Stat-2-dz.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Вам необходимо провести базовый EDA выбранного набора данных.\n",
    "Требования к анализу:\n",
    "\n",
    "-построить не менее 4 визуализаций различных видов;\n",
    "-каждая визуализация должным образом оформлена и читается даже в отрыве от контекста;\n",
    "-по каждой визуализации необходимо написать вывод (какую гипотезу на ее основе можно выдвинуть?).\n",
    "\n",
    "Дополнительная часть (необязательная)\n",
    "построить дополнительно не менее 2 визуализаций (итого не менее 6);\n",
    "в работе должны присутствовать следующие визуализации: boxplot, heatmap, scatter plot matrix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "df = pd.read_csv('telecom_users.csv', names = ['Number', 'customerID', 'Gender', 'SeniorCitizen', 'Married', 'Client', 'Client_Months', 'PhoneService', 'MultipleLines', 'InternetService', 'OnlineSecurity', 'OnlineBackup', 'DeviceProtection', 'TechSupport', 'StreamingTV', 'StreamingMovies', 'Contract', 'PaperlessBilling', 'PaymentMethod', 'MonthlyCharges', 'TotalCharges', 'Churn'], header=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Number</th>\n",
       "      <th>customerID</th>\n",
       "      <th>Gender</th>\n",
       "      <th>SeniorCitizen</th>\n",
       "      <th>Married</th>\n",
       "      <th>Client</th>\n",
       "      <th>Client_Months</th>\n",
       "      <th>PhoneService</th>\n",
       "      <th>MultipleLines</th>\n",
       "      <th>InternetService</th>\n",
       "      <th>...</th>\n",
       "      <th>DeviceProtection</th>\n",
       "      <th>TechSupport</th>\n",
       "      <th>StreamingTV</th>\n",
       "      <th>StreamingMovies</th>\n",
       "      <th>Contract</th>\n",
       "      <th>PaperlessBilling</th>\n",
       "      <th>PaymentMethod</th>\n",
       "      <th>MonthlyCharges</th>\n",
       "      <th>TotalCharges</th>\n",
       "      <th>Churn</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1869</td>\n",
       "      <td>7010-BRBUU</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>72</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>...</td>\n",
       "      <td>No internet service</td>\n",
       "      <td>No internet service</td>\n",
       "      <td>No internet service</td>\n",
       "      <td>No internet service</td>\n",
       "      <td>Two year</td>\n",
       "      <td>No</td>\n",
       "      <td>Credit card (automatic)</td>\n",
       "      <td>24.10</td>\n",
       "      <td>1734.65</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4528</td>\n",
       "      <td>9688-YGXVR</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>44</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Fiber optic</td>\n",
       "      <td>...</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Credit card (automatic)</td>\n",
       "      <td>88.15</td>\n",
       "      <td>3973.2</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>6344</td>\n",
       "      <td>9286-DOJGF</td>\n",
       "      <td>Female</td>\n",
       "      <td>1</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>38</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Fiber optic</td>\n",
       "      <td>...</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Bank transfer (automatic)</td>\n",
       "      <td>74.95</td>\n",
       "      <td>2869.85</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>6739</td>\n",
       "      <td>6994-KERXL</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>4</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>DSL</td>\n",
       "      <td>...</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Electronic check</td>\n",
       "      <td>55.90</td>\n",
       "      <td>238.5</td>\n",
       "      <td>No</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
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       "      <td>2181-UAESM</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>2</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>DSL</td>\n",
       "      <td>...</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>No</td>\n",
       "      <td>Electronic check</td>\n",
       "      <td>53.45</td>\n",
       "      <td>119.5</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Number  customerID  Gender  SeniorCitizen Married Client  Client_Months  \\\n",
       "0    1869  7010-BRBUU    Male              0     Yes    Yes             72   \n",
       "1    4528  9688-YGXVR  Female              0      No     No             44   \n",
       "2    6344  9286-DOJGF  Female              1     Yes     No             38   \n",
       "3    6739  6994-KERXL    Male              0      No     No              4   \n",
       "4     432  2181-UAESM    Male              0      No     No              2   \n",
       "\n",
       "  PhoneService MultipleLines InternetService  ...     DeviceProtection  \\\n",
       "0          Yes           Yes              No  ...  No internet service   \n",
       "1          Yes            No     Fiber optic  ...                  Yes   \n",
       "2          Yes           Yes     Fiber optic  ...                   No   \n",
       "3          Yes            No             DSL  ...                   No   \n",
       "4          Yes            No             DSL  ...                  Yes   \n",
       "\n",
       "           TechSupport          StreamingTV      StreamingMovies  \\\n",
       "0  No internet service  No internet service  No internet service   \n",
       "1                   No                  Yes                   No   \n",
       "2                   No                   No                   No   \n",
       "3                   No                   No                  Yes   \n",
       "4                   No                   No                   No   \n",
       "\n",
       "         Contract PaperlessBilling              PaymentMethod MonthlyCharges  \\\n",
       "0        Two year               No    Credit card (automatic)          24.10   \n",
       "1  Month-to-month              Yes    Credit card (automatic)          88.15   \n",
       "2  Month-to-month              Yes  Bank transfer (automatic)          74.95   \n",
       "3  Month-to-month              Yes           Electronic check          55.90   \n",
       "4  Month-to-month               No           Electronic check          53.45   \n",
       "\n",
       "  TotalCharges  Churn  \n",
       "0      1734.65     No  \n",
       "1       3973.2     No  \n",
       "2      2869.85    Yes  \n",
       "3        238.5     No  \n",
       "4        119.5     No  \n",
       "\n",
       "[5 rows x 22 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()\n",
    "#gender\n",
    "#SeniorCitizen - это клиент, вышедший на пенсию (1, 0)\n",
    "#Partner - клиент состоит в браке (Да, Нет)\n",
    "#Dependents /tenure - был-нет клиентом компании / сколько месяцев  \n",
    "#Contract - тип контракта с клиентом (ежемесячно, один год, два года)\n",
    "#PaperlessBilling - использует ли клиент безбумажный биллинг (да, нет)\n",
    "#MonthlyCharges - текущий ежемесячный платеж.\n",
    "#TotalCharges - общая сумма, которую клиент заплатил за услуги за все время\n",
    "#Churn - был ли отток (да или нет)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 5986 entries, 0 to 5985\n",
      "Data columns (total 22 columns):\n",
      " #   Column            Non-Null Count  Dtype  \n",
      "---  ------            --------------  -----  \n",
      " 0   Number            5986 non-null   int64  \n",
      " 1   customerID        5986 non-null   object \n",
      " 2   Gender            5986 non-null   object \n",
      " 3   SeniorCitizen     5986 non-null   int64  \n",
      " 4   Married           5986 non-null   object \n",
      " 5   Client            5986 non-null   object \n",
      " 6   Client_Months     5986 non-null   int64  \n",
      " 7   PhoneService      5986 non-null   object \n",
      " 8   MultipleLines     5986 non-null   object \n",
      " 9   InternetService   5986 non-null   object \n",
      " 10  OnlineSecurity    5986 non-null   object \n",
      " 11  OnlineBackup      5986 non-null   object \n",
      " 12  DeviceProtection  5986 non-null   object \n",
      " 13  TechSupport       5986 non-null   object \n",
      " 14  StreamingTV       5986 non-null   object \n",
      " 15  StreamingMovies   5986 non-null   object \n",
      " 16  Contract          5986 non-null   object \n",
      " 17  PaperlessBilling  5986 non-null   object \n",
      " 18  PaymentMethod     5986 non-null   object \n",
      " 19  MonthlyCharges    5986 non-null   float64\n",
      " 20  TotalCharges      5986 non-null   object \n",
      " 21  Churn             5986 non-null   object \n",
      "dtypes: float64(1), int64(3), object(18)\n",
      "memory usage: 1.0+ MB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "      <td>Male</td>\n",
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       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>72</td>\n",
       "      <td>Two year</td>\n",
       "      <td>24.10</td>\n",
       "      <td>1734.65</td>\n",
       "      <td>No</td>\n",
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       "      <th>1</th>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>44</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>88.15</td>\n",
       "      <td>3973.2</td>\n",
       "      <td>No</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Female</td>\n",
       "      <td>1</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>38</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>74.95</td>\n",
       "      <td>2869.85</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>4</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>55.90</td>\n",
       "      <td>238.5</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>2</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>53.45</td>\n",
       "      <td>119.5</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>70</td>\n",
       "      <td>Two year</td>\n",
       "      <td>49.85</td>\n",
       "      <td>3370.2</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>33</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>90.65</td>\n",
       "      <td>2989.6</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>1</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>24.90</td>\n",
       "      <td>24.9</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>39</td>\n",
       "      <td>One year</td>\n",
       "      <td>35.55</td>\n",
       "      <td>1309.15</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Male</td>\n",
       "      <td>1</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>55</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>116.50</td>\n",
       "      <td>6382.55</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>52</td>\n",
       "      <td>One year</td>\n",
       "      <td>68.75</td>\n",
       "      <td>3482.85</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>30</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>51.20</td>\n",
       "      <td>1561.5</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Male</td>\n",
       "      <td>1</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>60</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>99.00</td>\n",
       "      <td>6017.9</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>50</td>\n",
       "      <td>One year</td>\n",
       "      <td>54.90</td>\n",
       "      <td>2614.1</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>32</td>\n",
       "      <td>One year</td>\n",
       "      <td>109.55</td>\n",
       "      <td>3608</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>51</td>\n",
       "      <td>One year</td>\n",
       "      <td>106.80</td>\n",
       "      <td>5498.8</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>1</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>74.30</td>\n",
       "      <td>74.3</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>69</td>\n",
       "      <td>Two year</td>\n",
       "      <td>25.60</td>\n",
       "      <td>1673.4</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>42</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>94.20</td>\n",
       "      <td>4186.3</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>14</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>46.35</td>\n",
       "      <td>667.7</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Gender  SeniorCitizen Married Client  Client_Months        Contract  \\\n",
       "0     Male              0     Yes    Yes             72        Two year   \n",
       "1   Female              0      No     No             44  Month-to-month   \n",
       "2   Female              1     Yes     No             38  Month-to-month   \n",
       "3     Male              0      No     No              4  Month-to-month   \n",
       "4     Male              0      No     No              2  Month-to-month   \n",
       "5   Female              0     Yes     No             70        Two year   \n",
       "6   Female              0      No     No             33  Month-to-month   \n",
       "7   Female              0      No     No              1  Month-to-month   \n",
       "8     Male              0      No     No             39        One year   \n",
       "9     Male              1      No     No             55  Month-to-month   \n",
       "10    Male              0     Yes    Yes             52        One year   \n",
       "11  Female              0     Yes    Yes             30  Month-to-month   \n",
       "12    Male              1     Yes     No             60  Month-to-month   \n",
       "13    Male              0     Yes    Yes             50        One year   \n",
       "14  Female              0      No     No             32        One year   \n",
       "15    Male              0     Yes     No             51        One year   \n",
       "16    Male              0      No     No              1  Month-to-month   \n",
       "17  Female              0     Yes    Yes             69        Two year   \n",
       "18  Female              0     Yes    Yes             42  Month-to-month   \n",
       "19    Male              0     Yes     No             14  Month-to-month   \n",
       "\n",
       "    MonthlyCharges TotalCharges Churn  \n",
       "0            24.10      1734.65    No  \n",
       "1            88.15       3973.2    No  \n",
       "2            74.95      2869.85   Yes  \n",
       "3            55.90        238.5    No  \n",
       "4            53.45        119.5    No  \n",
       "5            49.85       3370.2    No  \n",
       "6            90.65       2989.6    No  \n",
       "7            24.90         24.9    No  \n",
       "8            35.55      1309.15    No  \n",
       "9           116.50      6382.55    No  \n",
       "10           68.75      3482.85    No  \n",
       "11           51.20       1561.5   Yes  \n",
       "12           99.00       6017.9    No  \n",
       "13           54.90       2614.1    No  \n",
       "14          109.55         3608    No  \n",
       "15          106.80       5498.8    No  \n",
       "16           74.30         74.3    No  \n",
       "17           25.60       1673.4    No  \n",
       "18           94.20       4186.3   Yes  \n",
       "19           46.35        667.7   Yes  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_filter = df.filter(items = ['Gender', 'SeniorCitizen', 'Married', 'Client', 'Client_Months', 'Contract', 'MonthlyCharges', 'TotalCharges', 'Churn'])\n",
    "df_filter.head(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Gender</th>\n",
       "      <th>SeniorCitizen</th>\n",
       "      <th>Married</th>\n",
       "      <th>Client</th>\n",
       "      <th>Client_Months</th>\n",
       "      <th>Contract</th>\n",
       "      <th>MonthlyCharges</th>\n",
       "      <th>TotalCharges</th>\n",
       "      <th>Churn</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>356</th>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>0</td>\n",
       "      <td>Two year</td>\n",
       "      <td>61.90</td>\n",
       "      <td></td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>634</th>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>0</td>\n",
       "      <td>Two year</td>\n",
       "      <td>56.05</td>\n",
       "      <td></td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2771</th>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>0</td>\n",
       "      <td>Two year</td>\n",
       "      <td>25.35</td>\n",
       "      <td></td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3086</th>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>0</td>\n",
       "      <td>One year</td>\n",
       "      <td>19.70</td>\n",
       "      <td></td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3255</th>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>0</td>\n",
       "      <td>Two year</td>\n",
       "      <td>19.85</td>\n",
       "      <td></td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4326</th>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>0</td>\n",
       "      <td>Two year</td>\n",
       "      <td>80.85</td>\n",
       "      <td></td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5375</th>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>0</td>\n",
       "      <td>Two year</td>\n",
       "      <td>20.25</td>\n",
       "      <td></td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5382</th>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>0</td>\n",
       "      <td>Two year</td>\n",
       "      <td>20.00</td>\n",
       "      <td></td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5695</th>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>0</td>\n",
       "      <td>Two year</td>\n",
       "      <td>52.55</td>\n",
       "      <td></td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5951</th>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>0</td>\n",
       "      <td>Two year</td>\n",
       "      <td>25.75</td>\n",
       "      <td></td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      Gender  SeniorCitizen Married Client  Client_Months  Contract  \\\n",
       "356     Male              0      No    Yes              0  Two year   \n",
       "634   Female              0     Yes    Yes              0  Two year   \n",
       "2771    Male              0     Yes    Yes              0  Two year   \n",
       "3086    Male              0     Yes    Yes              0  One year   \n",
       "3255    Male              0     Yes    Yes              0  Two year   \n",
       "4326  Female              0     Yes    Yes              0  Two year   \n",
       "5375    Male              0      No    Yes              0  Two year   \n",
       "5382  Female              0     Yes    Yes              0  Two year   \n",
       "5695  Female              0     Yes    Yes              0  Two year   \n",
       "5951    Male              0     Yes    Yes              0  Two year   \n",
       "\n",
       "      MonthlyCharges TotalCharges Churn  \n",
       "356            61.90                 No  \n",
       "634            56.05                 No  \n",
       "2771           25.35                 No  \n",
       "3086           19.70                 No  \n",
       "3255           19.85                 No  \n",
       "4326           80.85                 No  \n",
       "5375           20.25                 No  \n",
       "5382           20.00                 No  \n",
       "5695           52.55                 No  \n",
       "5951           25.75                 No  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_filter.loc[pd.to_numeric(df_filter['TotalCharges'], errors='coerce').isnull()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Gender</th>\n",
       "      <th>SeniorCitizen</th>\n",
       "      <th>Married</th>\n",
       "      <th>Client</th>\n",
       "      <th>Client_Months</th>\n",
       "      <th>Contract</th>\n",
       "      <th>MonthlyCharges</th>\n",
       "      <th>TotalCharges</th>\n",
       "      <th>Churn</th>\n",
       "      <th>TotalCharg</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>72</td>\n",
       "      <td>Two year</td>\n",
       "      <td>24.10</td>\n",
       "      <td>1734.65</td>\n",
       "      <td>No</td>\n",
       "      <td>1734.65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>44</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>88.15</td>\n",
       "      <td>3973.2</td>\n",
       "      <td>No</td>\n",
       "      <td>3973.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Female</td>\n",
       "      <td>1</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>38</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>74.95</td>\n",
       "      <td>2869.85</td>\n",
       "      <td>Yes</td>\n",
       "      <td>2869.85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>4</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>55.90</td>\n",
       "      <td>238.5</td>\n",
       "      <td>No</td>\n",
       "      <td>238.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>2</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>53.45</td>\n",
       "      <td>119.5</td>\n",
       "      <td>No</td>\n",
       "      <td>119.50</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Gender  SeniorCitizen Married Client  Client_Months        Contract  \\\n",
       "0    Male              0     Yes    Yes             72        Two year   \n",
       "1  Female              0      No     No             44  Month-to-month   \n",
       "2  Female              1     Yes     No             38  Month-to-month   \n",
       "3    Male              0      No     No              4  Month-to-month   \n",
       "4    Male              0      No     No              2  Month-to-month   \n",
       "\n",
       "   MonthlyCharges TotalCharges Churn  TotalCharg  \n",
       "0           24.10      1734.65    No     1734.65  \n",
       "1           88.15       3973.2    No     3973.20  \n",
       "2           74.95      2869.85   Yes     2869.85  \n",
       "3           55.90        238.5    No      238.50  \n",
       "4           53.45        119.5    No      119.50  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_filter['TotalCharg'] = df_filter['TotalCharges'].replace(r'\\s+', np.nan, regex=True).fillna(0).astype(float)\n",
    "df_filter.head()\n",
    "#df_change = df_filter['TotalCharges'].replace('', np.nan)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Gender</th>\n",
       "      <th>SeniorCitizen</th>\n",
       "      <th>Married</th>\n",
       "      <th>Client</th>\n",
       "      <th>Client_Months</th>\n",
       "      <th>Contract</th>\n",
       "      <th>MonthlyCharges</th>\n",
       "      <th>TotalCharges</th>\n",
       "      <th>Churn</th>\n",
       "      <th>TotalCharg</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>4325</th>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>20</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>20.35</td>\n",
       "      <td>442.6</td>\n",
       "      <td>No</td>\n",
       "      <td>442.60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4326</th>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>0</td>\n",
       "      <td>Two year</td>\n",
       "      <td>80.85</td>\n",
       "      <td></td>\n",
       "      <td>No</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4327</th>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>2</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>19.60</td>\n",
       "      <td>35.85</td>\n",
       "      <td>Yes</td>\n",
       "      <td>35.85</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      Gender  SeniorCitizen Married Client  Client_Months        Contract  \\\n",
       "4325  Female              0     Yes    Yes             20  Month-to-month   \n",
       "4326  Female              0     Yes    Yes              0        Two year   \n",
       "4327  Female              0      No    Yes              2  Month-to-month   \n",
       "\n",
       "      MonthlyCharges TotalCharges Churn  TotalCharg  \n",
       "4325           20.35        442.6    No      442.60  \n",
       "4326           80.85                 No        0.00  \n",
       "4327           19.60        35.85   Yes       35.85  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_filter.iloc[4325:4328]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 5986 entries, 0 to 5985\n",
      "Data columns (total 10 columns):\n",
      " #   Column          Non-Null Count  Dtype  \n",
      "---  ------          --------------  -----  \n",
      " 0   Gender          5986 non-null   object \n",
      " 1   SeniorCitizen   5986 non-null   int64  \n",
      " 2   Married         5986 non-null   object \n",
      " 3   Client          5986 non-null   object \n",
      " 4   Client_Months   5986 non-null   int64  \n",
      " 5   Contract        5986 non-null   object \n",
      " 6   MonthlyCharges  5986 non-null   float64\n",
      " 7   TotalCharges    5986 non-null   object \n",
      " 8   Churn           5986 non-null   object \n",
      " 9   TotalCharg      5986 non-null   float64\n",
      "dtypes: float64(2), int64(2), object(6)\n",
      "memory usage: 467.8+ KB\n"
     ]
    }
   ],
   "source": [
    "df_filter.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "      <th>Client_Months</th>\n",
       "      <th>MonthlyCharges</th>\n",
       "      <th>TotalCharg</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>5986.000000</td>\n",
       "      <td>5986.000000</td>\n",
       "      <td>5986.000000</td>\n",
       "      <td>5986.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>0.161377</td>\n",
       "      <td>32.468760</td>\n",
       "      <td>64.802213</td>\n",
       "      <td>2294.221559</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.367909</td>\n",
       "      <td>24.516391</td>\n",
       "      <td>30.114702</td>\n",
       "      <td>2274.164124</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>18.250000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>35.650000</td>\n",
       "      <td>401.587500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>29.000000</td>\n",
       "      <td>70.400000</td>\n",
       "      <td>1408.575000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>56.000000</td>\n",
       "      <td>89.900000</td>\n",
       "      <td>3841.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>72.000000</td>\n",
       "      <td>118.750000</td>\n",
       "      <td>8684.800000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       SeniorCitizen  Client_Months  MonthlyCharges   TotalCharg\n",
       "count    5986.000000    5986.000000     5986.000000  5986.000000\n",
       "mean        0.161377      32.468760       64.802213  2294.221559\n",
       "std         0.367909      24.516391       30.114702  2274.164124\n",
       "min         0.000000       0.000000       18.250000     0.000000\n",
       "25%         0.000000       9.000000       35.650000   401.587500\n",
       "50%         0.000000      29.000000       70.400000  1408.575000\n",
       "75%         0.000000      56.000000       89.900000  3841.500000\n",
       "max         1.000000      72.000000      118.750000  8684.800000"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_filter.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Gender</th>\n",
       "      <th>SeniorCitizen</th>\n",
       "      <th>Married</th>\n",
       "      <th>Client</th>\n",
       "      <th>Client_Months</th>\n",
       "      <th>Contract</th>\n",
       "      <th>MonthlyCharges</th>\n",
       "      <th>TotalCharges</th>\n",
       "      <th>Churn</th>\n",
       "      <th>TotalCharg</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>634</th>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>0</td>\n",
       "      <td>Two year</td>\n",
       "      <td>56.05</td>\n",
       "      <td></td>\n",
       "      <td>No</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4326</th>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>0</td>\n",
       "      <td>Two year</td>\n",
       "      <td>80.85</td>\n",
       "      <td></td>\n",
       "      <td>No</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>356</th>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>0</td>\n",
       "      <td>Two year</td>\n",
       "      <td>61.90</td>\n",
       "      <td></td>\n",
       "      <td>No</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5382</th>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>0</td>\n",
       "      <td>Two year</td>\n",
       "      <td>20.00</td>\n",
       "      <td></td>\n",
       "      <td>No</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5375</th>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>0</td>\n",
       "      <td>Two year</td>\n",
       "      <td>20.25</td>\n",
       "      <td></td>\n",
       "      <td>No</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>4866</th>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>72</td>\n",
       "      <td>Two year</td>\n",
       "      <td>118.20</td>\n",
       "      <td>8547.15</td>\n",
       "      <td>No</td>\n",
       "      <td>8547.15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1510</th>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>71</td>\n",
       "      <td>Two year</td>\n",
       "      <td>116.25</td>\n",
       "      <td>8564.75</td>\n",
       "      <td>No</td>\n",
       "      <td>8564.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2039</th>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>72</td>\n",
       "      <td>Two year</td>\n",
       "      <td>116.95</td>\n",
       "      <td>8594.4</td>\n",
       "      <td>No</td>\n",
       "      <td>8594.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>126</th>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>72</td>\n",
       "      <td>Two year</td>\n",
       "      <td>118.75</td>\n",
       "      <td>8672.45</td>\n",
       "      <td>No</td>\n",
       "      <td>8672.45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2402</th>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>72</td>\n",
       "      <td>One year</td>\n",
       "      <td>117.80</td>\n",
       "      <td>8684.8</td>\n",
       "      <td>Yes</td>\n",
       "      <td>8684.80</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5986 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Gender  SeniorCitizen Married Client  Client_Months  Contract  \\\n",
       "634   Female              0     Yes    Yes              0  Two year   \n",
       "4326  Female              0     Yes    Yes              0  Two year   \n",
       "356     Male              0      No    Yes              0  Two year   \n",
       "5382  Female              0     Yes    Yes              0  Two year   \n",
       "5375    Male              0      No    Yes              0  Two year   \n",
       "...      ...            ...     ...    ...            ...       ...   \n",
       "4866    Male              0      No     No             72  Two year   \n",
       "1510    Male              0     Yes     No             71  Two year   \n",
       "2039    Male              0     Yes     No             72  Two year   \n",
       "126   Female              0     Yes    Yes             72  Two year   \n",
       "2402    Male              0     Yes     No             72  One year   \n",
       "\n",
       "      MonthlyCharges TotalCharges Churn  TotalCharg  \n",
       "634            56.05                 No        0.00  \n",
       "4326           80.85                 No        0.00  \n",
       "356            61.90                 No        0.00  \n",
       "5382           20.00                 No        0.00  \n",
       "5375           20.25                 No        0.00  \n",
       "...              ...          ...   ...         ...  \n",
       "4866          118.20      8547.15    No     8547.15  \n",
       "1510          116.25      8564.75    No     8564.75  \n",
       "2039          116.95       8594.4    No     8594.40  \n",
       "126           118.75      8672.45    No     8672.45  \n",
       "2402          117.80       8684.8   Yes     8684.80  \n",
       "\n",
       "[5986 rows x 10 columns]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "q1 = df_filter['TotalCharg'].quantile(0.25)\n",
    "q3 = df_filter['TotalCharg'].quantile(0.75)\n",
    "iqr = q3 - q1\n",
    "lower_bound = q1 - (1.5 * iqr) \n",
    "upper_bound = q3 + (1.5 * iqr)\n",
    "remove_outliers = df_filter[df_filter['TotalCharg'].between(lower_bound, upper_bound, inclusive=True)].sort_values('TotalCharg')\n",
    "remove_outliers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Gender</th>\n",
       "      <th>SeniorCitizen</th>\n",
       "      <th>Married</th>\n",
       "      <th>Client</th>\n",
       "      <th>Client_Months</th>\n",
       "      <th>Contract</th>\n",
       "      <th>MonthlyCharges</th>\n",
       "      <th>TotalCharges</th>\n",
       "      <th>Churn</th>\n",
       "      <th>TotalCharg</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [Gender, SeniorCitizen, Married, Client, Client_Months, Contract, MonthlyCharges, TotalCharges, Churn, TotalCharg]\n",
       "Index: []"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.concat([df_filter, remove_outliers]).drop_duplicates(keep=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Gender</th>\n",
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       "      <th>Married</th>\n",
       "      <th>Client</th>\n",
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       "      <th>TotalCharges</th>\n",
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       "      <th>TotalCharg</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>5269</th>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>28</td>\n",
       "      <td>One year</td>\n",
       "      <td>18.25</td>\n",
       "      <td>534.7</td>\n",
       "      <td>No</td>\n",
       "      <td>534.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5789</th>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>59</td>\n",
       "      <td>Two year</td>\n",
       "      <td>18.40</td>\n",
       "      <td>1057.85</td>\n",
       "      <td>No</td>\n",
       "      <td>1057.85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4121</th>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>36</td>\n",
       "      <td>Two year</td>\n",
       "      <td>18.55</td>\n",
       "      <td>689</td>\n",
       "      <td>No</td>\n",
       "      <td>689.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5292</th>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>53</td>\n",
       "      <td>Two year</td>\n",
       "      <td>18.70</td>\n",
       "      <td>1005.7</td>\n",
       "      <td>No</td>\n",
       "      <td>1005.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>248</th>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>2</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>18.75</td>\n",
       "      <td>53.15</td>\n",
       "      <td>No</td>\n",
       "      <td>53.15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5183</th>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>67</td>\n",
       "      <td>One year</td>\n",
       "      <td>118.35</td>\n",
       "      <td>7804.15</td>\n",
       "      <td>Yes</td>\n",
       "      <td>7804.15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4457</th>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>68</td>\n",
       "      <td>Two year</td>\n",
       "      <td>118.60</td>\n",
       "      <td>7990.05</td>\n",
       "      <td>No</td>\n",
       "      <td>7990.05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5158</th>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>61</td>\n",
       "      <td>One year</td>\n",
       "      <td>118.60</td>\n",
       "      <td>7365.7</td>\n",
       "      <td>No</td>\n",
       "      <td>7365.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262</th>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>71</td>\n",
       "      <td>Two year</td>\n",
       "      <td>118.65</td>\n",
       "      <td>8477.6</td>\n",
       "      <td>No</td>\n",
       "      <td>8477.60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>126</th>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>72</td>\n",
       "      <td>Two year</td>\n",
       "      <td>118.75</td>\n",
       "      <td>8672.45</td>\n",
       "      <td>No</td>\n",
       "      <td>8672.45</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5986 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Gender  SeniorCitizen Married Client  Client_Months        Contract  \\\n",
       "5269    Male              0      No     No             28        One year   \n",
       "5789  Female              0     Yes     No             59        Two year   \n",
       "4121    Male              0      No     No             36        Two year   \n",
       "5292  Female              0      No     No             53        Two year   \n",
       "248   Female              0      No     No              2  Month-to-month   \n",
       "...      ...            ...     ...    ...            ...             ...   \n",
       "5183    Male              0      No     No             67        One year   \n",
       "4457  Female              0     Yes     No             68        Two year   \n",
       "5158  Female              0      No     No             61        One year   \n",
       "262   Female              0      No     No             71        Two year   \n",
       "126   Female              0     Yes    Yes             72        Two year   \n",
       "\n",
       "      MonthlyCharges TotalCharges Churn  TotalCharg  \n",
       "5269           18.25        534.7    No      534.70  \n",
       "5789           18.40      1057.85    No     1057.85  \n",
       "4121           18.55          689    No      689.00  \n",
       "5292           18.70       1005.7    No     1005.70  \n",
       "248            18.75        53.15    No       53.15  \n",
       "...              ...          ...   ...         ...  \n",
       "5183          118.35      7804.15   Yes     7804.15  \n",
       "4457          118.60      7990.05    No     7990.05  \n",
       "5158          118.60       7365.7    No     7365.70  \n",
       "262           118.65       8477.6    No     8477.60  \n",
       "126           118.75      8672.45    No     8672.45  \n",
       "\n",
       "[5986 rows x 10 columns]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "q1 = df_filter['MonthlyCharges'].quantile(0.25)\n",
    "q3 = df_filter['MonthlyCharges'].quantile(0.75)\n",
    "iqr = q3 - q1\n",
    "lower_bound = q1 - (1.5 * iqr) \n",
    "upper_bound = q3 + (1.5 * iqr)\n",
    "MonthlyCharges_outliers = df_filter[df_filter['MonthlyCharges'].between(lower_bound, upper_bound, inclusive=True)].sort_values('MonthlyCharges')\n",
    "MonthlyCharges_outliers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Gender</th>\n",
       "      <th>SeniorCitizen</th>\n",
       "      <th>Married</th>\n",
       "      <th>Client</th>\n",
       "      <th>Client_Months</th>\n",
       "      <th>Contract</th>\n",
       "      <th>MonthlyCharges</th>\n",
       "      <th>TotalCharges</th>\n",
       "      <th>Churn</th>\n",
       "      <th>TotalCharg</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [Gender, SeniorCitizen, Married, Client, Client_Months, Contract, MonthlyCharges, TotalCharges, Churn, TotalCharg]\n",
       "Index: []"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.concat([df_filter, MonthlyCharges_outliers]).drop_duplicates(keep=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2274.1641236389473\n",
      "30.11470163388811\n",
      "24.51639063752671\n"
     ]
    }
   ],
   "source": [
    "print(df_filter['TotalCharg'].std())\n",
    "print(df_filter['MonthlyCharges'].std())\n",
    "print(df_filter['Client_Months'].std())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Графики"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "#увеличим дефолтный размер графиков\n",
    "from pylab import rcParams\n",
    "rcParams['figure.figsize'] = 13,6"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(5986, 22)\n"
     ]
    }
   ],
   "source": [
    "print(df.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>MonthlyCharges</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Client_Months</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>382.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>25845.90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>10966.95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>9820.35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>8553.60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>6649.80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>5420.30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>7172.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>11089.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>24930.90</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>73 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "               MonthlyCharges\n",
       "Client_Months                \n",
       "0                      382.25\n",
       "1                    25845.90\n",
       "2                    10966.95\n",
       "3                     9820.35\n",
       "4                     8553.60\n",
       "...                       ...\n",
       "68                    6649.80\n",
       "69                    5420.30\n",
       "70                    7172.70\n",
       "71                   11089.25\n",
       "72                   24930.90\n",
       "\n",
       "[73 rows x 1 columns]"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dynamics_by_month = df_filter[['MonthlyCharges'] + ['Client_Months']] \\\n",
    "    .groupby('Client_Months').sum()\n",
    "dynamics_by_month"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Оплата/мес.')"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 936x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(dynamics_by_month.index, dynamics_by_month.MonthlyCharges)\n",
    "plt.title('Распределение оплат по мес.')\n",
    "plt.xlabel('Месяцы')\n",
    "plt.ylabel('Оплата/мес.')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Видим очень ровный график посередине и значительные всплески оплат клиентов с мин и макс сроком обслуживания в компании. Первые - случайные скорее, которые быстро отваливаются. Последние - постоянные клиенты, доверяющие компании."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>MonthlyCharges</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Client</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>No</th>\n",
       "      <td>281403.45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Yes</th>\n",
       "      <td>106502.60</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        MonthlyCharges\n",
       "Client                \n",
       "No           281403.45\n",
       "Yes          106502.60"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dynamics_by_Client = df_filter[['MonthlyCharges'] + ['Client']] \\\n",
    "    .groupby('Client').sum()\n",
    "dynamics_by_Client"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Оплата/мес.')"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 936x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(dynamics_by_Client.index, dynamics_by_Client.MonthlyCharges)\n",
    "plt.title('Зависимость оплат/мес. от статуса Клиент')\n",
    "plt.xlabel('Клиент')\n",
    "plt.ylabel('Оплата/мес.')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Этот график намекает на отток клиентов, которые принесли больший доход, чем текущие клиенты."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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6FqzBda/uBcDw9hMPBwCs6dyDnGOBAAwVSzhp7jRkHBuFootN3QNY1DIDbXOmRvoW12HUhyN7AH9cZbvuMwDK44EdvD38+QCUtiTzqRcLgT/Xv9qNXz6/E1OyNqY3ZEP+em57L2ZNqcOSo5vLbXTuPFD28RFNDThx7rSyfbK9bO3L3Xj+tV40Zh0cMaMO6zf3IGNbmFGfwa6+POZMzWJa/Ui/wRjXvtyNPX3DOLNtVnm+xFge2dsZWpoaMZezZ+3L3djc3Y+cY8GxLZw0dxp27B/C5u4BzG9uxJKjm/Hq7j6s/vMeLJw3HRnHxv7BQsiHwXdCcN5Rsxqwbd8g+vMuTjh8OpYc3Yye/jw6uvZhUcsMNDVmsfblPdjcPYCZjdmyf8Q1n2Y+gzHvHyyW7dHNOe+f7b2DAAgNGQvPbe9FzrExtS4DgPlrKvx953137g7NuTeHe/DU5h5s6xnEsFvCtJyDN7bNwmkLZmL9pr3o3N2Pk+ZORbEENDVk0DNQwILmBgwUStg/WMCO3kFs6h7A/OYGHD693vett6Z7+vO4d91mvNY7hONe14gXd/Xh8On1OLNtFrp6BlHnWJhSlymP8cBQAV09A2jM2nj7iYejbc5UrH+1Gz/p2A63VEJ9xkbzlByOmFGHV/YMYNkxszCjIYuOrn1Y0NyAjGOjMWtje+9g2adzp9dje+8Q9g/m8fKuPmzYug/T6jOY2ZBF85QczjhyJgYKLrb1DOLPOw9g/1ARp85vwmkLZuKFHQewp2+4HL9i27LfFOH5il/L4w1ijI23DYnQ3t7O1q9fP95mGEwArOrYho//6BlkLAv9+SJKVYSwbREIDPUZB4VSCctPnYf7ntiCYsk7bpF3DgAU3OrXSl3GwlChhJxNIIuwvH0eVq7fioxloVAq4ZYLT8YFi46oup+JCH7e0o61kmur6a8aiP1WM8dpx7CqYxs+9sMNoVgNYq1W/SaxKe31DMB1KzvK6w4AHAv4yvJFYAA+/qNnUCiWUOkSXLGkFZ975+vLfbMSw7DLUJfxXpqL9vG2ZGzCly9eiAsWHaG0XffZYKEIIkKdY0eOB3ZkbELBZcjZhBIAxrw9abDg7W/BHsfbEudvBoRiwbGAo2Y34qWd/bH+IgC3vXsR1m/ai7sf3xI6ZpG/LxKFfLj81Hn43uNbkGaKbAKIEBpjMF+nzp8ZiWUZLAIYQ6p+dSBU15ZjAZee3oqVT3lrfqjoludzqOii6LJy++J8ytavbs6T+IcH/33XN1wMjZMA/N3iVtyzbktV36k6VOtbADh8Whav7c+PaZ9p2hZ/UwR7i25fGQ8Q0VOMsXbpMXNjYDCZ0N03jDf9+6MYKpTiT56EqMtY+P3H/2rCPkmoFLJ5SzrWSq6tpr9qkCQ+R2vc3X3DeOMXH8VwUd53LfoFEGtT2utzjgXGSsi7UVuyNoEIGC5W/z31wBWL8b5vPyGdG96+N37xkUh/OcfCg1edifPuXCPYTgAo5POcYwFgSpvjjsch51j4ww16f8vsSguHgBq4vWJkbQt59+Dc53kE8wlAuX5lc65b6wYTB3UZCz+/8kyce8dj0n2Fn9exhO7GwGgMDCYVtvYMImMdvGGbsSxs7RkcbzNqDtm8JR1rJddW0181SBKfozXurT2D5bdbo9VvEpvSXu89YZP7jIhgU23W++o/71HODW+frD/bInR07YvaTlbE57altznueBxsi2L9bZNHraoG4//IcPwtGAsE86lbv7I51611g4mDjGWho2ufcl+ZiN/3RmNgMKkwr6kehdLB+5SkUCqVeagHE2TzlnSslVxbTX/VIEl8jta45zXVw9VwAGrVb5xNaa93SwwMcp8xxuDW6AfismNm4RuPvSI9xtvnsqgtbsnTD0VsZyWAUeRc3Y/auONxcEss1t/eGKr74Tj+PztHkwQyccDPp2r9yuZct9YNJg4KpRIWtcxQ7isT8fv+4H30anDQ4sNntSFrExoydtVfXh5XFpiac1CXsbBiSStsrlGCx6Wt1cMZj0bg8b6D/uoyVrn/Wy48+aCjEQFA85Qcbrnw5IrGWsm1aa/p7hvGhq596O4bln7eufOA9Lis38+cdwKyjoXGnF3VHAdjyDlerOcckl4b2AgAt150MjJ2OFgzFimvFdtZ/dIurH25G//wxgXIOVGbZX79zLknYGvPYNk3Ot/zxxqzNrI24cbzTsCXLl4ER/g2cizgSxcvxK0XLURdxoJdxRpcsaQV7Uc2l/vO+Y3VZayyfYAnCv3AmUeGvhgzNuHWi05G25ypkXHdeN6J+MCZC5CxqTzft150Mm48/8RyDDiW10Zwza0XnVweU2CH428wOZuQsQmO5e1JjoXQ3pPx/bW1ZxDrX+3Gd37/Kn69cQfe3d6CjA00ZgMbFuLWi04O+dQm4LCp2cQ+u/mdJ2HFktbI58Ge6fh2ZW2P8nXBwsMSt11uC948i1N77kmH4WNvOzbRvjv+NzBhOBawvH1eef4zNsEmb+8Xx5qxCVe+uQ09/Xls7RnEjeefEF2/NuEDb1qAtS93Y/VLu7H+1W785oVduO5tx0bOjQPB83nWpojfCN46GU1/1qLtw6clj+Fa9ZmmbfE3xS0XenvHrRctDK3HYF+ZiN/3RmNgMGkgCgeztgW3pBckLmtrxvvfuAD3PL4Fv3tpd+i5pE1AXcZGsVTClW8+Bpee0Yo1nXtw/QMbUCoxjJaM4YKFh+ODZx5lshJNkKxEKqFsEqGqqi2bCAW3hM+efyLeu3h+xeNe1bEN1z/wDGyL4JYYbr0o3LfM9je1zcLG7b34w8vd+PaaV+HYlvRasR9RyOhYwEfeciwuPaNVmVXouW29+PyDz0tFxrox3/v4Ztz88+eRtQnFEuPs1mclevRPO3Hbo52htk6bPwN/+4Z5VWUlWtO5JyJ+zvo/uj57wYl47xnzpWO/6Wcbyz6zCfjcO0/ClDonEgPvOOkwacage9dtwZ2PvgTHslEsubjqrzx/A/IsNl17B/H5B59H0S1BRi93LMLN7/Ts1YlTgx80f3vKXLzn9FZkHBuP/mkn7vhNZ1l46ljApWe04v4ntoDgzdPly47CvKaG0LiDscv24TOPnokFsxqxZe8Aft/ZDYawyNixCH/7hiPwo6e2hq5XtadD8H7Bk1cQPnzW0ThmzpRIVqJvPvYKHn1hFxw/Zt93xny0L5iJ+5/swprOPSPtEZCzLRRLDG8+bhaGCiU81tldPv7OhYfjxvNPxDU/6MDqP49cd8aRTdiwtbc8/6e0zsC6V3vKxy3/JiHvlgDm+YDfXy5YeDh+/PR22AQUSgylkvq9yfL2eTjv5MPxxV+8gOdfO1D+/PVHTMWFb5iHF17bj5VPbVOKid/QOh0btvYiQwRGwCXtLbh33ZaI709pmY7j5kzFyvVbQ9+hjr8vyZp/09HNmD0li58/8xpsi1BiDDddcBL6hou45ZcvevPFGI6YXoeufUOoc4C8C1x06jwsPWa2J3xfuznS31eWL8TLu/pw+6Od5X5t8ub/LX/xOhx/2DTc8Whn+TrHIlz/9uNw/OFTI1mJ7lr9MlZzc3r8nEacv/AIZVaiA0NF3PLLF2CBwMBw9VuOxdknHYbtvYN45E+7cN8Tm5G1w78pJmpWIiM+Npj0qEZ0/MAVi/Hebz2hFWoFAiFRXDhaePiaZaEfKwbjA5VQVhcLKhFvrQXPce1VKxLm+0kqeqzFeKu5bskXHpaKlKtZT974o4JjnW0qn8nE0rWKl6R7YCCUPveONbHi1LDoOl7MWomoWSf6Hk2o5k3m83s+cDou+vrjyrayNiEvuVP51opT8cG7n6qt4SnxteUn46Mrn4l8/q0Vp+L/3ffHmgj3vZtkJl17umvEtZAkfnRiXa8NtXg/5xAYQ2SuZPtY584DeOtXV0faUO0ltdpvJwrGTXxMRMcRUQf3bz8RfZSIZhLRr4noz/5/m0bTDoPJj2pEx6v/vCdWqBUIhMZK2NzhUz8MxhcqoawuFlQi3loLnuPaq1YkzPeTVPSYxr5Kx6W7TiVSrmY9qQTHOttUPpOJpWsVL0n3wEAonUScGhJdJzi/ElGzTvQ9mlDNm8zn/BN/GYjko/7V8zurM7IG+PmzO6Sf/+r5nTUT7hOpEwSowIBI/zKxvgidWJdvR/W5bK5k+5hqz1B9Xqv9djJgVFcrY+xFxtgixtgiAKcCGADwYwA3AHiEMXYMgEf8vw0MlKhGdHz49LpYoVYgEBorYfOilhmhv1Uc98mK0R5PrdpXCWV1sRAIVUUb0oiFk9gf157uuOpYY9aO9KsTMurEcZUKvGXXDbsl7DkwhAfWd6Fz5wHldSWJgA/w1lPSmJDNm0wYGEA2JpXPGGORtvKui669A/j5hu1Y/dKusl6lMWtr/Sfa2Zi1MZwgfWfBLWFBc0MicWredcvxkvR8NyXLYNkxs8YlYcRw0ZXOm5gCtVAqYdkxs7RtqZgVbzthTnVG1gDnvV6u7Vhy1EwUa+R3xtQJAlQolRiKpfArhmLJRTEmhocKRRTdEgqu+vWEar0WSi5KkjEH+xi/psTv4ACqzyvZbyeisDgJxvI2/i0AXmaMbQbwTgDf9T//LoB3jaEdBpMQgWgxrdjKtgj/9tALcEul0JMKQlgQGAiEAnFhwPccDaxY0hp6VbmqYxve9O+P4n13rcOb/v1R/LRj26j1PRYY7fHUsv3mKTksP3Ve6LPl7fNCsSCKYpe3z8Oazj0RG5IKnpPaH9deUpFvcGx5+zycd+eaSL9rOvfAlXyZWgStOK5SQTl/XbDOCsUSPnj3U/jYA8/grV9djRtXPRu5bk3nHo/4LWDFklZsfG1/Ip/KfN88JRcRBgJhYbI4Ju+a8H4UiKUvaW8JnVtwGa78/tO48vtPY8W3n8Rbv7oay//7DzjvzjVY3j5P6j/RzhtXPYvz7lwDSvCjvOAyvOeudbjktHmx+2WxBPy+c49yPIFwPhBJF0vpCj2Kom9xX83YhBVLWiMi40oEo+JQ8y7DbY+8FPpMjPWM7Yny249sxpltzaFzLU5A+qWLF0aE2CuWtOItJxwmFWgTvGt1/rfI8zEvhM8IomAvla8aK5a04l1vaMFSwXYC8M8/ejZ2rpIKed99eos0QYAOLgNcFra/WFJrR4K2CyXghh8/J9X4BYLdqHg/OIMi1wXXiHv286/tl86pipKYdr+dzIlExkxjQETfBvBHxtidRLSPMTaDO9bDGNPSiYzGwCCOCxyHnEP48sWLysJGQF22PBAnvrDjAK5Z2SHdYB0CPv+uk/DZn24McRq9DCNMEDJa+OQ5x+PMtlkRIeRk4ybqMNrjGWsef+fOAzjn9sdC8yvjyYrcf5XottJibTrhclx/QSyLmokkupok3P1KhdUy36r6lvnNsYD7/3Exjpw9JZFPk2g2AmHg3On1ZWFynO5h4/ZeAFTeU9JooYI54PuqVRHHQGuwvXcQAKFQdHHFPU9FRMs8/1ocj2oNqGATcMPZxyNjE85sm60UfW/vHUIgwASiReUylkdfSdIn4PHZb77gRHzix89FjgVxpCoE94cb3gJAVniP8M0V7SGRaOfOA+jo2hcStK9/tVuqT/j0Ocfj1l+9qC109+BV3tx7PhnEP969PsLJf/CqpXhy017t2ADgked34PJ7nkKSmnA2AV++WK5NkNs64icvQUAe167ckHh+aoGMTfjF1UtDe8LWnkEUii4u/dYTyEt0Cxkb+MXVy9DUmFWu/Z7+fGROdUiy306GRCI6jcGY1DEgoiyACwB8IuV1lwO4HABaW6N35QaHFrb2DCJr2xguFiu6PmvbaJnZgIXcq0LZ4g2eAABAf95FnWOj4Eb7rM86yNgWco6NPHc861gAQ+g1as6xcEprU2TjCbiJQ9xr2oCbONE3FhlGezy1bj+uvf68G5lfm6L5Fflr+Piphf269uKOB8c2+JoJsd8Oyec8Orr2xX5Zxtmngsy3qr5lfqvPOMg4dmKfxp3XPCWHZcfOTjUG75rXlf+W+VmHjGWhP++G9iSZnZXAtgj9ebds34aufX7GFDdyXtgHrwsd78+7cGwLeQ21I4BjWTj9yObQeALwccLHVGAXv69nbBsgJOoTAHKOjdd6h6THgjiS+eTikIYAACAASURBVDVr22UeuOzY9PpsKIba5kyNrAeVPuHPu/q031dZOzz3/Xk3cn7W9jJnZWy1tiawZ9bUOjRkHBwYjv9+bMg6eGXPQOx5AWzy1snClhlYduxsbOjap127o4GM768A/N6Wsy3pjUGd46A/76I/r177CxPeEIj9pj02mTBWVKKz4b0tCJQ6O4nocADw/7tLdhFj7BuMsXbGWPvs2ek2bIODC919w+gdzCf+opAhDecv4CI2Zu0IJ5VvT1r0qBTlGav6TstNHEstQiV9JRlPJe3y8zHePH6XlSJ87NEqWsaPIY3fkugfBgtF7BvQrykZ37Zz5wGtFiAp4nRDC5obtOem5feOBQ84rRYq75bQO1iIaD5qwcmXFsVSFFkSbfBqWuzGzzdsR9feARQTPhlmkOtv+Hb5z1X7umyN6ZB3XaVOoC5jo7tvuKoY0q29hfOmS/t92wlztPM4XPQ0PwF0Nqh47z0DeV+7slv7XSUi77o4fHpdonMBbz6CeV390m507R2o6ru4Eqj0Trr1Mlz03sYcbBqA0caYUImI6H4Av2SM/Y//960AuhljXySiGwDMZIxdr2vDUIkOXfC52oeKrieEYunzXK9Y0orPvfP1qfsruvI8zUvbmvG9yxbjxlXP4u61W0L9tM+fieslufFl+GnHtkTnqvLtjwaq6Us3nkraFa9Z3j4PK9dv1baRpp84/8uOA0g8v2n7k40hiPv6jBPbn2rsQb9uiYWocQG/W/wdFsQ3jxt/8izufjwc60nWlAqBTYViKZLHPuNYoXHq/JbUp0nPqwZ8H4OFIhgo8iM3ZxNKgHJORTuXt8/Dfeu2SGsXyGBbhK8uXxgZ2087tuFarl6Dx2EP28CASE0HaR9CrQECcNu7F4EB2rog5TGdOg8rn9qqjG/AW2NBHRFd3xmb8J7TW/C9tVsie3XOJpBFsetWto9/7p2v1+4lqloRgS/4/mSx4FjAV5YvShTHon0iLIquYRVsyyuamOTtQmCjGBdJ+svYhMVHzgzVf7Atr4ifSJVT7UNBO1++OBrPAQK/AcBQoVSOD772DFD5nn0wYlzrGBBRA4AuAEcxxnr9z5oBrATQCmALgIsZY3t17Zgbg0MTcl6oV9gsRSptAB4Pde0n3pI6x7oOshzdfG7jpHzDJDzysdIi1KIv2Xgq5der6gyoOOBjxeMfzWJtcXFYaW58FR9ahoBXzPOr0+T9TorAF3sODEU48OI4a8HvHQseMN8HAGzc3isUV4ryyXVjBZLVGQggzp1oW1BI7rofdgicdguMlbT56jM24fuXnVEuIvfc9l7MmlKHJUd7Ati0dUH4vj1O/7RQzJ1zx5oQTSRrE76yfBGu++GGVPUUdPtymnomSWs/iP01Zm2pVkOcK118rn+1G+/+5joUU7xNqQRZG/jK8lNCerw4fV/GBj53wUmYWucAoHKsi/4LtBsNGRvvuWtd6KbK0wEuxLT6TLkIWdJiYDrNQSXfyQc7xlVjwBgbANAsfNYNL0uRgYEWMl6obRHALBRTcnCJSMvlVvWnQ5CjW8VdTLr5xHETx1KLUIu+ZOOppF3VNSIvu9p+KuHxV8MnrWS+eajGEzf2Td3pecVBH7q839XcGPBc4XqBIy2Osxb83rHgAYt9yHj7EV69ZqweD99K/EM44M6rNFQBT1y0wbYIrmsBmv2vzrGRcezy+ms/cuTrvVIti2ezhen1mZDN/Xk3wh/POTaGCm4qfwR2qPZl1bqR2c3np9fl5Bf729C1T6rVENeZLj4zjo2sY6GYptJYBcg5TkiPt6FcV0Ddb53j4IS500P7siweAu2Gd01Yv+fpABvLbVTC/ZdpDir5Tj6UMSbiYwODpBCflki5gW4JrIInJoyxch531RMDWZ5rHZYdMwvfeOyV0GfDbpg7GqCaJ5VjyZGsZV/8mGXtBnnUa2WLirM8Efmk4SwtXuaYudPryllKdPzkvOuidzCP7r7hUCxJawT4PFtAnaNbhoBXHECX91uM7bSx7s1bQZpjPsm8JelPZyMgf4pczRs/3WeFoouhQpjGodo3gPS6g+GiG9INRN9YDGFbzwCGCgK3vxSfr56v4yGOT1cXJI6TLpvrQtHFUDG6lr320j0YSmt33nWlGrKhQhGNWRtNjVmtDkIcj6pWRKHkrU9VvAWZovYPFgGwVNqLSpF3S6HvyrhaH0ByXU/edfH89l7s7c9HhNkyPVra70yjJ6geY5autFoYKtHBjzhuNICqUvitWNxa5rSqOIYih1qHgMcLIGQfz2mthlsvYiz40bXsSzZmACGOcxx3NI0tlXLyxwOBrUA0poP4CbQU4jkEwLHJe9omGZsYw44FOPYIX1/kKlsEMIYQN1vkPpfblvCwT50/M7UGROaLgIdNpB5b3PVJNSe8jbI+VTz5pP3Lrg8+A+T7mGzf4CHqA+KQswkuY1KNgwzBnAOQ9sPHkc4/svXKACkXX+xbF8cZm2D7/pHpIDI2oeCyMr9c1CHIYjXE4Rf64/d30R+8rz76g44QL15cbzx+2rEN1wl+qMtY3g2ZZL+SaRgs8t5+J71BELUAFnljq3Ns9OeLSp1AoEMI7Fm/aW/IPxZ5/+L2WFFzI8YVAZiSi7YxWjo3Aw/jqjGoFcyNwcGNJPnkz759NYQHXHAs4IZ3HI8v/OIFrRg5YwGWZSlzzwNqDrUOfC5kkT/K8xprpQ8YyzzJ1XLoVZzdc+9Yo52HSmxRaVFEzvJEQFIdS13Gwj0fOB2X3rVOmy9czMWvaltcT2s696DOsfDZn22M5JD/xUfUugE+l7ssP7iuXxGq3PJi/ngVkuhJ0uqGco4FgGn5/3H2i3UuZJ+poOsrjc4gLfh6Bt5++1joB2nWsfDQVWdqc8Kr9BFx/uf7BtR78QNXyOtW8Mg6Fv7r0lPwT/f+MXH9EUDOoQ9qDYh7VtDeg1ctjRwL/KRaP919w1j78h5cu/IZ5VsP1V5Z7sPXWRwYKuDGn25MVXQusFumc9FdI4vpB69amqLex3588DtPSAuX3fmeU7Dk6Oaq9GiyPo2eQI1xr2NgYBCHJPnkM5YdKZOedWzMaMiiIavP32yRFeGDipxeFYdaB55vKuZ15o/VSh8wlnmSq+lLx9kVucFJfFEJJ1/GWZ4ISKpjyVgWNnUPxOYL5/2na5s/L8jHLuOZ12WcUL5wEXwu9yR5+3Xzq8otL+aPVyGJniStbsjTMBF4PnUaTYeszoXsMxV0faXl1acBX89AVr8l5+eR1+WEV+kj4vzP9w2o9+JN3QPIOLa2vZxtoWegkKr+SPk4ojUeOrr2SbUENsn3s5yQb19E85QcWmY2IudYyhuDYK9UaRgc20LLTC+dr6rOjgpBbYTp9dnEdYFkvgvaUWm9eDRPyWF6fQYWyfUrQwU3FO+jpXMzSAZzY2AwISDnIobzyYuFeQAgX3RRcEux/FWGEtxSuGyHmKe6LiPn9+ow7JZQKLrYsX8o8oXNtz8ZOI+1fMKi4xqPhi/i4ictalFtWMW3b8zaGE7Aj1ZxnEXwGgIdF12m5/A0Ncn1GEk0QCJ07SXJHy9WI27M2uWnlEn4xGn5+W6JoSS8Sc+7JTy9pQeNWTv0JFhV58K7sdB/poJKa1Cr+gYqFLl+5VqVErr29uP4w6YpfS7TbcTpZYBojnqVnqUu42VC0t0cqfYZ2RzwsaKq8VBwSyhI+iuWSqjLRGsHDBeLeHrL3kisACNv25oaMto9IO96bavqRwT+6unPJ9pLwm27yu8lFeJ8J0K2B/YO5lFS6BTE+TY6gfGFoRIZTBiI/Eued6rKFx0g4DvaRJGc1zwfVMY75LmMfcNFac0CFQiInM/nTk6bZ328MBo1ElRjHi1f6OInDeJ8EZfXXJWrnee2B7nZA160DIH+AgjnQi+xMGdYjDdVvnOZnmNVxzZcu3JDiK+sqk2gGrdMsxA0l2QOVPGwqmNbhEdeaX5ykT++tK0ZT27uiWgMAm1KsI/UZSwUXKb1j8x+kY+9YkkrAEjnJagl4NiWUqMk6yuwlSgcQ4GP0moMxH51cfSe01siOhJedyBqfHR1GFQ6o/fd9TjWcPnvAxvF/Z3nzMftM4A6VmQ1HhhjUg4+z6/n40f8/uBjJYl+bWrOicSgrO+vXTJSL0JW50EE/z3F+zuJbkW2DyXVesnqVYj7nWq/mejfmZMdRmNgMCngcWgfiXB7k+TABjxuNFH49WzWtvDQ1SN8T9mTjDT84yTI2MAvro5ytCcq53E0ayToMm3U2heq+EnLS9X5QncciOdSi8jahPsuOwMDBRf7B4uR3Ox82xu37/c5wXpesm6tiGORcdZlOfDT5HkPtxXmjqsgW5dxedP58QDq/ORJamEAXuYekXOtunETazfEcepluoWMBXz1Eo9brdMo6d5Iya4LYirj2GV71r7cjWt+0IFCKTy2699+HG755YsRMWySeX3wqrD/dLEv46g7FvC1S8Lccn6MSddS1iY8dLWc6562/ghf4+HalR0RbY9jAZ9/50m4SdDl5BzCTeefiE/8+LmIfQ9fswwAEunXPn3O8bj1Vy9q4z7wfZLvRBWS1mLw+hvZD6qtvxLYf9P5J2C46OLMttnalKQT9TvzYIDRGBhMCngc2mhu7yQ5sAFfR2BTqDhPzgnzPUXeYVr+cRJkLFvKMZ2onMfRrJGgGvNo+EIVP2nGEecL3fHg/9PEUs7PCb/syGZprno+//b0+oyWY55krYhjUXGnRZ+lyfPOI2sn879sXcblTefHo8tPnrQWhoxzbZHsnWC0dkMcp16mW6jLeLnig7lQaZTEcfF9ya7LCXUGAKBlZoNHw+F0WHWOjaaGbISjnmRebYtC/ovTEcg46vXc+EWk2ZcdW13XRLbP6Pae5ikjNR5kNQeyto2MbUXiJGvbeK13SNpmGu3an3f1xfL+A91DNd9b/J4Vp1vha2JUovWKtmdF6h2oMFG/Mw92mBsDgwkDFU+8LmNjuBhf0KXglgBS6wiS9lktxPzvOkyEJyKTmc8ZVydB5KvHvb1Q5d0OagbE9ZE2lvhrG7PROI87Lp4bp0kYFnjk0rzq7ohmIeBEL2huSKwZ4RHoPNK+OUqSNz2wQdZ+mrjg+xTPU71RV3HgVfUYPK54uC3ehkrqdaj4+yotSRrNT9y8Foouuvb2o2tvUDCPaesKpOWox8V6qO1SfH0aEbz/ZG8aGrO2930ioFhyfV1B2LahooujZjVI+6rL2DhsWrK9ve11U2L1ckW3JLUhDYI9be706jRCItJojsbybbJBOhgqkcGEgoxDK+NaxnGz0+RBF/Ms8znNT5vfhMcEnisPMVd2Gl77aPD6K8Vk5HOq6iTE6UjiPufbkOW4V/UBRP0o5vQX4yng14p1DUS+t+y46/PLddxqkfNsE5Bx1DUNgBH+fvv8phDHm+flq/qTaSDObGvGesl1cfEv4z/LNAZiTn1ZHYX1m/dG6i+oeM1inY3FR86UzpmIYDwyzrdNAPn551V7UyX1OmT8fRVnX1aD4nPvfH2sFsgT4Mb/Tgi4/hYQGf/StmasfaU7Uf0SWayXAOl3gUrvkKRuBt++uNZkeja+fshQ0UXRZYn0aFNzTmLtWjBWTwCvPk+sfcBrOgYKbuiGnwD83ZJWZd0OsV6KYwHFUnxdDRXi9kBdHYyJ9J14sMNoDAwmFYJKj6ocy0EO54/e/zRkVMyMBXzr709LlAed71OWTePcOx5T8j2ztoW73t+OudPrypVrk+bMH01ef6WYTE9q4rj+cToSFY86jtOflNMue3rdmLWl/cns4HOhy+znc8qrq6WqNQlptDs8HrhicZm7LnvKVyi6uOjrj2vbiPO9bByqrERAkhz56vz1SWoFBPUkNnUPYFHLDCknOiknPq5GQ2X1OuLHl0Q7I+u3c+eBiIZBh4wFgNQPbXibRR2Lyk4x1r1K4UMIYiJJHOna569T1Q6wATjO6KWKrRR8rRZgZE/q6c9jTeduzJpSV9ZwqPYEXm8TrC3Vm5SkiKsynnY/nujfR5MRRmNgMKng5TxW51jOOTaGCi5sy0JR8rrXsqzEedD5Pvnzm6fksKFrn5bn7NiE6fWZUF73pBhNXn+lmEx8Tp3/RL55Gn58HKc/CaddFktBPCW1g8+FLrM/ON42R63h0GkS0mh3eGzqHsBF7S3KMT+wviu2jTjfi75bduxsZVuJcuRr8tcnqRWQsSxkHFs6bv66JL6Mq9FQCYc7yfji9htVv/15N7aOBg/LskAACjHPx3neetz4ZLGuq6ORtm4Gf52qdoBjR+vgTASItVr4/4rfSao9Qaa3qRaqPRBQz1nSPcFg9GHFn2JgMPbQcUwLpRIWNDcoOciMMfQOFtDdN1yVDYWii2ENj7OgyDeeBJOZ1z+W6O4bxoaufZG5TOO/SmsqVDpHaW2u1I6AVx30I/ar4/sm4ZHLIOPW8/2quPc8houuUrMgjknVT4AknOa860YeIPA85zifqc7lkVSrlKQtHknsc1kpohUR41SlX9H5O824AjCWjF7D194ARsYp00yIOiHRH6o6HKp4UWkhhvy4lOlu3FLUxxMBw0WvvkbnzgORY0nXy1h/71S6DxqMHeybbrppvG1IhG984xs3XX755eNthsEYYFXHNnzgu0+CiFAssUjB0CVHzcSdv30ZluUd50HwuLy/2rgT31zzClpnNuC4w6altuHGnzyLT63aCB3TrsSA+57YjAXNjan7aMg6aJ3ZgN+8uAv1GRuW5fGlT2ltSm3rwYpVHdvwnm8+jlVPb4/MZRr/qc5d0jZL20Ylc1SJzUns2HVgCBu29pb7WXzUTHzp1y+V+9l1YAjX/XBDqN9TWpvK7Tq2t1ZyNpU1BmK/DAwWAY1ZB5blrbMtewfLfa5Y0ooLT23RjndRywzMnpoN2Qp4XPCMRXCZp3H436e3YXn7PLy480B5zMtPnYdPrXpO6juVX2U+vfSMFmzc3lvmaJcYACLY3NhuufBkbNk7EGmT9xk/F7Jz+TXP2yH7ccz7Pa4tXSzJ7Lv1ooV42wlzlPEj7qeBLTp/y8YF6HnvgW7gbSfMwS837gj54PBpWfQNj/yAtyzC/U92oXVmA17YcaA8znvWbY7ERTAWmT+27B3ALzfuDNXN+NLFC5U+/vXzO/F/z70mHUeJAT98aqv0BqAEoG12A7r7C2oHpMRxcxqxV9GeRWGpum158RusoQAuY/jtS7tx9+Obsbd/GG8+fg6AdOtlrL93Kt0HDWqLm2+++bWbbrrpG7JjRmNgMKFQSV2BjEX4x2VHoqWpIZJfuhKOYufOA4lyTgdQ8WWTYDLx+scSSTUYafxXaRaMpH1Ua7Pu87RrQsYfV/GGZfqa4JwgK5GMW6/Tbpxz++pQ2mDv4TBF8vTz3Gad3iPOr+IYlnzhkQgvXuRjJ+XcJ+k/QOfOAzjnjjXIc1SNrE246/2nJeo3zrc6TYDqMxln/74Pno73ffuJxHxuT2uwRpt56IErFqP9yOZU+6esvoNYY0KlE5JpK1Q5/ivV1CRFxiZ8/7IzMFAoYXvPAD7z042JBNsZC0hqTs6x8OWLF0rrKwR4+JplaGrMplovE03TNhFsOxRgNAYGkwaV1BWoy9h4+4mHA0DVeeyBdHmnAXne96SYTLz+sURSDUYa/6nOjWsjaR/V2qz6vJI1kYQ/ruqX/3+dfkan3cg5ToiX7lg2QAjRPnhus44rHvy/zq8ih9mxojnobYvKfOw4bnoSTrRszffnXeRsK3RjkHPsxP3G+VY3p7LPVJz9Td0Dqfjc/XkXjlAjRsSm7gG0H9mcav+U1XeQcd6TaiuytpqrXm3ufx3qhHokYm0IFSyygIT2ZG0LQwW95qOjax+OmTM11XoZL1S6HxuMPsyNgcGEwrym+sT5qwMEudKBaB55GUdRlYHohR0HsKdvGC0pOY1p6hYcykjzJGg0ubDVPJHSPX2vtc26XPVxSKqFqObJnI4rLD5ZluWxHyq6KPhrPW19CL62hPgUtDFrS/VHbmlEe5RkrnT+V+Vij9Mo9A7mlZx4HjIuvMjL523k55B/y5OWz62qB6CqecEj0Jck0ZkEKLolkPDjXpxbVW2IQqnkF6Djr5WPLe+62DeQx2AhmYg6LYLaEd19w+ja25+4H5biJiWJLmhRyww0NWZTza2BgQhDJTKYULjxJ8/i7se3aM8JkkPwvNKgdkBcLnA+T3KQz9m2KPb18tK2Zvzhlb3SL0dVXnODEVSSn3o0aitUkydbzFPP59JX1TGo1GZZrno+F3jc30lzuVdrp2y8DMBH7+8IcaTFPPY84vLpi/3IakvIahl8b+2WkA0EYErOSVSPIs7/ulzsKp8E54p55mX7x6qObbhOqOEgxptsDtdv2hvaP1csaQWARPUL4mLopx3bcJ0kv3/g29vePVK/RayZENTAEGs8iHUIVDn2Zft1UMuDgcr+DL4L+LmV1daoNYJx8PUk4hDUF4i7Rqw9EsxboVgK6Q34ORD9r6olYnDowtQxMJgUSMvt55EkJ3clXG3A4wg/dPVSZU0Dk2tZj2pqNtSSb1qtHbr857Xk7+q4+yLvWpUrvBZaiDT28m/g3vjFR5S1P1R4+Jpl5ZoNuvoQsjzsMp66jH/OQ1ePIon/geo0CjJbdP2L50trX9iQUn3Ez1X6kyQ55Dt3HsDZt69GQdKPeL6oT4nLo7+9d0hZd2NkLAQGJu1ftAPwapFc9t31Wm3EeCIuTgHvpuMXVy8NUfqCWj8f/M6TIY1CUi2F+c4yMBoDg0mBtNx+Hkk41ZVwtQGPI9zRtU9ZV8HkWtajmpoNteSbVmNHXP7zWvJ3VXaKvGtdrvBK2q+FTiau9ocKHV370DZnqnYMzVPkedhlPHUZ/5yHrh5FEv9Xq1GQ2RKcH7dPqfjyXs3h6DXi5zI7k2of+vMu6hxHyp8Xzxf1Kar5C3yrq7sRwLEtgAEFTRppsRbJBCw/UEZcnAIj/uHh+TKLuoyDwnBYU5dES2G+swx0MDcGBhMGabipIpJwqtPm5Obb1nE7Ta5lPSZC7uxq7YirCVDLsYy2v0az/XlN9cr6IjokXfvSPP4lBggJQmWaBh668SbxT7V1NNK2LZ4v249UfHXxc5WmIcl4ql0HabUkImRzrbNjXlN9oroK44W4OA3OqbY+iwjznWWggylwZjBh0NSYxbknHRZ7nm0RlrfPQ84hNGRs5BzCLReenOjp8y0Xnoy6jIWpOQeO5edXt6MbMwFozNmoy3jczrY5U8vX5vzz6zJW+fhEffISV0gpaaGlaq4T/T5ePuPtaMzayNqEz5x7QiI7+GtHe/5Hy1/BnAGItP+Zc0/A1p5B7XwmmfPmKTncetFCONw3S8YmrFjS6vk9Z0cekK5Y0hqhSaj6aZ6Sw7V/fSwcm1CfsZB1LNx4/gm49aKF5fHkHMKVbz4GN55/QvmzjO3lgW/w5/3DZ7Upx9fTn8eHz2pDzvH6sC3giqVHRd7O6OaIH4N4bsb2nuHXOVZ57wKgPD/Yp/h+mhqzvo0j/X/2/JMi++eKJa340sWLpHaKNn7m3BOQscJ2yTIfVbIOdLF3y4Uno6c/j9+8sAvXvvVY5BwLDVkbOcfC8vZ5yNiEOsfbp288LzzXdRlrJLYka9qLx5NhCyLlttkNob+XtjWX2xTfMAR/5mxCXcbC8vYjkLUJWT/Gg/Evbz8i8oPKsVC2j5/7nG0hawM3nncirnzzyDxmbAr17/h1KlTZe2S+5L+rRB+N5/5rMHlgNAYGEwK8kO7AcHxGB48+wJDL2HBLDLdelFxMFfBqn9vWi8+sei4kSjtqVoP3Kt+2UHBL+Oz5J+K9i+dHrlXlhJ9IiBOYVipArfS6iZKf+t7HN+Pmnz+PrF/0K40Qbyznv5b+ks3Zm9pmldfB5x98Xjufaec84JMDDCfOnY7mKTnP7z/bCADIuwyO5f0I+tLFC5WiX7EfMTmBDSDj/9B5U9ss3LtuC/7jN53I2t71nzn3BJx0xHQ8t60Xn/v5RpRKQKEUFY7LhOX5Yim0Nyxta8b3LlscGac4R6oxdPcN4951W3Dbwy+VRaOi+FY8X1ZfYk3nnnL7edfFlW8+BjMbs+U5HC4WcfGprfiHNy0o33CJdsrE1bwINihWpprjNOtAF3vzmupx28MvheaUANRn/ErNRCGhdmAXf305thRrelXHNlz/wAaAAcUSw7mvPwwPPbejPFabgK9esijU5o+e2opbfvUishZQLAEfe/txOOPI5vJacSyvJsfH/vpYnHGU9/lNPxupXWARcMWyo3CZf0MZ+OvedZuxcv3W0Fin5JzyPF56hicW37i9FwDhxLnTKtZhVapBMjg0YMTHBhMalYqCeaQVU3X3DeONX3xUy2etpN2JgiQFkioRoNZauDrWmOz2VwLdmIFkxcOq9VkS8XacLbrkBCrRZZwYM23hq6CIV5px8uNLIszW+TZpoa+0bciQcyz84Ybq1kVc7FSScEK0K218x7WpE5+r4uvcO9ZEvkvEwpdxYz3Y9yGDiQXdjYGhEhmMOwKxXTXgiyEl7TOJJi1tuxMFMp/yY4k7Xmm7Ex2T3f5KoBtzEn/Uwme6NZ7UFl1yAl50meTzpMdFrP7zHu3xOF97wmw9dL6VtW+T5b1BraINGWyLql4X1cxpUrvSxndcm6r2dPEl+h8YKXwZIG6sB/s+ZDB5YMTHBuOGago4ieDFVJ07D2BN5x7MmpLD8YdNRX/ejbzyTipKCwrXTDbIhGl510XX3n70DuYxd3plAlR5u6Vy4Sgdx7iWr7Erba9WwltZ/2M5xloWi6tEaDvsFydLWjApqWhVZ4tOoKwSXeZdF3UZO1JUTLwuaTrLZcfMinzGz0Vj1sawpBBXMIYkwmxZ8bYAUvG1tHhcMVIMLYDMRhncEtMWhxTjPmnRv7w7UmxrQXOY658EbomFinXJxhPsSXOn1ynnnkfRJv6sPwAAIABJREFULZV9nkbUm3dLKPj/Im2WwvtinMBe/K6ZTLRVg4MLhkpkMC5QFRASC+DoIBYsumDREdICaRmbUHAZcjaBLBo5VygCA0QLMcVxbScyxKJQfJEfHbc5TbtDRReMMdRnHGUbtSqmVav2qi1CJutfVeyqUujGWOticUn8Ia4ri7xYkhV5i7NBLMzEF/iKs0W2Zvk1qiqEFsSpTRQpTseASDExGWQaA34ugj4Yg3Z813J9xRX4kvlV5iMAoXZFv4j2DhdK2gcjumtlcR9X9I8vjEYAHHtkjKfNb8Jjnd3lfiwCMhZJvwdsi/DeM6L+soBy/26JlfekoaJXTI4vhrn4qGas4foLwNu+fvPe2KJwQ0UXRZdp/ZjkO0fm8yTFFA0MqoHRGBhMKKg4nPd84HS856510sqaMuQcC99c0V4WaCXlq6r4ojnHwoNXRfmik5n7GYhAL/vuk8gLfg3GW8nTqKDAjleQaKTd0eCni/3Wor1Kn+7XguNdSR9pNAG6dit5A5GEk57Uhs6dB3DOHWuQ1/gqzpYlX3g4VLBL5HLrCqF9c0U75k6v0xYq4/EvF5yAXX15LDtmVkRbkJSrLxufKMzWFf+S+VUmLF3yhUeka1zHnReRsYCvXnIKlhzdHBGyRuM+WlhOZren51JrK4K9f1P3QPmpuhgjAbI2gQjKtjI2QKCIH8LX6wuKycYljmfj9l5/T1U2Exkjr6vo8N+WvPdbT0iLvek0MZP1u8hgYsEUODOYUFAVENrUPeA9jUrw6hcAsraF6fWZ8iaZlK+qKgKTtS2/kFm0AM9kLQYTFBVy/AwmPGyLIkWz0rWbjRR9S1KsqRp/1qq9pMXAkvQvK1I0WmMM/r/WxeJ0x5IUBkxqQ3/eRc62Qj/60hSI29oziJzjIM8V2MraduR6WbGsYL/gU6PGFR/b1ZfHtW87TmlLnF9U41t27OzQObriXzK/ij7a2jOoXOPB9Unsrcs4aJnZEOlPGveSwnIyu7f2DCqLQwbnZhwbF7W3APDmRIyRAEGBM1UBvYxlAwQlfcix4guKycYlFoWbXp+FY6kpalG7Rq4PCr9tUHzX6AqUTebvIoPJA3NjYDDmUHGWmxoyqbQGeTfMhU5aJGmo6GJBc0OEV6zikU72YjCqolMyDnHadlW+0ulHKvVnd98wegcL0nkL2kv7JiDt+Uk53nFj1PUrXR8+L7upMSv1J8+5rlbzIF6XpDBgNYXi0sRDnHYmeAIfp4UBvB+7haLrpcVUQKYp0NkiQzB3cYjzTVzMqNZ4EBtxY1X115i15euuWIKKkMT7Ok2BN2+N55U/uD2akLqtYskFaQTehVIJFunvDGRF1ETdR9pCfuIYN27vxf7BYuLvIFk7SWHSlBqkhaESGYwLIvnIyePlBv9NCp6/CwDvu+txKX9URPDVwHcl45HWgi8+ESDjNtdCOyHzlci3D/Qj1fiT5zereNhpufeVahVUHO+kMZOkX9n6yDiWtK/lp87Dyqe2aueg2hoVtdAY6PxXqUZEpp0J4lrkcweaJFFvEGiQRBw3pxG/vOasRLbItFEqbVPSsaWNbXGNB2N2bIJtEYYKJRDkdYP5+OL7A4ChQgk5m+AyFvK1DqL+C4hqIES/yPQajm2V+ye/sKWKow9ENQgDBTdUB8EmgAggGvFJ8J3DxzIAqVaF973ob9silEphzYFsjB/T6C34tq+vgcag1voug4MHRmNgMKFQi7oFPB6+Zhna5kytul2eq3wwPmWRcZtr1S5fiEmVA7zSzBoqXr+nLxnhaKfh3lerVag0K1GSfpPm/A+e5sq0MjqOtG5MSfO3Z23CfZedgYxjVzyn1ayvJNqZpLUJVKhGN5GxAFD4hqNSLUiaWO3ceQBn37YaSYft2ISvv/cNmDW1TttfNVDl+s86Fh666kzl3i1qQhqzNs65fXUsrz+Y/+29gxEN1Mg55LddL81aB6i1KlG9wX7sHyzguh92hPrK2oS73n9aWQOnqp2TteGfF96Tq81KdCjWbDFIjnHVGBDRDAB3ATgJ3sOKDwB4EcAPACwAsAnAcsZYz2jbYjAxkJSbmxQdXfvQNmdq1e0GeacDHunBtnnKuM21ajfwlYyznbGsirUMgDxesraN6fXZirUM1WoVZPGRJGaS9KuL4+DchS0z0DwlJ/V3HEc6rW0yznPOsZFx7IrntNr1Faed0fG0k6Iq3YTtcd15vVSlWpA0sdqfd1GXcVBIUD0eAOodG7Om1oXmsdb7cxBDIp8+Z3v7gqpPUROyoWsfvPxDersC7ZRMAzXStrd/8HoTEUl0H8Ge6ukFwn3lHDukgdvaMyitd+BY4b2M77+aNVJrfZfBoYOxKHB2G4D/Y4wdD2AhgD8BuAHAI4yxYwA84v9tcIigUHQxFMN1TYNAW5CU86uCyya3lkBEd98wNnTtK3Oqa3WuDkl40kn66e4bxuqXdmP1S7u0OoWgvcZsVAio4+POa6rXahVqhcC+9a9244H1XSgUXa1GII6TnaTGgFtiEf6z6C+Z/3X529P6StVP584DeGB9Fzp3Hkh8jeocFc+74JbQ1JBJlKtfh2p0Ey4rhSgsQXv8PCdFGl1GoehiMMXeymsBgrmRxWg10NUA4HUIcTFWKLrSegEiAu2Ubh0NFYro2jtQngdV7Km0KqLvVXMkrmsxJgBPFxHoF2qJWtVsMTj0MKpUIiKaBmADgKMY1xERvQjgLMbYa0R0OIDfMsbkqR98GCrRwQFZnQEdMrb3hIXPRc1D1BiouJnL2+fhe2u3KHNOOxbwleWLDhr+ZRpuaa15qNXwpAN7rtPkepfx6AcLRTBQ+Ys3bj5lfdS6XkUwXrfEQpSS4+Y04sWd/eW/l7Y148nNPVLNAoAQxzpNXvs47UfStsQ8/3G+SqpT4NduktiQnQPI8/cXXFbmjss0BASP6sHrAkT+vbi36CD6bXn7PNy3bks4hk9riWhBaqnLEP3r+I/9ZHx6HjmbUBD2VzFGAw2CWHMgCVQ1APj6JzJ/8TGW5nuDX/tBnwCk409Sz0Wsw6DaWyIxINH+ANDWdKi1BuBg1MsZ1AbjpjEgokUAvgHgeXhvC54C8BEA2xhjM7jzehhjTbq2zI3B5EfSOgMisnY4L3XWtvDJc47HmW2zpK+CZdzMV3f34aKvPx4591PnHI/jDptW5oEeDEjDLR0tHmqlPGlVznOx5gKgzz/P52+X2SbTLPC58KtFNTxtmY4gjmMcp3kAktc/iLtO5ytdjRLZ+nv4mmVoasxWpLvg/bT25W5cu7JDmb9eRM6x8OWLF+K6H25Q5rRPuw74fSeqyQCIrKpqXeh0Gaq99YErFuPI2VPKdm3vHZLqMuKQdSzc98HT8b5vP5E6pmU1AFTc/wB8jFXyvSH2GWSgSlInRxZ74p4Ut3ZkMcDHa5CVSIy/0dAAHIx6OYPqobsxGG0qkQPgDQD+izF2CoB+pKANEdHlRLSeiNbv3r17tGw0GCMkrTMgQkwvl3MsnNLapOSHNk/JYWHLDLTNmVrmYq/+8x7puQeGilh27OyDasMMuKU8+Dz4lZ6bBsEciLz5uH629gx6dQEE8DUX+JzsKmRt9Rhk1wa58GuFOPt04HnAYhyrIPpb/CzNPMddp/OVqh/V+uvo2pfINt05zVNyaJnZgJwTnxI0gPcE3UXWVs9R2nUQ+K0/70ZsdSw7wi+vtH1ZHKj21k3dA6E4ml6fSeWnADl7pM5MWvDjDGoAZG29DXyMVfK9Ifa5sGUGMo6dyH5Z7In2xq0dWQzw8brs2NehZWZDJP5qsfeqbDqYvuMMRhejfWOwFcBWxtg6/+8H4N0o7PQpRPD/u0t2MWPsG4yxdsZY++zZtRdNGowduvuGUZdJ/4UERNPjyTiecVDlI184b3pFNtUKteL280jDLVXVlEiSd12GNFxdmU1Jai509w2ja28/hhQFk4Bw3nERY8G9rUbvIrNdFydJYkiX179z5wHl9Y1ZO5L7Pk67IfOtav0tapnh9RHDL5fZwcdpWn+7JYa6jB3htetsAOLnYfVLu9G1dyCid0miOUjS9uqXdkWOe3ur/Ku8LmOFzq80LuPy68ddGzeXIvLuyJvBpPVpVH0Gfi0U3UQFyZLoeOL2iyTXGA2AwUTFqKcrJaLHAFzGGHuRiG4C0Ogf6maMfZGIbgAwkzF2va4dQyWavOC5wf35YuiHfpAPXYWMTRF9gUXA1y5JpwdY1bENH7m/I/J5XcYaN97laOaYTsMtHauc2Ult0tVcELUBAMo51oNc46q845X6p1IEfYgag6VtzVj7Snco/znB41vLbNdpA9LEkIzjLeaJl7UNxOscVP2ENAZCXYEVS1px6vyZ+PiPnsFwIVwqa2lbM7532WKpHbK88wGfnOdvAx4f/NIzWkP8dZW/Rd67OE6dr8W45PtQ6T74+h66mNXpYUTfiJDNmci7T6Ix4HUCoqYDkO/jjuVVKk4SU7EaAyF2xDUkIrA3zj9JNAa8z9LsF0muMRoAg/HCuNYx8HUGdwHIAngFwD/Ae1OxEkArgC0ALmaM7dW1Y24MJidqnRM7gI5DLrNBxlsPMB65nccix3QabqksF3vavP5JNQRJbJLVXFDNY9a28NDVZ6KpMRubd1zsY7S5tzy/eVP3ABa1zEBTYzaSz1zFec85BICk4wGS6wZ4e3Qcb13bfN75pOMWfdu58wA6uvaV/aDbG1T6A53NYnwE+wQAZb55viYGAKndcRoHlS7Ga3dEv6TjoCcdU9B2mloNMt68qF/p6c+jo2sfFjQ3RLQEYXvCsZu1LfzXe0/BB+9+KtLvA1csRvuRzUofBjElWxOizXzsBLUPNm7fj+09A/jMqudCtRtU9Td4ZGzCL65eWm4rSQ2StPvFaLVrYFAtxrWOAWOsA4Cs87eMdt8G449a58QOYFuUOB/zCG9d/hp5PHI7j0WO6TR5sKW52FPYk3Q8SW2S1VxQzaNje/qDtjnxecfFPkZ7zvk+gh9IGyQ53bO2Vea885/bZI2U6fbB85DTxhDP8Zbld9e1zeedTzNuHm1zpoby0uv2ho6ufThmztTY/YO3WRxXoDVZ2DJDmW9erImRtu4FAGlc2haF8tjzfokbe5K209RqEONCVYejbc5UZS2SER9bkZvaDVt7pf1u6h4ox73Mh0FM9ecHY9ctHzuBvcGcirUbVPU3Qj7h4jnJXlDJfjFa7RoYjCZG/cbA4NCGjD9cC/Cccxn4pzDzmupRLKl/0IwHr3Mi8Uu7+4bRO1iIzSOue7JVK62CmBGH7y+J/iAun/hoPZVT+Ub2uYpTL+Nwu6zkFysLnxuMN65mhMwm3ZrUtc3nnVc9xU3jmzi+e/BWIY7XrrM5yFfPx5DIM+f57CroNBpzp9fFxiUPb73ltXz3vFvC01t60NJUj4Jk73JLzK8vkexGLViLsjcFAEJvtRY0N0T2guB62XwEGpLbH+2M9MvrA1S1ChqzNp7ctBcDhfCNqhhvskxnwVhU9Td0sRP3HWJgcKjC3BgYjBoCfif5dDVZPvEksC1CqcTKHOSMTbj1opOVP/BELvDy9nlKLqpjeRzlsX5i0zwlh1suPDnCLx1rO3hfuaUSMkJO7cCeOC47P55Aq2BZhPPuXJOYN8v3oeJ733rRwoj+gI8FmV+Xt8/DeXeuGTUer8o3ss8DvUCwJniefNucqdKY+OH6rlDu+NPmN5XHq4qhOJvENclz0WVtDxVduKUSPnzvH8vtrd+0V1mXIM43wVwtb58X4o7zbQU3GrL5FDnhos1BDBZKwJXff7rMWWeIcuFLDPh95x5tTIhxJfrjktNaIhx52R7F+6PEvP1H1DoMFFwMF0u46WfPA/BqCPAI2t742n6tPiu41mWAZRHOvv0xMMZgE5W1RG6JIaATq/ZIAKG1LIu5bb1D0joQ/M3ibQ+/FH4b5msL/vqrq0PX2eT1x/tXrAkgxoAsJtrmTFXGV9x3iIHBoYxR1xjUCkZjMLlQS21BziE8eNVSbO8dAs85r0W/abQKo4Hx5Jeq8vkHfOskOeRl+dQr0SrEzVs0F3pYfyBrLy6feC38rfKNjN+ccywALMQXz9qEh3yes2h7wPuW5XB/+Jpl5WuS1oyQ2ZS1CfdddgYyji2NQZUmIeeEaR8qu3RxIzvuWMD9/zjCS5f5RPb0mEfnzgM4+/bHIg8hsjaBiKR2J40JlT8C/+r2KPl6G9EhAF49hiu//7S076xt4SvLT8aSo70MT3H7XNa2wMAqehijglhjQ1XrImsDaz/x1tCbJVkcZyxANgTV5zq7fn7lmaF6HzJ/Zyzgq5ecgiVHN5ubAoNDGuOqMTA4NFFLbUHW9l57i5zzWvSbRqswGhhPfqnMVyLfWnWeisteqVYhbt74NmT6AxE6LncttRwq38j4zbZFPi1ohP6Rc+wIb5+Pid+8IM3kjI6ufeUf4GIMpbEp59jIODYWKlJCxmkSdHbFxY3seH3GQUaSZ18co27dBDnkCwLNJqgALEPSmFD5w8u4pt+j5OvNCukQhgpqalDOsdAyszGRRgHwtDdgFPFDNQj8xOfFl9mSc5yQP1W1CFS3LBZZQIrvjsD/fBzL/F2XcdAys8HcFBgYaGBuDAxGBdXkcReRd1107e1H72Be+7agkn4nC880zZuFpOemqS0Q0Q+4Jal+oFLtRNy8qdoQOdNedddBAIQT506T5kwfkmgfknDlZX137R3AkMCNHi66WNDcENULlBjEn0JxvlHlcJd9ruNc510XBbcUqf0gahKCNzFzp9eXn76mWVMLmhu0dsTVHqiFzkatRSlBVbpHjIm0ehqZtkOsWJ1kvLqc/cPFEc59Eu1W0S2B5PdBFWOw4OL57b0hbYKK459kXCrzSpL500Hl/4mi4zIwmEwwVCKDUYOYHz/guyaFTQD5+bEDLq2Y31rXL88/5fm/AZK0NRGQJld92toIaWoLiLnPVTntK83NLcuzr8opz481iC/HCvOkCd5TU6/KbXjy+bm/8SfPxnLlRazq2IaPCTnzxfz6Mt4zgNS+keX/j+Pyizny+TUERPPbq+pDBOfI7F6/eW/IroxPhufnLbBDVSNjtPK4y/Lt12W8N1kqXr5jAV9ZvkhbN4JvX2a3GJOVjFecb9FGIgJjDIzp91PbIrz3jJEc/cGairsO8OoSNGZHtA8AQrFOAGxfH6Hi+MeNa8WSVrTPn4mP3N8R0RgQIVTXIYmmQKbrSWKXgcGhiHGtY1ArmBuDyQkZ5zwJAi7otSs7kBe+xZLoAmSc5CCPOQBMq3di3z5MBKTh91daGyHpG4bOnQdwzu2Pheaj1jUCdFmJ4saaFjnHwr0fPB0Xff3xyDGeKy+zUcy5LoOM9xxcn9Y3ujcaOk3B9t4hXPbdJyNrKKj9EORwT1LnA4jOx/pXu/Geu9Ypeex1GQv3fOB0XPqtJ5S6k9HS2XT3DWPty93SPUQFT4eAiH4gSYzrYjLNeLv7hrHkC48ktlmHoN4BX6tAtx8HGo8jZ08p2/jq7j7pGhHHJ4t1EbI47u4bxq827sCnVz0H/iWIqHeK05no1kGcXQYGhxqMxsBg3CDjnCdBxrExVHDhWFYkJV8SXYCMk5xEozDRkIbfX2lthKQ6h/68i5xjI++GudW1rBEgmzcZaqFhsS3C6j/vkR7jufKyvlVcdR4y3jNQmW/EHO6iPbJ578+7mF6fka6hoPZDeTwJ6nzwvPLyMcf2nuq6cv1BxrKwqXtAqzsZLZ1N85QcWmY2RGJWByKCTWEdSNIY18VkmvFu7RlMZbMOtkWhGNzaM6jdjwONRxKdCw9VrIuQxXHzlBxOmDsdDRkHB4b19SV0OhPdOoizy8DAYATmxsBgVFGp1iDI0y2rP+CWGBqzNla/tBtiBhC+0uxz2/dj1pQsjj9s2qR9YpSGhz3atRHmNdVH+PqjwdmVPVEVP5PlRE8Lt8Ri86/L3mA0Zm1fL6BHEt+krU4te2sQN++qHPu9gwWsf7Ubz23v1QpUZfUsNm7v9d++kXYeVPnkgzZVfHwe1VScLRTdVHVUGGNwE+hAZJmxdHvdYNFFoZhMBCyrtVApgnnu3HkA23uHsH8wr52v4WIxVPMDAAoJ/CfOp/jGL/h/1TxXs3el0RSYKsMGBvEwNwYGowpdrnIV+DzdLJIdGzh9QRPecdvqUM7wIEf5x3/0DIpuKaInELm+kwVi/nRdvYM051aC2x5+KURvsKj2NSB0uf/Fz1zhR4BKY1Dn2Bgquii60VoY7Uc2Y8WS1gj3uW3O1JAtfJ55L2/9PHz/ia4yhcaxgEvPaFXm1086VlVs6nQQcfN+yWktofFZ5Pnug999UpvK8v+z9+7hdRR3mvBbXd3n6GbLsgATI9mGCJMYBouxwHhi+8tMLrMBh2yeGHEJ43l2IGRnuUwI+ZIwuxDI7n6ZwRMSLvN9GyDZDYRLiDMT7pkZCDNGCQZMkAEzARQwlm0QWJZlWZZ0zumu749WHVVXV3VXn3MkG7ve5+F58DndVb/6VdVRX97396q8DVTaCjKZT55nWRui82fo6duNb6ToVrJqZsRzRO0JgHLdfnEdiHAd4O/OXQogrqcQ51HWY4h6lRu/cGpM2wAAJZ9h7Q82GelXevp2p/oTmIDP86V3bzam3BV84NPf34jGnBvbMzp4lETmU9YI8b3DtT6qea70t8tEUyCu3axrycLiSITVGFhMK7Jwwb/z+VNwXEs9Tp7fDCC9TrcIVY14FWpZw34mMR1VibJAV4c8iYufFTpfBSBae17tBwDc+eenY35zfaQqERB9aqnzP5Cfxpv4KoQc/qm+svDls3pDmORe96Ylyz7ie1CsSiS2pdNW8PzzvZvmAg3o97eoaciqmUkaL/dsuPDOZ2P8fY8SPC74SSQ5Wav0GFz3BCBVf5KmX4l7Aji4aHk7fvSbt7VtHkxwnxnZIyMNqrnM+jtnqimoVH9lYXG4wmoMLA4asnDBPepg9eJjAKhrY6chiSdd7qOGNexnEll42NPB2dbVIU/i4meFaq1Q4sRqGqr9AFw01+e0HGYOnc5EPs/EVyGsW39MrC+T3GfRg5jmXtV3Vi2GuAdVMeu0Fa4T54PLEONL2t88D/z/s2hmksabdym2DR5Qai486kT8JHTzqNNjcN0TEF7IJ90YpOlX4p4ATszr4lBCjlKlR0YaVHOZ5bcri6agUv2VhcWRCHtjYFFzcA4yQNDgOTFeug4tDV6Z22pSp1tGyUDLYOtYp0PFn85ST1/XZlKFIR1H2GfB5E3AFEp+AJleNjHJ4Ra50SEPPhQzzq73yk/1TZC2/lR1002fcvK4ZK63bm3qcryotSFtGJk1PotaG8o5lJ/kDo8VtdoKn1XPB+coBsGkH8V4LEcTKX4DSeMtBoHSXwKY4uIP7p9IXJ/DY0WlHkP0Q0nLd9K8qeIv+AE+vWQefrp5R2K7Bws6HYnJeZVqcPh6NN1D062/srA4nGCpRBY1hYqD7FGSyGUWkacEPmMghMABIvXpxfrwoi+BRwkuOKNd6VXA4TqASx3LK01BEn/apJ6+rk0dt9eEIwwg5qEQIBSKUkJia6TkB2AgsYtYXqc+K0edtylqDHR109M8JsS9IWogUjUGUu4pATzXbD2LtfPHiiVlbgBgZUcrNr89lFgbfv9EKcY5dwjw/fPM88rbP31hC57uGyx/z/do97I2PPDClAeD+FsgaoV0fgMqDwP+GyF6KoggAJrycc8MHjMQrj2VF4vshyJ7fshI8095qHcnrhbWCV+3tz31Bl4fGI0cK+tqAJT3h4k+AABOmteI14R2uYeBSmPAdRoqjxGdD4mJxkAF3d5K0v4ktTldnhkWFh9EWB8DixmBaX33rODcYM+lMV8C7tKaxm/NuQ4eu2JlzWgvhyPS+NOtTfnMDsFJ3F5AzSFXcYRVHgp510HAmPFNZ3gOwW+++YlMHPUcJXjsylVoacwZ1U3X1bxX7Q2Rm5/2tmHzW4M4/45NMdMuE5403y9fumtzJIYcdfDXZ30Ep8yfjYt+9JxyLlL3FgWeueaTmTUV8XbCfS7HEb4gILG5l3Um4rqSc63yJ9AhaX3KkLUJHKr1KiLJi0W1D1Vam0gck74vHzl2FnYNj03Oc7xvzwEcJ0p14l4T2wYPoLN9TmSdA1C6YQNmOhLTqkSqHOh+G+T1KPsdJMFWJbKwCGE1BhYzAtP67lmRdyk8l0Z4o6IvgYkeIU8PbZ7uoYA0/nRrUz6xnr6uTR23l/+/CUdY5aFAHQLKSGKpTRmUZOeo593wYqZjnlnddJ3HhGpvyNz8JHguRb1U692UJ93alEdzvRfjv+ddB6ctaCm3JY/FhDvuOjQ1BhOtA9cAyMe5DgUIIroAlc5EXFfyOF3qTLLP0tdK0vqUUTe5NmSo1quIJC+WHUNjyFGKiZKw1hVam0gcnov2uQ3omDcLowU/dn55bJTG2vEcB55LsbarvfyZiS4nTUciH5PlQly3t1TrUfY7SMJ0eWZYWBxOsDcGFjVDW0u9UX33rEjjgprwqC2fNB1tLfXamveV5i6N21uNR0O41rKttzQu/HT5Ruj2hik3P2t/lZyv+s6EO24yBtM9qupPpTNRzX3SWLKslaR2ko4VkTbepD2lXOuKHOjiSOpb1c6h+NuoW6tJnhgWFha1Ab3++usPdgxGuP3226+/9NJLD3YYFgloyLlYOLcBT/z7QKQOd53nwKUEK06Yi+17xsqfn3rcLAyOFiLH5idf+VOHoN6jIACuW3Mylp/Qqu13rOCj3qP47fY9aPBcOA5w4fJ2vDYwgnqPwnFCTjJ/MpqGwf0TeGNgPzxK0JA7PO+d5THyV+wfnT8b//bae5F6/3937lLj3MloyLlYMLcBT732Xmwukr5TtdPSmENP327UeQ6oE/oQfHrJsXjqtffK3O86zwFjDITELwNdB/juuZ2R9uU8mMTEz5ld7+Ejx86DRZLMAAAgAElEQVSKHHvt2UtQ51HsHy+if2gs0q68N0ziEf/d2pSPxXbtmiWYKAV4e3AUxVIQ6bMWc7H42FmTe2sIDR5FwEKtBWegUgJcsuoE5D0HTXkXYwUfm7cN4eUdw3h33zia8q4yr4Qw/OnJ87B9zwHUuVP7/OMfOSYWx/q1S/HpJfPw1GvvIe85IITgW59dgjWnzg8/c53I74RqLOvXnooVHz6qvH4YY+XfmIAxOAAa8hSEEFz32SWxdhzC4DMgJDChvAa/8IfH4aPHzsZc6Sm0eK6sS6AE+L//w0lYdeLUk3jVPP/qdwPI03gO6j0KBlbWAshrtCHnougH2Pz2HrgECNjUb7Dcjnyu6rfP5PdQPGas4OONgf2RPbBraAy/+t17yFEnlisVdOtxRcdRys8XzG047H+zLSxqiRtuuOGd66+//nbVd1ZjYFFziFWJ5jfXlTmlPX278ZWf9kJcch1HN2D7nnFQJ/wDdvkfd+DC5Qvwy1fexQ2PvIocJSgFTCsUE4VoBT8on5+lpryuvcNVoJYk+B0v+QgChhx1UGIBrv/sKfjimQur7tOkKlHSPPGYKSEo+gG+9dmTy3GJVWMee+Vd/P1Tb0yWpAzwxTMWoGvRXGVVoqS51sWkOudjHUdhx9AYXtk5jP/+6KsR0TKAWLt8b6TFoxJin9N5XDm2V3YO41sPvRLTHMh9VjoXomFVwfdx+R+fiAuXLwAQVnz6ze8HccfGN8sXvZwpJd7oy4Lvwf0TuOfZ7fj7p/qQo1PrrT5HI/tcFeM9m97GDQ9vhUcd+Cw8dmS8pP2dUI1FXD8AyudOlAIEAUOdR8tt83a+vmELHhAqAn2u80MolgI89spA+TOdEF8cb8kPIjcI/Bydqd/XN7wE6oRC8fVr43kB1Dz/i+7chB5B1L1sQTOu++wpiU7igLm5oLyuVGJgUWhckATMpkULdHHKn4vr9HD9zbawqDWs+NjioGNw/wRWfOdXsfJyMnQCM50ZTi1Na44EE5yshleHwvhN5yWrGLgW5lkmQlWTHJrMi9iOTiiepc8kpOUnrX8RouDbxDjOdL5UglzTdZEm5uXtDI0WlOZyKqiMy9LGu+HLZ8bE1knCahOB+tofbFL203W8/q1rpfnN+nvCUStjxCPhN9vCYjqQdGPgzHQwFkcmQjFf+kWEKDCTP+eCQLFNk+OyxFjL9g5FqMaYhENh/KbzkmX+KpnrpHOS8mqSQ5N5EduZEoqnH1sJ0vKT1r8ILvjWtavrIy0eSpyYoNt0XajOVbWjM5dTQXVs2ng3vrE7HptDYrk1nc+Nb+zO9HlSnCb5zfp7wpElr0k4En6zLSxmGpaMZ1FzDO6fwDO/H8Tbg6NY2NqAeo/iV6+9H6v/rUKSwKxY8rFhcz8WtTbAcymKJT9mQlWNEO1IMMHJang14QdlQ6npLPUn0oHkcoZp85JkmpUkDpXdb3XHmravextmsoZMDP248dfG19/DvrEiSoG+wk7BDyKGXVlN2IbHCon50QnVVRDFyY05mmh4KOcqq/kdz5Fo0qZcP74PJ+GClhuptTR4RmMEpozLxFyn7bfVJx6F259+MzqugIFJuS34PobHChEDNtWeWX3iUbjlV32xfj7UXIfB/RMAovQjXsZ231gxVsWoFPgg0g2KPD9Zf084TI0R03Ak/GZbWMw07I2BRU3xYO9OfPWBLRVXJ+ruakPHvFm48QunRsxoTl/YEnlFThC+f3An/26J3OpKL1pbm/Kxfqtp71CEaoyyxoAxBpc6GC8GIIxhzW09EdOpWvN4ZRMp2QApaV5MePmq+evp2x3jwquOTTPl6u5qK8fhSxcopmuS90EmaZ2ikZ84lu5lbfjMLU+XfRscMrUPxD79gMEPAlx2z28TtQpJsXiOg4CFeRGNrPg4WpvyWL92acxITIY7KZwV58pxQjVunhKUGCK/FTyfqtwnmd+Jx6y5rSc21q6FLRHefTEAVp3QgucnDd34uueGeY5D8KnvbVS+41y3ItRZiIZzrgNc9KPnlPuEr92SH0RyRR2CXcPj8f24rA33Pd9fnlmCULdx2T0vxrj/Kj3Lqo7WyBoFgP/nsd/huoe2RozJupe14d7n9KaQDATnn568n+S9aaoxqJWfzJHwm21hMdOwGgOLmqEWBmcyj3nH0BiKJV/JmxXBTahqxVs93E1w5DGK/x4aLSSaMwG14/EmcZRVfGYTgzGVQVpanyrDKVPev0oTY2pclmSo1jFvVuSp8Nm39igM0ghu6u7E7HoX85vrE82txJjNefzOpHnUbG0uwyfOBVz9s5ci8XkO8PhfrS6PQzVOgEG0AajE/E7MkUqb9JO/OEP7+7Hhy2eWjROHRgs469YeFFJ+vzg/fvNbgzj/zmdRMtgnQGgUdsmPN0feLInf68YgQ6VBkNt76/39+KdXB/B/fv0WMtL/Y+2l7SdAbWwmvskYGi1kMkbMiiPhN9vCopawBmcWM4IdQ2NJHjxGEA2b+H8bNvennpfXGA1VgiPBBEdlRMT/vWNoLNGcCTA31kpDkvGV3Iccs84ESWWQltZnjsbHY2LKpTNdyruukelSkqGaOOYt/Xs1BmkO2uc2lMebZG4lxqwzYVPlpbne046DGw1u6d8bMxWr89zyOFRtc9MxkbJUifmdmCPVOUn8+m2DB8rGXjuGxpCnTuqNQW//XnTMmxUazrkUIwb7ZGn7HDTXe8i7TuTGQPxeNwYZKnM3ub2u41vhuRT3P9eP4oQ+vjSY7Ccg2diM/3s6XeePhN9sC4uZgr0xsKgKMp+22vdPKu445+6anlctZuLpk4ofDKjLD1bbR9b2THjDBT+MudpcJfVlYmyn4sHLHHMgnfet6qtY8jFWTL6o4poYWV9guh5NY9EZpPHxJrUnQzd3SbHwNwMAi7wFEddxUg5UbZf8AES61+Hj2TU8HmtvvFiK8ezlGFTx63j3QJTrrlpPKtR5FIP7JyaPT8v1lNYjab1ufP098PLOqYZyCWZtoharpcFL1HOYQPV7bJ/KW1gc3rA3BhYVQ1X3ev3aU3FVRo0BN+pJ4o6reLMiTl/YUpM/VjPhY6Di1AdAhP9bbb/VjEPFG5YfopYC4OYnXq9adyD2BcQ1Bklz2tO3u8y351g4tz7GMVfVYk/jJV/3i5dx16YpDjklgOc6Sp771nf2RfQFHk2PXTX+JI50yOk/FV/5aW9EGxEEoQYkSY/R3dWGe5+d4pIHTD93qlh6+nbjakFL4FGC7567NJLX8ZIfmwtxT/K4RE0CA3D+6e1RHYWgEfCDIKKhKAbAxT/eDCroT0x0CF3Ht2LdigURTQAQ57r39O1OLb9KAFzzDy+X+5Ln/YIz2iN6nYjWY1lbTNfS3RXVjbgOcOHyBZExyLqW805vQ9fCufj6z19CsRT1Rlg4tz5Cm6KTN16q3xh5XfDxiRngc3gk+LtYWFiEsBoDi4qQVD96aLSA/3Dz0ygZ3hzIPGZd2z/5izOwbfAAXAf4ygMvxdqptjb2TNTENq37fSj4MfCnxJf8+PlEvUGtYtZVJdIdb6JnSarFDqjf0PQNjChr1/Na8DKfWlX/ndftN4XJ09ikMSfpMQCk5kql7Zk6N+5XkKMEhOh9ADjEPamKX+Swm/Dr5fNUmgIdJ75vYAT/tPVdAMCfnnxs5Lci9Fl5Ajo2ogOAOkjk6/N5B0IDuDStR94NHZjlvZV3CR69YpU2J+LvrIkmAgByroPHrliJlsacsioRwFAsBbj4rhdi56q8FqxXgIXFBxvWx8Ci5kiqHz1a8JFzzZcWdUiEx6xr23Mp1na1a6toVFsbeyZqYpvW/T4U/Bham/JorvfgGtYprybm1qY8lk4KEznfOgmmepakWuy8T7kv3TraNnggEmtrU16Z6xylFeU6bdw7hsaQo2ZeCXKMuvNU58vnqvwKeOWZNIi5VMUhcthHC75xTfwkvxPenpzLjnmzcNmfnIjL/uTE2AOEcD3p+67LUXiUar8HpuY93Dc55FKOp054cxX7nCTnRPydzafMK0eehm3K64xrRFYvPgZDB4rKc1VeC9YrwMLi8IWlEllUBBVnmNfabvAoiincWxF+wGK1sWUu7niphFd3DaN/zwGUNG1nqY2tekJbaU3sLNxb07rf1fRrWvffNF7TevXTofPQvUFoa6mHyQupop9ei12Gbh2pPq+mjnpWznaS14Fc5z58EjyMfWOl8vdJGC+W0L/nAIbHimjwHGwbPIDO9jna+Q+CAIylX5R2ts9J1AAU/CkNw/BY0ZgTr/M74e0BU/ktlvzyeMS3F8/8fhC794/jlPnNOFAMECSsc5UeQhVTkqZCRuhXEF/Eou+D+nd26ntTD4EJP9QecC2DqsqUbt2rvBasV4CFxeELe2NgURFUPPSAAZfe/YIRFYDDowTr10Y51SrueNEHrvnHV8r/dggiF4ZZamPr+LKV1MTOyr3VcepVGoNK+81S998kXl29+lUdreU68LWsH85jVNVo57GGPgQJlVvCUvlgQOQm1YT/3zFvVoyTrltfldZRzzoPsteBRwmKk14APmOROvfdXW2477n+yB6Sr2lXdbSip28wwt+//L4XY/2uW7FAOf/FACAJlXP4uVvf2ZfoA1EoBbj5ydfxwOYdYEGcViPDo6SsMeB+J1f/bEt5rH4Q4Nd9u8v6Bz9gkTysW7EAyxbOxVfu741w6SlB4oW/Tg+hq/Gv03qofBjE+EXfB7Ed1RhVmhA5v3wf+H4Q0R64DnBTd2dkzenWfdfxrdYrwMLiCILVGFhUBc5RDfm02Qpme5Tgccl7IIsXQo46+OuzPoKVHUcZ3xSY8O9Nn+RWw+WvpiqRab+mdf9N4u0bGImIJPm5JjXOs8DE1wCI8/pNkYX/3zcwYlx7PauzcJZ50HkA3HvJchwoBhXtvRyFlk8v44mrVgMAzrqlJ7EKT951cP1nl2Ci5GNlx9FoacxVPE863HbBaVjx4dbIXpU1ECpdiQgvRSugg2q9p817kl+IOIatu4ahe5KvGqNOE9LalC+v25YGD395z2+1N1u6vaBb97YqkYXF4QPrY2AxbeA8dLmGuQnqFN4DWbwQXEpw2oKWTIJjXe37pHr51bSlg66PWvYr91FNvKMFH3UuRVGo2W5a4zwLTHwN+P8n1XrXQeSBp6Fj3izjtZWljnrWedB5HXguRbNLK9p7IZ/e7Jze/r04cd6sWA1+GTnqYMn85vJ6MKnJnxXjRT+2pmXfBkqc+CsSAZU+ClOt97R5V9X3V1WcWr34GG0bqjGq/F44+Lrd0r830Y+EEvWa0637LGvcwsLig4tpvzEghGwDMILQjaXEGOsihMwF8FMAiwBsA9DNGBua7lgsao/B/RN4ddcwxorZ62WreKqNOQrf8C2WrE0wQTWccBmNORrjRKe1lfTUzfSJnGoMEyU/Us/e9Lxq6+2rPAOqgamvgSm3OqmNSiFy11/ZtQ9HNeVw7Oy6CI89SSORdR50eh7uKFtJrXqW4WJ9UWtDJn8EDlM9TRbIPHiVHslnwaQBmAYV3hlMlAL07xmNrXXxif/85rpyNaFdw+Pgvg9A/G2gyhtCpYvIsvfS/DpEcC2DfRNgYWEhYtqpRJM3Bl2Msd3CZzcC2MMY+xtCyDcBtDDGvpHUjqUSHXp4sHcnrpLqqst1sHUgAG4+P8pxlbnlSeC11Cuppf1Q784YXzZrOzxWFYf525/7g8RzVP1m5ZzzMSTx8Gs9dvlcFWe6FrXNTcbGjwFCnQbnUvNjeWxZ85MGPk8lP9BWx+LaCx6b6Msgx59lvr8qeQlccHo7HnhhR6wflcZAFePxRzfGavurwPcagEjOXQeRHKj2pGrNiLHxuv1yPX3XAVacEPUuUe2tB3t34msSR/+m7k5sfnuPcmy63ycCIO85sXWTlA/uoyD2z78X/00dAoKofogBMW8IPp+q3xTuW1DO47K2mA+Fyq8DQGQvifm9qbtTeY71J7CwOPyRRCU6WDcGrwH4OGPsHULIhwD8K2PspKR27I3BoYWw7veTRvXtdZBrnMt8ZNcBGEPEwMdzCL53XmeEZ1xp/JU+JTPhwaveBuh45UCcM2/C/e8bGInVMTc5r9qx8yfhuvrqtdIapPkayMfIx2b1RjCJqRrOfKVaFn5smvaG16rnbyx4VaKR8WJEuM/xxFWr8fbgqLJ2vYy86+A335zyfuBPxGV9g6nWReTUA3GfBd7f0GhBq/NQzUfedfDoFXF/gzSIuesbGDHSUzx6xUqcfWtPZhpX3iVgDJl+O5+4anXZg0C19/KuA4ApdQiAOGdjEPM+3b4tFhYWhyYOtsaAAfhnQggD8APG2O0A5jHG3gGAyZsDJcGSEHIpgEsBYMGCBTMQqoUpdgyNTdbgrvzGoLd/b/mPvYpHnaMUIMABQYdQ51G0z22o+g9XNXxZEx683HYSr5z/f1buP69jLt4YmJxXzdj5uSr+uKleIUs/1RxTa0500ryboFItC+87TUvAa9XztjlvfcPmfuXxWXw/qEOwY2gsUgN/tODHYjLRusic+i39e2Pt5KhT7k+n81D/Zkz5G2SZJzF3owUfLiWJ4mzqEPT27zXycoidSxz4YMjy29nbvxdru9q1e486ZJI+NRU0nwtxzsRcTvcetrCw+GBiJm4MPsYY2zV58f8vhJDfmZ44eRNxOxC+MZiuAC2yo62lXlmDOwtEvrCOR+tINQSzcsSngz+bxoNXcX/TeOVpHGIgzlGuhV5CxXNOOpbHoNJXmOgcKoHuyX+lc1vpedVy5nVzI8aje0Ju0vdYyUdRoTfQ1acf2DeOjxxrJq4W9TwiD172VSj4AYbHimU/hSQktcNzpZur0PegENMXFIMAi1obMusuJvygvHbbWurhp5hk+AFDZ/uc1ONUKPi+cYEFjrTfyjAOqcRzym9BLfVWFhYWhw9mtFwpIeR6APsBfAmWSvSBxoO9O2O1wIEpfnWxFCDpTbmKLyzzxnmNdkJIWBEnIwc2K28/C3isMh94ZUcrNku1/U145Un8/bFiSZuDajQDD/bujPGcdboNMZc8HuoQJb+/lnnm/QISj17BsTbps9o1wfNdrcZAFc+Boh+50JT3iG6NyLGo9tZ1D76s1ROcNK8Rrw2Mav/tEOD753WWOfWiDojrDOo8p2zYJXLpdbmV51V+98j9BlRzJeZstFCKaJxUuS8GzMgMr85zyn0k5Yv3c/clZ+Kh3p248v7exHapQxAELOqbIH3mUYILzgh9Ekx0S6p9DyDzb0Et9FYWFhYfPBw0jQEhpBGAwxgbmfz/fwHwbQCfADAoiI/nMsa+ntSWvTE4dKCqqw2Er/GfuSbkBX/mlo2QCxWZ+A6E/N6nI/zbvEtwx7qu1CfacozTzZ9VxSojC688ib9faZs66OaQc7vlp7NZuPW1ynOWfk21FbVYEzzfu0fGcendL0RugHOU4JlrPgEAyrccWccn6nDEvnl7m98ajBhX6c4DwvX6T1vfxfp/fj12/A/XLcPQgSIWtTbgoh89F+Ovc32BLl6PAgQkshey6G1kqLwIuI9AFv1AVs8C3sfZtz4d2xsyuL/DJ7+3MfZdjhLc1N2J2fUu5jfXK38n8q6D7567FLPr3cSqRLrfSp0nQiW/BbYqkYXFkYWDqTGYB+AfQy46XAD3MsZ+SQh5HsADhJCLAWwHcO40x2FRQ+wYGgtrhSN65e9SInDmKYp+/Ps034HRgh+rvZ2jFM31uUx/tKqp2W8KVawysvDKk/j7lbapg24OOZc8zf8gCbXKc5Z+Tfqs1ZoQ56kh52JkYmr+8y6N8bqzxCND1OGIfXNsGzxgdB4Q8st1uoKhA0Ws7WpXrj3O9wf0/hGeE+qBRGpPFr2NDJUXgedk1w84jgNkoH/xPlR7Q0aSRoMQgva5DVjaPgdb+vfCdZwY7Yk6U8dwiPPbdXxrYv86T4Ss+876E1hYWIiY1hsDxtibAJYqPh9E+NbA4gME8WmWfNEPRHnIpSD5e7lN/nn/ngMYL0YvtE256zEOvIa3bNpG2h9LE953Jb4Gae0WfB/DYwUM7p8AYOaWrIrdZ/E+VHOUlVtf8KvPc8ghLyZWhsnap84PgOcy6xPWYslP9LGQ17b8/405mprXlgYPGzb3a58cL2ptUJ6n0xWkHZ9VC8Oh8g4QeftAct5M2iv4ATrb52Rai1nfiBd8H0U/iF3Eq7CotQHv7pvQfs9zlmWvicjivG1hYWFRK1jnYwsjyNxiqlDP+UGAX/ftnqy3Ea9YdMailsjFl8gVHi+F/GqRC8y5645DsOa2HiPOMm+LMQY6KVwWue9JF39Z+eetTXnc+IVTU2v76/rU9Se3Kz6RBoBCieGye14sj9OE062Kff3apbHa+OvXxuOV45E1D3Jter4OTOZKFbf4vR8E8OiUnoGDOgSMTa2XtD514wgYcNk9LxrnT94H3uRGEHUErU15pSajzqWx3J2+sCVSq1/E4nmNkVKiMteca0RkrFuxQHkhyWOS/QfE41VrWlzD/DuVPwQQ9TkgjJX3La+XL+eNx6LSqQDA1YJHgB8EePWdfejuaovw/x2C8jpwSPifuCdkTwPxeBmFElOWdlXhvDueRYNHQR0S0YZQJ7qPVHuNj0e3Zq/7xcu4a9NUzEn+KBYWFha1xIyKj6uB1RgcPGThequ4wSI497mSmvCVcpZzlOCxK1clPnWrhn+uqtOe9hTfpL/B/RN45veDuPy+FxP7zxqvHEclVYmA6BNwWa9QiZ8Dz128Nn0oir76Zy8lluvMMl9bd+0zqsGfFjuH7CFQqd9B3nVwzWc+gvaWeqW/gLh/1DqfUONgkneXEtx/yXIlZcVUCyPrJ3QaId1vQs51cO/FZ8BzqbLqlDzGtN8XnsNQkzQ7Ehd/+s79AF7uH8J1D79qJExOQ951cOWfdGBha6PWY6VvYASfuXljRPOgWnN9AyNK3YJKN2JhYWFRCQ62j4HFBxxZuN4qbrAIzn2upCZ8pZzlvEvLNcp1qIZ/rqrTXgm/XKUdGJcV3AmolC+/evHRxsfK4wR4HXqKidLUm41K/Bxam/JaP4vxYpBaxz/LfDXXe0Y1+NNi5xDr4Ffjd5CjDk5b0II3BkaU34v7R63zMc97vUvhuWqKnokWRgWV7ibpNyFPHXgujfDsxZjldZX2+wKEOWyu9yIxdsybFdNqAECjpBGpFDnqYOWJRyvHwTFa8FHnuShOJO8TnXZBpRuxsLCwqDXsjYFFKrJwzCeKPhwVz2gSSVzmNOh45GltmWgLqq3preMD6568mvan44qrMJ01yJOeIJuOZXD/hFJDIs6ryh+hGJhxy7OMX603SK6db+pfYcKhTxuDTlMj7p+SIhaV30BbSz3aWupjMY0L2p0s1XBUEN8iyDkqBT4IcRLHy/fPotYGeC4txyxrTMIxJ98Z6Nae6NgMMMxvrs6XQkSaxkWnmcmy57P8FlhYWFhUCntjYJEKzjuWObIq+ABYwrv5uzZtw7c/9wdobcrHuMIiXAe4cPkCI+66zItWce9NniIncauToOMDJ3HpTfvrmDcL61YsiHGkG3NuReOsBGmaANVcdne1xfQkXxP44iJEbco3fv4SHCcknIu8/Y55s8r5AhCj6bhOuoZEBM+/zGG/+cnXYxoR1ZzJHPvurjasua1Hq8Hhc8Y1Bg5Q5toXpbHyJ/LyvItagJ6+3QgkGqioEZHnrGthS6xcZtFn+NT3NuLPzlyAB17YEfMeMeW1y311d7Xh3me3l38rGAjOPz3U3qi0CTc/8Xpk/1ACeK6D7q42+MKFO3UIAqbWN4lQrb1vKNaN6B0gak5EvQJ14voWFYq+Xi8g5qcg/YDKsQLqPa/TjVhYWFjUGlZjYGGEwf0TWPGdJxNr9pviiatWo6Uxl1ATneDxK1ehpTFnzF3nMao48JXUqDc9T8cH3vDlM2P14FWxm/an4khXM05TmGoh0nQDf/Q3v0rhhce54yJvn6NvYETpkaHyXzAZm4qnLyJpzjgnPs13gsfHee9DowWcdWtP5CJRNVY+XvlNlCrfHgUev7Jy/Y4Oabx2nSZE50HA88W1BEOjBeX+qQZ5l+A33/yEVrMSPdbBo1esLMcDIKK5ASC8aRjDa++O4G9/+RpKiocflXiAJP2e2apEFhYW0wWrMbCoGjuGxpS1uCtBb/9enDhvlpaHXTepCRgtxDnGSTxwHQc+C7LW9NbxgTe+sdtIs2Dan44jLf9/rWGihTDRDVAn+TGvijsu8vY5Rgu+0iND5b9gMjZ5fckwmbM03wkgynvfMTSGPI0+PVaNFYjPO49b7q/OdWuicZCRxmtX9aXzIBgt+DEO/lO/e6/qGGVQkqxZiRzrkFhcsuaGz3XHvFlors8h5zooKeaqEg+QpN8z1dxbWFhYTDfUxE8LCwm6WtyVoLN9Tipfm3OMq+H9zwR0vN/VJx51yMduApM5SDumraU+Us5RBZ8FsWNU+aq0JrwKtfChqKSdate1Sb5rxZ1P47Wr+jKdS5P2K4HPzHORdd0kreVKPEA+iL8JFhYWhzfsjYGFEVqb8vjPqz8ceRBIoJYBOoD2CfHZpxyLlsZcma9d5zllvrFLQkrEtWcvKT+V5cfMyruo8xwtj3xw/wS29O8tm36pIB6TdLxJWxycDyxi3YoFOP7oJlz28Q7kXZIau6rPwf0T2Pj6e9j4+vtVx5gFvN9HtuzCxtfDp7niHORdgss+3hE5RzVP1569BDuGxsrGYevXnlquXQ+E/G3XCcXGOUpw3ZqTsX5t2EZjniLnOrh2zRKlp8L6tUsjPHPXAS7/42hMpvhPf7QIrgPUew7yroN1KxYYrTfd+POTgYn+BrydodECNmzux9BowXhd6/r76icXw3WAhsn9I57f2pTHtWuWIEcJ6j2KvOtgVYfaRZcA5THL3P3uruNiQvqNr7+Pja+/V153rU15XHt22FdjjqLOc7B+7aH0ZwkAACAASURBVFKsX3sq8q6DOteB6wBfXnVCeT2IUO0fByEdqLvrOOQoQYPnIEcJurvawvWRo6EOYTK3IigBrltzciSX4T50kKPxY6/+9OLMVbzktQyke4DwuXad8NhK5t3CwsJiJmA1BhZGuOjOTejRGDGJoA5AHQff+uwSLF80Fz1976PoM/zunX14+KV3kJ80duKizsH9E7jn2e24+YnXy8JHj4Z167mQL42Hb2JMpjOcko/PanLGIfKBt76zb0ps6Ae4/I87cOHyBdoLgJh4c1kb7nt+SnTtOsBN3Z1Vx5gGlUCYz8XHOo7CPc9ux98/1YccVffL5+mVncP474++Gosv9A8YBkBw8vzZ+OUr7+KGR15FjhKUAoYbv3AqRsZLuOHhrfCoA58x7Vx+fcMWOCCY8ANQRz2XWcdKCfC98zrxsY6jqtKniNoDzl2XBbbrVizAX31icUX9yGL37q423Lh2ymBeHhsf15IPzUZv/160NHjoHzqAo5rqyjX379n0Nm54eCtYwFBkIV+eEJTzyc3URDO87567tCwYdx2Cgs/wrc8uwReXL8SDvTvxlft7IxaHXFSsmqPb/+33+M7jvysfz4W/Dgm1Clycfc7S+fhF7y7kKEHRD3D5H5+Iz5xyLH7+2x24s+ct5F2nvJZ4bEAoOnYAJaGnEvMwvpb3jZUwu96t2APE3hRYWFgcDCRpDOyNgUUqNr81iLU/2JTpnDTTKv49EDfHAszFpJWKY1WxAqjY5CxLPGnHq8AFlbWIURe3TiDMBZqywFYnzDWJTy1adQCwRLF5NWJOs7FOCVdrhVoaVqW1pRtb0riScspFw2ff+rRyj6rm65HLV+KsWzZCZx2imtM0EbgOvD95bapiS4I1D7OwsDiSkHRjYKlEFqnY+MbuzOdwUR0wJcBTfT9l1BQFF/KlIantpGN0saS1VYt40o5XgQsqaxGjLg4d/Ys6BL2TAtu0fk3jUx1HHRJbC5XOZRISx0qqz6WMJMOqWrelG1vSuJJy6jkOevv3Kvcob1d1PEn406KaU137aeD9maylJFQyFxYWFhaHI2xVIotUrD7xKNzyq75M56SJIQt+SLX43bsjykpHpqLASsWxquOHRguYMDAgSovHxMTINDYOUVBpaiYm01q4sZOK9pAmqlQZjOnEwSbHNeZoLNdh/8mi1bR8pRlN8TZ0Yy0FfuR8OY86+oeK7sY/W9TaoOxLJbyV25H/nWZ+pRubuH5kJOW04Aco+oFyjzIGFFl8rhe1NkT8B2SMlXzsHhnHlv69ZTM3ucqUKYpBgJYGD2NS/VrVWkpCZ/sc5RwmlQzNWtrYwsLC4oMAe2NgkYqu41uxqqMVTxtoDDwaGgLJYkjZIK0UAJ/63kbtn+7zTo8b/6hgYhQmH6PSGPT07cY3fv4SyCS1TjRgyvJHv6dvd+SiyKMksQ1V/N1dbRFjN9cB1q9dWm4jbbxcg8DNpLiJlhiTqOHgcaxfGzX84seuXxsajKWZmOnGo4tPlWsAmeeSgZQvhnUmeHKMqrECoRkXP182xhJNyMT2VZoPzm/nnx07O4d39xXK55w0rzF2oakyClOZrcnmV8CUcaC8/oD4+lHlQ2Xc5gcMhVKAa/7xldg5odlYAErCtxNlo7dlbbjoR8/BdR2UNHSvks9w8V0vgBKAEIAQAjqpW+HQmYvxz/nePX1hCy6+64VYbOvXTq0lIJw/AvWtwroVCyK6IJ7rzdv2KI0LgenT+VhYWFgcbFiNgYUxnnz1XXzp7heQVHnytgtOKwsaRZiYXImohNuf9vROJwAE4rz9HCV47MpVmXjHOrMnE8666kmxKNRV5VM1XnPNglrDoRNVVqKdMI1PznWWuWzM0Rj/3XTtDO6fwDO/H8RXfvpixNFbx1tXtW+qlVBB5LWbzBvvV2cKpjLV8xzg8b8y48+LOd01PIZLfvx8TCfgUYJvn3Myrn94a2R8OUpw7yXLY/27DnDVJxfjuDl1+MoDL6XG4FGC73V3YsWHwypKW3cN45Ifb44YK+ZdgjvWdaHBo1rtk6i52DE0hmLJx4U/fC7iHeFSgvsvWY7jj25SzqHqt0pnzlgLnY+FhYXFTMEanFnUBEfNqkOdS3FAtp0VMF70lX8cQzMp9R9bFZKMf1QwMQrTGaCpDKrykyZrWaAyM8pRajQOVWyrFx9jfHxSDCroDMF0/ZoYnVUan5zrLHO5pX9vJhM8uY32uQ2o91yMTETP700wLZPN22IGXw4BGAGQvH5E8zCTeeP9vjEwovxeZapX57nG61jM+2jBh+vQGIXIow486sRynncptg0eiPVf77lYeeLR2phl1LkU7XMbynE01+eQdykK/lRfOUrRXJ9LbJPnVlwnsqlcvUvhuTSTIZzOnDHr75WFhYXFoQp7Y2ARg/xkfeuufdg1dAD9QwdSnY9FDrTYTlbTpSzc/mq5vrUyUpsJQ7a0sZrmueQz9LzxPvr3HMBHjp0VK6+p0iDI2omCH2B4rFj2KjCJtzFHMVGKrqGkHKVx/JNybrIudJoQlaZCFa/qfFN++6LWhsj45HZ0/TbmqPL7pW3NsdzKfH4A5Sfo2wYPRLjz8n7VGcmpclPwfc3n4RrR6Sx0Y+RIml9dHoC4fiNp/c5vrjP+bepsn4OWxtxhYV5oYWFhoYK9MbCIQK73HzAkUodErOpoLV9kqDi4Mo9ZBHUICBjqPVfJLTeJt1Kurwkvfibb0cFkrK1NeXQva4twox0SnUOC8KJo/T+/Xv6MEsBnUb6/2LbMXacOgR8EuOye3xp5R3B/hgde2AHHCTsTOftJ/hSAnuOvyznXjKSti56+3ShKF4zdXW3omDer3K6qfx6vSlMi8tt5/6cvbIlodDxKcP4dm8paF77XxO8vOKM9pjHgT8BlncHKjlZcdt+L5dxyPj3n83NDLsYYGAPE7bduxQIsWzg3lq/1a5dGdEGi3kTWDAUMePWdfbG1N1EK8KUfPw/ikJhOSeb8q/Q4SXtKlQc+Hpk6lbZ+VXqOzW/vibQttjud+9zCwsLiYMJqDCzKMOWn62DiBzA0WsBZt/ZEXul7lODxK1ehpTGX6cl/Vt67SXu1qDIyHdVKqvEHqARpPPqk403jyLkOHrtipZL/nlZbXzXuJM2I7py0mv9JbyzSNCXyOtj81iAuuPPZmOBZBdG3QreWeMWcRa0NMW5/VsicenEvb921D3I1K1Xu8q4DxlhEDyCiznPwk784A9sGD6ClwcNf3vti5HcgzWshKQ//tPVdAMCfnnyssnqQyfp95PKVsTm2VYksLCwOR1iNgYURsnBtVRDrk+s4uABiXN+6SY55x7x0bnlavNVwfU247TPZjgjTsVY7h6q2s/DfeSwm5+Spo+W/J52vGreYc5VmRJerpJr/vE3dXKZpSuRzPZeG1XQEvrwOvJ2l7XO0/XfMm4WOebOU480KOQs8X0vb52D14qNjx6s0Q+FTeEBHo/IcB55LsbarXcn5T9LjJM0Dz4MOput3tOBjqURBSmp7Ova5hYWFxcGG8Y0BIeRGAP8DwBiAXwJYCuArjLGfTFNsFjOMrDoAGSLPVsXB5b4F4wkcc13lIFM+fVJNf+5VoHsCON0IK/7En74mHZ+k0RgvlWI862rnkIPP15b+vWGd+ZQ2s/oNqM4REWoR0jn+Kqh9MwL07zmA4bEC5jfXlzUVJjX/dWsy5K2r17JYVarBc/DKrn2oc51UjY7pGHlcW3ftw76xQqo+IQ1yGib8oLy2VE/NVTn2A4akN9Dcu0S3pg4US9g9Ml7+d9IT+STfCPmz4bFCat6tRsDCwsIihDGViBDSyxjrJIR8HsB/BHAVgKcYY0unM0AOSyWaGVx05yb0GPgVACjXx1dxvx/q3RmrzX/vs9uhutbj9cFlfYPsNaDiiMv9JNWY3z9RijzLFOuSTzce7N2JqyW+tuwlIB8vc74BRHjdunZUuX9g8w4AyfXcRazqaMXzbw+V2+ha2BJZF/L3qvnhcch+Cjo/AF2uONLOU/XtOQ7GSz5KPouMmbclj4sAuPn8znL74jyMl3wwNqWD6V7Whvuej/pN3NTdCQbgawqPBCDUezgEcKkTo7ZQh6DBS17vuhyZzKkOKztasenNwUi+dfkR98xDvTsjXhCuA1y4fEHEg0Men6gj4utyohhEYl/V0Yq1Xe1ajYiJb4T8GZ87SggmfAbXCb1UdJoaCwsLi8MZSVSiLDcGWxljJxNC7gDwc8bYLwkhW+yNweGDvoERZX10HXjtcs+liU/1VLXmRaTVjefH1KJmvgyxlvx0IeRjPxkbf5KXgIoj/8jlK3HWLU/HONyqduSc9A2MKM+tFDpOtoy+gZGYpiRNW6DKVY4S3Pnnpys9HXTgT+1V9fh1EHOZVa+Rdx08esVKnH1rT2JZ3hwlCAIGeTuEY+xKfZuky1FWeJTgf33xD3HZfS9m0ieIHgFyHFxHcMGdm5BQ1bh87N98/hSlv4HnAGJISfollW9E3iUASEwDETAWuWmpxK/EwsLC4oOOpBsDJ0M7DxNCfgegC8CThJCjAYynnGPxAUJv/95Mx+cn64DreNCtTXksbZ+D0YIPSvRLTawbn3QM1yjo+pFj4NziJGQdcyXYMTSmHD/3ElAdL8fNc+QqxqNqR87JaMFH3tWXd8wKkZOddBE7WvCRp9GY07QFqly51EFzvZeJ093alEdzfQ6uYz7uHJ1aZybrRz63t3+vUrcggyraDceYSx2jLkdZUedSDB0oZhojMLVnQp1BNLee42Db4AHUueksVc9x8Mybe9RfEhI7dsfQmHJOqENi+aDEic0DdUjs3Er8SiwsLCwOZxj/RWCMfRPACgBdjLEigFEAn5uuwCxmHnLt7zSIvNy+gRFs2NyPPsF0aHD/RJlPrKqJLraTVDde7ssUJjx31Zh53IP7JzL1lxSHria8Sg/Rv+eAUofR2T5H2w73E5AhzkEttAdiPCbzoaofP1HytTXo21rqUVLEqcqVCD7OvoGRyNzpcq+DrK0w1QTwczvb5yh1C1EQMIUQlo8xbf1lHVNavFnXRWf7nDJ3XzQ5A8K5NW2zGARYccJc9ZfSm2y+3nTaBjkfPgti86A6zmoLLCwsLKLIWpXoowAWEULE8+6qYTwWBxFb39k3WVnEjKJw+sIWtDblcd0vXo7ULlfVRT/v9HalxoDXLhfrxus0BtX6Cqg0BjKFoBa+CKo4dDXhxTHpuPXAVG19uZ0kPwF5LHIt/SRwLrzMB89at12uHw8ABZ/hM7c8rdRY9PTtRiBdFKpyJSLN7+C8rvbI+gSmfBtk3UN3VxvW3NZTXoMsVq8nBOfTyzkJ5+hUfOWnvVr/j/PPaEPXwrnK9WDiv6BaT9QJ6UmqLk+a14g33huNxEOd+L4r+YFy7UXy5hDctWkbHti8AyxgMYpWwWe4a9O2mM8BoF5T3/zHV2L6iJPmNeL1gdFIu91dbeX5V3kIAKj4M1tZyMLCwmIKWTQGdwP4MIBeAPzPAWOMXTlNsUVgNQbTCxWf2iWI8aBl/HDdMlx81wuxz3OURPjsU9zjaB13uXZ5lqpEWcZmUpWo1r4Iqjh0VYnSeOOyr0BYjaaIq3/WG+N467jYWZF3HdyxrqvM689atz2Noy9rI1THexR4/Eq9DiTN70ClXfEcgJDo+sy5Du69+AxjP4AcJXjmGrXPgM4fQR43EPUIAMz8F8Sx8/PnN9drNSQ56iirFon6ms1vDWLtDzaljtsUG758Jr74w+diHP9Hr1hZrgglzwt1gO+uPRXf+IeXU/U4WaoSmXxmYWFhcSShVj4GXQCWsA+KI5pFJqhqfTODUif//OqA8nNCoidPcY+jddzl2uVybfBa+wq0NuW1F5m19kVQxaGqCc/7DnnSauqKGAdvZ0v/XuQojdA5krwksiIn8fqz1m1Pqx/PtRFJ3gd1rpvIAU/zO+hVeRpQChBEaEJ5Gq5P05y5Qp1/lbZFrvGvGrfsEWDqv8Ahrqctk/oTNfVJvYl7+/eW98K2wQOJ482KjW/sjuUgR6d0KaqxNnguSgGU+0BeK6q1WM1nFhYWFhYhsqjOXgFw7HQFYnFwoebupp+n4wjL9486PnMtOb46nrkpdL4InHOepb2sOoU03rgqT6p4J0olDI8VaqIpkP0lsuYgTeMhc+qLJT/R40LE4P4JbHz9ffTvOaDVART8AHUeVWocStJn4bHmPgM+06+LrOMW9RCm+0PU9HC+fynIJqIV9TVZ9UVpWNrWrPWS2Pj6e8r1OV4sYVFrg5Eep9Y6IAsLCwuLEKlUIkLIwwgfOc0C0AngOQDlX2PG2DnTGSCHpRJNP2StQBoIgLznxLjrBMCfrYjzr8/pPC7Vd6BScJ45r5lfaX3ymAfAsjY88EJ8HCaxZB1jUv51ngsP9e6Mcbn52GVdgPhvUcMh13iXc1eN7uK6B1/GXc/Ex8T9F3iteT5vJuOWtRi8Pj5joW5AxKy8Wx5rELDY9+L59Z6r9DyQ4TrAhWcsSFwXfB0BkKhR0XHL56v0OvL45WO4/8GBoq/UB3GVhOwVcPclZ0aO+7M7N0X28Ydm5/DOvkKsvVUdrdj01h6lVwEfI53Ua/D1JufVowRnHj83pnnh2o27n9mu9RyZDh2QhYWFxZGEqnwMCCH/V9L3jLF/qyI2Y9gbg+lF1prtIvJueNEl1x3X1bmvNcc3jWeeVSMg+i/IPOi09irVKaTlX9dGEp9dNQc6DQf//8YcjR1fqe5CrRkg+F53J1Z8uBVAug5CpUHR+RwkeTTIdfGzwnOA7513GmbXe5jfXGe0LsR1tGt4HGlaApUeQm43q9eIDnK7WfZ/3nXAWBARHoe2AQSlIKp3eeTyldg1PJbJSyJHAUKiNKQk7UwtdUAWFhYWRwKq0hjwC39CyN8yxr4hNfy3AGbkxsBiepHGB08CJQ6oCxSFv/xinXsZteb4pvHMs2oEeHxZOd+6WExiSMu/ro0kPrtqDpI0HKr4qtFdqDUDFO1zG7T5lUGJE9MhJGkxdHCIA1Sht/BoGLeOH6/KiZhrUdeiO1+ph5DarZXvhtxulv1PHQKwaCnXnBvqNkqK3wDuJWFK0yKIexAkaWdqqQOysLCwONKRRWPwKcVnnzE5kRBCCSEvEkIemfz38YSQZwkhbxBCfkoIyWWIw2IaYFLzXwdVzfCC72N4rBDj+08HNzgp9ko1DCFvuxjjpxf8QOsZoIvFJIa0/E+UAvTvGVXW6dedlxSrbh44d3/j6+9hcP8EGnMUEwa8f1V7abkwWXOlIFxHg/snynOi8jmApqwoh1wyNSvEOEy0KEnrXOnt4AdoafAwofhc9HyolRaArw2+nt56fwSjhVL6iTD3DRC9B7L4LjAktzWdOiULCwuLIx0mVKK/BPBfAJwA4PfCV7MA/IYx9sXUTgj5KsKqRrMZY2sIIQ8A+AfG2P2EkP8FYAtj7P9LasNSiaYfD/XuxNU/26LlDssQ68UDiHkQOECEs14JX98UMu/adUIn2Ur6EDnMKi4+r8Oua7tSHYWOjy9DrtPP+5Pr0DsEaMzFY9VxtGXuvkMmXWUdovQHUOVL7iuNM6/SSHAQAC6N536sWIIfIMZBB5CYP12RLXmcSXHo6uHr9Buq+Vf5VXBfBdcBSkHcXyGSU2mdUIfAo/HY6zwHfsAi+hERvE+HIOa5MMkMUnoxqDwcupe14d7ntkd8GUSfCtU8q/pwHeCm7s5YfsXxT5dOycLCwuJIQbUag2YALQC+A+CbwlcjjDGNn33k/DYAPwbwPwF8FcBnAbwP4FjGWIkQsgLA9YyxP01qx94YTD/Saulz/M3nT0HXorkx/QCvq/6luzZrSzWKqBU3WMWPzrkOHrtipbY0aZa28i7Bd8/t1HoG6GrM17Lmvwpi/30DI9o69uKxgJ7ffvatTyfOvSqnSRoEXV8yt13WSHiU4NvnnIzrH37VaB2J7Q6NFtDT9z7+56P/nklTkKMAA4ndFFMS3mDq+O46LYoqNp1mI8v4RK0B9+MAEJv7HAXu/PPTy5qGrbuGM/H8TeLh+hXV+GVtCI/5MzdvjMxLuLeWAiCYXe+VPTOA5D1kvQgsLCwsKke1GoNhAMMALiCEUADzJs9rIoQ0McbSHnF+H8DXEb5hAIBWAHsZY/y99Q4Aysc9hJBLAVwKAAsWLEgL1aJKhHz1aF18FVzqKC+4W5vyaK73Emu4i6gVN1jFj85P1kyvRVs5SjFe9LWeAboa87Ws+a+C2P9owUfepSj46rlL42j39u9N5e6rcpqkQdD1JXPb5fVS51J41DFeR2K7S9vnYLTgw6MUxQzlO12HImAMRemdguvo+e7cwyBNKyGOuVItj5y3jnmzyntwS//e2NznXRfN9bny8c31OeRdV7s+skLUr6jGL/uTAMBowUed56I4EfUxaZ/bmFmLZL0ILCwsLKYHxgZnhJDLAVwPYABTKj4G4NSEc9YAeI8x9gIh5OP8Y8WhyseUjLHbAdwOhG8MTGO1qAyNOYrxlJsCIOQ5yy6+3FF4UWuD0mVVBZGXneXJn/y00JR3nPaUkdeDl0WS3INB9blY5z/p6ebWXcMAiPaJaGOOxvjlaSgGAYolH//n129OXhgm+yDw6jjycXx8aTxwUy8F8bi0edGdr/K8MI2traVeo0PQoxQEyh+hkO8elWKpxpAkrM2qq1CB+1NwzYJYTap/z2hs38prU7Wuq4G4d1WeBJWsFQsLCwuLg48szsdfAXASY2ww9cgpfAzAOYSQswDUAZiN8A3CHEKIO/nWoA3ArgxtWkwDHuzdia/9bAuKKdcO61YswNZ39sW46CouMoeqrjnnZa+5racmHgE3fuHUGO9YvEBPq30ufh9Mcr1FLcHWd/bFuNC8j6S2p/LKyufd1N0ZqWMvajJ4vji/3GcMAYvml/POuxa2YO0PNinzxHnznOfevWwq134QwJM48x3zZmH92qURHrjchpxTIHxym5T77q62CB++u6stVrlHdX7HvFmRz2V9h7yWxD57+nYjyGDQHq7fkIcvwnWAvztXzXcXxxD2N3WeSpMgOvaK4xorlmLzyzn89z47xdkv+MCld79Q1gzoPBdETYK8NnUvX1T7V/R2UOVbXE9p88GRtlYsLCwsLA4+UjUG5QMJeQrApwQKULaOwjcGX5sUH/8MwM8F8fFLjLH/N+l8qzGYPiTVwheRdx08ekU6F12GR4HHr1yNjnmzptUjQPfU3uS8uK7AwR3runDy/NkA4lz5vOvgN99M5tEDUOZVVac9+j3BvZcsh+fS8tNU/nZmfnM9Rgs+iiVfe1MQxkfw6BWrEjng4fiaY7kS3wQBMOJyq3KfxQMhae5Uvgu6+Vb16TrhxboprV/0Wkjju+vWzqNXqD085HE15ijOvrUnsham9lmPMZWKI0cdPHblyvJeS9Mz5CjBnX9+OvbsH8fVG16OVAMS94CYb93e1fmW6MZu9QEWFhYWBwdVaQwEvAngXwkhjyLqfHxTBTF9A8D9hJD/AeBFAD+soA2LGmHH0FiMR61Cjppx0WV4Di1z06fTI0DHO047T60rcNBc72ljzdF0Hj0AZV5VddpF5F0Kz6UR3vXqxUdHjtmwuV97fhgfTeWAixx0jtamfKwvk4s3Ve6zeCDo5i7Nd8GkzxwNa+wXDTUnotdCWny6taPz8JDb29K/N6al4Pssi8aCw6WkvNdM9AyuE67z5noPDR7FSIT/P7UH5JhV85o2ZnnsFhYWFhaHHrLcGGyf/C83+V8mMMb+FcC/Tv7/mwDOyNqGRW0gP4Xt33MABYMLEFMuugyf1YZvXEuPgDTed5bvk76T67EDat666vykJ6tp9ewnSn65/r0qfvF7HcQnxEkO1vx72eFXpZtIGptOi2EC3l6x5Md9F3wfhJhbtvDcmDzZzqJv2bprGPvGwgtvXoFHdX7BD1DnJWtGdPADVs6vyocjdjwz14NwVLIP7VsCCwsLiw8GjKlE5RMImQWAMcb2T09IalgqUW0gco5VHOUk8Br0D/XuxF/d32t0HufU16ref6U1zNPOq+b7tO+uVmgMgLjvg8hJFzUIunGqfA94HXzuHSF7HbCARbwldPnj60R3vPw910VwcI46r58vnq8aGwOUWgyTudXFInsDJMGjUd8Nkcufts7keZC9GmSdCQcf4+a390TO5/4TKv2ByP0fL/mxNtetWIBlC+eW87t/oqTdp3KOs+ytLMem6XssLCwsLGYWVfkYCI2cAuBuAHMnP9oNYB1jbGtNokyBvTGoHpXWUOdI486LcB3g++d1YsWHj6o537jSp48mVYkq/b7aqkRAtNKMKTe/b2AEPX3v46imOhw7O48Lf/hc5O1PzOvg1h7t92K8unXCueRJdftVyFGCx65chZbGnNInAiCx9aSqhS+j2jU9FR8AkFQfCNXcpulXkvZKmt5EhqwdUekTAJaoAUram1n2lsmxWXQmFhYWFhYzg1ppDG4H8FXG2FOTjX4cwB0A/qjqCC1mBJXWUOcQufNp/Gdenzztj38lfONKOcpp51Xzfdp3qxcfk3oO//8s+otYPXvqRC78Y14HCd9zJK0T7nmQdR3l3ZBuNFqIt02Jo6wiREm6z0W1a5rDdUIdgq6kpy7/JvqVJD1Jmt5EhqwdkfchdQjACJI0QEl7M8veMjk2i87EwsLCwuLgI8uNQSO/KQBCzQAhpHEaYrKYJlRaQ50jiVcvQ6UrsDDDwdJSJLUjHp/VY0DuRz431KzEL45N1lC1azoSA9NfoFfKt29rqVfqTDjS9CZJcaj6DvtKfgs8k3vTehdYWFhYfLBg/hcJeJMQci0hZNHkf/8NwFvTFZhF7cHriOddB3Weg7QHlQ4BKAEa8xR1noNrz15SfmPA22nIUVASrb5DCXDdmpOn9Ylg38AINmzuR9/ASPmzwf0T2NK/t2wCJX7WNzAS+S7pWPGzmQanZ1y7kZl6AAAAIABJREFUZgnqPAez8i7qPCex3juPGwjnhZ+Xdx1c9vEOvPX+fmzY3I+h0QK++snF8ChBQ47G2hXbufbsJchRghwN57XOC9fMtWuWYNfwOP7THy1C3iXIT37v0ehichBSVuT4+RoUx3b1p07CF/7wOLjCGnKdcA3tGBrTzlE5V2eHucpLsa5bsSDyOY8xTwlcJ/x3Y44iRwmuW3My1q8N42rMU7gOASUo5/H809tx/3Pb8ciWXZG1NLWnCBo8irwbeggAwCNbduLhLbtw9acWx/IDhPvkij9ZjOuEuRbjch3gjIVzkKPhPsu7jtITQczl+rWnYv3apZH2qJTX9WuXAsCMrHVVjNa7wMLCwuLQRRaNQQuAGwCsRPh4byOA6xljQ9MX3hSsxqA2eLB3J676aa/WkKwxRzBaEESkACgl+I+nHYeHtuyKGBr99Pl+UOLAZ8HkRdwB3NnzFvKug1LApk1keN0vXsZdm6JiT1FwKQt4ZQGtyozJROw73ZBFmteevQSnHNecyOFWCTs/1nEU7nl2O/7+qTdQ8hk0tHl0dx2HG9d2xtrhZmJhZRyGr316MZYf34pXdg7jWw+9UhbyepTgyj85EZ855ViMFnz8sOdNPLTlHaH9Nnxx+cJETcY9m7bhgRd2lj93EK63z0vrTZ4jWbB97ZolOGWyEpJYQUlVOYl//8tX3sUNj7yKHCXl9ToyXsIND2+FRx2UggCf+Mgx+OXWgdh+kcXUX9/wEqhD4AcM53W14SfPbo+c0911HNacOr9cleiVXcP437/ehhx1IvHzuP7bL16JPPd3AHguwfq1S2PrUlfhSdSsiBqXnr7dM77WbVUiCwsLi0MHNREfH2zYG4PqYWpkVglUAtLpEBn2DYzgk9/bqOjfySzCTDp2pgWSlYg0dedkEQc/cdVqpSBYBG9TZWzHjd6GRgvKeXniqtVlDYQM3VyqkDafWedLZ0xmumamzlELp1XguUiaawBY8Z0nM4ugTWHFwBYWFhYWVYmPCSEPJX3PGDun0sAsZhY7hsYUTO7agBInRhOfDpFh7yTVRYY8LhMRZtKxMy2QrESkqTsnizi4t38vTpw3K/F43qbK2I46BDuGxvCGQOmS29fdGOjmUoW0+cw6X6rcZVkz5XMU614HnoukuQYAQgh0OoFq16UVA1tYWFhYJMFEfLwCQD+A+wA8C+M/gxaHGtpa6rUUompRCuImUtNheqQz9pKHZSLCTDq2UoGkiXHX0GgBvf170dk+p/wEWWVGVYnh20TJx6LWBmNBbmf7HLQ05hKPL/i+1tjODxiGx4pY1NqgbT+pb1OU/ABJ8znhB9g9Mo4Nm/vLeQXi8yFSi1TCXZbRvK/g+yCGP4md7XO0c13wAwyPFTG/uQ5Jb3GLQYDGHMWW/r2xMZnsIysGtrCwsLBIgsmNwbEAPgXgAgAXAngUwH0z5V9gUTv09O1GkPHChxLAc50YL7+7qw33Pru9zDdnIDj/9Dh3Pws33oTn3DFvFlZ2tKKnb7D82aqOVpzb1R4zXAKgNPXq7mrDfc/1l82h/CDAhcsXGMeug2pMsnGXjFUdrXj+7SF4jgM/CODRqNFZWvnUG79wamSMjkNw0Y+eK89XsRRoNQbrViwoX0DzdlTGdwEDXn1nH9avXYqvPtBbnvOQUx/gsnt+i2IQ4KR5jXhtYDTSx6vv7NO+MeiYNwvrViyImHu5DuDSqfUGAOPFAARAAALXYXCpE6M9FUoBLr7rhcjYZN2Jag1H/r2sDfc93w9+A8Iv91Xp46ZpYS6iR3BjtchnDsFdm7aV+xPnerzkR/J4/hnt+MmmqEahvA+XtWHNbT2RmB94YYfxPhLXTDVr3cLCwsLi8EQmjQEhJI/wBmE9gG8zxm6drsBkWI1BdchqBOU6wA8uWoajZtUpn0wCcZMzzkUXxZ+msZjynNP42ToRpig6DWN/MqYpMIk9S1xZ+OfiOXes68LJ85uNY9AZl/HxFEs+tg0eKD+hF99WyGPguZKNs8Qcb921D/vGirj6Z72pfHwTk7K+gRH09u/FotYGeC4t579vYARn3fJ0hG+fdx34fgATGUCOAoUEVpCYo8YcNdZl5CgBYwxVeqoh7xJ899zOWB55XL97dx927y/glPmz4bnUKMYs+8iKgS0sLCyOTFRtcDZ5Q3A2wpuCRQBuAfAPtQrQYvqR1Qiq3nNx1Kw6LBXoHqKhkcpcyXOcsvlS1lhMec5J5y5tnxM7X2XCFMZOMVEqZY49S1w6464k5ChFc30u08WazrhMHE/X8a3l73RP8HmudHPLc7x68dHKHKpgYlImmrTFxuVSFPypPkIdgDNJLUoGgQMkrHcxRypTOW27hIQ6gCr9E3KUYrzoa9fimqXRJ/8mMZruo0pNAi0sLCwsDm+YiI9/DOAUAI8DuIEx9sq0R2VRUwzun0D/nlGMl8xFlQXfx7/vGkbPG+9hYWsTVny4NfIUXsWTHi+FT6fTUA3POelc06egpv2H2oB9ABhOnt8MIP5GIqnNUuCDZZTkjBVLsRyKT/J3DY+BaxV4DG0t9Zn1CSLkJ/bFko+JhPb6Bkbw4vYhTBjMdZKZlvwGSs5tY47G+vADBmZ4c5t2nLhuVOtZBz9gQA2quU2U/MmSsLLewMfwWAF9AyOREqsqXYSMpHm3bwksLCwsLNKQSiUihAQAOHFYPJgAYIyx2dMUWwSWSlQZHuzdmchxNwUBcPP5ncpa8gAi7a9bsQDf/twfJLb3UO/OGM/ZtJa66tysPgRp/T/YuxNXC3x6Z9LETeT/y+2LbfLcUIcY07dE8Bxy3QLXEHC4DnBTdyfO6TwuFqtHCb57brzevQqyJwTnx8t1cXg88vEOATyHhPoGgggv3iHA98/rVMah8k2o99zYfAKhxiBPCYgzZR4mah10+etaOBdf//lLmCgGMZ0Az1+SN0J3VxvuebY/0bk4CXIOV3W04pk3ByNx5ymBz1i5Xx6DA2DCZ/AoQdFn5fF3LWyJ6Wu4RiVp3Veq6bGwsLCwOPwwIz4GhJCW6TQ7szcG2VFr3wLPARwnSjHJUaKsuZ5Uv16Mr9InmPLT5ko0C7r+w7w9mcif17XP3zJ86a7NVed9w5fPxEU/ek57Y5F3CR69YlWMd27C6wey+QjUeQ5+8hdnYO0PNsW+8xwo+fa6ONL0LiptRs518NgVK8trqm9gBJ+55enIDannAP/17I9iZcfR5eOefPXdiCh56liCx/9KnTuu8QDiWpRqkHcdMMaU+yXUGyzF1T97KdO6MdHGWO8CCwsLCwsRSTcGjurDCvFkDduyqAF2DI2FnOyagcTa428MZJjUqG9tyit1ASYQz+X8fhFiXfis/e8YGpus2a+Hrv3Wpjya6z3kaPVba+Mbu2PjEkHJlGeBiBylqWMHsvkIeI6DjW/sVn7naGLUxaGaLxGUOLF1lqch755jtOCjzqWRY+o8F6ctmBu5Id2yY1jdCYE2d1zjsWNoDDlK1edXAOoQuAm5Gi8GmdeNqJNI87uQzzNZIxYWFhYWRxaMxMeGsP4GhxjaWuorpkGoEDAWa0/3wklX175WEJ/26zQDcr13U7S11Ctr9ouY8MP2VXXyh8cKKPjmeg4dZte5ieLeoq/2LCgGAYolP7WmfxYfgQk/wNK2ZuV3ureOfA42vv4+AIb5zfVGXPmin+6J0ZijWh2EqMn4UHOdNuaiH8TmSewn1G5UP48cSV4MBd9HnecY6xw4dNoYcZ6td4GFhYWFhSlqSSX6LWPsD2vSmAKWSlQZHurdiatroDEAQvpByQ/AQMo3CAQAkbjlHg3fLEwXj1nFlwYQ0QzINeqzxvJQ784Ij51rDLhmIE8JAiDCjRdrynPePAAtF57zw0t+kMiX10H0ZRDHKvPQVTX9eT6ue/DliI8AB9caiBx3nzH4QVx70LVwbozz7zrAhcsXRLwuAJS58jxmWTsBTPUp/lvUTMi6C54HnTZBbj8yToeAIKpvEPuphT5HHHuJIXZzTQC41ExjkLaudVqCajQ9FhYWFhaHF2ZKY2BvDA5RcOfdf9k6gLufjV8EcqgMnfhFSyUXR9PBYzbxMVDVe68kFrkq0dBoIVZXPwk6/cVlHz8Bnz+tDR3zZilr9WeF7Fmg0gHkXUfpSzA0WlDqDG674DQcOzuPC+98VhtbjhI8c80nAMQ9LUI+faD1EeCahQt/+FykzKoKolZBNf85SvDYlavQ0pjTahc8B/hc53z8w293xWoV5V1nUlcwO1J5K95P9if6lYDrHMQ3LKKGIEkbk6QlsFWJLCwsLCyAmdMYWCrRIYrWpjxWLz4m9aKmPkdR70U51fUehVchX346eMxJfGmuGRgt+DXhVId5OxqrFx+D1qZ8ua6+KXT6i+OPairTe7K2qYLIM982eEAdi+KcHUNjWp3BeNGH59LE2PJuqCEIufjRfIdP4vXrxnMcbBs8gLzB2hK1Cqr5z7vhhXOSdqHOc3HmCUehzouPhzoEzfVe5GJZ1ZZmOmsOrnPomDcLSyepYKKGIEkbk7Tuq9H0WFhYWFgcGTDWGBBC7maM/VnCZ5+oaWQWVYG/JQAI5jfXYdfwOI6bo+Zbc6g40KUgzvc2xXTUVDep2V9LTnWaliEJurdxne1zIjz4LG2qUPCnHJ112g45Ep4Pne9ES4OXOt6JUgkvbt+DU+Y3x47zA5ao0ygGATrb5xiNPc77j54zVixh98g4PDfuCSD3p4rJD1hMk6HSMNTo5WoqKl2rVktgYWFhYVEtsoiPTxb/QQihAJbxfzPG9tQqKIvqkJUbzevPEwABQs41P9NnBL50gSTWThdrv6vq0asu+qupqd7Ttxu+cPHjURLrp7Upjxu/cGqMU531SakqTt5usRRATq9Yx586BAFjylr2W9/ZF2m3u6sNdz+zXSNLneL7i5oCkbsfMODXfbvL/HrXieoaxJr+4lh6+nbjGz9/qdy+iIvvegHrVizAjV84NaYfyE9SpAo+cP3D/w4A+NDsHN4pFsrHTJRCfn9JM6rurpBKJc7TWLEU0a8A8fnt6dsdox6VgjBeOdeq/tavXRoZj0cJTl/UEqFf8fVNpDuBgAVY1dGKpwX9xodm5/DOvqlxEwB/tmIBfrJpe8zToTHnYrzkww8YkmoCdHe1VVypqxbr3sLCwsLiyIWJwdk1AP4aQD0AzlMgAAoAbmeMXTOtEU7CagzMUGvvAhV4/XzOewamXGvF/691TXXVuUk1+6v1SdDF+db7+5U8fhOoavTL/H8OjxLcd8lyeC6N8MwBNacfYJGa+y4luP+S5eg6vrU8piTvBxU2fPlMfPGHz0X6km88KkHedfCbb0a57405irNvfToyBllfUKmvgNwO1440eDTTXHJtxLbBA2hp8JQeCU9ctRotjTk88/vd2L2/gJUdR6GlMVfOfdr6qVabY7UEFhYWFhZJSNIYpL4xYIx9B8B3CCHfmambAIvKUXvvgjgomeK0c8hP7JPi8xwH44IEVNQIJEF1Luefq85tbcpXfGGUFKeOx28CShxjNY5DCDyXRvIMAFv69yJHozcT1CEAIwCmqEH1LoUnaATEfGyZrOE/HpPiRrHxjd3xvoiDUsp5aaAOKc8b/y8cF42UaBXnd8pfInsJUUqcSH+rFx8NANiwuT9TO57jwHMp1na1a8/t7d+LtV3tWLM0+haM5/6p372X2ofJftChmnVvYWFhYXFkw5hKxBi7hhByHICF4nmMMTPrVIsZQa29C1Tw2RRv2fTpZBKnvuD7GB4rYHD/RGIbM8mhVtWw53015ioXC/ssmLyATwdjUI5NlYdwzqPzXvADvLh9CMWSj3f3jePtwQOY25jDcS31mN9sppdY2hbXDwQpHg8mKPkslsfGXEhHEzFR8jE8VkTfwAj69xzAhEYTkYZiEFZs2tK/F405il3DYwBIZr8N0ZuhqNEzLGpt0PpnDO6fUAqg5T6sLsDCwsLC4mDAuFwpIeRvAJwP4FVMPbJjjLFzpim2CCyVyBy62vRJIACa8m7MA0DmRLsOcFN3J87pPM5YKyAfJ7YvahRM9AYzVY9d1mnI477qp70RnjjnpfPa+jLfnRLAcx2t58I9z/bHbujEPmWo8iC2e6DoJ94gepTgzOPnRvjyJ81rxGsDo5FjqFQ7X6UD0IEAoA6Ux/O6/Hz+HuzdiaslLUMtwXUUsp7CdYAVJ0R1A6s6WrHprT0RjY5O3yFD1N+ofBH4Ptg/EVVfcA2C9RiwsLCwsJhu1MTHgBDyGoBTGWMTtQzOFPbGwAyD+yew4jtPaOvHJ+G2C07Dig+3xmqeAyhXOOK13k21ArrjHrl8JXYNj+NLd21W1tc3efswXRxqtZYh5MQDcW4+r+c/NFrAWbf2KOvy51wHj12xMuZCrPJcEJGUD1UeBvdP4JnfD+Ly+17MPO46z8HfX3Aa/vM9v41dFOvmKw06Lwe5bVlbUAlkYzRT5F2Cey5ejm2DB9DZPgctjbmYliFHCe69ZDm++MNnY3F6DvBfz/4oTpnfjIt+9JzWYyO+boC/PuujWNlxdESDYGlAFhYWFhbTiao0BgLeBOABOCg3BhZm2DE0Nlk/Pvuj1/GiH6mVLl6grF58TKwfE62A7rjRgo/mei/GXzfhV083h1qtZZiqBy9/x+v5A0CeOsobgzwNx8wh8uqTuP5J+VDlobUpj/Hi/9/evUdJUZ75A/8+demeCzAMAxJhZhAzqEEDGEeQKGyi2cRbNBsQNSa4v9Vc9sRbYhYxuzHZJGdjNFFjspvdbMz+4q5RWUyiUfOL110kioo6oKjBiRdmQBCGmWFuTHdXvb8/qqup7q7qrr7M9Azz/ZzDGaa6Lm9daOqtep73KS7cxtQ0dA/Gnbc3ViJtunu+yp2/Ymoa2jp6is4d8NJFEA8clyjXcofyBgD45jpEDR1vdw36ttM0dJzYPM35e8C/Cb/PooaBE5unpTqL7BAQEVGlFdIxGATQJiKPw9M5UEpdVfZWUdEa66uhikwM9cZGA7lHFwob7+8337DlxGnX10ZGddx171N6byVZ72dB9QrcdnUPxLLGt/e2OWgc/WHLTsW4e7ebr1aAG9PuXS6zInPmG55FGcnKYQ3GE+gejGXtQ8yyU6Pp5KtSnCnfbfpgPIHO7kHEiswd8LKLLDQQt620fIeg85+rDoJ7/nNdz6wxQEREY10hoUSX+k1XSv2yrC0KwFCi8G747cu4c1NhOQbHzKzFjv1DqbyCzHoEYePcc80HAAfjdlp8OYBRyxm47r6tqRwAN2b8phULUuP/e9uw+Z39aXkaq5c246Q50wLXkS9O3h3iMzO23j0+12bUnfDGtLvx/W4+gjfG3dQFFy9uSpvHr/1+jplZi+2enIIgAuDUlgZs9MThh+VXx+H5d7p960CU4tiZtXhz32BgKFGuMKPM8wgEX9sPtO3MqoPwwwsW5l0u32dERESjpSw5BskVVQNoVkr9qVyNC4sdg3D84uNLVWicu5/2PX04+/an0uLNvfHXo50z4PIb/z/stIguePiqZWiZObng4+49pn7j87sx7Zkx64Wsu3sghraOHhzVUIM33uvHP/z2lbLejBfDzWPwG/9/pER0wS2rFuKr67YGvtFx2+a9zoOubb83Nl65/k2wxgAREVVaWXIMROSTAH4AIAJgrogsAvDt0RqViMLxi48vVaFx7n4GYhaiho5YRux6Z/cQFjZNHfWcAZff+P9hp0UNPZU3UOhx9x7Tzu6hwJj2Ys6l97i68eumoaMmYqBvOJFn6ZFlahq2dPaO6jajho6DcRuGLjmT8jOv86Br21sHwU+ufxOsMUBERGOZVsC83wKwGEAPACil2gDMzbWAiFSJyHMiskVEtonIPyanzxWRZ0XkDRG5V0QiRbafMjjj75d3zMdyxEKHyUno6h/Ghu3vYcP2vejqD85x7+ofxpaOnpzzZG476JgkLNu3JkBmLLnfNG/78+UKZIpZTo5DV/8weodiWTUThhIW6mvMgtbp1y4AgduohKF4AkdPL6x2QKliluXkB+QZYpUx/0RENNEVknycUEr1iqSNSpIvMGEYwOlKqX4RMQFsFJHfA/gqgFuVUveIyL8CuAzATwtpOPnb2L6voOEkM1WZGuKWSruJWtXaWPJTzoZJUdy0YkFWjLW73lx1A7zC1k7w2ti+D1bADbbfUJoXntwIKKTlaVx4ciNa50wLbL93/7w5CMNx2/cfia2AHz22HetecHIDbOXsM+DkIiQshcvufCErD8D91xf0D8/QkHVc3ePld1mYuiBhqSLG8gnHzTFwfyZs4Jp1W3HklAjePRDzXUYXZ95C6vS56/fLJbAVcOemtwOvAW+OAZ/mExHRRFZI8vEdAB4HsBbACgBXATCVUl8KuXwNgI0A/hbAQwDep5RKiMhSAN9SSn0i1/LMMcivlBoGLlMXCFTaOsLUFiikjX5j73/4xieyOjRRQ/D02jPS5gtTOyFze4XmXEQNASC+9RWA3PkQ3pGPCh33P6Jrod72mBoA8U+mdestBNWa8FuXe8OeNl0X2LYqOSchYmi46dMn4Jp1W0MvY2qApmkldXAL4c0VISIiOtzlyjEoJJToSgDHw3kLcDeAAwCuCbFxXUTaALwH4FEAfwbQo5Ryg507Afg+8hWRL4jIZhHZvHfv3gKaOjEdqmFQPE0EhqanTfOOxV6qhknRrJyCzu4h3/HxdUnfrhvHX0jb/JbJRxctqz3e+PNcORHu5y0zJ6fqNIQlIUsEaKLBDFivt95CmH3XRIPuM48mgqih+yxRmKiu4c19gwUto2nZx38keXNFiIiIJrLQdy1KqUGl1N8rpU5WSrUm/34wxHKWUmoRgEY4OQof8JstYNmfJbfVOmNGcLIfOUqpYeCVK5Z+JDTWV/vGf1sqfbthaydkrrvQOH1L2VntKeYYFLPtMBSy2+cqNO9BwUbQW0O/MfsLFbdtLJ83vaBllFJ58wHKibkFREREjrwdAxG5LfnzdyLyQOafsBtSSvUA+B8ApwCYKiJufkMjgF2FN51cXf3DeHDLTtzz3A6cdcKRgfPpyYewUUND1NDwsQ/MSLsATF1w88oFuHnlQkQNDTURHVFDS8Ve+yX9BiUCt+/pw/rNHWjf05c274bte7Fh+3tp8zdMiuLmlQtg6oeeEhsacMMnj0dn91BqXjeOv8rUUBvREdEF3zhnfs4wos7uIXzjnPmoMjVMjhqoMjUsa2lIm8/dapWpocrUcMO5x+NvTj0KEV1DbVRHlamlai5s6ehB+56+UMfB297JUQO6ALoG1EacdZ6/8EgYmiBqaIjoGm745HysXtqc1raTmutgaOnH5ZufPAFXfLQFUUNS8fGmBhi64IvLj0Zn9xA2v9WFJ19/D1/9y2NS2zd1gfdBvC7Alacfg6994lh4Dj0MTXDFR1tww7nHo8rUkOu9ge7zYF8XYHLUQNTQ8OWPtGDujElY1dqYNs+ylobAZS9bNhc3fNI5Z9HkTIbPGwRN3GFknfoQVaaG1Uub05Zzz6k7fXLUgKE517p7PTC3gIiIyJE3x0BETlJKvSAif+H3uVLqf3MsOwNAXCnVk6yB8AiA7wO4FMB9nuTjrUqpf8nVDuYY+Lu/bSe+cm9b3kTNDzXX4ZWdB2BoTux8ZnKnBuA7nzoBl5wyB/e37cSa9VugiwZL2bh55ULfImB+085bNDurwJpbHOzaHIWhAHd8+F4Ago79g/jOQ6/6Jhnftekd/OODryKiCxK28k1AzkxS/sa583HCrLpUbkD7nr7UGP+moaeqIb+ysxff+t22VPy+LsC3zz8Bk6oMXBdQpC3oOHj3665nd+Cfn2yHqQtilsKHGuuw6e3utDa7Cde7ew/ipkf+BE0pxGwn58FWCpefdjQa62tSxyVm2bjioy1of68P9295N/Dcr2ptxCVL5qSeim/b1Ytn/tyFX/zxbYg4+6MLYCmkfrr7d97CWfht2y4YAsRshS9/5P04aU49AMFr7x7Ajb9/3fd1X3N9Nfb0HURE11MF86KGhmFLYc0njsXMKVVYs34rbFsh7nPxmrrgW588HifMrsMdT/0ZD2zdnfrs6IZqdPYMwdR1xC0bX/v4sVhydENaZWi/Ctfe/BZgZGtnEBERjVVlK3BWxIYXAPglAB3Ovec6pdS3ReRoAPcAmAbgJQCfVUrlHHuSHYNsTrLx474j6xQjaggeunIZzv3JxrSEVf+CX/4Juv/1N4ux8t82Za3b1IDMHFhvomzmfgUlGQPIm4BcTJKyu5xfEnREB0T8k2H9jk2Y9gSJ6AIRpK3v0Layj3kk2dHI57GvLE8l15ZSBM97Hoq99vyOWdB8d13mfz35tYk3+ERERPmVVOBMRF5GjmFJlVILcny2FcCJPtPfhJNvQCXo7B6CM3xseToGumho6+jJKqrlW/BLtEMxOEmmpmHDG/v8V+7TTl0T38JpfsXCvEnGQZ+568m1fK6bx6AkaEFwMqzfsQnTniAiAl3S15fals8xD3v+2zp6Uh2DUorgec9Dsdee3zELmi/wevJpEzsGREREpQlTx+DTAGYC6MiYPgfMDaioxvrqwMTRYiRspxBUZsJqwrKzRsyxlJ28uTskZtmYUhVwSfm007KVb9JnviTjoM/cUJF4wsLBhBU4zyPbduPNfQM4Ze40TJ9clQonCUqCjls2VOYduWcfMm+O3eJlgFtcLB666JxSClbAzbbfMQ97/utrTGzp6EFjfXVJSdFx204OxToEq8hCegkrOOE5c77l86bj9ifa87YpV/Jw5hC5fkPmEhERUbgcgwcBfD359N87vRXAN5VSnxzB9qUwlMjfA207cdU9bXnnW9bSgOff6U4V3/Ljxv1vfnt/Wo6ArgkuWdKEdZs70+LoAaQKfh1MWLBs5ZvrsHppM1rnTMNX8+QYZO5XZjExd16/z9w4fwBZITJu7L4CcHXGsRIA0WQC6nlR7zROAAAgAElEQVSLZuOBtp241lNoze8YxS2VlmMAwHffvLkHQ/EERARVho64bePkOfV4qr3Lt51IttPbAl0T3LpqYdoxd/d98zv7ceczOxAkM2/Ae+78jpeXJs623Xavam3Eus2dSFi2b8E0PwIn6drQNRyM2zC07LoJflLXY479CyqE58rMNVl1UmOqqFzYAnlERESHk5JyDETkFaXUCQGfvayU+mAZ2pgXOwb+2vf04WO3bvD9zBDgH86dj9NapqNl5mS07+nD2T/eiFiOu7KooUEpO6tIWtTQ8NCVp6UlcwKHEoYv/+XmrHhzXQPu/fwpaJ3b4Jn3AACF42fV5X1am+vJbmYiaa6YebftZ/1oQ1aeg8sbp/74q7tx2Z0v+M4X0QW/unwJTENPewKdmZsQlJfx76tbU/vevqcPG9v3IWpomF1fg+NnTUlN9zunbp6A3xPwU/7pscB9C9pXANi260DeImxuu2fVVWfln4R1x+qT8Ld3vVhwToLb1rf29uPCf9+EzJcUQXkqQLhcCuYnEBHRRFNSjgGAqhyfcfDvCmvr6An8LGLqOLG5PhVbPhCzENW1nB0DXRNYlgZkxJ/rmmAgZmFh09S06Q2ToqirjsDQNcSs9N5EVNdheopkNUyKYvkx4etRNEyK5iwk5n62xScvIrPtbR09vnkOLm+c+pbO3sA2RQ1nn7zHobN7CBE9PTnZL44+ouuoq46k2t0yc7Jvtd2gc+rmCWQel87u5Ag9drgiXe6+LmyamirClqtj4LZ7IGYVnZuwpbMXUUNHzErkn9mnraahI6rrGMzYx6A8FSBcLgXzE4iIiA4J0zF4XkQ+r5T6d+9EEbkMgP9jVRpR3ifG9TVm4HyxhIWO/YNpMfT5YsstW8HymScoHwDIXaCsNqKnYtuLufnKFR8OIDUsZa79SlgKcctGIsfT6uGEhdqIjq7+YRxZF9wX9otnb6yvzuoU+eUeDCcs7Os7iP/7x7dQZWiY5XlL4LUoo/Plqq8xsWH7XhwYimFKtYlZddUYiDnrPBgPX7nXm2/RsX8wKx8j07DlnMf62kjRuQlH1lWFzrPwayvg5MBkyndd5msvi5sREREdEiaUaCaA3wCI4VBHoBVABMBfKaV2By1bTgwlcnhjpgdiibz1C4D0eP7M+Hw3ZtzNE1BKQUSyYuxXL23Gt88PjhrLjM03NOAzi5tLiufOig/3tDVMzH4hqkwNlq2glEK1aaBvOPvJdpUnFyGznV/L2PdbVi3KytXwExQjf8P9L+fMG3AVOi6QJsBtFzr5Fl/LyKWoMp23SZnXlF9uwnDcDr1dgROCFZTb4qZTez81dYGe3OZ5i2ZnHWN3nlx5KkB2Por3GmKOARERTURlqWMgIh8F4OYabFNKPVGm9oXCjkFp4897Y7H9nsJv29WbjDX3vx6ihuDptWfkrQPgFiibVVeVFY9eSDx3KfsalganWnCYuPeIoeHhK0/LCv3xa6eb0xA2Ht/v2Do1Kp4o6il7Puu/eAouueO5rPAhN0k5iHv+ugdiWbkqpi64ecUHcc26rcErCBDRNd/9XP9FJz/F7xhHdMHDVy3zDcXKxFGJiIiIDik1xwAAoJR6EsCTZWsVFayU8ee9sdiZMepunkBE1zGc8I8B1yV/LLaTQ3AEAP+4/0LiuUvZ17BMXYOuS1YYkJ+ormEgMyMb/u2M6P71IIL4HdvO7qFkpyXkzhRgwxv7fOsyaCKwcjwo8NYwyMxVqTJ0vLlvsKj2ZA6F63q7axCtcxt8j3HU0H3Phx+/650dAiIiomyhOwZUeX6x7GFlxmJnPjXNF49tqXCx2O56ayN61lPgoHjuzDcNAzHLd/lyU7Bh2VqoeYPa7nfcDiYsJCw79LlyczEe3LIT73QNYk5DDY573xTECsgbKIQmTm2GbLnfnByMJwJzDeJ2uJoDhXBzLfLVtSAiIqLyYMdgHNnYvi/02PGZLjy5MfWUNDN2342zvmnFgrTx+F2GBty8cmHep6ze9Q7GrayE5FWtjVnr8Isdj+rOk+t8/QJNnBAf79j4hcTcL57bgE1vhstL8Gs74Dx9XnVSY1ouQdxSWPubV6BrAiPZ7wg6b4YGXNjahI/ftiFUvkgY+Y7BbY/737xfvKQZAAJzG+I2cOaPNuCWVYuwqrUxbb5VrY1onduA1Uub06Zn1s+oMrVkwbxD+SF+tRhWL21OhQk1TIriphULsuo38Kk/ERFReYXOMai0iZ5j4DdWfpCPzJvudCI8p9Y7dn1mvLb3s8xtRHQND1+VHVvv1758OQERHXjm+o+l1UAIu0/+6xMopXKO3x/RNfzq8sXYfeAgrrk3u9MTVlB+RL79jugaFFRax8fQgLVnHodj3jcFs+qqcPbtT4Ue3z97INnyqTI1PHjFaTj79o0539ZEdEAkfYhT7/Fp39OHto4eLGqamlZ3oTaip+pgAMiK889cLhNzA4iIiEpXlhwDqqzO7iHfuHA/C5qm4oUdPWkj63jjw4Ni/wFkjWkfNfxj6/3aly+mXpAeS1/IPgXJN35/1NBgGjqaptUGjjYUajsB+RH59lsEMERD3BNWVG0aOHluAxY2TcWWjh5IjvoKmXRNYJfr1UIGU3NyI/LlNgi0rPPmPT6Z9RmCYvozpwXVdci3HiIiIioPdgzGga7+YfQOxX1rBfhZ2FiXFZMdsyz0DsUwqy47T8H7WVAsd76nuY311YGJyy6F9LjwoPoH4Qkslfv5eSw5Bv+u3qGi8zOAQ3UOgPQ8inx1AGzlDIHqFbcP1XeojeiwC6oNMHJv+OK2jUVNU/OeE1vZsK30joG7Txu270U5KlsTERHR6GMo0Rjnjdsfiidg2flvDQXA55Y2+475fzBhZdUo0DVBjakHjvOeOR6/X02DG377cs4x+wXAjy7KHq8/s/4BcCjHQEFy3qQua2nA3Bm1Ocf7FzhDklYZelbdh8z4d79l3fH3q0wnWcA9PgBCDUWqCbJyB46dWYt39g+lzk2+/fS294LWJt88EO+6/7RnIO+6MmXWusg8J5nz6prgYNxO1ThYdVIjfvXcjlS78tUYCMpzISIiopFVljoGlTYROwaljOXvjvO+q/dgsj5BuHW4ceZuLHj3QAwfu3VD1nyPfWV56s1B+54+33nuWH0SOroHMX1SFZa+vyHwqbDfqETum4Vn/tyFr9z7UmAeQSRkHYJ8+xpPWLj458+m3QxHdAEgIz46UljeOgKfuHUDwrz/MDTgBysXYM2vX0kbXjSTqQGbvp6e//Hott1Y+5tXcq4/Ymj41WWLcckdz2bVwPDWzvDyu64LqXFBRERExWOOwThVylj+CsBAzEJdtZmVN5CLU1HZwsLkUJFPvv6e73xtHT2pjkFbR4/vPN2Dcfz1qUfn3aa3/kGmpmk1qDINxIvMDcjFu69bOnqcUXKsQ9sxNA0QjEgtgWJ4c0E0LdxbhmrTQMLOrjuQScuopdAwKQpDzz+Ua1TX8HbXIHTRgIyuird2hpffdV1IjQsiIiIaGeEGcaeKyFdbIBfbVognrLwx8Jkyx4d3x5LP5J1+VENN3nny6eofxpaOHnT1D6d+37D9PTz3VhcG48GdgkSRbwsAZ1/jCQvrN3cgnrCyjrWl7BJzIMprOHk+ayN6Vt5CkMFYAvU1Zt63HpZto2P/IDZsfy91DuprzLzrT+Ul+OR6ZNbOcLEuARER0djEUKIx7oG2nVhz31YA4WLac4nqAhvIih3XBKiNGL6x3n65A94cAzdWfDhup+U+LGtpwH9efkqodmXGm686qRF3P98RGONeLG++Qdy20TqnHhvbD9UxyIzPX720Ga1zpoU+/oXUUChlGU0ApYpPQ/bLe/AydcGSudPSjo3Lba+bc+FeLw+07UzLfciXY+Be18wxICIiGl3MMRjn2vf04czbNiBR4qmK6IJfXb4El9zxXNaQpP++uhXHz5qSFsoRlDvg5hfkyoEIGzNeSh5FoaKGhoeuPJRTsPLfNuWc3xvTf9btT5W9o1IpUUPw/U9/ENes21r0OtwcFu8IVU6uyAFwVCIiIqKxizkG49xAzIKuORVjS2Ek48Ezcw4iuoa6ajPr5iwod8DNL8iVAxE2ZryUPIpC6ZqkcgrWb+7IO783pl8XQXwEhwodTRFdx5v7BktaR9TQs+pbOLkiM0Kvg3UJiIiIxhbmGIwDtREdiSJzDbwsW2FR09Sc8d3eWP98uQO5ciC84/673LyBDdv3oqt/OFWfYbRG/bFslaofECZ+fiiewMY39mJf30FY4+TNWhgxy8byedNLWgdzAoiIiA4/fGMwxt3fthNf++8tKEcUy3DCxqvvHsBNKxZkxXc3TIqmxfofTFhQSkEXpG179dLmVPhIw6QoblqxwHfMe00TnPuTjanYcXc/3Pk0cf5UmwYs24bpif1f1dqIu58rb46BqQsuPLkR5/5kY6puQWasfWZdg4QN3PzI9rK1oRgC5ziVM4oplrCxq/cgVi9tzlkDwss9NpnXDBERER0+mGMwhnX1D+PDNz4ReqhRr8wbeldEFzxz/RkAkBbfnS/W39CAez5/ClrnNvi08fGsMexdbq2Ac368Med+RA1J5jnUpdqzbVcvdnYPYf9ADD96fHvRw4a6bf/sL57z3T9DF9xz+RK0zm1A+56+MZVPENEFCtkJ47nmv2XVQrzbexDfe/j1wACtqCF4eu0Z6B6Ioa2jB0c11GD3gWF8ZV1b1rbcGgcAmBNAREQ0zjHHYJzq7B6CrklRyxq6BsvnRlzEGVt+YdPUtJu7fLH+1aYB09Czpnd2DyGi6xhO+A8pamoa2jp68u5HRNdRVx1JG0ffrW2wpaMH//q/byJmFVfLIKLreLtrMHD/qg09tW8DMWtM5ROICDQgdHtEBE3TatE0rRa1UQN9AfUf9GTdgoVNU1NvgLZ09MDUNcSt9B6Yqeu+1wwREREdXtgxGMMa66uLHkc/KFFZqfBjy3vFLAu9Q7HUGPfeSsX5lqsydcTz1FIYTjgjBW3p6EFtxElsdX++tbcPg7HiC5wlbMs3t8I1FE+gY/8AaiM6eodisMfQWzTbtgtKy7aVk0dRXxvJeV4slZ5X0tk9hNqI7nu9eeclIiKiwxdDicaw+9t24up72sq6ztsvWhRqbHk3x6DaNDAUT0DEyQEYiiegcKjqrqEBn1nSjHWbO2FqWta8IgJdk7zDkbrx/m4IlKlLqPAZATApauBgwkLCUr7P1TUBbrtwEQBgzX1bUzkEfqpMDZatAtc1moqpcRDVBaIJblqxAICzvwnLhvflkXs83NyPtBoSGfkdhgbcsir4miEiIqLxhXUMxqGu/mEs/d5jRcfV+4kaGp5em7u2gHdseQDYtusAPn/n5rz5AQ9duQwDMaug5cohamj44QVOAnRQnoM739NrTwcAPPPnLlxx90t515uw7LIm/YZh6oJvn3c8AOD637xS9Hq8NRjOvv0pxDw74uYXAMjKK3FzQnb1DgGQrNoWRERENL4xx2Ac6uweghNdXr4b64iev7ZA5tjyddVmVt2DTLpoqfoAhSxXDhFdw8G4nTPPweXGyR+M5+9t6ZpAFx2DIeYtpypDx/xZdXhjT19J6/HWYIgaelp+RiSZM+DO5827MDXnXLr5HURERDRxsGMwxnjjvW1V3pvqMGPPZ1avbayvzltnIG6l1ywYzfoEQwkL9TVmznh6AFAKeHVXL17asR9Tq/PXMEhYCoUH8pTOzeUIqiER1sBwAq/u6sXJR03LWbci12dEREQ0sTCUaAzxxnsPxRMo5GH7spYGbHprf1Zcvq4Jakw9NfZ8rljx+9t24tp1bantmrrg4sVN+NWzO1LTNHFGvvEmqVaZTp28m1YsgAJw3X1bASDn0KenHN2Aje1d4XcwY3kAacdnWUsDnnmzy/eYFRKr7+Y6RHWBpVRqVKCgnIRy0sQ5X249h5Pn1OOpkMcoaHhaTYBT39+Qtp7VS5vx7fM/CCA9ryTMNUJERETjG3MMxoF8dQSCGJrgns97x+DfAG/0S2Z9gFzbz1WPwLu+h65chtd392WNeR81BID4hg9FdOCWVSdiSrWJWXVVOPcnGwveV3cb//KZD+GyO1/w2YZW9rcU7vGrMXVc/PNnAxOi83U+NAFuuWABdvYcDF00rcrU8M8Xn4gv/teLSHg6YhFDw08/cyJe392HWx/bXlAH0l3vH687lGvizSthPgEREdHhLVfHQBvtxpA/t45AoarN9DH4q4z06LDM+gC5tq9L/u1HdGcI0aZpNajKqGugixZYryBqGGiaVoPlx8zAQMwqal/d7W/p7PX9rMiSD3m3V1cdgWnoWfubtu08u1Nl6Jg7YzJmTqkKvW1T09A9GEe1mb7dqK5h+uQqnDZvBqrNwqMBvfkHgJNXwhoFRERENKIdAxFpEpEnReQ1EdkmIlcnp08TkUdF5I3kz/qRbMd4kK+OQBBvTLjfOsLGjDfWV8MKkdPgrs9vW5ayA+su5GtnWHHbxvJ5030/G4l3X7n210vybNytBbDIk6AdZtt+9RfCtinXeplHQERERJlG+o1BAsC1SqkPADgFwJdFZD6AtQAeV0rNA/B48vcJrWFSFDetWICooaHa1JDv4XdEF0QMDV9afjSefP09tO/pS62jytQwOWqgytRw04oFoZ4EN0yK4uaVC1Px+4CTY7CqtRERXVAb0dPW57etm1cuxM0rnWlu3oGpCaKG4BvnzEdn9xC6+oezljV1gS5AchHoyZ2vMrXUZ9XJv3/jnPlonduA1Uub09q/qrURf3PqUTB1gZlcQUQXVJkazl90ZKhzAADHzqyFqQE1pgZTA/7Ph49C90AMnd1D+MY581P75TX/yMk44wMzU+3OpAH40l+8H7/bsguv7z6AVa2NaZ/r4uzr6qXNiBpOTkjUcGoRtMycnPOcfvkjLYjogpqIDl2y35po4uQUFHNNEBER0cQyqjkGInI/gJ8k/3xEKfWuiBwJ4H+UUsfmWvZwzzEAnOTfr97bFmrsfE2cuHbvvG5SaSkx495RiTr2D+E7D70KQxPELIVvfnI+LlkyJ2v+zG119Q/jrmd34CdPvAFD1zAct6B5kmrdBFd32Vd29uLbD74KpYCYZcPUBZoIrvhoC6bVRnDD/a+k9tPUBT+8YCHOWzQb7Xv60NbRg/0DMdz0h9ezYu0NTdDaPBWb3u5OTXNzAdwk44gusGzAyvPvwC0ctmh2Xdr6iqEJsPbM4zCtNoKjGmpgGjoa66uxsX0f1qzfCl1zkrtvXnkoETjzOLuJ6oCT5G1qAlspiACGpiFu2fjc0mZcefoxaJgUZR4BERERARgjyccichSADQBOALBDKTXV81m3UipnONHh3jEIm/ybz2NfWY6WmZPL0h6/4lfepNVClvXyrifXvFFDg1J2VpE3b6G2ch230RbRBc9cf0ZaZyrs8Q6bqB72fBEREdHEUfHkYxGZBOA+ANcopQ4UsNwXRGSziGzeu3fvyDVwDAib/JtPW0dPGVrjnwydmbRayLJB68k1r65Jsshb9nTv8uU4bqNNRNKOZSHHO2yietjzRURERASMQoEzETHhdAruUkr9Ojl5j4gc6Qkles9vWaXUzwD8DHDeGIx0W0ebN7wjbPJvPouapibDgXoBCI6fNSXvMKV+8/oltg4nLPQOxdHVPwwAact5f59VV5UzKdYt4tXVP4zaiB5YHdmyFSyf9cQtO1VQrVzHbbTZGQnAznFIfzUSlCQcNumYScZERERUiBENJRIRAfBLAPuVUtd4pt8MoEspdaOIrAUwTSm1Jte6DrdQIm8xMzfufvPb+3Hnph1Fr3P10macNGcavvbfW1Lj7RsacMuqRb5Fq+5v25lz3gfaduKrnoJnwKHCXwqHipy5Ca/ugESGBnxmSTPufq4ja9x/AWDoTr7BwYSFhKWyRhOK6gIbgFIKhq75hsx423rD/S/jzmeKP26V4M2VyDwPmZ/7cQuTAU6OgbcgW2YuBxEREZGrYjkGInIagKcAvAzAvbv7OoBnAawD0AxgB4ALlFL7c63rcOoY+MWIRw2BUlJ0ga6IDjx81XKc8+ONWU/go4bg6bVnpL05cGLzn8g5b9A8YdujFFBoDTNTA2698ERc+99toYutFVssLXvbAttWsPLPmpMA+M558/GPD70WWBANcHIAHrziNN9zFtGBZ67/WN63PZ3dQ6iNOLUl3LcDTDImIiKiILk6BiMaSqSU2ggEjrx5xkhueyxzY8QP4tDNoC4aEiWExEQNA20dPb4FxnRxYs29N4qd3UN55+3sHkJE14rqGAg0iAagwHH2TUPHwbiFiK5jOJHIOa8uGto6erKOZbFMQ4NlKVglVk+O6BqqIgZMXUPcCu5mmJoWeM4MTc86Z5ncYWP9phMREREVasRzDChbUCEylPD2Jm7bOKqhBnGfm9qEbaXFmnf1D6N3KIaEz7zxrPj/4p6fJ2w7by0G3+UshUVNUxHLcUN9aBsWjmqoKbqN2du2kQgzVmweCk5hsqBiby63gJnffG5BNCIiIqLRMv6GczkMeAt8uQWzbFsVHHbjMjRg1UmNuPjnz/qGrigI/ti+D4CTV3Dq95/Al+96ybdeQtwGPv/LzVjyT4/hrNufgpZ8ml3oTb6lgHwjiDqjDqWLWTa+9bttyLxX9nmojrgFrPrZJsTKcDPvbFvlfe/g145MFy1uRsvMybh55YJUsTV3WUNDWqExv/kMDbh55UI++SciIqJRNaoFzkpxOOUYuNr39OHs258q+cbW1ABNyx3y48azlysevxCGhqziY4ATR//TS07CZXe+MKrtKcY/nH0cjnnfFOzvP4hr1m3NOa+3RkHmqE+Afw5AISNJERERERWrYjkGlNtAzELU0BGzcsfS5yXZT94zufHs5YrHL4Qmbr3hdIamY0tn76i2pVhTayJYfswMXLd+S9553RoFbg7A8mOOSPs8KC8gcz4iIiKi0cRQogqKJywMlSM+XmUP+Zm1rWQOwnCJibXF8e+2HIxbOHp6zSi3pThVpob2PX1oOWJS3nmVUswPICIionGHbwwq5IbfvlxSzQKvi5c0o3XONFzrGQtfE+dPtWkgbttYdVIjPvuL5yDJ0LEqU4NlKyiloItg2FLQBb55B6VYvdRp21X3tGV9ZgN5w3JchgYsPboBT7V3lbeBIV27bguGLZXKCQmiCfCDC5gfQEREROMPOwYV0L6nr2ydAgBYt7kTV59xDDZdf4ZvPHttRM/KLbBthd9ftQz1tRF0dg8hnrDwmZ8/C6sMPYPvnjcfVREDi5qmomXmZLTv6St5nZoIbrvoRLy1tx8r/21Tyesr1HDyuPjlZ0R0DVef0YI5DTVY+v7p7BQQERHRuMSOQQW0dfSUdX2m5tQeWNg01TeefYtPbkHUcIpitcyMpuYpS74DgKqIgZWtTanfy7G/bty+aegwdclZOGy0RQ0Np82bgYVNUyvdFCIiIqKisWNQAYvKfAMZtw+Nee9Ww/WOeuNXN+FgwkJtRE/97jdPsdz9a9/Th7aOHhyMld7ZiCds3PPcO5hWa8IeQ50CIP34+/E7J0RERERjDTsGFdAyczKOmVmL7XsGCl5WAOia8wS9ytARt23ctGIBGiZFcX/bTlx331aYmpaaft6i2am6Cd4chLilcNbtT+GHFyxMm2fNfVudQl9F9hFWL3XG8C9nDgXg5CPc/Xxn2dYXlpur4eZhVJkaEpbte/z9BJ0TIiIiorGGHYMKaN/TF7pT8Hcfn4fZU6vx5r5BLGysw/TJVamn096n0F39w7juvq04GLdTIUNr7tuKU1ucmPdTW6ZDMsYuilsKf7f+0DznLZqN+UdOwVm3PwW/4UVzMTTBPZ9fgta5DWXPoaiEs084Amd/cDaWvr8BwKFcjYGY5Xv8/eQ7J0RERERjCTsGFVBIzP3MKdX41IeafD/z3lx2dg9l5RG4uQcNk6Lo7B6CoemIWenDo+raoTH3Aae2gqlriFuFDaNabeowDSc0qdw5FJVw+nHvw7kLZ6V+D6o9kEu+c0JEREQ0lrBjMMq6+odRZer5Z0wyNGD95g4sapqaGkHI++Q6Vx5BzLLQOxRDV/8w4gkLwz43+7G4hZd2dCOesDAYt7GrexDxImorDMYS2PjGXtRGdNTXmAUvP9Zk5km4IywVwu+c5MtHICIiIqoUUWpsJXIGaW1tVZs3b650M0rixpvHE3ZR9QIEQESXtPH0vTHrD7TtxJpkPPtQPJGKgx+MW7Ds8XGex4JlLQ34z8tPycqTWL20Gd8+/4MFrct7TphjQERERJUmIi8opVp9P2PHYHR09Q/j1O8/4TsOfimqTA1/vO701JuDrv5hbNt1AJ+/czOGi80gTjI04DvnnwAAuOGBbUUPEaoBEA2oSNHlIkQNDXddtti3XsJjX1le8JsDjkpEREREY0WujgFDiUaJX7x5OWTGrDdMiqKu2kRE10ruGER0HfNn1TnbKSLvwKXrAlPTMGgXt/xo0zXBhjf2+X7W1tFTcMegYVKUHQIiIiIa87RKN2CiaKyvzkr8LQe/mPVy1SSIWRb29R3ESzu6kSjhcb9lKxyMj49OAeC0d/m86b6flbsGBREREdFYwY7BKNnYvg/lDPOvMjVUmZrvGPpuTYIqU8PkqAFNittGwgYuu/MFfOt3ryJmKRS5GtgKZX5PUpxlLQ2oMjVE9eA9MXXBzSsXoHVuA1YvbU77zK3RQERERHQ4Yo7BKCh3fkFEF/z80lYcP6suZ4iKk2/Qm8w3KM95/t5flZ5zUA66IDCBO6ILfnX5Eryy6wASlg1D13Bay3S0zJyM9j19OPvHGxHzhFnpAqw96zgc+77JWce0lFGJiIiIiMYa5hhUWLnzC6KGjrrqSN64dSffIIKIrmM4kSjLtk1dw7yZk0vKOSgHEQTWYIsaTk2Fvz51btZnAzELUV1L6xjURAwsntuAhT5hQi0zJ4t+Ho8AABJOSURBVLNDQERERBMCOwajoFwx/66hhJVVa8Ad+catcVAb0fH67j689m4PhuLl6RQAQH2NiY79A2k31pWQK+UhV60A1hYgIiIi8sdQolHyQNtOXPvfW0oKv9EEaXkK7rj6bn0EZSsMWwqmLiMS5pO5/bFIE+C2CxflrBXA2gJEREQ0UTGUaAw4tWU6EiXerGfelN/5zA6ct2AWrrtva1r+wkjF/o/1TgHgtHH+kVNyznPeotk4tWU6awsQERERebBjMEo6u4dGZL0b3tg3IvURxrMwtQZYW4CIiIgoHYcrHSWN9dVFD/eZy/J508uav3A4YK0BIiIiosKxYzAKuvqH8ci23Xj/jJqi12FowILZ6U/BzznhfZhaE8FFJzdCF6TqFeghzmqOofxTorqgytRw+rHToQmgF9HuTOW+4DJ34+wPzkR9baTMWyEiIiI6/DH5eITd37YTV9/TVtI6dE1w1LRq/HnfYNr0KlMrujbCosYpeHnngaxaABqAL37kaKw4sREDMQtfvfelrO1WiqEBaz5xHHqHYugdiuOjxx6B6ZOrEE9Y+PVLO3HfizsR0ZlQTERERBSEyccV0tU/jK+tK61TAACWrXxvzkspmNbWecB3ug3gFxvfwuWnHY13urrHTKcAcCox//DR7Xh67elp+QFd/cP49Us7MZywMZwcRnXNfVtxast05hEQERERhcRQohHU2T2UrMQ1vuiiobN7CI+8uqfSTcmia5KVyO0WkPMyNW3EEr6JiIiIDkfsGIyg2ogOezyM8ZkhYdt4dVdvKmdhLLFslVWMjEXLiIiIiErHjsEIub9tJ866/amsGP7xIGYpXP+bV3D3852VbkoaUxfcvHJBVnhQw6QoblqxAFWmhslRA1WmhptWZM9HRERERMGYYzACuvqHsWb91hErNDYWaQDO+MARePS198q+blMDbr3wRCx9f0PgzT6LlhERERGVZkTfGIjIL0TkPRF5xTNtmog8KiJvJH/Wj2QbKqGzewj6WIzDGUGmoeEDeSoOF6vKNNA0rSbvzX7DpCgWNk1lp4CIiIioCCMdSvR/AZyZMW0tgMeVUvMAPJ78/bDSWF8NaxzmFpQiYdkjlpPAfAEiIiKikTeiHQOl1AYA+zMmnw/gl8m//xLAp0ayDZWwsX0f4tbEqkZsKeC2x9tLXo+ZLKoGHCqwxnwBIiIiopFXiRyDmUqpdwFAKfWuiBxRgTaMGDe/YIK9MCiKLsClS+egKqJj/pFTsPT90wE4oVi1ER0DMYv5AkRERESjZEwnH4vIFwB8AQCam5sr3JpwJmJ+QbEMTcP5JzZiYdPUtOnsCBARERGNvkoMV7pHRI4EgOTPwGFslFI/U0q1KqVaZ8yYMWoNLEVjfTUSEyyMqFgKzB0gIiIiGisq0TF4AMClyb9fCuD+CrRhxPzose2ITaBhSvPRA16eCIAfXLCIbweIiIiIxogRDSUSkbsBfATAdBHpBPBNADcCWCcilwHYAeCCkWzDaGrf04c7N+2odDMq6u/PPg5H1lVjSrWJWXVVGIhZiCcsPPvWfnT1D6M6ouMDR9blrElARERERKNvRDsGSqmLAz46YyS3WyltHT2VbkLF1ddEcO7CWVnTW+c2VKA1RERERBRWJUKJDltHNdRUugkVtygjkZiIiIiIxgd2DMrk/radWPlvmwpeTtcEk6PGiBUHG02rlzajZebkSjeDiIiIiIowpocrHS+6+odx7b1tBS93x+qTsKi5Hs/8uQtX3P3SCLRs5AgAb4p1RAeuPuOYSjWHiIiIiErENwZl0Nk9hGLGIeoejKNhUhQH41bZ2zTSIkb6pRM1DHR2D1WoNURERERUKr4xKIPaiF5UpeMnXt+NTW/uw/RxODqPUuk7HLdZk4CIiIhoPGPHoET3t+3Etevainpj8PArgbXdxrTVS5vROmca1ty3FaamIW7buGnFAg4/SkRERDSOsWNQgq7+YaxZvwWJw6jQ8YUnzYalgCOmRPHpExvRMxjDH17dg0kRHXU1EZzWMj2VYHxqy3R0dg+hsb6anQIiIiKicY4dgxJ0dg9BFw3A+MsRCHLy3AasbG1KmxZUg6BhUpQdAiIiIqLDBJOPS9BYXw1LHUavC8A6BEREREQTFTsGJWiYFEV9jVnpZpQN6xAQERERTVwMJSrB46/uxu4DsUo3I5TVS5rRPTiMgwkFUwdsJTjz+JkwdA37+mNpuQNERERENPGwY1CCR17dU+kmhKJrghWtTVjIMCEiIiIiCsBQohJ8fP7MSjchFE3AGgNERERElBM7BiX4j6ffrnQTQvnhBQs5ehARERER5cRQoiJtfqsLG9u7Kt2MnDQAj3xlOXMHiIiIiCgvvjEo0oY39lW6CXlVRXQMxA6fGgtERERENHLYMShSrTn2D51lK+YWEBEREVEoDCUqwsdv/R9s3zNQ6WbkZOqCm1cuYG4BEREREYXCjkGBHn9195jpFHxuSTMMXbCvbxjNDTX46LFHYDBuA1A4flYdOwVEREREFBo7BgUaK7ULTE2wkrUJiIiIiKhMxn6g/BgzdmoXMH+AiIiIiMqHHYMCnTH/fTh2Zm2lm4EfrlrEUCEiIiIiKhuGEhXhT6OQYxDVgeZpNZhcZWJR01QsaKzDtncP4Ojpk/Dx49/HTgERERERlRU7BgU69Z8eHZXtDFvA9z69AK1zG1LTPjUqWyYiIiKiiYihRAXaeSA2atsaD0XUiIiIiOjwwI5BgcxR3NbyedNHcWtERERENJExlKgAR619aNS2taylIS2MiIiIiIhoJLFjENJf//yZEVnvvBk1SCjg2CMmwdQFUdPARSc3sVNARERERKOKHYOQnn5rf9nXOTlq4AerTmSRMiIiIiKqOOYYhPThudPKvs64bbNIGRERERGNCXxjENL/tJfvjcHkqIG4beOmFQtYj4CIiIiIxgR2DEIoR9LxzMlRXH/WsVh2zBHo7B5CY301OwVERERENGawYzBC3r7xnMDP2CEgIiIiorGmYjkGInKmiPxJRNpFZG2l2jESZk+JVLoJREREREQFqUjHQER0AP8M4CwA8wFcLCLzK9GWkfDHr/9lpZtARERERFSQSr0xWAygXSn1plIqBuAeAOdXqC05/cOvt4Sed/aUSM4QIiIiIiKisapSOQazAXR4fu8EsCRzJhH5AoAvAEBzc/PotCzD77ft8Z3eUGvihW98fJRbQ0REREQ0Mir1xkB8pqmsCUr9TCnVqpRqnTFjxig0K9tZx88saDoRERER0XhUqY5BJ4Amz++NAHZVqC05fffTCwuaTkREREQ0HlWqY/A8gHkiMldEIgAuAvBAhdqS19s3noPPLm5EQ62Jzy5uZB4BERERER12KpJjoJRKiMgVAP4AQAfwC6XUtkq0JazvfnohvvvpSreCiIiIiGhkVKzAmVLqYQAPV2r7RERERER0SMUKnBERERER0djBjgEREREREbFjQERERERE7BgQERERERHYMSAiIiIiIrBjQEREREREYMeAiIiIiIjAjgEREREREYEdAyIiIiIiAiBKqUq3IRQR2QvgnQo3YzqAfRVuAx2+eH3RSOG1RSOJ1xeNJF5f5TdHKTXD74Nx0zEYC0Rks1KqtdLtoMMTry8aKby2aCTx+qKRxOtrdDGUiIiIiIiI2DEgIiIiIiJ2DAr1s0o3gA5rvL5opPDaopHE64tGEq+vUcQcAyIiIiIi4hsDIiIiIiJixyAUETlTRP4kIu0isrbS7aHxQUSaRORJEXlNRLaJyNXJ6dNE5FEReSP5sz45XUTk9uR1tlVEPuRZ16XJ+d8QkUsrtU80toiILiIviciDyd/nisizyevkXhGJJKdHk7+3Jz8/yrOO65PT/yQin6jMntBYIyJTRWS9iLye/A5byu8uKhcR+Ury/8VXRORuEani99fYwI5BHiKiA/hnAGcBmA/gYhGZX9lW0TiRAHCtUuoDAE4B8OXktbMWwONKqXkAHk/+DjjX2Lzkny8A+CngdCQAfBPAEgCLAXzT/Q+ZJryrAbzm+f37AG5NXlvdAC5LTr8MQLdSqgXArcn5kLweLwJwPIAzAfxL8juP6EcA/p9S6jgAC+FcZ/zuopKJyGwAVwFoVUqdAECH8z3E768xgB2D/BYDaFdKvamUigG4B8D5FW4TjQNKqXeVUi8m/94H5z/W2XCun18mZ/slgE8l/34+gDuVYxOAqSJyJIBPAHhUKbVfKdUN4FE4X4I0gYlII4BzAPw8+bsAOB3A+uQsmdeWe82tB3BGcv7zAdyjlBpWSr0FoB3Odx5NYCIyBcByAHcAgFIqppTqAb+7qHwMANUiYgCoAfAu+P01JrBjkN9sAB2e3zuT04hCS776PBHAswBmKqXeBZzOA4AjkrMFXWu8BsnPbQDWALCTvzcA6FFKJZK/e6+T1DWU/Lw3OT+vLfJzNIC9AP4jGar2cxGpBb+7qAyUUjsB/ADADjgdgl4AL4DfX2MCOwb5ic80DuVEoYnIJAD3AbhGKXUg16w+01SO6TRBici5AN5TSr3gnewzq8rzGa8t8mMA+BCAnyqlTgQwgENhQ354fVFoyXCy8wHMBTALQC2ccLRM/P6qAHYM8usE0OT5vRHArgq1hcYZETHhdAruUkr9Ojl5T/I1O5I/30tOD7rWeA1SplMBnCcib8MJbzwdzhuEqclX80D6dZK6hpKf1wHYD15b5K8TQKdS6tnk7+vhdBT43UXl8DEAbyml9iql4gB+DeDD4PfXmMCOQX7PA5iXzJaPwEl0eaDCbaJxIBkDeQeA15RSt3g+egCAOzrHpQDu90xfnRzh4xQAvcnX9X8A8HERqU8+afl4chpNUEqp65VSjUqpo+B8Jz2hlLoEwJMAViZny7y23GtuZXJ+lZx+UXLUj7lwkkefG6XdoDFKKbUbQIeIHJucdAaAV8HvLiqPHQBOEZGa5P+T7vXF768xwMg/y8SmlEqIyBVwvsx0AL9QSm2rcLNofDgVwOcAvCwibclpXwdwI4B1InIZnC/IC5KfPQzgbDgJVIMA/g8AKKX2i8h34HRSAeDbSqn9o7MLNM5cB+AeEfkugJeQTB5N/vxPEWmH86TtIgBQSm0TkXVw/lNOAPiyUsoa/WbTGHQlgLuSD8TehPN9pIHfXVQipdSzIrIewItwvndeglPd+CHw+6viWPmYiIiIiIgYSkREREREROwYEBERERER2DEgIiIiIiKwY0BERERERGDHgIiIiIiIwI4BEdFhTUQaRKQt+We3iOz0/B7xmX+aiHwpxHoNEenx/H6ciPxeRN4QkddE5B4ROUJELheR28q9X0REVH6sY0BEdBhTSnUBWAQAIvItAP1KqR/kWGQagC8B+New2xCRagAPArhKKfVwctoZABqKbLZ33YZSKlHqeoiIKD++MSAimqBEZI2IvJL8c2Vy8o0Ajk2+UbhRRKaIyBMi8qKIbBWRc31W9TkAG9xOAQAopR5XSr2W/LVRRP6QfJvwPc/2fyYim0Vkm4jc4JneKSLfEJE/AvgrETklue2nReRmT8FAIiIqI74xICKagERkMYBLACyGU9X9ORH5XwBrAbQopdy3DCaA85VSfSJyBIA/wnk74HUCgBdybG4hgA/BqU66XUR+rJTaBWBtsjquAeBJEVmvlHo1ucyAUurUZBteA3CpUuo5Ecn1toOIiErANwZERBPTMgD3KaUGlVJ9AH4L4DSf+QTA90VkK4BHADSJyPQCt/WYUqpPKTUE4HUAzcnpF4vIiwBeBPABAPM9y9wLAMltRZRSzyWn/6rAbRMRUUh8Y0BENDFJyPlWA6gD8CGlVEJEOgFUZcyzDcCSHOsY9vzdAmCIyDwAVwNYrJTqEZH/yljvQIHtJCKiEvGNARHRxLQBTvx+tYhMAnA+gKcA9AGY7JmvDsB7yU7BXwKY7bOu/wTwFyJypjtBRM4Wkfk+87qmJLd1QESOBPAJv5mUUnsBxEWkNTnponC7R0REheIbAyKiCSgZr383gOeTk36qlHoZAJIJwS8DeAjALQB+JyKb4YT8vOGzrkER+SSAW0XkxwDiANrgvBEI8iKAVwG8AuBNOLkLQf4GwH+ISB+cDk1v+D0lIqKwRClV6TYQEREFEpFJSqn+5N//HsA0pdS1FW4WEdFhh28MiIhorDtPRNbA+T/rbQB/XdHWEBEdpvjGgIiIiIiImHxMRERERETsGBAREREREdgxICIiIiIisGNARERERERgx4CIiIiIiMCOARERERERAfj/huaaEcXHH1wAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 936x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x2bc90a9f888>"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 936x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_filter.plot(kind='scatter', \n",
    "        x='TotalCharg', \n",
    "        y='Client_Months', \n",
    "        title='Correlation between Client_Months and TotalCharg')\n",
    "plt.show()\n",
    "df_filter.plot(kind='scatter', \n",
    "        x='TotalCharg', \n",
    "        y='MonthlyCharges', \n",
    "        title='Correlation between MonthlyCharges and TotalCharg')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Чем клиенты дольше обслуживаются компанией, тем больше от них доход, что логично. Также есть часть клиентов, что обслуживаются больше 70 мес, но доход от них небольшой. Видимо, они покапают мин.пакет и их всё устраивает. Но есть небольшой пробел на площади 50-70 мес и сумма 1800-2200. Стоит изучить, возможно, незаполнены данные, или проблемы с продуктом, поискать причины.\n",
    "\n",
    "график 2.Существует некий минимум суммы ежемесячных платежей. Логично, что данные плавно и равномерно распределяются, т.к. общая сумма напрямую зависим от суммы ежемесячных платежей. После суммы 100/мес. количество их резко уменьшается, возможно, в тех суммах содержатся доп.услуги. Интересно изучить, что это за платежи, какие услуги оплачиваются, чтобы использовать для расширения продуктовой линейки или допродаж."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 936x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pie_data = df_filter.Client.value_counts()\n",
    "ax = pie_data.plot(kind='pie',\n",
    "                   title='Quantity of clients')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "В нашем датасете много категориальных данных, для них как раз подходят круговые диаграммы."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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Rmtke+FfvEL2iIh7dx4AXeocQqaGTojh5vneIXlARjyCKk7nAyd45RGpqGtDyDtELKuKRfRnQ7FAift5Shx13KuJhRHGyP3CQdw4R4UveAbpNRTyEKE7WQcu5iJTFy6M4Odg7RDepiId2JNm57yJSDp/Pj2DqSyritURxMhntoBMpm22AD3iH6BYV8bMdQ/ZDF5FyOTmKk428Q3SDiniQ/K3Pp7xziMiQNgFO8g7RDSriZzoWmOsdQkSG9YEoTmZ5hyiaijgXxcl04ETvHCIyovWAD3qHKJqK+GnHAVt5hxCRUX0wipO+WrRXRcxTW8Oxdw4R6cimQF+t/KwizhwGbO4dQkQ69rH8xKu+oCLO9N2Yk0if2wZ4m3eIotS+iKM42RPYzTuHiIzZJ7wDFKX2RYy2hkWqarcoTvbzDlGEWhdxFCdb0Edvb0Rq6F+8AxSh1kUMvA+Y4h1CRMbtdfkK65VW2yKO4mQKWRGLSHWtQzZbYqXVtoiBtwJbeocQkQk72jvARNW5iI/1DiAihXhhFCcv9w4xEbUs4nwn3b7eOUSkMMd4B5iIWhYx2ZESdX3uIv3okCrPP1HXMjrUO4CIFGpDKrzYb+2KOIqT2cCe3jlEpHBHewcYr9oVMXAwYN4hRKRw/xTFyWbeIcajjkV8iHcAEemKScAbvEOMR62KOIqT5wIv9c4hIl3zRu8A41GrIiYblhCR/vXa/KzZSqlbEVd2r6qIdGQD4FXeIcaqNkUcxcnGwB7eOUSk6yo3PFGbIgb2o17PV6SuVMQl9jrvACLSE8+L4mQ77xBjUaci/mfvACLSM5XaKq5FEUdxsi0w1zuHiPRMpZZQqkURA/t4BxCRnnpZFCeVOYO2LkW8r3cAEempjYHKjBPXpYi1RSxSP5WZLL7viziKkzlofFikjlTEJbKLdwARcfEK7wCdUhGLSL96cRQnM71DdKIORbyzdwARcbEOFZltsQ5FrC1ikfqqxDhxXxdxFCfrA9t45xARN7t7B+hEXxcxsBNaFkmkzl7gHaAT/V7EGh8Wqbdtq3CGXb8XscaHReptXWCOd4jR9HsR7+gdQETcPd87wGj6vYgj7wAi4k5F7CVfQHBz7xwi4k5F7GhrdMSEiFTgyIl+LuLSD9CLSE9oi9jRbO8AIlIK25T9ELZ+LmJtEYsIwBRgI+8QI5nc6Sea2dbAvMFfE0K4uhuhCqIiFpE1ZgGPeocYTkdFbGZfAA4BbgVW51cHoMxFrKEJEVljFvA37xDD6XSL+EBguxDC8m6GKZiKWETW2MQ7wEg6HSP+O9k4S5XM8g4gIqVR6j7odIv4ceBGM7sCeGqrOITw4a6kKsZ63gFEpDRKvUXcaRH/LL9UiYpYRNao9haxma0D/HMI4Yge5CnSut4BRKQ0Sl3Eo44RhxBWA5uZ2dQe5ClEFCdTGcOheSLS9/piaCIFrjWznwHL1lwZQjijG6EKoGEJERlshneAkXRaxA/kl0nA+t2LUxgVsYgMto53gJF0VMQhhM90O0jBVMQiMlipp3Po9My6K8nOpHuGEMJrCk9UDBWxiAxW/S1i4PhBH08H3gqsKj5OYap28ol0yUvtr7duYYue8M4hvlYx+UFoeMcYVqdDEzesddW1Zva/XchTlCqdii1d9L2pX2SmPbm7dw5xtwg+651hWJ0OTQw+9GMSsDuwRVcSFeNJ7wBSDuuyotSHLUnPrPQOMJJOhyZuIBsjNrIhibuBd3crVAH0VlSAECYxUOoD+aVnyjyU2vHQxHO7HaRg2iIWZrFkkVm5z6iSnql+EQOY2Z5ky9MPnhj+7C5kKoKKWNjaFi6i5Ke2Ss9Uf2jCzM4BtgVu5JkTw5e1iDU0Icyxh5d4Z5DS6Ist4pcA24cQnnUscRmlrcZAFCcr0WFstRbZfL0zkjVKfSRVp2eb/IVyHyUxFG0V19xce6jUW0HSU/O9A4xkxC1iM7uEbAhifeBWM7uOZ04Mf0B3403I48AG3iHEz2x72DuClMc/vAOMZLShiZ8BmwO/Xuv6fSj5EwMeonpb8VKgzW2RhqZkjVL31WhF/GbgxBDCTYOvNLNlwKeB/+xWsAL8A9jJO4T42cSWas4RWeMB7wAjGW2MOFq7hAFCCH8gO5StzEr9jZfum8ETG3pnkNIo9RbxaEU8fYTbyr4UUam/8dJ9U1mlY4gFskNuF3iHGMloRXy9mR279pVm9m6y057LTEVcY9NY8aSZdtYKAPNptleP/ml+Rhsj/ijwUzM7nKeL9yXAVOCgbgYrgIq4xra0RxYCs71zSCmUvgtGLOIQwgJgTzN7NbBDfnUSQvhV15NNXOm/+dI9s23ho6iIJVP6/UWdTvpzJXBll7MUTUVcY/NswePeGaQ0St8FpV7HaYIWAiu8Q4iPebag1Ke0Sk+piL2krUYA7vLOIT7m2kMD3hmkNFTEzm72DiA+trKFpV4sUnpKRezsWSejSD1sau1p3hmkNG73DjAaFbH0pQ14fH3vDFIKD9Bs3+8dYjT9XsQamqipdVmxsXcGKYXrvQN0oq+LOG01UkCrNNSOFg2Vp1znHaATfV3EOW0V10y+aKimwBRQEZeGxolrJl80VCSgoYnSUBHXzFx76DHvDFIKd9Bst71DdKIORVz2WeKkYPNsgdYrFKjIsATUo4j/iHbY1cpcW7DSO4OUgoq4LNJWYzXPXnNP+tgce9i8M0gpqIhLpmozx8kEbG6P6ogJWQHc6B2iUypi6Tsb22MzvDOIuz/TbFdm9sW6FPGNwKPeIaQ3ZvCklkiSygxLQE2KOG01BoCrvXNIb0xl1SbeGcRdpV7vtSjinIYnamA6y58wY0PvHOJqOfBz7xBjoSKWvrKFLXrEO4O4u5Rme6l3iLGoUxHfDCzwDiHdlS8aKvX2X94Bxqo2RZwvnfQz7xzSXVo0tPZWUcHXeW2KOHeRdwDprnk2X4uG1tuVNNuVe1dUtyK+AqjEJCAyPnPtoeCdQVxVblgCalbEaauxEvgf7xzSPVvZI7X6nZZnGAAu9g4xHnX8pb3AO4B0jxYNrbVrabYruUO+jkX8C2CxdwjpDi0aWmuV3QdUuyJOW40VVPgHJiNblxUbeWcQN5V9XdeuiHM/9A4g3RDCJAY2804hLq6n2b7XO8R41bWIrwQe8A4hxcoXDZ3snUNcVHZrGGpaxPlk8Wd555BiadHQ2hoAfuQdYiJqWcS575CdhSN9QouG1lZCs516h5iI2hZx2mo8QEWPOZSh6fTm2vqad4CJqm0R577uHUCKM88WrPbOID13B3CZd4iJqnURp63GVcCt3jmkGLPtYe8I0nvfoNmu/GnttS7i3De9A0gxtGho7SwFvu8doggqYjib7AcqFadFQ2vnHJrtvpjEq/ZFnLYaS4BzvXPIxGnR0FpZDZzuHaIotS/i3H+Q/WClwqayapZ3BumZi2i27/IOURQVMZC2Gneg054rLV80VFvE9fEF7wBFUhE/7bNoq7iytrBFC70zSM9cQbN9g3eIIqmIc2mrcSdwvncOGZ859nBf7LSRjpzmHaBoKuJnOgVtFVfSXHtomXcG6Yk/0mxf6h2iaCriQfKtYh1BUUFaNLQ2jvcO0A0q4mc7BU0GVDlaNLQWfkqzfaV3iG5QEa8lbTXuAs7xziFjo0VD+95y+nRrGFTEwzmF7AcvFbGZtad7Z5Cu+grN9t+9Q3SLingIaatxN3CGdw7p3Po8PtM7g3TNAuBU7xDdpCIe3qnAfd4hpDNaNLSvnUSz3deT/quIh5G2Go8DH/POIZ3QoqF97E/A//UO0W0q4hGkrcaFwOXeOWRks1jyiBYN7Vsfodke8A7RbSri0X0IWOkdQoY32xY+6p1BuuJCmu1fe4foBRXxKNJW4zbgy945ZHhztGhoP3oSOME7RK+oiDvzWeAf3iFkaFo0tC+dUfWVmcdCRdyBtNVYinbclZYWDe079wCf9w7RSyriDqWtxk+AH3nnkGfToqF9ZTVwOM12rZYvUxGPzfuB+71DyDNtbo9O9c4ghTmFZvta7xC9piIeg7TVWAwcBWiCmRLZ2B5bzzuDFOIa+vwMuuGoiMcobTV+hY6iKBUtGtoXFpMNSdRyvF9FPD6fBP7iHUIyWjS0L7yXZvte7xBeVMTjkLYay4HDgRXeWepOi4b2he/RbF/gHcKTinic0lbjJuBT3jnqbkstGlp1twMf9g7hTUU8MacDv/QOUWeztWhola0A3kGzXfv1BlXEE5C2GgPAocDfvLPU1TxbUKvjTfvMiTTbf/QOUQYq4gnKD2l7M6D5DhzMswUap6+mX6LFF56iIi5A2mrcChyBji/uubn2UN9PkdiH7geOptnW6yWnIi5I2mr8DPi0d4662coe0TzE1bIYeD3N9nzvIGWiIi7WqcCF3iHqZFNrT/POIB1bDryZZvsW7yBloyIuUNpqBOBo4CbnKLWxgRYNrYoB4Aia7au9g5SRirhgaauxjGzn3UPeWepgOis29s4gHfkozbbeLQ5DRdwFaauRAq8lGw+TrglhEgObeqeQUZ1Gs32md4gyUxF3Sdpq/BloALU/WL1btGhoJZwLxN4hyk5F3EVpq/Eb4CCynRRSMC0aWnqXAe/SYWqjUxF3WdpqXAYcRrbygBRojj20xDuDDOtPwFtptrUCegdUxD2Qtho/Bd6FTvgoVGTzn/TOIENKgTfQbOts0w6piHskbTXOBj7inaOfzLWHVnlnkGdZgE7YGDMVcQ+lrcaZwL965+gXWjS0dO4F9qbZvt07SNWoiHssbTVOA95HdoC7TIAWDS2VO4BX0mzf6R2kilTEDtJW4zvAIWiFjwnZxB5b1zuDAPBnsi3h+7yDVJWK2EnaalxIdpyx5tMdpxk8uaF3BuE3wL402zqTdAJUxI7SVuNy4J+AR7yzVNEULRrq7efAa2m2dQbpBKmInaWtxnXA3mRztEqHtGiou7OAA7TMUTFUxCWQthp/BfYCbvPOUhVaNNTVSTTb76XZ1klKBVERl0TaatwLvAItRtqR2faw3g733krgSJrtf/cO0m9UxCWSr3/XAL7knaXsIlugt8S9tRjYn2b7XO8g/UhFXDJpq7E6bTVOAN4J6BTeYczVoqG99BtgF5rtK8bzxZa5xsz2H3TdwWb2/wpLWHEq4pJKW41zgD2Bu72zlJEWDe2JAeDzwD402/eM905CCAE4DjjDzKab2Qzgc8D/KSZm9amISyxtNf4E7A4k3lnKRouGdt184HU02yfSbE94To8Qwl+AS8hO8f80cHYI4S4zO8rMrjOzG83sG2Y2ycwmm9k5Znazmf3FzD480ccvOxVxyaWtxqPAm4CT0VSaT9GioV31S2Bnmu3LC77fzwDvAPYHTjOzHcjm694zhLALMBk4lGzjY9MQwo4hhB2AswvOUToq4gpIW42Qthqnkg1VaEIVYAOWre+doQ+tIltNY/9unCkXQlgG/Bg4J4SwHNgP2AP4g5ndCOwDbAv8DdjOzL5iZq8D2kVnKRsVcYXkJ3/sCnyFms9tPJ2VG3ln6DMp2XwRX+jyihoDPD3hlQHfCyHskl+2CyGcEkJ4BNgJuAb4MPDtLuYpBRVxxaStxhNpq/FRslOjx70DpcqMgQEtGlqoC8mOivhdjx/3cuBgM9sUwMxmmdlcM9sMsBDCBWTjybv1OFfPqYgrKm01riTbavied5Zem8WSRVo0tBDLgONott9Os93zt/8hhJvJxo0vN7ObgEuBzYE5wNX5cMVZwIm9ztZrlh1ZIlUWxcmbgO8AW3hn6YWd7a47/3vayc/3zlFxPwROoNn+h3cQ0RZxX0hbjUuA7YEzyXa49DUtGjohN5KNBb9DJVweKuI+kbYaj6atxoeBXYBxnQFVFVo0dFweAd4P7E6zfY13GHkmjbP1mbTVuAXYL4qTtwCnA5FvouLNtQVaor1zq4FvAv9Gs/2odxgZmraI+1TaalwEvIjsRJDHneMUao4t1O9tZ64EdqXZ/pBKuNy0s64GojiZDXwBOIzs2M1Ku2Lqx3+77aQHX+Gdo8TuBY6n2b7AO4h0RlsWNZC2GvenrcbhwA5ke8srPWGOFg0d1mKgCbxQJVwt2iKuoShOXgCcRHbef+X2E9wx7Z13T7VVz/XOUSL3AEIx/BMAAAMgSURBVF8GvkuzrcVoK0hFXGNRnGwDfBI4CpjiHKdjd097xxKtVwfADWSLCFygZYuqTUUsRHEyl2yyl3cBpZ7VbF2WP/7X6ces553DUQB+AXyRZvsq5yxSEBWxPCWKk1lkW8fvA17gHGdIz7UH77ty2sfneOdwsBw4DzidZvtW7zBSLBWxDCmKk1eTFfJBwFTnOE/Ze9JNN58ztbWjd44eWgR8CziTZnu+dxjpjsrtqJHeyCcVujKKk+cAxwDvBbbxTVWbRUMHgKvItoB/TLNdh+dca9oilo5EcWJkE3m/AzgA2MQjx6cmn3v1eyb//FUej90DfwDOB35Es/2gdxjpHW0RS0fSViMAlwGXRXEyGdgXeCtwID2c9W2OLei3LYc/AxcBP6TZvtM7jPjQFrFMSBQnk4BXkJXyW4B53Xy8S6aedM2Ok+5+ZTcfo8tWk608cTFwMc126htHykBFLIWK4mQ3siGMfYC9gA2LvP/fTvvg9Vvaoj2KvM8euBv4Hdk7iktothc655GSURFL1+Rby7uQlfKrgL2BWRO5z1umHXPbDFv+wgLidcsysrHe35KV7+9othf4RpKyUxFLz+Q7/F5MVsy7kc19sT0ws9P7uGva4fPXsVCmlUjuJCvcNcV7k85yk7FSEYurvJznkpXyi/PLDmRTeD5jch9jYODv044YcFivbglw36DLvcCfyLZ2H+lxFulDKmIppXxYY/agy9Yb8dhzbpz+vjnApmtdZkzgoZ7kmSX77IvDwppSLypiqb7mhtPJjmteh+xkiNX5v4M/XvvfAQ0hSFmoiEVEnGlieBERZypiERFnKmIREWcqYhERZypiERFnKmIREWcqYhERZypiERFnKmIREWcqYhERZypiERFnKmIREWcqYhERZypiERFnKmIREWcqYhERZypiERFnKmIREWcqYhERZypiERFnKmIREWcqYhERZypiERFnKmIREWcqYhERZypiERFnKmIREWcqYhERZypiERFnKmIREWcqYhERZypiERFnKmIREWcqYhERZypiERFnKmIREWcqYhERZypiERFn/x81q/l3z3MdqAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 936x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "Churn_pie_data = df_filter.Churn.value_counts()\n",
    "ax = Churn_pie_data.plot(kind='pie',\n",
    "                   title='Quantity of clients in churn')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Отток составляет около четверти. Требует расчета других метрик для оценки, много это или мало. В целом, по опыту могу сказать, что это нормально: если отток не превышает половину, это значит, что поток клиентов нормально пополняется, обеспечивая рост прибыли - свидетельствует о нормальной рентабельности."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 936x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "Contract_pie_data = df_filter.Contract.value_counts()\n",
    "ax = Contract_pie_data.plot(kind='pie',\n",
    "                   title='Quantity of Contract type')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Наибольшая доля ежемесячных контрактов, остальные приблизительно поровну. Это значит, что самая большая часть клиентов - новых или непостоянных. Ежегодные и двухгодичные контракты можно относить к постоянным клиентам. Свидетельствует о стабильности бизнеса."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x2bc90b79a08>"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 936x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_filter[['TotalCharg']].plot(kind='box',\n",
    "                                        title='TotalCharg distribution')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Видим длинный ус вверх, что значит, что большие объемы оплат больше исключение, чем правило. Медиана смещена вниз и весь бокс тоже, что говорит о количественном преобладании объемов платежей на меньшие суммы. Стоит изучить часть клиентов выше медианы и составить их портрет - возможно, здесь есть точка роста - в частности, увеличения среднего чека."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0x2bc92f14408>"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 540x540 with 12 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.pairplot(df_filter[['Client_Months', 'MonthlyCharges', 'TotalCharg']])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Слишком однородный и заполненный график времени, на протяжении которого люди являются клиентами компании, и ежемесячных оплат. Скорее всего, это указывается на сбалансированность оплат и здесь искать вроде нечего. \n",
    "\n",
    "На графике пересечения TotalCharg видим один высокий столбик возле нуля, основная часть распределена правее. Похоже, этот столбик означает нулевые контракты - нужно проверить в данных. Если это так - изучить подробнее их долю. Похоже на какие-то прерванные контракты. Нужно наложить на данные Клиент/нет и посмотреть.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "ename": "KeyError",
     "evalue": "\"None of [Index(['Yes', 'No', 'No', 'No', 'No', 'No', 'No', 'No', 'No', 'No',\\n       ...\\n       'Yes', 'No', 'No', 'Yes', 'No', 'No', 'Yes', 'Yes', 'No', 'No'],\\n      dtype='object', length=5986)] are in the [columns]\"",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mKeyError\u001b[0m                                  Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-31-285d55804cd1>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m charges_months = df_filter[df_filter.Client].pivot_table(\n\u001b[0m\u001b[0;32m      2\u001b[0m                         \u001b[0mindex\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m'Churn'\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      3\u001b[0m                         \u001b[0mcolumns\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m'Сlient'\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      4\u001b[0m                         \u001b[0mvalues\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m'TotalCharg'\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      5\u001b[0m                         aggfunc=sum).fillna(0)\n",
      "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\pandas\\core\\frame.py\u001b[0m in \u001b[0;36m__getitem__\u001b[1;34m(self, key)\u001b[0m\n\u001b[0;32m   2804\u001b[0m             \u001b[1;32mif\u001b[0m \u001b[0mis_iterator\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   2805\u001b[0m                 \u001b[0mkey\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mlist\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 2806\u001b[1;33m             \u001b[0mindexer\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mloc\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_get_listlike_indexer\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0maxis\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mraise_missing\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mTrue\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   2807\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   2808\u001b[0m         \u001b[1;31m# take() does not accept boolean indexers\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\pandas\\core\\indexing.py\u001b[0m in \u001b[0;36m_get_listlike_indexer\u001b[1;34m(self, key, axis, raise_missing)\u001b[0m\n\u001b[0;32m   1551\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1552\u001b[0m         self._validate_read_indexer(\n\u001b[1;32m-> 1553\u001b[1;33m             \u001b[0mkeyarr\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mindexer\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mo\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_get_axis_number\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0maxis\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mraise_missing\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mraise_missing\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   1554\u001b[0m         )\n\u001b[0;32m   1555\u001b[0m         \u001b[1;32mreturn\u001b[0m \u001b[0mkeyarr\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mindexer\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\pandas\\core\\indexing.py\u001b[0m in \u001b[0;36m_validate_read_indexer\u001b[1;34m(self, key, indexer, axis, raise_missing)\u001b[0m\n\u001b[0;32m   1638\u001b[0m             \u001b[1;32mif\u001b[0m \u001b[0mmissing\u001b[0m \u001b[1;33m==\u001b[0m \u001b[0mlen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mindexer\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1639\u001b[0m                 \u001b[0maxis_name\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mobj\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_get_axis_name\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0maxis\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1640\u001b[1;33m                 \u001b[1;32mraise\u001b[0m \u001b[0mKeyError\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34mf\"None of [{key}] are in the [{axis_name}]\"\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   1641\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1642\u001b[0m             \u001b[1;31m# We (temporarily) allow for some missing keys with .loc, except in\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mKeyError\u001b[0m: \"None of [Index(['Yes', 'No', 'No', 'No', 'No', 'No', 'No', 'No', 'No', 'No',\\n       ...\\n       'Yes', 'No', 'No', 'Yes', 'No', 'No', 'Yes', 'Yes', 'No', 'No'],\\n      dtype='object', length=5986)] are in the [columns]\""
     ]
    }
   ],
   "source": [
    "charges_months = df_filter[df_filter.Client].pivot_table(\n",
    "                        index='Churn', \n",
    "                        columns='Сlient', \n",
    "                        values='TotalCharg', \n",
    "                        aggfunc=sum).fillna(0)\n",
    "\n",
    "charges_months"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
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   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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