Logistic Regression.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "## Importing necessary libraries and packages\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "## Importing CSV file\n",
    "df=pd.read_csv(\"S:/ML/datasets/diabetes.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "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>Pregnancies</th>\n",
       "      <th>Glucose</th>\n",
       "      <th>BloodPressure</th>\n",
       "      <th>SkinThickness</th>\n",
       "      <th>Insulin</th>\n",
       "      <th>BMI</th>\n",
       "      <th>DiabetesPedigreeFunction</th>\n",
       "      <th>Age</th>\n",
       "      <th>Outcome</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>6</td>\n",
       "      <td>148</td>\n",
       "      <td>72</td>\n",
       "      <td>35</td>\n",
       "      <td>0</td>\n",
       "      <td>33.6</td>\n",
       "      <td>0.627</td>\n",
       "      <td>50</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>85</td>\n",
       "      <td>66</td>\n",
       "      <td>29</td>\n",
       "      <td>0</td>\n",
       "      <td>26.6</td>\n",
       "      <td>0.351</td>\n",
       "      <td>31</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>8</td>\n",
       "      <td>183</td>\n",
       "      <td>64</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>23.3</td>\n",
       "      <td>0.672</td>\n",
       "      <td>32</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>89</td>\n",
       "      <td>66</td>\n",
       "      <td>23</td>\n",
       "      <td>94</td>\n",
       "      <td>28.1</td>\n",
       "      <td>0.167</td>\n",
       "      <td>21</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0</td>\n",
       "      <td>137</td>\n",
       "      <td>40</td>\n",
       "      <td>35</td>\n",
       "      <td>168</td>\n",
       "      <td>43.1</td>\n",
       "      <td>2.288</td>\n",
       "      <td>33</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Pregnancies  Glucose  BloodPressure  SkinThickness  Insulin   BMI  \\\n",
       "0            6      148             72             35        0  33.6   \n",
       "1            1       85             66             29        0  26.6   \n",
       "2            8      183             64              0        0  23.3   \n",
       "3            1       89             66             23       94  28.1   \n",
       "4            0      137             40             35      168  43.1   \n",
       "\n",
       "   DiabetesPedigreeFunction  Age  Outcome  \n",
       "0                     0.627   50        1  \n",
       "1                     0.351   31        0  \n",
       "2                     0.672   32        1  \n",
       "3                     0.167   21        0  \n",
       "4                     2.288   33        1  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Pregnancies                 0\n",
       "Glucose                     0\n",
       "BloodPressure               0\n",
       "SkinThickness               0\n",
       "Insulin                     0\n",
       "BMI                         0\n",
       "DiabetesPedigreeFunction    0\n",
       "Age                         0\n",
       "Outcome                     0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## Checking missing values\n",
    "df.isna().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "## Correlation heatmap\n",
    "sns.heatmap(df.corr(),annot=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x1f19dd54370>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.catplot(data=df,kind='count',x=\"Outcome\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "x=df.drop(columns=[\"Outcome\"])\n",
    "y=df[\"Outcome\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Data Splitting"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "xtrain,xtest,ytrain,ytest=train_test_split(x,y,test_size=0.2,random_state=0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Model Training"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "F:\\Installed\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py:763: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
      "\n",
      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
      "Please also refer to the documentation for alternative solver options:\n",
      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
      "  n_iter_i = _check_optimize_result(\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "LogisticRegression()"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.linear_model import LogisticRegression\n",
    "model=LogisticRegression()\n",
    "model.fit(xtrain,ytrain)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Model Testing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "ypred=model.predict(xtest)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([1, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0,\n",
       "       0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1,\n",
       "       1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1,\n",
       "       1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
       "       1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1,\n",
       "       0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
       "       0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0],\n",
       "      dtype=int64)"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ypred"
   ]
  },
  {
   "attachments": {
    "image-2.png": {
     "image/png": 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    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Confusion Matrix\n",
    "![image-2.png](attachment:image-2.png)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Model Evaluation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy is : 0.8246753246753247\n",
      "[[98  9]\n",
      " [18 29]]\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.84      0.92      0.88       107\n",
      "           1       0.76      0.62      0.68        47\n",
      "\n",
      "    accuracy                           0.82       154\n",
      "   macro avg       0.80      0.77      0.78       154\n",
      "weighted avg       0.82      0.82      0.82       154\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn.metrics import confusion_matrix,classification_report,accuracy_score\n",
    "acc=accuracy_score(ytest,ypred)\n",
    "print(\"Accuracy is :\",acc)\n",
    "cm=confusion_matrix(ytest,ypred)\n",
    "print(cm)\n",
    "sns.heatmap(cm,annot=True)\n",
    "print(classification_report(ytest,ypred))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "True Positive 29\n",
      "False Positive 9\n",
      "False Negative 18\n",
      "True Negative 98\n"
     ]
    }
   ],
   "source": [
    "tn, fp, fn, tp=confusion_matrix(ytest,ypred).flatten()\n",
    "print(\"True Positive\",tp)\n",
    "print(\"False Positive\",fp)\n",
    "print(\"False Negative\",fn)\n",
    "print(\"True Negative\",tn)"
   ]
  },
  {
   "attachments": {
    "image.png": {
     "image/png": 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cXKz169dr4MCB6tixo3Jycj76DbgjR44oMzNTPXv21LBhw9SqVSt985vfVFZWlm7cuKHq6mrF43FVVVUpLy9PTz31lFq2bKk9e/ZYW1fAr2xu8tnYZHS70ZnMcxPdeE3kvzd3fC95eR6vygsvn5fsZnoYN9tNc7NmJt/zXr2Gbo7pdm7JPMftZ5WptWtsPCZeH5PPb258YfhcSL8ZAQDSGgUcIeEIBVxw0tCd/lsykj1/osdK5lzEfKwXcFdOqfrgOkX3rjKSW7tf0671yzVnzhx17NhRLVq0+Fg6deqkuXPnau/evaqtrZX0QQF34cIF7dq1S926dVOLFi30xhtv6ObNm6qsrNSOHTvUrl07tWzZUp07d1aLFi101113KSsrS/X19YrH45Kk+vp6FRUVqW3btrr33nuVm5trbV0Bv7KxwWdzc7HhORMdR7Ibo8091sSGdKrW0stzeFVeJPs8t6/rnR4Ttg1200ysnds1b+78Jl5Pk3NM5nzJjs/Ne8aL18Xk8RseI1lOPxPS+fMh/WYEAEhrFHCEhCMUcMGJV0ydP5Hn2V7DMMd+AVeq6gNrFd3zqpFU7FmlE7mbtXXrVi1atEiTJk36WBYvXqzs7GyVlpaqrq7uo3Hcvn1bpaWlmjZtmtq3b6+xY8dq4cKFeuWVVzR58mQ98cQTat26tbp06aLf/e53+vznP6+srKy/mE9xcbHatGmj3/72t9q1a1cqlxIIhFRu8Plhc7HhOZsbh9sxp6IkSMVaen0Ok8dO9limygQvnhcmXpYTpouYpooeE8d2O8dkz+fF+BJdN7evaSLHtymZ69v2mL2QfjMCAKQ1CjhCwhEKuODEKybOn+hzbK9hmGO9gLtcqur9axXdvdJM9q9R7cVixWIx1dTUqLq6+mP58K+V/PCvn/xQPB5XJBLRtm3bNHHiRLVq1Uo///nP9atf/Up/+MMf9NRTT6lz587q2bOn7r33Xp9pdBUAACAASURBVH3hC1+ggAOS4MUGX5A2FRsbj6kxJ/PcVD3HiVQe3+axEn2uieshyJItEbxKMuM2NfdE/8zpcU3MsannOT1fsuNz+9jGHu9mHLZ5eY0HRfrNCACQ1ijgCAlHKOCClcb48dy2xknuHH8UcGsUzV1hJNX7XlfdpZNJjSUWi6msrEy5ubl69dVXNW/ePC1cuFDTp0/XoEGDNHDgQGVkZOixxx7T1772NWVlZamiokI1NTWKx+OKRqPKz8/Xk08+qQceeIB/Aw5owNQGX5A3Exsbl6kxJ3MME5vuptfYy9fO5LjdHivR55ooWYIqmfe7ydxpDMmM3cT8E1mfZI7r5v2cyHO9fG0SOYebdTCxRn6SbvNJVHrPDgCQdijgCAlHKOCClTvx47kbY3v9whz7BdxJVe97XdHc5UZSvW910gXchz78N90+/N9FRUWaOnWqMjMzNXPmTHXp0kU/+MEPlJWVpXPnzun27duqq6vTtWvXlJubq/bt26t169bav3+/2+UB0oqpzb4gb442NkaTY3ez+ezmPCbX3avX0fR43R4rkeebfI2CyKvyxuv3iIm1T+b6SORcpj8/k11vE6+b23mYvl7gT7xqAIBAoYAjJByhgAtWGrJ13qbO7eSxJHWxXsBdOqnqvasV3bXMSKr3rlLdpZKkxvLhb7FVVlYqFospFovp9u3b2r59uzp37qwBAwZo06ZNmj17tlq3bq2MjAytX79eJ0+eVHV1tfLy8rRkyRL16tVLgwcPVkFBgeHVAoLNq9IjKBuiqRp3IucxtbHs1Ua1V2tkev29LlhMlzgmH5sqNt/rbq5p09dGU8dxU3S5nWci50jmsyjR8Xv1uWP62LCLVw4AECgUcISEIxRwwUpDts7rhO01Ix/EfgFXouo9qxTdudRIqve8prqLyRVwdXV1unjxooqLi1VeXq7y8nIVFBRo6dKleuihhzRw4EAVFxcrJydHY8aMUUZGhjIzM7V582adPn1aK1euVEZGhkaNGqWFCxeqrKzM8GoBwRb2TcxUbuY63bD2ctPa7fFMMnVcL9cv0T8zcfymHusXNsZk4lpO5evW1JgTfX96+d5IRTHmt+sW/sKVAQAIFAo4QsIRCrhgpSFb502U7fUif471Au5iiap3v6bojleMpHr3q6q7mNx8qqqqtGbNGg0dOlSDBw/WgAED1KdPHw0YMECjRo3SmjVrdPXqVZWVlWnHjh2aOnWqHn/8cXXu3Fl9+vRRhw4d1LVrVy1ZskSHDh3SzZs3Da8WEFxskqb+N/dsbFqbLC38fK14XS7c6b+bHG+yj0l3Jt8jJt8Hbp6bLkVVus0HqcUVAgAIFAq49EjDH1htj8fN+G2PJV1DAResNGTrvM2xvU7kL2O/gCtWNHelojkvm0nuStVdSG4+t2/f1vz589WmTRs99NBDeuCBB9SyZUv16dNH69evV0lJiaqrq1VdXa2bN29q1apVateunR555BHdd999at26tQYNGqSdO3eqoqJCsVjM8GoBwcVmqbf/ZlqqzttcSRTWAs708UyvQyLHC8K6e8WLdU/2OKbfp2F8PYGGeAcAAAKFAi49kk4FXBDHH4RQwAUrDdk8t40xkORjvYC7cELRXcsV2b7YSKI7l6nuwomkxlJbW6uSkhLt2LFD27dv17Zt27R9+3YdOHBA586d0+3bt1VfX6/6+nrV1taqrKxMubm5ysnJUXZ2tnbs2KG8vDxduXJFsVhM8Xjc8GoBwcVmsL0CzqREf7sm2bkFeW3cSMVv93j5ugVNqtbAyTHD+loAqcA7CQAQKBRw6ZE7/XBve0xuxm97POkYCrhgpaGwnJu4j+0CLnbhhKI7lyqybaGRRHe8otj5ImvzAYDGpMMGO+WNd1KxnhRwH0jl3Js7R5hfByBVeDcBAAKFAs5fcVNEBb3ECvLYgxAKOP/HBC/GYXtdiLPYL+CKFN3xiiLZ840kumOJYucLrc0HABqTDpvs6TCHsAt7+Sal9q9odPKbh2F6DYBU4l0FAAgUCjh/pLEf1t0cp6njJhpba2D79UjHUMD5PyZ4MQ7b60KcxXoBd75I0feWKLL1RSOJvvcyBRwAX2KzHQgnijfALt5dAIBAoYCzH7clmZextQ62X5N0DAWc/2OCF+OwvS7EWewXcIWK5rysyJZ5RhLNeUmx8uPW5gMAjWHDHQCfA0Dq8S4DAAQKBZz92C7ZTBZwyT7fZvEXllDABSsNheXcxH38UcC9pMiWuUYS3b6YAg6AL7HxDgBA6vFtCwAIFAo4+/FTgebV2J0cx/brka6hgAtWGrJ1btvrQJzHegFXflzR7YsVeXeOkUS3L6KAA+BLFHAAAKQe37YAgEChgLMfP/wGmhdjdzIWCjjvQwEXrDRk69y214E4jy8KuG2LFNk820ii2xYqVl5gbT4A0BgKOAAAUo9vWwBAoFDApV/8WsA1NR4KOO9DAResNGTr3LbXgTiPLwq47IWKbJplJNHshYqdo4AD4D8UcAAApB7ftgCAQKGAS7/4oYBr6s9tjzmsoYALVhqydW7b60Ccx3oBd65A0ewFirwz00iiWxcodu6YtfkAQGMo4AAASD2+bQEAgUIBl37xUwF3p8fYHnNYQwEXrDRk69y214E4jy8KuK3zFXlnhpFEt75IAQfAlyjgAABIPb5tAQCBQgGXfrFdwCXyOJtjDmso4IKXhmyc1/YaEOexXsCdPabou/MUeWu6kUTfnavY2aPW5gMAjaF8AwAg9fjGBQAECgVc+iUIBVxTvyVne/3SNRRwwUtDNs5rew2I89gv4I4qummOIhunGkl00xzFyo5Ymw8ANIYCDgCA1OMbFwAQKBRw6Rc/FnDNPZYCzvtQwAUvDdk4r+01IM5jvYArO6roptmKbJhiJNFNsyngAPgSBRwAAKnHNy4AIFAo4NIvfi3g7vR4G2MOayjggpeGbI+HBCP2C7gjir4zS5ENzxtJ9J1ZipXlW5sPADSG8g0AgNTjWxcAECgUcOkXPxdwd3pOqscc1lDAERKO+KKAe3umIusnG0n07ZmKnaGAA+A/FHAAAKQe37oAgEChgEu/BK2Ac/p8klwo4AgJR6wXcGeOKPr2DEXWTTKS6FszKOAAAAAASKKAAwAEDAVc+sVmAZfs8yjgvA8FHCHhiP0CLl/Rt15Q5I0JRhJ96wXFzhy2Nh8AAAAA/kEBBwAIFAq49EsQCrg7PZcCzttQwBESjviigHtzuiJrxxtJ9M3pip2mgAMAAABAAQcACBgKuPSKjTLLVAFne+3SPRRwhIQj1gu404cV3ThNkTXjjCS6cZpipw9Zmw8AAAAA/6CAAwAECgVceiVIBRxJbSjgCAlH/FHATVVkzVgjiW6YSgEHAAAAQBIFHAAgYCjg0is2yjAKuGCEAo6QcMR+AXdI0Q1TFHl9jJFEN0xR7FSetfkAAAAA8A8KOABAoFDApVco4EhjoYAjJByxXsCdOqTousmKrMoykui6yRRwAAAAACRRwAEAAoYCjpBwhAKOkHDEegFXmqfoGxMVeXWUkUTXTlSs9KC1+QAAAADwDwo4AECgUMAREo5QwBESjviigFs7UZGVGUYSXTuBAg4AAACAJAo4AEDAUMAREo5QwBESjtgv4A4qumaCuQJuzQTFTh6wNh8AAAAA/kEBBwAIFAo4QsIRCjhCwhFfFHCvj1dkxUgjib4+ngIOAAAAgCQKOABAwFDAERKOUMAREo5YL+BOHlR09ThFlo8wkujqcYqVUMABAAAAoIADAAQMBRwh4QgFHCHhiP0C7oCiq8Yqsmy4kURXjVWsZL+1+QAAAADwDwo4AECgUMAREo5QwBESjlgv4EoOKLpqjCJLhxlJ9LUxSRdw8XhcFRUVunLlisrKylRSUqKSkhKdOnVKZ8+e1fvvv69YLKb6+nrV1dXp+vXrOn36tEpLSz96XHl5uSoqKlRfX694PG54tQAAAAA4QQEHAAgUCjhCwhEKOELCEfsF3H5FXxutyCtDjST62mjFivclNZaamhodOnRIy5cvV0ZGhrp06aKuXbuqX79+Gj16tNatW6f3339fkUhEFRUV2rRpk4YNG6ZevXrpueeeU79+/TR16lTl5eUpEomorq7O8GoBAAAAcIICDgAQKBRwhIQjFHCEhCO+KOBezVJkyWAjib6alVQB9+FvtK1YsUK9evVS+/bt1aZNGz3++ONq27atWrdurfHjx+vIkSMqKSnRkSNHNHPmTD3yyCNq1aqVHnvsMT366KPq1KmTVq1apZMnT6qystKDFQMAAACQKAo4AECgUMAREo5QwBESjlgv4Ir3KboyU5GXBxlJdMUoxU7sdTyOyspKlZaWasSIEXrwwQc1b9487dmzRwcOHNDq1avVrVs3DRw4UK+++qqWLVumGTNmaMyYMRo8eLCWL1+unTt3as6cORo6dKgmTpyo1157TefPn/dgxQAAAAAkigIOABAoFHCEhCMUcISEI74o4JaPUmTxACOJLs9IqoC7efOmCgoK1LVrV/3iF7/Q2rVrFYlEFIvFdPDgQfXp00e9evXSwoULNX78eLVr104jR47UsmXLdPz4cUWjUeXm5mrevHnq27evMjMzVVRU5MGKAQAAAEgUBRwAIFAo4AgJRyjgCAlHrBdwJ/YqujxDkUX9jSS6bKRiRXscj+PmzZs6duyYunTpov/4j//QqlWrdOvWLVVXV2vfvn3q3r27evfurZUrV2rkyJH62c9+pszMTBUWFuratWuKxWK6cOGCtm7dqo4dO6pdu3bKy8vzYMUAAAAAJIoCDgAQKBRwhIQjFHCEhCO+KOCWjVRkYT8jqVwyVOffW6djx45p+/bt2rhx48eSk5OjgoICXb58WfX19R+NIxKJqKysTOPGjdPDDz+skSNHauHChXrllVc0ZcoUPf300xoxYoR27NihcePG6Tvf+Y6ysrJ048YNVVdXKx6Pq6qqSnl5eXrqqafUsmVL7dnjvAgEAAAAYA4FHAAgUCjgCAlHKOAICUesF3BFexRdOkKRBX2N5ObCgdr58jTNmTNHHTt2VIsWLT6WTp06ae7cudq7d69qa2v//PNNPK6Kigpt2LBBAwYM0D333KNvfetb+t73vqef/vSnatmypaZPn67z589r7ty5uvvuu5WVlaX6+nrF43FJUn19vYqKitS2bVvde++9ys3NtbWsAAAAAEQBBwAIGAo4QsIRCjhCwhFfFHCvDFdkQR8jqVg0SCfeXKqtW7dq0aJFmjRp0seyePFiZWdnq7S0VHV1dX8eRyyma9eu6ZVXXlH37t3VrVs39ejRQ/3791ePHj30+OOPKysrS3v27FFWVpa+9KUvKSsr6y/mU1xcrDZt2ui3v/2tdu3alcqlBAAAANAABRwAIFAo4AgJRyjgCAlHfFHALRmmyPzeZrJkqGoKdioWi6mmpkbV1dUfS01NjWKx2Mf++knpz38F5dixY9W2bVutXbtWFy5c0PXr17Vz5051795dPXr00IIFC9SpUyfdddddFHAAAACAz1HAAQAChQKOkHCEAo6QcMR+AbdbkZeHqurFXkYSeXmoYoXO/urHeDyuc+fO6b333tOoUaPUpUsXbd++XZFIRLW1tSosLNS0adM0fPhwjR49Wn/605/09a9/XVlZWaqoqFBNTY3i8bii0ajy8/P15JNP6oEHHuDfgAMAAAAso4ADAAQKBRwh4QgFHCHhiPUCrvD/FnDzehlJ5KUhih13XsDl5+dr2bJlGj58uAYNGqQDBw589Ofl5eV64403NHnyZPXu3VsPPvigvv/97ysrK0vnzp3T7du3VVdXp2vXrik3N1ft27dX69attX//ftPLBQAAAMABCjgAQKBQwBESjlDAERKO+KKAe2mIqub2NJLI4sFJFXDFxcVav369evfurSeeeELbtm1TbW2t6uvrdeLECc2YMUPDhw9XRkaGunfvrkceeUQZGRlav369Tp48qerqauXl5WnJkiXq1auXBg8erIKCAo9WDQAAAEAiKOAAAIFCAUdIOEIBR0g4Yr2AO56ryKJBqprTw0giiwYpVuDs316Lx+MqLy9XTk6OevToofvvv18rV67U2bNndeHCBb333nsaOHCg+vXrp1mzZmn69OnKzMxURkaGMjMztXnzZp0+fVorV65URkaGRo0apYULF6qsrMyjVQMAAACQCAo4AECgUMAREo5QwBESjviigFs4UFWzuhlJZOEAxQp2Oh5HZWWlzpw5o1mzZql9+/bq1q2b+vXrp4EDB6p3795q3769xo4dq127dmn//v3KycnR1KlT9fjjj6tz587q06ePOnTooK5du2rJkiU6dOiQbt686cGKAQAAAEgUBRwAIFAo4AgJRyjgCAlHrBdwBbsUWTBAVTO7Gklkfn/Fjjkv4CQpGo1q69atmjBhgtq3b6/7779fDzzwgNq0aaNevXpp2bJlunLliqqqqnTz5k2tWrVK7dq10yOPPKL77rtPrVu31qBBg7Rz505VVFQoFosZXi0AAAAATlDAAQAChQKOkHCEAo6QcMQXBdz8/qqa0cVIIi/2U+zYjqTGUldXp4sXL+rYsWPKzc1Vdna2tm3bph07dmj//v06deqUotGoYrGYampqVFZWptzcXOXk5Cg7O1s7duxQXl6erly5olgspng8bni1AAAAADhBAQcACBQKOELCEQo4QsIR6wXcsZ2KvNhPVS90NpLIvL6KHU2ugAMAAACQXijgAACBQgFHSDhCAUdIOOKLAm5eX1VN62Qkkbl9KOAAAAAASKKAAwAEDAVceqXyQpHOF+1X4f5t2pe9Ubs2r9WuTWt1aMc7Onloh66WHv7gcecLdbX0sAr3bdOeLeu0+911yn33De1+d53yd23W+aL9unWuQNWXT1qfEzETCrhw5fNf/J6+/Z2f6d9+cq9+/ZuH9evfPKz//OWD+ucf/kp3//2/6q/+xzesj5F4E18UcHP7GCzgeit29D1r8wEAAADgHxRwAIBAoYBLr1wtPayct1brxRcmqX/PLurU/kl1av+ksoYN0MrFs5W/a5Nqr5bqUvFB5e/cpHnTJqhn5w7q1qm9unZsr26dntGEzGHKeWu1yo7tUdXFE9bnRMyEAi5c+Zd//Y2ebtdDk5+frTfWva1169/R0mWrNWjwaP3+vjb60pf/2foYiTexXsAd3aHInD6qmtrRSCJzeit2hAIOAAAAAAUcACBgKODSI9WXS3TrXIEK92VrwYzJGjWkv8aOHKTxo4Zo/KihGpcxRGNHDtLbq1/R9TNHtWfrei2dP0OTx4zQ8AG9NS5jsMaPGqrhA3tr9PCBmv/CJOW8tVo3yo5ZnxsxEwq4cOSzn/u6/uYL39XDj7TXzFmLNHXaPE2cNFMTJn6QSZNnq1fv4frnH96jz/31P+iTn77b+piJ2fijgOutqikdjCQyuxcFHAAAAABJFHAAgIChgEuPRC6eUHnhPmVveFUDenXVoD7dtXPTGp09tkflx/dp3YpF6tapvRbOel6n8nfqpTlT1atrR82eMlab1y5T4b5tKj28U9s2vqYFMyerX8/Omjd9gi4V51mfGzETCrhw5PNf/J6++7//Q4OGjNbOXfvUtdsgff2b/6avfu1H+j8//p3Gjp2uGTMW6rf3ttKX7/6hPvPZr1kfMzEbXxRws3up6vlnjSQyq6diR3KszQcAAACAf1DAAQCSEovFdPv2bZ07d075+fnavXu3cnJytH37dm3fvl25ubk6ePCgTp8+rRs3bqimpsbIeSng0iMV5wtVtH+b1q1cpCH9emjsyMEq3LdNkYsnFL1Uoh3vrNHwAb01Z+o4ZW94VZNGD1fH9k9o1vNjlfPWap0v3Kf3T+Vrz5b1emnOVPXt0Vlzpo3XpeKD1udGzIQCLhz56tf+Vf/5ywc1bMR4vfX2Vj32p476zGf/Xp/6zFf191/7kXr3GaHnp8zRk091149/cq/+3//1betjJmZjvYA78p4is3qqavKzRhKZ2UOxfAo4AAAAABRwAIAkRSIRlZWVKScnR3PnzlVmZqb69eunvn37qm/fvsrIyNC0adP0zjvv6OTJk7p165aR81LApUdunS3Qge1vauXi2RqXMUTzpk/UmSO5H/35oR3vaM6UcZr1/Bi9+MJEDe3fUx3bP6HpE7O0Zd0KnS3Yq6ulh7XjnTVaNHuKhg3opcVzpuhyySHrcyNmQgEXjnznuz/XHx9up8FDxujF+a+oxe9bf/Rnf/t331ebtp01fMQEDRyUpYcfaa+7vvRP1sdMzMYXBdzMnqqa9IyRRGZQwAEAAAD4AAUcAMCRqqoqFRQUaOPGjZo+fbpGjx6tcePGafz48X+RcePGacyYMZo4caJWr16tvLw8Xb9+3dX5KeDSIxXlhSrct03rVizSkH49NXbkYBXs2aqK84WqunhCOW+t1rD+vTRyUB9NHjNCM58fo3nTJ2jsyMEaPrC3pk0YpZmTxyhjcF+NHj5Qi2ZP0c5Na3TzLP8GXLqEAi4c+erXfqRf/Kqlho+YoLfe3qo/tX1On/vrb+q//9XX9fVv/lh9+2VowYJlmvz8bD35dHf93Vd+YH3MxGysF3D5OYq80F1VE9oZSeSF7ood3m5tPgAAAAD8gwIOAODI5cuXtXLlSvXp00ctWrRQy5YtNWLECM2aNUtLly7V8uXLtXz5cs2dO1fjxo1TmzZt9Mtf/lLPPfecXnzxRZ08eTLhc9XX1ysWi6mmpkbV1dWqrq5WtPKmolfPqPpyifWCgCSfyMUTKj++T1vWrVDPLh3Up/tz2rX5DV08cUBXSw/rjeUL9HTbx9Tl2aeVMbivXl86X3uzN2jYgF769T2/1G9+/Uv95p5f6p5f/qe6dmyv7A2v6kLRfkUuFVufGzETCrhw5IN/A+7fNWLkRB3OL1D3nkP1la/+i+760j/ph//6a02dOk+bN2/X4sUr9VznAfrKV//F+piJ2Vgv4A7nKDK9m6rGP20kkWldKeAAAAAASKKAAwA4dObMGWVlZenZZ5/VtGnTtHbtWu3atUuHDx/W8ePHVVhYqMLCQuXn52vv3r3asGGD5s6dq27duqlnz546ePBgQuepq6tTaWmpsrOztXjxYk2aNEmTJk3Si3Nm6q3Xl+rY7nd1u/y49ZKAJJfqyyW6efaYCvZu1YsvTFTmsAGaMjZDs54fqxenT9S4jCHq8dyz6t+zizKH9tes58fqlfkvaNr4URqXMVgLZkzSS3OmakLmMI0ZMUgvTMzSpjVLdf3MUetzI2ZCAReOfPZz39AX7vqeHm31rGbPeUnjJ87UsP/7V04OGz5e8xcs1fIVazR37svq9Fx/Crg0jP0CbruqpnVV5binjKRqahfFDm2zNh8AAAAA/kEBBwBw5MSJE+rQoYNat26tvXv3qra2VvF4vNHH19bW6tSpU+rRo4fuv/9+5eQk9u+i1NbWau/evZo7d646deqkFi1aqEWLFnrq8TaaMnakstev0PXTR6yXBMRdPvx33F58YZJ6de2oZ55qq+eeeUq9u3XS0P69NGpIf40dOVgjB/XR8IG99fLcadq1aa0uFO3XtdP52pe9UYtnT1G3Tu01fUKmLp44YH1OxEwo4MKVH/zwHj3xZFdNnTZP72zK1voNm7Rq1XotWrRCM2ct0tSp8/TMs3305bt/aH2sxGx8UcBN7aLKsU8aSdWUzhRwAAAAACRRwAEAHDpx4oQ6duyoVq1aKTs7Wzdv3lRdXd0dHxuPx3X79m0dOXJEXbp00R/+8Ae99957CZ2nvr5ely9fVkFBgXJycrRx40Zt3LhRWze9pbyd76rs2G5VXThhvSQg7lJ5vkjlx/fp6O539d7bq7Vl/Uplb3hNKxbN1vhRQ/X82JGaPWWcenXpqD+1ekgrFs5S+fF9un3uuCovFOlC0QFtePUlPd32MY0a0k/lx/dZnxMxEwq4cOWLd/1vffd7/67/+MUD+sMDT+i++9vqkUef1aAhYzR+wkwNHzFRrR7roL/9u+9bHysxG+sF3KHtqprSWZVjnjCSquc7K5a3zdp8AAAAAPgHBRwAwJHS0lINHDhQTz75pJYuXap9+/appKREZ8+e1fnz5z/KuXPndPr0aeXl5WndunXq1q2b2rdvr71797o6f7w2otiNcuvlADGTmisnVX25RNWXS1Rz5aRqrpxU5GKxcje/obEjB2vW82O1Zul8dX/uGf3mnl9q+cJZunXuuKKXilV9uUS3y49ry/oVatPqIQ3p20NnC/ZYnxMxEwq4cOWTn75bn/rMV/XJT39F/+2TX9anPvNV/f3X/4+6dB2ocRNmqHPXgfr1bx7W33zhu9bHSszGFwXc851VOfoJI6ma/JxiednW5gMAAADAPyjgAACOXL16Va+//royMjLUqVMnderUSUOGDNG4ceM0ffp0zZgxQzNmzNCECRM0fPhwdenSRe3atdPQoUP18ssv69SpU67OTwGXXoleLtHNswW6ebZA0cslqjxfpKsnD+uNZQv17FNtNXPyGB3bs1VjRgzS/b+/Vy++MFEnDubo+pkjun3uuEoP79DqJfPU7ok/afSIgSov5Dfg0iUUcOHKZz/3Df2vz/+j/vtffV2f/PTd+p9/82396N9+q8nPz9bCxSvU8o9P6xv/8GN99nPfsD5WYjb2C7htqpr8nCqzHjeSqsmdKOAAAAAASKKAAwA4VFVVpaKiIq1evVo9e/ZU27Zt9cwzz6hbt27q16+fBgwYoP79+6t79+569tln9fjjj+uZZ57RSy+9pCNHjujGjRuuzk8Bl165WXZMR3dv0Z6t65X33tval71R299cpRenT1TnZ5/WsgUzdP3MUS1bMENdOrbTlHEZWrNsgXZuWqu9W9drw6uLNXfaeA3u212LZj2vyyV51udEzIQCLlz5xj/8WL+654/62b/fp5/89Pe65zcPq83jnT/499+mzdNPfvp7oH1zvQAAIABJREFUfe6vv6lPfvpu62MlZmO9gMvbpqrJnVSZ1dZIqiZ1VOwgBRwAAAAACjgAgEN1dXWqqKjQ+fPndeTIEW3fvl1r1qzR0qVLtXDhQs2fP1/z58/XkiVLtGrVKm3ZskUHDx5UWVmZbt26pdraWlfnp4BLr5w5ulsLZkzWwD7d1LfHc+rdraN6dumgMSMGacm8adq/faMiF4t1MOctLVswQ6OHD1T3555Rn+6d1LdHZ/Xs0kEZQ/pp6fwZ2rdto26dK7A+J2ImFHDhygMPPqn5C5bqpZdXaumy17V8xRotXLRcQ4eN0x8faqevfu1H+tRn7tb/86mvWB8rMRtfFHCTOqpyVBsjqZrYUbGDW63NBwAAAIB/UMABAJIWj8d1+/ZtnTp1Svn5+dq9e7d27dqlnTt3Ki8vT8XFxbp27Zrq6+sVj8fNnJMCLq1y7vherVg4S2NHDlbGkL4aMbiPMob005J505X33ls6X7RftVdLdfHEAeXv3KSl82coa9gAjRraX6OG9tfoEQO1cNbz2r/9TV04cUCRS8XW50TMhAIuXPnt71pp4sSZmjb9Rc2es1gzZy1S1uiperDlU/rH7/5cf/0/v2V9jMSbWC/gDmarakIHVWb8yUiqJnRQ7AAFHAAAAAAKOACAS3V1dYpGo6qsrNStW7c+SkVFhSKRiGKxmNHzUcClV6ouFOlC0QGdyt+l0sM7dfLwDpUe3qnzhft1o+yYqi6c+OBxF0/o5tljOl+0X6WHd36UU/m7VH58n26UHVXVxROquXLS+pyImVDAhSuf/+J39Q/f/v/07X/8mb7z3Z/rO9/9ub75rZ/oi3/7T/rc//imPvUZ/urJdI31Au5AtqrGPavKEa2NpGrcM4rt32JtPgAAAAD8gwIOABAoFHCEhCMUcISEI/YLuK2qGvuMKoe3MpKqse1FAQcAAABAooADAAQMBRwh4QgFHCHhiD8KuPaqHPaokVSNaafY/netzQcAAACAf1DAAQAChQKOkHCEAo6QcMR6Abd/i6rGtFPl0EeNpGp0O8X2UcABAAAAoIADAAQMBRwh4QgFHCHhiC8KuNHtVDnkESOpynqaAg4AAACAJAo4AEDAUMAREo5QwBESjvihgKvMeloVgx82ksrMp1S7b7O1+QAAAADwDwo4AECgUMAREo5QwBESjtgu4Gr3vavKzKdUMeghI6kc9aRq91LAAQAAAKCAAwAEDAUcIeEIBRwh4YgvCrhRT6pi4B+NpDKDAg4AAADAByjgAACBQgFHSDhCAUdIOGK9gNv7rioznlTFgD8aSeXIJ1S7hwIOAAAAAAUcACBgKOAICUco4AgJR3xRwI18QhX9WxpJ5YgnVLtnk7X5AAAAAPAPCjgAQKBQwBESjlDAERKO2C/gNqtyxBOq6PugkVQOf1y1uyngAAAAAFDAAQAChgKOkHCEAo6QcMR6AbdnsyqHtVVFnweMpHJYG9XufsfafAAAAAD4BwUcACBQKOAICUco4AgJR6wXcLs3qXJoG1X0/oORVA79k2pznRdwtbW1qqio0KlTp5SXl/exHDhwQHv27FF+fr7Kysp0/fp11dbW6tKlSzp69KgOHTqkAwcO6PDhwzpx4oRu3Lihuro6xeNxD1YMAAAAQKIo4AAAgUIBR0g4QgFHSDjihwKuYkgb3e55v5FUDEmugLtx44YKCwv1wgsv6Omnn/5YWrdurfvuu0+dO///7N3pW1X14v//z5/w/X2/n1OnrGhUUxNPdUrtZGVpdXJWZBZEBsV5KjVFBcUpFecph0TFkMwRNafQQEUQnAWncB4RcABks1+/G3Y8alYMC9derOfjup53crPXWm/PjXPt17WlmxYsWKBdu3YpNzdXa9euVe/evRUUFCQfHx+FhYVp1KhRSk1N1e3bt+VwOKrgxAAAAACUFQMcAMBSGOCI7BEDHJE9cokBbrC3Cnq1MKSbg710N7n8A1xeXp6ys7M1b9489erVS7169VLPnj3Vs2dPtW/fXi+99JKaNWummTNnav369dq1a5emTp0qLy8vBQYGKiQkRP7+/goPD1dcXJyOHDmigoKCKjgxAAAAAGXFAAcAsBQGOCJ7xABHZI9MH+BSNunmIG8V9PzCkG4O8tLd5A3lvo+SkhLduXNHFy9e1IkTJ+6XnZ2txYsXq1GjRvLy8tKWLVu0bt06TZw4UVFRUYqIiNCqVat04MABLVq0SBEREYqOjtaSJUt09uzZKjgxAAAAAGXFAAcAsBQGOCJ7xABHZI/MH+A26uZXXiro8W9DuvmVZ4UGuMcpLi7WlStXtHLlSn366acKDw/XoUOHtHLlSgUEBGjEiBFKSEhQVlaWCgsLlZqaqvnz56tfv36KiIjQ0aNHDbkPAAAAABXDAAcAsBQGOCJ7xABHZI9MH+CSN+rml54q6P65Id38sqPu/mLMAJefn6/MzEzNmTNHbdq00dChQ3X+/HktW7ZMDRs2VGRkpE6ePKm8vDw5HA5dvnxZSUlJCg4Olr+/v9LS0gy5DwAAAAAVwwAHALAUBjgie8QAR2SPXGKAG9hRBeGfG1Je33Y6/f23Sk9P1/r16xUXF/dQiYmJSk9P1/nz5+VwOP703i5duqSVK1dq9OjRCg8P1+zZs3Xt2jUtWrRItWrVUlRUlPLz81VcXCyn06k7d+4oMzNTnTp1UuvWrbV79+4ndIoAAAAAHocBDgBgKQxwRPaIAY7IHpk+wP2yUTcHdFRBt88M6VrPVto+9mtNnjxZPj4+aty48UP5+fkpJiZGycnJKi4u/tN7O3XqlCZMmKA+ffpo7Nix2rBhgwoKCjRv3jzVqFFDUVFRcjqd91/vdDqVlZUlHx8fNW/eXMnJyVV9fAAAAAD+BAMcAMBSGOCI7BEDHJE9Mn+A26Cb/T1U0PVTQ7rRu62OL5ml5ORkxcfHa86cOQ8VHx+vlJQU5eTk/Ok34EpLS3XgwAF1795dAQEBWrp0qQ4fPqzCwkLNmzdPzz77rKKion73c9nZ2fLx8VGzZs0Y4AAAAACTMcABACyFAY7IHjHAEdkjlxjg+nmoIOxTQ7rZr4Pu7kis1D05nU4VFxcrJSVFLVu2VJs2bbRjxw7l5+fL4XDwDTgAAADAIhjgAACWwgBHZI8Y4IjskekD3M4NKujbQfkhzQ2poE973d2xvlL3VFRUpNOnT+uHH36Qp6enwsLCtH///vu/643fAQcAAABYAwMcAMBSGOCI7BEDHJE9Mn2A25Gogt7tlR/czJAKerdTcVLlBriCggLt3LlT06dPV3BwsEaMGKHTp0/f//Ply5erYcOGioyM1MmTJ5WXlyeHw6HLly8rKSlJwcHB8vf3V1paWiVPBwAAAEBlMMABACyFAY7IHjHAEdkjlxjgerVTfpdPDKmgV9tKD3BXr15VbGysBg8erKFDh2rx4sW6ePHi/T/ftGmTAgICNHz4cCUkJCgrK0uFhYVKTU3V/Pnz1bdvXw0bNkxHjx6t7PEAAAAAqAQGOACApTDAEdkjBjgie2T2AFe8I1EFPdspP+gTQyro2VbFP6+r8P04nU6dPXtWo0aNUmBgoKZPn66dO3cqLy/v/mvS09M1adIkRUZGatiwYVq1apUOHDighQsXKiIiQqNHj1ZsbKzOnDljxBEBAAAAqCAGOACApTDAEdkjBjgie2T6AJeUqPwebZXX+WNDyu/RpsIDnNPpVElJibKyshQeHq6WLVtqxYoVOnPmjIqKiu6/7tKlS0pNTdWUKVPk6empgIAAhYSEyM/PT926ddOyZct0+PBhFRQUGHVMAAAAACqAAQ4AYCkMcET2iAGOyB6ZP8CtV373tsoL/NiQ8ru3UfH2ig9wd+/e1alTpzRy5Ej16tVLe/bsUWFhoUpLS/97z8XFys/P1+rVq9WrVy8FBQXJ29tboaGhioqK0p49e3Tr1i05HA6jjgkAAABABTDAAQAshQGOyB4xwBHZI9MHuJ/XKz+8jfI6NTWk/PCKD3DSvRHu9u3bOnbsmA4ePKjc3Fw5HA45nc77ryktLVVJSYkuXryogwcPKiMjQ2lpacrMzFRWVtZjfwYAAADAk8cABwCwFAY4InvEAEdkj1xigOvWRnn+TQ0pv1vrSg1wAAAAAKoPBjgAgKUwwBHZIwY4Intk+gC3fb3yu7ZRnl9TQ8rv2lrF2xjgAAAAADDAAQAshgGOyB4xwBHZI5cY4MJaK8/3I0PKD22t4q1rTXseAAAAAK6DAQ4AYCkMcET2iAGOyB6ZPsBtW6e8kFa64fWhIeUFt2KAAwAAACCJAQ4AYDEMcET2iAGOyB6ZPsBtXae84Fa64fmhIeV1aaniLQxwAAAAABjgAAAWwwBHZI8Y4IjskUsMcF1a6UbHDw0pL4gBDgAAAMA9DHAAbO9//ud/7gfXxwBHZI8Y4IjskUsMcEGtlOvxgSHldW6pos0McAAAAAAY4ACAAc5iGOCI7BEDHJE9MnuAK9qyTjc6t1Ruhw8M6UZgCwY4AAAAAJIY4ADY3IPjGwOcNTDAEdkjBjgie+QSA1xgS+W2/8CQbgS0UNFPDHAAAAAAGOAA2BwDnPUwwBHZIwY4Intk+gC3eZ1uBLRUbrsPDOlGpxYq+mmNac8DAAAAwHXwaTMAW2N8sx4GOCJ7xABHZI9cYoDr1FLX2zYxpBv+DHAAAAAA7uETZwC2xgBnPQxwRPaIAY7IHrnCAJfr30LX2zQxpFy/FiraxAAHAAAAgAEOgM3ZaYCrLs/KAEdkjxjgiOyR6QPcT+uU69dC11s3MaRcXwY4AAAAAPdY+1NYAKik6jJKlUV1eVYGOCJ7xABHZI9MH+A2rVOuTwtdb9nEkHJ9WqhoIwMcAAAAAAY4ADZXXUapsqguz8oAR2SPGOCI7JFLDHBeLXTtiyaGlOvVQkUbGOAAAAAAMMABsLnqMkqVRXV5VgY4InvEAEdkj8we4Ao3rtN1zxa69nkTQ7resYUKGeAAAAAAiAEOgM1Vl1GqLKrLszLAEdkjBjgie+QSA1zHFrr6WRNDuu7RQoWJDHAAAAAAGOAA2Fx1GaXKoro8KwMckT1igCOyR6YPcBvW6ZpHC139tIkhXevAAAcAAADgHmt/CgsAlVRdRqmyqC7PygBHZI8Y4IjskUsMcB1a6GrzJoZ0rX0LFa5ngAMAAADAAAfA5qrLKFUW1eVZGeCI7BEDHJE9Mn2AS1yna+1b6GqzJoZ0rR0DHAAAAIB7rP0pLABUUnUZpcqiujwrAxyRPWKAI7JHLjHAtWuhK580MaRrbRngAAAAANxj7U9hAaCSqssoVRbV5VkZ4IjsEQMckT1yhQHuatsWuvxxE0O62qaF7qxjgAMAAADAAAcA1WaY+ivV5TkZ4IjsEQMckT0ye4C7s36drrZpoctNmxjS1dYMcAAAAADusfansACq3IOjjdWHmz9i1ecr731b9TkfxQBHZI8Y4IjskSsMcFdatdSlDz8wpCutWujOWgY4AAAAAAxwAP7CowPcH2VlVnqOyvw9WOk5/wwDHJE9YoAjskemD3Dr1ulKy5a69MEHhnSlRQvdWbPWtOcBAAAA4Dqs/SksgCpX1gHOysOOFe7fiPOvDn9XEgMckV1igCOyR64wwF1u0VIXm3xgSJe/YIADAAAAcI91P4EF8ESUd4Cz4rhj1H1X1fMbce5W/zt6EAMckT1igCOyR6YPcGvX6fIXLXXx/Q8M6fK/W+o2AxwAAAAAMcABKIO/Gm+sPsIZcc9V9ezlPfuKvo+VMMAR2SMGOCJ7ZPYAd3vtOl36dytd+NeHhnTp85a6vZoBDgAAAAADHIAyqO4jj5kD3J/9TFnOs6L//KRV/m4ehwGOyB4xwBHZI9MHuDXrdOnzVrrw3oeGdOmzyg1wpaWlunPnjs6cOaNDhw4pIyNDaWlpSk9PV3Z2tq5fv67bt2/r7t27unTpkg4ePHj/NZmZmcrKytKNGzfkcDjkdDoNPCkAAAAA5WXdT2ABPDHlGW2sOPJU9n4rOm6VZ1z7o/dkgCOi6hoDHJE9coUB7uJnrXS+0YeGdPHTlrq9qmIDnNPpVGFhoXJycrR48WINGDBAQUFB8vHxkY+Pj0aPHq3k5GT9+uuvysvL09q1a9W7d+/7rwkLC9OoUaOUmpqq27dvy+FwGHxaAAAAAMrDup/AAnhiKjMsWUFlRqzKDFtG/9OS5b1vq2KAI7JHDHBE9sj8AW69Ln5q5ADXqsID3N27d5Wdna3ExERFR0erW7du6tq1q7p27aqwsDBNnDhRKSkp2rdvn/bs2aOpU6fKy8tLgYGBCgkJkb+/v8LDwxUXF6cjR46ooKDA4NMCAAAAUB7W/QQWwBNRFf+0YmXvoTLvXdYRraJV5l7+6M/K+h7lfV6rYoAjskcMcET2yPQBbvV6Xfi0tc41/MiQLjRvpVsVHOBu3bqlFStWaMiQIRozZowWLlyo3bt3KysrS0ePHtWJEyd04cIF/fzzz5o0aZKioqIUERGhVatW6cCBA1q0aJEiIiIUHR2tJUuW6OzZswafFgAAAIDysO4nsACeiKoYlyrzPkaPXlYd4Mp6bSPv11UwwBHZIwY4Intk9gB3a/V6XWjeWufe/ciQLjRrpVs/ln+Aczgcunbtmr755ht5e3trzpw5Sk9P140bN+R0OuVwOFRcXKw7d+5o7dq1CggI0IgRI5SQkKCsrCwVFhYqNTVV8+fPV79+/RQREaGjR49WwYkBAAAAKCtrfvoK4IkxcuiqzLVdZYD7q/erzL380Z+V9RnK8v4McERklRjgiOyRKwxw55u11tl3PjKk859UbIArKirSmTNnNHDgQDVr1kxr1qzRnTt3Hvo9bk6nU6WlpYqLi1PDhg0VGRmpkydPKi8vTw6HQ5cvX1ZSUpKCg4Pl7++vtLQ0I48KAAAAQDlZ89NXAE+E0QNaZX62vN8QK+t7V/b9jL6Pv/qzsgyEVXl2roABjsgeMcAR2SPTB7hV63XukzY688+PDCnnwxbKmn7v22vr169XXFzcQyUmJio9PV3nz59/aFy7ceOGDh06pL59+6pJkyaaMGGC1q9fr/j4eK1YsUIbNmzQ/v37dfPmTc2fP181a9ZUVFSU8vPzVVxcLKfTqTt37igzM1OdOnVS69attXv3btPOFQAAAAADHIA/YcS3pSry8+X9dpcRnvQAV95vrxn5zT0GOCKyQgxwRPbI7AHu5o/rdbZpG+W81dSQTrz3mTb2H6TJkyfLx8dHjRs3fig/Pz/FxMQoOTlZxcXF9/6/jdOpCxcu6JdfflHfvn313nvvycPDQ76+vvr444/VrFkzBQQEaO7cuTp37pxmzJihGjVqKCoqSk6n8/6zOJ1OZWVlycfHR82bN1dycrJZxwoAAABADHAA/kRFBrjKDEOVuW5lWXGAK+trjbpnV8EAR2SPGOCI7JFLDHAftdGvbzY1pNPvt9ChyTOUnJys+Ph4zZkz56Hi4+OVkpKinJyc+9+AczqdOnfunLZv367AwEDVr19fPXv21PTp0zVr1iyNHz9effv21ahRo/Tjjz+qb9++evrppxUVFfW758nOzpaPj4+aNWvGAAcAAACYzJqfvgJ4Ip7Et7T+6rpPipUGuLK8n1XHtbJggCOyRwxwRPbI/AEuUWc+bKtf//GxIZ35oI1u/rCuXPfgdDp19uxZbdmyRW3bttVLL72kCRMm6PDhwyooKNDRo0c1YcIEDRgwQIMHD1arVq30t7/9jW/AAQAAAC6u+n5CC6BSyvpPGDLAlf/nyvstteo+qJUXAxyRPWKAI7JHpg9wKxN15oO2Ot3gE0M606StChLKN8BJ0tWrV7V3714FBgbqzTffVGxsrK5du6bi4mKdO3dOP/74o8aOHauwsDB9/PHHcnNz43fAAQAAAC6OT3QBPFZVjmp/NSaZNTpVdkwr7+sfdyblOVO7YoAjskcMcET2yOwBrmBlonKatNNp908MKaeCA9zNmzeVnZ2t3r17q2nTplq/fr0cDoecTqeuXbum3bt3a8aMGfL19dVHH30kd3d3RUZG6uTJk8rLy5PD4dDly5eVlJSk4OBg+fv7Ky0trQpODAAAAEBZ8akugMeqzNhWlvc04nVGM+LbbOV9vdFnbAcMcET2iAGOyB6ZPsD9cG+AO1X/E0PKeb9iA9zdu3d18eJFDRs2TC1atFBCQsL9b8CdOXNGK1asUHR0tLp3766AgAB5eXlp+PDhSkhIUFZWlgoLC5Wamqr58+erb9++GjZsmI4ePVoFJwYAAACgrPhkF8DvVOUoVJb3sNIA9+jPlfUbgH/1jTfGtz/GAEdkjxjgiOyRKwxwv75v3AD367/aqiBhfcXupaBAs2bNUnBwsObNm6edO3fq0KFD2r59u8aNG6dhw4YpOjpaY8eO1dixYxUZGalhw4Zp1apVOnDggBYuXKiIiAiNHj1asbGxOnPmjMGnBQAAAKA8+HQXwO9U5RhkhwGurAPbn/08/hgDHJE9YoAjskcuMcD9q71OvtHMkH59r50KVlRsgCsqKlJKSormzp2rwYMHKzQ0VOHh4eratasCAwMVFRWlrVu3as+ePdq9e7emTJkiT09PBQQEKCQkRH5+furWrZuWLVumw4cPq6CgwODTAgAAAFAefMoL4Hee1ABX1m+LVfZaFbm3il6Lf1Ky6jHAEdkjBjgie2T6AJeQqNPvtdfJes0M6fR77ZRfwQHO4XDo0qVL2rNnj8aNG6egoCAFBAQoNDRU/fv3V2xsrM6dO6f8/Hzl5+dr9erV6tWrl4KCguTt7a3Q0FBFRUVpz549unXrlhwOh8GnBQAAAKA8+CQYwO9U9XBU3m/BGfGNNKPuq7zXZXwzHgMckT1igCOyR2YPcPkJG3T6vQ46Ube5IZ1u3L7CA5zT6VRRUZFyc3N1/PhxZWRkaN++fcrMzNShQ4d09uxZFRYWqqSkRCUlJbp48aIOHjyojIwMpaWlKTMzU1lZWcrNzZXD4ZDT6TT4tAAAAACUB58GA/gdVxzgynoPlbl3o56V0a1qMcAR2SMGOCJ75AoD3KnGHXS8TnNDOtWovfLjKzbAAQAAAKhe+GQYwO9U9YBU1vcu65hm1DfOGM2sgQGOyB4xwBHZI7MHuLwVG3SioYeyXv/UkE407KC8+ETTngcAAACA6+BTZgC/U9VDVGW+mVaVv2uNAc4aGOCI7BEDHJE9coUB7nhDD2XV/tSQjr/bQXnfM8ABAAAAYIAD8Ign8c8nVuT9q3J4q8x94cljgCOyRwxwRPbIJQa4dz10rNZnhnT8HQ/dYIADAAAAIAY4AI9w1QHucT9r9H0ywFkDAxyRPWKAI7JHpg9w8RuV/U5HHav5mSFl/5MBDgAAAMA9fMoM4CGuPsABDHBE9ogBjsgemT3A3YjfqOx/dtTR1z43pOy3O+rGcgY4AAAAAAxwAB7BAAdXxwBHZI8Y4IjskSsMcFn/9NSRVz83pCwGOAAAAAC/4dNvAA+pyn/Wsar+6UjYCwMckT1igCOyR6YPcN9vVNbbBg5wbzHAAQAAALiHT78BPIQBDq6OAY7IHjHAEdkjlxjg3vLU4Vf+bUjH3uyo3LgNpj0PAAAAANfBp98AHvIkBzigIhjgiOwRAxyRPTJ7gMv9fqOOvemlwy//25CO/cOTAQ4AAACAJAY4AI+oqoGM4Q1GYYAjskcMcET2yPQBbvkmHfmHtw6+9IUhHWngpdxlDHAAAAAAGOAAPIKhDK6OAY7IHjHAEdkjswe468s36XADbx14sYUhHW7grevLNpr2PAAAAABcB5+wA3gIAxxcHQMckT1igCOyR64ywO13a2FIh90Z4AAAAADcwyfsAO7jd7TBChjgiOwRAxyRPTJ9gIvbpEPuPoYNcIfcvXWNAQ4AAACAGOAAPIABDlbAAEdkjxjgiOyR2QPctbhNOujuo4wXWhrSwfreuraUAQ4AAAAAAxyABzDAwQoY4IjsEQMckT0yf4D7SQfqGzfAHajvwwAHAAAAQBIDHIAHML7BChjgiOwRAxyRPXKNAc5X+55vZUgH3mCAAwAAAHAPn7IDuI8BDlbAAEdkjxjgiOyRKwxw+98wboDb/4aPrjLAAQAAABADHIAHMMDBChjgiOwRAxyRPTJ9gFt2b4BLf66VIe2vxwAHAAAA4B4+ZQdwHwMcrOBCzlmtWRqvBZOmEVE1bmj4IL1f62PV+j//IKJqXDfvPjqRdcq0/19xddlPyqznp7TnWhlSZj1fXV2yybTnAQAAAOA6+JQdwH0McLCC3Tv3yuuLINV7rhERVePefe4DtXj+c7V/viURVePGBEXp7PGzpv3/iqvLflJGPT/trdHakDLq+uoKAxwAAAAAMcABACwmJSlV7Zr567X/fYuIqnFvPf2eWj73b3V8oTURVePGdRmtcyYOcFeWbVZ6XX/tebaNIaXX8WOAAwAAACCJAQ4AYDEMcET2iAGOyB6ZPcBdXrpZaXU6afczbQ0p7XV/XY79ybTnAQAAAOA6GOAAAJbCAEdkjxjgiOyRqwxwu55pa0h7GeAAAAAA/IYBDgBgKQxwRPaIAY7IHrnCALeXAQ4AAABAFWCAAwBYCgMckT1igCOyR64wwKW+3kkpf29nSKmvd9IlBjgAAAAAYoADAFgMAxyRPWKAI7JHZg9wl5Zu1p7XA5T893aGtKc2AxwAAACAexjgAACWwgBHZI8Y4IjskekD3JIt2lM7QL883d6QdtcOYIADAAAAIIkBDgBgMQxwRPaIAY7IHrnCALe7dqBxA1ytAF2s4ABXUlKi06dPa+/evUpPT9e+ffu0b98+ZWRkKCMjQ7/++quKi4tVWlqqkpISXbp0SQcPHlRGRobS0tKUmZmprKws3bhxQw6HQ06n0+DTAgAAAFAeDHAAAEthgCOyRwxwRPbI7AHu4pIt2lU7UDuebm9IuyoxwBUUFGjmzJny8PCQj4+POnXqpICAAHXu3FlBQUHb4wHdAAAgAElEQVSaO3eurl+/ruLiYhUUFGjt2rXq3bu3goKC5OPjo7CwMI0aNUqpqam6ffu2HA6HwacFAAAAoDwY4AAAlsIAR2SPGOCI7JErDHApBg5wKbUCdDF2c4Xu5fr16/ryyy/1+uuvq3Xr1goLC1OPHj3Uq1cv9enTR7GxscrNzdWlS5e0d+9eTZ06VV5eXgoMDFRISIj8/f0VHh6uuLg4HTlyRAUFBQafFgAAAIDyYIADAFgKAxyRPWKAI7JHrjHAdVbS0x0MKaVWoC5UcoBr1KiRpk+froyMDB07dkwnTpzQyZMndfnyZZWUlGjfvn2aPHmyoqKiFBERoVWrVunAgQNatGiRIiIiFB0drSVLlujsWfPOFQAAAAADHADAYhjgiOwRAxyRPTJ7gLuwZIt+qd1ZPz/dwZB+qRWoC4srN8C9//77io+P140bN3T37t3fvW7Tpk0KDAzUiBEjlJCQoKysLBUWFio1NVXz589Xv379FBERoaNHj1b2eAAAAABUAgMcAMBSGOCI7BEDHJE9MnuAO79kq3bUCtLWpzwMaUfNzjpfxQPc8uXL1bBhQ0VGRurkyZPKy8uTw+HQ5cuXlZSUpODgYPn7+ystLa2yxwMAAACgEhjgAACWwgBHZI8Y4IjskSsMcEkGDnBJlRjgcnNz9eWXX+rNN99U//79NX/+fMXGxmrt2rXau3evzpw5o7t372rRokWqVauWoqKilJ+fr+LiYjmdTt25c0eZmZnq1KmTWrdurd27dxt8WgAAAADKgwEOAGApDHBE9ogBjsgeucYA10VbnupoSEk1g3Ru8ZYK3ct/BrhXXnlFDRo0UMOGDdWoUSN5eHho/Pjx2r59u27evKl58+apRo0aioqKktPpvP/zTqdTWVlZ8vHxUfPmzZWcnGzUMQEAAACoAAY4AIClMMAR2SMGOCJ7ZPYAd27JVv1cq4s2P9XRkLa80knJUfOVnJys+Ph4zZkz56Hi4+OVkpKinJwcORyOh+7l9u3bWrt2raKjozVlyhTNnDlTMTExioyMVPfu3TV58mTt379f48aN0zPPPKOoqKjfPU92drZ8fHzUrFkzBjgAAADAZAxwAABLYYAjskcMcET2yBUGuO21uuinpzoa0kY3Xy0PG6HJkyfLx8dHjRs3fig/Pz/FxMQoOTlZxcXFD91LaWmp8vLydOXKFRUWFuru3bu6ceOGEhMT1b59e3Xp0kUrV67Ul19+qb///e98Aw4AAABwcQxwAABLYYAjskcMcET2yFUGuE1PeRrS5lcCtGfsd0pPT9f69esVFxf3UImJiUpPT9f58+d/9w04p9OpoqIi3b59WyUlJSotLVVRUZFSU1M1aNAgDRw4UHPnzlV4eLhefvllfgccAAAA4OIY4AAAlsIAR2SPGOCI7JErDHDbDBzgttXsorMV+B1wTqfzoR7878eOHVNMTIxGjBihiRMnKiwsTG+++aYiIyN18uRJ5eXlyeFw6PLly0pKSlJwcLD8/f2VlpZm5FEBAAAAKCcGOACApTDAEdkjBjgie2T2AHd2yVZtrdVFG5/yNKStFRzgSkpKVFRUpMLCQhUVFcnhcKi0tFR3795Vamqq+vbtqz59+mj+/PmKjo6Wr6+vhg8froSEBGVlZamwsFCpqamaP3+++vbtq2HDhuno0aNVcGIAAAAAyooBDgBgKQxwRPaIAY7IHrnCALelVrASn/I0pC01u+hMBQa4wsJC5ebm6uTJkzp48KCOHTum7OxsHT58WCtWrFBAQID69eundevWKT4+XhMmTFBkZKSGDRumVatW6cCBA1q4cKEiIiI0evRoxcbG6syZM1VwYgAAAADKigEOAGApDHBE9ogBjsgemT3AnVmyTT/VCtb6p7wM6aeaXZRTgQEuLy9P2dnZmjNnjsLDw9WjRw/16NFDXbt2Vbdu3dSjRw/NmTNHx48f1/Hjx7Vnzx5NmTJFnp6eCggIUEhIiPz8/NStWzctW7ZMhw8fVkFBQRWcGAAAAICyYoADAFgKAxyRPWKAI7JHrjDAbaodrHVPeRnSplrBFRrg8vPzdfz4cU2bNk0BAQEKCAhQp06d5O/vr969e2v69OnasWOHbt26peLiYuXn52v16tXq1auXgoKC5O3trdDQUEVFRWnPnj26deuWHA5HFZwYAAAAgLJigAMAWAoDHJE9YoAjskdmD3A5S7ZpY+1grXnay5A2VnCAKykp0a1bt3Tq1Cnt27fvfunp6Tp48KBOnTqla9eu3f/dcCUlJbp48aIOHjyojIwMpaWlKTMzU1lZWcrNzZXD4ZDT6ayCEwMAAABQVgxwAABLYYAjskcMcET2yBUGuA21Q7T6aS9D2lArWL/GbjXteQAAAAC4DgY4AIClMMAR2SMGOCJ7ZPYA9+uSbUqsHaJVT3sbUmKtEAY4AAAAAJIY4AAAFsMAR2SPGOCI7FF1G+DW1wrRaQY4AAAAAGKAAwBYDANc9erPmH1vZG4McET2yBUGuPW1Q/Tj096GxAAHAAAA4D8Y4AAAlsIA55pVFbOfw+xztXMMcET2yOwB7vSSbVpXO0Qrn/Y2pHUMcAAAAAB+wwAHALAUBjjXrKqY/Rxmn6udY4AjskeuMMCtrR2iH572NqS1tUJ0igEOAAAAgBjgAAAWwwDnmlXWH72P2c9h9rnaOQY4Intk+gC3dJvWvB6qhKe9DWlNbQY4AAAAAPcwwAEALIUBzjV7nMq+jxn3YMQzkDExwBHZI7MHuFNLt2v166Fa8XcfQ1pdO1QnGeAAAAAAiAEOAGAxDHCu2eO4wj2U9z7MvH96OAY4InvkCgPcqtdD9f3ffQzpRwY4AAAAAL9hgAMAWAoDnGv3ILOu+ygr3D/9PgY4Intk9gB3cul2rXw9VMv/7mNIK2uH6gQDHAAAAAAxwAEALIYBzrV7kFnXfZyKvIfZZ2n3GOCoIj2O2fdEf54rDHA/1AlV3DM+hvTD6wxwAAAAAO5hgAMAWAoDnGv3ILOu+zgVeQ+zz9LuMcBRWSsrs++THp/ZA9yJpduVUCdUy57xMaSE10N1nAEOAAAAgBjgAAAWwwDn2j3I7Os+ylXvnR4fAxyVpfIy+37p97nCALeiTpiWPuNrSCteD9Xx2G2mPQ8AAAAA18EABwCwFAY41+5BZl/3cVzx3unxMcDRX/Vn/uzPzb5vejizB7jjvw1wS57xNaT418MY4AAAAABIYoADAFgMA5xr9zhP+poVvZ8nec/01zHAWasHmXHNP7vu45h9XvTfXGGAi68TpthnfA0p/vUwZTPAAQAAABADHADAYhjgXLvHedLXLO+fP+51Zp8jMcBZrQf92Z+VVXmuV5HXl+Vn6MnkCgPc93XCtPgZX0P6ngEOAAAAwG8Y4AAAlsIA59oZrSLX/KvXlOV9zD5HYoBzxZ60st5HZe7f7DMl8we47KXbtbxumL571teQltcJU/YSBjgAAAAADHAAAIthgHPtjFaRaxrxGrPPkRjgnkSurqz3XZlnNvvvgFxggFu2XXF1w7ToWV9DiqsTpiwGOAAAAABigAMAWAwDnGtntIpc04jXmH2OxABXlT1pFb23stx7ZZ/f7L8Lco0BblndMC181teQljHAAQAAAPgNAxwAwFIY4Fy3R7naNf/sdWbcO/15DHBVV0WV5z2fxL2b+R5kXGYPcFnLtmtp3TAteNbXkJbWDdMxBjgAAAAAYoADAFgMA5zr9ihXu+afvfZJ3zf9dQxwVdcfMfJ9n8S9u/J9Utkze4A7tmy7YuuF6dsavoYUywAHAAAA4DcMcAAAS2GAc90e9aSvV5Zr/tFrn+R9U9ligKv6HmXk+z2Je3bl+6Sy5woD3OJ6YZpXw9eQFtcN01EGOAAAAABigAMAWAwDnOv2qCd9vbJc849e/yTvm8oWA5z1elBVv39lrlHV90nlyxUGuO/qhWluDV9D+o4BDgAAAMBvGOAAAJbCAOe6PcoVr1cWZp8j3YsBzno9qKrfv6LXMOI9yNjMHuCOLtuuRfXCNKeGryEtqhumIwxwAAAAAMQABwCwGAY41+1Rrnq9v2L2OdK9GOCs14Oq+v0rcq3K/CxVXa4ywM2u4WtICxngAAAAAPyGAQ4AYCkMcK7bo1z5en/E7DOk/8YAZ70eVNXvX95rVfTnqOpzhQFu4RthmvWcryEtrMcABwAAAOAeBjgAgKUwwLluj3Ll6/0Rs8+Q/hsDnPV6UFW//6OMeD2Zk9kD3JFl27XAwAFuQb0wHV7KAAcAAACAAQ4AYDEMcK7bo1z5en/E7DOk/8YAZ70eVNXvXxlmnxM9nCsMcPPfCNPM53wNaT4DHAAAAIDfMMABACyFAc51e5SrX+txzD5D+m8McNbrQVX9/hVh9vnQ4zN7gDu8bLu+fSNM05/zNaRv64XpEAMcAAAAADHAAQAshgHOdXuUFa71pO6Xyh8DnPV6UFW/f1mZfSb017nCADfvjTBNe87XkOYywAEAAAD4DQMcAMBSGOBct0e5+rWe5P1S+WOAs14PsuL7kzmZPcAdWrZdc98I05TnfA1pTr0wHTRggHM6ncrPz1dmZqZ27typXbt26cSJEyouLlZpaanu3r2rnJwc7dq1S0lJSdq2bZt27typjIwMXblyRSUlJXI6nQacEAAAAICKYoADAFgKA5zr9ihXv9aTvF8qfwxw1utBVnx/MifTB7i47ZpTP0wxz/sa0uw3jBngSktLdezYMQ0bNkze3t4KCQnRggULdP36dRUXFys/P18JCQnq0qWLPDw89MUXX8jb21tDhgxRcnKybt26JYfDYcAJAQAAAKgoBjgAgKUwwLluj3L1az2pe6WKxQBnvR5kxfcnczJ7gDsYt12z64dp8vO+hjTrjTAdqOQAV1xcrJycHK1du1bBwcFq2rSpPv/8c40fP15XrlzR+fPn9csvvygmJkb+/v4KDw9Xv379FBoaqh49eig2NlaZmZnKy8sz6JQAAAAAVAQDHADAUhjgXLdHVZdrkTkxwFmvB1nx/cmcXGGAm1U/TJOe9zWkmQYMcHl5edq0aZPGjx+v0NBQtWvXTi1btrw/wKWmpmrMmDEaOXKkIiMj9dNPP+n06dNavnz5/f+2YMEC5eTkGHRKAAAAACqCAQ4AYCkMcK7bo6rLtcicGOCs14Os+P5kTq4wwM2sH6aJz/sa0oxKDHBOp1NFRUU6ffq0Zs+erX79+ikiIkIDBgxQx44d7w9wGzZskK+vr0aMGKE1a9boxIkTKioq0r59+7R48WL16dNHQ4YM0eHDhw0+LQAAAADlwQAHALAUBjjX7VFP6lpmPzdVTQxw1utBVnx/MiezB7gDcds1o36Yvnne15CmvxGm/RUc4EpLS5Wbm6u0tDQNGjRInTp10rfffqu5c+cqICDg/gC3dOlSvfXWW4qKitLZs2dVUFAgh8Oh69evKyUlRUFBQfL29tbevXsNPi0AAAAA5cEABwCwFAY41+5B1eE6ZF4McNbrQVZ8fzInVxjgptcP04TnfQ0p5vUuWhO9UMnJyYqPj9ecOXMeKj4+XikpKcrJyZHD4XjoXgoLC7Vjxw7Nnj1bEydO1LRp07Rq1SotWLBAgYGB9we4hQsX6rXXXlNUVJRu3ryp4uJiOZ1OFRYWav/+/erUqZNatWql3bt3m3SqAAAAACQGOACAxTDAuXYPMvteyNoxwFmvB1nx/cmcqtsA903NQM0Mj9TkyZPl4+Ojxo0bP5Sfn59iYmKUnJys4uLi+/fhdDp148YNzZgxQ6GhoYqLi9PevXu1c+fO3w1w8+bN07PPPquoqKjfPU92drZ8fHzUrFkzJScnP8mjBAAAAPAIBjgAgKUwwLl2DzL7XsjaMcBZrwdZ8f3JnMwe4PbHbde0+mEa/4KvIU2u00WJE2KVnp6u9evXKy4u7qESExOVnp6u8+fP3/8GnNPp1KVLl7R3715NnDhRAwYM0NatW/Xrr79qz549DHAAAACARTHAAQAshQGOyB4xwFmvB1nx/cmcXGGAm+IepnEv+BrSlPphyizn74BzOp06cOCA4uLiFBERoYEDB2rr1q06ceKEtm7dqpiYGHl5eWnEiBHKzs7W1KlT9dxzzykqKkqlpaVyOp2S7v0OuWPHjsnX11effvqpUlJSquLIAAAAAJQRAxwAwFIY4IjsEQMcPdqDzL4XMi6zB7jMuO2KcQ/TmBd8DSmmfpgyKjDAJSUlacyYMfL29taHH36ogIAAde/eXX5+fmrevLnq1q2rL774QuPGjVNwcLBeeeUVRUVF6caNGyoqKpLT6dTt27e1b98+BQQEqE2bNvwOOAAAAMBkDHAAAEthgCOyRwxw9GgPMvteyLhcYYCb7B6m6Bd8DWlS/dAKDXA7duzQuHHjFBAQoKZNm+qTTz7RRx99pIYNG6pOnTp69tln9e6776p79+7y8fHRO++8o8jISB09elTXr19XSUmJLly4oK1btyo0NFSdO3fWvn37qujUAAAAAJQFAxwAwFIY4IjsEQMcPdqDzL4XMi6zB7iMuO2a5B6m0S/4GNLE+qHat3Rrue/j8uXLOnTokJKTk7V582Zt3rxZq1ev1uzZszVgwAB9+umn6tGjh7Zs2aIFCxYoKChIw4cP19KlS3XkyBEVFhYqJSVFc+bMUf/+/TVy5EgdO3asCk4MAAAAQFkxwAEALIUBjsgeMcDRoz3I7Hsh43KFAW6ie6hGveBjSN9UcIB7nPz8fGVkZGjBggUKDAzU+PHjdeXKFe3fv18zZszQqFGjNGjQIC1btky//PKLZs2apa+//lrjxo1TfHy8zp07Z8h9AAAAAKgYBjgAgKUwwBHZIwY4erQHmX0vZFxmD3D74rbrG/dQRb7gY0gT6ocqvYoHuKtXr+rAgQOaNm2a2rVrJw8PD3l6eqpDhw4KDQ1VfHy8jh8/rlu3bhlyHwAAAAAqhgEOAGApDHBE9ogBjsgeucIAN8FFB7jbt2/r5MmT2rx5s2JiYvTDDz8oLy9PxcXFKigo0MaNGzVkyBD17t1bXbt2Vf/+/TVp0iTt27dPt2/flsPhMOQ+AAAAAFQMAxwAwFIY4IjsEQMckT1ylQFu5As+hjTewAGutLRUhYWFunHjhs6dO6erV6+qpKRETqdTDodDubm5On36tE6cOKHjx4/r5MmTOnfunG7evKnS0lI5nU5D7gMAAABAxTDAAQAshQGOyB4xwBHZI7MHuPS47RrvHqoRL/gY0jgDBzgAAAAA1sYABwCwFAY4InvEAEdkj1xhgBvnHqrhL/gY0tj6oUpjgAMAAAAgBjgAgMUwwBHZIwY4Intk9gCXFrdNY9xDNewFH0OKrh+ivcsY4AAAAAAwwAEALIYBjsgeMcAR2SOzB7i9cds0ukGIvnbzNqRR7iFKZYADAAAAIAY4AIDFMMAR2SMGOCJ75AoD3KgGIRri5m1IDHAAAAAA/oMBDgBgKQxwRPaIAY7IHlW3AS6KAQ4AAADAbxjgAACWwgBHZI8Y4IjskSsMcFENQjTYzduQIhngAAAAAPyGAQ4AYCkMcET2iAGOyB6ZPcClxm1TZIMQDXLzNqSR7iHawwAHAAAAQAxwAACLYYAjskcMcET2yBUGuJENQvSVm5chjXAPZoADAAAAIIkBDgBgMQxwRPaIAY7IHpk9wO2J26YRDYL1pZuXIQ13D9buZVtMex4AAAAAroMBDgBgKQxwRPaIAY7IHrnKADfQzcuQGOAAAAAA/AcDHADAUhjgiOwRAxyRPXKFAW64gQNcBAMcAAAAgN8wwAEALIUBjsgeMcAR2SOzB7jdcdsU0SBY/d28DGmYe7B2McABAAAAEAMcAMBiGOCI7BEDHJE9coUBbliDYPVz8zKkoe5dGOAAAAAASGKAAwBYDAMckT1igCOyR2YPcLviturrBsHq6+ZpSF+7d1EKAxwAAAAAMcABACyGAY7IHjHAEdkjVxjghjToot5unoY0mAEOAAAAwG8Y4AAAlsIAR2SPGOCI7JHZA1xK3FYNbtBFvdw8DWmQexclM8ABAAAAEAMcAMBiGOCI7BEDHJE9coUBbpChA1wQAxwAAAAASQxwAACLYYAjskcMcET2yFUGuJ5uHQ3pKwY4AAAAAL9hgAMAWAoDHJE9YoAjskeuMMB91aCLerh1NKQv3YP0CwMcAAAAADHAAQAshgGuelXzb2+r9t/fUZ1nG6pejUaqV6OR6tZopNf//u7vXlfrqX/q9WfeVd1n773mP9V5pqFqPf1P1fzb26Y/DxkXA1w1yq21PF9sK59X2sv31Q7yfe2/+bzSXt4vt5Pni23U8YXW8nRrI88X28j75Xb3XvtbPq92uPc6tzbmPw8ZmtkDXHLcVn3ZoIu6u3U0pIEMcAAAAAB+wwAHALAUBrjq1duvfiT/NmH6um+UJo2eqanj5uibqOkK6thDdWs0uv+6N1/6QE3faqWu/v0UPXSSxg6frHEjYjR2+GT17zpULT/w0js1P1btp98x/ZnImBjgqkdeL7aVf21P9WrSVZO6jdeikd9q6ZjvtGzcYi0du1gz+k3RSM+h6t44RB3dWiuwrrd6/itME0Ki9V3kfMWOXqTFUQv07dezNSZgpELeCmCIq2a5wgA3sEGQwt08DGmAe2f9smyzac8DAAAAwHUwwAEALIUBrnrVxP0LjRw0XmsSNmh/+iEdP3ZSWUdOaMrY2WrwYpP7r2v6VisFefTQ3KmL9Mv23fpl+y4l/7xbKTtSFb9klfp3Haov3vdUvRqNTX8mMiYGuOqR98vt1MXdXxHtB2vNnB+1b9teHUrer8O7D+rwroNKStim5ROWaETHr+XzSnv1atJVYwIitWbOSmUm7dOBnZnK/Hmf9mzcpfhJcfrq333VuZ6PvF5sa/qzkTGZPcD9ErdVAxoEqZubhyH1d++snQxwAAAAAMQABwCwGAa46tU/azZV5449NLTfKI0eOlFL5sdr394Dvxvgunj21KzJCxQzZpZGD52ofmFfq1eXrxQ5eLymjJutuVO/04Buw/T2qx+Z/kxkTAxw1SPvl9spqL6v+n3SQxPDxmpGvxhNDBurb0LHaFK3cVr+zVLt2ZCiuYNnqlvDLprWZ7LWzVut5d8s1bdDZyum+zea0uMbLR61UItHLdD0vjH6uvVA+dX0MP3ZyJhcZYDr6uZhSAxwAAAAAP6DAQ4AYCkMcNWr+s+/p2bvtlXrpr5q+aGXhvYbpZQdqQ8NcDX/9raG9InSlg0/a/zIqfJrHarGdZrrzVc+lMdngRrx5TitSdioSaNnqOHrzUx/JjImBrjqkddLbRVQ11uhbweqV5OuCm/YRb6vdpDXS23lV9NDM/rF6HhGllbELNdXX/TVqlk/6MieQ1o4fJ76f9JTgfV81MXdXyO9hmru4Jn6cUaCpvaepMC63qY/GxmTKwxw/Rt0VpibhyH1Y4ADAAAA8BsGOACApTDAVa9qP/2OGrzURI3qNNdHb7XUlz2GKzlpz2MGuEht2fCzJo2eoc4e3fWvNz7T269+JJ+WIYocNF7xsasUPXSS3q31ienPRMbEAFc98nRrI+9X2suvpocC6njJv1ZHeb3YVp5ubeT1Ult9EzZG6Vv36vtvlmqk59fasmyTfj1yWjP7T1VgPR/5vNJe/rU91fuDbpraa5J2/pikpWO+Uxd3P9OfjYzJ7AFuZ9wW9W3QWSFuHQypj3ugdjDAAQAAABADHADAYhjgqmf1nmus9+p+qv5dhyr550cHuLcUHjBAsfO/14yJ3ypq8ASFePdSp3bdNKx/tCZHz9KMid+qT8hgvfXKh6Y/CxkTA1z1zuvFtvJ5tYMmdR2n9C17FTc+VhHtB2nz0k3KOfarZg74/QA3e+B0HUo5qDVzflTIm51MfwYyJrMHuB1xW9S7QaCC3ToYUm/3QCUxwAEAAAAQAxwAwGIY4KpnfzbAvfa/b+nTRu3VI3CgFs+N066de7Vt0w5t3ZCkXTtSlbBstfqEDNZnjdqrbo1Gpj8LGRMDXPXOr6aHgv/RSfOGzNKpgye0bNxidW8crPhJcTqy55AWRy3QV//up6D6fgr+RyeN9h+hVTMSdOZYjjZ+l6jQtwJMfwYyJlcZ4Lq4tTekXu4BDHAAAAAAJDHAAQCeAIfDoWvXrunixYsqLCws08+Ulpbq+vXrOnHihNLS0rRjxw7t2LFDs6bPU9N3Wujl/+uuV//3TdNHAjKmvxrgmjdsp/BO/TVv+mJt3bhDa3/YoNUr1mvrxiTFx/6owb1Gqu3Hvnrj+camPwsZEwNc9czTrY28Xmyr7o1DNCYwSt9/s1RpP+3RzP5TFVDHSzE9Jihx4Tp9/81SzR00U2M7j9KYgEjNGzJLW5Zu0sXTF/TTko0KfSvQ9GchY3KFAa5Xg0AFubU3pJ7uAUpa9lO578PpdKqoqEhZWVnasWOHkpKS9PPPP2v79u1KSUnRoUOHdOHCBd29e1elpaW6e/eucnJytGvXLiUlJWnbtm3auXOnMjIydOXKFZWUlMjpdFbBiQEAAAAoKwY4AECVu3Pnjvbu3autW7fq0qVLZfqZu3fvKj09XYsWLVK/fv3k4eEhDw8PNWv6mV57rp6e/z+19Mr/+4fpIwEZ018NcIHtwzVl7GyNiZisr3qOkNcXXdSumb/6d/1ak6NnaNnCFRo+cIzeqdnU9GchY2KAq555vdhWvq91UJRPhLYt36zEBWu1IGKuhrQaKO+X26n3B900tnOUVsQsV/KanUpZ+4u2x2/VjzMStP37zbpw6rw2LU5kgKtGmT3AJcVtUc8Ggers1t6QergH6OcKDHAlJSW6du2aZsyYoY4dO6p9+/Zq06aNWrdurc6dO2vMmDHatGmTCgoKVFxcrPz8fCUkJKhLly7y8PDQF198IW9vbw0ZMkTJycm6deuWHA5HFZwYAAAAgLJigAMAVLnc3Fx99913GjdunI4cOVKmnykpKVFWVpYSExM1ffp0RRhQjLsAACAASURBVEREKCIiQsGdw9SgZkO5/X919CoDXLXpz38H3Nsa1HOkNqzerKH9R+uL9z311qsfyf2Ff+nTRu31Vc8R2rrhZ82ZslCN635q+rOQMTHAVb883doo5M0ADfcYogURc/Xzim1aOnaxhrb5UmH/7KyObq0VUMdbPf4VqolhY7V0zHf6fuIyLRsXq7mDZmjl1Hgdz8jS2rmrFPIm/wRldckVBrgeDQJMH+AcDofy8vKUkJCgr7/+Wl9//bWGDBmir776Sn379lVYWJimTZum48ePKysrSzt37lRMTIz8/f0VHh6ufv36KTQ0VD169FBsbKwyMzOVl5dXBScGAAAAoKwY4AAAVe7ChQsaOHCg2rZtq507d5bpZ5xOp4qLi3Xz5k3l5ubqypUrunLlihLX/KSWH3rq1f/HPz9ZnfqrAW5y9EydyDqlr3qMUN0ajVTr6X+q1lNvq+6zDRXUsYf2JKfp+8Ur9X79f5v+LGRMDHDVK0+3NvJ6qa0GfdFPq2et1E+xGxQ/KU5jAiIVUMdL3i+3u/e6F9vK55X2CqjjpS7ufurSwF9d/9lZfZt21/Q+k5W2eY8SYpYruIG/6c9ExmT+ALdZPRoEKNCtnSF1d+9UoQHO6XSqpKREV69eVU5Oji5evKjLly/rwoULSkxMlJ+fn/r06aMtW7bohx9+0OjRozVy5EhFRkbqp59+0unTp7V8+fL7/23BggXKycmpghMDAAAAUFYMcACAcrlx44a2b9+uJUuWlLlp06apefPmatKkibZu3Vqp66ckpapdM3/TxwEytr8a4Cb9NsCN+HKcGtVprjeea6w6zzTUu7U/UY/OA5WctFux336vf73xuenPQsbEAFe96lzPR0NaDdTsL6dr0+JEJcR8r7GBUer1QVd5vdj2/uu8X2kvv9c85PXSf/9b8D86aZTfcC0cPk+JC9Zq1sBpCqznY/ozkTG5wgDXvUGAAtzaGVK4eydtr8AAJ/13hCsuLlZpaen93/WWlJQkLy8vde3aVYmJiZo1a5a8vLw0YsQIrVmzRidOnFBRUZH27dunxYsXq0+fPhoyZIgOHz5s8GkBAAAAKA8GOABAuRw/flx9+vTR22+/Xebq16+vp556Sm+//bY2bdpUqeszwFXP/mqAGzs8RgczjmjiqBlq94m/3qn5sRq82EStPvTWsP6jtXVjkmbH8E9QVqcY4KpXPf8VqiWjF2nzko3asHCdZvSNURd3v4fGt45urdWptqeC3P3k+1oHdXzh3jfnen/QTcvGLtbauau0cPg8jej4tfxrdTT9mciYzB7gfo7brPAGAerk1s6QulVigHtUaWmpioqKtG3bNnl4eCg0NFSJiYkaPXq0GjRooKioKJ09e1YFBQVyOBy6fv26UlJSFBQUJG9vb+3du9eQ+wAAAABQMQxwAIByOXbsmIKCgtSwYUN169ZNI0eO1OjRozVmzJjfFR0drejoaA0aNEiNGjXSe++9py1btlTq+gxw1au3XvlQ3i2C9VWPEfpm1HStXpGoUydylLQ1Rd9ETVOPzl+qdVNffdVzhOZOXaTZMQs1bcI8RQ+dpKjBEzRl7CzNmPitpo2fox6dv9SbL39g+jORQf/bYICrFnm/3E5dGvgryidCO3/8Wdnpx7RvW5o2Ld6gRSO+1dzBMzV38EyN9huh3h900+CWAzTKb7im9ZmsBRFztSBirpZEL9Ka2T9qyZjvNNJrqMIbBd//JyvJ+rnCANfNvZP8XmhrSMF1fbRozDwlJycrPj5ec+bMeaj4+HilpKQoJydHDofjd/fjdDqVm5urjRs3aurUqYqOjlb//v3l5+en6OhoHTx4UJMnT9arr76qqKgo3bx5U8XFxXI6nSosLNT+/fvVqVMntWrVSrt37zbhRAEAAAD8BwMcAKBcjh49Kj8/PzVr1uz/b+9Ow66uC33/P/mfs8/eZ5999lCaqJRTKipkZaU5heEQOGHiiIooZCZsE0wpBblVEhxySjMEUQbDCZUpTYFkVAZHUEDJVJAZlPGePv8Hu+3ZXtVO4YfrXvxer+t6P3Ld1/39fR9wcfFxrZXhw4fn1VdfzVtvvZW33377rzZjxoycd955adOmTSZMmLBVv98At3115IHHp3+fW/O7cRPz+msL8v7iZVmz5oMsX7Yyby96J48++GQu/1HvXHhG95x7ykUZdNfQzHr+pcx54eXMeeHlzJw2Jw8OeSRdzvz3HHlgu7TY6VsVfyYVkwFu++jsL5+afz/yh7mr5+2ZP/uNrFmxJn+YuygL5szP/NlvfNSoXz6S6865Jrd1uzkPXDs408ZMyR/mLsof5i7Kq1NfzvghY3Jb95tzwYHnVPyZVGyVHuAmjHg6XVudk7Oan1xI5+3dIX1/eHVuueWWnHnmmTnkkEM+1tlnn51f/OIXmTJlSjZv3vxn52loaMiiRYty+eWXp1WrVtlll13SsmXLnH/++Rk6dGhWrlyZe+65J82aNUtNTc2f/fz8+fNz5plnpk2bNpkyZcpncYUAAMBfYYAD4FN56623cuWVV+b888/PyJEj89prr2X58uX54IMP/mJr167NwoUL87Of/SydOnXKjBkztur3G+C2rw7c7fC0b9MxF3W8LD0vvjo/u+y69PnJDbm6x/Xp1b1vOp92SY779qlp/bUTcsRX2uasE7vk0i698uMuP82Pu/TKv194Zc475Ydp/bUTcuBuh2fvHQ6q+DOpmAxw20dn7NY+5x9wVi5r0y23XnJTft3rrtxx6S9y2yU35db/0tXfvzIXf/vCXNr64lzR7rLccP61uePSX+SOS3+RW37YP33PuCqXtr44Z/voye2uSg9wz454Ol1adcyZzU8qpPP3OzMPDBicWbNmZcyYMRkxYsTHGjt2bGbNmpX33nvvr74Dbu3atZk0aVLuu+++3HbbbbnqqqvSqVOn9O/fP6+99lpuvPHG7LTTTgY4AABo4gxwAHwqixcvzq9//ev069cvY8eOzfz587Nx48b/9mdWrVqVQYMG5brrrstrr722Vb/fACeVIwOcVI6awgB3YauOOaP5SYV0Ycuz88ywrfu+2/9UX1+fdevWZdKkSenSpUt69uyZ3/3ud7n66qs/egdcQ0NDGhsbk/zHu+def/31nHXWWTnmmGMyderUQs4BAABsGQMcAJ/K+vXrM3fu3MyePTtvv/121qxZ8xf/D+7/atOmTZk3b15mzZqVVatWbdXvN8BJ5cgAJ5Wjyg9wT+XCVmfn9OYnFtIFBQ5wjY2Nqaury4svvpiamppcffXVGTRoUC655JKPvgNu9erV2bRpUxobG7N+/frMnj075557bk466STfAQcAABVmgAOgqhjgpHJkgJPKUVMY4C4ocIDr3PKs/G4LBriGhobU19envr7+Y+9qa2xszLx583LzzTend+/eufnmm/PDH/4w3/rWt9K3b9/MmzcvK1euTF1dXRYvXpxnnnkmXbp0SadOnTJ79uyirwsAAPgUDHAAVBUDnFSODHBSOar0APfMiKfSudXZOa35iYV0/hYOcBs3bszatWvzwQcfZP369amrq0tjY2Nqa2szY8aMdO/ePd27d8+9996bn//85znvvPPSu3fvDBs2LHPnzs3GjRszderU/OpXv8pll12Wa665Jq+//vo2uDEAAOCTMsABUFUMcFI5MsBJ5agpDHDntzq7sOfp1PKsPL0FA9yaNWvy9ttvZ86cOZk8eXKef/75zJw5M9OnT8/QoUPTuXPn/OQnP8m4cePy2GOP5fbbb8+1116bK664IsOHD8/kyZNz11135ac//WluuOGGjBw5Mu++++42uDEAAOCTMsABUFUMcFI5MsBJ5ajSA9zvRjyVTq3Oyvebn1BI523hALd06dLMmjUrN954Yzp27JhzzjknHTt2zFlnnZVOnTrlkksuyb333ptFixbl7bffzksvvZTbb7897du3z6mnnprTTjst3//+99OlS5eMHDkyCxYsyLp167bBjQEAAJ+UAQ6AqmKAk8qRAU4qR01hgDuv0AHuzDw9bPynPseqVasyd+7c3HPPPenWrVsuueSS/OhHP8rFF1+cn/3sZxk4cGCmTp2a9evXZ/Pmzfnggw8yfvz49OrVK927d88PfvCDXHbZZbn55psze/bsrF+/PvX19dvgxgAAgE/KAAdAVTHASeXIACeVo6YxwJ2ZU5ofX0jnbuEAV1dXl/Xr12fJkiVZuHDhRy1YsCCLFi3KkiVLsnbt2jQ0NKSxsTH19fVZtWpVFi1a9NHr3nzzzbz77rv58MMPP3odAABQOQY4AKqKAU4qRwY4qRxVeoB7esRvc27LM9O++fGFdM4BZ+SpLRjgAACA7Y8BDoCqYoCTypEBTipHTWGA69jyjJy0a7tC6njAGfmtAQ4AAIgBDoAqY4CTypEBTipHlR7gnhrx25zd8oycuGu7QjrrgNMNcAAAQBIDHABVxgAnlSMDnFSOmsIAd1bL03PCrm0L6T8GuHEVex4AAKDpMMABUFUMcFI5MsBJ5ajSA9xvR/w2Z7Y8Pcfv2raQzjzg9Iw3wAEAADHAAVBlDHBSOTLASeWoKQxwZ7Q8Pe12bVtIZxjgAACAPzHAAVBVDHBSOTLASeWo8gPc+JzR8vS03fV7hXT6AadlnAEOAACIAQ6AKmOAk8qRAU4qR01hgDu95WmFDXCnGeAAAIA/McABUFUMcFI5MsBJ5ajSA9z4EeNzWsvT8r1djyukDgd0MMABAABJDHAAVBkDnFSODHBSOWoKA1yHlh1y3K7HFVKHAzpk7LCxFXseAACg6TDAAVBVDHBSOTLASeWo4gPc8PHpcECHHLvLsYV06v6nGuAAAIAkBjgAqowBTipHBjipHFV6gBs3fFxOPeDUHLPLsYX0fQMcAADwJwY4AKqKAU4qRwY4qRw1hQHulANOzdG7HFNIp+z//YwxwAEAADHAAVBlDHBSOTLASeWo0gPc2OHj0v6A7+e7uxxTSO0NcAAAwJ8Y4ACoKgY4qRwZ4KRy1BQGuJMP+H6O2uXoQjp5/1MyetiYij0PAADQdBjgAKgqBjipHBngpHJU6QFuzPBxOfmAUwob4E7a/5SMHmqAAwAADHAAVBkDnFSODHBSOar8ADc2J+1/Slrv3KaQTtyvvQEOAABIYoADoMoY4KRyZICTylFTGOBO3L99vrNzm0I6Yb/2edIABwAAxAAHQJUxwEnlyAAnlaNKD3Cjh4/NCfu3z5E7f7eQjt/vZAMcAACQxAAHQJUxwEnlyAAnlaOmMcCdnCN2PqqQ/mOAG12x5wEAAJoOAxwAVcUAJ5UjA5xUjprCAHd8gQNcu/1OyhMGOAAAIAY4AKqMAU4qRwY4qRxVeoB7cviYtNvvpBzWrHUhtTXAAQAAf2KAA6CqGOCkcmSAk8pRUxjgvrffSTm0WetC+l6LE/O4AQ4AAIgBDoAqY4CTypEBTipHlR7gnhg+Jsftd2K+3ew7hXRcixPz+NAnK/Y8AABA02GAA6CqGOCkcmSAk8pRUxjgjt3vxBzS7DuFdGyLEzLKAAcAAMQAB0CVMcBJ5cgAJ5WjSg9wjw8fk2P2OyEHNzuykI4xwAEAAH9igAOgqhjgpHJkgJPKUcUHuGGjc8x+J+RbzY4spKNbHG+AAwAAkhjgAKgyBjipHBngpHLUFAa4o1scn2/udEQhtdn3+Dz2gAEOAAAwwAFQZQxwUjkywEnlqCkMcG1aHJ9v7HREIbXZt10ee+CJz/oxAACAJsgAB0BVMcBJ5cgAJ5WjSg9wo4aNzndbtMtBOx1eSN81wAEAAH9igAOgqhjgpHJkgJPKUeUHuCcLHeCO2rdtHt2CAW7z5s1Zs2ZNXnzxxYwfPz5PPvlkRo0alccffzxPP/105syZk/feey+1tbWpr6/P5s2bM3/+/Dz11FMZPXp0Ro0albFjx2by5Mkfva6hoWEb3BgAAPBJGeAAqCoGOKkcGeCkctQUBrijWrTN13c6rJBab+EAt3bt2syfPz833nhjTjrppLRp0yaHH354jjjiiJxxxhnp379/nn322Xz44YfZtGlT1qxZk2HDhqVDhw455phjcthhh6Vdu3bp3r17Jk2alA8//DB1dXXb4MYAAIBPygAHQFUxwEnlyAAnlaNKD3CPDXsyrVu0zdd2OrSQvrPv9/LoA49/6nOsWbMmCxcuzLBhw3L11VenpqYm1157bfr27ZsrrrgiXbt2ze23356FCxdm3rx5efrpp3PzzTfn/PPPT48ePdKnT59069Yt3bt3z+DBgzNjxoysWrVqG9wYAADwSRngAKgqBjipHBngpHJU+QHuiRy57/dy4Be+XUhH7nNcHtmCAW7t2rV599138+qrr2bOnDl5//33s379+qxatSqjR49Ou3bt0qVLl/z+97/PY489lquvvjq9e/dOv379Mnny5KxcuTKjRo1KTU1Nrrrqqtx9991ZtGhR8RcGAAB8YgY4AKqKAU4qRwY4qRxVeoB7dNgTOXLf4/KVHQ8ppCP2OXaLBrhNmzblgw8+yPLly7Ns2bJs3LgxjY2Nqa2tzXPPPZeOHTvm4osvzrhx43LnnXfmlFNOSZ8+fTJ+/PgsWrQomzZtyssvv5zhw4enW7du6dmzZ1599dVtcGMAAMAnZYADoKoY4KRyZICTylHFB7ihT+SIfYob4A7f+9iMvO/R1NXVZfPmzdm0adPH2rx5c+rq6tLQ0PCJztfY2JiZM2fmkksuSY8ePfLYY4/lqquuyv7775+amposWbIk69atS0NDQ9asWZMZM2akU6dO6dChQ55//vltfHsAAMB/xwAHQFUxwEnlyAAnlaOmMMAdvs+xabXjwYV08B5H5YY+N+eZZ57JoEGDMmDAgI81ePDgPPvss3nzzTdTX1//356trq4ua9euzfjx43PqqafmkksuydSpU3PDDTdk9913T01NTdatW5fa2to0NjZ+9C64jh075vjjj8+0adM+o1sEAAD+EgMcAFXFACeVIwOcVI4qPcA9MvSJHLbPsWm548GF9I3djkzPi6/MXXfdlS5duuTYY4/9WF27ds3dd9+dGTNmpLa29q+eq7GxMR9++GHmz5+f++67L8cdd1x+/OMfZ8GCBbn99tvTrFmz1NTU/NnPzZ8/P2eeeWbatGmTKVOmbMurAwAA/gYDHABVxQAnlSMDnFSOKj/APZ7D9jkmB+z4rUI6eK/v5s4bf5VXX301EydOzOjRoz/WpEmT8tprr2Xp0qV/9WMo//O73/5zbLvsssvyk5/8JMOHD8/y5ctz9913G+AAAKAKGOAAqCoGOKkcGeCkctQUBrhDCxzgvr330Xno/lFbfJ7//CjJd955J2PHjk2XLl3SuXPnDB06NK+88ko2btyYgQMHpnnz5qmpqfnY98nV19dn3rx5Oeuss3Lsscdm6tSpRV0TAACwBQxwAFQVA5xUjgxwUjmq9AD38NDH8+19js7+O3yzkA7Zu00euv+xLT5PQ0ND3n///QwdOjRXXHFFevTokdtuuy0vvfRSVq9enfr6+gwZMiQtWrRITU1NVq1alY0bN6ahoSHr1q3LrFmzcu655+bkk0/OjBkzCrwpAADg0zLAAVBVDHBSOTLASeWoSQxwex+d/Xb4ZiEd8uU2GbmFA1x9fX3ee++9TJo0Kb169Urnzp1z2223ZeLEiVm9evX/O/PDD6d169bp27dvXnrppSxbtix1dXX54x//mPHjx6dr16658MILM2fOnKKuCQAA2AIGOACqigFOKkcGOKkcNYUB7pC926TFDt8opIO//N0tHuDWr1+fJ554IldffXW6deuWa665JlOmTMmKFStSW1v70eueeeaZXHTRRendu3cGDx6cV155JRs2bMjvf//73HHHHenZs2euu+66vPHGG0VdEwAAsAUMcABUFQOcVI4McFI5qvQA99DQUTl47+9m3x0OKqRvbeEAt379+ixatCg1NTVp06ZNTjnllFx66aUZMWJEJk6cmIkTJ2bOnDl59913M23atAwcODDXX399evTokYEDB2bs2LG55ZZbcsUVV+Smm27KqFGjsnjx4m1wYwAAwCdlgAOgqhjgpHJkgJPKUVMY4L6591HZ5/NfL6Rvfvmo/Ob+Rz/VGRobG/Puu+/m2WefzRlnnJEddtgh++23Xw4//PC0bds27du3T/v27XPllVdm9OjReeGFFzJv3rzceeedOeGEE9K2bdscd9xxadeuXTp37pxHH300b7/9djZs2LCNbg0AAPgkDHAAVBUDnFSODHBSOar0ADfygVH5xpePypc///VC+sZerT/1AJcky5Yty5w5c3LTTTfl/PPPz6WXXppevXrlpz/96Uf96le/ytSpU7No0aKsXbs2EyZMSL9+/XLVVVfl8ssvT58+fXL33Xfn5ZdfzoYNG1JfX78NbgwAAPikDHAAVBUDnFSODHBSOar8APdYDvpy68L+7Dpor+/kwSGffoCrr6/Pxo0bs3LlyixevDjvv/9+li1b9rFWr16dDRs2pLa2Ng0NDVm/fn1WrFiRZcuWZenSpVm+fHlWr16dTZs2pbGxcRvcFgAA8GkY4ACoKgY4qRwZ4KRy1CQGuL2KG+C+voUDHAAAsP0xwAFQVQxwUjkywEnlqNID3G8eeCxf3+s72fNzXy2kr+11ZB4c8kjFngcAAGg6DHAAVBUDnFSODHBSOWoKA9zX9vpO9vi3Awvpq3semREGOAAAIAY4AKqMAU4qRwY4qRw1hQHuq3sdmd3/7cBC+uqeRxjgAACAJAY4AKqMAU4qRwY4qRxVeoB78IFH89W9jsxu//aVQjrQAAcAAPyJAQ6AqmKAk8qRAU4qR01hgDtwzyMKG+C+ssfhGT7k4Yo9DwAA0HQY4ACoKgY4qRwZ4KRyVPkB7pF8Zc/D88V/bVlIrfY4zAAHAAAkMcABUGUMcFI5MsBJ5ajSA9yI+x9Jqz0OTfN/PaCQWu5xaIYNeahizwMAADQdBjgAqooBTipHBjipHDWFAa7lHodm13/Zv5AO2P3bGXafAQ4AADDAAVBlDHBSOTLASeWo8gPcwzlgj28XNsDtb4ADAAD+xAAHQFUxwEnlyAAnlaNKD3DD7384++/x7ez8L/sV0n67H5KhBjgAACAGOACqjAFOKkcGOKkcNYkBbvdDihvgdjskQ+8bWbHnAQAAmg4DHABVxQAnlSMDnFSOmsIAt9/uh6TZP7copBa7HWyAAwAAkhjgAKgyBjipHBngpHJU6QFu2JCH02K3g7PTP7copH2/dHAeMMABAAAxwAFQZQxwUjkywEnlqPID3EPZd7eD84X/u28h7fOlb+WBwQY4AADAAAdAlTHASeXIACeVo6YxwH3LAAcAABTOAAdAVTHASeXIACeVo0oPcEOHPJR9dvtWdvy/+xTS3l/6Zh4Y/JuKPQ8AANB0GOAAqCoGOKkcGeCkctQUBri9v/TNfP6f9i6kL3/xG7nfAAcAAMQAB0CVMcBJ5cgAJ5WjSg9wDwwZmb2+9I187p++XEh7fvGgDDHAAQAAMcABUGUMcFI5MsBJ5ahJDHBf/Eb+7f/sVUh7Nj8oQwY/WLHnAQAAmg4DHABVxQAnlSMDnFSOKj7A3Tcye37xoMIGuD2af90ABwAAJDHAAVBlDHBSOTLASeWo0gPc/feNzB7ND8q//uOehbT7rl/PfYMMcAAAgAEOgCpjgJPKkQFOKkeVH+B+kz2afz3/8o97FtLuu37NAAcAACQxwAFQZQxwUjkywEnlqCkMcLvv+vX88//eo5B22+VruW/QiIo9DwAA0HQY4ACoKgY4qRwZ4KRyVOkBbsh9v8luu36tsAHuS7t81QAHAAAkMcABUGUMcFI5MsBJ5agpDHBf2vVr+af/vXshfXGXr2awAQ4AAIgBDoAqY4CTypEBTipHTWOA+2qBA9yBBjgAACCJAQ6AKmOAk8qRAU4qRxUf4AY/mC/u8tX8n3/YrZCa73xgBt9rgAMAAAxwAFQZA5xUjgxwUjmq9AB33+AH03yXA/OP//ClQtp1569k0L3Dt+gstbW1WbBgQSZNmpQnnngiDz30UB577LFMmzYta9eu/eh19fX12bx5c+bPn5+nnnoqo0ePzqhRozJ27NhMnjw57733Xmpra9PQ0FDUNQEAAFvAAAdAVTHASeXIACeVo0oPcIMHP5hddv5K/uHvv1hIuzRrtcUD3Lp16/Lggw+ma9euOeqoo3LggQfm0EMPzeWXX56FCxd+9LpNmzZlzZo1GTZsWDp06JBjjjkmhx12WNq1a5fu3btn0qRJ+fDDD1NXV1fUNQEAAFvAAAdAVTHASeXIACeVo8oPcCOy886t8vd//8VCatasZe7dwgFuw4YNGT9+fK677rpceumlOf3003PwwQena9euef311z963R//+Mf87ne/y80335zzzz8/PXr0SJ8+fdKtW7d07949gwcPzowZM7Jq1aqirgkAANgCBjgAqooBTipHBjipHDWFAa5Zs1b5X/+reSHttFPL3HvvsC06S21tbebNm5cJEyZk8uTJGTZsWNq3b/9nA9y0adPSu3fv9O7dO/369cvkyZOzcuXKjBo1KjU1Nbnqqqty9913Z9GiRQXdEgAAsCUMcABUFQOcVI4McFI5qvQAN2jQiDRr1jJ/93e7FtJOOx2QgQO3bIBraGjIihUrsmjRorzxxht5/PHH06FDhz8b4MaMGZMOHTqkT58+GT9+fBYtWpRNmzbl5ZdfzvDhw9OtW7f07Nkzr776alHXBAAAbAEDHABVxQAnlSMDnFSOmsIAt9NOxQ1wX/jCAbnnngdSV1eXzZs3Z9OmTR9r8+bNqaurS0NDw189U21tbZYuXZrx48fn9NNP/7MBbujQoWnVqlVqamqyZMmSrFu3Lg0NDVmzZk1mzJiRTp06pUOHDnn++ec/iysEAAD+CgMcAFXFACeVIwOcVI4qP8ANz047ATtGnQAADTBJREFUHZD/+Xe7FNLnPrdPrryyb5555pkMGjQoAwYM+FiDBw/Os88+mzfffDP19fV/8Ux/a4AbPHhw9txzz9TU1GTdunWpra1NY2PjR++C69ixY44//vhMmzbts7pGAADgLzDAAVBVDHBSOTLASeWoKQxwXyhwgPuXf90rF154Se6666506dIlxx577Mfq2rVr7r777syYMSO1tbV/8Ux/a4D79a9/nWbNmqWmpubPfnb+/Pk588wz06ZNm0yZMmW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    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![image.png](attachment:image.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}