h8_p1lc2_MIkhsanRahman.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "81661cda",
   "metadata": {},
   "source": [
    "# Live Code 2 - Phase 1\n",
    "Muhammad Ikhsan Rahman Hakim - FTDS001\n",
    "\n",
    "\n",
    "**--About data set--**\n",
    "\n",
    "\n",
    "This database contains 76 attributes, but all published experiments refer to using a subset of 14 of them. In particular, the Cleveland database is the only one that has been used by ML researchers to\n",
    "this date.The \"target\" field refers to the presence of heart disease in the patient. It is integer valued 0 = no/less chance of heart attack and 1 = more chance of heart attack\n",
    "\n",
    "\n",
    "Attribute Information\n",
    "- age\n",
    "- sex\n",
    "- chest pain type (4 values)\n",
    "- resting blood pressure\n",
    "- serum cholestoral in mg/dl\n",
    "- fasting blood sugar > 120 mg/dl\n",
    "- resting electrocardiographic results (values 0,1,2)\n",
    "- maximum heart rate achieved\n",
    "- exercise induced angina\n",
    "- oldpeak = ST depression induced by exercise relative to rest\n",
    "- the slope of the peak exercise ST segment\n",
    "- number of major vessels (0-3) colored by flourosopy\n",
    "- thal: 0 = normal; 1 = fixed defect; 2 = reversable defect\n",
    "- target: 0= less chance of heart attack 1= more chance of heart attack"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "2d1ce0e6",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import time\n",
    "import os\n",
    "\n",
    "from sklearn.model_selection import train_test_split, cross_val_score, cross_val_predict\n",
    "from sklearn.tree import DecisionTreeClassifier\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "\n",
    "from sklearn.metrics import f1_score, roc_curve, auc, classification_report, accuracy_score, roc_auc_score, confusion_matrix\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from sklearn.model_selection import RandomizedSearchCV, GridSearchCV\n",
    "from graphviz import Source\n",
    "from sklearn.tree import export_graphviz\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7801ee8f",
   "metadata": {},
   "source": [
    "# Data Loading"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "511c6806",
   "metadata": {},
   "outputs": [],
   "source": [
    "# we can see all column\n",
    "pd.set_option('display.max_columns', 100)\n",
    "# to make stable randomness\n",
    "np.random.seed(42)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "fc356638",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv('heart.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4359e172",
   "metadata": {},
   "source": [
    "# Dataset Exploration"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "2a1a23f5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(303, 14)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "43de27e5",
   "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>age</th>\n",
       "      <th>sex</th>\n",
       "      <th>cp</th>\n",
       "      <th>trestbps</th>\n",
       "      <th>chol</th>\n",
       "      <th>fbs</th>\n",
       "      <th>restecg</th>\n",
       "      <th>thalach</th>\n",
       "      <th>exang</th>\n",
       "      <th>oldpeak</th>\n",
       "      <th>slope</th>\n",
       "      <th>ca</th>\n",
       "      <th>thal</th>\n",
       "      <th>target</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>63</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>145</td>\n",
       "      <td>233</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>150</td>\n",
       "      <td>0</td>\n",
       "      <td>2.3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>37</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>130</td>\n",
       "      <td>250</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>187</td>\n",
       "      <td>0</td>\n",
       "      <td>3.5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>41</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>130</td>\n",
       "      <td>204</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>172</td>\n",
       "      <td>0</td>\n",
       "      <td>1.4</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>56</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>120</td>\n",
       "      <td>236</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>178</td>\n",
       "      <td>0</td>\n",
       "      <td>0.8</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>57</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>120</td>\n",
       "      <td>354</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>163</td>\n",
       "      <td>1</td>\n",
       "      <td>0.6</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   age  sex  cp  trestbps  chol  fbs  restecg  thalach  exang  oldpeak  slope  \\\n",
       "0   63    1   3       145   233    1        0      150      0      2.3      0   \n",
       "1   37    1   2       130   250    0        1      187      0      3.5      0   \n",
       "2   41    0   1       130   204    0        0      172      0      1.4      2   \n",
       "3   56    1   1       120   236    0        1      178      0      0.8      2   \n",
       "4   57    0   0       120   354    0        1      163      1      0.6      2   \n",
       "\n",
       "   ca  thal  target  \n",
       "0   0     1       1  \n",
       "1   0     2       1  \n",
       "2   0     2       1  \n",
       "3   0     2       1  \n",
       "4   0     2       1  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "a1090c34",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 303 entries, 0 to 302\n",
      "Data columns (total 14 columns):\n",
      " #   Column    Non-Null Count  Dtype  \n",
      "---  ------    --------------  -----  \n",
      " 0   age       303 non-null    int64  \n",
      " 1   sex       303 non-null    int64  \n",
      " 2   cp        303 non-null    int64  \n",
      " 3   trestbps  303 non-null    int64  \n",
      " 4   chol      303 non-null    int64  \n",
      " 5   fbs       303 non-null    int64  \n",
      " 6   restecg   303 non-null    int64  \n",
      " 7   thalach   303 non-null    int64  \n",
      " 8   exang     303 non-null    int64  \n",
      " 9   oldpeak   303 non-null    float64\n",
      " 10  slope     303 non-null    int64  \n",
      " 11  ca        303 non-null    int64  \n",
      " 12  thal      303 non-null    int64  \n",
      " 13  target    303 non-null    int64  \n",
      "dtypes: float64(1), int64(13)\n",
      "memory usage: 33.3 KB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3d103a6b",
   "metadata": {},
   "source": [
    "# Data Cleaning"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "eea1d847",
   "metadata": {},
   "source": [
    "## Missing Value"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "376623b7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "age         0\n",
       "sex         0\n",
       "cp          0\n",
       "trestbps    0\n",
       "chol        0\n",
       "fbs         0\n",
       "restecg     0\n",
       "thalach     0\n",
       "exang       0\n",
       "oldpeak     0\n",
       "slope       0\n",
       "ca          0\n",
       "thal        0\n",
       "target      0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isnull().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8d5be6a1",
   "metadata": {},
   "source": [
    "## Duplicate Rows"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "afd237ed",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Any duplicated rows?  True\n",
      "How many?  1\n"
     ]
    }
   ],
   "source": [
    "print('Any duplicated rows? ', df.duplicated().any())\n",
    "print('How many? ', df.duplicated().sum())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "9c81e987",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>age</th>\n",
       "      <th>sex</th>\n",
       "      <th>cp</th>\n",
       "      <th>trestbps</th>\n",
       "      <th>chol</th>\n",
       "      <th>fbs</th>\n",
       "      <th>restecg</th>\n",
       "      <th>thalach</th>\n",
       "      <th>exang</th>\n",
       "      <th>oldpeak</th>\n",
       "      <th>slope</th>\n",
       "      <th>ca</th>\n",
       "      <th>thal</th>\n",
       "      <th>target</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>163</th>\n",
       "      <td>38</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>138</td>\n",
       "      <td>175</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>173</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>164</th>\n",
       "      <td>38</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>138</td>\n",
       "      <td>175</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>173</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     age  sex  cp  trestbps  chol  fbs  restecg  thalach  exang  oldpeak  \\\n",
       "163   38    1   2       138   175    0        1      173      0      0.0   \n",
       "164   38    1   2       138   175    0        1      173      0      0.0   \n",
       "\n",
       "     slope  ca  thal  target  \n",
       "163      2   4     2       1  \n",
       "164      2   4     2       1  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.loc[df.duplicated(keep=False)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "a4aac508",
   "metadata": {},
   "outputs": [],
   "source": [
    "# drop duplicate row\n",
    "df.drop_duplicates(inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "7aecabcf",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "False"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.duplicated().any()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7d3737ae",
   "metadata": {},
   "source": [
    "# Data Exploration (EDA)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "085c0eb6",
   "metadata": {},
   "outputs": [],
   "source": [
    "# style plot theme\n",
    "plt.style.use('fivethirtyeight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "e67ea534",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>count</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>min</th>\n",
       "      <th>25%</th>\n",
       "      <th>50%</th>\n",
       "      <th>75%</th>\n",
       "      <th>max</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>age</th>\n",
       "      <td>302.0</td>\n",
       "      <td>54.420530</td>\n",
       "      <td>9.047970</td>\n",
       "      <td>29.0</td>\n",
       "      <td>48.00</td>\n",
       "      <td>55.5</td>\n",
       "      <td>61.00</td>\n",
       "      <td>77.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sex</th>\n",
       "      <td>302.0</td>\n",
       "      <td>0.682119</td>\n",
       "      <td>0.466426</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cp</th>\n",
       "      <td>302.0</td>\n",
       "      <td>0.963576</td>\n",
       "      <td>1.032044</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>trestbps</th>\n",
       "      <td>302.0</td>\n",
       "      <td>131.602649</td>\n",
       "      <td>17.563394</td>\n",
       "      <td>94.0</td>\n",
       "      <td>120.00</td>\n",
       "      <td>130.0</td>\n",
       "      <td>140.00</td>\n",
       "      <td>200.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chol</th>\n",
       "      <td>302.0</td>\n",
       "      <td>246.500000</td>\n",
       "      <td>51.753489</td>\n",
       "      <td>126.0</td>\n",
       "      <td>211.00</td>\n",
       "      <td>240.5</td>\n",
       "      <td>274.75</td>\n",
       "      <td>564.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fbs</th>\n",
       "      <td>302.0</td>\n",
       "      <td>0.149007</td>\n",
       "      <td>0.356686</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>restecg</th>\n",
       "      <td>302.0</td>\n",
       "      <td>0.526490</td>\n",
       "      <td>0.526027</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>thalach</th>\n",
       "      <td>302.0</td>\n",
       "      <td>149.569536</td>\n",
       "      <td>22.903527</td>\n",
       "      <td>71.0</td>\n",
       "      <td>133.25</td>\n",
       "      <td>152.5</td>\n",
       "      <td>166.00</td>\n",
       "      <td>202.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>exang</th>\n",
       "      <td>302.0</td>\n",
       "      <td>0.327815</td>\n",
       "      <td>0.470196</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>oldpeak</th>\n",
       "      <td>302.0</td>\n",
       "      <td>1.043046</td>\n",
       "      <td>1.161452</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.8</td>\n",
       "      <td>1.60</td>\n",
       "      <td>6.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>slope</th>\n",
       "      <td>302.0</td>\n",
       "      <td>1.397351</td>\n",
       "      <td>0.616274</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ca</th>\n",
       "      <td>302.0</td>\n",
       "      <td>0.718543</td>\n",
       "      <td>1.006748</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>thal</th>\n",
       "      <td>302.0</td>\n",
       "      <td>2.314570</td>\n",
       "      <td>0.613026</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.00</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>target</th>\n",
       "      <td>302.0</td>\n",
       "      <td>0.543046</td>\n",
       "      <td>0.498970</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          count        mean        std    min     25%    50%     75%    max\n",
       "age       302.0   54.420530   9.047970   29.0   48.00   55.5   61.00   77.0\n",
       "sex       302.0    0.682119   0.466426    0.0    0.00    1.0    1.00    1.0\n",
       "cp        302.0    0.963576   1.032044    0.0    0.00    1.0    2.00    3.0\n",
       "trestbps  302.0  131.602649  17.563394   94.0  120.00  130.0  140.00  200.0\n",
       "chol      302.0  246.500000  51.753489  126.0  211.00  240.5  274.75  564.0\n",
       "fbs       302.0    0.149007   0.356686    0.0    0.00    0.0    0.00    1.0\n",
       "restecg   302.0    0.526490   0.526027    0.0    0.00    1.0    1.00    2.0\n",
       "thalach   302.0  149.569536  22.903527   71.0  133.25  152.5  166.00  202.0\n",
       "exang     302.0    0.327815   0.470196    0.0    0.00    0.0    1.00    1.0\n",
       "oldpeak   302.0    1.043046   1.161452    0.0    0.00    0.8    1.60    6.2\n",
       "slope     302.0    1.397351   0.616274    0.0    1.00    1.0    2.00    2.0\n",
       "ca        302.0    0.718543   1.006748    0.0    0.00    0.0    1.00    4.0\n",
       "thal      302.0    2.314570   0.613026    0.0    2.00    2.0    3.00    3.0\n",
       "target    302.0    0.543046   0.498970    0.0    0.00    1.0    1.00    1.0"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe().T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "474a8823",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize = (10, 5))\n",
    "sns.countplot(\n",
    "    x = df[\"age\"],\n",
    "    order = df[\"age\"].value_counts().sort_values(ascending = False).index,\n",
    "    palette = \"magma\"\n",
    ")\n",
    "plt.title(\"Age\", fontweight = 20)\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2b4d8592",
   "metadata": {},
   "source": [
    "Most of our patient's age are 58"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "9010c9a2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize = (8,8))\n",
    "\n",
    "plt.pie(df['sex'].value_counts(), labels=df['sex'].value_counts().index, autopct='%1.1f%%')\n",
    "plt.title(\"Patient Sex\")\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "20264ce1",
   "metadata": {},
   "source": [
    "Most of our patient are variable 1."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "3ce25d4a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x1296 with 13 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "col = list(df.columns)\n",
    "\n",
    "fig = plt.figure(figsize=(20, 18))\n",
    "fig.subplots_adjust(hspace=0.4, wspace=0.4)\n",
    "for i in range(1, len(col)):\n",
    "    ax = fig.add_subplot(5, 7, i)\n",
    "    #ax.hist(df[col[i]])\n",
    "    sns.histplot(df[col[i]])\n",
    "    plt.xlabel(col[i])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "24bd3b45",
   "metadata": {},
   "source": [
    "## Target data distribution"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "b2b936b1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize = (7, 5))\n",
    "sns.countplot(\n",
    "    x = df[\"target\"],\n",
    "    order = df[\"target\"].value_counts().sort_values(ascending = False).index,\n",
    "    palette = \"magma\"\n",
    ")\n",
    "plt.title(\"target\", fontweight = 20)\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "33f51c27",
   "metadata": {},
   "source": [
    "Our target distribution data not to looks imbalance."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f8d00fdb",
   "metadata": {},
   "source": [
    "## Correlation Matrix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "46df43fa",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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+eZ+vv7+/cnGrF6Wjo0PLli05cuQIISEh3L17l7S0NNzc3LC2tsbBwYFTp04xd+5cZZkW7FTk5enGjRvFLk4Fiimihff57bffHps3dfWkJD/3J8nL5549e9izZ0+x6Qrm87///mPMmDGUK1eO9u3bU7VqVQwMDNDU1OTMmTOcPXu2ROru01BXr2JjY8nJySEmJuaJdSgpKYny5cvTuHFjDh06xA8//MDevXuVo7X29vZMmzaNd95554l5yev4vcxzWEnJu1e4IG1t7WJfA0WdzLuIU5i6Opy3T0nXYSGEeJVIR1aI/0Ourq6cOnUKd3d3Ro8e/dT75f1gioiIUPt63nQ/dT+snjRyou71vOMsWLCA999//6nzWdj169fZu3cvbm5ubN++XWXaXnZ2Nr/++utzH7ugF/l8SlJx7583Mpn3/nn/7datG1u2bCmx92/bti1Hjhzh5MmT3L17Fy0tLdq0aaN8bdWqVSQlJeHu7k758uVVppTn5WnChAl89913T/V+efv4+/tjbm5eYnGUtLx8rl+/nj59+jzVPosWLUJXV5cTJ04UWbRn2rRpypVun1beSH1xHZzHrRj8uDbq4ODAuXPnnjofTZs2ZfPmzaSnp+Pp6cnx48f566+/mDFjBgYGBgwbNuyx+7u6urJhwwbc3d359NNPn/p9S6qNvsjnKIQQomTIPbJC/B9666230NHRYc+ePXh7ez82bcHRnryVPNU9ciYtLU05dbKkVvxs3rw5kL+wy/PKm7LZo0cPlU4sKKaypqamFtnneUblXvbnU5wLFy6oTJvOk9fRyOs41q5dG1NTU65evVpkumpxCi4GVZyC98m6u7vj5OSkXMG4Xbt2ZGRk8Pfff/PgwQPatGmj0kFydnZGU1Pzmco8b6GoZ+lIlYW8fD5LbH5+ftSpU6dIJzY7O1vt41WeVD555fDw4cMir8XHx+Pr6/vUeQMwMjLCwcGB+/fvK6f6PwtdXV2cnZ35+OOPWbFiBQB79+594n59+vShfPnyXL58mWPHjj02bXZ2NhkZGcDj2yigXBBM3XTdgh73OWZmZqo8lkgIIUTpkI6sEP+H7O3t+eSTT8jIyGDIkCFcvnxZbboLFy7QqVMn5d9DhgxBV1eXVatWFbmP76effiIkJIQuXbpga2tbIvl0cnKiVatW7N+/n3Xr1ql9fqiPj88TF7uxt7cHFCsjFxQZGcmsWbPU7pO3wI66H6rFedmfT3F8fX1ZtWqVyrbdu3dz8eJFatWqpbz3T1tbm0mTJik/h5SUlCLHio6OVvlRbm5ujoaGxmM/84YNG2JpacnRo0fx9PRUuQe2VatWaGtrK1dSLfgagKWlJUOHDuXmzZssXrxY7XTK4OBglc93woQJ6Orq8umnn6q9XzorK6vYjsvL1KNHD6pXr86aNWvYv3+/2jQeHh7KKcigqLt+fn4q90fm5OTwzTffcOfOnSL7P6l8ateujYmJCfv371eOPoKi8zV37ly1F3WeZMqUKWRkZPDee+8VeSYzKO5xz1vgCxQXHNTdu5mXn3Llyj3xPY2NjZX3dY8bN45Dhw6pTeft7U3fvn2Vn1/Pnj0pX748u3fvLjKavXHjRq5fv069evXUPuam8PvXrVuXixcvcuvWLeX2vLJ5lvOGEEKI5yNTi4X4PzVt2jQyMzNZtGgRnTt3xtnZmSZNmmBsbEx0dDSXLl3C29tbZcVUe3t7vv32W2bMmEH79u3p168fNjY2XLx4kbNnz2JnZ8ePP/5YovlcuXIlffv25cMPP2TFihU0a9YMc3NzQkJCuHPnDp6enmzYsOGxi900adIEFxcX/vvvP7p06YKLiwsREREcPXqUWrVqqe1Yurm5oampyR9//EFsbKzynroJEyYU+4zLsvh81OnUqROffvopR48epX79+srnyOrr67N06VKVEdCPPvoIb29v1q9fz+HDh2nbti12dnZERUXh7+/PhQsXGD9+vHIU19DQEBcXF86fP8/QoUNxcnJCW1ubli1b0qpVK0AxBbVNmzbs3LkTUH1GrLGxMU2bNlWOThd8Lc93332Hn58f3377LVu3bqVly5bY2NgQHh6Oj48Ply9fZuHChcrFgWrVqsWyZcuYMmUKrq6udOrUiRo1apCVlUVwcDAXL14kLS2NoKCg0vnAn5KOjg4bNmxgwIABjBgxAmdnZxo1aoShoSHBwcF4enpy//59Tp06Rfny5QF47733mD59Om5ubvTp0wdtbW0uXrzI3bt36datGwcPHlR5jyeVj46ODlOnTmXhwoW0bdtW+fib06dPk5OTQ4MGDfDy8nqmuN566y08PDz4888/cXJyomPHjtjb2xMfH09QUBDnzp2jffv2bNq0CVDcy3z8+HFat25N1apVMTY2xsfHh0OHDqGvr8/kyZOf6n0HDhxIamoqs2bNYujQoTg4OODq6oq5uTnx8fFcvXqV69evY2hoqFxN2dDQkGXLljF69Gj69etHnz59qFq1Kl5eXhw+fBhTU1OWL1/+VItITZ8+nYkTJ9K9e3f69euHgYEBFy9eJDg4mNatWxe5cCaEEKJkSUdWiP9js2bNol+/fqxcuZJTp06xZcsWUlJSMDMzw8HBgW+//ZYRI0ao7PP2229TvXp1li5dyr59+0hOTsbW1pYJEyYwa9asJy7q9KxsbW05ceIEf/31F7t372bHjh1kZGRgbW1NzZo1+eabb4o8yqQwLS0tNm/ezIIFCzh8+DArVqzA1taW0aNHM2vWLLWrk9asWZNVq1bxyy+/sGHDBuVI1ZAhQ4rtyMLL/3zUadq0KR9//DELFizgzz//BBTP2/zss8+KTJnU1tZm/fr17Nixg40bN3LkyBHlojyVK1dm+vTpRe5X/OOPP/jkk084d+4cR44cITs7m9mzZys7sqDooO7cuRN9ff0in2/btm25ePEilSpVonr16kXyb2xszN69e/n777/Ztm0be/fu5dGjR1hZWWFvb8/nn39Ov379VPYZNGgQDRo04Pfff8fd3Z0TJ05Qrlw5KlSoQKdOnejbt+8LfKIlx8HBgbNnz7J8+XL279/P5s2bycnJwcbGhrp16zJ16lRq1aqlTP/222+jq6vL8uXL2bx5M+XKlcPV1ZXff/+dPXv2FOnIwpPLZ9asWejr67NmzRrWrVtH+fLl6dmzJ5999hkjR458rri+++47unTpwqpVqzhz5gyxsbGYmppSsWJFxo0bx+DBg5Vpx48fj7m5OVevXuXSpUtkZGRga2vLsGHDeP/9959p9eKRI0fSoUMHVq1axfHjx9mxYweJiYnKEdNPP/2UMWPGYGlpqdynW7duHD58mJ9++gl3d3d2796NlZUVw4cP5+OPP6Zq1apP9d5Dhw4lJyeHX3/9lS1btmBkZESHDh34+++/Wbhw4VPHIIQQ4vloxMXFFZ2rJ4QQQgghhBBCvKLkHlkhhBBCCCGEEK8V6cgKIYQQQgghhCji7NmzDBs2jHr16mFmZsbGjRufuM+tW7fo0aMHFSpUoF69enz77bdqF+x8UdKRFUIIIYQQQghRRHJyMg4ODnzzzTfKhfMeJyEhgf79+2Ntbc3x48f55ptvWLp0Kb/99luJ500WexJCCCGEEEIIUUSXLl3o0qULoFhJ/0m2bdtGamoqy5cvR19fHwcHB+7du8eyZct4//33n2pV+KclHdlCjFMf/+y411WLeZPKOgslLkun5BrCqyS6WdHnZr4JtJK1yjoLJU4n4c2sg6Y+b+YagBaXo8o6CyXOf7BVWWehVKSXfzProO2ZNy+u4B5ZZZ2FUmHgo1PWWSgVVjcyyjoLpWLPpollnYXn9ir1PRL1L7/wMS5duoSrq6vK6G3Hjh1ZuHAhgYGBT70y/NOQqcVCCCGEEEIIIV5YREQEVlaqF1nz/o6IiCjR95KOrBBCCCGEEEKIElF4+nDeQk8lOa0YpCMrhBBCCCGEEKIEWFtbFxl5jYpS3NpTeKT2RUlHVgghhBBCCCHKQPYr9L+S0Lx5c86fP8+jR4+U206cOIGtrS1VqlQpkffIIx1ZIYQQQgghhBBFJCUl4enpiaenJ9nZ2Tx8+BBPT08ePHgAwPz58+nTp48y/aBBg9DX1+e9997D29ubPXv2sGTJEt57770Sn1osqxYLIYQQQgghRBnIyimZkdDScv36dXr37q38e/HixSxevJjhw4ezfPlywsLC8Pf3V75uamrKzp07mTVrFu3bt8fMzIwpU6bw/vvvl3jepCMrhBBCCCGEEKKINm3aEBcXV+zry5cvL7Ktfv36HDhwoBRzpSBTi4UQQgghhBBCvFZkRFYIIYQQQgghykA2OWWdhdeWjMgKIYQQQgghhHitSEdWCCGEEEIIIcRrRaYWCyGEEEIIIUQZKKnnt/4/khFZIYQQQgghhBCvFenICiGEEEIIIYR4rcjUYiGEEEIIIYQoA1k5smrx85IRWSGEEEIIIYQQrxUZkRVCCCGEEEKIMvAqPUdWo6wz8IxkRFYIIYQQQgghxGtFOrJCCCGEEEIIIV4rMrX4JbvsAWu2wK17EBGlwaI5OfTvXta5UvVuX1f6uzXE2KAct/xC+W7DcfxCoh+7T5PalZg2zI3qdhZExSWx/sAV/j3pqXxdS0uTt3s0p2crB6zMjQgMi+W3bac57xWg8r4T+rqqHDc6Pplu01eUSFwTe7kwoI0iLi//UL7ZfAK/0CfEVcuOmYPdqF7Rgsi4ZNYdvsKOU54qaQzL6fJe35Z0alILU8NyhMcm8duusxy5eg+AIe0aMbBNQ2wtTADwC41m5b5LnPHyL5G4ChpVz4mJjs2w0jfiflwU888f53J4sNq0LraVGdegKU5Wthjr6hGQEMdqryv8c89LJV3fGvWY6Nic6qbmJKanczYkkIUXTxKZmlzi+VdnpGMj3m3ijLWhIfeio1lw6iSXQ9TH1MKuEu80bkKjChUw1tUjMD6ONdevsc37ljKNlYEhn7R1o76VNVXNzNh55zYfHzn0UmIpaERTR8a5OmNlbMj9yGgWHXLn6gP1celqaTG/Z0fqV7CmumV5rj0IYfTf21XSdK5bk2FNHHGoYIWetjY+UdH8ceYSx+/5vYxwVLzbz5V+7RpibFiOW76hfP/3cfyCi29rFqaGTBvuRp0q1lSuYMaBs7f5aqVqmVS3s+Dd/q7UrWKNnbUZf+08z1+7zpd2KI/11pSOdB/cDCMTfe56PuD3BXsI8ol4qn3rN6nCt2vH88A/isl9fynlnCoMb+bIuFbOWBkZ4hMZzaID7lwNUl/nAGpbW/BZzw40tKtAfOojtl7xZJn7RZU0I5o34q3mjbAzMyU0PoE/Tl1it8dt5etdHWrxbutm2Jc3RVtLi8DoWNadv84uD+9Si/NNPWcAvDPYlb6dHDE20uPW/TB+WnkM/4ePaVtmhrw/xo061WyoZGvGoVPeLPy9aN4N9HWZMKwV7V1qY2JcjojoRFZsOsPx8/dKMxy1RtZ1YmKD5ljrG3EvLoqvLh3ncvhDtWlrmlrwtWtnappZYKKjR3hqEv/53WbJjbNkZL+cZ3MOa+HIO60V53KfiGi+2efO1cDi21UtGws+7d2BhpUU7eqfS54sP6HarnS0NJnYrgV9nOphbWJIdFIKa85cZcP5GwD0a+zAokFdixzb6YtfSc/MKtH4Chs7ohW9uzXC2EgP77uhLFl+hICg4utgm5a16NvdiVo1bNDV0SbgQRR/b73AuYs+yjS9ujrStUN9qlaxRENDAx+/CFb9fZqb3sV/jm+SrFdoavHr1jF83fL72ktJhVrVoG9XmLPo1am4eUZ3b8ZbXZsyf9UhgsJiGNfHhd9mDWTQvDWkPMpQu09FSxOWTO/PntNefP7XAZxq2TF7ZAdiE1M5cfU+AJP7t6JHy3osXHuEgNAYXOpX4bv3+zBu0WbuBUUqjxUQGsOkb/9R/l1SK7mN6erMyM5N+WLtIQLDY3m3pwvLpw2g/+drSUkrJi4LE5ZO7c/uc158uvogTjUrMmdEB2ITUzh+XXEC1tbUZNmHA0hIecTsP/cRHpeEjZmRyhdJeGwiv/x7hgcRsWhoaNDb1YEf3+vNyIWbuB8cVSLxAfSqXocvXDvw6dmjXAl/yKh6jVnXbRCdtq8mJDmxSPqm1hW5GxPFCs/LhKck4VapGotbdyUtK4vdvoofos42dvzs1oOFl05yOMAHS30DFrTqzC/tejLiwD9FjlnSetaqzWdt2/H5ieNcCQlmpGMjVvftT9cN6whJVBNTxYrcjY7iz6tXiEhOpm2VKizs2Jm0rCz23L0DKDqFMamp/HHlEsMaOJZ6DOp0d6jNvK7tmH/gOFcfhDCiqSN/jehHz+XrCU0oGpeWpgbpmVlsuOyBW62qGOvpFUnT3L4SFwIesOTkWeJTH9G7YT1+G9ybUeu3F9tBLg2jezRjRLemfLXyEIGhMYzv58LSjwYyeE7x5xBdHS3iElNZt+8S/dupLxM9XW1CoxI4ecWHSQNblmYIT2XwuLYMGNuan+Zt56F/FCPe68Cile/wbo+fSE1Jf+y+RiblmLl4MDcu+GJhY/pS8tu9fm3mdW/HV/uOczUwhBHNHflzZD96/b6e0Piidc5QT5dVowdyJTCYwX9uopqFOYv7dyU1I4M1564BMKyZIzM7tebzPUfxCA7D0c6Gr/t0JiE1jRO5F1DiUh+x/NRF/KJiyMzKpl2d6izo25mYlBRO3Q8o8Tjf1HMGwFt9mzG8tzMLfz9IYEgMbw9yZclngxj+4epi25aOjhbxCals2HWJPp3U511LS5Mlnw4kITmNz37eS0R0ItYWxqRnZJZmOGr1qlaXL1p05LPzR7gc/pBRdRuztvMgOu9cpfZ7LCM7ix0+XtyKDichPY165a1Z3KorWpqafHPFvdTz261hbeb2bMfXe45zLTCE4S0cWTGmH71/eUy7ensgVwKCGbJsE9WszFk0sCup6RmsPXtNme77IT2oYGbMF7uOEhgdh6WRAXo6qj/ZU9Iz6PbjapVtpd2JHT6oOUP7N2Pxz/t5EBzDmOEt+XHBUEZOXElqqvrznlODylzzDGLl36dJTHxEp3YOLPikH9PmbsHzluIChVNDe46fvoPXimAepWUyuJ8z3389mHFT1xEcEluqMYnXm0wtfsncXGD6BOjaDjRfwU9/eOfGrNt/iRNX7+MbHM38lYcwKKdL1xZ1i91nQLtGRMYl8cOmEwSExrDr1E32nvNmZNemyjQ9WtZj/f7LnPX0Jzgynh0nPTnn6c/Irs4qx8rKyiY6IUX5Ly4xtUTiGtGxCWsPXub4dR98Q6L5Yu1BDMrp0r158XENcnMkMi6J77acxD8shp1nvNh73pvRXfLj6tOqPubGBkxftocbviGERidwwzcE78BwZRp3Dz/O3QrgQWQ8QRFx/L77HCmPMnCsblsiseUZ38CZ7fe82HLXE5+4GL44f4yIlGRG1nNSm/53j4v8cPUMV8KDeZAYz4bbNzgYcI/uVWsr0zSxrkhociKrvK7yICme65GhrL11DSfrks17ccY1acqO295svXUT39gY5rufIDIlmbcaNlKbftnlS/x0/hxXQ0N4kBDPxpueHPK5T7eatZRpghMT+Mr9BDtuexOf9uilxFHY2y5N2OnhzbbrXvhFxbDg0EkiE5MZ7qz+h2ZqRiZf7D/GP9dvEpaQpDbNwsMn+evcZW6GhBMUG8/vpy5wKzSCTnVqlGYoRQzr2pj1+y5x4sp9/IKjmf9n7jnEpfi2FhqVwI8bT7DvjDcJyerL5LZ/OL9uOcWhC3d4lP7yf2AX1m90S7atdOfskVsE+oTz49xt6Bvq0a6X0xP3nfb1QI7uvsZtjweln9FcY1s2YecNb7Zdza1z+08SmZTM8Gbq61xvx7ro62gzZ+dB7kdEc/i2D3+ducxY1/zzX1/Hemy75sU+r7s8jI1nv9c9/rl6k/Gt88/rF/0fcOyOL/5RsTyIjefvC9e5Gx6JcxW7UonzTT1nAAzp2YS/d13i5MX7+D+IZsHvBzHQ16Vz63rF7hMWmcCSNSfYf/IWCUnqv097tq+PmakBc77bheedYMIiE/C8E8wd33C16UvT+PrObL/vxZZ7nvjGx/DlxWNEpCYzsm5jtekDE+PY7uPF7dhIgpMTOPrAh92+3jS3qfRS8ju2VRN2XfNm+xUv/CJjWLhXcS4f1kJ9u+rVqC7ldLSZu/0gPhHRHLnlw8pTlxnTOr9dtaxpj2tNeyat28l53yBC4hLwfBjGZf9Co9I5OUQlpaj8K22D+zqzcfsFTp27h39gFIt+2o+Bvi6d3Iqvg0v/PM6mbRe5cy+M4NA41m0+xz2fcFq75LexBT/sZefe69z3i+BBcAw//X6YlNR0WjStVuoxidfbK9iVEmXFzsoUSzMjLnoFKrelZWRy/e5DHGtWLHa/hjVsuXgrUGXbBa8AHKraoKWlqGI62lqkFbq6m5aRSaNaqse1szJl348T2PXtOBZO7IGd1YuPVthZmmJlash574JxZXHt/kMcaxQfl2N1Wy7cVo3r/K1A6lWxQTv3KkS7RjXw8A1h9rD2HP5uAtu/GM3EXi7K1wvT1NCgi3NtDPR08PANeeHY8uhoatLQsgKnggNUtp8ODqCpzdP/YDTS0SM+Pf+H2pXwYKwNjOhor+gMmevp07tGXU48KP3pqjqamjSwtuF0YIDK9tOBgTSxLb7cCjPS1SP+Udn9+CxMR1OT+rY2nPVTrVtn/QJpXOnp43oahno6JLzE2CvmnkMuqDuH1CrZ2MpShUrmlLcy4drZ+8pt6WmZeF3xx8HJ/rH79hzWAnNLI7b8caK0s6mko5Vb53wK1TnfQBpXVl8uTpVsuRIUTFqBEZ4zPoHYmBhhZ6a4TUJXW4v0TNXz+qOMTBraVSj2HOhSrTLVLMtzOaDkZwm8qecMgIrWpliaG3HJI0C5LT09kxu3H9Kwzou1rbbNanLzbgjT3+nAnr8mseHnsbwz2FX5/f2y6Ghq0sCiAqdDAlS2nw72p6n1032PVTE2w61SNS6Glf5FIh0tTRwq2nCucLvyCcTJvph2ZW/L1UDVdnX2fm67Mle0q44ONfF6GM7YVk05/vF4Dkwfy7ye7TDQ1VE5lp6ONkdnjeP4x+NZNqov9WytSjhCVbYVTLEob8SVawHKbenpmXjcekCDes92YcrAQJfEpOLbmI62Fro62o9N8ybJJueV+fe6eS06skePHqV79+5UqVKFqlWrMmDAAO7evat8/cqVK7Rt2xYbGxvatGnD4cOHMTMz4/Tp08o0d+7cYciQIVSqVImaNWsybtw4wsNf/tXGV5mFiQEA0QmqV/ViElKwMDUsfj9TQ2Lii+6jra2FmZE+ABe8AhneuQlVKpijoQHNHexp36QmlgWOe8svlPmrD/Hhz/+yaN0RLEwNWTVvGKaG5Uokrhg1cVnmvqZ+P8Oin0ViCjpa+XHZWZnSqWkttLU0+fC3XSzbc46BbR15v38rlf1qVrTgzC9TuPD7B3zyVkdmLv8Pnyfcd/wszMvpo62pSVSqan4jU5Ox0i++7ArqULk6rezs2XTHQ7ntWkQIH5zYyy/teuLzzgxujHofDTSY4X6gxPJeHHP93JhSVGOKSknByrD4ciuoQ7VqtKxcmc1eN0sji8/F3CA3rmTVuKKTU7Ayerq4nsYI50ZUMDZm983bT05cQixMc9uamvPB484hrxtzS2MAYqNVR8fjopMwtzQqdr+qtWx4672OfPfxP2Rnv7wfDOYG+mhraRJduM4lpWBZTJ2zMlLcl6eSPnd/KyNFWZ7xCWRA4/o0qGgDQIOKNgxq0gBdbS3MDfSV+xnp6XJ13hRufv4BK97qx8IDJzjtE1BS4Sm9qecMgPJmis88tnDbiktRvva8KtqY0d6lNtpaWny0+F9WbjlLvy6NmDSizQsd91mZ6xnkfo+prr8QlZqC5RO+x3b0fIu7o2bgPmgCl8OD+e7qqdLMKgBmue2q8Ejo49qVpbp2lfu3ZW67qmRuSpMqFalja8m0TXtZ8N8JWteuysKB+ffE+kfF8um/R3h/4x4+2nqAtMwsNkwYShULsxKMUFV5c0X+YuJUyyc2Nln52tPo17MxVhbGHD5+q9g040a3IfVRBmcv+BSbRgh4Te6RTU5OZtKkSTRo0IDU1FR++OEHhg0bxsWLF0lPT2fo0KG0b9+eFStWEBYWxty5c1X2DwsLo0ePHowaNYqvv/6ajIwMvv76a4YPH87Ro0fRfBXn+L4E3VzqMnd0J+Xf05fsUvyfQvelamjAky7S5BRKoJH3JKrcY/24+QSfjOnM1gVjyMmB4Mg4/jt7i96t6iv3OXczQOUYN31D2fXtOHq2cmDT4Ws8re7N6/LJWx2Vf3/w2y71edTQeOK1p+Ju0c07lqaGBjGJKXz991Gyc3K4HRSBmZE+Mwe7sWRH/oWUgPBYhi/YgJFBOTo2rsn8t7sy4cdt+JZgZ1aR36LlUDhudZxt7Pi1fS++PH8cj8gw5fZaZhZ86dqBpdfP4x4cgLW+IfNatGNx6y7McN9fonl/WhoaxZdLQU1tK/Jz1x585X4Cz/CwJ+/wkhWJQUPjqeJ6Gl3q1uTjTm2Y8e9+QtTcp1VSurrWZe7YAueQn3YB6tra05XZq6p9r0ZM/bKf8u8vJq0Hnq0MdXS0mPPjMFZ+v5/w4LK556tw3jSeUOeKhKfcrnhlmfsFLI0M2Dx+KBpoEJ2cwi4Pb95t3YysnPyFdpLT0+n/xwYMdHVxrV6ZOV3dCI5N4IL/y5la/TqeM7q0rstHEzsr//5o8U5AXRkWbW/PSkMDYhNS+HbFYbKzc7jrF4GJcTk+GNOe3/8u/ftMC1PTrJ5YgO+f3IOhti4O5a2Z26wdkxu2YNnNi4/dp8Soa1ePS66mDBWHyf9dkQN8tPUASWmK+04X/HeclW8PxMLQgOjkFDwehOLxIFR5jOtBIfz7/kjecnFi0b6TLxZPrk7tHJj5fhfl33O+3FFM/p/udwZA25a1mfxOO+Z/9x/hkQlq0wzs05Q+3Rsx45OtpBRz360QeV6Ljmzfvn1V/v7999+pXLkyV69e5c6dO2RlZbF06VL09fWpV68eM2fO5N1331WmX7VqFQ0aNGD+/PnKbStWrKBq1apcv36dpk2b8v/o1A1fvPzyv6x1tbUAxQhreGz+SIO5sQHRCcWvUBsdn1xktMXcRJ/MzCzicu93i0tM5aPf9qCrrYWpkT6RcUm8P6gNIVHxxR43NS0Dv+BoKtuYP1Nc7h6+ePnnn+B1tBXV3MKkcFz6RUZcVeJKSMbSVPWqanljAzKysojPne4SFZ9MZlY22QXO7P6hMejr6WBmpE9c7j1JmVnZPIiMB+K5HRhO/aoVeKtjE776+8gzxVac2EepZGZnY2WgWg6W+gZFRmkLc7axY23Xgfx09Swbbt9Qee29Ri24ERnGipuXAbhDJClnj7Cj9wi+v3KaUDWLb5SU2FRFTJYGqmVgoW9QZMSlMOeKFVnVpz9LLpxj403Px6Z92WJTcsuq0BV7CwP9IqO0z6NL3Zp8168bs3cfKvUVi09f9+WWb4FziE7+OSQiRvUcEvOYc8ir7sLx29zxzO906egqzinlLY2ICss/h5mVNyQuWv09zOZWxlSpacOMhQOZsXAgABqaGmhqarLX82s+n7SOa+dKZ/QhNiWVzKzsIqNE5Q31i4zS5olMSlaTXvF33ghUWmYWn+w+whf/HcPCyIDIxGSGODck6VEasSn592Pm5EBQjOJzuhMWSXXL8kxs27zEO7Jv0jnjzBVfbvkU/X4ub2ZARHT+edfc1IDYuBc7b0THJZOZma0ySyDwYQz65XQwM9EnLqFk1qp4kti0FMW5sdDoq0U5A6IePT7GvO8in/hoNDU0+LZVN1Z4XSqxBSPVictrV8Zq2lUx96tGJSWrSZ87Gy53n8jEZCISkpSdWAC/yBgAbM2M1bbZ7JwcbgWHU8XS7LnjKezsRR9u382/BUon7/xubkhkVH4dNDMzIDb2yXWwbcvafDKzJ4t+2qeyYnFBA/s0ZfyoNnz8xTbu3Hv1LkCXltKsp2+612Io0t/fn/Hjx+Pk5ETlypWpXbs22dnZPHz4kHv37lGvXj309fOnMTk7qy4g5OHhwblz57Czs1P+q1+/vvLY/69SHmXwMCJO+c8vJJqouCSa16+iTKOrrYVTbTs8fYq/n/OmbyjNHVTvC2tRvwreAeFkZakuf5+emUVkXBJaWpp0aFoL9+u+xR5XV1uLqrbmRMc92w/glLQMHkTGK//5hUYTGZ+MS4E86mpr0bimHZ6PuU/V0y+U5nVV43JxqMLtwHAyc5f19/ANobKVqfKKKoC9jRmpaRnKTqw6mhr5P/pLQkZ2NjejwmhjV1Vle2u7Klwt5vE7AM0rVGJd10H8cv0cq29dLfK6vrYO2TmqZZjXadcokrpkZWRn4xURTmv7KirbW9tX4Vpo8eXWrKIdq/sO4NeLF1hz43op5/LZZWRncys0nJbVVeNqWb0K1x++2H3T3R1q832/7szdc5hDt+8/eYcXVOQcEqw4h7QoeA7R0cKpjh2e90vunvCXLTUlndCgGOW/IJ8IYiITaNyypjKNjq42DZpWxftGkNpjREckMKnPL0wZ8Jvy3/6tlwgOjGLKgN+K3a8kZGQp6lyrGqp1rlX1Klx/oL5cbjwMxdneTtmBAmhVw57whCSC41RHUjKzswlPSCI7J4eeDepw8p7/YwfQNDU00NUqufNfnjfpnJHyKIPgsDjlP/+H0UTFJtHcUbVtNaprx827L9a2bt4JoVIFM5XvscoVzUl9lPHSOrGQW37RYbSuWFVle+uKVbka8fT3VGtqaKClqYmWRun+xM3IysY7JBzXmoXO5TWrcCOomHYVFErTKqrtqmXN3HYVq2hX14NCsDI2VLkntqqF4oJ+SJz6UUyA2hUsiUwsuQuGqanpBIfGKf8FBEUTHZOEc+OqyjS6Olo41q+E1+3Hl0/71nX4dFZPvvl5P+5n1T/SaUg/Z8aPbsPsL7f/3zx2R7y412JEdtiwYdja2rJkyRJsbW3R1tamRYsWpKenk5OTg4bG439SZ2dn06VLFxYsWFDkNSur0r05vrDkFMh7bF92NoSEw+37YGoCubcZlanNR67zdq/mBIbGEBQeyzu9WpCalsGhi3eUab4c303x35UHAfj3pAdDOjoxY3g7/j3pSaOaFenVqj6frMifelq/egWszYy49yASKzMjJvR1RVMT1h+4okzz4ZC2nL7hR1hMAuYmBozr7UI5PR32niv+PoqntenYNcZ1b05AWCyB4bGM76GI68Cl/Li+Gqu4/+TztYpn7G1392RoOydmDXFjx6mbNKpRkd6uDsxdmR/XNncPhrRrxEdD27H1hAcVLUyY1NuVbe7595lO7d+aMzf9CYtNxFBPh27N69K0dmXllOeSstLrCj+79cQjMpQr4cG8VdcJGwMjNube8/qxcxucrGyVj81xsa3Mmi4D+Pv2DXb53FZeBc/KySbmkeLHy9EgH75p05WR9Zxwf+iPjYERn7u052ZUmNpHIZS0Vdeu8mPX7niEh3E1JIQRDR2xNjRk401FTB+1bE2jChUY+a/imaot7Cqxqm9/Nnh6sPvubeXITHZODjGp+T/I6lkq2r2Rri7ZOTnUs7QiIzsLn5iYUo8JYM2Fa3zXrxuewWFcexjC8CaOWBsbsuWqYiRoRodWOFaswNgNO5T71LAsj46W4t5DQ11d6tooYrgTrnh8VY/6tfmubze+O3qay4EPscy9yp+RlUX8o7SXEhfAlkPXGdunOQGhMQSFxfJOnxakPsrg0IUC55AJueeQPw8qt9WyV8RjqK8ok1r2VmRmZuEfoigTbS1NqtlZAKCro42FqQG17K1Ize1Mv2y71p9j2MR2PPCLIjggiuGT2pOaks7JvTeUaWYuHgTAj3O3k5WZTaCP6roMcTHJZKRnFdleGtaeu8a3A3LrXFAIw5o5YmVsyJbLuXWuUysa2lXg7XWKOrfX8w5T3FxY3K8rf5y6SFULc95t3Yzf3S8oj1nVwgxHO1s8HoZioq/HWNem1LK2YM7O/OeUTmzbHM+HYTyIjUdXSwu32lXp06geC/afLJU439RzBsA/+64xZkALAoNjCAqNZexAF1IfZXDkTP598J++r2hbC34r0Laq5rUtPXJyFH9nZGYR8FCR952HPRjYzYlpb3dgx8HrVLAyYdyQluw8fOOlxZZn5a0r/NQm93ss4iEjld9jirx83LQtjSxteevQVgD613AgLSuLu7GRpGdl4WhZgY+btuVAwF3Ss0v3UTQAa89e49tB3bj5MIzrgSEMba44l2+9pGhX07u0omGlCryzWtGu9nncYUoHFxYN7MofJy5S1dKc8W2bsex4frva53GHSe1asHBAF34/fgHjcnrM7dWOQzfvEZOsqJPvdXDBIyiUwOg4jMrpMtLVidoVLPlqz7FSjXfb7iuMGupK4MNoHgbHMmqoK6mpGRx1z6+D82b0AGDRT4rfSh3a1uWTmT1ZtuokHrceKu+nzcjIUi7mNGxAc8aPbsPCH/byMCRWmSYtLYPkJzzO7E3wcp54/GZ65TuyMTEx3L17l++//562bdsCcOPGDTJzV0qsU6cOW7ZsITU1VTkqe/Wq6shSo0aN2LlzJ5UrV0ZHR3XVt5ft1l0YMy2/4/3bGsW/ft1yWDz3MTu+JOsPXEZPV5uPR3bA2LAct/zCmPrjDpVn1FUob6yyT0hUAtN+3sn04W4MbOdIZFwyP2w6oXyGLICetjaTBrTCzspUcQP/TX8+X3mApNT8H9jW5kYsmNQDMyN9YhNT8fIN5Z2FmwmLfvEO07pDVyino83s4R0wMdDDyz+M9375V+UZskXiik5g6tKdzBzixqC2jkTGJ/Pd1pPKZ8gChMcmMeWXf5kx2I3Nn44kOiGZ3WdvsXJ//r05FiYGLHinGxYmBiSlpnM/OIqpS3eqrKJcEvb63cVcT5/3nVyxNjDkXmwUYw/tIDhJcQXX2sAIexMzZfpBtRpgoKPLRMfmTHRsrtz+IDGe1lv/BGD7/VsY6egyxqExn7ZoR2J6GudDglh06eXcN7Xv/j3M9fV5v3kLrAwMuRcdzTu7dyqfB2llaIi9af7K1gMd6mOgo8OEps5MaJo/M+NhQjxt16zKP+5bo1Tep1P1GkXSlKYD3vcw1y/H5DbNsTYy5F5kNBM271Lez2plZEhlc9UVu/8c3o9KZvnbdk8YCUCdr38GYFgTR3S0tPikazs+6dpOme5iwANG/729lCPKt35/7jlkdAeMDXLPId+rnkNsCrU1gI1fq5ZJ28Y1CImMp98sRZlYmRuppKlsY8aADo24evsBk7/ZVkrRFG/bqlPoltNhyme9MTLR567nQz4Zv0blGbLWtmYvPV/FOXDrHmYG5ZjctjlWxobcj4hm4kbVOmdfoM4lpaUzbv0OPuvZge0TRhD/KI01568pnyELoKmhydiWTahmYU5mdjYX/R8wfOVWlRFbQ10dvujVgQomxjzKyMQ/KoY5/x5in1f+go0l6U09ZwBs3K1oWzPGd8TYsBzePqFMW7BdtW1ZmhTZb+33o1X+bu1cg9CIeAZNWQlARHQi0xfsYOqYdqz9fhTRcSnsO+HF2h0XihyrtO31v4OZXjmmNnJVlF9sFG8f2U5wcu73mL4hVYzNlOmzsnN4z9GFqibmaADBSQmsv3OdVbeuqH+DEnbwpqJdTWqX267Co5m4fhchcYr6ZmlsSOXyhdrVmh181rsD294bQcKjNNaevabyDNmU9AzGrdnBJ73as3XycBIepXHM24efDp1RpjEup8f8fp2wNDYg8VE6t0MjGP3XNm4+LN2LYpu3X0JPV4fpkztjZFSO23dDmfXZPyrPkLW2Uq2Dfbo7oa2txQcTO/LBxPz1S657BjFt7hYA+vVqjI6OFl/OVb2V8MDRm3zzc+kvLileXxpxcXGv9MTs7OxsatWqRfv27Zk3bx4hISF8/vnneHp68ssvv9C3b18aNWpEx44dmTFjBmFhYcybNw9vb2/27t1L69atCQ0NpU2bNri4uDBt2jQsLS0JCAhg586dLFiwAGPj/B9VxqnNyjDa0tNi3qSyzkKJy9Ip7cmtZSO6Wdk/I7M0aCWX/FTCsqaT8GbWQVOfV/pr4blZXI4q6yyUOP/BL3dW0cuSXv7NrIO2Z968uIJ7lP7IZ1kw8CnbgY/SYnUj48mJXkN7Nk0s6yw8t+Sk4p/D+7IZGr28Jx2UhFf+HllNTU1Wr17NrVu3cHV15aOPPuKTTz5BT08PACMjI7Zs2cLt27dp27Ytn332GbNnzwagXDnFY1tsbW05dOgQmpqaDBw4EBcXF2bNmoWurq7yOEIIIYQQQgjxMmWR88r8e9288lOLAdzc3Dh//rzKtuDg/BvBmzVrpvLM2H379qGhoUG1atWU22rUqMH69etLP7NCCCGEEEIIIUrVa9GRfZJNmzZRtWpV7OzsuH37NnPnzqVbt25YWFiUddaEEEIIIYQQQpSwN6IjGxkZyeLFiwkPD8fa2pquXbvy5ZdflnW2hBBCCCGEEKJYWa/fjN5XxhvRkf3www/58MMPyzobQgghhBBCCCFegjeiIyuEEEIIIYQQrxt5juzze+VXLRZCCCGEEEIIIQqSjqwQQgghhBBCiNeKTC0WQgghhBBCiDKQhUZZZ+G1JSOyQgghhBBCCCFeK9KRFUIIIYQQQgjxWpGpxUIIIYQQQghRBrLlObLPTUZkhRBCCCGEEEK8VqQjK4QQQgghhBDitSJTi4UQQgghhBCiDMiqxc9PRmSFEEIIIYQQQrxWZERWCCGEEEIIIcqAjMg+PxmRFUIIIYQQQgjxWpGOrBBCCCGEEEKI14pMLS6kxbxJZZ2FUnFx0R9lnYUS5zx/cllnoVRYXHkzm6VhWGZZZ6HExdR9M8sqs9ybOc0prJ1VWWehxGXrlXUOSodu7JtZB5Nt3ry49B68mWMij6zfzId7aie/ed/Fr7vsnDfvvPCyvJlnHyGEEEIIIYQQbyzpyAohhBBCCCGEeK28mfPihBBCCCGEEOIVJ6sWPz8ZkRVCCCGEEEII8VqRjqwQQgghhBBCiNeKTC0WQgghhBBCiDKQJeOKz00+OSGEEEIIIYQQrxUZkRVCCCGEEEKIMiDPkX1+MiIrhBBCCCGEEOK1Ih1ZIYQQQgghhBCvFZlaLIQQQgghhBBlQJ4j+/xkRFYIIYQQQgghxGtFOrJCCCGEEEIIIV4rMrVYCCGEEEIIIcpAVo6MKz4v+eSEEEIIIYQQQrxWpCMrhBBCCCGEEOK1IlOLhRBCCCGEEKIMZMu44nOTT04IIYQQQgghxGtFRmSFEEIIIYQQogzIc2Sfn3RkX8C7fV3p79YQY4Ny3PIL5bsNx/ELiX7sPk1qV2LaMDeq21kQFZfE+gNX+Pekp/J1LS1N3u7RnJ6tHLAyNyIwLJbftp3mvFeAyvtO6Ouqctzo+GS6TV9RovE9i8sesGYL3LoHEVEaLJqTQ//uZZYdtSb2dGFAa0V5eQWE8s2WE/iFPqG8atkxc5Ab1W0tiIxPZt3hK+w4nV9evV0cmD+ma5H9XKb+SnpmFgBvd21GB6eaVLExJyMzi5v+YSzdfQbfJ9SVp4qpV6GYNj9DTBUtiIxTE5NrMTG9nx+TpoYGE3u50KNFPSxNDYmKT+bApTus2HuerOycF47rabw9rCV9ujTC2FAP7/uh/LTiKAEPio+9rUst+nZzonY1a3R1tQl4EMX6bRc4e9n3peR3mIsjb7d1xsrYEJ/waL7Z6861gOBi09eyseCTvh1oWLkC8SmP2HbJk+XHLqpN26RKRdZMGIx/ZAz9lvyt8pqhni4fdGlJl4a1MDMoR1hcEksOneXQzXslGl9BE3u5MKBNbr30f4Z6ObhQvTzlqZLGsJwu7/VtSacmtTA1LEd4bBK/7TrLkaslH8vEni4MbJXfthZvfXIMTWvZMWOgGzXyzhdHrrD9tKfatN2c67D4nR6cuunHh8t3q7xmaWLIB/1a07p+VQzK6RIcFc+iLce4er/4+vI8RjRxZJyLM9ZGhtyPjGbRUXeuPFD/HrpaWnzVvSMOFaypYVGeaw9DGLVxe7HHblqpIn+PHIxfdAy9/vq72HQvangzR8a1zG1XEdEsOujO1aDiP6fa1hZ81qMDDe0qEJ/6iK1XPVnmrtquRjRrxFvNG2FnZkpofAJ/nL7Ebo/bKmlGtWjM8GaOVDQ1IS41lWN3fPnx6BlS0jNKLLZJPVwY0KohJvrl8ApU1EHfsCfUwZp2zByQXwfXHr3C9jP5dbBz41qM7dwMe0tTtLW0CIqMZcOJ6/x30VuZZmjbRgxs1ZCK5U0A8A2LZuXBS5y+5V9iseUZ4ezIOFdF+d2PiGbR4eLLT1dLi/k9O1Lf1prqluW59iCE0etV66CVkSGzO7elvq01VcqbsdvzNnP3HC7xfD/JSMdGvNvEGWtDQ+5FR7Pg1Ekuh6iPq4VdJd5p3IRGFSpgrKtHYHwca65fY5v3LWUaKwNDPmnrRn0ra6qambHzzm0+PnLoZYWjYvTYNvTs5YSxcTlu3w7h1yWHCAyIKjZ96zZ16N2nMTVrVUBXV4vAgCg2bjjH+XP3VdINGNiM3n2bYGNjQkJCKufO3OfPP4/zKLXk2pR480hH9jmN7t6Mt7o2Zf6qQwSFxTCujwu/zRrIoHlrSHmkvtFVtDRhyfT+7Dntxed/HcCplh2zR3YgNjGVE1cVDXpy/1b0aFmPhWuPEBAag0v9Knz3fh/GLdrMvaBI5bECQmOY9O0/yr+zcl5O56E4KalQqxr07QpzFpVtXtQZ08WZkZ2a8sX6QwSGx/JuDxeWfzCA/l+uJSWtmPKyMGHplP7sPufFp2sO4lSjInOGdyA2KYXj132U6VLTMujz+WqVffM6fADOtSux7ZQHtwLD0QAm9W7J8g8GMuirdSSkpL14TOtyY+rpwvIPB9D/iyfE9H6BmGo+JqbPio9pbFdnhrRz4ou1h7gfEkUtO0u+GtOV9MwsVu5X39kqSSP6N2dY32Ys+vUAQcExjB3qys/zhzDivZWkFtP+nOpX5ppnICs3niYh8RGd3RxYOKcfH3y2BU/vku0gFNbNsTZzerdjwa7jXAsIYZirIyve7kefn9YTGp9YJL2hni4rxw/kin8wQ3/bRDUrcxYO7kpKegbrTl9TSWuir8eiId246BuEtYmRymvampr8NW4ACamPmLlxH2EJSVQwMSI9K4vSMqarMyM7N+WLtQXq5bQB9P/8CfVyam69XJ1bL0d0IDYxv15qa2qy7MMBJKQ8Yvaf+wiPS8LGzEilXpaUsZ2dGdVRcb4ICI9lQg8X/pg6gH7znxDDe/3Zfd6LT9cqzhdzhyliOHbDRyWtnYUp0/q34dr9h0WOY6Svx5pZQ7nhG8zUZbuITUqlkqUpMYmpJRpjj3q1+aRzO+YfOs7VByGMaOrIX0P70ePP9YQmFK2TWpoapGVmsfGKB241qmJcTq/YY5uU0+O73t04HxCEjbFRseleVPf6tZnXrR1f7TvO1aAQRjRz5M+R/ej1e/HtatXogVwJDGbwX5uoZmHO4n5dSU3PYM15Rbsa5uzIzM6t+XzPUTyCw3C0s+Hr3p1JSE3jxD0/AHo1rMNHnVvz6Z6jXA0KppK5KQv7dEZPW5tP9xwpkdjGdnJmVIemfL5BUQcndndh+dQB9Pvq8XXwt8n92XXBi0/WHaRxjYrMHao4v+fVwbjkR6w8eBH/8Bgys7Jp26A6X4zoTGxiCme8AwAIj03kl91nCIqIRUNTgz4tHPhpQm9GfLuJ+yHFd1ieVXeH2szr2o75+3ProLMjf43oR89lxdfB9MwsNlz2wK2m+jqoq6VFbEoqf569zJAmDUssr8+iZ63afNa2HZ+fOM6VkGBGOjZidd/+dN2wjpDEonE1rViRu9FR/Hn1ChHJybStUoWFHTuTlpXFnrt3AEVcMamp/HHlEsMaOL7skJSGDXdh8JDmfPfNXh48iGHU6NZ898Nwxo5aQWpqutp9GjWy5/r1QFavcicx8REdO9Vn/tcDmTltIzdvPgCgQ0cH3p3Ynh+/38/Nmw+wtTVj1sc90dXV4ofv97/MEMVrRu6RfU7DOzdm3f5LnLh6H9/gaOavPIRBOV26tqhb7D4D2jUiMi6JHzadICA0hl2nbrL3nDcjuzZVpunRsh7r91/mrKc/wZHx7DjpyTlPf0Z2dVY5VlZWNtEJKcp/cSX8I+dZubnA9AnQtR1ovoK1akSHJqw9dJnj133wDYnmi3UHMSinS/dmxZfXoDaORMYn8d0/J/EPi2HnWS/2XvBmdKemKulycnJUyiI6IUXl9SlLd7LnvDe+IdH4hETz2dqDmBvr41TD7sVi6lgoprW5MTV/TExtc2PamhvTGS/2nvdmdOdni6lR9Yqc8vTj1E0/QqMTOOXph7unHw2rVnihmJ7WkN5N2bDjIu7n7+EfFMXCXw5goK9L57YOxe7z66rjbPz3ErfvhxEcFsfaree46xtOmxa1Sj2/Y1o3YfdVb7Zf9sIvMoZFe04SmZjMUBf1P0h6OdWlnI428/45iE94NEe8fFjlfpkxrZsWSfvVwM7svubNjaDQIq/1d65PeUMDpq7fw7XAEEJiE7gWGILXw/ASjzHPiI5NWHvwGeulmyORcUl8t6VQveySH2+fVvUxNzZg+rI93PANITQ6gRu+IXgHlnwsIzo0Yc3hyxy74YNvaDSfr3/688W3TzhfaGtqsvid7vy+5xwPo+KLHGdsZ2ei4pP5bN0hbgWGExKdwKW7D/APiynRGN9u3oSdnt78c8ML3+gYvj58ksikZEY0UV8nUzMy+eLgMbbeuElYYtJjj72oZ2d23vTmRnDROlmSxro2YecNb7Zd88IvKoYFBxTtariz+hh6N6yLvo42c3Ye5H5ENIdv+/DX2cuMdc0vo76N6rHtqhf7vO7yMDae/V73+OfqTca3zv8Obly5Ih4Pw9jjeZvguAQu+j9gt8dtHCuV3PnvrfZNWHMkvw5+9vdBDPV06e5cfB0c3Dq3Dm47iX94DP+e8+K/i96M7pgf3+V7Dzjh6UtAeCwPo+LZdPI690MiaVwz//vo5E0/znoH8CAqnqCIOH777xwpjzJwrGZbYvEBvO3ahJ0e3my7nlt+Bx9ffqkZmXyx/xj/XLtJWIL6Ohgcn8DCQyfZ6eFNfOqjEs3v0xrXpCk7bnuz9dZNfGNjmO9+gsiUZN5q2Eht+mWXL/HT+XNcDQ3hQUI8G296csjnPt1q5n83BScm8JX7CXbc9iY+rWziAhgwqDmbN53n9Km7BPhH8u3i/zAw0KVjp/rF7vP7b0fYsuk8d++EEhIcy9/rznD/XhitWtdWpqnfoBK3vUM4esSL8LB4blwP5Mihm9R1eLHfSa+LrBzNV+bf6+b1y/ErwM7KFEszIy56BSq3pWVkcv3uQxxrVix2v4Y1bLl4K1Bl2wWvAByq2qClpSgKHW0t0jIyVdKkZWTSqJbqce2sTNn34wR2fTuOhRN7YGdl+qJhvbHsLE2xMjXk/O2C5ZXFtfsPcaxRfHk5Vrflwm3V8jrvHUi9KjZoF+it6+lqs2/BOA4sGs8v7/WlTiWrx+bHUE8XLU1NElKe/8tIGZO3mpiqPyEm76eMaeE4DizOjamyakzXfUNwrlOJqjbmAFSzLU+zOpU5UwpTzwqztTHForwRl28EKLelp2ficesBDeoWH7s6Bvq6JCaV7o8CHS1NHOxsOHtf9XM/dz8Qpyrq89uoii1XA4JJKzDaePZeIDamRtiZmyi3DXNxxNLYkBXH1Y+Cd3CowfXAEOb1aY/7JxPYM30073VyUSnrkvTYevmsbe2War1s16gGHr4hzB7WnsPfTWD7F6OZ2KvkY7GzKOZ84fOQRo9pW42q2arsA3BOTdua0rcVITEJKlM5C2rfqIbiNoFxPTj27US2zH2LoW7qfwA/Lx1NTerb2nDGXzW/Z/0DaVzp2dpQYSOaOGJpaMiys6U7M0NHS5P6FW0461soBt9AGldWH4NTZVuuBKq2qzM+gdiYGGFnpmhXulpapGeqfgc/ysykoV0FZTleDQqmbgUrGuV2XG1NjWlfpzqn7geUSGyPq4NOjzu/V7Pl/J1C7eh2IA72NsW2k+a1K1PVujzXfNTPStHU0KBr09oY6Ong4R/yHNGol1cHi5SfX/Hl9zrQ0dSkgbUNpwMDVLafDgykie3Tx2Wkq0f8o7LrsKpja2uGhYURVy/nf8+np2fi6fGA+vWfrcOpb6D63et18yE1alpTz0HxGVlbm+DaqhaXLvgUdwghgNesI3v27Fk6deqEnZ0d9vb2dOzYEW9vxY+Bixcv0qNHD2xtbalXrx4zZswgISEBgDNnzmBpacnp06eVx1q9ejWVK1cmICDgmfNhYWIAUGSUKiYhBQtTw+L3MzUkJr7oPtraWpgZ6QNwwSuQ4Z2bUKWCORoa0NzBnvZNamJZ4Li3/EKZv/oQH/78L4vWHcHC1JBV84ZhaljumWP5f5BXXjGFyysxBcvc19TvZ6i2jHW08ssrMDyW+X8fYfofe5i3+gBpGVms/mgola3Mij3urCHtuPMgAk+/5x+tKDamhBKIKSyW+euPMH35HuatOkBaZm5M1mbKfdYeusz+i7fZ/sUYLv7+ATu+GMPeC95sc1d/P2BJsjBTtIWYuGTVOOJSsDAvvv0V1r97Y6wtjTl0Un2HoqSYGeijraVJdJLq5x6dlIKlsfqysjQyLJo+UfG3pbEixlo2Fkzu6MLsLQfILubWgkrlTenasBbaWppMXruLpUfOMbSFI9O6tXrRsNQq0XqZqFov7axM6dRUEcuHv+1i2Z5zDGzryPv9SzYWS1P1MUQnpCjjKy4GdeeYgjG41LOna5PaLNx0rNjj2FmaMrhtI4Kj4nlv6b9sOnGdD/q2LtHOrLmBPtqamkQlq+Y3KjkFS8PiY3yS2lYWvN/GhVm7i6+TJSUvhuhCMUQnp2BppD4GKyNDtenzXgM44xvIgMb1aVDRBoAGFW0Y1KQBulpamBsoynG/1z1+PnaWv98ews3PPuDE9PHci4jihyOnKQl5bSWvzSvzmvj4Omipph1FFzq/AxiV0+Xcj1O4/MsHLJ3cj2+3n+Bs7rTiPDUrWnDuxylcWvIBnw7tyIy//sOnBNZ1yFNcHYxOTsHqBepgWTPXz40rpVDbSnn6uDpUq0bLypXZ7HWzNLL43MzLK9pIbKzqd29sbDLm5Z/+FoK+/ZpiZWXMkcP58Z047s3qle78/MsoDh2dzeZ/3sffL5I/V5womcyLN9Zrc49sZmYmI0aMYNSoUfz1119kZGTg4eGBlpYWt27dYsCAAcyZM4elS5cSGxvL3Llzef/991m/fj2tW7fmgw8+YNKkSZw5c4bIyEg+/fRTfvjhB6pWrfrE9+7mUpe5ozsp/56+ZJfi/xT6otbQAJ7w3Z1TKIFG3kplucf6cfMJPhnTma0LxpCTA8GRcfx39ha9W+VP2zh3M0DlGDd9Q9n17Th6tnJg02HV++f+H3VvVpdPRnRU/v3Bsl2A+s/+Sb+1iryeV1y5x/L0D8XTP79D6uEbwuZPRjKsvRPf/3OyyPFmDGxL4xoVeefHf57ph1735oVi+n2XSj6U2dPQeFIVLPr608T06UiGtcuPqYtzbXq2cGDe6v34hURTp7I1s4a0Izgqnt3nbhV+hxfSuW09Zk3uovx79oIdatNpaKgpr2K4udbmvbFufPnDf4RHJpRENp+oaN4eX/+KrXs5OehoafHDiJ78sP80wbHF519TQ4OY5BS+2HGU7JwcvIMjMDPQ5+Nebvyw/8V/dHdvXpdP3ipQL3/bpcjj89TLYhLkHUtTQ4OYxBS+/lsRy+2gCMyM9Jk52I0lO54/lu7N6vLp8AIxLN+l8r55NDSe4nxR6G+NAm3LzLAcX43qytw1B0hMLf7eeE0NDbyDwlm6+ywAdx9GYm9tzhC3Rmx193iqmJ6XxgusnKmjpcXP/Xry7bHTPIx/OW0KitYbDR5f14qmz92eu9cy9wtYGhmwedxQNDQ0iE5KYdcNb95t3YysnGwAmlWxY7JbC77adxzPh6HYlzdjXvd2TG3vytIT5585hh7OqnVwal4dLPIb4wXqYIEdk9PSGbp4AwZ6ujSvU5mZA9wUU9jvPVCmCQiPZejiDRgblKOjU02+GtWV8b9sw/cJC549q6LhPPlc8Tp62u+nprYV+blrD75yP4FneFjpZ+wxOnaqz/SZ+at2zpujWJelaL0ser4sTpu2dZgwqQMLvtpFRHj+ecKxkT0jR7fi1yUHue0dQkU7c6ZM7czYt9uyds2pEojm1ZYtqxY/t9emI5uYmEh8fDzdunWjWrVqANSurZhfP3HiRPr378/UqVOV6X/88Ufatm1LZGQkVlZWzJ07lxMnTjB16lSCgoLo2rUrI0aMeKr3PnXDFy+//BOKrrYWoBhhDY/Nv0/D3NiA6ITkIvvniY5PLjJia26iT2ZmFnHJiikWcYmpfPTbHnS1tTA10icyLon3B7UhRM29VHlS0zLwC46mcu40z/937p6+eAXkd8R0tBXV3MKkcHnpF7niXVB0QrJydCZPeWMDMrKyiC9mOmp2Tg63A8OxLzB6mWfmIDe6ONdh4s/bCH5Mearj7uGLl/9TxpTwhJhMXjymaQPa8vfRqxy+olgt1ickmgrljXmnW/MS78ieueSD970Cseso2l95M0MiovIXzjA3NSgySquOm2ttPp3Wg4VL9r+UFYvjUlLJzMouMvpqYaRfZNQ1T1RSspr0uaM0SSlYmRhS08aCBYO6sGCQopOvqaGBpqYGHgs/ZPLanZy7H0RkYjKZWdkqF018I2Iw0NXB3FCf2OQXu7e+ROvlE9paVHzRWPxDY9DX08HMSJ+4pOeL5WnPF+WN9Yl5wvmi8GiZuVF+DI1qVMTKzIg/PhiofF0zt5dxeemHDPp6PYERsUTFJxdZHdk/LIYR5o2fKz51YlNSyczOLjL6amGoX2SE7GlZGxlSy8qCxb26sLhXgTqpoYH3nA95d+tOzvoHvXDe8yhjKDT6Wt6w+HYVmZSsJr3i76jcfdIys/hk9xG++O8YFkYGRCYmM6RpQ5LS0ohNUdSxDzu0Yt/Nu2y/5gXAvYho9HV1WNCnM8vcLzzzyu0nb/pys0Ad1M2tg5YmhoTHFaiDRo+vg1GPO78n55/fc3LgQe530N3gSKpVKM+4rs1VOrKZWdm5aeLxDgqnvn0FRrZvwvxNJbOYVV75FR6lfJE6+CqITc2tlwaF4tI3KDJKW5hzxYqs6tOfJRfOsfFm6c9uepJzZ+9z+3b+dHLld295IyIj8797zcwMiYt58ndvm7Z1mDOvD98u/q/IisXvjHPj+DFv9u9TXKzz949EX1+HmR/1ZP3602RnvYmXN0RJeG06subm5owYMYKBAwfi5uZG27Zt6devH5UqVcLDwwM/Pz927typTJ93xcjf3x8rKyt0dHRYuXIlLi4uWFlZsWfPnqd+75RHGaQ8ilPZFhWXRPP6VfAOUCw0oquthVNtO379p/grRzd9Q2nXpIbKtha5x8jKylbZnp6ZRWRcElpamnRoWoujl+8We1xdbS2q2ppz9c6DYtP8P0lJyyAlUrWjGBmfjEs9e+XCMLraWjSuaccv/xY/kuPpF0o7J9XycqlbhduB4WRmZxezF9SqZMm9h5Eq22YNbkdX59pM+Hk7AeGxzxpSycbUqFBM9Z4iJjvVmMrpapNdKH12dg4aGiV/VTH1UQbBYXEq26JjkmjmVIU7PooLTLo6Wjg6VGLZWvfHHqt9qzp88kF3Fv56gJPnS+/xMwVlZGXjHRxOy5pVOHwz/8vbtWYVjnjdV7uPR2AoM7q3RldbS7kqr2tNe8LjkwiOTUBbU5O+P69X2We4SyNca9nzwd//EZI7Sns9MISeTnVURgOqWpqRkp7xwp1YeEy9dFBTLx8zaqq2Xjqo1ksP3xC6NVONxd7GjNS0jOfuxD42hrqFYqhhx5Kdxcfg4R9K+8e0rVuBYQz6WrXMpvRpiYlBORZvOU5wtCIPN/xCqGJTXiVdFWszQmNKbpQzIzubW6HhtKpWhYN38utgy6pVOHxXfZ18kvDEJHr+pRrfiCaNaFXNnik7/iM4rmRHaTOysrkVEk6rGlU45J2f51Y1qnDYW30MNx6EMquzartqVcOe8ISkIvnLzM4mPHdBoZ4N6nDynr+y3unraJOdo+b895yxpKRlkJKmvg7eClKtgz/vekw78g+lvWPR7yzvoMef3zU1NJQX6ItPwxPTPIu8OtiyehUO3i5QB6tX4fDt56uDr4KM7Gy8IsJpbV+FAz75cbS2r8JBn+LjalbRjlV9+/PLhfOsuXH9ZWT1iVJT00kNVl2JODo6iabO1bh7V3HhRUdXi4aOlfnzj+OPPZZbu3rMntuLbxfv5ZT7nSKv6+kV/U2RJZ1X8RRem44swLJly5g8eTLHjh3jwIEDLFiwgI0bN5Kdnc3o0aN57733iuxja5u/yt7ly5fJzs4mPj6e6OhozMzMnjsvm49c5+1ezQkMjSEoPJZ3erUgNS2DQxfzG+iX47sp/rvyIAD/nvRgSEcnZgxvx78nPWlUsyK9WtXnkxX5S4vXr14BazMj7j2IxMrMiAl9XdHUhPUHrijTfDikLadv+BEWk4C5iQHjertQTk+HvSU8EvYsklMg79Fv2dkQEg6374OpCeTealSmNh2/xrhuzQkIiyUwIpbx3RXldeByfnl9lfvs1M/XKZ7Ntv20J0PbOTFrsBs7Tt+kUY2K9HZ1YO7q/PKa0NOFm36hBEXGYVhOl+HtnahpZ8miAvfAzRnWnh7N6zFzxX8kpDxSjtqkpGWQWsxjFJ4qpmPXGNddTUyXCsQ0NjemtbkxnSomplWFYvIPJSiiQEyVLFm0OT+mUzf9GNu1GcFRCfiGRlO3shUjOzVh7wXVZy2Wln/+u8rowS4EPozhQUgsYwa7kPoogyOn8u93/eTDHgAs/EURW8fWdfl0Wg9+X3sSj1sPKZ97r21GZlapL/i07sw1vhnSjZsPw7geEMIQF0esTQzZelFx1X1a11Y0rFyBcSsV06b33bjDe51cWDi4KyuOX6SqpTnj2zVj2bELgOJHtk+46qhddHIK6ZlZKtu3XvBghGsj5vZux6ZzHtiZmzClsytbzpfeFFWVehkey/geT1Ev3XPr5RA3dpwqUC9X5tfLbe4eDGnXiI+GtmPrCQ8qWpgwqbcr20phuq3yfBGuiOFdNeeLr3PPF58VOF8Mc3Ni1iA3dpy5iVP1ivRxyT9fPErPLDItMzElDS1NTZXtG45fY+2soYzr1pzDV+9Sp5I1w9o35rfcqcYlZc2la3zXpxueIWFcexjCsCaOWBsbsvmaok7ObNcKx4oVGLMpfyp/Dcvy6Goq7hU10NWlnrViEbjbEZFkZmdzP1I1vpiUFNKzsopsLylrz1/j2wHd8AwO41pQCMOcHbEyNmTLFUUMMzq2oqFdBd5er4hh7807TGnnwuJ+Xfnj1EWqWpjzbutm/H7ygvKYVS3McLSzxeNhKCb6eox1bUotawvm7Mp/ZueJe36MdW2CV0g4Hg/DqFLejA86tOTkPf8Se472xhPXGN+1Of7hivP7u91akJKewYErBergqNw6+Lcib9vOeDKsrRMfDXRje14dbOHAnLX57Wh81+bcDAjjYVQ8utpatK5flZ7N6/HttpPKNB/0ac3pW/6ExyZiUE6H7s51ca5Vmal/7CqR2PKsOX+N7/rn1sEHIQxvqqiDW67mll+HVjjaVWDs36p1UCf3fmVDXV3q2ijq4J3w/AuteduM9HTJycmhro0VGVlZ+EaV7MrfxVl17So/du2OR3gYV0NCGNHQEWtDQzbeVJyrPmrZmkYVKjDyX8UzcFvYVWJV3/5s8PRg993bytHc7JwcYlLzL9LVs8yNS1eX7Jwc6llakZGdhU/My4kL4N/tlxgxshVBQdE8fBjDyFGtSE1N59jR/N+fs+f2BuDbxf8B0L6DA3Pm9WbF8uN4egYp77XNzMgiMVHx3Xv+vA+DBjfn3t0wbnsHY2dnztvj2nLhvM//xWhs1uu1ZNEr5bXqyAI0bNiQhg0bMm3aNAYNGsTmzZtp1KgRt2/fpnr16sXuFxgYyMcff8wPP/zA0aNHeffddzl8+DDa2s/3Eaw/cBk9XW0+HtkBY8Ny3PILY+qPO1SeIVuhvLHKPiFRCUz7eSfTh7sxsJ0jkXHJ/LDphPIZsgB62tpMGtAKOytTUh9lcPamP5+vPEBSgXuqrM2NWDCpB2ZG+sQmpuLlG8o7CzcTFl30+WQvy627MGZa/vXo39Yo/vXrlsPiuWWWLaV1h69QTkeb2cM6YGKgh5d/GO8t/VfleXxFyis6gam/72TmILfcR2sk890/J1Wet2qsr8enb3XCwsSApEfp3H0Qwbs/buNWgUeCDHFzAmDFtEEqx1+x9zwr9l3gea07fIVyutrMHl4gpl+fIqbfdjJzsFvuo3iS+W5roZgMCsSUmhvTD9u4FZAf03dbTvBen5bMHd4Bc2MDouKT2XnGiz9fIJ5nsWnnJfT0tJkxoRNGRuW4fS+UGV9uU3mGrI2Vaux9uzVCW1uLD8d35MPx+fejXfcK4oNPt5Zqfg963sPMoBwTOzTHytiQ+2HRTFq7i9A4RZu1MjGkskX+yuNJaemMX7mDT/t14J/3R5CQmsba09eKPEP2ScLik3h31b983MuNHR+OJCoxmZ1XbhW7ynFJWHcot60VrJe/PEW9XLqTmUOKr5fhsUlM+eVfZgx2Y/OnI4lOSGb32Vul8tzitUeuoKerzZyhuTEEhDG58PnCXE0My3Yyc6Abg/POF9tOFnmG7JN4B4YzY8V/TO3Tine7tyAsJpHl/53jn1Ml22Hff/seZvrlmNyqOdZGhtyLjObdrbsIyX1+p5WRIZXNVFfD/2tIPyoV2LZ7/EgAai/6uUTz9rQO3FK0q8ltm2NlZMj9iGgmbtxFSO4zZK2MDbEvr9quxq3fwWc9O7B9wgjiU9NYc+6a8hmyAJoamox1bUI1S3Mys7K5GPCA4au2qozYLj91kZwc+KB9SyqYGBObksqJe34sOVZyFxvWHlWc3+cOUdTBmwFhTP5NtQ7aqmlH7y/fyayBbrmP4knm2+2qdVBfT4dPhnbA2syYtIxMAsJj+Gz9IQ5ezZ/1ZWliwMIx3bA0Vnyv3QuOYsrynUVW5X5RB7zvYW5QjsltcutgRDQTNhUoPyNDKpur1sE/RxSqgxMVdbDOVz8X2ZanQ50aPIyLp+Ovqs9GLy377t/DXF+f95u3wMrAkHvR0byze6fyGbJWhobYm+bHMNChPgY6Okxo6syEpvmPeXqYEE/bNavyj/vWKJX36VS9RpE0pW3L5gvo6unwwbSuGBuX47Z3CLM/2qLyDFlrGxOVfXr1aYy2thZTpnZmytTOyu03bgQyc9pGADb8fYacnBzGvtMWKytj4uNTOX/uPqtXPn6WlRAacXFxr8WljoCAANauXUv37t2xtbUlICCAiRMn8s4779C9e3c6d+7MsGHDGDt2LMbGxty7d4+DBw+yZMkSsrKy6NmzJ2ZmZmzZsoWYmBhatmzJyJEj+fTTT1Xep9P0l3dCeJkuLvqjrLNQ4pznTy7rLJSO16JFPjvDsMwnJ3rNxNR97a4FPhW9Z5/9/lrIKbmZka+M5EplnYPSoZn+5DSvo3JRZZ2DkpdqXdY5KB0Zpm/ml3G1na/WY31Kyr+7p5R1Fp7bqeg2ZZ0FpbYWJbP6+svy2vwKMzAwwMfHh7FjxxIdHY21tTWDBw9m2rRp6OjosH//fhYsWECvXr3IysqiatWq9OzZE1As/OTn58e5c+cAKF++PMuXL2fw4MF07NgRV1fXsgxNCCGEEEIIIcQzeG06stbW1mzYsKHY1xs3bsyOHeofy/Hxxx/z8ccfq2xr3749UVFv4KVRIYQQQgghhHjDvTYdWSGEEEIIIYR4k2TLYk/PTT45IYQQQgghhBCvFenICiGEEEIIIYRQa+XKlTg6OmJjY4Obm5ty3aHiHDt2jM6dO1OpUiWqV6/O8OHD8fF5tlX8n4Z0ZIUQQgghhBCiDGTlaLwy/9T5999/mTNnDjNnzuTUqVM0b96cwYMH8+DBA7XpAwICGDFiBK6urpw6dYpdu3bx6NEjBg8eXOKfnXRkhRBCCCGEEEIU8fvvvzNixAjGjBlDnTp1+P7777GxsWH1avXPZvbw8CAjI4MvvviC6tWr4+joyPTp0/H39yc6OrpE8yYdWSGEEEIIIYQoA1lovjL/CktPT+fGjRt06NBBZXuHDh24ePGi2nicnJzQ0dFh/fr1ZGVlkZiYyObNm2nSpAkWFhYl+tlJR1YIIYQQQgghhIro6GiysrKwsrJS2W5lZUVERITafapUqcLOnTtZvHgx1tbW2Nvb4+3tzdatW0s8f9KRFUIIIYQQQgihloaG6v2zOTk5RbblCQ8PZ+rUqQwbNozjx4+zd+9ejIyMGDt2LNnZ2SWaL3mOrBBCCCGEEEKUgeycV3dc0cLCAi0trSKjr1FRUUVGafP89ddfGBgY8NVXXym3/fnnn9SvX5+LFy/i6upaYvl7dT85IYQQQgghhBBlQldXFycnJ06cOKGy/cSJE7Ro0ULtPqmpqWhpaalsy/u7pEdkpSMrhBBCCCGEEKKIKVOmsGnTJtavX8/du3eZPXs2YWFhvP322wDMnz+fPn36KNN36dIFDw8PvvnmG3x9fblx4wZTpkyhUqVKODk5lWjeZGqxEEIIIYQQQpQBdasFv0oGDBhATEwM33//PeHh4dSrV49//vkHe3t7AMLCwvD391emd3NzY+XKlfzyyy8sXbqUcuXK4ezszPbt2zE0NCzRvElHVgghhBBCCCGEWuPHj2f8+PFqX1u+fHmRbQMHDmTgwIGlna1X/BKAEEIIIYQQQghRiIzICiGEEEIIIUQZyMpR/xgb8WQyIiuEEEIIIYQQ4rUiI7JCCCGEEEIIUQayZVzxuUlHtpAsnTdzeN95/uSyzkKJu/JF0ZvL3wQNl7x5ZQWgkfXmnW6yypV1DkpHmllZ56B0JNXJKOsslDiHH+LKOgulIq6RRVlnoVTEOLx5P1itr2aWdRZKRZbum1dWABEz0so6C0KUmDezlQohhBBCCCGEeGO9eUMkQgghhBBCCPEayMqRccXnJZ+cEEIIIYQQQojXinRkhRBCCCGEEEK8VmRqsRBCCCGEEEKUgWzezIVmXwYZkRVCCCGEEEII8VqRjqwQQgghhBBCiNeKTC0WQgghhBBCiDIgqxY/P/nkhBBCCCGEEEK8VmREVgghhBBCCCHKQJaMKz43+eSEEEIIIYQQQrxWpCMrhBBCCCGEEOK1IlOLhRBCCCGEEKIMZOfIc2Sfl4zICiGEEEIIIYR4rUhHVgghhBBCCCHEa0WmFgshhBBCCCFEGZBVi5+ffHJCCCGEEEIIIV4r0pEVQgghhBBCCPFakanFQgghhBBCCFEGsnNkXPF5SUf2BUzs5cKANg0xNiiHl38o32w+gV9o9GP3aVLLjpmD3ahe0YLIuGTWHb7CjlOeKmkMy+nyXt+WdGpSC1PDcoTHJvHbrrMcuXoPgCHtGjGwTUNsLUwA8AuNZuW+S5zx8i+ZuHq6MKB1blwBoXyz5SnjGuRGdVsLIuNz4zqdH1dvFwfmj+laZD+Xqb+SnpkFwNtdm9HBqSZVbMzJyMzipn8YS3efwTfk8e9dmi57wJotcOseRERpsGhODv27l1l2VAxzceTtts5YGRviEx7NN3vduRYQXGz6WjYWfNK3Aw0rVyA+5RHbLnmy/NhFtWmbVKnImgmD8Y+Mod+Sv1VeM9TT5YMuLenSsBZmBuUIi0tiyaGzHLp5r8Rim9DbhQFt89vWt5tO4PeEetCkth0zhuS3rfWHrrDDPb8Orpg1COc6lYvs5xsSzZAv1gMwuF0jBroVaFsh0azad4kzN1+8bQ1v5si4lrnlFRHNooPuXA0qvrxqW1vwWY8ONLSrQHzqI7Ze9WSZu2p5jWjWiLeaN8LOzJTQ+AT+OH2J3R63VdIY6ukyrUNLujrUwky/HKEJSfx87CwHb714eQ1zceRttwJ18L8n1MEKhergxcfUwaoF6uDP+XVwUPMG9GniQE0bCzQ04E5IJEsPn+NaQMgLx1OcUXWdmNiwOVb6RtyPi2L+xeNcDn+oNq1LhcqMq++Mk5Utxrp6BCTEsvrWVf65f1Ml3eh6jRlTrwmVjEwITk7kN4/z/Otzq9RiKM5bUzrSfXAzjEz0uev5gN8X7CHIJ6LY9A2dqzF2ehcqVbNCr5wOESFxHNpxmR1rzijTaGlrMvTddnTq2xgLGxMe+kex+qeDXD1z/2WEBMC4ga707eiIiaEet3zC+GHNMfwfFn8OsTAz5IORbtSpakMlWzMOnvZmwR+HVNL0aFufzyZ3K7Kv2+glpGdklXgMBY1o6sg4V0Vbux8ZzaJD7lx9oL6t6WppMb9nR+pXsKa6ZXmuPQhh9N/bVdJ0rluTYU0ccahghZ62Nj5R0fxx5hLH7/mVahxP6+1hLenTpRHGhnp43w/lpxVHCXhQfPm1dalF325O1K5mja6uNgEPoli/7QJnL/u+xFyrGjfYlT4dHTEx0uPW/TB+XPXkOjh1tBt1quXWwVPeLFx2qEg6A31dJg5rRbsWtTE1LkdEdCJ/bD7D8fMl9x2sztCqzRhboxVW5YzwTYzkW68DXIsJeuJ+9obl+cdtEhpAi/2LlNudLarwYb1OVDWypJyWDqEpcewIusY633OlGIV400hH9jmN6erMyM5N+WLtIQLDY3m3pwvLpw2g/+drSUnLULtPRQsTlk7tz+5zXny6+iBONSsyZ0QHYhNTOH7dBwBtTU2WfTiAhJRHzP5zH+FxSdiYGSk7ewDhsYn88u8ZHkTEoqGhQW9XB358rzcjF27ifnDUi8XVxZmRnZryxfrcuHq4sPyDAfT/8glxTcmNa81BnGpUZM7wDsQm5ccFkJqWQZ/PV6vsWzAu59qV2HbKg1uB4WgAk3q3ZPkHAxn01ToSUtJeKK7nlZIKtapB364wZ1FOmeRBnW6OtZnTux0Ldh3nWkAIw1wdWfF2P/r8tJ7Q+MQi6Q31dFk5fiBX/IMZ+tsmqlmZs3BwV1LSM1h3+ppKWhN9PRYN6cZF3yCsTYxUXtPW1OSvcQNISH3EzI37CEtIooKJEelZJfcjbkw3Z0Z2acqXaw4RGBbLu71dWDZ9AAM+fUwdtDTh1w/6s/usF5+uPEjjWgXa1jVFHfxo2X/oaGsp99HR1mLrl6M4ciX/yz8iNpFfd5whKDwWTU0NeuW2rbcWbMLnBdpW9/q1mdetHV/tO87VoBBGNHPkz5H96PV78eW1avRArgQGM/ivTVSzMGdxv66kpmew5ryivIY5OzKzc2s+33MUj+AwHO1s+Lp3ZxJS0ziR+2NUW1OTVaMU5TVt2z7CE5KwMVE9nzyvbo61mdOnQB10cWTFO7l1MO4JdXBpbh0c8ux1sFn1Shz0uMu1wBAepWcyuk0TVowbwMAlGwiKjnvhuArrVa0uX7h05NNzR7gS/pBR9RqzrssgOv27ipDkonE2tbbjbmwkK25eIjw1CTe7aixu1ZW0rEx2+ykuMoys68QcZzfmnD3E9cgQnCxt+aZ1N+LTHnHswcv74T14XFsGjG3NT/O289A/ihHvdWDRynd4t8dPpKakq90nNSWNPRvO438/jLTUDByaVOGDL/rxKDWDfVsUFyXGfNCZDn0a88vnO3ngF0HTVrX57NeRzHzrD3xvh5Z6XCN7N2N4T2cW/HGQoJAY3hnoyi/zBjFsxmpSHqk/h+hoaxGXmMr6PZfo19Gx2GOnPspg0LSVKttKuxPb3aE287q2Y/6B41x9EMKIpo78NaIfPZevJzShaB3U0tQgPTOLDZc9cKtVFWM9vSJpmttX4kLAA5acPEt86iN6N6zHb4N7M2r99mI7yC/LiP7NGda3GYt+PUBQcAxjh7ry8/whjHhvJanFlJ9T/cpc8wxk5cbTJCQ+orObAwvn9OODz7bg6f3y4xnZtxnDejmzcJmiDr49yJUlnw5i+LTH1EEdLeITU/l71yX6dlJfB7W0NFnyyUASk9P47Oe9RMQkYl3emIzMzNIMh64V6zO7QXcWeu7jWkwgw6o2Z7nLSPqe+J2w1Phi99PW0OL7poO5Gh2Is0UVlddSMtPZ6HeR+4nhPMrKoHF5ez5z7M2jrAy2Blwu1XheNVnIc2Sfl4xlP6cRHZuw9uBljl/3wTckmi/WHsSgnC7dm9ctdp9Bbo5ExiXx3ZaT+IfFsPOMF3vPezO6S1Nlmj6t6mNubMD0ZXu44RtCaHQCN3xD8A4MV6Zx9/Dj3K0AHkTGExQRx++7z5HyKAPH6rYvHleHJqw9VCCudblxNXtMXG0ciYxP4rt/cuM668XeC96M7tRUJV1OTg7RCSkq/wqasnQne8574xsSjU9INJ+tPYi5sT5ONexeOK7n5eYC0ydA13ag+Qq1ljGtm7D7qjfbL3vhFxnDoj0niUxMZqiL+i+/Xk51Kaejzbx/DuITHs0RLx9WuV9mTOumRdJ+NbAzu695cyOo6A/O/s71KW9owNT1e7gWGEJIbALXAkPwehheJO3zGtGxCWsPXOb4tdw6uFpRB7u1KL4ODsxtW99vPklAWAw7Tyva1qgCbSshJU2l7jWuZYe+ng57zngp07h7+HHOK4CHkfEEhcexbNc5ktMycKzxYm1rrGsTdt7wZts1L/yiYlhwQFFew53Vl1fvhnXR19Fmzs6D3I+I5vBtH/46e5mxrvnx9G1Uj21XvdjndZeHsfHs97rHP1dvMr61szLNgMb1sTA0YMqWPVwLCiE4LoFrQSF4hbx4eY1pk1sHL3nhF/EUdbBxbh3cWqAOnrzMmDZq6uCg3DoYWLQOzt5ykE3nPbgTEklAVCxf7TxGSlo6retUfeGY1BnfwJnt973Ycs8Tn/gYvrhwjIiUZEbWbaw2/e+eF/jh2hmuRATzIDGeDXducDDwHt2r1lamGVCjPpvverLH7zYPEuP5z/8Om+96MNmxRanEUJx+o1uybaU7Z4/cItAnnB/nbkPfUI92vZyK3cfHOwT3A54E+UQQHhzLif9ucPXsfRo0rapM06FPY7atPMXlU3cJexjLvq0XuXzqLgPGti79oICh3Zvw955LnLx0H7+H0Xy9THEO6dKqXrH7hEUl8PO6E+w/dYuEpNRi0+WQQ0x8isq/0va2SxN2eniz7Xru+ePQ488fqRmZfLH/GP9cv0lYQpLaNAsPn+Svc5e5GRJOUGw8v5+6wK3QCDrVqVGaoTyVIb2bsmHHRdzP38M/KIqFvxzAQF+Xzm0dit3n11XH2fjvJW7fDyM4LI61W89x1zecNi1qvcSc5xvSowkbdl3i5MX7+D2I5uvfDipiaP2YOhiZwM9rTrDfvfg62KtdfcxNDZj93S487wYTFpmA591gbvuW3HewOqNrtGT3gxvsCLqKf1IUi732E/koiaFVmz12vxkOnbmXEM7hkKKzTbzjQzkY4oVvYiTBKXHsfejJuUgfmpSvouZIQqj3Cv00f33YWZpiZWrIee9A5ba0jCyu3X+IY42Kxe7nWN2WC7cDVbadvxVIvSo2aOf2kto1qoGHbwizh7Xn8HcT2P7FaCb2clG+XpimhgZdnGtjoKeDh++LTa1TxnW7BOLyVo0LQE9Xm30LxnFg0Xh+ea8vdSpZPTY/hnq6aGlqkpDy6DkjejPpaGniYGfD2fuqn/m5+4E4VVFfTo2q2HI1IJi0AiNxZ+8FYmNqhJ25iXLbMBdHLI0NWXFc/XTPDg41uB4Ywrw+7XH/ZAJ7po/mvU7F189nZWdpiqWZIRcKta3r9x7S6El10Lto23KoYoO2lvq89WvTgHNeAYTHqv+hp6mhQZdmirbl+QJtS0dLk/oVbTjrq5q/s76BNK6sPianyrZcCVQtrzM+gdiYGGFnpigvXS0t0gtdhX+UmUlDuwrK8uhYtwbXgkL4tHt7Ts+awN4po3m/3YuXl7IO3itUB+89pg7a23LV/xnqYDFTjovmRQtdbS0SUkv+PKGjqUlDiwqcCg5Q2X46xJ+m1k9/gc1IR5f4tPxZJbpaWqRlFS67DBpZ2qKt8XK+litUMqe8lQnXzuZP901Py8Trij8OTvZPfZwa9Wyp19iem1fyp9/r6GqTnq4aX3paBvWbVH3hfD9JRWtTLM2NuOQZoNyWlpHJjTsPaVi7+HPI09LT1ebfX99l928T+OGjftSuav3Cx3wcHU1N6tvacNav0PnDL5DGlV48noIM9XRIeFS237e2NqZYlDfi8o0A5bb09Ew8bj2gQd1ni9dAX5fEpJcfj7o6mJ6RicfthzSs82Jl1qZZTW7eDWHGOx34789JbPxpLOMGu6JVzPdcSdDW0MLB1JbzET4q289H+uJkXvR2HWVerWvR1qY2i2/uf6r3qWtSASfzylyJDniR7Ir/M29MRzYnJ4elS5fSpEkTrK2tcXBwYP78+QQGBmJmZsa2bdvo1q0bNjY2NGvWjOPHjz/3e1mYGAAQU2hEMSYhBcvc19TvZ1hkFDImMQUdLS3MjPQBsLMypVPTWmhrafLhb7tYtuccA9s68n7/Vir71axowZlfpnDh9w/45K2OzFz+Hz4veC9psXElPkdcCapxBYbHMv/vI0z/Yw/zVh8gLSOL1R8NpbKVWbHHnTWkHXceRODpV/pT0V4nZgb6aGtpEp2k+plHJ6Vgaay+nCyNDIumT1T8bWlsCCjuoZ3c0YXZWw6QnaN+GnWl8qZ0baion5PX7mLpkXMMbeHItG6t1KZ/Vham6utgdEKK8jX1+xmq3UdbO78OFmRvY4ZzncrsPHWzyGs17Sw4vXQK55d/wLyRHZm17D98gp+/bZkb6KOtqUl0cqH8JadgaaQ+JisjQ7Xp814DOOMbyIDG9WlQ0QaABhVtGNSkAbpaWpgbKGKubG5Kt/qK8pq0cRe/Hj/HUGdHZnR6sfJ6rjporKYOJhWqgxUsmNzJhdmbi6+DhX3QtSUp6Rmc8C75e/vM9QzQ1tQkKjVZZXtkagpWBoZPdYwOlWvQqmIVNt29odzmHuzPkNoNcbSsAEBDiwoMre2IrpYW5csVra+lwdzSGIDYaNULOXHRSZhbGqnbRcXfx2ez58ZX/PLPFPZtvsj+rZeUr109c59+o1piV9USDQ0NGrvWpGWn+pS3Mi7ZINSwMFWUS+GR0tj4FMqbPl2ZFScoNIZFKw4x+8ddfL50H2kZWaz4chiVKpi90HEfJ+/8EaXmfGBVzPnjeYxwbkQFY2N237z95MSlyMIst/ziVNtcTFwKFuZPX379uzfG2tKYQye9SzR/T6O8MoZCv4viU5T183nZ2ZjR3qU22tpazFr8L39tPUu/zo2YPKLNCx33ccx1DdDW1CI6TbVMotOSsCin/lxhqWfEl059mHf9X1Ky1N+mkOdo5xlc7fkZW9wmsjXgMtsCr5RY3l8X2Tmar8y/180bc4/sV199xapVq1i4cCGtWrUiKioKT8/8hV6++OILFi5cSP369fnrr78YMWIE165do2LFJ18d6968Lp+81VH59we/7QIUU4wK0tDQ4Ek/vYr7bZZ3LE0NDWISU/j676Nk5+RwOygCMyN9Zg52Y8mO08r0AeGxDF+wASODcnRsXJP5b3dlwo/bnmlhpO7N6vLJiAJxLSsmLjSKzXexcWmoxuXpH4qnf36H1MM3hM2fjGRYeye+/+dkkePNGNiWxjUq8s6P/zz1D9r/N0U/lseXU7FllJODjpYWP4zoyQ/7TxMcm1DsMTQ1NIhJTuGLHYr66R0cgZmBPh/3cuOH/aeL3a843VvUZd7I/Dr44dJdyjypZFXj2eugRoH4CuvfpiGRcUlqF3EKCItl+FcbMDYoR8cmuW3rh2drW0+VPx5/viiaPnd77l7L3C9gaWTA5nFD0dDQIDophV03vHm3dTOycrIBRXlFJ6fw2R5Fed0KVZTXnK5ufHf42cvrSXnkCeVU3Es5FKiD+x5fBwsa2aoxQ1o0ZPxfO0hOe/yPpRehrumoq1eFOVvb8atbL768cAyPqDDl9l9vnMda35B/e72FBhpEpSazw+cWkx1bkFVK57v2vRox9ct+yr+/mKRY4OxZyzDPrFF/om+gS91GlXlnZjfCHsZw/L8bAKxYvJcPvurPiv+mQU4OoQ9iOLLzGp37NymRWArq0qous8d3zs/XdzuB4r5rX+yz9bofitf9/O+xm/dCWP/NKAZ3bczP60680LGf5HnL6Wl0qVuTjzu1Yca/+wlRc89+aercth6zJndR/j17wQ616TQ0iv/9VJiba23eG+vGlz/8R3jk051LXkSX1nX5eEKBOrg4tw4WSqdB0d9Xz0pDA2ITUvjmj8Nk5+Rw1z8CU6NyfDCmPb/97f5Cx36SonkvvlAWNxnIPwFX8IxVvyheQWPOrsZASxdH88pMd+jEw5RY9j70fOJ+QsAb0pFNSkpi2bJlLF68mFGjRgFQvXp1mjdvTmCgYjrOO++8Q//+/QH49ttvOX78OKtXr+bTTz994vHdPXzxKtAJ09FWfGwWJoYq0xLNjfWLjEwWFJ2QjGWhUaXyxgZkZGURnzv9JSo+mcysbJXOm39oDPp6OpgZ6ROXe99EZlY2DyLjgXhuB4ZTv2oF3urYhK/+PvLEeJRxefriFfCUcSW+WFyFZefkcDswHHtrsyKvzRzkRhfnOkz8eRvBUcUvIvD/Ki4llcys7CIjXxZG+kVGvPJEJSWrSa/4OzopBSsTQ2raWLBgUBcWDFL8qNDU0EBTUwOPhR8yee1Ozt0PIjKxaP30jYjBQFcHc0N9YpOLv7dMHfcbvtwsMOKuq5NbB01V62B5Y/0iI64FRccnFxmxLW9sQGZmFvHJqnVQW0uTXq4O7Dx9k6zsol/CmVnZPCzQthyqVmBE5yZ8ve7p21ZBsSmpZGZnFxl9LW9YfHlFJiWrSa/4Oyp3n7TMLD7ZfYQv/juGhZEBkYnJDGnakKS0NGJTFOUQmZhMRnah8orMLS8DfWW6Z1VsHXxMTFGJRWNS1sHEAnVwcBcWDC5UBxd9yOQ1ijqYZ2SrxnzQtSWTVu/kZgneo11QbFoKmdnZWOmrjqJY6hsQlfr4eyOdbexY23kQP107w4Y7N1ReS8vK5KMzB5l79jCW+gZEpCYzok4jEtPTiHlUOvdcXjh+mzueD5R/6+gq2lp5SyOiwvLPs2blDYmLVj/dvqDw4FgAAu6HY2ZhzMgpHZUd2fjYZL6eugEdXW1MzAyIjkjgnRldlfuUpDNXffH2yb9IoKOjWNDNwsyAiJj8Tpm5qUGJ38+anZPDbb9wKlcwL9HjFpR3/ig8+mphoF9klPZ5dKlbk+/6dWP27kNlsmLxmUs+eN8r8Dskt/zKmxkSEVWo/AqN0qrj5lqbT6f1YOGS/S9txeIzV3y5dT+/DuoWrIPRJVsHo+OSycxUPacHBMegX04HM2N94hKf75z+OLHpKWRmZ2Gppzr6aqFnWGSUNo+LVXWcLaowqbYboLgYraWhyfVen7Pw5j62B15Vpg1OiQPgfmIEFnqGvFenvXRkxVN7Izqyd+/eJS0tDTc3t2LTNGuWf0O6pqYmTZs25c6dO091/JS0DFIiVTtUkfHJuDjYKxdh0tXWonFNO37ZUfwoh6dfKO0aqS6k4OJQhduB4WRmK0ZQPHxD6NasjsrVR3sbM1LTMpSdWHU0NfJPnk+r2LjqqYnr3yfE5VQorrqqcalTq5Il9x5GqmybNbgdXZ1rM+Hn7QSEl/yPnjdBRlY23sHhtKxZhcM38+9vc61ZhSNe6h9v4REYyozurdHV1lKuWOta057w+CSCYxPQ1tSk78/rVfYZ7tII11r2fPD3f4TkjpBdDwyhp5Nq/axqaUZKesYzd2JBfR2MikumhYM93gH5ddCplh2/bH+2OtjCoQregeFkZqnWwfaNa2JmpM/uM0/3qBNNTUUenldGVja3QsJpVaMKh7zzy6dVjSoc9lZfXjcehDKrs2p5taphT3hCEsFxqiMMmdnZhOcu6NKzQR1O3vNXls21ByH0aliovCxyy+s5O7F5MXkHh9OyVqE6WOsxdTBITR2sVagO/lSoDrrm1sH1+XUQFAtNvd/ZlUlrdpXqY3cysrO5GR1GG7uq7A+4q9zeumJVDgQU/6iL5jaVWNNlEEuun2W199Vi02XmZBOWoii73tXqcfyB7wuO1xQvNSWd1KAYlW0xkQk0blmTe16KVV11dLVp0LQqK384+EzH1tTUUHaMC8pIzyQ6IgEtbU1adWnAqYNFp/K/qJRHGaQ8ilPZFhWbRPOGVbjtl3sO0dHCqY4dv206VeLvX9PeCp+gyCcnfE4Z2dncCg2nZfUqHLyd37ZaVq/C4Tsv9jij7g61+aZPV+bsOcSh2y92rOeV+iiD4LA4lW3RMUk0c6rCndwLFLo6Wjg6VGLZ2sePOLZvVYdPPujOwl8PcLKUH0VTUHF1sJljFeUiTLo6WjSqa8dvG16sDnreDaFLq7oq5/TKtuakPsoolU4sQGZOFt7xobha1eBwaP5UbRer6hwNVT8Vvf+J31X+bl+hLu/WasOI038R8ejxs750NZ//+/Z1JasWP783oiP7NFO8StqmY9cY1705AWGxBIbHMr5HC1LTMjhwKb9z/NVYxXNTP1+reA7YdndPhrZzYtYQN3acukmjGhXp7erA3JX5N8Jvc/dgSLtGfDS0HVtPeFDRwoRJvV3Z5u6hTDO1f2vO3PQnLDYRQz0dujWvS9PalZVTnl8oruPXGNctN66IWMZ3z43rcoG4cp8H+/m63LhO58Y12I0dpwvEtTo/rgk9XbjpF0pQZByG5XQZ3t6JmnaWLNp0TJlmzrD29Ghej5kr/iMh5ZHynt2UtAxSi3nsSmlLToG8R31mZ0NIONy+D6YmkHtrYplYd+Ya3wzpxs2HYVwPCGGIiyPWJoZsvai4ijmtaysaVq7AuJWKaVr7btzhvU4uLBzclRXHL1LV0pzx7Zqx7NgFQNEZ8glXnTobnZxCemaWyvatFzwY4dqIub3bsemcB3bmJkzp7MqW8x6UlE3HrvFOj+b/Y+++o6K43gaOf+ll6VXBLjZULIhiSSBYsETF3kvUWNJMN9EkxsQYE1N+aZpijyb2lsQae29YQGygIF06UqS/f+y6sLCgUoL4Pp9z9hx2d2b3Ptx7n52ZO3OH0Ogk7sQmMbmfsg3uPl3YBudNUrbBucuVbXDz4cuMeK4tb43wYvPhANq6ONG/iyuzfys5ycSgZ1pz5todraP9rw7uxtGA28Qm3kNhXNi3HpzyXF4rT/rzxeDeXI6Mwf9OFCM7uGFvrmDdOWV9vdm9K62da/HCamV9/R1wjZe9Pfncz5efj5ymga01L3bz4KdDp9Sf2cDWCjfn2lyKiMbCxIiJnd1p4mDLe9sK7zv459lLjOnYhjm9vVl75hLOVha8+lxn/jxb8fpaddSfhSN6ExAew4WwKIZ3UrXBU6o22FvVBn8r1gaH+/LL/iJt8N8y2mBayTb4wrPuzPTtyqz1uwmLS1KP8t7PzSXtfuWfXrw08BzfPtuPS3HRnIuNYEzztjiamrFWNcr6rvuztLWvzejd6wHlfWRX9BzC79cusi0kSD2am1eQT+J95YZmQwtr2trX5kJcNJaGRkxp5UEzazveOvpPpZe/LNtWn2DkNG/Cb8UTGRrPqOnPkZmRzaG/L6qXeevzoQB8/b7yPqQDxnQmJiKRiFDl7ahauTdgyAvd+PvPwsm5mrnVwdbBklvXorB1tGTsy93R0dFh07LK35HUZv0ufyb6dSI0KpHw6CQmDvIkIyuHvccLN7o/Ut0P9pMlhTvtTeorJyA0NTEiv0D5PCc3j9BI5QGASUM6c+VmFOExyShMDBneuz0u9exYtPzfKo1nxSl/vvRT5Y+IKEa1d8PBXMG686r84dMVN6daTFxTeFpuYzsbDFTXyysMDWnuqIztWqxyp7tvy6Z8ObA3X/57lLNhEdipzvjIycsj5X713O7ugQ1/nWf8ME/CIhIJj0piwjBPMu/nsO9I4U7UnJl9AfjsO2WO796tOR+83pefVh7i0pUI9XWqObl51TLh04ad/kwY1ImwSFUbHOxJxv0c9h0rbIMfvqxsg5/+VLINKkppg1v3XmKob1ten+jD5t0XqO1gwZThXdiy92KVxrM65ASftx9MQHIkFxLvMLyBBw7G5mxQ3SZnZosetLJy5sWTqwAIvqd5L+qWVk4UUKDx+uiGnYjISCI0TZlL3G0bMKFxl/93t94RFfNU7Mg2a9YMIyMjDh8+TOPG2qeOP3funHrEtqCgAH9/fwYOHFju71y15xzGBvrMGuWDhakRgbdjeOm7LRr3uaxlozmxRVRCKq/+sJW3hnsx9Fk34lLS+XL9IY17rcYmpfHyd1t4c5gXf34wloTUdLYfv8LSnYUbCbYWpsyf1BtbC1PSMrO5GRnPqz9s1ZhFudxx7VXFNbJIXD88Qlw/beWtoV6qW/Gk8+UGzbjMTYz4YEwPZZnvZ3M9/C4vfr2RK0VuKzTcqy0Av7w+VOPzf/n7JL/8c4rqcOU6THi98EjZjyuUD7/eBXz+frUUCYDdl29gZWrMNJ+O2JsruBmTwPSV29T377S3UFDX1lK9fFpWNlOWbuYDPx82vDKa1MwsVh71L3H/zoeJSUnjxWVbePd5LzbPHEv8vXS2nrtS6izH5bFq9zmMDPR5b7QP5gojAm/F8PK3D2mD8am89r2qb3kp2+CidYfU95B9wNnOEo/mdbXu4IJysqn5k4v0rYh4Xvt+KyevVKxv7bqirK8Zz3bE3kzBzbsJTFu7TX09mr25gno2mvU1efVmPuznw6apo0nJzGLFCX/1PWQBdHV0mdi5PQ3trMnNy+d0aDijlq3XGLGNSU1j8u9beM/Xi63TxxKfls7mC1f4+UjF60ujDVqo2uCKIm3QXEHdojHdV7XBgT5seLX8bXBU5zYY6OvxzZh+Gq9vO3eFORv3Vjiu4v6+fQ1rI2NeadMZB1MFN5Limbh3E5Hpyv+zg6mCeuZW6uWHNmmFqYEh01p3ZFrrjurXw++l0G3jLwDo6ejwYisPGlnakJOfz8noOwz+ey0RaVV/PV9RG5cdwdDYgJc/7I+ZhQnXL0cwZ8oKjXvIOtS20lhHV1eHSW/1xtHJmry8fKLDE1j+zR6NyZ4MDQ2YMLMntepYk5mRzdkj11k0awPp9/6bHYo1f53FyFCft1/ojrnCmKCQaF5fsEnj/p2OdhYl1lu9cLzG82fcGxMdl8Lg15T3jTU3NWLWlF7YWpmSlpHNjdC7zPhkPUEhMSU+qzLtCrqBtYkxM57piIOZghtxCUz9s0j+MFNQ19pSY51fR/lRx6rwte1TxwLQ7NNvARjZ3g0DPT3m+Hozx9dbvdzp0HDG/76pSuN5mD+2nsHISJ83p/bAzMyYqzeiefPjjRr3kHUsNnHYwN5t0NfXY+aU7sycUjjvwoXAO7z2wfr/rOwPrNmubINvTVa1weBo3vjs4W1w1aJibbBDY6LvpjDkFWUbvJtwj9c/28xr471ZtWgcCckZ/H0wkJWbq3YbaU/UFawMTZna9FnsjcwJvneXl06tJVp1D1l7IzPqKh7vFHtdHR3eaNETJ1Mr8gryCU9P5H9X/2VD6P/PyZ5E+egkJyc/FTPpzJ07l5UrV6one0pMTOTixYv06NGDNm3a4OzszIIFC3B1dWXp0qWsXLkSf39/nJ01b6Hw3LvLqymCKvYU9pFzc5dUdxGqROv/zajuIlQJ44rNlfRESq++WxxXKb2qOUOt2qU1q54zO6qS61fJ1V2EKpHcxra6i1AlEl2fvh9jh/O5D1+oBsozfPrqCuDe2P/2gNl/5ZjXm9VdhHL7MWJMdRdB7ZU6a6u7CI/lqRiRBeWOrJWVFYsWLeKNN97AwcGBkSNHarz/008/cenSJerWrcuaNWtK7MQKIYQQQgghhHjyPTU7srq6urzxxhu88cYbGq8/mLW4SZMm7N1b+aedCSGEEEIIIUR55MmpxeUm/zkhhBBCCCGEEDWK7MgKIYQQQgghhKhRnppTi0tTv359kpOTq7sYQgghhBBCCKEhX+4jW24yIiuEEEIIIYQQokaRHVkhhBBCCCGEEDXKU39qsRBCCCGEEEI8iWTW4vKT/5wQQgghhBBCiBpFRmSFEEIIIYQQohrkF8hkT+UlI7JCCCGEEEIIIWoU2ZEVQgghhBBCCFGjyKnFQgghhBBCCFEN8mRcsdzkPyeEEEIIIYQQokaRHVkhhBBCCCGEEDWKnFoshBBCCCGEENVAZi0uPxmRFUIIIYQQQghRo8iOrBBCCCGEEEKIGkVOLRZCCCGEEEKIapAv44rlJjuyxSR45FZ3EaqE7bmnr6pb/29GdRehSgS8vqS6i1AlWvz29NVXrklBdRehSljequ4SVA2jVIPqLkKlCxtkX91FqBL37Z7OvmXv//TFFdf26du+ANDNru4SVA3LPy2quwhVw6u6CyCqw9OZfYQQQgghhBDiCZcnkz2Vm4xlCyGEEEIIIYSoUWRHVgghhBBCCCFEjSKnFgshhBBCCCFENZD7yJafjMgKIYQQQgghhKhRZEdWCCGEEEIIIUSNIqcWCyGEEEIIIUQ1yC+QccXykv+cEEIIIYQQQogaRXZkhRBCCCGEEELUKHJqsRBCCCGEEEJUgzxk1uLykhFZIYQQQgghhBA1iozICiGEEEIIIUQ1kPvIlp+MyAohhBBCCCGEqFFkR1YIIYQQQgghRI0ipxYLIYQQQgghRDWQ+8iWn/znhBBCCCGEEELUKLIjK4QQQgghhBCiRpFTi4UQQgghhBCiGuTLfWTLTUZkhRBCCCGEEELUKDIiW0nGtWjLNDcP7E3MuJkcz7yTBzgbG6l1Wc/adZncyp229rUxNzQiNDWZ5YHn2HAjUGO5gY1bMM2tI40srbmXnc3xqDA+O32IuMz0Ko1l2vOeDO7WGnNTYwJDo1n450FuRSeUuU77Js68NdSLRk62xCWns2rvOTYfvax+v39nV+ZN8C2xnucr35OdmweAro4O0573pG+nFthZKohPSWfXmWv88vdJ8vILyh3PSE83Xni2A/bmCoJjE1j492H8Q7XXDUATR1vmDPShdd1apGTcZ+OZyyzZf1p73PWdWDF1GLfjEvH73+8a7ymMDHmtVxd6tW6ClakxMclp/G/PcfYE3Ch3LJXh7CVYsQ6u3IC78ToseK+AQX2qtUhlGu3uxuTOyvq7GZfAgj2HOR+uvf4M9fSY1687LWs50MjOBv/wKMb/vkljGY96zrzp042GttaYGBgQlZLKxguBLD91/r8IR21M2za86NEBB4WCm/EJfHrwEOciS49rfs8etHR0oLGNDeejohizfmOJ5fo3b87Ujh1oaG1NWnY2x8Pu8Pmhw8RnZFR1OBqmDOqMn3drzBXGXAmJZtHqA9yOLD2H2FoqmDnai2b1Hahby4pdx6/y6W97NJYZ6N2avl1b0NDZDl0duBEWxy9bjnPpRlSVxDCtX7E8uO4x8mBtW+JSSubBonw7NOPzyX05GnCLmYu3q19X58GORfLg2YrnQYCRndyY1E2VC+8msPCfw5wPKzsXftDfh9Z1apGSeZ8NZy6z5KBmLjTQ02WadycGtG2Bg4WChLQMVhw7z5qTFwHQ19XlRS8PBrZzxdHCjNvxSXyz5yjHboZVKJayjHVrw4sdlH3rRkIC8w8f4mxZfat7D1o5FPat0ZtK9q1xbdowrk1b6lhaEpWayk9nTrP16tUqi6E0UwZ1xu+5In1r1SP2rQZF+tavWvpWt2J9a3PV9K1RHm5M7lLYBhfsPsz5O6W3waYOtnzY14fWzso2uP78ZRYf1myDoz3aMKZjG5ytLIlOSeXno2fYfqmwbvR1dZn6jAd+bQrb4Ff/HuVYcOW0wZGd3Jj0TLF+9ZBtjA8GqPpVxn02nL3MkgNa+tVzxfrV0cJ+5duqCZOf9aCerSX6enrciU9i1fELbL8QVCkxlWXykM4M7O6GhcKIK8ExfLViP7cjymiDVgpeG+tFswaO1Kltxe6jQcz/WbMN9n22JR/O6F1iXa/x/yM7J6/SY3jS5Ml9ZMvtid+RPXr0KP379yckJARbW9vqLo5WzzdqxtzOPnxw/F/OxUYwrkU7VvUeSo9Ny4lKv1dieXcHJ64nxvPL5bPEZqThVachn3fzJSsvj+0hyuTbwdGZb7368tmZQ+wNDcbOxJT5XXvynXc/Ru/aUGWxTOjVgbE93Jm7ag9hsUm82M+TJTMHM2juSjKycrSu42RrwQ+vDGL7iUA+WLGbti5OvDfKh6S0DA5cCFYvl5mVw4APl2us+2AnFmCibweGe7dl7so93IyKp4mzHZ9M8CU7N4+lO7XvSD5Mb7emvNffm/nbDuAfGsXIzm788oIfA75ZTXRKybpRGBmydMoQzt2OZMSPf9DQ3prPhvmSkZ3DqqP+GstamBixYHhvTofcwcHCTOM9fV1dfps8mNTM+7y19h9iUtOoZWFGdl71J+SMTGjSEAb6wnsLKrZhXNX6uDZltq8383Yd4Hx4FKPd3fhttB/9lqwmOrVk/enp6pCdm8eas5fwatIAcyOjEstkZOfw+9kL3LibwP2cHNrXdWJe3x7cz8nhj/PadzoqW79mTfnwOW/m/nuAc5GRjG3bhuVDBuG7YhXR97THlZWby+8XLuLdsCHmxiXjcndy4uu+vfn88BH2BQdjZ6pgXg8fvu3Xl3EbN5VYvqqM6+fB6N7ufPrbHsKiE5ns58kP7w5h+KwVZNzXnkMMDfRIvpfJ6r/P4Pecm9Zl2jevw77TN7h88yD3s3IZ1bs9370zhHEf/E54bHKlxqDOg6tVebCvJ0teG8ygjx+SB18ukgcba8+DAM52lrw++Bn8b0aU+JyJvh0Y7tWWuav2cDMyniZ1VHkwJ4+lu8qXBwF6t27K+/28+XTHAfzDohjVyY1fJvjR/7vSc+GyF4ZwLjSS4YuVuXDBEF8ys3NYebwwFy4a3pdaVubM3fYvYQnJ2JmZYmRQuGnxWs8uDGjbgo+2/cutu4l0bVKf78cMYMwv67gaHVfueErTr2lTPvT25qMDBzgXFclYtzYs9xuE7+pVRGnrWzo6ZOflsvrSRbwbNMRCS84Y4+bGu92eYfa/+7gYE0Mbx1os6NmTlKwsDty6VekxlGZcPw9G93Hn01/3EBaj6luzhjD83Yf0rbSH9K0Wddh3qljfencI4+ZUbt/q07Ips3t788k/Bzh/J4rRHm78OtaP538qow2OH8K5sEiG/fYHDW2t+dxP2QZXnFS2wZEd3HirZzc+2vEvlyJjcHN25NP+PUnNzOLgDWXdzPTpwsA2Lfhwx7+ExCfSrXF9fhwxgFHL1nE1pmJtsHfrprz/vDefblf1K09Vv/pfGTFNKtKv7KxZMFTVr44V6Vcj+lLLUtWv4kv2q+SM+/xy8DS34hPJzcvHq3kjPh3ck6T0DI7cCK1QTGUZ29+DUf06MP/n3dyJSmTSkM58N3soI99cXmobNNBX5fcdZ/Drrr0NAmTez2Ho60s1Xvv/sBMrKuaRTi3u168f77zzTlWX5T/7nso2pVUHNt0IZN31ywQnJzL35H7uZqQztkVbrcv/dOk0X50/xrnYSMLvpbDm6kV2h96gT4Om6mXaOzgRnX6PZYHnCU9L4UJcNCuv+NPWoXaVxjK6e3tW7jnLgQvBhEQlMHflbkyNDenTsXmp6wx91o24lDS+XH+I2zGJbD0WyN8ngxjf011juYKCAhJSMzQeRbVp5MSRy7c4EnCL6IRUjly+xeHLt2jdoFa545nQrT3bzwex6Wwgt+ISWbDjEHH30hnhqT2ZPt+2OcYG+szesJvg2AT2BQaz7PBZJnRzL7HsJ0N6st0/iIt3oku8N6hDS2wUpry6egf+YVFEJaXiHxZFYERsuWOpLF6e8MZU8PUG3Sf84oIXPNuz9VIQGy8Ecis+kfl7lPU3qoP2+svMyWXuzv1suBBATGqa1mWuxNxl55UbBMclEJGcyo6Aaxy7FYp7PeeqDEXDpA7ubLkSxPqAAEISE5l34CBx6emMadtG6/KZObl8+O9+1l0OIDpNe1ztnGoTk5bGivP+RKSkcjE6mtUXLtKmdvn7T3mM9G3H6r/PcPDcTW5FJvDJr3swNTbEt3PpOSQ6PpVv1hzkn2NBpKbf17rM3J93senfi9wIi+NOTBJfrNxPRmY2nm4NKj2G0T7F8uAqVR70KCMPPqPKgxtUefB4IH+fCmJ8D83coa+ry4JJffhpxwki4lNKfE6bRk4cCVDlwcQiebBhxepxYtf2bPMPYtM5ZS787G9lXxrZqZRc2EaZC9/ftJvguwnsuxLM0iOaubCLSz06u9Rj+qqtnAy5Q1RyKpcjYjh7u3AHfUDbFiw9co4j128TkZTC+jOXOXL9NhO15NTKMLm9O5uDglgfqOpbh1R9y62UvpWbywf797MuIICYUvqWXwtX1gcG8Nf164SnpPD3jeusC7jM9A4eVRJDaUb2LtK3IhL45JdH7Fu/H+Sfo0GkppXSt5b8N31rYuf2bL0YxEZ/VT7fVXY+79+6OSYG+ry3dTc37yaw92owvx0/y8TOhW1nYJsWbDwfyD+B14lISmFn4A02nA9gSrcOGsv8duwch28q2+C6c5c5cvM2L3SpeBuc2K1Yv/rrIf1KtY3x/kbVNsaDftW1lH4VrL1fnb4Vzv6rIdyOSyI8MYU1Jy5wIyYO9wZV+zs2ok97ft9xhkNnlG3w08XK3Nira4tS14mJT+XbVQfZeeQKqWmZpS5XQAGJKRkaDyEeptI2Y3NytB+JedoZ6OrS2q4WRyJDNV4/GhmKu+OjJxQzAyNSsgt/ZM7FRuJgakb3eo0BsDYyoX/j5hwMr7qjv852lthbKjgZVHi6TVZOHv43I3Br5FTqem6NanMqSPMUnZNBYbSo74h+kT0lI0N9/vlsMrs+n8J3Lw2kWV17jXUuhETRoVkdGjhaA9Cwtg0ezepy7MrtcsVjoKeLq7Mjx4udwnbiZhht62uPp0392pwPjSSryEjx8RthOFqa4WxtoX5tpKcbduYKfjmgfYTEx7UxF8KimD3gOQ7PmcqON8bzUg9Pjf+HKJuBri4tazty/JZm/R2/FUa7OqW3x8fVopY97eo4cbaMUywrk4GuLq0cHTkaGqrx+tHQMNo7lT+u85FR2CsU+DRqBIC1iTHPN2vGodvl6z/l4WRviZ2VGacDi+aQXC5ej6B1k8qrM1Ae5Tc00ONeelalfq46D17VkgcbPyQPXn14Hnx5YFeiE1L5+5T2UwAvBEfRoWmRPFjLBo+mdTkWWP56NNDTxdXJkRPFTqU8HhxG23raY2pbrzbnw4rlwpthOFoU5sLuri4ERsQysas7B96dwq43JjK7nzemhgbqdQz19cjOzdX47KzcXNqXkoMrQt23wkI1Xj8aVrG+Zainp/F/ALifm4tbrVr/WU5X962Amtm3DPR0aenkyPGQYm0wJIx2dUtpg3Vrc65YGzwWrGqDVso2aKhXsn3dz82ltXNh3ZS2jHspbf9xYnJ1cuTETS39qpT23bbuw7cx1P2qmzsHZk1h15sTmf28Zr8qzrNxXRrY23CujFOaK8rJwRI7azPOXA5Vv5aVk8vFaxG0blrxNmhkqM+W719k+49T+eodP5o2cKjwZ9YU+QW6T8yjpnloiWfMmMHx48f57bffsLKywsrKirVr12JlZcXevXvx8fHB3t6e/fv3U1BQwHfffUfbtm2pVasWXbp0Yf369Rqf98UXX9CqVSscHBxo2rQp06ZNK/V7wsIKk8PZs2fp1q0bjo6OeHl5cfHiRfV7a9euxdnZmV27duHu7o6joyPPP/88oUU2FCMiIhg1ahQNGjSgdu3aeHh4sHnz5gr++8Da2AR9XV3iMzWPHMVlpmNvonikz/Cp24iuzvX449ol9Wv+d6N47eDffOfdj+BJb3Jx3CvooMObh3dVuMylsbUwBSCx2EhpYmoGdqr3tK+nKDG6mpiagYGeHlZmJgCExSQxb/U+3liyg9nLdpGVm8fyd0ZQ18FKvc7KPWfZefoqm+ZO4PRPr7F57gT+PhXExsPlO93TytQEfT1dEtI0y5aQloGdufZ47MwUJZe/p3xuZ66szyaOtszo7smsdbvIL9B+am4dG0t8WzdBX0+XGSu38cO+E4zo5MbrvbuWK5b/j6xNVX0rvVh9pGdgb1Z6e3xUh2dOIeD9V9k8eTR/nrvEOv//5rRiaxNVXMWuW43PyMBeUf64LkRH8/rfO/mmXx+uvTGTcy+/hI4OvLNrz8NXriS2lqXnEFvLR8uHj2r60K5kZuVw1D+kUj+31Dx4r+J50LNFPXq5N+WzP/eX+jkr96ry4EcTOP2jKg+eDmLjkfK3zwe5MF5bLiylL2nNharndmbKuqxjbUn7+k40q23H63/8zfy/DtKtaQM+G1I4H8Kxm2GM69KOBnbW6OhA58b16OHqgr155bYHeEjfMi1/3zoaFsqwli1xc3QEoLWjIyNatcZQTw9rE5MKlflR2VqV0i5TakbfepDPE7Tk89LaoL2ZQuvyD94DOBYSxuB2LWnlpKybVk6ODG3fSlk3pibqZcZ7tqOhrbINdmlUj54tXNSfUV7l6lfmj9CvbFT9qpYdr68t0q+Gas4zYmZkyLm5L3Pp09dYMt6PBX8d5GgVnlb8oJ0VHylNSsnApoJt8E50Igt+2cOsr7fx0Q//kJWTxy8fj6ROLasKfa6oPEuXLsXNzU29H3bixIkyly8oKGDx4sV4eHjg4OBAs2bN+Pjjjyu9XA+9RnbhwoWEhITQpEkTPvroIwCuXbsGwMcff8z8+fNp1KgRZmZmzJ8/n+3bt/PVV1/h4uLC2bNnmTlzJlZWVvj6+rJ9+3Z+/PFHli5diqurK/Hx8Zw9e7bU77Gzs+POnTsAfPjhhyxcuJDatWvzxRdfMHz4cC5evIip6scpKyuLL774gp9++gkTExPee+89xowZw7Fjx9DR0eGtt94iKyuLv/76C3Nzc4KDg4uHWiEFxXZodNChgIdff9jB0Znvn3uej08e4FJcjPr1Jla2fNzZhx8unORwZCgOJgpmd/Lm8269ePPwzkopc5+OzZkzurv6+Ws/bVPGUqzcOjo6D42kxPs6D15XvnP5djSXbxeegnspJIo/PxjLSO+2LNpwCIBeHZrSr5Mrs5fv5FZUAs3qOvD2cG8i41PYfuLKY0ZXpGxaClfK/qf25R/EUlCAgZ4eX43ux1c7jxKZlFrqZ+jq6JCYnsHczf+SX1BAUORdrExNePd5L77aebQ8Yfy/VbI+yq6/RzVm1QZMDQ1o41ybt7s/Q0RyKtsD/rvJW4rHoKPltcfhYmvDRz7P8dOp0xy5HYqDmYL3vJ7ls549eHvX7gqVtTS+nZvz3gs91M/f/HoboC0fViy24kb0aseg51rzyhebSb+fXaHP6uNRLA8u3gZoyYMPyRtQRu6gACuFMfPG+zJ7+S7uZZQ+0qXOgytUebBO5eRBVUE0i/eQ3F6ijRbL67qq9d9Zv4u0LGU9zP/rAEtfGIKtwpSE9Aw+//sQnwzqwV8zx1NQAOGJyWz1v8Kg9i0rFstj0NHR8hv1GH44dRp7UwUbR4xER0eH+IwMtgQFMc3Dg/z8/EorZ1G+XR6xb1UwtuJG9GrHIJ/WvLKw4n1Lm5J57zHb4IPXVWstPnwKOzNT/pw8Ah0dHRLSMth2MYgXu3mQV6Csm892HeLTAT34++XxFKBsg1suXGFwu6ppgw+Nqfjyj9Kvdhxg6aQh2JqZqnd807OzGfzDGkyNDPFsXJdZ/byISk7lVEh4pcTRq2tzZk3pqX7+9pdbleXUGlzFWmHgzWgCbxZuIwbciGL1wnEM823Ht6sOVuizRcVt2bKF9957j6+//hpPT0+WLl3KsGHDOHXqFHXr1tW6zpw5c9izZw+ffPIJLVu2JCUlhdjYyr+87qE7spaWlhgYGGBqaoqj6mjkjRvKWVdnzZqFj48PAOnp6fz0009s2bKFLl26ANCgQQPOnz/P0qVL8fX1JTw8HEdHR3x8fDAwMKBu3bq0a9eu1O8p6p133qF7d+XGxk8//YSrqyubNm1i/PjxAOTm5rJw4UI8PT0B+OWXX2jbti2HDx/G29ub8PBwBgwYQOvWrdVlqwxJ9zPJzc/H3lTzaJSdiWmJUdriOjg6s9J3CN+cP86aqxc13nupTScuxsXwS4ByR/8acWQc38fm/qNZdO4o0VomkXpchy+FEFhk59JAX9kcbC0UxCYVXitkbW5SYqShqITU9BIjFTbmpuTk5ZFSyjU5+QUFXA2LpV6REdnXBz/L7/+eZ+85ZfsKjkqglo05k3p3LNcGXHJGJrl5+SVGX23NTEocEX0gPi1dy/LK5wlpGdhbKHBxtGX+0F7MH9oLUP7o6OrqcOmzmcxYuZUTN+8Qdy+d3Lx8jRHbkLuJmBoaYK0wISm99OtEhFJShqpvFTuybWtqUmKUtjwikpUHIm7cTcBOYcorz3r+JzuySZmquBTF4zKt0OzC0zt25HJMDL+dPQfA9fh4MnL2s2HUSL4+dozoe9qv/6uIoxdCuBJSeADOwEAPUB65v5tYJIdYmJKYWjmzrY/o1Y5pQ7ryxtdbCLoV8/AVHuLw5RACQx8xD957SB60LD0PtmnshL2VGUtmDlG/r6vagj3z40yGfbqasNgkXh+kJQ/amjPJt3x5EErPhTaKx8uFNorCXAgQdy+du6lp6o1tgFtxiQDUtjInIT2DpIxMXl37F4b6eliZGnM3NZ03fbuVeSCwvB70Lbtio6+2JhXrW1l5uczat5c5+//FztSUu+npjGrdmntZWSRmVk0uP+ofwpXgR+xbKZXYt4Z25Y2vKqdvFfUgnxcfqSyrDcalpWtZXvn8wShoVm4ec7bvY+5f+7E1MyXuXjrD3VuTlpVFUkam+rtfWadqgybG3L2Xzls9uhFRwTao7lfFy1jWNsa90mN6pH5laa5erqAA7iQqr7O/Fh1HI3sbpnp3rLQd2WPnQwjS1gatTLmbWLgNam1pWunXs+YXFHD1Vix1a1lX6uc+qfKf8FmLf/rpJ0aPHs2ECRMAWLRoEfv372f58uXMnTu3xPI3b97k119/5fjx4zRr1qxKy1ahk6Ef7IQCXL9+nfv37zN06FCcnZ3Vj+XLl3NbdY2Wn58f9+/fp02bNrzyyits27aNrKxHuwajY8eO6r/NzMxo2bKlemQYQFdXF3f3wovl69WrR+3atdXLTJ8+na+++oqePXsyf/58jVOTKyInP5+A+BiecW6g8Xo35/qcL+X2OwAda9Vhle9QvrtwguVXSt72w0TfgPwCzSO9D3aKKqu5Z2TlEB6Xon7cik4gLiUdzxb11MsY6uvRzsWZy7dKn4b/8q1oOjavp/GaZ4v6XA2LJbeMo9VNnO2IL/IDbGyoX+Lodn5+ATo65Ys4Jy+foMhYurjU13i9s0t9LoZpj+dSWDTuDZwx1Ncrsnw9YlPSiExK5W5KGgO/Xc2Q79eoHxtOXyYsPokh36/hYphyg/hCWBT17CwpWvQGdlZkZOfITuwjysnP50p0LF0aadZfl0b1uRBRubeF0NXR0ajzqpSTn09gbCzd6mvG1a1+ffyjyh+XiYGBegTigXz17Vqq5kcy434OEXeT1Y/bkQnEJ6fRsVVhbIYGerRt5kzAzYrX2aje7Zk+tCtvfrO10m4N8lh5MOQx82Dzwjx4JSyGYZ+uZtSCNerH4cshXAiOZNSCNUSqJn4qNQ/qlr8Oc/LyCYqKpXOxXNjFpT4X72iP6eKdaNzra+bCLi71iE1NU++EXrgThb25QuPavQa2yg3PqGTNnYTs3Dzupqajr6tLr5ZNOHC1ck8Jh6rrWw/k5ucTk5ZGfkEBzzdrzsHbtyt1NLSoaulbw7ry5teV17eKysnL50pULF0ba9ZN18b1uRBeShsMj6ZDsTbYtbGqDRZrX7n5+cSmKuumX6tmHLpxu8TIYXZuHnfvqdqgaxMOXK9YGyyzX5WyjXExvOQ2Rpci2xig3H4o0a/stPeronR1dDDQq7zfsYz7OUTEJqsftyMSiE9Ko2NrLW2wCtqMSz17EpKr9naT4uGys7O5ePGieuDyAR8fH06f1j5PzM6dO2nQoAH//vsvbdq0oXXr1kyfPp24uMqfqb5CO7IKReEo5IMf3j///JOjR4+qH6dOnWLLli0A1KlTh3PnzvHtt99ibm7OBx98gLe3N+npVd9Qx48fz6VLlxgzZgzBwcH06tWLzz//vFI+e2ngOYY2acXIZq1xsbJhrqcPjqZmrFVd8/puh2f4o89w9fKeteuyyncIa69dZFvwVexNFNibKLAxLrzW5t87wfSs78LYFm2pa25JB0dnPu7sQ0B8jNZb+lSWP/b7M9HXA5+2LjR2smXeBF8ys3LYdabwoMEnE335ZGLhtRqbjlzG0dqct4d50bCWDX5dW9G/syur9xXuoE/t50ln1/o421nStI49c8f1xKWOHZuK3GPxSMAtJvp60K1VQ2rbWvBc28aM7dGegxfLfxr4qmP++Lm7MsSjFY3sbXivvzcOFgrWn1Z+7+u+XVk2pXCE5J+L17ifk8tnw3xxcbSlR0sXpnh7sOqYMpbc/HyCYxM0HgnpGWTn5hEcm0BGtnLSs/WnLmFpYsz7/b1pYGdN1yb1eblnZ9advFSykP+x9Ay4elP5yM+HqFjl31HVP6FyCStO+TOojStD27aikZ0Nc3p542CuYJ3qNjlv+nRl5dghGus0trOhuaM91qYmKAwNae5oT3PHwonFxnq0xbtJQ+rbWFHfxoqhbVsyqbM7OwKu8V9Zfu48g1u1ZHjrVjS2seHD57xxMFPwxyVl+3j7mW78Pmyoxjoutja0sLfHxsQYhYEBLeztaWFfGNeBkBB6NG7M6DZu1LW0xN3JiY+6P0dgTKzWW/pUlXV7LjDheQ+8O7jQyNmWj170JeN+DntOFv5/507tzdypmvcMbFLPnib17FEYG2KhMKZJPXsaOtmo3x/btwMvD3+G+Uv3cicmCRtLU2wsTVGYGFZ6DH8c8GdiLy158GyRPDjBl0+K3Bt709HLOFppyYP/KnPH/excQqISNB73MrPIyMomJCqB3Dzlb6hGHrSx4Lk2jRnbvWJ5EGDlcX8GtXNlSAdlLny/n7IvrT+j7Etv9OrK8klFcuElZS5cMMQXFwdberi6MOXZwlz4YJnkjPt8NrgXLg62tKvnxPvPe7Mn4AaJqgN2bnVq0cPVhTrWlrjXd+bXiYPQ0dFh2dFzFYqnNMv8zzPEtSXDW6n6lrc3DgoFay8r+9Y7XbuxZkixvmWj7FvWJsYoDEv2rYZWVvi1aEEDKyvcHGvxXd++NLW1ZdHxY1USQ2nW7b7AhP6qvlXHlo+maulb03ozd1opfcukjL414hnm/1a1fWvlSX/82roytL0yn8/u7Y29uYJ151T5vHtXVowvbIN/B1wjMyeXz/18aeJgS88WLrzYzYOVJwvbYANbKwa4taC+jRWtnR35emhfmjjY8u3+4+pl3Jxr0bOFqg3Wc+a3sYPQ1dFh6fGKt8GVx/wZ1L5Iv3peS7+aXHIbY8HQItsYXh6sOq6lXw0pvV9N8+5I58b1qGNtSSN7GyZ2a0//di34+2LV/o6t3+XPuAEd8fJQtsEPpvcmIyuHvccLz2b6aEZvPip2T9gm9e1pUt8eUxMjLMxMaFLfngbOhW1w0pDOdHKrj5ODJU3q2zNnmi8u9ezY+m/1bzP9f5eQkEBeXh729poTtNrb23P37l2t64SGhhIeHs6WLVtYvHgxv/zyCzdv3mTkyJGVfjnGI91H1tDQkLyH3P+yWbNmGBkZER4ejpeXV6nLGRsb4+vri6+vL2+88QZNmzbl9OnT+Pj4lPk9Z8+eVZ8OnJ6eTlBQECNHjlS/n5+fj7+/P506dQIgPDyc6OhojSFtZ2dnJk6cyMSJE/nf//7Hzz//zPvvv/8o/4Iy/X3rOtZGJrzStjMOpgpuJMUzcc9mItOUR84cTM2oZ2GlXn5ok1aYGhgyza0j09wKR5rD76XQbf2vAGy6eQUzA0MmuLbjg07e3MvO4mTUHRacOVzh8pZl1d5zGBvqM2uUDxamRgTejuGl77do3Duxlo25xjpRCam8+uNW3hrmpboVTzpfrj+kce9Ec1MjPhjTA1sLU9Iys7kefpcXv9rIldDCvacv1x3kpQFdeH+UD9bmpsSnpLP1WCC//nOq3PHsvnwDK1Njpvl0xN5cwc2YBKav3EZ0snLD3t5CQV1bS/XyaVnZTFm6mQ/8fNjwymhSM7NYedS/xD1kHyYmJY0Xl23h3ee92DxzLPH30tl67kqpsxz/l65chwmvF47u/LhC+fDrXcDnFe8OlWpX0A2sTYyZ8UxHHMwU3IhLYOqf24hS3Z/P3kxBXWtLjXV+HeVHHavC17ZPHQtAs0+/BZT3jXy7+zM4W1qQl5/PnaRkvt5/jD//o3vIAvxz/QZWJia87NkJe4WCm/EJTN6ylSjVvXEdFArqWWnGtWzwIOpYFr7294RxADT+6hsANl8JQmFoyLh2bZnt7cW9rCxOhUfwxeEj/1FUSr//cxYjQ33eGe+DuakxV27F8NqXmzXuMehoa15ivTXzx2k8f7Z9Y6LiUhj01jIAhnRvg4G+HgteeV5jub+PXuHT3yp3QqtVe89hbKDPrJFF8uAPj5AHf9rKW0O9VLfiSefLDYdK3EP2Yb5cr8qDI1V5MDWdrccrlgcBdgcoc+F0b1UujE1g2uptRKlyoZ25gro2mrlw8orNfNjfh40vjSb1fhYrj/tr3EM2IzuHySs2M+f551g/YxSp97PYHxTMN3sKd/AM9fWY2bMLdawtycjO4ciN28zauJt79yt3tukH/rlxA2tjE17pqOxbNxISmLRtq/oesvYKBfUsNfvWcj/NvvXPWGVbbPStsm/p6uoyub07jaytyc3P52R4OEPXryMytfJPjy6Lum9NeMy+9VkpfetNVd/qoepbr2rpW79WXt/adUXZBmc82xF7MwU37yYwbW2RfG6uoF7xNrh6Mx/282HT1NGkZGax4oS/+h6yALo6ukzs3J6Gdtbk5uVzOjScUcvWa4zYGunrMdOnC3VVbfDwzdvM2lo5bVDdr54r0q9WPaRfLd/MhwNU/Sozi5XH/DXuIZuRncPk5ZuZ0/851r80itTMLPZfDeab3YX9ytTQgI8G+uBoaU5WTi634hJ5f+Medl6+XuGYyrLmL2UbfPuF7pgrjAkKieb1BZs026CdRYn1Vi8cr/H8GffGRMelMPg15X1jzU2NmDWlF7ZWpqRlZHMj9C4zPllPUEjlnuL+pMqvorOmKlPxsyMLCko/YzI/P5+srCx++eUXXFxcAOUlnx06dMDf358OHTpoXa9c5UpOTn7omTEzZ87k4sWLrF69GjMzMwIDAxk4cCAhISHY2tqql5s/fz7Lli3jk08+oWvXrqSlpXHu3Dl0dXWZOHEia9euJS8vD3d3dxQKBVu3bmXBggXqndTi32Ntbc3x48fp378/zZo1Y+HChdSqVYsvv/ySY8eOcfHiRRQKBWvXrmXmzJm4ubmxcOFCjI2NmT17NomJiRw/fhwdHR1mzZpFz549cXFxITU1ldmzZ6Onp8f27ds1YnXb+Gul/XOfJLbnHumYRY2SZVXdJagaAa8vqe4iVIkWv82o7iJUulyTqjqxsHrZ/Xf79P+pHMWTv7HwuO7bPHyZmui+3dPZt+wf75hojZDS+OnrVwC6lT/X1RPB8nbVTFBW3Xb/PKW6i1BuL117u7qLoLa4+Vcaz7Ozs6lduzbLli3Dz89P/frbb79NUFAQO3eWnIB2wYIFfPPNN8THx6tfKygowN7enqVLl2p8TkU90qnFr776KoaGhnh6etK4cWMiIiK0Ljdnzhzee+89fvzxRzw9PRk0aBA7duygvup6FUtLS37//Xf69OlDly5d2LFjB7///rt6pLX494SHF16wPnfuXObMmYOXlxchISGsX79e49RmIyMj3nrrLaZPn06PHj3Iz89nzZo16qMF+fn5vPvuu3Tq1IlBgwbh4ODAkiVP5w6DEEIIIYQQ4smXX6DzxDyKMzQ0pG3bthw8qDl79MGDB9VnwRbn6elJbm6ueo4kUJ5unJubW+osx+X1SCOyT7q1a9fy7rvvEhlZ8RtBy4hszSEjsjWLjMjWHDIiW3PIiGzNIiOyNYeMyNYsNXlEdvrVd6q7CGo/t1hU4rUtW7Ywbdo0vv76azp16sTy5ctZs2YNJ0+epF69esybN4/z58+zY8cOQDl4+Nxzz6FQKNTzEb3//vtkZ2ezd+9edHUrNEWThqdv70YIIYQQQgghRIUNHjyYxMREFi1aRGxsLC1atGDDhg3Uq6ecqT8mJkZj9FVXV5f169cza9Ys+vXrh7GxMc899xyfffZZpe7EguzICiGEEEIIIUS1yC+o3J27qjBlyhSmTNE+6q3tUs1atWqxatWqqi5WxW6/86QYM2ZMpZxWLIQQQgghhBDiyfdU7MgKIYQQQgghhPj/Q04tFkIIIYQQQohqoG22YPFoZERWCCGEEEIIIUSNIjuyQgghhBBCCCFqFDm1WAghhBBCCCGqQT5yanF5yYisEEIIIYQQQogaRUZkhRBCCCGEEKIayGRP5ScjskIIIYQQQgghahTZkRVCCCGEEEIIUaPIqcVCCCGEEEIIUQ3k1OLykxFZIYQQQgghhBA1iuzICiGEEEIIIYSoUeTUYiGEEEIIIYSoBnJqcfnJiKwQQgghhBBCiBpFRmSL0UvXq+4iVAlFTG51F6HS6eQ9nc23xW8zqrsIVeLqi0uquwiVrs2XT2dd6ebkV3cRqkSekRz1rilMYp/Ousq0q+4SVD6dpzNdkG9Y3SWoGjmKp7Nvif+fns49ASGEEEIIIYR4wsmpxeUnpxYLIYQQQgghhKhRZERWCCGEEEIIIapBPjIiW14yIiuEEEIIIYQQokaRHVkhhBBCCCGEEDWKnFoshBBCCCGEENVAJnsqPxmRFUIIIYQQQghRo8iOrBBCCCGEEEKIGkVOLRZCCCGEEEKIaiCnFpefjMgKIYQQQgghhKhRZERWCCGEEEIIIaqBjMiWn4zICiGEEEIIIYSoUWRHVgghhBBCCCFEjSKnFgshhBBCCCFENZBTi8tPRmSFEEIIIYQQQtQosiMrhBBCCCGEEKJGkVOLhRBCCCGEEKIaFMipxeUmI7JCCCGEEEIIIWoU2ZEVQgghhBBCCFGjyKnFlWSsWxtebN8BB4WCGwkJzD9yiLNRkVqX7eRch0nt2tOmVi3MDY0IS0lmxQV/NgZdUS9jb6pgzrNetLR3oIGVFVuvXeXdfXv+q3Ae6oWRXRjQqw3mCiOCbkbzzS//EhqeUOryz3o2YWDvtjRt6IChoT6h4fGs3niK42dD/rMyT+3vyeBnW2Nuakzg7Wi++OMgt6JKLzNA+6bOvDnci0ZOtsQlp7N6zzk2H76sfv+Xt4fSoVndEuuFRCUwfO5qAIZ5t2GIV2tq21oAcCsqgWX/nOFYwO1KjE5ptLsbkzt3wN5cwc24BBbsOcz5cO3t0FBPj3n9utOylgON7GzwD49i/O+bNJbxqOfMmz7daGhrjYmBAVEpqWy8EMjyU+crvewVdfYSrFgHV27A3XgdFrxXwKA+1V2qQiO6uDHxuQ7YWygIiUngi22H8b+tvW4AmtS2ZfZgH1rVq0VKxn02nbzMz3tPq9+3M1fwzsBnaeHsQD17K/4+d5UP1u3V+IzGjra81LszrnUcqGNryeI9J1my51SVxfjA5CGdGdjdDQuFEVeCY/hqxX5uR5Te12ytFLw21otmDRypU9uK3UeDmP+zZr7r+2xLPpzRu8S6XuP/R3ZOXoXLPL23J0M6t8bCxJiAO9F8vukgITFl5wf3xs687edF41q2xKWks/LAOTaeuKyxTHc3F17u24W6dpaEx6fw4z/HORBQmPem9/ZkRu/OGuvEp6bT/aNf1c9f7tOZnm2bUsvKnJy8PK5G3OWnnSe4FBr9WDGO7OTGpG7K/BB8N4GF/xzmfFgZbdDRlg/6+9C6Ti1SMu+z4cxllhw8rbGMgZ4u07w7MaBtCxwsFCSkZbDi2HnWnLxY4vP6ujXjqxF9OXTtFi/9vv2xyv44Rnq68cKzqjhjE1j492H8Q8uOc85AH1rXVfa1jWcus2R/YZwejeqwcuqwEus9//VKbsclPXb5RnRV5gI7VS74ctth/G+VnQveL5YLftmrWQ/ujZ15Z6CqLaams0JLW+zh5sLLfQrb4g87NdtiUVN6ePBav278efQin285CIC+ri6v9O1CtxYNqGtrRVpWNmdvhvPVoWNEp9x7pNhHeajaoJmC4LgEPt/1kDboYMuHz/vQ2lnVBs9dZvEhzdj7tW7G5G4daGBrTVpWNidv3WHRniPEp2UAsOqFoXRsWPJ3OvhuAv1/XP1I5X5YTJO7FParBbsPc/5O6TE1dbDlw76FMa0/f5nFhzVjGu3RhjEd2+BsZUl0Sio/Hz3D9ktX1e+vnjiUjg1KxnTzbgL9F1c8pgemDujMINV205Xb0Xyx9sAjbDfV4Y0RD7ab0vh9t+Z2E8DI7u0Y6t2GWrYWpKRlcvhiCD9sPkpmVg4A7Zo4M863A83rO+JgbcbHy3fz94mgSovrSZOPnFpcXjVuRzYsLIw2bdpw8OBB2rVrV+7PmTFjBomJiaxfv77CZerXpCkfPuvNRwcPcC4qkrFubVg+cBC+a1YRda9kcnd3cuJ6Qjy/nj/H3fR0nq1fn8+69yQrL48d168Byp2MxMxMfj53hpGt3Cpcxso0elBHRg70YMH3u7gTmcjEEZ35dt5wRr+0lMz7OVrXaduyLv6Xw1i69iip9+7T08uVz97z47UP13E5qPSEX1km9O7A2F7ufLxiD2ExSbzY35PFbwxm8AcrycjSXmYnOwu+f20Q248H8sHS3bRr4sR7o31IupfBAf9gAN5Z/BcG+nrqdQz09Vj/8Tj2nbuhfu1u0j2+33yMO7FJ6Orq8HxnV75+qT9j5v9BcGR8pcXYx7Ups329mbfrAOfDoxjt7sZvo/3ot2Q10akl26Gerg7ZuXmsOXsJryYNMDcyKrFMRnYOv5+9wI27CdzPyaF9XSfm9e3B/Zwc/jh/ucTy1SkjE5o0hIG+8N6Cguoujgbftk2ZNcibzzYfwP9WFCO7urFkqh8Dv1hNTHLJulEYGfLrtCGcvxXJqG//oIGDNfNH+pKRlcPqw/4AGOrrkZSeybIDZxnq2Vrr9xob6hOVmML+gJu82qdrVYaoNra/B6P6dWD+z7u5E5XIpCGd+W72UEa+uZyMUvKDgb4eyfcyWb3jDH7dS893mfdzGPr6Uo3XKmMn9oXuHRjv7c6Hf+wh7G4SU309+XnGYAYuKD0/ONtY8NPUQWw7HcjsNbtp19CJ2cN8SEzLYP9lZX5wa1CbLyf0Y8nuk+y/HEx3NxcWTXyeid+vJyAsRv1Zt2MTmfzjRvXz/HzN9ht6N4kFmw4QmZiKsYE+Y73asXj6IPrPX0lsQcYjxdi7dVPe7+fNpzsO4B8WxahObvwywY/+363WuhOiMDJk2QtDOBcayfDFf9DQ3poFQ3zJzM5h5XF/9XKLhvellpU5c7f9S1hCMnZmphgZlNy0qGNtydu9n+Hc7YhHKm959XZrynv9vZm/7QD+oVGM7OzGLy/4MeCb0uNcOmUI525HMuJHZZyfDfMlIzuHVUf9NZYd8M0qUjLuq58npmc+dvl82zbl3UHeLNikzAUjurmxeKoffgtLzwW/TFfmgtGqXPDpKGU9rD6kLJ+zjQWLXxzE1jOBvL9mN+0bOTF7qA9JaRn8+6At1q/Nl+OVbfHfy8H0cHPhqwnPM+H79QTcidH4Trf6tRji2ZrrkXEarxsb6tOijgO/7TvD9cg4zEwMeXugF7+OG4Tf4t/Jyy877/Zp1ZT3+3rz6d8HOB8WxaiObvwy1o/+P5bRBicM4VxYJMN/+YMGdtZ8PkhZNytPKGNvV8+JL4b0ZtGeI/x7NQQ7M1M+et6HL4f2YdLKzQC8tu4vDPQKf6cN9fTY/vI4dgXeKPGdj6tPy6bM7u3NJ/8c4PydKEZ7uPHrWD+e/6mMmMYrYxr22x80tLXmcz9lfa44qYxpZAc33urZjY92/MulyBjcnB35tH9PUjOzOHjjFgCvri8Z046XxrH7SsVjemBCbw/G9HJn3vI9hMUkMqW/Jz+9OYQhc1aUud303cxB7DgWyIdLd9HWxZn3xviQdC+TA/43AfDt2JzXhj7D/FX7uHAzEmd7Sz6c0AsjA30+XaU8GGtqbEhwZDz/nAxi3qSSBzCFeEBOLa4Ek9u7s/lqEOuvBBCSlMi8wweJy0hnTOs2WpdffPYM35w8wfnoKMJTU1gbcJk9wTfp7dJEvUzkvVQ+OXyQzVeDSMm6r/Vzqsvw/u6s2XyawydvcPtOPJ99twtTE0N6Puta6jrfLzvA2i1nuHozhsiYZFauP8H1kFie6dSk1HUq0+ju7Vm56ywH/IMJiUpg7vLdmBob0rtT81LXGeLlRlxyGov+PERoTCJbjwby98kgxvVyVy+TmpFFQmqG+tGuiTMmRgbsOBaoXubwpVucCAwlIi6FO7HJLN52gvSsHNwa167UGF/wbM/WS0FsvBDIrfhE5u85RNy9dEZ10L5jkJmTy9yd+9lwIYCY1DSty1yJucvOKzcIjksgIjmVHQHXOHYrFPd6zpVa9srg5QlvTAVfb9B9wjLbeK/2bD8bxOZTgdy+m8jnWw8Rl5rOiK7a66afe3OMDfWZ8+dugmMS+PdyMMsPnGW8d2Hbi0pKZeHWQ2w/G6SxcV3UlfBYvv7rKDv9r5OZrX3Do7KN6NOe33ec4dCZm9yKSODTxcq+1qtri1LXiYlP5dtVB9l55AqpaaXvHBRQQGJKhsajMox5tj3L959l/+VggmMS+PCP3SiMDOnrXnp+GNbVjbupaSzccojbsYlsORXIX2eCmOBTWEdjvdpxNjicpfvOcDs2kaX7znAuOIIxXpoHYfPy80m4l6F+JBXbQfrn/DXO3AwnMiGFkJgEvtp2BDNjI5rXsX/kGCd2bc82/yA2nQvkVlwin/2tzA8jO2lvg8+3aY6xgT7vb9pN8N0E9l0JZumRs0zoVhhfF5d6dHapx/RVWzkZcoeo5FQuR8RwttjOqr6uLl+N6MN3+04QnpTyyGUujwnd2rP9fBCbzirjXLBDGecIz1LibKuMc/aG3QTHJrAvMJhlhzXjfCAhLYP4Io/8gsc/YDbeuz07zhTmgoVblLlg+ENywQd/aOaCcV6F5RvWpUhbvJvI5lOB/HU2iAnPlWyLv/17htt3E/nt3zOcC4lgbLG2aGZsyOdj+zB33T5SMzXzStr9bKb9vIU9F28QGpdE4J1YPtnwLy4OtjSys3lo7BO6tGfbhSA2nlf+Rn228xDxaemM9NAee3+35pgY6PP+lt3cvJvAvqBglh47y8QuhXG1rVub2NQ0Vp28QGRyKpciYlhz+iJuzrXUy6RkZmnUW/v6zpgYGrDFP1Db1z6WiZ3bs/ViEBv9Vb+7u8r+3e3fWhnTe1uVMe29Gsxvx88ysXNhTAPbtGDj+UD+CbxORFIKOwNvsOF8AFO6dSg9pnrOmBgYsPlCxWN6YFSPdqzadYYD/jcJiUrg4+V7HmG7qY1qu+kgodGJbDsawN8ngxjrWxhfGxcnAm7FsPPUVaITUjl3LZx/TgbRqlFhnR0PuM3ircfZf/5mufpZTZNfoPPEPGqaJ2xzr+Yx0NWllYMjR8NCNV4/GhZG+9pOj/w5ZoZGpNx/snZYtantaImtjRlnL4aqX8vOzuXSlXBaNX/0eAFMTQy5l1b1MTvbWWJnpeBUUJj6taycPC7ciKBN49LL7NaotsY6ACevhOFa3xF9Pe1dx++ZVpwIDCU2SfuOoa6ODr08mmJqZMDlkKhyRKOdga4uLWs7cvyWZnmP3wqjXZ3Hq5eytKhlT7s6Tpwt41QwoUlfTxfXOo6cvF6sLV0Po20D7XXTpn5t/G9FklVktPH49TAcLc1wtrGo0vJWhJODJXbWZpy5HKp+LSsnl4vXImjdtOLt0MhQny3fv8j2H6fy1Tt+NG3gUOHPdLa1xN5SwclrmvnhfEgEbUqpH1COthZdB+DEtTBc6zqirzqSon2Z0BKf62xryb6PX2Tnh5P4YnxfnG0tS/1efT1dhnRpzb3MLK5FxJW6XFEGerq4OjlyIrhYfggOo2097TG2rVeb82GRZOUWaYM3w3C0MMPZWtkGu7u6EBgRy8Su7hx4dwq73pjI7H7emBoaaHzWzJ5diUxKZfuFqj010EBPF1dnR47fLPY/vxlG2/ql97XzocXivKHqa9aafW3Dq6M5NHsqy6YMoWOjOuUqX4s6jpx4nFzQoGQuOHEtDEerwlzQpkHtEvnleLG2qG0ZbW3xo+E92HfpJmeCwx8pJjNjQwBS72eVuZyBnuo3KqRkG2xXWhusW5vzdzTr5tiDNmiljP3CnSjszBR4N2sEgJWpMX1bN+PIzdBSyzLMvRVHb4aWegD3URno6dLSSUtMIWG0q1t6TOeK9atjwZoxGerpkZ2bq7He/dxcWjvXUtdnccPdW3E0uOIxPaDcbjLj1JWieTGXCzcicHMpPS+2blxbYx2Ak4GhuNZ3RE+13XTxZiTN6trTqpHyYL6jjTlebRtzvAoutxJPvyd2R7agoIAffviB9u3b4+DggKurK/PmzVO/f+fOHfz8/KhduzadOnXi4MGDGusfP36c7t274+joSJMmTXj//ffJzs6u9HJam5igr6tLfIbmyEB8Rgb2CtNH+gyfhg3pUrcufwYGVHr5KputlQKAxOR0jdcTkzOwtVY88ucM6tMOBztz9hyq+msebC2V9ZCYqllHCakZ6ve0r6fQuo6+vh5WZiYllq/naEWHZnXZeqRkPbo423L0h5c5ueQ1Zo/tztuL/yI4suzrTB6HtamqHaYXK296BvZmj9YOy3J45hQC3n+VzZNH8+e5S6zzf7JOK36SWStM0NfTJeFesbpJy8DWXHvd2FkoSi6vem5n/uj97L9ma6nKD8VGSpNSMrCxrFi570QnsuCXPcz6ehsf/fAPWTl5/PLxSOrUsqrQ59qp6qD4/zsxLQM7i9L7jp25gsS0knVkoFeYH+zMldeMaixT7HMDwmL46I+9vPTLVuat/xdbC1NWzxyBpamxxnrPujbk5Bcvc3bRa4zzas/0JZtLfH9prEyVbTBeW1lKyQ92ZtrL/uA9UJ4u3L6+E81q2/H6H38z/6+DdGvagM+G+KrX6eJSjz6tmzJv+/5HKmtFPIhT6/+8tL6mLc5ifS0uNZ15W/fz+pq/mbnmL0Ljklg2ZSjuDR/vzJQH5UvU0rdLa2u2ZeQCW1X5bM1LLpOorS0+5HuHeLainp0VP+468Ujx6Ovp8tZALw5cCyH2ITtQpdZNetltsESbVf3G2ativxgezdubdrJoSG8uz32Nk+/NQAcd3t+yW+tnNrC1omPDumw8X/HtrQe/uwlafndLi8neTKF1+QfvARwLCWNwu5a0cnIEoJWTI0Pbt8JQTw9r05LbHg1srejYoC4bKiGmBx5sGyUU2wZKTM3A1qL0XG5rUXK7KbHYdtPes9f5aesxfnt3OKd+nsk/X75IcEQ83286WmnlF/9/PLHXyH7yyScsW7aMzz77jK5duxIfH8/ly4Ubz/Pnz+eTTz7h66+/ZtGiRUyaNImAgADMzMyIiopi2LBhjBgxgsWLF3P79m1ee+01dHV1+eyzz/6T8uvowKOcDeFe24lvffvyyeGDXI6NefgK/7Gez7bg7Rm91M9nzd+sdblHjRfAq3NTXproxcdf/UVsXGplFFNDn07NmT22u/r5zB+2AcqDI0Xp6Og8tMzF39fRefB6yRUHPdOauOQ0rZM4hcYkMeqTNZibGtO9vQvzXvBl6lcbCXnIpAmPq0SxHiHGRzFm1QZMDQ1o41ybt7s/Q0RyKtsDrj58RaFWsh50oIy60VKVqtefnNOsenVtzqwpPdXP3/5yK1BaLqhYuQNvRhN4s3Byo4AbUaxeOI5hvu34dtXBMtbU1Ne9OR8OL8wPr/y6TVW6YvmBSsoPxZcp9rnHr4YWPomGy6HR7PxwEgM6uvL7ocJrNM8GhzN80RqsFCYM6dyaLyf2Y/z/1hOdp3lQsewCFy+vTpm1Ump8qrV0Veu/s34XaVnKA8Xz/zrA0heGYKswJa8gnwVDfHlnw66HjthVJm19ray6LJk3H7yufCM0PonQ+MJJnS7dicbJ2oIXnnHnfBkTtpX6fcW/7iF5urR6KPpJD4vhYd/bwN6aV/t1ZeIPG8jNyy+j9Ep6ujp8PrYP5iZGvLTu0SfuKhnmQ/pZif6jelm1UmN7G+b0fY4lh09zLDgMe3MF7/R6hnkDevDelpITZA51b83d1DQO36i80b8S9cNj9qsHr6vWWnz4FHZmpvw5eQQ6OjokpGWw7WIQL3bzIK+gZN0Ma9+au/fSOHyz/DH17tSc2eN6qJ+//v22Ugv7sExeIpcWJkZAORnU5Oc9Wbh2P4G3YqjrYMXbI72ZNrALv2x/tIMoTxu5j2z5PZE7smlpaSxevJjPP/+ccePGAdCoUSM6duxIWJjylIWXXnqJPn2UU5J+9NFHrFu3joCAADp37syyZctwdHTk66+/RldXl2bNmjF37lzeeOMN5syZg6lpxUeoHkjKzCQ3Px+7Yp9pa2JaYpS2uA5OTiwbMIj/nTrB2oAnc4Tr2Jlggm4UbjwaGCgnF7CxUnA3vnAiA2tL0xKjtNp4dW7KB6/35bP/7ayyGYsPXwwh4FZhmQ1VE4/YWio0Tvm1MTcpceSwqISU9BIjtjbmpuTm5pGSrnlKtL6eLs93dmXr0QCtE17k5uUTEZcCpHA1LBbXBrUY3bM9n67aV54QS0jKULbD4qOvtqYmJUZpyyMiWXnA4cbdBOwUprzyrKfsyD6ipPRMcvPyS4y42JqZlBideCA+Nb3ECJKNmfaRw+p07HwIQcGFB+Ae5AdbK1PuJhbLD5V0PesD+QUFXL0VS91a1o+13qHAEALCiuQHfWV+sDNXEJtcmB+szUzK/F/H30svMaJuY2ZKTl5hftC+TNmfm5mdQ0hMAvXsrYq9nkt4fArh8SkEhMWwY85EBnu24qfjp7V/UBHJGao2WLwsijLaYJqWNqg6y+jBOnH30rmbmqbeiQW4FZcIQG0rc0wMDXCwMGPZC0PU7+uqNmovfzKTAd+v1thBrKjS4iyzr2mJ09ZMM05tLofH0KdN03KV73HaREJqeoncUTwXJNzTvkzxtlgypxR+r1uD2tiYmbLl3fHq9/X1dHFvVIdhXdzoNOtHcvKUp8Pq6erwxbi+NKltx6SfNpLMwy8RUtdN8d8ohUmJEcoHymqDD0Zqpz7TkYCIGJYfV86kfyM2nszsHNZOGcH//j2ucaqtgZ4ufm1d2Xhe++/043rwu1s8prL6VVxaupblNWPKys1jzvZ9zP1rP7ZmpsTdS2e4e2vSsrJIytC8fr6yYjpyMYTA24W53FA1iWXJ7SZTElNL39ZLSE0vMWJrbW5Cbm4eyaq2OMOvC3vPXGP7UeX1vCGR8ZgYGfDBhJ4s/etkpdSN+P/jiTy1+Pr162RlZeHl5VXqMi1btlT/Xbu28jz7uLg49foeHh7oFrmWoHPnzmRnZ3Pr1q1KLWtOfj6Bd2PpVq++xuvd6tXHP7r0ayA9nJxZPnAw358+xYqLFyq1TJUp834OkTHJ6kdoeAIJiWl4tC2M19BADzfXOgReK/uaz+e6NuPD1/uy4PtdHDpZeTPrFZeRlUNEXIr6cSsqgfjkdDq51isss74ebZs4c6mM61Qv34qmY4t6Gq91cq1PUFhsiSPWz7VzwcrMhO3HrvAodHULfygqQ05+PleiY+nSSLMddmlUnwsRlXctLig3RCuz7E+73Lx8giJi6dxUs248m9bnYqj2urkUFk37Rs4a/+fOTesRm5JGZGLln8VQXhn3c4iITVY/bkckEJ+URsfWmvmhbTNnAm5UbjsEcKlnT8IjHEArKiMrR71DGB6vnDwpLiUdz2aa+aF9Y2culVI/oBw5LboOgGez+gSFx5Kbn69epnMzzXrv3Kx+mZ9rqK9HAwcb4svYWARlPzR4xH6Yk5dPUFQsnV2K5QeX+ly8o70sF+9E415fsw12calHbGoakUnKNnjhThT25gqNa2Ib2CoPLEQlpxIYEcOA71Yz+Mc16sfBayGcD4tk8I9riKzkiZ9y8vIJioylS7E4O7vU52JY6X3NvUGxvuai6mtJpfe15k72xN97vLaXk5fP1YjYEm2izFwQqiUXNKtHbHJhLrgUGo1nU8222LlYW7wUGo1n8e8t0hYPBoQw+IvVDP9qjfoReCeG3ReuM/yrNeqdWH1dXRaN70dTJzsmL970yAfWcvJUv1GNi7XBxvW5UFobDI/GvV4pbVB1cNXYQJ+8YqOGDyYH0tHRHOXq0cIFa1MTNvs/2u/0w+Tk5XMlKpauxWLq2rg+F8JLj6lDsX7VtbFmTA/k5ucTm5pGfkEB/Vo149CN2yUGSHs0V8a06ULFYsrIyiHibrL6odxuSqOTa5Fcrtpuuhxcev4KCInW2NaCwu2mPNV2k7GRQYmd1fx8uQGNKJ8nckdW22mbxRkYFP5wPkhWD9YrKCgokcCKL1uZlvmfZ4hrS4a3bEVjaxs+fNYbB4WCtQGXAHinSzfWDB6qXr6Tcx1W+A3mj4DLbL9+FTtTU+xMTbEx0bz2oYWdPS3s7DEzNMTK2JgWdva42Dx8ZsCqtuGv84wZ3IlnPZvQsJ4ds1/rQ+b9HPYdKbzedc7MvsyZ2Vf9vHu35nz0Rj9+/v0Il65EYGOlwMZKgbmZsbavqHR/7PdnYm8PnmvnQmMnWz5+wZfMrBx2n76mXmbeJF/mTSq8tmvz4cs4Wpvz1ggvGtSywa9bK/p3ceX3vSXvoTromdacuXaHyPiSG2avDu5G2ybO1La1wMXZllcGdcW9aV12FfnuyrDilD+D2rgytG0rGtnZMKeXNw7mCtapbpPzpk9XVo4dorFOYzsbmjvaY21qgsLQkOaO9jR3LJwJdaxHW7ybNKS+jRX1bawY2rYlkzq7syOgcsteGdIz4OpN5SM/H6JilX9HxVZ3yWD1YX8GergyuFMrGjrYMMvPGwdLBRtU93mc2a8rv00vrJud/te4n53L/FG+uNSypXtrFyZ392D1Ic2218zJnmZO9pgZG2JhakwzJ3saORbmCH09XfUyRgb62JkraOZkT1270icTqqj1u/wZN6AjXh4uNKpjywfTe5ORlcPe44Uj+B/N6M1Hxe4J26S+PU3q22NqYoSFmQlN6tvTwLkwlklDOtPJrT5ODpY0qW/PnGm+uNSzY+u/lypc5rVH/JnUw4Pubi641LLl09HKWx3tPF/YzueP8WX+mML8sPH4ZRwtzXlnkBcNHW0Y5NmKgR1dWXWgsI7WHr6AR5O6TOrhQQMHayb18KBDkzqsPVx48PLNAc/g3tgZZxsLWtevxdcvPI+JkT47zijzqcLIkJf7dqF1/VrUsjKnRR0H5o3qiaOVGXsvPPoBwZXH/RnUzpUhHVrRyN6G9/sp88P6M8o2+EavriyfVNgG/7l0jfs5uSwY4ouLgy09XF2Y8qwHq46d11gmOeM+nw3uhYuDLe3qOfH+897sCbhBYnommTm5BN9N0Hik3s8iPSub4LsJ5DzCKayPa9Uxf/zcXRnioYzzvf7eOFgoWH9aGefrvl1ZNqVInBeVcX42zBcXR1t6tHRhirdmnOO6tsPHtTH1bK1o7GDL675d6dHShT9OPH7bW32oWC4YpMwFD+75+lq/rvw2o2Qu+LRILpjU3YPfDxeWb+MJZVt818+Lhg42DO7UioEerqw6WKQtHrlAR5e6TO6ubIuTu3vg4VKHNaq2eO9+FsExCRqPzOwcUjLuE6y6n7Kerg5fTexH6/q1mfX7LgoKCrA1N1XecukRDqqsOuGPX1tXhrZX/ka938cbe3MF68+q2mCPriyfWBj735evkZmTy+eDfGniYEvPFi682M2DlScK4zp4/RY+zRsx0sONOtaWtKvnxOy+3lyJii1x+5th7q05dfsOEZV4AGXlSc2YZvdWxrTunOp3t3tXVowvElOAKia/YjGdLIypga0VA9xaUN/GitbOjnw9tC9NHGz5dv/xEt8/zL01J29VbkwP/PnvBSb08eC59qrtpknatpt6a9weZ/PhSzhYm/PmCG8a1LZh4DOt6N+1JWv2FMZ39NItBj3bml4ezXCys6CTaz2m+3Xl2OXb6h1cEyMDmta1p2lde3R1dKhlY0HTuvY42phXepxPguqeqbgmz1r8RJ5a3KxZM4yMjDh8+DCNGzd+7PWbN2/O1q1byc/PV4/Knjx5EkNDQxo2bFjZxeWfmzewNjHhlY6dsDdVcCMhgUnbt6rvIWuvUFDPsnDDcYhrS0wNDJjq3oGp7oXTqUekpvDsimWFnztmnMb39GjUuMQy1eGPrWcwMtLnzak9MDMz5uqNaN78eKPGPWQd7TWTzcDebdDX12PmlO7MnFJ4fdqFwDu89kHF7+X7MKt2n8PIQJ/3RvtgrjAi8FYML3+7ReNeaLWKJcio+FRe+34rbw33YqiXG3Ep6Sxad0h9D9kHnO0s8Whel9m/7dT63baWpsyf3BtbC1PSMrO5GRHPa99v5WSxmf0qalfQDaxNjJnxTEcczBTciEtg6p/biFL9mNubKahrrbkD8+soP+pYFb62fepYAJp9+i0Aejo6vN39GZwtLcjLz+dOUjJf7z/Gn0/YPWQBrlyHCa8XJuEfVygffr0L+Pz9aiwYsOfiDaxMjZnasyP2FgqCoxN46bdtRCep6sZcobFzmXY/m6m/bGbOYB/WvTGa1MwsVh3yV99D9oFNb4/VeP5cq8ZEJqbQe/5yABwszDSWqWdnxfAubpwNDmfS4k1VEuuav85iZKjP2y90x1xhTFBINK8v2KRxD1lHu5IzL69eOF7j+TPujYmOS2Hwa8r7xpqbGjFrSi9srUxJy8jmRuhdZnyynqCQis8tsGK/Mj+8P8QHC1MjAsJimLGkWH6w1swPkYmpvPzrVt7x82J4V2V++GLLIfU9ZEE5CjZr9U5e6duFl3p3JjwhmVmrdmrcQ9bRypyF4/tirTAhKS2Ty2HRjPt2nbpt5OXn41LLFr9OLbFSGJOcfp8rd2KZ9MNGbkbHwyPOobU7QNkGp3t3xN5cwc3YBKat3kaU6t6lduYK6toUaYNZ2UxesZkP+/uw8aXRpN7PYuVxf417yGZk5zB5xWbmPP8c62eMIvV+FvuDgvlmz7FH/+dXst2XlXFO81HFGZPA9JXbiFbFaW+hoK6tZpxTlm7mAz8fNryi7Gsrj/pr3EPWQE+Pd/o+i4OlGVk5uQTHJjB9xVaOXg997PLtuXgDK4UxL/YqzAUv/1okF1goqFMsF0z7eTOzh/jw55vK8q0+5K++hywo2+JLv23l3SJtceHWQ+p7yIKqLf6+k1f6FLbFd1ftLHEP2bI4Wprj09oFgPVvjdF47/0te9h2sezJG3cF3sDKxJjpXqq6uZvA9DVFfqPMFdSzLtYGV23mo+d92DhN2QZXnPBX30MWYNvFIBRGhozp1JZ3fZ8lLSub07fD+Wqv5sRBdawt6dSwLm9t1P47XV67rijb24xnO2Jvpoxp2tpiMRXvV6s382E/HzZNHU1KpjKmB/eQBdDV0WVi5/Y0tLMmNy+f06HhjFq2vsSIbR1rSzwb1uXNTZUb0wOrditz+azRPpgrjAm8FcMr32zWzIu2JbebZn63lTdHeDHU24245HS++vOg+h6yAMv+PkVBQQHT/brgYG1OclomRy+FsHhr4Y66awNHfnlnuPr5dL8uTPfrwl/HrzBvRclrn8X/XzrJyclP5Mnoc+fOZeXKlerJnhITE7l48SI9evSgTZs2HDx4kHbtCu9/ZmVlxapVqxg4cCBRUVF06NCBESNGMH36dEJDQ3n11VcZNmyYerKnGTNmkJiYyPr1mjtR7VZW705iVXE+mPfwhWqYDPsn8jhMhaXVe/gyNdHVF5dUdxEqXZsvZ1R3EaqEWXTlj5Q9CTIcn8iTkCok58mdxLpCdJ6+nywA9P67Oa/+MzlP5yAZBU9fugDALOKJ3OyvsP1fT67uIpRb79OfV3cR1HZ3quYj/4/pid0TmDt3LlZWVixatIg33ngDBwcHRo4c+UjrOjk5sXHjRj766COeeeYZLC0tGTp0KB999FEVl1oIIYQQQgghHo3MWlx+T+yOrK6uLm+88QZvvPFGifeSk5Mf+lrXrl3Zv7/0+9YtWfL0jQ4JIYQQQgghxP8HT+yOrBBCCCGEEEI8zWriJEtPiqf0CgAhhBBCCCGEEE8r2ZEVQgghhBBCCFGjyKnFQgghhBBCCFENCp7OiaT/EzIiK4QQQgghhBCiRpEdWSGEEEIIIYQQNYqcWiyEEEIIIYQQ1SAfmbW4vGREVgghhBBCCCFEjSI7skIIIYQQQgghahQ5tVgIIYQQQgghqkFBgZxaXF4yIiuEEEIIIYQQokaREVkhhBBCCCGEqAb5MiJbbjIiK4QQQgghhBCiRpEdWSGEEEIIIYQQNYqcWiyEEEIIIYQQ1aCgoLpLUHPJiKwQQgghhBBCiBpFdmSFEEIIIYQQQtQocmpxMQapT+fMYYnNn76qzjOu7hJUjVyTp/MckzZfzqjuIlS6S+8uqe4iVImOH0yv7iKIR6SXVd0lqBo6+dVdgqqhn1ndJah8mQ7VXYKqoYis7hJUjVyTp3M7tyaT+8iWn4zICiGEEEIIIYSoUZ6+YTohhBBCCCGEqAFkRLb8ZERWCCGEEEIIIUSNIjuyQgghhBBCCCFqFDm1WAghhBBCCCGqQb6cWlxuMiIrhBBCCCGEEKJGkR1ZIYQQQgghhBA1ipxaLIQQQgghhBDVoKCguktQc8mIrBBCCCGEEEKIGkV2ZIUQQgghhBBC1ChyarEQQgghhBBCVIMCmbW43GREVgghhBBCCCFEjSI7skIIIYQQQghRDQoKdJ6YR2mWLl2Km5sbjo6OeHl5ceLEiUeKLSQkhDp16uDs7FxZ/y4NsiMrhBBCCCGEEKKELVu28N577/HWW29x5MgROnbsyLBhwwgPDy9zvezsbCZNmkSXLl2qrGyyIyuEEEIIIYQQooSffvqJ0aNHM2HCBJo1a8aiRYtwdHRk+fLlZa43d+5cWrZsycCBA6usbLIjK4QQQgghhBDVoOAJehSXnZ3NxYsX8fHx0Xjdx8eH06dPlxrTnj172LNnD1988cVj/S8el8xaLIQQQgghhBBCQ0JCAnl5edjb22u8bm9vz927d7WuExMTw8yZM/n9998xNzev0vLJiKwQQgghhBBCCK10dDQngiooKCjx2gNTp05l0qRJeHh4VHm5ZERWCCGEEEIIIarBk3wfWVtbW/T09EqMvsbHx5cYpX3gyJEjHD9+XH1acUFBAfn5+dja2vL1118zceLESiuf7MhWktHubkzu3AF7cwU34xJYsOcw58MjtS5rqKfHvH7daVnLgUZ2NviHRzH+900ay/Rs7sLI9m641rLHSF+f4PgEfj52hgM3blVpHCM93XjhWWUcwbEJLPz7MP6h2uMAaOJoy5yBPrSuW4uUjPtsPHOZJfu1nzPfvr4TK6YO43ZcIn7/+13jPYWRIa/16kKv1k2wMjUmJjmN/+05zp6AGxWOaZSHG5O7qGK6m8CC3Yc5f6f0mJo62PJhXx9aO9ciJfM+689fZvFhzZhGe7RhTMc2OFtZEp2Sys9Hz7D90tUSMb3u0wVf1yZYmRgTnZrGt/uPs/tKxWMqzZi2bXjRowMOCgU34xP49OAhzkWW3g7n9+xBS0cHGtvYcD4qijHrN5ZYrn/z5kzt2IGG1takZWdzPOwOnx86THxGRpXEMKKLGxOf64C9hYKQmAS+2HYY/9tltMHatswe7EOreso2uOnkZX7eW1hfduYK3hn4LC2cHahnb8Xf567ywbq9Gp/R2NGWl3p3xrWOA3VsLVm85yRL9pyqkvge19lLsGIdXLkBd+N1WPBeAYP6VHepNE0d0JlBz7bG3NSYK7ej+WLtAW5FJZS5TvumdXhjhBeNnGyJS07j993n2Hz4ssYyI7u3Y6h3G2rZWpCSlsnhiyH8sPkomVk5AAx7rg2DvdyobWsBwK2oBJb9fZrjAbcfO4bpvT0Z0rk1FibGBNyJ5vNNBwmJKTsG98bOvO3nReNatsSlpLPywDk2ntCMobubCy/37UJdO0vC41P48Z/jHAgIUb+/86NJONtYlvjsI1du8epv29HX1eWVfl3o2qIBdW2tSLufzdngcL776xgxyfceK8YRXdyY6K3MhSGxCXyx/SF9q5YtswcV6VunLvPzvsK+1b2VC8M7u9HcWfk7FXI3gd/+PcOhoMLfqYEdXJk/0rfk/+6978nOzXus8qtjeK4Ddqr88OUj5If3i+WHX/Zq5nP3xs68M0BVj6nprDhwjo0nL2v9vD7tmvHFuL4cvnKLV5dtV78+w9eTGb6dNZaNT03H5+NfHzvGB6Y978ngbsp+FRgazcI/D3Ir+iH9qokzbw190K/SWbX3HJuPFsbSv7Mr8yaUrA/PVwrrw9TIgJcGdOG5ti5Ym5tyPfwuizYcIigsttyxlGZ0ezemdOqAg5ly2+mzfw9zLqL036xPe3fHtZYDjW1t8I+IYuwfm7QuC+Bex4k1Y4ZxKyGRfkt/L3W5yjK9ryeDuypzSGBYNJ+vf4Qc4uLMW4O9aFxblUP+PcemY4X11bNdEyb29KCenSX6enrciUtizcEL/HU6SL3MiGfbMKRra5xslHkwJCaBpbvPcPTK4+fBEjH1KRbThkeMaVCxmI4XxjS4Syue7+hK41q26OrAtYg4fvrnBBdvRamX2fnxJJxsS+bFo1du8erP20u8LqqOoaEhbdu25eDBg/j5+alfP3jwIAMGDNC6TvFb8+zcuZOvv/6a/fv34+TkVKnlq5E7svn5+bz55pts376dpKQkunbtiqurK4sWLaqW8vRxbcpsX2/m7TrA+fAoRru78dtoP/otWU10askNDT1dHbJz81hz9hJeTRpgbmRUYpmO9epwKjSc/x06Tkrmffq3bsGPw/ozbvWmUneQK6q3W1Pe6+/N/G0H8A+NYmRnN355wY8B36wmOqVkHAojQ5ZOGcK525GM+PEPGtpb89kwXzKyc1h11F9jWQsTIxYM783pkDs4WJhpvKevq8tvkweTmnmft9b+Q0xqGrUszMjOe/yNnOL6tGzK7N7efPLPAc7fiWK0hxu/jvXj+Z9Kj2nZ+CGcC4tk2G9/0NDWms/9fMnMzmHFSWVMIzu48VbPbny0418uRcbg5uzIp/17kpqZxUHVgQZ9XV2WjVPG9PrGf4hNTcPRwqxcG26Pql+zpnz4nDdz/z3AuchIxrZtw/Ihg/BdsYroe9rbYVZuLr9fuIh3w4aYG5dsh+5OTnzdtzefHz7CvuBg7EwVzOvhw7f9+jJuY+kbEOXl27YpswZ589nmA/jfimJkVzeWTPVj4BertW60K4wM+XXaEM7fimTUt3/QwMGa+SN9ycjKYfVhZX0Z6uuRlJ7JsgNnGerZWuv3GhvqE5WYwv6Am7zap2ulx1URGZnQpCEM9IX3FmibiqF6TejtwZhe7sxbvoewmESm9PfkpzeHMGTOCjJUO5zFOdlZ8N3MQew4FsiHS3fR1sWZ98b4kHQvkwP+NwHw7dic14Y+w/xV+7hwMxJne0s+nNALIwN9Pl2lPBBxNymNHzYd5c7dZHR14PkuLfn65QGMnb+W4Ij4R47hhe4dGO/tzod/7CHsbhJTfT35ecZgBi5YWWoMzjYW/DR1ENtOBzJ7zW7aNXRi9jAfEtMy2H85GAC3BrX5ckI/luw+yf7LwXR3c2HRxOeZ+P16AsJiABjz9Z/o6hYejbe3UPDnW2PYe1H5fzA21Kd5HQeW7jvDtcg4zI0NeWugF4unD2LYl7+Tr3V6jpJ82zRl1kBvPttyAP/bUYzs4saSKX4MXFRG35o6hPO3Ixn13R80sLdm/ghlfn/Qtzo0rsOZ4HB+2H2clIz79Gvfgv9N7M+kJZs0di4zsnPo+7nm7JblyYW+bZvy7iBvFqjyw4iubiye6odfGfnhF1V+GK3KD5+O9CWzSH5wtrFg8ZRBbD0TyPtrd9O+kROzh/iQlJ7Bv6p6fMDZxpI3+z/D+ZAIreW7HZvIpMWFBwPz88vfXyf06sDYHu7MXbWHsNgkXuznyZKZgxk0t/Q26WRrwQ+vDGL7iUA+WLGbti5OvDfKh6S0DA5cKIwlMyuHAR+WXh8fjetJE2c7Plq1h7tJ9+jbqQVLXh/C0HmriEtOL3dMxfVt0ZQPenjz8Z4DnI+IYnR7N5aO8KPPb6VvO2Xl5rHm/CW8GjfAQsu20wMWxkYser43J0Pv4GhuVupylWVijw6M83HnozV7CI1NYlofT5a8Ohi/T8qurx9nDGLbqUDmrNpNu8ZOvD9CWV/7LyrrKzn9Pkt3n+Z2bCK5efk826oRc0f3JOleBseCQgGITbrHd9uPceduEjq6Ogzo5Mo3U/sz+os/uBn16HmwzJjuJjGttydLXhmM36cPiWm6KqbVqpiGq2K6pIypg0sd9vhf5+KtKO5n5zL2ufYseWkwI75Yw524ZADGfPUnukVOW7WzVPDnO2PYq/p9EP+tl19+mWnTpuHu7k6nTp1Yvnw5MTExvPDCCwDMmzeP8+fPs2PHDgBcXV011r9w4QK6urolXq8MNfIa2b1797J27VrWrVvH9evXycnR3qH+Ky94tmfrpSA2XgjkVnwi8/ccIu5eOqM6uGldPjMnl7k797PhQgAxqWlal/ls7yF+O3GWgKhY7iSl8NORU1yJvkuPZo2rLI4J3dqz/XwQm84GcisukQU7lHGM8NQex/Ntm2NsoM/sDbsJjk1gX2Awyw6fZUI39xLLfjKkJ9v9g7h4J7rEe4M6tMRGYcqrq3fgHxZFVFIq/mFRBEZU/OjvxM7t2XoxiI3+qrrZVXbd9G/dHBMDfd7bupubdxPYezWY346fZWLnwpgGtmnBxvOB/BN4nYikFHYG3mDD+QCmdOugXmZwu5bYKkx5ed0O/O9EEZmciv+dKAKjKv+I9gOTOriz5UoQ6wMCCElMZN6Bg8SlpzOmbRuty2fm5PLhv/tZdzmA6DTt7bCdU21i0tJYcd6fiJRULkZHs/rCRdrUrlUlMYz3as/2s0FsPhXI7buJfL71EHGp6Yzoqr2++rk3x9hQnzl/7iY4JoF/Lwez/MBZxnsX1ldUUioLtx5i+9kgUjLua/2cK+GxfP3XUXb6Xyczu3rzSXFenvDGVPD1Bt0nMGOP6tGOVbvOcMD/JiFRCXy8fA+mxob07tS81HWGeLUhLjmNRX8eJDQ6kW1HA/j7ZBBjfQvrrY2LEwG3Yth56irRCamcuxbOPyeDaNWosO0dvhjCicBQIu4mcyc2mcVbj5OelYNbo9qPFcOYZ9uzfP9Z9l8OJjgmgQ//2I3CyJC+7qXHMKyrG3dT01i45RC3YxPZciqQv84EMcGnMIaxXu04GxzO0n1nuB2byNJ9ZzgXHMEYr3bqZZLSM0m4l6F+dHNtSFpWFvsuKs/cSLufzfQlW9hz4QZhd5MIvBPLpxv+pXEtWxo62jxyjOq+dVrVt7ap+lbnUvpW+2J9KyCY5QfPMv7Zwvi+2H6IZQfPEhgeS3hCCj/vO0VQxF18WhX7nSoo0Igx4V75zuYY79WeHUXyw0JVfhj+kPzwQbH8MK5IfhjWRVWPWw9x+24im08F8tfZICZ4a/6O6evq8uW4Pvyw8wQRCSlavy8vP18jxqT0zHLFCTC6e3tW7jnLgQvBhEQlMHflbkyNDenTsfQ2OfRZN+JS0vhy/SFuxySy9Vggf58MYnxPzVgKCgpISM3QeDxgZKCHT7smfL/tGOdvRBAel8Ivf58i4m4yw57V/ltSXpM6tmdLQBAbLgUSkpDIp/sOEZeWzuh2pW87fbRnP+svBhBzT/tv1gOf9+3JlsAgLkSW3OaoCmOea8+KfWfZfzGYkOgEPvxdmUP6dCgjh3RT1tcXG1U55EQgf50OYnz3wvo6eyOcg5dDCI1NIiI+hT8OXeBmVBztXJzVyxwKuMXxoFDC41O4czeZH/86Qcb9HNwaPl4eLBGTtyqmS6qY1jxCTF1VMW0qPabZq3ez/sglrkfEEXY3ic/W7yc9K5suLRqol0lK08yLz7g2JP1+FvsuVN0ZbdWquqcqLmvaYmDw4MF8/vnnLFq0iGeeeYZTp06xYcMG6tWrBygnd7p9u+JnAJTHE7hZ9HC3bt3C0dGRTp064ejoiIGBQbWVxUBXl5a1HTl+K0zj9eO3wmhXp3KHzxVGBqTe174hXlEGerq4Ojty/KZmHCduhtG2vvY42tSvzfnQSLKKHMk9fiMMR0sznK0t1K+N9HTDzlzBLwe0n3Ls49qYC2FRzB7wHIfnTGXHG+N5qYcn+hXcajfQ06WlkyPHQ4rVTUgY7epqj6lt3dqcC9OM6VhwGI4WZjhbKWMy1NMjOzdXY737ubm0dq6lLnP35o3xvxPFB32e4+jbU/n75fG84l3xmEpjoKtLK0dHjoaGarx+NDSM9hU4jeN8ZBT2CgU+jRoBYG1izPPNmnGoChKWvp4urnUcOXlds75OXg+jbYPS26D/rUiycoq0weuqNmhjoXUdUXmc7SyxszLj1JXCOsvKyeXCjQjcXEpvd60b19ZYB+BkYCiu9R3R01P2kYs3I2lW155Wqp1SRxtzvNo2LvW0YV0dHXp5NMPUyIBLIY++8epsa4m9pYKT14rGkMf5kAjalNLuQDnaWnQdgBPXwnCt66ju59qXCS3zcwd1asXOc9e4n5Nb6jIKY0MAUjOySg+sCH1Vfj95o9j//MZD+tbtUvJ7GX1LYWRAarEDRkYG+uyZM5l/P5jCj5MG0txJ+3VVD4uhRR1HTlQwP5wolh/a1K9dIuccv65ZjwCv9u1KZGIqO84FURpnW0v2zX2RXXMm8cW4vlpPGX8UznaqNhmk2Sb9b0bg1qiMNtmoNqeCiv1/gsJoUV8zFiNDff75bDK7Pp/Cdy8NpFndwvrQ09VFX0+X7BzNEfP7Obm0LaNPPy4DXV1a1nLk2G3N8h67HUb7Cm47jW7vhp1CweLjpd8apDKpc8jVYvUVHEHbsuqrYcn8cPJqGK71HEvdVujYtC4NHGzwD9Z+Zp6ujg6+7k2VefB2lNZlHkVpedE/JIK2DSs3JgN9PYz09UrkjaL8Orfin4fkRVG1pkyZQkBAAHfv3uXw4cN07Vp49tqSJUsICAgodd0xY8YQWcplbhVV404tnjFjBn/++ScAVlZW1K1bl3r16pGbm8usWbNYt24dAOPHj2fevHnoqjrOjh07WLhwIbdu3cLY2BhXV1dWrlyJg4NDhcpjbWqCvq4u8emaR5gT0jPoYmZaoc8uanSHNtQyN2d7wNWHL1wOVqYm6OvpkpBWLI60DDxdtMdhZ6YgttjpPw+OtNuZK4hMSqWJoy0zunsyevE68gu0H+qpY2NJp8Z1+efSNWas3IaztQUfDPTB1NCAr3YeLXdMD+omQUvd2JVSN/ZmCmKKx6Ra395MQWRyKsdCwhjSriV7rwYTGBVLKydHhrZvhaGeHtamJsSlpVPX2hLPhnX5O+Aa09duw9nKgg/7KWP6cm/5Yyo1VhNVOyx23Wp8RgZdFeVvhxeio3n97518068Pxvr6GOjpcTQ0lHd27alokUuwVqja4L2SbbCTeSlt0EJBbHIZbTAxtdLLKQrZWirrpeiIDkBiagb2VqWfzmdroeBM6p0S6+jr62FlZkJCSjp7z17H0syY394djg6gr6/HPyeC+H6TZv9p7GzHivdHYmigT2ZWNm//tIOQyEc/nc5O1baKt7vEtAwcLEuPwc5cwek0zRgS7mVgoKeMIT41HTtzhdacamehvT13blaPOnaWbDkVWOr36uvp8tZALw4FhnA3Je2RfsXVfUtLWUrtW+YKYlMer2+N7NIGR0tz/vIv/J0KjUviow37uB4Vh8LIkDHPtGP1KyMY+s0a7sQnP7zwxWJI1JIfPEuJwbaM/GCrisHWXMGpm8Xa4oN6VJgQfy+dzk3r4du2KcO+XlNq+QLCYvjwz73cvpuIjZkpU3t25PfXRjDoy9WlnglSGltV+0jU0q8cHtKvTl8t2a+KtsmwmCTmrd7HjYg4FMaGjPJpx/J3RjBy/hrC7yaTkZXDpZAopvTpRHBUPAkpGfT2aIZbo9qE301+rDjKUubvc4Py/2Y1tbfl1W6eDFtV+jZHZXvQn0v8dt0ru77sLBScvlYshxSrLwAzY0P2fvYiBvp65OcX8PmGAxxXnVb8gIuTLavfGomhvjIPvvnbXwQ/ZJ6CcsX0kDZoZ6Hg9PWy82Jxr/TrQkZWDocDtc8B07m5Mi9uPVF6XqzpnuTJnp50NW5HduHChdStW5e1a9dy4MAB9PT0mDBhAhs3bmTUqFHs27ePK1euMHPmTBwdHXnllVeIjY1l8uTJfPTRRwwYMID09HTOnTtXqeUqkS91dEq+Vk69mrvwbo9neHPLTqK0XNdZmUqWuew4Ssb94PUCDPT0+Gp0P77aeZTIpNJ3KHR1dEhMz2Du5n/JLyggKPIuVqYmvPu8V4V2ZEsrow46ZV5VVnJ51euqtRYfPoWdmSl/Th6Bjo4OCWkZbLsYxIvdPMgryFfHlJCewYc7lDFdiVbG9J6vV5XsyJZV9oq0QxdbGz7yeY6fTp3myO1QHMwUvOf1LJ/17MHbu3ZXqKyl0dYGy6owLV1P9fqTdz1pTde7U3Nmj+uhfv7699uUf2hpeA/77xevH/U0/qrPat+0DpOf92Th2v0E3oqhroMVb4/0ZtrALvyyvXAiibCYREZ/sgZzEyN83Jswb1Jvpi3aQEgpG3F93Zvz4fDu6uev/LpNe3kekvuKFLVIDA9eL/KGtvxT2ulbnVsTGBbD9cg4re/r6eqwYGwfLEyMmLn08Sc80dq3HmN5rfGp9GjtwpvPP8O7a3YSnVT4O3UpLJpLYYUj5BdDo9j05lhGd23Lwu2HHqP0pZTpYb9RxZ4XXnZX+E6pv2MUYKUw5tNRvry3Zhf3MksfAT92LVTj+eWwaHbNmcQAD1d+P+yvfSWVPh2bM2d0YZt87adt6u/XLHvZv13KdYoplg8v347m8u3C+rgUEsWfH4xlpHdbFm04BMCHK3Yzd3wv9iycSm5ePtfC77Ln7HWa16vYgX+t5dW27VTOzzLU0+N/A/ux8MBRIlKq7iBm3w7N+WBUYX29umQbULJf6DzCdmCpv19FVkzPymbE52swNTKkY7O6vDXYi6iEVM7cCFcvExqbxIjP12Buakz3ti58Ms6XKd9tJOQhk4NpxDSySEw/VyCmx8gbo73aMaRra6b/tJn0+9laP29wl7Lzovj/rcbtyFpaWmJubo6uri6Ojo7q1x0dHfnyyy/R0dGhadOmBAcHs3jxYl555RWio6PJyclh4MCB6vO5K+uC46SMTHLz87EvNsJna2pSYpS2PHo1d+FLv97M2r6nSmcsTs7IJDcvXz068YCtmUmJo/gPxKela1ledRQvLQN7CwUujrbMH9qL+UN7AcodPF1dHS59NpMZK7dy4uYd4u6lk5uXr3H0NORuIqaGBlgrTMp9ndGDuik++mqjKD2muLR0LcubquJVrpOVm8ec7fuY+9d+bM1MibuXznD31qRlZZGUoSxr3L10cvKLxRSnisnURL1cZUnKVLVDRfF2aFqh2YWnd+zI5ZgYfjurPPBzPT6ejJz9bBg1kq+PHSP6IdcpPY6kdFUbtHiMNphasg3amGk/kiwq7sjFEAJvx6ifG+rrAWBrqSA2qbAt2JibkqjlyPsDCanp2FooNF6zNjchNzeP5HTl6NUMvy7sPXON7UeVR+FDIuMxMTLggwk9WfrXSfJUE+nk5uUToRopuhoWi2sDR0b3dFdPCFXcocAQAorsWBnqK38G7cwVxCYXxmBtZlJmG4q/l46tlraXk5dHiioG7cto/1wbMxOea9WYBZsOaP0+PV0dFo7vS5Padkz+ceNjjfKp+5a2/F5KjPH30kv0RZsi+b2oHq1dWDCqN3PW7dGYsVib/IICrkTEUt/e6pHLXzQG2xJlKj0/JDxCfki4p32ZB/XYtqETDpZm/Dp9iPr9B5PQ+C+ayeAvVxMal1TiuzOzcwiOTaC+3cPjPHwphMAiO5cGqjZpa6HZr6zNTUqc/VAi3uL/H3NVLGna20t+QQFXw2Kp51BYzoj4FF78ZiPGhvqYGRsRn5rOwil9p/iBLgABAABJREFUiYzXfm1weZT2+2xralJilPZR2ZspaGJvy8J+vVjYr8g2h44OV2fN5MUNWzl2+85DPuXhDgWEEBCqJYdYaOYQGzOTEmcQFBVfVn2lF9ZXQQGEq/731yPjaFjLhsm+HTV2ZHPz8lXLpBB0J5aW9Wox9rn2zPtjX+XGZF6OmMxKxgTKndiXn+/Cy0u2EljKjNjWZiZ4t27M5xu150UhauQ1stp06NBB48a8HTt2JCoqitTUVFq3bo23tzddunRh3LhxLFu2jPj48s/kVlROfj5XomPp0qi+xutdGtXnQkT5r08A5WzIi/z68P6Ovey5WrUzteXk5RMUGUsXF804OrvU52KY9jguhUXj3sBZvTGrXL4esSlpRCalcjcljYHfrmbI92vUjw2nLxMWn8SQ79dwUbUxeSEsinp2lhS9r3IDOysysnMqNFlGTl4+V6Ji6dpYM6aujetzIVx7TBfDo+lQXzOmro3rEZuaRmSy5hHe3Px8YlPTyC8ooF+rZhy6cVt9JNI/PIr6NsVislXFVMk7saBsh4GxsXSrrxlrt/r18Y8qfzs0MTBQjzI/UDgTZ+WeCpObl09QRCydm2rG4Nm0PhdDS2+D7RsVa4NNVW1QTiuudBlZOUTcTVY/bkUlEJ+cRifXwjoz1NejbRNnLgeX3u4CQqLp5FpP47VOrvUJCoslL0/Z3oyNDNQ7qw/k5+c/tNXp6uhgYKBX6vsZWTmEx6eoHyExCcSlpOPZrLA8hvp6tG/szKVS2h3A5dBojXUAPJvVJyg8ltz8fPUynZsVy6nN6mv93IGdWpKdm8fuC9dLvKevq8uXE/rR1MmOKT9teuyDNLmq/P7Yfathsb7VpGTf8m3TlM9H9+HD9XvZd/nRfqea1rYjrowDHaXFcLUK8sOlsGg8m2rWY+emhfV4JTyGwV+uZvjXa9SPQ1dC8L8dyfCv1xCRqH3nzlBfj4YONsTde3icGVk5hMelqB+3olVtsoVmm2zn4szlW2W0yVvRdGxerE22qM/VsMI2qU0TZzviU0qW8352LvGp6ZibGtHZtT6HL1XewfSc/HyuxMTStUGx3+eG9fEv57ZT7L00+v62mgHL1qgff164TGhiEgOWrcE/onImfio1hzQvVl+NnTVuKVPc5dvRdCqeQ5rXJ+hO2fWlq6Oj0aa1L8NDlynqkWNq5MzFMq69fdSYxj7Xnlf6d+HVn7eV+T8a6KnKi+dL5sWnSUHBk/OoaZ6aHdmy6OnpsXXrVrZs2ULLli35/fffad++fZkXJj+OFaf8GdTGlaFtW9HIzoY5vbxxMFew7rzyvllv+nRl5dghGus0trOhuaM91qYmKAwNae5oT3PHwgkX+rZsyiK/3nx94BhnwyKwU5hipzDFUsstUirLqmP++Lm7MsSjFY3sbXivvzcOFgrWn1bG8bpvV5ZNKYzjn4vKC+8/G+aLi6MtPVq6MMXbg1XHzgPKHb3g2ASNR0J6Btm5eQTHJpChmh12/alLWJoY835/bxrYWdO1SX1e7tmZdScvVTimlSf98WvrytD2yrqZ3dsbe3MF686p6qZ7V1aML4zp74BrZObk8rmfL00cbOnZwoUXu3mw8uR59TINbK0Y4NaC+jZWtHZ25OuhfWniYMu3+4+rl/nzrDKmOb29aWhrTbfG9Xn1uc78ebbiMZVm+bnzDG7VkuGtW9HYxoYPn/PGwUzBH5eU3/n2M934fdhQjXVcbG1oYW+PjYkxCgMDWtjb06LIDa4PhITQo3FjRrdxo66lJe5OTnzU/TkCY2K13tKnolYf9meghyuDO7WioYMNs/y8cbBUsEF1b86Z/bryW5GRkZ3+17ifncv8Ub641LKle2sXJnf3YPWh8xqf28zJnmZO9pgZG2JhakwzJ3saFZnxVV9PV72MkYE+duYKmjnZU9eufJO1VKb0DLh6U/nIz4eoWOXfVTgB9mP5898LTOjjwXPtXWjsZMvHk5S3N9l9+pp6mXmTejNvUm/1882HL+Fgbc6bI7xpUNuGgc+0on/XlqzZU1hvRy/dYtCzrenl0QwnOws6udZjul9Xjl2+rd7BfWVIN9o2caa2rQWNne14eXA33JvVZfepx5tLYO0Rfyb18KC7mwsutWz5dLTyFk47zxfGMH+ML/PHFN5/c+PxyzhamvPOIC8aOtowyLMVAzu6supAYQxrD1/Ao0ldJvXwoIGDNZN6eNChSR3WHr5QogyDPFux+8L1Ere10NPVYdEL/XCrX5tZq3dRUFCArbkptuamGJWxw17c6sP+DOzgyuCOqr41UJnfN5xS9a0+XfltWpG+dUHVt0ao+lYrFyb7eLD6SGF8vds25fPRvfnfP8c4dytCXS4Lk8Lfqek9PenStD51bCxp5mTPJ8N70qS2HRtKuU/rQ2PQkh8e3Lv3tVLyw6dF8sOk7h78XiQ/bDyhrMd3/bxo6GDD4E6tGOjhyirVMpnZuQTHJGg87mVmkX4/m+CYBHJVB17e6v8M7o2dcbaxoHW9Wnw94XlMDPXZcbb0yaHK8sd+fyb6euDTVtmv5k1Q9qtdZwrb5CcTfflkYmGb3HTkMo7W5rw9zIuGtWzw69qK/p1dWb2vMN6p/Tzp7FofZztLmtaxZ+64nrjUsWNTkXvNdnatT5eWDXCytaBTi3r8+sZQQmOT2HHiSrliKc3yM/4MdnNlWJtWNLa14YMeyt+sPy8oy/KWV1dWjdLcdnKxtaGFgz3WJiaYGhrSwsGeFg7K36zc/HxuxidoPBLSM8jOy+NmfAIZVXiHi7UH/Xmhpwc+bVxoXNuWT8Ypb1W161xhfX06zpdPxxXJIccu42hlzjtDVDmkcysGdHJl9f7C+pri25FOzerhbGtJQ0cbxvm0p1/HFvxztvBzXxvQjXaNnXGyscDFyZZXB3SlQ5O67Czy3eWK6ZA/L/QoEtPYR4jpuCqmwaXHNKG7OzMHdOPjtfsIu5ukzhtmqknsihrcuRV7/EvmRSEeqHGnFpfm/PnzFBQUqEdlz549S+3atbGwUM5MqKOjQ8eOHenYsSOzZs3C09OTrVu30rq19vtKPo5dQTewNjFmxjMdcTBTcCMugal/blNfz2pvpqCuteYG8a+j/KhjVfja9qljAWj26bcAjGzvhoGeHnN8vZnj661e7nRoOON/r/z7dwLsvnwDK1Njpvl0xN5cwc2YBKav3Ea0arIMewsFdYvcoDotK5spSzfzgZ8PG14ZTWpmFiuP+pe4h+zDxKSk8eKyLbz7vBebZ44l/l46W89dKXWW48ex64oyphnPdsTeTMHNuwlMW1ukbswV1LPRjGny6s182M+HTVNHk5KZxYoT/up7yALo6ugysXN7GtpZk5uXz+nQcEYtW68xYhuTmsbk37fwnq8XW6ePJT4tnc0XrvDzkaqbRfGf6zewMjHhZc9O2CsU3IxPYPKWrUSpJq9yUCioZ6XZDpcNHkQdy8LX/p4wDoDGX30DwOYrQSgMDRnXri2zvb24l5XFqfAIvjh8pEpi2HNRWV9Te3bE3kJBcHQCL/22TX3Nnb25QmPnMu1+NlN/2cycwT6se0PZBlcd8lffI/KBTW+P1Xj+XKvGRCam0Hu+8l6KDhZmGsvUs7NieBc3zgaHM2lx1fS3R3XlOkx4vXAc8scVyodf7wI+f78aC6ayavdZjAz1mTXaB3OFMYG3Ynjlm80aGx61bM011omKT2Xmd1t5c4QXQ73diEtO56s/D6rvIQuw7O9TFBQUMN2vCw7W5iSnZXL0UgiLtxYeMLK1UPDplD7YWpiSlpnNzYg4XvtuS4kZkR9mxf5zGBno8/4QHyxMjQgIi2HGki2aMVhrxhCZmMrLv27lHT8vhnd1Iy4lnS+2HFLfQxbgUmg0s1bv5JW+XXipd2fCE5KZtWqn+h6yD3i41KG+vTWzf99VomyOVub4tHYBYP3bYzTe+/CPPWzzf7QdpT2XbmClMGZqD1XfikngpWVF+lbx/H4/m6m/qvrWTFXfOqzZt4Z3Vv5OvefnzXt+3urXz4aEM2mJst9YmBgxd1gP7MxNuXc/m2uRd3lh8UYCwx//SMyD/PBikfzwcrH8UKdYfpj2y2ZmD/bhT1V+WF0sP0QmpvLS0q28O9CL4V2U9bhw66ES95B9GAcrc74Y2xdrhQmJ6ZkEhEUz9rt1GtcLP45Ve89hbKjPrFHKNhl4O4aXvi/WJm2K9auEVF79cStvDfNS3YonnS/XH9K4h6y5qREfjOmh7jPXw+/y4lcbuRJaWB9mJka84tcVRyszUjKyOHDhJj9tO17mKGF57Lx6AysTY17qUrjt9OKGbYW/WWYlf7N+G6657bRjsjJvN/n820ot2+Na+a+yvt4frsohoTHM+FGzvmprqa9Xlmzl7SFeqlvxpPPFpkPqe8gCmBgZMGeEDw5W5mTl5BIam8iHq/dojFDaWZjy2YTe2JmbknY/mxuR8by8ZKvGLMrljslAn/eHFYnpp2IxWWuJ6eetvD1YFVOqKqZLhTGNeKYNBvp6fDmpn8a6O05f4aM1hZeEdGhSh3oO1sxeXTIvCvGATnJyco0bSP7hhx/49ddf1SOq/fr149KlS4wZM4YpU6YQFBTEq6++yjvvvMOrr77K2bNnOXToEN27d8fe3p7Lly8zbdo0vv76a0aMGKHx2R2/X67tK2s8/cq7h/kTI8+4uktQNXLMalyXfCSmUU/frHyX3l1S3UWoEh0/mF7dRagSOWZPXxvMf2oOR2vSqdx9pieG/lN46f69+g9fpiZSVM3dQqrf05cGATg8f1J1F6Hc2u/+sbqLoObf+5XqLsJjeWp+AocNG0Z+fj7du3dHR0eHcePG8dJLLwFgYWHB6dOn+fXXX0lJScHZ2Zl33nmnxE6sEEIIIYQQQognX43ckX311Vd59dVX1c//+ecf9d+LFi0qsXyzZs3YtKl6Tw8UQgghhBBCCFE5auSOrBBCCCGEEELUeAVP6fne/4H/F7MWCyGEEEIIIYR4esiIrBBCCCGEEEJUg5p4/9YnhYzICiGEEEIIIYSoUWRHVgghhBBCCCFEjSKnFgshhBBCCCFEdZBTi8tNRmSFEEIIIYQQQtQosiMrhBBCCCGEEKJGkVOLhRBCCCGEEKIaFMh9ZMtNRmSFEEIIIYQQQtQoMiIrhBBCCCGEENVBJnsqNxmRFUIIIYQQQghRo8iOrBBCCCGEEEKIGkVOLRZCCCGEEEKIaiCTPZWfjMgKIYQQQgghhKhRZEdWCCGEEEIIIUSNIqcWCyGEEEKI/2PvvsOjKN4Ajn/TeyOd0HtNQk8IEnrvvQrSERQFC6hgQ1CxAyJKEVR6V5r03gMp9IQkpPfe2++PCxcuuVAvhvB7P8/Do9mb3cybnZud2ZmdFUKUB1m1+JlJR7YYC/+XszTlGr588++zLMs7B2XD4l5556BsaOfkl3cWNK71R9PKOwtl4uLCX8o7C2Wi6ffTyzsLGmeYUN45KBsFL+l8sXT78s6B5lkEvJztphyTl6/dBJBhV945EEJzXtJLhRBCCCGEEEKIl5WMyAohhBBCCCFEuXg5R///CzIiK4QQQgghhBCiQpERWSGEEEIIIYQoDy/nY+b/CRmRFUIIIYQQQghRoUhHVgghhBBCCCFEhSJTi4UQQgghhBCiPMjU4mcmI7JCCCGEEEIIISoU6cgKIYQQQgghhKhQZGqxEEIIIYQQQpSHAnmP7LOSEVkhhBBCCCGEEBWKdGSFEEIIIYQQQlQoMrVYCCGEEEIIIcpBgaxa/MxkRFYIIYQQQgghRIUiI7JCCCGEEEIIUR5kRPaZyYisEEIIIYQQQogKRTqyQgghhBBCCCEqFJlaLIQQQgghhBDlQd4j+8xkRFYIIYQQQgghRIUiI7IaNnmAOwM6NMXMxJDrAREs+eMo98LiSk1vbWHCWyM9qV/djqoOluw/c5PPVh1USVPLyZrJA91pUN0OJztLftt5jt92nSvrUJSm9nFj0CtNMTM2xC8wgi83HuNeROkxATSv68ScoZ7UqmxNTGIa6/69zPaTPippTAz1eb1/W7o0r4uFiSFRCaks23WGQ1fuaDT/I9ycec2zJbZmJvhHxfHl3yfwCgorNX1dB2s+7N+JplUdSErPZOsFH1YcuaA+zhqVWTtlKIEx8Qz4/g/l9iGtm9CveSPq2FujpQW3wmNY+u9ZvILCNRqbOpMGFiuD648S+JgyOGuUahn8/DfVMti/Q1N6eTSkppMN2lpwJziGlTvO4H2n7ON5YOJgd/p3dsbcxIDr/pF8s/YIgaGPiMvShDfHeFK/hj1VHC05cOoGC39RjatX+8bMn96jxL6er/5Adk6exmOY0s+dge0V36XrgRF89ddR7oU/5rtUrwpvD3/wXUrljwOX2X5C9bs0onMzhnRwwcHanKTUDE5cC2Dp9lNkZOUAMLSjC4M8nXG0NgfgXngcq/+5wBnfQI3H+CQuecPaTXD9DkTHarFobgEDe5ZLVtQqjzqjtr01M7u607CyHVWtLVh+6Bw/Hz6v8dim9FWtz7/a8AT1eT0nZj9Un68/WHp93rlFUX2+fGdRfW5soMf0/m3p2KwOVmbG3A6J5ptNx7kRHKWRuKb2cWNQu8K4gp7iOjWk2HXqVFFcfd0b8em47iX2c5v5E9m5RfWDjbkJbwxsR7smNTA21CcsNolFG47gdbf0MvO0RrZyZqJHS2xNTfCPiWPR/hNcuV/68evZWTO/dyeaOjmQlJHJ5ss+/HxCtUyOau3C6NYuOFlaEJGUzC8nL7Lb+6bG8lya/5d6cFoPNwa3bYq5kSG+wREs3naMgMhHx9mithPvDPSktoM1MUlp/H70MlvPFMVZ28Ga6T3daVjFjio2FqzYf45fDmi+nlBnVAtnJrq1xM7UhLsxcSw6dILLIerLoL6ODp/17EwjBztq21TCKzScsX9uU0nTqpoTczq2o2YlK4z09AhPSmbLNT/WXLjyX4QjXhLSkdWgV3u1YlSPFny26iDBEfFMGuDG0ncHM3TuWtIzc9Tuo6+nQ2JKBuv2XmRgB2e1aQz0dYmITeb4ZX+mDW5bliGUMK57S8Z0bcHHvx8kOCqByb3dWPHWIAYu+J30LPUxVbY2Z+kbA9l91o+P1hzAtU5l5o7qREJKOkev+gOgq63Nz7MGkZyeyfu/7iUqMRV7S1OVxoEm9HCux9x+HVi46yheQeGMcHNm5YQB9PtuPRGJKSXSmxjos2rSYC4HhjF86QZq2lrxxbDupGfnsO6Ul0pacyMDFg3rwYWA+9iZm6p81qpWFQ5438YrOJzM7FxefaU5KycOYvAPf3I/LlGjMT5sbG9FGfz8N0UZnDjAjaXvDWbY+48vg+v/uciAjurLYPMGVTh04Q4+d4+RmZXLyB7N+fHdwYz96A9CosoungfG9G3FyN4tWfjLAe6HxzNhsDs/fjCEEbPXlBqXnm5hXHsuMqCz+rgAMjJzGPLWKpVtZdGJHdejFaO7teDTNQcJjoxnUl83ls8ezOAP15b+XbIx58dZA9lz2o/5q/bjWseJuaM7kZCSwVGvuwB0b92AN4e8wsJ1h7h6NwwnWwvmj+uGgZ4un6/7F4DohFSWbjvF/ehEtLWgT9vGfDujH2MW/oV/aKzGY32c9AyoWxP6d4e5i16s5RrLq84w0tMlLCGJw353eaObR5nE9qA+/+T3gwRHJjC5jxs/vz2IQfMfXZ//9MZAdp/x46PVB2hWp7KiDKamc9SrsD7X0Wb5W4r6fO6ve4lKSMXeylTlezT/1a7UrWLDx2sPEpWQQi+3hqyYPZghH68jJjHt+eLq1pIxXVrw8bqHrlOzBjHw48dcp2YWXqfWFl6nRhbGVXidAsjIyqHf/DUq+z58nTI1MmDNu8O5FhDGm8t3kZCSQRUbCxJSMp4rpof1bFyPD3p24LO9R7kSHM6o1s78OmYAfZavJyJJfZlc/epgLgeHMfTXDdS0tmLxwO5k5OSw9qyiTI5o5cycLu1YsOcw3mGRODvZ83m/riRnZHHszj2N5b24/5d68LXOLXm1YwvmbzhIcHQCU7q78cvrg+j/Rell0qmSOcunDmTXBT8++OMAzWpV5oOhnYhPTeeIt6JMGurrEh6fxBGfu8zsVTb1hDq9Gtbjw64d+PTAUa6EhDOqhTO/jRhAr5XriUguWQZ1tLXIysvjryveeNaugZmhQYk06dk5/HHpKrej48jMyaF51cp81rMLmbk5bLjiUyL9y0zrxboMVigvzNTiU6dOYWlpSVzco+9WvchGdG/G+r0XOXb5LvfC4vj014MYG+rT3a1BqftExCbz7V/H2Hv6BslpmWrT3AyM4qdNJzl4/haZ2blllX21RnVuzu8HLnH0qj8B4XF8/PsBjA316dm69JiGeDoTk5jK15uOExgZz87Tfvxz7gavdmuhTNPPozFWZsa8/fMergWEExGXzLWAcI3dnX9g3CvN2X3lBtsu+nEvOp5Fe44Tk5LGcDf1HZs+zRpgqKfLB5sP4B8VxyE/f1Yfv8S4V1qUSPvZkK7s9rrBteCIEp+9v+kAG855cys8hqDYBD7beYT0rGza1a+h0fiKG9G9Gev/KSqDnz0og+6PLoPf/fnoMvjxL/vZdvgad4JjuB+ZwFe/HyE9Ixs35xplFImq4T2b88eeixy/eJd7oXF8/rOiHHbzaFjqPpGxyXy/7hj7Tl4nObX0RmUBBcQnpav8KwsjuzRj3f6LHPW6S0B4HJ+sUZybHm1KPzeDPV2ISUxlycZjBEXEs+uUL/+cu8GY7kXl0aVOZXzvRbLv/E0i4pK5fCuEvedu0KSWgzLNiWsBnPULIjQ6kftRify88wxpWTk413Isk1gfx9MN3p4C3TuA9gtzFVIorzrDLzSKb/aeYu+122TmqG/oPq9RXQrrc6/C+nztgScog4r6fMmm4wQ9qM/P3mBs16L4+rZV1Oezl+/hmn9hfe5fVJ8b6OnQqXldlu44zZU7oYTGJPHr3+cJiU5kiKfL88fVuTm/H3zK61R7Z2KSUvl6c7HrVFfV81ZQUEBccrrKv4eN79aS2OQ0Fvx+kOtBUYTHJXPxdgiBkfHPHZfyd7Rtzs5rN9h6xY97sfEs3HecmNQ0RrZSXyb7OjfASE+XuTsPcDc6jn9v+vPb6UuMdy+Krb9zQ7Z6+bHX7zahCUns87vDliu+TGrXUmP5Vuf/pR4c7dmcNYcvccTbH/+IOOb/dQATA316tSg9zqEezkQnp/Ll9uMERsWz45wff1+8wbiORXFevx/Fd7tPsf9K2dUT6rzWpjk7fW6w5ZofAXHxfP6vogyOaq6+DGbk5PLx/iNsvupLZEqq2jTXI6PZe+MO/rFxhCYls8fvFqfvBdGyqlNZhiJeMhprQmRnZ2vqUBVSZVsLbCxNOe8XrNyWlZPL1duhONetXI45e3ZONhbYWphw7sbDMeXhdTcU59qlx+Rcy5HzN4NVtp27HkzD6vboFrZaO7jUxjsgnPdHdOTfr6ew7eNXmdrHTfm5JujpaNPIyZ4zd1TzcvZOMK7V1effpZojVwLDyHrojvuZO8HYW5jiZGWu3DbCzRkbMxNWljJ9sGRedNDX1SE5Q31HURMelMELxcrgtduhNNVwGdTT1UFfT4eUtCyNHledynYW2FiZctEnSLktKyeXa7dCaVrv+eMy0Ndlx0+T2b1sCt+8O4B6Neye+5jFOdkU1g/Xi9UPd0JxrlN6DE1rO6rsA3DOL4hG1e3R0VF8V67dDaN+VVuaFDbG7CuZ4elau9TpctpaWnRrVR9jAz28A0p2qP6fvUh1hqY52VhgY2FSrAzmcfVuKC61HlOf3yhWBm8E06iGPbqFZbCDq6I+f29kRw4umcLWT15lSl835ec62tro6miXmOmQlZOL6yPK/5PGVep16hnievg6BYr6Ye8XE9m/eBI/vt6f+lVtVfbp4Fpb8cjNpF4c/noqGz8czfAOz985f0BPR5vGjvac8VfN65mAYJpVVR+faxVHLt9XLZOn/YOxNzfFyVJRJvV1dcjOVb0xnpmTS1MnB41ehx/2/1IPOlkXlsnbqmXySkAoLjUfUSZrOHLuVrG651YwjarZl9k5eRJ62ooyePpesTJ4L5hmVTTXtmhob0uzKpW5+Igp80IU98zfjN69ezN79mw++ugjateuTffu3bl16xbDhg2jSpUq1KlTh4kTJxIVVTTCdv36dfr160fVqlWpUqUKHh4enDx5kuDgYPr27QtA7dq1sbS0ZPr06YDibuiPP/6Iq6srDg4OtG3bls2bN6vkJSIigsmTJ1OzZk0cHR1p164dJ0+eVH7+3XffUbduXZycnJg6dSpffvklTZs2fdbQ1bK2MAYoMZoTn5yOtYWJRn/Xf8XavDCm5JIx2RR+pn4/kxJ3reNT0tHT0cHS1AgAJ1sLurSoi66ONrOW7eLnPWcZ3N6ZmQM1N1XG0tgIXR1t4lJV8xKXmo6Nmfr825iZqE3/4DNQPA83vYsb72/cT37Bk80HebN7W9Kzczh2o+ymbCnLoJrzpekyOG2IBxlZOZzyCtDocdV5kPfi362EpHQqPWdc9yPiWbTyIO9/u4sFS/eSlZPHyk9GUMXB8rmOW9yDc1Pie5GcjrV56TFYm5uoPZ+6ukXfpX8v3Wb5ztP89t4wzv8yi71fT8Y/NJaftp1S2a+2kw0nl83k7C+zmDe2M+8s30NA2H8/rfhF9iLVGZqmrM9TiuU1OV1ZPtXuZ1GyDMYlp6P7UH1e5eH6fOkuVhSrz9OzcvAOCGdi7zbYWpqgraVFzzYNaFrLEZvn/A5r9DqVrHqdCo5M4NP1h3h7xR4+WL2frNw81rw7nKp2lsp9nGwsGOrpQmhsEjOW7mDj0au8MaCdxjqzVg/KZJqaMmmqPj5bUzVlsnB/W1PF3/u0fzCDmjWmSWV7AJpUtmdI8ybo6+pgZWykkbwX9/9SDz6oK+JSSraDSqtHQPGsdYnvZ7G2U3mwMjZCV1ub2GJlMDat9DL4NE6+MQm/999gx4RRbLjizSav/69pxQAUvED/KpjnekZ2y5YtjBs3jv3795OYmEivXr0YO3Ysn3/+OTk5OXz++eeMHDmSw4cPo62tzeTJk2nSpAlHjhxBV1eX69evY2hoSJUqVVi/fj2vvvoq58+fx8rKCkNDQwAWLlzI7t27+eabb6hTpw6XLl1i1qxZWFpa0r17d9LS0ujduze2trb8+eefVK5cGV9fX2Uet2/fzldffcWSJUto27Yte/bs4YcffsDCwuK5/nDd3Rswb3wX5c9vf7cLUExTfJiWFpRTu+Wp9WzdgA9Hd1b+/OayXYC6mLQeW9ZLi/nBsbS1tIhPSefzPw6TX1DAzfvRWJoaMWeoJz9sP6V+52dUIi9aWo88J6V9VEABejo6fDOqN9/sPUVYQvIT/f4xHs0Y1qYpk37bTlqW5mYudHdvwNzXisrg7G93KfJZLDgtNFsGh3drxsCOTZn51XbSMjU/E6ObRwPen9RV+fM7X+8ESovh+QLzuxuB392iu/G+d8JZ/+VYhnZvxvfrjj3zcXu0acAHY4vOzVs/7VL8T/EgtB4fgbrv38PHal6vChP7uPHlX0fwuxdJVTtL3hnRgan927Jy91nlfsGR8Yz67E/MjAzo1KIun07owdQlWwh4zCIr/4/Ku87QhJ6tG/DBmKL6fNaD+rxE/fDo2KBkfEVFsKDwZy0SUtJZuF5Rn9+6H42FiRFzhnnyQ2FHYsGaAywY140DX08hNy+fW/ejOXjxNg2qPd0MiJ6tG/DhqIeuU8sL43qW61TxDQ/iKvzEJzACn8Ci+sE7IJyNH41hRAdXlmw5DiiuZTeCo1i26wwAt0NiqGZnxTBPFzYf936a0B6d1+JVx1OWSS3ldsUnP584j42pMRsnDUcLLeLS0tnlfYPJ7VqRV5CvkTz/v9SDvVo0YP7wojI5c+Wuwqw9f9tJed5ewIakltYTnLgnMGr9Foz19XB1cuSdTq8QmpjMbr+yX3RMvByeqyNbrVo1vvjiCwC++OILmjRpwqeffqr8fOXKldSoUYOrV6/SokULQkJCmDlzJvXq1QOgVq1ayrRWVlYA2NraYm1tDUBaWhrLly9nx44dtG2rWOSoRo0aXLlyhVWrVtG9e3e2bdtGdHQ0hw4dUu5Xs2ZN5XF/+eUXRo0axauvvgrA7NmzOXXqFP7+RYs5PItTVwO4HhCp/FlfTwdQ3L2Oji96HsDKzJj45OdbyOK/csI7AL+HLtp6uoriYW1uQlTCwzEZlbij+rC45DRsit3hr2RmTE5eHkmpiqm1sUlp5Oblq4xOBEbEY2Sgh6WpEYmPeKbxSSWmZ5Cbl1/iDqi1iVGJu9UPxKaklbjDaG1adHfV1tyEOvbWLBzajYVDuwGKhoy2thbei2Yxfe1Ozt69r9x3jEcz3uzelmlrduIbqtnnf4uXQb3SyqC55srg8G7NmDrYg7e/3cGNe5GP3+EZnL4SwA1/NXFZGhMdX7SohJWFscafZ80vKODmvSiqOlg913FOXgvAL/Ch+kG36Nw8/F2q9Jj6IS45rcRIhZWZEbm5eSQWPs88fUBb/r14i92n/AAICIvFyECPj8Z1ZdXf58jLV3zHcvPyCY1OBOBmcBSNatgzqmsL5UIo4sWoMzTlhHcAvg/V5/ql1OeVzI1KjHY9LC4pTTnqqdzHzJjcvDyS0p68Pg+NSWLKN1sx1NfF1MiA2KQ0Fk/uRXhc0lPHpbHrlJq4Hr5OFZdfUMDN4CiqPTQiG5uUVmJ15MDIeEZWavbEMT1KwoMyWayMVTIxKjFK+0BMaskyWclE8XNsYTnOys3jw92H+PjvI1ibGhOTksawlk1JzcwiIV0zC1X9v9SDx/0C8A0u+V2zMTchKvGhMmlqVGKU9mGxyeq/azkPfdfKQ0J6Brn5+diYFKvnjI1KjNI+i9AkxQ2+OzFxWJsY80Z7t/+/jqy8R/aZPVdH1tXVVfn/3t7enD17Fienkg9pBwYG0qJFC15//XXefPNNNm7ciKenJ/369VN2atW5ffs2mZmZDBkypOjuG5CTk0O1atUA8PHxoXHjxspObHF37txRdmIfaNGixXN3ZNMzc0jPTFTZFpuYSpvG1bkZqOiw6Ovp4FrfiaWbTqo5wosnPSuH9BjVRkVMUhpujaopF+3Q19WhWR0nfnzEqKnPvQg6uNRW2ebWqDo3g6PIzVfc6fUOCKdHq/oqI9bV7C3JyMrRSCcWICcvnxthUbStW51/fe8qt7vXrc4hv7tq9/G+H8Hsnu0Knx/KK0xfjaikVMISktHV1qb/d+tV9hnp7oJ73Wq8uf5vwh8acRn3SnNmdnVn2tpdZfLandLKYOsmZVMGR/ZozpRBbXn7251l+todtXElpNK6aXVu3lONa9kGzX+36lSzxf9+zHMdIz0rh/TCxtIDsYmptGlUnRtBRd8l17pO/LS19Bh8AyLo0Ez1u9SmUXVuBEeRl6f4Lhka6CkbaQ/k5+fzuMuitpaW8iaBUCjvOkOT1NXnsUlptClWn7s+SX3uWqwMNlSU49zCMujtH06P1qr1efVS6vPM7Fwys3MxMzbAvXF1ftx++rnjiklKw62hmuvUjqe8TjVUvU6pU9fJhjuhRfXDtYBwathXUklTzc6SiHjNnNecvHyuR0ThUbs6B28UlUGPWtX596b6MnktNIJ3uqiWSY/a1YhKTiUsUTVfufn5RCUrOlu9m9Tn+J1Ajc3g+X+pB9OzckjPUlMm61fj+v2iOJvXduL73Y8ok0ERdGxarEzWr86N+48uk2UtJ7+wDNaqzoFbRWWubc3q/HtLfRl8VtpaWujryHVJPLnn6siamBTdIcvPz6dbt24sXLiwRDpbW8XiCPPmzWPYsGEcOnSIo0eP8tVXX/Hdd98xduxYtcfPL/zibty4kapVq6pmvPCO15NMt3i4E1yWNh28yvh+rQmKiOd+ZAIT+rUhIzOHg+dvKdN8MkXxzspPfj2g3Fa3muLvY2KkT35BAXWr2ZKbm0dguGLVQ10dbWo6KTrq+nq6WFsYU7eaLRmZOco7i2VlwxEvJvZsTVBkAsFRCUzq1YaMrBz2XyyK6bPxivfsLfhd8Y7ObSd8GN7BlXeGebL9pC8utSvT170R81btU+6z9YQ3wzq48O7wDmw+5k1la3Om9XVn6wnNTcUCWHfKiy+H98A3JJKrweEMa+OMnbkJm88rnsF4q4cHTas6MPG37QDsvXaL17u48cWw7qw8coEaNlZM6tBK+T7H3Px8/KNU777HpaaTnZunsv219i2Y1d2D9zcfIDgmQXl3PDM3l9QymI77wKaDV3mtX2uCI+K5H5HAhP5tSM/M4eC5ovP1cWEZ/FRdGTTUJz+/ZBkc06sl04Z48PEv+7kfmUClwhH3rOxc0jLKfqG3zfu9GD+gDUHh8YREJDB+oBvpWTn8e6boru2CwvfBfrbiobiqK+IyNjIgv0Dxc05uHkFhirgmDHbn+t1wQiITMTHSZ1iP5tSpZsOSNYc1HsPGw1d5rXdrgiIV9cPEPorv0oELRefm0wmKGD5eo4hh+wlvhnVyZfbwDuw46YNLncr09WjMh78WfZdOed9jVNfm3AyKwi8wgqp2lkwb4MFpn0Blw27m4Hac9gkkKj5FuUJoi/pVeeunnRqP80mkpcOD9Tzy8yE8Cm7eBQtzKHxkr9yUV52hp6NNbTtFPW+gq4uNmQkNHG1Jz87m/lOOWpZmw2EvJvRS1Of3oxKY2FtNGXxNUZ9/vFZRn28/4cPwjq7MKazPXetUpm/bRnzwUH2+7YQ3wzq68M7wDmwprM+n9nNn60NTa90bVUdLW4ugiHiq2lkya8grBEcl8PfZ688f18PXqegEJvV8guvUycLr1FBPtp966Dq1uiiuKb3d8A2M4H50IiaG+ozs6EqdKjYs2nhEmeavI16sfW84E3u25t/Lt6lf1Y4RnZqxvHCqsSb8ftaLrwb1wCcsEq/74Yxo5YytmQmbLinK5OwuHjR1cuC1dYoy+Y/PLWZ4urF4QHd+OXmBGtZWTG7XiuUnit43WsPaEmcnR7xDIzA3MmC8ewvq2lkzd+dBtXnQlP+XevCvE15M6taaoKgEgmMSmNytDelZOey7UhTnwtGKMvnRX4q/+dYzPox4xZV3B3qy7awvrjUr0791I95fXxSnro42tR0K24O6utiYm1DfyZb0rGxCYjVTT6iz9oIXX/fvgU94JF4h4Yxo7oydmQkbC59nndPBA+fKDozbsF25T22bSujr6GBlZISxvj4N7RXX45tRihtBY1u6EpKYRGBcAqB4r+xEtxb/d6/eEc9HY++RdXFxYefOnVStWhU9Pb1S09WuXZvatWszbdo0Zs+ezR9//MHYsWPR19cHIC+vaJW9+vXrY2BgQEhICJ6enqX+3i1bthAXF6d2VLZevXp4eXkxZswY5TYvL68S6TRh/b5LGOjr8t6rnRQv+r4XyRtLtqu859K+klmJ/f76XLUj375ZbcJjkhjwzmoAbK1MVdJUtbdkUCcXrtwMYfqXW8sklgfWHbyMoZ4u74/shLmxAX6Bkbz+4w6V96A5FIspPC6ZN5buZM4wz8JXHKTx9ebjKu/mi0pIZcaPO5g91JONH40hLjmN3Weus2qfZlf0POBzB0tjQ6Z2ao2tuQl3I+OYtnaX8n2QtmYmVK1U9Lx0amY2k1Zt56P+ndjyxiiSM7L4/ZRXifdBPs5Idxf0dHX4bnRvle27Ll/nw61lN5Xzj72KMvjuQ2Xwza+LlUHrkmXwz4XFymBzRRkcOEdRBgd3VsSzaGYflXT/nLrO57+VbcMH4M+/FXG981pnzEwMuREQwVuLtqnGZWNeYr/1X6rOxnilRW0iYpIY9KbivbFmxga8P6kb1pbGpKZncycomumfbeZGgOanTa87oIjh/VGdMDMxxO9eJDO/2676XSp2bsJjk5n1405mD/dkSAdnYhLT+GbjMeW7EwFW/3OegoICpg1oi52VGYmpGZzyDuDnnUUNaWtzEz6f1BNrc2NSM7K5GxrDmz/uKLES6H/l+m0Y91bRDcZlaxX/BvQoYPG8csmSUnnVGbbmpmx/q+g6Vc3GkuFuzlwMCOG1X7dpJLZ1By9joK/L3FGdMCusz2f88Pj6/M0H9bmnoj5fsum48h2yUFif/7CD2cM82TBfUZ/vOXOdVXuL6nNTIwNmDvLAztKU5PQsjnjd5eddZ5Sjus8V17+XMdQvdp366QmuU8t2Mmdo6dcpM2MDPhrdRfm9uR0SzeRvtnI9qOgxkRvBUcxZ8TczB3gwqVcbIuNTWLHnLFs0eFN2/3VFmZzevjW2ZibcjY5j6l+7CC98h6ytqQnVrB4qk1nZTFy/nfm9O7FtyiiSMrNYe85L+Q5ZAG0tbca3bU5Nayty8/O5EBjCyFWbS4zYatr/Sz249shlDPR0mTdEUSZ9gyOZvqJYmbRSjTMsPpkZK3fy7kBPhrVTlMmvdhxXvkMWwM7ClC3vPVRP2Foy1MOZS3dDmLRMM/WEOvtuFpZBj9bYmZpwJyaOyZt2EZ5cVAarPlQGAX4bPoAqlkXbdk9S5LveF98DitHXdzu9gpOFOXn5+dxPTOSbY6fZ+P/YkX3xHoGuMLQSExOf6c/Xu3dvGjVqxJIlSwDFysGvvPIKbm5uvPXWW9jY2BAUFMTOnTtZuHAhurq6zJ8/n/79+1OtWjViYmJ48803adGiBUuXLiU8PJzGjRvz008/0bNnTwwNDTE1NWXhwoWsXr2azz77DA8PD1JTU7l8+TLa2tqMHz+etLQ0PDw8cHBwYMGCBVSuXJkbN25gampK+/bt2b59OzNmzFAu9vTPP//w7bffYmlpiY9PyS9L1zdXP99f9AWVa/jyzb/PsizvHJQN04iXs0bTznn54soxefm+VwAXF/5S3lkoE02/n17eWdA4w4TyzkHZKHjB3i+sKenlPOOgLJiGvXx1O7y89XuG5t8w90K4NHNCeWfhmbls/K28s6DkPXJyeWfhqWjsUuHo6MjBgwfR1tZm8ODBuLm58c4776Cvr4+BgQE6OjokJiYyffp0WrVqxZgxY2jVqpVysajKlSszb948Fi5cSN26dXn33XcB+PDDD5k7dy7Lli3Dzc2NgQMHsmfPHqpXrw4opjfv3bsXR0dHRowYgbu7O4sXL1ZOJx48eDDvvvsun376Ke3bt+fGjRtMmDBBuSqyEEIIIYQQQoiK5ZlHZCuy0aNHk5ubW+J9tCAjshWJjMhWLDIiW3HIiGzFISOyFYuMyFYcL2v9LiOyLx6XDS/QiOyoijUiq7FnZF9U6enprF69mi5duqCrq8uePXvYt28f69evf/zOQgghhBBCCCFeOC99R1ZLS4vDhw/z3XffkZmZSa1atVi5ciV9+/Yt76wJIYQQQggh/p+9nJMa/hMvfUfWyMiI3bt3l3c2hBBCCCGEEEJoyEv6FIoQQgghhBBCiJfVSz8iK4QQQgghhBAvpIKXc2Gx/4KMyAohhBBCCCGEqFCkIyuEEEIIIYQQokKRqcVCCCGEEEIIUQ60ZNXiZyYjskIIIYQQQgghKhTpyAohhBBCCCGEqFBkarEQQgghhBBClAeZWvzMZERWCCGEEEIIIUSFIh1ZIYQQQgghhBAVinRkhRBCCCGEEEJUKNKRFUIIIYQQQghRochiT0IIIYQQQghRDuQ9ss9ORmSFEEIIIYQQQlQoMiJbjPWl2PLOQpmI7GBb3lnQuNT6OeWdhTJhkKxX3lkoE3kGWuWdBfGEmn4/vbyzUCZ8315R3lnQuF7dhpV3FspEgcHLWQ8Gvv/yjR+YXDIo7yyUiXSHl7OJnNMxubyzIITGvJzfUiGEEEIIIYR40RXIjf5n9fLdGhRCCCGEEEIIoRGrVq3C2dkZe3t7PD09OXv2bKlpT506xciRI6lfvz6Ojo60bduWP/74o0zyJR1ZIYQQQgghhBAl7Nixg7lz5zJnzhxOnjxJ69atGTp0KCEhIWrTX7x4kcaNG7Nu3TrOnTvHxIkTeeutt9i6davG8yZTi4UQQgghhBCiPLzgqxYvX76cUaNGMW7cOACWLFnCkSNHWLNmDR9//HGJ9HPmzFH5eeLEiZw6dYo9e/YwdOhQjeZNRmSFEEIIIYQQQqjIzs7m2rVrdOrUSWV7p06duHDhwhMfJyUlBUtLSw3nTkZkhRBCCCGEEKJ8vMAjsnFxceTl5WFrq/r2E1tbW6Kjo5/oGAcOHODEiRMcPHhQ4/mTEVkhhBBCCCGEEGppaamurFxQUFBimzrnz59n8uTJfPXVV7Ro0ULj+ZKOrBBCCCGEEEIIFdbW1ujo6JQYfY2NjS0xSlvcuXPnGDp0KPPmzWPixIllkj/pyAohhBBCCCFEOdAqeHH+Faevr4+rqyvHjh1T2X7s2DHatGlTakxnzpxh6NChvPfee7z++uua/pMpSUdWCCGEEEIIIUQJM2bMYMOGDaxfv57bt2/z/vvvExkZyWuvvQbAp59+Sr9+/ZTpT506xdChQ3nttdcYNmwYUVFRREVFERsbq/G8yWJPQgghhBBCCCFKGDRoEPHx8SxZsoSoqCgaNmzIli1bqFatGgCRkZEEBgYq02/YsIH09HSWLl3K0qVLldurVq2Kr6+vRvMmHVkhhBBCCCGEKA8v8KrFD0yaNIlJkyap/WzFihUlfi6+razI1GIhhBBCCCGEEBWKdGSFEEIIIYQQQlQoMrVYCCGEEEIIIcpDBZha/KKSEVkhhBBCCCGEEBWKjMgKIYQQQgghRDlQ9/5W8WRkRFYIIYQQQgghRIUiHVkhhBBCCCGEEBWKTC0uY6NndKbn0FaYmhtx2yeE5Qv3cN8/+on2bdy8Ol/9PomQwFim9/+xjHNaZGpvNwZ7NMXM2BC/oAgWbz7GvYi4R+7Toq4Tswd7UtvRmpikNNYdusy2Uz5q0/ZoWZ/FE3px0vces1bsVvnMxtyENwe0o13jGhgb6hMWm8SiTUe4cjdMY/EBjG3gytSmrbE1MuVuYiyfXjjKpahQtWndHKoysXFLXG0dMdM3ICg5gTXXr7DlrupLnV9t2IxxDZtTxdScsLQUlnmfY4f/dY3mu7ipvd0Y1K7oXH256fHnqnldJ+YM8aTWg3P172W2l3Kuuresz+KJvTjle49ZPxedK20tLab2caNX64bYWJgQm5TG/ku3WPnPOfLyn36OzLQebgx2b4q5kSG+9yNYvO0YAZGPKXO1nXhngCe1HRRx/H70MlvPqsbR2bkOM3q1paqNBSGxSSzbe4ajvgEqv3d6D3eVfWKT0+i84FflzzN6utPVtR4Olmbk5OVxMzSa5fvO4h0U8ULGtG/BBJwqWZQ49snr93jjt93oamszs3dbPBrWoKq1JamZ2VzyD+HHv08TmZjyyPwVN8LNmdc8W2JrZoJ/VBxf/n0Cr6DSv6t1Haz5sH8nmlZ1ICk9k60XfFhx5ILatM1rVGbtlKEExsQz4Ps/lNtr21szs6s7DSvbUdXaguWHzvHz4fNPle+ycskb1m6C63cgOlaLRXMLGNizvHP1aGOmd6Ln4JaKa5RvKMsX/U1wQOnXqKYtavDarG5UqWGDgaEe0RGJHNhxme3rzqik6z/anT7DWmPnaElyUjrnj91k9ff/kpmRXdYhATBmsie9BrbA1MyQW9fDWP71PoLvxZSavmnz6kyY0Zkq1awVcUUmcWC3F9v+PKc2fYduTZj3xWAunLrDgtkbyyoMpVG1WjCxvjt2hmbcTY5hkfdBLseGqE1b28yGj5v1pI65DWZ6hkRnpLA39DpLr58gpyBfma5P1SZMru9ODVNrUnOzOBsVyFc+h4jNSivzeB42frQHfXu4YGZqwI3bEfzw8yGC7pdeV77Sti79e7lSt7Y9+nq6BIXE8sem85y94K9M06FdfUYObYOToyW6utqEhiWwdddlDh4pu2vy5P7uDPRUXI+v34vg6z+Pci/8MdfjelV4a4QntZysiU1MZf3+y+w4XlTn6+ho81qv1vT2aIStlSnBkQks23qKc35BKr93Sn/V61hcUho93l6p0fhG1GzFhDptsTU0wz8lmi99D3Al7v5j96tuUoltHaaipaVFy38WKbd3cWzI8JotaWjhgIG2LgEpMay8c4pjkbc1mu8KoUCrvHNQYWmsI3vq1Cn69u1LQEAA1tbWz3yc6dOnEx8fz+bNmzWSr8WLF7Nnzx7OnVN/MSpLQye2Z9D4dnz3wTZCA2MZ9XonFq2awORe35GR/uiLuam5IXMWD+Xa+QCs7Us2SsvK+K4tGdu5BR+vP0hQVAJTernxyxuDGPDp76Rn5ajdp7K1OUtfH8juc3589PsBXGtXZt6ITiSkpHPkmr9KWidrC94a+Aped0t2Gk2NDFj7znCuBYTxxs+7SEjNoIqNBfEpGRqNsU/NBnzs1pmPzh7iclQoYxs2Y123IXTZsZrwtJIN+RZ2TtxOiGGl70WiMlLxdKrJYo/uZOXlsvveTQDGNHBlbktP5p45yNWYcFxtHPmyXQ+SsjI5EhJQ4piaMK5bS8Z0UZyr4KgEJvdyY8Wbgxj4yWPO1YyB7D7rx0drFedq7shOJKSmc/RqsXNlY8Fbg9Sfq/HdWzLM05WP1x3kblgsdavY8Nm47mTn5LFqv/qOSWle69ySVzu0YP6GgwRHJzCluxu/TB9E/0Wlx+FUyZzlUway64IfH/x5gGY1K/PB0E7Ep6ZzxEcRh3MNR74e15sVB85xxMefzs51WDK+D+N/2oxvcKTyWIFR8UxctlX5c36xjnhQdAKLth0lLD4ZQz1dxng24+dpA+m78HfiU9NfuJhGf7sRbe2ii6KtuQkb54zm32t3ATDU16VBFTtWHbrIrbAYzAz1mdPfk5+nDWTo13888Y2IHs71mNuvAwt3HcUrKJwRbs6snDCAft+tJ0JNh9jEQJ9VkwZzOTCM4Us3UNPWii+GdSc9O4d1p7xU0pobGbBoWA8uBNzHztxU5TMjPV3CEpI47HeXN7p5PFFe/yvpGVC3JvTvDnMXvfgPPQ197RUGverBt/O3ExoUy+ipHVm0cjyT+v1Q6jUqIz2b3RvOEXQ3iszMHBq7VuPNBf3Jyszhn80XAejQy5mJb3fnx0924ecVhEOVSrz96UD09fX4/pOdZR7XsFc9GDzanW8/3U3I/VjGTPRk8bKxTByy7JFx7dp0gaCAaEVcLlWZNa8PmZk5/LPtskpaBydLJr3ZFV+v4DKPBaBXlUZ86NqdT6/u50psCKNqt+C3dqPodXAFERnJJdLn5OexM9ibm4lRJOdk0sDCnoUteqOjpc0S3yMANLeuwpLW/fnK5zCHw25jbWjCJ8168m2bgYw7+ed/EhfAyCGtGT6wFYu/30dIaDzjRrXl2y+GM2bKKjJKuenh2rQqXt73WbX+FCkpmXTp2IiFHw3grbmb8LmuuF4lpWTwx6az3A+JJzc3H/c2tXnvrZ4kJmVw4fI9jcfxas9WjO7egk9XH+R+ZDwT+7mx7J3BDPlgLemZpVyPbcz54e2B7Dnlx4Lf9uNa14n3x3QiISWDY1cU9fX0gR70atuQL34/RFBEPG6Nq/P1zH5MXLSRO/eLbswERcQz7astyp/zCjRb//Rwasy8pj343HsvXnH3GVmrFSvdx9D3yHIiMpJK3U9PS4dvWg3hclwwrWxqqHzWyqY6F2IC+enGUZJyMuhTpSk/tRnO+NO/P1EHWQh4jqnFvXv35t1339VkXl46A15ty9ZVJzhz6DrB/lF8O28rRiYGdOjj+th93/p8MId3e3HTW/0d17IyqlNz1v57iSPX/AmIiGPB+gMYG+rTs1WDUvcZ8oozMUmpfLXlOIGR8ew848c/52/wapcWKul0tbVZPKEny/ecJTS2ZMU3vmtLYpPSmL/uINeDowiPS+bi7RACI+M1GuOkJi3ZdtePTXd88E+K5+PzR4hOT2NMg2Zq0y/3Oc83Xqe5HB1GSEoSf966xoHgO/SsUU+ZZlDtxmy87cOeezcJSUni78BbbLztzXTnNhrN+8NGdWrO7wcvcfSqPwHhcXy87snP1ddPcK4WPeJcudSqzEnfe5z0vUdEfDInfe5xwuceTWs6PHUco9s3Z82RSxzx8cc/Mo75Gw5gYqBPrxalxzHUw5no5FS+3HGcwKh4dpz34++LNxjXqSiOMZ7NuOQfwqpDFwmMimfVoYtc9g9ltKfqec7LzycuJV35LyFN9cbJ3iu3uHg3hLC4JAIi4/hm10lMDQ1oUMX2hYwpIS1DJZ52jWqSmpXFoWt3AEjNzGbaih0cvHqH4OgE/O5H8fmWw9R2sKamfaVS81fcuFeas/vKDbZd9ONedDyL9hwnJiWN4W7OatP3adYAQz1dPth8AP+oOA75+bP6+CXGvdKiRNrPhnRlt9cNrgWXHPX2C43im72n2HvtNpk56huI5cXTDd6eAt07gHYFeHBn4Ji2bFlzkjOHbxDsH803H23HyMSAjr1cSt3H/2Y4Jw74EhwQTVRYAkf3enPlzF2aNK+hTNPIpRq3fEI48s81osIT8b54j8N/X6W+c5X/ICoYMLINW9ad4fSxmwQHxLDk010YGevTsXvTUvfxvxXBiUPXCb4XQ1R4Ikf3+3L5fABNXKuppNPR0WbewsH8vuIoEeEJZR0KAK/Vc2NnkDdbAq8SkBLL59cOEpORwqjaLdWmv5+WwM5gH24lRRGensTRiDv8fd+PljZFsbhaVyEyPZnf714gND0R7/gw/vC/hHMlp/8kpgeGDmjJX1vPc/LMHQKDY1n07T6MjfTp0qFhqfssXXmUDVsvcOtOJGERiazbcJY7/lG0c6+rTHPV+z6nz/lzPzSe8MhEtu++wr3AGJyblE0ZHNm1Gev2XeTYlbsEhMXx6aqDGBvq071N6XX+oA4uxCSm8s2GYwRFxLPrpC//nL3BmO5FdWKvtg1Zv+8SZ3wCCYtJYvtxH876BDKmu+q5z8vLJy45XfkvUcMDAONru7Pr/jW2BXtxLzWWL3z2E5OZwoia6svgA7Mbd+FOUhQHw2+U+Gyx7wFW3T2Nb2IY99Pi+fn2Ca4nRtDZsfS/mRDFVYBLbcXkUMWKSrbmeJ25q9yWnZWL3+VAGhW7MBbXe0QbrGxM2fTLsbLOpgonawtsLUw4d7PoLnNWTh5e/qG41Kpc6n4uNR1V9gE4eyOYhtXt0X2oNTejvwfh8cn8faFkhQbQ0aW2YnrsxF4c+Woqm+aNZrhn6Q2qZ6GnrU1TawdOhgWpbD8VHkgLuye/gJvq6ZOUlaX8WV9Hh6y8XJU0mbk5uNg4oqul+a+Zk00p5+puKM61Sz9XzrUcOV/sXJ0r5VxFxCXzz3n15+qqfzgt61Whhr0VADUdKtGqXlVO+wU+XRwPytwt1TiuBITiUuMRcdRwVNkH4OytYBpVLYpDfZqgEsd1srbg0CeT2Td/Al+92gsn69JnQOjqaDO4bVNSMrK4Fap+muKLENPDBrZpwr7Lt8jMyS01jYmhPgDJ6VmlpnmYno42jZzsOXOnWF7uBONaXX1eXKo5ciUwjKzcPOW2M3eCsbcwxcnKXLlthJszNmYmrCxlyrHQDAcnKyrZmuF1tmgmRnZWLn5Xgmj4mGvUw2o3cKShazV8Lhd9969fDaZ2fUcaFHZcbR0scPNswKVTdzQXQCkcnCyxtjHjyoWimTDZWbn4Xg2m0VN0pGvXc6CRc9USo67jX+9EVEQih/d6ayzPj6KnpU1jS0dOR6mOIp6Jukcz6yeLp5qJFa841OZSTFEsXrEh2BqZ0dFR0fmz0jeid9XGnIjwL+0wGufoYIF1JVMuewUpt2Vn5+LtF0KThk/XoTY20iclNbPUz5u7VKNqFSt8/DQ/OOBka4GNpSkX/B6u83O5ejsU5zql181Nazty4bpq+TrvF0SjGvbo6CjqfD1dHbKK1d1ZObm41C12HbO1YO+3U9j11US+mNoLJ1vNzeTT09KhkWVlzkarzi47Ex2Aa6Wqpe7X3r4uHRzq8YXv/if+XSa6+iRll34eX1oFL9C/CuaZphZPnz6dM2fOcObMGX777TcAli9fDoCfnx+fffYZN27coH79+vzwww+4uroCEB8fz7vvvsu5c+eIj4+nRo0azJw5kzFjxpT6uw4fPsy3337LjRs30NLSonnz5ixevJj69esr00RERLBgwQIOHz5MZmYmtWvXZtGiRbRv316ZZvv27Xz++efExsbSvn17li5d+lxToB/HysYMgIS4VJXtiXGpWNuZq9sFgBp17Rn9emfeHrmixBTHsmZjYQxAfLLqdMm45HTsLE3V7QKAtbkJF26pTgOJT0lHT0cHS1MjYpPTcGtYje7N6zF8UelTlpxsLBja3oW/jnqx9uAl6lex5f1hHQHYfEIzjQYrA2N0tbWJzVB9BigmIx2PyiZPdIxOVWvjUbk6g//5S7ntRFggw+s5cyD4Dj6xkTS1dmB4PWf0dXSoZGhEdIZmnzmyNld/ruJTnuFcJZc8V91a1GPEI87V7/9ewsRQj20LxpFXkI+ejg6r9l9g60n1z9qWxsZMEUdcSrE4UtOxsyg9DhszEy6kqsYRV6zM2ZiZEFds6m9cajo2hX87AN/gSBZs+JfAqHgqmRkzuVtr1s8azqAv15OUXnQxbd+oJl+N64Whnh6xyWlMW7G91GnF5R3Tw9zrV6OKjQU7zvuV+nt1dbSZ09+T434BRCellpruYZbGRujqaKvNi5uZ+rzYmJkQlZRSIv2Dz8ISkqnrYM30Lm6MWr6JfA1PjROqrGwUZbH4NSohLhWbR1yjHvjj0LtYWJmgo6PNX78cY9/WS8rPThzwxdzCmCVrJ6GFFrp6Ohz++yqrvz+o2SDUqGStPq7E+DSsbc0eu/+f/7yNhZWxIq5VJ9i744rys+ZtauHZtTGvj9bss4ePorxmFXtuNTYrDXfD0usTgE0dx9PY0hEDHV023/PiW7+jys+uxYcx+8IOvm09EAMdXfS0dTgdFcD7l3Y/4oiaVclKcc2NT1SNLSExDRvrx5+rBwb0aYatjRn/HlV9/tXEWJ9tf7yOvp4OefkF/PDzIS48dMNFUx5cj+OKX4+T07G1esT12MKESzdKXo91dRV1flxSGuf9ghnZtTlet0O5H5VAq4bV6Ni8jsrjI9fvRfDpmoMERcRTydyYCX3asPqDEQz/aB1Jac/fKbQspQzGZaXhbqA+PhsDUz5z7cebFzeTnvtkz8WPrNkKB0Nz/g75b24SiZfDM3Vkv/zySwICAqhbty4LFiwA4NatWwB8+umnfPLJJzg4ODB37lymTJnChQsX0NLSIjMzExcXF2bNmoW5uTnHjx/n7bffpmrVqnh6eqr9XWlpaUybNo0mTZqQkZHBN998w4gRI7hw4QL6+vqkpaXRu3dvbG1t+fPPP6lcuTK+vqqL8Ny/f58dO3bw559/kp6ezoQJE/j888/54YcfniV8tTr2ceGNTwYof/542noASrTFtLRKbiukp6fD3G9HsGrJPqLCyn7KUs9WDfhoZGflz2+u2AVAQbFbMlqPyPMDasJUHsvSxJDPxnZn3tr9pGSUPuKjraXFjftRLN2tWDTkdmgM1eysGObporGObKn5BQqeoOHc0s6Jnzz78Mn5I3jHFj1n+dO1c9gZmbCjz2i00CI2I43t/teZ7txGI8+q9GzVgA9HPXSuft5VGEexc8UTnCt1wVN0rj59tTsfrNlPyiNG57q1rEfvNo34YO0+7oXHUb+KHe8M60BYbBK7z5a+mEavFg2YP6wojpm/ai4OZZl7+IPiaYod98zNoKIfIsAnKIJ98yfQr3Uj/jhe9NzmJf8Qhi35E0sTIwa7N+Xr8b159YfNxCanvXAxPWyQe1P8giO5HaZ+9FhHW4tFY3pibmTArFVP34B9mvoNSr/ZW0ABejo6fDOqN9/sPUVYQsnn/sTz6djLhTcX9FP+vGCGYgGtkmVOq0TZVeed8aswMtangXNVJr7VjaiwBI78cw1QLAg1cmoHln/xN7d8Q6lctRLT3u/N2Nc788fPRzQWE0DHHk2ZNa+P8uf5b29Qm05LS+3mEuZMWYuRkT4Nm1Zh4swuRIYlcmS/D+YWRrzz8QC+/Gg7qSnlMWJUsj55XIXy1vkdmOjq08DSnvebdmFKfQ9W3lZcX2ub2TDftTvLb57idFQAtoamvNe0C5+36M17ZdSZ7dKhEXPe6Kb8ee7H24FSyuATXjfbe9Rj+oQOfPrV30RFq9Yb6RnZTJr5O0ZG+jR3qc6MyZ2IjErCy/v5nr/s4daAea92Uf789g+7FP9TULztxGNHuNRdJx4+1rcbj/HhuK5sXjiOggIIi0nk7zPX6evRWLnPWd8glWP4BkSw66uJ9PZoxIZ/VdcfeD7F81p6eF+3HMSmoEv4JKhfRLO4rpUb8k7jbrxzeRvhj3jm9mUl75F9ds/UkbWwsEBPTw9jY2Ps7e0BuHNHMWXoww8/VI6Evvfee/To0YPw8HCcnJyoXLkyb775pvI448eP5+TJk2zbtq3Ujmz//v1Vfl6+fDlVq1blypUruLu7s23bNqKjozl06JByhLVmzZoq++Tm5vLzzz9jYWGh/L1//fUXmnT+6E1u+RRNWdHTV/xpK9mYEhtZ9KW0rGRCYpz6UQ8rWzOq17Fn9heDmf3FYAC0tLXQ1tbmH5/PWTBtnco0sOd1wicAv4dWXtXTVeTZ2tyEqISiPFYyMyI+Rf3oE0BccpryjqQyFlNjcvLySErNxKV2ZWwtTfnlzcHKz7ULWxWXls5iyOfrCY5OIDYprcSKu4GR8YyyUv/s6rNIyEonNz8fWyPV0VcbI2NiM0qPEaClvRO/dx3Cd16n+fPWNZXPsvJyeff0Aead+RcbI2OiM9IYVd+FlOws4jMffdwn8aTnysrMqMRI4MPiktOUI+8PVDIrea5WzCp5ri4um8XQz9cTHJXAWwPb88fhK/x7WfG99w+Pw8HajAndWz+yI3vcLwDfh5571C+Mw8bMhKjEh+IwfXQcsSlpWBcb+av0oMwV3oFWn+bRx83IziEgMo5qtpbFtucSEptESGwSvsGR7PlwPIPcmvDrvxde2JgqmRrRsUltFm07WuIzUHRiv3y1F3UdbZi4bKvKCPTjJKZnkJuXrxx9fsDaxKjEKO3D8dmYFktvWjR6bWtuQh17axYO7cbCoYrGrraWFtraWngvmsX0tTs5e1cWAHlW54/f5JZv0TVK/+FrVJTqNSoh7vEzSB7cbA26G4VVJVNGT++k7MiOe6MLx/f7cKBwNDPobhSGRvq89ckA/lp5jPy8/NIO+9TOn7zNbb+ixvKDa6+VtSkxUUUdGwsrkxKjtOpEhScq8hwQjWUlE8ZM8eTIfh9q1LbD2taML5e/qkyrVTgqtu/cfKaM+JnQ4EevUPssHlyzbIqNfFkbGD92deHIwoWgAlJi0dHS5osWfVh15yx5BQVMa+CBT3w4q+8oFsK8nRRNRu5+NnYcz3d+x5T7atKZC/7cvB2u/FlPT0cRi5UJMbFFszUsLYxJSHz8dbO9Rz0+nNObRd/uVVmx+IGCAgiLSATA/1401atZM2a4+3N3ZE9eC8DvXtGNbH3dwjgsil+PjYlLLv0cxSWlYW2h2haxMjciNzePxMI6PzElg3eX7UFfVwcLUyNiElOZOeQVwtWsXfFARlYO98LiqFr46M/zSiylDFYyMCEuS/13ys22Fi2ta/B6/Q6AolOvo6WNT78FfO69l63BRTMdulZuyJfNBzHPa+f/54rF4rlo/PU7jRsX3SVycFAs/BITE4OTkxN5eXl8//337Nixg4iICLKzs8nOzqZdu3alHi8wMJAvvviCy5cvExcXR35+Pvn5+YSGKi5cPj4+NG7c+JHThKtWrarsxD7IV2xs7POGqiIjPZuM+6qLEsXHJNOsbR3u+CleR6Gnr0uTFjVY9c0BtceIi05mWj/V1+z0GdmGZm3r8PkbfxGl4YUl0rNySI9RrQxjktJwa1CNG8FRgKKCblbbiR92nir1ON6BEXR0qa2yza1hdW4GR5Gbn8/14EiGfL5e5fMZ/dpibmzI4k1HCYtT5OHavXCqF1tsprqdJRHxmrug5uTn4xsXyStONdgXVFRhtqtcg/1BpT+/1dq+Cmu7DeGHq2dYc+NKqelyC/KJTFdU7H1rNuRoSIBGHjko9Vw1LHau6jjx447Sz5XPvQg6uBY7Vw1Uz9XQYufq9b6Kc/Xl5qOEFV48DfV1yc9XbYzm5xcoG3aPjCNLTRz1q3E9pCiO5rWd+H7PI+IIiqBj02Jx1K/OjRBFHA/SuNevzrpjRefLvX51vIPCKY2+rg417Cpxyf/Rz1Fpa2mhV9h4eVFj6t+mMdm5eRy4WrJhoKutzVfjelHH0ZqJy7Y9soOtTk5ePjfComhbtzr/+hatA+BetzqH/O6q3cf7fgSze7ZDX1eH7MLnZN3rViMqKZWwhGR0tbXp/51q2Rvp7oJ73Wq8uf5vwmWU9rlkpGeTkV78GpVCM/c63LledI1q3Lw6q797uinAWtpa6OnrKH82MNQr8WhMfn7Bkw+LPgVFXKpTF+NiU2jeuhZ3bii+F3r6OjRxrc6qnw491bG1tbXQ01M0k27fCGfKiJ9VPh8/rROm5oYs+3ofkWU0iyqnIJ/riRF42NfiQNhN5fa29rX4N+zWEx9HGy10tLTR1tImryAPQx29ErOF8gpfzVNWLwLJyMgmrNhKxHHxqbRsVoNbdxUdQ309HZybVGHF6uOPPFbHV+ozb3YvFn+3jxNnnuzZa22tos7z80jPzCE9M1FlW2xiKq0bV+dGUFGd71rPiZ+2nCz1OL4BEXRorlrntyk8Rl6xmz3ZuXnEJKaio6NNpxZ1OXyp9A6fvq4ONRytuHJLM88D5xTkcSMxHHe72iqLNrW1q80hNYs4AfQ7ovpd6exYnyn12jP8xG9EZxbV5T0qN2ZRiwF8cGUX/5ZyLCEeReMdWT09PeX/axVetB5MEVm6dCnLli3jyy+/pFGjRpiamvLZZ58RE1P6u91GjBiBo6MjP/zwA46Ojujq6tKmTRuys7NVjv2keXqQr+KN8LKwa/1ZRkztQMi9WMKCYhk5rSMZ6dkcL7xrDTBn8RAAvp23jbzcfIL9o1SOkRifRk52XontZWXDUS8m9mhNUFSC4pUuPduQkZXD/ktFF8zPx3UHYP46RWNn2ykfRni68s4QT7af9sW1VmX6uTVi3pp9AGRm5xJQbKQ1JT0LHW1tle1/HvXi93eGM7FHa/69cpv6VewY0bEZy3arvp/wea3yu8z37XvjHRPB5ahQRjdwxd7YlL8KR1nfa9EeV1tHRh1QvALKzaEqa7sO5o9b19gVcEM5mptXkE98pmJlwJrmVrjaOnI1JgILfQMmNWlFfSsb5pzaq9G8P0x5riITCI5OYJKac/VZ4bla8NC5Gt7BlXeGerL9lC8utSvT173YuSr23ruUjCx0dbRVtp/0vcf47q0Ii0smIDyOBlVtGdO5Of9cuMnT+uukF5O6tiYoWhHH5G5tSM/KYd+VojgWjlbE8dFfiji2nvFhRDtX3h3oybazvrjWrEz/1o14f/2+ouOeuMqaN4YxoUsrjvr408m5Di3rVuG1n4peUTC73yucuH6PyIQUKpkZM6VbG4wMdNlzUXFBNTHQZ3znlpy8fo+YpDSsTI0Y8YoL9pam/Hu19MZTecb0wEC3Jhy4ervE6350tLVY8lpvmlR14I1VuykoKFCO8qZmZpGVk1fiWOqsO+XFl8N74BsSydXgcIa1ccbO3ITN5xXPSb/Vw4OmVR2Y+Jti+uDea7d4vYsbXwzrzsojF6hhY8WkDq2U74DNzc/HP0q17MWlppOdm6eyXU9Hm9p2ihuXBrq62JiZ0MDRlvTsbO7Hle+UtLR0uF/4Gt38fAiPgpt3wcIcKtuXa9bU2vnnWUZM9iQ0MIbQ4FhGTu5AZno2x/YVPcrxTuHsoG8+VJzHfiPdiAxLIDRIcTO4aYsaDB7noXz1DsCFE7cZOLYtd6+HKacWvzqjMxdP3tboaGxpdm28wIjXXiEkOJbQ+3GMmtCezIxsjh0seuzo3cJHgZZ8sksR17DWRIUnEFI4qtq0WXUGj27LP9sVz/5mZeYQHKDaVklNzURHR7vEdk1be+c8X7cegE98GF5xoYyo1Rw7IzM23lPc0JrTpBPOlSorX5vTv1pTsvJyuZMcTU5+Hk2sKjOnaUcOht0kJ1/x/T4acYeFLfowslYL5dTiD12645cQofaVPmVl667LjB3hTnBoHKFhCYwd4U5GRg6HjxddSz6Y0wuARd8q6sJO7Rvw4Tu9+Xn1cbz9QpXP2ubk5CkXfBoz3I2btyMIj0xEX0+HNi1r061TY378RbNT2x/YeOgqr/VpTXBEPPejEpjQR3E9PnihqM7/ZFIPxX9XKQYzdhz3ZlhnV2aP7MCO4z641KlMH4/GfLiyqM5vXMsBO0tT7oTEYGtpypT+7mhrw/r9Ra+EmjWsPaeu3SMyPhkrc2Mm9nXD0ECPfx4xO+pp/R5wjq9aDMI3IYyrcfcZXrMldoZmbA5U5OPtRp1pauXEhDOKm5H+Karvom5iVZkCClS293RqwpctBrLE718uxwUrR3xz8vNIytHsqssvPJla/MyeuSOrr69PXt6TNXgeOHfuHD169GDEiBGAohPq7++vMlr6sPj4eG7fvs2SJUuU05WvXbtGbm7RCm4uLi5s2bKFuLi4Ml286VlsXX0SfUM9Zszvq3jZvE8oH05aq3L32M7RsvwyqMbvhy5joK/L3OGdMDc2wC8okulLd6g0hh2sVBdhCI9L5o2fdzJnsCdDX3EmJimNr7ceL/EO2ce5ERzF7JV/80Y/Dyb3bENkfAor/j7LlpOafT72n8BbWBkYMtPFHTtjE+4kxDL+322EpSku3nbGJlQzs1SmH1K3CcZ6+kxt2pqpTVsrt4ekJNFuq2LRDx0tLSY3aUUti0rk5OdzLuI+g/75i9DUsmsQrPv3MoZ6urw/ovBcBUbyevFzVUnNuVq+kzlDPAtfxZPG11uOl3iH7ON8vfkYr/dry7wRnbAyMyY2OY2dZ/z4de/5p45j7ZHLGOjpMm+wIg7f4Eimr3h0mQuLT2bGrzt5d4AnwzwUcXy147jyfasA3kERvL9+HzN7teX1Hu6ExCXy/rp9Ku+Qtbc048tXe2FlYkRCagY+wRGM/X4TEQmKaW55+fnUcbBmQJvGWJoYkpiWyfX7UUxYupW7EaXP6ijPmABa1alCdVsrPvij5GqR9pZmdGpaB4DN74xW+Wz+hoPKTvzjHPC5g6WxIVM7tcbW3IS7kXFMW7tL+Q5ZWzMTqlYqqttTM7OZtGo7H/XvxJY3RpGckcXvp7xKvEP2cWzNTdn+VtECgdVsLBnu5szFgBBe+3XbUx1L067fhnFvFY1nLVur+DegRwGL55Vjxkqxde0pDAz1mPFBX0zNDbnlG8oH035XvUY5WKrso62jxcS3umHvZEVebj4RofGs/fFf9m4pWuxpw6/HKSgo4NUZnbGxtyA5MZ3zJ26x7ilHRJ/VlvVn0DfQZcZ7vTAzM+LW9VDmvfGHSly2DqrtDh0dLSa+0QV7R0vy8vIJD01gzfLD7N1+ufjh/3P7Qm9gqW/E9IavYGdoyp3kGCaf3kh4uuLGja2hKVVNiqaR5hbkM7WBB9VNK6GlpUV4WhJ/BVxm7Z2ilcB3BvtgqmvAmNqtmOvclZScTC7EBPO17+H/NLaN2y5iYKDH2693xdTUkJu3I3jnoy0q75C1s1VdfKxfL1d0dXV4c2pn3pxatD7BVZ/7vDV3EwBGRvrMntENWxtTsrJzuR8Sz6Jv93HkxNPfbH0S6/dfwkBfl/fGdMLMxJDr9yJ549vtKu+QLXE9jk3mre938vZITwZ3cCYmMY1vNhxTvkMWFDfrpg3ywMnWgozMHM74BrJg1X5SH1pvxM7KlIXTemFpakRCSgZ+ARFM+GIjkXEl3+f9rA6EXcdS35hp9dtja2DK3ZRopp77S/k8q42hGVVNnvz1bQDDa7ZET1uHD5x78oFzT+X2i7FBjD/9u8byLl5uWomJic90H2DWrFlcu3aN9evXY2pqip+fH/379ycgIEDZoQwODsbFxYVjx47RrFkzPvzwQ3bu3Mnq1auxtrbm119/ZcuWLTRt2pS9exUjV9OnTyc+Pp7NmzeTn59P3bp16dixIx988AHh4eEsWLAAHx8ffvzxR0aPHk1aWhoeHh44ODiwYMECKleuzI0bNzA1NaV9+/YsXryYPXv2cO7cOWXe//rrL9577z3CwsJKxDXC/atn+XO88CI7lP7Oy4oqvuWL9Q5JTbG+pPf4RBVQnkF550A8qdyX9Fz5vr2ivLOgcb26DSvvLJSJAoOXsx4MfP/le+uh45qXs8JId9D4pMUXQlq/l/MxjXMd3y7vLDyzlj+vKe8sKF1+fUJ5Z+GpPHON+sYbb6Cvr4+bmxu1a9dWPrP6KO+++y7Nmzdn6NCh9OrVC2NjY4YOHVp65rS1WbNmDdevX8fd3Z13332XDz/8EAODokrTxMSEvXv34ujoyIgRI3B3d2fx4sXKac1CCCGEEEII8SLSKnhx/lU0zzwi+7KSEdmKQ0ZkKxYZka04ZES24pAR2YpFRmQrDhmRrVgq8ohsq+UvzojspRn/JyOyQgghhBBCCCFEeXg5bzcJIYQQQgghxItO5sY+MxmRFUIIIYQQQghRociIrBBCCCGEEEKUBxmRfWYyIiuEEEIIIYQQokKRjqwQQgghhBBCiApFphYLIYQQQgghRDmoiO9vfVHIiKwQQgghhBBCiApFOrJCCCGEEEIIISoU6cgKIYQQQgghhKhQpCMrhBBCCCGEEKJCkY6sEEIIIYQQQogKRVYtFkIIIYQQQojyIKsWPzMZkRVCCCGEEEIIUaHIiKwQQgghhBBClAN5j+yzkxFZIYQQQgghhBAVinRkhRBCCCGEEEJUKDK1uJjAobblnYUykW9Q3jnQvEbfJJZ3FspE8MCXswy+jHSyyjsHZcMwobxzUDZ6dRtW3lnQuH3/binvLJSJmnsnlXcWykStX1++OYThr+iVdxbKRI75y3euAOq/nVzeWSgb18o7A8/h5Sxq/wkZkRVCCCGEEEIIUaFIR1YIIYQQQgghRIUiU4uFEEIIIYQQojzI1OJnJiOyQgghhBBCCCEqFOnICiGEEEIIIYSoUGRqsRBCCCGEEEKUAy2ZWvzMZERWCCGEEEIIIUSFIiOyQgghhBBCCFEeZET2mcmIrBBCCCGEEEKICkU6skIIIYQQQgghKhSZWiyEEEIIIYQQ5UAWe3p2MiIrhBBCCCGEEKJCkY6sEEIIIYQQQogKRaYWCyGEEEIIIUR5kKnFz0xGZIUQQgghhBBCVCgyIiuEEEIIIYQQ5UFGZJ+ZjMgKIYQQQgghhKhQpCMrhBBCCCGEEKJCkanFQgghhBBCCFEO5D2yz046ss9oZCtnJnq0xNbUBP+YOBbtP8GV+2Glpq9nZ8383p1o6uRAUkYmmy/78POJCyppRrV2YXRrF5wsLYhISuaXkxfZ7X1T+Xn3RnWZ3K4V1SpZoKujQ3BcAuvOXWWX940yi3NUc2cmurXEztSEuzFxLDp8gssh6uPU19Hhs56daeRgR23rSniFhjP2r22lHrtFlcr8MWYo9+Li6fPbH2UVQqlGz+hMz6GtMDU34rZPCMsX7uG+f3Sp6Zu2rMn4t7tRpaYtBoZ6RIcncnD7JbavPa1Mo6OrzfDJHejSvxnW9uaEBsay5rsDXDl9V+P5H9HGmQntWmJrZoJ/dBxf7j3BleDSy2Bde2s+6tuJplUUZXDLRR9WHFMtg3o62kzt0IZ+rg2xMzchLjWdtaev8Oe5awDoamsz2bMV/Zs1wt7clMDYBL47eIrTd4MrdFwP6+Vcn2+G9+L4rXu8/sdujcU1vK0z4zso4gqIiuOr3SfwCnxEXA7WfDCwE02qOZCUnsm28z78cqgors5N6jDM3ZkGTrYY6OoSEB3Hb4cvcvzGPWWa/i0bsXBE9xLHbjH3J7Jz8zQW25S+bgx6pSlmxob4BUbw1YZj3IuIe+Q+zes5MXuoJ7UqWxOTmMb6g5fZftJHJY2JoT6v929L5xZ1sTAxJCohleU7z3Doyh0AjA30mN6/LR2b1cHKzJjbIdF8s+k4N4KjNBbbw8ZM70TPwS0VdYZvKMsX/U1wwCPqjBY1eG1WN6rUsFHUGRGJHNhxme3rzqik6z/anT7DWmPnaElyUjrnj91k9ff/kpmRXSZxPK1L3rB2E1y/A9GxWiyaW8DAnuWdq9KNbejK1KatsTUy5W5iLJ+eP8qlqFC1ad0cqjKxSUtcbR0x0zcgKDmBNX5X2HLXVyXdqw2bMa5Rc6qYmhOWmsIy73Ps8L/+X4SjYtxYD/r0csHM1JCbtyL4cdkhgoJjS03/ikc9+vZxpW5te/T1dQi+H8efG85x9ry/SjpjY30mjn+F9q/Ux9zMiJiYFFatPcnxk7fKNJ5RLZyZ6K6oF+/GxLHo4AmuPKKN8WnvzjR2sKOWTSW8QsJ59Q/VNkarak7M7tSOmtZWGOnpEZ6UzNarfqw5f6VM4yhujLMLk5u3xM7EhDtxcSw8eZxL4erjauNUhQnNmuPi4ICZvgHBSYmsverF1htF5cvW2IQP23vS2NaOGpaW7Lx1k/cOHfyvwlExelZ3eo50w9TCmNvXglm+YDv37z5Zndu4ZU2+2vg6IQHRTO+xRG0az77NmPvTWC4cuc4nk1ZrMuviJSQd2WfQs3E9PujZgc/2HuVKcDijWjvz65gB9Fm+noiklBLpTQz0Wf3qYC4HhzH01w3UtLZi8cDuZOTksPasFwAjWjkzp0s7Fuw5jHdYJM5O9nzeryvJGVkcu6NomCZmZLLi5AXuxcaTm5dPh/q1WNi/K/Hp6Zy8G6TxOHs1rMeHXTvw6cGjXAkJZ1QLZ34bPoBev64nIrlknDraWmTl5vHXZW88a9fAzNCg1GObGxrwdd8enAu6j72Zqcbz/jhDJ7Zn0Ph2fPfBNkIDYxn1eicWrZrA5F7fkZGuvvGYkZ7Fnj/PEXg3kqyMHBo1r86bHw8gMyOHvZsUHYxxb3alU79m/LhgJyH3omnhUY/5P41hzuhfCLgZobH892haj3m9O/D5nqN4BYczso0zK8cNoO+PjyiDrw3mclAYw37eQE1bKxYN7k5Gdg6/n/FSplsyrBcOlmZ8vOswwXGJ2JgaY6BXVE282bUt/VwbsmDXYe5Fx+NRtzo/je7H6JWbuBkRU2HjeqCKlQXv9HiFy4HqG73PqrtLPd7v34EvdhzFKzCcEW2dWTFpAP2XrCcyUX1cv04ZzJXAMEb+uIEatlYsHN6d9Owc1p9QxNWydhUu+oew9MAZktIz6d28IT+M78uEFdtUOsjp2Tn0WrxG5fia7MSO696SMV1b8MnvBwmOTGByHzd+fnsQg+b/TnpWjtp9Klub89MbA9l9xo+PVh+gWZ3KzB3diYTUdI56KRrYujraLH9rEMnpmcz9dS9RCanYW5mSnVOU9/mvdqVuFRs+XnuQqIQUerk1ZMXswQz5eB0xiWkaixFg6GuvMOhVD76dv53QoFhGT+3IopXjmdTvh0fUGdns3nCOoLtRZGbm0Ni1Gm8u6E9WZg7/bL4IQIdezkx8uzs/frILP68gHKpU4u1PB6Kvr8f3n+zUaAzPKj0D6taE/t1h7qIXe+igT80GfOzWmY/OHuJyZChjGzZjXfchdNm+mvC0kt+1FvZO3E6IYaXPRaIyUvF0qsnidt3Jystl9z3FjeQxDVyZ28qTuacPcjUmHFdbR7706EFSViZHQgL+s9hGDGvDsMGt+OqbfdwPjWfcaA+WfDmMVyesIqOUmx4uzlW5ei2YNb+fIjklgy6dGvPZxwN5+92N+Pop6jkdHW2WLB5OSmomny7cTUxsCrY2ZuTkaK6eUKdno3p80L0Dn+5/qI0xagC9V5TexsjOzePPS9541q2BmUHJNkZ6dg5/XLrKneg4MnNyaF61Mp/26kJmTg4brviUSF8Wetetx/z2HVhw7CiXw8MY4+zCmv4D6f7nOsJT1JTBypW5HRfLr1cuE52WRvvq1fmic1ey8vLYc1txI0FfR4f4jAx+uXyREU2c/5M41Bk6tRODJnny3bubCL0Xzag3u7Hoj2lM7vwlGWlZj9zX1NyIOd+O4trZu1jbW6hN41C1EpPm9cX34n/3vRIVmzwj+wzGt23Ozms32HrFj3ux8Szcd5yY1DRGtlJfufR1boCRni5zdx7gbnQc/97057fTlxjv3kKZpr9zQ7Z6+bHX7zahCUns87vDliu+TGrXUpnmQmAIR24FEBibQEhCEn+cv8rtqBhaVncqkzhfa92cnT432HLNj4C4eD7/VxHnqObq48zIyeXjA0fYfM2XyJTURx57Ue+u7PS9wbUwzXXunsaAV9uyddUJzhy6TrB/FN/O24qRiQEd+riWuo//jXBO7Pfhvn80UWEJHPv7GlfO3KVJixrKNJ36NWPrqpNcOnmbyNAE9m6+wKWTtxk0vp1G8z/eozm7vG6w7bIf92Li+eKf48SkpDGijfpz08elAYZ6uszbdgD/6DgOXfdn1clLjGtXVAbb1qmGe51qTFu3k3MB9wlPTMYnNJJLD3Xq+rk2ZNXJy5y8HUhoQhKbL/pw8nYg4x86TkWMCxSjzd8M78mPh84SkpCkkXgeeNWzObsv3WD7BT8Co+NZvOs4MclpDHdXH1fv5g0w1Nflw40H8I+M47CvP2uOXeLV9kVxfbX7OKuPXcIvJIqQuCR+OXSeG6HRdGpSW/VgBQXEpaSr/NOkUV2a8/uBSxz18icgPI6P1x7A2FCfHm0alLrPYE9nYhJTWbLpOEGR8ew87cc/Z28wtmtRfH3bNsbKzJjZy/dwzT+ciLhkrvmHK0dbDfR06NS8Lkt3nObKnVBCY5L49e/zhEQnMsTTRaMxAgwc05Yta05y5vANgv2j+eaj7RiZGNCxV+m/y/9mOCcO+BIcoKgzju71VtQZzWso0zRyqcYtnxCO/HONqPBEvC/e4/DfV6nvXEXjMTwrTzd4ewp07wDaL3irYVKTlmy768em2z74J8Xz8fkjRKenMaZhM7Xpl3uf55srp7kcHUZIShJ/3rrGgaA79KxRT5lmUJ3GbLztw557NwlJSeLve7fYeNub6c5t/quwABgysCUbNl/g5Ok7BAXFsnjJXoyN9OnSqWGp+yxbcYSNmy9w63YE4eGJrP/zDHfuRtKubV1lmp7dm2JpacxHH2/H73oYUVHJ+F0P4/adyDKN5zW35uz0vsHWq4VtqYOK+n5ky0e0MfYdYctVXyKT1bcxrkdGs+/6Hfxj4ghNTGaP7y1O3wuiRbWyaSepM7F5C7bfvMHm674EJMTz6YljxKSnMbqp+rri50sX+e7cWa5EhBOSnMRfvj4c9L9LjzpF5ygsJZnPThxj+80bJGVl/lehlDBgQnu2/nKUMwd8CL4TybdzNiraTv2aP3bft74azuHtl7jppX4Gl46uNu//NJZ13+wj8v6jZ/S8dApeoH8VzAt+SXrx6Olo09jRnjP+ql/EMwHBNKtaWe0+rlUcuXw/jKyHRkFO+wdjb26Kk6U5APq6OmTn5qrsl5mTS1MnB3RLaTm41axKTZtKXAoqfXris9LTVsR5OrBYnIHBNKuiPs4nNaq5MzYmJvx85sLjE5cBhypWVLI1x+tM0XTf7Kxc/C4H0si12hMfp3ZDRxo2q4bv5UDlNj19XbKzVc9jdlYOjR9quD4vPR1tGlW252zxMugfjGu1UspgNUeuBKuWwTN3C8uglaIMdm5UB7/QKMZ7tODoe5PY//Z4PujdAWN9PeU+6sppVm4uzas/X5ko77gAZnX1ICwhmd1XNTtVX1dHm0ZO9py7oxrXuTvBuNZQH5dLdUe8AovFdScYewtTnCqZl/q7TAz0SE5XbeQY6Oly8MOJHP5oEssm9KdBZdvniEaVk40FNhYmnL9eFFtWTh5X74biUqv0MuFcy5HzN4r9PW4E06iGPbo6ivqug2ttvAPCeW9kRw4umcLWT15lSl835ec62tro6mirjNAqfn8urnWevzw+zMHJikq2ZnidLZqOmZ2Vi9+VIBo+TZ3RwJGGrtXweajOuH41mNr1HWlQ2HG1dbDAzbMBl07d0VwA/yf0tLVpauPAydAgle2nwgJpYffkHRlTfX2SsotGl/R1dMjKK3Z9zsvBxdYRXa3/phnl6GCBtbUpl68UlZ3s7Fx8fENp3OjpOmnGxgakpBbVEx5t6+J3PZQ3Z3Rl+6YZrP1tIuPGeqCjU3axPWhjnLlXrL6/9/xtjIc1dLClWZXKXHrE4ymapKetTRM7e04FB6lsPxUcTHPHJ4/LVN+ApMzy67Cq41C1EpXszPE6dVu5LTsrB7+L92j00A19dXqPaYuVrRmblh0qNc24d3oRFRrP4R2XNZVl8X+gzGvggoICfvzxR1xdXXFwcKBt27Zs3rwZgJkzZ+Lm5kZGRgYAeXl59OjRg+HDhyv3/+STT2jZsiUODg40bdqUBQsWkPnQl3vx4sW4u7uzfft2XF1dqVKlCqNGjSIuruhuTm5uLvPmzaN69epUr16defPmMXv2bHr37v3U8VgZG6Gro01cmuqoRlxqOjamxmr3sTVVPJOnkr5wf1tTE0DRsR3UrDFNKtsD0KSyPUOaN0FfVwcrYyPlfqYG+lz5YAa+C95k5egBfLH/GKf8g546jsexMjZCV1ub2GJxxqalY2OiPs4nUc/WmpmvuPHO7v3kF5TPrR8rGzMAEuJU7+gmxqViZfP4ac5/HH2fPdc+48ctM9i78QL7CqcIAlw5fZcBY9viVMMGLS0tmrnXoW2XxlSyNdNY/i0Ly2Bs8TL1iDJoo64MFv5sU1gGq1hZ0Lx6Zeo72vDWhn9Y+Pcx2tWrwReDi56xPH03mLFtm1HDxgotLXCvXY0ujepga2ZSoeNqW6caPZvW49PdR547juKsTArrDDX5tDYrJS4zkxIjpw9+tinlbz2irQv2Fmb87VX0XH1QTAILthzizbV7eO+v/WTl5rF+5nCq2Vg+R0RFrM0V+Y8vntfkdKwtSq8nrC1MiE8uuY+ujg6Wpor6roqtBV1a1EVXR5tZS3exYs9ZBrd3ZuZADwDSs3LwDghnYu822FqaoK2lRc82DWhayxEbi+cvjw97UC8UrzMS4lKpZP0Edcahd9lz+RN+2jidfzZfZN/WS8rPThzw5fefDrFk7ST+ufIpf/z7LkH+Uaz+vnyef6vIrAyNFdetTNVp5TEZ6dgaPVmZ6FS1Nh6Vq7Ph1jXlthOhgQyr1xRnGwcAmto4MLyeM/o6OlQyNCrlSJpVqVJhGUxQjS0hIY1KVk/+eM6Avs2wtTHl0OGi5y8rO1rSoX0DdHW0mTd/G2vXnaJfb1cmT/DUTObVKK2NEZeWjm0p9f3TODFrEr7z3mD7xFFsvOzNJq//ZlqxlVFhXOnF2k7p6dg+YdupU82atK1alY1+vo9P/B+yslXcRE2IVZ0enRibgtUj2jg16jsyelZ3vn7rL/Lz1bf7mr9Sj/Z9XFn2YenrqgihTpk/I7tw4UJ2797NN998Q506dbh06RKzZs3C0tKSr776ivbt2zN//ny++eYbvvnmG+7du8eZM0ULYRgbG7Ns2TIcHR25ffs2s2fPRl9fn48++kiZ5v79++zYsYM///yT9PR0JkyYwOeff84PP/wAwNKlS9mwYQM//fQTjRo1YtWqVWzbto2mTZs+c1zF+2BaWloltqmkL/azlnK74pOfT5zHxtSYjZOGo4UWcWnp7PK+weR2rcgryFful5adzcBf/sRYXx/3WlWZ292TsIRkzgeGPHMsT0NLmfOnp6ejw/cDevPVkVOEJiVrMFeP1rGPC298MkD588fT1gMlzyGPOYcPvDP2V4yM9WngUpUJc3oQGRrP0b+vAbBy8T+8+dlAVv79FhQUEBESz6GdXnQd+PhpN09NXRl8VPIS6R8cRvGBduH+727eT2qW4nmrhX8fZdVrg7E2MSYuLZ3F/xzns4Fd+HvWqxQUQEh8Iju9rjOweWPNxKTIULF8lm1ceQX5LBrcnXe37Cc589HP+DyPkmXr0d+lUuNSU0i7NK3D7D6v8N6f+4hIKGpkeAdH4B1cNH3/WlA422aPYZSHK1/uPv4UuVfo2boBH4zprPx51rJdavOkxeO/S2q+firH0tLSIiElnYXrD5NfUMCt+9FYmBgxZ5gnP2w7BcCCNQdYMK4bB76eQm5ePrfuR3Pw4m0aVLN76tge1rGXC28u6Kf8ecGMPwrzVjzPWspy9ijvjF+lqDOcqzLxrW5EhSVw5J9rgGJBqJFTO7D8i7+55RtK5aqVmPZ+b8a+3pk/ftb8jZX/B+q+O09ynlraOfFThz58cu4I3rFF02p/unYOO2MTdvQdjRZaxGaksd3/OtOd25BXRjdku3RqxOxZRTfb5n2kaOCXrEa01NYJ6rRvV4+pkzvy+aI9REUXXYO1tLRISEznmx8OkJ9fwJ27UZibG/H6tE788tux5w3lkZ71Ovw4o9dtwVhfDxcnR97p/Aqhicns9r35+B3LiJaWumtASS0cK/N99158duIYPlFlO7X7cTr2b84bXwxV/vzxxFXA050zPX0d5v40llWL9hAVGq82jbmVCbOXjOSrWX+SmpyhiaxXPBVwSu+Lokw7smlpaSxfvpwdO3bQtm1bAGrUqMGVK1dYtWoV3bt3Z9WqVXTr1g0rKyu+//57Nm7ciK1t0dS39957T/n/1atXZ/bs2SxdulSlI5ubm8vPP/+MhYXi4fHx48fz119/KT//5ZdfeOutt+jfvz8AX375JUePHn2mmBLSM8jNyy8xQlTJxKjEKO0DMalpatIrfn4w+pSVm8eHuw/x8d9HsDY1JiYljWEtm5KamUVCetEXu6AA7scrnt+7FRlDLZtKTG3fWuMd2YT0DHLz80uMvlqbGJW4g/qk7ExNqGtrzeI+3Vjcpxug6GRoa2lxY+4sJm/eyZnA+8+d9+LOH73JLZ+iv4+evqLYV7IxJTay6FlIy0omJMY9+tlegKiwBACC7kZhaW3GmBmdlR3ZpIQ0Pn/jT/T0dTG3NCYuOpkJs7sr99GExAdl0ExNGUxVf25iU9PUpFf8/GCfmJQ0opNTlZ09gHsxiguPo6UZcWnpJKRn8MZff6Ovq4OlsSHRyWnM7t6OsITnvzFRXnEZ6ethZ27K6tcGKz/XLuxV+Xw2i34/rSco9tnPX0Ka+risTY1KfV41NiUNG/NicZmqxvVAl6Z1WDSyBx9uOqiyYrE6+QUFXA+Norqt5VNGoXDCOwDfwKKOsb6u4rtkbW5CVELRd6eSuVGJEdeHxSWlKUdzlfuYGZObl0dSmmLGTWxSGrl5+SozNwIj4jEy0MPS1IjE1AxCY5KY8s1WDPV1MTUyIDYpjcWTexEe93zPOJ8/fpNbvkV1hv7DdUaUap2REPf4RaUerjOsKpkyenonZUd23BtdOL7fhwM7rijTGBrp89YnA/hr5THy8/JLO6woJiEzndz8/BKjrzaGxsRmPPq61dLeid+7DeE7r9P8+dBoLEBWXi7vnjrAvNP/YmNkTHRGGqPqu5CSnUV8pmafOX/gzDl/btwKV/6sX7g4XSUrE2Jiim5WWVkak/AEC5u1b1ePee/1YfGSvSVWLI6PTyU3N19ltCz4fhxGhvpYWBiRlKT5zsWDNkbx0Vdr42dvYzwsNFFxTboTHYeNiTEz27v9Jx3ZhIzCtpNxsbiMjEuM0hbXsnJlVvcbyA/nz/KX738zgvwo5w9f59a1ojaZnr4OAJVszYiNSFRut7Q2JTG25CJWoBjFrV7Pgdlfj2D21yMA0NLWQltbm3/uLmHBhN/Iyc7D2t6CxX9OU+6npa24Bv9zdwlTu39N2L3nX0xSvJzKtCN7+/ZtMjMzGTJkCFpaRaMPOTk5VKumeK6oWbNmzJkzhy+//JJJkybRtWtXlWPs3r2bFStWcO/ePdLS0sjLyyMvT/WZqKpVqyo7sQAODg7ExiqWo09KSiIqKormzYtGxLS0tGjWrBlhYU//zEROXj7XI6LwqF2dgzeKnrH0qFWdf2+qf8XKtdAI3unSrvD5QkXePWpXIyo5lbBE1Q5Abn4+UYWLGPRuUp/jdwIfeRdPW0sLfR2dp47jcXLyC+OsWZ0Dt4rialujOv/efrZXyUSlpNL7t/Uq20Y1d8GjZjVmbP+7xN9CUzLSs8m4r3onMD4mmWZt63DHT1EG9PR1adKiBqu+OfBUx9bW1lJ2jB+Wk51LXHQyOrraeHRrwskDmpsilJOXz43wKNzrVOeg30Pnpk51Dl0vpQzej2BOd9Uy2LZOYRks7IRevR9O9yZ1MdbXIz1bsdpsDWsrAMKLnZvs3Dyik9PQ1damW+O6HPB9/uf5yiuujOwc+v2oWi5ndW2LuZEhn+85SthzLvyUm5fPjbAo3OtV51+fojjc6lXnsI/6uLyDI3i7t2pc7nWrEZWUSlh80bno7lKPhSO689Gmgxwq5VjF1XO04Xb4szUK0rNySI9R/XvEJqXRplE15SJM+ro6uNZx4sftp0o9js+9CDq4qi5K1aZhdW4ERZFb2HHz9g+nR+v6KiMZ1e0tycjKITFVtWGdmZ1LZnYuZsYGuDeuzo/bT/M8MtKzyUgvXmek0My9DneuF9UZjZtXZ/V3TzcFWEtbS9kgBDAw1Csx3S4/v6BoiFo8sZz8fHxjI3nFqQb7goqe42vnVIP9QaXXUa0dqrC26xB+uHqGNddLf01LbkE+kemK63PfWg05GhJQZgMpGRnZJVYijotLpWXzGspFmPT0dGjapAorVz161LRD+wbMfbcXXy7Zx8mHnm98wO96GJ07NlL5rlWtUomMzOwy6cRCURujba3qHHio7dS2VnX+vfVsbYzSaGtpoa+r+XaSOjn5+fhFR9GuWnX2+xfF0a5adQ74lx5Xq8pOrO4/kB/Pn2Pttav/RVYfKyMtq8RKxPHRyTRrV487hYMDevq6NGlVi1WL/1Z7jLioJKZ1/1plW58xHjRrV4/Pp60lKjSeggJKpHl1Tk/MLIxZvmA7USHqR3JfJvIe2WdXph3Z/HxFg2Tjxo1UrVpV9RcX3skvKCjg/Pnz6OjoEBgYSEFBgbLTe+nSJSZMmMD777/PokWLsLCwYN++fcyfP1/lWHp6qou2aGlpKX/3w9s05fezXnw1qAc+YZF43Q9nRCtnbM1M2HRJcQdtdhcPmjo58Nq67QD843OLGZ5uLB7QnV9OXqCGtRWT27Vi+YnzymPWsLbE2ckR79AIzI0MGO/egrp21szdWdRImtq+NT6hkYQkJKGvo4NnvRr0c2nIwn3HNRbbw9Ze9OLrfj3wCY/EKzScEc2dsTMzYWPhsyZzOnjgXNmBcRu2K/epbVMJfW3Fc73G+vo0tFOMrt+MjiE3P5+7Maor0cWnp5Odl1die1nbtf4sI6Z2IOReLGFBsYyc1pGM9GyOF46SAMxZPASAb+cppnT1G+1OZGg8oUGKmyRNWtRg8Gvt+Gdj0aJV9Z2rYG1nwb1b4VjbWzBmRme0tLTYtvqkRvP/+xkvvhrSA9/QSK4GhzO8teLcbL6oODdvd/OgaRUHJqxRnJu93reY0cmNRYO788uxC9SwsWJS+1b8fLSoDO71vsW0Dm34YlA3lh89j5mhAfP6dOCg7x3i0xSNGecqDtiZm3IrIgZ7c1NmdHZDS0uL1ac0szhDecXlH61a/pIzs9DR1i6x/VmtP+HF4pE98L0fydWgcIa5O2NnbsKW84q4ZvX0oEk1ByavVMS17+otpnd1Y+Hw7vx65ALVbayY2KkVKw4VxdXDtR6LRvbg279PcfleqPJ525zcPJIzFI2PaV3d8AmO4H5sIiaG+oxu50pdRxs+3665KasbDnsxoVdrgiITuB+VwMTebcjIyuHAhaL3T376mmKK5MdrFfXZ9hM+DO/oypxhnmw/6Ytrncr0bduID1btU+6z7YQ3wzq68M7wDmw55k1la3Om9nNn63FvZRr3RtXR0tYiKCKeqnaWzBryCsFRCfx9VvPv99z551lGTPYkNDCG0OBYRk7uQGZ6Nsf2FeXnnS8Uo/rffKg4j/1GuhEZlqCsM5q2qMHgcR7KV+8AXDhxm4Fj23L3ephyavGrMzpz8eTtF2Y0Ni0dHrwmPT8fwqPg5l2wMIfCZR1eGKv8LvO9Z2+8YyK4HBXK6Iau2Bub8lfhKOt7LdvjauvIqP2KtTrcHKqytttg/rh5jV0BN5SjuXkF+cRnKuqHmuZWuNo5cjU6Agt9AyY1bUV9KxvmnNz7n8a2bedlxox0535IPCFh8Ywd1ZaMzGwOHy0aaZz3rmLtj8VLFHnr2KEhH7zXm19+PYa3bwhWVor4cnPzSElRzH7Y/c9VBvRrzszpXdi1xwsHewvGj23H7r/LtkO19rwXXw8obEuFhjOysI2xqfA1ObM7KdoY4/9UbWPo6SjaGCb6+jSwV7QxbkUpbs6NaeVKaGISgXGKWRCtqjkxwb0FGy7/dyOcq72u8G33nnhHRXIlPJxRTZ2xMzHhL19FXfFu23a4ODgwZoeibdHGqQqr+w/kTx9vdt++qRzNzS8oID6j6EZCQxtFrKb6+uQXFNDQxpac/Dz84/+7jt6uNScZMaMLIQHRhAXGMHJmVzLSszi+p+h1d3O+HQnAt3M2kpebT3Cx1a8T41LJyc5V2V48TVpyBjo62iW2C1FcmXZk69evj4GBASEhIXh6ql80YNmyZXh7e7Nv3z6GDh3KypUrmTZNMb3g/PnzODo6qkwvDgl5uim0FhYW2Nvb4+XlRfv27QFF5/nq1avY2T3bc1T7r9/B0tiQ6e1bK17iHR3H1L92EV74nktbUxOqWRWNEKdmZTNx/Xbm9+7EtimjSMrMYu05L+U7ZAG0tbQZ37Y5Na2tyM3P50JgCCNXbVYZpTTR1+PjPp1wMDcjMyeXwNh45u44yF6/kndYNWHfzTtYGhky3aM1dqYm3ImJY/LmXYQnF8VZ1VL1XWC/DRtAlYe27Z40BoB6i74vkzw+q62rT6JvqMeM+X0xNTfitk8oH05aq/I+SDtHS5V9tLW1mDCnB/aVrcjLyyciJI413x1UWexJX1+PcbO64lDFioz0bC6dvM2S97eQlqLZ1QcP+CrK4LQOhWUwKo6p63cRXvhOUhszE6pWKlYG125nft9ObH19FMmZWfx+xkvlXavp2TlMXLudD/t0ZPP0kSRnZnHkhj/fHSwa3dLX1WFW17ZUsbIgPTuHk3cCeX/rAVI09GxpecVV1g5638HSxJApXVpja26Cf2Qcr6/epXye1dbchKrWD8WVmc2UX7fz4aBObJo1iuSMLNad8FK+QxZgmLszejo6zB3QgbkDOii3XwoIYcIKRQPJ3MiAj4d2wcbMmJTMbG6FRfPaz1vxC3myl9c/iXUHL2Ogr8vcUZ0wMzbALzCSGT/sUHmHrEMl1YVAwuOSeXPpTuYM82SIpzMxSWks2XRc+Q5ZgKiEVGb8sIPZwzzZMH8Mcclp7DlznVV7i24cmRoZMHOQB3aWpiSnZ3HE6y4/7zqjHNXVpK1rT2FgqMeMD/piam7ILd9QPpj2u2qd4WCpso+2jhYT3+qGvZMVebn5RITGs/bHf9m7pWixpw2/HqegoIBXZ3TGxt6C5MR0zp+4xbqfSl/d8792/TaMe6voZvCytYp/A3oUsHheOWZMjX8Cb2FlaMhMV3fsjE24kxDL+H+3EZaquJbaGZlQzcxSmX5I3SYY6+kz1bk1U51bK7eHpCTRbstKAHS0tJjcpBW1LCqRk5/PuYj7DPrnL0JT/7u1HgA2bbmAgYEus2Z2xczMkJu3wnl33haVkVs7O9VVzfv1dkVXV4eZr3dh5utdlNuved/n7Xc3AhATk8K787bw+tRO/LZiPPEJaew/6MMfG86WaTz7b9zBysiQ6a8UtTGmbFRtS1W1Um1j/DqyWBtjiqKNUf9zRRtDR0uLdzq/gpOFOXn5+dxPSOTbI6fZ+B+9QxZg7907WBkZMbN1G2yNTbgTF8eE3TuV75C1NTGh2kOzCAc3aoyxnh5TWrRkSouiVy6GJifRfu3qouOOHqvye7rUql0iTVnbuvKoou302WBMLYy4fe0+H766UmXk1q6y1X+WHyG0EhMTy3RAe+HChaxevZrPPvsMDw8PUlNTuXz5Mtra2rRo0YIuXbrw66+/0r9/f7Zt28bMmTM5evQojRo1Yv/+/YwZM4YVK1bQunVrjhw5wqJFi4iLiyMxMRFQrFq8Z88ezp07p/ydf/31F++9955y6vD333/PTz/9xE8//USDBg1Yu3Ytf/75J87Ozvzzzz8q+W3z3Zqy/HOUm/yS7w2v8Gr/+XI+MxE8UHOvRxFlS6fs1oYqV/r/bfv8P2N7/uV7N+G+f7eUdxbKRM29k8o7C2Wi1uaXbw5h+Cv65Z2FMpFj/vKdK4D6P4Q+PlEFtOnax+WdhWfmsfDF6Xuc+WhCeWfhqZT563c+/PBD5s6dy7Jly3Bzc2PgwIHs2bMHe3t7pkyZwpAhQ5SLMA0ZMoR+/foxefJksrKy6NmzJ2+++Sbz5s3Dw8ODY8eO8cEHHzx1Ht544w2GDx/OjBkz6NJFcUeyd+/eGBoaajRWIYQQQgghhBBlr8xHZF9U7du3p02bNixZskRlu4zIVhwyIivKm4zIViwyIltxyIhsxSEjshWLjMi+eGRE9tmV+XtkXwT379/n6NGjeHh4kJuby++//46fnx8//vhjeWdNCCGEEEII8X9KVi1+dv8XHVltbW02bdrEggULyM/Pp379+mzbto1mzZqVd9aEEEIIIYQQQjyl/4uObJUqVThw4OneDyqEEEIIIYQQ4sX0f9GRFUIIIYQQQogXjkwtfmZlvmqxEEIIIYQQQgihSTIiK4QQQgghhBDlQUZkn5mMyAohhBBCCCGEqFCkIyuEEEIIIYQQokKRjqwQQgghhBBClAOtF+hfaVatWoWzszP29vZ4enpy9uzZR8Z0/fp1evXqhYODAw0bNuSrr76ioEDzc6ilIyuEEEIIIYQQooQdO3Ywd+5c5syZw8mTJ2ndujVDhw4lJCREbfrk5GQGDhyInZ0dR48e5csvv2Tp0qUsW7ZM43mTjqwQQgghhBBCiBKWL1/OqFGjGDduHPXr12fJkiXY29uzZs0atem3bt1KRkYGK1asoFGjRvTv359Zs2bx888/a3xUVjqyQgghhBBCCFEeCl6gf8VkZ2dz7do1OnXqpLK9U6dOXLhwQW04Fy9exN3dHSMjI+W2zp07ExERQXBw8FP8YR5POrJCCCGEEEIIIVTExcWRl5eHra2tynZbW1uio6PV7hMdHa02/YPPNEk6skIIIYQQQggh1NLSUl0KqqCgoMS2x6VXt/156Wr0aEIIIYQQQgghnoiW5hfz1Rhra2t0dHRKjKTGxsaWGHV9wM7OTm16oNR9npWMyAohhBBCCCGEUKGvr4+rqyvHjh1T2X7s2DHatGmjdp/WrVtz7tw5MjMzVdI7OjpSvXp1jeZPOrJCCCGEEEIIUR7Ke4GnRyz2BDBjxgw2bNjA+vXruX37Nu+//z6RkZG89tprAHz66af069dPmX7IkCEYGRnx+uuvc+PGDfbs2cMPP/zA66+/LlOLy1p2pRd4fP856CdotuC8CBJdrMs7C2Ui0+blLINGUS9fGdTKL+8clI2Cl/QWZ4GBXnlnQeNq7p1U3lkoE4G9V5V3FspE98ku5Z0Fjcvq71beWSgT2rkv3zULAK2XtIIXZWbQoEHEx8ezZMkSoqKiaNiwIVu2bKFatWoAREZGEhgYqExvYWHBzp07eeedd+jYsSOWlpbMmDGDmTNnajxv0pEVQgghhBBCCKHWpEmTmDRJ/Y3TFStWlNjWuHFj9u/fX9bZko6sEEIIIYQQQpSLl3Mi3n9C5hcIIYQQQgghhKhQpCMrhBBCCCGEEKJCkanFQgghhBBCCFEOXuT3yL7oZERWCCGEEEIIIUSFIiOyQgghhBBCCFEeZET2mcmIrBBCCCGEEEKICkU6skIIIYQQQgghKhSZWiyEEEIIIYQQ5UAWe3p2MiIrhBBCCCGEEKJCkY6sEEIIIYQQQogKRaYWCyGEEEIIIUR5kKnFz0xGZIUQQgghhBBCVCjSkRVCCCGEEEIIUaHI1GIhhBBCCCGEKAeyavGzkxFZIYQQQgghhBAViozICiGEEEIIIUR5kBHZZyYjskIIIYQQQgghKhQZkdWQMc4uTG7eEjsTE+7ExbHw5HEuhYepTdvGqQoTmjXHxcEBM30DgpMSWXvVi603rivT2Bqb8GF7Txrb2lHD0pKdt27y3qGDZR7HyFbOTGzbElszE/yj41h04ARX7quPA6CenTXze3WiqZMDSRmZbL7iw88nLqikGdXKhdGtXXCytCAiKZlfTl1kt/dNlTRj2zRjZCtnKluYk5iRwZFbAXx7+DTp2TllEifAxMHu9O/sjLmJAdf9I/lm7RECQ+NKTW9tacKbYzypX8OeKo6WHDh1g4W/qJ6TXu0bM396jxL7er76A9k5eRqPobgxzi5MbvlQOTxxnEth6s+fvo4OCzt3oYmdHbUrVeJKeDijtm0tkW6siwtjXVypYmFBeHIyyy9eYOfNm2qOWDZGuDnzWvvCMhkVx5f/nMArqPQyWdfemg/7d6JpVQeS0jPZetGHFUeKymSrWlX4fcrQEvv1+fZ3AmMSNJLn4W2dGd+xJTbmJgRExvH1rhN4BT4iz47WzBvUiSbVFHneds6Hlf+qfo9a1Hbi3X6e1HawJiY5jbVHL7P1nI/a4/VsVp+vxvbixPV7vLF6t3L79O5uTO/urpI2NjmNTp/8+hzRwtQ+bgxq1xQzY0P8giL4cuMx7kWU/l0CaF7XiTlDPKlV2ZqYxDTW/XuZ7aeK4unr3ohPx3UvsZ/bzJ/Izi36LtmYm/DGwHa0a1IDY0N9wmKTWLThCF53S/97P6sxkz3pNbAFpmaG3LoexvKv9xF8L6bU9E2bV2fCjM5UqWaNgaEe0ZFJHNjtxbY/z6lN36FbE+Z9MZgLp+6wYPZGjee/uLENXZnatDW2RqbcTYzl0/NHuRQVqjatm0NVJjZpiautI2b6BgQlJ7DG7wpb7vqqpHu1YTPGNWpOFVNzwlJTWOZ9jh3+19Ues7xd8oa1m+D6HYiO1WLR3AIG9izvXD3a2I+H0ntyF0ytTLl14S5LZ64i+Ib6cwbg7NmIb499WmL7hIazCLkdrvx54Ju96DOtG/bVbUmOS+Hcnkv89v5fZKZllkkcD4xp4sLUZq2wMzbhTnwcn50+xqUI9d9dt8pVmOjaAhc7RdspKCmRNT5ebL3ppzZ9S0cnNg0YRkBCPN03rSvLMEp4WdqE6oye1Y2eI9pgamHM7Wv3Wf7xDu7fjXqifRu3rMFXG6YTEhDD9J7fKLe36+nM0GkdqVzdBl1dHcKCYti15hSHd1wuqzDES0JjHdng4GBcXFw4duwYzZo1U5vm6tWrdOzYEW9vb6pXr66pX/1Yp06dom/fvgQEBGBtba3x4/euW4/57Tuw4NhRLoeHMcbZhTX9B9L9z3WEp6SUSN+icmVux8Xy65XLRKel0b56db7o3JWsvDz23L4FKDoZ8RkZ/HL5IiOaOGs8z+r0bFyPD3p04LO9R7lyP5xRrZz5dcwA+ixfT0RSyThMDPRZ/epgLgeHMfS3DdS0tmLxgO5kZOew9pwXACNaOjOnazsW7DmMd1gkzk72fN63K8kZWRy7cw+APk3r827Xdny05zBX7odRxcqCL/p1xUBXl4/2HCqTWMf0bcXI3i1Z+MsB7ofHM2GwOz9+MIQRs9eQnqm+86ynq0NiSgbr91xkQOfSz0lGZg5D3lqlsu2/6MT2rleP+R06sODoQ+VwwEC6r1dfDnW0tMjOy2W99zU61KiJuYFBiTSjnZ15r90rfHD4ENciI3Gxd2BR164kZWVx9N69Mo+ph3M95vbtwMJdR/EKCmeEuzMrXxtAv+9KL5OrJg3mcmAYw5dtoKatFV8M7U56dg7rTnmppO333TqS0osaafFpGRrJc3fXerw3sAOLth/F6144wz2c+XnKAAZ8tZ7IRPV5Xjl1MFfuhTHq+w3UsLPi8xHdycjKYf0JRZ6dKpnz86SB7Lzox7y/DtC8VmU+GNyJhLR0Dvv4qxzPqZIFs/u+wpUA9Y3bwKh4JvxcdMMiP//55jSN69aSMV1a8PG6gwRHJTC5txsrZg1i4Me/k56l/rtU2dqcpTMHsvusHx+tPYBrncrMHdmJhNR0jl4tiicjK4d+89eo7PtwJ9bUyIA17w7nWkAYby7fRUJKBlVsLEhI0cy5fNiwVz0YPNqdbz/dTcj9WMZM9GTxsrFMHLKMjPRstftkpGeza9MFggKiyczMobFLVWbN60NmZg7/bFNtoDk4WTLpza74egVrPO/q9KnZgI/dOvPR2UNcjgxlbMNmrOs+hC7bVxOepua6Ze/E7YQYVvpcJCojFU+nmixu152svFx231Pc2BrTwJW5rTyZe/ogV2PCcbV15EuPHiRlZXIkJOA/ietppGdA3ZrQvzvMXfTiz+0b/l5/hszuy5LXlhN6O5wx84fw1b/zea3BLDJSH93hnNj4bVLiU5U/J8UkK/+/48h2TPpqDN9P/gXfUzdxrGXP7FXT0TPU57tJK8osnj516vNxu47MP3mESxFhjG3iyu99B9F1w++Ep5Ysg80dK3MrLpZfvC4RnZ6GZ9UaLO7QlazcXPbcvaWS1tzAgO869+Bs6H3sTUzLLAZ1XpY2oTpDp3Zk0MT2fPfeZkLvxTDqja4sWj+FyV2+JiMt65H7mpobMeebkVw764+1vYXKZymJ6WxadpiQgGjycvNp3akhb305lKT4VC4dv1XKEV8iL37188KSqcUaMLF5C7bfvMHm674EJMTz6YljxKSnMfp/7N13VBTX28DxL703qYKKvYsodozd2HsvsWuaKZrEFJOYWKOm/mJJoibG3kvsib1XlKogCEjvHaS/fywuLizYQMT3+Zyz57Czd2bvw9x7Z+/cOzPNmqtNv+raVX68dJEbEeGEJCex2dODY/536V23njJNWEoy88+cYvdtH5Iyy/eM6EOT2rdk7y0fdrp5cS82noVHThOTksaYVuobzQHNGmKgo81ne49yNzqOf2/7s+bCNSa1d1GmGdS8ETtveHHIy5fQhCQOe/mx44Yn0zq2UqZpUd0e99BI/vG4TVhiMlcCQ9jvfhunanblFuuoPi3Z+M9VTl+9y73QOBasOoqhvi6vuzYqcZ3I2GR++vsUh896k5xa8g/lfPKJT0pXeb0IU1u6sNvHh+1engTEx/Pt6VPEpKUxzkl9OczIyeHLEyfY5ulJZGqq2jSDGzVmu5cnB3x9CUlK4qCfL9s8PXirVevyDEVpYseW7L/hw65rXtyLiWfxP4oyOaqd+jLZ37kh+jrafLHjKP5Rcfzn5c+6M9eY2NGlWNq41HRiH3nl5ZfNkWRC55b8c82H3Ze9CIyO57u9p4lJTmOkq/o893NpiL6uNl9uPYp/ZBzHPfz58+Q13uhSmOcRHZyITk7lu72nCYyOZ/dlLw5c82FiF9W4tDU1WfZGH349fJHQuCS135ebl0dcSrrylfCcHfix3Vuy/tg1Tt70JyA8jnnrFXWpT5uGJa4zvJMTMUmpLNt+msDIePae9+LgJR8m9FSNJz8/n7jkdJXXoya93orY5DS+Xn8M76AowuOSueobQmBk/HPFpM7gMW3Z8fcFzp+6TXBADMu/3YeBoS5dezUrcR3/OxGc+c+b4HsxRIUncvKIJ9cvB9DUuYZKOi0tTT5fOIz1q08SEV42swIeZ1rTVuy668U2Xw/8k+KZd/kE0elpjG+k/kT0SvfLfH/jPNejwwhJSWLTnVscDfKjT836yjRD6zZhq68H/9y7TUhKEgfu3WGrrztvO7V9ITE9rc7tYNYM6NUFNCvBr6EhH/Rj+9J9nN9zhSDvEJZNWomBiQHdxnZ87LqJ0UkkRCUqX3l5ecrPmnRowJ3Ldzm+6SxRwTHcOuXF8Y1naNimbnmGwzRnF3bd8Wabj+K30zfnThKdlsb4piX8drpxlR+uXOBGpOK30yZvd47eu0ufOvWKpV3WtRe7fX1wiwxXs6Xy9ar8JlRn8OTX2PnbKS4c9STYL5IfPt6KgZEeXQaqbzce9eHSkRzfc53bN4ufrHO/5M+l/7wJvRdDxP049q8/T+CdCJq0rlUeYYhXSCVoul9uOpqaNLWx5VxwkMryc8HBtKxq/8TbMdbVI+lBxTVOOlqaNLG35UKAagNzISCYFtXVx+FcvSrXg8PIfGSE5Lx/MLamxjiYmwKKs4hZOTkq6z3IyaGZgx3aBb8cbtwPo6GdNc0LOq5VzUzo2qA2Z+8GlVV4KuxtzLCyMOaqR+H2M7NzuHUnlGb1n3yflURPV5s9/5vO/hUz+P6TwdSvafPc23wcHU1NmtqWUA7tnz0mXS0tlf0Liv3nZFe4/8qLjpYmjR1suXBXtUxevBuMs6P6mJo7VuVGkGqZvOAXjK2ZMQ4Wpippd7w3ltNfzGDdtGG0qV2tTPKsraVJo2q2XPRVzfMl32Cca5acZ7d7YWQ+Mmp/0bcgz1VMlWkuFdnmBd9gGle3VdkP7/V1JSw+mX+u+5SYRwdLM/6bN50jc6ew9I2+OFQxKzHt4zhYmWFtZsQln8K8ZWbn4nY3FKfaJZc7p9pVuexT5H/kE0wjR9V49HS1ObRoKkeWTOOXdwbRoLq1yjpdnOvgFRjBd9P6cnzZm2ydO45RXdT/WHwedg7mWFqZcONK4ahiVmYOnjeDaez05GWnTn07GjtVLzbqOumdbkRFJHL8kHuZ5bk0OpqaNLOy42xokMryc2GBuNg4PPF2jHV1ScoqHIXR1dIiM7dIe5+bTXPrqmhryM+N52FXywbLqhZc/7ewjGQ9yMLz7G0at2/w2PVXXvuObWF/sOy/r2nepYnKZ17nb1PHuSaN2io6TtbVrWg/oBVXj9ws2yAeoaOpSVNrW86FqNaFcyHBuNg9+THLREeXpEzVkcDxTZtjbWjEr9cvl0len8ar8ptQHbvqVahiY4rbeT/lsqzMHLyuBdK4Zc1S1+03vgMWViZsW3H8ib7LuUNdqtW2wetq4PNkWfw/8FRHlszMTD777DPq1auHra0tPXr04NIl9df6ABw/fpzWrVtja2tLnz598PdXnQK3efNmHBwcOHLkCC4uLtja2tK/f3+CgoJU0h05coTOnTtja2uLk5MTCxYsICurcCrX9u3b6dq1K9WqVaNu3bpMnDiR8PCSz8JlZmYybtw4OnXqRExMydc3PQkLAwO0NTWJTVcdKYhNT8fayPCJttGtVi06VK/OVi/PxycuJxaGijji0lTjiEtLx8pYfRzWxkZq0z/8DOB8QDBDWzShqb0tAE3tbRnesim6WlpYGBoAcNjLj59OXGDj5JF4fvU+p2ZNwy86lu//O1emMT5kaabIW9GR0oSkdKoUfPas7kfEs/j3Y3z6wz6+/vUQmdm5/P7NaKrZmT/Xdh+n1HJo+GTlUJ1zwUGMaNIEJ1vF/mtma8uops0U+8/A4Lny/DjmhgZoa2kSl1qkjKWmY2WiPiYrY6Pi6VMU761MFPs2JjmNb/ee4MNNB/lg0wGCYhJYN204LrWe/Ad8SSyMFHmOT3nyPFuaGinzWDTPlgV5tjQpHld8Sjo6WlqYGyn2Q/v6NejlXJ8Fu06UmD/P4Ei+2vov7/yxl292HMfKxJCN74/CzFD/6QJV5l0RU3yRkdL45HSsTEsud5amRsVGV+OTC+IxVsQTHJnAtxv+Y9bqf/hi3REyc3L585NRVLcxV67jYGXGiM7NCY1N4t1f97D15E3eG9yxzDuzVSwVUxMT4lRnLiTGp2Fh+fhpi5sOzuLAhbn8umE6B3dd49CeG8rPWratTeeeTfjfkkNlmufSWOgbKtqLB2kqy2My0rE2eLI2sFv1OrjaO7Llzi3lsjOhgYys3wwnK8VJyWZWdoyq74SulhZV9Mu3vXjVVSk4hiREqc60SIhOVH6mTnxEIr+8/Qfzh//At8O+J8QvnGXHv6bZa4Wzj05vv8ifc7fww5n5HMncypbg1QR63mftp5vKIxQALPQfHrNUy2BsehpWhk9YBh1r06FaDbZ6F15b36CKFR+0bs8H/x0qs1k2T+NV+U2ojoW1CQAJsarToxNjU5SfqVOzgR3j3u/JsllbSr2UxdBEnz2eizjgu5Rv101l9fx9XD/z/2BaMYrnyL4sr8rmqa6R/frrr9m3bx8rVqygZs2arFy5kuHDh3Pjxo1iaUNDQxk3bhwTJkxg+vTpeHt7M3fu3GLpMjMzWbp0KStXrsTAwIDPPvuMcePGcf78eTQ0NDhx4gQzZsxgyZIluLq6EhISwuzZs8nMzGThwoUAZGVl8fnnn1O/fn3i4uKYN28eU6dO5ciRI8W+Lzk5mbFjx5KXl8fBgwcxNTUtlqYsaGjAk7ShLlXt+alXX+afOYVHVGS55OVpFM2zBhqlTt0vnr5gecFaq85cxsrYkK1TR6GhoUFcajr7bvkwvWNrcvMVU5taOzrwdue2zD90Eo/QCGpUMeeLPl14r2t7fj1V8omSJ/W6a0M+ndZT+f7jZXvV5v1hzp+H190IvO5GKN97+oWz4bs3GNGrBT/9feq5tv0sNDSeL6JfL1/B2tCInaNGo6GhQWx6Ont8fHizdWuVqWnlqfh+0ii1bhX7TOPhcsUHQbEJBMUWTt90vx+BvYUpk19z4UYpN2R6GmrrUWl5LvJeQ6P4JyXGRT7mRvosGNOLzzYdISWj5OuUzt8JUnnvERzBkblTGNi6MRvPuKlf6RF92jRk7tjuyvfvr9ynzINq/ktvNxTrFPFIPAAegRF4BBbWJfeAcLZ+OZ7RXZxZvuM0AJoaGvgER7Fi3wUAfENiqGFjwcjOzdl++tlHN7v2bsYHn/dXvv9q1ha16Qr3U+k+mvEXBga6NGpWjakzexAZlsiJIx6Ymhnw8bzBfPflblJTXvzoS7FyqlF8X6rTysaB/3XpzzeXTuAeW3jc+t+tS9gYGrFnwDg00CA2I43d/t687dSW3AroVFRm3cZ25MPf3lS+/7L/EsUfRf6Pj2tbQv3CCfUrPLF/+7Ifdo7WjPhoIJ7nFNc2O3VqzLgvh/Pru2u4fcUfh7p2vPPzZCZ+O4q/520vu6DUKN72PVmlcrGz55fX+/LtuVO4RyvKoK6mFr/26sfiC2cITUl+zBZerMr4m7DroBa8t3C48v28qeuAwmOpkoZG8WUFdHS1+OyX8axdfICo0NIv+chIzeTd/j9iYKiHc4d6zJg7gOjQeG5d9C91PfH/2xN3ZNPS0vjzzz/53//+R69eijtJ/vTTT5w9e5a1a9fyxhtvqKT/888/qVatGsuWLUNDQ4P69evj7+/PokWLVNLl5OTw3Xff0a5dOwB+//13nJ2dOXPmDF26dOH777/nvffeY/z48QDUqlWLb775hjfffJMFCxagoaGh8t01a9bkxx9/pE2bNoSFheHgUDjKEhsby4wZM6hatSrr169HX//ZRiEelZCRQU5eHlZFRr0sDQyLnZErqpW9PesGDuHnyxfZ7Kn+7qMvSkJ6QRxFRl+rGBkUGwl6KCY1TU16xfvYgnUyc3KZu/8/5h04gaWxITEpaYx0aUZqZiYJ6Ypr8z7o5sohT192uSnuPOgXHYeBrg4LB/Zk1ZnL5D7nzWjO3wjAx7/wgKCjowWApbkh0fGFZxYtzAzL/HrWvPx8bt+LorqdRZlut6jnKYelyczN4dP//mXuieNYGRoSnZbGmGbNSMnMJD6j7G+o86jE9AxycvOKjWRaGpdcJmNT09SkV7wvaR0Aj5BI+jSvX+LnTyohTZFnyyKjkVVKyXNccvE8V3mY54KR2bgU9Wmyc3NJSnuAcy17bMyM+eOtYcrPNQt+ELot/4ChyzYQpOaOzBlZ2fhHxeFoZf5E8Z1xD8Drkc6ljrbiEGJpakRUQuFopYWJQbER10fFJacVG7GtYlIQTwk3rcnLz+d2cBQ1HhmRjU1KK3Z35MDIeMZUefz1WqW5fNYXX6/Cm2Xp6CritLA0Jiaq8AeymYVRsVFadaLCEwEICojGvIoR42d05sQRD2rWscHS2oTvVk5QptXQVOy3w5e+YsboVYQGl37352eR8CCdnLy8YqOvVvqGxGY85rhl68D614fzo9t5Nj0yGguK9uKTc0f5/Py/WBkYEp2RxtgGzUnJyiT+wYu5V8Cr4tI/17lzpfAHvI5eQRm0Myfmkbvrm9uYkRCV+FTbvn31Ll1HuSrfT1owmlPbznNk3UkAgrzuo2+kx+w1b7Fx/k7ycsv+pGXCA8Uxy7rI6KvimJVWwloKrao68Ff/Ifx05SKbvAtPWNkYGVG/ihXLu/dmeXfF0wM0NTTQ1NDA/+1ZTD64p9hU5rL2qvwmBLh83Ic7t35Uvn/YDlaxNiU2onBmgLmlMYmx6ttBC2tTHOvbMXvZKGYvGwUo2jhNTU0O+i3l6ynrlFOV8/PziSho7+7dDqd6XRtGvdNdOrKiVE/ckQ0MDCQ7O1vZ4QTQ0tKiTZs23LlTfOjf19eXVq1aqZxda9OmTbF0mpqauLgU3uCjRo0aVK1alTt37tClSxfc3d1xc3Pjl19+UabJy8sjIyODqKgo7OzsuHXrFkuXLsXT05PExETlmaHQ0FCVjuzQoUNxcnJi48aNaGuXzQ2bs/Py8IqOomMNR47431Uu71jDkaOPvC+qtb0D6wYN4ZfLl/jrVvldh/KksnPz8A6PwrWOI8d8CvPtWseRf33Ux3ErJIKPe3ZEV1tLeSdR1zo1iEpOJSxR9WxoTl4eUcmKhq5f0wac9gtUnp000NEmL1/1QJmXl88TDnY8VvqDbNIfJKosi01IpU0zR27fU9wyXldHC+cGDqzYcraMvrVQ3RrW+N9/vinsj5Odl4dXVBQdHR05cveRcujoyNG7JZfDJ5WTl6e8IVT/Bg05FRhY7jfZy87Nwycsig51HfnXszCG9nUd+c9LfUzuwRHM7qNaJtvXrUFUUiphCSWfoW9ob01sSuk/np5ETm4et0OjaF/fkf/cC/PYrr4jxz1LzvOH/YvkuX5BnuOTlWm6Na2jsl77+o74hESRk5eHd0gkQ5dtUPl8Zp8OmBrqs3j3SULj1d/4SVdbi1o2VbjmH/JE8aVnZpMeo7qtmKQ02jWqgU9wlHKbLeo68Mueki8N8LgXQZfmqvG0a+TI7WBFPCWp52CFX2hhXboVEE5N2yoqaWrYmBMR/3yjMRnpWcXuRBwXm0LLNrXx81GMbunoatHU2ZG1/3u6O6tramqgo6M4/vj6hDNj9CqVzye91Q1jU31WLDtMZFj53PgpOy8Pz9hIXnOoyeEgX+Xyjg41ORLkV+J6beyq8VfP4fx88wJ/ehefifVQTn4ekemK9mJA7UacDAmQm3I+pYzUB2Skqo7IxUUk4NLTCb/rimu1dfR0aPpaQ9bM2fhU267TvBZxEYnK93qGesU6q3m5eU8+5eAZZOfl4RUTRcfqjhwOKCxzHavX4GhAycesNlUd+LP/UH6+dpE/PVRnkUSmpfL61vUqy95o6kzH6o68eWT/CxmlfVV+EwJkpGUWuxNxfHQyLTrWw89DcczQ0dWmaatarP3uoNptxEUl8Vbv71WW9R/fgRYd67Hgrb9LHaXV1NRQdp5fedJAPrMnLiEPO4fqpn2oW1bSNIOnlZeXx6effsrgwYOLfWZlZUVaWhrDhg2jS5cu/P7771hbWxMXF0efPn1UrqMF6NWrF3v37sXb25vmzcvuGqp1bjf4oVcf3KMiFc/ibOaEjZERmz0VZwo/6dCR5nZ2jN+zC1A8M2zdoCFs8nBnv+9t5Zm7vPx8lVGuRlaKG5sY6+qSl59PIytrsvNy8Y8v+ztyAqy/5MbSob3xCIvE7X44o1s5YW1ixLbrijODs7u70szBjskbdgNw0PMO73Zpx5LBvfjt7BVqWlowvWNrVp4uvMFCTUtznByq4h4agamBHpPau1DPxpLP9hU+/+yU3z0mtW+JV3gU7qGROFYx5/1uHTjtF/jco7El2X7EjUmD2xIUHk9IRAKThrQjPTObfy8UPh/164Lnwc5ffVS5rJ6jYp8YGuiRl694n52TS1CYYp9MGdYe77vhhEQmYmSgy8jeLalbw4rlfz7ZDQ6exzq3G/zQuw/ukQXl0KmgHHoUlEPXgnK4e5dynbpVqqCjpYWFgT5Gujo0slbEd7vg2vFa5uY0r1qVWxERmOrpM9WlJfUtLfn42NHiGSgHf59347uRvfEMjeRmUDgj2zlhY2rE9iuKMvlhL1eaVbdj6lpFmTx06w7v9GjHohG9+P3kFWpaWTCtS2tWnSgsk2+4tiAsIRn/qDh0tLQY0KIhPZrU5YONB8okzxvOuLF4bG+87kdyMzCckR2csDEzYudFRZ7f76fI8/TfFHk+7HaHt15vx4IxvVjz3xUcrS2Y0r01vx0rzPPOix6McXVmzuDO7LzoSYta9gxq3ZhPNx0GICMrB/9I1ZG7lIxMtDQ1VZZ/NOA1TvvcIzIhhSrGhszo2RYDXW3+uVbyzaEeZ8sJN6b2aUNQZALB0QlM69OWjMxsjlwtPME5f5JiFs/X6xX1ftdZD0Z1cebjEZ3Zfc6T5nXsGdC+MZ+vO6xcZ0a/dngGRnA/OhEjfV3GdHWmbjUrFm8tvAZ48wk3/poziql92vDvdV8aVLdhdLcWrCyYalyW9m29wujJrxESHEvo/TjGTunEg4wsTh0rvI7tk28GA7D8m30ADBzZhqjwBEIKRhmatXBk2LgOHNx9DYDMB9kEB6ie5EpNfYCWlmax5WVtrdd1furcD/eYCK5HhTKukTO2hsZsLhhlndOqE87WVRl7RDG1tJ1ddf56fRgbb99iX4CPcjQ3Nz+P+AeK41YtUwucbapyMzoCM109pjVrTQMLKz46++Ku/30aaenw8DHpeXkQHgW374KZKRTc1uGlsveXQ4z5Yighd8II9Ytg7NxhPEh9wMkt55Vp5qyfCcCySSsAGPJBX6KCYgj2DkFbV5vu4zvRcUgbvh22XLnO5YPXGTarP37XA7hzxR/7unZMnD+aKwdvlMto7ENrb93gxx6K307XI8MY36Q5tkbGbC4YZZ3TriPNbe0Yt19xzGpnX40/+w9lo9ct9vvdVt7/ITcvn/iCEV6/eNV2MC4jnazc3GLLy9Or8ptQnX1/nWP0O90JCYgmLDCWMe92JyM9k9P/FHa+P/p+NAA/fLyN3Jw8gv1UT8gkxqWSnZmrsnz0O925436fyPtx6Ohq07pLI7oNdmH1t/teSFyi8nrijmzt2rXR1dXl0qVL1KxZE4Dc3FyuXr3K8OHDi6Vv2LAh//zzD/n5+cqO7rVr14qly8vLw83NjbZtFbfnDwkJISIiggYNFHfha968OX5+ftSuXVttvry8vIiLi+Orr75S5uuff/5Rm3bu3LlYWFgwePBg9u/fj5NT2TyL69BdPywMDJjZpi3WhoqHX0/Zv1f5vDBrIyNqmBXeGXRY4yYY6ugww6UVM1wKH0MTmpxEp7/WFW53nOp07R616xRLU5aOePthbqjP253aYG1sxN3oON7cvI/wgud1WpsYUeORO5ymZmYxdcNuvurXjV0zxpKUkclfF92Uz5AF0NTQZFL7ltSysiAnN48rQSGMWbddZcR29dkr5OfD+107YGdqQkJ6Bqf87vHzibL/MfrQpgPX0NPV5uPJ3TEx0scnIIIPF+9SeYasrVXx66c3fDdB5f1rLnWIiEli6PuK58aaGOrx6bTXsTQ3JDU9C7+gaN6evx2fgPK/1uWQnx8W+gXlsOAh7FP2lVwOAf4cPIRqjyw7NF5R5mr/pJhOpKmpydSWLtS2sCAnL49LISEM376NsOQXc/3RUQ9FmXyzWxusTYy4GxnHW+v3EVHwPFZrUyOqW6qWyWlrd/Pl4G7smDmW5IxM1p9zU3mGrI6WFp/07YSNmTGZ2Tn4R8Xx1l97OecbVCZ5PnZLkefpPdtgbWqEf0Qc767ZR0RCYT2qZvVInh9k8ebvu/liaDe2zlLkecNpN+UzZAHC4pN5Z+1e5gzqzMgOTsQkpfHd3tPFniH7ODbmJiwd3xcLIwPi0zLwDI5g/C/blHl7Fn//ex19XW0+HdMNU0M9vAIjeed/e1SeIWtXRfVGIOFxyby3Yi8fjehc8CieNJZtP63yDFkTQz2+HNcDS1NDUjOy8A2JZvr3O/EOilKm8QmO4qPVB5g52JVpfdsSGZ/C6n8usuNM2d/9d8eGC+jqafPunL6YmBhwxzuUz9/bqDJya22nWr+0tDSY+l4PbKuak5ubR3hoAn+uPM6h3deLbv6FOxh4Bwt9fWY6t8fG0Ai/hFgm/buLsFRF3bYxMKKGibky/fB6TTHU0eVNpza86VQ4uyokJYmOO34HFM+mnt60NbXNqpCdl8eliPsMPbiZ0NSX63rFh7x9YeKHhSfiV/yleA3unc+SzyswYyXYvmw/uga6zFwxDRMLI+5c8eezXgtVniFrU8NKZR0dXW1mLJ+AlUMVMjOyCPYOYW6/xSp3JN68cDf5+flMmj8aq2qWJMUmc/ngDf6au7Vc4zno74u5vj7vtSo8Zk0+sIewgmOWjaERjqbmyvTDGyp+O73ZojVvtih8BFxochIdN64tuvkK86r8JlRn5++n0NXX4d1vh2JsZoDvrfvMnbhGZeTWxv7pL6XSN9Jl5oKhWNmZk/Ugm5CAaL7/eCtnDtwqw9y/vDTkHgLPTCMxMfGJ/3ufffYZ+/bt43//+x+Ojo6sWrWKXbt2cePGDTIzM2nevDmnTp2iRYsWhISE4OLiwuTJk5k2bRo+Pj588cUXhIWF4e7ujqOjI5s3b+aDDz7AycmJ7777Dn19fb744gvi4+O5cOGC8mZPo0aNYtasWQwZMgRtbW1u377NjRs3mD9/PrGxsTRp0oRp06Yxffp0fH19mTdvHnfu3OHAgQO89tprnDt3jgEDBhAQEIClpSXz589n/fr17N+/n2bNVJ8B2GL9i2sQXiTdhPKbIlRRLHxfzM2GXrSoNq/evgIwiHr14tLKenyaykj7Fb2c0frGy9mheh533no17wYc2O/l6ZiUpV72Zf94qIp299d2j09UCWnmvHrHLIAGv7z4Z+u+CNtuflXRWXhm3T96efoeJ36YWtFZeCpP9fidb7/9lsGDB/Puu+/y2muv4e3tza5du7CzsyuWtnr16mzcuJETJ07QsWNHVq1axbx584ql09PT46OPPuKtt96iR48e5OXlsWnTJuUobvfu3dmxYwfnz5+ne/fudO/enZ9++olq1RTP7rOysmL16tUcOnSItm3bsnTp0mI3lCrq66+/ZuLEiQwaNAhPz5fr9uZCCCGEEEIIIUr3VCOyZW3z5s3MmTOHsLCyeeRFWZAR2cpDRmQrFxmRrTxkRLbykBHZykVGZCsPGZGtXCr1iOzsl6fvceLHV3hEVgghhBBCCCGEqGjSkRVCCCGEEEIIUalUaEd23LhxL9W0YiGEEEIIIYR4UTTyX55XZSMjskIIIYQQQgghKhXpyAohhBBCCCGEqFS0KzoDQgghhBBCCPH/UiWc0vuykBFZIYQQQgghhBCViozICiGEEEIIIUQFqIw3WXpZyIisEEIIIYQQQohKRTqyQgghhBBCCCEqFZlaLIQQQgghhBAVQaYWPzMZkRVCCCGEEEIIUalIR1YIIYQQQgghRKUiU4uFEEIIIYQQogLIXYufnYzICiGEEEIIIYSoVKQjK4QQQgghhBCiUpGpxUIIIYQQQghREWRq8TOTjmwRVc+/mqUpzVajorNQ5uIbv5oTCqzdXs0ymGFV0Tkoe9oZFZ2D8pFuW9E5KB+Bn756bUbtP17N9qLX9OYVnYVycSzcvaKzUObaftG+orNQLjTyKjoH5ePOAsuKzoIQZUY6skIIIYQQQghRAeRmT8/u1Ts9LYQQQgghhBDilSYdWSGEEEIIIYQQlYpMLRZCCCGEEEKIipAvc4uflYzICiGEEEIIIYSoVKQjK4QQQgghhBCiUpGpxUIIIYQQQghRAeSuxc9ORmSFEEIIIYQQQlQqMiIrhBBCCCGEEBVBRmSfmYzICiGEEEIIIYSoVKQjK4QQQgghhBCiUpGpxUIIIYQQQghRATTyKjoHlZeMyAohhBBCCCGEqFSkIyuEEEIIIYQQolKRqcVCCCGEEEIIURHkrsXPTEZkhRBCCCGEEEJUKtKRFUIIIYQQQghRqcjUYiGEEEIIIYSoABoytfiZyYisEEIIIYQQQohKRUZky9iUEe0Z1MMJE2M9vO9G8uPaEwSGxpWY3tLciJkTO9Ogli3Vqppz7KwPi1YeK5bO0ECXGaNd6dquPqYm+kTHpfD7lvOcvORX5jG81bcdQ12bYWqgj1dwBEu2nyIgsuQYAFzqOvDR0M7UqWpJTFIa649fZ9d5D+XnPVvUY1LP1tSwMkNbS4v7MQlsOnWTA1d8lGlGdWrOMNdm2FcxBSAgMo61R69yzjuwzGMc6+LE1PatsDYx4m5MHIuPneFGSJjatLpaWnzbrztN7GyobVUFt5BwJmzcpZKmZ8O6jG7pRGM7a/S0tfGPjeO381c56XevzPP+ONOGtGdw12aYGOnjHRDB8r9PEhhWShk0M+KDsZ1pUNOG6nbmHLlwmwV/qJbBQV2a0bdjI2o5WKGpAX7BMfy++wLufuFPlbdRrk5M6toKK1MjAiLjWLbvDG731P/fAepVteTzod1oWsOOpPQH7Lrkwe//XlFJ41LHgU8GdaaOnSUxyWn8dfI6Oy96qKTp4VSXd/t0oLqVGSGxSfx6+AInPQPUfue0Hq15v19Htp67xZI9pwDQ1tRkZt8OdGxUk+qW5qRmZnHtbggrdp0nMiHlieN/s387hnZshomhPl5BEXy39RT3IkqvWy3rOfDR8M7UtrckJjGNv/+9zu5zhfENaN+Ybyf2KrZeu5n/IysnFwBDPR3eGdiBrs51sTAxxDckmuU7TuMTHPXEeX9SY1o7MdW1FdbGRvjHxLH4yBlu3C95H9e3seSrft1o5mBHUsYDtl/3YNUZ1X08tk1zxrVpjoO5GRFJyfx29ir73W+Xed5LMra2C1MbtMdG34S7yTEsdj/G9dgQtWnrmFgxr0Uf6ppaYaKjT3RGCodCvfnV+wzZ+YUPC+xfvSnTG7SnprElqTmZXIwKZKnHf8Rmpr2osACY+IYr/fs2x8RYn9t3IvhlxX8EBceWmP411/oM6O9MvTq26OpqEXw/jk1bLnHxsr9KOkNDXaZOeo1OrzXA1MSAmJgU1v51ltNn75R3SAC8MW8E/ab3wNjCmDtX7vLrzLUE+4SWmN6pc2N+OPVtseVTGn1AiG9hOzfk/b70f+t1bB2tSY5L4dI/11jz6WYepD0olzie1jV3+GsbePtBdKwGiz/LZ0ifis6VqumD2jOks6Id9L4XwbJNJ7kX/ph2sH41PhzdmdoOlsQmprLhyHX2nC5sB7W0NJnctw39XBtjbWFMcGQCK3ae45JXkDLNpL6t6epSjxp2FmTn5OIVEMHK3ecJKOX4WNamD27P4M4Fx+d7ESzfUHrslmZGfDi64Phsa86Ri7eZv7b4b8QXYXy9lsxo3BYbA2P8EmNYcOM412LU16m6ppbMb92LemZWmOjqEZWewoHg2/zieY7svOIPTW1lXY2tPcYRkBxH70NryzuUl0++DMk+q5dqRPbcuXOYm5sTF/fiGpWyNG5Qa8YMaMVPf55k6mebSUhK5+evhmOor1PiOjo6WiQlZ7Bp31V87kaqTaOlpcnPXw6jWlULvvrpIGM++ItFK48RHp1U5jFM6tGKN7q5sHTnKcYt30J8Sgar3xuKoV7JMdhbmrLi7SG4B4Yz+rvN/PnvVT4d0YXuznWVaRLTHrD26BXe+GEbI5ZsZP9lH+aN7UnHxjWVaaISUvhl/3nGLN3M2OVbuOYXwo8zBlDP3qpMY+zTuD5f9OrCbxeuMnjNZm6GhLNm7GCqmpqoTa+lqUFWTi6brrlzxl99p7pNjWpcDgphxrZ9DF6ziTP+QawYMQCX6g5lmvfHeaNfa8b2ceGHDaeYPG8zCcnp/PrpsFLLoK6OFompGWw4eBXvAPVlsGWjavx32Y+Z3+1kyjdbCY6I55c5w6hua/7EeevlXJ85Q7qw9vhVRn6/mVtB4ayaMRg7c/X/dyM9XX5/axhxqemM/WkLS/eeYlLXVkzo0lKZxqGKKaumD+FWUDgjv9/MuuNX+WxoF3o4FZY9J8eqLJvQj8M37jBi+WYO37jD9xP706yGXbHvdHK0Y1i7ZviGxags19fVplE1G9b8d5VRP2zmg3X7sbMwYcX7Q9DS1Hii+Ce+3orxPVxYuv0Ub3xXULc+eHzd+nXmENzvhTN20Wb+OnaVOaO70K1FXZV0GZnZ9Jzzu8rrYScW4Os3etK+sSNf/32MUQs2cPl2MKs/HIa1udET5f1J9WlSny/6dOH3c1cZ8puibv0xfjBVzUrex+smDCM2NZ0Rf2xh0eFTTHVtxeQOhft4dGsnPurRkVWnr9B/5QZ+PXWJr/t1o2v92mWa95L0rdaYuc69+P3OBQYfX8PNuBDWdBxLVQNTtemz83LZG+zOlHNb6HVsFYvc/2V4TWc+bNpVmaalZTWWtxnE3mAP+v37G+9c3EFdUyt+aDvkhcT00OiRbRk5rDW/rjzOW+9tIDExneXfjcTAQLfEdZo7VefmrWA+/2oX099Zz+Wr95g/bwjNmlZTptHS0mT5klE4OFTh24X7mTB1Dd99f4iIyMQXEBWMmjOI4bMHsOL9P5nZ5jMSo5NY+u9XGBjrP3bdqU1mMbLqdOUr7JHjctcxHZm2dDxbF+9hauMPWTZxBa37tOSdXyaXZzhPJT0D6tWCL94Dfb2X78fxhD6tGdfLheWbTzFpwWbiU9JZ8XHpxyh7K1N+njUED/9wxn+zifWHrvHJ2K50damnTPP2EFeGdnXi+y2nGPXl3+w55c6ymQOpX8NamaZlw+rsOuXOtMXbeHvZLnLy8ln58XBMjR5fLsrChL6tGdvLhe83n2LStwXH50+e7Pj896GSj88vQj/HRnzdqgervC7S7/CfuMWG8VfXUdgbltQO5rE70JMJJ7fR/cDvLLhxnFF1mvNR887F0prq6vND+/5cjAwq5yjEq+il6shWdiP7tWTjvqucvnKXwJA4Fq48iqGBLj07NipxnciYZH7+6xSHT3uTnJqhNk2/rk0wNzPks2X78LgTRmRMMh53wrgTUPajKeO6tuSv/65x4pY/ARFxfLXxKEZ6uvRp1bDEdUZ0dCImKZWlO08TGBXPnoteHLjiw4TuLso01/xCOOURQFBUAqGxSWw5fZO74TG0qFvY0TvteY8LPkGExCZxPzqRFQcukv4gG6daVcs0xsntWrLX3YedN724FxvPwmOniUlJY0wrJ7XpM7JzmHf4BDtuehKZnKo2zaJ/T7Pm4jU8w6O4n5DEyrOX8Y6IpkeDOmWa98cZ3bsFGw5e5dT1u9wLjWP+78cw1NelV/uS919EbDI/bjzFoXM+JKeqH1WYt/oIu47fwi84hvuRCSxdf4L0jCzaOdV84rxN6NKSf676sPuyF4HR8Xy35zQxyWmMdFX/f+/n0hB9XW2+3HIU/8g4jnv48+fJa7zRubBcjejgRHRyKt/tOU1gdDy7L3tx4JoPE7sWphnfuQXX/ENYc/wqgdHxrDl+lesBoYzv3ELl+4z1dVkyvg/ztv1Hcobq/yH1QRZv/raHY7f8CIpJwOt+FPN3HKd2VUtq2VV5ovjHdm/J+mPXOHnTn4DwOOatP4qhvi592pS8b4Z3UtStZdtPExgZz97zXhy85MOEni4q6fLz84lLTld5PaSno0W3FvX4377z3PALJSQmid8PXiY0OpERnZo/Ud6f1KQOLdl7y4edNwrq1uHTxKSmMaa1+n08wKkhBjrafLb3KHej4/j3tj9rzl9jUvvC+AY5NWKnmxeHvHwJTUjisJcfO254Mq1jqzLNe0km12/H3iB3dgTeJCAllgW3jhGTkcLYOuq//35aAnuDPbiTFEV4ehInI/w4cN+LVlY1lGmcLasRmZ7M+rtXCE1PxD0+jI3+13Cq8mJPfA0f0oot269w9rwfQUGxLFl+CEMDXXp0K/mYtWL1CbZuv8Id3wjCwxPZsOkCfncj6dihsFPRp1czzM0N+XLebry8w4iKSsbLOwxfvxfzQ3zIB/3YvnQf5/dcIcg7hGWTVmJgYkC3sR0fu25idBIJUYnKV94jo0dNOjTgzuW7HN90lqjgGG6d8uL4xjM0bFO3lC2+WJ3bwawZ0KsLaL6Ev/DG9GzB34evcurGXQLC4vh2bcExqm3J7eDQLs2JSUzl+y2nCIqIZ99ZTw5e9GF8r8J2om+HRmw4fI0LHoGExSSx+7QHFz0CGd+rsJ6+/+MeDpz3JiAsjoCwWOatOYK5iQHN69qXa8wPjX69BRsOFxyfw+L4dk1B7O1KPz7/sPkUh877kFyBo/7TGrZh9z1PtgW4E5AcxzfX/yM6I5Vx9VuoTR+cmsDue57cTowmLC2Z42H+7AvyprV19WJpl7bty+5AL9xiS565I0RJXsJmrnKytzHDysKYq+5BymVZWTncuh1KswbP10h2al0XT99wZk3pxj9r3mLTT5OYMqI9Wlplu/scLM2wNjPi0u1g5bLM7Fzc/ENxrl1yDE61qnLpTrDKsku3g2lcwxbtEo6kbepXp6ZNFdz81Tdcmhoa9HKpj6GeDu6BTzd9tTQ6mpo0qWrLhXuq+b1wL5gW1cr2YGakp0Pygxd34LG3NsPK3Jgrno/uvxxu+YbSrF7ZxqajrYWujhYpaZlPlF5bS5NG1Wy56FuknPgG41xTfd6a16yK270wMrMLRxYv3gnG1twYh4Lp581rVuVSkW1euBNM4+qFZU9dmot3gmhe5Hu/HtmD/9zvctVf/ZTRooz1FaNWyemP/x84WBXULZ8idetuKE6l1a3aVbnsU+R/5hNMI0fVuqWnq82hRVM5smQav7wziAbVC0chtDQ10dbSJOuR/yPAg+wcnMvwB5yOVkHd8i+yPwKCaVFd/fc4V6vK9fthZD4yenzePxhbU2MczBX7WFdbi6ycnGJ5b+ZgV2L7UlZ0NDRpYl6V81GqlwhciLpHC8tqJaylqoaRBa/Z1eFaTOH/xS02BGsDE7pWVXT+LHQN6Fe9CWci/EvaTJmrameGpaUx128UzjLJysrBwzOUJo2frkNtaKhHyiMnwVw71MPLO5T33+3J7m3v8teaqUx8w7XMj1nq2NWywbKqBdf/dVcuy3qQhefZ2zRu3+Cx66+89h3bwv5g2X9f07xLE5XPvM7fpo5zTRq1Vew36+pWtB/QiqtHbpZtEK8oh4fHKC/VY9RN31CcSmmLmtWpyhVv1XblslcQjWvaKsuUjrYWmdmq7URmdg7NSzn2GerroqWpSXJ6+R+nHx6fLxeN3a/02F8GOpqaNK1ix7kI1Rlp5yMDcbF6snbQ0diCzva1uRJ9X2X5+HotsTYwYoXXhTLLb2Wkkf/yvCqbCrlG9sKFC8ybN4/bt2+jpaVFvXr1+PXXX9Wm/eeff/juu+/w9/fH2tqayZMn89FHH6GhoZjO16xZM8aOHUtgYCCHDh3CyMiI9957j/fee0+5jaSkJL7++msOHTrEgwcPcHJyYtGiRbRoof5M0rOoUjBFLyEpXWV5fGI61lWMn2vb9rbmtGxqyn/n7/DJkj1UtTZj9rTuGOjrsnLjmefa9qOsTA0BiEtRjSEuJR0b85JjsDI14sod1cYpLjkdHS0tzI0NiE1WXPNlrK/Lv4umo6OtRV5ePkt2nOSCT5DKenXtLdnw0Wh0tbXJyMxi9poD+D/m2pmnYWFogLamJrFpRWJMS6eDsWGZfc/YVs2xMzFhv+eLu47P0lyR//jkImUwKR1ri+crg0W9NdyVjMxszrmpv860KHMTA7S1NIlXU7ba1Vf/f7c0NSIqMaVYegBLEyPC4pOxNDHisp9q2YtPUS17ViZGasv0w/IOMKxdU2pYmfPF5qNPFI+2liYfDerMGfcAohPVj9KrxlLCvkkuvW5Zmhpx5XaR+IrUreDIBL7d8B9+oTEY6esyplsL/vxkFKMXbiIkOpH0zGzcA8KZ1qct/uGxxCWl07t1A5xqVyUkOvGJ4n0SFoaKfRxXtG6lpmNVW/0+tjY2IjK5yD4uWN/a2IiwxGTO+wczrGUT/vXxxys8iqb2tgxv2RRdbS0sDA2ISS2/a0ot9AwV7UWR61ZjM9Nor196ndrWdRJNzKuip6XN9ntu/OB1UvnZrfgwZl/Zww9thqCnpY2OphbnowL49Nr+colDnSoFx6WEBNXYEhLSsLJSPxVcncEDWmBtZcx/x72Vy+yrmtPS2ZETJ334/Ktd2Nma8cHMnhjo6/LbmlNlE0AJqtiZA5AQpXrpTUJ0Ilb2Jc+eiI9I5Je3/8D3WgDautr0eKMTy45/zcddv8HznKIdP739IqaWJvxwZj4aGqCto81/G86w9tNN5RbPq+RhOxinph0s7RhlaWbENZ/i7aC2tqIdjEtK47JXMGN6tsTNN5T7UQm0blSDri3rolnKpR8fje2Cb3A0nv4RzxHVk7E0KzgGFP2NmJSOTRkfn8uash18oNpWxGSk4WpXs9R1d73+Bk2r2KGnpc3WuzdZfuu08rMG5tZ80KwjQ479TZ5cIyqe0QvvyObk5DB27FjeeOMN1qxZQ3Z2Nu7u7mhpaRVLe+vWLSZNmsTHH3/MyJEjcXNzY9asWZiYmPDmm28q061atYoPPviAOXPmcO7cOebMmYOjoyMDBw4kPz+fUaNGYWpqyvbt27GwsGDLli0MHDiQa9euYWdX/Dq5J/F6x4Z88mZP5ftPluwFil+vraEB+TxfBdXQgITkdJb+/i95efn43ovG1ESf9yd2fa6ObN9WDflyTHfl+/dW7wMU0xRVv1/jsdehF/244DyDyrbSMrMYtWQThnq6tGlQnY+GdiY8LpmrfoUjYEFRCYxasgkTQ326O9dl/hu9mPbLTgIec0Ocp1UsnieI8Um93rAuc3q8xuw9hwlPevIbAT2tXh0a8tnkHsr3s3/YB6jbf8X3z/MY9XoLhnRrxszvdpP2IOup1i3+by/9/66uPhXdUvF9+XD5I2lK+d6a1ha818+VSb/uICe3+E0oitLS1GDJ+D6YGOgxe4X6jkefNg2ZO7awbr2/cl9BPtTUrcd8X7HPH8ZX8IlHYAQegYU/xNwDwtn65XhGd3Fm+Y7TAHz111HmTXidY9/NICc3jzsh0Ry75kvDGjaP+fanV3yfPWYfF3mvoVyu+GTVmctYGRuyddooNNAgLi2dfe4+TO/Ymtz8x++vslFkv6Hx2JtzfHh5D0baujQ0t+XTZj2Y0cCV330Vow51TKz4yrkXK2+f43xUANb6xsxp1oMFLv2YU06d2R7dGjP7g8Kbgn3+peKGdcXLl0axNqQknTrW583pXVmw+B+iopMf2YQGCYnpfP/zUfLy8vG7G4WpqQHvvNWtzDuy3cZ25MPfCn8PfNl/ieKPou0gpZfDUL9wQh+5ed3ty37YOVoz4qOByo6sU6fGjPtyOL++u4bbV/xxqGvHOz9PZuK3o/h73vayC+oV0btdQz6fUHiMmvXzPsUfao5Rj2sIi7WdhQ09AD9sPcXciT3ZvnAi+fkQFpPIgQveDHBtUnRTAHw4qjPO9RyYvmR7uXSierVvyOcTH4n9p33q4yjj43N5epbfhu+d34eRti6NLGz5vGVX3mrSntXel9DV1OJ/roNYfPMkoWllf78X8f/HC+/IpqSkkJSURO/evalVqxYA9evXByA6Olol7cqVK3F1deWLL74AoG7dugQEBPDLL7+odGRdXFz4+OOPlWnc3NxYtWoVAwcO5OzZs3h6euLv74+BgQEAX375JUePHmX79u188MEHzxTH+esBePsXXu+jq63oiFcxNyQ6rrDzYmFmSEJierH1n0ZcYho5OXnk5RW2GMGh8Rjo62BuakBisvprax/ntGcAnkGFP4B1tRXFwcrUiKhHRpmqGBsUG0l7VGxymsroFkAVE0Oyc3NJeuSajvx8CIlVNFi+YTHUsqvC1F5tVDqyObl5BWmS8LkfRZMadozv2pJvt/z3TDEWlZCeQU5eHtZFRl8tDQ2KjdI+i9cb1mXZ4N58uv9Yud+x+JybahnU0VGUQUszI6LjC/efhakh8UllM2o16vUWvDnclVnf78Hn3pNf75aYkkFObh6WJkXKibFBsdHSh+LUlStj1VkDcSnq0zxa9mJT0rAq5XudalalirEhe+ZMUH6uraWJS+1qjOjgRNtPV5Cdq5j6qqWpwdI3+lKvqhVTVu5UKd+POuMegNcjnUudgrplaWpEVMIj+8bEoNjoxGP/Bw/rVgnXM+fl53M7OIoaNubKZaGxSUz/cSf6utoY6+sRm5zGd9P6EhZbdj8gEtIV+9iqSN2qYmRQbJT2oZjUNDXpFe9jUxXrZObkMnf/f8w7cAJLY0NiUtIY2aoZqQ8ySUh/trbvSSVkppOTl4eVnuqIiaWe4WPvLhyZoejYBaTEoqWhySKX/qz1u0hufj5vNXTFIz6cdX6XAPBNiiYj5whbu07iR69TynXL0oVL/vjcKeyo6eooymQVCyNiYh45ZpkbkpD4+PaiU8f6fD6nP0uWHyp2x+L4+NTix6z7cRjo62JmZkBSUtntt0v/XOfOlcLv19FTxGVhZ07MI08MMLcxIyEq8am2ffvqXbqOclW+n7RgNKe2nefIOsXoepDXffSN9Ji95i02zt9J3hOcCPv/5OytALzuFf+dZGlWtB00JC655DIXl5SGpZnqjeksTA3IycklsaANTkzJ4JMV/6CrrYWZsQExianMHP4a4WrauFmjO/N6mwa8tWwnYTHl04k6dzNA5eZMj8ZeXsfn8vKwHbQ2UG0HrfQNi43SFhWRrmhb/JPj0NLQ4Lt2ffnD5zLWBsbUN7dmWbt+LGvXD1BcUqapocHdMZ8y5dQOzkWW/RMrXlqV5WzGS+iFXyNrYWHB2LFjGTZsGCNHjmTFihWEhqq/fbevry9t27ZVWda+fXvCw8NJTi480Ldu3VolTevWrblzR3GLf3d3d9LT06lbty4ODg7K1+3btwkMfPZKkv4gm7DIROUrMDSO2IRU2jg5KtPo6mjRvKEDnr7Pd42n551wqtmZPzIaBdXtLch4kP3MnViA9MxsQmKTlK+AyDhiktJo17DwpiS62lq0qOPArXslx+ARGEHbBjVUlrVr6IjP/Shy1Nxm/SFNDQ1l415yGh6b5mlk5+XhHRFFh9qOKss71HbkZujz7ac+jeuzfHAfPv/nX47dvvtc23oS6Q+yCY1OVL4Cw+KITUylTVPVMujcwAHPu89/nfGY3i15a4Qrs3/Y+9SP3cnJzeN2aBTtG6j+39vVd+RWkPptuQdF0LK2g8r+b9+gBlGJqYTFJyvTtKuvWvbaN3DEJ6Sw7LkHRdCu6Pc2cMS94HtPeQYwdOkGRn6/Sfnyuh/J0Zu+jPx+k7ITq62pyfIJ/ahvb8XUVbtK7IBDQd2KSVK+7kUU1K1GRepWXQc8Sqtb9yJo07BI3WrkyO3g0utWPQcrYtX8OHqQlUNschomhnq0b+zIGfeyO9mSnauoW651VP/XrrUduRmiPsZboRG0qqG6j13r1CAqOZWwRNXOXE5eHlHJqeTl59OvaQNO+wWW+xMLsvPz8E6MwNVW9Q7JHWxrczOu5Ee5FKWJBloammhqKA65+lo65BbJ/MPR5Se7B/bTy8jIIjw8UfkKCo4lLi6VVi1rKtPo6GjRrGk1vH1Kv+lKl04N+eLT/iz9/jBnz/kW+9zLOwwHewvVY1a1KmQ8yCrTTixARuoDwgMila9gn1DiIhJw6Vl4gzEdPR2avtYQn0vF81qaOs1rEReRqHyvZ6hXrLOal5uHSqBCqegx6l54wTGqySPHKG0tnOs74OFfcjvoGRBBm8aq7WDbJo74BEWRW2R/ZOXkEpOYipaWJt1c6nHmpurlLx+N6UKvtg15e/kugiMTyiBK9UqKvW2TIsfnx8T+MsjOy8MrPpKORaYRd7SrxY3Yp2gHNRTtoJaGJlHpKfQ6uIZ+h9cpX5vv3iQwOZ5+h9c91XbF/28Vco3sqlWrePvttzlx4gRHjhxh4cKFbN68GV1d1Vv+5+fnK6+FLaqk5UXl5eVhY2PDkSNHin1mYvLk1wE9iR2H3Jg4tC3BYfHcj0hg0rB2ZDzI5r/zhddJfjmzNwALVxRei1evpuLGLEYGeuTnK95n5+QSFBoPwN5/3RnW25kPJ3dj99Gb2FmbMnVkB/b+e6tM8w+w+ZQb03q1ITAqgeDoBKb3bkt6VjZHrhc++2/BG4rpaV9tVDzLbOd5D0Z3cuaTYZ3Zdd4T59r2DGzbmM/WH1auM61XGzyDIgmNTUJXW4uOTWrSr00jlu48rUzz/sCOnPMOJCohBUN9Hfq0akiretV577d9ZRrjX5fdWDa4Nx5hkbiFhjOmpRM2JkZsu6F4Jt3sbq442dsxadNu5Tp1rKqgo6W4Js9IV5eGtop9didK8ZiWvk3qs2xQb5YdP8e14FCsCkaVsnNzSXrwZDdEKgvbjt5k8qA2BEfEcz8ygSmD2pL+IJtjlwr337w3FWXw298fKYM1HpZBXfLy86lXw5qcnFwCwxVlcHzfVrw1wpV5q49wPzKBKgXX+2Rm5ZCW8WTTizecdmPxuN54BUdyMzCcka5O2JgZKZ/5+n4/V5rVsGP6asX//bDbHd7q1Y4FY3qx5r8rOFpbMKV7a347dlm5zZ0XPRjT0Zk5gzuz86InLWrZM6h1Yz7dWFj2Np+9yV8zRzK1e2tOePrTvVldWtetxqT/7QAg5UEmKZGq+ygjK5uk9Af4Fzw/WUtTg+8n9aNJdTveX7ef/Px8LE0M0daB1IxMlRtSlWTLCTem9mlDUKSibk3r05aMzGyOXC3cN/MnKerW1+sVdWvXWQ9GdXHm4xGd2X3Ok+Z17BnQvjGfryuMb0a/dngGRnA/OlFxjWxXZ+pWs2Lx1hPKNO0bO6KhoUFQZDzVbcz5cOhrBEUl8M/Fwusay8L6i24sHVpQt+6HM7q1E9YmRmy7VlC3erjSzMGOyX8r9vFBjzu827kdSwb34rezV6hpacH0jq1ZeaZwH9e0NMfJoSruoRGYGugxqb0L9Wws+Wzvi3mW4l9+l1nWZjAe8WG4xYUyunZLbAxM2HrvBgAfNe2GUxV7Jp5VXCc5qEYzMnNz8EuOJjsvl6YW9nzUrCvHwm6TnacoJycj/Fjo0p8xtV2UU4vnNu+FV0IEEeUwGluSXXuvM35Me+6HxBMSFs8bYzuQ8SCL4ycLj1mff6IYLVmy/BAAXbs04os5/fjtj1O4e4ZgYaEYKcvJySUlRTE6tv/gTQYPbMnMt3uw7x837GzNmPRGR/YfeDE3Rdr7yyHGfDGUkDthhPpFMHbuMB6kPuDklvPKNHPWzwRg2aQVAAz5oC9RQTEEe4egratN9/Gd6DikDd8OW65c5/LB6wyb1R+/6wHcueKPfV07Js4fzZWDN16a0di0dHj42Oa8PAiPgtt3wcwU7G0rNm8AW/+7yeT+BceoqASm9Fe0g8euFLaD30xTHKO+Was4Ru057c7I7s7MHtOFPac9aF7Xnv6uTZj7e2E72KS2HTbmxviFxGBtbsyMQe3R1IQNR64r08wZ340+7Rvxya//kJL2QHnNbnpmNhmZ2eUe+7Z/bzJpQBuCHh6fB7Yl40E2xy4/Evv0gtjXPPnx+UVYe+cqP7YfgHtcBNdjQhlXrwU2BsZsuauo0584d6a5pT3jT2wFYEitpmTm5nAnMZrsvDycqtjxiXMXjty/Q1ZBO+iXpPq86rgHaWTl5RZbLkRpKqQjC4qbNDVr1owPP/yQ4cOHs3XrViZOnKiSpmHDhly+fFll2aVLl3BwcFDphF6/fl0lzfXr12nQQHF3wubNmxMdHY2mpiY1a9Ysn2AKbN5/DT1dbWZP646JkT4+/hF8uHAX6Q8KG0hbq+LP3Fq/fILK+46t6hARncTwdxUPhY6OS2HWwt28N7EL65e/QVxiOodOebF+9+Vi23pe649fR19Xm89HdsPUUA/PoEjeXrGH9Eca+apVVE8AhMclM3P1Xj4e1rngUTxpLN11mhO3Cqd7GejpMHdUN2zMTcjMziEoKp6vNhzj6I3CM+RWpoYsmtgbKxNDUh9k4RcWy7ur96rcRbksHPHxw8JAn7dfa4ONsRF+MXHM2LpPeT2rtbER1S3MVNb5Y8xgqpkXLts/YzwADRb8BMDolk7oaGkxt1cX5vbqokx3JSiECRt3lWn+S7PxkKIMfjKxW8HD5iN5f9lu1TJoWfwEzqZFb6i879SyDuExSQyZvQ6AYT2ao6OtxeL3+qukO3jOmwV/PFmH4tgtP8yN9Jn+ehusTY3wj4jj3T/2EZFQ8H83NaKaVeH/WPHIm918MawbW2ePJTkjkw2n3dhw2k2ZJiw+mXfW7GXO4M6MdFWUve/2nua4R2HZcw+K4NONh5nZpwPv9G5PSFwic/4+jOf9J58abWtmQrdmikdsbP9onMpn8/4+xoFLPo/dxt//KurWp2MUdcsrMJJ3/qdat+zU1K33VuzloxGdCx7Fk8ay7ac5ebMwPhNDPb4c1wNLU0NSM7LwDYlm+vc78Q4qfDyXsYEeMwe7YmtuTFJ6Jidv3mXlvguljuo+iyPefpgb6vN2pzZYmxhxNzqONzer1q0aj9St1Mwspm7YzVf9urFrxliSHmTy1yU3/rpYuI81NTSZ1KEltSwtyMnL40pgCGPWbi82YlteDof6YK5rwNuNXsNG3xi/5Bimn99KeLpiSqK1vjHVjSyU6XPy83izoSuOxlXQ0NAgPC2JzQHX+cvvijLN3mAPjLX1GF+nNZ859SQl+wFXYoJZ5nn8hcT00LYdV9DT0+aDmT0xMdHn9p1wPvl8BxmPnJyysVE9Zg3s54y2thYz3+nBzHcKrwG85X6fWZ8ofsTGxKTwyec7eOfNbqxZPYn4hDSOHPNg45aLLySu7cv2o2ugy8wV0zCxMOLOFX8+67WQjEem49vUUH0+uY6uNjOWT8DKoQqZGVkEe4cwt99ilTsSb164m/z8fCbNH41VNUuSYpO5fPAGf83d+kLiehLevjDxw8IT/Sv+UrwG985nyecVmLECG44ojlFzxnfDxEhxjHrvB9VjVLF2MDaZD3/ay6wxnRnWxYmYxDS+33KKUzcKZz7paWvz1lBXHKzNyHiQzQXPQL5ee4TUjMKTlCO6OQOwes4Ile3/sf8Sa/ZfKodoVW04XBD7GwWxB0Ty3vePPz5vnl/k+NyiDuGxSQz+eF255/mhQ8G3sdA1YGbTDlgbGOOXGMOU0zsIS1O0wzb6xjgamyvT5+Tl8XaT9tQ0sUADDcLSktjod4N1d669sDxXJpXxbsElyczM5Msvv2T37t08ePCATp068cMPP+DgUPLd8P/++2+2bdvG7du3ycvLw8nJiblz59K+ffvHfp9GYmLiC/33BQUFsX79evr06UPVqlUJCgrizTffZMqUKbRr144BAwYQEBCApaUlt27dolu3bnzyySeMGDECNzc3Zs+ezVdffaW8RrZZs2YkJiYya9YsBg0axPnz5/nkk09Ys2YNgwYNIj8/n759+5KUlMS3335LvXr1iI6O5vjx43Tp0oUOHTqo5K/vtLUv8t/xwqTZvnpPWsp4Cc4ulwdzv1eoRXtEhtWrN/1Ou3wv0aww6a9o3cpr9vg7TFc2Dn/oPj5RJaR9/PrjE1VCx8LdH5+okmn7xVsVnYVyofFyDLKXuZieL26W2It0q/87FZ2FZ9Z/0pqKzoLSwfXTn2v92bNnc/jwYVavXo2FhQVz584lKSmJM2fOqL2xL8D06dNp3bo1bdu2xdDQkFWrVrF9+3bOnTtHnTp1Sv2+Fz4ia2hoiL+/P5MmTSIuLg4bGxtGjBjBhx9+WGz01dnZmfXr1/Pdd9/x448/YmNjw4cffsiMGTNU0r3zzjt4e3vzww8/YGhoyBdffMGgQYMAxRTkHTt2sHDhQj744ANiYmKwsbGhbdu2jBkz5oXFLYQQQgghhBAqXpHHDyUlJbFx40ZWrlxJ165dAfj9999p1qwZp0+fpnv37mrXW7NGtSP/448/cujQIY4fP/7ydWRtbGzYtEn9M9dee+01EhMTVZYNHDiQgQMHlrpNY2Nj1q0reYqFiYkJS5cuZenSpU+dXyGEEEIIIYQQJbt16xbZ2dl069ZNuaxatWo0aNCAK1eulNiRLSorK4sHDx5gbm7+2LSv3nxTIYQQQgghhBAvTHR0NFpaWlhaWqost7a2LvaI1dIsXLgQY2Nj+vTp89i0FXazJyGEEEIIIYT4/+xlv9nTwoUL+f7770tNc+DAgRI/K+0pNEWtXr2a9evXs2/fPkxNi98gt6hK35H19PSs6CwIIYQQQgghxCvn7bffZuTIkaWmqVatGteuXSM3N5e4uDisrArvDB8bG1vs5rrqrF69mkWLFrFz505cXFyeKG+VviMrhBBCCCGEEKLsWVpaFpsurI6zszM6OjqcOnWKESMUj7kKCwvD19eXtm3blrruihUrWLJkCTt27Hiix+48JB1ZIYQQQgghhKgIL/nU4idlZmbGG2+8wddff421tbXy8TtNmjShS5cuynQDBw7ExcWFefPmAfC///2PBQsW8Mcff1C3bl2ioqIA0NfXx8zMTN1XKUlHVgghhBBCCCHEc1m8eDFaWlpMnjyZBw8e0KlTJ3777TeVZ8gGBgbi4OCgfL9mzRqys7OZPHmyyrbGjBnD6tWrS/0+6cgKIYQQQgghhHgu+vr6LF++nOXLl5eYpuj9jZ7nfkfSkRVCCCGEEEKICvCy37X4ZSbPkRVCCCGEEEIIUanIiKwQQgghhBBCVIQ8GZJ9VjIiK4QQQgghhBCiUpGOrBBCCCGEEEKISkWmFgshhBBCCCFERZCZxc9MRmSFEEIIIYQQQlQq0pEVQgghhBBCCFGpyNRiIYQQQgghhKgA8hzZZycjskIIIYQQQgghKhUZkS0irG9uRWehXOiFvHrnLGxu5FR0FspFjPOrWS018io6B2Uvw6aic1A+zAJezdPDRtf0KjoLZS78NZ2KzkK5yBzUrqKzUC7aftG+orNQ5q4s/q2is1Au6v/9dkVnoVw0nJ9U0VkoH/0rOgPPIf/VPOa+CK9e70YIIYQQQgghxCtNOrJCCCGEEEIIISqVV3MOoxBCCCGEEEK85ORmT89ORmSFEEIIIYQQQlQq0pEVQgghhBBCCFGpyNRiIYQQQgghhKgIMrX4mcmIrBBCCCGEEEKISkU6skIIIYQQQgghKhWZWiyEEEIIIYQQFUAjX+YWPysZkRVCCCGEEEIIUanIiKwQQgghhBBCVIS8is5A5SUjskIIIYQQQgghKhXpyAohhBBCCCGEqFRkarEQQgghhBBCVAC52dOzkxFZIYQQQgghhBCVinRkhRBCCCGEEEJUKjK1WAghhBBCCCEqgswsfmYyIiuEEEIIIYQQolKRjqwQQgghhBBCiEpFphaXo/ENnXmzaRtsDIzxS4xl/tWTXIsKVZu2rpklC9r3pK65JaY6ekRlpHLg3m1+vnWB7LyKe1Ly2FZOTG3fCmsTI+5Gx7H43zPcuB+mNq2ulhbf9utOk6o21LaqgltIOBM27FJJY21sxKc9O9Gkqg2OVczZ73Gbz//590WE8kQmj+7AwNebY2Kkh8/dCH78/ThBIXElpu/Urh6DejtTv5YNurraBIXEsmHnZS5cCyj3vI5p7cTUDop94x8dx+KjJe8bgPo2lnzVtxvNHOxIynjA9hserDpzRSXN2NbNGdemOQ7mZkQkJfPbuavsd7+t/FxbU5MZr7VmcPPG2JoaExibwPfHz3HeP7hM45rSsRXWxkb4x8Sx5MgZbgSXHFc9G0u+6l8Y147rHqw6rRpXv2YNmNqxFTUtLUjNzOLSvfssP3aW2NR0AP6ePJw2taoX27Z/dBwDVmwos9geNbalE9PatsLG2Ii7MXEsOn6G66El160FvbvT2M6GOpZVcAsNZ/yWXWrTArhUs2fTuBHci4un39qN5ZL/R80Y2J4hnZphYqiPd2AESzef5F54yfUGoGX9aswa1Zna9pbEJKay8eh1dp/xUEkzunsLhndpjp2lKUmpGZy5FcCvu8+RkZkNwIiuzRna2YmqlqYA3AuPY93BK1zwDCyXOCeNc2VA7+aYGOvh4xvBz6v+I+h+yXG+1qEeg/o6U6+OLbo6ivZh47bLXLzir0zTpWMDxoxoi0NVc7S1NQkNS2DnvuscO+FdLjE8aqzLI+17TByLj53hRshj2ne7R9r3japlsHUNB2Z360gtSwsMdHQIT0pm500v/rx8o9xjedT4ps15s0VrbAyN8IuPY/75U1yLUB9XO/tqTHV2obmNHSa6egQlJfKnhxs7b3upTd+qqgPbBo8kICGeXtv+Ls8wmD6oPUM6F9SrexEs2/Rk9erD0Z2p7WBJbGIqG45cZ8/pwnqlpaXJ5L5t6OfaGGsLY4IjE1ix8xyXvIKUaSb1bU1Xl3rUsLMgOycXr4AIVu4+T0BY6d9dnq65w1/bwNsPomM1WPxZPkP6VFh2HmtcCyemtSlo32PjWHjiMe17r+40sS1o38PCGbe1ePuuo6nJOx3aMrhJI2yNjYhNT2ft1RtsuHGrnKNRNW5mD/qMaoOxqQG+7iGsnL+P+/7RT7RuExdHlm6YQci9GN4e8LNyeY26NrzxXk/qNLGnanVLNv16nM0rjpdTBC8huWvxM5MR2XLSv1ZD5rXtzkqPy/T9Zz03osNY33M49kYmatNn5+Wy29+LCcd20G3PWuZfOcnI+k581PK1F5zzQn0a1+eLXl347fxVBv+xmZuh4awZO5iqpupj0NLUICsnl03X3DlzV/0PSV0tLRLSM/jjwjXcwyLLM/tPbeyQNowe1Jqf15xg+iebSEhK56dvR2Kgr1PiOs5NquPmEcychbuZMutvLt0IZNFng3Fq7FCuee3TpD5f9O7C7+euMuS3zdwMCeeP8YOpaqZ+3xjp6bJuwjBi09IZsWYLi46cYmqHVkxu31KZZnQrJz7q2ZFVZ67Qf9UGfj19ia/7dqNr/drKNB9068DoVk4sOnKafis3sO26BytGDaSRnXXZxNW0Pp/37cIfZ68ydPVmbt4P5/fHxTVxGLGp6Yz8fQuLDp9iimsrJnUojKtFDXuWDuvN/ls+DFixgfe2/kNd6yosG174K+j9bQd4bdnvylf3H9aS+iCTI15+ZRJXUX0b1efLHl347eJVBv25GbewcNaOKr1uZebksumGO6cDSu+kmerrsbx/by4F3S+PrBczsXdrxr3uwvItp5i4cDPxyemsnD0MQ72S6429lSm/fDAED/9wxs3fxPrD1/hkTFe6taynTNOrTUPeH/4afx66woiv1jPvz6O4NqvFx6O7KtNEJ6Ty665zjF+wmQkLN3P9Tgg/vDuQutWsyjzOMcPbMGpIa3757ThvfriRxKR0flg0CgMD3RLXcW5WHTf3+3w6bxfT3lvP5Wv3WPjlYJyaVFOmSUrJYOO2i7wzexNT3lnPkeNezPmwD21b1S5xu2VB2b5fuMrgNYo25Inbd3/1ZTA9K5uN124yfsNO+v32N6vPX+G9zu0Z6+JUnqGo6F+3AfM6dmXljSv03bGRG5HhrB8wFHtj9XG1rGrPnbhY3j56gNe3/c1mL3eWdOnJwHoNi6U11dPjx+69uRha/nVrQp/WjOvlwvLNp5i0YDPxKems+HgYhqUcj+ytTPl5lqJejf9mE+sPXeOTsV3p6lJYr94e4srQrk58v+UUo778mz2n3Fk2cyD1axS24S0bVmfXKXemLd7G28t2kZOXz8qPh2NqpF+uMZcmPQPq1YIv3gN9vZf7R3/fhvX5snsXfrt8lYHrFe37uhGDqWpSevu+0a309v2ngX3pVKsmXx47Ts81f/PevkP4RseWVxhqjZjemaFTXmP1gn/4YPgKEuNTWfzXNAyMSm4HHzI2NeCjpSO5dan4iX59A12iwhLY8PO/RJQyeCBEUdKRLSfTmrRi110vtvl5EJAUzzdXThCdkcb4hi3Upg9OSWSXvxe3E2IIS0vmeIg/+wN8aGNbTW36F2Fy+5bsdfdh500v7sXGs/DoaWJS0hjTSv2PkozsHOYdPsEON08ik1PVpglLSmbRsdPsdfchKeNBeWb/qY0c4MKm3Vc4c8mPwPuxLPrlCIYGuvTs1LjEdf637iSb91zl9t1IwiITWb/9Ir4BUbzWtl6J65SFSe1bsveWDzvdCvbNkdL3zYBmDTHQ0eazvUe5Gx3Hv7f9WXPhGpPauyjTDGreiJ03vDjk5UtoQhKHvfzYccOTaR1bqaRZc/46Z+4GEpqQxLbrHpy9G8jkDi7qvvapTezQkn03fdh5QxHXosOniU1NY3TrEuJyUsT1+R5FXP/5+LP2/DUmPZIf5+pViUpO5e9LNwlLTMY9NJJNV27h5GCnTJOUkUlsarry1dLRAQNdHfa4qR+VeV5T2rRkj6cPO9y9CIiLZ8F/p4lJTWNsi5Lr1tfHTrD9lieRKerr1kNL+vZkj5cPN8MiyiPrxYzp0YK/j1zlpNtdAsLj+ObPYxjq69K7bfGOwEPDOjcnJjGV5VtPERQRz75znhy85MP4XoX7rXldezzvRXL48m0i4pK5fieEQ5d8aFq7cL+duRXARa8gQqMTuR+VyKq9F0jLzMapdtUyj3PE4FZs3nmZsxf8CAyOZfEPhzE00KVHl0YlrvPr7yfZsvMKd/wiCYtI5O8tF/Hzj6Jj+8L24ab7fc5f8ud+aDzhkYns3n+De4ExODUt37Z/crsi7fuxJ2zfb5bcvntHRnPY2w//mDhCE5P5x/MO5+8F4VKjfE/sPWqaswu77nizzceTgIR4vjl3kui0NMY3ba42/aobV/nhygVuRIYTkpzEJm93jt67S586xdvwZV17sdvXB7fI8PIOgzE9W/D34aucunGXgLA4vl2rqFe9SqlXQ7so6tX3Wwrq1VlPDl5UrVd9OzRiw+FrXPAIJCwmid2nPbjoEcj4XoXt/Ps/7uHAeW8CwuIICItl3pojmJsY0LyufbnGXJrO7WDWDOjVBTRf8l+uU1q3ZI+XD9sL2vf5xxXt+7jS2vd/T7DdveT2vWPNGrjWrMG0XXu5EHSfsORk3CMiuRKifpZfeRk8wZWdf5zmwr9eBN+N4odPd2BgpEeX/s6PXffDRcM4vteN27eKnwjy8wxl7bLDnD7oTmZGdjnk/OWmkf/yvCqbl7w5qJx0NDVpamnHufAgleXnwgJxsXmyA7qjiTmdq9XiSmRIOeTw8XQ0NWlS1ZYLAapTRi/cC6ZF9Yo7mJWXqrZmWFYx5tqtIOWyrKwc3L1DaNrw6eI1NNAlJbX8Ouk6Wpo0sVezbwJK3jfO1atyPTiMzJxc5bLz/sHYmhrjYK6YlqmrpUVWTo7Keg9ycmjmYId2wS+HktK41Hj+MqGjVUKZ8w+mRQnbd65elRv3i8R1VzWum/fDsTI2oksDxQiXuaE+fZs14OzdoBLzMsKlKefuBpX4g/156Ghq0sTOlvOBqnGeDwymZbXn+z+ObemElZERqy5ceXziMuBgZYaVuTGXvQtjyczO4aZfKE6l/OhtVqeqyjoAl7yCaOxoi5aWoqzduhtGg+rWNC3olNpWMaGzc50Spw1ramjweusGGOrp4B5Qtp34qnaK9uG6W5ByWVZWDu5eITRt9HSdtMe1Dy2b16B6NQs8vMqv7Ve27/fUtO/PWQYf1cjOmhbV7LlWyqUBZUlHU5Om1racC1GN61xIMC52Tx6XiY4uSZmZKsvGN22OtaERv16/XCZ5LY2DtaJeXfEqUq98H1+vrhSpV5e9gmhcs7Be6WhrkZmt2oZnZufQvF7J2zXU10VLU5Pk9Jfr5PPLSEdTk6bq2vegYFo6PHvd6lmvLh4RUUxp7cL5d6ZxfPokvureBUOdkkfoy5pdtSpUsTHF7cJd5bKszBy8rgXSuIVjqev2G9sOCysTtq0+Wd7ZFP/PvDLXyObn57NixQr++usvQkNDsbKyYtSoUcybN49vvvmGgwcPEhoairW1NUOGDOGLL75AX798pslY6BmiralJbEaayvLYjHRc7Y1KXXd3v3E0rWKLnrY2W3zdWXbjbLnk8XEsDA0UMaSlqyyPS0ung5FhheSpPFmaK/ZLfKLqPotPTMfa0viJtzOkTwtsrEw4dtqnTPP3qIf7Jk7NvrEyVr9vrI2NiExOKZb+4WdhicmcDwhmWIsm/HvbH6/wKJra2zK8ZVN0tbSwMDQgJjWN8wHBTGjXgqtBoQTFJ9C+Vg16NqqLlobGc8dlbmiAtpYmcanF42pfQlxWpcVloojrVkgEH+86zPJhvdHT0UZHS4sL/sF8vueo2m3WtDSnTa3qvLtl/3PHpE6p+6/ms9et+taWvNexHSP+3kbeC7rextJMkd+4ZNVY4pPTsTYvud5YmhpxNVn1rHx8cjra2lqYGxsQl5TGv9d8MTPWZ82ckWgA2tpaHLrow/92nVNZr46DFX99PhpdHW0yMrP4eOU/BISV7XS7Khbq24eExDSsLNVPF1RncP8WWFuZ8O9J1etfjQx12bXxHXR1tMjNy+fnVf9x5Xr5XOcLj2nfS6hrT+PMB9OoYmiAlqYmK89eZpubx+NXKgMW+gVxpRc59qan4VqtxhNto5tjbTpUq8HwPduUyxpUseKD1u0ZsmvLC6lblqal1CuLUuqVmRHXfEqvV5e9ghnTsyVuvqHcj0qgdaMadG1ZF03Nktvwj8Z2wTc4Gk//FzPLozIrqW7FpqXTwfHZ61Z1czNaVbMnKzeHd/cexFRfj697dMXWxJiZ+w4+b7afiIW1ouwlxKoecxPjUrG0MS1xvZr1bRn3bndmjVpFXl4lHPITL7VXpiM7f/581q1bx6JFi3B1dSU2NhYPD8XB09DQkBUrVlC1alV8fX2ZPXs2urq6fPnll+Wap6LVVUODx17QPfP0Pxhp69K4ig2ft+7C283assrzxYyuqFM8txqvxOOuenZqxMdvv658/+nC3WrTaWg8+TX4ndvX551Jnfnm+wNExSSXRTZLVTRfGo/ZN8XTFywvWGvVmctYGRuydeooNDQ0iEtNZ98tH6Z3bE1uvuKGY4uOnGbBwB4cfHcC+UBIfCJ7bnoztEWTMolJkZ+iNErfByXFVbBSHesqzO3bldVnrnDePxhrEyM+ef01vh3Yg8/2HCu2ueEuzYhOTuWMX/l1JBT5K7JA49nrlq6WFj8P6sd3J88RmlR+Za9324Z88UYP5fsP/7dP8YeawvW4WPKLpNB4eDKkYFst61djav92fLf5BF73IqluY87Ho7vw5qAO/L7/onK94Mh4xs7fhImBHt1c6vHtlN68uXwHAY+5KU5penRpzEfvFbYPn83b/WjWVPKc/4QNRCfX+rw9pQvfLj1AVLTqPkrPyGLazPUYGOjSsrkj707vRmRUEm7u5XstptoyWAYN/Li/d2Coq0Nzh6p83P01QhOT2e95+/ErlpHiYT3ZiTYXO3t+eb0v3547hXu04h4Ouppa/NqrH4svnCE0pXzqVu92Dfl8QmG9mvXzPsUf+UXrCI+tWMXqFar16oetp5g7sSfbF04kPx/CYhI5cMGbAa7q2/APR3XGuZ4D05dsf2EnyF4F6srg8/z3NAvq5qx/jpCalQXAt/+dZP2oYVgaGhKXnv6YLTy9rgOcee/bIcr3895cD6j/TVS03D2ko6PFZz+OZe2yw0SFJpR5Hl8ZUree2SvRkU1NTWXVqlUsWbKEN954A4DatWvTpk0bAObMmaNM6+joyOzZs/n111/LrSObkJlOTl4e1gaqo6+W+obEPii9sYlIU5zp8k+KQ1NDg6Wuvfnd6yq5L7iQJ6RnKGIoMvpqaWRQ7ExjZXT+qj8+foVnl3V0tACoYm5E9CNnGy3MDIuNwqjTuX19vvywL4t+Plzudyx+uG+Kjr5WMTIoNpr5UExqmpr0ivcP79ybmZPL3P3/Me/ACSyNDYlJSWOkSzNSMzNJSM9QfvfMbQfQ1dbC3ECf6JQ0PurRkdCE5/+Bl5ieQU5u8bgsjQyKjV4+FJuahpVJ6XHNeK0NnqGR/HlBcedUv6hYMrKy2TxtFD8fv6AyfVhHS5PBzo3ZecOT3HI6c1zS/rM0LDnOx7E2NqKetSXf9Xud7/opOmCaGhpoamhw+9MPmL5jL+cDn79TdPZWAF6BhTdp09VW1BtLMyOiEgr/j1VMDIlPLrnexCWnYWmq2j5amBiQk5NLYppi+uLbgzvw79U77D+nuE45ICwWAz0dvpzYk7UHLin3T05uHqHRiQDcDo6icU1bxvZ0YcHfz3439AtX/LntW3gd5MP2wdLCiJhH2gdzM0MSEh+/zzq51mfuR/1Y/MMhlTsWP5SfD2ERihj870XjWMOS8aPal1tHVtm+qymDZdG+hyYq2gO/6DisjAyZ2andC+nIJjwoiMuwyLHXwLDYKG1Rrao68Ff/Ifx05SKbvN2Vy22MjKhfxYrl3XuzvHtvoLBu+b89i8kH9xSbyvy0zt4KwOve4+uVhYkhcaXVq6Q0LM2K1CtT1XqVmJLBJyv+QVdbCzNjA2ISU5k5/DXCY5OKbW/W6M683qYBby3bSVhM8c9FcSX+dnqO9h0gOjWNqNRUZScWICAuHgB7U5Ny6chePunDHffCSxx0dAt+J1mbEBtZWB7MLY1JjFV/GY6FjSmO9WyZvXg4sxcPB0BDUwNNTU0Oei/i6xnrVaYqC/G0XomOrK+vL5mZmXTu3Fnt5/v372f16tXcu3ePtLQ0cnNzyc3NVZu2LGTn5eEVF0lH+5ocDvJVLu9oX5OjwU9+F1RNDQ20NDXR0tAkN7/88qtOdl4e3hFRdKjtyNHbhY1Mh9qO/Hu78jc6GQ+yCYtMVFkWF59Ka2dH7vgXnInX0cKpcTVWrT9T6ra6ujZg7vt9WPS/I5y+VD53uX1Udm4e3uFRuNZx5JhP4b5wrePIvz7q982tkAg+7tkRXW0tsgquJ3WtU4Oo5FTCElU7oTl5eUQVdO76NW3Aab/AYicLs3JyiU5JQ1tTk9cb1+Oo9/PHnZ1bUObqOHLM+5Ey95i4PioSV4e6qnHp62gXOxH0cGSh6EhNj0Z1sTA0YLdb+T36JDsvD+/IKFxrOnL0ziP7r5Yjx+48W92KSkml7xrVxwSNc2mOa80avLP7AGFlNEqbnplNekGn8aHYxFTaNnbEJygKUPwId67nwP92lnxZhGdABF1a1FFZ1raxIz7BUeTmKkb/9fV0ip1MyMvL43Fja5oaGsqO57PKyMgiLCNLZVlcfCqtWtTkzt1H2oem1Vi97nSp2+r6WgM+n92XJT8e5syFJ6snmho8dwylKbV9f8YyWBJNDQ1lx6y8Zefl4RUTRcfqjhwOKPxfd6xeg6MBJcfVpqoDf/Yfys/XLvKnh5vKZ5Fpqby+db3KsjeaOtOxuiNvHtlfJqO06Q+ySX+QqLIsNjGVNk2K1Kv6Dvxvx2PqVcsi9apgGw/r1UNZObnEJKaipaVJN5d6HL/mq/L5R2O60LOgExscKSNpTyo7Lw+vgvb9iO8j7XtNR475PnvduhEWTp+G9TDU0SE9W3EzpJpVLAAISy6fmQIZaVlkpKnObImPTqZFh7r4eSpuMqWjq03TVjVZu+yw2m3ERSXxVv+fVJb1H9uOFh3qsWDmRqLCpGyJ5/NKdGRLm9p17do1pkyZwqeffsrixYsxMzPj8OHDfPXVV+Wap7Xe1/nxtX64x0RwPTqU8Q2dsTU0ZvOdWwDMcelEc6uqjDu2HYAhdRqTmZuLb0IMWbm5OFnZMcelE0eCfMnKe7Gd2If+uuTGsiG98QiPxC0knDEuTtiYGLHthmLK9uxurjg52DFpY+G03DpWVdApuKbSSFeXhraKW/rfiYpRpnm4zFhPl/z8fBraWpOdm0tAbPwLjK64HQduMGFEO4JD4wkJT2DiiHZkPMjmv7OF17vO/aAvAIt+UTTa3Ts25MsP+7Jy/WncvUOpUnCtbXZObrne8Gn9JTeWDu2NR1gkbvfDGd3KCWsTI7ZdL9g33V1p5mDH5A2KfXPQ8w7vdmnHksG9+O3sFWpaWjC9Y2tWni68cUlNS3OcHKriHhqBqYEek9q7UM/Gks/2FU6/dXKww9bUmNuRMYprc7q0Q1NDg7UXrpdJXH9fdOO7ob3xDFXENaq1Iq7t1xRxzerhSrNqdkxZXxCXxx3e6dKOJUN68dsZ9XGd8r3H/EE9GN3aSTm1+PM+nfEOjyIiSfVanxEuzbgceJ/QhPIdffjzqhvLB/TGIyISt9BwxrRwwsbYiK03FXF+1NkVJ3s7Jm4trFt1LQvqloEBhrq6NLJR1KPb0THk5OVxN1b1B0dcWjpZubnFlpe1rcdvMrlfG4Ii47kfmcDU/m3JyMzm6JU7yjTfTlGMZM37U3Fd8u4z7ozs5szsUV3Yc9aD5nXtGeDahLl/FP4YOud+j7E9W3I7KAqvwAiq25jz1mBXznsEKju4M4d15LxHIFHxKco7Jbs0qM6H/9tb5nHu3HedN0a3Jzg0jtCwBN4Y3Z6MjGyOny4cafziI0X7sPgHRRzdOjVk7sf9WLXuNO5eocprbbOzC9uH8aPacds3gvDIRHR1tGjbqg6vd2vCL7+dKPMYHvXXZTeWDS5oQ0LDGdNSTftub8ekTU/evo9v7UxoYhKBcYofp61rODClvQtbrr+Ya2QB1t66wY89+uAeFcn1yDDGN2mOrZExmwtGWee060hzWzvG7Vc8p7OdfTX+7D+UjV632O93G2tDxUhabl4+8QUjvH7xRepWhqJuFV1elrb+d5PJ/dsQHBHP/agEphTUq2OP1Ktvpinq1TdrFfVqz2l3RnZ3ZvaYLuw5rahX/V2bMPf3wnrVpLYdNubG+IXEYG1uzIxB7dHUhA1HCtvwOeO70ad9Iz759R9S0h4or9lNz8xWPsP5RUtLh4ePSc/Lg/AouH0XzEzB3rZCslSiP6+58X1/Rft+IyycMc6K9n3LLUU9+LiTK05V7ZiwXU37bmiAoY5q+w5wwOcOMzu0ZWnf1/nfhcuY6OnxVfcuHLnjR3zBjKkXYd+GC4x+qysh92IIC4plzNvdyEjP4vTBW8o0Hy0dCcAPn+4gNyeP4LtRKttIjEsjOytHZbm2jhY16tgAoKunjYW1MbUbViUjPYuIUp7V/arQyHt8GqHeK2ign5AAAG4zSURBVNGRbdCgAXp6epw5c4Y6dVTPRl6+fJmqVauqTC8OCSn/OwEfDLyDuZ4+7zVvj7WhEX4JsUz+bxdhaYozZzYGRjiamCvT5+bl845TO2qaWqABhKUms+HOTdZ5l00H4Vkc8fHDwlCft19rg42xEX7RcczYso/wgh//1sZGVLcwU1nnj7GDqWZeuGz/m+MBaDD/p2LLHurWoA6hiUl0/9+f5RXKE9my9yp6etrMntEDY2N9bvtFMPubnWQ8KDxw21qr3thlUO/maGtr8cG07nwwrbty+U2v+7z/5fZyy+sRbz/MDfV5u1MbrI2NuBsdx5ubH9k3JkbUqFK4H1Izs5i6YTdf9evGrhljScrI5K+Lbvx1qXD0QVNDk0ntW1LLyoKc3DyuBIUwZt12lRFbPW0tPujWgeoWZqRnZXPmbiCf7j1KygPVO3w+c1xefpgb6PNW5zZYmyjiemtTkbgsisT1926+7t+NnW+OJfmBIq71Fwvj2nfLByM9Xca1dWZOr06kZmZxJTCE7/9VvWlQNQsz2taqzkc71Z9ZLkuHbyvifKdDQd2KiWP6jn2EF9y4ysbYiBrmqnVrzUjVuvXPVEU9qrdE9Wz3i/b30Wvo6Wrz6dhumBjp43Uvkpk/7ib9kR+8dkVuiBQem8wHv+xl9qjODO/iRExiGt9vPcVJt8IRi3UHL5Ofn89bgztgY2FCYmoG59wDWLX3gjKNpakRC6b1wdLUkNSMLO6GxvD+L3uK3RG5LGzddRU9PR1mvdNT0T74RvDxlzvIeGTk1sZa9YYnA/s6o62txftvduf9Nx9pHzzu8+FnipsJGRjoMvvd17G2MiYzK4f7IfEs/uEwJ86U71TcIz5+WBg80r7HxDFj62Pa9zFF2vcZBe37AkUZ1NLQ4OPur+FgZkpuXh73ExL54cR5tt54cR3Zg/6+mOvr816rtlgbGeEXF8fkA3sISymoW4ZGOJqaK9MPb9gEQx0d3mzRmjdbtFYuD01OouPGtS8s30VtOKKoV3PGK+qV971I3vthN+mPHI/sqhSvVx/+tJdZYzoz7GG92nKKUzcK65WetjZvDXXFwdqMjAfZXPAM5Ou1R0jNKGzDR3RzBmD1nBEq2/9j/yXW7L9UDtE+nrcvTPywcD7Gir8Ur8G981nyeYVkqUSH7yjq1jsd2mBjZIRfbBzTdha279bGqscxgLUjBlPNrHDZgcmKulV3qaJupWdnM2H7bub16MqeCWNIepDJ8bv+LD9z/gVFpbBzzRl09XR49+tBGJsZ4Osewtwp68hIe6QdrGr+1NutYmPKyv0fKN/bO1rRb3Q7PK7c49MJf5RF1sUrSiMxMfGVuMJ43rx5rF+/Xnmzp/j4eG7duoW9vT3jx49n9erVtGnThhMnTrB48WLi4uJITEwstp3me35/8Zl/AfRCXtwt2l8UG7ecxyeqhGKcX4nzS8W8imcccwwqOgflwyzglTgsFGMU/uq1GZHtX722HSCzyivYYADWN57/Du8vmyuLf6voLJSL+n+/XdFZKBf1/ox6fKJKaNvVl+yMxlMY3m9FRWdBadehmRWdhafyyjxHdt68eXz44YcsX76cNm3aMGHCBMLDw+nTpw/vv/8+n3/+Oa6urpw6dYovvviiorMrhBBCCCGE+P8uP//leVUyr8zQj6amJrNmzWLWrFnFPps3bx7z5s1TWTZ16tQXlTUhhBBCCCGEEGXolenICiGEEEIIIUSlUvkGQl8ar8zUYiGEEEIIIYQQ/z9IR1YIIYQQQgghRKUiU4uFEEIIIYQQogJoVMKbLL0sZERWCCGEEEIIIUSlIh1ZIYQQQgghhBCVikwtFkIIIYQQQoiKIFOLn5mMyAohhBBCCCGEqFRkRFYIIYQQQgghKkJeRWeg8pIRWSGEEEIIIYQQlYp0ZIUQQgghhBBCVCoytVgIIYQQQgghKoA8R/bZyYisEEIIIYQQQohKRTqyQgghhBBCCCEqFZlaLIQQQgghhBAVQaYWPzMZkRVCCCGEEEIIUalIR1YIIYQQQgghRKUiU4uLMPTXqegslIsHNq/etIVc3VfzPIxmVkXnoHzk6VZ0DsqeUVhF56B8ZBtpVHQWykW63at3yMs2ffXadgDNnFezDGrkVXQOyl79v9+u6CyUC7+Jqys6C+Wiz86xFZ0FUZRMLX5mr2ZPQAghhBBCCCHEK+vVOz0thBBCCCGEEJXBKzhT40WREVkhhBBCCCGEEJWKdGSFEEIIIYQQQlQqMrVYCCGEEEIIISqAhtzs6ZnJiKwQQgghhBBCiEpFOrJCCCGEEEIIISoVmVoshBBCCCGEEBVBphY/MxmRFUIIIYQQQghRqUhHVgghhBBCCCFEpSJTi4UQQgghhBCiIsjU4mcmI7JCCCGEEEIIISoVGZEVQgghhBBCiIogI7LPTEZkhRBCCCGEEEJUKtKRFUIIIYQQQghRqcjUYiGEEEIIIYSoCHkVnYHKS0ZkhRBCCCGEEEJUKtKRFUIIIYQQQgjxXDIzM/nkk0+oXbs29vb2jB49mrCwsCdef9euXZibmzNq1KgnSi8dWSGEEEIIIYSoABr5+S/N63l9/vnnHDhwgHXr1nH48GFSUlIYNWoUubm5j103KCiIr7/+mvbt2z/x98k1ss9odFsnpnRshbWJEf7RcXx36Aw3gks+41DP1pIvB3SjWTU7kjIesOOqB6tPXVFJo6OlyZtd2jLQuRE2pkbEpabz1/kbbLp0C4DBLRqzeHivYtt2nvc/snIeX0CexXin5kxv2QobIyP84uJYePY018LVx9nWoRpTWrSkuZ0dJrp6BCcl8tdNN3b6eCvTWBsaMbdTZ5pY21DT3Jy9d24z579j5ZL3x5k6oj0DuzthaqyH991Iflh3gsDQuBLTW5ob8d6EzjSoZUu1quYcPevDolXF825ooMubo13p0rY+Zib6RMel8NvW85y85Fem+R/d1okprxUpg0GPKYMDC8pg+gN2XPNg9Uk1ZbBrkTJ4rrAM9mpaj6mdWlPD0gxtLS3uxybw94Wb7L/pU2ZxjWntxNQOhXEtPnqGG/dLjqu+jSVf9e1GMwdF3dp+w4NVZ1TjGtu6OePaNMfB3IyIpGR+O3eV/e63lZ9vmDScNjWrF9v23eg4BqzaUGaxvdW3HUNdm2FqoI9XcARLtp8iILLkMgfgUteBj4Z2pk5VS2KS0lh//Dq7znsoP+/Zoh6TeramhlXBPolJYNOpmxy4UrhPRnVqzjDXZthXMQUgIDKOtUevcs47sMxiU4mzdzuGdVDE6RkcwZJdTxBnHQc+HtKZOnYFcZ68zs4LhXHWsbPk7T7taVTNhmpWZqw+confjl4ul/wDTB/UniGdm2FiqI/3vQiWbTrJvfDSY2hZvxofju5MbQdLYhNT2XDkOntOF8agpaXJ5L5t6OfaGGsLY4IjE1ix8xyXvIJUvnfGINWDeFxSGr1n/V6m8cGr276/qnGpM31wewZ3boaJkaKcLt9Qejm1NDPiw9GdaVDThuq25hy5eJv5aysulnEtnJjWphU2xkbcjY1j4YkzXA9Vv690tbRY0Ks7TWxtqGNZBbewcMZt3VUsnY6mJu90aMvgJo2wNTYiNj2dtVdvsOHGrXKO5uldc4e/toG3H0THarD4s3yG9KnoXJVu/Iwu9B3igrGJPne8w1i59BDB92JKTN+spSNT3u1BNUdL9PR1iI5M4ug+N3Ztuqg2fZdeTfl80XCunPPj61lbyisMUQ6SkpLYuHEjK1eupGvXrgD8/vvvNGvWjNOnT9O9e/cS183Ozmbq1Kl8+eWXnDt3jvj4+Cf6zkrVkT137hwDBgwgICAAS0vLZ97O22+/TXx8PNu3b3+m9Xs3q8/n/bqw4J+TuAWHM6atE79PHMyAXzYQkZRSLL2Rni7rJg/jelAYI1dtoZa1BYuH9SIjK5v1F9yU6ZaP7IuduQnz9h0nOC4RK2ND9HRUd1F6Vja9f/hTZVl5dWL71avPV5268PWpk1wPD2O8U3P+HDSEXpv+JjyleJwu9vb4xsXyx43rRKel0cnRkUXde5KZm8s/vncAxYEoPiOD365fZXRTp3LJ95MYP6g1o/u3YtGqo9wPj2fy8Pb8/OVwxnz4J+kPstWuo6OjRVJKBhv3XWVQD/V519LS5Oe5w0hJy+Srnw4SHZ+CTRUTsnNyyjT/vZvV5/P+XViwv6AMtisogz+XUganPFIGrSxYPLygDJ5/pAyO6oudWUEZjC1eBhPTH/D7qSvci40nJzePzg1rs2BoTxLS0jnrF/TccfVpUp8vendh/qGT3LgfztjWTvwxfjD9V5YS14RhXA8OY8SaLdSytGDJYEVcf11SxDW6lRMf9ezI1/8cxz0sEicHWxYM6ElyRian/O4B8N72A+hoaSm3q6ulxT/vvMFR77I7+TCpRyve6ObC15uOERSVwJt92rH6vaEMnr+e9Ez1Zc7e0pQVbw9h32Uv5v59lBZ17Pl8VDcSUtM5ccsfgMS0B6w9eoXAKMU+6dS0NvPG9iQhJZ3zPkEARCWk8Mv+89yPTkBDU4OBbRvz44wBjF26hbvhsWUWI8Dk7q2Y0NWFr7YcIzg6gRm92vHbO0MZtKjkOB2qmLLyzSHsu+LFFxuP0qK2PV+M6EZ8ajon3BVx6utqEx6fxAmPu8zs61qmeS5qQp/WjOvlwrfrjnE/Mp6pA9ux4uNhDP/irxLbB3srU36eNYR/znnx9ZojONdz4NPx3UhIyeDUjbsAvD3Elb4dGrFo/X8ERcTTrokjy2YOZOrirfjdL/whGBQRz1tLdyjf55bDMwZf1fb9VY1LnQl9WzO2lwvz1x0jOCKeaYPa8esnwxjxecnlVFdHi8TUDP4+dJUhnSs2lr4N6/Nl9y58899JroeGM66FE+tGDKb32g1EqNlXWpoaZObkstHNnS61a2Kqr6d2uz8N7EtVExO+PHacoPhErIwM0dd+OX/upmdAvVowqBd8tvjlf5boyImuDBvXnh++3UdIcBzjp3VmycoJTB32KxnpWWrXyUjPYt/2KwT5R/HgQTZNmtfggy/68+BBNgd3XVNJa+dgwbT3X8fTLfhFhCPK2K1bt8jOzqZbt27KZdWqVaNBgwZcuXKl1I7sggULqFGjBmPHjuXcuXNP/J0v9dTifv368cknn1R0NoqZ5NqSfW4+7Lruxb2YeBYdPE1MShqj26o/KPRv3hB9HW0+33UU/+g4/vP2Z+3Za0zs6KJM06FuDdrXrcFbf+/lUsB9whOT8QiN5FpgqOrG8vOJTU1XeZWXqS1d2H3bh+3engQkxPPtmVPEpKcxrllztelXXbvKj5cuciMinJDkJDZ7enDM/y6969ZTpglLSWb+mVPsvu1DUuaDcsv744zs25JN+65y+spd7oXEsWDFUQwNdOnZsVGJ60TGJPPTX6c4fMab5NQMtWn6d2mChZkhny7bh4dvGJExyXj4hnE7IKpM8z+pY5EyeOAxZdC5oAzuPIp/1CNl0LWEMuivvgxeuRfCidsBBMYkEBKfxKaLN/GLjMGlpkPZxNW+JXtv+bDTzYt7sfEsPKKIa0wr9XENaNYQAx1tPtt7lLvRcfx72581F64xqX1hXIOaN2LnDS8OefkSmpDEYS8/dtzwZFrHVso0SRmZKnWqZQ0HDHR02H3Tq0ziAhjXtSV//XeNE7f8CYiI46uNRzHS06VPq4YlrjOioxMxSaks3XmawKh49lz04sAVHyZ0L4zvml8IpzwCCIpKIDQ2iS2nb3I3PIYWdQv3yWnPe1zwCSIkNon70YmsOHCR9AfZONWqWmbxKePs3JI/j1/jhLs//hFxfLVZEWdfl1LidHUiOjmV73YXxHnJiwNXfZjYtTBO7/tR/Lj/HEdu+PIgW/2P9LIypmcL/j58lVM37hIQFse3a49hqK9Lr7YlxzC0S3NiElP5fsspgiLi2XfWk4MXfRjfqzCGvh0aseHwNS54BBIWk8Tu0x5c9AhkfK9WKtvKzc0jLjld+UpMUd/ePI9XtX1/VeNSZ/TrLdhw+Cqnrt/lXlgc364pKKftSi6nEbHJ/LD5FIfO+5CcVrGxTGndkj1ePmx39yIgLp75x08Tk5rGuBbq2/uM7By+/vcE2909iUxJVZumY80auNaswbRde7kQdJ+w5GTcIyK5EhKqNn1F69wOZs2AXl1A86X+Ra4weEw7dvx9nvMnbxMcEM3yb/ZiYKhL197NSlzH/04EZ/71IvheDFHhiZw84sH1SwE0bVFDJZ2WliafLxrG+lUniAhLKO9QXi75+S/P6zlER0ejpaVVbLDR2tqa6OjoEtc7efIke/bs4aeffnrq76wE1ebloqOlSWN7Wy76q54tuuAfjHMNe7XrONeoyo3gMDIfGTm9cDcYW1NjHCwUU/26N66LV2gUk1xdODlnGkdmTeKLfl0w1NVR2ZaejjbHP57KyTnTWPXGIBpVtS7jCBV0NDVpamPLueAgleXngoNpWVV9nOoY6+qR9ODlOfAD2NuYYWVhzFWPIOWyrOwc3G+H0qzBk8emzmut6+LpG87sKd048MdbbP5xElNHtEdLq+yqmrIM3lVTBh1LKIPVq3IjqEgZ9AvG1kxNGezowslPp3Fk9iS+6F+8DD6qXZ3q1LSuwvVSpjQ/TVxN7G25EFAkroBgWlQvOa7rRerWef+CumWuiEtXS4usIiPiD3JyaOZgh3YJvxxGujTlnH8Qkcnqfyw9LQdLM6zNjLh0uzC2zOxc3PxDca5dcplzqlWVS3dU/x+XbgfTuIZtiXlvU786NW2q4Oavfp9oamjQy6U+hno6uAeGP0M0JVPG6asa542AUJrXKiXOmsXjvHin9DjLi4O1GVbmxlzxejSGHG76huJUt+QYmtWpyhVv1RguewXRuKatsv7raGuRma1aFjOzc2heT3W7DtZmHPphBvuWTmXRm31xsDZ73rBUvKrt+6salzr2BeX0ctFy6ld6OX1Z6Ghq0tTOlvOBqnXmfFAwLR2ePf8969XFIyKKKa1dOP/ONI5Pn8RX3btgqFPycUw8GTsHCyytTLhxOUC5LCszB8+bwTR2Kn5pTknqNLCjsVP1YqOuk97tTlR4IscPuZdZnkXZWLhwIebm5qW+ShtFzc/PR0NDQ+1ncXFxvPPOO6xevRpzc/OnztvLOdcCxfTfCxcucOHCBdasWQPAypUrAfDy8mL+/Pn4+PjQoEEDfv75Z5ydnQGIj4/nk08+4dKlS8THx1OzZk1mzpzJ+PHjyyRf5oYGaGtpFhsJjUtNp30dQ7XrWBkbEZWcUiz9w8/CEpKpZmFGS0d7snJz+HDLQUz09Zg7oCvWpsbM2noQgMDYBL7c8x++kTEY6eoyvkMLNs0YxdAVmwiOSyyT+B6yMDBAW1OT2HTVOGPT03GtoT7OorrVqkWH6tUZsfPZpnCXlyrmRgDEJ6rGFp+UjrWF8XNt28HWHJempvx34Q4fL9lDVRszPpraHQN9XVZsPPNc237omcqgiRFRSY8pg1UKymBODh9uPoiJwSNlcMtB5XrGerqc/mw6Otpa5OXls+Cfk5wrg2nFFoaKMheXViSutHSsjNXHZW1sRGTRulWwvrWxEWGJyZwPCGZYiyb8e9sfr/AomtrbMrxlU3S1tLAwNCAmNU1l/ZqW5rSpWZ13tu5/7pgesjJV5D8upUhsKenYmJdc5qxMjbhy577qOsnp6GhpYW5sQGyyIu/G+rr8u6hwnyzZcZILBdOKH6prb8mGj0ajq61NRmYWs9ccwP8x13w+LSsT9XHGp6RjY/aYOP2KxJlSPM4XwfLhvkouEkNy6e2DpZkR13xUY4hPTkdbWxFDXFIal72CGdOzJW6+odyPSqB1oxp0bVkXTc3CA7z3vQi+/fMYQRHxVDE1ZEr/tqz7YjSjvvybpDIaQXtV2/dXNS51LM0U8cQnFT+O2TzncexFeNjexxZp72PT0ung+GT7Sp3q5ma0qqb4LfXu3oOY6uvxdY+u2JoYM3PfwcdvQJSoiqWiXCXEqbbHifFpWFqbPHb9TYdmY2ZhiJaWJpvXnOHQ7uvKz1q2rUPnnk14Z+xvZZvpyiLv5Z5W/vbbbzNy5MhS01SrVo1r166Rm5tLXFwcVlZWys9iY2Pp0KGD2vV8fHyIjIxk8ODBymV5eYoH61paWnL58mXq1aundl14iTuy3333HQEBAdSrV4+vv/4agDt3FNerfPvtt3zzzTfY2dnx2WefMWPGDK5cuYKGhgYPHjygefPmfPDBB5iamnL69GlmzZpF9erV6dy5c9llsEiZ09DQKLpINXmx9A83o/hAs2D9T7YfITVTcZ3BwgMnWTt5GJZGhsSlpeMeEoF7SIRyGzfvh7Nn5njGtXNm8aHTzxfPE9LQeLKZBy5V7fmpV1/mnzmFR1Rk+WesFK93bMicGT2V7z9eshcotgvRoHB/PCsNDUhITue73/4lLz8f38BozIz1eX9i1zLryJb43TymDBZN/yRl8J+TrJ0yDEtjQ2XHNy0ri6G/bsJQT5d2darzab/OhCcmczkgpEziKFZXHhdXsfQFywvWWnXmMlbGhmydOgoNDQ3iUtPZd8uH6R1bk5tf/CnkI1o2IzollTN3n/1GSH1bNeTLMYXXgry3el9BXlUzq6Gh8dj6VOJ+e2TFtMwsRi1R7JM2Darz0dDOhMclc9WvcJ8ERSUwaskmTAz16e5cl/lv9GLaLzsJiHj2zmxfl4Z8Naowzpm/7yuWN0WeS9+HinVU3yv3YzlcH/qo3u0a8vmEHsr3s37epzZDGooGolRF2w8NlDsLgB+2nmLuxJ5sXziR/HwIi0nkwAVvBrg2Ua5z0TNIZRueARHsWzqVfq6N2fKvG+WpMrbvT+JViKtX+4Z8PvGRcvrTPkBNmdN4bDF9qRRv3x7fVpRGs6BNnfXPEVKzFMexb/87yfpRw7A0NCQuvfwux3rVdO3djA++GKB8/9WHmwv+KtrOFVuk1kfT/8TAQJdGzaox9b2eRIYncOKwB6Zmhnz8zWC++3I3qSkv90yI/68sLS2f6N5Ezs7O6OjocOrUKUaMGAFAWFgYvr6+tG3bVu06LVu25OJF1Rt/LVy4kMTERL7//nscHR1L/c6XtiNrZmaGjo4OhoaG2NraAuDnp7jxyty5c+nUqRMAc+bMoXfv3oSHh+Pg4IC9vT3vv/++cjuTJk3i7Nmz7Nq1q0w6sonpGeTk5ilHHh6qYmSg/KFfVGxqmpr0BWf9C9aJSUkjOjlV2YEAuBejuGNXVXOTYqNUAHn5+XiHReFoZf7M8ZQkISODnLw8rAxV821pYFjsbHdRreztWTdwCD9fvshmT49S074I568H4H238EeJro7ipj6W5oZExxWO5lmYGRY7u/204hLTyMnJI++RX01BYfEY6OtgbmJQJte6KctgkVHKKsallMGUtOLpn6YMmpko0+Xnw/34JADuRMRQ27oKM7q0ee6ObEJ6QZkrls+S44pJLTmuhyPWmTm5zN3/H/MOnMDS2JCYlDRGujQjNTOThHTV/aGjpclg58bsvOFJ7nOcIT3tGYBnUOFJJ92CG41YmRoRlVg4XbmKscH/tXffUVFcbwPHv/TepIsKir0rFuxYYo+999iNGluMEmPvsaTY4i+2WGJvsffeYgdRQZHeBRFpgsD7x+riShEVRPI+n3M4h52dmb3Pzt07c+eWIepF1nnuaUycsjVXuY2RPskpKSqtc2lpEPBUcUw8gyIoblOIQS1qqVRkX6Wkvl7nOff9w6hQzIY+jasz8+8THx/nPW/c/d4fp5mhXoZW2nfjNM9BnHnh/B1v7j15q3zQfF0+mBgQ9uytGIz0icymZTjyeRzmJgYqy8yM9Xj1KoXo1zFEv0hg4vJ/0NbUwMRQj4joWEZ1aUDw62OXmYSXyTwJiqSotdlHxZeZ/1L5/rb/alwAF2574+GdeT4Nj3ornxrrE/X88/Vg+FhvyntLg3eOlb5eptc7ORUeG0dYbKyyEgvgHak4jxU2NpKK7Ae4et4Tz3vpQ1S0tBV5zszckIiwGOVyk0IGPIt6/zCcsOBoAHy9wzE1N6TPUBdOHXbDoaQV5pZGLFjRT7mu2uteKoevTmNo9xUE+uVu7yGRN0xMTOjbty/Tpk3D0tISMzMzpkyZQoUKFXBxcVGu165dO5ycnJg+fToGBgaUL18+w35SUlIyLM9MgRwjW6FC+t1rGxsbACIiFDM+pqSksHjxYurWrUvx4sWxs7PjwIEDBAbmzkD/5JRU7geHUaek6h2CuiXtueOf+XizO/4hONnbKU88ivWLERYTS9AzRWFw2z8YSyMDlfGIDuaKC5fg6BiyUtrGgogXuX/SSk5N5V54GPWLqcZZv5g9t0KyHldXs7Ad69p34vdrV1l/53aup+tjxCcmExQWrfzzCYzk6bNYalZOj01bS4MqZe1w9/y0MYNunsEUsTHl7aEARW3NSEhMzrUJW7LNg35Z5MGAEJwcMsmDz9/Kg36Z5EGL9+dBdTU1lRl/P1ZySioewWHUc1SNq56jPbcDso6rxju/rXqOr39b76T5VWoqYTGxpKal0aZiGc56+WRopWlWtiRm+nrsuu3Bp4h/mUzA0+fKP+/QSCKex+FcNn1yC21NDao52nHnSdZ5zs0nhNplVCfEcC5rz33/MF6lZmxNfkNdTU3lO8l8Hd67zvtkGWcZ1TirO9plOx7XzTcE59LvxFnm/XHmhvjEZALDo5V/T4IjeRodS60Kb5UPmhpULW2H2+OsY3D3DqFWedUYalew575vGCkpqjEkvUohIjoWDQ11mjiV4txtb7KiramBg60ZkdG5V87/l8r3t/1X44Ks82ntCqrnsffl0y9Fcmoq90LDqOfwTnnvYM+toI9P/82gYKwMDVTGxDoUUpzHgmKyPo+JjBLikwgOjFL++T2JIPLpC6rXdlSuo6WtScWq9tx3+7Ab2epqami9fiKCp0cQQ7uvZETvP5R/V897cu+2HyN6/0FoUHRuhvVlyu8JnnJpsieAefPm0bZtW7755htatmyJgYEB27ZtQ+Ot60QfHx9CQ3On18sX2yKbHa23Cqg3g4ffdD9btmwZy5cvZ8GCBZQvXx5DQ0NmzZqlrOjmhg2XbrGwS0vcA0O57RdM91qVsTIyYPu/iru445rXo1IRGwau2w3AobsPGdnEmXmdW/DHmWs4WJgxuGFNVp5OfwbiobsPGe5Sm7mdmrPi9FWMdHVwbevCMXcvouIUFaBvmzhz1z8Ev8hoDHW16VOnKqVtLJj1z6lci+1ta2/dZEmLVtwNC+VmcDC9KlXGysCALe6KgfgT69anio0NffYonuNW264Ia9t3ZLPbXfZ7PlDeFU9NSyMqIb0SV85CMUGVobY2qWlplLOwJDk1hcc5fGZUbthx+Bb9O9bGLyiKgJBnDOjkTHxiMicupj9bdOrIlgDMXnFUuayUvSLtBno6pKYpXie/SsE3SJH2vcfv0qVFVcYOaMLuo7extTJmcLe67Dl+J1fTv+HiLRZ2fSsP1s4kDxa1YeDa13nwzus82OWtPNgokzzYuDZzOzdnxanM8+Awl1q4BYQSEPUcbU0NGpZx4Otq5Zh34GzuxHXlFgs7tcQtKJRb/sH0qFEZSyMDtt1QxDW+aT0q2dnwzUZFXAfdHzLSxZn5HVrwx/lrOJibMaR+TVacTY/LwdyUyna23A0MwVhPhwF1nChlZc7kfRmfndjVqRJXnvgT+CzrFrKPteXMLQa3qIVP2DP8wp8xpGVt4pOSOXLjoXKd2X0Vz4meukmRtp0X3ejRsCoTOzdi10V3qpYoTLva5Zm84bBym8EtauHuG0rgU8UxqV/BgTa1yrFw51nlOt+1q88FDx/Cnr1AX1eLVjXKUqNUUUb/sS/34zx3i8HNa+Eb9gy/iGcMaV6b+JfJHL6ZHuec3oo4f9ryOs5LbvRoUJWJHRux67I7VYsXpn2t8kzamB6npoY6jjaKrk3amppYGBtQxs6S+JdJytbo3LL1xG2+aVsLv5Ao/MOeMbBtbRJeJnPsWnoMMwYryocZaxTlw56zd+nWtCrje7qw56wbVUoWpm29CkxZnR5DhRI2WJka4hUQgaWpIUPb10FdHTYeSR8rNqZbQy7ceUJoVAxmxvoM+toZXR0tDl7+tJsr7/qvlu//1bgys+34bQZ8XQvfkCj8Q58xsF1tEhKTOXb1rXw65HU+/fOt81ixN+cxRSylilny6lUKPsGfN5Z112+xuG1L3EJCuRkUTM+qlbEyNODvO4ry/vuG9ahsa0O/7buV25Q0L4TW6/kN9LW0KWeliOVBuOIa78D9h4yqW5uFrZvz+6WrGOnoMLWpC0ceehEVn/uzf3+quHh485j01FQIDoMHj8DEGApb52/aMrNv61V6fNOQAN+nBPpH0mtQQxITkjhz1F25zsSZHQFYNF0xjKtd91qEBUUT4Kd41Ful6vZ07lNX+eidl4nJ+Hmrzmgb+yIRDQ31DMvFl09XV5dFixaxaNGiLNdxd3fP8j2AVatW5fjzvuiKrLa2NikpH/aM1CtXrtCyZUt69OgBKCq4jx8/xsQk92Z9POruham+LsNdamFpZMCjsEiGbdxHcLSim6qFkQFFC6V/XuzLJAat383Ur5uw89texCS+ZMOlWyrPkI1PSmbQ+t1MaduY7SN6EpP4klP3H7P02EXlOka6Oszs0AwLI31eJCbxICScfn/uxD0wdx/t8sahR16Y6ekxqlZtLPUVD5YfuH+v8ll8lgYGFHvre+1cvgL6WloMdarBUKf0x0kExjyn4fq16fvt3Vflc5qVcMywTl7bvP86OtqaTBjUFCMDXe4/DmHc3F0qz96ztjDOsN1fi/qpvG5Qw5GQ8Od0HrUGgPDIF4ydu5vv+rnw16K+REbHc/DMPTbsvpphX59CmQcbv5UH/3pPHly3m6ntXufBhJdsuHhL5Rmy8UnJDFq3mylfN2b7tz2JSXjJqQePWXo0PQ/qa2sxrX0TrE2MeJn8iicRUbjuPMZhN89cieuIhyKuEQ1rYWlowKPwSIZt2Ufw64mqLI0MKPZuXBt3M7VNE3YN7cXzhJesv3xL+QxZAHU1dQbUqU5xCzNepaRyzTeAnmu3Z2ixLWJmgnPxoozfdZi8sOHkDXS1NXHt1gRjfR3cfUMZsXyPyrNVbQupTpgRHBnDqFV7+b5zo9eP4olj4a6zymfIAujpaDGlexOsTBXHxDcsiqkbj3H0ZvoxsTDWZ27/llgY6RObmIRX0FNGrtqrMotybll/6gY6Wpq4dnkdp18oI1apxmljphpnUFQMI1fvZWLHRnR7E+ees8pnyAJYmRiy44f0SfuKWZrStV5lrj8KYPDyXbkaw8YjivLhhz5NMDLQxeNJKKOX7FYpH2zePVZPYxj7y17G9WxEZ5fKRETHsfjvM8pnyALoaGoyvFM97CxNSEhM5pK7D9PWHCE24WV6nGaGzBneGlNDPZ69SOCedwgD524lNFJ1UrNP9V8t3/+rcWVm4+HX+bTv63zqHcroxar51No84yQ8W2apxtKwmiPBT5/T4fvPG8vhh16Y6enybd1aWBkY4PU0ksE79xH8egI/S0MDipmpXrut6dqBIm8dvwPfKMqEkgsVj+2IT06m3/bdTG/WmD39evI88SUnHz1m0bmLfIk8PKH/2PQuXMvXK/46tExjvms+JiwLO/66hLaOFiMntcbISI+H9wJxHbVJ5Rmyljaqx0xDXZ1Bo5thXdiUlJRUggOfsW75SZXJnoT4WGrR0dFf7LwAY8aM4c6dO2zcuBFDQ0Pu3btH+/bt8fb2Vg469vPzo0qVKpw5c4Zq1aoxZcoU9u7dy9q1azE3N+d///sfO3bsoFKlShw6dAhQzL4VFRXF9u0ZZyWs8/O6zxrj55Jo9cUe5o9mc+m/FxNAdMkC2eP/vVK18zsFuU/3aX6nIG+kfXpP8S+S9ov/XpkRWSW/UyA+hMWX2XP5k0SVy/yxGgWdV/+ctwoVJK3a9srvJOSJHafG5XcSPlqPGnPzOwlK225Mye8kfJAv+op59OjRaGtr4+zsjKOjY47GuU6cOJHq1avTtWtXWrdujb6+vnLmLCGEEEIIIYQQBd8X3bW4ZMmSnDihOqNm7969VV7b29sTHR2tfG1qasrmzZuz3e+H9L0WQgghhBBCiDyRx4+Z+y/7oltkhRBCCCGEEEKId0lFVgghhBBCCCFEgfJFdy0WQgghhBBCiP+sVOla/LGkRVYIIYQQQgghRIEiFVkhhBBCCCGEEAWKdC0WQgghhBBCiPyQlprfKSiwpEVWCCGEEEIIIUSBIhVZIYQQQgghhBAFinQtFkIIIYQQQoj8kCazFn8saZEVQgghhBBCCFGgSIusEEIIIYQQQuQHeY7sR5MWWSGEEEIIIYQQBYpUZIUQQgghhBBCFCjStVgIIYQQQggh8oNM9vTRpEVWCCGEEEIIIUSBIhVZIYQQQgghhBAFinQtFkIIIYQQQoj8IF2LP5pUZN9heSc5v5OQJzTjXuV3EnJd+PiX+Z2EPGGy1Ti/k5Ankg3U8jsJue6V3n8vJoAEq/xOQd5IbhyT30nIdWXG/fdiAkDtv9lh7OFs8/xOQq4rO+t5fichT7Ta2Su/k5Anjhz8O7+TkCdeMC6/kyDywX/zTCGEEEIIIYQQ4j9LWmSFEEIIIYQQIj9I1+KPJi2yQgghhBBCCCEKFGmRFUIIIYQQQoj8kJqa3ykosKRFVgghhBBCCCFEgSIVWSGEEEIIIYQQBYp0LRZCCCGEEEKI/CCTPX00aZEVQgghhBBCCFGgSEVWCCGEEEIIIUSBIl2LhRBCCCGEECI/SNfijyYtskIIIYQQQgghChSpyAohhBBCCCGEKFCka7EQQgghhBBC5IdU6Vr8saRFVgghhBBCCCFEgSItskIIIYQQQgiRD9LSUvM7CQWWtMgKIYQQQgghhChQpCIrhBBCCCGEEKJAka7FQgghhBBCCJEfZLKnjyYtskIIIYQQQgghChRpkc1lA3rV4+uWVTAy1OG+Zwi/rjqBr39klus3qFuK9q2qUsrRGm0tTXwDnrJp+1UuX3usXKdti8q0aFIBB3sL1NTUePwknLWbLuB+P+hzhES/AQ1o07YqRka6PHgQzO+/HsPP92mW69dvUIav21WjZCkbtLU18PN9ypbNl7ly+ZHKep061+Tr9tWxtjYmJiaByxcf8b//nSYxITmvQ6K7Q00GONbDUtcQ7xcRLLx3hFtR/u/drphBIXY0Go4aUPvwPOXyGub2jCnXDAdDC3Q1tAiJj2a3/y3+8r6ch1FkblDnOrRvWhljAx08HoeyeP0pfAKzzoPmpgZ816cRZRysKWJrytEL95nzxzGVdVo3rMDUES0zbNuo368kJafkegxD29WhY8NKGOnr4uETwsItp3kSnHUMANVLF2Fc90aUKGxORHQsm47eYPc5N5V1ejStRheXKtiYG/M8NoFzd7xZtvsCCS8Vea5aKTv6tqhBWXtrrMwMmbHuKAcv38+1uIa3cqZTvUoY6+lyzy+E+TvO4B2afVxOJe2Y0LERjrbmRDyPY8PJG+y6lB5Xp7oVaVurPI425qirwcPACFYcusydJ8HKdQ7PGEhhc5MM+77g8YTRf+zPtfgAejlVZpBzDawMDXgUEcm8E+e4EZB5WaWtocGsVk0pb2OFo0UhbgUG03fzLpV1ahazY0Lj+hQvZIaelhbBz2PYcece667dzNV0Z6dH8ZoMLFkXS10jHr8IZ4H7UW5Gvr+8sDcoxC6XYaipqVHjYHp50cy2HN2L16CciQ066pp4v4hgtdcFzoR65mUYmeo9pgWtejpjaKKP5x0/Vkzbjf+jsBxtW6FGcRZu/ZYA73BGtFyU6TqNvq7G5N/7cu2UBzMGr83NpGer95jmtOpR+3Vc/qyYvucD4nJg4d8jCPCOYESrxcrl9VtVpuvwxhS2t0BTU4Mg3wj2rbvAyT038ioMpT6lqjO0fG2s9Azxio5g9s2TXI8IzHTdksbmzKrZglImFhhp6xAW/4IDfg/4zf0CyakZJ5WpYVmErc164x0TSctDa/I6lAx6j2pGq+61MDTWw/NuACtm7cP/cXiOtq3gZM/CjUMJeBLBiK9/VS4vVtKKvqO/wrFCYWyLmrN52Um2LD+ZRxFkrs9QF1p3dMLQSJeHHkGsWHgIvycRWa5fqbo9A0c2o4i9OTq6WoSHPufovlvs2pz5dYRLi4q4zu3CtQteTBv3d16F8cGu34X128DDC8KfqjFvchodW+V3qsR/lVRkc1HPLrXo3rEm8385TEBQFP171mXJnO70GbaGhISkTLepWrEot9z8WbPpAi9eJNLMpTxzpnRgrOs23DwUJ6mqlYpx+sJD7q0OIvHlK7p2qMGi2V0ZNPovgoKf5WlMPXo607VbLX5ecJCAgCj69qvPz4t7MqDv6ixjqlKlGLdv+7Fu7TlevEikabMKzJzdmQljt+DuHgBAk6blGTKsMUsWHcbdPQBbW1O+/6EN2toaLF50OE9jalG4ApMqtmKu2yFuRfnRw6EWq5z70P7MCkITnme5naaaBoucunIz0o8a5vYq78W/SmLLk2s8ehFGYkoy1QoVY2rlr0lMSWa77/U8jedtfb6uSc82NZjzx1H8g6MY2LkOv/3YhR7j1xGfmPkNAi1NDaJfJLDxn3/p0LRylvtOSEymy1jVi5y8qMT2b1mT3s2dmLnuGH6hUQz+2pkV4zvTecp64l9mHkNhC2N+G9ORfy7eY+qaI1Qtacfk3k149iKB07cUN1Ba1CrLd10aMOevE9x+FISdpQlT+zdHR0uT2X8dB0BfV5vHQU85dOU+MwdmrLh/igHNatC3iRPTNh/DN/wZw1o6s2pUJzrM3pB1XObGLB/ekX1X7zFl41GqORbGtVsTnsXGc+qu4mZXjZJFOHbLkztPgklMekWfxtVZ9W0nui/cjH9ENAC9F29FXU1NuV8LEwO2TuzN8VuPMvvYj9a6XGmmfOXCzKOnuRkQTC+nyvzZowOtV28kJOZFhvU11NV4mZLClpt3aeTogJGuToZ14pOS2XT9Np7hkSQmJ1O9aGFmtWpG4qtk/r7plmH93NbSrgKulVoy++4hbkX607NETVbX6cPXp1YQkk15oaWmweKaXbgR6UdNCweV92pa2HMtwoff75/meXICbYtU4vfa3RlwcUOOKsi5peuwJnQa3IilE7cR+CScXt81Z96m4QxpuoCEuJfZbmtorMeEJb24c/kR5tYZb5IA2BQtxGDXr3H/1zsvkp+lrsMa02lQQ5b+sJ3AJxH0Gv0V8zYOZUizn3MW1+Ke3Ln8OENcL6Lj2bb8JAHe4aS8SqVWk3KMXdCV51GxXD/7MM/iaWNfjmk1mjHt32Ncjwikb+nqrG/cneYH/yQ4PibD+smpqez2ced+VBgxyYmUM7Vifu3WaKqrs+D2GZV1jbV1WVKnLZdDfbHWN8qzGLLSdUgjOg1swNLJOwn0iaDXyKbMWz+YIS0XkxCX+TXGG4bGekxY2I07V7wxtzZWeU9XT5uwoGdcOnGPfmOb52UImerWvx6de9dhycx9BPhF0mdwI+av6MegzstIiM88roT4JPZtv4bv4zASE5OpUKUYY35sS2JiMgd3qV5H2NiZMfi75rjf8vsc4XyQ+AQoVRzat4DJ86TLbI6kyff0sfK8a3GbNm2YOHFiXn9Mjo0YMYLu3bvnyb67tq/Bll1XOX/ZCx+/p8xbehh9PW2aNSqX5TbL/neav3de46FXKEEh0fy19TJej8Oo71xKuc6cxQfZe/A2j56EExAUxdIVx4lPSKK2U/E8ieNtnbrUYuvfV7hw3hNfnwgWzj+Avr42TZtVyHKbFctPsO3vK3g+DCE46Bmb/rrII69Q6tUvrVynQsUiPLgfzMkT9wgLfc6d236cOOZO2fJ2eR5TP8e67A+4w27/m/jEPmX+vcNEJMbS3aFmttuNL/8VXjFhHA/2yPDe/echHA2+h/eLCILiozkY6MbliMdUL2SfyZ7yTvdW1dn0z7+c/fcRTwIjmb3yKPq62jSvl3UeDH0awy9/neHweQ9iYhOyXC+NNKKex6v85YWezarx15F/OX3rEd7BkcxYdwx9XW1a1i6b5TadG1UhIjqWRVvP4BsSxb4L7hy8cp8+LZyU61QpWRj3J6EcvvqAkMgYbjwM4NCV+1QsYaNc55K7Dyv3XuLUzUek5vKJpbdLddafuM6pu4/xDolk6uajGOho06pG1nF1rVeZiOexLNx1Fp+wKPZcvseBa/fp1zQ9rh83HmX7+bt4BkbgF/6MudtPEfcyibrlHJTrPItNIPJFvPKvQfnixCW+5MRtr1yN8Zva1dnrdp8dd+7hHRnF7ONniYiNo1f1zG+QJCS/YvqRU2y/7U7oi9hM1/EIDefQfS8eP40k8HkM/9x7yMUnvtQomvdlBcAAxzrs87/DLr9bPIl9yly3I0QkvqBH8RrZbje+QjO8nodxLDhji/5896OseXQR9+gg/OOiWOl5Do/oEJraZp0X8kKHgQ3Z+cdpLh11w88rlCUTtqJnoINLu+rv3Xbswu6c3H2dB1lcSGtoqjPp9778tfgwodn0SsoLHb5pwM4/znDpqLsiru/fxFXtvduOXdiNk3tu8OB2xrjuXnnMlRMeBD6JIMQ/kv0bLuLzMIQKNfP2XDy4bC12P3Fnm/ddvGMimXHjBOEJsfQunXk8frHP2P3EnQfR4QTFxXAy6DH7fD2oaVk0w7oLa7dmt889bj39PD283tWhXz12/u8sl47fw+9RGEsm7VAcq7ZV37vt2LmdObn3Fg/uZLz54+UeyJqfD3P24F1efoZeXu/q0NOZHX9d5OLpB/h5h7Noxl709LVp3LJSlts8fhjCueP38HsSQVhwNKePuHHjijcVqxVTWU9DQx3XuZ3ZsPIUIUF525jxMRo5w7ih0MIF1GUAo8hjBSKLJSVlf1fuS2BrY4J5IUNu3PJVLktKesVdjwAqlvuwCy59fW1exCZm+b6WpgbaWprZrpMbbG1NMTc35OZ1H+WypKRXuN0NoEKFD4tJ752Y7rkH4ljSinLlCwNgZWVMnXql+Pfq46x2kSs01TQob2LLlXDVz7kS4U1Vs4wn+TcaWJWioXVp5rvnrLW4rLENVc2KciPS91OS+0EKW5lgYWbIv27pn/ky+RV3HgZSqXThT96/jrYme34fwv7lQ1k8sQOlHaw+eZ/vsrMwwcLUkKse6ReRL5NfcdsrkMols46hkqOtyjYAV+75Ut7eGg0NRTF351EQZYpaUrGELQDWhYxoVNWRS+4+GfaX2+zMTbA0MeDKw7fjSuGWdyBVi2cdV+XitirbAFx54Ef5YtZoZnGFoKWpgY6mBjHxWZcPHepU5NCNhyQmv/rASLKmpa5OBVtrLj5RTe+lJ35UK/Lp+e+NctaWVCtSmH/98/7CW0tNg/KmhbkcrtqieCncm6qFsi4vGlqXwsWmNHPdj+T4sww0tXmelLdl+ttsihaikJUxty6kd2dOepnMvX+fUN7JIdtt2/Spi5mlEduWn8hynf7ftyYsMOqzdLt9mzKui+k3aZJevuLedR/KV3fIdts2fepiZmHEthx2Qa1atyRFSlhx79+8K0O01NWpWMiGCyGqn3Ex1AcniyI52oe9oRmNCpfgWrhqha9PqepY6hmw/N6lXEvvh7Ap8vpYXUrvGaI8VtWyvwncppez4litOp3XyfxgNnZmmFsYcfNqermR9PIV7rf9KF8563LjXY5lbChfuWiGVtcBI5sSFhzNyUN3cy3NIp+lpn45fwVMnnYtHjFiBJcuXeLSpUv8+eefANy+fZslS5Zw/vx5wsPDKVy4MP3792f06NGov74wGzFiBFFRUdSpU4f//e9/JCUl8fjxY27cuMH48ePx9PSkdOnSTJ06lW7dunHgwAEaNGgAwMOHD5k2bRqXL19GV1eXRo0aMW/ePKytrZk/fz5bt24FwNTUFEBl209RyMwAgKjoOJXlz57FYWGe8+46HdpUw9LciOOnM7b6vTGoXwMSEpO5lMeVPrNCipiePcskJoucx9S+gxOWlkacOO6uXHbm9H2MjfX45be+qKmBpqYGx4+587/VZ7LZ06cz09ZHU12DyJeqMUW+jKW2ZYlMt7HQMWRG1XaMu76d+JTsb6qc/Go8ZtoGaKir84fnWXb6fb6LOHOT13nwnZbSZ8/jsTAz/KR9+4dEMW/1MR75RaCvq023VtVZPaMHfSdvJDA0+pP2/TZzE30AImNUY4iKicfSNOsYzI0N+DdG9SItKiYeTU0NTA31iHwex/HrnpgY6vLnD91QQ5HnDl2+z++7LuRa+rNiYfw6rheqcUXGxGOVTVwWxgZc81SNK/JFPFoairiexsRl2GZUm7rEv0zm3L0nme6zTtliFLEwYe/lex8aRrbM9PXQVFfnaZxqjE/j4qlTXP+T939+9GAK6euhoa7O8gtX2XYr77sVm+roK2LKUF7EUUcn8+NmoWPIrKrt+O7f7cS/ytlN2J7Fa2Kja8yBgM93YWpmqeiK+eypapfv6KcvMLfJvKswgEMZW3qPacG4jr+RmsVMm9UblKZh26qMar0k9xKcQ2aWinNTpnFl0QUawKGMDb2/+4pxnZZlGReAvpEumy9PRUtbk9TUVFZM38uNc3nXrdjsTR5MVM2DEQlx1LNxyHbbXc37UrGQDToammx9dJtFd84q3ytjasmYSvXpeOyvXO99klNmlorfUIZjFRmLuZVxZpsA4FDamt4jmzKu+8psj1V+KWT+Oq5I1WMWHRWHueX7r502HxqPiZk+GhrqbPnzHId2p19HVK/tSKOvKvBtrz9yN9FCFFB5WpFdsGAB3t7elCpVimnTpgGKCqStrS0bNmzA3NycW7duMWbMGMzMzOjXr59y20uXLmFsbMyuXbtIS0sjNjaW7t2707hxY1avXk1oaCiurq4qnxcaGkrr1q3p27cvs2fPJjk5mdmzZ9OzZ09OnjzJ6NGj8fLy4tmzZ6xevRoAMzOzj4qtmUt5JoxKH3cxecZuIGM3dzU1NdLIWUHbsG5pRgx0YebPBwiLyDjuBaBzOyfatarC+Cnbic9ijOrHatqsAuMmpI/I/3HyDgDS3glKTY0cx9SgYRmGDm/CnFn7CA9Lj6lylWL06VeP3389yoP7wRS2M2Pk6K8Y8E1DNqw/nwvRZC9j+tWyHKMwv3pndvjewO1Z5hNrvK3/pXXoa2hT2awo48o3IzD+GQcD8+aCu3m9skwa/JXy9fc/7wWyCuPTTvb3HoVw71GI8rW7VzAbF/Sla4tq/PLXx998aFm7LD/2baZ8Pfb3fYp/MvyQ3h/Bu8dU7c2Y0Nf7ql66CIPaOrNgyynuPQmlqJUp3/dwYVj7uqzen7uTcrWuUZafejRVvh79x77XScmYxvddQ2YsU94sz7hhr0bV6FyvEsNX7CYuMfPyoVPdStzzC8UzKOtJR3KTmloODl4O9Nq4A31tLara2fJ9kwYERsew/96DT99xjrxz3DIsSfdzjU5s872eo/IC4KvC5fi+QnO+v7GL4GzG3H6qxu2rM3puV+Xr6YMU490zZKNs8qSWtgaTf+/Lmnn/EBYYlek6xmYGjF/Uk4VjNhMbk/VQhdzSuH01Rs/ponw9fZBiQqkMvw81tUx/M/A6rt/6sGbegSzjeiMh9iUj2y5FT1+HqnVLMXTK14QHRnHnct7eWP6YsmP0xX0YaGpTzswa1+qNGV6hDqs8rqCtrsHv9doz7/ZpAuPyLs+9q/HXVRk9s6Py9fRhG4DMz1lZXWNoaWkweWkv1vx8mLDAL6NbbeOWlRjz49fK11PHbnn9X8ZyIydl4YQh69DT06ZcpSIMGv0VocHPOHXYDWMTfb6f0YEFP+0m9sXn670hxJcsTyuyJiYmaGlpoa+vj7W1tXL5lClTlP/b29tz9+5ddu/erVKR1dHRYfny5ejoKCb/WL9+PSkpKSxbtgw9PT3KlSvHhAkTGDJkiHKbtWvXUrFiRWbOnKlctnr1ahwcHLh9+zZOTk7o6uqio6Ojkp6PcenaYx54ps8KqqWlAYC5mQERb91dNDXV59mz948lbFi3NFMmtGHe0kMqMxa/rXM7Jwb3bcAP03fy0Cv0k9KfmcuXHvHgQcaYChUyJCLi7ZgMiI7K2BL0rgYNyzD5x3YsnH8gw4zFAwc14vSp+xx+3TXGxycCPT0tJkxsw8aNF0hNyZu7rM+S4nmVmoLFO60p5joGGVpp33C2LEENc3uGl24EKC4gNNTUud12GnPdD7HLL3321KD4aAAevQjHXMeAb8s0zrOK7MWb3tx/nJ4PlHnQVJ/wqPTjZWain+vjWVPT0njwJIyiNh93I+iN83e8ueeTHoO25usYTAwIe5Y+ZrKQkT5RmbQ+vhEZE4e5sYHKMjMjPV69SiE6TnHCH9GhLsf/fcj+C4qWSO+gp+jpaPFT/69Yc+AKKbl4Z/+suzfuvukVf21NRVFrYWxAWPTbcekR9SLrY/M0Jk7ZmqvcxlCf5JQUnsepXsj0alSNkW3rMnLVXu75ZT47q5mhHi6VHJm/M/e74z2LT+BVaioWBqrpNdfXy9BK+zECnytuhHlFRGJuoM/ohs55XpGNfhmviOmd8qKQjgGRLzMf06soLxz4towLoLjxoKGmjlu7acy+e4idb5UXXxUux4LqnXC9tTfPZyy+etKDh2+NJdTSfl2+WxrxNCRaudzU3JDopxkn5gJFK659aRvG/9yD8T/3AEBNXQ11dXUOPlrEtIF/kpyUgrm1CfM3D1dup6auuPty8NEihrX4maBsZm798Lju8/DO0rfi0nwdlzFPQ9IraYq4Mj9m6XF1Z/zP3VXj8lrItIFrlV2V09LSCPFTjPl98iCYoiWt6P5t0zyryD57nQct9VTzoIWufoZW2neFxCuO4+OYSDTU1Fjg3Jr/3b+KpZ4hpU0t+dm5DT87twFAXU0NdTU1HvWcxMAzO7gQmvvdpa+evs/DuwHK1yp5MDSHx8rKGPtS1oyf14Xx8xQ3MJTHymMu04ZuUOmq/DlcPe+J5730oQ5v4jIzNyTirRv4JoUMeBaVeVxvCwuOBsDXOxxTc0P6DHXh1GE3HEpaYW5pxIIV6dfKb35bh69OY2j3FQT6fd7x6CKXyGRPHy1fZi1et24dGzduJCAggMTERJKTkylaVHXcQLly5ZSVWAAvLy/KlSuHnp6eclmNGqqTbdy9e5fLly9jZ5dx/KaPjw9OTk4Zln+shIQkgt5pEY2MiqVGNQcePlJcmGtraVC5QhFWrT2b7b4a1y+D6/jWzF96mHOXMp98pVuHGnzTpz6Tpu/Ks8fuJCQkkRD0TkyRsTjVKI6np+KiXEtbg0qVi/K/P7K/EG7kUo5Jrm1ZOP8g5zPpdqWjo+iW9baUPKq8vu1VWgr3n4dQx9KR4yHpk7A4W5bgZEjmF8Udz6xQed3YpixDSjWg14U/CU/MvOUcFBcG2uoauZPwTMQnJhOfGK2y7OmzWGpVsufBE0VFRltLg6pl7Fj+d+63cpcsZslj/0+7II1/mUx8eLTKsqfRsdQub89939cxaGpQtZQdv+/MOgZ37xBcqjmqLKtd3p77fmGkpCjyma6OVobKampqKmrkvviXycS/VG3piHgeh3PZYnj4p8dVrYQdv+zPumuzm08IjSurxuVc1p77/mG8euv306dxdb5tU4dRq/apPHbnXe2dK5D0KoWjN3O/0pScmopHSBj1Sthz9GH6hWTd4vYcf5i7F5bqampoa+Tdb+uN5LQU7kcHU8fKUWXSprpWjpzIZBIngHanVqq8bmpbhqGlG9L9nGp50bJwBeY5deDHm/s4nsW+clNC3MsMM/ZGhcdQrX5pvNwUlQstbU0q1izBmvkHMt1HZNhzhrf4WWVZ2z71qFa/NLOHrycsMIq0NDKs029CK4xM9FkxbTdhAdm3eH6orOMqpRpXjeKsWXAw031Ehj1neMvFKsva9qlLtfqlmD38r2xbadXV1ZSV57yQnJrKvahQ6ts4cNg//Vxa36Y4RwJy3qVZ/fUNWA01dcLiX9Di4J8q7/cp7UR9GweGn9+dZ620CXFJJMSpVrSiwmOoVrckXu6KHgyKY+XAmp8zn48iMuw5w9v+orKsbS9nqtUtxexRmwjLh8mPEuKTSIhXzSORT19QvbYjXvcV5bGWtiYVq9qz5vfjH7RvdTU1tLQU+cvTI4ih3VXLlwEjmmBopMvynw8TGhT98UEIUUB99orsnj17cHV1Zfbs2dSqVQtjY2P+/PNPDh5UPcEYGKi2rqSlpaV3FcxCamoqzZs3Z86cORnes7S0/PTEv8fO/Tfo270OfoGRBAY9o2/3OiQkJHPyXHoF6cfxrQGYt1RRSDdpWJYpE9qwcu1Z7noEKsfaJienKCdH6tGpFoP7NWDu4oMEBj9TrvPyZTJxWUzjnlv27PqXXn3q4e8fSWBgFH361iMhIYlTJ9PH8E5yVXSpWfj64qdxk/JM/vFrVq86jZubv3Ks7avkFF687g5z5cpjunSthZdnKA/uB2FnZ8Y3gxpy9crjPGuNfWOj92XmV++Ee3QQt6P86eZQEytdI3a8fkzOmHLNqGhqx5ArfwHw+IXq8+wqmBYmjTSV5b2K1yYw/hm+sYrn6zqZO9Dfse5nffQOwPYjtxjQoTa+wVEEhDxjQEdn4l8mc/xSeh6c9vp5sLNWHVUuK2Wv+H3o6+mQmqZ4nfwqBd8gxcl5YOc6eDwKJiA0GgM9bbq1rE7JYhYsWpf7z+XbevI237SphW9oFP6hzxjUtjYJL5M5ei39ou3No3Gmr1PEsPvcXbo1qcr47i7sOe9GlZKF+bpeBab8L/1i6MLdJ/T6qjoPfMO45xNCUStThneox0U3H2UFV09Hi6JWpoDiAsKmkDGli1ryPC6RsKjMW6lyasvZWwxuXgufsGf4hT9jSIvaxCclc+RGelyz+7YAYOomxXN8d15yo0fDqkzs1Ihdl9ypWqIw7WqXZ/KG9Lj6N3ViVNt6TNl4FL/wZ5gbKVpEXya/Ivad7sWd6lTk2C3PLB/386nWX7vFz+1b4hYcyq2AYHpUr4yVkQFbX49nneBSj8qFbej/927lNo4WhdDW0MBMTw99bW3KWSvy4oMwxU2SvjWqEhD9HJ9IxQVqzWJ2DHJ2+iyP3gHY4H2FhU6dcH8WxO1If7oXr4GVrhHbfRTj1saVb0olMzsGXtoIZCwvKpplLC9a2VVkgVNHFt07zo1IP2WLb3JqCs+T87477hv71p2nx8hmBHiHE+QTQc9RX5EQ/5Kz/9xSrjNhSU8AlkzYSsqrVPze6Q0UHRlLctIrleXvrhMXk4CGhnqG5Xll3/oL9Pi26eu4ntJzZNPXcd1WrjNhsaJFecn327KO62WKyvIe3zbl4V1/Qv0j0dLWpKZLOZp0cGLVzH15Gs+ah/+ytM7X3I0M4UZEIL1LVcNKz5C/HynimVi1EVXMC9PnlGIOkI7FK/Iy5RUPo8NJTk2lciEbJlZ14Yj/Q5JSFY9M83qu+iz4yMQ4klJTMizPa/s2XqLH8MYEPIkgyPcpPUc0ISE+ibMH7yjXmbCwGwBLJu1QHKt3ngccHRmnyINvLdfU0qCYo2JCQm0dTcwsDSlR1paE+CRCPsMs2vu2XqXHNw0J8H1KoH8kvQY1JDEhiTNH0+cKmfi6m/Wi6YphQe261yIsKJoAP8UxqFTdns596iofvfMyMRk/b9XyJfZFouK39c7y/BQXD2/m4ktNheAwePAITIyh8Kd1hhQigzyvyGpra5OSkv6syStXruDk5MTQoUOVy3x83t+FpUyZMmzbto2EhARlq+zNmzdV1qlSpQp79+6laNGiaGlp5Sg9uWnrrn/R0dZi3IivMDTU5YFnCN9P3aHyvFUrS9UJDNq1qoqmpgbfDWvKd8PSx9TddvNnrOs2ADq0rYaWlgYzXNurbHvkpDsLfsn5rJgfY9vWq2jraPHd2BYYGeny4H4wkyZuU43pnee3tW1XDU1NDUaO/oqRo9PHcN6548eE12NHNm+6SFpaGgMGNsTS0ojnzxO4cvkR69acy9N4AI4Fe2Cqrc/Q0g2x1DHi8Ytwvr26RflMSEsdQ4oafFiXWXU1NcaV+4rC+qakpKUSEBfFrw9OssP3887YufnAdXS0Nfn+m6YYGehy3zuEsfN2qTxD1toi4yQaGxf0U3ndwMmRkIjndPpOMY7OSF+HSYObY26qT2x8El6+4YyYtZ373rl/YfrXUUUMk3o1wchAl3tPQhm1dLdK5cvmnQnUgp/GMOa3vYzv3oguLpWJiI5j8dYzymfIAqw9eJW0tDSGd6iLlZkR0bEJXLjrzcq96TN2lnewZvXEbsrXwzvUZXiHuhy45MHM9cc+Ka4NJ2+gq6WJa9cmGOvr4O4byogVe1TisjV7J67IGEb9sZfvOzWia/3KRMTEsXDXWeUzZAG6N6iClqYGPw9so7LtP9c8mLY5/e5/jVJFKGZlxo8b867MOPzAC1N9XUbUq4WVoQFeEZEM2baP4NfPkLU0NKComeqEO39270AR0/Rl+wf3AaD0XEWri7qaGhObNMDOxJiU1FT8o6NZfOYiWz9TRfZokKK8GF6mIZY6hjx6Ec6wK1uU41ktdI0oalDog/bZvXgNtNQ1+LFyK36snD4vwb9PfRlwcUNuJj9bO1efRltXi5GzOmNooofnHX+m9Fut0sJpVfjThg/kh52rzyjimtkpPa7+f35yXLoG2oya3QkLG1OSEpMJ8A5n8fdbOXfgTi6mPqNDfg8w09ZjVMW6WOoZ4hUdwcCzOwiKU7TwW+kaYm9oqlz/VWoqIyrUwcHIDDXUCIp7ziavm6x9+HlvrObEzj/Poa2jxchp7RXH6m4AUwauVXmGrJWt6Qfvt5CVMSv2j1G+LmxvQZsezrhde8Kkfv/LjaRna8dflxRxTWqNkZEeD+8F4jpqk8ozZC3fmVRNQ12dQaObYV3YlJSUVIIDn7Fu+UmVyZ4KAg9P6D82veFp+XrFX4eWacx3zWbD/8fSCuBswV8Ktejo6Dxt/hozZgx37txh48aNGBoasmPHDubOncv69espUaIEu3fvZvny5ZiYmODurrhT9WbW4u3btyv3ExsbS5UqVWjatCnjx48nNDSUH3/8kfv373Pw4EHq169PSEgIDRo0wNnZmbFjx2JhYYGvry979+5lzpw5GBkZsWTJEtatW8e+ffsoVKgQxsbGKpXedr1W5+XXkW8043LvMRtfivDx2T/YvqAy3Jr1bI0FWbJBXnTizV+v9P57MQHE27x/nYJIs8Lnm9jmc7Efl/XwhgJNrUA8HfCDPZxtnt9JyHVlZ/33flcAqUa6+Z2EPHHk4N/5nYQ88ULvy7tRk1Pd7L7L7yQo7Qj6Pb+T8EHy/EwxevRotLW1cXZ2xtHRka+++ooOHTowePBgGjdujL+/PyNHjnzvfgwNDdm2bRsPHjygYcOGTJ06lUmTJgGgq6sobGxtbTl27Bjq6up07twZZ2dnvv/+e7S1tZXjbfv370/p0qVp3Lgxjo6OXL16Ne+CF0IIIYQQQgiR6/K8RTYvHTp0iD59+vD48WPMzXPnLqe0yBYc0iJbsEiLbMEhLbIFh7TIFizSIltwSItswVKgW2QLj87vJCjtCF6W30n4IPkya/HH+vvvv3FwcMDOzo4HDx7g6upKy5Ytc60SK4QQQgghhBDiy1egKrIRERHMnz+fsLAwrKysaNGiBTNmzMjvZAkhhBBCCCHEh8vF59j/f1OgKrJjxoxhzJgx719RCCGEEEIIIcR/1n9zEIoQQgghhBBCiP+sAtUiK4QQQgghhBD/GWnyHNmPJS2yQgghhBBCCCEKFKnICiGEEEIIIYQoUKRrsRBCCCGEEELkgzSZtfijSYusEEIIIYQQQogCRSqyQgghhBBCCCEKFOlaLIQQQgghhBD5QWYt/mjSIiuEEEIIIYQQokCRFlkhhBBCCCGEyAcy2dPHkxZZIYQQQgghhBAFilRkhRBCCCGEEEIUKNK1WAghhBBCCCHyg0z29NGkRVYIIYQQQgghRIGiFh0dLSOMhRBCCCGEEEIUGNIiK4QQQgghhBCiQJGKrBBCCCGEEEKIAkUqskIIIYQQQgghChSpyAohhBBCCCGEKFCkIiuEULpw4QKmpqZERkbmd1Ley8/PD1NTU27fvv1J+xkxYgTdu3fPpVR9nNTUVMaOHUvx4sUxNTWlTZs2TJw4MV/T9P9JbuX73M5L8+fPp06dOrm2v/+SnPz+b9++jampKX5+fp8xZXlbjhakMlqk+1LLGCEKOqnICvGF+VyVGKksfTmOHz/Oli1b2LZtG56eniQnJ+d3kvLMl3AhLnlfCJGXCmoZ86WlWyru4n008zsBQogPl5ycjJaWVn4nQ+SSJ0+eYG1tTe3atQG+6GOblJSEtrZ2fidDCCHEF0jOEeJzkhbZXHby5ElatWqFvb09Dg4OdOrUCU9PT+X7N27coGHDhlhbW9OgQQOOHz+OqakpFy5cUK7z8OFDunXrRpEiRShZsiSDBg0iLCwsP8JRcenSJZo1a4adnR3FihWjadOm3L9/H4Br167RunVrbG1tKVeuHOPHjycmJgaAixcvYmFhoRLjunXrKFq0KL6+vvkRSpbS0tJYtmwZ1atXx8rKivLlyzNz5kxlN7adO3fSsmVLrK2tqVmzJqdPn87Vzx8xYgSXLl3izz//xNTUFFNTU7Zs2YKpqSnHjx+nSZMmWFpacurUKdLS0vjtt9+oWrUqNjY21K1bl+3bt6vsb+HChVSsWBErKytKly7NsGHDsvyct7vfXb9+nfr162NtbU2jRo24c+eO8r0tW7ZgZ2fHkSNHcHJywtramrZt26ocy8DAQHr27ImDgwO2trbUrFmT3bt3f9R3ktUxecPf358OHTpga2tL7dq1OXPmjMr2ly5domnTplhbW1OqVClcXV1JSkr6qLTkhREjRvDjjz8SGBiIqakplSpVAuDVq1dMmjQJe3t77O3tmTp1Kqmpqcrt/vnnH+rWrYuNjQ0ODg60bt2a8PDwXE9fmzZtGD9+PD/99BOOjo60aNHivWWUh4cH7dq1o2jRohQpUoR69epx/vx5/Pz8+PrrrwFwdHTE1NSUESNGAOQoP4eEhDBkyBCKFy+Ora0t9evX5/z588r3ly5dSqlSpbCzs2PYsGEsWLBA+X2+kVne9/f3B+DevXs0bdoUW1tbXFxcVPJ9VFQUgwYNonz58tjY2ODs7MzmzZuz/e7edz7ISUwAu3fvpmrVqhQpUoRevXp9UGt2dt/rqFGjcHZ2JiEhAYCUlBRatmyp0gIyY8YMatSogY2NDZUqVWLatGkkJiYq33/T/Tm7NL569QpXV1dlXnZ1dWX8+PG0adMm27S/fPmSyZMnU6pUKaytrWnWrBlXrlzJcv2TJ09Ss2ZNrK2tadWqFY8fP1Z5PydlF8CRI0do1KgR1tbWVK5cmdmzZ6uUGdu3b6dx48bK/N+/f3+Cg4OzjaN37940bNiQiIiIbGN+I7vz7bvelAVWVlZUqFCBxYsXk5aWpny/UqVKzJ8/n6FDh2JnZ0fp0qVZtmyZyj6eP3/OmDFjKFmyJEWKFKF169afPGzjU2RX7r8vT+a3z1nG5HW6fXx8GDVqFJUrV8bGxobq1avz22+/qZyL3rSa/vrrr5QvX57y5csDn369O3/+fLZu3cqxY8eU6Xl7WyFAKrK5Li4ujuHDh3P69GkOHjyIsbExPXr0ICkpidjYWLp3707p0qU5e/Yss2bNYtq0aSrbh4aG0rp1a8qVK8epU6fYt28fsbGx9OzZU6Xg+NxevXpFr169cHZ25uLFi5w8eZLhw4ejoaGBh4cHnTp1olWrVly8eJFNmzbh7u7OqFGjAKhfvz7fffcdw4cP59mzZ3h5efHTTz+xcOFCHBwc8i2mzMyaNYtFixYxbtw4rl69yoYNG7Czs1O+P336dIYNG8aFCxdwcXGhV69e2V7AfKgFCxZQq1YtevfujaenJ56enhQpUgRQnLx/+uknrl+/To0aNZgzZw6bNm1i8eLFXL16lXHjxjFu3DiOHTsGwP79+1m+fDlLlizh5s2bbN++HScnp/d+DsDUqVOZOXMmZ86cwcHBgW7duhEfH698/+XLlyxcuJAVK1Zw/PhxUlJS6N27t/LiacKECSQkJHDgwAGuXLnC/PnzMTEx+ajv5H3HZM6cOQwbNoyLFy9SrVo1Bg4cSGxsLADBwcF07dqVypUrc/78eZYtW8bu3btVKsL5bcGCBfzwww/Y2dnh6emprIjv3LmT1NRUTpw4wa+//spff/3FypUrAQgLC2PQoEH07NmTa9eucfjwYXr06JFnadyxYwdpaWkcOXKEhQsXvreMGjJkCDY2Npw6dYrz588zefJkdHV1KVKkCBs3bgTg6tWreHp6smDBAoD35ue4uDjatGmDv78/mzdv5vLly/zwww/KNO7evZuFCxcydepUzp07R5kyZZTf17vfd1Z5f+bMmUyfPp1z585RqFAhhg4dqszTiYmJVKlShW3btnH16lWGDx/OuHHjOHfuXJbfW3bng5zEBIobNXv27GHz5s3s2bMHNzc3Zs+eneNjl933unDhQpKTk5k6dSoAixcv5smTJyxfvly5vb6+PsuXL+fatWssWbKEPXv2sHjx4g9K47Jly/j777/5/fffOXnyJKmpqezateu9aZ82bRp79+5l+fLlnD9/nvLly9OlSxdCQ0MzrBsYGEjv3r1xcXHhwoULDB06lOnTp2dY731l16lTpxg6dChDhgzh6tWrLF++nP379zNr1izlPpKSknB1deXixYts376dyMhIBg0alGkMMTExdO7cmWfPnnHw4EEsLS3fG3d259t33blzhwEDBtC2bVsuX77M9OnT+eWXX/jf//6nst7KlSspXbo0586dw9XVlVmzZvHPP/8Aikpj9+7dCQkJYfv27Zw/f566devSrl27TL/rzyG7cj8neTI/fc4yJq/TXbhwYWxtbdmwYQPXrl1j6tSpLFmyJEMF+9KlS3h4eLBr1y7279+fK9e7o0ePpmPHjri4uCjT86bXkhBvSNfiXNa+fXuV1ytWrKBo0aLcvHmThw8fkpKSwrJly9DT06NcuXJMmDCBIUOGKNdfu3YtFStWVLnQXr16NQ4ODty+fVtZEfncXrx4wfPnz2nZsiXFixcHoHTp0gAMGzaMjh07Mnr0aOX6S5YsUd59trS0xNXVlTNnzjB69Gj8/f1p0aIFvXr1ypdYshIbG8vKlSuZP38+ffv2BaBEiRLUqlVL2Vo5cOBAOnbsCChaO0+fPs26dev46aefciUNJiYmaGlpoa+vj7W1NQBeXl4ATJo0iSZNmgCKC+AVK1awZ88e6tatC4CDgwM3b95kzZo1tGjRgoCAAKytrWnSpAlaWloULVqUatWqZfk5b5s4cSJNmzYFFHm4fPny7Nq1i379+gGKC60FCxbg7OwMKPJo1apVOXfuHC4uLgQEBNCuXTtla9jH3rDIyTH59ttvadWqFaC48N22bRvu7u7UqVOHtWvXYm1tzZIlS1BXV6dMmTJMnz6dcePGMWXKFPT19T8qXbnJxMQEIyMj1NXVVY6FtbU1P//8M2pqapQuXZrHjx+zcuVKRo0aRUhICMnJybRv355ixYoBKO+C54VixYoxd+5cAObOnfveMiogIIBRo0Ypy4gSJUoo1zUzMwPA0tISc3NzIGf5edeuXYSHh3PixAnldm/KIoA//viDXr16KfPo+PHjuXDhQoZWuex+Y1OmTKFhw4YA/PDDD7Rs2ZLg4GDs7OwoXLgw3333nXI/AwYM4Pz58+zatYtGjRpl+r1ldz6oU6fOe2MCxW9t5cqVyhtBAwYMYMuWLZl+3rty8r2uWbOG5s2bY2Zmxi+//MLWrVtVKltvV6zt7e0ZP348y5YtUynz3pfGP/74g7Fjxyq/jwULFry3N0tcXBzr1q3j999/p0WLFgD88ssvnD9/njVr1ijLgzfWrVtHkSJFMvxm3uTbt9OaXdm1ePFiRo8eTZ8+fQDF8ZgxYwbDhg1j9uzZqKmpqXy2g4MDS5cupVatWgQFBancZHv69ClDhw5VVgR0dXWzjfmN7M637/a6WLFiBfXq1ePHH38EoGTJknh7e/Pbb78pe+AAODk58f333yvXuXXrFitXrqRdu3acP38ed3d3Hj9+jJ6eHgA//fQTR48eZfv27YwZMyZH6c4t2ZX7kLM8mZ8+ZxmT1+l+k+Y37O3tuXv3Lrt371aWtQA6OjosX74cHR0dANavX58r17u6urro6Ohkep0iBEhFNtf5+Pgwd+5cbty4QWRkJKmpqaSmphIYGIiXlxflypVTnigAatSoobL93bt3uXz5ssrJ8O1951dF1szMjF69etG5c2caNWpEw4YN6dChA0WKFOHu3bs8efKEvXv3Ktd/c4fRx8cHS0tLtLS0WLNmDc7OzlhaWirvBH9JPD09efnyZbYnjJo1ayr/V1dXx8nJiYcPH36O5CkroaBIa2JiIl26dEFNTU25PDk5WVmx6dChA3/88QdVqlShSZMmNGvWjFatWilPNNl5c8EAYGhoSIUKFVTifBP7G8WKFcPW1paHDx/i4uLC8OHDGT9+PKdOnaJRo0a0bduWqlWrfnDMOTkmFSpUUP5va2sLoOy+5+npSc2aNVFXT+98UqdOHZKSknjy5AkVK1b84DR9LjVq1FA5trVq1WLu3LnExMRQqVIlXFxcqFu3Lo0bN8bFxYX27dtjYWGRJ2l5+9jlpIz69ttv+e6779i6dSuNGjWiXbt2ygvxzOQkP7u5uVGhQgVlhe9dXl5eKhdWoLh4f7cim52385KNjQ2gyEt2dnakpKTwyy+/sGfPHkJCQkhKSiIpKYn69etnub/szgc5iQmgaNGiKr0ZbGxsePr0aY7iycn3Wq1aNSZMmMCCBQsYPHgwX331lco+9u/fz6pVq3jy5AlxcXGkpKSQkpKS4zQ+f/6csLAwqlevrnxfTU2NatWqERQUlGXafXx8SE5OVlY4ATQ0NKhVq1amZa6np2emv5l3va/sunv3Lrdu3eK3335TrpOamkpCQgJhYWHY2Nhw584dFi5ciLu7O9HR0crzXWBgoMrvolOnTlSuXJlNmzahqZnzy63szreZxd28eXOVZXXq1GHhwoXExMRgbGwMqJ673rw+cOAAoPhNx8fHU7JkSZV1EhMT8fHxyXG6c8v7yv2c5MkvVW6XMZ/DunXr2LhxIwEBASQmJpKcnEzRokVV1ilXrpzKtUVBvt4VBYtUZHNZjx49sLW15ddff8XW1hZNTU1q165NUlISaWlpKifZzKSmptK8eXPmzJmT4b2cdEnKSytXrmTEiBGcOnWKI0eOMGfOHLZs2UJqair9+vXj22+/zbDNm4oFKMZdpqam8vz5cyIjIzE1Nf2MqX+/t8cUfYkMDAyU/7/pwrl169YMJ5Q3F0xFihThxo0bnDt3jrNnzyq7c588eVJlX3mhX79+NG3alBMnTnD27FmaN2/OuHHjcHV1/aD95OSYvD0x0pvf15vtsvvNve+3+CXT0NBg7969XL9+ndOnT7Np0yZmzpzJoUOHMowJzQ3v5r33lVGurq5069aNEydOcPr0aRYuXMjSpUsztKK9vU/IPj/nJC986jHNLi8tW7aM5cuXs2DBAsqXL4+hoSGzZs3KdsxjdueDt/ed0zS9SVdOh5nk9Hu9evUqGhoa+Pj4qPxmrl+/zsCBA5k0aRLz5s3DxMSEw4cPK7sif0gaP/TYvPluMtsus2W5VX6npqYyadIkOnTokOE9CwsL4uLi6Ny5My4uLqxevRpLS0siIyNp1apVhrH3LVq0YO/evXh4eFClSpUPSkdW59t3J9HJjTIuNTUVKysrjhw5kuE9IyOjD0p3bsjuWOY0T36pcruMyWt79uzB1dWV2bNnU6tWLYyNjfnzzz85ePCgynrvXlMU9OtdUXDIGNlcFBUVhaenJ+PHj8fFxYUyZcrw4sULXr16BUCZMmW4f/++cmINgJs3b6rso0qVKjx8+JCiRYtSokQJlb/8OKG8q1KlSowdO5ZDhw5Rv359tm7dSpUqVXjw4EGG9JYoUUJ5N87Pz48ffviBxYsX4+LiwpAhQ5Tfy5eiTJky6OjoZDse5caNG8r/09LSuHXrFmXKlMnVdGhra7/37vKbtAYEBGT4zt+0tADo6urSokUL5s+fz+nTp3nw4AHXrl177+dcv35d+X9cXBz3799XiTM1NZVbt24pXwcEBBASEqKyjp2dHQMGDGDDhg38+OOP/PXXXx/2RZCzY5KdsmXLKm+gvHHlyhW0tbUzdOH80ty8eVPlgu769evY2toqW1jU1NSoVasWkydP5syZM9ja2qr0isgrOS2jHB0dGT58ODt27KBv375s2rQJQHkh/nbey0l+rlKlCh4eHllOdFS6dGmVPAlkeP1GTn5j77py5QotW7akR48eVK5cmeLFi2fb2vu+80FOYvpUOflely9fzt27dzl8+DDXr19n9erVyu2vXr2Kra0tP/zwA9WrV8fR0ZGAgIAPSoOJiQnW1tYqxyItLe29EwmVKFECbW1tlcmdUlJS+PfffzMtc8uWLZvpb+Zd7yu7qlSpgpeXV6bnM01NTR49ekRkZCRTp06lXr16lC5dOsuKxpQpUxg4cCAdOnTAzc0t23gzk9n5NrO4r169qrLsypUr2NnZqfwe3z53vXn9dszh4eGoq6tniDk/KhTZlfu5kSc/h89RxuSFd9N95coVnJycGDp0KFWrVqVEiRI5aqXPrevdj/kexf8vUpHNRaamppibm7Nx40aePHnCxYsXGT9+vPLOd9euXdHQ0GDMmDE8fPiQs2fPsnTpUiD9ztzgwYOJiYnhm2++4caNG/j6+nL27FnGjBnDixcv8i02X19fZsyYwbVr1/D39+f8+fN4eHhQpkwZxowZw61btxg3bpyym/HRo0cZO3YsoLj4GDZsGHXr1uWbb75h2bJlBAcHKyd5+VIYGRkxfPhwZs6cyebNm/Hx8eHmzZusXbtWuc66devYv38/jx49YvLkyQQEBDBw4MBcTUexYsW4efMmfn5+yu6ImaV19OjRTJ06lU2bNvHkyRPc3NxYt24dGzZsABQzdG7cuBEPDw98fX3ZsmULWlpayvGK2X3O4sWLOXPmDA8ePGDUqFFoa2vTpUsX5fuampq4urry77//4ubmxogRIyhbtiwuLi6AYjzvyZMn8fX1xc3NjZMnT35UhT8nxyQ7gwYNIjQ0lAkTJuDp6cmxY8eYOXMmQ4YM+SLGx2YnNDSUyZMn8+jRI/bv38/vv/+u7PVw/fp1Fi1axK1btwgICODw4cMEBQXl+k2VzLyvjEpISOD777/nwoUL+Pn5cePGDa5evapMW9GiRVFTU+PYsWM8ffqU2NjYHOXnLl26YGFhQe/evbl8+TK+vr4cPnxYOcPv8OHD+fvvv9m0aZNyjOCNGzcybRXIyW/sXSVLluT8+fNcuXIFLy8vJk6cqJyJNDPvOx/kJKZP9b7v1d3dnTlz5vDrr79Su3Ztli5dyowZM5Sz45YsWZKQkBB27NiBr68va9eu/ajZx4cPH85vv/3GgQMHePToEVOmTCEsLCzbFhsDAwMGDhzIzJkzOX78uPKmQEREBIMHD86w/jfffIO/v7/Kb2b9+vUZ1ntf2fXDDz+wa9cu5s6dy/379/Hy8mL//v3KiWqKFCmCjo4Of/75J76+vhw7dox58+ZlGcfUqVP55ptv6NChA+7u7jn6vrI7375r5MiRXLp0ifnz5/P48WN27NjBihUrVMZagqLiunTpUry9vfnrr7/Ytm2bsjxxcXHB2dmZXr16ceLECXx9ffn333+ZN28ely9fzlGac1N25X5u5cm89jnKmLzwbrpLlCiBm5sbJ06cwNvbm59//jlHeSK3rneLFSvGgwcPlDeQ/svPWBcfRyqyuUhdXZ1169bh4eFBnTp1mDhxIlOmTFGOGzA0NGTbtm08ePCAhg0bMnXqVCZNmgSgnATC1taWY8eOoa6uTufOnXF2dub7779HW1s7R2Mb84q+vj6PHz9mwIAB1KhRg2+//ZauXbsyduxYKlasyOHDh/H396dt27bUr1+fWbNmKe/kLlmyRGUmzEKFCrFq1Sp+/fXXbB+lkB+mT5/O2LFjWbRoEbVq1aJfv34qsxJPnz6dFStWUL9+fU6dOsXmzZszHd/xKUaPHo22tjbOzs44Ojoqx9O9a8qUKUyePJnly5fj7OxMx44d+eeff7C3twcULSGbNm2iVatW1K1bl3/++YdNmzYpJ15693Pevqs9ffp0pkyZQqNGjfD29mb79u0qXYd0dHSYMGECw4cPp1mzZqSmprJ582blCSo1NZUffviB2rVr07FjR6ysrFi1atVHfR/vOybZKVy4MDt37sTNzY0GDRowatQoOnfunGH2xC9R165dSU1NpWnTpnz33Xf07dtXeeFpbGzMtWvX6N69O05OTvz0009MnDjxszw4/n1llIaGBtHR0YwYMYKaNWvSp08fatasqZx0p3Dhwri6ujJnzhxKlSrFxIkTgffnZwMDAw4dOoStrS09evSgTp06zJ8/X5nnOnfuzMSJE5k5cyYNGzbk/v37DBw4MNMJdnL6G3vbxIkTqV69Ol27dqV169bo6+vTtWvXLNd/3/kgJzHlhqy+V2tra4YOHUqXLl2UkzB16dKFdu3aMWTIEF6+fEmrVq347rvvcHV1pV69epw5c0Y5qdCHGD16NN27d2fkyJE0a9YMUDzW6X2TH82cOZMOHTowcuRIGjRooJwV9c3YwrcVLVqUTZs2cerUKerXr8/KlSsznbX4fWVX06ZN2bFjBxcvXqRp06Y0bdqUX375RTk+1cLCglWrVnHo0CFq167NwoULM0wo9a5p06bRv39/2rdvn6PKbHbn23dVrVqVDRs2cODAAerUqcPMmTMZO3YsQ4cOVVnv22+/xcPDg4YNGzJnzhx+/PFH5XFXU1Njx44dNGjQgDFjxlCzZk2++eYbHj9+rDI86HPKqtzPrTyZ1z5HGZMX3k33V199RYcOHRg8eDCNGzfG39+fkSNHvnc/uXW9279/f0qXLk3jxo1xdHTM0PtACLXo6Ogve2Dgf9yhQ4fo06cPjx8/znbCD5G//Pz8qFKlCmfOnFGZdOn/oy1btvDDDz9kO1GLEF+C3r178+rVqwzPoxX5r2HDhtSuXZtFixZ9ts/8/1p2VapUiaFDh6o8WUCIz02ud0VekMmePrO///4bBwcH7OzsePDgAa6urrRs2VJ+1EII8Qni4+NZu3YtzZo1Q1NTk3/++YfDhw8rn1sr8o+/vz+nT5+mXr16vHr1ig0bNnDv3j2VmYGFEP8tcr0rPgepyH5mERERzJ8/n7CwMKysrGjRogUzZszI72QJIUSBpqamxsmTJ1m6dCmJiYmUKFGC1atX8/XXX+d30v7fU1dXZ9u2bUybNo3U1FTKlCnDrl27/t/3bhHiv0yud8XnIF2LhRBCCCGEEEIUKDLZkxBCCCGEEEKIAkUqskIIIYQQQgghChSpyAohhBBCCCGEKFCkIiuEEEIIIYQQokCRiqwQQgghhBBCiALl/wC9ZP3QOlqP9gAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 1080x864 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "corr = df[col].corr(method = 'pearson')\n",
    "\n",
    "plt.figure(figsize = (15, 12))\n",
    "sns.heatmap(corr, cmap='viridis', annot=True)\n",
    "            \n",
    "plt.title(\"Correlation between Features Column\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1f6c5e89",
   "metadata": {},
   "source": [
    "From correlation matrix, we will drop column that has many negative correlation ( > -0.5 ).\n",
    "\n",
    " - oldpeak"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "760c4ad7",
   "metadata": {},
   "source": [
    "# Data Preprocessing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "1bb9dcde",
   "metadata": {},
   "outputs": [],
   "source": [
    "new_df = df.drop(columns = ['oldpeak'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "c8bbebaa",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(302, 13)"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new_df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "ac269dd7",
   "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>age</th>\n",
       "      <th>sex</th>\n",
       "      <th>cp</th>\n",
       "      <th>trestbps</th>\n",
       "      <th>chol</th>\n",
       "      <th>fbs</th>\n",
       "      <th>restecg</th>\n",
       "      <th>thalach</th>\n",
       "      <th>exang</th>\n",
       "      <th>slope</th>\n",
       "      <th>ca</th>\n",
       "      <th>thal</th>\n",
       "      <th>target</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>63</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>145</td>\n",
       "      <td>233</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>150</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>37</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>130</td>\n",
       "      <td>250</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>187</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>41</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>130</td>\n",
       "      <td>204</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>172</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>56</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>120</td>\n",
       "      <td>236</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>178</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>57</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>120</td>\n",
       "      <td>354</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>163</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   age  sex  cp  trestbps  chol  fbs  restecg  thalach  exang  slope  ca  \\\n",
       "0   63    1   3       145   233    1        0      150      0      0   0   \n",
       "1   37    1   2       130   250    0        1      187      0      0   0   \n",
       "2   41    0   1       130   204    0        0      172      0      2   0   \n",
       "3   56    1   1       120   236    0        1      178      0      2   0   \n",
       "4   57    0   0       120   354    0        1      163      1      2   0   \n",
       "\n",
       "   thal  target  \n",
       "0     1       1  \n",
       "1     2       1  \n",
       "2     2       1  \n",
       "3     2       1  \n",
       "4     2       1  "
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new_df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "82b2f3c1",
   "metadata": {},
   "source": [
    "## Split Dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "4fba93c5",
   "metadata": {},
   "outputs": [],
   "source": [
    "X = new_df.drop(columns = [\"target\"])\n",
    "y = new_df[\"target\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "244af392",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((302, 12), (302,))"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X.shape, y.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "218b28ab",
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size = 0.3, random_state = 42)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0dade0ae",
   "metadata": {},
   "source": [
    "## Scalling"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "9110caf1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "StandardScaler()"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "scaler = StandardScaler()\n",
    "scaler.fit(X_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "d75e607e",
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train_trf = scaler.transform(X_train)\n",
    "X_test_trf = scaler.transform(X_test)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "98b20f53",
   "metadata": {},
   "source": [
    "# Define Model, Training and Evaluation (Default params)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "4ef43407",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Evaluate function\n",
    "\n",
    "def evaluate(model, X_train, y_train, X_test, y_test):\n",
    "    y_train_pred = model.predict(X_train)\n",
    "    y_test_pred = model.predict(X_test)\n",
    "\n",
    "    print(\"TRAINING RESULTS: \\n===============================\")\n",
    "    model_report = pd.DataFrame(classification_report(y_train, y_train_pred, output_dict=True))\n",
    "    print(f\"CONFUSION MATRIX:\\n{confusion_matrix(y_train, y_train_pred)}\")\n",
    "    print(f\"ACCURACY SCORE:\\n{accuracy_score(y_train, y_train_pred):.4f}\")\n",
    "    print(f\"F1 SCORE:\\n{f1_score(y_train, y_train_pred)}\")\n",
    "    print(f\"CLASSIFICATION REPORT:\\n{model_report}\\n\")\n",
    "\n",
    "    print(\"TESTING RESULTS: \\n===============================\")\n",
    "    model_report = pd.DataFrame(classification_report(y_test, y_test_pred, output_dict=True))\n",
    "    print(f\"CONFUSION MATRIX:\\n{confusion_matrix(y_test, y_test_pred)}\")\n",
    "    print(f\"ACCURACY SCORE:\\n{accuracy_score(y_test, y_test_pred):.4f}\")\n",
    "    print(f\"F1 SCORE:\\n{f1_score(y_test, y_test_pred)}\")\n",
    "    print(f\"CLASSIFICATION REPORT:\\n{model_report}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9215255e",
   "metadata": {},
   "source": [
    "### Decision Tree"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "238743fa",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Wall time: 1 ms\n",
      "TRAINING RESULTS: \n",
      "===============================\n",
      "CONFUSION MATRIX:\n",
      "[[ 96   0]\n",
      " [  0 115]]\n",
      "ACCURACY SCORE:\n",
      "1.0000\n",
      "F1 SCORE:\n",
      "1.0\n",
      "CLASSIFICATION REPORT:\n",
      "              0      1  accuracy  macro avg  weighted avg\n",
      "precision   1.0    1.0       1.0        1.0           1.0\n",
      "recall      1.0    1.0       1.0        1.0           1.0\n",
      "f1-score    1.0    1.0       1.0        1.0           1.0\n",
      "support    96.0  115.0       1.0      211.0         211.0\n",
      "\n",
      "TESTING RESULTS: \n",
      "===============================\n",
      "CONFUSION MATRIX:\n",
      "[[34  8]\n",
      " [13 36]]\n",
      "ACCURACY SCORE:\n",
      "0.7692\n",
      "F1 SCORE:\n",
      "0.7741935483870968\n",
      "CLASSIFICATION REPORT:\n",
      "                   0          1  accuracy  macro avg  weighted avg\n",
      "precision   0.723404   0.818182  0.769231   0.770793      0.774438\n",
      "recall      0.809524   0.734694  0.769231   0.772109      0.769231\n",
      "f1-score    0.764045   0.774194  0.769231   0.769119      0.769510\n",
      "support    42.000000  49.000000  0.769231  91.000000     91.000000\n",
      "Wall time: 23 ms\n"
     ]
    }
   ],
   "source": [
    "model_tree = DecisionTreeClassifier(random_state=42)\n",
    "%time model_tree.fit(X_train_trf, y_train)\n",
    "\n",
    "%time evaluate(model_tree, X_train_trf, y_train, X_test_trf, y_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "c5a38fc7",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Where to save the figures\n",
    "PROJECT_ROOT_DIR = \".\"\n",
    "CHAPTER_ID = \"heartattack_decision_tree\"\n",
    "IMAGES_PATH = os.path.join(PROJECT_ROOT_DIR, \"images\", CHAPTER_ID)\n",
    "os.makedirs(IMAGES_PATH, exist_ok=True)\n",
    "\n",
    "def save_fig(fig_id, tight_layout=True, fig_extension=\"png\", resolution=300):\n",
    "    path = os.path.join(IMAGES_PATH, fig_id + \".\" + fig_extension)\n",
    "    print(\"Saving figure\", fig_id)\n",
    "    if tight_layout:\n",
    "        plt.tight_layout()\n",
    "    plt.savefig(path, format=fig_extension, dpi=resolution)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "c2bdc1e5",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
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       "<g id=\"node10\" class=\"node\"><title>9</title>\r\n",
       "<path fill=\"#f6d5bd\" stroke=\"black\" d=\"M366,-663C366,-663 277,-663 277,-663 271,-663 265,-657 265,-651 265,-651 265,-592 265,-592 265,-586 271,-580 277,-580 277,-580 366,-580 366,-580 372,-580 378,-586 378,-592 378,-592 378,-651 378,-651 378,-657 372,-663 366,-663\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"321.5\" y=\"-647.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">slope &lt;= 0.134</text>\r\n",
       "<text text-anchor=\"middle\" x=\"321.5\" y=\"-632.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.48</text>\r\n",
       "<text text-anchor=\"middle\" x=\"321.5\" y=\"-617.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 10</text>\r\n",
       "<text text-anchor=\"middle\" x=\"321.5\" y=\"-602.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [6, 4]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"321.5\" y=\"-587.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = 0</text>\r\n",
       "</g>\r\n",
       "<!-- 3&#45;&gt;9 -->\r\n",
       "<g id=\"edge9\" class=\"edge\"><title>3&#45;&gt;9</title>\r\n",
       "<path fill=\"none\" stroke=\"black\" d=\"M321.5,-698.907C321.5,-690.649 321.5,-681.864 321.5,-673.302\"/>\r\n",
       "<polygon fill=\"black\" stroke=\"black\" points=\"325,-673.021 321.5,-663.021 318,-673.021 325,-673.021\"/>\r\n",
       "</g>\r\n",
       "<!-- 5 -->\r\n",
       "<g id=\"node6\" class=\"node\"><title>5</title>\r\n",
       "<path fill=\"#399de5\" stroke=\"black\" d=\"M93,-536.5C93,-536.5 12,-536.5 12,-536.5 6,-536.5 0,-530.5 0,-524.5 0,-524.5 0,-480.5 0,-480.5 0,-474.5 6,-468.5 12,-468.5 12,-468.5 93,-468.5 93,-468.5 99,-468.5 105,-474.5 105,-480.5 105,-480.5 105,-524.5 105,-524.5 105,-530.5 99,-536.5 93,-536.5\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"52.5\" y=\"-521.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.0</text>\r\n",
       "<text text-anchor=\"middle\" x=\"52.5\" y=\"-506.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 15</text>\r\n",
       "<text text-anchor=\"middle\" x=\"52.5\" y=\"-491.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [0, 15]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"52.5\" y=\"-476.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = &#160;</text>\r\n",
       "</g>\r\n",
       "<!-- 4&#45;&gt;5 -->\r\n",
       "<g id=\"edge5\" class=\"edge\"><title>4&#45;&gt;5</title>\r\n",
       "<path fill=\"none\" stroke=\"black\" d=\"M135.438,-579.907C122.622,-568.101 108.637,-555.217 95.864,-543.45\"/>\r\n",
       "<polygon fill=\"black\" stroke=\"black\" points=\"98.2279,-540.868 88.5017,-536.667 93.485,-546.017 98.2279,-540.868\"/>\r\n",
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       "<!-- 6 -->\r\n",
       "<g id=\"node7\" class=\"node\"><title>6</title>\r\n",
       "<path fill=\"#ffffff\" stroke=\"black\" d=\"M224,-544C224,-544 135,-544 135,-544 129,-544 123,-538 123,-532 123,-532 123,-473 123,-473 123,-467 129,-461 135,-461 135,-461 224,-461 224,-461 230,-461 236,-467 236,-473 236,-473 236,-532 236,-532 236,-538 230,-544 224,-544\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"179.5\" y=\"-528.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">slope &lt;= 0.134</text>\r\n",
       "<text text-anchor=\"middle\" x=\"179.5\" y=\"-513.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.5</text>\r\n",
       "<text text-anchor=\"middle\" x=\"179.5\" y=\"-498.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 2</text>\r\n",
       "<text text-anchor=\"middle\" x=\"179.5\" y=\"-483.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [1, 1]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"179.5\" y=\"-468.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = 0</text>\r\n",
       "</g>\r\n",
       "<!-- 4&#45;&gt;6 -->\r\n",
       "<g id=\"edge6\" class=\"edge\"><title>4&#45;&gt;6</title>\r\n",
       "<path fill=\"none\" stroke=\"black\" d=\"M179.5,-579.907C179.5,-571.649 179.5,-562.864 179.5,-554.302\"/>\r\n",
       "<polygon fill=\"black\" stroke=\"black\" points=\"183,-554.021 179.5,-544.021 176,-554.021 183,-554.021\"/>\r\n",
       "</g>\r\n",
       "<!-- 7 -->\r\n",
       "<g id=\"node8\" class=\"node\"><title>7</title>\r\n",
       "<path fill=\"#399de5\" stroke=\"black\" d=\"M114,-417.5C114,-417.5 41,-417.5 41,-417.5 35,-417.5 29,-411.5 29,-405.5 29,-405.5 29,-361.5 29,-361.5 29,-355.5 35,-349.5 41,-349.5 41,-349.5 114,-349.5 114,-349.5 120,-349.5 126,-355.5 126,-361.5 126,-361.5 126,-405.5 126,-405.5 126,-411.5 120,-417.5 114,-417.5\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"77.5\" y=\"-402.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.0</text>\r\n",
       "<text text-anchor=\"middle\" x=\"77.5\" y=\"-387.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 1</text>\r\n",
       "<text text-anchor=\"middle\" x=\"77.5\" y=\"-372.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [0, 1]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"77.5\" y=\"-357.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = &#160;</text>\r\n",
       "</g>\r\n",
       "<!-- 6&#45;&gt;7 -->\r\n",
       "<g id=\"edge7\" class=\"edge\"><title>6&#45;&gt;7</title>\r\n",
       "<path fill=\"none\" stroke=\"black\" d=\"M144.112,-460.907C134.107,-449.432 123.215,-436.938 113.193,-425.442\"/>\r\n",
       "<polygon fill=\"black\" stroke=\"black\" points=\"115.624,-422.905 106.415,-417.667 110.348,-427.505 115.624,-422.905\"/>\r\n",
       "</g>\r\n",
       "<!-- 8 -->\r\n",
       "<g id=\"node9\" class=\"node\"><title>8</title>\r\n",
       "<path fill=\"#e58139\" stroke=\"black\" d=\"M229,-417.5C229,-417.5 156,-417.5 156,-417.5 150,-417.5 144,-411.5 144,-405.5 144,-405.5 144,-361.5 144,-361.5 144,-355.5 150,-349.5 156,-349.5 156,-349.5 229,-349.5 229,-349.5 235,-349.5 241,-355.5 241,-361.5 241,-361.5 241,-405.5 241,-405.5 241,-411.5 235,-417.5 229,-417.5\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"192.5\" y=\"-402.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.0</text>\r\n",
       "<text text-anchor=\"middle\" x=\"192.5\" y=\"-387.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 1</text>\r\n",
       "<text text-anchor=\"middle\" x=\"192.5\" y=\"-372.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [1, 0]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"192.5\" y=\"-357.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = 0</text>\r\n",
       "</g>\r\n",
       "<!-- 6&#45;&gt;8 -->\r\n",
       "<g id=\"edge8\" class=\"edge\"><title>6&#45;&gt;8</title>\r\n",
       "<path fill=\"none\" stroke=\"black\" d=\"M184.01,-460.907C185.2,-450.204 186.487,-438.615 187.692,-427.776\"/>\r\n",
       "<polygon fill=\"black\" stroke=\"black\" points=\"191.189,-427.992 188.815,-417.667 184.232,-427.219 191.189,-427.992\"/>\r\n",
       "</g>\r\n",
       "<!-- 10 -->\r\n",
       "<g id=\"node11\" class=\"node\"><title>10</title>\r\n",
       "<path fill=\"#eeab7b\" stroke=\"black\" d=\"M376.5,-544C376.5,-544 266.5,-544 266.5,-544 260.5,-544 254.5,-538 254.5,-532 254.5,-532 254.5,-473 254.5,-473 254.5,-467 260.5,-461 266.5,-461 266.5,-461 376.5,-461 376.5,-461 382.5,-461 388.5,-467 388.5,-473 388.5,-473 388.5,-532 388.5,-532 388.5,-538 382.5,-544 376.5,-544\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"321.5\" y=\"-528.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">trestbps &lt;= &#45;0.933</text>\r\n",
       "<text text-anchor=\"middle\" x=\"321.5\" y=\"-513.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.375</text>\r\n",
       "<text text-anchor=\"middle\" x=\"321.5\" y=\"-498.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 8</text>\r\n",
       "<text text-anchor=\"middle\" x=\"321.5\" y=\"-483.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [6, 2]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"321.5\" y=\"-468.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = 0</text>\r\n",
       "</g>\r\n",
       "<!-- 9&#45;&gt;10 -->\r\n",
       "<g id=\"edge10\" class=\"edge\"><title>9&#45;&gt;10</title>\r\n",
       "<path fill=\"none\" stroke=\"black\" d=\"M321.5,-579.907C321.5,-571.649 321.5,-562.864 321.5,-554.302\"/>\r\n",
       "<polygon fill=\"black\" stroke=\"black\" points=\"325,-554.021 321.5,-544.021 318,-554.021 325,-554.021\"/>\r\n",
       "</g>\r\n",
       "<!-- 15 -->\r\n",
       "<g id=\"node16\" class=\"node\"><title>15</title>\r\n",
       "<path fill=\"#399de5\" stroke=\"black\" d=\"M492,-536.5C492,-536.5 419,-536.5 419,-536.5 413,-536.5 407,-530.5 407,-524.5 407,-524.5 407,-480.5 407,-480.5 407,-474.5 413,-468.5 419,-468.5 419,-468.5 492,-468.5 492,-468.5 498,-468.5 504,-474.5 504,-480.5 504,-480.5 504,-524.5 504,-524.5 504,-530.5 498,-536.5 492,-536.5\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"455.5\" y=\"-521.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.0</text>\r\n",
       "<text text-anchor=\"middle\" x=\"455.5\" y=\"-506.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 2</text>\r\n",
       "<text text-anchor=\"middle\" x=\"455.5\" y=\"-491.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [0, 2]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"455.5\" y=\"-476.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = &#160;</text>\r\n",
       "</g>\r\n",
       "<!-- 9&#45;&gt;15 -->\r\n",
       "<g id=\"edge15\" class=\"edge\"><title>9&#45;&gt;15</title>\r\n",
       "<path fill=\"none\" stroke=\"black\" d=\"M367.991,-579.907C381.513,-568.101 396.269,-555.217 409.746,-543.45\"/>\r\n",
       "<polygon fill=\"black\" stroke=\"black\" points=\"412.283,-545.881 417.514,-536.667 407.679,-540.608 412.283,-545.881\"/>\r\n",
       "</g>\r\n",
       "<!-- 11 -->\r\n",
       "<g id=\"node12\" class=\"node\"><title>11</title>\r\n",
       "<path fill=\"#399de5\" stroke=\"black\" d=\"M351,-417.5C351,-417.5 278,-417.5 278,-417.5 272,-417.5 266,-411.5 266,-405.5 266,-405.5 266,-361.5 266,-361.5 266,-355.5 272,-349.5 278,-349.5 278,-349.5 351,-349.5 351,-349.5 357,-349.5 363,-355.5 363,-361.5 363,-361.5 363,-405.5 363,-405.5 363,-411.5 357,-417.5 351,-417.5\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"314.5\" y=\"-402.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.0</text>\r\n",
       "<text text-anchor=\"middle\" x=\"314.5\" y=\"-387.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 1</text>\r\n",
       "<text text-anchor=\"middle\" x=\"314.5\" y=\"-372.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [0, 1]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"314.5\" y=\"-357.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = &#160;</text>\r\n",
       "</g>\r\n",
       "<!-- 10&#45;&gt;11 -->\r\n",
       "<g id=\"edge11\" class=\"edge\"><title>10&#45;&gt;11</title>\r\n",
       "<path fill=\"none\" stroke=\"black\" d=\"M319.071,-460.907C318.431,-450.204 317.738,-438.615 317.089,-427.776\"/>\r\n",
       "<polygon fill=\"black\" stroke=\"black\" points=\"320.575,-427.44 316.484,-417.667 313.588,-427.858 320.575,-427.44\"/>\r\n",
       "</g>\r\n",
       "<!-- 12 -->\r\n",
       "<g id=\"node13\" class=\"node\"><title>12</title>\r\n",
       "<path fill=\"#e9965a\" stroke=\"black\" d=\"M491.5,-425C491.5,-425 393.5,-425 393.5,-425 387.5,-425 381.5,-419 381.5,-413 381.5,-413 381.5,-354 381.5,-354 381.5,-348 387.5,-342 393.5,-342 393.5,-342 491.5,-342 491.5,-342 497.5,-342 503.5,-348 503.5,-354 503.5,-354 503.5,-413 503.5,-413 503.5,-419 497.5,-425 491.5,-425\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"442.5\" y=\"-409.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">restecg &lt;= &#45;0.04</text>\r\n",
       "<text text-anchor=\"middle\" x=\"442.5\" y=\"-394.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.245</text>\r\n",
       "<text text-anchor=\"middle\" x=\"442.5\" y=\"-379.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 7</text>\r\n",
       "<text text-anchor=\"middle\" x=\"442.5\" y=\"-364.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [6, 1]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"442.5\" y=\"-349.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = 0</text>\r\n",
       "</g>\r\n",
       "<!-- 10&#45;&gt;12 -->\r\n",
       "<g id=\"edge12\" class=\"edge\"><title>10&#45;&gt;12</title>\r\n",
       "<path fill=\"none\" stroke=\"black\" d=\"M363.48,-460.907C373.053,-451.651 383.311,-441.732 393.16,-432.209\"/>\r\n",
       "<polygon fill=\"black\" stroke=\"black\" points=\"395.838,-434.488 400.594,-425.021 390.972,-429.456 395.838,-434.488\"/>\r\n",
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       "<!-- 13 -->\r\n",
       "<g id=\"node14\" class=\"node\"><title>13</title>\r\n",
       "<path fill=\"#399de5\" stroke=\"black\" d=\"M422,-298.5C422,-298.5 349,-298.5 349,-298.5 343,-298.5 337,-292.5 337,-286.5 337,-286.5 337,-242.5 337,-242.5 337,-236.5 343,-230.5 349,-230.5 349,-230.5 422,-230.5 422,-230.5 428,-230.5 434,-236.5 434,-242.5 434,-242.5 434,-286.5 434,-286.5 434,-292.5 428,-298.5 422,-298.5\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"385.5\" y=\"-283.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.0</text>\r\n",
       "<text text-anchor=\"middle\" x=\"385.5\" y=\"-268.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 1</text>\r\n",
       "<text text-anchor=\"middle\" x=\"385.5\" y=\"-253.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [0, 1]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"385.5\" y=\"-238.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = &#160;</text>\r\n",
       "</g>\r\n",
       "<!-- 12&#45;&gt;13 -->\r\n",
       "<g id=\"edge13\" class=\"edge\"><title>12&#45;&gt;13</title>\r\n",
       "<path fill=\"none\" stroke=\"black\" d=\"M422.724,-341.907C417.348,-330.873 411.514,-318.898 406.094,-307.773\"/>\r\n",
       "<polygon fill=\"black\" stroke=\"black\" points=\"409.184,-306.124 401.658,-298.667 402.892,-309.19 409.184,-306.124\"/>\r\n",
       "</g>\r\n",
       "<!-- 14 -->\r\n",
       "<g id=\"node15\" class=\"node\"><title>14</title>\r\n",
       "<path fill=\"#e58139\" stroke=\"black\" d=\"M537,-298.5C537,-298.5 464,-298.5 464,-298.5 458,-298.5 452,-292.5 452,-286.5 452,-286.5 452,-242.5 452,-242.5 452,-236.5 458,-230.5 464,-230.5 464,-230.5 537,-230.5 537,-230.5 543,-230.5 549,-236.5 549,-242.5 549,-242.5 549,-286.5 549,-286.5 549,-292.5 543,-298.5 537,-298.5\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"500.5\" y=\"-283.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.0</text>\r\n",
       "<text text-anchor=\"middle\" x=\"500.5\" y=\"-268.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 6</text>\r\n",
       "<text text-anchor=\"middle\" x=\"500.5\" y=\"-253.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [6, 0]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"500.5\" y=\"-238.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = 0</text>\r\n",
       "</g>\r\n",
       "<!-- 12&#45;&gt;14 -->\r\n",
       "<g id=\"edge14\" class=\"edge\"><title>12&#45;&gt;14</title>\r\n",
       "<path fill=\"none\" stroke=\"black\" d=\"M462.623,-341.907C468.093,-330.873 474.029,-318.898 479.544,-307.773\"/>\r\n",
       "<polygon fill=\"black\" stroke=\"black\" points=\"482.753,-309.181 484.058,-298.667 476.481,-306.072 482.753,-309.181\"/>\r\n",
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       "<!-- 17 -->\r\n",
       "<g id=\"node18\" class=\"node\"><title>17</title>\r\n",
       "<path fill=\"#e58139\" stroke=\"black\" d=\"M489,-655.5C489,-655.5 408,-655.5 408,-655.5 402,-655.5 396,-649.5 396,-643.5 396,-643.5 396,-599.5 396,-599.5 396,-593.5 402,-587.5 408,-587.5 408,-587.5 489,-587.5 489,-587.5 495,-587.5 501,-593.5 501,-599.5 501,-599.5 501,-643.5 501,-643.5 501,-649.5 495,-655.5 489,-655.5\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"448.5\" y=\"-640.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.0</text>\r\n",
       "<text text-anchor=\"middle\" x=\"448.5\" y=\"-625.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 11</text>\r\n",
       "<text text-anchor=\"middle\" x=\"448.5\" y=\"-610.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [11, 0]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"448.5\" y=\"-595.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = 0</text>\r\n",
       "</g>\r\n",
       "<!-- 16&#45;&gt;17 -->\r\n",
       "<g id=\"edge17\" class=\"edge\"><title>16&#45;&gt;17</title>\r\n",
       "<path fill=\"none\" stroke=\"black\" d=\"M492.908,-698.907C486.43,-687.763 479.395,-675.658 472.875,-664.439\"/>\r\n",
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       "<!-- 18 -->\r\n",
       "<g id=\"node19\" class=\"node\"><title>18</title>\r\n",
       "<path fill=\"#f6d5bd\" stroke=\"black\" d=\"M636,-663C636,-663 531,-663 531,-663 525,-663 519,-657 519,-651 519,-651 519,-592 519,-592 519,-586 525,-580 531,-580 531,-580 636,-580 636,-580 642,-580 648,-586 648,-592 648,-592 648,-651 648,-651 648,-657 642,-663 636,-663\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"583.5\" y=\"-647.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">trestbps &lt;= 0.337</text>\r\n",
       "<text text-anchor=\"middle\" x=\"583.5\" y=\"-632.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.48</text>\r\n",
       "<text text-anchor=\"middle\" x=\"583.5\" y=\"-617.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 10</text>\r\n",
       "<text text-anchor=\"middle\" x=\"583.5\" y=\"-602.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [6, 4]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"583.5\" y=\"-587.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = 0</text>\r\n",
       "</g>\r\n",
       "<!-- 16&#45;&gt;18 -->\r\n",
       "<g id=\"edge18\" class=\"edge\"><title>16&#45;&gt;18</title>\r\n",
       "<path fill=\"none\" stroke=\"black\" d=\"M539.745,-698.907C544.734,-690.195 550.059,-680.897 555.215,-671.893\"/>\r\n",
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       "<!-- 19 -->\r\n",
       "<g id=\"node20\" class=\"node\"><title>19</title>\r\n",
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       "<text text-anchor=\"middle\" x=\"577.5\" y=\"-521.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.0</text>\r\n",
       "<text text-anchor=\"middle\" x=\"577.5\" y=\"-506.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 3</text>\r\n",
       "<text text-anchor=\"middle\" x=\"577.5\" y=\"-491.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [0, 3]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"577.5\" y=\"-476.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = &#160;</text>\r\n",
       "</g>\r\n",
       "<!-- 18&#45;&gt;19 -->\r\n",
       "<g id=\"edge19\" class=\"edge\"><title>18&#45;&gt;19</title>\r\n",
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       "<!-- 20 -->\r\n",
       "<g id=\"node21\" class=\"node\"><title>20</title>\r\n",
       "<path fill=\"#e9965a\" stroke=\"black\" d=\"M738.5,-544C738.5,-544 656.5,-544 656.5,-544 650.5,-544 644.5,-538 644.5,-532 644.5,-532 644.5,-473 644.5,-473 644.5,-467 650.5,-461 656.5,-461 656.5,-461 738.5,-461 738.5,-461 744.5,-461 750.5,-467 750.5,-473 750.5,-473 750.5,-532 750.5,-532 750.5,-538 744.5,-544 738.5,-544\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"697.5\" y=\"-528.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">age &lt;= &#45;0.031</text>\r\n",
       "<text text-anchor=\"middle\" x=\"697.5\" y=\"-513.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.245</text>\r\n",
       "<text text-anchor=\"middle\" x=\"697.5\" y=\"-498.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 7</text>\r\n",
       "<text text-anchor=\"middle\" x=\"697.5\" y=\"-483.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [6, 1]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"697.5\" y=\"-468.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = 0</text>\r\n",
       "</g>\r\n",
       "<!-- 18&#45;&gt;20 -->\r\n",
       "<g id=\"edge20\" class=\"edge\"><title>18&#45;&gt;20</title>\r\n",
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       "<!-- 21 -->\r\n",
       "<g id=\"node22\" class=\"node\"><title>21</title>\r\n",
       "<path fill=\"#399de5\" stroke=\"black\" d=\"M677,-417.5C677,-417.5 604,-417.5 604,-417.5 598,-417.5 592,-411.5 592,-405.5 592,-405.5 592,-361.5 592,-361.5 592,-355.5 598,-349.5 604,-349.5 604,-349.5 677,-349.5 677,-349.5 683,-349.5 689,-355.5 689,-361.5 689,-361.5 689,-405.5 689,-405.5 689,-411.5 683,-417.5 677,-417.5\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"640.5\" y=\"-402.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.0</text>\r\n",
       "<text text-anchor=\"middle\" x=\"640.5\" y=\"-387.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 1</text>\r\n",
       "<text text-anchor=\"middle\" x=\"640.5\" y=\"-372.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [0, 1]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"640.5\" y=\"-357.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = &#160;</text>\r\n",
       "</g>\r\n",
       "<!-- 20&#45;&gt;21 -->\r\n",
       "<g id=\"edge21\" class=\"edge\"><title>20&#45;&gt;21</title>\r\n",
       "<path fill=\"none\" stroke=\"black\" d=\"M677.724,-460.907C672.348,-449.873 666.514,-437.898 661.094,-426.773\"/>\r\n",
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       "<!-- 22 -->\r\n",
       "<g id=\"node23\" class=\"node\"><title>22</title>\r\n",
       "<path fill=\"#e58139\" stroke=\"black\" d=\"M792,-417.5C792,-417.5 719,-417.5 719,-417.5 713,-417.5 707,-411.5 707,-405.5 707,-405.5 707,-361.5 707,-361.5 707,-355.5 713,-349.5 719,-349.5 719,-349.5 792,-349.5 792,-349.5 798,-349.5 804,-355.5 804,-361.5 804,-361.5 804,-405.5 804,-405.5 804,-411.5 798,-417.5 792,-417.5\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"755.5\" y=\"-402.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.0</text>\r\n",
       "<text text-anchor=\"middle\" x=\"755.5\" y=\"-387.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 6</text>\r\n",
       "<text text-anchor=\"middle\" x=\"755.5\" y=\"-372.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [6, 0]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"755.5\" y=\"-357.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = 0</text>\r\n",
       "</g>\r\n",
       "<!-- 20&#45;&gt;22 -->\r\n",
       "<g id=\"edge22\" class=\"edge\"><title>20&#45;&gt;22</title>\r\n",
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       "</g>\r\n",
       "<!-- 24 -->\r\n",
       "<g id=\"node25\" class=\"node\"><title>24</title>\r\n",
       "<path fill=\"#eeab7b\" stroke=\"black\" d=\"M867,-782C867,-782 790,-782 790,-782 784,-782 778,-776 778,-770 778,-770 778,-711 778,-711 778,-705 784,-699 790,-699 790,-699 867,-699 867,-699 873,-699 879,-705 879,-711 879,-711 879,-770 879,-770 879,-776 873,-782 867,-782\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"828.5\" y=\"-766.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">age &lt;= 0.079</text>\r\n",
       "<text text-anchor=\"middle\" x=\"828.5\" y=\"-751.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.375</text>\r\n",
       "<text text-anchor=\"middle\" x=\"828.5\" y=\"-736.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 4</text>\r\n",
       "<text text-anchor=\"middle\" x=\"828.5\" y=\"-721.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [3, 1]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"828.5\" y=\"-706.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = 0</text>\r\n",
       "</g>\r\n",
       "<!-- 23&#45;&gt;24 -->\r\n",
       "<g id=\"edge24\" class=\"edge\"><title>23&#45;&gt;24</title>\r\n",
       "<path fill=\"none\" stroke=\"black\" d=\"M868.336,-817.907C863.794,-809.195 858.946,-799.897 854.252,-790.893\"/>\r\n",
       "<polygon fill=\"black\" stroke=\"black\" points=\"857.353,-789.27 849.626,-782.021 851.146,-792.506 857.353,-789.27\"/>\r\n",
       "</g>\r\n",
       "<!-- 27 -->\r\n",
       "<g id=\"node28\" class=\"node\"><title>27</title>\r\n",
       "<path fill=\"#e6843e\" stroke=\"black\" d=\"M990,-782C990,-782 909,-782 909,-782 903,-782 897,-776 897,-770 897,-770 897,-711 897,-711 897,-705 903,-699 909,-699 909,-699 990,-699 990,-699 996,-699 1002,-705 1002,-711 1002,-711 1002,-770 1002,-770 1002,-776 996,-782 990,-782\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"949.5\" y=\"-766.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">chol &lt;= 1.02</text>\r\n",
       "<text text-anchor=\"middle\" x=\"949.5\" y=\"-751.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.044</text>\r\n",
       "<text text-anchor=\"middle\" x=\"949.5\" y=\"-736.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 44</text>\r\n",
       "<text text-anchor=\"middle\" x=\"949.5\" y=\"-721.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [43, 1]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"949.5\" y=\"-706.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = 0</text>\r\n",
       "</g>\r\n",
       "<!-- 23&#45;&gt;27 -->\r\n",
       "<g id=\"edge27\" class=\"edge\"><title>23&#45;&gt;27</title>\r\n",
       "<path fill=\"none\" stroke=\"black\" d=\"M910.317,-817.907C914.738,-809.286 919.454,-800.09 924.026,-791.175\"/>\r\n",
       "<polygon fill=\"black\" stroke=\"black\" points=\"927.271,-792.516 928.72,-782.021 921.043,-789.322 927.271,-792.516\"/>\r\n",
       "</g>\r\n",
       "<!-- 25 -->\r\n",
       "<g id=\"node26\" class=\"node\"><title>25</title>\r\n",
       "<path fill=\"#399de5\" stroke=\"black\" d=\"M751,-655.5C751,-655.5 678,-655.5 678,-655.5 672,-655.5 666,-649.5 666,-643.5 666,-643.5 666,-599.5 666,-599.5 666,-593.5 672,-587.5 678,-587.5 678,-587.5 751,-587.5 751,-587.5 757,-587.5 763,-593.5 763,-599.5 763,-599.5 763,-643.5 763,-643.5 763,-649.5 757,-655.5 751,-655.5\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"714.5\" y=\"-640.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.0</text>\r\n",
       "<text text-anchor=\"middle\" x=\"714.5\" y=\"-625.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 1</text>\r\n",
       "<text text-anchor=\"middle\" x=\"714.5\" y=\"-610.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [0, 1]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"714.5\" y=\"-595.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = &#160;</text>\r\n",
       "</g>\r\n",
       "<!-- 24&#45;&gt;25 -->\r\n",
       "<g id=\"edge25\" class=\"edge\"><title>24&#45;&gt;25</title>\r\n",
       "<path fill=\"none\" stroke=\"black\" d=\"M788.948,-698.907C777.659,-687.321 765.359,-674.698 754.069,-663.111\"/>\r\n",
       "<polygon fill=\"black\" stroke=\"black\" points=\"756.302,-660.387 746.817,-655.667 751.288,-665.272 756.302,-660.387\"/>\r\n",
       "</g>\r\n",
       "<!-- 26 -->\r\n",
       "<g id=\"node27\" class=\"node\"><title>26</title>\r\n",
       "<path fill=\"#e58139\" stroke=\"black\" d=\"M866,-655.5C866,-655.5 793,-655.5 793,-655.5 787,-655.5 781,-649.5 781,-643.5 781,-643.5 781,-599.5 781,-599.5 781,-593.5 787,-587.5 793,-587.5 793,-587.5 866,-587.5 866,-587.5 872,-587.5 878,-593.5 878,-599.5 878,-599.5 878,-643.5 878,-643.5 878,-649.5 872,-655.5 866,-655.5\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"829.5\" y=\"-640.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.0</text>\r\n",
       "<text text-anchor=\"middle\" x=\"829.5\" y=\"-625.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 3</text>\r\n",
       "<text text-anchor=\"middle\" x=\"829.5\" y=\"-610.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [3, 0]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"829.5\" y=\"-595.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = 0</text>\r\n",
       "</g>\r\n",
       "<!-- 24&#45;&gt;26 -->\r\n",
       "<g id=\"edge26\" class=\"edge\"><title>24&#45;&gt;26</title>\r\n",
       "<path fill=\"none\" stroke=\"black\" d=\"M828.847,-698.907C828.938,-688.204 829.037,-676.615 829.13,-665.776\"/>\r\n",
       "<polygon fill=\"black\" stroke=\"black\" points=\"832.631,-665.697 829.217,-655.667 825.631,-665.637 832.631,-665.697\"/>\r\n",
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       "<!-- 28 -->\r\n",
       "<g id=\"node29\" class=\"node\"><title>28</title>\r\n",
       "<path fill=\"#e58139\" stroke=\"black\" d=\"M989,-655.5C989,-655.5 908,-655.5 908,-655.5 902,-655.5 896,-649.5 896,-643.5 896,-643.5 896,-599.5 896,-599.5 896,-593.5 902,-587.5 908,-587.5 908,-587.5 989,-587.5 989,-587.5 995,-587.5 1001,-593.5 1001,-599.5 1001,-599.5 1001,-643.5 1001,-643.5 1001,-649.5 995,-655.5 989,-655.5\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"948.5\" y=\"-640.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.0</text>\r\n",
       "<text text-anchor=\"middle\" x=\"948.5\" y=\"-625.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 37</text>\r\n",
       "<text text-anchor=\"middle\" x=\"948.5\" y=\"-610.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [37, 0]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"948.5\" y=\"-595.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = 0</text>\r\n",
       "</g>\r\n",
       "<!-- 27&#45;&gt;28 -->\r\n",
       "<g id=\"edge28\" class=\"edge\"><title>27&#45;&gt;28</title>\r\n",
       "<path fill=\"none\" stroke=\"black\" d=\"M949.153,-698.907C949.062,-688.204 948.963,-676.615 948.87,-665.776\"/>\r\n",
       "<polygon fill=\"black\" stroke=\"black\" points=\"952.369,-665.637 948.783,-655.667 945.369,-665.697 952.369,-665.637\"/>\r\n",
       "</g>\r\n",
       "<!-- 29 -->\r\n",
       "<g id=\"node30\" class=\"node\"><title>29</title>\r\n",
       "<path fill=\"#e9965a\" stroke=\"black\" d=\"M1111.5,-663C1111.5,-663 1031.5,-663 1031.5,-663 1025.5,-663 1019.5,-657 1019.5,-651 1019.5,-651 1019.5,-592 1019.5,-592 1019.5,-586 1025.5,-580 1031.5,-580 1031.5,-580 1111.5,-580 1111.5,-580 1117.5,-580 1123.5,-586 1123.5,-592 1123.5,-592 1123.5,-651 1123.5,-651 1123.5,-657 1117.5,-663 1111.5,-663\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"1071.5\" y=\"-647.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">chol &lt;= 1.057</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1071.5\" y=\"-632.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.245</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1071.5\" y=\"-617.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 7</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1071.5\" y=\"-602.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [6, 1]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1071.5\" y=\"-587.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = 0</text>\r\n",
       "</g>\r\n",
       "<!-- 27&#45;&gt;29 -->\r\n",
       "<g id=\"edge29\" class=\"edge\"><title>27&#45;&gt;29</title>\r\n",
       "<path fill=\"none\" stroke=\"black\" d=\"M991.827,-698.907C1001.48,-689.651 1011.82,-679.732 1021.75,-670.209\"/>\r\n",
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       "<!-- 30 -->\r\n",
       "<g id=\"node31\" class=\"node\"><title>30</title>\r\n",
       "<path fill=\"#399de5\" stroke=\"black\" d=\"M993,-536.5C993,-536.5 920,-536.5 920,-536.5 914,-536.5 908,-530.5 908,-524.5 908,-524.5 908,-480.5 908,-480.5 908,-474.5 914,-468.5 920,-468.5 920,-468.5 993,-468.5 993,-468.5 999,-468.5 1005,-474.5 1005,-480.5 1005,-480.5 1005,-524.5 1005,-524.5 1005,-530.5 999,-536.5 993,-536.5\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"956.5\" y=\"-521.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.0</text>\r\n",
       "<text text-anchor=\"middle\" x=\"956.5\" y=\"-506.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 1</text>\r\n",
       "<text text-anchor=\"middle\" x=\"956.5\" y=\"-491.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [0, 1]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"956.5\" y=\"-476.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = &#160;</text>\r\n",
       "</g>\r\n",
       "<!-- 29&#45;&gt;30 -->\r\n",
       "<g id=\"edge30\" class=\"edge\"><title>29&#45;&gt;30</title>\r\n",
       "<path fill=\"none\" stroke=\"black\" d=\"M1031.6,-579.907C1020.21,-568.321 1007.81,-555.698 996.416,-544.111\"/>\r\n",
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       "<!-- 31 -->\r\n",
       "<g id=\"node32\" class=\"node\"><title>31</title>\r\n",
       "<path fill=\"#e58139\" stroke=\"black\" d=\"M1108,-536.5C1108,-536.5 1035,-536.5 1035,-536.5 1029,-536.5 1023,-530.5 1023,-524.5 1023,-524.5 1023,-480.5 1023,-480.5 1023,-474.5 1029,-468.5 1035,-468.5 1035,-468.5 1108,-468.5 1108,-468.5 1114,-468.5 1120,-474.5 1120,-480.5 1120,-480.5 1120,-524.5 1120,-524.5 1120,-530.5 1114,-536.5 1108,-536.5\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"1071.5\" y=\"-521.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.0</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1071.5\" y=\"-506.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 6</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1071.5\" y=\"-491.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [6, 0]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1071.5\" y=\"-476.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = 0</text>\r\n",
       "</g>\r\n",
       "<!-- 29&#45;&gt;31 -->\r\n",
       "<g id=\"edge31\" class=\"edge\"><title>29&#45;&gt;31</title>\r\n",
       "<path fill=\"none\" stroke=\"black\" d=\"M1071.5,-579.907C1071.5,-569.204 1071.5,-557.615 1071.5,-546.776\"/>\r\n",
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       "<!-- 33 -->\r\n",
       "<g id=\"node34\" class=\"node\"><title>33</title>\r\n",
       "<path fill=\"#52a9e8\" stroke=\"black\" d=\"M1673,-901C1673,-901 1592,-901 1592,-901 1586,-901 1580,-895 1580,-889 1580,-889 1580,-830 1580,-830 1580,-824 1586,-818 1592,-818 1592,-818 1673,-818 1673,-818 1679,-818 1685,-824 1685,-830 1685,-830 1685,-889 1685,-889 1685,-895 1679,-901 1673,-901\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"1632.5\" y=\"-885.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">thal &lt;= 0.305</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1632.5\" y=\"-870.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.198</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1632.5\" y=\"-855.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 81</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1632.5\" y=\"-840.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [9, 72]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1632.5\" y=\"-825.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = &#160;</text>\r\n",
       "</g>\r\n",
       "<!-- 32&#45;&gt;33 -->\r\n",
       "<g id=\"edge33\" class=\"edge\"><title>32&#45;&gt;33</title>\r\n",
       "<path fill=\"none\" stroke=\"black\" d=\"M1632.5,-936.907C1632.5,-928.649 1632.5,-919.864 1632.5,-911.302\"/>\r\n",
       "<polygon fill=\"black\" stroke=\"black\" points=\"1636,-911.021 1632.5,-901.021 1629,-911.021 1636,-911.021\"/>\r\n",
       "</g>\r\n",
       "<!-- 62 -->\r\n",
       "<g id=\"node63\" class=\"node\"><title>62</title>\r\n",
       "<path fill=\"#ffffff\" stroke=\"black\" d=\"M2418,-901C2418,-901 2329,-901 2329,-901 2323,-901 2317,-895 2317,-889 2317,-889 2317,-830 2317,-830 2317,-824 2323,-818 2329,-818 2329,-818 2418,-818 2418,-818 2424,-818 2430,-824 2430,-830 2430,-830 2430,-889 2430,-889 2430,-895 2424,-901 2418,-901\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"2373.5\" y=\"-885.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">slope &lt;= 0.134</text>\r\n",
       "<text text-anchor=\"middle\" x=\"2373.5\" y=\"-870.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.5</text>\r\n",
       "<text text-anchor=\"middle\" x=\"2373.5\" y=\"-855.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 34</text>\r\n",
       "<text text-anchor=\"middle\" x=\"2373.5\" y=\"-840.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [17, 17]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"2373.5\" y=\"-825.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = 0</text>\r\n",
       "</g>\r\n",
       "<!-- 32&#45;&gt;62 -->\r\n",
       "<g id=\"edge62\" class=\"edge\"><title>32&#45;&gt;62</title>\r\n",
       "<path fill=\"none\" stroke=\"black\" d=\"M1689.11,-968.562C1823.74,-947.304 2162.54,-893.81 2306.79,-871.033\"/>\r\n",
       "<polygon fill=\"black\" stroke=\"black\" points=\"2307.51,-874.464 2316.84,-869.447 2306.41,-867.549 2307.51,-874.464\"/>\r\n",
       "</g>\r\n",
       "<!-- 34 -->\r\n",
       "<g id=\"node35\" class=\"node\"><title>34</title>\r\n",
       "<path fill=\"#46a3e7\" stroke=\"black\" d=\"M1567,-782C1567,-782 1462,-782 1462,-782 1456,-782 1450,-776 1450,-770 1450,-770 1450,-711 1450,-711 1450,-705 1456,-699 1462,-699 1462,-699 1567,-699 1567,-699 1573,-699 1579,-705 1579,-711 1579,-711 1579,-770 1579,-770 1579,-776 1573,-782 1567,-782\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"1514.5\" y=\"-766.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">trestbps &lt;= 1.495</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1514.5\" y=\"-751.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.116</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1514.5\" y=\"-736.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 65</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1514.5\" y=\"-721.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [4, 61]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1514.5\" y=\"-706.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = &#160;</text>\r\n",
       "</g>\r\n",
       "<!-- 33&#45;&gt;34 -->\r\n",
       "<g id=\"edge34\" class=\"edge\"><title>33&#45;&gt;34</title>\r\n",
       "<path fill=\"none\" stroke=\"black\" d=\"M1591.56,-817.907C1582.22,-808.651 1572.22,-798.732 1562.62,-789.209\"/>\r\n",
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       "</g>\r\n",
       "<!-- 51 -->\r\n",
       "<g id=\"node52\" class=\"node\"><title>51</title>\r\n",
       "<path fill=\"#93caf1\" stroke=\"black\" d=\"M1791,-782C1791,-782 1710,-782 1710,-782 1704,-782 1698,-776 1698,-770 1698,-770 1698,-711 1698,-711 1698,-705 1704,-699 1710,-699 1710,-699 1791,-699 1791,-699 1797,-699 1803,-705 1803,-711 1803,-711 1803,-770 1803,-770 1803,-776 1797,-782 1791,-782\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"1750.5\" y=\"-766.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">age &lt;= 0.245</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1750.5\" y=\"-751.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.43</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1750.5\" y=\"-736.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 16</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1750.5\" y=\"-721.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [5, 11]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1750.5\" y=\"-706.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = &#160;</text>\r\n",
       "</g>\r\n",
       "<!-- 33&#45;&gt;51 -->\r\n",
       "<g id=\"edge51\" class=\"edge\"><title>33&#45;&gt;51</title>\r\n",
       "<path fill=\"none\" stroke=\"black\" d=\"M1673.44,-817.907C1682.78,-808.651 1692.78,-798.732 1702.38,-789.209\"/>\r\n",
       "<polygon fill=\"black\" stroke=\"black\" points=\"1705,-791.547 1709.63,-782.021 1700.07,-786.576 1705,-791.547\"/>\r\n",
       "</g>\r\n",
       "<!-- 35 -->\r\n",
       "<g id=\"node36\" class=\"node\"><title>35</title>\r\n",
       "<path fill=\"#43a2e6\" stroke=\"black\" d=\"M1392.5,-663C1392.5,-663 1294.5,-663 1294.5,-663 1288.5,-663 1282.5,-657 1282.5,-651 1282.5,-651 1282.5,-592 1282.5,-592 1282.5,-586 1288.5,-580 1294.5,-580 1294.5,-580 1392.5,-580 1392.5,-580 1398.5,-580 1404.5,-586 1404.5,-592 1404.5,-592 1404.5,-651 1404.5,-651 1404.5,-657 1398.5,-663 1392.5,-663\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"1343.5\" y=\"-647.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">thalach &lt;= 0.495</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1343.5\" y=\"-632.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.091</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1343.5\" y=\"-617.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 63</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1343.5\" y=\"-602.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [3, 60]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1343.5\" y=\"-587.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = &#160;</text>\r\n",
       "</g>\r\n",
       "<!-- 34&#45;&gt;35 -->\r\n",
       "<g id=\"edge35\" class=\"edge\"><title>34&#45;&gt;35</title>\r\n",
       "<path fill=\"none\" stroke=\"black\" d=\"M1455.17,-698.907C1440.98,-689.197 1425.72,-678.758 1411.19,-668.811\"/>\r\n",
       "<polygon fill=\"black\" stroke=\"black\" points=\"1412.95,-665.779 1402.72,-663.021 1409,-671.556 1412.95,-665.779\"/>\r\n",
       "</g>\r\n",
       "<!-- 48 -->\r\n",
       "<g id=\"node49\" class=\"node\"><title>48</title>\r\n",
       "<path fill=\"#ffffff\" stroke=\"black\" d=\"M1551,-663C1551,-663 1478,-663 1478,-663 1472,-663 1466,-657 1466,-651 1466,-651 1466,-592 1466,-592 1466,-586 1472,-580 1478,-580 1478,-580 1551,-580 1551,-580 1557,-580 1563,-586 1563,-592 1563,-592 1563,-651 1563,-651 1563,-657 1557,-663 1551,-663\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"1514.5\" y=\"-647.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">cp &lt;= 1.419</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1514.5\" y=\"-632.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.5</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1514.5\" y=\"-617.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 2</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1514.5\" y=\"-602.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [1, 1]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1514.5\" y=\"-587.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = 0</text>\r\n",
       "</g>\r\n",
       "<!-- 34&#45;&gt;48 -->\r\n",
       "<g id=\"edge48\" class=\"edge\"><title>34&#45;&gt;48</title>\r\n",
       "<path fill=\"none\" stroke=\"black\" d=\"M1514.5,-698.907C1514.5,-690.649 1514.5,-681.864 1514.5,-673.302\"/>\r\n",
       "<polygon fill=\"black\" stroke=\"black\" points=\"1518,-673.021 1514.5,-663.021 1511,-673.021 1518,-673.021\"/>\r\n",
       "</g>\r\n",
       "<!-- 36 -->\r\n",
       "<g id=\"node37\" class=\"node\"><title>36</title>\r\n",
       "<path fill=\"#54aae9\" stroke=\"black\" d=\"M1260.5,-544C1260.5,-544 1150.5,-544 1150.5,-544 1144.5,-544 1138.5,-538 1138.5,-532 1138.5,-532 1138.5,-473 1138.5,-473 1138.5,-467 1144.5,-461 1150.5,-461 1150.5,-461 1260.5,-461 1260.5,-461 1266.5,-461 1272.5,-467 1272.5,-473 1272.5,-473 1272.5,-532 1272.5,-532 1272.5,-538 1266.5,-544 1260.5,-544\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"1205.5\" y=\"-528.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">trestbps &lt;= &#45;1.272</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1205.5\" y=\"-513.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.211</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1205.5\" y=\"-498.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 25</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1205.5\" y=\"-483.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [3, 22]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1205.5\" y=\"-468.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = &#160;</text>\r\n",
       "</g>\r\n",
       "<!-- 35&#45;&gt;36 -->\r\n",
       "<g id=\"edge36\" class=\"edge\"><title>35&#45;&gt;36</title>\r\n",
       "<path fill=\"none\" stroke=\"black\" d=\"M1295.62,-579.907C1284.49,-570.469 1272.55,-560.343 1261.11,-550.649\"/>\r\n",
       "<polygon fill=\"black\" stroke=\"black\" points=\"1263.18,-547.818 1253.29,-544.021 1258.66,-553.157 1263.18,-547.818\"/>\r\n",
       "</g>\r\n",
       "<!-- 47 -->\r\n",
       "<g id=\"node48\" class=\"node\"><title>47</title>\r\n",
       "<path fill=\"#399de5\" stroke=\"black\" d=\"M1384,-536.5C1384,-536.5 1303,-536.5 1303,-536.5 1297,-536.5 1291,-530.5 1291,-524.5 1291,-524.5 1291,-480.5 1291,-480.5 1291,-474.5 1297,-468.5 1303,-468.5 1303,-468.5 1384,-468.5 1384,-468.5 1390,-468.5 1396,-474.5 1396,-480.5 1396,-480.5 1396,-524.5 1396,-524.5 1396,-530.5 1390,-536.5 1384,-536.5\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"1343.5\" y=\"-521.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.0</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1343.5\" y=\"-506.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 38</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1343.5\" y=\"-491.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [0, 38]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1343.5\" y=\"-476.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = &#160;</text>\r\n",
       "</g>\r\n",
       "<!-- 35&#45;&gt;47 -->\r\n",
       "<g id=\"edge47\" class=\"edge\"><title>35&#45;&gt;47</title>\r\n",
       "<path fill=\"none\" stroke=\"black\" d=\"M1343.5,-579.907C1343.5,-569.204 1343.5,-557.615 1343.5,-546.776\"/>\r\n",
       "<polygon fill=\"black\" stroke=\"black\" points=\"1347,-546.667 1343.5,-536.667 1340,-546.667 1347,-546.667\"/>\r\n",
       "</g>\r\n",
       "<!-- 37 -->\r\n",
       "<g id=\"node38\" class=\"node\"><title>37</title>\r\n",
       "<path fill=\"#e58139\" stroke=\"black\" d=\"M1182,-417.5C1182,-417.5 1109,-417.5 1109,-417.5 1103,-417.5 1097,-411.5 1097,-405.5 1097,-405.5 1097,-361.5 1097,-361.5 1097,-355.5 1103,-349.5 1109,-349.5 1109,-349.5 1182,-349.5 1182,-349.5 1188,-349.5 1194,-355.5 1194,-361.5 1194,-361.5 1194,-405.5 1194,-405.5 1194,-411.5 1188,-417.5 1182,-417.5\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"1145.5\" y=\"-402.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.0</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1145.5\" y=\"-387.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 1</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1145.5\" y=\"-372.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [1, 0]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1145.5\" y=\"-357.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = 0</text>\r\n",
       "</g>\r\n",
       "<!-- 36&#45;&gt;37 -->\r\n",
       "<g id=\"edge37\" class=\"edge\"><title>36&#45;&gt;37</title>\r\n",
       "<path fill=\"none\" stroke=\"black\" d=\"M1184.68,-460.907C1179.02,-449.873 1172.88,-437.898 1167.18,-426.773\"/>\r\n",
       "<polygon fill=\"black\" stroke=\"black\" points=\"1170.19,-424.968 1162.51,-417.667 1163.96,-428.162 1170.19,-424.968\"/>\r\n",
       "</g>\r\n",
       "<!-- 38 -->\r\n",
       "<g id=\"node39\" class=\"node\"><title>38</title>\r\n",
       "<path fill=\"#4ba6e7\" stroke=\"black\" d=\"M1305,-425C1305,-425 1224,-425 1224,-425 1218,-425 1212,-419 1212,-413 1212,-413 1212,-354 1212,-354 1212,-348 1218,-342 1224,-342 1224,-342 1305,-342 1305,-342 1311,-342 1317,-348 1317,-354 1317,-354 1317,-413 1317,-413 1317,-419 1311,-425 1305,-425\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"1264.5\" y=\"-409.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">chol &lt;= 0.616</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1264.5\" y=\"-394.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.153</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1264.5\" y=\"-379.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 24</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1264.5\" y=\"-364.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [2, 22]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1264.5\" y=\"-349.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = &#160;</text>\r\n",
       "</g>\r\n",
       "<!-- 36&#45;&gt;38 -->\r\n",
       "<g id=\"edge38\" class=\"edge\"><title>36&#45;&gt;38</title>\r\n",
       "<path fill=\"none\" stroke=\"black\" d=\"M1225.97,-460.907C1230.32,-452.286 1234.95,-443.09 1239.45,-434.175\"/>\r\n",
       "<polygon fill=\"black\" stroke=\"black\" points=\"1242.69,-435.526 1244.07,-425.021 1236.44,-432.374 1242.69,-435.526\"/>\r\n",
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       "<!-- 39 -->\r\n",
       "<g id=\"node40\" class=\"node\"><title>39</title>\r\n",
       "<path fill=\"#42a2e6\" stroke=\"black\" d=\"M1250,-306C1250,-306 1145,-306 1145,-306 1139,-306 1133,-300 1133,-294 1133,-294 1133,-235 1133,-235 1133,-229 1139,-223 1145,-223 1145,-223 1250,-223 1250,-223 1256,-223 1262,-229 1262,-235 1262,-235 1262,-294 1262,-294 1262,-300 1256,-306 1250,-306\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"1197.5\" y=\"-290.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">trestbps &lt;= 0.902</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1197.5\" y=\"-275.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.087</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1197.5\" y=\"-260.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 22</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1197.5\" y=\"-245.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [1, 21]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1197.5\" y=\"-230.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = &#160;</text>\r\n",
       "</g>\r\n",
       "<!-- 38&#45;&gt;39 -->\r\n",
       "<g id=\"edge39\" class=\"edge\"><title>38&#45;&gt;39</title>\r\n",
       "<path fill=\"none\" stroke=\"black\" d=\"M1241.25,-341.907C1236.27,-333.195 1230.94,-323.897 1225.79,-314.893\"/>\r\n",
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       "<!-- 44 -->\r\n",
       "<g id=\"node45\" class=\"node\"><title>44</title>\r\n",
       "<path fill=\"#ffffff\" stroke=\"black\" d=\"M1369,-306C1369,-306 1292,-306 1292,-306 1286,-306 1280,-300 1280,-294 1280,-294 1280,-235 1280,-235 1280,-229 1286,-223 1292,-223 1292,-223 1369,-223 1369,-223 1375,-223 1381,-229 1381,-235 1381,-235 1381,-294 1381,-294 1381,-300 1375,-306 1369,-306\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"1330.5\" y=\"-290.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">age &lt;= 0.024</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1330.5\" y=\"-275.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.5</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1330.5\" y=\"-260.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 2</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1330.5\" y=\"-245.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [1, 1]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1330.5\" y=\"-230.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = 0</text>\r\n",
       "</g>\r\n",
       "<!-- 38&#45;&gt;44 -->\r\n",
       "<g id=\"edge44\" class=\"edge\"><title>38&#45;&gt;44</title>\r\n",
       "<path fill=\"none\" stroke=\"black\" d=\"M1287.4,-341.907C1292.31,-333.195 1297.56,-323.897 1302.64,-314.893\"/>\r\n",
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       "<!-- 40 -->\r\n",
       "<g id=\"node41\" class=\"node\"><title>40</title>\r\n",
       "<path fill=\"#399de5\" stroke=\"black\" d=\"M1117,-179.5C1117,-179.5 1036,-179.5 1036,-179.5 1030,-179.5 1024,-173.5 1024,-167.5 1024,-167.5 1024,-123.5 1024,-123.5 1024,-117.5 1030,-111.5 1036,-111.5 1036,-111.5 1117,-111.5 1117,-111.5 1123,-111.5 1129,-117.5 1129,-123.5 1129,-123.5 1129,-167.5 1129,-167.5 1129,-173.5 1123,-179.5 1117,-179.5\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"1076.5\" y=\"-164.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.0</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1076.5\" y=\"-149.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 17</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1076.5\" y=\"-134.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [0, 17]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1076.5\" y=\"-119.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = &#160;</text>\r\n",
       "</g>\r\n",
       "<!-- 39&#45;&gt;40 -->\r\n",
       "<g id=\"edge40\" class=\"edge\"><title>39&#45;&gt;40</title>\r\n",
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       "<g id=\"node42\" class=\"node\"><title>41</title>\r\n",
       "<path fill=\"#6ab6ec\" stroke=\"black\" d=\"M1241.5,-187C1241.5,-187 1159.5,-187 1159.5,-187 1153.5,-187 1147.5,-181 1147.5,-175 1147.5,-175 1147.5,-116 1147.5,-116 1147.5,-110 1153.5,-104 1159.5,-104 1159.5,-104 1241.5,-104 1241.5,-104 1247.5,-104 1253.5,-110 1253.5,-116 1253.5,-116 1253.5,-175 1253.5,-175 1253.5,-181 1247.5,-187 1241.5,-187\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"1200.5\" y=\"-171.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">age &lt;= &#45;0.198</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1200.5\" y=\"-156.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.32</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1200.5\" y=\"-141.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 5</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1200.5\" y=\"-126.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [1, 4]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1200.5\" y=\"-111.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = &#160;</text>\r\n",
       "</g>\r\n",
       "<!-- 39&#45;&gt;41 -->\r\n",
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       "<!-- 42 -->\r\n",
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       "<path fill=\"#e58139\" stroke=\"black\" d=\"M1179,-68C1179,-68 1106,-68 1106,-68 1100,-68 1094,-62 1094,-56 1094,-56 1094,-12 1094,-12 1094,-6 1100,-0 1106,-0 1106,-0 1179,-0 1179,-0 1185,-0 1191,-6 1191,-12 1191,-12 1191,-56 1191,-56 1191,-62 1185,-68 1179,-68\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"1142.5\" y=\"-52.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.0</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1142.5\" y=\"-37.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 1</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1142.5\" y=\"-22.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [1, 0]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1142.5\" y=\"-7.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = 0</text>\r\n",
       "</g>\r\n",
       "<!-- 41&#45;&gt;42 -->\r\n",
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       "<!-- 43 -->\r\n",
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       "<path fill=\"#399de5\" stroke=\"black\" d=\"M1294,-68C1294,-68 1221,-68 1221,-68 1215,-68 1209,-62 1209,-56 1209,-56 1209,-12 1209,-12 1209,-6 1215,-0 1221,-0 1221,-0 1294,-0 1294,-0 1300,-0 1306,-6 1306,-12 1306,-12 1306,-56 1306,-56 1306,-62 1300,-68 1294,-68\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"1257.5\" y=\"-52.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.0</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1257.5\" y=\"-37.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 4</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1257.5\" y=\"-22.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [0, 4]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1257.5\" y=\"-7.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = &#160;</text>\r\n",
       "</g>\r\n",
       "<!-- 41&#45;&gt;43 -->\r\n",
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       "<!-- 45 -->\r\n",
       "<g id=\"node46\" class=\"node\"><title>45</title>\r\n",
       "<path fill=\"#399de5\" stroke=\"black\" d=\"M1363,-179.5C1363,-179.5 1290,-179.5 1290,-179.5 1284,-179.5 1278,-173.5 1278,-167.5 1278,-167.5 1278,-123.5 1278,-123.5 1278,-117.5 1284,-111.5 1290,-111.5 1290,-111.5 1363,-111.5 1363,-111.5 1369,-111.5 1375,-117.5 1375,-123.5 1375,-123.5 1375,-167.5 1375,-167.5 1375,-173.5 1369,-179.5 1363,-179.5\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"1326.5\" y=\"-164.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.0</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1326.5\" y=\"-149.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 1</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1326.5\" y=\"-134.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [0, 1]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1326.5\" y=\"-119.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = &#160;</text>\r\n",
       "</g>\r\n",
       "<!-- 44&#45;&gt;45 -->\r\n",
       "<g id=\"edge45\" class=\"edge\"><title>44&#45;&gt;45</title>\r\n",
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       "<!-- 46 -->\r\n",
       "<g id=\"node47\" class=\"node\"><title>46</title>\r\n",
       "<path fill=\"#e58139\" stroke=\"black\" d=\"M1478,-179.5C1478,-179.5 1405,-179.5 1405,-179.5 1399,-179.5 1393,-173.5 1393,-167.5 1393,-167.5 1393,-123.5 1393,-123.5 1393,-117.5 1399,-111.5 1405,-111.5 1405,-111.5 1478,-111.5 1478,-111.5 1484,-111.5 1490,-117.5 1490,-123.5 1490,-123.5 1490,-167.5 1490,-167.5 1490,-173.5 1484,-179.5 1478,-179.5\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"1441.5\" y=\"-164.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.0</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1441.5\" y=\"-149.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 1</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1441.5\" y=\"-134.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [1, 0]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1441.5\" y=\"-119.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = 0</text>\r\n",
       "</g>\r\n",
       "<!-- 44&#45;&gt;46 -->\r\n",
       "<g id=\"edge46\" class=\"edge\"><title>44&#45;&gt;46</title>\r\n",
       "<path fill=\"none\" stroke=\"black\" d=\"M1369.01,-222.907C1380,-211.321 1391.98,-198.698 1402.97,-187.111\"/>\r\n",
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       "<!-- 49 -->\r\n",
       "<g id=\"node50\" class=\"node\"><title>49</title>\r\n",
       "<path fill=\"#399de5\" stroke=\"black\" d=\"M1499,-536.5C1499,-536.5 1426,-536.5 1426,-536.5 1420,-536.5 1414,-530.5 1414,-524.5 1414,-524.5 1414,-480.5 1414,-480.5 1414,-474.5 1420,-468.5 1426,-468.5 1426,-468.5 1499,-468.5 1499,-468.5 1505,-468.5 1511,-474.5 1511,-480.5 1511,-480.5 1511,-524.5 1511,-524.5 1511,-530.5 1505,-536.5 1499,-536.5\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"1462.5\" y=\"-521.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.0</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1462.5\" y=\"-506.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 1</text>\r\n",
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       "<text text-anchor=\"middle\" x=\"1462.5\" y=\"-476.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = &#160;</text>\r\n",
       "</g>\r\n",
       "<!-- 48&#45;&gt;49 -->\r\n",
       "<g id=\"edge49\" class=\"edge\"><title>48&#45;&gt;49</title>\r\n",
       "<path fill=\"none\" stroke=\"black\" d=\"M1496.46,-579.907C1491.6,-568.983 1486.34,-557.137 1481.44,-546.107\"/>\r\n",
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       "<!-- 50 -->\r\n",
       "<g id=\"node51\" class=\"node\"><title>50</title>\r\n",
       "<path fill=\"#e58139\" stroke=\"black\" d=\"M1614,-536.5C1614,-536.5 1541,-536.5 1541,-536.5 1535,-536.5 1529,-530.5 1529,-524.5 1529,-524.5 1529,-480.5 1529,-480.5 1529,-474.5 1535,-468.5 1541,-468.5 1541,-468.5 1614,-468.5 1614,-468.5 1620,-468.5 1626,-474.5 1626,-480.5 1626,-480.5 1626,-524.5 1626,-524.5 1626,-530.5 1620,-536.5 1614,-536.5\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"1577.5\" y=\"-521.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.0</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1577.5\" y=\"-506.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 1</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1577.5\" y=\"-491.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [1, 0]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1577.5\" y=\"-476.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = 0</text>\r\n",
       "</g>\r\n",
       "<!-- 48&#45;&gt;50 -->\r\n",
       "<g id=\"edge50\" class=\"edge\"><title>48&#45;&gt;50</title>\r\n",
       "<path fill=\"none\" stroke=\"black\" d=\"M1536.36,-579.907C1542.3,-568.873 1548.75,-556.898 1554.74,-545.773\"/>\r\n",
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       "<!-- 52 -->\r\n",
       "<g id=\"node53\" class=\"node\"><title>52</title>\r\n",
       "<path fill=\"#65b3eb\" stroke=\"black\" d=\"M1801.5,-663C1801.5,-663 1699.5,-663 1699.5,-663 1693.5,-663 1687.5,-657 1687.5,-651 1687.5,-651 1687.5,-592 1687.5,-592 1687.5,-586 1693.5,-580 1699.5,-580 1699.5,-580 1801.5,-580 1801.5,-580 1807.5,-580 1813.5,-586 1813.5,-592 1813.5,-592 1813.5,-651 1813.5,-651 1813.5,-657 1807.5,-663 1801.5,-663\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"1750.5\" y=\"-647.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">thalach &lt;= &#45;0.472</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1750.5\" y=\"-632.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.298</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1750.5\" y=\"-617.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 11</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1750.5\" y=\"-602.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [2, 9]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1750.5\" y=\"-587.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = &#160;</text>\r\n",
       "</g>\r\n",
       "<!-- 51&#45;&gt;52 -->\r\n",
       "<g id=\"edge52\" class=\"edge\"><title>51&#45;&gt;52</title>\r\n",
       "<path fill=\"none\" stroke=\"black\" d=\"M1750.5,-698.907C1750.5,-690.649 1750.5,-681.864 1750.5,-673.302\"/>\r\n",
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       "<!-- 59 -->\r\n",
       "<g id=\"node60\" class=\"node\"><title>59</title>\r\n",
       "<path fill=\"#f6d5bd\" stroke=\"black\" d=\"M1982.5,-663C1982.5,-663 1902.5,-663 1902.5,-663 1896.5,-663 1890.5,-657 1890.5,-651 1890.5,-651 1890.5,-592 1890.5,-592 1890.5,-586 1896.5,-580 1902.5,-580 1902.5,-580 1982.5,-580 1982.5,-580 1988.5,-580 1994.5,-586 1994.5,-592 1994.5,-592 1994.5,-651 1994.5,-651 1994.5,-657 1988.5,-663 1982.5,-663\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"1942.5\" y=\"-647.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">chol &lt;= 1.002</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1942.5\" y=\"-632.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.48</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1942.5\" y=\"-617.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 5</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1942.5\" y=\"-602.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [3, 2]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1942.5\" y=\"-587.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = 0</text>\r\n",
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       "<!-- 51&#45;&gt;59 -->\r\n",
       "<g id=\"edge59\" class=\"edge\"><title>51&#45;&gt;59</title>\r\n",
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       "<!-- 53 -->\r\n",
       "<g id=\"node54\" class=\"node\"><title>53</title>\r\n",
       "<path fill=\"#e58139\" stroke=\"black\" d=\"M1729,-536.5C1729,-536.5 1656,-536.5 1656,-536.5 1650,-536.5 1644,-530.5 1644,-524.5 1644,-524.5 1644,-480.5 1644,-480.5 1644,-474.5 1650,-468.5 1656,-468.5 1656,-468.5 1729,-468.5 1729,-468.5 1735,-468.5 1741,-474.5 1741,-480.5 1741,-480.5 1741,-524.5 1741,-524.5 1741,-530.5 1735,-536.5 1729,-536.5\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"1692.5\" y=\"-521.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.0</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1692.5\" y=\"-506.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 1</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1692.5\" y=\"-491.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [1, 0]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1692.5\" y=\"-476.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = 0</text>\r\n",
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       "<!-- 52&#45;&gt;53 -->\r\n",
       "<g id=\"edge53\" class=\"edge\"><title>52&#45;&gt;53</title>\r\n",
       "<path fill=\"none\" stroke=\"black\" d=\"M1730.38,-579.907C1724.91,-568.873 1718.97,-556.898 1713.46,-545.773\"/>\r\n",
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       "<g id=\"node55\" class=\"node\"><title>54</title>\r\n",
       "<path fill=\"#4fa8e8\" stroke=\"black\" d=\"M1864,-544C1864,-544 1771,-544 1771,-544 1765,-544 1759,-538 1759,-532 1759,-532 1759,-473 1759,-473 1759,-467 1765,-461 1771,-461 1771,-461 1864,-461 1864,-461 1870,-461 1876,-467 1876,-473 1876,-473 1876,-532 1876,-532 1876,-538 1870,-544 1864,-544\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"1817.5\" y=\"-528.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">slope &lt;= &#45;1.477</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1817.5\" y=\"-513.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.18</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1817.5\" y=\"-498.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 10</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1817.5\" y=\"-483.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [1, 9]</text>\r\n",
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       "<!-- 52&#45;&gt;54 -->\r\n",
       "<g id=\"edge54\" class=\"edge\"><title>52&#45;&gt;54</title>\r\n",
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       "<g id=\"node56\" class=\"node\"><title>55</title>\r\n",
       "<path fill=\"#ffffff\" stroke=\"black\" d=\"M1798.5,-425C1798.5,-425 1716.5,-425 1716.5,-425 1710.5,-425 1704.5,-419 1704.5,-413 1704.5,-413 1704.5,-354 1704.5,-354 1704.5,-348 1710.5,-342 1716.5,-342 1716.5,-342 1798.5,-342 1798.5,-342 1804.5,-342 1810.5,-348 1810.5,-354 1810.5,-354 1810.5,-413 1810.5,-413 1810.5,-419 1804.5,-425 1798.5,-425\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"1757.5\" y=\"-409.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">age &lt;= &#45;1.028</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1757.5\" y=\"-394.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.5</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1757.5\" y=\"-379.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 2</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1757.5\" y=\"-364.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [1, 1]</text>\r\n",
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       "<!-- 54&#45;&gt;55 -->\r\n",
       "<g id=\"edge55\" class=\"edge\"><title>54&#45;&gt;55</title>\r\n",
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       "<!-- 58 -->\r\n",
       "<g id=\"node59\" class=\"node\"><title>58</title>\r\n",
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       "<text text-anchor=\"middle\" x=\"1877.5\" y=\"-402.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.0</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1877.5\" y=\"-387.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 8</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1877.5\" y=\"-372.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [0, 8]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1877.5\" y=\"-357.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = &#160;</text>\r\n",
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       "<!-- 54&#45;&gt;58 -->\r\n",
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       "<g id=\"node57\" class=\"node\"><title>56</title>\r\n",
       "<path fill=\"#399de5\" stroke=\"black\" d=\"M1736,-298.5C1736,-298.5 1663,-298.5 1663,-298.5 1657,-298.5 1651,-292.5 1651,-286.5 1651,-286.5 1651,-242.5 1651,-242.5 1651,-236.5 1657,-230.5 1663,-230.5 1663,-230.5 1736,-230.5 1736,-230.5 1742,-230.5 1748,-236.5 1748,-242.5 1748,-242.5 1748,-286.5 1748,-286.5 1748,-292.5 1742,-298.5 1736,-298.5\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"1699.5\" y=\"-283.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.0</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1699.5\" y=\"-268.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 1</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1699.5\" y=\"-253.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [0, 1]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1699.5\" y=\"-238.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = &#160;</text>\r\n",
       "</g>\r\n",
       "<!-- 55&#45;&gt;56 -->\r\n",
       "<g id=\"edge56\" class=\"edge\"><title>55&#45;&gt;56</title>\r\n",
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       "<!-- 57 -->\r\n",
       "<g id=\"node58\" class=\"node\"><title>57</title>\r\n",
       "<path fill=\"#e58139\" stroke=\"black\" d=\"M1851,-298.5C1851,-298.5 1778,-298.5 1778,-298.5 1772,-298.5 1766,-292.5 1766,-286.5 1766,-286.5 1766,-242.5 1766,-242.5 1766,-236.5 1772,-230.5 1778,-230.5 1778,-230.5 1851,-230.5 1851,-230.5 1857,-230.5 1863,-236.5 1863,-242.5 1863,-242.5 1863,-286.5 1863,-286.5 1863,-292.5 1857,-298.5 1851,-298.5\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"1814.5\" y=\"-283.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.0</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1814.5\" y=\"-268.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 1</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1814.5\" y=\"-253.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [1, 0]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1814.5\" y=\"-238.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = 0</text>\r\n",
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       "<!-- 55&#45;&gt;57 -->\r\n",
       "<g id=\"edge57\" class=\"edge\"><title>55&#45;&gt;57</title>\r\n",
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       "<!-- 60 -->\r\n",
       "<g id=\"node61\" class=\"node\"><title>60</title>\r\n",
       "<path fill=\"#e58139\" stroke=\"black\" d=\"M1979,-536.5C1979,-536.5 1906,-536.5 1906,-536.5 1900,-536.5 1894,-530.5 1894,-524.5 1894,-524.5 1894,-480.5 1894,-480.5 1894,-474.5 1900,-468.5 1906,-468.5 1906,-468.5 1979,-468.5 1979,-468.5 1985,-468.5 1991,-474.5 1991,-480.5 1991,-480.5 1991,-524.5 1991,-524.5 1991,-530.5 1985,-536.5 1979,-536.5\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"1942.5\" y=\"-521.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.0</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1942.5\" y=\"-506.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 3</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1942.5\" y=\"-491.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [3, 0]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1942.5\" y=\"-476.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = 0</text>\r\n",
       "</g>\r\n",
       "<!-- 59&#45;&gt;60 -->\r\n",
       "<g id=\"edge60\" class=\"edge\"><title>59&#45;&gt;60</title>\r\n",
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       "<polygon fill=\"black\" stroke=\"black\" points=\"1946,-546.667 1942.5,-536.667 1939,-546.667 1946,-546.667\"/>\r\n",
       "</g>\r\n",
       "<!-- 61 -->\r\n",
       "<g id=\"node62\" class=\"node\"><title>61</title>\r\n",
       "<path fill=\"#399de5\" stroke=\"black\" d=\"M2094,-536.5C2094,-536.5 2021,-536.5 2021,-536.5 2015,-536.5 2009,-530.5 2009,-524.5 2009,-524.5 2009,-480.5 2009,-480.5 2009,-474.5 2015,-468.5 2021,-468.5 2021,-468.5 2094,-468.5 2094,-468.5 2100,-468.5 2106,-474.5 2106,-480.5 2106,-480.5 2106,-524.5 2106,-524.5 2106,-530.5 2100,-536.5 2094,-536.5\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"2057.5\" y=\"-521.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.0</text>\r\n",
       "<text text-anchor=\"middle\" x=\"2057.5\" y=\"-506.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 2</text>\r\n",
       "<text text-anchor=\"middle\" x=\"2057.5\" y=\"-491.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [0, 2]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"2057.5\" y=\"-476.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = &#160;</text>\r\n",
       "</g>\r\n",
       "<!-- 59&#45;&gt;61 -->\r\n",
       "<g id=\"edge61\" class=\"edge\"><title>59&#45;&gt;61</title>\r\n",
       "<path fill=\"none\" stroke=\"black\" d=\"M1982.4,-579.907C1993.79,-568.321 2006.19,-555.698 2017.58,-544.111\"/>\r\n",
       "<polygon fill=\"black\" stroke=\"black\" points=\"2020.39,-546.252 2024.9,-536.667 2015.39,-541.345 2020.39,-546.252\"/>\r\n",
       "</g>\r\n",
       "<!-- 63 -->\r\n",
       "<g id=\"node64\" class=\"node\"><title>63</title>\r\n",
       "<path fill=\"#eca06a\" stroke=\"black\" d=\"M2426,-782C2426,-782 2321,-782 2321,-782 2315,-782 2309,-776 2309,-770 2309,-770 2309,-711 2309,-711 2309,-705 2315,-699 2321,-699 2321,-699 2426,-699 2426,-699 2432,-699 2438,-705 2438,-711 2438,-711 2438,-770 2438,-770 2438,-776 2432,-782 2426,-782\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"2373.5\" y=\"-766.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">trestbps &lt;= 0.648</text>\r\n",
       "<text text-anchor=\"middle\" x=\"2373.5\" y=\"-751.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.32</text>\r\n",
       "<text text-anchor=\"middle\" x=\"2373.5\" y=\"-736.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 15</text>\r\n",
       "<text text-anchor=\"middle\" x=\"2373.5\" y=\"-721.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [12, 3]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"2373.5\" y=\"-706.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = 0</text>\r\n",
       "</g>\r\n",
       "<!-- 62&#45;&gt;63 -->\r\n",
       "<g id=\"edge63\" class=\"edge\"><title>62&#45;&gt;63</title>\r\n",
       "<path fill=\"none\" stroke=\"black\" d=\"M2373.5,-817.907C2373.5,-809.649 2373.5,-800.864 2373.5,-792.302\"/>\r\n",
       "<polygon fill=\"black\" stroke=\"black\" points=\"2377,-792.021 2373.5,-782.021 2370,-792.021 2377,-792.021\"/>\r\n",
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       "<!-- 74 -->\r\n",
       "<g id=\"node75\" class=\"node\"><title>74</title>\r\n",
       "<path fill=\"#80c0ee\" stroke=\"black\" d=\"M2762,-782C2762,-782 2681,-782 2681,-782 2675,-782 2669,-776 2669,-770 2669,-770 2669,-711 2669,-711 2669,-705 2675,-699 2681,-699 2681,-699 2762,-699 2762,-699 2768,-699 2774,-705 2774,-711 2774,-711 2774,-770 2774,-770 2774,-776 2768,-782 2762,-782\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"2721.5\" y=\"-766.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">ca &lt;= 0.901</text>\r\n",
       "<text text-anchor=\"middle\" x=\"2721.5\" y=\"-751.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.388</text>\r\n",
       "<text text-anchor=\"middle\" x=\"2721.5\" y=\"-736.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 19</text>\r\n",
       "<text text-anchor=\"middle\" x=\"2721.5\" y=\"-721.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [5, 14]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"2721.5\" y=\"-706.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = &#160;</text>\r\n",
       "</g>\r\n",
       "<!-- 62&#45;&gt;74 -->\r\n",
       "<g id=\"edge74\" class=\"edge\"><title>62&#45;&gt;74</title>\r\n",
       "<path fill=\"none\" stroke=\"black\" d=\"M2430.19,-839.442C2493.02,-818.316 2594.06,-784.345 2659.11,-762.477\"/>\r\n",
       "<polygon fill=\"black\" stroke=\"black\" points=\"2660.46,-765.713 2668.83,-759.209 2658.23,-759.078 2660.46,-765.713\"/>\r\n",
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       "<!-- 64 -->\r\n",
       "<g id=\"node65\" class=\"node\"><title>64</title>\r\n",
       "<path fill=\"#e78c4b\" stroke=\"black\" d=\"M2347,-663C2347,-663 2266,-663 2266,-663 2260,-663 2254,-657 2254,-651 2254,-651 2254,-592 2254,-592 2254,-586 2260,-580 2266,-580 2266,-580 2347,-580 2347,-580 2353,-580 2359,-586 2359,-592 2359,-592 2359,-651 2359,-651 2359,-657 2353,-663 2347,-663\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"2306.5\" y=\"-647.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">ca &lt;= 1.954</text>\r\n",
       "<text text-anchor=\"middle\" x=\"2306.5\" y=\"-632.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.153</text>\r\n",
       "<text text-anchor=\"middle\" x=\"2306.5\" y=\"-617.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 12</text>\r\n",
       "<text text-anchor=\"middle\" x=\"2306.5\" y=\"-602.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [11, 1]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"2306.5\" y=\"-587.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = 0</text>\r\n",
       "</g>\r\n",
       "<!-- 63&#45;&gt;64 -->\r\n",
       "<g id=\"edge64\" class=\"edge\"><title>63&#45;&gt;64</title>\r\n",
       "<path fill=\"none\" stroke=\"black\" d=\"M2350.25,-698.907C2345.27,-690.195 2339.94,-680.897 2334.79,-671.893\"/>\r\n",
       "<polygon fill=\"black\" stroke=\"black\" points=\"2337.71,-669.959 2329.7,-663.021 2331.64,-673.438 2337.71,-669.959\"/>\r\n",
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       "<!-- 71 -->\r\n",
       "<g id=\"node72\" class=\"node\"><title>71</title>\r\n",
       "<path fill=\"#9ccef2\" stroke=\"black\" d=\"M2478,-663C2478,-663 2403,-663 2403,-663 2397,-663 2391,-657 2391,-651 2391,-651 2391,-592 2391,-592 2391,-586 2397,-580 2403,-580 2403,-580 2478,-580 2478,-580 2484,-580 2490,-586 2490,-592 2490,-592 2490,-651 2490,-651 2490,-657 2484,-663 2478,-663\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"2440.5\" y=\"-647.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">thal &lt;= 0.305</text>\r\n",
       "<text text-anchor=\"middle\" x=\"2440.5\" y=\"-632.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.444</text>\r\n",
       "<text text-anchor=\"middle\" x=\"2440.5\" y=\"-617.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 3</text>\r\n",
       "<text text-anchor=\"middle\" x=\"2440.5\" y=\"-602.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [1, 2]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"2440.5\" y=\"-587.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = &#160;</text>\r\n",
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       "<!-- 63&#45;&gt;71 -->\r\n",
       "<g id=\"edge71\" class=\"edge\"><title>63&#45;&gt;71</title>\r\n",
       "<path fill=\"none\" stroke=\"black\" d=\"M2396.75,-698.907C2401.73,-690.195 2407.06,-680.897 2412.21,-671.893\"/>\r\n",
       "<polygon fill=\"black\" stroke=\"black\" points=\"2415.36,-673.438 2417.3,-663.021 2409.29,-669.959 2415.36,-673.438\"/>\r\n",
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       "<!-- 65 -->\r\n",
       "<g id=\"node66\" class=\"node\"><title>65</title>\r\n",
       "<path fill=\"#e58139\" stroke=\"black\" d=\"M2209,-536.5C2209,-536.5 2136,-536.5 2136,-536.5 2130,-536.5 2124,-530.5 2124,-524.5 2124,-524.5 2124,-480.5 2124,-480.5 2124,-474.5 2130,-468.5 2136,-468.5 2136,-468.5 2209,-468.5 2209,-468.5 2215,-468.5 2221,-474.5 2221,-480.5 2221,-480.5 2221,-524.5 2221,-524.5 2221,-530.5 2215,-536.5 2209,-536.5\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"2172.5\" y=\"-521.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.0</text>\r\n",
       "<text text-anchor=\"middle\" x=\"2172.5\" y=\"-506.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 9</text>\r\n",
       "<text text-anchor=\"middle\" x=\"2172.5\" y=\"-491.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [9, 0]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"2172.5\" y=\"-476.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = 0</text>\r\n",
       "</g>\r\n",
       "<!-- 64&#45;&gt;65 -->\r\n",
       "<g id=\"edge65\" class=\"edge\"><title>64&#45;&gt;65</title>\r\n",
       "<path fill=\"none\" stroke=\"black\" d=\"M2260.01,-579.907C2246.49,-568.101 2231.73,-555.217 2218.25,-543.45\"/>\r\n",
       "<polygon fill=\"black\" stroke=\"black\" points=\"2220.32,-540.608 2210.49,-536.667 2215.72,-545.881 2220.32,-540.608\"/>\r\n",
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       "<!-- 66 -->\r\n",
       "<g id=\"node67\" class=\"node\"><title>66</title>\r\n",
       "<path fill=\"#f2c09c\" stroke=\"black\" d=\"M2361.5,-544C2361.5,-544 2251.5,-544 2251.5,-544 2245.5,-544 2239.5,-538 2239.5,-532 2239.5,-532 2239.5,-473 2239.5,-473 2239.5,-467 2245.5,-461 2251.5,-461 2251.5,-461 2361.5,-461 2361.5,-461 2367.5,-461 2373.5,-467 2373.5,-473 2373.5,-473 2373.5,-532 2373.5,-532 2373.5,-538 2367.5,-544 2361.5,-544\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"2306.5\" y=\"-528.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">trestbps &lt;= &#45;0.369</text>\r\n",
       "<text text-anchor=\"middle\" x=\"2306.5\" y=\"-513.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.444</text>\r\n",
       "<text text-anchor=\"middle\" x=\"2306.5\" y=\"-498.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 3</text>\r\n",
       "<text text-anchor=\"middle\" x=\"2306.5\" y=\"-483.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [2, 1]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"2306.5\" y=\"-468.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = 0</text>\r\n",
       "</g>\r\n",
       "<!-- 64&#45;&gt;66 -->\r\n",
       "<g id=\"edge66\" class=\"edge\"><title>64&#45;&gt;66</title>\r\n",
       "<path fill=\"none\" stroke=\"black\" d=\"M2306.5,-579.907C2306.5,-571.649 2306.5,-562.864 2306.5,-554.302\"/>\r\n",
       "<polygon fill=\"black\" stroke=\"black\" points=\"2310,-554.021 2306.5,-544.021 2303,-554.021 2310,-554.021\"/>\r\n",
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       "<!-- 67 -->\r\n",
       "<g id=\"node68\" class=\"node\"><title>67</title>\r\n",
       "<path fill=\"#e58139\" stroke=\"black\" d=\"M2283,-417.5C2283,-417.5 2210,-417.5 2210,-417.5 2204,-417.5 2198,-411.5 2198,-405.5 2198,-405.5 2198,-361.5 2198,-361.5 2198,-355.5 2204,-349.5 2210,-349.5 2210,-349.5 2283,-349.5 2283,-349.5 2289,-349.5 2295,-355.5 2295,-361.5 2295,-361.5 2295,-405.5 2295,-405.5 2295,-411.5 2289,-417.5 2283,-417.5\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"2246.5\" y=\"-402.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.0</text>\r\n",
       "<text text-anchor=\"middle\" x=\"2246.5\" y=\"-387.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 1</text>\r\n",
       "<text text-anchor=\"middle\" x=\"2246.5\" y=\"-372.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [1, 0]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"2246.5\" y=\"-357.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = 0</text>\r\n",
       "</g>\r\n",
       "<!-- 66&#45;&gt;67 -->\r\n",
       "<g id=\"edge67\" class=\"edge\"><title>66&#45;&gt;67</title>\r\n",
       "<path fill=\"none\" stroke=\"black\" d=\"M2285.68,-460.907C2280.02,-449.873 2273.88,-437.898 2268.18,-426.773\"/>\r\n",
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       "<!-- 68 -->\r\n",
       "<g id=\"node69\" class=\"node\"><title>68</title>\r\n",
       "<path fill=\"#ffffff\" stroke=\"black\" d=\"M2409.5,-425C2409.5,-425 2325.5,-425 2325.5,-425 2319.5,-425 2313.5,-419 2313.5,-413 2313.5,-413 2313.5,-354 2313.5,-354 2313.5,-348 2319.5,-342 2325.5,-342 2325.5,-342 2409.5,-342 2409.5,-342 2415.5,-342 2421.5,-348 2421.5,-354 2421.5,-354 2421.5,-413 2421.5,-413 2421.5,-419 2415.5,-425 2409.5,-425\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"2367.5\" y=\"-409.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">chol &lt;= &#45;0.063</text>\r\n",
       "<text text-anchor=\"middle\" x=\"2367.5\" y=\"-394.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.5</text>\r\n",
       "<text text-anchor=\"middle\" x=\"2367.5\" y=\"-379.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 2</text>\r\n",
       "<text text-anchor=\"middle\" x=\"2367.5\" y=\"-364.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [1, 1]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"2367.5\" y=\"-349.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = 0</text>\r\n",
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       "<!-- 66&#45;&gt;68 -->\r\n",
       "<g id=\"edge68\" class=\"edge\"><title>66&#45;&gt;68</title>\r\n",
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       "<!-- 69 -->\r\n",
       "<g id=\"node70\" class=\"node\"><title>69</title>\r\n",
       "<path fill=\"#399de5\" stroke=\"black\" d=\"M2346,-298.5C2346,-298.5 2273,-298.5 2273,-298.5 2267,-298.5 2261,-292.5 2261,-286.5 2261,-286.5 2261,-242.5 2261,-242.5 2261,-236.5 2267,-230.5 2273,-230.5 2273,-230.5 2346,-230.5 2346,-230.5 2352,-230.5 2358,-236.5 2358,-242.5 2358,-242.5 2358,-286.5 2358,-286.5 2358,-292.5 2352,-298.5 2346,-298.5\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"2309.5\" y=\"-283.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.0</text>\r\n",
       "<text text-anchor=\"middle\" x=\"2309.5\" y=\"-268.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 1</text>\r\n",
       "<text text-anchor=\"middle\" x=\"2309.5\" y=\"-253.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [0, 1]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"2309.5\" y=\"-238.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = &#160;</text>\r\n",
       "</g>\r\n",
       "<!-- 68&#45;&gt;69 -->\r\n",
       "<g id=\"edge69\" class=\"edge\"><title>68&#45;&gt;69</title>\r\n",
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       "<!-- 70 -->\r\n",
       "<g id=\"node71\" class=\"node\"><title>70</title>\r\n",
       "<path fill=\"#e58139\" stroke=\"black\" d=\"M2461,-298.5C2461,-298.5 2388,-298.5 2388,-298.5 2382,-298.5 2376,-292.5 2376,-286.5 2376,-286.5 2376,-242.5 2376,-242.5 2376,-236.5 2382,-230.5 2388,-230.5 2388,-230.5 2461,-230.5 2461,-230.5 2467,-230.5 2473,-236.5 2473,-242.5 2473,-242.5 2473,-286.5 2473,-286.5 2473,-292.5 2467,-298.5 2461,-298.5\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"2424.5\" y=\"-283.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.0</text>\r\n",
       "<text text-anchor=\"middle\" x=\"2424.5\" y=\"-268.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 1</text>\r\n",
       "<text text-anchor=\"middle\" x=\"2424.5\" y=\"-253.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [1, 0]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"2424.5\" y=\"-238.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = 0</text>\r\n",
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       "<!-- 68&#45;&gt;70 -->\r\n",
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       "<!-- 72 -->\r\n",
       "<g id=\"node73\" class=\"node\"><title>72</title>\r\n",
       "<path fill=\"#399de5\" stroke=\"black\" d=\"M2477,-536.5C2477,-536.5 2404,-536.5 2404,-536.5 2398,-536.5 2392,-530.5 2392,-524.5 2392,-524.5 2392,-480.5 2392,-480.5 2392,-474.5 2398,-468.5 2404,-468.5 2404,-468.5 2477,-468.5 2477,-468.5 2483,-468.5 2489,-474.5 2489,-480.5 2489,-480.5 2489,-524.5 2489,-524.5 2489,-530.5 2483,-536.5 2477,-536.5\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"2440.5\" y=\"-521.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.0</text>\r\n",
       "<text text-anchor=\"middle\" x=\"2440.5\" y=\"-506.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 2</text>\r\n",
       "<text text-anchor=\"middle\" x=\"2440.5\" y=\"-491.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [0, 2]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"2440.5\" y=\"-476.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = &#160;</text>\r\n",
       "</g>\r\n",
       "<!-- 71&#45;&gt;72 -->\r\n",
       "<g id=\"edge72\" class=\"edge\"><title>71&#45;&gt;72</title>\r\n",
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       "<!-- 73 -->\r\n",
       "<g id=\"node74\" class=\"node\"><title>73</title>\r\n",
       "<path fill=\"#e58139\" stroke=\"black\" d=\"M2592,-536.5C2592,-536.5 2519,-536.5 2519,-536.5 2513,-536.5 2507,-530.5 2507,-524.5 2507,-524.5 2507,-480.5 2507,-480.5 2507,-474.5 2513,-468.5 2519,-468.5 2519,-468.5 2592,-468.5 2592,-468.5 2598,-468.5 2604,-474.5 2604,-480.5 2604,-480.5 2604,-524.5 2604,-524.5 2604,-530.5 2598,-536.5 2592,-536.5\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"2555.5\" y=\"-521.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.0</text>\r\n",
       "<text text-anchor=\"middle\" x=\"2555.5\" y=\"-506.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 1</text>\r\n",
       "<text text-anchor=\"middle\" x=\"2555.5\" y=\"-491.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [1, 0]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"2555.5\" y=\"-476.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = 0</text>\r\n",
       "</g>\r\n",
       "<!-- 71&#45;&gt;73 -->\r\n",
       "<g id=\"edge73\" class=\"edge\"><title>71&#45;&gt;73</title>\r\n",
       "<path fill=\"none\" stroke=\"black\" d=\"M2480.4,-579.907C2491.79,-568.321 2504.19,-555.698 2515.58,-544.111\"/>\r\n",
       "<polygon fill=\"black\" stroke=\"black\" points=\"2518.39,-546.252 2522.9,-536.667 2513.39,-541.345 2518.39,-546.252\"/>\r\n",
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       "<!-- 75 -->\r\n",
       "<g id=\"node76\" class=\"node\"><title>75</title>\r\n",
       "<path fill=\"#4da7e8\" stroke=\"black\" d=\"M2770.5,-663C2770.5,-663 2672.5,-663 2672.5,-663 2666.5,-663 2660.5,-657 2660.5,-651 2660.5,-651 2660.5,-592 2660.5,-592 2660.5,-586 2666.5,-580 2672.5,-580 2672.5,-580 2770.5,-580 2770.5,-580 2776.5,-580 2782.5,-586 2782.5,-592 2782.5,-592 2782.5,-651 2782.5,-651 2782.5,-657 2776.5,-663 2770.5,-663\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"2721.5\" y=\"-647.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">thalach &lt;= 1.508</text>\r\n",
       "<text text-anchor=\"middle\" x=\"2721.5\" y=\"-632.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.165</text>\r\n",
       "<text text-anchor=\"middle\" x=\"2721.5\" y=\"-617.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 11</text>\r\n",
       "<text text-anchor=\"middle\" x=\"2721.5\" y=\"-602.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [1, 10]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"2721.5\" y=\"-587.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = &#160;</text>\r\n",
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       "<!-- 74&#45;&gt;75 -->\r\n",
       "<g id=\"edge75\" class=\"edge\"><title>74&#45;&gt;75</title>\r\n",
       "<path fill=\"none\" stroke=\"black\" d=\"M2721.5,-698.907C2721.5,-690.649 2721.5,-681.864 2721.5,-673.302\"/>\r\n",
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       "<!-- 78 -->\r\n",
       "<g id=\"node79\" class=\"node\"><title>78</title>\r\n",
       "<path fill=\"#ffffff\" stroke=\"black\" d=\"M2957.5,-663C2957.5,-663 2859.5,-663 2859.5,-663 2853.5,-663 2847.5,-657 2847.5,-651 2847.5,-651 2847.5,-592 2847.5,-592 2847.5,-586 2853.5,-580 2859.5,-580 2859.5,-580 2957.5,-580 2957.5,-580 2963.5,-580 2969.5,-586 2969.5,-592 2969.5,-592 2969.5,-651 2969.5,-651 2969.5,-657 2963.5,-663 2957.5,-663\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"2908.5\" y=\"-647.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">thalach &lt;= 0.788</text>\r\n",
       "<text text-anchor=\"middle\" x=\"2908.5\" y=\"-632.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.5</text>\r\n",
       "<text text-anchor=\"middle\" x=\"2908.5\" y=\"-617.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 8</text>\r\n",
       "<text text-anchor=\"middle\" x=\"2908.5\" y=\"-602.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [4, 4]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"2908.5\" y=\"-587.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = 0</text>\r\n",
       "</g>\r\n",
       "<!-- 74&#45;&gt;78 -->\r\n",
       "<g id=\"edge78\" class=\"edge\"><title>74&#45;&gt;78</title>\r\n",
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       "<!-- 76 -->\r\n",
       "<g id=\"node77\" class=\"node\"><title>76</title>\r\n",
       "<path fill=\"#399de5\" stroke=\"black\" d=\"M2715,-536.5C2715,-536.5 2634,-536.5 2634,-536.5 2628,-536.5 2622,-530.5 2622,-524.5 2622,-524.5 2622,-480.5 2622,-480.5 2622,-474.5 2628,-468.5 2634,-468.5 2634,-468.5 2715,-468.5 2715,-468.5 2721,-468.5 2727,-474.5 2727,-480.5 2727,-480.5 2727,-524.5 2727,-524.5 2727,-530.5 2721,-536.5 2715,-536.5\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"2674.5\" y=\"-521.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.0</text>\r\n",
       "<text text-anchor=\"middle\" x=\"2674.5\" y=\"-506.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 10</text>\r\n",
       "<text text-anchor=\"middle\" x=\"2674.5\" y=\"-491.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [0, 10]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"2674.5\" y=\"-476.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = &#160;</text>\r\n",
       "</g>\r\n",
       "<!-- 75&#45;&gt;76 -->\r\n",
       "<g id=\"edge76\" class=\"edge\"><title>75&#45;&gt;76</title>\r\n",
       "<path fill=\"none\" stroke=\"black\" d=\"M2705.19,-579.907C2700.81,-568.983 2696.05,-557.137 2691.62,-546.107\"/>\r\n",
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       "<!-- 77 -->\r\n",
       "<g id=\"node78\" class=\"node\"><title>77</title>\r\n",
       "<path fill=\"#e58139\" stroke=\"black\" d=\"M2830,-536.5C2830,-536.5 2757,-536.5 2757,-536.5 2751,-536.5 2745,-530.5 2745,-524.5 2745,-524.5 2745,-480.5 2745,-480.5 2745,-474.5 2751,-468.5 2757,-468.5 2757,-468.5 2830,-468.5 2830,-468.5 2836,-468.5 2842,-474.5 2842,-480.5 2842,-480.5 2842,-524.5 2842,-524.5 2842,-530.5 2836,-536.5 2830,-536.5\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"2793.5\" y=\"-521.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.0</text>\r\n",
       "<text text-anchor=\"middle\" x=\"2793.5\" y=\"-506.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 1</text>\r\n",
       "<text text-anchor=\"middle\" x=\"2793.5\" y=\"-491.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [1, 0]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"2793.5\" y=\"-476.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = 0</text>\r\n",
       "</g>\r\n",
       "<!-- 75&#45;&gt;77 -->\r\n",
       "<g id=\"edge77\" class=\"edge\"><title>75&#45;&gt;77</title>\r\n",
       "<path fill=\"none\" stroke=\"black\" d=\"M2746.48,-579.907C2753.34,-568.763 2760.79,-556.658 2767.69,-545.439\"/>\r\n",
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       "<!-- 79 -->\r\n",
       "<g id=\"node80\" class=\"node\"><title>79</title>\r\n",
       "<path fill=\"#e58139\" stroke=\"black\" d=\"M2945,-536.5C2945,-536.5 2872,-536.5 2872,-536.5 2866,-536.5 2860,-530.5 2860,-524.5 2860,-524.5 2860,-480.5 2860,-480.5 2860,-474.5 2866,-468.5 2872,-468.5 2872,-468.5 2945,-468.5 2945,-468.5 2951,-468.5 2957,-474.5 2957,-480.5 2957,-480.5 2957,-524.5 2957,-524.5 2957,-530.5 2951,-536.5 2945,-536.5\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"2908.5\" y=\"-521.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.0</text>\r\n",
       "<text text-anchor=\"middle\" x=\"2908.5\" y=\"-506.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 3</text>\r\n",
       "<text text-anchor=\"middle\" x=\"2908.5\" y=\"-491.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [3, 0]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"2908.5\" y=\"-476.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = 0</text>\r\n",
       "</g>\r\n",
       "<!-- 78&#45;&gt;79 -->\r\n",
       "<g id=\"edge79\" class=\"edge\"><title>78&#45;&gt;79</title>\r\n",
       "<path fill=\"none\" stroke=\"black\" d=\"M2908.5,-579.907C2908.5,-569.204 2908.5,-557.615 2908.5,-546.776\"/>\r\n",
       "<polygon fill=\"black\" stroke=\"black\" points=\"2912,-546.667 2908.5,-536.667 2905,-546.667 2912,-546.667\"/>\r\n",
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       "<!-- 80 -->\r\n",
       "<g id=\"node81\" class=\"node\"><title>80</title>\r\n",
       "<path fill=\"#6ab6ec\" stroke=\"black\" d=\"M3062,-544C3062,-544 2987,-544 2987,-544 2981,-544 2975,-538 2975,-532 2975,-532 2975,-473 2975,-473 2975,-467 2981,-461 2987,-461 2987,-461 3062,-461 3062,-461 3068,-461 3074,-467 3074,-473 3074,-473 3074,-532 3074,-532 3074,-538 3068,-544 3062,-544\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"3024.5\" y=\"-528.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">thal &lt;= 0.305</text>\r\n",
       "<text text-anchor=\"middle\" x=\"3024.5\" y=\"-513.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.32</text>\r\n",
       "<text text-anchor=\"middle\" x=\"3024.5\" y=\"-498.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 5</text>\r\n",
       "<text text-anchor=\"middle\" x=\"3024.5\" y=\"-483.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [1, 4]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"3024.5\" y=\"-468.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = &#160;</text>\r\n",
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       "<!-- 78&#45;&gt;80 -->\r\n",
       "<g id=\"edge80\" class=\"edge\"><title>78&#45;&gt;80</title>\r\n",
       "<path fill=\"none\" stroke=\"black\" d=\"M2948.75,-579.907C2957.92,-570.651 2967.76,-560.732 2977.2,-551.209\"/>\r\n",
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       "<!-- 81 -->\r\n",
       "<g id=\"node82\" class=\"node\"><title>81</title>\r\n",
       "<path fill=\"#399de5\" stroke=\"black\" d=\"M3003,-417.5C3003,-417.5 2930,-417.5 2930,-417.5 2924,-417.5 2918,-411.5 2918,-405.5 2918,-405.5 2918,-361.5 2918,-361.5 2918,-355.5 2924,-349.5 2930,-349.5 2930,-349.5 3003,-349.5 3003,-349.5 3009,-349.5 3015,-355.5 3015,-361.5 3015,-361.5 3015,-405.5 3015,-405.5 3015,-411.5 3009,-417.5 3003,-417.5\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"2966.5\" y=\"-402.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.0</text>\r\n",
       "<text text-anchor=\"middle\" x=\"2966.5\" y=\"-387.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 4</text>\r\n",
       "<text text-anchor=\"middle\" x=\"2966.5\" y=\"-372.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [0, 4]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"2966.5\" y=\"-357.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = &#160;</text>\r\n",
       "</g>\r\n",
       "<!-- 80&#45;&gt;81 -->\r\n",
       "<g id=\"edge81\" class=\"edge\"><title>80&#45;&gt;81</title>\r\n",
       "<path fill=\"none\" stroke=\"black\" d=\"M3004.38,-460.907C2998.91,-449.873 2992.97,-437.898 2987.46,-426.773\"/>\r\n",
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       "<!-- 82 -->\r\n",
       "<g id=\"node83\" class=\"node\"><title>82</title>\r\n",
       "<path fill=\"#e58139\" stroke=\"black\" d=\"M3118,-417.5C3118,-417.5 3045,-417.5 3045,-417.5 3039,-417.5 3033,-411.5 3033,-405.5 3033,-405.5 3033,-361.5 3033,-361.5 3033,-355.5 3039,-349.5 3045,-349.5 3045,-349.5 3118,-349.5 3118,-349.5 3124,-349.5 3130,-355.5 3130,-361.5 3130,-361.5 3130,-405.5 3130,-405.5 3130,-411.5 3124,-417.5 3118,-417.5\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"3081.5\" y=\"-402.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">gini = 0.0</text>\r\n",
       "<text text-anchor=\"middle\" x=\"3081.5\" y=\"-387.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 1</text>\r\n",
       "<text text-anchor=\"middle\" x=\"3081.5\" y=\"-372.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [1, 0]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"3081.5\" y=\"-357.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = 0</text>\r\n",
       "</g>\r\n",
       "<!-- 80&#45;&gt;82 -->\r\n",
       "<g id=\"edge82\" class=\"edge\"><title>80&#45;&gt;82</title>\r\n",
       "<path fill=\"none\" stroke=\"black\" d=\"M3044.28,-460.907C3049.65,-449.873 3055.49,-437.898 3060.91,-426.773\"/>\r\n",
       "<polygon fill=\"black\" stroke=\"black\" points=\"3064.11,-428.19 3065.34,-417.667 3057.82,-425.124 3064.11,-428.19\"/>\r\n",
       "</g>\r\n",
       "</g>\r\n",
       "</svg>\r\n"
      ],
      "text/plain": [
       "<graphviz.files.Source at 0x179516cde20>"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "export_graphviz(\n",
    "        model_tree,\n",
    "        out_file=os.path.join(IMAGES_PATH, \"heartattack_decision_tree.dot\"),\n",
    "        feature_names=X.columns,\n",
    "        class_names=str(y),\n",
    "        rounded=True,\n",
    "        filled=True\n",
    "    )\n",
    "\n",
    "Source.from_file(os.path.join(IMAGES_PATH, \"heartattack_decision_tree.dot\"))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "18d710bf",
   "metadata": {},
   "source": [
    "### Random Forest"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "db5e9e4c",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Wall time: 153 ms\n",
      "TRAINING RESULTS: \n",
      "===============================\n",
      "CONFUSION MATRIX:\n",
      "[[ 96   0]\n",
      " [  0 115]]\n",
      "ACCURACY SCORE:\n",
      "1.0000\n",
      "F1 SCORE:\n",
      "1.0\n",
      "CLASSIFICATION REPORT:\n",
      "              0      1  accuracy  macro avg  weighted avg\n",
      "precision   1.0    1.0       1.0        1.0           1.0\n",
      "recall      1.0    1.0       1.0        1.0           1.0\n",
      "f1-score    1.0    1.0       1.0        1.0           1.0\n",
      "support    96.0  115.0       1.0      211.0         211.0\n",
      "\n",
      "TESTING RESULTS: \n",
      "===============================\n",
      "CONFUSION MATRIX:\n",
      "[[35  7]\n",
      " [ 8 41]]\n",
      "ACCURACY SCORE:\n",
      "0.8352\n",
      "F1 SCORE:\n",
      "0.845360824742268\n",
      "CLASSIFICATION REPORT:\n",
      "                   0          1  accuracy  macro avg  weighted avg\n",
      "precision   0.813953   0.854167  0.835165   0.834060      0.835607\n",
      "recall      0.833333   0.836735  0.835165   0.835034      0.835165\n",
      "f1-score    0.823529   0.845361  0.835165   0.834445      0.835285\n",
      "support    42.000000  49.000000  0.835165  91.000000     91.000000\n",
      "Wall time: 43 ms\n"
     ]
    }
   ],
   "source": [
    "model_rf = RandomForestClassifier(random_state=42)\n",
    "%time model_rf.fit(X_train_trf, y_train)\n",
    "\n",
    "%time evaluate(model_rf, X_train_trf, y_train, X_test_trf, y_test)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0bec3d2c",
   "metadata": {},
   "source": [
    "### ROC Curve (Default params)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "4b21e13f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x179515d9430>"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# ROC Curve best setting\n",
    "plt.figure(figsize=(8, 6))                                    \n",
    "plt.axis([0, 1, 0, 1])                                    \n",
    "plt.xlabel('False Positive Rate (Fall-Out)', fontsize=16) \n",
    "plt.ylabel('True Positive Rate (Recall)', fontsize=16)    \n",
    "plt.grid(True)                                            \n",
    "plt.plot([0, 1], [0, 1], 'k--') # dashed diagonal\n",
    "\n",
    "labels=['DecTree_def', 'RF_def']\n",
    "for idx,model in enumerate([model_tree , model_rf]):\n",
    "    y_scores = model.predict(X_test_trf)\n",
    "    fpr, tpr, thresholds = roc_curve(y_test, y_scores)\n",
    "    roc_auc = auc(fpr, tpr)\n",
    "    plt.plot(fpr, tpr, linewidth=2, label=labels[idx] + ' ROC curve (area = %0.2f)' % roc_auc)\n",
    "plt.legend(loc=\"lower right\",prop={'size': 10})"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c209bdd1",
   "metadata": {},
   "source": [
    "# Define Model, Training and Evaluation (Best params with Grid Search)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "edc1d703",
   "metadata": {},
   "source": [
    "## Decision Tree"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "58369045",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Fitting 3 folds for each of 4 candidates, totalling 12 fits\n",
      "Best parameters: {'criterion': 'entropy', 'min_samples_leaf': 2}\n",
      "Elapsed prediction time:  3327.09  ms\n",
      "TRAINING RESULTS: \n",
      "===============================\n",
      "CONFUSION MATRIX:\n",
      "[[ 95   1]\n",
      " [  9 106]]\n",
      "ACCURACY SCORE:\n",
      "0.9526\n",
      "F1 SCORE:\n",
      "0.954954954954955\n",
      "CLASSIFICATION REPORT:\n",
      "                   0           1  accuracy   macro avg  weighted avg\n",
      "precision   0.913462    0.990654  0.952607    0.952058      0.955533\n",
      "recall      0.989583    0.921739  0.952607    0.955661      0.952607\n",
      "f1-score    0.950000    0.954955  0.952607    0.952477      0.952701\n",
      "support    96.000000  115.000000  0.952607  211.000000    211.000000\n",
      "\n",
      "TESTING RESULTS: \n",
      "===============================\n",
      "CONFUSION MATRIX:\n",
      "[[36  6]\n",
      " [16 33]]\n",
      "ACCURACY SCORE:\n",
      "0.7582\n",
      "F1 SCORE:\n",
      "0.75\n",
      "CLASSIFICATION REPORT:\n",
      "                   0          1  accuracy  macro avg  weighted avg\n",
      "precision   0.692308   0.846154  0.758242   0.769231      0.775148\n",
      "recall      0.857143   0.673469  0.758242   0.765306      0.758242\n",
      "f1-score    0.765957   0.750000  0.758242   0.757979      0.757365\n",
      "support    42.000000  49.000000  0.758242  91.000000     91.000000\n"
     ]
    }
   ],
   "source": [
    "tstart = time.time() #for calculating processing time\n",
    "\n",
    "criterion = ['gini', 'entropy']\n",
    "min_samples_leaf = [1, 2]\n",
    "\n",
    "params_grid = {'criterion': criterion, 'min_samples_leaf': min_samples_leaf}\n",
    "\n",
    "# train model with default setting\n",
    "model_tree = DecisionTreeClassifier(random_state=42)\n",
    "model_tree_gridCV = GridSearchCV(model_tree, params_grid, scoring=\"f1\", cv=3, verbose=2, n_jobs=-1)\n",
    "\n",
    "\n",
    "model_tree_gridCV.fit(X_train_trf, y_train)\n",
    "best_params = model_tree_gridCV.best_params_\n",
    "print(f\"Best parameters: {best_params}\")\n",
    "tfinish = time.time()\n",
    "\n",
    "time_elapsed = round((tfinish - tstart)*1000, 2)\n",
    "print('Elapsed prediction time: ',time_elapsed,' ms')\n",
    "\n",
    "# train model with best parameters setting\n",
    "model_tree_best = DecisionTreeClassifier(**best_params)\n",
    "model_tree_best.fit(X_train_trf, y_train)\n",
    "\n",
    "evaluate(model_tree_best, X_train_trf, y_train, X_test_trf, y_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "9017ba42",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Tree picture with best params\n",
    "\n",
    "# Where to save the figures\n",
    "PROJECT_ROOT_DIR = \".\"\n",
    "CHAPTER_ID = \"heartattack_decision_tree_best\"\n",
    "IMAGES_PATH = os.path.join(PROJECT_ROOT_DIR, \"images\", CHAPTER_ID)\n",
    "os.makedirs(IMAGES_PATH, exist_ok=True)\n",
    "\n",
    "def save_fig(fig_id, tight_layout=True, fig_extension=\"png\", resolution=300):\n",
    "    path = os.path.join(IMAGES_PATH, fig_id + \".\" + fig_extension)\n",
    "    print(\"Saving figure\", fig_id)\n",
    "    if tight_layout:\n",
    "        plt.tight_layout()\n",
    "    plt.savefig(path, format=fig_extension, dpi=resolution)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "c0e921fd",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/svg+xml": [
       "<?xml version=\"1.0\" encoding=\"UTF-8\" standalone=\"no\"?>\r\n",
       "<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\r\n",
       " \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\r\n",
       "<!-- Generated by graphviz version 2.38.0 (20140413.2041)\r\n",
       " -->\r\n",
       "<!-- Title: Tree Pages: 1 -->\r\n",
       "<svg width=\"2084pt\" height=\"1028pt\"\r\n",
       " viewBox=\"0.00 0.00 2083.50 1028.00\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\r\n",
       "<g id=\"graph0\" class=\"graph\" transform=\"scale(1 1) rotate(0) translate(4 1024)\">\r\n",
       "<title>Tree</title>\r\n",
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       "<text text-anchor=\"middle\" x=\"1031.5\" y=\"-974.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 211</text>\r\n",
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       "<!-- 0&#45;&gt;1 -->\r\n",
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       "<g id=\"node3\" class=\"node\"><title>2</title>\r\n",
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       "<text text-anchor=\"middle\" x=\"553.5\" y=\"-766.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">thal &lt;= 0.305</text>\r\n",
       "<text text-anchor=\"middle\" x=\"553.5\" y=\"-751.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">entropy = 1.0</text>\r\n",
       "<text text-anchor=\"middle\" x=\"553.5\" y=\"-736.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 48</text>\r\n",
       "<text text-anchor=\"middle\" x=\"553.5\" y=\"-721.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [24, 24]</text>\r\n",
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       "<!-- 1&#45;&gt;2 -->\r\n",
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       "<g id=\"node22\" class=\"node\"><title>21</title>\r\n",
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       "<text text-anchor=\"middle\" x=\"932.5\" y=\"-766.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">restecg &lt;= &#45;0.04</text>\r\n",
       "<text text-anchor=\"middle\" x=\"932.5\" y=\"-751.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">entropy = 0.25</text>\r\n",
       "<text text-anchor=\"middle\" x=\"932.5\" y=\"-736.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 48</text>\r\n",
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       "<g id=\"node4\" class=\"node\"><title>3</title>\r\n",
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       "<text text-anchor=\"middle\" x=\"332.5\" y=\"-647.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">exang &lt;= 0.44</text>\r\n",
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       "<g id=\"node15\" class=\"node\"><title>14</title>\r\n",
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       "<text text-anchor=\"middle\" x=\"553.5\" y=\"-647.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">age &lt;= &#45;0.253</text>\r\n",
       "<text text-anchor=\"middle\" x=\"553.5\" y=\"-632.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">entropy = 0.702</text>\r\n",
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       "<text text-anchor=\"middle\" x=\"553.5\" y=\"-587.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = 0</text>\r\n",
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       "<!-- 2&#45;&gt;14 -->\r\n",
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       "<text text-anchor=\"middle\" x=\"173.5\" y=\"-528.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">chol &lt;= 1.295</text>\r\n",
       "<text text-anchor=\"middle\" x=\"173.5\" y=\"-513.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">entropy = 0.323</text>\r\n",
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       "<!-- 3&#45;&gt;4 -->\r\n",
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       "<text text-anchor=\"middle\" x=\"332.5\" y=\"-528.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">slope &lt;= 0.134</text>\r\n",
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       "<path fill=\"#399de5\" stroke=\"black\" d=\"M463.5,-417.5C463.5,-417.5 387.5,-417.5 387.5,-417.5 381.5,-417.5 375.5,-411.5 375.5,-405.5 375.5,-405.5 375.5,-361.5 375.5,-361.5 375.5,-355.5 381.5,-349.5 387.5,-349.5 387.5,-349.5 463.5,-349.5 463.5,-349.5 469.5,-349.5 475.5,-355.5 475.5,-361.5 475.5,-361.5 475.5,-405.5 475.5,-405.5 475.5,-411.5 469.5,-417.5 463.5,-417.5\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"425.5\" y=\"-402.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">entropy = 0.0</text>\r\n",
       "<text text-anchor=\"middle\" x=\"425.5\" y=\"-387.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 2</text>\r\n",
       "<text text-anchor=\"middle\" x=\"425.5\" y=\"-372.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [0, 2]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"425.5\" y=\"-357.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = &#160;</text>\r\n",
       "</g>\r\n",
       "<!-- 7&#45;&gt;13 -->\r\n",
       "<g id=\"edge13\" class=\"edge\"><title>7&#45;&gt;13</title>\r\n",
       "<path fill=\"none\" stroke=\"black\" d=\"M364.766,-460.907C373.8,-449.542 383.627,-437.178 392.693,-425.774\"/>\r\n",
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       "</g>\r\n",
       "<!-- 9 -->\r\n",
       "<g id=\"node10\" class=\"node\"><title>9</title>\r\n",
       "<path fill=\"#ffffff\" stroke=\"black\" d=\"M280.5,-306C280.5,-306 196.5,-306 196.5,-306 190.5,-306 184.5,-300 184.5,-294 184.5,-294 184.5,-235 184.5,-235 184.5,-229 190.5,-223 196.5,-223 196.5,-223 280.5,-223 280.5,-223 286.5,-223 292.5,-229 292.5,-235 292.5,-235 292.5,-294 292.5,-294 292.5,-300 286.5,-306 280.5,-306\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"238.5\" y=\"-290.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">chol &lt;= &#45;0.861</text>\r\n",
       "<text text-anchor=\"middle\" x=\"238.5\" y=\"-275.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">entropy = 1.0</text>\r\n",
       "<text text-anchor=\"middle\" x=\"238.5\" y=\"-260.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 4</text>\r\n",
       "<text text-anchor=\"middle\" x=\"238.5\" y=\"-245.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [2, 2]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"238.5\" y=\"-230.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = 0</text>\r\n",
       "</g>\r\n",
       "<!-- 8&#45;&gt;9 -->\r\n",
       "<g id=\"edge9\" class=\"edge\"><title>8&#45;&gt;9</title>\r\n",
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       "<polygon fill=\"black\" stroke=\"black\" points=\"267.353,-313.27 259.626,-306.021 261.146,-316.506 267.353,-313.27\"/>\r\n",
       "</g>\r\n",
       "<!-- 12 -->\r\n",
       "<g id=\"node13\" class=\"node\"><title>12</title>\r\n",
       "<path fill=\"#e58139\" stroke=\"black\" d=\"M398.5,-298.5C398.5,-298.5 322.5,-298.5 322.5,-298.5 316.5,-298.5 310.5,-292.5 310.5,-286.5 310.5,-286.5 310.5,-242.5 310.5,-242.5 310.5,-236.5 316.5,-230.5 322.5,-230.5 322.5,-230.5 398.5,-230.5 398.5,-230.5 404.5,-230.5 410.5,-236.5 410.5,-242.5 410.5,-242.5 410.5,-286.5 410.5,-286.5 410.5,-292.5 404.5,-298.5 398.5,-298.5\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"360.5\" y=\"-283.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">entropy = 0.0</text>\r\n",
       "<text text-anchor=\"middle\" x=\"360.5\" y=\"-268.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 4</text>\r\n",
       "<text text-anchor=\"middle\" x=\"360.5\" y=\"-253.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [4, 0]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"360.5\" y=\"-238.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = 0</text>\r\n",
       "</g>\r\n",
       "<!-- 8&#45;&gt;12 -->\r\n",
       "<g id=\"edge12\" class=\"edge\"><title>8&#45;&gt;12</title>\r\n",
       "<path fill=\"none\" stroke=\"black\" d=\"M320.664,-341.907C326.417,-330.873 332.66,-318.898 338.46,-307.773\"/>\r\n",
       "<polygon fill=\"black\" stroke=\"black\" points=\"341.688,-309.152 343.208,-298.667 335.481,-305.916 341.688,-309.152\"/>\r\n",
       "</g>\r\n",
       "<!-- 10 -->\r\n",
       "<g id=\"node11\" class=\"node\"><title>10</title>\r\n",
       "<path fill=\"#e58139\" stroke=\"black\" d=\"M217.5,-179.5C217.5,-179.5 141.5,-179.5 141.5,-179.5 135.5,-179.5 129.5,-173.5 129.5,-167.5 129.5,-167.5 129.5,-123.5 129.5,-123.5 129.5,-117.5 135.5,-111.5 141.5,-111.5 141.5,-111.5 217.5,-111.5 217.5,-111.5 223.5,-111.5 229.5,-117.5 229.5,-123.5 229.5,-123.5 229.5,-167.5 229.5,-167.5 229.5,-173.5 223.5,-179.5 217.5,-179.5\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"179.5\" y=\"-164.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">entropy = 0.0</text>\r\n",
       "<text text-anchor=\"middle\" x=\"179.5\" y=\"-149.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 2</text>\r\n",
       "<text text-anchor=\"middle\" x=\"179.5\" y=\"-134.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [2, 0]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"179.5\" y=\"-119.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = 0</text>\r\n",
       "</g>\r\n",
       "<!-- 9&#45;&gt;10 -->\r\n",
       "<g id=\"edge10\" class=\"edge\"><title>9&#45;&gt;10</title>\r\n",
       "<path fill=\"none\" stroke=\"black\" d=\"M218.03,-222.907C212.466,-211.873 206.427,-199.898 200.817,-188.773\"/>\r\n",
       "<polygon fill=\"black\" stroke=\"black\" points=\"203.853,-187.02 196.225,-179.667 197.603,-190.172 203.853,-187.02\"/>\r\n",
       "</g>\r\n",
       "<!-- 11 -->\r\n",
       "<g id=\"node12\" class=\"node\"><title>11</title>\r\n",
       "<path fill=\"#399de5\" stroke=\"black\" d=\"M335.5,-179.5C335.5,-179.5 259.5,-179.5 259.5,-179.5 253.5,-179.5 247.5,-173.5 247.5,-167.5 247.5,-167.5 247.5,-123.5 247.5,-123.5 247.5,-117.5 253.5,-111.5 259.5,-111.5 259.5,-111.5 335.5,-111.5 335.5,-111.5 341.5,-111.5 347.5,-117.5 347.5,-123.5 347.5,-123.5 347.5,-167.5 347.5,-167.5 347.5,-173.5 341.5,-179.5 335.5,-179.5\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"297.5\" y=\"-164.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">entropy = 0.0</text>\r\n",
       "<text text-anchor=\"middle\" x=\"297.5\" y=\"-149.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 2</text>\r\n",
       "<text text-anchor=\"middle\" x=\"297.5\" y=\"-134.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [0, 2]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"297.5\" y=\"-119.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = &#160;</text>\r\n",
       "</g>\r\n",
       "<!-- 9&#45;&gt;11 -->\r\n",
       "<g id=\"edge11\" class=\"edge\"><title>9&#45;&gt;11</title>\r\n",
       "<path fill=\"none\" stroke=\"black\" d=\"M258.97,-222.907C264.534,-211.873 270.573,-199.898 276.183,-188.773\"/>\r\n",
       "<polygon fill=\"black\" stroke=\"black\" points=\"279.397,-190.172 280.775,-179.667 273.147,-187.02 279.397,-190.172\"/>\r\n",
       "</g>\r\n",
       "<!-- 15 -->\r\n",
       "<g id=\"node16\" class=\"node\"><title>15</title>\r\n",
       "<path fill=\"#e58139\" stroke=\"black\" d=\"M526,-536.5C526,-536.5 445,-536.5 445,-536.5 439,-536.5 433,-530.5 433,-524.5 433,-524.5 433,-480.5 433,-480.5 433,-474.5 439,-468.5 445,-468.5 445,-468.5 526,-468.5 526,-468.5 532,-468.5 538,-474.5 538,-480.5 538,-480.5 538,-524.5 538,-524.5 538,-530.5 532,-536.5 526,-536.5\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"485.5\" y=\"-521.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">entropy = 0.0</text>\r\n",
       "<text text-anchor=\"middle\" x=\"485.5\" y=\"-506.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 11</text>\r\n",
       "<text text-anchor=\"middle\" x=\"485.5\" y=\"-491.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [11, 0]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"485.5\" y=\"-476.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = 0</text>\r\n",
       "</g>\r\n",
       "<!-- 14&#45;&gt;15 -->\r\n",
       "<g id=\"edge15\" class=\"edge\"><title>14&#45;&gt;15</title>\r\n",
       "<path fill=\"none\" stroke=\"black\" d=\"M529.908,-579.907C523.43,-568.763 516.395,-556.658 509.875,-545.439\"/>\r\n",
       "<polygon fill=\"black\" stroke=\"black\" points=\"512.828,-543.554 504.777,-536.667 506.775,-547.072 512.828,-543.554\"/>\r\n",
       "</g>\r\n",
       "<!-- 16 -->\r\n",
       "<g id=\"node17\" class=\"node\"><title>16</title>\r\n",
       "<path fill=\"#f6d5bd\" stroke=\"black\" d=\"M673,-544C673,-544 568,-544 568,-544 562,-544 556,-538 556,-532 556,-532 556,-473 556,-473 556,-467 562,-461 568,-461 568,-461 673,-461 673,-461 679,-461 685,-467 685,-473 685,-473 685,-532 685,-532 685,-538 679,-544 673,-544\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"620.5\" y=\"-528.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">trestbps &lt;= 0.337</text>\r\n",
       "<text text-anchor=\"middle\" x=\"620.5\" y=\"-513.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">entropy = 0.971</text>\r\n",
       "<text text-anchor=\"middle\" x=\"620.5\" y=\"-498.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 10</text>\r\n",
       "<text text-anchor=\"middle\" x=\"620.5\" y=\"-483.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [6, 4]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"620.5\" y=\"-468.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = 0</text>\r\n",
       "</g>\r\n",
       "<!-- 14&#45;&gt;16 -->\r\n",
       "<g id=\"edge16\" class=\"edge\"><title>14&#45;&gt;16</title>\r\n",
       "<path fill=\"none\" stroke=\"black\" d=\"M576.745,-579.907C581.734,-571.195 587.059,-561.897 592.215,-552.893\"/>\r\n",
       "<polygon fill=\"black\" stroke=\"black\" points=\"595.364,-554.438 597.296,-544.021 589.289,-550.959 595.364,-554.438\"/>\r\n",
       "</g>\r\n",
       "<!-- 17 -->\r\n",
       "<g id=\"node18\" class=\"node\"><title>17</title>\r\n",
       "<path fill=\"#399de5\" stroke=\"black\" d=\"M581.5,-417.5C581.5,-417.5 505.5,-417.5 505.5,-417.5 499.5,-417.5 493.5,-411.5 493.5,-405.5 493.5,-405.5 493.5,-361.5 493.5,-361.5 493.5,-355.5 499.5,-349.5 505.5,-349.5 505.5,-349.5 581.5,-349.5 581.5,-349.5 587.5,-349.5 593.5,-355.5 593.5,-361.5 593.5,-361.5 593.5,-405.5 593.5,-405.5 593.5,-411.5 587.5,-417.5 581.5,-417.5\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"543.5\" y=\"-402.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">entropy = 0.0</text>\r\n",
       "<text text-anchor=\"middle\" x=\"543.5\" y=\"-387.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 3</text>\r\n",
       "<text text-anchor=\"middle\" x=\"543.5\" y=\"-372.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [0, 3]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"543.5\" y=\"-357.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = &#160;</text>\r\n",
       "</g>\r\n",
       "<!-- 16&#45;&gt;17 -->\r\n",
       "<g id=\"edge17\" class=\"edge\"><title>16&#45;&gt;17</title>\r\n",
       "<path fill=\"none\" stroke=\"black\" d=\"M593.785,-460.907C586.378,-449.652 578.327,-437.418 570.882,-426.106\"/>\r\n",
       "<polygon fill=\"black\" stroke=\"black\" points=\"573.749,-424.096 565.328,-417.667 567.902,-427.944 573.749,-424.096\"/>\r\n",
       "</g>\r\n",
       "<!-- 18 -->\r\n",
       "<g id=\"node19\" class=\"node\"><title>18</title>\r\n",
       "<path fill=\"#e9965a\" stroke=\"black\" d=\"M715.5,-425C715.5,-425 623.5,-425 623.5,-425 617.5,-425 611.5,-419 611.5,-413 611.5,-413 611.5,-354 611.5,-354 611.5,-348 617.5,-342 623.5,-342 623.5,-342 715.5,-342 715.5,-342 721.5,-342 727.5,-348 727.5,-354 727.5,-354 727.5,-413 727.5,-413 727.5,-419 721.5,-425 715.5,-425\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"669.5\" y=\"-409.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">age &lt;= 0.19</text>\r\n",
       "<text text-anchor=\"middle\" x=\"669.5\" y=\"-394.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">entropy = 0.592</text>\r\n",
       "<text text-anchor=\"middle\" x=\"669.5\" y=\"-379.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 7</text>\r\n",
       "<text text-anchor=\"middle\" x=\"669.5\" y=\"-364.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [6, 1]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"669.5\" y=\"-349.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = 0</text>\r\n",
       "</g>\r\n",
       "<!-- 16&#45;&gt;18 -->\r\n",
       "<g id=\"edge18\" class=\"edge\"><title>16&#45;&gt;18</title>\r\n",
       "<path fill=\"none\" stroke=\"black\" d=\"M637.5,-460.907C641.073,-452.377 644.881,-443.284 648.578,-434.456\"/>\r\n",
       "<polygon fill=\"black\" stroke=\"black\" points=\"651.895,-435.597 652.53,-425.021 645.438,-432.893 651.895,-435.597\"/>\r\n",
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       "<!-- 19 -->\r\n",
       "<g id=\"node20\" class=\"node\"><title>19</title>\r\n",
       "<path fill=\"#ffffff\" stroke=\"black\" d=\"M589.5,-298.5C589.5,-298.5 513.5,-298.5 513.5,-298.5 507.5,-298.5 501.5,-292.5 501.5,-286.5 501.5,-286.5 501.5,-242.5 501.5,-242.5 501.5,-236.5 507.5,-230.5 513.5,-230.5 513.5,-230.5 589.5,-230.5 589.5,-230.5 595.5,-230.5 601.5,-236.5 601.5,-242.5 601.5,-242.5 601.5,-286.5 601.5,-286.5 601.5,-292.5 595.5,-298.5 589.5,-298.5\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"551.5\" y=\"-283.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">entropy = 1.0</text>\r\n",
       "<text text-anchor=\"middle\" x=\"551.5\" y=\"-268.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 2</text>\r\n",
       "<text text-anchor=\"middle\" x=\"551.5\" y=\"-253.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [1, 1]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"551.5\" y=\"-238.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = 0</text>\r\n",
       "</g>\r\n",
       "<!-- 18&#45;&gt;19 -->\r\n",
       "<g id=\"edge19\" class=\"edge\"><title>18&#45;&gt;19</title>\r\n",
       "<path fill=\"none\" stroke=\"black\" d=\"M628.56,-341.907C616.764,-330.211 603.901,-317.457 592.124,-305.78\"/>\r\n",
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       "<!-- 20 -->\r\n",
       "<g id=\"node21\" class=\"node\"><title>20</title>\r\n",
       "<path fill=\"#e58139\" stroke=\"black\" d=\"M707.5,-298.5C707.5,-298.5 631.5,-298.5 631.5,-298.5 625.5,-298.5 619.5,-292.5 619.5,-286.5 619.5,-286.5 619.5,-242.5 619.5,-242.5 619.5,-236.5 625.5,-230.5 631.5,-230.5 631.5,-230.5 707.5,-230.5 707.5,-230.5 713.5,-230.5 719.5,-236.5 719.5,-242.5 719.5,-242.5 719.5,-286.5 719.5,-286.5 719.5,-292.5 713.5,-298.5 707.5,-298.5\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"669.5\" y=\"-283.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">entropy = 0.0</text>\r\n",
       "<text text-anchor=\"middle\" x=\"669.5\" y=\"-268.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 5</text>\r\n",
       "<text text-anchor=\"middle\" x=\"669.5\" y=\"-253.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [5, 0]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"669.5\" y=\"-238.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = 0</text>\r\n",
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       "<!-- 18&#45;&gt;20 -->\r\n",
       "<g id=\"edge20\" class=\"edge\"><title>18&#45;&gt;20</title>\r\n",
       "<path fill=\"none\" stroke=\"black\" d=\"M669.5,-341.907C669.5,-331.204 669.5,-319.615 669.5,-308.776\"/>\r\n",
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       "<!-- 22 -->\r\n",
       "<g id=\"node23\" class=\"node\"><title>22</title>\r\n",
       "<path fill=\"#e58139\" stroke=\"black\" d=\"M877,-655.5C877,-655.5 796,-655.5 796,-655.5 790,-655.5 784,-649.5 784,-643.5 784,-643.5 784,-599.5 784,-599.5 784,-593.5 790,-587.5 796,-587.5 796,-587.5 877,-587.5 877,-587.5 883,-587.5 889,-593.5 889,-599.5 889,-599.5 889,-643.5 889,-643.5 889,-649.5 883,-655.5 877,-655.5\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"836.5\" y=\"-640.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">entropy = 0.0</text>\r\n",
       "<text text-anchor=\"middle\" x=\"836.5\" y=\"-625.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 30</text>\r\n",
       "<text text-anchor=\"middle\" x=\"836.5\" y=\"-610.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [30, 0]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"836.5\" y=\"-595.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = 0</text>\r\n",
       "</g>\r\n",
       "<!-- 21&#45;&gt;22 -->\r\n",
       "<g id=\"edge22\" class=\"edge\"><title>21&#45;&gt;22</title>\r\n",
       "<path fill=\"none\" stroke=\"black\" d=\"M899.193,-698.907C889.777,-687.432 879.526,-674.938 870.093,-663.442\"/>\r\n",
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       "<!-- 23 -->\r\n",
       "<g id=\"node24\" class=\"node\"><title>23</title>\r\n",
       "<path fill=\"#e89152\" stroke=\"black\" d=\"M1011.5,-663C1011.5,-663 919.5,-663 919.5,-663 913.5,-663 907.5,-657 907.5,-651 907.5,-651 907.5,-592 907.5,-592 907.5,-586 913.5,-580 919.5,-580 919.5,-580 1011.5,-580 1011.5,-580 1017.5,-580 1023.5,-586 1023.5,-592 1023.5,-592 1023.5,-651 1023.5,-651 1023.5,-657 1017.5,-663 1011.5,-663\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"965.5\" y=\"-647.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">ca &lt;= 0.901</text>\r\n",
       "<text text-anchor=\"middle\" x=\"965.5\" y=\"-632.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">entropy = 0.503</text>\r\n",
       "<text text-anchor=\"middle\" x=\"965.5\" y=\"-617.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 18</text>\r\n",
       "<text text-anchor=\"middle\" x=\"965.5\" y=\"-602.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [16, 2]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"965.5\" y=\"-587.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = 0</text>\r\n",
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       "<!-- 21&#45;&gt;23 -->\r\n",
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       "<!-- 24 -->\r\n",
       "<g id=\"node25\" class=\"node\"><title>24</title>\r\n",
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       "<text text-anchor=\"middle\" x=\"869.5\" y=\"-521.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">entropy = 0.0</text>\r\n",
       "<text text-anchor=\"middle\" x=\"869.5\" y=\"-506.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 11</text>\r\n",
       "<text text-anchor=\"middle\" x=\"869.5\" y=\"-491.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [11, 0]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"869.5\" y=\"-476.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = 0</text>\r\n",
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       "<!-- 23&#45;&gt;24 -->\r\n",
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       "<g id=\"node26\" class=\"node\"><title>25</title>\r\n",
       "<path fill=\"#efb388\" stroke=\"black\" d=\"M1044.5,-544C1044.5,-544 952.5,-544 952.5,-544 946.5,-544 940.5,-538 940.5,-532 940.5,-532 940.5,-473 940.5,-473 940.5,-467 946.5,-461 952.5,-461 952.5,-461 1044.5,-461 1044.5,-461 1050.5,-461 1056.5,-467 1056.5,-473 1056.5,-473 1056.5,-532 1056.5,-532 1056.5,-538 1050.5,-544 1044.5,-544\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"998.5\" y=\"-528.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">thalach &lt;= 0.27</text>\r\n",
       "<text text-anchor=\"middle\" x=\"998.5\" y=\"-513.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">entropy = 0.863</text>\r\n",
       "<text text-anchor=\"middle\" x=\"998.5\" y=\"-498.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 7</text>\r\n",
       "<text text-anchor=\"middle\" x=\"998.5\" y=\"-483.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [5, 2]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"998.5\" y=\"-468.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = 0</text>\r\n",
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       "<!-- 23&#45;&gt;25 -->\r\n",
       "<g id=\"edge25\" class=\"edge\"><title>23&#45;&gt;25</title>\r\n",
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       "<!-- 26 -->\r\n",
       "<g id=\"node27\" class=\"node\"><title>26</title>\r\n",
       "<path fill=\"#ffffff\" stroke=\"black\" d=\"M924.5,-425C924.5,-425 814.5,-425 814.5,-425 808.5,-425 802.5,-419 802.5,-413 802.5,-413 802.5,-354 802.5,-354 802.5,-348 808.5,-342 814.5,-342 814.5,-342 924.5,-342 924.5,-342 930.5,-342 936.5,-348 936.5,-354 936.5,-354 936.5,-413 936.5,-413 936.5,-419 930.5,-425 924.5,-425\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"869.5\" y=\"-409.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">trestbps &lt;= &#45;0.736</text>\r\n",
       "<text text-anchor=\"middle\" x=\"869.5\" y=\"-394.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">entropy = 1.0</text>\r\n",
       "<text text-anchor=\"middle\" x=\"869.5\" y=\"-379.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 4</text>\r\n",
       "<text text-anchor=\"middle\" x=\"869.5\" y=\"-364.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [2, 2]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"869.5\" y=\"-349.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = 0</text>\r\n",
       "</g>\r\n",
       "<!-- 25&#45;&gt;26 -->\r\n",
       "<g id=\"edge26\" class=\"edge\"><title>25&#45;&gt;26</title>\r\n",
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       "<g id=\"node30\" class=\"node\"><title>29</title>\r\n",
       "<path fill=\"#e58139\" stroke=\"black\" d=\"M1042.5,-417.5C1042.5,-417.5 966.5,-417.5 966.5,-417.5 960.5,-417.5 954.5,-411.5 954.5,-405.5 954.5,-405.5 954.5,-361.5 954.5,-361.5 954.5,-355.5 960.5,-349.5 966.5,-349.5 966.5,-349.5 1042.5,-349.5 1042.5,-349.5 1048.5,-349.5 1054.5,-355.5 1054.5,-361.5 1054.5,-361.5 1054.5,-405.5 1054.5,-405.5 1054.5,-411.5 1048.5,-417.5 1042.5,-417.5\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"1004.5\" y=\"-402.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">entropy = 0.0</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1004.5\" y=\"-387.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 3</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1004.5\" y=\"-372.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [3, 0]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1004.5\" y=\"-357.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = 0</text>\r\n",
       "</g>\r\n",
       "<!-- 25&#45;&gt;29 -->\r\n",
       "<g id=\"edge29\" class=\"edge\"><title>25&#45;&gt;29</title>\r\n",
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       "<!-- 27 -->\r\n",
       "<g id=\"node28\" class=\"node\"><title>27</title>\r\n",
       "<path fill=\"#ffffff\" stroke=\"black\" d=\"M825.5,-298.5C825.5,-298.5 749.5,-298.5 749.5,-298.5 743.5,-298.5 737.5,-292.5 737.5,-286.5 737.5,-286.5 737.5,-242.5 737.5,-242.5 737.5,-236.5 743.5,-230.5 749.5,-230.5 749.5,-230.5 825.5,-230.5 825.5,-230.5 831.5,-230.5 837.5,-236.5 837.5,-242.5 837.5,-242.5 837.5,-286.5 837.5,-286.5 837.5,-292.5 831.5,-298.5 825.5,-298.5\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"787.5\" y=\"-283.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">entropy = 1.0</text>\r\n",
       "<text text-anchor=\"middle\" x=\"787.5\" y=\"-268.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 2</text>\r\n",
       "<text text-anchor=\"middle\" x=\"787.5\" y=\"-253.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [1, 1]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"787.5\" y=\"-238.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = 0</text>\r\n",
       "</g>\r\n",
       "<!-- 26&#45;&gt;27 -->\r\n",
       "<g id=\"edge27\" class=\"edge\"><title>26&#45;&gt;27</title>\r\n",
       "<path fill=\"none\" stroke=\"black\" d=\"M841.051,-341.907C833.162,-330.652 824.588,-318.418 816.66,-307.106\"/>\r\n",
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       "<!-- 28 -->\r\n",
       "<g id=\"node29\" class=\"node\"><title>28</title>\r\n",
       "<path fill=\"#ffffff\" stroke=\"black\" d=\"M943.5,-298.5C943.5,-298.5 867.5,-298.5 867.5,-298.5 861.5,-298.5 855.5,-292.5 855.5,-286.5 855.5,-286.5 855.5,-242.5 855.5,-242.5 855.5,-236.5 861.5,-230.5 867.5,-230.5 867.5,-230.5 943.5,-230.5 943.5,-230.5 949.5,-230.5 955.5,-236.5 955.5,-242.5 955.5,-242.5 955.5,-286.5 955.5,-286.5 955.5,-292.5 949.5,-298.5 943.5,-298.5\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"905.5\" y=\"-283.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">entropy = 1.0</text>\r\n",
       "<text text-anchor=\"middle\" x=\"905.5\" y=\"-268.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 2</text>\r\n",
       "<text text-anchor=\"middle\" x=\"905.5\" y=\"-253.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [1, 1]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"905.5\" y=\"-238.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = 0</text>\r\n",
       "</g>\r\n",
       "<!-- 26&#45;&gt;28 -->\r\n",
       "<g id=\"edge28\" class=\"edge\"><title>26&#45;&gt;28</title>\r\n",
       "<path fill=\"none\" stroke=\"black\" d=\"M881.99,-341.907C885.317,-331.094 888.923,-319.376 892.287,-308.441\"/>\r\n",
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       "<!-- 31 -->\r\n",
       "<g id=\"node32\" class=\"node\"><title>31</title>\r\n",
       "<path fill=\"#52a9e8\" stroke=\"black\" d=\"M1177.5,-782C1177.5,-782 1085.5,-782 1085.5,-782 1079.5,-782 1073.5,-776 1073.5,-770 1073.5,-770 1073.5,-711 1073.5,-711 1073.5,-705 1079.5,-699 1085.5,-699 1085.5,-699 1177.5,-699 1177.5,-699 1183.5,-699 1189.5,-705 1189.5,-711 1189.5,-711 1189.5,-770 1189.5,-770 1189.5,-776 1183.5,-782 1177.5,-782\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"1131.5\" y=\"-766.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">sex &lt;= &#45;0.302</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1131.5\" y=\"-751.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">entropy = 0.503</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1131.5\" y=\"-736.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 81</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1131.5\" y=\"-721.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [9, 72]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1131.5\" y=\"-706.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = &#160;</text>\r\n",
       "</g>\r\n",
       "<!-- 30&#45;&gt;31 -->\r\n",
       "<g id=\"edge31\" class=\"edge\"><title>30&#45;&gt;31</title>\r\n",
       "<path fill=\"none\" stroke=\"black\" d=\"M1131.5,-817.907C1131.5,-809.649 1131.5,-800.864 1131.5,-792.302\"/>\r\n",
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       "<!-- 48 -->\r\n",
       "<g id=\"node49\" class=\"node\"><title>48</title>\r\n",
       "<path fill=\"#ffffff\" stroke=\"black\" d=\"M1467,-782C1467,-782 1378,-782 1378,-782 1372,-782 1366,-776 1366,-770 1366,-770 1366,-711 1366,-711 1366,-705 1372,-699 1378,-699 1378,-699 1467,-699 1467,-699 1473,-699 1479,-705 1479,-711 1479,-711 1479,-770 1479,-770 1479,-776 1473,-782 1467,-782\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"1422.5\" y=\"-766.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">slope &lt;= 0.134</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1422.5\" y=\"-751.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">entropy = 1.0</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1422.5\" y=\"-736.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 34</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1422.5\" y=\"-721.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [17, 17]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1422.5\" y=\"-706.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = 0</text>\r\n",
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       "<!-- 30&#45;&gt;48 -->\r\n",
       "<g id=\"edge48\" class=\"edge\"><title>30&#45;&gt;48</title>\r\n",
       "<path fill=\"none\" stroke=\"black\" d=\"M1189.69,-835.105C1237.84,-815.746 1306.23,-788.249 1356.43,-768.065\"/>\r\n",
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       "<g id=\"node33\" class=\"node\"><title>32</title>\r\n",
       "<path fill=\"#399de5\" stroke=\"black\" d=\"M1139,-655.5C1139,-655.5 1058,-655.5 1058,-655.5 1052,-655.5 1046,-649.5 1046,-643.5 1046,-643.5 1046,-599.5 1046,-599.5 1046,-593.5 1052,-587.5 1058,-587.5 1058,-587.5 1139,-587.5 1139,-587.5 1145,-587.5 1151,-593.5 1151,-599.5 1151,-599.5 1151,-643.5 1151,-643.5 1151,-649.5 1145,-655.5 1139,-655.5\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"1098.5\" y=\"-640.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">entropy = 0.0</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1098.5\" y=\"-625.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 34</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1098.5\" y=\"-610.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [0, 34]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1098.5\" y=\"-595.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = &#160;</text>\r\n",
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       "<!-- 31&#45;&gt;32 -->\r\n",
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       "<g id=\"node34\" class=\"node\"><title>33</title>\r\n",
       "<path fill=\"#68b4eb\" stroke=\"black\" d=\"M1279.5,-663C1279.5,-663 1181.5,-663 1181.5,-663 1175.5,-663 1169.5,-657 1169.5,-651 1169.5,-651 1169.5,-592 1169.5,-592 1169.5,-586 1175.5,-580 1181.5,-580 1181.5,-580 1279.5,-580 1279.5,-580 1285.5,-580 1291.5,-586 1291.5,-592 1291.5,-592 1291.5,-651 1291.5,-651 1291.5,-657 1285.5,-663 1279.5,-663\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"1230.5\" y=\"-647.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">thalach &lt;= 0.833</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1230.5\" y=\"-632.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">entropy = 0.705</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1230.5\" y=\"-617.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 47</text>\r\n",
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       "<path fill=\"#9ccef2\" stroke=\"black\" d=\"M1185.5,-544C1185.5,-544 1093.5,-544 1093.5,-544 1087.5,-544 1081.5,-538 1081.5,-532 1081.5,-532 1081.5,-473 1081.5,-473 1081.5,-467 1087.5,-461 1093.5,-461 1093.5,-461 1185.5,-461 1185.5,-461 1191.5,-461 1197.5,-467 1197.5,-473 1197.5,-473 1197.5,-532 1197.5,-532 1197.5,-538 1191.5,-544 1185.5,-544\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"1139.5\" y=\"-528.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">chol &lt;= 0.249</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1139.5\" y=\"-513.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">entropy = 0.918</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1139.5\" y=\"-498.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 27</text>\r\n",
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       "<!-- 47 -->\r\n",
       "<g id=\"node48\" class=\"node\"><title>47</title>\r\n",
       "<path fill=\"#399de5\" stroke=\"black\" d=\"M1309,-536.5C1309,-536.5 1228,-536.5 1228,-536.5 1222,-536.5 1216,-530.5 1216,-524.5 1216,-524.5 1216,-480.5 1216,-480.5 1216,-474.5 1222,-468.5 1228,-468.5 1228,-468.5 1309,-468.5 1309,-468.5 1315,-468.5 1321,-474.5 1321,-480.5 1321,-480.5 1321,-524.5 1321,-524.5 1321,-530.5 1315,-536.5 1309,-536.5\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"1268.5\" y=\"-521.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">entropy = 0.0</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1268.5\" y=\"-506.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 20</text>\r\n",
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       "</g>\r\n",
       "<!-- 33&#45;&gt;47 -->\r\n",
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       "<!-- 35 -->\r\n",
       "<g id=\"node36\" class=\"node\"><title>35</title>\r\n",
       "<path fill=\"#68b4eb\" stroke=\"black\" d=\"M1183.5,-425C1183.5,-425 1091.5,-425 1091.5,-425 1085.5,-425 1079.5,-419 1079.5,-413 1079.5,-413 1079.5,-354 1079.5,-354 1079.5,-348 1085.5,-342 1091.5,-342 1091.5,-342 1183.5,-342 1183.5,-342 1189.5,-342 1195.5,-348 1195.5,-354 1195.5,-354 1195.5,-413 1195.5,-413 1195.5,-419 1189.5,-425 1183.5,-425\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"1137.5\" y=\"-409.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">chol &lt;= &#45;0.632</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1137.5\" y=\"-394.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">entropy = 0.702</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1137.5\" y=\"-379.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 21</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1137.5\" y=\"-364.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [4, 17]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1137.5\" y=\"-349.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = &#160;</text>\r\n",
       "</g>\r\n",
       "<!-- 34&#45;&gt;35 -->\r\n",
       "<g id=\"edge35\" class=\"edge\"><title>34&#45;&gt;35</title>\r\n",
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       "<!-- 44 -->\r\n",
       "<g id=\"node45\" class=\"node\"><title>44</title>\r\n",
       "<path fill=\"#ea9a61\" stroke=\"black\" d=\"M1309.5,-425C1309.5,-425 1225.5,-425 1225.5,-425 1219.5,-425 1213.5,-419 1213.5,-413 1213.5,-413 1213.5,-354 1213.5,-354 1213.5,-348 1219.5,-342 1225.5,-342 1225.5,-342 1309.5,-342 1309.5,-342 1315.5,-342 1321.5,-348 1321.5,-354 1321.5,-354 1321.5,-413 1321.5,-413 1321.5,-419 1315.5,-425 1309.5,-425\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"1267.5\" y=\"-409.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">chol &lt;= 0.736</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1267.5\" y=\"-394.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">entropy = 0.65</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1267.5\" y=\"-379.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 6</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1267.5\" y=\"-364.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [5, 1]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1267.5\" y=\"-349.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = 0</text>\r\n",
       "</g>\r\n",
       "<!-- 34&#45;&gt;44 -->\r\n",
       "<g id=\"edge44\" class=\"edge\"><title>34&#45;&gt;44</title>\r\n",
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       "<!-- 36 -->\r\n",
       "<g id=\"node37\" class=\"node\"><title>36</title>\r\n",
       "<path fill=\"#399de5\" stroke=\"black\" d=\"M1061.5,-298.5C1061.5,-298.5 985.5,-298.5 985.5,-298.5 979.5,-298.5 973.5,-292.5 973.5,-286.5 973.5,-286.5 973.5,-242.5 973.5,-242.5 973.5,-236.5 979.5,-230.5 985.5,-230.5 985.5,-230.5 1061.5,-230.5 1061.5,-230.5 1067.5,-230.5 1073.5,-236.5 1073.5,-242.5 1073.5,-242.5 1073.5,-286.5 1073.5,-286.5 1073.5,-292.5 1067.5,-298.5 1061.5,-298.5\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"1023.5\" y=\"-283.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">entropy = 0.0</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1023.5\" y=\"-268.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 8</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1023.5\" y=\"-253.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [0, 8]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1023.5\" y=\"-238.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = &#160;</text>\r\n",
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       "<!-- 35&#45;&gt;36 -->\r\n",
       "<g id=\"edge36\" class=\"edge\"><title>35&#45;&gt;36</title>\r\n",
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       "<!-- 37 -->\r\n",
       "<g id=\"node38\" class=\"node\"><title>37</title>\r\n",
       "<path fill=\"#91c9f1\" stroke=\"black\" d=\"M1187.5,-306C1187.5,-306 1103.5,-306 1103.5,-306 1097.5,-306 1091.5,-300 1091.5,-294 1091.5,-294 1091.5,-235 1091.5,-235 1091.5,-229 1097.5,-223 1103.5,-223 1103.5,-223 1187.5,-223 1187.5,-223 1193.5,-223 1199.5,-229 1199.5,-235 1199.5,-235 1199.5,-294 1199.5,-294 1199.5,-300 1193.5,-306 1187.5,-306\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"1145.5\" y=\"-290.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">age &lt;= &#45;0.364</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1145.5\" y=\"-275.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">entropy = 0.89</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1145.5\" y=\"-260.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 13</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1145.5\" y=\"-245.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [4, 9]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1145.5\" y=\"-230.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = &#160;</text>\r\n",
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       "<!-- 35&#45;&gt;37 -->\r\n",
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       "<!-- 38 -->\r\n",
       "<g id=\"node39\" class=\"node\"><title>38</title>\r\n",
       "<path fill=\"#f6d5bd\" stroke=\"black\" d=\"M1124.5,-187C1124.5,-187 1032.5,-187 1032.5,-187 1026.5,-187 1020.5,-181 1020.5,-175 1020.5,-175 1020.5,-116 1020.5,-116 1020.5,-110 1026.5,-104 1032.5,-104 1032.5,-104 1124.5,-104 1124.5,-104 1130.5,-104 1136.5,-110 1136.5,-116 1136.5,-116 1136.5,-175 1136.5,-175 1136.5,-181 1130.5,-187 1124.5,-187\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"1078.5\" y=\"-171.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">chol &lt;= &#45;0.237</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1078.5\" y=\"-156.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">entropy = 0.971</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1078.5\" y=\"-141.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 5</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1078.5\" y=\"-126.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [3, 2]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1078.5\" y=\"-111.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = 0</text>\r\n",
       "</g>\r\n",
       "<!-- 37&#45;&gt;38 -->\r\n",
       "<g id=\"edge38\" class=\"edge\"><title>37&#45;&gt;38</title>\r\n",
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       "<!-- 41 -->\r\n",
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       "<path fill=\"#55abe9\" stroke=\"black\" d=\"M1258.5,-187C1258.5,-187 1166.5,-187 1166.5,-187 1160.5,-187 1154.5,-181 1154.5,-175 1154.5,-175 1154.5,-116 1154.5,-116 1154.5,-110 1160.5,-104 1166.5,-104 1166.5,-104 1258.5,-104 1258.5,-104 1264.5,-104 1270.5,-110 1270.5,-116 1270.5,-116 1270.5,-175 1270.5,-175 1270.5,-181 1264.5,-187 1258.5,-187\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"1212.5\" y=\"-171.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">chol &lt;= &#45;0.54</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1212.5\" y=\"-156.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">entropy = 0.544</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1212.5\" y=\"-141.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 8</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1212.5\" y=\"-126.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [1, 7]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1212.5\" y=\"-111.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = &#160;</text>\r\n",
       "</g>\r\n",
       "<!-- 37&#45;&gt;41 -->\r\n",
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       "<g id=\"node40\" class=\"node\"><title>39</title>\r\n",
       "<path fill=\"#e58139\" stroke=\"black\" d=\"M992.5,-68C992.5,-68 916.5,-68 916.5,-68 910.5,-68 904.5,-62 904.5,-56 904.5,-56 904.5,-12 904.5,-12 904.5,-6 910.5,-0 916.5,-0 916.5,-0 992.5,-0 992.5,-0 998.5,-0 1004.5,-6 1004.5,-12 1004.5,-12 1004.5,-56 1004.5,-56 1004.5,-62 998.5,-68 992.5,-68\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"954.5\" y=\"-52.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">entropy = 0.0</text>\r\n",
       "<text text-anchor=\"middle\" x=\"954.5\" y=\"-37.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 2</text>\r\n",
       "<text text-anchor=\"middle\" x=\"954.5\" y=\"-22.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [2, 0]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"954.5\" y=\"-7.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = 0</text>\r\n",
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       "<!-- 38&#45;&gt;39 -->\r\n",
       "<g id=\"edge39\" class=\"edge\"><title>38&#45;&gt;39</title>\r\n",
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       "<path fill=\"#9ccef2\" stroke=\"black\" d=\"M1126.5,-68C1126.5,-68 1034.5,-68 1034.5,-68 1028.5,-68 1022.5,-62 1022.5,-56 1022.5,-56 1022.5,-12 1022.5,-12 1022.5,-6 1028.5,-0 1034.5,-0 1034.5,-0 1126.5,-0 1126.5,-0 1132.5,-0 1138.5,-6 1138.5,-12 1138.5,-12 1138.5,-56 1138.5,-56 1138.5,-62 1132.5,-68 1126.5,-68\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"1080.5\" y=\"-52.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">entropy = 0.918</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1080.5\" y=\"-37.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 3</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1080.5\" y=\"-22.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [1, 2]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1080.5\" y=\"-7.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = &#160;</text>\r\n",
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       "<!-- 38&#45;&gt;40 -->\r\n",
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       "<text text-anchor=\"middle\" x=\"1210.5\" y=\"-52.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">entropy = 1.0</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1210.5\" y=\"-37.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 2</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1210.5\" y=\"-22.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [1, 1]</text>\r\n",
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       "<!-- 41&#45;&gt;42 -->\r\n",
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       "<path fill=\"#399de5\" stroke=\"black\" d=\"M1366.5,-68C1366.5,-68 1290.5,-68 1290.5,-68 1284.5,-68 1278.5,-62 1278.5,-56 1278.5,-56 1278.5,-12 1278.5,-12 1278.5,-6 1284.5,-0 1290.5,-0 1290.5,-0 1366.5,-0 1366.5,-0 1372.5,-0 1378.5,-6 1378.5,-12 1378.5,-12 1378.5,-56 1378.5,-56 1378.5,-62 1372.5,-68 1366.5,-68\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"1328.5\" y=\"-52.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">entropy = 0.0</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1328.5\" y=\"-37.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 6</text>\r\n",
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       "<!-- 41&#45;&gt;43 -->\r\n",
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       "<text text-anchor=\"middle\" x=\"1267.5\" y=\"-283.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">entropy = 0.0</text>\r\n",
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       "<text text-anchor=\"middle\" x=\"1267.5\" y=\"-238.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = 0</text>\r\n",
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       "<!-- 44&#45;&gt;45 -->\r\n",
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       "<!-- 46 -->\r\n",
       "<g id=\"node47\" class=\"node\"><title>46</title>\r\n",
       "<path fill=\"#ffffff\" stroke=\"black\" d=\"M1423.5,-298.5C1423.5,-298.5 1347.5,-298.5 1347.5,-298.5 1341.5,-298.5 1335.5,-292.5 1335.5,-286.5 1335.5,-286.5 1335.5,-242.5 1335.5,-242.5 1335.5,-236.5 1341.5,-230.5 1347.5,-230.5 1347.5,-230.5 1423.5,-230.5 1423.5,-230.5 1429.5,-230.5 1435.5,-236.5 1435.5,-242.5 1435.5,-242.5 1435.5,-286.5 1435.5,-286.5 1435.5,-292.5 1429.5,-298.5 1423.5,-298.5\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"1385.5\" y=\"-283.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">entropy = 1.0</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1385.5\" y=\"-268.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 2</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1385.5\" y=\"-253.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [1, 1]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1385.5\" y=\"-238.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = 0</text>\r\n",
       "</g>\r\n",
       "<!-- 44&#45;&gt;46 -->\r\n",
       "<g id=\"edge46\" class=\"edge\"><title>44&#45;&gt;46</title>\r\n",
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       "<!-- 49 -->\r\n",
       "<g id=\"node50\" class=\"node\"><title>49</title>\r\n",
       "<path fill=\"#eca06a\" stroke=\"black\" d=\"M1468.5,-663C1468.5,-663 1376.5,-663 1376.5,-663 1370.5,-663 1364.5,-657 1364.5,-651 1364.5,-651 1364.5,-592 1364.5,-592 1364.5,-586 1370.5,-580 1376.5,-580 1376.5,-580 1468.5,-580 1468.5,-580 1474.5,-580 1480.5,-586 1480.5,-592 1480.5,-592 1480.5,-651 1480.5,-651 1480.5,-657 1474.5,-663 1468.5,-663\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"1422.5\" y=\"-647.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">age &lt;= 0.799</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1422.5\" y=\"-632.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">entropy = 0.722</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1422.5\" y=\"-617.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 15</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1422.5\" y=\"-602.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [12, 3]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1422.5\" y=\"-587.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = 0</text>\r\n",
       "</g>\r\n",
       "<!-- 48&#45;&gt;49 -->\r\n",
       "<g id=\"edge49\" class=\"edge\"><title>48&#45;&gt;49</title>\r\n",
       "<path fill=\"none\" stroke=\"black\" d=\"M1422.5,-698.907C1422.5,-690.649 1422.5,-681.864 1422.5,-673.302\"/>\r\n",
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       "<!-- 56 -->\r\n",
       "<g id=\"node57\" class=\"node\"><title>56</title>\r\n",
       "<path fill=\"#80c0ee\" stroke=\"black\" d=\"M1751.5,-663C1751.5,-663 1659.5,-663 1659.5,-663 1653.5,-663 1647.5,-657 1647.5,-651 1647.5,-651 1647.5,-592 1647.5,-592 1647.5,-586 1653.5,-580 1659.5,-580 1659.5,-580 1751.5,-580 1751.5,-580 1757.5,-580 1763.5,-586 1763.5,-592 1763.5,-592 1763.5,-651 1763.5,-651 1763.5,-657 1757.5,-663 1751.5,-663\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"1705.5\" y=\"-647.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">ca &lt;= 0.901</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1705.5\" y=\"-632.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">entropy = 0.831</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1705.5\" y=\"-617.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 19</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1705.5\" y=\"-602.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [5, 14]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1705.5\" y=\"-587.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = &#160;</text>\r\n",
       "</g>\r\n",
       "<!-- 48&#45;&gt;56 -->\r\n",
       "<g id=\"edge56\" class=\"edge\"><title>48&#45;&gt;56</title>\r\n",
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       "<!-- 50 -->\r\n",
       "<g id=\"node51\" class=\"node\"><title>50</title>\r\n",
       "<path fill=\"#e58139\" stroke=\"black\" d=\"M1428.5,-536.5C1428.5,-536.5 1352.5,-536.5 1352.5,-536.5 1346.5,-536.5 1340.5,-530.5 1340.5,-524.5 1340.5,-524.5 1340.5,-480.5 1340.5,-480.5 1340.5,-474.5 1346.5,-468.5 1352.5,-468.5 1352.5,-468.5 1428.5,-468.5 1428.5,-468.5 1434.5,-468.5 1440.5,-474.5 1440.5,-480.5 1440.5,-480.5 1440.5,-524.5 1440.5,-524.5 1440.5,-530.5 1434.5,-536.5 1428.5,-536.5\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"1390.5\" y=\"-521.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">entropy = 0.0</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1390.5\" y=\"-506.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 7</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1390.5\" y=\"-491.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [7, 0]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1390.5\" y=\"-476.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = 0</text>\r\n",
       "</g>\r\n",
       "<!-- 49&#45;&gt;50 -->\r\n",
       "<g id=\"edge50\" class=\"edge\"><title>49&#45;&gt;50</title>\r\n",
       "<path fill=\"none\" stroke=\"black\" d=\"M1411.4,-579.907C1408.44,-569.094 1405.24,-557.376 1402.24,-546.441\"/>\r\n",
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       "<!-- 51 -->\r\n",
       "<g id=\"node52\" class=\"node\"><title>51</title>\r\n",
       "<path fill=\"#f5cdb0\" stroke=\"black\" d=\"M1562.5,-544C1562.5,-544 1470.5,-544 1470.5,-544 1464.5,-544 1458.5,-538 1458.5,-532 1458.5,-532 1458.5,-473 1458.5,-473 1458.5,-467 1464.5,-461 1470.5,-461 1470.5,-461 1562.5,-461 1562.5,-461 1568.5,-461 1574.5,-467 1574.5,-473 1574.5,-473 1574.5,-532 1574.5,-532 1574.5,-538 1568.5,-544 1562.5,-544\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"1516.5\" y=\"-528.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">chol &lt;= &#45;0.035</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1516.5\" y=\"-513.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">entropy = 0.954</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1516.5\" y=\"-498.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 8</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1516.5\" y=\"-483.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [5, 3]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1516.5\" y=\"-468.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = 0</text>\r\n",
       "</g>\r\n",
       "<!-- 49&#45;&gt;51 -->\r\n",
       "<g id=\"edge51\" class=\"edge\"><title>49&#45;&gt;51</title>\r\n",
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       "<polygon fill=\"black\" stroke=\"black\" points=\"1480.41,-554.009 1483.94,-544.021 1474.95,-549.624 1480.41,-554.009\"/>\r\n",
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       "<!-- 52 -->\r\n",
       "<g id=\"node53\" class=\"node\"><title>52</title>\r\n",
       "<path fill=\"#399de5\" stroke=\"black\" d=\"M1427.5,-417.5C1427.5,-417.5 1351.5,-417.5 1351.5,-417.5 1345.5,-417.5 1339.5,-411.5 1339.5,-405.5 1339.5,-405.5 1339.5,-361.5 1339.5,-361.5 1339.5,-355.5 1345.5,-349.5 1351.5,-349.5 1351.5,-349.5 1427.5,-349.5 1427.5,-349.5 1433.5,-349.5 1439.5,-355.5 1439.5,-361.5 1439.5,-361.5 1439.5,-405.5 1439.5,-405.5 1439.5,-411.5 1433.5,-417.5 1427.5,-417.5\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"1389.5\" y=\"-402.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">entropy = 0.0</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1389.5\" y=\"-387.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 2</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1389.5\" y=\"-372.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [0, 2]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1389.5\" y=\"-357.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = &#160;</text>\r\n",
       "</g>\r\n",
       "<!-- 51&#45;&gt;52 -->\r\n",
       "<g id=\"edge52\" class=\"edge\"><title>51&#45;&gt;52</title>\r\n",
       "<path fill=\"none\" stroke=\"black\" d=\"M1472.44,-460.907C1459.62,-449.101 1445.64,-436.217 1432.86,-424.45\"/>\r\n",
       "<polygon fill=\"black\" stroke=\"black\" points=\"1435.23,-421.868 1425.5,-417.667 1430.48,-427.017 1435.23,-421.868\"/>\r\n",
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       "<!-- 53 -->\r\n",
       "<g id=\"node54\" class=\"node\"><title>53</title>\r\n",
       "<path fill=\"#ea9a61\" stroke=\"black\" d=\"M1575,-425C1575,-425 1470,-425 1470,-425 1464,-425 1458,-419 1458,-413 1458,-413 1458,-354 1458,-354 1458,-348 1464,-342 1470,-342 1470,-342 1575,-342 1575,-342 1581,-342 1587,-348 1587,-354 1587,-354 1587,-413 1587,-413 1587,-419 1581,-425 1575,-425\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"1522.5\" y=\"-409.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">trestbps &lt;= 0.648</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1522.5\" y=\"-394.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">entropy = 0.65</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1522.5\" y=\"-379.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 6</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1522.5\" y=\"-364.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [5, 1]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1522.5\" y=\"-349.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = 0</text>\r\n",
       "</g>\r\n",
       "<!-- 51&#45;&gt;53 -->\r\n",
       "<g id=\"edge53\" class=\"edge\"><title>51&#45;&gt;53</title>\r\n",
       "<path fill=\"none\" stroke=\"black\" d=\"M1518.58,-460.907C1519.01,-452.558 1519.47,-443.671 1519.91,-435.02\"/>\r\n",
       "<polygon fill=\"black\" stroke=\"black\" points=\"1523.41,-435.187 1520.42,-425.021 1516.41,-434.828 1523.41,-435.187\"/>\r\n",
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       "<!-- 54 -->\r\n",
       "<g id=\"node55\" class=\"node\"><title>54</title>\r\n",
       "<path fill=\"#e58139\" stroke=\"black\" d=\"M1550.5,-298.5C1550.5,-298.5 1474.5,-298.5 1474.5,-298.5 1468.5,-298.5 1462.5,-292.5 1462.5,-286.5 1462.5,-286.5 1462.5,-242.5 1462.5,-242.5 1462.5,-236.5 1468.5,-230.5 1474.5,-230.5 1474.5,-230.5 1550.5,-230.5 1550.5,-230.5 1556.5,-230.5 1562.5,-236.5 1562.5,-242.5 1562.5,-242.5 1562.5,-286.5 1562.5,-286.5 1562.5,-292.5 1556.5,-298.5 1550.5,-298.5\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"1512.5\" y=\"-283.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">entropy = 0.0</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1512.5\" y=\"-268.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 4</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1512.5\" y=\"-253.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [4, 0]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1512.5\" y=\"-238.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = 0</text>\r\n",
       "</g>\r\n",
       "<!-- 53&#45;&gt;54 -->\r\n",
       "<g id=\"edge54\" class=\"edge\"><title>53&#45;&gt;54</title>\r\n",
       "<path fill=\"none\" stroke=\"black\" d=\"M1519.03,-341.907C1518.12,-331.204 1517.13,-319.615 1516.2,-308.776\"/>\r\n",
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       "<!-- 55 -->\r\n",
       "<g id=\"node56\" class=\"node\"><title>55</title>\r\n",
       "<path fill=\"#ffffff\" stroke=\"black\" d=\"M1668.5,-298.5C1668.5,-298.5 1592.5,-298.5 1592.5,-298.5 1586.5,-298.5 1580.5,-292.5 1580.5,-286.5 1580.5,-286.5 1580.5,-242.5 1580.5,-242.5 1580.5,-236.5 1586.5,-230.5 1592.5,-230.5 1592.5,-230.5 1668.5,-230.5 1668.5,-230.5 1674.5,-230.5 1680.5,-236.5 1680.5,-242.5 1680.5,-242.5 1680.5,-286.5 1680.5,-286.5 1680.5,-292.5 1674.5,-298.5 1668.5,-298.5\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"1630.5\" y=\"-283.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">entropy = 1.0</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1630.5\" y=\"-268.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 2</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1630.5\" y=\"-253.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [1, 1]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1630.5\" y=\"-238.3\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = 0</text>\r\n",
       "</g>\r\n",
       "<!-- 53&#45;&gt;55 -->\r\n",
       "<g id=\"edge55\" class=\"edge\"><title>53&#45;&gt;55</title>\r\n",
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       "<!-- 57 -->\r\n",
       "<g id=\"node58\" class=\"node\"><title>57</title>\r\n",
       "<path fill=\"#4da7e8\" stroke=\"black\" d=\"M1754.5,-544C1754.5,-544 1656.5,-544 1656.5,-544 1650.5,-544 1644.5,-538 1644.5,-532 1644.5,-532 1644.5,-473 1644.5,-473 1644.5,-467 1650.5,-461 1656.5,-461 1656.5,-461 1754.5,-461 1754.5,-461 1760.5,-461 1766.5,-467 1766.5,-473 1766.5,-473 1766.5,-532 1766.5,-532 1766.5,-538 1760.5,-544 1754.5,-544\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"1705.5\" y=\"-528.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">thalach &lt;= 0.788</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1705.5\" y=\"-513.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">entropy = 0.439</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1705.5\" y=\"-498.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 11</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1705.5\" y=\"-483.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [1, 10]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1705.5\" y=\"-468.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = &#160;</text>\r\n",
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       "<!-- 56&#45;&gt;57 -->\r\n",
       "<g id=\"edge57\" class=\"edge\"><title>56&#45;&gt;57</title>\r\n",
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       "<!-- 60 -->\r\n",
       "<g id=\"node61\" class=\"node\"><title>60</title>\r\n",
       "<path fill=\"#ffffff\" stroke=\"black\" d=\"M1952,-544C1952,-544 1847,-544 1847,-544 1841,-544 1835,-538 1835,-532 1835,-532 1835,-473 1835,-473 1835,-467 1841,-461 1847,-461 1847,-461 1952,-461 1952,-461 1958,-461 1964,-467 1964,-473 1964,-473 1964,-532 1964,-532 1964,-538 1958,-544 1952,-544\"/>\r\n",
       "<text text-anchor=\"middle\" x=\"1899.5\" y=\"-528.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">trestbps &lt;= 0.309</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1899.5\" y=\"-513.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">entropy = 1.0</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1899.5\" y=\"-498.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">samples = 8</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1899.5\" y=\"-483.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">value = [4, 4]</text>\r\n",
       "<text text-anchor=\"middle\" x=\"1899.5\" y=\"-468.8\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">class = 0</text>\r\n",
       "</g>\r\n",
       "<!-- 56&#45;&gt;60 -->\r\n",
       "<g id=\"edge60\" class=\"edge\"><title>56&#45;&gt;60</title>\r\n",
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       "<g id=\"node59\" class=\"node\"><title>58</title>\r\n",
       "<path fill=\"#399de5\" stroke=\"black\" d=\"M1693.5,-417.5C1693.5,-417.5 1617.5,-417.5 1617.5,-417.5 1611.5,-417.5 1605.5,-411.5 1605.5,-405.5 1605.5,-405.5 1605.5,-361.5 1605.5,-361.5 1605.5,-355.5 1611.5,-349.5 1617.5,-349.5 1617.5,-349.5 1693.5,-349.5 1693.5,-349.5 1699.5,-349.5 1705.5,-355.5 1705.5,-361.5 1705.5,-361.5 1705.5,-405.5 1705.5,-405.5 1705.5,-411.5 1699.5,-417.5 1693.5,-417.5\"/>\r\n",
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     },
     "execution_count": 35,
     "metadata": {},
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   ],
   "source": [
    "export_graphviz(\n",
    "        model_tree_best,\n",
    "        out_file=os.path.join(IMAGES_PATH, \"heartattack_decision_tree_best.dot\"),\n",
    "        feature_names=X.columns,\n",
    "        class_names=str(y),\n",
    "        rounded=True,\n",
    "        filled=True\n",
    "    )\n",
    "\n",
    "Source.from_file(os.path.join(IMAGES_PATH, \"heartattack_decision_tree_best.dot\"))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cd9364f1",
   "metadata": {},
   "source": [
    "## Random Forest"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "777f89cd",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Fitting 3 folds for each of 4 candidates, totalling 12 fits\n",
      "Best parameters: {'max_features': 'auto', 'n_estimators': 500}\n",
      "Elapsed prediction time:  2989.12  ms\n",
      "TRAINING RESULTS: \n",
      "===============================\n",
      "CONFUSION MATRIX:\n",
      "[[ 96   0]\n",
      " [  0 115]]\n",
      "ACCURACY SCORE:\n",
      "1.0000\n",
      "F1 SCORE:\n",
      "1.0\n",
      "CLASSIFICATION REPORT:\n",
      "              0      1  accuracy  macro avg  weighted avg\n",
      "precision   1.0    1.0       1.0        1.0           1.0\n",
      "recall      1.0    1.0       1.0        1.0           1.0\n",
      "f1-score    1.0    1.0       1.0        1.0           1.0\n",
      "support    96.0  115.0       1.0      211.0         211.0\n",
      "\n",
      "TESTING RESULTS: \n",
      "===============================\n",
      "CONFUSION MATRIX:\n",
      "[[35  7]\n",
      " [ 9 40]]\n",
      "ACCURACY SCORE:\n",
      "0.8242\n",
      "F1 SCORE:\n",
      "0.8333333333333334\n",
      "CLASSIFICATION REPORT:\n",
      "                   0          1  accuracy  macro avg  weighted avg\n",
      "precision   0.795455   0.851064  0.824176   0.823259      0.825398\n",
      "recall      0.833333   0.816327  0.824176   0.824830      0.824176\n",
      "f1-score    0.813953   0.833333  0.824176   0.823643      0.824389\n",
      "support    42.000000  49.000000  0.824176  91.000000     91.000000\n"
     ]
    }
   ],
   "source": [
    "tstart = time.time() #for calculating processing time\n",
    "\n",
    "n_estimators = [100, 500]\n",
    "max_features = ['auto', 'sqrt']\n",
    "\n",
    "params_grid = {'n_estimators': n_estimators, 'max_features': max_features}\n",
    "\n",
    "# train model with default setting\n",
    "model_rf = RandomForestClassifier(random_state=42)\n",
    "model_rf_gridCV = GridSearchCV(model_rf, params_grid, scoring=\"f1\", cv=3, verbose=2, n_jobs=-1)\n",
    "\n",
    "\n",
    "model_rf_gridCV.fit(X_train_trf, y_train)\n",
    "best_params = model_rf_gridCV.best_params_\n",
    "print(f\"Best parameters: {best_params}\")\n",
    "tfinish = time.time()\n",
    "\n",
    "time_elapsed = round((tfinish - tstart)*1000, 2)\n",
    "print('Elapsed prediction time: ',time_elapsed,' ms')\n",
    "\n",
    "# train model with best parameters setting\n",
    "model_rf_best = RandomForestClassifier(**best_params)\n",
    "model_rf_best.fit(X_train_trf, y_train)\n",
    "\n",
    "evaluate(model_rf_best, X_train_trf, y_train, X_test_trf, y_test)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ef758cb8",
   "metadata": {},
   "source": [
    "### ROC Curve"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "3761e6fa",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
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     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
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    {
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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# ROC Curve best setting\n",
    "plt.figure(figsize=(8, 6))                                    \n",
    "plt.axis([0, 1, 0, 1])                                    \n",
    "plt.xlabel('False Positive Rate (Fall-Out)', fontsize=16) \n",
    "plt.ylabel('True Positive Rate (Recall)', fontsize=16)    \n",
    "plt.grid(True)                                            \n",
    "plt.plot([0, 1], [0, 1], 'k--') # dashed diagonal\n",
    "\n",
    "labels=['DecTree', 'RF']\n",
    "for idx,model in enumerate([model_tree_best , model_rf_best]):\n",
    "    y_scores = model.predict(X_test_trf)\n",
    "    fpr, tpr, thresholds = roc_curve(y_test, y_scores)\n",
    "    roc_auc = auc(fpr, tpr)\n",
    "    plt.plot(fpr, tpr, linewidth=2, label=labels[idx] + ' ROC curve (area = %0.2f)' % roc_auc)\n",
    "plt.legend(loc=\"lower right\",prop={'size': 10})"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "63339239",
   "metadata": {},
   "source": [
    "## Cross Validation 10-Fold"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1e374e84",
   "metadata": {},
   "source": [
    "#### Decision Tree"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "8309a626",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Wall time: 59 ms\n",
      "Cross Validation Score:  [0.80645161 0.80645161 0.76666667 0.76666667 0.83333333 0.6\n",
      " 0.7        0.8        0.63333333 0.73333333]\n",
      "Average Cross Validation score: 74.46236559139786\n"
     ]
    }
   ],
   "source": [
    "%time accuracy_cv_tree = cross_val_score(model_tree, X, y, cv=10, scoring='accuracy')\n",
    "print('Cross Validation Score: ', accuracy_cv_tree)\n",
    "\n",
    "#get the mean of each fold \n",
    "print(\"Average Cross Validation score:\", accuracy_cv_tree.mean() * 100)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "433f1121",
   "metadata": {},
   "source": [
    "#### Random forest"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "b4752405",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Wall time: 1.69 s\n",
      "Cross Validation Score:  [0.90322581 0.77419355 0.86666667 0.9        0.83333333 0.8\n",
      " 0.76666667 0.83333333 0.7        0.8       ]\n",
      "Average Cross Validation score: 81.7741935483871\n"
     ]
    }
   ],
   "source": [
    "%time accuracy_cv_rf = cross_val_score(model_rf, X, y, cv=10, scoring='accuracy')\n",
    "print('Cross Validation Score: ', accuracy_cv_rf)\n",
    "\n",
    "#get the mean of each fold \n",
    "print(\"Average Cross Validation score:\", accuracy_cv_rf.mean() * 100)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "072dc5f0",
   "metadata": {},
   "source": [
    "# Model Inference"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "077c3de3",
   "metadata": {},
   "source": [
    "## Decision Tree"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "5f030f5b",
   "metadata": {},
   "outputs": [
    {
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       "     Actual Target  Prediction with LR\n",
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    "pred_result = []\n",
    "\n",
    "model_pred = model_tree_best.predict(X_test_trf)\n",
    "pred_result.append(model_pred)\n",
    "\n",
    "#insert predict result to dataframe\n",
    "pred_result_tree = pd.DataFrame({\n",
    "    \"Actual Target\":y_test,\n",
    "    \"Prediction with LR\":pred_result[0]\n",
    "})\n",
    "\n",
    "pred_result_tree.head()"
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  },
  {
   "cell_type": "markdown",
   "id": "efd524b3",
   "metadata": {},
   "source": [
    "## Random Forest"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "665966f2",
   "metadata": {},
   "outputs": [
    {
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       "     Actual Target  Prediction with LR\n",
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   "source": [
    "pred_result1 = []\n",
    "\n",
    "model_pred1 = model_rf_best.predict(X_test_trf)\n",
    "pred_result1.append(model_pred1)\n",
    "\n",
    "#insert predict result to dataframe\n",
    "pred_result_rf = pd.DataFrame({\n",
    "    \"Actual Target\":y_test,\n",
    "    \"Prediction with LR\":pred_result1[0]\n",
    "})\n",
    "\n",
    "pred_result_rf.head()"
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  },
  {
   "cell_type": "markdown",
   "id": "ab77feda",
   "metadata": {},
   "source": [
    "# Conclusion"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a5b834fd",
   "metadata": {},
   "source": [
    "## Overall Analysis EDA\n",
    " \n",
    "- Rata-rata umur pasien dari dataset adalah 54 tahun dan Umur 58 menjadi mayoritas umur di dataset ini.\n",
    "- Kebanyakan jenis kelamin pasien di dataset ini adalah variabel 1 (Jika pelabelan menggunakan encoder, maka variabel 1 ini kemungkinan adalah \"Women\" atau wanita dikarenakan encoder melakukan pelabelan secara runut menurut abjad 'alphabethical' dan 0 sebagai \"Men\" atau Pria. Namun ini hanya asumsi penulis saja, bisa saja berbeda pengertian dengan institusi sumber dataset ini.)\n",
    "- Beberapa data terdistribusi secara normal namun ada beberapa juga yang *skewed* ke kanan. Namun masih dalam batas wajar.\n",
    "- Distribusi data pada target sendiri tidak telalu jauh perbedaannya, masih dalam batas wajar sehingga tidak perlu dilakukan resampling (down ataupun upsampling).\n",
    "\n",
    "## Model Analysis\n",
    "\n",
    "- With best parameters from GridSearchCV, we got the highest stats is Random Forest.\n",
    "  - DT = \n",
    "    - **Accuracy score** 0.75, **f1score** 0.75, **ROC_AUC** 0.77\n",
    "  - RF = \n",
    "    - **Accuracy score** 0.82, **f1score** 0.83, **ROC_AUC** 0.82\n",
    "\n",
    "\n",
    "**--Confussion Matrix--**\n",
    "\n",
    "(TN: True Negative, FP: False Positive, FN: False Negative, TP: True Positive)\n",
    ">- DecTree\n",
    "    - TN = 36 , FP = 6 , FN = 16 , TP = 33\n",
    ">- RandomForest\n",
    "    - TN = 35 , FP = 7 , FN = 9 , TP = 40\n",
    "    \n",
    "    \n",
    "\n",
    "Dari hasil diatas dapat terlihat bahwa *Random Forest* mengalahkan *Decision Tree* dari berbagai skor evaluasi. Walaupun saat menggunakan *best parameter* dari *Grid Search* terdapat sedikit penurunan nilai skor pada kedua model, *Random Forest* tetap menjadi pemilik nilai skor tertinggi. Dari segi waktu komputasi sendiri, *Decision Tree* memang sedikit lebih baik dari *Random Forest* hanya terpaut beberapa milisecond saja. Waktu komputasi *Random Forest* hanya unggul disaat pencarian *Best Parameters* menggunakan *Grid Search* dengan waktu 2406ms, sementara *Grid Search* memerlukan waktu 3660ms.\n",
    "\n",
    "Dan berdasarkan *Confusion Matrix*, *Random Forest* memiliki nilai TP lebih tinggi dari *Decision Tree*, yang berarti model dapat memprediksi dengan benar jika seorang pasien memang memiliki kemungkinan risiko terkena serangan jantung sehingga tenaga medis dapat memberikan pengawasan, anjuran dan penanganan yang tepat dan lebih baik. Begitu juga dengan nilai FP *Random Forest* yang sedikit lebih tinggi dan FN yang jauh lebih kecil dari *Decision Tree*. Ini adalah hal yang bagus karena lebih baik pasien tersebut terdiagnosa berisiko terkena serangan jantung padahal sebenarnya tidak, daripada sebaliknya. Karena jika FN semakin tinggi maka cost yang diperlukan untuk memperbaikinya sangatlah tinggi, terlebih ini berkaitan dengan medis.\n",
    "\n"
   ]
  }
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