From a7e30fd562a29d56649748d9afb4a702a0892a3b Mon Sep 17 00:00:00 2001
From: Sang Putu Sandhyana Yogi
 <79888425+youronlydimwit@users.noreply.github.com>
Date: Mon, 29 Apr 2024 18:29:04 +0700
Subject: [PATCH] Delete Classification/HRD_Survey.ipynb

---
 Classification/HRD_Survey.ipynb | 1684 -------------------------------
 1 file changed, 1684 deletions(-)
 delete mode 100644 Classification/HRD_Survey.ipynb

diff --git a/Classification/HRD_Survey.ipynb b/Classification/HRD_Survey.ipynb
deleted file mode 100644
index 71b5866..0000000
--- a/Classification/HRD_Survey.ipynb
+++ /dev/null
@@ -1,1684 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "id": "411169cb",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import pandas as pd\n",
-    "import matplotlib.pyplot as plt\n",
-    "import numpy as np"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "id": "c95cf542",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>Role Satisfaction</th>\n",
-       "      <th>Skill Utilization</th>\n",
-       "      <th>Career Growth Opportunity</th>\n",
-       "      <th>Supervisor Support</th>\n",
-       "      <th>Work-Life Balance</th>\n",
-       "      <th>Recognition &amp; Appreciation</th>\n",
-       "      <th>Company Culture</th>\n",
-       "      <th>Training &amp; Development</th>\n",
-       "      <th>Communication Effectiveness</th>\n",
-       "      <th>Diversity &amp; Inclusion</th>\n",
-       "      <th>Work Environment</th>\n",
-       "      <th>Compensation</th>\n",
-       "      <th>Staff_Id</th>\n",
-       "      <th>Month_Of_Service</th>\n",
-       "      <th>Years_Of_Service</th>\n",
-       "      <th>Residence</th>\n",
-       "      <th>Residence_Code</th>\n",
-       "      <th>Net_Salary</th>\n",
-       "      <th>Resigned</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>3</td>\n",
-       "      <td>4</td>\n",
-       "      <td>5</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2</td>\n",
-       "      <td>3</td>\n",
-       "      <td>3</td>\n",
-       "      <td>3</td>\n",
-       "      <td>2</td>\n",
-       "      <td>3</td>\n",
-       "      <td>4</td>\n",
-       "      <td>4</td>\n",
-       "      <td>SA63171</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>Depok</td>\n",
-       "      <td>4</td>\n",
-       "      <td>5582218</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>2</td>\n",
-       "      <td>3</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2</td>\n",
-       "      <td>4</td>\n",
-       "      <td>3</td>\n",
-       "      <td>4</td>\n",
-       "      <td>3</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2</td>\n",
-       "      <td>4</td>\n",
-       "      <td>SP10211</td>\n",
-       "      <td>43</td>\n",
-       "      <td>3</td>\n",
-       "      <td>Jakarta</td>\n",
-       "      <td>1</td>\n",
-       "      <td>9213443</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>3</td>\n",
-       "      <td>3</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2</td>\n",
-       "      <td>5</td>\n",
-       "      <td>4</td>\n",
-       "      <td>4</td>\n",
-       "      <td>3</td>\n",
-       "      <td>2</td>\n",
-       "      <td>4</td>\n",
-       "      <td>5</td>\n",
-       "      <td>SA79627</td>\n",
-       "      <td>10</td>\n",
-       "      <td>0</td>\n",
-       "      <td>Bekasi</td>\n",
-       "      <td>3</td>\n",
-       "      <td>5836455</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>3</td>\n",
-       "      <td>3</td>\n",
-       "      <td>4</td>\n",
-       "      <td>4</td>\n",
-       "      <td>3</td>\n",
-       "      <td>1</td>\n",
-       "      <td>4</td>\n",
-       "      <td>4</td>\n",
-       "      <td>4</td>\n",
-       "      <td>5</td>\n",
-       "      <td>3</td>\n",
-       "      <td>5</td>\n",
-       "      <td>SA02310</td>\n",
-       "      <td>17</td>\n",
-       "      <td>1</td>\n",
-       "      <td>Depok</td>\n",
-       "      <td>4</td>\n",
-       "      <td>6035466</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>3</td>\n",
-       "      <td>2</td>\n",
-       "      <td>4</td>\n",
-       "      <td>3</td>\n",
-       "      <td>3</td>\n",
-       "      <td>2</td>\n",
-       "      <td>3</td>\n",
-       "      <td>4</td>\n",
-       "      <td>2</td>\n",
-       "      <td>3</td>\n",
-       "      <td>2</td>\n",
-       "      <td>3</td>\n",
-       "      <td>SA98565</td>\n",
-       "      <td>17</td>\n",
-       "      <td>1</td>\n",
-       "      <td>Jakarta</td>\n",
-       "      <td>1</td>\n",
-       "      <td>5568101</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "   Role Satisfaction  Skill Utilization  Career Growth Opportunity  \\\n",
-       "0                  3                  4                          5   \n",
-       "1                  2                  3                          1   \n",
-       "2                  3                  3                          2   \n",
-       "3                  3                  3                          4   \n",
-       "4                  3                  2                          4   \n",
-       "\n",
-       "   Supervisor Support  Work-Life Balance  Recognition & Appreciation  \\\n",
-       "0                   2                  2                           3   \n",
-       "1                   2                  4                           3   \n",
-       "2                   2                  2                           5   \n",
-       "3                   4                  3                           1   \n",
-       "4                   3                  3                           2   \n",
-       "\n",
-       "   Company Culture  Training & Development  Communication Effectiveness  \\\n",
-       "0                3                       3                            2   \n",
-       "1                4                       3                            2   \n",
-       "2                4                       4                            3   \n",
-       "3                4                       4                            4   \n",
-       "4                3                       4                            2   \n",
-       "\n",
-       "   Diversity & Inclusion  Work Environment  Compensation Staff_Id  \\\n",
-       "0                      3                 4             4  SA63171   \n",
-       "1                      2                 2             4  SP10211   \n",
-       "2                      2                 4             5  SA79627   \n",
-       "3                      5                 3             5  SA02310   \n",
-       "4                      3                 2             3  SA98565   \n",
-       "\n",
-       "   Month_Of_Service  Years_Of_Service Residence  Residence_Code  Net_Salary  \\\n",
-       "0                 1                 0     Depok               4     5582218   \n",
-       "1                43                 3   Jakarta               1     9213443   \n",
-       "2                10                 0    Bekasi               3     5836455   \n",
-       "3                17                 1     Depok               4     6035466   \n",
-       "4                17                 1   Jakarta               1     5568101   \n",
-       "\n",
-       "   Resigned  \n",
-       "0         0  \n",
-       "1         0  \n",
-       "2         0  \n",
-       "3         0  \n",
-       "4         0  "
-      ]
-     },
-     "execution_count": 2,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Grab Data\n",
-    "df = pd.read_excel(\"https://raw.githubusercontent.com/youronlydimwit/Data_ScienceUse_Cases/main/Classification/Data/HRD_Survey_50.xlsx\")\n",
-    "df.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "id": "7c5d95f1",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "Role Satisfaction               int64\n",
-       "Skill Utilization               int64\n",
-       "Career Growth Opportunity       int64\n",
-       "Supervisor Support              int64\n",
-       "Work-Life Balance               int64\n",
-       "Recognition & Appreciation      int64\n",
-       "Company Culture                 int64\n",
-       "Training & Development          int64\n",
-       "Communication Effectiveness     int64\n",
-       "Diversity & Inclusion           int64\n",
-       "Work Environment                int64\n",
-       "Compensation                    int64\n",
-       "Staff_Id                       object\n",
-       "Month_Of_Service                int64\n",
-       "Years_Of_Service                int64\n",
-       "Residence                      object\n",
-       "Residence_Code                  int64\n",
-       "Net_Salary                      int64\n",
-       "Resigned                        int64\n",
-       "dtype: object"
-      ]
-     },
-     "execution_count": 3,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Check data types\n",
-    "df.dtypes"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "id": "c386bd3a",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
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-       "      <th></th>\n",
-       "      <th>Role Satisfaction</th>\n",
-       "      <th>Skill Utilization</th>\n",
-       "      <th>Career Growth Opportunity</th>\n",
-       "      <th>Supervisor Support</th>\n",
-       "      <th>Work-Life Balance</th>\n",
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-       "      <th>Communication Effectiveness</th>\n",
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-       "      <th>Residence_Code</th>\n",
-       "      <th>Net_Salary</th>\n",
-       "      <th>Resigned</th>\n",
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-       "  <tbody>\n",
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-       "      <td>2</td>\n",
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-       "      <td>43</td>\n",
-       "      <td>3</td>\n",
-       "      <td>1</td>\n",
-       "      <td>9213443</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>3</td>\n",
-       "      <td>3</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2</td>\n",
-       "      <td>5</td>\n",
-       "      <td>4</td>\n",
-       "      <td>4</td>\n",
-       "      <td>3</td>\n",
-       "      <td>2</td>\n",
-       "      <td>4</td>\n",
-       "      <td>5</td>\n",
-       "      <td>10</td>\n",
-       "      <td>0</td>\n",
-       "      <td>3</td>\n",
-       "      <td>5836455</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>3</td>\n",
-       "      <td>3</td>\n",
-       "      <td>4</td>\n",
-       "      <td>4</td>\n",
-       "      <td>3</td>\n",
-       "      <td>1</td>\n",
-       "      <td>4</td>\n",
-       "      <td>4</td>\n",
-       "      <td>4</td>\n",
-       "      <td>5</td>\n",
-       "      <td>3</td>\n",
-       "      <td>5</td>\n",
-       "      <td>17</td>\n",
-       "      <td>1</td>\n",
-       "      <td>4</td>\n",
-       "      <td>6035466</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>3</td>\n",
-       "      <td>2</td>\n",
-       "      <td>4</td>\n",
-       "      <td>3</td>\n",
-       "      <td>3</td>\n",
-       "      <td>2</td>\n",
-       "      <td>3</td>\n",
-       "      <td>4</td>\n",
-       "      <td>2</td>\n",
-       "      <td>3</td>\n",
-       "      <td>2</td>\n",
-       "      <td>3</td>\n",
-       "      <td>17</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>5568101</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "   Role Satisfaction  Skill Utilization  Career Growth Opportunity  \\\n",
-       "0                  3                  4                          5   \n",
-       "1                  2                  3                          1   \n",
-       "2                  3                  3                          2   \n",
-       "3                  3                  3                          4   \n",
-       "4                  3                  2                          4   \n",
-       "\n",
-       "   Supervisor Support  Work-Life Balance  Recognition & Appreciation  \\\n",
-       "0                   2                  2                           3   \n",
-       "1                   2                  4                           3   \n",
-       "2                   2                  2                           5   \n",
-       "3                   4                  3                           1   \n",
-       "4                   3                  3                           2   \n",
-       "\n",
-       "   Company Culture  Training & Development  Communication Effectiveness  \\\n",
-       "0                3                       3                            2   \n",
-       "1                4                       3                            2   \n",
-       "2                4                       4                            3   \n",
-       "3                4                       4                            4   \n",
-       "4                3                       4                            2   \n",
-       "\n",
-       "   Diversity & Inclusion  Work Environment  Compensation  Month_Of_Service  \\\n",
-       "0                      3                 4             4                 1   \n",
-       "1                      2                 2             4                43   \n",
-       "2                      2                 4             5                10   \n",
-       "3                      5                 3             5                17   \n",
-       "4                      3                 2             3                17   \n",
-       "\n",
-       "   Years_Of_Service  Residence_Code  Net_Salary  Resigned  \n",
-       "0                 0               4     5582218         0  \n",
-       "1                 3               1     9213443         0  \n",
-       "2                 0               3     5836455         0  \n",
-       "3                 1               4     6035466         0  \n",
-       "4                 1               1     5568101         0  "
-      ]
-     },
-     "execution_count": 4,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Making a copy of df, but with only numerical information\n",
-    "# Removing unnecessary columns\n",
-    "pred_df = df.drop(columns=['Staff_Id','Residence'])\n",
-    "pred_df.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "id": "2489f593",
-   "metadata": {
-    "scrolled": true
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
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-       "\n",
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-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>Role Satisfaction</th>\n",
-       "      <th>Skill Utilization</th>\n",
-       "      <th>Career Growth Opportunity</th>\n",
-       "      <th>Supervisor Support</th>\n",
-       "      <th>Work-Life Balance</th>\n",
-       "      <th>Recognition &amp; Appreciation</th>\n",
-       "      <th>Company Culture</th>\n",
-       "      <th>Training &amp; Development</th>\n",
-       "      <th>Communication Effectiveness</th>\n",
-       "      <th>Diversity &amp; Inclusion</th>\n",
-       "      <th>Work Environment</th>\n",
-       "      <th>Compensation</th>\n",
-       "      <th>Month_Of_Service</th>\n",
-       "      <th>Years_Of_Service</th>\n",
-       "      <th>Residence_Code</th>\n",
-       "      <th>Net_Salary</th>\n",
-       "      <th>Resigned</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>count</th>\n",
-       "      <td>500.000000</td>\n",
-       "      <td>500.000000</td>\n",
-       "      <td>500.000000</td>\n",
-       "      <td>500.000000</td>\n",
-       "      <td>500.000000</td>\n",
-       "      <td>500.00000</td>\n",
-       "      <td>500.000000</td>\n",
-       "      <td>500.000000</td>\n",
-       "      <td>500.000000</td>\n",
-       "      <td>500.000000</td>\n",
-       "      <td>500.000000</td>\n",
-       "      <td>500.000000</td>\n",
-       "      <td>500.000000</td>\n",
-       "      <td>500.00000</td>\n",
-       "      <td>500.000000</td>\n",
-       "      <td>5.000000e+02</td>\n",
-       "      <td>500.0000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>mean</th>\n",
-       "      <td>3.006000</td>\n",
-       "      <td>3.038000</td>\n",
-       "      <td>3.004000</td>\n",
-       "      <td>2.948000</td>\n",
-       "      <td>2.950000</td>\n",
-       "      <td>3.01600</td>\n",
-       "      <td>2.946000</td>\n",
-       "      <td>3.016000</td>\n",
-       "      <td>3.024000</td>\n",
-       "      <td>3.014000</td>\n",
-       "      <td>2.990000</td>\n",
-       "      <td>4.022000</td>\n",
-       "      <td>34.510000</td>\n",
-       "      <td>2.30400</td>\n",
-       "      <td>3.018000</td>\n",
-       "      <td>7.908836e+06</td>\n",
-       "      <td>0.1000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>std</th>\n",
-       "      <td>0.989911</td>\n",
-       "      <td>1.046301</td>\n",
-       "      <td>1.020817</td>\n",
-       "      <td>0.991596</td>\n",
-       "      <td>0.980522</td>\n",
-       "      <td>1.00487</td>\n",
-       "      <td>1.000543</td>\n",
-       "      <td>1.042073</td>\n",
-       "      <td>1.016608</td>\n",
-       "      <td>1.048811</td>\n",
-       "      <td>0.977656</td>\n",
-       "      <td>1.021569</td>\n",
-       "      <td>19.267391</td>\n",
-       "      <td>1.43935</td>\n",
-       "      <td>1.444246</td>\n",
-       "      <td>4.383144e+06</td>\n",
-       "      <td>0.3003</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>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",
-       "      <td>2.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.00000</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>5.070036e+06</td>\n",
-       "      <td>0.0000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>25%</th>\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>2.00000</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>3.000000</td>\n",
-       "      <td>18.750000</td>\n",
-       "      <td>1.00000</td>\n",
-       "      <td>2.000000</td>\n",
-       "      <td>5.688296e+06</td>\n",
-       "      <td>0.0000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>50%</th>\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>3.00000</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",
-       "      <td>4.000000</td>\n",
-       "      <td>35.000000</td>\n",
-       "      <td>2.00000</td>\n",
-       "      <td>3.000000</td>\n",
-       "      <td>6.341903e+06</td>\n",
-       "      <td>0.0000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>75%</th>\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>4.00000</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",
-       "      <td>5.000000</td>\n",
-       "      <td>50.000000</td>\n",
-       "      <td>4.00000</td>\n",
-       "      <td>4.000000</td>\n",
-       "      <td>8.342422e+06</td>\n",
-       "      <td>0.0000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>max</th>\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>5.00000</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",
-       "      <td>6.000000</td>\n",
-       "      <td>66.000000</td>\n",
-       "      <td>4.00000</td>\n",
-       "      <td>5.000000</td>\n",
-       "      <td>5.443630e+07</td>\n",
-       "      <td>1.0000</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "       Role Satisfaction  Skill Utilization  Career Growth Opportunity  \\\n",
-       "count         500.000000         500.000000                 500.000000   \n",
-       "mean            3.006000           3.038000                   3.004000   \n",
-       "std             0.989911           1.046301                   1.020817   \n",
-       "min             1.000000           1.000000                   1.000000   \n",
-       "25%             2.000000           2.000000                   2.000000   \n",
-       "50%             3.000000           3.000000                   3.000000   \n",
-       "75%             4.000000           4.000000                   4.000000   \n",
-       "max             5.000000           5.000000                   5.000000   \n",
-       "\n",
-       "       Supervisor Support  Work-Life Balance  Recognition & Appreciation  \\\n",
-       "count          500.000000         500.000000                   500.00000   \n",
-       "mean             2.948000           2.950000                     3.01600   \n",
-       "std              0.991596           0.980522                     1.00487   \n",
-       "min              1.000000           1.000000                     1.00000   \n",
-       "25%              2.000000           2.000000                     2.00000   \n",
-       "50%              3.000000           3.000000                     3.00000   \n",
-       "75%              4.000000           4.000000                     4.00000   \n",
-       "max              5.000000           5.000000                     5.00000   \n",
-       "\n",
-       "       Company Culture  Training & Development  Communication Effectiveness  \\\n",
-       "count       500.000000              500.000000                   500.000000   \n",
-       "mean          2.946000                3.016000                     3.024000   \n",
-       "std           1.000543                1.042073                     1.016608   \n",
-       "min           1.000000                1.000000                     1.000000   \n",
-       "25%           2.000000                2.000000                     2.000000   \n",
-       "50%           3.000000                3.000000                     3.000000   \n",
-       "75%           4.000000                4.000000                     4.000000   \n",
-       "max           5.000000                5.000000                     5.000000   \n",
-       "\n",
-       "       Diversity & Inclusion  Work Environment  Compensation  \\\n",
-       "count             500.000000        500.000000    500.000000   \n",
-       "mean                3.014000          2.990000      4.022000   \n",
-       "std                 1.048811          0.977656      1.021569   \n",
-       "min                 1.000000          1.000000      2.000000   \n",
-       "25%                 2.000000          2.000000      3.000000   \n",
-       "50%                 3.000000          3.000000      4.000000   \n",
-       "75%                 4.000000          4.000000      5.000000   \n",
-       "max                 5.000000          5.000000      6.000000   \n",
-       "\n",
-       "       Month_Of_Service  Years_Of_Service  Residence_Code    Net_Salary  \\\n",
-       "count        500.000000         500.00000      500.000000  5.000000e+02   \n",
-       "mean          34.510000           2.30400        3.018000  7.908836e+06   \n",
-       "std           19.267391           1.43935        1.444246  4.383144e+06   \n",
-       "min            0.000000           0.00000        1.000000  5.070036e+06   \n",
-       "25%           18.750000           1.00000        2.000000  5.688296e+06   \n",
-       "50%           35.000000           2.00000        3.000000  6.341903e+06   \n",
-       "75%           50.000000           4.00000        4.000000  8.342422e+06   \n",
-       "max           66.000000           4.00000        5.000000  5.443630e+07   \n",
-       "\n",
-       "       Resigned  \n",
-       "count  500.0000  \n",
-       "mean     0.1000  \n",
-       "std      0.3003  \n",
-       "min      0.0000  \n",
-       "25%      0.0000  \n",
-       "50%      0.0000  \n",
-       "75%      0.0000  \n",
-       "max      1.0000  "
-      ]
-     },
-     "execution_count": 5,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Describe the new df\n",
-    "pred_df.describe()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "ee3b8be1",
-   "metadata": {},
-   "source": [
-    "## First Takeaway\n",
-    "- min 1 max 5\n",
-    "- mean stayed close to 3 indicating normality in the data"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "id": "fccbbca9",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 1080x720 with 18 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# Making BOXPLOTS to see if there's outlier\n",
-    "# Create a figure and axes for subplots\n",
-    "fig, axes = plt.subplots(nrows=3, ncols=len(pred_df.columns) // 3 + (len(pred_df.columns) % 3 > 0), figsize=(15, 10))\n",
-    "\n",
-    "# Flatten the axes array to easily iterate over\n",
-    "axes = axes.flatten()\n",
-    "\n",
-    "# Loop through each column and create a boxplot\n",
-    "for i, col in enumerate(pred_df.columns):\n",
-    "    pred_df.boxplot(column=col, ax=axes[i])\n",
-    "    axes[i].set_title(col)\n",
-    "\n",
-    "# Adjust layout\n",
-    "plt.tight_layout()\n",
-    "\n",
-    "# Show the plot\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "id": "45fb2a76",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import seaborn as sns\n",
-    "from scipy.stats import norm"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "id": "178492fc",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 1080x720 with 12 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# Making HISTOGRAM and comparing with normal distirbution's bell curve\n",
-    "# Create a figure and axes for subplots\n",
-    "fig, axes = plt.subplots(nrows=2, ncols=6, figsize=(15, 10))\n",
-    "\n",
-    "# Flatten the axes array to easily iterate over\n",
-    "axes = axes.flatten()\n",
-    "\n",
-    "# Loop through each column and create a histogram\n",
-    "for i, col in enumerate(pred_df.columns[:12]):\n",
-    "    # Plot histogram\n",
-    "    pred_df[col].hist(ax=axes[i], bins=[1, 2, 3, 4, 5, 6], alpha=0.5, edgecolor='black', density=True)  # Adjust the number of bins as needed\n",
-    "    axes[i].set_title(col)\n",
-    "    axes[i].set_xlabel('Value')\n",
-    "    axes[i].set_ylabel('Density')\n",
-    "\n",
-    "    # Add normal distribution curve\n",
-    "    mu, std = norm.fit(pred_df[col])\n",
-    "    xmin, xmax = axes[i].get_xlim()\n",
-    "    x = np.linspace(xmin, xmax, 100)\n",
-    "    p = norm.pdf(x, mu, std)\n",
-    "    axes[i].plot(x, p, 'k', linewidth=2, alpha=0.3)\n",
-    "\n",
-    "# Adjust layout\n",
-    "plt.tight_layout()\n",
-    "\n",
-    "# Show the plot\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "id": "6496f677",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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J11Bvr+8A97nxlHBu76y0YAmM+LsLZwxg+AwEQZw349+JSKF7d/RjOJnpSER0oorAPwFFOEVkqt0D9n3An+N0J484USIiJSLyKRG5xD3wyoEPcfak+HngHvdusIhIvojcIiLzVndX1S6csZ9fxrkgne+i4Qs4VbuvcPd9ifs3fQEYFKdQY677obRNbL7zVPF15jnhcPZuWRcQEKcI7gWndhSnyN4l7peQQZzjdK6TFACqOoBT+O//E5Gb3AvK1TiJt2YW2DVWnOKHt7ifCT435q3A8xGc3Obznzh3yt/P/AnAF3AuzD/tHpc5InKNu+x+4E9FZKsb4zIR+a2FvC6TdP6Z6F7QbRWRd7kXdPdx7gXdUt5f0f7c/yvg9SLyf0Sk2o3nEhH5ujizMHwHuEVE3iwimcAfua/9WZxkZgDnAjNDRN6FMzQrZMHnPxM94kwL/HrguyKyH6f3Wqin3rtE5NAcj0fd5Zfg9BRYjtMb4k0icl2cQv8bnPH3uMnnG3GGQrXi9EwK1XAC+CKwRZwePg9dYJ9DOLVYnheREZxrtEM472dwzmmX49Tg+Ann3nyb7Y9xkuNDOO/xSKf9/iqwHRs+Yjzmfs/4Gk79lttwehF14SSd/wTne7MP5/hoxenZdT3nF6tFVbtxajP9A06Pvi04wy4jnaL4gzjXrkeAPpyab6FegZ/HqcnxKs7w+gsdl6lJE6AQR6o/mKfIEU6RMsUp2lmC8wUsdKD8JeBz17uTWUX/3O0ucX9+HU7viD6cuhHnLHd//woRFHTCuUv0TZyDcgQnM35bJK9n1jr5OCelBpyL2XZ3v3Vh69zk7r8f5wvTd4HCi/zN7nBf25/Men4vYYVMcboyH3fbPgRc5j5f68bR7v69nrvYa7FHYj84t+jgVTj1InrdY+knwEp32Udwkn39OBdK3+JsUb09uEUsw/b7h+6+R3ASEP8zwnjuct9zY257/wGUhC0/73ieZz/vAn7lvk8HcYop3hm2fBlOl91mnIvLV4DbL9YGzrCYXiAr7LlzXr/7OfAQzkm3G/dzxV12hxvLIM5n1Ze8fg/YI3qPuT573ffZ9+Y7vnAuqp5034f97ufxFnfbc96LOJ/7r7nr/pu7Xfhn97zvLy5yXiPKn/vARpzzUo8b76s4F7Z+d/lv4FxcDrivY2vYtrvcY3II54vct2fFOu/5zx4xeV+vxi3iiXOjpm2R+/kTws4FONdqH/f69SXzA7gOOIN7zWsPe6TiAyfx0Qq80etYUuERmsXCGGOMMcaYlOP2hvuxqm5zf38W+CdV/a7by+5SVX01gv28F6cWxU04QxB/hlOs9UcxCz6Fub2XvgW8qqp/43U8xkSTODXLnse5ofUnODfS1qoNlVoyG0JijDHGGGNSkoh8E2dYz0YRaRaRu3CG0d0lIq/iFIG+LcLd/RdOsdiDOD1yXk305IWIrBSR4XkenhX/E6deRz9OD65/9ioOY2LodTifF904tdTeacmL6LAeGGlGRO7n7JRV4b6uqvcsYn/D8yy6WVWfXuj+jElk7sXekXkWb1FnaseF7O/PcMZYzva0qt680PiMMZETkZ9y7lTKIX+vqn8f73iMMcYYc3GWwDDGGGOMMcYYY0zCm2uavLRRXl6uq1evXvB2IyMj5OfnRz+gKEjk2CCx44tHbC+99FK3qlbEtBGPLOZ4SoT3g9cxeN1+IsSw2PZT9XhK1nNTurefCDHYsXSu4uJiveSSS7wOI6q8fo/FQiq9plQ9lpL1vJQIMXjdfiLEEPVzk9dVRL18XHHFFboYv/zlLxe1XTwkcmyqiR1fPGIDXtQEeO/H4rGY4ykR3g9ex+B1+4kQw2LbT9XjKVnPTenefiLEYMfSuY8NGzYs6u+RyLx+j8VCKr2mVD2WkvW8lAgxeN1+IsQQ7XOTFfE0xhhjjDHGGGNMwrMEhjHGGGOMMcYYYxKeJTCMMcYYY4wxxhiT8CyBYYwxxhhjjDHGmIRnCQxjjDHGGGOMMcYkPEtgGGOMMcYYY4wxJuFZAsMYY4wxxhhjjDEJzxIYxhhjjDHGGGOMSXiWwDDGGGOMMcYYY0zCswSGMcYYY4wxxhhjEp4lMIwxxhhjjDHGGJPwMrwOwCQfVeXUqVMcP36c/v5+RITa2lq2bNlCZWWl1+EZY4xJExMTE5w8eZLGxkaee+452traKCoqYsWKFaxfv57c3FyvQzQppK2tjX379rFp0yY2bNjgdTjGGJOWLIFhFqS1tZWf/OQntLS0nPP8a6+9xpNPPsn27du56aabyMvL8yhCY0y0/NXf/wPN7d0xb+fNr78i5m2Y1DI+Ps7TTz/Niy++yMTEBABnzpzB53M6lu7bt4+MjAwuv/xyrrvuOgoKCrwM16SAF198kR//+McAHD9+nI997GP4/X6PozImsbW2d3DXfR+PeTvLq8v51J/Fvh2TGCyBYSJ24MABfvjDHxIMBiksLOTyyy+nrq6Oqakp6uvr2b9/PwcOHKCpqYn3ve991hvDmCTX3N7Ntls/HPN2ptr3xbwNkzpOnDjBww8/zNDQEMBMb4tTp05x9dVX09vby6lTp6ivr+eFF17g4MGDvO1tb2P79u0eR26SxVzJ28OvvsTE+Dh+v59gMMiv9x+lpKx8Se3Yly6T6qamAnG5jjj0oy/EvA2TOCyBYSLyyiuv8MMf/hCA3bt3c8MNN5CVlTWzfOvWrVx77bV897vfpbW1la985St86EMforx8aSd3Y4wxBpzhi8888wy/+MUvUFVWrFjBTTfdRF1dHQDT09Ns3rwZgGuuuYbOzk4effRRTp06xfe+9z3a2tp4y1veMtNLw5j5zE7ejgz209w3RmZ2NpdcehVH9z1FTvVytt34G0tqx750GWPMwtlZ3FzUiRMn+NGPfgTAjTfeyC233HJO8iKkpKSE3/3d32X9+vWMjo7y4IMPMjw8HO9wjTHGpBhV5fHHH+eJJ54A4E1vehMf+tCHZpIXc6msrOQDH/gAt9xyCz6fj2effZaHH36Y6enpeIVtUkR36xkAymtWUrtuE/6MDHramxkdGvA4MmOMST/WA8Nc0ODgIN///veZnp7mDW94A69//esvuH5mZibvec97+NrXvkZTUxPf//73ueOOOxCROEVsjDEm1fzyl7/k2Wefxe/38+53v5stW7ZEtJ2IsHv3bsrLy/nmN7/J/v378fl83HrrrXE9L1k9meTW3dIAQHndKjKzsimrWUFn02n6u9vJK1zmbXDGGJNmLIFh5jU9Pc33v/99xsbGWL9+PW9605si2i6UxLj//vupr6/nV7/6Fddee22MozWzichNwL8AfuALqvrpWctvA/4WmAYCwEdV9Rl3WQMwBASBgKruimPoxhgz4+WXX+app57C5/Pxnve8h40bNy54H2vWrOH9738/X//613n55ZcpLS2N63nJ6skkr2AwQG+HU7i8vHYlAIUl5XQ2nWa4rwfWeBmdMcakHxtCYub18ssv09DQQEFBAe985zsXdLeqsLCQd77znQDs3buX3t7eGEVp5iIifuCzwM3AFuB9IjL7luUTwA5V3Ql8CJg9GPeNqrrTkhfGGK80Nzfzk5/8BIBbbrllUcmLkFWrVvHud78bEeHnP/85r732WrTCNClsuL+HYCBAQXEp2bn5ABSVVgAw2NvlZWjGGJOWYprAEJGbROS4iJwUkU/OsVxE5F/d5QdE5HL3+RUi8ksROSoih0XkD8K2KRWRx0XkhPtvSdiyP3X3dVxE3hrL15bqRkZGZsYa33zzzeTn5y94H+vXr2fHjh0EAgF+8pOfoKrRDtPM70rgpKrWq+ok8C3gtvAVVHVYz/6n5AP2H2SMSRhjY2N897vfJRgMctVVV3HFFUsfHrFp06aZ3oQPPfQQg4ODS96nSW0jA30AFCybudyksMQpUD7UF/thQcYYY84VsyEkYXeAbwCagX0i8rCqHglb7WZgvfu4Cvic+28A+CNVfVlECoGXRORxd9tPAk+o6qfdpMgngU+4d5dvB7YCtcDPRWSDqgZj9RpT2S9+8QvGxsZYt25dxGON53LjjTfy2muvcerUKU6cOBHFCM1F1AFNYb834xxb5xCR3wD+N1AJ3BK2SIHHRESB/1DVB+ZqRETuBu4GqKqqYu/evQsKcnh4eMHbRJvXMXjd/oViuG73DnLHT8e8fX9+rud/A5N4HnnkEQYGBqirq+PGG2+M2n6vvfZaGhsbOXnyJD/4wQ/44Ac/aHWazLxCCYz8ZaUzz+UWFJGRmcXE2CgTYyMzPTOMMcbEXixrYMzcAQYQkdAd4PAExm3A19y7wM+JSLGI1KhqG9AGoKpDInIU5wvZEXebPe72XwX2Ap9wn/+Wqk4Ap0XkpBvDr2P4GlNST08Pr7zyCj6fj5tvvnlJF3b5+flcd911PProo/z85z9n06ZNUYzUXMBc/2nn9bBQ1R8APxCR63DqYbzFXXSNqraKSCXwuIgcU9Wn5tj+AeABgF27dumePXsWFOTevXtZ6DbR5nUMXrd/oRjuuu/jcRm3X9q/j3e/6/z2zcK0tndw130fj3k7y6vL+dSfxbad3//oH/HrXz+Hz+dj8/adPHfwTy+6zXW7d0T8+qemJjl2cD+52b9i69at7NplI+XM3IZnEhhne2CICEWl5fR2tDLY201FnSUwjDEmXmKZwIjkDvBc69ThJi8ARGQ1cBnwvPtUlZvgQFXb3C9YoX09N8e+zrHUO8aQGHdM5xON2J588klOnz7N+vXrOXTo0JJjCgaDdHV10dDQQDAYxOdLzNIrifz/ugjNwIqw35cDrfOtrKpPicg6ESlX1W5VbXWf7xSRH+AkA89LYBhjEsfUVCAuCadDP5pdLie6xsfHefHFl6jccDmbr7yeVZsujWi73PHTC3r9NZef4LEv/D2PPfYYGzZsoKioaLEhmxQ2MugOISkqOef5whIngTHU10VF3SovQjPGmLQUywRGJHeAL7iOiBQA38OZHeFiA1UjveO8pDvGkBh3TOez1Ni6urrYu3cv69at495772XZsuhMD1ZWVsZDDz3EyZMn+chHPpKQSYxE/n9dhH3AehFZA7TgDK/67fAVROQS4JSqqlt/JgvoEZF8wOf2fsoHbgT+Jr7hG2PS1S9/+UumpqYorqhm5cbtMWunatUlFJeUMjk5yWOPPcZv/uZvxqwtk5ymp6cZHewHIK+o+JxloToYw/1WpNwYY+Iplt8iI7kDPO86IpKJk7z4hqp+P2ydDhGpcdepAToX0J65iF/96lcAXHbZZVFLXgBs376d4uJiBgYGOHbsWNT2a+amqgHgXuBR4CjwHVU9LCL3iMg97mrvBg6JyH6cejXvdYdzVQHPiMirwAvAT1T1Z3F/EcaYtNPR0cELL7yAAFuu2hPT2hQiQt2qNWRmZnLo0CFOn459vReTXMaGB5ienia3oJCMzKxzluUVOtdIo0MDXoRmjDFpK5YJjJk7wCKShXMH+OFZ6zwMfNCdjeRqYMAdFiLAF4Gjqvr/5tjmd9yffwf4Ydjzt4tItnvXeT3Oly8TocHBQQ4ePIiI8PrXvz6q+/b7/TP7fOaZZ2xGkjhQ1UdUdYOqrlPVv3Ofu19V73d//oyqbnWnSn2dqj7jPl+vqjvcx9bQtsYYE2uPPfYYqkp5Vc3MVJWxlJ2dwxve8AYAHn30UTs3mXOEelfkzxo+Ak4hT4DxkaG4xmSMMekuZgmMCO8APwLUAyeBzwO/7z5/DXAH8CYR2e8+3uYu+zRwg4icwJnh5NNue4eB7+AU+vwZ8BGbgWRhnn/+eYLBIFu3bqW0tPTiGyzQZZddRnZ2Nq2trTQ1NV18A2OMMWnj5MmTnDp1ipycHGrqVlx8gyh53eteR1FREe3t7Rw4cCBu7ZrEF6p/EV7AMyQ7rwDxCeOjIwSDgXiHZowxaSuWNTBQ1UdwkhThz90f9rMCH5lju2eYu6YFqtoDvHmeZX8H2N3iRZiamuLll18G4Oqrr45JG5mZmWzYsIGhoSGef/55Vq5cGZN2jDHGJBdV5ec//zkAb3jDGzjR+sOLbBE9mZmZvOlNb+Khhx7iF7/4BVu3biUjI6aXRyZJhIaH5M+qfwHg8/nIyStgbHiI8ZGhOXtpGGOMib7Eq6RoPHHo0CHGxsaora2lru68yVuiZtOmTfh8Po4ePcrg4MXqshpjjEkHR48epb29ncLCQq66avaEZbF36aWXUllZycDAwEwy35jxkWEAcvIL51weGkYyNmzDSIwxJl4sgWEA2LdvHwBXXnllTIum5efns2nTJqanp+0i0RhjDKo6M4X1dddd50nvB5/PNzML1TPPPEMgYEMCDIyPugmMvII5l+fmhxIYdkPGGGPixRIYhvb2dlpbW8nNzWXbtm0xb2/Xrl0AvPLKK0xPT8e8PWOMMYnr6NGjdHZ2smzZMi677DLP4ti8eTNVVVUMDg5agt0AkfTAcJ4fs0KexhgTN5bAMLzyyiuAM9VpPO58rVmzhpKSEgYGBmzaOmOMSWOqyjPPPAPANddc42ntCRHh+uuvB+DZZ58lGLQ64OlsanKCwNQk/owMMrOy51zn7BAS64FhjDHxYgmMNBcIBGaqrsfrzpeIsHPnTgC7y2WMMWmsvr6e1tZW8vPzPe19EbJ582bKy8vp7+/n8OHDXodjPBTe+2K+obW5bs8MS2AYY0z8WAIjzR0/fpyxsTGqq6upqamJW7s7d+5ERDh27Bjj4+Nxa9cYY0zi+NWvfgU4U5lmZmZ6HI2TYL/mmmsApxaGM1maSUfjo86wkPnqX8DZHhjjNoTEGGPixhIYae7gwYMAMz0i4mXZsmWsXr2aYDDIkSNH4tq2McYY73V0dFBfX09WVtZMbaREsH37dgoLC+ns7KS+vt7rcIxHQj0wcvPnT2Bk5xUgPmF8dIRg0Aq/GmNMPFgCI42NjY1x4sQJRCQuxTtnu/TSSwFmhrAYY4xJH7/+9a8BZ/hiTk6Ox9GclZGRwe7duwF47rnnPI7GeCU0A0n2BXpg+Hw+cnKd5ROjI3GJyxhj0p0lMNLYkSNHCAaDrF27loKC+U/QsbJ582YyMjJobGxkcNDGjxpjEpOI3CQix0XkpIh8co7l7xeRA+7jWRHZEbasQUQOish+EXkxvpEnruHhYQ4ePIiIcNVVV3kdznl27dpFRkYGJ06coLu72+twjAfO9sCYewaSkOy8fAAmxiyBYYwx8WAJjDQWGj6yfft2T9rPyclhw4YNqCqHDh3yJAZjjLkQEfEDnwVuBrYA7xORLbNWOw1cr6qXAn8LPDBr+RtVdaeqJs44CY+9/PLLBINBNmzYQGlpqdfhnCcvL48dO5w81L59+zyOxnghkh4YANk5eQBMjI3GPCZjjDGWwEhbw8PDNDY24vf72bRpk2dxhIauWB0MY0yCuhI4qar1qjoJfAu4LXwFVX1WVfvcX58Dlsc5xqQyPT3Niy86nVGuvPJKj6OZX2gYyf79+5mcnPQ4GhNvocKcFyriCZCV6yYwbAiJMcbEhXcTrhtPHT16FFXlkksu8XTs8fr168nMzKS5uZmBgQGWLVvmWSzGGDOHOqAp7Pdm4EJjHu4Cfhr2uwKPiYgC/6Gqs3tnACAidwN3A1RVVbF3794FB1qQn0vu+OkFb7dQpbt3zBnf8PBwRHE3NjZy4MABioqKOHPmDE1NTeetc93uHQt+LZnTE9QtcJv5XkvI6OgoDQ0NfPnLX2bjxo0X3d98f4PFvJ7F8OfnLuq9Y86lqjM9MCIeQjJuPTCMMSYeLIGRpkI9HrZsmd0TOr4yMzPZsGEDhw8f5siRI7zuda/zNB5jjJlF5nhuzrk1ReSNOAmMa8OevkZVW0WkEnhcRI6p6lPn7dBJbDwAsGvXLt2zZ8+CA/3qg9+gtzr2BZkP7XuCL97x/vOe37t3L5HE/fWvf53Vq1dz0003cfXVV8+5zl33fZxtt354QXHVjZ+mJWfNgraZ77WElJWV8b3vfY/p6Wmuv/56ROZ6O5w1399gMa9nMUr79/Hud53fvlmYYDBIMBAgIzOTjKysC647M4TEemCYJOQOk3wRaFHVt3sdjzGRsCEkaWhkZISGhgb8fn9Ed5RibevWrQAcPnzY40iMMeY8zcCKsN+XA62zVxKRS4EvALepak/oeVVtdf/tBH6AMyQlbfX19XHq1CkyMjJmakwkss2bN5OXl0dHRwetref9t5sUFZhyhgxlucmJC7EinibJ/QFw1OsgjFkIS2CkoePHj6OqrF27NiGmrrvkkkvIyMigubmZoaEhr8Mxxphw+4D1IrJGRLKA24GHw1cQkZXA94E7VPW1sOfzRaQw9DNwI5DWFYtfeeUVVJUtW7aQm5vrdTgXlZGRwc6dOwF46aWXvA3GxE1gagqA7NwIEhihGhiWwDBJRkSWA7fgJN+NSRo2hCQNHTt2DMDT4p3hsrKyWLduHcePH+f48ePs2mWF+o0xiUFVAyJyL/Ao4Ae+pKqHReQed/n9wF8CZcC/u0MMAu6MI1XAD9znMoD/VNWfefAyEsL09DSvvPIKAFdccYXH0UTu8ssv59lnn+XQoUO89a1vJTs72+uQ0paI/CHwYZxhXAeB31XV8Wi3MzU1Bb6syHpg5IZ6YFgNDJN0/hn4ODBnoZdUqM0EkddnihWv20+EGKLdviUw0szk5CT19fWISEIMHwnZtGkTx48f59ixY5bAMMYkFFV9BHhk1nP3h/38YZwvVbO3qwcSf5xEnJw6dYqhoSHKyspYuXKl1+FErLy8nFWrVtHY2MiRI0e47LLLvA4pLYlIHXAfsEVVx0TkOzg9or4S7bampiYhOz+iHhhZOXmICFMT40xPT+PzWedmk/hE5O1Ap6q+JCJ75lonFWozQeT1mWLF6/YTIYZot2+fsmnm5MmTBAIB6urqKCi48NRg8bRhwwZEhNOnTzMxMeF1OMYYY6Is1Pti586dFy2GmWhCw0j279/vaRyGDCBXRDKAPOaoRxMNoSEkWTkXH+bk8/nIyslFVZm0XhgmeVwDvENEGnCmB3+TiHzd25CMiYz1wEgzx48fBxJn+EhIfn4+K1eupLGxkZMnT84U9jTGGJP8RkdHOX78OCKSFMU7Z9u6dSs//elPaWxspLe3l9LSUq9DSjuq2iIi/wicAcaAx1T1sdnrhXd7r6ioWFS35Y2r62hp72S5rz+iqXmrMsboD/RR0n+MUn9ZxO1cbBrfuXjdFTwWUvE1JTpV/VPgTwHcHhh/rKof8DImYyJlCYw0Mj09zYkTJwASavhIyIYNG2hsbOS1116zBIYxxqSQQ4cOEQwGWb9+PUVFRV6Hs2BZWVls2bKF/fv3s3//ft70pjd5HVLaEZES4DZgDdAPfFdEPqCq59w1Du/2vnHjxkV1e//r//2PZFeuYWDZJRFNzTtWtJLBIaVxupSxBUzle7FpfOfidVfwWEjF12SMiR0bQpJGWlpaGB0dpaSkhPLycq/DOc+GDRsAOHHiBNPT0x5HY4wxJlpeffVVgKTsfRESGkZy4MABVNXbYNLTW4DTqtqlqlM4M/+8PhYNnR1CcvEaGBA+E4kNITHJR1X3qurbvY7DmEhZAiONvPaaM7tfqN5EoikvL6ekpITR0VFaW2MyrNUYY0ycdXd309LSQnZ2dkL2/ovUqlWrWLZsGf39/Zw5c8brcNLRGeBqEckT5yLmzcDRWDQ0tYBpVJ31QjOR2FSqxhgTa5bASCOh4SPr16/3OJK5ichML4xQrQ5jjDHJ7cCBAwBs2bKFzMxMj6NZPBFh+/btwNnXZOJHVZ8H/gt4GWcKVR/uUJEot0NgahKIPIER6qkxOT4W7XCMMcbMYgmMNDE4OEh7eztZWVmsXr3a63DmFUqunDx50uNIjDHGLJWqcvDgQQAuvfRSj6NZutBrOHz4MIFAwONo0o+q/pWqblLVbap6h6pGfdqyiYkJplXJyMzEnxFZwi00W8nkuA0hMcaYWItpAkNEbhKR4yJyUkQ+OcdyEZF/dZcfEJHLw5Z9SUQ6ReTQrG2+LSL73UeDiOx3n18tImNhy+6P5WtLNqGEwJo1a8jISNzaratXryYzM5O2tjaGh4e9DscYY8wStLS00NfXR2FhIatWrfI6nCWrrKykurqa8fHxmV6NJrWErj0irX/hrOsmMCbGYxKTMcaYs2KWwBARP/BZ4GZgC/A+Edkya7WbgfXu427gc2HLvgLcNHu/qvpeVd2pqjuB7+EUcQo5FVqmqvdE67WkglOnTgFwySWXeBzJhWVkZMz0EAnFbIwxJjmFel9s27YNny81On2GhpEcOnToImuaZBRKYEQ6fATCe2DYEBJjjIm1WF5NXAmcVNV6VZ0EvoUz/VW424CvqeM5oFhEagBU9Smgd76duwWc3gN8MybRp5Dp6emkSWDA2RhtGIkxxiSv6enpmS/5oS/9qWDbtm2AUxh7cnLS42hMtI2MOIU4F9IDIzM7B7AEhjHGxEMsxxLUAU1hvzcDV0WwTh3QFsH+3wB0qGp4H841IvIKMAj8hao+PXsjEbkbp7cHVVVV7N27N4KmzjU8PLyo7eJhrtg6Ozs5duwYRUVFM1PZeSWSv93AwAANDQ20tbVRUlISt7t2ifz/uhgichPwL4Af+IKqfnrW8tuAvwWmgQDwUVV9JpJtjTHmYk6fPs3IyAilpaXU1NR4HU7ULFu2jJUrV3LmzBmOHTuWErU9zFmL6oGR7fTAmJoYR1UTcqY3Y4xJFbFMYMz16T174vRI1pnP+zi390UbsFJVe0TkCuAhEdmqqoPn7Fz1Adyq1bt27dI9e/ZE2NxZe/fuZTHbxcNcsf3yl79k9erVXHnllZ7HHcnfTlVpaGigr6+PjRs3UldXlzCxJYuwIVw34CQG94nIw6p6JGy1J4CHVVVF5FLgO8CmCLc1xpgLOnz4MOD0WEi1L3Tbtm3jzJkzHDp0yBIYKWZ01CnEGRoWEgmf309mVjZTkxNMTYwvaFtjjDELE8tb283AirDflwOti1jnPCKSAbwL+HboOVWdUNUe9+eXgFPAhkVFnmKSafgIOFPVrVu3DrA6GEtw0SFcqjqsqqGEYT5nk4eRDP8yxph5BYNBjh49CpwdcpFKtmzZgohw6tQpxsetcGMqCSUwMrMXloSwOhjGGBMfsUxg7APWi8gaEckCbgcenrXOw8AH3dlIrgYGVDWS4SNvAY6panPoCRGpcO8cIyJrcQqD1kfjhSSz8fFxWlpa8Pl8SVUBfu3atQDU16f9f+FizTc86xwi8hsicgz4CfChhWxrjDHzOX36NGNjY1RUVFBRUeF1OFFXUFDA6tWrCQaDHD9+3OtwTBTN1MBw61pEyqZSNcaY+IjZEBJVDYjIvcCjOOPov6Sqh0XkHnf5/cAjwNuAk8Ao8Luh7UXkm8AeoFxEmoG/UtUvuotv5/zindcBfyMiASAI3KOq8xYBTRenT59GVVm5ciXZ2dlehxOxNWvWICI0NTUxOTlJVlaW1yElm4iGZ6nqD4AfiMh1OPUw3hLptrD0mjKJUHfE6xi8bv9CMVy3ewe546dj3r4/P9fzv4GJrtDwka1bt6bc8JGQrVu3cvr0aQ4fPsyOHTu8DsdEyWKGkMDZOhg2laoxxsRWLGtgoKqP4CQpwp+7P+xnBT4yz7bvu8B+75zjue/hTKtqwoR6MIR6NCSL3NxcamtraWlpobGxkfXr13sdUrJZ0PAsVX1KRNaJSPlCtl1qTZlEqDvidQxet3+hGO667+Nsu/XDMW+/tH8f737X+e2b5BQMBjl27BjgfMlPVZs3b+YnP/nJzDCSnJyF3bE3iensEBLrgWGMMYkopgkM471QDYkLJTD+6u//geb27pjHsry6nDe+/sqI11+3bh0tLS2cOnXKEhgLNzOEC2jB6bX02+EriMglwCm3iOflQBbQA/RfbFtjjJlPQ0ND0gwfeWX/fu667+OL3v7E0UMMDQ7w0pFTlFVUct3uHXPub//BQ2y7dSmRmnhZbA+MzBzrgWGMMfFgCYwUNjAwQG9vL9nZ2RecyaO5vTsud1kP/egLC1p/7dq1PPXUU5w+Hfsu7KkmwiFc78apQTMFjAHvdXtFzbmtJy/EGJN0jhxxJizasmWLx5Fc3NhkYEnnv8L1Bzj6wpMUrVjLtjfeQu746Tn39+wL9ywlTBMnqhqFHhhWxNMYY2LJEhgpLDR8ZPXq1fh8sazXGhvLly8nIyODjo4ORkZGyM/P9zqkpBLBEK7PAJ+JdFtjjLmY6enpmeEjmzdv9jia2KtauZZj+56iu7WRwNSk1+GYJZqYmGB6ehq/34/fv7BL5FDRzylLYBhjTEwl37daE7FQz4Vkq38RkpGRwcqVKwGsF4YxxiSBM2fOMDIyQmlpKVVVVV6HE3M5eQUUV1QTDAbpam7wOhyzRKHeFxkZmQveNisnD7AeGMYYE2uWwEhRqjrzpX/NmjUeR7N4oeSLJTCMMSbxHT16FHB6X6Tq7COzVa1cB0Bnk037nezOJjAW3kE51APDingaY0xsWQIjRfX09DA0NER+fn7CF1G7kFDyJTQcxhhjTGJS1bQaPhISSmB0tTQSDAY9jsYsxcjICAAZmUvogWFFPI0xJqYsgZGiwntfJPNdsJqaGnJycujr62NgYMDrcIwxxsyjp6eHgYEBCgsLL1g4OtXkFhRRVFpOYGqSzo52r8MxSxDqgeFfRA+MTHca3cmJMZx62MYYY2LBEhgpKhWGjwD4fD5WrVoFOFPzGWOMSUyNjY0AbNq0KakT54tR6fbCaGk643EkZimWUgPD788gIzMTnVYr6GqMMTFkCYwUpKozX/ZXr17taSzREHoNVgfDGGMS15kzzpf3TZs2eRxJ/FWtcOo1tbY0Mz097XE0ZrGWksCAs1OvWiFPY4yJHUtgpKCuri5GR0cpLCyktLTU63CWLJTAsB4YxhiTmELDR3JyclIicb5QBcVl5BUWMTE+zkC3DSNJVjMJjEXUwADIzHKnUp2ciFpMxhhjzmUJjBQU+qKf7PUvQqqrq8nNzaW/v5/+/n6vwzHGGDPL8ePHAVi/fj1+v9/jaOJPRKhY7gzZ7DxjRaeT1VJmIQHIcutgTE1YDwxjjIkVS2CkoFQaPgLOhWGoDoYNIzHGmMQTmn0kHYePhISGkXQ2n7Yijkkqaj0wbCYSY4yJmcWlmE3CSrX6FyGrV6/m2LFjNDY2ctlll11w3b/6+3+gub17wW1ct3sHd9338YjXX15dzqf+LPL1jTEmFY2MjNDU1ITP5+OSSy7xOhzPFFfWkpWdTfdgPyMDfRQUJ/8QznQzM43qIntgZObkAjaVqjHGxJIlMFJMf38/o6OjFBUVUVJS4nU4UbOQmUia27vZduuHF9xG7vjpBW136EdfWHAbxiyUqjI56VS0z8rKSolhYSa5vbJ//znJ3p6uDhrrT3LlZZfy+3/yP6PSxv6Dh9h2a1R2FTc+n4+a2jq6m/robK63BEYSGhtzhn4sZhpVgMysbMB6YBhjTCxZAiPFdHR0AM4X/kT7ovPK/v0L7uUQoqoceOkFgsEALx09TVZ29rzrJuOFrzHhenp6OHDgAKdOnaKjo4OpqSkAMjMzqaioYN26dWzbto2qqiqPIzXpaGwycE6y95W9j1CZUcSqDevJ3X5TVNp49oV7orKfeKutW87Bpj46m06zdtsur8MxCzA9Pc34uJN4WOwsJFnZTg8MS2AYY0zsWAIjxYQnMBLN2GSA3OLyRfWOAJgsqKaruYGqy95M3br5x1kn64WvMZ2dnTzxxBMzBRFDsrKyAJicnKS1tZXW1laefvpp1q5dy1ve8hZqa2u9CNcYgsEAPW3O9Km1tcvp8zger1XV1ODzHWagu4OJsVGyc/O8DslEaHx8HFUlJycHkdFF7SMz23pgGGNMrFkCI4WoKu3t7VRVVaVU/YuQ0qpaupob6OtsuWACw5hkEwwGefLJJ3nmmWeYnp4mMzOTbdu2sWXLFpYvX05urnNXb3x8nJaWFo4dO8arr75KfX09n//859m9ezc33HADmYssPGfMYvW2txCYmqKotJy8/Py0T2BkZmZRWl1Hd2sT3a2N1K3b7HVIJkKh4SOhz9vFyMy2GhjGGBNrlsBIIb29vYyNjZGfn09ZWZnX4URdSdVyAPo6Wj2OxJjoGR0d5ctf/jLNzc2ICLt37+b666+noKDgvHVzcnJYt24d69at481vfjNPPfUUzz33HC+88AINDQ28733vS6naNybxdTU7M0OFphA1ULF8Ld2tTXQ2nbYERhIJJTDy8hbfayYz22YhMcaYWLNpVFNIY2MjkJj1L6KhqLSCjMxMRgb7mRgb8TocY5asq6uLH//4xzQ3N7Ns2TLuvPNObrnlljmTF7Pl5ORw44038nu/93uUlZXR2dnJF77wBZqbm+MQuTFOr7+u5gbAEhjhKlc4f4uetjMEgwGPozGRCk2hupQeGFmWwDDGmJizBEYKCU9gpCKfz0dxRTVgvTBM8mtvb+fLX/4yo6OjrFy5krvvvntRx25NTQ133303l1xyCSMjIzz44IM0NTXFIGJjzjXc38PYyBDZuXksK6v0OpyEkZtfSGFJGYGpKTtXJZHoDCFxExiTlsAwxphYsQRGCjlzximktnLlSo8jiZ3iSqdYYV+nXRSa5NXT08ODDz7I6OgodXV13HHHHeTn5y96f9nZ2fz2b/8227dvZ2JiggcffJC2trYoRmzM+WZ6X9SlZq+/pQj1SAkNsTGJLxoJjIzMLMQnBKamrPeNMcbEiCUwUsTg4CB9fX1kZmam9NSKpZbAMEku1EtiZGSEdevW8aY3vSkqxTd9Ph+/8Ru/wbZt25icnOQb3/gGfX3pXlLRxFKn1b+YV0XdagC6WhpQVW+DMRGJRg0MESEzy4aRGGNMLFkCI0WEho9UVlbi86Xuf+uy8ip8Ph9DfT1MTU54HY4xCxIIBPj2t79Nf38/dXV1vPe978Xv90dt/6Ekxtq1axkeHuZb3/oWk5OTUdu/MSETY6MMdHfg8/koq1nhdTgJZ1l5FVk5OYwODTIyYInEZBCNGhgAWTnO9pbAMMaY2Ejdb7ppJjR8JJV7XwD4MzIpKqtEVenvsi7yJrk89thjnDlzhqKiIm6//XaysrKi3obf7+c973kP5eXldHR08MMf/tDuAJuo6249g6pSWl1HRmb038fJzufzUV67GnB6YZjEF40hJACZWdmAJTCMMSZWLIGRIkI9MFI9gQFQWlUHQF+nJTBM8jh8+DAvvPACfr+f9773vRQWFsasrZycHG6//Xays7M5fPgwL730UszaMump2/1SXu4OlTDnq6hzivJaAiM5RGMICUBWtpMAmbQEhjHGxERMExgicpOIHBeRkyLyyTmWi4j8q7v8gIhcHrbsSyLSKSKHZm3z1yLSIiL73cfbwpb9qbuv4yLy1li+tkQyNjZGZ2cnGRkZlJeXex1OzBVX1gDQb3UwTJIYGBjgRz/6EQBvfetbqauri3mb5eXlvP3tbwfgZz/7GZ2dnTFvM1VFcC57v3sOOyAiz4rIjki3TUaqSner0+uvwhIY8yqrXYn4hL7OVqang16HYy4iaj0wsq0HhjHGxFLMEhgi4gc+C9wMbAHeJyJbZq12M7DefdwNfC5s2VeAm+bZ/T+p6k738Yjb3hbgdmCru92/uzGkvNCUibW1tVEdT5+oiiucBMZAd4dV+TYJT1X54Q9/yPj4OBs3bmT37t1xa3v79u1cdtllBAIBHnroIYJB+xK1UBGey04D16vqpcDfAg8sYNukE5icYGpygvyiYvKLir0OJ2FlZedQUlGDTitT4/ZlNtFFqwZGptsDw6ZSNcaY2IhlD4wrgZOqWq+qk8C3gNtmrXMb8DV1PAcUi0gNgKo+BfQuoL3bgG+p6oSqngZOujGkvHSYPjVcVnYOhcWlBINBBnvsrrJJbC+99BL19fXk5eVx6623xn26yZtuuoni4mJaW1v51a9+Fde2U8RFz2Wq+qyqhio1Pgcsj3TbZDQ57nzRK3eHSJj5hf5Gob+ZSVzR74FhhcaNMSYWMmK47zqgKez3ZuCqCNapAy5W3OBeEfkg8CLwR+6FYx3OhePsfZ1DRO7G6e1BVVUVe/fuvegLmW14eHhR28XKY489RmdnJ+vWraOkpGTBsV23ewe547Gfq/7eO28nc3qCuii0ta7ET313HxnNL1FXdO5Fwr133k7FItpYaGylu3ck1PvAJJ7BwUEef/xxAG655RYKCgriHkN2djbveMc7+NrXvsaTTz7Jli1b0mKoWRRFci4Ldxfw04VuG41zU0F+blw+y1+/cyvBQB/bKzKoCmsvWp/vsLjP8cW0v9jzRaQxFJT7aQ/0sXv7RmrH6mOewPTn59p5aRGCwSATExOICDk5OUva18w0qtYDwxhjYiKWCYy5ztKzS+FHss5sn8Ppoqvuv/8X+FCk+1LVB3C79+7atUv37NlzkebOt3fvXhazXSwEAgGefvpp8vLy+M3f/E2ef/75Bcd2130fZ9utH45NgGEe+Mpn+NSff4KWnDVL3td03QSDp7t4rR8KZ+3vga98hrv/9v4F77Nu/PSCYju07wm+eMf7F9yOSR8/+9nPmJiYYOPGjWzZ4t3IgbVr13LZZZfxyiuv8OMf/5jf+Z3fiXtPkCQW8XlKRN6Ik8C4dqHbRuPc9NUHv0Fv9bYFb7cQ4yPD/PzpZ7nqxt9gYsWVtPjPXkYs9DP0QhbzOb6Y9hd7vog0Bq1SJov286uffIudv/VRisoqo9bWXEr79/Hud+2JaRupaNwd4pObm7vkz8bMbDeBYT0wjDEmJmI5hKQZCJ8cfjkwu+piJOucQ1U7VDWoqtPA5zk7TGTB+0oFra2tBINBKisrl9ztMZmUVNYC0N/VZlNEmoR06tQpjhw5QlZWFrfccovnCYMbbriBvLw8GhoaOHjwoKexJJmIzi0icinwBeA2Ve1ZyLbJJDSjRln1Cvz+WN4DSQ0iEjYbSaPH0Zj5RKv+BYRNo2o9MIwxJiZimcDYB6wXkTUikoVTYPPhWes8DHzQnY3kamBAVS84fCRUI8P1G0BolpKHgdtFJFtE1uAUBn0hGi8kkaVb/YuQnPxCcvIKmJqYYGSg7+IbGBNHwWCQn/7UGUVw/fXXU1RU5HFEztSAN9xwAwCPP/44k5OTHkeUNC56LhORlcD3gTtU9bWFbJtsut0v4Vb/InLlNp1qwotW/QsIS2DYLCTGGBMTMUtgqGoAuBd4FDgKfEdVD4vIPSJyj7vaI0A9TsHNzwO/H9peRL4J/BrYKCLNInKXu+gfROSgiBwA3gj8odveYeA7wBHgZ8BHVDXlS+6HZiBZsWLFRdZMLSJCcWU1AH02napJMPv27aO7u5uysjKuvvpqr8OZsXPnTurq6hgaGuLpp5/2OpykEOG57C+BMpzZr/aLyIsX2jbuLyJKpoNBetqdc44lMCJXVrMCEWGgu4PJ8TGvwzFzCCUw8vLylrwvG0JijDGxFdP+n+4Up4/Meu7+sJ8V+Mg8275vnufvuEB7fwf83aKCTUKqOpPASLceGAAlFbW0N5ykr7ONFRtiO+47GYnITcC/AH7gC6r66VnL3w98wv11GPjvqvqqu6wBGAKCQEBVd8Ur7mQ3NjbGk08+CcBb3/rWhJraWES4+eab+cIXvsCvf/1rdu3axbJly7wOK+FFcC77MDBnIaG5tk1WfZ2tBKamyMjMIje/0OtwkkZGZhaZWTmoKt1tZ6hds9HrkMwsoQTGUgt4ghXxNMaYWLMBrEmsp6eH0dFRCgsLKS4u9jqcuAv1wOjvutikNelHRPzAZ4EbcMbh7xORh1X1SNhqp4HrVbVPRG7GKSAYPkPCG1W1O25Bp4C/+vt/4Lnn99HZ3kph0TLO9IxctPbFdbt3cNd9H19QO/UnX2PtJRsWHefpk8fp6+nml79+kdXrNswbw/6Dh9h266KbMSkmNHwkKzt96i1FS2aO8zfrbrEERiKKZg8Mf2Ym4hOCgQDBYMBqxRhjTJTZp2oSC9W/WLFihecFAr1QWFJBRmYmo0MDTIyNkJ2b73VIieRK4KSq1gOIyLeA23CGWAGgqs+Grf8cToFBswT1jS34imupLKrm9be8N6IZB3LHTy94FqBn/+c9vGMJMwetGeznVw9/A1Vl1bXvJDd3aM4Ynn3hnjm2Numqu9VJYIS+jJvIZYUSGK2NqGpanrMTWTRrYIgImVk5TI6PEZicwJ9rl9rGGBNN9qmaxNJ5+AiAz+djWXk1PW1N9He1U7VyndchJZI6oCns92bO7V0x213AT8N+V+AxEVHgP9wpHs8jIncDdwNUVVWxd+/eBQU5PDy84G2iLZoxlOb6GR/sZOXqNWzOH4Hx0xfdJnN6groI1gt37523U7HAbc6RBSNrKjh5/Bg9LzxM5hteP2cMS24nQv78XM/fB+bCxkaGGOrvJSMzc2aMv4mcPyOT3PxCxkaGGOztZFlZldchmTDRHEICTh2MyfExpiYm7OaKMcZEmSUwklh4D4x0VVzhJjA62yyBca65bu/NOd+siLwRJ4FxbdjT16hqq4hUAo+LyDFVfeq8HTqJjQcAdu3apXv27FlQkHv37mWh20RbtGLo6enhY5/4cyo3XUHJrltpySmOaLu68dO05KxZUFsPfOUz3P239198xQtYdnklI409HOsYYVPvIOPLrzxvnWi0E4nS/n28+117Yt6OWbzQ8JGy6hXUH9nvbTBJSEQor11J04nDdLU0WgIjwUSzBwbYVKrGGBNLsZxG1cTQ6OgoPT09ZGZmUl1d7XU4nimucGbV7bM6GLM1A+GZreXAedO1iMilwBeA21S1J/S8qra6/3YCP8AZkmIu4Mknn0SBunWbyS8q9jqci8rOzWfVph0AHD74qsfRmETX3eokzMvr0rPHXzSEZm4JJYNM4oh6AmNmJhJLYBhjTLRZAiNJhYaP1NXVJdQsB/FWXFGNiDDY00kwMOV1OIlkH7BeRNaISBZwO/Bw+AoishL4PnCHqr4W9ny+iBSGfgZuBA7FLfIk1N3dzcGDBxER1m3f7XU4EVu99XIyMjPpaGujv6vd63BMgpoOBulpc6dPrbXpUxerrHoF4nOnU7UvtgllfNz5/4heD4zQTCQ2laoxxkSbJTCSlA0fcWRmZVNQXMr09DSDvV1eh5MwVDUA3As8ChwFvqOqh0XkHhEJVWb8S6AM+HcR2S8iL7rPVwHPiMirwAvAT1T1Z3F+CUnl6aefRlUpq6gkt6DI63AilpWdw0q3F8apAy94HI1JVP1dbQSmJikoLk2q93eiycjKoqSyFlWlt63p4huYuIl+Dwx3CIklqowxJuqsBkaSCvXASPcEBjjDSIb6eujrbKWkstbrcBKGqj4CPDLrufvDfv4wcN7UE+7MJTtiHmCK6Ovr4+DBg/h8Pqpqkm8il9Wbd9J/cC9dLY0M9HTY2HxznpnhI7U2fGSpKupW0dveQndrI9Wr13sdjnHZEBKTbkQkB3gKyMb5PvhfqvpX3kZlTGQsgbEIre0d3HXfx2PezvLqcj71Z+e3EwgEaG11yhlYAgNKKmtoeu2QdYE3nvjVr37F9PQ0O3bsoLH7116Hs2BZObmsXb+e3hNtnD70Ejuvf5vXIZkEE5o+1YaPLF157SqOv/Qs3a1nbDrVBKGqM0NIojYLiQ0hMYlvAniTqg6LSCZOz9ufqupzXgdmzMVYAmMRpqYCbLv1vBvXUXfoR1+Y8/n29nYCgQDl5eVRu1uQzEKFPPu72lCdc6INY2JiaGiIV155BRHh2muv5ce/TL4EBsCGjZt5+VQHHWfqGR7opWBZqdchmQQxPjrMYG83/owMSqqsh9tSFRSXkZOXz/joCMP9PRSWlHsdUtIRkWKc4tPbcGbX+pCqLvrDd3x8HFUlJycHny86I6ttCIlJdOpcMA+7v2a6D7uINknBEhhJKDR8ZOVK684LkFtQRHZuHhNjo4wO9Xsdjkkjzz//PMFgkM2bN1NRUeF1OIuWm5dH3brNNJ04TMORV9j2ujd7HZJJEKHinaVVdfj9dsmwVKHpVJtPHqW7tdESGIvzL8DPVPU33SLVeUvZWWj4SLR6X0B4DwxLYJjEJSJ+4CXgEuCzqvr8rOV3A3cDVFVVsXfv3gW3UZCfS+746aUHexGlu3fMG9/w8PCiYo8Wr9tPhBii3b5djSQhq39xLhGhuKKGjjOnbBiJiZuJiQlefNGpe3rNNdd4HM3Srd56Gc0nj9B66hjrd15Ndm6+1yGZBBCa8tOGj0RPee0qJ4HRcoY1W6/wOpykIiJFwHXAnQCqOglMLmWf0a5/AeE1MGwIiUlcqhoEdrq9mn4gIttU9VDY8geABwB27dqle/bsWXAbX33wG/RWb4tOwBdwaN8TfPGO98+5bO/evSwm9mjxuv1EiCHa7VsCI8moqs1AMofiimongdHZ5nUoJk28/PLLjI+Ps2rVKpYvT77inbPlF5VQuWItHWdO0XjsABsue53XIRmPTU9P093mFvCssx5/0VJaswIRoa+zlcDkJBlZWV6HlEzWAl3Al0VkB87d4z9Q1ZHQCuF3jSsqKi5616+lpYWGhgYmJiZm1r1u944l3TVepkMcCfSRNxKg7gL7udBd4/l4fSc1FlLxNSUTVe0Xkb3ATcChi6xujOcsgZFkBgYGGB4eJjc3l7KyMq/DSRjhdTCMibXp6Wmee86pc/X617/e42iiZ/WWy+g4c4qm1w6ydpvdGU53gz2dTE1MkFdYRF5hsdfhpIys7ByWlVfR39VOb0czlSvWeh1SMskALgf+h6o+LyL/AnwS+J+hFcLvGm/cuPGid40PHTrEiRMn2Lp168wdwrvu+/iSap1NyjiDGSWMTWfTkrNm/rYvcNd4Pl7fSY2FVHxNiU5EKoApN3mRC7wF+IzHYRkTkehUKzJxEz58xKqXn1VUVoHP52N4oI/p6aDX4ZgUd/ToUQYGBigrK2PDhg1ehxM1JZU1FFdUMzUxQWv9Ma/DMR6b6X1Ru8rON1EWmpI2NEWtiVgz0Bw2Vv+/cBIaixaLISQZmVmICFOTE0xPT0dtv8ZEUQ3wSxE5AOwDHlfVH3sckzERsQRGkrH6F3Pz+zMoKqtEVQnYtGUmxkK9L66++uqU+2K3evNOABqPHbBZfdLc2foXNnwk2kI1RUJT1JrIqGo70CQiG92n3gwcWco+Y5HA8Pl8ZGQ6Q4MCU0sq0WFMTKjqAVW9TFUvVdVtqvo3XsdkTKQsgZFkLIExvxJ3GIkVzTKx1NLSQlNTEzk5OezYscPrcKKucuU6cvMLGRnoY2pizOtwjEcmJ8YZ6O5AfEJpVfLXeEk0RWWVZGZnMzo0yMhgv9fhJJv/AXzDvXO8E/j7pewsFgkMsKlUjTEmViyBkUQmJyfp6OjA5/NRW1vrdTgJp7jSSWBYDwwTSy+88AIAl19+OVkpWHzP5/OxctN2AMaGBz2Oxnilt60JVaWkstaKTMaAz+ejvMaGkSyGqu5X1V3uneN3qmrfUvYXi2lUIXwqVbsmMcaYaLIERhJpaWlhenqa6urqlPzitFTLyqsAZ951G3NqYmF4eJhDhw4hIlx55ZVehxMzdeu24Pf7mRwfY2RwSd8NTJI6W//Cho/EStlMHQwbRuIl64FhjDHJxRIYSaS5uRmw4SPzyckrILegEFVlZKDX63BMCnrppZcIBoNs3LiR4uJir8OJmaycXGrWOkPMzxw74HE0Jt5Ule4WN4FRYwmMWAklh3rbmwkGAx5Hk75ilcDIyHISGNYr1BhjossSGEkkVP9i+XIbjzwfm07VxMr09DQvvfQSQEr3vghZufFSAFpOHbMidGlmuL+X8dFhsnPzKCyt8DqclJWTV0BhSRnBQID+TjtneWV83OkhEfUeGDNDSKwHhjHGRJMlMJKEqloPjAiEEhh9djFoouz48eMMDg5SXl7OmjVrvA4n5opKK8jMyiYwNUnb6de8DsfEUY87fKSsZmXKzbKTaKwOhvdiN4TETWBYYXFjjIkqS2AkiZ6eHkZHRyksLGTZsmVeh5OwSiqqAejvavc4EpNq9u3bB8Du3bvT5ktdTkERAE2vHbQpVdNIqCZDea0ly2OtvM6mU/Va7Ip4ujUwrAeGMcZElSUwkkT49Knp8uVpMQpKyhERRocGmBgb9TockyJ6enqor68nMzMzJadOnU92bh5ZOTkM9nZbUjBNBANT9HW0Ak4PDBNbxZU1+DMyGOrrYXx02Otw0s7U1BSBQAC/309mZmZU9z2TwLAeGMYYE1UxTWCIyE0iclxETorIJ+dYLiLyr+7yAyJyediyL4lIp4gcmrXN/xGRY+76PxCRYvf51SIyJiL73cf9sXxt8RYaPmL1Ly7M5/PNFM6yOhgmWkK1L7Zt2xb1u3SJTMRH3botADSfOOxxNCYeejtaCQaDLCurJDs3z+twUp7fn0FpVR0APW1NHkeTfsLrX0T75lBoCIkV8TTGmOiKWQJDRPzAZ4GbgS3A+0Rky6zVbgbWu4+7gc+FLfsKcNMcu34c2KaqlwKvAX8atuyUqu50H/dE5YUkiPAeGObCQnc9Bro7PI7EpIJAIMArr7wCwK5duzyOJv6Wr98KQHvDa0zadIApLzSUocymT42b8lp3GEmLDSOJt1jVvwAbQmKMMbESyx4YVwInVbVeVSeBbwG3zVrnNuBr6ngOKBaRGgBVfQo4by5MVX1MVUPzjT0HpHyXhPHxcTo7O/H7/dTU1HgdTsILVf62HhgmGo4cOcLY2Bg1NTXU1tZ6HU7c5RcVU167gmAwSGv9Ma/DMTEWKiZZbgmMuClza430tDcxPT3tcTTpJaYJjJkinpbAMMaYaMqI4b7rgPD+kM3AVRGsUwdE+s3zQ8C3w35fIyKvAIPAX6jq07M3EJG7cXp7UFVVxd69eyNs6qyC/Fxyx08veLuFKt29g71799LS0kJDQwMVFRU888wzF9xmeHh4wa/put074vJ67r3zdjKnJ6iLcVv33vUBnv31c0y3D1IzchKf3x/RdguNLfT/Y1Lbyy+/DMAVV1yRtvVnlq/fRndrE80nDrNq0460/TukurGRIUYG+sjIzKK4vNrrcNJGflEJuQWFjA0PMdjbRXF5ldchpY1YFfAEZoazTtkQEmOMiapYJjDmusKdXcY+knXm3rnInwMB4BvuU23ASlXtEZErgIdEZKuqDp6zc9UHgAcAdu3apXv27ImkuXN89cFv0Fu9bcHbLdSDn/+/XLZzJ23NZ2hraaKyb4TeiUcuuM11u3fwg8eeWlA7+w8e4gN/9s9LiDQyD3zlM3zqzz9BS05sp6B84D8/w+YrrmFwsJ+jY4URXwzWjZ9eUGyH9j3BF+94/2LDNEmgu7ubhoYGsrKy2L59u9fheKZy+Rqyc/MY7u+lv6udkkrrCZaKQkMYyqqXR5z4NUsnIpTXrqLptUP0tJ6xBEYcxWcIiSUwjDEmmmKZwGgGwgs2LAdaF7HOeUTkd4C3A29Wd24/VZ0AJtyfXxKRU8AG4MXFvgCvjU0G2Hbrhxl7/CGC+RXsvP5mqlddcsFtcsdPs+3WDy+onWdfSKlyIQAUV9QwMtjPQFe7XQyaRQv1vti2bRvZ2dkeR+Mdn99P3brN1B96ieYThy2BkaJ62tzhI3U2fCTeymtX0vTaIbpbG1l36W6vw0kb4UU8o82fkYnP5yMYCBAMTOHPiO4sJ8YYk65iWQNjH7BeRNaISBZwO/DwrHUeBj7ozkZyNTCgqhccPiIiNwGfAN6hqqNhz1e4hUMRkbU4hUHro/dyvDE9PT1TjLK4wrr0Rir0t7I6GGaxgsEgr776KgCXX375RdZOfXWXODWY2xtP2B3FFDQ9PU1PmzPblU2fGn9l1SsQn9Df3W7HVxzFsgeGiJytg2H/p8YYEzUxS2C4hTbvBR4FjgLfUdXDInKPiIRu+T+Ck2Q4CXwe+P3Q9iLyTeDXwEYRaRaRu9xF/wYUAo/Pmi71OuCAiLwK/Bdwj6qeVwQ02YwM9BKYmiS3oJCcvAKvw0kaxRXOHeL+rnaPIzHJ6rXXXmNkZITKykrq6uq8Dsdz+UXFlFbXEQwEaG94zetwTJQNuF+c84uKyStc5nU4aScjK4uSihp0Wultb/Y6nLQRyxoYEFYHY8ISGMYYEy2xHEKCqj6Ck6QIf+7+sJ8V+Mg8275vnufnHEOhqt8DvrfoYBNUqAdB6Au5iUxBcSmZWdmMjQwxPjJMTr4lf8zChIaPXH755Va00rX8ki30trfQfPIoKzakb02QVGSzj3ivrGYlvR2tdLc0UrVyndfhpIVY9sAAm0rVGGNiIaIeGCLyPRG5RURiOeTEzKGv0+lBYAmMhRERlrm1L5J9GIkdf/E3ODjIyZMn8fv9XHrppV6HkzCqVq4jMyubge4Ohvq6vQ5nUex4mlsogVFmCQzPhGqPdLedwS3vldIS4ViMZQ0MsKlUTXwkwrFkTDxF+kb/HPDbwAkR+bSIbIphTCZM6Mt3idW/WLBit9BgX5InMLDjL+7279+PqrJp0yby8vK8Didh+DMyqVmzAYDmk0c8jmbR7HiaZXJ8jMGeTnw+H6VVNlzKK0WllWTl5DA2PMTIYJ/X4cSD58di7HtgOAmMwNRkTPZvjMvzY8mYeIpoCImq/hz4uYgsA96HU3+iCaduxddVdSqGMaat6WCQ0aEB/BkZFJSUex1O0ilxe62EiqAmq1Q+/lrbO7jrvo/HvJ3l1eV86s8ia0dV2b9/PwCXXXZZDKNKTnWXbObM8YO0nT7OxsuvSbrpNlP5eFqsnrYmVJXS6uVkZGZ5HU7aEhHKalbSdvo1ulvPULCs1OuQYioRjsVY18DIzA7VwLAeGCZ2EuFYMiaeIq6BISJlwAeAO4BXgG8A1wK/A+yJRXDpLlS1uri8Gp/PeoUt1LKyKkSEwZ7OpJ/CLFWPv6mpwIKn/V2MQz/6QsTrnjlzht7eXoqKili7dm0Mo0pORaWVFBaXMtTfS1dLQ1KO1U/V42mxrP5F4iivXeUkMFoaWb15p9fhxJzXx2LMe2DYEBITJ14fS8bEU6Q1ML4PPA3kAbeq6jtU9duq+j8Aq44YIwG36JNNn7o4GVlZFBSXMj09zWBvl9fhLNpijz8RuUlEjovISRH55BzL3y8iB9zHsyKyI9JtU9krr7wCwI4dOyxxOAcRmZlSNRmHkdj57FyqSk+bJTASRXntCgD6OlsJBlL7pqnXx6KqztTAiFkPjMxQEU+bhcTEjtfHkjHxFmkPjC+4M4rMEJFsVZ1Q1V0xiMtw9oS3zBIYi1ZcUcNQXw/9XW2UVNZ6Hc5iLfj4ExE/8FngBqAZ2CciD6tq+DfO08D1qtonIjcDDwBXRbhtSpqcnOTIEedl7ty509tgEljNmo0cf/lXdLc2MjE2QnZuvtchLYSdz8IM9/cwPjpCTl4+BcVlXoeT9rJz8ykqrWCwt4u+zrZUTyp5eixOTEygqmRnZ+OP0VA4G0Ji4sTOayatRHp78X/N8dyvoxmIOdd0MEggbAiJWZzQ7C397mwuSWoxx9+VwElVrVfVSeBbwG3hK6jqs6oaqhT3HLA80m1T1ZEjR5icnGTlypWUldmXuflk5+ZRWbcGnVZa6497Hc5C2fksTHdrI+BM4WnTBSeG8rpVwNn/mxTm6bEY6/oXEDaExHpgmNiy85pJKxfsgSEi1UAdkCsilwGhq5sinG5KJkYG+7pRVfKXlZCVE5uxmekgNPymr6sNVU2qC/QlHn91QFPY783AVRdY/y7gp4vcNmWEinda74uLq123iY6melpPHWX1lssS/tiy89nculuc4SMV7pdm473ymhXUH3xxpjZJqkmUYzHW9S/g7CwklsAwsZAox5Ix8XaxISRvBe7EuTP7/8KeHwL+LEYxGWz61GjJK1xGVk4uk+NjjA4NkF9U7HVIC7GU42+ub5M654oib8RJYFy7iG3vBu4GqKqqYu/evRcJ61wF+bnkjp9e0DaLUbp7x7yxDQ8Ps3fvXoaGhti7dy8ZGRl0d3cv+LUAXLd7x4JfT+b0BHUL3ObeO2+nIop/t/liuFA7NWVKk3+Mye5T5LW+ROkSeqz483MX9fdeoEUfTyJyE/AvgB+nq+6nZy3fBHwZuBz4c1X9x7BlDW4bQSCQSN15A5OT9HW2IiKU1qzwOhzjKq6oISMzi+H+XsZGhsjNL/Q6pGhLiGvLUP2LmCYwbAiJia2EOJaMibcLJjBU9avAV0Xk3ar6vTjFZDibwAgNgTCLIyKUVNTQ0VRPf1d7UiUwlnj8NQPh30iWA62zVxKRS4EvADeras9CtnVjfACndga7du3SPXv2LCjIrz74DXqrty1om8U4tO8JvnjH++dctnfvXvbs2cPevXtZvXo127dv58Ybb1xUO3fd9/EFz6pSN36alpw1C9rmga98hrv/9v4FbbOYGC7WTv6Gq+k++iovtYywpW7x38tL+/fx7nftWfT2kVjs8RRhTZhe4D7gnfPs5o2q2r24yGOnt6OZ6elpiiuqycqOXTd6szA+v5+y6uV0NNXT3dLIig2x/4yMp0S5toxvDwxLYJjoS5RjyZh4u9gQkg+o6teB1SLysdnLVfX/zbGZWSJVpb/TEhjRUlxZ7SQwOlupW7fJ63AitsTjbx+wXkTWAC3A7cBvz9r/SuD7wB2q+tpCtk01qsqrr74K2PCRhahbu4nGo6/S3vAam664Fl+MCuFFwxKOp5maMO5+QjVhjoRt2wl0isgt0Y88dmamT7XhIwmnvG6lk8BoPZNyCYxEubaMRwIjI8vpgRGYnEy6Yawm8SXKsWRMvF1sCEmotLxNwRNH4yNDjI+O4PP5yF9W4nU4SW+mkKfbqyWJLPr4U9WAiNwLPIrT7f1LqnpYRO5xl98P/CVQBvy7e1EVUNVd82279JeTuM6cOUNfXx9FRUWsWbOw3hDprLC0gsLiUob6e+lqaaBq5TqvQ7qQxR5PS60Jo8BjIqLAf7i9ls6z1OFYsLAhWarK/oaXKQoMs60UyhYwJGm+oUWLGQ610DYuJFmHY82luBSaAn1MNb1KzciGiJODcRqOtVQJcW0ZjwSGz+cjIzOLwNQkU5MT1tPJRFtCHEvGxNvFhpD8h/vvp+ITjgGn4CQ4mXvL1i9dUVklPp+P4YE+piYnyHTviCS6pR5/7pRaj8x67v6wnz8MzDneYa5tU1mo98Wll16Kzxfp5ExGRKhdt5njL/2K1lPHEjqBsYTjKeKaMPO4RlVbRaQSeFxEjqnqU3PEt6ThWLCwIVkjg320T2SSVVDDaO0uxhfwvp9vaNFihkMttI0LSebhWOfJgWDZqwwO9HF4OJfSqrqINovHcKylSpRry3gkMMCpgxGYmmRqYtwSGCaqEuVYMibeIrpiEZF/EJEiEckUkSdEpFtEPhDr4NJVf5cz5Wdo7KRZGr8/g6KySmdoTlfyTadqx19sBQIBDh92Opjs2LHD42iST82aDYgInS2nmRwf8zqci1rE8RRxTZi5qGqr+28n8AOcISmeC80+Ulaz0pJ2Caq8diVAKs9G4um5LW4JDPdaLjBlM5GY2PD6WDIm3iK9arlRVQeBt+NczG0A/iRmUaW5UP2LjCTpKZAMSpJ3GAnY8RdTTU1NTExMUFtbS0VFhdfhJJ2cvALKalag00pbwwmvw4nEQo+nmZowIpKFUxPm4UgaEpF8ESkM/QzcCBxaSvDR0tXSAEB5rdW/SFSh/5vulkaPI4kZT89t8euB4RbynLAEhokZu040aSXSBEam++/bgG+qam+M4kl7gclJhvq6EZ8kzVCHZFBc6SYwOpMygWHHXwydPHkSsN4XS1HrFsdtO33c40gisqDjSVUDQKgmzFHgO6F6MqGaMiJSLSLNwMeAvxCRZhEpAqqAZ0TkVeAF4Ceq+rPYvKzIBQNT9HW0AFBea9OnJqrSqlr8fj+DvV1MjI14HU4seHpui+cQErCpVE1M2XWiSSsXK+IZ8iMROQaMAb8vIhWAfRLHwEBPB6rKstJKxLr1Rk1xRTXg/H2np6eTrcu0HX8xMjw8TGtrK2vWrGHbttSq9B9PVSvWkpGZSX9XO8MDvRQsK/U6pAtZ8PEUQT2ZdpyhJbMNAgmXGevtaCUYDFJUWkF2bv7FNzCe8GdkUlJVR3frGbpbm5JqFq0IeXpui/cQEptK1cSQXSeatBLRtzhV/STwOmCXqk4BIzjTyJkoCxXwDPUYMNGRnZtPXuEyAlNTDPd1ex3OgtjxFzuHDh1CVVm/fj35+fZFbrH8GZlUr7oEgLb6xO6FYccTdLc6QxJs+tTEV1G3GoBud8hPKvH6WIxfAiPUA8OGkJjY8PpYMibeIu2BAbAZZ57h8G2+FuV40l5/p1MbLlSzwURPcUUNo0MD9HW2UVRW6XU4C2XHXwyEzz5ilqZmzUaaTx6l9fRxLtl5daLPoJTWx1OopkKFJTASXnndStgH3W1nkrH3YCQ8OxbjPoTEemCY2Err85pJLxElMETkQWAdsB8Iuk8rdmBE1fT0NP1dHYDzZdtEV0llNa31x+jvamPV5oTr1T0vO/5io6uri7a2NrKysti4caPX4SS90url5OYXMjY8RF9na8TTPsZbuh9Po0MDjAz2k5mVzbLyaq/DMReRV1hMXmERo0ODDHR3UJJCvTO9PBanpqYIBAJkZGSQkbGQe3kLNzMLyaT1wDCxke7nNZN+Iv3U3gVsUVWNZTDpbri/h8DUJLkFheTkF3gdTsoprqgFSMapVO34i4FQ74tVq1bF/AI2HYgINWs3Un/wRVrrjyVsAoM0P5663N4XZTXLU/FufsoREcrrVnPm2AG6WxtTKoGBh8diqPdFTk5OzHuL2SwkJg7S+rxm0k+kVy+HALtVE2OhKT6t90VsFBSXkpmVzdjIEGMjQ16HsxB2/EWZqnLw4EEA1q1b53E0qaN2jdOTpaPxFMFgwONo5pXWx9PZ+hervQ3ERKy8diWQktOpenYsxmv4CJytgTE5MRbztkzaSuvzmkk/kd52LAeOiMgLwEwKWVXfEZOo0lSfO8Vnit1hSRgiQnFFNV0tjfR1tpK7JmmGDdjxF2WNjY0MDAxQXFxMVVWV1+GkjILiUpaVVTLQ00lXc8NMYc8Ek7bHUzAYoLe9GTj7pdgkvrLq5fj9fgZ6OpkYGyU7N8/rkKLFs2MxrgmMbBtCYmIubc9rJj1FmsD461gGYRz9MwmMWo8jSV0llbV0tTTS39U+c7c4Cfy11wGkmvDinQlebDLp1KzdyEBPJ231xxM1gfHXXgfglb6OVoKBAEWl5eTk2TDFZHHudKpnUmk61b/2quH49sBwEhiTE1bE08TMX3sdgDHxFOk0qk8CDUCm+/M+4OUYxpV2xkeGGRsZIiMzi/xlpV6Hk7JC09OGZntJBnb8RdfU1BRHjhwBbPaRWKhZvR7xCV0tDUyOJ16X6XQ+nrrcqTht+EjyScXpVL08FuPbAyM0jeo4VqLAxEI6n9dMeop0FpLfA+4GSnGq3NYB9wNvvsh2NwH/AviBL6jqp2ctF3f524BR4E5Vfdld9iXg7UCnqm4L26YU+DawGudgfY+q9rnL/hS4C6cC732q+mgkry8R9LlfqIsrqq2wWgwtK6vE5/Mx1NdDYHKSjKwsr0O6qMUef+asV/bv5677Pg5AX083p08eJy+/gKbeUa7bvWNm2VLtP3iIbbdGZVdJKzs3n7LqFXS3nqG98QQrNyZWkiidjyebPjV5ldetSrnpVL08FsfHnd4Q8Uhg+DMy8WdkEAwECAamyMhM/OsOk1zS+bxm0lOkQ0g+AlwJPA+gqidEpPJCG4iIH/gscAPQDOwTkYdV9UjYajcD693HVcDn3H8BvgL8G+dPAfRJ4AlV/bSIfNL9/RMisgW4HdgK1AI/F5ENqhokCfR12fCRePBnZFJUVkl/Vzt9XW3JciG/4OPPnGtsMsC2Wz8MwMu//DGVvnw2776OVZt3kDt+embZUj37wj1R2U+yq123ie7WM7TWH0+4BAZpejyNDPbb9KlJLL+omPyiYkYG+1NpOlXPjsV49sAAZxhJMDDM1OSEJTBMLKTlec2kr0hT+BOqOhn6RUQycOYXvpArgZOqWu9u+y3gtlnr3AZ8TR3PAcUiUgOgqk8BvXPs9zbgq+7PXwXeGfb8t1R1QlVPAyfdGJJCf1gPDBNbJRVJN4xkMcefmcPk+BhdLQ2IT6henZD1GVJC5fI1ZGRm0t/Vzshgv9fhzJaWx1Oo90V57cqUuHufjsrdhHtX6gwj8exYjHsCI2wYiTExkJbnNZO+Iu2B8aSI/BmQKyI3AL8P/Ogi29QBTWG/N3O2d8WF1qkD2i6w3ypVbQNQ1bawDGMd8Nwc+zqHiNyN082Kqqoq9u7de5GXcb6C/Fxyx08veLv5TE5OQtdJikXYUjhOhrvve++8nYoFtpM5PUHdArdZTDuLce+dty8qvsW0c8HXUzxNT6APWg9Qt/lswmihsZXu3rGo988iLOb4M3NobzyBTivltSvJzs33OpyUlZGZReWKdbTWH6Pt9HEu2TH7o99TaXk8Wf2L5FdRt5rGo6/S3dLAhste53U40eDZsRj/BIZTyNMSGCZG0vK8ZtJXpAmMT+LUljgI/DfgEeALF9lmrtL+s7OBkawTqYj2paoPAA8A7Nq1S/fs2bPghr764Dford528RUj1NXTyKC/mOKKajoK1s88/8BXPsPdf3v/gvZVN36alpw1C9pmMe0sxgNf+Qyf+vNPLDi+xbRzodczUVfFYMarjAxM05S5Ep/fDyz8b3do3xN88Y73LzneCCzm+DNzaK0/DjhDHExs1a7dSGv9MVrrj7Pu0isTabaXtDueAlOT9HW0ICI2fWoSK6mqxZ+RwWBvN+Mjw+TkJ/1MMp4dixs3bqSwsJCKiop4NEeWJTBMbKXdec2kt4gSGKo6LSIPAQ+paleE+24GVoT9vhyY3Wc/knVm6xCRGrf3RQ3QuYR9JYTQUIbQ0AYTW9m5eeQvK2FkoI/B3q6EH7azyOPPzDIy2E9/VzsZmZlULo9tEs1AafVysnPzGB0aYKC7I2GOs3Q8nno7WggGgywrryI7N8/rcMwi+f0ZlNWsoLPpNN2tjSxfv9XrkJbEy2Px0ksvjessVKGpVKcmLYFhoi8dz2smvV1wIKw4/lpEuoFjwHER6RKRv4xg3/uA9SKyRkSycApsPjxrnYeBD7rtXA0MhIaHXMDDwO+4P/8O8MOw528XkWwRWYNTGPSFCOL0XKiAZ3FqFOVKCqECaH0JXAdjicefmaXttNP7onLFOiuiFgc+n4+aNRsAaHX/9l5K5+Opq7kBsNlHUkHFTB2MRo8jWbx0PBbPDiGZ8DgSk0rS8VgyBi5exPOjwDXAblUtU9VSnDoW14jIH15oQ1UNAPcCjwJHge+o6mERuUdEQqX6HwHqcQpufh5nzBYAIvJN4NfARhFpFpG73EWfBm4QkRM4M5x82m3vMPAd4AjwM+AjyTADyXQwyEBXO2AzkMRTSaVTHqW/82L5Mk99lEUef+Zcqnp2+MjajR5Hkz5q1zh/6/aG15gOev5x/FHS8HhS1bMJjOWrPY3FLF2ohklP2xmCwYC3wSzeR0mzY9GKeJoY+ShpdiwZAxcfQvJB4AZV7Q49oar1IvIB4DHgny60sao+gpOkCH/u/rCfFWfqn7m2fd88z/cwz7zGqvp3wN9dKKZEM9DTSTAYpKC4lKyc+BSTMmE9MLpaUdVEGp8fbknHnzkrMDnB6NAA2bl5lFYv9zqctFFYWkFBcSnD/b10t53xeuhOWh5Pw/09jI8Ok52bR1GpzaqX7HLzCyksKWOor4e+jtZkrWmSdsdiaAjJpCUwTHSl3bFkDFy8B0Zm+EER4o6vyoxNSOmlv8vqX3ght6CInLx8JsfHGRno8zqc+djxFyUTYyMA1KzZYFNIxpGIzPTCaKv3fBhJWh5P4b0vEjRRaxaowk0EdjXHfvawGEm7Y3FmCInVwDDRlXbHkjFw8QTG5CKXmQj1drgJjCobPhJPIjIzZKevs8XjaOZlx18UTAeDTIwOA2eHNJj4CdXB6GyqJzDp6ds2LY+nTvdLboVNn5oyQv+XXS0NOB1Zk07aHYs2jaqJkUUfSyKyQkR+KSJHReSwiPxBlGMzJmYuNoRkh4gMzvG8ADkxiCetqOpMDYaSqjqPo0k/JVW1tDWcoLejlRUbtnsdzlzs+IuC7rYzTE9PU1BcSmFpfKbMM2flFhRRWlVLb0crHU2nqFu32atQ0u54mhwfY6C7A5/PR1n1iotvYJLCsvIqsnJyGB0aZGSgj4LiUq9DWqi0OxbPzkJiRTxNVC3lWAoAf6SqL4tIIfCSiDyuqkeiHqUxUXbBBIaq+uMVSDoa7u9hanKC3IJCcvMLvQ4n7YR6YCRqIU87/qKjLax4p3Wh90bNmo30drTSWn/cswRGOh5PXS2NqCplNcvJyLKZd1KFz+ejvHY1rfXH6GppSLoExlKPRRHxAy8CLar69uhEFVtWxNPEwlKOJXfWxzb35yEROQrU4UyGYExCu1gPDBNDM8NHbPYRTxQUl5GZnc3YyBBjw4N2NKSgqckJOpvqAedLtPFG9er1HH3hSXrbmxkfGSYnv8DrkNJCV0to+IinxVNNDFQudxMYzadZs/Vyr8OJtz/Amd2uyOtAIhUaQjI5MZbIhcNNmhKR1cBlwPOznr8buBugqqqKvXv3LnjfBfm55I7Hvl5P6e4d88Y3PDy8qNijxev2EyGGaLdvX9k8FKq9YAkMb4TqYHQ2nXaSSXXZXodkoqzjzCmCwSCZ2TnWy8lDmVnZVK5YQ3vjKdoajrNm6xVeh5TypoNBulvOADZ9aioqq12J+IS+rjYmJ8bJyk7JkRfnEZHlwC04M859zONwIub3Z5CRmUlgaorg1JT1iDIJQ0QKgO8BH1XVc4ajqOoDwAMAu3bt0j179ix4/1998Bv0Vm+LQqQXdmjfE3zxjvfPuWzv3r0sJvZo8br9RIgh2u1bAsMjqkqfFfD0XCiB0dfZAnVrvQ7HRFlo+EhOnt3x91rNmo20N56itd4SGPHQ19lKYGqSwuJS8gqXeR2OibLMrGxKK+voaW+mu7UxnQoU/zPwcWDejHT4XeOKiopF3fW7bveOqN81LveNMBoYoXzwOPkFzjnpQneN5+P1ndRYSMXXlAxEJBMnefENVf2+1/EYEylLYHhkdKifibFRsnPzyC8q8TqctBUqnuokkyyBkUrGRobo7WjB7/eTlZvndThpr6JuNZnZ2Qz19TDU101hSbnXIaW0mdlHltvwkVRVsXw1Pe3NdDWdTosEhoi8HehU1ZdEZM9864XfNd64ceOi7hrfdd/H2XbrhxcX6DxG82sZnOimUSpZllMFXPiu8Xy8vpMaC6n4mhKdOOOYvggcVdX/53U8xizExaZRNTHS2+4OH6mqtbGQHioqrSAjM5ORwX7GRke9DsdEUdvp46gqFctX4/OlXf3GhOPz+6letR6A1lPHPI4mtakqXZbASHmh/9vu1jNMB4MeRxMX1wDvEJEG4FvAm0Tk696GFLnM7FwApiZsJhKTEK4B7sA5jva7j7d5HZQxkbAEhkf6OkMFPG36VC/5fD6KK6oB6Orq9Dia6BKRm0TkuIicFJFPzrF8k4j8WkQmROSPZy1rEJGD7gntxfhFHR2qGjb7yCaPozEhof+LtobXmJ6e9jia1DUy0Mfo0CBZOTksK6/yOhwTI/lFxRQUlzI1OTFzTZHKVPVPVXW5qq4Gbgd+oaof8DisiGWFFfI0xmuq+oyqiqpeqqo73ccjXsdlTCQsgeGB8PoXpVb/wnOlVcsB6Ors8DiS6HGnmfsscDOwBXifiGyZtVovcB/wj/Ps5o3uCW1X7CKNjaHeLob6e8nMzqa8dpXX4RhXcUU1eYXLGB8dobe92etwUlZnszPzTkXdGnw+O82nskq3F0ZoyJBJXJk5bg+McZtK1RhjlsKubDwwNjzI2MgQmdnZFBSXeR1O2gsVUe1OoQQGcCVwUlXrVXUSp7vtbeErqGqnqu4DprwIMJZaTzu9L2rWbMTnt+EjiUJEqF3rjNVvdXvImOjrbHK+zFausOEjqS40jKSr+TSq6nE08aOqe1X17V7HsRCZWc5MZ9YDwxhjlsaKeHqgt8Opf1FaWWf1LxLAsrIq/BkZDA50zRRWTQF1QFPY783AVQvYXoHHRESB/3CLop1nqXOEx2J+8OnpaV4+8RxFgTEur82lbPw09955OxXztJM5PUFdlGK4UDvzWUz7i2lnMTFEux2AZbW5dL7Ux3j9i1TtWEVGZib+/FyrQB8lE2MjDHR34Pf7KatZ4XU4JsaWlVeRlZPL6NAgw/092C2RxJUVqoExaTUwjDFmKSyB4YGZ6VOrrf5FIvD5/RRX1DDV1EVfRwvVq9d7HVI0zJUZW8jtuWtUtVVEKoHHReSYqj513g6XOEd4LOYH72pppHMqh/zSasbqdtMiwgNf+Qx3/+39c65fN36alpzo3Km+UDvzWUz7i2lnMTFEux0AcsBXc5zernZe6Zqmdu0aSvv38e537YluO2mqq7kBVaW0ZgUZmVleh2NizOfzUbl8Nc0nj9LZdJpVlV5HZOaTmePUwJgatx4YxhizFDaExAO9Hc7Y79IqS2AkitD/Rah3TApoBsJvvy4HIq7ypqqt7r+dwA9whqQkhdZ6Z4aLmrUbrYdTgqpb5xTzDP1fmejpaHLqX1Ta7CNpo8LqYCSFUA+MyQmrgWGMMUthCYw4GxseZGzYqX9RWFLudTjGVer2hulLnQTGPmC9iKwRkSyciu0PR7KhiOSLSGHoZ+BG4FDMIo2iwOQkne4XuDqbfSRhVa1aj8/no6etmfGRYa/DSRmBQIDetiZExOpfpJHy2pX4MzIY6O5gbMzu7ieq0CwkU1YDwxhjlsQSGHFm9S8SU1FZJf6MDIb6e5kYG/U6nCVT1QBwL/AocBT4jqoeFpF7ROQeABGpFpFm4GPAX4hIs4gUAVXAMyLyKvAC8BNV/Zk3r2Rh2s+cJBgIUFpdR25BkdfhmHlkZedQsXyNM91tgxXzjJbOjg6CwSDLyqvIzs33OhwTJ/6MTMprVgLQ3tbmcTRmPpmhaVRtFhJjjFkSq4ERZz1tzvARq3+RWPz+DMrKK+jrHk+ZOhjufN6PzHru/rCf23GGlsw2COyIbXSxERqSUGu9LxJe7dqNdJw5ReupY1xemvzHWyJoa3NGiVnvi/RTsWINHU31M+8Bk3gyw3pgqKrdxDLGmEWyHhhxpKozQxTKquf63mi8VFlVDUBPe7PHkZjFGBsepLe9Bb/fT9XKdV6HYy6iom41WTk5DPX3MjDQ73U4SS8YDNLe3g5A5Yq1Hkdj4q1y+RpEhK6uLsbtDn9C8mdk4vf7CQaDBAMpN3u5McbEjSUw4mh0aICxkSGycnIoKLbJzhJNRWUVkFKFPNNKa70zFKFy5Toys7I9jsZcjM/vp2b1BgDOnDnjcTTJ78yZM0xOTpK/rISCZaVeh2PiLCsnl5KqWqanpzlx4oTX4Zg5iAiZNpWqMcYsmSUw4qi3/ezsI9Z1MPGUlpaSkZnJyEAf46NWWDCZqKoNH0lCte5sJM1NTQSDQY+jSW5Hjx4FsN5HaSzU8+bYMZvdJ1Fl2VSqxhizZJbAiKOZAp42fCQh+fx+iitqgLPJJpMc+rvaGRnsJycvn7KaFRffwCSEotJKCopLmZiY4OTJk16Hk7RUdeZLqw0fSV9V7v/9iRMnCAQCHkdj5pKZ5RbytKlUjTFm0SyBESeqGtYDwxIYiaqsxvm/sQRGcmk95dx9rlmzEZ/PPtaShYhQ5/bC2L9/v7fBJLHW1lYGBwfJzc1lWVml1+EYj+QWFFFSUsLk5CSnTp3yOhwzh8ycUALDemAYY8xi2ZV+nAy703Pm5OWTv6zE63DMPMqqnbv3Pe3NqKrH0ZhIBANTtDU4Y75t+EjyqVmzERHhtddeY3Q0+acw9kJo+EhtrQ1PTHc1tbXA2feESSxZoRoYVmjVGGMWLaYJDBG5SUSOi8hJEfnkHMtFRP7VXX5ARC6/2LYi8m0R2e8+GkRkv/v8ahEZC1t2/+z2vDTT+6J6uV1gJrCCknIys7MZGx5ibHjQ63BMBDqbThOYmmRZeRWFJVYcN9nk5BVQWVlJMBjk0KFDXoczpwjOZZtE5NciMiEif7yQbZdKVTly5Ahw9surSV+1tc4U7cePH7e6MgkoNJWq9cAwxpjFi1kCQ0T8wGeBm4EtwPtEZMus1W4G1ruPu4HPXWxbVX2vqu5U1Z3A94Dvh+3vVGiZqt4Tq9e2GD3tTYDVv0h0Pp9vZohPT1uTx9GYSLSccr68hYYimOSzctUqIDGHkUR4LusF7gP+cRHbLklnZye9vb3k5eVRVmYJvHRXWFhIRUUFY2NjNDY2eh2OmSXLZiExxpgli2UPjCuBk6par6qTwLeA22atcxvwNXU8BxSLSE0k24rTjeE9wDdj+BqiYnp6mt52p4CnFRhMfFYHI3mMjwzT09aMz+ej2p2S0ySfmppacnJyaG1tpaOjw+twZrvo+UhVO1V1HzC10G2XKtT7YvPmzVb/xQDOewHOvjdM4pipgTFuw+WMMWaxMmK47zog/BZ2M3BVBOvURbjtG4AOVQ2f8HyNiLwCDAJ/oapPzw5KRO7G6e1BVVUVe/fujfT1zCjIzyV3/HTE6/d0d5E31kFBYSGX+LthvDui7e6983YqFtAOQOb0BHUL3GYx7SzGvXfevqj4FtPOYl5PKLbCkmmaA30Emg9QO7Zh3iE/pbt3LOr9Y6Kntf4YqkrVqnVkuV1zTfLx+/1s376dffv2sX//ft761rd6HVK4SM5HS952seemhx56iIGBAdavX7/gc9NizfcZG83P92Q9/80XQ7zOs/78XPr7+2loaKC9vZ28vDxLbCUQq4FhjDFLF8sExlzf+mZXRZxvnUi2fR/n9r5oA1aqao+IXAE8JCJbVfWcQgaq+gDwAMCuXbt0z54987+CeXz1wW/QW70t4vVP9XYzmFHCshXbaMlZE/F2D3zlM9z9twsr5VE3fnpBbSy2ncV44Cuf4VN//okFx7eYdhbzekJ/O81WJoteYXB0mGNjhRSVVsy5/qF9T/DFO96/1HDNIqkqzSdDw0c2exyNWaqdO3eyb98+Dhw4wFve8hb8fr/XIYVEcj5a8raLOTd1dXWxd+9eamtruf322/n6f35rQeemxZrvM3Yx55+FtnEhiXD+my+GeJ1nS/v38cEP/DbNzc309vaydu1aVq9eHfN2TWSycpwEhvXAMMaYxYtlWr4ZCB8vsRxojXCdC24rIhnAu4Bvh55T1QlV7XF/fgk4BSREn/KetjOADR9JFiIy839ldTASV39XG6NDA+Tk5VNWs9LrcMwS1dbWUllZycjICCdOnLj4BvETybksFtteVGiIwKZNmxIp4WM8JiJs2eKUWjl8+LDH0ZhwoQTGxLgV8TTGmMWKZQJjH7BeRNaISBZwO/DwrHUeBj7ozkZyNTCgqm0RbPsW4JiqzhQpEJEKt2AaIrIWpzBofaxeXKQCU5P0d7UjIlbAM4mU1YYSGGc8jsTMp8XtfVG7zsb+pwIRYefOnQC88sor3gZzrkjOZbHY9qJCCYzQl1VjQkLviaNHjzI9Pe1xNCZkZgjJxLhN1W6MMYsUs6t+VQ0A9wKPAkeB76jqYRG5R0RCM4Q8gpNkOAl8Hvj9C20btvvbOb9453XAARF5Ffgv4B5V7Y3Ji1uAvs5WpqenKSqrtDH6SaSs2klg9HW0EgwGPI7GzBaYnKS98SRgs4+kkh07duDz+Thx4gRDQ0NehwNEdi4TkWoRaQY+BvyFiDSLSFEE57JF6+rqoqOjg5ycHNauXRuNXZoUUlNTQ0lJCcPDw5w5Y4n4ROHz+8nMykZVmZqwOhjGGLMYsayBgao+gpOkCH/u/rCfFfhIpNuGLbtzjue+hzOtakLpbnUuHMpt+EhSyc7No6i0nMHebvo722z4T4JpbzxBYGqK0qpa8otKvA7HREl+fj4bN27k6NGjvPrqq1x77bVehwREdC5rxxkeEtG20RA++4gNHzGziQhbt27lmWee4fDhw1YHI4Fk5eQyNTnBpA0jMcaYRbF+1zEWqqFgX4CTT6gXRigJZRJHc9jwEZNaLrvsMsAZRmJdrOcXqm2wdetWjyMxiSr03jhy5IgNI0kgVsjTGGOWxhIYMTQ2MsRwfy8ZmZkUV9R4HY5ZoPK6VYDVwUg0Q3099He1k5GZRfWqS7wOx0TZJZdcQmFhIT09Pdb1fR6dnZ10dnaSm5vLmjWxndXJJK/q6mpKS0sZGRmhoaHB63CMKysnD8B6YBhjzCJZAiOGetw796XVy/FZF9+kU1xZgz8jg8HebibGRrwOx7haTjm9L2pWrycjM8vjaEy0+Xy+mV4YL7/8ssfRJKZDhw4BTqFGGz5i5iMibNvmTKtrs5EkjlA9tMkJS2AYY8xiWAIjhrrdO/fltTbFYzLy+zMoraoDoLvVplNNBMFggNb6YwDUrbeu86kqlMA4cuQI4+NW6C6cqs4kMEJfTo2ZT+g9cuTIEYLBoMfRGAgfQmIJDGOMWQxLYMTI9PR0WP0LS2AkqzI3+dTd2uhxJAag80w9k+PjFJaUsays0utwTIyUlJSwdu1apqamOHjwoNfhJJS2tjZ6e3spKChg1apVXodjElxlZSWVlZWMjY1x6tQpr8Mx2BASY4xZKktgxMhAdwdTExPkFS4jv6jY63DMIoV6z/S0nbGCggkgVLxz+fptiIjH0ZhYuvzyywE4ffq0x5EklvDhIz6fncLNxYV6YYTeO8ZbMz0wbAiJMcYsil39xEjojn2oEKRJTvlFJeQWFDI5Ps5AT6fX4aS1kcF+etqa8Pv91K7d6HU4JsY2bdrE7/7u7/Jbv/VbXoeSMKanp2d6pGzfvt3jaEyyCCUwjh07xtTUlMfRGBtCYowxS5PhdQCpqrvFSWBUWAIjqYkI5bWraHrtEN0tDRSXV3kdUtpqcXtfVK1aT2ZWtsfRmFjLyMiwIRKzNDY2MjQ0RElJCcuXL/c6HJMkSktLeetb38qqVavIyLDLPq+FJzDyrCOhMcYsmPXAiIGJsREGejrx+/0zRSBN8golobpbbUpHr0wHgzPDR1ZssMKFJj2F976wIVRmIV73utdRW1tr75sEcDaBMepxJMYYk5wsgREDoRkrSqrq8GdkehyNWarS6uX4fD4Gujusy6dHOpvqmRwfo7C4lOKKaq/DMSbuAoEAR444STwbPmJM8srMdhIYUxMTVlvLGGMWwRIYMdDd0gBY/YtUkZGZRUlVHapqs5F4pOk1p/jc8g1259mkp0AgwK5du9i4cSMVFRVeh2OMWSSfz0dWTg6qSsBqkhhjzILZYMgomw4GZ4YaVNSt9jYYEzUVy1fT09ZEV3MDtWs3eR1OWhke6KWnvRl/RoYV7zRpKycnh7e85S1eh2GMiYLsnDwmx8cJBCyBYQxAMDDFxNgogckJFMWfkUl2br7VPDNzsgRGlPV3tTE1OUH+shKbPjWFVNSt5ti+p+luPcP09LRNXxhHod4XNWs22InMGGNM0svKzYf+XqamJr0OxRhPjI8O09V8mp72Zga6OxgbHppzvezcPIpKKyitrqOibg0FxaVxjtQkIktgRFlXcwMAldb7IqXkFxWTv6yEkYE++rvarDhrnAQDU7SeOgbAyg027t8YY0zyCxXynJq0HhgmfUxPT9PVfJozxw/S2958Tg0Y8Qk5eQXujSohMDXJxNgIE2OjdLU00tXSyPGXnqWotJzl67dSt26z1RlMY5bAiLJOt/5FxfLVnsZhoq+ybjWnB/roam6wBEactDWcYGpygmXlVRSVVXodjjHGGLNk2bl5AASsB4ZJA9PT07Q3vMbJV19gdGgAAL/fT1ntSirqVlFcUUt+UTE+v/+c7VSVseFB+rvb6WltorO5nsHebo48/yQnX32e1VsuY9WmHZbISEOWwIiikcF+Rgb6yMzKpriixutwTJRVLF/N6SOv0Nl8mo1XXON1OBclIjcB/wL4gS+o6qdnLd8EfBm4HPhzVf3HSLeNB1XlzLEDAKzcaL0vjDHGpIZQAmPKiniaFNfb28PzL32XgZ5OAPIKi1i1aSc1azeSlZ1zwW1FhLzCZeQVLqN2zUaCwQCdZ+ppPPYq/V3tvPbyrzlz7CCbdl1rM/qkGUtgRFFX82nAmX1kdhbRJL/iihoys7MZGehjZLDP63AuSET8wGeBG4BmYJ+IPKyqR8JW6wXuA965iG1jrr+rncHeLrJycqhevT6eTRtjjDExk5WTD1gPDJO6pqameOKJJ3jqyScZza8lJ6+AS3ZeRe3aTYuuI+f3Z1CzZgPVq9fT09bEay8/y2BvF/uf+hkTXQ0MDQ1RWFgY5VdiEpFVIoyizqZ6ACqXr/E4EhMLPr9/ZmaZzqbT3gZzcVcCJ1W1XlUngW8Bt4WvoKqdqroPmH0L6KLbxkPTawcBWH7JVvx+y7UaY4xJDdYDw6Syjo4OHnjgAZ577jlEhLXbruDa297P8ku2RKUIvohQXruSq9/2HrZevYfMrGwG+nr53Oc+x/Hjx6PwCkyis28FUTI5PkZfZxs+n4/yulVeh2NipHL5Glrrj9PZVE++18FcWB3QFPZ7M3BVtLcVkbuBuwGqqqrYu3fvgoIsyM8ld/z8ZNDY6CijJ1+gSJUrVxaSP8c6C3HvnbdTMc8+MqcnqFvi/iNpZz6LaX8x7Swmhmi3Mx9/fu6C3zvGGJOsziYwrAeGSS379+/nxz/+MYFAgIqKCq7fs4fpTa+PSVs+n48VG7ZTUbeGnzUdZXR0lG9+85tce+21vOlNb7IZA1OYJTCipKulAVWlrGa5TfWYwsprV+Hz+ejvaicrP6E/GGWO5yIdIBjxtqr6APAAwK5du3TPnj0RNuH46oPfoLd623nPnzz+PP2+ZVStXEd/+Xb6F7TX8z3wlc9w99/eP+eyuvHTtOREp9fUhdqZz2LaX0w7i4kh2u3Mp7R/H+9+156Yt2OMMYkgKydUxNN6YJjUMD09zWOPPcZzzz0HwOWXX87NN9/Mf37rO/TGuO2c/ALWbdzCDTfcwBNPPMEzzzxDe3s7v/mbv0lOzoXrbJjklNDfwJJJ5xln+EjF8rUeR2JiKSMri9Lq5agqA30JXQejGVgR9vtyoDUO2y5ZMBig6bVDAKzadGm8mjXGGGPiIisnF/EJgUCAQCDgdTjGLMnU1BTf/va3ee655/D7/dx666284x3vIDMzfrODiAjXXHMNH/zgB8nLy+PkyZN86UtfYmBgIG4xmPixBEYUBKYm6W47A0DVCktgpLqqlesAGOjr8TiSC9oHrBeRNSKSBdwOPByHbZesveEkE2OjFJaUUWLT1RpjjEkxIkK22wtjZGTE42iMWbzR0VG+9rWvcfz4cXJzc7njjju44oorPItn9erV/N7v/R4VFRV0dnbyxS9+kf7+fs/iMbFhCYwo6GlrIhgIUFxRTU5+gdfhmBirXLEGEWFooJ+JiQmvw5mTqgaAe4FHgaPAd1T1sIjcIyL3AIhItYg0Ax8D/kJEmkWkaL5t4xQ3jUf3A7Bq805E5hrNYowxxiS30DCS4eFhjyMxZvGeffZZmpqaWLZsGXfddRerV6/2OiRKSkr40Ic+xMqVKxkcHOSnP/0pbW1tXodloshqYERBx5lTAFSttN4X6SA7N5+Syho6jisnTpxg27bzazgkAlV9BHhk1nP3h/3cjjM8JKJt46Gvo8WdOjWXmjUb4t28McYYExehQp6WwDDJ7I1vfCOTk5Nce+21FBUVeR3OjFBvkO985zs0NDTw1a9+lQ9+8IPU1tZ6HZqJAuuBsUTTwSBdzQ0AVNrwkbRR6Q4jOXLkiMeRpJbGo68CsGLDNps61RhjTMqyBIZJBX6/n7e97W0JlbwIyczM5Pbbb2flypWMj4/zta99jdbWuJV0MzEU0wSGiNwkIsdF5KSIfHKO5SIi/+ouPyAil19sWxH5axFpEZH97uNtYcv+1F3/uIi8NZavLaS77QxTkxMUlpSRX1QSjyZNAgjVwThx4gSTkzYNWjSMDPbR2Xwav9/Pyo3bvQ7HGGOMiZmsXGcy9qGhIY8jMSZ1+f1+rr/+ejZv3sz4+Dhf//rX6ezs9Doss0QxS2CIiB/4LHAzsAV4n4hsmbXazcB693E38LkIt/0nVd3pPh5xt9mCU2xwK3AT8O/ufmKqo9EZPlK9an2smzIJJDe/kPyCQqampjh58uT/3969R1dZ3/kef39zJQmBkJCEq1wUqNwLKFiqYOkFrUrrFbRap7pctjKdmXOZOjNnzZxO15zTTteZ6UxvHlp6tFYLShWxRasyg+IdkTsIIteQcEsgIYQQknzPH3uHxpiEnWTv/TxJPq+19mLvZz+//fvszfPbl2+e5/cEHadH2L9jE+7O4NHjyIx+sRMREemJMlXAEEmK1NRUbr31VsaOHXth0tGT4T6ToFxEIvfAuBLY4+573b0OWAYsaLHOAuDXHvE2kGdmg2Ns29ICYJm7n3P3fcCe6OMkTGNDA8cORU6fWjzi0kR2JSGUl18AwPbtSZnfskc7d7aG0o92AjDy8k8HnEZERCSx+mSrgCGSLKmpqdx+++2MGjWK6upqHn/8cR2+1Y0l8iDzocChZrdLgJkxrDM0hraLzewe4D3gv7r7yWibt1t5rI8xsweI7O1BcXExa9eujf0ZRfXNySKrdh+lh0vIqjnCoLwBjMushNr4nmt48b0LKazd16E26Y3nGNrBNp3ppzMW37uwU/k6009nnk9Hs10/bw7vvv0mJSUl5OXlJfV81z3NwV1baGhooHDYSPrm5QcdR0REJKGazlpXVVUVcBKR3iEtLY2FCxfy2GOPUVpayhNPPMG9995LZmZm0NGkgxJZwGjt/Ice4zrttf058L3o7e8B/wf4Roz94e5LgCUAM2bM8Llz57bSrH2PPf4EFYMmsqXsQ6rSBlB02UwO9xnV4ce5mCWP/oAHvvfIxVdsZmjtvg5n6Uw/nbHk0R/w3b/7TkJeq5b9dOb5dPS127ZjDZ/97GcpKSlhyJAhTJgwocN9CtSfr+Pgri0AjJ4Y3LnDRUREkqXpEBIVMESSJzMzk7vuuoulS5dSVlbG008/zZ133klKis5r0Z0k8n+rBBje7PYwoOXUr22t02Zbdz/q7g3u3gj8gj8dJhJLf3HTUH/+wuEjg0fqdI+9VdMpVLdu3Rpwku6rZM8Ozp87R17hIAYU6fRWIiLS82X0ycbMqKmpob6+Pug40suY2a/M7JiZbQs6S7Ll5OTwta99jezsbPbs2cPq1atx/8TfvCXEElnAWA+MMbNRZpZBZILNVS3WWQXcEz0bySyg0t3L2msbnSOjyVeBbc0ea6GZZZrZKCITg76bqCd3/PAB6s+fp39BETn98hLVjYTchAkTMDM+/PBDamtrg47T7TQ2NrJ/+0YARk2YdpG1RUSkNzOz4Wb2n2a208y2m9lfBJ2ps1JSUkhPzwA0D4YE4lEiJz3olfLz81m0aBFpaWm89957vPXWW0FHkg5IWAHD3euBxcAfgZ3AU+6+3cweNLMHo6utBvYSmXDzF8C32msbbfPPZrbVzLYA1wJ/FW2zHXgK2AG8CDzk7g2Jen5l+3YDMHiU9r7ozXJzcxkxYgQNDQ188MEHQcfpdg4ePEBtTTW5efkUDR8ddBwREQm3eiJzn10OzAIeauUMd91GRkakgKHDSCTZ3P01oCLoHEEaPnw4X/3qVwF4+eWX2bVrV8CJJFaJnAOD6ClOV7dY9kiz6w48FGvb6PK72+nvn4B/6mzeWNXV1XHi8H7MTKdPFSZNmsT+/fvZsmULU6dODTpOt9HY2MiHu3cD/Rk1aQZmrU1jIyIiEhHdS7csev20me0kMmH7jkCDdVKaChgSYvE88UGi5V8xpc181dXV7WYfMGAAGzdu5Ic//CHXX389+fnxnUz+Yv0nQ9AZ4t1/QgsYPVXp4cM0NDRQMGjYhVmkpfcaP348q1evZt++fVRVVdGvX7+gI3UL27Zto7q6muzBw1UIFBGRDjGzkcCngXdaLL/wo6uwsLBTX5qvuWJKUn50TZv4Kfbv38/atWspLy+PqU3QP0QSoSc+p54gnic+SLRt69ew9O67Wr1v7dq1tJd9zpw5PPPMM2zdupWDBw8yf/58srOz45btYv0nQ9AZ4t2/ChidcOjQQSCTIZd+KugoEgJZWVmMGzeOHTt2sG3bNj7zmc8EHSn0Ghsbee211wAYPekKzf4sIiIxM7O+wO+Av3T3j+2+0PxH17hx4zr1o+u+b/81E2+8Pw5J27dr/2FmTBjDmDFjYv5yH/QPkUToic9Jug8z46abbqKiooLDhw/z9NNP87WvfY3U1NSgo0kb9Kuhg06dOsWJEydITUujePilQceRkJg8eTIAmzdv1kzGMdixYwcnTpwgOzuHIaPGBR1HRES6CTNLJ1K8eMLdnwk6T1doDgyRcEhPT+eOO+6gb9++7Nu3j5deeinoSNIOFTA6aPPmzQAUDR994dhFkTFjxpCdnc3Ro0c5cuRI0HFCrbGxkVdffRWAcePGkaIKt4iIxMAikyUtBXa6+78Enaerms5CogKGJJuZ/RZ4CxhnZiVmdl/QmYLWr18/Fi5cSGpqKu+88w6bNm0KOpK0QQWMDnD3Cxvz0EsvDzaMhEpqaiqTJk0C0BveRWzfvp3jx4+Tl5fHJSNGBB1HRES6j9nA3cDnzGxT9HJ90KE6Kz0jE1ABQ5LP3Re5+2B3T3f3Ye6+NOhMYTBs2DC+/OUvA/D73/+e0tLSgBNJa1TA6IADBw5w8uRJsrOzyR80LOg4EjJNZyDZsmUL9fX1wYYJqcbGxgsTdc2ZM0dzX4iISMzc/XV3N3ef7O5To5dPnLGuu0iP7slbXV1NY2NjwGlEBGDatGnMmDGD+vp6li9fzpkzZ4KOJC3o10MHbNy4EYDhl1yiH17yCYMHD2bQoEGcPXuW3bt3Bx0nlDZt2kR5eTn5+fkX5g0RERHpjVJSUsjNzaWxsVF7YYiEyPz58xk2bBiVlZWsWLFCBcaQ0a/wGJ09e5bt27cDcMkl2u1dWnfllVcyY8YMBg4cGHSU0Kmvr78w98W1116r2Z2l2zCz+Wa2y8z2mNnDrdxvZvbv0fu3mNm0ZvftN7Ot0V3d30tuchEJu7y8PCAySbyIhENaWhq33377hUk916xZE3QkaUYFjBht3bqV+vp6Ro8eTd++fYOOIyE1bdo0brjhBoqKioKOEjrr16+nsrKS4uJiJk5M/DnBReLBzFKBnwLXAeOBRWY2vsVq1wFjopcHgJ+3uP/a6K7uMxKdV0S6FxUwRMKpX79+3HbbbaSkpPDGG2+wY8eOoCNJlAoYMXB3NmzYAMD06dMDTiPS/dTW1vLaa68BMG/ePCITyYt0C1cCe9x9r7vXAcuABS3WWQD82iPeBvLMbHCyg4pI96MChkh4jRgxgi9+8YsArFy5kuPHjwecSEAFjJiUlJRw9OhRcnJy+NSnPhV0HJFu54033uDs2bOMGDGCMWPGBB1HpCOGAoea3S6JLot1HQdeMrMNZvZAwlKKSLekAoZIuM2cOZNJkyZRV1fH8uXLOXfuXNCRer20oAN0B++++y4An/70p3XcvkgHVVZW8tZbbwHwhS98QXtfSHfT2gbrHVhntruXmlkR8LKZfeDur32ik0hx4wGA4uLiC2fr6Yi+OVlk1e7rcLuOWnzvQgpb6Se98RxD49R/W320pzP9d6afzmSIdz9tSc3J6tS2I8FRAUMk3MyMG2+8kaNHj3Ls2DGee+45brvtNn2fDZAKGBdRXV3Njh07MDNmzNDhyyIdtWbNGurr65k4cSLDhun0w9LtlADDm90eBrQ8MXyb67h707/HzOxZIoekfKKA4e5LgCUAM2bM8Llz53Y46GOPP0HFoMTPL7Pk0R/wwPce+cTyobX7ONxnVEL7aE9n+u9MP53JEO9+2pJ/aj233Dw34f1I/KiAIRJ+GRkZ3HHHHSxZsoQdO3bw5ptvMnv27KBj9Vo6hOQi3n//fRoaGhg7duyFDxkRic3hw4fZsmULqampzJs3L+g4Ip2xHhhjZqPMLANYCKxqsc4q4J7o2UhmAZXuXmZmOWaWC2BmOcAXgW3JDC8i4da/f38AqqqqdKpGkRArKCjg5ptvBuCVV15h7969ASfqvVTAaEdDQwPr168HIqfHFJGOaWxspLCwkFmzZjFgwICg44h0mLvXA4uBPwI7gafcfbuZPWhmD0ZXWw3sBfYAvwC+FV1eDLxuZpuBd4E/uPuLSX0CIhJqaWlp5Obm0tjYSFVVVdBxRKQd48aN45prrsHdWbFiBZWVlUFH6pV0CEk7tm/fzunTpykqKmL06NFBxxHpdoYPH843v/lNGhoago4i0mnuvppIkaL5skeaXXfgoVba7QWmJDygiHRreXl5nD59mlOnTmlvX5GQmzt3LqWlpezZs4fly5fzjW98g7Q0/aROJu2B0QZ35+233wZg1qxZmqhFpJNSUlJIT08POoaIiEgoaR4Mke4jJSWFm2++mby8PEpLS/nDH/5A5O8YkiwqYLThwIEDlJaWkp2dzaRJk4KOIyIiIiI9UH5+PgDl5eUBJxGRWGRnZ7Nw4ULS0tLYuHEj7733XtCRehUVMNrw+uuvA5Fz/+qvxyIiIiKSCAUFBYAKGCLdyaBBg7jpppsAeOGFFzh48GDAiXoPFTBaceTIEfbs2UN6ejpXXHFF0HFEOsXM5pvZLjPbY2YPt3K/mdm/R+/fYmbTmt2338y2mtkmM1NZWUREJEFUwBDpniZPnsxVV11FY2MjTz31lCb1TBIVMFrxxhtvADB9+nSys7MDTiPScWaWCvwUuA4YDywys/EtVrsOGBO9PAD8vMX917r7VHefkei8IiIivVVTAaOiokLH0ot0M1/4whcYPXo01dXVLF++nPPnzwcdqcdTAaMVc+fOZfr06Vx11VVBRxHprCuBPe6+193rgGXAghbrLAB+7RFvA3lmNjjZQUVERHqzPn36kJOTw/nz53UqVZFuJiUlhVtvvZUBAwZQWlrKqlWrVIhMMJ3zpRUFBQXceOONQccQ6YqhwKFmt0uAmTGsMxQoAxx4ycwc+L/uvqS1TszsASJ7b1BcXMzatWs7FLJvThZZtfs61KYzFt+7kMI2+klvPMfQOGVor5+2dKb/zvTTmQzx7qctqTlZHd52RER6koEDB3LmzBnKy8vp379/0HFEpAOys7NZtGgRv/zlL9m6dStFRUVcffXVQcfqsVTAEOmZWjvvb8tycHvrzHb3UjMrAl42sw/c/bVPrBwpbCwBmDFjhs+dO7dDIR97/AkqBk3sUJvOWPLoD3jge4+0et/Q2n0c7jMq4f20pTP9d6afzmSIdz9tyT+1nltunpvwfkREwqqgoIADBw5QXl7O6NGjg44jIh1UVFTELbfcwrJly1izZg0DBw7k8ssvDzpWj5TQQ0i6OIlgq23N7Idm9kF0/WfNLC+6fKSZnY1OOrjJzBL/rVskvEqA4c1uDwNKY13H3Zv+PQY8S+SQFBEREUkATeQp0v2NGzeOefPmAfDMM89QVlYWcKKeKWEFjK5MIniRti8DE919MrAb+Jtmj/dRdNLBqe7+YGKemUi3sB4YY2ajzCwDWAisarHOKuCeaCFxFlDp7mVmlmNmuQBmlgN8EdiWzPAiIiK9SVMB48SJEwEnEZGumD17NlOnTuX8+fM8+eSTnDlzJuhIPU4i98DoyiSCbbZ195fcvT7a/m0ifzUWkWaiY2Qx8EdgJ/CUu283swfNrKm4txrYC+wBfgF8K7q8GHjdzDYD7wJ/cPcXk/oEREREehEVMER6BjPjhhtuYMSIEZw+fZo1a9Zw7ty5oGP1KImcA6MrkwjG0hbgG8DyZrdHmdlGoAr4H+6+rmWDrk46COGYeLAtYZgQsL1+4jlhYnv9dOb5dDRb/hVTQj3xoLuvJlKkaL7skWbXHXiolXZ7gSkJDygiIiIA5Ofnk5qayqlTpzh37hyZmZlBRxKRTkpLS+OOO+5g6dKl7N+/n6effppFixaRmpoadLQeIZEFjK5MInjRtmb2d0A98ER0URlwibuXm9l0YKWZTXD3j52PqquTDkI4Jh5sSxgmBGyvn+/+3XfiNmFie/105vl09LXbtn4NS+++q8P9iIiIiDSXmppKUVERZWVlHD16lEsuuSToSCLSBdnZ2dx1111s376dPXv28Pzzz7NgwQLMWvuZKx2RyAJGVyYRzGivrZl9HbgBmBf9KzLufg44F72+wcw+AsYC78XjyYiIiIiIxMvGTZu479t/feH2gY8+pPzEMd7f+RGFxYNbbXPNFVM+1iYWwwYN5Lt/27E2ItJ1+fn5zJs3j927d7Np0yZyc3MvTPIpnZfIAsaFSQSBw0QmEbyzxTqrgMVmtozIISJNkwgeb6utmc0HvgPMcfeapgcys0Kgwt0bzGw0kYlB9ybw+YmIiIiIdMrZunom3nj/hdt9d2zkg/dep2jsRCbMurbVNlm1+z7WJhbbnv9ll3KKSOcVFhYyZcoUli1bxrp168jJyWHWrFlBxwLgH/7XP1NyJPHz7sz7zPS4Pl7CChjuXm9mTZMIpgK/appEMHr/I0SOz7+eyCSCNcCftdc2+tA/ATKBl6O74LwdPePINcA/mlk90AA86O4ViXp+IiIiIiLxkjtgIACnT2oiT5GeZOzYsdx0002sXLmSF198kT59+jB16tSgY1Fy5ESHC6Kdcf7I+rg+XiL3wOj0JIJttY0uv6yN9X8H/K4reUVEREREgtA3L3ImkupT5bi7jpUX6UGmTp1KbW0tL774Is899xwZGRmMHz8+6FjdUiJPoyoiIiIiIjHIzMqmT3YO9efPc7a66uINRKRbmTVrFnPnzsXdWbFiBbt27Qo6UrekAoaIiIiISAg07YVRVXE84CQikghz5sxh9uzZNDY28tRTT7F79+6gI3U7KmCIiIiIiIRAXuEgAE4dLws4iYgkgpnx+c9/nlmzZtHQ0MDy5cu1J0YHqYAhIiIiIhICeYWR06eeOn4k4CQikihmxpe+9KWPFTF27NgRdKxuQwUMEREREZEQ6D+wGDOjqvwYDQ31QccRkQRpKmI0HU7y9NNPs3HjxqBjdQsqYIiIiIiIhEB6RiZ9+w+gsbGRqnLNgyHSkzUdTnLttdfi7jz33HO8/vrrRE7UKW1RAUNEREREJCT+dBiJ5sEQ6enMjDlz5nD99ddjZrzyyiu88MILNDY2Bh0ttFTAEBEREREJibwizYMh0ttceeWV3HLLLaSmpvLuu++yfPly6urqgo4VSipgiIiIiIiExICiIQBUHCnRX2FFepGJEydyzz33kJWVxa5du1i6dCmnTp0KOlboqIAhIiIiIhIS2bn9yemXx/m6c1Se0F4YIr3JiBEjuP/++ykoKODo0aMsWbKEvXv3Bh0rVFTAEBEREREJkYFDRwBw4vCBgJOISLIVFBRw//33c9lll1FTU8Pjjz/OunXrNLlnlAoYIiIiIiIhMnBIpIBxXAUMkV4pKyuLO++8k2uuuQZ3Z82aNfzmN7+huro66GiBUwFDRERERCRE8ouHkJqaSlXFcWpr9INFpDdKSUnhc5/7HHfddRfZ2dl89NFH/OxnP+ODDz4IOlqgVMAQEREREQmR1LR0CoZcAsCRA3sCTiMiQRozZgzf/OY3GT16NDU1NSxbtoxnnnmGmpqaoKMFQgUMEREREZGQGTJqHABle3cFnEREgpabm8vdd9/NddddR3p6Olu2bOEnP/kJmzdv7nVzY6iAISIiIiISMoXDRpKWnkFl+TGqT1UEHUdEAmZmzJw5kwcffJBRo0ZRU1PDs88+y6OPPkpZWVnQ8ZJGBQwRERERkZBJTUtn0MjLADj80c6A04hIWBQUFHDPPffwla98hZycHA4cOMCSJUtYuXIllZWVQcdLOBUwRERERERCaNhlEwA4tHsb5+vOBZxGRMLCzJg6dSqLFy/mqquuwszYtGkTP/7xj3nhhRc4ffp00BETRgUMEREREZEQyiscRP6godSfr+PQrq1BxxGRkMnKyuJLX/oSixcvZuLEidTX1/POO+/wox/9iOeff54TJ04EHTHu0oIOICIiIiIirRs9cQYVRw6zf+cmZo64GvoEnUhEwiY/P59bb72Vq6++mldffZWdO3eyYcMGNmzYwPnz5xkyZAiXXXYZKSndf/8FFTBEREREREKqYPBwBhQN5uSxMrZt3kjx1eOCjiQiIVVcXMztt9/OiRMneOutt9i8eTP79+/nySefpF+/fkyZMoXJkydTWFgYdNROUwFDRERERCSkzIzxM6/lzT/8lo8+3E36mBLyBw0LOpaIhNjAgQO58cYbmTdvHkuXLsXdqaioYN26daxbt47i4mLKDh9ixMly+ublY2ZBR46ZChgiIiIiIiGWO6CA0ROmc3zjy2x67QVmzr+NnH55QccSkZDLzs5m0qRJzJkzhwMHDrB582Z27tzJ0aNHKSs5yBvPP0lW31wGDhlBweDh5BcPJaNPVtCx26UChoiIiIhIyF06ZSapR7az+/hZNqx5jmmfu5G+/fODjiUi3YCZMXLkSEaOHMmXv/xl9u7dy+vvbSajTxZnq09zaPc2Du3eBkDfvHzyCgeRN3AQ/QqK6Ns/n5TU1ICfwZ+ogCEiIiIiEnIpKSnM+uzVHH1tE5Xlx3jnhRWMm/FZhl56ebfa/VtEgpWWlsbYsWMZMXoME264j6qKY5w4fJCKIyWcOl5G9akKqk9VUPLhDiDy3tM3L5++eQXk9BtATv8B5PTLIyunH2kZGcnPn8gHN7P5wL8BqcAv3f37Le636P3XAzXAve7+fnttzSwfWA6MBPYDt7v7yeh9fwPcBzQA33b3Pyby+YmEWSLGn0hvpLEkEg4aT5CensEVX/wqW994haMHP2Lbm2s4sHMTw8dOpGj4aPpk9w06onQTGk8CkT0z+hcU07+gmEsnX0FDQz1V5cepPHGEyhNHqSw/Rs3pSqoqTlBV8clTsmb06UOf7FyycnLJzM4hMyuHjD5ZZGZlk56ZRXpmJjnnztHQ0EBqnPbiSFgBw8xSgZ8CXwBKgPVmtsrddzRb7TpgTPQyE/g5MPMibR8G1rj7983s4ejt75jZeGAhMAEYArxiZmPdvSFRz1EkrBI4/kR6FY0lkXDQePqTtPQMps65jrJ9u9j9/pucPlnOjndeZcc7r5Kd25/cvAKycvtd+AFxsvwEu3fvJjU1ldTUVFJSUjCzC5cmQe3FceLECUpLSwPpu7MKCwtJT08POkanaTxJW1JT0xhQNJgBRYMvLKuvq6O6soLqU+VUV1ZwpuoUNacrqa2uoq62lrraWqoqjrf5mFnVhyktOUhGRgaZmZlkZmaSkZFBRkYG06dPZ9KkSR3KmMg9MK4E9rj7XgAzWwYsAJoPjAXAr93dgbfNLM/MBhPZu6KttguAudH2jwFrge9Ely9z93PAPjPbE83wVgKfo0hYJWr8ifQ2Gksi4RDLWOw1zIwhoz9F8YjLOHrwI47s/5DyskPUnK6k5nTlx9Y9tmcXTz75ZEBJL27//v1s27Yt5vX/c90bVFXXJDBRRL++2Vx79exW7/vWt75FUVFRwjMkkMaTxCwtIyMyJ0bhoI8td3fOnT1D7ZlqamuqOVdzhnO1NdSdPcO52rOcP1dLXe1Z0uuOY2bU1dVRV1fH6dOnLzzG2LFjO5zHIt+34s/MbgXmu/v90dt3AzPdfXGzdX4PfN/dX4/eXkOkGDGyrbZmdsrd85o9xkl3H2BmPwHedvffRJcvBV5w9xUtcj0APBC9OQ7Y1YmnNxD45D404RDmbBDufMnINsLdE37i5USNv1b66ep4CsP2EHSGoPsPQ4bO9p/w8dSNxhJ03//HntJ/GDKEdix1VSxjMbq8+ViaCMT+y7h7CHobS4Se9JxCP5Yg5s+2nvC5FIYMQfcfhgxx/WxK5B4Yre2H1rJa0tY6sbTtTH+4+xJgyUUeq/2OzN5z9xldeYxECXM2CHe+MGfrhKSMv66OpzC85kFnCLr/MGQIuv+L6BZjCYJ/HXt7/2HIEHT/Cdbh73k98fXQc5I4ueh46gmfS2HIEHT/YcgQ7/4TWcAoAYY3uz0MaHmAW1vrZLTT9qiZDXb3suguusc60J9Ib5Go8SfS22gsiYSDvueJxI/Gk3RbKQl87PXAGDMbZWYZRCbYXNVinVXAPRYxC6h097KLtF0FfD16/evAc82WLzSzTDMbRWQytXcT9eREQi5R40+kt9FYEgkHjSeR+NF4km4rYXtguHu9mS0G/kjk9Dy/cvftZvZg9P5HgNVETju3h8ip5/6svbbRh/4+8JSZ3QccBG6LttluZk8RmXymHngogWcg6dLuVAkW5mwQ7nxhztYhCRx/8RaG1zzoDEH3D8FnCLr/NnWjsQTBv469vX8IPkPQ/SdMJ8dTT3w99Jyky5L4+RSG/9ugMwTdPwSfIa79J2wSTxERERERERGReEnkISQiIiIiIiIiInGhAoaIiIiIiIiIhJ4KGB1gZvPNbJeZ7TGzh0OQZ7iZ/aeZ7TSz7Wb2F9Hl+Wb2spl9GP13QIAZU81so5n9PkzZzCzPzFaY2QfR1++qsGTrLYIeT2b2KzM7Zmbbkt13tP9Wx28S++9jZu+a2eZo/99NZv/NcnzsPUI6JujtOJpB2zLBb8tmtt/MtprZJjN7L4gMYRL0Z0y8BT3OEiXocSOdd7ExFp3Y+t+j928xs2mxto1T/3dF+91iZm+a2ZRm93X5/TKG/ueaWWW0j01m9vexto1jhv/erP9tZtZgZvnR++LxGrT7HSRh24C76xLDhcgENx8Bo4mcGm8zMD7gTIOBadHrucBuYDzwz8DD0eUPAz8IMON/AZ4Efh+9HYpswGPA/dHrGUBeWLL1hksYxhNwDTAN2BbQa9Dq+E1i/wb0jV5PB94BZgXwOnzsPUKXDr9+gW7H0Qzalj34bRnYDwwMajsI0yUMnzEJeE6BjrMEPi99BnTDSyxjjMjk1i9E36NnAe/E2jZO/X8GGBC9fl1T/9HbXXq/jLH/ua1t1/F6f+ro4wA3Av8Rr9cg+hjtfgdJ1DagPTBidyWwx933unsdsAxYEGQgdy9z9/ej108DO4Gh0VyPRVd7DPhKEPnMbBjwZeCXzRYHns3M+hEZcEsB3L3O3U+FIVsvEvh4cvfXgIpk9tmi/7bGb7L6d3evjt5Mj16SOqtzG+8R0gFBb8fRDNqWtS2HTeCfMfEW9DhLBI2bbi2WMbYA+HX0PfptIM/MBsfYtsv9u/ub7n4yevNtYFgH++hS/wlq25XHWQT8thP9tCmG7yAJ2QZUwIjdUOBQs9slhOiDw8xGAp8m8penYncvg8gHHlAUUKwfAX8NNDZbFoZso4HjwP+L7rb4SzPLCUm23iLU4ynZWozfZPabamabgGPAy+6e1P5p/T1CujFty4Fuyw68ZGYbzOyBAHOEQY/+jAlqnCXAjwh+3EjnxDLG2lonHuOzo49xH5E9AZp09f0y1v6vih7e+IKZTehg23hlwMyygfnA75otTsZnRkK2ARUwYmetLAvFOWjNrC+RDfIv3b0q6DwAZnYDcMzdNwSdpRVpRHZ3+rm7fxo4Q+SQEUme0I6nZAty/Lp7g7tPJfJXiSvNbGKy+g75e4R0grblwLfl2e4+jciu0g+Z2TUB5wlSj/2MCeN3vs4I0biRzolljLW1TjzGZ8yPYWbXEilgfKfZ4q6+X8bS//vACHefAvwYWNmBtvHK0ORG4A13b763RDI+MxKyDaiAEbsSYHiz28OA0oCyXGBm6UQ+yJ5w92eii49Gd88h+u+xAKLNBm4ys/1Edgv6nJn9JiTZSoCSZn+hW0GkoBGGbL1FKMdTsrUxfpMuegjVWiLV+WRp6z1CuiFty8Fvy+5eGv33GPAskV10e6se+RkTlnEWJ6EYN9JpsYyxttaJx/iM6THMbDKRQ5QWuHt50/I4vF9etH93r2o6vNHdVwPpZjYw1uzxyNDMQlocPpKkz4yEbAMqYMRuPTDGzEaZWQaRDWFVkIHMzIjM47DT3f+l2V2rgK9Hr38deC7Z2dz9b9x9mLuPJPJa/Ye7fy0k2Y4Ah8xsXHTRPGBHGLL1IqEbT8nWzvhNVv+FZpYXvZ4FfB74IFn9t/MeId2MtuXgt2UzyzGz3KbrwBeBwM5MEwI97jMm6HEWb2EYN9IlsYyxVcA90TNRzAIqo4dox2N8XvQxzOwS4Bngbnff3Wx5PN4vY+l/UHTcYmZXEvndXR5L23hliPbdH5hDs981SfzMSMg2kJaAoD2Su9eb2WLgj0RmTv2Vu28PONZs4G5ga/TYX4C/Bb4PPGVm9wEHgduCideqsGT7c+CJ6KDZC/wZkTeWMGTr8cIwnszst0RmiB5oZiXAP7j70iRGaHX8Rqv0yTAYeMzMUolu++6u09h1MyHYjkHbchgUA89GvyunAU+6+4vBRgpOGD5jEiDocSZyQVtjzMwejN7/CLCayFko9gA1RL5rx2V8xtj/3wMFwM+i74317j6DOLxfxtj/rcA3zaweOAssdHcH4vL+FGMGgK8CL7n7mWbN4/KZ0dp3ECITaSd0G7DI6ygiIiIiIiIiEl46hEREREREREREQk8FDBEREREREREJPRUwRERERERERCT0VMAQERERERERkdBTAUNERERERHo1M/uVmR0zs4ueTtLM/tXMNkUvu83sVBIiiggqYPR6ZrbWzL7UYtlfmtnP2ll/RnLSiXQfGksi8aPxJBIfGksd8igwP5YV3f2v3H2qu08Ffgw8k8BcEgIaS+GhAob8FljYYtnC6HIRiZ3Gkkj8aDyJxIfGUozc/TWgovkyM7vUzF40sw1mts7MPtVK00Xo9ewNNJZCQgUMWQHcYGaZAGY2EhgC3Glm75nZdjP7bmsNzay62fVbzezR6PVCM/udma2PXmYn/FmIBE9jSSR+NJ5E4kNjqWuWAH/u7tOB/wZ87K/tZjYCGAX8RwDZJLk0lkIiLegAEix3Lzezd4nsMvcckUricuB/u3uFmaUCa8xssrtvifFh/w34V3d/3cwuAf4IXJ6I/CJhobEkEj8aTyLxobHUeWbWF/gM8LSZNS3ObLHaQmCFuzckM5skn8ZSeKiAIfCnXaKaBuM3gNvN7AEi28hgYDwQ62D8PDC+2Zt9PzPLdffTcU0tEj4aSyLxo/EkEh8aS52TApyKznPRloXAQ8mJIyGgsRQCKmAIwErgX8xsGpAFnCSym9wV7n4yuptTn1baebPrze9PAa5y97OJiSsSWivRWBKJl5VoPInEw0o0ljrM3avMbJ+Z3ebuT1vkV+Zkd98MYGbjgAHAW4EGlWRaicZS4DQHhuDu1cBa4FdEKov9gDNApZkVA9e10fSomV1uZinAV5stfwlY3HTDzKYmILZI6GgsicSPxpNIfGgsxcbMfkukGDHOzErM7D7gLuA+M9sMbAcWNGuyCFjm7v7JR5OeSGMpHLQHhjT5LZFTQC109w/MbCORN+q9wBtttHkY+D1wCNgG9I0u/zbwUzPbQmQbew14MIHZRcJEY0kkfjSeROJDY+ki3H1RG3e1empVd/+fiUsjIaaxFDBT0VBEREREREREwk6HkIiIiIiIiIhI6KmAISIiIiIiIiKhpwKGiIiIiIiIiISeChgiIiIiIiIiEnoqYIiIiIiIiIhI6KmAISIiIiIiIiKhpwKGiIiIiIiIiITe/we549EaF98y3QAAAABJRU5ErkJggg==\n",
-      "text/plain": [
-       "<Figure size 1080x360 with 5 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# Making HISTOGRAM and comparing with normal distirbution's bell curve,\n",
-    "# But this time for the remaining columns\n",
-    "# Create a figure and axes for subplots\n",
-    "fig, axes = plt.subplots(nrows=1, ncols=5, figsize=(15, 5))\n",
-    "\n",
-    "# Loop through each column and create a histogram\n",
-    "for i, col in enumerate(['Month_Of_Service', 'Years_Of_Service', 'Residence_Code', 'Net_Salary', 'Resigned']):\n",
-    "    # Plot histogram\n",
-    "    pred_df[col].hist(ax=axes[i], bins=5, alpha=0.5, edgecolor='black', density=True)  # Adjust the number of bins as needed\n",
-    "    axes[i].set_title(col)\n",
-    "    axes[i].set_xlabel('Value')\n",
-    "    axes[i].set_ylabel('Density')\n",
-    "\n",
-    "    # Add normal distribution curve\n",
-    "    mu, std = norm.fit(pred_df[col])\n",
-    "    xmin, xmax = axes[i].get_xlim()\n",
-    "    x = np.linspace(xmin, xmax, 100)\n",
-    "    p = norm.pdf(x, mu, std)\n",
-    "    axes[i].plot(x, p, 'k', linewidth=2, alpha=0.5)  # Adjust opacity here\n",
-    "\n",
-    "# Adjust layout\n",
-    "plt.tight_layout()\n",
-    "\n",
-    "# Show the plot\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "id": "6d937b21",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 864x720 with 2 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# Calculate the correlation matrix\n",
-    "correlation_matrix = pred_df.corr()\n",
-    "\n",
-    "# Create the heatmap\n",
-    "plt.figure(figsize=(12, 10))\n",
-    "sns.heatmap(correlation_matrix, annot=True, cmap='coolwarm', fmt=\".2f\", linewidths=0.5)\n",
-    "plt.title('Correlation Heatmap of All Columns')\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "db3aa707",
-   "metadata": {},
-   "source": [
-    "## Second takeaway\n",
-    "- drop years_of_service since it has autocorrelation\n",
-    "- This is an imbalanced dataset, where 1 is way smaller than 0. So needs methods to predict like SMOTE or undersampling"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "134bbf58",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "Bar graph resigned column"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "id": "ba06ed3a",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "Role Satisfaction              int64\n",
-       "Skill Utilization              int64\n",
-       "Career Growth Opportunity      int64\n",
-       "Supervisor Support             int64\n",
-       "Work-Life Balance              int64\n",
-       "Recognition & Appreciation     int64\n",
-       "Company Culture                int64\n",
-       "Training & Development         int64\n",
-       "Communication Effectiveness    int64\n",
-       "Diversity & Inclusion          int64\n",
-       "Work Environment               int64\n",
-       "Compensation                   int64\n",
-       "Month_Of_Service               int64\n",
-       "Residence_Code                 int64\n",
-       "Net_Salary                     int64\n",
-       "Resigned                       int64\n",
-       "dtype: object"
-      ]
-     },
-     "execution_count": 10,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "pred_df = pred_df.drop(columns=[\"Years_Of_Service\"])\n",
-    "pred_df.dtypes"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "8ffccfd1",
-   "metadata": {},
-   "source": [
-    "# Training the data"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 14,
-   "id": "88eead04",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from sklearn.model_selection import train_test_split\n",
-    "from sklearn.metrics import accuracy_score, precision_score, recall_score, f1_score"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 19,
-   "id": "90beb683",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from sklearn.ensemble import RandomForestClassifier\n",
-    "from sklearn.linear_model import LogisticRegression\n",
-    "from sklearn.tree import DecisionTreeClassifier"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 15,
-   "id": "7d6b6698",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Split the data into features (X) and labels (y)\n",
-    "X = pred_df.drop(columns=['Resigned'])\n",
-    "y = pred_df['Resigned']\n",
-    "\n",
-    "# Split the data into training and testing sets\n",
-    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)\n",
-    "\n",
-    "# Define a dictionary to store results\n",
-    "results = {'Model': [], 'F1_score': [], 'Accuracy': [], 'Precision': [], 'Recall': []}"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 20,
-   "id": "17ff7433",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Asus\\anaconda3\\lib\\site-packages\\sklearn\\metrics\\_classification.py:1318: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
-      "  _warn_prf(average, modifier, msg_start, len(result))\n",
-      "C:\\Users\\Asus\\anaconda3\\lib\\site-packages\\sklearn\\metrics\\_classification.py:1318: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
-      "  _warn_prf(average, modifier, msg_start, len(result))\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Train Random Forest model\n",
-    "rf_model = RandomForestClassifier(random_state=42)\n",
-    "rf_model.fit(X_train, y_train)\n",
-    "\n",
-    "# Train Decision Tree model\n",
-    "dt_model = DecisionTreeClassifier(random_state=42)\n",
-    "dt_model.fit(X_train, y_train)\n",
-    "\n",
-    "# Train Logistic Regression model\n",
-    "lr_model = LogisticRegression(random_state=42)\n",
-    "lr_model.fit(X_train, y_train)\n",
-    "\n",
-    "# Evaluate models\n",
-    "models = {\"Random Forest\": rf_model, \"Decision Tree\": dt_model, \"Logistic Regression\": lr_model}\n",
-    "metrics = {\"Accuracy\": accuracy_score, \"Precision\": precision_score, \"Recall\": recall_score, \"F1 Score\": f1_score}\n",
-    "results = {}\n",
-    "\n",
-    "for name, model in models.items():\n",
-    "    y_pred = model.predict(X_test)\n",
-    "    result = {}\n",
-    "    for metric_name, metric_func in metrics.items():\n",
-    "        result[metric_name] = metric_func(y_test, y_pred)\n",
-    "    results[name] = result\n",
-    "\n",
-    "# Convert results to DataFrame for easier plotting\n",
-    "results_df = pd.DataFrame(results)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 21,
-   "id": "36bd8c97",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>Random Forest</th>\n",
-       "      <th>Decision Tree</th>\n",
-       "      <th>Logistic Regression</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>Accuracy</th>\n",
-       "      <td>0.7</td>\n",
-       "      <td>0.680000</td>\n",
-       "      <td>0.7</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Precision</th>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.444444</td>\n",
-       "      <td>0.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Recall</th>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.266667</td>\n",
-       "      <td>0.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>F1 Score</th>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.333333</td>\n",
-       "      <td>0.0</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "           Random Forest  Decision Tree  Logistic Regression\n",
-       "Accuracy             0.7       0.680000                  0.7\n",
-       "Precision            0.0       0.444444                  0.0\n",
-       "Recall               0.0       0.266667                  0.0\n",
-       "F1 Score             0.0       0.333333                  0.0"
-      ]
-     },
-     "execution_count": 21,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Plot training results\n",
-    "results_df"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "3ce6e7f8",
-   "metadata": {},
-   "source": [
-    "# Third Takeaway\n",
-    "- score interpretations\n",
-    "- whys and could be's"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 73,
-   "id": "dffda208",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 720x432 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# Assuming dt_model is your trained Decision Tree model\n",
-    "# Train Decision Tree model\n",
-    "dt_model = DecisionTreeClassifier(random_state=42)\n",
-    "dt_model.fit(X_train, y_train)\n",
-    "\n",
-    "# Get feature importances\n",
-    "feature_importances = dt_model.feature_importances_\n",
-    "\n",
-    "# Create a DataFrame to store feature names and their importance scores\n",
-    "feature_importance_df = pd.DataFrame({'Feature': X_train.columns, 'Importance': feature_importances})\n",
-    "\n",
-    "# Sort the DataFrame by importance scores in descending order\n",
-    "feature_importance_df = feature_importance_df.sort_values(by='Importance', ascending=False)\n",
-    "\n",
-    "# Plot feature importance with decimal value labels\n",
-    "plt.figure(figsize=(10, 6))\n",
-    "bars = plt.barh(feature_importance_df['Feature'], feature_importance_df['Importance'], color='lightblue')\n",
-    "\n",
-    "plt.xlabel('Importance Score')\n",
-    "plt.ylabel('Feature')\n",
-    "plt.title('Decision Tree Feature Importance')\n",
-    "plt.gca().invert_yaxis()  # Invert y-axis to display the most important features at the top\n",
-    "\n",
-    "# Add decimal value labels to bars\n",
-    "for bar, importance in zip(bars, feature_importance_df['Importance']):\n",
-    "    plt.text(importance, bar.get_y() + bar.get_height()/2, f'{importance:.2f}', ha='left', va='center')\n",
-    "\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 72,
-   "id": "2cd6c72b",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 720x432 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# Assuming lr_model is your trained Logistic Regression model\n",
-    "# Train Logistic Regression model\n",
-    "lr_model = LogisticRegression(random_state=42)\n",
-    "lr_model.fit(X_train, y_train)\n",
-    "\n",
-    "# Get feature coefficients (weights)\n",
-    "feature_coefficients = lr_model.coef_[0]\n",
-    "\n",
-    "# Create a DataFrame to store feature names and their coefficients\n",
-    "feature_importance_df = pd.DataFrame({'Feature': X_train.columns, 'Coefficient': feature_coefficients})\n",
-    "\n",
-    "# Sort the DataFrame by coefficient magnitudes in descending order\n",
-    "feature_importance_df['Abs_Coefficient'] = feature_importance_df['Coefficient'].abs()  # Absolute value for sorting\n",
-    "feature_importance_df = feature_importance_df.sort_values(by='Abs_Coefficient', ascending=False)\n",
-    "\n",
-    "# Plot feature importance\n",
-    "plt.figure(figsize=(10, 6))\n",
-    "plt.barh(feature_importance_df['Feature'], feature_importance_df['Abs_Coefficient'], color='lightcoral')\n",
-    "plt.xlabel('Absolute Coefficient')\n",
-    "plt.ylabel('Feature')\n",
-    "plt.title('Logistic Regression Feature Importance (Absolute Coefficient)')\n",
-    "plt.gca().invert_yaxis()  # Invert y-axis to display the most important features at the top\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 74,
-   "id": "2e96e4ea",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 720x432 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# Assuming rf_model is your trained Random Forest model\n",
-    "# Train Random Forest model\n",
-    "rf_model = RandomForestClassifier(random_state=42)\n",
-    "rf_model.fit(X_train, y_train)\n",
-    "\n",
-    "# Get feature importances\n",
-    "feature_importances = rf_model.feature_importances_\n",
-    "\n",
-    "# Create a DataFrame to store feature names and their importance scores\n",
-    "feature_importance_df = pd.DataFrame({'Feature': X_train.columns, 'Importance': feature_importances})\n",
-    "\n",
-    "# Sort the DataFrame by importance scores in descending order\n",
-    "feature_importance_df = feature_importance_df.sort_values(by='Importance', ascending=False)\n",
-    "\n",
-    "# Plot feature importance with decimal value labels\n",
-    "plt.figure(figsize=(10, 6))\n",
-    "bars = plt.barh(feature_importance_df['Feature'], feature_importance_df['Importance'], color='lightgreen')\n",
-    "\n",
-    "plt.xlabel('Importance Score')\n",
-    "plt.ylabel('Feature')\n",
-    "plt.title('Random Forest Feature Importance')\n",
-    "plt.gca().invert_yaxis()  # Invert y-axis to display the most important features at the top\n",
-    "\n",
-    "# Add decimal value labels to bars\n",
-    "for bar, importance in zip(bars, feature_importance_df['Importance']):\n",
-    "    plt.text(importance, bar.get_y() + bar.get_height()/2, f'{importance:.2f}', ha='left', va='center')\n",
-    "\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "1d0c810c",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "========="
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "9eefd756",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 17,
-   "id": "8bb7eec7",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from imblearn.under_sampling import RandomUnderSampler\n",
-    "from imblearn.over_sampling import SMOTE\n",
-    "from sklearn.utils import class_weight"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 22,
-   "id": "e676bc53",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Accuracy: 0.13\n",
-      "Precision: 0.13\n",
-      "Recall: 1.0\n",
-      "F1 Score: 0.23008849557522126\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Initialize RandomUnderSampler\n",
-    "rus = RandomUnderSampler(random_state=42)\n",
-    "\n",
-    "# Undersample the majority class\n",
-    "X_train_resampled, y_train_resampled = rus.fit_resample(X_train, y_train)\n",
-    "\n",
-    "# Train the logistic regression model\n",
-    "model = LogisticRegression()\n",
-    "model.fit(X_train_resampled, y_train_resampled)\n",
-    "\n",
-    "# Predict on the test set\n",
-    "y_pred = model.predict(X_test)\n",
-    "\n",
-    "# Calculate evaluation metrics\n",
-    "accuracy = accuracy_score(y_test, y_pred)\n",
-    "precision = precision_score(y_test, y_pred)\n",
-    "recall = recall_score(y_test, y_pred)\n",
-    "f1 = f1_score(y_test, y_pred)\n",
-    "\n",
-    "# Store results\n",
-    "results['Model'].append('Logistic Regression with Random Under Sampling')\n",
-    "results['F1_score'].append(f1)\n",
-    "results['Accuracy'].append(accuracy)\n",
-    "results['Precision'].append(precision)\n",
-    "results['Recall'].append(recall)\n",
-    "\n",
-    "# Print evaluation metrics\n",
-    "print(\"Accuracy:\", accuracy)\n",
-    "print(\"Precision:\", precision)\n",
-    "print(\"Recall:\", recall)\n",
-    "print(\"F1 Score:\", f1)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 23,
-   "id": "f2cd285f",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Accuracy: 0.13\n",
-      "Precision: 0.13\n",
-      "Recall: 1.0\n",
-      "F1 Score: 0.23008849557522126\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Initialize SMOTE\n",
-    "smote = SMOTE(random_state=42)\n",
-    "\n",
-    "# Oversample the minority class\n",
-    "X_train_resampled, y_train_resampled = smote.fit_resample(X_train, y_train)\n",
-    "\n",
-    "# Train the logistic regression model\n",
-    "model = LogisticRegression()\n",
-    "model.fit(X_train_resampled, y_train_resampled)\n",
-    "\n",
-    "# Predict on the test set\n",
-    "y_pred = model.predict(X_test)\n",
-    "\n",
-    "# Calculate evaluation metrics\n",
-    "accuracy = accuracy_score(y_test, y_pred)\n",
-    "precision = precision_score(y_test, y_pred)\n",
-    "recall = recall_score(y_test, y_pred)\n",
-    "f1 = f1_score(y_test, y_pred)\n",
-    "\n",
-    "# Store results\n",
-    "results['Model'].append('Logistic Regression with SMOTE Over Sampling')\n",
-    "results['F1_score'].append(f1)\n",
-    "results['Accuracy'].append(accuracy)\n",
-    "results['Precision'].append(precision)\n",
-    "results['Recall'].append(recall)\n",
-    "\n",
-    "# Print evaluation metrics\n",
-    "print(\"Accuracy:\", accuracy)\n",
-    "print(\"Precision:\", precision)\n",
-    "print(\"Recall:\", recall)\n",
-    "print(\"F1 Score:\", f1)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 23,
-   "id": "58868377",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Random Forest Metrics:\n",
-      "Accuracy: 0.87\n",
-      "Precision: 0.0\n",
-      "Recall: 0.0\n",
-      "F1 Score: 0.0\n",
-      "\n",
-      "Decision Tree Metrics:\n",
-      "Accuracy: 0.78\n",
-      "Precision: 0.0\n",
-      "Recall: 0.0\n",
-      "F1 Score: 0.0\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Asus\\anaconda3\\lib\\site-packages\\sklearn\\metrics\\_classification.py:1318: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
-      "  _warn_prf(average, modifier, msg_start, len(result))\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Train the Random Forest model with class weights\n",
-    "rf_model = RandomForestClassifier(class_weight='balanced')\n",
-    "rf_model.fit(X_train, y_train)\n",
-    "\n",
-    "# Predict on the test set using Random Forest\n",
-    "y_pred_rf = rf_model.predict(X_test)\n",
-    "\n",
-    "# Calculate evaluation metrics for Random Forest\n",
-    "accuracy_rf = accuracy_score(y_test, y_pred_rf)\n",
-    "precision_rf = precision_score(y_test, y_pred_rf)\n",
-    "recall_rf = recall_score(y_test, y_pred_rf)\n",
-    "f1_rf = f1_score(y_test, y_pred_rf)\n",
-    "\n",
-    "# Store results for Random Forest\n",
-    "results['Model'].append('Random Forest with Class Weights')\n",
-    "results['F1_score'].append(f1_rf)\n",
-    "results['Accuracy'].append(accuracy_rf)\n",
-    "results['Precision'].append(precision_rf)\n",
-    "results['Recall'].append(recall_rf)\n",
-    "\n",
-    "# Print evaluation metrics for Random Forest\n",
-    "print(\"Random Forest Metrics:\")\n",
-    "print(\"Accuracy:\", accuracy_rf)\n",
-    "print(\"Precision:\", precision_rf)\n",
-    "print(\"Recall:\", recall_rf)\n",
-    "print(\"F1 Score:\", f1_rf)\n",
-    "\n",
-    "# Train the Decision Tree model with class weights\n",
-    "dt_model = DecisionTreeClassifier(class_weight='balanced')\n",
-    "dt_model.fit(X_train, y_train)\n",
-    "\n",
-    "# Predict on the test set using Decision Tree\n",
-    "y_pred_dt = dt_model.predict(X_test)\n",
-    "\n",
-    "# Calculate evaluation metrics for Decision Tree\n",
-    "accuracy_dt = accuracy_score(y_test, y_pred_dt)\n",
-    "precision_dt = precision_score(y_test, y_pred_dt)\n",
-    "recall_dt = recall_score(y_test, y_pred_dt)\n",
-    "f1_dt = f1_score(y_test, y_pred_dt)\n",
-    "\n",
-    "# Store results for Decision Tree\n",
-    "results['Model'].append('Decision Tree with Class Weights')\n",
-    "results['F1_score'].append(f1_dt)\n",
-    "results['Accuracy'].append(accuracy_dt)\n",
-    "results['Precision'].append(precision_dt)\n",
-    "results['Recall'].append(recall_dt)\n",
-    "\n",
-    "# Print evaluation metrics for Decision Tree\n",
-    "print(\"\\nDecision Tree Metrics:\")\n",
-    "print(\"Accuracy:\", accuracy_dt)\n",
-    "print(\"Precision:\", precision_dt)\n",
-    "print(\"Recall:\", recall_dt)\n",
-    "print(\"F1 Score:\", f1_dt)\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 25,
-   "id": "c9f8ee78",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Naive Bayes Accuracy: 0.85\n",
-      "Naive Bayes Precision: 0.0\n",
-      "Naive Bayes Recall: 0.0\n",
-      "Naive Bayes F1 Score: 0.0\n"
-     ]
-    }
-   ],
-   "source": [
-    "from sklearn.naive_bayes import GaussianNB\n",
-    "\n",
-    "# Train the Gaussian Naive Bayes model\n",
-    "nb_model = GaussianNB()\n",
-    "nb_model.fit(X_train, y_train)\n",
-    "\n",
-    "# Predict on the test set\n",
-    "nb_y_pred = nb_model.predict(X_test)\n",
-    "\n",
-    "# Calculate evaluation metrics for Naive Bayes\n",
-    "nb_accuracy = accuracy_score(y_test, nb_y_pred)\n",
-    "nb_precision = precision_score(y_test, nb_y_pred)\n",
-    "nb_recall = recall_score(y_test, nb_y_pred)\n",
-    "nb_f1 = f1_score(y_test, nb_y_pred)\n",
-    "\n",
-    "# Store results for Naive Bayes\n",
-    "results['Model'].append('Gaussian Naive Bayes')\n",
-    "results['F1_score'].append(nb_f1)\n",
-    "results['Accuracy'].append(nb_accuracy)\n",
-    "results['Precision'].append(nb_precision)\n",
-    "results['Recall'].append(nb_recall)\n",
-    "\n",
-    "# Print evaluation metrics for Naive Bayes\n",
-    "print(\"Naive Bayes Accuracy:\", nb_accuracy)\n",
-    "print(\"Naive Bayes Precision:\", nb_precision)\n",
-    "print(\"Naive Bayes Recall:\", nb_recall)\n",
-    "print(\"Naive Bayes F1 Score:\", nb_f1)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 24,
-   "id": "ce9ad2f4",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 720x432 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 720x432 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# Plot class distribution before undersampling\n",
-    "plt.figure(figsize=(10, 6))\n",
-    "sns.countplot(x=y_train, palette='viridis')\n",
-    "plt.title('Class Distribution Before Random Under Sampling')\n",
-    "plt.xlabel('Class')\n",
-    "plt.ylabel('Count')\n",
-    "plt.show()\n",
-    "\n",
-    "# Initialize RandomUnderSampler\n",
-    "rus = RandomUnderSampler(random_state=42)\n",
-    "\n",
-    "# Undersample the majority class\n",
-    "X_train_resampled, y_train_resampled = rus.fit_resample(X_train, y_train)\n",
-    "\n",
-    "# Plot class distribution after undersampling\n",
-    "plt.figure(figsize=(10, 6))\n",
-    "sns.countplot(x=y_train_resampled, palette='viridis')\n",
-    "plt.title('Class Distribution After Random Under Sampling')\n",
-    "plt.xlabel('Class')\n",
-    "plt.ylabel('Count')\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "9f62a7ca",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
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