3. Logistic Regression/1. Exploratory Data Analysis (EDA).ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# **Logistic Regression**: HR Dataset 🕵️‍♀️"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This is the dataset of a large company, which has around 4000 employees. Every year, around 15% of its employees leave the company and need to be replaced with the talent pool available in the job market. This level of attrition (employees leaving, either on their own or because they got fired) is bad for the company, because of the following reasons:\n",
    "* the former employees’ projects get delayed, which makes it difficult to meet timelines, resulting in a reputation loss among consumers and partners\n",
    "* a sizeable department has to be maintained, for the purposes of recruiting new talent\n",
    "* more often than not, the new employees have to be trained for the job and/or given time to acclimatise themselves to the company\n",
    "\n",
    "Hence, it is important to understand what factors cause attrition. In other words, it is important to undersand what needs to be changed in order to get most of the employees to stay. Therefore, the goal of the study is to model the probability of attrition based on certain features."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# **Exploratory Data Analysis (EDA)**\n",
    "\n",
    "$\\qquad$ <span style=\"color:gray\"><b>0.</b> Settings </span><br>\n",
    "$\\qquad$ <span style=\"color:gray\"><b>1.</b> Dataset </span><br>\n",
    "$\\qquad$ <span style=\"color:gray\"><b>2.</b> Data Preprocessing </span><br>\n",
    "$\\qquad$ <span style=\"color:gray\"><b>3.</b> Exploratory Data Analysis (EDA) </span><br>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## **0.** Settings"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Libraries\n",
    "import matplotlib.pyplot as plt \n",
    "import seaborn as sns \n",
    "import pandas as pd  \n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## **1.** Dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "'''\n",
    "    DATASET INFORMATIONS\n",
    "\n",
    "    |--------------------------|------------|-------------------------------------------------------------------------------|\n",
    "    | Name                     | Data Type  | Description                                                                   |\n",
    "    |--------------------------|------------|-------------------------------------------------------------------------------|\n",
    "    | Age                      | continuous | Age of the employee                                                           |\n",
    "    | Attrition                | nominal    | Whether the employee left in the previous year or not                         |\n",
    "    | BusinessTravel           | nominal    | How frequently the employees travelled for business purposes in the last year |\n",
    "    | Department               | nominal    | Department in company                                                         |\n",
    "    | DistanceFromHome         | continuous | Distance from home in kms                                                     |\n",
    "    | Education                | continuous | Education Level                                                               |\n",
    "    | EducationField           | nominal    | Field of education                                                            |\n",
    "    | EmployeeCount            | continuous | Employee count                                                                |\n",
    "    | EmployeeID               | nominal    | Employee number/id                                                            |\n",
    "    | Gender                   | nominal    | Gender of employee                                                            |\n",
    "    | JobLevel                 | continuous | Job level at company on a scale of 1 to 5                                     |\n",
    "    | JobRole                  | nominal    | Name of job role in company                                                   |\n",
    "    | MaritalStatus            | nominal    | Marital status of the employee                                                |\n",
    "    | MonthlyIncome            | continuous | Monthly income in rupees per month                                            |\n",
    "    | NumCompaniesWorked       | continuous | Total number of companies the employee has worked for                         |\n",
    "    | Over18                   | nominal    | Whether the employee is above 18 years of age or not                          |\n",
    "    | PercentSalaryHike        | continuous | Percent salary hike for last year                                             |\n",
    "    | PerformanceRating\t       | continuous | Performance rating for last year                                              |\n",
    "    | RelationshipSatisfaction | continuous | Relationship satisfaction level                                               |\n",
    "    | StandardHours            | continuous | Standard hours of work for the employee                                       |\n",
    "    | StockOptionLevel         | continuous | Stock option level of the employee                                            |\n",
    "    | TotalWorkingYears        | continuous | Total number of years the employee has worked so far                          |\n",
    "    | TrainingTimesLastYear    | continuous | Number of times training was conducted for this employee last year            |\n",
    "    | WorkLifeBalance          | continuous | Work life balance level                                                       |\n",
    "    | YearsAtCompany           | continuous | Total number of years spent at the company by the employee                    |\n",
    "    | YearsSinceLastPromotion  | continuous | Number of years since last promotion                                          |\n",
    "    | YearsWithCurrManager     | continuous | Number of years under current manager                                         |\n",
    "    |--------------------------|------------|-------------------------------------------------------------------------------|\n",
    "\n",
    "'''"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Age</th>\n",
       "      <td>51</td>\n",
       "      <td>31</td>\n",
       "      <td>32</td>\n",
       "      <td>38</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Attrition</th>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BusinessTravel</th>\n",
       "      <td>Travel_Rarely</td>\n",
       "      <td>Travel_Frequently</td>\n",
       "      <td>Travel_Frequently</td>\n",
       "      <td>Non-Travel</td>\n",
       "      <td>Travel_Rarely</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Department</th>\n",
       "      <td>Sales</td>\n",
       "      <td>Research &amp; Development</td>\n",
       "      <td>Research &amp; Development</td>\n",
       "      <td>Research &amp; Development</td>\n",
       "      <td>Research &amp; Development</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DistanceFromHome</th>\n",
       "      <td>6</td>\n",
       "      <td>10</td>\n",
       "      <td>17</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Education</th>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>EducationField</th>\n",
       "      <td>Life Sciences</td>\n",
       "      <td>Life Sciences</td>\n",
       "      <td>Other</td>\n",
       "      <td>Life Sciences</td>\n",
       "      <td>Medical</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>EmployeeCount</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>EmployeeID</th>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gender</th>\n",
       "      <td>Female</td>\n",
       "      <td>Female</td>\n",
       "      <td>Male</td>\n",
       "      <td>Male</td>\n",
       "      <td>Male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>JobLevel</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>JobRole</th>\n",
       "      <td>Healthcare Representative</td>\n",
       "      <td>Research Scientist</td>\n",
       "      <td>Sales Executive</td>\n",
       "      <td>Human Resources</td>\n",
       "      <td>Sales Executive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MaritalStatus</th>\n",
       "      <td>Married</td>\n",
       "      <td>Single</td>\n",
       "      <td>Married</td>\n",
       "      <td>Married</td>\n",
       "      <td>Single</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MonthlyIncome</th>\n",
       "      <td>131160</td>\n",
       "      <td>41890</td>\n",
       "      <td>193280</td>\n",
       "      <td>83210</td>\n",
       "      <td>23420</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NumCompaniesWorked</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Over18</th>\n",
       "      <td>Y</td>\n",
       "      <td>Y</td>\n",
       "      <td>Y</td>\n",
       "      <td>Y</td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PercentSalaryHike</th>\n",
       "      <td>11</td>\n",
       "      <td>23</td>\n",
       "      <td>15</td>\n",
       "      <td>11</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>StandardHours</th>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>StockOptionLevel</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TotalWorkingYears</th>\n",
       "      <td>1.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TrainingTimesLastYear</th>\n",
       "      <td>6</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>YearsAtCompany</th>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>8</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>YearsSinceLastPromotion</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>YearsWithCurrManager</th>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                 0                       1  \\\n",
       "Age                                             51                      31   \n",
       "Attrition                                       No                     Yes   \n",
       "BusinessTravel                       Travel_Rarely       Travel_Frequently   \n",
       "Department                                   Sales  Research & Development   \n",
       "DistanceFromHome                                 6                      10   \n",
       "Education                                        2                       1   \n",
       "EducationField                       Life Sciences           Life Sciences   \n",
       "EmployeeCount                                    1                       1   \n",
       "EmployeeID                                       1                       2   \n",
       "Gender                                      Female                  Female   \n",
       "JobLevel                                         1                       1   \n",
       "JobRole                  Healthcare Representative      Research Scientist   \n",
       "MaritalStatus                              Married                  Single   \n",
       "MonthlyIncome                               131160                   41890   \n",
       "NumCompaniesWorked                             1.0                     0.0   \n",
       "Over18                                           Y                       Y   \n",
       "PercentSalaryHike                               11                      23   \n",
       "StandardHours                                    8                       8   \n",
       "StockOptionLevel                                 0                       1   \n",
       "TotalWorkingYears                              1.0                     6.0   \n",
       "TrainingTimesLastYear                            6                       3   \n",
       "YearsAtCompany                                   1                       5   \n",
       "YearsSinceLastPromotion                          0                       1   \n",
       "YearsWithCurrManager                             0                       4   \n",
       "\n",
       "                                              2                       3  \\\n",
       "Age                                          32                      38   \n",
       "Attrition                                    No                      No   \n",
       "BusinessTravel                Travel_Frequently              Non-Travel   \n",
       "Department               Research & Development  Research & Development   \n",
       "DistanceFromHome                             17                       2   \n",
       "Education                                     4                       5   \n",
       "EducationField                            Other           Life Sciences   \n",
       "EmployeeCount                                 1                       1   \n",
       "EmployeeID                                    3                       4   \n",
       "Gender                                     Male                    Male   \n",
       "JobLevel                                      4                       3   \n",
       "JobRole                         Sales Executive         Human Resources   \n",
       "MaritalStatus                           Married                 Married   \n",
       "MonthlyIncome                            193280                   83210   \n",
       "NumCompaniesWorked                          1.0                     3.0   \n",
       "Over18                                        Y                       Y   \n",
       "PercentSalaryHike                            15                      11   \n",
       "StandardHours                                 8                       8   \n",
       "StockOptionLevel                              3                       3   \n",
       "TotalWorkingYears                           5.0                    13.0   \n",
       "TrainingTimesLastYear                         2                       5   \n",
       "YearsAtCompany                                5                       8   \n",
       "YearsSinceLastPromotion                       0                       7   \n",
       "YearsWithCurrManager                          3                       5   \n",
       "\n",
       "                                              4  \n",
       "Age                                          32  \n",
       "Attrition                                    No  \n",
       "BusinessTravel                    Travel_Rarely  \n",
       "Department               Research & Development  \n",
       "DistanceFromHome                             10  \n",
       "Education                                     1  \n",
       "EducationField                          Medical  \n",
       "EmployeeCount                                 1  \n",
       "EmployeeID                                    5  \n",
       "Gender                                     Male  \n",
       "JobLevel                                      1  \n",
       "JobRole                         Sales Executive  \n",
       "MaritalStatus                            Single  \n",
       "MonthlyIncome                             23420  \n",
       "NumCompaniesWorked                          4.0  \n",
       "Over18                                        Y  \n",
       "PercentSalaryHike                            12  \n",
       "StandardHours                                 8  \n",
       "StockOptionLevel                              2  \n",
       "TotalWorkingYears                           9.0  \n",
       "TrainingTimesLastYear                         2  \n",
       "YearsAtCompany                                6  \n",
       "YearsSinceLastPromotion                       0  \n",
       "YearsWithCurrManager                          4  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Import the dataset\n",
    "data = pd.read_csv('./dataset.csv')\n",
    "data.head().T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Age', 'Attrition', 'BusinessTravel', 'Department', 'DistanceFromHome',\n",
       "       'Education', 'EducationField', 'EmployeeCount', 'EmployeeID', 'Gender',\n",
       "       'JobLevel', 'JobRole', 'MaritalStatus', 'MonthlyIncome',\n",
       "       'NumCompaniesWorked', 'Over18', 'PercentSalaryHike', 'StandardHours',\n",
       "       'StockOptionLevel', 'TotalWorkingYears', 'TrainingTimesLastYear',\n",
       "       'YearsAtCompany', 'YearsSinceLastPromotion', 'YearsWithCurrManager'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 4410 entries, 0 to 4409\n",
      "Data columns (total 24 columns):\n",
      " #   Column                   Non-Null Count  Dtype  \n",
      "---  ------                   --------------  -----  \n",
      " 0   Age                      4410 non-null   int64  \n",
      " 1   Attrition                4410 non-null   object \n",
      " 2   BusinessTravel           4410 non-null   object \n",
      " 3   Department               4410 non-null   object \n",
      " 4   DistanceFromHome         4410 non-null   int64  \n",
      " 5   Education                4410 non-null   int64  \n",
      " 6   EducationField           4410 non-null   object \n",
      " 7   EmployeeCount            4410 non-null   int64  \n",
      " 8   EmployeeID               4410 non-null   int64  \n",
      " 9   Gender                   4410 non-null   object \n",
      " 10  JobLevel                 4410 non-null   int64  \n",
      " 11  JobRole                  4410 non-null   object \n",
      " 12  MaritalStatus            4410 non-null   object \n",
      " 13  MonthlyIncome            4410 non-null   int64  \n",
      " 14  NumCompaniesWorked       4391 non-null   float64\n",
      " 15  Over18                   4410 non-null   object \n",
      " 16  PercentSalaryHike        4410 non-null   int64  \n",
      " 17  StandardHours            4410 non-null   int64  \n",
      " 18  StockOptionLevel         4410 non-null   int64  \n",
      " 19  TotalWorkingYears        4401 non-null   float64\n",
      " 20  TrainingTimesLastYear    4410 non-null   int64  \n",
      " 21  YearsAtCompany           4410 non-null   int64  \n",
      " 22  YearsSinceLastPromotion  4410 non-null   int64  \n",
      " 23  YearsWithCurrManager     4410 non-null   int64  \n",
      "dtypes: float64(2), int64(14), object(8)\n",
      "memory usage: 827.0+ KB\n"
     ]
    }
   ],
   "source": [
    "data.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## **2.** Data Preprocessing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Age                         0\n",
       "Attrition                   0\n",
       "BusinessTravel              0\n",
       "Department                  0\n",
       "DistanceFromHome            0\n",
       "Education                   0\n",
       "EducationField              0\n",
       "EmployeeCount               0\n",
       "EmployeeID                  0\n",
       "Gender                      0\n",
       "JobLevel                    0\n",
       "JobRole                     0\n",
       "MaritalStatus               0\n",
       "MonthlyIncome               0\n",
       "NumCompaniesWorked         19\n",
       "Over18                      0\n",
       "PercentSalaryHike           0\n",
       "StandardHours               0\n",
       "StockOptionLevel            0\n",
       "TotalWorkingYears           9\n",
       "TrainingTimesLastYear       0\n",
       "YearsAtCompany              0\n",
       "YearsSinceLastPromotion     0\n",
       "YearsWithCurrManager        0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Null elements\n",
    "data.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Age                        False\n",
       "Attrition                  False\n",
       "BusinessTravel             False\n",
       "Department                 False\n",
       "DistanceFromHome           False\n",
       "Education                  False\n",
       "EducationField             False\n",
       "EmployeeCount              False\n",
       "EmployeeID                 False\n",
       "Gender                     False\n",
       "JobLevel                   False\n",
       "JobRole                    False\n",
       "MaritalStatus              False\n",
       "MonthlyIncome              False\n",
       "NumCompaniesWorked          True\n",
       "Over18                     False\n",
       "PercentSalaryHike          False\n",
       "StandardHours              False\n",
       "StockOptionLevel           False\n",
       "TotalWorkingYears           True\n",
       "TrainingTimesLastYear      False\n",
       "YearsAtCompany             False\n",
       "YearsSinceLastPromotion    False\n",
       "YearsWithCurrManager       False\n",
       "dtype: bool"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.isnull().any()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(4410, 24)"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(4382, 24)"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# We can either fill the nulls with 0 or delete the rows. \n",
    "# In this case we can try to delete the rows with missing \n",
    "# elements since we have quite a lot of data.\n",
    "\n",
    "# Fill\n",
    "# data.fillna(0, inplace =True)\n",
    "\n",
    "# Drop\n",
    "data = data.dropna(how='any', axis=0)\n",
    "data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(4382, 20)"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# We remove unnecessary information\n",
    "data.drop(['EmployeeCount','EmployeeID','StandardHours', 'Over18'], axis=1, inplace=True)\n",
    "\n",
    "#   * 'EmployeeCount' is always equal to 1 (as employees are interviewed one at a time)\n",
    "#   * 'EmployeeID' are unique values \n",
    "#   * 'StandardHours' is (basically) always 8\n",
    "#   * 'Over18' because all the employees are >18\n",
    "\n",
    "data.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## **3.** Exploratory Data Analysis (EDA)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "705\n",
      "3677\n",
      "The percentage of employee that left in the previous year is:  16.08854404381561 %\n",
      "The percentage of employee that did not leave in the previous year is:  83.91145595618438 %\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# How many employee left in the previous year?\n",
    "print(len(data[data['Attrition']=='Yes']))\n",
    "print(len(data[data['Attrition']=='No']))\n",
    "\n",
    "print('The percentage of employee that left in the previous year is: ',\n",
    "      (len(data[data['Attrition']=='Yes'])/len(data))*100, '%')\n",
    "print('The percentage of employee that did not leave in the previous year is: ',\n",
    "      (len(data[data['Attrition']=='No'])/len(data))*100, '%')\n",
    "\n",
    "sns.countplot(x = \"Attrition\", data=data)\n",
    "plt.title('Attrition')\n",
    "plt.ylabel(None)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Age', 'Attrition', 'BusinessTravel', 'Department', 'DistanceFromHome',\n",
       "       'Education', 'EducationField', 'Gender', 'JobLevel', 'JobRole',\n",
       "       'MaritalStatus', 'MonthlyIncome', 'NumCompaniesWorked',\n",
       "       'PercentSalaryHike', 'StockOptionLevel', 'TotalWorkingYears',\n",
       "       'TrainingTimesLastYear', 'YearsAtCompany', 'YearsSinceLastPromotion',\n",
       "       'YearsWithCurrManager'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "20"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(data.columns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "## For visualization purposes, let's define a function \n",
    "## to plot categorical variables based on a particular\n",
    "## hue and to print the percentage.\n",
    "\n",
    "def countplot_with_perc(x, data, hue):\n",
    "    \n",
    "    # Define the plot\n",
    "    ax         = sns.countplot(x=x, data=data, hue=hue);\n",
    "    bars       = ax.patches\n",
    "    half       = int(len(bars)/2)\n",
    "    left_bars  = bars[:half]\n",
    "    right_bars = bars[half:]\n",
    "\n",
    "    # Add the percentage\n",
    "    for left, right in zip(left_bars, right_bars):\n",
    "        height_l = left.get_height()\n",
    "        height_r = right.get_height()\n",
    "        total    = height_l + height_r\n",
    "        ax.text(left.get_x() + left.get_width()/2.,\n",
    "            height_l + 40, '{0:.0%}'.format(height_l/total), ha='center');\n",
    "        ax.text(right.get_x() + right.get_width()/2.,\n",
    "            height_r + 40, '{0:.0%}'.format(height_r/total), ha='center');\n",
    "\n",
    "\n",
    "## Define a customized histplot for continuous variables.\n",
    "\n",
    "def histplot_continuous(x, data, hue):\n",
    "    sns.histplot(data=data, x=x, hue=hue,\n",
    "        kde=True, bins=15, palette='tab10', multiple='stack', line_kws={'lw': 5});\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Overview of 4 variables at the time."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1296x288 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(18, 4))\n",
    "\n",
    "n_row = 1\n",
    "n_col = 4\n",
    "hue   = 'Attrition'\n",
    "\n",
    "#------------------------------------------------------------------------------------------\n",
    "plt.subplot(n_row, n_col, 1)\n",
    "histplot_continuous(x='Age', data=data, hue=hue);\n",
    "plt.title('Age')\n",
    "plt.ylabel(None)\n",
    "plt.xlabel(None)\n",
    "\n",
    "#------------------------------------------------------------------------------------------\n",
    "plt.subplot(n_row, n_col, 2)\n",
    "countplot_with_perc(x='BusinessTravel', data=data, hue=hue);\n",
    "plt.title('Business Travel')\n",
    "plt.xticks(rotation=45);\n",
    "plt.ylabel(None);\n",
    "plt.xlabel(None);\n",
    "\n",
    "#------------------------------------------------------------------------------------------\n",
    "plt.subplot(n_row, n_col, 3)\n",
    "countplot_with_perc(x='Department', data=data, hue=hue);\n",
    "plt.title('Department')\n",
    "plt.xticks(rotation=45);\n",
    "plt.ylabel(None);\n",
    "plt.xlabel(None);\n",
    "\n",
    "#------------------------------------------------------------------------------------------\n",
    "plt.subplot(n_row, n_col, 4)\n",
    "histplot_continuous(x='DistanceFromHome', data=data, hue=hue);\n",
    "plt.title('Distance from home')\n",
    "plt.ylabel(None);\n",
    "plt.xlabel(None);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Insights**\n",
    "\n",
    "* 'Business Travel' seems to have an influence on the attrition: the percentage of employees who left increases when the frequency with which they traveled \n",
    "* Also 'Department' could have an influence: the highest percentage of people who have left the company is in 'Human Resources'\n",
    "* Instead, 'Distance from home' and 'Age' do not have particularly different trends for the two categories of people, so they do not seem to be very relevant features"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1296x288 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(18, 4))\n",
    "\n",
    "n_row = 1\n",
    "n_col = 4\n",
    "hue   = 'Attrition'\n",
    "\n",
    "#------------------------------------------------------------------------------------------\n",
    "plt.subplot(n_row, n_col, 1)\n",
    "countplot_with_perc(x='Education', data=data, hue=hue);\n",
    "plt.title('Education')\n",
    "plt.ylabel(None);\n",
    "plt.xlabel(None);\n",
    "\n",
    "#------------------------------------------------------------------------------------------\n",
    "plt.subplot(n_row, n_col, 2)\n",
    "countplot_with_perc(x='EducationField', data=data, hue=hue);\n",
    "plt.title('Education Field')\n",
    "plt.xticks(rotation=45);\n",
    "plt.ylabel(None);\n",
    "plt.xlabel(None);\n",
    "\n",
    "#------------------------------------------------------------------------------------------\n",
    "plt.subplot(n_row, n_col, 3)\n",
    "countplot_with_perc(x='Gender', data=data, hue=hue);\n",
    "plt.title('Gender')\n",
    "plt.ylabel(None);\n",
    "plt.xlabel(None);\n",
    "\n",
    "#------------------------------------------------------------------------------------------\n",
    "plt.subplot(n_row, n_col, 4)       \n",
    "countplot_with_perc(x='JobLevel', data=data, hue=hue);            \n",
    "plt.title('Job Level')\n",
    "plt.ylabel(None);\n",
    "plt.xlabel(None);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Insights**\n",
    "\n",
    "* The education level, as well as the gender and the job level, does not seem to be particularly relevant, the percentages are fairly homogeneous\n",
    "* Instead, the education field could have an impact (this could be related to the 'Department')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1296x288 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(18, 4))\n",
    "\n",
    "n_row = 1\n",
    "n_col = 4\n",
    "hue   = 'Attrition'\n",
    "\n",
    "#------------------------------------------------------------------------------------------\n",
    "plt.subplot(n_row, n_col, 1)\n",
    "countplot_with_perc(x='JobRole', data=data, hue=hue);            \n",
    "plt.title('Job Role')\n",
    "plt.xticks(rotation=90);\n",
    "plt.ylabel(None);\n",
    "plt.xlabel(None);\n",
    "\n",
    "#------------------------------------------------------------------------------------------\n",
    "plt.subplot(n_row, n_col, 2)\n",
    "countplot_with_perc(x='MaritalStatus', data=data, hue=hue);\n",
    "plt.title('Marital Status')\n",
    "plt.ylabel(None);\n",
    "plt.xlabel(None);\n",
    "\n",
    "#------------------------------------------------------------------------------------------\n",
    "plt.subplot(n_row, n_col, 3)\n",
    "histplot_continuous(x='MonthlyIncome', data=data, hue=hue);\n",
    "plt.title('Monthly Income')\n",
    "plt.ylabel(None);\n",
    "plt.xlabel(None);\n",
    "\n",
    "#------------------------------------------------------------------------------------------\n",
    "plt.subplot(n_row, n_col, 4)\n",
    "countplot_with_perc(x='NumCompaniesWorked', data=data, hue=hue);            \n",
    "plt.title('Num Companies Worked')\n",
    "plt.ylabel(None);\n",
    "plt.xlabel(None);\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Insights**\n",
    "\n",
    "* The job role and the number of companies the employeed worked for do not seem to have a strong impact on the attrition \n",
    "* The marital status, instead, is quite relevant: the highest percentage of employees who left (among the three groups) were single\n",
    "* Also the income does not seem to be of particular relevance: obviously as salary increases the number of people leaving the company decreases, but in general also the number of employees"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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pPZO8Mit/62zdo+UXeZ1Api1Ot484VT0NzAD+gdNVZIZb5wsgXTIs9x++F/A/nC68PXHG5WU7OYefTQJuFpEbxEkyFCpOMpOITOp/ifMtwWPiJGQqISIt3HVjgFfkTFK0CiJyaxbbsReoIZkkEBInOeGTqe1ybyy641xUgDPu5zhwRESqAk+d5VglcIYkHHcji+e8QVfVWGAFTs+E6W7vjpz2CE6X5jluspQvcYJV94pIsPu4UpxEecbkiCy8t/YCEeImVPO4CX7Fff9XB57AOZcAjAUGicgV4qiVek5wHQM6AK0lk6mMVHUjzvlksjjJkQJFpAHOBfYCVV3gUb2jONNeFsHpLbZMVVOj6XvJPAD6C843jk+77602OD3Ppp7jV3Y2Ie45NFScTO57gfnACBEpKU7i2ktF5J8e23yC841HD/d5qg+AB93eCyIixUTkJhEpcQHtM+Z8TQFedD/XywMvceY9vxcoJyKlPOpn+3M2gyU455UlHmU/umUr1Ukee65zUabcwNzzwAI5j2Sr7nEfFZGq4iSAfuY89nG2668iOF9sxQFJ4iSuO+uUluIkca0lIgIcwekhmnK2bYzJRAmcm9DD4iRXH5LbB1TVv4GVwL9FpIiIXI3zmZzXMn1fitMb+lb3i79EnPuOs73HAjyvCdxAYTGcG/Q4cJKvcuYLHESkq8c92CG3buoxznZN45PbC/MDYKScSfhcVURucKvk+d86r+R1QGE7cJU4XT4EZ1qy9TjfQF/r1vknTqIfT08Bo90gRBhn/uBZ6qEgPmaW8Fg3WkSOeywPcOvNTb2ody+gz/YNX5a4F9634nywxuFE5p4ik7+D++1ZO5w3+R7gL878nkbhjL2eLyLHcG5IWvjajw+fuT8PiMivPtYfc/f1i4iccPe9FieyBk5QpxnOh+hXnAkG+TIIuNvd5wc4YymzYjzQiHMPdzgvqqo4377E4oyDPI1zAXEXzrc1eziTNMeYnHKu99YinO5ze0QkdajBAJwxeVtwLvI/4Uwvrs+AV9yyYzjn0rKeB1TVwzjnkRtFJLMhY4/gBCcm4Xxof4Mzlu+ODPU+wfkAPIiTCO4ej3X/BsaL080v3Qwpblfnm3ESUe7HyStzn9tD43wdx/lgTn1chzPtZRGcBG6HgM/xGM6hqr/g/C7DcbLlp5avxElc9Y673SacILYx/jAM52J/NbAGJ6HZMEjr1TQF2OK+18I5/8/ZVN/jDA360aNsiVvmOV1kpueic1HV8Th5BxaJM+QoOz7ACRauBn7D6T2QhHMTnyVnu/5yr7UG4gQuDuH8LmefY5e1cYbkHsfpzfF/qvpd1l+SMWnewrm32Y9zTfBNHh23B874/gM455dp5PEU1ue4LwrACVruwrnm+CdnD5Z2J/01wWZV/QMYgfMe3YtzX7HUY5srca7HjuO85x91e23BWa5pzuEZnGuIZeIMa1iA0ysB/Pe3znWpmT7z7oAi0TjfECXhfDD8C+eXOxmn+9xx4EFV/d2tH46TFOwmd7krzh/5ME6egrhzHK8qzgffZaqaICKf4iT5GyciUTizJdye2h1FRJbh9Jp4Hvgd55vrb4Duqnowp34P5uxEpDXOzU11zet/UmOMFxEZh5N46UV/t8UYU3i5PQjGqGr1c1Y2xmSJOFMmblDVi+Zbc5N3vObwzW3uP2rGf9ZEnER5vurv8lznfiP3ma+6ZxEEhInIaZxeDbvESYAxHCcSfbtHXcFJPFQU51vre4CvLZiQd0QkGCfQM9aCCcYYY0zhJc6wxGtxeilUwrmG/OKsGxljzkpErsT55n8rTg/dWzl3UnNjfMrrIQ95TjOfWeIRYLaq7s6wyTs43VAicbrF3I+Tu8HkAXFyFhzG6ab8ll8bY4wxxhh/E5yhlodweraux8krYUyh52tYt4h8KCK/i8hqcRLZp/bCThvWjZPodDFOfqMpwEOq+pv/XokpyPJ8yENeE2dmiek4wywO4/RumIEzfr6NqiaJyHGPDJye276EM2YvBWds7g7gSU0/9ZkxJo+JyOM4w6UUZ4xxauAvCuficyPQS1WPi8gAnOy923GGSZ0SkZbAHar6uF9egDHGGGPMBchsWDcwQ1WPunXeBPa5M5rYsG6TKy76Hgr4nlkiGmdu5E0isg1nbvJNnhu5uRua40xxOQWo5+6rg4iME5Gt4sxrGiMiTdxt7nCjhEtEpJxbdqk7LskYkwPcD9CBQJSqNgQCcZJpPq6ql6tqY5zgwSPuJj1wZo75CbjBTQg7GGeWAmOMMcaYgip1WHcQ7rBuj2CCcCaZPdiwbpNL8kUPhfLly2uNGjVyZd8nTpxg27Zt1K9fHxFh27ZtFCtWjIoVK6bV+e2332jatGm67bZt20aZMmXYvn07gYGB1K9fnz/++IMSJUqQkpJCqVKlKFOmTLpt/vzzT2rXrs2hQ4dITk6mYsWKbNmyhfDwcEJDQzHGn1atWrVfVSv4ux1Zldl54dSpU2zYsIHLLruMwMBANm/eTMWKFSlZsiQAqsr27dsJCQmhcuXKrF+/nrp167J7926KFy9OUlISSUlJVKpUKY9fkTH5z8VyXjDG5JzzOS+IyEdAJ5xvwxtmWPckzvDjCqq6373RHQV0xOly30tVf3Xr9gRSk/8Oc2cIOavCfF7Yu3cvu3btIiAggJIlS1KzZk3AuY85cuQIoaGh1K5dm4CAAA4cOMDevXsJCwsjMjKSzZs3U7t2bZw/hzFnd9bzgqr6/XHFFVdobnrppZe0bt262qBBA73nnnv05MmT6dYXK1Ys3fKvv/6qvXv31tjYWI2IiNBhw4Zp/fr1tUKFCjpnzhzt2bOnfvbZZ17Hufbaa/XgwYP63nvv6bvvvqs//PCDPvbYY7n62ozJKpz5xP3+fs/q42znhbfeekuLFSum5cuX17vvvjutvFevXlqxYkVt06aNnjhxQlVVJ0yYoE2aNNEePXro0aNH9dprr9VTp06d3y/RmIvMxXReMMbkjPM5LwCtcaYUX5uhvBowD/gbKO+WdcSZuleAq4Bf3PKyONOSlgXKuM/LnOvYhfW8cPDgQb322mt13759eurUKb311lt14sSJaeuTkpL0oYce0o8++shr2+joaP3iiy901qxZescdd+hjjz2mycnJedl8U8Cc7bxQoIY8jBw5kgYNGtCwYUO6d+/OyZMn6dWrFzVr1qRJkyY0adKEmJgYAKZPn06DBg1o1aoVAwcOZMOGDcyaNYtTp04REhKSbr/Hjx9Pt9y0aVM+/PBDqlatyqBBg3j11VeJi4ujXbt2dOrUCYAXXniBxo0b8/jjj5OY6Ezb+txzz9G2bVvmzJlD9+7defnllxk8eHDu/2KMKUQOHTrErFmz2Lp1K7t27eLEiRNMmjQJgI8//phdu3ZRv359pk1zRhrde++9/Pbbb0yaNImRI0cycOBAvv76a7p06cLjjz9OSoqlRDHGGGMuhKr+gDNrQEYjgac50+0enBkFJrj3KcuA0iJSBbgB+FZVD6rqIeBboEMuN73AWrBgATVr1qRChQoEBwfTuXNnfvrpp7T1gYGB3HXXXUyfPj3ddrt27WL58uXcdtttjBgxgmnTplG6dGkWLlyY1y/BXCQKTEBh586djB49mpUrV7J27VqSk5OZOnUqAMOHDycmJoaYmBiaNGkCwNtvv82KFSt44IEH+OSTTwB48cUXGTZsWJaPmdmNy6uvvsqGDRtYsWIFBw8e5L///S8A7dq1Y9WqVcyZM4dZs2bRsWNHNm7cSJcuXejbty/x8fE5+0sxJpeJyEcisk9E1mYoHyAiG9ycIa97lD8nIptE5E8RucGjvINbtklEnr2QNtkHqDHGGJP/icitwE5V/T3Dqqo4ic5TxbplmZX72nc/EVkpIivj4uJysNUFR2RkJMuWLSM+Ph5VZeHChdSvX59Nm5y0cKrK7NmzqVevXrrtBg8ezNChQwFISEhARAgICLD7FHPeCkxAASApKYmEhASSkpKIj48nPDw807oBAQEkJiYSHx9PcHAwS5YsoXLlytSuXTvLx8vsxqVKlSqICCEhIdx///0sX7483Xbx8fGMGzeO/v37M2TIEMaPH0/Lli2ZPHnyeb92Y/xkHBm+HRCRa3G+XbhcVRvgjItERC7DSY7YwN3m/0QkUEQCcWZguBG4DOju1j0v9gFqjDHG5G8iUhRnNoFcmeJTVd9X1ShVjapQocCkgclRLVq0oEuXLjRr1oxGjRqRkpJCv3796NmzJ40aNaJRo0bs3r2bl1468yf47TdnZshmzZoBcPfdd9OoUSOWLl1Khw7WGcScnyB/NyCrUocfREZGEhYWRvv27Wnfvj2ffPIJL7zwAkOHDuX666/ntddeIyQkJG34QXh4OJMmTaJr165pPRqyyvPGJSwsjIULFxIVFcXu3bupUqUKqsrMmTNp2DBd7hmGDx/OwIEDCQ4OthuXAuL06dPExsZy8uRJfzflgoWGhhIREUFwcPAF70tVfxCRGhmKHwJeU9VEt84+t/xWYKpbvtWdOaW5u26Tqm4BEJGpbt0/zqdNnh+gQUFBNG3alH79+nHddddx9OhRVJXLL7+cd999N22bzD5Aq1WrxtNPP30+zTCFgJ0XjDEZ2Xkhyy7FmSntdzfpXwTwq4g0B3bi5FZIFeGW7QTaZChfnBuNu1hER0cTHR2drmzp0qWZ1k8d1p3qscce47HHHsut5hUahf68kFlyhbx8ZCWZSmaJR3bt2qUpKSl68uRJve+++zQ6Otpr2/Hjx+vIkSP1559/1jvuuEP/9a9/pSVsOxdfCR2vvfZabdiwoTZo0EB79Oihx44dS6u/c+dO7dixY9ryp59+qpdddpn+4x//0H379mXpmCbvbdmyRePi4jQlJcXfTbkgKSkpGhcXp1u2bPFax3kmXwNq4JFkCYjBmXr1F+B74Eq3/B3gHo96HwJd3MdYj/J7gXcyOVY/YCWwMjIyMvd+UfnYm2++qZdddpk2aNBA77rrLk1ISNCePXtqjRo19PLLL9fLL79cf/vtN1VV/fzzz/Wyyy7Tli1b6v79+1VVddOmTXrnnXf68RVcPOy8kOk54SNgX4bzwnBgA7Aa+AIo7bHuOWAT8Cdwg0d5B7dsE/BsVo5dWJOvmfzDzgtZv17IsG4bZ5Iy3kT6pIzL3fKywFachIxl3Odlz3VcOy8Yfyvs54UCM+TBX8MPoqOj2bBhA2vXrmXixImEhISwaNEi1qxZw9q1a5k0aRLFixdPqx8eHs5XX32Vtty1a1fWrVvH0qVLKaxdsgqCkydPUq5cuQI/dY6IUK5cudyOkAbhfOhfBTwFfCo59IvTQt6F0R+5Ykzm7LyQqXF4J0r7Fmioqo2BjThBhDwbCmVMXrHzQqb7mwL8DNQVkVgR6XOW6nNxZnDYBHwAPAygqgeBl4EV7mOoW2ZMvlbYzwsFZsiDDT8wua2gnwRS5cHriAVmuNHK5SKSApQn8y6MnKXcZJCaKyY4ODhPcsWYs7Pzgjf1MRRKVed7LC7D6ZkEeTQUypi8ZOcFb6ra/Rzra3g8V6B/JvU+wukFZUyBUpjPCwWmh0JmiUd69OiRlnhk//79vPjii2nbeGZ1BxgwYABXXnklY8aM4e677/bTKzGmwJsJXAsgInWAIsB+YDZwl4iEiEhNoDawHOdbhtoiUlNEiuB8WznbHw3P7zxzxVSpUoVSpUrRvn17wKaqNQVKb5zuzGDZ3I0xxpiLWoEJKIANPzD+M3PmTESEDRs2ABATE8PcuXPT1i9evDjd1IUZzZ49m9deey1tX3/8ceZLuJdeeokFCxbkUssvTCZdGD8CLnGnkpwK9HSHV60DPsX5hvEboL+qJqtqEvAIMA9YD3zq1jUZ2FS1BUthPS+cjYi8ACQBOTatUWEfCmUKFjsvGGMyutjPC/lqyMMVT03wKls1/D4/tMSY9KZMmULLli2ZMmUK0dHRxMTEsHLlSjp27Ag4J4LixYvzj3/8w2vbpKQkbrnlFm655RbAORF06tSJyy5zhgunTmWYH52lC+M9mdR/BXjFR/lcnDGTF8zXeeJC5ZfzjGeuGCAtV8w99zi/7tRcMW+88Ua67VJzxcybN49OnToxY8YMPv/8cyZPnkzfvn3z/HUUFoX1vJAZEekFdAKud7s0gw2F8qlaZHVid2zP1jYR1SLZsf3vXGqRySl2XjD+kt3ro/xy7VMYXOznhXwVUDAmPzp+/Dg//vgj3333HTfffDMvvPACL730EgkJCfz44490796dMWPGEBgYyKRJk3j77bf58MMPCQ0N5bfffuOaa66hcePGrFy5krvvvpvZs2fz/fffM2zYMKZPn87LL79Mp06d6NKlCwsXLmTQoEEkJSVx5ZVX8u677xISEkKNGjXo2bMnc+bM4fTp03z22WfUq1fP378ak8MsV0zBYeeF9ESkA/A08E9V9fzHmw18IiJvAuGcGQoluEOhcAIJdwGFZixi7I7tvDn/z2xt80T7urnUGpNT7LxgjMmoMJwXCtSQB2P8YdasWXTo0IE6depQrlw51qxZw9ChQ+nWrRsxMTE888wzPPjggzz++OPExMTQqlUrAGJjY/npp59488030/b1j3/8g1tuuSUtY/+ll16atu7kyZP06tWLadOmsWbNGpKSknj33XfT1pcvX55ff/2Vhx56yOsbanNxsFwxBUdhPi9kMhTqHaAE8K2IxIjIGAAbCmUKk8J8XjDG+FYYzgsWUDDmHKZMmcJdd90FwF133cWUKVOytF3Xrl0JDAzM8nH+/PNPatasSZ06dQDo2bMnP/zwQ9r6zp07A3DFFVewbdu2LO/XFCyWK6ZgKMznBVXtrqpVVDVYVSNU9UNVraWq1VS1ift40KP+K6p6qarWVdWvPcrnqmodd53XUCljCprCfF4wxvhWGM4LNuTBmLM4ePBg2s2ciJCcnIyI0KBBg3NuW6xYsRxtS0hICACBgYEkJSXl6L6NMVln5wVjTEZ2XjDGZFRYzgvWQ8GYs/j888+59957+fvvv9m2bRs7duygZs2abN++nWPHjqXVK1GiRLrls8msbt26ddm2bRubNm0CYOLEifzzn//MmRdijMkxdl4wxmRk5wVjTEaF5bxQ6AMKVzw1wethTKopU6Zw++23pyu744472LNnD3/88QdNmjRh2rRp3HzzzXzxxRc0adKEJUuWnHWfd911F8OHD6dp06Zs3rw5rTw0NJSPP/6Yrl270qhRIwICAnjwwQfPsidjjD/YecEYk5GdF4wxGRWW84KcmdnJf6KionTlypV+mTbSpqo0AOvXr6d+/fr+bkaO8fV6RGSVqkb5qUnZlnpeyOhinTYyt4KZ+eG1FVR2Xsh/MjsvFDQicl6zPOSHa7bCzs4L+c/Fcl64UDZtpP8U9vNCoe+hYIwxxhhjjDEm60aOHEmDBg1o2LAh3bt35+TJk/To0YO6devSsGFDevfuzenTpwGYPn06DRo0oFWrVhw4cACAzZs3061bN3++BJNDLKBgjDHGGGOMMSZLdu7cyejRo1m5ciVr164lOTmZqVOn0qNHDzZs2MCaNWtISEhg7NixALz99tusWLGCBx54gE8++QSAF198kWHDhvnzZZgcYrM8nKfMuhVZ9yFjjDHGGGPMxSwpKYmEhASCg4OJj48nPDyc9u3bp61v3rw5sbGxAAQEBJCYmEh8fDzBwcEsWbKEypUrU7t2bX813+SgLAUURGQbcAxIBpJUNUpEygLTgBrANuBOVT0kIgKMAjoC8UAvVf0155tujDHGGGOMMSYvVa1alUGDBhEZGUlYWBjt27dPF0w4ffo0EydOZNSoUQA899xztG3blvDwcCZNmkTXrl2ZOnWqv5pvclh2hjxcq6pNPJIxPAssVNXawEJ3GeBGoLb76Ae8m1ONNcYYY4wxxhjjP4cOHWLWrFls3bqVXbt2ceLECSZNmpS2/uGHH6Z169a0atUKgHbt2rFq1SrmzJnDrFmz6NixIxs3bqRLly707duX+Ph4f70UkwMuJIfCrcB49/l44DaP8gnqWAaUFpEqF3AcY4wxxhhjjDH5wIIFC6hZsyYVKlQgODiYzp0789NPPwEQHR1NXFwcb775ptd28fHxjBs3jv79+zNkyBDGjx9Py5YtmTx5cl6/BJODsppDQYH5IqLAe6r6PlBJVXe76/cAldznVYEdHtvGumW7PcoQkX44PRiIjIw8v9a7LJ+ByWk5PYVfVv4XRYQnnniCESNGAPDGG29w/Phx/v3vf+doW4wx58fOC8aYjKpFVid2x/Yc219EtUh2bP/7rHXsvGD8LTIykmXLlhEfH09YWBgLFy4kKiqKsWPHMm/ePBYuXEhAgPf31sOHD2fgwIEEBweTkJCAiBAQEHDR9VAobNcLWQ0otFTVnSJSEfhWRDZ4rlRVdYMNWeYGJd4HZ/7Y7GxrzMUoJCSEGTNm8Nxzz1G+fHl/N8cYkw/YecGY/C12x3benP9nju3vifZ1z1nHzgvG31q0aEGXLl1o1qwZQUFBNG3alH79+lGsWDGqV6/O1VdfDUDnzp156aWXANi1axfLly9nyJAhAAwYMIArr7yS0qVLM3PmTH+9lIuGP88LWRryoKo73Z/7gC+A5sDe1KEM7s99bvWdQDWPzSPcMmPMWQQFBdGvXz9GjhzptW7btm1cd911NG7cmOuvv57t23Pu2xBjTP5l5wVjTEZ2XjD5QXR0NBs2bGDt2rVMnDiRkJAQkpKS2Lx5MzExMcTExKQFEwDCw8P56quv0pa7du3KunXrWLp0KRUqVPDHS7io+PO8cM6AgogUE5ESqc+B9sBaYDbQ063WE5jlPp8N3CeOq4AjHkMjjDFn0b9/fyZPnsyRI0fSlQ8YMICePXuyevVqevTowcCBA/3UQmNMXrPzgjEmIzsvGGMy8td5ISs9FCoBP4rI78By4CtV/QZ4DWgnIn8Bbd1lgLnAFmAT8AHwcI622JiLWMmSJbnvvvsYPXp0uvKff/6Zu+++G4B7772XH3/8MU/aIyIficg+EVnrY92TIqIiUt5dFhEZLSKbRGS1iDTzqNtTRP5yHz0z7ssYk7n8dl4wxvifnReMMRn567xwzoCCqm5R1cvdRwNVfcUtP6Cq16tqbVVtq6oH3XJV1f6qeqmqNlLVlTnaYmMuco899hgffvghJ06c8HdTAMYBHTIWikg1nN5Knn2mfE4ZKyJlgSFAC5zhUkNEpEyuttqYi0w+Oy8YY/IBOy8YYzLyx3nhQqaNNMbkgrJly3LnnXfy4YcfppX94x//YOrUqQBMnjw5bV7f3KaqPwAHfawaCTyNMwNMqsymjL0B+FZVD6rqIeBbfAQpjDGZy0/nBWNM/pCfzgu+ejSKyHAR2eD2WvxCREp7rHvO7dH4p4jc4FHewS3bJCLP5knjjbmI+OO8kNVZHowpVPw95eiTTz7JO++8k7b89ttvc//99zN8+HAqVKjAxx9/7Le2icitwE5V/V1EPFdlNmVsZuW+9p1j08kak9PsvGCMySiiWmSWZmbIzv6yIx+dF8YB7wCe8+V9Czynqkki8l/gOeAZEbkMuAtoAIQDC0SkjrvN/4B2ONcKK0Rktqr+kUevwZgcUdiuFyygYEw+cfz48bTnlSpVSjcnb/Xq1Vm0aJE/mpWOiBQFnscZ7pDjbDpZY9IrCOcFYwqzHdv/zvNj5sfzgqr+ICI1MpTN91hcBnRxn98KTFXVRGCriGzCGRIJsElVtwCIyFS3rgUU8rkrnppw7koe/H3DfTHy53nBhjwYY7LjUqAm8LuIbMOZFvZXEalM5lPG2lSyxhhjTOHWG/jafZ4jPRpFZKWIrIyLi8uF5hpjssoCCsaYLFPVNapaUVVrqGoNnA/7Zqq6h8ynjJ0HtBeRMm4yxvZumTHGGGMuciLyApAETM6pfarq+6oapapRFSpUyKndGmPOgw15MMZkSkSmAG2A8iISCwxR1Q8zqT4X6IgzZWw8cD+Aqh4UkZeBFW69oamzwhhjjDHm4iUivYBOwPWqmjqU8Ww9F61HozEFjAUUjDGZUtXu51hfw+O5Av0zqfcR8FGONs4YY4wx+ZaIdMCZEeqfqhrvsWo28ImIvImTlLE2sBwQoLaI1MQJJNwF3J23rTbGZJcFFIwxxhhjjDHnzVePRpxZHUKAb91ZoZap6oOquk5EPsVJtpgE9FfVZHc/j+AMiwwEPlLVdXn+Yowx2WIBBWOMMcYYY8x5y6RHY2ZDJFHVV4BXfJTPxRlCaYwpICygYIwP24c2ytH9Rb605qzrVZVWrVrxwgsvcOONNwLw2Wef8eGHH/LNN9/kaFuMMefHzgvGmIxqREbw946cG+ZfvVpVtm2PzXS9nReMyf8K2/WCBRSMyQdEhDFjxtC1a1euvfZakpKSeP755+3iwJhCLL+eF0TkI5wka/tUtaFbVhaYBtQAtgF3quohcfo5j8JJ2BoP9FLVX91tegIvursdpqrj8/J1GJMT/t6xE130nxzbn1z3/NnX59PzgjHGf/x9XrBpI43JJxo2bMjNN9/Mf//7X4YOHco999zDK6+8QvPmzWnatCmzZs0CYN26dTRv3pwmTZrQuHFj/vrrLz+33BiTW/LpeWEc0CFD2bPAQlWtDSx0lwFuxEm4VhvoB7wLaQGIIUALoDkwxJ1W1hhzDvn0vGCM8SN/nhesh4Ix+ciQIUNo1qwZRYoUoVOnTlx33XV89NFHHD58mObNm9O2bVvGjBnDo48+So8ePTh16hTJycn+brYxJhflt/OCqv4gIjUyFN+Kk5ANYDywGHjGLZ/gzgKzTERKi0gVt+63qVPIisi3OEGKKbnWcGMuIvntvGCM8T9/nRcsoGBMPlKsWDG6detG8eLF+fTTT5kzZw5vvPEGACdPnmT79u1cffXVvPLKK8TGxtK5c2dq167t51YbY3JTATkvVFLV3e7zPUAl93lVYIdHvVi3LLNyLyLSD6d3A5GRkTnYZGMKrgJyXjDG5CF/nRcsoGBMPhMQEEBAQACqyvTp06lbt2669fXr16dFixZ89dVXdOzYkffee4/rrrvOT601xuSFgnReUFUVEc3B/b0PvA8QFRWVY/s1pqArSOcFY0ze8Md5wXIoGJNP3XDDDbz99ts4PYXht99+A2DLli1ccsklDBw4kFtvvZXVq1f7s5nGmDyUj88Le92hDLg/97nlO4FqHvUi3LLMyo0x2ZSPzwvGGD/Jy/OC9VAwxodzTc+SFwYPHsxjjz1G48aNSUlJoWbNmnz55Zd8+umnTJw4keDgYCpXrszzz589I7QxJmfYeeGsZgM9gdfcn7M8yh8Rkak4CRiPqOpuEZkH/McjEWN74Lk8brMxF6x6tarnnJkhu/vLrnx8XjCmUCps1wsWUDAmn/n3v/+d9vy9997zWv/ss8/y7LPPepUbYy5e+em8ICJTcJIqlheRWJzZGl4DPhWRPsDfwJ1u9bk4U0Zuwpk28n4AVT0oIi8DK9x6Q1MTNBpTkGzbHuu3Y+en84IxJn/wx3nBAgrGGGOMyTJV7Z7Jqut91FWgfyb7+Qj4KAebZowxxpg8ZjkUjDHGGGOMMcYYk20WUDDGlZq0pKC7WF6HMfnBxfJ+ulhehzH5wcXyfrpYXocx+cHF8n46n9dhAQVjgNDQUA4cOFDgTwaqyoEDBwgNDfV3U4wp8Oy8YIzJyM4LxpiMCvt5wXIoGANEREQQGxtLXFycv5tywUJDQ4mIiPB3M4wp8Oy8YIzJyM4LxpiMCvt5wQIKxgDBwcHUrFnT380wxuQjdl4wxmRk5wVjTEaF/bxgQx6MMcYYY4wxxhiTbRZQMMZkSkQ+EpF9IrLWo2y4iGwQkdUi8oWIlPZY95yIbBKRP0XkBo/yDm7ZJhGxSbGNMcYYY4y5CFhAwRhzNuOADhnKvgUaqmpjYCPwHICIXAbcBTRwt/k/EQkUkUDgf8CNwGVAd7euMcYYY4wxpgCzgIIxJlOq+gNwMEPZfFVNcheXAamZW24FpqpqoqpuBTYBzd3HJlXdoqqngKluXWOMMcYYY0wBZgEFY8yF6A187T6vCuzwWBfrlmVW7kVE+onIShFZeTFkyjXGGGOMMeZiZgEFY8x5EZEXgCRgck7tU1XfV9UoVY2qUKFCTu3WGGOMMcYYkwuyHFBwx0L/JiJfuss1ReQXN8naNBEp4paHuMub3PU1cqntxhg/EZFeQCegh6qqW7wTqOZRLcIty6zcGGOMMReBTJI4lxWRb0XkL/dnGbdcRGS0e6+wWkSaeWzT063/l4j09MdrMcZkT3Z6KDwKrPdY/i8wUlVrAYeAPm55H+CQWz7SrWeMuUiISAfgaeAWVY33WDUbuMsNKtYEagPLgRVAbTcIWQQncePsvG63McYYY3LNOLyTOD8LLFTV2sBCdxmcJM213Uc/4F1wAhDAEKAFTv6lIalBCGNM/pWlgIKIRAA3AWPdZQGuAz53q4wHbnOf3+ou466/3q1vjClgRGQK8DNQV0RiRaQP8A5QAvhWRGJEZAyAqq4DPgX+AL4B+qtqspvA8RFgHk5Q8lO3rjHGGODk6WROJaX4uxnGnDdfSZxJf0+Q8V5hgjqWAaVFpApwA/Ctqh5U1UM4s0plDFIYY/KZoCzWewvnG8kS7nI54LBHpnfPJGtpCdhUNUlEjrj193vuUET64UQliYyMPM/mG2Nyk6p291H84VnqvwK84qN8LjA3B5tmjDEFmqrye+wRYnYc5kjCaQIEalUsTsta5SkRGuzv5hmTEyqp6m73+R6gkvv8gpM4G2Pyj3P2UBCRTsA+VV2Vkwe25GvGGGOMKZQCg5mzejffb4zjSMJpAFIUNu49zpTlO9LKjLlYuPmW9JwVs8hmhTIm/8jKkIdrgFtEZBvO/PHXAaNwuiel9nDwTLKWloDNXV8KOJCDbTbGGGOMKZBUlXI3DmTr/hM+1yecTmbO6l0kpdgQCFPg7XWHMuD+3OeWX3ASZ/ti0pj845wBBVV9TlUjVLUGTjK1RaraA/gO6OJW6wnMcp/Pdpdx1y/yyAJvjDHGGFNoTf5lO8UbXHvWOgeOn2LdzqN51CJjco3nPUHGe4X73NkergKOuEMj5gHtRaSMm4yxvVtmjMnHsjPLQ0bPAE+IyCacHAmp46o/BMq55U9wJqOrMcYYY0yhteNgPP+Zu/7cFYGVfx+yXgqmwMgkifNrQDsR+Qto6y6Dk1NpC7AJ+AB4GEBVDwIv48wOtQIY6pYZY/KxrCZlBEBVFwOL3edbcKZ0yVjnJNA1B9pmjDHGGHPRePnLP4g/lexV3qhqKdbsPJKu7HhiEpv3naBu5RJe9Y3JbzJJ4gxwvY+6CvTPZD8fAR/lYNOMMbnsQnooGGOMMcaYLPhhYxzz/9jrVd4wvCTX1avIpRWKea37a9+xvGiaMcYYc94soGCMMcYYk4tOJ6cQPWedV3mxkEBa1i4PwOURpb3Wb9sfT2KSd48GY4wxJr+wgIIxxhhjTC4a/9M2Nsd5z+rQslZ5QoICAahaJoyiRQLTrU9WzXQ2CGOMMSY/sICCMcYYY0wuiTuWyKgFf3mVVykVSt1KZ/IjBIhQq2Jxr3rbD8bnavuMMcaYC2EBBWOMMcaYXPLq1+s5lpiUrkw1hTZ1KiAi6cprlPPOo7DjYAI2+7Yxxpj8ygIKxhhjjDG5YNmWA8z4dadX+fHf51GxZKhXedXSYQRIhrqJSRyOP51bTTTGGGMuiAUUjDHGGJMjRORxEVknImtFZIqIhIpITRH5RUQ2icg0ESni1g1xlze562v4ufk56nRyCoNnrvUqLxUWzOEfJvrcpkhQAJVLeQcaYg8l5Hj7jDHGmJxgAQVjjDHGXDARqQoMBKJUtSEQCNwF/BcYqaq1gENAH3eTPsAht3ykW++i8eGPW/lr33Gv8mc61CMl4Wim20WUKepVtvuoBRSMMcbkTxZQMMYYY0xOCQLCRCQIKArsBq4DPnfXjwduc5/f6i7jrr9eMiYVKKB2Hk7wmYjx8mqluevKamfdtoqPHgp7jpzMsbYZY4wxOckCCsYYY4y5YKq6E3gD2I4TSDgCrAIOq2pqVsJYoKr7vCqww902ya1fLuN+RaSfiKwUkZVxcXG5+yJyyJBZ60g4nZyuLEDgldsaEpAxSUIGlX3kVjgUf5qAEO+EjcYYY4y/WUDBGGOMMRdMRMrg9DqoCYQDxYAOF7pfVX1fVaNUNapChQoXurtcN2/dHhas3+tVft/VNWhYtdQ5tw8NDqRM0WCv8iLhdXOkfcYYY0xOsoCCMcYYY3JCW2Crqsap6mlgBnANUNodAgEQAaROe7ATqAbgri8FHMjbJues44lJ/Hv2Oq/yCiVCeKJ9nSzvx1dixiKVLr2gthljjDG5wQIKxphMichHIrJPRNZ6lJUVkW9F5C/3Zxm3XERktJuxfbWINPPYpqdb/y8R6emP12KMyXXbgatEpKibC+F64A/gO6CLW6cnMMt9Pttdxl2/SFU1D9ub496cv5HdPvIdDLn5MkqGevc6yEzFEj4CChVqXEjTjDHGmFxhAQVjzNmMw7vL8rPAQlWtDSx0lwFuBGq7j37Au+AEIIAhQAugOTAkNQhhjLl4qOovOMkVfwXW4FxjvA88AzwhIptwciR86G7yIVDOLX+CM+eSAmndriOM+2mrV/k/61TgpkZVsrWv8sWLeJUFV6xxvk0zxhhjck3QuasYYworVf3Bx9zwtwJt3OfjgcU4Nwy3AhPcbxiXiUhpEani1v1WVQ8CiMi3OEGKKbndfmNM3lLVITgBRE9bcIKJGeueBLrmRbvywvB5f5KSoX9FaHAAw25rSHYnryhXPMSrLLhsBCdPJxMaHHghzTTGGGNylPVQMMZkVyVV3e0+3wNUcp+nZWx3pWZzz6zcS0HM5m6MMcu3HmTxn97nrIHX16Za2aLZ3l9YcCDFQ9J/5yMBgWzad/y822iMMcbkBgsoGGPOm9sbIcfGPBe0bO7GGKOqDJ+3was8okwY/2p5yXnvt5yPYQ8b9hw77/0ZY4wxucECCsaY7NrrDmXA/bnPLU/L2O5KzeaeWbkxxhR4S/7az4pth7zKH29bhyJB53+ZVd7HsIcNu4+e9/6MMcaY3GABBWNMdnlmZs+Ysf0+d7aHq4Aj7tCIeUB7ESnjJmNs75YZY0yB9/FS70SMtSsW57amPkd2ZZmvxIzWQ8EYY0x+Y0kZjTGZEpEpOEkVy4tILE6ytdeAT0WkD/A3cKdbfS7QEdgExAP3A6jqQRF5GVjh1huamqDRGGMKsr8PnGDxRu/cCU+0q0NgQPYSMWbks4fCHuuhYIwxJn+xgIIxJlOq2j2TVdf7qKtA/0z28xHwUQ42zRhj/G7Ssr/RDFlkIsqE0b5B5Qved5miRQgQ0s0csf/4KeKOJVKhhHewwRhjjPEHG/JgjDHGGJNNCaeS+XRlrFf5vVdVv+DeCQCBAULZYr6GPVgvBWOMMfmHBRSMMcYYY7Lpy9W7OJJwOl1ZSFAAd0ZVy2SL7PM17OFPy6NgChgReVxE1onIWhGZIiKhIlJTRH4RkU0iMk1Eirh1Q9zlTe76Gn5uvjHmHCygYIwxxhiTTXNW7/Yqu/nycMr46FVwvnz1UNiy/0SO7d+Y3CYiVYGBQJSqNgQCgbuA/wIjVbUWcAjo427SBzjklo906xlj8jELKBhjjDHGZMPBE6dYumm/V3n35jnXOwGcPAoZbYk7nqPHMCYPBAFhIhIEFAV2A9cBn7vrxwO3uc9vdZdx118vIhc+hsgYk2ssoGCMMcYYkw3z1u0hOSV9NsaqpcNoFlkmR4/jq4fC5jjroWAKDlXdCbwBbMcJJBwBVgGHVTXJrRYLpM6zWhXY4W6b5NYvl3G/ItJPRFaKyMq4OO+ZVowxeccCCsYYY4wx2fDl6l1eZTc1rkJOf5FaKiyYjLuMO5bI0ZOnfW9gTD4jImVweh3UBMKBYkCHC92vqr6vqlGqGlWhQoUL3Z0x5gJYQMEYY4wxJov2H0/k580HvMpvalQlx48VGCCUCg32Kt9ivRRMwdEW2Kqqcap6GpgBXAOUdodAAEQAO93nO4FqAO76UoD3G84Yk29YQMEYY4wxJovmrdtDhtEOVCsbRuOIUrlyPF9JHi2PgilAtgNXiUhRNxfC9cAfwHdAF7dOT2CW+3y2u4y7fpGqZnjHGWPyk3MGFNypXZaLyO/ulC/RbrlN92KMMcaYQuW7Dfu8ym5qFJ7jwx1SlSnq3UNhswUUTAGhqr/gJFf8FViDc+/xPvAM8ISIbMLJkfChu8mHQDm3/Ang2TxvtDEmW4LOXYVE4DpVPS4iwcCPIvI1zpt8pKpOFZExONO8vIvHdC8ikjotTLdcar8xxhhjTJ5ITErmJx/DHdo3qJRrx/TdQ8GGPJiCQ1WHAEMyFG8BmvuoexLomhftMsbkjHP2UFBHaig82H0oNt2LMcYYYwqRFVsPEX8qOV1ZmaLBXB5ROteO6WvqSOuhYIwxJr/IUg4FEQkUkRhgH/AtsBmb7sUYY4wxhcjiP72HO7SqXYHAgNz73qSsj4DCtv3xXtNWGmOMMf6QpYCCqiarahOcLKzNgXoXeuCLebqXP//8kyZNmqQ9SpYsyVtvvcXvv//O1VdfTaNGjbj55ps5evQoAEuXLqVx48ZERUXx119/AXD48GHat29PSkqKP1+KMcYYY1yLN3p/AdKmbu5ew4QVCSQ0KP3l2qnkFGIPxefqcY0xxpisyNYsD6p6GCcr69XYdC+Zqlu3LjExMcTExLBq1SqKFi3K7bffzr/+9S9ee+011qxZw+23387w4cMBGDFiBHPnzuWtt95izJgxAAwbNoznn3+egACbiMMYY4zxt9hD8Wza5z3UoHWd3P9SxFceBRv2YIwxJj/IyiwPFUSktPs8DGgHrMeme8mShQsXcumll1K9enU2btxI69atAWjXrh3Tp08HIDg4mPj4eOLj4wkODmbz5s3s2LGDNm3a+LHlxhhjjEn1vY/eCY0jSlG+eEiuH9tXHgVLzGiMMSY/yMosD1WA8SISiBOA+FRVvxSRP4CpIjIM+I30071MdKd7OQjclQvtLjCmTp1K9+7dAWjQoAGzZs3itttu47PPPmPHjh0APPfcc9x3332EhYUxceJEBg0axLBhw/zZbGOMMcZ4WLppv1dZmzzonQBQpphNHWmMMSZ/ysosD6tVtamqNlbVhqo61C3foqrNVbWWqnZV1US3/KS7XMtdvyW3X0R+derUKWbPnk3Xrs7sNx999BH/93//xxVXXMGxY8coUsT5xqFJkyYsW7aM7777ji1btlClShVUlW7dunHPPfewd+9ef74MY4wxplBLSVF+9jFdZMvaeRNQ8JWYcbP1UDDGGJMP2AD9XPT111/TrFkzKlVy5qeuV68e8+fPZ9WqVXTv3p1LL700XX1VZdiwYQwePJjo6Ghef/11+vbty+jRo3O9rSNHjqRBgwY0bNiQ7t27c/LkSXr16kXNmjXTkkvGxMQAMH36dBo0aECrVq04cMC5wNq8eTPdunXL9XYaY4wxeW3DnmMcij+driw0OIAm1UrnyfF9D3mwHgrGGGP8zwIKuWjKlClpwx0A9u1zpptKSUlh2LBhPPjgg+nqT5gwgY4dO1K2bFni4+MJCAggICCA+PjczeS8c+dORo8ezcqVK1m7di3JyclMnToVgOHDh6clmGzSpAkAb7/9NitWrOCBBx7gk08+AeDFF1+0YRqFjIg8LiLrRGStiEwRkVARqSkiv4jIJhGZJiJF3Loh7vImd30NPzffGGOy7KfN3sMdrqxRliJBeXMZVTIsGE1OSle2//gpjmQIchhjjDF5zQIKueTEiRN8++23dO7cOa1sypQp1KlTh3r16hEeHs7999+fti4+Pp5x48bRv39/AJ544gk6duzIY4895hV4yA1JSUkkJCSQlJREfHw84eHhmdYNCAggMTExLYnkkiVLqFy5MrVr1871dpr8QUSqAgOBKFVtCATi5Ev5LzBSVWsBh4A+7iZ9gENu+Ui3njHmIiMipUXkcxHZICLrReRqESkrIt+KyF/uzzJuXRGR0W6gcbWINPN3+zPja7jDPy4tn2fHDwwQkg7v9irfvN96KRhjjPEvCyjkkmLFinHgwAFKlSqVVvboo4+yceNGNm7cyGuvvYaIpK0rWrQo3333HcHBTuKlVq1asWbNGlatWkXdunVzta1Vq1Zl0KBBREZGUqVKFUqVKkX79u0BeOGFF2jcuDGPP/44iYmJgJNEsm3btsyZM4fu3bvz8ssvM3jw4Fxto8mXgoAwd3rYosBu4Drgc3f9eOA29/mt7jLu+uvF8w1gjLlYjAK+UdV6wOU4s0I9CyxU1drAQncZ4EagtvvoB7yb9809t6TkFH7ZetCr/B+XlgOgWmR1RCRbj/Nx+kCsV9lmH9NYGmOMMXkpK7M8mIvcoUOHmDVrFlu3bqV06dJ07dqVSZMm8eqrr1K5cmVOnTpFv379+O9//8tLL71Eu3btaNeuHXBmmMbGjRt54403KFOmDKNGjaJo0aJ+flUmN6nqThF5A9gOJADzgVXAYVVN7ZcbC1R1n1cFdrjbJonIEaAckK4fsYj0w7mxIDIyMrdfhjEmB4lIKaA10AtAVU8Bp0TkVqCNW208sBh4BifQOMGdWnqZ27uhiqp6fxXvR2t2HuF4YvrhBiVCgmgQXhKA2B3beXP+n9na5xPts/9FwemD3gGFLfstMaMxxhj/sh4KhgULFlCzZk0qVKhAcHAwnTt35qeffqJKlSqICCEhIdx///0sX7483XaewzSGDBnC+PHjadmyJZMnT/bTKzF5xe2yfCtQEwgHigEdLnS/qvq+qkapalSFCnmTPd0Yk2NqAnHAxyLym4iMFZFiQCWPIMEeoJL7PC3Q6PIMQuYbP/kY7tDikrIEBebtJdTpgzu9yqyHgjHGGH+zgIIhMjKSZcuWER8fj6qycOFC6tevz+7dzvWfqjJz5kwaNmyYbrvhw4czcOBAgoODSUhIQETyJImkyRfaAltVNU5VTwMzgGuA0u4QCIAIIPUKeCdQDcBdXwrwvko3xhRkQUAz4F1VbQqc4MzwBgDc3gianZ2KSD8RWSkiK+Pi4nKssVm1bIv3qeqqS8rleTt8DnmwmR6MMcb4mQ15MLRo0YIuXbrQrFkzgoKCaNq0Kf369ePGG28kLi4OVaVJkyaMGTMmbZtdu3axfPlyhgwZAsCAAQO48sorKV26NDNnzvTTKzF5aDtwlYgUxRnycD2wEvgO6AJMBXoCs9z6s93ln931i9wbC2PMxSMWiFXVX9zlz3ECCntThzKISBVgn7s+LdDo8gxCplHV94H3AaKiovL0vHEqKYWV2w55ledlQsZUST6GPPx9IJ7TySkE53FvCWOMMSaVBRQMANHR0URHR6crW7RoUab1w8PD+eqrr9KWu3btSteuXXOtfSZ/UdVfRORz4FcgCfgN54L/K2CqiAxzyz50N/kQmCgim4CDODNCGGMuIqq6R0R2iEhdVf0TJ9D4h/voCbyGd6DxERGZCrQAjuS//AmHSTidnK6sdNFg6lUukedtSTl5nPLFi7D/+Km0sqQUZfvBeC6tUDzP22OMMcaADXnIl0aOHEmDBg1o2LAh3bt35+TJk7Rq1YomTZrQpEkTwsPDue222wCYPn06DRo0oFWrVhw44HTL3Lx5M926dfPjKzCFgaoOUdV6qtpQVe9V1URV3aKqzVW1lqp2VdVEt+5Jd7mWu36Lv9tvjMkVA4DJIrIaaAL8ByeQ0E5E/sIZLvWaW3cusAXYBHwAPJznrT0HX9NFtqhZloAA/0xSc4mPwMGWOEvMaIwxxn8soJDP7Ny5k9GjR7Ny5UrWrl1LcnIyU6dOZcmSJcTExBATE8PVV19N586dAXj77bdZsWIFDzzwAJ988gkAL774IsOGDfPnyzDGGFMIqWqMm1i1sarepqqHVPWAql6vqrVVta2qHnTrqqr2V9VLVbWRqq70Z9t9Tf/48vvTvOpNGTX0gqeAPF++eiJYHgVjjDH+ZAGFfCgpKYmEhASSkpKIj48nPDw8bd3Ro0dZtGhRWg+FgIAAEhMTiY+P54cffqBmzZp8++23vPTSS5w8eZIePXpQt25dGjZsSO/evTl9+jRgPRuMMcYYT6nTP6Y+Xv9mPSUuaeZVb8ALr6Srl5curVDMq8xmejDGGONPFlDIZ6pWrcqgQYOIjIykSpUqlCpVivbt26etnzlzJtdffz0lSzrzXz/33HO0bduWTz/9lOXLl3PJJZewcePGtJ4NPXr0YMOGDaxZs4aEhATGjh0LWM8GY4wx5mz2Hk0kKSV9DsjQ4ADKFSvipxZZDwVjjDH5jwUU8plDhw4xa9Ystm7dyq5duzhx4gSTJk1KWz9lyhS6d++ettyuXTtWrVrF+PHjOX78ONdddx1//PEHS5YsYdq0abRp0yatW2bz5s2JjXWyRHv2bAgODmbJkiVUrlyZ2rVr5/lrNsYYY/Kb2EPeUyBHlC6a58McPPkOKJzAJs0xxhjjLxZQyGcWLFhAzZo1qVChAsHBwXTu3JmffvoJgP3797N8+XJuuukmr+3KlClD2bJlefXVV7nuuuto3bo1d911F5MnTwbg9OnTTJw4kQ4dOgBnejbMmTOH7t278/LLLzN48OC8e6HGGGNMPhZ7KMGrLKJMmB9ackbVMmEUCUp/6XYk4TQHTpzKZAtjjDEmd1lAIZ+JjIxk2bJlxMfHo6osXLiQ+vXrA/D555/TqVMnQkNDvbYbOnQooaGhbN26lebNmxMfH8/PP/9MfLzzDcvDDz9M69atadWqFXCmZ8OcOXOYNWsWHTt2ZOPGjXTp0oW+ffumbWeMMcYUNkkpKew+ctKr3N8BhcAA4ZLy3nkUbKYHk5+JSGkR+VxENojIehG5WkTKisi3IvKX+7OMW1dEZLSIbBKR1SLincjEGJOvWEAhn2nRogVdunShWbNmNGrUiJSUFPr16wfA1KlT0w13SLVr1y7mz59P8+bNqVChAo8++ii//vorM2fO5O677yY6Opq4uDjefPNNr23j4+MZN24c/fv3Z8iQIYwfP56WLVum9WzICl/TXFoySGOMMQXV3iOJJGfInxAWHEhZP+ZPSOVr2MNf+475oSXGZNko4BtVrQdcDqwHngUWqmptYKG7DHAjUNt99APezfvmGmOywwIK+VB0dDQbNmxg7dq1TJw4kZCQEAAWL16cNmTBU3h4OO+++25az4YuXbrQtm1bXnjhBWbNmsW8efOYMmUKAQHef+7hw4czcOBAgoODSUhIQEQICAjIcg+FzKa5tGSQxhhjCiqf+RPKhPk1f0KqSyt6BxQ27rGAgsmfRKQU0Br4EEBVT6nqYeBWYLxbbTxwm/v8VmCCO63sMqC0iFTJ00YbY7IlyN8NKIyueGqCz/JVw+8773169mwICgqiadOm9OvXj2LFilG9enWuvvpqADp37sxLL70EOD0bli9fzpAhQwAYMGAAV155JaVLl2bmzJlZPnbqNJfBwcFp01x6zkxhySCNMcYUJL7yJ1T183CHVPUql/Aq+3OvBRRMvlUTiAM+FpHLgVXAo0AlVd3t1tkDVHKfVwV2eGwf65bt9ihDRPrh9GAgMjIy1xpvjDk3CyhcRKKjo4mOjk5XlpSUlGn98PBwvvrqq7Tlrl270rVr12wd03Oay7CwMNq3b58umJCaDHLUqFHAmWSQ4eHhTJo0ia5duzJ16tRsHdMYY4zJLUnJKew+6p0/oVqZon5ojbc6lXwEFPYcQ1XzRQ8KYzIIApoBA1T1FxEZxZnhDQCoqopItqYqUdX3gfcBoqKibJoTY/zIhjyYC3KuaS4tGaQxxpiCZM/Rk175E4oWCaRM0WA/tSi9GuWKes30cCj+NHHHE/3UImPOKhaIVdVf3OXPcQIMe1OHMrg/97nrdwLVPLaPcMuMMfmUBRTMBTnbNJe5nQzSGGOMyWk7DvqYLrJ0/sifABAUGEAtH4kZN+457ofWGHN2qroH2CEidd2i64E/gNlAT7esJzDLfT4buM+d7eEq4IjH0AhjTD5kQx7MWZ0r34PnNJdhYWEsXLiQqKgoxo4dy7x581i4cGGuJIM0xhhjcsPfB72nYMwv+RNS1a1cgj92H01XtmHPUVrWLu+nFhlzVgOAySJSBNgC3I/zpeanItIH+Bu40607F+gIbALi3brGmHzMAgrmgvgzGaQxxhiTk06eTmbvUe+hA9XLFfNDazLnK4/CRkvMaPIpVY0Bonysut5HXQX653abjDE5xwIK5oL5IxmkMcYYk9O2H/TuJVcqLJhSYfkjf0IqnzM92NSRxhhj/MByKBhjjDHGAH8f8A4oVC+XP2Z38FTHR0Bh497jpKRYsntjjDF5ywIKxhhjjDH47qFQvWz+CyiElwqlREj6TqYJp5OJPeSdUNIYY4zJTRZQMMacFxEpLSKfi8gGEVkvIleLSFkR+VZE/nJ/lnHrioiMFpFNIrJaRJr5u/3GGOMpuFw1jiemH64XIBBRJv8FFETEZy+F9XuO+qhtjDHG5B4LKBhjztco4BtVrQdcDqwHngUWqmptYKG7DHAjUNt99APezfvmGmNM5kIvucKrrEqpMIoE5c9Lpbo+Agprdx7xQ0uMMcYUZvnzU9IYk6+JSCmgNfAhgKqeUtXDwK3AeLfaeOA29/mtwAR1LANKi0iVPG20McacRdFaLbzKIvNh/oRUjaqW8ir7PdYCCsYYY/LWOQMKIlJNRL4TkT9EZJ2IPOqWW9dmYwqvmkAc8LGI/CYiY0WkGFBJVXe7dfYAldznVYEdHtvHumXpiEg/EVkpIivj4uJysfnGGHPGwROnCIm4zKv8kvL5a7pIT5dHlPYqWx17GGfWPWOMMSZvZKWHQhLwpKpeBlwF9BeRy7CuzcYUZkFAM+BdVW0KnODMOQBIm0s6W1e2qvq+qkapalSFChVyrLHGGHM2izbsQwIC05WVDA2iXLEifmrRudWpVJzQ4PSXcYfjT/tMLGmMMcbklqBzVXC/bdztPj8mIutxvlm8FWjjVhsPLAaewaNrM7DMTdxWxeNbS3Oernhqgs/yVcPvy+OWGEMsEKuqv7jLn+MEFPamvt/dIQ373PU7gWoe20e4ZcYY43fz1+3xKru0QnFExA+tyZqgwAAahpdi5d+H0pX/HnuE6uXyb88KY4wxF5dzBhQ8iUgNoCnwC9nv2pwuoCAi/XB6MBAZGZnddptssmCEyUmqukdEdohIXVX9E7ge+MN99ARec3/OcjeZDTwiIlOBFsARCzIaY/KDk6eTWfLXfq/ySyrk/5vyxhGlvQMKOw5zy+XhfmqRMcaYwibLSRlFpDgwHXhMVdPNS2Rdm835GDlyJA0aNKBhw4Z0796dkydPpq0bOHAgxYsXT1t+++23adiwIR07duTUqVMA/Pjjjzz++OMXfMwePXpQt25dGjZsSO/evTl9+jQA06dPp0GDBrRq1YoDBw4AsHnzZrp163ahL/1iMQCYLCKrgSbAf3ACCe1E5C+grbsMMBfYAmwCPgAezvPWGmOMDz/+tZ+E08npykKDAggvFeanFmXd5dW8EzOujj2c9w0xxhhTaGUpoCAiwTjBhMmqOsMt3puapd26Npvs2rlzJ6NHj2blypWsXbuW5ORkpk6dCsDKlSs5dCj9Ny6TJ09m9erV/OMf/2DevHmoKi+//DKDBw++4GP26NGDDRs2sGbNGhISEhg7dizgBDFWrFjBAw88wCeffALAiy++yLBhw3Lot1CwqWqMGxRsrKq3qeohVT2gqteram1VbauqB926qqr9VfVSVW2kqiv93X5jjAH4ao13Z6ma5YsREJB/hzuk8pWYcc3OIyQlp+R9Y4wxxhRKWZnlQXCmhluvqm96rJqN06UZvLs23+fO9nAV1rXZZCIpKYmEhASSkpKIj48nPDyc5ORknnrqKV5//fV0dVWV06dPEx8fT3BwMJMmTeLGG2+kbNmyF3zMjh07IiKICM2bNyc2NhaAgIAAEhMT0465ZMkSKleuTO3atXPsd2CMMcZ/Ek4lM89X/oSKxX3Uzn+qlytKqbDgdGUnT6fw177jfmqRMcaYwiYrPRSuAe4FrhORGPfREevabC5A1apVGTRoEJGRkVSpUoVSpUrRvn173nnnHW655RaqVKmSrv4jjzzCVVddxfbt27nmmmv4+OOP6d+/f44cM9Xp06eZOHEiHTp0AOC5556jbdu2zJkzh+7du2e7R4QxxhRGIhLoTif7pbtcU0R+caeTniYiRdzyEHd5k7u+Rl63deGGvcSfSj/cISQogOrliuZ1U86LiNA4wnvYw6oMeRWMMcaY3JKVWR5+BDLr93e9j/oKZO9Oz1yUzpYI8tChQ8yaNYutW7dSunRpunbtyoQJE/jss89YvHix1zb33nsv9957LwBDhw5l4MCBfP3110yYMIFq1aoxYsQIAgLOHh/zdcxJkyZxzz33APDwww/TunVrWrVqBUC7du1o164dABMmTKBjx45s3LiRN954gzJlyjBq1CiKFi0YF53GGJOHHgXWAyXd5f8CI1V1qoiMAfrgTCndBzikqrVE5C63Xp4mqZkds8ur7NIKxQk6x+dJftIssoxXUsllWw5wz1XV/dQiY4wxhUnB+cQ0F5UFCxZQs2ZNKlSoQHBwMJ07d2bIkCFs2rSJWrVqUaNGDeLj46lVq1a67Xbt2sXy5cu57bbbGDFiBNOmTaN06dIsXLjwvI75008/ARAdHU1cXBxvvvmm13bx8fGMGzeO/v37M2TIEMaPH0/Lli2ZPHlyzvwyjDHmIiEiEcBNwFh3WYDrcKaWBWea6dvc57e6y7jrr5c8nKfxSMJpFv8Z51Vet3KJvGpCjrjqknJeZcu2HMT5fscYY4zJXRZQMH4RGRnJsmXLiI+PR1VZuHAhTzzxBHv27GHbtm1s27aNokWLsmnTpnTbDR48mKFDhwKQkJCAiBAQEEB8fPx5HbN+/fqMHTuWefPmMWXKFJ+9HIYPH87AgQMJDg7O9jGNMaaQeQt4GkjNClgOOKyqSe5y6lTS4DHNtLv+iFs/HRHpJyIrRWRlXJx3AOB8fb1mN6cyJC8sWiSQiDL5f3YHT00jS1MkKP1n1/7jiWyOO+GnFhljjClMLKBg/KJFixZ06dKFZs2a0ahRI1JSUujXr99Zt/ntt98AaNasGQB33303jRo1YunSpWl5D87nmA8++CB79+7l6quvpkmTJmkBC0jfIwJgwIABXHnllYwZM4a77777PF+9McZcfESkE7BPVVfl5H5za5rpz1bFepXVqViCgLzrJJEjQoMDaVqttFf5kr9yLvhijDHGZOacORSMyS3R0dFER0dnuv748fRZqps2bcqHH36YtvzYY4/x2GOPXfAxk5KSMqkN4eHhfPXVV2nLXbt2pWvXrtk6pjHGFBLXALe4iZtDcXIojAJKi0iQ2wvBcyrp1GmmY0UkCCgFHMiLhm7ad9xn4sK6VQrWcIdU/7i0PL9sPZiubPGfcdx/TU0/tcgYY0xhYT0UTIE0cuRIGjRoQMOGDenevTsnT57knXfeoVatWogI+/efSVA1ffp0GjRoQKtWrThwwLlW3bx5M9265WnuL2OMuaip6nOqGqGqNYC7gEWq2gP4DujiVss4zXTq9NNd3Pp5MvD/s1U7vMpO7dtKpRIheXH4HHdtPe+eGz9vOUD8qcwD5sYYY0xOsICCKXB27tzJ6NGjWblyJWvXriU5OZmpU6dyzTXXsGDBAqpXT5/Z+u2332bFihU88MADfPLJJwC8+OKLDBs2zB/NN8aYwuYZ4AkR2YSTIyG1q9mHQDm3/Ang2bxozOnkFKav2ulVfnzNt+RhTsgc1TC8FOWLpw+GnEpK4ccMsz8YY4wxOc0CCqZASkpKIiEhgaSkJOLj4wkPD6dp06bUqFHDq25AQACJiYnEx8cTHBzMkiVLqFy5MrVr1877hhtjTCGgqotVtZP7fIuqNlfVWqraVVUT3fKT7nItd/2WvGjb4j/j2H88MV1ZcKBwYt3ivDh8rggIENrU9e6l8NWa3X5ojTHeRCRQRH4TkS/d5Zoi8ouIbBKRaSJSxC0PcZc3uetr+LXhxphzsoCCKXCqVq3KoEGDiIyMpEqVKpQqVYr27dtnWv+5556jbdu2zJkzh+7du/Pyyy8zePDgPGyxMcbXMKUePXpQt25dGjZsSO/evTl9+jRgw5TMhasWWR0R8fno8eLbXvUPr1tCSsJRP7Q053RoUNmrbMEfezl5OtkPrTHGy6PAeo/l/wIjVbUWcAjo45b3AQ655SPdesaYfMwCCqbAOXToELNmzWLr1q3s2rWLEydOMGnSpEzrt2vXjlWrVjFnzhxmzZpFx44d2bhxI126dKFv3742/aMxuSyzYUo9evRgw4YNrFmzhoSEBMaOHQvYMCVz4WJ3bOfN+X96PV6es45ida/2qn93tzv90Mqc1apOeUqEps+1feJUMvPW7fFTi4xxiEgEcBMw1l0W4Drgc7fKeOA29/mt7jLu+uuloI5FMqaQsICCKXAWLFhAzZo1qVChAsHBwXTu3JmffvrpnNvFx8czbtw4+vfvz5AhQxg/fjwtW7Zk8uTJedBqYwo3X8OUOnbsmPatcfPmzYmNdabxs2FKJrds2HOMjGkfi4cEEVmuqH8alB0SkGmvCxEhNDiI3Su+9trsk1+2+6GxxqTzFvA0kOIulwMOuzO/AMQCVd3nVYEdAO76I279dESkn4isFJGVcXE2RWph46vXY6tWrWjSpAlNmjQhPDw8bcp36/WY+wrttJG9e/fmyy+/5FhKES67/z9p5ft+/ZZ69f5DYGAgN910E6+//jpLly7loYceokiRIkyZMoXatWuTdPIEW+f8j1pdBiFicZm8FBkZybJly4iPjycsLIyFCxcSFRV1zu2GDx/OwIEDCQ4OJiEhAREhICDAeigYk8s8hymFhYXRvn37dMOUTp8+zcSJExk1ahRwZphSeHg4kyZNomvXrkydOtVfzTcXCVVl/W7vYQ31q5QgoCB8AaopvDn/z7NW2Xkogc9/jU1X9svWg2zce4w6lQrmlJimYBORTsA+VV0lIm1yar+q+j7wPkBUVFSezA5j8ofUXo9//PEHYWFh3HnnnUydOpUlS5ak1bnjjju49dZbgTO9HmfMmMEnn3zCgAEDrNdjDiu0d8K9evXim2++SVd2bPt6jmz6ld9//51169YxaNAgAEaMGMHcuXN56623GDNmDAB7ls2mcoubLZjgBy1atKBLly40a9aMRo0akZKSQr9+/Rg9ejQRERHExsbSuHFj/vWvf6Vts2vXLpYvX54WrRwwYABXXnklY8aM4e677/bTKzGmcDjXMKWHH36Y1q1b06pVK8CGKZncsfdYIgdOnPIqv6xKST+0JneElw6lbNEiXuX/+26TH1pjDADXALeIyDZgKs5Qh1FAaRFJ/WIzAkidemUnUA3AXV8KOJCXDTb5n69ej6mOHj3KokWL0q75c7rXo6/eEarKCy+8QJ06dahfvz6jR48GCk/viEJ7N9y6dWvKli2briwuZiGVWnQiJMSZeqlixYoABAcHEx8fn/aPuHnzZk4dO0iJyPp53m7jiI6OZsOGDaxdu5aJEycSEhLCwIEDiY2NJSkpiV27dqWNxwYIDw/nq6++Slvu2rUr69atY+nSpVSo4J0Z2xiTc842TCk6Opq4uDjefPNNr+1smJLJSet3efdOCC8VSmkfN+AFlYjQKKKUV/mc33exce8xP7TIFHaq+pyqRqhqDeAuYJGq9gC+A7q41XoCs9zns91l3PWLVDMOVDKF2bmSs8+cOZPrr7+ekiWdYHFOJmfPLCfUuHHj2LFjBxs2bGD9+vXcddddQOHJCVVoAwq+JB7ay/HYP2nRogX//Oc/WbFiBeD8I9533328+uqrPPLII7zwwguEt7zDz601xpiCwXOYkqqycOFC6tevz9ixY5k3bx5TpkwhIMD748iGKZmckpScwp8+bqgvC794eiekahBekrDgwHRlKQpDZq3D7stMPvIM8ISIbMLJkfChW/4hUM4tfwJ41k/tM/nUuXo9Tpkyhe7du6ct53SvR1+9I959911eeumltGuZ1C+lC0tOqHwRUNi2bRsVK1bkj4+f91o3YsQIRIT9+/cD3l1Hevfuze/vPEzM6AfTttm19AvWjHk0LTHH3LlzAVi6dCmNGzcmKiqKv/76CwDVFP767HVUU9CUZJJPnmDZsmUMHz6cO++8E1WlSZMmLFu2jO+++44tW7ZQpUoVUNgy539s/WoMp08cyYPfkjHGFEyZDVN68MEH2bt3L1dffTVNmjRh6NChadvYMCWTk7bsP0FiUkq6sqAAoXbFiy+vQHBgAFdUL+NV/vOWA4z7aVveN8gYl6ouVtVO7vMtqtpcVWupaldVTXTLT7rLtdz1W/zbapPfnK3X4/79+1m+fDk33XST13Y50esxs94RmzdvZtq0aURFRXHjjTem3WcWlqnr80VAoVy5cl75DABOHT3A/PnziYyMTCvL2HWkV69eFK1ck+Ci6b9lqHjFDcTExBATE0PHjh0B37kQkuKPpeVCKFKiLKVrR6VlHA8ICEgLZICT0GnYsGHs27eP9eNfIGHfdso3bsO+X7/NVhAj6eSJtCCGMQWZiASKyG8i8qW7XFNEfhGRTSIyTUSKuOUh7vImd30Nvzbc5Dlfw5SSkpLYvHlz2rn6pZdeSqtvw5RMTvrDRzLG2hWLUyQoX1wG5bjLI0pRKizYq/yVr9bz3Z/7/NAiY4y//f3NWFb/75F0X+B269Yt7d6lRo0aNGnSBPB9/3L48GHat29PSop/718y6/UI8Pnnn9OpUydCQ0O9tsuJXo+Z9Y5ITEwkNDSUlStX0rdvX3r37g0UnpxQ+eKTtESJEl75DABiv/uE119/Hc/pZzN2HRERihQvgwSee8KKjLkQ/v77bzQlOS0XQqlazTi2fT0AGzdu5NSpU5QvXz5t+wkTJtCxY0ceeOABilWpBTjjFTUpEch6EMMSOpqLyKPAeo/l/wIjVbUWcAjo45b3AQ655SPdesYYk+uOn0xi+wHvi7b6F1EyxoyCAgNoU8c78JaUojwwYRWf/LLdhj8YU8iUbdCSWl0GpSubNm1a2r3LHXfcQefOnQHf9y/Dhg3j+eef9zlEMS9l1usRYOrUqemGO6TKqV6PmfWOiIiISPvd3X777axevTrddhd7Tqh8e0d7eNOvBJcow+WXX56u3FfXkQpN23ltH/fbQho3bkzv3r05dOhQ2rapuRDWr19Phw4dSDmdyJoxj7F/zfeUa9SaxCP7aNiwIXfddRfjx49PC2Z4/iO0bt2aCk2u49TR/ez4bjLlL78u09dhCR3NxUpEIoCbgLHusuBkb/7crTIeuM19fqu7jLv+epH8NU9b7969qVixIg0bNkwrK4iRe2NMen/uPUbGW+eSoUFElAnzS3vySo3yxTi6ao5X+ankFJ7/Yg3dP1jGmlgbsmlMYVGiWj0CQ4v5XKeqfPrpp2k3477uX3bs2EGbNm3ysMWZ89XrEWDx4sV06NDBq35O9XrMrHfEbbfdxnfffQfA999/T506ddJtd7HnhDr31/p+kHI6kT3L5lC761Ne69q1a0e7dk4AIbXHwNvfbeHUsQP8Pe8jql3XgwpNrqPK1beycvh9DB48mCeffJKPPvooLRcCwA8//MAll1zC/KNV2LV0Ose2r6fUJU2oedODrBp+n9dxixYtmvaPAlC0yiWElK5E/XvPjPlNDWJERUUxYsQIypQpkxbECAsLY+LEiQwaNMgSOmbBFU9N8Crz9Xcp6Mcs4N4CngZSByGXAw6rapK7HAtUdZ9XBXYAqGqSiBxx658ZUwSISD+gH5BuqFNe6NWrF4888gj33Xfmbz5t2rS0508++SSlSjnZ01Mj99u2bWPMmDGMGDEi30TujTHp+ZrdoH6VkuSzmGauOPTdh7Tv2pNlWw56rVu25SA3v/MjV11Sln6tL6FNnYoEBFz8vxNjjLclS5ZQqVKltGSBvu5fLnRmgr+/GcuRzTEEFS0J7vV1TEwMDz74ICdPniQoKIj/+7//o3nz5kyfPp2XXnqJsmXLMnPmTMqVK8fmzZt5/vnn012b5TXP3hFBQUE0bdqUfv36kZCQQI8ePRg5ciTFixdPN9Ncau+IIUOGAGd6R5QuXZqZM2f66ZXkrHwZUEg8vI9TR+JYP34wNWa/RmxsLM2aNWP58uVUrlwZONNjYN68ebz4RkOKFC9L8ap1OLj+Z8o3bgM4wyP69u1Lp06d0u0/NRfC1KlTGd+yE1Vbd+PU0f3s+/VbqrbqkrE5WZLVIEaVKlVYc9RJ6CgBgUS06U5wMe8pnozJz0SkE7BPVVeJSJuc2q+qvg+8DxAVFZWn/XFbt27Ntm3bfK5LjdwvWrQIyP+R+/zGV7AuJ1jAz5zLofhT7DuW6FVet/LFl4zRp+QkPrgvil4fr2DV34d8Vlm25SDLthykXuUSPNTmUm5qVIWgQAuMGlOYZJwZwdf9i6rSrVs3goODGTFiBJUqVcrWMco2aEmFpm3ZNvf9tLKnn36aIUOGcOONNzJ37lyefvppFi9enJYzb8aMGXzyyScMGDAg30y3GB0dTXR0dLqykJCQdD0gPPnqHdG1a9dcbWNey5efGGEVqtG4/zs07DeCbdu2ERERwa+//poWTID0XUc0+TQIIELK6VOcPn44rd4XX3yRrgsznOnZULZsWVJOJyIi6XIhnI/gYqWQgIC0IMby5cvTrU8NYgwePJjdP8+kautuaQkdjSmArgFuEZFtwFScoQ6jgNIikhqojAB2us93AtUA3PWlgAN52eALkVnk3nMq2fzwIWeMSe+vvce9yiqWCKFM0SJ+aI1/lAgNZvK/WtDlioiz1tuw5xiPTo3h0oHjKVavZdq1UVYf1SKr59ErMsbkpKSkJGbMmEG3bt281nnev0RHR/P666/Tt29fRo8ene3j+BpyISIcPeokzT1y5Ajh4eFA4Zlu8WKRL3oobNmyhauvvpqTh+JYM+YxqlxzO+Ub/TPT+p5dR7p3707iob0kJ8azfd6HhLfuxs4fphG/bzuN571BjRo1eO+999K2Te3ZMH/+fAAqRXVg04w3kcBAat700Hm/htPHDxNcvDSQd0EMY/xFVZ8DngNweygMUtUeIvIZ0AUnyNATmOVuMttd/tldv0gLUEawvIjcG2Nynq/hDrUrFfdDS/wrNDiQN7pezs2Xh/PizDXsOJiQaV0pUZEKtz1H9XJFua5uRUr6mC3Clyfa182p5hpj8tCCBQuoV68eERHeQUfP+5f4+HgC3C9Pc2rs/1tvvcUNN9zAoEGDSElJSZv+MTVnXnh4OJMmTaJr165MnTo1R45pcl6+CChccsklrFy5MtNusRm7IXt2HZkyZQobM9kuK7kQikfU5bJer2Srvd27d+fPOV+TlHA8LQByfMeGPA9imLw1cuRIxo4di4jQqFEjPv74Y/r06cPKlSsJDg6mefPmvPfeewQHB+fbsV954BlgqogMA34DPnTLPwQmisgm4CBwl5/al22pkftVq1Z5rfMcPjVgwABef/11tm3bxujRo3nlleydV4wxOWv/8UQOnDjlVV6nYiEZ7uDDP+tU4NvH/8msmJ18sGQrm/Z59+BI9feBeCb/sp229StSu1Lh/Z0Zc7HY+uX/cWzHhrT7lw/rnaZPnz6ZzoyQ8f7liSeeoGPHjhQpUoRPPvkkR9r07rvvMnLkSO644w4+/fRT+vTpw4IFC3zmzNu4cSNvvPEGZcqUYdSoURQtWhTI/rBKGy6Z8/JFQKGg8RXESO1RkVtBDONfO3fuZPTo0fzxxx+EhYVx5513MnXqVHr06MGkSZMAuPvuuxk7diwPPfRQvh77ldNUdTGw2H2+BWjuo85JoEAOGPNn5D6n9O7dmy+//JKKFSuydu1aAP7973/zwQcfpGU3/s9//kPHjh1ZunQpDz30EEWKFGHKlCnUrl2bw4cPc+edd/LNN99Y0klTYPi6Wa5SKjTL37hfrEKDA+l2ZSRdr6jG4o37eHfxZlZs851f4VRyCnPX7qHRoQRa1ylPkL3/jSmwanZ6ON1ynz7OPcu4ceN81s94/9KqVSvWrFmTo20aP348o0aNApzcAv/617/SrffMmdepUydmzJjB559/zuTJk+nbt2+OtsWcPwso5KEdO3Zw33338cfqjSBQvvG1VLyiPYf+XM7un74gYEQvli9fTlRUFIDXhT1A0skTbJ3zP2p1GYSIfbDnpaSkJBISEtIS8oWHh9O+ffu09c2bNyc2NhawsV8FUffu3Vm8eDH79+8nIiKC6Ohov0fuc4qvGSwAHn/8cQYNSj8ntc1gYS4WW+JOeJXVrlj4hjtkJiBAuK5eJa6rV4nlWw/y9qK/WPLXfp911+w8QtyxRG5qXIXiIXbpaIzJGeHh4Xz//fe0adOGRYsWeV0n5/fpFs8n6fTF2EPCPhXyUFBQECNGjKDvlLUkn0pgw8QhlKjegNDyEVxy60AqbP46Xf2MF/YEXM6eZbOp3OJmCybksapVqzJo0CAiIyMJCwujffv26YIJp0+fZuLEiWlRVhv7VfCkBu0y8mfkPqecbQaLjGwGC3MxCCxZgbjj3jmKLq1gAQVfmtcsy4TezZn/x176/O8bgkp6z8u+5+hJpizfTseGVahaJswPrTTGFGSeQy5Sv7j54IMPePTRR0lKSiI0NJT33z8zA0RhmG7xYmEBhTxUpUoVqlSpAlPWElgkjNCy4Zw+foiSNdwEjpvT1894YZ94YC+njh2kRGT9vG98IXfo0CFmzZrF1q1bKV26NF27dmXSpEncc889ADz88MO0bt2aVq1aAWRr7Jcx/vLOO+8wYcIEoqKiGDFiBGXKlMmVuaeNyWtFa7XwKitfvEihH+5wNiLCDQ0qs+ujR7jula/YFOc9ZCT+VDIzfoulVe0KXB5RChHx2EFA+uUsiKgWyY7tf19o040xBYDnkAvPb+l95aiCwjHd4sXCAgp+kngkjvh9f1OsyqWZ1sl4Yf9+2y6Et7wjD1tZ8GTW9ehCuxctWLCAmjVrpo0379y5Mz/99BP33HMP0dHRxMXFpUvEmSo+Pp6XX36Z4OBgXnzxRW688UaaN2/OpEmT+Pvvv/nss88IDAzkoYceYuDAgYU5maPJYw899BCDBw9GRBg8eDBPPvkkH330kc1gYS4KYbWv8iq7xHonZIkmnqBjo8qsjj3CD3/FkZJhPp4Uhe83xrH36Emuq1eR4EC3x6Sm8Ob8P7N1LJsZwhhjCj4LKPhB8qmTbJn9NhHX9iAwJPNugxkv7IOLlwKFLXP+hwQEEtGmO8HFSuVVswu1yMhIli1bRnx8PGFhYSxcuJCoqCjGjh3LvHnzWLhwoc/x5YMHD+bo0aNs27aNG264gZSUFFasWMHx48cJCgpiw4YNBAQEsG/fPoBClczR+JdnUKBv37506tQp3XqbwcIUVEcSThNaraFX+aUVivmobXwRES6vVpoKJUL4as1u4k8le9XZsOcYuw4n8M86FahZ3n63xhQ024c2yvY2kS/lz6Gdxr/OGVAQkY+ATsA+VW3olpUFpgE1gG3Anap6SJy+bqOAjkA80EtVf82dphdMp0+fZsvstylb/x+UqROVpW1SL+wrX3UbOxZNomrrbpw6up99v35L1VZdcrnFBqBFixZ06dKFZs2aERQURNOmTenXrx/FihWjevXqXH311YDTc+Gll14CnLFfMTExFClShISEBB5++GH69u1LZGQkISEhfPrpp2lBiIoVKwKWzNFfzudDNSvy8wfv7t27nSFYwBdffEHDhulvwArKDBbGZLT4z31IYPrLmxKhQVQoHuKnFhVc4aXDuLt5JF+t2c3uIye91h89mcSc1bspV7wIJaJuZd/Rk5QtXsRmgzCFhq8pxUNCQnjxxRetF6opNLLSQ2Ec8A7g2Zf8WWChqr4mIs+6y88ANwK13UcL4F33p8EJDPTp04fQsuFUiuqQ5e1SL+wn7ixOyulERAQRQZO8E06Z3BMdHU10dHS6sqSkpEzrh4eHs3DhQkaNGpWWzPGWW25h8uTJlCtXjmnTpvHFF19QoUIFRo8eTe3atS2Zo8kVvmawWLx4MTExMYgINWrUSDdkpyDNYJEf+LqgfPDBB/n+++8pVcrpRTZu3DiaNGliF5R5YP66vV5ll5Qvlu3x/cZRLCSIO5pF8MNfcayOPeKzzoHjpyh7fV+mrNgBQJHAAEKCAygSFECRQOdnidAgKpUMpWrpMMoULZKXL8GYXJHZlOKqyo4dO6wXqslxo0aN4oMPPkBV6du3L4899ljauhEjRjBo0CDi4uIoX758nl5vnDOgoKo/iEiNDMW3Am3c5+Nx5qB/xi2foKoKLBOR0iJSRVV351iLC7ClS5cyceJEQstHsH78YADCW3VBk0+zY+Ek5NQJbrrpJpo0acK8efOA9Bf2E5+fQqWoDmya8SYSGEjNmx7y58sxWZBZMsfExERCQ0NZuXIlM2bMoHfv3ixZssSSOZpc4WsGiz59+mRavyDNYOFvmV1QgjPdVZcu6XuR2QVl7kpMSmbxn/u8yi1/woUJDBCurVuRSiVDWbRhH8kZEytkcCo5hVPJKV7la3ceBaByyVAaVi0JATby1hRsvqYUf/HFF/nkk0+sF+pZ2HCL7Fu7di0ffPABy5cvp0iRInTo0IFOnTpRq1YtduzYwfz584mMjEyrn5fXG+fbJ62SR5BgD5A6GLcqsMOjXqxb5kVE+onIShFZGRcXd57NyB3bhzby+bhQLVu2RFW5rNcr1O/5MvV7vkypSy6ndO0oGj34FomJiezduzctmABnLuyDg53M1MUj6jrb3zuU0LJVsnTc3r17s/p/j/DHx8+nlcXv+5sNk4fSpEkToqKiWL58OQDTp0+nQYMGtGrVigMHDgCQeHgvW+b8L1uv1R/HzI88kzkGBwenJXOMiIigc+fOANx+++2sXr063XapgaT+/fszZMgQxo8fT8uWLZk8ebI/XoYx5ixSLyiTkpLSLigzYxeUuevnzQc4kWG8f5GgAKqWtmkOc8JlVUpyd/NIql3gtJF7jp5kwfp9hPd+x2cAyJiCwHNK8SpVqlCqVCnat2/P5s2bmTZtGlFRUdx444389ddfwJkpxefMmUP37t15+eWXGTx4sJ9fhSko1q9fT4sWLShatChBQUH885//ZMaMGQA8/vjjvP766+l64uXl9cYFD3JzeyOcPVTte7v3VTVKVaNSM+eb3NGrVy9qdRmUrmzn99OocvWtxMTEMHToUJ5++mngTDTrgQce4KabbmL1/x5h/YQhabNL7Fr6BWvGPEqTJk1o0qQJc+fOBZzeF40bNyYqKoq//vqLXr16UePm/pw6uh/VlCwfM7U79a4fp18UM1p4JnNUVRYuXEj9+vW57bbb0r4B/v7776lTp0667YYPH84dd9zBlVdeydKlS7n66qt58MEHmTt3Lk899RT16tWjcePG3H777Rw+fBjw/hsAHD58mPbt25OS4v1NkTHmwmV2QQnwwgsv0LhxYx5//HESE50hahfzBaWIVBOR70TkDxFZJyKPuuVlReRbEfnL/VnGLRcRGS0im0RktYg0u9A2fPuH93CHmuWKERhgwx1yStliRbi9aVVualSFKqVCL2hfweUi6PXxCh6fFsOJxMyHEBqTH3n2Qt21axcnTpzw6oXat29fevfuDThTiq9atYo5c+Ywa9astF6oXbp0oW/fvpajyJxVw4YNWbJkCQcOHCA+Pp65c+eyY8cOZs2aRdWqVbn88svT1c/L643zDSjsFZEqAO7P1PDyTqCaR70It8z4UevWrQkMzZCBWYTkU06CpSNHjqR9o+YZzbrmmmsIb9UVCQggtEzltE0rXnEDMTExxMTE0LFjR8AZtzN37lzeeustxowZQ+vWrTm0/ieCwkogEpDlY6ZG0IKLlUp3zILKM5ljo0aNSElJoV+/fjz77LNMnz6dRo0a8dxzzzF27Ni0bXbt2sXy5cvp378/MTExfPzxxyQlJZGcnMzgwYNp164da9euZfXq1dSpU4dXX30V8P4bAAwbNoznn3/e5wwUxpgLl9kF5auvvsqGDRtYsWIFBw8e5L///S9w0V9QJgFPquplwFVAfxG5jDN5l2oDC91lSJ93qR9O3qXzlpKiLFjvI39CYZ7dQQLS8i5l9ZGl3YpQq2Jx7oyqRo8WkVx1SVniN6+gaJFAzid088VvO7nlnR/ZuPfYeWxtjH9YL1STl+rXr88zzzxD+/bt6dChA02aNCExMZH//Oc/DB061Kt+Xl5vnO/gtdlAT+A19+csj/JHRGQqTjLGI5Y/IX+KuLYHmz4fTrVqs0lJSeGnn34C8EoK+F6DKwkqWvKc+0sdO5YaFNi8eTOnThwhIPhMVu2sHrNr165Uvuq2XHnd/uArmWNISAhfffWVz/rh4eHp1nXt2pVSpUoRHR1Ns2bpv8C76qqr+PzzzwHff4MdO3bQpk2bnH1BpkApjDNY5CXPC0og7YLynnvuAZz3+v33388bb7yRbrvUC8p58+bRqVMnZsyYweeff87kyZPp27dvnr+OnOB+3u92nx8TkfU4wx7zJO/S6p1H2Hs0fbLiAIHq5Qpx3hlN4c35f2Zrkyfa181W/fLFQyhfPIRpn0fz3Pw/SVEl8XQKiUnJnEpO4XSSEn86ibhjiWzdf4L9x0/53M/muBPc8X8/MebeK7imVvlstcEYf8hsSvGSJUvy3XffUbNmzUx7oQ4cOJDg4GASEhIQEZtFyWRJnz590nJgPf/881SqVImZM2em9U6IjY2lWbNmLF++nMqVnS9m8+J6IyvTRk7BuRAoLyKxwBCcQMKnItIH+Bu4060+F2fKyE0400bef6ENzOxi2C5mL8z+mEVEXHs3W2a9zaeffkqfPn1YsGCBV1LAEtXqc3D9z2yZ9TaBocUIKlqCuN9+TOtaP2LECMqUKcNzzz3HfffdR1hYGBMnTmTQoEFUiupA7MJJ2T5mx44dGbNiD9vnf01gaDGqXdcjXWCiMJo6dSrdu3f3Kv/oo4/o1q0bgM+/gSV6MyZ3ZXZBmTotp6oyc+ZMr2k5L/YLSjeZc1PgF7KfdyldQEFE+uH0YEiXcCqjb//Y41VWrUxRQoICz+clmPMUIEJYkUDCiqT/vdeuWIKrLynH3qOJLNkUx67D3tNQHktMotfHy/nvHY3p3Cwir5pszHnJbErxhIQEevTowciRIylevLjPXqhDhgwBYMCAAVx55ZWULl2amTNn+umVmIJi3759VKxYke3btzNjxgyWLVvGo48+mra+Ro0arFy5kvLlzwRl8+J645z9oFW1u6pWUdVgVY1Q1Q9V9YCqXq+qtVW1raoedOuqqvZX1UtVtZGqrsyxlp6H3Equ6I9j+kpyuOvH6fwx7gWaNGlC+/bt2bVrF+A7yeGpo/s5dexg2rYH1v1I6dpRgPMNeGqCxFSp0ayyl11DUvxRqt/Yj+JV6xAUWpwG/xpOTEwMVapU4cknnwSgSZMmLFu2jO+++44tW7Y489srnDp2kK1fjeH0iSNZPmb//v3Z9dMXacc8uP7nC/79nUtmSSSvuuqqLCWR3Lx5c9qNfU47deoUs2fPpmvXrunKX3nlFYKCgujRowfg+2+gqnTr1i3121JLp21MDstsWFOPHj1o1KgRjRo1Yv/+/bz44otp26ReUN52223AmQvKMWPGcPfdd/vpleQcESkOTAceU9WjnuvOJ+9SVnMu+cqfUKiHO+RDIkLlUqF0aRZB2/oVSTnlHVQ4naw88env/O+7TTj/LqYgy4vcKnv37qVBgwY0bNiQ7t27c/LkSd555x1q1aqFiLB///60ujl9DRcdHc2GDRtYu3YtEydOJCQkhNKlS/PVV1+xZs0afv7553Rj2331Ql23bh1Lly7FcsqZc7njjju47LLLuPnmm/nf//5H6dKlz1o/r643bGB1AeErsWKlKztyWa9XiImJoVOnTmnjZ3wlOdy74huCPYYuBBcvzfEdGwBYtGiRV8bP1GiWBAaCKiKACBIQiAQEEBAQQN++fb2CAqrKsGHDGDx4MPt+nU9wsVKUb9yGfb9+m6VjighVq1blROzGtGOmnD7Fvl+/pV69ejRo0CAtmWPGJIS9e/fm9//1J2ZUv7REkPH7tvPn5KE0atSIm2++maNHj/rcNrMkkkOGDMlSEsncnPbt66+/plmzZlSqVCmtbNy4cXz55ZdMnjzZa8yr598gOjqa119/PbVLUyWMMTnO1wXlokWLWLNmDWvXrmXSpEkUL35m2sKL+YJSRIJxggmTVXWGW5zreZdOJ6fQqnYFIsumH95wSXmbLjI/EhEahJdiz4THMw36DJ/3J/+eve6cU1SafC9Xc6uISNV9+/axcuVK1q5dS3JyMlOnTuWaa65hwYIFVK9ePV39vL6GMyYnLVmyhD/++IPff/+d66+/3mv9tm3b0vVOyKvrDQsoFBC+EisGhpyZtunEiRNpN5YZkxy2bduW49v/IPHoftaMeYz9a76nevvexH4/hcsvv5znn3+e999/P21fGaNZgWHF2TDp3+z/fRHFI+un1fviiy+8uvGmDlno378/x7atIfHwPrbOfof4PZuzdMwhQ4bwzTffpDtmcMmyHNn0K7///jvr1q1j0CAnsJIxCWGvXr0oWaNRukSQ2+d9RHjrO1mzZg233347w4cP97ltZkkkUwMQ50oimZvTvk2ZMiXdcIdvvvmG119/ndmzZ1O0qPfY4NS/QdmyZYmPjyfADQBh73djTC4S50PoQ2C9qr7psSo17xJ45126z/1G8iouIO9ScGAAgztdxvdPtWHeY6059MMELqtSkuKh1jErPzt9YAczHvoHzWuU9bl+/M9/M3DKbyQmJftcb/I/Vd2tqr+6z48BnrlVxrvVxgO3uc/Tcquo6jKgdGpA8izH8Jq6t2nTptSoUcOrrk3da0zOs0/aAm7nks+pVu0FSpUqlTYNYcYkhzNmzKDhAyMJCkv/TU39e4eyavh9XvtMjWZ1796dP+d8TVLCcVClYlQH9q2YS/y+7TSe9wY1atTgvffeS9sudcjC/Pnzeeyxx/iVS9i+YAISGEi16+8jtGyVcx4TnOhaYJEwLrv/PwBsmf0OlVp0IiTEyaNQsWJFwDsJYdWqVUlKjE+Xb+HkoT0Uj3ASTLVr144bbriBl19+OctJJJ966ikGDRp0ziSSU6dOzeZfLmtOnDjBt99+m+73/Mgjj5CYmJiWd+Kqq65Km9XB828A8MQTT9CxY0eKFCkCZ74VNMaY3HANcC+wRkRi3LLnycO8SyJC3colOPrzp7SLfvlCd2fyQOmiRZjQpzlPfvY7X632jid9tWY3B0+c4r37rqBkaLAfWmhySm7lVilWrBiRkZGEhYXRvn37tKl7fcnLazhjCgsLKBRwVVt1YdXw2bz66qu88847REdH51iSwylTprDxqQnpyso3+ieAz6BA0aJF04IaAMUj6nJZr1cu5OUBkHhoL8dj/6RFixaEhobyxhtvcOWVV2YpEWRY+aoc2fQr0JPPPvuMHTucz6isJpF8d+RI7rjjjnMmkdy4cSNvvPEGZcqUYdSoUT57DpyPYsWKpY3xS7Vp06ZM62f8G7Rq1Yo1a5wEpiKSmNl22SUi1YAJOBcACryvqqNEpCwwDagBbAPuVNVD7jeXo3BuHuKBXqnfWBhjLg6q+iNkOmugV99MN59C/1xtlCkQQoMDefuuplQuGcqHP271Wv/zlgN0e28Z4++/koolQ/3QQnOhMuZW8RyuqaoqItnOrQK8LyJlkpOTD27dupXSpUvTtWtXJk2alDbTTkZ5eQ1nTGFhAYWLRI8ePejYsWO66Qk9pwl5qU4zLrllIIc3ruDg+p8p37iN/xqbTZqSTPLJEyxbtYwVK1Zw5513smXLlrQkhAA//PCDkwhy55lEkBFtulP9hj7sWDSJK664gltuuSX1m/osbXtg3Y907jwPcMYc/etf/0rXrvj4eJ555hmSk5OJj49n7969fP7557z22mvMnz+fkydPEhQUxP/93//RvHlzpk+fzksvvUTZsmWZOXMm5cqVY/PmzTz//PNMmzYty7+PHTt2cN9997F3715EhH79+vHoo48SExPDgw8+mOlxgboiUk5VD4jIpcB/VPV8M0mmjon8VURKAKtE5FugF86YyNdE5FmcMZHPkH5MZAucMZEtzvPYxuQLV2QIuOYUXwFbYy52AQHC4E6XUalkCP+Zu8Fr/frdR+n87k9M6N2cSypYboyC5Gy5VVR19wXmVmlbpEiRTKfuzczFOHWvMf5iAYUC7OShPYSWceYYnTVrFvXq1Uu33nOaEE06lS7JYUFSpERZSteOQkRo3rw5AQEB7N+/P+3DIzUJ4dSpU/moedt0iSCrtupC7a5Ps2r4fWzcuDFdYpJzbRtcvDTff/89bdq0yTSJ5COPPMKNN95Iq1at0qZh+fTTTxk5ciQ33ngjc+fO5emnn2bx4sVpiYBmzJjBJ598woABA84rEVBQUBAjRoygWbNmHDt2jCuuuIL/b+/Ow6Oq7gaOf89MZhISyE4ggRBA1rAYkIqtAtYFkfIo5RWV8rYVRAutgAJqVagioBbBKugrdQE3RCsquCAiCqValTVsCigQCCFAWELIvsx5/7hDSMLMZCbJZJb8Ps9zn8zcueeeeyf3njNz5pzfuf7663nggQd49NFHneYbERGRA/wOWAjMBqa7zsk5X883L4QQrphDLEwZ3NXXhyHq4O6BlxDfPJQHlu+gvEZAxiNnihj+wjcs/F1fBnUJ7ACmTYUbsVWe4uLYKvcopd7B+OGhttgqhwsKCi6aurc23phKry6NzNKALOrKn643aVAIEFXjGexcdC+JV/6WvAM7KD6dTe/P55GSklI5jh4unue2ZZ/r2fPWY5hDw+k4fLKzbPxSVKe+nDv8IwD79u2jtLS0WgTTqkEIdbnRWKKUQpeXUFaQhyUiEpvNxuzZsxk/fny1fdcMIqltNg5+9DzNEpJJGTyWqVOnUl5eTlhYmMMgkp9++ikZGRnExcVVziOcmJjo1WCOiYmJRo8KoEWLFnTv3p2srCxULUEkMYIylimlBgDHtNY/eZSxE76Yb14IIVypKC9Df/WER2nUNQ/XvlFDUSZp8HBhRN+2xEZYmfDWVorKqgdkzCsuZ8ySjfz1xm7cNaDjRTMdCb/j1dgqWuvvk5KS6Nu3LyEhIfTp04e7776bBQsWMHfuXI4dO0bv3r0ZOnQor7zyCnDxZ+TzU+lFR0ezYsWKhjx3IZoEaVAIEJ7GM6g5TUhM18uJ6Xq5dw+yAYwaNYr169dTfCansuEkrtdADq1+hZ49e2K1Wnn99dcrP0BUDUI4atQoCo9nUFFcwL5//Z3EXw3nzJ7vyElfS7eVsxkxYgRjxlyol9wJIrllmePeA1Xf32FPvE9OoY2Wtz1IMXDm1FF+f9efaw3mmJqaSmlpKV988QW7du2qtv/58+czbdo0cnJyiI+PdzpcYvLkyezYsYP+/fvz7LPPcsMNNzjNF4gGlgHvAbc3xP/LW2MiAfr16ydzhQkhAoLZVkLzkhyal+YQUZpDiK0YhcamLBSHRFJgjed0sxTKzfbZmbTNvxs8/MDVXRNYdvcVjH1tE6cLqvestGl4YtUeth85y5MjekmwRj/WGLFVkpKS2Lx5c7V1kyZNYtKkSU63rzmV3siRIz3JUghRhTQoCL+ybNky4OJuPB1+M77WQJCOGl0AEi4b3KhBJE+mf0XbX/+OAysXugzmOGLECPr168ekSZO46667KgMBZWZmsmbNmmq/0DsaLvHggw+SkZHBs88+S2RkJNOnT+cfLoJIKqV+xhh6sAroopSaBpwBJmutPe7j5+UxkUII4ZfMthJaFvxEq/wfaJX/IzvGR9Dj24GYsNWaNi+0NSfDO3Hkl1bIPw4RCSC/sDuVlhzN8vG/5I4lmzh8+uJq6tMd2ew4ksuC2/vQp12MD45QCCGEzEvvRw4/3uuiRQSeU7u/JrqzMX5v5MiRbNy4sdrr53tGPPPMM7z66qu0adOGq666iqVLlwJw3333MXfu3GrdOGsOl1i3bh2bNm1i7NixjBgxAoDXX3+98rGjfDHu9zuAF4CZGGMWvwZGe3qOvpxvXoiqxo4dS0JCAj179qxcl56ezhVXXEFaWhr9+vWrvBfef/99evTowYABAypnT9m/fz+33VbX2KQi6GhNSEURESUniCvcT1Ledjqc/g99s97ihn2PMTr9d/zlu0GM2jGGaw48TY8Tn9CrldmtxgSAyJJjdDzzNfMHh8GWJfDtQvhpDeRlg5ZOWY50bNmcj+65kqs6xTt8PfN0EcMXbiD6ylEoswWl1EVLcruURj5qIYRoOqSHghANzNI8mvxMI0K1s2CO5wMBFRcXA1QGAlq5ciVt2rTh0ksvrZam6nCJN998k9TUVG666SamTJlSuU1SUpLLIJIY8Qwe11qXKaWaYUz3aAPqMj+Sz+ebFwLgjjvu4J577uEPf7jQC6m2AKX1DYwqAlzJOcjLgryjUJwLJflQXsSJac2J/faXmHVFrbtoMGWFcHSrsYTHQZtfQOueYJKPZ1VFh1t5bcwvePKzPQ6nlVTmEKIH/C+XDBnLdd1b0Tqq+tSSEq9CCCG8R2osIerBUbDMlMFjyVz3FpdeusppMMfzgYD++Mc/MnXqVBYtWsTbb7/Nrbfeypo1ay7Kp+pwienTp5Odnc3atWuJjo7GbDbz8ssv8/LLLzN58mSnQSSBCK31CvuqhcAmIBcY7ul5y3zzwl8MHDiQjIyMautqC1Ba38CoIgDZyiFnD2Rvh7OZDjdpGWGCxmxMqKnwFPy0Gg59DW0vh6Q+YA7y2ADK5HFQxfDuA2nz279SWnFxr5BTBaW8uzmTHkmRXNEhjuZh8jFXCCG8TUpaIerBWdyG7r9/3K1gmS9uL0Y1j6f4V3/ixkff4qedP5LQrhOJMREcOXKEvn37snHjRlq3NqYHLSws5L///S+lpaUMGzaM7du3s3z5ck6dOsWIESPYsmWLw+O0f6H6+fxzrfV7GMEZhQg6tQUoPR8YdeTIkbzzzjs+PlrhVVrDqX2w/ysoPuvVrI6es3EkT5OVZyO3WBvdv0IUceGKTrEm2kcrTO58eS7NhwNfQdZmuOQaiO8avHEWtI1n1uz1KMmUwV0Z9eQLrN59jON5JQ632X00j73HzpGWHE1acnQDHKgQIpAdWv0KZ/enExIeCfbP5zNmzGDlypWYTCYSEhJ47bXXSEpKchoI/eGHH+bdd9+tV96pY6oH43U3CHtd824s0qAghJ9o1jKZ3n95HjBm7mjfvj2bN2+uNkWmN+ZNFiLYvPjiiy4DlMKFKWP37dvHvHnziImJqQyMKoJEWRHs+QRO72/wXZ+zJnC8eXeON+/OrCfms/qFh0iyhpPkKlFFGRSchNxDfP7FWm7oHOq6R0RJHvywAqJToNP1DXwGgS063MrIy5L57sApthw+4zD8RLlNs/nQGbYdziVu6H2kZ+ZyadsomWYyyNUM6u0ORz8AieAS2+MqWva5joxVF3rv3n///cyaNQuABQsW8Pjjj7No0aIGHx7pKG/A7SDsgTA0UxoUhPARR8Mlzk8F6ojMmyyEe15//XWee+45wAhQOm7cuGqvnw+M+vnnnzNs2DA++OADli9fztKlS7nrrrt8cciigV3exmwEPSzJ8zhtSbnmTLEmt3KB4/k2dp6wseN4BTuO2zhekIfR6etjUCawutEQZbZAZCJEJjJk6UfoNdMgZy8c3wlnjzhPl3sItizh3iusoG1GfgKzSXFlp3g6t2rO2h9PkHPOcW+FCq1p3utahr/wDW2imzGkZ2uu696KPu2iCbOYG/mohRC+0CK5GyVnc6qti4yMrHxcUFBQ2djY0MMjHeUNF4Kw33zzzZXrAnVopjQoCOEjzoZLnFdzXLjMmyyEe2oLUBoIPX3Gjh3LJ598QkJCArt27QLgscce4+WXX6Zly5YAPPHEEwwdOpRvvvmGCRMmYLVaWbZsGZ07dyY3N5dbb72V1atXYzI1sS+gez7l33eEu25MCI+DmPbQvDWERYIlgta3/4NjK2cSagqhNdDazezUNQ/X7ThDwiDxUmM5dwwyvzPiPDiiK/jHDWFk7prAms6Pkhfmsi9Ek5LQIozb+yWTnpnLxozTlJQ7n3EjK7eIV78+yKtfH8RqNpGWHE3/jrH0ax9LWttoosKDPGaFABx3Qd++fTvjx48nPz+f9u3bs3TpUiIjIxu8fG0K3d8DySOPPMIbb7xBVFRU5VTyjTE80p0g7IE0NFMaFJo4Z1NTtvvbzkY+EiGE8NyoUaNYv349J0+epG3btsycObPWAKWB0NPH0ewVYPyiMW3atGrr5s+fz6pVq8jIyGDRokXMnz+f2bNn8/DDDze9xoStb8LHkwgLcdKtPaY9pFwFkW0uiktwvED7bnaFFq0hdbgxJOLAV3D6gMPNkvO28vtto1jfcQq7E24K3tgKHjKZFH1TYkhNimRTxmm2HzlLhc31NJylFTY2ZpxmY8bpynUd4yOMuAvtjNgL3VpHYg1pYvdQE+CoC/q4ceOYN28egwYNYvHixTz99NPMmjWrwcvXptD9PZDMmTOHOXPm8OSTT/L8888zc+ZMrw+PLCws5Iknnqg1CHsgDc2UBgXR6KQRQwjRUJYtW+ZwvasApYHQ08fR7BXOWCwWCgsLK7tI7t+/n8zMTK6++mqvHqNf0Rq+eQ7WPur49ZAw6HIjxHfx7y/hEfHQcySc+hn2f2lMa1mD1VbI4J9nc8mpf7O20yMUWuMa/zj9VJjFzIDOLUlLjmbHkbPsOnqW4jLnPRZqOnCygAMnC/hgWxYAuqKMyzq0JC05hrR20fRJjqZtTDOJwxDgHHVB37dvHwMHDgSML3U33HADs2bNavDytSl0fw9Eo0ePZujQocycObNynbeGR+7fv5+DBw9W9k5wFoQ9kIZmSoOCqBNpFPAtZ0GHJLCQEMHt+eef54033qBfv37Mnz+fmJgYHnroIf7whz/QrFkz3nzzTaZNm9b0fsHK+Np5Y0Lz1tDjtxAW1bjHVFdKQXxnozfFwfWQ5bhx7JIz/yExfRRrL3mY/XFXN+YR+r0WYRau7BRP/w6x7D1+jo8/W0N4hzSHwRtdUWYLWw/nsvVwLnxjrItvbqVXmyh6JEXRIymS1KRI2sWGSyNDgOvRowcrV65k+PDhvPfee2RmGtPLNkb5Gmzd3wPFTz/9VNk4s3LlSrp161btdW8Nj+zVqxcnTpyofN6YQdhzc3MZN24cu3btQinF4sWLWbFiBZ999hlpaWm88Ybx/eKtt97i5MmT3HvvvW7tVxoUhBBCiAAwYcIEZsyYgVKKGTNmMHXqVBYvXkxaWhrfffcdABs2bCAxMRGtNbfddhsWi4X58+fTqlUrHx+9l3UYAL+aCP9dWH19TAejMcFs9c1x1YfZYszuENcZ9q5yGBMivOwMN+25n90Jw1jfYSqlIc19cKD+K8RsokdSFK++O505n/7AgZx8Dp0qJCu3iMJSFzNsuHAyv5R1e3NYt/fCr8wtQkPonhhJWrtorrDHZIgMk3gMgWTx4sVMmjSJWbNmcdNNN2G1GmWGt8vXYOz+7o8OfvJ/nMvcQ3lRfuXwyFWrVrF3715MJhMpKSksWrSocvuGHB5ZNe+di+7l1W5l3HnnnU639+bQzMmTJzNkyBCWL19OaWkp2dnZbN26lR07djBu3Dh27txJp06dWLJkCatXr3Z7v9KgIIQQQgSAqh9a77rrLoYNG1btda01s2fP5p133mHixInMnTuXjIwMFixYwJw5cxr7cBvfdY9DwSnY/rbxvGV36DYMTAEeyT+mPfQby+Ln5zK2j+OGkR4nPqH9mf/ydfuJ/NByqMwE4UAzi9neqyAKrTW5RWVknSni6Nkijp0t5kxhWZ33fa6kvDIew0sbDmBSkJYczXWprRic2ppOCdLQ4++6detW+aV+37591YbGgffK12Ds/u6POgz7c+Xj8715XX2pb8jhkVXzNvKt3pu4sYKwV5QUsmHDBl577TUArFYrsbGxlJWVobWuHFozb948Jk6ciMXifqOoNCgI4YIM7RBC+Ivs7GwSExMB+PDDD+nZs2e118//ghUbG0thYSEmk8nvZq/wKpMJbloARadZ+NZHTJwWREELQ8K486Ni4kYt4Pr9cwgvO3PRJhFlp7nhp5n0zn6f/7SfSFZUXx8caGBQShETbiUm3ErPNsZQmJKyCo7lFXM8r4RjecUcO1tMUVndejHYNJVDJeau3kvH+AiuT23Fdamt6JMcTYhZGnz8zYkTJ0hISMBmszF79mzGjx9f7XVvla++7P4umpaSszm0bNmSMWPGsH37di677DKee+45hg4dSp8+fbj22muJiori+++/Z8aMGR7tWxoUgkBT+dJbn/NsKu+REE2Js/u6PvylTHA0e8X69etJT09HKUX79u355z//Wbn9+V+wzv/CNmXKFIYOHYrVauXtt9/21Wk0PrMFbn2TSaNDmXh/kDQmVHEgbhBvtujJdT/P4ZIz/3G4TWL+Lm7d9SeyItP4NjUEk60Mm0m639cm1GImJS6ClLgIwPhF+sFbB7F8/RbSM3NJz8xl99E8Sl1MS+nMgZMF/HPDAf654QAVRecoPriVogObKc5Ip6LgDG2T25F5+FBDn5JwwlEX9Pz8fF544QUARowYwZgxYyq3b8jy1Z+6v4umRdtsbN26lYULF9K/f38mT57MU089xaxZs3jggQcAY7aTxx9/nFdeeYU1a9bQu3dvpk+fXuu+pUFBCCGE8DOOZq9w9aEzPDy8cg5tgAEDBrBzp380jjS6kACMl+CBQmscH3WfT48TH3H1gWew2hz/StkmL51/jQynaNONHIy5ioMxv+JQzBWUhEQ28hEHJqUU5WePc3NaG25OawNAabmNvcfO8UP2WX44msfuo3n8mJ1HgQfxGMzNWhCROoiI1EEARIaFkL11La9+fbAyyKPEX/AuZ13QJ0+e7HD7hixf/aX7u2h6rC1iaNu2Lf379wfglltu4amnnqp8fdu2bWit6dq1Kw899BCff/45Y8aMqRa80hlpUBBCCCGECCRKsbvVzRyOupyBGc/R5dSXTjdtVn6W1JxPSc0xvpScCUvmRERXTkZ0Ii80ibywRPJCEymwxqNVgMebaGjK5MbsDYqQmERCE7sQltKb0Ha9sUS3djuLvOJyIlKvZtYnP1SuS4kLp0dSZOVMEj2SomjZIrSOJyGEEGCJiCY5OZm9e/fStWtXvvzyS1JTUytfnzFjBi+99BJlZWVUVBiNpO4OrZEGBSGEEEIIf6dMTBnc1eFLv25vZsGNYfRMqL1BIKY4k5jiTLqeWlttvUZRFBLF4AkRRO78E0WWGAotMRRZYiiyRFNoiaXQEkOBNZ4CSzxl5vDgiVHhjLbxzJq9HiWZMrgrMz7cyf6T+RzIKSD7bLHH2R46VcihU4Ws2nmscl1Ci1AuS4nh6q4tGdQlgdZRYR7vVwjhe54O12zIoZgLFy5k9OjRlJaW0rFjR5YsWQLAihUr6NevH0lJSYAxu0mvXr3o3bv3RdOZOiINCkIIIYQQ/k7b0F894fJ1cvbA4W+hIMf5dk4oNOHlufRIMEPe1lq3LzOF2RsX4iiwxmMeEkrfzCUUWuMotMRSYP9baIltcjEcYiKs9IuIpV9KLAUl5Rw8WUDGqQIOny6krELXaZ8nzpXw2a5jfLbLaGTQZ47w598O4tpuCfRpF4PZFOSNO0I0kLrEX/KX+Er1lZaWxubNmy9aP3z4cIYPH175fN68ecybN8/t/UqDghBe4otAkBJ8UgghmihlgoRUY7rM3MNwbDtFWbtpZvHOF02LrZjo4iNEFx8BoEv/UDj8fw63LQ6JpMBiNDAUh7SgzBxOmbkZc68P5YrDL1Nqbka5KYxyUyjlZvtfUyjlpjDKTFWem8OwBNgECRGhIfRsE0XPNlGU22wczS3m4MkCss4UcTK/hLo1L4CKacuL6/fz4vr9xIRbuLprAtd0S2Bgl5ZENWtaDThCCN+SBgUhhBDCj3hj9gqQhsUmQymISYGYFGLv3civU0z8pksI13Uw0zXeNzESwsrzCCvPI67oYLX1l/4qFDJf8mhf42dEUvzdrym2RFNoiaE4JKpyaIbxN5YCS6z9ufHXX4SYTLSLDaddbDhgBHk8nlfMq/+YTf9bJ3LiXAm5RWUe7/dMYRkfbsviw21ZmE2K3m2j6Nsuhj7toumeGEm72HAsMlWlU77sgu7LvIVoKNKgIIQfclTBSCUihBDCE8VlNla9NPvCivISyD8BBceh6CyUnIVi+1Lu+Vh/XwmryCesIr+yd0Rtfv9AC9h6S2UDQ7G5BWXmZhcWk9FjwqZCsCkTGhNamRneLYSOp/7tJFil474Fw7qE0PH0hhqbOt7WpkLoZAphc/YKxrQfhU2FUGgL4WihmaOFJrIL4FiBjZOFFdjc7MpQYdNsO5zLtsO5levMCtpFKto2h6QISArX3DLkGtpEN3Nvp0II4YJXGhSUUkOA5wAz8IrW+qlakgghgpyUC0KImqRcaGQhoRCdbCw12SqgrJBL7/g721+4E8oKqy+lhVBaAKX5xl/t/lSJvhbbTEHRIWKLDnmUbtht4bBnmkdpho8Khx+nepTmf8ZEwI6xTl8vsYaQrjuxvuJS1tnS2KNTPNp/hYaDZzUHz15Yd+2VxX7doCBlgxCBo8EbFJRSZuAF4HrgCLBJKfWR1voH1ymFEMFKygUhRE1SLvgZkxlCW7DjuA1iO7jeVmujR0OVBoZpC95j3tgBFxoeygrsf2ufcky4FqrK6a/20N+0hwd5l2M6hnUVaXxl68PXtp4U4fmMD4lRVi8cacOQskEI7/DWEBtv9FC4HPhZa30AQCn1DnAzIIWAEE2XlAtCiJqkXAhUSoGlmbFExAMw/9ulzJtz7cXbapu9h0OB0dhQUQIVZVBRyoOLPubvY6+BilKwlYOtDCrKHT+2lUNFGbayIkzBPl1lLVqrM4wKWcco1lGsLXxn685Xtr58WdGHLFrWmj6UUmJDG+FA607KBiECiNJOxnXVeYdK3QIM0VqPsz//PdBfa31Pje3uBu62P+0KOJvoNx44WcfDqWtaX+RZn7SSZ3DlWZ+0rtKlaK1r/6ThBV4oFxpaff5X/k7OLfA05nkFa7kQLNdGMJxHMJwDNK3z8Fm5AO6VDQ38ecGX/1vJu2nl7ev865O303LBZ0EZtdYvAbWG9lVKbdZa96tLHnVN64s865NW8gyuPOuTtj55+gN3y4WGFujvmytyboEnWM+rrupSLgTLexgM5xEM5wByHv6mIT8v+PI9kbybVt6+zt9beXtjDpksoGq0n7b2dUKIpkvKBSFETVIuCCEckbJBiADijQaFTUBnpVQHpZQVuB34yAv5CCECh5QLQoiapFwQQjgiZYMQAaTBhzxorcuVUvcAn2NM9bJYa727HrusT3emuqb1RZ71SSt5Blee9Unb6MMF3OGFcqGh+eX71kDk3AJPsJ5XNV4uF4LlPQyG8wiGcwA5j0bjg88MvnxPJO+mlbev8/dK3g0elFEIIYQQQgghhBDBzxtDHoQQQgghhBBCCBHkpEFBCCGEEEIIIYQQHvOrBgWl1GKl1Aml1K4q60YqpXYrpWxKKafTXDhJ+7RSao9SaodS6kOlVLSb6WbZ06QrpdYopZLczbPKa1OVUlopFe9mno8ppbLseaYrpYZ6kqdSaqL9XHcrpea6mee7VfLLUEqlu5unUipNKfWdPe1mpdTlHqS9VCn1rVJqp1LqY6VUpIN0yUqpdUqpH+znNNm+PlYp9YVS6if73xg309V6HblI6/I6cpGu1uvIWdoqr7u6jpzl69a1JAxKqSFKqb1KqZ+VUn/19fE0FFflUyCr7Z4JZEqpMKXURqXUdvu5zfT1MQWiQLynndSVLus7f1TXutufOLsPlREg8Hv7dfWuMoIF+j2llFkptU0p9Yn9eUCehzf4sqzwZR3ty3rUH+q5mvdEI+aboYzvPulKqc2NnHe0Umq5/fvMj0qpXzZoBlprv1mAgUBfYFeVdd2BrsB6oJ+HaQcDIfbHfwf+7ma6yCqPJwGL3M3Tvj4ZI5DMISDezTwfA6bV8T36NbAWCLU/T3D3WKu8Ph/4mwd5rgFutD8eCqz3IO0mYJD98VhgloN0iUBf++MWwD4gFZgL/NW+/q81/6cu0tV6HblI6/I6cpGu1uvIWVo3ryNn+bp1LcmiwQj2tB/oCFiB7eff/0BfarvnA3Vxdc8E+gIooLn9sQX4HrjC18cVSEug3tNO6kqX9Z0/LnWtu/1pcXYfAv8CbrevXwRM8PWxunk+U4C3gU/szwPyPLzwvvi0rPBlHe3LetQf6rma90Qj5pvh6PN8I+X9OjDO/tgKRDfk/v2qh4LWegNwusa6H7XWe+uYdo3Wutz+9DuMeWzdSZdX5WkE4DBypaO0dv8AHqhDulo5STsBeEprXWLf5oQneSqlFHArsMyDPDVwvmdBFHDUg7RdgA32x18A/+MgXbbWeqv98TngR6ANcDPGTYH973B30rlzHblI6/I6cpGu1uvIxXlC7deRq7TCPZcDP2utD2itS4F3MK6xgFefcsafBfN1rw359qcW+yKRkz0TkPe0k/vVZX3nj+pad/sTF/fhNcBy+3q/PofzlFJtgd8Ar9ifKwLwPLzEp2WFL+toX9ajvq7nat4TTYFSKgqjAetVAK11qdY6tyHz8KsGBS8bC3zm7sZKqTlKqUxgNPA3D9LdDGRprbd7fojcY+8iv9jD7oBdgAH2Lmz/Vkr9wsN8BwDHtdY/eZDmXuBp+3s0D3jIg7S7uVBoj8T4Jd4ppVR7oA9GK2YrrXW2/aVjQCs303nERVqX11HNdJ5cR1XTenodOTjeul5LTU0bILPK8yMEyZfTpqA+97i/snfFTAdOAF9orYPm3BpJMN3Tbtd3/qiudbc/qHkfYvySnVvlx4VAua6exfhhwmZ/Hkdgnoc3BFNZUWe+qEd9XM89S/V7ojFpYI1SaotS6u5GzLcDkAMssQ/1eEUpFdGQGTSJBgWl1CNAObDU3TRa60e01sn2NPe4mU848DAeNEBU8SJwCZAGZGMMQXBXCBCL0SXvfuBf9lZod43CSe8EFyYA99nfo/uwt3q5aSzwZ6XUFoyuVqXONlRKNQfeB+6t8Ys/2ui347BV01W62jhLW9t15Cidu9dR1bT2PNy+jhzkW59rSYiAUJ973J9prSu01mkYPaEuV0r19PEhCT/gqr7zR3Wtu/1FzfsQ6ObbI/KcUmoYcEJrvcXXxyL8k6/qUV/Vc35wT1ylte4L3Aj8RSk1sJHyDcEYXvOi1roPUIAx9KzBBH2DglLqDmAYMNpeiXlqKQ665DtxCUYr0HalVAbGjbJVKdW6toRa6+P2G8wGvIxRgbnrCPCBvRvRRoxWt4uC+DmilAoBRgDvepAfwB+BD+yP38OD49Va79FaD9ZaX4bRkLHfybFZMAq6pVrr83kdV0ol2l9PxGjddCedW5ylre06ciNPp9eRg7RuX0eO8q3ntdTUZFG9h0xb+zrhx+pzjwcKe3fEdcAQHx9KoAmme7rW+s4f1bXu9kdV7sNfAtH2z0wQGNfVlcBN9s8R72AMdXiOwDsPbwmmssJj/lCP+qCeu+ieUEq91Uh5o7XOsv89AXxI430+PwIcqdITZDlGA0ODCeoGBaXUEIxuLTdprQs9SNe5ytObgT3upNNa79RaJ2it22ut22P8A/tqrY+5kWdilae/BTyJ+roCIzAjSqkuGME2TrqZ9jpgj9b6iAf5gREzYZD98TWA28MllFIJ9r8mYDpGUKCa2yiMXg8/aq2fqfLSRxiNGdj/rnQznTvH5TBtbdeRi3S1XkeO0rp7HbnItz7XUlOzCeisjKjXVuB2jGtM+Kn63OP+TinVUtlnkVFKNQOux836R1QKpnvaZX3nj+pad/sTJ/fhjxhffG6xb+bX5wCgtX5Ia93W/jniduArrfVoAuw8vCiYygqP+LIe9WU95+Se+N/GyFspFaGUanH+MUbA90b5fG7//pCplOpqX3Ut8ENDZ+I3C8av1dlAGcaXqDsxvhAdAUqA48DnHqT9GWN8VLp9cRRl31G69zH+yTuAjzEC7LmVZ43XM3Acnd9Rnm8CO+15fgQkenCeVuAt+zFvBa5x91iB14Dxdfi/XAVswYiK+z1wmQdpJ2NElN0HPAUoB+muwugSuaPK/28oxvi/LzEaMNYCsW6mq/U6cpHW5XXkIl2t15GztG5eR87ydetakqXyfRxqvxb3A4/4+nga8Lxclk+BurhzzwTqAvQGttnPbRdOZt6Rpdb3MeDuaSd1pcv6zh+Xutbd/rQ4uw8xZgPYaP9M8B72mbUCYQGu5sIsDwF7Hl54X3xWVviyjvZlPeov9VzVe6KR8uuI8Z1pO0Ysuca+3tKAzfb3fQUQ05D7V/ZMhBBCCCGEEEIIIdwW1EMehBBCCCGEEEII4R3SoCCEEEIIIYQQQgiPSYOCEEIIIYQQQgghPCYNCkIIIYQQQgghhPCYNCgIIYQQQgghhBDCY9KgIIQQQgghhBBCCI9Jg4IQQgghhBBCCCE89v+K8SAS3efklwAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 1296x288 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(18, 4))\n",
    "\n",
    "n_row = 1\n",
    "n_col = 4\n",
    "hue   = 'Attrition'\n",
    "\n",
    "#------------------------------------------------------------------------------------------\n",
    "plt.subplot(n_row, n_col, 1)\n",
    "countplot_with_perc(x='PercentSalaryHike', data=data, hue=hue);\n",
    "plt.title('Percent Salary Hike')\n",
    "plt.ylabel(None);\n",
    "plt.xlabel(None);\n",
    "\n",
    "#------------------------------------------------------------------------------------------\n",
    "plt.subplot(n_row, n_col, 2)\n",
    "countplot_with_perc(x='StockOptionLevel', data=data, hue=hue);            \n",
    "plt.title('Stock Option Level')\n",
    "plt.ylabel(None);\n",
    "plt.xlabel(None);\n",
    "\n",
    "#------------------------------------------------------------------------------------------\n",
    "plt.subplot(n_row, n_col, 3)\n",
    "histplot_continuous(x='TotalWorkingYears', data=data, hue=hue);\n",
    "plt.title('Total Working Years')\n",
    "plt.ylabel(None);\n",
    "plt.xlabel(None);\n",
    "\n",
    "#------------------------------------------------------------------------------------------\n",
    "plt.subplot(n_row, n_col, 4)\n",
    "countplot_with_perc(x='TrainingTimesLastYear', data=data, hue=hue);\n",
    "plt.title('Training Times Last Year')\n",
    "plt.ylabel(None);\n",
    "plt.xlabel(None);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Insights**\n",
    "\n",
    "* Of all the variables, none in particular is shown to be relevant (perhaps, slightly, 'Training Times Last Year')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1296x288 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(18, 4))\n",
    "\n",
    "n_row = 1\n",
    "n_col = 4\n",
    "hue   = 'Attrition'\n",
    "\n",
    "#------------------------------------------------------------------------------------------\n",
    "plt.subplot(n_row, n_col, 1)\n",
    "histplot_continuous(x='YearsAtCompany', data=data, hue=hue);\n",
    "plt.title('Years at company')\n",
    "plt.ylabel(None);\n",
    "plt.xlabel(None);\n",
    "\n",
    "#------------------------------------------------------------------------------------------\n",
    "plt.subplot(n_row, n_col, 2)\n",
    "histplot_continuous(x='YearsSinceLastPromotion', data=data, hue=hue);\n",
    "plt.title('Years since last promotion')\n",
    "plt.ylabel(None);\n",
    "plt.xlabel(None);\n",
    "\n",
    "#------------------------------------------------------------------------------------------\n",
    "plt.subplot(n_row, n_col, 3)\n",
    "histplot_continuous(x='YearsWithCurrManager', data=data, hue=hue);\n",
    "plt.title('Years with curr Manager')\n",
    "plt.ylabel(None);\n",
    "plt.xlabel(None);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Insights**\n",
    "\n",
    "* Also in this case, of all the variables, none in particular is shown to be relevant"
   ]
  }
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