Pandas,numpy, matplotlib,distances,seaborn.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "from math import*\n",
    "from decimal import Decimal"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [],
   "source": [
    "df=pd.read_csv(\"2019.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "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>Overall rank</th>\n",
       "      <th>Country or region</th>\n",
       "      <th>Score</th>\n",
       "      <th>GDP per capita</th>\n",
       "      <th>Social support</th>\n",
       "      <th>Healthy life expectancy</th>\n",
       "      <th>Freedom to make life choices</th>\n",
       "      <th>Generosity</th>\n",
       "      <th>Perceptions of corruption</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>Finland</td>\n",
       "      <td>7.769</td>\n",
       "      <td>1.340</td>\n",
       "      <td>1.587</td>\n",
       "      <td>0.986</td>\n",
       "      <td>0.596</td>\n",
       "      <td>0.153</td>\n",
       "      <td>0.393</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>Denmark</td>\n",
       "      <td>7.600</td>\n",
       "      <td>1.383</td>\n",
       "      <td>1.573</td>\n",
       "      <td>0.996</td>\n",
       "      <td>0.592</td>\n",
       "      <td>0.252</td>\n",
       "      <td>0.410</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>Norway</td>\n",
       "      <td>7.554</td>\n",
       "      <td>1.488</td>\n",
       "      <td>1.582</td>\n",
       "      <td>1.028</td>\n",
       "      <td>0.603</td>\n",
       "      <td>0.271</td>\n",
       "      <td>0.341</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>Iceland</td>\n",
       "      <td>7.494</td>\n",
       "      <td>1.380</td>\n",
       "      <td>1.624</td>\n",
       "      <td>1.026</td>\n",
       "      <td>0.591</td>\n",
       "      <td>0.354</td>\n",
       "      <td>0.118</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>Netherlands</td>\n",
       "      <td>7.488</td>\n",
       "      <td>1.396</td>\n",
       "      <td>1.522</td>\n",
       "      <td>0.999</td>\n",
       "      <td>0.557</td>\n",
       "      <td>0.322</td>\n",
       "      <td>0.298</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Overall rank Country or region  Score  GDP per capita  Social support  \\\n",
       "0             1           Finland  7.769           1.340           1.587   \n",
       "1             2           Denmark  7.600           1.383           1.573   \n",
       "2             3            Norway  7.554           1.488           1.582   \n",
       "3             4           Iceland  7.494           1.380           1.624   \n",
       "4             5       Netherlands  7.488           1.396           1.522   \n",
       "\n",
       "   Healthy life expectancy  Freedom to make life choices  Generosity  \\\n",
       "0                    0.986                         0.596       0.153   \n",
       "1                    0.996                         0.592       0.252   \n",
       "2                    1.028                         0.603       0.271   \n",
       "3                    1.026                         0.591       0.354   \n",
       "4                    0.999                         0.557       0.322   \n",
       "\n",
       "   Perceptions of corruption  \n",
       "0                      0.393  \n",
       "1                      0.410  \n",
       "2                      0.341  \n",
       "3                      0.118  \n",
       "4                      0.298  "
      ]
     },
     "execution_count": 88,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1404"
      ]
     },
     "execution_count": 89,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.size"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Overall rank', 'Country or region', 'Score', 'GDP per capita',\n",
       "       'Social support', 'Healthy life expectancy',\n",
       "       'Freedom to make life choices', 'Generosity',\n",
       "       'Perceptions of corruption'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 90,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0                       Finland\n",
       "1                       Denmark\n",
       "2                        Norway\n",
       "3                       Iceland\n",
       "4                   Netherlands\n",
       "                 ...           \n",
       "151                      Rwanda\n",
       "152                    Tanzania\n",
       "153                 Afghanistan\n",
       "154    Central African Republic\n",
       "155                 South Sudan\n",
       "Name: Country or region, Length: 156, dtype: object"
      ]
     },
     "execution_count": 91,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Country or region']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<bound method NDFrame.describe of      Overall rank         Country or region  Score  GDP per capita  \\\n",
       "0               1                   Finland  7.769           1.340   \n",
       "1               2                   Denmark  7.600           1.383   \n",
       "2               3                    Norway  7.554           1.488   \n",
       "3               4                   Iceland  7.494           1.380   \n",
       "4               5               Netherlands  7.488           1.396   \n",
       "..            ...                       ...    ...             ...   \n",
       "151           152                    Rwanda  3.334           0.359   \n",
       "152           153                  Tanzania  3.231           0.476   \n",
       "153           154               Afghanistan  3.203           0.350   \n",
       "154           155  Central African Republic  3.083           0.026   \n",
       "155           156               South Sudan  2.853           0.306   \n",
       "\n",
       "     Social support  Healthy life expectancy  Freedom to make life choices  \\\n",
       "0             1.587                    0.986                         0.596   \n",
       "1             1.573                    0.996                         0.592   \n",
       "2             1.582                    1.028                         0.603   \n",
       "3             1.624                    1.026                         0.591   \n",
       "4             1.522                    0.999                         0.557   \n",
       "..              ...                      ...                           ...   \n",
       "151           0.711                    0.614                         0.555   \n",
       "152           0.885                    0.499                         0.417   \n",
       "153           0.517                    0.361                         0.000   \n",
       "154           0.000                    0.105                         0.225   \n",
       "155           0.575                    0.295                         0.010   \n",
       "\n",
       "     Generosity  Perceptions of corruption  \n",
       "0         0.153                      0.393  \n",
       "1         0.252                      0.410  \n",
       "2         0.271                      0.341  \n",
       "3         0.354                      0.118  \n",
       "4         0.322                      0.298  \n",
       "..          ...                        ...  \n",
       "151       0.217                      0.411  \n",
       "152       0.276                      0.147  \n",
       "153       0.158                      0.025  \n",
       "154       0.235                      0.035  \n",
       "155       0.202                      0.091  \n",
       "\n",
       "[156 rows x 9 columns]>"
      ]
     },
     "execution_count": 92,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 156 entries, 0 to 155\n",
      "Data columns (total 9 columns):\n",
      " #   Column                        Non-Null Count  Dtype  \n",
      "---  ------                        --------------  -----  \n",
      " 0   Overall rank                  156 non-null    int64  \n",
      " 1   Country or region             156 non-null    object \n",
      " 2   Score                         156 non-null    float64\n",
      " 3   GDP per capita                156 non-null    float64\n",
      " 4   Social support                156 non-null    float64\n",
      " 5   Healthy life expectancy       156 non-null    float64\n",
      " 6   Freedom to make life choices  156 non-null    float64\n",
      " 7   Generosity                    156 non-null    float64\n",
      " 8   Perceptions of corruption     156 non-null    float64\n",
      "dtypes: float64(7), int64(1), object(1)\n",
      "memory usage: 11.1+ KB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "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>Overall rank</th>\n",
       "      <th>Country or region</th>\n",
       "      <th>Score</th>\n",
       "      <th>GDP per capita</th>\n",
       "      <th>Social support</th>\n",
       "      <th>Healthy life expectancy</th>\n",
       "      <th>Freedom to make life choices</th>\n",
       "      <th>Generosity</th>\n",
       "      <th>Perceptions of corruption</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>Denmark</td>\n",
       "      <td>7.600</td>\n",
       "      <td>1.383</td>\n",
       "      <td>1.573</td>\n",
       "      <td>0.996</td>\n",
       "      <td>0.592</td>\n",
       "      <td>0.252</td>\n",
       "      <td>0.410</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>Norway</td>\n",
       "      <td>7.554</td>\n",
       "      <td>1.488</td>\n",
       "      <td>1.582</td>\n",
       "      <td>1.028</td>\n",
       "      <td>0.603</td>\n",
       "      <td>0.271</td>\n",
       "      <td>0.341</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>Iceland</td>\n",
       "      <td>7.494</td>\n",
       "      <td>1.380</td>\n",
       "      <td>1.624</td>\n",
       "      <td>1.026</td>\n",
       "      <td>0.591</td>\n",
       "      <td>0.354</td>\n",
       "      <td>0.118</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Overall rank Country or region  Score  GDP per capita  Social support  \\\n",
       "1             2           Denmark  7.600           1.383           1.573   \n",
       "2             3            Norway  7.554           1.488           1.582   \n",
       "3             4           Iceland  7.494           1.380           1.624   \n",
       "\n",
       "   Healthy life expectancy  Freedom to make life choices  Generosity  \\\n",
       "1                    0.996                         0.592       0.252   \n",
       "2                    1.028                         0.603       0.271   \n",
       "3                    1.026                         0.591       0.354   \n",
       "\n",
       "   Perceptions of corruption  \n",
       "1                      0.410  \n",
       "2                      0.341  \n",
       "3                      0.118  "
      ]
     },
     "execution_count": 94,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.iloc[1:4]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "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>Country or region</th>\n",
       "      <th>Score</th>\n",
       "      <th>GDP per capita</th>\n",
       "      <th>Social support</th>\n",
       "      <th>Healthy life expectancy</th>\n",
       "      <th>Freedom to make life choices</th>\n",
       "      <th>Generosity</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Denmark</td>\n",
       "      <td>7.600</td>\n",
       "      <td>1.383</td>\n",
       "      <td>1.573</td>\n",
       "      <td>0.996</td>\n",
       "      <td>0.592</td>\n",
       "      <td>0.252</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Netherlands</td>\n",
       "      <td>7.488</td>\n",
       "      <td>1.396</td>\n",
       "      <td>1.522</td>\n",
       "      <td>0.999</td>\n",
       "      <td>0.557</td>\n",
       "      <td>0.322</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Sweden</td>\n",
       "      <td>7.343</td>\n",
       "      <td>1.387</td>\n",
       "      <td>1.487</td>\n",
       "      <td>1.009</td>\n",
       "      <td>0.574</td>\n",
       "      <td>0.267</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Canada</td>\n",
       "      <td>7.278</td>\n",
       "      <td>1.365</td>\n",
       "      <td>1.505</td>\n",
       "      <td>1.039</td>\n",
       "      <td>0.584</td>\n",
       "      <td>0.285</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Austria</td>\n",
       "      <td>7.246</td>\n",
       "      <td>1.376</td>\n",
       "      <td>1.475</td>\n",
       "      <td>1.016</td>\n",
       "      <td>0.532</td>\n",
       "      <td>0.244</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Country or region  Score  GDP per capita  Social support  \\\n",
       "1           Denmark  7.600           1.383           1.573   \n",
       "4       Netherlands  7.488           1.396           1.522   \n",
       "6            Sweden  7.343           1.387           1.487   \n",
       "8            Canada  7.278           1.365           1.505   \n",
       "9           Austria  7.246           1.376           1.475   \n",
       "\n",
       "   Healthy life expectancy  Freedom to make life choices  Generosity  \n",
       "1                    0.996                         0.592       0.252  \n",
       "4                    0.999                         0.557       0.322  \n",
       "6                    1.009                         0.574       0.267  \n",
       "8                    1.039                         0.584       0.285  \n",
       "9                    1.016                         0.532       0.244  "
      ]
     },
     "execution_count": 95,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.iloc[[1,4,6,8,9],1:8]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "5.407096153846153\n",
      "1.2715\n",
      "0    0.153\n",
      "dtype: float64\n",
      "0.09453783536745278\n"
     ]
    }
   ],
   "source": [
    "mean= df['Score'].mean()\n",
    "print(mean)\n",
    "median=df['Social support'].median()\n",
    "print(median)\n",
    "mode=df[\"Generosity\"].mode()\n",
    "print(mode)\n",
    "std= df[\"Perceptions of corruption\"].std()\n",
    "print(std)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Overall rank                          2\n",
       "Country or region               Denmark\n",
       "Score                               7.6\n",
       "GDP per capita                    1.383\n",
       "Social support                    1.573\n",
       "Healthy life expectancy           0.996\n",
       "Freedom to make life choices      0.592\n",
       "Generosity                        0.252\n",
       "Perceptions of corruption          0.41\n",
       "Name: 1, dtype: object"
      ]
     },
     "execution_count": 97,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.loc[1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "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>Overall rank</th>\n",
       "      <th>Score</th>\n",
       "      <th>GDP per capita</th>\n",
       "      <th>Social support</th>\n",
       "      <th>Healthy life expectancy</th>\n",
       "      <th>Freedom to make life choices</th>\n",
       "      <th>Generosity</th>\n",
       "      <th>Perceptions of corruption</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Country or region</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Finland</th>\n",
       "      <td>1</td>\n",
       "      <td>7.769</td>\n",
       "      <td>1.340</td>\n",
       "      <td>1.587</td>\n",
       "      <td>0.986</td>\n",
       "      <td>0.596</td>\n",
       "      <td>0.153</td>\n",
       "      <td>0.393</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Denmark</th>\n",
       "      <td>2</td>\n",
       "      <td>7.600</td>\n",
       "      <td>1.383</td>\n",
       "      <td>1.573</td>\n",
       "      <td>0.996</td>\n",
       "      <td>0.592</td>\n",
       "      <td>0.252</td>\n",
       "      <td>0.410</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Norway</th>\n",
       "      <td>3</td>\n",
       "      <td>7.554</td>\n",
       "      <td>1.488</td>\n",
       "      <td>1.582</td>\n",
       "      <td>1.028</td>\n",
       "      <td>0.603</td>\n",
       "      <td>0.271</td>\n",
       "      <td>0.341</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Iceland</th>\n",
       "      <td>4</td>\n",
       "      <td>7.494</td>\n",
       "      <td>1.380</td>\n",
       "      <td>1.624</td>\n",
       "      <td>1.026</td>\n",
       "      <td>0.591</td>\n",
       "      <td>0.354</td>\n",
       "      <td>0.118</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Netherlands</th>\n",
       "      <td>5</td>\n",
       "      <td>7.488</td>\n",
       "      <td>1.396</td>\n",
       "      <td>1.522</td>\n",
       "      <td>0.999</td>\n",
       "      <td>0.557</td>\n",
       "      <td>0.322</td>\n",
       "      <td>0.298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Switzerland</th>\n",
       "      <td>6</td>\n",
       "      <td>7.480</td>\n",
       "      <td>1.452</td>\n",
       "      <td>1.526</td>\n",
       "      <td>1.052</td>\n",
       "      <td>0.572</td>\n",
       "      <td>0.263</td>\n",
       "      <td>0.343</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sweden</th>\n",
       "      <td>7</td>\n",
       "      <td>7.343</td>\n",
       "      <td>1.387</td>\n",
       "      <td>1.487</td>\n",
       "      <td>1.009</td>\n",
       "      <td>0.574</td>\n",
       "      <td>0.267</td>\n",
       "      <td>0.373</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>New Zealand</th>\n",
       "      <td>8</td>\n",
       "      <td>7.307</td>\n",
       "      <td>1.303</td>\n",
       "      <td>1.557</td>\n",
       "      <td>1.026</td>\n",
       "      <td>0.585</td>\n",
       "      <td>0.330</td>\n",
       "      <td>0.380</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Canada</th>\n",
       "      <td>9</td>\n",
       "      <td>7.278</td>\n",
       "      <td>1.365</td>\n",
       "      <td>1.505</td>\n",
       "      <td>1.039</td>\n",
       "      <td>0.584</td>\n",
       "      <td>0.285</td>\n",
       "      <td>0.308</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Austria</th>\n",
       "      <td>10</td>\n",
       "      <td>7.246</td>\n",
       "      <td>1.376</td>\n",
       "      <td>1.475</td>\n",
       "      <td>1.016</td>\n",
       "      <td>0.532</td>\n",
       "      <td>0.244</td>\n",
       "      <td>0.226</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   Overall rank  Score  GDP per capita  Social support  \\\n",
       "Country or region                                                        \n",
       "Finland                       1  7.769           1.340           1.587   \n",
       "Denmark                       2  7.600           1.383           1.573   \n",
       "Norway                        3  7.554           1.488           1.582   \n",
       "Iceland                       4  7.494           1.380           1.624   \n",
       "Netherlands                   5  7.488           1.396           1.522   \n",
       "Switzerland                   6  7.480           1.452           1.526   \n",
       "Sweden                        7  7.343           1.387           1.487   \n",
       "New Zealand                   8  7.307           1.303           1.557   \n",
       "Canada                        9  7.278           1.365           1.505   \n",
       "Austria                      10  7.246           1.376           1.475   \n",
       "\n",
       "                   Healthy life expectancy  Freedom to make life choices  \\\n",
       "Country or region                                                          \n",
       "Finland                              0.986                         0.596   \n",
       "Denmark                              0.996                         0.592   \n",
       "Norway                               1.028                         0.603   \n",
       "Iceland                              1.026                         0.591   \n",
       "Netherlands                          0.999                         0.557   \n",
       "Switzerland                          1.052                         0.572   \n",
       "Sweden                               1.009                         0.574   \n",
       "New Zealand                          1.026                         0.585   \n",
       "Canada                               1.039                         0.584   \n",
       "Austria                              1.016                         0.532   \n",
       "\n",
       "                   Generosity  Perceptions of corruption  \n",
       "Country or region                                         \n",
       "Finland                 0.153                      0.393  \n",
       "Denmark                 0.252                      0.410  \n",
       "Norway                  0.271                      0.341  \n",
       "Iceland                 0.354                      0.118  \n",
       "Netherlands             0.322                      0.298  \n",
       "Switzerland             0.263                      0.343  \n",
       "Sweden                  0.267                      0.373  \n",
       "New Zealand             0.330                      0.380  \n",
       "Canada                  0.285                      0.308  \n",
       "Austria                 0.244                      0.226  "
      ]
     },
     "execution_count": 98,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data= pd.read_csv(\"2019.csv\", index_col=\"Country or region\")\n",
    "data.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Overall rank                    9.000\n",
       "Score                           7.278\n",
       "GDP per capita                  1.365\n",
       "Social support                  1.505\n",
       "Healthy life expectancy         1.039\n",
       "Freedom to make life choices    0.584\n",
       "Generosity                      0.285\n",
       "Perceptions of corruption       0.308\n",
       "Name: Canada, dtype: float64"
      ]
     },
     "execution_count": 99,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.loc[\"Canada\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "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>Overall rank</th>\n",
       "      <th>Score</th>\n",
       "      <th>GDP per capita</th>\n",
       "      <th>Social support</th>\n",
       "      <th>Healthy life expectancy</th>\n",
       "      <th>Freedom to make life choices</th>\n",
       "      <th>Generosity</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Country or region</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Denmark</th>\n",
       "      <td>2</td>\n",
       "      <td>7.600</td>\n",
       "      <td>1.383</td>\n",
       "      <td>1.573</td>\n",
       "      <td>0.996</td>\n",
       "      <td>0.592</td>\n",
       "      <td>0.252</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Norway</th>\n",
       "      <td>3</td>\n",
       "      <td>7.554</td>\n",
       "      <td>1.488</td>\n",
       "      <td>1.582</td>\n",
       "      <td>1.028</td>\n",
       "      <td>0.603</td>\n",
       "      <td>0.271</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Iceland</th>\n",
       "      <td>4</td>\n",
       "      <td>7.494</td>\n",
       "      <td>1.380</td>\n",
       "      <td>1.624</td>\n",
       "      <td>1.026</td>\n",
       "      <td>0.591</td>\n",
       "      <td>0.354</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   Overall rank  Score  GDP per capita  Social support  \\\n",
       "Country or region                                                        \n",
       "Denmark                       2  7.600           1.383           1.573   \n",
       "Norway                        3  7.554           1.488           1.582   \n",
       "Iceland                       4  7.494           1.380           1.624   \n",
       "\n",
       "                   Healthy life expectancy  Freedom to make life choices  \\\n",
       "Country or region                                                          \n",
       "Denmark                              0.996                         0.592   \n",
       "Norway                               1.028                         0.603   \n",
       "Iceland                              1.026                         0.591   \n",
       "\n",
       "                   Generosity  \n",
       "Country or region              \n",
       "Denmark                 0.252  \n",
       "Norway                  0.271  \n",
       "Iceland                 0.354  "
      ]
     },
     "execution_count": 100,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.iloc[1:4,:-1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 101,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXsAAAD4CAYAAAANbUbJAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjMuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8vihELAAAACXBIWXMAAAsTAAALEwEAmpwYAABXgUlEQVR4nO3dd3wUdfrA8c93eyottEgJIDWFJCShKb0pAopiQ6XoeZwetp8K6GHn5JQTxYaogAUVBSlnuUO6INIE6Z0AAYQU0rN1vr8/drMmJCEhhU3I9+0LszszO/PsZPPM7JTnEVJKFEVRlKubztcBKIqiKFVPJXtFUZRaQCV7RVGUWkAle0VRlFpAJXtFUZRawODrAABCQkJkWFiYr8NQFEWpUbZv354ipWxYlmmrRbIPCwtj27Ztvg5DURSlRhFCnCjrtKUexhFCzBVCnBdC7Llo+EQhxEEhxF4hxGsFhk8RQhzxjBt8eaEriqIoVaEse/bzgXeAT/MHCCH6AiOAKCmlTQjRyDO8E3AnEA6EAiuFEO2klK7KDlxRFEUpu1L37KWU64G0iwb/DZgupbR5pjnvGT4C+EpKaZNSHgeOAAmVGK+iKIpSDuU9Zt8OuF4IMQ2wAk9KKbcC1wC/FpguyTOsCCHEg8CDAC1atCgy3uFwkJSUhNVqLWeIilK9WCwWmjVrhtFo9HUoSi1U3mRvAOoB3YB44GshRGtAFDNtscV3pJRzgDkAcXFxRaZJSkoiKCiIsLAwhChutopSc0gpSU1NJSkpiVatWvk6HKUWKu919knAt9JtC6ABIZ7hzQtM1ww4U54FWK1WGjRooBK9clUQQtCgQQP1TVXxmfIm+6VAPwAhRDvABKQAy4E7hRBmIUQroC2wpbzBqUSvXE3U51nxpVIP4wghvgT6ACFCiCTgeWAuMNdzOaYdGCPdtZL3CiG+BvYBTuBhdSWOoihKUVJKFm49RUigmQGdGlf58spyNc5dUsqmUkqjlLKZlPJjKaVdSnmPlDJCShkrpVxdYPppUso2Usr2Usofqzb8qpWUlMSIESNo27Ytbdq04dFHH8Vut1f5cgMDAwFITEwkIiKiSpYxduxYFi1aVCXzVhTl0hJTcrj7w81M/nY3S3eeviLLVLVxSiClZOTIkdx8880cPnyYQ4cOkZ2dzbPPPlvheTudzkqI0M3lUl+cFKWmcLo0Plh3lMFvrmfP6Qz+eUsks+6MuSLLVsm+BKtXr8ZisTBu3DgA9Ho9M2fOZO7cueTm5tK1a1f27t3rnb5Pnz5s376dnJwcxo8fT3x8PDExMSxbtgyA+fPnM2rUKIYNG8agQYPIzs6mf//+xMbGEhkZ6Z2uLNauXUvfvn25++67iYyMBODmm2+mS5cuhIeHM2fOHO+0gYGBPPvss3Tu3Jlu3bpx7ty5IvObOnUqY8eORdO0cq0rRVFKt+9MJre89wuv/niA69s25KcnenN31xbodFfmXE61qI1Tmhf/s5d9ZzIrdZ6dQoN5flh4ieP37t1Lly5dCg0LDg6mRYsWHDlyhDvvvJOvv/6aF198kbNnz3LmzBm6dOnCM888Q79+/Zg7dy7p6ekkJCQwYMAAADZt2sSuXbuoX78+TqeTJUuWEBwcTEpKCt26dWP48OFlPom3ZcsW9uzZ472Mb+7cudSvX5+8vDzi4+O59dZbadCgATk5OXTr1o1p06bx9NNP8+GHH/KPf/zDO5+nn36ajIwM5s2bp04gKkoVsDpcvL36MB+sO0ZdfyPv3B3D0MimV/zvTe3Zl0BKWewvI3/47bffzjfffAPA119/zahRowBYsWIF06dPJzo6mj59+mC1Wjl58iQAAwcOpH79+t75PPPMM0RFRTFgwABOnz5d7F53SRISEgpdrz1r1izv3vupU6c4fPgwACaTiZtuugmALl26kJiY6H3Nyy+/THp6Oh988IFK9IpSBbYcT+PGWT/z7pqjDI8O5afHe3NTVKhP/t5qxJ79pfbAq0p4eDiLFy8uNCwzM5NTp07Rpk0b/P39adCgAbt27WLhwoV88MEHgDuJL168mPbt2xd67ebNmwkICPA+X7BgAcnJyWzfvh2j0UhYWNhlXYNdcF5r165l5cqVbNq0CX9/f+9GBsBoNHo/WHq9vtD5gvj4eLZv305aWpp3I6QoSsVlWR289t+DfPbrCa6p68cn4xPo3a5MlYirjNqzL0H//v3Jzc3l00/d9d9cLhf/93//x9ixY/H39wfgzjvv5LXXXiMjI8N77Hzw4MG8/fbbuK9EhR07dhQ7/4yMDBo1aoTRaGTNmjWcOFHmSqXFzqtevXr4+/tz4MABfv3119JfBAwZMoTJkyczdOhQsrKyyr18RVH+tPrAOQbNXM/nm08wrmcYKx7v5fNEDyrZl0gIwZIlS/jmm29o27Yt7dq1w2Kx8M9//tM7zW233cZXX33F7bff7h02depUHA4HUVFRREREMHXq1GLnP3r0aLZt20ZcXBwLFiygQ4cO5Y51yJAhOJ1OoqKimDp1Kt26dSvza0eNGsVf/vIXhg8fTl5eXrljUJTaLjXbxiNf7mD8/G0Emg0s/lsPnh8WToC5ehxAEfl7oL4UFxcnL25esn//fjp27OijiBSlaqjP9dVHSsmynWd48T97ybY5eajPtTzUtw1mg77Kly2E2C6ljCvLtNVjk6MoilIDnU7P49klu1l7MJno5nV57bYo2jUO8nVYxVLJXlEU5TJpmuSzX0/w2n8PoEl47qZOjOkRhv4KXTNfHirZK4qiXIYj57OYtHg3209c4Pq2Ifzzlkia1/f3dVilUsleURSlDOxOd6mDt1cfwc+kZ8aoztwae02NuUdFJXtFUZRS/H4qnUmLd3HgjyyGRjXlhWHhNAwy+zqsy6KSvaIoSgly7U7eWHGIuRuP0zDIzIf3xTHwCpQjrgoq2Zdi2rRpfPHFF+j1enQ6HR988AFdu3b1dViKolSxjUdSmPztLk6l5XFXQgum3NiBYEvN7R+skv0lbNq0ie+++47ffvsNs9lMSkpKherZO51ODAa1yhWlOsvIdTDth318vS2JsAb+fPVgN7q1buDrsCqs1DtohRBzhRDnPV2pLh73pBBCCiFCCgybIoQ4IoQ4KIQYXNkBX0lnz54lJCQEs9l9bC4kJITQ0FC2bt1Kjx496Ny5MwkJCWRlZWG1Whk3bhyRkZHExMSwZs0aoGhp45JKICuK4ns/7j7LgJnrWPzbaSb0bsN/H+t1VSR6KNue/XzgHeDTggOFEM2BgcDJAsM6AXcC4UAosFII0a7CrQl/nAx/7K7QLIpoEgk3TL/kJIMGDeKll16iXbt2DBgwgDvuuIPu3btzxx13sHDhQuLj48nMzMTPz4+33noLgN27d3PgwAEGDRrEoUOHgMKljUsqgVywsJmiKFfW+UwrU5ft4X97z9GpaTDzxsYTcU0dX4dVqcrSlnA9kFbMqJnA00DBegsjgK+klDYp5XHgCJBQGYH6QmBgINu3b2fOnDk0bNiQO+64gw8++ICmTZsSHx8PuGvcGwwGNmzYwL333gtAhw4daNmypTfZFyxtfKkSyIqiXFnuPrAn6f/GOtYcTObpIe1Z9veeV12ih3IesxdCDAdOSyl/v+ga02uAgiUXkzzDKqaUPfCqpNfr6dOnD3369CEyMpJ33323xDr3JSm4115SCWRFUa6sE6k5TPl2N78cTSWhVX2mj4ykdcNAX4dVZS676qUQwh94FniuuNHFDCs2CwohHhRCbBNCbEtOTr7cMK6IgwcPepuAAOzcuZOOHTty5swZtm7dCkBWVhZOp5NevXqxYMECAA4dOsTJkyeLTehlLYGsKErVcLo05qx394HdlZTBtFsi+Oov3a7qRA/l27NvA7QC8vfqmwG/CSEScO/JNy8wbTPgTHEzkVLOAeaAu+plOeKoctnZ2UycOJH09HQMBgPXXnstc+bMYdy4cUycOJG8vDz8/PxYuXIlDz30EBMmTCAyMhKDwcD8+fO9J3YLmjp1Ko899hhRUVFIKQkLC+O7777zwbtTlNpn/9lMJi3exa6kDAZ0bMTLN0fQtI6fr8O6IspU4lgIEQZ8J6WMKGZcIhAnpUwRQoQDX+A+Th8KrALalnaCVpU4VmoL9bn2DavDxTurjzB73VHq+Bl5YXg4N0Vd+T6wla1SSxwLIb4E+gAhQogk4Hkp5cfFTSul3CuE+BrYBziBhyt8JY6iKEoFbE1MY/LiXRxNzmFk7DVMHdqJegEmX4d1xZWa7KWUd5UyPuyi59OAaRULS1EUpWIu7gM7f1w8fdo38nVYPqNu51QU5aqz5sB5nl2ym7OZVsb2COOpwe2rTXtAX6nd715RlKtKaraNl77bx7KdZ2jbKJBFE3rQpWU9X4dVLahkryhKjZffB/al7/aRZXXwaP+2V6wPbE2hkr2iKDXaGU8f2DUHk+ncvC6v3RpF+ybVsw+sL132TVW1yblz57j77rtp3bo1Xbp0oXv37ixZsgSAtWvXUqdOHWJiYmjfvj29evUqdL38Cy+8wDXXXEN0dDQREREsX77cV2/jst14442kp6eTnp7Oe++95+twFKVYmib5dFMiA99Yx6/H0ph6Uye+/VsPlehLoPbsSyCl5Oabb2bMmDF88cUXAJw4caJQ0r7++uu9CX7nzp3cfPPN+Pn50b9/fwAef/xxnnzySfbv38/111/P+fPn0ekqZ/sqpURKWWnzK+iHH34AIDExkffee4+HHnqo0pehKBVx5Hw2kxfvYtuJC1x3bQivjqwZfWB9Se3Zl2D16tWYTCYmTJjgHdayZUsmTpxY7PTR0dE899xzvPPOO0XGdezYEYPBQEpKSqHhL7zwAvfeey/9+vWjbdu2fPjhh95xr7/+OvHx8URFRfH8888D7uTbsWNHHnroIWJjYzl16lSh+RVXejkxMZHrr7+e2NhYYmNj+eWXXwD3N5NevXpxyy230KlTJyZMmICmaQCEhYWRkpLC5MmTOXr0KNHR0Tz11FNkZ2fTv39/YmNjiYyMVOWZlSvO4dJ4Z/VhbnzrZw6fz+b126L47P4ElejLoEbs2f9ry784kHagUufZoX4HJiVMKnH83r17iY2Nvax5xsbG8vrrrxcZvnnzZnQ6HQ0bNiwybteuXfz666/k5OQQExPD0KFD2bNnD4cPH2bLli1IKRk+fDjr16+nRYsWHDx4kHnz5hU5vGK324stvdyoUSN++uknLBYLhw8f5q677iL/buUtW7awb98+WrZsyZAhQ/j222+57bbbvPOcPn06e/bsYefOnYC7+cqSJUsIDg4mJSWFbt26MXz48Bp/F6JSM+xKSufpRZ4+sJFNeX54JxoFWXwdVo1RI5J9dfDwww+zYcMGTCaTtwjaxS4uPTFz5kw+//xzgoKCWLhwYbFJccSIEfj5+eHn50ffvn3ZsmULGzZsYMWKFcTExADuGj2HDx+mRYsWtGzZkm7duhWZz8GDB4uUXgbIycnh73//Ozt37kSv13vLLgMkJCTQunVrAO666y42bNhQKNkX9/6eeeYZ1q9fj06n4/Tp05w7d44mTZpcatUpSoXk2V288dNBPt7g7gM7594uDApXn7nLVSOS/aX2wKtKeHg4ixcv9j5/9913SUlJIS6u5DIUO3bsKFT3JP+Y/aVcvAEQQiClZMqUKfz1r38tNC4xMbHEJidSymI3JjNnzqRx48b8/vvvaJqGxfLnnlBxy76UBQsWkJyczPbt2zEajYSFhWG1Wi/5GkWpiF+OpDD5292cTMvlroTmTL6hI3X8am4fWF9Sx+xL0K9fP6xWK++//753WG5ubonT79q1i5dffpmHH374spazbNkyrFYrqamprF27lvj4eAYPHszcuXPJzs4G4PTp05w/f/6S8+nQoUOxpZczMjJo2rQpOp2Ozz77DJfrz1JFW7Zs4fjx42iaxsKFC7nuuusKzTMoKIisrCzv84yMDBo1aoTRaGTNmjWcOHHist6ropRVRp6DSYt2cfdHm9EJ+OIvXXl1ZJRK9BVQI/bsfUEIwdKlS3n88cd57bXXaNiwIQEBAfzrX//yTvPzzz8TExNDbm4ujRo1YtasWd4rccoqISGBoUOHcvLkSaZOnUpoaCihoaHs37+f7t27A+6OWZ9//jl6fck3iJhMJhYuXFhs6eVbb72Vb775hr59+xb6ZtC9e3cmT57M7t27vSdrC2rQoAE9e/YkIiKCG264gUmTJjFs2DDi4uKIjo6mQ4cOl/VeFaUs/rvnLFOX7SUtx85fe7fm8QHtsBjVzVEVVaYSx1WttpY4fuGFFwgMDCz1UE9VWLt2LTNmzFC19K+w2vC5Lq/zWVaeX7aXH/f8Qcemwbx2axSRza6+9oCVqVJLHCuKolQlKSXfbEvile/3YXVqPDW4PQ/2ao1Rr44yVyaV7H3ohRde8Nmy8/vqKoovnUzNZcqSXWw8kkpCWH1evTWSNld5e0BfUcleUZQrzqVJ5m08zowVBzHodLxycwR3J7RAp1P3bFQVlewVRbmi9p/NZPLiXfyelEH/Do145Zba0wfWl0o9KCaEmCuEOC+E2FNg2OtCiANCiF1CiCVCiLoFxk0RQhwRQhwUQgyuorgVRalhbE4X/15xkGFvbyDpQh6z7orhozFxKtFfIWU5AzIfGHLRsJ+ACCllFHAImAIghOgE3AmEe17znhBCXTOlKLXc9hNpDJ21gbdXH2F451B+eqI3wzuHqlIbV1CpyV5KuR5Iu2jYCiml0/P0V6CZ5/EI4CsppU1KeRw4AiRUYrxX1LRp0wgPDycqKoro6Gg2b9582fPYtm0bjzzyyCWnWbt2LTfddFN5w6xyqtSxUl7ZNifPL9vDbbM3kWd3MX9cPG/cEU39Wtjw29cq45j9eGCh5/E1uJN/viTPsCKEEA8CDwK0aNGiEsKoXJs2beK7777jt99+w2w2k5KSgt1uv+z5xMXFXbLEQnXncrm8yV6VOlYux5qD53n2W3cf2DHdw3hycHsCa3kfWF+q0IWsQohnASewIH9QMZMVe9eWlHKOlDJOShlXXDVIXzt79iwhISGYzWYAQkJCCA0NBWDVqlXExMQQGRnJ+PHjsdlsQPElhgvutW/ZsoUePXoQExNDjx49OHjw4CVj2Lt3LwkJCURHRxMVFcXhw4dJTEwkIiLCO82MGTO8l3D26dOHxx57jB49ehAREcGWLVuAkkspSyl56qmniIiIIDIykoUL3dvstWvX0rdvX+6++24iIyOLlDpWlEtJy7Hz2Fc7GDdvK/5mA4smdOeF4eEq0ftYude+EGIMcBPQX/55G24S0LzAZM2AM+UPz+2Pf/4T2/7KLXFs7tiBJs88U+L4QYMG8dJLL9GuXTsGDBjAHXfcQe/evbFarYwdO5ZVq1bRrl077rvvPt5//30eeuihYksMF9ShQwfWr1+PwWBg5cqVPPPMM4WKrV1s9uzZPProo4wePRq73Y7L5eLcuXOXfF85OTn88ssvrF+/nvHjx7Nnj/u8enGllDdt2sTOnTv5/fffSUlJIT4+nl69egHuDdOePXto1aoViYmJhUodK0pxpJQs//0ML/5nH5l5Dh7pdy0P97tW9YGtJsqV7IUQQ4BJQG8pZcHqYMuBL4QQbwChQFtgS4Wj9IHAwEC2b9/Ozz//zJo1a7jjjjuYPn06MTExtGrVinbt2gEwZswY3n33Xfr3719sieGCMjIyGDNmDIcPH0YIgcPhuGQM3bt3Z9q0aSQlJTFy5Ejatm1batx33XUXAL169SIzM5P09HSg5FLKd911F3q9nsaNG9O7d2+2bt1KcHAwCQkJtGrV6nJWmVKLnUnP4x9L97D6wHk6N6vDv/7SlQ5Niv4NKL5TarIXQnwJ9AFChBBJwPO4r74xAz95zqb/KqWcIKXcK4T4GtiH+/DOw1JKV/FzLrtL7YFXJb1e773TNDIykk8++YTo6Ohipy2pxHBBU6dOpW/fvixZsoTExMRS72C9++676dq1K99//z2DBw/mo48+ol27dt6OUkCREsMllS0uqZRySUoqpawoBWmaZMGWk/zrxwM4NY1/DO3IuJ6t0Kubo6qdslyNc5eUsqmU0iilbCal/FhKea2UsrmUMtrzb0KB6adJKdtIKdtLKX+s2vCrzsGDBzl8+LD3+c6dO2nZsiUdOnQgMTGRI0eOAPDZZ5/Ru3fvEksMF5SRkcE117jPV8+fP7/UGI4dO0br1q155JFHGD58OLt27aJx48acP3+e1NRUbDZbkUJm+cfdN2zYQJ06dahTx11IqrhSyr169WLhwoW4XC6Sk5NZv349CQlFL566uNSxogAcTc7mzjm/MnXpHqKb12XFY7154PrWKtFXU+qMSQmys7OZOHEi6enpGAwGrr32WubMmYPFYmHevHmMGjUKp9NJfHw8EyZMKLHEcEFPP/00Y8aM4Y033qBfv36lxrBw4UI+//xzjEYjTZo04bnnnsNoNPLcc8/RtWtXWrVqVaTMcL169ejRoweZmZnMnTvXO7y4Usq33HILmzZtonPnzggheO2112jSpAkHDhQ+P3JxqePiWi8qtYfDpTFn/THeWnUYi0HHa7dFMapLM3XNfDWnShxfRfr06cOMGTOKXOrpy1LKSmE1/XO9KymdSYt3s/9sJjdGNuGF4eGqD6wPqRLHiqJUqjy7izdXHuLDn48REmhm9j1dGBKh+sDWJCrZX0XWrl1b7HBfllJWar5fjqYw5dvdnEjN5c745ky5UfWBrYlUslcUpVgZeQ5e/WE/X209RcsG/nzxl670aBPi67CUclLJXlGUIv639w+mLt1DSraNB3u5+8D6mdTNUTWZSvaKonidz7LywvK9/LD7Dzo0CeKjMXFENavr67CUSqCSvaIo7j6w25OY9v1+8hwu1Qf2KqR+k5cQGFi4F+b8+fP5+9//Xq55FSyItnbtWn755RfvuLFjx7Jo0aJyzbdgYbSC5ZRtNhsDBgwgOjrae6NVdfXmm2+Sm5tb+oRKlTiZmsu9H2/h6UW7aNc4kB8fvZ6H+16rEv1VRu3Z+8DatWsJDAykR48elTrfguWUd+zYgcPhqBHFy958803uuece/P39fR1KrZLfB/bfKw6hE/DyiHBGd22p+sBepdSmu5ySk5O59dZbiY+PJz4+no0bNwKllzFOTExk9uzZzJw5k+joaH7++WcA1q9fT48ePWjdurV3L//ee+9l2bJl3teOHj2a5cuXlxhT/reH8+fPc88997Bz506io6M5evQo27dvp3fv3nTp0oXBgwdz9uzZMr+nESNG8OmnnwLwwQcfMHr0aKDkkso5OTmMHz+e+Ph4YmJivO/B5XLx5JNPEhkZSVRUFG+//TazZs3izJkz9O3bl759+wLwt7/9jbi4OMLDw3n++ee98YWFhfH8888TGxtLZGSk907f7Oxsxo0b553v4sWL+fjjj3n88ce9r/3www954oknLv1LrUUO/JHJyPd/4ZXv99O9TQN+eqI393YPU4n+KlYj9ux//voQKaeyK3WeIc0Duf72dpecJi8vr1Dhs7S0NIYPHw7Ao48+yuOPP851113HyZMnGTx4MPv37y+1jHFYWBgTJkwodEfrxx9/zNmzZ9mwYQMHDhxg+PDh3HbbbTzwwAPMnDmTESNGkJGRwS+//MInn3xS6ntr1KgRH330ETNmzOC7777D4XB4NxwNGzZk4cKFPPvss4XKKVzqPc2ZM4eePXvSqlUr/v3vf/Prr3/2pymupPK0adPo168fc+fOJT09nYSEBAYMGMCnn37K8ePH2bFjBwaDgbS0NOrXr88bb7zBmjVrCAlxX9Y3bdo06tevj8vlon///uzatYuoqCj37y0khN9++4333nuPGTNm8NFHH/Hyyy9Tp04ddu/eDcCFCxcwmUxERUXx2muvYTQamTdvHh988EGp6+5qZ3O6eHf1Ed5be5RgPyNv3Rmt2gPWEjUi2fuKn59focMg8+fPJ7+sw8qVK9m3b593XGZmJllZWZddxjjfzTffjE6no1OnTt6a9b179+bhhx/m/PnzfPvtt9x6660YDJf/Kzt48CB79uxh4MCBgHsPu2nTpkWmK+k9NW7cmJdeeslbsbN+/freaYorqbxixQqWL1/OjBkzAHdlzpMnT7Jy5UomTJjgfQ8F51PQ119/zZw5c3A6nZw9e5Z9+/Z5k/3IkSMB6NKlC99++6037q+++sr7+nr16gHQr18/vvvuOzp27IjD4SAyMvKy193VZPuJNCYt3s2R89ncHB3Kc8PCVXvAWqRGJPvS9sB9QdM0Nm3aVKRBycSJEy+rjHG+/I5YQKHSw/feey8LFizgq6++KrInXlZSSsLDw9m0adMlpyvpPQHs3r2bBg0acOZM4V40JZVOXrx4Me3bty8SR2l7kMePH2fGjBls3bqVevXqMXbs2EJlnPPXk16v91YVLWm+DzzwAP/85z/p0KED48aNu+Ryr2Y5Niev/+8gn2xKpGmwhXnj4unbvpGvw1KuMHXMvpwGDRrEO++8432e/w2gLGWML6dk8NixY3nzzTcBCA8PL1es7du3Jzk52ZvsHQ4He/fuLTJdSe9py5Yt/Pjjj+zYsYMZM2Zw/Phx7zTFlVQePHgwb7/9tnejtWPHDu/8Z8+e7U3SaWnuPvYF10dmZiYBAQHUqVOHc+fO8eOPpVfJvjjuCxcuANC1a1dOnTrFF1984f0GUtusPXieQTPX88mmRO7r1pIVT/RWib6WUsm+nGbNmsW2bduIioqiU6dOzJ49G3CXMZ4yZQo9e/bE5Sq+b8uwYcNYsmRJoRO0JWncuDEdO3as0J6pyWRi0aJFTJo0ic6dOxMdHV3o0s9LvSebzcZf/vIX5s6dS2hoKP/+978ZP368N5Hnl1SeMGECH3/8MeBu0uJwOIiKiiIiIoKpU6cC7j3tFi1aEBUVRefOnfniiy8AePDBB7nhhhvo27cvnTt3JiYmhvDwcMaPH0/Pnj1LfX//+Mc/uHDhAhEREXTu3Jk1a9Z4x91+++307NnTe2intriQY+eJhTsZO28rFqOORRO68+KICNUHtjaTUl7yHzAXOA/sKTCsPvATcNjzs16BcVOAI8BBYHBp85dS0qVLF3mxffv2FRlWG+Xk5MjWrVvL9PR0X4dSRO/eveXWrVt9HcYlDR06VK5cudLXYXhV9eda0zS5bOdpGfvSCtlmyvdyxv8OyDy7s0qXqfgOsE2WIcdKKcu0Zz8fGHLRsMnAKillW2CV5zlCiE7AnUC45zXvCSFUQY1yWrlyJR06dGDixInejlNK2aSnp9OuXTv8/Pzo37+/r8O5Is5m5PHAJ9t45MsdNKvnx38mXsf/DWqPxaj+BJUynKCVUq4XQoRdNHgE7r60AJ8Aa3E3IB8BfCWltAHHhRBHgATg0mcGlWINGDCAkydP+jqMEpVUUrk6qFu3LocOHfJ1GFeE6gOrlEV5D+A1llKeBZBSnhVC5J/xuQb4tcB0SZ5hRQghHgQeBGjRokU5w1CU2u1YcjaTF+9mS2IaPdo04NWRkbRsoJrFK0VV9tma4nYliu17KKWcA8wBd1vCSo5DUa5qRfrA3hrFqDjVB1YpWXmT/TkhRFPPXn1T3Cdwwb0n37zAdM2AM0VerShKue1OymDS4l3sO5vJDRFNeHF4OI2CVR9Y5dLKm+yXA2OA6Z6fywoM/0II8QYQCrQFtlQ0SEVRwOpwMXPlIT76+Tj1A0zMvieWIRFF74RWlOKUejWOEOJL3CdY2wshkoQQ9+NO8gOFEIeBgZ7nSCn3Al8D+4D/Ag9LKYu/2LwG0Ov1REdHe/8lJiZW6vwrUjL5Uq50yeCCZZYvV8F1MHv2bG/BtQMHDhAdHU1MTAxHjx4td2zlWcc33ngj6enp5V5mVdh0NJUhb67ng3XHuC22GSsf760SvXJZynI1Tkm3HhZ7PZuUchowrSJBVRcX18YpyHvtqq763ZdWU0sGT5gwwft46dKljBgxghdffPGKx/HDDz9c8WWWJCPPwfQf9/PlllO0qO/PFw90pce1qg+scvmqX6aqxhITE+nYsSMPPfQQsbGxnDp1itdff534+HiioqIKleP9/PPPSUhIIDo6mr/+9a/eu2nnzZtHu3bt6N27t7eEMMCJEyfo378/UVFR9O/f33vJ5dixY/nb3/5G3759ad26NevWrWP8+PF07NiRsWPHFomxuJLBX375JZGRkURERDBp0qRi31tYWBjPPPMM3bt3Jy4ujt9++43BgwfTpk0b793B2dnZ9O/f31tiuGD55XzHjh0jJiaGrVu3cvToUYYMGUKXLl24/vrrvSWJS/LCCy8wY8YMfvjhB958800++ugj73soaX0WtHXrVnr06EHnzp1JSEjwlmA4c+YMQ4YMoW3btjz99NPe6UtaL2FhYaSkpADw6aefeu/4vffee4GSS0GvW7fO+y0wJiamzCUxSvK/vX8w8I11LNx6igd7teZ/j/VSiV4ptxpx7/Sa+XM4f+JYpc6zUcvW9B374CWnKVjiuFWrVsycOZODBw8yb9483nvvPVasWMHhw4fZsmULUkqGDx/O+vXrvWWEN27ciNFo5KGHHmLBggUMHDiQ559/nu3bt1OnTh369u1LTEwMAH//+9+57777GDNmDHPnzuWRRx5h6dKlgLvWy+rVq1m+fDnDhg1j48aNfPTRR8THx3tr1ud75JFHCpUMPnPmDJMmTWL79u3Uq1ePQYMGsXTpUm6++eYi77d58+Zs2rSJxx9/nLFjx7Jx40asVivh4eFMmDABi8XCkiVLCA4OJiUlhW7dunlLPoO7uuadd97JvHnziI6Opn///syePZu2bduyefNmHnroIVavXl3q7+bGG28sVAZ6//79xa7P++67z/sau93OHXfcwcKFC4mPjyczM9Nb0G3nzp3s2LEDs9lM+/btmThxInq9vtT1snfvXqZNm8bGjRsJCQnx1vIpqRT0jBkzePfdd+nZsyfZ2dlYLOU7aZqcZeOF5Xv5fvdZOjQJ4sP74ujcvG655qUo+WpEsveViw/jJCYm0rJlS7p16wbAihUrWLFihTdhZ2dnc/jwYXbt2sX27duJj48H3BuNRo0asXnzZvr06UPDhg0BuOOOO7w3/mzatMlbsvfee+8ttAc6bNgwhBBERkbSuHFjb6ne8PBwEhMTCyX7i23durXQMkePHs369euLTfb5iTsyMpLs7GyCgoIICgrCYrGQnp5OQEAAzzzzDOvXr0en03H69GlvOebk5GRGjBjB4sWLCQ8PJzs7m19++YVRo0Z552+z2cq24i+yatWqYtdnQQcPHqRp06beaYKDg73j+vfv770DuVOnTpw4cYLU1NRS18vq1au57bbbvHX280syl1QKumfPnjzxxBOMHj2akSNH0qxZs8t6n1JKFm1P4pXv95Nnd/HkoHb8tXcb1R5QqRQ1ItmXtgd+JQUE/HnDipSSKVOm8Ne//rXQNG+//TZjxozh1VdfLTR86dKlZb4OuuB0+WV9dTpdoVLIOp3OW0GyJFKW/RaG0pazYMECkpOT2b59O0ajkbCwMG/54Tp16tC8eXM2btxIeHg4mqZRt27dSmmLKKUsdn1ePE1J67bge8kvjVyW9VLSPEsqBT158mSGDh3KDz/8QLdu3bzlLsriVFouzyzZzc+HU4hrWY/pt0ZxbaPA0l+oKGWkdhkqYPDgwcydO5fsbHcXrdOnT3P+/Hn69+/PokWLOH/efftBWloaJ06coGvXrqxdu5bU1FQcDgfffPONd149evTwNuBYsGAB1113XbnjKlgyuGvXrqxbt46UlBRcLhdffvklvXv3Ltd8MzIyaNSoEUajkTVr1nDixAnvOJPJxNKlS/n000/54osvCA4OplWrVt73KKXk999/L9dyS1qfBXXo0IEzZ86wdetWALKysi65ISzLeunfvz9ff/01qamp3uVCyaWgjx49SmRkJJMmTSIuLq7UcxTg7gP78YbjDJq5nt9OXODlEeF8/dfuKtErla5G7NlXV4MGDWL//v10794dgMDAQD7//HM6derEK6+8wqBBg9A0DaPRyLvvvku3bt144YUX6N69O02bNiU2NtZ7onHWrFmMHz+e119/nYYNGzJv3rxyx5VfMrhp06asWbOGV199lb59+yKl5MYbb2TEiBHlmu/o0aMZNmwYcXFxREdHF9lrDQgI4LvvvmPgwIEEBASwYMEC/va3v/HKK6/gcDi488476dy582Uvt6T12bJlS+80JpOJhQsXMnHiRPLy8vDz82PlypUlzrNp06alrpfw8HCeffZZevfujV6vJyYmhvnz5zNr1iwefvhhoqKicDqd9OrVi9mzZ/Pmm2+yZs0a9Ho9nTp14oYbbrjk+zr4RxaTFu9i56l0+rZvyCu3RHJN3aKNYxSlMojL+ZpfVeLi4mR+u798+/fvp2PHjj6KSFGqxv79+2ndth3vrjnK+2uPEGQx8vywTqoPrFIuQojtUsq4skyr9uwV5QqyOzVumrWBw+ezGREdynM3daJBoLn0FypKBalkryhXgEuTnMu0kpxlI8fmZO7YOPp1aOzrsJRaRCV7RaliWVYHpy/kYXdpBJj1rHiit2oPqFxx6hOnKFXE6dI4m2HlQq4ds0FPm4aBnMwyqUSv+IT61ClKJZNSkpHn4Ey6FZcmaRRkoVGQGZ3qHKX4kEr2ilKJ7E6NM+l5ZFod+Jn0tKobgJ9J9YBVfE/dVFWKc+fOcffdd9O6dWu6dOlC9+7dWbJkia/D8ipYFnj+/PmcOaN6xfiClJLUbBuHz2WRbXPStI4f1zYMVIleqTbUnv0lSCm5+eabGTNmDF988QXgrk65fPnyKlum0+nEYCj7r6VgWeD58+cTERFBaGhoVYSmlMDmcJGUnkeOzUmg2cA19fwwG1SSV6oXtWd/CatXr8ZkMhVKqC1btmTixIm4XC6eeuopb3njDz74AIC1a9fSp08fbrvtNjp06MDo0aO9dVi2b99O79696dKlC4MHD+bs2bMA9OnTh2eeeYbevXvz1ltvsWrVKmJiYoiMjGT8+PHeAmKTJ0+mU6dOREVF8eSTTwJ/lgVetGgR27ZtY/To0URHR/P9999zyy23eOP+6aefGDly5BVZb7WFJiXns6wcOp+N1eGiWT0/WoUEqESvVEsV2rMXQjwOPIC7qfhuYBzgDywEwoBE4HYp5YWKLCf9P0exn8mpyCyKMIUGUHdYm0tOs3fvXmJjY4sd9/HHH1OnTh22bt2KzWajZ8+eDBo0CIAdO3awd+9eQkND6dmzJxs3bqRr165MnDiRZcuWeUsgP/vss8ydO9f9HtPTWbduHVarlbZt27Jq1SratWvHfffdx/vvv899993HkiVLOHDgAEKIIp2UbrvtNt555x1mzJhBXFwcUkr+7//+j+TkZG/5hXHjxlV8xSkA5NmdJF3II8/hoo6fkdC6fqo6pVKtlfvTKYS4BngEiJNSRgB64E5gMrBKStkWWOV5flV4+OGH6dy5M/Hx8axYsYJPP/2U6OhounbtSmpqKocPHwYgISGBZs2aodPpvO0MDx48yJ49exg4cCDR0dG88sorJCUleed9xx13AO5Sva1ataJdu3YAjBkzhvXr1xMcHIzFYuGBBx7g22+/LbULlRCCe++9l88//5z09HQ2bdpUaq0WpXSaJjmbkceR8zk4NEnL+v60bBCgEr1S7VX0mL0B8BNCOHDv0Z8BpgB9POM/AdYCxbdHKqPS9sCrSnh4OIsXL/Y+f/fdd0lJSSEuLo4WLVrw9ttvM3jw4EKvWbt2bYkldcPDw9m0aVOxy8ovnVxSrSKDwcCWLVtYtWoVX331Fe+8806pjUDGjRvHsGHDsFgsjBo16rLOBShFZducnL6Qh83por6/iSZ1LBhUkldqiHJ/UqWUp4EZwEngLJAhpVwBNJZSnvVMcxZoVPJcqrd+/fphtVp5//33vcPyG3kPHjyY999/H4fDAcChQ4fIySn5UFP79u1JTk72JnuHw8HevXuLTNehQwcSExM5cuQIAJ999hm9e/cmOzubjIwMbrzxRt58881i68QXLG0MEBoaSmhoKK+88kqxLQyVsnFpGkkXcjmWnI1E0jokgGb1/VWiV2qUcu/qCSHqASOAVkA68I0Q4p7LeP2DwIMALVq0KG8YVUoIwdKlS3n88cd57bXXaNiwIQEBAfzrX/9i1KhRJCYmEhsbi5SShg0betsIFsdkMrFo0SIeeeQRMjIycDqdPPbYY4SHhxeazmKxMG/ePEaNGoXT6SQ+Pp4JEyaQlpbGiBEjsFqtSCmZOXNmkWWMHTuWCRMm4Ofn522uMXr0aJKTk+nUqVNlr55aITPPwen0PJwujZBAM42DLejVzVFKDVTuEsdCiFHAECnl/Z7n9wHdgP5AHynlWSFEU2CtlLL9pealShxXnb///e/ExMRw//33+zqUGsXhct8clZHnwGLU06yeH/6mih8GU59rpTJdqRLHJ4FuQgh/IA93kt8G5ABjgOmen8sqsAylArp06UJAQAD//ve/fR1KjSGlJD3XwZmMPDQJjYMtNAwyo1O15pUartzJXkq5WQixCPgNcAI7gDlAIPC1EOJ+3BuEUSXPRalK27dv93UINYrd6SLpQh7ZNif+JgPN6vlhMapr5pWrQ4W+l0opnweev2iwDfdevqLUCO5SB3b+yHQ3Tw+t60eDAJPqHKVcVdS1eEqtZnW49+Zz7U6CLEauqeuHyaCuslGuPirZK7WSJiXJWTbOZ9nQC2he35+6fka1N69ctVSyV2qdHJuT0+l5WB0u6vqZCK2rbo5Srn7qE34Jer2e6OhoIiIiGDVqlPeGqitp6dKl7Nu3z/v8ueeeY+XKlVc8jlmzZtGxY0dGjx59xZd9Kenp6bz33nve52fOnOG2224rdlqXJjmTnsfR5GxcmiSsQQAtGqibo5TaQX3KL8HPz4+dO3eyZ88eTCYTs2fPLtPrnE5npcVwcbJ/6aWXGDBgQKXNv6zee+89fvjhBxYsWFBp83S5XJd8XhYXJ/vQ0FAWLVpUZLosq4PD57JIybbRIMBMu8aBBPsZLz9oRamhVLIvo+uvv54jR46Qk5PD+PHjiY+PJyYmhmXL3LcRzJ8/n1GjRjFs2DAGDRpEdnY248aNIzIykqioKG+NnRUrVtC9e3diY2MZNWoU2dnZAISFhTFp0iQSEhJISEjgyJEj/PLLLyxfvpynnnqK6Ohojh49ytixY73JrKRSyGFhYTz//PPExsYSGRnJgQMHAFi3bh3R0dFER0cTExNTqLRCvjfeeIOIiAgiIiJ48803AXfN/GPHjjF8+PAid+66XC6efPJJ7/t8++23S43tpZde4rrrruObb74p8rxPnz7k32CXkpJCWFiYd/2OGDGCIUOG0L59e1588UXAXfb56NGjREdH89RTT5GYmEhERAQAVquVMWPH0qFTOPFxXdj8y8+0aRjIT8sWMuq22xgyZAht27bl6aefruCnQ1GqvxpxzP7HH3/kjz/+qNR5NmnSpMxVIJ1OJz/++CNDhgxh2rRp9OvXj7lz55Kenk5CQoJ3T3vTpk3s2rWL+vXrM2nSJOrUqcPu3bsBuHDhAikpKbzyyiusXLnSW3bhjTfe4LnnngMgODiYLVu28Omnn/LYY4/x3XffMXz4cG666aYihyasVitjx44tUgr5scceAyAkJITffvuN9957jxkzZvDRRx8xY8YM3n33XXr27El2djYWi6XQPLdv3868efPYvHkzUkq6du1K7969mT17Nv/9739Zs2YNISEhhV4zZ84cjh8/zo4dOzAYDKSlpZUam8ViYcOGDYA7WRd8fqlvT1u2bGHPnj34+/sTHx/P0KFDmT59Onv27PHWCkpMTATcl1POmPkWmXlOvlnxC+lnjzP61uHcMfQQADt37mTHjh2YzWbat2/PxIkTad68eZk+D4pSE6k9+0vIy8sjOjraW+Xy/vvvZ8WKFUyfPp3o6Gj69OmD1Wrl5MmTAAwcOJD69esDsHLlSh5++GHvvOrVq8evv/7Kvn376NmzJ9HR0XzyySecOHHCO81dd93l/VlSdcx8JZVCzpffqKRLly7eBNizZ0+eeOIJZs2aRXp6epEqmBs2bOCWW24hICCAwMBARo4cyc8//3zJOFauXMmECRO886pfv36pseWXcy7peUkGDhxIgwYN8PPzY+TIkd4NxMUkcCI1l9XrfuaW2+/k2kaBXB8fTcuWLTl0yJ3s+/fvT506dbBYLHTq1KnQ70FRrkY1Ys/eV3XY84/ZFySlZPHixbRvX7jcz+bNm71livOnu/gyPiklAwcO5Msvvyx2eQWnL+0SwNJqGuWXWc4vsQzuveihQ4fyww8/0K1bN1auXEmHDh3KPM+S4ijufV5KwfV08XODwYCmaYD720tBFy+nuOVeyLFhd2pk25yYDYJr6voV2we2uDLUinI1U3v2l2nw4MG8/fbb3oS2Y8eOYqcbNGgQ77zzjvf5hQsX6NatGxs3bvSWL87NzfXuaQIsXLjQ+7N79+5A0bLF+UoqhXwpR48eJTIykkmTJhEXF+c9lp+vV69eLF26lNzcXHJycliyZAnXX3/9Jec5aNAgZs+e7U2WaWlp5YotX1hYmLfMw8UnWn/66SfS0tLIy8tj6dKl9OzZ07t+bA4Xx1Jy+CPThhDQtlEgA/v19fYOPnToECdPniyykVaU2kIl+8s0depUHA4HUVFRREREMHXq1GKn+8c//sGFCxeIiIigc+fOrFmzhoYNGzJ//nzuuusuoqKi6NatW6GEa7PZ6Nq1K2+99Zb3ROidd97J66+/TkxMDEePHvVOW7AUcmRkJDqdrlCv3OK8+eab3nj8/PyKfGOKjY1l7NixJCQk0LVrVx544AFiYmIuOc8HHniAFi1aEBUVRefOnfniiy/KFVu+J598kvfff58ePXqQkpJSaNx1113HvffeS3R0NLfeeitxcXHUr1+fLgndiIiM5JXnnqFpHTMmvQ6zUc9DDz2Ey+UiMjKSO+64g/nz5xfao1eU2qTcJY4rkypx7N6j3bZtW5EToIrb/Pnz2bZtW6FvSwX7wAZbjFxTr/r3ga1tn2ulal2pEseK4hOaJjmXZSUly45eJ2hZ359gVepAUS5JJftqIv+KGaV4Y8eOZezYsYX6wNbzN9FU9YFVlDKp1sm+uCs9lNrJpWn8kWElNceOyaCjVUgAQZaadQdsdThkqtRe1TbZWywWUlNTadCggUr4tdzV0AdWSklqamqRG9kU5Uqptsm+WbNmJCUlkZyc7OtQFB9xaZKMPAe5dhdGvaCev4mMLB0ZZ30dWflYLBaaNWvm6zCUWqpCyV4IURf4CIjAfePieOAgsBAIAxKB26WUFy533kajkVatWlUkPKWGklKyZMdpXvpuH7k2F3/vdy0TerdRTUUUpQIqumf/FvBfKeVtQggT4A88A6ySUk4XQkwGJgOTKrgcpZZIupDLM0v2sP5QMrEt6vKvW6No2zjI12EpSo1X7mQvhAgGegFjAaSUdsAuhBgB9PFM9gmwFpXslVK4NMmnmxJ5/X8HAXhhWCfu7R5W447NK0p1VZE9+9ZAMjBPCNEZ2A48CjSWUp4FkFKeFUI0Ku7FQogHgQcBWrRoUYEwlJru8Lksnl68ix0n0+ndriHTbomgWT1/X4elKFeViiR7AxALTJRSbhZCvIX7kE2ZSCnnAHPAfQdtBeJQaii7U+P9tUd5Z81hAswGZt7RmZujr1FXXylKFahIsk8CkqSUmz3PF+FO9ueEEE09e/VNgfMVDVK5+uw4eYHJi3dz8FwWwzqH8vywToQEqro1ilJVyp3spZR/CCFOCSHaSykPAv2BfZ5/Y4Dpnp/LKiVS5aqQa3cy43+HmPfLcRoHWfh4TBz9Ozb2dViKctWr6NU4E4EFnitxjgHjcFfS/FoIcT9wEhhVwWUoV4kNh1OY/O0uki7kcU+3Fkwa0qHG3QWrKDVVhZK9lHInUFzFtf4Vma9ydUnPtfPK9/tZtD2J1iEBLHywG11bN/B1WIpSq1TbO2iVmk9KyQ+7/+D55Xu5kGvnoT5teKR/WyzGop2jFEWpWirZK1XiXKaVfyzdw0/7zhFxTTCfjI8nPLSOr8NSlFpLJXulUkkp+WrrKf75w37sTo0pN3Tg/utaqTLEiuJjKtkrlSYxJYfJ3+7i12NpdGtdn1dHRtEqJKD0FyqKUuVUslcqzOnS+GjDcWb+dAiTXserIyO5I645OlXqQFGqDZXslQrZeyaDSYt3sed0JoM6NeblmyNoHKxqtitKdaOSvVIuVoeLWasO88H6Y9TzN/Le6FhuiGiiSh0oSjWlkr1y2bYcT2Py4l0cS8nhti7N+MfQjtT1N/k6LEVRLkEle6XMsqwOpv94gAWbT9Ksnh+f3Z/A9W0b+josRVHKQCV7pUxW7T/HP5bu4Y9MK+N7tuLJwe3wN6mPj6LUFOqvVbmklGwbL/5nH//5/QztGgfy3ugexLSo5+uwFEW5TCrZK8XK7wP78nf7yLY5eXxAO/7WR/WBVZSaSiV7pYikC7k8u2QP6w4lE+PpA9tO9YFVlBpNJXvFS/P0gX3N0wf2+WGduE/1gVWUq4JK9grg7gM7afEufjuZTq92DZl2cwTN66s+sIpytVDJvpazOzVmrzvKO6uP4G/W88btnbklRvWBVZSrTYWTvRBCD2wDTkspbxJC1AcWAmFAInC7lPJCRZejVL6dp9KZtGgXB89lcVNUU14YHq76wCrKVaoyLq14FNhf4PlkYJWUsi2wyvNcqUZy7U5e/m4fI9/bSEaegw/vi+Odu2NVoleUq1iF9uyFEM2AocA04AnP4BFAH8/jT4C1wKSKLEepPBsOpzBlyS5OpeUxumsLJt3QgWDVB1ZRrnoVPYzzJvA0UPC6vMZSyrMAUsqzQohGxb1QCPEg8CBAixYtKhiGUpqMXAevfL+Pb7Yn0SokgK8e7EY31QdWUWqNcid7IcRNwHkp5XYhRJ/Lfb2Ucg4wByAuLk6WNw6ldD/uPsvUZe4+sH/r04ZHVR9YRal1KrJn3xMYLoS4EbAAwUKIz4FzQoimnr36psD5yghUuXznMq08t2wP/9t7jvDQYOaPiyfiGtUHVlFqo3IneynlFGAKgGfP/kkp5T1CiNeBMcB0z89lFQ9TuRxSShZuPcU0Tx/YSUM68JfrVR9YRanNquI6++nA10KI+4GTwKgqWIZSgsSUHKZ8u5tNx1Lp2qo+029VfWAVRamkZC+lXIv7qhuklKlA/8qYr1J2TpfG3I3HeeOnQxh1Ov55SyR3xqs+sIqiuKk7aK8C+85kMmnxLnafzmBAx8a8cnMETeqoPrCKovxJJfsazOpw8fbqw3yw7hh1/Y28c3cMQyObqlIHiqIUoZJ9DbU1MY1Ji3dxLDmHW2PdfWDrBag+sIqiFE8l+xomy+rgtf8e5LNfT3BNXT8+GZ9A73aqD6yiKJemkn0NsvrAOZ5d4u4DO65nGE8Oak+AWf0KFUUpncoUNUCqpw/sck8f2HdH9yBW9YFVFOUyqGRfjUkpWbbzDC/+Zy/ZNiePDWjLQ32uVX1gFUW5bCrZV1On0/N4dslu1h5MJrp5XV67TfWBVRSl/FSyr2Y0TfL55hP868cDaBKeu6kTY3qoPrCKolSMSvbVyJHz2UxevIttJy5wfdsQ/nlLpOoDqyhKpVDJvhqwOzU+WHeUt1cfwc+kZ8aoztwaq/rAKopSeVSy97HfT6UzafEuDvyRxdCoprwwLJyGQao9oKIolUslex/Js7t446eDfLzhOA2DzHx4XxwDOzX2dViKolylVLL3gY1HUpjy7W5OpuVyd9cWTFZ9YBVFqWIq2V9BGbkOpv2wj6+3JRHWwF/1gVUU5YpRyf4K+e8edx/YtBw7E3q34bEBqg+soihXTkUajjcHPgWaABowR0r5lhCiPrAQCAMSgdullBcqHmrNdD7TynPL9vLfvX/QqWkw88aqPrCKolx5FdmzdwL/J6X8TQgRBGwXQvwEjAVWSSmnCyEmA5OBSRUPtWaRUvL1tlNM+34/VqfG00Pa85frW2NUfWAVRfGBijQcPwuc9TzOEkLsB64BRgB9PJN9grtdYa1K9idS3X1gfzmaSkKr+kwfGUnrhoG+DktRlFqsUo7ZCyHCgBhgM9DYsyFASnlWCNGoMpZREzhdGvM2JvLvnw5i1OmYdksEd8W3UH1gFUXxuQoneyFEILAYeExKmVnWuz6FEA8CDwK0aNGiomH43P6z7j6wu5IyGNCxES/fHEHTOn6+DktRFAWoYLIXQhhxJ/oFUspvPYPPCSGaevbqmwLni3utlHIOMAcgLi5OViQOX7I6XLyz+giz1x2ljp+Rt++K4aYo1QdWUZTqpSJX4wjgY2C/lPKNAqOWA2OA6Z6fyyoUYTW2zdMH9mhyDiNjr2Hq0E6qD6yiKNVSRfbsewL3AruFEDs9w57BneS/FkLcD5wERlUowmoo2+bktf8e4LNfTxBaR/WBVRSl+qvI1TgbgJKOVfQv73yruzUHzvPskt2czbQypnsYTw1WfWAVRan+VJYqo7QcOy/9Zy9Ld56hbaNAFk3oQZeWqg+soig1g0r2pZBSsvz3M7z4n31kWR082r8tD/Vtg9mgSh0oilJzqGR/CWc8fWDXHEymc/O6vHZrFO2bqD6wiqLUPCrZF+PiPrBTb+rEWNUHVlGUGkwl+4scOZ/NlG93sTVR9YFVFOXqoZK9h8Pl7gM7a5XqA6soytVHJXtgV1I6Ty/y9IGNbMrzwzvRKMji67AURVEqTa1O9nl2FzNXHuKjn4/RMMjMnHu7MCi8ia/DUhRFqXS1Ntn/ciSFKUt2cyI1l7sS3H1g6/ipPrCKolydanayv3AC/jsFgkMhqAkY/UFvBIMZ9GYwmAr8dD/Ocun4cONplu9NoXHdYP59TxRxbRqD3gGaDnTq+nlFUa4+NTvZWzPgQiKc2AjW9DK9JAh4AnjCDOQBiy6aQOg9GwvTnz8LPi51nNm9wTH6g9EPTP7ux371wD/EveFBuJ8HNnK/RlEUpYrV7GTfNAoe+sX92GEFpxVcdnDaCv1My8pi/rpD7Ew8R5t6JsZ1a0qLYAO48qezux97fxZ8vaOYYXbIzSl5nNMGmqPs70Po3d8oCv3UXfTc4H6sy39suGhcMeOFHoQAoSvw7+LnJQ27xD+dvsDzAsvIH643uzd0Rj8wWP6MU+g876vgawvOUxRdFzrDn+Pz35OuuPVl+HMeiqIUUbOTfUFGi/tfAVJKvtmWxCvfn8PqDOXRgb15sNcV6gPrcoIzDxx5YM+BvAuQk+LeCEjN/Tz7nHsDI12guTw/tYueFxiuOf/8Jws+d/3502nzTO95LqV72ov/kT+8hPGayzON9Mwnf1yBx9WR0IHO6P52pTN4fhpBbygwvMBz70bSUPwGpeCGs9iNjO6iDVNxG+qLNlpFxhUzrLgNXHHLK/QejRS/I6D6HitXU7K/yMnUXKYs2cXGI6kkhNXn1VsjaXMl+8DqDaAPAnN+eYVWV27ZV4qmFd0I5G9wnHmeb1t5BTY6rsIbk0KvlcVs4PLn6SwwzFlgg+gsPK13o+dwb2w1h/vbV5Hnzj+H57/GafNsRC+aV8HlFFpeCRvl6qrIt6BSNlKXHFbSxkh30YbmcoblL+tS3/ouGl7oW6b48xCswQwGP/dPo1/R53pzrdwAXnXJ3qVJ5m08zowVBzHodLxycwR3J6g+sFVCpwNq3x9NifK/JRW30SpxQ+YqvJG5eEPiHVfMxiX/m93FG7SLN0rFzb/EZTqLibGYYS57Gd5LGYfhg0Z1erP7EKPRUvrGweCZNv+f0c99Hi7/fJz3cUCB83T5jwOqzUUfV1WyP/BHJpMW7eL3pAz6d2jEK7eoPrDKFVTwnINSdiUdKvQOk8UMK/CNsOAG1mX/8/xd/r/yPLdmljz+cuWfwzIFFLhwI8B9gUaDa6F5N2g3qPLX60WuimRvc7r7wL6/1t0HdtZdMQxTfWAVpWYQwn3YsyaQ0rMB8JyLc+S6/9lzL3qc45mmpMc5cG4vHPgeIk7X7GQvhBgCvAXogY+klNMrexknt2/gxJPPkety0UHCuwbQG/ToN+pYp9Mjde5jeVIIpE6HFIAQCJ0BnU6PJkADNAFoGnq7CwPgFxyE2d+PHIeVbEcOWbZsNCkJ0JsxCIHD5T4ObdLpMSDRIZBSw6W50CMw6U3k+ek5H6DhZ5fUyzRjDvDHP7QJ1txcslJzka48hMjDZLbgbwmibmADAizBnLencSz3JMn2NDLtWTRzNCTEGYKfDvyMEovJgtFgxuGyk2PP45zVRQ4GmrVqyLUtOpG0fycZ5y/g9LchDZKAbBcmmwsMejAaQG/ALIwEO41gt5PtzMFhFPjVc7dVzE5Nxmi20KhNJ0wNG6ELDMKamUbmiSPY9JK8hkHkmQQ5Nh31DH40MwdxNvU4J84dIliaCTU0QGdz4rDlkl3Pnwt16xKQeoHgpHMEGfzx96uDZtCRi50M6SJLH0DLli1o2DiUrCMHyDydSN324QS2aEPKqUNknz5BsGbCqDeRXNdCaoCF0IAgAlyQdvoUmkFH+5F3YwlpzPFFn2I/dYoG11yLyT8QW8YFcDkxmv0RJhM24SLXkQNWG8ENQwls3wkQnDi6g5PnzpCabaeO5iRM6Amu1xhz6DVkZaWSce4kNn8D9vqBBKbkEXDmAvYGdchu2oj65y5gOXYafb166JtdQ2DLNhgaNMB26BC2Q4dwpqdjtWah79Qe/7g4GnXrjb5OHbJOHiNlz3b0eXYMTonJLwBhNmPTa2B3YD6bhpaeDnoDhgYN8O/WFWmzce6br9DsNprefR9+UVEAuLJzyN22FVdKCgCWyCgs7dt5/05cWVmc2bwWi9GPoCbNcSQlkbNvL7qwFvhd1x377r3krV6HuWEjLO3bI51OXBmZ6Pz9MTSojyUqCn1gINZDh8j99Vf84+Mxd+iAtNlwJCUhNQ1hMJJWV49V76JVnaLnpzSbDWmz4crMwnHmNNJmxxjaFH1wMFLTwOlEulxIp4tcWxZ6DYxSDy73cH29ephatMCZkkrOr5vQ8vLQBwZhbtsWc7u22I8dI/P779EFB+MfHQ16Pa70DIRBjzBb0FnMCLPZnax1OkwtWyL0l/4GpuXlYT9+HC0nB7/YWIRej5abiz3pNOZr2yD865N7+hQ5F3JoGNGz0GvtJ0/iysjA0qnTpZfjcrgT/xUgpKz842VCCD1wCBgIJAFbgbuklPuKmz4uLk5u27btspcz/4NPSd5xGD0CndCjR4cBHWbNgEUz4tBpOHQaGhJNSNz/gRACIXQIzXO1iee8ml6nBwl2uw1N6jHr66LTGbCKTKTOhUXnhx4DUnPh0jQ06UTTJC6XhkHoMev0ODQnVpcNnbRj1klMBj9MOj9smiTL6cSlM4AAg86MWVgAHS5NQzqTkY5UQA/CAkJi0BvQ9IFI4YdLy0OTeSAFOinRcOLSSXR+OtDrwGbAYNUhzU0wCD167QJCy8IuzbjQYXBdQCftOITRfZm/QUMKsDr8QBeExImGHaQNvdBhxIxJgkFz4sBFjudLktBcaHoTep0RgfvrtXS5rzCy6A34G4zYNB25mgXN2AS9zozmSsHlOoOm2dFJiV6AEQNWYUQi0QuBv9RwaTYcmg2dy4FOCtA3wmWsi6aloMk8XIY6IIwI6URodqROICQE26wE2nLJ0ZuwGgXCmQlCh2YKRejrYtJc6Fw5SFcmmjDgMIeiB4yuVFxCR56hHuh16Aw2NM2OlpeOBQtmY2NcGLG7nAiZjlnkoml6bMIfzdQMaQhEb0/B4jyJQAfCgH9OEv65Z7D5N8QW0AAXEpcmwRmMpq+HU2biFNkIaQC9GZ0046fTU1dnxaDTOOfMJlO6TxxbgDoY8NOcGHJSsWtO0vxDcekt1LGnY9KyMNhTwGnAWqclNoM/uVKgc1mx+OUhzC601GyMeSB0friEA51ZD04nOOzYzCHkBTRFE/4YpBGdPQmDTENIAzpXEHrNgVHLA5GBK0iPTEsHacDk1PAz+yHycnFJE+l1WpLj3xiTTodJODFaz6J3ZZBqCsKht1DXlkWQS0NvDAIMkJ2NsGZgNeRhM5mx+l2LwxCEdJ7GoNnwcxrwt1sxWdMwuHIRmgO9AJ3RTFZAEzKCmuBnNFNXb0Sfl47hwlGsDj/S6ndwf34dqVgyjhOUcRRpqoO1bgdyDf7kGfwwuLIwY0PoBVpIPbIddlwODX+HxGJzYjbXQWcKwmVz4MjNQJ9zDIMtGa1xS4ytIsg5dAikjqDA5mAJIC39JFaZizG4AbqWzTBa7ThTUyElB7teT0Z9gWbSUydXI9AO5oaB1AlvRete14HVxulVa6BeINEP3nfZ+Q93LtsupYwr07RVlOy7Ay9IKQd7nk8BkFK+Wtz05U32W5au4Yed6yoSaokMUo8AnGhIUfo6ElKgR4ceHTopcAoXDvHn1Rk6z/iL52eQOgz8ueWXBf5f+BGeTZX7pwt3si7IKPUYMSAABy40NEwYMEg9GhIEaEgcOL2x6aUOk9QDgvyOwi73pgQdAgsmhBS4cHmX7z48JpBINM8mVEOiR2BA743P5Y1TepdlxoBwbyY8r3NfwqkVeG+eNVrg/+7hTuGe1iT17r0+xEVTeWIX7lj1eHYApA6n0MjDjhQSvXSfVHYJDZ0UWDBixYHmiVNIMGHEJPW4hMSOw7MjoceBC7twYpA6jFKPDh2Iwr8xWeQR3veLZ13lvxeD1GPB6N0Rkfy5U5L/Xtzv2YARPQVXjwQ0PDsz/LlTgwQdAoFA5/n357rRvL8LA3r3PAEppefzVDAO9/wLfo5N0v350gr87t1rQeD0RKHzLF1D865T93t1L9PlidWFhgAM6L2fWSnc61/nmUvB91GQHZd33eilDiPuz4QU7vk4ceESWpF5Ffx95L/b/Pnr0RVal66L4s9/oZGynZNx4Cr40URIgRlDoXWgodHQ7s+Dr/5fmeZ5sctJ9lV1GOca4FSB50lA14ITCCEeBB4EaNGiRbkWEnV9AiGGBkg9SAOgA6fQyLBlkW3PJcDiT4A5AIPQeX7h7l+83mQAHdjsdhw2OzabHZfmxGgxo2ka6Slp5OTl4pJODHo9IUEhBPj549S7cEgnLocLzaXhtDtxOp24HE6caLiEC6fdiSPPjtlkJqhuMHqLEafQsGfnYU3PwYAes8GEptewSwdOlxOny4VOZ0Av9O6vtC6JMOnRmwxonvnrdXqE0CFdGtKlYTKZ8Lf406hhYwL9/Tlx6iTn085jd9nRhIZ/QBAmi5mczGwcDjsGowG9wYDQBEajkfoNGoCElDNnsVpt6Ax6dEY9eoN7Or1O4JIaVpcN6ZLonO4PKwLQCdALdDqBzvunJJBGcBokWq4dLdsGUiKQmC1+WPwCsLucWB0292v1OnCBcEn3ck0GhATpcn/b0lwaDqsVl9OJwWTCYDS6/8g0sLrs2DWHe5kCNOFyrzcN9EKPn8UPIXTY7HnYnXacmhO93kCQJRCdhDxrLugEFj9/NOkiN8+KxWiiQd36CKEjJzeXbHsOubYcdBoYNQM6swH8jOhdIKxO7FY7dqcDjAK9n8m9/oRASoHTLjEHmDCajWgup3svMceKtLswGE0YDSZMwgCaJFdasQkHxmA/TAH+kO0Eu4ZOr8dgMmAOtODCRUZqJg6bDb3ny6gw6dznJe0aep0OY5ARk96Ezi6RmsRqt6JJ0AsdUmpoLg2T2URg/Tq4nBrW7Fwc0oFTc+FyONyxWUyYgwJx2e04c23unQOdhlOnYdck9QzBSJcLu8tBjj0bAzqMOgMmg9n9bdVkQG/U43S5cNic+OnN7gRqghysGMwGpEPDlZEHDonLrEdn0GNwgNQkAcFBGIxGbHm5OBx2Mq3ZuDQNnXCnKRcaZj8zAQGB+AUHEBASTPrpVC4knUPoAD0YDAakTmCwGyAPhBEcZgcmvQGcoDMZEEY9drsNu8NGgH8gZosf6XnppOemY9BALw2ejbsBM37opBG7zMMurRiMZoReh82ZA1Kjnl9DdFJPni0LmyMX4W9GEwKdXWIWRpo0bkxg3bpk5GSRmppCdno6TrsD6dQAgc5gIDjkyvTLqKpkX9yZ0UKbSCnlHGAOuPfsy7MQS4MAWt8UVZ6XXnXCCPd1CIqiVGNVdZF0EtC8wPNmwJkqWpaiKIpSiqpK9luBtkKIVkIIE3AnsLyKlqUoiqKUokoO40gpnUKIvwP/w33p5Vwp5d6qWJaiKIpSuiq7zl5K+QPwQ1XNX1EURSk7VdhEURSlFlDJXlEUpRZQyV5RFKUWUMleURSlFqiScgmXHYQQycCJCswiBEippHAqm4qtfKpzbFC941OxlU91jg2Kj6+llLJhWV5cLZJ9RQkhtpW1PsSVpmIrn+ocG1Tv+FRs5VOdY4OKx6cO4yiKotQCKtkriqLUAldLsp/j6wAuQcVWPtU5Nqje8anYyqc6xwYVjO+qOGavKIqiXNrVsmevKIqiXIJK9oqiKLVAjU72QoghQoiDQogjQojJPo6luRBijRBivxBirxDiUc/w+kKIn4QQhz0/6/kwRr0QYocQ4rtqGFtdIcQiIcQBzzrsXl3iE0I87vmd7hFCfCmEsPgqNiHEXCHEeSHEngLDSoxFCDHF8/dxUAgx2Efxve75ve4SQiwRQtT1RXzFxVZg3JNCCCmECKlOsQkhJnqWv1cI8VqFYpNS1sh/uEsnHwVaAybgd6CTD+NpCsR6HgfhbrjeCXgNmOwZPhn4lw9jfAL4AvjO87w6xfYJ8IDnsQmoWx3iw91i8zjg53n+NTDWV7EBvYBYYE+BYcXG4vn8/Q6YgVaevxe9D+IbBBg8j//lq/iKi80zvDnucuwngJDqEhvQF1gJmD3PG1Uktpq8Z58AHJFSHpNS2oGvgBG+CkZKeVZK+ZvncRawH3eiGIE7keH5ebMv4hNCNAOGAh8VGFxdYgvG/WH/GEBKaZdSpleX+HCXAvcTQhgAf9xd13wSm5RyPZB20eCSYhkBfCWltEkpjwNHcP/dXNH4pJQrpJROz9NfcXeuu+LxlbDuAGYCT1O4dWp1iO1vwHQppc0zzfmKxFaTk31xTc2v8VEshQghwoAYYDPQWEp5FtwbBKCRj8J6E/cHWiswrLrE1hpIBuZ5DjN9JIQIqA7xSSlPAzOAk8BZIENKuaI6xFZASbFUx7+R8cCPnsc+j08IMRw4LaX8/aJRPo8NaAdcL4TYLIRYJ4SIr0hsNTnZl9rU3BeEEIHAYuAxKWWmr+MBEELcBJyXUm73dSwlMOD+Cvu+lDIGyMF9OMLnPMe/R+D+uhwKBAgh7vFtVGVWrf5GhBDPAk5gQf6gYia7YvEJIfyBZ4HnihtdzLArve4MQD2gG/AU8LUQQlDO2Gpysq92Tc2FEEbciX6BlPJbz+BzQoimnvFNgfMlvb4K9QSGCyEScR/u6ieE+LyaxAbu32WSlHKz5/ki3Mm/OsQ3ADgupUyWUjqAb4Ee1SS2fCXFUm3+RoQQY4CbgNHSc+AZ38fXBvdG/HfP30Yz4DchRJNqEBueGL6VbltwfysPKW9sNTnZV6um5p4t7sfAfinlGwVGLQfGeB6PAZZd6diklFOklM2klGG419NqKeU91SE2T3x/AKeEEO09g/oD+6ge8Z0Eugkh/D2/4/64z8dUh9jylRTLcuBOIYRZCNEKaAtsudLBCSGGAJOA4VLK3AKjfBqflHK3lLKRlDLM87eRhPsiiz98HZvHUqAfgBCiHe4LF1LKHVtVnV2+Ev+AG3Ff9XIUeNbHsVyH+6vULmCn59+NQANgFXDY87O+j+Psw59X41Sb2IBoYJtn/S3F/fW1WsQHvAgcAPYAn+G+CsInsQFf4j534MCdnO6/VCy4D1McBQ4CN/goviO4jzHn/13M9kV8xcV20fhEPFfjVIfYcCf3zz2fu9+AfhWJTZVLUBRFqQVq8mEcRVEUpYxUslcURakFVLJXFEWpBVSyVxRFqQVUslcURakFVLJXFEWpBVSyVxRFqQX+H0d3h8sGAw8OAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'graph')"
      ]
     },
     "execution_count": 102,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.bar(df[\"GDP per capita\"], df[\"Generosity\"], width= 0.9)\n",
    "plt.xlabel(\"GDP\")\n",
    "plt.ylabel(\"Generosity\")\n",
    "plt.title(\"graph\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "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>Overall rank</th>\n",
       "      <th>Score</th>\n",
       "      <th>GDP per capita</th>\n",
       "      <th>Social support</th>\n",
       "      <th>Healthy life expectancy</th>\n",
       "      <th>Freedom to make life choices</th>\n",
       "      <th>Generosity</th>\n",
       "      <th>Perceptions of corruption</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Overall rank</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.989096</td>\n",
       "      <td>-0.801947</td>\n",
       "      <td>-0.767465</td>\n",
       "      <td>-0.787411</td>\n",
       "      <td>-0.546606</td>\n",
       "      <td>-0.047993</td>\n",
       "      <td>-0.351959</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Score</th>\n",
       "      <td>-0.989096</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.793883</td>\n",
       "      <td>0.777058</td>\n",
       "      <td>0.779883</td>\n",
       "      <td>0.566742</td>\n",
       "      <td>0.075824</td>\n",
       "      <td>0.385613</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP per capita</th>\n",
       "      <td>-0.801947</td>\n",
       "      <td>0.793883</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.754906</td>\n",
       "      <td>0.835462</td>\n",
       "      <td>0.379079</td>\n",
       "      <td>-0.079662</td>\n",
       "      <td>0.298920</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Social support</th>\n",
       "      <td>-0.767465</td>\n",
       "      <td>0.777058</td>\n",
       "      <td>0.754906</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.719009</td>\n",
       "      <td>0.447333</td>\n",
       "      <td>-0.048126</td>\n",
       "      <td>0.181899</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Healthy life expectancy</th>\n",
       "      <td>-0.787411</td>\n",
       "      <td>0.779883</td>\n",
       "      <td>0.835462</td>\n",
       "      <td>0.719009</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.390395</td>\n",
       "      <td>-0.029511</td>\n",
       "      <td>0.295283</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Freedom to make life choices</th>\n",
       "      <td>-0.546606</td>\n",
       "      <td>0.566742</td>\n",
       "      <td>0.379079</td>\n",
       "      <td>0.447333</td>\n",
       "      <td>0.390395</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.269742</td>\n",
       "      <td>0.438843</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Generosity</th>\n",
       "      <td>-0.047993</td>\n",
       "      <td>0.075824</td>\n",
       "      <td>-0.079662</td>\n",
       "      <td>-0.048126</td>\n",
       "      <td>-0.029511</td>\n",
       "      <td>0.269742</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.326538</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Perceptions of corruption</th>\n",
       "      <td>-0.351959</td>\n",
       "      <td>0.385613</td>\n",
       "      <td>0.298920</td>\n",
       "      <td>0.181899</td>\n",
       "      <td>0.295283</td>\n",
       "      <td>0.438843</td>\n",
       "      <td>0.326538</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                              Overall rank     Score  GDP per capita  \\\n",
       "Overall rank                      1.000000 -0.989096       -0.801947   \n",
       "Score                            -0.989096  1.000000        0.793883   \n",
       "GDP per capita                   -0.801947  0.793883        1.000000   \n",
       "Social support                   -0.767465  0.777058        0.754906   \n",
       "Healthy life expectancy          -0.787411  0.779883        0.835462   \n",
       "Freedom to make life choices     -0.546606  0.566742        0.379079   \n",
       "Generosity                       -0.047993  0.075824       -0.079662   \n",
       "Perceptions of corruption        -0.351959  0.385613        0.298920   \n",
       "\n",
       "                              Social support  Healthy life expectancy  \\\n",
       "Overall rank                       -0.767465                -0.787411   \n",
       "Score                               0.777058                 0.779883   \n",
       "GDP per capita                      0.754906                 0.835462   \n",
       "Social support                      1.000000                 0.719009   \n",
       "Healthy life expectancy             0.719009                 1.000000   \n",
       "Freedom to make life choices        0.447333                 0.390395   \n",
       "Generosity                         -0.048126                -0.029511   \n",
       "Perceptions of corruption           0.181899                 0.295283   \n",
       "\n",
       "                              Freedom to make life choices  Generosity  \\\n",
       "Overall rank                                     -0.546606   -0.047993   \n",
       "Score                                             0.566742    0.075824   \n",
       "GDP per capita                                    0.379079   -0.079662   \n",
       "Social support                                    0.447333   -0.048126   \n",
       "Healthy life expectancy                           0.390395   -0.029511   \n",
       "Freedom to make life choices                      1.000000    0.269742   \n",
       "Generosity                                        0.269742    1.000000   \n",
       "Perceptions of corruption                         0.438843    0.326538   \n",
       "\n",
       "                              Perceptions of corruption  \n",
       "Overall rank                                  -0.351959  \n",
       "Score                                          0.385613  \n",
       "GDP per capita                                 0.298920  \n",
       "Social support                                 0.181899  \n",
       "Healthy life expectancy                        0.295283  \n",
       "Freedom to make life choices                   0.438843  \n",
       "Generosity                                     0.326538  \n",
       "Perceptions of corruption                      1.000000  "
      ]
     },
     "execution_count": 103,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.corr()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 104,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.heatmap(df.corr(), annot=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here we see there is a strong relationship between GDP per capita and healthy life expectancy and a week relation between Freedom to make life choice and generosity"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[1.000e+00, 7.769e+00, 1.340e+00, ..., 5.960e-01, 1.530e-01,\n",
       "        3.930e-01],\n",
       "       [2.000e+00, 7.600e+00, 1.383e+00, ..., 5.920e-01, 2.520e-01,\n",
       "        4.100e-01],\n",
       "       [3.000e+00, 7.554e+00, 1.488e+00, ..., 6.030e-01, 2.710e-01,\n",
       "        3.410e-01],\n",
       "       ...,\n",
       "       [1.540e+02, 3.203e+00, 3.500e-01, ..., 0.000e+00, 1.580e-01,\n",
       "        2.500e-02],\n",
       "       [1.550e+02, 3.083e+00, 2.600e-02, ..., 2.250e-01, 2.350e-01,\n",
       "        3.500e-02],\n",
       "       [1.560e+02, 2.853e+00, 3.060e-01, ..., 1.000e-02, 2.020e-01,\n",
       "        9.100e-02]])"
      ]
     },
     "execution_count": 116,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# euclidean distance\n",
    "url= df.drop(labels=\"Country or region\", axis=1).values\n",
    "\n",
    "url"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1248"
      ]
     },
     "execution_count": 117,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "url.size"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "156"
      ]
     },
     "execution_count": 118,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.size(url,0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       ...,\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.]])"
      ]
     },
     "execution_count": 119,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "eucl= np.zeros([np.size(url,0), np.size(url,0)])\n",
    "eucl"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x238ac602b80>"
      ]
     },
     "execution_count": 123,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAQMAAAD8CAYAAABzYsGzAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjMuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8vihELAAAACXBIWXMAAAsTAAALEwEAmpwYAABI70lEQVR4nO29baw23XXX91t77vM4feKYxE0Ij1+KHWSgbgRNZAVU2gjJBZw02KCqyGmprIbKqhRa0hYRu/4AX5CgtGmRqoLcJhBaQ8pLIvwBaNLQFPVDQmxjx06ME8cJyeM82EloGwjIz31fs/ph77XfZs/b9TrnnFnSOXPN7HXtmWtm7/9ea/33niWqyi677LKLu/UF7LLLLtuQHQx22WUXYAeDXXbZJcgOBrvssguwg8Euu+wSZAeDXXbZBbggGIjI20TkUyLyaRF5z6XOs8suu5xH5BLzDESkA34S+F3Ai8CPAt+sqj9x9pPtsssuZ5FLWQZfB3xaVT+jqi8D3wO840Ln2mWXXc4gTy5U72uBn8/2XwR+25jyc/IK/SK+2O9I/Bc+yuC4bUDGP4/qZXUG0Ymy1ve0VVbt69i5s8Na7U+WT5xvyfUMr2tcp/gdS+uO+zquUx+TSp/h7Ud0eKrse2WzSHXZ8fqYSKWDZk1Mq8ed9iU7n9WRH4vfD9dWHCM7ll2To65nqCON87jBef1NkeKYVDrCh3/sC7+kql/BiFwKDFrNoGz7Iu8G3g3wRTzPb5O3+gLXIU5AHDhBus4/fecQEcjKcJ3XEfE6UTfshz/tXNoPZeqct4tMR8TvO+c7jLNj4vdDuYrv3CqCOopyDU9DXdBxaT+WDXTJyiR9R8ptSxc3r9eqq9ZNx7RdRr6vjTo0fvZlmmxOycvCcQmdJpSJKGLHCZ1NFOc0PB4Nf/6zC392vHNp34U6TKdzvf+ML3+S7Tvpo54T5Yn0OOnpQvkTdwDgLhx3onT0PHE9HWFfehxpe+ee0YW6O5Q7eRa/53V8/R09d3LIjvXc4ffT962OQzimfovynPQ4oAvNtgM6Ee4QnAgdgsNxJ53vVgjPveYz/2iq014KDF4EXp/tvw74hVxBVd8PvB/gVfLqBBTao71DXA+9A+nBOeh71DmkB1wPdKBeR50NMqGantIByuMiPdAJoor2Ai6hrPYSGqSgvW+gqh5VFYVeEKcEDVDTC+Xie45o0OlDBwr9Qe08qYaqLNRJrW+/o9RVlVm9+Nv8T2vqRp30SwslkXAf1MY3reoo9qqLr65E49X70SuMsvE+i78HEh+bVZQ+qyi9SnzEqumR93gg6IMJJGYKhUfdZ/v+4fTxsnsPI/6YQK8OJ70/brricKp+QNJwVnvQ0tNrue8IeuKyexLqwfT8T+viA8qO0+Ps94fvO5SDfam4PYrL7z3+2t3CaMClwOBHgTeJyBuBzwLvBP79UW3Bj/LahxaQAEEPpZkRAYGDtwTIAOFwiFYEuAgIcui9dWBy6KNFobgSEA5ARwIEQkeK7SEBQux0ARDoPSD4Z50AISqGkT8HhPx5+nYQQCW0y6Ksoasi8drS8XIfOybpy7mujfS+vQZAyNovhN/fE0Z0QZ1W50tnk15KCyEHhAjAARD6ZCXhtAAEwjU7VwJC3zuc6yMgHMJ1qQid6wtAcCqpuwvQO3qzBJyhdR8uzcygCCv++6LcuUPUfUrHHQf6sM0BwUx423+K784uAEwOCF0BJPCy+tHdA8qz6qEe7OfzVBy9KodgIdSAUJ7nECyXvBe15SJgoKrPROQPA/873oL5LlX98fFviB9d+/AQVEEPKF0EBJz4zk4FCGKducvANLSOzEKQ0GLUBbCIoN63AcFpAIusk/RaAAKhIyGhYbs04vmOEx4MBgLeuigAIXScsvNnQFIPKGO6A6Ag1qt2DyBec20hZANWCQhZHWYh+IdQWgj+fKFjx3vpAbUJCKIZqIS7YUChaSvhcbYAQcRbMV042qPQuwIQnvUOJxqAqU8WAvCsdwUgmK5DQ8dIHfhp3w0AocuAwQDhqXZ+NFYHzjp0Aoa8o76s0OHoDa6ym+m0BArU/76D9DynfbwVL6trAkIvcJdZCLERTMilLANU9W8Bf2vxFyRYAr0LvRFql0EdiOrQZTB3YoHL4EfIsmzUZejCaGwuQ+x08y5DdAPAj8TxudauwLjLUFgfpC0t3RGXQYLuEpdByAeWzGUgKc25DFZHvN8IGisdaIZ7kQAhFusyl6F+xD2KBIth1mUguA1CYSH4egLiBkBwKIdaN7gKh4UuAxo6/gkuA+o45A8PFrsMc3IxMFgjAj6wZ64BbZdhMoagQuEy9EEP5mMIIeg0AITaZbAYglJYCC2XIe/kS2MIVXtoAEe2bbkMTuK1jQEHGCCmL9e68fdngGDngwwQaAPCIIZQI1F+oIohqFk0WrkMWt8F4ufFMYTehXgTCRBGYghLXYbJGAJwF2/4dAyhdhkO9gsagDCIIahwQOZdhhnZBBggxhqEGIFZCAwBQQ/4hmI031gMgd5bESMxhMJlmIsh5C4DeD99wmVAFbrKZVgaQ6jM+9EYQu4yZLr+2ipQmXAZBuA0E0MgBxtlNIaQuwyzMYQJlyECQu8wtiM+Ut8CYgzhoELHdAyB3nnwsJjBSAwhdxmcCrhDvElNl0F7epGjYwgDl4EnPioxEkPIXYan4ujQSZfBLZhcuA0wgPiErQMOACGLIYy6DCtiCEDbZWjFEKxhqixyGRSB2kIIMQR1eWcddxkEMstv2mVo6Y65AbXLMBlDqF2GoBuv3wZsiB28VUe834zEEKKZW7oMkd1xlcuAhnqThWAxhKUugyO5CHMug3+cyWVA4RBG4ztrPCMuw1QMYcxlqG9LM4Yw4jKMAcJwAsdQtgEGQjT9gdJlmIghjLoMK2IIO+3IetoxLwuAsNOOMy7DBmjHOdkGGBBM9GD7yeEQ7u90DCHSjktiCDvtOGhLsRuOxBAKwMpdhux8wG1oR/WAt9OOsJh2nJGNgAG+A/YkQFBlNIZQ045jMYSHRDvGTn0E7bgihhAwaKC7OdrR3IL+PLSjxRBOoR177XjCYdu044RsAwyE0HH7BAjGBqguchmuTjuuiCGchXYsTPmVtKMsjyE8Vtqxs8+GNaynHX0dyWXYHO04I9sAA/BxAh8LLgBBbL7+1mjHsRiCUlgIO+240463ph0j6s/IRsBAiNORuwoQYNpluADtqF3o2TvtWIKTuQzC0GUIujvtuJx2hBIQLkU7WgxhTrYBBkJkEKKJ1XAZrANOAcI5aMcYQ7g17VjHEEigY5bfTjveX9rRAOFatOOcbAMMoHAHLEC0KIYwAggPgnYMA2PtMihUnX/cZaChu1XacTKGsNOOcf9Y2nFONgIG3r6L95mO5LzOxBAmXAaBnXZk2Jm3Sjv688lZaMcSFv293Art2AKEa9COc7INMBC8T69azDGAC8YQdtqxsELyDprXab/tvtGOFkPYJO3YiCFcg3ack22AARCnS+YWwkwMYanL8NBpRwm6eScvXQPKOsl0d9oxfD5PDGHLtOOcbAQMJAQQiWZ9AQgjMYSlLsNDpx2tveedfKcdp10GuEwM4Ry0Y+0ynIt2nJONgAG+pTjwN8U/RG+K94zGEGCnHW10rMz7nXZcTjsuiSFck3Z8qubAEDv0FO34HHlXn6AdZ2QbYGCdARKggqcTVZOFcAzteObVjmehHStAuBe0Y2ZpxoFG2rpboR19789cBsZpR2t6/qfpIIaw5dWOL+fuQXZbBjGEGdkGGEACAygBoY4hrKEd1652POUlq1MxhNpliH66zsYQNkM7ZueLv21wDanOqENyGYqyAAiXpB2tnmNoR7L9Y10GGMYQbko7zshGwECi+S2HcNHxKVQxhDW049rVjqe8ZLX3/65JOw59/Z123GnHMoZQ0I4zcjQYiMjrgb8E/LrwK9+vqn9WRF4N/G/AG4CfBf6Aqv4/05URLQPtXAkIeQzhIdOOB5CAQ3Y/5mjH2AN32nE2hrDTjvOWwTxcjMsz4L9U1X8V+O3At4rIm4H3AD+oqm8CfjDsz4tI+69KiFIkUpGwtUQqzqVRPOhIrquKdxn8ll696WkxBFU/EoPf1jpRt9yXflgmFprW4b6or1/UD5PRqu3JjuV62feyP+kpda2uaj991vTdajs8rqN60tif0k1bGZzP8CzXGasj7dtom/TR/LN4gCnKwnFAVYKOhMcz/NzHY0KvxP0+1NFnOr0KPdnnsN+rS/vxz3GI5eJfsgpR90C1VUdP2vbqOFRb0/c6LsQlfHk6dkHLQFVfAl4Kn/+piHwSn1btHcDvDGrfDfwQ8O2zFRq1CDFYlspouwyXoh0PB389j512JMQQlIGLkNdJq65KN+nstGMeQ3jWd1db7TgnZ4kZiMgbgK8BfgT4ygAUqOpLIvJrF1Tg/zoJdJ0LD0zHXYaddlxFO3oWxdpP+A2Fa8BZaEfNPgxcBmHoMgQg22nHy7xk1WjHwwI0OBkMROSVwN8Avk1Vf8U61ILvpVyLd6/yHVC1sBCCYvqcQPY8tGNlIZyNdsQsDTZDO0ZgiaP/PaYdC2vr4dOOa96YNEs7TshJYCAid3gg+ICqfm84/DkReSFYBS8An299N8+1+Guef416S8d8f+ZdBn8Bi1yGq692RAZl16Qdh67AA6Mdi50ACA+ZduTAwVyBE2jHOTk6gCjeBPhO4JOq+h1Z0QeBd4XP7wL+5sIKvckag4DJdtPONTMpW8AwBhVdB53zpn0VVMwDj1NBRT30HkDqoKJRlHlQse/hcPDbLIgohz5+jkHFvvcxhzqoeLDP+JHfR6tSUDILKhI6iAUVxYKLeeAxBBXzz3lQsTwW6uj98bFAYK5L36qj3C+ug7Yu8XwyOI+BkJ1LemnUIVHXH8ssyryst88hqNgLan92HKoAom0lNANvmFvA8NDbnxsEFesg4qF3PAt/g6AiZVDxmTqe9R1P+67QfardaFDxoK4IJj7VjgNpmwcV5+QUy+B3AP8h8HER+Wg49l8Bfwr4qyLyh4CfA/69uYo0+IgAOEUJLoOod9ZMb2u0Y5hXcK9ox9xlkGRJ7LSj8lBox6ehdda045ycwib83xOneOvq+oLJD3hA6MP+0hhC7TJMxBCWugzNGMItVjuK/ZwNrXa0a6v08jphWFetO4ghZOezxz3lMiTz3vYnXIZ4LxIgJOtlmctQP+JLrXZEiaO5I2vPp6x2nJGNzECEGDOI+7ouhjBGOy55yeo5VjsejHlgAAg77TgOCLHTUwLCTjt62tEFC+MstOOMbAMMom+vaaowJJeh74+nHa/1klUDhJ12nKQdB1tzGYShy5ANaNGKiL/j9rTjFl+yOkk7zsg2wIDQGBDff1uA0KAdBzEEKxujHTtCbCG5DNYB7xXtGGIIW6MdUSKARL00aK13GVbEEOp75/cvTzuGZSf4n6qDGMK5aMenfYeT/iTacU42Awa40PDD3VriMqShwvSysibt6AHlbLQjgq1yvCrtKCyOIVyTdrQDY8ARf1voc0tdhqIs3L6L0I528XjdJTEEqVyGqRjCKbSjjfin0I5zshkwUJEAdsEkH7MQ+r6IEzRdhlYM4RIvWYUAUCMxhCmXwaT3/8692nHMZYgxBHMLKC2E0twfcRkYduax1Y7+4VYAYberAo+br3YkiyEcudoRvNsw5jLkiVquvdpxTrYBBoK3DLRsbJMuw9ZpxyUuw047EnAsi1mEYz3DGEJ+XZmBdV9ox1YM4Vq0Y3+/LIPwwIRkITDhMsAghrDTjveYdsxch1gW691px9xlQNfTjvfHMoA0okl4+LnLsDCGcPPVjgYItcvwWFc7VnpUddKqq9JNOjMug2sDwkm0YwSD7dGO9rKSxbTjvbEMYqeWRFkZIBBu2iVox321I7F3Xop2tH2YdBmaIGMug1mLBgix86fmMxVDOJp2DPubXO2Ijwmsze04JdsAA0KjdpoAQTMz0VyGS9KOW3jJ6om0ow1uS2lHf0EGAtm9pwSE3GreaUeJsQS7T2O0o3/yXraw2nFONgEGdi+9NRAaJRp84sxlCHfrMrTjwhjC2pesXpF2jLI0hhAa0047MgSEe0Q7Ll7tOCObAAMInd5ufW4h5C7DVAzhWrTj2pesrpi6vBnakbwzbox2jEX3k3bUMJLf5iWr07INMLAGrOFHhkbadBlgOoZwLtrRRkQ4Xwwh9OBiHkLXtV2GG+V2jD1wJIZAbpqTgOSitGOl24wh5NeVGVhbox0Pdr8vvNqxFUOYk22AAZBmIBIaQeUycGXaUc0qmHAZIo2xYuryNWlHtLAQ7i3t2NBdTDtm1kCrjni/eVi0YyuGMCebAQPf0QNCt1wGNko7NlyGfbVjbsXVnVqvv9pRExSUdZQuQ3ni6kru0WrHMdpxTjYDBrUJO+oyrKUd52IILZfhmrRj7jI8Ntpxocug2Yda92a0o92NC9KOBN1z0Y5zsg0wCA/VU24aLQSxstxCqGMIS2hH+uJejNKOXTeMITwQ2jGfunwfacdWDCH+7tplWBFDqO+d398I7Rg6+jloxy71jFHZBhhA1noyC6HlMhxI9NMjoh1XxRAatOPSqcuY2Wkj8YIYwlKXgYbuVmhHA5V4v3lYtOMS2QwY+LyBAdVJgIAq+Uhmi3JOph3DUHMV2lElTUk+59TlC9COjOR2fOi0oz9fsffgaMc5OUfehA74EPBZVf2mY3It2gO20T8HBLrQQM9NO4aR/SqrHTmgIaq36CWrE1OXd9qR0mVQGxjCMWEYQ8ivy/pnbHiPh3acEzevMit/BPhktn9UrkV1hIcp8aGmByNpRDAdl5WLhGNpH2d1yXC/yt9Y/N0it2Moa+kQddLfWXI7hvJ7n9uRiTKVwfmiRR9/jzTPV16jjbZJH80/iweYoiwcB7aS23FOTgIDEXkd8O8A/3N2+B34HIuE7e9bUFNC/6LTMwCEBBY1IHA0IGgNDmN5GcQV22PyMlgOhSYgaAMQqk7f/FsNCKnD54AQO0IDEJp5GUYAoe7kdQcf344DwliHHdNtAULxfUqdYR11x2YxIPicDNk+MJWXQbMOr5qDQhsQcgCYBARKQJiTU92E/x74Y8CXZMeOyLWI75AKmEEZGkcdQ7gZ7bhmtaOKdw2uQTuarKYdGcQQzk472tO88GrHVgxh1GXIWQthNIYQJyspD4d2nJGjLQMR+Sbg86r64SO//24R+ZCIfOjpF/5Z6QbkLoMLfd9G/CmXwQXLwLbWsDsZWgjOZeZ9ZiW0MjeFJzdwGRqZm6LesS7D4eBbQn+YdRnk0HvwqsqamZvGXAar75C7EcFSqC2E3utbFqY48sfPSVf68FeP+sUxilF8scvQD/fHdAcWQp+uLbcQ8lE+fs/qjVmZwgBj0bwFLoPP3hS2kLkM9niShdD3ljGpdBlamZvyY4tchgVuwqkZld4uIt8IfBHwKhH5Xzki1+IrX/16C2wTqcQQFFI8DePheoZ2vPZqR7Xg321zO55EO7KcdoxUoo3E0QIIurFonHbUEO1Ox9JIPdBVaepZB873gxHYrDNd8g1pRwOKG9KOc3K0ZaCq71XV16nqG4B3An9XVf8gR+ZajH5/9OszC8ElCyGPIZQBx8pCiMdmYgit3I5uxELYQm7HpTGEpbkdg/6S3I6FhbAwhlBaDUSrojWaD7a9xpG8HvUHVoBdB3Udtf5EDCFaDdI4n5TnXprb8YgYQp3bcSqGsCa345xcYp7B6lyLQBr1CSBgNxhNFsJa2tH8TwLmTsUQbGi4Nu24NrejWS477VjUaVdxLtpR+mEM4fa0I4MYwhracU7OAgaq+kPAD4XPv8zaXIv2oMgAgdTOapchGFOFyxB1c5fBEU3gs692XDF1eanL0Jy6POYyNKYuA5db7dg3ACE2ALa52jH0yaIs1jvtMvhjpjmsI97vKZch3ovMZcjqvv5qx2nZxAxEhYTmFSDUMQS7Vy1AGI0hRJDgfKsd47WRAGHNase1MQRz6pe8MSlvrT34OAFtQKhjCJpZXguXPz/Il6yqHRsCQj1TsTxxdSVVDCEBTcYyWFDSWWUlIJxtteOMbAIMIDUiP8qMuwyGGjenHXvCC0t0u6sdTc5AO5obcRPa0SXde087jr1kNQDCuWjHeBMy2nFOtgMGUj7ARS5DiCF4c3mhy2AN47GsdlwSQ7jVasdGXKBeywBUx2dcBrNOsn2krTtwGSZiCLXLEEFlo6sdPTD1yUJgXrYBBvYAyDo9Q0A4iXbcVzvOxxB22nFYFgDhorQjXvfStOOcbAMMCB3UHoa5DLkbAMlszQHhIa92XPOS1bWJWlSHFkK92tElU3luteOYy7B6tWM0v8vOO4gh3GK1o2sDQh1DuMVqx1YMYbDacUa2AwbhxvmOStb5G4CwddrRpi5vlXa0GMKZaMdmDOFY2jF7C9IlaMcITkocUBCW0Y4TMYT7QDvOyWbAAOvfmYUw5TLEssplKHRvRTuuSNRy32jHaHFlLkMzhmAnXegy5Ob9HO24KoZQuQzknb92J+L5tkU7+qYydBmyxxg+T9OOc7INMLCHY5/zhyF5g9hpx1vTjrFH3JB2pKH7kGnHBDJDQFhDO87JJsDAOr1CiHhnD8PiB+FvQDv2hiIaK9kE7bg0hgDbph07ylFXuD3tCItjCDvtuBwQNgEGkCwDAwTf+asYAgRLoQQEMRzIgeTWtOPU1OW1tOMSl+FStKOl6tsa7TgVQxhzGaqA4WOjHedkM2BQP5TU+ZfFEE6lHU02RzuudRl22nGnHbFHWsYQ5mRTYABDQIijuD0MGw1yNwCS2ZoDwgraUXtCQz2NdmzGEE6hHSdcBoE2IOy043Vpx8yKqAFhS7TjnGwDDKxBGcr22QOrXQYz6c3irgHhxrTj4jcmPWba0VlvynrgBmhHaut0KoaQXxckw/CCtGMEhCNpxznZBhhAETOQ+qFgbWenHbdMOyo6YBnGYggRBxa4DILXzTv50KJIv+NY2rHZ5uxzNvrfinZUxd/HI2nHOdkMGOSobL9ricuQys9IO9rU5QgS7LTjPVntSEN3px2XyWbAoDUdueUyXIV2HJu6DDvtSHgeO+3I0bRj0L427Tgn2wADe6ANKrF2GY6hHWNK7iqG8CBox1uudnystGMEgGNpx4UxBPvWmWjHOdkGGECKGTTiAjBivi2NIZhhUMUQDG0WuQzK8bRjuNYoR7gM+2rHDdGOhdVwQ9oxDIpL35g0J5sAA2sMyRIYxgVML3+QjOgOAMHMVo6jHZsuwxraEcZjCPcpt+NOO8bRfTO0YxVDGKMdlwDCSWAgIl+Kz6b01eGM3wJ8ipW5FiGzDKJZnpmb6v+W0I6m+6hpx7ncjl0Xe/Cjoh0jADxO2nFOlsQVpuTPAn9HVX8z8FvxORfX51q0m1dv4yvPR8qzbZmjMS+XgX582IPv2YORqh7xd0ok/l0kt2MrUcslcjseDmwhtyNRL/8eCfzD53Pldmzpzum1dMbLpCyz6ycds0GmVUfat0Er6effRQO7kJX5SXMeiC1RS99LeDzij83I0WAgIq8Cvh74TgBVfVlV/1+OyrVIGxBod/IWINQduywvAaHOy9AEj5HcjmXdxwHCaG7H8Hfx3I5AdC9umNtxKtnrJXI7tnSX6M0BQqmTAQJZGaXOsA4Z1LcUEPKcCzUg5HkZ5uQUN+GrgF8E/oKI/Fbgw/iMzOtzLULyEXuSOZYH/Dg/7Rj1zJe9r7SjCqtyO0L4vNOOj4l2nJNT3IQnwNcCf05Vvwb4VRamXwfIcy0e/sWvZq4B5cgf2uQSl0Gd/Q11BxZC0PN/ppdG/yUuw0VyOzrnO2jXLXYZNpnbsZW5SUkux61yO/YTuiMWQW2dDOqs688thOx8cy6D1xMuldtxTk4BgxeBF1X1R8L+X8eDw+dCjkXmci2q6ltU9S3d819cdN7RGMJCl2FVDAEqEJKh7ojLEMuxY2eOISx0GdbEEEZTubVAY8RlOEsMARa7DP4Gw5IYwsANoD6W9Ja6DM0YAiN1FueTwfmWuAwnxxBIujkgzMnRYKCq/xj4eRH5TeHQW4Gf4Mhci3mHHXbgNiBM6S2OIbhMzwDhmrkdp2II9ym34xggbCG3o7ZH88G21ziSTwEHrfNUx1uAUHyfUmd4PinOTbgPvvNlZWO5HftGDGFGTp1n8J8CHxCR54DPAP8RvouszrWoQvSzCzqxFUOQDdOOS2MIGi56a6sdT6Udx2IID5R21Nb2ArRjjCGcQjvOyElgoKofBd7SKFqXaxHSzQt9wW6u9aICEJQwiWd66nK8XVLOVGwuf87Od/JqRwsc3cfVjjZ1mQAIodFu4iWr1iFtkAid10a/HBDi81R7ttWkp7x9jOjWwcZaD4Z11boaz1fOVIzXH3APiB28VUe83wjHrHZcEkHcxAxECECglYUAUO3Hm67BQsg6+QA4suP1LDEicJSAEIHDZaMBle5jWO1osxv3l6xO6tGoq9ZNOuVs2VgWfr4HnyEglJ2+PnF1JVrAWbA85q0C2AgYRP8dv6XPAGDOZchvsDUMG53DVydpx5bL8JBox62udjRAIAPQzGXYaccTaMeweMloxxhHm5FNgAFkFoGN2sLAZUgAkO0rnLTaseUyLIwhnH21o8UQ7J6sWe1oMQQbETf/ktWJGMK+2pHaZThq6nLtMszIZsCgvoEtl8E6Xb4ftwtdBo/eQ13/uYohGDAtiCEMXIY+a7g2KszFEFSXxxBql0EPdpLgJqyPIYy6DJda7WgTk05Z7Rge8lGrHcODH7SPlu6Iy2ADWG25t8CjtBrKGIJ9mHMZJLv1fn8ihlC5DHOyKTCAutNSugzhWA0QyRIofbKmXihr6Q4AoXIZCvOwshBiEKwFCNFqYBurHW/xklUYAsI5VjvC4hjCwGUYAEc1GOX7R6x2HNRZWRF1HCt+3wCBNiA0YwjKuMtQws6obAMMJHuImRuAWqPIOvZcDOHCtKOZETvt+HBox2YMIXcZIgDcb9pxTrYBBpB6RGUhxP4n7LTjI6QdFR2wDFuhHW00bunBsK66zqvTjjOyGTCIZpVkVgDZjdRhGZO6O+34EGjH+GRmaEdD+2vSjhF8RvRo1FXrJp0r0I4zshkwQDIzuooTpM7ITjtemXbMm9CWaUfC/hZox2Shkn5b9iHXRbge7TgjmwEDD7RZJ2l0cvuw044cRztWLoN1wKmXrHqfXh4+7Rg79RG041gMoQoYboJ2nBA3q3ENsR8t+BFS0rGyLGyh0Kn1pxY3Teu1dQeLm/Iy1zqHPRip6hSK1Y4iLF7tiK8PGfmbWu0ILF7taHLr1Y6+KXDSasdsQCl0ra5c186nqe6kx7DOXJe23uZWO87IZiyD2Ln6DHFhNIZgyJuXMaJ7EdoRX/G9oR1D0O/ol6zutGPaarW/ddrRKp2RzYBBfFAxZjDvMqymHUmdN0fTR0E7Wie/JO1ogLDTjkUnL6xIsrJ6OxVDKM7Fetrx0qsWzyXxOZGP5KWFQK2TfVhFOy6IIQxG/qyOq9KOrRjC1mnHBTEEsBEyNNCpGMI9pR2n9GBYV617CdpxTjYBBpA6JVB15HmX4cHSjoofkR4L7djJ+DyEE2jHtS6DGXqprAaOsvPWuptd7Tgj2wADM4GC6RMflI2WsePAKtoxdMpN0o59Bgg77ejlzLRjfr9zl+Gx0o5zsg0wILtJ9sMIP2hFDCHevL6q0zEEBOW2tGMYbVLn1/tBO9YxBCe+s1MBwgZoxxikvSXtOAAK4sB1ddpxRjYDBnHSUWYhAKmTk93g+J1CJaF0w0Vo6sJlVjta2YIYwsBl6NMNuOpqx3PHEC652nEshmDW4blXO0o++k/HEMrj4y6DDWBFpy/OU5XFessYgn2YcxkWYMGWwAD8nfSXnbsMZXBwQQwh21oZY7pS3eCJOhnRbQHCKbSjb2wbpB2PiSFcgnZsxRD61F7uO+1oB2vd+PuzNriKdpyRU3Mt/ufAfxzO93H8C1GfZ22uRUkdW8NbWgpTeSqGoCSEJx/F2WnHLdGOG17tuDSGEAE9PJdL0Y60wGkmhoBmdduYWsUQ5sTNq7RFRF4L/GfAW1T1q/FDyzs5JtcixB/qb46m2X6Qblix1UyfbCYgqZdkx8v6q/pCmzwlt6M6+yxHz1RM1yVppmJM0CIUMxVbiVpGZiOOzlRckdtROkcxU9E615rcjgsStYzOVGwlagn7rZmK8bXn2UxFol7+vaAbBgnTHZupmM8qvGRuR+nHddNW4m8orp+kX8xUnJGjwSDIE+BfEpEneIvgFzhTrsUxQCj1dND5B52XqlPWnXSgK9QduQUIg45NXl4Cwim5HfPrLwABSgCYAIRz5Hb055NFgDA6dRmGoDEydXlQBgUATANCaPk6BIR66rLXy3RChxp2PB3plDVwlJ231l2il3feMd0BIFhntzJKnSWmwdFgoKqfBf4bfG6El4D/T1W/nyrXIrAw16IOR3eL+maAoI40kueA4Bjt5FqXuXR8YCFUnXx4vvq7UlxX00JwtZ6N+ENAKM8v3o2IHToDhJiKrWEh1IlanEM7N0zllnX22UQtVbq3oxK1HA5RNwLC4RAsh74ABDn0JSCEOhelcus1bStAiB0kAIIlWSlAI1gLZVo34jnKY0S91mg+2JrFMqij3C+AiaGu9HbNJEDoq+9DPJf0NoKMyyluwpfhrYA3Aq8BvlhE/uCK76dci7/6z2LnH3ZQTZ0Rys7eAgTrvDmoUO3nnbkFCAtdhgQAMqijCQihExdAUulqJ1WdMnQZouvgj0/mdswBQGRdbscWIHTdIpdBDz1qnf9auR37PgFB7NgGJv5Y0clHXIZVuR0zvdhRC9ChARRJt9XJa+tk0mVoAUJ+XST9OTnFTfi3gZ9R1V9U1afA9wL/BsfkWnzlK2MnLayB7FjTZSDXK2MIY+Z9y3oY7Md6ZVJvKoYw5jKsiSGcZbXjmhhC7TJMxBAedG7HwWg9HkOAYSdf7DLQ1mvFEKZ0my5DrkO61ik5BQx+DvjtIvK8+BDyW4FPclSuxQQA4x02AwkoOlQLEEbjAo2ywX7hEsio3lQMoSxfEENY4jK4uq7jAGFxbkeLIdyn3I4tQFjoMpSBQi0AYSyGMBjdJ2IIS12GZgxhxGWYiiEMXIYZOZpaVNUfEZG/DnwEeAb8A+D9wCs5Kteiv2IJnLLaDytoQI0/VtWOEX/4TjuKB8T7RjtueLXjg6EdF6DBqbkW/zjwx6vDX+CYXIvWeYqLDje1KMomHaViXy6mV85UrKcjx/4nVBOa0vkLQFDYVzuGkzRmKloHfIirHUU0TuCamrqct628DRad1trHiG4cyV1bL+5b52/UGQfJDBCQC1sGZxVJW5W8G4cOa5+j6sjU5aIjZ4CgdZmNpMP6aZwv6S6buhw7baVbdPJ4vsZMRSrdja92PEuilg2udjS0H8xUlNAe4nNPgFB2/lBn1T7i1Ve6q16yOriGpBt1sja4RLYBBpB6Zj7CwajLUFgN9tymXIbcLSAfxRm6DC3d2mWAaM20XIYx3VNWO6JKPpJtZrVj3yOdL5t1GVTSlOTaQrjxasfY6QIgbO4lq9a+yB5DBR7F1OrcZWBeNgQGABkgxABO6pbRXMM6qNePnTEfVSMATMcQ7ENmPEzHEJRFLsMlVjvmMYR7u9qRAxoeRjOGcMPVjnkMIVpk1p2Cy2Bm3sVXO54jhtBTAMKcbAwMIAKC1MdD2VgMQShdhqKTlzEE+9Ay32qLoNaN9S50Gbz1scxliGULYggDl+GY3I6wPIZQuwz7ascECIUrkOkWpvx0DKE8HiyEhhsQx8xqv2578XfHeouO1JQNgUHVFQMgLI0htFyGS6x2jK6BJMRt6Q06eEO3BQjNGIKhfAYIA5fhmJesrokhPNTVjsFA2uRqRyfx2saAAwwQ05drXfv9c7INMAhmkh9RKkAIDRrhKrTjABCmXIY8LpDrxfMlAPEPLDNNg+6Dpx1VEA7bpR2pnsuWaEeLIZzDZViABtsAA0iWgb3gA8gBoeihVnYB2jE1kNqySOcvAEFZF0N4bLRj36NyT16yWgHC1mjHKb24b52/pTsjmwED33nCTzjRZdhpRx2nHQPgPhracSqGULsM0U/XWdpx1GUIzTc99/PRjnN68bcNrmGZbAMMhPRg4ojfAIS8QcNOO2aAsJh2tBjCGMtwCdpxYQxhNFFLi3bs7XqGLkNBO/b+37lpx2NdhlvSjnOyDTCIN1CRXqL/PxpD2GnH02hHgvF1LdoRzjN1OXcZQgffaUeWxRAWoMFGwCDcTAIyxzEz2Du1hVCZ/rFspx1HaUe7AVehHSdiCItdhs4Gg8xC6PCA9wBoR2sveRvMR/FiNC+Or6cdlwQPYUtgYKNz+AWzLoNwHdoxw58aEKh0b0I71rrnesnqKbSjxRBOoB2bMxUPBw9QD4B2VOqyGjiybdXxI+1Y6VHVGffzhjshmwEDexDWEGMXmXMZFsQQTqIdXeNh2FVMuQx5XCDXi+dLAHIy7VjFEM5KO/a9r+/aqx3nZirutONoDKHUi81kVjYBBvb7NQMEYqfJjOgR2lFVKV/rlFkDJAth87SjWxBDyM5XgE4VQzgb7WgxhK2tdrQlfjvtuNxlmBE3r3IdEbGGm2GY+H0JW4ptpivE9yFEVGx+1vRiECj0k17SgWEd5n/NvSCl3Mrgmlp6vt6h7qIXpNDQXfuS1VB+tZesnvLGJM2Q6diXrKqy+AUp1txC+ZI3Jg1ekBLrYKCbjmV1aq3f1l2it8Q02IRlAGC+nB/tw6hvwZ4Mh+8d7QjDGMLgfMlCeIy0I50smqkopLr9fQ3Pfmy1Y9cNWIZb047DKcbXpR2nZDNg4Kzz9oBK4TLE4M5OOw4B4QHQjjHWMDNTcTHtaC7D4dAEhFvSjhE5rp3bMT7IcdkGGJgrgKZofg4IV6Qdyw56PtoxbjdIO8aGK7A52hHwLsPjWe1og03eBqP1kbcPq5NMd2Sm4gIs2AYYeFD1l++c+hgQJEBwcjXaMV4Q5cOQkTrGAIExXSl+QXQNWnVS60pevoB2FOZdhmuvdlxLO9qLUx/RakelLquBI9sOLIEJ2nFGZgOIIvJdIvJ5EflEduzVIvIDIvJTYftlWdl7ReTTIvIpEfk9C6/DBxCDheCcIk4R14dO4Y+LC3fILAmn/hfE40Qrwge+suNOaSVqKfIyZCZaeSwEFV1Wltdh34nXkPSG57N9Kb9bX0Oua29KzuocBBWd17O8DOokBgxz3TwvQ66TgoKkoOKSRC2Wh2EsUUuel8EChq4j+vSn5mUICVhGE7X0/WSiliIvw1yiljwvQ69hpA/1haBinndBDlVQMQ889hS6BHAx3XgsbkOdvemR6sz+4jXl+0F/TmbBAPiLwNuqY818iiLyZny+xX8tfOd/FJFuwTlC+0mAUGyhAAQPChXLMAYIxfFMP+ugYyxDGe3XQWcv6qA8XtZf1Wcdf2miFmnotgCheX1DQDhbbsc6c1PrLy8by+0YE7gkYDk5t+PCRC2EDrwoUUuLZcgB4ZAdC9vFuR1HAEGyznxybscZmQUDVf17wD+pDr+Ddj7FdwDfo6pfUNWfAT4NfN38ZVSdP/uM7UP5i0IHvRnt2OrkARR22nECEFq0I6ymHf2FjtCO/VBnlnaEQdlq2hFmaUd/nkznirTjnBwbMyjyKYqI5VN8LfDDmd6L4dhAROTdwLsB7r7iVThRVJS+t3A6QAjwcQHasfed4GjaMVxOdqbknwkn0Y6tGMJmaMdWDOEGqx21D53wmNWOFqy8wWrHqZesjtKOWrWZI2nHOTl3ALF1yiYmqer78UlXeP5NL6gTpVfBub4ABHtuasjau/PQjjbLcYO049Q8BF/HLWlHf7/PQjva1OWcdhRFtE/DgfobZjMVofNA0B9Cp6pox65rA0LowcXUZZHL0Y6NqctH045h4IrWoMva4AracU6OBYPPicgLwSrI8ym+CLw+03sdPk37rIioHzxUIrOQWwgQaJPA6TwG2rE8X219PADaEYrRP9jgIM5fY4N2jOa/PZwlLEN0Ga9IO6IsfUGKNYZL045zsiSA2JIP0s6n+EHgnSLyChF5I/Am4O/PVeaB08cGXIwZDGMILgYOsxhChpjnjiHEY1Cdx/SyOENdBqNlZ4khVLpl+UwMoaW7pdyO4e9suR0PByJFeY3cjhaUzFiGaBVGvex7mnRiDMF043Z9DGEQU5iRWctARP4K8DuBLxeRF/Hp1P4UjXyKqvrjIvJXgZ/A51/8VlU9zF6FQBdmIB76sGwdmjGEOFPRRgpzDS692jGYX8esdkQYxhBy3Xi+bPRm3mXYVzumGEJuIZzrJavahYe6wdWOsX2F59KMIeQuQ3xA4zILBqr6zSNFzXyKqvongT85f+pSnPimYBaluQx1DCF1Bwl3I3MZLrna0WU318rF9EqXoV7tGPufMAgOIuX+rVY7ev85uQxRl0YMoef+rnY8JlEL5nowHkOYW+0Ypi7nwdpTVjtGYNGyDY65DAuwYCszEDXGDFQECx854DAVQxDrbBJGHknFxfgagCN1V+zLF3nJ6qDMRtJh/TTOV4wu6Re064w/Z1kMIcYFAiDUaDMZQ3gIL1m1K1zxxiR/M8uy1S9ZNetwQQyhnqk4FUMoO3+tV/aaOdkEGECyDLrwEA0QplyGnXakOP6oaMeluR3HVjuueGPSrVc7Tk1dTpZB2E7QjnOyGTAQSkAQlRhDGHMZdtqxBARfxwOhHc+V23FJDKFFO15yteMptGMdQ1hBO87JJsAgAoFKBAQbLOoYwpjL4IfyYCbttGOhm8DnvLSj3YCL0I61y7B2tePSGMIjoh3nZBNggHgwAAaAUMcQNP9SBQiDGII1tHCXZl0GYXEMoXYZ0nmGgDCoI8OfGhBonC91/IUxhEqX4lwzMYSiznLEiu4Fkpm6OowhjLkMa2IIXQeHQwkIa1Y7Lo0hxGnLwhKXIT50kwAoOQDYo9naasc52QQYCBpdA6fCs96Nugybox175mMItctgJjahsjqGkOvG82Wjt3XyCZfh3LRjBIRz0Y5LYghdx8VpRwifHxjtaL8tjyHMyCbAADLLgOUuwyZoR5tPXscQoml+/2nH2mUorI9TaEf642lHm7p8OCyLIegBpdsc7RiMq8vQjq5sg3OyHTAwtIPok825DDvteB3aceAybIF2tLlssXNMxBBMVzPrYuoFKSvemBR7c1a2hnaMko/+oQ3mLoOh/Um044xsAgy8xaP+3gk+SKTiKcYMEHbasbYEhnGBQZ0T7sWDpR3rGIIBgKp/IYqM0I5Tb0yy9ykCtYVwy9WOa2jHOdkGGIjyxPX0AQBii7HOXwHCTjsydBlyvQhACRB82WVoxwgst1ztyCGNiNBe7WhvQWrFEOZWOxog3GPacU42AQaQxQxyCwFGXYZWDGGnHWvLYVjnJWjHVE8WQ7CGKyxzGXwjOD6GICGQKNp0GWIwI/okFe3IYQgID412nJHtgEFAt9jhwy/owzRl2GlHGudruQxTwEGlS3GuI2nHqeXPESQ4H+2odj4SIDj1lkoVQzjpJatjuR1HXIb40E0CoOQAYI/mJrTjjGwCDARw4dc8cT3PehcBwdyHMdrRP0TdaceRuMAo7Ujq6FbnvaEdx1Y7tmIIsJx2VPFzG8ZmKtaAMEU7mmyJdpyRTYABaHATEiD0KoMYQs+QduwMLKx/stOOZ03Ukp3v5NWO+QiHXJ52tDcmLZ26HKjFs9GOS2IIV1ztOCebAAORFDNIIemwtzCGsNOO2XYh7Vi4ApnuIpehQptFtKOGa1sSQzgH7QjBTRjGEFbPVDSW4Yq049LVjktpxznZBBhADgaQA0IrhtCJNlmGLdCOLUDYKu1YjOKZbjrXxmjHYC+futpROcwCwira8carHZfSjnOyCTAQlCfS0yP04uMCYy5DpCAvTTtac15JO07GEFougwW6yTqJEurMOq25DGQdeyqGkLsMuV4EINoug3235TJUMYSjaUd7Y6/9rKW0Y3hwR9GOFSAgPkYwl+x1dLVj7jKwsdWOwe2NTznozslGwCAEEMP8yVNdBnNlIQHCatpRYBBD2GnHsiyPIayhHQ1whGUuA5xOO7ZWO+YTkPqskq3mdkRZRDsaWNggYS7DjLg5hZH0an9GRP6hiPyYiHyfiHxpVnZUerVOFCc9TrT663Gkff9GpOyzHYfqGCx5yWozUYuZykIoy49rUeZ/dHjQ2fe0+TnpFCZ5oadRv1XHWNm0rgy+M16XDOpUG4WK80kEhGGdQXcsUUtRl0Q9QvlFErWE7exLViGYjWXmptFELZp00stXg9l57pesRks2gFNm7S16yeqMzIIB7fRqPwB8tar+FuAngfcCnJJezaEREJ7Yn+sLQLB9A4QnrqcLf09CXkYr71yPE/+iVRGrW3GuHwBCndtRXAAKlwBABM6V27EGBHWhU7kKEFxWVnVOdZSdeEw37kv53eJ86Xihm9U5AAQHg9yOTrI6M0DIdXNAOCa3Y/Zm5WZuRzPV69yOnbtObkcDhJHcjgUgrM3taNsMENbkdpzvgzPSSq+mqt+vqs/C7g/j8yPAkenV/HTkA0+kLy0EhhbCk9DxO9ewGCoLoXN91umz8gYgXDK3YwsQYmck6ZYjsQ46ezGKUx6fHPntXHW+xsY2AYAM6mhZCMPrS4CgrrQQCusjBwSXbcM5RgEhpl1Lf01ACB1+a7kdB8lezUK4cG5H6c/gJiyQbwH+dvj8WuDns7LR9Gq5WNu2Dn+My5D/5YDQdBmoOv+Uy5Bf5JEuQ/p+3oEydyArH3MZRs17qk5Zd9LBVqrrGNNr6y5xGWzf/+4Zl4H8d1SAsNBlsPMsdhl8YxsAwpK8DJMuQws0RlwG6YdlF8vtuFBOCiCKyPvw+RE+YIcaas0rynMtvvLXPc9dZBMCwglAj8uDdPhjU7SjodsU7Wg6O+3oC5p6oewY2tEHreT+0Y7SmLo8MlMx0olH0o7xoZtcmnZs9cxKjgYDEXkX8E3AW1Xjr1qcXi3PtfiVb3612nTkO3fgad/5tQo4cAd6datox7HlzzvtyOOmHedesgrLpi5zQMPDWPWS1cbU5eQquYvTjnNylJsgIm8Dvh14u6r+86zogxyRXg0o3IA7d2i7DI0YwlqXoRVDGHMZmjEEGYkhjLgMw7+kN3AZVsQQpsz7Yf1jujJZxzEuQyxrBC5rl4H8OoqgogUaj3AZ6r+8LMYKhCKGcILL0Iwh2F9D5+wuQ8DDmmU4xmU4Nr3ae4FXAD8QkPGHVfU/OTa9mgCd8cGZG1C7DOCCxWCy3mXwA9g2Vzsqy6cuj7kMjatg1BWQ4hcE0GvXSaVrdfrymanLRZ0zU5cvudoxXhvJQnBKK1HLRV6yCqlTzrkMYRBavNrRnsyUyzAjx6ZX+84J/dXp1ezlJk6VpyQn0lyGHBCewKjLcN9XOxJBJQHC5GrH0NEKN4DwoY4hjLkMffwFhWvQchlWrXa0F2tkPszNVzv2pJesmsuwZLWjzsxUtBhCeuo0X7LquOBqx6y9jK12nJFNzECEZBnccRgAwkGF3vgxg1RlMFPxPq52XPXGJKkshHCZm1ztGOo1l+Gkl6zmIxyyarXjIIZgZV03jCGM5Xbse7SeqdiKIYSg6SZWO1YzFZW83bVlE2AgwddHe3q6gctwQHyMINrG0y4DcG9WO+Y2/bEuw7DMRlIG7gTVfgkey1yGwhXIdJe4DP53tacuD1yGM6x2LG8gR7kMJ6927GBNbsdVU5drl0Empi7PyCbAAKALaxOiZZC9puoOcw00a8GXoR19fBnkgdCOg6uIo3jSja6BFL+gCRxl599pRzNbfGccoR3H3ph0jkQta2jHGdkEGAj4UT4DhIO40RjCpWlHD+Qbox216piuAgRn11W6DKOA0NK1ziqPkHacW+0I7RiCAL2PA1yUdlwTQxhxGeZkE2AAwTKI4Wdr6Y4uf5FlFkOoXQZ0GEOwFvIgVjtSWryKjeQLXYaiznKEL3StU1duQHm+crvUZYhlC1yGwvrY2GrHMoZgJtXQZWiudrQYQu0yNGIIwDqXYWa145xsAgw81tkwVQJCL9a7/APqtaMT3WlHUnU1IDxY2nEsUcuVaUf/PTk+htCaqQhcnHackW2AgcCde0avvkM/1Y4xl+EJ3jW4NO245I1JO+1IPH4V2nEshgDbpR3n8jJcgnbswjOyY1IaRGOyCTAApbPWiO/QLZfhmrSjqFC0lUdAO9a6O+1IGUMQZfCS1TnacSovw6Vox0Moq1yGOdkEGAjgMhfBpbBzAQhjtCNYABLmXAZYHkOoXYapGMJDoB2ldb4IHhujHW2monI87RiuIcqUy3DkS1a3lNtxTjYBBkCyDNRBcBmAAhBGaUfRgctwqdWOflTcJu1oPvijoB3HZiquoR3x54PL0Y5H53Zc85LVsRiCxtbpAXVGNgEGgnInz3A4nkJs2XcwG0PIXYbHTjvGGIJ5VpnLcBbaMXcZcr3oDpUA8ihpx6W5Ha9BO4aAq9GOc7IRMCCbgVi7COMxhJ12vDLtaNuddvQn6QixhaHLkFuv/iYuoB2tjV6IdpyTTYABaIwFODIgmIsh3DfaMV7TTju2AOH+0Y7qR+TcZWjlZVia2/HSqx1nZBNgINikI7+Tuwp5DOHatOMpiVpGacc6hrDTjqXLsFXacWWiltxlWJyXAS662nFONgEGCN4iyIYU7zCUMQQYdxkuQTuekqil+DFjtKOC9Dvt2KIdfWBvGEPw5vINaMc8hjD3xqSluR2XzFQ8I+04J5sAAyGkTMuHlDCE1TGEMZehFUO45GrHtLrxBNoRiPRPDhwLXIbCGojfuC7tGLcXoB2b8xCi+7dB2nEsUcvGVjtOySbAALI3HVWAMIghjNCOrRjCNVc72uB3NdqRRoe1T1eiHUtL4HjaMZVvj3ZsxhAu8ZLVFu147tWOM7IJMHAod3LA0dPheLlqQS2X4c6+XM1DmKIdY4vcaUdyl+HWqx1Nd4u0YzOGcCLteFRuxzyGkNOOc7kdsxjCnGwCDKBctdhF059oIbRchhYgzNGOz/ouWgg77XhG2tH89A3Sjun5scxlgNNpxxNchnHaUcOIk7kMh8MAEMDAue1OjMmsSivXYlb2R0VEReTLs2Orcy36uGdPJz0dnmbsJD+W0qx1lFv/BuVsKxr18+8BKcUaxyVquY+5He2zmeTD72Q6jTrGyqZ1ZfCd8bpkUKffSrF/Sm7Hsm6JesRyAfvL96+R29ECPHOJWrQnUpQLE7UMymZkiWXwF4H/AfhL+UEReT3wu4Cfy47luRZfA/wfIvIbl7whOacWgVGXYSu041lWO3qFFEPYVzvGOh8k7QjHuwxwOu04I7OarVyLQf474I+RWjkcm2sR5Y4Dz1ncILcAKgvhTg7cyTMfYyj0+lELweuWeRkulduxcxqTvc7mdnSlhSACMbejqywE17AQHJw9t6N9t6ojPKhiZE71N/YdnD23Y7w2yc6ZRv/aQiisD0ca4c+d2zEkcW3mZbDjnYsWws1yO87IUTEDEXk78FlV/VgVmHgtPhGryeJci2YZdIWD6ehHWIaddkwxhJvTjg3dOHhfkXZsxRA2QTvGouWrHRfRjoCtiFxCO87JajAQkeeB9wG/u1XcONZ0VvJci1/5midx1WI/mAlDAQA5IOy044jLwEiHHXEZ1tKOA5chHCv2XTrdTjs2XIZz0I4qQ5dhinackWMsg98AvBEwq+B1wEdE5Os4Mtfib/4tr9D0PoNnOHV0ohzo4yWupR3XrnaMLXKnHbOOY9dV4bNah8w69lwMYacdL0s7LljtOCerwUBVPw78WtsXkZ8F3qKqvyQiHwT+soh8Bz6AuDjXYmctK7cMcB4QsuNLaUfwI/+1aMfW1GUbLB4i7ZjcgGSCjroCjjjFeG7q8pjL0Jy6nJ3vWNoxUaIscxngdNpxYrXjSVOX65mKI6sdx+SoXIuq2kyvdlquxQj/BSAsjSGcutoRQsfPXIapGMLAZQggAMMYwoNe7ajDslFXQFkcQ4id1nQNfBgCQgSOzOVJdd6T1Y4LXYZmDMFGi3qmIlDEEGbk2FyLefkbqv31uRaxGYhlxx+LIZyDdnxKhwvbJxxwuOYbk25BO/Zmfk/FEG5EO7Y6OaENxrI5lyHr5EfRjgq2wCt1tEwvtKMHSzuqUCRqgYW047RsZwaidQg5VK0nxRBerlrV0GVoxxBg6DLcceBAe7Vj8cakCZfhmJesLlntWM9DOGW1o3UcKzt1teNYDIERl6HG8miWW1yA7PFVLsMghpCXSWUhzMQQvLm80GXQcJ4lqx0thmB3eO1qR1EGL1mFaUDIE7WsecnqjGwCDITMRIcwgh7vMpxKO9qMxUvQjmtiCLXLIEhah7KQdiw8CSu7Me0Yt5egHa2siiEY2iyiHZHLxBBql8GjfSg6M+3YWu04I5sAA7AXogIKB+u0FSA8BNpxLIawhHZUyeiye0w7lpbAmWlHSJ08Pv6VtCN6mRhC7TL0znfcU2jH2mWYWO04J5sAA4fGv6fieE57DqKNGMJOO+604yOkHVUYTdSyJLdjPM+0bAIMAJ6TngNCH1uhPz7mMlybdlzyxiRrITvt6D/stGP2gONDts/LacdmohaApS9ZdcA8qbcNMBCMBlUO1glmXAYP7KXlcEnaEbxFQXAZdtpxpx0vQjuGh5K7DM0YQvaS1clELXbcFaNAUzYBBuAtNtRbCC+bgyNMuAw77bjTjvecduw6OBzSdVqnbrxTMb5kteEyFIlamrRj+F0zsgkwiJZBBggHfMd5ancfWEM7PgeLYggwdBmmaMdL5na8V7Tj2hiCxtvdAIBsX3k8tKMBwhjtyCH8DpouQzNRy2QMYVo2AQaIxEVY6YkqB6RgGWAN7ci9e8nqmhjCzWnHwjRfEEOAtksy4go8etrRXrKqxiwMXQaKtpkBgtGOnVmHfQxKTskmwECwzqzpQMNlQHfa0W7GTjtWHbyh2wKEe0M7nmO1Y+UyzMlmwOAO8TGOEUDYaceddox6lcG3044TtKPFJXKLZEQ2AQYArjDzh4BwKdoRYXGilgdBO7ZiCJJVF2XCZYDCZUgjeWkh5HUWLoPwcGnHVgzh2rRjDgihHd6bSUeC0GW2Xd8ABLgM7XjQKh38CtrRYghwPO0IjMYQTqYdrTg3osMIVhjdW6cdw704inaMx4aAcBLtOOYyKKG5XIB2bKx2nJu6HFmE+zTpyJE69Z0y6TLYsVvTjjGGcALtiADBNbgI7biRl6y2OjkSHzn2CJouAwxjCIPzEY+PUZS+3jPRjmNvTILkMiiIzfW51GrHEEOgk1nacU42AQYC3EkXzPNDNSS0XYaddnxYtOMAAFxjX7lftCOl9XOx1Y74fiJ9j3ZdnFdQ045zsgkwMHHRvE5QP+YyICyOIey0o4QR3MrOPHW5dhmCgt/MxxBqzyV+HHEFrko7hjo2RTtio4KPCRQuwyGbdlzRjnOyCTAQxJv6WMdNLoOLdugQEJbGEGqX4RBbxDCGUNOOvZT7UzGELvyGa9KO1U3xd1OIDX02hnCGqcsDl2GgNxFDyHCsuoowipfnS5bA5WnHBNCZ7hZoR5uHEFYmLqcdp0V0gdKlRUR+EfhV4JdufS1Bvpz9WlqylWvZynXA/bqWX6+qXzFWuAkwABCRD6nqW259HbBfy5hs5Vq2ch3wsK5lAfu4yy67PAbZwWCXXXYBtgUG77/1BWSyX0tbtnItW7kOeEDXspmYwS677HJb2ZJlsMsuu9xQbg4GIvI2EfmUiHxaRN5z5XO/XkT+TxH5pIj8uIj8kXD8T4jIZ0Xko+HvG690PT8rIh8P5/xQOPZqEfkBEfmpsP2yK1zHb8p++0dF5FdE5NuudV9E5LtE5PMi8ons2Oh9EJH3hvbzKRH5PVe4lj8jIv9QRH5MRL5PRL40HH+DiPyL7P78+Stcy+gzWX1fVPVmf/jp9j8NfBXwHPAx4M1XPP8LwNeGz18C/CTwZuBPAH/0BvfjZ4Evr47918B7wuf3AH/6Bs/oHwO//lr3Bfh64GuBT8zdh/C8Pga8Ap8Q+KeB7sLX8ruBJ+Hzn86u5Q253pXuS/OZHHNfbm0ZfB3waVX9jKq+DHwP8I5rnVxVX1LVj4TP/xT4JPDaa51/obwD+O7w+buB33fl878V+GlV/UfXOqGq/j3gn1SHx+7DO4DvUdUvqOrPAJ/Gt6uLXYuqfr+qPgu7P4zPNn5xGbkvY7L6vtwaDF4L/Hy2/yI36owi8gbga4AfCYf+cDADv+sapnkQBb5fRD4sIu8Ox75SVV8CD15kGbCvJO8E/kq2f4v7AuP34dZt6FuAv53tv1FE/oGI/F8i8m9d6Rpaz2T1fbk1GEjj2NXpDRF5JfA3gG9T1V8B/hzwG4B/HXgJ+G+vdCm/Q1W/FvgG4FtF5OuvdN6miMhzwNuBvxYO3eq+TMnN2pCIvA+fbfwD4dBLwL+iql8D/BfAXxaRV134Msaeyer7cmsweBF4fbb/OuAXrnkBInKHB4IPqOr3Aqjq51T1oKo98D9xRrNzSlT1F8L288D3hfN+TkReCNf6AvD5a1xLkG8APqKqnwvXdZP7EmTsPtykDYnIu4BvAv4DDU56MMl/OXz+MN5P/42XvI6JZ7L6vtwaDH4UeJOIvDGMQu8EPnitk4t/Mdx3Ap9U1e/Ijr+Qqf1+4BP1dy9wLV8sIl9in/FBqk/g78e7gtq7gL956WvJ5JvJXIRb3JdMxu7DB4F3isgrROSNwJuAv3/JCxGRtwHfDrxdVf95dvwrRKQLn78qXMtnLnwtY89k/X25dGR4QYT0G/FR/J8G3nflc/+beNPpx4CPhr9vBP4X4OPh+AeBF65wLV+Fj/5+DPhxuxfAvwz8IPBTYfvqK92b54FfBn5Nduwq9wUPQC/hX0L1IvCHpu4D8L7Qfj4FfMMVruXTeH/c2syfD7r/bnh2HwM+AvzeK1zL6DNZe1/2GYi77LILcHs3YZdddtmI7GCwyy67ADsY7LLLLkF2MNhll12AHQx22WWXIDsY7LLLLsAOBrvsskuQHQx22WUXAP5/TK0/nd5SSEsAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "for i in range(0,np.size(url,0)):\n",
    "    for j in range(0,np.size(url,0)):\n",
    "        eucl[i,j]= sqrt(sum(pow(a-b,2) for a, b in zip(url[i,:],url[j,:])))\n",
    "        \n",
    "        \n",
    "plt.imshow(eucl)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x238ad6387f0>"
      ]
     },
     "execution_count": 125,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "manht=np.zeros([np.size(url,0),np.size(url,0)])\n",
    "for i in range(0,np.size(url,0)):\n",
    "    for j in range(0,np.size(url,0)):\n",
    "        manht[i,j]=sum(abs(a-b) for a,b in zip(url[i,:],url[j,:]))\n",
    "plt.imshow(manht)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x238ad69c640>"
      ]
     },
     "execution_count": 126,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "minkow= np.zeros([np.size(url,0),np.size(url,0)])\n",
    "root=4\n",
    "root_value= 1/float(root)\n",
    "for i in range(0,np.size(url,0)):\n",
    "    for j in range(0,np.size(url,0)):\n",
    "        minkow[i,j]= round(Decimal(sum(pow(abs(a-b),root_value) for a,b in zip(url[i,:], url[j,:]))))\n",
    "        \n",
    "plt.imshow(minkow)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x238ad707280>"
      ]
     },
     "execution_count": 127,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#cosine similarity in python\n",
    "#here we check to samples are similar or not\n",
    "cosinesimilarity= np.zeros([np.size(url,0),np.size(url,0)])\n",
    "for i in range(0,np.size(url,0)):\n",
    "    for j in range(0, np.size(url,0)):\n",
    "        numerator=sum(a*b for a,b in zip(url[i,:],url[j,:]))\n",
    "        denominator=round(sqrt(sum([a*a for a in url[i,:]])),3)*round(sqrt(sum([a*a for a in url[j,:]])),3)\n",
    "        cosinesimilarity[i,j]= round(numerator/float(denominator),3)\n",
    "    \n",
    "plt.imshow(cosinesimilarity)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}