Fraud Detection in Vehicle insurance.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "f90d0a65",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Import the neccessary packages \n",
    "import numpy as np \n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "e38ed324",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Import the neccessary packages \n",
    "import os\n",
    "for dirname, _, filenames in os.walk('/kaggle/input'):\n",
    "    for filename in filenames:\n",
    "        print(os.path.join(dirname, filename))\n",
    "        "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "6b027b2f",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Import the neccessary packages \n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "from sklearn.preprocessing import LabelEncoder\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.metrics import f1_score, accuracy_score, confusion_matrix,roc_auc_score\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn.utils import resample\n",
    "import warnings\n",
    "warnings.filterwarnings(\"ignore\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "b557b18e",
   "metadata": {},
   "outputs": [],
   "source": [
    "#load the dataset\n",
    "df = pd.read_csv(r'C:\\Users\\eludi\\OneDrive\\Desktop\\Portfolio\\carclaims.csv')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "395cfdeb",
   "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>Month</th>\n",
       "      <th>WeekOfMonth</th>\n",
       "      <th>DayOfWeek</th>\n",
       "      <th>Make</th>\n",
       "      <th>AccidentArea</th>\n",
       "      <th>DayOfWeekClaimed</th>\n",
       "      <th>MonthClaimed</th>\n",
       "      <th>WeekOfMonthClaimed</th>\n",
       "      <th>Sex</th>\n",
       "      <th>MaritalStatus</th>\n",
       "      <th>...</th>\n",
       "      <th>AgeOfPolicyHolder</th>\n",
       "      <th>PoliceReportFiled</th>\n",
       "      <th>WitnessPresent</th>\n",
       "      <th>AgentType</th>\n",
       "      <th>NumberOfSuppliments</th>\n",
       "      <th>AddressChange-Claim</th>\n",
       "      <th>NumberOfCars</th>\n",
       "      <th>Year</th>\n",
       "      <th>BasePolicy</th>\n",
       "      <th>FraudFound</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>15415</th>\n",
       "      <td>Nov</td>\n",
       "      <td>4</td>\n",
       "      <td>Friday</td>\n",
       "      <td>Toyota</td>\n",
       "      <td>Urban</td>\n",
       "      <td>Tuesday</td>\n",
       "      <td>Nov</td>\n",
       "      <td>5</td>\n",
       "      <td>Male</td>\n",
       "      <td>Married</td>\n",
       "      <td>...</td>\n",
       "      <td>31 to 35</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>External</td>\n",
       "      <td>none</td>\n",
       "      <td>no change</td>\n",
       "      <td>1 vehicle</td>\n",
       "      <td>1996</td>\n",
       "      <td>Collision</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15416</th>\n",
       "      <td>Nov</td>\n",
       "      <td>5</td>\n",
       "      <td>Thursday</td>\n",
       "      <td>Pontiac</td>\n",
       "      <td>Urban</td>\n",
       "      <td>Friday</td>\n",
       "      <td>Dec</td>\n",
       "      <td>1</td>\n",
       "      <td>Male</td>\n",
       "      <td>Married</td>\n",
       "      <td>...</td>\n",
       "      <td>31 to 35</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>External</td>\n",
       "      <td>more than 5</td>\n",
       "      <td>no change</td>\n",
       "      <td>3 to 4</td>\n",
       "      <td>1996</td>\n",
       "      <td>Liability</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15417</th>\n",
       "      <td>Nov</td>\n",
       "      <td>5</td>\n",
       "      <td>Thursday</td>\n",
       "      <td>Toyota</td>\n",
       "      <td>Rural</td>\n",
       "      <td>Friday</td>\n",
       "      <td>Dec</td>\n",
       "      <td>1</td>\n",
       "      <td>Male</td>\n",
       "      <td>Single</td>\n",
       "      <td>...</td>\n",
       "      <td>26 to 30</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>External</td>\n",
       "      <td>1 to 2</td>\n",
       "      <td>no change</td>\n",
       "      <td>1 vehicle</td>\n",
       "      <td>1996</td>\n",
       "      <td>Collision</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15418</th>\n",
       "      <td>Dec</td>\n",
       "      <td>1</td>\n",
       "      <td>Monday</td>\n",
       "      <td>Toyota</td>\n",
       "      <td>Urban</td>\n",
       "      <td>Thursday</td>\n",
       "      <td>Dec</td>\n",
       "      <td>2</td>\n",
       "      <td>Female</td>\n",
       "      <td>Married</td>\n",
       "      <td>...</td>\n",
       "      <td>31 to 35</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>External</td>\n",
       "      <td>more than 5</td>\n",
       "      <td>no change</td>\n",
       "      <td>1 vehicle</td>\n",
       "      <td>1996</td>\n",
       "      <td>All Perils</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15419</th>\n",
       "      <td>Dec</td>\n",
       "      <td>2</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>Toyota</td>\n",
       "      <td>Urban</td>\n",
       "      <td>Thursday</td>\n",
       "      <td>Dec</td>\n",
       "      <td>3</td>\n",
       "      <td>Male</td>\n",
       "      <td>Single</td>\n",
       "      <td>...</td>\n",
       "      <td>26 to 30</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>External</td>\n",
       "      <td>1 to 2</td>\n",
       "      <td>no change</td>\n",
       "      <td>1 vehicle</td>\n",
       "      <td>1996</td>\n",
       "      <td>Collision</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 33 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Month  WeekOfMonth  DayOfWeek     Make AccidentArea DayOfWeekClaimed  \\\n",
       "15415   Nov            4     Friday   Toyota        Urban          Tuesday   \n",
       "15416   Nov            5   Thursday  Pontiac        Urban           Friday   \n",
       "15417   Nov            5   Thursday   Toyota        Rural           Friday   \n",
       "15418   Dec            1     Monday   Toyota        Urban         Thursday   \n",
       "15419   Dec            2  Wednesday   Toyota        Urban         Thursday   \n",
       "\n",
       "      MonthClaimed  WeekOfMonthClaimed     Sex MaritalStatus  ...  \\\n",
       "15415          Nov                   5    Male       Married  ...   \n",
       "15416          Dec                   1    Male       Married  ...   \n",
       "15417          Dec                   1    Male        Single  ...   \n",
       "15418          Dec                   2  Female       Married  ...   \n",
       "15419          Dec                   3    Male        Single  ...   \n",
       "\n",
       "       AgeOfPolicyHolder PoliceReportFiled WitnessPresent AgentType  \\\n",
       "15415           31 to 35                No             No  External   \n",
       "15416           31 to 35                No             No  External   \n",
       "15417           26 to 30                No             No  External   \n",
       "15418           31 to 35                No             No  External   \n",
       "15419           26 to 30                No             No  External   \n",
       "\n",
       "      NumberOfSuppliments  AddressChange-Claim  NumberOfCars  Year  \\\n",
       "15415                none            no change     1 vehicle  1996   \n",
       "15416         more than 5            no change        3 to 4  1996   \n",
       "15417              1 to 2            no change     1 vehicle  1996   \n",
       "15418         more than 5            no change     1 vehicle  1996   \n",
       "15419              1 to 2            no change     1 vehicle  1996   \n",
       "\n",
       "       BasePolicy FraudFound  \n",
       "15415   Collision        Yes  \n",
       "15416   Liability         No  \n",
       "15417   Collision        Yes  \n",
       "15418  All Perils         No  \n",
       "15419   Collision        Yes  \n",
       "\n",
       "[5 rows x 33 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "6a51d709",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Records Available: 33\n",
      "Features Available : 15420\n"
     ]
    }
   ],
   "source": [
    "# Check the number of records and features available\n",
    "print(\"Records Available:\",df.shape[1])\n",
    "print(\"Features Available :\",df.shape[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "6c2549de",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "missing data:\n",
      "Month                   0\n",
      "WeekOfMonth             0\n",
      "DayOfWeek               0\n",
      "Make                    0\n",
      "AccidentArea            0\n",
      "DayOfWeekClaimed        0\n",
      "MonthClaimed            0\n",
      "WeekOfMonthClaimed      0\n",
      "Sex                     0\n",
      "MaritalStatus           0\n",
      "Age                     0\n",
      "Fault                   0\n",
      "PolicyType              0\n",
      "VehicleCategory         0\n",
      "VehiclePrice            0\n",
      "PolicyNumber            0\n",
      "RepNumber               0\n",
      "Deductible              0\n",
      "DriverRating            0\n",
      "Days:Policy-Accident    0\n",
      "Days:Policy-Claim       0\n",
      "PastNumberOfClaims      0\n",
      "AgeOfVehicle            0\n",
      "AgeOfPolicyHolder       0\n",
      "PoliceReportFiled       0\n",
      "WitnessPresent          0\n",
      "AgentType               0\n",
      "NumberOfSuppliments     0\n",
      "AddressChange-Claim     0\n",
      "NumberOfCars            0\n",
      "Year                    0\n",
      "BasePolicy              0\n",
      "FraudFound              0\n",
      "dtype: int64\n"
     ]
    }
   ],
   "source": [
    "# CHeck for any missing data  in the data set\n",
    "print(\"missing data:\")\n",
    "print(df.isnull().sum())"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5a78fc19",
   "metadata": {},
   "source": [
    "From my result, there is no missing data in the dataset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "df501281",
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1000x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Generate Pie chart\n",
    "plt.figure(figsize=(10,8))\n",
    "plt.pie(df.FraudFound.value_counts().values,labels=df.FraudFound.value_counts().index,  autopct='%.0f%%')\n",
    "plt.title(\"Fraud Type\")\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8de91927",
   "metadata": {},
   "source": [
    "The dataset exhibits significant imbalance as the target feature, detecting fraud, comprises only 6% of the total claims."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "7bfedf8e",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Set the Labels to 0 and 1\n",
    "df.loc[df['FraudFound'] == 'No','FraudFound'] = 0\n",
    "df.loc[df['FraudFound'] == 'Yes','FraudFound'] = 1\n",
    "\n",
    "df['FraudFound'] = df['FraudFound'].astype(int)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "f6608f38",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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++5Ik6667bn71q19VmW748OGpqKjIZZddVmX4fvvtl/XXX79uVuw7ev/993PYYYdl2WWXTdOmTdO1a9cMGDAgd999d7lLq3XlPvH75mevcePGWWqppbL55ptnxIgRmT17dllqKppvb79z/l577bVyl5Yk2WWXXfLKK6+Uu4xFUt/buL7YZ599st122801XIhTM/NrR74b7fndzdn3HXTQQXONO/jgg1NRUZF99tln8RdWz2in2qU9686ctj3rrLOqDL/llltSUVGR5Ptx3lYXvv2dZdlll80xxxyTqVOn1sry5/cDrYkTJ6Z///618h71RV235Q/dpEmTcuCBB6Zbt25p2rRpOnXqlC222CKPPvpouUurlxa1vX7o4fC8viN/86+uj9c/xO+ZAwYMyGabbTbPcY8++mgqKirSvHnzDBs2rMq44447LhUVFXNd19x0002z++6711m9teV7HXSMGDEihx12WB566KG8/fbbZatjxowZZXvvurDllltm4sSJmThxYu6+++40atQo22yzTZVpunbtmpEjR1YZdvPNN6dVq1ZVhvXt2zf33ntvlWH33XdfunbtOs/hffv2rcU1WTRvvfVWevfunXvuuSdnn312nnvuuYwePTp9+/bNIYccUra6vm+ft2+a89l76623cscdd6Rv3745/PDDs80222TmzJnlLq8Qvrn9zvnr0aNHjZczr8/Zonz2ZsyYkebNm6djx47feRn1RW218fTp0+ugOlj8fJZ/GLp27Zprrrkm06ZNqxz25Zdf5uqrr063bt3KWFn9op1qV121Z6lUqpNzy1mzZhXmBzrNmjXLsGHD8umnn85z/PflvK0uzDkXfOONN3L66afnwgsvzDHHHFOn79mpU6c0bdq0Tt+jHGqrLetqmy6yHXbYIc8880xGjRqVV155Jbfeemv69OmTTz75pNyl1Uv1qb2KeM3nm9+NzzvvvLRp06bKsD//+c/lLvF7Z7/99ss999yT//u//5tr3IgRI7LGGmtku+22q9Y12enTp+fRRx+tV9dk5+d7G3RMnTo11113XX71q19lm222yeWXX15l/K233pq11147zZo1y5JLLpntt9++ctxXX32VY489Nl27dk3Tpk2zwgorVPYumFcK+81ftiT/71cWI0aMqPylf6lUyujRo7PhhhtmiSWWSPv27bPNNtvk9ddfr7M2qCtz0utOnTpljTXWyHHHHZd33nknH374YeU0gwYNmutLx4gRIzJo0KAqy+rbt29efvnlTJw4sXLY/fffnxNOOKGy10eSvPPOO3njjTfq1UY155diTzzxRHbcccesuOKK6dmzZ4466qgqvVk++uij/OIXv0iLFi2ywgor5NZbb62ynBdffDFbbbVVWrVqlaWWWip77bVXPvrooyTJxRdfnB//+MdzfSHadtttK9tyfp+3t99+OwMHDkyrVq3Spk2b7Lzzzvnggw8WuE4jR47MKquskmbNmmXllVfOhRdeWDluzoXaNddcMxUVFenTp893brvvas5n78c//nHWWmut/PrXv84///nP3HHHHZXbeHXW+6yzzspSSy2V1q1bZ7/99suXX35ZZfzMmTMzZMiQym31uOOOy6BBg6r80rdUKuXss8/Osssum+bNm6dXr1654YYb6roJFtk3t985fw0bNsxtt92W3r17p1mzZll22WVz2mmnVfkyUFFRkYsuuigDBw5My5Ytc/rpp3/nfd2c3kHXXXdd+vTpk2bNmuWKK6743vzKZX5tfP/99+enP/1pmjZtms6dO+f444+v0sZ9+vTJoYcemqOOOipLLrlkNt988yTJv//976y44opp3rx5+vbtm7feeqtMa7b43XjjjenZs2eaNm2aZZZZJn/84x+rjF9mmWXy+9//Pvvuu29at26dbt265W9/+1uVaZ544omsueaaadasWdZee+2MGzeuyvhZs2Zlv/32S48ePdK8efOstNJKhTzRrs45xiOPPJI11lijsi3mnL/M6alXnXOc119/PQMHDsxSSy2VVq1aZZ111sldd91VZZ5lllkmp59+evbZZ5+0bds2BxxwQJ2s8+K0oGP1fffdlyZNmuTBBx+snP6Pf/xjllxyycrzm2WWWSbnnXdelWWuscYaOfXUUytfn3rqqZW/EuzSpUuGDBlS5+tVm9Zaa61069YtN910U+Wwm266KV27ds2aa65ZOWxhn9VTTz11nr/0m3Ocnzp1avbee++0atUqnTt3nmu/kCRXXHFF1l577bRu3TqdOnXK7rvvnkmTJtXdytdAddupOucZL7zwQrbeeuu0adMmrVu3zkYbbVSlLRd0XpcsfP+YLPiznyQ33HBDVltttTRv3jzt27fPZptttlh/bV1b7Tnnl5533nln1l577TRt2jQPPvhgZs+enWHDhmX55ZdP06ZN061bt5xxxhlV5vnmr0PHjx+fioqKymP1nP3q7bffnlVXXbVyuY0bN877779fZV2OPvrobLzxxnXQSt/NZpttlk6dOuXMM8+c5/hvHzOeeeaZ9O3bN61bt06bNm3Su3fvjB07Nknyf//3fxkwYEB+9KMfpWXLlunZs2f+/e9/V85bnXOkIUOG5Nhjj027du3SqVOnKvvP+mbOuWDXrl2z++67Z4899sgtt9ySr776KkOGDEnHjh3TrFmzbLjhhnnyyScr55vzmbr77ruz9tprp0WLFll//fXz8ssvJ/m6zU877bQ888wzc+0bv33rquOOOy4rrrhiWrRokWWXXTYnnXTSXBdHF3RNpL5Y1LasyTY9x5zrDi1atEivXr3m+sX+I488ko033jjNmzdP165dM2TIkML1Mvnf//6Xhx56KMOGDUvfvn3TvXv3/PSnP80JJ5yQrbfeOkly7rnnZrXVVkvLli3TtWvXHHzwwZkyZUrlMj7++OPstttuWXrppdOiRYusttpqufrqq+d6r5kzZ+bQQw+tPO7/5je/SalUWmzrWhsWtb3uu+++DB48OJ999lnltjtnHzav284tscQSldv2/L47z+mJfM4556Rz585p3759DjnkkHobgnzzu3Hbtm1TUVFRZdhVV12V5ZZbLk2aNMlKK62Uf/zjH5Xz7rvvvnP9uHrmzJnp1KlTRowYkSQL3Ce89dZbldcSf/SjH1XpQfJ9uU47L9tss006duw41/XwL774Itdee23222+/9O3bNw8//HDlMffzzz/PuHHjcvzxx1e5Jvv4449n2rRp9eqa7Px8b4OOa6+9NiuttFJWWmml7Lnnnhk5cmTlzvRf//pXtt9++2y99dYZN25c5YnEHHvvvXeuueaanH/++ZkwYUIuuuiiuXoiLMxrr72W6667LjfeeGPlBYSpU6fmqKOOypNPPpm77747DRo0yC9+8YvC/KpnXqZMmZIrr7wyyy+/fNq3b185vHfv3unRo0duvPHGJF8HFQ888ED22muvKvNvsMEGady4ceUG9OKLL2batGnZd999M3ny5Lz66qtJknvvvTdNmjSpN7eu+uSTTzJ69Ogccsghadmy5Vzjv3nSf9ppp2XnnXfOs88+m6222ip77LFHZeo/ceLEbLLJJlljjTUyduzYjB49Oh988EF23nnnJMlOO+2Ujz76qEqS+umnn+bOO+/MHnvsUTlsXp+37bbbLp988knuv//+jBkzJq+//np22WWX+a7TJZdckhNPPDFnnHFGJkyYkN///vc56aSTMmrUqCRffxlOkrvuuisTJ06s8oWynH7+85+nV69euemmm1IqlRa63tddd11OOeWUnHHGGRk7dmw6d+481xf/YcOG5corr8zIkSPz8MMPZ/LkyXOdfPzmN7/JyJEjM3z48Lzwwgs58sgjs+eee+b+++9fHKtdq+68887sueeeGTJkSF588cVcfPHFufzyy+c66T/llFMycODAPPfcc9l3332TLNq+7rjjjsuQIUMyYcKEbLHFFotlXcvl3XffzVZbbZV11lknzzzzTIYPH57LLrssp59+epXpRo0alUaNGuXhhx/OxRdfnHfeeSfbb799ttpqq4wfPz77779/jj/++DKtxeL11FNPZeedd86uu+6a5557LqeeempOOumkuU7U/vjHP1ZeoDv44IPzq1/9Ki+99FKSrz+L22yzTVZaaaU89dRTOfXUU+f6FeDs2bOz9NJL57rrrsuLL76Yk08+Ob/+9a9z3XXXLa5VrRUL2+4+//zzDBgwIKuttlqefvrp/O53v8txxx1X4/eZMmVKttpqq9x1110ZN25ctthiiwwYMGCunrN/+MMf8pOf/CRPPfVUTjrppFpZx3JZ2LF6zv2n99prr3z22Wd55plncuKJJ+aSSy5J586dq/UeN9xwQ/70pz/l4osvzquvvppbbrklq622Wl2uVp0YPHhwlR69I0aMqDxezLGwz+oxxxxT5Rd+55xzTlq0aFF5rj506NDce++9ufnmm/Of//wn9913X5566qkq7zF9+vT87ne/yzPPPJNbbrklb775Zr26hVF12mlh5xnvvvtuNt544zRr1iz33HNPnnrqqey7776VX1QXdl5Xnf3jwj77EydOzG677ZZ99903EyZMyH333Zftt99+sV/Aqo32nOPYY4/NmWeemQkTJmT11VfPCSeckGHDhuWkk07Kiy++mKuuuipLLbVUjer74osvcuaZZ+bSSy/NCy+8kLXXXjvLLrtslYs4M2fOzBVXXJHBgwd/hxaoGw0bNszvf//7XHDBBfnvf/+70On32GOPLL300nnyySfz1FNP5fjjj0/jxo2TJIcccki++uqrPPDAA3nuuecybNiwyu/XNTlHatmyZR5//PGcffbZ+e1vf5sxY8bU/orXgebNm2fGjBk59thjc+ONN2bUqFF5+umns/zyy2eLLbaY6xfhJ554Yv74xz9m7NixadSoUeXneZdddsnRRx+dnj17Vu4j5/f9rnXr1rn88svz4osv5s9//nMuueSS/OlPf6ocv7BrIvVVTdvyu2zTJ554Yo455piMHz8+K664YnbbbbfKfetzzz2XLbbYIttvv32effbZXHvttXnooYdy6KGHLrY2qA2tWrVKq1atKkOjeWnQoEHOP//8PP/88xk1alTuueeeHHvssZXjv/zyy/Tu3Tu33357nn/++fzyl7/MXnvtlccff7zKcuZ8v3n88cdz/vnn509/+lMuvfTSOl2/2rao7bX++uvP1Yuhpj2T5vXd+d57783rr7+ee++9N6NGjcrll18+13elIrj55ptz+OGH5+ijj87zzz+fAw88MIMHD668Drb//vtn9OjRVX4g/e9//ztTpkypPCdZ0D6ha9euldcm5/zQes4P276P12nnaNSoUfbee+9cfvnlVc7Nrr/++kyfPj177LFH+vbtmylTplSGQg8++GBWXHHF7LjjjnnyySfzxRdfJPn6s7b00ktn+eWXL8u61Ejpe2r99dcvnXfeeaVSqVSaMWNGackllyyNGTOmVCqVSuutt15pjz32mOd8L7/8cilJ5bTfNnLkyFLbtm2rDLv55ptL32zKU045pdS4cePSpEmTFljjpEmTSklKzz33XHVXq+wGDRpUatiwYally5alli1blpKUOnfuXHrqqacqp0lSuvnmm0vnnXdeqW/fvqVSqVQ67bTTSr/4xS9Kn376aSlJ6d57762cfv311y/98pe/LJVKpdJf//rX0lZbbVUqlUqlLbfcsvS3v/2tVCqVSoMHDy5ttNFGi2ktF+7xxx8vJSnddNNNC5wuSek3v/lN5espU6aUKioqSnfccUepVCqVTjrppFK/fv2qzPPOO++UkpRefvnlUqlUKm277balfffdt3L8xRdfXOrUqVNp5syZpVJp3p+3//znP6WGDRuW3n777cphL7zwQilJ6Yknnqicr1evXpXju3btWrrqqquq1PK73/2utN5665VKpVLpzTffLCUpjRs3boHrXFcGDRpUGjhw4DzH7bLLLqVVVlmlWuu93nrrlQ466KAq8//sZz+r0hZLLbVU6Q9/+EPl65kzZ5a6detW+f5TpkwpNWvWrPTII49UWc5+++1X2m233RZhLevWt7ffli1blnbcccfSRhttVPr9739fZdp//OMfpc6dO1e+TlI64ogjqkzzXfd1cz5Lc/bRc8xr/1o082vjX//616WVVlqpNHv27Mpp//rXv5ZatWpVmjVrVqlUKpU22WST0hprrFFleSeccEJplVVWqTLfcccdV0pS+vTTTxfLOtWFebVTy5YtS82aNatct9133720+eabV5lv6NChpVVXXbXydffu3Ut77rln5evZs2eXOnbsWBo+fHipVPp6f9muXbvS1KlTK6cZPnz4QvdlBx98cGmHHXaopbWtOwvaL357uxs+fHipffv2pWnTplVOc8kll1Rpi+qc48zLqquuWrrgggsqX3fv3r203Xbb1XyFymx+7VmdY/VXX31VWnPNNUs777xzqWfPnqX999+/yvTdu3cv/elPf6oyrFevXqVTTjmlVCqVSn/84x9LK664Ymn69Om1tj6L05y2+/DDD0tNmzYtvfnmm6W33nqr1KxZs9KHH35YGjhwYGnQoEHznHdB58OPPvpoqVmzZqVrr722VCqVSp9//nmpSZMmpWuuuaZymo8//rjUvHnz0uGHHz7f+p544olSktLnn3++SOu5qKrbTtU5zzjhhBNKPXr0mO9nZmHnddXZPy7ss//UU0+VkpTeeuutRWqX76o22/Pee+8tJSndcsstleMnT55catq0aemSSy6Z5/vPmeebx+Nx48aVkpTefPPNUqn09X41SWn8+PFV5h02bFhplVVWqXx9yy23lFq1alWaMmXKojRJrfnm/nDdddet/C7yzWPCt48ZrVu3Ll1++eXzXN5qq61WOvXUU+c5rrrnSBtuuGGV+dZZZ53Scccd953Wry59+1jy+OOPl9q3b1/acccdS40bNy5deeWVleOmT59e6tKlS+nss88ulUr/7zN11113VU7zr3/9q5Sk8vj97e9wc8z5Dj4/Z599dql3796Vrxd0TaS+qI22rMk2Pec7yqWXXlo5bM53yQkTJpRKpVJpr732qrx2MceDDz5YatCgQZVzrCK44YYbSj/60Y9KzZo1K62//vqlE044ofTMM8/Md/rrrruu1L59+wUuc6uttiodffTRla832WSTeX6X+eb+rygWtb3m9113Xttu27ZtSyNHjiyVSvP/7jxo0KBS9+7dK68LlUql0k477VTaZZddar5yi9m322L99dcvHXDAAVWm2WmnnSqvDZZKX3/fGDZsWOXr7bbbrrTPPvuUSqWvr89Ud5+wsO/QRbxOuyATJkwoJSndc889lcM23njjKtetfvzjH1deDxo6dGjp4IMPLpVKpdLKK69c+s9//lMqlUqlvn37lvbaa6/FWPl3973s0fHyyy/niSeeyK677prk6xRrl112qezSNH78+Gy66abznHf8+PFp2LBhNtlkk0WqoXv37unQoUOVYa+//np23333LLvssmnTpk3lrYDK+fyQ76Jv374ZP358xo8fn8cffzz9+vVL//7957rv25577plHH300b7zxRi6//PK5fln1zeXN6dFx3333Vd4SaZNNNqky/Oc//3ldrVKNlf7/NPSbt/OYn9VXX73y3y1btkzr1q0rb5/w1FNP5d577638hUCrVq2y8sorJ0lld7k99tgjN954Y+UvB6688srsuuuuadiwYeVyv/15mzBhQrp27ZquXbtWDlt11VWzxBJLZMKECXPV+OGHH+add97JfvvtV6WW008/vRDd9kqlUioqKqq13hMmTMh6661XZf5vvv7ss8/ywQcf5Kc//WnlsIYNG6Z3796Vr1988cV8+eWX2Xzzzau019///vd6317f3H7Hjx+f888/P0899VR++9vfVlmXAw44IBMnTqxM8JPM81dei7KvK8Kvxr6LebXxnM/dN/cZG2ywQaZMmVLlV5LfbpMJEyZk3XXXrTLftz+/RfXtdho/fnyVX3dNmDAhG2ywQZV5Nthgg7z66quZNWtW5bBv7mPndIGes4+dMGFCevXqlRYtWlROM6/2u+iii7L22munQ4cOadWqVS655JLCHZsXtt29/PLLWX311dOsWbPKeb65n6uuqVOn5thjj63ct7Zq1SovvfTS93r7rs6xukmTJrniiity4403Ztq0aXPdpmphdtppp0ybNi3LLrtsDjjggNx8882FvJf4kksuma233jqjRo3KyJEjs/XWW2fJJZesMk11jxFvv/12tttuuxxzzDGVv9Z7/fXXM3369Crbcbt27bLSSitVmXfcuHEZOHBgunfvntatW1eeW9aX7Xph7VSd84zx48dno402qvzF/DdV57yuOvvHhX32e/XqlU033TSrrbZadtppp1xyySXzfZ5DXaqN9pzjm/uuCRMm5Kuvvprv98bqatKkSZVjVfL1Q5Zfe+21ytvdjhgxIjvvvPM8e4qX27BhwzJq1Ki8+OKLC5zuqKOOyv7775/NNtssZ511VpW2HTJkSE4//fRssMEGOeWUU/Lss89WjqvuOdK327Bz58715pZ033b77benVatWadasWdZbb71svPHGOeywwzJjxowq5zaNGzfOT3/607m+n31zXef0DKzput5www3ZcMMN06lTp7Rq1SonnXRSlX3ggq6J1CeL2pbfZZteUPs/9dRTufzyy6vsS7bYYovMnj07b7755iKv7+K0ww475L333sutt96aLbbYIvfdd1/WWmutyh4B9957bzbffPP8+Mc/TuvWrbP33nvn448/rrxN16xZs3LGGWdk9dVXT/v27dOqVav85z//metYO6/vMt8+ny+CRW2vRTWvc+uePXtWuS5Un/eLCzK/733f3J7333//yt6bkyZNyr/+9a/Ka4yvv/56tfcJ3/Z9uU47PyuvvHLWX3/9yuvhr7/+eh588MEq12f79OmzwGuyX331VR577LF6dU12QRqVu4C6cNlll2XmzJn58Y9/XDmsVCqlcePG+fTTT9O8efP5zrugccnX3dFK3+qOPa974M3rJHXAgAHp2rVrLrnkknTp0iWzZ8/OT37yk8I9pLNly5ZVuiv17t07bdu2zSWXXFKli/Gc+9vNeQZC//798/nnn8+1vL59++aMM87Iu+++m/vvv7+yC98mm2ySCy64IG+//XbefPPNenUvuBVWWKHywvo3n9swL9/+AlpRUVHZDW727NkZMGBAhg0bNtd8c06qBgwYkNmzZ+df//pX1llnnTz44IM599xzq0z77c/bnAv/3za/4XPqueSSS/Kzn/2syrhvHjjrqwkTJqRHjx41Xu8F+fb039zu57TXv/71ryr7mST1/iGA395+k6/X57TTTpvnfXm/eVF0Xvu1RdnX1ccv87VhXm08r8/gvALTeW3L31fzaqdvXtBYUJt904L2sdVpv+uuuy5HHnlk/vjHP2a99dZL69at84c//GGubvf13cK2u+q0Z3XOcYYOHZo777wz55xzTpZffvk0b948O+644/d6+67OsTr5+p7dyde3t/zkk0+qtMHC2rZr1655+eWXM2bMmNx11105+OCD84c//CH333//PC9k12f77rtv5S08/vrXv841vjrHiKlTp2bbbbfNeuutl9/+9reVw6uzTU+dOjX9+vVLv379csUVV6RDhw55++23s8UWW9Src+4FtVN1zjMW9J2lOud11WnLhX32/7/27jwoijPvA/h3EAZGLpVDUZHDAYFFNMQDTwoPUFe8QVQUBQ9EWK8gvt4GDVk3qHEQrywiFi7lmcQjikrYUvHCREK8YwSycUmMshgUj2Ge948UU7YMMCoqmO+naqqg+5k+nul++jm6+9eoUSMcPXoUOTk5yMzMhEqlwsKFC3H27FltR8Gb8qr5WenZ81afdiEgzUtd7UKFQlGl/LW1tUVgYCC2bt0KZ2dnHDp0SPIu7Pqkd+/eCAgIwIIFC2p8BdyyZcswduxYHDx4EF999RWWLl2KjIwMDB8+HJMnT0ZAQAAOHjyIzMxMJCQkIDExETExMXrXkWq63tc3fn5+2LBhA4yMjNCyZUsYGRkhLy8PgO42xvPTnt3Xynkvsq9nzpxBSEgIli9fjoCAAFhaWiIjI0MS06i247u+eNW8fJFzulJN+a/RaDBt2jSdcbTatGmj1/LrExMTE/Tv3x/9+/fHkiVLMHnyZCxduhR+fn4YNGgQIiMjER8fj2bNmuHkyZOIiIjQlnOJiYlYs2YN1q5dq41NMWvWrHp1ra1rr5Jf1ZHJZC/dx9iQysXa1HY+T5gwAfPnz8fp06dx+vRpODo6olevXtq0+ixDl3eln7YmERERiI6Oxvr167F161Y4ODhIBnz9/Pwwc+ZM3L17F99++602Xlhln6y/v3+Dic8BvIMxOtRqNdLS0pCYmCi5SzQvLw8ODg5IT0+Hl5cXjh8/rvP77du3h0ajqfY9+zY2Nvj9998lo7KV76Wvyd27d3HlyhUsWrQIffv2hbu7+1u54+l1kMlkMDAwkAQerxQeHo7s7GxMmDCh2g7z7t27w9jYGMnJySgvL9feOd+pUyeUlpZi06ZNMDExgY+Pz2vdjxfRrFkzBAQEYP369TpH6J8NSlgTb29vXLp0CY6OjlAqlZJP5YVMoVBgxIgRSE9Px7/+9S+4urpKni7QxcPDA0VFRfjpp5+00y5fvozS0lK4u7tXSd+8eXO0atUKP/74Y5XtqGyoyuVyAKh3d15kZWUhPz8fI0eO1Gu/3d3dJcHiAUj+t7S0RPPmzbUxSYA/9vnZAJ2VwSSLioqq5NezT5M0FN7e3rh27VqVfVEqldpGvL7e5bLuVXh4eCAnJ0dSic3JyYG5uXmVTpfnv1fT8fou8/DwwMmTJyXTcnJy4OrqqvcArIeHB/Ly8iTXp+fz78SJE+jevTuioqLw3nvvQalU1vsns56nz3nn5uaG7777TvJe4cogsZX0qeOcOHECEydOxPDhw9G+fXu0aNFCG3T3XaXPtfrmzZuYPXs2tmzZAh8fH0yYMEHS0LSxsZG8V/j+/ftV7vxUKBQYMmQI1q1bh+zsbJw+fRr5+flvZifr0IABA/DkyRM8efKkSvwlfY5VIQRCQ0Oh0Wiwfft2SQNVqVTCyMhIch6XlJTg+vXr2v+vXr2K3377DR9//DF69eoFNze3enl3Y035pE89w8vLCydOnNDZGaJPvU6f8lGfY18mk6FHjx5Yvnw5vv32W8jlcuzbt69O80ofr5qfuri4uEChUFTbbqx8ovXZc1ufdmGlyZMnIyMjA5s2bULbtm2r3M1anyQkJGD//v3aAd3quLq6Yvbs2cjMzMSIESMksVPs7e0RGRmJvXv3Yu7cudiyZQuAl68j1WeVN3M4ODhoOyKVSiXkcrmkbvP06VPk5ubqbJ9VRy6X19oeO3XqFBwcHLBw4UJ06tQJLi4uVd6+UFOfSH1Sl3lZ2zmtj8pyUVe7qbK93JB5eHjgwYMHyM3NhVqtRmJiInx8fODq6orbt29L0p44cQJDhw5FaGgoOnToAGdnZ22M1Wfpasu4uLg0iBsqa/Mi+VXduft8HfHGjRuStyr8Gbi7u+ts9z17PltZWWHYsGHYunUrtm7dKolppU+ZoKs/68/SdxEcHIxGjRphx44d2LZtGyZNmiSpX/v5+eHBgwdYvXo1XFxctHGLfH19kZubi4MHD8LJyQkODg5vaxdeyDv3RMeBAwdQUlKCiIgIWFpaSuaNGjUK//znP7FmzRr07dsXbdu2RUhICNRqNb766ivMmzcPjo6OCAsLQ3h4ONatW4cOHTqgsLAQv/76K4KDg9G1a1c0btwYCxYsQExMDM6dO6dXsJ+mTZvCysoKmzdvhp2dHYqKihpsQNnHjx+juLgYwB+Ny6SkJJSVlSEwMLBK2gEDBuDOnTuwsLCodnkKhQJdu3aFSqVCjx49tBc8IyMjdOvWDSqVSjsYUp8kJyeje/fu6NKlCz788EN4eXlBrVbj6NGj2LBhQ62PyAF/BObbsmULxowZg9jYWFhbW+OHH35ARkYGtmzZos2LcePGITAwEJcuXUJoaGity+3Xrx+8vLwwbtw4rF27Fmq1GlFRUfD19a32dSLLli3D3/72N1hYWGDgwIF4/PgxcnNzUVJSgjlz5sDW1hYKhQKHDx9G69atYWJiUuUce90qj72Kigr88ssvOHz4MBISEjB48GBMmDABBgYGte73zJkzERYWhk6dOqFnz55IT0/HpUuX4OzsrF1PTEwMEhISoFQq4ebmBpVKhZKSEu3FwNzcHB988AFmz54NjUaDnj174v79+8jJyYGZmRnCwsLeaL68qiVLlmDw4MGwt7dHUFAQDAwM8N133yE/P79KIMjavEtlXV2KiorC2rVrERMTg+joaFy7dg1Lly7FnDlzahxMioyMRGJiIubMmYNp06ZpH5f/M5g7dy46d+6M+Ph4jB49GqdPn0ZSUhKSk5P1XsbYsWOxcOFCREREYNGiRSgoKMAnn3wiSaNUKpGWloYjR47AyckJ27dvx/nz59/43civQp/zrjIvpk6divnz56OoqEibF5Vlmz51HKVSib179yIwMBAymQyLFy9usHeO6VJaWlqlo3LatGk1XqsBYPz48fD398ekSZMwcOBAtG/fHomJiYiNjQUA9OnTB6mpqQgMDETTpk2xePFiSQM/NTUVFRUV2t9g+/btUCgUDaZB8axGjRpp60DPd2Loc6wuW7YMx44dQ2ZmJsrKylBWVgbgjxsRzMzMEBERgdjYWFhZWaF58+ZYuHChpBxt06YN5HI5VCoVIiMj8f333yM+Pv417/WLqymf9KlnREdHQ6VSISQkBP/3f/8HS0tLnDlzBl26dEG7du1qrdfpUz7WVk/Nzc3F8ePH4e/vD1tbW5w9exZ37tx5oU7buvKq+amLiYkJ4uLiMG/ePMjlcvTo0QN37tzBpUuXEBERoR0oWbZsGVasWIEbN25I7pivTeWd9itWrJA8uVQfVdavVSqVzvnl5eWIjY3FqFGj4OTkhP/85z84f/48Ro4cCQCYNWsWBg4cCFdXV5SUlCArK0t7nLxsHamhMTU1xfTp0xEbG4tmzZqhTZs2WLVqFR4+fIiIiAi9l+Po6Ihbt27h4sWLaN26NczNzau0k5VKJYqKipCRkYHOnTvj4MGDVQYgly5dWm2fSH33snlZ2zmtj7i4OPj4+GDGjBmYMmUKTE1NceXKFRw9erTa86M+unv3LoKCghAeHg4vLy+Ym5sjNzcXq1atwtChQ9G2bVuo1WqoVCoEBgbi1KlT2Lhxo2QZSqUSe/bsQU5ODpo2bYrVq1ejuLi4yjXgp59+0rZlvvnmG6hUqhcqK+uDusgvR0dHlJWV4fjx49pXRzZu3Bh9+vRBUlISfHx8oNFoEBcX1+Ce5n1VsbGxCA4Ohre3N/r27Yv9+/dj7969OHbsmCTd5MmTMXjwYFRUVEiu3fqUCQ4ODpDJZDhw4AAGDRoEhULxp+m7MDMzw+jRo7FgwQKUlpZWeTrT2dkZbdq0gUqlwrhx47TTW7ZsCQcHB2zcuBFBQUFveKtfwWuPAvKGDR48WBKw5lmVAfMuXLgg9uzZIzp27CjkcrmwtrYWI0aM0KYrLy8Xs2fPFnZ2dkIulwulUilSUlK08/ft2yeUSqUwMTERgwcPFps3b64SjFxXgLCjR48Kd3d3YWxsLLy8vER2dnatQcPqm7CwMAFA+zE3NxedO3cWu3fv1qapaZ90BSMX4o88AyA+/vhjyfT4+HgBQMTHx9f1rtSJ27dvixkzZggHBwchl8tFq1atxJAhQ7T7pysvng0sJYQQ169fF8OHDxdNmjQRCoVCuLm5iVmzZkkCdqnVamFnZycAiJs3b0qWV93xVlhYKIYMGSJMTU2Fubm5CAoKEsXFxTV+Lz09XXteNG3aVPTu3VsScH3Lli3C3t5eGBgYCF9f3xfKq1f17LFnaGgobGxsRL9+/URKSoo2UKEQte+3EEKsXLlSWFtbCzMzMxEWFibmzZsnyYunT5+K6OhoYWFhIZo2bSri4uJEUFCQCAkJ0abRaDTi008/Fe3atRNGRkbCxsZGBAQEiH//+9+vPS9eVk2Biw8fPiy6d+8uFAqFsLCwEF26dBGbN2/Wztd1LL9sWVddYPt3JRh5dXmcnZ0tOnfuLORyuWjRooWIi4sTT58+1c739fXVGUx3//79QqlUCmNjY9GrVy+RkpLyTgQj15VPzweJ2717t/Dw8BBGRkaiTZs24h//+IckfW0BnoX4I5hxhw4dhFwuFx07dhR79uyRHH+PHj0SEydOFJaWlqJJkyZi+vTpYv78+TqP7fpm/Pjx2qDp+tQxTp06Jby8vIRcLhfvv/++2LFjhwAgrl69qk1TWx3n1q1bws/PTygUCmFvby+SkpKqHLu6fpeG4Pk6TuUnLCysxmv18uXLhZ2dnfjtt9+0y/r888+FXC7XHmelpaUiODhYWFhYCHt7e5Gamio5Vvft2ye6du0qLCwshKmpqfDx8ZEEo63vair7hBCSYOS1Hau+vr46f4fKutPvv/8uQkNDRePGjUXz5s3FqlWrqhyDO3bsEI6OjsLY2Fh069ZNfPnllzqvO2/ai+STPvWMvLw84e/vLxo3bizMzc1Fr169JPXE2up1tZWPQtRcT718+bIICAgQNjY2wtjYWLi6ugqVSlVn+VWbuszP6oKUVlRUiBUrVggHBwfttagyYKcQQpw8eVK0b99emJiYiF69eoldu3ZVCUZeU91m8eLFolGjRuL27dsvkwWvja68LSgoEMbGxjqDkT9+/FiEhIQIe3t7IZfLRcuWLUV0dLQ2OHN0dLRo27atMDY2FjY2NmL8+PGSMvNl6kjP/r71SU3HZXl5uYiJiRHW1tbC2NhY9OjRQ5w7d047X58A948ePRIjR44UTZo0kZSNz1/zY2NjhZWVlTAzMxOjR48Wa9asqXIs1tQnUh/UdV4KUfM5rauNoqv/4ty5c6J///7CzMxMmJqaCi8vL7Fy5cq62u034tGjR2L+/PnC29tbWFpaisaNG4t27dqJRYsWiYcPHwohhFi9erWws7MTCoVCBAQEiLS0NEme3r17VwwdOlSYmZkJW1tbsWjRIjFhwgTJb+br6yuioqJEZGSktm09f/58SV9HQ1AX+SWEEJGRkcLKykoA0NYBf/75Z+Hv7y9MTU2Fi4uLOHTokM5g5M/XYXSdHzNnznzj/TQvQ9e1MTk5WTg7OwsjIyPh6uoq0tLSqnxPo9EIBwcHnX2+tZUJQgjx4YcfihYtWgiZTKZ3vfRdkZOTIwAIf39/nfMr20EZGRmS6REREQKA2L59+5vYzDohE+IdfgE4EVEd0Gg0cHd3R3BwcL28K5SI/pwGDBgApVKJpKSkl/p+eno6Jk2ahNLS0gbzrm4ionfJlClT8Msvv+DLL79825tCRERUrz18+BAtW7ZESkqKzviiRMA7+OoqIqJXVVhYiMzMTPj6+uLx48dISkrCrVu3MHbs2Le9aUREKCkpQU5ODrKzsxEZGan399LS0uDs7IxWrVohLy8PcXFxCA4O5iAHEdEbVlpaivPnzyM9PR1ffPHF294cIiKiekuj0aC4uBiJiYmwtLTEkCFD3vYmUT3GgQ4ioucYGBggNTUVH3zwAYQQ8PT0xLFjx97KO6eJiJ4XHh6O8+fPY+7cuRg6dKje3ysuLsaSJUtQXFwMOzs7BAUFYeXKla9xS4mISJehQ4fi3LlzmDZtGvr37/+2N4eIiKjeKioqgpOTE1q3bo3U1FQYGrIrm6rHV1cREREREREREREREVGDZfC2N4CIiIiIiIiIiIiIiOhlcaCDiIiIiIiIiIiIiIgaLA50EBERERERERERERFRg8WBDiIiIiIiIiIiIiIiarA40EFERERERERERERERA0WBzqIiIiIiOidNHHiRAwbNuxtbwYREREREb1mHOggIiIiIiKdiouLERMTA2dnZxgbG8Pe3h6BgYE4fvx4na+roKAAMpkMhoaG+PnnnyXz/vvf/8LQ0BAymQwFBQV1vm4iIiIiImrYONBBRERERERVFBQU4P3330dWVhZWrVqF/Px8HD58GH5+fpgxY8ZLL7eiogIajaba+S1btkRaWppk2rZt29CqVauXXicREREREb3bONBBRERERERVREVFQSaT4dy5cxg1ahRcXV3xl7/8BXPmzMGZM2e06VavXo327dvD1NQU9vb2iIqKQllZmXZ+amoqmjRpggMHDsDDwwPGxsYoLCysdr1hYWHYunWrZFpqairCwsIk0yoqKhAREQEnJycoFAq0a9cOn376aY37dOHCBdja2mLlypUAgNLSUkydOhW2trawsLBAnz59kJeXp3ceERERERFR/cCBDiIiIiIikrh37x4OHz6MGTNmwNTUtMr8Jk2aaP82MDDAunXr8P3332Pbtm3IysrCvHnzJOkfPnyIhIQEfPbZZ7h06RJsbW2rXfeQIUNQUlKCkydPAgBOnjyJe/fuITAwUJJOo9GgdevW2LlzJy5fvowlS5ZgwYIF2Llzp87lZmdno2/fvli+fDkWLlwIIQT++te/ori4GIcOHcKFCxfg7e2Nvn374t69e/pmFRERERER1QOGb3sDiIiIiIiofvnhhx8ghICbm1utaWfNmqX928nJCfHx8Zg+fTqSk5O1058+fYrk5GR06NCh1uUZGRkhNDQUKSkp6NmzJ1JSUhAaGgojI6Mq6ZYvXy5Zd05ODnbu3Ing4GBJ2i+++ALjx4/Hpk2bMGbMGADA119/jfz8fPz6668wNjYGAHzyySf4/PPPsXv3bkydOrXWbSUiIiIiovqBAx1ERERERCQhhAAAyGSyWtN+/fXX+Oijj3D58mXcv38farUajx49woMHD7RPg8jlcnh5eem9/oiICHTr1g0fffQRdu3ahdOnT0OtVldJt3HjRnz22WcoLCxEeXk5njx5go4dO0rSnD17FgcOHMCuXbswfPhw7fQLFy6grKwMVlZWkvTl5eW4efOm3ttKRERERERvH19dRUREREREEi4uLpDJZLhy5UqN6QoLCzFo0CB4enpiz549uHDhAtavXw/gj6c4KikUCr0GTSp5enrCzc0NY8aMgbu7Ozw9Pauk2blzJ2bPno3w8HBkZmbi4sWLmDRpEp48eSJJ17ZtW7i5uSElJUUyT6PRwM7ODhcvXpR8rl27htjYWL23lYiIiIiI3j4OdBARERERkUSzZs0QEBCA9evX48GDB1Xm/+9//wMA5ObmQq1WIzExET4+PnB1dcXt27frZBvCw8ORnZ2N8PBwnfNPnDiB7t27IyoqCu+99x6USqXOJzGsra2RlZWFmzdvYvTo0doBGG9vbxQXF8PQ0BBKpVLysba2rpN9ICIiIiKiN4MDHUREREREVEVycjIqKirQpUsX7NmzBzdu3MCVK1ewbt06dOvWDcAfT0uo1WqoVCr8+OOP2L59OzZu3Fgn658yZQru3LmDyZMn65yvVCqRm5uLI0eO4Pr161i8eDHOnz+vM62trS2ysrJw9epVjBkzBmq1Gv369UO3bt0wbNgwHDlyBAUFBcjJycGiRYuQm5tbJ/tARERERERvBgc6iIiIiIioCicnJ3zzzTfw8/PD3Llz4enpif79++P48ePYsGEDAKBjx45YvXo1/v73v8PT0xPp6elISEiok/UbGhrC2toahoa6wwpGRkZixIgRGD16NLp27Yq7d+8iKiqq2uW1aNECWVlZyM/Px7hx46DRaHDo0CH07t0b4eHhcHV1RUhICAoKCtC8efM62QciIiIiInozZKIy0iAREREREREREREREVEDwyc6iIiIiIiIiIiIiIioweJABxERERERERERERERNVgc6CAiIiIiIiIiIiIiogaLAx1ERERERERERERERNRgcaCDiIiIiIiIiIiIiIgaLA50EBERERERERERERFRg8WBDiIiIiIiIiIiIiIiarA40EFERERERERERERERA0WBzqIiIiIiIiIiIiIiKjB4kAHERERERERERERERE1WBzoICIiIiIiIiIiIiKiBuv/ATJe4svEdH1QAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 2000x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "make = df.groupby('Make')['FraudFound'].sum()\n",
    "plt.figure(figsize=(20,8))\n",
    "plt.title(\"Car Make Vs Frauds\")\n",
    "\n",
    "ax = sns.barplot(x=make.index,y=make.values)\n",
    "for p in ax.patches:\n",
    "    ax.annotate(str(format(int(p.get_height()), ',d')), (p.get_x()+0.24, p.get_height()*1.01))\n",
    "plt.xlabel(\"Car Make\")\n",
    "plt.ylabel(\"Number of Fraud\");\n",
    "plt.yticks([])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "faac47ea",
   "metadata": {},
   "source": [
    "From the plot above, we found that the majority of fraudulent cases were discovered in Pontiac, while none were identified in Jaguar, Lexus, Porsche, and Ferrari."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "a07cc870",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 2000x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot of car make\n",
    "plt.figure(figsize=(20,8))\n",
    "plt.title(\"Car Make Count\")\n",
    "\n",
    "ax = sns.countplot(x=df['Make'])\n",
    "for p in ax.patches:\n",
    "    ax.annotate(str(format(int(p.get_height()), ',d')), (p.get_x()+0.24, p.get_height()*1.01))\n",
    "plt.xlabel(\"Car Make\")\n",
    "plt.ylabel(\"Count of Cars\");\n",
    "plt.yticks([])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "59000089",
   "metadata": {},
   "source": [
    "The absence of Fraud Claims for Jaguar, Lexus, Porsche, and Ferrari can be attributed to the lower number of cars from these brands involved in accidents, whereas Pontiac has a higher incidence of such claims due to a greater number of accidents involving their vehicles."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "d7976433",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 2000x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Plot of policy holder in ralation to Fraud\n",
    "policyAge = df.groupby('AgeOfPolicyHolder')['FraudFound'].sum()\n",
    "plt.figure(figsize=(20,8))\n",
    "plt.title(\"Policy Holder's Age Vs Frauds\")\n",
    "\n",
    "ax = sns.barplot(x=policyAge.index,y=policyAge.values)\n",
    "for p in ax.patches:\n",
    "    ax.annotate(str(format(int(p.get_height()), ',d')), (p.get_x()+0.24, p.get_height()*1.01))\n",
    "plt.xlabel(\"Policy Holder's Age\")\n",
    "plt.ylabel(\"Number of Fraud\");\n",
    "plt.yticks([])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4f363a3c",
   "metadata": {},
   "source": [
    "The majority of observed fraudulent activities occur within the 31-35 age range, with the fewest instances occurring in the 18-20 age group."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "f5073fc0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Plot of gender to fraud \n",
    "gender = df.groupby('Sex')['FraudFound'].sum()\n",
    "plt.figure(figsize=(10,8))\n",
    "plt.title(\"Gender Vs Frauds\")\n",
    "\n",
    "plt.pie(gender.values,labels=gender.index,  autopct='%.0f%%')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4caa6f36",
   "metadata": {},
   "source": [
    "from the result above, we can see that Men engage in more fraudulent activities compared to women."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "5694dfd7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "accidentArea = df.groupby('AccidentArea')['FraudFound'].sum()\n",
    "\n",
    "plt.figure(figsize=(10,8))\n",
    "plt.title(\"AccidentArea Vs Frauds\")\n",
    "\n",
    "plt.pie(accidentArea.values,labels=accidentArea.index,  autopct='%.0f%%')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a8aba361",
   "metadata": {},
   "source": [
    "From the graph above, there is Increased Incidents of Fraud in Urban Regions than rural areas.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "b10d1518",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fault = df.groupby('Fault')['FraudFound'].sum()\n",
    "\n",
    "plt.figure(figsize=(10,8))\n",
    "plt.title(\"Fault Vs Frauds\")\n",
    "plt.pie(fault.values,labels=fault.index,  autopct='%.0f%%')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1d62dabf",
   "metadata": {},
   "source": [
    "Certainly, policyholders are more frequently involved in committing fraud."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "a2aaff8b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2000x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cars = df.groupby('NumberOfCars')['FraudFound'].sum()\n",
    "plt.figure(figsize=(20,8))\n",
    "plt.title(\"Cars Involved Vs Frauds\")\n",
    "\n",
    "ax = sns.barplot(x=cars.index,y=cars.values)\n",
    "for p in ax.patches:\n",
    "    ax.annotate(str(format(int(p.get_height()), ',d')), (p.get_x()+0.4, p.get_height()*1.01))\n",
    "plt.xlabel(\"Cars Involved\")\n",
    "plt.ylabel(\"Number of Fraud\");\n",
    "plt.yticks([])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ff38341b",
   "metadata": {},
   "source": [
    "Instances of fraudulent activities tend to increase when there is only one vehicle implicated in the situation.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "a34068e2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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zUa9ePWPp0qXGtGnTjKt/VUhPTzeeeOIJw9fX13B1dTW6d+9uHDt2LN+sfYZhGJ9++qnRsGFDw8nJyQgMDDRmzZqVb5/r1683unTpYlStWtVwcnIyKleubNx///3GN998c93zBYCSZjGMO+TR8QAAAADwN+EeKQAAAAAwiSAFAAAAACYRpAAAAADAJIIUAAAAAJhEkAIAAAAAkwhSAAAAAGASD+SVlJeXp1OnTsnd3d3mqe4AAAAAyhbDMHTu3Dn5+/vLzu7a404EKUmnTp1SQEBASZcBAAAAoJQ4ceKEqlWrds31BClJ7u7ukv56szw8PEq4GgAAAAAlJSMjQwEBAdaMcC0EKcl6OZ+HhwdBCgAAAMANb/lhsgkAAAAAMIkgBQAAAAAmEaQAAAAAwCSCFAAAAACYRJACAAAAAJMIUgAAAABgEkEKAAAAAEwiSAEAAACASQQpAAAAADCJIAUAAAAAJhGkAAAAAMAkghQAAAAAmESQAgAAAACTCFIAAAAAYBJBCgAAAABMcijpAgDcmY6/EFrSJaCMCJy6v6RLAACUQYxIAQAAAIBJBCkAAAAAMIkgBQAAAAAmEaQAAAAAwCSCFAAAAACYRJACAAAAAJMIUgAAAABgEkEKAAAAAEwiSAEAAACASQQpAAAAADCJIAUAAAAAJhGkAAAAAMAkghQAAAAAmESQAgAAAACTCFIAAAAAYBJBCgAAAABMIkgBAAAAgEkEKQAAAAAwqcSD1P/+9z899thj8vHxUfny5dW4cWMlJiZa1xuGoenTp8vf318uLi4KDw/XgQMHbPaRnZ2tkSNHqmLFinJ1dVWPHj108uTJv/tUAAAAAJQRJRqk0tLS1LZtWzk6OuqLL77QwYMH9eqrr6pChQrWPnPmzNG8efP0+uuvKyEhQX5+foqMjNS5c+esfaKiorR27VrFxcVp+/btOn/+vLp166bc3NwSOCsAAAAAdzqLYRhGSR180qRJ2rFjh7755psC1xuGIX9/f0VFRWnixImS/hp98vX11ezZszVs2DClp6erUqVKWrlypfr27StJOnXqlAICAvT555+rU6dO+fabnZ2t7Oxs6+uMjAwFBAQoPT1dHh4exXCmQNlz/IXQki4BZUTg1P0lXQIA4A6SkZEhT0/PG2aDEh2R+vTTT9W8eXM9/PDDqly5spo0aaKlS5da1x89elSpqanq2LGjtc3Z2VlhYWHauXOnJCkxMVEXL1606ePv76+QkBBrn6tFR0fL09PTugQEBBTTGQIAAAC4E5VokPr555+1ZMkSBQcHa+PGjRo+fLhGjRqld999V5KUmpoqSfL19bXZztfX17ouNTVVTk5O8vLyumafq02ePFnp6enW5cSJE0V9agAAAADuYA4lefC8vDw1b95cM2fOlCQ1adJEBw4c0JIlSzRgwABrP4vFYrOdYRj52q52vT7Ozs5ydna+xeoBAAAAlFUlOiJVpUoV1a9f36atXr16On78uCTJz89PkvKNLJ0+fdo6SuXn56ecnBylpaVdsw8AAAAAFKUSDVJt27bVoUOHbNoOHz6s6tWrS5KCgoLk5+enzZs3W9fn5ORo27ZtatOmjSSpWbNmcnR0tOmTkpKipKQkax8AAAAAKEolemnfmDFj1KZNG82cOVN9+vTR999/r7fffltvv/22pL8u6YuKitLMmTMVHBys4OBgzZw5U+XLl1e/fv0kSZ6enho6dKjGjRsnHx8feXt7a/z48QoNDVWHDh1K8vQAAAAA3KFKNEi1aNFCa9eu1eTJk/XCCy8oKChICxYsUP/+/a19JkyYoKysLI0YMUJpaWlq1aqVNm3aJHd3d2uf+fPny8HBQX369FFWVpbat2+v2NhY2dvbl8RpAQAAALjDlehzpEqLws4VD6DweI4U/i48RwoAUJRui+dIAQAAAMDtiCAFAAAAACYRpAAAAADAJIIUAAAAAJhEkAIAAAAAkwhSAAAAAGASQQoAAAAATCJIAQAAAIBJBCkAAAAAMIkgBQAAAAAmEaQAAAAAwCSCFAAAAACYRJACAAAAAJMIUgAAAABgEkEKAAAAAEwiSAEAAACASQQpAAAAADCJIAUAAAAAJhGkAAAAAMAkghQAAAAAmESQAgAAAACTCFIAAAAAYBJBCgAAAABMIkgBAAAAgEkEKQAAAAAwiSAFAAAAACYRpAAAAADAJIIUAAAAAJhEkAIAAAAAkwhSAAAAAGASQQoAAAAATCJIAQAAAIBJBCkAAAAAMIkgBQAAAAAmEaQAAAAAwCSCFAAAAACYRJACAAAAAJMIUgAAAABgEkEKAAAAAEwiSAEAAACASQQpAAAAADCJIAUAAAAAJhGkAAAAAMAkghQAAAAAmESQAgAAAACTCFIAAAAAYFKJBqnp06fLYrHYLH5+ftb1hmFo+vTp8vf3l4uLi8LDw3XgwAGbfWRnZ2vkyJGqWLGiXF1d1aNHD508efLvPhUAAAAAZUiJj0g1aNBAKSkp1mX//v3WdXPmzNG8efP0+uuvKyEhQX5+foqMjNS5c+esfaKiorR27VrFxcVp+/btOn/+vLp166bc3NySOB0AAAAAZYBDiRfg4GAzCnWZYRhasGCBpkyZot69e0uSVqxYIV9fX61evVrDhg1Tenq6li1bppUrV6pDhw6SpFWrVikgIEBffvmlOnXq9LeeCwAAAICyocRHpH788Uf5+/srKChIjzzyiH7++WdJ0tGjR5WamqqOHTta+zo7OyssLEw7d+6UJCUmJurixYs2ffz9/RUSEmLtU5Ds7GxlZGTYLAAAAABQWCUapFq1aqV3331XGzdu1NKlS5Wamqo2bdro7NmzSk1NlST5+vrabOPr62tdl5qaKicnJ3l5eV2zT0Gio6Pl6elpXQICAor4zAAAAADcyUo0SHXp0kUPPvigQkND1aFDB3322WeS/rqE7zKLxWKzjWEY+dqudqM+kydPVnp6unU5ceLELZwFAAAAgLKmxC/tu5Krq6tCQ0P1448/Wu+bunpk6fTp09ZRKj8/P+Xk5CgtLe2afQri7OwsDw8PmwUAAAAACqtUBans7GwlJyerSpUqCgoKkp+fnzZv3mxdn5OTo23btqlNmzaSpGbNmsnR0dGmT0pKipKSkqx9AAAAAKColeisfePHj1f37t0VGBio06dP66WXXlJGRoYGDhwoi8WiqKgozZw5U8HBwQoODtbMmTNVvnx59evXT5Lk6empoUOHaty4cfLx8ZG3t7fGjx9vvVQQAAAAAIpDiQapkydP6tFHH9WZM2dUqVIl3X333dq1a5eqV68uSZowYYKysrI0YsQIpaWlqVWrVtq0aZPc3d2t+5g/f74cHBzUp08fZWVlqX379oqNjZW9vX1JnRYAAACAO5zFMAyjpIsoaRkZGfL09FR6ejr3SwFF5PgLoSVdAsqIwKn7b9wJAIBCKmw2KFX3SAEAAADA7YAgBQAAAAAmEaQAAAAAwCSCFAAAAACYRJACAAAAAJMIUgAAAABgEkEKAAAAAEwiSAEAAACASQQpAAAAADCJIAUAAAAAJhGkAAAAAMAkghQAAAAAmESQAgAAAACTCFIAAAAAYBJBCgAAAABMIkgBAAAAgEkEKQAAAAAwiSAFAAAAACYRpAAAAADAJIIUAAAAAJhEkAIAAAAAkwhSAAAAAGASQQoAAAAATCJIAQAAAIBJBCkAAAAAMIkgBQAAAAAmEaQAAAAAwCSCFAAAAACYRJACAAAAAJMIUgAAAABgEkEKAAAAAExyKEyn3r17F3qHa9asueliAAAAAOB2UKgRKU9PT+vi4eGhLVu2aPfu3db1iYmJ2rJlizw9PYutUAAAAAAoLQo1IhUTE2P998SJE9WnTx+9+eabsre3lyTl5uZqxIgR8vDwKJ4qAQAAAKAUMX2P1PLlyzV+/HhriJIke3t7jR07VsuXLy/S4gAAAACgNDIdpC5duqTk5OR87cnJycrLyyuSogAAAACgNCvUpX1XGjx4sIYMGaKffvpJd999tyRp165dmjVrlgYPHlzkBQIAAABAaWM6SL3yyivy8/PT/PnzlZKSIkmqUqWKJkyYoHHjxhV5gQAAAABQ2pgOUnZ2dpowYYImTJigjIwMSWKSCQAAAABliukgdSUCFAAAAICyyHSQCgoKksViueb6n3/++ZYKAgAAAIDSznSQioqKsnl98eJF7dmzRxs2bNCzzz5bVHUBAAAAQKllOkiNHj26wPY33nhDu3fvvuWCAAAAAKC0M/0cqWvp0qWLPvroo6LaHQAAAACUWkUWpP7973/L29u7qHYHAAAAAKWW6Uv7mjRpYjPZhGEYSk1N1W+//abFixcXaXEAAAAAUBqZHpHq1auXevbsaV169+6tadOmKSkpSU899dRNFxIdHS2LxWIzmYVhGJo+fbr8/f3l4uKi8PBwHThwwGa77OxsjRw5UhUrVpSrq6t69OihkydP3nQdAAAAAHAjpkekpk2bVuRFJCQk6O2331bDhg1t2ufMmaN58+YpNjZWderU0UsvvaTIyEgdOnRI7u7ukv6aRXDdunWKi4uTj4+Pxo0bp27duikxMVH29vZFXisAAAAA3NI9UllZWcrIyLBZzDp//rz69++vpUuXysvLy9puGIYWLFigKVOmqHfv3goJCdGKFSv0559/avXq1ZKk9PR0LVu2TK+++qo6dOigJk2aaNWqVdq/f7++/PLLWzk1AAAAALgm00EqMzNTzzzzjCpXriw3Nzd5eXnZLGY9/fTT6tq1qzp06GDTfvToUaWmpqpjx47WNmdnZ4WFhWnnzp2SpMTERF28eNGmj7+/v0JCQqx9CpKdnX3LARAAAABA2WU6SE2YMEFfffWVFi9eLGdnZ73zzjuaMWOG/P399e6775raV1xcnBITExUdHZ1vXWpqqiTJ19fXpt3X19e6LjU1VU5OTvkC3JV9ChIdHS1PT0/rEhAQYKpuAAAAAGWb6SC1bt06LV68WA899JAcHBx077336rnnntPMmTP13nvvFXo/J06c0OjRo/Xee++pXLly1+x35QyB0l+X/F3ddrUb9Zk8ebLS09Oty4kTJwpdNwAAAACYDlK///67goKCJEkeHh76/fffJUn33HOPvv7660LvJzExUadPn1azZs3k4OAgBwcHbdu2TQsXLpSDg4N1JOrqkaXTp09b1/n5+SknJ0dpaWnX7FMQZ2dneXh42CwAAAAAUFimg1TNmjV17NgxSVL9+vX1wQcfSPprpKpChQqF3k/79u21f/9+7d2717o0b95c/fv31969e1WzZk35+flp8+bN1m1ycnK0bds2tWnTRpLUrFkzOTo62vRJSUlRUlKStQ8AAAAAFDXT058PHjxY+/btU1hYmCZPnqyuXbtq0aJFunTpkubNm1fo/bi7uyskJMSmzdXVVT4+Ptb2qKgozZw5U8HBwQoODtbMmTNVvnx59evXT5Lk6empoUOHaty4cfLx8ZG3t7fGjx+v0NDQfJNXAAAAAEBRMR2kxowZY/13RESEfvjhB+3evVu1atVSo0aNirS4CRMmKCsrSyNGjFBaWppatWqlTZs2WZ8hJUnz58+Xg4OD+vTpo6ysLLVv316xsbE8QwoAAABAsbEYhmEUtvPlqcbfeust1alTpzjr+ltlZGTI09NT6enp3C8FFJHjL4SWdAkoIwKn7i/pEgAAd5DCZgNT90g5OjoqKSnphrPmAQAAAMCdzPRkEwMGDNCyZcuKoxYAAAAAuC2YvkcqJydH77zzjjZv3qzmzZvL1dXVZr2ZCScAAAAA4HZkOkglJSWpadOmkqTDhw/brOOSPwAAAABlQaGD1M8//6ygoCBt3bq1OOsBAAAAgFKv0PdIBQcH67fffrO+7tu3r3799ddiKQoAAAAASrNCB6mrZ0n//PPPlZmZWeQFAQAAAEBpZ3rWPgAAAAAo6wodpCwWS77JJJhcAgAAAEBZVOjJJgzD0KBBg+Ts7CxJunDhgoYPH55v+vM1a9YUbYUAAAAAUMoUOkgNHDjQ5vVjjz1W5MUAAAAAwO2g0EEqJiamOOsAAAAAgNsGk00AAAAAgEkEKQAAAAAwiSAFAAAAACYRpAAAAADApEIFqaZNmyotLU2S9MILL+jPP/8s1qIAAAAAoDQrVJBKTk5WZmamJGnGjBk6f/58sRYFAAAAAKVZoaY/b9y4sQYPHqx77rlHhmHolVdekZubW4F9p06dWqQFAgAAAEBpU6ggFRsbq2nTpmn9+vWyWCz64osv5OCQf1OLxUKQAgAAAHDHK1SQqlu3ruLi4iRJdnZ22rJliypXrlyshQEAAABAaVWoIHWlvLy84qgDAAAAAG4bpoOUJB05ckQLFixQcnKyLBaL6tWrp9GjR6tWrVpFXR8AAAAAlDqmnyO1ceNG1a9fX99//70aNmyokJAQfffdd2rQoIE2b95cHDUCAAAAQKliekRq0qRJGjNmjGbNmpWvfeLEiYqMjCyy4gAAAACgNDI9IpWcnKyhQ4fmax8yZIgOHjxYJEUBAAAAQGlmOkhVqlRJe/fuzde+d+9eZvIDAAAAUCaYvrTvySef1FNPPaWff/5Zbdq0kcVi0fbt2zV79myNGzeuOGoEAAAAgFLFdJB6/vnn5e7urldffVWTJ0+WJPn7+2v69OkaNWpUkRcIAAAAAKWN6SBlsVg0ZswYjRkzRufOnZMkubu7F3lhAAAAAFBa3dRzpC4jQAEAAAAoi0xPNgEAAAAAZR1BCgAAAABMIkgBAAAAgEmmgtTFixcVERGhw4cPF1c9AAAAAFDqmQpSjo6OSkpKksViKa56AAAAAKDUM31p34ABA7Rs2bLiqAUAAAAAbgumpz/PycnRO++8o82bN6t58+ZydXW1WT9v3rwiKw4AAAAASiPTQSopKUlNmzaVpHz3SnHJHwAAAICywHSQ2rp1a3HUAQAAAAC3jZue/vynn37Sxo0blZWVJUkyDKPIigIAAACA0sx0kDp79qzat2+vOnXq6P7771dKSook6YknntC4ceOKvEAAAAAAKG1MB6kxY8bI0dFRx48fV/ny5a3tffv21YYNG4q0OAAAAAAojUzfI7Vp0yZt3LhR1apVs2kPDg7WL7/8UmSFAQAAAEBpZXpEKjMz02Yk6rIzZ87I2dm5SIoCAAAAgNLMdJBq166d3n33Xetri8WivLw8zZ07VxEREUVaHAAAAACURqYv7Zs7d67Cw8O1e/du5eTkaMKECTpw4IB+//137dixozhqBAAAAIBSxfSIVP369fXf//5XLVu2VGRkpDIzM9W7d2/t2bNHtWrVMrWvJUuWqGHDhvLw8JCHh4dat26tL774wrreMAxNnz5d/v7+cnFxUXh4uA4cOGCzj+zsbI0cOVIVK1aUq6urevTooZMnT5o9LQAAAAAoNNMjUpLk5+enGTNm3PLBq1WrplmzZql27dqSpBUrVqhnz57as2ePGjRooDlz5mjevHmKjY1VnTp19NJLLykyMlKHDh2Su7u7JCkqKkrr1q1TXFycfHx8NG7cOHXr1k2JiYmyt7e/5RoBAAAA4GoW4yaepJuWlqZly5YpOTlZFotF9erV0+DBg+Xt7X3LBXl7e2vu3LkaMmSI/P39FRUVpYkTJ0r6a/TJ19dXs2fP1rBhw5Senq5KlSpp5cqV6tu3ryTp1KlTCggI0Oeff65OnToV6pgZGRny9PRUenq6PDw8bvkcAEjHXwgt6RJQRgRO3V/SJQAA7iCFzQamL+3btm2bgoKCtHDhQqWlpen333/XwoULFRQUpG3btt10wbm5uYqLi1NmZqZat26to0ePKjU1VR07drT2cXZ2VlhYmHbu3ClJSkxM1MWLF236+Pv7KyQkxNqnINnZ2crIyLBZAAAAAKCwTF/a9/TTT6tPnz5asmSJ9dK53NxcjRgxQk8//bSSkpJM7W///v1q3bq1Lly4IDc3N61du1b169e3BiFfX1+b/r6+vtbnVaWmpsrJyUleXl75+qSmpl7zmNHR0UVyaSIAAACAssn0iNSRI0c0btw4m/uP7O3tNXbsWB05csR0AXXr1tXevXu1a9cu/eMf/9DAgQN18OBB63qLxWLT3zCMfG1Xu1GfyZMnKz093bqcOHHCdN0AAAAAyi7TQapp06ZKTk7O156cnKzGjRubLsDJyUm1a9dW8+bNFR0drUaNGum1116Tn5+fJOUbWTp9+rR1lMrPz085OTlKS0u7Zp+CODs7W2cKvLwAAAAAQGEV6tK+//73v9Z/jxo1SqNHj9ZPP/2ku+++W5K0a9cuvfHGG5o1a9YtF2QYhrKzsxUUFCQ/Pz9t3rxZTZo0kSTl5ORo27Ztmj17tiSpWbNmcnR01ObNm9WnTx9JUkpKipKSkjRnzpxbrgUAAAAAClKoINW4cWNZLBZdOcHfhAkT8vXr16+fdfa8wvjnP/+pLl26KCAgQOfOnVNcXJzi4+O1YcMGWSwWRUVFaebMmQoODlZwcLBmzpyp8uXLq1+/fpIkT09PDR06VOPGjZOPj4+8vb01fvx4hYaGqkOHDoWuAwAAAADMKFSQOnr0aLEc/Ndff9Xjjz+ulJQUeXp6qmHDhtqwYYMiIyMl/RXWsrKyNGLECKWlpalVq1batGmT9RlSkjR//nw5ODioT58+ysrKUvv27RUbG8szpAAAAAAUm5t6jtSdhudIAUWP50jh78JzpAAARamw2cD09OeS9L///U87duzQ6dOnlZeXZ7Nu1KhRN7NLAAAAALhtmA5SMTExGj58uJycnOTj42MzzbjFYiFIAQAAALjjmQ5SU6dO1dSpUzV58mTZ2ZmePR0AAAAAbnumk9Cff/6pRx55hBAFAAAAoMwynYaGDh2qDz/8sDhqAQAAAIDbgulL+6Kjo9WtWzdt2LBBoaGhcnR0tFk/b968IivudtXs2XdLugSUEYlzB5R0CQAAAGWS6SA1c+ZMbdy4UXXr1pWkfJNNAAAAAMCdznSQmjdvnpYvX65BgwYVQzkAAAAAUPqZvkfK2dlZbdu2LY5aAAAAAOC2YDpIjR49WosWLSqOWgAAAADgtmD60r7vv/9eX331ldavX68GDRrkm2xizZo1RVYcAAAAAJRGpoNUhQoV1Lt37+KoBQAAAABuC6aDVExMTHHUAQAAAAC3DdP3SAEAAABAWWd6RCooKOi6z4v6+eefb6kgAAAAACjtTAepqKgom9cXL17Unj17tGHDBj377LNFVRcAAAAAlFqmg9To0aMLbH/jjTe0e/fuWy4IAAAAAEq7IrtHqkuXLvroo4+KancAAAAAUGoVWZD697//LW9v76LaHQAAAACUWqYv7WvSpInNZBOGYSg1NVW//fabFi9eXKTFAQAAAEBpZDpI9erVy+a1nZ2dKlWqpPDwcN11111FVRcAAAAAlFqmg9S0adOKow4AAAAAuG3wQF4AAAAAMKnQI1J2dnbXfRCvJFksFl26dOmWiwIAAACA0qzQQWrt2rXXXLdz504tWrRIhmEUSVEAAAAAUJoVOkj17NkzX9sPP/ygyZMna926derfv79efPHFIi0OAAAAAEqjm7pH6tSpU3ryySfVsGFDXbp0SXv27NGKFSsUGBhY1PUBAAAAQKljKkilp6dr4sSJql27tg4cOKAtW7Zo3bp1Cg0NLa76AAAAAKDUKfSlfXPmzNHs2bPl5+en999/v8BL/QAAAACgLCh0kJo0aZJcXFxUu3ZtrVixQitWrCiw35o1a4qsOAAAAAAojQodpAYMGHDD6c8BAAAAoCwodJCKjY0txjIAAAAA4PZxU7P2AQAAAEBZRpACAAAAAJMIUgAAAABgEkEKAAAAAEwiSAEAAACASQQpAAAAADCJIAUAAAAAJhGkAAAAAMAkghQAAAAAmESQAgAAAACTCFIAAAAAYBJBCgAAAABMIkgBAAAAgEkEKQAAAAAwqUSDVHR0tFq0aCF3d3dVrlxZvXr10qFDh2z6GIah6dOny9/fXy4uLgoPD9eBAwds+mRnZ2vkyJGqWLGiXF1d1aNHD508efLvPBUAAAAAZUiJBqlt27bp6aef1q5du7R582ZdunRJHTt2VGZmprXPnDlzNG/ePL3++utKSEiQn5+fIiMjde7cOWufqKgorV27VnFxcdq+fbvOnz+vbt26KTc3tyROCwAAAMAdzqEkD75hwwab1zExMapcubISExPVrl07GYahBQsWaMqUKerdu7ckacWKFfL19dXq1as1bNgwpaena9myZVq5cqU6dOggSVq1apUCAgL05ZdfqlOnTn/7eQEAAAC4s5Wqe6TS09MlSd7e3pKko0ePKjU1VR07drT2cXZ2VlhYmHbu3ClJSkxM1MWLF236+Pv7KyQkxNrnatnZ2crIyLBZAAAAAKCwSk2QMgxDY8eO1T333KOQkBBJUmpqqiTJ19fXpq+vr691XWpqqpycnOTl5XXNPleLjo6Wp6endQkICCjq0wEAAABwBys1QeqZZ57Rf//7X73//vv51lksFpvXhmHka7va9fpMnjxZ6enp1uXEiRM3XzgAAACAMqdUBKmRI0fq008/1datW1WtWjVru5+fnyTlG1k6ffq0dZTKz89POTk5SktLu2afqzk7O8vDw8NmAQAAAIDCKtEgZRiGnnnmGa1Zs0ZfffWVgoKCbNYHBQXJz89Pmzdvtrbl5ORo27ZtatOmjSSpWbNmcnR0tOmTkpKipKQkax8AAAAAKEolOmvf008/rdWrV+uTTz6Ru7u7deTJ09NTLi4uslgsioqK0syZMxUcHKzg4GDNnDlT5cuXV79+/ax9hw4dqnHjxsnHx0fe3t4aP368QkNDrbP4AQAAAEBRKtEgtWTJEklSeHi4TXtMTIwGDRokSZowYYKysrI0YsQIpaWlqVWrVtq0aZPc3d2t/efPny8HBwf16dNHWVlZat++vWJjY2Vvb/93nQoAAACAMsRiGIZR0kWUtIyMDHl6eio9Pb1I7pdq9uy7RVAVcGOJcweUdAnXdPyF0JIuAWVE4NT9JV0CAOAOUthsUCommwAAAACA2wlBCgAAAABMIkgBAAAAgEkEKQAAAAAwiSAFAAAAACYRpAAAAADAJIIUAAAAAJhEkAIAAAAAkwhSAAAAAGASQQoAAAAATCJIAQAAAIBJBCkAAAAAMIkgBQAAAAAmEaQAAAAAwCSCFAAAAACYRJACAAAAAJMIUgAAAABgEkEKAAAAAEwiSAEAAACASQQpAAAAADCJIAUAAAAAJhGkAAAAAMAkghQAAAAAmESQAgAAAACTCFIAAAAAYBJBCgAAAABMIkgBAAAAgEkEKQAAAAAwiSAFAAAAACYRpAAAAADAJIIUAAAAAJhEkAIAAAAAkwhSAAAAAGASQQoAAAAATCJIAQAAAIBJBCkAAAAAMIkgBQAAAAAmEaQAAAAAwCSCFAAAAACYRJACAAAAAJMIUgAAAABgEkEKAAAAAEwiSAEAAACASQQpAAAAADCJIAUAAAAAJhGkAAAAAMCkEg1SX3/9tbp37y5/f39ZLBZ9/PHHNusNw9D06dPl7+8vFxcXhYeH68CBAzZ9srOzNXLkSFWsWFGurq7q0aOHTp48+TeeBQAAAICypkSDVGZmpho1aqTXX3+9wPVz5szRvHnz9PrrryshIUF+fn6KjIzUuXPnrH2ioqK0du1axcXFafv27Tp//ry6deum3Nzcv+s0AAAAAJQxDiV58C5duqhLly4FrjMMQwsWLNCUKVPUu3dvSdKKFSvk6+ur1atXa9iwYUpPT9eyZcu0cuVKdejQQZK0atUqBQQE6Msvv1SnTp3+tnMBAAAAUHaU2nukjh49qtTUVHXs2NHa5uzsrLCwMO3cuVOSlJiYqIsXL9r08ff3V0hIiLVPQbKzs5WRkWGzAAAAAEBhldoglZqaKkny9fW1aff19bWuS01NlZOTk7y8vK7ZpyDR0dHy9PS0LgEBAUVcPQAAAIA7WakNUpdZLBab14Zh5Gu72o36TJ48Wenp6dblxIkTRVIrAAAAgLKh1AYpPz8/Sco3snT69GnrKJWfn59ycnKUlpZ2zT4FcXZ2loeHh80CAAAAAIVVaoNUUFCQ/Pz8tHnzZmtbTk6Otm3bpjZt2kiSmjVrJkdHR5s+KSkpSkpKsvYBAAAAgKJWorP2nT9/Xj/99JP19dGjR7V37155e3srMDBQUVFRmjlzpoKDgxUcHKyZM2eqfPny6tevnyTJ09NTQ4cO1bhx4+Tj4yNvb2+NHz9eoaGh1ln8AAAAAKColWiQ2r17tyIiIqyvx44dK0kaOHCgYmNjNWHCBGVlZWnEiBFKS0tTq1attGnTJrm7u1u3mT9/vhwcHNSnTx9lZWWpffv2io2Nlb29/d9+PgAAAADKBothGEZJF1HSMjIy5OnpqfT09CK5X6rZs+8WQVXAjSXOHVDSJVzT8RdCS7oElBGBU/eXdAkAgDtIYbNBqb1HCgAAAABKK4IUAAAAAJhEkAIAAAAAkwhSAAAAAGASQQoAAAAATCJIAQAAAIBJBCkAAAAAMIkgBQAAAAAmEaQAAAAAwCSCFAAAAACYRJACAAAAAJMIUgAAAABgEkEKAAAAAEwiSAEAAACASQQpAAAAADCJIAUAAAAAJhGkAAAAAMAkghQAAAAAmESQAgAAAACTCFIAAAAAYBJBCgAAAABMIkgBAAAAgEkEKQAAAAAwiSAFAAAAACYRpAAAAADAJIIUAAAAAJhEkAIAAAAAkwhSAAAAAGASQQoAAAAATCJIAQAAAIBJBCkAAAAAMIkgBQAAAAAmEaQAAAAAwCSCFAAAAACYRJACAAAAAJMIUgAAAABgEkEKAAAAAEwiSAEAAACASQQpAAAAADCJIAUAAAAAJhGkAAAAAMAkghQAAAAAmESQAgAAAACTCFIAAAAAYBJBCgAAAABMIkgBAAAAgEkEKQAAAAAw6Y4JUosXL1ZQUJDKlSunZs2a6ZtvvinpkgAAAADcoe6IIPWvf/1LUVFRmjJlivbs2aN7771XXbp00fHjx0u6NAAAAAB3IIeSLqAozJs3T0OHDtUTTzwhSVqwYIE2btyoJUuWKDo6uoSrAwCUVW0XtS3pElBG7Bi5o6RLuKZt7cJKugSUEWFfb/tbj3fbB6mcnBwlJiZq0qRJNu0dO3bUzp07C9wmOztb2dnZ1tfp6emSpIyMjCKpKTc7q0j2A9xIUX3NFodzF3JLugSUEaX5c3Ap61JJl4AyojR/DjIv8TnA36OoPgeX92MYxnX73fZB6syZM8rNzZWvr69Nu6+vr1JTUwvcJjo6WjNmzMjXHhAQUCw1AsXFc9Hwki4BKHnRniVdAVDiPCfyOQDkWbSfg3PnzsnzOvu87YPUZRaLxea1YRj52i6bPHmyxo4da32dl5en33//XT4+PtfcBsUrIyNDAQEBOnHihDw8PEq6HKBE8DlAWcdnAOBzUBoYhqFz587J39//uv1u+yBVsWJF2dvb5xt9On36dL5RqsucnZ3l7Oxs01ahQoXiKhEmeHh48E0DZR6fA5R1fAYAPgcl7XojUZfd9rP2OTk5qVmzZtq8ebNN++bNm9WmTZsSqgoAAADAney2H5GSpLFjx+rxxx9X8+bN1bp1a7399ts6fvy4hg/n/hEAAAAARe+OCFJ9+/bV2bNn9cILLyglJUUhISH6/PPPVb169ZIuDYXk7OysadOm5bvkEihL+BygrOMzAPA5uJ1YjBvN6wcAAAAAsHHb3yMFAAAAAH83ghQAAAAAmESQAgAAAACTCFIoNhaLRR9//HGR7nP69Olq3Lhxke4TKO1q1KihBQsW3NI++OygOBXH9/u/S3h4uKKiokq6DJQR8fHxslgs+uOPP67ZJzY2lueb3iYIUrhpp0+f1rBhwxQYGChnZ2f5+fmpU6dO+vbbbyVJKSkp6tKlSwlXCRSNQYMGyWKxFPhYhREjRshisWjQoEHFcuyEhAQ99dRTxbJv4Houf91bLBY5OjrK19dXkZGRWr58ufLy8qz9+H6PsujNN9+Uu7u7Ll26ZG07f/68HB0dde+999r0/eabb2SxWOTv76+UlJRCPewVpR9BCjftwQcf1L59+7RixQodPnxYn376qcLDw/X7779Lkvz8/Ji6E3eUgIAAxcXFKSsry9p24cIFvf/++woMDLylfV+8eDFfW05OjiSpUqVKKl++/C3tH7hZnTt3VkpKio4dO6YvvvhCERERGj16tLp162b9BbK4v9/n5ubaBDegNIiIiND58+e1e/dua9s333wjPz8/JSQk6M8//7S2x8fHy9/fX3Xq1JGfn58sFktJlIwiRpDCTfnjjz+0fft2zZ49WxEREapevbpatmypyZMnq2vXrpJsL/U4duyYLBaL1qxZo4iICJUvX16NGjWyjl5dtnTpUgUEBKh8+fJ64IEHNG/evBsOb8fExKhevXoqV66c7rrrLi1evLg4ThlQ06ZNFRgYqDVr1ljb1qxZo4CAADVp0sTatmHDBt1zzz2qUKGCfHx81K1bNx05csS6/vLn4YMPPlB4eLjKlSunVatWadCgQerVq5eio6OtP3Cl/Jf2paen66mnnlLlypXl4eGh++67T/v27bOpddasWfL19ZW7u7uGDh2qCxcuFNO7gjvd5SsOqlatqqZNm+qf//ynPvnkE33xxReKjY2VZPv9vnXr1po0aZLNPn777Tc5Ojpq69atkqS0tDQNGDBAXl5eKl++vLp06aIff/zR2v/ypU3r169X/fr15ezsrF9++UXZ2dmaMGGCAgIC5OzsrODgYC1btsy63cGDB3X//ffLzc1Nvr6+evzxx3XmzBnr+szMTA0YMEBubm6qUqWKXn311WJ611AW1K1bV/7+/oqPj7e2xcfHq2fPnqpVq5Z27txp0x4REVHgpX2xsbEKDAy0/u5z9uzZfMdasmSJatWqJScnJ9WtW1crV660rhs3bpy6d+9ufb1gwQJZLBZ99tlnNrW+9dZbRXTmuIwghZvi5uYmNzc3ffzxx8rOzi70dlOmTNH48eO1d+9e1alTR48++qj1L5o7duzQ8OHDNXr0aO3du1eRkZF6+eWXr7u/pUuXasqUKXr55ZeVnJysmTNn6vnnn9eKFStu6fyAaxk8eLBiYmKsr5cvX64hQ4bY9MnMzNTYsWOVkJCgLVu2yM7OTg888EC+v6hPnDhRo0aNUnJysjp16iRJ2rJli5KTk7V582atX78+3/ENw1DXrl2Vmpqqzz//XImJiWratKnat29vHQ3+4IMPNG3aNL388svavXu3qlSpwh8YUKTuu+8+NWrUyOaPCpf1799f77//vq58TOW//vUv+fr6KiwsTNJflwzu3r1bn376qb799lsZhqH777/fZmT2zz//VHR0tN555x0dOHBAlStX1oABAxQXF6eFCxcqOTlZb775ptzc3CT9dXlhWFiYGjdurN27d2vDhg369ddf1adPH+s+n332WW3dulVr167Vpk2bFB8fr8TExOJ6m1AGhIeHW/9AIElbt25VeHi4wsLCrO05OTn69ttvFRERkW/77777TkOGDNGIESO0d+9eRURE6KWXXrLps3btWo0ePVrjxo1TUlKShg0bpsGDB1v3Hx4erm+++cb6M2bbtm2qWLGitm3bJklKTU3V4cOHrZ8/FCEDuEn//ve/DS8vL6NcuXJGmzZtjMmTJxv79u2zrpdkrF271jAMwzh69KghyXjnnXes6w8cOGBIMpKTkw3DMIy+ffsaXbt2tTlG//79DU9PT+vradOmGY0aNbK+DggIMFavXm2zzYsvvmi0bt26iM4S+MvAgQONnj17Gr/99pvh7OxsHD161Dh27JhRrlw547fffjN69uxpDBw4sMBtT58+bUgy9u/fbxjG/38eFixYkO8Yvr6+RnZ2tk179erVjfnz5xuGYRhbtmwxPDw8jAsXLtj0qVWrlvHWW28ZhmEYrVu3NoYPH26zvlWrVjafHaAwLn/dF6Rv375GvXr1DMOw/X5/+vRpw8HBwfj666+tfVu3bm08++yzhmEYxuHDhw1Jxo4dO6zrz5w5Y7i4uBgffPCBYRiGERMTY0gy9u7da+1z6NAhQ5KxefPmAut5/vnnjY4dO9q0nThxwpBkHDp0yDh37pzh5ORkxMXFWdefPXvWcHFxMUaPHl24NwS4yttvv224uroaFy9eNDIyMgwHBwfj119/NeLi4ow2bdoYhmEY27ZtMyQZR44cMbZu3WpIMtLS0gzDMIxHH33U6Ny5s80++/bta/O7T5s2bYwnn3zSps/DDz9s3H///YZhGMYff/xh2NnZGbt37zby8vIMHx8fIzo62mjRooVhGIaxevVqw9fXt5jegbKNESnctAcffFCnTp3Sp59+qk6dOik+Pl5Nmza1XupRkIYNG1r/XaVKFUl/TVohSYcOHVLLli1t+l/9+kq//fabTpw4oaFDh1pHyNzc3PTSSy/ZXEYFFKWKFSuqa9euWrFihWJiYtS1a1dVrFjRps+RI0fUr18/1axZUx4eHgoKCpIkHT9+3KZf8+bN8+0/NDRUTk5O1zx+YmKizp8/Lx8fH5uv+6NHj1q/7pOTk9W6dWub7a5+DdwqwzAKvM+jUqVKioyM1HvvvSdJOnr0qL799lv1799f0l9fnw4ODmrVqpV1Gx8fH9WtW1fJycnWNicnJ5ufGXv37pW9vf01/6qemJiorVu32nwu7rrrLkl/fSaPHDminJwcm8+Ct7e36tatewvvAsq6iIgIZWZmKiEhQd98843q1KmjypUrKywsTAkJCcrMzFR8fLwCAwNVs2bNfNsX5vt1cnKy2rZta9PWtm1b6+fF09NTjRs3Vnx8vPbv3y87OzsNGzZM+/bt07lz5xQfH89oVDFxKOkCcHsrV66cIiMjFRkZqalTp+qJJ57QtGnTrjl7maOjo/Xfl38AXx6KLuiHsnHFpSFXu7zd0qVLbX4gS5K9vb3pcwEKa8iQIXrmmWckSW+88Ua+9d27d1dAQICWLl0qf39/5eXlKSQkxDp5xGWurq75ti2o7Up5eXmqUqWKzTX5lzFdLv5OycnJ1j8SXK1///4aPXq0Fi1apNWrV6tBgwZq1KiRpGt/X7/6Z4CLi0u+19eTl5en7t27a/bs2fnWValSxeYeLKCo1K5dW9WqVdPWrVuVlpZmDSx+fn4KCgrSjh07tHXrVt13330Fbn+933OuVNDvR1e2hYeHKz4+Xk5OTgoLC5OXl5caNGigHTt2KD4+nin+iwkjUihS9evXV2Zm5k1te9ddd+n777+3abtyJpyr+fr6qmrVqvr5559Vu3Ztm+VaP9yBotC5c2fl5OQoJyfHem/TZWfPnlVycrKee+45tW/fXvXq1VNaWlqRHbtp06ZKTU2Vg4NDvq/7yyNj9erV065du2y2u/o1cCu++uor7d+/Xw8++GCB63v16qULFy5ow4YNWr16tR577DHruvr16+vSpUv67rvvrG1nz57V4cOHVa9evWseMzQ0VHl5edb7Pq7WtGlTHThwQDVq1Mj32XB1dVXt2rXl6Oho81lIS0vT4cOHzZ4+YOPyJBLx8fEKDw+3toeFhWnjxo3atWtXgfdHSX99Hm70/bpevXravn27TdvOnTttPi+X75P66quvrDWEhYUpLi6O+6OKESNSuClnz57Vww8/rCFDhqhhw4Zyd3fX7t27NWfOHPXs2fOm9jly5Ei1a9dO8+bNU/fu3fXVV1/piy++uO4UodOnT9eoUaPk4eGhLl26KDs7W7t371ZaWprGjh17s6cHXJe9vb31koqrRz+9vLzk4+Ojt99+W1WqVNHx48fzzWB2Kzp06KDWrVurV69emj17turWratTp07p888/V69evdS8eXONHj1aAwcOVPPmzXXPPffovffe04EDBwq8rAS4kezsbKWmpio3N1e//vqrNmzYoOjoaHXr1k0DBgwocBtXV1f17NlTzz//vJKTk9WvXz/ruuDgYPXs2VNPPvmk3nrrLbm7u2vSpEmqWrXqdX9+1KhRQwMHDtSQIUO0cOFCNWrUSL/88otOnz6tPn366Omnn9bSpUv16KOP6tlnn1XFihX1008/KS4uTkuXLpWbm5uGDh2qZ599Vj4+PvL19dWUKVNkZ8fflHFrIiIi9PTTT+vixYs2gSUsLEz/+Mc/dOHChWsGqVGjRqlNmzaaM2eOevXqpU2bNmnDhg02fZ599ln16dPHOrHQunXrtGbNGn355ZfWPu3atdO5c+e0bt0662QV4eHhevDBB1WpUiXVr1+/GM4cfPfATXFzc1OrVq00f/58tWvXTiEhIXr++ef15JNP6vXXX7+pfbZt21Zvvvmm5s2bp0aNGmnDhg0aM2aMypUrd81tnnjiCb3zzjuKjY1VaGiowsLCFBsby4gUip2Hh4c8PDzytdvZ2SkuLk6JiYkKCQnRmDFjNHfu3CI7rsVi0eeff6527dppyJAhqlOnjh555BEdO3ZMvr6+kqS+fftq6tSpmjhxopo1a6ZffvlF//jHP4qsBpQtGzZsUJUqVVSjRg117txZW7du1cKFC/XJJ59c9zLq/v37a9++fbr33nvzPWctJiZGzZo1U7du3dS6dWsZhqHPP//c5vLvgixZskQPPfSQRowYobvuuktPPvmk9SoIf39/7dixQ7m5uerUqZNCQkI0evRoeXp6WsPS3Llz1a5dO/Xo0UMdOnTQPffco2bNmt3iO4SyLiIiQllZWapdu7b1+7D0V5A6d+6catWqpYCAgAK3vfvuu/XOO+9o0aJFaty4sTZt2qTnnnvOpk+vXr302muvae7cuWrQoIHeeustxcTE2Ix+eXp6qkmTJvL29raGpnvvvVd5eXmMRhUji1HYizOBEvDkk0/qhx9+0DfffFPSpQAAAABWXNqHUuWVV15RZGSkXF1d9cUXX2jFihU8/wYAAAClDiNSKFX69Omj+Ph4nTt3TjVr1tTIkSM1fPjwki4LAAAAsEGQAgAAAACTmGwCAAAAAEwiSAEAAACASQQpAAAAADCJIAUAAAAAJhGkAAAAAMAkghQA4LYUGxurChUqlJr9AADKFoIUAKBIDRo0SBaLpcBnwI0YMUIWi0WDBg265eP07dtXhw8ftr6ePn26GjdufMv7LcjWrVsVEREhb29vlS9fXsHBwRo4cKAuXbok6ebDWHx8vCwWi/7444+iLRgAUOwIUgCAIhcQEKC4uDhlZWVZ2y5cuKD3339fgYGBt7z/ixcvysXFRZUrV77lfd3IgQMH1KVLF7Vo0UJff/219u/fr0WLFsnR0VF5eXnFfnwAQOlEkAIAFLmmTZsqMDBQa9assbatWbNGAQEBatKkiU3fDRs26J577lGFChXk4+Ojbt266ciRI9b1x44dk8Vi0QcffKDw8HCVK1dOq1atshkFio2N1YwZM7Rv3z5ZLBZZLBbFxsZKkubNm6fQ0FC5uroqICBAI0aM0Pnz5wt9Lps3b1aVKlU0Z84chYSEqFatWurcubPeeecdOTk5KT4+XoMHD1Z6err12NOnT5ckrVq1Ss2bN5e7u7v8/PzUr18/nT592npeERERkiQvLy+bkboaNWpowYIFNnU0btzYul/prxG4wMBAOTs7y9/fX6NGjSr0OQEAbh1BCgBQLAYPHqyYmBjr6+XLl2vIkCH5+mVmZmrs2LFKSEjQli1bZGdnpwceeCDfaM/EiRM1atQoJScnq1OnTjbr+vbtq3HjxqlBgwZKSUlRSkqK+vbtK0mys7PTwoULlZSUpBUrVuirr77ShAkTCn0efn5+SklJ0ddff13g+jZt2mjBggXy8PCwHnv8+PGSpJycHL344ovat2+fPv74Yx09etQalgICAvTRRx9Jkg4dOqSUlBS99tprharp3//+t+bPn6+33npLP/74oz7++GOFhoYW+pwAALfOoaQLAADcmR5//HFNnjzZOqK0Y8cOxcXFKT4+3qbfgw8+aPN62bJlqly5sg4ePKiQkBBre1RUlHr37l3gsVxcXOTm5iYHBwf5+fnZrIuKirL+OygoSC+++KL+8Y9/aPHixYU6j4cfflgbN25UWFiY/Pz8dPfdd6t9+/YaMGCAPDw85OTkJE9PT1kslnzHvjI41qxZUwsXLlTLli11/vx5ubm5ydvbW5JUuXJlU/dYHT9+XH5+furQoYMcHR0VGBioli1bFnp7AMCtY0QKAFAsKlasqK5du2rFihWKiYlR165dVbFixXz9jhw5on79+qlmzZry8PBQUFCQpL/CwpWaN29+U3Vs3bpVkZGRqlq1qtzd3TVgwACdPXtWmZmZhdre3t5eMTExOnnypObMmSN/f3+9/PLL1tGv69mzZ4969uyp6tWry93dXeHh4QWem1kPP/ywsrKyVLNmTT355JNau3atdeILAMDfgyAFACg2Q4YMUWxsrFasWFHgZX2S1L17d509e1ZLly7Vd999p++++07SX5fFXcnV1dX08X/55Rfdf//9CgkJ0UcffaTExES98cYbkv6asMKMqlWr6vHHH9cbb7yhgwcP6sKFC3rzzTev2T8zM1MdO3aUm5ubVq1apYSEBK1du1ZS/nO7mp2dnQzDsGm7st6AgAAdOnRIb7zxhlxcXDRixAi1a9fO9DkBAG4el/YBAIpN586draHh6vuaJOns2bNKTk7WW2+9pXvvvVeStH379ps6lpOTk3Jzc23adu/erUuXLunVV1+Vnd1ffzv84IMPbmr/V/Ly8lKVKlWso1oFHfuHH37QmTNnNGvWLAUEBFjrubpmSfm2rVSpks1oV0ZGho4ePWrTx8XFRT169FCPHj309NNP66677tL+/fvVtGnTWz4/AMCNEaQAAMXG3t5eycnJ1n9fzcvLSz4+Pnr77bdVpUoVHT9+XJMmTbqpY9WoUUNHjx7V3r17Va1aNbm7u6tWrVq6dOmSFi1apO7du2vHjh3XHUUqyFtvvaW9e/fqgQceUK1atXThwgW9++67OnDggBYtWmQ99vnz57VlyxY1atRI5cuXV2BgoJycnLRo0SINHz5cSUlJevHFF232Xb16dVksFq1fv17333+/9V6v++67T7Gxserevbu8vLz0/PPP27x/sbGxys3NVatWrVS+fHmtXLlSLi4uql69+k29dwAA87i0DwBQrDw8POTh4VHgOjs7O8XFxSkxMVEhISEaM2aM5s6de1PHefDBB9W5c2dFRESoUqVKev/999W4cWPNmzdPs2fPVkhIiN577z1FR0eb2u/lySGGDx+uBg0aKCwsTLt27dLHH3+ssLAwSX/N3Dd8+HD17dtXlSpV0pw5c1SpUiXFxsbqww8/VP369TVr1iy98sorNvuuWrWqZsyYoUmTJsnX11fPPPOMJGny5Mlq166dunXrpvvvv1+9evVSrVq1rNtVqFBBS5cuVdu2bdWwYUNt2bJF69atk4+Pz029dwAA8yzG1RdhAwAAAACuixEpAAAAADCJIAUAAAAAJhGkAAAAAMAkghQAAAAAmESQAgAAAACTCFIAAAAAYBJBCgAAAABMIkgBAAAAgEkEKQAAAAAwiSAFAAAAACYRpAAAAADApP8D2t6h15WzWAMAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fraud = df[df['FraudFound'] == 1]\n",
    "plt.figure(figsize=(10,5))\n",
    "plt.title(\"Marital Status Vs Frauds\")\n",
    "sns.countplot(x=fraud['MaritalStatus']);\n",
    "plt.xlabel(\"Marital Status\")\n",
    "plt.ylabel(\"Number of Fraud\");\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fa4a8e14",
   "metadata": {},
   "source": [
    "People who are married engage in a higher number of fraudulent activities.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "fe2014c7",
   "metadata": {},
   "outputs": [],
   "source": [
    "le = LabelEncoder()\n",
    "\n",
    "cols = df.select_dtypes('O').columns\n",
    "\n",
    "df[cols]= df[cols].apply(le.fit_transform)\n",
    "df['Year'] = le.fit_transform(df.Year)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "5cea0779",
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 2000x1000 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20,10))\n",
    "sns.heatmap(df.corr(),cmap=\"YlGnBu\")\n",
    "plt.title(\"Correlation Heatmap\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8dbc007f",
   "metadata": {},
   "source": [
    "\n",
    "We can identify notable correlations among certain features, allowing us to disregard or eliminate them from consideration."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "4bc3e0d1",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_new = df[['Make', 'AccidentArea','Sex',\\\n",
    "       'MaritalStatus','Fault', 'VehicleCategory',\\\n",
    "       'VehiclePrice', 'Year',\\\n",
    "       'DriverRating', 'Days:Policy-Accident', 'Days:Policy-Claim',\\\n",
    "       'PastNumberOfClaims', 'AgeOfVehicle', 'AgeOfPolicyHolder',\\\n",
    "       'PoliceReportFiled', 'WitnessPresent', 'AgentType',\\\n",
    "       'NumberOfSuppliments', 'AddressChange-Claim', 'NumberOfCars',\\\n",
    "       'BasePolicy', 'FraudFound']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "91ee1ae2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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jEEIIIYQQQgghhBBCyDfxavF/NeXIkSMwMDCAqakpTE1N0bFjRxw6dEjkMcnJycjPzxf7z6aVGTVs0qRJ8Pf3r7D90aNH0NHRYSDRZ7U1FyGEEEIIIYQQQgghhJDaqVGjRjh8+PB3HyMQCL67/0f6ZHyJBjN+ATMzM/j6+opsa9q0qcjXxcXFaNCgwa+MVaVchBBCCCGEEEIIIYQQQgjTqMzULyAlJYXmzZuLfAwaNAhz5szB/Pnz0aRJE5iYmAAAtm3bBgMDAzRs2BCqqqqYNWsWPnz4IPy3Vq5ciU6dOon8+x4eHtDQ0BB+XVZWhvnz50NJSQmNGzfG4sWLKx0NqyyXpKQkACAsLAzdu3eHlJQUWrRoAVdXV5SWlgq/V0NDAx4eHiL/XqdOnbBy5Urh1zweD97e3hg5ciRkZWWhq6uL4OBgke+5ePEi2rRpAxkZGRgbG//0qBwhhBBCCCGEEEIIIYT8Sjwer9Z+cBENZjDI398f9erVQ0REhLBhioSEBHbs2IEHDx7A398fISEhWLx48Q/9u1u3boWPjw8OHDiA8PBw5Obm4vTp01X+/mfPnmHo0KHo1q0b4uLisHfvXhw4cABr1679oRwAsGrVKowdOxbx8fEYOnQorK2tkZubCwB48uQJRo0ahaFDhyI2NhZTpkyBq6vrD/8MQgghhBBCCCGEEEIIIdxGgxm/wPnz5yEnJyf8+OOPPwAAOjo62LRpE/T09NC2bVsAwNy5c2FsbAxNTU0MHDgQa9asQWBg4A/9PA8PDyxZsgSjR49Gu3bt4OnpCUVFxSrn2rNnD1RVVbFr1y60bdsWlpaWWLVqFbZu3Qo+n/9DWSZNmoQJEyZAR0cHbm5uKCgoQHR0NABg79690NLSgru7O/T09GBtbY1Jkyb90L9PCCGEEEIIIYQQQgghhPuoZ8YvYGxsjL179wq/btiwISZMmAAjI6MKjw0NDYWbmxsSEhLw7t07lJaWoqioCAUFBWjYsOF//qz8/Hy8ePECvXr1Em6rV68ejIyMKpSaqiwXACQmJqJXr14iy5H69OmDDx8+4OnTp1BTU6vysXfs2FHk35eXl8erV6+EP6dnz54iP+fL3N/y6dMnfPr0SWRbyadi1Jf6tT1HCCGEEEIIIYQQQgghdRmtFfiV6P/2L9CwYUPo6OgIP1q0aCHc/qXMzEwMHToUHTp0wMmTJ3H37l3s3r0bAFBSUgLgcxmqrwclyveJK5dAIKhQV638Z5Zvr2qO+vXri3zN4/GEqzv+q6v9t6xfvx6KiooiH6f3/tjqFUIIIYQQQgghhBBCCCHsQYMZtcidO3dQWlqKrVu3omfPnmjTpg2eP38u8pimTZsiOztbZCAgNjZW+LmioiJatGiBqKgo4bbS0lLcvXu3yjn09fVx8+ZNkZ9x8+ZNyMvLo1WrVsIcL168EO5/9+4dMjIyqvwzyn/OlzkBVPi6MkuWLEF+fr7Ix8iZY3/oZxNCCCGEEEIIIYQQQghhDxrMqEW0tbVRWlqKnTt3Ij09HYcOHYKnp6fIYwYMGIDXr19j06ZNSEtLw+7du/H333+LPMbZ2RkbNmzA6dOnkZSUhFmzZiEvL6/KOWbNmoUnT57A0dERSUlJOHv2LFasWIH58+dDQuLzr8zAgQNx6NAh3LhxAw8ePICdnR0kJSV/6HhnzJiBtLQ0zJ8/H8nJyTh69Cj8/Pz+8/ukpKSgoKAg8kElpgghhBBCCCGEEEIIIb8Srxb/x0U0mFGLdOrUCdu2bcPGjRvRoUMHHDlyBOvXrxd5TLt27bBnzx7s3r0bhoaGiI6OxsKFC0Ues2DBAtja2mLSpEno1asX5OXlMXLkyCrnaNWqFS5evIjo6GgYGhpixowZcHBwwF9//SV8zJIlS9CvXz8MGzYMQ4cOhaWlJbS1tX/oeNXU1HDy5EmcO3cOhoaG8PT0hJub2w/9G4QQQgghhBBCCCGEEEK4jyf42cYFhNQiQRmXmI5Qo+pLcPvP9EXhj63qYaOG9bn9HHZs9HO9e9jkUxk3ZzWUu5HN7RVuWvKlTEeoce9KuD1HRYLbf4KQ4vh7PQDkFXP7SWwkxe3nkOvnowD33+v53H8KISXJ7YPMK+b2e30TaT7TEWpc7iduP4fdmnL7urBrxyNMR6hxH7MCmI7AOnzBQ6YjfJMErz3TEcSuHtMBCCGEEEIIIYQQQgghhBD24fZkiNqG20PChBBCCCGEEEIIIYQQQghhPRrMIIQQQgghhBBCCCGEEEJIrUZlpgghhBBCCCGEEEIIIYSQH8TjUZmpX4lWZhBCCCGEEEIIIYQQQgghpFajwQxCCCGEEEIIIYQQQgghhNRqVGaKEEIIIYQQQgghhBBCCPlhtFbgV6L/24QQQgghhBBCCCGEEEIIqdVoMIMQQgghhBBCCCGEEEIIIbUalZkihBBCCCGEEEIIIYQQQn4QDzymI9QptDKDEEIIIYQQQgghhBBCCCG1Gg1mEEIIIYQQQgghhBBCCCGkdhMQQn5IUVGRYMWKFYKioiKmo9QIrh+fQMD9Y6TjYz+uHyMdH/tx/Ri5+FQWWwAArQ9JREFUfnwCAfePkY6P/bh+jHR87Mf1Y6TjYz+uHyPXj08gqBvHSMiP4gkEAgHTAyqEsMm7d++gqKiI/Px8KCgoMB1H7Lh+fAD3j5GOj/24fox0fOzH9WPk+vEB3D9GOj724/ox0vGxH9ePkY6P/bh+jFw/PqBuHCMhP4rKTBFCCCGEEEIIIYQQQgghpFajwQxCCCGEEEIIIYQQQgghhNRqNJhBCCGEEEIIIYQQQgghhJBajQYzCPlBUlJSWLFiBaSkpJiOUiO4fnwA94+Rjo/9uH6MdHzsx/Vj5PrxAdw/Rjo+9uP6MdLxsR/Xj5GOj/24foxcPz6gbhwjIT+KGoATQgghhBBCCCGEEEIIIaRWo5UZhBBCCCGEEEIIIYQQQgip1WgwgxBCCCGEEEIIIYQQQgghtRoNZhBCCCGEEEIIIYQQQgghpFajwQxCCCGEkJ9UWloKf39/ZGdnMx2FEEIIIYQQQgjhNGoATgghhBBSDbKyskhMTIS6ujrTUQghhBBCCCGEEM6ilRmEkDrhn3/++eY+Ly+vX5iEkIomTZqEf//9l+kY5Cf16NEDsbGxTMcghHBcXl4evL29sWTJEuTm5gIAYmJi8OzZM4aTVV9JSQmMjY2RkpLCdBRSDVlZWahsrqRAIEBWVhYDicSPy3+HhBBCCBvQYAYhP6ioqIjpCGIXFBSEsWPHomfPnujSpYvIB1eYm5tjwYIFKC4uFm57/fo1hg8fjiVLljCYjFQVly+Q379/D1NTU+jq6sLNzY2TF8Q3btzAxIkT0atXL+HxHTp0COHh4Qwnq75Zs2Zh/vz52LVrFyIjIxEfHy/yQdhj9erVKCwsrLD948ePWL16NQOJCPksPj4ebdq0wcaNG7Flyxbk5eUBAE6fPs2J85j69evjwYMH4PF4TEch1aCpqYnXr19X2J6bmwtNTU0GEokX1/8OK/Pu3TucOXMGiYmJTEcRi6KiImzevBlDhw6FkZERZ699v1RWVobY2Fi8ffuW6Shi4+fnV+n5Gpu9e/euyh+E1HVUZoqQKuDz+Vi3bh08PT3x8uVLpKSkQEtLC8uWLYOGhgYcHByYjvjTduzYgaVLl8LOzg779+/H5MmTkZaWhtu3b2P27NlYt24d0xHF4tatW7CxsYGMjAyOHj2Kx48fw97eHvr6+jh48CBUVVWZjlgtly5dgpycHH777TcAwO7du7F//37o6+tj9+7dUFZWZjhh9UlKSuLFixdQUVER2Z6TkwMVFRWUlZUxlEw8cnJycPjwYfj5+eHBgwcYPHgwHBwcMGLECNSvX5/peNVy8uRJ2NjYwNraGocOHUJCQgK0tLSwZ88enD9/HhcvXmQ6YrVISFScG8Lj8SAQCMDj8Vj/u1lu5MiRld5o5PF4kJaWho6ODqysrKCnp8dAOvHg+usMAERHR+P69et49eoV+Hy+yL5t27YxlEo8uPxeOHjwYHTp0gWbNm2CvLw84uLioKWlhZs3b8LKygqPHz9mOmK1LViwAPXr18eGDRuYjiJWO3bsqPJjnZycajBJzZOQkMDLly/RtGlTke2ZmZnQ19dHQUEBQ8nEoy78HY4dOxb9+vXDnDlz8PHjRxgaGuLx48cQCAQ4duwYRo8ezXTEarGyssLVq1cxZswYNGvWrMJ5zYoVKxhKJj5z586FgYEBHBwcUFZWhv79++PmzZuQlZXF+fPnMWDAAKYjVluLFi1QUFCAP/74Aw4ODujduzfTkapNQkKiygP6XDgfJaQ6aDCDkCpYvXo1/P39sXr1akydOhUPHjyAlpYWAgMD4e7ujsjISKYj/rS2bdtixYoVmDBhgshJ+fLly5Gbm4tdu3YxHVFsCgoKMGPGDJw4cQJ8Ph9r167FokWLODEL0MDAABs3bsTQoUNx//59dOvWDfPnz0dISAjatWsHX19fpiNWG9cvkL907949+Pj4wNvbG3Jycpg4cSJmzZoFXV1dpqP9lM6dO2PevHmwtbUVeZ2JjY2FmZkZ65tnZ2Zmfnc/V3ppTJo0CWfOnIGSkhK6du0KgUCAe/fuIS8vD6ampoiLi8Pjx49x7do19OnTh+m4P+VbrzMhISEYN25cpTOO2cTNzQ1//fUX9PT0KtzE4fF4CAkJYTBd9XH5vVBRURExMTHQ1tYWeR3NzMyEnp4eJ1YOOzo64uDBg9DR0YGRkREaNmwosp+tg21fr0h4/fo1CgsLoaSkBOBz2SJZWVmoqKggPT2dgYTVN3/+fADA9u3bMXXqVMjKygr3lZWV4datW5CUlERERARTEcWiLvwdNm/eHJcvX4ahoSGOHj2KFStWIC4uDv7+/ti3bx/u3bvHdMRqUVRUxMWLF1l7nlIVrVu3xpkzZ2BkZIQzZ85g9uzZCA0NxcGDBxEaGsr6v0Pg8+vKhQsX4OfnhwsXLkBTUxOTJ0+GnZ0dmjdvznS8nxIWFib8/PHjx3B1dcWkSZPQq1cvAEBkZCT8/f2xfv162NnZMRWTkFqhHtMBCGGDgwcPYt++fRg0aBBmzJgh3N6xY0ckJSUxmKz6srKyhDMZZGRk8P79ewCAjY0NevbsyanBjOTkZNy+fRutW7fG8+fPkZSUhMLCwgoXy2yUkZEBfX19AJ9nwQ8bNgxubm6IiYnB0KFDGU5XPeUXyDweD8uWLav0ArlTp04MpRO/Fy9e4MqVK7hy5QokJSUxdOhQPHz4EPr6+ti0aRPmzZvHdMQflpycjH79+lXYrqCgICzRwGZcGaz4L82bN4eVlRV27dolXI3C5/Ph7OwMeXl5HDt2DDNmzICLiwvryocpKyuDx+OBx+OhTZs2Ijf5y8rK8OHDB5H3f7bavn07fHx8MGnSJKaj1AguvxdKS0tXWloiOTm5wuAbWz148EBY5uXr3hlsnniSkZEh/Pzo0aPYs2cPDhw4IFzFlpycjKlTp2L69OlMRay28hvcAoEA9+/fR4MGDYT7GjRoAENDQyxcuJCpeGJTF/4O8/Pz0ahRIwCfV7uNHj0asrKyMDc3x6JFixhOV32tWrWCvLw80zFq1Js3b4Q39C9evIg//vgDbdq0gYODww+tFKvNJCUlYWFhAQsLC7x69Uq4un3ZsmUwMzODg4MDhg8fXunq6dqqf//+ws9Xr16Nbdu2YcKECcJtFhYWMDAwwL59+2gwg9R5NJhBSBU8e/YMOjo6Fbbz+XyUlJQwkEh8mjdvjpycHKirq0NdXR1RUVEwNDRERkZGpf0J2GrDhg1YsWIFpk2bhs2bNyMtLQ0TJ05Ex44dcfjwYeGMB7Zq0KCBsG7oP//8A1tbWwBAo0aNWF9Xsy5cIJeUlCA4OBi+vr64cuUKOnbsiHnz5sHa2lp4wXXs2DHMnDmTlYMZLVq0QGpqKjQ0NES2h4eHQ0tLi5lQNSAhIQFZWVkivXmAzxcfXHDgwAFERESIXBhKSEjA0dERvXv3hpubG+bMmYO+ffsymPLneHh4QCAQwN7eHqtWrYKioqJwX4MGDaChocH69wng8/PF5dmoXH4vHDFiBFavXo3AwEAAn2/uZ2VlwdXVlfVlX8qFhoYyHaHGLVu2DEFBQSLl+PT09ODu7o4xY8bA2tqawXQ/r/y5mzx5MrZv3w4FBQWGE9WMuvB3qKqqisjISDRq1AiXLl3CsWPHAABv376FtLQ0w+mqb+vWrXBxcYGnpydnJ6M0a9YMCQkJaNGiBS5duoQ9e/YAAAoLCyEpKclwOvFTUVFBnz59kJycjJSUFNy/fx+TJk2CkpISfH19WVlWKzIyEp6enhW2GxkZYcqUKQwkIqR2ocEMQqqgffv2uHHjRoUTnhMnTqBz584MpRKPgQMH4ty5c+jSpQscHBwwb948BAUF4c6dOxg1ahTT8cRm+/btOHPmDIYMGQLg83MaHR2NP//8EwMGDMCnT58YTlg9v/32G+bPn48+ffogOjoax48fB/B5ZmPr1q0ZTlc9deECuUWLFuDz+ZgwYQKio6MrXWny+++/C0tSsM306dPh7OwMHx8f8Hg8PH/+HJGRkVi4cCGWL1/OdLxqS09Px8iRI3H//n1hrwzg/zOJuVLXtrS0FElJSWjTpo3I9qSkJOExSktLs3IGdfkMN01NTfTu3Zv1fWq+Zd68edi9ezc8PDyYjlIjuPxeuGXLFgwdOhQqKir4+PEj+vfvj+zsbPTq1Ysz/c3KpaamIi0tDf369YOMjIyw/xAXvHjxotKJUGVlZXj58iUDicSLzaXcqqIu/B3OnTsX1tbWkJOTg7q6uvBG8L///gsDAwNmw4mBkZERioqKoKWlBVlZ2Qrv97m5uQwlE5/Jkydj7NixaNGiBXg8HkxMTAB87iHZtm1bhtOJz8uXL3Ho0CH4+voiPT0dlpaWOH/+PAYPHoyPHz/ir7/+gp2d3X+Wg62NVFVV4enpia1bt4ps9/LyYn2vT0LEgXpmEFIF586dg42NDZYsWYLVq1dj1apVSE5OxsGDB3H+/HnhCQIb8fl88Pl81Kv3eWwzMDAQ4eHh0NHRwYwZM0RmwbPZmzdv0KRJk0r3hYWFiSzrZKOsrCzMmjULT548gZOTk7Ap/bx581BWVsaZJcVcdfDgQYwdO5YTM96+ZenSpXB3dxfWk5aSksLChQuxZs0ahpNV3/DhwyEpKYn9+/dDS0sL0dHRyMnJwYIFC7BlyxZWrlSojJOTEwICAvDnn3+iW7du4PF4iI6OhpubG6ysrLB9+3Z4e3vDz8+PdWWmvsTn85Gamlppg+zKyqWxCZ/Ph7m5OVJSUqCvr1/hJs6pU6cYSiYedeG9MCQkBDExMeDz+ejSpQsGDx7MdCSxycnJwdixYxEaGgoej4dHjx5BS0sLDg4OUFJSqnBTh42GDx+OrKwsHDhwAF27dgWPx8OdO3cwdepUqKqqIjg4mOmI1VJQUIANGzbg2rVrlb6GsrUnyNe4/HcIAHfv3kVWVhZMTEwgJycHALhw4QKUlZVZ32h58ODByMrKgoODQ6UNwLlSvufkyZPIysrCH3/8IRzM9/f3h5KSEkaMGMFwuuobPnw4Ll++jDZt2mDKlCmwtbUVlkcr9/z5c7Ru3brC6xAbXLx4EaNHj4a2tjZ69uwJAIiKikJaWhpOnjzJ+tKZhFQXDWYQUkWXL1+Gm5sb7t69KzxxXb58OUxNTZmORqooLy8PQUFBSEtLw6JFi9CoUSPExMSgWbNmaNWqFdPxSCV+ZHUQW2/ClZaWQlpaGrGxsejQoQPTcWpUYWEhEhISwOfzoa+vL7xAZrsmTZogJCQEHTt2hKKiIqKjo6Gnp4eQkBAsWLCA9c0yy5WVlWHDhg3YtWuXcAZxs2bN4OjoCBcXF0hKSiIrKwsSEhKsnQUfFRUFKysrZGZmVii1yOPxWL/KZvbs2Thw4ACMjY0rvYnD9VnVpHaztbXFq1ev4O3tjXbt2gmbK1+5cgXz5s3Dw4cPmY5Yba9fv4adnR0uXbokHEwsLS3F77//Dj8/P6ioqDCcsHomTJiAsLAw2NjYCGeFf8nZ2ZmhZKSqVq9ejYULF4r0qAOAjx8/YvPmzaxfUSsrK4vIyEgYGhoyHaVGlJSUwNTUFF5eXhVW0nKJg4MDpkyZ8t0SoAKBAFlZWawtJ/b06VPs2bMHSUlJEAgE0NfXx4wZM2hlBiGgwQxCquTJkyfffNOIiooSjpaz1Y0bN+Dl5YW0tDQEBQWhVatWOHToEDQ1NfHbb78xHU8s4uPjMXjwYCgqKuLx48dITk6GlpYWli1bhszMTBw8eJDpiNWSlZX13f1qamq/KIl4TZ48ucqPZfNNOG1tbZw6dYqzF1b5+fkoKyurMGMqNzcX9erVY33pMGVlZdy9exdaWlrQ1taGt7c3jI2NkZaWBgMDA2ENfy4p7z/A9ufua506dUKbNm2watWqSm/EfdlLg43KG7Wbm5szHaVGvXr1qtJZ4R07dmQo0c/5kZUkTk5ONZjk12jevDkuX74MQ0NDyMvLCwczMjIyYGBggA8fPjAdUWxSUlKEN6jatWvHmZuOSkpKuHDhAqd781y7dg3u7u5ITEwEj8dD27ZtMXfuXM6szpCUlMSLFy8qDKzl5ORARUWF9YP6Xbp0wZ49e1h//f49TZs2xc2bN6Grq8t0FEIIqRHUM4OQKjAxMUFERAQaN24ssj0iIgLm5ubIy8tjJpgYnDx5EjY2NrC2tsa9e/eEvSPev38PNzc3XLx4keGE4jF//nxMmjQJmzZtEjZUBoAhQ4bAysqKwWTioaGh8d160my98GDzAMWP+Ouvv7BkyRIcPny4wg1/Lhg/fjyGDx+OWbNmiWwPDAxEcHAw619nOnTogPj4eGhpaaFHjx7YtGkTGjRogH379nGqwfmXuDaIUe7Ro0cICgqCjo4O01FqRKNGjaCtrc10jBpz9+5d2NnZITExUaR3TXnPBba9F7q7u1fpcTwejxODGQUFBRVmgwOfS4VKSUkxkKjmaGhoQCAQQFtbW1jqlQuUlZU5eR5TbteuXZg3bx7GjBkjXGUSFRWFoUOHYtu2bZgzZw7DCavvWz1q4uLiOPHcbtiwAQsWLMC6detgYGBQodwiF85vbG1tceDAAWzYsIHpKDXGyckJOjo6Fd77du3ahdTUVE70BsvLy0N0dHSlkzNsbW0ZSkVI7UArMwipgqlTpyImJgbXr18X3gj/999/MXz4cKxcuRLz5s1jOOHP69y5M+bNmwdbW1uRWXCxsbEwMzNDdnY20xHFQlFRETExMdDW1hY5zszMTOjp6Qnr+LNVXFycyNclJSW4d+8etm3bhnXr1nGqmTsXde7cGampqSgpKYG6ujoaNmwosj8mJoahZOLRqFEjREREoF27diLbk5KS0KdPH+Tk5DCUTDwuX76MgoICjBo1Cunp6Rg2bBiSkpLQuHFjHD9+HAMHDmQ6oli8fPkSCxcuFNZC//oUkm03iiszcOBALF68GGZmZkxHqRG+vr64dOkSfH19K71pzHYdO3aEjo4OXFxcKi2jxdZSE3WFubk5unTpgjVr1kBeXh7x8fFQV1fH+PHjwefzERQUxHTEaissLISjoyP8/f0BfF6hoaWlBScnJ7Rs2RKurq4MJ6yew4cP4+zZs/D39+fka0yrVq2wZMmSCoMWu3fvxrp16/D8+XOGklWfsrIyeDwe8vPzoaCgIPL6WVZWhg8fPmDGjBnYvXs3gymrT0JCAgAqvD+wddC7Mo6Ojjh48CB0dHRgZGRU4bpi27ZtDCUTn1atWiE4OBhdu3YV2R4TEwMLCws8ffqUoWTice7cOVhbW6OgoADy8vIiv688Ho8TjeoJqQ7uTAMhpAbt27cPf/zxB8zNzXHlyhVERkbCwsICa9euZX3t1+Tk5EobmiooKLB6xcnXpKWlhWVRvpScnIymTZsykEi8KitPZGRkhJYtW2Lz5s2cGMzQ1NT87uoTNjeVtLS0ZDpCjfr06RNKS0srbC8pKcHHjx8ZSCRev//+u/BzLS0tJCQkIDc3V3hjgCsmTZqErKwsLFu2rNISTFzg6OiIBQsWIDs7u9IZm2wrU/S1HTt2IC0tDc2aNYOGhkaF42P7wGlGRgZOnTrF2ZU1XLd582YMGDAAd+7cQXFxMRYvXoyHDx8iNzcXERERTMcTiyVLliAuLg7Xr18XGTQdPHgwVqxYwfrBjK1bt3L6Nebdu3eVDnabmprCxcWFgUTi4+HhAYFAAHt7e6xatUqkrGKDBg2goaHx3f4EbBEaGsp0hBr34MEDdOnSBcDnAdMvceXcLScnp9LSnwoKCnjz5g0DicRrwYIFsLe3h5ubGycHhgmpLhrMIKQKeDweAgICYG5ujkGDBiE+Ph7r16/nxFLiFi1aIDU1FRoaGiLbw8PDOVUeZcSIEVi9ejUCAwMBfH5Os7Ky4OrqitGjRzOcrua0adMGt2/fZjqGWMydO1fk6/LVJ5cuXcKiRYuYCSUmK1asYDpCjerWrRv27duHnTt3imz39PSsMKOKzVJTU5GWloZ+/fqhUaNGFVYusF14eDhu3LiBTp06MR2lxpS/H9jb2wu3sblM0de4PnA6aNAgxMXFcXIwY8yYMTAyMqpws3vz5s2Ijo7GiRMnGEomPvr6+oiPj8fevXshKSkpXPE2e/ZstGjRgul4YnHmzBkcP34cPXv2FLmpqK+vj7S0NAaTiQfXX2MsLCxw+vTpCuedZ8+exfDhwxlKJR52dnYAPk8e6t27d4WBKK7o378/0xFqXF0YsNHR0cGlS5cq3I/5+++/OXEP49mzZ3BycqKBDEK+gcpMEfIN8fHxFba9f/8eEyZMgLm5OWbOnCnczuaZmps2bYK/vz98fHxgYmKCixcvIjMzE/PmzcPy5cs5MWADfJ5JNXToUDx8+BDv379Hy5Yt8eLFC/Tq1Qt///13heW3bPP1qhOBQIAXL15g5cqVSEpKQmxsLDPBfoHdu3fjzp07nOivcffuXWFDSX19fXTu3JnpSGIRERGBwYMHo1u3bhg0aBCAzw00b9++jStXrqBv374MJ6yenJwcjB07FqGhoeDxeHj06BG0tLTg4OAAJSUlbN26lemIYqGvr48jR45w5veyMpmZmd/dT2WKarc3b97Azs4O3bt3R4cOHSrcjLOwsGAoWfU1bdoUISEhMDAwENl+//59DB48GC9fvmQoGfkRsrKyePDgAbS0tETKnsbFxaFfv37Iz89nOiL5jrVr12LLli3o06ePcJVCVFQUIiIisGDBApF+C2zuY8Pn85Gamlpprf7KVvTXdvHx8ejQoQMkJCQqvcb/Epuv6+sSHx8fzJkzB4sWLRKWc7127Rq2bt0KDw8PTJ06leGE1TNq1CiMHz8eY8eOZToKIbUSDWYQ8g0SEhLC2ZjlvvyaSzM1ly5dCnd3d2HfCCkpKSxcuBBr1qxhOJn4hYSEICYmBnw+H127dhXeWGW78t/XLwkEAqiqquLYsWOcWBb+Lenp6ejUqVOlZcTY4tWrVxg/fjyuX78OJSUlCAQC5Ofnw9jYGMeOHeNEKbTY2Fhs3rwZsbGxkJGRQceOHbFkyRLo6uoyHa3abG1t8erVK3h7e6Ndu3bCm1NXrlzBvHnz8PDhQ6YjisWVK1ewdetWeHl5VVjNR0htEBwcDBsbG7x//77CPrafr8nIyCA2NhZ6enoi25OSktC5c2fWluz7rxuLX+LCTcb+/ftjzJgxcHR0FPYF0dTUxJw5c5CamopLly4xHbHa8vLyEBQUhLS0NCxatAiNGjVCTEwMmjVrhlatWjEdr1o0NTWr9Dgej8fa8qdRUVGwsrJCZmZmhRWmbH0dlZCQQHZ2NlRUVCq9xi/H1uOrzO3bt3HixAlkZWWhuLhYZN+pU6cYSiVee/fuFelVo6GhgZUrV3KiOfaBAwewevVqTJ48udKyp2yenEGIONBgBiHf8F+zM7/E1pmaZWVlCA8Ph4GBAaSlpZGQkAA+nw99fX3IyckxHU8sbt26hdzcXAwZMkS4zd/fHytWrEBhYSEsLS2xc+dOSElJMZiy+sLCwkS+lpCQQNOmTaGjo4N69bhdUXDTpk3Ys2cPHj9+zHSUnzZu3DikpaXh0KFDwibZCQkJsLOzg46ODgICAhhOSL6nefPmuHz5MgwNDUVm2mZkZMDAwAAfPnxgOqJYKCsro7CwEKWlpZCVla1wYcWVZoSHDh2Cp6cnMjIyEBkZCXV1dXh4eEBTUxMjRoxgOt4Pa9SoEVJSUtCkSZP/7OPC9udQQ0MDw4YNw7Jly9CsWTOm44hVt27dMHz4cCxfvlxk+8qVK3Hu3DncvXuXoWTV8+WNxS9/N7+cPFSOCzcZb968CTMzM1hbW8PPzw/Tp0/Hw4cPERkZibCwMNaXXoyPj8fgwYOhqKiIx48fIzk5GVpaWli2bBkyMzNx8OBBpiOS/9CpUye0adMGq1atqrQ/VmV9Cmq7zMxMqKmpgcfj1YkVmMeOHYOtrS1MTU1x9epVmJqa4tGjR8jOzsbIkSM5sZr9S69fv4aMjAxn7l8A/29UXxkuDboR8rO4fYeLkGrgwonMf5GUlMTvv/+OxMRENGrUCEZGRkxHEruVK1diwIABwsGM+/fvY+rUqbCzs0O7du2wefNmtGzZEitXrmQ2aDXxeDz07t27wsBFaWkp/v33X1YuCf9a586dK9zoyM7OxuvXr7Fnzx4Gk1XfpUuX8M8//wgHMoDPJX12794NU1NTBpP9vHfv3gnLLfzXqpkvyzKwUUFBQaU1bd+8ecP6gdIveXh4MB2hxu3duxfLly/H3LlzsW7dOuHFopKSEjw8PFg5mOHu7g55eXkA3H8Oc3JyMG/ePM4NZADAsmXLMHr0aKSlpYmU1AgICGB1v4yMjAzh5/fu3cPChQuxaNEi4YrSyMhIbN26FZs2bWIqolj17t0bERER2LJlC7S1tXHlyhV06dIFkZGRFUqIsdH8+fMxadIkbNq0Sfi6AwBDhgyBlZUVg8nE4/r16xgwYADTMWrUo0ePEBQUxKneQ19e19eFa3w3Nze4u7tj9uzZkJeXx/bt26GpqYnp06dzpv/Ql7iwgv1rX5d3I4SIopUZhPyAhISESpdqsnmZX7du3bBhwwbOlFv6WosWLXDu3DnhQM3SpUsRFhaG8PBwAMCJEyewYsUKJCQkMBmz2iQlJfHixQuoqKiIbM/JyYGKigonZm+sWrVK5Ovy1ScDBgxA27ZtGUolHvLy8pU2Vr537x769+/PyhJaX/5OVlYGDQDrS/U9ffoUrVu3xtChQ9G1a1esWbNGWDZEXV0d48ePB5/PR1BQENNRSRXp6+vDzc0NlpaWIqtsHjx4gAEDBuDNmzdMRyTfYWdnh759+2LKlClMR6kRFy5cgJubm0i5vhUrVnCmoW337t2xcuVKDB06VGT7xYsXsWzZMtauPqlLFBUVERMTA21tbZHX0MzMTOjp6QlL2rKVtLQ0WrVqhcmTJ8POzg6qqqpMRxK7gQMHYvHixTAzM2M6So3i4nV9uYYNG+Lhw4fQ0NBAkyZNEBoaCgMDAyQmJmLgwIF48eIF0xF/SpcuXXDt2jUoKytXmOT2tZiYmF+YjBDyq9HKDEKqID09HSNHjsT9+/cr9M0A2L3sfd26dcL+GF27dq3QCJvtM6bfvn0rMkMzLCxM5OS8W7duePLkCRPRxOrr8gzlcnJyWN/cvNyKFSuYjlBjBg4cCGdnZwQEBKBly5YAgGfPnmHevHmsHWgMCQlBo0aNAAChoaEMp6kZHTp0wM6dO7F161b0798fd+7cQXFxMRYvXoyHDx8iNzcXERERTMeslrq0wgb4PEu8sgbnUlJSKCgoYCBRzfn48SNKSkpEtrH9OWzTpg2WLFkiLKH5dSk0NjfkBQBzc3OYm5szHaPG3L9/v9KeBJqamqyedPIjExLY/jcoLS1d6fEmJydzYvb08+fPcfjwYfj5+WHlypUYNGgQHBwcYGlpiQYNGjAdTywcHR2xYMECZGdnV/o6yvbeNVy+ri/XqFEjYe+oVq1a4cGDBzAwMEBeXh4KCwsZTvfzRowYIVzxbGlpyWyYGrZ69erv7v+65CQhdQ2tzCCkCoYPHw5JSUns378fWlpaiI6ORk5ODhYsWIAtW7agb9++TEf8aV/WY/y6hA+bZ0yXU1dXx6FDh9CvXz8UFxdDSUkJ586dE94gvn//Pvr378/aOuGjRo0CAJw9exZmZmYiJW3KysoQHx8PPT09TjSU/BLXbsI9efIEI0aMwIMHD6Cqqgoej4esrCwYGBjg7NmzaN26NdMRf1ppaSnWrVsHe3t7zs1g3LNnD1xdXWFiYgIPDw94e3vj7t274PP56NKlC2bPns365fx1YYXNl/T19bF+/XqMGDFCZFbxjh074O/vz/qZ4QUFBXBxcUFgYCBycnIq7Gf7c/i95rxsbshbV3Tp0gXt2rXDgQMHIC0tDQD49OkT7O3tkZiYyNqZtt967fwSV15Hp02bhtevXyMwMBCNGjVCfHw8JCUlYWlpiX79+nGq1F1sbCx8fHwQEBAAPp8Pa2trODg4wNDQkOlo1VJZrf4v+9qw/XeUy9f15aysrGBkZIT58+dj3bp12L59O0aMGIGrV6+iS5cunGkAzmVfT6wpKSlBRkYG6tWrB21tbda+HxIiLrQyg5AqiIyMREhICJo2bQoJCQlISEjgt99+w/r16+Hk5IR79+4xHfGncXXGdDkzMzO4urpi48aNOHPmDGRlZUVOUuPj46Gtrc1gwuopb8InEAggLy8PGRkZ4b4GDRqgZ8+emDp1KlPxxIrLN+FUVVURExODq1evIikpCQKBAPr6+hg8eDDT0aqtXr162LJlC+zs7JiOInazZs3CkCFD4ODggG7dusHLy6tCOTS2qwsrbL60aNEizJ49G0VFRRAIBIiOjkZAQADWr18Pb29vpuNV2+LFixEaGoo9e/bA1tYWu3fvxrNnz+Dl5YUNGzYwHa/avuy/wAV1qXk7AHh6emL48OFQVVUV3hCOi4sDj8fD+fPnGU738+rCa2e5LVu2YOjQoVBRUcHHjx/Rv39/ZGdno1evXli3bh3T8cSqU6dOcHV1RaNGjbBhwwb4+Phgz5496NWrFzw9PdG+fXumI/4Urr2Ofo3L1/Xldu3aJSzptmTJEtSvXx/h4eEYNWoUli1bxnA6UhWV/R6+e/cOkyZNwsiRIxlIREjtQiszCKkCZWVl3L17F1paWtDW1oa3tzeMjY2RlpYGAwMDVi/X/J7Y2NgKNfzZ5vXr1xg1ahQiIiIgJycHf39/kROAQYMGoWfPnqy/wFq1ahUWLlzImZJSlZk9ezZCQ0OxevXqSm/CWVtbMx2RfIOlpSUsLS0xadIkpqPUmF27dmHevHlo164d6tUTnSvCldlTWVlZwpVDXxIIBHjy5AnU1NQYSiZe+/fvx9q1a4UlCFu1aoWVK1fCwcGB4WTVp6amhoMHD2LAgAFQUFBATEwMdHR0cOjQIQQEBODixYtMRyRf8Pf3x/jx4yElJQV/f//vPpYrA8aFhYU4fPiwyMC+lZUVp89vuCgkJAQxMTHClYpcmJxRrqSkBGfPnoWPjw+uXr0KIyMjODg4YMKECcjNzYWLiwtiY2NZXRqNy+rqdT0X/Neg/pe4MMBfmQcPHmDYsGF4/Pgx01EIYRQNZhBSBX379sWCBQtgaWkJKysrvH37Fn/99Rf27duHu3fv4sGDB0xHFJv8/HwcOXIE3t7eiIuLY/Vs9y/l5+dDTk4OkpKSIttzc3MhJyfHmTq3XMblm3A7duyodDuPx4O0tDR0dHTQr1+/Cr+/bOHl5YWVK1fC2tq60t48bG+2mJmZiUmTJiEhIQHTpk2rMJjBlX4vX5ac+lJOTg5UVFQ4835R7s2bN+Dz+RWOl83k5OTw8OFDqKuro3Xr1jh16hS6d++OjIwMGBgY4MOHD0xH/GHz58/HmjVr0LBhQ8yfP/+7j922bdsvSkXI/8XHx6NDhw6QkJBAfHz8dx/L9n4ElcnLy4OSkhLTMapl4MCBOHXqFJYtW4aAgAAAwMSJEzFlyhR06NBB5LFZWVnQ0NAAn89nIqpYHDp0CJ6ensjIyEBkZCTU1dXh4eEBTU1NjBgxgul41cLl6/rnz59j27ZtWL58eYXyu/n5+Vi7di0WLlwo0k+STf5rUP9LXBng/1p4eDiGDx+Ot2/fMh2FEEZRmSlCquCvv/4SNv5cu3Ythg0bhr59+6Jx48Y4duwYw+nEIyQkBD4+Pjh16hTU1dUxevRoHDhwgOlYYlNejulr5eVTuCAoKAiBgYHIyspCcXGxyD4uzAzPzc0V1kNXUFAQzrj57bffMHPmTCajVZu7uztev36NwsJCKCsrQyAQIC8vD7KyspCTk8OrV6+gpaWF0NBQVvadKH9+KruRyPb6y/v378eCBQswePBgPHjwgBMNTr+lvF721z58+CCsb88lTZo0YTqC2GlpaeHx48dQV1eHvr4+AgMD0b17d5w7d461Nxvv3bsn7KH0vfIgVZ3NWZvx+Xykpqbi1atXFW6U9uvXj6FU1RMcHFzlx7J14LtTp07Izs6GiooKOnXqJNJ0+Etsfz8EgI0bN0JDQwPjxo0DAIwdOxYnT55E8+bNcfHiRdb2kwgLC0NxcTESEhKwc+dOjB49+psToVq2bMnq0mJ79+7F8uXLMXfuXKxbt074O6mkpAQPDw/WD2Z877r++PHjDKernm3btuHdu3eV9hFUVFTE+/fvsW3bNmzcuJGBdNXH1QGKynw90U0gEODFixc4dOgQzMzMGEpFSO1BKzMI+Um5ubk/tNSxNnr69Cn8/Pzg4+ODgoICjB07Fp6enoiLi4O+vj7T8cgP2LFjB5YuXQo7Ozvs378fkydPRlpaGm7fvo3Zs2ezvowW8Hm24s6dO9G/f3+YmpqiY8eO2LJlC3bs2IFNmzbh6dOnTEf8aQEBAdi3bx+8vb2FPVxSU1Mxffp0TJs2DX369MH48ePRvHlzBAUFMZyWlDMzM0N0dDQ8PDxga2vLdJwaUz7bffv27Zg6dSpkZWWF+8rKynDr1i1ISkoiIiKCqYjV0rlz5yq/l7N9YNjd3R2SkpJwcnJCaGgozM3NUVZWhtLSUmzbtg3Ozs5MRyTfEBUVBSsrK2RmZla4Ec7mm+CVNRuuDJuPMTMzE2pqauDxeMjMzPzuY9XV1X9RqpqhpaWFw4cPo3fv3rh69SrGjh2L48ePCyfbXLlyhemIP0VCQkI4IMV1+vr6cHNzg6WlJeTl5REXFwctLS08ePAAAwYMwJs3b5iOKHZcuK4HgA4dOsDT0xO//fZbpftv3ryJqVOn4uHDh784Wc0oKyvDmTNnkJiYCB6PB319fVhYWLB2JfuXyifwlZOQkEDTpk0xcOBALFmyBPLy8gwlI6R2oJUZhHyHvb19lR7n4+NTw0nEb+jQoQgPD8ewYcOwc+dOmJmZQVJSEp6enkxHIz9hz5492LdvHyZMmAB/f38sXrwYWlpaWL58Oetrhqanp0NDQwOTJ09GXFwc+vfvjyVLlsDc3Bw7d+4U3oRjs7/++gsnT54UaUavo6ODLVu2YPTo0UhPT8emTZswevRoBlP+nMzMTFy5cgWlpaXo378/pwZKy8rKEB8fj9atWzMdpUaVz3YXCAS4f/++yGzUBg0awNDQEAsXLmQqXrVZWloKPy8qKsKePXugr6+PXr16Afh8E/nhw4eYNWsWQwnFZ968ecLPjY2NkZSUhDt37kBbW5u1M6brihkzZsDIyAgXLlxAixYtWH/TrRybS/FUlbq6Ovr164fg4GDhYEVwcDBMTEwgIyPDcDrxevHihXAF6fnz5zF27FiYmppCQ0MDPXr0YDhd9bx///4/VyFWNiOebTIyMtC5c+cK26WkpIQrGriGKyv1MzIyvtu/rHXr1pzptZCamoqhQ4fi2bNn0NPTg0AgQEpKClRVVXHhwgWRayo2ysjIYDoCIbUaDWYQ8h1+fn5QV1dH586dK10OzmZXrlyBk5MTZs6cCV1dXabjkGrKyspC7969AQAyMjJ4//49AMDGxgY9e/bErl27mIxXLbq6unjx4oXwJty4ceOwY8cOTt2Ee/HiBUpLSytsLy0tRXZ2NoDPZQvKn1e2+PfffzF06FBhM8V69erB398fEyZMYDiZeFy9epXpCL9EebmMyZMnY/v27Zy4WfOlL3uaTJkyBU5OTlizZk2Fx5Q3BOcSNTU1zjRuL3f79m2cOHGi0pKLp06dYihV9T169AhBQUHQ0dFhOgr5CeHh4SK/jxMnTkRsbCy0tLQYTCV+ysrKePLkCVRVVXHp0iWsXbsWwOfBcLaurCnXpk2bb+4rL8PI9mMEPs8Ij42NrbBK6O+//2bthJRRo0ZV+bFsfp+QkZHB48ePv/m+/vjxY84MoDo5OUFbWxtRUVHCwaicnBxMnDgRTk5OuHDhAsMJxefp06fg8Xho1aoV01EIqTVoMIOQ75gxYwaOHTuG9PR02NvbY+LEiZyZuXHjxg34+PjAyMgIbdu2hY2NjbC+LWGf5s2bIycnB+rq6lBXV0dUVBQMDQ2RkZHB+oG4r/NfvHgR69evh5aWFmduwhkbG2P69Onw9vYWzoa7d+8eZs6ciYEDBwIA7t+/X2HJcW23bNkyGBsbw8vLCzIyMliyZAkWL17MmcGMusbX15fpCDXuxIkTuHPnToXtEydOhJGREStXYn5dd/l7nJycajBJzTt27BhsbW1hamqKq1evwtTUFI8ePUJ2djZGjhzJdLxq6dGjB1JTUzk/mBEWFoYtW7YIy4a0a9cOixYtQt++fZmOJlZsPzf7llGjRsHKygq6urrIycnBkCFDAACxsbGs/90NCgrizHXg9yxatAizZ89GUVERBAIBoqOjERAQgPXr18Pb25vpeD/lW70TuaZHjx44dOjQN3soHTx4EN27d//FqWpGWFiYyEAGADRu3BgbNmxAnz59GEwmHnw+H2vXrsXWrVvx4cMHAIC8vDwWLFiApUuXVrlEIyFcRYMZhHzHnj174O7ujlOnTsHHx0dY2sbBwQGmpqasXuLfq1cv9OrVC9u3b8exY8fg4+OD+fPng8/n4+rVq1BVVaVajCwycOBAnDt3Dl26dIGDgwPmzZuHoKAg3Llz54dmIxFmHDhwADY2NujatSvq168P4POqjEGDBuHAgQMAADk5OWzdupXJmD/s/v37+Pfff9GyZUsAwNatW7F//368ffsWysrKDKcjP4Ors97LycjIIDw8vMKKxfDwcNY2OXd3d6/S43g8HusHM9zc3ODu7o7Zs2dDXl4e27dvh6amJqZPn44WLVowHe+HxcfHCz93dHTEggULkJ2dDQMDA+F7RbmOHTv+6nhid/jwYUyePBmjRo2Ck5MTBAIBbt68iUGDBsHPzw9WVlZMRyT/wd3dHRoaGnjy5Ak2bdoEOTk5AJ9XoLK9VF+fPn3qRM+MyZMno7S0FIsXL0ZhYSGsrKzQqlUrbN++HePHj2c63k+pC5MxAGDhwoUwMTGBoqIiFi1ahGbNmgEAXr58iU2bNsHPz4+1fWu+JiUlVemK9Q8fPoiUQ2WrpUuX4sCBA8LBGYFAgIiICKxcuRJFRUWc6IdJSHVQA3BCfkBmZib8/Pxw8OBBlJSUICEhQXiSzgXJyck4cOAADh06hLy8PJiYmCA4OJjpWKQK+Hw++Hw+6tX7PEYdGBiI8PBw6OjoYMaMGaw+qZOUlER2djaaNm0K4POslPj4eNatUqiKpKQkpKSkQCAQoG3bttDT02M6UrVU1jCTy88f1/3XrHcu3CzYsGEDVq5ciSlTpqBnz54APvfM8PHxwfLly+Hq6spwQvI9DRs2xMOHD6GhoYEmTZogNDQUBgYGSExMxMCBA/HixQumI/4QCQkJ8Hi8b87iL9/HlfI27dq1w7Rp00R6uwDAtm3bsH//fiQmJjKUrPokJCTg7+8vnCE+YcIEeHh4CG82lrOwsGAiHvkPdakB+JfevHkDPp/PieMuKirClStXYGxsXGHC3rt373D9+nX8/vvvkJKSYiiheHh5ecHZ2RklJSVQUFAAj8dDfn4+6tevD3d3d8ycOZPpiGJha2uLmJgYHDhwQLja5NatW5g6dSq6du0KPz8/ZgNWU8uWLeHp6VnhPeHs2bOYNWsWnj17xlAyQmoHGswg5AdkZWXBz88Pfn5+KC4uRlJSEqcGM8qVlZXh3Llz8PX1xdmzZ5mOQ6ogKysLqqqqFVYLCQQCPHnyhNXlmCQkJDBkyBDhxcW5c+cwcOBANGzYUORxXJgVXlxcjIyMDGhrawsHpthMQkICISEhIkvAe/fujcDAQJGm2VyYUVwXdOzYEdOnTxfOeo+LixOZ9b5q1SqmI4pFYGAgtm/fLrxx2q5dOzg7O2Ps2LEMJ6ued+/eQU5OrkJpAj6fjw8fPnCiF4qqqiouXrwIAwMDGBoawtXVFRMmTEBkZCTMzMyQn5/PdMQfkpmZWeXHfl3fno2kpKTw8OHDCuWIUlNT0aFDBxQVFTGUrPqqUhKEK4NShw4dgpeXF9LT0xEZGQl1dXV4eHhAU1MTI0aMYDreT9HU1MSdO3fQuHFjpqOQn7R9+3YEBwfj2rVrle4fPHgwLC0tMWfOnF+cTPyePXuGwMBApKamQiAQoE2bNhgzZozIuTfb5eXlwc7ODufOnRNZ1W5hYQE/Pz/WlxaTlpZGfHx8hV49ycnJ6NSpEz5+/MhQMkJqByq0Rsh/+PTpEwICAmBiYgI9PT3cv38fu3btQlZWFicGMuzt7Sss0ZSUlISJiQmdsLOIpqYmXr9+XWF7bm4u62fA29nZQUVFBYqKilBUVMTEiRPRsmVL4dflH2xWWFgIBwcHyMrKon379sjKygLwuX79hg0bGE5XPYMGDUKnTp2EH4WFhRg2bBg6d+6MTp06CXuEkNovLS0N5ubmAD7fdCwoKACPx8O8efOwb98+htOJz9ixYxEREYHc3Fzk5uYiIiKC9QMZp0+fhpGRUaU3g4uKitCtWzecO3eOgWTi1bdvX1y9ehXA5+fR2dkZU6dOxYQJEzBo0CCG0/248j5YVfngAlVV1UpvNF67dg2qqqoMJBKf8hW03/vgwkDG3r17MX/+fAwZMgR5eXnCY1JSUoKHhwez4aohIyMDjRs3xsCBA5GXl1dh/7t374Q9ztguJycHs2fPhr6+Ppo0aYJGjRqJfLDVkSNHMHfu3G/unzt3Lg4ePPjrAolZly5d8PbtWwCfy9dOnz4du3fvxp49ezB37lxODWQAn19Tzp49i5SUFAQFBeHEiRNITk7G6dOnWX9dCACGhobYtWtXhe27du2CoaEhA4kIqV1oZQYh3zFr1iwcO3YMampqmDx5MiZOnMi5G/ySkpJ48eJFheXDb968QfPmzVFaWspQMvIjJCQk8PLlS2EppnKZmZnQ19dHQUEBQ8lIVTg7OyMiIgIeHh4wMzNDfHw8tLS0EBwcjBUrVuDevXtMR/wpVZ1VzJUbcVzHtVnvdYmpqSnGjh2LKVOmVLrfx8cHx48fx+XLl39xMvHKzc1FUVERWrZsCT6fjy1btghLLi5btoz1vXoOHToET09PZGRkcGbG+5f27t2LuXPnwt7eHr179waPx0N4eDj8/Pywfft2TJ8+nemI1fbvv/+id+/eFVZflpWVISIi4puNe9lCX18fbm5usLS0FK7g09LSwoMHDzBgwAC8efOG6YjV8q1yU69evUKrVq1QUlLCUDLxGTJkCNLS0uDg4IBmzZpVWPVtZ2fHULLqUVZWRlxc3DdXq2dlZcHQ0FA4IMA2MjIyePToEVq3bl2hRC+X8Pl8bN26FWfOnEFJSQkGDx6M5cuXs7av2beEhYXB3Nwcampq6NWrF3g8Hm7evIknT57g4sWL6Nu3L9MRCWEU+2tYEFKDPD09oaamBk1NTYSFhSEsLKzSx7GxvM27d+8gEAggEAjw/v17kROAsrIyXLx4kRP1Ublu/vz5AD6XJli2bBlkZWWF+8rKynDr1i106tSJoXSkqs6cOYPjx4+jZ8+eIheN+vr6SEtLYzBZ9dAgBbeUz3o3MDAQznoPCQnB1atXWTnrvVyjRo2QkpKCJk2aQFlZucKNmy/l5ub+wmTi8+DBA+zZs+eb+/v164e//vrrFyaqGV/OGpaQkMDixYuxePFiBhOJz969e7F8+XLMnTsX69atqzDjnQuDGTNnzkTz5s2xdetWBAYGAvhc5u348eOcOD4AMDY2rnQSUV5eHoyNjVm/OiMjI6PSFZflq/nYKj4+Xvh5QkICsrOzhV+XlZXh0qVLaNWqFRPRxC48PBzh4eGcm/1dWlqK169ff3Mw4/Xr16yexNepUydMnjwZv/32GwQCATZv3vzNKhLLly//xenEZ+PGjfjrr78waNAgyMjIYNu2bXjz5g2nVggDQP/+/ZGSkoLdu3cjKSkJAoEAo0aNwqxZs9CyZUum4xHCOBrMIOQ7bG1tv3tTg82UlJTA4/HA4/Eq1GIEPt8c50r9cy4rn7EvEAhw//59kUbfDRo0gKGhIRYuXMhUPFJFr1+/rnTwsLyMDxfcuHEDXl5eSEtLQ1BQEFq1aoVDhw5BU1MTv/32G9PxSBXs2rVLWKZoyZIlqF+/PsLDwzFq1CgsW7aM4XQ/z93dXdgM1N3dnTN/c196+/btd2/SlJSUsHY26rt376r8WDb3Bdm5cyf2798PS0tLkfKDRkZGnHqfHzlyJEaOHMl0jBpT3rD9azk5ORV6gbGRpqYmYmNjK0xm+Pvvv6Gvr89Qqurr1KmT8LqpsnJSMjIy2LlzJwPJxK9t27acrMffvn17/PPPP+jatWul+69evYr27dv/4lTi4+fnhxUrVuD8+fPg8Xj4+++/K+2/x+PxWD2Y4efnh507d2LWrFkAgEuXLsHS0hJeXl6cOH9LT0+HpqYmeDweWrZsiXXr1jEdiZBaiQYzCPkOPz8/piPUmNDQUAgEAgwcOBAnT54Umc3YoEEDqKur06g/C4SGhgIAJk+ejO3bt7P6Rk1d1q1bN1y4cAGOjo4AIDwZ379/P3r16sVkNLE4efIkbGxsYG1tjXv37uHTp08AgPfv38PNzQ0XL15kOCGpiu/Nei8sLGQqVrV9WTJj0qRJzAWpQRoaGrhz5w7atm1b6f47d+6wdiVV+eSM7ym/gczmWe9cnfFeV4waNQrA5/f3SZMmQUpKSrivrKwM8fHx6N27N1PxxGbRokWYPXs2ioqKIBAIEB0djYCAAKxfvx7e3t5Mx/tpGRkZEAgE0NLSQnR0tEj5ngYNGkBFRQWSkpIMJhSfPXv2wNXVFcuXL0eHDh2EzZXLsfVaw97eHvPnz0f79u0xbNgwkX3nzp3D2rVrsW3bNobSVZ+enh6OHTsG4PM52rVr1zhZZSEzM1Pk+fv9998hEAjw/PlzTqyO0tXVFVm9N27cOOzYsQPNmjVjOBkhtQsNZhBSR/Xv3x/A55NzVVVVSEhIMJyIVIevr6/I15mZmSgoKEDbtm3puWWB9evXw8zMDAkJCSgtLcX27dvx8OFDREZGfrO8HZusXbsWnp6esLW1FV5oAUDv3r2xevVqBpOR6ioqKsKePXuwadMmkbIbbHXx4kVISkri999/F9l+5coVlJWVYciQIQwlq55Ro0Zh6dKlMDExqXBBnJ2djb/++gsTJ05kKF31lA/qcx1XZ7wD+M/ybuXYWuYNgLAhrUAggLy8PGRkZIT7GjRogJ49e2Lq1KlMxRObyZMno7S0FIsXL0ZhYSGsrKzQqlUrbN++HePHj2c63k8r/7vj8/kMJ6l5SkpKyM/Pr7AChe2DwtOmTcO///4LCwsLtG3bFnp6euDxeEhMTERKSgrGjh2LadOmMR1TLLj8e1pcXCzy+snj8dCgQQPhRCm2+7ql8cWLF7F+/XqG0hBSe9FgBiF1nLq6OvLy8hAdHY1Xr15VOPmxtbVlKBmpCn9/f7x9+xZz584Vbps2bRoOHDgA4PMsncuXL0NVVZWhhKQqevfujYiICGzZsgXa2tq4cuUKunTpgsjISBgYGDAdr9qSk5MrbWqqoKCAvLy8Xx+I/JDi4mKsWrUKV65cQf369bF48WJYWlrC19cXS5cuBY/Hg7OzM9MxxcLV1VWkhE85Pp8PV1dX1g5muLq64uzZs9DV1cXEiRNFbuIcOXIEqqqqcHV1ZTrmTymfnMF1XJ3xDgAeHh7CzwUCAWbOnInVq1dzalaxr6+vsFfdzp07haXtuKS0tBRHjhzB8OHDMXXqVLx58wZ8Pp9TzyMApKSk4Pr165VeN7G5fE85a2trNGjQAEePHq20ATibHT58GBYWFjh69ChSUlIgEAigp6eHVatWYezYsUzHE5sTJ04gICAAKSkp4PF40NXVhZWVFcaMGcN0NLH4uk9kcXEx1q1bJxw0BsDqVTaEkP/GE3w99EcIqVPOnTsHa2trFBQUQF5eXuSElcfjsXoWXF3Qq1cvTJs2DZMnTwbwuW7o8OHD4efnh3bt2mHOnDnQ19dn/Y0Owm7a2trw8vLC4MGDIS8vj7i4OGhpaeHgwYPYsGEDEhISmI5IvuPPP//E7t27YWJigoiICLx58wb29va4fv06/vzzT1hZWVUoQ8FWMjIySExMhIaGhsj2x48fo3379qwu55Ofn48lS5bg+PHjwv4YysrKGDduHNzc3KCkpMRswGp49OgRli9fDi8vrwolUPLz8zFz5kysXbsWWlpaDCX8eaWlpcK65/v378fatWvx5MkTAECrVq2wcuVKODg4MBlR7L58n+ASPp8PaWlpPHz4ELq6ukzHqRGysrJITExkbdm6/7J//37MnDkTTZo0QfPmzStcN8XExDCYTjxkZWVx79496OnpMR2F/CA+n48JEybgxIkTaNOmDdq2bQuBQICkpCSkpqbijz/+QEBAAKsHqAYMGPCf+Xk8HkJCQn5RIvGSlJREdna2sJSdvLw84uPjoampyXAyQmoXWplBSB23YMEC2Nvbw83NTWSGA2GHlJQUGBkZCb8+e/YsLCwsYG1tDQBwc3MTDnSQ2ktSUlKkPmq5nJwcqKiosHZJf7np06fD2dkZPj4+4PF4eP78OSIjI7Fw4UJOzGLkusDAQPj5+WHkyJGIi4tD586d8e7dOzx8+LDS5pJspqioiPT09AqDGampqaxvzquoqIg9e/Zg9+7dePPmDQQCAZo2bcrqmxrlNm/eDFVV1UpruSsqKkJVVRWbN2/G3r17GUhXPS1atICdnR0cHBwwdepUTs945zoJCQno6uoiJyeHs4MZPXr0wL179zg7mLF27VqsW7cOLi4uTEepMUZGRnjy5EmdGMwwNzeHt7c3WrRowXQUsfDw8MA///yD4ODgCn1BgoODhT0Wv1zRzzbXr19nOkKNEggEIn2VioqKMGPGjArnoKdOnWIiHiG1BhVSJ6SOe/bsGZycnGggg6U+fvwocvPm5s2bIuV8tLS0OFHHnuu+tUjy06dPaNCgwS9OI37lZYmMjY3x4cMH9OvXD1OmTMH06dMxZ84cpuOR//DkyRN069YNAGBoaIgGDRrAxcWFcwMZAGBhYYG5c+ciLS1NuC01NRULFiyAhYUFg8nEh8fjoWnTpvDx8UF+fj7TccTi33//xR9//PHN/WPHjmXtLM358+fj3Llz6NChA3r16oUDBw5AWlqaBjJYatOmTVi0aBEePHjAdJQaMWvWLCxYsAC7du1CZGQk4uPjRT7Y7u3bt999reECR0dHODs7w8/PD3fv3uXcc/ilf//9Fx8/fmQ6htj4+flh8+bNFQYygM/nN5s2bRKWIuaK4uJiJCcno7S0lOkoYmFnZwcVFRUoKipCUVEREydORMuWLYVfl38QUtdRmSlC6rhRo0Zh/PjxnKoTWpe0a9cO69atw6hRo/DmzRs0b94ct27dQteuXQEA0dHRsLCwoAGNWmrHjh0AgHnz5mHNmjWQk5MT7isrK8O///6Lx48f4969e0xFFKvCwkIkJCSAz+dDX19f5HhJ7SUhIYHs7GzhzVMuL3nPz8+HmZkZ7ty5g9atWwMAnj59ir59++LUqVOsLsX0NQUFBcTGxnKilI+MjAySkpK+ORs8MzMT7dq1Q2Fh4S9OJj43btyAj48PgoKCAABjxozBlClT0KdPH4aTiR9Xy0wBn0u7FRYWorS0FA0aNBBpZAuwu8k58Pn94ms8Ho/1zaPLOTg4oFu3bpgxYwbTUWoM15/DL3HttUZGRgbJyclQU1OrdH9mZibatm3LiQGcwsJCODo6wt/fH8DnagVaWlpwcnJCy5YtWdsHjBBSNdybUkcI+SHm5uZYtGgREhISYGBgUKHuOVdmonKVra0tZs+ejYcPHyIkJARt27YVDmQAn1dqdOjQgcGE5Hvc3d0BfF6Z4enpCUlJSeG+Bg0aQENDA56enkzFEztZWVmRsmiEPZYvXy5cwVdcXIy1a9dWmBnGhWaLioqKuHnzJq5evYq4uDjIyMigY8eOlTawZzsuzWdSVFREWlraNwczUlNTKy1BxSZ9+/ZF3759sWvXLhw7dgx+fn7o27cvdHV14eDggMWLFzMd8afNnz9f5OvKmrkC3HiN+bLZORdlZGQwHaFG6ejoYNmyZYiKiqr0usnJyYmhZOLD9efwS+rq6pzp+QV8HszIy8v75mDGu3fvKgygstWSJUsQFxeH69evw8zMTLh98ODBWLFiBQ1mEMJxtDKDkDqustk35bg2+4aL+Hw+VqxYgfPnz6N58+bYtm0b2rVrJ9z/xx9/wMzMjHPNQbnG2NgYp06dgrKyMtNRxGbUqFFVfizVfa3duN5ssa7i0ozUsWPHoqSkBKdPn650/4gRI9CgQQOcOHHiFyerWRcuXICtrS3y8vJYfb5mbGz8n4+h15ja7/3794iKikJJSQm6d++OJk2aMB1J7L63IpHH4yE9Pf0XpiFElLm5OdTU1L7ZH2rGjBl48uQJLly48IuTiZ+6ujqOHz+Onj17ipzPpKamokuXLnj37h3TEX8YXTsRUnW0MoOQOo7P5zMdgVSDhIQE1qxZgzVr1lS6n2s3brgqNDSU6QhiR/VcuYPrzRa/5OTkBB0dnQqza3ft2oXU1FROzapOSEhAy5YtmY4hFkuWLEGvXr0wZswYLF68WNi4NikpCZs2bcLly5dx8+ZNhlOKR2FhIY4fPw5fX19ERERAW1sbixYtYjpWtXDxPfB7ysrKcObMGSQmJoLH40FfXx8WFhYiqzPZJj4+HkOGDEF2djYEAgEUFBQQFBSEwYMHMx1NrLi6aiE4OBhDhgxB/fr1ERwc/N3HcmHV/o0bN+Dl5YX09HScOHECrVq1wqFDh6CpqYnffvuN6Xg/benSpRgwYABycnKwcOFCtG3bFgKBAImJidi6dSvOnj3Lmdfb169fV9o7qqCg4D8n4NRWX147CQQCnD59GoqKisJV7Xfv3kVeXt4PDXoQwlW0MoMQIlRUVARpaWmmYxBSJz19+hTBwcHIyspCcXGxyD4ulNYg7FZSUgI9PT2cP38e+vr6TMepMa1atUJwcLBIuT4AiImJgYWFBZ4+fcpQMvHQ0NCAvb09Jk2a9M0yFGx1/vx52NvbIycnR2R748aN4e3tzfobcDdu3ICvry+CgoJQVlaGMWPGwMHBgVMl0K5fv44BAwYwHaNGpaamYujQoXj27Bn09PQgEAiQkpICVVVVXLhwAdra2kxH/ClDhw7F27dvsXXrVkhLS2PVqlVITk5GUlIS09FqRHFxMTIyMqCtrY169dg/P/TL3lhcX7V/8uRJ2NjYwNraGocOHUJCQgK0tLSwZ88enD9/HhcvXmQ6YrWcPn0a06ZNq9B/R1lZGV5eXhg9ejRDycSrf//+GDNmDBwdHUV6uc2ZMwepqam4dOkS0xGrxcXFBbm5uSJliMvKyjBr1iwoKChg8+bNDCckhFk0mEFIHVdWVgY3Nzd4enri5cuXwuZZy5Ytg4aGBpUnqsWUlZWrPPOE7Q0lue7atWuwsLCApqYmkpOT0aFDBzx+/BgCgQBdunRhfWmNjIwMlJaWQldXV2T7o0ePUL9+fWhoaDATjPyQVq1a4Z9//hEpZcc10tLSePDgAXR0dES2p6amokOHDigqKmIomXjs3LkTfn5+iIuLg7GxMRwcHDBy5EhISUkxHU0sPn78iMuXL+PRo0cQCARo06YNTE1Nhf1e2MjNzQ1+fn5ITU1Ft27dYG9vjwkTJrC+B0hlpKWl0apVK0yePBl2dnZQVVVlOpLYDR06FAKBAEeOHEGjRo0AADk5OZg4cSIkJCRYW/5FRUUFFy9eFM4gzsnJgYqKCvLz8yEnJ8dwOvGhpsPs17lzZ8ybNw+2trYi5YliY2NhZmaG7OxspiNWW2FhIa5cuYKUlBQA4MR74ddu3rwJMzMzWFtbw8/PD9OnT8fDhw8RGRmJsLCwCpNS2KZp06YIDw8XrjQtl5ycjN69e1eYuEFIXUODGYTUcatXr4a/vz9Wr16NqVOn4sGDB9DS0kJgYCDc3d0RGRnJdETyDeUXUlVhZ2dXg0lIdXXv3h1mZmZYvXq18MJKRUUF1tbWMDMzw8yZM5mOWC39+/eHvb19hd/Dw4cPw9vbu06VMWKzDRs2ICkpCd7e3pyYiVqZDh06YMaMGZgzZ47I9p07d2Lv3r1ISEhgKJl4xcXFwcfHBwEBASgtLYWVlRXs7e3RpUsXpqP9sEaNGiElJQVNmjSBvb09tm/fDnl5eaZjiU3Tpk0xceJEODg4oEOHDkzHqVG5ubk4fPgw/Pz8EB8fj0GDBsHBwQGWlpZo0KAB0/HEomHDhsLm0V+Ki4tDnz598OHDB4aSVc+XM/vLfTlbmiucnZ0REREBDw8PmJmZIT4+HlpaWggODsaKFStw7949piOS/yArK4uEhARoaGiIDGakp6dDX1+f9ZMWSkpKYGpqCi8vL7Rp04bpODXq/v372LJlC+7evQs+n48uXbrAxcWlwusrGykrK8PX1xeWlpYi28+cOYPJkyfj7du3zAQjpJagwQxC6jgdHR14eXlh0KBBIid0SUlJ6NWrF71REvILyMvLIzY2Ftra2lBWVkZ4eDjat2+PuLg4jBgxAo8fP2Y6YrUoKCggJiam0tnuRkZGyMvLYyYY+SEjR47EtWvXICcnBwMDAzRs2FBkPxeaEfr4+GDOnDlYtGgRBg4cCODzyqmtW7fCw8MDU6dOZTiheJWUlGDPnj1wcXFBSUkJOnToAGdnZ0yePJk1Nafl5OSENxQlJSWRnZ2Npk2bMh1LLLg+UPM9sbGxwgE3Pp8Pa2trODg4wNDQkOlo1dKoUSOcP38evXv3FtkeERGB4cOHs3YlraSkJFJSUoR/ewKBAKqqqggPDxdZfcn2FUVcbDoMADt27KjyY7/uKcU22tra8PLywuDBg0Wew4MHD2LDhg2cmLTQtGlT3Lx5s8KKaMIe8+fPh5+fH/7880/07NkTABAVFYUNGzbA1taWShCTOo+b0+oIIVX27NmzCjcYgc+NwUtKShhIRKrr48ePFZ47tl88cl3Dhg3x6dMnAEDLli2RlpaG9u3bAwDevHnDZDSx4PF4eP/+fYXt+fn5rK+9XJcoKSlxptbyt9jb2+PTp09Yt24d1qxZA+Bzn4m9e/fC1taW4XTiU1JSgtOnT8PX1xdXr15Fz5494eDggOfPn2Pp0qX4559/cPToUaZjVkmvXr1gaWmJrl27QiAQwMnJCTIyMpU+1sfH5xenq57i4mK8e/cOTZo0gb+/PzZu3FhnBjM6deoEV1dXNGrUCBs2bICPjw/27NmDXr16wdPTU/geyTbDhg3DtGnTcODAAXTv3h0AcOvWLcyYMYPVfV3Ky7p9va1z587Cz7nQb4GLTYcBwN3dvUqP4/F4rB/MmD59OpydneHj4wMej4fnz58jMjISCxcuxPLly5mOJxa2trY4cOAANmzYwHSUGhMTE4P69esLV2GcPXsWvr6+0NfXx8qVK1m/mm/Lli1o3rw53N3d8eLFCwBAixYtsHjxYixYsIDhdIQwjwYzCKnj2rdvjxs3bkBdXV1k+4kTJ4QXIKT2KygogIuLCwIDAyutocn2i0eu69mzJyIiIqCvrw9zc3MsWLAA9+/fx6lTp4Szcdisb9++WL9+PQICAkSa2K1fvx6//fYbw+lIVfn6+jId4ZeYOXMmZs6cidevX0NGRkZY7/3169esn/EfExMDX19f4d+ijY0N3N3d0bZtW+FjTE1NWdVU+vDhw3B3d0daWhp4PB7y8/NZXyakHJcHar6lpKQEZ8+ehY+PD65evQojIyPs2rULEyZMQG5uLlxcXPDHH3+wdvb0jh07YGdnh169eqF+/foAgNLSUlhYWGD79u0Mp/t5oaGhTEf4Jbp164YLFy7A0dERAIQDGPv370evXr2YjFYtGRkZTEf4ZRYvXoz8/HwYGxujqKgI/fr1g5SUFBYuXFihxCRbFRcXw9vbW/ga+vVKWi7M6p8+fTpcXV1hYGCA9PR0jBs3DqNGjcKJEydQWFgIDw8PpiNWi4SEBBYvXozFixcLV3zR5ERC/o/KTBFSx507dw42NjZYsmQJVq9ejVWrViE5ORkHDx7E+fPnYWJiwnREUgWzZ89GaGgoVq9eDVtbW+zevRvPnj2Dl5cXNmzYAGtra6Yjku9IT0/Hhw8f0LFjRxQWFmLhwoUIDw+Hjo4O3N3dKww2sk1CQgL69esHJSUl9O3bFwBw48YNvHv3DiEhIZyvA88lpaWluH79OtLS0mBlZQV5eXk8f/4cCgoKnGryWk4gEODvv/+Gt7c3Lly4IFxBxVaSkpIwMTER9iEov5n6pYKCAsyZM4eVg1eampq4c+cOGjduzHQUsXj58qVwoObUqVP4/fffv9ms/fTp0784nfg5OjoiICAAADBx4kRMmTKlwvtDVlYWNDQ0wOfzmYgoNo8ePUJiYiIAQF9fv9JV0qT24XrT4a+V3ypi86qTbyksLERCQgL4fD709fU5dQ5jbGz8zX08Hg8hISG/ME3NUFRURExMDLS1tbFx40aEhITg8uXLiIiIwPjx4/HkyROmIxJCahANZhBCcPnyZbi5uYk0z1q+fDlMTU2ZjkaqSE1NDQcPHsSAAQNE+hMcOnQIAQEBuHjxItMRSR33/Plz7Nq1C3FxcZCRkUHHjh0xZ84cNGrUiOlopIoyMzNhZmaGrKwsfPr0CSkpKdDS0sLcuXNRVFQET09PpiOKTXp6Onx8fODv748PHz7A3Nwco0ePxsiRI5mOVi2ZmZmsHxytq7g2UFOZQYMGYcqUKRg9evQ3S4SUlpYiIiIC/fv3/8XpxI+LN4q5XvoF4HbT4XIHDhyAu7s7Hj16BADQ1dXF3LlzMWXKFIaTEfKZgoIC7t69C11dXZiYmGDYsGFwdnZGVlYW9PT08PHjR6YjVoumpuZ33xvS09N/YRpCah8azCCEEA6Qk5PDw4cPoa6ujtatW+PUqVPo3r07MjIyYGBggA8fPjAdkVTi7du3OHz4MOzs7CosHc7Pz8fBgwcr3UcIEywtLSEvL48DBw6gcePGwqaZYWFhmDJlivCmB1sVFRUhKCgI3t7eiIqKgomJCf7++2/ExsZyZvXQ7du3wefz0aNHD5Htt27dgqSkJIyMjBhKVn2lpaVwd3dHQEAAUlJSwOPxoKurCysrKzg7O1e6CoUQJnD5RnG3bt3g6uqK0aNHIz09He3bt8fIkSNx+/ZtmJubs770S12wbNkyuLu7w9HRUVg6KzIyErt27YKzszPWrl3LcMLqGTlyZKU3iXk8HqSlpaGjowMrKyvo6ekxkE68UlNTkZaWhn79+kFGRkbYu4YLBg4cCFVVVQwePBgODg5ISEiAjo4OwsLCYGdnh8ePHzMdsVq+LjtYUlKCe/fu4dKlS1i0aBFcXV0ZSkZI7UA9MwghhAO0tLTw+PFjqKurQ19fH4GBgejevTvOnTsHJSUlpuORb9i1axfi4+OFtZe/pKioKCzFtHTpUgbSVU98fDw6dOgACQkJxMfHf/exHTt2/EWpSHWEh4cjIiKiwsxadXV1PHv2jKFU4jFr1iwcO3YMenp6mDhxIk6ePInGjRujfv36kJCQYDqe2MyePRuLFy+uMJjx7NkzbNy4Ebdu3WIoWfV8/PgRJiYmiIyMxODBg9GvXz8IBAIkJSXBxcUFwcHBuHLlCqSlpZmO+lPqykDN+vXr0axZM9jb24ts9/HxwevXr+Hi4sJQMvH51o3iefPm4fHjx6y/UZySkoJOnToB+Nx/r1+/fjh69Kiw9AvbBzPKa9d/jcfjQUpKihMrT/bu3Yv9+/djwoQJwm0WFhbo2LEjHB0dWf87qqioiDNnzkBJSUnYj+jevXvIy8uDqakpjh8/jo0bN+LatWvo06cP03F/Sk5ODsaOHYvQ0FDweDw8evQIWlpamDJlCpSUlLB161amI1abh4cHrK2tcebMGSxdulRYqi8oKAi9e/dmOF31OTs7V7p99+7duHPnzi9OQ0gtJCCE1DlKSkoCZWXlKn0Qdti2bZtg+/btAoFAIAgJCRHIyMgIGjRoIJCQkBB4eHgwnI58i6GhoeCff/755v5//vlH0KlTp1+YSHx4PJ7g5cuXws8lJCQEPB6vwoeEhATDSUlVKSsrCx4+fCgQCAQCOTk5QVpamkAgEAhu3LghUFFRYTJatUlKSgr+/PNPwbt370S216tXT3jMXNCwYUPh8/al9PR0gZycHAOJxGPZsmUCNTU1QVxcXIV9sbGxAjU1NcGKFSt+fTAxKCwsFPTp00cgISEhMDU1FTg7OwucnJwEpqamAgkJCUHfvn0FHz9+ZDqmWKirqwsiIiIqbI+KihJoaGgwkEj8GjduLDh69GiF7UePHhU0btyYgUTiJS8vL0hJSREIBALB4MGDheegmZmZAmlpaSajiUX5ecu3PtTU1ATLly8XlJWVMR31pykpKQmfwy8lJycLFBUVf30gMXNxcRHMnDlT5DkqKysTzJkzR7BkyRIBn88XTJs2TdCnTx8GU1aPjY2N4Pfffxc8efJE5Hzt8uXLAn19fYbT1ayPHz8KiouLmY5RY9LS0gTy8vJMxyCEcbQyg5A66MtZUTk5OVi7di1+//13kRlily9fxrJlyxhKSH7UvHnzhJ8bGxsjKSkJd+7cgba2NgwNDRlMRr4nLS0Nurq639yvq6uLtLS0X5hIfDIyMtC0aVPh54T9TExM4OHhgX379gH4PBP1w4cPWLFiBYYOHcpwuuo5ePAgfH190aJFC5ibm8PGxgZmZmZMxxI7KSkpvHz5ElpaWiLbX7x4gXr12HtZcOzYMWzbtq3SVV6GhobYsmULli5dipUrV/76cNW0fv16PHnyBPfu3atwfHFxcbCwsMCGDRtYeWxfy87ORosWLSpsb9q0KV68eMFAIvErKyurtJxb165dUVpaykAi8TIyMsLatWsxePBghIWFYe/evQA+nwc0a9aM4XTV5+fnh6VLl2LSpEno3r07BAIBbt++DX9/f/z11194/fo1tmzZAikpKfz5559Mx/0pEydOxN69e7Ft2zaR7fv27YO1tTVDqcTnwIEDiIiIEFl1KSEhAUdHR/Tu3Rtubm6YM2cO+vbty2DK6rly5QouX76M1q1bi2zX1dVFZmYmQ6l+DbauwKyqoKAg6jdICKjMFCF1kp2dnfDz0aNHY/Xq1ZgzZ45wm5OTE3bt2oV//vlH5CY5qb0OHjyIcePGQUpKCsDnhuBqamooLi7GwYMHYWtry3BCUhlJSUk8f/4campqle5//vw5a0vcfNlkmBoOc4O7uzuMjY2hr6+PoqIiWFlZ4dGjR2jSpAkCAgKYjlctVlZWsLKywuPHj+Hr64vZs2ejsLAQfD4fCQkJ0NfXZzqiWJiYmGDJkiU4e/YsFBUVAQB5eXn4888/YWJiwnC6n5eVlYXu3bt/c3/Pnj2RlZX1CxOJD5cHar6mqqqKiIgIaGpqimyPiIhAy5YtGUolXly/Ucz10i/+/v7YunUrxo4dK9xmYWEBAwMDeHl54dq1a1BTU8O6detYO5gBfL7hf+XKFfTs2RMAEBUVhSdPnsDW1hbz588XPu7r32M2KC0tRVJSEtq0aSOyPSkpCWVlZQA+3xBnc2+JgoICyMrKVtj+5s0b4bUi25WVlcHd3R2BgYHIyspCcXGxyP7c3FyGkolH586dRX4HBQIBsrOz8fr1a+zZs4fBZITUDtQAnJA6Tk5ODrGxscKLjXKPHj1C586dqXE0S0hKSuLFixdQUVER2Z6TkwMVFRXhyTmpXYyNjdGjRw9s2LCh0v0uLi6Ijo5GaGjoL04mfikpKbh+/TpevXoFPp8vsm/58uUMpSI/6uPHjwgICEBMTAz4fD66dOkCa2tryMjIMB1NrAQCAS5fvgwfHx8EBwejSZMmGDVqFHbs2MF0tGp59uwZ+vXrh5ycHHTu3BkAEBsbi2bNmuHq1atQVVVlOOHPUVFRwd9//42uXbtWur+8+fCrV69+cbLqk5aWxqNHj7753Dx58gS6urooKir6xcnEb+PGjdi8eTM2b96MgQMHAgCuXbuGxYsXY8GCBViyZAnDCavP0dERBw8ehKqqaqU3ir/sf8LGG8XfUlRUBElJSdb3d5GVlUVcXFyFVbWPHj2CoaEhCgsLkZGRgfbt26OwsJChlNVjbGxcpcfxeDyEhITUcBrxc3JyQkBAAP78809069YNPB4P0dHRcHNzg5WVFbZv3w5vb2/4+fkhPDyc6bg/xdzcHF26dMGaNWsgLy+P+Ph4qKurY/z48eDz+QgKCmI6YrUtX74c3t7emD9/PpYtW4alS5fi8ePHOHPmDJYvXw4nJyemI1bLqlWrRL6WkJBA06ZNMWDAALRt25ahVITUHjSYQUgdp66ujjlz5mDRokUi2zdv3oxdu3ZxfikqV0hISODly5fCsj7l4uLiYGxszPrZKVx18uRJjB8/Hu7u7pg5cyYkJSUBfJ5ttGfPHixYsABHjx7FmDFjGE5aPfv378fMmTPRpEkTNG/eXGSmEY/HQ0xMDIPpSFUVFhZWOtOP63Jzc4VlqOLi4piOU20FBQU4cuQI4uLiICMjg44dO2LChAmsvsk4btw4lJaW4uTJk5XuHz16NCQlJREYGPiLk1UflwdqviYQCODq6oodO3YIZ9lKS0vDxcWFM4PeXL9R/OTJE/B4PGF5m+joaBw9ehT6+vqYNm0aw+mqr02bNhg1alSFSSiurq44ffo0kpOTcefOHYwYMQLPnj1jKCX5nrKyMmzYsAG7du3Cy5cvAQDNmjWDo6MjXFxcICkpiaysLEhISFQo08QWCQkJGDBgALp27YqQkBBYWFjg4cOHyM3NRUREBLS1tZmOWG3a2trYsWMHzM3NIS8vj9jYWOG2qKgoHD16lOmIhJAaRIMZhNRxfn5+cHBwgJmZmbBnRlRUFC5dugRvb29MmjSJ2YDku8qXoMbFxaF9+/YiNc/LysqQkZEBMzMzVt7AqSuWLl2K9evXQ15eHlpaWuDxeEhLS8OHDx+waNGib67aYBN1dXXMmjULLi4uTEch1SAnJwdLS0vY2NjAxMSEtSXQqmrDhg2YMWMGlJSUmI5C/kNCQgJ69OiB9u3bY/78+cJZiwkJCXB3d0dCQgKioqLQvn17hpP+OC4P1HzLhw8fkJiYCBkZGejq6nKmLEpd0LdvX0ybNg02NjbIzs6Gnp4e2rdvj5SUFDg5ObF+UCo4OBh//PEH2rZtK5zVf/v2bSQmJuLkyZMYNmwY9u7di0ePHnFiZc3Xg1Nc8+7dOwCAgoICw0nELzs7G3v37sXdu3eFK2lnz55daV8iNmrYsCESExOhpqaGFi1a4MKFC+jSpQvS09PRuXNn5OfnMx1RbD5+/IiSkhKRbVz8nSXkR9BgBiEEt27dwo4dO5CYmAiBQAB9fX04OTmhR48eTEcj/6F8CeqqVauwYMECyMnJCfc1aNAAGhoaGD16NBo0aMBURFIF0dHROHLkCFJTUyEQCNCmTRtYWVl9twY8mygoKCA2NrZC02HCLqdOnUJAQAAuXLgABQUFjBs3DhMnTkS3bt2YjlYjuPJ7GxwcjCFDhqB+/foIDg7+7mMtLCx+USrxi4qKgoODAxITE4WrvwQCAdq2bQtvb2/W1uvn8kBNXZaamoq0tDT069cPMjIyEAgErK7RX05ZWRlRUVHQ09PDjh07cPz4cURERODKlSuYMWMG0tPTmY5YbZmZmdi7dy9SUlKErzHTp09HXl4eOnXqxHS8aistLcWqVauwY8cOYblhOTk5ODo6YsWKFaxexUe4Q09PDwcPHkSPHj3Qt29fmJubw9XVFcePH4ejoyPrVysWFBTAxcUFgYGByMnJqbCfSkiTuo4GMwghhAP8/f0xbtw4SEtLMx2FkAocHBzQrVs3zJgxg+koRAzev3+PoKAgBAQEIDQ0FJqampg4cSLrZ9x+TV5eHnFxcawfzJCQkEB2djZUVFS+u5qGx+Nx4uI4NjYWKSkpAD6XhOHCzUWuDtQAwKhRo+Dn5wcFBQWMGjXqu489derUL0pVc3JycjB27FiEhoaCx+Ph0aNH0NLSgoODA5SUlLB161amI1aLnJwcHjx4AA0NDVhYWKBPnz5wcXFBVlYW9PT08PHjR6YjilVeXh6OHDkCHx8fxMbGcuI1dMaMGTh9+jRWr14tXLUfGRmJlStXYsSIEfD09GQ4YfW8fPkSCxcuxLVr1/Dq1St8fTuMC88hALx9+xYHDhwQvm+0a9cOkydPRqNGjZiOJhaurq5QUFDAn3/+iaCgIEyYMAEaGhrIysrCvHnzWL+yffbs2QgNDcXq1atha2uL3bt349mzZ/Dy8sKGDRtgbW3NdERCGEWDGYTUQe/evRMuTSxfXvsttISRkF/jxo0b8PLyQnp6Ok6cOIFWrVrh0KFD0NTUxG+//cZ0vB/2ZaPkgoICbNu2Debm5jAwMKgwq4/tTfrqsoSEBFhbWyM+Pp4zNwDKcWUwo64oKSmBnp4ezp8/D319fabj1Ih79+7h0aNHALgzUDN58mTs2LED8vLymDx58ncf6+vr+4tS1RxbW1u8evUK3t7eaNeunfA15sqVK5g3bx4ePnzIdMRq6dGjB4yNjWFubg5TU1NERUXB0NAQUVFRGDNmDJ4+fcp0RLEICQmBj48PTp06BXV1dYwePRqjR49G586dmY5WbYqKijh27BiGDBkisv3vv//G+PHjWV++Z8iQIcjKysKcOXPQokWLCiuiRowYwVAy8QkLC8OIESOgoKAAIyMjAMDdu3eRl5eH4OBg9O/fn+GE4nfr1i1ERERAR0eH1atMy6mpqeHgwYMYMGAAFBQUEBMTAx0dHRw6dAgBAQG4ePEi0xEJYVS9/34IIYRrlJWV8eLFC6ioqEBJSanSZe3ly925dnOKSxo1aoSUlBQ0adIEysrK3y1PQA3Aa7eTJ0/CxsYG1tbWiImJwadPnwB8ngHv5ubGyhNWd3d3ka/l5OQQFhaGsLAwke08Ho8GM1imqKgIwcHBOHr0KC5dugQVFRUsXLiQ6Vhil5CQgJYtWzIdg1RR/fr18enTJ06U6vmWzp07o3379sjIyOBEA1dAdICCC4MV/+XKlSu4fPlyhR4Eurq6yMzMZCiV+GzcuBEjR47E5s2bYWdnB0NDQwCfy92xvXTm06dP4efnBx8fHxQUFGDs2LEoKSnByZMnOTWAKi0tDQ0NjQrbNTQ0OFG2Njw8HDdu3ODEYPC3zJ49G2PHjsXevXshKSkJ4POKk1mzZmH27Nl48OABwwmrLycnB40bNwbwubfLhQsX8PHjR+HgDdvl5uZCU1MTwOfJpeXX8r/99htmzpzJZDRCagUazCCkDgoJCREuMQ0NDWU4DflZ7u7ukJeXBwB4eHgwG4ZUy9q1a+Hp6QlbW1scO3ZMuL13795YvXo1g8l+XkZGBtMRiJhduXIFR44cwZkzZyApKYkxY8bg8uXLnJrhp6GhAXt7e0yaNAlqampMxxGLL1dJ/Re2Dyw6Ojpi48aN8Pb2Rr163LrMKSwshKOjI/z9/QEAKSkp0NLSgpOTE1q2bAlXV1eGE5KqKCgogKysbIXtb9684USj8wEDBuDNmzd49+4dlJWVhdunTZtW6XGzxdChQxEeHo5hw4Zh586dMDMzg6SkJOtLLlVm9uzZWLNmDXx9fYW/k58+fcK6deswZ84chtNVn6qqaoXSUlyTlpaGkydPCgcyAEBSUhLz58/HwYMHGUxWfffv38fw4cPx5MkT6Orq4tixYzAzM0NBQQEkJCTg7u6OoKAgWFpaMh21WrS0tPD48WOoq6tDX18fgYGB6N69O86dOwclJSWm4xHCOCozRQghLFdaWoojR47g999/R/PmzZmOQ36CrKwsEhISoKGhIVLaJj09Hfr6+igqKmI6olgUFxcLZxRz7UZjXSArKwtzc3NYW1vD3Nyck01Ad+7cCT8/P8TFxcHY2BgODg4YOXIkq28yls/s+y88Ho/1zXlHjhyJa9euQU5ODgYGBmjYsKHIfjb3XHB2dkZERAQ8PDxgZmaG+Ph4aGlpITg4GCtWrMC9e/eYjvhTOnfuXOXVNDExMTWcpuaZm5ujS5cuWLNmDeTl5REfHw91dXWMHz8efD4fQUFBTEesttLSUly/fh1paWmwsrKCvLw8nj9/DgUFBcjJyTEd76fUq1cPTk5OmDlzJnR1dYXb69evj7i4OE6tzCh/HZWSkhKurImLi0NxcTEGDRok8lg2vqZeuXIFW7duhZeXV6UrULigT58+WLRoUYUb+mfOnMHGjRsRGRnJTDAxGDJkCOrVqwcXFxccPnwY58+fh6mpKby9vQF8ntRw9+5dREVFMZy0etzd3SEpKQknJyeEhobC3NwcZWVlKC0txbZt2+Ds7Mx0REIYRXcSCKnjfH19IScnhz/++ENk+4kTJ1BYWAg7OzuGkpGqqlevHmbOnInExESmo5Cf1KJFC6Smpla4qAoPD+dEvX6aUcwN2dnZnO+j5OjoCEdHR8TFxcHHxwdOTk6YNWsWrKysYG9vjy5dujAd8YfVpVVSSkpKGD16NNMxasSZM2dw/Phx9OzZU+Tmv76+PtLS0hhMVj1snz37ozZv3owBAwbgzp07KC4uxuLFi/Hw4UPk5uYiIiKC6XjVlpmZCTMzM2RlZeHTp08wMTGBvLw8Nm3ahKKiItauZLhx4wZ8fHxgZGSEtm3bwsbGBuPGjWM6Vo2o7HVUVVWVoTTiN27cOBQWFkJbWxuysrIVJmawtTRvfHy88HMnJyc4OzsjNTUVPXv2BABERUVh9+7drG+Mffv2bYSEhKBjx47o1KkT9u3bh1mzZkFCQgLA5/O48mNms3nz5gk/NzY2RlJSEu7cuQNtbW3hICMhdRmtzCCkjtPT04OnpyeMjY1FtoeFhWHatGlITk5mKBn5EcbGxnB2dq5zNwW4YtOmTfD394ePjw9MTExw8eJFZGZmYt68eVi+fDnrl/VzdUZxXfDu3TvhAMa7d++++1guDnSUlJRgz549cHFxQUlJCTp06ABnZ2dMnjyZ9b0Zyi8B2H4cdYWsrCwePHgALS0tkRV8cXFx6NevH+ub8tYl2dnZ2Lt3L+7evQs+n48uXbpg9uzZaNGiBdPRqs3S0hLy8vI4cOAAGjduLPw9DQsLw5QpU4QN7NmqsLAQx44dg4+PD6Kjo1FWVoZt27bB3t5eWPqV1G7lE2u+ha0T+SQkJMDj8f6zhBbbe2JKSEggOzsbKioqACDyfggAL1++RMuWLVl9jCUlJTA1NYWXlxfatGnDdBxCaiVamUFIHZeZmVlpCQp1dXVkZWUxkIj8jFmzZmHBggV4+vQpunbtWqG0RseOHRlKRqpi8eLFyM/Ph7GxMYqKitCvXz9ISUlh4cKFrB/IALg7o7guUFZWxosXL6CiogIlJaVKb3wLBALWXxx/raSkBKdPn4avry+uXr2Knj17wsHBAc+fP8fSpUvxzz//4OjRo0zH/CkHDx7E5s2bhTcV27Rpg0WLFsHGxobhZOLBxRI3ANCtWzdcuHABjo6OAP4/CLV//3706tWLyWhid/fuXSQmJoLH40FfXx+dO3dmOpJYNW/eHKtWrRLZVlRUhC1btmDhwoUMpRKP8PBwREREVGgUra6ujmfPnjGUSnxkZWVhb28Pe3t7JCcn48CBA9iwYQNcXV1hYmKC4OBgpiOS/8DWwYr/UpdWYX59Lsq1SRn169fHgwcPOHdchIgTDWYQUsepqKggPj6+QnmbuLg4NG7cmJlQ5IeVL3X/snlr+ewcrt1k5Kp169Zh6dKlSEhIAJ/Ph76+PqtvvH3p9evXwhlUXyooKKAT9VouJCQEjRo1AgCEhoYynKbmxcTEwNfXFwEBAZCUlISNjQ3c3d3Rtm1b4WNMTU3Rr18/BlP+vG3btmHZsmWYM2cO+vTpA4FAgIiICMyYMQNv3rwRKWvARlwtcQMA69evh5mZGRISElBaWort27fj4cOHiIyMRFhYGNPxxOLVq1cYP348rl+/DiUlJQgEAuFA/7Fjx9C0aVOmI1bLmzdvcOvWLdSvXx+DBg2CpKSkcPXX+vXrUVpayvrBDD6fX+k559OnTzm3ckFPTw+bNm3C+vXrce7cOfj4+DAdSSw0NTW/e27G9t5KX/r48SNKSkpEtrF1lam6ujrTEX6ZSZMmCXuZFRUVYcaMGcKJfJ8+fWIymtjY2toKB0sJIRXRYAYhddz48ePh5OQEeXl54c2ZsLAwODs7Y/z48QynI1VVl2bjcJmsrCyMjIyYjiF2dWlGMdf0798fwP9nu9vb23OqdvbXunXrBhMTE+zduxeWlpaVNjnX19dn7fvjzp07sXfvXtja2gq3jRgxAu3bt8fKlStZP5jh7OwMIyOjChMyRo4ciSlTpjCYrPp69+6NiIgIbNmyBdra2rhy5Qq6dOmCyMhIGBgYMB1PLBwdHfHu3Ts8fPgQ7dq1AwAkJCTAzs4OTk5OCAgIYDjhz7t58ybMzc2Rn58PHo8HIyMj+Pr6wtLSEnw+H3/99Rfs7e2ZjlltJiYm8PDwwL59+wB8fr//8OEDVqxYgaFDhzKcrmZISkrC0tKSM6Ve586dK/J1SUkJ7t27h0uXLmHRokXMhBKjgoICuLi4IDAwEDk5ORX2c2UC2LNnzxAREYFXr16Bz+eL7Pty8hvbfL2yZuLEiRUe8+U5DlsVFxfD29sbV69ehZGRUYWqC9u2bWMoGSG1A/XMIKSOKy4uho2NDU6cOIF69T6Pb/L5fNja2sLT07PCMnFCiHiMGjWqyo89depUDSapObGxsejUqRMiIyPx+++/w9raGn5+fpg+fbrIjOKuXbsyHZVUgby8PO7fv19hJR+XZGZmcnp2o7S0NB48eAAdHR2R7Y8ePYKBgQGKiooYSiYeTZo0QUREBPT09ETqaD9+/Bj6+vooLCxkOiL5DkVFRfzzzz/o1q2byPbo6GiYmpoiLy+PmWBiMGjQIDRt2hR//fUXfHx84OHhAQ0NDaxcuRI2NjacWaX4/PlzGBsbQ1JSEo8ePYKRkREePXqEJk2a4N9//610lSZhh927d+POnTvw9fVlOkq1zJ49G6GhoVi9ejVsbW2xe/duPHv2DF5eXtiwYQOsra2Zjlhtvr6+mDFjBho0aIDGjRuLvL7weDxOra7hmvT0dGhoaGDQoEHffAyPx0NISMgvTEVI7UODGYQQAJ9vZMTGxkJGRgYGBgacvpnDZQkJCcjKykJxcbHIdgsLC4YSkW+ZPHlylR/L1gtHCQkJdO7cGVOmTIGBgQH2798v0vDUxcWFMzOK64LymaeTJk1iOkqNuX37Nvh8Pnr06CGy/datW5CUlGT9yqkOHTrAysoKf/75p8j2tWvX4vjx47h//z5DycSjUaNGCA8Ph76+vshgRnh4OEaPHo2XL18yHfGnvXv3rtLtPB4PUlJSnJh8Ii8vjxs3bqBTp04i2+/du4f+/ft/8/8BGzRp0gRhYWFo3749CgsLIS8vj2PHjuGPP/5gOprYffz4EQEBAYiJiRG+31tbW0NGRobpaKQa0tPT0alTJ1b/HQKAmpoaDh48iAEDBkBBQQExMTHQ0dHBoUOHEBAQgIsXLzIdsdpUVVUxY8YMLFmyBBISEkzHIT9AUlJS2KsO+FxKeseOHWjWrBnDyQipXWgwgxBCOCA9PR0jR47E/fv3hb0ygP+X8+HKkmnCLpGRkfDx8UFgYCBKSkowatQo2NvbY+DAgUxHIz/By8sLK1euhLW1Nbp27VphyTsXBk27d++OxYsXY8yYMSLbT506hY0bN+LWrVsMJROPkydPYty4cRg8eDD69OkDHo+H8PBwXLt2DYGBgRg5ciTTEatl3LhxUFRUxL59+yAvL4/4+Hg0bdoUI0aMgJqaGmsHhoHPg8Pfm73funVrTJo0CStWrGDtzasRI0YgLy8PAQEBaNmyJYDPpVKsra2hrKyM06dPM5zw50lISCA7O1t4g0peXh737t2rsEqKkNpq06ZN2LNnDx4/fsx0lGqRk5PDw4cPoa6ujtatW+PUqVPo3r07MjIyYGBggA8fPjAdsdoaN26M6OhoaGtrMx2F/KCv3ysUFBQQGxsLLS0thpMRUrtQzwxC6rgxY8bAyMgIrq6uIts3b96M6OhonDhxgqFk5Ec4OztDU1MT//zzD7S0tBAdHY2cnBwsWLAAW7ZsYToe+Q8ZGRkoLS2Frq6uyPZHjx6hfv36rC3r06tXL/Tq1Qs7duxAYGAgfH19YWJiAg0NDdjb28POzg6tW7dmOiapopkzZwKovE4vj8fjxKBpQkICunTpUmF7586dkZCQwEAi8Ro9ejSio6Oxbds2nDlzBgKBAPr6+oiOjkbnzp2Zjldt7u7uMDY2hr6+PoqKimBlZSUsccPmfgsA4Ofnh6VLl2LSpEno3r07BAIBbt++DX9/f/z11194/fo1tmzZAikpqQorb9hi165dGDFiBDQ0NKCqqgoej4esrCwYGBjg8OHDTMerFh6Ph/fv30NaWhoCgQA8Hg+FhYUVZrmztfnwl1JSUnD9+vVKa/UvX76coVSkqjp37iwycCoQCJCdnY3Xr19jz549DCYTj/LSg+rq6tDX10dgYCC6d++Oc+fOQUlJiel4YuHg4IATJ05UuL4n7ENzzwmpHK3MIKSOa9q0KUJCQiqUerl//z4GDx7M6pIMdUmTJk0QEhKCjh07QlFREdHR0dDT00NISAgWLFiAe/fuMR2RfEf//v2FN/e/dPjwYXh7e+P69evMBKsBaWlp8PX1xcGDB/HixQuYmJhwYkk/4YbGjRvj/PnzFRrTlzfvffv2LUPJqu/9+/eIiopCSUkJunfvjiZNmjAdqUZwtcTNoEGDMH36dIwdO1Zke2BgILy8vHDt2jUcOnQI69atQ1JSEkMpxeOff/5BYmKicLBt8ODBTEeqtq9X1pQPaHz9NdsHhffv34+ZM2eiSZMmaN68eYVa/TExMQymI1WxatUqka8lJCTQtGlTDBgwAG3btmUolfi4u7tDUlISTk5OCA0Nhbm5OcrKylBaWopt27bB2dmZ6YjVVlZWhmHDhuHjx48wMDBA/fr1RfZT8+jaS1JSEtnZ2WjatCkACFeZampqMpyMkNqFBjMIqeNkZGQQGxsLPT09ke1JSUno3LkzPn78yFAy8iOUlZVx9+5daGlpQVtbG97e3jA2NkZaWhoMDAyo6Wkt92XN3i+lpqbCyMiI1U1PK/PhwwccOXIEf/75J/Ly8lh/86Yu4PP58PPzw6lTp/D48WPweDxoaWlh9OjRnGpeO378eGRnZ+Ps2bNQVFQEAOTl5cHS0hIqKioIDAxkOOHPiY+Px5AhQ5CdnQ2BQAAFBQUEBQVx4iZxXSErK4u4uLhKV/AZGhqisLAQGRkZwp4MbHPixAmcOXMGJSUlGDx4MKZNm8Z0JLEKCwur0uP69+9fw0lqlrq6OmbNmgUXFxemoxBSJVlZWbhz5w60tbVhaGjIdByxWLNmDVasWAE9PT00a9aswqAiNY+uvSQkJDBkyBBISUkBAM6dO4eBAwdWKO166tQpJuIRUmtQmSlC6rgOHTrg+PHjFZZ9Hzt2DPr6+gylIj+qQ4cOiI+Ph5aWFnr06IFNmzahQYMG2LdvH9XYZIHy8hNfy8/P59SN/rCwMPj4+ODkyZOQlJTE2LFj4eDgwHQs8h8EAgEsLCxw8eJFGBoawsDAAAKBAImJiZg0aRJOnTqFM2fOMB1TLLZu3Yp+/fpBXV1dWHYpNjYWzZo1w6FDhxhO9/NcXV2hpqaGEydOQFpaGqtWrcKcOXNYP4O/MsnJydi5cycSExPB4/HQtm1bzJkzh/Uzilu3bo0DBw5gw4YNItsPHDgAVVVVAEBOTg6UlZWZiFct+/btw4wZM6CrqwtpaWmcPHkSGRkZWL9+PdPRxIbtgxRV9fbtW042Na8L+Hw++Hw+6tX7/y2ily9fwtPTEwUFBbCwsMBvv/3GYMKaoaamBjU1NaZjiNW2bdvg4+ODSZMmMR2F/KCvV+lPnDiRoSSE1G60MoOQOi44OBijR4+GlZWVsCnvtWvXcPToUQQFBcHS0pLZgKRKLl++jIKCAowaNQrp6ekYNmwYkpKS0LhxYxw7dgyDBg1iOiL5jmHDhkFWVhYBAQGQlJQE8HmJ+Lhx41BQUIC///6b4YQ/78mTJ/Dz84Ofnx8yMjLQu3dvODg4YOzYsRVmGZHaydfXF87Ozjh79iyMjY1F9oWEhMDS0hK7du2Cra0tQwnFq6CgAEeOHEFcXBxkZGTQsWNHTJgwoUKZBjZRUVHBxYsXYWRkBODzTW8VFRXk5+dDTk6O4XTiExQUhAkTJsDIyEhYKiwqKgq3b9/G0aNHWX2TNTg4GH/88Qfatm2Lbt26gcfj4fbt20hMTMTJkycxbNgw7N27F48ePWJdCREDAwNYWlpizZo1AD73B3F0dKx0kJ8LysstpqWlYfv27VBRUcGlS5egqqqK9u3bMx2vWhwcHNCtWzfMmDGD6SjkB02ePBn169fHvn37AHwuTdi+fXsUFRWhRYsWSEhIwNmzZzF06FCGk1bftWvXcO3atUr7uvj4+DCUSnyaN2+OGzduVFjJRwghXEGDGYQQXLhwAW5uboiNjYWMjAwMDQ2xYsUKKCgooFOnTkzHIz8pNzcXysrKnCn/wmUJCQno168flJSU0LdvXwDAjRs38O7dO4SEhKBDhw4MJ/w5JiYmCA0NRdOmTWFrawt7e/sKJe1I7WdqaoqBAwd+s5Gkm5sbwsLCcPny5V+cjFSVhIQEsrOzoaKiItzGxTrMWlpamDhxIlavXi2yfcWKFTh06BDS/9fenUc1ea1rAH8ScIgKiiLiBIiAFEXFUutUAY8zXsShYB0QkduDVlFbFWsH6vEcxxYH6nQqIWCdULBVb4tYwQGViyhCFRRHpBXUg0UUUCHk/uFqrimoKIFNwvNby7XC/r4/HlZLCN+79/tevy4omXZkZ2dj06ZNyMrKgkqlgr29Pf7+97+joKBApz+vNW3aFL/++qv6JKlSqYRMJsOtW7dgbm4uOJ12HTt2DCNGjED//v1x/PhxZGZmwtraGqtWrUJycjL27t0rOmK1LF++HCEhIXB3d6+0V39gYKCgZPQqdnZ2+PbbbzF06FAAwIYNG/Cvf/0LmZmZaN68OYKCgpCcnIyEhATBSatnyZIl+Mc//gFnZ2e0bdu2wt9J+/btE5RMe5YvX47c3FysX79edBQiohrBYgYRaSgoKMD27dsRFhaGtLQ0vWpxo4/8/PyqdJ8+7DLSd7dv38a3336rsRt81qxZaNmypehob8zDwwPTp0/HqFGj1CdOSPeYm5sjNjb2hQ9LU1NT1fMYdNH+/fsxYsQINGjQAPv373/pvR4eHrWUSrsMDAyQlZWlHiipUqnQsWNHJCYmwsrKSn2fsbGxoITa0aRJE6Snp1eYP/T8XAl98efnNblcjvPnz+v057UXFdvS0tL0rlVm37598f777+Pjjz/W+B7PnDkDT09P/P7776IjVsvLiqMSiUTnC4r6rGnTprhw4YL6v+HYsWPRvn17hIaGAni28cbV1RV3794VGbPa2rZti1WrVmHKlCmio9SYMWPGID4+Hq1atULXrl0rFBU5b4GIdB1nZhARgGetQuRyOWJiYmBpaYlx48YhLCxMdCx6BYVCoe7tztq0bmvXrh2WLVsmOoZWverBMOmG+/fvo02bNi+83qZNG/zxxx+1mEi7PD091Q9SX9ZaUSKR6OwDY5VKBTs7uwprf84FUalUOv39/cnV1RUnTpyoUMxITExUn3rTdZV9Xtu6davoWNW2detWjZZnZWVlUCgUMDU1Va/pw67+X3/9FTt27Kiw3rp1a+Tn5wtIpF03btwQHYHeUOPGjVFSUqL+OikpCatXr9a4/ujRIxHRtOrp06fo16+f6Bg1qkWLFhg7dqzoGERENYbFDKJ67LfffoNCoYBcLkdRURG8vLxQWlqK6OhoDv/WEQEBAdi1axeuX78OPz8/TJ48Wad38tcn6enp6NatG6RSKdLT0196b/fu3WspFVFFSqVSYyDoXxkYGKCsrKwWE2nX8/2y/9o7W1/oeluQl3m+aOrh4YGgoCCcPXsWffr0AfDsgdyePXuwZMkSURGrTd8/r1lYWOC7777TWDM3N8e2bdvUX0skEr0oZrRo0QK5ubkVTjCkpqaiffv2glJpzz/+8Q/Mnz8fTZo00VgvKSnB6tWr8eWXXwpKRq/So0cPbNu2DcuXL8eJEydw584d9TxF4Nmsl3bt2glMqB3+/v7YsWMHvvjiC9FRakx4eLjoCERENYptpojqqZEjRyIxMRGjRo3CpEmTMHz4cBgYGKBBgwZIS0vTiz+O64snT54gJiYGcrkcp06dgru7O6ZPn46hQ4dyXkYd9nxbDalUColEUunpGn3YLU26TSqVYsSIEWjUqFGl1588eYLY2Fj+f0pCSKXSKt2nq++l/LymXxYuXIjTp09jz549sLOzw7lz53Dnzh34+PjAx8cHwcHBoiNWi4GBAXJzczVahgFAfn4+zMzMdPJnsL5ISEjAyJEj0a5dO+Tm5uKDDz7QOKU/c+ZMFBUVISIiQmDKN/Pxxx+rX5eXlyMiIgLdu3dH9+7dK7RgCgkJqe14RET0mljMIKqnDA0NERgYiBkzZsDW1la9zj+OdVt2djYUCgUiIyNRWlqKjIwMjbYNVHdkZ2fDwsICEokE2dnZL73X0tKyllIRVTRt2rQq3aerOwFfZ0CmPuwMJ92i75/XWrZsiaysLJiamsLPzw/r1q2DkZGR6Fg1prS0FL6+vti1axdUKhUMDQ2hVCoxceJEKBQKnZ8vJZVKcefOHfV8nj/Fx8fD29sb9+7dE5SMqiIjIwOHDx+Gubk53n//fY1i8b///W/07t37hfOz6jI3N7cq3SeRSBAfH1/DaWpep06dXrqhjbNriEjXsc0UUT114sQJyOVyODs7w97eHlOmTIG3t7foWFRNEolEvcNfX9ul6IvnCxQsVlBdpqtFiqpas2ZNle7TlzY3bm5usLS0hEKhUK9NnToVOTk5evEQR9/o++e1p0+forCwEKampoiIiMDKlSv1upjRoEEDbN++HUuXLsW5c+dQXl4OJycnjUKVLjIxMVF/BrWzs9N4kKpUKvHo0SMEBAQITEgv06tXLxw5cgQODg7Yu3cv/vu//7vCqbcPP/xQULrq0+dWi5WZO3euxtelpaVITU1FbGwsFixYICYUEZEW8WQGUT1XXFyMXbt2QS6XIzk5GUqlEiEhIfDz89PrPyb1yfNtpv5sRTFt2jQMHz68yu03SLysrCwcPXoUd+/erVCIYo9pItKWadOmoW3btli2bJl6bfHixcjNzdWLwlVycvIL30t1uX2Ivn5eGzJkCO7cuYO3334bERER8Pb2hkwmq/ReuVxey+moqiIiIqBSqeDn54e1a9eiefPm6msNGzaElZUV+vbtKzAhvYxMJsOVK1fQoUMHGBgYIC8vr8LpGl2nVCpx8eJF2NraVniPKS4uxtWrV9Wz7PTVhg0bkJKSohe/64mofmMxg4jULl++jLCwMGzbtg0FBQUYMmSIxmBNqntmzpyJXbt2wcLCAtOmTcPkyZPRqlUr0bHoNX333XeYMWMGTE1NYW5urrGjUSKR4Ny5cwLTEdVPf35E5uwh3bFs2TJ8/vnn6NKlC9q0aVPhvVRfTp7o0+e1O3fuYM2aNbh27RpiYmIwbNiwF87n2bdvXy2n077x48fD2dkZixYt0lhfvXo1kpOTsWfPHkHJtOPYsWPo169fhTkEVLf17dsXzZo1w4ABA7BkyRLMnz//hW1qdXWDjUKhwLfffov//d//rdDOTalU4t1338XcuXMxefJkQQlr3vXr19GzZ08UFhaKjkJEVC0sZhBRBUqlEgcOHIBcLtfZP47rC6lUCgsLCzg5Ob30gVtMTEwtpqLXZWlpiZkzZyIoKEh0FKJ6LzIyEqtXr8aVK1cAAHZ2dliwYAGmTJkiOFnNKCgoQIsWLUTH0Io2bdpg5cqV8PX1FR2lVujb57VOnTohJSVFrzdltG7dGvHx8XB0dNRY//XXXzF48GDcuXNHULI3V1hYCGNjY/Xrl/nzPqpbLl++jODgYFy7dg3nzp2Dg4MDDA0rdiTX5Q027733Hj766CNMmDCh0utRUVH49ttvcfz48VpOVntWrVqFjRs34ubNm6KjEBFVC4sZREQ6zNfXt0q7hnmcuG4zNjbG+fPnYW1tLToKUb0WEhKCL774ArNmzUL//v2hUqlw8uRJbNiwAf/85z8xb9480RGrZeXKlbCyslLPXPDy8kJ0dDTMzc3x008/oUePHoITVk/btm1x/PhxnZ8/QPpLJpPh/Pnz6NKli8b6pUuX4OTkhJKSEkHJ3pyBgQFyc3NhZmYGqVRa6edSlUoFiUQCpVIpICG9DqlUiry8PJiZmYmOolVmZmZITk6GlZVVpddv3LiB3r1768WQ+r9uclOpVMjLy8O9e/ewceNGnZ5/QkQEcAA4EZFOe36AK+mu999/H3FxcRyOSSRYaGgoNm3aBB8fH/Xa6NGj0bVrV3z11Vc6X8zYsmULvv/+ewDA4cOHcfjwYfz888+IiorCggULEBcXJzhh9cybNw8bNmzA2rVrRUeh11RWVoY1a9Zg586dyMrKgkQiga2tLSZOnIg5c+boTduibt26Yffu3RVa9ezatQsODg6CUlVPfHw8CgsLYWZmVu8GLeujv84a0hdFRUUvPTn08OFDFBcX12KimjN69GiNYoZUKkXr1q3h6uoKe3t7gcmIiLSDxQwiIiIB1q9fr35tY2ODL774AklJSXB0dKzw0CYwMLC24xHVS7m5uejXr1+F9X79+iE3N1dAIu3Kzc1Fx44dAQAHDx6El5cXhg4dCisrK7z77ruC01Xf/Pnz4e7ujs6dO8PBwaHCeylbLtZNJSUlGDJkCE6fPo3Bgwdj4MCBUKlUuHTpEoKCgrB//37ExcWhcePGoqNW2xdffIFx48bh2rVrGDRoEADgyJEj2Llzp87Oy3BxcYFUKkX79u3h5uam/veiHfBUt+3Zs6fSouL48eNFR6sWW1tbnDp1Ct27d6/0emJiot6c6vvqq69ERyAiqlEsZhAREQmwZs0aja+bNWuGY8eO4dixYxrrEomExQyiWmJjY4OoqCgsXrxYY3337t168ZDDxMQEOTk56NixI2JjY/HPf/4TwLMWFPrQ/mX27NlISEiAm5sbWrVqxeHtOmL58uXIyclBampqhQeNaWlp8PDwwIoVK/TiAZ2Hhwd++OEHLFu2DHv37oVMJkP37t3xyy+/wMXFRXS8N/bn55ejR49i1qxZePz4MSwsLDBo0CB1caN9+/aiY9JLlJeX44MPPsCePXtgZ2cHe3t7qFQqXLx4Ed7e3nj//fexc+dOnX1fnThxIj7//HP069ev0veZL7/8EgsXLhSUTjte1ObteRKJBGVlZbWUiIioZnBmBhERERERgOjoaHh7e2Pw4MHo378/JBIJEhMTceTIEURFRWHMmDGiI1bLrFmzcPDgQdja2iI1NRU3b95Es2bNsHv3bqxcuVJnB7v+ycjICLt27YK7u7voKPQa7OzssHz5cowbN67S63v27MFnn32GrKysWk5Gb6K0tBSnT5/G0aNHcfToUSQlJeHJkyewsbHB5cuXRcejFwgJCcG//vUvREREYNSoURrX9u/fj2nTpuGLL77A3LlzxQSsptLSUgwdOhSJiYkYPHgw7O3tIZFIkJmZiV9++QX9+/fH4cOHdbql3Y8//vjCa6dOnUJoaChUKpVOzuYhInoeixlERER1xNOnT3Hjxg107twZhoY8PEkkwrlz5xASEoLMzEyoVCo4ODjgk08+gZOTk+ho1VZaWop169YhJycHvr6+6u9p7dq1aNasGfz9/QUnrB5LS0scOnSIPcF1TOPGjXHlyhV1C7S/ysnJga2tLR4/flzLyag6SkpKkJiYiEOHDuG7777Do0eP9OIEmL7q3r075s6dCz8/v0qvh4WFYe3atfj1119rOZn2lJaWYs2aNdixYweuXLkClUoFOzs7TJw4EXPnzkXDhg1FR9S6S5cu4dNPP8WBAwcwadIkLF26FBYWFqJjERFVC4sZREREghUXF2P27NmIiIgAAGRlZcHa2hqBgYFo164dFi1aJDghkf57+PAhkpKSUFpait69e8PU1FR0JK0rKipC06ZNRceoMeHh4YiNjUV4eDiaNGkiOg5VkZmZGX7++We8/fbblV4/c+YM3N3dcffu3VpOph0tW7ZEVlYWTE1NYWJi8tI2MPfv36/FZNr1+PFjnDp1CgkJCTh69CjOnDmDTp06wcXFBQMHDoSLiwtbTdVhMpkMly9ffuGD7uzsbNjb23NXv464ffs2goODERERgWHDhmHZsmVwdHQUHYuISCu47ZOIiEiwTz/9FGlpaTh69CiGDx+uXh88eDCCg4NZzCCqYenp6RgxYgTy8vKgUqlgbGyMvXv3YvDgwaKjaVWbNm3g5eUFPz8/DBgwQHQcrVu/fj2uXbuGNm3awMrKqkK7EF1vo6Wv3NzcsGzZMkRHR1d6fcWKFXB1da3dUFq0Zs0aGBkZAXh2Ckofubi44MyZM+jcuTMGDhyI2bNnw8XFBW3atBEdjapIJpOhoKDghcWMwsJCyGSyWk6lfTk5OZBIJOjQoQMAIDk5GTt27ICDgwM+/PBDwemq78GDB1i2bBlCQ0PRs2dPHDlyBO+9957oWEREWsWTGURERIJZWlpi9+7d6NOnD4yMjJCWlgZra2tcvXoVvXr1QmFhoeiIRHpt5MiR+OOPP/DNN9+gcePGWLJkCS5fvoxLly6JjqZVBw4cgEKhwMGDB2FpaQk/Pz/4+PigXbt2oqNpxZIlS156PTg4uJaS0OvIyMjAu+++i65du+Ljjz9WtwnLyMjAmjVrkJGRgaSkJHTt2lVwUnqRBg0aoG3btvD09ISrqysGDhyol6fb9Jm7uzssLCywadOmSq8HBAQgJycH//M//1PLybTrvffew4cffogpU6YgLy8PdnZ26NatG7KyshAYGIgvv/xSdMQ3tmrVKqxcuRLm5uZYtmwZRo8eLToSEVGNYDGDiIhIsCZNmuDChQuwtrbWKGakpaVh4MCBePDggeiIRHrNzMwMP/30E5ydnQEA+fn5MDMzw4MHD9CsWTPB6bQvPz8fkZGRUCgUyMjIwLBhw+Dn5wcPDw/O6yEhkpKSMH36dGRmZqrbMKlUKtjb22Pr1q3o16+f4IRv7nU2JBgbG9dgkppTVFSEEydO4OjRo0hISMD58+dhZ2cHFxcXuLq6wsXFBa1btxYdk17i1KlTcHV1haenJ+bPnw97e3uoVCpkZmbim2++wY8//oiEhAT0799fdNRqMTExQVJSErp06YL169dj9+7dOHnyJOLi4hAQEIDr16+LjvjGpFIpZDIZBg8eDAMDgxfeFxMTU4upiIi0j8UMIiIiwVxcXDB+/HjMnj0bRkZGSE9PR6dOnTBr1ixcvXoVsbGxoiMS6TWpVIq8vDyYmZmp157/WdRnoaGhWLBgAZ4+fQpTU1MEBARg0aJFnDlBQqSmpuLKlSsAADs7O/Ts2VNsIC2QSqUvnZMBPCvcSCQSvRmQ/fDhQyQmJqrnZ6SlpcHW1hYXLlwQHY1eYt++ffjwww8rzG4xMTHBli1bMG7cOEHJtKdZs2a4cOECrKys4OHhgf79+yMoKAi3bt1Cly5ddHomiK+v7yvfa4Bn86WIiHQZt14REREJcv78efTs2RMrVqzAsGHDkJGRgbKyMqxbtw4XL17E6dOncezYMdExifSeRCLBw4cP0bhxYwD//2Dx4cOHGruqdXXX9F/l5eUhMjIS4eHhuHXrFsaPH4/p06fj9u3bWLFiBZKSkhAXFyc65mt71UNjfXlQrM+cnJzQtWtX3LhxA507dxYdRysSEhJER6h1TZs2RcuWLdGyZUuYmJjA0NAQmZmZomPRK4wZMwbDhg1DXFwcsrKyADwrKg4dOlRvCtxdu3bF5s2b4e7ujsOHD2Pp0qUAng3MbtWqleB01aNQKERHICKqFTyZQUREJIhUKoWTkxP8/f3h6OiI7777DmfPnkV5eTl69eqFoKAgODo6io5JpPcqewj+Z0Hj+de6/jA8JiYG4eHhOHToEBwcHODv74/JkyejRYsW6nsuXrwIJycnPH36VFzQN/Tjjz9qfF1aWorU1FRERERgyZIlmD59uqBkVBXFxcWYPXs2IiIiAABZWVmwtrZGYGAg2rVrh0WLFglOSC9SXl6OlJQUdZupkydPoqioCO3bt4ebm5v6n6Wlpeio9BKlpaUYOnQotmzZAjs7O9FxasTRo0cxZswYFBYWYurUqZDL5QCAxYsX49KlS2zBRESkA1jMICIiEuT06dOQy+WIiopCaWkpxo4dCz8/PwwaNEh0NKJ6paonoFxcXGo4Sc1q3rw5JkyYAH9/f7zzzjuV3lNSUoJVq1bp1bDsHTt2YPfu3RWKHVS3zJkzBydPnsTatWsxfPhwpKenw9raGvv370dwcDBSU1NFR9SKgoIChIWFqeeDODg4wM/PD82bNxcd7Y0ZGxujqKgIbdu2haurK1xdXeHm5qY3p2vqk9atW+PUqVOwtbUVHaXGKJVKFBYWwsTERL128+ZNNGnSRKPdJBER1U0sZhAREQlWUlKCqKgohIeH48SJE7CysoKfnx+mTp2KDh06iI5HRHqiuLhYb1qFvI5r166he/fuKCoqEh2FXsLS0hK7d+9Gnz59YGRkhLS0NFhbW+Pq1avo1avXaw3SrqtSUlIwbNgwyGQy9O7dGyqVCikpKSgpKUFcXBx69eolOuIb2bJlC9zc3PR2N3998sknn6BBgwZYsWKF6Cg1oqSkBCqVSv27MDs7G/v27cNbb72FYcOGCU5HRERVwWIGERFRHXLt2jWEh4cjMjISubm5GDJkCH766SfRsYhIz5SUlKC0tFRjTV9mgjyvpKQEn376KX7++WdcvnxZdBx6iSZNmuDChQuwtrbWKGakpaVh4MCBePDggeiI1fbee+/BxsYG3333HQwNn42vLCsrg7+/P65fv47jx48LTkj13ezZsxEZGQkbGxs4OzujadOmGtdDQkIEJdOOoUOHYuzYsQgICEBBQQHs7e3RoEED/Oc//0FISAhmzJghOiIREb0CixlERER1zKNHj7B9+3YsXrwYBQUFOt+nn0iX/NnX/flBmlOnTkVOTg7i4+PFBdOCoqIiBAUFISoqCvn5+RWu6/p7jYmJicbsE5VKhYcPH6JJkyb4/vvv4eHhITAdvYqLiwvGjx+P2bNnw8jICOnp6ejUqRNmzZqFq1evIjY2VnTEapPJZEhNTYW9vb3GekZGBpydnVFcXCwoGdEzbm5uL7wmkUh0/vegqakpjh07hq5du2Lr1q0IDQ1FamoqoqOj8eWXX3JQPRGRDjAUHYCIiIieOXbsGORyOaKjo2FgYAAvLy8OrCWqZVZWVmjbtq3GWvv27SGVSgUl0p6FCxciISEBGzduhI+PDzZs2IDff/8dW7Zs0YuWImvXrtX4WiqVonXr1nj33Xc1eqNT3bR8+XIMHz4cGRkZKCsrw7p163Dx4kWcPn26ynNt6jpjY2PcunWrQjEjJycHRkZGglIR/b+EhATREWpUcXGx+mctLi4OY8eOhVQqRZ8+fZCdnS04HRERVQVPZhAREQmUk5MDhUIBhUKBGzduoF+/fpg+fTq8vLwqHO0nIqoOCwsLREZGwtXVFcbGxjh37hxsbGywbds27Ny5ky3tSLhff/0VX3/9Nc6ePYvy8nL06tULQUFBcHR0FB1NKwIDA7Fv3z58/fXX6NevHyQSCRITE7FgwQKMGzeuQkGOSJSrV6/i2rVrGDhwIGQyGVQqlcbJN13VvXt3+Pv7Y8yYMejWrRtiY2PRt29fnD17Fu7u7sjLyxMdkYiIXoHFDCIiIkGGDBmChIQEtG7dGj4+PvDz80OXLl1ExyKi5xQUFKBFixaiY2hFs2bNcPHiRVhaWqJDhw6IiYlB7969cePGDTg6OuLRo0eiI76RW7duVek+CwuLGk5C9HJPnz7FwoULsWnTJpSVlQEAGjRogBkzZmDFihVo1KiR4IRU3+Xn58PLywsJCQmQSCS4cuUKrK2tMX36dLRo0QLffPON6IjVsnfvXkycOBFKpRKDBg3C4cOHATw7GXb8+HH8/PPPghMSEdGrsM0UERGRIDKZDNHR0Rg1ahQMDAxExyGq91auXAkrKyt4e3sDALy8vBAdHQ1zc3P89NNP6NGjh+CE1WNtbY2bN2/C0tISDg4OiIqKQu/evXHgwAGdLthYWVlVumP4+Z3EEolE/fCY6qbCwsJK1yUSCRo1aoSGDRvWciLtKS4uxoIFC/DDDz+gtLQUnp6emDVrFpo3bw4bGxs0adJEdEQiAMC8efPQoEED3Lp1C2+99ZZ63dvbG/PmzdP5Ysb48eMxYMAA5ObmavxO/9vf/oYxY8YITEZERFXFkxlERERERHj2sP/7779Hv379cPjwYXh5eWH37t2IiorCrVu3EBcXJzpitaxZswYGBgYIDAxEQkIC3N3doVQqUVZWhpCQEMyZM0d0xDeSlpZW6bpKpcKuXbuwfv16NGvWDHfv3q3lZPQ6pFLpS9vYdOjQAb6+vggODta5GTYLFizAxo0bMWnSJMhkMuzYsQOurq7Ys2eP6GhEGszNzXHo0CH06NEDRkZGSEtLg7W1tc6f4PsrfW2jRURUH/BkBhERERERgNzcXHTs2BEAcPDgQXh5eWHo0KGwsrLCu+++Kzhd9c2bN0/92s3NDZcuXUJKSgo6d+6s06dOKsv+yy+/YNGiRcjKysLChQsxf/58AcnodSgUCnz22Wfw9fVF7969oVKpcObMGURERODzzz/HvXv38PXXX6NRo0ZYvHix6LivJSYmBmFhYZgwYQIAYNKkSejfvz+USiVPZlKdUlRUVOlJof/85z960QbtRW20/P399aKNFhFRfaBbW1qIiIiIiGqIiYkJcnJyAACxsbEYPHgwgGc7/JVKpcho1VZeXg65XI5Ro0ahW7ducHR0xKxZs/Do0SN0795ddDytOXv2LIYMGYJRo0ahT58+uHr1Kr766is0a9ZMdDR6hYiICHzzzTdYunQp/uu//gseHh5YunQpvv76a+zevRufffYZ1q9fj8jISNFRX1tOTg7ee+899de9e/eGoaEhbt++LTAVUUUDBw7U+BmTSCQoLy/H6tWr4ebmJjCZdjzfRuv5oo23tzdiY2MFJiMioqriyQwiIiIiIgBjx47FxIkTYWtri/z8fIwYMQIAcP78edjY2AhO9+ZUKhU8PDzUcz8cHR2hUqmQmZkJX19fxMTE4IcffhAds1quXr2Kzz77DNHR0fDy8kJGRgasra1Fx6LXcPr0aWzevLnCupOTE06fPg0AGDBgQJUHvtclSqWywswPQ0NDznGhOmf16tVwdXVFSkqKemD9xYsXcf/+fZw8eVJ0vGqLi4vDoUOH0KFDB411W1tbZGdnC0pFRESvg8UMIiIiIiI8mylhZWWFnJwcrFq1Sr2bPzc3FzNnzhSc7s0pFAocP34cR44cqbCzNj4+Hp6enoiMjISPj4+ghNUzc+ZMhIWFwc3NDSkpKejZs6foSPQGOnTogLCwMKxYsUJjPSwsTN3+LT8/HyYmJiLiVYtKpYKvr69Gm57Hjx8jICAATZs2Va/FxMSIiEek5uDggPT0dGzatAkGBgYoKirC2LFj8dFHH6Ft27ai41WbvrfRIiKqDzgAnIiIiIgIzx5yPP9gUV8MHToUgwYNwqJFiyq9vmzZMhw7dgyHDh2q5WTaIZVK0bhxY9jb27/0vnPnztVSInoT+/fvx/vvvw97e3u88847kEgkOHPmDDIzMxEdHY1Ro0Zh06ZNuHLlCkJCQkTHfS3Tpk2r0n3h4eE1nISofnN3d0evXr2wdOlSGBkZIT09HZaWlpgwYQLKy8uxd+9e0RGJiOgVWMwgIiIiIgLQrFkzeHl5wc/PDwMGDBAdR2vMzc0RGxv7whMLqampGDFiBPLy8mo3mJYsWbKkSvcFBwfXcBKqruzsbGzatAlZWVlQqVSwt7fH3//+dxQUFPDEDVEt+eOPPxAWFobMzExIJBK89dZbmDZtGlq2bCk6WrVlZGTA1dUVb7/9NuLj4+Hh4aHRRqtz586iIxIR0SuwmEFEREREBODAgQNQKBQ4ePAgLC0t4efnBx8fH7Rr1050tGpp2LAhsrOzX9gi5Pbt2+jUqROePHlSy8mIXqygoADbt2+HXC7H+fPnoVQqRUci0nvHjh3D6NGjYWxsDGdnZwDA2bNnUVBQgP3798PFxUVwwurLy8vDpk2bcPbsWZSXl6NXr15600aLiKg+YDGDiIiIiOg5+fn5iIyMhEKhQEZGBoYNGwY/Pz94eHjA0FD3Rs4ZGBggLy8PrVu3rvT6nTt30K5dO51/WDxo0CDExMSgRYsWGuuFhYXw9PREfHy8mGD0WuLj4yGXyxETEwNLS0uMGzcO48aNg5OTk+hoRHqvW7du6Nevn3pmBvBsgP3MmTNx8uRJXLhwQXDCN1daWoqhQ4diy5YtsLOzEx2HiIjeEIsZREREREQvEBoaigULFuDp06cwNTVFQEAAFi1aVOkA0bpKKpVixIgRLxxu+uTJE8TGxup8MUMqlSIvLw9mZmYa63fv3kX79u1RWloqKBm9ym+//QaFQgG5XI6ioiJ4eXlh8+bNSEtLg4ODg+h4RPWGTCbD+fPn0aVLF431y5cvo2fPnigpKRGUTDtat26NU6dOwdbWVnQUIiJ6Q7q3tYyIiIiIqAbl5eUhMjIS4eHhuHXrFsaPH4/p06fj9u3bWLFiBZKSkhAXFyc6ZpVNnTr1lff4+PjUQpKakZ6ern6dkZGhMftDqVQiNjYW7du3FxGNqmDkyJFITEzEqFGjEBoaiuHDh8PAwACbN28WHY2o3unVqxcyMzMrFDMyMzP1Ym6Nj48PwsLCsGLFCtFRiIjoDbGYQUREREQEICYmBuHh4Th06BAcHBzw0UcfYfLkyRpti3r27Klz7W7Cw8NFR6hRPXv2hEQigUQiwaBBgypcl8lkCA0NFZCMqiIuLg6BgYGYMWMGd0sTCfB8QTgwMBBz5szB1atX0adPHwBAUlISNmzYoBcFgKdPn2Lr1q04fPgwnJ2d0bRpU43rISEhgpIREVFVsc0UERERERGA5s2bY8KECfD398c777xT6T0lJSVYtWoVgoODazkdvUh2djZUKhWsra2RnJysMRukYcOGMDMzU/d+p7rn9OnTkMvliIqKgr29PaZMmQJvb2+0a9eObaaIaoFUKoVEIsGrHg1JJBKdb0fo5ub2wmsSiYSzlYiIdACLGUREREREAIqLi3VqFgaRPikuLsauXbsgl8uRnJwMpVKJkJAQ+Pn5wcjISHQ8Ir2VnZ1d5XstLS1rMAkREdGrsZhBRERERPQXJSUlFQZGGxsbC0pDVREREQFTU1O4u7sDABYuXIh///vfcHBwwM6dO/kQTodcvnwZYWFh2LZtGwoKCjBkyBDs379fdCwiIiIiEozFDCIiIiIiAEVFRQgKCkJUVBTy8/MrXNf19hr6rkuXLti0aRMGDRqE06dP429/+xvWrl2LgwcPwtDQEDExMaIj0mtSKpU4cOAA5HI5ixlEteT333/HyZMncffuXZSXl2tcCwwMFJTqzY0dO7bK9/L3BBFR3ccB4EREREREeLaTPyEhARs3boSPjw82bNiA33//HVu2bNGLwaf6LicnBzY2NgCAH374AePHj8eHH36I/v37w9XVVWw4eiMGBgbw9PSEp6en6ChE9UJ4eDgCAgLQsGFDtGrVChKJRH1NIpHoZDGjefPm6tcqlQr79u1D8+bN4ezsDAA4e/YsCgoKXqvoQURE4vBkBhERERERAAsLC0RGRsLV1RXGxsY4d+4cbGxssG3bNuzcuRM//fST6Ij0EmZmZjh06BCcnJzg5OSEefPmwcfHB9euXUOPHj3w6NEj0RGJiOq0jh07IiAgAJ9++imkUqnoOFoXFBSE+/fvY/PmzTAwMADw7ATYzJkzYWxsjNWrVwtOSEREr6J/v52IiIiIiN7A/fv30alTJwDP5mPcv38fADBgwAAcP35cZDSqgiFDhsDf3x/+/v7IyspSz864ePEirKysxIYjItIBxcXFmDBhgl4WMgBALpdj/vz56kIG8OwE2Mcffwy5XC4wGRERVZV+/oYiIiIiInpN1tbWuHnzJgDAwcEBUVFRAIADBw6gRYsW4oJRlWzYsAF9+/bFvXv3EB0djVatWgF41kLkgw8+EJyOiKjumz59Ovbs2SM6Ro0pKytDZmZmhfXMzMwK80GIiKhuYpspIiIiIiIAa9asgYGBAQIDA5GQkAB3d3colUqUlZUhJCQEc+bMER2RiIioxiiVSowaNQolJSVwdHREgwYNNK6HhIQISqYdH3/8MRQKBRYvXow+ffoAAJKSkrBixQr4+Pjo/PdHRFQfsJhBRERERFSJW7duISUlBZ07d0aPHj1Ex6EqKi4uxq1bt/D06VON9e7duwtKRESkG5YuXYrg4GB06dIFbdq0qTAAPD4+XmC66isvL8fXX3+NdevWITc3FwDQtm1bzJkzB5988olG+ykiIqqbWMwgIiIionqvvLwcCoUCMTExuHnzJiQSCTp16oTx48djypQpGg90qG66d+8efH19ERsbW+l1pVJZy4mIiHSLiYkJ1qxZA19fX9FRalxhYSGAZzOyiIhId3BmBhERERHVayqVCh4eHvD398fvv/8OR0dHdO3aFdnZ2fD19cWYMWNER6QqmDt3LgoKCpCUlASZTIbY2FhERETA1tYW+/fvFx2PiKjOa9SoEfr37y86Rq0wNjZmIYOISAcZig5ARERERCSSQqHA8ePHceTIEbi5uWlci4+Ph6enJyIjI+Hj4yMoIVVFfHw8fvzxR7zzzjuQSqWwtLTEkCFDYGxsjOXLl8Pd3V10RCKiOm3OnDkIDQ3F+vXrRUfRGicnpyqfrjx37lwNpyEioupiMYOIiIiI6rWdO3di8eLFFQoZADBo0CAsWrQI27dvZzGjjisqKoKZmRkAoGXLlrh37x7s7Ozg6OjIB1RERFWQnJyM+Ph4HDx4EF27dq0wADwmJkZQsjfn6empfv348WNs3LgRDg4O6Nu3L4BnA8AvXryImTNnCkpIRESvg8UMIiIiIqrX0tPTsWrVqhdeHzFihF7tUtVXXbp0weXLl2FlZYWePXtiy5YtsLKywubNm9G2bVvR8YiI6rwWLVpg7NixomNoVXBwsPq1v78/AgMDsXTp0gr35OTk1HY0IiJ6AxwATkRERET1WsOGDZGdnf3CB963b99Gp06d8OTJk1pORq9j+/btKC0tha+vL1JTUzFs2DDk5+ejYcOGUCgU8Pb2Fh2RiIgEat68OVJSUmBra6uxfuXKFTg7O+PBgweCkhERUVXxZAYRERER1WtKpRKGhi/+WGxgYICysrJaTESvo7i4GAsWLMAPP/yA0tJSxMXFYf369bh58yYuXboECwsLmJqaio5JRESCyWQyJCYmVihmJCYmonHjxoJSERHR62Axg4iIiIjqNZVKBV9fXzRq1KjS6zyRUbcFBwdDoVBg0qRJkMlk2LFjB2bMmIE9e/agV69eouMREemMTp06vXRY9vXr12sxjfbNnTsXM2bMwNmzZ9GnTx8Az2ZmhIWFabSjIiKiuovFDCIiIiKq16ZOnfrKezj8u+6KiYlBWFgYJkyYAACYNGkS+vfvD6VSCQMDA8HpiIh0x9y5czW+Li0tRWpqKmJjY7FgwQIxobRo0aJFsLa2xrp167Bjxw4AgIODAyIjIyuc1iAiorqJMzOIiIiIiEhnNWzYEDdu3ED79u3VazKZDFlZWejYsaPAZERE+mHDhg1ISUlBeHi46ChaVVBQgO3btyMsLAxpaWlQKpWiIxER0StIRQcgIiIiIiJ6U0qlEg0bNtRYMzQ05JwTIiItGTFiBKKjo0XH0Jr4+HhMnjwZ7dq1w7fffouRI0ciJSVFdCwiIqoCtpkiIiIiIiKdVdnMk8ePHyMgIABNmzZVr8XExIiIR0Sk8/bu3YuWLVuKjlEtv/32GxQKBeRyOYqKiuDl5YXS0lJER0fDwcFBdDwiIqoiFjOIiIiIiEhnVTbzZPLkyQKSEBHpNicnJ40B4CqVCnl5ebh37x42btwoMFn1jBw5EomJiRg1ahRCQ0MxfPhwGBgYYPPmzaKjERHRa+LMDCIiIiIiIiKieu6rr77SKGZIpVK0bt0arq6usLe3F5isegwNDREYGIgZM2ZoDPpu0KAB0tLSeDKDiEiH8GQGEREREREREVE999VXX4mOUCNOnDgBuVwOZ2dn2NvbY8qUKfD29hYdi4iI3gBPZhARERERERER1VNSqVTjREZlJBIJysrKailRzSguLsauXbsgl8uRnJwMpVKJkJAQ+Pn5wcjISHQ8IiKqAhYziIiIiIiIiIjqqR9//PGF106dOoXQ0FCoVCqUlJTUYqqadfnyZYSFhWHbtm0oKCjAkCFDsH//ftGxiIjoFVjMICIiIiIiIiIitUuXLuHTTz/FgQMHMGnSJCxduhQWFhaiY2mdUqnEgQMHIJfLWcwgItIBLGYQERERERERERFu376N4OBgREREYNiwYVi2bBkcHR1FxyIiIgIASEUHICIiIiIiIiIicR48eICgoCDY2Njg4sWLOHLkCA4cOMBCBhER1SmGogMQEREREREREZEYq1atwsqVK2Fubo6dO3di9OjRoiMRERFVim2miIiIiIiIiIjqKalUCplMhsGDB8PAwOCF98XExNRiKiIioop4MoOIiIiIiIiIqJ7y8fGBRCIRHYOIiOiVeDKDiIiIiIiIiIiIiIjqNA4AJyIiIiIiIiIiIiKiOo3FDCIiIiIiIiIiIiIiqtNYzCAiIiIiIiIiIiIiojqNxQwiIiIiIiIiIiIiIqrTWMwgIiIiIiIiIiIiIqI6jcUMIiIiIiIiIiIiIiKq01jMICIiIiIiIiIiIiKiOo3FDCIiIiIiIiIiIiIiqtP+D5iE9TmI2x+QAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 2000x1000 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20,10))\n",
    "sns.heatmap(df_new.corr(),cmap=\"YlGnBu\")\n",
    "plt.title(\"New Correlation Heatmap\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6520694a",
   "metadata": {},
   "source": [
    "There  appears some correlation between BasePolicy and VehicleCategory However, I'll keep it as is for the time being."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "47590ac7",
   "metadata": {},
   "outputs": [],
   "source": [
    "def conf_matrix(y_test,y_pred):\n",
    "    con_matrix = confusion_matrix(y_test,y_pred)\n",
    "    con_matrix = pd.DataFrame(con_matrix,range(2),range(2))\n",
    "    \n",
    "    plt.figure(figsize=(5,5))\n",
    "    plt.title(\"Confusion Matrix\")\n",
    "    sns.heatmap(con_matrix,annot=True,cbar=False,fmt='g')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0f3731bc",
   "metadata": {},
   "source": [
    "# Data Modeling"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "7dccd9a8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((11565, 21), (3855, 21), (11565, 1), (3855, 1))"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X = df_new.drop('FraudFound',axis=1)\n",
    "y = df_new[['FraudFound']]\n",
    "X_train,X_test,y_train,y_test = train_test_split(X,y,stratify=y)\n",
    "X_train.shape, X_test.shape, y_train.shape, y_test.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "849daca8",
   "metadata": {},
   "source": [
    "# Logistic Regression"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "c78dae1e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy of thie model:\t\t 0.9398184176394293\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "lr = LogisticRegression()\n",
    "lr.fit(X_train,y_train)\n",
    "lr_pred = lr.predict(X_test)\n",
    "\n",
    "acc_lr=accuracy_score(y_test, lr_pred)\n",
    "print(\"Accuracy of thie model:\\t\\t\",acc_lr)\n",
    "conf_matrix(y_test,lr_pred)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b8c3f4b0",
   "metadata": {},
   "source": [
    "# RandomForest Classifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "840a969b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy of thie model:\t\t 0.9385214007782101\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAa8AAAHBCAYAAADelTQrAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8qNh9FAAAACXBIWXMAAA9hAAAPYQGoP6dpAAAeNElEQVR4nO3ceVxVdf7H8feV5SoopJBr4jqairlrMimWS2OMZlqm5oKa5tLiWpHl1qLSTJam8nBcsLLUJjWzybJcKsUiRzOtLBfc0nHArTQR8fz+6Ac/byyCP+T2kdfz8ejxiHO+99zP4aG9OucecDmO4wgAAEOKeXsAAADyi3gBAMwhXgAAc4gXAMAc4gUAMId4AQDMIV4AAHOIFwDAHOIFADCHeMGrduzYof79+6tatWoqXry4SpYsqcaNGys2NlYnTpy4pu+9bds2RUZGKjg4WC6XSy+//HKBv4fL5dLEiRML/LhXEh8fL5fLJZfLpQ0bNmTZ7ziOatasKZfLpTZt2lzVe8yePVvx8fH5es2GDRtynAnID19vD4Ci6x//+IeGDRum2rVra+zYsapbt67S0tL01VdfKS4uTgkJCVqxYsU1e/8BAwbo7NmzWrJkiUqXLq2qVasW+HskJCTopptuKvDj5lWpUqU0f/78LIHauHGj9u7dq1KlSl31sWfPnq3Q0FBFR0fn+TWNGzdWQkKC6tate9XvC0jEC16SkJCgoUOHqn379lq5cqXcbnfmvvbt22v06NFas2bNNZ1h586dGjRokDp27HjN3uPWW2+9ZsfOi/vvv1+LFy/WrFmzFBQUlLl9/vz5atmypc6cOVMoc6SlpcnlcikoKMjr3xNcH7htCK944YUX5HK5NHfuXI9wZfD391fnzp0zv7506ZJiY2N18803y+12q2zZsurbt68OHz7s8bo2bdooPDxciYmJatWqlQICAlS9enVNnTpVly5dkvR/t9QuXryoOXPmZN5ek6SJEydm/vvlMl6TlJSUuW3dunVq06aNQkJCVKJECYWFhalbt246d+5c5prsbhvu3LlTd999t0qXLq3ixYurYcOGWrRokceajNtrb731lsaNG6eKFSsqKChI7dq10+7du/P2TZbUs2dPSdJbb72Vue306dN65513NGDAgGxfM2nSJLVo0UJlypRRUFCQGjdurPnz5+vy3+FdtWpV7dq1Sxs3bsz8/mVcuWbM/vrrr2v06NGqVKmS3G639uzZk+W2YXJysipXrqyIiAilpaVlHv/bb79VYGCg+vTpk+dzRdFCvFDo0tPTtW7dOjVp0kSVK1fO02uGDh2qJ554Qu3bt9eqVav07LPPas2aNYqIiFBycrLH2mPHjumBBx5Q7969tWrVKnXs2FExMTF64403JElRUVFKSEiQJN17771KSEjI/DqvkpKSFBUVJX9/fy1YsEBr1qzR1KlTFRgYqAsXLuT4ut27dysiIkK7du3SjBkztHz5ctWtW1fR0dGKjY3Nsv6pp57SgQMHNG/ePM2dO1c//vijOnXqpPT09DzNGRQUpHvvvVcLFizI3PbWW2+pWLFiuv/++3M8t4ceekjLli3T8uXL1bVrVz3yyCN69tlnM9esWLFC1atXV6NGjTK/f7+/xRsTE6ODBw8qLi5O7733nsqWLZvlvUJDQ7VkyRIlJibqiSeekCSdO3dO9913n8LCwhQXF5en80QR5ACF7NixY44kp0ePHnla/9133zmSnGHDhnls/+KLLxxJzlNPPZW5LTIy0pHkfPHFFx5r69at69x5550e2yQ5w4cP99g2YcIEJ7u/FgsXLnQkOfv373ccx3H++c9/OpKc7du35zq7JGfChAmZX/fo0cNxu93OwYMHPdZ17NjRCQgIcE6dOuU4juOsX7/ekeTcddddHuuWLVvmSHISEhJyfd+MeRMTEzOPtXPnTsdxHKdZs2ZOdHS04ziOU69ePScyMjLH46SnpztpaWnO5MmTnZCQEOfSpUuZ+3J6bcb7tW7dOsd969ev99g+bdo0R5KzYsUKp1+/fk6JEiWcHTt25HqOKNq48sIf3vr16yUpy4MBzZs3V506dfTJJ594bC9fvryaN2/use2WW27RgQMHCmymhg0byt/fX4MHD9aiRYu0b9++PL1u3bp1atu2bZYrzujoaJ07dy7LFeDlt06l385DUr7OJTIyUjVq1NCCBQv0zTffKDExMcdbhhkztmvXTsHBwfLx8ZGfn5/Gjx+vlJQUHT9+PM/v261btzyvHTt2rKKiotSzZ08tWrRIM2fOVP369fP8ehQ9xAuFLjQ0VAEBAdq/f3+e1qekpEiSKlSokGVfxYoVM/dnCAkJybLO7Xbr119/vYpps1ejRg19/PHHKlu2rIYPH64aNWqoRo0aeuWVV3J9XUpKSo7nkbH/cr8/l4zPB/NzLi6XS/3799cbb7yhuLg41apVS61atcp27ZdffqkOHTpI+u1p0E2bNikxMVHjxo3L9/tmd565zRgdHa3z58+rfPnyfNaFKyJeKHQ+Pj5q27attm7dmuWBi+xk/Af86NGjWfb99NNPCg0NLbDZihcvLklKTU312P77z9UkqVWrVnrvvfd0+vRpbdmyRS1bttSIESO0ZMmSHI8fEhKS43lIKtBzuVx0dLSSk5MVFxen/v3757huyZIl8vPz0+rVq9W9e3dFRESoadOmV/We2T34kpOjR49q+PDhatiwoVJSUjRmzJirek8UHcQLXhETEyPHcTRo0KBsH3BIS0vTe++9J0m64447JCnzgYsMiYmJ+u6779S2bdsCmyvjibkdO3Z4bM+YJTs+Pj5q0aKFZs2aJUn697//nePatm3bat26dZmxyvDaa68pICDgmj1GXqlSJY0dO1adOnVSv379clzncrnk6+srHx+fzG2//vqrXn/99SxrC+pqNj09XT179pTL5dIHH3ygKVOmaObMmVq+fPn/+9i4fvFzXvCKli1bas6cORo2bJiaNGmioUOHql69ekpLS9O2bds0d+5chYeHq1OnTqpdu7YGDx6smTNnqlixYurYsaOSkpL0zDPPqHLlyho5cmSBzXXXXXepTJkyGjhwoCZPnixfX1/Fx8fr0KFDHuvi4uK0bt06RUVFKSwsTOfPn898oq9du3Y5Hn/ChAlavXq1br/9do0fP15lypTR4sWL9f777ys2NlbBwcEFdi6/N3Xq1CuuiYqK0ksvvaRevXpp8ODBSklJ0d/+9rdsf5yhfv36WrJkiZYuXarq1aurePHiV/U51YQJE/TZZ5/po48+Uvny5TV69Ght3LhRAwcOVKNGjVStWrV8HxNFgLefGEHRtn37dqdfv35OWFiY4+/v7wQGBjqNGjVyxo8f7xw/fjxzXXp6ujNt2jSnVq1ajp+fnxMaGur07t3bOXTokMfxIiMjnXr16mV5n379+jlVqlTx2KZsnjZ0HMf58ssvnYiICCcwMNCpVKmSM2HCBGfevHkeTxsmJCQ499xzj1OlShXH7XY7ISEhTmRkpLNq1aos73H504aO4zjffPON06lTJyc4ONjx9/d3GjRo4CxcuNBjTcZTeW+//bbH9v379zuSsqz/vcufNsxNdk8MLliwwKldu7bjdrud6tWrO1OmTHHmz5/vcf6O4zhJSUlOhw4dnFKlSjmSMr+/Oc1++b6Mpw0/+ugjp1ixYlm+RykpKU5YWJjTrFkzJzU1NddzQNHkcpzLfvIQAAAD+MwLAGAO8QIAmEO8AADmEC8AgDnECwBgDvECAJhDvAAA5vxhfsNGWnLefis3cL0qUTH7X5YLFCUXLxzJ0zquvAAA5hAvAIA5xAsAYA7xAgCYQ7wAAOYQLwCAOcQLAGAO8QIAmEO8AADmEC8AgDnECwBgDvECAJhDvAAA5hAvAIA5xAsAYA7xAgCYQ7wAAOYQLwCAOcQLAGAO8QIAmEO8AADmEC8AgDnECwBgDvECAJhDvAAA5hAvAIA5xAsAYA7xAgCYQ7wAAOYQLwCAOcQLAGAO8QIAmEO8AADmEC8AgDnECwBgDvECAJhDvAAA5hAvAIA5xAsAYA7xAgCYQ7wAAOYQLwCAOcQLAGAO8QIAmEO8AADmEC8AgDnECwBgDvECAJhDvAAA5hAvAIA5xAsAYA7xAgCYQ7wAAOYQLwCAOcQLAGAO8QIAmEO8AADmEC8AgDnECwBgDvECAJhDvAAA5hAvAIA5xAsAYA7xAgCYQ7wAAOYQLwCAOcQLAGAO8QIAmEO8AADmEC8AgDnECwBgDvECAJhDvAAA5hAvAIA5xAsAYA7xAgCYQ7wAAOYQLwCAOcQLAGAO8QIAmEO8AADmEC8AgDnECwBgDvECAJhDvAAA5hAvAIA5xAsAYA7xAgCYQ7wAAOYQLwCAOcTrOrFkxWrd03eoWrTvqhbtu+qBwSP1WUKix5q9SQf18OMTdWuHbmrerqt6DRqho8eOZ+5/+91/Kfrhx9WifVeF/7mjzvz8S5b3OX3mZz05+UXd2qGbbu3QTU9OfjHbdcAfVavbWmjlingdTNqqixeOqHPnO3NcO3vWNF28cESPPvJgIU6IvCBe14nyN4Zq5JD+Wjp/hpbOn6HmTRrokScna8++A5Kkg4d/Ut+hY1StSmUtfHWa3lk0Sw/17yV/t3/mMc6fT9VtLZpqUN8eOb7PE5NitfvHfYp76TnFvfScdv+4TzHPvnjNzw8oKIGBAdqx41s9OuLpXNd17nynmjdvpCNHjhbSZMgPX28PgILR5rZbPb5+7KFoLV3xvr7e9b1qVq+iGXMXqVXLZho9fGDmmsqVKni8ps/990iSvvz3jmzfY2/SQX2+5Su9OXe6bql3syRp4hOP6oGHRmn/gcOqVuWmgjwl4JpY8+F6rflwfa5rKlYsrxkvP6+7/tpLq1a+VkiTIT/yHa/Dhw9rzpw52rx5s44dOyaXy6Vy5copIiJCQ4YMUeXKla/FnMiH9PR0fbj+M/16/rwaht+sS5cu6dPNiRrwwL0aPHKcvv9hrypVLK8H+3RX29YReT7u1zu/U6mSgZnhkqQG4XVUqmSgtu/8lnjhuuByubRo4Qz9/aU5+vbbH7w9DnKQr9uGn3/+uerUqaMVK1aoQYMG6tu3r3r37q0GDRpo5cqVqlevnjZt2nStZsUV/LB3v5q1u0eNb++sZ198Va+88IxqVKuiEydP6dyvv2r+G8t0W4ummjv9ebVtHaERTz2nxG3ZX2VlJznlpMqUviHL9jKlb1ByyskCPBPAex4fO1wXL17UzFfne3sU5CJfV14jR47Ugw8+qOnTp+e4f8SIEUpMTMx2f4bU1FSlpqZ6bCuWmiq3252fcfA71cJu0jvxs3Tm51+0dsMmjXv+74p/NValSpaUJN3eqqX69vjt1uDNtWpo+zffatnKf6lZo1vy/B6ubLY5jiOXK7s9gC2NG9XXIw8PVLMWf/H2KLiCfF157dy5U0OGDMlx/0MPPaSdO3de8ThTpkxRcHCwxz/TXonLzyjIhp+fn8JuqqjwOrU0cmh/1a5ZXW+8/a5K3xAkXx8f1aga5rG+etXKOvqf/+b5+KEhpZVy8lSW7SdPnVZImRv+n9MD3nfbbS1Utmyo9u/9UufPHdD5cwdUtWplvRg7Xnt+2OLt8XCZfF15VahQQZs3b1bt2rWz3Z+QkKAKFSpku+9yMTExGjVqlMe2Yj8fyc8oyAPHcXThQpr8/PxUr04t7T942GN/0qEjqli+bJ6P1yC8jn7+5ay++Xa36tf97c/Ajl3f6+dfzqpheN0CnR3whjcWv6NP1n3mse1fqxdr8ZvvKH7RMi9NhezkK15jxozRkCFDtHXrVrVv317lypWTy+XSsWPHtHbtWs2bN08vv/zyFY/jdruz3CJMu5Ccr8Hh6eW4eLW6tanKl7tRZ8+d0wcfb1Titm8U9/dnJUn9e3XTmPFT1bRhuJo3bqDPt3yljZu+0MKZ0zKPkZxyQskpJ3Xw8E+SpB/3JikwoIQqlC+r4KBSqlE1TLfd2lQTpr2iCWMfkSRNjJ2hyD8352ENmBEYGKCaNatlfl2tapgaNKinEydO6tChn3TihOfnt2lpF3Xs2H/1ww97C3tU5MLlOI6TnxcsXbpU06dP19atW5Weni5J8vHxUZMmTTRq1Ch17979qgZJS953Va/Db56ZMl1ffLVd/005oVKBgapVs5oGPHCfIpo3zlyzfPWHmvf6Mv3neLKqht2k4Q/21h2tWmbunzX/Dc1ZsDjLsZ97apS6RLWX9NsPKb8wfY42fP7bLZQ2t92qcaOGKahUyWt8hte/EhVbeXuEIiGydUt98vE/s2xf9NoyDXxwZJbte37Yohkz52nGzHmFMV6Rd/FC3u7C5TteGdLS0pSc/NvVUmhoqPz8/K7mMP93POKFIo54AXmP11X/kLKfn1+ePt8CAKCg8euhAADmEC8AgDnECwBgDvECAJhDvAAA5hAvAIA5xAsAYA7xAgCYQ7wAAOYQLwCAOcQLAGAO8QIAmEO8AADmEC8AgDnECwBgDvECAJhDvAAA5hAvAIA5xAsAYA7xAgCYQ7wAAOYQLwCAOcQLAGAO8QIAmEO8AADmEC8AgDnECwBgDvECAJhDvAAA5hAvAIA5xAsAYA7xAgCYQ7wAAOYQLwCAOcQLAGAO8QIAmEO8AADmEC8AgDnECwBgDvECAJhDvAAA5hAvAIA5xAsAYA7xAgCYQ7wAAOYQLwCAOcQLAGAO8QIAmEO8AADmEC8AgDnECwBgDvECAJhDvAAA5hAvAIA5xAsAYA7xAgCYQ7wAAOYQLwCAOcQLAGAO8QIAmEO8AADmEC8AgDnECwBgDvECAJhDvAAA5hAvAIA5xAsAYA7xAgCYQ7wAAOYQLwCAOcQLAGAO8QIAmEO8AADmEC8AgDnECwBgDvECAJhDvAAA5hAvAIA5xAsAYA7xAgCYQ7wAAOYQLwCAOcQLAGAO8QIAmEO8AADmEC8AgDnECwBgDvECAJhDvAAA5hAvAIA5vt4eIEPlmlHeHgEAYARXXgAAc4gXAMAc4gUAMId4AQDMIV4AAHOIFwDAHOIFADCHeAEAzCFeAABziBcAwBziBQAwh3gBAMwhXgAAc4gXAMAc4gUAMId4AQDMIV4AAHOIFwDAHOIFADCHeAEAzCFeAABziBcAwBziBQAwh3gBAMwhXgAAc4gXAMAc4gUAMId4AQDMIV4AAHOIFwDAHOIFADCHeAEAzCFeAABziBcAwBziBQAwh3gBAMwhXgAAc4gXAMAc4gUAMId4AQDMIV4AAHOIFwDAHOIFADCHeAEAzCFeAABziBcAwBziBQAwh3gBAMwhXgAAc4gXAMAc4gUAMId4AQDMIV4AAHOIFwDAHOIFADCHeAEAzCFeAABziBcAwBziBQAwh3gBAMwhXgAAc4gXAMAc4gUAMId4AQDMIV4AAHOIFwDAHOIFADCHeAEAzCFeAABziBcAwBziBQAwh3gBAMwhXgAAc4gXAMAc4gUAMId4AQDMIV4AAHOIFwDAHOIFADCHeAEAzCFeAABziBcAwBziBQAwh3gBAMwhXgAAc4gXAMAc4gUAMId4AQDMIV4AAHOI13XqkZGDtGbdMu059JV2/vi5Fi6eqRo1q2bu9/X11dMTR2v9pne178hWbf9uo2bGTVW58jd6HCd2+kRt2fah9h/dpl17Nin+zVdV80/VCvlsgGvHx8dHkyc9rh93J+jn03v0w/eb9fS4EXK5XN4eDbkgXtepln9upoXz3lRU+x7qfs9A+fr4aumK+QoIKCFJKhFQXPUb1NX0F+eofWQ3DejzqKrXqKrX3prtcZwd23dpxPBxat0iSj26DZLL5dKS5fNUrBh/dHB9eHzscA0e1EePjXha4be00ZNPPa/Ro4bq4eEDvD0acuFyHMfx9hCSVP6GOt4e4boWElJau/ZuVpe7+mjL5q+yXdOwUbjWrH9bTcLv0JHDR7NdU6deLa3f9K5aNOygA0mHruXIRU7yuTPeHqFIenfFIv3n+H81+KExmduWLZ2rc+fOK7r/o16crGi6eOFIntbxv89FRKmgUpKkUydP57rm0qVLOn06+/+IBgSUUI8HuupA0iH9dOTYNZkTKGybNn+pO26/TX/6U3VJ0i231NWfI5rrgzWfeHky5MbX2wOgcEx64Qlt2fyVvv/ux2z3u93+enriKC1/e7V++fmsx77ogT31zKTRCiwZqB9271X3LgOVlpZWGGMD11zsi7MUHFxKu77ZqPT0dPn4+OiZ8dO0dOm73h4NuSjwK69Dhw5pwIDc7xWnpqbqzJkzHv84zqWCHgX/a8qLz6huvdoa+uCYbPf7+voqbsHf5SpWTE+OmZxl/ztvv6d2rbupy119tH/fAc2Nny632/9ajw0Uiu7dO6tXz27q3Xe4mrX4i/oPHKFRI4eoT5/7vD0aclHgn3l9/fXXaty4sdLT03NcM3HiRE2aNMljW6A7RCWL35jDK3C1no8dp7/c1Vb3RPXRwQNZ7yX7+vpqbvx0Val6k+7t1F8nT57K9Xh+fn7anbRFox59Rivf+dc1mrpo4jMv79i/N1GxL76qOXGLMrc9FfOYevXqqvD6kV6crGjK62de+b5tuGrVqlz379u374rHiImJ0ahRozy2/alys/yOgit4IfZpdfxrO3X9a79cw1W9ehV169TviuHK5HJx5YXrRkBACV265Pn/8Onp6TxR+weX73h16dJFLpdLuV2wXennI9xut9xu9+9ewx+UgjT1b+N1z31Riu71sH755axuLBsqSfr5zM86fz5VPj4+mvfay6p/S1316TFUxXx8MtecOnlaaWlpCqtyk+7u2lEb121SSspJla9QTg+PGKjz51P1yUefevP0gAKz+v21innyUR06dES7vt2thg3DNeKxwYpftMTboyEX+b5tWKlSJc2aNUtdunTJdv/27dvVpEmTXG8bZodH5QvWsVPfZbv9sWExWvrmSlUOq6jEHdk/TdX1r321+fNElSt/o16a8ZxuaVhXwTcE6b/HU7Rl81d6KXa29u5JuobTF03cNvSOkiUDNWni4+py919UtmyIfvrpP1q67F09+9x0HkzygrzeNsx3vDp37qyGDRtq8uSsH+xLv33m1ahRI126lL8HMIgXijriBVzDz7zGjh2rs2fP5ri/Zs2aWr9+fX4PCwBAnvEbNoA/CK68AH7DBgDgOka8AADmEC8AgDnECwBgDvECAJhDvAAA5hAvAIA5xAsAYA7xAgCYQ7wAAOYQLwCAOcQLAGAO8QIAmEO8AADmEC8AgDnECwBgDvECAJhDvAAA5hAvAIA5xAsAYA7xAgCYQ7wAAOYQLwCAOcQLAGAO8QIAmEO8AADmEC8AgDnECwBgDvECAJhDvAAA5hAvAIA5xAsAYA7xAgCYQ7wAAOYQLwCAOcQLAGAO8QIAmEO8AADmEC8AgDnECwBgDvECAJhDvAAA5hAvAIA5xAsAYA7xAgCYQ7wAAOYQLwCAOcQLAGAO8QIAmEO8AADmEC8AgDnECwBgDvECAJhDvAAA5hAvAIA5xAsAYA7xAgCYQ7wAAOYQLwCAOcQLAGAO8QIAmEO8AADmEC8AgDnECwBgDvECAJhDvAAA5hAvAIA5xAsAYA7xAgCYQ7wAAOYQLwCAOcQLAGAO8QIAmEO8AADmEC8AgDnECwBgDvECAJhDvAAA5hAvAIA5xAsAYA7xAgCYQ7wAAOYQLwCAOcQLAGAO8QIAmEO8AADmEC8AgDnECwBgDvECAJjjchzH8fYQ8L7U1FRNmTJFMTExcrvd3h4HKHT8HbCFeEGSdObMGQUHB+v06dMKCgry9jhAoePvgC3cNgQAmEO8AADmEC8AgDnEC5Ikt9utCRMm8EE1iiz+DtjCAxsAAHO48gIAmEO8AADmEC8AgDnECwBgDvGCZs+erWrVqql48eJq0qSJPvvsM2+PBBSaTz/9VJ06dVLFihXlcrm0cuVKb4+EPCBeRdzSpUs1YsQIjRs3Ttu2bVOrVq3UsWNHHTx40NujAYXi7NmzatCggV599VVvj4J84FH5Iq5FixZq3Lix5syZk7mtTp066tKli6ZMmeLFyYDC53K5tGLFCnXp0sXbo+AKuPIqwi5cuKCtW7eqQ4cOHts7dOigzZs3e2kqALgy4lWEJScnKz09XeXKlfPYXq5cOR07dsxLUwHAlREvyOVyeXztOE6WbQDwR0K8irDQ0FD5+Phkuco6fvx4lqsxAPgjIV5FmL+/v5o0aaK1a9d6bF+7dq0iIiK8NBUAXJmvtweAd40aNUp9+vRR06ZN1bJlS82dO1cHDx7UkCFDvD0aUCh++eUX7dmzJ/Pr/fv3a/v27SpTpozCwsK8OBlyw6Py0OzZsxUbG6ujR48qPDxc06dPV+vWrb09FlAoNmzYoNtvvz3L9n79+ik+Pr7wB0KeEC8AgDl85gUAMId4AQDMIV4AAHOIFwDAHOIFADCHeAEAzCFeAABziBcAwBziBQAwh3gBAMwhXgAAc4gXAMCc/wFNJjyGdlqFkgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "rfc = RandomForestClassifier()\n",
    "rfc.fit(X_train,y_train)\n",
    "rfc_pred = rfc.predict(X_test)\n",
    "\n",
    "acc_rfc=accuracy_score(y_test, rfc_pred)\n",
    "print(\"Accuracy of thie model:\\t\\t\",acc_rfc)\n",
    "conf_matrix(y_test,rfc_pred)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4b873702",
   "metadata": {},
   "source": [
    "The dataset exhibits significant imbalance, making it prone to providing inaccurate information. This challenge can be addressed through either of the following two methods.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a7686188",
   "metadata": {},
   "source": [
    "Upscale the Minority Class    (FraudFound ==1) in this case\n",
    "Downsample the Majority Class (FraudFound ==0) in this case"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cfa5b97f",
   "metadata": {},
   "source": [
    "1. Upscale the Minority Class"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "4152add7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    14497\n",
       "1    14497\n",
       "Name: FraudFound, dtype: int64"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "n = df_new.FraudFound.value_counts()[0]\n",
    "\n",
    "df_majority = df_new[df_new.FraudFound==0]\n",
    "df_minority = df_new[df_new.FraudFound==1]\n",
    "\n",
    "df_minority_upsampled = resample(df_minority,replace=True,n_samples = n,random_state=42)\n",
    "\n",
    "df_upsampled = pd.concat([df_majority,df_minority_upsampled])\n",
    "df_upsampled.FraudFound.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "1c154934",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((21745, 21), (7249, 21), (21745, 1), (7249, 1))"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X = df_upsampled.drop('FraudFound',axis=1)\n",
    "y = df_upsampled[['FraudFound']]\n",
    "X_train,X_test,y_train,y_test = train_test_split(X,y,stratify=y)\n",
    "X_train.shape, X_test.shape, y_train.shape, y_test.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "52ded245",
   "metadata": {},
   "source": [
    "# Logistic Regression"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "1b391634",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy of thie model:\t\t 0.7421713339771003\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "lr = LogisticRegression()\n",
    "lr.fit(X_train,y_train)\n",
    "lr_upscale_pred = lr.predict(X_test)\n",
    "\n",
    "acc_lr_upscale=accuracy_score(y_test, lr_upscale_pred)\n",
    "print(\"Accuracy of thie model:\\t\\t\",acc_lr_upscale)\n",
    "conf_matrix(y_test,lr_upscale_pred)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f656b1ba",
   "metadata": {},
   "source": [
    "# RandomForest Classifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "05cb4ef7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy of thie model:\t\t 0.9879983445992551\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "rfc = RandomForestClassifier()\n",
    "rfc.fit(X_train,y_train)\n",
    "rfc_upscale_pred = rfc.predict(X_test)\n",
    "\n",
    "acc_rfc_upscale=accuracy_score(y_test, rfc_upscale_pred)\n",
    "print(\"Accuracy of thie model:\\t\\t\",acc_rfc_upscale)\n",
    "conf_matrix(y_test,rfc_upscale_pred)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0787fd3b",
   "metadata": {},
   "source": [
    "# RandomForest Classifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "03c27c76",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy of thie model:\t\t 0.9877224444751\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "rfc = RandomForestClassifier()\n",
    "rfc.fit(X_train,y_train)\n",
    "rfc_downscale_pred = rfc.predict(X_test)\n",
    "\n",
    "acc_rfc_downscale=accuracy_score(y_test, rfc_downscale_pred)\n",
    "print(\"Accuracy of thie model:\\t\\t\",acc_rfc_downscale)\n",
    "conf_matrix(y_test,rfc_downscale_pred)"
   ]
  }
 ],
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