turkiye+student+evaluation.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import seaborn as sns\n",
    "sns.set_style('whitegrid')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "data=pd.read_csv(r'C:\\Users\\naveen chauhan\\Desktop\\mldata\\mlp\\Turkiye Student Evaluation\\train.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>instr</th>\n",
       "      <th>class</th>\n",
       "      <th>nb.repeat</th>\n",
       "      <th>attendance</th>\n",
       "      <th>difficulty</th>\n",
       "      <th>Q1</th>\n",
       "      <th>Q2</th>\n",
       "      <th>Q3</th>\n",
       "      <th>Q4</th>\n",
       "      <th>Q5</th>\n",
       "      <th>...</th>\n",
       "      <th>Q19</th>\n",
       "      <th>Q20</th>\n",
       "      <th>Q21</th>\n",
       "      <th>Q22</th>\n",
       "      <th>Q23</th>\n",
       "      <th>Q24</th>\n",
       "      <th>Q25</th>\n",
       "      <th>Q26</th>\n",
       "      <th>Q27</th>\n",
       "      <th>Q28</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>...</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 33 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   instr  class  nb.repeat  attendance  difficulty  Q1  Q2  Q3  Q4  Q5 ...   \\\n",
       "0      1      2          1           0           4   3   3   3   3   3 ...    \n",
       "1      1      2          1           1           3   3   3   3   3   3 ...    \n",
       "2      1      2          1           2           4   5   5   5   5   5 ...    \n",
       "3      1      2          1           1           3   3   3   3   3   3 ...    \n",
       "4      1      2          1           0           1   1   1   1   1   1 ...    \n",
       "\n",
       "   Q19  Q20  Q21  Q22  Q23  Q24  Q25  Q26  Q27  Q28  \n",
       "0    3    3    3    3    3    3    3    3    3    3  \n",
       "1    3    3    3    3    3    3    3    3    3    3  \n",
       "2    5    5    5    5    5    5    5    5    5    5  \n",
       "3    3    3    3    3    3    3    3    3    3    3  \n",
       "4    1    1    1    1    1    1    1    1    1    1  \n",
       "\n",
       "[5 rows x 33 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x15f16369b00>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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AcFuzbNu2nbyD559/Xvfff78KCwslSd/5znd06NAhJSf/510gn8/n5AgAYKxFixZNWHP8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\nQ9gBwDCEHQAMQ9gBwDCEHQAM828gaCUV+pQwIgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x15f16369dd8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data['nb.repeat'].hist(bins=50)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>instr</th>\n",
       "      <th>class</th>\n",
       "      <th>nb.repeat</th>\n",
       "      <th>attendance</th>\n",
       "      <th>difficulty</th>\n",
       "      <th>Q1</th>\n",
       "      <th>Q2</th>\n",
       "      <th>Q3</th>\n",
       "      <th>Q4</th>\n",
       "      <th>Q5</th>\n",
       "      <th>...</th>\n",
       "      <th>Q19</th>\n",
       "      <th>Q20</th>\n",
       "      <th>Q21</th>\n",
       "      <th>Q22</th>\n",
       "      <th>Q23</th>\n",
       "      <th>Q24</th>\n",
       "      <th>Q25</th>\n",
       "      <th>Q26</th>\n",
       "      <th>Q27</th>\n",
       "      <th>Q28</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>5820.000000</td>\n",
       "      <td>5820.000000</td>\n",
       "      <td>5820.000000</td>\n",
       "      <td>5820.000000</td>\n",
       "      <td>5820.000000</td>\n",
       "      <td>5820.000000</td>\n",
       "      <td>5820.000000</td>\n",
       "      <td>5820.000000</td>\n",
       "      <td>5820.000000</td>\n",
       "      <td>5820.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>5820.000000</td>\n",
       "      <td>5820.000000</td>\n",
       "      <td>5820.000000</td>\n",
       "      <td>5820.000000</td>\n",
       "      <td>5820.00000</td>\n",
       "      <td>5820.000000</td>\n",
       "      <td>5820.000000</td>\n",
       "      <td>5820.000000</td>\n",
       "      <td>5820.000000</td>\n",
       "      <td>5820.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>2.485567</td>\n",
       "      <td>7.276289</td>\n",
       "      <td>1.214089</td>\n",
       "      <td>1.675601</td>\n",
       "      <td>2.783505</td>\n",
       "      <td>2.929897</td>\n",
       "      <td>3.073883</td>\n",
       "      <td>3.178694</td>\n",
       "      <td>3.082474</td>\n",
       "      <td>3.105842</td>\n",
       "      <td>...</td>\n",
       "      <td>3.261684</td>\n",
       "      <td>3.285395</td>\n",
       "      <td>3.307388</td>\n",
       "      <td>3.317526</td>\n",
       "      <td>3.20189</td>\n",
       "      <td>3.166838</td>\n",
       "      <td>3.312543</td>\n",
       "      <td>3.222165</td>\n",
       "      <td>3.154811</td>\n",
       "      <td>3.308076</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.718473</td>\n",
       "      <td>3.688175</td>\n",
       "      <td>0.532376</td>\n",
       "      <td>1.474975</td>\n",
       "      <td>1.348987</td>\n",
       "      <td>1.341077</td>\n",
       "      <td>1.285251</td>\n",
       "      <td>1.253567</td>\n",
       "      <td>1.284594</td>\n",
       "      <td>1.278989</td>\n",
       "      <td>...</td>\n",
       "      <td>1.268442</td>\n",
       "      <td>1.276848</td>\n",
       "      <td>1.269974</td>\n",
       "      <td>1.268358</td>\n",
       "      <td>1.27259</td>\n",
       "      <td>1.275909</td>\n",
       "      <td>1.257286</td>\n",
       "      <td>1.270695</td>\n",
       "      <td>1.291872</td>\n",
       "      <td>1.278709</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>2.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>2.00000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>3.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>3.000000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.00000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>3.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>4.00000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>4.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>3.000000</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>5.00000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>5.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8 rows × 33 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             instr        class    nb.repeat   attendance   difficulty  \\\n",
       "count  5820.000000  5820.000000  5820.000000  5820.000000  5820.000000   \n",
       "mean      2.485567     7.276289     1.214089     1.675601     2.783505   \n",
       "std       0.718473     3.688175     0.532376     1.474975     1.348987   \n",
       "min       1.000000     1.000000     1.000000     0.000000     1.000000   \n",
       "25%       2.000000     4.000000     1.000000     0.000000     1.000000   \n",
       "50%       3.000000     7.000000     1.000000     1.000000     3.000000   \n",
       "75%       3.000000    10.000000     1.000000     3.000000     4.000000   \n",
       "max       3.000000    13.000000     3.000000     4.000000     5.000000   \n",
       "\n",
       "                Q1           Q2           Q3           Q4           Q5  \\\n",
       "count  5820.000000  5820.000000  5820.000000  5820.000000  5820.000000   \n",
       "mean      2.929897     3.073883     3.178694     3.082474     3.105842   \n",
       "std       1.341077     1.285251     1.253567     1.284594     1.278989   \n",
       "min       1.000000     1.000000     1.000000     1.000000     1.000000   \n",
       "25%       2.000000     2.000000     2.000000     2.000000     2.000000   \n",
       "50%       3.000000     3.000000     3.000000     3.000000     3.000000   \n",
       "75%       4.000000     4.000000     4.000000     4.000000     4.000000   \n",
       "max       5.000000     5.000000     5.000000     5.000000     5.000000   \n",
       "\n",
       "          ...               Q19          Q20          Q21          Q22  \\\n",
       "count     ...       5820.000000  5820.000000  5820.000000  5820.000000   \n",
       "mean      ...          3.261684     3.285395     3.307388     3.317526   \n",
       "std       ...          1.268442     1.276848     1.269974     1.268358   \n",
       "min       ...          1.000000     1.000000     1.000000     1.000000   \n",
       "25%       ...          3.000000     3.000000     3.000000     3.000000   \n",
       "50%       ...          3.000000     3.000000     3.000000     3.000000   \n",
       "75%       ...          4.000000     4.000000     4.000000     4.000000   \n",
       "max       ...          5.000000     5.000000     5.000000     5.000000   \n",
       "\n",
       "              Q23          Q24          Q25          Q26          Q27  \\\n",
       "count  5820.00000  5820.000000  5820.000000  5820.000000  5820.000000   \n",
       "mean      3.20189     3.166838     3.312543     3.222165     3.154811   \n",
       "std       1.27259     1.275909     1.257286     1.270695     1.291872   \n",
       "min       1.00000     1.000000     1.000000     1.000000     1.000000   \n",
       "25%       2.00000     2.000000     3.000000     2.000000     2.000000   \n",
       "50%       3.00000     3.000000     3.000000     3.000000     3.000000   \n",
       "75%       4.00000     4.000000     4.000000     4.000000     4.000000   \n",
       "max       5.00000     5.000000     5.000000     5.000000     5.000000   \n",
       "\n",
       "               Q28  \n",
       "count  5820.000000  \n",
       "mean      3.308076  \n",
       "std       1.278709  \n",
       "min       1.000000  \n",
       "25%       3.000000  \n",
       "50%       3.000000  \n",
       "75%       4.000000  \n",
       "max       5.000000  \n",
       "\n",
       "[8 rows x 33 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "instr         0\n",
       "class         0\n",
       "nb.repeat     0\n",
       "attendance    0\n",
       "difficulty    0\n",
       "Q1            0\n",
       "Q2            0\n",
       "Q3            0\n",
       "Q4            0\n",
       "Q5            0\n",
       "Q6            0\n",
       "Q7            0\n",
       "Q8            0\n",
       "Q9            0\n",
       "Q10           0\n",
       "Q11           0\n",
       "Q12           0\n",
       "Q13           0\n",
       "Q14           0\n",
       "Q15           0\n",
       "Q16           0\n",
       "Q17           0\n",
       "Q18           0\n",
       "Q19           0\n",
       "Q20           0\n",
       "Q21           0\n",
       "Q22           0\n",
       "Q23           0\n",
       "Q24           0\n",
       "Q25           0\n",
       "Q26           0\n",
       "Q27           0\n",
       "Q28           0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x15f1665dbe0>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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UlEUAAAAAFJRFAAAAABSURQAAAAAUlEUAAAAAFJRFAAAAABSURQAAAAAUlEUAAAAAFBpr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\nKCiLAAAAACgoiwAAAAAoKIsAAAAAKPw/QbcQhFkxQPEAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x15f16a403c8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20,4))\n",
    "sns.countplot(x='class',data=data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x15f16a9c630>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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AICFiDwAAAEBCxB4AAACAhIg9AAAAAAkRewAAAAASIvYA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\n+BziZa0AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x15f16a5ed68>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20,20))\n",
    "sns.boxplot(data=data.iloc[:,5:31])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]\n",
      "[2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2]\n",
      "[3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3]\n",
      "[4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4]\n",
      "[5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5]\n",
      "[6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6]\n",
      "[7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7]\n",
      "[8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8]\n",
      "[9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9]\n",
      "[10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10]\n",
      "[11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11]\n",
      "[12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12]\n"
     ]
    }
   ],
   "source": [
    "questionmeans=[]\n",
    "classlist=[]\n",
    "questions=[]\n",
    "totalplotdata=pd.DataFrame(list(zip(classlist,questions,questionmeans)),columns=['class','questions','mean'])\n",
    "for class_num in range(1,13):\n",
    "    class_data=data[(data['class']==class_num)]\n",
    "    questionmeans=[]\n",
    "    classlist=[]\n",
    "    questions=[]\n",
    "    for num in range(1,13):\n",
    "        questions.append(num)\n",
    "    for col in range(5,17):\n",
    "        questionmeans.append(class_data.iloc[:,col].mean())\n",
    "    classlist+=12*[class_num]\n",
    "    print(classlist)\n",
    "    plot_data=pd.DataFrame(list(zip(classlist,questions,questionmeans)),columns=['class','questions','mean'])\n",
    "    totalplotdata=totalplotdata.append(plot_data,ignore_index=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x15f17285e80>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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zh7WAAREREa16enII1gtfgbr9cmibKKiF+fjnICt2JnFkqUdbPuiui84JX+tJ6JHO2Aem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4Xb8iu5JW8uOZ6UURyZjTAMrEPHsKpqsA4fj3kZxnC7kMtnolSWIhXkTMhrbbwxd1ZjvLYu9l5J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\n6Z7x0227S0DPMd2+IYHsMAM7UiC4IzukQwI+skMCu+D2zWuDq/9nZ2Rx1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28Vmldh+fHxDE43MXuWLQjwdUdLRzfeZmaqxarZHq48fjcxcdUXtdTaedSzbl0i4PfWv2vnqF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9pUnq4N0RWpeDLLcOMcEysnfPjOhdAEzr/vx7pH3+X2G8B9TTETSjIHc8hnzDst\njXx/Rz1q5NfjY/kTuWva7AHd0ROagrOpmvZDa+g6vr6PWGEw2kibcAGZRauxZ5ciSfEvslOhNXpQ\nqlvQdnbASZN8w7RU5IpcDBOTek1KVSWAx7HtrMvRXOEQd9ZXRXfRxyXY+HnZYnITbIP1NgeV1xqP\n8aPd26Kf+avzJnLX9NmDIojGGTwqHS3cu60GgARZ5nfl8W4wcQaOTW0t3LNV/3zZjUZ+X7GScaP0\nO68nAVWjtt1NZauTjQ4XnaG+nTIlYEaqjaVZKSzLTmFiouWchQ6fonLjxr3R0rf7Z0/g0vHn3op5\npBAIdvHKO9cSCrswSEYu/8iLJNuHJoBYPdBF+C/7iGUTM8xIx3TNpBGx46+qId7Y8GU6nHrr7JlT\nbqC05GunPF/RNLZ3dURL0ZoD/j7nSMCslDSWRUKuR9o94G9HDvLz/XonqMJEO78rXxEviY4zqAgh\nuGdrDVXtulNzqDpujnTiAlGcc0YTgn/tU/j7nu6SsvF2vaSsIPnDxQuhaoT+eRCxWy/z8Rqg+qIc\nVi8aWd0KXms8xiO7tvKBN+rTE4r5+pQZAzaR8HUdoL1hDR2H/0M40H7SUYmknPlkFl9OasEqZOPo\ndqQMNcIdQqltRa1rBV/vCb6UY0OuyEGelYFk7Pt5DfkcuJo342quxtVcc1rlaFLWfO4/2Mhuly4S\n5VoTeGr+EsaPsgXT348e4ol9O6L//tzEyXxl8vQRMXmOc+b8cv8uXjyiC56T7En8euGyeIlgnHOm\nLRjgi1Vro508fzB7PhfkjB/mUQ08mhDsdvqobHVS6XBxKJILdDJ5CWY95Do7mdmpdoyGM/++fHTH\nUV490QHAypwUfjD37LttjkRqtj3K/iP/BKBk0vWUzbxtSF5XCEHoNzsQLX3Fkw8wf2kGhryRIZy4\nPEd5be0NKKoPkLhg8VOMyyr/0OcJITjgcbGutZkNjmb2R1zNJ1OYaI92RJuenDqs5YsH3C5urllP\nWGgYJYlny5czJWlkxUvEGZsc93n5QtV7hDSNBFnmxcUfGTPxEGdLXCCKc064gnqXsvcd3SVlS/Nl\nvjT3w0vKQBeHwv84iLYnIg7J8Ov5dr51SclZTaoGi/89fpjH9rwf/feNRVO5qXjqOU/YwoFOOo68\nQXvDq/g69/U5bkkqILP4ctILP4olMd6i+lwRYQ11RztqdXO3tfwDEo26xXxBDpI9drnAmZSjKbY8\nnkm+lgOangeVbbHy8/lLRkUXKSEELxzaz28b9kYfu3XydD5fOGUYRxXnXFE0jdvrN7G9S194Xj6+\ngO/MKB3mUcUZzahC8I36TdR36psaV+VN4Fslc4d5VEPDCV8wKhZt7/Sgxpg1JxllFmUlszQ7mYrM\nZBKNsd0QfkWlvsNDQNVwh1V+tvs4oOcePb90OqnmsSPkdjj38traGwCB1ZLBVRe8hMk0NIKM1hEg\n9PT2fs+Rl4zDdFHBkIzndDh07DU2bvkeAFZLBpev+hNWy5m5yZr8vqizaFtnO31TiyDTYmVZZg7L\ns3MpS8sc0hLyoKpyc836aLe2r02ZwWfjLo4BQ1/Si3jFQT/87uBefn9IX4ddmDOe788+v7WGuEAU\n56zZ067y89oQnZFNNJMBvjjHxKoJpxfIJVSN8N8PoO3Vy8rcMjw4w8S3Ly5hon3k1Ej3tLwCfGVy\nCdcXTj7r62lqGGfjRtoPvYrzRCVC9G61K5vspE+8mIyi1SRmzhpTu4YjBSEE2iEXanUL2v6u3gdl\nCcOsDIwVORhy+xdzVCWAp3UrruaamOVoAcnMr1M+zSGzPtlMNyg8Onk80/LKMMgjs/OXEIKn9++K\nZolIwDenz+Zj+YXDOq44A4Mj4OfG6nVRt8d9M0pZPX7kLIZ6IoTA3VpP59F30VQ/ieklZBRddl6G\n8I9UXji0j2cP6kJyUWISz5afn640d1ihyuGm0uGkus2FV+m7BDdKEqXpdpZGgq5zI3lC/zzq4Nn9\nTTGf82hZMYuzkgd9/EOFEII3K2/B0aGLNIvnfZfigtVD9vpqs5fwb/rmOfZEXpiN6bLCoRnQabKx\n/vscOr4G+CCv6Wdnvdh3hkJsbGthvaOZ6vbWaLOVniTKRhZlZrMiK5dFmdkkDnKn0if37uB/It02\n56dl8njZojETxj6cuDxH2bHvOY42vYuqBklPnU5J8WcozL90uIc24giqKtdXvUeT3wfAE2WLWJA+\n8jpwDhVxgSjOGaMJwf/tV3hpjxKNddGUbHIAACAASURBVMlN1EvKJqac3g1LKBrh/zkQXZy7ZPhO\niZFLy/JHVAvXnpNfgDunzuKTE4rO+DpCCHyde2lveJWOI2+gBJ29T5AMJOdWkFm8mtT8FRjO8zav\nQ4nW7ketaUHd2gbh3hMlaWISxopcDFNTkU7D0RarHC0omfhNyqc4aNZLJpNVN7e5/87kzMLT6o42\nlCiaxo93b2dN0zEAZEnigZnzuDgeaAxEHGSd+1EVPwmpxRjNo3PhVtPeyje3VCMAi8HAs+XLKbaP\nrPeiqSEObrgP54kNvR43WlKZsupnJGbMGKaRxfmA7V0d3Fa3EVUIzAYDvx2Bn6PhIKxpbOv0Utnq\nZEOrk5ZA3+BggClJCWRbTVQ6Ypf/pJmNvLxq5phaKB86/job678LQGbabC5Z9pshczVoR9yE3zyK\naPT2e558ZQGmeeOGZEynS1jx8draL+D26vfmshm3UzL5c+d83YCqUNvRxrrWZja2tUQ3DnpilCTK\n0jNZkZXLsqxcMgc45LqmvZW7tlQDkGQ08cKilWSf5+U9A0GX6yBvVN5KOOzuc2z21C8xZ/otwzCq\nkc3Gtha+FcnSm2BL5IVFq87bZixxgSjOGeEOCX5VH2JrS/dCenGezJfnmkgwnd4kRiga4Zf2ox3Q\nRRKnEe6dbiQ5P4knFk4eEZMhIQS/ObiHPx7W269KwL0lc7kib8IZXSfkb6Pj8H9oa3iVgLOhz/GE\nlElkFK8mvfBSzAkjK5D7fEMEFNQtDpSaFnD2niRJqRbk8hzkeVlIltMLTNTL0Q7gaqqhtamWx4OT\n2R8RiZJUD1/v+jO5qt6pI9odbVw5STl9u6MNBSFN5fvv17PW0QzonU9+OGcBS+LtZQHoPPYux7c8\nTdBzAgBJNpNZfAUF827HYBw5jsfTpaedeoItkd+WrxhRrZCP1T9Jy56/xDxmtKQx++p/xrPYhhFX\nOMSN1eui7YHvjrsMYyKEoMETYEOrk8pWF3tcvjN6/mPziynPHBuiW1jx8srb1+EPtgESH13xezJS\nSwb9dTWHH+XtY2j7eruFBQKJvvPN0FwfyVevGvRxnSkdzr38Z/2X0LQwkiRz6bLfkpE2cEK5KgQ7\nujpYFylFa/TH/qzOSE7Vc4uyc5los5/T5lZXKMgNVWtpD+ndbcZqftlw8NbGr9PSVnvK41dd8HeS\n7CPTPTycfHtrDRvaWoDzO1ohLhDFOW32dag8tTlMR0D/aBgN8IVZJi4sPL2SMtAzYMJ/24fWoO+Y\nOY3wrRIjzUlGfr9kGuNtw++cEULw1L6dUburLEncP7OUS3LzT+v5mhqk6/g62hrW4GquBtHblWK0\npJA+8RIyii/HljZtRDhH4nQjNIG2txOlqhlxzNP7oNmAPC8LeWEOhvQzEwW8QS/31q9nq1ffTbZr\nXr7W+WfGq46Tzjy5O9qcPuVoStBJ6/5/0HnsPTRFL73JnnYd9sxZZ/p2Ab1V7n3bNrM50lrWJht5\ntHQh89LioiVA5/F1HFx3L7Ha3qSMX8rklY+Nut9jNdJOuC7y//zCnPE8OGMOklARQkMIFaGpINTI\n3xWE0PR/a5HH+pwT47FTnEPPa/Q8R1PR1CAte18C0bdj1AdkTr6atPyVyKYkZLMd2ZSIbLJjMCaM\nuv8Xow0hBA9sr42Kyauyx/HQ7Pnxn/tp4AiE2OhwUdnqoq7dTfhDptrXTszituljw8G5Zdcv2HXg\nDwBMmnA1i0rvG9TXUzqdhN5pQNoVQhLdn02v9QCaFCLJ31tc6SkYdebXEihpw5JUgDXynyUpf9jL\nW/c0/JW6HY8DYLflsXrlHwYlv0kIwSGvm3Wtuli01+2MeV6BLZHlWbmsyMplRkraGW3wCiG4b3st\n6yPfI5eNy+f+mfMGZPznO76Ag5ffuKLfc2ZP/TJzpt88RCMaPTT5fVy/6V2CmobVIPOnJavItY6u\nBjMDQVwgivOhCCF49aDC33Yp0RDGnESJOxaYKUw9feudCKuE/7of7ZAuDrlMEt+cLnPEZuDuGflc\nVTD8i1FNCB7bs51/nzgK6Nba78+ez8rs/u3GQgi8bTtoP7SGjiNvooZ7CwuSJJOSt5SMostJGb9k\nxObPxOmN1uhBqW5B29lBtJ4ygmFaKnJFLoaJSae9MAqqKvdt30x1uy4KJRngXvNOUlvXnro7mjGB\npOwykseVk5xbjsFoY9/bX4s6WXqcSeGi+8gs7n9ScDKucIh7t9bwvlN//RSTiZ/OW8T05KF3MQ01\nuhCigaacJFRoUVFE0xT2v3snIW/jKa+TX3YH1qSJID64jtZL8BAiIq6cJKwIoZ6W4HKymILW+3jf\n63zwWspJ52g9RBwFFxZ+nPIFXLK+wLjW9RpLA/VD9eMfHCQ5KhbJZjvGyJ+yKSIimZN6Hdcft2Ps\ncY4kn3ub8rFMz6YNOdYEfl+xgmSTeZhHNfrY4/RxS1Xf5hQ9uWZCJneUnN7m1EjG5TnKq+9+Bk0o\nmIx2rrrw71gtaed8XSE0Qr4WAq6jBFyHCbiOEuw4ge1QPumOCgyie9MxYG6iJePfuG07QQJroIAU\n71wkzYzfehRJk8lzfAYJfV7bmvY6relr6GkyMlrTI2JRQY8/87HY85FNg7+IFEKwtuZuTrTopbcT\n8y5hadkPBv37qjngo9LRwjpHM1s721FjLBHTzRaWZuWwIksPuY7Vnv6gx8Xa1iYCqopHUfj3iSMA\njEuw8XzFikHPOjpf6HTuY83az/d7zpTCayif860hGtHoome8yIqsXB6eu3CYRzT0xAWiOP3iCQme\n2RKivrnbBVM+3sAtpWZsp1lSBiBCKuG/7EM7otfC+qwGbpsqcyxBojwjiZ/MLx72CbmiaTyyayv/\nadYX3maDgf+es4DF/ZTYBL3NtB96jfZDrxF0H+1z3JY2TS8hm3gJJuu5T4biDA/CHUKpbUWtawVf\nb1eDlGNDrshBnpWBZPxwwTSoqvzX+7VsbGsFINlk4melFUzQHDib9Oyi/rqjSbIFoQZjHzOYmH31\ny6csVxRCdIsfQqMj6Ofu7Vs46NUzGTLNJn5cMoUJFtMpRYU+jwk1IrDEcJ2cSuToI4JourjS65pa\nj/OVvuJN5HF6CDKxBJeTxZSerxvLEXS+cdBUwNOp1yMkA7JQuLPzBQqU5uEe1rAiGUw9BCV7P2KS\nHdn8gdjUQ3gy2Uf9JoAa9qKpQYyW1F4ZMQc9eivqkKYhSxJPz1/C7NQz66gUR0fRBJ9atwtHMHZG\nEcDD84pYlj36W32/W30XjS2VAMyfdRfTiz91Rs9Xwz4C7qMEXEd6i0Huo2gf3A+FgXTXErI7PopR\n7S7LC8tOWtPX0JlcjWxJQqhBNDUQ83VS3GXkt3yhh0j0H1rTXyVGJVofTAmZPQSjyJ8REUkewDLk\nQLCLNWuvxx/QN5oWlT7ApAlXDtj1PwxXOERVWyvrIiHXflXtc06CLLMoI5vlkZBrm2zslW/YEwn4\n5YKl8e+RAcTlOcor71xHf3Ocs/k9PF8IaSpfqFrLcZ8+N/5JaXm/a8GxSFwginNKDnRoPFUbos2v\nfxRkCa6fZeKSotMvKQMQQZXQX/YhjuriUDjRyFcmSRxLkLAbZV5YOo0s6/DuPoY1je/vqOe91iZA\nv7n9aG4589P7LrRVxU/Xsfdoa3gVd0sdJ38BG63pZBR+lIzi1dhSz77bWZyRhwhrqDvaUaubEa3+\n3gcTjcjzszEuyEay9/95DmkqD26vi9Y5240mHp+3iJIU3bXT3R2tGldTDX7nwf4u1wuDKVEPOe/j\nKFF6dczrMCTzy9TP0WbUJ2WZSgdf7XqRDC22lTzOyEOSZDAYkSQZSTIgGWSQZP3fBv1Pevy9z78j\nf74qivmH0FsKZxHgB9adJBqIXlOSjD2eZ4i8rv64fh1Dn9eVDEaInHvK8fQcb89zDDINlQ/GzG37\ngPGzb0Y2J6GGPaghj/5n2Bv5u7vH3z3dC8ghxCBbeghLiX1K4eReIlMMp5MpUf8ZDjHe9t2c2P5r\nXE3VgMCcmEvOtM+QPe1agprGl2vWc9irO2RvmTSdLxSdn/kMA8U/jjh4cs/JblCdyUlWnl08DXmU\nu9lOtGzgvepvApCSVMzqlX/EEOOzHcsNpAtCRwj7Ty7F7vlESPLOIbf9Sizh7kWcJofxT25BlJqw\npE/AmjQRkzWVrhOVHFh7D8Ro9p6av5LCjG+h/PNgdGoXLPHgnrSLgOcYQfdxAp7jp9ykORWmhKxo\nmVqvsjV73lll2LW01fHWxq8DAlm2ctmKF0hJKjzj65wrQVWlvrONdY5mNjia6Qz13diSJYkcSwKN\ngdiZRomykVdWXoLZcHr5jnH651jTWqq3PUIwFNuV/gFTi65jway7hn1zfqTSMzw9L8HGHxatiumK\nG6vEBaI4fRBC8HqDyos7w9GSsiybXlJWnHZmae4iqBJ6cW80y0Ukmbi3xMRWSXdhPDB7ApeMH95d\ng5MdHYmykcfmVfTazRBCw9O6lbZDa+g8+g6a0vtGJxlMpOav0EvIxpUPy8Q+ztAhhEA75EKtbol2\n4osiSxhmZWAsz8Ew7tR5BWFN43vv10VzPBJlIz8tW8SslL5OM707Wg2dR9/G2bjxnMffImfwq9TP\n0iXru6zjlBa+2vUXkrX+u7uMBKSIINJHCDH0Fhp6H48IGFExRdbFix5iRp/HIs8VAtoO/vuUji6A\n9KLV2DNnxhZhJEMPEeeDsRl6vW6vx3qOp4cgowsuPa4pGQZsYqcJwb1ba9jUrn8HrsjK5b/nLBjW\niaO7pZ5979yOiJFDlFF8BUWLHjjta2lqOCIgnSQihbzRx5WoyNRDcApFzg+7dbfaEGMw2nq7mE4q\nhYtZLtdTeDLZzqhDlKdtB3vf/nrMxW/WlE/yV/vFvBIpv56flsnPyhaNevFiuBFC8IeGFv7Q0EK4\nRxnznLREvje3kEzLKHeiqSFefe8zuL3HAbhw8S/ISp3Rww10JOoK6uUGOg2MlhRSpIVkHF+BuatH\nSbQBfbNmRR5SYuyfX9fx9Rzf+jQBl17iZDAmkDnpavJLv4ZBNqPu7iD8j4PR0nJ5US7GiwuQJAkh\nNML+NgLuYwTdx3r8eZyg+3i/94pYmGzZMcrWCrDYx/fb0Xbbnl+zY99zAKQlT+HS5b9DHsYOuKoQ\n7HJ2st7RzDpHc9R9cTo8OHMel4wb/aWUw0lY8VK34wkOHv139DGDwYSmndqhWFxwBRVzvxNTsI0D\nD2yvjRoHvlQ8jRuLpw7ziIaOuEAUpxfesOA3W0JsbureWVmQa+CWeWbs5jObCIqAQujPexEnIjeJ\nFDN/WpzCHzp1h8KK7BQeKh3e9t5+VeHb2zZHg1qTTSZ+1iN/Jeg5QVvDGtoPrSHkberz/MSMWZES\nsotGbcvrOOeG1u5HrWlB3doG4d47ktLEJIwVuRimpiIZ+n7OlYhz7d3IDcgWESfnnMJqHQ50sO2f\nq/sdj8magcmWHcNRYkSSDBwhhZ8qs3GjT5wnGzzcnXAYu4FTuk66BQxjbzeK4QNRw9j9Wj1dJr3O\nN3SLOD1cL70dJT1cJzFdL8PTbrTx/d/R+P6zMY+ZE8cz64q/YpBHdwaLMxTixuq1tAb10ovbp87k\nugnFwzomd+tWTmz7FR7HNgCM1jSyp17HuBlf0D9vQ4QQAqEGI2LRKcSksBc15I6eo4Y8KCcdR/Qt\nxRhcpB4CUmIvx1If95LJzokdvyPoOhzzSlssJbyQ8gkAUk1mnl+0csDbXZ/PdIUUqhwuAqrG9BQb\n01NGdyjqB26gHXt+x54TrwCQJqeRFzL17wY6CUmSsSTlY02agDV5ItbkiViSJ2AJj4MNTrQ9vV0S\nhpI0jBfkY8j48A6HQggCzkOoip+ElMI+AdTq3k7C/3OgWyQqz8F46YR+56z6+27tJRwF3cf1v3tO\nIPpZrMd495htOZH331NAysdizwPJwFsbv4ajQ/9+nFZ0HQtmf/MMrj94CCE44vOwvrWZN5tP0ODt\n22q9J9fkF/KN6bOHaHRjj9b2bWza8j08vu6sxMkTP87c6bdyomU9RxvfQVEDZKSWYLflU7fzCbSI\nkJmXs5xl83+IcRR2Yx1sWgN+PrfpXfyqitlg4I+LVpFnG96g+qEiLhDFidLQqfFkbQiHr7uk7LMz\nTXy0+MxKygCEPyIONerikJRqZtcV+dyxX99FSjUbeWHJNNKGcXfMo4S5Z0t1NJw33Wzh8bJFFFpk\nOo6+TXvDGjyOrX2eZ7Jlk1F0GZlFq7EmTxzqYccZoYiAgrrFgVLTAs7eO4hSqgW5PAd5XhaSpffC\nVtE0frhzK2+16GUGCbLMT0orKE3LiPk6B9beQ9eJ9bEHIcnMufplzLbsmIe3drZz79YavKruhliQ\nnsnDcxaOqPbmIxGhqRytfQzHgZd7PW5JKmDKyp9iTZ4wTCMbWHY4O/l6bSWqEMiSxC8WLI3paBtq\nwv52NDWAyZYzanc6hRBoiv8kF1O3gKT0417qdjp5GY7crHZDCj9J/zIBg76AuDephYXJCRgtaZis\naRitaZgsaRitqf06HuKMPdSwl4D72EluoCME3ccIaQEabCAkkAQU+cAkYs8ljZYUXQBKmhgRgnRB\nyGzP6/U7LzxhlHUn9DzAHr8KUoEd00UFGAqSBvb97YuIRBE7vbwgG+NlE89qY1Noql5C10c4Oh4R\nj87ApSgZMNtykBKz2eXfiSJ04WnxrHsonHj1iMpAO+7z8umN7/R7zmcnTuJrU2b0e06cvqhamPf3\nPsuu/X9EREomrZZ0FpXeT17OslM+r6WtnrU1dxNW9DVaVvocVpb/FEt8o7sPfz58gF8d2A3Akswc\nflxaPswjGhriAlEchBC8cUjlzzvDKBEDRGaCxG0LzExJP/Mde+FXCP1pD6JJL8OS0iyEPjOZL+48\njCOg38QeKi1kZc7wdUlyhUPctaWKPS7dzZRlsfLDAhsJjW/Qdey9PjZng2whteAjZBavJil7/pDu\nXscZXQhNoO3tRKlqjpZWRjEbkOdlIS/MwZDevVujCsHDO7fyn2ZdQLUaZH5cWk5ZjAysoKeRPW99\nhbCvtc+xCQvuJnvqJ2OOa1NbC/dvryWk6b/kK7Ny+e7ssnjd/xkQcB2h89h7qIqPxIyZpI5fMubK\nSV862sBT+3YCkG2x8vuKlaSYR7c7aqwghIYa9p2iFM7Ty70U2+nk7VMe/WGoGHgq7QscMemt1lf5\nqviY5+1Tnm8w2jBZ0yOiUSpGa1ovIcloSdWPR46NVsHvfEIIjZC3Wc8Ech/pERTdfzZQo0XgjugU\nGUHIUoy6GyZ5Yi9HkDV5IkZL/0HcIqSiVjWjbGyCULdTV8qwYrywAMO01EFzo6v7uwi/tL9bJJqf\nhXH1wLrfhaZE8pd0wahn+VrI09grP/Bk3LKgMWKYMggo9Buw28brAdn2/F7d1sz28UP+OyeE4Iaq\ntf26iJ5ZsJRZ8ZDqM6LL1cDG+u/S6eruhFiQu4ryud8+rQ6BHc59vFt1B4FgBwApSZO4YNET2BJi\nbzCer4Q1jRur10az9340dyHLsnKHeVSDT1wgOs/xhQXPbg1T3dh98ynLNfCVsygpAxC+MKE/7UU0\nR8ShdAvmz0/nkaPNvN6oO3UuGZfGA3OGz3nTEQzyjS2bOOjRb1bZBoWvu/6HFF/fQFR79jwyi1aT\nNuGCPvbjOHE+DK3Rg1LdgrazI2pT/wDDtFTkilwME5OQJAlVCB7dtS3a5cNiMPCjueUszMjqc92w\nv52WvX+l8+i7aIofW0YJOdM/Q3JO7O/Gt5pP8NDOLdHWtKvHFfCtkjkYDcNTshVn5CKE4IHttdFs\nrEUZ2fy4tBxDPGtmTCA0JSIk9S6FC/s7OFb7GF6MbEiYz3bLdIKSCRmNZqP+HVQQbuKOzucxxgj3\nPVtkc3JENOorHpl6ikuWVIyWlDEnyI4kom4g5+FeGUFB97EzzAZKRUnMYG/oAAAJ5jQurfg5CSlF\nZyxOCE2gbnWgvHcCPD3KsxJNGFfl6a7cGOXbA4160En4b/tAiYhE87IwXjE0EQlCUwh6m0/KO9Id\nSEFvEwiVFrOgK6LjJ6hQ4AcpVus1ScaSOC5G2VoBlsTcQfv92tjWwr1ba2L6H5dn5fLwMGfejSaE\n0Njb8De27P5ltEzMaLSxYNY3KS64/Ix+jm7vCd7ZdDsen745mZgwjgsWP0myPV4d0ZP6jjZur98E\nQK41gT8tXoVVHtv3orhAdB5zuEsvKWvx6v+rDRJ8eoaRyycZz84+6w0T+uOeaHcnKcOK+fPT2RDw\nc/+WQwBkWky8sHQaSabB+cUSQuBuqaPzmL5wTkwvIb3oMoxmOwCOgJ/b6yo55tfHmKW08/WuP5Oq\nde9smBPH6yVkxav1Ou84cc4R4Q6h1Lbqtnhfbxu5lGNDrshBnpWBkCV+sns7rzTqQbBmg4FH5i6k\nIuPsd3T+dfwIj+3ZHp2YXVtQxG1TZ8YX/HFOiUcJc1P1Ohr9utB/66TpfD7erWrMs7X6cb7XmR7t\nbNgTo1B4fuFi8iwmwoEOlGAX4UAnSqATJdip/z3YpR+L/F0Ne2K8yrkgYbSkdAtIlrQeQlIqRmt6\n1LVksqYjm5OGLbdspHK2bqCTiWYDRd1AhdGyMIPZzutrvxh1NqxY+CgF41ad4TgF2r4ulLePIdp6\ntKQ3GZAX52JcMg7JPLTuV7XBSfiv+/nAam+Ym4npyqIhEahOhaYphDyNeJ2H2LDzx3hCep5mNkmk\neX0gTl/MlSQZs318jMDsfMy23HN2zm9wNPPL/bs4GgmvthpkrsybwFenlMSdzKeJ19/Cpi0/oKWt\nNvpYVnopS+Z9F3vi+JjPEUIQ8jWjKYGYwef+QDvvVn+DTudeACzmVD5S8TgZafGSv5587/36aBTE\nDUVTuHnS9GEe0eASF4jOQ4QQvH1Y5Y87wtFM3XSrxO0LTUxNP7svaeGJiEOOiDiUqYtDTouBGyr3\n0BnSF8U/KSumImtwalw1NcjB9ffhbKzs9bjRksqk5T+m0dvFtw+24EAv7RmntPC1zr+QJLwYjDbS\nJ1xIRvFq7Flz45PKOIOCCGuoO9pRq5ujQmqURCPy/GwM87P/P3vnHR7HWa7ve8ruqvfei2W5F7nK\niWOnJzYBQkhIQgInEEpCIPDLoeVAKgQIECCUQyAhECDlkEJJnOruuMi9yJYty+pdq162zMz3+2Pk\nlWTLtmRLq+K5rytXrJnZnU+r3Z1vnu99n4dfVBXxz2ozXcUmyTwxdyH5MfGDPOPZ+VvZcX7f2zsN\n8LmsqdyVOdVaqbM4J0fbW7ln14d4DAMZ+NWCfOZHnt7yaDF5+J/9O9jYeHrrKoAMvLH8aqKHYUxt\n6B40dyuaqwWvuxXN1ewTksxtpsB0cttw29/OiaSgOsIHEZL6xKX+/1ZsIWP23SgMne7WYgyth8Dw\nrHO2XJ0L3dvVFxN/gdVAJ4WfPn+g9LO2KhWXvU7BgZ8AkBCzmCvynx7W62pUd+J9vxJR0a8lSQIl\nL9ZMJgsdu5ZXvawd70vHfIEU8uxobB/LGlOR6CRtHaW8vem/0HUXEjJXLP0VEQHxZlXYyYqjk21r\nXXUMx89MklUcIcl9LWthfe1r9qD4IYlH7XU7qdz3W060OXFLNpJkN+k5N5A4+26r1fQcCCEoq36P\nnQeexKuZwrssqcyZ9mWmT7kdWRr89W+v20nVvt/S3VwEgGIPJS7nptNec6+3k407v0V9024AVCWQ\nyxb9hMS4JaP8m00cmtwubt+6nm5dwybJvJC/gtSgkLEe1qhhCUQXGT1ewbP7vWyr7mspmxsnc0+e\nnTDH+V3gRIfHFId6V3mk2EDsd06DYJWH9pexsd70+bkhJZpvzky98F/iDFTu/iX1R18edF+DEs3v\n+sV6p3pr+XLryyTEzyQmcxURqStR1HOnXlhYjARCCIzSdvQd9RjFrQN3KhLyzCheie/kmS6zkkiV\nJH4wZ+GQ+56FEDxTUsTfyo77to2HVCqLicU/q8r4WdFBAKLtDp5fsoIoh2VCPBlp9bj56Ob3Mc4y\n9btnynQ+nTFl1MZgaK5eIalfVVI/Ial/1ZLX3YIYhtAxFCRZRXVE9rW8ndLiZm6L8v1bVoNGRFBq\nqVhH5d7f4Omq6R2HnZis1aTm3Y98lmShAdVA7eW9FUEXWA3kE4LShuQNdCpuTxv/WXczbk8bkqSw\neuXfCQ/NHNJjjWYX2roqjMPNA7bLuRGoV6Qix46POZpR3oHnxaN9ItHMKGw3Zo8Lkeh4+b/Zsf+H\nAAQGxLJ65d9x2E//Gxq6B3dndZ9Rdj8RydNdz/DEIxuOkOS+hLV+1Uf23kTV9rqdHFv/9UGTHKPS\nryHrksfO+3ee7Lg9bew88CTlNR/4toWHZnNJ3iNEhp85dn24r7muu/lwz8NU1q4HTAEqP+8RMpKv\nHqHfZOLT36NxcVQsP5+/ZNIuuFoC0UVERZvBr3Z6qO3XUnbLNJWP5Kjn3W4i2nvFIWevOBRnikNS\nsI0Palt47IBZBZEQaOfPy3IJUkenjFTXetj/+ioMrYduKYAj9iw8kp00rQZZCH4XcTsdiqn0ZukN\nPJSkkpZ1Hfbg4VdlWFiMJIazB72gHn1fk2/CeZKaWJnfRzWzPcqNLEs8OnsBK+ISz/58QvBU0UFf\nBZIMfHfGPK5PGj1x1mJyIoTgscK9vF9nllUviIzhqbylKJN0QnQxc6y9lc8VnCEdsZcbUzJ4YJxE\nUZ9MhfO1tZ2sSjql5a1/1dLwIsbPjSTbz2i+fZp/UkAUyiBiT0vlRko2f3vQ5w9PuoQpK36GoXUP\nWg3k6qgclkhmVgP1ij9DrAYaLjsP/JRjZa8CMC3rNhbM+vo5HyO6vWibatB3NQzw6pOSg7FdlYac\nPrLJZCOBUdErEvUaZsszorDdmIWkjG31uRCCD/d8n/Lq9wEzwnzF4p8Or4JLd+PurDlFODL/P1g4\nxtmQFAeOkGQ83fUY3q4zHpe9QFD2jgAAIABJREFU/CcERmQP67kvBuqb97PryG9weU6KphI5qTcw\nM/M2FOUslXRCULzpm7jby854yPRrnyc4evqAbYbQ2XngpxwvP5nYKrFw9gPkZt58Qb/HZEEzDD5f\nsMnnYfv47AVcHj94a99ExxKILgKEEGyo0Pnzgb6WsggHfHWhnekx5y/YiHYPnheOIJrNCYqUEIT9\njlykIBtNLi+f/bCIDs1Urp9eNIV5UaNXitflPMLhd+9ibVA+7wYvxyv1RXzKQsfoLb+cFxLATxas\nJNg2fiJALSwAhEtD39uIVlAPbZ4B+2odGm8k9vB+vItvzZvPyrA49F0N6EXN4DGQkoJRF8djJAbx\ng8J9vj5pmyTzyOy8c4pKFhZnolvT+ELBZsq7zbL2uzKn8vns3DEelcVIoRkGH9RX87ey476UljPx\nxexpfGaCelEJIdC9XWgn29rO0vJ2cv9gK+8XgqwG9jPkNoWj1urN6J72Mz5GdYSjuduGfI7Bq4FM\nUehC29bORUtbMW9v/AwCgwB7JDdc+Sp225nnfcKro++oR/uwFtx9r7UU5TArhqZHjuvVeaOqE8/f\nj/rGLk+LxHZT9piLRB5vJ29vvJPObrMibeGsB8jNumVEntvQXLg7q/u1rVX6qpCGU7VmcXYMBI12\nfMbjAKoBiW4I0kfmM6E6IggIzzR93ezhvf5u4Si2MEqbt1Nc11exNCvnLuZM+9K4/jz6i/2tTr6y\naytgJr3+Lf9ygtTJ1yJpCUSTHJcm+NN+L1uq+i6+s2Nl7l1gJ/w8W8oARJsbzwtFiJZecSgxCPsd\n05ACVYQQfHtPKdubzEnPzemxfHXayJs9CyHobi7CWfoWzrJ32STn8I+w6089CHq/0ObZevj5pTfh\nUCwzPIvxizAExtEWtO11iMqBN2xdisGmaDeXdwcT0HmK+aQEr88V/C7IXOELVBSemLNo0BQ0C4vh\ncKKznS8UbMZtGEjAz+cvYfEFGKdbjD1dmpd/VVfwasUJGtyucx4vI/HqpVcSFzA+2nxGGyEMdE9H\nv7a25tPb3/obdXvahmUIfKGojsjeNrBeg+je2PixiDEHcz72wdZ7aXDuAWDpvO+RnXbD4McaAv1A\nE9r6KujoV9UVpKJeloyyIHbMRZahYlT3ikSuXpFoagS2T05BUsd2/E0thby35QsIoSPLNq5d/iei\nztKONBLoWk8/n6Mq3J3m/11tpWju1nM/gQUALllQGwCefm+hMC/EuUEZLJlulGixCRrscPKUEbqd\nVCXODALoFZUURziqI+w0kenkvsGqJicDPyzcy9u1ZvLb7enZ3Jsz+Qy9LYFoElPVbvDLnR5qOs0/\npQR8cprKx6aef0sZgNHqxvvCEUSrWeUgJQVj/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QBYjAybG+r47oGdAAQpKs8tWU5qkFU1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\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GvQd+i2H4+HDzHVyy+AVio8Pf4iqRSE7EEDpOZw11Tdtoat1zyn33Hvgds6fePqTdEYpF\nRcmJ6bWiLDp9wcQ0UzQSNU4I9Li5cQUwytswytu6j5MaaY6kHTfATo6Qon4fGE1ujNJW9NIWs3vr\n0yigjotFnZRgdgpFy3NfT3Tdx7Y9T4V+njP1dhnSIDlrtEmJoIL/z0GRaEOdKRJdktuv763Y6Fwi\n7clBw/S+SUuePZCSzwij2Y3/jUpEVXdCmZIWifXfxqPKJNIhQytORCzPJrD6GBgC36sHsN04GXUE\ndHrm51yGzRbH2q13o+sejlS/h8/XwZI5j8kU5JMgzygDQDhP42OAmbgxWPz1aBPbW8wvPE0JUOut\nAwUiNY17Jp3H8rTBSyOQhI9PSp/laM0qAOy2BJbNewq7bXBExrHK9OLv4HTVcrj6Hby+dtZs+gGX\nLH6RCLscs5RIwoUQBl2uWto7K2jvrKCts4L2zko6ug6j694zOsaRmvc4UvMekREpJMYVkRA3Mfj/\nIqIi04dMgFFibGjFiWjFiebfRTcQDe6gaNSFqHYimj29niMa3OgNbthumudj18yRtKBgpGZFoTjO\nvRVLIUxPxpAo1OA+cScF1PxY1EmJaEUJKFHn3u/pTNlf8XKouzg38yIZ4SzpN1pxIlyl4H/toCkS\nbaoHAZYVZy8SqaqFSRO+xrY9v+jz8fjYQrLSFg1G2X0iDIG+sY7AmmMQCI4MqwqWJZloizNOmVYp\nGRy0xRkYjW6MPc3gCuB/pRzbv4c/2QwgK20hFy34T1Zvug2fv4Paxk2sWn8zy+b9Qo7n9oE0qR4A\nwhPA+/MdoJ/8V2hZkYtlXvqAX6vK6eUb6/fjNQQgMNR6UPzkOKJ4ZNoc8qPD38YnGTjlh19ny66f\nAaBpdi5a+CzJCVPCXNXoQNd9fLDxFhqadwCQnDCNCxf+Cot27pmXSiTDiRAGTnedKQJ1VIYEofau\nw+i65/QH6Cc2a2xQMJpIQlwRiXETiYkeh6oM/GJU+AMY+w5iVFSBYaDkZKBNK0KJ6F4NFS6/OZYW\nSk1z9jJB7Qsl0W6OpB3vMkqNHJM3LkIIRL0bvbQFo7QF0dTH+0BVUMcHRaGJ8eekeHa2uNwN/OOD\nqwnobjTNzuXLXyXKMfBrTMm5jV7ehv+1A6H7GW12KpbLxp21SCSEYHfZC+w9+DsMo3uBPDlhKkvm\nPIojYmh8aYwGl9k11GNMVcmMMr2GBik9WnJmCH8w2Sz4b6FOjMd6zYQR003b3lnJBxtuweVpACAm\nKpcLFjxDtCMjzJWFB5liNkT4/nYIY1dz3w9aVezfnz7gix5dCG7edIB97WYrtqG0g9rB4uQ07psy\ng2iLvKgaC1TXf8yHm+5AYAAK5895jJyMZeEua1Th9bXz7rpv0tF1BIDczAtZPOthaUYnkQwCQghc\n7vpgJ9Dx/ypp76wkoPfRFdIHVks0cTHjiY/NJy5mPPVN2zlW92Gf+1o0B8UF19LRWUlLezldrmOn\nPb6m2YmPLSQxtojEeLPTKD5mPJp25m3uosuF/+V/Ilraej8QFYn16stQU/s2WRVCIJo8PQSjLrNb\n5lRXWRYVJTMqlJimZkejxIzOkSohBKLW1S0KtfTRJaYpqAVxZvrYxHiUCNnIfjZ8vO1+Dle/A5jG\n1FOLbghzRZKxgn6wDf+feohEM1OwrMzr1429x9tCdf06AgEPSfElJCVMGRKBQOgG+se1BD6q6Q4a\n0BQsy7LRFqSHPW79XEV0+vC+uK872WxhBtaLRk6qttNdzwcbbqGj6zAAkREpXDD/aeJjC8JbWBiQ\nAtEQIdwBfL/ff+IcvaZg/WIhWtHA29b++0A1/1dhtqwLvKA2cENBEV/Ln4A6QhRZycBoaS/jvXXf\nDt1kzZp8K8UF14a5qtFJp7Oad9begNfXCsCkwq8yY9L/C3NVEsnoQQiB29NAW2flCeNhgUAfnjF9\nYLE4iI8ZT1zwv/gYUxCKjEjpdaMQ0D18uPlO6ho393q+zRrD0rk/JzVpemibz99Fa8cBWtv209Je\nTmt7Oe1dlQhxmq4dRSMuOr9Xt1FC3ERs1ug+9/e9+jai8iRiVHwstm9ehaKemegsvDpGjTOUmuY8\n2EikcZpFnVhbaCRNzY5GSY9CsY5MkVsIgah2dotCbX0YjlsU1MJ4UxSaED8ixg1GIw3Nn/Dex98G\nINqRyWeXO9391gAAIABJREFUv3JWwqdEcjr0Q+34/1QeGtHSzkvGcnn+iOn+6IlR6zS7huq7z0lK\ndjTWf8sf1HAgSf8wap1mslnQu8/6+fFo05LDXFU3Xl87qzf9gObWvUDf1xznAlIgGkKE30Df3YRR\n2orw6aiZUWhz0lATBz7a8nZNLY/urgMUBIJIaxMPTpvGguS0gRcuGRE4XXW8s/aGkLFfUf7VzJ56\ne5irGt00te7l/fU3hXxO5ky7i4ky5UUi6YUQAre3ifaO4yJQZagryB/oOv0BMLt84mLyiYvJNwWh\nWFMQckSknvFNhRAGNQ0bqar9gEDATVL8JMbnfvaMvNd03UtbZwWt7WVB0aiM1o4DZ+RxFO3ICvkZ\nHfc2srss+J9/9dR/5y+uQCvonwn+O/96h0lZhbz2zO/43pU3mH5Gda7u1e++UBWUdEe3j1F2NEq8\nPWw3bUIIRFUXejB97PgqcS+sKuqEoChUGIdik6LQQDCEzr8+/DqtHeUAnD/ncXIyloa5KslYRK/s\nwP9yeejGXp2ejPXy/BHTjSMCBoGPqs3kteNfm1YVywXZaHPSRkydEtD3teD/s5lshqZg+1pxrzCI\ncBMIuPlo693UNmwAQFPtLJ79CNnpi8Nc2fAhBaJRhhCC16oq+c/SJsBsN0+McPOfc6aR7ZAu/GMF\nn7+Ld9d9i/bOQwBkpy9hyZyfDYqHxrlOVe0aPtryQ0CgoLJ03pNDapAokYxUhBB4vC09OoG6x8N8\n/s4zOoamRXSLQMFuoLiY8UNqFN1fDKHT2XUkJBgd7zby+U+dOgowzjOFOZXzT7mPtmwulnn9X2U8\nduwYt912G6++agpRImAgap2mn1FwNI32PkSXnjgsQcEoGiUryvz/EHbmCEMgjnZ2i0JdfQRw2FTU\niQlokxJQC+JQrPI8Nlj09CdMT5nLBfOfGXGfO8nYwTjcge/l8lBEvDo1CevnxoddfDGOdeF/o6KX\np5maF4vl8jzUBOk3ORIJfFhN4MNq84coC/YbJ6PEjZzOR8MIsGHHQxyu/hdgdhzPm34PBbmfDXNl\nw8PJ9BY5/D0C8eo6T+zfxTvVHSiYK6hxNsEfFs0mSvoNjRkMI8DaLXeHxKHE+BIWzXxIikODRE7G\nMmZN/j7b9v4SgcG6rfdy8aLnSIwvDndpEsmQ0C0EVX5KDKo8I3EETA+fuOi8kABkjoeNJ8qRPmq8\nvFRFC9Wen30pYP5unO46WnuIRi3t+3F7Gns9t8to7OuQvXDRTrQRGLRoccWiouTE9FpZFZ2+YGKa\nKRqJGmdoRd8sIoBR3oZR3u2TpKRGmkLR8U6jlMiTigjCq6Nvb0Df1wJ+w+x8npuOmt5t6CoMgXG4\nw0wf298CfSW32jXUoni0kkRTFLKMjvfIaMLra2dn6a8B8+Zl9pTbpDgkGVLUvFhs1xXhe7kMfAbG\n7mb8hsD6hYKwiETCrxNYXY2+sa57o03Fckku2owU+XkYwWjnZ2I0uTH2mucQ3ysHsP17yYjpKlVV\nCwtn/pgIewL7K15GCJ2NnzyE19fKpMKvhru8sCEFohFGrdvFvbu2UN7hRhHmGJlFgefmlkhxaAwh\nhGDTzkepazJ9N6IcGSyb+3MsFjk3PZgUF1xLl6uGsspXCehu1my6nRVLXpSpL5JRj8fb2ssb6HhX\nkNfXfkbP11Q7sTF5vcfDYsYT7cgcNULQ2aAoCtGODKIdGb1Gczze1l7jaS1t5ThrOony990GrysB\n/lVzH/pbgvjYAtPTKGiIHR9TiMUyOKvYSowNrTjRjKHGNGMVDe6gaNSFqHYimnsng4kGN3qDG3YE\nRS67hpoZ1SM1LQrFYUV0+c2UmR7P1xvc6DubsHxuPIrDEhSFWsHdhygUqaEVJaCWJKKOjx2TKWwj\niZ37fxMSeIvyryEuJj/MFUnOBdRxMdi+XITvD0GRaG+LKRJdUTCsn3n9cAeBf1QiWrvHhtXCOKwr\n80ZUJ4qkbxRFwfpv4/G1ehE1TkS9C//fKrBeVThihD1FUZk5+ftE2BP5pPS/ANix7z/xeFuYMel7\nY/Ka6HRIgWgEsaW5kQf2bKPd50cx0lEwPzjfL8kmK0q2To4l9hx4iYqqNwHTGG35vKeIjOg7GUcy\nMGZOuRWnu45jdR/h9jaxetNtXLL4v09qUCuRjCS8vnZTBOqo6GEYXRkyYT8dqmojLnpcj44gUwyK\nisqU3YpAhD2BjNT5ZKR2j5X5cssx/vYhSnAAXyBC5+NdqZvxa14woKWtlJa20tDzFFRiY8aZglEP\nM2y7LXbAdSqaipIRhZoRBbPNxSPh8ptjaaHUNCd4exh2e3WMyg6o7OD4ViXRjtBF3yNsAgJ/q+i7\nAIcFrTgoCuXFSFFomGhtL+fg4b8CEGFPlKllkmFFzYnB9pViUyTy6hilrfj/cgjrlUMvEgmvTmBV\nFfrWhu6NERrWS8ehTk0aMeKC5PQoVhXbNRPwvrAXOv0Y+1sJrK7GekF2uEsLoSgKkyd8jQh7PJs+\neRSBQemhP+LxtjL/vPsGrWN4tCA9iEYAQgj+eOQQvzlYagacG3EowrygnJMUw5OzxssvwjFEZdXb\nrN/xAACqYuGCBc+QlnxuvNfDRSDg5v3136W5bR8A6clzWDb/KTRVduVJRgZeX0cvb6Dj42Eeb8sZ\nPV9VrcRGjSMuGB/fsyPoXLuwGQyMqloCH29HHKkxN6Ql4ZmeSlNSS7cZdvuBUPLkqYiKzAiZYCfE\nmeLRp9PcBgMhBKLJ00Mw6kI0uLuNXM+WaKspCk1KRM2NCbv/yLmGEIL3199EQ/MOAOaf96NzxhdD\nMrIwarrw/V8ZeEypWZ0Yj/WLhUM2Uqofasf/ZmUvIVstTsD6mXEo0bYheU3J0GNUd+H7XWkoJc/6\nhfFoU0dOstlxjtV9xLqt96EbZtdaZupClsx+ZExOeUiT6hGKKxDgkX2fsKah1twgbKiGuToYbVH5\n7aJiUiPkl+FYob5pGx9suAVDmG37C2c8QH7OZWGu6tzA7WnmnXU34HSZn7XxOZ9l/nn3SfFVMqz4\n/F29o+M7zPGw4ymGp0NRNGKDHUHxPcyiY6KypRA0BIhAAAyBYjtRTBbCoNNZRUt7Ga3t5aH/e31t\nfRypN3ZbQq8uo8S4ImKisge9lV14dYwaJyI4mmZUdYJbP+VzlNRIrJfloeRES1EojByufpePt/0I\ngKSEyaxY/MI5OeogGRkYtU58/7c/9P2hFsZhvXrCoIpEwhMg8O5R9E96nA8dFqyXjUOdlCiv18YA\n+t5m/H8xvVfRFGzXl6Bmj7yO/obmHazZdEco0TU5YQrL5v3ijNJVRxNSIBqBHHV2cc+uLRx2mm8+\nDZVYNYf2YGrAvVNzWZGZGM4SJYNIe2cl7677Zig1aFrRt2S7+DAj/w0kZ0Kns5pjdR8SCLhJjC8h\nI3XeWY9j+f1dwU6gyl6C0KdNkU+GomjEROWEOoHiYk1BKCYqVwpBIxghBG5PQ68EtZb2MlzuutM+\n16I5SIibEOw0MsWjuJj8Qe10NDp9+J765NR1LMvCcn7WoL2m5OwJBNy88cFVoe+LS5e8RFLCpDBX\nJTnXMepc+H6/P+RNphYERSLrwEUivawV/z8P90pIVKckYl0xDiVKdnuPJfxrjqF/FOzOjbZiv2HS\niPSTau04yOoN3w8t4MXF5HPB/KdxRKaFubLBQwpEI4x1jXU8tGcHTt38kk22RzAlJp+P6k2xaElq\nHA+flyfV8jGC29PMO2tvwOmW3SvhRnZxSU6GEAbb9jxFWeVr9JzLiYsZz9K5TxITdeJNsz/g6mUS\nfVwQcrnrz+g1TSEou1d0fHzMeGKic+UI5BjC62vv1WXU0l5GZ9dRBMYpn6eqVuJixnd3G8VOJCFu\nAlaL45TPOxW+P5ZhHDyJmbkC9u9NR4kfeRfr5xKflD7H3gMvAVCQeznzz7svzBVJJCZGfVAkcgVF\novGxWK+ZgGLtn6edcPnx/+soxp7m7o3RVqwr89CKEgajZMkIQwiB/88HMUpNL0Ul3YHt6yMn2awn\nXa4aPthwC53OKgAckWlcMP/pMRMWIAWiEYIhBC9VlPNSZXlo2/T4RK7IKubBXeabL86q8btFxSTa\n5c3BWCAQcPPe+ptCZqbpyXNZPv8p2QUQRj7tA7V8wdOkJ88Ob1GSsLPnwG9DcdKfJtqRxYKZD9DV\nVdUrPv646Hs6FFSio7J6iECmIBQbPQ5Nk2PE5yKBgJu2joOhLqPW9jLaOg9hGP7TPFMhNjrX7DLq\nYYgdYY8/o9c1Wjz4flvaa6X+OJaLc7AsyOjH30YyWHQ6j/Hm6i9hGH6sliguv+A1GWIhGVEYjW58\n/7sfnOZ3iJoXi/VLE87qBl8IYZpev3U4JDYBaOclY7k4FyVSXiOPZYRfx/fbUkStCwC1JMH0tRqB\nC+cebwurN/6Alvb9ANissSyf/xSJ8SW0tJUSCHiIjy0843PwSEIKRCOADr+Ph/bsYENztyP/F3Py\n+XpeETdsLKfRY37R/mR6HsvSR9+bTHIihtBZu+UujtWtBSAupkAmaI0Qdpf/D7v2/wYAqyWaFUue\nJy5mfJirkoQL3fDz13cvP+N0sJOjEO3IIj42v0dy2HjiosehabIrQ3JqDCNAe2el2WXUYXYbtbaX\n4w84T/tcR0RqyATb/H8Rjsi0Pi+4j5a/j2vNflKbJ2Ax7LQ6quia5KTowq9jscjU1HDy4eY7QtcM\nsybfSnHBtWGuSCI5EaMpKBIFhWZlXAy2ayeekUgkunz43zqCsb/H+TbOZnYNFcr7n3MF0eEzk82C\n7yHt/Eysy0ZOsllP/AEnH23+IXVNmwGzu9dqiQ5dM6qKhfyczzB7yu2j6hwqBaIwc6irg3t2bqHa\nbSqldlXlP0qmsyIjm0d3H+XtGjOp5qKMBO6fNi6cpUoGka27f05Z5asARNqTWbHkRaIc6WGuSgLm\n6tXGTx6moupNwEwaWrHkRblSe47S1nGIf6657iyeoRDtyOwVHR8Xk09sdN6oujiQ9I0IeDH2v4dR\nuR4MHSX7PLTJK1EiBh5Zf9a1CIMuV02oy+i4v9GZJNzZrLG9PI0S4ybS1lHBum339Ll/RuoCls97\nakSu4p4L1DRsYPXGWwGIjc5j5bI/yG5jyYjFaA6KRJ1BkSgnGtt1RSj2vkUiIQTGrmb87xwJJaIB\naLNTsVyYc9LnScYuxrFgspkeTDa7sgBt8si8Dtd1Hxt2PMiRmvdPus9oO4dKgSiMvF9XzWP7duIx\nzC/DjIhIHpk+hwkxcaxraOeeHZUAJNkt/G5hMbE2eTEwFth/6GW27f0lABYtkosX/4bEuKIwVyXp\niWEEWL3xB6EVgcT4Ei5e+OsxGWUpOTlCCCqq3mLjJz855X5J8SVMzL/a9AuKzpPvkzGK6GrC/5fv\nI1qO9H7AkYj1il+gphT267h+v5977rmH6upqfD4fN910ExdeeGG/63R7mk5IUOtyVZ/BMxV6emx9\nmosWPUda0ox+1yXpH7rh55+rr6PTeRSACxb8ioyUuWGuSiI5NUaLxxSJOsxIeiU7Cm1BOuJgB8Kv\no2ZGo01PBp+O/5+He/mfKQl2rJfno+YNv/AuGTnou5vw/7XC/MESTDbLGpmTFoah8+d3VuAPht30\nxWg6h55Mb5FKxBASMAyeO1jKK0crQtvmJqbw4ykzibPZaPMFeHJvVeix/5icK8WhMUJV7Rq27X0a\nML1HFs/+qRSHRiCqamHJnEd5d923aO88REtbKR9v/xFL5vzsrFOrJKOTuqat7C57gYbmHafdd8ak\nW0hLnjkMVUnCif/dR04UhwBcLfj/cS+2r/8RRT3774c33niD+Ph4nnjiCVpbW/nCF74wIIEoMiKZ\nrIhkstIWhbb5/J1Bwag7Ra2j6zBC9Iy2P/W64IbtD5CeMo+oyDSiHBlERaYTFZmOIzJVdrMMIWUV\nfwqJQzkZy6Q4JBkVqIkR2K4vNkWidh/imJPAa4dCjxt7Wgh8UAWKAv5uU35tfjqW5Vn9NreWjB20\nqckYjR70dTUQEPj+dAD7jZNRYkeeP2OXq/qU4hBAdd1Ho0YgOhnyTD8IuAIB/llzlA8banHrOsWx\n8VycnsX/VJSxvbXblf+reYXcWFCMpigIIfjFvipafKYx22ezElmQIhX0sUBT6x4+3nY/xy/CZ0+7\ns9cFvGRkYbNGs3z+U7zz0Tdwe5s4VreW7Xt+yawpt42aFlHJ2VPftJ1dZc/T0Lz9jPbPSJlP6ig/\n4UtOj9FahTiy+eQ7tFdjHNmMlr/grI996aWXsmLFitDPmjb4N0Y2awxpybNIS+5eEQzoHto7Kmhp\nL6OuaQtHa1ad8hhOdx2Hjv79hO0KKpERyTgi04lypIeEI/PPGUQ50geUrnYu4/Y0sbvsRQA01c7M\nyd8Pc0USyZmjJkRgu74E32/2gFc/cYeA4Pg1sZIcYXYN5cQMb5GSEY1leRaiyW36UnX58b16ANv1\nxSNOQDx9iITZDTrakQLRAGn1efnetvUcdnaFtpV1tvP36u7Vx0hN477JM1ia2p0M8kFdG2vqzTbL\n9AgrNxefGJ8sGX10OqtZs+kOdMMLwKTCrzIx74owVyU5HVGRaSyb/wveW/dtArqbsspXiXZkSnPQ\nMUhD8w52lT1PfdO2XtuTE6YxrfibeDwtfLL/2VBMvWk8eBmzp9wuBcNzANFy+PT7NFdCPwSiqKgo\nALq6urjlllu49dZbz/oY/cGiRZCUMImkhEmMz1lJfdM2vL62UzxDBYwTtgoMXJ4GXJ4Gmlp39flM\nmzW2h2jULSA5gn+OsCfKz1Ef7Nj3XwR006NyUuFXiHZkhrkiieTsUBwW0E/83ui1T0EctmsmoFjU\nYapKMlpQFAXr58fje6kUUe9C1Djxv1GJ9YqCEXXOiInKwW6LP+U5NCVx+jBWNDRIgWiAPFO+t5c4\n9GmyIh387Ly55EV1K+VNXj+/2Hcs9PMPp+QSZRlZCqnk7PH62lmz6QchR/vczIs4r+S7Ya5KcqYk\nxhWxePZP+XDznQihs23v0zgi08nNXB7u0iSDQEPzTnaXPU9d05Ze25MTpjKt6Jukp8wNXYSMy7qI\n5rZSArqbhNgJRNgTwlGyJAyciQn1QIyqa2trufnmm7nuuuu4/PLL+32c/qJpNorHX8vO/b/u8/GY\nqGwuW/YHfL52nK5anO56nO5anK46XO46nO46nK46Arq7z+f7/B34/B20dpT3+biq2szRtWDH0ae7\nkCIjU9BU66D9fUcDjS27qTz2FgCOyHQmFX4tzBVJJGePaPEGO4VOjppol+KQ5KQoNg3blybgfWEf\nOP0Ye1vQkyOxLB05TRRncg7NyVg2vEUNAVIgGgAdfh+r62tOuc/KjJxe4pAQgif2VtEZMFswr8xN\nZmaSbLMc7ei6j4+23EVHl9k5lpwwjYUz7kdR5IlwNJGVtog5U+9g866fAYL123+MIzKF5IQp4S5N\n0k8aW3azq+y/qWvsPTaUlDCZaUXfIiNl3gmrU6pqISVx6nCWKRkhKBlTIDYdOur63kGzoRae369j\nNzU18Y1vfIP777+fBQvOvgNpsJg84Wt4vM2UVb5GTz+i2Og8ls37OVYtAmtkBFGRaX0+XwiBz98R\nEotMASkoJLnrcLnq8Pha+3yuYfjodFbR6azq83FQiIxIDgpIQSEpMr37z450rJaoAf4GRg6G0Nm6\n+8nQz7Mm3yJTECWjEiXiDBa6bXIxXHJqlDg7tqsLTU8rXRD4sBolJRJtUmK4SwtxunPoWFjkkALR\nAKj3uAmcJgSu0eft9fNb1S1saOwAINth59sTZRvxaEcIgw2fPBQyuY2Jymbp3CfQNHuYK5P0hwl5\nV9DlqmHfwd+jG17WbLqDFUteICYqO9ylSc6Cppbd7Cp7gdrGjb22J8VPYmrRN8lMXTCi2pYlIwNF\n1bAsv43AP+4G40QvDcuS7/a7g+i5556jo6ODZ599lmeffRaA559/noiI4RUEFEVl9tTbKRp/DVW1\nawjoHpLiS8hInX9G5vyKomC3xWG3xZ00fCGge3C564MCUl2oC+l4R5LL3fAp4+zjCNyeRtyeRpr6\n1piwWWN6dR05PmWmPZrG2CqOvklL+34A0pJnk5NxQZgrkkj6hxJvR8mKQlQ7T7qPNmVkxpdLRhZq\nTgzWy/Px/80MefL/rQIlwY6aMTIWBwZ6Dh0NyJj7AdDs9fC5te+dcp8bxxfx9fETAahz+/j6x/tx\n6QYq8F/zJjA5fmS82SX955PSX7P3wG8BsNviWLH4RWKic8JblGRACGGwbtuPOFrzPgAxUbmsWPIC\ndltcmCuTnI6m1r3sKnue2oYNvbYnxpcwrehGMlMXjZqbR0n4MI59QmDjS4gq06tKSS1Cm/tVtAnL\nwlvYGMEQOh5PE11BAcnVsxspKCwd9+Q5W7rH2Lq9kBy9BKXUEbHC6/N38saqL+L1taEoGp9Z+nvi\nYwvCXZZE0m+Mqs5Q58en0WalYF2ZH4aqJKMV//tV6OtrzR9irGayWczISzYbzciY+yEgyR7B3KQU\nNjc39vm4CqzIMLsODCF4bM9RXEEDt+vyU6U4NAY4eOTvIXFIVW0snfukFIfGAIqisnDG/bjcphlr\np/MoH27+Dy5c8Cs0TZ6cRiLNrfvYVfY8NQ3re21PjCtiatE3yUpbLIUhyRmjZp+H7YtPIwJeEAaK\nNTLcJY0pVEXDEZmGIzINONHQ88QxtrpP+SDVDsIYW99m2tGR6Vit0YP3l/0UXl87uu5h78Hfh4xO\nJ+ZdKcUhyahHzYnBdn0JgdXHMCrNaQlirFjmpaMtSA9vcZJRh+XCbDPZrLwNOv34/nQA2/UlKFZp\n3zHUyA6iAXLU2cV3t35Mm993wmM3FZbw5bxCAP5ypJGn91cDMD46gv9eMBGbKt/go5naho2s3nRb\nqE1+8exHGJd5YZirkgwmHm8b7667MXSjMS7rEhbNfFB6S40gmttK2V32AtX163ptT4grYlrRjWSl\nLZHCkEQyBjHH2BpOMNMOdSS5608yxnZ6bNYYc3TtJGbaEfaEsz4PNLXs5pP9vz4hQdFui+ffLvwz\nNqv0o5SMHYQ7AH4Doq0oqjwHS/qH8Or4XtqHaDCDEdQpiVi/MLKSzUYzsoNoiMiNiuaFuUv4w5FD\nrGmowR3QKYmL55rc8SxOMdXyKqeX58pNM2tNgXun5kpxaJTT2l7OR1vvDl18zpj0PSkOjUEi7PEs\nn/cU76y7Aa+vnSPV7xLtyOS8kpvCXdo5T0t7GbvLnudY3dpe2xNiJzC16Jtkp58vLyAkkjGMRYsg\nNjqX2OjcPh8/PsZmjqzVBr2Qevz5FGNsPn8nPn8nbR0H+3zcHGNL7dMDyexESus1xtbQvJNVG27G\nMPwnHCs2Ok+KQ5IxhxJpAdl4KRkgil3D9qWJeF/YC64Axp4W9BQHliXSw3cokR1EQ4wuBP9v8wH2\ntpkXITcUpnN9gWyzHM243A38a+03cHvM0cIJeVcyZ+qd8mZ0DNPYsov319+MYZidgvOm303huM+H\nuapzk5b2cnaXvcCxug97bY+PKWRq0Y3kZCyVHV4SieS0mGNsnaGRNVevLiTzzx5vSz+PrhBpTwp1\nH9U378DjbT7p3p9Z+n8kxE3o52tJJBLJ2MY4GvS3MkzZwnp1IVrxyEk2G63IDqIw8afDDSFxqDjW\nwZfz+46NlYwO/P4u1my6LSQOZaYtYvaU26Q4NMZJSZzGwpkPsG7rPQBs3vU4jsh0MlPnh7myc4fW\n9gPsLnuBqro1vbbHxRQwregGcjKWS2FIIpGcMWYaWyx2WyyJcRP73EfXvUGxqNtE2/WpjqSTprF5\nm3B7m2hq3XPaWo7UvCcFIolEIjkJam4Mls/mEXijEgD/XytQ/t2Omi79fIcCKRANIRWdbl48UAeA\nTVW4Z2ouFjmHO2oxjABrt95La8cBwPQ4WTzrYVRVfozOBcZlXohz0vfYse9XCKGzdsvdXLL4NySc\n5MZCMji0dhw0haHa1b22x8XkM3XijeRmXiCFIcmgYwQ8NB95l/bqjxFCJyZ1BskFl2Ox9S/iXjI6\n0TT7GYyxNQfFop6G2t2+SIHA6dPY/P6TR4NLJBKJBCznpSAa3egb6sBv4HvlAPYbJ6FEy/CYwUbe\n2Q4RAUPw091H8Qcn+L45IYO86IgwVyXpL0IItux+nNrGjQA4ItNYNu/nWC2OMFcmGU5KCr5Ml6uG\nA4f/QkB3sXrTbVy65MVgEo9kMGnrqGB3+QscrVnVa3tsdB5Ti0xhSFW0MFUnGcv43E2Ur7oZT8eR\n0Lb26nXUlf6BicufxpHQ/04PXde57777qKysRNM0Hn30UXJz+xYfJCMfM40tFUdkKilMO+FxIQRu\nTyNvrPoiuuE96XFk95BEIpGcHsuFOYgmD8aBNujwdSebWeRC4WAif5tDxP9W1HGg03Rcn5YQxRfH\npYS5IslA2Hfwfzl45O8AWC1RLJ/3FI4I+W96rqEoCrOn3EZm2iIA3J5GVm+6Db+/K8yVjR3aOytY\nt/Ve/rnmul7iUGz0OBbN/Akrl/+RvKyLpTgkGTIOb3y4lzh0nICnhUNr70YY/UvGAli92uyEe+WV\nV7jlllt49NFH+30sychHURQckakUjvvcSfex2+IZl3XJMFYlkUgkoxNFVbBeUYCSYjqgi2on/n9U\nMkItlUctUiAaRJwBnRavn31tTn5fUQ9ApKZy95RcNOlRM2o5XP0un5Q+C4CiaCyZ8xjxsQVhrkoS\nLlTVwuJZD5MQVwRAW8dB1m69F8MIhLmy0U17ZyXrtv2IN1dfx5Ga9wHzZB8TlcvCmQ+ycvnL5GWv\nkMKQZEjxdBylo3bjSR/3dh2jvXZTv49/0UUX8dBDDwFQU1NDcnJyv48lGT2cN+lmMlIXnLDdZo1l\n6dwnZTeyRCKRnCGKXcP6pYkQaQ5CGbub0dfXhrmqsYUcMRsE9re7eP5ALVuaOwEzyl4PCpnfLcok\ny2GYc9yrAAAgAElEQVQPY3WSgdDQvIMNO34S+nne9HvISJkbxookIwGrxcGyeT/nnbU34HLXU9u4\nkc27Hmfe9LulYflZ0tF1hN1lL3K4+l2Oi0IAMVHZTJl4A3lZl0ifL8mw4e44fNp9PO0VkLWw369h\nsVi46667eO+993jmmWf6fRzJ6MGiRbB83i+oa9zM0doPCAQ8JMWXkJ+zErv0tZJIJJKzQk2wY7u6\nEN/vy8AQBFYdQ0mORCtKCHdpYwJ51T1A9rQ5uXXLQXxG943NcXEoxW7l37KTwlSZZKB0dB3hw83/\n8f/bu+/AqKrE7ePPlPQQQugIAUINCNKbVBvqrosiCoQNuuDPV5cFsaDCAsqyYNm1sK6uyKrsooC6\notgbYgEkYCgChhZ6CwkJJJMy9b5/RKMooWQmucnM9/OXc+/k5GEM5M4z554jn88tSerUdrxaJf7W\n5FSoLqIj62tI76f0yar/k9tTqMwDyxUb00QXt7nV7Gg1Qr7jgLbsfFH7D30iQ76y47HRTdWp7bjS\n2UIUQ6hi57MItS3C/zf0jz32mO677z7dfPPNev/99xUdzQySYGexWNW4QR81ZvdLAPCbtXmc7L9p\nIc+7P+xstixTlnEdZG3I71N/cYuZn57dcfi0cujnsp1u7XGUVHEiBEKJM1cr194tlztfktSy6TXq\n1O7/TE6F6iY+rpUG9nxMlh9ue9qc8S/tO/SxyamqtwLHQa3ZMEvvfT5S+w59VFYOxUY3UZ8u03Xd\nZa8pKfE3lEMwRWy9TgqPaVTueYstXHWaDqrw+G+//bbmz58vSYqKipLFYpHNxm2TAABcKHvX+rL1\n/mGjGLdPrqU7ZRS6zQ0VBCiI/JBV7NK2k2ffvvTzYyerKA0CxeMt0Rfr7pOj6LAkqWG97urd5c/c\nOoQzalS/p3pfMq3s8TebZivrxEYTE1VPBYWH9M3Gv+jdlSO199AHZcVQTHRj9enyZ1132RtqlXgd\nxRBMZbHalNhjilTOWldNu/xJ9ojaFR7/qquu0vfff68xY8Zo/PjxmjZtmiIiuA0dAICKsF+ZKGur\nH34vn3LJ9fouGR7f2b8IZ8WVuB8K3OfeyeR8noPqw2d4tWbDQzqRt01S6ZbaA3o8Kps1zORkqM5a\nJf5WhUVHtGXni/L53Ppq3f0aOuDfiottbnY00xUUHtbWnS9p76EPZRg//XsYE9VYF7f9g5KaMVsI\n1Uv8RZeq3eX/1JEtL6og61tJUnRCezXuMFZ1Ei/za+zo6GjNmzcvEDEBAAh5FqtFYTe2kuul72Xk\nlMg46JDn/X2y/64lH+5XEFflfmgSHa5Iq1UlvvJbyla1IqswEfy1cds/dfDoF5KkyIgEDenzFAtI\n4rx0avd/chQd0d5DH8rlztfKtXdr6IB/KzIiwexopnAUHdHWnS9rz8H3TyuGoqMa6eI2tyop8bcU\nr6i2ajXoqnaX/1M+r1OG4ZPNHmV2JAAAcAaWSLvCRrWV68VtUrFX3s05stSPkr1fY7Oj1UgURH6I\nttt0bdMELTuQc8bzcWE2XdmY1dRrih1739D2PYslSTZbpAb3flKx0U1MToWawmKxqHeXP6uo5Liy\nctLlKDqsL9bdpyv6Pie7PXSKYkfRUW3b9bIyD7x3ejEU2UAd2/5BrRKvoxhCjWG1cfsXAADVnTUh\nUmE3tZH7lR92NvvsoCz1ImVry3vxC8UaRH66o20T9agb+6vjsXab5nZtqWg7i0/WBIeOfa30LU9K\nkiyyqn/32aobn2xyKtQ0NmuYBvR4VHGxLSRJJ/K2ac2Gh+Qzgv9W08KiY0rb/KjeXTFCu/cvLyuH\noiLrq2enKfrd5W+qbYvhlEMAAAAIOFuLONmv+Wl5B/eyTPmOn329YPyaxTCMM2/BZbL09HR1797d\n7BjnxWsYWpeTry+OnVKJ16f2taN1zUUJig9nglZNcOJkhj5dfYe83tId53p0uk/tWt5kcirUZI6i\nI/r46/EqceZKktonjVb3iyebnKpyFBZnaduu/yhz/3L5DE/Z8ajI+urY5ha1TvydbMzCAAAAQBVw\nf7Rf3nVZkiRLfLjCx3eUJYYPKH+pvL6FBiMAbBaL+tavrb71K76zCczhKDqiL9LuKSuH2ieNphyC\n32Kjm2hw7yfLisfte5YoNrqJ2iXdbHa0gCkqztLWXf9R5oF35PP9tKVoVES90mKo+TCKIQAAAFQp\n+1WJMnKK5duTL+OkS643dis8tZ0sNm6eOh8URAhZLneBVq69u2yWR7PGg9Wt4ySTUyFY1I1PVv/u\nf9VX6+6XIZ/Stz6lmOhGatpooNnR/FJUkq1tu/6j3fvfPq0Yioyoq45txqp18+tlt4XOmksITh5v\nifYd+kRHslbLZ3jVsG5XJSVex6YFAABUcxarRWEjWsv14vcyTpTIOFAgzwf7Zf9tC3Y2Ow/UaAhJ\nXp9bX61/QPmOfZKkunU6ql/XWbJY+CuBwGnaaIC6d7pHkmTIp1Xp03Ui73uTU1VMcUmOvt3yhJZ/\nNlw7975RVg5FRiSoW8fJGnbFMrVPGkU5hBqvuCRHH355i9I2z9HBY1/ocNbX2vD9P/TeypHKO7XL\n7/FPnDihQYMGKTMzMwBpAQDAL/24s5kiS9cD9m7Mljcty+RUNQPvhhFyDMNQ2qY5yspJlyTFRl+k\nwb3+HlI7TaHqtGt5k9onjZYkeb1OfbHuXjmKjpic6vwVl5xQ+tantPyz4dqx93X5fC5JUkR4HXXr\nMEnDLn9Lya1GUwwhaHyzcXbZhwc/V+LM1VfrH/Rr0Xm3262ZM2cqMpK/LwAAVCZr3dKdzfTDpCHP\npwfk3XXS3FA1AAURQs6WHf/W3kMfSpLCw+I0pM9TioxIMDkVglm3jpPUrPFgSaVvMleuvVtOV765\noc6htBiap+UrbtD2PUvl9TklSRHh8era4U+6/oq3lNx6DMUqgkq+44COZq8t97yj6JCOHi///Lk8\n9thjGjVqlBo0aFDhMQAAwPmxtfzZzmbGDzubZRebG6qaoyBCSMk88J627Py3JMlqDdOgXo8rLrb5\nOb4K8I/FYlW/rrNUt05HSVK+Y5++Xv+AvD9bw6e6KHHmasO2H4uhxfJ6fyyGaqtL8p807Iq31KF1\nquz2KJOTAoF3qmDveTxnT4XGXrZsmRISEjRgwIAKfT0AALhw9h4NZevxwwczTq/cS3fKKKp+1+DV\nBQURQsax7PVK2zy37HHfLjPUoG5XExMhlNjtkRrc6++Kjb5IkpR1YoPSNs2RYRgmJytV4szThm3P\n6O3PblBG5k/FUHhYnLok/1HDrnhbHdukKswebXJSoPJEhJ97N9LwsIrtWPrmm29qzZo1Sk1NVUZG\nhh544AFlZ2dXaCwAAHD+7EMTZW1ZutGEkeeU+43dMrw+k1NVT+xihpBwMj9TX61/QMYPa0dcknyn\nWjQdanIqhJrIiAQN6fOUPv76Nrnc+dp76EPFRjdR5/a3m5apxHlSGZmvaufeN+Tx/jTlNjwsTsmt\nxqhd0k0Ks8eYlg+oSvUSOikmqrEKi4+e8bzNGq5mjQdVaOxXX3217L9TU1P18MMPq379+hUaCwAA\nnD+LzfrDzmbbZOQ65dtfIM+H+2X/DTub/RIziBD0ikqytTLtbrk9hZKkVonD1LH1LSanQqiKi22u\nQb0el9UaJknasvNFZR54t8pzOF2ntCnjOS3/7AZ9v/u/ZeVQeFgtdW7//3T9FW/p4ra3Ug4hpFgt\nNvXsfJ8sFtsZz3ftMPG8ZhkBAIDqxRL1w85mET/sbLYhW9517Gz2Sxajutzf8Avp6enq3r272TFQ\nw7k9Rfps9R3KPbVDktS4fh8N7v2ErFYmz8Fc+w59rNUbZkqSLBabhvR5Wo3r96r07+t0nVJG5hLt\n2PuaPJ6isuNh9lgltxqtdkmjFB4WW+k5gOos68RGbd3xoo7lrJckJdRur45tblFik8tMTgYAAPzh\nzTwl9+IdkiHJIoWltJOtVeh9+FNe30JBhKDl83n05fr7dSRrtSQpPq61rrp0vsJ484tqYuuuhdqc\n8S9JUpg9Rlf1X6D4uFaV8r2crnxt37NY2/f8shiKUftWKWqfNFLhYbUq5XsDNZXX65Rh+FiUHQCA\nIOJZd0yejw6UPoiwKXx8B1nrhdbv+vL6FqZRICgZhqFvtz5ZVg5FRdbXkN5PUg6hWunY+hYVFh3R\n7v3L5fYUamXa3Ro64EVFRwZuXRKXu0DbM5do+56lZbdZSpLdHq32SaPUPmm0IsLjAvb9gGBis0WY\nHQEAAASYrWdDGdnF8qZnl+1sFj6+oyxR1CO8AghKGZmvate+NyWVvhEe0vtJRUc1NDkVcDqLxaKe\nne5XYVGWjmavVVFxlr5Iu1dXXvq837uFudwObd+zVNszl8jtcZQdLy2GRv5QDIXedFoAAACENovF\nIvvVzWWcKJFvX4GM3NKdzcLGtJXFFtrLNIf2nx5Baf+RFdr4/TOSStd2GdDjEdWp3dbkVMCZWa12\nDeg5V3Xi2kiS8k7t0Kpv/yyfz1Oh8dxuh7bseFHLP7teW3YsKCuH7LZodWxzq66/4m1d0v4OyiEA\nAACErB93NrPUKZ0t7NuXL8/HB0xOZT4KIgSV7NzvtGbDw2WPe3W+X00a9DEvEHAewuwxGtz7CUX9\ncGvZkeNr9O2WJ3QhS8S53Q5t3fmy3v7sBn234wW53AWSJLstSh1aj9WwK95Sl+Q7KYYAAAAASZbo\nsNN3Nvv2uDzrQ3tnM24xQ9AocBzUl+vuk8/nkiR1bHOLWje/3uRUwPmJjmqoIb2f1Cer/588niLt\n2r9MsTFN1KF16lm/zu0p1I69byhj96tyufPLjttskWrX8iYltxqjyIg6lR0fCCoub4lWHf9EG0+s\nls/wKjm+qwY3uk6xYazXBQBAMLHWj1LYja3kXrJTMiTPR/tlqRspW1JofqjKLmaokQzDpyPHv9HB\noyvl8RQrLraF9h76QI6iI5Kk5hddpUu7zZLFwiQ51CxHjq/VF2n3yDC8kqQOrcfK6cqTx1OshPhk\ntUq8ThHhteX2FGnn3jeUkfmqnK5TZV9vs0WobYsR6tD694qMSDDrjwHUWHnOHM3ePEFHivaddrx2\nWIKmXfIPNY9t49f4119/vWrVKt0xsGnTpnrkkUf8Gg8AAPjPs/aYPJ/8cItZ5A87m9UN3p3N2OYe\nQcPjKdGX66foWPa6M56vn9BFl/d9RjZbeBUnAwJj9/7lSts894zn7PZYtbzoKh04+rmcrpNlx0uL\noRuV3Or3ioqsW1VRgaDzyOa7tDlv7RnPNYxsqqd6vy6rxVahsZ1Op0aOHKm3337bn4gAACDADMOQ\n57198m7MliRZ6kYqfFyHoN3ZrLy+hekVqHE2ZTxbbjkkWdWv28OUQ6jRWjcfpoTayWc85/E4tGv/\nsrJyyGaNUPuk0Rp2+Vvq1vEuyiHAD0eLDpRbDklSVskhbc4t//y5bN++XcXFxRo3bpzGjh2rTZs2\nVXgsAAAQOBaLRfZrm8uSWDrL1zhRIvf/dsvwVcv5NJWGggg1ittTpMwD757lGT4dPV7xi3egOnB7\ninSqYO9Zn2Ox2NQuaaSGXbFM3S+eTDEEBMDhorP/vZOkQ4V7Kjx+ZGSkxo8frxdffFGzZs3Sfffd\nJ4+nYjsWAgCAwLLYrAq/ubUs8T/sbLY3/6fbzkIEBRFqFEfhIXm8xWd9zsn83VWUBqgcjsJD8vpK\nzvqclhddrR4X36OoyHpVlAoIfrH2cy9IGRNW8UUrW7Zsqd/97neyWCxq2bKl4uPjlZ2dXeHxAABA\nYJXubNZGCi+tSrzrsuRJP25yqqpDQYQaJSys1nk8J7YKkgCV53x+zqOi6ldBEiC0tK3dSfUiGpd7\nPswarl71BlV4/P/973969NFHJUlZWVlyOByqX5+/ywAAVCfWBtEKG9667LHnw/3y7s0/y1cEDwoi\n1Ch2W5TstrOvJt/8oiurKA1QOWKjG6tenYvP+hx+zoHAs1psGtf2PtnKWYR6TNJExfoxg2jEiBEq\nKCjQ6NGjdffdd2vu3Lmy24Nz8UsAAGoyW9t42a9sVvrAZ8j9xi75cs8+wz8YcFWCGsNReESfr73r\nrLeYtWlxo+rEtS73PFBTdOs4WSvW/FFen+tX5/g5BypPt7r9Nf2SZ/Xmvhe19eR6SVJSbHsNa36L\nete/zK+xw8PD9cQTTwQiJgAAqGS2Po1kZBfLuylHKvHKvXRn6c5mkcFbo7DNPWqEEycz9EXaPSpx\n5kqSoqMaKiaqkbJzN5c9bp80Su2TRsliYWIcgkNO3jZ9t32+jmanSeLnHKhqLq9TPvkUeY6ZqwAA\nIDgZHp9ci7bLOOiQJFlb1VbY6LayWC0mJ/NPeX1L8FZfCBpHjn+jr9dPLZs5VK9OJw3q9XdFRsTL\n5XbI6y1RZEQCb5gRdOrV6ajL+v6Dn3PAJOG2CLMjAAAAE1nsVoXf3EbOf2+TTrnkyzwl16LtpSfd\nPlmbxMjWs6Gs9YPjwyQKIlRrmQfeU9rmuTIMrySpaaNBurTbX2S3R0qSwsNiJRalRpDj5xwAAAAw\nhyUmTOGj2sr10veS2ydjf0HZOe+RQnk3ZCtseCvZOiSYmDIw+Cga1ZJhGNqy8yWt3TS7rBxq0+JG\nDej5SFk5BAAAAABAZbM2jJalScyZT/oMud/eI6PQXbWhKgEziFDt+Hwerd/yN+3e/3bZsS7Jf1SH\n1mNlsdTsez0BAAAAADWLUewpW4fojDw+eb/Lkb1v46oLVQkoiFCteDzFWpU+XYezVkmSLBab+nSZ\nrqRm15qcDAAQKpxejz7J2q41J/bKaxjqEn+Rftu4o+LCmMEKAEAoMk65JN/Z9/cy8pxVlKbyUBCh\n2ihx5umLtHt14uQ2SZLdHq2BPR5V4wa9TU4GAAgVOc5CTdz0P+0vyis7turEHi0+kK6nu9yg1rH1\nKzz2/Pnz9fnnn8vtdmv06NG66aabAhEZAABUMkvsuasTS2xYFSSpXAFfg8jtdmvKlClKSUnRiBEj\ntGLFitPOf/fdd0pJSdHo0aM1adIkOZ01v2WD/woKD+mTVbeVlUNREfV05aXzKYcAAFVqzvZPTiuH\nfpTrLtLUre/Ja/gqNG5aWpo2btyoJUuWaNGiRTp27Ji/UQEAQBWxxIbL2qr2WZ9j7VSvitJUnoDP\nIHrnnXcUHx+vv/3tb8rLy9MNN9ygyy+/XFLpwsMzZszQP/7xDzVv3lxvvPGGDh8+rKSkpEDHQA1y\nIu97rUy7R05X6QV5XGwLDenztGKja/b9mwCAmuVgUZ7ScveXe/5w8Sml5e5Xv7otL3jsVatWqW3b\ntpowYYIcDofuv/9+f6ICAIAqZh+aKNfCDKnI8+tzlzWVtU6ECakCK+AF0dVXX62hQ4eWPbbZbGX/\nvXfvXsXHx+s///mPdu7cqUGDBlEOhbjDWav09bd/ltdbIkmqn3CJBvX6myLCz97OAgAQaHsLc8/j\nOScqVBDl5eXpyJEjev7553Xo0CHdeeed+uijj9h8AQCAGsJaL0rht3WUd/VReTNyJZdPliYxsvdt\nJFu7OmbHC4iAF0QxMaVbvzkcDk2aNEmTJ08uO5eXl6eNGzdqxowZat68ue644w5dfPHF6tu37xnH\nysjICHQ8VCM5p77UgeP/kVQ6XT8+tocuqnO79mQekXTE1GwAgNBz0vXrW8t+qTA7TxmFF3594vV6\n1aZNG2VmZpYdW7t2reLj4y94LAAAYKIkSUlRPz32HZMyguPW8UpZpPro0aOaMGGCUlJSdN1115Ud\nj4+PV/PmzdW6dWtJ0oABA7R169ZyC6Lk5OTKiAeTGYahLTv+rQPHXy471q7lzep28WRZLbazfCUA\nAJWnreHTwrUZOlZScMbz4VabRnUeUKHdzK666ir997//Vfv27XX8+HH5fD716tXrtJnWAAAAVSE9\nPf2MxwO+SHVOTo7GjRunKVOmaMSIEaeda9asmQoLC7V/f+n9/d9++63atGkT6Aioxnw+j9I2z9GW\nnf8uO9a1w0R1v/geyiEAgKlsFqvubXOZbJYzXx5NaFWxckiShgwZouTkZI0YMUJ33nmnZs6cSTkE\nAACqFYthGEYgB/zrX/+qDz/88LS1hW666SYVFxdr5MiR+uabb/TEE0/IMAx17dpV06dPP+M46enp\n6t69eyCjwWRuT5FWfTtNR45/I0myWuzq23WmWjQdeo6vBACg6mw8eUgv70vTt3kHJUntazVQamJP\nDWnAh1oAAKDmK69vCXhBFCgURMGluOSEvki7R7mntkuSwuwxGtjrcTWq18PkZAAAnJnT65FPhqJs\nYWZHAQAACJjy+pZKWYMI+Ll8xwGtXDtZjqLDkqSoyPoa0udp1YlrbXIyAADKF2HjMgkAAIQOrnxQ\nqXJyt+iLdffK6TolSapdK0lD+jytmKiGJicDAAAAAAA/oiBCpTl07CutSp8ur9cpSWpQt5sG9Xpc\n4WG1TE4GAAAAAAB+joIIlWLnvmX69ru/yZBPkpTY5Ar16/qQbLZwk5MBAAAAAIBfoiBCQBmGoc3b\n52vbrpfLjrVPSlG3jhNlKWfbYAAAqhOn16tPjx3WmpwseQ1DXerU1W+aNFNcGB9yAACA4EVBhIDx\n+TxK2zxXew6+/8MRi7p1vEvJrUabmgsAgPOV4yzRXenfaH+Ro+zY6pwsLdmfqSe79lHrWnEVHnvZ\nsmV66623JElOp1MZGRlavXq14uIqPiYAAECgUBAhINyeQn29fqqOZqdJkqzWMPXrNkvNm1xucjIA\nAM7f3O83nVYO/SjX5dSfv1uvxf0uk81iqdDYw4cP1/DhwyVJs2bN0o033kg5BAAAqg3u+YHfikty\n9OnqO8vKofCwWrqszz8ohwAANcrBIofWncgu9/zh4iKtO3Hc7++zZcsW7d69WyNHjvR7LAAAgECh\nIIJfThXs08df36a8UzskSdFRDXXlpS+oYb1uJicDAODC7HP8eubQL+11FPj9febPn68JEyb4PQ4A\nAEAgcYsZKuz4ic36ct19crnzJUnxtVprSJ+nFB3VwORkAABcuLjwsHM/x8+FqvPz87Vnzx716dPH\nr3EAAAACjRlEqJCDR7/Q599MLCuHGtbroSv7z6ccAgDUWBfXTlCjyKhyz4dbrRrYoJFf32P9+vXq\n16+fX2MAAABUBgoiXLAde9/QV+sflNfnlCS1uGiohvR5WuFhsSYnAwCg4mwWi+5p36ncRaj/2LqD\n3zOI9u7dq6ZNm/o1BgAAQGXgFjOcN8PwaVPGv/T97v+WHevQOlVdkv8oi4WuEQBQ8/Wr11DzuvXV\ny3t3Kj03R5LUrlZtpbZorcENm/g9/m233eb3GAAAAJWBggjnxetza+3Gv2rf4Y9+OGJRj4vvUbuk\nm03NBQBAoHWpU1fz6vSV0+uVT4aibFwuAQCA4McVD87J7Xboq/UP6ljOekmS1RquS7vNUmKTy0xO\nBgBA5Ymw2cyOAAAAUGUoiHBWRSXZWrl2sk7m75YkhYfFaVCvv6tB3UtMTgYAAAAAAAKFggjlOlWw\nR5+vnayi4ixJUkxUYw3p85Rq12ppcjIAAAAAABBIFEQ4o+MnNurLdVPkchdIkurEtdWQPk8pKrKe\nyckAAAAAAECgURDhVw4cWaHVGx6Wz+eSJDWq30sDezyiMLaxBwCEAKfXp0+P5umb7Hx5DUNdEmL1\nm4sSVCuMyyYAABC8uNLBabbvWar0rU9LMiRJLZteq95dpslmDTM3GAAAVSDH6dbk9bt1oNBZdmxN\ndr6W7D2uJ3u0UqtaURUa1+1268EHH9Thw4dltVo1e/ZstWrVKlCxAQAA/GY1OwCqB8PwacO2eUrf\n+pR+LIc6trlVfbvOpBwCAISMR7ccOK0c+lGey6PpG/fKaxgVGvfLL7+Ux+PR0qVLNWHCBD399NP+\nRgUAAAgoCiLI63Vp9YaZyshcLEmyyKqene5Xl+Q7ZbFYTE4HAEDVOFjo1LoTBeWeP1zs0rqc8s+f\nTcuWLeX1euXz+eRwOGS3M4kbAABUL1ydhDiXu0BfrbtfWSc2SJJs1ghd2n22mjUeZHIyAACq1r7C\nknM/x1GivvXjLnjs6OhoHT58WNdcc43y8vL0/PPPVyQiAABApWEGUQgrKs7SJ6v+X1k5FBFeW5f3\ne5ZyCAAQkmqH2c75nFrn8ZwzWbhwofr376+PP/5Yy5cv14MPPiin89e3sgEAAJiFGUQh6mR+plau\nnayikuOSpNjoJhrSZ57iYhNNTgYAgDk6xseoUWSYjpW4z3g+3GrRwAa1KzR2XFycwsJK1/SrXbu2\nPB6PvF5vhbMCAAAEGjOIQlBWTro+WXV7WTmUULu9rur/b8ohAEBIs1ksurtDU9nKWX7vzrZNFBde\nsc/Wbr31Vm3btk0pKSm65ZZbdPfddys6OtqPtAAAAIHFDKIQs+/wJ/pm41/k85V+Otq4QV8N6DFX\nYXYuUgEA6Fu/tp7q0Vr/yTym9FyHJKldXJTGtGyowY3iKzxuTEyM5s2bF6iYAAAAAUdBFEIyMhdr\nw7afLk6Tmv1WvS+ZKquVHwMAAH7UJSFWXRJay+n1yWcYirJXbN0hAACAmoRmIAQYhk8bts3T9j1L\ny451ajtendr9H9vYAwBQjggbd+IDAIDQQUEU5Lxep9ZseFgHjn4uSbLIql6XPKDWza83ORkAAAAA\nAKguKIiCmNOVry/XTVF27iZJks0Wqf7d56hpo/4mJwMAAAAAANUJBVGQKiw6ps/X3qV8xz5JUkR4\nvAb3flL16nQ0NxgAAAAAAKh2KIiCUN6pnVqZdo+KS7IlSbHRTXVZn6dVK7aZyckAAKj+XF5Dqw95\ntSnLK68hJde1alCiXbHhrNsHAACCFwVRkDmWvV5frr9fHk+RJKlufAcN7v2EIiMSTE4GAED1l1di\naM5qp444jLJjG4759N5uj6b2jVBi7YotXO1yuTR16lQdPHhQsbGxmjlzplq0aBGg1AAAAP5je82l\n7jAAABY1SURBVI4gsvfQR1q5dnJZOdSk4aW6ot9zlEMAAJyn+Rtdp5VDPzrllJ5a75LP+PW58/H6\n668rOjpar7/+uqZPn67Zs2f7GxUAACCgmEEUBAzD0Pe7F2lTxrNlx1o3H6aene6X1cr/YgAAzsdR\nh0/fHfeVez6r0NDm4z51bWi74LF3796tgQMHSpKSkpKUmZlZ4ZwAAACVgRlENZzP8OrbrU+cVg51\nbne7enWeSjkEAMAFOFxw7tlBh/LLL5DOJjk5WStXrpRhGNq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      "text/plain": [
       "<matplotlib.figure.Figure at 0x15f172e9240>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20,10))\n",
    "sns.pointplot(x='questions',y='mean',data=totalplotdata,hue='class')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]\n",
      "[2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2]\n",
      "[3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3]\n"
     ]
    }
   ],
   "source": [
    "questionmeans=[]\n",
    "inslist=[]\n",
    "questions=[]\n",
    "totalplotdata=pd.DataFrame(list(zip(inslist,questions,questionmeans)),columns=['ins','questions','mean'])\n",
    "for ins_num in range(1,4):\n",
    "    ins_data=data[(data['instr']==ins_num)]\n",
    "    questionmeans=[]\n",
    "    inslist=[]\n",
    "    questions=[]\n",
    "    for num in range(13,29):\n",
    "        questions.append(num)\n",
    "    for col in range(17,33):\n",
    "        questionmeans.append(ins_data.iloc[:,col].mean())\n",
    "    inslist+=16*[ins_num]\n",
    "    print(inslist)\n",
    "    plotdata=pd.DataFrame(list(zip(inslist,questions,questionmeans)),columns=['ins','questions','mean'])\n",
    "    totalplotdata=totalplotdata.append(plotdata)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x15f18254080>"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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+FF2fpsHh92HjH6A8x7Y+chjc8gLEjXfd2ET31FrWUHveZCvOUB2QT3wKad+r\nOp6NBcapzKIBt0pHNNF5WcwqoLrrddu6Kb9Wwfwu+DlEAkRdkcWi5vM2nPrVMAhUnt3213TzVIGc\n5oJAQfEtp8VZzPDJz+27bwC4e6sL8oEz2j6W7qK6HA69p7pmmWvVdLLRi8AQatun8Dwc/kAFixoH\nk0DdRRk+R0WgA2M6bOhdlqbB96+oD9J1xixWtRucdKe12FjDA0v3sD+9GIAAb3feWjSWMQldewqA\n2aKx9XQeK3am8fWpXBr/RRgd34sFE+K4eUhUh3ZlE0KIHqmqFLY8py5A6m5+gMo8nvY0+He9GxKi\nk3FG1pCjjIVwaoOahnbuazBVNd3HNwT63ayyi5KuBQ/pvio6gdpKNc395GdqWecGt74IY+537biu\ngASIOquqEvv6Pw0DQcXpl9f+1y/CFvixCwIlqMK9l9shQ9NUJsyR1eoEHz4QRt4LAVGX93o9kabB\nhT0qoHT0I6gqbrSDTnXcGn6PCrp5+btkmJ2axWKN3r9mW3fdkzDlMadF77NLqlj41i5O56gpLREB\nXix7YDz9I7vX/8+FIiOrdmewak8G+eXVdtt6+Xowa0ws88bFkRBqcNEIhRCih8g7BRt+C+e/ta3z\n9Iep/w/GPwRuHi4bmujCzm5SHcqcnTXkiJoKNZ4Tn8HpL6G6pOk+HgZIngYDZkC/G8A7sGPHKASo\nsi3vzVXXcKA6+M16R/1OdmESIGoLi1lF1fcttRZki1QFhsc/1PapK3bFoNOaBoEupxi0h6990Kdh\nECgoDjx92/6aouOZqlXW0aFV6g+jpdZ+u7uPunsybC4kTZV0W1D/ZmsfgmNr1bLODWa8DKPuddoh\nz+WVs/DN3WQWq2lYiaEGlj0wjtjg7vs+qzFZ2Hg8hxU709hxvqDJ9inJocwfH8+0geG4u0lLZiGE\ncApNgxOfwJe/V58l64T2h1v+rj4bCOGIqhL1e3RguW1dR2UNOcJUozqinfhMdURrbpaE3kN1RBs4\nHfrfKtl0omMUnIOVd6vZIKBKhMx7H2JGuXZc7UACRI6yWOCjB+HomqbbYsfDvevsAzCaBsYC+wyg\nhkGgkssoBq3TQ0CMbepXrwQISrAFgQyhXXKeo2iFsRCOfaRq6lzY3XS7XwQMnaXu8kQO7Zn//1Ul\nsGo+pH6nlj18YdZS6Hej0w55+EIxi97eQ2GFyuQbEhPA0vvHEern5bRjdjZnc8t5d1c6a/ZlUFpl\nstsWEeDF3LFx3DMujshASQEXQginqDHCtpdg+8u2jjkAg2bCDX/pMi2VhYt0pqwhR1gskLnPVuS6\n8FwzO1k7otUVuZaOaMIZLux0MyJ/AAAgAElEQVSFd2era31QTTHmr1bX492ABIgcdWwdrL6v5e3J\nN6qTUMNsoMspBu0dZAv+NM4ECoztclXQRTsqOKcKVR5apYKMjYUPUhltQ2dBQHTHj88VSi/Cirsh\n95ha9g2Beauht/POEdvO5PPQ8r1U1KhiipP6hPCfe0fj790z0/ora8x8dvgiK3alcyjDfmqkm17H\ntIHhzB8fz+S+oej1PTCAKYQQzlaYoqZYn/rcts7dRxVJnfRzqdUi7HX2rCFHaBrknbRmFn2qOv41\nJ3yQChQNnK4Ku/fEG6mifZ34TNUcMlkbucRNgrkrO2dQ9TJJgMhRK2fDmS+v/HX0HtZi0M0FgeJV\nt7AuxmLR2Hgih08OXqS4sobkcH/mj48jOaJ71WHpNOpqPh1apbKLqhrPzdZB0jWqXtGA6eDl55Jh\nOl3eKVhxly29PigOFqyF0L5OO+T6w1n86v2D1JhV9t/NQyJ5ac4IKdJsdTSzhJW70lh34CKVtfbd\nSOJDfJk3Lo5ZY2IJNkigWwgh2t3pr+CLx21THkB9xrzpOeh/k8uGJTqR5rKGhs6Gm5/r2he4xelq\nCtrJ9ZC2vflZGoFx1swia0c0JzUvEd3YrjdUDbi6NvaD74DbX+92QXgJEDnq9cmQfcSxfQ3h9tPA\nGgaBAqK71QmpxmThJyv3selErt16vQ7+dtcwZo+R9Ganqq1SgctD76uvFvupPnj4qqLWw+aomgTd\n5XcvfZdK7awr5h05DOavceq88xU703jq46P13bzmjY/jmZlDcJOsmCZKq2pZuz+TFTvTOJNbbrfN\n013PrUOjmD8+jtHxvdDJ3TwhhGg/pmrY8SpsfQFqjbb1yTeoqUMy5aZnqiqBr56E/cts6wzhMOOf\nKmDSnVQUwOkNKtPj3Nf20y/r+IZA/5tVkeukqd3uAl+0M4sFNv0Bvv+Xbd2kR1QHyctt8tSJSYDI\nUavm29rXNScgBhZ8aC0G3XM6+fxr8xle3Hi62W16HWx89Br6hHXTDJbOpqLAWq9oFWTubbrdPwqG\n3q2KW0cO6fjxtZeT62HNA7YWqElTYfZy8A5wyuE0TeNfX5/lHw1+z39+XV8evb6fBDcuQdM09qQW\nsWJnGhuOZlFrtv+zMiDSn/kT4rljZAx+XlJsXQgh2k3JBfjqKfW5oI6bp5pyNuXXPeqzao/XXbOG\nHFFdrn7+k3Ud0Uqb7uPpB32nqRuqyddLRzRhr7YK1j1sa4SDDm55HsY96NJhOZMEiBx1ZqOqVN6S\nm/4GE37ccePpBDRNY8KSzeSUNhOZt5o+NIrHbx5AZKA3HtLVqOPkn4XDq1TNouL0ptsjhqisoqGz\nICCq48d3ufa+Bet/bUsdHjoLZv6f02pzWSwaT396jHd22Go+/XHGIO6/KtEpx+vO8surWb33Au/u\nTiOjsNJum8HTjZkjY1gwPp5B0faBPrNFY29qIcWVtSSH+5EkAWchhHBcylb4/LeQd8K2LiAGbnhW\nTY+QGx3dV1UpfPX7npE15AhTDaRutU1FK89puo/eQ5VpGHCrdEQTqlnQqnmQvkMtu/vA3W92+/eP\nBIgcpWmw4XHY/Z+m2/rdBHNWgFvPKFJrrDGxJ7WILadyeWt7qkPP0ekg3N+LqEAfYoJ8iAr0JirI\nh+hAb6KDfIgK8ibU4CVFbNubxQIZO631itZBdaN6RTq9ysAZNlfNy+6sdxQ1Db5dAlues62b9HOY\n9menpXbWmCw8tvoQnxy6CIC7XseLs4czc0SMU47XU1gsGlvP5LFiZzpfn8zB0ugvzai4IOaPj+fW\nYVFsP5vPHz4+RmaxLaA0JTmUF2YNJyJA0sGFEMIh5lrY8z/45q/2GRQJU9Sd8PCBrhubcI6zm61Z\nQxds63pK1pAjLBaVbX/iU5Vd1LBuVz0dxI6zFbkOTurwYQoXKkpVjXAKzqhl31DVxr73GJcOqyNI\ngKgtNA1OfwF734aiFFXxf8Q8dcJ1677TI6pqzexLK2LHuQJ2nC/gUEYxpsZXde3A001PZKA3Udag\nUXSQN1GB6mt0kA9RgT4EeLvLtJ7LVVul5mQfeh/ObmymXpEBBt2mMosSr+489YrMJlj/K/s7YDcu\ngYk/cdohjTUmHl6xn62n8wDw8XDjtQWjmNo/3GnH7Ikyiyt5f3c67+3JIK/MPhPRz8udimoTzZ1p\nksIMrP/5FHw8O8nvqBBCdAXlubDpaTi4wrZO5wbjH4Kp/0/dHT/5qSp2bTFBwlXqM253bXbRHUnW\nUNtpGuSeUIGiE59C9uHm9wsfbC1yPR0ih7aefWc2qVIIngbJ0uuKMvfDu3OgwlpjNzhJlZLpIUFC\nCRCJJqpNZg6kF9cHhA6mF9d3bWpMr6NJBkBDd4/ujYebnqySSrKKq7hYXElZtanlJ1yCwdNNZR5Z\ns4/sA0jqq3SUckBFPhz9UGUWXdzfdLt/NAybpTKLIgZ1/Pjq1Bhhzf0qMAuqfsIdr8OQu5x2yKKK\nGu5fuoeD1pbtgT4evLVoLKPju16Hwa6i1mxh4/EcVu5KY/vZAoee89xdQ5kzNs7JIxNCiG4oYw98\n/hhkHbSt8w0BDx9Vu6ihgN6wcB2EJnfsGEXbNZs1NAtu/rtkDbVFUZptGlr69813RAuKU4GiAdMh\nboLtpmpxhsrUO/aRChAFxsLYH8LEn3XrZIJu5fSXsHqRrch/73FwzyowhLh0WB1JAkSCGpOFQxes\nAaFzBexPL6La1HxAyF2vY3hsEBOTQpjYJ4ToIG/ueWMX2aVVTfa9bXg0L88d0STjp6yqlqySKjKL\nVdAoq6TS7vuLJVXUtHB8RwQbPNUUtkAfYoLUVLaoQG81tS3Ihwh/L9ylHpJN3mlVq+jw+7aW8Q1F\nDlWBoqGzOnYudkUBvDcHLuxRy14BMHelym5ykovFlSx8azdnrZ23IgO8WbZ4HP0i/J12TGHvXF45\ny3ak8s73aa3uF9vLhx9dnURyhD/9I/zpZXBOHSohhOiWLGY4sFxlFFUWtr5vaH/4yc5u2a2nW2gp\na2j6SyrjRVy+inw4tUFlF537poWOaKGqI1rcBNj0Z6hoprbRoNth1lLJJurs9r4N6x+1BQUHTIe7\n/qeC5z2IBIh6oFqzhSOZJew4V8DO8wXsTS2istbc7L5ueh1DYwKZYA0IjYnvhaFRt6Gskkpe2XyG\njw9exFhjJj7El3snxHP/VYmX1QJc0zQKKmpUxlFJJReLK8kqUdlHdd/nlFa1mrnUGr0OIgK86+sg\n1ddEapCNFGLwvOKpbGVVtazZd4GvT+ZitmiMTwxh3vg4wvy9ruh1ncZiUXdKDq2C4x837fSg00Of\n61SwaMCt4OnrvLEUpcGKO6HgrFr2i4QFa1SwyknO5paz8M1dXCxRwc6kUAPLFo+jdy8n/pyiWcYa\nE4P+8GWbnhPm70X/CH/6RfjTP9KPfhH+JEf4S3c0IYRojbEQvvh/6iZRaxZ8BH1/0DFjEo6TrKGO\nU12mOqKd+AzOfNV8R7TWLPhQdUsTnY+mweY/w7Z/2NaN/zHc+JfOU3KjA0mAqAcwWzSOZpaw47wK\nCO1JKaSipvmAkF4Hg6MDmdgnhIlJIYxJ6IW/t2PFtzVNo8Zswcvd+W8kk9lCTlk1WcUq4+hicWX9\n91kllVwsrqKwouayX9/TXa+mrAWqAtrRgT71xbTr1gW08u9yocjIvP/uIr3QaLc+yMeDdx4Yx/DY\noMseW4eorYRTn1vrFW0CrdHvi6cfDJqp6hUlTGnfu4pZh1XHwLruEiHJcO9HKp3XSQ5mFHP/27sp\nMtYCMKx3IG8vGkuIXycN5vUAM/61jSOZJZfe8RJ69/JRgaNI//oAUp9wQ4ecp4QQoks4uV516mnN\n5Edh2h87Zjzi0qpK4asnYf87tnWSNdRxTDWqQ+DJT+Hk57ZaNa0ZNhfubKbZkXAtUw18/FM48oF1\nhU4Fhib+1KXDciUJEHVDFovG8axSdp5XU8Z2pxS2WvdnYFRA/ZSxcYnBBPp0j25sVbXmJplHF+uC\nSNZ1LQXKHOHv5U5UfSFta00ka3Htv39xqr6GTWMxQT5s+c3UrjPNrTwPjq5RmUUN6xXUCYhRd6uG\nz73yTijnv4VVC6CmTC33Hqc6BjjxLth3Z/J4aPk+jNbfhav6hvCfe8dI5omLfXE0i4dXNFMfCwgx\nePDWfeO4WFLJqZwyTueUcSq7jNQCI2YHUgvd9DoSQnzpH2nNOLIGkOKDfbvO+1IIIdpL6jZY6kAB\n47iJMGy2mi4j2SmuI1lDnYvFrD6/rriz9f3iJ8H9GzpkSMJBlcXw/gJI/U4tu3nBnW/A4NtdOy4X\nkwBRN2CxaJzOLauvIbQrpZCSytoW9+8f4c/EPiFMSAphfGJwj63doWkapVWm+gLamcWVjb6vIruk\nqsUC3VfivwvHcP2gDqzn017yTqlA0eEP7D+Y1Ikabq1XdDf4tbHj15E1sPZhsFh/d/vfAne96dSp\nbJ8dvsiv3j9IrVmd7m4dGsU/5gyX7JJOYtmOVP76+Qmqam3vwcRQA68tGMWAyIAm+1fVmjmfV6EC\nRjllnM5WXy8UVTp0PE93PX3D/GyBI+tUtZggH+meKITovswm+OdQKLvo2P5unpB8g8oi7ncjuEu2\nbYeQrKHOS9PgH4Mu/R4aNBOmPAZRwzpmXKJlxRmwchbknVDLPr1UMeq4Ca4dVycgAaIuSNM0zuaW\ns+O8LSDU2nSqPmEG65SxUMYnBRMq02YcZrFo5FdU2wpoWzuxZZXY6iPlllXT1nfL4zf258fX9nXO\noDuCxQJp29QUtOMf2zJ+6ujcVK2CYXNUvaKGxd2qy+HIasjcq1rqDpwBWYdg41O2fUYvgltedGrH\nh+U7UvnDJ8fq/+/mj4/jzzOHXFbdLOE8JcZavjyeTYmxluQIP6Ykh7X5/6i82sSZ+kyjck5bv88t\na6bYZDMMnm71xbDrp6pF+hHm5yWBIyFE93D8Y/jgPqCZDzQDb1O1itK2Nd3mHagyiobNURlGUsja\nOc59rbKGGjYTkayhzmXrC/D1M47tm3wjXP0YxI5z7phE87IOw7uzoSxLLQfFqxpR0q0RkABRl6Bp\nGin5FfUBoZ3nC8kvb/nCJjHUUF9UekJiMOEB3h042p6n1mwhp7SKi9Yg0p7UQlbsTG/1OUG+Hvxk\nah/mjI3r+lP6aozWekWr1AeYJvWK/GHwTJVZ5OWvTsjlzXR4qDP1d3DNb53W6UHTNP656Qwvbz5T\nv+4XP0jml9OS5WK/hymqqKkPFqmMo3JOZpdSWtXylNyGevl6WDON/G1fw/0J9O3i72khRM90ZhN8\nu0TdwAFVA3DKozDCWp+oOEPd4Dn8PuSdbPr8wFgVtBg2B8IHdNy4u7OqUnUDbd9S2zpDGEz/p8uz\nhrJLqli9N4O0QiPh/l7cOao3fcP9XDomlzLXqvboJz9rtEEPoxdC6nYoOGO/KfFquPo3qp6nfAbt\nGGc3qWB4jepYTPQoVc6irTMfujEJEHVCmqaRUVjJjvP5atrY+QJySlsOCMUG+9TXEJqQFEJUYM9q\nxdfZWCwa1774LWkFxkvu6+vpxuwxsdx/VQLxIYYOGJ2TleeqqWKH3oPsw02369yaBpBsG2HGyzD6\nPqcNz2zR+NMnx1i+U7VQ1+ngTzMGc9+kBKcdU3QtmqaRW1bNqWxbbSMVRCpvsdtjY5EB3tZMI7/6\nwFHfcD98PaWulRCiCzAWgsWkAhHNXbRqGmQfUYGiI2ugPLvpPlHDVaBoyF3gH+n8MXdHzWUNDbkb\nbnne5VlDH+67wOMfHcZktr9c/OW0ZH45rZ+LRtUJWCxwdqMKpBoLVW3O0fdDaF9Vq+jEJyrTKOeo\n/fN6j1OBouTrJVDkTAdWqPdU3bVIv5vh7jfBsxtcg7UjCRB1EheKjPXBoF3nC8ksbrlmRnSgNxOs\nXcYm9gmRNtyd0LYz+dy/dHd9bZuGRsf34siFErvaRjodTBsYweLJiYxPDO4emSy5J1RW0ZHVUJp5\n6f3dPOE358C7aW2Z9lBtMvPoB4dYf1ilk3q46Xhx9ghuGx7tlOOJ7sVi0bhQZF8U+3ROGefyypt9\nnzem00FcsK9dUez+Ef4khhrwdG/7lIySylp2nS/AbNEYHd9LMkWFEK5hMUPKFlWb8MSntrvydXR6\nSJpqnXI+Hbx6cIaJo1rMGnpJTct3sWMXS5jxr2201BPi9QWjuGlIVMcOqivRNDj9JWx93patVydy\nmJp6NmCGTNdsT5oG3/4NtvzNtm7MYhVs7YFt7C9FAkQukl1SZZchlFHYckAoIsCrPhg0MSmU2GAp\nmNoVHMoo5l9fn+XbU7mYNY2xCcH8eGofru0fTl5ZNct3prFyZxoFjepHDY4OYPHkRKYPi76sC8dO\nx2JW3QE+fxzym0lJb+jBbyBmVLsPoaLaxEPL97HtbD4APh5u/Ofe0VzdL6zdjyV6llqzhdT8Crui\n2KdzykktqHCoNpm7XkdSmKE+cJRszTiKC/ZtttaSxaLx8uYzvLH1fH1Gk7tex6wxvfnjjMF4e8gH\nHSGEi9RUwKkNKrPo7OamGcMevipINGyOCho5sc5gl3XuG/jk550ya6jObz44xOr9zTQqsRqXEMwH\nD0/swBF1UZqmup9996Kti1adsAEw5dcw+E55n1wpcy18+gs4uNK2btrTcNUvJFurBRIgugwWi0Z5\njQlfDzeHWyLnllVZ6wepGkIp+RUt7hvq58WEpGBrQCiExFCDBIS6MItFQ4NmL/aqas18fDCTN7el\ncDrH/q5buL8XCyfGM298PMHdodPcN3+FLc+1vs/P9rZ7gbjCihruf3s3hy6UAKr+09uLxjIyrle7\nHkeIhqpqzZzNLbdNVcsp40xOeavZoQ15uetJrpui1iDj6IM9Gfxz85lmn3P7iGj+OXdke/4YQghx\necrz4NhHKliUua/pdkOYCnwMmw3RI+VCrZNlDVksGlmlVaTkVZCSX05KvtH6tYLUS5RQ8HLXc/zP\nN0nTj7ZI36mmnp3daL++VwJM/hUMv0e6BV6OqlL4YCGc/0Ytu3nC7a+pbsuiRRIgaoPKGjOvfnOG\nVbszKKioweDpxu0jY3j0+n6ENOoMVlBezc7zhfVZQufyWg4IBRs8VUAoSdUQ6hvuJwGhHkbTNLad\nzefNbSl8eyrPbpuXu547R/Vm8eQE+ob7u2iE7SDnOLzWyh2liCHw8LZ2/ZCYWVzJvW/u4rz1/RcV\n6M3yxeO69r+j6NJKq2o5k1PeqL5RGfnlLXeibIvNv76GPmEyhUMI0Ynkn1WBosPvQ3Fa0+0hySqr\naNgsdUHc07goa0jTNPLLa0gtqCAlr4Lz+RWk5ldYg0AVVJssl36RFkQEeDFzRAy3j4hhULRzSgd0\nSxcPqEBR40LXATEq42XUQvvOwKJlpRdh5WzIOaKWvQNh7ruQMNm14+oCJEDkoBqThXvf3MWulMIm\n25JCDby1aCwns8vYae00diqnrJlXUQJ9PBifaM0Q6hNCv3B/9BJlF1Znc8t4a3sqH+2/QFWt/R/n\nqf3DWDw5kcl9Q7tmEPHTX9jfHaujd4f5q6HPde12qDM5ZSx8azdZJVUA9AkzsGzxeGKC5A+r6Hzy\ny6tVsCi7jFPWANLp7DLKqh3rqFbnqr4hzB4Ty4DIAJLCDHg4mOUqhBBOp2mQsVsFio59BJVFTfeJ\nm6iyigbd3mmmVDlNdRl89WTTrKFb/wGDbmu3w5RW1ZKSp4I+5/NsAaCUvIo2/Y3R6SA60AdvD32r\nN74bGxDpz+0jY5g5Iloa6Tgq5zhs+wcc/RC0BtcChjCY+DMYu1h1BhbNyzkGK2fZaqAGxsL8NdJd\n0UESIHLQB3sy+O2HzXRlcoC/lzvjk4KZYM0QGhQVIAEhcUlFFTW8uzudd75PJbfMvotd/wh/Hpic\nwMwRMV2r5ojFDNv/CTtfh4pctS5mDEz7o2r12U72pxfxwNI9FBtrARgeG8Tbi8Z2j6l6osfQNI2s\nkqr6+kZbTufx/bkCh5/v4aajb7g/AyP9GRDlz4DIAAZE+RPm59U1A8xCiO7DVKPaTR9+X9UtMjfq\n1qv3gH43qmBR8o3g0c0K8TebNXQX3Pw8GELa/HJVteb6oE9K3VdrIKitGaph/l4khhhIDDWQGGYg\nIcRAUpiBuGBfvD3cqKwxc9dr33M8q7TJc4N8PJjSL4xvT+Y2CT7pdDAhMYQ7RsZw09BIArw92vxz\n9jgF52DbS6rpi6XWtt47CCb8GMb9qPsHUtvq/BZ4fwFUW38/I4epm9DSTdFhEiBy0Pz/7WT7Wcc+\nmBs83RibGFxfWHpwdKDMwxWXrcZkYf2Ri7y5LYWjmfZ/jEMMnsyfEM+9E+IJ8+9Cc5PNtepDkbsP\nBLRvp4stp/N4ePm++gK+U5JDeX3BaAxeUuRPdG3FxhrG/3XzFaX9gzpv1AeMIv0ZGBVA33C/rhVs\nFkJ0H1UlcPxj1QmtcbFeAK9AGDxTTUOLm9S1uztVl8FXT8G+t23rHMwaqjVbuFBU2bQmUL7R4fp2\ndfy93UkK8yMxxJfEUD8SwwwkhhhICPXF34HATbGxhiWfn2TdwUyqTRb0Orh+UARP3jqI2GBfqmrN\nfH0yl7UHMvn2VG6Tbp+e7nquHxjB7SNjuKZfWPdoyuJMxRnw/Suw7x37YKqnH4z9ocoq8pPGKxx6\nHz7+qS2Y1ncazHpHuie2kQSIHHTLy981Gymvo9fBr2/oz8Q+IQyNCZS0ftHuNE1jd0ohb25LYeOJ\nHLsOSZ5uem4bEc3iyYkMjOq5c70/PpjJrz84hMnae3X6sCj+MXuEfPAQ3cYznx3nzW0pzW67pl8Y\nv7q+HyezSjmZXcaJrFJOZJVSWnXpKQRueh2JoYb6gNFAawApKtBbso2EEB2nOAOOrlEXenknmm4P\njIWhs1SwqKtNF3Ega8hi0cgurSIl374mUEp+BRmFxvrPN47w9tCTUJcJ1OgRbPBsl3N7RbWJnNIq\nQgxeBPo2H1gqqqjhsyNZrDuQyb60ptMKe/l6MH1YNLePjGFUXJD8zWlNWQ7seBX2vAm1Dab5ufvA\n6Ptg0iMQGOO68bmKpsF3L8DXz9rWjVqoAq9ukqnWVhIgctAvVx1g3cGLLW4f3juQj38mRa9Ex0gr\nqODt7ams3ptBRY19G9lJfUJYPDmRa/uH96ipjEu3p/D0Z8frA2cLJ8bzpxmDe9S/gej+as0W/vjJ\nMVbtTqfhdcK0gRG8NGd4kzu/mqYuNlSwqIyT2WWczCrlfH4FZgcuNAK83RkQFWCdpqYyjvpH+uPr\nKRl5Qggn0jTIOaqmoB1ZA2VZTfeJHKYCRUPvdvr0kbSCCg5mFOPj4cakvqH4tSUruZmsIYtvKOfH\nP8N+wxS7IFBqQUWT+pOtcdfriAv2JTHUQII1+JNk/T4ywLvTfQZKLzCy7mAm6w5kcr6Zjs5xwb7c\nPjKG20dEkyQNF1pmLIRdr6tHVYltvd4DRs6Hq34JwYmuG19HMptg/aOw/x3buuuehCmPdfruiN+f\nzed/21Lqzy03DI7gR1cnubxWlwSIHD1uWiF3vbajxe0vzBrO3aN7d+CIhICSylo+2JPB0u9Tm6QX\nJ4UauP+qBO4a3btbX8xpmsZLG0/zytdn69f9alo/HvlBX7kLJbqtzOJKtpzKw2yxMC4xhP6RbStW\nWVVr5mxueX3AqC7jqKDi0rUqdDqID/atr2k0IFJlHMX28u10FyNCiG7AYoaUrWoK2olPoKbcfrtO\nD4nXwPC5MGB6u04nKams5bdrDvHlsZz6dX5e7vxyWjKLJye2+jmjrKqWvENfEfntY/hW2m4yf84k\nfl+1kCIcy/iuKw5dl/2TYA0CJYYaiOnl0yVnLWiaxuELJaw9kMmnhy42+7dneGwQd4yIZsbw6Cbd\nooVVVSns+Z/KKjI2KIWic1OZdlMehbD+rhufs1WXw5r74cxXalnvDjP/rc4FndyKnWk8ue5ok/Wh\nfp6sfngSiaEGF4xKkQBRG/zvu/M8u75puuu9E+L588zBcjEqXMZktvDlsRze3Hae/enFdtsCfTy4\nZ1wc902Kd3lEur2ZLRp/+PgoK3elA+pD1J9nDuHeCfEuHpkQXVNeWTUns0s5mVXGCevXs7nl1Jgv\nfUfb19ON/pG2gNGAyAD6R/oT6CPp3UKIdlJjhFOfq2DR2U2g2WdR4+ELA25VmUVJ14Lb5d8g0zSN\nuW/sbLaDMcBf7hjCXaN6k15orO8OlpJfTmq+key8fH5U/TYL3DfX75+nBfBk7QN8aRnX7OuF+nk2\nmAbmR2Koqg8UH+LbrWvE1ZotbDubz9r9mXx1PLtJBpWbXsc1/cK4fWQM1w+MwMez+/5bXLaaClWf\n6PtXGmXb6VRtqymPQdQwlw3PKcpy4N1ZkHVILXsFwJzlkDTVlaNySE5pFZOf+7pJba46U5JDWb54\nfAePykYCRG10IquU9/dkkFpQQbi/F3eN6s34pLZ3GxDCWfanF/HmthS+OJptN4XEXa/jlqFRLJ6c\nyPDYIBeOsH1Um8z86v2DfH4kG1Adm16aM4Lpw6JdPDIhupdas4XzeRWczK6bpqYCR9mlVQ49PybI\npz5gVJdxlBDii3sXvOsthOhEyvPg2Fo4vAoy9zXdbghTNX6GzYboUW2ebvL9uXzm/XdXi9v1OtCA\nxldMk/RH+bvHG/TW5dev+8Q8kT/W3ofJK1gVhG5UEygh1CBdvYDyahNfHs1m3cFMtp/Np/FMaIOn\nGzcNieKOkTFM7BMiTYAaM1XDwZWq81lxuv225Bvh6scgtvkAZZeSdwpW3A0l1p/RPxoWrIGIwa4d\nl4Pe2HqOv35+stV9djxxnctu7HdogMhsNvPkk0+SkpKCm5sbS5YsIS4ursl+Tz31FIGBgTz22GMO\nD1gIYS+zuJJ3vk/lvd3plDUqUjsmvheLJydyw+DILvnHtbzaxEPL99Z3FvT1dOONe8cwOTnUxSMT\noucoqqhRU9SsAaOT2Xn0T68AACAASURBVKWcyilzqH6Gl7uefhH+DLDWNqqrcRRs8OyAkQshup38\ns3DkA1WzqCi16faQZJVVNGwW9Eqw22S2aOSUVpFRaCS90EhGUSUZhUZ2nCtwOBAOYKCSJ9zftcsa\nqnDvxcHhf8Bz6O0khhoIaafi0D1BTmkVnx66yNoDmRy72LRRULi/FzNHqOLWg6IC5N+1IXOtqt31\n3YtQcMZ+W+LVcPVvIGFKp6/R06zU7bBqHlRZZ0xEDIF5H3Sp4ty/X3ukfvZDSz7+6VUuu6HfoQGi\nTZs2sXnzZpYsWcKuXbtYunQpr732mt0+q1atYu3atYwdO1YCREK0g4pqE6v3ZvD296mkFRjttvXu\n5cP9VyUye0xvh9qadgYF5dUsensPRzJVUb5evh4svX9ct8iKEqKrM1s00goq6msbnbAGkDIKHWvB\nHO7v1SBgpLKN+oT5OdSJ8HxeOct2pHEgoxgfDz03DY5k1phYDG0pJiuE6No0DS7sUYGiox9CZdOu\nWVmBI9jtN40vmciJEncyiyodmkbbnLEJvRgaE8RE/VGmHP8T3hWZto2D74RbXqjvUCYu3+mcMtYd\nyOTjgxeb1NwE6Bfhxx0jezNzRDTRQd2rnMIVsZhV3a6tL6ii7w3FjldTz5Kv7zqBoiNrYN2PwWyt\nWZU0FWYvA+9AV47KYVkllbz5XQrLdqS1es7R62Dn735AuL93B47OpsOnmJlMJtzd3Vm7di379+/n\nmWeeqd924MABPvjgA8aOHcv58+clQCREOzJbNDafyOHNbSlN5tP7ebkzZ2wsiyYlEBvs66IRXtqF\nIiML39xd3/kiOtCbZYvH0zdcOl0I0ZmVVdVyKrtMBYysRbFPZpU26cLYHHe9jr7hfgyI9GdgVEB9\nACnM36v+jvGm4zn8eOW+JvP5+4b78d6DEwjzlwKnQnRn1SYzmUWVdhlAFwtKCM/ZxvjyjUzV9uGl\nq7V7To3mxreWEaw1T+Zry0iqsc9g9HTXU2Nq+SIu1M+L7381Fs9v/gR737Jt8A2F6f+AQTPb80cU\ngMWisSe1kHUHM/nscFaTDHmdDsYnBnPHyBhuGhIlNfDqaBqc/hK2Pg+Ze+23RQ5TU88GzAB9J536\nrWmqvtLGP9jWDZ8HM14G986feXw2t4z/bDnPuoOZLdYdauj6QRH8d+GYDhhZ81xSg+jxxx9n48aN\nvPLKK0yerFrD5+bm8sQTT/Dqq6+yYcOGVgNEvr6d9wJWiK7gbEE1646XsCW1nIafffQ6mBhn4I5B\ngQwK8+pU6bppRTX8fmMWBZXqgjI20IO/XB9FmEGyA4ToiiyaRm65iZSiGrvHxdJaHPkAEuClJ7GX\nJzEBHmw8W0ZLM9uuTjDwxDUR7Tp2IUTHsmgahUYz2eUmsstrySlTX7OtXwuM5lbPG/4YucltN3fo\ntzFBfwK9zn5vo87A8cApXIi4Hkv0SKL8vfD30vHo51mkFFRwo34PI/RnqcSLL81jOKol8eyAdGbn\n/hNPY3b965TETiNn9GOYvSSr2dlqzBZ2XzDy9bly9mQaaRzL89DrGB/ry3VJfoyJ8cXDrfN8pnUZ\nTcM3dy+hx9/GkLvfblN1QCL5A++jNG6a6gbWWVjMRBx4ieCza+pX5Q1eTP7gH3b6zKcTeVWsPlLM\njgz7GRz+XnqGR/qwPa2iyXkr0s+dv98U7dLrG6PR6Joi1Xl5ecyePZv169fj6+vLsmXLWLduHQaD\ngby8PKqqqnjkkUe488477Z4nGURCtJ+c0iqW70hj5a40ioz2d9aG9w7kgcmJ3DI0yuUtVPelFfHA\n0j2UVKoxjowL4q37xtJL6pUI0e1U1pg5nVNmVxT7RFZZ/fu/rfQ62P74dUTJtANhVWKs5X/b1N3c\nYmMt/SL8WTgxntuGR3eqGyM9TWlVLRmFRuujLhtI1QW6UFTZajZPS4INnsT28iE22JfYYF/ign3p\n41lMcu6XBJ35EF1e0+7EBPRWtYqGzaGo0kztsrsIN2fb7VLkHUuvqgzbCskacqliYw3rj2Sx7kAm\ne1KbTisM8vVg+jBV3HpUXC95nwOk71RTz85utF/fKwEmPwrD73F9dk6NET5crDoXAujcYMY/YdRC\n146rFZqm8e2pPF7bco7djWZsxAT58MMpicwZG4uvpzvHLpawdHuqdWq8GzcNiWT++DiCfF37796h\nGUTr1q0jJyeHhx56iPLycm677TY2bNiAl5d96vdHH30kU8yE6ECVNWbWHsjkre0pnM0tt9sWFejN\nwokJzBsXR6Bvx6fqfnMqlx+v2Fdf+PbqfmG8vmAUvp6d6O6GEMKpNE0ju7SKk1llnGhQFPtcXoVd\nt8aW6HWQEGKgT7gfyeF+JEf4kRzuT58wP2mZ3MMUVtQw6/XvOZdX0WTbokkJ/Om2rtEFx1lM5v/P\n3n2HN1W+fxx/J2m6B7SlUDqgpey99yqgAgoUB+6vIogDHPxQHOBXBUURUXAxHChfUFFZCih7Q9kb\npLSFLjppS9t0ZJzfHymhpYMCbdNxv66rF+ack3PuKKbJ5zzP/Zg4ezkDg8lES2/Xcl1ePc9gIi7t\nhuCnQBCUprv1ENjORm0Jfm4MgvzcHXEurQeZopj7spz41dzbpNDy4Pk0WnPD34JPAwrFC61D8nsN\nyUIZVUH0FR1rjsWy8mgsEcX8f+7n7kBIBx9GdvShST1pUUDcUXMz67N/Ft7u6gO9XzaHMVor3GDJ\nTIKfx1xfodDWGR76EYIGV34tZWAwmvjrxGUW7AjnXHxGoX3N67swoX8g97VvaPWb7mVRqQGRTqfj\nzTffJDk5GYPBwPjx48nOzkan0zFmzBjLcRIQCWEdJpPCzrAkvtsdya6w5EL7HLQaHujsy9O9GxNY\nSb9QVx+NZcpvxzHkfwEc0b4hcx5sX6aGtUKImi/XYGTW+nMs2Xvxtp6vUpmb9Tf1cqGpl7MlQAry\ncq42jfvFrZm++hRL918qcf/vz/WkS2P3Sqyo6vjlQBSfbw6zrNzlam/DM30CmRQchLoMK54qikJS\nZm7hEUBXro8AupyeXWTZ8ptRqcDb1f6G4MchPxByLNSL7I6YjHBxF5xYAWfWQF7mzZ+DCkIWQvsx\nNz9UVDpFUTgZm86qo7H8eTyO5My8Ise093VjVEcf7mvfEE/nWt6rLvEs7JoLp34HpcBoPad60HMi\ndH0G7Fwqp5bkC7Ds/usrEjo3gMdWgHf7yrn+LcjOM7LiUDSLdkYUaaDetXFdnh/QhIHNvarVqDWr\n9CC6ExIQCVE5zidk8P3uSFYejS00rFulguDmXjzTN4CegR4V9ob3/e5I3v/rjOXxU70a8869rcr0\nIVUIUXvEpWXTd/a2EkcSNXC1o2l9F8ISMm9pyWpvN3uCvMwjjZrWd87/Z2erD/0Wt0ZRFK5k5RGb\nlk1Uio7JK46XunpMHUctjT2csNWo0dqozH9q1Ght1Nhq1JbtWo0a2/xt2vwf8+Pr+65vV2Gr0aDV\nqK6fx0Zd4Ljr17G1UWOjVlX6l4ml+y8xffWpYvc93bsx/73PPLIqM9dgmQZ2Lfi5FgRFp+oso31v\nhZuD1hL8+OUHP9dGADWsY4+dTSWP8svTwfkNsPk9SCs5TARg/Dbw6VQ5dYnbZjCa2H0hmdVHY/nn\ndALZ+sILJGjUKvo19WRURx/uatWgdo8sTQmH3Z/B8V/AVGD0nH0d6PE8dJ8ADnUr7vpRofDzw5Cd\nPz2rXgt47Deo419x17wNqVl5/LTvEj/uu8iVrMLh4+CW9Xl+QCCdG1XPmw0SEAkhSpWSmcuy0Ch+\n2neJ5MzcQvtaervyTJ8A7mvvXW4f4BRFYc7Gf/lqW7hl2/8NacbE4KBqlb4LISrPop3hfLj+XJHt\nbg5aVkzoSfMG5rueV3P0hCdmEpaYyYXETMISMghLzCQmteiyySXxdLYrME3NmaD8AMnDyVbeo6zA\nZDKPWolJzSY2LZuYVB2xqdmWx7Gp2UW+DFYHtgXCo2tBk9210MmmcKCktQRX5uPtCoRTJQVX1wMw\nDaDw+u8nSl1VsJW3K/FXc4p8ESrra/F1dygQ/JhHAPnWNYdAVXalqS0zYNec0o95IRS8WlROPaJc\nZOUa2HgmnlVH49gdllRkVJuTrYa72zQgpKMPvZp4oqmtNybTos0rhx35CQwFbq7YuphHE/WcCM71\nyveaZ9bCyvHXr9e4L4xZWrGB1C2KS8vm212R/HIwCl2B90wbtYqRHXx4rn8gTetX0kirCiIBkRCi\nTHINRv48fpnvdkdy9vLVQvs8ne14smcjHuvuj8cdDNE1mhSmrT7JzwfMjR9VKpg5qg2PdW90R7UL\nIWq+TWcS+HZXxPVmj60b8MLAJjTycLrpc3V5BsITs7iQlEFYwvUA6VJKVpmnxNRx1F4PjAr0Oarv\nWrVWhKxuDEYTCRm5xFzR5QdA5tDnWhgUl5ZT6oigW+Wg1WCvVaM3KuQZTbfVGLk2auBqX+wIIH93\nR7xc7Krn6N+4Y7Cof8n7PZvBiweq/EpKomSJGTmsPRbH6mOxnIq9WmS/l4sdI9o3ZFRHH1o3dK2d\n7+UZCbDvSzj4HegL9HSycYDO/4FeL4Gbz51fZ/838PebcG1dr7YPwsivwKZqTP07n5DBgh3hrD0W\nZ2l9AeBoq+Hhrv6M6xtAwxqyGIYEREKIW6IoCvsiUvh+dyRbziVS8J3C1kbN6I4+jO0TQLNbTM9z\n9EZe+eUYf582rxRiq1Hz+cMdGNbWuzzLF0KIMsvRG4lMzrIERhcSzQFSZHJWoQ+IpXGxsyGovjNB\n9a6HRkFezvjUcaieX5rLWZ7BxOX068FPzA2jgOKv5pSpEfmNVCpzaOFb1wGfOg741HXAt64ju8OS\nWXeymGbE+da/1JdWDV0tjxVFwWBS0BtN6A0KuUYjeqOC3mBCbzSRm/+n3qiQl//Pecb8Py2Pzcfn\nGU3Xn5d/Pn2BY68979q5bjzPjdvN51LKNSAriZ2Nmib1nAuPAMoPgHzqOJRrM+sq5Y9xcPK3Ynao\n4OHl0GJYpZckKkZYQgarj8Wy+mhckV4yAE29nAnp5MPIDj741JAg4JborkDoAvNPTvr17WotdHwM\ner8C7gG3fl6TCTa+Dfu/vr6tz6sQ/A6ord9z9NDFKyzYEc7ms4mFtrs72fJUr8Y82bNRjZt6LgGR\nEOK2RSZn8cOeSH47FFNkCH/fpp480yeA/s3q3fSOS0aOnmd/Osy+iBTAPLx30ZNd6B0kK4IIIaoe\nvdHEpZSsQqONwhIzCU/KLPOIEwetxtLX6HqA5IK/u2ONmtKQozeWOv0rISOH2/nEaaNW4V3HHp86\n5uDH/Gd+EFTHkQZu9sUuaKDLM/Dkdwc4dKnoUthvDG3Bc/2b3M7LtCpFUcyhVaFQqpjQqlDopFi2\npWTlMmvDuVL/O/w2oQddAzwq70VVFUY9bJ0Jh76D3PyViTybweD3JByqoUwmhUOXUll1NJZ1J+K4\nmmMockz3AHdCOvowtK13kSmScWnZrDtxmVRdHs3qu3BPmwY1K0DNuQoHv4V9X4GuwII2Ko151E/f\nyVCvednOpc+Glc/C2bX551CbVwTs+kz5130LTCaFbf8msmBHOAcvFv5d4VPHgWf7BfJQF78a26tK\nAiIhxB1L1+n5+WAUS/ZcLNIENsjLmbG9AxjdyQd7rYZt/yby3a5IjkWnYa9V079ZPU7GpnM+wbxi\niLuTLUue7ko73zrWeClCCHHbjCaF6Cs6whIzCUvM4EKBAKmsfXBsbdQEejrRtH7+VLX8VdUaeTjd\n1gqOJpPCgYtXiErRUc/Vjj5BnuW6zG5Gjt4S9hQMfmJSzVPCils5qCxsbdT4Wkb+FB4F5FPHgfqu\n9rcdpOUajPx+OIY1x+JIy/8S90SPRnQPrIUBSL7/W3GcP47EFLuvk38d/ni+V+2cXnNNXhYknwet\nozkgqs3/LmqRXIORbecSWXU0lm3nkoqM1rPVqBnU0otRHX3o38yTRTsj+Xzz+UJTkz2dbVn4RBc6\nN6o6fXTKRZ4OjvwIe+ZBRsFRmSpoNQL6TgHvdtc3ZyZB5A4wGcC/p3nZ+l8egehQ836tIzzwAzS/\np1JfRkF6o4k/j8exYEe45XvJNS0auPBc/yYMb+ddLZaqvxMSEAkhyo3eaGL9yct8vzuS4zHphfbV\nddTSxseNXWHJJTzbnMovfaYbgfWcK7pUIYSoNCaTQlx6tjksSjCHR9f+OSO36N3p4tioVTT2dLoe\nGuUHSAGeTiXenT4Vm87LvxwlPOl634j6rnZ8dH87Bjb3uuk1FUUhPVtPTIHw58ZRQOnZ+puepziO\ntppig59ro4A8napp35pqSpdnYOLyo2w9V3gaRVsfN777Txe8XO2tVJkQVUOaLo/1J+NZfTSWAxev\nFNnvoNWUeCPA1d6GrVMG4HkHfTqrLEMuHFtmXvksLarwvqZ3m6eL/bvePDXNWOCGga0z5OWHME71\n4NFfwcc63/F1eQZ+ORDNd7sji0wv7B7gznMDmjCgDDMiagoJiIQQ5U5RFA5fSuW73ZH8czq+TE1e\nHbQatk0ZQAM3+RAqhKgdFEUhMSM3f6paRqEAKVVXtuBFrQJ/d0fLamrmAMkFF3sbRn21h7RiAhwb\ntYqVL/SirY8byZl5JU7/iknVlbqyVWlc7W3wqetoCYF8LSOBzNvqOGprzYft6kJRFI5Fp7HtXCJ6\nk0KPQA/6BnlKUCfEDaKv6Fh7PI6VR2IKBfClee3u5rw4MKiCK7Miox5O/g67PoWUsLI/z6MpPP47\n1G1cYaWV5EpWHj/uvciP+y6SdsPv3Lta1ee5AU3o5F/DRn6VgQREQogKFX1Fx5K9F1m679JNG2nu\neSO4djb+E0KIG6Rk5uZPVcvkQkKG5Z+TMnLL5fxOdhoMRoXc21yly8PJtvD0r2u9gPJHALnaV9Gl\ny4UQopwoisLpuKv8ejCapfsvlXpsYw9HPghpS0f/Ojja2lRShVZgMpp7Cu38FBJO3vz4sf+Af4+K\nr6uAmFQd3+6K5NeD0YVGfWk1KkZ18GFC/0CCvKr3UvV3oqS8pQb/rRVCVCY/d0em39uKXL2J/4WW\n/sszOSNXAiIhhAA8nO3wcLajxw19cdJ0efkrqmUWCpDi0nNKOFPxsnJLHxlU39Uuf/pX0VFADes4\n1OwvOEIIUQYqlYo2Pm4EeTnfNCC6mKLjsW9DsVGraOfrRvdAD7oHuNOlsTvOdjXo/VStgdYh0GoU\nbP8IdnxU+vGxRyotIDoXf5WFOyJYezyu0OqYTrYaHu3uz9g+AXi7yfeQktSgv6VCiKqgaf3S+wqp\nVdBQwiEhhChVHUdbujQ2f6koKCNHT3hSFmEJGVxIyuTn0KhiV9+5RgV0DXDHt0Dfn2vTv7zr2GNn\nUzNXZxFCiPJmr9UwoHk9tv+bdNNjDSaFI1FpHIlK45vt4WjUKto0dKVbgDvdAzzoGuBeZGW0akml\nAt8u1q4CRVE4eDGVBTvCi/RY83Cy5enejXmiR2PcHGvAv/MKJgGREKJcjezQkI82nCuxgd/drRtQ\nz6UGNu8TQohK4GKvpYNfHTr4mVeAtFGr+GpbeInHD23bgK8fkyn7QghRHl4d3Iy94SnkFTNtt6W3\nC1Puas6RqFRCI65wPCYNvdE8gsVoUjgek87xmHQW74pEpYKWDcyBUY9Ad7oFeODuZFvZL6d8+HYF\nGwcwZJd8TOCACrm0yaSw5Vwi32y/wJGotEL7/NwdeLZvIA928StxkQdRlPQgEkKUu79PxTNx+REM\nN3StDvR04pdne8gqKUIIUU4SruZwz+c7i212rdWo+OP5XrTzrWOFyoQQomYKjUjhv2tPcy4+AwCN\nWsWwtt7MGNmaOo7XQ57sPCNHo1IJjbxCaGQKR6PSSu0H16y+M90DPOge6E63AHe8XKrR5+XN75pX\nOCtOi3vh4WXlerk8g4m1x+NYuCOcsMTCS9W39Hbl+QFNGNamATY1fKn6OyFNqoUQlSosIYMley9y\nLDoNe62GoW0aMKarHy7S0FQIIcrVnS5zL4QQ4tYoikJYYiapWXkE1nMu0+j4XIOR49HpHIhMITTy\nCocuppY44h7MN1a7B7pbQqMq3TfHZISN0+HAIjAVuGHR5n4Y8QXYOpXLZbJyDfx8IIrvdkdy+Yae\nfD0C3Xl+QBD9mnrK6pllIAGREEIIIUQNZTIpHLh4hagUHfVc7OjT1BOt3DkVQogqS280cTI2ndAI\n8wijQxdTycwtuaecn7uDOSwKcKdHoAe+dR2qXhCSmQjh28BkgEY9wT2wXE6bkpmbv1T9JdKzrwdQ\nKhXc3aoBzw1oYpl6LcpGAiIhhBBCCCGEEKIKMhhNnL2cQWhkCvsjrnDw4pVCYciNGrrZm5te56+U\nFuDpVPUCozsUfUXH4l0RrDgUTY7++vQ8rUbF6I6+PNs/kCb1Sl8gRxRPAiIhhBBCCCGEEKIaMJkU\n/k3IIDTCPCXtQOQVUrLySjy+nosd3QPczT+BHjT1cq62gdHZy1dZsCOcv05cLrRUvbOdDY/lL1Vf\nX3qa3hEJiIQQQgghhBBCiGpIURTCkzLZH3HF3Pg6IoXEjNwSj3d3sqVbY3dL0+uWDVxRq6tuYKQo\nCqGRV1iwI5zt/yYV2ufpbMvTvQN4vEcj3Bykn2l5kIBICCGEEEIIIYSoARRF4WKKztz0Oj80ik0r\neal5V3sb85S0/KbXrbxdq8QqXyaTwsYzCSzYEc6x6MJL1fu7O/Jsv0Ae6OwrS9WXs5LyFhsr1CKE\nEEIIIYQQQojbpFKpCPB0IsDTiTFd/QFzzx7zdDTztLRLKTrL8VdzDGw+m8jms4mAebpW50Z1LSul\ntfVxw9am8gKjPIOJ1UdjWbgzvNAqnACtG5qXqh/axhtNFR71VBNJQCSEEEIIIYQQQlRzfu6O+Lk7\n8kBnXwDi03MsTa8PRKYUCmIycw3sOJ/EjvPm6VwOWg2dGtWxrJTW3q9OhYzaycw18HOoean6+KuF\nl6rvHeTBc/2b0CdIlqq3FgmIhBBCCCGEEEKIGqaBmz0jO/gwsoMPAEkZuRyIvEJo/rS0fxMyLMdm\n643suZDCngspANjaqOnoV8fS9LqTf10cbEsPjC6nZ7PrfDIGk0K3AHeCvK6vMJaUkcuSvZEs3XeJ\nqzkGy3aVCoa2acBz/ZvQzleWqrc26UEkhBBCCCGEEELUMqlZeRy4eCW/h1EKZy5fpaR0QKtR0c7X\nHBh1C3CnS2N3nO3M400MRhPv/3WGZaFRhVYdu7t1fV4Z3IxloZf47VAMuYbrS9XbatTc39mH8X0D\nCZSl6iudNKkWQgghhBBCCCFEsdKz9Ry+ZA6M9kde4VRseqHApyCNWkWbhq50D/TgYnIWG88klOka\nLnY2PNajEWN7N8ZLlqq3GmlSLYQQQgghhBBCiGK5OWgJblGf4Bb1AXO/oMOXUi0rpR2PSUNvNAdG\nRpPC8Zh0jsekl+nc9VzsGNs7gMd6+ONqL0vVV1USEAkhhBBCCCGEEKIQZzsb+jerR/9m9QDIzjNy\nNCqV/fkrpR2JSiOvwLSxkgxr24C5D3WQpeqrAQmIhBBCCCGEEEIIUSoHWw29gjzpFeQJQK7ByJI9\nF5m14Vypz+vSyF3CoWpCbe0ChBBCCCGEEEIIUb3Y2Wh4tLs/jjdZ3axfM89KqkjcKQmIhBBCCCGE\nEEIIcctc7LWM6xtY4v5723kT5OVSiRWJOyFTzIQQQgghhBBCCHFbXhnUFJNJYfGuCMtS9hq1itEd\nfZgxqo2VqxO3QgIiIYQQQgghhBBC3Ba1WsWUu5szrm8A+yNS0BsVujSui7ebg7VLE7dIAiIhhBBC\nCCGEEELckTqOttzTxtvaZYg7UKaAKDMzk507d5KXl2fZNmrUqAorSgghhBBCCCGEEEJUnjIFRC+8\n8AJeXl54e5vTQJVKVaFFCSFETZVjyGFz1GaiM6Kp51CPIY2G4GbnZu2yhBBCCCGEELVcmQIiRVGY\nM2dORdcihBA12v7L+3l9x+uk5qZatn184GPe7vE2o4JkVKYQQgghhBDCesq0zH3z5s05fvw4eXl5\nlh8hhBBlF301mklbJhUKhwByjDm8s+cdDsYftFJlQgghhBBCCFHGEUQHDhxg69atlscqlYotW7ZU\nWFFCCFHTLD+3nBxjTrH7FBS+P/U9XRt0reSqhBBCCCGEEMKsTAHR2rVrb+mkRqORadOmERkZiUaj\nYdasWfj7+1v2//PPPyxatAiVSsWYMWN48MEHb61qIYSoZo4kHil1/9HEo5VUiRBCCCGEEEIUVaaA\naMuWLSxfvhy9Xo+iKKSlpfHnn3+WePy2bdsA+OWXXwgNDWXWrFl88803gDk8+vTTT/njjz9wdHRk\n2LBhDBo0CHd393J4OUIIUTVp1do72i+EEEIIIYQQFalMPYi++uorJk6ciLe3NyEhITRr1qzU4wcP\nHsyMGTMAiIuLw9PT07JPo9Gwfv16XFxcSEtLA8DJyel26xdCiGphgN+AUvf39+1fOYUIIYQQQggh\nRDHKNIKobt26dOzYkV9++YXRo0ezcuXKm5/YxoapU6eyadMm5s+fX2Tfxo0bef/99+nfvz82NsWX\ncfbs2bKUJ4QQVV572uOkcSLLmFVknwoV/Rz6yXueEEIIIYQQwmrKFBBptVoOHjyIwWBg165dJCUl\nlenkH3/8MVOmTOGhhx5i3bp1ODo6WvbdddddDB48mDfeeIPVq1dz//33F3l+y5Yty/gyhBCiakvP\nTUd9Sg3GovsUFNKc07ir+V2VX5gQQgghhBCiVjl8+HCx28s0xey9997DYDDw/PPPs2LFCl566aVS\nj1+9ejULFy4EwMHBAZVKhUajASAzM5PHH3+cvLw81Go1Dg4OqNVlKkMIIaqtRScWkZGXAUBIUAgL\nBi/g0/6fYqMy5/SfH/6c5Oxka5YohBBCCCGEqMVUiqIoZTlw3759REdH065dOwICArCzsyvxWJ1O\nx5tvvklycjIGRRRgXwAAIABJREFUg4Hx48eTnZ2NTqdjzJgx/Prrr/z+++/Y2NjQvHlzpk+fbgmQ\nrjl8+DCdO3e+s1cnhBBVQPTVaEasGYHBZMDNzo11Ietws3MDYO7hufxw6gcAhgYMZXa/2dYsVQgh\nhBBCCFHDlZS3lGmK2dy5c4mPjyc8PBytVsuiRYuYO3duicc7Ojoyb968EvePGTOGMWPGlOXSQghR\n7X125DMMJgMAz7d/3hIOATzX7jn+ifyHuKw4NkRuYFSTUfTy6WWtUoUQQgghhBC1VJnmdh0+fJjZ\ns2fj6OhISEgIMTExFV2XEELUCEcTj7Lp0iYAGrs25qHmDxXa76h15O0eb1sezwydSY4hp1JrFEII\nIYQQQogyBURGo5Hc3FxUKhVGo1F6BgkhRBmYFBOfHPzE8vjVzq+iVWuLHNfPtx9DGg0BIDojmsUn\nF1dajUIIIYQQQggBZQyInnrqKe6//34uXLjAgw8+yGOPPVbRdQkhRLX3d+TfnEw+CUCX+l0Y6Dew\nxGOndp2Kk9YJgO9PfU9EWkSl1CiEEEIIIYQQUMaASKvV4ufnR9OmTXF1dWXt2rUVXZcQQlRrucZc\n5h253ottStcpqFSqEo+v71SfSR0nAWAwGZixfwZlXENACCGEEEIIIe5YmZpUz549mxkzZuDq6lrR\n9QghRI3wvzP/Iy4rDoD7Au+jtUfrmz7n4eYPszZ8LWdSznAo4RBrwtcwKmhURZcqhBBCCCGEEGUb\nQdS0aVO6detGixYtLD9CCCGKl5KdwrcnvwXAXmPPS51eKtPzNGoN7/R8B7XK/Nb86aFPSc1JrbA6\nhRBCCCGEEOKaMo0gGjRoEGPGjCEwMNCybdasWRVWlBBCVGffHP+GTH0mAE+2fpIGTg3K/NzWHq15\npMUjLDu7jLTcNOYensuM3jMqqlQhhBBCCCGEAMoYEC1dupRx48bh4uJS0fUIIUS1FpEWwe/nfwfA\nw96DsW3G3vI5JnaYyKaLm0jMTmT1hdWMbDKSLg26lHepQgghhBBCCGFRpoDI09OTYcOGVXQtQghR\n7X16+FOMihGAiR0nWlYmuxXOts680f0NJm+fDMCM/TP4/b7f0Wq05VqrEEIIIYQQQlxTpoDI3t6e\nZ555hlatWllW4Zk8eXKFFiaEENXN/sv72RmzE4CgOkGEBIXc9rkG+w+mn28/dsbsJCI9gh9O/8Cz\n7Z4tr1KFEEIIIYQQopAyBUQDBw6s6DqEEKJaM5qMzDk4x/J4SpcpaNSa2z6fSqXire5vceDyAXKM\nOSw6sYihjYfi5+pXHuUKIYQQQgghRCFlCohCQm7/LrgQQtQGa8PX8m/qvwD09ulNb5/ed3xOH2cf\nnu/wPJ8d/oxcYy4zQ2eyYPACy0hOIYQQQgghhCgvZVrmXgghRMl0eh1fHP0CALVKzZTOU8rt3E+0\neoKmdZsCsDduL39f/Lvczi2EEEIIIYQQ10hAJIQQd2jJ6SUkZScBMLrpaILqBpXbubVqLe/0eMfy\nePbB2VzNu1pu5xdCCCGEEEIIkIBICCHuSKIukSWnlwDgaOPIix1eLPdrdPDqwAPNHgAgOTuZ+Ufm\nl/s1hBBCCCGEELWbBERCCHEHvjj6BdmGbACeafsMng6eFXKdVzq9gru9OwAr/l3ByaSTFXIdIYQQ\nQgghRO0kAZEQQtymc1fOsebCGgAaODXgyVZPVti13OzceK3rawAoKLy//30MJkOFXU8IIYQQQghR\nu0hAJIQQt0FRFOYcnIOCAsBLHV/C3sa+Qq85PGA4Pbx7AOZwatnZZRV6PSGEEEIIIUTtIQGREELc\nhp0xOwmNDwWgtUdrhgcOr/BrqlQqpvWYhq3aFoCvjn3F5czLFX5dIYQQQgghRM0nAZEQQtwivUnP\np4c/tTye0mUKalXlvJ02cm3EuHbjAMg2ZDPrwKxKua4QQgghhBCiZpOASAghbtEf5/8gMj0SgGC/\nYLo06FKp13+mzTM0dm0MwLbobWyN2lqp1xdCCCGEEELUPBIQCSHELcjIy+DrY18DYKOy4dXOr1Z6\nDbYaW6b3mG55POvALHR6XaXXIYQQQgghhKg5JCASQohb8O3Jb0nNTQXg4RYP09itsVXq6ObdjfsC\n7wMgPiuer459ZZU6hBBCCCGEEDWDBERCCFFGsZmxLD2zFAAXWxeea/+cVev5vy7/h6utKwDLzi7j\n3JVzVq1HCCGEEEIIUX1JQCSEEGU07/A89CY9ABPaTcDNzs2q9Xg4eDC582QAjIqR9/e9j9FktGpN\nQgghhBBCiOpJAiIhhCiDE0kn2HBxAwC+zr480uIRK1dkFtI0hI5eHQE4mXyS387/ZuWKhBBCCCGE\nENWRBERCCHETiqLwycFPLI9f7fwqthpbK1Z0nVql5p0e72CjsgFg3pF5JOmSrFyVEEIIIYQQorqR\ngEgIIW5i06VNHEs6BkBHr44MaTTEyhUVFlQ3iP+0/g8AmfpMZh+cbeWKhBBCCCGEENWNBERCCFGK\nPGMecw/PtTye0mUKKpXKihUVb0L7Cfg4+wDw98W/2RO7x8oVCSGE9emNevbE7mF9xHr+vfKvtcsR\noloxmAwsO7uMkDUhdPlfF+754x6+OfYNOr3O2qUJISqIjbULEEKIquzncz8TmxkLwNCAobSr187K\nFRXPwcaBt7u/zQtbXgBg5v6ZrBq5CnsbeytXJoQQ1rHx4kY+DP2QlJwUy7ZOXp2Y1XcWDZ0bWrEy\nIao+o8nIlB1T2BK1xbItNjOWr49/zY6YHXx/9/c4ah2tWKEQoiLICCIhhChBWk4aC08sBMBWbcsr\nnV6xckWl6+vbl7sa3QVATGYMi04ssnJFQghhHfvi9vHaztcKhUMARxKPMG7jOBkBIcRNbLy0sVA4\nVNDplNP8eObHSq5ICFEZJCASQogSLDixgIy8DAAeb/V4tbjjPLXbVJy1zgD8cPoHwtPCrVyREEJU\nHqPJSEZeBl8c/QKTYir2mOiMaP6K+KuSKxOielkTvqbU/WsvrK2kSoSo3q7mXWXZ2WVM3TmVd/e+\ny86YnSX+fqoKZIqZEEIU42L6RX499ysAde3qMq7tOCtXVDZejl5M6jiJWQdmYTAZeH/f+/xwzw+o\nVXI/QIia7GreVTZEbCA6I5p6jvUYFjCMeo71rF1WmemNejL1mWTqM8nSZ5GZl/+n/vqf17Zd+ym4\nLyvP/KfOULaRQXti9/BQ84cq+FUJUX2lZKeUvj+n9P1CCDiVfIoXNr9Aam6qZdsfYX/Qw7sH8wbO\nq5LTNCUgEkKIYsw9PBeDYgDgxQ4v4mLrYuWKym5M8zGsDV/L6ZTTHEk8wpoLawhpGmLtsoQQFWRb\n1Dbe3P0mWfosy7bPDn/G611f59GWj1bYdRVFIduQXSS0KS3kuRbkFNqel0meKa/C6iyOiap791aI\nqsDPxY9zV86VuN9Z64yiKFVy4Q4hqoJsQzaTtk4qFA5ds//yfuYensu0HtOsUFnpJCASQogbHIw/\nyLbobQAEugVyf7P7rVzRrdGoNbzT8x0eWfcIJsXEp4c/pb9ff9zt3a1dmhCinEWkR/B/O/4PvUlf\naLtRMTLrwCz8Xf3p49On8D6TEZ1BZwlnigtsiozeKSHcseYweRuVDc62zjhpnXDW5v+Z/zj0cihX\ncq6U+Nz29dpXYqVCVD/3NL6HTZc2lbg/KTuJl7a9xPu93qeufd1KrEyI6mHjxY0kZyeXuH/NhTW8\n3OnlKncTWgIiIYQowKSY+OTgJ5bH/9fl/7BRV7+3ylYerXi0xaP87+z/SM9N59NDn/JBnw+sXZYQ\nopwtP7u8SDhU0Bs738Df1f+2pmFVFAcbh8Khzg3hTqHttkWPu3asrdq2xNEL26O3M2nrpBJr+Cv8\nL0YFjcLTwbOiXqYQ1ZbeqGf5ueUl7lehQkFhe/R2Hlj7AB/2/ZDu3t0rsUIhqr7SRuAB5BhziLoa\nRWvP1pVUUdlUyLceo9HItGnTiIyMRKPRMGvWLPz9/S37//rrL3788Uc0Gg3NmjXj3XffRa2W/hhC\nCOtbF7GOs1fOAtDduzt9ffpauaLbN7HjRDZd2kSCLoG14WsZFTSKrg26WrssIcRtupJzhYi0CCLS\nI4hMjyQiPYID8QdKfU56Xjonk0/e8bVVqIoNbBy1joUCnpuFPk5ap0oJ3Qf4DeC9Xu8x++DsQlPv\ntGotepOe8PRw/rPhPyy+a3G1WIBAiMqiKAoz9s/gcMJhwNzbsLV7a+J18Xg6eDIyaCT1Hevzxq43\niM2MJTE7kfEbxzO2zVhe7PgiWrXWyq9AiKrB1db1psc4aZ0qoZJbo1IURSnvk27evJktW7Ywa9Ys\nQkNDWbJkCd988w0AOTk53Hvvvfz55584ODgwefJkhg8fzqBBgwqd4/Dhw3Tu3Lm8SxNCiBJlG7K5\nb9V9JOgSUKHit/t+o7l7c2uXdUe2XNrCK9tfAaCxa2P+GPEHthpbK1clhCiJSTERnxVPRHpEkTAo\nLTftts5Zx65OiaFNWUbvOGudsbexr5bN7nV6HTtidpCem06TOk0IcA1gwuYJnE89D0B9x/osvmsx\nAW4BVq5UiKrhx9M/MufQHABcbF1YPmw5jd0aFzkuMy+TmaEzWRexzrKtjUcbZvebjZ+rX2WVK0SV\nFZ4azqi1o0rc39K9Jb/e+6vV+niVlLdUyC2cwYMHM2DAAADi4uLw9Lw+fNfW1pZffvkFBwcHAAwG\nA3Z2dhVRhhBC3JKlZ5aSoEsAYGTQyGofDgEE+wczwHcA22O2c/HqRb4/9T3PtX/O2mUJUevpTXqi\nr0abg6BrP2kRXLx6kWxDdpnOoVapcbV1LTU4ur/p/bzb691yqrr6cdQ6MjRgaKFt39/9PS9seYET\nSSdI0CXw1N9PsXDIQlq4t7BSlUJUDdujt/PpoU8B0Kg0zB0wt9hwCMDZ1pmP+n5E74a9mbl/JjqD\njlMpp3jgzweY1mMa9zW5rxIrF6Lq2R6zvcR9WrWW17q+ViWbvFfICKJrpk6dyqZNm5g/fz59+vQp\nsn/p0qXs2LGDxYsXF/mXc/jwYRwdq96yb0KImiktL41JJyaRa8rFTm3HvHbzcLetGU2dk3KTmHxy\nMrmmXLQqLXPazsHb3tvaZQlRK+QYc4jLiSMmO4bY7Fhic2KJzY4lPjceo2Is0zm0Ki3e9t74OPjg\nY++Dr4MvPg4+eNt7YzAZePP0m1zOvVzkec4aZ2a1nkV9+/rl/bKqvRxjDrPDZnPq6ikAHDWOvNns\nTZq7VP8bA0Lcjku6S0w/M50cUw4A4xuPZ4jXkDI9Nz4nnvnh87mQdcGyrY9HH8Y1HoejRr7Pidpn\nZ/JOvoz4Esifom3jTIYhA4BWLq142PdhWrhY96aETqcrdgRRhQZEAElJSTz00EOsW7fOEviYTCY+\n+eQTIiMj+eyzzyyjiQqSKWZCiMr07t53+SPsDwBeaP8Cz3d43soVla8lp5bw6WHzXcEe3j1YNGRR\nlbxrIUR1lZqTWmgk0LVpYZezigY3JXHWOhPoFkiAWwCBdQIJdDP/+Dj7oFFrSnxeoi6RD/Z/wPaY\n7ZZVxTrX78y07tMIqht0x6+tpso15jJlxxS2R28HzM2zPx/4Ob0a9rJuYUJUsuTsZB5d96jl/eqx\nlo/xRrc3bukcepOer499zXcnv0PB/PXSx9mHj/t9LKsGilplT+weJm6ZiEExADCj9wxGNBlBoi4R\ne409dezrWLlCs5LylgoJiFavXk1CQgITJkwgMzOTESNGsGHDBstUsmnTpmFra8u0adNKbE4tAZEQ\norKEpYbxwJ8PYFJMeDl48WfInzhqa9YdL71Jz8N/PWzpu/FR348YHjjcylUJUb0oinK9P9ANYVBq\nbmqZz+Pp4Hk9CHILtIRB9Rzq3VFwm6RLIi4rDg97D3xdfG/7PLWJ3qRn+p7plj4qWrWWT/p9wqBG\ng27yTCFqhlxjLs/88wzHk44D0NunN18Gf3nbzeRDL4fy1q63SMxOBMxT1V7s8CJj24wtNegWoiY4\nnXyap/952jJV/KWOLzG+3XgrV1W8Sg2IdDodb775JsnJyRgMBsaPH092djY6nY42bdpw//3306VL\nF8uHoCeffJIhQwoPYZSASAhRWZ7b9Bx74vYA8H6v9wlpGmLliirG8aTjPLH+CRQU3O3dWTtqLW52\nbtYuS4gqR2/SE50RTWRaZKEwKDI9ssz9gVSo8HXxtYwCCnALsIwMKsvKJqLymBQTH+z/gBXnVwDm\nL7Tv936fEU1GWLkyISqWoii8uftNS0DaxK0JS4ctxcXW5Y7Om5qTyjt737GMzgPo2qArH/b5kAZO\nDe7o3EJUVdFXo3l8w+NcybkCwJjmY3i7+9tVdsR+pQZE5UECIiFEZdgdu5vnN5unkzWv25xf7/21\nRt/hmrFvhuVL0IPNHuSdnu9YuSIhbl1EegSnkk9hp7GjV8Net/1lJtuQbZkKVnBaWFRGFAaToUzn\n0Kq1NHZrbAmCroVBjd0aY6eRRTiqC0VR+PzI53x/6nvLtre6v8UjLR6xYlVCVKzFJxYz/+h8wLza\n4fLhy/FzKZ8VyBRFYcW/K/jk0CfkGnMBcLNz471e7zHIX0boiZolJTuFJzY8QXRGNACD/Qczp/+c\nKv2dQgIiUS4UReHMlTOk56YT6BYodwFEtWYwGXjwzwe5kGZuqrj4rsX08O5h5aoq1tW8q4xYNYKU\nnBQAlg5dSgevDlauSoiySc9N563db7EzZqdlm73GnufaP8fYNmNLvEuXnpteaNn48PRwItMiicuK\nK/O1S+oP1NC54W1PxRBVz7cnv2XekXmWxy91fIlxbcdV2TvAQtyuTZc2MXn7ZABs1DZ8e9e3dK5f\n/t+9wlLDeH3n65bPWmC+QfVa19dwsCnah1aI6kan1zH2n7GcTjkNQCevTiwcshB7G3srV1Y6CYjE\nHdsXt49ZB2YRmR4JmIfPD/QbyH97/Rd3+5qx2tOd0Bv1mDDJHeNq5Lfzv/H+vvcB6O/bny8HfWnl\niirH+oj1TN01FYCmdZvy672/olVrrVyVEKUzKSae+vspjiYeLXb/m93eJNg/2DIV7FoYFJEeYRnu\nXRYV1R9IVB+/nPuFD0I/sDx+us3TvNrpVfnvL2qM0ymneWrDU+QYzSuWzeg9g1FBoyrsejmGHOYe\nnsvP5362bGvi1oSP+31Mc3dZOVBUX3qTnklbJ7En1tyqoolbE34c+mO1aOEgAZG4I8cSjzH2n7Ho\nTfoi+5rVbcby4ctrbTByNPEoC44vYF/cPhQU2nq25Zm2z8jw2SouS5/FsJXDuJJzBY1Kw8qRKwl0\nC7R2WZVCURQmbJrAvsv7AJjceTJPt3naylUJUbp9cft4dtOzJe5XobKsnHMzKlT4OPsUGgl0rUdQ\ndfhQJyren+F/Mn3PdIyKEYCHmj3E2z3eRq0qfnEVIaqLRF0ij/z1iKWJ9NNtnmZy58mVcu3t0duZ\nvmc6ablpANiqbZncZTKPtnhUAlhR7SiKwrQ901gbvhYAL0cvlg1bVm1m2JSUt8iYaFEm3xz/pthw\nCOB86nl+Ov0TQxoNQaPWoFVr0ag02Kht0Kg12KhssFGbf2raB6vdsbuZuGWi5QMkwMnkk7yy7RXe\n7v42D7d42IrVidJ8d/I7y6iCB5o9UGvCIQCVSsW0HtMIWRNCnimPb45/w92N76ahc0NrlyZEibZF\nbyt1f3HhkFatpZFro0IjgQLdAmnk2qjKD/0W1nVfk/tw1Dry2o7X0Jv0rDi/gkx9JjP7zJQRl6La\nyjZkM2nrJEs4NMBvAC93fLnSrj/AbwB/jPiDt3a/RejlUPJMeXx04CP2xu1lRu8ZMiNBVCtfHP3C\nEg65aF1YMHhBtQmHSiMjiMRN5Rpz6fK/LuVyLhUqS1hko8oPkNQ2lkDpxu3XwqVrQVNJ2y3PLXAu\njSo/rLrxGgWfW/BxgVCrtJDr2nYVKh7f8DjxWfHFvlZ7jT2bH9wsd6OroPiseO5ddS+5xlyctc6s\nG72uVn4oWXh8IV8eM0+r6+/bny+Cv5A7eKJKicuMY1v0NrZGbeVg/MGbjhDq79ufjl4dLYGQj7OP\n9AcSd2Rf3D5e3vayZfW6AX4DmNN/Tq0dNS2qL5NiYsqOKWy6tAkwL8zx09CfcNQ6WqWWJaeX8MWR\nLzAo5gUBPB08+aDPB/Rq2KvS6xHiVhWcimyrtmXhkIV0aVA+35cri4wgErclISuB38//Xm7nU1DQ\nm/QljkaqSXKMOWyN2lpjl0yvzuYfmW9ZUWNc23G1MhwC87DydZHriEyPZEfMDrZEbWFwo8HWLkvU\nYoqiEJYWxtaorWyN2srZK2fL/FxPB08+G/iZjO4Q5apnw54sGrKIFza/QIY+g+3R23lx84vMD55v\nlS/WQtyur499bQmHPOw9+CL4C6v9HVar1IxtM5ZuDboxdedUojKiSM5OZsKmCTzV+ile6vgSWo28\nl4uqafOlzXwY+iFgHvzwUb+Pql04VBoJiEQReqOe7THbWRm2kr1xezEppps+p0v9LrT0aInRZMRg\nMmBUjOhNeoxK/uP87QbFYNl/bXuh4/L/vPZTcLvepC/zssNVxbU51qLqOJ18mj8j/gSgoVNDHm/1\nuJUrsh5bjS3Te0xn7D9jAZh1YBY9G/bESetk5cpEbWI0GTmedJwtUVvYGrWVmMyYYo9rX689ibpE\nLmddLnb/uLbjJBwSFaKDVwe+v+d7JmyawJWcK4TGhzJ+43i+Hvy1jBIW1cK6iHUsPLEQMI92mBc8\nD29nbytXBW0827DivhV8GPqhZarOktNLOBB/gNn9ZtPItZGVKxSisMMJh5m6c6plRPMb3d5gSKMh\nVq6qfElAJCwupF5g5YWV/BX+F6m5qYX22ahsLENAb1THrg5zB8ylrn3dyigTo8l4PUi6FjjdGECZ\njBiUYgKo/O03BlDXnlsk4CpwnhvPn5qbarkTU5La1NemOlAUhU8OfWJ5/ErnV2r9NIGuDboysslI\n1oSvIVGXyJdHv2Rqt6nWLkvUcLnGXPbH7Wdr9Fa2R28vdpUxG7UN3b27E+wXzEC/gdRzrEdqTipv\n7nqTPXF7LMfZa+wZ3248j7Z4tDJfgqhlWri3YMk9Sxi/cTwJugROJJ/g6X+eZtGQRXg6eFq7PCFK\ndDzpOO/secfy+P3e79O+XnsrVlSYk9aJD/p8QO+GvZmxfwaZ+kzOpJzhwT8f5K3ubzGyyUiZ/i6q\nhAupF5i0dRJ5pjwAnmnzDI+2rHmfPaQHUS2XmZfJ3xf/ZlXYKk4knyiyv6V7S0KahjAsYBh/hP3B\n/CPzCzVkru9Yn3kD59Has3Vlll1ljN84nv2X95e4f/7A+Qz0H1iJFYnSbInawivbXgGgnWc7/jfs\nf/KhA0jNSWXE6hGk5aahVqn5efjPtPJoZe2yRA2TnpvOrthdbI3ayu7Y3ZaeLgU5aZ3o69OXQf6D\n6OPTB2db52LPdSH1AieTT2KnsaO3T28ZxSEqTVxmHOM3jicqIwoAfxd/Ft+1WJr8iyrpcuZlHln3\nCCk5KQBMaDeBiR0nWrmqksVkxDB111ROJF3/TjK08VCm9ZyGq62rFSsTtV18VjyPr3+cBF0CACOa\njGBm75nV+nuELHMvLBRF4UjiEVaGrWTTpU1FPqS72LowPGA4o5uOpqVHy0L7krOT2XhxI+m56QTV\nDWKA74BaPUc4ISuBcRvHcfHqxWL326ht+KTfJ9LXpQrQG/WErA3h0tVLACwdupQOXh2sXFXVsSps\nFe/sNd9hbO3RmmXDlqFRa6xclaju4rPiLU2mD8UfKnYkqqeDJwP9BhLsH0y3Bt2w1dhaoVIhyi45\nO5lnNz1LWGoYAA2cGrBoyCIC3AKsXJkQ1+n0Op7c8CT/pv4LwJBGQ5jTf06VX1FYb9Kz4PgCFp9Y\nbJnG09CpIR/3+1g+twmrSM9N56m/n+JC2gUAejfszReDvqj209olIBIk6hJZG76W1RdWW74kF9TD\nuwchQSEMajSo1k+7uRU6vY51kevYGbMTg8lAZ6/OxGXF8dv53wDQqDR80OcDhgcOt3Kltduys8v4\n6MBHgPlD0twBc61cUdWiKApP//M0hxMOA+Y51Y+1fMzKVYnqRlEUItIjLE2mT6WcKva4Rq6NCPYP\nJtgvmHb12lX5LyxC3Cg9N50XNr9gGX3tbu/OwiELaeHewsqVCWFux/DK9lfYHr0dMN/4+eGeH3Cw\ncbBuYbfgYPxB3tz1pmXEhkalYUL7CTzb9lm5gSUqTa4xlwmbJlg+H7fyaMUPd/9QIxYpkIColtKb\n9OyM2cmqsFXsjt1daHoYmO96jQoaxaigUfg4+1ipyppHURS+OPoFi08uBswd7t/r9Z6saGYl6bnp\nDF81nPTcdGzUNqwduRY/Vz9rl1XlRKRFcP+f92MwGXDSOrFm5BrqO9W3dlmiijMpJk4knTCHQtFb\ni70BAdDWs60lFApwC6jWw7KFAMjSZ/Hy1pcJjQ8FwEXrwteDv5ZRDsLq5h6eyw+nfgDAy8GLn+/9\nGS9HLytXdevSc9N5d++7bI7abNnWyasTH/X9qEo02RY1m9Fk5LWdr1l6zvq5+PHT0J9qTN85CYhq\nmYj0CFaFrWJt+NoizT+1ai3B/sGMDhpNd+/uksJXoIXHF/LlsS8tj9/q/haPtHjEihXVTp8c/ISf\nzvwEwH9a/YcpXadYuaKqa/6R+ZZgU0ZaiZLkGfMIvRzK1uitbIvaZulvUZCNyoauDboS7B/MAL8B\nNHBqYIVKhahYucZcpmyfwvaY7QA42Dgwb+A8ejbsad3CRK21+sJqpu+ZDpib+C8ZuoTWHtW3V6ii\nKPwe9juzD8wmx5gDmNthvNfrvRq3epSoOhRFYdaBWfx87mfAPEp06dCl+Lv6W7my8iMBUS2Qpc/i\nn4v/sCpsFceSjhXZ36xuM0Y3Hc3wgOHUsa9jhQprpx9P/8icQ3Msj6d0mcJ/Wv/HihXVLtFXoxmx\nZgQGkwHLyYyfAAAgAElEQVQ3OzfWhayThralyDHkMHrtaKIzogH4atBX9PPtZ+WqRFWQkZfB7tjd\nbI3ayq7YXWTps4oc42DjQB+fPgzyH0Rf377SVFTUCnqTnmm7p7E+cj1gvhE3p/8cgv2DrVyZqG0O\nJxxm3MZxGEzmfm9zB8ytMSFKeFo4r+98nfOp5y3b7m96P693fb1GTPcRVcu3J79l3pF5gPmzzfd3\nf08bzzZWrqp8SUBUQymKwrGkY6wKW8XfF/8u2nBa68KwwGGENA2hlXsrGdJvJT+f+5kPQz+0PJ7Y\nYSIT2k+wYkW1x+Ttky1DQ6WvTtnsjd3LhM3mv58+zj6sGrmqWvUtEOUnSZdkaTIdGh9q+dJRkLu9\nu6XJdHfv7tLDTtRKJsXEzP0zC/UfnNF7Bvc1uc/KlYnaIjojmkfXPUpabhoAkzpO4tl2z1q5qvKV\na8zl88Of87+z/7NsC3ALYHa/2dL/S5SbteFreXv324D5vfyL4C/o69vXylWVPwmIapjk7GT+DP+T\nVRdWEZkeWWR/twbdCGkawmD/wdjb2FuhQnGjVWGr+O/e/1pWZBjfdjyTOk6S0K4CHU08ypMbngTM\nTXFXjVhVq1fduxWv73idDRc3ADC2zVhe7fyqlSsSlSUyPdLST6jgUsMF+Tr7Msh/EMH+wbSv116m\nKguB+abdZ0c+s/R+AXi7+9s83OJhK1YlaoOMvAyeWP8E4enhAAwPHM6sPrNq7GfMnTE7mb5nuqWN\nhlat5dXOr/J4y8dr7GsWlWN37G4mbZlkWXV1Zu+ZjAwaaeWqKoYERDWAwWRgV8wuVl1Yxc6YnUUa\nTtd3rM/IoJGMChqFn4s04K2K1kWs4+3db1v+2z3R6gle6/Ka/DKrACbFxOPrH+dk8kkAPh/4OYP8\nB1m5quojOTuZEatGkKHPwEZlw4r7VtC0blNrlyUqgEkxcTr5NFujzSuPRaRHFHtcS/eWBPsHM8h/\nEEF1guR9S4hiKIrCtye/Zf7R+ZZtL3d6mXFtx1mxKlGTGUwGJm6dyJ7YPQC0r9ee7+7+rsaP5kzO\nTubt3W+zN26vZVsfnz7M6D2jxjQRFpXrdPJpnv7nacuMnJr+3i0BUTV2Mf0iqy6YG04nZycX2mej\ntmGg30BGNx1NT++eche3Gth0aROv73zdMlVjTPMxvNX9LVnmuZytj1jP1F1TAehSvwvf3/29fKG9\nRb+e+5WZoTMB6FCvAz8O/VH+ntYQeqOegwkH2RplbjKdmJ1Y5BiNSkOX+l0Y6D+QYL9gWTFGiFuw\n/OxyZh2YZXk8ts1YXun0ivweEuXu4wMfW6ZceTt5s3z48loTkJgUE0vPLOXzI59bPld72HvwQZ8P\n6O3T28rVieok+mo0j2943DIq7eHmD/NW97dq9Hu2BETVjE6vY+OljawKW8WRxCNF9gfVCTI3nA4c\njru9uxUqFHdiR/QOXt3+KnqTHoCRTUbyXq/3JOArJ7nGXEasGkFcVhwAv9z7S7VewcNaTIqJJ9Y/\nwYlk8zSj//b8Lw80e8DKVYnblaXPut5kOmYXGfqMIsfYa+zp7dObYP9g+vv2l4buQtyBteFrmb5n\nOibFBMgNIVH+Vvy7ghn7ZwDgaOPIT0N/orl7cytXVflOp5xm6s6pXLp6ybLtyVZP8nKnl7HV2Fqx\nMlEdpGSn8MSGJywLtAxpNIRP+n1S47+XSUBUDSiKwonkE6wKW8WGyA3oDLpC+521zgwNGEpIUAht\nPNvU6ESzNtgbt5eXt75sWbJzaOOhfND3A7Rq6ZFzp747+R2fH/kcgPsC7+PDvh/e5BmiJP9e+Zcx\nf43BqBhxtXVl7ai1eDh4WLssUUbJ2cnsiN7B1uit7I/bT54pr8gxdezqMMBvAMF+wfRo2EMakgtR\njrZc2sJrO1+z3BAaHjicGb1nyO96ccdCL4cyYdMEjIoRFSrmB89ngN8Aa5dlNTq9jo8OfMSqC6ss\n21q6t+Tjfh8T4BZgxcpEVabT6xj7z1hOp5wGoJNXJxbdtajGT9EECYiqtJTsFP6K+ItVYasszeUK\n6lK/CyFNQxjSaIh8cK9hDsUf4sUtL1rCwEH+g5jdb7bc7bgDV3KuMHzlcDL1mdhp7Pgr5C8aODWw\ndlnV2pyDc/jxzI+ABG7VQdTVKEuT6WOJxyyN8Qtq6NSQYP9ggv2D6ejVERu1jRUqFaJ22Bu3l1e2\nvWLpazHQbyCf9P+kVnwBERXjYvpFHl3/KBl55pGgU7pM4T+t/2PlqqqGvy/+zft737eMknWwceCN\nbm8QEhQiN9dFIXqTnklbJrEnzty/K6hOEEvuWVJrRk9LQFTFGEwG9sbtZWXYSnZE77B0Sr+mnkM9\nRgaNJCQoBH9XfytVKSrD8aTjPL/pecsvsr4+fZk7YK6sPnebZu6fya///gqYV4p7qdNLVq6o+tPp\ndYxcM5L4rHgAvr3rW7p7d7dyVbXD6eTT7IzZiUEx0KV+F3p49yjyAVdRFM5cOWMOhaK2ciHtQrHn\nal63uSUUal63uXxQFqISHU08youbX7T8ru/u3Z35A+fjqHW0cmWiuknPTeex9Y9ZplOFBIXwXq/3\n5D29gLjMON7Y9QZHE49att3V6C7e6flOrfnyL0qnKArT9kxjbfhaALwcvVg2bFmtuqksAVEVEXU1\nitUXVrPmwpoiTUFtVDYM8BtASNMQejXsJXd0a5EzKWeYsGkCablpAHRv0J35wfLB8VZFpEUweu1o\njIoRD3sP1o1eh5PWydpl1Qjborbx0jZz2NbYtTF/jPhDRrpVoGxDNlN3TmVb9LZC29t6tmV+8Hzc\n7Nw4knDEMlLoWnhXkFqlpqNXRwb5D2Kg30B8XXwrq3whRDHOppzluc3PWZqgtqvXjq8HfS1fWEWZ\n6U16nt/0PKHxoQB0rt+ZxUMWo9XIlMUbGUwGFp9YzIITCyx9wLydvPmo70d0qt/JytUJa5t3ZB7f\nnvwWABdbF36858dat1qvBERWlG3IZvOlzawMW8mhhENF9ge6BTK66WjuDbxXenvUYmGpYYzfOJ6U\nnBTAPAf2q0Ff4WzrbOXKqo8Xt7zIzpidgDRUrggvb32ZrdFbAXih/Qs83+F5K1dUc03fM53VF1YX\nu6+ufV2MJiNX864W2WensaNnw54E+wXT36+/LGIgRBUTkR7BsxufJUGXAECzus1YOGRhrVl1Stw+\nRVGYsX8Gv53/DQBfZ1+WD19OXfu6Vq6sajuScIQ3dr3B5azLgPnmyYR2E3i23bNyM76WKrjKpK3a\nloVDFtKlQRcrV1X5JCCqZIqicCr5FKsumBtOZ+ozC+13tHE0N5xuGkI7z3YyLFQAEJkeybiN40jU\nmUeXtfVsyzeDv5G7i2Ww//J+xm8cD5jnEP9+3+81fvWByhafFc/I1SPRGXRo1VpWjlhJY7fG1i6r\nxknOTmbwb4MxKsYyHe9q60p/3/4E+wfTq2EvGXkoRBUXlxnHuI3jLCvmNHZtzKIhi/B29rZyZaIq\n+//27ju+pvuP4/jrZicSQiRGJFbsxh5VSovYarU2pUap2vwQlNZWo6gZWhXUaNXeK0bVSGrvHUFk\nkb3uPb8/7s/9CQlBck/ifp6PRx+P3nvOvffty733ez/nO1ZfXs20k9MA/cY1q5uupphjMZVTZQ9P\nE57yw/Ef2HN3j+G+Si6VmPbxNAraF1QxmTC2vXf3MuzQMBQUNGiY9cksvAp7qR1LFVIgMpKI+Ai2\n3drGxusbU10HorJLZVqXaE3Dwg2lEy9SFRgVSO89vQmKDgKgdJ7SLPFaIiMBXkGr09J+W3uuRlwF\nYHGDxdRyraVyqvfTyosr+fH0j4B+KqRPQx8pcGewQ4GHGHBgwCvPcbByoEWxFtRzr0flfJVlRyQh\nspmQ2BD67O1j6Cvmz5EfHy8fKbqLVB25f4RvD3yLTtFhpjFjYf2F0s95Q4qi8NeNv5h2cpphwXgH\nSwe+++g7GhdprHI6YQz+wf702dPHsKPr6Oqj6VSmk8qp1JNWvcVMhSzvHa1Oy9Ggoww9NJR6G+ox\n49SMFMWhvLZ5+eqDr9jaaiu/NfmNVh6tpDgk0uTm4MaKxitwd9AvTn4l/Apf7fqKkNgQlZNlXVtu\nbjEUh2oVrCWdpkzUqUwnSucpDcCJRyfYdmubyoneLzpFx9mQs68979uK3zK6xmhqFKghxSEhsiFn\nO2dWNF6BZ15PQD9C88tdX3I1/KrKyURWcyPiBiMOjzCsozOy2kjp57wFjUZDmxJtWNd8HWXylAEg\nKimKEX4j+O7Yd8QmxaqcUGSmGxE3GHBggKE41PODniZdHHoVGUGUBp2i4/Sj0wRGBeJs50zNAjVf\nWgAuMCrQsOD0s7nkz5hrzKlTqA5tSrShtmttmeMq3lhIbAi99vTi1tNbABTOWZhlDZeZ1Or66RGb\nFEvzv5oTEheCmcaMP1r8YXKLzBnb+ZDzdN7RGQWFPDZ52NJqi0yDfEc6Rce+u/tYdHZRmruQPWOm\nMWNnm50yLF6I90BMUgwDDgzg1KNTgH504KIGi6jgXEHlZCIrCI8Pp9P2ToZR5e1LtWfsh2NVTpX9\nJWoTmRcwj98u/Wa4r0jOIkyvM52yTmVVTCYyw6OYR3TZ0cXwe/2z4p8xqdYkkx8BL1PM3sClsEuM\nPDySO5F3DPc52zoz4aMJVM9fnX339rHp+ibDDgLPK5KzCG1KtKFF8Ray4KB4Z2FxYXy992vD6BhX\ne1eWNVwmuxE9Z+GZhSw6uwiAtiXaMuGjCeoGMhGT/5nM2qtrAWn3d6EoCgcCD7DwzEKuRVxL12M6\nlu6Idw3vTE4mhDCW+OR4hvsNx+++HwC2FrbMqzePDwt8qHIyoaZEbSK99/Qm4HEAAB8W+JCFDRbK\nqNEMdCzoGGOOjjFsEGNhZsHgyoPpWrYrZhqZaPM+eJrwlO67uhsuvtVyrcX8evPlfYQUiNLtcexj\n2mxuw9PEpy8d06DBzsKOmOSYFPfbWtjSuEhj2pRoQwXnCiZfjRQZ62nCU/ru7cuFsAsAuNi5sLzh\nclmnAP37tflfzYlLjsPOwo7tbbZLYdZIohKjaLmpJSFx+qmPK5uspJJLJZVTZR+KouB334+FZxZy\nOfxyimOfun3KNxW/4VzIORadXURoXCigX5S0S9ku9C3fVxZgF+I9k6RLYsyRMey8sxMASzNLZtad\nST33eionE2pQFIVxx8ax+eZmQH8BelXTVTJaNxOExoUy7tg4jgYdNdz3UcGPmFx7svQps7kEbQJf\n7/0a/2B/AMo5leOXRr/IUi//IwWidJoXMA+f8z7pOreic0Val2hNoyKNyGGZI5OTCVMWlRhF//39\n+ffxvwA42Tjh09DH5KdSPb8V+IBKA+hTvo/KiUzLrju7GOE3AtDvHLe+xXq5IvMaiqJwJOgIC88s\n5GLYxRTH6hSqwzcVv6GcUznDfUm6JK6GXyVZl0zJ3CWlUyPEe0yr0zLpxCT+uPYHoF+uYFLtSTQv\n1lzlZMLYfrnwC3P85wD6nSrXNFtD4ZyFVU71/tIpOlZfXs0c/zkk6ZIAyGOTh4m1JlKnUB2V04m3\nodVpGXF4BHvv7gX0a7z6NvHFydZJ5WT/d/jwYR4+fEj79u1VeX0pEKVTp+2dOB96Ps3jGjR0L9ed\nVh6tZGtJYVSxSbEMODCAk49OAuBo7chSr6WUcSqjcjJ1XAm/Qrut7VBQyGeXj62tt2JrYat2LJOi\nKAr99vXj2INjAAyuPJienj1VTpU1KYrC8QfHWXBmAedCz6U4Vsu1Fv0r9MfT2VOldEKIrEJRFOb4\nz+HXi78C+n7nmBpjaF9anR8QwvgO3DvA4IODUVCw0FiwxGsJ1QtUVzuWSbgSfoX/HP4Pt5/eNtzX\npUwXBlcZjLW5tYrJxJtQFIUpJ6YYlkLIY5OHVU1W4ZbTTeVkWYsUiNLpdQUiewt7jnc+bsREQvxf\nfHI8gw8N5liQ/ge5g5UDixssprxzeZWTGZeiKPTe09uwDtiU2lNoUbyFyqlMU2BUIK03tyZBm4CN\nuQ1/tfxL1sh6jqIonHh0goVnFhpGAD7zYYEP6V+xPxVdKqqUTgiRFSmKgs95H+b/O99w36DKg+jl\n2UvFVMIYroRfodvOboZt2MfXHM/nJT9XOZVpiU2K5cfTPxpG8gGUyl2KGXVmyOCAbGLZ+WXMDZgL\n6JeC+bXRr5TLW+41jzK+jRs3cuTIER48eED+/PkJDAzE09OT77//Hn9/f6ZPn46FhQU5c+Zk5syZ\n2NvbZ+jryzb36fS6BQE/cv3ISEmEeJmNhQ3zPp3Hp26fAvqpZ7339DbMrTUVh+8fNhSHyjqVpVmx\nZionMl1uDm58Xf5rAOK18Uw5MYUset3B6E49OkWP3T3ovad3iuJQ9fzVWdF4BT4NfaQ4JIR4iUaj\noU/5PoyqPspw39yAufzk/5N8vr7HQuNCGXBggKE41LVsVykOqcDO0o7xNccz+5PZOFg5AHA14irt\nt7Vnw7UN8h7M4jbf2GwoDlloLJj9yewsWRx63p07d5g8eTIbNmzg8OHDhISEsG/fPry8vFi1ahWf\nf/45kZGRRssjBaIXdCjdAUdrx1SPWZpZ8pXnV0ZOJERKVuZWzPpkFo2LNAYgNjmWfvv68c/Df1RO\nZhxJuiRm+c8y3B5edbjsNKGy7uW6UzxXcQCOBB0xzPc2VQHBAfTa3Yuvdn+Vonhb2aUyyxsuZ3mj\n5VTJp84unUKI7KNzmc5MqjXJ8B23/MJyJp+YjE7RqZxMZLT45HgGHRjEo5hHAHzs+jHDqgxTOZVp\n8yrsxcbPNhq+r+O18fxw/AeGHhrK04SnnA85z/ST0xl9ZDTLzi8zbCgh1HM06Cjj/x5vuD3hownU\ndq2tYqL0cXd3x97eHnNzc5ydnUlISKBv376Eh4fz5ZdfsmvXLiwsLIyWR35VvcDFzgWfhj4Uy5Vy\nCKGLrQvz6s1LsXioEGqxNLNk2sfT+Kz4ZwDEJcfRf19/Dt8/rHKyzPfntT8Nc8PrudWjWv5qKicS\nluaWjKs5znB7+snpRCdGq5hIHWcen6HPnj58uetLwwg3gArOFVjqtZQVjVfIOhJCiDfS0qMlM+vO\nxMJM/+Ng3dV1jD06lmRdssrJREZRFIXv/v7OsD6dh6MHM+rMkN0qs4D8OfKzvOFy+lfsj7lG//ex\n794+vP7wotOOTqy6vIptt7YxN2AuTf5swqHAQ+oGNmEXQi8w9NBQtIoW0E/LbenRUuVU6ZPaDuhb\nt26ldevW+Pr6UqJECdavX2+0PJlSINJqtYwePZoOHTrQuXNn7t2799I5cXFxdOjQgZs3b2ZGhHdS\nOk9pNrXcxIrGK/jhox9Y1GARuz7flS0qkMJ0mJuZM7HWRL4o+QUAibpEBh0cxP67+1VOlnmiEqNY\neGYhoB82OqTKEJUTiWeq5KtCa4/WADyOe5xi7Yz33YXQC/Tb14+uO7ty/OH/16jzzOvJ4gaL8W3i\nS82CNVPtAAghxOt4Ffbi53o/Y2NuA8DWW1sZdmgYidpElZOJjLDk3BJ23t4J6BfT/bn+z9hbZexa\nI+LtmZuZ07dCX1Y0XoGrvSuAYRrg8+K18Qz3G87D6IfGjmjy7kXeo//+/oa/lw6lOtDzg+y9aYqn\npyejRo2iS5cu/PPPP7RsabxiV6YsUr1v3z7279/P1KlTOXHiBCtWrGDRokWG4+fPn2f8+PEEBwez\ncuVKihcv/tJzqLVItRDZjaIozDg1g1WXVwH6bXGn1J5C02JNVU6W8eb4z+GXC78A+qH3z6/PINT3\nJP4Jn236jIiECDRo+L3Z71l+3ve7uBR2iYVnFuJ33y/F/WWdytK/Yn8+dv1YikJCiAwTEBxA//39\niU7Sj9D8sMCHzP10LnaWdionE29r953dDPcbDuhHhy9vtJxKLpVUTiXSEpkQSYM/GqRaIHqmt2dv\nBlYeaMRUpi0sLoyuO7sSGBUI6AvqP9b5UUbgpYNRF6lu0KABEydOBODBgwfkzZs3xfHExEQWLFhA\nsWKyErwQ70qj0fCfav8x7G6iVbSMOjKKv67/pXKyjBUUHYTvJV9Av3tb3/J9VU4kXuRo48iwqvo1\nExQUvj/+/Xs5DeJq+FUGHRhE+23tUxSHSucpzbxP57G22VrqFKojxSEhRIaqnK8yyxstJ7d1bgD+\nefgPffb2ITLReIuXioxzMfQiY4+ONdye8NEEKQ5lcWYas1cWh0C/E50wjtikWPrv728oDlV2qczU\nj6dKcegdZdpqRxYWFowcOZK9e/cyb968FMfSOzLo8uXLmRFNiPeSl40Xka6RrA9aj4J+PvvdoLs0\nytdI7WgZ4qcbP5GkSwKgVb5WPLz9kIfIMN6spoRSgnIO5bgYdZHL4ZeZ6zeXpvnfj9Fs92Lv8UfQ\nH/wTkXJBeHdbd9q5tqNq7qqYxZhx5Yp0DoUQmUODhnElxzHpyiTCk8I5G3KWTps7MbbUWHJZ5lI7\nnkin8MRwRl8cTbw2HoBWBVpRIrGE/PbJ4pJ1yZhrzA3r3KTm5MOTzDw4k0+dP8XOXEb3ZZZkXTLT\nr0/n4tOLALjZuvFtoW+5de2Wysmyv0yZYva8kJAQ2rVrx/bt27GzS/km6dq1KxMmTJApZkJkoBUX\nVry0y9eX5b5UMdG7Oxdyjs47OgNQyL4Qm1ttxsrcSuVUIi23nt6i7Za2JOuSsbOwY3OrzeTPkV/t\nWG/t1pNbLDq7iN13dqPw/6/M4rmK069iP7wKe8lOekIIowqKDqL3nt6GK+dFchbBp6FPtv6sNRWx\nSbF039Wdy+H6YlA9t3rM+XSOfI9kE8MODWPP3T2vPc/e0p62JdrSqUwnCtoXNEIy06EoCmOPjWXL\nzS0A5LPLx6qmq+Tz7w0ZdYrZpk2bWLJkCQC2trZoNBrMzWWolxDG0P2D7oyuPtpwe+bpmSw9t1TF\nRO9GURR+PPWj4faQKkOkOJTFFctVzLA4YGxyLNNPTlc50du58/QOo46MotXmVuy6s8tQHCqSswgz\n6szgz8/+pFGRRtKpF0IYnau9K781/g0PRw8A7kTeodvObtyNvKtyMvEqOkXHmKNjDMWh0nlKM/Xj\nqfI9ko18W+lbHKwcUj2W1zavYcfB6KRofrv0G003NmXYoWGcDTlrzJjvtXn/zjMUhxysHFjcYLEU\nhzJQpnwaNWzYkEuXLtG5c2d69uyJt7c3e/bsYd26dZnxckKIF3Qq04nvP/oeDfo1UOb/O595AfPI\n5AGDmWLv3b2cCTkDQCWXSngV9lI5kUiP3uV74+7gDui3hPUL9HvNI7KOe5H3GHN0DC03t2T7re2G\nwpC7gztTak9hU8tNNCnaROa4CyFU5WznzK+NfuUDpw8AeBjzkC93fsnV8KsqJxNp+fnfn9l3bx+g\nLybMrzdfFhnPZormKopvE1/9WoP/62c7WDnQo1wPdrbZye62u+nt2Ztc1vopn1pFy567e+iyowud\nd3Rm953d7+X6jMay5vIalp1fBoCVmRXz683HI7eHyqneL5k+xextyRQzId7dtlvbGHt0rGGudLey\n3RhedXi2WTw3UZtIy00tuR99H4DVTVdT3rm8yqlEeh1/cJw+e/sAUCBHATa13JSlO8L3o+6z9NxS\nttzckmJ9gUL2hehboS/NijUzXBkUQoisIiYphm/3f8vp4NOA/sfqogaLqOBcQeVk4nlbb27F+6g3\nANbm1vza6Fc8nT1VTiXexdOEp0QlRuFi5/LS6Pa45Di23tyK7yVf7kTeSXGsYI6CdCrTiTYl2qQ5\nGkm8bM+dPQz3G46CggYNsz+ZTYPCDdSOlW7xSVo2nwniwJXHaHUKNYo60a6qG7nsLFXJk1a9xXzC\nhAkTjB/n9R4+fEjBgjJfU4h3UTJ3SYo7Fmf/3f3o0HE25Czh8eHUdq2dLYpEqy6vYtedXQA0KdKE\nLmW7qJxIvAk3BzfuRt7l+pPrRCdFo9VpqVmwptqxXvIg+gGzTs9i/N/juRR+yTBiqGCOggyvNpwJ\nH02grFNZmQIghMiSrMytaFykMVcjrnI38i6J2kR23t5JeefyFHIopHY8AZx5fIYhh4agU3QATPt4\nGrVca6mcSrwrGwsbclrnTHVEsaWZJeXylqND6Q545vUkLD6MoOggAKKSovj7wd+svbqWsLgwiuQs\nQk7rnMaOn62cfnSawQcHGy7gedfwpqVHS5VTpd/jyHjaLPqb9afvczMkhluhMRy5Hsof/oF8XMIZ\nZwfrd3r+s2fPMmLECNq0aZPux6RVb5ERREKYAL9AP4YcGvL/XcA8WjGh5oQsPUXmSfwTmv7VlKjE\nKKzMrNjSeguu9q5qxxJvKDQulM82fUZUYhTmGnPWNV9HqTyl1I4FwKOYR/ic82HjjY0phnvnz5Gf\n3p69ae3RGktzda7qCCHEm0rSJeF9xNtwYcXKzIqZdWfyqfunKiczbQ+iH9Bxe0fC48MB+KbCN/Sr\n2E/lVEINV8Ov4nvJl+23t6fod5hpzKjvXp9uZbtRwblCtriIa0zXI67z5c4viUqKAqCXZy8GVR6k\ncqo30+2Xkxy+FpLqscJOdhwY9gnmZm/39+7j48OWLVuwtbVl/fr16X6cURepFkJkLXXd6vJz/Z+x\nMbcBYNONTYw+OtpQMMqKFp9bTFSi/ougS9kuUhzKpvLa5mVw5cGAfh7+D//8YLiCqpbHsY+ZcmIK\nTTc2Zf219YZOmoutC2NqjGF76+20K9VOikNCiGzF0sySaR9Po22JtgAk6hIZcmgI229tVzmZ6YpJ\niuHbA98aikONizSmb4W+KqcSaimVpxSTak9iT9s99CnfB0drR0C/ePneu3vpurMrnXd0ZtftXbJO\n0f88inlE3319DcWhz4p/xsBKA1VO9WZuh8akWRwCuBsW+8rjr+Pu7s78+fPf+vEvkilmQpgINwc3\nKrlUYu/dvSTpkrjx5AY3ntygvnv9LDeS6M7TO4w7Ng4dOnJb52bWJ7OwNn+3oZdCPWWcynD8wXGC\nY4aPDXwAACAASURBVIMJjg3G2daZcnnLGT1HaFwo8/+dj/cRb86GnDUUqvLa5mVg5YFM/ngyFV0q\nZrn3gxBCpJeZxoy6heoSmxTL2ZCzKCjsv7cfJ1snVT53TZlWp2WY3zACHgcA8IHTB8ytN1cuPghy\nWOagRoEadCrdiQL2BQiMCiQiIQLQX8Tae3cvm29uRqfTUcyxmMn2gZ8mPKXX7l6GtUhrudZiRp0Z\n2a6fdup2OFvPPXzlOWUL5KRqkTxv9fweHh5ER0eze/duvvjii3Q/Lq16i4wgEsKEVMtfjSVeS3Cw\n1C+It//efgYdHESCNkHlZCnN8Z9DsqK/cvJNxW9kAb9szkxjxrgPx2Gu0X+h/xTwE6FxoUZ7/bC4\nMGaemkmTP5uw6vIqEnWJAOSxycOIqiPY2WYnnct0NtkOmBDi/aLRaBhWdRj9K/YHQEFh4j8T+eXC\nLyonMy0/BfyE3339Dp757PIxr948bCxsVE4lshIbCxu+KPkFf7X8i0UNFlGzwP/XaXwU84hZ/rPw\n2uDFtJPTCIwKVDGp8SVoExh4YCA3n94EoJxTOWbXnY2lWfYrsObOYfXacxxVWqg6NVIgEsLEVHSp\nyLJGywzbbx4JOkL//f2JTYpVOZneqUenOBB4ANBvJfp5yc9VTiQyQqk8pehWthsAUYlR/Hjqx0x/\nzYj4COb4z6HJxib8duk34rXxAOS2zs2wKsPY2WYn3cp1kw67EOK9o9Fo6FuhLyOrjTTcN8d/DvMC\n5pFFlx99r2y8vpEVF1cAYGthy/x683G2c1Y3lMiyzDRm1HatzdKGS/nzsz/1ayD+rxASmxzL6sur\nabaxGYMPDsY/2P+9fw9rdVpGHR5lGH3n5uDGgvoLsvROuK9S2T03ro62aR63tjCjUbn8Rkz0ajLF\nTAgT5GznTG3X2uy7u4+45DiCooMICA7Aq7DXS9t0GpNO0TH00FDD6JJJtSZRzLGYanlExqrgXIEd\nt3YQlRTF9SfXqehSETcHtwx/nacJT1l6bikjD4/k5KOThnn8uaxz0bdCX6bXmU61AtVkmL8Q4r1X\n3rk8BXIUwO++HwoKAY8DCI8PJyI+gl8u/MKu27sIiwujaK6iqn7/v09OPTrFCL8R6NBPY55ZZybV\nC1RXOZXILpxsnfjU/VPalmyLnYUdt57eIi45DoDbT2+z6cYmDt8/jJ2FHUVyFTGMzn5fKIrC1JNT\n2XJrC6Af7f1ro1/Jb591CihvykyjoWheO7afe4guldreuGZl+LB43nd6jcjIyAybYia7mAlhwm49\nvUXv3b15HPcYAM+8nixqsMgwusjYtt7civdRbwBqFKiBj5eP7OTwnvEL9OPbA98C4O7gzsaWGzNs\naldkYiS+l3zxveRLTFKM4X4HKwe6l+tOp9KdsLeyz5DXEkKI7GTPnT2MPDIyzYVvXexcWOq1lOKO\nxY2c7P0SGBlIxx0deZrwFIBBlQfRy7OXyqlEdpagTWD7re2svLjSMN3qmXx2+ehUphNtS7RVre+e\n0ZadX8bcgLmAfvTdr41+fW/WTztxK4x5B65z7EYYAJ6uufjmk+I08SygSp606i1SIBLCxAVGBtJr\nTy8exDwAoHSe0izxWkIem7dbKO1txSXH0eKvFgTHBqNBw4YWG7LMdugiYw05OIR99/YB8HX5r/m2\n0rfv9HxRiVGsurwK34u+hl0uAOwt7elWthtdynaRdayEECbvaNBR+u/vn+ZOkkVyFmFzq82YaWQF\nircRmRhJlx1duP30NqDfbWlSrUlyoUtkCEVROP7gOCsvreTYg2Mpjtla2NLKoxVdynTBPae7Sgnf\n3eYbmxl7bCwAFhoLfq7/M7Vca6mcKuPFJ2nRKQp2Vhaq5pBt7oUQqXLL6caKxitwd9B/oVwJv8JX\nu74y6iLCAL6XfAmODQagpUdLKQ69x0ZWH4mdhX4e+fILy7n19NZbPU9MUgw+53xo/GdjFp5ZaCgO\n5bDMwdflv2ZX2130q9hPikNCCAEUdiicZnEI4E7kHY4/OG7ERO+PZF0yI/xGGIpDlVwqMb7meCkO\niQyj0Wj4yPUjFnst5q/P/qJtibZYmemnhcYlx/H7ld9p/ldzBh4YyKlHp7LdOkVH7h9h/N/jDbe/\nr/X9e1kcArCxNFe9OPQqsgaREAIHKwe8CntxNOgoEQkRRCRE4BfoRz33ekaZkhMaF8owv2Ek65Kx\ntbBl7qdzyWGZI9NfV6jD3soeWwtbjj04hk7RcSPiBi2Lt0x3Rzo2KZaVl1Yy3G84fvf9DLvw2VrY\n0r1cd2bWmUkdtzqy+LQQQjzHP9ifXXd2vfKc209vY2lmiYOVAw6WDlLgSKdpJ6ex8/ZOAFztXfFp\n6CNTmkWmyWObh0/cPuHzkp9jZ2nHzSc3DesU3Ym8w+abmzkUeAgbCxuK5SqW5beFvxB6gf77+xt2\nmR1UeRAdS3dUOdX7T9YgEkK8VlhcGH329uFaxDVA38lZ1nAZhRwKZerrTvh7An9e/xOAfhX68U3F\nbzL19YT6tDotHbd35HL4ZUC/IHlLj5avfExcchzrr67nlwu/EB4fbrjf1sKWDqU70L1cd6NPjRRC\niOzi9KPT9NjdI93n58+Rnyr5qhj+K5qzqBSMUrH2ylomn5gM6Eew+jbxpUTuEiqnEqYkQZvAjls7\nWHlpJTee3EhxzMXWhY5lOvJFyS+y5DpF9yLv0XVnV0O/rmPpjoyuPlo+a4xA1iASQqTL04SnfL33\nay6GXQT0C+Ata7iMIrmKZMrrXY+4zudbP0en6HC2dWZb623ZdhtL8WYuhl6k045O6BQdua1zs6zh\nMjQaDQXtC6YYQRafHM+GaxtYfn45YfFhhvutza1pX6o9PT7oQV7bd9v9QQgh3nfJumSabGzCo5hH\nb/X4PDZ5DMWiqvmqUiJ3CZNfr+jvB3/zzb5v0CpazDRmzK83nzqF6qgdS5goRVH45+E/rLy0kqNB\nR1Mcs7Ww5bPin9GlTJdM69O/qdC4ULru6Mr96PsAeBX24sc6P2b5EU/vCykQCSHSLSoxim/2fcOZ\nkDMA5LXNi4+XDx65PTL8tfru7WtYbO+Hj36gdYnWGf4aIuuaemIqa66sSXGfjbkNLT1a0r9if3bc\n3sHy88sJiQsxHLcys6JdqXZ89cFXONs5GzuyEEJkW/vv7WfooaGprkU0rMowarvWxj/YH/9gf04H\nn07x2fsiBysHKrtUNhSNyjiVwdLMMjPjZym3nt6iy/YuhvXvRlQdQbdy3VROJYTerSe38L3sy9ab\nWw1T8Z+pW6gu3cp2o1r+aqqN1IlNiqXH7h5cCrsEQJV8VVjitSTDdrbNkpLi4PwGuLYbdFooUgsq\ndQHb3KrEkQKREOKNxCbFMuDAAE4+OglAbuvcLG24lNJ5SmfYaxwLOkbffX0BKJW7FOuar5OrBibm\nzOMzdNvZDYWXv4oszSxJ0iWluN22RFt6efYiX458xowphBDvjeMPjrP47GICHgcA4OHoQS/PXjQr\n1izFeYqicD/qPqeDT3M6+DT+wf4ERQel+by2FrZUdK5oKBh5Onu+tz/2nsQ/ofOOztyLugdA2xJt\nZVFqkSVFxEew/up6f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EKI7CNTF6l+V2nNixNCCCGEEEIIIYQQGSfLTjETQgghhBBCCCGE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\nAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x15f18266a90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20,5))\n",
    "sns.pointplot(x='questions',y='mean',data=totalplotdata,hue='ins')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#calculate mean for intructor \n",
    "dataset_inst3=data[(data['instr']==3)]\n",
    "class_array_for_inst3=dataset_inst3['class'].unique().tolist()\n",
    "questionmeans=[]\n",
    "classlist=[]\n",
    "questions=[]\n",
    "totalplotdata=pd.DataFrame(list(zip(classlist,questions,questionmeans)),columns=['class','questions','mean'])\n",
    "for class_num in class_array_for_inst3:\n",
    "    class_data=dataset_inst3[(dataset_inst3['class']==class_num)]\n",
    "    questionmeans=[]\n",
    "    classlist=[]\n",
    "    questions=[]\n",
    "    for num in range(1,13):\n",
    "        questions.append(num)\n",
    "    for col in range(5,17):\n",
    "        questionmeans.append(class_data.iloc[:,col].mean())\n",
    "    classlist+=12*[class_num]\n",
    "    plotdata=pd.DataFrame(list(zip(classlist,questions,questionmeans)),columns=['class','questions','mean'])\n",
    "    totalplotdata=totalplotdata.append(plotdata)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>class</th>\n",
       "      <th>questions</th>\n",
       "      <th>mean</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>2.828540</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2.911504</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>2.994469</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>2.933628</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>2.936947</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>2.940265</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "      <td>2.926991</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>3</td>\n",
       "      <td>8</td>\n",
       "      <td>2.908186</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>3</td>\n",
       "      <td>9</td>\n",
       "      <td>2.942478</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>3</td>\n",
       "      <td>10</td>\n",
       "      <td>2.910398</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>3</td>\n",
       "      <td>11</td>\n",
       "      <td>2.910398</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>3</td>\n",
       "      <td>12</td>\n",
       "      <td>2.893805</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>2.433155</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>2.631016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>2.887701</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>2.631016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>2.743316</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>2.780749</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>4</td>\n",
       "      <td>7</td>\n",
       "      <td>2.737968</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "      <td>2.711230</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>4</td>\n",
       "      <td>9</td>\n",
       "      <td>3.090909</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>4</td>\n",
       "      <td>10</td>\n",
       "      <td>2.786096</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>4</td>\n",
       "      <td>11</td>\n",
       "      <td>2.941176</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>4</td>\n",
       "      <td>12</td>\n",
       "      <td>2.737968</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>3.030488</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>3.146341</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>3.120427</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>3.179878</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>3.181402</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>3.221037</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>9</td>\n",
       "      <td>7</td>\n",
       "      <td>3.071804</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>9</td>\n",
       "      <td>8</td>\n",
       "      <td>2.989492</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>3.157618</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>9</td>\n",
       "      <td>10</td>\n",
       "      <td>3.054291</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>9</td>\n",
       "      <td>11</td>\n",
       "      <td>3.302977</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>9</td>\n",
       "      <td>12</td>\n",
       "      <td>3.052539</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>12</td>\n",
       "      <td>1</td>\n",
       "      <td>2.780488</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>12</td>\n",
       "      <td>2</td>\n",
       "      <td>3.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>12</td>\n",
       "      <td>3</td>\n",
       "      <td>3.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>12</td>\n",
       "      <td>4</td>\n",
       "      <td>2.902439</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>12</td>\n",
       "      <td>5</td>\n",
       "      <td>2.804878</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>12</td>\n",
       "      <td>6</td>\n",
       "      <td>2.804878</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>12</td>\n",
       "      <td>7</td>\n",
       "      <td>2.756098</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>12</td>\n",
       "      <td>8</td>\n",
       "      <td>2.829268</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>12</td>\n",
       "      <td>9</td>\n",
       "      <td>2.951220</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>12</td>\n",
       "      <td>10</td>\n",
       "      <td>2.731707</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>12</td>\n",
       "      <td>11</td>\n",
       "      <td>2.878049</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>2.609756</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>13</td>\n",
       "      <td>1</td>\n",
       "      <td>2.648248</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>13</td>\n",
       "      <td>2</td>\n",
       "      <td>2.729111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>13</td>\n",
       "      <td>3</td>\n",
       "      <td>2.834232</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>13</td>\n",
       "      <td>4</td>\n",
       "      <td>2.761456</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>13</td>\n",
       "      <td>5</td>\n",
       "      <td>2.778976</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>13</td>\n",
       "      <td>6</td>\n",
       "      <td>2.731806</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>13</td>\n",
       "      <td>7</td>\n",
       "      <td>2.718329</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>13</td>\n",
       "      <td>8</td>\n",
       "      <td>2.696765</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>13</td>\n",
       "      <td>9</td>\n",
       "      <td>2.846361</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>2.772237</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>13</td>\n",
       "      <td>11</td>\n",
       "      <td>2.757412</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>13</td>\n",
       "      <td>12</td>\n",
       "      <td>2.708895</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>84 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   class questions      mean\n",
       "0      3         1  2.828540\n",
       "1      3         2  2.911504\n",
       "2      3         3  2.994469\n",
       "3      3         4  2.933628\n",
       "4      3         5  2.936947\n",
       "5      3         6  2.940265\n",
       "6      3         7  2.926991\n",
       "7      3         8  2.908186\n",
       "8      3         9  2.942478\n",
       "9      3        10  2.910398\n",
       "10     3        11  2.910398\n",
       "11     3        12  2.893805\n",
       "0      4         1  2.433155\n",
       "1      4         2  2.631016\n",
       "2      4         3  2.887701\n",
       "3      4         4  2.631016\n",
       "4      4         5  2.743316\n",
       "5      4         6  2.780749\n",
       "6      4         7  2.737968\n",
       "7      4         8  2.711230\n",
       "8      4         9  3.090909\n",
       "9      4        10  2.786096\n",
       "10     4        11  2.941176\n",
       "11     4        12  2.737968\n",
       "0      5         1  3.030488\n",
       "1      5         2  3.146341\n",
       "2      5         3  3.120427\n",
       "3      5         4  3.179878\n",
       "4      5         5  3.181402\n",
       "5      5         6  3.221037\n",
       "..   ...       ...       ...\n",
       "6      9         7  3.071804\n",
       "7      9         8  2.989492\n",
       "8      9         9  3.157618\n",
       "9      9        10  3.054291\n",
       "10     9        11  3.302977\n",
       "11     9        12  3.052539\n",
       "0     12         1  2.780488\n",
       "1     12         2  3.000000\n",
       "2     12         3  3.000000\n",
       "3     12         4  2.902439\n",
       "4     12         5  2.804878\n",
       "5     12         6  2.804878\n",
       "6     12         7  2.756098\n",
       "7     12         8  2.829268\n",
       "8     12         9  2.951220\n",
       "9     12        10  2.731707\n",
       "10    12        11  2.878049\n",
       "11    12        12  2.609756\n",
       "0     13         1  2.648248\n",
       "1     13         2  2.729111\n",
       "2     13         3  2.834232\n",
       "3     13         4  2.761456\n",
       "4     13         5  2.778976\n",
       "5     13         6  2.731806\n",
       "6     13         7  2.718329\n",
       "7     13         8  2.696765\n",
       "8     13         9  2.846361\n",
       "9     13        10  2.772237\n",
       "10    13        11  2.757412\n",
       "11    13        12  2.708895\n",
       "\n",
       "[84 rows x 3 columns]"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "totalplotdata"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x15f17e9fe10>"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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L5UVERERERETqvdLvv6fshw0AhHXvTvjll/l8zbihQz1f5y9Y6PP1GpvwoHAGthvIfV3v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PYWtAWFpE6bhqGmBszNCd64AYvgxh1/LpZdZFPqJrakbkGWb83kcw9gpROz3Cotijk7fCfjIkcx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      "text/plain": [
       "<matplotlib.figure.Figure at 0x15f17eb14e0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20,10))\n",
    "sns.pointplot(x='questions',y='mean',data=totalplotdata,hue='class')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#lets begin cluster the students on the basis of questionaire\n",
    "dataset_question=data.iloc[:,5:33]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 28 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Q1  Q2  Q3  Q4  Q5  Q6  Q7  Q8  Q9  Q10 ...   Q19  Q20  Q21  Q22  Q23  Q24  \\\n",
       "0   3   3   3   3   3   3   3   3   3    3 ...     3    3    3    3    3    3   \n",
       "1   3   3   3   3   3   3   3   3   3    3 ...     3    3    3    3    3    3   \n",
       "2   5   5   5   5   5   5   5   5   5    5 ...     5    5    5    5    5    5   \n",
       "3   3   3   3   3   3   3   3   3   3    3 ...     3    3    3    3    3    3   \n",
       "4   1   1   1   1   1   1   1   1   1    1 ...     1    1    1    1    1    1   \n",
       "\n",
       "   Q25  Q26  Q27  Q28  \n",
       "0    3    3    3    3  \n",
       "1    3    3    3    3  \n",
       "2    5    5    5    5  \n",
       "3    3    3    3    3  \n",
       "4    1    1    1    1  \n",
       "\n",
       "[5 rows x 28 columns]"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset_question.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#lets do pca for feature dimensional reduction\n",
    "from sklearn.decomposition import PCA\n",
    "pca=PCA(n_components=2)\n",
    "dataset_questions_pca=pca.fit_transform(dataset_question)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[  0.98901533,   0.52279815],\n",
       "       [  0.98901533,   0.52279815],\n",
       "       [ -9.59128851,   0.6408021 ],\n",
       "       ..., \n",
       "       [ -9.59128851,   0.6408021 ],\n",
       "       [ 11.56931918,   0.4047942 ],\n",
       "       [ 11.56931918,   0.4047942 ]])"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset_questions_pca"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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Ki0Bf5q87RJ5uLysiZZyKowywWCyM6RbC0fOX+XrPKbPjiIhcl4qjjOjVtCYh1Tx1e1kR\nKfNUHGWE1Wrhya4N+el0Kmt+PmN2HBGRAqk4ypB7b61NoJ87b605pL0OESmzVBxliLPNyuN3BBN7\n7AJbjySbHUdE5JpUHGXMwLZ1qerlwlu60ZOIlFEqjjLGzdnGyPBg1u8/y56ES2bHERG5ioqjDHqw\nQxDebk7MXXvQ7CgiIldRcZRB3m7ODO9Yn2/iTnPwTJrZcURE8lFxlFGPhNXH1cnK/HU61iEiZYuK\no4yq4uXKkNuDWPnjSRIuXDY7joiIg4qjDBvVORiLBRasP2x2FBERBxVHGVbbz537bwtk2bYTnEvL\nMjuOiAhQgsWxa9cuIiMjAYiLi6Nz585ERkYSGRnJ119/DcCcOXOIiIhg8ODB7N69G4Bjx44xZMgQ\nhg4dyuTJk7Hb7YUeW5E8cUcI2Xl2FsYcMTuKiAhQQsWxYMECXnrpJbKyrvyUvG/fPh555BEWLVrE\nokWLuPvuu4mLi2Pr1q0sX76cWbNmMXXqVABee+01xo0bx5IlSzAMg9WrVxdqbEUTXM2Lu1vUYtHm\nY1zKyDE7johIyRRHUFAQ0dHRjq/37t3L2rVrGTZsGC+++CJpaWnExsYSHh6OxWKhdu3a5OXlkZyc\nTFxcHLfffjsAXbp0YdOmTYUaWxGNviOE1KxcPvjhmNlRRERwKokX7d27NwkJCY6vW7ZsyQMPPEDz\n5s2ZN28eb731Ft7e3vj5+TnGeHp6kpqaimEYWCyWfNvS0tJueGxB4uPjizSXzMzMIj+3uNiAtoHu\nvLPuAJ2qZuHmVLKHpsrCnEub5lw5VLY5l9R8S6Q4/qhnz574+Pg4fj9t2jS6d+9Oenq6Y0x6ejre\n3t5YrdZ823x8fPDy8rrhsQUJDQ0tUvb4+PgiP7c4jXevwQPzN7MrxYOHwxqU6HuVlTmXJs25cqhs\nc77Z+cbGxl5ze6mcVTVy5EjHAe3NmzfTrFkzWrduTUxMDHa7ncTEROx2OwEBATRt2pQtW7YAsH79\netq2bVuosRVVu/oB3F4/gHfWHyY7t+KdBCAi5Uep7HFMmTKFadOm4ezsTNWqVZk2bRpeXl60bduW\nQYMGYbfbmTRpEgDjx49n4sSJzJo1i+DgYHr37o3NZrvhsRXZ6G4hPPKfbazceZKBbeuaHUdEKimL\nUQnuGBQbG0ubNm2K9NyytGtrGAZ9Z8eQmZvHqr/egc1qKZH3KUtzLi2ac+VQ2eZcHEtV1/reqQ8A\nliMWi4Ux3Rpy+Gw6/4s7bXYcEamkVBzlTJ/mNQmu6slbaw7q9rIiYgoVRzljs1p44o4Q4hJTWLf/\nrNlxRKQSUnGUQ/fdFkgtXzfmrtEl10Wk9Kk4yiEXJyuPdQlm69Fkth1NNjuOiFQyKo5yanC7IAI8\nXZi7RreXFZHSpeIop9xdbIwIq8+an88Sl3jJ7DgiUomoOMqxyI718XJ1Yu5aHesQkdJz3eJITv5t\n/Xzt2rUV9uqz5ZWvuzORHevx9Z5THD6bZnYcEakkCiyOL774gkGDBpGTk8OcOXOYN28eixcvZu7c\nuaWZT/7EiLAGuNisvL1Ot5cVkdJRYHF88sknfPbZZzg7O7Ns2TKio6OJjo5m7dq1pRhP/kw1b1cG\ntavLih8TSLyYYXYcEakECiwOm82Gh4cHBw8eJCAggOrVq2O1WvNdylzKhse6BGMYsGCD9jpEpOQV\n2AJ5eXmkpaXxzTff0KVLFwBOnz5Nbm5uqYWTG1PH34P+twaybOsJzqdlmR1HRCq4AovjkUce4d57\n72X9+vU88sgj7N69m6FDhzJmzJjSzCc3aHTXYDJz83hv01Gzo4hIBVfg/TjuuOMOvv/+e8fXLi4u\nfPTRR1StWrVUgknhNKzuTe+mNXlv01Ee6xKMt5uz2ZFEpIIqcI8jOzub999/H8MwOH36NBMmTOD1\n11/n7FldWK+serJbCKmZuXzww3Gzo4hIBVZgcUybNs1xm9apU6fSpEkTevfuzZQpU0oxnhRGyzp+\ndL6lKu/GHCEzJ8/sOCJSQRVYHImJiURFRZGbm0tsbCyjRo2iZ8+e+T4UKGXPmG4NOZeWxfLtJ8yO\nIiIVVIHFYbFcuS3pjh07aNGiBc7OV9bMs7J01k5Z1r5BAK2D/Ji/7jA5eXaz44hIBVRgcXh4ePDh\nhx+yYMEC+vbti91uZ/ny5dSqVas080kh/Xp72ZMXM/h8Z6LZcUSkAiqwOKZMmcLx48fp3r07999/\nP1u2bOH777/XMY5y4M4m1WlS05t56w5ht+v2siJSvAosjoCAAJ599lmGDRuGxWKhZcuWREdHU61a\ntdLMJ0VgsVh4sltDDp5J49t9SWbHEZEKpsDi2L9/P3369OHSpSv3eti8eTN9+vTh4EHdOKg86Nui\nFvWreDB37UEMQ3sdIlJ8CiyOv//978yaNQtfX18AevTowYwZM3jllVdKLZwUnc1q4fE7QtidcImY\ng+fMjiMiFUiBxWG322nRokW+ba1btyYnJ6fEQ0nxGNA6kBo+rryl28uKSDG6bnFciy5yWH64OtkY\n1TmYHw4nE3vsgtlxRKSCKLA4unTpwvTp00lNTQUgPT2d6dOn06FDh1ILJzdvyO1B+Hs4M2+t9jpE\npHgUWBxdu3bF39+fAQMGEB4ezsCBA/H39+eZZ54pzXxykzxdnXi4UwO+iz9D/KkUs+OISAVQ4NVx\nX3nlFU6dOkW7du3o3LkzYWFhjgPlUr4M71SPd9YfYt7aQ8wecpvZcUSknCuwOBYtWkR2djY//vgj\nW7duZfny5QC0bdtW9+QoZ/w8XHiwQz0WbDjMc70aUa+Kp9mRRKQcu+59YF1cXGjWrBmNGzemcePG\n5ObmEh8fX1rZpBiNDG+Ak83K/HW6vayI3JwC9zj+85//sHbtWlJTU+nYsSNdu3blueeec1zsUMqX\n6j5uPNCmDsu3J/BM91uo6etmdiQRKacK3ON46623CAgI4Pnnn2fcuHF06NBBpVHOPd4lhDzD4N8b\ntNchIkVXYHFs3ryZgQMHsmHDBoYMGcLo0aNZunQpiYm64mp5FVTFg3tb1WbJ1uNcSM82O46IlFMF\nFoezszMdO3Zk/PjxfPzxxwwZMoQvv/yS7t27l2Y+KWaju4ZwOTuP9zYdNTuKiJRTBR7j2LNnD7Gx\nsWzfvp3Dhw/TpEkT7rvvPmbOnFma+aSYNarhTc+mNXhv01FGdQnGy7XAfwIiItdU4HeNN954g/Dw\ncEaPHk3Tpk0ddwSU8u/JriGs2pfEki3HeKxLiNlxRKScKXCp6v3332fUqFE0a9asSKWxa9cuIiMj\nATh27BhDhgxh6NChTJ482XEdrDlz5hAREcHgwYPZvXt3sY2V67styJ+whlX494YjZObkmR1HRMqZ\n636Oo6gWLFjASy+95Lg/+Wuvvca4ceNYsmQJhmGwevVq4uLiHB8snDVrFlOnTi2WsXJjxnRtyJnU\nLD7ZkWB2FBEpZ0qkOIKCgoiOjnZ8HRcXx+233w5cuXjipk2biI2NJTw8HIvFQu3atcnLyyM5Ofmm\nx8qN6RhShVZ1/Zi/7hC5edpTE5EbVyJHRnv37k1Cwm8/yRqG4Vju8vT0JDU1lbS0NPz8/Bxjft1+\ns2MLUtRPvGdmZlbYT8v3b+jKy2su8vY327kz2NuxvSLPuSCac+VQ2eZcUvMtlVNqrNbfdmzS09Px\n8fHBy8uL9PT0fNu9vb1vemxBQkNDi5Q9Pj6+yM8t6xo3Nli2bz2f789k9F3tsFqvlHBFnnNBNOfK\nobLN+WbnGxsbe83tJbJU9UdNmzZly5YtAKxfv562bdvSunVrYmJisNvtJCYmYrfbCQgIuOmxcuOs\nVgtPdm3Iz0mprP7pjNlxRKScKJXiGD9+PNHR0QwaNIicnBx69+5N8+bNadu2LYMGDeKpp55i0qRJ\nxTJWCueelrWoG+DOnDUHMQzD7DgiUg5YjErw3SI2NpY2bdoU6bmVYdf2gx+O8dLKvSx5tD2dGlat\nFHP+I825cqhscy6Opaprfe8slT0OKdsi2tShmrcrc9ceMjuKiJQDKg7BzdnGqM4NiDl4jp0nLpod\nR0TKOBWHADC0fT183Z2Zu+ag2VFEpIxTcQgAXq5ODO9Un2/3JXHsgi65LiIFU3GIwyOd6uPhYuOf\nm86SlJJpdhwRKaNUHOLg7+nCzIhWHL2Yzd1vbiDmwDmzI4lIGaTikHz6tqzFm30DCfB0IXLhFv65\naj959gp/xraIFIKKQ65Sz8+Fz8aGMeC2Ory5+gCR727hTKqWrkTkChWHXJOHixP/GNiKGREtiT12\ngb6zY9h0SEtXIqLikD8xsG1dPhsbhrebEw/+ewvRqw9g19KVSKWm4pA/1aSmD5+PDadfq9r8Y9V+\nhv9nK+fTssyOJSImUXHIDfFydeJfg27l1ftbsOVIMn1nx7DtaLLZsUTEBCoOuWEWi4Wh7YP49MlO\nuDlbGfzOD8xbe0hLVyKVjIpDCq1ZbV++eCqcPs1qMv2bn3j0/23nQro+bS5SWag4pEi83ZyZM/Q2\nXu7fjJgD5+g7ewM7jl8wO5aIlAIVhxSZxWLhoY71+Xh0R2w2CwPnb+bfGw7rhlAiFZyKQ25ayzp+\nfPlUZ+5sUp1XvornsUWxXLqcY3YsESkhKg4pFr7uzrwd2YaJ9zRlzU9n6Bu9gV26t4dIhaTikGJj\nsVgYGd6Aj57oiGFAxPxNvLfxiJauRCoYFYcUu9ZB/nz1dDhdbqnGlC/2MWbJDlIytXQlUlGoOKRE\n+Hm4sOChtkTd1YT/xSXRLzqGvScvmR1LRIqBikNKjNVq4fE7QvjwsQ5k5dgZMG8TH/xwTEtXIuWc\nikNKXNv6AXz1dDgdgqvw0sq9PLNsJ2lZuWbHEpEiUnFIqaji5cp7D7fjhd6N+XJ3IvdGxxB/KsXs\nWCJSBCoOKTVWq4Ux3Rqy+NEOpGblct9bG/lw23EtXYmUMyoOKXUdQ6rw9dOdaVvfn/Gf7OG5j3Zx\nOVtLVyLlhYpDTFHN25X/N6I943rcwqc7T9J/zkYOJKWaHUtEboCKQ0xjs1oY16MRi0a058LlbO6d\ns5FPYhPMjiUif0LFIaYLv6UqXz3dmZZ1fHlu+S7Gf7ybzJw8s2OJSAFUHFIm1PBxY/Gj7RnbrSEf\nbj/BfW9t5NDZNLNjicg1qDikzHCyWXm+d2Pee6QdSSmZ3Bsdw2c7T5odS0T+QMUhZU7XxtX5+pnO\nhNby4ZllO5nw6R4tXYmUISoOKZNq+bqz9LEOPH5HMIu3HGfA3E0cPZdudiwRQcUhZZizzUrUXaG8\nO7wtJy9mcE90DF/vOWV2LJFKT8UhZV730Bp89XQ4Dat78eTiHUz+bC9ZuVq6EjGLikPKhTr+Hnz0\neEdGhDXg/c3HeGD+Zk4kXzY7lkilpOKQcsPFycqkfk2Z/2AbjpxLp+/sDXwbd9rsWCKVjlNpvtl9\n992Ht7c3AHXq1GHQoEH8/e9/x2azER4eztixY7Hb7UyZMoWff/4ZFxcXXnnlFerVq8fOnTtveKxU\nbH2a16RpLR/GLNnBY4tieTS8AePvaoKzTT8HiZSGUiuOrKwsABYtWuTY1r9/f6Kjo6lbty6PPfYY\ncXFxnDx5kuzsbD788EN27tzJ66+/zrx585g8efINj5WKL6iKBx+P7sirX8Xz75gjxB6/wJyhrQn0\nczc7mkiFV2rF8dNPP5GRkcGIESPIzc3lqaeeIjs7m6CgIADCw8PZvHkzZ8+epXPnzgDceuut7N27\nl7S0tBseK5WHq5ONqf2bc3uDKoz/ZDd9Z29g1sBW3NmkhtnRRCq0UisONzc3Ro4cyQMPPMDRo0cZ\nNWoUPj4+jsc9PT05ceIEaWlpeHl5ObbbbLartl1vbG5uLk5OV08rPj6+SLkzMzOL/NzyqrzNOdgZ\n/nV3LV5dl8SI97YT0dyX4bcF4GS13PBrlLc5FwfNueIrqfmWWnE0aNCAevXqYbFYaNCgAd7e3ly8\neNHxeHp6Oj4+PmRmZpKe/tsHvex2O15eXvm2XW/stUoDIDQ0tEi54+Pji/zc8qo8zjkUCG+dx8tf\n7mPJluMcS7MSPaQ1NX3dbuj55XHON0tzrvhudr6xsbHX3F5qRxM//vhjXn/9dQCSkpLIyMjAw8OD\n48ev3AEuJiaGtm3b0rp1a9avXw/Azp07adSoEV5eXjg7O9/QWKm83JxtvHp/C94cfCtxiSncPXsD\n6/afNTuWSIVTanscERERREVP+yTyAAAPmklEQVRFMWTIECwWC6+++ipWq5Xnn3+evLw8wsPDadWq\nFS1atGDjxo0MHjwYwzB49dVXAZg6deoNj5XKrf+tgTSr7cuYxTt4+D9bGdutIeN6NMJWiKUrESmY\nxagEN3yOjY2lTZs2RXpuZdu1hYoz54zsPCZ9tpflsQl0CA5g9uDbqO5z7aWrijLnwtCcK77iWKq6\n1vdOnfguFZa7i42ZD7TijQdasfPERe6eHcOmg+fMjiVS7qk4pMKLaFOHz8aE4+vuxLB3t/DmdwfI\ns1f4HW2REqPikEqhcU1vPh8bzn23BvLP7/YzfOFWzqVlmR1LpFxScUil4enqxKyBrXh9QAu2HU3m\n7jc38MPh82bHEil3VBxSqVgsFgbfHsTKMWF4ujoxdMEPvLXmIPaKf46ISLEp1YscipQVobV8+OKp\ncKJW7GHm/35mnouVVkEptAj0o0WgLy3r+FLH3x2LRafwivyRikMqLS9XJ2YPvpW7mtfky20HOJGe\ny7sxh8nJu7L34efh7CiRFoG+tKjjR21fN5WJVHoqDqnULBYLd7eoRQOni4SGhpKVm8fPp1PZc/IS\nexIusTvhEm+vO0zuL2dhVfF0ocWvRRLoS8s6ftTwcVWZSKWi4hD5HVcnGy3r+NGyjh+0v7ItMyeP\nn06nsifhIrsTLrHn5CXW7z/Lr2f0VvN2pWWg72+FUseX6t43do0skfJIxSHyJ9ycbdxa149b6/o5\ntmVk57HvVMqVMvll7+T7n8/w6zH2mj5utKjjS8tAX5r/8t8qXq4mzUCkeKk4RIrA3cVGm3r+tKnn\n79iWnpXLvlMpV/ZKfimUVfuSHI8H+rk79kh+Xery93QxI77ITVFxiBQTT1cn2tUPoF39AMe21Mwc\n4hJTrhwvOXmlUL753X3S6wa40zLQj+a/HIRvHuiLr7uzGfFFbpiKQ6QEebs50yG4Ch2Cqzi2XcrI\nIe7kJccS1+6TF/lqzynH4/WreNCijh8tAn1oEehH80AfvN1UJlJ2qDhESpmvuzOdGlalU8Oqjm0X\n0rPZm3jpl2WuS+w4doEvdiU6Hg+u5nnleMkvZ3I1q+2Dp6v+9xVz6F+eSBng7+lC51uq0fmWao5t\n59Oyfjst+OQlfjiczMqdV8rEYoGG1bwcB+Bb1PGlaS1f3F1sZk1BKhEVh0gZVcXLla6Nq9O1cXXH\ntjOpmew9+dueyYYD51ix4yQAVgs0quHt+NBi80BfQmv54OasMpHipeIQKUeqe7txZxM37mxSw7Et\nKSUz35lc3/90huWxCQA4WS00quF95dPvv5zN1bimN65OKhMpOhWHSDlXw8eNnk3d6Nn0SpkYhsGp\nS7+UyckrH1r8X9xplm07AYCzzULjmt4EOOcRehTq+HtQx8+dQH93Av3cdexE/pT+hYhUMBaLhdp+\n7tT2c6dP85rAlTJJuJDBnl+WueISL3Hg9EU2nzjiuDbXr/w8nAn0u1Iiv5ZJHX93Av08CPR3x9/D\nWZdYqeRUHCKVgMVioW6AB3UDPLi7RS3gyv2oGzduwtm0LBIuZHDyYgYnL2Rw8uJlTl7I4Oj5dDYe\nPEd6dl6+1/JwsVHbUSZXl0t1b1esVhVLRabiEKnErFYLNXzcqOHjlu9T8L8yDIOLl3M4eTHj6nK5\nmMGuExe5cDkn33OcbRZq+eYvlUB/d+r4uVPH34Oavm64OOlWQOWZikNECmSxWPD3dMHf04Xmgb7X\nHJOelUvixQwSHKXy2383HDjLmdQsfn+fLIsFani75SuV35dLoL87Hi761lSW6W9HRG6Kp6sTt9Tw\n5pYa3td8PDvXzqlLV8rkj+Wy88RF/rv31FXHWfw9nH+3BOZx1ZKYr7uOs5hJxSEiJcrFyUq9Kp7U\nq+J5zcfz7AZnU7M4efGyYzks4cKVYjl0Np31+8+RkZP/OIuni+0Peywe+YqlmpeOs5QkFYeImMpm\ntVDT142avm60qXf144ZhcOFyjuPYSsIflsN+PHGRi384zuJis1Lb73fLYX4e1PZzIy05nTT3ZHzd\nnR2/9AHJwlNxiEiZZrFYCPB0IeCXuy9eS1pWbr4zwn6/JLb25yvHWRy+T8r3XBcna74i8XV3xsfN\n6bff/+ExX4/ffu/ubKuUS2YqDhEp97xcnWhc05vGNa99nCUrN4+kS1n8uG8/ATUDuZSRk+9Xyu9+\nfyY1kwNncrh0OYfUrNx8B/b/yNlmyVcuPm7OV5XQVeXzS/F4upTf0lFxiEiF5+pkI6iKB+lVXQn9\n3YUk/4zdbpCamftbwWTmXFU6vy+fC5ezOXo+3fG1/Tql42S1/K5wnK7esymofDyc8XJxMvUYjopD\nRKQAVqvlyh6CR+Hvh2K3G6Rl53Lp8m+lk3LN0vmtmBIuZDh+n3ed1rFartzr5bp7Nu7OOF3OIDT0\nZv4Erk3FISJSAqxWCz5uV5av6hbyuYZhkJ6dd9Uy2rW+/vVX4qUMx2O/nt7sZIW+nXKL/fpjKg4R\nkTLGYrHg5eqEl6sTgX7uhXquYRhk5OSRkpHLkcMHS+SilSoOEZEKxGKx4OHihIeLExfcSuZUY10w\nRkRECkXFISIihaLiEBGRQlFxiIhIoag4RESkUFQcIiJSKCoOEREpFIthXO8SXhVDbGys2RFERMql\nNm3aXLWtUhSHiIgUHy1ViYhIoag4RESkUFQc17Fr1y4iIyPNjlEqcnJyeOGFFxg6dCgRERGsXr3a\n7EglLi8vj6ioKAYPHsywYcM4fvy42ZFKzfnz57njjjs4dOiQ2VFKxX333UdkZCSRkZFERUWZHadU\nvP322wwaNIgBAwawfPnyYn1tXeSwAAsWLODzzz/H3b1wV6Ysrz7//HP8/PyYOXMmFy5c4P7776d7\n9+5mxypRa9asAWDZsmVs2bKF1157jXnz5pmcquTl5OQwadIk3NzczI5SKrKyrtw2dtGiRSYnKT1b\ntmzhxx9/ZOnSpWRkZLBw4cJifX3tcRQgKCiI6Ohos2OUmj59+vDMM884vrbZSuaqmmVJjx49mDZt\nGgCJiYlUrVrV5ESlY/r06QwePJjq1aubHaVU/PTTT2RkZDBixAgeeughdu7caXakEhcTE0OjRo0Y\nM2YMTzzxBF27di3W19ceRwF69+5NQkKC2TFKjaenJwBpaWk8/fTTjBs3zuREpcPJyYnx48ezatUq\nZs+ebXacErdixQoCAgLo3Lkz77zzjtlxSoWbmxsjR47kgQce4OjRo4waNYpvvvkGJ6eK++3vwoUL\nJCYmMn/+fBISEhg9ejTffPNNsd3jXHsc4nDq1Ckeeugh+vfvT79+/cyOU2qmT5/O//73PyZOnMjl\ny5fNjlOiPvnkEzZt2kRkZCTx8fGMHz+es2fPmh2rRDVo0IB7770Xi8VCgwYN8PPzq/Bz9vPzIzw8\nHBcXF4KDg3F1dSU5ObnYXl/FIQCcO3eOESNG8MILLxAREWF2nFKxcuVK3n77bQDc3d2xWCwVfolu\n8eLFfPDBByxatIjQ0FCmT59OtWrVzI5Voj7++GNef/11AJKSkkhLS6vwc27Tpg0bNmzAMAySkpLI\nyMjAz8+v2F6/4u6rSaHMnz+flJQU5s6dy9y5c4ErJwhU5AOovXr1IioqimHDhpGbm8uLL76Iq6ur\n2bGkmEVERBAVFcWQIUOwWCy8+uqrFXqZCqBbt25s27aNiIgIDMNg0qRJxfpDkT45LiIihaKlKhER\nKRQVh4iIFIqKQ0RECkXFISIihaLiEBGRQlFxiNygyMjIErso4OLFi+nfvz9ff/31dcetWLGCN954\no1CvnZWVVewXuZPKTcUhUgasWrWKGTNmcPfddxf7a589e1bFIcWqYn8KRiq1FStWsG7dOjIzMzl+\n/DijRo1iwIABREZGMmXKFEJCQli6dCnnzp3j/vvv569//Su1atUiISGBvn37cuDAAfbt20fXrl15\n9tlnAZg9ezYXLlzAxcWFGTNmEBAQwD/+8Q+2bduGYRg8/PDD3HXXXURGRuLv709KSgrvvvuu48NX\nCQkJTJgwgdzcXCwWCy+99BK7du1i7969TJgwgX/+85/UrVsXgMzMTKKiokhMTCQnJ4eJEyc65paQ\nkMCzzz7LRx99BMDAgQOZNWsWSUlJTJ8+HScnJ3x8fHjjjTeYP38+Bw8eZM6cOQwfPpwJEyZw4cIF\nAF566SUaN25Mt27dCA4OJjg4mHbt2rFgwQKcnJwIDAxkxowZWK36GVN+o+KQCi0tLY13332Xo0eP\n8sQTTzBgwIACx544cYKFCxeSmZlJ9+7dWb9+Pe7u7nTr1s1RHL169aJv374sXryYt99+m06dOpGQ\nkMCyZcvIyspi4MCBhIWFAdCvXz969uyZ7z1mzJhBZGQkPXr0ID4+nhdffJEVK1bw5ZdfMmXKFEdp\nwJXLvQcGBvLPf/6T/fv3s2nTJnx8fK473++++46ePXsycuRIvv/+e1JSUnjiiSfYv38/Y8eOZebM\nmXTo0IGhQ4dy9OhRoqKiWLp0KadOnWLFihX4+/vz9NNP8/DDD9O3b19WrlxJWlran76vVC4qDqnQ\nmjRpAkCtWrXIzs6+6vHfXzihbt26eHt74+LiQtWqVR3X9vn9FUXbtm0LQOvWrVm3bh1Vq1YlLi7O\nccOv3NxcEhMTgSsX1/ujQ4cO0a5dOwBCQ0M5ffp0gdkPHz5Mly5dAGjUqBGNGjVixYoV1xz76zye\neOIJ5s+fz/Dhw6lRowYtW7bMN+/9+/fzww8/8N///heAlJQUAPz9/fH39wcgKiqKt99+m6VLlxIc\nHEyPHj0KzCiVk/Y/pUK71mWkXVxcHFdH3bdv33XH/tGePXsA2L59O7fccgvBwcG0b9+eRYsW8f77\n73PXXXdRp06dAl8vJCSE7du3AxAfH3/de4CEhIQ43u/EiRM899xzjsdcXV05f/48eXl5pKSkOG4B\n8MUXX3D//fezaNEibrnlFj766COsVit2ux2A4OBgHn74YRYtWsS//vUvx1WQf78U9eGHH/LUU0/x\nwQcfAFeOv4j8nvY4pNJ56KGHePnll6lVq1ahb2b03Xff8f777+Pp6cn06dPx8fFh69atDB06lMuX\nL9OjRw+8vLwKfP7f/vY3Jk6cyMKFC8nNzeXvf/97gWMHDx7Miy++yIMPPkheXh4vvvgiBw4cAKBa\ntWqEhYURERFBUFAQ9erVA6BFixb83//9Hx4eHjg7O/Pyyy9TpUoVcnJymDlzJk888QQTJkzgo48+\nIi0tjbFjx171vi1btuSRRx7Bz88PT0/PYr8JkJR/usihiIgUipaqRESkUFQcIiJSKCoOEREpFBWH\niIgUiopDREQKRcUhIiKFouIQEZFCUXGIiEih/H/MlAk8Y66GAwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x15f18e7a9e8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn.cluster import KMeans\n",
    "wcss=[]\n",
    "for i in range(1,7):\n",
    "    kmeans=KMeans(n_clusters=i,init='k-means++',random_state=42)\n",
    "    kmeans.fit(dataset_questions_pca)\n",
    "    wcss.append(kmeans.inertia_)\n",
    "plt.plot(range(1,7),wcss)\n",
    "plt.title('the elbow method')\n",
    "plt.xlabel('number of clusters')\n",
    "plt.ylabel('WCSS')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "kmeans=KMeans(n_clusters=3,init='k-means++')\n",
    "y_kmeans=kmeans.fit_predict(dataset_questions_pca)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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VTN07lfyUfKcB3W504+6+l+9LQ2J3rmLCJP80yT9Lq0vZ+NNGPj75scfF8rz3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\nAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x15f1a2dcac8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(dataset_questions_pca[y_kmeans==0,0],dataset_questions_pca[y_kmeans==0,1],s=100,c='yellow',label='cluster1')\n",
    "plt.scatter(dataset_questions_pca[y_kmeans==1,0],dataset_questions_pca[y_kmeans==1,1],s=100,c='green',label='cluster2')\n",
    "plt.scatter(dataset_questions_pca[y_kmeans==2,0],dataset_questions_pca[y_kmeans==2,1],s=100,c='red',label='cluster3')\n",
    "plt.scatter(kmeans.cluster_centers_[:,0],kmeans.cluster_centers_[:,1],s=300,c='blue',label='Centroids')\n",
    "plt.title('cluster of students')\n",
    "plt.xlabel('PCA 1')\n",
    "plt.ylabel('PCA 2')\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Counter({0: 1240, 1: 2358, 2: 2222})"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import collections\n",
    "collections.Counter(y_kmeans)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#using demogram to find the optimal number of cluster\n",
    "import scipy.cluster.hierarchy as sch"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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37t39bnTUqFGMHDkSgJMnT9KlSxfef/99hg0bBsDw4cPZsWMHSUlJpKamYjAY6NGjB06n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\nTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x15f1c27a6d8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dendrogram=sch.dendrogram(sch.linkage(dataset_questions_pca,method='ward'))\n",
    "plt.title('Dendrogram')\n",
    "plt.xlabel('questions')\n",
    "plt.ylabel('Euclidean Distances')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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fn7D0V2RUPn4M8XmD0QA4SfCBoea3VD2dnFpSQjjxbO74vcZyudDWTOKv/b0T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\ndu1a+wXFYP/4xz+UcePGeX2tvLxcKS4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      "text/plain": [
       "<matplotlib.figure.Figure at 0x15f22bb2e80>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#fitting hierarchical cluster to dataset\n",
    "from sklearn.cluster import AgglomerativeClustering\n",
    "hc=AgglomerativeClustering(n_clusters=2,affinity='euclidean',linkage='ward')\n",
    "y_hc=hc.fit_predict(dataset_questions_pca)\n",
    "X=dataset_questions_pca\n",
    "#visualizing the cluster\n",
    "plt.scatter(X[y_hc == 0, 0], X[y_hc == 0, 1], s = 100, c = 'yellow', label = 'Cluster 1')\n",
    "plt.scatter(X[y_hc == 1, 0], X[y_hc == 1, 1], s = 100, c = 'red', label = 'Cluster 2')\n",
    "plt.title('Clusters of STUDENTS')\n",
    "plt.xlabel('PCA 1')\n",
    "plt.ylabel('PCA 2')\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Counter({0: 3502, 1: 2318})"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import collections\n",
    "collections.Counter(y_hc)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "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": "3.6.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}