EDA_CarsaleAdvertisement.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Exploratory Data Analysis Carsale Advetisement Dataset"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Table of Contents\n",
    "\n",
    "1. [Problem Statement](#section1)<br>\n",
    "2. [Data Loading and Description](#section2)\n",
    "3. [Data Profiling](#section3)\n",
    "    - * [Understanding the Dataset](#section301)<br/>\n",
    "    - * [Profiling_1](#section302)<br/>\n",
    "    - * [Preprocessing_1](#section303)<br/>\n",
    "    - * [Profiling_2](#section304)<br/>\n",
    "    - * [Preprocessing_2](#section305)<br/>\n",
    "    - * [Post Profiling](#section306)<br/>\n",
    "4. [Conclusions](#section4)<br/>  "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id=section1></a>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1. Problem Statement"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The notebooks explores the basic use of __Pandas__ and will cover the basic commands of __Exploratory Data Analysis(EDA)__ which includes __cleaning__, __munging__, __combining__, __reshaping__, __slicing__, __dicing__, and __transforming data__ for analysis purpose.\n",
    "\n",
    "* __Exploratory Data Analysis__ <br/>\n",
    "Understand the data by EDA and derive simple models with Pandas as baseline.\n",
    "EDA ia a critical and first step in analyzing the data and we do this for below reasons :\n",
    "    - Finding patterns in Data\n",
    "    - Determining relationships in Data\n",
    "    - Checking of assumptions\n",
    "    - Preliminary selection of appropriate models\n",
    "    - Detection of mistakes \n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id=section2></a>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2. Data Loading and Description"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id=section201></a>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_cell_guid": "e4a1cf77-b695-4ca0-9653-6c41ce2393d8",
    "_uuid": "ca91678a9dc8cc103a7fbf799a5d903a011334ef"
   },
   "source": [
    "- The dataset consists information collected from car sale advertisements for study/practice purpose where most of them're used cars.\n",
    "- The dataset comprises of __9576 observations of 10 columns__. Below is a table showing names of all the columns and their description."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "<table>\n",
    "<thead>\n",
    "    <style>\n",
    "td {\n",
    "  text-align: center;\n",
    "}\n",
    "</style>\n",
    "<tr>\n",
    "<th>Column Name</th>\n",
    "<th>Description</th>\n",
    "</tr>\n",
    "</thead>\n",
    "<tbody><tr>\n",
    "<td>car</td>\n",
    "<td>Manufacturer brand</td>\n",
    "</tr>\n",
    "<tr>\n",
    "<td>price</td>\n",
    "<td>Seller’s price in advertisement (in USD)</td>\n",
    "</tr>\n",
    "<tr>\n",
    "<td>body</td>\n",
    "<td>Car body type</td>\n",
    "</tr>\n",
    "<tr>\n",
    "<td>mileage</td>\n",
    "<td>as mentioned in advertisement (‘000 Km)</td>\n",
    "</tr>\n",
    "<tr>\n",
    "<td>engV</td>\n",
    "<td>rounded engine volume (‘000 cubic cm)</td>\n",
    "</tr>\n",
    "<tr>\n",
    "<td>engType</td>\n",
    "<td>type of fuel (“Other” in this case should be treated as NA)</td>\n",
    "</tr>\n",
    "<tr>\n",
    "<td>registration</td>\n",
    "<td>whether car registered in Ukraine or not</td>\n",
    "</tr>\n",
    "<tr>\n",
    "<td>year</td>\n",
    "<td>year of production</td>\n",
    "</tr>\n",
    "<tr>\n",
    "<td>model</td>\n",
    "<td>specific model name</td>\n",
    "</tr>\n",
    "<tr>\n",
    "<td>drive</td>\n",
    "<td>drive type</td>\n",
    "</tr>\n",
    "</tbody></table>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Some Background Information\n",
    " - This data was collected from private car sale advertisements in Ukraine and provided by INSAID team to perform Exploratory Data Analysis.\n",
    " - This dataset has real raw data which has all inconvenient moments (as NA’s for example).\n",
    " - This dataset contains data for more than 9.5K cars sale in Ukraine. Most of them are used cars so it opens the possibility to analyze features related to car operation."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_cell_guid": "998b2a03-c60e-4fd6-9f69-784de6e6c9b8",
    "_uuid": "d3086cb02907affe5a674b54e4baaedd632482c7"
   },
   "source": [
    "#### Importing packages                                          "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "_cell_guid": "872b97b2-56fe-4644-a11f-afb00f422169",
    "_uuid": "efb595c75201cdb2a53388dc152a8e526e1b921a"
   },
   "outputs": [],
   "source": [
    "import numpy as np                                                 # Implemennts milti-dimensional array and matrices\n",
    "import pandas as pd                                                # For data manipulation and analysis\n",
    "import pandas_profiling\n",
    "import matplotlib.pyplot as plt                                    # Plotting library for Python programming language and it's numerical mathematics extension NumPy\n",
    "import seaborn as sns                                              # Provides a high level interface for drawing attractive and informative statistical graphics\n",
    "%matplotlib inline\n",
    "sns.set()\n",
    "\n",
    "from subprocess import check_output\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Importing the Dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "metadata": {
    "_cell_guid": "080fb327-390d-4124-b287-a561d050fe7e",
    "_uuid": "0333d5086a63e3870708e7ba7a540d036c53544e"
   },
   "outputs": [],
   "source": [
    "#If you get UnicodeDecodeError - 'utf8' codec can't decode, invalid continuation byte error, either use engine='python'\n",
    "#or encoding='latin-1' options\n",
    "carsale = pd.read_csv(\"https://raw.githubusercontent.com/insaid2018/Term-1/master/Data/Projects/car_sales.csv\", engine='python', encoding='latin-1')     # Importing car_sale dataset using pd.read_csv"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id=section3></a>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_cell_guid": "6c7d2500-95b1-4057-98f7-39100e8a6d7f",
    "_uuid": "13fd8422db7a1ceae9ebb002df452e8293a9ab0c"
   },
   "source": [
    "## 3. Data Profiling"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id=section301></a>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3.1 Understanding the Carsale Dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(9576, 10)"
      ]
     },
     "execution_count": 126,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "carsale.shape    # This will print the number of rows and comlumns of the Data Frame"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "__Carsale Dataset__  has __9576 rows__ and __10 columns.__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['car', 'price', 'body', 'mileage', 'engV', 'engType', 'registration',\n",
       "       'year', 'model', 'drive'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 127,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "carsale.columns  # This will print the names of all columns."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>car</th>\n",
       "      <th>price</th>\n",
       "      <th>body</th>\n",
       "      <th>mileage</th>\n",
       "      <th>engV</th>\n",
       "      <th>engType</th>\n",
       "      <th>registration</th>\n",
       "      <th>year</th>\n",
       "      <th>model</th>\n",
       "      <th>drive</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Ford</td>\n",
       "      <td>15500.0</td>\n",
       "      <td>crossover</td>\n",
       "      <td>68</td>\n",
       "      <td>2.5</td>\n",
       "      <td>Gas</td>\n",
       "      <td>yes</td>\n",
       "      <td>2010</td>\n",
       "      <td>Kuga</td>\n",
       "      <td>full</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Mercedes-Benz</td>\n",
       "      <td>20500.0</td>\n",
       "      <td>sedan</td>\n",
       "      <td>173</td>\n",
       "      <td>1.8</td>\n",
       "      <td>Gas</td>\n",
       "      <td>yes</td>\n",
       "      <td>2011</td>\n",
       "      <td>E-Class</td>\n",
       "      <td>rear</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Mercedes-Benz</td>\n",
       "      <td>35000.0</td>\n",
       "      <td>other</td>\n",
       "      <td>135</td>\n",
       "      <td>5.5</td>\n",
       "      <td>Petrol</td>\n",
       "      <td>yes</td>\n",
       "      <td>2008</td>\n",
       "      <td>CL 550</td>\n",
       "      <td>rear</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Mercedes-Benz</td>\n",
       "      <td>17800.0</td>\n",
       "      <td>van</td>\n",
       "      <td>162</td>\n",
       "      <td>1.8</td>\n",
       "      <td>Diesel</td>\n",
       "      <td>yes</td>\n",
       "      <td>2012</td>\n",
       "      <td>B 180</td>\n",
       "      <td>front</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Mercedes-Benz</td>\n",
       "      <td>33000.0</td>\n",
       "      <td>vagon</td>\n",
       "      <td>91</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Other</td>\n",
       "      <td>yes</td>\n",
       "      <td>2013</td>\n",
       "      <td>E-Class</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             car    price       body  mileage  engV engType registration  \\\n",
       "0           Ford  15500.0  crossover       68   2.5     Gas          yes   \n",
       "1  Mercedes-Benz  20500.0      sedan      173   1.8     Gas          yes   \n",
       "2  Mercedes-Benz  35000.0      other      135   5.5  Petrol          yes   \n",
       "3  Mercedes-Benz  17800.0        van      162   1.8  Diesel          yes   \n",
       "4  Mercedes-Benz  33000.0      vagon       91   NaN   Other          yes   \n",
       "\n",
       "   year    model  drive  \n",
       "0  2010     Kuga   full  \n",
       "1  2011  E-Class   rear  \n",
       "2  2008   CL 550   rear  \n",
       "3  2012    B 180  front  \n",
       "4  2013  E-Class    NaN  "
      ]
     },
     "execution_count": 128,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "carsale.head()   # Will give you first 5 records"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>car</th>\n",
       "      <th>price</th>\n",
       "      <th>body</th>\n",
       "      <th>mileage</th>\n",
       "      <th>engV</th>\n",
       "      <th>engType</th>\n",
       "      <th>registration</th>\n",
       "      <th>year</th>\n",
       "      <th>model</th>\n",
       "      <th>drive</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>9571</th>\n",
       "      <td>Hyundai</td>\n",
       "      <td>14500.0</td>\n",
       "      <td>crossover</td>\n",
       "      <td>140</td>\n",
       "      <td>2.0</td>\n",
       "      <td>Gas</td>\n",
       "      <td>yes</td>\n",
       "      <td>2011</td>\n",
       "      <td>Tucson</td>\n",
       "      <td>front</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9572</th>\n",
       "      <td>Volkswagen</td>\n",
       "      <td>2200.0</td>\n",
       "      <td>vagon</td>\n",
       "      <td>150</td>\n",
       "      <td>1.6</td>\n",
       "      <td>Petrol</td>\n",
       "      <td>yes</td>\n",
       "      <td>1986</td>\n",
       "      <td>Passat B2</td>\n",
       "      <td>front</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9573</th>\n",
       "      <td>Mercedes-Benz</td>\n",
       "      <td>18500.0</td>\n",
       "      <td>crossover</td>\n",
       "      <td>180</td>\n",
       "      <td>3.5</td>\n",
       "      <td>Petrol</td>\n",
       "      <td>yes</td>\n",
       "      <td>2008</td>\n",
       "      <td>ML 350</td>\n",
       "      <td>full</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9574</th>\n",
       "      <td>Lexus</td>\n",
       "      <td>16999.0</td>\n",
       "      <td>sedan</td>\n",
       "      <td>150</td>\n",
       "      <td>3.5</td>\n",
       "      <td>Gas</td>\n",
       "      <td>yes</td>\n",
       "      <td>2008</td>\n",
       "      <td>ES 350</td>\n",
       "      <td>front</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9575</th>\n",
       "      <td>Audi</td>\n",
       "      <td>22500.0</td>\n",
       "      <td>other</td>\n",
       "      <td>71</td>\n",
       "      <td>3.6</td>\n",
       "      <td>Petrol</td>\n",
       "      <td>yes</td>\n",
       "      <td>2007</td>\n",
       "      <td>Q7</td>\n",
       "      <td>full</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                car    price       body  mileage  engV engType registration  \\\n",
       "9571        Hyundai  14500.0  crossover      140   2.0     Gas          yes   \n",
       "9572     Volkswagen   2200.0      vagon      150   1.6  Petrol          yes   \n",
       "9573  Mercedes-Benz  18500.0  crossover      180   3.5  Petrol          yes   \n",
       "9574          Lexus  16999.0      sedan      150   3.5     Gas          yes   \n",
       "9575           Audi  22500.0      other       71   3.6  Petrol          yes   \n",
       "\n",
       "      year      model  drive  \n",
       "9571  2011     Tucson  front  \n",
       "9572  1986  Passat B2  front  \n",
       "9573  2008     ML 350   full  \n",
       "9574  2008     ES 350  front  \n",
       "9575  2007         Q7   full  "
      ]
     },
     "execution_count": 129,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "carsale.tail()   # This will print the last n rows of the Data Frame"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 9576 entries, 0 to 9575\n",
      "Data columns (total 10 columns):\n",
      "car             9576 non-null object\n",
      "price           9576 non-null float64\n",
      "body            9576 non-null object\n",
      "mileage         9576 non-null int64\n",
      "engV            9142 non-null float64\n",
      "engType         9576 non-null object\n",
      "registration    9576 non-null object\n",
      "year            9576 non-null int64\n",
      "model           9576 non-null object\n",
      "drive           9065 non-null object\n",
      "dtypes: float64(2), int64(2), object(6)\n",
      "memory usage: 748.2+ KB\n"
     ]
    }
   ],
   "source": [
    "carsale.info() # This will give Index, Datatype and Memory information"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
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       "      <th></th>\n",
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       "      <th>mileage</th>\n",
       "      <th>engV</th>\n",
       "      <th>year</th>\n",
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       "      <th>count</th>\n",
       "      <td>9576.000000</td>\n",
       "      <td>9576.000000</td>\n",
       "      <td>9142.000000</td>\n",
       "      <td>9576.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>15633.317316</td>\n",
       "      <td>138.862364</td>\n",
       "      <td>2.646344</td>\n",
       "      <td>2006.605994</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>24106.523436</td>\n",
       "      <td>98.629754</td>\n",
       "      <td>5.927699</td>\n",
       "      <td>7.067924</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.100000</td>\n",
       "      <td>1953.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>4999.000000</td>\n",
       "      <td>70.000000</td>\n",
       "      <td>1.600000</td>\n",
       "      <td>2004.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>9200.000000</td>\n",
       "      <td>128.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2008.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>16700.000000</td>\n",
       "      <td>194.000000</td>\n",
       "      <td>2.500000</td>\n",
       "      <td>2012.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>547800.000000</td>\n",
       "      <td>999.000000</td>\n",
       "      <td>99.990000</td>\n",
       "      <td>2016.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               price      mileage         engV         year\n",
       "count    9576.000000  9576.000000  9142.000000  9576.000000\n",
       "mean    15633.317316   138.862364     2.646344  2006.605994\n",
       "std     24106.523436    98.629754     5.927699     7.067924\n",
       "min         0.000000     0.000000     0.100000  1953.000000\n",
       "25%      4999.000000    70.000000     1.600000  2004.000000\n",
       "50%      9200.000000   128.000000     2.000000  2008.000000\n",
       "75%     16700.000000   194.000000     2.500000  2012.000000\n",
       "max    547800.000000   999.000000    99.990000  2016.000000"
      ]
     },
     "execution_count": 131,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Use include='all' option to generate descriptive statistics for all columns\n",
    "# You can get idea about which column has missing values using this\n",
    "carsale.describe() "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- We can see all numeric columns having count __9576__ except __engV__. Looks like this column has some missing values\n",
    "- __price__ and __mileage__ has __min__ value as __Zero__ which is not possible. We need to look into to replace them as __NaN__ to make them null values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "car               0\n",
       "price             0\n",
       "body              0\n",
       "mileage           0\n",
       "engV            434\n",
       "engType           0\n",
       "registration      0\n",
       "year              0\n",
       "model             0\n",
       "drive           511\n",
       "dtype: int64"
      ]
     },
     "execution_count": 132,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "carsale.isnull().sum() # Will show you null count for each column, but will not count Zeros(0) as null"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- We can see that __engV__ and __drive__ columns contains __maximum null values__. But it didn't consider __0__ as missing value, so we have to figure out how to deal with this as mentioned above too."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id=section302></a>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id=section302></a>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### * Profiling_1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "metadata": {},
   "outputs": [],
   "source": [
    "profile = pandas_profiling.ProfileReport(carsale)\n",
    "profile.to_file(outputfile=\"carsale_before_preprocessing_1.html\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- I have done Pandas Profiling before preprocessing dataset, so we can get initial observations from the dataset in better visual aspects, to find correlation matrix and sample data. File was saved as html file __carsale_before_preprocessing_1.html__.\n",
    "\n",
    "- Will take a look at the file and see what useful insight you can develop from it. <br/>\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Initial observation as a result from profiling of __Carsale Dataset__ can be seen in  __carsale_before_preprocessing_1.html__\n",
    "![title](warning.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id=section303></a>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### * Preprocessing_1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- __engType__ column has __\"Other\"__ values as well, So as mentioned above in data description, we should treat them as NA. So we'll be replacing those to __NaN__\n",
    "- __price__ has __267__ zeros which should be treated as missing values. So we'll be replacing those to __NaN__\n",
    "- __mileage__ has __348__ zeros which should be treated as missing values. So we'll be replacing those to __NaN__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "metadata": {},
   "outputs": [],
   "source": [
    "carsale.replace({'engType': 'Other', 'price': 0, 'mileage': 0}, np.nan, inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id=section304></a>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### * Profiling_2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Let see what are the changes after __Preprocessing_1__ in initial observations from profiling"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 135,
   "metadata": {},
   "outputs": [],
   "source": [
    "profile = pandas_profiling.ProfileReport(carsale)\n",
    "profile.to_file(outputfile=\"carsale_before_preprocessing_2.html\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Initial observation as a result from profiling of Carsale Dataset can be seen in __carsale_before_preprocessing_2.html__\n",
    "![title](warning2.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id=section305></a>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### * Preprocessing_2\n",
    "<br>\n",
    "Now we will deal with handling duplicates and missing values"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- __duplicates__: As there are __113__ duplicate rows in dataset, we have to remove those first."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(9463, 10)"
      ]
     },
     "execution_count": 136,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "carsale.drop_duplicates(inplace=True) #inplace used to modify the dataset with applied command\n",
    "carsale.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### *  Handling numerical data\n",
    "- __price__: Replacing missing values now for __price__ column based on __[car,model]__ group product and __median__ value of __price__ based on this group. \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>car</th>\n",
       "      <th>model</th>\n",
       "      <th>price_med</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Acura</td>\n",
       "      <td>MDX</td>\n",
       "      <td>17200.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Acura</td>\n",
       "      <td>RL</td>\n",
       "      <td>13950.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Acura</td>\n",
       "      <td>TL</td>\n",
       "      <td>8699.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Acura</td>\n",
       "      <td>TLX</td>\n",
       "      <td>38200.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Acura</td>\n",
       "      <td>ZDX</td>\n",
       "      <td>30999.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     car model  price_med\n",
       "0  Acura   MDX    17200.0\n",
       "1  Acura    RL    13950.0\n",
       "2  Acura    TL     8699.0\n",
       "3  Acura   TLX    38200.0\n",
       "4  Acura   ZDX    30999.0"
      ]
     },
     "execution_count": 137,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def get_median_price(x):\n",
    "    brand = x.name[0]\n",
    "    if x.count() > 0:\n",
    "        return x.median() # Return median for a brand/model if the median exists.\n",
    "    elif carsale.groupby(['car'])['price'].count()[brand] > 0:\n",
    "        brand_median = carsale.groupby(['car'])['price'].apply(lambda x: x.median())[brand]\n",
    "        return brand_median # Return median of brand if particular brand/model combo has no median,\n",
    "    else:                 # but brand itself has a median for the 'price' feature. \n",
    "        return carsale['price'].median() # Otherwise return dataset's median for the 'price' feature.\n",
    "    \n",
    "price_median = carsale.groupby(['car','model'])['price'].apply(get_median_price).reset_index()\n",
    "price_median.rename(columns={'price': 'price_med'}, inplace=True)\n",
    "price_median.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 142,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>car</th>\n",
       "      <th>price</th>\n",
       "      <th>body</th>\n",
       "      <th>mileage</th>\n",
       "      <th>engV</th>\n",
       "      <th>engType</th>\n",
       "      <th>registration</th>\n",
       "      <th>year</th>\n",
       "      <th>model</th>\n",
       "      <th>drive</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Ford</td>\n",
       "      <td>15500.0</td>\n",
       "      <td>crossover</td>\n",
       "      <td>68.0</td>\n",
       "      <td>2.5</td>\n",
       "      <td>Gas</td>\n",
       "      <td>yes</td>\n",
       "      <td>2010</td>\n",
       "      <td>Kuga</td>\n",
       "      <td>full</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Mercedes-Benz</td>\n",
       "      <td>20500.0</td>\n",
       "      <td>sedan</td>\n",
       "      <td>173.0</td>\n",
       "      <td>1.8</td>\n",
       "      <td>Gas</td>\n",
       "      <td>yes</td>\n",
       "      <td>2011</td>\n",
       "      <td>E-Class</td>\n",
       "      <td>rear</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Mercedes-Benz</td>\n",
       "      <td>35000.0</td>\n",
       "      <td>other</td>\n",
       "      <td>135.0</td>\n",
       "      <td>5.5</td>\n",
       "      <td>Petrol</td>\n",
       "      <td>yes</td>\n",
       "      <td>2008</td>\n",
       "      <td>CL 550</td>\n",
       "      <td>rear</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Mercedes-Benz</td>\n",
       "      <td>17800.0</td>\n",
       "      <td>van</td>\n",
       "      <td>162.0</td>\n",
       "      <td>1.8</td>\n",
       "      <td>Diesel</td>\n",
       "      <td>yes</td>\n",
       "      <td>2012</td>\n",
       "      <td>B 180</td>\n",
       "      <td>front</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Mercedes-Benz</td>\n",
       "      <td>33000.0</td>\n",
       "      <td>vagon</td>\n",
       "      <td>91.0</td>\n",
       "      <td>2.6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>yes</td>\n",
       "      <td>2013</td>\n",
       "      <td>E-Class</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             car    price       body  mileage  engV engType registration  \\\n",
       "0           Ford  15500.0  crossover     68.0   2.5     Gas          yes   \n",
       "1  Mercedes-Benz  20500.0      sedan    173.0   1.8     Gas          yes   \n",
       "2  Mercedes-Benz  35000.0      other    135.0   5.5  Petrol          yes   \n",
       "3  Mercedes-Benz  17800.0        van    162.0   1.8  Diesel          yes   \n",
       "4  Mercedes-Benz  33000.0      vagon     91.0   2.6     NaN          yes   \n",
       "\n",
       "   year    model  drive  \n",
       "0  2010     Kuga   full  \n",
       "1  2011  E-Class   rear  \n",
       "2  2008   CL 550   rear  \n",
       "3  2012    B 180  front  \n",
       "4  2013  E-Class    NaN  "
      ]
     },
     "execution_count": 142,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def fill_with_median(x):\n",
    "    if pd.isnull(x['price']):\n",
    "        return price_median[(price_median['car'] == x['car']) & (price_median['model'] == x['model'])]['price_med'].values[0]\n",
    "    else:\n",
    "        return x['price']\n",
    "    \n",
    "carsale['price'] = carsale.apply(fill_with_median, axis=1)\n",
    "carsale.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- __engV__: Replacing missing values now for __engV__ column based on __[car,model]__ group product and __median__ value of __engV__ based on this group. \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 143,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>car</th>\n",
       "      <th>model</th>\n",
       "      <th>engV_med</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Acura</td>\n",
       "      <td>MDX</td>\n",
       "      <td>3.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Acura</td>\n",
       "      <td>RL</td>\n",
       "      <td>3.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Acura</td>\n",
       "      <td>TL</td>\n",
       "      <td>3.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Acura</td>\n",
       "      <td>TLX</td>\n",
       "      <td>2.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Acura</td>\n",
       "      <td>ZDX</td>\n",
       "      <td>3.7</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     car model  engV_med\n",
       "0  Acura   MDX       3.7\n",
       "1  Acura    RL       3.5\n",
       "2  Acura    TL       3.2\n",
       "3  Acura   TLX       2.4\n",
       "4  Acura   ZDX       3.7"
      ]
     },
     "execution_count": 143,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def get_median_engV(x):\n",
    "    brand = x.name[0]\n",
    "    if x.count() > 0:\n",
    "        return x.median() # Return median for a brand/model if the median exists.\n",
    "    elif carsale.groupby(['car'])['engV'].count()[brand] > 0:\n",
    "        brand_median = carsale.groupby(['car'])['engV'].apply(lambda x: x.median())[brand]\n",
    "        return brand_median # Return median of brand if particular brand/model combo has no median,\n",
    "    else:                 # but brand itself has a median for the 'engV' feature. \n",
    "        return carsale['engV'].median() # Otherwise return dataset's median for the 'engV' feature.\n",
    "    \n",
    "engV_median = carsale.groupby(['car','model'])['engV'].apply(get_median_engV).reset_index()\n",
    "engV_median.rename(columns={'engV': 'engV_med'}, inplace=True)\n",
    "engV_median.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 144,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>car</th>\n",
       "      <th>price</th>\n",
       "      <th>body</th>\n",
       "      <th>mileage</th>\n",
       "      <th>engV</th>\n",
       "      <th>engType</th>\n",
       "      <th>registration</th>\n",
       "      <th>year</th>\n",
       "      <th>model</th>\n",
       "      <th>drive</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Ford</td>\n",
       "      <td>15500.0</td>\n",
       "      <td>crossover</td>\n",
       "      <td>68.0</td>\n",
       "      <td>2.5</td>\n",
       "      <td>Gas</td>\n",
       "      <td>yes</td>\n",
       "      <td>2010</td>\n",
       "      <td>Kuga</td>\n",
       "      <td>full</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Mercedes-Benz</td>\n",
       "      <td>20500.0</td>\n",
       "      <td>sedan</td>\n",
       "      <td>173.0</td>\n",
       "      <td>1.8</td>\n",
       "      <td>Gas</td>\n",
       "      <td>yes</td>\n",
       "      <td>2011</td>\n",
       "      <td>E-Class</td>\n",
       "      <td>rear</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Mercedes-Benz</td>\n",
       "      <td>35000.0</td>\n",
       "      <td>other</td>\n",
       "      <td>135.0</td>\n",
       "      <td>5.5</td>\n",
       "      <td>Petrol</td>\n",
       "      <td>yes</td>\n",
       "      <td>2008</td>\n",
       "      <td>CL 550</td>\n",
       "      <td>rear</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Mercedes-Benz</td>\n",
       "      <td>17800.0</td>\n",
       "      <td>van</td>\n",
       "      <td>162.0</td>\n",
       "      <td>1.8</td>\n",
       "      <td>Diesel</td>\n",
       "      <td>yes</td>\n",
       "      <td>2012</td>\n",
       "      <td>B 180</td>\n",
       "      <td>front</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Mercedes-Benz</td>\n",
       "      <td>33000.0</td>\n",
       "      <td>vagon</td>\n",
       "      <td>91.0</td>\n",
       "      <td>2.6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>yes</td>\n",
       "      <td>2013</td>\n",
       "      <td>E-Class</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             car    price       body  mileage  engV engType registration  \\\n",
       "0           Ford  15500.0  crossover     68.0   2.5     Gas          yes   \n",
       "1  Mercedes-Benz  20500.0      sedan    173.0   1.8     Gas          yes   \n",
       "2  Mercedes-Benz  35000.0      other    135.0   5.5  Petrol          yes   \n",
       "3  Mercedes-Benz  17800.0        van    162.0   1.8  Diesel          yes   \n",
       "4  Mercedes-Benz  33000.0      vagon     91.0   2.6     NaN          yes   \n",
       "\n",
       "   year    model  drive  \n",
       "0  2010     Kuga   full  \n",
       "1  2011  E-Class   rear  \n",
       "2  2008   CL 550   rear  \n",
       "3  2012    B 180  front  \n",
       "4  2013  E-Class    NaN  "
      ]
     },
     "execution_count": 144,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def fill_with_median(x):\n",
    "    if pd.isnull(x['engV']):\n",
    "        return engV_median[(engV_median['car'] == x['car']) & (engV_median['model'] == x['model'])]['engV_med'].values[0]\n",
    "    else:\n",
    "        return x['engV']\n",
    "    \n",
    "carsale['engV'] = carsale.apply(fill_with_median, axis=1)\n",
    "carsale.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- __mileage__: Replacing missing values now for __mileage__ column based on __[car,model,year]__ group product and __median__ value of __mileage__ based on this group. Year has been included here as per data observations year to year mileage is getting down for the same Car/Brand combination."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 145,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>car</th>\n",
       "      <th>model</th>\n",
       "      <th>mileage_med</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Acura</td>\n",
       "      <td>MDX</td>\n",
       "      <td>85.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Acura</td>\n",
       "      <td>RL</td>\n",
       "      <td>138.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Acura</td>\n",
       "      <td>TL</td>\n",
       "      <td>145.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Acura</td>\n",
       "      <td>TLX</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Acura</td>\n",
       "      <td>ZDX</td>\n",
       "      <td>32.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     car model  mileage_med\n",
       "0  Acura   MDX         85.0\n",
       "1  Acura    RL        138.0\n",
       "2  Acura    TL        145.0\n",
       "3  Acura   TLX          4.0\n",
       "4  Acura   ZDX         32.0"
      ]
     },
     "execution_count": 145,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def get_median_mileage(x):\n",
    "    brand = x.name[0]\n",
    "    if x.count() > 0:\n",
    "        return x.median() # Return median for a brand/model if the median exists.\n",
    "    elif carsale.groupby(['car'])['mileage'].count()[brand] > 0:\n",
    "        brand_median = carsale.groupby(['car'])['mileage'].apply(lambda x: x.median())[brand]\n",
    "        return brand_median # Return median of brand if particular brand/model combo has no median,\n",
    "    else:                 # but brand itself has a median for the 'mileage' feature. \n",
    "        return carsale['mileage'].median() # Otherwise return dataset's median for the 'mileage' feature.\n",
    "    \n",
    "mileage_median = carsale.groupby(['car','model'])['mileage'].apply(get_median_mileage).reset_index()\n",
    "mileage_median.rename(columns={'mileage': 'mileage_med'}, inplace=True)\n",
    "mileage_median.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 146,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>car</th>\n",
       "      <th>price</th>\n",
       "      <th>body</th>\n",
       "      <th>mileage</th>\n",
       "      <th>engV</th>\n",
       "      <th>engType</th>\n",
       "      <th>registration</th>\n",
       "      <th>year</th>\n",
       "      <th>model</th>\n",
       "      <th>drive</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Ford</td>\n",
       "      <td>15500.0</td>\n",
       "      <td>crossover</td>\n",
       "      <td>68.0</td>\n",
       "      <td>2.5</td>\n",
       "      <td>Gas</td>\n",
       "      <td>yes</td>\n",
       "      <td>2010</td>\n",
       "      <td>Kuga</td>\n",
       "      <td>full</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Mercedes-Benz</td>\n",
       "      <td>20500.0</td>\n",
       "      <td>sedan</td>\n",
       "      <td>173.0</td>\n",
       "      <td>1.8</td>\n",
       "      <td>Gas</td>\n",
       "      <td>yes</td>\n",
       "      <td>2011</td>\n",
       "      <td>E-Class</td>\n",
       "      <td>rear</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Mercedes-Benz</td>\n",
       "      <td>35000.0</td>\n",
       "      <td>other</td>\n",
       "      <td>135.0</td>\n",
       "      <td>5.5</td>\n",
       "      <td>Petrol</td>\n",
       "      <td>yes</td>\n",
       "      <td>2008</td>\n",
       "      <td>CL 550</td>\n",
       "      <td>rear</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Mercedes-Benz</td>\n",
       "      <td>17800.0</td>\n",
       "      <td>van</td>\n",
       "      <td>162.0</td>\n",
       "      <td>1.8</td>\n",
       "      <td>Diesel</td>\n",
       "      <td>yes</td>\n",
       "      <td>2012</td>\n",
       "      <td>B 180</td>\n",
       "      <td>front</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Mercedes-Benz</td>\n",
       "      <td>33000.0</td>\n",
       "      <td>vagon</td>\n",
       "      <td>91.0</td>\n",
       "      <td>2.6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>yes</td>\n",
       "      <td>2013</td>\n",
       "      <td>E-Class</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             car    price       body  mileage  engV engType registration  \\\n",
       "0           Ford  15500.0  crossover     68.0   2.5     Gas          yes   \n",
       "1  Mercedes-Benz  20500.0      sedan    173.0   1.8     Gas          yes   \n",
       "2  Mercedes-Benz  35000.0      other    135.0   5.5  Petrol          yes   \n",
       "3  Mercedes-Benz  17800.0        van    162.0   1.8  Diesel          yes   \n",
       "4  Mercedes-Benz  33000.0      vagon     91.0   2.6     NaN          yes   \n",
       "\n",
       "   year    model  drive  \n",
       "0  2010     Kuga   full  \n",
       "1  2011  E-Class   rear  \n",
       "2  2008   CL 550   rear  \n",
       "3  2012    B 180  front  \n",
       "4  2013  E-Class    NaN  "
      ]
     },
     "execution_count": 146,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def fill_with_median(x):\n",
    "    if pd.isnull(x['mileage']):\n",
    "        return mileage_median[(mileage_median['car'] == x['car']) & (mileage_median['model'] == x['model'])]['mileage_med'].values[0]\n",
    "    else:\n",
    "        return x['mileage']\n",
    "    \n",
    "carsale['mileage'] = carsale.apply(fill_with_median, axis=1)\n",
    "carsale.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### *  Handling categorical data\n",
    "- __drive__: Replacing missing values now for __drive__ column based on __[car,model]__ group product and __mode__ value of __drive__ based on this group. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 147,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>car</th>\n",
       "      <th>model</th>\n",
       "      <th>drive_mode</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Acura</td>\n",
       "      <td>MDX</td>\n",
       "      <td>full</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Acura</td>\n",
       "      <td>RL</td>\n",
       "      <td>full</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Acura</td>\n",
       "      <td>TL</td>\n",
       "      <td>front</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Acura</td>\n",
       "      <td>TLX</td>\n",
       "      <td>front</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Acura</td>\n",
       "      <td>ZDX</td>\n",
       "      <td>full</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     car model drive_mode\n",
       "0  Acura   MDX       full\n",
       "1  Acura    RL       full\n",
       "2  Acura    TL      front\n",
       "3  Acura   TLX      front\n",
       "4  Acura   ZDX       full"
      ]
     },
     "execution_count": 147,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def get_drive_mode(x):\n",
    "    brand = x.name[0]\n",
    "    if x.count() > 0:\n",
    "        return x.mode() # Return mode for a brand/model if the mode exists.\n",
    "    elif carsale.groupby(['car'])['drive'].count()[brand] > 0:\n",
    "        brand_mode = carsale.groupby(['car'])['drive'].apply(lambda x: x.mode())[brand]\n",
    "        return brand_mode # Return mode of brand if particular brand/model combo has no mode,\n",
    "    else:                 # but brand itself has a mode for the 'drive' feature. \n",
    "        return carsale['drive'].mode() # Otherwise return dataset's mode for the 'drive' feature.\n",
    "    \n",
    "drive_modes = carsale.groupby(['car','model'])['drive'].apply(get_drive_mode).reset_index().drop('level_2', axis=1)\n",
    "drive_modes.rename(columns={'drive': 'drive_mode'}, inplace=True)\n",
    "drive_modes.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 148,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>car</th>\n",
       "      <th>price</th>\n",
       "      <th>body</th>\n",
       "      <th>mileage</th>\n",
       "      <th>engV</th>\n",
       "      <th>engType</th>\n",
       "      <th>registration</th>\n",
       "      <th>year</th>\n",
       "      <th>model</th>\n",
       "      <th>drive</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Ford</td>\n",
       "      <td>15500.0</td>\n",
       "      <td>crossover</td>\n",
       "      <td>68.0</td>\n",
       "      <td>2.5</td>\n",
       "      <td>Gas</td>\n",
       "      <td>yes</td>\n",
       "      <td>2010</td>\n",
       "      <td>Kuga</td>\n",
       "      <td>full</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Mercedes-Benz</td>\n",
       "      <td>20500.0</td>\n",
       "      <td>sedan</td>\n",
       "      <td>173.0</td>\n",
       "      <td>1.8</td>\n",
       "      <td>Gas</td>\n",
       "      <td>yes</td>\n",
       "      <td>2011</td>\n",
       "      <td>E-Class</td>\n",
       "      <td>rear</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Mercedes-Benz</td>\n",
       "      <td>35000.0</td>\n",
       "      <td>other</td>\n",
       "      <td>135.0</td>\n",
       "      <td>5.5</td>\n",
       "      <td>Petrol</td>\n",
       "      <td>yes</td>\n",
       "      <td>2008</td>\n",
       "      <td>CL 550</td>\n",
       "      <td>rear</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Mercedes-Benz</td>\n",
       "      <td>17800.0</td>\n",
       "      <td>van</td>\n",
       "      <td>162.0</td>\n",
       "      <td>1.8</td>\n",
       "      <td>Diesel</td>\n",
       "      <td>yes</td>\n",
       "      <td>2012</td>\n",
       "      <td>B 180</td>\n",
       "      <td>front</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Mercedes-Benz</td>\n",
       "      <td>33000.0</td>\n",
       "      <td>vagon</td>\n",
       "      <td>91.0</td>\n",
       "      <td>2.6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>yes</td>\n",
       "      <td>2013</td>\n",
       "      <td>E-Class</td>\n",
       "      <td>rear</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             car    price       body  mileage  engV engType registration  \\\n",
       "0           Ford  15500.0  crossover     68.0   2.5     Gas          yes   \n",
       "1  Mercedes-Benz  20500.0      sedan    173.0   1.8     Gas          yes   \n",
       "2  Mercedes-Benz  35000.0      other    135.0   5.5  Petrol          yes   \n",
       "3  Mercedes-Benz  17800.0        van    162.0   1.8  Diesel          yes   \n",
       "4  Mercedes-Benz  33000.0      vagon     91.0   2.6     NaN          yes   \n",
       "\n",
       "   year    model  drive  \n",
       "0  2010     Kuga   full  \n",
       "1  2011  E-Class   rear  \n",
       "2  2008   CL 550   rear  \n",
       "3  2012    B 180  front  \n",
       "4  2013  E-Class   rear  "
      ]
     },
     "execution_count": 148,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def fill_with_mode(x):\n",
    "    if pd.isnull(x['drive']):\n",
    "        return drive_modes[(drive_modes['car'] == x['car']) & (drive_modes['model'] == x['model'])]['drive_mode'].values[0]\n",
    "    else:\n",
    "        return x['drive']\n",
    "    \n",
    "carsale['drive'] = carsale.apply(fill_with_mode, axis=1)\n",
    "carsale.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- __engType__: Replacing missing values now for __engType__ column based on __[car,model]__ group product and __mode__ value of __engType__ based on this group. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 149,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe thead th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>car</th>\n",
       "      <th>model</th>\n",
       "      <th>engType_mode</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Acura</td>\n",
       "      <td>MDX</td>\n",
       "      <td>Petrol</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Acura</td>\n",
       "      <td>RL</td>\n",
       "      <td>Gas</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Acura</td>\n",
       "      <td>TL</td>\n",
       "      <td>Gas</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Acura</td>\n",
       "      <td>TLX</td>\n",
       "      <td>Petrol</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Acura</td>\n",
       "      <td>ZDX</td>\n",
       "      <td>Petrol</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     car model engType_mode\n",
       "0  Acura   MDX       Petrol\n",
       "1  Acura    RL          Gas\n",
       "2  Acura    TL          Gas\n",
       "3  Acura   TLX       Petrol\n",
       "4  Acura   ZDX       Petrol"
      ]
     },
     "execution_count": 149,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def get_engType_mode(x):\n",
    "    brand = x.name[0]\n",
    "    if x.count() > 0:\n",
    "        return x.mode() # Return mode for a brand/model if the mode exists.\n",
    "    elif carsale.groupby(['car'])['engType'].count()[brand] > 0:\n",
    "        brand_mode = carsale.groupby(['car'])['engType'].apply(lambda x: x.mode())[brand]\n",
    "        return brand_mode # Return mode of brand if particular brand/model combo has no mode,\n",
    "    else:                 # but brand itself has a mode for the 'engType' feature. \n",
    "        return carsale['engType'].mode() # Otherwise return dataset's mode for the 'engType' feature.\n",
    "    \n",
    "engType_modes = carsale.groupby(['car','model'])['engType'].apply(get_engType_mode).reset_index().drop('level_2', axis=1)\n",
    "engType_modes.rename(columns={'engType': 'engType_mode'}, inplace=True)\n",
    "engType_modes.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 150,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>car</th>\n",
       "      <th>price</th>\n",
       "      <th>body</th>\n",
       "      <th>mileage</th>\n",
       "      <th>engV</th>\n",
       "      <th>engType</th>\n",
       "      <th>registration</th>\n",
       "      <th>year</th>\n",
       "      <th>model</th>\n",
       "      <th>drive</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Ford</td>\n",
       "      <td>15500.0</td>\n",
       "      <td>crossover</td>\n",
       "      <td>68.0</td>\n",
       "      <td>2.5</td>\n",
       "      <td>Gas</td>\n",
       "      <td>yes</td>\n",
       "      <td>2010</td>\n",
       "      <td>Kuga</td>\n",
       "      <td>full</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Mercedes-Benz</td>\n",
       "      <td>20500.0</td>\n",
       "      <td>sedan</td>\n",
       "      <td>173.0</td>\n",
       "      <td>1.8</td>\n",
       "      <td>Gas</td>\n",
       "      <td>yes</td>\n",
       "      <td>2011</td>\n",
       "      <td>E-Class</td>\n",
       "      <td>rear</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Mercedes-Benz</td>\n",
       "      <td>35000.0</td>\n",
       "      <td>other</td>\n",
       "      <td>135.0</td>\n",
       "      <td>5.5</td>\n",
       "      <td>Petrol</td>\n",
       "      <td>yes</td>\n",
       "      <td>2008</td>\n",
       "      <td>CL 550</td>\n",
       "      <td>rear</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Mercedes-Benz</td>\n",
       "      <td>17800.0</td>\n",
       "      <td>van</td>\n",
       "      <td>162.0</td>\n",
       "      <td>1.8</td>\n",
       "      <td>Diesel</td>\n",
       "      <td>yes</td>\n",
       "      <td>2012</td>\n",
       "      <td>B 180</td>\n",
       "      <td>front</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Mercedes-Benz</td>\n",
       "      <td>33000.0</td>\n",
       "      <td>vagon</td>\n",
       "      <td>91.0</td>\n",
       "      <td>2.6</td>\n",
       "      <td>Diesel</td>\n",
       "      <td>yes</td>\n",
       "      <td>2013</td>\n",
       "      <td>E-Class</td>\n",
       "      <td>rear</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             car    price       body  mileage  engV engType registration  \\\n",
       "0           Ford  15500.0  crossover     68.0   2.5     Gas          yes   \n",
       "1  Mercedes-Benz  20500.0      sedan    173.0   1.8     Gas          yes   \n",
       "2  Mercedes-Benz  35000.0      other    135.0   5.5  Petrol          yes   \n",
       "3  Mercedes-Benz  17800.0        van    162.0   1.8  Diesel          yes   \n",
       "4  Mercedes-Benz  33000.0      vagon     91.0   2.6  Diesel          yes   \n",
       "\n",
       "   year    model  drive  \n",
       "0  2010     Kuga   full  \n",
       "1  2011  E-Class   rear  \n",
       "2  2008   CL 550   rear  \n",
       "3  2012    B 180  front  \n",
       "4  2013  E-Class   rear  "
      ]
     },
     "execution_count": 150,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def fill_with_mode(x):\n",
    "    if pd.isnull(x['engType']):\n",
    "        return engType_modes[(engType_modes['car'] == x['car']) & (engType_modes['model'] == x['model'])]['engType_mode'].values[0]\n",
    "    else:\n",
    "        return x['engType']\n",
    "    \n",
    "carsale['engType'] = carsale.apply(fill_with_mode, axis=1)\n",
    "carsale.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Now we'll see if still we have missing data in dataset. If not, then we are good to go with plotting"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 151,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "car             0\n",
       "price           0\n",
       "body            0\n",
       "mileage         0\n",
       "engV            0\n",
       "engType         0\n",
       "registration    0\n",
       "year            0\n",
       "model           0\n",
       "drive           0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 151,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "carsale.isnull().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " - We can see there are no missing data exist in our dataset, let's go with finding observations/pattern using plotting/charting, but first we'll save this in our post profiling (which is the data states after preprocessing)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id=section306></a>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## * Post Pandas Profiling"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 152,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas_profiling\n",
    "profile = pandas_profiling.ProfileReport(carsale)\n",
    "profile.to_file(outputfile=\"carsale_after_preprocessing.html\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now I have preprocessed the data, now the dataset does not contain missing values. So, the pandas profiling report which I have generated after preprocessing will give more beneficial insights. You can compare the two reports, i.e __carsale_before_preprocessing_2.html__ and __carsale_after_preprocessing.html__.<br/>\n",
    "\n",
    "In __carsale_after_preprocessing.html__ report, observations:\n",
    "- In the Dataset info, Total __Missing(%)__ = __0.0%__ \n",
    "- Number of __variables__ = __11__ \n",
    "- Observe the updated details, Click on Toggle details to get more detailed information about each feature."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Let's look into feature available in __carsale dataset__ in detail an __Visualize them__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5,1,'Top 10 car brands on sale')"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "carsale.car.value_counts().head(10).plot.bar()\n",
    "plt.title(\"Top 10 car brands on sale\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " - This shows __Volkswagen__ and __Mercedes-Benz__ are top most brands on sale and hence these would be preferred choices for high profile people"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 153,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>car</th>\n",
       "      <th>price</th>\n",
       "      <th>body</th>\n",
       "      <th>mileage</th>\n",
       "      <th>engV</th>\n",
       "      <th>engType</th>\n",
       "      <th>registration</th>\n",
       "      <th>year</th>\n",
       "      <th>model</th>\n",
       "      <th>drive</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>4134</th>\n",
       "      <td>Bentley</td>\n",
       "      <td>449999.0</td>\n",
       "      <td>crossover</td>\n",
       "      <td>1.0</td>\n",
       "      <td>6.00</td>\n",
       "      <td>Petrol</td>\n",
       "      <td>yes</td>\n",
       "      <td>2016</td>\n",
       "      <td>Bentayga</td>\n",
       "      <td>full</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2637</th>\n",
       "      <td>Bentley</td>\n",
       "      <td>474999.0</td>\n",
       "      <td>crossover</td>\n",
       "      <td>1.0</td>\n",
       "      <td>6.00</td>\n",
       "      <td>Petrol</td>\n",
       "      <td>yes</td>\n",
       "      <td>2016</td>\n",
       "      <td>Bentayga</td>\n",
       "      <td>full</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1611</th>\n",
       "      <td>Bentley</td>\n",
       "      <td>499999.0</td>\n",
       "      <td>crossover</td>\n",
       "      <td>1.0</td>\n",
       "      <td>6.00</td>\n",
       "      <td>Petrol</td>\n",
       "      <td>yes</td>\n",
       "      <td>2016</td>\n",
       "      <td>Bentayga</td>\n",
       "      <td>full</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7621</th>\n",
       "      <td>Bentley</td>\n",
       "      <td>547800.0</td>\n",
       "      <td>sedan</td>\n",
       "      <td>49.5</td>\n",
       "      <td>6.75</td>\n",
       "      <td>Petrol</td>\n",
       "      <td>yes</td>\n",
       "      <td>2016</td>\n",
       "      <td>Mulsanne</td>\n",
       "      <td>rear</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5849</th>\n",
       "      <td>Mercedes-Benz</td>\n",
       "      <td>300000.0</td>\n",
       "      <td>other</td>\n",
       "      <td>37.0</td>\n",
       "      <td>5.00</td>\n",
       "      <td>Petrol</td>\n",
       "      <td>yes</td>\n",
       "      <td>2012</td>\n",
       "      <td>G 500</td>\n",
       "      <td>full</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4325</th>\n",
       "      <td>Mercedes-Benz</td>\n",
       "      <td>300000.0</td>\n",
       "      <td>sedan</td>\n",
       "      <td>68.0</td>\n",
       "      <td>6.00</td>\n",
       "      <td>Petrol</td>\n",
       "      <td>yes</td>\n",
       "      <td>2011</td>\n",
       "      <td>S 600</td>\n",
       "      <td>rear</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                car     price       body  mileage  engV engType registration  \\\n",
       "4134        Bentley  449999.0  crossover      1.0  6.00  Petrol          yes   \n",
       "2637        Bentley  474999.0  crossover      1.0  6.00  Petrol          yes   \n",
       "1611        Bentley  499999.0  crossover      1.0  6.00  Petrol          yes   \n",
       "7621        Bentley  547800.0      sedan     49.5  6.75  Petrol          yes   \n",
       "5849  Mercedes-Benz  300000.0      other     37.0  5.00  Petrol          yes   \n",
       "4325  Mercedes-Benz  300000.0      sedan     68.0  6.00  Petrol          yes   \n",
       "\n",
       "      year     model drive  \n",
       "4134  2016  Bentayga  full  \n",
       "2637  2016  Bentayga  full  \n",
       "1611  2016  Bentayga  full  \n",
       "7621  2016  Mulsanne  rear  \n",
       "5849  2012     G 500  full  \n",
       "4325  2011     S 600  rear  "
      ]
     },
     "execution_count": 153,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "carsale[carsale.price.isin(carsale.price.nlargest())].sort_values(['car','model','body','mileage','price'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " - This shows __top 5 highest price selling car and their models details__ and hence __can be used for email marketing for high profile income group peoples__ to achieve sales goals"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 155,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>car</th>\n",
       "      <th>price</th>\n",
       "      <th>body</th>\n",
       "      <th>mileage</th>\n",
       "      <th>engV</th>\n",
       "      <th>engType</th>\n",
       "      <th>registration</th>\n",
       "      <th>year</th>\n",
       "      <th>model</th>\n",
       "      <th>drive</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>5010</th>\n",
       "      <td>GAZ</td>\n",
       "      <td>259.350</td>\n",
       "      <td>sedan</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.4</td>\n",
       "      <td>Petrol</td>\n",
       "      <td>yes</td>\n",
       "      <td>1959</td>\n",
       "      <td>21</td>\n",
       "      <td>rear</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6457</th>\n",
       "      <td>Moskvich-AZLK</td>\n",
       "      <td>280.000</td>\n",
       "      <td>sedan</td>\n",
       "      <td>99.0</td>\n",
       "      <td>1.5</td>\n",
       "      <td>Petrol</td>\n",
       "      <td>yes</td>\n",
       "      <td>1976</td>\n",
       "      <td>2140</td>\n",
       "      <td>rear</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7566</th>\n",
       "      <td>Moskvich-AZLK</td>\n",
       "      <td>350.000</td>\n",
       "      <td>sedan</td>\n",
       "      <td>100.0</td>\n",
       "      <td>1.5</td>\n",
       "      <td>Petrol</td>\n",
       "      <td>yes</td>\n",
       "      <td>1985</td>\n",
       "      <td>2140</td>\n",
       "      <td>rear</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4905</th>\n",
       "      <td>VAZ</td>\n",
       "      <td>389.025</td>\n",
       "      <td>vagon</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.3</td>\n",
       "      <td>Petrol</td>\n",
       "      <td>yes</td>\n",
       "      <td>1983</td>\n",
       "      <td>2102</td>\n",
       "      <td>rear</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8252</th>\n",
       "      <td>ZAZ</td>\n",
       "      <td>370.500</td>\n",
       "      <td>sedan</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.1</td>\n",
       "      <td>Petrol</td>\n",
       "      <td>yes</td>\n",
       "      <td>1989</td>\n",
       "      <td>968</td>\n",
       "      <td>rear</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                car    price   body  mileage  engV engType registration  year  \\\n",
       "5010            GAZ  259.350  sedan      1.0   2.4  Petrol          yes  1959   \n",
       "6457  Moskvich-AZLK  280.000  sedan     99.0   1.5  Petrol          yes  1976   \n",
       "7566  Moskvich-AZLK  350.000  sedan    100.0   1.5  Petrol          yes  1985   \n",
       "4905            VAZ  389.025  vagon      1.0   1.3  Petrol          yes  1983   \n",
       "8252            ZAZ  370.500  sedan      3.0   1.1  Petrol          yes  1989   \n",
       "\n",
       "     model drive  \n",
       "5010    21  rear  \n",
       "6457  2140  rear  \n",
       "7566  2140  rear  \n",
       "4905  2102  rear  \n",
       "8252   968  rear  "
      ]
     },
     "execution_count": 155,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "carsale[carsale.price.isin(carsale.price.nsmallest())].sort_values(['car','model','body','mileage','price'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " - This shows __top 5 lowest price selling car and their models details__ and hence __can be used for email marketing for low to middle profile income group peoples__ to achieve sales goals"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 157,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5,1,'Most preferred body type used in 1953-2016')"
      ]
     },
     "execution_count": 157,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x550 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(y='body', data=carsale, orient='h', hue='registration')\n",
    "plt.title(\"Most preferred body type used in 1953-2016\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " - This shows the __car brands having \"sedan\" type of body having maximum registration/sale__ over the years. This shows People prefers __sedan__ type of body mostly and hence this information can be use for achieving max sale and to figure out production of units."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 158,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5,1,'Most preferred engType used over the years')"
      ]
     },
     "execution_count": 158,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x550 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(x='engType', data=carsale, orient='h')\n",
    "plt.title(\"Most preferred engType used over the years\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 159,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>year</th>\n",
       "      <th>registration</th>\n",
       "      <th>RegCounts</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2008</td>\n",
       "      <td>yes</td>\n",
       "      <td>1142</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2007</td>\n",
       "      <td>yes</td>\n",
       "      <td>914</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2012</td>\n",
       "      <td>yes</td>\n",
       "      <td>749</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2011</td>\n",
       "      <td>yes</td>\n",
       "      <td>681</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2013</td>\n",
       "      <td>yes</td>\n",
       "      <td>632</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   year registration  RegCounts\n",
       "0  2008          yes       1142\n",
       "1  2007          yes        914\n",
       "2  2012          yes        749\n",
       "3  2011          yes        681\n",
       "4  2013          yes        632"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "Text(0.5,1,'Years group having max sale/registration')"
      ]
     },
     "execution_count": 159,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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vvYdFixbhzz//xJEjR7B9+3Y4OzuXGhS0Yenhw4dwc3MTtz98+PCR7+Xo6Ijk5GRoNBq9UJyUlAQAcHZ2BlDwH+HiDw1mZWWVes20tDS9APngwQNYWFjAwcHhke0pS1RUFHbt2oX33nsPffr0EYPmiy++qHdc165d4erqipiYGDg7O0OhUFRp3mHtyHLxvjSkbysjPT0db775Jlq1aoXDhw/j6aefhlQqxffff49jx47pHfvXX39h165daNmyJT777DP0798f7dq1K/PaCoUCb7/9Nt5++23cvXsXP/74IzZt2oR33nkHhw4dMriPdTk4OKBZs2ZlztHdsGFD3L59G3fu3HnkdGva78ecOXPQvn37EvudnJzg4uICmUxW4sHB/Px8pKWlVfreDXX+/HnMnj0bo0aNwuuvvy5+P5YuXYqrV68afB1HR0c8ePCgxPakpCRIJBI4OjqKo+tEjwOWTBA9Ztq1awe5XI7ExET4+PiI/5PJZFi9ejXu3r2LBw8e4NatWxgyZAjatGkDC4uC341PnToFoPwVrC5dugR/f3/88ccfkEgkaNWqFaZNm4ZmzZrh3r17pZ7Tvn17SKXSEoHp6NGjj7yfDh06IC8vr8RMENoZHrTBxM7OTpytQuvy5culXvOHH34QXwuCgGPHjqFDhw5iP1TGL7/8gubNmyM0NFQMavfu3cP169f1RstkMhmCg4Px/fff48iRI+jduzdsbW0r/b6NGjVCo0aNSvSlIX1bGXFxcUhLS8OoUaPg6ekp/pJS/LuTl5eH2bNno0mTJti7dy9atmyJ2bNn6/2pXVdWVhYCAwPxySefiPf16quvol+/fuL3ytA+1tWhQwfcvXsXbm5uej8PZ86cwUcffQSZTIaTJ0/Cz8/vkb8QeXp6wsnJCXfu3NG7lpubG1atWoXY2FjI5XK0a9euxHf9+PHjZbbRkHsvr9xC16+//gpBEDBx4kQxDOfn5+PcuXMlvofl6dChA3744Qe90Jufn4+YmBj4+flV6WeFqDbiN5roMVO/fn28/vrrWL16NdLT09GhQwckJCRg3bp1kMlkaN68OWxtbdGgQQPs3LkTbm5usLOzw6lTp7Br1y4AZY+sAkDr1q2hUCgwY8YMTJgwAfXr18fZs2fx999/48033yz1nKZNm2LQoEFYsWIFcnJy4O3tjaNHj4ohqnjdpq6ePXuiQ4cOmDt3LhISEtCiRQucP38e27dvx+DBg/HUU08BAJ577jmcPHkSy5YtQ8+ePXHx4sUyR9aWL18OlUqFxo0bY9++fbh586beLAqV4ePjgw8//BDbtm1D27ZtcevWLWzevBn5+fkl6ikHDRqE6OhoSKVSg2eDKItUKsWkSZMwa9YsLFq0CM8//zz++OMPbN68WdxvTM2aNYOtrS2ioqIgkUgglUpx5MgRfPXVVwCKvjubN29GbGwsPvvsM1hZWWHx4sV4+eWXsWrVKsydO7fEdW1sbNCyZUts2LABFhYW8PLywo0bN3Dw4EGxProifaw1ePBg7NmzB6NGjcK4cePg4eGB06dPY8eOHXj99ddhYWGBkydP6s0uURYLCwtMnTpVnK2lZ8+eSEtLQ1RUFJKSksTVDCdNmoSRI0diypQpCA0NxZ07d8SZIUr7PAy5d21Y/+mnn/DUU0/B19e31DZqty9evBiDBg1CamoqPv30U1y/fh2CIEClUsHKygr29vZISkrCqVOnSp33esKECRg6dChee+01jB07FnK5HDt37kR8fHyVf1aIaiMGYqLH0LRp0+Dm5oY9e/bgww8/hJOTE/z9/TF16lRxZC0qKkqcasvS0hJeXl7i1GyXL1/GsGHDSr22tbU1duzYgVWrVmHx4sXIyMjAU089hSVLlpQ7ddjChQtha2uLbdu2QalUwt/fH+PGjcPmzZvLHSGVSqX48MMPsW7dOnz88cdISUnBk08+ienTp+vNOzxkyBDcuXMHBw8exJ49e9CpUyesXbsWw4cPL3HNBQsWYPPmzbh79y5atWqFjz/+uNw/5Rti/PjxSEtLQ3R0NJRKJRo0aIDQ0FBoNBps374dmZmZYt+3bNkS3t7eSElJQZcuXar0vkBBwM7KysLHH3+M/fv3w9vbG++++y4iIiJgY2NT5evrcnR0xKZNm7BixQpMmjQJdnZ2aNmyJXbv3o033ngDly9fhouLC7Zu3Yrhw4eL/dq6dWu89tpriI6ORmBgIDp27Fji2pGRkVizZg22b9+OpKQkuLi4YOjQoZg0aRIAw/q4eD2rnZ0ddu/ejVWrVmH58uXIzMzEE088gZkzZ+L1119HTk4OLly4gGnTphl0/0OHDoW9vT22b9+Offv2wdbWFu3bt8eaNWvEBxE7deqEdevWiVOhPfHEE5g/fz6mTp1a5ufxqHt3dHTEiBEj8OWXX+LHH3/E2bNnS72Ov78/IiIi8Mknn+Dw4cNwcXFB586d8dprr2HixIm4dOkSunXrhsGDB+PMmTN4++23MXXqVPTu3VvvOi1atMDu3buxZs0azJkzBxKJBH5+fti1axeeeeYZg/qKyJxIhIpU2RMRVUJKSgpOnz6NHj166D1YFBkZiW+//Rbnzp2rlnbs378fEREROHnypFjX/Dj45ptv4OPjI46WAwV/og8PD8fhw4fLnP2DTOP48eNo1KiR3shrbGwsQkJC8OGHHz5y5ggiqn4cISYik9P+yfzgwYN47bXXYG1tjUuXLuGzzz5DeHh4TTfP7H399dfYsGEDJk+eDHd3d9y8eRPr1q2Dv78/w3ANOHXqFI4ePYoZM2agSZMmSEhIQFRUFDw9PY3yFwEiMj6OEBNRtfj999+xdu1aXL16FdnZ2WjSpAmGDh2KYcOGlVtDbEyP6whxcnIyVq5cidOnTyMlJQWurq4ICgrCpEmTjF4yQY+WnZ2NtWvX4tixY0hMTISTkxN69OiB6dOnlzmtHxHVLAZiIiIiIqrTasW0a8nJyQgMDMT58+fFbd999x1CQkLwzDPPoFevXti4caPelDEHDhxAYGAg/Pz8EBoail9//VXcp1arsXz5cvj7+6Ndu3YYP358uWvIExEREVHdVeOB+PLlywgLC8N///0nbrt27RpmzpyJKVOm4NKlS9i2bRu++uorREdHAyiYeHzx4sVYtmwZLl68iIEDB2L8+PHitDubN2/G2bNn8eWXX+L06dOwsrJCRERETdweEREREdVyNRqIDxw4gBkzZmDq1Kl62+/evYuhQ4eiZ8+ekEqlaNasGQIDA3Hx4kUABXWAwcHBaN++PeRyOUaNGgVnZ2fExMSI+8eMGYMGDRrAzs4Oc+fOxalTp3D79u1qv0ciIiIiqt1qdJaJbt26YcCAAeJk51pBQUEICgoS/61SqXDixAkMGDAAQMFKSS+99JLetTw9PREbG4uMjAwkJCTA29tb3Ofi4gJHR0f89ddfpS5lW5rExERxaVgtV1dXvWVniYiIiMj81WggdnV1feQxmZmZmDx5MqysrMRJ+JVKJaytrfWOs7KyQlZWFpRKJQCUeLLayspK3GeIffv2YePGjXrbwsPDxUnSiYiIiOjxUKvnIb5x4wYmTZqE+vXrY+fOneIqT9bW1lCpVHrHqlQqODs7i0G5+DKeKpWq3NWwigsLC0OvXr30tllZFbx/eno21OrS16SnqpPJpHBwsGY/mxD7uHqwn02PfVw92M+mxz42Hmdnw/OeVq0NxCdPnsS0adMwZMgQTJ8+HRYWRU318vLC9evX9Y6Pi4tD9+7d4ejoCHd3d8TFxYllE0lJSUhNTdUro3gUNze3EuURKSkFI8xqtQb5+fyymhr72fTYx9WD/Wx67OPqwX42PfZxzajxWSZK89tvvyE8PBxz5szBrFmz9MIwAAwePBiHDh3Czz//jLy8PERHR+Phw4cIDAwEAISGhmLz5s24ffs2MjMzERkZiY4dO6Jx48Y1cTtEREREVIvVyhHiLVu2ID8/H++//z7ef/99cXv79u2xfft2dOnSBQsWLMDChQtx//59eHp6Ytu2bXBycgJQUOubn5+P4cOHQ6lUolOnTli7dm1N3Q4RERER1WJcqa4CUlKUcHa2RUqKkn/OMCELCyn72cTYx9WD/Wx67OPqwX42Pfax8bi62lf4nFpZMkFEREREVF0YiImIiIioTmMgJiIiIqI6jYGYiIiIiOo0BmIiIiIiqtMYiImIiIioTmMgJiIiIqI6jYGYqp1arUZ8/N0qXeP27f+M1BoiIiKq6xiIyWgCAwNw5cqvjzxuwYJ38b//fVvp9/nyy8/xwQdFKxi++uoQHD36v0pfj4iIiOq2Wrl0M5mnY8dOG3RcampKld4nNTUFugssfvrp51W6HhEREdVtHCGuw+7di0e3bs9iw4Y1eOGFnli1ajmOH/8OI0cORVBQD4we/SouXPhZPD4nR4WVK5eib99eCA0NxrZtm/HyywPxyy+XAADduj0rvj5x4nu8+uoQBAX1wPDhgxEdvR0AsGzZYly9+ht27foYM2dOLbUNeXl5WL58OcLCQhEY2B39+wdizZoPIAgC/ve/b7Fr18e4evU3vPDCcwCAwYMHICbmkNjGqKh1CA0Nxgsv9MSECWPx55+/i/fQrduz+OKLvXjllYJrjx8/Gv/8E1cd3U1ERES1FEeICVlZWTh06Ch+/PF7rFy5FMuWrYaPT1v8/PM5zJ07E1u3foynn26G9etXIzb2T0RHfwZ7ewesWrUM9+7Fl7heTo4K7703HytXrsMzzzyLv/+ORXj4WHTq1AWzZ8/DnTu30a5de7zxxjjxfG0bVCoV9u7djdOnT2PTpq1wcqqPa9euIjx8DAICnkPfvv0RH38Xv/56GRs3fljivVeuXIa///4L69dvgbu7Bw4c+AKTJ7+NnTv3wcPDAwBw/PhRbNz4IRQKK0REzMSmTeuwevUG03YyERER1VocISb07RsMuVyOo0djMGjQYPj5PQOZTIauXQPQtWsAvv76S+Tn5+O772IwduzbcHf3gI2NDaZPnwWZTFbqNRUKBQ4f/hqXLl1AkyZP4bvvTqBly9aPbIO9vT1CQkIRHR2N+vVd8ODBA+Tk5MDGxhZJSYnl3kdOTg6OH/8Ob70VjieeeBJyuRxDhryCJk2a4NixI+JxgweHoX59F9jZ2aFXr0A+oEdERJX2d2ImPjx3Ew+VuTXdFKoCjhATXFxcAQAJCffw66+XcfDgF+I+tVqN9u07IC0tFSqVCg0aNBD32djYwtHRqcT1FAorbN68A598sgOLFkVAqVSiZ89emDz5HTg4OJTbBgBQqbKxfPliXLhwAa6ubvD2bgFBEPTqhkuTkZGBvLw8NGz4hN72Bg0aISGhaCS7Xr364msLCwsIgqbc6xIREZUl8th1/J6QgZx8ARO7P1XTzaFKYiAmSCQSAICrqxuCgoIxYsQocV9CQgIUCgUcHR2hUCiQkJCAxo2bAgCys7ORlpZa4npKZSYePEjCggVLAADXr/+FhQvnYteujxEePrncNgBAZORiuLjUw7ffHoVMJodGo0Hfvj0feR/16tWDpaUCd+/eQZMmTcXtd+/eQdeuAY88n4iIqCIEQcC/D7MAAA+VOTXcGqoKlkyQaODAF/HFF3vFh9BiY//Am2++iuPHv4NUKkX//iHYsWMrHjxIgkqlwvr1q6FWq0tcJzs7G++8MxlHjx6BIAhwcXGFRCKFo6MjAMDSUgGlMrPMdiiVmVAoFJDJpMjKUmLTpnVQKpXIy8sTz8/KUpYYMZZKpQgOHoitWzfhzp3byMvLw+ef78G//95A795BxuomIiIiAEBmjhpZeQX/HczJL/+vmFS7MRCTqGfP3hg3LhyRkYvQp08PRETMwpAhwzB4cBgA4K23JqJJk6YYPnwwXnklFO7u7pBKpZDL5XrXcXFxxeLFy7F79yfo06cHRowIQ/v2zyIsbDgA4IUXgnH48Dd4++03S23H9OkzERsbi8DA5/DKKy8hK0uJTp38ceNGwWwQXbsGIC0tDUFBzyEjI0Pv3PDwyejUqTMmTx6Pfv2exw8/HMPq1RvQuHETY3cXERHVcQkZKvF1Tn7JASIyHxLhUYWZJEpJUcLZ2RYpKUrk59e9utPffvsFzZp5wd7eHgCQlaVEnz5/ucQ7AAAgAElEQVQ9sGfPV3jyycZGex8LC2md7ufqwD6uHuxn02MfVw/2c+lO//MQ0w4W/FW1UxMnbBzsW+lrsY+Nx9XVvsLncISYDLZ376dYt24lcnJUyMnJwfbtW9C4cROjhmEiIiJzcT+jqG44hyHWrDEQk8GmT58NpTITL74YjJCQINy5cxsrVqyr6WYRERHViAQG4scGZ5kgg7m6umHp0lU13QwiIqJaISFdt4aYgdiccYSYiIiIqBJ0SyZy1QzE5oyBmIiIiKgSWEP8+GAgJiIiIqogtUZAou4IMQOxWWMgJiIiIqqgB8pcqHUmrlUxEJs1BmIiIiKiCtJ9oA4oGCHm0g7mi4GYiIiIqIJ064cBQACQp2YgNlcMxEREREQVVDwQA5xpwpwxEBMRERFVUEJ6yUDMOmLzxYU5TCgzJx83k7Oq7f2a1rOBncLwj3TFikjEx9/FmjWbxG2rVy+HUqnE6NFjsW7dKvz++1VYWVmjT5++GD16LORyObKylFi+fAkuXboAmcwCnp5emDRpOpo2fcoUt0VERFTrJJQ2QsxAbLYYiE0kMycfA7ddQEZOfrW9p73CAt+M6WhwKA4OHoi33hqNBw+S4OLiiry8PHz//VHMnbsIkyePR+/eQVi8eBlSU1MQETELgiDgrbcmYM+eT6FUKvHVV4chkUixYkUktmzZgGXLVpv4DomIiGoH7UN1ztZypGTnAeBcxOaMJRN1WKtWbdCkSVMcPXoEAHDu3GnY2NghOzsLeXl5GDcuHAqFAu7uHhgzZjy++mo/AMDSUoG4uOv43/8O48GDJMyZM59hmIiI6hRtDXFjZ2txG0eIzRdHiE3ErnC0tjaXTABAv34DceTIYQwbNgIxMYfQr19/JCTcQ2pqCvr27SkeJwgC8vPzkJKSjFdfHQmFwhKHD3+NNWs+QMOGjfDWWxPQo0cvY98SERFRrZOdp0aaquAvwI2drXElPh0AoMpX12SzqAoYiE3ITmGBNg0caroZ5XrhhX7YunUjrl27iosXz2Pq1Fm4evU3NGr0BD777EvxuKwsJZKTk+Hk5Iy4uOvo2rU7hgwZhszMTBw4sB/z58/B4cPfw87OrgbvhoiIyPTu6zxQ16Sejfias0yYL5ZM1HHOzvXQpUs3rF69HL6+fvDw8EDXrt2QlZWFzz7bidzcXGRkZGDx4gWYP38OJBIJvv32IJYsmY+UlGTY2trC1tYO1tY2kMvlNX07REREJpeQUbQoh27JBGuIzRcDMSE4eAD+/vsvBAcPBADY2tph7doo/PLLJYSG9sOQISGQSiVYvrygTnjcuAlo1OhJjBgxBH36dEdMzCEsW7YKCoWiJm+DiIioWujOQcwa4scDSyYIHh4NYWdnj+7di2qGmzZ9CitXri/1eBsbG0RELKqu5hEREdUq2jmIbS1lqG9rKW7nPMTmi4G4DsvKUiIh4R4+/DAKwcEDOMJLRERkAO0cxO72ClhZFP2xnSPE5oslE3XY/fv3MW7c68jISMfIkW/WdHOIiIjMgjYQezgoYKkTiFlDbL44QlyHPfXU0zh27HRNN4OIiMisJOqMEEslEshlEuSpBc4yYcY4QkxERERkIEEQxFXqPOytAACWsoI4xRpi88VATERERGSglOw85KoFAAUlEwCgKCybYA2x+WIgJiIiIjJQgs6iHO72+oGYNcTmi4GYiIiIyEAJOnMQlxghZg2x2WIgJiIiIjKQdlEOCQA3u4JAzBpi88dATERERGQg7QN19W0tIS8MwgoLGQDWEJszBmIiIiIiA93XmYNYS2EhAcAaYnPGQExERERkIO1DdR72uoGYI8TmjoGYiIiIyEDaEWI3nUBsKc4yoa6RNlHVcaU6E5LkpEOWEldt76d29oSgcDD4+Hv34vHyywMxe3YEoqN3ICMjHS1btsa77y6Am5s7Tp06gejo7bhz5zbq16+PF18cjMGDh0Iq5e9RRERU9+Tma/BAmQsA8HCwEreL064Vzk9M5oeB2EQkOemot6sLpDlp1faeGoUjkkf8VKFQDABnz57Bxx9/hry8XEydGo5PPtmB55/vg/nzZ2PevMXo0aMn/vknDnPmTIcgCAgLG26iOyAiIqq9EjN1plzTLZmQcYTY3HGojzB8+EjY29ujXr368PcPwO3b/+Hw4W8QEPAcnn8+EBYWFmjevAVefXUUvv76q5puLhERUY24X8ocxABXqnsccITYRASFA5JH/FSrSya06tevL762sLCARqNBSkoyvLya6x3XoEFDJCTcq3I7iYiIzJFuIHYvtYaYgdhcMRCbkKBwQL7HMzXdjErx8GiAu3fv6G2Lj7+D+vVdaqhFRERENUs7w4SlTAJna7m4nUs3mz+WTFCpgoNDcObMSfzww3Go1Wr8/Xcsdu/eieDggTXdNCIiohqRkFGwKIeHgxUkEom4nYHY/HGEmErVunUbLFmyHB99tA1Ll74HR0dHDBr0EoYPH1nTTSMiIqoR2hFi3XIJQKeGWK2BIAh6YZnMAwNxHdagQUOcOXNJb9sbb4wTX3fr1gPduvWo7mYRERHVSgkZJRflAADLwlkmNAKQrxEglzEQm5taUTKRnJyMwMBAnD9/Xtx25coVvPzyy2jXrh169eqF/fv3651z4MABBAYGws/PD6Ghofj111/FfWq1GsuXL4e/vz/atWuH8ePHIzExsdruh4iIiB4vgiDg/iNGiAGWTZirGg/Ely9fRlhYGP777z9xW1paGsaOHYtBgwbh4sWLeP/997F06VJcvXoVAHD+/HksXrwYy5Ytw8WLFzFw4ECMHz8e2dnZAIDNmzfj7Nmz+PLLL3H69GlYWVkhIiKiRu6PiIiIzF9mjhpZeQXzDOtOuQYwED8OajQQHzhwADNmzMDUqVP1th89ehROTk4YPnw4LCws0KVLFwwYMAC7d+8GAOzfvx/BwcFo37495HI5Ro0aBWdnZ8TExIj7x4wZgwYNGsDOzg5z587FqVOncPv27Wq/RyIiIjJ/2gfqAMDD3kpvHwOx+avRQNytWzccO3YM/fr109t+/fp1eHt7623z9PREbGwsACAuLq7M/RkZGUhISNDb7+LiAkdHR/z1118muhMiIiJ6nGkfqAMA92IjxJY6gZiLc5inGn2oztXVtdTtSqUS1tbWetusrKyQlZX1yP1KpRIAYGNjU2K/dp8hEhMTkZSUVOwadnB2toVMVuOVJo81bf+yn02HfVw92M+mxz6uHuxnICkrV3zdyNkaFjoh2EZRFKfyIejtMxT7uGbVylkmrK2tkZGRobdNpVLB1tZW3K9SqUrsd3Z2FoOytp64tPMNsW/fPmzcuFFvW3h4OCZNmgQHB+syziJjYj+bHvu4erCfTY99XD3qcj+n5haM/DrbyNHQTX9VWJfMPPG1pbUCzs6G543i6nIf16RaGYi9vb1x9uxZvW1xcXHw8vICAHh5eeH69esl9nfv3h2Ojo5wd3fXK6tISkpCampqiTKL8oSFhaFXr15626ys7AAA6enZUKv5JxFTkcmkcHCwZj+bEPu4erCfTY99XD3Yz8DNxIKBOnd7BVJS9P/inJtdVE7xIEWJFAfLCl+ffWw8lfmFpFYG4sDAQKxYsQLR0dEYPnw4Ll++jEOHDiEqKgoAMHjwYISHh6Nv375o3749du/ejYcPHyIwMBAAEBoais2bN8PHxwfOzs6IjIxEx44d0bhxY4Pb4ObmBjc3N71t2h8AtVqDfNYImRz72fTYx9WD/Wx67OPqUZf7+V5awV+m3e0UJfpAhqJ5h7Nz1FXqo7rcxzWpVgZiZ2dnfPTRR3j//fexfv161KtXDxEREejcuTMAoEuXLliwYAEWLlyI+/fvw9PTE9u2bYOTkxOAgtKG/Px8DB8+HEqlEp06dcLatWtr8paIiIjIjN3PKH0OYqD4LBPqamsTGU+tCcTFZ4Dw8fHB3r17yzw+JCQEISEhpe6Ty+WYMWMGZsyYYdQ2EhERUd2j1ghI1K5S51BKINZ5EC6H5Q5miY8yEhEREZXjgTIXaqHgdakjxHKdQJzHQGyOGIiJiIiIypGQrrMoh4NVif2WOiPEuRwhNksMxERERETl0NYPA4BHKSPEMqkEFtKCB+u4Up15YiAmIiIiKoc2EMukEtS3LX1KNe2DdQzE5omBmIiIiKgc2mWb3ewsIZNKSj2Ggdi8MRATERERlSNBO8NEKeUSWto6YtYQmycGYiIiIqJyaB+qcy/lgTotjhCbNwZiIiIionKUtyiHliUDsVljICYiIiIqQ3aeGmmqfADll0xYMRCbNQZiIiIiojLcT9eZcq2UVeq0tCPEuQzEZomBmIiIiKgMCRk6i3LYs4b4ccVATERERFQG3UU5yq0hLpxlIoezTJglBmIiIiKiMmjnILa1lMFOISvzOI4QmzcGYiIiIqIyJOjMMCGRlL4oB1AUiFlDbJ4YiImIiIjKIC7KUc4DdQCgsCgYPc7JV5u8TWR8DMREREREZbhfuChHeQ/UATo1xBwhNksMxERERESlEATBoEU5AEAhZyA2ZwzERERERKVIyc5DrloAYEDJROEIcS5nmTBLDMREREREpUhIN2zKNUB/lglBEEzaLjI+BmIiIiKiUiRkGLZKHVC0Up1GANQaBmJzw0BMREREVApt/bAEgJudYSPEAKBiHbHZYSAmIiIiKkVC4QwT9W0tIZeVH5kUOvtZR2x+GIiJiIiISnHfwDmIAf0RYs40YX4YiImIiIhKkVgYiB9VLgEUTbsGMBCbIwZiIiIiolKkqfIBAM428kceayljIDZnDMREREREpUjLzgMAOFpZPPJYK52SiVwGYrPDQExERERUjEYQkJFTMELsYGXACDFriM0aAzERERFRMcocNbTTCTsYMEKssJCJr3M4y4TZYSAmIiIiKiZNlSe+NmiEWCYRX3OE2PwwEBMREREVo32gDjC0hrhohJg1xOaHgZiIiIiomHSdEWJH64rWEKtN0iYyHQZiIiIiomLSs4tGiA2pIdYPxIJJ2kSmw0BMREREVIxuyYQhgdhCKoFMWlBHzBFi88NATERERFSMtmTCRi6DXGZYXNLORZzLWSbMDgMxERERUTHpKu0cxI8eHdbSrlbHWSbMDwMxERERUTHaadcqEogVFgzE5oqBmIiIiKgY7QixITNMaFkyEJstBmIiIiKiYtIKZ5kwZA5iLe0IMechNj8MxERERETFpIslE4aPELNkwnwxEBMREREVU5mH6hScZcJsMRATERER6RAEQWeEuOKzTKg4Qmx2GIiJiIiIdChz1VAXLjbnWImSCdYQmx8GYiIiIiId2inXAE67VlcwEBMRERHpSNdZtrki066xhth8MRATERER6UjPLgrEXKmubmAgJiIiItKhWzJRsXmIZQAYiM0RAzERERGRDt2SCfsKPVQnAcBAbI4YiImIiIh0aAOxlYVUrAs2hHaEmLNMmB8GYiIiIiIdaZWYgxgALMVZJtRGbxOZFgMxERERkY60whHiiswwARTNMqEWgHyNYPR2kekwEBMRERHpSM8uGCGuyAN1AKCQFcUqjhKbFwZiIiIiIh3aGmKHCjxQB0Cv3ph1xOaFgZiIiIhIR1EgrlwNMcCZJswNAzERERGRjqKH6io/QqxiIDYrDMREREREhQRBEEeIK1xDzJIJs8VATERERFQoO08jzhBR0ZIJBUsmzBYDMREREVEhvWWbKzjtmqXOLBO5agZic8JATERERFQoPbto2eaqjBCzhti81OpA/Pvvv2P48OF49tln0a1bNyxZsgS5ubkAgJMnT2LAgAHw8/ND37598eOPP+qdu23bNnTv3h1+fn4YMWIEbty4URO3QERERGZEb4SY067VGbU2EGs0GowbNw5BQUG4cOECvvjiC5w5cwbbtm3DzZs3MXHiREyePBmXLl3CxIkTMWXKFNy/fx8AcODAAezatQs7duzA+fPn0bp1a0yaNAmCwFVjiIiIqGzaB+oA1hDXJbU2EKelpSEpKQkajUYMslKpFNbW1jhw4ACeffZZ9O7dGxYWFujXrx86dOiAffv2AQA+//xzDBs2DF5eXlAoFJg+fTri4+Nx/vz5mrwlIiIiquXSdUaIqzIPMUeIzUvFPulq5OzsjFGjRmH58uX44IMPoFar8fzzz2PUqFGYOHEivL299Y739PREbGwsACAuLg5jxowR98nlcjRt2hSxsbHo3LmzQe+fmJiIpKQkvW1WVnZwdraFTFZrf494LGj7l/1sOuzj6sF+Nj32cfWoS/2ckVuw5LLCQgq7Cj5UZystilV5ggALC8P7qy71cW1UawOxRqOBlZUV5s2bh8GDB+PWrVuYMGEC1q9fD6VSCWtra73jrayskJWVBQCP3G+Iffv2YePGjXrbwsPDMWnSJDg4WJdxFhkT+9n02MfVg/1seuzj6lEX+jkXEgCAk40czs62FT5fJpVArREgk1tU6vy60Me1Ua0NxMeOHcN3332HI0eOAAC8vLwQHh6O999/H8888wxUKpXe8SqVCra2BV88a2vrcvcbIiwsDL169dLbZmVlBwBIT8+GmtOpmIxMJoWDgzX72YTYx9WD/Wx67OPqUZf6+X5KweCZg8ICKSnKCp+vsJAiK1eNlIzsCp1fl/rY1Crzi0itDcT37t0TZ5TQsrCwgFwuh7e3N37//Xe9fXFxcWjTpg2AgvB8/fp19OzZEwCQl5eHmzdvliizKI+bmxvc3Nz0tmm/2Gq1BvmsDTI59rPpsY+rB/vZ9NjH1aMu9HNqVkENsb3ColL3aimTIgtqqHLVlTq/LvRxbVRrC1W6deuGpKQkbNmyBWq1Grdv38bmzZsxYMAADBw4EBcuXEBMTAzy8/MRExODCxcuICQkBADw0ksv4dNPP0VsbCxycnKwatUquLi44Nlnn63huyIiIqLaTPtQXUUfqNPSzjTBeYjNS60dIfb09MTWrVuxdu1abN++Hfb29hg4cCDCw8NhaWmJTZs2YeXKlZg7dy4aNWqEDRs24KmnngIADB48GBkZGQgPD0dycjJ8fHywdetWyOUVK44nIiKiuiWtcNq1is5BrKUNxJxlwrzU2kAMAP7+/vD39y91X0BAAAICAkrdJ5FIMHr0aIwePdqUzSMiIqLHjHYe4qqOEHMeYvNSa0smiIiIiKqTIAhVLpmwLJw2LZcPxpkVBmIiIiIiFIzq5qoLFgNzrOAcxFocITZPDMREREREAFKzi1apc6zsCDEDsVliICYiIiJCUf0wADhU8qE6KwZis8RATERERITigZg1xHUJAzERERERiuYgBjjLRF3DQExERESEojmIgco/VMcaYvPEQExERESEopIJuUwi1gJXFEeIzRMDMRERERGKSiYcreSQSCSVugZXqjNPDMREREREANKyq7ZKHcARYnPFQExEREQEIE0cIa58INbOMpFTA7NMCIKAiMN/Ykj0JSRm5FT7+5szBmIiIiIiFNUQV3YOYgBQWMgAAGqNgHyNYJR2GeqXO2n4LjYJ/z7MwuE/7lfre5s7BmIiIiIi6AbiqpRMFNUeV3cd8df/lyC+vhqfXq3vbe4YiImIiIhQ9FCdMUaIASAnX13lNhkqQ5WPH64/EP/9f/Hp0AjVO0JtzhiIiYiIiFA0D7GjdRVqiHWma6vOB+uOxCbqvV+aKh//JWdX2/ubOwZiIiIiqvNUeWoxUFbloTpFDQVibblEAweFuI1lE4ZjICYiIqI6L11nlboqlUzIiqJVbjXNNBF7PwN/JWYCAEZ0eBIe9gWhmIHYcAzEREREVOfpB2LzGiE+WDg6rLCQ4oUWbvBt6ACAgbgiGIiJiIioztPOQQwUrFRXWdVdQ6zKU+PIn4kAgF5eLrC3shAD8b/JWUjLzivvdCrEQExERER1nt4IcRUeqqvuEeLv/34AZW7BbBYhPh4AAN9GDuL+a/cyTN6GxwEDMREREdV56TojxMYqmaiOeYi/vlZQLvGkkxWeecIRAODlYgurwnZcjU8zeRseBwzEREREVOdpR4gtpBLYyGWPOLps1TlCfCs5C7/eKQi8IT4NIJEULApiIZOidQN7AKwjNhQDMREREdV5aTqr1GmDZWVY6swykWPiWSa+KRwdlkmA4Nbuevu0dcTX7mVU+xLS5oiBmIiIiOo87cNnVXmgDoBYqgCYdoQ4X63Bt7/fBwAENKsPF1tLvf3aQKzK1yAuKdNk7XhcMBATERFRnZeuM0JcFTKpBNLCAWZT1hCfvpGM5KyCEK99mE5XmwZFD9axbOLRGIiJiIioztM+VFfVQCyRSMQ6YlOOEGtXpnOzs0TnpvVK7HeylqNpPWsADMSGYCAmIiKiOk+sIbauWskEUFRHbKoa4vsZOfjpZjIAoH9rd1hIS6955gIdhmMgJiIiojpPWzLhWMURYqBopomcPNME4m9/T4D2ObkBbUqWS2hpA/G99BwkZuSYpC2PCwZiIiIiqvO0JRNVfagOKArEuSYYIdYIAr4pLJfo0NgJTzhZl3msb0NH8TVHicvHQExERER1Wm6+BtmFo7lVrSEGAIVFwTzGOfnqKl+ruIv/pSI+vWC0d1ApD9PpalLPWrwfBuLyMRATERFRnWasVeq0LE34UJ32YTpHKwv08HQp91ipRAKfBqwjNgQDMREREdVp2gfqAOOWTBg7EKdm5+FE3AMAQN9W7nqr4pVFW0ccm5gJVZ7xR6wfFwzEREREVKel6wRiB2sjlEzITFND/L8/E5GnLniaLqSch+l0aQOxWiPgz/tcoKMsDMRERERUpxm7ZMJUI8Tah+lae9jD09XWoHNaedhDVjgrG8smysZATERERHWaqUomjLlSXU6+BnEPlACAwOauBp9nYymDl6sdAAbi8jAQExERUZ2mLZmQSQBbS1mVr6d9qE5lxECckpUrvm7goKjQuboLdAiCYLQ2PU4qFYhzc3OxZcsW3Lp1CwAwd+5ctGvXDm+88QZSUlKM2kAiIiIiUypatlkOiaT0Vd8qwhQjxMlZRWUdzjaWFTpXG4hTs/NwO1VltDY9TioViFeuXImPP/4YmZmZOHv2LA4cOIBx48YhMzMTH3zwgbHbSERERGQyadmFyzYboX4YME0NcbLOCHE9m4qVdfg2chBfX41PM1qbHieVCsRHjhzB6tWr0bp1a3z//ffo2LEj3nrrLURERODEiRNGbiIRERGR6eiOEBuDKVaq0x0hrlfBEWIPewVc7QrOYR1x6SoViFNTU9GsWTMAwNmzZ9G1a1cAgLOzM1QqDsUTERGR+dA+VOdohCnXAMBSZvwR4pTCQCyXSWCnqFids0Qi0asjppIqFYgbN26M//u//8Mff/yBW7duISAgAABw/PhxPPHEE0ZtIBEREZEpaR+qM4eSCWfrytU5awPxjQdZyNCZVYMKVOqTf/PNNzFt2jRIpVJ07twZLVq0wKZNm7Bp0yZERkYau41EREREJqMtmTDGlGtAUSDO1whQawTIpFV/UE9bMlHRcgktbSAWAFxLSEeXpvWq3KbHSaUC8aBBg9CyZUvcvn0b3bt3BwD4+Phg+/bt8Pf3N2oDiYiIiEzJVCPEQEEdsbW06lO5aaddc67gA3Vazd3sYCmTIFct4OpdBuLiKlUyMWfOHDRq1Ai9e/eGpWXBbyrdu3dHq1atEB4ebtQGEhEREZlKvloDZa4agPEeqrPUCcQ5ecYpmxBHiG0rN0Isl0nRysMeAOuIS2Pwr0KXL1/G7du3AQAHDx5E69atYWdnp3fMP//8g3Pnzhm3hUREREQmor9KnbFGiItGhHOMNNOEGIitKx/afRs64Le76bh2L8NopRyPC4M/eYlEgtmzZ4uvlyxZUuIYGxsbvPHGG8ZrHREREZEJpesEYgcjzTKhkOmMEBvhwTqNICC1iiUTQFEdcVaeGv88UMLbze4RZ9QdBn/yzzzzDGJjYwEALVq0wJkzZ+Di4mKyhhERERGZmvaBOsD48xADxlmtLl2VD3Xhisv1K1kyAQA+DXUX6EhnINZRqRri2NhYhmEiIiIye6YomdCrIc5XV/l6uqvUVWWEuJ6NJZ50sgLAOuLiKvXJZ2dnIzo6GpcvX0ZeXh4EQdDbv3PnTqM0joiIiMiUdEeIjT3tGmCcGuIU3VXqrCs/QgwUlE3cTlUxEBdTqUC8aNEixMTEoHv37nB1dTV2m4iIiIiqhbaGWCoBbCu4AlxZjF1DrLdss23VQrtvQwcc/iMRd9NUeKDMhUsVSjAeJ5UKxMeOHcPy5cvRt29fY7eHiIiIqNpoSybsFRaQVmIFuNIo5Maddi1ZWVQy4VSFWSYA/Tri3+9loIdn/Spd73FRqRpiqVSKVq1aGbstRERERNUqLbtwlboqBk1dljL9hTmqKrmwjQ5WFpDLKhXdRE86WYuvEzNzqnStx0mlerVPnz44cOCAsdtCREREVK2MvUodoF9DrDJCyYS4Sp0RQruVXAa7wtKQhzojz3VdpT59BwcHfPTRRzh58iSefvppcbU6raVLlxqlcURERESmpH2ozlSB2BjTriUrq7ZKXXEutpbIzMnGAwZiUaU+/WvXrqFt27YAgMTERKM2iIiIiKi6FI0QG69kwkIqgVQCaATjPlRXrwpTrumqb2uJm8nZHCHWUalAvGvXLmO3g4iIiKjaaR+qM9YcxEDBir6WMilU+Rqj1BCnZBuvZAKAOLMEA3GRSn368fHx5e5v2LBhpRpDREREVJ20JRPGmoNYS2FREIiNUUNs7JKJ+gzEJVQqEPfq1QuScqYm+fPPPyvdIF2pqamIjIzEyZMnodFo0KFDByxcuBBubm64cuUKlixZgri4ODg7O2P8+PF4+eWXxXMPHDiAqKgoJCUl4emnn8a8efPQrl07o7SLiIiIzF++RkBmTsFKcsasIQaK6oirWkOsylMjK6+gjUYrmbApDMRZedAIgtGmmzNnlfr0i69El5+fj5s3b+Ljjz/G3LlzjYlesEkAACAASURBVNIwAJg4cSIcHR1x7NgxSKVSzJkzB/PmzcMHH3yAsWPHYtKkSQgLC8PFixcRHh6O5s2bw9fXF+fPn8fixYuxbds2+Pr6Yvfu3Rg/fjx+/PFHWFtbP/qNiYiI6LGXobNKnYO1aQJxVWuIU7KL2uhsY6SH6uwKrqPWCEjPzoeTkYK2OavUp9+xY8cS2/z9/dGwYUNs2bIFzz33XFXbhWvXruHKlSs4d+4c7OzsAACLFy9GUlISjh49CicnJwwfPhwA0KVLFwwYMAC7d++Gr68v9u/fj+DgYLRv3x4AMGrUKOzbtw8xMTF46aWXqtw2IiIiMn/a+mHAuA/VAYClkUaIdRflqG/kEWIAeKDMZSBGJQNxWTw9PfHHH38Y5VpXr16Fp6cnPv/8c+zZswfZ2dkICAjArFmzcP36dXh7e5d47y+++AIAEBcXVyL4enp6IjY21uD3T0xMRFJSkt42Kys7ODvbQlbFSbGpfNr+ZT+bDvu4erCfTY99XD0e135WFpYiAAX1uRYWxrs/K3nBXL+5Go1B1y2rj9NyikK7i73CKG10c1SIr1NVeUa9b3NltECcmZmJ6OhouLu7G+V6aWlp+Ouvv9CmTRscOHAAKpUKM2fOxKxZs+Di4lKi9MHKygpZWVkAAKVSWe5+Q+zbtw8bN27U2xYeHo5JkybBwYFlF9WB/Wx67OPqwX42PfZx9Xjc+llzP1N83djdAc7Otka7tq2iYNRVkEgrdN3ifZyDZPH1042cjDKS7WlZdI1sSIx63+aqUoG4RYsWpT5UJ5FIsHjx4io3CoC42MfcuXOhUChgZ2eHKVOmYMiQIQgNDYVKpdI7XqVSwda24AO1trYudb+zs7PB7x8WFoZevXrpbbOyKijdSE/PhtoI06hQ6WQyKRwcrNnPJsQ+rh7sZ9NjH1ePx7Wf7yYVBWLk5iElRWm0a8sgAAAysnMNum5ZffxfUgYAwFImQX5WjjgFW1UIggALqQT5GgG3EjOMet+1QWUCfqUCcWRkZIlALJfL4efnhyeeeKIylyzB09MTGo0GeXl5UCgKhvY1moIvSMuWLfHZZ5/pHR8XFwcvLy8AgJeXF65fv15if/fu3Q1+fzc3N7i5uelt035h1GoN8o0wjQqVj/1seuzj6sF+Nj32cfV43Po5pXDBCwkAK5nUqPcmLyx9yMlTV+i6xfv4YWbhHMQ2llCrBaAwaFdVPRs5EjNzkZSR81h9ppVVqUAcGhpq7HaU4O/vjyeffBLvvvsuli5dipycHKxZswa9e/dG//79sX79ekRHR2P48OG4fPkyDh06hKioKADA4MGDER4ejr59+6J9+/bYvXs3Hj58iMDAQJO3m4iIiMxDWuEMDvZWFpBJjTv1mLFmmUjOKgjExppyTau+rSUSM3M5F3GhSldR//jjjwgLC4Ofnx+effZZDB06FMeOHTNaw+RyOXbt2gWZTIagoCAEBQXBw8MDkZGRcHZ2xkcffYQjR46gU6dOiIiIQEREBDp37gygYNaJBQsWYOHChejYsSMOHz6Mbdu2wcnJyWjtIyIiIvNWtGyzcadcA4pmmah6INYu22ycKde0tItzPGAgBlDJEeLjx49j4sSJCAwMRHBwMDQaDS5evIjJkydjw4YNeP75543SOHd3d6xZs6bUfT4+Pti7d2+Z54aEhCAkJMQo7SAiIqLHj3aVOmNPuQYAVsaah7gwEDubYIQY4Gp1WpUKxJs2bcKECRMQHh4ubhs1ahQ2btyIzZs3Gy0QExEREZlKmilHiAtriHOr+BCiqUomXMRAnPeII+uGSpVM/PPPP+jfv3+J7f379y/xMBsRERFRbaQtmXA0QSA2Rg2xWiP8P3t3Hh5VefYP/Dv7TPaNBMIWyAYCkgACyqJGA4iACii1lVatVimKWt9qXd5Kq9attH2B2vpTFKvWqliqVBS1RQSUfRMkkARCgASyb7Mvz++PWTJDQpbJnFmS7+e6cjE5Z5Znbg6He565z/2gwShtyUSz2dbjWezewK+EODU1FWVlZW22l5WVITY2tqdjIiIiIpKcu2QiXoKSiUDUEDeZrHC4mkpIVTIBsGwC8DMhnjNnDn7zm99gy5YtaGlpQUtLC7Zs2YLf/va3mDVrVqDHSERERBRwUl5UF4gaYvcFdYB0JRMAE2LAzxriJUuW4Pjx47jnnns8/YiFELjyyivx8MMPB3SARERERIFmdwg0uxNinQQzxK4aYptDwO4QfrV1c9cPA1KUTLS+ZybEfibEGo0GL7/8MkpLS3H8+HEIIZCbm4vMzMxAj4+IiIgo4JrNNs8SF1LWEAPOC+t0ckW3n6NewhniZK8Em63X/CiZqKyshM3m/ESVmZmJ6667DikpKZ7V5IiIiIjCnbtcApC2DzHgf9mEd8lEQoBnsbUqBWI0ziSdM8TdTIj/8pe/oLCwEAcOHPDZ/vLLL2PmzJl4/fXXAzo4IiIiIim4L6gDpO1DDPQkIXYmqvFaJZQKv9dSuyj3LHGtgQlxl6P72WefYfXq1Vi6dClGjhzps2/16tW47777sGLFCvz3v/8N+CCJiIiIAqnRa4ZYipIJ7xliSw9niANdP+zmWa2uhQlxl4+AN998E/fffz/uvffeNvtiYmKwZMkS6PV6vP766ygoKAjoIImIiIgCyXuGWIq2a5oAzBBLtUqdm2dxDgMX5+jyDHFJSQlmzJjR4X24MAcRERFFgiZj6wxxjIQr1QGA2c/V6lpXqZN2hpg1xN1IiGUyGYQQHd5Hp9PBbrf3eFBEREREUmp0zRDHaBRQ+tESrTNaZWtXCbPNv9yotWRCmhli74S4sxyvt+tyQpydnY2dO3d2eJ/t27djyJAhPR4UERERkZRaF+WQJtkMRA1xvWuGWOqSCZtD+NRU90VdTogXLlyIVatWoaioqN39RUVFWLlyJW644YaADY6IiIhICu4EUIoL6oCe1xAbrXYYrc7HJUVLVTLBxTncunwU3HTTTdiyZQsWLlyIgoIC5OXlIS4uDg0NDThw4AC++uorTJ06FYsXL5ZyvEREREQ91mB0liNI0YMY6HkfYp9V6iRYSQ9oLZkAnItzZKZES/I6kaBbR8Gf/vQnvPvuu3j33Xfx+eefA3DWFo8ePRpPPfUUFi5c6FnKmYiIiChcldUaAACDEnSSPH9P+xB7r1IndckEwBnibn8suvXWW3HrrbfCYrGgsbERCQkJUKmk+YsiIiIiCrRmkw3nms0AgCyJZkW9u0xY/OgyUatvTYiTJSqZiNepoJABdsGE2K/vCSoqKjy3q6urPbdlMhlUKhWSkpIglwd+RRUiIiKiniqp0XtuZ/eTJiFWKWSQARDwd4a4NUGVaoZYLpMhKVqN6hYLapgQd19BQUGHpRFqtRrXX389li9fDrVamk81RERERP4orm5NiKWqm5XJZFAr5TDbHP4lxK4aZ41SjiiVopN7+y/FlRD39Rliv6Zxn332WcTFxeGJJ57A+vXrsX79ejz11FNITEzEfffdh2eeeQZ79+7FqlWrAj1eIiIioh4pqWkBAKTHaRCjkeaiOqC1jtifhNidoCbqVJJen5XM1eoA+DlDvHbtWixfvhzXXXedZ9uIESOQkpKCVatW4aOPPkJKSgoef/xxPPzwwwEbLBEREVFPlbhmiLP6xUj6Ou5OE/70IXZfVCdVyzW3ZNcqeLUtnCHutvLycowcObLN9qysLJw8eRIAkJGRgdra2p6NjoiIiCiAHEJ4aoizJKofdtP0YIa4zijtKnVuyTHuGWImxN2WmZmJDz/8sM32Dz/8EEOHDgUAHD16FGlpaT0bHREREVEAVTSaPAteSNVhws3dacLsR5eJOq+SCSm5Z4ibTDa/V9TrDfwqmfjFL36Be++9F7t370Z+fj4cDgcOHjyIw4cPY/Xq1Th69CgeffRR3HHHHYEeLxEREZHfSrwuqMuWOCHuyQxxsEomUrxXqzNYMCBOK+nrhSu/ZoinTp2KDz74AEOHDsW2bduwa9cuDBs2DOvXr8dVV10Fm82GRx55BD//+c8DPV4iIiIivxW7yiU0SjkGJUqzKIebxs8aYrtDeFbSk7xkgotzAPBzhhgARo4ciRdeeKHdfWPGjMGYMWP8HhQRERGRFNwzxMOTo6CUS7u6rr8zxI0mK4TrtlQ9iN2YEDv5vXrGli1b8OMf/xhTp07F2bNnsXLlSvzrX/8K5NiIiIiIAspzQZ3E5RKA/zXEdV6r1CVFSV0y0fr8fXlxDr8S4u3bt+O+++5Deno6mpqa4HA4YLfb8fjjj7d7sR0RERFRqBmtdpyuNwKQvsMEAGiUzgU1zNZuJsReHR+kLpnQqhSIVjvHyRniblq1ahUefvhhPP/881AonEF86KGH8PDDD+ONN94I6ACJiIiIAuFEjd5TiiDVks3eNEpnSYalmzPE9V6LZCRKPEMMeC3Ooe+7i3P4lRAfO3YMBQUFbbbPmDEDp0+f7vGgiIiIiALNe8nmYJRMeGaIbfZuPc7dE1gGIEHitmtAa0LMkoluio2Nxfnz59tsLy4uRnx8fI8HRURERBRo7vrh5Gh1UGZe/V2pzj1DHK9TSX7hH9BaR8ySiW6aO3cunn32WRw5cgQymQx6vR5btmzB008/jdmzZwd6jEREREQ95k6Ipe4/7ObuMmHyMyGWusOEWzITYv/arj344IM4d+4cFixYAAC46aabIITAVVddhYceeiigAyQiIiLqKSGEp+VaMC6oAwCNq8tEd2uI3SUTycFKiF2vU2uwQAgBmUz6Welw41dCrFKpsGLFCixbtgxHjx6Fw+FATk4O0tPTsWLFCjz++OOBHicRERGR36pbLGg02QAE54I6wP8+xK0zxNKXdQBASozzdax2gSaTDfFBqFsON10umTCbzXjmmWcwefJkTJkyBS+++CIGDx6MWbNmYfbs2Th37hzmzJmDt99+W8rxEhEREXWbe4U6IDgX1AGtNcRWu4BDiE7u3areNUMsdcs1N5/FOQx9s2yiyzPEK1aswD/+8Q/MmzcParUa//jHPxAbG4t77rkHzzzzDN59910MGTIEb775ppTjJSIiIuo2d7mEQi5DRlJUUF7TPUMMOC+s06oUnT5GCIFag3vZ5uDMECdH+a5WNzw5OB8YwkmXE+Ivv/wSTzzxBG699VYAwFVXXYVnn30WlZWVWLduHe6880488MADUKuD85dHRERE1FXF1S0AgKGJOs/MrdS8E2JzFxNio9XuKbEI1kV17pIJoO+2XutyQlxdXY2pU6d6fp82bRrOnj2LL774Am+88QYmTZokyQCJiIiIesrTYSJI9cNA24S4K+oM3ss2BychjteqoJABdtF3F+fo8kckq9WKqKjWrxgUCgU0Gg0ee+wxJsNEREQUtqx2B8rqXEs2B6l+GADUCq+SiS52mvBufRaskgmFXOa5gK+vtl7r8XcGY8eODcQ4iIiIiCRRVmeA3eG8qC27X0zQXtd7hrirvYjrfJZtDl63h5Q+vlpdtxLi9vrSyeXBqcMhIiIi8ofPks0hKpno6mp19SGYIQa4OEe3+hA/88wz0Gg0nt+tViteeuklREf7HlzPPfdcYEZHRERE1EPuDhNxWiVSY4KXZPpTQ+xue6ZVyhGl7vwivEBJjnYtzsGEuGOXXXYZqqurfbbl5+ejvr4e9fX1AR8YERERUSC4exBnpUQHdRU2tR8zxHWelmvBXRwjhTPEXfPWW29JOQ4iIiIiSXiWbA7iBXWAnzXEroQ0WKvUublLJhpNNlhsjqC1pgsXfevdEhERUZ9Sb7B4LhQLZv0wAGj86DIRqhli79Xq6vrganVMiImIiKjXKvFasjmYPYgBQKNsrQE22+xdeox7hjiYF9QBrSUTQN8sm2BCTERERL2Wu8OEDAj6ksQ9WZgjmC3XAN8Z4po+uDgHE2IiIiLqtUpdM8SDErRB7doAACqFDO5L+LqSENvsDjQaXSUT0aGpIQZaO130JUyIiYiIqNdyzxBnBXFBDjeZTOa5OK0rCXGdwQLhup2kC+4MsU6lQLTrA0NtCxNiIiIiol7B7hA4UWsAAGQHucOEm7tsoitt17wT0WCXTABei3NwhpiIiIiodzjdYPTMzGYG+YI6N003ZohrWsye28EumQCA5Ki+uzgHE2IiIiLqlUq8lmwO1Qyx2tV6rStt17xniIPddg0AkqOdqxHXMCEmIiIi6h3cK9RplXIMTNCGZAzuGeKuLMzhniGWAYjXhiIh5gwxERERUa/iWaGuXzTkQVyy2Vt3aohrXDPECToVFPLgjzfZa/lmIUQn9+5dmBATERFRr1RS3QIg+Es2e+tODXGta4Y4KTr4s8NA6+IcFrtAs9kWkjGEChNiIiIi6nVazDZUNDkTzGCvUOetWzXErlKFxCCvUufm04s4QItzVDSaUNVs7vyOIcaEmIiIiHqdUq8lm7NCmBD7U0Mc7B7EbskBXr65ssmEm9/YjZvf2AOTtWtLV4cKE2IiIiLqdUq8E+IwKJnoTh/iULRcA1pLJoDAdJrYf6YRFruAwWpHS5iXYEREQmy327F48WL86le/8mzbsmUL5s6di7y8PFx33XXYvHmzz2NeffVVTJ8+HXl5eVi8eDFOnDgR7GETERFRiLhXqEuNUSMuBB0b3LpaQyyEaJ0hDkHLNcB5MZ/7Wr5AzBCX1xsBAFEqhc/scziKiIR49erV2LNnj+f3srIy3H///XjggQewZ88e3H///XjwwQdx/vx5AMD69evx1ltvYc2aNdi5cydGjRqFZcuW9bkrJomIiPoqd4eJ7BAs2exN3cUZYr3F7kmaE0NUMqGQyzz1y4FMiAcn6iALUZePrgr7hPjbb7/F559/jhkzZni2rV+/HhMmTMC1114LpVKJ2bNn47LLLsN7770HAHj//ffxwx/+ENnZ2dBoNHj44YdRUVGBnTt3huptEBERUZAIITwlE6GsHwYAjVIBADDbOq6hrfNaLjlUJRNAa9lEIEomTrsS4iGJuh4/l9SUoR5AR2pra/HEE0/g5Zdfxtq1az3bS0pKkJOT43PfrKwsFBUVefbffffdnn0qlQoZGRkoKirC5MmTu/TaVVVVqK6u9tmm1cYgMTEaCkXYf46IaO74Ms7SYYyDg3GWHmMcHJEW54pGI/QWZwKamxYDpTJ049aq3F0mRIfjaDS1Jsz9YjUhG3NKjBrHqoA6g7VHYxBCoLzBmRBnJEeF9O+gK8I2IXY4HPjlL3+JO+64AyNGjPDZp9frodP5ftrQarUwGAxd2t8V7733HlavXu2zbenSpVi2bBni4sL/k05vwDhLjzEODsZZeoxxcERKnPdUtnhuT8jqh8TE0M0SJ8Q6V8gz2x0djsNwttlze9iAeCQmRkk+tvakJ0YBqEODydajuFU1mWBwfSgZOSghpH8HXRG2CfErr7wCtVqNxYsXt9mn0+lgMpl8tplMJkRHR3dpf1csWrQIBQUFPtu0WmcdUlOTEfYu9BMk/ygUcsTF6RhnCTHGwcE4S48xDo5Ii/P+kzUAAKVchgQFUF+v7+QR0nG42o2ZrfYOx3G2pjWJV1htIRtznNo5k3u+ydijMRw63eC5naJRBPX9+JN8h21C/NFHH6GqqgoTJkwAAE+C++WXX+JHP/oRjhw54nP/kpISjB49GgCQnZ2N4uJiXH311QAAq9WKsrKyNmUWHUlNTUVqaqrPNvdfpt3ugK0L7VOoZxhn6THGwcE4S48xDo5IifP3lc7Z1mHJUZAJhHTMKlfbBotdwGK1X3QJaXeHCZ1KDpVcFrIxJ7o6cjQYbTCabVD5WSZzsro1AU6P1YT9cRO2BR2fffYZ9u3bhz179mDPnj2YM2cO5syZgz179mDevHnYtWsXNm7cCJvNho0bN2LXrl244YYbAAALFizA22+/jaKiIpjNZqxYsQIpKSme5JqIiIh6J4vNgV2nnLOT4wbFh3g0rV0mgI47TbgvqksK0Sp1bt7t0eoM/q9W5+4wEa9VIj5EXTO6I2xniDuSmZmJP//5z/j973+PJ554AgMHDsSqVaswbNgwAMDChQvR3NyMpUuXoq6uDmPGjMErr7wClSr8/0KIiIjIf3vPNMDgKlOYnpkc4tEAWq+E2GxzQKtStHu/OtdSyaHsMAH4Ls5Rq7cgLVbj1/OUezpMhKYWursiJiF+/vnnfX6fNm0apk2b1u59ZTIZ7rzzTtx5553BGBoRERGFia2ldQCAaLUC+eEwQ+xVcmDpoP66dYY4tJN3yQFarc7dYWJIUmRciBm2JRNERERE3SGEwNeltQCAyzOS/K5/DSTNBTPEF+OZIQ6jkgl/F+ewOwTOuBLioRHQgxhgQkxERES9RHG1HuebnRenTctMCvFonNRdSIjL6gw42+hMIJOjQztDHKVWIMpV1uFvQnyu2QSr3bk68OAEJsREREREQbP1hHN2WC4DrhgWHgnxhTXEF2ox2/A//zoCi11AIZehIKdfMIfXLndS7m/JhHuFOiAyVqkDmBATERFRL+GuHx6bHoeEMOls0FGXCYcQ+PXGIpxyJZC/nnMJRvaPDer42uMum/B3hrjcKyEezISYiIiIKDhq9BYcOefsPzwtDLpLuHVUQ/zqN6ew9YQzib9hTH/8+PKhQR3bxaR4EmL/2q65E+LUGDV0F+mqEW6YEBMREVHE2+4qlwCAacPDJyH27jJh9uoy8VVxDV7bUQ4AGNU/Fo/NyIbsIot2BFvrDLHZr8ef8rRci4zZYYAJMREREfUC7nKJIYk6DA2jVl/t1RCfqNXjqU+PAXC2WXtx3iXQKMNnJtWTEBusEEJ0+/GnI6wHMcCEmIiIiCKcyWrHjlP1AICpw5PCZqYVaFtD3Gyy4ZcffQ+D1Q6lXIYX512CVD8Xv5CKOyE22xzQW+zdeqzF5kBlkwkAZ4iJiIiIgmbP6QbP7Gs4rE7nzXvm12i148mNRz01tr8syMTYgaFfPORCPotztHTvwrqzjSY4XJPKkXJBHcCEmIiIiCKcu1wiVqPE2PS4EI/Gl1rROlv91u7T+Oakcyb7xjH9MX9seqiG1aEUr8VBqlq6V0dcHoEt1wAmxERERBTBhBDY5rqg7ophiVCGwep03mQymafTREWTM7kcMyAOvyzICuWwOjQ4UQe5K48/VtXSrceW1xsAAAoZMDBeG+ihSSa8jhoiIiKibjhW1YIq19f64dRdwpt3p4mUaDVenDfSp7Y43ESpFchMiQYAHKpo6tZj3TPE6fHasFg6u6siZ6REREREF3CXSyhkwOXDEkM8mva5Z4hVCudFdCkx4XURXXsudZWeHKpo6lanidMNzoQ4kuqHASbEREREFMHcyzXnDYpHnDY8Vqe70IwR/aBTyfHkjByMCbMa54txJ8R1BisqXF0juqI8AluuAYAy1AMgIiIi8kdVsxlHzztrXMO1XAIAHroqE/dPGxZ29c0dudQrcT9U0YSB8Z3P+BosdlS7ylci6YI6gDPEREREFKG2ea9OF2bt1i4USckw4LwgLinKOeP+XUVzlx5z2rvDRAITYiIiIiLJbT3hrB/OSNJF3IxkuJPJZBgzoLWOuCvKG7wS4jBaLbArmBATERFRxDFZ7dhd3gAgvMslIpm7bKKkugWGLqxY5265plbIkBZmq+91hgkxERERRZydp1pXpwv3colI5b4A0C6A7891XjbhvqDO2cc4fJbP7gomxERERBRx3N0l4rXKiOncEGlGpsVA4VqhoytlE+4a4sERVj8MMCEmIiKiCOMQAttc9cNXDEuCUh5Zs5GRQqtSIDc1BgDwXWXnCXGktlwDmBATERFRhDl6rhm1etfqdCyXkJS7jvi7ThboaDBa0WiyAQCGRuAFjkyIiYiIKKJ87ZodVshluDwjPFen6y3GDIgFADSabDjl1VbtQuVe+yJtlTqACTERERFFmK2lzvrh8YPiEaPhGmNSunCBjovx6UHMhJiIiIhIOueaTCiu1gNguUQw9I/TIjVGDcBZNnEx7pZr0WqFZ0GPSMKEmIiIiCKGezEOAJiWmRTCkfQd7lnijmaIWy+o00EWYS3XACbEREREFEE+/b4KADA8OQoD4yPvq/lI5G5rd7LWgGbXhXMX8k6IIxETYiIiIooIx6taPO2/5o7uH+LR9B3uGWIB4PC5trPEQggmxERERETB8M9DlQCcSwPPGZUW4tH0HbmpMVArnGUQ7dURV7dYYHKtGhiJPYgBJsREREQUAfQWm6dc4trcfkjQRd6FW5FKpZBjZJqz/Vp7dcSnGyK75RrAhJiIiIgiwKajVTBY7QCA+ZcOCPFo+h53HfHhymbYHb4LdHj3Jx4Sgcs2A0yIiYiIKMwJIbDuoLNcIrtftE9vXAoOd8z1FjtO1hp89pXXORPipCgVYrWR2ReaCTERERGFtcOVzZ7ew/MvHRCRbb0i3RjvBToqfcsm3D2II/WCOoAJMREREYW5Dw9WAACiVApcd0lqiEfTN6VEq5EerwXQto7YXUM8OELLJQAmxERERBTGGo1WfHGsGgAwa2QqotWR+ZV8bzBmgPPCOu9OEzaHwJkGEwDOEBMRERFJ4pPvz8Nid17EtWAsL6YLpUvT4wE4F+FoMFgBOJfStrkushuSFJkt1wAmxERERBSmhBD40HUx3ZgBschJjQnxiPq2S9NjPbfddcTlvaDDBMCEmIiIiMLUntMNnoRrPmeHQy6rXwy0Smfq6C6b8E6IByVoQzKuQGBCTERERGHJPTscp1Xi2px+IR4NKeUyjBrgu0CHOyHuH6uBVqUI2dh6igkxERERhZ2aFjO+KqkFAMwZlRbRyVZv4u5H/P25Ztjsjl7Rcg1gQkxERERh6KPD5zwrot3ElenCxpgBzoTYZHOguEaP064Z4khdstmNCTERERGFFbtDYP2hcwCACUMSkBHB3Qt6G3dCDAB7yhtQ2WQGwBliIiIiooD65mQdzjc7E62FvJgurCREoSSvlQAAIABJREFUqTzJ76dHqyBc24cmRvaHFibEREREFFbcF9MlR6txZWZyiEdDF3LXEbuX0wY4Q0xEREQUMBWNJnxzsg4AcMPoNCgVTFXCzZj0OJ/fFXIZBsRHbss1gAkxERERhZH1hyohAMhlvJguXF16QUI8MF4LpVwWotEEBhNiIiIiCgtWuwMfH3ZeTHfFsCT0j4vsWcfeanhyFKLVrW3wIr1cAmBCTERERGHiq5Ja1BmsAICFY9NDPBq6GLlM5tNtggkxERERUYB8cuQ8AOeqZ5MzEkM8GurImPRYz20mxEREREQB0GC0YsepegDArJGpUER4TWpv511HHOkt1wBAGeoBEBEREW0urvGsTDdjRL8Qj4Y6M2FIImaO6Ae7QyBvUHyoh9NjTIiJiIgo5D4/Vg0AGJYchayU6BCPhjqjlMvwzPUjQz2MgGHJBBEREYVUTYsZe8sbAAAzcvtBJmO5BAUXE2IiIiIKqf8cr/EsAVyYy3IJCj4mxERERBRS7nKJEakxGJoU+RdoUeRhQkxEREQhU9lkwqGKJgC8mI5ChwkxERERhcwXRdWe29eyXIJCJKwT4qKiItxxxx2YOHEipkyZgkceeQR1dXUAgIMHD+Lmm29Gfn4+CgoK8MEHH/g8dv369SgsLEReXh7mz5+P/fv3h+ItEBERUQfc5RKXpsdhAJdqphAJ24TYZDLhrrvuQn5+PrZt24Z///vfaGhowOOPP47Gxkb87Gc/w4033ojdu3fj2WefxXPPPYdDhw4BAHbu3Imnn34azz//PHbv3o158+ZhyZIlMBqNIX5XRERE5FZWZ8CxqhYAzu4SRKEStglxRUUFRowYgaVLl0KtViMxMRGLFi3C7t278fnnnyMhIQE/+tGPoFQqcfnll2Pu3Ll45513AAAffPABrr/+eowfPx4qlQq33347EhMTsXHjxhC/KyIiInL7wjU7LJcB1zAhphAK24U5hg8fjtdee81n26ZNmzBq1CgUFxcjJyfHZ19WVhbWrVsHACgpKcGCBQva7C8qKury61dVVaG6utpnm1Ybg8TEaCgUYfs5oldwx5dxlg5jHByMs/QY4+CQIs5CCE/98IQhCegf37fLJXgsh1bYJsTehBD405/+hM2bN+Ptt9/G3/72N+h0Op/7aLVaGAwGAIBer+9wf1e89957WL16tc+2pUuXYtmyZYiL013kURRIjLP0GOPgYJylxxgHRyDjfLSyCSfrnP8vzx8/GImJXJ0O4LEcKmGfELe0tOCxxx7DkSNH8PbbbyM3Nxc6nQ7Nzc0+9zOZTIiOdv5j0ul0MJlMbfYnJiZ2+XUXLVqEgoICn21abQwAoKnJCLvd4c/boS5QKOSIi9MxzhJijIODcZYeYxwcUsT5g52nADiXAJ48KA719fqAPG+k4rEcOP58uArrhLi8vBx333030tPTsW7dOiQlJQEAcnJysH37dp/7lpSUIDs7GwCQnZ2N4uLiNvunT5/e5ddOTU1Famqqzzb3P1a73QGbjQer1Bhn6THGwcE4S48xDo5AxVkIgc+OVgEAJmckIlql4N+fC4/l0AjbQpXGxkb85Cc/wbhx47BmzRpPMgwAhYWFqKmpwdq1a2G1WrFjxw5s2LDBUze8cOFCbNiwATt27IDVasXatWtRW1uLwsLCUL0dIiIicjlyrhkVjc5vcrlUM4WDsJ0h/uc//4mKigp8+umn+Oyzz3z27d+/H6+//jqeffZZrFy5EklJSXjyyScxefJkAMDll1+Op556CsuXL8f58+eRlZWFV199FQkJCaF4K0REROTlc9fFdBqlHFdmJYd4NESATAghQj2ISFFfr0diYjTq6/X8OkNCSqWccZYYYxwcjLP0GOPgCGSc7Q6BOf9vJ2r0FlyTk4Ln514SoFFGNh7LgdOvX2y3HxO2JRNERETU+xw424gavQUAF+Og8MGEmIiIiILGvRhHlEqBK4YldXJvouBgQkxERERBYbM78J/jNQCAK7OSoVUpQjwiIicmxERERBQUu083oMFoBQDMGMFyCQofTIiJiIgoKNzdJeK0Skwa2vXFsoikxoSYiIiIJGe2ObC52FkucXV2ClQKpiAUPng0EhERkaRsdgfe2FkOvcUOgN0lKPyE7cIcREREFB4qm0wQahVk3XycEAJbT9Th/7acQHm9EQCQFqvB+MFcKIvCCxNiIiIiuqhvy+rw0D8PQyaTYcrwJMy5JA1Thid1WvJwvKoFf9pyArvLGzzbRqbF4H9n5kAh725qTSQtJsRERETULocQWPX1SdgFACGwpaQWW0pqkaBT4bqRqZgzKg05qTE+j6nRW/DX7WX4+LtzcC+FmxqjxtJpwzBrZCrkMibDFH6YEBMREVG7tpTUorhaDwAoGJGKQ2caUNNiQYPRinf3ncW7+84ip1805o7uj6uzU7Dx+/NYu/M0DFZnrbBWKcePJw7GbRMGQceewxTGmBATERFRGw4h8Oq3pwAA/WM1+Ott49HYqMf20jr8+/A5bCmthdUucLxajxWbS7Fic6nP468flYafT8lAaqwmFMMn6hYmxERERNSG9+zwT68YCrVSDqVcjinDkjBlWBIajVZsKqrGv4+cw9HzLZ7H5Q+Mw0NXZ2JkWmyohk7UbUyIiYiIyIf37HBarAY3jOnf5j7xOhVuyU/HLfnpKKnWY3NJDXL6RWN6ZjJkrBOmCMOEmIiIiHx4zw7fOWlwpx0lsvpFI6tfdDCGRiQJLsxBREREHhfODs8d3XZ2mKi3YUJMREREHt2dHSbqDXiUExEREQDODlPfxYSYiIiIAHB2mPouHulERETE2WHq05gQExEREWeHqU/j0U5ERNQLCSGwo6wO+840QAjR4X05O0x9HfsQExER9TJ6iw3PfVGMTUXVAIDsftG4bcIgzMjtB2U7M7+cHaa+jkc8ERFRL1Jc3YIfv73fkww7t+nx1KfHcMNru/DW7tNoMds8+zg7TMQZYiIiol5BCIGPD5/DS/8thdnmAADMHNEPeQPj8e6+syivN6KqxYKVX5/Emh3luGFMf9w6biCOnm/h7DD1eUyIiYiIIpzRasfzXxZj4/dVAAC1QoaHC7Jw05j+kMlkmD92ALaW1uLtPWdw4GwT9BY7/r73LN7bdxYxGmcqwNlh6suYEBMREUWw0ho9HttwFCfrDACAwQlaPDf3EuSmxnjuI5fJcGVWCq7MSsF3FU14Z+8ZbC6ugV0AjSZn+QRnh6kvY0JMREQUof595Bxe+LIEJleJxLU5/fDEjGzPrG97xqTH4fn0S3CmwYh3957FJ9+fR1ZKNGeHqU9jQkxERBRGzDYH/r73DI5X6Tu8X6PJit3lDQAAlUKGh67KxMKxAyCTybr0OoMSdPjlNVn45TVZPR4zUaRjQkxERBQmSmr0+N9PilBS03Ey7C09Xovn547EyLRYCUdG1LsxISYiIgoxIQQ+OFCJlV+f8HSIGJ4c1WHpAwDkpsZgyZQMxGr53zlRT/BfEBERUQjVGyz47abj2HaiDoCzQ8QDVw7HzXnpXS5/IKKeYUJMREQUIjvK6rD8s+Oo1VsAAJkpUXhm9khk9YsO8ciI+hYmxEREREFmsTnw520n8fe9Zz3bbslLx/3Th0GrUoRwZER9ExNiIiKiIDpR67xw7rhrdbhEnQq/npWDqcOTQzwyor6LCTEREZHEHEJgR1k91h2owLYTdRCu7ZMzEvHUrFykRKtDOr7OyFoqASgBkRLqoRBJggkxERGRRBqMVmw4fA4fHqzE2UaTZ7tKIcN904bhB+MGQh7GF87JLM2I3v5b6L5/FwAQr46DLWUkbCmjYUsZBVvKKNiTsgFFeCf0RJ1hQkxERL2S3SFwstaAQxWNaDTZMGVYEnK8ljOW0pHKJnxwsBJfFFXBYhee7Yk6FW68tD/mXzoA/eO0QRmLv1RntiP2vw9D0XzGs01uaYK6YifUFTs924RcBVtSDuwpo2AeWgDL8FmAnOkFRRYesURE1Cu0mG04XNmEQxXOn8OVzdBb7J79L28rQ25qDOaOSsPMkalI0KkC+voOIfB5UTX+vvcMjp5v8dk3Nj0OC/PSUZCdArVSHtDXDTirEdE7nkPUodc9myw586AecwNMZfsgrzoMZc1hyI21AACZwwpVzRGoao5AW/Q+7HFDYBh7F0wjFgFqdsugyCATQojO70YAUF+vR2JiNOrr9bC5GqdT4CmVcsZZYoxxcDDO0vvuXBO+LKnD7hO1KKnW42L/ocllgMNrp1Iuw/TMZMwdnYbJGUlQyntWtnDgTCP+8FWpTyKsU8lx3cg0LBg7IGgz0z2lrNyD2P88BGXjSQCAQ5OAlit/B/vIG32PZSEgN1RBWXMEiprvoaw+DNW5PVDoz3mey6GJh2nUYhgvvQOO6LRQvaWIwfNF4PTr1/1VG5kQdwMT4uDgSUF6jHFwMM4X5xAC55vN6B+r8WvxiWPnW/DnbSfxbVl9m30qhQwj02JxaXocLk2Pw5j0OCjlMnxeVIV/HznfZvY2OVqN2SNTMWd0GoYnd29G82yjEau+Pon/HK/xbBucoMWi/IG4flRapyvNhQ27GdG7VkC3/6+QCeexas4oRPNVL0BEp3btWHbYoCn9FLoDf4Wq6qBns5CrYcq5Cca8n8GenBuMdxOReL4IHCbEEmNCHBw8KUiPMQ4Oxrl9Ryqb8MJ/SnD0fAsGxmsxZ1Qarh+VhgFdqKktrzfir9vL8MWxas+2OK0Slw1JwJgBzuR3RGpMh2UJxdUt+PeR8/j0+yrUG60++4Yk6jBteDKmZSZh7MD4i84ct5hteGNnOd7ddxZWV41wnFaJuy8fioVjB0CpCPOyCC/K6u8Q++WDUNYdAwA41LFomfZbmHMXAq4PK906loWAqnIndPv/HzRln/vsMg+5Gsbx98GaPkmKtxLReL4IHCbEEmNCHBw8KUiPMQ4OxtlXg9GKP289iY++O9emtEEGYMKQBMwdnYars1LaLE5R1WzGaztO4ePvzsF9jZpOJcdtlw3G/TNyYTdauh1jm92B7Sfr8O8j57H1RB3sDt9RxWmVuDwjEdMzk3F5RhJitUrYHAIffVeJV7af8iTTCrkMN+el467JQxAf4LpkSQkB3cFXEf3t7yBz2AAAlkHT0FywAo7YdJ+7+nssK+pLoDvwKrTH1kFmN3u2m4dcDcPkR2HrNzow76UX4PkicJgQS4wJcXDwpCA9xjg4GGcnhxD46Ltz+PPWk2g0OROvaLUCt+Sn43BlM3aXN/jcP1qtQGFuP8wd3R9DEnV4c9dpfHCgAmZXDFUKGeZfOgB3Th6C1DhtQGJcb7Dg69JafF1ah52n6j2v5aaQy5A/MA71RitKawye7dOGJ2HZlcORkRTl92uHgszUgNj/PgzNyU0AAKHUoeWKJ2EavRiQtZ3d7umxLDPUQPfdWui+ewNyc6NnuylrHgyT/gf2hOH+v5legueLwGFCLDEmxMHBk4L0GOPgYJyBo+eb8cKXJThyrtmz7bqRqVh25XDPYhSVTSZ8cuQ8/n3kvE+vXgBQyOCZEZbLgNmXpOFnVwz1lFdIEWOT1Y49pxuwtbQOW0/UorrF0uY+2f2i8eCVwzFxaGJAXjOYlOcPIG7TEiiaTwMAbMkj0DTzFdgTMy/+mADFWWZugu7AK4g68CpkNucHCyFTwDRyEQyXPQhHTHonz9B78XwROEyIJcaEODh4UpAeYxwcvTHO9QYLviqphVwGxGtVSNCpEK9TIV6nRJxW5am5bTJZ8ZdtZfjwYKWnPGJ4chQevTYL4wYltPvcDiFw4GwjNhw+j/8cr4bR2hqzq7NTcO+UoW0uepM6xkIIFFW1YGtpLbadqIPVLrAoPx1zR/eHooedKYJOCOgOvY7ob56BzOEs9zBecitapv0WUOo6fGig4ywzVCNqz0rojrztGYtQaGAcczsM4++D0EbeB42e6o3ni1BhQiwxJsTBwZOC9Bjj4OhNcRZC4NOjVfjD5lJP2UN7YjVKxOuUaDLZ0OS6X5RKgbuvGIof5Kd3+WIzg8WO/xyvxukGI67MTMaoAXHt3q83xVhKMnMTYjf/DzSlGwE4SySar3oe5twFXXq8VHGWN51G9O4/QHPsQ093C4cqBqZRP4Jp5CLYk3IC9lrhjsdy4DAhlhgT4uDgSUF6jHFw9JY4VzSa8NwXxdhxqm2Ls87MyO2HB64cjtRYjQQj6z0xlpKy+jvEfXYvFE2nAAC2pFw0zfyrc8nlrj6HxHFW1B1H9M4XoTnxmc92a+pYmEYugjlrHoS2/W8Wegsey4HjT0IcIQ0SiYgo2OwOgff2n8VftpXB5PoPekiiDo8XZiM3NQaNJisajDY0Gq2+t41WWB0CM0f0w2VD+t5X32HDaoDu+78j+pvfQeZw1kGbRtyC5unPAKrwugjQnpSDputeg/L8fkTtXQ31qf9A5rBBVXUQqqqDiNn2G5iHzYRp5C2wDpoGyBWdPylRNzAhJiKiNoqrW/DM58X43nUxnEIGLL5sMH46eYinJVqMRomB8aEcJbVhM0J96r/QFG+A5tSXkNmcFykKpRbN038H88hbQjzAjtnS8tE0ew1kxlpoj6+H9uh7UNYehcxuhrbkY2hLPoY9uj/MuQthHPVDOOKGhHrI1EswISYiIg+zzYHXd5zCm7vPePryjkyLwRMzcpAbIcsP9zl2M9TlW6Ap/hjqsi8gt+p9dtuSctE048+wJ48I0QC7T+iSYRx7F4xj74Ky+jA0Re9De3w95KZ6KPTnELVvNXT7X4Y583oY8+6BLS0v1EOmCMeEmIiIIITA16W1WPX1SZyqNwIANEo57p2SgR+MG3jRFdtIAlYDovaugrL2KIRCC6h0EEr3jxZCqQOUWgiFBqrz+6A+sQlyS5PPU9ij0mDOuh7mrHmw9R/Xbm/hSGHrNxq2fqOhv+IJqMv+A23R+1Cf2gyZsENbsgHakg2wpE+CMe9eWDKuiej3SqHDhJiIqA9zCIHNxTVYs6McxdWtM4sThyTgscJsDErouB0XBZai7jjiPrsXyvrj3X6sQ5cCc+b1MGfNgXXAxN5XZ6vQwJI5G5bM2ZA3nYHu0Bpov/875FY91BU7oa7YCVtCJox5P4MpdwGg7HwpcAgHE2gCwISYiKhPsjsEvjxWjTU7y3GytnXltdQYNZZMzcD1l6RBJuOscDBpitYhdstjkNmcM/TWfmMAhQawGSGzmSCzGV0/Js99HJoEmDNnw5w1D9aBkwF53/hv3RE3CPqpT8Fw2YPQHnkHukOvQ6E/B2VDKWK/ehTRO1+EcdRtENokyEz1kJvqvf6sg9x1GzYTbGl5sGQUwjysEPakEQCP+z6Jbde6gW3XgoOtZ6THGAdHOMbZ5hDYdLQKr+8sR7mrNAIA0uM0+MmkIZhzSRrUysiZMQvHGHeb1YiYrU9Cd/Q9AICQq9Ey9SmYRv/44smZEIDd5EyYgzDDGfZxtlugKfkYUftfgbL2qP9PEzsIloxrYR42A9b0yYBCHcBBdizsYxxB2HaNiIja1WK24ctj1Vi767TP8siDE7S4fdIQzB6Z2uVFMyhwFPWliPvsZ1DWHQMA2OOGoGnmX2FLvbTjB8pkna4u16co1DDnLoQ5ZwFUZ7Yiav8rUJ/eAgBwaOIhNAlw6JLg0CZCaBNdfyYBEFCXb4Hy3B7IhAOK5jPQfbcWuu/WwqGKgXXIlTBnFMIyeDpEdGpo3yNJigkxEVEvdbbRiK2lddhaWot9Zxphc7R+IZiRpMMdk4ZgxohUXjAXIprj6xG7+VHIbM6SFfPwWWguWAGhYS87v8lksA6ejsbB0wGrEVCoOi0jMUx4ADJjnbNdXdkXUJVvgdzaArm1BZrST6Ap/QSAs1uHZdBUWAdPgzV9MoSaXVd6k16bENfW1uJ///d/sWvXLigUCsybNw+PPvoolMpe+5aJSCImqx3nm81tfqwOAa1SDq1SAa1KDo1SDq1K4dymkiNKrURKoh5WkxUquQxa5QX3UcqhVMhhsTnQaLKi0Whz/WlFg9GKRpMNDUYrmkw2RKsVSIvV+PykxGh8klm7Q+DIuWZsLa3F16W1OOFVG+yWmRKFOycNwTU5/aBgIhw4wgFl1SGoy76EXF/pnJHUJkJ4z0pqEuHQJQFKHaK3Pw3d9+84HypXQX/FEzBe+lPWrwaSqusz6EKXBPOIhTCPWAjYzVCd3QFN2RdQl30JRfMZAICy7phzJv/QGgiZAra0fFeCPBXWtHHSlFcIAbmhCoqGUigaTkBRfwJyw3nIrEZPTTk89eWtdeYA4NAmQLiOOd+Zceef9rghsKXl95m688702hrixYsXIy0tDU8//TRqamqwZMkS3Hjjjbjrrrv8fk7WEAcH66ik19dibLY5vFZTs0JvtsNsc8Bks8NkdbR7u85gxflmM6qazWg02SQbm0IG2P08C8tlQEq0GmmxGiToVDhc2Yx6o7XN/XL6RWNaZjKmZSZjZFoM5L0o6QrpsWw1Qn1mG9Rln0Nd9h8oDFXdfgp77CA0zfyLMzEJY33tnOEhBBT1xVCd2Qb16W1QVXwLuaW57d2UOljT8mDtPwG2/hNg7T8OQtuNVRqtBmiaTyLOcgbGs0chqy1xJsANJyC3tgTwDflyaOJhGVoAS0YhLEOugtDESfZaweRPDXGvTIhPnTqFGTNm4Ouvv0ZaWhoAYOPGjXjppZewefNmv5+XCXFw9NkTbw8IIdBitrtmFa3QW+yIUSsQr1MhQadCtFrh0zGgN8TY7hCo1VvazNrW6i1tlhQ2WgP7HjVKOdJiNdAo5c4E2upOsJ0JdSBfJ16rRJxWhRazDdUt5i4lzyqFDBMGJziT4OFJ6B/XhfZTEapHx7LDDpm5wdOBQGYztvb9VWjb9P2FXAG5/hzUZV86f05vhcxu9nlKIVfCHj8MMnOT83ldSya3x5xRiOZr/tC9xClEesM5IyAcNiirDkJ9ZjtUZ7ZCVbn3on/HtsQsWPuPdyXIE2BPGAZ581ko3bO9DSegqC91zv7qz3Xt5XUpsMcOglBF+/ak9upT7awtF226arh/l5sb231uIVfCOmASLMMKYc4ohCN+qM/7ljedhtI97gbXuBtOwp6Ui8br3wjqBYid4UV1LsXFxUhISPAkwwCQmZmJiooKNDU1IS4u/D8BHalswoYj531q/noF4ex7anN4/dgdsAsBm935u10IQCaD2WqH1e7wbLc5BOyexzkQqI9yKoXc56tsjeurbPdtjVIeVl8tOxwCTSab5yt251fq1g4TJYVchnit0pMgJ0apkBSrRYvBAqOldbbUmdy13rbaBdRKeZuv+r1jpVHIgU7CY3cImF3Joslq9ySO3omk3SGgVblfS9HubYtdoMqV+FbrLZ6V1HpKpZD5lj0oFYjVKtuUKLh/4rXKi7YkcwgBi+s92YSAJkqDqtoWtJhsnvfq/b5NVjs0SgUSdK1/P/FaJRJ0Ks8Syd5xbO9DgPuDwOBEHaZnJmPS0EREqcO7B62ivhTaw296vt71l1wmAzRKRJltcHRwUpDZrW0TBHMTZOj6MSTk6naTH+cs2zWuWbYrW2fZhACsBleLrzqf13fEDoIlo5AlEpFGroSt/3jY+o8HJiwDrEaoKndBffZbKM/vher8fs9y2cr6EijrSwB39xDIunS8CaUW9vhhsCVkwp4wHPbE4bC7bgekvtxhg8zUAFXVAahPfgH1qS+h0J+HzGGD+ux2qM9uR8y25bAl5sAenwFF4wkoGk9B5mj77RMAKPTnIDfWwhEzoOdjC6FemRDr9XrodL61Q+7fDQZDlxLiqqoqVFdX+2zTamOQmBgNRRCuxH5pcymOVLb9WoakYA/1ACRndwjUGayoM7R/QuuQufO7BEpzD15LLgP6xWiQEqNGgiuxTNCpEO9KNBN1KsS7fmI1Cq/kXhHwDzxqlQIxABQKOeLidEjRKGC393xWTQkgXa1DemLkdxeI3rMC6uMfB+z5NAF7povzTobtiZmwDiuEdfgM2AZM8NRhtvkYoooFomIBDIGA79kmkv4Ddv+/F4z//yKKMhpi+NUwD7/aeaq0W6GoOQpl5W4oK/dAUbkHiuazAOCTDAvI4IgdCEdiJuyJmXAkDodIzkb04EvQLEtGe6eLwH3EVQPqVDjiZsCUNQMm4YCi6jBUJzZBdfILKKsPO99a/fF2F4gRkMERNxiOxOHOfwcZ10CeMBCRfmRE0r/HLouKioLR6Dvr4P49Ojq6S8/x3nvvYfXq1T7bli5dimXLliEuTvr/jO6aPhyvfn0SNkfv+2pKLpNBqZBBKZdD5fpTqZBBpXDOxPps89qnlMug8NoWiDpIIQCr3QGj1Q6T1e7502R1wGhp/b2jmadgk0HmTPCiVUiMUiMhSo2kaBUSotRIdN2O1ijRbLKhXm9Bg8GKOoMF9QYLGvTO2w0GC5pNNmhUCuhUcuhUzgRRp1JAq1ZAq1RAp5ZDKW8tCXDHx2hxzvCaXPEx2zr/QCGXyTzPr1M7/9S4Xte9TS6TOet4PXF3eP19OLfJZTL0j9MiPUGHAfFaDEjQYWCCFgPidUiN1YRt27BgnDMizsTbAf1ZwNL2wj9JyJVAVCKgSwKikoGopLa31VGAzQRYTYDV4OxSYPO6bTUCqiggswCKlCwoAPTeYpT28VjugpTLgRGXt/7eeBY4swtoKAcShgIp2ZAlDYdCpYMCgOqCh4fkO+wk95iXA41ngOOfAcc/B0wNQHIWkJwJJGcDyVmusWs9Y+8t/wZ6ZQ1xWVkZZs6cie3btyMlJQWAs4b4hRdewJYtW7r0HBebIc7MHIqmJmNAZnuofe5ZNcZZOoxxcDDO0mOMg4Nxlh5jHDiJiV2b/PTWK2eIMzIyMH78ePzud7/Db3/7W9TX1+Pll1/GwoULu/wcqampSE31bcJdX68HANjtjr59UUGQMM7SY4yDg3GWHmMcHIyz9Bjj0AjP7xfBa8NAAAAPQUlEQVQDYOXKlbDZbLjmmmtwyy23YNq0afj5z38e6mERERERUZjplTPEAJCSkoKVK1eGehhEREREFOZ67QwxEREREVFXMCEmIiIioj6NCTERERER9WlMiImIiIioT2NCTERERER9GhNiIiIiIurTmBATERERUZ/GhJiIiIiI+jQmxERERETUpzEhJiIiIqI+jQkxEREREfVpTIiJiIiIqE9jQkxEREREfRoTYiIiIiLq02RCCBHqQUSKqqoqvPfee1i0aBFSU1NDPZxei3GWHmMcHIyz9Bjj4GCcpccYhxZniLuhuroaq1evRnV1daiH0qsxztJjjIODcZYeYxwcjLP0GOPQYkJMRERERH0aE2IiIiIi6tOYEBMRERFRn6ZYvnz58lAPIpJER0dj4sSJiI6ODvVQejXGWXqMcXAwztJjjIODcZYeYxw67DJBRERERH0aSyaIiIiIqE9jQkxEREREfRoTYiIiIiLq05gQExEREVGfxoSYiIiIiPo0JsRERERE1KcxISYiIiKiPo0JMYC6ujoUFhZi586dnm1btmzBjTfeiPz8fMybNw9ffPGFz2Ouu+46jB07Fvn5+Z6f0tJSAIDBYMBjjz2GSZMmYfz48XjkkUeg1+uD+p7CjT8x3rRpE+bMmYO8vDwUFhZi3bp1nn12ux0vvPACrrjiCuTn52PJkiWoqqoK2vsJV92N8/XXX+9zDOfn5yM3NxevvPIKAB7L7elujB0OB/74xz9i+vTpGD9+PG655Rbs2rXLs58xbqu7MRZC4NVXX0VBQQHGjRuH22+/HcePH/fs5/nCV1FREe644w5MnDgRU6ZMwSOPPIK6ujoAwMGDB3HzzTcjPz8fBQUF+OCDD3weu379ehQWFiIvLw/z58/H/v37PfsY51Y9ibHbG2+8gcWLF/tsY4wlJPq4PXv2iGuvvVbk5OSIHTt2CCGEOHz4sBg1apR4//33hdVqFbt37xb5+fme/c3NzSI3N1ecOXOm3ef81a9+JX7yk5+I+vp6UVNTI2677TaxfPnyoL2ncONPjL/99luRl5cnvvrqK+FwOMS3334rRo8eLQ4ePCiEEGLVqlVi7ty5oqKiQjQ3N4sHH3xQ3H333SF7j+HAnzhf6I9//KO44YYbREtLixCCx/KF/InxO++8I2bPni3OnTsn7Ha7eOONN0ReXp4wmUxCCMb4Qv7E+M033xQTJ04Ue/fuFVarVfztb38TkyZNErW1tUIIni+8GY1GMWXKFPF///d/wmw2i7q6OnH33XeLe+65RzQ0NIiJEyeKt99+W1itVvHNN9+I/Px8z3l3x44dIj8/X+zZs0dYLBbxxhtviEmTJgmDwSCEYJzdehJjIYTQ6/XiueeeEzk5OeK2227zeW7GWDp9OiH+5z//Ka666irxySef+Jx8X3rpJbF48WKf+/76178WDzzwgBDCmaxNmjSp3ec0GAxi1KhRYu/evZ5tBw4cEJdeeqnnpNGX+Bvje+65R/zhD3/w2X/s2DFRX18vhBBi+vTp4uOPP/bsq66uFrm5uaK8vFzKtxO2/I2zN/eHkJMnTwoheCxfyN8YP/3002LWrFmioqJC2Gw2sXbtWjF58mRhMpkY4wv4G+Obb75ZrFq1ymf/rFmzxDvvvCOE4PnCW2lpqfjpT38qbDabZ9uXX34pxo0bJ95//30xY8YMn/v/+te/Fo888ogQQoiHH35YPPnkkz77Z82aJdatWyeEYJzdehJjIYS49tprxS9+8Qvx1FNPtUmIGWPp9OmSialTp+KLL77A7Nmzfbbb7XZERUX5bJPL5Thx4gQA4LvvvoNOp8Ntt92GSZMmYf78+di8eTMA4NSpU7BarcjJyfE8NjMzEyaTCWVlZdK+oTDkb4wPHTqEhIQE/OxnP8OkSZNwww03oLy8HAkJCWhubsa5c+d8YpySkoL4+HgcO3ZM+jcVhvyNs/f9nnrqKSxZsgQZGRkAeCxfyN8Y/+AHP4DJZMJVV12FMWPG4E9/+hNWrlwJjUbDGF/A3xh3tJ/nC1/Dhw/Ha6+9BoVC4dm2adMmjBo1CsXFxT5xAoCsrCwUFRUBAEpKSi66n3Fu1ZMYA8Bbb72FFStWIDk52ed+jLG0+nRC3K9fPyiVyjbbCwsLsW3bNmzatAk2mw179+7Fxo0bYTabAQAymQxjxozBM888g61bt+L222/H/fffjwMHDqClpQUAfE7OOp0OAPpkXaC/MW5sbMSaNWuwZMkSbN++HUuXLsVDDz2EgwcPeuJ44X+AWq22T8YY8D/Obhs2bIDBYMCPf/xjzzYey778jbHVasXEiRPx6aefYt++fbjrrruwbNkyVFdXM8YX8DfGM2fOxFtvvYWjR4/CarXi3XffxcmTJ2E2m3m+6IAQAn/84x+xefNmPPHEE9Dr9Z7jz02r1cJgMABAh/sZ5/Z1N8YA0L9//3afizGWVp9OiC9m3LhxePHFF7F69WpMmTIFa9aswfz58xEXFwcAuOuuu7By5UpkZGRArVZj3rx5uOKKK7Bp0ybPgWo0Gj3P574dExMT/DcTpjqLsVqtxoIFC5Cfnw+lUokZM2bg8ssvx6ZNmzwnE+8YA4DJZEJ0dHTQ30s46yzObu+//z4WLVoErVbr2cZjuWs6i/EjjzyC6dOnY/jw4dBqtVi6dCliY2Px2WefMcZd1FmM77zzTtx4441YunQprr76apw4cQJTp05FXFwczxcX0dLSgmXLlmHDhg14++23kZubC51OB5PJ5HM/7zh1tJ9xbsufGHeEMZYWE+J2NDQ0IDs7Gxs2bMDOnTvx8ssvo7KyEqNHjwYArFmzBt9++63PYywWCzQaDYYNGwaVSoWSkhLPvtLSUqhUKs9X0dR5jDMzM2GxWHweY7fbIYRAfHw80tLSfGJcXV2NhoaGNl9F9XWdxRkAampqsG/fPtxwww0+j+Wx3DWdxbiioqLNsaxUKqFSqRjjLuosxufPn8fChQvx3//+F9u2bcOjjz6KoqIijB49mueLdpSXl2PBggVoaWnBunXrkJubCwDIyclBcXGxz31LSkqQnZ0NAMjOzr7ofsbZl78x7ghjLC0mxO04deoUbrnlFhQVFcFms2Hjxo3YvHkzfvjDHwIAKisr8Zvf/AanT5+GzWbDunXrsH//ftx0003Q6XS47rrr8Pvf/x51dXWoq6vD73//e8yZM8dn9q2v6yzGt956K95991188803cDgc2LRpE3bu3Ik5c+YAAObPn4+//OUvOH36NFpaWvC73/0OEydOxJAhQ0L5tsJOZ3EGgH379iE1NRWDBw/2eSyP5a7pLMYFBQWeY9VqteLNN99EdXU1rr76asa4izqL8SeffIKf//znqK+vh16vx4oVK6BWq1FQUACA5wtvjY2N+MlPfoJx48ZhzZo1SEpK8uwrLCxETU0N1q5dC6vVih07dmDDhg1YsGABAGDhwoXYsGEDduzYAavVirVr16K2thaFhYUAGGe3nsS4M4yxhEJ8UV/Y8L6iWQgh/v73v4urr75a5OXlifnz54tvvvnGs89sNotnn31WTJ06VYwdO1YsWLDA57HNzc3iySefFFdccYW47LLLxK9+9Suh1+uD+n7CUXdiLITzivM5c+aIvLw8cf3114vPP//cs89isYiXXnpJTJs2TYwbN04sWbJE1NTUBO29hLPuxvm1114TCxcubPe5eCy3rzsxbmlpEU8//bSYNm2amDBhgvjRj37k02KJMW5fd2JssVjE8uXLxeTJk8X48ePFPffcI06fPu2zn+cLp9dff13k5OSIsWPHiry8PJ8fIYQ4dOiQWLRokcjPzxfXXHON+PDDD30e/69//UvMnDlT5OXliYULF4oDB/5/O/fzCt8ex3H8pW6ivimSn8lskGRCFgY1EgvC5MdGQ0mKZomSREkUkR9ZWFD+AmoWSH6slOTHnQXym6RQRISQ+S5u36lv37u7l8mc56Nmc85p5vM+q2dnPp2/Pee4z//4r/f4l5GRkT/eMsE9/jx+brfb7e0oBwAAALyFLRMAAAAwNIIYAAAAhkYQAwAAwNAIYgAAABgaQQwAAABDI4gBAABgaAQxAAAADI0gBgAAgKERxAAAADA0ghgAAACGRhADAADA0AhiAPAB3d3dysvL++3Yw8ODzGazFhcXtbm5KbvdLrPZrJycHHV2durx8dFz7eXlpZqbm5WZmamkpCRZrVYNDg7q4+NDkjQ1NaXc3Fx1d3crPT1dDQ0NXzofAHwmghgAfEBFRYXOz8+1vr7uOTYzM6MfP34oOjpaNTU1ysrKktPpVH9/v7a3t1VbWyu32y1Jqq+v1+3trSYmJjQ3N6e6ujqNjY1paWnJ830XFxe6urrS9PS0mpqavnxGAPgsBDEA+ICEhAQlJSXJ6XR6jk1PT8tms2liYkIWi0UOh0Mmk0np6ekaGBiQy+XS2tqaXl5eZLPZ1NXVpcTERMXExKi6ulphYWHa29v77XccDodiYmIUFxf31SMCwKchiAHAR5SXl2t2dlavr686OzvT1taWSktLtbOzo5WVFaWmpno+JSUlkqSjoyMFBASoqqpKGxsb6unpUX19vaxWq66vrz1bJn4xmUxemAwAPtdf3l4AAOD/UVxcrN7eXi0vL2t/f1/JycmKj4/Xx8eHiouL/3Xfb0hIiJ6fn2W32/X8/KyCggLZbDa1t7fLbrf/cX1AQMBXjAIAX4ogBgAfERQUpPz8fM3Pz2t/f1+VlZWSpLi4OB0cHCg2NtZz7fHxsfr6+tTY2KjT01Ntb29rZWVFoaGhkqS7uzvd3Nx49hgDgC9jywQA+JDy8nItLCzo7OxMRUVFkqTa2lrt7u6qo6NDh4eHcrlcam5u1snJiUwmkyIiIiRJTqdTFxcXWl9fl8Ph0Nvbm15fX705DgB8CZ4QA4APsVgsCg4OVlpamoKCgiRJKSkpGh8f1/DwsMrKyhQYGKiMjAy1tLTI399fZrNZra2tmpyc1NDQkMLDw1VYWKjIyEi5XC4vTwQAn8/Pzf9hAOAznp6elJ2drdHRUWVmZnp7OQDwLfCEGAB8wP39vVZXVzU7O6uoqChZLBZvLwkAvg2CGAB8wPv7u9ra2hQSEqKhoSH5+fl5e0kA8G2wZQIAAACGxlsmAAAAYGgEMQAAAAyNIAYAAIChEcQAAAAwNIIYAAAAhkYQAwAAwNAIYgAAABgaQQwAAABDI4gBAABgaD8BmEq4qtGRVkwAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 800x550 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "carsale.sort_values(['car','model','body','mileage','year'])\n",
    "\n",
    "df = carsale.groupby('year')['registration'].value_counts().sort_values(ascending=False)\n",
    "df = pd.DataFrame(df)\n",
    "df.rename(columns={'registration': 'RegCounts'}, inplace=True)\n",
    "df.reset_index(inplace=True)\n",
    "display(df.head())\n",
    "sns.lineplot(data=df, x='year', y='RegCounts', hue='registration')\n",
    "#sns.scatterplot(data=df, x='year', y='RegCounts', hue='registration')\n",
    "plt.title(\"Years group having max sale/registration\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " - This graph shows in which Year was the highest registrations, and hence shows max sale was done in the Year __2008__. \n",
    "    <br>This info can be use to start working/research why sale was max in this year.\n",
    " - What was the factors affected this sale/registrations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 162,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Anaconda\\lib\\site-packages\\scipy\\stats\\stats.py:1713: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.\n",
      "  return np.add.reduce(sorted[indexer] * weights, axis=axis) / sumval\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Text(0.5,1,'year - price lineplot (1950 - 2010)')"
      ]
     },
     "execution_count": 162,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x550 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.lineplot(data=carsale, y='price', x='year', hue='drive')\n",
    "plt.title(\"year - price lineplot (1950 - 2010)\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 163,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Anaconda\\lib\\site-packages\\scipy\\stats\\stats.py:1713: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.\n",
      "  return np.add.reduce(sorted[indexer] * weights, axis=axis) / sumval\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Text(0.5,1,'year - price lineplot (2010 - 2016)')"
      ]
     },
     "execution_count": 163,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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gn/ft28ePP/4Y3NKsIrp16wYU7+JxsNmzZ3P//ffTqlUr6tevz+7du0v1q3Hjxjz66KOldhWpbj169MDlcmFZVql7b9q0iXnz5pWaErN69epSAex///sffr+/3LEo+WLwzjvvlGp/7733CAQCwTE51FSJg5X8vqSlpZVqf+WVV3jkkUcYNmwYzzzzTLlvaHv37s0333xDVlZWqecoLCykd+/eR7x3iZNOOolmzZrx0UcflWr/6KOPaNGiRXC7uj9r1apVqXFt1arVIe/x2GOP8dJLLzFu3Dhmz55d7u9l7969+eSTT0r9HD788EPsdju9evWq8PP069cPm83Ge++9V6p95cqVJCYmltlzOjU19ZDPKCIH6A21iNSYbt260apVK9auXVtq0R3AxIkT+etf/8r111/PpZdeSmRkJEuXLuXjjz/m8ccfB4oXAj755JMsWLCALl26sGPHDp5++mm8Xi9ut7tG+16yqG/KlCnY7Xbmzp1LQkJCpaogdujQgWHDhjFr1iw8Hg8dO3bk888/Z8WKFcyZMwe73c7NN9/MPffcg91uZ+DAgeTl5fHkk0+yb98+OnbsWGPP179/f8444wwmTpzIxIkTad26NT/99BNPPPEEffr0KfVGOC0tjQkTJnDllVeSmprKY489Rp8+fejZs2eZ67Zp04YLL7yQuXPn4vF46NmzJ+vXr2fu3Ln07NmTvn37Agfe3r/77rucdtppNGvWrMy1unfvTlRUFN9//33w7XBGRgYPPvggTZs25YorrijzpaN58+YkJydz2WWX8dJLL3H11Vdz4403kpOTwyOPPEK/fv1KzS2viIkTJ3LHHXeQmJjIoEGDWLlyJR988AGzZ8+u1HXKs379ehYuXMipp57Kueeey7p160odb9OmDXFxcVx77bW89957XHvttVx99dVs376dxx57jDFjxtCkSZMK369Zs2ZcccUVLFq0CIfDwRlnnMGqVat4++23ufvuu3E6ncFzLcvihx9+qJXKnyJ1nQK1iNSoAQMGkJGRUWZhXocOHViyZAmzZ8/m9ttvx7Is2rVrx7x58xg8eDAA119/PdnZ2bzwwgvMmzePJk2acP7552Oz2Xj66afJzc2tsWkRJ5xwAldffTUzZszA7XZz1llnMX/+/FLzdCvikUceYe7cubz44otkZ2fTsmVL5syZw7BhwwC45JJLiI2NZdGiRSxdupSYmBhOP/10Zs2aVW7IrC6GYbBgwQL+/e9/8/TTT5OZmUmjRo0YN24ckyZNKnXueeedR0JCAlOmTCEmJoYLL7yQm2+++ZDXfuCBBzjppJN47bXXeOaZZ0hJSWHs2LFMmjQp+Gb6nHPO4a233mLatGmMHj263K3joqOj6devH59++mlw3+RPP/00uI3c5ZdfXuYzDz74IBdddBHJycm88MILzJgxg1tvvTU4BamkmEllXHTRRXi9Xp599llee+01mjVrxsMPP1xmW76jsXz5cizL4pdffmHMmDFljr/wwgv07NmT1q1b8+yzzzJz5kwmT55MUlIS48aN4+9//3ul73nnnXfSuHFjli5dyoIFCzjxxBOZPn16qS0uoXhnnpycnODvqogcms063PJhEZEqsCyLkSNH0rNnz3L3Dg5X06ZNY+3ataxcuTLUXQm5QYMG0aNHDx566KGQ3P/nn39mzJgxrFixQlMPatkdd9xBbm5ulQsliRwPNIdaRKpdQUEBc+fO5YYbbmD79u2ldvcQqYxOnToxbNgwFi1aFOquHFf27t3L8uXLj+oNuMjxSIFaRKpdVFQUr7zyCj///DMPPPAAzZs3D3WXpA675557+PTTT0stEpWaNWvWLMaPH0/79u1D3RWROkFTPkREREREqkBvqEVEREREqkCBWkRERESkChSoRURERESqQIFaRERERKQKVNilFmVk5NfavQzDRnJyLFlZhZim1p3WFo17aGjcQ0PjHhoa99DQuNe+UI15w4bxlf6M3lAfowzDhs1mwzBsoe7KcUXjHhoa99DQuIeGxj00NO61ry6NuQK1iIiIiEgVKFCLiIiIiFSBArWIiIiISBUoUIuIiIiIVIECtYiIiIhIFShQi4iIiIhUgQK1iIiIiEgVKFCLiIiIiFSBArWIiIiISBUoUIuIiIiIVIECtYiIiIhIFShQi4iIiIhUgQK1iIiIiNS6Z555mhtvHF/usVtumczixc/Uco+OniPUHRAREREROdijjz6Ow1F33vvWnZ6KiIiISJ3188/ruPbaKxkypA8TJvyN1NS9ALz//jtcc81Ybr55EsOGDWD58g+58cbxLFz4FDt37uTMM7uxc+f24HV27NhO//492b9/P5Zl8eqrr3DppRcxbNgAJk68lg0b1tf6sylQi4iIiEiNys3N4bbbpjBgwCA+/PATJkyYzOrVnwSP//77es4551zefns5/fsPCLY3b96cbt2688EH7wXb3nvvbXr1OosGDRrw+uuv8sorL3H//Q/z7rsfM3z4SKZMmUhWVmYtPp0CtYiIiIjUsC+//Jzo6Gguv/wqHA4HnTt34bzzRgWPO51Ohg4dTkREBJGRUaU+O2rUhSxf/gGWZREIBFi+/ANGjDgfgDfeeJWxY6+mTZu2OBwORow4nxYtWvLRRx/U6vNpDrWIiIiI1KiMjHRSUhphs9mCbU2bnsjGjb8DkJxcH8Mo5z2vZTFgwCAeffRhfvjhO4qKirAskzPP7ANAaupe5s2bw1NPPRH8iN/vp0OHk2v2gf5EgVpEREREalRKSiPS0lIxTTMYnNPT04PHDw7apeTsIsKI5ZxzhrNixYe43W6GDRuBw1EcYRs2bMS1117PkCFDgx/Zs2c3CQn1au5hyqEpHyIiIiJSo3r37odlWTz77AJ8Ph8bNqznnXfePPIHc3YAMHLkBaxe/QlffLE6ON0DiqeDPP/8M+zYsR2ANWu+YuzYv7Bu3fc18RiHpDfUIiIiIlKj4uPjefTRJ3jssYd45ZWXOPHE5gwYMIidO3cc8jM2nwssC4BWrVpz4onNcTgcNGvWPHjOmDGXARZTp/4fmZn7adiwITfffDt9+vSv6Ucq3VfL+qOnUuMyMvJr7V4Oh0FSUizZ2YX4/Wat3fd4p3EPDY17aGjcQ0PjHhoa99oXkfkL9aIhO6YdfiJq7b4NG8ZX+jOa8iEiIiIi4aUoD1ugKNS9qDAFahEREREJK0bBXrBHhrobFaZALSIiIiLhw+/B8OaFuheVokAtIiIiImHDyN8NRt15Ow0K1CIiIiISLswAhicHDrUvdZhSoBYRERGRsGDL3wuGPdTdqDQFahEREREJPcvCcGeATYFaRERERKTSbO4MbNTN8igK1CIiIiISckbBPjCcoe7GUVGgFhEREZEa97//rWDEiLMZOrQ/X3yxuvTBgwq5vLvycy64/jYA1qxbT68+Z9V2VyvNEeoOiIiIiMix75133mDIkHOYMuW2MseKC7nUXnnx6hYWgTorK4sxY8Ywffp0evbsCcC6deuYPn06mzdvJikpiQkTJnDJJZcEP/PGG2/w5JNPkpGRQatWrbj77rvp2rUrAIFAgFmzZvHWW2/hdrvp1asX9957LykpKQBkZmZy9913s3btWux2O6NGjWLq1Kk4HI4K3VtEREQknBQU+dme5arVe7ZIjiEusmJR8rrrruT33zfw44/f8/rrr2KaJq+++jZNmpwAfg/PvPQy3/+2mfn3T63hXteMkAfq7777jmnTprFz585gW25uLuPHj2fy5MmMGTOGb775hkmTJtG+fXs6d+7MmjVruP/++1m4cCGdO3dmyZIlTJgwgVWrVhEdHc38+fP54osveO2114iPj+fuu+/mH//4BwsWLABgypQpNGrUiNWrV7N//34mTJjA4sWLufbaa494bxEREZFwUlDkZ9TCteQX+Wv1vvGRDt6+rkeFQvXChS9w443j6dq1G8OHj+SSS0YFjxn5u+rkzh4HC+kc6jfeeINbb72Vm2++uVT78uXLSUxM5PLLL8fhcHDmmWcycuRIlixZAsCrr77KeeedR7du3XA6nYwbN46kpCTef//94PHrrruOJk2aEBcXx1133cVnn33Grl272LFjB2vXruW2224jOjqaZs2aMXHixOC1j3RvEREREakmZgDDkxvqXlRZSN9Q9+nTh5EjR+JwOEqF6k2bNtGuXbtS57Zp04Zly5YBsHnzZi6++OIyxzds2EB+fj5paWmlPt+gQQPq1avH77//DkBiYiKNGjUKHm/dujV79+4lLy/viPeuqPT0dDIyMkq1ORwxwWknNc1uN0r9p9QOjXtoaNxDQ+MeGhr30AjncU90RPDehF5sz6zlKR/1Y4iv4JQPAJvNhmHYSo2l052K4XBiGDZstuK2kn837AeqJToc4TfuBwtpoG7YsGG57YWFhURHR5dqi4qKwuVyHfF4YWEhADExMWWOlxz782dL/lzy+cPdu6KWLl3K3LlzS7VNmjSJyZMnV+o6VZWQEH3kk6TaadxDQ+MeGhr30NC4h0a4jnsS0LxxvVB347CcTjvR0REkJ8cBEBNtJ9GRA4mxuDxuHHaDhIQooqOdGDYbcbGRwc8mJcWGqtsVEvI51OWJjo4mPz+/VJvH4yE2NjZ43OPxlDmelJQUDMNut7vcz1uWVeZYyZ9jY2OPeO+KGjNmDIMGDSrV5nDEkJ1dWKnrHC273SAhIZq8PDeBgFkr9xSNe6ho3END4x4aGvfQ0LhXnc8XwO32YrdHk5CQwGuvLOG6Uf34fcdePlj1NS2aNSEvz4Pb7cO0LAoKi4Kfra38BEcX3sMyULdr144vvviiVNvmzZtp27YtAG3btmXTpk1ljvfr14969erRqFEjNm/eHJy6kZGRQU5ODu3atcM0TXJycti/fz8NGjQAYMuWLTRu3Jj4+Pgj3ruiUlJSykzvyMjIx++v3f8SBgJmrd9TNO6honEPDY17aGjcQ0PjfvQsy8I0LWw2O7fffhfPPP1vlix9lQ5tWnL+2f34cf0mAgET07SwLDADB6omhvuYh+WElLPPPpv9+/ezePFifD4fX3/9Ne+8805w3vTo0aN55513+Prrr/H5fCxevJjMzEzOPvtsAC666CLmz5/Prl27KCgoYMaMGfTo0YPmzZvTokULunXrxowZMygoKGDXrl08+eSTjB49ukL3FhEREZHKmzt3Addccz0AA3t15+XH7mHlf+bz5H23c/1lFwW3zBsxqA9vPv0IAD1PO5mvP/8yZH2uqLB8Q52UlMSzzz7LAw88wOOPP05ycjL/+Mc/6NWrFwBnnnkm//znP/nXv/7Fvn37aNOmDQsXLiQxMREonqvs9/u5/PLLKSwspGfPnsyZMyd4/ccff5z77ruPwYMHYxgGF1xwARMnTqzQvUVERESkamx1vJDLn9ksy7KOfJpUh4yM/COfVE0cDoOkpFiyswvD/q9JjiUa99DQuIeGxj00NO6hoXGvRj43joyfwRF12NPsdoOEaMiOaYef2gvfDRvGV/ozYTnlQ0RERESOTUbBbrBHHvnEOkSBWkRERERqh+kvLuRisx353DpEgVpEREREaoWRvxeMsFzCVyUK1CIiIiJS8ywLm3s/2I69+HnsPZGIiIiIhB2bKx0bx+ZeGArUIiIiIlLjjMJ9YDhD3Y0aoUAtIiIiIjXK5snBFvCGuhs1RoFaRERERGqUrSD1mCrk8mcK1CIiIiJSc3xuDG/tFbcLBQVqEREREakxx2Ihlz879jYCFBERETnO2IrysGdvrtV7BpLaYEUmHP6kkkIu9gj2pu/nohtu59KR5/Duys85p29PupzSjsWvvUdaRiYnNk5h4hUX07PLqQBkZGZzz/Mv8+PGXWRlZZGc3ICrrvobI0acD0CfPt0ZPXoMK1Z8SMeOnZk5c3ZNP/IhKVCLiIiI1GG2ojySXzwToyi3Vu9rRtYja+xXhw3V5RVycXk8vP/sHFZ+9S0PP/UCj9wxmc4d2vLVDz9xx8x5LHroH7Rq3pTp856jQWIsL7+4BJszlldffZnZs2cyaNDZxMTEALBnz25ee+09fD5fjT7rkWjKh4iIiIhUP8sst5DL8AG9cTodfPjZV1w0bCBdO7bHbjfo070Lfc7owusffQLAXZN9GabKAAAgAElEQVSu5p83XYnD4WDfvjRiYmIpKioiLy8veK2zzx5GVFQU8fHxtflkZegNtYiIiEgdZkUmkDX2q7Cb8mErTMdWTnvD5EQAUtP38/0vv/P6h6sOXNM06d7pZAD2pKVz58ylbNuTwYnNTqJZs2YAWJYZPL9Bg4bV8CRVp0AtIiIiUsdZkQn4G58e6m6UYrjSy0z3AMBWHLNT6iczfMBZXHnRecFDaRmZREY48fv93Dx9Drf87WLOHTOBgC2SDRvW89FHH9RW9ytFUz5EREREpFrZPNlHLORywdn9+e97H/Pbpm0ArN+8jXG33cvyz9fg8wfwFHmJiozEZrORlpbG/PmPA4R8vnR59IZaRERERKqVUYFCLoPO6o7L42H63GdJ259JQlwsfx1xDn8ZPgSbzcY9k69h3kuvM/3Jl0lMSmLkyAvZtm0rW7dupnnzk2rpSSrGZlmWFepOHC8yMmpvU3OHwyApKZbs7EL8fvPIH5BqoXEPDY17aGjcQ0PjHhoa90rwuXBk/AqOqu09bbcbJERDdkw7/NRelcWGDSu/wFFTPkRERESk2hgFe6ocpusaBWoRERERqR6mH8OTE+pe1DoFahERERGpFkb+bjCcoe5GrVOgFhEREZGqs0wMd2aZQi7Hg+PviUVERESk2tkK90G5pVyOfQrUIiIiIlJlRuEhCrkcBxSoRURERKRKbJ5sbKY/1N0IGQVqEREREamS4kIux99ixBIK1CIiIiJy9HwubN7CUPcipBSoRUREROSoGfmhL+QSCATYu3dPyO6vQC0iIiIiRyfgwyiqWCGXj79Yy7nj/s7gKybx+bc/Vms3/vnPO/ngg3er9ZqVcXwuxRQRERGRKjMK9lS4kMtbKz5jSJ8e3HLt5dXej5yc7Gq/ZmUoUIuIiIjUcQW+AnYV7qjVezaLaUaiO7NCgfpvt9/Phq3b+eG333ntw5WYpsWlI8/h3ZWfc07fntw2fixvrfiMV95dzr79WTRpWJ+rLj6PMeeeBcCNN47n1FM78/PP69i4cQMpKY3429+uZ/Dgs3noofv56acf+eWXn/j99w3MnDm7ph+9DAVqERERkTqswFfAZasupsCfX6v3jXPE8t+O/yKuAoH62Zl3M+Huhzm9Y3vOG9SHi264HZfHw/vPzsHj9fLuys95/PmlPDz1Rrqe0p4ffvudqQ/PJTk+ku7ntAPg7bffYM6cebRs2ZrnnlvII488QJ8+/Zg27W52795F167duOaa62v6sculOdQiIiIiUnmWCbajfzc7fEBvnE4H8bExvLvycy44pz/dO52M3W7QvdPJXDR0AC+/twrTsgAYOHAw7dp1wOl0cu65IygoKCA7O7RTPUroDbWIiIhIHRbnjOM/A1+r3Skfnlxa+gPEOaKP+hINkxOD/56Vk0vTRg2Dfw5YFvH1Etm25zt8AROA5OT6weMOR3GEtSzzqO9fnRSoRUREROq4OGccJyd2rLX72ff/is0IVO0iNlvwX5ukNGBPWgamZZHl8pHt8rJj7z6SExOq2NPaoSkfIiIiIlJxPlfxP9Vo5OC+vPHRJ7zzxQ9kFRbx+6bNrPzsSwb361Whz0dERFJYWFCtfaoMvaEWERERkQoz8vdgs1dfIZd8j4/WHTpy2SUX8sIry9ifmUX9pCQu/8sFDOh9RoWuMWzYeTz66INs2LCeJ59cVG19qyibZf0x01tqXEZG7a2+dTgMkpJiyc4uxO8Pj/lFxwONe2ho3END4x4aGvfQ0Lj/IeDDse8HcERV+VKF3gAZBUX4AhYOu63MccOwEWH3k3zS6dirMFe7sho2jK/0Z/SGWkREREQqxMjfDfaIKl2jyG+yL9+Dx2/itBvlhum6RoFaRERERI7MMjE8WRWujPhnftMkLb8IlzeA027gtB87S/kUqEVERETkiGyFaRzNfhZ+y2J/QRF5Hj8Ow3ZMBekSCtQiIiIickRGYQYY9gqfb1oWmYU+st1e7MdokC6hQC0iIiIih2VzZWKz/GA78nQPy7LIdvvIcvkAjukgXUKBWkREREQOy3ClVWjudK7bx/5CL5ZlYT8OgnQJBWoREREROTRvYXEhl8PsPV3gDbC/oAh/wMJutwF1f+eOylCgFhEREZFDMgoOXcjF4wuwr6CIoj+2wLMfA1vgHQ0FahEREREpX8CH4ckFR+lA7QuY7MsvwuU79rbAOxoK1CIiIiJSrj8XcvFbFun5HgqKAsfsFnhHQ4FaRERERMqyTAxPNhgOTMtif6GXXLcPQ0G6DAVqERERESnDVpCKZUFWoZdslw+bDRwK0uVSoBYRERGR0iyLgsy97Hf5seC4XWxYUQrUIiIiIhKU6/aRvm83znwXdueht8qTAxSoRURERASX18/uHDdun0lSUQY2hekKU6AWEREROY4V+QLsznVTUBQgwmEQZbkx/G6swxRykdIUqEVERESOQ/6Aye4cNzkeP5EOgwhH8YLDKHeqwnQlKVCLiIiIHEcCpsXeXDdZLh9Ou41Ix4GdO2ymF7s3F8seFcIe1j0K1CIiIiLHAcuy2JdfRHpBEXabLfhG+mCRhXuxDL2driwFahEREZFjmGVZZBb6SMv3YMGhi7JYJk5vDpbhrNX+HQsUqEVERESOUTkuL6l5HvymdcSiLBGuNCxUuOVoKFCLiIiIHGMKivzsyXVT5LNwOmw4jlSYxbKIKMoEw147HTzGKFCLiIiIHCM8vgC7cty4vMVb4DkdFatw6CjKxGb6sewRNdzDY5MCtYiIiEgd5w+Y7Mpxk+fxE3HQFngVFenJUJiuAgVqERERkTrqz1vgVTZIAxi+AhVyqSIFahEREZE6xrQs9uUVkV5YhMM4uiBdIsqlQi5VpUAtIiIiUkdYlsX+Qi/78osAiDjCzh1HYjO92H35YReoA5bF6t0m67NM/pbgoWXD6FB36bAUqEVERETqgOxCL6n5HkzTwl7FIF2iuJBL+MydNi2LNWkWr2wMsKvAAiDux31MPTspxD07PAVqERERkTCW7yneAs/nt3A4bNiPtAVeRVmBsCnkYlkW32dY/Of3ANvyrGD7CbFw8WkpIexZxShQi4iIiIQhl9fP7lwP7j+2wHNUcAu8iopwpWHZQl/I5ef9Jv/ZGOD37ANBumE0/LWdg3NOMmmYHN7TPUCBWkRERCSseP0Bdud4KCgK4HRUbcHhIVkWEZ7QFnL5Pdvk5d8D/JR5IEgnRsIlbewMaWYQ6TSwG9ZhrhA+FKhFREREwoDftNiT4ybHXbwFXkWLshwNR1EmNkwsaj9Qb8s1eXljgG/TD4TleCdc2NrOuS0MIqtrSkstUqAWERERCSHTskjLK2J/QRH2o9xLurIi3em1Pnd6d0HxYsMvU81gW4wDRrWyM6KFQYyz7gXpEqGfOHMYv/76K5dffjndu3enT58+TJ8+Ha/XC8Cnn37KyJEj6dKlC+eeey6rVq0q9dmFCxfSr18/unTpwtixY9m6dWvwmMvl4o477qBnz55069aN22+/ncLCwuDxbdu2cdVVV9G1a1f69OnDU089VTsPLCIiIscNy7LYl+fh19R8sl1enA4Dw1bzodLw5WMEPDV+nxJpLosn1vmZ8qkvGKYj7XBRa4P5A538pa29TodpCONAbZom119/PUOHDmXt2rUsW7aMzz//nIULF7J9+3Zuuukm/v73v/Ptt99y0003MWXKFPbt2wfAG2+8wYsvvsgzzzzDmjVr6NixI5MnT8ayiv9q4f777yc1NZWPPvqI5cuXk5qayqxZswDw+XzccMMNdOrUiTVr1rBgwQKWLFnCBx98ELKxEBERkWNLVqGX9WkFpBd6cdhtGEbtBcooV1qt7Dud6bF4+mc/N33iY9VuExNwGjCiZXGQvqKDg/iIuh2kS4RtoM7NzSUjIwPTNINB2DAMoqOjeeONN+jevTtDhgzB4XAwfPhwzjjjDJYuXQrAf//7Xy677DLatm1LZGQkt9xyC3v37mXNmjW43W7eeecdJk+eTGJiIvXr1+fWW2/l9ddfx+12880335Cens7kyZOJiIjglFNOYezYsSxZsiSUwyEiIiLHgFyPj/VpeezOdWMzwFGLQRrAFijC7suv0XvkFFk895ufiat8fLTTJGCB3QZnNzeYN8DJ305xkBh5bATpEmE7hzopKYlx48bx8MMPM3PmTAKBAIMHD2bcuHHcdNNNtGvXrtT5bdq0YcOGDQBs3ryZ6667LnjM6XTSokULNmzYQGJiIj6fr9TnW7dujcfjYfv27WzatImWLVsSERFR6toLFiyoVP/T09PJyMgo1eZwxJCSUjt7KZZs+F5dG79LxWjcQ0PjHhoa99DQuIdGVce90Otnd7Ybjy+A02EPwVLAYpGuNGyOSGw1MLWkwGvx5pYA724L4AkUt9mA/icajGnnoEls5e5p/+PLht1u4KiFeeVVEbaB2jRNoqKiuPvuuxk9ejQ7duzgxhtv5PHHH6ewsJDo6NJ7EkZFReFyuQAOe7ygoACAmJiY4LGScwsLC8v9bHR0dPDaFbV06VLmzp1bqm3SpElMnjy5UtepqoSE8N+78VikcQ8NjXtoaNxDQ+MeGpUdd4/Pz45MF/meALFx0cTWUL8qxAwQ7XJjxUVV62VdPos3Nnp5dYOXQt+B9r7NHFx1aiQn1Tv6rw8+j4/4+GiiokM6ckcUtoF6xYoVfPTRR3z44YcAtG3blkmTJvHAAw9w+umn4/GUnkzv8XiIjS0e7Ojo6EMeLwnSbrc7eL7b7QYgLi6OmJiY4J9LHHxuRY0ZM4ZBgwaVanM4YsjOLjzEJ6qX3W6QkBBNXp6bQMA88gekWmjcQ0PjHhoa99DQuIdGZcfdFzCDW+BFOIoDZVFNd/IIIgr3EPD4wFY9vzdFAYsPtwd4bXOAPO+B9m4pBpe1t9M60QD8FBb6j+r6dsOG3Qb5+W7ctbeGkqSkyof3sA3UqampwR09SjgcDpxOJ+3atePXX38tdWzz5s2ceuqpQHH43rRpEwMHDgSKFxpu376ddu3a0bJlS5xOJ5s3b+a0004DYMuWLcFpIZmZmWzfvh2/34/D4Qheu23btpXqf0pKSpnpHRkZ+fj9tfs/foGAWev3FI17qGjcQ0PjHhoa99A40rgHTIu0fA/7C7w47TbsNlt4fPGxLOyFGZiGHayqFUvxmRb/22WybFOArIO+JZxa38Zl7ex0SC6enmGaVS/KYrcXj3l1fQmoKWE7IaVPnz5kZGTw1FNPEQgE2LVrF/Pnz2fkyJGMGjWKtWvX8v777+P3+3n//fdZu3Yt559/PgAXX3wxL730Ehs2bKCoqIhHH32UBg0a0L17d6Kjozn33HOZNWsWWVlZZGVlMWvWLEaMGEFUVBQ9e/YkKSmJRx99lKKiIjZs2MCLL77I6NGjQzwiIiIiEq4syyItz8NvafnkuHxEOIwamad8tJx/FHKpioBpsXJXgJs+8bHglwNhul2ijXt7OrivlzMYpo83Nsuq4teUGvTll18yZ84ctm7dSnx8PKNGjWLSpElERESwevVqZs2axc6dO2natCm33XYb/fv3B4p/qZ977jmWLFlCVlYWnTp14t5776Vly5YAFBQU8PDDD7Ny5Up8Ph+DBw/m7rvvDk4H2bFjB/fddx/r1q0jJiaGK664gvHjx1f5eTIyanZV7cEcDoOkpFiyswv1BqMWadxDQ+MeGhr30NC4h8bhxn1/gZd9+R5Man/XjoqKzf4NG0cX+UzL4stUk6UbA+w5aOZqywQbl7az0y3FViNfHgzDRoTdT/JJp2N31N6agYYN4yv9mbAO1McaBepjn8Y9NDTuoaFxDw2Ne2iUN+65Li978zz4TQtHGO+6Yvjyic3dVOm9py3L4pt0i5d/D7Aj/0BcbBoLl7Z30KuxrUYL0dSlQB22c6hFREREwlFBkZ89uW6KfBZOhw2HPTzfSpeIcqVWKkxblsVPmRb/+T3AppwDQbpRNPylnZ1+TQ3sYTSdJRwoUIuIiIhUgMfrZ3N6Abnu4jnSTkf4h0qbvwi7r6DCgXp9lsl/fg/wa9aBIJ0cBZe0sTO4mRG2U1pCTYFaRERE5DAsy2JXtgtvbhFe0yIizIuMHCzKtQfLiDjieVtyTV7+PcD3GQeCdEIEXNzGztDmBhFh/hY+1BSoRURERA7B5fWzPcuFzTBIqhcR8r2kK8UK4PDmYtkPHah35pu8sjHA12kHgnSsA85vbee8FgbRdeAtfDhQoBYRERH5k+Jt8IpILywiwm4Ey2DXJRGuVCyj/CqFqYUWSzcGWL3XDO79EWWHES0Nzm9lJ9ZZ9543lBSoRURERA5S5AuwLcuF37SICOPdOw7LsojwZIJROupluC1e3RRg5W6TkrorEQYMO8ngwtZ26kUqSB8NBWoRERGRP6Tne0jL8+J02OrkW+kSTk8mNqzg2+dsj8XrWwJ8tNOkZLdFhw2GNDcY3cZOclTdfdZwoEAtIiIixz1/wGRrpguPP4CzDi06PJQIzz4sw0m+1+LNrQHe325SFCg+ZgADTjT4S1s7KTEK0tVBgVpERESOa1mFXnblunEaNpx1dYrHQQxfPp6iIt7e4eCdbQFc/gPHejcx+Gs7O03jFKSrkwK1iIiIHJcCpsWOLBcF3kDdnSv9J0V+k09/2sGbm20U+ALB9jMaFZcJb5FwbDxnuFGgFhERkeNOrsfHrmw3Nhs4j4E9ln0Bk1WbMnnnl1RyPQeC9GkNbFzW3k7bRAXpmqRALSIiIscN07LYle0m549qh3VdwLT4fGsWb/6cSmahL9jeIcnG5e3tdKxf95+xLlCgFhERkeNCQZGfHVkugDofpk3T4usd2bzxUxr78g+Um2mdAJe2d9C1oQ2bre6/ea8rFKhFRETkmGZZFnty3WQV+nHW8cp/lmXx3a5cXluXyp5cT7C9ab0oxnSIoHdyATajbn9ZqIsUqEVEROSY5fYF2P5HkZa6HKYty+Ln1HyW/biX7VnuYHuj+Egu7NyYXs0TScj5pUwhF6kdGnURERE5JqXlediXX0SEw8BRh4u0bNhXwLIf97IxozDYlhzj5MLOTejdKhmHYcPpzsCGiUX5pcalZilQi4iIyDHF6w+wPdNFUcCs03Olt+wv5LV1qfySmh9sqxflYOSpjRnYtn6pPbMjPOlYhjMU3awRlmXhD0BKfAROu4EZ6g4dgQK1iIiIHDMyCryk5rpx2G046uje0juz3by2LpUfducG22Ij7Izo2Igh7RsS+acvCXZvHkagCMseWdtdrXaWZeEzLeIj7TSpF01yrEG2zaZALSIiIlLT/KbF9sxC3F6zzpYOT8318PpPqazZkRNsi3IanHtyCkM7pBATUf50jkh36jERpv0Bi2inwYn1IolwGNjr0OJKBWoRERGp03JcXnbleLAb4KiDCw8zCop48+c0Pt+ahWUVt0XYbZzdoSHDT2lEfOSh45rN78HhLcB0RNVSb6ufL2AS5TBokhhFlLNuzgFXoBYREZE6KWBa7Mx2kefx18m50tkuH2//ksYnmzMJmMVJ2mHYGNS2ASNObURi9JHnREe59mLW0bfTvj/muJ+YGE1MHQ3SJRSoRUREpM7J8/jZme3CZqt7RVryPD7e+zWdjzdm4AsUB2nDBn1b1+f8To1pEBtRsQuZfhzenDo33cMfMHHaDU5IiCLuMG/f65Jj4ylERETkuGBZFrtz3GS56l7p8EKvnw9+S2f5hgw8/uJldjbgzBZJXHhaExrFVy4YR7rS6tTOHoGAiWHYSImLpF4F3r7XJQrUIiIiUie4vH62Z7kwrbr1VtrjC7D89wze/y0dlzcQbO/erB4XndaEExOjK39Ry8JZlFknCrmUTGepHxdBYpTzmCyJHv4/BRERETmuWZZFWl4R+wqKiHQY2OtIHvMGTFZu3M+7v+4jz+MPtnc+IYGLT2tCy/oxR31tp2c/Niys6uhoDTFNC8uCxBgn9WOOzSBdQoFaREREwlaRL8C2P0qH/3n/5XDlNy0+25zJW7+kke3yBds7pMRxcZcmtE+Jq/I9Ijz7wna6h2lZBEyLpOgI6sc6MY7hIF1CgVpERETCUnq+h7Q8L06HDXsdKB1umhZfbs/izZ/SSC/wBttb1Y9hdJcmdGwcXy1vae1FudgCPrBXcPFiLbEsC79pkRDloEFcJI7jIEiXUKAWERGRsOIPmGzNdOHxB+pEkRbTsvh2Zw6vrUslNa8o2N4sMYqLTzuBricmVOt0h0hPWliF6WB1wwg7KfGROOpQQZbqokAtIiIiYSOr0MuuXDdOw4YzzEuHW5bFuj15LFuXys5sd7C9SUIkF3ZuQo+TEqt9uoPN78HuKwybrfJ8AZMYp8GJ9aLr1ELR6qZALSIiIiEXMC12ZLko8AaICPMgDfBbWj7Lfkxl8/7CYFuD2Agu7NyYs1om19gUlSjXnrAI0weqG0bXWHVDI3sz/LwSo+tkqNemRu5RXRSoRUREJKRyPT52Zbux2cAZ5lt4bEov4L8/7OG3tIJgW1K0k1GdGtG/dX0cNfllwPRj9+aFdLqHP2DhdNhoWi+a2Iiaq25oz9pI7Kd3gN9NpD0Bb9/pNXav6qBALSIiIiFhWha7st3kuMO/SMv2TBdvfLKVb3dkB9viIx2M6NiIwe0a1Er/I11pIdt32h8wcRg2miRE1nh1QyNvJ3Gr78Hmd4PhwNtmeI3erzooUIuIiEitKyjysyPLBYR3kZZ8j5+Xv9/D51uzgm0xTjvnnpLCOR0aEl1D0x3KsMyQFHIJBExsttqrbmgUphH/6V0Y3jwsm4Gt/zQCTbrX+H2rSoFaREREao1lWezJdZNV6MfpCN/pHZZl8fnWLF7+fg8FRcXVDaOcBkM7pDCsQ0Nia/gt7Z85Pftr9X6hqG5oc2cR9+ldGJ5MADxnTCG6RZ8av291UKAWERGRWuH2BdiWWUjAIqzD9N5cD4vX7GJD+oF50v1a1+e6/q0xAgECAbPW+xThSa+Vt9MHVzdMjqm9oiw2bz5xq/+BvTAVANdp1+FvdQ5HUZQ9JBSoRUREpMal5XnYl19EhMMgXLO0N2Dy7i/7ePfXffj/eEPbJCGScT2acWrTeiTERJCX7z7CVaqfvSinxgu5mJaFaVrUi3ZSPzYCe20WZfG7iVv9Txy52wFwn3wpRe0upJYm01QLBWoRERGpMV5/gO2ZLooCZljPlf4tLZ/n1uxiX35xYRaHYWPUqY04r2OjkO+HHeWuuUIuweqGkQ4axIegumHAR9wX9+PI2gCAp80oPB2vqN0+VAMFahEREakRGQVeUnPdOOy2mt1OrgryPD5e/m4PX2w7sHvHKY3juKpHM5okRIWwZ8UMvxvD76qRvae9ATO01Q3NALFrHsaZ/iMARScNwt1lPNTBkuUK1CIiIlKt/KbF9sxC3F4zbEuHW5bFZ1uyeOX7PRR6ixcdxkc6uKxbU85qmVQri/AqItK1t9rDdEl1w6YJMaH7WwPLJOa7fxOx50sAvCf0wtX9ZrCF5+/LkShQi4iISLXJcXnZlePBboAjTCdL7/lj0eHvpRYdJjPm9KbE1/LuHYdl+nF4c6stUPsCJpEOg+Y1WN2wQiyL6HWLiNz+cXG/Uk6jsNc0MOrSrOnSwui3RkREROqqgGmxM9tFnscftnOlvQGTd/5YdBg4aNHh1T2b06FRXIh7V1akKxXLqPrez/6AhdNe89UNKypq/ctEbXoTAH9yOwrOujuk1R+rgwK1iIiIVEmep7hIi2GEb5GWX1LzeH7t7uCiQ6dhY1Snxgw/JSXkiw7LZZk4PZlgP/pAHaxuGB9BXFTNF2WpiMhNbxH960sABBJOoqDPfeCMCXGvqk6BWkRERI6KZVnsznGT5Qrf0uF5Hh//+W4PX/5p0eG4Hs1oHAaLDg/F6dl/1IvzSqobNoyLJLEWqhtWVMT2j4n58WkAArGNye83HSsyIcS9qh4K1CIiIlJpLq+f7VkuTCs830qblsVnmzNZ+sPeUosOL+/elDNbhM+iw0OJcFe+kEvJNJbk2AiSomunumFFOfd8Scy3cwAwo5Ip6PcAVnT9EPeq+ihQi4iISIVZlkVaXhH7CoqIdBjYwyezBe3JcfPcml1szCgMtvVvU58xXU8gLpwWHR6CvSgHm1nxQi6maWFaFkkxEbVa3bCiHPt+JPbrh7BZJqYzjvx+0zHjmoS6W9Uq/H+rREREJCwU+QJsy3Lh/2O3iHDj9Zu8/Usa7/2WHnxbe0K9KK7u2Yz2KeG36PBQKlrIJaTVDSvInrmBuC/uw2b6sexRFPS9D7Nei1B3q9opUIuIiMgR7cvzsC/fi9Nhwx6Gi/h+Sc1j8ZpdpBd4AXDabZzfqTHDT04J26Iy5Sku5FKIZT/0/O6S6obxkQ4ahqK6YQUZuduJW30PtoAHy3BQ0PseAvU7hLpbNUKBWkRERA7JHzDZmunC4w+EZZGWXHfxosOvth9YdHhqk3iu6tGMRvHVX12wphUXcjl0mPb6TeIi7TQPVXXDCjIKUon/7C4MXwGWzaCw1zT8jbqEuls1RoFaREREypVV6GVXrhunYQu7reVMy+LTPxYduv5YdJgQ5eDybk3pVQcWHZbHZvoOWcjFFzCJdhqckBwTltNtDmZzZxL32V0YnuIvOa7uN+NrelaIe1WzFKhFRESklIBpsSPLRYE3QESYBWmA3X8sOtx00KLDgW3q85euJxBbBxYdHkp5hVzCprphBdmK8oj/7C7shWkAuLrcgLfF4BD3qubV3d86ERERqXa5Hh+7st3YbMXzkMNJkd/k7Z/TeP+3fQSK1xzS9I9Fh+3q0KLDclkmDk9WsJBLuFU3rBCfi7jV92DP2wmAu+MVFLUdFeJO1Q4FahEREcG0LHZlu8lxh2eRlp/25vHC2tKLDi/o1Jhz69iiw0OJcKeDzUYgYGI3bDSOjyA+TKobVkjAS9wX9+HI3giAp+0FeE6+NMSdqgJkxiMAACAASURBVD0K1CIiIse5gqLi0uEQfkVactw+/vPtbr7ekRNs69Qknivr6KLDQ7G7MjBtdhrERYRVdcMKMf3Efv0QzoyfAChqcTbu06476kqPdZECtYiIyHHKsiz25LrJKvTjdIRX+DEti082ZfLfH/bi8hUvOqwX5eDy7ifS86TEOrnosDwB08JRlEVypEVSfGzdey7LJOab2UTs/RoAb9OzcHWbfFyFaVCgFhEROS65fQG2ZRYSsAi7ML0ru3jR4eb9BxYdDmrbgEu6NiE24tiILqZpEbAsGsZFcoLj/9l78zBJqirv/3NvRO5Z+9J72zu9szX0AAIKAvoqiKDw+uq4MoqoDC6DvoKDiCAKyuvoDx53FJdhUNmUURAYFmVV6X1f6Oql9sqq3DMi7v39kVXZXfRCdXVVZWTV/TxPP9CRkZkns29GfOPE+Z6TwtJV5Q7p6NGayCvfJ7TrSQCcSSeSXvkFkBVS8z2CjI9VaTAYDAaDYci09uVoS+YJ2hI/aem8q3hgzT7+uL69ZDqcXls0Hc5vqnDTYT9Ka1xPUx8NMLUmguVlkeksHKJVnt8Jr/sF4a0PA+DWLyR1+vUlU+VEwwhqg8FgMBgmCAXXY2dXhrynfFcrvWpPLz97cTed6aLpMGgJLl4+hbcuasaWPlL9w0RrjeNpaiI202ujpc8kE3sQFSimQ5t/R2TDrwFwa2aROvNGsCNljqp8GEFtMBgMBsMEoCNVYF9vFtsSvuqKkcg4/OJvu3nxANPh8qlVfOCUGTSPE9NhwVVUhW3mNYYJ2geUQ3gOMpcAu7I+Z3DHo0RX/QgALz6V1FlfQwcrsGRlBDGC2mAwGAyGcYyrNDu60uQKylejw5XWPLmlk//6x16yjgKKpsP3nzKdU2eOD9Nh3lHEwxaz6+OHHMoik7srrkQisPtZoi//BwAq0kDqrJvR4foyR1V+jKA2GAwGg2GcksgUaEnksCTYPiqW3tWT5acv7GJbZ7FVnwDOWdDIu08YH6bDglscE76gOUb0cJ9Hq+Joblk5n9du/Tux57+JQKGC1STPuhkVm1TusHxB5fwrGgwGg8FgGBKe0uzqydCXc31VK513Pe5f3cofN7Sj+k2HM2rDfHjlTOY1xcob3AjgupqALZjVEKXmdYayiHQrxUuJysDqXE/8rzchtIu2I6TO/Cqqema5w/INRlAbDAaDwTCO6MsVh7RI6a8hLYcyHb5r+RQuGAemQ9dT2FIwoy5MbTQ4pOfIdEfFtJezEtuJP3sDwsujZZDUG7+CV7+g3GH5CiOoDQaDwWAYB2it2Z3I0p3x1+jwnozDL1/ezYu79psOj59azQdOnU5TvLLMeK/FVRoJTKmO0BALDLnuW2S6ENoF4f/6aZncQ/zp65FOGi0s0qf9X9ymZeUOy3cYQW0wGAwGQ4WTKbjs7M6gtH+y0kppntjSyX2v7Dcd1kZs3r9iOqdUuOnQUxqtoTkepLkqdNSfRWZaQfpfTItMJ/Gnv4TMJ9AI0qd+FmfqynKH5UuMoDYYDAaDoULRWtPal6ctlSdkSyyfaNRXuzP89IUWtnftNx2eu6CRd58wlWiwMsocDoXSGsdV1EeDTK4OIYdzUVBIg5Px/SAXke+l6unrsDIdAGROugpn5pvLHJV/MYLaYDAYDIYKJO94bGlP4XqKkE+y0nnX43erWvnTxv2mw5l1ET68cgZzGyvXdKi1puAqaiI206LV6IEPNwxkqgIGuThp4k9/GSvZAkB26QcpzH17mYPyN0ZQGwwGg8FQYezrzbKpLYUUYPlkSMs/dvfy85da6Eo7AAQtyaXHT+b8hc1YFWw6zLse1eEAsxtjNDfG6elJ4w5XUHsOMtfr70EuXp74szdiJ7YCkDvuUnILLytzUP7HCGqDwWAwGCqETMFlT2eecDREwJZ4nip3SHRnCvzy5T28dKDpcFo1HzxlBo3xoXW88CPFXtIWC5riRIP2iEyXLA5y8fF3olxiz91CoHMtAPnZbyW77CNQwfXuY4UR1AaDwWAw+BzXU+xKZEnmXCIhm4AlyZY5JqU0f97cyW9W7SXXbzqsiwR4/ynTWTGjpmJNhwMt8GbVR6mJjKBx0O+DXLRH7MVvEdz3EgCF6WeSOfmTRkwPEZ/+qxoMBoPBYBgwHXak8tiW8E0Hj53dGX76fAs7uvebDt9yXBPvPn4KkQo1HXr9ZRyTq8M0xoIjfkEgUj4e5KI10b/fRbDlKQCcySeTXvl5EJX5b1kOjKA2GAwGg8GHJDIF9vTm0EDAJ0I653j8bvU+/rSxAz1OTIdKazxP0xgPDb9zx+uhNTLT7ttBLuG1dxPa/ggAbsNiUqddVxFt/fyEP36hhyGRSHDttdeycuVKTjnlFK666ira29sBWLVqFe95z3s48cQTOeecc7jvvvsGPff+++/nvPPO44QTTuCSSy7hH//4R+kxz/P4xje+wemnn86JJ57IJz7xidLrAnR1dXHVVVexYsUKVq5cyc0334zrumPzoQ2Vj5MrdwQGg6GCyRRcNrcl2dWTQ0rhG0PfP3b38sWHN/DHDUUxHbIl/+fkadz4tuMqVkznXUUsaLF4SjVTa8KjI6YBke1GaG9UXvtYCW28j8jGooZya+eQeuNXwA6XN6gK5JgE9UsvvcR//ud/kkql2Lp1K47jjFRcAHz6058mk8nw2GOP8eSTT2JZFl/+8pfp7e3lYx/7GBdffDEvvfQSN998M1//+tdZvXo1AC+88AI33XQTt956Ky+99BIXXXQRn/jEJ8hmixVnd911F3/5y1/47W9/yzPPPEM4HOb6668vve8111xDNBrlmWee4Te/+Q3PPfccd99994h+NsP4RCRehb3/gHyq3KEYDIYKw1Wand1ptnSk8YCA7Q8h3Z0u8J2ntnPH/2ynO1M8z584rZqvX7iIty6qzA4eBbdYJ72wOc6s+tiojz6X6X2+zPgGt/830TU/BcCLTyN15tfQwXiZo6pMhlXykUqluOKKK3jllVcQQnDGGWdw++23s3PnTu6++24mT558zIGtXbuWVatW8de//pV4vPiPe9NNN9HR0cGjjz5KbW0t73vf+wA47bTTuPDCC/nlL3/J8uXLue+++3j729/OySefDMCHPvQh7r33Xh555BEuvfRS7rvvPj7/+c8zZcoUAK677jre+MY30tLSglKKF198kaeffppIJMKMGTO46qqruO2227jiiiuO+XMZxi8i04HMdEBdNVb3RtzahRCIljssg8Hgc7TWtCWLw1ls6Z866aLpsIPfvLKPnNtvOowG+OcV0zm5Qk2HjqcIWpI5DTGqwmNU9VpIg5P1Xau8QMtTRP/2PQBUpInk2Tejw7VljqpyGdZq+va3vw3AY489xkUXXQTAtddey+c//3m++c1vlh4/FlavXs28efP4r//6L37961+TzWY588wz+cIXvsCWLVtYsGDBoP3nzZvHb37zGwC2bt3KpZdeetDjGzduJJlM0traOuj5jY2N1NTUsGnTJgBqa2uZNGlS6fG5c+eyd+9e+vr6qK6uHlL87e3tdHR0DNpm21Gam5uH/iUcAwN9Sf3Sn3Tc46SxUi3IYPGAKQMhQj0b8ZoWG1E9Bpj1Xh7M937s9PTXSSsNkeDQTskDGeHif0fnu9/RlebHz+1ix8CkQwEXLGzm3SdOJRLwZx3wkXCVRgKzGmLUx4bXtm64610m9iJCkWG952hh732RyAu3I9CoUA2ZN9+CrDr2ZOhIIy0B6OJ3Lvx9nBmWoH7yySf51re+xYwZM0rb5syZww033MCVV145IoH19vayadMmli5dyv33308ul+Paa6/lC1/4Ao2NjUQigxdnOBwmkyn+8NPp9GEfT6fTAESj0YMeH3jstc8d+HsmkxmyoL733nv53ve+N2jbJz/5Sa6++uohPX+kqK721494XOK5sHc91O1fG/FYCGIhyO+AuuUQMPVoY4FZ7+XBfO9HT67gsr0zTdbV1FYP76I7Fhv540qm4PLLF3bx+9V7S5MO5zbF+OSb5jF/UtWIv99oo7TGU4rJ1RGm1IZHJKt+VOvdLUBf3l/ngH2r4S9fA+1BIIZ8++3EG+eXO6rD4+Soror46zs8BMMS1N3d3TQ1NR20PR6Pl+qUj5VgsHgFed111xEKhYjH41xzzTVcdtllXHLJJeRyg41fuVyOWKxoiohEIod8vK6uriSOXxvnwPO11gc9NvD3gdcfCpdffjnnnHPOoG22HaWnJz3k1zgWLEtSXR2hry/ri8b/4xatkR1rEUqBcJGWIB4LkUrnUV7/2WjLi3hNS313u288YdZ7eTDf+9HjKc3ungw9WYegXcz0Hq2N2ZKCWCxMOp0rtXobCV7eleBnL+wq1UmHbcm7T5xamnTYlyx35+uho7XG8TT1sQAzayJYKBKJzDG95nDWu0xsR+Q0CH+Y1WX3FmJPfhHhFdBWiMxZN+IFZ0CfP+J7LdISxIPQl8ziibEzddbVHb3JdliCetmyZTzyyCN8/OMfH7T95z//OYsXLx7OSx7EvHnzUErhOA6hUFGIKFVcwIsWLeJXv/rVoP23bt3K/PnFK6z58+ezZcuWgx4/66yzqKmpYdKkSWzdurVU9tHR0UEikWDBggUopUgkEnR2dtLY2AjAtm3bmDx5MlVVQ786b25uPqi8o6MjieuO7UnH89SYv+dEQvZsg0KhvxWSZuD2q/L0AQdcC922Fq9xKVj+M6WMJ8x6Lw/me399tNa0J/O0JfNYlsAS4hguQorHGU/pEbmQ6UoX+MXLu/lbS29p28kzanj/iuk0xILQ31auUii4injIYnZjlKBtoZUe/qjwQzDk9a4VdrKr/7hf/u9PJncTfep6hJNBC4vUaV/CrV8Mvr4Y7l/rnsLFz3EOs/jqs5/9LHfeeSdXXnklruty1113cdlll/Hb3/6Wf/3Xfx2RwE4//XRmzJjBl770JdLpNN3d3dxxxx285S1v4R3veAednZ3cfffdOI7D888/z8MPP1yqm373u9/Nww8/zPPPP4/jONx99910dXVx3nnnAXDJJZdw11130dLSQiqV4pZbbuHUU09l5syZzJo1i5NPPplbbrmFVCpFS0sLd955J+9+97tH5HMZxg8i1YrIJYbUV1QgsTrWgjLtFw2GiUZvzmFjW5KOVJ6ALUetNdvR4inNHze0838f3lAS0/XRAP969mz+9ew5RTFdQTiuRgqY3xRjbmO8dAegXIjUPt/U/YpMO1VPXYfM96IRpFd+HnfKKeUOa1whtNbDumzauHEjP/nJT1i/fj1KKebPn89HPvIRjj/++BELrq2trdT6Lp/Pc84553DddddRXV3NmjVruPnmm9m8eTP19fVcddVVXHLJJaXnPvjgg9x11120tbUxb948rr/++lJsjuPwne98h4ceeoh0Os3KlSu56aabaGhoAKCzs5OvfvWrvPDCC0gpufjii/n85z+PZR3bj7OjI3lMzz8abFtSVxejpydtMkejQT6J3b0JrMEnnOItwTB9fbmDM0dao6FY/uHT5v6Vilnv5cF870cm73i09GZJ570R7dxhWZLqqkjxNvgws4vbuzLc/cIudnYXyziEgPOPa+KS46dUnOnQ9RSWFEytDlMbHb2LgKNa71pjta9C+EBQi1wPVU/+G1ZqLwDpk6+mMOetZY5qaFiWpDoCPdEFuIzdBV5T09H7BYYtqBOJBIlEglmzZgHwyCOPcNppp1FXVzecl5sQGEE9TnAL2J1rDtlT9IiCGoqiWlAs/zCiesQw6708mO/90HhKs7c3S3fGIWCJEW8vdyyCOlvw+O2qfTy2ef+kw1n1ET6yciazGiqrI5FSGqWhOR6kuSo06m38jma9i0wnVt+rZe89LQop4v/zReze7QBkln+E/HGVc8e9kgT1sC6dVq9ezQUXXMC9995b2nbbbbdx4YUXsnnz5uG8pMFQGWiF1b0BxDD7lwqB0Bqraz1oI0AMhvFGRyrP+tYkfTmXoC1906tZa83LuxJ88fcbeHRTUUyHbcn7V0zjK289rqLEtNaagquoDtssnlzFpOqR6d4xksh0a9nFNG6O+LNfKYnp7MLLKkpMVxrDEtTf/OY3Of/88/nMZz5T2vbYY49x1llnceutt45YcAaD35A92xBaFe+PDhchEcrF6txgRLXBME5I5lw2tiVp7cthWwLpo+mBnekC/++pHfzH0zvo6e/gcfKMGm69cBHnL2z2VayvR8FVhAMWSyZXMaMu6s8pjYVUcZBLOVEO8eduxu5aD0Bu7tvJLf1geWMa5wwrzbZu3Tq+/vWvl1rbAdi2zcc+9rFBdcwGw3hCJPciC0mQIzBdS1gIVcDq2ojXsOjYBLrBYCgbjqfY1ZMh1V8nbftoyI2nNI9u7OB3q/eR7y9RqI8G+MApMzhpRk2Zozs6Cq4iErSY3xQjOsQBOOVCJvcgytkmVXvEXriNQOvfACjMOJvsiZ8w55lRZlirMh6Ps2vXrkGDXQBaW1sJh/3deNtgGA4ilygaOqwRrOESFsLNI7s3o+oXmIOdwVBBKK3Z15ejM1UgYPlnXPgA2zvT/OSFFnb17DcdXrCwiUuWTyFcQaZD11PYUjCrPkpNpALajnoFZKEPrDIJaq2J/u27BHc/C0BhyimkT/2cb7qNjGeGJagvuOACvvKVr3DjjTeyfPlyhBCsWbOGr371q6XWdAbDuMHNYfVsG1kxPYC0kE4aerYURbXBYPA9nakCrckcAnwnpLMFj/tW7eXxTZ2lzsdzGqJ8aOUMZtVXTp30wMCaydVhGmNB39VIHw6Z3A2yTO0GtSay+ieEdjwKgNO4lPRpXxqZu6qG12VY3/LnPvc5Wlpa+MhHPjJokZ933nlce+21IxacwVB2tMLq2jS6A1mkjSykoHsrqn7e6L2PwWA4JjIFl109WQqeIuCj0g7oNx229PKLl3bTk+2fdBiQvOeEqZw7v7Fi6qRV/xCZxniIydUh3/TsHhLKQ2Z7yjbAK7zxvwhv/i0Abt08Um/8Svky5ROQYQnqSCTC97//fXbs2MGmTZsIBALMnTu31ELPYBgvyO7NCDQwygd1aSMLvdCzHVU3Z3Tfy2AwHBWup9iVyJLs79zhNzHdmSrw85daeGVPX2nbKTNred+KadSPYl/mkSbvKmojNtNro9gVcgFwICK9D2R51kZw2x+IrP0ZAF7VDFJn3gSByrkjMR44pvsAs2fPZvbs2SMVi8HgK0RvS7EcY6xaH8kAMp+A3ldRNW8Ym/c0GAyHRWlNa1+ezlQe24d10p7S/Pf6Nn67qpVCfz/qhljRdHji9MoxHRZcRSxkMbs+XlH13YPQGpnuKMt8geCrTxL9+50AeNFmkmfdjA5Vzr//eGHIgnrRokU8++yzNDQ0sHDhwiPWM23YsGFEgjMYyoXIdCIzbaNTN30kpI3MdKKR6JoZr7+/wWAYFbrTBfb15dBAwGdCGmBTa5L/eHxzyXQoBVywsJlLjp9MqMwjt4eK4ymClmROQ4yqcGXX+YpsFwIFjO13H9j7AtGXvoVAo0J1pM66GR1tHNMYDEWGvIJvueUWqqqKk2O+/vWvj1pABkPZcTJYvTvHXkwPYAWQmXaUlOiqaeWJwWCYoGQKLrt7suRdjW37r+wglXe5f3Urf97UMch0+OGVM3hDhZgOXaWRwPSaCPWxyilJORIyvW/MB7nY7auJPXcLQitUIE7qrK+hzDmjbAxZUL/rXe8q/f/atWv54Ac/yMyZM0clKIOhbCgPq3tT+cR0P8IKIFOtKCHR8SlljcVgmAi4SrO7J0Nvf52038R0Mufyxw3tPLapg1x/T+lIv+nwnAoxHSqt8ZSmOR5i0hiMCh8z8klw8mCP3XnD6t5M/C83IpSDtkKkzrwRr9aU4JaTYd1jeeCBB/jwhz880rEYDOVFa6yujYjhDRAdcYQVQCb3FEV1bFK5wzEYxiVaa9qSedpSeWzpvzrpvpzDf69v58+bO0vDWQDOmNfIe0+cQnXI/6USWmscT1MfDTC1JuLP6YbHgEztRYyhmJZ9u4g/8+8IN4sWNqkzvlwcEGYoK8P6Jb7pTW/iF7/4BZ/61KeIx+MjHZPBUBZk706El/dVz05hBZF9u4qiOtpU7nAMhnFFb6bA7t4cCgj6rHNHb9bhkfXtPL65s2Q4BDhxWjXvOmEqJ85upC+ZxTvgMT9ScBXxkMW8xgjBCqntPirc/JgOcpHpVqqeug5Z6EMjSf/TtbiTThqT9zYcmWEph7179/KHP/yBn/3sZzQ0NBAKDV5Ijz/++IgEZzCMFSLTjsh2l61/6JEQVgir91U8hDGbGAwjQM7x2NWTJesUx4X7SUonMg5/WN/Gk1s6KXi6tP2k6TVcvGwysxqiWD4T/4fCcTWhgKiIUeHHgky2jNkgF5HtJv7UdchcFwCZFVfjTH/jmLy34fUZ1io/44wzOOOMM0Y6FoOhPORTWL27yl43fUSsIFbvTjxhoSN15Y7GYKhIPKXZncjSk3UI2dJX5R3dmQKPrGvnya2dOAcI6RUzanjnssmVYzj0FJYUzKwLU1tBPbCHhfKQucSYnDtEIUn8meux0vsAyBz/LxRmnz/q72sYOsMS1J/61KdGOg6DoTx4ji9MiEPCCmIltuHK+WB6jBoMQ0ZrTXt/nbQlBSEfCemudIE/rGvjqa1dOP3jtgXFwSzvXDaZGXWR8gY4RJTSKA3N8RDN48lweASKg1zGoIzFzRJ/5gbs3p0AZBe9l/yCdx35OYYxZ9j3YV555RXuueceNm/ejGVZLFmyhA996EPMnz9/JOMzGEYPrbG6NyJ8VDP9ulhB7O4tuPXHQaiq3NEYDL6nN+ewN5HFU9pXEw470wV+v7aNp7d14R4gpFe+oZaLlk1mem1lCGmtNa4HdVF7XBoOD8tYDXLxHOJ/uQm7eyMAuXkXkVvy/tF9T8OwGJaSeOKJJ/jUpz7F8uXLOf3001FK8corr3DJJZfw05/+lBUrVox0nAbDiCN7tiE8tyyTrY4JK4jdvQm3fiGEjCnYYDgUecejpTdLOl+sk7Ysfwi9jlSeh9e28cz2brwBIS3gtDfUceGyyUyrCZc5wqFTcBVVYZuZTRFsH12sjAUi2zn6g1yUR+yFbxBofwWA/BvOIXvCx4oLxuA7hiWo77jjDj760Y/yuc99btD2b3zjG9x2223ce++9IxKcwTBaiNQ+ZL7XlybEITEgqhsXQaAyaisNhrHAU5q9vVm6Mw5BH9VJtyeLQvrZ7V0MlEgLAafPrueiJZOYUmFCOhKwxr3h8EjIdOvoDnLRiujfvkNwz18BKEz9JzIrPgPCH+vZcDDD+iXs2rWLSy+99KDtl19+Ob/61a+OOSiDYVTJ92Il91RG3fSRsALYXRtwGxZDoDJuDxsMo0lHKk9rXx4p8I2Qbu3L8fDaNv6yo5v+hDRSwBlz6rlo6WQmVY1Nu7WRwPUUthTMaohSE67QZMRIkOsDtzB6CRmtiaz6EaGdfwbAaT6e9D99sfLupk4whiWolyxZwnPPPcesWbMGbV+7di1z584dibgMhtHBzWP3bK18MT2ADGB1rsdrWgp25ZyYDYaRJJlz2Z3I4Crtm9KDfb05Hlrbyl939qD7hbQl4I1zGrhw6SSaK0hID5SmTK4O0xSvnLhHC5ncixrFu5vhDb8mvOUBANz6BaRO//L4OWeNY4YlqC+66CJuu+02duzYwamnnopt26xZs4af/exnXH755TzwwAOlfS+++OIRC9ZgOCa0wuraNLq36cqAsAJYnevwGpeO6ehbg6HcFFyPlkSWVH+dtO2DOuk9vTkeWtPK868eIKSl4Kw59bxj6aSKEqRKazxP0xgPMbk6hDS1u+DkoNAHYnSOtaEtDxJZ9wsAvOo3kHrjV01ZX4UgtNb69XcbzMKFC4f24kKwYcOGow5qvNLRkRyz97JtSV1djJ6eNK7r70laY4Xs3ox00iBG77aZZUmqq8P09eXGdoKZ1mitipnqSq0LPwbMei8P5frelS7WSXelHQKW8EWLtt2JLA+uaeXFVxMMnFRtKThrXgPvWDKJxtjICTDLklRXRUZ1UmLeVdRGbKbXRrEnSueO18G2JXXeHvo6OktZ+5EkuPPPxF76NgBebDLJN9+GjjSM+PtUEpYlqY5AT3QBLmOXMGpqOvouWsPKUG/cuHE4TzMYyoZI7kYWkuMuO11CCAQSq2MdXvNSX41PNxhGks5UgdZkDoE/6qR39RSF9Eu7EqVtASk4e34D71g8ifoRFNJjQcFVxEIWs+vjhAOmZreEVsXsdC7R32VjZAV1YM9fib78/wBQ4XpSZ9084cV0pWHOuoZxj8h2I1P7wKqcW63DQggEFEV101JjYDGMK1J5l92JLAVP+aKf9KvdGR5Y08rfWnpL2wKW4M3zG3n74knURSvr4t3xFEFLMqchRlV4gkoDrUEVEE4WCimEl0O4eVAOQjnFHtt1NYA3om9rt71C7PlbEVqhAnGSZ30NFZ8you9hGH0m6K/GMGFwsliJ7eNfTA8gBEKrYk1101LTYslQ8bieYlciSzLnErRl2cX0jq4MD65p5e+79wvp4AFCurbChLSrNBKYXhOpuGz6sFEeuDlEoQ/hZsEtILwCQjnFTLSQxbt8A6VEQhbPIZYc8R7QVtdG4n/5KkK5aCtM6syvompmjeh7GMYGI6gN4xflYXVtnHjuaCH7RfV6vMbFRlQbKhKlNa19eTpSeQKWKHt5x/bONA+saeWVPX2lbUFLcu6CRv7X4mZqIpUlpJXWeErTHA8xaTyOCtcavDyikEY46eL/e3nwCgjlFoWxtPd7agRj7j+RvTuIP/PvCC+HljapM/4dr2FoHjWD/zCC2jBukd2bx99JYqgIWbxF2bUBr2GxmaxlqCi60wX29eXQlL9OeltnmvtXt7J6734hHbIlbzmukbctaqa6wvoxa61xPE198BrnzQAAIABJREFUNDA+RoV7TjHLXEgi3BzCKxTFs3LRWiGkNdg7I21feExkah9VT1+PdFJoIUn/0xdxJ51Q7rAMx0D5V5XBMArI3leRbtYXB86yISyEW0B2b0LVH2dEtcH3ZAouLT1ZCq7Gtsu7Xrd0pLh/dStr9+3vzhQOSM47rom3LmyuyDrjgquIhyzmNUYI2hXksdCqP9ucKmab3QLCyyNUAbQHiKJoHrgbJyRYQfx6xBPZLuJPX4fM9QCQWfEZnGmnlzkqw7FSeUcEg+F1EJkORKZzQraPOwhpIZ0s9GxB1c03otrgS1yl2d2ToS/nEbBFWcX0pvYU96/ex/rWVGlbJCA5f2EzFyxsIh6qvNOm42pCAeH/UeFeAeFk9hsCvUJ/iYZTbKohrcFJEhkAKus4L/J9VD19HVa6FYDMCVdSmHVumaMyjAQ+/mUZDMPAyWD1vjrx6qaPhLSK/bd7tqHq55U7GoOhhNaatmSe9lQeWwoCZRTSG1qTPLCmlQ1t+4V0NGBx/sImLljYRKwChbTrKSwpmFkXpjbqk2PiIENgriiY+/+gvX5DYOBgQ+B4wMkQf+bfsfp2AZBd8n7y8y8qc1CGkaLyjhAGw+FQ7sQ0IQ4FYSELfUVRXTe33NEYDCQyBfb05lBQts4dWms2tBVLOza17xfSsaDFBQubOX9hE9FgBZVG9KOURmlojodoLofhcMAQ6GSgkO7PNve3n/Ocgw2B0H9HsbKyzUeFVyD+l69i92wGIDf/YnKL3lvmoAwjiRHUhvGB1lhdGxGjOAWx4pE2Mp+AxA5U7exyR2OYoOQcj109WXKOImALyiGltdasa01y/+pWtnSkS9tjQYu3LW7mvAVNRCpQSI+54VC54GYR+b4DDIHFEo1DGgKFBZVUuz1SKJfY87cS6FgNQH7WW8gef4UpwRtnGEFtGBfIxPZi5sMMMzkyMlA0wvRaqJqZ5Y7GMIHwlGZ3IktP1iFky7KUd2itWbMvyf2r97GtM1PaXhWyedviZs5d0EikQqcDFlxFVdhmQVMEeyQz/q81BHoFhFvoNwS6HGwIFL42BI45WhF96Q6Ce58HoDDtdDIn/6tpZzoOMYLaUPGIVCsilzAmxKEibWSmHS0lump6uaMxjHO01rQn87Sl8lhSECpDGzytNav29PHAmla2d+0X0tVhm//VL6RDFZo5LbiKSNA6dsPhEQ2B+uB2c9LGSIjXQWsir3yf0K4nAXAmnUh65RdM4mecYn4Nhsomn8RK7jZ100eLFUSm2lBIdNXUckdjGKf05hz2JrJ4SpelTlprzT929/HAmn3s7M6WtteEbd6+ZBJvnt9YFoE/ErhKAZpZDVFqhtoLW3ng5hFOsiievQLCzSO0WyzfGM+GwDIQXvcLwlsfBsCtX0jq9OtN4mccYwS1oXJxC0WDhxHTw0JYAWRqH0oIdHxKucMxjCPyjserPVmyjkfQlljW2BYAKK35e0svD6xpZVfPfiFdG7F5x5JJvGleY9kHxgyXgqOIWIKptRGCVUFcVw3eQWtQBUQhfYAhsFDcNmAIFPb+LKmg/+9GDowkoc2/I7Lh1wC4NbNInXkj2JEyR2UYTcwvyFCZaIXVvbF4IjAMG2EFkMk9KCHRsUnlDsdQ4XhKs7c3S3fGIWjLMRetSmte3pXgwTWttCRype110QDvWDKJs+c1ECxTR5FjQSmNqzRVIYsZtTFqY0HqYjY9Hb2IbALh5ouZZy9fNASiEcj+ThoD2eYJaggsA8EdjxJd9SMAvNgUUmd9DR2sKnNUhtHGqBFDRSJ7tiG0N7jtkmFYCCuITLaghIWONpY7HEMForWmI5WntS+PlGM/LlwpzUstRSG9+wAhXR8NcOHSSZw1t6FsrfmGjda4hQJBnaMxWKAhAjYOoreA1etCXwArmQNsYwj0EYHdzxJ9+T8AUJEGUmffgg7Xlzkqw1hgBLWh4hDJvchC0tyiHEGEDGL17sQTEh0xB3/D0OnLOmxoS5IveCPbXWIIKKV54dUeHlzbxt7e/UK6MRbkwqWTeOOcen8Lae0hvQKWm0a6OaTKoz0X5eSJ2Yq6iEUsFCwe69wDPocVgEC4eAb31GFf3jC22K1/I/b8NxEoVLCa5Fk3o8ydvwmDUSSGikJke7BSe03d9GhgBbES2/EQ6EhduaMx+BilNd3pAr15FzscBMSYimlPaZ7f2cNDa1vZ15cvbW+KB7lo6WTOmF035uL+kGiN0A7SzWO5KYRXQKoCUrkIXUB4LgKNkgFcLRFCUBMOUFcXxzY9iisKq3M98b9+DaFdtB0hdeZXUdWmNekxoVxAQ6ixeFHp82tHI6gNlYObw0psN2J6NLGCWIltuHI+hGrKHY3BZ2QLLm3JPH15FyEEoYBFzLbIv/5TRwRPaf66o5uH1rbRltz/rs3xIO9cNpnTZtdjj/Ywk9eiVVEkO2mkl0V6BaRykKqA0B5CeWgh0Af2agYQNp5l4SpN1JI0RYPEK3C8uQGsxHbiz96A8PJoGSB1xg149QvKHVZlolzQChWIFX09Vc3QUA09aVD+VtTm12uoDLTC6txoWg6NBVYQu3sLbv1xEDJGmomO0prOVIHujEPO8QjaYszLKFyl+cv2bh5e20p7qlDaPqkqxDuXTeK0WfWjOhVQKAfh5bGcNFLlS6JZ6AJCef19mq2iaC49SaKFHLxt4PN4CiEE1WGb+mgAW/ogm24YFjK5h/jT1yOdNFpYpE/7Em7z8nKHVVmURHQcHZuEjjTu70JTQb8NI6gNFYHs3mymtI4lVhC7ezNu4yIIRMsdjaEMZA7IRkshsKUgFBhjIe0pnt3ezcPr2ug4QEhPqQ7xzmWT+ac31CFHQkhrhVAO0s1guZlixtlzitu0c0CW2R5shBY22hraaXRgLHgkIGmsChEP2QhzUKtoRKaT+NNfQuYTaATpUz+LM3VlucOqDF6TiR4koisUI6gNvkf0tiCddHHggGHssALYXRtwG4yonih4StOZytOdcch7ipAty9JmzvEUz2zr5vfr2uhM7xfS02rCvHPZZE6dWXv0Qlq5SC9fFMxerliS4TlIXcw2a0R/VvnAVnOgReCQWeah4nkKhCAesmiMBU02epwg8r1UPX0dVqYDgMxJV+HMfHOZo/I541BEH4gR1AZfIzKdyEybqZsuFzKA1bkBr2kJ2OFyR2MYJdIFl/a+PMm8i5SibCPCC57i6a1d/H5dG90Zp7R9em2Yi5dNZsXMWuThsrpaH5RlFsoplmdoB3Sx/vLgLLOFskb2pK61xlGKsG1RHw9RHTbZ6HFFIU386S9jJVsAyC79IIW5by9zUD5lnIvoAzGC2uBfnAxW704jpsuMsAJYnevwGpeCbcYQjxc8Vewd3Z1xcDxF0JYEyjQ9sOAp/mdLF39Y30bPAUJ6Zl2Edy6bzMkzaopCWrlIt4DlZrC8LChnvwFQOYAGYR0yyzwWeJ4Citno+mikYqcxGo6Amyf6zFewE1sByC24lNzCy8oclM84Uk30OMYIaoM/UR5W9yYjpn2CkAGsrvVFUW2MoRVNMufSkcqRzHvYUiClKJvwK7iKJ7d28od1bSSybmn7rNoglx4X4ZRJAkt3IBN7EQNdMwAlAoNP0EKirfJc7A3URodsSWM8RI3JRo9flAt//hp2xxoA8rMvILv8IxiDDxMqE304jKA2+A+tsbo2FkfnGnyDQGJ1rMVrXmaG6lQYrtJ0JPP0ZBwcpcoyFryE9ijkc/zP5nYe3tRLb16XHppXDZfNU6xoKoClwDsgRhlAE0Af4iXLgac0WmviIZtpNcGylMgYxhDtEXnhW7DreQAK088kc/KnJraYNiJ6EOasaPAdsncnwssb0eY3hOgX1evwmpZO6ANnpdCXdehI50kdmI0eA1OcUIVDDDNxyDkF/rTT48Gdgt7CfiEyv1Zw2XyLk5qE77O7Bbdo1myIBagJBw5f022obJSD1bMNu3Mddud67K71yHwvAO6UFaRXfn5wLf5EwYjow2IUi8FXiEw7Itttygr8ihAIrbE61xbLP8yB1He4nqItlSeRcfAUBOzRK+kQbo5AspNwXx/aKfQPM3EPGmaSdTX/vVPx0A5NX2F/LMfVCi5bYHFCo7+FtKc0SmviQYspVRHCAbPuxxuikMTq2rhfQHdvRqjCwTtOXkbmjOthjOryfcEErYk+WoygNviHfAqrd5epm/Y7QiC06q+pXjJ4+puhLGit6c25dKbypAsetlXMRo9KMlprArkugvkObJXDqqrCcgsorUGIQW3mMo7mkZ0eD+3wSO33GrKoriiklzf4W0gXPEVQSuoiAeqiJhs9btAamWnfL5471yH7diEOUVCkEXi1s3EbFqMmLSO66BxIe+D5e2rfMWMy0UeNEdQGf+A5xoRYSQiJUG6xpV7jIiOqy4TjKVr7cvTmXJTSBEaxNlq4eULZfdj5BEKAloGiEfAQIjPtaP6wU/Hwdo/0fq8hS+qLpR1LfSykB2qjowGTjR43KA+rd0dJPNud65G5rkPuqq0QbsNC3IbFuI1LcBsWlvrwW5bsv3vqjWHwY8iBIjo+GR1uMCL6KDCC2lB+tMbq3ogwNdOVhbAQqoDVtRGvYdHENueMIVprEhmHzkyBdMEjYBX7Ro/K6G2tCeS7COY6sZw0ygqBdXhjYMrR/H6Hx+93KDIHCOllDUUhvaTBvxdejqewpaS2PxttmfVcubhZ7K6N+wV09yaEmz3kripct188Ny7Gq50zsfw7RkSPGBNo1Rj8iuzZhvBc8yOuRISFcPPI7s2o+gVGVI8iBVfRluzPRmtNwJKj1llCuHlCudZiNhqNlgHUEQb79BU0D21zeWTnYCG9vFFw+XyLRfX+FNJKaVytiQUkzfEIsaA5BlUiIts1KPts9W5H6EOXZHhVM/rFc1FAq9jkiXfcGhDRwbgR0SOIEdSGsiJS+4rOaWNCrFykVRwN37OlKKoNI4bWmu6MQ1e6QNY5IBvN6GSj7Xw3oVwH0s2gZRCkfcQ2dX15zX9uzfHA5gK5A+6Cn9AkuGyexUKfCmnX01hCUBMJUBsNYE80QVXJaIXs27VfQHdtwEq3HnpXaePVLSiJZ7dhETpUPcYB+wQjokcdI6gN5SPfi5XcY+qmxwPSRhZS0L0VVT+v3NFUPDnHoz2Zpzfnoilmo0etNloVCGX2Yed7Eaj9tdGHQWvN5oTm8RbFs3vVICF9UlOxtGNBnf+EtNIa19PEgpKmeIh40Jz+KgKvgN29GbtzHVbXeuzODUgndchdVbCqv3yj+Mermz+xzy+DRPQUdLjeiOhRxBxRDOXBzWP3bJvYB7vxhrSRhV7o2Y6qm1PuaCoOpTXd6QJdaYes6xK0JLYlYMyy0Raaw59sE3nNU3sUj7d47H6NnjllkuQ98yTzav0npF1PIYWgKmxTHw1gj0EfbsPwEfneUt9nu3M9VvcWhHYPua8Xm9IvnvvLN6qmG4O0EdFlwwhqw9ijFVbXpoll/JgoyAAyn4DeV1E1byh3NBVBtuDSlsqTzHmAxrYkIXt0ToDFbHR/bbT20FbwiNloT2n+0aF5vMXj5XaNd0D9R9iCM6ZKLl0UYWqo2GXELyitcZUmakuaqsPEQ+ZY40u0Rqb29pdu9Avo5O5D7yokXu28UvbZbVxcFIsGI6J9gjnKGMYc2bMVgQdHyIYZKhhpIzOdaCS6Zka5o/ElSmu6+rPROccjaItRzUZbhQShXDuWky72iH6dbPTelOaJ3R5P7lb05Ac/dlyd4C0zJKdPkcSCkljMIp0+dAZxrHE9hRCCqpBNQ8xko33HwPTBfvFsd64vXoAfAm1HcBsW7RfQ9QvhCMbYCUdJRFcVRXSkwWTny4wR1IYxRSR3IwtJkMaEOK6xAshMO0oKdNX0ckfjGzIFt1gbnXeRQmBLQSgwWrXRDsFMG4F895Cy0TlX81yr4vEWxfruwdnm2hC8aZrknBkW0+P+MvBprXE8TSQgaawKEQ/Zvu1xPdEQhRRW14b9Arp7M8LLH3JfFWncbx5sXIxXM2tijvY+Eq/NRBsR7SuMoDaMGSLbjUztgyOc1A3jB2EFkKk2lLDQ8SnlDqdseErTmcrTnXHIe4qQLQlao3cStPID2ejk69ZGDxgMn2hRPLtPkT0g0SwFnNwsOHe6xUnNRfHvJ1xPIRDEwxaNsaDJRpeb/umD1gHZZ6t35+GnD9bMOqB8Ywk62lyGoCsA5YDWRkRXAEZQG8YGJ4uV2G7E9ARDWAFkcg9KSHRsUrnDGVPS/dnoZM5F9g9eGbW+0QPZ6EIPQjloK4S2Dn97fMBg+ESLoiU1WPBMjcG5MyzOniapD/tLRGutcZQibFs0x0NUh002umxoD6t35+Dpg9nOQ+9qhXDrj8NtXITbuASvfiE6GB/jgCsII6IrEiOoDaOP8ibGWHE3R2Dn0zBlHkRN67gBhBVE9u0qiupoU7nDGVU8pelI5enJOBQ8RdCWBEZJRMOB2ehUsTZayMOWdbyewfD0KZJzZ0gW1vlvLLjnKUAQD1nURyOj1kLQcATcHHb3xlL22e7acPjpg6HaQdnn4vRBU+Z3RIyIrniMoDaMOrJ782hYrXyF3bGG6MvfwUrtBSAy7TQyyz5cbONkQFghrN5X8RDoaGO5wxlxkjmXjlSOZN7DlgIpxeiJPuUSzLYSzPcUaypfpzZ6b1rzRMvhDYbnTpecMVUSsf31Kx2ojQ7Zksb+bLT0mdAfz4hs9wHmwXVYiW2vM32wmH12Gxaj4lMn3vTB4WBE9LjCCGrDqCJ7X0W62fHbIs/JEFlzN+Ftvx+0ObDnOar3vkh+7tvJLf4/E3c614FYQazenXhCoiOV3+7KPSAb7fRno0czc2oV+ghl2/pro4vZ6MPd9TmSwbAmCG+eLjlnusX0Kv+JHk9ptNbEQhbTakKjViZjOACtkMndpdINu3Pd4acPChuvfn7/5MH+9nWhmjEOuIIxInrcMk5VjsEPiEwHItM5bseK221/J/ryf2Bl2oHilK78CVcQye1Fr/0dQjmEtz5E8NUnyC363+TnXThuv4shYwWxEttxpQUVehLuyzl0pPKkxiwb3UYgX6yNPlI2+vUMhic1Cd4yw58GQ4CCWzRsNsQC1IQDJhs9mngFrJ4tg+ufDzd9MBDfX/vcsBi3fr7xwhwtRkRPCIygNowOTgar99VxWTctCikiq39EaMejpW2F6W8kc+InkLEGItVhUjPfSuiVHxPc/SzSSRFd/SNC235PdvlHcKadMbFvh1pB7O4tuPXHQaiq3NEMCddTtKcKJDIOrtIE7FEU0YB0koSzbViFPrS0i+3DDvNbej2D4TkzLN7kQ4MhFLPRSmtiQYspVRHCAdMmbTQQ+b7B5Rs9WxDqcNMHJx+QfV6Cqp5hxN9wMCJ6wmEEtWHkUS5W14ZxKaYDe18g+rfvIXNdQNF8kznpKpzpbxy0n45PIX3al8h1rie66kfY3Rux0q3En7sFt2ExmeOvwGtYWI6P4A+sIHb3puKwhpA/3f5aa/pybikbHbCL2ejAaGV3tUcw00og34NUhf5OHUdvMAxZcIaPDYYAjqcISEldJEBtNIDlwxgrFq2R6X2Dss9WsuXQuyLx6uaUxLPbuLgo/AzDw4joCY0R1IaRRWusro0IMb6Wlsj3EXnl+4R2PVnalp/5ZrInfPyI9dFe42KS53yLwO6niaz+KVamHbtrPdVPfJbCjLPJLvsQaoK1kysxIKobF0EgWu5oSrieoq2/NlopTcCWozZ8BfZno4sDjywQ1mGF9IDB8H92K7pfazCsFZw7w58GQwClNJ7WxAIWk6siREw2emRQLlZi+wH1z+uR+Z5D7qrtSH/7uiX9BsLjwI6MccDjDCOiDf2ML9VjKDsysR3hOUVhME4I7H6W6N/vLI3IVeEGMid/CmfqyqG9gBA4M87GmXoaoS0PEtlwL8LNEGx5isCev5KffzHZRZdBIDaKn8KnWAHsrg24DYshUL4Tu9aa3qxDR7pAuuARsIp9o61RzUYXpxhKL4+2w8M2GL6p32A4w4cGQyhmo20pqYkEqDPZ6GNG5HuxerfBpk1E96wuJjAON30w3FBqXVecPjh7XB2by4bngOcZEW0YREUIas/z+NCHPsS0adO49dZbAXjqqae4/fbbaWlpYcqUKVx77bW8+c1vLj3nhz/8Iffccw99fX0sW7aMG2+8kTlz5gCQyWS46aabeOKJJ3Bdl3PPPZcbbriBWKwoaHbs2MFXvvIVVq9eTSwW4/3vfz9XXnnl2H/wCkOkWhG5xLgx3olcD9G/30lwz19K2/KzLyC7/KPDG0pgBckvfA+F2ecTXvdLQtsfKRoXN91HcOejZJe8n8Lst068E54MYHWux2taAvbhh5GMBo6naO3L0ZtzUVoTsOSodpWQTopQtg270IceyEYf4jNrrdmS0Dx+BIPhuTMsTvapwXAgGx0NSJrjEWLBCbamRwKtkOk2rMS2/j/bsRPbkdmu0i4HnsA1AlU984Dx3UtQ0eaJ7dcYSZQLaLBqUDV1uME6I6INg6gIQf29732Pl19+mWnTpgGwc+dOPv3pT/Ptb3+bN73pTTz66KNcc801PProo0yaNIn777+fe+65hx//+MfMnDmTO+64g6uvvpqHH34YIQQ33XQT+/bt409/+hOe53HNNddw++23c8MNN+A4DldeeSXnnXceP/zhD9m6dSsf//jHecMb3sDb3va2Mn8TPiafxEruHh9101oT3PUkkVe+X7wND3jRZjIrrsaddNKxv3yohuxJV5Gf9w4iq39CcN+LyHwvsb//f4S3PETm+I/iTj5lQp0IhdUvqhuXgD26HQS01vRkHLr6s9FBuz8bPVrd0rVHMNtBIN+J9AZqow9vMHx6TzEb/VqD4ZT+CYZ+NRgCuJ7GEoLqcIC6WAB7Aq3hY8JzsPp2lYSzldiGndh+2MEpAFhB3PrjcPpb13kNC9HByjD5VgzKA+2hAjF0fApUNUF9FbonDe6he3IbJi5Ca61ff7fy8dxzz/G1r32NefPmEYlEuPXWW7njjjtYs2YNP/nJT0r7XXHFFSxfvpyrr76a9773vZx99tmlrLLjOKxcuZI777yT448/nlNOOYWf//znnHRSURytWrWKD3zgAzz//PP84x//4JOf/CQvvPACwWDxpPeDH/yAp59+ml/84hfH9Fk6OpLH9PyjwbYldXUxenrSuKP9w3cL2J1rxsUkLJHpJPr37xLc91JpW27ehWSXfWhItYaWJamuDtPXl+uf7vb62O2vEFn1I+zE9tI2p/kEssdfUZwwNlHQGq0VXtPSo77LMZT1nnc82pJ5enPFTJNtjW52STppQtnWYjZaWIe98zBgMHxit8dLbQcbDAcmGC7yocFQSkE0GqI3mSMkoS4WJB6siDxN2RCFFFbvDqye/eLZ6tuF0N5hn6OtEF7tHNzaOXi1c9H1c4nPXExf2hvyccYwRLQHnoMOxlHh+uJ01/7f7pieVw1A+b7zpqajvzj19ZGvq6uL6667jjvvvJO77767tH3r1q0sWLBg0L7z5s1j48aNpcf/5V/+pfRYIBBg1qxZbNy4kdraWhzHGfT8uXPnksvl2LlzJ1u2bGH27NklMT3w2j/4wQ+OKvb29nY6OjoGbbPtKM3NzUf1OsPF6hcL1iiLBrRCdm1G2MHKzqhqTWD7Hwm/8kOEkwHAi08ld+pn8JqXMdQb1tISB/x3aN+9nnISmUnfJbDzcUKr70bmugm0v4L92KdxZp9HfvkHJ47zXkvsng14zUuPahjQ4da70pqeTIHOVIFMwSNoS0KjWX6gFYH+bLTl5lFWEAKhQ+a+96U1f97l8eRuj+7c4MeOqyv2jD5jqiQa8N/vSmuNq4rZ6KqITXMkPsTVPoHQGpHpxEpsRfb0C+eebch02xGfpsJ1qLq5eLVz8OrmomrnouJTBl2QSUuAFUBaiqEeZwxHQHmgHHQwio40o6PNCGkfdNwfs/OqoUQlfee+FdRKKf7t3/6ND3/4wyxcOLi9WDqdJhIZnC0Mh8NkMpnXfTyVKjavj0b3dxUY2DedTh/yuZFIpPTaQ+Xee+/le9/73qBtn/zkJ7n66quP6nWOlerqUTZ6tW+CeKCy63779sGzt8Gevxf/LiQsew/Wig8TG2ZNbzw2jLKFEy6CJefB6nth1X8i3BzBHY8SbHkajv/fsPzyshr3xgytIbcNphx/1OtqYL3nCi57EzkSWQcQxOIRRtPyKZwMgdQ+rEICLSREg8DBZR1ZV/Nsi8N/b3dY0zE4I1kbErxlVoC3zgnwhhp//p4ct2gwjIYtGqJBIqY2uohyIbELurYW/3T2/zffd4QnCaiZBg3zoWEeNM6DhnnIaAOSoZ2ch3WcMRTRqmgutCMQrYOqKUO+Mzbq51XDQVTCd+5bQf3973+fYDDIP//zPx/0WCQSIZcbnNLJ5XIlU+GRHh8Q0tlstrR/NlusU4vH40Sj0dLfBzhw36Fy+eWXc8455wzaZttRenrSR/U6w6VYehChry87arcERXIPMtXWX+rhjMp7jCpaEdjye8Krf4Jwi+vFq55JbuVniz2iMwC5I77Ea5GWIB4LkUrnUd5wqqkEzP/fiOnnEVr9MwI7HivG9re7UesfJr/sgzizzq3sC5ihoBU6+SKqeemQjD+WJYnHw+zY10tHMkfG8QhaslQicYRK1GOKMZDrJJDrRLo53FJdtAL2uwgHDIZ/3uXxzN7XGAyBkyZJ3jJDsmKS7DcYuqTThx66UQ5cpRECogGLukiAWH9Jh5Nz8Bz3GNd7BeJksXp3IHu2YfVsL2agEzuLkywPg5YBVO0svNq5eHVzUHXz8GpmHdwu0gX6Xv+Yc+zHmQmK1uDl0XYIHa5DxycXfT8a6CsAhSM+fSzOq4bBlOs7r6s7+hSMbwX1gw8+SHt7OytWrAAoCeQ///nPvO9972PdunVYqx3VAAAgAElEQVSD9t+6dStLly4FYP78+WzZsqXU9cNxHHbu3MmCBQuYPXs2gUCArVu3cvzxxwOwbdu2UllIV1cXO3fuxHVdbNsuvfb8+fOPKv7m5uaDyjs6OpJjXnfleWpU3lNke7ASe/CsIFTggUUmdxN9+TsEOovrSAtJbuFl5Ba9t5ilGPZnKoo/5elj+/EH63BXXIM170Iiq35MoP0VZLaLyIvfJrD5AbLHX4HbfMLwX78S0C66dS1e4+JDimpPadJ5l96cg6vBDmdJpvIIrbGFQClN8Uw5skg3SyizD9vpQyPQ0sYTAVCD36u3f4LhYQ2G0y3eNH2wwVApf4gjz1MoIBqQNMSCxIJW6eJk8LoeofXuU0Suu7/OeTt2f82zTO1FHGFdqUAcb6Bko3Yubu0cVNX0Q5cwlfs4MxHQGu3lwQqhw7Womub9d/o0wzIXjtZ51XB4KuE7962g/uMf/zjo71/84hcBuPXWW9m2bRs//elPeeSRRzj//PN59NFHefHFF7nuuusAuPTSS/nud7/LWWedxezZs7njjjtobGxkxYoVBAIB3va2t3H77bfzne98B4Dbb7+dd7zjHYTDYVauXEldXR3f+ta3uOaaa9ixYwf33HMPn/nMZ8b2C/Azbg4rsb0yO3poj9DmB4isvQehitkIt2YOmVM+g1c3t8zBHYxXO5fUWTdjt75EdNWPsZIt2IntVD31JQpTTiW7/KPF0cDjESERysH6/9m79zDLqvLe998x5pzrVvdbX2guNt00NwFboBUxGlGT41aiooQYYoxRjEBizHPc0UQ5Mbo1m0fzqI8Kx8hRQyBuDmYbY+JRE3VvjUYBRSBIAw0CDX2r+2Vd5ppzjHH+mHNd6tJNdddlrap6Pzz1VNWsVavmmlRX/epd73jH6EPE/WdTiS2TlZhS1VCJLdXYojRkPI3nafKeh68VZiUqds4SVEbJVIbRppJM6lhgEa6xjp+PpDsYHnbEa2iBYW0b8Lyv6evM0p3z0W12jivGWfTMgVkTNryJx9GVhTdIqTGFzfVe59qiQZcfWtvrSdYJF1fB83HZnmTzrDbaPEqsT20bqI9lx44dfPazn+XjH/8473//+9m2bRuf/vSn2b59OwBvfOMbmZ6e5vrrr2dsbIzzzjuPz33ucwRB8gvwL/7iL7jxxhu5/PLLiaKIl7/85dxwww0A+L7PF77wBT70oQ9x6aWXUigUePOb38wVV1zRssfbVpzFG9m7JmdN68kn6bjnE/hjjwDglE/lnDdROevK41oAt+qUIt66h6nNzyf7+DfJPXgbujpF5uBdBIfuITz9v1A592pctqfVZ7psImMpVmNKVUs1KlEZ/inFzjPwA41WCqVY0d0La1RcIVc6UK9Go/0FdzE8mO5g+L0FdjDcVdvBcGv7LTC01hE7R87X9BQCevIbYOMVU8WbfGJOeP4lyhy91cIpD9N9ar3qnLzeLmPq2o2p4rSPy3Rhe3dAZgNuliVapu3H5q0n62Fsnh7di44ra2ugvY3J7b2T3C++jHJJb2rct4vixX+C7TltWb/UiYzNO25RkfxD/y/ZR/+x3rfp/ALls68iPOO1a+6Zg9g5KlXDTDUmii1hnGwKMmunQmswfp5y984Fq3+ep+nuyjM1vQx9ds4l1ehwGB2XcXrhCTahcfzooOW7+y0PztnBsDsDv7pNc9kpmlO72uvfinWO2Fqynkdn1qc37+PrEzvHVfl+XwIVTuFNPp72OifhWU/vR7mjn6vz8/XxdElwPh3TfVpbFRHa/bqvKlPFKY3LdmE7tsAK/pEjY/NWn4zNE+uSmtyPjoprat60N/4YhXs+UZ/x7HSG8nPfTHjG69buwr6gg/L5byXc8V/IP/AlMvv/NyouUXjgi2Qf+wbl83+P6OSXtOXTzs45wtgyExoqsSE0Nln0BgT18UgLbLKiPby4RH76l5S7V2Y2t4or6dzoCRTJQrK51WjnHPsmHf+23/LDA5bSnAWGuzc1djAM2mgHQ+cckUl2guzK+vTlg/r1XhecQ5eONG2MkvQ86/LwMT/N5gaI+05vqjzvSNoD1lLBYCNKCwk2043rPg2X7W7Ln3diY5FALRZFlUbQpcNrp/ppInIP/T25vXfWq1HR4LmULvrjZIHQOmA7NlN84XupnPFaCvd9Hn/0IbzSYTp/fCNx/9coPe8azMDZLT3HqrGUaq0bJnlxOAKdTODQSpHxFvmLUPv40RS5qV9S6d6+PCfoHEE4SqYygo5LSTVaB/OWnE2mOxj+20ILDAtw2SkeLzu5/XYwjGKLpxUdWY/eXEAuWKN/RDazcbqr4OONjVEmHk/+2D8Kh8J2nTxrcxTTezou17uKJy6WxKQhOtuFy5+My/VJiBZtRQK1eHZRCW/yiTUTpr3RvXTc80m8qacAcF4urei+el1WnszAWUy/7OMEz/yQ/P1fwCsewh/bS/d3/0+qJ/8K5fPfmjwVusJi5yhXDcVqTDW2VBdo3VhqVdTpgCCahOknqXSdeLuOikOy5YP41UkUbsFqtHGOnw8fe4HhZSdrzulvrwWGsbEopSgEHlu6suTXcoiOSvUFgo1dBZ9E2aOPFXQ6g0lH1NXDc89z4ARnyosWsjE4i8104Tq34fJ96/JnuFgfJFCLY7MGb+zhtRGm4wr5B28j+8g/okir0pueR+mid61KoGwppYhOfjHR1heQ3fd1cg99GR0VyTz9A4ID/0G487VUzr4Kl+lcli9nnaMSW0pzWjc01Lf0XrB1Yxk4HeCH42SVR9h5HM82OIcfjpKdVY3251WjDxWTEP29Z+y8HQzP6FW8og0XGMZpH20h8BjqyM0ac7cmOIeqjCatGhOPN7blLh485qfZTPesCRumdwe2c9vabecSya6FzmCDDlznFlx+UEK0WBMkUIujcw49uhe1Bra29YcfoHDPp/BmDgDJIr3SBW+nuv3XN9bTgl5AeOYVVJ/zCnK/+Huyj/0LysbkHvkHMk/8K5VzryY8/VXHPdWkaiwzYUw5skRp6waAr9Xxt24sBy8gqAzjlKLase2YN1W2msyNDieOWo0OjeM/DiYzoxdaYPjSbcm4u3ZaYGiswzlHPtAM5LN05fy1EaKdQU8/k4bnRs+zDieP+WmmY2t9kWDcV2vZGNhY/77XK2fARLhMJ7awCVcYkj+KxJojgVoclZ58Am3C9h4pF5fJ3/9Fco/9c/1QtOViihf+Ea4w2MITay2X7aa8+52EO19D/v4vkDnwY3R1isK9N5Pd93XK5/8+0dYXLBhGYptUnkuRSfqe42S0WqAVeplaN5aFlyFbOQJKY7rmhGrn8MMxspXho1ajawsMv7Pf8u8LLDB83pDiFad4XLi5fRYYWuuIbRKi+zoCunJtPuYurtRH1NXD8+QTKBMe9VOc8jE9p80aURf3bodARqCtK7UQHRSwhUFcYVN7/64R4lnId69YkCoeRpXH2mpU1Fz+4XuTqnTpCJDsUFbe/U6qp75MqlYp23UyxUv/L8Ij95O/7xb8iX1400/T+cMPEQ2dT/H8t1HsOp1iaAjjZMMUYx2eSkZzwcq1biwHpzNkS4eIPR+6noMyVXIzB9JqtF2wGl1bYPidpy1PTc+uRm9pWmA40CYLDK1zxMaR9TW9+YCeQoDfht/fKpxMepzHmzZGmX6m3n61EBt0NEbT1cbUdZ+ypiYJiePgbDLmLshj80O4wua2/h0jxPGQQC3mC2fwpva3bd+0qs6Qv/8Wsr/8dv1YdduLKD3/Olyuv4Vn1r7iTecz9fJPoJ/4Lp0P3opfGSUYvp+e77ybaPNLGN35JuLc4OzZz2uE8zJkSs+QHZnBTU0S44P2cDSeMjbOcd+w498WWGCY0Y0dDNtlgWFtzF3G03RnA/oKJz4rekVYgze2l+yRe2H6cTqHH0WXR4/9KfmhpM+5rzHf2RY2yx+/651zSYj2s9jcAK5zc9v+bhFiKSRQi9lM1NaLEIMDP6Hw08+gK8kvb5vtpfT864hOfnGLz6z9NLduhCbZqtt2XUJmz4Vsefqf2fzkP+KZCkOH/zcDw//B4VN/g8OnvRbr51t96sfN6QwKi/UyYBtp+VDR8d2nDd99euEFhrUdDDvaZIFh1VgCpSlkPfryGbJ++4RoFU4RHPopwcG78A/9FB3N1D/WfJZOaWzXKfM2R3HZ7tU/adEazuFMCF4Wl+vFFjZBsPZ+rghxPCRQiwbn8Mb2otqwj02FU+R//jmyT32vfiw89WWUn/eOdbXl9okyzlGJTdq6YQlji3EWD1Vv3ahN38DLcWj7Gxk56eWc9PgdDBz4LtpW2frEVxg88G8c2PEmRrf+Kqi1uSiotsDwu/st/3mUBYaXnaI5rU0WGMbGoRR0Zjy2dmXbZ1a0c3iTTxAcvIvg4N14o3vntW84HaCGdlHt2k7Uk7Zu9JwGC2zPLtY/F1fB83HZnmSDnKDQ6lMSYtW0X3ISLaPHH0OZuO1WVwdP/zuFn92EDieAZHez0oV/SHTSC1p8Zq1R322waggjS9UmkzegMXXD0wqPY/9/jLN9PHX2Ozlyyqs4+dFb6R67j6A6wWkP3czQ/m/wzM7fZXrggtV4SEvmnOPhUcPXH4n4wTMLLzB8+SkeF7XJAsPYWBSKfEazqTNLR6ZN/s3FFYIj9xEcvJvg4N0L7jRo84NEWy8m2roHu3U33f29VGQL7I3LVHHax2W6sL07ICOLR8XGJIFaAKBmDiZjq9pogYiqjFP42U1knvlh/Vi4/dcon//2ZZunvBbENtmqu9zUuoFLFgtqtfSpG5XO09i3+wa6R+9l26O3ki/upzDzJGf8/MNMDjyfZ3a+mUrnKcv1cJbEOcd0BAeLrvFSgiemHE/PVGfdtrbA8Fe3aQbzrQ/RxlgsUAg0gx05OttkVrQuHk4D9F34R+5H2dnX0aExA2cSbd1DtHVPsklKet5eO0x7EavPVHFK47Jd2N7tkOlq9RkJ0XISqAWEk3jTz7RP37RzZJ76Hvmffw5dnQbAFDZRuuhdxJuf3+KTW1km3W1wphoTGddo3VB62XYbPJqpgd1M9Z3P4IHvsPXxOwiiSXpGf0b32M8ZOekVHDz9KuLM6rTXTFdrYbkWnBshunj0TfLIaLhkq+YVp2jO7m/8wdEqxjqsc+R8TV9nlu6c3/Jzwhr80V/Uq9De1JPzbxJ0Em+5MAnRWy6U/mcBNt36O9ON6z4t+Z5o9feyEG1EAvVGF4f444+1TZhWpREKP/s0mYN3149VdryG8nm/t+768ZpbNyqRoWockbEo1QjNi2ndWFbaY+TkX2Nsy4vZ8uQ/sumpf0bbKkPPfJv+Qz/g0HNez5FTXj1vFN2JKEaOA2lIPlRKAnPt/ZlocfeR82Brh2Jrh+LibRn2DFryLe6esDaZ253zNT2FgJ5862dFq3AyXVB497wFhTWm+7S0Cn0x8cDZbdf6JVrApCE624XLn4zL9UmIFuIoJFBvZM7ijT7cHsP0nSPzy29RuO8WVFwCwHSeROmiPyYeOq/FJ7c8ImMpVmNK1WSnwaqZ3bqhFGTaZKqD9Qsc2PHbDG97Jdse+3v6D/0Az5TZ9tjfM/jMtzmw42rGN1/6rFsCl6KFq8wHS46p6jE/tS5bC82FRnhO3lf0Zkl2atSKjo4MxWKItXM3E1951jlia8l6Hj35gN58i8fcOYc3+ct6K4c3+vACCwozxJsuSPuhL04WkQlhY3AWm+nCdW7D5ftk628hFqENkpRoFT32KAoDq1kBXeg8iocp3PMpgiM/B5KezXDX6yif+zvg51p6bifKuGSr7plqTBRbwthhnJs157ktdht8FlFuiCfO/WOOnPJqtj36t3RNPES2MsL2Bz/Fpv3/wtNnvIWRzrNm9TM39zdPLjI0Z3QtLCevtxQUJ6XBuS8Nze3GOUc1nRXdlfXpywet/X8aVwiO/LxpQeHIvJvY/BDR1oupnrSHeOj8NfvvSywza8DF2KAT17kFlx+UEC3EcZJAvUGp6aeTp31buSOZs2Qf+xfy938RZZIhwabrFIoX/wlm4KzWndezMM5h0i2gq7ElNkl1MrYOtCJXjpmYLmOta7RutPFug4sxVtjBgzs/SP7QXew5dDuD8SE6pvZx5k9v4HFzMZ+O38STbssx7yPQsKWQhOaTOhRb0irz1g5Ff47W9xYvUmQsnlJ0ZD1OygUtHXOni4fmLCic3Svj0MSDZzeq0N3PkafsRaK29XemE1vYhCsMSZuPEEsggXoDUuUx9MzBls6K1dPPULjnkwQjDwLJZhCVs66kcvZvt2zSSOwcJu1jrppkFJ2xydP5xiUB2lqHdeAArZIQ2LyzoAZIe6CtWv3Wg6UIjeNQ2ppxoFR7O3kZC2u3upCAC3iz96+8y/+f9Koir/Lu5uX6Z9xqfo2b7OspFDrrLRnNLRoDayg0z1Ubc1fIeGzpypJvVYi2Mf7oQ43Z0FNPzb9Jpotoy4VJL/RmWVAomtRCdFDAFgZxhU3t0fInxDog/5I2mqiMN/F468K0M2Qf+Rr5/7y1Pp4r7jmd0sV/gunbsfxfrhaGTVJNrhpH7CzGgHUW40iCsnM4B4qkgKf1/AkRWim0tzYDYU3VOA6VmvqZS43QPFp59s8HcMrnW7lX8XjhJfyu/SovLX6LjDK83f//+D3/+xzcfiUjJ/86bo3/oo7TucqFwGOoI0dHi8bcJQsK7yE4cBf+4Z+ho+K828Q9z6nPhjb9Z0mlUTQ4m4y5C/LY/BCusLmtxqMKsV6s7d944vhY09JtxfXkk3Tc8wn8sUeAJJhVznkTlbOuPO4qSa3tIrKWKLZEJpnXbGwSoK1NRpYZ0nKySjrFdbrxSbNkksbaDsrNIuM4XEqqzAeLjUrzgZJjtJxcjmfjKdhUoF5lrvUzb+lQDOVIq/IZ4PfZW3oVJ+27jb7hn+DHRU559EsMPf1Nntn5ZiaH9qypFgNjHS6d0DHQmaWzFWPunMObeLxRhR57GDXn/5rzskRNCwpdYdPqnqNob84lIdrPYnMDuM7NbTPJSYj1SgL1BqLHHmlNbLQxub13knvoyyibDBGO+3ZRvPjd2J7n1G9WqyYbC1WTbp+d9irbNEDX5voeq+0CSAL0Gu9bPpbIOo40LQA8UKxVnh0jZVjMnnVawaY8s6Zm1N7elGf+NT2KsLCVX57/Xzky/gtO3ncrHVP7yJUPseOBjzHdew7PnPG7lLp3Lu0BryCbfo/lA01fR0BXrgVj7uIyweGmBYWV0Xk3MYVN9Sp0vOl82d5bzOYczoTgZXG5XmxhEwT5Vp+VEBuGBOoNQk8+iY7Lq94v540/RuGeT+BPPA6A1RlGz/htRk57DcZp7HhpXtsFuKS9YqG2C63Q6zQkzxVbx5Hy3F0Bk9fDpUWGZmAoP2fcXFNo9pdxG+5i3zk8fNFH6Tv872zb9/dkwhG6Jn7BWXe/j9EtL+HAjt8myg0u29dbCpu2AWV9nYy5KwT4qxyi9czBxoLC4fvrf2zWOKWJB86uz4a23aetqWq/WB0uroLn47I9yejDdTavX4i1QgL1BqBKw6jSyLL3zcUuWaRXNZbYWKqxw5IEFWuqbHrsK2x58qv1+bdTPWfxxFnXEnWchDLQHAnXW9vFYhnrGC5T39DkYNNiwMNlWMxIZQUM1kJz07i5rR2KTQUIljE0P/vJaMa3vISJoRewaf+/sOWJr+KZMgOHvk/fkR9z5NTXcOi012P91a+cOeeI0jF33dmAvsIqz4q2Mf7Ig40dCqf3z79Jpotoy0VJFXrL83GypbOYyxpwIdgMLtOB6doOmY5Wn5UQG54E6vUuKuJNPrno/rmF2i5ia7GOestFvZoM4JKimZdWlAEKk49w2kM3kS8+DYDxchzYcTXDJ/86qI1SX24wLmnDWKg940gJ4kUOAxnMza80n1RQbC5A0GaLJZ2X5fBzrmB062Vs/eUdDD7zHbStsuWJ/8nAM9/hwI7fYnTrZauyeC4yFl9pClmPvnyG7CpunqMqE8mCwoN3ERz6WX3TomZxz/Z6FdoMnAlKFhSKlDU4G6G0h/NyOD+Hy3RCRz8M9WPHixAv5rkqIcRKk0C9npkYb+RhjJep9yDHNtnuujY7uba4zzgwJqkwp1EZD4VaoO3iaNVkZUJOevx/sOmpf2lUpfuey1NnX0s1v353YXPOUYphrAJjoWM8rvLEeMyBGVuvNC/2d95Ajnnj5rZ2wOaCIttmoXkx4mwv+8/6A4ZP/i9s23crPaP3EkSTnLb3c2za/w2eOeN3mRrYvfxf1ziUgo6Mx9au7OrNinYOb+KxdEHhXXhjjx5lQeHzmhYUDq3OuYn25gzOxGl4zqThuQuX7Zm/AU+b7KgqhGiQQL2OPfHQPYyPl4mMa7QO1KrJav7uc0tZxNc5/gtOfegmcuVDABgvz9Nn/C6jJ71iTfd9RtYxXoHxMBkrN1Zx6Uvy9miYvB2aWZ91zPvsz1KfmFGrMm/tgC0dazM0L0al8xQee9776Rr9OSfvu5X8zFPki/vZ+fOPMNV/AU+f8btUOk9b0tdI/kh05DzFUGeGjmCVxtxFpXSHwrsIDt6DrozNu4kpbE4CdG2HQpm4sLGl86BRHs7L4oIcLujA5fqSxaZr+GemEBuVBOp1rFqtoLTGX9SgtBOj4zInPXY7m57+Zv3Y5MDzeeqsd7TNArSFOOeYiWC0KRyPhbX3G8cWu3X2XH3ZxhbazZXmrQVFzt+4vyynB57HQ/3nMXDge5z0+P8gqE7QPXYfZ//kvzJ60mUcOP0q4mzfrM9xaa9+MgJRJXPClcJPt3H3lCITaDb35nAdPtas/IY6euZAfaydP/zAURYUnkN00h6irXuwXadISNqonE3Ds0raNoIcLiik4Tkn3xdCrBMSqMUJ6xq7n1MfuplsZRiA2O/k6V1vZWzLS1r6S6JqknBcqyY3KstNFeYQohNoPVRATxb6s8l22f05RX8u2QWwL6sYLCi2D+Zw1Sp2MSsKNyLlMbrtFYxvvpRNT/wjm/d/Hc9WGTzwb/Qd/ncOnfZ6Rk97DcrP4WuFrzUZT5EJPHydPMMy/9kVTXc+YCoyLG7S9nGy0ZwFhU/Pv0mmm2jrRekOhbKgcENKN1FB6bTynMf5eVy2LxlhJ+FZiHVLArU4bjoucvKjtzJ44Dv1YxNDe3jqzGvmVReXk3WOqWojHI82hePmYzPH7rg4qpxHIySngXkgDcy1433ZY4+a01pRCBTFE6xsrxezqsqAQs2rKntBB+XnvpkjZ72a3oduI//Ud/FMhW2Pf5mtB/+V8nlvoXrqy0C1pl9UVcbrOxQGh3+GisvzbhP3nt60Q+EuWVC4kTgLNgJUEp79tPIs4VmIDUkCtTgu3SP3cOrevyETJn2iUdDN/jPfzsSmS5b0C6QSN4XksKlHuZL0MI+GjonK4idiNNNAb5Z6MB7IKfrSqnJ/TjGQVfTloODP7ysX89l0N8ralBetwNMaL60ez6oq+xrfUwtWlRu2UHnBe4h2vY78fbcQDN+PLo/Qcddfk330a5QvuIZ46LyVf2DO4o3vq1eh/fFH5t/EyxJt3p2E6C0X4wrt29YklpFzYKuAwulMo+c525uGZ1kkKMRGJ4FaLIoXTXPyI19k4ND368fGNr+Y/bt+H5PpPurnGeeYDOf0Ki/Qr1yKj3oXx1TwG1XlgZyiP9tow6iF554sq7/z3Rrk0h0ojUt6YRRpJVk3Xvz0JeNpMr6uV5uXg+nbycxL/4rgwI/J3/8FvJln8Mf30fW/3kv1pEson/9WbNfJy/K16qISweF7kxB96G50ZXz+eXVsaexQOHSeLChc7+rhmTQ853F+2vMs4VkIcRQSqMWz6j3yY07Z+3mCaBKAaqaPp868hoN9FyfV4ylb71UeT6vKtfA8ES5uR7+5PAV9OerV41mtF1mVVpkhv4EX+B2P2thEl1b4tQI/rSrrtKLsK3UcVeUVohTRtkuItl5M9rFvkPvF7ejqNJkD/0Fw8C7CHa+mcs5v47JH/yPu2ejpZ5p2KPxPlJu7oNAjHjy3PtZOFhSuY7Xw7FzatpFPFwz2QNAh4VkIsWgSqMU8sXWMh1CaHue8J77A6dM/rn/s2/6v8vH4ap76WQcVc2LNyp1BLSDPXtxXC8kDOUV3hnnzr8V8jaqyA9zsXmWVLNbzlCLwVqaqvGK0T3jGb1A97WXkHrqD7L5/QtmY3L5/IvPkd6mc81uEOy5f3O6fNsIf/s96iPZmDsy/SbYn3aGwtqCwcwUelGipWeE5k1Sd/TzkenBBx6psMiSEWL8kUG8gtVFxsyZfzJmGMR46JkPHb+gf8sHgVvrUDABPu0H+LHo7P6icf9T7DzTzWi76m3qVa4v61uus5eU2q6qskl5wrWthOWnBCHRSTc61sqq8glymi/IFbyfc8WryD3yRzNP/jo5mKNx3C9l9/0z5/N8n2nbpvM9TlTGCg+kOhYfvPcqCwh1NCwrPkAWF642pgrNpeM6Dn8dle5I/liQ8CyGWmQTqdcg6x7cfOsLde0MOz1hGmxb3VZ+l/2IzY3w++H94hXdv/dit8Su5Wf8Wuc4CFzZXk7ONSvNATtEZyKK+xTLpwr7a1dKoNBCDTlsxfK3J+ZrAa4Tljcp2bqV4yZ9TGfkFhfs+jz/2MF7xEJ3/8VHigXMId18DlTzZR3+Ad+Au/PFH592H83KNBYVbL8blB1rwSMSKMFGy06CXwXk5CJrDs/yaE0KsPOWck2G5q2R4eHpVvs6Pnxjjj/7hPxd122xtVFwGXq/+F1eX/468S6p505nN/GLntbD5XIJjjIoTDUpBLp9lpljBWIeG+Yv6VBKQs74mWIdV5RXnHMH+75N/4It4pSPHvGmyoHBP04LCRbSIiEXzPE13d46pqQrGnMhqiRNgIsAkCwa9HAS5NDx3bZjw7Puavr4OxseLxPEqXXch170FWnXNh4aOfx+BjfLv87oAACAASURBVPHTZ4PZOdjBzsEOxmZKaQtGsunIQK55M5KkqlzwIVsZ5tS9/zfdY/cDSSfukVNfw4HTf4vAy7b40bSP2rg465INXjzVqConY+MU2UAz0JsjzCaLmXwJystPKaJTX0q07RKyj36N/EN3oOIS0LygcE+6oPBkWVC4ltm08qwD8HLJxI1MdxKe5Y8jIUQbkUC9Dg12ZrnzbRcz/Mu7KZXjo+/Y5yxDT3+Lkx67Hc9UACgXTubJc66j1LNrFc+49eqzldN+ZQ+F5yn8phaM2qK+jKfxtVpw0WTzjn2rVrHbqLwM4VlXUt3+a2QP/Ih87wDT3edhvHyrz0ycCBuBNTjtJ/3Ofi4Jz9luCc9CiLYngXqDypYOcupDN9E18RAATmkOn/Y6Dj7njbh1Nme31q9cm4Kx0GzlZFycR5Aekwkja4fL9hDtfDX57hxMVUD+kGl/Nk7Dswd+LhlXl+nGZbtkzrcQYk2SQL3ROMOmp/6Fkx7/H+h084JS52k8efb1lLtPb/HJHZ+FNiLRqrH5iFaKwEv6lKVfWYgWScMzWifB2c/hMl24bI+EZyHEuiGBegPJzezntIc+S8fUPgCs8jm0/Q0cPu11SY9iG3HO1dswQKEUybi4OYv7amG5bUbGWQNxCLLWV2xE1uBshNIezssl4Tlba9uQ9RhCiPVLAvVGYGO2PPk1tvzyTnS6K1yxeydPnn0dlc5TV/900rBsjzJf2U937sv6SRtG0svcplVlZ8DEOC/A+QVUoQuGhrD2ELZSRMVllKkmM46lD1SsJ9YAIRgfpzQ2yOMynUnl2c+1+uyEEGJVSaBe5/LTv+SU//wMhZknALA64MDpv8WRU16zIpsb1DYjaZ6EkYRl8NJxcZ5Wa3e+sjVgo2TebVBInrrO99erb9rXkO/A9WSwHWkvr41R4RSqOoWKymAqKBMl17/NnhkQYkHNbRu1ynOmEzr6YLAfO1HCyhgxIcQGJoF6vYpDBvbeTv+j/4ByBoCZnrN48uxrCTu2ndBdzhobl07CqG9GojSel07CWEtbXD8bG4OLcTqbBOhsNy7Xd3y9n9rH5fuT4F1jokbIjssQV1DWpCFb/lmKFpo1bSPX1PO8QNuGr2UsoRBCIIF6XVLhFF1ffQP+aDLBw+gsB3ZezfDJ/wcoveDn1CdhpGG5trivNvHC1yQj43xNJp25vC4nYdTChJfDZQrJhhHZ3uVv1/ACXGEAV2jarc+EScgOp1BxBWUqOGtQOpCtksXKqG+Sks55ro+qk2kbQghxPCRQr0PBwbvqYXq677n88sx3UsoNgXUobH1snK8bUzEyvt6YkzBqWxb7+WTTiGwfLtfTmiqxl8UVhnCFocaxuIIKJ1HV6SRkx2HSt+0FSV+2EItlquBs0/bcOdkkRQghlokE6nWoesqvUHrxDVRNldH+F9KtNEPtNAmjlUwVcDgvDdBdfckiqnatANeecu/YnLzvXNKDXRlHRSVUVEaZEJxNKopHeQZCbCDOga2Cc0l49vPJRinZ7qTvWVqKhBBi2clP1vXIyxJeeC19xYfQM9HG3rHPJLO2nZ9LeqBzfbhMd/sG6GejVBKOOvPUB/M5B1EZFTaFbJv84YDOSI/relYLz4DTmXTOcx5yPbigY+1+nwshxBojgVqsH/VwodIWjgIu15/0g67nyq1SkCkkPd+1Y85CVERVJpOQHddCNhKy1ypnkx5/VBKegxzOLyQtSn5BwrMQQrSQBGqxdtUDtE7aN4ICNj8AQacERqUh05VMZ6gdswYVFaEyiYpLTTOytSxAazfOJv39SuG8bOMZlmwvBPn1/QeiEEKsQRKoxdrhXNLCoXVSmQs6sPl+CDokQC+G9pLRZ9nuppAdo6ozqHACogrKlFE2AmQjmlXjTBqevSQ8B7nkGZZsXxqe5XtbCCHanQRq0b6cxZkIpTXW78AFHbj8gISM5aR9XK4Xl+ttHDNRMlUknETFFYjLKBsni9lkQdvS1Lfm9tMFg7nk+zrXC15Ovq+FEGKNkt+Oon04izPVJOQFHbhMBy7XD0Gh1We2sXjBAhvRVJs2oqkkm9FYm4Zs6d1d0FF2F3TZnmSDFAnPQgixbkigFq3jDJgY5/k4Pw3Q+QHwc60+MzGXl8EVBnGFwcYxE6IqE0nLSNqP7axBef7Gm5F9PLsLCiGEWHckUIvVYw3YKHmqOygkgSPfL4FjrfKyuI7Nc2Zkh+mM7CIqqjTNyA7Wz0I62V1QCCHEHBKoxcqxMbg4HfHVkWwskeuT0LFeKZVUZzu3Hn1GdpyGbBzoNRCyZXdBIYQQiyCBWiyf2tPeXi6ZiZztScZ8SfDYuI46I7uMCicalWwbJh9r1Yxs2V1QCCHEEshvCXHiTATOpJuoJGO+XK5Hwoc4NqUhk/bM147VNqIpTyT92HGpMSNbB8sbso+2u2A9PG+w/m8hhBBLJslHLJ5JtrN2Xhqgu/qSiQUSQMRSHW0jmuoMKpxMRvfVN6I5jhnZsrugEEKIVSCBWhydSat4tV3acn24TLeEELE6tIfL9STht8bGjfF9URlMJQnZZMBlIK6ARXYXFEIIsaokUItE/WlwlbZwFHC5/mRygQQR0S60v8CM7AhlpqHTw/inEiuZ8SyEEGJ1SaDeqOoBWiftG7O28ZYALdYQL8BlB6GnA2wRYtvqMxJCCLHBSKDeKJxLWji0l1agmwO0VPOEEEIIIU6UBOr1zBowEVYnAdrlB9JeUgnQQgghhBDLRQL1enbS8zDTMVaeAhdCCCFEm3HOYZzBOENoQqqmQtVWMc4SO4PSlmys2aJPRdHeAxEkUK9nfhaIW30WQgghhNhAjDMYG1O1EaEJiWyIcYbIxhgXEzuDsQbrDA5wODyl8ZSHblrH5SlNbC1WWTwJ1EIIIYQQYi2zziah2ERUbUhoQyIbYVwSjGNbC8oxLt1RQKHwtIenZodhBfjagzYPycdDArUQQgghxAZUa7mIXUw1rhDaKpGtEqfh2dqY2MWY9H1wKEgryR5qzposT2k8L9OSx9JqEqiFEEIIIdYRY2OMM0nLRVwhclViFxOnbRaxizHWErsYBdijtFwAKKXwlYe/QtVk4wxT1SmmqhNMVCeYrE4wGU0yUZ1gKpoEbXnnWX/E2d3PXZGvv1wkUAshhBBCtDnrbNJWYSNCGxKasL6gL057k5O3DQ4LzqF1EpDntlwAeFrjsXLV5GMG5aZj09F0vUXkaP716W9y9jkSqIUQQgghxBxzWy4qtkpso0abhY3qfcmWZGLXsVoutNJkvJXdnK0WlCdrIbkpKDcfW0xQPpq8l6cn00tvtpfNnZu4YvtvLvOjWH5tHaj37t3LjTfeyIMPPkgQBFx66aW8733vo7+/n/vuu4//9t/+G/v27aOvr49rr72WK6+8sv65X/3qV7npppsYHh7m9NNP54YbbmD37t0AGGP4+Mc/zte+9jXK5TIvfOEL+cu//Es2bdoEwOjoKDfccAN33XUXnufxG7/xG7z3ve/F99v6cgkhhBCiDZh0gV5oQiITUrVVYkzaimHrr2MXAw5QeEqj05dmWim0F6z8Oa9iUE5eepLQnOmlJ5h9LOtlAfA8Taag2Opt5QS/5Kpp24RYqVR4+9vfzm/+5m/yuc99jmKxyHvf+17+/M//nBtvvJF3vOMdvOtd7+Kqq67i7rvv5vrrr+fMM8/k/PPP5yc/+Qkf/vCH+fznP8/555/P7bffzrXXXsv3vvc98vk8N998Mz/84Q/5h3/4B7q6urjhhhv4wAc+wN/8zd8A8O53v5vNmzfzgx/8gJGREa699lq+9KUv8fa3v73FV0UIIYQQrWCdpWqqFKMixWqZqgmTEXDWpK0XtbeTcbXOWXQ64WJuSEalC/hWsOWiZqGgPJGG5ZUIyr2ZXrozPbOCcm8aljNpUF6P2jZQHzhwgLPOOovrr78ez/PIZDJcddVV/Omf/inf/va36e3t5eqrrwbgkksu4fLLL+f222/n/PPP58477+TVr341F154IQC/93u/xx133ME3vvEN3vCGN3DnnXfynve8h61btwLw/ve/nxe/+MXs378fay133XUX3//+98nn85xyyilcd911fOxjH5NALYQQQqxDzjliFxOZKuW4TGgrxM4Q24jIxRibbDLSGeWYmQ7BsvCUixXuS24mQbm9tG2gPv3007nllltmHfvWt77Fueeey6OPPsquXbtmfWznzp185StfAWDfvn284Q1vmPfxvXv3Mj09zaFDh2Z9/uDgID09PTz88MMA9Pb2snnz5vrHd+zYwYEDB5iamqK7u3tR53/kyBGGh4dnHfP9Qr2tZKV5aQ+Vt8K9VGI2ue6tIde9NeS6t4Zc9+OXLOaLqZgy5bhCbKtENk7bMCIim1SV581N1uCj8T2N1oqsnyUOwNqV6z+oBeWJ6jiT1UkmwvHZgTk9ttSg3Jvto6cWkGvhuH4seZ1tdVBWDmMtXkbj097f720bqJs55/jkJz/J9773PW677TZuvfVW8vn8rNvkcjlKpRIAxWLxqB8vFosAFAqFeR+vfWzu59beL5VKiw7Ud9xxB5/5zGdmHbv++ut517vetajPXy7d3flnv5FYdnLdW0Oue2vIdW8Nue4JYw2RjSjHZSpxsnV1bGMiE6Wj4mKsSxb0eZ6H53t4SqU773lwnBXljs4TC5nGGibDScbDccYr4/XXE5WJWcemwqkTDsoFv0Bfro/ebC99uT76sn3J6+Zjub7WB2Wath23BkjG8wUqwNc+gZe8zuoseT9Pd7Z73rMB7abtA/XMzAx/9md/xoMPPshtt93GmWeeST6fZ3p6etbtKpUKHR0dQBKAK5XKvI/39fXVw3G5XF7w851z8z5We792/4tx1VVXcdlll8065vsFxseLi76PpfA8TXd3nqmpMsbYVfmaQq57q8h1bw257q2xka67c47IJjvzleMyVZPMU0526GvMVXY4tPLwlf8swStOX46f1oqOzizFmXBWhXpWRTmcmLWIb6I6wUS4PK0XsyvKffRmeo6/omygWnRUqRz7dsugNs5P4QCNpz187ePjE2gfX2fp8HPkvHxyXDdFUpecq4emO7f63+t9fYvPezVtHaifeuoprrnmGk466SS+8pWv0N/fD8CuXbv44Q9/OOu2+/bt44wzzgDgjDPO4NFHH5338Ze85CX09PSwefNm9u3bV2/7GB4eZmJigl27dmGtZWJigpGREQYHBwF47LHH2LJlC11dXYs+902bNs1r7xgeniaOV/eHnzF21b+mkOveKnLdW0Oue2us9eteq1BWTZWKrVA1Fao2xriIyEb1xX7J7nwKX/vzNx1B49VaARxY51iucRDGxkxGtR7lSabjScpqhuHpEcbDlelRbp500RMcf4/yaoXO2jbkSeVf4SkPT3sEysfTAYHyyHo58n6ewMs8+x86FmJ79HNfC9/rbRuoJycnectb3sILX/hCPvKRj6B14x/RK1/5Sj72sY/xpS99iauvvpqf/vSnfP3rX+emm24C4I1vfCPXX389r3rVq7jwwgu5/fbbGR0d5ZWvfCUAV1xxBTfffDPnnXcefX19fPSjH2XPnj2ceuqpAFx44YV89KMf5UMf+hDj4+PcdNNNvPGNb1z9iyCEEEKsUcbGRC4mjCtUbCVZ4GejpB3DxRgb42pbWWt/3uYjvl6Z3fkiG9VD8uS8RXzJ21PRJNPR9LPf2VHU5yjXQ/JCY+LaczFfYza2QQEaja+DpMKskkpyRmfJeTlyXhZfB/OnmGxAyjnXlpP9vvjFL/Lf//t/J5/Pz/ur5t577+WBBx7gIx/5CI888gj9/f1cd911XHHFFfXbfO1rX+Pmm2/m8OHD7Ny5kw984ANccMEFAERRxKc+9Sn+6Z/+iWKxyAte8AI+/OEPMzAwAMDIyAgf+tCH+MlPfoLWmte97nW85z3vwfOW9g97ePjE/3EeL9/X9PV1MD5ebPu/6tYTue6tIde9NeS6t0Y7XPdk176IigmpmApVG2KsIXZJZTm2MRaDA3yVLPJb6R7YiqkwWZ1kqhaMo4l0V77JRliOJinFJ956WfALafW4Z80F5RqTbhSTTL9WeNpPK8tJWA5UkIRlP18/3iqt+l4fGlp8R0JN2wbq9UgC9fon17015Lq3hlz31ljp677QCLkoDWGRizBNrRi1ba1XqkLpnKNsysesKE+lxyrmxPuCO/zOplaLntmtF5keeoJe+vJ9DPb1MD1Vadve9YVaMXztEegArXwy2iejsotvxWixtRSo27blQwghhBDLL7YxsYupxGUqpkLkonSsXDI+rtG3PL8VQ7E8rRjOOYrxzDHbLpJjk0S2ekJfQ6HoCrroSecn9wQ96Szl3lnhuTvTQ6CffSfCVo8pPForhq+9pCVDeWR1lqy0YrSEBGohhBBinahNVgjjMmUbEqUj5Grj4+K0bxnAV3re5iRLDcvWWaaj6Ub1OErnJqdheSptu5iqTqbbbh8/jU4Cclo5nlVJrofkXroz3fP6stvZ0VoxkgkYAb7yyXt5sn6u5a0YYj75vyGEEEKsEbGNqURVqqUZhmcmqMRVYhsRp2HMOAPOofX8EXJaKTLes1diFzJvV76jVJSnq1NYTuypeV/5aVCutV3M6VNOw3Nn0LXmKq/HasXwVEBG+wQ6S97LJzOY27wVQ8wngVoIIYRoI8bGhCakFBep2JDIRkS2SmQiLA7PU/TrLopxtd7Lm7RiJDN+j0cy8aLRhzwrIDe1XcwsYTRcRmfqobg7aFrAl0kqybWe5Q6/Y02GyGdrxfCVT1ZnyPp5sjq74Pg/sfZJoBZCCCFWWRKaq5TiGSo2JLZRfYc/4ywKN68HNkiry56nnzWQVU3YaLWImhbvpcem0vBcXMLEi5yXn9N20VRRblrYl/PmT+taC5xzWGcwzuKcxcMjazTW2TQ0J60YgQ7I6xxZP9mgZC21mYjlI4FaCCGEWAHGGcI4pByXKNtyfQ5zssufARTBnGplUmU+ushGDIdjPFUtcXDiCOOV8bSiXGu7SEJzxZSPcS/H1uF3JAv5jtF20ZPpbYvtq4+HdTZ9MfVau0Knm5JoPOWjlYenNL7yk41KdIaMzhDogGwQMNjfzURQkqk2Yh4J1EIIIcQJqu30V4qKVGwlac2oT8uIAYWvvVlVy2O1ZlhnGQ/HGAlHGK0MM1IZYTQcYaQyzEhlmMlo8oTPtSvoTkNxT33yRW9TRbk2/WIxEy/aQaMvudGKotFpOPbSF7/p/YCMDsikbRfenP8vz8bXek1W2sXqkEAthBBCHINxhshGlOIS5biU7vYXUbXRMULzwtMynHNMR9OMhnPDcvL2aDiKdWbR56ZQ9ZFws2cnz2676A6623oqhHMOS1pBtgbSqr2XVoyTKrI/631f+WS8LBkvWw/Q0pssWqV9/3UJIYQQq8Q6S2QjinGRSlyiOic0OyCY0x97tNBcMRVGKyMMV4Ybwbkywkg4zGhlhNCGiz6vnJdjIDvIYG4oeckOMlQYYlv/FoIoT0F3tmWIbPQfN7dXqKaKcaO9ohaGM1623l7hrdLuikIsFwnUQgghNoRaaC7HJUpxkSjdDbBqo7Sv1iXbZDdVchcKzbGNGQtHGUmry7XWjFqbxkw8s+hz8pVPf3aAwVwSmgeyQ8nb2UEGckMLTr7wPE1Xd25Vd+ybPfYtkbRXeE3V4cbbvq61V2TqC/XauUIuxFLJd7cQQoh1ozk0V0yZMO1prppqOqPZpv2zs0MzTaHZOstkdbJeXR6pDM/qaZ6oji96hJxC0ZvpZSCtLieV5sF6cO7J9LakwlwLx8lEEVBKoWlUjHU9GHuN9gqdIfCy9YDcjpVxIVpFArUQQog1xTlHZKuU6qE5qi8GNC7GWYunkx3maporzc45itFMWmFOg3JTtXk0HD2uXfw6/M40JA/W2zIGc0MM5Iboz/av+CK/5vFupFG/3l5RC8hNlWRPeQQqIPAyZJv6j6W9QogTJ4FaCCFE26mF5kpcpmRKhDYittVGT7Nz84JgEh4zoJM5zAdKh9Pe5ZGmtozk9fGMlcvoTNqOMTirulw7lvfzK3YNahuG6KSOXO/jzukcxlc4pfG0X2+vqPUfz91SXAixsiRQCyGEaIkkNEdU4hIlU6ZqIyIbEtmYyEaAQ6czgeeGZuNMMl6uMtLUmlF7e5ipaGrR56HR9OcG6n3Lg7XgnBtiMDtEV9C17OF09u56Kt3pMEhG6qlkS2pfB+R0jqyfI1CNNhXf1/T1dTBOUeYhC9EmJFALIYRYMfXQbCqU4mI6PaNan6LhFgjNWikyOmA6mqr3LyftGI1q81g4hmXxYbI76Kn3LzcH54HcEH3ZvmXd3W5+WE4qy35aPa69ndVZcn5+VlgWQqxN8i9YCCHEktRCczkuUzYlQlMlttW00lw9amg2zjAaDifj5ea0ZoyGI1RtddHnkPfy9dFyc1szBrKDZLzMsj3WBcNyGoolLAuxMcm/ciGEEMdknCG2MaEJqZgKVRsm84WVoWACxianieJ4XmiOXcR4daxpUkYanCvDjIYjFOPios/BVz4DaXW5tuCv8fYgHX7Hkh9nLSybdDTcQmHZUz45LydhWQgxi/wkEEKIDczYmMjFhHEl3To7wlhD7OLkYzZKWiucq0+KqI1LUxpGKpM8OfUMR8pH6ttjj6bTMyarE8c1Xq4v21+vLg9mh+pheTA7SHemZ0lj2iQsCyFWkvy0EEKIdagWIKumSsVWqJqQ2EXE1mBsTNUlwdml//mqsXV22ZSZqk4yFU2lr5vfbryejqaS2c6L1BV01UfL1YNzuvCvL9s/a8zdiTzWuWE5maOctGD4EpaFECtIfqIIIcQaU+tZjtO+5aoLia1JA3NMZOP6zn8KhUYRuYipaJrpaJLJ6hTT0WRTQJ5iMppkOg3LxzODuVlWZ2dVlee2ZeS83Ak91rlh2dfJHGWpLAsh2oX81BFCiDZinSW2EdV0nFzVRkQuxtgo7WU2GJI5zJGJKJoZitFMEoibgvFktRGQp6Kp41rgt5BOv5PuTA/dQXf9dU+2l219W+i0vfRl+un0j2+8XG1DkvgoYdnXHr4K6mHZV/4JV7GFEGIlyU8mIYRYJY3FfRUqJqwv7jM2JnYxsTWEpsxUNM1MNE0xnmE6mk5aLqpTTM0JyxVTWdL5FPyOJCAHPXRnumeF5eR18nZX0LVg1dfzNF3dOaanKhgze4SdhGUhxEYiP72EEGIZ1Bb3VeIyoQ2JbURkY4wzhHGZ8eoEk9VxpqIpZuIZZqLpJCzX2i7SCnPJlJZ0HjkvT0/QTdecanIjNPfQnemhK+g6oS2xnXNYLNZZIhyZWFE1VXCaIA3FnvYJJCwLITYQ+QknhBDH4JwjdjGRidLFfRViFxOaiMlwjNHqKBPhRL16PJ0G5eZ2i2I8s6RzyOgMPZleuoJuejI9yeugh67MnKAcdB/XvOXmcGycJWnWUGg0ntb1rb11+tpTHp72CNItrguZLAP93cxkqrJjnxBiQ5NALYTYsGqL+yJbpRJXqNgyE+EkY9URxsMxxsNxJqoTTEeT9ZCctGBMMRNNL3ok3EICHdSDcXObxUKheTGL+WotFpGNjjscZ9KAXDu+2D5o39NplXtp/dlCCLHWSaAWQqxLtcV9FRMyVkl24xurjjEWjjFRHWMinEgX8k2mPctJWD6e7azn8pS3QJtFzwK9yd3kvPxRg2stHBtncThCE7LS4VgIIcSJk0AthDhhzrn6HGNcUq11kBxxtbfS26bHrE22bU4W4UUYGxHV3jfpJAsXETtLnM5KNi5ZtGedIbYWU3vbJT3KFkPkVTg4eZjxSlJVrs1JPt5ZyXNpNF1B1/zFek1tFrWPFfyOeQF2Vjh2FpRGKYitkXAshBDrhARqIZZRUhWN01nAJg2VUAuWtVBZC5vG2SQUmnQ0mouTsGliYldNQ2UtSCYfNy6uh0rjLMZF6aSI2m1rHzONF2swJK/t3GPp+7Z2zJnkPkjus/6x2vGm2ye3s7M+XguPtdva+vH0/SVUgJeLQtEZdB1j0V7jdYffWd+hb6FwDOApjVYapVQafv00IGt87Us4FkKIdU4CtdhwauHOpk+nW2eJbETVhJSiIkVTohQXqZgyZVOmHJcJbYVSXKZiyoQmpGLKVEyF0FTS9yuENhmD5pQliuN68GoOmrbpfUPyWiyf2qzkrqME5J5MN11BD51BJxp9lHCcbK3tKV1/Wys/2UlQ+wQ6kHAshBBiFgnUou3UJg8k1cAk9Bpr6pXaalylZEsUo2nKpkJoypTiCmVTolIPu+V01m+lHnwrJkwCsA2pmpDQhoQmpGqr6bbMJ7Y73FqhUE0B0WsKjLUA2Xh9zNuRtCRoGh9PPs+vB9Gj3f/c+220Oehj3q7REpHerulrK6UJPJ+hvl6K01XiOJ5TOfbw6/fXOE9fBxKOhRBCLAsJ1OKELBx6k3aFWutAaKtUTJFyGnbLcaVe9U1Cb0jFlKjESchthN+Qqq0Qmuqc4Ju8bnXwDXSGnJclo7NkvSxZL0e2/naWQi6HjZIAOzc46llVz9lhcsGAi07Cq/LwOP6gqlGopnYEXKP1pPb/EZp7n0E5B7NCparfhvrsiMbHFAqlkteQfGp6FJrfTm+NanpPqdrR+v3Ub9d0X81fN2m/qH1NjQZ832egu4uiilDWk3AshBBiVUmgXsecc/WtihcOvTExBmMjSnFS6S2mATcJt2UqcZmKLdePhSakbMqzqrxVE1IxIZENCW2V0FSo2iqRjVr6+AMdpEE3l4TdNPRmvCxZnUtCcf14jqyXmReOszpHxsuSS2+X8bLJtU1bRZxzTXEUfM+juyvP5HQJaxyLDZzQfOzZA2f99mrWR2e/3xQ4k/vV6PQ8dP19XQ/dtXNs/tqN90jPS807j3bg+5q+fAeqUpR5yEIIIVadBOp1yNiYbz31Le5/XpucmAAADvhJREFU4GdMlWaoxEnAbbQ7VOvV3tBWiWxrZ8j6yp8XeucG24xOQ62Xmx+Cda4pADcCNDRNlkj/oJhVa1UKnEoru0n0VCqpKqs0ZHpKp5Xm5HaKtCKsfXw0XrornE6r0UHgMdDXxUSmJMFOCCGE2CAkUK9DPx29hxt//pFlv98k+KahVifV3PmtD5kFw3FzIG4OyBkvmywOw9ZHsFlnkxFsSpM2IaShVqd9wGnwRaeVVZ0G2loFVs9qqQiUh9bJ1sfNLRC1AL2caucmhBBCiI1DAvU6dEb3Ls7tey6HygcJVKbeutDc0pBJK7q5pnDcuF12gWpxBq28RqsDDpe2PNRaAZLoS73CW6vq1oKrqvf0pqGYtDKsfDw0gfbR2q/3FTeCsvTCCiGEEKJ9SaBeh/qy/dz8K7fwVLSPqekScWyaNkhu9MQ2KrlpyMVbVPD1tIefTkXQc/pwa/N6hRBCCCE2CgnU69j2nu2MuyLKenPaJST4CiGEEEIsFwnU61h3thuT8WRxnBBCCCHECpIypRBCCCGEEEsggVoIIYQQQoglkEAthBBCCCHEEkigFkIIIYQQYgkkUAshhBBCCLEEEqiFEEIIIYRYAgnUQgghhBBCLIEEaiGEEEIIIZZAArUQQgghhBBLIIFaCCGEEEKIJZBALYQQQgghxBJIoBZCCCGEEGIJJFALIYQQQgixBBKohRBCCCGEWAIJ1EIIIYQQQiyBBGohhBBCCCGWQAK1EEIIIYQQS6Ccc67VJyGW35EjR7jjjju46qqr2LRpU6tPZ8OQ694act1bQ657a8h1bw257qtvLV1zqVCvU8PDw3zmM59heHi41aeyoch1bw257q0h17015Lq3hlz31beWrrkEaiGEEEIIIZZAArUQQgghhBBLIIFaCCGEEEKIJfA++MEPfrDVJyFWRkdHB3v27KGjo6PVp7KhyHVvDbnurSHXvTXkureGXPfVt1auuUz5EEIIIYQQYgmk5UMIIYQQQoglkEAthBBCCCHEEkigFkIIIYQQYgkkUAshhBBCCLEEEqiFEEIIIYRYAgnUQgghhBBCLIEEaiGEEEIIIZZAAvUasHfvXt761reyZ88eLr30Uv70T/+UsbExAO677z6uvPJKdu/ezWWXXcadd9654H188Ytf5M1vfvOsY8YYbrzxRl70ohexe/durr32Wo4cObLij2etWKnrXhPHMe985zu56aabVuwxrEUrdd3Hx8d53/vex6WXXsrFF1/MW97yFh566KEVfzxrxUpd92eeeYZ3vvOdXHzxxVx00UVcd9117N+/f8Ufz1qx0j9nAD7xiU9w2WWXrcj5r1Urdd1HRkY488wz2b17d/1Frn1ipa65tZbPfOYzvPSlL2X37t1ceeWV3HvvvSv+eOZxoq2Vy2V36aWXuk996lMuDEM3NjbmrrnmGvcHf/AHbmJiwu3Zs8fddtttLooi96Mf/cjt3r3b3XffffXPLxaL7q/+6q/crl273O/8zu/Muu9Pf/rT7vLLL3cHDhxw09PT7t3vfre75pprVvshtqWVvO7OOff000+7t7zlLW7Xrl3us5/97Go+tLa2ktf92muvde94xzvc2NiYC8PQffKTn3QvetGLXLFYXO2H2XZW8rq//vWvdzfccIMrl8uuVCq597znPe7qq69e7YfYllb654xzzv3oRz9y5557rnvZy162Wg+r7a3kdf/ud78r13oBK51lfv3Xf909/vjjLo5j97nPfc7t2bPHhWG4qo9RKtRt7sCBA5x11llcf/31ZDIZ+vr6uOqqq7j77rv59re/TW9vL1dffTW+73PJJZdw+eWXc/vtt9c//7WvfS3Dw8O86U1vmnffd955J9dccw1bt26ls7OT97///Xz/+9+X6hEre90fe+wxrrjiCi666CIuuOCC1XxYbW+lrrtzDqUUf/zHf0xfXx+ZTIa3ve1tjIyM8MQTT6zyo2w/K/n9/uUvf5kbbriBXC7HzMwMxWKR/v7+1Xx4bWslrzsk1dIPfOADx6xeb0Qred0feOABnvvc567mw1kTVuqaG2P427/9W2644Qa2b9+O53m87W1v45ZbblnthygtH+3u9NNP55ZbbsHzvPqxb33rW5x77rk8+uij7Nq1a9btd+7cyd69e+vv/93f/R1//dd/zcDAwKzbTU9Pc+jQoVmfPzg4SE9PDw8//PAKPZq1Y6WuO8DmzZv5zne+wx/+4R/Oun+xctddKcVnP/tZzjnnnPqxb37zmxQKBbZv375Cj2btWMnv9+z/386dhkS1/3EcfwtlY03GlWhfJsgkLGkZUltoJyrL0h4Uti9UFkUlSLRRpmYL2YIGNhFRz8rAICMq6UEhNSkWFpXtGbaZ5YyKmnMf9G+4/rtx+/9nzngnPy+YB545c+b3/XDQD3PO2K4dbdu2ZdOmTYwZM4Z79+6xfv1644bxI0bm3tTURFJSEitWrCA0NNS4IfyQkbnfu3ePiooKYmJiiIqKYsWKFZSVlRk3jJ8wKvPnz5/z5csXvnz5QlxcHJGRkSxfvpx27doRGBho7FD/RYXaj7hcLg4ePEhBQQFbtmzB6XQSFBTUbB+TyURNTY37527duv3tsZxOJwDt27f/4fXfn5NvvJk7gNlsxmw2G7be34W3c/+rq1evsnv3bnbs2PHDMVs7o3JPTU2lqKiIqVOnsnDhQqqrq72+dn/m7dyzs7Pp2LEjc+fONWzNvwNv5x4cHMzw4cM5deoUV65cwWKxsGTJEp3vf+HNzKuqqoBvhfvIkSNcv36d8PBwli1b5vPMVaj9hMPhYN26dVy4cIHTp08TFhZGUFAQdXV1zfarq6ujQ4cO/3i87ydvbW3t//X61sLbucuvMSp3l8tFVlYWSUlJpKWlMWvWLG8v3a8Zeb6bTCbat29PcnIyNTU1FBYWenPpfs3bud++fZvc3Fx2795t1JJ/C0ac7wcOHCA5OZmQkBDMZjObN2/G6XRit9uNGMHveDvz759Cr127lp49e2Iymdi4cSMOh4OioiJDZvgZFWo/8PLlS+Lj43E4HJw9e5awsDAABgwYwOPHj5vtW1ZW9kuX9zp16kTXrl2bXYp6//49VVVVP1x6aa2MyF3+mVG519bWsnr1as6dO8eZM2eYNm2a19fuz4zIva6ujilTpnD37l33tq9fv9LU1ESnTp28O4CfMiL3vLw8KisrmThxIlarlZ07d/LmzRusVquK3X8YkbvD4SAjI4Py8nL3tq9fv9LY2IjJZPLuAH7IiMz79etHmzZtqK+vd29zuVzuhy+pUP/Lff78mUWLFjFs2DBsNluzL/NMnjyZDx8+cPLkSRoaGigsLOTChQvEx8f/0rHj4uLIzs7m1atXOBwO0tLSGDFiBH369DFqHL9hZO7yc0bmvmHDBioqKjh37lyze6nFuNxNJhP9+/dn3759VFZW4nQ62bVrFxaLhSFDhhg5kl8wKveUlBSKi4ux2+3Y7XZ27NhBjx49sNvtWK1WI0fyC0blbjabuXnzJhkZGVRXV+N0OklJSaFXr16tPncjM4+JiSE9PZ3Xr19TX1/P/v37CQ4OJioqysiRftDGp+8m/7Pc3FzevHlDfn4+ly5davZccXExJ06cIDU1lcOHDxMSEsLWrVt/+SRas2YNjY2NJCQk4HQ6iYyMJDMz04gx/I6RucvPGZV7aWkpBQUFBAYGMn78+GbP5eTktPo/dkae7+np6ezZs4fp06cTEBBAdHQ0OTk5Pv/C0L+Rfs+0DCNzz8rKIj09nUmTJtHQ0EBkZCQ5OTm0bdvWiFH8hpGZp6SkcOTIERYuXMinT58YNGgQNpvN51cFAly+/kxcREREROQ3ols+REREREQ8oEItIiIiIuIBFWoREREREQ+oUIuIiIiIeECFWkRERETEAyrUIiIiIiIeUKEWEREREfGACrWIiIiIiAdUqEVEREREPKBCLSIiIiLiARVqEREREREPqFCLiLRyqampTJo0qdm26upqIiIiuHr1KkVFRSQkJBAREcG4cePYuXMnDofDvW9FRQVJSUmMHDmS8PBwxo4dy8GDB2lqagIgNzeXCRMmkJqaitVqZdWqVT6dT0TEaCrUIiKt3Jw5c3j16hV2u9297eLFi5jNZnr27MnixYsZNWoUeXl57N+/n9LSUpYuXYrL5QJg5cqVVFZWYrPZuHTpEsuXL+fYsWNcu3bNfbzy8nLevn3L+fPn2bRpk89nFBExkgq1iEgrFxYWRnh4OHl5ee5t58+fJzY2FpvNRnR0NImJiVgsFqxWKwcOHKCkpIRbt25RV1dHbGwsKSkpDBw4kN69e7NgwQK6dOnCw4cPm71PYmIivXv3JjQ01NcjiogYSoVaRESIj48nPz+f+vp6Xrx4QXFxMbNnz+b+/fvcuHGDoUOHuh8zZ84E4MmTJ5hMJubPn8+dO3dIS0tj5cqVjB07lnfv3rlv+fjOYrG0wGQiIsZr09ILEBGRljdjxgwyMjIoKCjg0aNHDB48mAEDBtDU1MSMGTP+9r7nkJAQamtrSUhIoLa2lqlTpxIbG8u2bdtISEj4YX+TyeSLUUREfE6FWkRECA4OZvLkyVy+fJlHjx4xb948AEJDQ3n8+DF9+/Z17/v06VP27t3Lxo0bef78OaWlpdy4cYPOnTsDUFVVxcePH933WIuI/O50y4eIiADfbvu4cuUKL168ICYmBoClS5fy4MEDtm/fTllZGSUlJSQlJfHs2TMsFgvdunUDIC8vj/Lycux2O4mJiTQ0NFBfX9+S44iI+Iw+oRYREQCio6P5448/GDZsGMHBwQAMGTKE48ePc+jQIeLi4ggKCiIqKork5GQCAwOJiIhg8+bNnDx5kszMTLp27cq0adPo3r07JSUlLTyRiIhvBLh0TU5ERICamhpGjx7N0aNHGTlyZEsvR0TEb+gTahGRVu7z588UFhaSn59Pjx49iI6ObukliYj4FRVqEZFWrrGxkS1bthASEkJmZiYBAQEtvSQREb+iWz5ERERERDyg//IhIiIiIuIBFWoREREREQ+oUIuIiIiIeECFWkRERETEAyrUIiIiIiIeUKEWEREREfGACrWIiIiIiAdUqEVEREREPKBCLSIiIiLigT8BaTd/vdq5PTgAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 800x550 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.lineplot(data=carsale[carsale.year >= 2010], y='price', x='year', hue='drive')\n",
    "plt.title(\"year - price lineplot (2010 - 2016)\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " - The above graphs shows the __Price__ distribution over the years (1953-2016). As the years increase, we cannot comment on the price increase, but in general, __there has been an increase in price in recent years.__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 166,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Anaconda\\lib\\site-packages\\scipy\\stats\\stats.py:1713: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.\n",
      "  return np.add.reduce(sorted[indexer] * weights, axis=axis) / sumval\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Text(0.5,1,'mileage - price line Plot')"
      ]
     },
     "execution_count": 166,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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o8+aNslqtat++g44cOayoqIfVrVvUTdvt37+vunTpZjdSPWBAP/35z/3l7++jd95ZpTp1wvT551vl4+Othx9+RAMHPimTyaScnBytWLFUn332idLT0xQRcbdGjx6n226rVYLvlD3mUAMAAEBZWVl6+unhuvPOOlq/fosWLnxTe/fu1tKliyVJ+/f/qMDAQG3c+KlmzpyrL77Yqn/96wtJ0urVK7V16yeaN2+RPvjgI/n7V9D+/T8Vuu1u3aL02WdbbM8PHTqoM2dO6/77O0uSDhz4j3x8fLR581bNmDFHa9e+q48//lCStGTJQn3zzXbNm7dQGzd+ooiIhnrmmad06dIlR701N0WgBgAAgL755mvl5OTor38dKS8vL4WEVNOQIcO1fv1aSZKXl5cGDHhCZrNZ9etHqG7dMJ08eUKS9PHHH6p//4EKDb1Tnp6eGjJkuIKCggrd9oMPdtepUyd16NB/JUmffvqROnR4QL6+vpKkSpUCNHx4jLy8vFSvXgP17Nlbn366RVarVRs3rtNf//qUatSoKS8vLw0a9Bfl5uZo586vHfwOFYwpH3CMnEzJw9fZvQAAAMV09uxppaamqGvXDrZtVqtVubk5SklJVmBgZduNhJLk7m6WxWKRJCUknLObE+3u7q6QkOqFbjsoKFitWrXWp59uUd264fr888/08suv2vZXr15dZvP/YmtISIj+9a8kpaamKCsrS5MmTZCb2//6lpOTozNnzhTtDTCAQA2HMOVkykqgBgDAZVWpEqKaNW/T6tUf2LZlZmYoOTlZP/6474bnhoRU09mz/wuwVqtVCQnnitR+9+49NXv2dLVo0Up+fv5q0qSpbV9SUqKsVqst0J8+fVohIdVUqVKAPD29NHt2nO6+u6Ht+BMnjis4uGqR2jeCKR8AAABQmzZtlZmZqdWr39bly5eVlpamKVNe0t/+9rzdyPT19OzZW++++45OnPhVOTk5Wr78TSUlJRax/XuVl2fR0qWvX3MjY1JSkt55Z7lyc3P13//+R5s3b1RUVC+5ubmpR4+eev31+UpIOCeLxaJPPvlI0dH9dOrUiSK/B8XFCDUAAADk5+evuXMXKi5ujlavflt5eRY1bdpMM2bM1p49u2547p/+9GedP5+k4cOfkJubu+6/v5OqVg2R2exR6PbNZrO6dOmqtWvf0/Tps+32BQcH6/Tp03rooS7y9fXTkCHDbTcsjhw5WsuWLdHIkUN04cIF1ahRUy+/PEPh4fWK/iYUk8lqtVpLrbVyLjExrVTaMZvdFBjop5SUDOXmWkqlTVNmkqy+waXSVnngjBrCsaih66OGro8alp4DB/6j6tWrq3LlKzciWq1W9ejxgP7+96lq0eL/Cn2dtWvf07fffqNZs16TdKWGX375mebNe03r1m0ukb7/UZUqFYp8DlM+AAAAYMi2bZ9qypS/KT09Xbm5uXrvvVWSpIiIRoU6//z5JP33v//R+++/q4cf7lOSXS0RBGo4Br/oAACg3BoyZJgqVw7So4/2Urdu92vHjq80a1acbdm7m/nmm681atRf1aJFS7Vt276Ee+t4TPkoRbf0lI+MRFn9qpRKW+UBv6Z0fdTQ9VFD10cNXZ8zasiUDwAAAKCUEagBAAAAAwjUAAAAgAEEagAAAMAAAjUAAABgAIEaAAAAMICPHgcAAIDN2bNn9c47b2nXrp1KSUmWh4en6teP0J//3L9In3pYnjBCDeNYyhwAgFvC0aPxGjToUV2+fFmxsa/ps8/+rTVrNqhLl656/vmx2rlzh7O7WCYxQg0AAFDC0i/l6nhyZqm2Wbuyr/y9ihb1Zs6cphYt/k8vvPCSbVvFipXUpUs3WSwW5eTkyGq1atWqFdq69RMlJJyTZNI997TRhAkvysvLW0ePHtGsWdN15Ei8/Pz8FBnZTM8+O16+vn4OfoVlB4EaAACgBKVfylXPN3Yr7VJuqbZbwcusTUNaFjpUJySc0/79P2nevEXX3d+1aw9J0hdfbNPate8qLu4N1ap1u3799biGD39S27Z9qh49emn27Blq3ryl4uKW6MKFC3r66WHatGmDHn30cYe9trKGQA0AAAAlJCRIkqpUqWrbtnfvbr344nhJUl6eRcHBwVq6dKUaNnxbVauGKCUlRampqapUqZISExMlSZ6eXvr22290xx2hat68hd56a7Xc3G7tWcYEagAAgBLk//tIcVmf8hEcHCxJSkpK1O233yFJat68pT799F+SpC1bNmvZsiWyWKxasmShduzYrsDAQIWFhSsnJ0cWi0WSNHnyK1q2bLGWLFmgv//9NzVs2FhjxkzQnXfWcewLLEMI1HAQbkwEAKAg/l5m3V29orO7cUPVqlVX/foNtHnzRjVt2rzA415/fb7OnTurdes2yc/PX5I0YEA/SZLFYtEvvxzSE0/8VTExY3Tu3FnNnz9H06b9Q2+++XapvA5nuLXH3wEAAFBozz//N3377TeaMWOqTpz4VVarVZmZGfr004+1dOliBQdXUXp6ujw9veTubtalS5f07rvv6OjRI8rNzZWbm5vmzp2pN95YqEuXLikgIFBeXp6qVCnA2S+tRJmsVtY8Ky2JiWml0o7Z7KbAQD+lpGQoN9dS8g1arTJlJsrqV/Xmx6JQSr2GcDhq6PqooeujhsWTlJSkVatWaOfOHUpOPi+TSapTJ0wPPNBFPXo8pMTEBL3yymT9/PNB+fj4qlGjJvLy8lJaWppefXWOfv31uGbPflU//3xQVqtFjRs31ZgxzykkpFqR++KMGlapUqHI5xCoSxGBGoXFNwHXRw1dHzV0fdTQ9blKoGbKBwAAAGAAgRoAAAAwgEANB2HmEAAAKJ8I1AAAAIABBGoAAADAAAI1AAAAYIBTA/WWLVvUoEEDRUZG2v6MGzdOkvTvf/9bUVFRatKkibp27aovv/zS7tw33nhD7dq1U5MmTRQdHa2jR4/a9mVmZur5559Xq1at1KxZM40fP14ZGRm2/ceOHdPAgQMVGRmptm3b6vXXX7e79s3aBgAAAPI5NVDv379fDz30kPbt22f7M3PmTB0/flyjRo3S008/rb1792rUqFEaPXq0zp07J0nasGGDVq5cqaVLl2rXrl2KiIhQTEyM8pfUnjJlis6cOaPPPvtMW7du1ZkzZxQbGytJysnJ0bBhw9SwYUPt2rVLS5Ys0apVq/TJJ59I0k3bRgFYzhwAAJRTTg/Ud9999zXbN2zYoObNm+uBBx6Q2WxWt27d1KJFC61Zs0aS9P777+uxxx5TWFiYvLy8NGbMGJ0+fVq7du1SVlaWNm/erJiYGAUEBCgoKEhjx47V+vXrlZWVpT179ighIUExMTHy9PRUgwYNFB0drVWrVhWqbQAAAOBqZmc1bLFYdODAAfn4+OjNN99UXl6e2rdvr7Fjxyo+Pl7h4eF2x9etW1eHDh2SJMXHx2vIkCG2fR4eHqpdu7YOHTqkgIAA5eTk2J1fp04dZWdn6/jx4zp8+LBCQ0Pl6elpd+0lS5bYrn2jtgsrISFBiYmJdtvMZl9VrVrynybo7u5m93eJs1plMrvJamZKvqOUeg3hcNTQ9VFD10cNS1deXp7OnTurGjVqOuyarlJDpwXq5ORkNWjQQF26dNFrr72mlJQUPffccxo3bpwuX74sHx8fu+O9vb2VmZkpScrIyChwf3p6uiTJ19fXti//2IyMjOue6+PjU6hrF8WaNWsUFxdnt23kyJGKiYkp0nWMqFjR5+YHOYLVKpl9pYp+pdNeOVJqNUSJoYaujxq6PmpYOB07dlRiYqLM5ivx0Gq1yt/fX1FRURo3bpzc3G4camNiYhQWFqZRo0YVq/3o6Gi1bNnyuueX9Ro6LVAHBwfbpllIV0LtuHHj9Kc//UmtWrVSdna23fHZ2dny8/OzHVvQ/vwgnZWVZTs+KytLkuTv7y9fX1/b83xXH3ujaxdFv3791LFjR7ttZrOvUlIyCjjDcdzd3VSxoo8uXsxSXl4pfO691SpTRqaseSX/2sqLUq8hHI4auj5q6PqoYdHk5Vk0fvwL6tGjp21bfPxhjRo1TCaTu4YMGX7D8xMSknTbbXcUO+vk5OQpK+uy3fnOqGFgYNEHCJ0WqA8dOqSPPvpIY8aMkclkkiRdvnxZbm5uatSokQ4ePGh3fHx8vG2+dVhYmA4fPqwOHTpIunKj4fHjxxUeHq7Q0FB5eHgoPj5ejRs3liQdOXLENi3k/PnzOn78uHJzc20/gcXHxyssLEySFB4ergMHDhTYdmFVrVr1mukdiYlpys0tvS/ovDxL6bRntcqUa5G1FF9beVFqNUSJoYaujxq6vrJQQ9Oli3JPiS/VNvMC68rqVbFI51gsVrv3qnbtOmrcOFIHDx5SVtYlrVixVJ999onS09MUEXG3Ro8ep9tuq6Xp06foxx/3af/+H3Xw4EE988w4PfJIT/Xr118ff7xJnTo9qDFjntPmzRu1Zs1qJSScU7Vq1fT444PUuXNXSVdGxP/Yvu21lIEa3ojTAnVAQIBWrVqlSpUqafDgwUpISNDMmTP18MMPq1evXlqxYoW2bNmizp07a+vWrdq9e7cmTpwoSerTp4/mz5+vdu3aKTQ0VHPmzFFwcLCaN28uDw8Pde3aVbGxsZo3b54kKTY2Vj169JC3t7datWqlwMBAzZo1S6NHj9axY8e0cuVKPfPMM5Kknj176q233iqwbQAAgKIwXbqoyivvkdulC6XarsWrkpKjdxY5VOfLzc3VTz/9oO++26snnxyqJUsW6rvvdmvevIUKCgrW6tVv65lnntI777yvCRMm6dSpk4qMbKYnn/yrzpw5LenKUsabN29Vdna2tmzZrLi4OZo2LVZNmjTVDz98rxdeGCsvL2+1b9/BkS+91DktUFerVk2LFy/W7NmztWjRInl5eal79+4aN26cvLy8tGDBAsXGxmrixImqWbOm5s+fr9DQUElS3759lZaWppEjRyo5OVkNGzbU4sWL5eHhIUl66aWXNGPGDEVFRSknJ0f333+/Jk2adOUFm81atmyZJk+erDZt2sjX11fR0dHq3bu3pCs3MN6obQAAgFvVrFnT9dprs2zPq1Spqkcf7a8+ffqpc+d2evnlV203HQ4a9Bdt2rRBO3d+rfvuu/+61+vatbs8PDzk4eGhjz/epIce6q1mzVpIkpo1a6GHHuqtDz9cT6A2omXLlnrvvfeuu+/ee+/Vvffee919JpNJTzzxhJ544onr7vf399eUKVM0ZcqU6+6/4447tHTp0gL7daO2AQAAisLqVVHJ0TtdYsrHmDET1K1b1DXbU1KSlZWVpUmTJsjNzWTbnpOTozNnzhR4veDgKrbHycnnr1kBpHr1mvr666+K1MeyyKmBGrcKPtQFAIAbsXpVVG61ps7uRrFVqhQgT08vzZ4dp7vvbmjbfuLEcQUHF7wkcP59cpJUvXoN/fbbb3b7f/vtlIKCgh3f4VJWthf1AwAAgNO5ubmpR4+eev31+UpIOCeLxaJPPvlI0dH9dOrUCUmSp6eXMjLSC7xGjx699OGH6/Xdd3uUl5en77/fq02bNqh7954FnuMqGKEGAADATY0cOVrLli3RyJFDdOHCBdWoUVMvvzxD4eH1JEkPPthds2a9okOHDmrSpMnXnN+x4wPKzEzXnDkzde7cGVWpUlUjRsTowQe7l/ZLcTiT1Wrl9/WlJDExrVTaMZvdFBjop5SUjFJaNs8iU0aCrP7VSr6tcqLUawiHo4aujxq6Pmro+pxRwypVKhT5HKZ8AAAAAAYQqOEg/KIDAACUTwRqAAAAwAACNQAAAGAAgRoAAAAwgEANAAAAGECgBgAAAAwgUMNBWOUDAACUTwRqAAAAwAACNQAAAGCA2dkdAAAAgPP17Rul5OTzcnd3lyRZrVbddtvt6tPnT4qK6iVJ6tTpXsXGvqbGjSNLrB9Lly7Wvn3fKS5uSYm14WgEagAAAEiSxo59Xt26RUmScnJy9M032zVt2j904UKqHn98kLZt2+7kHpZNBGoAAIASlp6TrpMZv5Zqm7X87pC/h3+xz/fw8FD79h114cIFzZ0bq4cf7qsuXe7Ta6+9rqZNmyszM0Ovvx6nr7/+SpcvX1azZs319NNjVblykKQrI81CXv8bAAAgAElEQVQff7xJWVlZqlnzNg0a9KTatm0vSfr550OKi5ujw4d/UUBAgB5+uK/+9KfHZDKZHPLaSxuBGo7BIh8AAFxXek66Hvuyj9Jz00q1XX9zBa3u8IGhUC1JrVvfq1dfnar9+3+y2z5t2mRlZmZo6dKV8vLy1vz5c/TCC+O0aNFS7dv3nTZt2qClS99RUFCQPvxwvaZPn6KNG9soNTVFTz89TEOGjNCcOQt08uQJPf/8GHl5eatXrz6G+uos3JQIAACAAgUEBEiSLl68YNuWkpKsf/3rC40ePVaBgZXl6+urp58eo4MHD+jnnw/J09NTaWkXtWnTev3yy8+KiuqlzZu3yWw267PPtuiOO0LVp8+fZDabFRp6p/7852itX/++s16iYYxQAwAAlCB/D3+t7vCBy035yJeSkixJCgwMtG07c+a0JGno0EF2x7q7m3XmzG/q0OEBvfzyq1q37j2tXv22vL291bfvoxow4AmdOXNGP/98UA8+eJ/tPIvFKjc31x3nJVADAACUMH8Pf9UPiHB2N4plx46v5OPjq4iIhrZtVauGSJJWrVqnoKBg2/Zjx46qRo2aOnv2rCpXrqzZs+OUk5OjvXt3aeLE8QoPr6eqVauqadMWmj17vu28CxdSlZmZWXovysFc90cBAAAAlJjLly/riy+26vXXF2jo0BHy9fWz7QsOrqLWrdtq3rxZunAhVbm5uVqxYqmGDBmg9PQ0HTp0QGPGjNLhw7/Iw8NDgYFXblSsVClAnTt31YEDP2nr1k+Um5urpKQkjR//jObPn+Osl2oYI9QAAACQJMXGvqI5c16VJHl5een222tr3LgXdP/9na459sUXJ+v11+dr8OD+yshIV2hoHc2aFaegoGDdd9/9OnnyhCZMeFYXLqQqMDBIMTHPKiLibknSrFnztWjRfM2ZM1Pu7u5q3bqtnn56TKm+VkcyWa1W1mcoJYmJpXN3r9nspsBAP6WkZCg311LyDVotMqWflbVCjZJvq5wo9RrC4aih66OGro8auj5n1LBKlQpFPocpHwAAAIABBGoYxy85AABAOUagBgAAAAwgUAMAAAAGEKgBAAAAAwjUAAAAgAEEagAAAMAAAjUchJU+AABA+USgBgAAAAwgUAMAAAAGEKgBAAAAAwjUAAAAgAEEagAAAMAAAjUcwmRllQ8AAFA+EagBAAAAAwjUAAAAgAEEagAAAMAAAjUAAABgAIEaDsJNiQAAoHwiUAMAAAAGEKgBAAAAAwjUAAAAgAEEagAAAMAAAjUAAABgAIEaAAAAMIBADQAAABhAoIYDsAY1AAAovwjUAAAAgAEEagAAAMAAAjUAAABgAIEaAAAAMIBADQAAABhAoIZjWFnpAwAAlE8EagAAAMAAAjUAAABgAIEaAAAAMKBMBOq8vDxFR0drwoQJtm3//ve/FRUVpSZNmqhr16768ssv7c5544031K5dOzVp0kTR0dE6evSobV9mZqaef/55tWrVSs2aNdP48eOVkZFh23/s2DENHDhQkZGRatu2rV5//XW7a9+sbQAAACBfmQjUcXFx2rt3r+358ePHNWrUKD399NPau3evRo0apdGjR+vcuXOSpA0bNmjlypVaunSpdu3apYiICMXExMj6+41xU6ZM0ZkzZ/TZZ59p69atOnPmjGJjYyVJOTk5GjZsmBo2bKhdu3ZpyZIlWrVqlT755JNCtQ0AAABczemBeufOndq6das6d+5s27ZhwwY1b95cDzzwgMxms7p166YWLVpozZo1kqT3339fjz32mMLCwuTl5aUxY8bo9OnT2rVrl7KysrR582bFxMQoICBAQUFBGjt2rNavX6+srCzt2bNHCQkJiomJkaenpxo0aKDo6GitWrWqUG2jIKzyAQAAyienBurz589r4sSJmjVrlnx8fGzb4+PjFR4ebnds3bp1dejQoevu9/DwUO3atXXo0CH9+uuvysnJsdtfp04dZWdn6/jx4zp8+LBCQ0Pl6elZqGv/cT8AAABwNbOzGrZYLBo3bpwGDx6sevXq2e3LyMiwC9iS5O3trczMzJvuT09PlyT5+vra9uUfm5GRcd1zfXx8CnXtokhISFBiYqLdNrPZV1WrVi3SdYrD3d3N7u8SZ3GTyewmN7PTf+Fxyyj1GsLhqKHro4aujxq6PlepodMC9eLFi+Xp6ano6Ohr9vn4+Cg7O9tuW3Z2tvz8/G66Pz9IZ2Vl2Y7PysqSJPn7+8vX19f2PN/Vx96s7cJas2aN4uLi7LaNHDlSMTExRbqOERUr+tz8IEfIy5VMvlJg0d4j3Fyp1RAlhhq6Pmro+qih6yvrNXRaoP7www+VkJCg5s2bS5ItxH7++efq37+/Dhw4YHd8fHy87r77bklSWFiYDh8+rA4dOki6cqPh8ePHFR4ertDQUHl4eCg+Pl6NGzeWJB05csQ2LeT8+fM6fvy4cnNzZTabbdcOCwuTJIWHh9+w7cLq16+fOnbsaLfNbPZVSkpGAWc4jru7mypW9NHFi1nKy7OUeHuy5MqUlimrqeRfW3lR6jWEw1FD10cNXR81dH3OqGFgMQYInRaoP/30U7vn+UvmTZ8+XUeOHNFbb72lLVu2qHPnztq6dat2796tiRMnSpL69Omj+fPnq127dgoNDdWcOXMUHBys5s2by8PDQ127dlVsbKzmzZsnSYqNjVWPHj3k7e2tVq1aKTAwULNmzdLo0aN17NgxrVy5Us8884wkqWfPnjdsu7CqVq16zfSOxMQ05eaW3hd0Xp6ldNqzWOSWmydLKb628qLUaogSQw1dHzV0fdTQ9ZX1GjotUN9InTp1tGDBAsXGxmrixImqWbOm5s+fr9DQUElS3759lZaWppEjRyo5OVkNGzbU4sWL5eHhIUl66aWXNGPGDEVFRSknJ0f333+/Jk2aJEkym81atmyZJk+erDZt2sjX11fR0dHq3bt3odoGAAAArmay5i/ejBKXmJhWKu2YzW4KDPRTSkpGKY1Q58ot7ZQslWqXfFvlRKnXEA5HDV0fNXR91ND1OaOGVapUKPI5ZfuWSQAAAKCMI1ADAAAABhCoAQAAAAMI1AAAAIABBGoAAADAAAI1jGOhGAAAUI4RqAEAAAADCNQAAACAAQRqAAAAwAACNQAAAGAAgRoAAAAwgEANx2ChDwAAUE4RqAEAAAADCNQAAACAAQRqAAAAwAACNQAAAGAAgRoAAAAwgEANAAAAGECghoOwbh4AACifCNQAAACAAQRqAAAAwAACNQAAAGAAgRoOwhxqAABQPhGoAQAAAAMI1AAAAIABBGoAAADAAAI1AAAAYACBGgAAADCAQA0AAAAYQKAGAAAADCBQwwFYgxoAAJRfBGoAAADAAAI1AAAAYACBGgAAADCAQA0AAAAYQKAGAAAADCBQwzFY6AMAAJRTBGoAAADAAAI1AAAAYACBGgAAADCAQA0AAAAYQKAGAAAADCBQAwAAAAYQqOEYVtbNAwAA5ROBGgAAADCAQA0AAAAYQKAGAAAADCBQwyFMfPY4AAAopwjUAAAAgAEEagAAAMAAAjUAAABgAIEaAAAAMIBADQAAABhAoAYAAAAMIFADAAAABhCo4QCsQQ0AAMovAjUAAABgAIEaAAAAMIBADQAAABhAoAYAAAAMcGqg3rlzpx555BE1bdpUbdq00ZQpU5SdnS1J+vHHH/XII48oMjJSHTt21Nq1a+3O3bBhgzp16qQmTZqod+/e2rdvn21fXl6eZsyYodatWysyMlLDhw9XQkKCbf/58+c1YsQINW/eXK1atdLUqVOVm5tr23+ztgEAAIB8TgvUycnJ+utf/6o///nP2rt3rzZs2KDdu3dryZIlunDhgoYOHapevXppz549mjp1ql555RX99NNPkqRdu3ZpypQpmj59uvbs2aOePXtq+PDhysrKkiQtWrRIO3bs0AcffKDt27fL29tbL774oq3t0aNHy9fXV9u3b9e6deu0c+dOLV++XJJu2jYKwkofAACgfHJaoK5cubK++eYb9e7dWyaTSampqbp06ZIqV66srVu3KiAgQP3795fZbNY999yjqKgorVq1SpK0du1ade/eXc2aNZOHh4cGDRqkwMBAbdmyxbZ/yJAhql69uvz9/TVx4kR99dVXOnnypH799Vft3r1b48aNk4+Pj2rVqqURI0bYrn2ztgEAAICrOXXKh7+/vySpffv2ioqKUpUqVdS7d28dPnxY4eHhdsfWrVtXhw4dkiTFx8cXuD8tLU1nz5612x8cHKxKlSrp559/1uHDhxUQEKCQkBDb/jp16uj06dO6ePHiTdsGAAAArmZ2dgekK6PCFy5c0NixYxUTE6OQkBD5+PjYHePt7a3MzExJUkZGRoH7MzIyJEm+vr7X7M/f98dz85/nn3+jtgsrISFBiYmJdtvMZl9VrVq1SNcpDnd3N7u/S56bTO5uMpm5x9VRSr+GcDRq6Pqooeujhq7PVWpYJgK1t7e3vL29NW7cOD3yyCOKjo5WWlqa3THZ2dny8/OTdCUA59+8ePX+wMBAWxjOn0/9x/OtVus1+/Kf+/n5ycfH54ZtF9aaNWsUFxdnt23kyJGKiYkp0nWMqFjR5+YHOUKuWbL6SIFFe49wc6VWQ5QYauj6qKHro4aur6zX0GmB+vvvv9cLL7ygTZs2ydPTU5J0+fJleXh4qG7dutqxY4fd8fHx8QoLC5MkhYWF6fDhw9fsb9eunSpVqqSQkBC7aSGJiYlKTU1VeHi4LBaLUlNTlZSUpODgYEnSkSNHVK1aNVWoUEHh4eE3bLuw+vXrp44dO9ptM5t9lZKSUaTrFIe7u5sqVvTRxYtZysuzlHh7yr0k08UsWT1K/rWVF6VeQzgcNXR91ND1UUPX54waBhZjgNBpgfquu+5Sdna2Zs2apTFjxigxMVEzZsxQ37591aVLF82aNUvLly9X//799d1332nz5s1auHChJKlv374aOXKkunbtqmbNmmnVqlU6f/68OnXqJEnq3bu3Fi1apIYNGyowMFDTpk1Ty5Ytdfvtt0uSmjVrpmnTpmny5MlKSUnRwoUL1bdvX0lSp06dNHPmzALbLqyqVateM70jMTFNubml9wWdl2cpnfbyLHLPsyivFF9beVFqNUSJoYaujxq6Pmro+sp6DU1Wq9Vp653Fx8dr2rRp2r9/vypUqKCoqCiNHDlSnp6e2r9/v6ZOnapffvlFlStX1ogRI9S7d2/buR9++KEWLVqkc+fOqW7dunrxxRfVuHFjSVJOTo7mzZunTZs2KSMjQ61atdKUKVMUFBQkSUpKStLkyZO1a9cuubm5qVevXho7dqzc3d0l6aZtF1diYtrND3IAs9lNgYF+SknJKKVAfUnuF04or3LRRvFRsFKvIRyOGro+auj6qKHrc0YNq1SpUORzDAXqPXv26MiRI+rRo4fOnj2rO+64Qx4eHsW93C3v1g7UvyqvcvjNj0Wh8E3A9VFD10cNXR81dH2uEqiLNeUjPT1df/nLX/TDDz/IZDKpTZs2io2N1fHjx7V8+XJVq1atOJcFAAAAXE6x1iCZPXu2JGnbtm3y9vaWJI0fP16+vr569dVXHdc7AAAAoIwrVqD+8ssvNX78eNWqVcu27c4779RLL72knTt3OqxzAAAAQFlXrECdnJysKlWqXLPd39//mjWeUU44795WAAAApypWoG7YsKG2bNlyzfa3335bDRo0MNwpAAAAwFUU66bEZ599VoMHD9a+ffuUm5urRYsWKT4+Xv/973+1dOlSR/cRZZzfrlh5/vqlLkS9LYt/DWd3BwAAoFQVa4S6adOmWrNmjSpWrKg77rhDP/zwg6pXr65Vq1apVatWju4jyjKrRb77FsmcfEj+/5rg7N4AAACUumJ/UmK1atU0YsQI1a5dW5K0ZcsW2ycRohy5au60+4XjzusHAACAkxRrhPqnn35Sly5dtGbNGtu2mTNnKioqSr/88ovDOgcAAACUdcUK1K+++qo6d+6sZ555xrZt27ZtateunaZPn+6wzgEAAABlXbEC9YEDBzR06FB5enratpnNZg0dOlQ//PCDwzoHAAAAlHXFCtT+/v46ceLENdvPnj1r++RElBesPw0AAMq3YgXqLl266O9//7u++eYbpaenKyMjQ99++60mT56sTp06ObqPAAAAQJlVrFU+xowZo5MnT+qJJ56QyWSybe/UqZPGjx/vsM7BBfAJiQAAoJwrVqD28fHR4sWLdezYMf3888/y8PBQnTp1bEvoAQAAAOVFsdehlqTQ0FCFhoY6qi8AAACAyyl0oK5fv76+/vprBQUFqV69enZTPf7o4MGDDukcXAFTPgAAQPlW6EA9bdo0VahQQZL0yiuvlFiHAAAAAFdS6ED98MMP2x7/5z//0cCBA/mocQAAAJR7xVo2b+PGjXJzK9apuOUw5QMAAJRvxUrF9913n9555x2lp6c7uj8AAACASynWKh+nT5/Wxx9/rBUrVigoKEheXl52+7/44guHdA4ugHWoAQBAOVesQN2mTRu1adPG0X0BAAAAXE6xAvVTTz3l6H4AAAAALqnYH+zyww8/aOXKlfrll1/k7u6uiIgIDRo0SGFhYY7sH8o8pnwAAG5hOZlX/vbwdW4/UKYV66bEf/7zn3rsscf022+/qXXr1mrRooV++eUX9e7dW3v37nV0HwEAAIAyq1gj1HPmzNGTTz6pMWPG2G2fMWOGZs6cqTVr1jikc3ABDFADAIByrlgj1CdOnFCfPn2u2d6vXz8dOnTIcKcAAAAAV1GsQB0REaGdO3des/0///mP6tSpY7hTAAAAgKso1pSPnj17aubMmTp27Jhatmwps9ms/fv3a8WKFerXr582btxoO7ZXr14O6yzKIuZ8AACA8s1ktRb9kznq1atXuIubTDp48GCRO3WrSkxMK5V2zGY3BQb6KSUlQ7m5lpJtLCdTVZaES5JyA+5USv+vSra9cqJUa4gSQQ1dHzV0fQ6pIat8OJUzvg6rVKlQ5HOKNULNPGnY8EmJAACgnCvWHGoAAAAAVxCoAQAAAAMI1DDExE2JAACgnCNQAwAAAAYQqGEQI9QAAKB8I1ADAAAABhCoAQAAAAMI1DCGdagBAEA5R6AGAAAADCBQw3EYrQYAAOUQgRoGEaIBAED5RqCG45hMzu4BAABAqSNQwximeQAAgHKOQA0AAAAYQKAGAAAADCBQwyCmfAAAgPKNQA0AAAAYQKAGAAAADCBQAwAAAAYQqAEAAAADCNQwhnWoAQBAOUegBgAAAAwgUMMgRqgBAED5RqAGAAAADCBQAwAAAAYQqGEMNyUCAIByjkANAAAAGECghkFXjVAzWg0AAMohAjUAAABggFMD9aFDhzR48GC1bNlSbdq00fjx45WcnCxJ+vHHH/XII48oMjJSHTt21Nq1a+3O3bBhgzp16qQmTZqod+/e2rdvn21fXl6eZsyYodatWysyMlLDhw9XQkKCbf/58+c1YsQINW/eXK1atdLUqVOVm5tr23+ztlEAk8nZPQAAACh1TgvU2dnZ+stf/qLIyEh9/fXX+uijj5SamqoXXnhBFy5c0NChQ9WrVy/t2bNHU6dO1SuvvKKffvpJkrRr1y5NmTJF06dP1549e9SzZ08NHz5cWVlZkqRFixZpx44d+uCDD7R9+3Z5e3vrxRdftLU9evRo+fr6avv27Vq3bp127typ5cuXS9JN28YfMM0DAACUc04L1KdPn1a9evU0cuRIeXp6KjAwUP369dOePXu0detWBQQEqH///jKbzbrnnnsUFRWlVatWSZLWrl2r7t27q1mzZvLw8NCgQYMUGBioLVu22PYPGTJE1atXl7+/vyZOnKivvvpKJ0+e1K+//qrdu3dr3Lhx8vHxUa1atTRixAjbtW/WNgAAAHA1s7MavvPOO/Xmm2/abfvss88UERGhw4cPKzw83G5f3bp1tW7dOklSfHy8+vTpc83+Q4cOKS0tTWfPnrU7Pzg4WJUqVdLPP/8sSQoICFBISIhtf506dXT69GldvHjxpm0XVkJCghITE+22mc2+qlq1apGuUxzu7m52f5ckk/l/bZgkmc1My3eE0qwhSgY1dH3U0PU5pIbW38/l+5tTuMrXodMC9dWsVqvmzp2rL7/8Uu+8847efvtt+fj42B3j7e2tzMxMSVJGRkaB+zMyMiRJvr6+1+zP3/fHc/Of559/o7YLa82aNYqLi7PbNnLkSMXExBTpOkZUrOhz84OMMv+vDXc3kwID/Uq+zXKkVGqIEkUNXR81dH2Ganj59789+f7mTGX969DpgTo9PV3PP/+8Dhw4oHfeeUd33XWXfHx8lJaWZndcdna2/Pyu/GP28fFRdnb2NfsDAwNtYTh/PvUfz7dardfsy3/u5+d307YLq1+/furYsaPdNrPZVykpGUW6TnG4u7upYkUfXbyYpbw8S4m2ZcrIVMDvj/MsVl0shddXHpRmDVEyqKHro4auzyE1zPl9QM3Dcf1C4Tnj67A4g4NODdQnTpzQkCFDVKNGDa1bt06VK1eWJIWHh2vHjh12x8bHxyssLEySFBYWpsOHD1+zv127dqpUqZJCQkIUHx9vm7qRmJio1NRUhYeHy2KxKDU1VUlJSQoODpYkHTlyRNWqVVOFChVu2nZhVa1a9ZrpHYmJacrNLb3/KeflWUq8PbfcPNtjq1Sqr688KI0aomRRQ9dHDV2foRrmn2fi34AzlfWvQ6dNSLlw4YIGDhyopk2baunSpbYwLUmdOnVSUlKSli9frpycHH377bfavHmzbd503759tXnzZn377bfKycnR8uXLdf78eXXq1EmS1Lt3by1atEgnT55Uenq6pk2bppYtW+r2229X7dq11axZM02bNk3p6ek6efKkFi5cqL59+xaqbQAAAOBqJqvVOeuevfXWW5o+fbp8fHxk+sP6xfv27dP+/fs1depU/fLLL6pcubJGjBih3r1724758MMPtWjRIp07d05169bViy++qMaNG0uScnJyNG/ePG3atEkZGRlq1aqVpkyZoqCgIElSUlKSJk+erF27dsnNzU29evXS2LFj5e7uLkk3bbu4EhPTbn6QA5jNbgoM9FNKSkbJj1BnnFXQ8uaSpNyAO5XS/6sSba+8KM0aomRQQ9dHDV2fQ2pom/Lhe+PjUCKc8XVYpUqFIp/jtEBdHt2SgTr9jIJWtJBEoHYkvpG7Pmro+qih6yNQuz5XCdRlew0SAAAAoIwjUMMgfsEBALh1eZz8Sp6//tPZ3UAZ5/Rl8wAAAMoitwvHVemTITLJqvPB22UJCHV2l1BGMUINAABwHebE/8j0+29i3dN+c3JvUJYRqGEMMz4AALco9wvHbY9NuUX7xGSULwRqAACA63C/cMz22JTDJwGjYARqGMQQNQDg1mQ3Qp3DCDUKRqAGAAC4DvspH1nO6wjKPAI1AADAH+Vkyj3jnO0pI9S4EQI1jOGDNgEAtyD3i7/aPSdQ40YI1AAAAH9w9XQPSRKrfOAGCNQw6KoRakarAQC3CPfUY3bPGaHGjRCogVsFP9AAgMP8cYSamxJxIwRqOI7J5OwelGumy2lS3mVndwMAbgnXBGrWocYNEKhhEKOiZQv1AABHuDZQM+UDBSNQA7cKq8XZPQCAW0NultzTT9ttIlDjRgjUcBzm8AIAbgHuF0/aHuf5VpXEHGrcGIEaxhCiAQC3mKune+QF3SWJEWrcGIEajsNNiQCAW0D+knlWk5tyA8MlSSbWocYNEKhhECPUZQe1AABHyB+htlS4TVavipIYocaNEaghSbJwQxsAAJL+F6jzKtWW1ewr6fc51HyvRAEI1FCuJVcZuenO7gYAAGWCXaD28PnfjhxuTMT1EaghSbIW9+ZCbkosW6gHABiTd0lu6b9deVgp1DZCLTGPGgUzO7sDcD6rrLIQxFwfNQQAw9wvnpLp96kdeZVqS7nZtn2mnEzuVsF1MUINSZJVxZsXZuJ/LQCAW4j7hWO2x3+c8sEINQpCoMaV6R6MbgIAYJs/bZVJeRVr2U/5YKUPFIBADUmShZHmWwA1BACj8keoLf41JLO3rB5XB2puSsT1EajLqbSci3bPrYQxAADsVviQJKuZKR+4OQJ1OXU57/JVz0rvpsTM3IxSaQcAgOJwTz0uScoLCJWkP4xQ8z0M10egLqfyrHl/2FI6y+ZdyrtUvHYAAChpeTlySzt15eH1RqiZQ40CEKjLqavXnbbKwDrURW63VJopnywWMY8aAIrPPe2kTL8POOUHapm9bftNucyhxvURqMspyx+WySutOdTM1QYAlFX586elqwK1yc02Ss0INQpCoC6nLFbLDZ8XXlEDMoEaAFA2uV0dqCveYXtMoMbNEKjLKavVapvmYf39PwAAyjPbCh9+1aSrPtDFdmMiq3ygAATqcsoiyx9C9B8CdWF/Cr96UnQhJkgT3EsS7y0AGGEL1L+v8JEv/8NdGKFGQQjU5ZTV+r9AbbVeu2ye6XLJLA1EoAYAlFV/XIM6X/7Hj3NTIgpCoC6nbh5sixF8TaZi9QUA8P/snXecXHW5/99n6s5s77spmx5ISCEkEFBKAgKCKIhoVOQq1ivcq3DhXuWHitJRFEGKFVEEQZpUKZKEQIAUElJJ2bTtZXZ3dvrMKd/fH1N2ZmdmS7KbLfm+efHKmVO+58ycnTOf85zP8zySEcfQMHvqgAyCOuGhlnWoJZmRgvoYRRdGwqKRKUINA01SHJzwPlrl+Y5NDOn6kEgkksPE5G1EMTQgk6CWlg9J30hBfQwhhGBH1za6I9290hAFaUpsuISvFNQSiUQiGYWklszr5aG2yiofkr6RgvoY4vXGf/Hf732Hr6z+fIqHOkovD/XhCN8BJSVKJBKJRDL6MGcpmQdJlg/poZZkQQrqY4gHP7oXAL/mS7F4GBnL5g1Q+sqIs0QikUjGAYmERGcF2HJTlsXL5skItZMPUzMAACAASURBVCQbUlAfQyhJp1sgerUf7yWMjcNo9CKTEkcWeXMjkUgkh01PhY9pacsSHmpZh1qSBSmojyGUJMErhEE8Ci0QGGlabKDibJBJidL0IZFIJJJRiLn7AJCekAgkmrzICLUkG1JQH0Mkx49T3NMZI5vDI3yloJZIJBLJqMPQMXdHS+YZGQR1T4Q6COIwnuBKxj1SUB9DJFs+DKH3kraHWzYveQjZKVEikUgkYw+TrxnFiACZI9QiqQ05qkxMlKQjBfUxhElJ9VB7VA+aoWW+2x6wH1fWoR41JNl4JBKJRDJwUip8FE1NWx6PUIP0UUsyIwX1MUSyh7ol0MxXVl/Gd9ZeiXFEgjplB0dwdBKJRCKRjAypNainpi2Pl80D6aOWZEYK6mMIJclF/fTBJ1ENlQPefbQEW9MFdNLriB4hooczDzpY4S0DqBKJRCIZZcQTEg1HGcKWn7Y82fIhI9SSTEhBfQyRLKg1oSUt6Tsp0cCIWkOGBKmoJRKJRDK66CmZNzXjcmHtqUstI9SSTEhBfQyRbPkwhJ60IFOyYFKNaiEwhkgIh40skW6JRCKRSEaIfgV1iuVDJiVK0pGC+hgiOUKd2tQlVWwDKY1dhDAy+6wHye93PcB31l7JOy1vHfFYEolEIpEMCcIYnKCWlg9JBqSgPoZIiVD3KouXHH/ujnQPy/6f2P8YutD5yaYbhmV8CbJbokQikQwSk78FJZYnlN3ykVTlQ/UfjcOSjDGkoD4GiPufTSl1qHuEl27oqf5qQ0NJEtwGInsheyngRgVK2EPRC1+m4NVvyXMikUgkg6C/Ch8gq3xI+kcK6mMAr7ce6G35SBLMQic1CTH1NWmvJKMN56b7sbj3Ya9fg6Xlg5E+HIlEIhkz9CuorU5wlCReKpr0UEvSkYL6GEDEHmVls3z09kcLw0jxUBvCkB0ORzlKqKtnWguN4JFIJBLJ2MLsjpXMyylG5BRlXkkxJaLUMkItyYQU1McCMctHtqREXWgpLgHRs1LsXyNrlQ9FCu3RgbR5SCQSyWHRX0JinLiPWgpqSSakoD4GEHFBrSR7qHtHqJMEdgbLh2QMITtWSiQSyYAZuKCO1aKWVT4kGZCC+hjAECoAJjJbPjShp4gwYYiUiKeBiNpAMpIc2pYiXCKRSCRjCCEGLqil5UPSB1JQHwMIPT1CLURvj3TS+sQj1qlzJRKJRCIZT5gCbYkkwwFbPmRSoiQDUlAfAwihgxApHurksnm9kxJ7+6WjKYkDENTSaiCRSCSSMURqhY9pfa4rLHEPtaxDLUlnVAjqzs5Ozj33XNatW5eYt2XLFj7/+c+zaNEizj77bJ566qmUbZ577jnOPfdcTjzxRC699FI2b96cWKbrOnfddRcf+9jHWLRoEd/97ndpa2tLLO/o6OCqq65iyZIlLF26lNtuuw1N0wa877GGiJXFS9a7qZYPDSVNYPfYPoTRuw1MyuBDfrwSiUQikRwN4hU+APSifgS1TEqU9MGIC+oPPviAFStWUFdXl5jX3d3Nt7/9bS655BI2bNjAbbfdxh133MHWrVsBWLduHbfccgt33nknGzZs4DOf+Qzf/e53CQajj2Eeeugh1q5dyzPPPMPbb79NTk4OP/rRjxLjX3PNNTidTt5++22efvpp3nvvPR555JEB7XssItBBGChkSUrs3TVRGCMmlIUU6BKJRCI5SsQj1Ia9EGHPUjIvhhTUkr4YUUH93HPPcf3113PttdemzH/99dcpKiri8ssvx2KxcNppp/HpT3+axx57DICnnnqKT33qUyxevBir1crXvvY1iouLeeWVVxLLv/Wtb1FdXU1eXh433ngja9asob6+nkOHDrF+/Xr+93//F4fDweTJk7nqqqsSY/e377GGO+yOJhQKgSk58TC5kYuhp7wWCf90LEKNEfNV98MQiOHuiPuIx5BIJBKJZCCYkhMS+7EtJpISpYdakoERFdSnn346b7zxBhdeeGHK/L179zJ79uyUeTNnzmTXrl0A1NbWZl3u9XppaWlJWV5WVkZhYSG7d+9m7969FBUVUVlZmVg+Y8YMmpqa8Hg8/e57rKGKCJBaFg9SkxJ1kdp6XBcGvS8r2SPHQxtRNmSEWiKRSCRHiYFW+ICesnkyQi3JhGUkd15eXp5xvt/vx+FwpMzLyckhEAj0u9zvjyYLOJ3OtOXxZb23jb+Ob9/XvgdKW1sb7e3tKfMsFicVFRWDGudwMJtNPf8qAhNgMfeKSicnIpoEJrOCxRLdzmQGs0kBiwlMJkwWMBs9yzPtC6KdGDOtk4ls65ktAx9jPJNyDgeAydRzC2Q2Kwj5GY44gz2HktGHPIdjnz7PoRBYPAejk8XT+v3tUewxQa0F5O/UUWSsfA9HVFBnw+Fw4PV6U+aFQiFyc3MTy0OhUNry4uLihBiO+6l7by+ESFsWf52bm9vvvgfKk08+yf33358y7+qrr+Z73/veoMY5EgoKHORiRfVZKC5ypvwxJovrHIeF/IIciouj7zFPt1Ng1qDICWYrIasTXegU52f4DAL2xKTZbEqM0R/Z1tMCAYqdg/usxzMFBY7+VwKw9XyV8/MdMMDzIBl+BnwOJaMWeQ7HPhnPoa8dIj4AHBOOx9HfdTO/EACTFhzwb51k6Bjt38NRKahnz57N2rVrU+bV1tYya9YsAGbNmsXevXvTlp955pkUFhZSWVmZYgtpb2/H7XYze/ZsDMPA7XbjcrkoKysDYN++fVRVVZGfn9/vvgfKihUrOPvss1PmWSxOurqGv9yO2WyioMCBxxOky+1D+EN0dfkw9MwRao8/gNcWpMvkRzM0NtVvYYKlCsXpB7MVtz+AITRyQy6wpP5Bmz0hCmLTum7gGeD7y/Y5dAX9WMLOjMuOJZLPoa737193hlXitzZebwjtKPydSfpmsOdQMvqQ53Ds09c5NDdtT/x+eazV6P1cN+2aFSeAGqCr0wvK6I6YjhdG4nt4ODdMo1JQn3vuufziF7/gkUce4fLLL+eDDz7gxRdf5MEHHwTgsssu4+qrr+aCCy5g8eLFPPbYY3R0dHDuuecCcOmll/LQQw8xf/58iouLuf322znllFOoqakBYPHixdx+++3cfPPNdHV18eCDD3LZZZcNaN8DpaKiIs3e0d7uRdOO3kVZ1w3CagSzbqCpWorbWRM9ZQI1TUPTDDTN4K4tt/Na4ytsLTmFH5SfCMKMpusYhoYe9CMc9l476Xk/QogBv79s62m6flQ/o9GOrhsD+jySvecD3UZydJDnY+wjz+HYJ9M5NHf2lMyL5E1B9HOOLeacxLQW9INNRqmPJqP9ezgqBXVxcTEPP/wwt912G/fddx8lJSX86Ec/4tRTTwXgtNNO46abbuKnP/0pra2tzJw5kz/84Q8UFUVL3lx99dVomsbll1+O3+9n6dKl/PrXv06Mf99993HzzTdzzjnnYDKZuOSSS7jqqqsGtO+xhiZ0TIAijJTEw2R09MT0a43RSimvda7nBylrCTB00hnaJMLsLc4lEolEIhk6EiXzrHkIR2m/68cbu0DURy2koJYkMWoE9e7du1Nez58/nyeeeCLr+hdffDEXX3xxxmVWq5Xrr7+e66+/PuPysrIy7rvvvqxj97fvsYQutKhf2tCyC+peZfPSEVHdrPQjnoegU6Ks8SGRSCSSo4F5ECXzoKcONUQrfcjfK0ky0gA0ztGFHv3SC0G1szrLOtmiwkm1qYUBmdaTZe4kEolEMgYZTMk8SI9QSyTJSEE9ztGNuKFDx5TldBui7wh1z7LhF899R8olEolEIhkChEi0HTcGKqh7RaglkmSkoB73iGgU2dCzNk1JTlBMxrn+nugIIj7O4P3NXtUzqPWPhqA2DuN9SCQSiWT8oIS6MEWiv09a0bQBbZMqqGW3REkqUlCPc3QRaxouDIws7cMNYWR0buRuSqqjLbIJ6r4FcEgP9bk8fbThF9Tjvr35EHjZJRKJZDxj7u6p8HFYEWpp+ZD0QgrqcY7AQCAQhpG1fbhhZI5Q94whEBiH5fgwBlm1I3uL86Fj/Nu+paCWSCSSvoj7p+EwPdTS8iHphRTU45i4ODUQKMJAZIlQa3qk/7EQIDKVzeubbHaS7Ds6Gj5tafmQSCSSY5m4oBYWB4azou+VY6RaPmTzLEkqUlCPY0T8PyEQQsPIEmLW6Vv0BjQ/vogP5TBC1IMV1DIpUSKRSCTDzWBL5gFg6WnsomjSQy1JZdTUoZYMPQKBCRNCGNGyd1nEqmFo1PkOUevdk7YsoPn5n3X/hW5oPLn4HvIHeQxGxmYwfR3z8JPNSz6mkfchEolEMmAGWzIPAMWEsDhQtKC0fEjSkIJ6HCMMPWr7UKIJhdncFJqhc9e2WzIuW928Er8WfbT1UssqvlR+Yq+d9K3kste4znLMR6PKxzjsxng4Tw8kEonkWCVeMk8fYIWPOMKaKwW1JCPS8jGOUbxNsfw0BdFHrWndULOOcaQC1xD6oBINh1tQf+TeyXfWfo3f7XpgWPcjkUgkktGJEurCFI5WexpUhJokH7Ws8iHphRTU45lIvAa0QDG0rGJV7UNQp5Jp+6R5GYSz1k/TmLTRhjkp8YcbrsWjenhy/2PDuh+JRCKRjE7M3YcS04MW1BYHIKt8SNKRgnocI8I+hGHEakiLrPaMsBEe0HiHYyswDqMyyHDiVb0jfQgSiUQiGUEOp2RenHiEWiYlSnojBfW4RodY9Fn0IWwjRvayeb0jxmG9D/GdIVNaIPCG1axdGgEiSWMK2cVQIpFIJMNIomSe2Y6RWzWobeO1qGXZPElvpKAexwjFhhLxAtGyedktH/3XoYaouHaF2nvP7HebiKb3uZpX9aVtI5FIJBLJcJBaMm9wMigRoZaWD0kvpKAexxgKmLQQnrAChpFVUNf6DvYxSs82OgaBDIkYbWYz3abMdTwFAt3o20WtJ9WqlnWohwL5GUokEkk24m3HB2v3ACmoJdmRZfPGMapQeeNQO09vmslF01XExMxCy6P14StOKjGnGXqaJaM10sUXJ0/AIQSvu9PtGmIAErl3RFogUGT77MNnkBF+Q0RvtsyKeZgOSCKRSEYPh1WDOkYiKVF6qA8bn+rjxbrnWFByIicUzx/pwxkyZIR6HPNg/bO8GnwEW+VLvLg/e1Ji3/R4r1WhY+r1eOzx1jfQFQWfycT71vSto10ajT73rSftQzD2o9RCCBr9DWPCuqIaKt94+wquWP0FgrIMlEQiGecoYQ+mYAcAeuHgalBDtA41yAj14eJTffzv+u/zh90P8ZMPfogxjvKmpKAex7zU/i4AtpL3Y3MOQ+AZImnSSGvUYkuKaoYyBJUFAkP0LZGFYSTE51gX0wB/3/8oV7z1Be7fec9R3Gvf5QuzsbZ1DYd8B2gJNvP8oWeH4bgkEolk9GD2HH7JPEiu8iEF9WDxq35+uOFadnd/BEBXpIsD3v0jfFRDhxTUxxCHU0EjuTqIAml3kzalJywdziKoddF3oqFOL3/3GIjs9sUfd/8WgOcOPT1CRzDwzy+5wstAyydKJBLJWMXsPpiYPhxBjUV6qA+HoBbgho3XsdO9I2X+9q4tI3REQ48U1McIZmctJIljp8k+oO2SLxqC1ARCAJvSY8PvHaGO2j2iEeq+yuaNBWvE2EJ+nhKJRJKJRMk8kw0jr3rQ2wtrkod6HNkVhpOgFuSGjdezvWsrABdMuohJzskAbOvcOpKHNqRIQT1O0YxU4euc8sdEtHmas4ZfTPn6gMYRSV0U4/7m5Ci13dQjqMO9hJyBgaIoUVHdh8gziHZTjOhhdnRty1hJZLiIlhUc+/iFzooJlXy/oizazEcikUgkaZgSCYlTwDT4ROxE63EAVSYm9kdID3HjB//L1s4PATh/4oVcN/+HzC9ZCMC2ri3jJqgmBfU4JaxleHyf9EdrMZn4xrQr+hxDAFpKI5fo9gE1kGjGYk+yfITSdhdd3+ijSyMQ9WULwQM77+XeHXdzx9Zb+jyuIUXtfdRjk7/qTey021mZ62RnsG6kD0cikUhGJZYjKJkHPY1dQPqo+yOih/nxBz/gw45NAHxiwnlcv+AGTIopIajbQ220hlpG8jCHDCmoxynBDCV94pFlRVEQKJxWfFKfY+iAnuSxjSckqkJNTFuTItShXn9NhtATlo/eyYzJCBGNX79Y/08A3m9b2+dx9Yuh43z/5+Rse2QgKx/ZvoaCIYhydIieJwlBfWCNeiQSieRYw3QEJfMgNUItfdTZiegRfrLpBj5wbQBgefU5/GDBjxLlWecXL0ysu61zfPiopaAepwQyfNFDsbtpJVZ1w5qlGUscA9D1dEEdFcpxIdoTee4d69UMDVPM8tGXr7cvf/XhYN/9NLkf3Ef+mh9h7qrtZ+2Rf9Q01LYTZRS8J4lEIhl1RPyYA23AkQjq3MS0jFBnRjVUfrr5Rta3RyuMnVm1jBsW3oQ5KQA3wTmRYlsJANvHiY9aCupxSkhLtzIEYy2+FUBBId+1p88xdEVBT/JQG7GEREMYCU90cuS5d1KiZqiYFDNaUlm8TIgBtX8ZONbWDxPTJl9T9v0KgTIK/MZKL7/7ETNO/GgSiUQylBxpyTzoaewCMkKdCc3QuHnzjxNPmj9eeQY/OvFmLKbUPoKKoqT4qMcDUlCPUzIl9vn1WIQaBaEozFr1wz7HMCBFUOtEvc660DFiCY7JQjlMajKkaqiYFBNGdMsUIkne7Lg15Ggzampey0xxiUQiGXbiLcdhqCwfMikxGc3QuPXDn7C2dQ0Ap1Z8nJ8sujVNTMeZX7wAgIO+A3RHuo/acQ4XUlCPU4IZbATtRlxQgzD0tOW90ZXUMnmaoSEUBT1JAAuSI9SC7og78VoVWswvJdB7RYIfrX0k6ZXCsFkv+izXZ4wOMSv6PxeDQRlM1/ZRck8hkUgkw01PyTwrRv7EwxojRVBLy0cC3dC4Y8vPWNOyGoBTyk/lp4tuw2rK0EI5RjxCDbCja9twH+KwIwX1OEQ1VJ5efUPW5SYtxGlv3dTvOAYKWrLlA4NQREcXOqqhoRtaSjm8oBL9UiXWj4lV3Uj3UP+r4aWkV0Os6gaoKAWMDkE9gJubQSEtHxKJRJKG2R2r8FEwGbJETfsjpcqHtHwAoAudu7beyqrmNwFYXHYyPzvpDmxmW5/bzcificMc/TzHQ4MXKajHIRva1vG6kf3xic3XhCWDx7o3OqQI6qiQNtANDVfAj0f1poi3EKAlRVt1otNR60iqaFRThLrAq6ZG1LvDQ/X4p69kSKPP5UeNkRT1g4lmSyQSyRjGfIQVPqC35cN/hEc09jGEwd1b7+DfTa8DcGLpSdyy+C7s5v6bx5lNFuYWnwDA1nFQ6UMK6nGIpY9HLAAMMAnOUCDcq2yeEAqa0InoBpqhpkSow0pPVLrOd5DfffQA+z21CMPA6GX5SBbUCJHm+Q5ovgEd45EhGBVl84Y6KXE03CRIJBLJKGMoBDWWnMSkkqE87bGEIQx+te0uXmt8BYAFJSdy2+JfkGPO6WfLHuLl8/Z07yKsZ+ifMYaQgnocMiVvSp/LBxqU1FFSLBxBdy3377qNh/f8DlWPoBpqSjJhKCnN78GPfsO7bW9zz45fACKpzF4U1Yj0+TqSLLiHCQMBxsiLT2WoRf1g3tLIv32JRCIZftQAZn+0gcjargL++5lt3LN6Hy2eQTb3UkyJSh/HsuVDCMG92+/mlYYXAZhXvIDbl/wCR1IVlIEQ91FrQmNX984hP86jiRTU45ByR0WfywcqqA2FlPoc64WHtnAL69rfwxPxsKVzM4+51iSWhxQwxaLU69vfS8xvDdantR7Xk6whApF2Z6oPcaJeJsRosXwMtYd6NLwniUQiGQUYQvDBoU4e/3dPw7DH9tl4/2AXj3/QyGf/tIFbX9tDfdfAo83xWtTHqqAWQnDfzl8lmrHNLTqBO5b8Eqclt58t0zm+cG6i2ctYb/ByeK58yajGpJiYHwqzLSezh2mgjT/uKCnGmkXs/Xbv7fh0L0G954ISUqLiuNazl9kFx7HHsxuAPe73mFvUd0Z1KO1Rz5GIwoEmJfbdEv2oMeQ3D4N4T9JDLZFIxhmqbrChzs3qWhdr9nXQ4Vc5z/QhxHLk6qhkdnkutS4/miF4fnsLL+5o4ROzy7lyaQ0zy/sWhsLqhCBwDFb5EELwwEf38vyhZwA4rnAOd558D7nWwYtpAIfFwayC49jVvZPtXWO7wYsU1OOUe9pc3FVazBu5zrRlA9VQq3OdnENmsdceaU2bFyaqT/2qn1xrXmJ+a7gJf9idtn4yvS0fQ9Y9sY9xovsYeQ+1MtRl8waz8ii4n5BIJJIjxR/RePdAF6v3ulh7oBN/JPW6OsMc/c0yMPO7b32aojwndV1B/rq+npd3tqIZgtd3t/P67nbOmF7C10+tYV51QcZ9HauWDyEEv9v1AM8e/AcAswqO4+en3ENe0u/94TC/ZCG7uneyo2sbutATEeuxhhTU45RKXecSry+joB4M2iAqUIQVCOthFCCS1LK8Q23nn01PZ9xGCEFToBGrkppIqYqhTtTLuPfREaEegm6NqU1qRsF7kkgkkmGmMxBhTW0Hq2s7WF/XhaqnXvvy7GbOnFHKpxdN4syPXoKdIAomUZQX/V2sKXbwo/Nn883Tavjbxgb+ua2FsGbw9v5O3t7fyZKaIr6+dDJLJhehJJVjjVf6OJaSEoUQ/GnP7/jHgccBmJE/i5+f8mvyrZlvOgbD/OIFPHXg7/g1Pwe8+5hZMPuIxxwJpKAex1iGQFcZeqT/lWLoisJ/vfct/ueEHxA2eiwcnWoHHW5X2vqaofFG46v8Ytvt6WP1qnzRFGjkkT1/oMo5gUumXEaJvST7gWQI0brDXRTZi1PmGWK0COqj0HpciMz1uaXlQyKRjCEa3EHequ1gda2LLY2etPBBeZ6Ns2aUsmxmGYsnF5Jjt1BcnIu6rg4AvWhq2phVBTlcf/ZMvn5qDX//oJGnPmzCH9HZWOdmY52bedX5XLm0hjOml6AoSqIW9bFUNu8ve//E4/v+CsC0vOncvfReCm2FQzL2vFjHRIBtnVuloJaMPkwDiFR+v9PNvSVFXEQxbyg+wiK1uobRvR+cA8/ajRgRXm54IcXC0aX6cSjpY/hUL/ds/0XGcdQkQe5Xfdyw4Trq/dEL4tMHnuSV899ECIEhdMx9FOiP+8UzleNxbLyXwv1v0P3pRzEK+66MMlzY9r1M/pvX4j/1h4QWfH3Y9qMEXIjc8vQFo+B+QiKRSLIhhGBPu5+3al2sru1gb3u6iJ1S7GDZrDKWzSxlblU+pgzBA1Os7XhfJfNKnDauPmMa/3HyZJ76sIm/b2rEHVTZ3uzlun/uYGZZLlcuncznjjHLx6N7/8xfax8GYEreVO5eeh+FtqIhG7/IXkxN7hTq/IfY3rWFz069bMjGPppIQT2OyaaVIkkXm290ezgnEGCKWsfamomEzanepbWDENOJ/Qojpc60UCL4VQe9XB20BFrQRObyeJrQUXUVT8SNT/cnxDRASI8+ZjOEjlf1UWTv/4vd26MNkLPlD1gMg4J/fw/3554fyFujK9RJcU4f0fFBUvjqdwDIf/snQyeoM0SoFUOV2lkikYwJdEOwpamb1Xs7eKvWRZMnPSAytyqfZTNLWT6zjKml/Vgb1RAmb1N07MJp/e4/P8fC10+t4UuLJ/Lc1mYe29hAmy9CrcvPjS/votIZ4hMAx4Cgfrz2r/x57x8AmJxbwy+X/obivp4QHybzShZQ5z/E1s4tCCFSLDZjBSmoxzEiyx9kQOmplqgA09So5SBniOwPuZZcWoItqTOVdEHbGmzKOoZuaAQ1P65IR0YxHIxEsFpMGFmSJnsTyTBG3Lls7qod0BgAIWOQNUtHgN4lCqMzj4YnXSKRSA6PsGaw/lBXrDJHJ+5garDFrMBJk4tYNrOMs2aWUpnffye+BO5DiaeVg2nq4rCa+fLiSVy2cAIv72zlL+vraewO4YpYwAL1bR28sqmRS+ZXkWMdm4l0yQgh6Ip00RRopCnQwI6u7bxY9xwAE52T+OXS31BiLx2Wfc8vXsgr9S/SEXbREmym2jlhWPYznEhBPQ4xuaOPtrLJ41AWoe0YoiYnrlArrnB76kxzeoShM9yZdYyAFkA1NEyYMophV9BPVX5e/9VAYsu1TIIy/jEMog70qO3klPQxGJkSSbMJ6gx/CiFVHxc/DhKJZHTjDWmsPdDJ6loX7x7oJKimXrvsFhOnTS1m+awyPj6thEJHP12As9GxLzE5kAh1b2wWE59dUM2n51Xx793tWNfkgQY2I8QvV+3j4ffr+NLiiXz+xAnk2Ue3rNKFTnuwLSGaGwONNPkbY68bU0rhxql2TuBXS++nLCeDbXCIiDd4gWg9aimoJaMCS+P7QPZ8MzXLAscgKnr0xT7fgbR5ipI+tlvNXkrv1i038bOT7qDCUZnSjTFOW7A1KqgziuH0NxgRmSLU0fUGU7YuYkRG/eOo3l0pozOzvMcM9yP+iCYFtUQiGRbafWHW7Otg9d4ONta70XoFcgpzLJwxo5RlM0tZOqV4aK5FnfsBEIoJvWDSYQ9jMSl8ck4FDvdU2AT55ujvSldQ5cF3DvLXDfV84cQJfPGkiRQ7bUd+3IdJRA/THGyOCeWYaI793xJoQhtgFa0cs4MTiudx3fwf9tsw7kipdkyg1F5GR9jFtq4tnDfpgmHd33AgBfV4xBS9i18SDFGpabRaUk+zOswR6oFS76vrc/mf9/yeHyz4Mbu7d6Ut80S81PkOccC7j3Mc52UXuDEhaQiRJswTr3oJUG/EQ74tcykgzVARCJRRVh4j+WgyWT6UAVg+4u9pFHRjl0gk44hDnYFEZY5tzd605ZX5dpbNjFbmOHFSIRbTEF9fY4LayJsI5kFYRbKgxJqYFJoj3H/ZfB5ZV8fG+m58YZ2H19VHOzAueDOCBgAAIABJREFUqObyJZMGZ00ZBD7VlxDJTYGGlChze6itVynV7BTaipjgnMgE50QmOiclpifkTqLYVnzUgkeKojCveAFvtawcsw1epKAehwhT9I7eBrzY0MwOu40rqysTy7MK6qNcQm51y5t9Lo8nNv5x90NpyzrDndzyzvcByLPmcWrFxzMPEhPLQhgYvZq4JN5tTGwawqAr3ElIC6YI6o5QB6U5Ud+YgRGNACf50EcbGSPURubkz5Tt4h7Dke91I5GMeZSID2vDO9jq14CiEDruMrTKRSN9WEcFIQQftfp4q9bFqtoODnSk2wimlzoTlTmOr8gbXuEWE9SD8U/3hbDGqnxoQZbWFLJ0ykK2Nnn487o63tnfSUgz+PumaPm9i06o5D9Onszk4sEl+Cf8zP6GFOEcjzZ3R/pulhZHQaE8pyJJKE9kQpJwPtKmLEPJ/JKFvNWykkO+g3RH3ENaSeRoIAX1eCSpjJxDCJaEwjzR2MIXJ1YBqVU+kukrKXFeOMwV3V5+UFGWdZ25qmCndeguihEjktVn3R7q6dT4zMGnWFx2CtZYZF5PtjfEI9QYaRFqI3aoSiKKbeCJeNISHSOxEn6aIfCHI+jCYLQZIpLfWfKNg2ZoWEyWAUWoE2MJY9TbWiSSUYcQmDv3YKtbhe3QSqzNG1CSbmQd2/6CWrGQ4LyvEp71abAMvoLSaEYzBJsb3KzeG41Et/lSbXYKMK+6gOWzSjlrZhk1gxSYR8SQC+qkqiJqEGy5LJhQwD2fnUf4zZ+Rt/cZ/h2Zx+Pa2fxzm8EL21s497hyvra0hpllPS26437mxkCSaPY3Jl7HK1r1h0WxUOWckBRpjonm3IlUO6qxDUFU/mgwP6ke9faurXy88swRPJrBIwX1eKRX285WUcQevQKIVqjIbvnIHJpcEArzWHNUwP6gr90aEWDovrjtoTZu2vTDjMu0pB8q3VBxh7sSHq+gFiRxzx0T0dGa1Vki1MQ7Owo8anfKxUcIkej6qBuCsKYP+FHaSJF8fJ3hDioclVkTL5PXjVs+ROx/Kaclkn6I+LE1vBMT0asw+xrTVjFyilG0MIoWwNq2BevK/8FYezOhuV8keMIVI1YDfygIqTrvH4xW5nhnfyfdodQbd4tJYUlNEctnlnLmjFLK8kZA2OkR6K6PTg6VoLb0CGpFCyBsUZGshLqYuPtPKMLgMvMaLjOvYbuYxMOmpfy7YTorW/1MLvdTXuzDo7XQEmwelJ85YcnITRLNzomUOyrGbLvuZKYXzMRpcRLQAmzrlIJaMhpIsiP8Wf8kt6lf5kbT/UBL9m3IbvnIG2BrbH0YJFi2i42RVG1DNTQiRgTVULEoFrSkCLWSsHyINCHcbTIxMRaNDulBdEMnYkSwm3N69iN01Fit7Ki41jNX0RgKDB1MR35RNJLOl6pHYpH5/gV1fDrRQFIqaokkFSEwd+3FdmgVtrpVWJvWpUSh46gVC4nULCcy5Wy0ioUoqh/77qdxbP8rlq5aTGE3zs2/xbH5d0SmLCc076tEpiwf1VayON1BlXf2RytzvHewi7CWej10Ws18bFoxy2aW8fHpJSNe9cLkqUtY//SiwVf4yERyhFpRA3hjfub22mdwFeRRb7VQb7VRZzHRZlYQygZgAzlAO9DuyTxuoa0oJpR7Isxx0Xw0/cwjhVkxc0LRfDa41rGta8tIH86gkYJ6PJJ0p2rGQMOCbqSXGwrM+yq2xvewdO0B4IseH08W5KetlztAb7U2wO/6glCYrTlHFqnQkupB60JHFzptwRZK7eUgNLbabey2WTnHiCSsHr2F8P9UlPNcYzM5QuDX/DT469nSsZnJeTUcV3g83UGVbZ53ebPpDa6d939YRC66EKmWkqFEj4Ap9TGoZmgYIho9DmvGgDLek8seRQwVw9BQspzCTBVURCKBc3xfvCWSARH2Yd3/Ojn7V2KrW4XZ25C2imEvIlJzFpEpy4lMXoZwplrjhL2A0IKvE5p/JdaGtTi2P4LtwOsowsB+aCX2QyvRC6YQnHcFoTkrEDnFR+vdDYgWT4g1+zpYVdvB5no3eq/LRrHDypkzo5U5Tq4pxm4ZPTcGJvfBxPThRqijfubOROJfc8d7tJeX0mCxcGjdt+jWfD0rl2T3/SpCUKnrlKkm/JEJHAzPoSx3Bp+bO48LZ80lzzZ6/MwjxbySBWxwrWNP9y5CeoicpADXaEcK6nGISIpyxtuPayK9hE/4uEsROcVYNkYF9UxV5UFjItMa1/O9ynL22qLbHEmE+rL2KTTn7kp0XJweUZmsaWw9QmuIbvR4ywxhoAsNXTfoNnVjGBEunxD1i7vdm5nYWsmd2+/ii9O/kjJGo9XCmTUTWRiOcGXEy02bbiCkhxJjLsg/m5s2/T8geue8wPKfbGoRnFqlwmGWQ+0LRQslkl3ieCIechQHJqwEB1gfOrnmdlgP884BF1MjBlMqQ2BJvThls6+MblOLRDKMCIHZvQ/boVXY61ZC0zry9PSym2r5gqiAnnI2WsWJA3u6pCiok09HnXw6Jm8TOTv+hmPn45iCLsyeQ+S9eyu579+FVnIcetlctPj/pXMROUcvQUsIwYHOQMIP/VGrL22dCYU5icocCyYUYB7qyhxDhDkmqAUKekFN1vWiQZnWpATARhqTEgLT/Mx5MS+0lvrZWIRggimX6rKFCU/zJE1nRsN6pta+hiMSr3LSQFhs4lXPKfy9IcI/N5r42tIazpldPmo/y6PB/OJoPWpd6Oxy7+TE0pNG+IgGjhTU45Gkx4amWIKaITIoQGGg9UqvO+PQewDkJtVOyx2goM4UoS4UQYJJ29uEwDnA8frC5e95ZiYQ6LpGh3sP7/l28YL+UWLZs663aehYBcBDu+5LGydkMrHOkcP5/oMJMQ3wi223c+fCOYnXq5vf5IWPPgHA/MouLlswDBEkXyPY81OSSjURwVByQIAROycRzcDWRwRITRLUG+tC3PvvvQCsrXZhK06twZoctVdQ0IWOXw1giLETFZBIjhg1gK3x3aiV49BKzN76tFUMeyGRyWcRmXI2kZqzEM4ja3Jh5E8gcOr/ETj5Guz7XsGx/S+JREaraztW1/aU9fW8CWhlJ8QE9hy0shOi/ushsokYQrCj2cvqWherazuo60pPiJtVnsvymWUsm1XKzLLcMWFBMHXHGp3lVRNRFJq8B1JEc7zk3GD8zA6TnZqgl8maRsWUC6mqOoUaTxtz1t5GpabjvfhJ1Em9Kk/N+jK+0wOotS/i2PEY1tZN2BWNi83vcrH5XfZ5qnni1eV8a+15XHLKPC6YW4HVPHoi/UeL44vmxqybGts6t0hBLRlhkgSZOeadtYgMX0wBXt1MYYYhkkV0SVIdtacbmrlsUnXG3WaKUAtTgJwkcW5G9Gkk+HggmIhm98WG4NuJaUMY7Hbv4Jc7705bz9BCYO3/z/zVhpdTXpsUE62BnkoiyZHc9Qc9XLYgZfVE4qJfTTXHuYLtCL2A8oEk44S9oKsp5081VDQ0LFgT9aFd/jATCnt/Rj3nKNmS8saOnpuED1v3cUovQd3bQ+1XfXRE2pkiRtcjZ4lkSBECs3t/T0WOpnUoGbqgahXzsRx3Pp6qMwiXLUz5bg4ZZhvh2ZcQnn0JZtdO7AffwOLaidm1E3P3wUTLbLOvCbOvCfvBNxKbGtZc9NLjo0K7dC5a2Ry00jmQXIWiD1Td4IN6N6trO3irtgOXPzUSb1Jg4cRCls0s5ayZpUxMu+6MLsJ6mLZgK22hVtqCrbQGW3B3r6epqoL6HDttr5094KTyoqT6zMl+5onOiZSEvJT9LSqYu5csI1JzHnmrf4hD0zHshajVp2Qe1OokPGcF4TkrMLt24tj5OPbdz2KKeJhhauZG0+NEgk/y+qqTuW3t+cw5+ZNcvGDCMdVoK8ecw+zC49jp3jHmfNRSUI9HkjzUpphH1kJ6VFgIgcdWlXEIPUn1lus9Au04NXs9Yz2DUv5MaA935faIs2aLhbnhnov2Zx3LeS64KvH6odZ27i0u5E9FmWR+ZvZ592YU0wBNAxDTAOs7Nqa8dpgduMIdqSuZAthK38LDEuDEWOUQ6I504o64KbGXsMezJ2WTXR1NVNmdmQV1b/9yxEcw1InDOjExSzN09JALJWdS4mfAH9HxRXwpfjtFVyF2z6QnJSAmB5D8qj/DISQJagG7Wtu5f2U7F88vYMVJE9PWz4SmG1gyRFKUiA8hPYGS0YIajEah61ZGK3J40htLRaPQZ0YTCmuWYS6sorg4F73LD9rwF2jXy+YSKJvbMyPix9K5C4trZ/T/jp1YXB+haNE8CZPqx9TyAdaWDxKbCBT0omlopXNjtpET0MrmYORWg6IQiOi8d7CTVXtdrD3QiS+cmhNiMyucMqWYZTNLOWNGKSUj2PEvmXhd5rZgS1Qsx0RzXDi3hVpwZ6rNrACOHHonZifqM+dmaGrinESuNTd9rDhJQSZFDYAwsB2I3uhEapaDuX9PoF42F9+Zt+I77Ubs+14mZ8dj2Fo2YFN0LjK/z0X6+xx897c8u+4TWBZ8iQtPnjfiCZ5Hi3nFC9np3sGOru3ohoaF0fE32B/Hxtk5xjDyeiLIW0U0q9nS6668rfoTmAyNkLWU7fOvwR4+QI0awX7gXwAEkh4jViQJ6p3GFLI5bLWk2PPP21xYhWCGqjEvHOE9RzSy0Wk2p2x91sF/8Fxlz6NThVS7yWRVZ2H15bzkemJgb36IMAvY7fkgZV5O9TNYC3awT2xCiEvxRkK0+btQTV2EIgp2cyhNtDb7ushXNCKais0IgyUHJdSJcFag66mPFzVVpdXTwNT8ZCEr0ILtREzVdAVUyvJsqL4u3A5Bni0PJdiJcJREG7fETplhGPiCQfIcDkwKnKjU8jnzGmyeM9LepyC5IojBr1a2sc8Fd6/aN2BB3RlQqejdDUwYEPaAFNSSEcTs3o/tUDSZ0Nr4fsYotFo2L+qFrlmOVnXS8EShDxdbLlrVYrSqxT3zhIG5+yDmFJG9E7OvCQAFgcW9H4t7P+x7KbFZyFLIPtM01gcnsF2voV7UEBaTAAu5NjOnTy9h2cwyTptWTK7t6H8G8ehyVBy3pk23hdpQjXQve184FQvV4SATNI3q8kVUTPlkQjRXOSZgMx+eUEut8uHH0rYFc+yJZmTa+YMbzOogfPxlhI+/DHPHbuw7H8e68ylsmoeppla+Lx5D/fAJVn24hLYZK1h65sUU5Y6NutKHy/yShfzjwOME9QD7vPuYWzqn/41GAaPoyiEZKoyiqXDBzwke2MDjH54DRKt9JLNzznXMMdxETDmEy5bQZp3MpPoNieWBpKSIMi0qqE8M/Q43+eRrPwNLur8uOUJ9vj8Q13dc6fbwh1jE+YRwmKokgV6qp1fMcCb5eqs1Fdem/ZA9l2RY8Oh+1rtfT5lnLdgBgK548UY8dASC1PnqKXfaaGxppD2/nBean0rZ5pmGh/hU+QoK80/GEWik2l6KEvKgOytwdblJfj5w/wYXS5YYTE2aJwRooW6uemUrDe4gf/7SIuz+erzFhaCrKCF3j6CO0WEEaW1txFEzg12tPvbYf4ICdO3ajvqxr6f4Ho2kCLVhwD5XXOQLHO/ejm51EDn52j4/q0imyJ2ho+ihsZ3cqAYpeP1qjLwqfGfelhrul4xOtCC2xveiIvrQKsyeQ2mrGLaCaBR6ynLUmmUYuZUZBhrFKCb0ounoRdOJzLyoZ3aoKyawP8Li2oFo3Y7NvRdzzBeco3VzAh9ygvlD4qkzGhb8+dOxVs/DKJ+H5pyLps9FUDKkh2wIA3eki9Zga68IcwttgVh0Wc1SSy4LJiEo1w2qNY1qTaNK02PTsX91jXyjx2LoO3kFwSmDFLvZSEruVrQgtgPR3wphshKZsuywh9VLjyNwxs/gtBuw7XsFbdNfKO38AKuicx7rYP866vfdyabKzzD1zG9QUjn5SN/JqGReSoOXLVJQS0aYpd/BW3o6+ocHgZ7kxDiaxYmmd6KbHeToPgI5dhStx28bzBChdhMtqec/9F2sJe/gdJ+ANu3PifVub+/gqqoKjgtHSDYA5AvB8w1N/LWwgC94vExVNd52OKjUNBaG0yMOxUmP0/ZbrXxcG3iXv6PFL7fcziUTv8qa1tdZ0/4vamyTUTpzORTYlbJeW6SePzfezcmTHiHkb2aCKZewqtHk8hBu3kSTxczf8/O5yOfn276beG7vAk6cfiaFlmhGf0AL4O/2U9cVjaQ88M4BvjR5D8/t2sDXpn+VExUnqr8t6r2OfepPBD4it+Ndnm/eh33mrVwTKENTFOxC44a6tyDpgp8SoU5q/nK+aSN5mx8EoGvymWhVi4noEbpVN+U5FSnvMZLktw9rIcwmCxaho2jp0cC+CKrR/TsG6Bd0h90U2Yev8oF9/8vYD0Z/KIMLv4leND1leW33HvZ69nLepE8e9aYKSsAVtdNYZPKoyX0AW90q7IdWYm18L7MXunRuNJlwynLUqsWjKwo9RBj2InbaF7LaP4nVjYvY0+7HgsYMpYm5yiHmmOpYZGtgrnKQXL0bAAsahd494N0De55NjKXnVkX/3s02hMkCJgtCsUQrmZgs0XlKbL7JTAiFVkWlWURoFSFajTAtIkiL5qNV99FqBFEHeXvtNAwmJAnlCZpOVVww6xrlmt5vsSVhsmHkFGKaeBLqlOWD/Uizo5gQFgeKFkRRA9hjglqd+DGELb307KCx5BA57lI47lI6u2rxrvszJfufI194mKy0Mbntj2hPPczO/I+Ru+RrFMw5d0h6GIwWCm2FTMmbxiHfAbZ1buULfHGkD2lAjL+riiRBcpJg7wj1da+1cM7kHC493opFA8VsIzT9QnL2/hOAC/x+/hiLKhf2qsphRCoIt1xKGEHypeMf3d/E5K/mAvEmmFObyExXNX7q6mkj/rfmVrJxZqAn+j0/HOY8sZvnk5YX6jrd5pG9eLztepuNTZ0EbdGodV2kHvp4GvnI7gf40L2JFaWX8vq2xRzwfMiNC1q5dmI1AZOJR4oKYmu207npZq45/Vc0+Zq45r2ryTFyQLkehIX1dW725Pwd3exlc+dm1iz5LQ1Nb8ci1D2PAf/U+lsMtRCTVWdlbs/jyU+v/BbzrtybeJ3soY7oGpgCKKYIc+mJ7JndB2gtnIJbdQMiXVCrPULcp/qwmq0UKNZoXe0jxL73BWwH38D/sR+lRRK7wp1HJKgPdgb410dtfG5BdbplBbC2bEpMmzx1aYL6J5tuoCXYjFft5gvTv3zYx3E4KKofk68ZvXzesRc514JYG99PJBRaug+mrWLY8lEnn0Gk5mwiU5Zh5EafBQkh2OhaR64ljzlFJ4yJKhV9oRuCbU0eVtW6eKu2g8buUMpyDQumirlUzTyThbNKmVLiJACEAq2JxMe4bcTs3p9ohGX2t2D2R6/hBtBhNtFssdBsNtNisUSnLWaaLRZaLGa6Bnk9NglBha5njCxXxQRzviHAbMewFyLspYicAoS9IPraVoBqLyBsL0DYCmPzCxC2fIS9EMMWXRdLDhaLieLiXBhiH7yw5qJoQcwdu7B07gYgPO28IRs/jl48E+cnbyOk/4TGzf9EfPhX5oS3YFEMFvjegdXv0PF2BYE5X8S5+IoUy+dYZn7xgqig7tqSsV/CaEQK6nGMofSc3r1iInAg8bo7rPNsrc4lJxTTEMnj+Lxy1PwJPK9/nIvNa/mW28Nb+iJyA+UcMCLcol2RYQ8KTs1CwBKNIL9ofAwicAvfZKM+n4ds9/Z7jI9o5wHRqK5DRC/KeUJwZ5uLZ/Lz+E93N3NNLuKeD0UI/tDSxhcmpl40vtLtYZ0jJ1E7+2gQF9MDYb07aqd5tOMpHg4/yTOm83jQvZOwMz2Z79nOd/nPUJhH9z5KSA8RIkSJYwedgYWY83aim72JdUMfPcvq7nd5PoOnzmTtTpvXZDEzV4tgskQ/JzXpZsmjuime9mt0i4+2htmJHJ6A6mO/bz9toRYmOlMfMb6xu42bX9vDV04u5zunHYcqVDRdp1ARGXWeEAJfWMdiMnAknSshBDu6tjItfwYOawG60AmGw5S/flV0udmG68zb8Gt+SnNKo+9dD6IaKlbT4IuCe0IqVz+1lTZfhEZ3kFs/lf5I0ZKU6GX2NpCcjhvUArQEmwH47a77h0xQ3/nvvexp83P3JXP7SQZTUAwVxdOAKByfj32TMXUfTHQntDW+m/I0LY5WOidRF1qtXJyWGCaE4IGP7uXZg/8AYJJzMudNuoBzJ36SSkfm5OyRRghBd0ij1ROmxRuixROmxRumxROixRumviuY1u7brMCiyUUsmxGtzFFVkP4Uw8itIpJbBVPOJqgFaQ+10uqrp6NjC+3uPbT5G2hVu2lBpRUNdZD3HbmGEYskG1QJC5WKjSqzk0pzPpW2YsrspZjtRVERHBPFhj0fYStA2AuJ2Atw2fJH9RMYYXVCEOJPsQAi084dvh2a7ZQuWQFLVrD14A5a1/6Jk7pepVTxUKq3Ubr9Pozt99NZvQzrSV8lUrNsTEet55Us4KX65+kMd9AUaKSk5LiRPqR+kYJ6HKMn1Zj+i34+dt5JW+fKF1rQBazoFnx/mZP3jeO52LwWpxCc2lHJg/rFnM1ns+6j/dD3yKl8kYh7CQDfO8nBfZuC/MtYytTQYxzMuTzrtg2ijHu1S4l0vIOl8ANc9V/lI+MB5pjq+ZQ/wKf8PR3/LvH6eCEvl1+1uTI2minVDS7v9vLT8tKU+asPNfC7okL+XtgTS7/M46XAMLimq5tXc538X0VZ7+Gy8remFr4yIfXH99b2Dm4vLSZgGljN0DdK/LhsLxF2ZP+xeHHXo/hETxS/pOofeNosOCY/mrLet7te5qAts6A0C4HeS9W2mc001O+lpmYWmG10+HvE+e7uzWi2qI/xtUm7uKzFxm+LCrl099/4XUcJ+wMNlLOEu06dRWW+A/vup1my+tecpF/BH9+dx5cXzeD7Tx3CYYNryx5mYftHRD75N0yFk1ENwdMfNlFRYGJKUR5mDjKrMlrAP6jqPHvwCf609wEc+iz+evbvMVsCiLadAPw9P48/+N/lypaVnFA0j1Ki59hsMuNXfRTZB1/i75er9tHmi0bQN9S5UXUDRVGwxHMHIn4sHT31zN/c8CGLZn0Jp82MZmh09KoAE9SCOCxHVlKsxRPimS1Rkf6rVfsyinwAa9M68lZeh14ym8DCb6I5SsDWR0WCsYgWwtr0fkJEW9z701YxrHnRKPSUaEUOI29Cn0M+vOf3CTEN0BCo5+E9v+fPe/7AotLFnD/pQs6oWnZUO7OpukGrN0yrNxwTyyGaPeEUAR0aQFTVbjFx2tRizppZyunTSylyRK8JhjDoCLloC7Um/MvxRL/WWIUMj5p+4w1kbZRqwkRZTjkVjkoqciqpcFRS6aik0lFFRU4VFY5K8qx9JyOn3w6NPUTs+x6/uVPLF/T7NzhUVE89geqpv6Kp66e8svofTG94mo+btmPCoKx5Jby8kmBOJca8LxOa+yWM/KNzXEPJguITE9NbOz5k3iQpqCUjSLKgjmDN2Jsw3kL2pZ0uFk0uoTWp/nDfFaOjGJEKAvXfSLyeVJD8J6VwTeQqzjZvpoxuPmbeyTr7afzYcwle4cSLAx9OaLuQcNsFgMJtpq/wV+udvGYs4Rb1Ct7N+R4AN7s6ub6zi0JDsJHUWsoA+YbBZ31+Gq0WttttbLfZ+YrHy73hK7i58y9c4fFwU1kpZweC7Om4lGutfwHgAn+ATxyo44McOw1WCyeFwtxfXESVpvFoYUHKPi7w+VkYjlCuabRbou/zx65OLvb5KdN1nsjPY3XMXlGq6fy/jk6uq0xv/pAs7rPxm7o/prxutetpYhrIKqYhcy2Wh4sKOWH9TUzu+gRbJi7jnUPPJRKUWiPNifXCJviP2I3DuwQgEL25aWcj/7XyDu4957859a3rKFfgUesdzAg/xv97ZSuHgjtw5KzhWnUvp9hD3Pv2jdSf8yde393OfWuiT0hu/dRM9jY1UZg7i4o8J4GIxr8aXgAgaN7L7W+/zrWnn0hRS7SU4e1l0QSpn2+9lXnFC7jz5F+yrXMrD350L5+f9iUuqrk4cdx7u3dz55ZbOMcxlf9srSew4BuEJp2REMpKyM17+9p4ZWcrZscBhOGkM1DFm3tcTCy0UlzgY2LuJGztWxKPvwGEp57ntjbzxcXVbOnYjLlX5GdLxyZOrezVyGGQ7OvouYF8bVd7RkFtdu2k4OWvYYp4sXQfRNFC+E6+Dr1qUVqDD0MI3EF1VJQ9C2oBtndto9JRSU3e1IzrmDx1iWRCW+PaLFHo46Ml7aYsR61aAlmqNOhCpzvixhVy0RFysbljI08ffBKAaXnT+dy0Ffy76TU+7NiEQLCpYyObOjZy7467OavqbM6fdGGiY9vhoBkaPtVLs89NfXcXXQGNSKiYDp+ZVm8oFmUO0+GPDDpxtzTXRlW+neoCO6V5UFMRZkJJELdaS1toLb/dE6uQEWqhPdg24GYlcZwWJ5U5VVGB7IgJ5pye6TJ7GeZx6EEfLKJXre9hjU5noaq4gE9+9pu4/P/BPe+uI2/XE1yirKZc6cYRaoWN9+DceC+RKcsJzf0ykannjJn8gUpHFWU55bhC7Wzt3MKXWTHSh9Qvihgr5pRxQHu7t/+VhoC4Z2xfnYtzHlyXmJ8/54eJae9Hd2bc1ozOP2w3U46biyK342Fwka9fXzSNa146kDa/EB/nmTfSUn4mb7dEf/ivPrWSei+8sCPVT20ngooFAxP77JdjVqJ/os2ihI+H72O6Uk/r8Q+lbPMjVycrvD0tYAXwsn4q/6V+j3fs32OS4gKgRRRzavgB3rX/FxOUHk93qyji3/piLre8mZi31jSRF4sNPFopZdYm/tPdzQRN5+VcJ/8oyGNZIMjXur0ptx0ek8KT+fmdRH4fAAAgAElEQVQsDYVYEI7gVxR+WVLEAauVjX1EpI82n/T5WZVbRlhJr9YyEJS28xAVPY86Nd9MVM+JOCY8nbLemkMN/E/uQ2ylgWDuSjTvCeSrZtQJLzM1dAZ3nX8zn//bSyg1v0xs44hMp9juQo/4ucPVxNerU73T366+iMea/4U/5kl544K3MStmXmt4hbu23ppY74nGZv5cVMiy0os4ZdnNEOrkyZcuwKOrPC+WECyKRsA17xwurLqSHZEnaFQ3ccX0q7jC20b1+l8lxlpvHMfNpXczZ94rvNrwMsXmXLr0nhKJJzjP5zfLbko5zvj3sKvLj6YZdIY7KbYVZ/XtPrqhnvve3oUltxZz3m7m1QT50swVnFV9NgAmbyNFz3wGsz/1+xKeeh6+027EKJmRmNcdVLn++R182Ojhx+fN5jPzj66lQQjBQd9+1revY337e2zr3IImNBxmJ4+c+TjljgqUYCfW5g1Ym97DdmgVFve+tHEMa27MCx0ta6fnVeNVvbhC7XSE26OCORwVza6wKzbfRWe4E0OkVxCalFvDr099kBJ79CatJdDMG42v8mrjyzQHmlLWneCcyCcnX8jy6WfS1tVJd9iLT/Xi03z4VR+eiJeOYDddYQ/dES9+1UfI8KOKAIaSOSHX0HIRaglGpAQj9m/0dSlCK8BusVCZb2NCgYOKfCuFeUFyHB7M1m50UxcB0UFHeADR5SyYFDNl9rIesZwUYR5odHms0ft7OFQU/nMFtsa1idedK15HT64hPgJ4QipPbaqjbfMLXKy/wRmmbZiUHomn51YSmvNFIjXLMXKrMHLLwTx6S/DdsvnHrGp+k5q8Kbz8uZeG/Bz2RXn54JNLpaA+ihxtQX3XSzt46J2DifnW4rXYK/5FqOWzaN2Lsw+AQEEgGHzb0wcvm8eHTR5+/25604TvfayAF3apHOyMirjffG4e+11+7nkrXYADLJ+dS17tG/zGdj+NopT/K7ibte12ZpTaaKv4n5R1v20/nS/veplSen5g1s3+AXd1nkFJ0yrusT6I31rEl/3XsV9M4BrL01xj6clqv1+7mLu1FZyo1PIz61/YbkzlRu3rRJ97iqzWlce15Swx7WG2qbHfz+ZbVeW870i1BfyizYWqQJ3FygnhCA8VF7DTnnqBOyUYwmkYrM51UqzrTFVVNuf0iPNvuLtpsVj40G6nMUMjm0u8Pjbn2Dlk7d9rXKOq3NzeydcmHJ1SYlO006kNdmLN33nYY9y86E4ONU7jT22ZIxjzwmEesCziyQILD/q3DmhMh1D4TUsLS0NhXnc62GQr5I+BKyia/AJhI/0mxKw5eOq8VyjK6Tl3FouJ4iIn7qY6Hjv0Ir/d+ztOrzyLHy+6OeH7FkJQ769jW9cWHtz2MAGjA8WUKgSXV5/D92d8gykvXYmlK5pQuu24azm+43Usrh10m0w0TP8EjfO+woFIO3nKRH6/ykxdZ9T1Xeyw8s9vnoLT9v/bu/PwKKqs8ePf3rfsWydAMCBhBxMJYQkoIhlG2RRRfAdQdMQFRgdHhFcZx3EZR0VFgXEZRXFeGX+uqCAiKIuiQkAhKBD2hEASsu/dne6u+/sjIRDZxAZC8HyeJ0/St7ort/p0dZ++depW/ah6oesQH2S/y+r8L+nvHMjdXe9Fr9Pj13yUekpx+920drRBf4pLWhe7i3hr9wLCzREkR/WijaMtP5VmklG8jg1F6ylyFx73cXcZL+L24nyMZbuPu9wX0alxXmhvXG/21OTw/r532FK6mWJP8WnPRXxYp9AuPHLpE8TYjn1tK6X4sSyT5Qc+Y3XBl9T6ao+zhrPLqDPhtDkJNYdR5imlyH36o8sOY1BDcuyU0eUGZyuhDvn0Fg5ftdIf3IbSCd+dNycI19b5+XBLPqs2fE963QpuMKzGqTvORW8AzRqO5nCiOZz47bGNf2uOGDS7sz7xtkf/oovVnGkfZX/AnG31gy2rb1iN3m2VhFrUO5cJdZlPMfjZNcdZ6geaHq5uE2rlQMWZqWp78foexAVbuPb1I1ceHNIxiuuTW6HXwUdbCvh0W/0H7bI7+5Bb5iIzr5JtBdWMuSSOye//2Pi4D2/tzejXNxBOJWUE8/SIrmTmVXLtJSH8bdOfyHXnAhBlcfJC6gI2bM3m2o1jidBVUxA1gKL0f5NXo3FRpI09uTkEhcZxqNLNZ9sLydh9gE/Mf6W1oYx39cN4tmYoNfpgnr+2G6F1hXy8z8eBakX/hHAujQ9jw39ncq/pA97wDeXSLl1oVfw1GcHpVLUfQftv7iXVm9HkeZjmvYMP/APprMvlf9qUcUPhbNaZIrg/Iol+ukIeLtlDha6Wdl5fkxHuex1PEF2eSWT0Z8wLD6Ofy8VLBUUAfO6w09VTR4LPR4HBwIvhoVxZU8vlriOx+9rQnd7aVqZHR7LKYef31TXMKqqv991sMTOh1bEjleF+P9dU1VBi0PPHikraeX2kXtQGd0NN+O+ra/hjRSXXtz67Z48He+xUWU4/kYnVt2Z/9hDMbd884X1smobrZzXuTr0Nq+pLjlp1gkfBpLIqXg0/9o1VrxTazz48uxcNZ0LHFFLbhqJH4/9+/B576ft0dR/gb1ERFDaUCV3sj6GdsReucBc7ardS7C46Zv3KZ0cpA3pT/XtGpKbj/w4epLXPx3TDMD6xRxAUuhVlLMZ3vJM//Tb8rjb43W3QuVoxrksSV/aM4L3sd1iV/2WT0du2jouo9ddS6i5Ba5gNKMwcRkpUH1Kj+5ISlXpMnXqd38Pd393JrsodJ3zuDuuCjYE1VXxr9POTxUK818t9peWEaBpJbg8GUxDeNmmNSbQW3Bql6ssw3tm7kI3FGSddv1lvJsoaTaQliihrFJGWKCKt0URZo4iyRBNpjSLSEonNeOQQ/eHa5YKfnex3qNJDflUFheoHCNqIwbEHna7pR6RSepTfBpoV5beh/FaUZkOvbDiMQYSYggmzBhNpDcHpCCMuKJxgm4ZLFVHkySevNo/82jzyag9S46v++eac0PFGlw//7bQ5ibZeeKPLZ8LZSqiDl0/Buqt+/qnanrdSM/DRM7buM8Xj01iytYCF67PpXLOO/zGsZJA+s8mo9S+h0KFskfgdTjR7zFFJ91EJuD2mPvE+g1/Y9lTuYtLamwF4ftDzXBrSVxLqlqikpISHHnqIjIwMDAYDI0eOZMaMGRiNv/7Fcq4S6kPVHoa/sr5Jm14H2gkiPbB9BF/vLT3+wtP06o2X0DHawb+/zWHh9wdpH2nn0as6U1PnI8hiJDbEwiPLdjKgfQTX9IilyuNjb0ktwRYj7SPtrN1bwqOf72J4NyeT+rVlXXYZD36axajusYzuGUtcqBWjwcu+qt1UVJfRw5mK3WTCoDfiqvOxNCOTELuN9J4X49WZ2H6omu5xwVR7fORXuokLsWI3G/kht5zskhquT2pFfkUNVXWQV+nhisQoXF4/ZoMew1EXt/l2bzHvfvEVo5LbMrh7e1zVFXiC2uAwG6jI/p7Oy+pP3CxvPZjK1Glc9nb9aEC4VceckRcz67NMfqyycc8VbbiyTR2tDQYi/9+Vjevfn3gLB2IG07rrZYyd/x0T696ir/4nnvbdyJS22aQV1F8p8r++wWxR7XnSdKTGukrZCNa52NP1bha4+3HZrmcYYviBnWYTCV4vlqPi/vOkOtiv8eHB/CYX2wH4ymblX+GhJHh9/LOoBD3wpd3G1KNqwl8pKORSt4cCg4ER8UdOekmrdRHj97Mo+MiH+9F15ycyuawcl07PG2EhJ73fmZLqcvNaQSE3x8U0GfE/lRifj38XFPJpkIM+Ljd/dkZT05Csp9W6sCmFWSk+c9hRv2LE6hpuYvvBVmytBnPscrTQ+un7OtTVka+zU2MKfF52vYIIpaNYf+q3fx06EkM60ju6L6nRfeka1o0522azeP+ixuXqqErgcKWnf62LATVV9HO5iWw4ifiTIAczf3bScJDBTu/ofvRzDiA1uh92o51VeV/w7r632VN1ZHpHs95Cn6hBxFhaE22NpnWQk1aOaKJs0QQZg085/V25y8uG/eWszy5jw/4y8is9v6h2WWesQGcqB7+VMGswTnsYrUKCiQ22ERtiITbY0vDbSqjNeFrT8CmlqPJWkV97kHxXHnk1B8mt2U+lt+K4I8yRlsjf3OjymXC2EuqgVfdj2/Y2AOWj3sHbJrBzKM4mn6ZYnlXIgvW5VJQWcJHuEDG6MtpZqhgU66NbcA0WVxH6mgL0NYfQe44/mn0qCh2aPfqoJLthpPuo5Ntvd6Jskb9oBhK/8nPNit9T46vhpq43cVuHyZJQt0QTJkzA6XTy2GOPUVxczF133cU111zDbbfd9qvXea4S6s15lUx6e/Mvuu8DQzpgNel5+LOdTdrHJMXxQWY+x3t13Jwaz3+/P4DXf+zCdyf2IiHCTq3Xz383HuDKTtGEWk3YTXosJgN6nY7S2rrGE6X8mmLzwQrahFpxNkzvpJRq8sG0Lb+KLrFBlNZ6iXSYqfN7KPaU0Mp+7JnLXlcleqMFg6n+0HuVx0uwpf5QVYXLS4i1/kNPKYVf0XiyWo3HR2mtl/jwE8/UUFjlISbIfNzDesaD61BGC1pwG5Q9mjfW5/DxlgKmDWpHp7hQKt1e8io89G8Xjg4Nvc+N6YvphO37hE3tp9DmqgeorfNhNxsprPIwa9Vuoq1+IkP93NAjgYKv3mTK1g7ERUXyyCVVdP3uzzi0Kh6NnMXi8gT+khbLkO4J1JQf4r5Pd/NG1R3YDV6M3qYjvhV6PQMuOnJS5/rsXOwNQfbqzPg1hVXn5Xh2mUyMblM/Sv3PwmIuD+1BcF79F7exrZyNpSqv5x8i1ufnbmcUiXVehtbU0t/lpk/Cyad3eyW/kP7u+qsrTouOZHlQ0/r9YdU1fHpU20PFpWy2WFgcfPw6/8uq/KyxBaHQ0aUmjHGeH4n0mpnSuv6NckZJGeMrq8g1GnkqMpwBbj//iDjyJaCjp46dlvrXaf9aF48Wl5JrMpLg9RLVcPGhMhXE9MhWrAv9ZUd4LqrTyDHXJ98xPh99XW76ut0sDAlmq8XS5IgCgE/p+WtMeJPtBtBjxODuSHVlPEE+A3/lI7ppJZhQ7DCb+dFiZqvFzDazufFIA9SP1F9TVcOEyiqCNI1nI8Jw6XQ4/X6cPj9Ovx8FrLNZWWuzNo6qH82mgathlcm+UP5a6qfYn80Bk55unjq61DW9sFOuIZ5txm5sMiSy0PnxMes7TCkd+O3ojEdq0zWfA29ZP7xl/VD+ps+BUa8jxGokxGok2GIi1GYk2GJsbAuxmiirrWNdTjnbC6pOmkBbjPqGE/2sOI9KlFuH2egUH45V035FAdzpc/nqy4kCnTFGHHG2EmrHt//AvuklNEsoJbdsbpaSiNOlKcXq3SUsWL+f7YeOHB0JthgZm9yKm1PjsZoM4HOjry2qT65rCjDUHEJfe6jhdmH979pD6D2nV8N/mNIZ0OxRDeUkzmPKTPwNybeyRfDPLY+z4uAybu95O+MTbpWEuqXJycnhd7/7HV999RVOZ3293dKlS5k1axarVp348PCpnKuE2mDQsbWklo27i/lPxgFqvX5eGN2dO989Uj/6YHoiJr2OYd3qt2/e1/v4z4YDjcsz/jKQNbuLqfH4+f5ABYuPOnHwmz8P4P3MPGav3kvbcBtjklrxwuo93DvoYoZ3c+Kw1H8I7y9zER9mPeWoTaXbS7DlxKM7VW4vwdYjb1Z+zUd5XTmR1l8+3d2paEqhHZVg/yrehtpakw2fpnDV+Qm2nmRESfPhPrgFY1zPY458aIAzOpj9+UWYDSZMFTnsqIshLtRKkM4FtcUYXcX44npT7fFhMeoxGfSN26LzVKHwM/pfK/mP+UkOmdvSx5qLoTqPHu3q5/S2+fVk7M9u/J97J2Qy6j87GO/7kAnG5SzyD2Bn3HXsP5DNY6Y36K7P5o3QYGp0eiaZ2uJKvpOw5VMAWBgSxJOR9Sd6fZudSyUxuNL+THhIK8q2Lue5giRMQS+yMqT+zbBn+CVsKcts/N8XeTQK902jDeX8PqqEG2vmsTjIQXtzNNOD9XRyVfFC7GheLd/MKoNiZu9ZdNgwC9e+jbwTBN87NGz6GNab69/gh6sQOoX+jfk7jVzRIYIrOkRz4MBe4sLDKLT8xP4tL3Jfzo/HXGnt0chw3gsJZmRVNUMPxfLnkOu5MXYZ48pKsZtj+bLAyjZHH26+8WY++/hNPihqxah+3fFrS9hZt531Fdupa7jCT5S/LXOvfIRPd5SzOGsrecXBaHUx3NCzipFt6lDZBzCU7iSkejdGbT9rg2F0VTURP5sWcqvZzLi4OHR6C2mxaVwWezmp0f2wGe18u6+UhRk57DmYx19NC7na+D3moAj8jli8DifV1nBWuXRsclfjrXORUOHA4vLgwIVD5yaUGsJ11YRRRbiumhBqGw8HK2C3ycS3Nitr7Va+t1rxHrWPxvl8vHewoMmFn+qUgR9VezZondiodeJ7LZEyjhxxsMR+iDk8A83nwFMwCoNjL8ag7cfMma7VRVJXMhBvRS9QZy5RibCb6JsQTmdnMHG/YHT5bCVj4tw5WzHUl+8j6NvH8SRegydxxBlb77mglGJdThlvrM9l04Ej+974lDb8+fL2J3nkz3hd6GsP1SfcNYUNSXfDKPfRP95fXtrUpJ96I1WOGLaExdL3989SZe8kCXVL88UXXzBz5kzWrz9SNrFjxw5GjhzJhg0bCAk59SHpwsJCioqa1kYajXZiYmJO8Igzx2DQExJio6Kilhq3D7fPT7jdTKXbyxvr9uPXFFOvuBgdNPkQeX1dDgs3HOAfw7vQt11EY3tJTR2/f/E7fJoiMdrBO7ek4NMUX+8poVtsMM4QK6XVHiKCzt3Zwj7Nh/ECPvx5OIaVlS78/l//BrJg/X5WZBXyxIiuXBSkofO6WJjzAR8cWMq0Hg/RQzloteJ2vO3ScV32MHkVbgqrPKzZVYTNbGRC73imfvgjGTlljDWsJsEZwc3d7XgTrkRZQgl9IxWdz0XF5Y/xmlUjMaQDA50Djjta4/dr5Ffs4NuyTIbGX8WdX/2Rg7UHmNj+j4R7rmBQl7aYDXrsZgOmnNVYfvwPnh434YlPw+AqA0cM6HQUVXuIPuq15vf5MLqK8Nqd/GntPRS49/FKnzk4wy5GKYVPU41fNo6mL92FsoRiXT8bY/4GfG36URk/kA1GP5dqFra4E4h1xtI2/Ejt7eG3y8NHOQ7/fZhP8/He3nfweS2M7zqaiLBgKitd+Hx+Nh2owO3V6Nfu2Jk+NE2jqPgQ4aoCm68CvasUaovYmLWHAl8Q7YfcSkJUyAkvYrOjoIL8omIGdo7HYDr5NHl1Po28Cje55S6qPT7cXg23z4/L68dT5wV3BXpPOSZPGca6cszeSqzecgz+Mg4ZC9hnKaXS4GF8qZ+u3lr204qfjF3ZYe7GXlMn/AYrJoMeo16HyaDDqNdjNNTP8a3TuzmkW0WsoRfhpjYY9fXt1SqXAv8marRDJFhT6OBIxWIwYjToGtdlbPjt8WlUurxUenxUuLxUuX1UuH1Uur1Uun31Py4v1XV+zAYdyW3C6NcunL7tIkiMdqA/jbKMM7UfiuYjMTy5TQfKmf/dfr7PLeeB9LM0I1BdTWNyrTuccFcfvt2QdFfno/OdZNap1DuoHPDIOYthePjpz+0vCfVxfPzxx8yePZvVq1c3tu3fv5/09HTWrFlDbOypX3Bz585l3rx5TdqmTJnCPffcc6a7e074NcWqrEK6tw4lNvT8mf5NnH1KKdbuLmbNjiJuv7w9McFHxb8yv74EJvj034TzqvPYXb6btFZpx8zrHAhNaaecoUJc+Hx+DQXH/TIlhDjPKAWeKqgqgOqC+t9V+fW/NR/0nQwR7Zq7lyd14Q7xBcBut+NyNf2mdPi2w/HLvrWMHTuWwYMHN2kzGu2UldWc4BFnztn6Rt4rLgg0/znZht+6821UpXuUne5RF4Hv5/FvOFrzK14TNkLp4ehF5RmaYeZ8c77FUJw+iWHLJzFsSQxgbA1hrSHsqNZmiOGvGaGWhPo4EhMTKS8vp7i4mKio+jrdPXv2EBsbS3DwL6uriYmJOaa8o6io6pzW4fn9mtT9tXASw5ZPYtjySQxbPolhy3e+x1COhR1HQkICvXr14oknnqC6uprc3FxefPFFxowZ09xdE0IIIYQQ5xlJqE9gzpw5+Hw+rrzySm644QYGDhzI5MmTm7tbQgghhBDiPCMlHycQFRXFnDlzmrsbQgghhBDiPCcj1EIIIYQQQgRAEmohhBBCCCECIAm1EEIIIYQQAZCEWgghhBBCiABIQi2EEEIIIUQAJKEWQgghhBAiAJJQCyGEEEIIEQBJqIUQQgghhAiAJNRCCCGEEEIEQBJqIYQQQgghAiAJtRBCCCGEEAGQhFoIIYQQQogASEIthBBCCCFEAHRKKdXcnRBnVmFhIe+88w5jx44lJiamubsjfgWJYcsnMWz5JIYtn8Sw5WspMZQR6gtQUVER8+bNo6ioqLm7In4liWHLJzFs+SSGLZ/EsOVrKTGUhFoIIYQQQogASEIthBBCCCFEACShFkIIIYQQIgCGv//9739v7k6IM8/hcJCamorD4WjurohfSWLY8kkMWz6JYcsnMWz5WkIMZZYPIYQQQgghAiAlH0IIIYQQQgRAEmohhBBCCCECIAm1EEIIIYQQAZCEWgghhBBCiABIQi2EEEIIIUQAJKEWQgghhBAiAJJQCyGEEEIIEQBJqC8wJSUlTJ48mZSUFPr06cM//vEPfD5fc3dLHCUrK4tbbrmF1NRU0tLSmD59OqWlpQBkZmZy/fXXk5yczODBg3nvvfeaPHbRokWkp6eTlJTE6NGj2bRpU3Nsgmjg9/uZMGEC//u//9vYtmbNGkaMGEFSUhJXXXUVq1atavKYV199lcsuu4ykpCQmTJjA3r17z3W3BVBeXs706dPp06cPvXv3ZvLkyRQWFgKyH7YUW7duZdy4caSkpDBgwAAef/xx6urqANkPz3elpaWkp6ezfv36xrZA9ju/389TTz1F//79SU5O5q677mrcn88ZJS4o48ePV/fdd5+qra1V+/fvV8OGDVOvvvpqc3dLNHC5XCotLU298MILyuPxqNLSUjVp0iR1xx13qPLycpWamqreeust5fV61bfffquSk5NVZmamUkqpdevWqeTkZLVx40ZVV1en3njjDdWnTx9VW1vbzFv12/X888+rzp07qxkzZiillNq3b5/q0aOHWrFihfJ6verTTz9VPXv2VAUFBUoppT788EM1cOBAtXPnTuV2u9U///lPNWzYMKVpWnNuxm/S+PHj1ZQpU1RFRYWqqqpSf/rTn9Ttt98u+2EL4ff7VVpamnrzzTeV3+9X+fn5aujQoWrevHmyH57nNm7cqIYMGaI6duyo1q1bp5RSAe93c+fOVSNGjFB5eXmqqqpKTZ06VU2aNOmcbpeMUF9AcnJyyMjI4P7778dmsxEfH8/kyZNZuHBhc3dNNMjLy6Nz585MmTIFs9lMeHg4Y8eOZcOGDSxfvpywsDDGjRuH0WikX79+jBgxojF+7733HsOGDaNXr16YTCYmTpxIeHg4S5cubeat+m367rvvWL58Ob/73e8a2xYtWkRKSgpDhgzBaDRy9dVX07t3b9555x0A3n33Xf7whz+QmJiIxWLhvvvuIy8vr8kojTj7fvrpJzIzM3nyyScJCQkhKCiIxx57jGnTpsl+2EJUVFRQVFSEpmmohgs+6/V6bDab7IfnsUWLFjFt2jTuvffeJu2B7nfvvfcekyZNIi4ujqCgIGbOnMlXX31Fbm7uOds2SagvILt27SIsLAyn09nYdvHFF5OXl0dlZWUz9kwc1r59e1577TUMBkNj2+eff063bt3YtWsXHTt2bHL/Dh06kJWVBcDu3btPulycOyUlJcycOZNnn30Wm83W2H6qGP18uclkIiEhQWJ4jm3ZsoUOHTrw7rvvkp6ezoABA3jqqaeIjo6W/bCFCA8PZ+LEiTz11FP06NGDyy+/nISEBCZOnCj74XlswIABrFixgquvvrpJeyD7XVVVFQUFBU2WR0VFERoayo4dO87SlhxLEuoLSE1NTZMPd6Dxdm1tbXN0SZyEUorZs2ezatUqZs6cedz4Wa3Wxtidark4NzRN4/777+eWW26hc+fOTZZJDFuGiooKduzYQXZ2NosWLeKjjz7i0KFDzJgxQ2LYQmiahtVq5aGHHmLz5s0sWbKEPXv2MGfOHInheSw6Ohqj0XhMeyAxq6mpAcButx+z/PCyc0ES6guI3W7H5XI1aTt82+FwNEeXxAlUV1dzzz33sHjxYt566y06deqEzWbD7XY3uZ/b7W6M3amWi3PjlVdewWw2M2HChGOWSQxbBrPZDMDMmTMJCgoiKiqKqVOnsmbNGpRSEsMWYMWKFXz++ef84Q9/wGw2k5iYyJQpU3j77bdlP2yBAonZ4UT75/nPuY6pJNQXkMTERMrLyykuLm5s27NnD7GxsQQHBzdjz8TR9u/fz3XXXUd1dTXvv/8+nTp1AqBjx47s2rWryX13795NYmIiUB/fky0X58bHH39MRkYGKSkppKSksGTJEpYsWUJKSsppx9Dr9ZKdnX3MoUxxdnXo0AFN0/B6vY1tmqYB0KVLF9kPW4D8/PzGGT0OMxqNmEwm2Q9boEA+/0JDQ3E6nezevbtxWVFREeXl5ec0ppJQX0ASEhLo1asXTzzxBNXV1eTm5vLiiy8yZsyY5u6aaFBRUcHNN9/MpZdeyvz584mIiGhclp6eTnFxMQsWLMDr9bJu3ToWL17MddddB8CYMWNYvHgx69atw+v1smDBAkpKSkhPT2+uzflNWrZsGT/88AMbN25k48aNDB8+nOHDh7Nx40ZGjhxJRkYGS5cuxefzsXTpUjSYj/oAAAb2SURBVDIyMhg1ahQA1113HW+99RZZWVl4PB6effZZoqKiSElJaeat+m3p378/8fHxPPjgg9TU1FBaWsrs2bMZMmQIw4cPl/2wBRgwYABFRUW8/PLL+P1+cnNzeemllxgxYoTshy1QoJ9/o0eP5qWXXiI3N5fq6mqeeOIJUlNTadu27bnbiHM6p4g464qKitTdd9+tUlNTVd++fdWTTz6pfD5fc3dLNHj99ddVx44d1SWXXKKSkpKa/Cil1JYtW9TYsWNVcnKyuvLKK9UHH3zQ5PEfffSRGjp0qEpKSlJjxoxRmzdvbo7NEEeZMWNG47R5Sin11VdfqZEjR6qkpCQ1bNgwtXr16sZlmqap+fPnq8GDB6ukpCQ1YcIEtXfv3ubo9m9eQUGBmjp1qkpLS1MpKSlq+vTpqqKiQikl+2FL8c0336jrr79e9erVSw0aNEg999xzyuPxKKVkP2wJjp42T6nA9ru6ujo1a9YsNXDgQHXppZequ+66SxUXF5+zbVFKKZ1SDfPNCCGEEEIIIU6blHwIIYQQQggRAEmohRBCCCGECIAk1EIIIYQQQgRAEmohhBBCCCECIAm1EEIIIYQQAZCEWgghhBBCiABIQi2EEEIIIUQAJKEWQgghhBAiAJJQCyGEYP369XTq1IkDBw4AMHjwYObOndvMvRJCiJbB2NwdEEII0fySk5NZu3YtERERzd0VIYRocSShFkIIgdlsJjo6urm7IYQQLZKUfAghxAWoU6dOLFmyhJtuuomePXuSnp7OypUrWblyJUOHDiUpKYnbbruN0tJS4NiSj5/74YcfGDduHD179mTQoEE88sgjVFdXNy4vKChg2rRp9O/fn27dunH55Zcze/ZsNE1rvM/atWsZPXo0PXv2ZNiwYbz//vtN/mddXR2zZs1i4MCBJCcnc8MNN7B27dqz+CwJIcSZIQm1EEJcoB5//HHGjRvHkiVL6NChA/fddx8vvfQSs2bN4uWXX2bLli28+uqrp1xPVlYWEydOJC0tjU8++YRnnnmGrVu3cuutt6KUAuCOO+6gtLSU+fPns2zZMm677TZefvllVq5cCcD27du544476Nu3Lx999BFTpkzh6aefbvJ/HnjgAb7++mtmzZrFokWLuOqqq7jzzjtZvXr1GX9uhBDiTJKSDyGEuEBde+21DB06FIAbb7yRlStXcu+999KzZ08A0tLS2Llz5ynXM3/+fPr168fkyZMBSEhI4Nlnn2XIkCFkZGRwySWXMGrUKIYOHUrr1q0BmDBhAv/+97/ZsWMHQ4YMYcGCBXTv3p3p06cD0L59e0pKSnj88ccByMnJYcmSJbz//vv06NEDgFtuuYWsrCzmz5/PoEGDzuhzI4QQZ5Ik1EIIcYFq165d499WqxWA+Pj4xjaLxUJdXd0p17Nt2zZycnJITk4+ZtmePXvo06cP48ePZ9myZbz55pvk5OSQlZVFYWFhY8nHtm3b6N+/f5PHpqSkNPkfADfddFOT+3i9XkJCQk7ZRyGEaE6SUAshxAXKaDz2LV6n0532ejRNY8SIEdx5553HLIuIiMDlcjFu3DhcLhdXXXUVo0aN4qGHHmLcuHGN9zMYDE3qqX/ucOnIwoULcTgcTZbp9VKdKIQ4v0lCLYQQ4qQSExPZtWsXF110UWPb3r17efrpp/nLX/5CdnY2W7du5ZtvviEqKgqA8vJySkpKGhPlzp07k5mZ2WS9R99OTEwEoLCwsEl5x+zZs9HpdEydOvVsbZ4QQgRMvvYLIYQ4qVtvvZXt27fzt7/9jd27d5OZmcm0adPYt28fCQkJxMbGAvDJJ59w8OBBNm7cyOTJk/F6vY0lJbfeeis//fQTzzzzDPv27eOLL77ghRdeAOpHzRMTE7niiit4+OGH+fLLL8nNzWX+/Pm88sorTcpUhBDifCQj1EIIIU4qKSmJ1157jRdeeIHRo0djs9no27cvM2bMwGw207NnTx544AEWLFjA888/j9Pp5OqrryYuLq5xFLpjx47MmzeP5557jgULFtCuXTvGjRvH3LlzMZlMQP1o9OzZs3n44YepqKggPj6exx57jOuuu645N18IIU5Jpw4fjxNCCCHOki1btmA0GunatWtj2+LFi3nwwQfZtGnTceu9hRCipZCSDyGEEGddVlYWN910E19++SV5eXl89913zJ07l2HDhkkyLYRo8WSEWgghxFmnlOJf//oXixYt4tChQ0RGRjJs2DDuueeexin9hBCipZKEWgghhBBCiABIyYcQQgghhBABkIRaCCGEEEKIAEhCLYQQQgghRAAkoRZCCCGEECIAklALIYQQQggRAEmohRBCCCGECIAk1EIIIYQQQgRAEmohhBBCCCECIAm1EEIIIYQQAfj/bhHvszGZTKkAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 800x550 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.lineplot(x='mileage',y='price',data=carsale, hue='engType')\n",
    "plt.title(\"mileage - price line Plot\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " - The above graph shows line plot/relation between __mileage__ and __price__. We can't comment on the price increase/decrease over the mileage but this shows, price changing accordingly based on mileage value. So __price is varying based on mileage__ too and this should be consider as a factor for the calculation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 169,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5,1,'Heatmap for Highest correlated features for Carsale datset')"
      ]
     },
     "execution_count": 169,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x550 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.heatmap(carsale.corr(),annot=True, linewidths=.5)\n",
    "plt.title(\"Heatmap for Highest correlated features for Carsale datset\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " - Above graph shows the __which features are most relative/correlated and dependent on each other__. Hence it looks __price__ and __year__ are higly correlated to each other and price may change (increase/decrease over the period of time)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 173,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5,1,'Price distribution over the year w.r.t to engType')"
      ]
     },
     "execution_count": 173,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 588.75x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.lmplot('year','price', carsale, fit_reg=False, hue='engType')\n",
    "plt.title(\"Price distribution over the year w.r.t to engType\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " -  The above __multivariate graphs__ shows the __Price__ distribution over the years w.r.t __engType__. As the years increase, this shows there is __significant increase in prices of cars models having engine tyep = \"Petrol\"__ as compared to __\"Gas\" and \"Diesel\"__."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 174,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Anaconda\\lib\\site-packages\\scipy\\stats\\stats.py:1713: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.\n",
      "  return np.add.reduce(sorted[indexer] * weights, axis=axis) / sumval\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0x21d49e7e128>"
      ]
     },
     "execution_count": 174,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1288.75x1200 with 20 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.pairplot(carsale, hue='engType', palette=\"viridis\", height=3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " - This pairplot gives the observations which already have been referred from other graphs above : those are\n",
    " - - Price varying based on __Year__ and __Mileage__\n",
    " - - As __Year__ increases there is increase in __Petrol__ engine type vehicles's prices which also depending on __mileage__ too."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id=section4></a>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_cell_guid": "b003787b-c505-4a4c-9f43-230acc35c2f5",
    "_uuid": "ee26abaed914638118de10f1cc177184d38abd21",
    "collapsed": true
   },
   "source": [
    "## 5. Conclusion \n",
    "\n",
    "- With the help of notebook I learnt how exploratory data analysis can be carried out using Pandas plotting.\n",
    "- Also I have seen making use of packages like __matplotlib and seaborn__ to develop better insights about the data.<br/>\n",
    "- I have also seen how __preproceesing__ helps in dealing with _missing_ values and irregualities present in the data. I also learnt how to _create new features_ which will in turn help us to better predict the survival. \n",
    "- I also make use of __pandas profiling__ feature to generate an html report containing all the information of the various features present in the dataset.\n",
    "- I have seen the impact of columns like __mileage, year and engType on the Price increase/decrease rate__.\n",
    "- The most important inference drawn from all this analysis is, I get to know what are the __features on which price is highly positively and negatively coorelated with.__ \n",
    "- This analysis will help me to choose which __machine learning model__ we can apply to predict price of test dataset in later terms and projects. "
   ]
  }
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