crb7yhrv6LRKKc7MRG5N5f3zA3W70Qx8iRAgACBLgu4xK7L4IojQIAAAQIECBAgQKB3BXr+DNIj2TeCV1999WqCL3jBC9KMGTPy5bHNVVddleLvXnvtlbbeeusR27dbP2JjMwQIECBAgAABAgQIDKxAzwdIP/vZz9Lf/M3fpI033nhEJ+2zzz55gHTrrbem448/Pm233XZpiy22SOeff356z3vek/bee+98+3brR2RqhgABAgQIECBAgACBgRbo+QDpF7/4RVq0aFH68Ic/PGpHve9970uHHXZYOvnkk9PQ0FC66KKL0jnnnJMuvfTSfL7d+lEztZAAAQIECBAgQIAAgYEU6Pl7kCJA2nHHHUftnPvuuy/deOON6fDDD8+DodjokEMOSbfffnu64YYbUrv1o2ZqIQECBAgQIECAAAECAytQizNIs2bNSosXL0433XRT2mmnndKb3/zm/HK6O++8M++4zTffvOzAjTbaKM2cOTPdfffd5bKx1seZqeZ0zDHHpDvu+P0ISHEZ37ve9a7mTdLw8HCKMhodHh1pRKFdmImzb5Hmz5+f5s2b14USu1dEtC1+Ntlkk+4V2qWSYn+M1I9tmzZtWor3/lS815Z1qf8UQ6DfBHrxsyg+R3qxXmvb9/EZ2a/tCpv111+zUSEff/zxtSX1egKlQE8HSDG4QgRBm266aTr66KPTvvvumz7/+c+nE088MV188cV5MBMffPHTnOIg/4EHHkgrVqzI1421vvk1Mb1s2bL02GOPlYufeOKJ8sxUuTCbKIKJ5mV1ny7aVPyte3ua6x9tKn6al/fTdL/2Wz/1kbYQGASBXv0s6tV6re0+0a/tCpd+btva9rvXd16gpwOkOJNx2WWXpQ033DA/KxQcO++8czr22GPTlVdemX+7sHz58tWUIjBaZ5118kEcxlvf+sIIvlpT8xmlWBd1eeihh/Lgq3XbOs+H13rrrZcefvjhEUFindtU1H169qDIImgulvXL3/j2ML5FbD5j2i9ti/0xvrCILyq6neZ3u0DlEegTgV76LIoz7AsWLEhxZuHBBx/sE+HfNyPa1kvev6/Z2k2tu+66ae7cufkX3U8++eSEM5szZ86Et7UhgXYCPX0PUnx7EGeP4pK5IsVodXFQGIFLjGwXwdDSpUuL1fnfOMjfbLPN2q4f8SIzBAgQIECAAAECBAgMvEBPn0G67bbb0jvf+c582O6tttoq76wIjO655578HqQtt9wyxdmB66+/Pj372c/O18egDStXrkxx31EEVuOtH/jeB0CAAAECBCoUmL/4tMpye+SssyvLS0YECBBYE4GePoO07bbbptmzZ6ePfexj+anWCI4+8pGPpA022CC98IUvzC8JO+CAA9KFF16YlixZkt9DdMEFF6QDDzwwP8sUl+iMt35NoGxLgAABAgQIECBAgED/C/R0gBT8p556aoqHvR555JH5QA2//e1v04c+9KH8HqNYf8IJJ+Rnig499NB0xBFH5GeMTjrppFiVp3bri+38JUCAAAECBAgQIECAQE9fYhfds3DhwnTJJZeke++9Nx90Ic4KNac4m3TuuefmgwvEDZlxY19zare+eVvTBAgQIFBfgedu+pQRlZ+ZDWDSyTQtu0928S7PKIvYZ0H/PUqgbJwJAgQIDJBAzwdIRV/EgAzjpRj1ZLzUbv14r7WOAAECBHpf4HlZgBQ/3UoRIL39Wbt0qzjlECBAgECXBDr79VqXGqEYAgQIECBAgAABAgQIVCEgQKpCUR4ECBAgQIAAAQIECPSFgACpL7pRIwgQIECAAAECBAgQqEJAgFSFojwIECBAgAABAgQIEOgLAQFSX3SjRhAgQIAAAQIECBAgUIWAAKkKRXkQIECAAAECBAgQINAXAgKkvuhGjSBAgAABAgQIECBAoAoBAVIVivIgQIAAAQIECBAgQKAvBARIfdGNGkGAAAECBAgQIECAQBUCAqQqFOVBgAABAgQIECBAgEBfCAiQ+qIbNYIAAQIECBAgQIAAgSoEBEhVKMqDAAECBAgQIECAAIG+EJjeF63QCAIECBAYeIFbH1mSbst+ivS8TRek4Wmd+x6w0Wikb91xV1Fc2nre3PS0deeX8yYIECBAoJ4CAqR69ptaEyBAgECLwCU335LOuva6cukdRx+V5nUwQFqRBUiHff0bZXmnLNopnbn7buW8CQIECBCop0Dnvlqrp4daEyBAgAABAgQIECAwwAICpAHufE0nQIAAAQIECBAgQGCkgABppIc5AgQIECBAgAABAgQGWECANMCdr+kECBAgQIAAAQIECIwUECCN9DBHgAABAgQIECBAgMAACwiQBrjzNZ0AAQIECBAgQIAAgZECAqSRHuYIECBAgAABAgQIEBhgAQHSAHe+phMgQIAAAQIECBAgMFJAgDTSwxwBAgQIECBAgAABAgMsIEAa4M7XdAIECBAgQIAAAQIERgoIkEZ6mCNAgAABAgQIECBAYIAFBEgD3PmaToAAAQIECBAgQIDASIHpI2fNESBAgACBegpMnzYtzRke7mrlm8ubmZUvESBAgED9BQRI9e9DLSBAgACBTOCvdnlG/tMtjAjI7n7VK7pVnHIIECBAoEsCvu7qErRiCBAgQIAAAQIECBDofQEBUu/3kRoSIECAAAECBAgQINAlAQFSl6AVQ4AAAQIECBAgQIBA7wsIkHq/j9SQAAECBAgQIECAAIEuCQiQugStGAIECBAgQIAAAQIEel9AgNT7faSGBAgQIECAAAECBAh0SUCA1CVoxRAgQIAAAQIECBAg0PsCAqTe7yM1JECAAAECBAgQIECgSwICpC5BK4YAAQIECBAgQIAAgd4XECD1fh+pIQECBAgQIECAAAECXRIQIHUJWjEECBAgQIAAAQIECPS+gACp9/tIDQkQIECAAAECBAgQ6JKAAKlL0IohQIAAAQIECBAgQKD3Bab3fhXVkAABAgQItBf4+E0/Txf+4pflhlcedEBaZ3rn/s0tX7kyPfcr/16Wd8zTtksn7rywnDdBgAABAvUU6Nx/jnp6qDUBAgQI1FTgnmXL0nUPPFjWfmWjUU53aqK5vDsfe6xTxciXAAECBLoo4BK7LmIrigABAgQIECBAgACB3hYQIPV2/6gdAQIECBAgmOGjAAAAM59JREFUQIAAAQJdFBAgdRFbUQQIECBAgAABAgQI9LaAAKm3+0ftCBAgQIAAAQIECBDoooAAqYvYiiJAgAABAgQIECBAoLcFBEi93T9qR4AAAQIECBAgQIBAFwUESF3EVhQBAgQIECBAgAABAr0tIEDq7f5ROwIECBAgQIAAAQIEuiggQOoitqIIECBAgAABAgQIEOhtAQFSb/eP2hEgQIAAAQIECBAg0EUBAVIXsRVFgAABAgQIECBAgEBvCwiQert/1I4AAQIECBAgQIAAgS4KTO9iWYoiQIAAAQIdEzhwyy3Sgjmzy/xnDQ+X052YmDY0lP5+rz3KrHfdcMNy2gQBAgQI1FdAgFTfvlNzAgQIEGgS2H3jjVL8dCtFgPT6HXfoVnHKIUCAAIEuCbjErkvQiiFAgAABAgQIECBAoPcFBEi930dqSIAAAQIECBAgQIBAlwQESF2CVgwBAgQIECBAgAABAr0v4B6k3u8jNSRAgAABAgMnMH/xaWvd5iVZDsMfu2Ct85EBAQKDJeAM0mD1t9YSIECAAAECBAgQIDCOgABpHByrCBAgQIAAAQIECBAYLAEB0mD1t9YSIECAAAECBAgQIDCOgABpHByrCBAgQIAAAQIECBAYLAEB0mD1t9YSIECAAAECBAgQIDCOgABpHByrCBAgQIAAAQIECBAYLAEB0mD1t9YSIECAAAECBAgQIDCOgABpHByrCBAgQIAAAQIECBAYLAEPih2s/tZaAgQI9K3A/9z/QLrugQfL9h311G3S9Gmd+x6w0WikS2+5rSxv5/XXS7tutGE5b4IAAQIE6ikgQKpnv6k1AQIECLQIXP6rX6ezrr2uXHro1lumeR0MkFZkAdIbrrq6LO+URTsJkEoNEwQIEKivQOe+WquviZoTIECAAAECBAgQIDCgAgKkAe14zSZAgAABAgQIECBAYHUBAdLqJpYQIECAAAECBAgQIDCgAgKkAe14zSZAgAABAgQIECBAYHUBAdLqJpYQIECAAAECBAgQIDCgAkaxG9CO12wC/SYwf/Fp/dYk7SFAgAABAgSmQMAZpClAVyQBAgQIECBAgAABAr0pIEDqzX5RKwIECBAgQIAAAQIEpkBAgDQF6IokQIAAAQIECBAgQKA3BQRIvdkvakWAAAECBAgQIECAwBQICJCmAF2RBAgQIECAAAECBAj0poAAqTf7Ra0IECBAgAABAgQIEJgCAcN8TwG6IgkQIECgeoH1Z85MT503r8x42tBQOd2piebyNpw1q1PFyJcAAQIEuiggQOoitqIIECBAoHMCJ+68MMVPt9L0adPStS85rFvFKYcAAQIEuiTgErsuQSuGAAECBAgQIECAAIHeFxAg9X4fqSEBAgQIECBAgAABAl0SECB1CVoxBAgQIECAAAECBAj0voAAqff7SA0JECBAgAABAgQIEOiSgACpS9CKIUCAAAECBAgQIECg9wWMYtf7faSGBAgQIECAwCQFVpzwujR/kq9tfdkjZ53dusg8AQJ9KCBAatOpc+bMGbHF8PBwmj17dlq5cuWI5XWfmTFjRt6E4m/d29Nc/2nZULzRb6192bxNXaeHVj3npR/bFn02K3uuTPyVCBAg0AsCvfRZG5//vVSfqvpn+vTfHZrG538xPZG843+9RKAqAQFSG8nRDs7iTVgcmLZ5eW1WFx8sRTBRm4pPoKJFf43WlxN4eU9vEvth/PRj26Lf+nF/7OkdSuUIEBhXoNc+a3utPuPiTXBlcXwVn/8SgakSECC1kV+yZMmILWZmT2pfunRpWrFixYjldZ9ZZ5118jNjjz/+eHrsscfq3pwR9Y9voOKfSGtfjtiopjPx7WH8E+nHtkWfxb74xBNPTKh3qrqEZkKF2YgAgYEU6KXP2vi/3Uv1qWqHiP9pcawVn/9PPvnkhLPtx7NpE268DSsXEJ5XTipDAgQIECBAgAABAgTqKiBAqmvPqTcBAgQIECBAgAABApULCJAqJ5UhAQIECBAgQIAAAQJ1FRAg1bXn1JsAAQIECBAgQIAAgcoFDNJQOakMCRAgQGAqBM657oZ03g03lkVfd+Thae6Mzv2bW5497mH7z3+xLO+NO+6QFu/6zHLeBAECBAjUU6Bz/znq6aHWBAgQIFBTgaXLl6d7lz1e1r6RGuV0pyaay3s0K18iQIAAgfoLuMSu/n2oBQQIECBAgAABAgQIVCQgQKoIUjYECBAgQIAAAQIECNRfQIBU/z7UAgIECBAgQIAAAQIEKhIQIFUEKRsCBAgQIECAAAECBOovIECqfx9qAQECBAgQIECAAAECFQkIkCqClA0BAgQIECBAgAABAvUXECDVvw+1gAABAgQIECBAgACBigQESBVByoYAAQIECBAgQIAAgfoLCJDq34daQIAAAQIECBAgQIBARQICpIogZUOAAAECBAgQIECAQP0FBEj170MtIECAAAECBAgQIECgIgEBUkWQsiFAgAABAgQIECBAoP4C0+vfBC0gQIAAAQIpvXTbbdIuG25QUswZHi6nOzExPDSULtnvuWXWT193fjltggABAgTqKyBAqm/fqTkBAgQINAksXH+9FD/dSkNZgHTo1lt1qzjlECBAgECXBFxi1yVoxRAgQIAAAQIECBAg0PsCAqTe7yM1JECAAAECBAgQIECgSwICpC5BK4YAAQIECBAgQIAAgd4XECD1fh+pIQECBAgQIECAAAECXRIQIHUJWjEECBAgQIAAAQIECPS+gACp9/tIDQkQIECAAAECBAgQ6JKAAKlL0IohQIAAAQIECBAgQKD3BTwHqff7SA0JECBAgACBHhCYv/i0ymrxyFlnV5aXjAgQqFbAGaRqPeVGgAABAgQIECBAgECNBQRINe48VSdAgAABAgQIECBAoFoBAVK1nnIjQIAAAQIECBAgQKDGAgKkGneeqhMgQIAAAQIECBAgUK2AQRqq9ZQbAQIECEyRwNV335O+n/0U6cSdF6YZ0zr3PeDKRiOdd/2NRXFpj002Tvs+ZUE5b4IAAQIE6ikgQKpnv6k1AQIECLQIfOP2O9JZ115XLn3djtt3PEA648c/Lcs7ZdFOAqRSwwQBAgTqK9C5r9bqa6LmBAgQIECAAAECBAgMqIAAaUA7XrMJECBAgAABAgQIEFhdQIC0uoklBAgQIECAAAECBAgMqIAAaUA7XrMJECBAgAABAgQIEFhdQIC0uoklBAgQIECAAAECBAgMqIAAaUA7XrMJECBAgAABAgQIEFhdQIC0uoklBAgQIECAAAECBAgMqIAAaUA7XrMJECBAgAABAgQIEFhdQIC0uoklBAgQIECAAAECBAgMqIAAaUA7XrMJECBAgAABAgQIEFhdQIC0uoklBAgQIECAAAECBAgMqIAAaUA7XrMJECBAgAABAgQIEFhdYPrqiywhQIAAAQL1E9hy7ty09yYblxUfHhoqpzsxEbk3l7f1vLmdKEaeBAgQINBlAQFSl8EVR4AAAQKdETh2+6el+OlWGp42Lf3nQQd0qzjlECBAgECXBFxi1yVoxRAgQIAAAQIECBAg0PsCAqTe7yM1JECAAAECBAgQIECgSwICpC5BK4YAAQIECBAgQIAAgd4XECD1fh+pIQECBAgQIECAAAECXRIQIHUJWjEECBAgQIAAAQIECPS+gACp9/tIDQkQIECAAAECBAgQ6JKAYb67BK0YAgRWF5i/+LTVF65asjL7O2vVz5gbWUGAAAECBAgQqFjAGaSKQWVHgAABAgQIECBAgEB9BQRI9e07NSdAgAABAgQIECBAoGIBAVLFoLIjQIAAAQIECBAgQKC+AgKk+vadmhMgQIAAAQIECBAgULGAAKliUNkRIECAAAECBAgQIFBfAaPY1bfv1JwAAQIEWgQajUa5ZGhoqJzu1ES3y+tUO+TbfYHxRvGcSG0eyzaav2rDR846eyIvsQ0BAhMUECBNEMpmBAgQINDbAu/96bXprGuvKyt5x9FHpXkzZpTzVU8sX7kybXDxpWW2pyzaKZ25+27lvAkCBAgQqKeAS+zq2W9qTYAAAQIECBAgQIBABwQESB1AlSUBAgQIECBAgAABAvUUECDVs9/UmgABAgQIECBAgACBDggIkDqAKksCBAgQIECAAAECBOopIECqZ7+pNQECBAgQIECAAAECHRAQIHUAVZYECBAgQIAAAQIECNRTQIBUz35TawIECBAgQIAAAQIEOiAgQOoAqiwJECBAgAABAgQIEKingACpnv2m1gQIECBAgAABAgQIdEBAgNQBVFkSIECAAAECBAgQIFBPAQFSPftNrQkQIECAAAECBAgQ6ICAAKkDqLIkQIAAAQIECBAgQKCeAgKkevabWhMgQIAAAQIECBAg0AGB6R3IU5YECBAgQKDrAsdt//S0/xabl+WuM72z/+KGh4bSlQcdUJa32Zw55bQJAgQIEKivQGf/e9TXRc0JECBAoGYCW8xdJ8VPt9JQFiDtucnG3SpOOQQIECDQJQGX2HUJWjEECBAgQIAAAQIECPS+gDNIvd9HakiAAAECayjw9KNevYav6Pzmv7zsU50vRAkECBAgsNYCAqS1JpQBAQIECBDorkAvBoAhIAjs7n6gNAIEOiPgErvOuMqVAAECBAgQIECAAIEaCjiDVMNOU2UCUykwf/FpU1m8svtYoFfPilRF3u/tq8pJPgQIEJhqAQHSVPeA8gkQIDABgSoPrl0GNQFwm0xKoBf3016s06RwvYgAga4JuMSua9QKIkCAAAECBAgQIECg1wUESL3eQ+pHgAABAgQIECBAgEDXBARIXaNWEAECBAgQIECAAAECvS7gHqRe7yH1I0Cg1gJV3v9QawiVJ7CGAt47awhmcwIEKhMQIFVGKSMCBAjUQ8CBZz36SS0JECBAYGoEBEhT465UAgQIECBAgEAlAlU+fuGRs86upE4yIVBnAQFSnXtP3QlMUKDKf54TLLLWmznDUs/ue/zHP0pP/ORHZeXn/elr0tCMGeV81RONlSvTkgsvKLOducuz0qxn71nOmyBAgACBegoIkOrZb2pNgAABAi0CT954Q1r6r18sl879k1d3NEBKjcaI8tK0YQFSqd+fE1V+eeJ5ZP25j2hVfwgYxa4/+lErCBAgQIAAAQIECBCoQECAVAGiLAgQIECAAAECBAgQ6A+BgbjE7pFHHklXXXVVir977bVX2nrrrfuj97SCAIFSoMpLX8pMTRAgQKBDAlV+Zrlcr0OdJNuBFej7AOnWW29Nxx9/fNpuu+3SFltskc4///z0nve8J+29994D2+kaXh+BdoMrLFvVlPn1aZKaEiBAgAABAgR6WqDvA6T3ve996bDDDksnn3xyGhoaShdddFE655xz0qWXXprP93TvqBwBAgQIECBAgAABAl0V6OsA6b777ks33nhjeutb31oGQ4cccki64IIL0g033JAWLVrUVWyFEZgqgV69lKPKek2VrXIJECBAgACB/hLo6wDpzjvvzHtr8803L3tto402SjNnzkx33333agHSSSedlO66665y29133z2deuqp5XxMTJ8+PW2wwQbZ6K6NEcurmlnx7W9VlVUaft5+E85r2rTfjdcxb968tM4666z2uqrqteJTF62WdzcWLM8KGe8ytJmfuLCyajzx+tdUllcvZiSo6cVeUScCBAZZoMrP5V8uPq0Sysn+Xx0eHs7LX2+99dboWOuJJ56opN4yIRACfR0g3XHHHWnWrFn5T3N3z58/Pz3wwAPNi/LpOKv0m9/8plwegVAEU62pCCZal1cy/6IDKslmsplEADhqqqpeVeUzaiV7Y+HMiz7dGxVpqsXvvipoWmCSQB8KvPOaq9NfN7XrloP2T/GlT6fS8uXLU/NjaN/89O3S+w85sFPFyZdAdwR6ZB+esYYPeY73o0SgKoExjoaryn5q84k312hvmBUrVox6luTKK69crcIRZDWnDTfcMD300EMp8uinFGeN4tuaBx98MD322GP91LT8rN9YQXHdG7rJJpukCNibz3zWvU1F/WN/jH2x374VjC9d4kx2jKq5ZMmSorl98Tfu89x4443TPffcMyXtCdPmFFcRzJ07t3nRpKfjC7PZs2enyLO4gqD1/0v0Z+v/jEkX2MUXhlG0aenSpV0stfNFxZmIBQsW5J8j8b+t31K0La6G6be07rrr5u/be++9Nz355JMTbt6cOXNGPbabcAY2JNAk0NfPQYp/1BHItH7oP/zww2mzzTZrYjBJgAABAgQIECBAgACBlPo6QNpyyy3zswfXX3992dcxaMPKlStT831J5UoTBAgQIECAAAECBAgMtEBfB0hxic4BBxyQLrzwwvxSlmXLluUj2B144IEpLk2SCBAgQIAAAQIECBAg0CzQ1/cgRUNPOOGE9O53vzsdeuih+WANu+66a4rR6iQCBAgQ6C+BHXbYIR188MFlo4rRsMoFFU/EPVfN5e20004VlyA7AgQIEJgKgb4PkOLG2nPPPTfFfUfxz7KqG3anorOUSYAAAQJjCxx++OEpfrqV4n9KPFdPIkCAAIH+Euj7AKnorhgVRSJAgAABAgQIECBAgMB4An19D9J4DbeOAAECBAgQIECAAAECrQICpFYR8wQIECBAgAABAgQIDKyAAGlgu17DCRAgQIAAAQIECBBoFRAgtYqYJ0CAAAECBAgQIEBgYAUESAPb9RpOgAABAgQIECBAgECrgACpVcQ8AQIECBAgQIAAAQIDKyBAGtiu13ACBAgQIECAAAECBFoFBEitIuYJECBAgAABAgQIEBhYAQHSwHa9hhMgQIAAAQIECBAg0CogQGoVMU+AAAECBAgQIECAwMAKCJAGtus1nAABAgQIECBAgACBVoHprQvMEyBAgACBOgosWbIkPfroo2XVFyxYkIaGhsr5TkzcddddZbZz585N8+bNK+dNECBAgEA9BZxBqme/qTUBAgQItAh89KMfTbvttlv5s3Tp0pYtqp1dvnx5WVaUe+6551ZbgNwIECBAYEoEBEhTwq5QAgQIECBAgAABAgR6UUCA1Iu9ok4ECBAgQIAAAQIECEyJgABpStgVSoAAAQIECBAgQIBALwoIkHqxV9SJAAECBAgQIECAAIEpERAgTQm7QgkQIECAAAECBAgQ6EUBAVIv9oo6ESBAgAABAgQIECAwJQICpClhVygBAgQIECBAgAABAr0oIEDqxV5RJwIECBAgQIAAAQIEpkRAgDQl7AolQIAAAQIECBAgQKAXBQRIvdgr6kSAAAECBAgQIECAwJQICJCmhF2hBAgQIECAAAECBAj0ooAAqRd7RZ0IECBAgAABAgQIEJgSAQHSlLArlAABAgQIECBAgACBXhQYamSpFyumTt0V+NKXvpQ++MEPpre+9a1p//33727hSpu0wHHHHZfuv//+dPnll086Dy/srsAPf/jDdPrpp6djjz02/+lu6f1dWvw7W7lyZdnI4eHhcnptJ972trel733veyk+K+fPn19mt2LFinJ6aGgoTZvme8cSZIon7rjjjvSqV70qvehFL0rRf1I9BD784Q+nL3zhC+kjH/lIWrhwYT0qrZZ9JzC971qkQZMSWLJkSfrtb3+bHn300Um93oumRuDOO+9M995779QUrtRJCSxbtix/rz388MOTer0XjS0QAUqVQVFzSfE+i8/I5oAo1neqvOayTU9OYPny5XmfxZdIUn0EHnzwwbzfnnjiifpUWk37TsBXXX3XpRpEgAABAgQIECBAgMBkBQRIk5XzOgIECBAgQIAAAQIE+k7AJXZ916WTa9CWW26Z/uiP/ihtttlmk8vAq6ZEYJ999kku1ZoS+kkXutFGG+Xvte22227SeXhh9wWe9axn5ZfTzZgxo/uFK3FSAnPmzMnfa4sWLZrU671oagR22GGHvN/WXXfdqamAUglkAgZpsBsQIECAAAECBAgQIEBglYBL7OwKBAgQIECAAAECBAgQWCUgQLIrECBAgAABAgQIECBAYJXA8LuyRGOwBGKY2k996lMp7oGYNWvWiMb/6le/Sv/2b/+Wbr/99vSUpzwlzZw5c43Wj9jYTEcF2vVVRwuX+bgCMRz01772tdR670O8937yk5+kK6+8MsUQtltsscVq+ejX1Ug6viA+77761a+mm266Ka2//vojnnMUhT/yyCPpm9/8Zt538Qyk9dZbb0Sd2q0fsbGZSgRiCO/vf//76dvf/naeX/y/ak3t3kvt1rfmZ746gRg2/9JLL0277LLLiGeHtXsvTeQztLpaymmQBQRIA9j78RC2CJAOP/zwEQcCseyMM85Ic+fOLR+I+IIXvCDFja6R2q0fQMopa7K+mDL6tgXHM8VOPfXUdNttt6XDDjus3D7+sZ9wwgnpiiuuSBtssEG6+OKLUzzHKgbaKJJ+LSS69zc+8+Izcd68eemaa65JF154YYqbxLfaaqu8Erfeems6+uijUzx0NJ5h9aEPfShfHwPbRGq3Pt/Ir0oF4jk5r3zlK/OANp59dcEFF6SHHnoo7bnnnmU57d5L7daXGZmoXCAe6PyOd7wjfeUrX0mvfvWry2eJtXsvTeQztPLKynBwBbIdVRoQgexgrHHaaac1stHqGvvuu28j+5a7bPn//d//NbJgqJF9u50ve/LJJxvHH39846Mf/Wg+3259mZGJjgvoi44TT7qA733ve42XvOQl+Xss3j/N6ZJLLmlkB3WNLIDKF2cBVOO5z31uIztrkc/r12at7kyH/fOe97zGXXfdVRaYXVSR91Ox4PWvf33jnHPOaaxcuTJf9E//9E+Nl7/85eV8u/VFPv5WJ3Deeec13vCGN5QZXn311fn/tPgfF6nde6nd+jJjEx0R+NznPtc48MAD8z57/PHHyzLavZfafYaWGZkgUIGAe5AGKDY+66yzUrbPpPe///2rtfoHP/hB2nzzzVMMZRtp+vTpKfsAS//5n/+Zz7dbn2/kV1cE9EVXmNe4kLg05G1ve1s66KCD8jMOrRl897vfTfvvv39+hjbWbbPNNukZz3iG91grVBfnH3jggZQFsmnBggVlqbvttlt+Zi8+K++7775044035mfb40xFpEMOOSS/BPmGG25ou77M1ESlAs9//vPT6aefXuYZZ2QjRX9GavcZ2W59nolfHRGIs0QXXXRRetOb3jQi/3bvtdi43WfoiAzNEFhLAc9BWkvAOr188eLF+X1F2bdnq1U7Lh9pvR8iAqa4Tjj75jS/vGS89dOmibVXQ+3QgnZ9pS86BN8m27gUNftmNMVzjrKzDKttHf0W76nmFPN33313vki/Nst0Z3rvvfdO8dOc4v6wnXbaKUVAFJdARmrut+jfuDez6Lfx1rfeg5Zn5tdaC8R9K5Gysw/ppz/9aX7AHcvi0shI7d5L7db7DM0ZK/+VXZmS3v3ud6fs7N9qxxvt3mvxXmr3GVp5hWU40AKOageo+0e7ibVofnw4tT6ULW5GjuAoru1ut77Ix9/OC+iLzhtPpoQ46xoHz6OluKE8vmxofY/F/P3335+/RL+OJtfdZZ/97GfTz372s3TyySfnBccBWQxk0zqYTXw2xtmKduu7W/vBK+3yyy/P75u9/vrr0yte8YryZv9276V26wdPsjst/sQnPpGfrW2+N7Moud17aSKfoUVe/hKoQsAZpCoUeyyPL3/5yyluFC/SEUcckWbPnl3Mjvo3ng4fH0DNqZhfZ511Urv1za8z3VkBfdFZ307kPjw8nB+8Fe+pooyYj0FRIunXQmVq/n7yk59Mn/70p9N73/vetOOOO+aVGK1PYkXcLD7W52Lz+jwTvzomcNRRR6Ujjzwyfec730n/7//9v/wS17g0fLR+K957Y/Vb8/qOVXiAM/7xj3+cj5Abl9eNlkbrs9iueK9N5DN0tHwtIzBZAQHSZOV6+HVf//rXR1z+Ef8w2gVIG2+8cT7qVnOzHn744Xy0rfj2tN365teZ7qyAvuisbydyj8u1Ntxww3y46Ob84z226aab5ov0a7NM96bjLPkHPvCBFJ+bZ599dop7kIoUfRIHaEuXLs0DomJ59Ntmm22W36s53vpie387JxBnbmO01RgRLYZij/937d5L7dZ3rraDm/P555+fv4eKe6DjypRIEdgeeuiheZ+N916ayGfo4OpqeScEXGLXCdUpzvPcc89N2Wgv5U8816NdeupTn5oPmVp8ixbbx2ULxX1H7da3y9/66gT0RXWW3cwpnjsW76nmFDf6e481i3R/+swzz0zZKGgpG7FzRHAUNYmhvOMAvLnfYtCGCKrivqR267vfmsEo8ZRTTkmXXXbZiMbGVRMxsEakdp+R7daPyNhMJQIvfvGL08EHH5x23nnn/CcGqYm0cOHC/MujibyX2n2GVlJRmRBYJSBAsivkAi960Yvyv3GJSfzzv+WWW/IHJ8YzCiK1W59v5FdXBPRFV5grL+RlL3tZfpYigqI4kPvCF76QPyw2Dhoi6dfKydtmGA/FjjNHxx13XH52L+4/Kn7i2+x4IOwBBxyQPxspDsDjOUjxzJ04S7HJJpu0Xd+2AjaYlMBznvOc/HLIm2++OR+o4Utf+lIexMYIkpHavZfarZ9UpbxoXIG47+jYY48tf+J9FemYY47JH6jd7r0W27b7DI1tJAJVCQxl/6h/95VLVTnKp+cFYhS7+FCKG5KbR2fKnoGUjzATl5PEiFzxINnXvva1ZXvarS83NNFxAX3RceK1KiBGsYshaeNgujnFfS7xgMq43j7OHJ144olpjz32KDfRryVFVyZiiO+f//zno5b1ta99Lb8kKAZjiJG3InCKy4133XXX9Pa3v70ccKPd+lEzt3CtBGL0urhXLC6pixEF4yzfG9/4xpQ9g6zMt917qd36MiMTHRH40Y9+lOJMYIwaGX0YaSLvpXafoR2prEwHUkCANJDdPn6js4cm5t+OjjXUabv14+dubZUC+qJKze7k9cQTT6S4hyXugxgr6dexZKZuefRZ3CheDKrRWpN261u3N7/2AnFWL9xjhNbom9FSu/dSu/Wj5WlZZwXavZcm8hna2RrKfRAEBEiD0MvaSIAAAQIECBAgQIDAhATcgzQhJhsRIECAAAECBAgQIDAIAgKkQehlbSRAgAABAgQIECBAYEICAqQJMdmIAAECBAgQIECAAIFBEBAgDUIvayMBAgQIECBAgAABAhMSECBNiMlGBAgQIECAAAECBAgMgoAAaRB6WRsJjCNw33335Q8Fvvrqq9NDDz00zpbVr4ohdn/729+WGceDOOM5XfEsrirSZPO788470+23315FFWqfRzxM9Ve/+lUl7Xjsscfy/o2/46XJ9tt4edZ1XVX74n/8x3+kW2+9ta4M6k2AAIGuCgiQusqtMAK9IRDPh37Xu96Vdtlll/yZVy9+8YvTH/7hH6bNNtss/eVf/mWKA9RupHhg8b777lsW9a1vfSttu+22ecBWLPyf//mf1R64Wqxr93e0/Nq9JtYfccQRqXjS+0S279dtvv71r6fXvOY1aYMNNqikifFQyOjfOFgfL43Wb2uzH4xXVq+va90Xn3zyyfS3f/u36Z577lmjqt98883pqKOOSitWrFij19mYAAECgyggQBrEXtfmgRc48cQT07vf/e78AYtnn312+v73v58+/OEPp7333jv9/d//fXr5y18+JQdS8fDU/fffP69X0Um77757Xr9ifk3+jpbfmrx+kLeNs3hveMMb0hlnnJHmz5/fVYrR+m1t9oOuVr7iwvbcc8/8y4si27/7u79Lf/VXf5XiYZlrkqIv4wGcH/jAB9bkZbYlQIDAQApMH8hWazSBARZ461vfmj760Y+mN7/5zekf/uEfSok4EDvhhBPyg7Errrgife5zn0tHH310ub4bE3vsscdqZxeWL18+6aJHy2/SmQ3YCz/2sY/ll1y+7nWv63rLR+u3tdkPut6ACgs877zzRuQ2WYfh4eH87PDpp5+ev8/XXXfdEfmaIUCAAIHfCwxnl9m86/ezpggQ6GeBuLzmJS95Sdpxxx3T5z//+TR9+sjvSIaGhtJee+2VfvrTn6ZFixal+NY+UgRUcR/KkiVL0tve9rb0v//7v3kec+fOTXHA9o//+I8pDqg/+9nP5vc5xGtnz549gvLuu+9Ol156af4N9k9+8pO09dZbp6985Svp/vvvT6ecckq+7S9/+cv0wQ9+MD+DtHLlyhTflv/Xf/1XiksC456gpz/96Wm99dYbkW/M3HTTTXmw94xnPCM/A/bP//zPZflFfptsskn+ul//+tf5Nh/5yEfyYCzuy4jXzZw5s8z3ggsuyL+h/7M/+7Ny2eWXX54uueSSNGPGjLzu5Yqmiajzv/zLv6RzzjknXXTRRbnjrFmz0jbbbNO01e8m45KxT33qU+lDH/pQ3ra4vLG1bddcc02e1/nnn59+8IMfpDjI3W677cq8xmp3OEWaaN+UGa6aiNf9yZ/8STr44IPz/aV5fVzaFX194YUXpnD+0Y9+lFs3t3GseoXPZz7zmfTKV74y/exnP0tx9vLf//3fU9yTFPtMkSa6H4y3X06knqO9PvaH6MM/+IM/KPehol7R/3FP1nOe85xi0Yi/N9xwQ96fW221Vdpwww3LdcU+t/766+eXsf7iF79IEfg885nPTN/5znfyfTcs4z32rGc9K9/Hihd/4hOfSN/73vdSfIER76/LLrssv48rLOM9teuuu6aJ7ndxeeP73ve+vG5xSa1EgAABAmMIZAceEgECAyKQBT6N7KOg8c53vnONWpwdtDX222+/RhZkNKZNm5b//OY3v2lkB2iN7Nv+PM8ddtihkd0v0cgOAhvZwXLj+uuvL8vIDlbzZdmlWo3DDz+8kV3K18gOIBvZAVv+U2yYHXzmeWUHgY1bbrklLzPqmwUP+fR1111XbDri77/+67/mr8vuscj/Rh3f+MY3NprzixdkB6aNjTbaKK9jdvDfeO5zn9vIgsTG0572tMa9995b5pkFiY3sgL2czwKZvM0ve9nLGtmlTeXy1ok///M/b2RBZiM78G3Etptvvnk+n122OGLTqG8W7DSyYKcRdd50003Ldhcbnnnmmflri22iPmER7SrSWO2O9RPtmyKv5r/f/OY387LCrzl997vfzfeBefPmNbJLIRvZ/WN5O6LNWZBcbjpWvbIzk3m+sT9lZzAaWbDeyA7882WvetWrytc399t4+8FY++VE6zna6z/+8Y/n9ckCk7I+MZEFcY0sgG0ce+yxI5Y3z2RfOozpFn33yU9+Mt88+2Ig3+61r31t/jfqkX1pkU9ngVkj+yKjzLZ5X3zHO96Rv18iryzAabzlLW/Jt5vofhcbv/CFL2zstttuZf4mCBAgQGB1gfhmViJAYEAEsm/+84Ow7JvoNWpxHMDFQdlf/MVfNLJ7UxrZGYL89cUBXvaNe5lfNgpdHtBE8FGkOJiOg8vszFOxqPH+978/zzOCpCI1HxgXy+LgO7vMq5gd9W9xQJ7du5IHZtlZqUY2+tdqAVIcUGZnihrZN/plPtmlhHk9sssNy2XNB6XZWYM8CMjOqDSyMyvlNq0T2f0d+XbZWadyVRzoRrD0lKc8pXxtBHlz5szJA8XHH3883zbyjTKf+tSnNrIBMhpXXXVVHpBlZ1rKgCw7S5D7Rz9kZ+Ly143V7lg50b7JM2r5lZ3dyE0isG1Oz3ve8xoR5IZtkcIygsw4sC/SWPUqAqQFCxY0srNExeaN7LLPvLwvfvGL+bKJ7gdj7ZcTredor48+if3o+c9/flm/mAjzsP/GN74xYnnzzJoGSLFfZGcSyyyy+4TyMr72ta+Vy5r3xViY3TuYbxNfUESa6H6Xb5z9Wrx4cSM7u1vuj8VyfwkQIEDg9wIGacj+40kEBkXgtttuy5uaHZitcZOzszLpve99b8oO7vPL6x588MH8Mqt99tknHXnkkWV+celcXJ4Vlw5de+21+Y3hMRra61//+pSdZSq3i9HyYtsqU5Sx884756OujdbGaEPc3J6dYSgHoYiRve644478nqzWusR9WK9+9avTn/7pn+aXw8UlbuOlyD87c5bnF9vFfFwiGO7Fa7OD3/ySsrh8sLisL9bFZWunnXZa7pWdaci3j8sD45K+SHH5Y/hnwUV+GVe+cNWv1nZPtG+a82iejjZEP8dgCUXK/m3kl1fG/WnNtltuuWV+WWZc0taaWutVrM8C7ZSdtStm84Eg4vKzuFRzTVPrfrmm9Wx9ffRJdjYrffvb3x4xvHlcApcF82m//fZb0yqOuf2b3vSm/PLOYoPYFyPFUPdrkiay3xX5xeV/MUpldmauWOQvAQIECLQIjLwBoWWlWQIE+ksg7rWJFPcQZd+Qr1Hj4sCq+b6iuI8iDkZjZKwY9a45Zd9u57M///nP8/WxXQwp3pwiKIj7J+JenKpScwA2Wp7HH398uvjii/PBJ2IkvxgxL4Y4zy77W23zOEiNA+W4bysGDYiD0PFSjPR26qmn5kMwb7HFFvk9LAcddFA+ZHhxL1e8Pu7vinu3tt9++xHZZWcz8vtPYuGNN96Y37cUwVBzCv8wi3u4mlNruyfaN619UuQZAVIEPs0pArQ//uM/Tg888ED6whe+kOJ+m9iPoi4x3Rw0Fa9rrVex/NnPfnYxmf+NYCy2jfzWNLXul2taz9bXR/kxtHkEp3HPUXbGJcXzumJo8rj/LvKvKhX3ihX5Ff3d7jlRxfbxd6L7XfGa4kuJ6OPWfbDYxl8CBAgMusD4//EHXUf7CfSZQNx4HikOaMdLcQP5V7/61RGbZPfujJjP7tnJ5+PgNoKH5p84CHvFK16RH7zFg2gjZfet5H+bfzXfyN68fLLTrXVszScOCGNQgfe85z35wWHc8B5nh2J5dlnbiM1jQIoYGjlujo9hlSfykM3sssHcLc6gxQ33UU4EV9l9K/mACVFAPBh3NIvmwsNsrFHG4rXxLJzm1NruifZNcx7N0/Fw0nXWWad5UT4dg0pEQJHdX5XiLFcMBR5taw4Am1/UWq9i3Whti3atSWBQ5DVaGWtSz9FeH0Fodp9OHkxHOREoRaAcbZ1MiteOllqNi+ArvlBYkzSR/a7Irygz+lgiQIAAgdEFnEEa3cVSAn0pEKPXxTfOMXrcX//1X496EB6Xg8WocnGGKUYxGysVo6nFN/+f/vSnR2wWB4TFJWXF5UIRMLSmGJmu2ykeevr2t789/4kR9CJIitHq4kxBXBZYpAia4tlQcYYrAoDsnp6U3X8y7hmEaHc8YDbOHMVB7g9/+MP8srm4PCsCsewG+ZTdZ5TiQagR5BSXz0WZccD6pS99Kd8mLj+LZ1ONlqJ/4mzTeGmifTNWHnE2KM50RRuKg/Y4ixIGUXacQSrOREQe0b41Oagf7eA89pPWMypj1W+85VXVM84iZYMf5F8mxKWW8UDjwnWs8ot9vjWAHW3fHyuPySyfyH5X5BtndSMVZ6uK5f4SIECAwO8FnEH6vYUpAn0vEGd54tlHMYzyMcccs9pBbdyfc9xxx+XLTzrppHE94mAxG30tZTfW55fRNW8cl6bFPSVx0JuNaJdffhUH0c0pgqPmgKR5XfN0HHSu6UMxm1/fPB1nteIMyKOPPpovjjNY2ahwaeHChXmA0rxtcX9QDMUcwVMENREwjZWKS+diiO9IEVjEpWTxvKlIRVAQ92zFsMwRmDWnuKQrnkMVlyfGMNJxFikCpuYUl7NFOXF2Y7w00b4ZK4+4vC6MikslY7soO4b/jvvNmoOjuJwvDrpj3URTa9vjnrCbb7457bfffmNmMdH9oKp6xlnA2Afi3rAIVuN90S7FPh8pLpFsThFYV5WKIKx4T0x0vyvKjyHYI8X7QCJAgACBMQSyb/0kAgQGTODkk0/OR8KKUbyy+yoaMXpYdmDfyM6a5Muz4GiESGzXPEpZsTKGv84+WhoveMELGlkA0cie1VOOtHbGGWcUmzWyZwiVo7JlZ1XykcBiqOHsDMqYw3wXL46hxbODuUYWnDSyb+KLxSP+FqOmRTnNqXU0tOxAN69vDEf+5S9/uZE9X6aRPTgzXxYjqRWpdeSwGNksG/yhkd071MgO5IvNVvsbQ4dnl2w1Yljv7MC1ESPgZfd9NbLLxxpZwJNvn51dyIcQz85kNbJnCTWy5wE1smfT5MNex7DZMaJdjBSYBZb5cOTZM5ka2SWRjRhtL7u3KR8avBiFb6x2R0ET7ZvVGpEtKIa6zu67KVeHffRXFnw1sssvG9mZrEb2TKNGFiw1smc95etipL1IY9WrGMUu8okRBcMoRn6LYdxjSPRHHnkkf31rv8XC0faD0fbLNannaK/PK7Dq10tf+tJ8ZMLssrR8tLjmdaNNZ0Fl3mcxhHkYXnnllY3sXre87vE+aR3mu3n0x8gvG9Qk3xfPPffcMvvWfTHeB5FXNgBG/r6NDSey3xUZHnjggY3Y92I/lAgQIEBgdIH4plgiQGDABOLgKAKY7DKb/GArDrjiJwKReP5LdsnOCJHxDiRjyPA4uC3yiCGfY4jpYgjrIqN4Tk52OV6+XfYteD50d3YWq22AlJ1ZacQBauQfAcVoaawD8tEOtLP7gvKApahvHMxGkNjc5taD0ijzv//7v/MgL4Z/LgKB1rrEMObx2iLv7CxSI+xan9+UnU3Kh/nOzuiV28YzgbLLw8osYxjnbACJvMzIL4KzOLjNzsqV24zV7mKDifZNsX3xNzu7lz+DKRtpr1iU/40gLTu7VdYp9p8IBLIHrubtyEZ+y7cbq15FgBTBWzx7qnCKPLN7vMqyRuu30faDsfbLidZzrNcXFYkgOuqYjWRYLGr7NxuxsZGdgSvbFs8JiyA48qkiQIrnW0W9I78IoiNNdL+LfTzeq83PnMoz8IsAAQIERggMxVz2QSsRIDCAAnGpV1z6FfdtxMhra3NfQuQTl4Vtmw2FHKO0jZXiHpoYPrrdQAXNr497LOJ+oXhdcU9M8/o1nY7Lk7KzMPnL4nK0KvJsrkMMkhBDh4dF3PM1VopBCWK45bikLXtO1KibxTZhFvfnNN+zNOrGYyycaN80vzzumcqCwnxkueKyrmJ97C9xn03rSHfF+on+jYEvYsCG0QZKGC2PNd0P1raeMSR7FpTm955lZ0lHq9KYy6LPYh9vHip9zI0nsSJGE4xRDWOQlCK12++yM1YphhKPe+PaXaZZ5OkvAQIEBlFAgDSIva7NBAgQaCMQo+3FoB7xbKK4d2vQUnx5EINtRKAT9+1UHURPhWd2djPFPXXZZZtTUbwyCRAgUBsBo9jVpqtUlAABAt0TiDOKMbx5DCE9SAFSXFQRg0XEGcAYzCRG7OuH4Oib3/xmPnhEdp9e93YiJREgQKCmAkaxq2nHqTYBAgQ6LXDaaafll/Vdc801nS6qZ/KPYCiGOY8RGuNZTzFqXz+kGKo8hvYf7YG+/dA+bSBAgECVAi6xq1JTXgQIECBAgAABAgQI1FrAGaRad5/KEyBAgAABAgQIECBQpYAAqUpNeREgQIAAAQIECBAgUGsBAVKtu0/lCRAgQIAAAQIECBCoUkCAVKWmvAgQIECAAAECBAgQqLWAAKnW3afyBAgQIECAAAECBAhUKSBAqlJTXgQIECBAgAABAgQI1FpAgFTr7lN5AgQIECBAgAABAgSqFBAgVakpLwIECBAgQIAAAQIEai3w/wHT6AZuCKwwNAAAAABJRU5ErkJggg==",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "average_credit_risk_score <- fraud_train |>\n",
    "    group_by(fraud_bool) |>\n",
    "    summarize(credit = mean(credit_risk_score))\n",
    "\n",
    "average_credit_risk_score\n",
    "\n",
    "credit_risk_score_plot <- ggplot(fraud_train, aes(x = credit_risk_score, fill = fraud_bool)) +\n",
    "  geom_histogram() +\n",
    "  labs(fill = \"Fraudulence\") +\n",
    "  xlab(\"Credit risk score (arbitrary units)\") +\n",
    "  ylab(\"Count\") +\n",
    "  geom_vline(xintercept = 180, linetype = \"dashed\", size = 1) +\n",
    "  geom_vline(xintercept = 206, linetype = \"dashed\", size = 1) +\n",
    "  annotate(\"text\", x = 100, y = 1700, label = \"Legitimate mean\") +\n",
    "  annotate(\"text\", x = 295, y = 1700, label = \"Fraudulent mean\") +\n",
    "  ggtitle(\"Mean credit risk score is higher for fraudulent accounts\")\n",
    "\n",
    "  fraud_credit_risk_score_plot <- fraud_narrowed |>\n",
    "  filter(fraud_bool == 1) |>\n",
    "  ggplot(aes(x = credit_risk_score)) +\n",
    "  geom_histogram() +\n",
    "  xlab(\"Credit risk score (arbitrary units)\") +\n",
    "  ylab(\"Count\") + \n",
    "  ggtitle(\"Fraudulent accounts tend to have higher credit risk score\")\n",
    "\n",
    "credit_risk_score_plot\n",
    "fraud_credit_risk_score_plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "b149b453",
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A tibble: 2 × 2</caption>\n",
       "<thead>\n",
       "\t<tr><th scope=col>fraud_bool</th><th scope=col>income</th></tr>\n",
       "\t<tr><th scope=col>&lt;fct&gt;</th><th scope=col>&lt;dbl&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><td>0</td><td>0.6914942</td></tr>\n",
       "\t<tr><td>1</td><td>0.7382450</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A tibble: 2 × 2\n",
       "\\begin{tabular}{ll}\n",
       " fraud\\_bool & income\\\\\n",
       " <fct> & <dbl>\\\\\n",
       "\\hline\n",
       "\t 0 & 0.6914942\\\\\n",
       "\t 1 & 0.7382450\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A tibble: 2 × 2\n",
       "\n",
       "| fraud_bool &lt;fct&gt; | income &lt;dbl&gt; |\n",
       "|---|---|\n",
       "| 0 | 0.6914942 |\n",
       "| 1 | 0.7382450 |\n",
       "\n"
      ],
      "text/plain": [
       "  fraud_bool income   \n",
       "1 0          0.6914942\n",
       "2 1          0.7382450"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "average_income <- fraud_train |>\n",
    "    group_by(fraud_bool) |>\n",
    "    summarize(income = mean(income))\n",
    "\n",
    "average_income\n",
    "\n",
    "income_plot <- ggplot(fraud_narrowed, aes(x = income, fill = fraud_bool)) +\n",
    "  geom_histogram(binwidth = 0.1) +\n",
    "  labs(fill = \"Fraudulence\") +\n",
    "  xlab(\"Income\") +\n",
    "  ylab(\"Count\") +\n",
    "  geom_vline(xintercept = 0.69, linetype = \"dashed\", size = 1) +\n",
    "  geom_vline(xintercept = 0.74, linetype = \"dashed\", size = 1) +\n",
    "  annotate(\"text\", x = 0.56, y = 4000, label = \"Legitimate mean\") +\n",
    "  annotate(\"text\", x = 0.87, y = 4000, label = \"Fraudulent mean\") +\n",
    "  facet_grid(rows = vars(fraud_bool)) +\n",
    "  ggtitle(\"Mean income is higher for fraudulent accounts\")\n",
    "\n",
    "fraud_income_plot <- fraud_narrowed |>\n",
    "  filter(fraud_bool == 1) |>\n",
    "  ggplot(aes(x = income)) +\n",
    "  geom_histogram(binwidth = 0.1) +\n",
    "  xlab(\"Income\") +\n",
    "  ylab(\"Count\") + \n",
    "  ggtitle(\"The vast majority of fraudulent accounts have 0.875 <= income <= 1\")\n",
    "  \n",
    "\n",
    "income_plot\n",
    "fraud_income_plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "0b765908",
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A tibble: 2 × 2</caption>\n",
       "<thead>\n",
       "\t<tr><th scope=col>fraud_bool</th><th scope=col>address</th></tr>\n",
       "\t<tr><th scope=col>&lt;fct&gt;</th><th scope=col>&lt;dbl&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><td>0</td><td>108.8403</td></tr>\n",
       "\t<tr><td>1</td><td>111.2798</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A tibble: 2 × 2\n",
       "\\begin{tabular}{ll}\n",
       " fraud\\_bool & address\\\\\n",
       " <fct> & <dbl>\\\\\n",
       "\\hline\n",
       "\t 0 & 108.8403\\\\\n",
       "\t 1 & 111.2798\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A tibble: 2 × 2\n",
       "\n",
       "| fraud_bool &lt;fct&gt; | address &lt;dbl&gt; |\n",
       "|---|---|\n",
       "| 0 | 108.8403 |\n",
       "| 1 | 111.2798 |\n",
       "\n"
      ],
      "text/plain": [
       "  fraud_bool address \n",
       "1 0          108.8403\n",
       "2 1          111.2798"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "average_address_duration <- fraud_train |>\n",
    "    group_by(fraud_bool) |>\n",
    "    summarize(address = mean(current_address_months_count))\n",
    "\n",
    "average_address_duration\n",
    "\n",
    "address_duration_plot <- ggplot(fraud_train, aes(x = current_address_months_count, fill = fraud_bool)) +\n",
    "  geom_histogram(binwidth = 30) +\n",
    "  labs(fill = \"Fraudulence\") +\n",
    "  xlab(\"Months lived at current address\") +\n",
    "  ylab(\"Count\") +\n",
    "  facet_grid(rows = vars(fraud_bool)) +\n",
    "  ggtitle(\"Distribution of duration stayed at current address\")\n",
    "\n",
    "fraud_address_duration <- fraud_train |>\n",
    "  filter(fraud_bool == 1) |>\n",
    "  ggplot(aes(x = current_address_months_count)) +\n",
    "  geom_histogram(binwidth = 30) +\n",
    "  xlab(\"Months lived at current address\") +\n",
    "  ylab(\"Count\") +\n",
    "  ggtitle(\"Current address duration for fraudulent accounts clustered around 100 months\")\n",
    "\n",
    "address_duration_plot\n",
    "fraud_address_duration"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "332d8a6f",
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A tibble: 2 × 2</caption>\n",
       "<thead>\n",
       "\t<tr><th scope=col>fraud_bool</th><th scope=col>similarity</th></tr>\n",
       "\t<tr><th scope=col>&lt;fct&gt;</th><th scope=col>&lt;dbl&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><td>0</td><td>0.4965410</td></tr>\n",
       "\t<tr><td>1</td><td>0.3989186</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A tibble: 2 × 2\n",
       "\\begin{tabular}{ll}\n",
       " fraud\\_bool & similarity\\\\\n",
       " <fct> & <dbl>\\\\\n",
       "\\hline\n",
       "\t 0 & 0.4965410\\\\\n",
       "\t 1 & 0.3989186\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A tibble: 2 × 2\n",
       "\n",
       "| fraud_bool &lt;fct&gt; | similarity &lt;dbl&gt; |\n",
       "|---|---|\n",
       "| 0 | 0.4965410 |\n",
       "| 1 | 0.3989186 |\n",
       "\n"
      ],
      "text/plain": [
       "  fraud_bool similarity\n",
       "1 0          0.4965410 \n",
       "2 1          0.3989186 "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "average_similarity <- fraud_train |>\n",
    "    group_by(fraud_bool) |>\n",
    "    summarize(similarity = mean(name_email_similarity))\n",
    "\n",
    "average_similarity \n",
    "\n",
    "similarity_plot <- ggplot(fraud_train, aes(x = name_email_similarity, fill = fraud_bool)) +\n",
    "  geom_histogram(binwidth = 0.15) +\n",
    "  labs(fill = \"Fraudulence\") +\n",
    "  xlab(\"Name-email similarity (arbitrary units)\") +\n",
    "  ylab(\"Count\") +\n",
    "  facet_grid(rows = vars(fraud_bool)) +\n",
    "  ggtitle(\"Distribution of name-email similarity\")\n",
    "\n",
    "fraud_similarity_duration <- fraud_train |>\n",
    "  filter(fraud_bool == 1) |>\n",
    "  ggplot(aes(x = name_email_similarity)) +\n",
    "  geom_histogram(binwidth = 0.15) +\n",
    "  xlab(\"Name-email similarity (arbitrary units)\") +\n",
    "  ylab(\"Count\") +\n",
    "  ggtitle(\"Most fraudulent accounts have a name-email similarity of around 0.2\")\n",
    "\n",
    "similarity_plot\n",
    "fraud_similarity_duration"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "5a153196",
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A tibble: 2 × 2</caption>\n",
       "<thead>\n",
       "\t<tr><th scope=col>fraud_bool</th><th scope=col>session_length</th></tr>\n",
       "\t<tr><th scope=col>&lt;fct&gt;</th><th scope=col>&lt;dbl&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><td>0</td><td>5.886810</td></tr>\n",
       "\t<tr><td>1</td><td>7.125959</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A tibble: 2 × 2\n",
       "\\begin{tabular}{ll}\n",
       " fraud\\_bool & session\\_length\\\\\n",
       " <fct> & <dbl>\\\\\n",
       "\\hline\n",
       "\t 0 & 5.886810\\\\\n",
       "\t 1 & 7.125959\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A tibble: 2 × 2\n",
       "\n",
       "| fraud_bool &lt;fct&gt; | session_length &lt;dbl&gt; |\n",
       "|---|---|\n",
       "| 0 | 5.886810 |\n",
       "| 1 | 7.125959 |\n",
       "\n"
      ],
      "text/plain": [
       "  fraud_bool session_length\n",
       "1 0          5.886810      \n",
       "2 1          7.125959      "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA0gAAANICAYAAAD958/bAAAEDmlDQ1BrQ0dDb2xvclNwYWNlR2VuZXJpY1JHQgAAOI2NVV1oHFUUPpu5syskzoPUpqaSDv41lLRsUtGE2uj+ZbNt3CyTbLRBkMns3Z1pJjPj/KRpKT4UQRDBqOCT4P9bwSchaqvtiy2itFCiBIMo+ND6R6HSFwnruTOzu5O4a73L3PnmnO9+595z7t4LkLgsW5beJQIsGq4t5dPis8fmxMQ6dMF90A190C0rjpUqlSYBG+PCv9rt7yDG3tf2t/f/Z+uuUEcBiN2F2Kw4yiLiZQD+FcWyXYAEQfvICddi+AnEO2ycIOISw7UAVxieD/Cyz5mRMohfRSwoqoz+xNuIB+cj9loEB3Pw2448NaitKSLLRck2q5pOI9O9g/t/tkXda8Tbg0+PszB9FN8DuPaXKnKW4YcQn1Xk3HSIry5ps8UQ/2W5aQnxIwBdu7yFcgrxPsRjVXu8HOh0qao30cArp9SZZxDfg3h1wTzKxu5E/LUxX5wKdX5SnAzmDx4A4OIqLbB69yMesE1pKojLjVdoNsfyiPi45hZmAn3uLWdpOtfQOaVmikEs7ovj8hFWpz7EV6mel0L9Xy23FMYlPYZenAx0yDB1/PX6dledmQjikjkXCxqMJS9WtfFCyH9XtSekEF+2dH+P4tzITduTygGfv58a5VCTH5PtXD7EFZiNyUDBhHnsFTBgE0SQIA9pfFtgo6cKGuhooeilaKH41eDs38Ip+f4At1Rq/sjr6NEwQqb/I/DQqsLvaFUjvAx+eWirddAJZnAj1DFJL0mSg/gcIpPkMBkhoyCSJ8lTZIxk0TpKDjXHliJzZPO50dR5ASNSnzeLvIvod0HG/mdkmOC0z8VKnzcQ2M/Yz2vKldduXjp9bleLu0ZWn7vWc+l0JGcaai10yNrUnXLP/8Jf59ewX+c3Wgz+B34Df+vbVrc16zTMVgp9um9bxEfzPU5kPqUtVWxhs6OiWTVW+gIfywB9uXi7CGcGW/zk98k/kmvJ95IfJn/j3uQ+4c5zn3Kfcd+AyF3gLnJfcl9xH3OfR2rUee80a+6vo7EK5mmXUdyfQlrYLTwoZIU9wsPCZEtP6BWGhAlhL3p2N6sTjRdduwbHsG9kq32sgBepc+xurLPW4T9URpYGJ3ym4+8zA05u44QjST8ZIoVtu3qE7fWmdn5LPdqvgcZz8Ww8BWJ8X3w0PhQ/wnCDGd+LvlHs8dRy6bLLDuKMaZ20tZrqisPJ5ONiCq8yKhYM5cCgKOu66Lsc0aYOtZdo5QCwezI4wm9J/v0X23mlZXOfBjj8Jzv3WrY5D+CsA9D7aMs2gGfjve8ArD6mePZSeCfEYt8CONWDw8FXTxrPqx/r9Vt4biXeANh8vV7/+/16ffMD1N8AuKD/A/8leAvFY9bLAAAAOGVYSWZNTQAqAAAACAABh2kABAAAAAEAAAAaAAAAAAACoAIABAAAAAEAAANIoAMABAAAAAEAAANIAAAAAN/ryxkAAEAASURBVHgB7N0JuCRVfTfgM8wMzMYmAwKyGIm4YBQjikv8otEoRgRjosa4hMFdY4hZVDBGjQuuoCRKjMuIRoOCiSbGJdGIGpRoxJCwiAsIUUCUHQZmvV/9K1ZP953u2911b9+u5a3nmbnVtZ7znq7u+tXWS2ayLukIECBAgAABAgQIECBAIO3EgAABAgQIECBAgAABAgT+T0BA8k4gQIAAAQIECBAgQIDAzwUEJG8FAgQIECBAgAABAgQI/FxAQPJWIECAAAECBAgQIECAwM8FBCRvBQIECBAgQIAAAQIECPxcQEDyViBAgAABAgQIECBAgMDPBQQkbwUCBAgQIECAAAECBAj8XEBA8lYgQIAAAQIECBAgQIDAzwUEpAzila98ZXrkIx859N+xxx5bizfO7//+7+d1+fGPf1y6vKeeemq+jC996Uull1F2xltuuSVdf/31ZWdftPm++c1v5kZveMMbhq7zhhtuyKf9vd/7vaHTLuQE73nPe/L1/vM//3PPYvsZD5q2Z8ZFfvHDH/5wImu8/fbbc5enPvWpE1l+HRa6cePG3ODJT37yghe337KntQ0Mq1y/7bhf+Yctp9/4fttZv+liWL913nbbbXkbPe1pTxs024INn72tVfHzYMEqa0EECBAYIrBsyPhWjL7wwgvTOeecM7Sud7rTnYZOU4UJzj///PT1r389bdiwoXRxvvvd7+YmL3jBC0ovo8yM//iP/5hinWeffXZ66EMfWmYRizZP7PDF+2b//fcfus5Nmzbl097znvccOu1CTnDZZZfl633605/eWewg437TdmZa5J6bb745Pf/5z8+D8uc///kFX/vWrVtzlwMPPHDBl12XBW7bti03uMtd7rLgRe637GltA8Mq12877lf+YcuZPX7QdjZ7uuJ1v3Vu2bIlb6O73vWuxWQL/nfQtlalz4MFr7QFEiBAYIiAgNQF9Na3vjX9zu/8TteQ3t6ddnLCrVdk4V+9//3vT1dfffXCL7ilSzzqqKPSHnvskY444oiOwCDjftN2Zlrknh/84AfpzDPPTL/+67++yGtuz+qWL1+e3vjGN6Zdd911wSs9yWUveGH7LHAhyj9oO+uzunzQQqxz0LLnGj5oW6vS58Fc5TeOAAECkxAQkLpU99xzz3TAAQd0DdFLoN4CxaWjo9RinGlHWZ5pqi2wbNmydOKJJ06kkJNc9kQKPGuh0yj/NNY5q9o9L30e9HB4QYBAywQEpBINHteKr1+/Ph1yyCH5kfm/+Zu/ST/72c/SMccck37lV34lLVmyJF/q97///fTlL385fec738nH3+1ud0u/9Eu/lOJepmKamDDuhzjjjDNSBLR+90T8wz/8Q/rJT36Sn92KswFFNzMzk/7zP/8zfeYzn0lxmcjDH/7w9MQnPrEY3fP3q1/9arrooovyI/JR7u7uRz/6Ufr0pz+dfvEXfzE9+tGP7h7Vtz+uq//Upz6V/uu//ivFNfL3u9/90m/8xm+kgw46qGf6uMzvggsuSHGPQ1w+8tnPfjadd955abfddksPfvCDexxiOR/+8IdTcR38Jz/5yfTf//3fuUe4zNXF5VJhcPHFF6e4NDCWf/e73z097nGPS7/wC7/QM+s4ZeqeMe6J+tznPpe+8pWvpEMPPTQ94QlP6B497/5vfOMb+bIvueSSFJd9PfCBD8xNu98nxUqi3cM+POM+s7D87d/+7fQ///M/KS6vjLIVl02Fd0z7q7/6q3n7zGXcPe297nWvtHnz5hRHwcPwsY99bH6pT9yTduONN+bLi2GrV6/O752IspyTXW4YZYt1PelJTyqK2/N3lG0ilvMv//Iv+Xzx3vzrv/7rFNvOYx7zmJ5ljWPWM2OfF9GuUberrroqt4/tYNBlTaPU4Ytf/GL63ve+l1uE5ezu8ssvT3HpYGyL3WfJRt22Zi9v9utvf/vb+TZ6xRVXpDvf+c7p3ve+dzr66KNT92XCcfnW+973vrwNn/nMZ+aLWKg277fs2WXsfj3qNjzqZ2/3srv7R92O5yr/MNu5PstWrVo18LsjtuPY3mKbKtqju+zRH5+78Z0S29mRRx6Zf4auXLmyZ7JxPuvn2tZmfx50ryQ+A+IMb3zmhlV8r8V3wMEHH9w9WeczJLalOCMVZYttLT7n73Of++Tl77edDTPuWYkXBAgQmIRA9kHb+i4LNjOZ7Uy2szCSxXXXXZdP/5u/+Zsz2Zda3h/zZzsiM9kOxkwWBmbe9KY3zeyyyy75uOzSvJlsR7cz3cMe9rCZW2+9tbOua665Jh+X3Z/SGdbd85CHPCQfnwWtzuA77rhjphge686OPubTZF9SM9mXVd6fhYXO9Nl9Pfmw7EutM6zoyXbU8nHZ5YXFoJlB0//7v//7TLbDnE8fddp5553z/iyUzHzoQx/qzB89f/zHf9xZZxae8v4oa/Ev22GbyXZ48nn+93//tzO8GB9/s/vDepY5+0WYPOhBD+rMWzjEvNnOyMxHP/rRnlnGKVMxYxZQZ5YuXZqvo1h+thMz85KXvCQf9ru/+7vFpAP/DmrjLBzPZA/V6Lw/ivdMlD/boZiJ+bq7aPfu91xRnl/+5V+eedaznpWX5wtf+EJnlpe97GX5sPe+970zw4y7p40FZDvr+bxZ6J558YtfnPd3t02812KaLEzsMO6FL3xhpwzRM8428exnP3uH5WUBsLO8cc06M3b1FHXbb7/9Ou3YXbfdd999Jrt5v2uO8eqQHUDJ6zDovRFtHuvLDq501jHOttWZqU9P9tCZjl922VanP7tXbibbIe7Mkd2jmI/LwnRnWOEy3zbvt+xB28A42/Cwz95ORfr0jLMd9yt/LHIU27m2s7nKn90LtEN7ZEEkHxZtF++leM90t2l2cGomC+w9tR302R0Tzf6sn2tbm/15UKzkrLPOmlm7dm1elvgOKD4b4zPx9NNPLybL/xbvp/iOfcUrXpHP072dxfdGdnCrZ55RjHtm8IIAAQITEIgjUa3vioAUOyvZ0bC+/7IjnB2n4ktuxYoVM/EB/2d/9md5IPqrv/qrfJrsiWH5F0F2ud5M9MeXXOwcfOADH5jJzg7k4/7yL/+ys7xBOw7FBEUQ6g5IxRfbU57ylJnsLMJMdgP0THYWqPPFFV9CCx2QsqPrM9n9Cnnwe+c735nvHEfAyc6szMSOZqzz3HPPLYrdCUgRorLLNWb+7u/+bubaa6+d+fu///vcLab/27/923z68M3uPZrJzhLky8lucM5fR+Ccq8vOtOTTn3DCCXmYiuljR/P444/Ph0e5wqboioA0SplinuwIaV7n7CzWTHZWKw904Z0d4c2XH3UYtBNcrDP+DmrjojwRmrMzZnmQCOfnPOc5+fLDo7s77rjj8uHR7rEjFvX913/915l4r0VZ4t+ggDTMePYOUbFzEztk2VHqmQ9+8IMzUbaPfexjnfdx+EZA/Y//+I+Z7Oj8THaGKg/rseOUnUHpFH2cbeKmm26ayc4g5XXJzkbl74PsDGlnWeOadWbs6inqFl7xXohtNzyzM4wz2RnPfN3ZWauuOWbybTmmH2W7jgMga9asyUN6rKu7i/dj7GCGadQ1unG3re7ldfdnZ9XysmdnOfPtIAJ11Oukk07Khx922GGdyfuFgMJlvm3eb9mDtoFxtuFhn72dys3qGXc77lf+UW3n2s7mKn+/dRYBKd53EUA+8pGPzESb/vSnP5157nOfm7dphKQ4AFF04wSkuba12Z8HsfzsDHf+vo3vvne/+935d1uUO0JTdnYyL092lqsoSucgS2xj8RkaISnaIv4VgS87298p/6jGnRXoIUCAwIQEBKQMtghI8SU06F8ctS+64ksups0uiSgGd/7GznPsIMbO4uzuz//8z/N1ZI977owatONQTDA7IMVOXKw7doK6g1tMX+yIxviFDkjFznn2MIuiaJ2/Ec5indnDADrDih3ZODPWHVJiglNOOSWfvvusVQwv2qI7aMXwfl2cXYqdzFj+7CAVO6gxLsqUXc7UmX3cMmWXkeXLKIJcZ0FZT7FjVzYgRfvEjmgcwe8OAMU6wjLKH7bRZZem5K/jDOHsdi92LGL6QQGpWO4g49k7RMXOciwzwn13V0wbZ+myy+C6R83E2Z6YJ4Jw0Y27TWSXCubLyC4/KxaR/x3XrGfmrhfddZt95jh2Pouzvt1nesetQxHSZ38ORPgPn+zJgp0SjbttdWac1RMHLmLZ2cMXesbE+yVCddQhgmx0/XbIu13m0+b9lt3vc27cbXjYZ29PpbtejLsd9yv/OLax6n7b2Vzl77fO7oAUZ4Fnd8XZ5Oypn51R4wSkmGnQtlZs493rfcQjHpG/v4qDgZ2VZj3F2amDDz6483nf/X6afYVBfCfstdde+fKKg3/jGnevXz8BAgQWUsBj2bK9iaLbd9990z3ucY++/7IP/WKynr/Zl2DP63iRfRHk9+Z0P1o5hmcN17mvIfviiEGlurjPJLrsLEOa/WS9uA589n03pVbSZ6a4TykLfinb8dthbNwfEvcKxT1R2Zd6z/gwyoJAz7Divox4xGzZLjsanjuHR3apWc9issCU31MVA/tZj1qmWHbc09Tv6Ybxe1Pz6eI+myjnb/3Wb+VPmpu9rOJ+tOwMUT4qC0H53+zytR3aPe5ZmuRj0eN91d1loT1/GfefFfc7FeOLe9Gys4XFoAXbJsY16xRgjp7Z9+1lZ3dSdlYs316zQNaZc9ztuthOsnDdWUb0xHKiW7duXf43/iu7bXUW8POeuBckuvgds7ifJe6NjC4+J7Izf/m6h93Tl8+Q/TffNi+WM9ff+W7Dcy27e9xCbMcLaRtl6/fd0V3m7v649zQL0d2D8v74LIguOyiS/53kf1nIzn8+Ip56mJ292mFV8R1w3/veN8V9b3H/3ewuPue6u/hOiPteoyu+BxbauHt9+gkQIDCOQO9e5ThzNnDa17/+9Sm7dG3kmsWXVuxM9euysxfpa1/7WsouPeo8PCAekpAdQcwnjy+bsl08+CC6uHG9XxcPKMjOmvQbVXpYhJ7Y2cquN9/hZvliobGzH118OcYOe9EVO8zF6/hb3Cw+H4dYTgS2eMhFdrYifwhFdiQyXXrppfmDMeLBENH1W8coZYrHjWdnE/KbiaPes7twnk9X7ETEQziyM2Y7LKoIdsV0RTAudipmzxAPj4j33EJ3cdN43Ojf3cWw6GaHoxgWN6JHFwcEuruF2CYKi1HNutffrz/eh9lR7B1GFfXNziD1jBunDtllk/kDPWLnNR6yEsuM7eif/umf8pvZf+3Xfi1f9ny2rZ7CZS/iQS3xo6LZ5az5AZTnPe956QEPeEAeduJhKRFIRukWqs1HWVeZbXiuz97Z61yo7XihbKN845Q/po+Hecw+CFQMj7/dQT5eT6KL75R4SEYcRMwumeu7ividt3i4TnwOx4NBii6+J4vPhWJY/J39PbCQxt3r0U+AAIFxBXYadwbTbxfot2MVY2NnKJ4wFDtIf/RHf5Q/tSh2tOOIbHaJ1/YFjNhX7OgXk8fyo4szG/26QaGt37QxbPby+01XrDO+GONodL9/cVYoglF2qUjPImKnclJddqlH/nS2ZzzjGenkk0/On/C0zz77pFe/+tWpOEvVb92jlKmo80I5zy5HsfzswQx9PbMHBeSexRH/4vehYvp+Xb8dkH7TjTus2InpN9/sM5j9polhUdeF2CbGNRtUnmJ4EfSK13P9LVOHOOofAT0CS3TZvRr5TmZ2iW3nSZZFncpsW7PLGzvR2X0q+b94imO8V7KHTaTXvva1edCPz6N+BwxmL2ch2nz2Mge9LrMND/rs7beOwne+2/FC2UYZxyl/TB+fBf26ok6zP3P7TRvDRvmsHzRvcUY4wt2grijP7KsIRvm8jWUupPGgMhpOgACBUQScQRpFacxp4pHLcTnU4x//+PQnf/In+eU6xc5rsaPUfXQ9jqBGN2jHJR7l3N3FZU3xuNfs5uvuwZ3+7Fr/Tn/RM9c6Zi+/mKf7b5xxiWXEDldxqVf3+Gn0x5H5P/iDP8gfi5vdMJw/irr7rFrsKEbXbT1OOSNgxWUg4ziPs/y7Zo++jS57Qlz6wz/8w7x/rv/iKHI8inpQea688sq5Zp/quHG3iUGFHdds0HLKDC9Th+zJgulVr3pVyp6mmLdxXG4X21EEp6Jb6G0rlp/dF5f/y27ozx+rnN33lD/SOy69i0sxoy5V6Ca9DUcdF3I7npZtceXB7DYrPgu6f7ohyhhdv++TUT7rZ6+jeF18thbrLIZ3/y0+g/bee+/uwWP1T8t4rEKamACBxgs4g7TATRxnirKnqOWXE3ziE59I2U2tPZcWZE/vydfY/eVV/JJ9cR12d5HiyGDxpVbs6Gc37+eTxG9KzO5ihyh+D2d2N9c6isuWiuXPnjdexxHA2JGLI4PFpV7d02U33KYXvehFKXtEa+cywu7xk+iPy6yizC9/+ctTXItffIHHuuJSkPiF+Oi6rfMBI/4XYTCuiQ//fpcsxpH5+XRxqUp0//Zv/9Z3MRGCIzxFPaMrLluM+1Vmd9nTqPL33ezhVXhdZpsYVO5xzQYtZ9zhZesQlyDGvRnxXonLbWObjd+J6r5PcCG3rTgoEJcJx29fRZc9bSxff5yliYMJ0cXv0FSlm/Q2HPVcqO14mrZxydrsszJRt/hNpOji0raim+9nfbGc2X/jHt04QxQhqN/nYVyO+q1vfSufLe5FKtNN07hMec1DgEBzBQSkBW7bCArRxQ56cUlUsYoIFtnjvTvji+GxgxSXXMSlIHGkt7uLS2JmB5e4dC8uI4uj0cUXUjHP2972tvy+meJ18Td+fDS6uHG7OzBEYIsfuh2ly373J58sdrRmX9Lxmte8JmW/gZGypyl1risfZZmzp4kduuhih3RYV1j/MPvRwe4uvOLei6Ke0RZlu+y3rvLLUrInOnWWF8uKy03Cej5d3LScPSY7vyclwlB3F2cB4yb/ODNWWMdlWdkjptPHP/7x/J6rYvpwiAdG9NuBKqbp/juOcfd8ZfuLdhpnmxhUxnHNypZ59nxl6lAso3gYQwSXeG8Wr4vx8Xehtq3YnrOnz+VnrbqXH/1x83x0cQa6Kl3hOsltOOq6ENvxuLaD3sNl7GPbyR7V3jNrHNiKz4cILfF5V3TjftaPU8747I/P1bhUvLjntFhv9oTW/OBY3Fs36KFGxbSD/o5rPGg5hhMgQGC+Ai6xm6/grPnjiHH26NUUv0IeT8eKe2NiWBw5jqdIxVG4ONpfXBdfzB47w9njs1NckhM7gfElF0/sihte44xRPB2u6OL+gOw3eVL220Lp//2//5fvHMcDA774xS921jH7Mru4cTt28mM5EbDi8r84wxI3jMfRvuJIZLGOfn/jyzEuFYoHCtz//vfPLxOKo5XZo8VTPGkt7qGIL+ziEo9+yxg2rPhyjzNCH/zgB9Mb3vCGnpt9u+cPp+wRzSl7jHJ+D0/2g6UpdrSiPNmj0PMzSpdddtkO1t3LGNYfOyVhFsEvvONpdhFEIgzOp56x3rDLHmub31T/pCc9KUUAiqfDxU5CnH3MHsec//p88TS7OBIe9Y3Lo6LuMW2c1Yv3WgTKCE/ZI7dzi7nqNY7xXMsZdVyZbSLmifub4kzIox71qPyysNe97nVjm41axmHTlalDscxjjz02PwASD2mJNo+2m90t1LYV2028R+IsYzyJL/sx5vzsb3yWxOdDnLmK8lSlW4xtOOq6ENvxuLb9trP4/C/TxX2l2eO285AbbRoH3+JgW5y1Oe200/IDZsVyx/2sH7StFcvr/nviiSfmB2jizF9cqhmfhxGw4sBevMfieyE+K8t24xqXXY/5CBAgMFQgO6LZ+i573Gr+Wwyzfw9lEEzxWxbZdd99J8mO1M7E77dk+J1/8SN5b37zm/Pf68meQpb/TlJ2mUJn/uxI6kx2tij/EdZivvido+ypZDPZ0eV8OcVvRRQzxe+pZE/96fySeXYkcWb9+vWdH+CL34zp7rLLfGay6/E7Zcrui5rJjjx2fsS0+zeJBv2WRvxI4Z/+6Z/mP4JZlDP+Zpd/zWT3x3SvrvNDsf1+Kyp+WDTmi98n6e6y4JgvKwsf+fgzzjije/QO/Vkgm8luGu7UKdupnskua8x/NDZ+uyjWkd3v0Zmv+B2kccoUv4UTTtnOTb68KFv8gGnxe1RlfwepKFQWcGYOP/zw/D1RmGYPD5jJ7l+bue2224rJOn+zSyjzHzPNdnZnsmv9Z7IdpvxHZovfeskCXWfafr9lMsh49rTFb5hkO3qd5RU92c5QbhG/rTO7ix9OjnpkIbIzqsw2Eb+JEu/pWFbUtbsb16x73uifq24xPgsR+Xrjt6eKrkwdinmLbTg7EFIM2uHvONvWDjN3DchC5Ux2FD8vf/F+ys5S57/Lkz2JsjNldmYynybbQe4Mm8tlnDbvt+x+v4MUKx5nGx722dupSJ+ecbbjfuWPRY5qG9P2287mKn+/dWYHY/I2yg7+zGQHs3p+CDw+j7IDKbGqHbpxPutj5n7b2uzPg2Il8R6J74csGHXeY/vvv3/+G1vd76+Yfq73U4zPHiSSLyM+S4tuHONiHn8JECCw0AJLYoHZl6huAgJxlijOaGRfHvkZoVFWEZctxBmEeCTwqEcb40zDVVddlZ9pGeWpYlGuOAJ5n/vcp++jY0cpZ7xtom5x5uKu2cMG4pK/hezifqx4fHcsd9iZmrj8JM4UxfRxQ3ZcsjiJLuqc/bBlfkZwrqd8lV13HA2Oew3WrFmTH+mPM0bdXTyBaq72jTOXcZ9LnBnsvh+rexnd/eMYd883n/5xt4kwj3vA4gh6cSlQ9/qHmXVPu1D949Zh3PUu1LYVnwtxWV2c2Y17VPo9qn7csk1q+sXahqP8C7Edj2O7kNtZlD0+I2Jb6L6PbVC7jPNZP2xbm72OuNTu+9//fv75HD8xsNDdOMYLvW7LI0CAgIDkPUCgJgJxGUvcxxL3sLzlLW/pKXXc3xaP0Y7gFpdXDguVPTN7QYAAAQIECBAg0BFwD1KHQg+BagvEvWhxxuSUU07Jb4KO37mJG7Tj0d/xkIwtW7akuEdAOKp2OyodAQIECBAgUG0BZ5Cq3T5KR6BHIH5H6znPeU7nyXbdI+OBFrOfdNU9Xj8BAgQIECBAgMBwAQFpuJEpCFRKILsROn+SVNxrFPeVxNPs4v6jeGS4jgABAgQIECBAYH4CAtL8/MxNgAABAgQIECBAgECDBPxQbIMaU1UIECBAgAABAgQIEJifgIA0Pz9zEyBAgAABAgQIECDQIAEBqUGNqSoECBAgQIAAAQIECMxPQECan5+5CRAgQIAAAQIECBBokICA1KDGVBUCBAgQIECAAAECBOYnICDNz8/cBAgQIECAAAECBAg0SEBAalBjqgoBAgQIECBAgAABAvMTEJDm52duAgQIECBAgAABAgQaJLCsQXUpVZWrr7661HxVnGm//fZLGzduTNdff30Vi6dMYwqsWLEi7bzzzunmm28ec06TV1FgzZo1adddd03XXXdd2rRpUxWLqExjCqxduzb/vN22bduYc5q8igL77rtv2rx5c76NVrF8yjSeQHx/rly5Mt10003jzWjqSgqsXr067bbbbvlnbuzrlu2WLl2a9tlnn6GzO4M0lMgEBAgQIECAAAECBAi0RUBAaktLqycBAgQIECBAgAABAkMFBKShRCYgQIAAAQIECBAgQKAtAgJSW1paPQkQIECAAAECBAgQGCogIA0lMgEBAgQIECBAgAABAm0REJDa0tLqSYAAAQIECBAgQIDAUAEBaSiRCQgQIECAAAECBAgQaIuAgNSWllZPAgQIECBAgAABAgSGCghIQ4lMQIAAAQIECBAgQIBAWwQEpLa0tHoSIECAAAECBAgQIDBUQEAaSmQCAgQIECBAgAABAgTaIiAgtaWl1ZMAAQIECBAgQIAAgaECAtJQIhMQIECAAAECBAgQINAWAQGpLS2tngQIECBAgAABAgQIDBUQkIYSmYAAAQIECBAgQIAAgbYICEhtaWn1JECAAAECBAgQIEBgqICANJTIBAQIECBAgAABAgQItEVAQGpLS6snAQIECBAgQIAAAQJDBQSkoUQmIECAAAECBAgQIECgLQICUltaWj0JECBAgAABAgQIEBgqICANJTIBAQIECBAgQIAAAQJtERCQ2tLS6kmAAAECBAgQIECAwFABAWkokQkIECBAgAABAgQIEGiLgIDUlpZWTwIECBAgQIAAAQIEhgoISEOJTECAAAECBAgQIECAQFsEBKS2tLR6EiBAgAABAgQIECAwVEBAGkpkAgIECBAgQIAAAQIE2iIgILWlpdWTAAECBAgQIECAAIGhAgLSUCITECBAgAABAgQIECDQFgEBqS0trZ4ECBAgQIAAAQIECAwVEJCGEpmAAAECBAgQIECAAIG2CAhIbWlp9SRAgAABAgQIECBAYKiAgDSUyAQECBAgQIAAAQIECLRFYFlbKqqeowusW7du9IknPOX69esnvAaLJ0CAAAECBAgQILBdwBmk7Rb6CBAgQIAAAQIECBBouYCA1PI3gOoTIECAAAECBAgQILBdQEDabqGPAAECBAgQIECAAIGWCwhILX8DqD4BAgQIECBAgAABAtsFBKTtFvoIECBAgAABAgQIEGi5gIDU8jeA6hMgQIAAAQIECBAgsF1AQNpuoY8AAQIECBAgQIAAgZYLCEgtfwOoPgECBAgQIECAAAEC2wUEpO0W+ggQIECAAAECBAgQaLmAgNTyN4DqEyBAgAABAgQIECCwXUBA2m6hjwABAgQIECBAgACBlgsISC1/A6g+AQIECBAgQIAAAQLbBQSk7Rb6CBAgQIAAAQIECBBouYCA1PI3gOoTIECAAAECBAgQILBdQEDabqGPAAECBAgQIECAAIGWCwhILX8DqD4BAgQIECBAgAABAtsFBKTtFvoIECBAgAABAgQIEGi5gIDU8jeA6hMgQIAAAQIECBAgsF1AQNpuoY8AAQIECBAgQIAAgZYLCEgtfwOoPgECBAgQIECAAAEC2wUEpO0W+ggQIECAAAECBAgQaLmAgNTyN4DqEyBAgAABAgQIECCwXUBA2m6hjwABAgQIECBAgACBlgsISC1/A6g+AQIECBAgQIAAAQLbBQSk7Rb6CBAgQIAAAQIECBBouYCA1PI3gOoTIECAAAECBAgQILBdQEDabqGPAAECBAgQIECAAIGWCyxref3TPvvs0yiCnXfeuVF1alr7jPtmW7JkSVqxYsW4s5m+ggLRltHtscceFSydIpUR2GmnndLatWvLzGqeigosX768Ud+hFWVetGLF5+4uu+yyaOuzoskJFN+hu++++7xWsnnz5pHmb31Auvbaa0eCqsNE++23X9q0aVO6/vrr61DckcrYpPYZqcJdE0UwisB78803dw3VW1eBNWvWpF133TXdeOON+XZa13oo93aBCEfxebtt27btA/XVVmDfffdNsfN03XXX1bYOCr5dIL4/V65cmW666abtA/XVVmD16tVpt912y9tz48aNpeuxdOnSkQ48u8SuNLEZCRAgQIAAAQIECBBomoCA1LQWVR8CBAgQIECAAAECBEoLCEil6cxIgAABAgQIECBAgEDTBASkprWo+hAgQIAAAQIECBAgUFpAQCpNZ0YCBAgQIECAAAECBJomICA1rUXVhwABAgQIECBAgACB0gICUmk6MxIgQIAAAQIECBAg0DQBAalpLao+BAgQIECAAAECBAiUFhCQStOZkQABAgQIECBAgACBpgkISE1rUfUhQIAAAQIECBAgQKC0gIBUms6MBAgQIECAAAECBAg0TUBAalqLqg8BAgQIECBAgAABAqUFBKTSdGYkQIAAAQIECBAgQKBpAgJS01pUfQgQIECAAAECBAgQKC0gIJWmMyMBAgQIECBAgAABAk0TEJCa1qLqQ4AAAQIECBAgQIBAaQEBqTSdGQkQIECAAAECBAgQaJqAgNS0FlUfAgQIECBAgAABAgRKCwhIpenMSIAAAQIECBAgQIBA0wQEpKa1qPoQIECAAAECBAgQIFBaQEAqTWdGAgQIECBAgAABAgSaJiAgNa1F1YcAAQIECBAgQIAAgdICAlJpOjMSIECAAAECBAgQINA0AQGpaS2qPgQIECBAgAABAgQIlBYQkErTmZEAAQIECBAgQIAAgaYJCEhNa1H1IUCAAAECBAgQIECgtICAVJrOjAQIECBAgAABAgQINE1AQGpai6oPAQIECBAgQIAAAQKlBQSk0nRmJECAAAECBAgQIECgaQICUtNaVH0IECBAgAABAgQIECgtICCVpjMjAQIECBAgQIAAAQJNExCQmtai6kOAAAECBAgQIECAQGkBAak0nRkJECBAgAABAgQIEGiagIDUtBZVHwIECBAgQIAAAQIESgsISKXpzEiAAAECBAgQIECAQNMEBKSmtaj6ECBAgAABAgQIECBQWkBAKk1nRgIECBAgQIAAAQIEmiYgIDWtRdWHAAECBAgQIECAAIHSAgJSaTozEiBAgAABAgQIECDQNAEBqWktqj4ECBAgQIAAAQIECJQWEJBK05mRAAECBAgQIECAAIGmCQhITWtR9SFAgAABAgQIECBAoLSAgFSazowECBAgQIAAAQIECDRNQEBqWouqDwECBAgQIECAAAECpQUEpNJ0ZiRAgAABAgQIECBAoGkCAlLTWlR9CBAgQIAAAQIECBAoLSAglaYzIwECBAgQIECAAAECTRMQkJrWoupDgAABAgQIECBAgEBpAQGpNJ0ZCRAgQIAAAQIECBBomoCA1LQWVR8CBAgQIECAAAECBEoLCEil6cxIgAABAgQIECBAgEDTBASkprWo+hAgQIAAAQIECBAgUFpAQCpNZ0YCBAgQIECAAAECBJomICA1rUXVhwABAgQIECBAgACB0gICUmk6MxIgQIAAAQIECBAg0DQBAalpLao+BAgQIECAAAECBAiUFhCQStOZkQABAgQIECBAgACBpgkISE1rUfUhQIAAAQIECBAgQKC0gIBUms6MBAgQIECAAAECBAg0TUBAalqLqg8BAgQIECBAgAABAqUFBKTSdGYkQIAAAQIECBAgQKBpAgJS01pUfQgQIECAAAECBAgQKC0gIJWmMyMBAgQIECBAgAABAk0TEJCa1qLqQ4AAAQIECBAgQIBAaQEBqTSdGQkQIECAAAECBAgQaJqAgNS0FlUfAgQIECBAgAABAgRKCwhIpenMSIAAAQIECBAgQIBA0wQEpKa1qPoQIECAAAECBAgQIFBaQEAqTWdGAgQIECBAgAABAgSaJiAgNa1F1YcAAQIECBAgQIAAgdICAlJpOjMSIECAAAECBAgQINA0AQGpaS2qPgQIECBAgAABAgQIlBYQkErTmZEAAQIECBAgQIAAgaYJCEhNa1H1IUCAAAECBAgQIECgtICAVJrOjAQIECBAgAABAgQINE1AQGpai6oPAQIECBAgQIAAAQKlBQSk0nRmJECAAAECBAgQIECgaQICUtNaVH0IECBAgAABAgQIECgtICCVpjMjAQIECBAgQIAAAQJNExCQmtai6kOAAAECBAgQIECAQGkBAak0nRkJECBAgAABAgQIEGiagIDUtBZVHwIECBAgQIAAAQIESgsISKXpzEiAAAECBAgQIECAQNMEBKSmtaj6ECBAgAABAgQIECBQWkBAKk1nRgIECBAgQIAAAQIEmiYgIDWtRdWHAAECBAgQIECAAIHSAgJSaTozEiBAgAABAgQIECDQNAEBqWktqj4ECBAgQIAAAQIECJQWEJBK05mRAAECBAgQIECAAIGmCQhITWtR9SFAgAABAgQIECBAoLSAgFSazowECBAgQIAAAQIECDRNQEBqWouqDwECBAgQIECAAAECpQUEpNJ0ZiRAgAABAgQIECBAoGkCAlLTWlR9CBAgQIAAAQIECBAoLSAglaYzIwECBAgQIECAAAECTRMQkJrWoupDgAABAgQIECBAgEBpAQGpNJ0ZCRAgQIAAAQIECBBomoCA1LQWVR8CBAgQIECAAAECBEoLCEil6cxIgAABAgQIECBAgEDTBASkprWo+hAgQIAAAQIECBAgUFpAQCpNZ0YCBAgQIECAAAECBJomICA1rUXVhwABAgQIECBAgACB0gICUmk6MxIgQIAAAQIECBAg0DQBAalpLao+BAgQIECAAAECBAiUFhCQStOZkQABAgQIECBAgACBpgkISE1rUfUhQIAAAQIECBAgQKC0gIBUms6MBAgQIECAAAECBAg0TUBAalqLqg8BAgQIECBAgAABAqUFBKTSdGYkQIAAAQIECBAgQKBpAgJS01pUfQgQIECAAAECBAgQKC0gIJWmMyMBAgQIECBAgAABAk0TEJCa1qLqQ4AAAQIECBAgQIBAaQEBqTSdGQkQIECAAAECBAgQaJqAgNS0FlUfAgQIECBAgAABAgRKCwhIpenMSIAAAQIECBAgQIBA0wQEpKa1qPoQIECAAAECBAgQIFBaQEAqTWdGAgQIECBAgAABAgSaJiAgNa1F1YcAAQIECBAgQIAAgdICAlJpOjMSIECAAAECBAgQINA0AQGpaS2qPgQIECBAgAABAgQIlBYQkErTmZEAAQIECBAgQIAAgaYJCEhNa1H1IUCAAAECBAgQIECgtICAVJrOjAQIECBAgAABAgQINE1AQGpai6oPAQIECBAgQIAAAQKlBZaVnnMBZ7zqqqvSV7/61bR06dL00Ic+NO2///49S7/lllvSueeem+LvkUcemQ466KCxxvdM7AUBAgQIECBAgAABAgQGCEz9DNKrXvWqdNxxx6Xvfve76TOf+Ux65jOfmb7+9a93inv55ZenY489Np199tnpwgsvTMcff3w677zzRh7fmVAPAQIECBAgQIAAAQIEhghM9QzSpZdemr7yla+ks846K+2zzz55UV/72tem0047LT3kIQ/JX5988snpmGOOSSeccEJasmRJOuOMM9Kpp56azjzzzPz1sPFD6m80AQIECBAgQIAAAQIEOgJTDUg33HBDevazn90JR1Gq+9///umcc85JMzMz6frrr0+XXHJJOvHEE/MwFOOPPvro9L73vS9dfPHFad99951z/GGHHRazdLqf/exnnf7oWblyZdppp6mfROsp03xfRIhsUp2aVJdx2zbaMro2G4xrVuXpu9tTm1a5pcYrm7Ycz6vqUzftO7Tq3pMsX/dn7iTXY9mLI9DdnvP53C2WM6zUUw1ID37wg1P86+6++MUvpnvd6155ILrmmmvyUd33JO21115p5513Ttdee21ntkHjuwPS5s2b08Me9rDOPNETl+u9/OUv7xlW9xdhc+c737nu1eiUv0l16VRqzJ7Vq1ePOYfJqyyw5557Vrl4yjamwN577z3mHCavssDy5csb9R1aZevFKtuqVasWa1XWswgCe+yxx7zWsmnTppHmn2pAml3Cj33sY+mCCy5I73nPe/JRV199ddpll13yf93T7rrrrinOPm3dunXO8d3zRNp89KMf3T0oHXrooemOO+7oGVbnFytWrEjbtm1LozZ+HerapPYZ1zves/Fvy5Yt485q+goKLFu2LMW/2D5jO9XVXyAOSDXp87b+LTK/GsT+Rly9ok3n51iVuX2HVqUlFqYc8SC3OIAx3+/QyA7x2T2sq0xA+sAHPpA+8pGPpDe84Q3pHve4R17ugOi3cxiViyMCw8Z3Vz5g3/Wud3UPyvsjhDWl22+//VKcKYvw2JSuSXUZt00i8MZGfPPNN487q+krKLBmzZoUB3fiaZx2wCrYQCWKtHbt2nTTTTcJvCXsqjhLXLYf+xxt/t6pYruULVN8f8atFLGN6uovEFfTxH7/rbfemjZu3Fi6QpEHRrkyZ+oBKY6kvv3tb09f+MIX0tve9rb8HqSi1vHlE2Fow4YNeSAqhscOY4SBOBo71/hien8JECBAgAABAgQIECAwisDUn1Dwute9Ln+s9+mnn94TjqLwBxxwQB6CLrrook5d4qENEarivqNh4zsz6SFAgAABAgQIECBAgMAIAlMNSJ/97GfzM0fxO0hx2Uncf1T8izNDu+++e3rMYx6T1q9fn59Si/tR4gl2Rx11VIobY4eNH6H+JiFAgAABAgQIECBAgEBHYKqX2MWPv0b31re+tVOgoufzn/98flndC17wghS/jfSEJzwhfyDD/e53v/SSl7ykmCwNG9+ZUA8BAgQIECBAgAABAgSGCEw1IL3//e8fUryU4pG473jHO/Ib1fvdWDVs/NAVmIAAAQIECBAgQIAAAQI/F5hqQBqnFXbbbbc5Jx82fs6ZjSRAgAABAgQIECBAgEAmMNV7kLQAAQIECBAgQIAAAQIEqiQgIFWpNZSFAAECBAgQIECAAIGpCghIU+W3cgIECBAgQIAAAQIEqiQgIFWpNZSFAAECBAgQIECAAIGpCghIU+W3cgIECBAgQIAAAQIEqiQgIFWpNZSFAAECBAgQIECAAIGpCghIU+W3cgIECBAgQIAAAQIEqiQgIFWpNZSFAAECBAgQIECAAIGpCghIU+W3cgIECBAgQIAAAQIEqiQgIFWpNZSFAAECBAgQIECAAIGpCghIU+W3cgIECBAgQIAAAQIEqiQgIFWpNZSFAAECBAgQIECAAIGpCghIU+W3cgIECBAgQIAAAQIEqiQgIFWpNZSFAAECBAgQIECAAIGpCghIU+W3cgIECBAgQIAAAQIEqiQgIFWpNZSFAAECBAgQIECAAIGpCghIU+W3cgIECBAgQIAAAQIEqiQgIFWpNZSFAAECBAgQIECAAIGpCghIU+W3cgIECBAgQIAAAQIEqiQgIFWpNZSFAAECBAgQIECAAIGpCghIU+W3cgIECBAgQIAAAQIEqiQgIFWpNZSFAAECBAgQIECAAIGpCghIU+W3cgIECBAgQIAAAQIEqiQgIFWpNZSFAAECBAgQIECAAIGpCghIU+W3cgIECBAgQIAAAQIEqiQgIFWpNZSFAAECBAgQIECAAIGpCghIU+W3cgIECBAgQIAAAQIEqiQgIFWpNZSFAAECBAgQIECAAIGpCghIU+W3cgIECBAgQIAAAQIEqiQgIFWpNZSFAAECBAgQIECAAIGpCghIU+W3cgIECBAgQIAAAQIEqiQgIFWpNZSFAAECBAgQIECAAIGpCghIU+W3cgIECBAgQIAAAQIEqiQgIFWpNZSFAAECBAgQIECAAIGpCghIU+W3cgIECBAgQIAAAQIEqiQgIFWpNZSFAAECBAgQIECAAIGpCghIU+W3cgIECBAgQIAAAQIEqiQgIFWpNZSFAAECBAgQIECAAIGpCghIU+W3cgIECBAgQIAAAQIEqiQgIFWpNZSFAAECBAgQIECAAIGpCghIU+W3cgIECBAgQIAAAQIEqiQgIFWpNZSFAAECBAgQIECAAIGpCghIU+W3cgIECBAgQIAAAQIEqiQgIFWpNZSFAAECBAgQIECAAIGpCghIU+W3cgIECBAgQIAAAQIEqiQgIFWpNZSFAAECBAgQIECAAIGpCghIU+W3cgIECBAgQIAAAQIEqiQgIFWpNZSFAAECBAgQIECAAIGpCghIU+W3cgIECBAgQIAAAQIEqiQgIFWpNZSFAAECBAgQIECAAIGpCghIU+W3cgIECBAgQIAAAQIEqiQgIFWpNZSFAAECBAgQIECAAIGpCghIU+W3cgIECBAgQIAAAQIEqiQgIFWpNZSFAAECBAgQIECAAIGpCghIU+W3cgIECBAgQIAAAQIEqiQgIFWpNZSFAAECBAgQIECAAIGpCghIU+W3cgIECBAgQIAAAQIEqiQgIFWpNZSFAAECBAgQIECAAIGpCghIU+W3cgIECBAgQIAAAQIEqiQgIFWpNZSFAAECBAgQIECAAIGpCghIU+W3cgIECBAgQIAAAQIEqiQgIFWpNZSFAAECBAgQIECAAIGpCghIU+W3cgIECBAgQIAAAQIEqiQgIFWpNZSFAAECBAgQIECAAIGpCghIU+W3cgIECBAgQIAAAQIEqiQgIFWpNZSFAAECBAgQIECAAIGpCghIU+W3cgIECBAgQIAAAQIEqiQgIFWpNZSFAAECBAgQIECAAIGpCghIU+W3cgIECBAgQIAAAQIEqiQgIFWpNZSFAAECBAgQIECAAIGpCghIU+W3cgIECBAgQIAAAQIEqiQgIFWpNZSFAAECBAgQIECAAIGpCghIU+W3cgIECBAgQIAAAQIEqiQgIFWpNZSFAAECBAgQIECAAIGpCghIU+W3cgIECBAgQIAAAQIEqiQgIFWpNZSFAAECBAgQIECAAIGpCghIU+W3cgIECBAgQIAAAQIEqiQgIFWpNZSFAAECBAgQIECAAIGpCghIU+W3cgIECBAgQIAAAQIEqiQgIFWpNZSFAAECBAgQIECAAIGpCghIU+W3cgIECBAgQIAAAQIEqiQgIFWpNZSFAAECBAgQIECAAIGpCghIU+W3cgIECBAgQIAAAQIEqiQgIFWpNZSFAAECBAgQIECAAIGpCghIU+W3cgIECBAgQIAAAQIEqiQgIFWpNZSFAAECBAgQIECAAIGpCghIU+W3cgIECBAgQIAAAQIEqiQgIFWpNZSFAAECBAgQIECAAIGpCghIU+W3cgIECBAgQIAAAQIEqiQgIFWpNZSFAAECBAgQIECAAIGpCghIU+W3cgIECBAgQIAAAQIEqiQgIFWpNZSFAAECBAgQIECAAIGpCghIU+W3cgIECBAgQIAAAQIEqiQgIFWpNZSFAAECBAgQIECAAIGpCghIU+W3cgIECBAgQIAAAQIEqiQgIFWpNZSFAAECBAgQIECAAIGpCghIU+W3cgIECBAgQIAAAQIEqiQgIFWpNZSFAAECBAgQIECAAIGpCghIU+W3cgIECBAgQIAAAQIEqiQgIFWpNZSFAAECBAgQIECAAIGpCghIU+W3cgIECBAgQIAAAQIEqiQgIFWpNZSFAAECBAgQIECAAIGpCghIU+W3cgIECBAgQIAAAQIEqiQgIFWpNZSFAAECBAgQIECAAIGpCghIU+W3cgIECBAgQIAAAQIEqiQgIFWpNZSFAAECBAgQIECAAIGpCghIU+W3cgIECBAgQIAAAQIEqiQgIFWpNZSFAAECBAgQIECAAIGpCghIU+W3cgIECBAgQIAAAQIEqiQgIFWpNZSFAAECBAgQIECAAIGpCghIU+W3cgIECBAgQIAAAQIEqiQgIFWpNZSFAAECBAgQIECAAIGpCghIU+W3cgIECBAgQIAAAQIEqiQgIFWpNZSFAAECBAgQIECAAIGpCghIU+W3cgIECBAgQIAAAQIEqiQgIFWpNZSFAAECBAgQIECAAIGpCghIU+W3cgIECBAgQIAAAQIEqiQgIFWpNZSFAAECBAgQIECAAIGpCghIU+W3cgIECBAgQIAAAQIEqiQgIFWpNZSFAAECBAgQIECAAIGpCghIU+W3cgIECBAgQIAAAQIEqiSwrEqFmUZZdtlll2msdmLr3GmnnVKT6tSkuozb6MuWLUtLly5tVHuOa9Ck6aM9o1u+fHlasmRJk6rW2rpEO+68885pZmamtQZNq3jTvkOb1j7j1Md36Dha1Z+2+zt0PqUd9ftXQBKQ5vM+m/i8bQ5IEY4EpIm/xRZtBdGW0cUOddG/aCu3ookIFAFpIgu30KkIRJu2+XtnKugTWml8zgq8E8KdwmK7A1K0a9lu27ZtI83a+oB08803jwRVh4lWr16dtmzZkppUpybVZdz30IoVK/Kd6TYbjGtW5enXrFmTt+dtt92WNm3aVOWiKtuIAhF2b7311jTqF+6IizXZlARWrVqVtm7d2qjv0ClRVmK1sX2uXLlSe1aiNeZfiNjHjTbdsGFD2rhxY+kFRnDeddddh85fPoINXbQJCBAgQIAAAQIECBAgUC8BAale7aW0BAgQIECAAAECBAhMUEBAmiCuRRMgQIAAAQIECBAgUC8BAale7aW0BAgQIECAAAECBAhMUEBAmiCuRRMgQIAAAQIECBAgUC8BAale7aW0BAgQIECAAAECBAhMUEBAmiCuRRMgQIAAAQIECBAgUC8BAale7aW0BAgQIECAAAECBAhMUEBAmiCuRRMgQIAAAQIECBAgUC8BAale7aW0BAgQIECAAAECBAhMUEBAmiCuRRMgQIAAAQIECBAgUC+BZfUqrtK2TWDdunWVqfL69esrUxYFIUCAAAECBAgQmIyAM0iTcbVUAgQIECBAgAABAgRqKCAg1bDRFJkAAQIECBAgQIAAgckICEiTcbVUAgQIECBAgAABAgRqKCAg1bDRFJkAAQIECBAgQIAAgckICEiTcbVUAgQIECBAgAABAgRqKCAg1bDRFJkAAQIECBAgQIAAgckICEiTcbVUAgQIECBAgAABAgRqKCAg1bDRFJkAAQIECBAgQIAAgckICEiTcbVUAgQIECBAgAABAgRqKCAg1bDRFJkAAQIECBAgQIAAgckICEiTcbVUAgQIECBAgAABAgRqKCAg1bDRFJkAAQIECBAgQIAAgckICEiTcbVUAgQIECBAgAABAgRqKDB2QPrQhz6UXvaylw2s6ic/+cl08MEHp9tvv33gNEYQIECAAAECBAgQIECgigLLRinUT3/607Rp06Z80m9/+9vpG9/4Rvrxj3+8w6wxzWc+85l05ZVXpjvuuCOtXLlyh2kMIECAAAECBAgQIECAQFUFRgpI69evTy9/+ct76nDAAQf0vO5+cfjhh6c999yze5B+AgQIECBAgAABAgQIVF5gpID00pe+NG3ZsiVt3rw5felLX0pXXHFFOu6443ao3LJly/Jg9OQnP3mHcQYQIECAAAECBAgQIECg6gIjBaTly5enk046Ka/LPe95z3TxxRenV7/61VWvm/IRIECAAAECBAgQIEBgLIGRAlL3Ep/61Kd2v9RPgAABAgQIECBAgACBxgiMHZCi5p/4xCfS29/+9vxSu3ha3czMzA4gN9xwww7DDCBAgAABAgQIECBAgECVBcYOSF/72tdSnEWKJ9Td7373S/vss09asmRJleuobAQIECBAgAABAgQIEBhJYOyAdNZZZ6UVK1ak888/P9397ncfaSUmIkCAAAECBAgQIECAQB0Exv6h2KuvvjodccQRwlEdWlcZCRAgQIAAAQIECBAYS2DsgBThKM4ebdiwYawVmZgAAQIECBAgQIAAAQJVFxg7IMXvH+2///7pNa95Tdq0aVPV66d8BAgQIECAAAECBAgQGFlg7HuQ4odi99577/TWt741nXbaaemAAw5Iq1ev3mGFF1xwwQ7DDCBAgAABAgQIECBAgECVBcYOSPH47o0bN6YHPvCBVa6XshEgQIAAAQIECBAgQGBsgbED0vOe97wU/3QECBAgQIAAAQIECBBomsDY9yA1DUB9CBAgQIAAAQIECBAgUAiMfQbplFNOSe985zuL+Qf+veKKKwaOM4IAAQIECBAgQIAAAQJVFBg7IK1duzYdeuihPXXZunVruvLKK1OEoj333DM9/elP7xnvBQECBAgQIECAAAECBOogMHZAetaznpXiX7/usssuS4997GPTfvvt12+0YQQIECBAgAABAgQIEKi0wILeg3S3u90tvfKVr0yvf/3rU5xV0hEgQIAAAQIECBAgQKBOAgsakKLiBx54YLrlllvS9773vTo5KCsBAgQIECBAgAABAgTSggakDRs2pHe/+91p6dKl6aCDDsJLgAABAgQIECBAgACBWgmMfQ/Se9/73vT+979/h0pu3rw5f0jDddddl4477ri0atWqHaYxgAABAgQIECBAgAABAlUWGDsgbdq0Kd1222071CnOGt3nPveLZ+iBAAA89UlEQVTJH9Jwwgkn7DDeAAIECBAgQIAAAQIECFRdYOyA9OIXvzjFPx0BAgQIECBAgAABAgSaJrCg9yA1DUd9CBAgQIAAAQIECBBol8DYZ5AKni1btqRzzjknXXrppSnuPzr88MPzf3vssUcxib8ECBAgQIAAAQIECBColUCpgPStb30rfxDDhRdeuENl3/jGN6YTTzxxh+EGECBAgAABAgQIECBAoOoCYwekG2+8MR177LEpziCdcsop6cgjj0xr1qxJP/zhD9MHPvCBdNJJJ6UVK1akl770pVWvu/IRIECAAAECBAgQIECgR2DsgBSP+Y6QdP7556dDDz20s7D73ve+6ZhjjknPf/7z0+mnny4gdWT0ECBAgAABAgQIECBQF4GxH9JwwQUXpEc84hE94ai7ss973vPS9773vXTVVVd1D9ZPgAABAgQIECBAgACByguMHZDi947it5AGdcW4rVu3DprEcAIECBAgQIAAAQIECFRSYOyAdMQRR6Qvf/nL6Rvf+MYOFZqZmUlvectb0tq1a9OBBx64w3gDCBAgQIAAAQIECBAgUGWBse9Bes5znpM/nCEus3vuc5+bHvSgB6Xddtstf0jDBz/4wfzepHhYg44AAQIECBAgQIAAAQJ1Exg7IK1cuTKde+656dnPfnY67bTTeuq75557pne9611p3bp1PcO9IECAAAECBAgQIECAQB0Exg5IUan9998/ffazn00/+tGP0iWXXJKuu+66dMghh6R73ete+SO/61BxZSRAgAABAgQIECBAgMBsgbECUtxj9JOf/CTtu++++XIOOOCAFP8iKP3gBz8Qjmbrek2AAAECBAgQIECAQK0ERn5IQzyY4d73vnc64YQTdqjgpz71qfzR3/FbSN/97nd3GG8AAQIECBAgQIAAAQIE6iAwUkD6yle+ko466qj0ne98J93pTnfaoV4PfehD03HHHZcuuuiiFP1xNklHgAABAgQIECBAgACBugmMFJBe+tKXptWrV6dPf/rT6fTTT9+hjve///3T+vXr8/E33nhjOumkk3aYxgACBAgQIECAAAECBAhUXWBoQLr00kvzR3c/4xnPSI9//OPnrM/jHve4/EzSJz7xiTl/THbOhRhJgAABAgQIECBAgACBKQkMDUjF5XJHH330SEV81KMelbZu3eoyu5G0TESAAAECBAgQIECAQJUEhgak4ol1t99++0jlLqZbsmTJSNObiAABAgQIECBAgAABAlURGBqQDj/88LTHHnvkv3s0SqE///nPpwhHBx544CiTm4YAAQIECBAgQIAAAQKVERgakHbaaaf08Ic/PH3yk59Ml1122ZwF/9rXvpYHqUc/+tH5Qx3mnNhIAgQIECBAgAABAgQIVExgaECK8v7FX/xF2rx5c4qn1X30ox/N+7vrEU+ui6fbPfKRj0zLly9Pr3/967tH6ydAgAABAgQIECBAgEAtBEYKSHGZ3TnnnJNWrVqVnv70p+d/40djIxDd5S53SXvuuWd60YtelA499ND0zW9+Mz3oQQ+qReUVkgABAgQIECBAgAABAt0Cy7pfzNV/2GGHpa9//evp4x//eP73vPPOy3849pBDDklPecpT0hFHHJFe+MIXpjVr1sy1GOMIECBAgAABAgQIECBQWYGRA1LU4K53vWt62cte1qlMPLFu5cqVndd6CBAgQIAAAQIECBAgUGeBkS6xG1RB4WiQjOEECBAgQIAAAQIECNRRYF4BqY4VVmYCBAgQIECAAAECBAgMEhCQBskYToAAAQIECBAgQIBA6wQEpNY1uQoTIECAAAECBAgQIDBIQEAaJGM4AQIECBAgQIAAAQKtExCQWtfkKkyAAAECBAgQIECAwCABAWmQjOEECBAgQIAAAQIECLROQEBqXZOrMAECBAgQIECAAAECgwQEpEEyhhMgQIAAAQIECBAg0DoBAal1Ta7CBAgQIECAAAECBAgMEhCQBskYToAAAQIECBAgQIBA6wQEpNY1uQoTIECAAAECBAgQIDBIQEAaJGM4AQIECBAgQIAAAQKtExCQWtfkKkyAAAECBAgQIECAwCABAWmQjOEECBAgQIAAAQIECLROQEBqXZOrMAECBAgQIECAAAECgwQEpEEyhhMgQIAAAQIECBAg0DoBAal1Ta7CBAgQIECAAAECBAgMEhCQBskYToAAAQIECBAgQIBA6wQEpNY1uQoTIECAAAECBAgQIDBIQEAaJGM4AQIECBAgQIAAAQKtExCQWtfkKkyAAAECBAgQIECAwCABAWmQjOEECBAgQIAAAQIECLROQEBqXZOrMAECBAgQIECAAAECgwQEpEEyhhMgQIAAAQIECBAg0DoBAal1Ta7CBAgQIECAAAECBAgMEhCQBskYToAAAQIECBAgQIBA6wQEpNY1uQoTIECAAAECBAgQIDBIQEAaJGM4AQIECBAgQIAAAQKtExCQWtfkKkyAAAECBAgQIECAwCABAWmQjOEECBAgQIAAAQIECLROQEBqXZOrMAECBAgQIECAAAECgwQEpEEyhhMgQIAAAQIECBAg0DoBAal1Ta7CBAgQIECAAAECBAgMEhCQBskYToAAAQIECBAgQIBA6wQEpNY1uQoTIECAAAECBAgQIDBIQEAaJGM4AQIECBAgQIAAAQKtExCQWtfkKkyAAAECBAgQIECAwCABAWmQjOEECBAgQIAAAQIECLROQEBqXZOrMAECBAgQIECAAAECgwQEpEEyhhMgQIAAAQIECBAg0DoBAal1Ta7CBAgQIECAAAECBAgMEhCQBskYToAAAQIECBAgQIBA6wQEpNY1uQoTIECAAAECBAgQIDBIQEAaJGM4AQIECBAgQIAAAQKtExCQWtfkKkyAAAECBAgQIECAwCABAWmQjOEECBAgQIAAAQIECLROQEBqXZOrMAECBAgQIECAAAECgwQEpEEyhhMgQIAAAQIECBAg0DqBygSkrVu3pjPOOCPdfPPNOzTCLbfckj73uc+ls846K1155ZVjj99hBgMIECBAgAABAgQIECDQR6AyAend7353et/73pduvfXWnmJefvnl6dhjj01nn312uvDCC9Pxxx+fzjvvvM40w8Z3JtRDgAABAgQIECBAgACBIQLLhoyf+Oif/OQn6W1ve1s6//zz+67r5JNPTsccc0w64YQT0pIlS/KzTKeeemo688wz89fDxvddqIEECBAgQIAAAQIECBDoIzD1M0hvetOb0szMTHrzm9+8Q/Guu+66dMkll+RnkCIcRXf00Uenq666Kl188cVp2PgdFmgAAQIECBAgQIAAAQIE5hCY+hmkV7ziFenOd75zuuKKK3Yo5jXXXJMP23///Tvj9tprr7Tzzjuna6+9tjNs0PjDDjusM822bdvShz/84c7r6Inxd7/73XuG1f3F0qVL06pVq+pejUqWf7Fdly9fnrRnJd8KpQoV7RndihUr0rJlU//oLVUHM/UK7LTTTvnnbXy/6JohULRpM2rT7lrE52z8W+zv7narT672xXfoLrvsku8bTW5N/7fkqX9LRzga1F199dUpIOJfd7frrrumG264IcWDHeYa3z1PTPvGN76xe1B+P9MRRxzRM6zuL+LDYPfdd697NSpZ/mm5zn7/VxJHoUYWWL169cjTmrD6AvF9pGuOgO/Q5rRlUZM4qK5rjsB8v0M3bdo0EsbUA9JcpYy0uGXLlh0mibATRwSGje+eMT70TjnllO5B6ZBDDsmDVs/AGr/Yc8890+bNm3d40EWNq1SpokcoX8wu3t/xvr399tsXc7XWNSGBOHO0cuXKFE/l7Pe5NqHVWuwEBSIcxYOF4jJxXf0F9thjj/zAa2yjuvoLxPdnhKMNGzbUvzJqkJ8QiX3/+MyNfd35dKOE5koHpLVr1+YfVvHm7j5FGo8C32+//fKdxwhLg8Z348U9TI9//OO7B+X9cZaqSV1c6nHHHXc0qUqVqcs0XON9O431Vga9QQWJL+vo4ujVqEewGlT9RlZlzZo1aePGjcklds1pXt+hzWnL2AmOy9R9hzajTaMto4vvz/jcLdsVyxk2/9Qf0jBXAQ844IA8BF100UWdyeKhDfEBFvcdDRvfmUkPAQIECBAgQIAAAQIERhCodECKez4e85jHpPXr1+en1OIoQPxW0lFHHZX23nvv/F6bucaPUH+TECBAgAABAgQIECBAoCNQ6YAUpXzBC16QX0P6hCc8IT3xiU/Mzyi95CUv6VRg2PjOhHoIECBAgAABAgQIECAwRKAy9yAdfPDB6atf/eoOxY0HD7zjHe9Icd9RXDc4++kVw8bvsEADCBAgQIAAAQIECBAgMECgMgFpQPk6g3fbbbdOf7+eYeP7zWMYAQIECBAgQIAAAQIEugUqf4ldd2H1EyBAgAABAgQIECBAYJICAtIkdS2bAAECBAgQIECAAIFaCQhItWouhSVAgAABAgQIECBAYJICAtIkdS2bAAECBAgQIECAAIFaCQhItWouhSVAgAABAgQIECBAYJICAtIkdS2bAAECBAgQIECAAIFaCQhItWouhSVAgAABAgQIECBAYJICAtIkdS2bAAECBAgQIECAAIFaCQhItWouhSVAgAABAgQIECBAYJICAtIkdS2bAAECBAgQIECAAIFaCQhItWouhSVAgAABAgQIECBAYJICAtIkdS2bAAECBAgQIECAAIFaCQhItWouhSVAgAABAgQIECBAYJICAtIkdS2bAAECBAgQIECAAIFaCQhItWouhSVAgAABAgQIECBAYJICAtIkdS2bAAECBAgQIECAAIFaCQhItWouhSVAgAABAgQIECBAYJICAtIkdS2bAAECBAgQIECAAIFaCQhItWouhSVAgAABAgQIECBAYJICAtIkdS2bAAECBAgQIECAAIFaCQhItWouhSVAgAABAgQIECBAYJICAtIkdS2bAAECBAgQIECAAIFaCQhItWouhSVAgAABAgQIECBAYJICAtIkdS2bAAECBAgQIECAAIFaCQhItWouhSVAgAABAgQIECBAYJICAtIkdS2bAAECBAgQIECAAIFaCQhItWouhSVAgAABAgQIECBAYJICAtIkdS2bAAECBAgQIECAAIFaCQhItWouhSVAgAABAgQIECBAYJICAtIkdS2bAAECBAgQIECAAIFaCQhItWouhSVAgAABAgQIECBAYJICAtIkdS2bAAECBAgQIECAAIFaCQhItWouhSVAgAABAgQIECBAYJICAtIkdS2bAAECBAgQIECAAIFaCQhItWouhSVAgAABAgQIECBAYJICAtIkdS2bAAECBAgQIECAAIFaCQhItWouhSVAgAABAgQIECBAYJICAtIkdS2bAAECBAgQIECAAIFaCQhItWouhSVAgAABAgQIECBAYJICAtIkdS2bAAECBAgQIECAAIFaCQhItWouhSVAgAABAgQIECBAYJICAtIkdS2bAAECBAgQIECAAIFaCQhItWouhSVAgAABAgQIECBAYJICAtIkdS2bAAECBAgQIECAAIFaCQhItWouhSVAgAABAgQIECBAYJICAtIkdS2bAAECBAgQIECAAIFaCQhItWouhSVAgAABAgQIECBAYJICAtIkdS2bAAECBAgQIECAAIFaCQhItWouhSVAgAABAgQIECBAYJICAtIkdS2bAAECBAgQIECAAIFaCQhItWouhSVAgAABAgQIECBAYJICAtIkdS2bAAECBAgQIECAAIFaCQhItWouhSVAgAABAgQIECBAYJICAtIkdS2bAAECBAgQIECAAIFaCQhItWouhSVAgAABAgQIECBAYJICAtIkdS2bAAECBAgQIECAAIFaCQhItWouhSVAgAABAgQIECBAYJICAtIkdS2bAAECBAgQIECAAIFaCQhItWouhSVAgAABAgQIECBAYJICAtIkdS2bAAECBAgQIECAAIFaCQhItWouhSVAgAABAgQIECBAYJICAtIkdS2bAAECBAgQIECAAIFaCQhItWouhSVAgAABAgQIECBAYJICAtIkdS2bAAECBAgQIECAAIFaCQhItWouhSVAgAABAgQIECBAYJICAtIkdS2bAAECBAgQIECAAIFaCQhItWouhSVAgAABAgQIECBAYJICAtIkdS2bAAECBAgQIECAAIFaCQhItWouhSVAgAABAgQIECBAYJICAtIkdS2bAAECBAgQIECAAIFaCQhItWouhSVAgAABAgQIECBAYJICAtIkdS2bAAECBAgQIECAAIFaCQhItWouhSVAgAABAgQIECBAYJICAtIkdS2bAAECBAgQIECAAIFaCQhItWouhSVAgAABAgQIECBAYJICAtIkdS2bAAECBAgQIECAAIFaCQhItWouhSVAgAABAgQIECBAYJICAtIkdS2bAAECBAgQIECAAIFaCQhItWouhSVAgAABAgQIECBAYJICAtIkdS2bAAECBAgQIECAAIFaCQhItWouhSVAgAABAgQIECBAYJICAtIkdS2bAAECBAgQIECAAIFaCQhItWouhSVAgAABAgQIECBAYJICAtIkdS2bAAECBAgQIECAAIFaCQhItWouhSVAgAABAgQIECBAYJICAtIkdS2bAAECBAgQIECAAIFaCSyrVWkbXNh169Y1uHaqRoAAAQIECBAgQKAeAs4g1aOdlJIAAQIECBAgQIAAgUUQEJAWAdkqCBAgQIAAAQIECBCoh4CAVI92UkoCBAgQIECAAAECBBZBQEBaBGSrIECAAAECBAgQIECgHgICUj3aSSkJECBAgAABAgQIEFgEAQFpEZCtggABAgQIECBAgACBeggISPVoJ6UkQIAAAQIECBAgQGARBASkRUC2CgIECBAgQIAAAQIE6iEgINWjnZSSAAECBAgQIECAAIFFEBCQFgHZKggQIECAAAECBAgQqIeAgFSPdlJKAgQIECBAgAABAgQWQUBAWgRkqyBAgAABAgQIECBAoB4CAlI92kkpCRAgQIAAAQIECBBYBAEBaRGQrYIAAQIECBAgQIAAgXoICEj1aCelJECAAAECBAgQIEBgEQQEpEVAtgoCBAgQIECAAAECBOohICDVo52UkgABAgQIECBAgACBRRAQkBYB2SoIECBAgAABAgQIEKiHgIBUj3ZSSgIECBAgQIAAAQIEFkFAQFoEZKsgQIAAAQIECBAgQKAeAgJSPdpJKQkQIECAAAECBAgQWAQBAWkRkK2CAAECBAgQIECAAIF6CAhI9WgnpSRAgAABAgQIECBAYBEEBKRFQLYKAgQIECBAgAABAgTqISAg1aOdlJIAAQIECBAgQIAAgUUQEJAWAdkqCBAgQIAAAQIECBCoh4CAVI92UkoCBAgQIECAAAECBBZBQEBaBGSrIECAAAECBAgQIECgHgICUj3aSSkJECBAgAABAgQIEFgEAQFpEZCtggABAgQIECBAgACBeggISPVoJ6UkQIAAAQIECBAgQGARBASkRUC2CgIECBAgQIAAAQIE6iEgINWjnZSSAAECBAgQIECAAIFFEBCQFgHZKggQIECAAAECBAgQqIeAgFSPdlJKAgQIECBAgAABAgQWQWDZIqyj0qvYY489Kl0+hauOwGK/V3baaae0dOnStNjrrY54s0qybNn/fdyuWbMmbdu2rVmVa2ltYvvcbbfdWlr7ZlY7tlOfuc1oW9+hzWjHohbFd+jq1avTypUri8Fj/926detI87Q+IN12220jQZmIwGK/V3beeee0fPnytNjr1dKTEVi1alXennfccUfavHnzZFZiqYsqENvnhg0b0szMzKKu18omI7BixYoUO08+cyfju9hLje1zl1120Z6LDT+h9UUoijbduHFj2rRpU+m1LFmyJMWBymFd6wOSHZVhbxHjC4HFfq/E0en4t9jrLerr78IKFEettmzZok0XlnZqS4tgFO3pjODUmmDBVxxt6jN3wVmnssDYEY4dau05Ff4FX2kcNI5uvt+hsV81SucepFGUTEOAAAECBAgQIECAQCsEBKRWNLNKEiBAgAABAgQIECAwioCANIqSaQgQIECAAAECBAgQaIWAgNSKZlZJAgQIECBAgAABAgRGERCQRlEyDQECBAgQIECAAAECrRAQkFrRzCpJgAABAgQIECBAgMAoAgLSKEqmIUCAAAECBAgQIECgFQICUiuaWSUJECBAgAABAgQIEBhFQEAaRck0BAgQIECAAAECBAi0QkBAakUzqyQBAgQIECBAgAABAqMICEijKJmGAAECBAgQIECAAIFWCCxrRS1VksACCKxbt24BlrIwi1i/fv3CLMhSCBAgQIAAAQIEegScQerh8IIAAQIECBAgQIAAgTYLCEhtbn11J0CAAAECBAgQIECgR0BA6uHwggABAgQIECBAgACBNgsISG1ufXUnQIAAAQIECBAgQKBHQEDq4fCCAAECBAgQIECAAIE2CwhIbW59dSdAgAABAgQIECBAoEdAQOrh8IIAAQIECBAgQIAAgTYLCEhtbn11J0CAAAECBAgQIECgR0BA6uHwggABAgQIECBAgACBNgsISG1ufXUnQIAAAQIECBAgQKBHQEDq4fCCAAECBAgQIECAAIE2CwhIbW59dSdAgAABAgQIECBAoEdAQOrh8IIAAQIECBAgQIAAgTYLCEhtbn11J0CAAAECBAgQIECgR0BA6uHwggABAgQIECBAgACBNgsISG1ufXUnQIAAAQIECBAgQKBHQEDq4fCCAAECBAgQIECAAIE2CwhIbW59dSdAgAABAgQIECBAoEdAQOrh8IIAAQIECBAgQIAAgTYLCEhtbn11J0CAAAECBAgQIECgR0BA6uHwggABAgQIECBAgACBNgsISG1ufXUnQIAAAQIECBAgQKBHQEDq4fCCAAECBAgQIECAAIE2CwhIbW59dSdAgAABAgQIECBAoEdAQOrh8IIAAQIECBAgQIAAgTYLCEhtbn11J0CAAAECBAgQIECgR0BA6uHwggABAgQIECBAgACBNgsISG1ufXUnQIAAAQIECBAgQKBHQEDq4fCCAAECBAgQIECAAIE2CwhIbW59dSdAgAABAgQIECBAoEdAQOrh8IIAAQIECBAgQIAAgTYLCEhtbn11J0CAAAECBAgQIECgR0BA6uHwggABAgQIECBAgACBNgsISG1ufXUnQIAAAQIECBAgQKBHQEDq4fCCAAECBAgQIECAAIE2CwhIbW59dSdAgAABAgQIECBAoEdAQOrh8IIAAQIECBAgQIAAgTYLCEhtbn11J0CAAAECBAgQIECgR0BA6uHwggABAgQIECBAgACBNgsISG1ufXUnQIAAAQIECBAgQKBHQEDq4fCCAAECBAgQIECAAIE2CwhIbW59dSdAgAABAgQIECBAoEdAQOrh8IIAAQIECBAgQIAAgTYLCEhtbn11J0CAAAECBAgQIECgR0BA6uHwggABAgQIECBAgACBNgsISG1ufXUnQIAAAQIECBAgQKBHQEDq4fCCAAECBAgQIECAAIE2CwhIbW59dSdAgAABAgQIECBAoEdAQOrh8IIAAQIECBAgQIAAgTYLCEhtbn11J0CAAAECBAgQIECgR0BA6uHwggABAgQIECBAgACBNgsISG1ufXUnQIAAAQIECBAgQKBHQEDq4fCCAAECBAgQIECAAIE2CwhIbW59dSdAgAABAgQIECBAoEdAQOrh8IIAAQIECBAgQIAAgTYLCEhtbn11J0CAAAECBAgQIECgR0BA6uHwggABAgQIECBAgACBNgsISG1ufXUnQIAAAQIECBAgQKBHQEDq4fCCAAECBAgQIECAAIE2Cyxrc+XVnUBdBdatW1eZoq9fv74yZVEQAgQIECBAgMB8BZxBmq+g+QkQIECAAAECBAgQaIyAgNSYplQRAgQIECBAgAABAgTmKyAgzVfQ/AQIECBAgAABAgQINEZAQGpMU6oIAQIECBAgQIAAAQLzFRCQ5itofgIECBAgQIAAAQIEGiMgIDWmKVWEAAECBAgQIECAAIH5CghI8xU0PwECBAgQIECAAAECjREQkBrTlCpCgAABAgQIECBAgMB8BQSk+QqanwABAgQIECBAgACBxggISI1pShUhQIAAAQIECBAgQGC+AgLSfAXNT4AAAQIECBAgQIBAYwQEpMY0pYoQIECAAAECBAgQIDBfAQFpvoLmJ0CAAAECBAgQIECgMQICUmOaUkUIECBAgAABAgQIEJivgIA0X0HzEyBAgAABAgQIECDQGAEBqTFNqSIECBAgQIAAAQIECMxXQECar6D5CRAgQIAAAQIECBBojICA1JimVBECBAgQIECAAAECBOYrICDNV9D8BAgQIECAAAECBAg0RkBAakxTqggBAgQIECBAgAABAvMVEJDmK2h+AgQIECBAgAABAgQaIyAgNaYpVYQAAQIECBAgQIAAgfkKCEjzFTQ/AQIECBAgQIAAAQKNERCQGtOUKkKAAAECBAgQIECAwHwFBKT5CpqfAAECBAgQIECAAIHGCCxrTE1UhACB1gusW7euMgbr16+vTFkUhAABAgQIEBhdwBmk0a1MSYAAAQIECBAgQIBAwwUEpIY3sOoRIECAAAECBAgQIDC6gIA0upUpCRAgQIAAAQIECBBouICA1PAGVj0CBAgQIECAAAECBEYX8JCG0a1MSYBAH4EqPRihT/EMIkCAAAECBAiMJeAM0lhcJiZAgAABAgQIECBAoMkCAlKTW1fdCBAgQIAAAQIECBAYS0BAGovLxAQIECBAgAABAgQINFlAQGpy66obAQIECBAgQIAAAQJjCQhIY3GZmAABAgQIECBAgACBJgsISE1uXXUjQIAAAQIECBAgQGAsAQFpLC4TEyBAgAABAgQIECDQZAEBqcmtq24ECBAgQIAAAQIECIwlICCNxWViAgQIECBAgAABAgSaLLCsyZVTNwIECBCojsC6desqU5j169dXpiwKQoAAAQLVEnAGqVrtoTQECBAgQIAAAQIECExRQECaIr5VEyBAgAABAgQIECBQLQGX2FWrPZSGAAECBBZBoEqX+y1CdWu5iipdBlml90uVXGr5xlJoAiMIOIM0ApJJCBAgQIAAAQIECBBoh4CA1I52VksCBAgQIECAAAECBEYQcIndCEgmIUCAwLgCVbkkx+U447ac6QkQIECg7QLOILX9HaD+BAgQIECAAAECBAh0BJxB6lDoIUCAAAECBKoiUJWzsFXxKMpRFRdnp4sW6f1blfaJUmmj3rYZ55UzSONomZYAAQIECBAgQIAAgUYLCEiNbl6VI0CAAAECBAgQIEBgHIFGXGJ3yy23pHPPPTfF3yOPPDIddNBB4xiYlgABAo0VqNLlHo1FVjECLRSo0meLS8n6vwG1UX+XUYbW/gzS5Zdfno499th09tlnpwsvvDAdf/zx6bzzzhul7qYhQIAAAQIECBAgQIBAj0DtzyCdfPLJ6ZhjjkknnHBCWrJkSTrjjDPSqaeems4888z8dU9tvSBAgAABAgQIECBAgMAcArU+g3TdddelSy65JD+DFOEouqOPPjpdddVV6eKLL56j2kYRIECAAAECBAgQIEBgR4Fan0G65ppr8hrtv//+nZrttddeaeedd07XXnttOuywwzrDt27dmp72tKd1XkdPnHl6ylOe0jPMCwIECBAgQIAAgfoIxL7f7C4OnO+0006p37jZ03o9eYH5tkO0ZXS77rprWrNmTekCb9myZaR5ax2Qrr766rTLLrvk/7prG3g33HBD96C0bdu2dMEFF/QMe8ADHpCHqZ6BU3rxuc99bkprtloCBAgQIECAQDMFli5duqgVsz83We7ly5dPdgU/X3qtA1Ig9UuCcbZo1apVPYAx7aWXXtozLF5EyGpKt99++6WNGzem66+/vilVanU9VqxYkQf4m2++udUOTal8HPGKgzdxafCmTZuaUq1W12Pt2rX5520cgNPVX2DfffdNmzdvzrfR+tdGDeJqopUrV6abbroJRgMEVq9enXbbbbf8Mzf2dct2EZj32WefobPX+h6k+HKKMLRhw4aeisYOZYQFHQECBAgQIECAAAECBMYRqHVA+v/t3QeQFEUbxvGXoBgQBcUAIoggIigKqKAgiolgQEsMGKBMYAAxB1QUFRQjKiKCYsCcEyqKCmbLiGKWIpgjiggm5uunP2drdm8P5ri9udubf1fd7ezs7HT3b/Zu5t0Os+GGG1rt2rVt1qxZmTpr0gZ9mxcdl5R5kQUEEEAAAQQQQAABBBBAYBkCRR0grbnmmrb77rubbhD2+++/25IlS2zixInWo0cPa9iw4TKqzUsIIIAAAggggAACCCCAQEmBog6QVJ1Bgwb5cRp77bWX9enTx7coDR48uGRNWYMAAggggAACCCCAAAIILEegqCdpUN3q169vV199tWnckQZeaRAXCQEEEEAAAQQQQAABBBBYEYGiD5DCSmtmCxICCCCAAAIIIIAAAgggUB6Bou9iV57K814EEEAAAQQQQAABBBBAICpAgBTVYBkBBBBAAAEEEEAAAQRSLUCAlOrDT+URQAABBBBAAAEEEEAgKkCAFNVgGQEEEEAAAQQQQAABBFItQICU6sNP5RFAAAEEEEAAAQQQQCAqQIAU1WAZAQQQQAABBBBAAAEEUi1AgJTqw0/lEUAAAQQQQAABBBBAICpAgBTVYBkBBBBAAAEEEEAAAQRSLUCAlOrDT+URQAABBBBAAAEEEEAgKkCAFNVgGQEEEEAAAQQQQAABBFItQICU6sNP5RFAAAEEEEAAAQQQQCAqQIAU1WAZAQQQQAABBBBAAAEEUi1AgJTqw0/lEUAAAQQQQAABBBBAICpAgBTVYBkBBBBAAAEEEEAAAQRSLUCAlOrDT+URQAABBBBAAAEEEEAgKkCAFNVgGQEEEEAAAQQQQAABBFItQICU6sNP5RFAAAEEEEAAAQQQQCAqQIAU1WAZAQQQQAABBBBAAAEEUi1AgJTqw0/lEUAAAQQQQAABBBBAICpAgBTVYBkBBBBAAAEEEEAAAQRSLUCAlOrDT+URQAABBBBAAAEEEEAgKkCAFNVgGQEEEEAAAQQQQAABBFItQICU6sNP5RFAAAEEEEAAAQQQQCAqQIAU1WAZAQQQQAABBBBAAAEEUi1AgJTqw0/lEUAAAQQQQAABBBBAICpAgBTVYBkBBBBAAAEEEEAAAQRSLVAjcCnVAtWk8n///bftscce1q5dO7vqqquqSa2oBgLVR+CWW26x2267zUaPHm0dO3asPhWjJghUE4HddtvNWrRoYePGjasmNaIaCFQfgXvuucfGjx9vI0aMsC5dulR4xWpXeA5kkIiA4tyvvvrKGjVqlEh+ZIIAAmUT+O233/zf6JIlS8r2RrZGAIFEBHQOrVevXiJ5kQkCCJRNYOHChf4cunjx4rK9cQW3povdCsLxNgQQQAABBBBAAAEEEKh+AgRI1e+YUiMEEEAAAQQQQAABBBBYQQG62K0gXFV7W82aNa179+7WsmXLqlY0yoMAAk6gefPm/m907bXXxgMBBKqgwM4772xNmjSpgiWjSAgg0LRpU38ObdiwYSIYTNKQCDOZIIAAAggggAACCCCAQDEI0MWuGI4SZUQAAQQQQAABBBBAAIFEBAiQEmEmEwQQQAABBBBAAAEEECgGAcYgFcNRilHGefPm2SuvvGINGjSw7bff3urWrRvjXWyCAAIVIfDHH3/4v8evv/7a2rZta+3bt8/K5t9//7V3333XPvzwQ9tss81sm222yXqdJwggkIzAm2++aQsWLLBdd901K0POqVkcPEEgUQH9TeqaVrfH6Nq1qzVu3Dgr/yTOobXOdykrV54UncDtt99u5557rq2++ur22muv2SOPPGIabLrqqqsWXV0oMALFLvDUU0/ZCSecYL/++qv/mThxov3444/+iwvVTf/YBw0aZI899pjVr1/fJk+ebN9++6117ty52KtO+REoKoHvvvvOhgwZYosWLTLdJDZMnFNDCR4RSF7giy++sOOPP96++eYb030Dr7rqKlu6dKltvfXWvjBJnUNpQUr+2Bc0R33LNWnSJBszZoxttdVW9s8///iLL91xWBdhJAQQSE5A/8RvvfVW/7fXt29fn/GMGTNs2LBh1qdPH2vRooXde++99vvvv5v+RvWlxty5c+2www6z3r17W6tWrZIrLDkhkGIB/a1eeOGFVqNGjSwFzqlZHDxBIHGBcePGWevWrW3kyJE+b33xP3z4cNt///1tjTXWSOwcyhikxA99YTN84403rFGjRj440p5r165tPXr0sGeeeaawGbE3BBBYrsDPP//su8tFv40Ov/VSdzull156yX9breBISVOXqhsef7Oeg18IJCJw1113+eBIt8eIJs6pUQ2WEUhWQOfJ119/PesL/u222843BKyyyiq+MEmdQ2lBSvbYFzw3NUHm9s1UwKQuPfqGTPdHIiGAQDIC66yzjp188slZmU2bNs1q1aqVaR3S36z+RqNJz7///vvoKpYRQKCCBD755BNTgKTur+riGk2cU6MaLCOQrMD8+fP9+VItu5dddpnvYbH55pvbgAEDbKWVVvKFSeocytVzsse+4Llp7EK9evWy9qsmSAVHGgNBQgCByhNQX+rx48fbIYccYuutt57vAqsvL3L/ZvVcrU8kBBCoWIE///zTd63TGIf111+/RGacU0uQsAKBxAR0flRL0WmnneZbeDt06GBTp061oUOH+utaDSNJ6hxKC1Jih71iMlJErQ9MNIXPV1tttehqlhFAIEGBmTNn2plnnunv/H3kkUf6nNWSpFbd8G80LI6eh13uwnU8IoBA4QXGjh3ru7X27Nkz7845p+ZlYSUCiQjoXKhJU4444gg74IADfJ4dO3a04447zne969SpU2LnUFqQEjnkFZeJuvQsXLgwKwNNi6jZserUqZO1nicIIJCMgPpIn3TSSbbPPvv4b8LCrq7qNqCp+PP9zeb7NjuZ0pILAukQ0Kx1Dz30kP3yyy92xhln+B8NAP/oo4/8sqYW5pyajs8CtayaAg0bNvQF69atW6aAGqOrXhZffvmlb1VK6hxKgJQ5BMW5sPHGG9vHH3+c9Y30rFmzSoxLKs7aUWoEik/g+eeft/POO89PHzxw4MASFWjevLnpbzSadD+k3LGE0ddZRgCB8gvo1hdHHXWUadC3xjXoR18m6r6BWlbrEefU8juzBwRWVKBZs2b+rerqGqYffvjB3w8pfC2pcygBUngEivQxvLndHXfc4ftnzp4926ZMmeKnDS7SKlFsBIpW4KeffrJLLrnEdtppJ9M/8/feey/zE44x0lSlzz77rL9JbBAE9sADD9hff/1lvXr1Ktp6U3AEikFA30L3798/60dT6zdp0sSvUzdXzqnFcCQpY3UV0IRFOn/q1jU6n2os/U033WTrrruutWnTxlc7qXNoDXeCDqordFrq9c4779gFF1xgf/zxh785rLr1qP8mCQEEkhXQjFialCFf0ngk3etI6eabbzbdjFLfWKvlSAPG1c+ahAACyQpcfvnlpm+oL7300kzGnFMzFCwgkLiAuqCPGjXKXnnlFT+jnc6RI0aM8F86hoVJ4hxKgBRqV4NH9a9W/81wvEM1qBJVQKDaCqjVSOMFNeaBhAACVU+Ac2rVOyaUKD0C+tJ/yZIlftxuvlpX9DmUACmfOusQQAABBBBAAAEEEEAglQKMQUrlYafSCCCAAAIIIIAAAgggkE+AACmfCusQQAABBBBAAAEEEEAglQIESKk87FQaAQQQQAABBBBAAAEE8gkQIOVTYR0CCCCAAAIIIIAAAgikUoAAKZWHnUojgAACCCCAAAIIIIBAPgECpHwqrEMAAQQqUODHH3+0adOm2YwZM2zBggUVmFPZdq27l3/99ddle1M5t9ZUrnPnzvXTuZZzVxXydpl888035d73l19+aU888US596MdVMZxKkjB/9uJPB999NFC7pJ9IYAAAgUVIEAqKCc7QwABBEoX+OKLL6x9+/b+fmW77rqrdevWzerXr+/XffbZZ6W/MaFX+vTpY7vvvntCuf0/myeffNLfAPCFF15INN98mf399982evRof+PQ8PW9997bevToET5doUfdj/2QQw6xDz74YIXen/umJI7T+++/bxMnTszNuiDP9ZkfPHiwPfzwwwXZHztBAAEECi1AgFRoUfaHAAII5BFQK0nHjh39t//XXXedbz168MEHbeDAgTZv3jzbdtttC3YBnSf7WKtUhu233z7WttVxo8suu8zOOOMM0w0IC5luuOEGmz17tg0dOrQgu03iOHXo0MFef/31gpQ3dyerrLKKXXjhhXbcccdVqRbU3HLyHAEE0itQO71Vp+YIIIBAcgIKhtSdbvz48XbAAQdkMt533319UNK/f3+77bbbfAtG5sWEF6655pqEc6xa2f3zzz8FL5DuBH/++efbaaedZnXq1CnI/pM4ThVhEa28WtTOPvtsGzNmjA0fPjz6EssIIIBApQsQIFX6IaAACCCQBoGwC90WW2xRorr9+vXzY5LWXHPNEq+pq9O9995rH330kW200Ua25557Wvfu3bO2mz9/vu8O9eGHH5r2oTyOPPJIq1u3bma7ONtMmDDBt54cf/zxmfctXrzY7/vNN9+0f//919q1a2dHH320rbXWWpltbrzxRt9VcOedd7ZbbrnFtO0GG2xgffv2XeEWqeXVW56TJ0/2XbXeeustmzJlin3//fe2zTbb2LHHHmurrrpqpnxa+OGHH/wYoGeffdaXTRfoP//8s7388st27rnn2j333GPPPfecf8/ll19uW2+9tR1++OGZffzyyy+mlqB3333XNt54Y1PXuzitbQp6lXc0KA7LPmTIEHvttdd8uRSQqCvffvvtZ4sWLbKbb77Zv7bDDjv4966zzjqZsuQep7j+Y8eOtZVXXtkfv8zO3ILKqHFxJ598sn333Xd2/fXXm7oFylXBy1FHHWVNmjTxb1necdFGcT5rtWrVsv33399UptNPP73E8fKZ8QsBBBCoLAH3T5CEAAIIIFDBAg888EDg/s8HXbt2DdxFcbB06dLl5uguyAN3Qet/9tprr8CNX/L7OPXUUzPvdRfbwdprrx24gCXo1auX33/t2rWDTTbZJHAXvX67ONtow+222y5o06ZNZt9fffVV0KxZM5//brvtFrjgLFh99dWDxo0bBy4IymzngpKgS5cuQatWrYI11lgjcGOr/HbuIji4//77M9vlW9DrcnFjkTIvx6m3m/DAv++II47wj1tttZXPX/uSkwvmMvtzgVPggsvABYzBPvvsE7igI3ABVOC6qgWuVcdvd9555/m66v0u8Alci49fr7qtt956gQuKfL1Vz5o1awYrrbRS8Pjjj2fyKG1BFnKNprDshx56aOC6m/ljttpqq/l6uNYhbylHfVZUPr3mumhmdpF7nOL6t23btkRZtFM3Hs77aNl1BQx22mknXxYX5PplN3ZKLwVxjkvcz5r29+KLL/p8HnnkET0lIYAAAlVGQN8SkRBAAAEEKlhAAdFZZ53lLwh1Ed6wYcPgoIMO8hedCkRyky40FRy5VpnAtUBkXh42bJjfh2sJ8et0Ia/t3Lf2mW1ci5Pf5tprr429jTbMvfB2LRo+kHBjUTL7/uSTT3zAoIttN6mBX68LdNVJZXGz0vl1n376qQ9IOnfunHlvvoXcACluvcMgQ8GLa9XI7PqYY47xZXn66acz61yLW+AmBghU9jC5ro5+uzBA0voLLrjAr3MzzoWbBWHd3KQCmXWuNS+oUaNGsMcee2TWlbbQoEGDwLXIZb0clt21CgVz5szxr7kWKu8lR9dCFyxcuNCvd10zfZnc5BGZfeQep7CMy/OPEyCFmah+ruUofBrEPS5xPo/hTl3rpK/bxRdfHK7iEQEEEKgSAkzS4M5GJAQQQKCiBdwFp40cOdKmT5/uuyypC9jdd99tgwYN8t2X1M1IXdjCpG5OmizgzDPPtGj3qlNOOcVc64XvmqRtXWuG3+6ll17KvF9d2zSV8gknnOB3F2ebMN/wUdNSP/XUU747liYFCNOmm27qJzLQjGyqS5g0vuaiiy7KdJVq2bKl746nySnKkuLWO9ynutO5C//wqe/Wpydhvuo6pq5zmjVNZQ+TC6TMtTqFT5f5KD9N4BCmzTbbzM88+PHHH4er8j5qOm514wu7p+VupK6KTZs29avVZTHssqcxS2H3SNea41/XRB7LSoXyLy2PuMelLJ81TdbgviiwWbNmlZYt6xFAAIFKEWAMUqWwkykCCKRVYMcddzT9KH3++ef2zDPP+IHqugDXRbCCJiXX2mEKqjS+JHe6ZdflylwLjd9OY400Fufggw82jR1yXeGsd+/e5rqS+df1K842mY3/W9CYJ6VocPTfS+ZaMPyiAoRddtnFLysI0PiWaFp33XVN46LKkuLWO9xnixYtwkX/qDyVNHZK6e233/aP+YIhTbke1tNvVMovBTEKQKJJ+aqsy0rhhX9pAVLz5s2z3q5gQcFvo0aNMuvDcWnR4DnzYmShUP6RXWYtxj0uZf2saVxd6JSVIU8QQACBShSgBakS8ckaAQTSIaCZzKZOnWoa4B5NushWC4gG/rvxJqaZ7n777Te/iVo+dFHuxhP5ViJ9Mx/+aDB/p06d/HZqqdFgerXeaPm+++7zkwtoWRMQKMXZxm8Y+fXTTz/5Z/Xq1Yus/f9i2Lqh+waFSUFbblKA5/pK5K5e5vO49Q53kpuv8lQK89UECUq5wZvW5U7koHX5khsPlG/1ctepBUkpt4zhG93YsXAx86jJC6IprEd0Xb7lfHnE9V9e8KX84h6Xsn7WVO7QKV+9WIcAAghUhgAtSJWhTp4IIJAqAV30ahYzzYz2/PPPl6i7uhrpBq1u0LrNmTPHttxyS1PrwhtvvGEjRozI6hqmN2vGMwVOYdKNN93YJP+jLl0KknSPGXXP0z6V4mwT7k+PbpIH/1TlyU3hunytMrnblvV5WeodZ99hC5PuQ5Sb8q3L3aY8z934KP92N36nPLvx740bKC0rI30Oo0FtuO3yuu9pu7Icl7J81tQSGrb6heXhEQEEEKhsAVqQKvsIkD8CCFR7AXWb6tmzp785rLrD5SY3IN8eeughP/10OA24pndW0hTM0TRz5kw/PuXEE0/0qw888EA/xkVTQyu5SQH8zWc1Tib8Zj7ONv7NkV+tW7f2QZWm7c69ONcU1EoVESDFrXekqMtcVDe6Zs2a+ftPRYMDdQ9U98ZoCltvCnWj2A033NDvfnljlaJlqMhljXPS2Cw3kUYmGwWJ4XitzEq3IIuoQ9zjUpbPmu4LpmnFS+uCGC0PywgggECSAgRISWqTFwIIpFZAA+91/5zDDjvM3+9GLUOTJk0yN7Odn8xAgY8mcQi7iA0cONAUpFx99dV+jJLGadx5553mZr7zAdI555zjLTVpg+7/46aM9vfTcTPO+UkUNPZHkzUoxdnGbxj5pW506ranMTy6N8+rr77qu/KpXG5aZl/W6L2QIm8t12LcesfNRMGpxncpSHFTdNu4ceNs1KhRfhyYXgu9tT+1fCjp9Ycfftgvl+eXglQ3JbrPuzz7KdR73ax7pq6T+gxOmzbNFPxqXVjvaD5ap9ZOTc6g+xrFPS5l+ayFY7jCcWzR/FlGAAEEKlXAfTNIQgABBBBIQMBdnPqpvV3Lgp/e2P3z91N0d+jQIQin7Y4WQ/fvcUFOoPsaaVv9uDEegRvPFN0scIFMZopobePGDQVnn3121r2A4myTO320MnGtRX5K8jB/NxNccOWVV2blr2mmXbfArHV64gIrf3+mEi9EVuRO862X4tQ7nCpb02BHkws0vZMLLKOrAzcjX+AmxwjcpAeBprvWPX323Xdffw+pcEPl61rF/PvdxAx+dWl1cy0l3jx8b2mPbpZCb+BaYzKblFZ2d/Naf1+kzIZuwXWn9OXRfsKUe5xKK2Ouv2tlDAYMGBC41iG/T91r6dJLLw2GDh2auQ9SmMeYMWP8/Zd03F0g71fHOS7aMM5nTdvpGGj/mkKchAACCFQlgRoqjPsHRUIAAQQQSFBA3Ys0lbYGtefOkJZbDHV10ox3mtFMM5xFWz3CbbWNvulX0niRFd0m3F/uo/atblfRGdZytyn08zj1Xl6emoBAZddsaZrkIprcTVx9F6/cLnDunkSmcWFxJ3GI7jN3Wa0k6jY5YcIE69+/f+7LlfJcXew07kifvbBbYb6CyE5j2jTNfPTzFOe4xPk8tmvXzn9W1b2UhAACCFQlAQKkqnQ0KAsCCCCAQEEF9B2gZqHTGBp389jMvnXfKE23rmmpFbxUZHItNH68k+4dFQ00KjLPqr7vKVOmmGvB89PAhxOCVPUyUz4EEEiPAAFSeo41NUUAAQRSKXDqqafaFVdcYR07djS1GmlWOY2vUUubbiKriS0qMqlFSq01mtxi7733rsisimbfOg66n9bo0aOLpswUFAEE0iNAgJSeY01NEUAAgVQKLF261M8gqBYkBUaaXa5z586+y5u6jyWRdLPfGTNmlJiVMIm8q1oeujlvv379bPr06ZbvPltVrbyUBwEE0idAgJS+Y06NEUAAAQQQQAABBBBAoBSB7BGrpWzEagQQQAABBBBAAAEEEEAgDQIESGk4ytQRAQQQQAABBBBAAAEEYgkQIMViYiMEEEAAAQQQQAABBBBIgwABUhqOMnVEAAEEEEAAAQQQQACBWAIESLGY2AgBBBBAAAEEEEAAAQTSIECAlIajTB0RQAABBBBAAAEEEEAglgABUiwmNkIAAQQQQAABBBBAAIE0CBAgpeEoU0cEEEAAAQQQQAABBBCIJfA/11gf0ohAuuYAAAAASUVORK5CYII=",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "average_session <- fraud_train |>\n",
    "    group_by(fraud_bool) |>\n",
    "    summarize(session_length = mean(session_length_in_minutes))\n",
    "\n",
    "average_session\n",
    "\n",
    "session_plot <- ggplot(fraud_train, aes(x = session_length_in_minutes, fill = fraud_bool)) +\n",
    "  geom_histogram(binwidth = 3) +\n",
    "  labs(fill = \"Fraudulence\") +\n",
    "  xlab(\"Session length (minutes)\") +\n",
    "  ylab(\"Count\") +\n",
    "  facet_grid(rows = vars(fraud_bool)) +\n",
    "  ggtitle(\"Distribution of session length\")\n",
    "\n",
    "fraud_session_duration <- fraud_train |>\n",
    "  filter(fraud_bool == 1) |>\n",
    "  ggplot(aes(x = session_length_in_minutes)) +\n",
    "  geom_histogram(binwidth = 3) +\n",
    "  xlab(\"Session length (minutes)\") +\n",
    "  ylab(\"Count\") +\n",
    "  ggtitle(\"Fraudulent and legitimate have similar distributions\")\n",
    "\n",
    "session_plot\n",
    "fraud_session_duration"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "0eb0230c",
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A tibble: 2 × 2</caption>\n",
       "<thead>\n",
       "\t<tr><th scope=col>fraud_bool</th><th scope=col>proposed_credit_limit</th></tr>\n",
       "\t<tr><th scope=col>&lt;fct&gt;</th><th scope=col>&lt;dbl&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><td>0</td><td>716.1710</td></tr>\n",
       "\t<tr><td>1</td><td>970.3311</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A tibble: 2 × 2\n",
       "\\begin{tabular}{ll}\n",
       " fraud\\_bool & proposed\\_credit\\_limit\\\\\n",
       " <fct> & <dbl>\\\\\n",
       "\\hline\n",
       "\t 0 & 716.1710\\\\\n",
       "\t 1 & 970.3311\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A tibble: 2 × 2\n",
       "\n",
       "| fraud_bool &lt;fct&gt; | proposed_credit_limit &lt;dbl&gt; |\n",
       "|---|---|\n",
       "| 0 | 716.1710 |\n",
       "| 1 | 970.3311 |\n",
       "\n"
      ],
      "text/plain": [
       "  fraud_bool proposed_credit_limit\n",
       "1 0          716.1710             \n",
       "2 1          970.3311             "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "average_proposed_credit_limit <- fraud_train |>\n",
    "    group_by(fraud_bool) |>\n",
    "    summarize(proposed_credit_limit = mean(proposed_credit_limit))\n",
    "\n",
    "proposed_credit_limit_plot <- ggplot(fraud_train, aes(x = proposed_credit_limit, fill = fraud_bool)) +\n",
    "  geom_histogram(binwidth = 200) +\n",
    "  labs(fill = \"Fraudulence\") +\n",
    "  xlab(\"Proposed credit limit (arbitrary units)\") +\n",
    "  ylab(\"Count\") +\n",
    "  facet_grid(rows = vars(fraud_bool)) +\n",
    "  ggtitle(\"Distribution of proposed credit limits\")\n",
    "\n",
    "fraud_proposed_credit_limit <- fraud_train |>\n",
    "  filter(fraud_bool == 1) |>\n",
    "  ggplot(aes(x = proposed_credit_limit)) +\n",
    "  geom_histogram(binwidth = 200) +\n",
    "  xlab(\"Proposed credit limit (arbitrary units)\") +\n",
    "  ylab(\"Count\") +\n",
    "  ggtitle(\"Fraudulent proposed credit limits tend more to be at the extreme ends\")\n",
    "\n",
    "average_proposed_credit_limit\n",
    "proposed_credit_limit_plot\n",
    "fraud_proposed_credit_limit"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2abcbdbd",
   "metadata": {},
   "source": [
    "The preliminary data exploration told us that:\n",
    "\n",
    "- Fraudulent and legitimate bank accounts have similar distributions for session length\n",
    "- But, they differ for the other 5 variables\n",
    "\n",
    "Thus, we decided to proceed with forward selection with these 5 variables:\n",
    "\n",
    "- Credit risk score\n",
    "- Income\n",
    "- Months lived at current address\n",
    "- Name-email similarity\n",
    "- Proposed credit limit\n",
    "\n",
    "We also learned that legitimate bank accounts (95%) far outnumber fraudulent bank accounts (5%), so class balancing might be required."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a689c833",
   "metadata": {},
   "source": [
    "## Methods\n",
    "We will perform the following steps for our data analysis. For steps 1 to 4, we will only use the training dataset.\n",
    "\n",
    "#### 1. Class balancing: \n",
    "- Account for the rarity of fraudulent accounts by oversampling fraudulent accounts.\n",
    "- Note: we will tentatively set the oversampling ratio as 1.\n",
    "\n",
    "#### 2. Determining best predictor variables using forward selection\n",
    "- Perform forward selection with the aforementioned 5 variables.\n",
    "\n",
    "#### 3. Data preprocessing\n",
    "- Create a recipe to standardize the data.\n",
    "\n",
    "#### 4. Model tuning and obtaining of best K-value model\n",
    "- Create a KNN model for tuning purposes.\n",
    "- Use 5-fold cross validation to tune the model.\n",
    "- Visualize the results and pick the best K-value.\n",
    "- With the best K-value, specify and train a new KNN model.\n",
    "\n",
    "#### 5. Model specification, usage, and evaluation\n",
    "- Using the best K-value model, predict the fraudulence labels of the testing dataset.\n",
    "- Analyse a confusion matrix obtained from the results.\n",
    "- Compare this confusion matrix to one obtained from the majority classifier.\n",
    "- Analyse the real-world consequences of the predicted accuracy of the model.\n",
    "- Identify potential avenues of improvement, such as changing the ratio for oversampling.\n",
    "\n",
    "### Visualisation of results\n",
    "- Plot a bar chart of the confusion matrix of our best K-value model alongside that of the majority classifier.\n",
    "- Plot the scatter of the original data as well as predicted labels for a grid of points to achieve a figure like the following:\n",
    "<img width=50% height=50% src=\"https://i.ibb.co/SdcQQCk/Whats-App-Image-2023-03-09-at-12-03-00-PM.jpg\" alt=\"Whats-App-Image-2023-03-09-at-12-03-00-PM\">"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "52917c81",
   "metadata": {},
   "source": [
    "## Expected outcomes and significance"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "838602d7",
   "metadata": {},
   "source": [
    "#### What do we expect to find?\n",
    "We expect that certain variables are better predictors of bank account fraud than others, and that the forward selection process will indicate which and how many variables to use to predict bank account fraud most accurately. Ultimately, we expect that a K-nearest neighbors classifier can be used to predict bank account fraud with a reasonable amount of accuracy.\n",
    "\n",
    "#### What impact could such findings have?\n",
    "With the knowledge of which variables are the strongest indicators of account opening fraud, banks could focus on collecting more data to a higher degree of detail on these variables. Besides that, if the K-nearest neighbors algorithm is shown to be effective in predicting account opening fraud, banks could use classifiers using this algorithm to quickly and efficiently identify which accounts should be monitored closely in order to expose cases of account opening fraud. If more fraudsters were caught and prosecuted, overall rates of account opening fraud would likely decrease.\n",
    "\n",
    "#### What future questions could this lead to?\n",
    "\n",
    "- Can K-nearest neighbors classifiers be used to detect other kinds of fraudulent banking activities, such as phishing scams, debit and credit card fraud, or cheque fraud?\n",
    "- Can K-nearest neighbors classifiers be used to improve the accuracy and efficiency of current fraud detection systems?\n",
    "- How would K-nearest neighbors compare to other classification algorithms (such as Naive Bayes, decision trees etc.) in identifying fraud?\n"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "R",
   "language": "R",
   "name": "ir"
  },
  "language_info": {
   "codemirror_mode": "r",
   "file_extension": ".r",
   "mimetype": "text/x-r-source",
   "name": "R",
   "pygments_lexer": "r",
   "version": "4.1.3"
  },
  "vscode": {
   "interpreter": {
    "hash": "767d51c1340bd893661ea55ea3124f6de3c7a262a8b4abca0554b478b1e2ff90"
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}