Project Medical Insurance Cost Prediction.ipynb

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   "source": [
    "## **Project:** Medical Insurance Cost Prediction\n",
    "\n",
    "- Basic Understanding of Data\n",
    "- Exploratory Data Analysis\n",
    "- Data Preprocessing and Feature Engineering\n",
    "- Train Test Split\n",
    "- Model Building and Model Evaluation \n",
    "- Hyper-Parameter Tuning\n",
    "- Prediction on new Data\n",
    "- Model Deployment \n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "39ad9279",
   "metadata": {},
   "source": [
    "**Which Factors Influence the Price/Cost of Health Insurance?**\n",
    "\n",
    "<img src=\"images/p5.jpg\" height=400px width=400px>\n",
    "\n",
    "Many factors that affect how much you pay for health insurance are not within your control. Nonetheless, it's good to have an understanding of what they are. Here are some factors that affect how much health insurance premiums cost\n",
    "\n",
    "- **age:** age of primary beneficiary\n",
    "- **sex:** insurance contractor gender, female, male\n",
    "- **bmi:** Body mass index, providing an understanding of body, weights that are relatively high or low relative to height, objective index of body weight $(\\frac {kg} {m^2})$ using the ratio of height to weight, ideally 18.5 to 24.9\n",
    "- **children:** Number of children covered by health insurance / Number of dependents\n",
    "- **smoker:** Smoking\n",
    "- **region:** The beneficiary's residential area in the US, northeast, southeast, southwest, northwest"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "998153c1",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "bc65065c",
   "metadata": {},
   "outputs": [],
   "source": [
    "url =\"https://raw.githubusercontent.com/stedy/Machine-Learning-with-R-datasets/master/insurance.csv\"\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')\n",
    "from sklearn.preprocessing import StandardScaler, OneHotEncoder\n",
    "from sklearn.linear_model import LinearRegression\n",
    "from sklearn.pipeline import Pipeline\n",
    "from sklearn.model_selection import cross_val_score\n",
    "from sklearn.compose import ColumnTransformer\n",
    "from sklearn.model_selection import train_test_split"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "246d180e",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv(url)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "38b287df",
   "metadata": {},
   "source": [
    "## Basic Understanding of Dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "8bfeddba",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
       "    .dataframe thead th {\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>age</th>\n",
       "      <th>sex</th>\n",
       "      <th>bmi</th>\n",
       "      <th>children</th>\n",
       "      <th>smoker</th>\n",
       "      <th>region</th>\n",
       "      <th>charges</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>19</td>\n",
       "      <td>female</td>\n",
       "      <td>27.90</td>\n",
       "      <td>0</td>\n",
       "      <td>yes</td>\n",
       "      <td>southwest</td>\n",
       "      <td>16884.9240</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>18</td>\n",
       "      <td>male</td>\n",
       "      <td>33.77</td>\n",
       "      <td>1</td>\n",
       "      <td>no</td>\n",
       "      <td>southeast</td>\n",
       "      <td>1725.5523</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   age     sex    bmi  children smoker     region     charges\n",
       "0   19  female  27.90         0    yes  southwest  16884.9240\n",
       "1   18    male  33.77         1     no  southeast   1725.5523"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head(2)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "3bedf92a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>age</th>\n",
       "      <th>sex</th>\n",
       "      <th>bmi</th>\n",
       "      <th>children</th>\n",
       "      <th>smoker</th>\n",
       "      <th>region</th>\n",
       "      <th>charges</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1336</th>\n",
       "      <td>21</td>\n",
       "      <td>female</td>\n",
       "      <td>25.80</td>\n",
       "      <td>0</td>\n",
       "      <td>no</td>\n",
       "      <td>southwest</td>\n",
       "      <td>2007.9450</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1337</th>\n",
       "      <td>61</td>\n",
       "      <td>female</td>\n",
       "      <td>29.07</td>\n",
       "      <td>0</td>\n",
       "      <td>yes</td>\n",
       "      <td>northwest</td>\n",
       "      <td>29141.3603</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      ],
      "text/plain": [
       "      age     sex    bmi  children smoker     region     charges\n",
       "1336   21  female  25.80         0     no  southwest   2007.9450\n",
       "1337   61  female  29.07         0    yes  northwest  29141.3603"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.tail(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "999eaca7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1338, 7)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# number of row/columns\n",
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "4ab1c777",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "age           int64\n",
       "sex          object\n",
       "bmi         float64\n",
       "children      int64\n",
       "smoker       object\n",
       "region       object\n",
       "charges     float64\n",
       "dtype: object"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "fdc7fa34",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "age         0\n",
       "sex         0\n",
       "bmi         0\n",
       "children    0\n",
       "smoker      0\n",
       "region      0\n",
       "charges     0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# check missing values\n",
    "df.isna().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "06a18564",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>age</th>\n",
       "      <th>bmi</th>\n",
       "      <th>children</th>\n",
       "      <th>charges</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>1338.000000</td>\n",
       "      <td>1338.000000</td>\n",
       "      <td>1338.000000</td>\n",
       "      <td>1338.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>39.207025</td>\n",
       "      <td>30.663397</td>\n",
       "      <td>1.094918</td>\n",
       "      <td>13270.422265</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>14.049960</td>\n",
       "      <td>6.098187</td>\n",
       "      <td>1.205493</td>\n",
       "      <td>12110.011237</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>18.000000</td>\n",
       "      <td>15.960000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1121.873900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>27.000000</td>\n",
       "      <td>26.296250</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>4740.287150</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>39.000000</td>\n",
       "      <td>30.400000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>9382.033000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>51.000000</td>\n",
       "      <td>34.693750</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>16639.912515</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>64.000000</td>\n",
       "      <td>53.130000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>63770.428010</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               age          bmi     children       charges\n",
       "count  1338.000000  1338.000000  1338.000000   1338.000000\n",
       "mean     39.207025    30.663397     1.094918  13270.422265\n",
       "std      14.049960     6.098187     1.205493  12110.011237\n",
       "min      18.000000    15.960000     0.000000   1121.873900\n",
       "25%      27.000000    26.296250     0.000000   4740.287150\n",
       "50%      39.000000    30.400000     1.000000   9382.033000\n",
       "75%      51.000000    34.693750     2.000000  16639.912515\n",
       "max      64.000000    53.130000     5.000000  63770.428010"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "a9c4b8cb",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 1338 entries, 0 to 1337\n",
      "Data columns (total 7 columns):\n",
      " #   Column    Non-Null Count  Dtype  \n",
      "---  ------    --------------  -----  \n",
      " 0   age       1338 non-null   int64  \n",
      " 1   sex       1338 non-null   object \n",
      " 2   bmi       1338 non-null   float64\n",
      " 3   children  1338 non-null   int64  \n",
      " 4   smoker    1338 non-null   object \n",
      " 5   region    1338 non-null   object \n",
      " 6   charges   1338 non-null   float64\n",
      "dtypes: float64(2), int64(2), object(3)\n",
      "memory usage: 73.3+ KB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "d1b23125",
   "metadata": {},
   "outputs": [],
   "source": [
    "# separate categorical columns & Numerical columns , features and label variable\n",
    "\n",
    "cat_columns = df.select_dtypes(exclude=np.number).columns.to_list()\n",
    "num_columns = df.select_dtypes(include=np.number).columns.to_list()\n",
    "features = df.drop(['charges'], axis=1).columns.to_list()\n",
    "label = 'charges'"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3e9d541a",
   "metadata": {},
   "source": [
    "# Expolatory Data Analysis"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ed0089b2",
   "metadata": {},
   "source": [
    "### Uni-variate Analysis"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6c3c0237",
   "metadata": {},
   "source": [
    "**Plot `count-plot` for all the categorical columns**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "b819a1ae",
   "metadata": {},
   "outputs": [],
   "source": [
    "# for i in range(len(cat_columns)):\n",
    "#     plt.subplot(2,2,i+1)\n",
    "#     sns.countplot(cat_columns[i], data=df)\n",
    "#     plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "e5426bae",
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 800x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set_style('darkgrid')\n",
    "for col in cat_columns:\n",
    "#     print(col)\n",
    "    plt.figure(figsize=(8,8))\n",
    "    sns.countplot(x=col, data=df)\n",
    "    plt.title(f\"Distribution of {col}\", fontsize=20)\n",
    "    plt.xlabel(f\"{col}\", fontsize=15)\n",
    "    plt.ylabel(\"Frequency\", fontsize=15)\n",
    "    plt.xticks(rotation=50)\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d2ac61b4",
   "metadata": {},
   "source": [
    "**Plot `histogram` for all the Numerical Columns**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "784cad6a",
   "metadata": {},
   "outputs": [],
   "source": [
    "# sns.set_style('darkgrid')\n",
    "# for col in num_columns:\n",
    "# #     print(col)\n",
    "#     plt.figure(figsize=(8,8))\n",
    "#     sns.histplot(df[col])\n",
    "#     plt.title(f\"Histogram of {col}\", fontsize=20)\n",
    "#     plt.xlabel(f\"{col}\", fontsize=15)\n",
    "#     plt.ylabel(\"Frequency\", fontsize=15)\n",
    "#     plt.xticks(rotation=50)\n",
    "#     plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c4ba9fad",
   "metadata": {},
   "source": [
    "**Plot `boxplot` for all the Numerical Columns**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "13998fd9",
   "metadata": {},
   "outputs": [],
   "source": [
    "# sns.set_style('darkgrid')\n",
    "# for col in num_columns:\n",
    "# #     print(col)\n",
    "#     plt.figure(figsize=(8,8))\n",
    "#     sns.boxplot(y = df[col])\n",
    "#     plt.title(f\"Boxplot of {col}\", fontsize=20)\n",
    "#     plt.xlabel(f\"{col}\", fontsize=15)\n",
    "#     plt.ylabel(\"Frequency\", fontsize=15)\n",
    "#     plt.xticks(rotation=50)\n",
    "#     plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6c050f78",
   "metadata": {},
   "source": [
    "**Plot `Scatter plot` for Numerical-Categorical columns**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "979dfc85",
   "metadata": {},
   "outputs": [],
   "source": [
    "# for num in num_columns:\n",
    "#     for cat in cat_columns:\n",
    "#         sns.scatterplot(x=num, y=cat, data=df)\n",
    "#         plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8c060ddd",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "5542464b",
   "metadata": {},
   "source": [
    "**Plot `Scatter-Plot` for Numerical-Target columns**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "5533301b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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ZgpycHKSkpNT7fvjc1OaLzw35JtYQU6sTEBCAv//97xg3bhy+++47fPvtt/jxxx9dJlhZrVZ88cUX2LJlCxYsWOBSB/zrr7/K3/w8rU984Tfg8PBw/POf/6zzfJvNhp9//hllZWXy68bi3N0tKioKbdu2lcPxhfr27QugJrwfPHiw1mYVnTt3dvlB4lJER0fXqjF0iomJQVxcHH799Vf88MMPuOeeezxey1kvGBsbi/j4+DrPGzZsGBYsWAAA+OmnnxplE46ffvoJQM3kPHe1lk4333wzvv76a1RVVeHgwYNISEi47K/9448/AgAGDx5c6wcLp8TERGzatKnOayQlJbk9Hh0dLf/5/OekY8eOdYYooCYY7N27V/4BxdPzW1ftfl5eHgBg6NChdS5zmJqaCpVKJX8dp/NrR+Pj4+t8xnv06IGAgADY7Xbs3LkTiYmJAICBAwfi22+/xcqVK3Hy5EkMHz4cycnJaNOmDQAgLi4OcXFxdX6muowcORI5OTkoLi7GgQMHXD67s45erVYjOTlZPj5gwAAANX06evRojB07FkOHDkXPnj3lH6QbWjsM8LlpSc8N+R4GYmq1lEolbrjhBtxwww0AgOPHj2Pbtm3Izc3F5s2bYTAYYLFY8Mwzz6BLly7yN8CTJ0/K1+jWrdslfe2jR49i27Zt+P3333H48GEcOnRInhXdFJzbrZaXl7sd0XbnxIkTtYKju5GhhrrYPw5du3bFr7/+ihMnTlz0Ws5zPM1sB4B27dohIiIClZWVOHbsWP1vtg7V1dXyxMKLfe3z248fP94ogdj5DF7q8wfA7UgYAJdAcf7EqfP99ttv2LFjB4qLi+Xn948//qj3D3HuniOLxSKvAuPpcwUEBKBr1644ePCgy/HzRyXHjBlTr/s4fvy4/OdnnnkGBQUFKC8vx9dff42vv/4aAQEB6NOnD1JTU/G3v/2t1mou9TF48GBcccUVOHHiBD799FOXUOccNR4+fDgUij//ue3Tpw/GjRuH9957D6WlpVi8eDEWL14sB+ehQ4fi2muvbfByfXxuWs5zQ76HgZj8RocOHZCeno709HRUVFTg+eefl0sH3njjDbz++usA4DILuaGzhisqKjBz5kx8+eWXLrPHASA0NBRDhgxBaWmp/GvUxlJdXd0o73FXktBQ4eHhHtuVSiUAyIHTE+c91icYqFQqVFZWwmAw1OMuPTt/FOliX/v8Z6Su0aeGcj6Dzr66FJ5Gtety9OhRTJ8+XR5pPF9kZCQGDx6MAwcOuIQMd9w9R+eXBlzsc7nr88t9xmNjY7Fx40a88cYb2LRpE8rKymC327Fnzx7s2bMHr776KgYMGID58+c3KFCKoohbbrkFb731Fj777DNMnToVgiBg7969cknW+atLOM2YMQMDBw7Ee++9h507d8LhcKCsrAyffPIJPvnkE4SGhmLy5MmYOHFive+Fz03LeW7I9zAQU6uxadMm7Nu3DyEhIcjMzPR4bmRkJBYuXIiioiIUFhZi7969ctv531Qv/PWbJ1arFRMnTpRrWAcNGoRrrrkG8fHxuPLKK9GtWzeIooipU6c2eiB2/kORmJjodsk3b3LW3NXFGVjrGok6n/Pvoj4h1xlGG2Ppo/OfgYt97YaE5/pSqVSoqqqq13rajaWyshLjxo3D0aNHIYoi/u///g8DBgxAXFwcunfvjpiYGADA2LFjLxps3Dn/7+Viferu/7vzw9DevXsv6Yc3jUaDGTNmYPr06SgsLER+fj6+//577N69GzabDTt27MD48ePx2WefNeg5GjlyJN566y0cPXoUu3fvxtVXXy2XS3Tv3r3OEp4bb7wRN954I06fPi3fS35+Pk6ePImzZ89i0aJFCAoKwrhx4+p1H3xuWtZzQ76FgZhajc8//xxffPEFQkJC8OCDD9Zr7dyBAweisLDQ5R+QK664Qv5zSUlJnb8OO3DgAL788kvExMRg+PDh+Oqrr+Qw/Mwzz9Q5wcTdJJrL1bFjR/zyyy8uddLuSJLkdrJfY7rYP3rFxcUAUK91ezt27Iiff/4Zv/32m8fzTp48KY/qNMZ6wGFhYXIJxsW+tk6nc7nfxtChQwdUVVXVWgP7Qv/+97+h0Wjwl7/8pc61petr1apV8vPzyiuvyKVGF7rU5zciIgKRkZGoqKhwO5nVSZIkt5/7/L49cuSIx1KWiz3noigiMTERiYmJeOSRR3D69Gk8//zzWL9+PY4fP46vvvrKZRLcxcTFxSEhIQH79+/Hl19+iaSkJJeJuRfTtm1b3HLLLbjlllsgSRLy8/Px+OOP48yZM3jvvffqHYj53LSs54Z8C1eZoFajf//+AGpGEdatW1ev9zi/gZ5f99qjRw95pO+7776r870bNmzA66+/jnnz5kGhUGD37t1y25133un2PUajEXv27AFQdx1eXTx9o3ZO0tHr9S4zpC/05ptvYsCAAbj11lsv+o/mpfrtt9/kmuYLFRcX4/fffwfgecKik/NzFRcX11oY/3zO8AHUPSmoIQRBkJ+nzZs3w2q11nnu559/DgDy7nWNwfkZfvrppzrrzouKivDmm29i/vz5Dd79zh3n8xsVFVVnqDlx4gT++OMPAA1/fgHIky23bt1aq6TIafv27W5LT5zPAoBaG6Wcb9euXUhMTMSNN94oPxd79+7F2LFjMWjQIBQVFdV6T9u2bTF9+nT59fnzCOrLGYS2bNki71ApCILLhF2nefPm4cYbb3S7eokgCEhJSZGv15B74XPT8p4b8h0MxNRqjBw5Up75+9xzz8kzk+uydetWbN68GQBw1113yccVCoX8j1FOTk6tSRpAzc5N//vf/wDU/NpToVC47L50/qihk8PhwJw5c+SRTHchyznxxlObu/b09HR5RHzu3Lluf3V4+PBhLF++HFVVVbBYLPKvMhubJElYtGhRrX+4bDYb5s2bB6CmZGXo0KEXvVZ6err8K87Zs2e7/Ue+pKRErv+Oj4+XJ0c6eepTT+644w4ANTtS/fvf/3Z7ztdffy3/I+tuW9pLNXr0aAA1v47Ozs52e87ixYsB1JRp/PWvf73sr+l8fs+cOSNPYjqf2WxGVlaW/Pfa0P4E/uzTI0eOuGxhfP7XeOGFF9y+t2/fvujZsycA4K233pID1vlMJhOee+45mM1mHD16VF5VpUOHDti7d6884urOzz//LP/5UrZMHjFiBBQKBf744w/897//BVDzGyh3v7FwOBz4448/sGXLFrejnpIkyWG1IffC56Y2X39uyHcwEFOrERkZiX//+98IDAyE0WjExIkT8cgjj2DTpk34448/cObMGRw7dgxbt27FU089hYcffhgOhwNDhw6tNYqTmZkJtVoNi8WC+++/H6tWrcLx48dx8uRJbNq0CePGjUNlZaVLvfL564U6t/s9deqU/Ku0e++912Xk2t1ohnNN4x07duDQoUMua3Y6wz5QMypZUVEhT6LRaDT4xz/+AQAoLCzEHXfcgS+//BJ6vR7Hjh1DTk4Oxo0bh4qKCgiCIK8H3FS++OILPPzww9i7dy8qKiqwa9cuPPDAA/IPKU8//XS9tq1u27atvD7ozp07MXbsWHz77bc4ffo0Tpw4gY8++gh33XUXKioqEBgYiOeff77W53L26TfffIPTp0/X+1e3aWlpSEtLAwAsW7YMjz32GAoKClBRUYHff/8dL7/8srzMXkxMTJ1rFV+KxMREpKenAwCWLl2KrKws/PzzzygvL0dBQQGmTJmCL7/8EgDw6KOPNsoW4M7n1+FwYNKkSfjhhx9QVlaGkpISfPzxxxgzZozLD5mXMoEwJSVF/kHoueeew3PPPYfffvsN5eXl+OGHH3DvvfeisLBQPv/Cv8uZM2dCoVCgsrISd955J95//30cOXIEZWVlyMvLw/jx4+XfkEycOFEOo9HR0fIPuR9++CGmTZuGvXv34vTp0ygpKcHatWvlpcM6dOhQrx/WLqTRaOSl1ZxbGNf16/Nx48YhKCgIBoMBEyZMQE5ODg4fPozTp0+joKAATzzxhLxc2N13313ve+BzU6MlPTfkOwSprt8/ELVQP/zwA2bNmuWx3gyo+aY5ZswYzJgxw+3s5QMHDmDSpEk4deqU2/dHRERg8eLFuOaaa+Rjjz/+uNsF+p3atWuHtLQ0fPDBBwBqSjLat28vt3/wwQeYNWuWy3u++eYbdO7cGUBNKYaz5AKombjnHLmQJAmLFy/G66+/XuevFQMDAzFr1izcfvvtLsfHjRuH7du3u1yvoZ555hnk5OQgOjoa3bt3dzvjXBAEPPnkk7Vmzm/btg333XcfAODdd9+ttY5xdnY2srOz6/xcbdu2xUsvvYS//OUvtdou/Dvp1KmT/JuBizl79iymTp3q8fyEhAS88sortUbcz/9M5/8d1pfJZMLUqVM9bmAybtw4zJgxQ369bt06TJs2zePXPHLkCK677joAwMKFC3HbbbcBqJkMmZGRIa+/7M6VV16JXr16YePGjVCpVPjpp5/kUfFXX31VHpX09Kt450YOdW2gctttt2HTpk0wmUz45z//iYcfftil/ZtvvsHUqVM9TrC6/fbb8eyzz7r81qaqqgoPPPCAy/8/F9JoNHj77bfRo0ePOs/x5NNPP5V/MAoODkZ+fn6dq6588sknmD59uscR07vuugvPPvtsg+6Bz03Le27IN3BSHbU611xzDTZu3IivvvoKubm5KCwsxOnTp1FVVYXQ0FBcccUVuOaaa3DLLbd4XDO2V69e+Oyzz/Duu+/i66+/xh9//AGLxYKOHTvir3/9KyZOnOgyAQ8AXnrpJQwePBg5OTn49ddfYTabERYWhtjYWKSlpeHOO+/E2bNn8dFHH8HhcMgjx0533HEH9Ho91q5di9LSUkRGRuLEiRPyP1D/+c9/MHfuXPz000+wWCwu39wFQcA//vEP3HjjjXj//fexfft2nDx5Eg6HAx07dsSQIUNw3333XXRd3csVFBSEt99+G++88w7WrVuHI0eOQKPRICkpCRkZGZe0Tm9mZiauv/56vPvuu9i+fTtOnToFlUqFmJgY3HDDDRgzZkydayg7R4e2bt0q95fZbK7XbPPQ0FC8/vrr+Prrr7Fu3Tp5xDsqKgparRYjR47EzTffXK8JnA2lVCqRnZ2Nr7/+Gv/73//kX92Gh4ejX79+GDdunMtmD5crKCgIy5Ytw4oVK7Bp0yYUFxfDarUiIiICWq0WN910E0aPHo19+/bJOwjm5eU1eFQsPDwcH3zwAVauXIkNGzaguLgYkiQhPj4ed999N0aOHIkNGzYAcL8M13XXXYcvv/wS7733Hr777juUlJTAbDYjKioKSUlJuPPOO932S3h4OFauXIk1a9bgs88+w6+//ip/T+jSpQuGDh2K++6776LLBnpy3XXXISwsDNXV1Rg6dKjHa916663o2bMn3nvvPWzfvh3Hjx+H3W6HRqPB1Vdfjdtvv93lh+364nPT8p4b8g0cISaiRuEcIW7ICCzRhcxms1zD+fzzz8slAESe8Lmhy8URYiIi8op33nkHf/zxBwYOHIjhw4e7Pef8WtArr7zSW7dGPozPDXkDJ9UREZFXVFVVYfXq1Zg5c6bLjpBOdrtdXjGkbdu2Ltsgk//ic0PewEBMRERecfPNNyMgIADV1dWYMGECtmzZghMnTuDkyZP44Ycf8OCDD8orEkydOtVlqUHyX3xuyBtYQ0xEjYI1xFQfq1atwrx582C32922i6KIyZMnX3T7dfIvfG6oqfHHKCIi8pq7774bV199Nd577z389NNPOH78OBQKBdq3b4+BAwfizjvvRO/evZv7NsnH8LmhpsYRYiIiIiLya6whJiIiIiK/xkBMRERERH6NNcSXoaysCpdTcCIIgFodftnXIc/Yz97BfvYO9rN3sJ+9g/3sHf7az87PXR8MxJdBktAoD1ZjXYc8Yz97B/vZO9jP3sF+9g72s3ewn+vGkgkiIiIi8msMxERERETk1xiIiYiIiMivMRATERERkV9jICYiIiIiv8ZATERERER+jYGYiIiIiPwaAzERERER+TUGYiIiIiLyawzEREREROTXGIiJiIiIyK8xEBMRERGRX2MgJiIiIiK/xkBMRERERH6NgZiIiIiI/BoDMRERERH5NQZiIiIiIvJrDMRERERE5NcYiImIiIjIrzEQExEREZFfYyAmIiIiIr/GQExERERETcomCii3Szh81opyuwSbKDT3LblQNPcNEBEREVHrZRQEZOXsQ66uTD6WGqfB/JEJUElSM97ZnzhCTERERERNwiYKyFrvGoYBILdIj6yP9/vMSDEDMRERERE1iSqro1YYdsot0qPK6vDyHbnHQExERERETaLKZLusdm9hICYiIiKiJhGu9Dxd7WLt3sJATERERERNIjxQRGqcxm1bapwG4YG+EUV94y6IiIiIqNVROCTMH5lQKxSnxmmwYGRvKBy+scqEb4xTExEREVGrpJIkLEpPQJXVgSqTDeFKBcIDRSgcvjGhDmAgJiIiIqImpnBIiAoQEBUaWHPAR0aGnVgyQUREREQN5uu7zzUER4iJiIiIqEFawu5zDcERYiIiIiKqt5ay+1xDMBATERERUb21lN3nGoKBmIiIiIjqraXsPtcQDMREREREVG8tZfe5hmAgJiIiIqJ6aym7zzVEy7tjIiIiImo2LWX3uYZoeWPaRERERNSsWsLucw3BQExEREREDebru881BEsmiIiIiMivMRATERERkV9jICYiIiIiv8ZATERERER+jYGYiIiIiPwaAzERERER+TUGYiIiIiLyawzEREREROTXGIiJiIiIyK8xEBMRERGRX2MgJiIiIiK/xkBMRERERH6NgZiIiIiI/FqzBmKLxYJnn30WAwcOxF/+8hf8+9//hiRJAIADBw7g9ttvR2JiIkaPHo19+/a5vHfjxo24/vrrkZiYiMmTJ+P06dNymyRJePHFFzFkyBAMGjQIixYtgsPhkNvLy8vx6KOPIikpCWlpafj444+984GJiIiIvMgmCjhtk7D7cDlO2yTYRKG5b8knNWsgnjdvHr7//nu8/fbbeOmll/DRRx/hww8/hMFgwIMPPogBAwZg3bp1SEpKwqRJk2AwGAAAe/fuRVZWFjIzM/Hhhx+isrIS06ZNk6+7fPlybNy4EdnZ2Vi8eDE2bNiA5cuXy+3Tpk1DVVUVPvzwQzz88MOYMWMG9u7d6/XPT0RERNRUjIKAp3L24YaXczHqte9xw8u5eGr9fhgFhuILKZrrC1dUVGDt2rVYvnw5+vbtCwDIyMhAQUEBFAoFgoOD8dRTT0EQBGRlZeG7777D559/jttuuw3vv/8+hg0bhvT0dADAokWLMHToUJSUlCAmJgbvvvsupkyZggEDBgAApk6dildeeQUTJ07E4cOHsWXLFnzzzTfo3Lkz4uPjsWfPHqxatUq+DyIiIqKWzCYKyMrZh1xdmcvx3CI9sj7ej0XpCVA4pGa6O9/TbIF4586dCAsLw6BBg+RjDz74IADgX//6F/r37w/h3E8wgiDg6quvxp49e3DbbbehoKAAf//73+X3dejQAR07dkRBQQGCgoJw/PhxDBw4UG7v378/jh49ilOnTqGgoAAdOnRA586dXdrffPPNBn+Gy/0By/l+/qDWtNjP3sF+9g72s3ewn72D/dx0qqyOWmHYKbdIjyqrA20VrbvjG/JcNVsgLikpQadOnbB+/Xq88cYbsFqtuO222/Dwww+jtLQUWq3W5Xy1Wo2ioiIAwKlTp9CuXbta7SdOnEBpaSkAuLRrNBoAkNvdvffkyZMN/gxqdXiD39OU1yHP2M/ewX72Dvazd7CfvYP93PhKDpd7bDdY7Ii/IspLd+P7mi0QGwwGHDp0CB988AEWLlyI0tJSzJw5EyqVCkajEUFBQS7nBwUFwWKxAABMJlOd7SaTSX59fhtQM4nvYtduiLKyKkiX8dsGQaj5JnC51yHP2M/ewX72Dvazd7CfvYP93HRCgwI8tocEBUCvr/LS3TQP5/NVH80WiBUKBaqrq/HSSy+hU6dOAIBjx45h9erV6Nq1a62AarFYoFQqAQDBwcFu21UqlUv4DQ4Olv8MACqVqs73Oq/dEJKERvkfuLGuQ56xn72D/ewd7GfvYD97B/u58YUHikiN0yC3SF+rLTVOg/BAERJriGXNtspEdHQ0goOD5TAMALGxsTh+/Djat28Pvd71L1Cv18ulDnW1R0dHo3379gAgl06c/2dne13vJSIiImoNFA4J80cmIDVO43I8NU6DBSN7c0LdBZpthDgxMRFmsxnFxcWIjY0FAPz+++/o1KkTEhMT8dZbb0GSJAiCAEmSsGvXLjz00EPye3fu3InbbrsNAHD8+HEcP34ciYmJaN++PTp27IidO3fKE+d27tyJjh07ol27dujXrx+OHj2KEydO4IorrpDb+/Xr5/1OICIiImoiKknCovQEVFkdMFjsCAkKQHigCMV5ezNQjWYbIb7yyitx7bXXYtq0aTh48CByc3OxdOlSjB07FjfddBMqKysxf/586HQ6zJ8/H0ajEcOGDQMAjB07Fh9//DHWrFmDgwcP4qmnnsK1116LmJgYuf3FF1/Etm3bsG3bNrz00ku47777AAAxMTFISUnBk08+iYMHD2LNmjXYuHEj7rnnnubqCiIiIqImoXBIaKsQ0K9LFNoqBI4M10GQpOar2qmqqsLcuXPx1VdfQaVS4e6778bkyZMhCAL27t2LWbNm4bfffsNVV12FZ599Fr169ZLfu27dOixevBhnzpxBcnIy5s6di6iomtmSdrsdixYtwrp16xAQEIAxY8bgiSeekJdxKysrQ1ZWFr7//ntER0fjsccew4gRIxp8/3r95U+q02jCL/s65Bn72TvYz97BfvYO9rN3sJ+9w1/72fm563Vucwbilo6BuGVgP3sH+9k72M/ewX72Dvazd/hrPzckEDfr1s1ERERERM2NgZiIiIioBbCJAsrtEg6ftaLcLsEmtu6d5ryp2VaZICIiIqL6MQoCsnL2uWzHnBqnwfyRCVD5Ux1EE+EIMREREZEPs4kCsta7hmEAyC3SI+vj/RwpbgQMxEREREQ+rMrqqBWGnXKL9Kiycl3hy8VATEREROTDqky2y2qni2MgJiIiIvJh4UrPU74u1k4Xx0BMRERE5MPCA0WkxmnctqXGaRAeyDh3udiDRERERD5M4ZAwf2RCrVCcGqfBgpG9uR1zI+AYOxEREZGPU0kSFqUnoMrqQJXJhnClAuGBIhQOTqhrDAzERERERC2AwiEhKkBAVGhgzQGODDcalkwQERERkV9jICYiIiIiv8ZATERERER+jYGYiIiIiPwaAzERERER+TUGYiIiIiLyawzEREREROTXGIiJiIiIyK8xEBMRERGRX2MgJiIiIiK/xkBMRERERH6NgZiIiIiI/BoDMRERERH5NQZiIiIiIvJrDMRERERE5NcYiImIiIjIrzEQExEREZFfYyAmIiIiIr/GQExEREREfo2BmIiIiIj8GgMxEREREfk1BmIiIiKierKJAsrtEg6ftaLcLsEmCs19S9QIFM19A0REREQtgVEQkJWzD7m6MvlYapwG80cmQCVJzXhndLk4QkxERER0ETZRQNZ61zAMALlFemR9vJ8jxS0cAzERERHRRVRZHbXCsFNukR5VVoeX74gaEwMxERER0UVUmWyX1U6+jYGYiIiI6CLClZ6nXV2snXwbAzERERHRRYQHikiN07htS43TIDyQkaol498eERER0UUoHBLmj0yoFYpT4zRYMLI3FA6uMtGScXyfiIiIqB5UkoRF6QmosjpQZbIhXKlAeKAIhYMT6lo6BmIiIiKielI4JEQFCIgKDaw5wJHhVoElE0RERETk1xiIiYiIiMivMRATERERkV9jICYiIiIiv8ZATERERER+jYGYiIiIiPwaAzERERER+TUGYiIiIiLyawzEREREROTXGIiJiIiIyK8xEBMRERGRX2MgJiIiIiK/xkBMRERERH6NgZiIiIhaFZsooNwu4fBZK8rtEmyi0Ny3RD5O0dw3QERERNRYjIKArJx9yNWVycdS4zSYPzIBKklqxjsjX8YRYiIiImoVbKKArPWuYRgAcov0yPp4P0eKqU4MxERERNQqVFkdtcKwU26RHlVWh5fviFoKBmIiIiJqFapMtstqJ//FQExEREStQrjS89Soi7WT/2IgJiIiolYhPFBEapzGbVtqnAbhgYw95B6fDCIiImoVFA4J80cm1ArFqXEaLBjZGwoHV5kg9/i7AyIiImo1VJKERekJqLI6UGWyIVypQHigCIWDE+qobgzERERE1KooHBKiAgREhQbWHODIMF0ESyaIiIiIyK8xEBMRERGRX2MgJiIiIp9mEwWU2yUcPmtFuV3ijnPU6FhDTERERD7LKAjIynHdjjk1ToP5IxOgklgbTI2DI8RERETkk2yigKz1+2ptx5xbpEfWx/s5UkyNhoGYiIiIfFKV1VErDDvlFulRZeVSatQ4GIiJiIjIJ1WZbJfVTlRfDMRERETkk8KVnqc6XaydqL4YiImIiMgnhQeKtbZhdkqN0yA8kDGGGgefJCIiIvJJCoeE+SMTaoXi1DgNFozsDQV3oKNGwt81EBERkc9SSRIWpSegyupAlcmGcKUC4YEiFA5OqKPGw0BMREREPk3hkBAVICAqNLDmAEeGqZE1a8nEV199hauuusrlvylTpgAADhw4gNtvvx2JiYkYPXo09u3b5/LejRs34vrrr0diYiImT56M06dPy22SJOHFF1/EkCFDMGjQICxatAiO836SLC8vx6OPPoqkpCSkpaXh448/9s4HJiIiIiKf06yBWKfTYejQocjLy5P/mzdvHgwGAx588EEMGDAA69atQ1JSEiZNmgSDwQAA2Lt3L7KyspCZmYkPP/wQlZWVmDZtmnzd5cuXY+PGjcjOzsbixYuxYcMGLF++XG6fNm0aqqqq8OGHH+Lhhx/GjBkzsHfvXq9/fiIiIiJqfs0aiH/77TfEx8cjOjpa/i8iIgKbNm1CcHAwnnrqKXTv3h1ZWVkIDQ3F559/DgB4//33MWzYMKSnp6NHjx5YtGgRtm7dipKSEgDAu+++iylTpmDAgAEYMmQIpk6dipUrVwIADh8+jC1btmDevHmIj4/H7bffjltvvRWrVq1qtn4gIiIioubT7IG4W7dutY4XFBSgf//+EISaLRkFQcDVV1+NPXv2yO0DBgyQz+/QoQM6duyIgoICnDx5EsePH8fAgQPl9v79++Po0aM4deoUCgoK0KFDB3Tu3Nmlfffu3U3zIYmIiIjIpzXbpDpJklBcXIy8vDy8+eabsNvtuOmmmzBlyhSUlpZCq9W6nK9Wq1FUVAQAOHXqFNq1a1er/cSJEygtLQUAl3aNpma5Fme7u/eePHmywZ9BuMwt1J3vv9zrkGfsZ+9gP3sH+9k72M/ewX72Dn/t54Z83mYLxMeOHYPRaERQUBBefvllHDlyBPPmzYPJZJKPny8oKAgWiwUAYDKZ6mw3mUzy6/PbAMBisVz02g2hVoc3+D1NeR3yjP3sHexn72A/ewf7ufGcMVigr7ag0mRFhCoQmtAgtAmp+feY/ewd7Oe6NVsg7tSpE7Zt24Y2bdpAEAT07NkTDocDTz75JAYNGlQroFosFiiVSgBAcHCw23aVSuUSfoODg+U/A4BKparzvc5rN0RZWRWky1j5RRBqHs7LvQ55xn72Dvazd7CfvYP93LiMEDB9/T7k6srkY6lxGixIT0CMOoz93MT89Xl2fu76aNZ1iCMjI11ed+/eHWazGdHR0dDr9S5ter1eLnVo37692/bo6Gi0b98eAFBaWirXCTvLKJztdb23oSQJjfJgNdZ1yDP2s3ewn72D/ewd7OfLZxMFTM9xDcMAkFukx/T1+5E9Non97CXs57o126S63NxcDB48GEajUT72888/IzIyUp7kJp37W5MkCbt27UJiYiIAIDExETt37pTfd/z4cRw/fhyJiYlo3749Onbs6NK+c+dOdOzYEe3atUO/fv1w9OhRnDhxwqW9X79+TfyJiYiI/E+V1VErDDvlFumhr254ySJRY2u2QJyUlITg4GDMmDEDv//+O7Zu3YpFixbhgQcewE033YTKykrMnz8fOp0O8+fPh9FoxLBhwwAAY8eOxccff4w1a9bg4MGDeOqpp3DttdciJiZGbn/xxRexbds2bNu2DS+99BLuu+8+AEBMTAxSUlLw5JNP4uDBg1izZg02btyIe+65p7m6goiIqNWqMtku0m710p0Q1a3ZSibCwsLw9ttvY8GCBRg9ejRCQ0Nx11134YEHHoAgCHjzzTcxa9YsfPTRR7jqqquwdOlShISEAKgJ03PmzMHixYtx5swZJCcnY+7cufK1J06ciLKyMmRmZiIgIABjxozB+PHj5fZFixYhKysLd9xxB6Kjo7FgwQL07dvX211ARETUKtlEAVVWB6pMNoQGe44a4cpAAPw9PjUvQZJYTXKp9PrLn1Sn0YRf9nXIM/azd7CfvYP97B3s50vjEAUYJQH/Wl8ol0lkpmmx53A58tyUTaTGaZA9NglWg5n93IT89Xl2fu76aNaNOYiIiKh1MAkCTpvtyDovDAPAsrxijE+ORYpW7XJ+zSoTveWl14iaU7OuMkFEREQtn0MUUG2xA4KA/AtGgg0WO6as3o2MlFjMGN4LZ802hCsVCA8UESg5mumOiVxxhJiIiIguiwkC5n36M4r1Z922Gyx2ZG/W4azZhi6hgYgKEKBw+NHv7snnMRATERHRJTOJIqbnFCJfV4ZghedYEa7kL6bJNzEQExER0SWxiCIqTTa5TGJ3SQWSL6gVdkqN0yA8kLGDfBOfTCIiImowmyig0mJH5XnrDC/LK8aE5NhaoThFq8b89N4skyCfxd9dEBERUYMYBQFZOfvwyNA4hCkD5OPnT6DLSI6F2eZArCYUYUEBUDo4gY58F0eIiYiIqF5sooDTdglFpWcxIeVKtFEF4lSl2WVJNecEuokrdmDVtkMIZximFoAjxERERHRRzlHh89cYXjiqD/KKSvGvEQmYu3G/y+YbKVo15o/qg2CGYWoBGIiJiIjII5tYOwwDwNxPD2DZ+IFY/PUvmJAci6eH9UC1yY4IpQIRSgVHhqnFYCAmIiIijyqtjlphGKgpj8h45yd8kpkMo9WOapMdkSGBiAgKQBDDMLUgrCEmIiIityyiiDKbhAqDFcvGD0RmmhYhQQEu5xgsduirLbjl1Xy89q0OkUEiwzC1OAzEREREVItRELFVp8fRCiPKzloAAB3bKLHk7qtrheKQoACkxmmwYCSXVqOWiSUTRERE5MIqirDYHPis8LhLqUSyVo3MoVpM+uuV+M9XRfKx8GAFFqUnQMGRYWqhOEJMREREMqMgYKtOj1kb9teqG87XlSF7iw5Dr2oHoCYMP5oWB5UIjgxTi8ZATERERABqaoaz1u9DuwilvB3zhfJ1ZQgQBLx9/wCM6NsRnSOUCGAYphaOgZiIiIhgFAQcKjciV1cGs81z6YPBYkdMlArXdm+LYIllEtTyMRATERH5ObsoIP+3MoiCAAAIVniOBxEqBaICBJZJUKvBQExEROTHbKKACqsD7SKUCFMqkJmmxb5jZ5B83nbM50uN0yAikPGBWheuMkFEROSnjKKIrJxCl8lzKVo1MlJi0bdTJAC41BKnajWYn96bq0lQq8NATERE5IdMbsIwAOSdez2gW1skdYlCRnIsAOCKCCW3Y6ZWi7/zICIi8jM2UUDZWavb7ZiBmlD8t17t0atDBK6IUOJKTSiiGIapFWMgJiIi8iM2UcAZiwMWu+dwW2Wy4ZGVu6AIEBAGCYEMw9SKMRATERH5CaMo4qmcfbjplVwoLzIxzrkdMyfQkT/gU05EROQH3NUM17WSRLJWDYUoYMHI3lxajfwCJ9URERG1clZRRKXJ5hKGt/xyCplDtQBcV5JwbsccGaxgmQT5DQZiIiKiVs7skHCi0uRy7M2tv6Nvp0gM79MBGcmxMNscCFaIOFVlRucIJcMw+RWWTBAREbVSFlGE3ibBYLHXajNY7Ji8aheOnakJytFhwejM7ZjJTzEQExERtUIGQcRTOYUY9kouqkw27C6pqFUzbLDYkb1Zh3fy/4AmLAhtuR0z+SkGYiIiolbGIoqYvr5Qrg1WBAhYlleMCcmxtUJxslaNZ0cmQMVEQH6MNcREREStTJXF7jJRLk+nR/8uUZiyejcyUmJda4YrzQgWBQSwZpj8GAMxERFRK1Npsrq8Xvrd78i+OwnIk5C9WScfT43TYH56bwQxDJOfYyAmIiJqZSKUgS6vDRY7MlfVjA6PT45FuDIQNrsDXaNUDMNEYA0xERFRi2cTBZTbJRw+a0W5XUJYUACu6xHtco5zAt3y/GI4JAkxkQzDRE4cISYiImrBjIKArJx9LptupMZpMG9kbwD78c3BUvl4ilaNeaP6QAUJIsMwkYyBmIiIqIWyibXDMADkFukx4+N9WJjeG0/eaEelyYoIZSDCgwI4KkzkBgMxERFRC1VlddQKw065RXoYrHaoFQLUYUE1BxmGidxiICYiImph7KIAowOwOhx47Z6roQwMwK7D5ViWV+yyK12VyYao0EAPVyIigIGYiIioRTGLIkw2B57dsN9ldDhZq8bisUmYsnq3HIrDlfxnnqg++H8KERFRC2EUReTr9NhYeNxl4w0A8uuMlFhkb9YhNU6D8EAR4FbMRBfFZdeIiIhaAKsoIiunEO0ilLXCsFO+rgxJMZFIjdNgwcjeUDAME9ULAzEREZGPMwkCzljsyNWVwWzzPDEuQhWIRekJUEqcQEdUXyyZICIi8mF2UcDRChMEQQAABCs8j2W1USo4MkzUQBwhJiIi8lFmUUSF1YGzFjsiVIHITNNi37EzSNaq3Z4v1w0TUYNwhJiIiMgHGUQRM3IKXVaSSNGqkZESi76dIgHApZb4z7phlkoQNRQDMRERkY8xiSKm5xTWmjyXd+71gG5tkdQlChnJsQCAKyKUiFQquAsd0SXi71WIiIh8iFUUUVJurHMliTxdGa7r2Q69OkQAAE5VmhHOMEx0WThCTERE5COMgoDTZ62oMFo9nnfWXLPxhiowAKlaNYIZhokuC0eIiYiIfIBNFJC1fh9MVvtFV5I4a7Zh9fbDiIlUMQwTNQIGYiIiomZmEwWcsTgwdnBXRKgCsbukou6VJLQaXKkJ5VrDRI2IJRNERETNyCgIyMrZJ68mkZmmxc/HzmDCuQlz+ResMjFvVG+EOBwAszBRo2EgJiIiaiY20TUMA8CyvGIsHpuE1dsOyStJmG0ORKoC0TFShRBw0w2ixsaSCSIiomZSaXW4hGEAMFjsmLJ6N3p2bIMbE9rDbHMgWCHi0GlDzSgWd6EjanQMxERERM3AIIo4Um5032axI3uzDmfNNRPsOkepcG33tghmzTBRk2AgJiIi8jLnxhsXE6kKRK92oWgbIEDBkWGiJsNATERE5CU2UcBpu4TjlWZMTLkSAOpeTSJOgzZBIoMwkRdwUh0REZEXXLiaBACk9YjGzBEJmLNxv8tqEqlxGiwY2RsKrjFM5BUMxERERE3M3WoSALD5YCkAICM5Vl5NIlgh4kpNKNcYJvIilkwQERE1IZsooOLcphvLxg9EZpoWIUEBcrszFE9csQOPrNyF5fnFCBKF5rpdIr/EEWIiIqImYhBFzMgpdBkZTtaqsXhsEqas3g2DxQ4AMNtqRoNTtGrMH9UHQSyVIPIqBmIiIqImYHIThoE/d57LSIlF9mYdAKBr2xB8+mgKIpQKKBmGibyOgZiIiKiRGUUR1WYbxifHYuzgrlAGBmDX4XIsyyuGwWJHvq4MGee2Zk7WqrH36Bkkd1czDBM1EwZiIiKiRmQWRRyrMGLJFp3HUgmzzYHUOA3mjEyASgACGIaJmg0n1RERETUSsyii2mLHWYsdE1KudJlAl68rw/L8YmSk1IwMx7RVYc6tCQiTJARwrWGiZsURYiIiokZgEGp2n8v3MCrsLJVI1Wqw72glru3eFuDAMFGzYyAmIiK6TBaxdhgG3E+gA4BpN/dARJCCG28Q+QiWTBAREV2mqnOjv+7k68qQFBMpv+4cpYI6OADB3HiDyGcwEBMREV2mSpPVY7tzneHUOA0iAkWIrBkm8iksmSAiIroENlFAldWBKpMN4cpAj+cGK0SkxmmwYGRvlkkQ+SCOEBMRETWQSRRx2mRH2VkrggMDoAgQkKJVuz03VavBlZpQLEpPgJJlEkQ+iYGYiIioAUyiiEqTDZUmG8KVCpysNOG/3/2Geel9aoXiFK0a80b1RhgkKFgmQeSzWDJBRERUTwY3q0mkaNX414gEvP5tEWbdmgCbXUKVyYoIZSDCgwIQxBIJIp/HEWIiIqJ6MNextFqergxzN+7HDQkdYLLaYTDbEBsWBLVCYBgmaiEYiImIiC7CKAgel1bL05WhXUQwqk12hCv5y1eilob/1xIREXlgEUUcKTciQBQ8nldtsiNCqUB4oAiwXpioReEIMRERUR2MEPBMTiHu/u82hAQHeDw3QqlAhFLByXNELRADMRERkRsnK02Yvn4fcs+VSZyqNNe5tFqKVo0IpQJK1gwTtUg+E4gffPBBPPPMM/LrAwcO4Pbbb0diYiJGjx6Nffv2uZy/ceNGXH/99UhMTMTkyZNx+vRpuU2SJLz44osYMmQIBg0ahEWLFsFx3jep8vJyPProo0hKSkJaWho+/vjjpv+ARETUYhgEEb+dqpbDMAA8vXYv/jUiwe3SavNH9WEYJmrBfCIQf/rpp9i6dav82mAw4MEHH8SAAQOwbt06JCUlYdKkSTAYDACAvXv3IisrC5mZmfjwww9RWVmJadOmye9fvnw5Nm7ciOzsbCxevBgbNmzA8uXL5fZp06ahqqoKH374IR5++GHMmDEDe/fu9d4HJiIin2USRUzLKUSF0XU7Zn21Bff890dMSI7FhkeT8dGDQ/DZP1Lx3Kg+CGEYJmrRmj0QV1RUYNGiRejTp498bNOmTQgODsZTTz2F7t27IysrC6Ghofj8888BAO+//z6GDRuG9PR09OjRA4sWLcLWrVtRUlICAHj33XcxZcoUDBgwAEOGDMHUqVOxcuVKAMDhw4exZcsWzJs3D/Hx8bj99ttx6623YtWqVd7/8ERE5FOcm27cM7grurQNQWaaFiFBf9YO66stmLhiB255NR82h4SwwAAEMwwTtXjNHoiff/55jBw5ElqtVj5WUFCA/v37QxBqZvQKgoCrr74ae/bskdsHDBggn9+hQwd07NgRBQUFOHnyJI4fP46BAwfK7f3798fRo0dx6tQpFBQUoEOHDujcubNL++7du5v4kxIRkS9zbrox/NU8PLJyF0a8moc9h8uxeGySSygGgNQ4DbpGqbgVM1Er0azLrv3www/YsWMHNmzYgNmzZ8vHS0tLXQIyAKjVahQVFQEATp06hXbt2tVqP3HiBEpLSwHApV2j0QCA3O7uvSdPnmzw/QueV+Cp9/sv9zrkGfvZO9jP3sF+bhomQcTRciPGDu6KCSlXYtfhcizLK0beuRrijJRYZG/WAagJwwvSeyNYcgD8e7gsfJ69w1/7uSGft9kCsdlsxqxZszBz5kwolUqXNqPRiKCgIJdjQUFBsFgsAACTyVRnu8lkkl+f3wYAFovlotduCLU6vMHvacrrkGfsZ+9gP3sH+7nxHC47i6ycQpcJdMlaNRaPTcKU1buRpyvD08N6oFeHCESqAhETpUKMOrQZ77j14fPsHeznujVbIM7Ozkbv3r2Rmppaqy04OLhWQLVYLHJwrqtdpVK5hN/g4GD5zwCgUqkueu2GKCurgnQZy00KQs3DebnXIc/Yz97BfvYO9nPjMgpirTAMQN6RzjkyXHLaiFXbDmH6zT0RCAl6fVVz3G6rw+fZO/y1n52fuz6aLRB/+umn0Ov1SEpKAvBnaP3iiy8wYsQI6PV6l/P1er1c6tC+fXu37dHR0Wjfvj2AmrILZ52ws4zC2V7XextKktAoD1ZjXYc8Yz97B/vZO9jPl88sijhcbqwVhp3ydWXISI4FAHRtG4I5t/ZGsCggwOEAu75x8Xn2DvZz3ZptUt17772HDRs2YP369Vi/fj3S0tKQlpaG9evXIzExEbt374Z07m9NkiTs2rULiYmJAIDExETs3LlTvtbx48dx/PhxJCYmon379ujYsaNL+86dO9GxY0e0a9cO/fr1w9GjR3HixAmX9n79+nnngxMRUbOziQKqLHacuWBptQuZbQ6kajWIUCoQGgAEcRIdUavUbCPEnTp1cnkdGlpTj9W1a1eo1Wq89NJLmD9/Pu666y588MEHMBqNGDZsGABg7NixGDduHPr164c+ffpg/vz5uPbaaxETEyO3v/jii7jiiisAAC+99BIyMjIAADExMUhJScGTTz6JrKwsFBYWYuPGjXj//fe99dGJiKgZGcWaMomxg7siWOF5XKiNKhBz0hMQDAkCt2QmarWadZWJuoSFheHNN9/ErFmz8NFHH+Gqq67C0qVLERISAgBISkrCnDlzsHjxYpw5cwbJycmYO3eu/P6JEyeirKwMmZmZCAgIwJgxYzB+/Hi5fdGiRcjKysIdd9yB6OhoLFiwAH379vX2xyQiIi8ziSKqTDY8MjQOkSGBsNprRoBzdfpa56ZqNQgQgUBBgMC1holaNUGSWE1yqfT6y59Up9GEX/Z1yDP2s3ewn72D/XzpnOsM559XM3xdj2jMGNELMz/ej9yiP0NxslaNzKFx6BSphIphuMnwefYOf+1n5+euD58cISYiImpMZjdhGAC+OVgK4ACeuakHnrpJgtHiQGhQAFRBAQgLVkC0WDmBjsgPNPtOdURERE3JIIo4Y7LVCsNO3xwshSAKKDltRLhSgTZKBSIECe0iGr4cJxG1TAzERETUapnOjQxXmmwezztjsGL19sOIDBIRzBIJIr/DQExERK2SRRRRbbHjnsFdERkSiMw0LUKCAtyeG6FUYH56byi4kgSRX2IgJiKiVsckijhUbkSx/iyUgQH4tPA4fj52BovHJtUKxSlaNSKUCk6eI/JjnFRHREStilEUMe2CCXTJWjUmJMdi9bZD8nbMQE0Ynj+qD5QMw0R+jYGYiIhaDdO5TTcunEDnfJ3UJQo39+mA5O41u8+1USpYM0xELJkgIqLWwSSKKDtrRW4dq0nk68qQFBOJP/RnsWRLEcIYhonoHI4QExFRi2cTBZSUGyEKgsfzzDYHumlCsWBUH9YME5GMI8RERNSiWUQRFRYHBEFAm4usJhGpCkRBSQUCud0GEZ2HI8RERNRiuduOOUWrxuKxSZiyejcMFrvL8Y6RSnSJVEHB0WEiOg9HiImIqEUyiSJmuJlAl6crwzv5xchIiZWPpWo1mH5zTwQLAoIlhmEicsURYiIianEMooij5cY6J9Dl6crw9LAe6NUhAsEKEaeqzIgIUnBkmIjc4ggxERG1KM7tmCuMVo/nGS0OqEOD0DlKhWu7t+XIMBHViYGYiIhaDLMo4nC5Efm6MgQrPP8TFq5UoEubYLQNELglMxF5xEBMREQtgkEUccZkw5lzI8O7SyqQrFW7PTdFq0ZEUACDMBHVCwMxERH5PGeZRKXJJo8ML8srxoTk2FqhOFWrwfxRfRDEemEiqidOqiMiIp9mEkVUW+zIHBqHyJBAGCw2JGvVyNeVYcrq3chIiUVGcizMNgciVYGIiVJByTBMRA3AQExERD7L3TrD1/WIxswRCZizcT/ydWXI3qwDUFMmMX9UH4ZhImowBmIiIvJJZjdhGAC+OVgKAMhI/nNkuI0qEF04MkxEl4g1xERE5HNsooAqi71WGHb65mApOkaqEBKkQNe2IejKMExEl4GBmIiIfIpJFFFcbkKl0Ypl4wciM02LkKCAWudVGKxYsqUIYUoFghmGiegysGSCiIh8hrua4WStGovHJmHK6t0wWOzy8ciQQCxkzTARNQKOEBMRkU8wiSJmuKkZzteVYXl+MTJSYuVjKVo1woICGIaJqFEwEBMRUbMziSIqTTbk1lEznK8rQ1JMJACuJkFEjY8lE0RE1KwM50aGxw7u6vG8sGAFPvtHKsKDAlgzTESNiiPERETUbJw70OXqyuQd6Opid0iIDBIZhomo0TEQExFRs7CJAkrKjXLN8O6SilrbMDulaNWIiVJB4ZC8eYtE5CcYiImIqFlUWR2oMFrl18vyijEhObZWKE7VarCANcNE1IRYQ0xERF5jFwUYHYDBasdZkw0xbUPkNoPFjimrdyMj5c8d6Lq2DUGEUsEwTERNioGYiIi8wiQIOFphwqtbdHKZRGaaFilaNfLOvTZY7MjerAMApMZpsCC9N8MwETU5BmIiImpyNlFAnq4MGwuPu6wzvCyvGIvHJgGAHIqBmprheQzDROQlDMRERNSkbKKAMxYH2kUoa226cX6ZxNPDeqDktBGRqkDERKkYhonIazipjoiImoxZEHDojAkOqWYdYXecZRJGix3a6FDERikZhonIqxiIiYioSThEASaHhFc363Dz4lxUm20ez49QBiIqQODSakTkdSyZICKiRmcTBVRaHThSbsTElCuR1CUK+46dQbJWXatsAgBStWqEBwUAHBkmombAQExERI3KKAjIytmH3POCb7JWjYkpsejbKRIAXEJxqlaDeaN6I4hhmIiaCQMxERE1GptYOwwDfwbggd3aIqlLFDKSYxGuVCBCFYiIwAAEMgwTUTNiDTERETWaM1ZHrTDslK8rQ59ObZC9WYeJK3YgXBkIdYDAMExEza7Bgdhms2H16tU4duwYAOCVV17B8OHD8eSTT6KioqKx74+IiFoIsyjiaLnR8zm2mvCbolUjIijAG7dFRHRRDQ7Ezz33HF577TVUVlbi66+/xltvvYWRI0fi+PHjmDt3blPcIxER+TiDKOLwRcIwAAQrRKRo1Zg/qg9rhonIZzQ4EG/atAmvvvoqevTogc8++wwpKSl48MEHMWvWLHz77bdNcItEROTLTKKIapMNAaKAbupQpGo1bs9L1WoQqwnFc6P6IIRhmIh8SIMn1RmNRqjVathsNnz33XeYOnUqAMDhcECh4Bw9IiJ/YhBFTM8plCfNhQQF4O37BwACkFukl89L1qox69ZeCBIFBDMME5GPaXCCvfrqq/HCCy8gLCwMRqMR119/PQ4ePIi5c+diyJAhTXGPRETkgywXhGGgZte5iSt24F/De+Kpm65CyWkjghUiTlWaoAwQGYaJyCc1uGRi3rx5sFqt2L9/PxYuXAi1Wo3PPvsMarUas2bNaop7JCIiH2MRRVRa7LhncFcsGz8QmWlahJybJGew2DEtZx8A4JGVu/DO93/gL1oNwzAR+awGjxB36NABr7/+usuxxx57rNFuiIiIfNuFZRJATUnE4rFJmLJ6NwwWe815ZjtWPTAYXaJUDMNE5NMuaR3inTt3YsqUKfLqEkuXLsWnn37a2PdGREQ+xuQmDAM1awwvzy9GRkqsfCwsWIFODMNE1AI0OBB/+eWXePDBB9GpUycUFxfDZrNBoVDgmWeewapVq5riHomIyAdYRBGVJlutMOyUrytDUkwkgHPrDCsVXE2CiFqEBgfi7OxszJ49G08//TQCAmrqxTIyMrBgwQIsX7680W+QiIian7NmuNps83ie2eaQ1xlWMgwTUQvR4BriQ4cOoV+/frWO9+3bFydPnmyMeyIiIh9iOrfpxhmjFbGaUI/nxmpC8Tw33SCiFqbBI8RarRa5ubm1jufk5ECr1TbKTRERkW8wiCKeySnEPf/dhkdW7sKnhceRolW7Pde5HTPDMBG1NA0eIZ42bRoeeugh/Pjjj7BarXjjjTdw6NAh7Nu3r9bqE0RE1HLZRAEzLphAtyyvGIvHJgEA8s47zu2Yiagla3AgHjBgAD777DN5Al1FRQX69euHRYsWoWPHjo1+g0RE1DyqrA7kXjCBzmCxY8rq3chIicX04b1QZbQiLFiBCKWCNcNE1GJd0l7L0dHR+Mc//tHY90JERD6kyuR+Ap3BYkf2Zh16dYhArCaUZRJE1OI1OBCnpaVBEIRaxwVBQGBgIKKjozFs2DCMHTu2UW6QiIi8xyKKqLLYUWmyIlwZ6PHcNqpAhmEiahUaHIjvvfdeZGdn495770W/fv0gSRL27duH9957D6NHj0a7du3w+uuvo7q6Gn//+9+b4p6JiKgJGATXTTcy07RI0apdaoWdUrRqdIlSMQwTUavQ4EC8fv16zJ07F8OHD5ePXXfddbjqqqvwxhtvYP369ejZsydmzJjBQExE1EKYRbHeE+hS4zSYn96bNcNE1Go0OBAfPnwYPXr0qHU8Li4Ov//+OwCgW7duKCtzv5MRERH5FqMg4Ei50eMEuqzhvWAw2xCuVCA8UISCYZiIWpEGr0Pcr18/vPrqqzAYDPIxg8GAJUuWoG/fvgCArVu3omvXro13l0RE1CRsooCs9ftQYbS6bXdOoKsyWdElNBBRAQIUDsnLd0lE1LQaPEI8d+5cTJo0CampqejWrRskScKhQ4fQoUMHvPrqq8jLy8OCBQvwyiuvNMX9EhFRI3IurTY+OdbjeREXmWBHRNSSNTgQq9VqbNiwAT/88AN+/fVXBAQEIC4uDtdccw0EQUCbNm2wdetWtG3btinul4iIGoFNFFBldaDCaMWy8QMhSRLSekRj88HSWuemaNUIDwoAWCZBRK1UgwPxiBEjkJ2djZSUFKSkpNRqZxAmIvJtRkFAVs4+l5rhZK0aM0ckAIBLKE7VajBvVG+uJkFErVqDA7EoirBa3deaERGRb7OJtcMwAOTryjBn435kJMfinsFdYbY5EKkKRJcoFYIZhomolWtwIL722msxYcIEDB06FJ06dUJQUJBLe2ZmZqPdHBERNS532zE75evKkJEci4krdiA1ToMFI3szDBORX2hwIP7ll1+QkJCAU6dO4dSpUy5t7nawIyKi5nd+zbAn4UoFvvxnKpdWIyK/0uBA/N577zXFfRARURM5v2b47fsHeDw3UlWztBq4tBoR+ZEGB2IA+Pnnn1FUVATHudEDSZJgsVhw4MABPPvss416g0REdOkurBneXVKBZK3aZUc6p9Q4DcIDRYZhIvI7DQ7E2dnZyM7OhkajQVlZGdq3bw+9Xg+73Y6//e1vTXGPRER0iS6sGT5/O+b8C7ZjXjCyN8skiMgvNTgQf/jhh3j22Wdx5513Ii0tDStWrECbNm3w2GOPoUuXLk1xj0REdImqTDaX1+dvx5yRHItwpQKRqkDWDBORX2vw1s3l5eVITU0FAPTs2RO7d+9GREQEHnvsMWzatKnRb5CIiC5duLL2uIdzO+aJK3bINcPcjpmI/FmDA3H79u1RUlICAOjevTsOHDgAAAgLC8Pp06cb9+6IiKjebKKAcruEw2etKLdLsIkCwgNFpMZp3J4v1wwTEfm5BpdM3H777Xj88cexYMECXH/99Rg/fjzatWuH77//Hj169GiKeyQiootwt/tcTV1wAuaPTEDWx/uRW6S/oI01w0REwCUE4oceeghXXHEFVCoV+vbti2nTpuGDDz5AZGQkFixY0BT3SEREHtS1+1xukR7TP96PF9ITsCg9AVVWB6pMNoQrFawZJiI6zyUtu5aeni7/+fbbb8ftt9/eWPdDREQN5Gn3udwiPSqtDkQFCDX/hQbWNLBmmIhI1uBAbLVasW7dOhw8eBBmsxmS5PpNdeHChY12c0REdHEXriThrl0OwkREVEuDZ1PMnDkTzz33HEpLS2uFYSIi8j53K0k0pJ2IyN81+Lvk559/jtdeew3XXHNNU9wPERFdxBmDBVWSAIPVDoPZjjYqBV4Y0xezPtkPg8Xuci53nyMiurgGB+Lw8HC0a9euKe6FiIguwgQBuuNVeHVLUa2d5paPH4gJ7/wkh2KuJEFEVD8NLpl45JFHMH/+fBw+fPiySyYOHTqEiRMnIikpCddeey3++9//ym0lJSUYP348+vXrh5tvvhl5eXku7/3+++8xYsQIJCYm4r777pPXRnZ65513kJqaiqSkJEyfPh1Go1FuM5vNmD59OgYMGICUlBQsW7bssj4HEZE32EUBRypNsEsS7hncFcvGD0RmmhYhQQHILdIje4sOnz6agrUPXYMv/5mKRekJUEoMw0REF1OvEeIePXpAEAQAkEPwjTfe6HKOJEkQBAE///xzvb6ww+HAgw8+iD59+iAnJweHDh3C448/jvbt22PEiBGYPHky4uPjsXbtWnz99dfIzMzEpk2b0LFjRxw7dgyTJ0/Go48+itTUVCxZsgSPPPIIPvnkEwiCgC+++ALZ2dl44YUXoFarMW3aNLzwwguYOXMmAGDRokXYt28fVqxYgWPHjuHpp59Gx44dcdNNN9W744iIvM0oAUs261xWlEjWqrF4bBKmrN6N3CI9rHYHunAlCSKiBqlXIH733XddXhsMBoiiCKVSCUmSMH/+fDzxxBNQqVT1/sJ6vR49e/bE7NmzERYWhm7duuGaa67Bzp07odFoUFJSgg8++AAhISHo3r07fvjhB6xduxaPPvoo1qxZg969eyMjIwNAzcoWycnJ2L59OwYPHox3330X999/P4YOHQoAePbZZzFx4kQ8+eSTkCQJa9aswVtvvYWEhAQkJCSgqKgIK1euZCAmIp9lEwXMdLPWsLNsIiMlFtmbdVxRgojoEtSrZGLQoEHyf7/88gsef/xxlJWVYdCgQRg8eDCSk5Px2GOP4Y8//qj3F27Xrh1efvllhIWFQZIk7Ny5Ez/99BMGDRqEgoIC9OrVCyEhIfL5/fv3x549ewAABQUFGDBggNymUqmQkJCAPXv2wG63o7Cw0KW9X79+sFqtOHjwIA4ePAibzYakpCSXaxcUFMDBOjsi8lGe1hrO15UhKSYSAFeUICK6FA3+zrl8+XK89NJL8ugrADz99NMYMGAAFi5ciDvuuKPBN5GWloZjx45h6NChuPHGG7FgwYJaE/fUajVOnDgBACgtLa2zvbKyEmaz2aVdoVAgMjISJ06cgCiKiIqKQlBQkNyu0WhgNptRUVGBtm3b1vu+z1WRXDLn+y/3OuQZ+9k72M9N62JrDZttDnlFCYFLYl42Ps/ewX72Dn/t54Z83gYH4vLycnTp0qXW8djYWOj1+oZeDgCwePFi6PV6zJ49GwsXLoTRaHQJrAAQFBQEi8UCAB7bTSaT/NpduyRJbtsAyNevL7U6vEHnN/V1yDP2s3ewnxvPGYMF+moLKk1WhF5k5DdSFYj5o/qgQ9sQj+dRw/B59g72s3ewn+vW4EDcv39/vPrqq1i4cKFcM2w2m/HGG2+4lCE0RJ8+feTrTJ06FaNHj3ZZFQKoCatKpRIAEBwcXCu8WiwWREREIDg4WH59YbtKpYLdbnfbBkC+fn2VlVXhcgZiBKHm4bzc65Bn7GfvYD83LiMETF//Z81wZpoWKVo18tyUTaTGaRATpYLKYYdeX+XtW22V+Dx7B/vZO/y1n52fuz4aHIhnzpyJjIwMpKSkoFu3bgCAw4cPQ6PR4LXXXqv3dfR6Pfbs2YPrr79ePqbVamG1WhEdHY3ff/+91vnOMoj27dvXGo12TtKLjIxEcHAw9Ho9unfvDgCw2WyoqKhAdHQ0JElCeXk5bDYbFIqaj19aWgqlUomIiIgG9YUkoVEerMa6DnnGfvYO9vPls4giSsqNGDu4KyakXIldh8vxwfbDeG50XwBwCcWpcRrMT+8NpcMBdnvj4/PsHexn72A/163BgbhLly7YtGkTcnNz8ccff0ChUKBbt25ISUlBQEBAva9z5MgRZGZmYuvWrWjfvj0AYN++fWjbti369++PZcuWwWQyyaO2O3fuRP/+/QEAiYmJ2Llzp3wto9GIAwcOIDMzE6Iook+fPti5cycGDx4MANizZw8UCgV69OhR86EVCuzZs0eeeLdz50706dMHotjgZZmJiBqNTRRQaXXgiL4agiDgwPFKLMsrRlKXSDw3ui+eWbsXdw3qghnDe+Gs2YZwpQLhgSI33iAiukyXNB05KCgI11133WV94T59+iAhIQHTp0/HtGnTcPToUbzwwgt46KGHMGjQIHTo0AHTpk3DI488gi1btmDv3r1YuHAhAGD06NF4++23sXTpUgwdOhRLlixB586d5QB89913Y+bMmYiPj0e7du0we/Zs3HHHHXKJR3p6OmbPno0FCxbg1KlTWLZsmXxtIqLmYBQEZF2wrNr5awwDxbhrUBdkb9bh+h7t0DUssGakh2sNExFdNkG63O3mLsPJkycxd+5c/PDDD1CpVLj33nsxadIkCIKAQ4cOISsrCwUFBejatSumT5+Ov/zlL/J7t27digULFuDEiRNISkrC3LlzERMTI7cvXboU77zzDiwWC2644QbMmjVLri82Go2YPXs2vvzyS4SFhWHixIkYP358g+9fr7/8GmKNJvyyr0OesZ+9g/186ayiiKdzCt0uq5asVSOpSxSyN+vw9v0DMHHFDnzz+F/RRpTYz02Iz7N3sJ+9w1/72fm563Vucwbilo6BuGVgP3sH+/nSmAUBVVYHhr2SW+c5ziD82j1XY/X2w8gemwSrwcx+bkJ8nr2D/ewd/trPDQnELJolImomdlFApcWOYxVGj+eZbTU1wpGqQCxI7402IUEezyciooZhICYiaiZGB7Bw088XPS9YISI1ToOuUSqoJE6gIyJqbAzEREReZhFFlNkknKoy4+lhPREdHoxUrdrtuclaNU5VmjA/vTeCuJoEEVGT4Kb3REReZBJFHC434ozRCmVgAHJ1evx+qgpz0ntj5vr9yNX9ucZ6qlaNWbcmQBkgIphhmIioyTAQExF5iUEUMT2nEPkXLK02ITkWL3x+EE/ddBX+YYuDzSEhJCgAoUEKqAIEBDIMExE1KQZiIiIvsIkCZlwQhgHIr5O6RAECMOaNHwAAKVo1Fo7qwzBMROQFDMRERF5gcgDjk2MxdnBXKAMDsOtwOZblFcNgsSNfV4aM5FhUm+wAXLdjJiKipsdATETUhOyiAKMEzFxf9y50BosdZpsDHSMD8eU/U7kdMxGRlzEQExE1EaMoIl+nx8bC43WWSmSkxCJ7sw5tVIGICAqoWUmC2zETEXkVl10jImoCJlFEVk4h2kUoa4Vhp3xdGZJiIpGiVSMmSsVl1YiImgkDMRFRI7OLAipNNuTqyuRd5jyZfWtvKMFRYSKi5sJATETUyCwQ4ICE1+65GjFtQzyeqw4LhlIUILBMgoio2bCGmIiokVhFEWaHhJk5hfIEusw0LVK0auS5KZtIjdMgOiSQpRJERM2MI8RERI3AJIo4ddaK3/VnMSHlSmSmaRESFIBlecUYnxyLlAu2Zk6N02DBSG7HTETkCzhCTER0mS7cjnnX4XIcOHZGXlZtyurdyEiJxdPDeuBUpRmdolRow6XViIh8BgMxEdFl8LQd86pth+Rl1bI365Ci1eBUlRkJ7UIRwJphIiKfwUBMRHSJTKKIo+VG3DO4KyamXCnvPnf+dsxJMZHy+Q6HhJQr1QjgyDARkU9hICYiugQGUcSM8ybPAa67zzm3Y3Yuu5Yap0FXrjVMROSTOKmOiKiBbKJQKwwDNRttLM8vRkZKLADAbHMgWCFyAh0RkY9jICYiaqAqq6NWGHZy7j4HAJGqQFypCcXz6b2hlBiGiYh8FUsmiIjqySYKqLI6UGG0ejzPbHMgRatGx0gVggAEcmSYiMincYSYiKgejIKAp3L24YaXc1Flsnk8N1IViPmj+kAlSAjkyDARkc9jICYiugiLKCJr/T65TGJ3SQWSL9howylVq0FMlAohDgdELq1GRNQisGSCiMgDkyii2mLH2MFdMeHc0mofbD+M50b3BQCX9YdT4zSYn94bSpZIEBG1KAzERER1qGtptedG98Uza/firkFdkJEci3ClApGqQIRz9zkiohaJgZiIyA2Tmx3ogD9HhO8a1AXZm3UAgE+npCAqQABYIkFE1CKxhpiI6AIWUURJubFWGHY6f2m1ZK0aIYEBXrw7IiJqbBwhJiI6j0UUUWmx12tptVStBpPTtFCJAFgpQUTUYnGEmIjoHIMg4qmcQhTrzyJY4fnbY6wmFJPTtOgcoUQASyWIiFo0BmIiIgBWUUT+b3pkJMeic5TqokurhQUFoFubYARznWEiohaPJRNE5PesogizQ8JnhceRqytDZpoWB46dwYTkWACuS6ulaNWYN4pLqxERtSYMxETk14yCiGNnjLA7IK81vPdIBcYN6Yb3fvwDSV2ikJEcC7PNgUhVIGKiVAzDREStDAMxEfktqyjiaIURr23R1VpruG/nNkiMiUTvjm0QGqxAx8hARAQFIIhhmIio1WENMRH5LZNDQvYFYRioKZF4O68YVruEiSt24KzZxjBMRNSKMRATkd8xiyL0NglGi71eaw13ilIxDBMRtWIMxETkVwyCiKdzCjHslVwcOm3weK7Z5kBqnAZtAvmtkoioNeN3eSLyG2ZRxIz1f27HfLG1hiNVgVgwsjcUXGeYiKhV46Q6IvILJlFEpckmrySx63A59h07g2St2m3ZRGqcBl1ZKkFE5BcYiImo1TOIImbkFNZaSWJiSiz6dooE4LrWcGqcBgtG9mYYJiLyEwzERNSqmd2EYeDPADywW1t5reEIZSCsdgdHhomI/AxriImo1bKKIqqt9lph2ClfV4Y+ndoge7MOy/OLoQ4LQkwkwzARkb/hCDERtUpmUYTFIaHSaPN8ns2BVK0G80b1RggkgGGYiMjvcISYiFodkyjiSIUR//p4H6pMVo/ndtOEYuGo3ghxOACuJkFE5JcYiImoVbGeW03irMWOiSlXAqiZQOdOslYNlUJEMEeFiYj8GksmiKjVMIoisi6YQJfWIxozRyRgzsb9LitJJGvVeHRoHJSiwJFhIiI/x0BMRK2CyU0YBoDNB0sBABnJschIjoXZ5kDnKBX2Hz2DjpFKKDg6TETk91gyQUQtnvm8TTeWjR+IzDQtQoIC5HZnKJ64YgceWbkLgQEiUrQaqBiGiYgIHCEmohbOILjfdGPx2CRMWb0bBosdQM1qEkDNphsRQQFcWo2IiGQcISaiFssiipix3v2mG8vzi5GREisfC1aISI3TYH46d6AjIiJXDMRE1CKZRBGVFs+bbiTFRAIAUrVqdGijxML03iyTICKiWhiIiajFMYgipucUolh/1uN5ZpsDyVo1JqfFITxYweXViIjILdYQE1GLYhJFHC03YuzgrohpG+Lx3G6aUMwb2RsqEQhgGCYiojowEBNRi3HhOsOZaVqkaNXIc1M2kaqtmTwX7HAAzMJEROQBSyaIqEWwiUKtdYaX5RVjfHIsUi7YiS5Zq8ac9ASWSBARUb1whJiIWoQqq6PWBDqDxY4pq3cjIyUWTw/rgZLTRsS0VWHf0UqoBADcgI6IiOqBI8RE1CJUmWxujxssdmRv1qHktBErtx3CviOVSO6uRgC3YyYionpiICYin2UWRehtEn6vsiAkWIG37x8ATViQ23MjVYGYN7I3/k+r5tJqRETUIAzEROSTjKKI73R6HKswouysBcfPmHCq0oRVfx9SKxSnajUQRQHBosBNN4iIqMFYQ0xEPscsijhaYcSnhceRf8GWzN00oXhxTCLGv/OTfGxymhadI5QIZBgmIqJLwEBMRD7FIIqwOyRkb9G5hGEA8uu5I3tjzUPXICQoACGBAVxnmIiILgtLJojIZ5jO7UBntNhrhWGnfF0ZjFY7uoUGol2giDBInEBHRESXhYGYiHyCSRRRbbHjnsFdYbDYPZ5rMHtuJyIiagiWTBBRszOJIkrKjagwWqEMDEBosOdvTREqfusiIqLGw39ViKhZGc6VSZxfIrFodB+kxmmQW6SvdX5qnAYRgSLAMgkiImokLJkgomZjEkXMuCAMA8DsDQeQOVSL1DiNy/HUOA0WjOwNBcMwERE1Io4QE1GzMIkiKk02jB3cFRNSrsSuw+VYllcMg8UOg8WOCe/8hA8eHIInb7wKpVVmdIpSoU2gCAVXkyAiokbGQExEXmc4NzKce8Eaw4vHJmHK6t1yKD5SbkSsJhTx7cKgdDhYJkFERE2CJRNE5FUmN2EYqFlObXl+MTJSYuVjkapAhAUF1IRhIiKiJsJATEReYxBFHC431grDTvm6MiTFRAIAUrRqxESpGIaJiKjJMRATkVc4N904Y7R6PM9scyBVq8H8UX0YhomIyCsYiImoyTk33cjXlSFY4fnbTte2IVgwqjdCGIaJiMhLGIiJqEk5V5OoPDcyvLukAslatdtzU7UaRCgVHBkmIiKvYiAmoiZjOlczfOi0ARGqQADAsrxiTEiOrRWKU+M0mDeqN8MwERF5HZddI6ImceEOdJlpWqRo1cjTlWHK6t3ISIlFRnIszDYH2qgC0YUT6IiIqJkwEBNRozO72YFuWV4xFo9NAgDk6cqQvVkHoGY1CU6gIyKi5sRATESNyijUvQOdc2R4+vBeqDZaEc51homIyAewhpiIGk1J2Vm5ZlgZGIBdh8tx4NgZLB6bhJCgABgsdmRv1uEP/VmEBisYhomIyCc0ayA+efIkpkyZgkGDBiE1NRULFy6E2WwGAJSUlGD8+PHo168fbr75ZuTl5bm89/vvv8eIESOQmJiI++67DyUlJS7t77zzDlJTU5GUlITp06fDaDTKbWazGdOnT8eAAQOQkpKCZcuWNf2HJWrlzgoinskpxD3/3YZHVu5Cxjs/Yffhctw9uCtWbTvksgNdG1UgV5MgIiKf0WyBWJIkTJkyBUajEStXrsR//vMfbNmyBS+//DIkScLkyZOh0Wiwdu1ajBw5EpmZmTh27BgA4NixY5g8eTJuu+02/O9//0Pbtm3xyCOPQJIkAMAXX3yB7OxszJkzBytWrEBBQQFeeOEF+WsvWrQI+/btw4oVKzBr1ixkZ2fj888/b5Z+IGoNTG5qhoE/t2Pu1bGNyw50nEBHRES+pNkC8e+//449e/Zg4cKFiIuLw4ABAzBlyhRs3LgRP/74I0pKSjBnzhx0794dkyZNQr9+/bB27VoAwJo1a9C7d29kZGQgLi4OCxcuxNGjR7F9+3YAwLvvvov7778fQ4cORd++ffHss89i7dq1MBqNMBgMWLNmDbKyspCQkIC//e1veOCBB7By5crm6gqiFs1wbp3hi23HbLY5kBrHHeiIiMj3NFsgjo6Oxn//+19oNBqX49XV1SgoKECvXr0QEhIiH+/fvz/27NkDACgoKMCAAQPkNpVKhYSEBOzZswd2ux2FhYUu7f369YPVasXBgwdx8OBB2Gw2JCUluVy7oKAADv4jTdQgzu2YK002j+eZbQ50bRuChencgY6IiHxPs60yERERgdTUVPm1w+HA+++/jyFDhqC0tBTt2rVzOV+tVuPEiRMA4LG9srISZrPZpV2hUCAyMhInTpyAKIqIiopCUFCQ3K7RaGA2m1FRUYG2bdvW+zMIQoM+cp3vv9zrkGfs56bhXE3insFdERkS6PFcuWZYcgD8e7gsfJ69g/3sHexn7/DXfm7I5/WZZddeeOEFHDhwAP/73//wzjvvuARWAAgKCoLFYgEAGI3GOttNJpP82l27JElu2wDI168vtTq8Qec39XXIM/Zz4ykpO4uSciMqjFYoAwNwrMKI63pE45uDpbXOddYMx6hDm+FOWy8+z97BfvYO9rN3sJ/r5hOB+IUXXsCKFSvwn//8B/Hx8QgODkZFRYXLORaLBUqlEgAQHBxcK7xaLBZEREQgODhYfn1hu0qlgt1ud9sGQL5+fZWVVeHcPL5LIgg1D+flXoc8Yz83rrOC6w50AJCsVWPmiAQAcAnFqdqa7ZhVkgN6fZXX77U14vPsHexn72A/e4e/9rPzc9dHswfiuXPnYvXq1XjhhRdw4403AgDat28PnU7ncp5er5fLINq3bw+9Xl+rvWfPnoiMjERwcDD0ej26d+8OALDZbKioqEB0dDQkSUJ5eTlsNhsUipqPX1paCqVSiYiIiAbduyShUR6sxroOecZ+vnyeVpOYs3E/MpJj8cSNPXDGYEWEUiEvrcZub3x8nr2D/ewd7GfvYD/XrVnXIc7OzsYHH3yAf//73xg+fLh8PDExEfv375fLHwBg586dSExMlNt37twptxmNRhw4cACJiYkQRRF9+vRxad+zZw8UCgV69OiBnj17QqFQyBP0nNfu06cPRJH7lBDVxSCKKCk3elxNAgD+0J/Fki1FCOM6w0RE1EI0WwL87bff8Nprr+Hvf/87+vfvj9LSUvm/QYMGoUOHDpg2bRqKioqwdOlS7N27F2PGjAEAjB49Grt27cLSpUtRVFSEadOmoXPnzhg8eDAA4O6778bbb7+Nr7/+Gnv37sXs2bNxxx13QKVSQaVSIT09HbNnz8bevXvx9ddfY9myZbjvvvuaqyuIfJ5zNYkKo9XjefJqEqP6cDUJIiJqMZqtZOKbb76B3W7H66+/jtdff92l7ZdffsFrr72GrKws3HbbbejatSuWLFmCjh07AgA6d+6MV199FQsWLMCSJUuQlJSEJUuWQDg3nXD48OE4evQoZs6cCYvFghtuuAFPPvmkfP1p06Zh9uzZuP/++xEWFoZHH30UN9xwg/c+PFELYhJFVFvsyNeVISM51uO5kdyBjoiIWiBBklhNcqn0+sufVKfRhF/2dcgz9vOlM50rkxAEAUarHZIkYVl+ca0aYqBmNYmFo/pAJTnYz02Iz7N3sJ+9g/3sHf7az87PXR8smiUit0yiiMPnllYzWu3Ydbgc/9tZgpkjEpCsVbuc69yBjkurERFRS9Tsq0wQke8xnFtNIveCpdUmJMfi5a9/QUZyLDKSY2G2ORCpCkRMlAoqiWUSRETUMjEQE5EL5wQ6d0urAUBSlygAwMQVO5CiVWP+qD41NcN+tgMSERG1HgzERCSznKsZdlcjDECeWBcSpMBn/0hFWFAAJ9AREVGLxxpiIgJQE4YrLfZ6La0mSRLDMBERtRocISbyd6IAEwR5NYlgheefk9ucqxlmGCYiotaCI8REfswqCDBAwDM5hbj7v9tgsNiwu6Si1ioSTqlaDbowDBMRUSvDQEzkp6yiCLMEzDhvAt3ukgocOHYGE5Jja4XiFK0a80b1ZhgmIqJWhyUTRH7IKAjIyinE+ORYl6XVluUVY/HYJKzadghJXaJqLa3GMExERK0RR4iJ/IxNFJC1fh9ydWUw21wDrsFix5TVu9GrYxskxUQiJEiBWE0oujIMExFRK8YRYiI/U2l1yKPC7ibQGSx2ZG/WAQBWPTAYEUEBCGIYJiKiVowjxER+xCSKOGO0ya89TaBL0aoRE6ViGCYiolaPgZjITxjO7UBXZfpzneFlecVuJ9ClajV/7kBHRETUyrFkgsgPmEQRR8qNGDu4K9qFK5GqVSNXVybXDGekxCIjORYA0ClKhbDAAAQzDBMRkZ/gCDFRK2c6tx3zGaMVysAAfHPwJDLTtEjVagD8WTO8LL8YoUEKhmEiIvI7HCEmaqVsooAzVgeO6qshCAIOHK/EsrxiJHWJRN/ObXBLYgf84/o4nKoyo3OUCvuPnkHHSCXDMBER+R0GYqJWqGad4X0uawwna9VYPDYJU1bvxtt5xUjqEgV1WDAeWbkLnz6aghSthjXDRETkl1gyQdTKnL/O8PnydWVYnl+MjJRY5OvKkBQTCbPNgdQ4DSKUCoZhIiLyWwzERK3M+esMX8gZhAHAbHOgjSoQ89K5HTMREfk3lkwQtRKSKMAgCThSXu3xPOfudNyOmYiIqAZHiIlaAZMgoNoOZK0vvOi5wQpR3nSDYZiIiIiBmKjFc4gCqq12mO0O5OvKPO4+l6xV41SlmZtuEBERnYeBmKiFM0oC5n36M4r1ZwF43n3u2VsTkKpVI4RhmIiISMYaYqIWyi4KsELA0XIj7hncFV3ahiAzTYtlecUuu8+ZbQ4EK0TEakIRLAoIYhgmIiJywUBM1AKZBQFVZjvKDVZ5B7rP95/Az8fOyGsNZ2/WyeenaNVYOKoPwzAREZEbDMRELYxdFFBptmP+pp+Rf8HGGxOSY7F62yFkpMTKgThFq2bNMBERkQcMxEQtiFUUYQWw8IIwDEB+ndQlCjcmtEevDhGI1YQiLCiAYZiIiMgDTqojaiGMgohDFUYcLTdedOONktNGrNp2COEMw0RERBfFQEzUAlhEEXm/6ZG9RYcKo9Xjuc4d6OaP6oNghmEiIqKLYiAmagGqrXa0j1AiX1eGYIXn/20jVYHoEqXi0mpERET1xEBM5MNsooAyu4Tys1Z5y2VPG29wBzoiIqKGYyAm8lFGQcBTOftw08u5OGuxySPDdW68EafhahJERESXgKtMEPkghyjg2BkTnhrWA4+Y7GijUkAQapZWy9eV1dp4w1kmwZphIiKihmMgJvIxNlHAGasDZ812GCwO7DpcjmV5xbjmyraYn94bWev3IV9XJq8znBqnwYKRvRmGiYiILhEDMZEPMQoCsnL2uSyrlqxVy7vPzd14APPTe+Os2Y4qsw2RqkBEBAUgkGGYiIjokrGGmMhH2EQBWev31VpjOF9XhuX5xchIicU3B0tRZbbhRKUJ2ZuLEMowTEREdNkYiIl8gFUUUWFxXHTDDQA4a7bjVKWJE+iIiIgaCUsmiJqZSRRRUm6EIAgez3Muu9ZGFYi/ajUcGSYiImokHCEmakbOMFxhtCJcqUBmmhYhQQFuzw1WiEjRqlkzTERE1Mg4QkzUTIyiiKycQpcyidQ4DV6752o8snIXDBa7fDxZq5bLJIIYhomIiBoVAzFRMzCLIvJ1eoxPjsXYwV2hDAyQl1cDgMlDu+OFL34FAKRqNZiTnoAgQWAYJiIiagIMxEReZhZFWBwSNhYeR34dy6tlDe+Jq7u0RZgyAPuOnEEAwzAREVGTYSAm8iKzKKLSbMPCTT+7hGEA8uuMlFhUGW2QJAkhgQqkaDVcTYKIiKgJcVIdkZeYRRHVVjtsDumiy6uFBAWgc5QKoQFgGCYiImpiHCEm8gKHKEICYLU7YDxvslxdVEEBUDEIExEReQVHiImamEMUYQFwuNyIktNGhAR7/jn0igglgkXPaxITERFR4+EIMVETkkQBJgDTcwrlGuHMNC1StGrkuSmbSNWqEaFUcAIdERGRF3GEmKiJmEURRgiYcV4YBoBlecUYnxyLFK3a5fzUOA3mcTtmIiIir+MIMVETMIgipucU4plhPWpNoDNY7JiyejcyUmLx9LAeMJjtiFAFIjwoAMEMw0RERF7HEWKiRmY+F4bzdWWoNrmfQGew2JG9WYeS00bYHRLCGIaJiIiaDUeIiRqRWRRRZbFjSlocZgzvBaVCREhQgMs2zOdrowpETJSKZRJERETNiIGYqJEYRBEzcgpdSiRStWosu38gMlb8VCsUp2jV6MIwTERE1OxYMkHUCExuwjAA5OrKsGSLDv8a3tPleKpWg/mcQEdEROQTOEJMdJmsoohqi73O3edydXpMu7knNv0jFZVGK9qoAhEWFMAwTERE5CMYiIkug+ncDnTHKowezztjtMJgsaGrOhSqAIHrDBMREfkQlkwQXSJJrPnfp8pkQ2iQAsvGD0RmmhYhQQG1zg1TBtTsQMcwTERE5HM4Qkx0CWyiCJMkYeb6fS6lEslaNRaPTcKU1bvlSXSpWg3Omu3o3EbJpdWIiIh8EAMxUQMZRBHf6/TYWHjcZQc6APLrjJRYZG/WIVmrxpz0BCgEgWGYiIjIRzEQEzWASRRxpNyIhE5tMC1nn9tz8nVlePqmHkiKicSpKjOCBJZJEBER+TLWEBPVk3M75nv+uw1Hyj1PojtSbsTy/GL8pbuaYZiIiMjHcYSYqB4uXGc4WOH5Z8mubUOwkOsMExERtQgMxEQXYTm3zvDYwV0xIeVK7DpcjsKjZ5CsVdeqIQaA1DgNIpQKhmEiIqIWgoGYyAOjKCLrgh3okrVqPJByJfp2bgMALqE4VavGvPTeDMNEREQtCAMxUR2sbsIw8GcAHhTbFkldopCRHIuwYAUiuAMdERFRi8RJdURumEQRZzxsx5yvK0Pvjm2QvVmHd/L/QMc2SkQwDBMREbVIDMREFzCKIvJ0elSZbB7PM9scSNVqMG9Ub4gAV5MgIiJqoRiIic5jPbcdc2KXKADwuB1zTFsVZt7SC4FgGCYiImrJWENMdI5FFGGVgH+trz2J7sLtmJO1auw7UokUrRqBDMNEREQtGgMxEWpGhu0AstYX1ms75syhcegUqWTNMBERUSvAQEx+z3IuDJeUG92uKwzUhOLpN/fEsIQrIAhARLACwQzDRERErQJriMmvmUURZruEsxY7zhitHs+tNNogigLCGYaJiIhaFQZi8ltmUUS11Y7isrOw2R1oFx7s8fwIpQLhXFqNiIio1WHJBPklgyhixgWbbiwY1RupWg1ydfpa5zu3Y+bIMBERUevDEWLyOyZRxJFyI8YO7uqyrNq8T3/GI0O7I1Wrdjk/hdsxExERtWocISa/4m5k+Pxl1Sau2IEPHhyC8VVmmG0OtFEFokuUimGYiIioFWMgJr9hEmqHYaD2smoGix1mmwOxmlCEBwWwTIKIiKiVY8kE+YVDZWdxqNxYKww75evKkBQTCQA4a7Zh1bZDCGMYJiIi8gsMxNTqGQUR03MKL7qsmtnmQLJWjVNVZswf1YdlEkRERH7CJwKxxWLBiBEjsG3bNvlYSUkJxo8fj379+uHmm29GXl6ey3u+//57jBgxAomJibjvvvtQUlLi0v7OO+8gNTUVSUlJmD59OoxGo9xmNpsxffp0DBgwACkpKVi2bFnTfkBqNmZRRLXFjnxdGYIVnh/3SFUg5qX3xl+7qxHCMExEROQ3mj0Qm81mPP744ygqKpKPSZKEyZMnQ6PRYO3atRg5ciQyMzNx7NgxAMCxY8cwefJk3Hbbbfjf//6Htm3b4pFHHoEkSQCAL774AtnZ2ZgzZw5WrFiBgoICvPDCC/L1Fy1ahH379mHFihWYNWsWsrOz8fnnn3v3g1OTM4oijpwx4oyhZmR4d0kFki9YQcIpVatBTJQKoYKAQIZhIiIiv9KsgVin0+GOO+7A4cOHXY7/+OOPKCkpwZw5c9C9e3dMmjQJ/fr1w9q1awEAa9asQe/evZGRkYG4uDgsXLgQR48exfbt2wEA7777Lu6//34MHToUffv2xbPPPou1a9fCaDTCYDBgzZo1yMrKQkJCAv72t7/hgQcewMqVK73++anpWEQRxyqMsDuAUGUAAGBZXjEmJMfWCsWpcRrMSU9AEACBYZiIiMjvNOsqE9u3b8fgwYPx2GOPoV+/fvLxgoIC9OrVCyEhIfKx/v37Y8+ePXL7gAED5DaVSoWEhATs2bMHAwYMQGFhITIzM+X2fv36wWq14uDBg5AkCTabDUlJSS7XfuONN+BwOCCK9f8ZQRAu4UO7ef/lXodcWQQRFoeEV7focM/grjBZ7UjRqpGnK8OU1buRkRKLjORYeVm1Dm2UCBQEBEgOgH8Xl4zPs3ewn72D/ewd7Gfv8Nd+bsjnbdZAfPfdd7s9Xlpainbt2rkcU6vVOHHixEXbKysrYTabXdoVCgUiIyNx4sQJiKKIqKgoBAUFye0ajQZmsxkVFRVo27Ztve9frQ6v97neuA4BJWVnYbVLMNkdyNeVISM5Fk+v3YuVDwzB3I37kacrQ/ZmHYBzG26M6oNAAJ3Uoc17460In2fvYD97B/vZO9jP3sF+rptPrkNsNBpdAisABAUFwWKxXLTdZDLJr921S5Lktg2AfP36Kiurwrmy5UsiCDUP5+Veh2qYhJoJdMcqjAgNrnm0d5dU4KorwnHPf3/E86P74ulhPVBtsiNMGYCzZjuCAQRKDuj1Vc17860An2fvYD97B/vZO9jP3uGv/ez83PXhk4E4ODgYFRUVLscsFguUSqXcfmF4tVgsiIiIQHBwsPz6wnaVSgW73e62DYB8/fqSJDTKg9VY1/FnJlFESbkRFUYrlIEBCAmq+W9ZXjEWj03C8vxiTFyxQz4/NU6D+em9oXA4wK5vXHyevYP97B3sZ+9gP3sH+7luPhmI27dvD51O53JMr9fLZRDt27eHXq+v1d6zZ09ERkYiODgYer0e3bt3BwDYbDZUVFQgOjoakiShvLwcNpsNCkXNxy8tLYVSqURERIQXPh01NnfbMadqNVg+fiAmvPNTrbrhyHPbMXPTDSIiIgJ8YNk1dxITE7F//365/AEAdu7cicTERLl9586dcpvRaMSBAweQmJgIURTRp08fl/Y9e/ZAoVCgR48e6NmzJxQKhTxBz3ntPn36NGhCHfkGs5swDAC5Oj2yt+gw+5ZeMFjsyN6sw8QVO7B6+2F0YhgmIiKi8/hkAhw0aBA6dOiAadOmoaioCEuXLsXevXsxZswYAMDo0aOxa9cuLF26FEVFRZg2bRo6d+6MwYMHA6iZrPf222/j66+/xt69ezF79mzccccdUKlUUKlUSE9Px+zZs7F37158/fXXWLZsGe67777m/Mh0CQyiCP1Za53bMecW6dGzYwQ+yUzGa/dcjU8fTcGC9N7cdIOIiIhc+GQgDggIwGuvvYbS0lLcdttt+OSTT7BkyRJ07NgRANC5c2e8+uqrWLt2LcaMGYOKigosWbIEwrn1NYYPH45JkyZh5syZyMjIQN++ffHkk0/K1582bRoSEhJw//3349lnn8Wjjz6KG264oVk+K10a07mRYZPV7vG8s2Y7SqvMWLXtECKUCm7HTERERLUIksTy6kul11/+KhMaTfhlX8ffmEQRZWetSH8tH59kJuPW7Pw6z93waDL2Ha1Ecnc1QiQH+7kJ8Xn2Dvazd7CfvYP97B3+2s/Oz10fPjlCTFQXsyjC6pBgsf850lvXdszJWjXCghRI7a5GF64zTERERHXwyVUmiNwxiTXrDFcarQhTKrAhMwXlZ83IHKoFAOSfV0ucrFXj0aFxCBIFBEsskyAiIqK6MRBTi+BuabVkrRpT0rRoGxaM4X06yMuqBStEnKoyo2OkEkEObsdMREREnjEQk88z1bG0mnNEeGRiR7SPOLdpi0LEFRFKXNUujEurERERUb2whph8mlkUUWmy1bm0Wr6uDOqwYESH1/x3qsqMCKWCYZiIiIjqjYGYfJZFFGGyOXCi0uTxPLPNgSPlRgQGiEjtrubSakRERNQgDMTkk0yiCItDwrMb9l/03GCFiEhVIMKDAjgyTERERA3GQEw+xyiKyNXpYbI5kKsrw+6SCo9Lq52qNCOG2zETERHRJeKkOvIpFlHE0QojPi08jsiQIADAsrxiLB6bBMB1abVUrRqPDI1Dp0glyySIiIjokjEQk88wiSLOWu0QBQHP3NQDAWLNLzAMFjumrN6NjJRYl6XVuqlDERwgcGSYiIiILgsDMfkEkyiipNyICqMVysAA5Or06BKlQqpWg1ydHgaLHdmbdfL5qXEaLEzvzTBMREREl42BmJqdQRQxPaew1k5z/btEITNNC0ByWXYtVavGPIZhIiIiaiQMxNSsTKKIo+VG3DO4KyamXIldh8uxLK9YDseDYtviyZt64CkBKDltRKwmlKtJEBERUaPiKhPUbC4sk9h1uBwHjp3B4rFJCAkKQL6uDL07tsGRciNKThuxevthhmEiIiJqdBwhpmZhcLMdc7JWjQnJsVi17RAyUmKRvVknT6BTBQZgPsskiIiIqAkwEJPXmUUR+To9xifHYuzgrvLo8LK8YgDFSOoShaSYSABAG1UgDp82ILW7mmGYiIiImgQDMXmVRRRhdUj4tPB4rUl0i8cm1Syvdm5ptRStGm1DgrjpBhERETUpBmLyGqMo4qzZhgWbfnYJw8CfG25kpNSE4UhVIOaO7I0gUUAQwzARERE1IU6qI68wiSLydHqcNlhd6obPl68rQ1JMJCJVgegcpWIY/v/27j+8qer+A/g7adokWGpLAzwUAetKEdrShlZ+NVGsigiUHzKdIAoDB9tQ1DEF+h2IFkFEgSk66gDpnIPhmN2K8wfocBSEAUJmoQjFUmvBUkoRSpukST7fP6BXQmlBSZO29/16nj4POefm9uaTiG9Ozj2HiIiI/IIjxNTk7Fotvq6sQccwA76rqb3i8TdEGGEAoGEYJiIiIj9gIKYmZddqccbuUoKwXtf4lxKdI4wIAcMwERER+Q+nTFCTqduBrvhUNfQ6LfQ6LfaWnEZqTORlj7d2NyE0OAhBDMNERETkRwzE1CQcF60zXBeEy87YceDYd/h5anS9UGyJieQ6w0RERBQQnDJBPld9YTvmupvn9pacxoFj3yG5awR+Yb0Jf9z6FcxdI5Tl1cKNwegSYYSBYZiIiIgCgIGYfKpu042bTKFK2+q8Irwy1oy3dhxFYpdwPHFnLACgxunGDRHBCA0O4moSREREFDCcMkE+49BqUePy4L0vjuOc06W0VzvdmL52L3pFXY/4qOvxTWUNgjQadLregAiGYSIiIgowBmLyCbtWizMOF57L3Y9thRX1bp6rdrqx/JNCTM7ejbU7v0Zbgw56cDUJIiIiCjwGYrpmDq0WVU43RKDMG16dV3TZm+es3U2YPfRmBAHQMgwTERFRM8A5xHRNai7sQNcxzIA2Id9/nOqmSUyyRCs3z3VpZ8Q5hxtt9TpOkyAiIqJmg4GYfjSHVotzTjduMoUi1KCDPlgLU2gITlY5AXw/TaLOB09Y0eX6YIZhIiIialYYiOlHqdt0Y9uFKRLA+bWE103pjwfe2KGE4jrW7iaEBQchmGGYiIiImhnOIaYfzH5h042LwzAA5BVWYN4/92P5OLNXu7W7Cc+PimcYJiIiomaJI8T0g1y66cal8gorMHtoT6yakIK2Bh1CdEEwtQnmDnRERETUbHGEmK5a3cjw6ZraRo87U+PC5OzduC5Eh3YMw0RERNTMMRDTVXFotSi5MDKs1zX+sQk1BMHa3YQIgw5GhmEiIiJq5hiI6YrsWi3OOt0I0moAoN6mGxezxETinMONBZwzTERERC0EAzE1qlqrxax3v8A9v9+KKsf57Zgb3HQjxoT5oxNw4/UGGBiGiYiIqIXgTXXUILtWiyq7C4/e3h2z7+kJjwjuie+I9/PL6m26EW4MRpcII4IBBDEMExERUQvCQEyX1dA6w5mj4gEA7+eXKZtunB8ZjmcYJiIiohaJgZjqsV8mDAPnl1Sbk5OPp4fcjJ8md0FbvQ61HkGXCCMMADQMw0RERNQCcQ4xebFrtahyuvFgv25YPfEWPJoWgzYhQUp/XmEFNBpgcvZutDUG4+tT1QgBwzARERG1XBwhJsXlpkmkxkTilbFmTF+7F9VONwCgyu6GJSYS+iAtLD+J5DQJIiIiatE4QkwAGt6OeVthBd7cVoRJlmilLcygw7wR8TAGabiaBBEREbV4DMQEu1aLM3ZXg9sxbyusgLlLOIDzN9aFGnQwBGmgYxgmIiKiVoBTJlSuLgzXrTHcEIfLA0tMJJ4fnQAjOGeYiIiIWg+OEKtY3ZzhYa/mXTEQR5uuw8LRCWgjDMNERETUujAQq1Td0mp10ySutB1zaEgQDBBAGIaJiIiodWEgViG7VouvK2u8bqBrbDvm50cnnL95ziP+vlQiIiKiJsc5xCpTt86wTqvxaq92ur22Yw7V6xCq1yHMoONKEkRERNSqcYRYRepGhotOnsN1el29TTeqnW4s/6QQk7N3fx+GwVFhIiIiat04QqwSl9t0w3KZTTcAwNrdhDCDDnoBIAzERERE1LpxhFgFGtp0I6+wAmsu2XTDEhOJ+aPiYYBAwxvoiIiISAU4QtzKVWu1KK2saXDTjbzCCsy852ZYY0xweQRdI4ycM0xERESqwhHiVsyu1eKbyhpoNJpGjys5VYMwY/D5MMw5w0RERKQyDMStVI1Wi7zCk7DXunGdPqjRY683BiM0JAh6gEurERERkeowELdCDq0WpadrsPGL45icvRsfHShrdNONrhFG6MAd6IiIiEidOIe4lalbZ7ja6cZky00wd43Auv9+jRfG9AYArxvrrN1NF26gA8AwTERERCrFQNyKVF9YTeLiG+hSYyLxwpjemLXhf3igb1dMSo1GW0MwXG4PukQYGYaJiIhI9RiIWwG3VgMnNCitrMHYft3wc8tN+PzrSqzOK1JGhB/o2xXLPykEAPx1Sn90jjAiCGAYJiIiItVjIG7hHBoNzjjcWPivgnojw3WbbmwrrMCk1O/XGg5vE4w2AMMwEREREXhTXYsmWg3c0OB0dS3G9uuG1RNvUbZj3lZYgTcv2nTD4Toffq3dTQgL1jIMExEREV3AEeIWrAYa/C6n/pzhy40M63VaWLubsGBkPHQMw0REREQKjhC3QG6tFjWXuYEOwGVHhq3dTbjJdB1eHBUHA7djJiIiIvLCQNzCODRaVDpcOGt3Nbgd87bCCpi7hAMAwo3BmD8qHqEQ6LjpBhEREVE9DMQtiFurxRmnC/P/VYDiU9WNHls3Mtwlwog2nCJBRERE1CAG4hakxiNY+K8CbCusgF7X+FtXNzJsYBgmIiIiahQDcQvgvDBnuMr5/TSJvSWnG9yO2RrDkWEiIiKiq8VA3MzVarVwCXDO6Ua1w620r84rws9To+uFYmuMCfNHc2SYiIiI6Gpx2bVmzK3VohZARs4X2FZYgVUTUpS+aqcb09fuxSRLNCalRsPh8qBbuzYIM+gYhomIiIh+AI4QN1NSF4bf/ULZfvnSaRLVTjeWf1KIydm78ZedxQzDRERERD8CA3Ez5QBwxu5SwjDQyDSJ7iY8PzqBYZiIiIjoR+CUiWaqyunGGbvLq+3SaRJtQnQQEXSJMDIMExEREf1IDMTN1JmaWoQaguq1102TAID3H7ciNCSIYZiIiIjoGnDKRDMVZgzGiTMOWBpYWs0SE4m2DMNERERE14yBuJlqGxKEDXtKMGd4XL1QbImJxPOjE6BnGCYiIiK6Zpwy0UzpPR7MHNITiz4owM9TozHznptRZXcjzKDjahJEREREPsRA3Iy1EQ8y7umJs043ztprEd4mGG1DgjgyTERERORDqp0y4XA4kJGRgZSUFFgsFqxevTrQl3RZeo8HJp0G0aEhMOk0DMNEREREPqbaEeIXX3wR+fn5yM7OxrFjxzBz5kxERUVhyJAhgb40IiIiIvIjVQbi6upqvPPOO/jjH/+IuLg4xMXF4fDhw3j77bcZiImIiIhURpVTJg4ePAiXywWz2ay0JScnw2azwcMpCURERESqosoR4vLyckRERCAkJERpM5lMcDgcOH36NNq1a3dV59Foru066p5/reehxrHO/sE6+wfr7B+ss3+wzv6h1jr/kNerykBcU1PjFYYBKI+dTudVnycysq1PrsdX56HGsc7+wTr7B+vsH6yzf7DO/sE6N0yVgViv19cLvnWPDQbDVZ+nouIsRH78dWg05z+c13oeahzr7B+ss3+wzv7BOvsH6+wfaq1z3eu+GqoMxB07dkRlZSVcLhd0uvMlKC8vh8FgQFhY2FWfRwQ++WD56jzUONbZP1hn/2Cd/YN19g/W2T9Y54ap8qa6nj17QqfTYd++fUrbnj17kJCQAK1WlSUhIiIiUi1Vpj+j0YhRo0Zh3rx5+N///ofNmzdj9erVePjhhwN9aURERETkZ6qcMgEAs2fPxrx58zBhwgSEhobisccew+DBgwN9WURERETkZ6oNxEajEYsWLcKiRYsCfSlEREREFECqnDJBRERERFSHgZiIiIiIVI2BmIiIiIhUjYGYiIiIiFSNgZiIiIiIVI2BmIiIiIhUjYGYiIiIiFSNgZiIiIiIVI2BmIiIiIhUjYGYiIiIiFRNtVs3+4JG45vnX+t5qHGss3+wzv7BOvsH6+wfrLN/qLXOP+T1akREmu5SiIiIiIiaN06ZICIiIiJVYyAmIiIiIlVjICYiIiIiVWMgJiIiIiJVYyAmIiIiIlVjICYiIiIiVWMgJiIiIiJVYyAmIiIiIlVjICYiIiIiVWMgDhCHw4GMjAykpKTAYrFg9erVgb6kZs3pdGL48OHYuXOn0lZSUoKJEyciKSkJQ4cORV5entdztm/fjuHDhyMxMREPP/wwSkpKvPrXrFkDq9UKs9mMjIwM1NTUKH1qe3/Kysowffp09O3bF1arFQsXLoTD4QDAOvtScXExJk+eDLPZjEGDBmHlypVKH+vcNKZMmYJZs2Ypjw8cOID77rsPiYmJGDNmDPLz872O37hxI+68804kJiZi2rRpOHXqlNInInjppZfQv39/9O3bFy+++CI8Ho/SX1lZicceewxmsxlpaWn4xz/+0fQvMIA2bdqEHj16eP1Mnz4dAOvsS06nE88++yxuueUWDBw4EEuWLEHdJsOssw8JBcRzzz0n6enpkp+fLx999JGYzWZ5//33A31ZzZLdbpdp06ZJbGys7NixQ0REPB6PpKeny4wZM6SwsFBWrFghiYmJUlpaKiIipaWlkpSUJKtWrZJDhw7J448/LsOHDxePxyMiIh988IEkJyfLJ598IjabTYYOHSrPPvus8jvV9P54PB65//775ZFHHpFDhw7Jrl275K677pIXXniBdfYht9stgwcPlhkzZkhRUZFs2bJF+vTpI//85z9Z5yayceNGiY2NlZkzZ4qIyLlz5yQ1NVVeeOEFKSwslMzMTBk4cKCcO3dORERsNpv07t1b3n33XSkoKJDx48fLlClTlPOtWrVKbrvtNtm1a5d89tlnYrFYZOXKlUr/1KlTZcKECfLll1/K+vXrJT4+Xmw2m39ftB+9/vrrMnXqVDlx4oTy891337HOPjZnzhwZPHiw2Gw22b59u/Tr10/Wrl3LOvsYA3EAnDt3ThISEpRwJyLy2muvyfjx4wN4Vc3T4cOHZcSIEZKenu4ViLdv3y5JSUnKf/giIhMmTJBXXnlFRESWLVvmVc/q6moxm83K88eNG6ccKyKya9cu6d27t1RXV6vu/SksLJTY2FgpLy9X2nJzc8VisbDOPlRWViaPP/64nD17VmmbNm2aPPPMM6xzE6isrJRbb71VxowZowTid955R9LS0pR/SHg8Hrnrrrtkw4YNIiLy1FNPKceKiBw7dkx69OghX3/9tYiI3HbbbcqxIiI5OTly++23i4hIcXGxxMbGSklJidKfkZHhdb7WZsaMGfLyyy/Xa2edfaeyslJ69eolO3fuVNqysrJk1qxZrLOPccpEABw8eBAulwtms1lpS05Ohs1m8/q6goD//ve/6NevH/761796tdtsNvTq1Qtt2rRR2pKTk7Fv3z6lPyUlRekzGo2Ii4vDvn374Ha78cUXX3j1JyUloba2FgcPHlTd+9O+fXusXLkSJpPJq72qqop19qEOHTpg2bJlCA0NhYhgz5492LVrF/r27cs6N4FFixZh5MiRiImJUdpsNhuSk5Oh0WgAABqNBn369Gmwzp06dUJUVBRsNhvKyspw/Phx3HLLLUp/cnIySktLceLECdhsNnTq1Ak33HCDV//evXub+JUGzpEjR3DjjTfWa2edfWfPnj0IDQ1F3759lbYpU6Zg4cKFrLOPMRAHQHl5OSIiIhASEqK0mUwmOBwOnD59OnAX1gyNGzcOGRkZMBqNXu3l5eXo0KGDV1tkZCS+/fbbK/afOXMGDofDq1+n0yE8PBzffvut6t6fsLAwWK1W5bHH48Gf//xn9O/fn3VuImlpaRg3bhzMZjPuvvtu1tnHPvvsM+zevRu//vWvvdqvVOcTJ0402F9eXg4AXv11/4is67/cc8vKynzzopoZEUFRURHy8vJw9913484778RLL70Ep9PJOvtQSUkJOnfujJycHAwZMgR33HEHXnvtNXg8HtbZx3SBvgA1qqmp8fqfEwDlsdPpDMQltTgN1bCufo312+125fHl+kVE1e/P4sWLceDAAfztb3/DmjVrWOcm8Morr+DkyZOYN28eFi5cyM+zDzkcDjzzzDOYO3cuDAaDV9+V6my3239QnS+u45XO3docO3ZMec3Lli3DN998g/nz58Nut7POPlRdXY3i4mKsW7cOCxcuRHl5OebOnQuj0cg6+xgDcQDo9fp6H6q6x5f+BU6Xp9fr641uOZ1OpX4N1TgsLAx6vV55fGm/0WiE2+1W7fuzePFiZGdnY+nSpYiNjWWdm0hCQgKA8+Htt7/9LcaMGeO1KgTAOv9Yy5cvR3x8vNe3HnUaquOV6mw0Gr3CwqU1NxqNVzx3a9O5c2fs3LkT119/PTQaDXr27AmPx4OnnnoKffv2ZZ19RKfToaqqCi+//DI6d+4M4Pw/RtauXYtu3bqxzj7EKRMB0LFjR1RWVsLlcilt5eXlMBgMCAsLC+CVtRwdO3bEyZMnvdpOnjypfMXTUH/79u0RHh4OvV7v1e9yuXD69Gm0b99ete9PZmYm3nzzTSxevBh33303ANbZl06ePInNmzd7tcXExKC2thbt27dnnX3kvffew+bNm2E2m2E2m5Gbm4vc3FyYzeZr+jx37NgRAJSvmi/+c11/Q89trcLDw5X5qwDwk5/8BA6H45o+z6yzt/bt20Ov1ythGACio6Nx/Phxfp59jIE4AHr27AmdTqdMfAfOT5xPSEiAVsu35GokJiZi//79ytc+wPkaJiYmKv179uxR+mpqanDgwAEkJiZCq9UiISHBq3/fvn3Q6XS4+eabVfn+LF++HOvWrcOSJUswbNgwpZ119p1vvvkGjz76qNccvPz8fLRr1w7Jycmss4+89dZbyM3NRU5ODnJycpCWloa0tDTk5OQgMTERe/fuVdZwFRF8/vnnDdb5+PHjOH78OBITE9GxY0dERUV59e/ZswdRUVHo0KEDkpKSUFpaqszfrOtPSkryzwv3s61bt6Jfv35e32wUFBQgPDxcufmKdb52iYmJcDgcKCoqUtq++uordO7cmZ9nXwvQ6haqN2fOHBk2bJjYbDbZtGmT9OnTRz788MNAX1azdvGyay6XS4YOHSpPPPGEHDp0SLKysiQpKUlZt7WkpEQSEhIkKytLWbc1PT1dWZ5m48aN0qdPH9m0aZPYbDYZNmyYZGZmKr9LTe9PYWGh9OzZU5YuXeq1nuiJEydYZx9yuVxy7733yqRJk+Tw4cOyZcsWGThwoKxZs4Z1bkIzZ85Uloo6e/as9O/fXzIzM+Xw4cOSmZkpqampynJ3n3/+ucTFxcn69euVdVunTp2qnCsrK0ssFovs2LFDduzYIRaLRVavXq30T5o0ScaPHy8FBQWyfv16SUhIaLXrtp49e1asVqv85je/kSNHjsiWLVvEYrHIG2+8wTr72JQpU+RnP/uZFBQUyH/+8x/p37+/ZGdns84+xkAcINXV1fL0009LUlKSWCwWefPNNwN9Sc3exYFYROTo0aPy4IMPSnx8vAwbNky2bdvmdfyWLVtk8ODB0rt3b5kwYYKy9mKdrKwsGTBggCQnJ8vs2bPFbrcrfWp6f7KysiQ2NvayPyKssy99++23Mm3aNOnTp4+kpqbKH/7wByXUss5N4+JALHJ+s4JRo0ZJQkKC/PSnP5X9+/d7Hb9hwwa57bbbJCkpSaZNmyanTp1S+lwulyxYsEBSUlKkX79+snjxYuX9ExE5efKkTJ06VRISEiQtLU1yc3Ob/gUG0KFDh2TixImSlJQkqamp8uqrryr1YJ1958yZM/LUU09JUlKSDBgwgHVuIhqRC2PtREREREQq1PomkBERERER/QAMxERERESkagzERERERKRqDMREREREpGoMxERERESkagzERERERKRqDMREREREpGoMxERERESkagzEREQt3M6dO9GjR49AXwYRUYvFQExEREREqsZATERERESqxkBMRNSCFBcXY/LkyTCbzRg0aBD+9Kc/KX1r166F1WqF2WzG7Nmz4XQ6AQAighUrViAtLQ3x8fGwWCxYvny58ryHHnoImZmZuOOOOzBo0CBUVVWhpKQEEydORGJiItLT07Fq1SqkpaUpz9m9ezfuvfde9O7dG+np6fjwww+VvmPHjmHSpEkwm80YMGAAMjMzUVtb64fqEBH9OLpAXwAREV0dh8OBSZMmIS4uDuvXr0dJSQlmzJiBJUuWAAA+/PBDrFq1CuXl5Xj00UfRu3dvjB07Fjk5OcjOzsaSJUvQpUsXbN26FfPmzcPtt9+OuLg4AMDf//53rFq1CiEhITAYDJg6dSpiYmKwYcMGFBQUYO7cuYiIiAAAlJeXY+rUqXjyySdhtVqxb98+zJo1C5GRkUhJSUFmZibatGmDnJwcVFRUYPr06bjpppvw4IMPBqx2RESNYSAmImoh8vLycOrUKSxYsAChoaHo3r07fve730GrPf9l3zPPPIPo6GjExsZi4MCBOHjwIACgU6dOWLhwIQYMGAAAGDt2LF577TUcPnxYCcSDBg1Cnz59lN9z/PhxrF+/HqGhoYiJicGhQ4fw3nvvAQDefvttDBw4EOPHjwcAdOvWDQUFBcjOzkZKSgpKS0sRFxeHqKgodOvWDW+88QbCwsL8Wisioh+CgZiIqIUoKipCdHQ0QkNDlbYxY8Zg586dAICuXbsq7W3btlWmTPTv3x82mw0vv/wyjhw5goKCApSXl8Pj8SjHd+7cWfnzl19+We/3JCUlKYH4q6++wr///W+YzWalv7a2FtHR0QCARx55BBkZGdi0aRNuvfVWDB06FL169fJlKYiIfIqBmIiohdDpGv8rOygoyOuxiAAA3nnnHSxYsAD33XcfBg8ejJkzZ+Lhhx/2Olav13udp+65l54LAFwuF9LT0/HLX/7ystc3YsQIDBgwAJs3b8aWLVswffp0/OIXv8CTTz55la+UiMi/eFMdEVELceONN6K4uBg1NTVK26JFizB//vxGn7d27VpMmzYNGRkZGDVqFCIiIlBRUVEv9Nbp3r07jh49iqqqKqVt//79yp+jo6NRXFyMbt26KT8ff/wxcnNzAQBLly5FRUUFxo4di6ysLDzxxBP46KOPruWlExE1KQZiIqIWwmKxwGQyYe7cuThy5Ag+/vhjrFu3DjNmzGj0eREREfjss89QVFSE/Px8PPnkk6itrVWmVFxqwIAB6NSpE+bMmYMjR47ggw8+8FrNYty4ccjPz8fSpUtx9OhR5ObmYsmSJYiKigJwfkrFc889h4MHD+Lw4cP49NNPOWWCiJo1BmIiohZCp9Ph9ddfx4kTJzB69Gg8//zzePrpp2E0Ght9XkZGBqqqqjBy5Eg89thj6NGjB+666y4UFBRc9nitVotXX30VZWVlGDlyJF5//XXce++9CA4OBnB+vvGKFSuwdetWDB8+HMuWLcOsWbMwYsQIAMC8efNgMpnw0EMP4f7770eHDh3wf//3f74tBhGRD2mkoe/MiIhIlSoqKnDgwAFYrValbeXKlfj000/x1ltvBfDKiIiaBkeIiYionl/96lf4y1/+gtLSUmzfvh3Z2dkYMmRIoC+LiKhJcISYiIjq2bx5M37/+9/j6NGjMJlMeOCBBzBlyhRoNJpAXxoRkc8xEBMRERGRqnHKBBERERGpGgMxEREREakaAzERERERqRoDMRERERGpGgMxEREREakaAzERERERqRoDMRERERGpGgMxEREREana/wPvRJXMOoQ5nQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 800x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for num in num_columns:\n",
    "    plt.figure(figsize=(8,8))    \n",
    "    sns.scatterplot(x=num, y=label, data=df)\n",
    "    plt.title(f\"Scatter plot of {num} vs {label}\", fontsize=20)\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d8991ff7",
   "metadata": {},
   "source": [
    "**Plot a `heatmap` for numerical-categorical colummns**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "d0954299",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.heatmap(df.corr(), annot=True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d16842b8",
   "metadata": {},
   "source": [
    "### Pipeline for Feature Engineering"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "07e91a13",
   "metadata": {},
   "outputs": [],
   "source": [
    "cat_columns = df.select_dtypes(exclude=np.number).columns.to_list()\n",
    "num_columns = df.select_dtypes(include=np.number).columns.to_list()\n",
    "features = df.drop(['charges'], axis=1).columns.to_list()\n",
    "label = 'charges'\n",
    "num_columns.remove('charges')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "841dc7c3",
   "metadata": {},
   "source": [
    "### Column Transformer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "8db83d9a",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Combine the transformers into a single ColumnTransformer\n",
    "preprocessor = ColumnTransformer(\n",
    "    transformers=[\n",
    "        ('cat', OneHotEncoder(handle_unknown='ignore'), cat_columns),\n",
    "        ('num', StandardScaler(), num_columns)\n",
    "    ], remainder='passthrough', sparse_threshold=0\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3c8c8f74",
   "metadata": {},
   "source": [
    "### Train Test Validate Split"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "f50c2cf0",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Split the data into training and testing sets\n",
    "X_train, X_test, y_train, y_test = train_test_split(df[features], df[label], test_size=0.2, random_state=42)\n",
    "\n",
    "# Split the training set into training and validation sets\n",
    "X_train, X_val, y_train, y_val = train_test_split(X_train, y_train, test_size=0.2, random_state=42)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "9bfa0c08",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(856, 6)\n",
      "(268, 6)\n",
      "(856,)\n",
      "(268,)\n",
      "(214,)\n",
      "(214, 6)\n"
     ]
    }
   ],
   "source": [
    "print(X_train.shape)\n",
    "print(X_test.shape)\n",
    "print(y_train.shape)\n",
    "print(y_test.shape)\n",
    "print(y_val.shape)\n",
    "print(X_val.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "66023ad7",
   "metadata": {},
   "source": [
    "### Model Buidling\n",
    "<img src=\"images/p132.png\" height=500px width=500px>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "bb9fd265",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>#sk-container-id-1 {color: black;background-color: white;}#sk-container-id-1 pre{padding: 0;}#sk-container-id-1 div.sk-toggleable {background-color: white;}#sk-container-id-1 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-1 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-1 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-1 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-1 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-1 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-1 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-1 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-1 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-1 div.sk-item {position: relative;z-index: 1;}#sk-container-id-1 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-1 div.sk-item::before, #sk-container-id-1 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-1 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-1 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-1 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-1 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-1 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-1 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-1 div.sk-label-container {text-align: center;}#sk-container-id-1 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-1 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>Pipeline(steps=[(&#x27;preprocessor&#x27;,\n",
       "                 ColumnTransformer(remainder=&#x27;passthrough&#x27;, sparse_threshold=0,\n",
       "                                   transformers=[(&#x27;cat&#x27;,\n",
       "                                                  OneHotEncoder(handle_unknown=&#x27;ignore&#x27;),\n",
       "                                                  [&#x27;sex&#x27;, &#x27;smoker&#x27;, &#x27;region&#x27;]),\n",
       "                                                 (&#x27;num&#x27;, StandardScaler(),\n",
       "                                                  [&#x27;age&#x27;, &#x27;bmi&#x27;,\n",
       "                                                   &#x27;children&#x27;])])),\n",
       "                (&#x27;lr&#x27;, LinearRegression())])</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item sk-dashed-wrapped\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" ><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">Pipeline</label><div class=\"sk-toggleable__content\"><pre>Pipeline(steps=[(&#x27;preprocessor&#x27;,\n",
       "                 ColumnTransformer(remainder=&#x27;passthrough&#x27;, sparse_threshold=0,\n",
       "                                   transformers=[(&#x27;cat&#x27;,\n",
       "                                                  OneHotEncoder(handle_unknown=&#x27;ignore&#x27;),\n",
       "                                                  [&#x27;sex&#x27;, &#x27;smoker&#x27;, &#x27;region&#x27;]),\n",
       "                                                 (&#x27;num&#x27;, StandardScaler(),\n",
       "                                                  [&#x27;age&#x27;, &#x27;bmi&#x27;,\n",
       "                                                   &#x27;children&#x27;])])),\n",
       "                (&#x27;lr&#x27;, LinearRegression())])</pre></div></div></div><div class=\"sk-serial\"><div class=\"sk-item sk-dashed-wrapped\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-2\" type=\"checkbox\" ><label for=\"sk-estimator-id-2\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">preprocessor: ColumnTransformer</label><div class=\"sk-toggleable__content\"><pre>ColumnTransformer(remainder=&#x27;passthrough&#x27;, sparse_threshold=0,\n",
       "                  transformers=[(&#x27;cat&#x27;, OneHotEncoder(handle_unknown=&#x27;ignore&#x27;),\n",
       "                                 [&#x27;sex&#x27;, &#x27;smoker&#x27;, &#x27;region&#x27;]),\n",
       "                                (&#x27;num&#x27;, StandardScaler(),\n",
       "                                 [&#x27;age&#x27;, &#x27;bmi&#x27;, &#x27;children&#x27;])])</pre></div></div></div><div class=\"sk-parallel\"><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-3\" type=\"checkbox\" ><label for=\"sk-estimator-id-3\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">cat</label><div class=\"sk-toggleable__content\"><pre>[&#x27;sex&#x27;, &#x27;smoker&#x27;, &#x27;region&#x27;]</pre></div></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-4\" type=\"checkbox\" ><label for=\"sk-estimator-id-4\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">OneHotEncoder</label><div class=\"sk-toggleable__content\"><pre>OneHotEncoder(handle_unknown=&#x27;ignore&#x27;)</pre></div></div></div></div></div></div><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-5\" type=\"checkbox\" ><label for=\"sk-estimator-id-5\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">num</label><div class=\"sk-toggleable__content\"><pre>[&#x27;age&#x27;, &#x27;bmi&#x27;, &#x27;children&#x27;]</pre></div></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-6\" type=\"checkbox\" ><label for=\"sk-estimator-id-6\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">StandardScaler</label><div class=\"sk-toggleable__content\"><pre>StandardScaler()</pre></div></div></div></div></div></div><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-7\" type=\"checkbox\" ><label for=\"sk-estimator-id-7\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">remainder</label><div class=\"sk-toggleable__content\"><pre></pre></div></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-8\" type=\"checkbox\" ><label for=\"sk-estimator-id-8\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">passthrough</label><div class=\"sk-toggleable__content\"><pre>passthrough</pre></div></div></div></div></div></div></div></div><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-9\" type=\"checkbox\" ><label for=\"sk-estimator-id-9\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">LinearRegression</label><div class=\"sk-toggleable__content\"><pre>LinearRegression()</pre></div></div></div></div></div></div></div>"
      ],
      "text/plain": [
       "Pipeline(steps=[('preprocessor',\n",
       "                 ColumnTransformer(remainder='passthrough', sparse_threshold=0,\n",
       "                                   transformers=[('cat',\n",
       "                                                  OneHotEncoder(handle_unknown='ignore'),\n",
       "                                                  ['sex', 'smoker', 'region']),\n",
       "                                                 ('num', StandardScaler(),\n",
       "                                                  ['age', 'bmi',\n",
       "                                                   'children'])])),\n",
       "                ('lr', LinearRegression())])"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.pipeline import Pipeline\n",
    "model =  Pipeline([('preprocessor',preprocessor),\n",
    "                   ('lr', LinearRegression())])\n",
    "model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "82fdac24",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>#sk-container-id-2 {color: black;background-color: white;}#sk-container-id-2 pre{padding: 0;}#sk-container-id-2 div.sk-toggleable {background-color: white;}#sk-container-id-2 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-2 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-2 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-2 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-2 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-2 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-2 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-2 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-2 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-2 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-2 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-2 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-2 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-2 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-2 div.sk-item {position: relative;z-index: 1;}#sk-container-id-2 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-2 div.sk-item::before, #sk-container-id-2 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-2 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-2 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-2 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-2 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-2 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-2 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-2 div.sk-label-container {text-align: center;}#sk-container-id-2 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-2 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-2\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>Pipeline(steps=[(&#x27;preprocessor&#x27;,\n",
       "                 ColumnTransformer(remainder=&#x27;passthrough&#x27;, sparse_threshold=0,\n",
       "                                   transformers=[(&#x27;cat&#x27;,\n",
       "                                                  OneHotEncoder(handle_unknown=&#x27;ignore&#x27;),\n",
       "                                                  [&#x27;sex&#x27;, &#x27;smoker&#x27;, &#x27;region&#x27;]),\n",
       "                                                 (&#x27;num&#x27;, StandardScaler(),\n",
       "                                                  [&#x27;age&#x27;, &#x27;bmi&#x27;,\n",
       "                                                   &#x27;children&#x27;])])),\n",
       "                (&#x27;lr&#x27;, LinearRegression())])</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item sk-dashed-wrapped\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-10\" type=\"checkbox\" ><label for=\"sk-estimator-id-10\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">Pipeline</label><div class=\"sk-toggleable__content\"><pre>Pipeline(steps=[(&#x27;preprocessor&#x27;,\n",
       "                 ColumnTransformer(remainder=&#x27;passthrough&#x27;, sparse_threshold=0,\n",
       "                                   transformers=[(&#x27;cat&#x27;,\n",
       "                                                  OneHotEncoder(handle_unknown=&#x27;ignore&#x27;),\n",
       "                                                  [&#x27;sex&#x27;, &#x27;smoker&#x27;, &#x27;region&#x27;]),\n",
       "                                                 (&#x27;num&#x27;, StandardScaler(),\n",
       "                                                  [&#x27;age&#x27;, &#x27;bmi&#x27;,\n",
       "                                                   &#x27;children&#x27;])])),\n",
       "                (&#x27;lr&#x27;, LinearRegression())])</pre></div></div></div><div class=\"sk-serial\"><div class=\"sk-item sk-dashed-wrapped\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-11\" type=\"checkbox\" ><label for=\"sk-estimator-id-11\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">preprocessor: ColumnTransformer</label><div class=\"sk-toggleable__content\"><pre>ColumnTransformer(remainder=&#x27;passthrough&#x27;, sparse_threshold=0,\n",
       "                  transformers=[(&#x27;cat&#x27;, OneHotEncoder(handle_unknown=&#x27;ignore&#x27;),\n",
       "                                 [&#x27;sex&#x27;, &#x27;smoker&#x27;, &#x27;region&#x27;]),\n",
       "                                (&#x27;num&#x27;, StandardScaler(),\n",
       "                                 [&#x27;age&#x27;, &#x27;bmi&#x27;, &#x27;children&#x27;])])</pre></div></div></div><div class=\"sk-parallel\"><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-12\" type=\"checkbox\" ><label for=\"sk-estimator-id-12\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">cat</label><div class=\"sk-toggleable__content\"><pre>[&#x27;sex&#x27;, &#x27;smoker&#x27;, &#x27;region&#x27;]</pre></div></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-13\" type=\"checkbox\" ><label for=\"sk-estimator-id-13\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">OneHotEncoder</label><div class=\"sk-toggleable__content\"><pre>OneHotEncoder(handle_unknown=&#x27;ignore&#x27;)</pre></div></div></div></div></div></div><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-14\" type=\"checkbox\" ><label for=\"sk-estimator-id-14\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">num</label><div class=\"sk-toggleable__content\"><pre>[&#x27;age&#x27;, &#x27;bmi&#x27;, &#x27;children&#x27;]</pre></div></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-15\" type=\"checkbox\" ><label for=\"sk-estimator-id-15\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">StandardScaler</label><div class=\"sk-toggleable__content\"><pre>StandardScaler()</pre></div></div></div></div></div></div><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-16\" type=\"checkbox\" ><label for=\"sk-estimator-id-16\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">remainder</label><div class=\"sk-toggleable__content\"><pre>[]</pre></div></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-17\" type=\"checkbox\" ><label for=\"sk-estimator-id-17\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">passthrough</label><div class=\"sk-toggleable__content\"><pre>passthrough</pre></div></div></div></div></div></div></div></div><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-18\" type=\"checkbox\" ><label for=\"sk-estimator-id-18\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">LinearRegression</label><div class=\"sk-toggleable__content\"><pre>LinearRegression()</pre></div></div></div></div></div></div></div>"
      ],
      "text/plain": [
       "Pipeline(steps=[('preprocessor',\n",
       "                 ColumnTransformer(remainder='passthrough', sparse_threshold=0,\n",
       "                                   transformers=[('cat',\n",
       "                                                  OneHotEncoder(handle_unknown='ignore'),\n",
       "                                                  ['sex', 'smoker', 'region']),\n",
       "                                                 ('num', StandardScaler(),\n",
       "                                                  ['age', 'bmi',\n",
       "                                                   'children'])])),\n",
       "                ('lr', LinearRegression())])"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# fit the model on training dataset using fit method\n",
    "model.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "bf4e7344",
   "metadata": {},
   "outputs": [],
   "source": [
    "y_pred = model.predict(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "76f910a1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 8416.,  7328., 36800.,  9536., 27488., 10880.,   480., 17184.,\n",
       "         736., 11296., 27776.,  9600.,  5248., 38336., 40256., 37056.,\n",
       "       15136., 35840.,  8960., 31584.,  3456.,  9920.,  2464.,  7040.,\n",
       "       11232., 12544., 14208.,  6272.,  9408.,  2464.,  8640., 13184.,\n",
       "        4736.,  3424.,  4416., 12864.,  1824.,  8544., 33216., 32640.,\n",
       "        3520.,  4800., 13824., 11616.,  8864., 11776.,  5568.,  2816.,\n",
       "       35360.,  9280., 15712.,  2560., 12640.,  1408., 13440., 12160.,\n",
       "        4160., 32416., 13024., 12512., 13824., 10528., 15968.,  7808.,\n",
       "       11424.,  4288., 26336., 10720.,  2336.,  6368., 10528., 11136.,\n",
       "       10944.,  9184., 12064.,  6752.,  6944., 10816.,  6528.,  8288.,\n",
       "        4064., 36192.,  6112., 30528., 35200., 34976.,  7008., 13152.,\n",
       "       10016., 14144., 17120., 34976., 32512.,  5888., 32096.,  9280.,\n",
       "       29472.,  3840., 28288.,  5344.,  5632.,  1856., 11712., 14720.,\n",
       "       11264.,  4576.,  9856., 31584.,  -224., 32544.,  3392., 10496.,\n",
       "       13792., 31264., 11008.,  3968., 12736., 31328.,  8032.,  3648.,\n",
       "        8128., 10880., 14752.,  5952.,  3904., 10336., 10848., 10784.,\n",
       "       14336.,  7808.,  5408.,  9216.,  9280., 12256.,  8192., 15104.,\n",
       "        8288., 31648., 36000., 31264.,  6240., 12224.,  6304., 14624.,\n",
       "        2688., 32576.,  6528.,  4896., 14336.,  6848., 38592.,  3424.,\n",
       "        6272., 31456., 11840.,  8352., 14432.,  9664., 27264., 33152.,\n",
       "       13952.,  1952., 12736.,  2080.,  5312., 11616., 39424., 36544.,\n",
       "       33664.,  3840.,  7040.,  8448., 12352.,  5152.,  1984., 32000.,\n",
       "       25120., 17536., 26368., 10208., 36704.,  -832.,  6944.,  7616.,\n",
       "        3936.,  5504.,  5728.,  4160., 15200., 11392.,  6848.,  2368.,\n",
       "        1280., 31776., 16448., 11936.,  1536., 11936.,  1376.,  8416.,\n",
       "        2144., 34144., 11040.,  2976., 25696., 26368.,  9696.,  1888.,\n",
       "       13408.,   896., 10048., 10304., 16608., 26976.,  6880.,  4928.,\n",
       "        5792., 12832., 10880.,  8352.,  5568., 12736., 13952., 35744.,\n",
       "        4704., 29088., -1024.,  3424., 11008., 15424.,  5536.,  6912.,\n",
       "        3552., 31136.,  7264., 12544.,  5984.,  9472., 36224.,  4736.,\n",
       "        9088., 31008.,  6144.,  4608.,  1536.,  5344.,  4320.,  6432.,\n",
       "       18336., -1120.,  2336., 10464.,  3008.,  9696.,  4064.,  5152.,\n",
       "       12160.,  6688.,  7872.,  7136.,  8928., 10464., 27968., 39008.,\n",
       "       11840.,  7392., 40960., 12000.])"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_pred"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2d104980",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "5f6bd9f8",
   "metadata": {},
   "source": [
    "## Model Evaluarion for Train/Test Split\n",
    "\n",
    "There are several techniques to evaluate a linear regression model. Some of the most commonly used techniques are:\n",
    "\n",
    "<img src=\"images/p1.JPG\" align=\"right\">\n",
    "\n",
    "**Mean Absolute Error (MAE):**\n",
    "\n",
    "- It is the average of the absolute differences between the predicted and actual values. Lower the value of MAE, better the model.\n",
    "\n",
    "**Mean Squared Error (MSE):**\n",
    "\n",
    "- It is the average of the squared differences between the predicted and actual values. Lower the value of MSE, better the model.\n",
    "\n",
    "**Root Mean Squared Error (RMSE):**\n",
    "\n",
    "- It is the square root of the mean squared error. Lower the value of RMSE, better the model.\n",
    "\n",
    "**R-squared:**\n",
    "- It is a statistical measure that represents the proportion of the variance for a dependent variable that's explained by an independent variable or variables. R-squared value ranges from 0 to 1, and the closer it is to 1, the better the model.\n",
    "\n",
    "**Adjusted R-squared:**\n",
    "- It is similar to R-squared, but it adjusts for the number of independent variables in the model. It is a more reliable measure of model fit when the sample size is small or when there are many independent variables.\n",
    "\n",
    "**Residual Plot:**\n",
    "- It is a plot of the residuals (predicted - actual) versus the predicted values. If the model is a good fit, the residuals should be randomly distributed around a horizontal line at zero."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "43a79180",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.metrics import mean_absolute_error, mean_squared_error, r2_score\n",
    "from math import sqrt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "4e87d9f2",
   "metadata": {},
   "outputs": [],
   "source": [
    "mae = mean_absolute_error(y_test, y_pred)\n",
    "mse = mean_squared_error(y_test, y_pred)\n",
    "rmse = sqrt(mean_squared_error(y_test, y_pred))\n",
    "r2 =  r2_score(y_test, y_pred)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "147675b8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.7775350044805981"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "n = len(y_test)\n",
    "p = len(X_train.columns)\n",
    "adjusted_r2 = 1 - (1 - r2) * (n - 1) / (n - p - 1)\n",
    "adjusted_r2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "45c98a27",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train/Test Split Result of Linear Regression .... \n",
      "Mean Absolute Error : 4207.341\n",
      "Mean Squared Error : 33761286.820\n",
      "Root Mean Squared Error : 5810.446\n",
      "R-Squared : 0.783\n",
      "Adjusted R-Squared : 0.778\n"
     ]
    }
   ],
   "source": [
    "print(\"Train/Test Split Result of Linear Regression .... \")\n",
    "print(f\"Mean Absolute Error : {mae:.3f}\")\n",
    "print(f\"Mean Squared Error : {mse:.3f}\")\n",
    "print(f\"Root Mean Squared Error : {rmse:.3f}\")\n",
    "print(f\"R-Squared : {r2:.3f}\")\n",
    "print(f\"Adjusted R-Squared : {adjusted_r2:.3f}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e4f50cea",
   "metadata": {},
   "source": [
    "#### Residual Plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "decedf59",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "residuals = y_test - y_pred\n",
    "plt.scatter(y_pred, residuals)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e2440fef",
   "metadata": {},
   "source": [
    "### Model evaluation based on K-fold cross-validation using `cross_val_score()` function with` validation data`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "e93397c4",
   "metadata": {},
   "outputs": [],
   "source": [
    "model1 =  Pipeline([('preprocessor',preprocessor),\n",
    "                   ('lr', LinearRegression())])\n",
    "nmae = cross_val_score(model1, X_val, y_val, cv=10, scoring='neg_mean_absolute_error')\n",
    "nmse =  cross_val_score(model1, X_val, y_val, cv=10, scoring='neg_mean_squared_error')\n",
    "nrmse =  cross_val_score(model1, X_val, y_val, cv=10, scoring='neg_root_mean_squared_error')\n",
    "r2_ =  cross_val_score(model1, X_val, y_val, cv=10, scoring='r2')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "06fc6d1f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Cross Validation Result of Linear Regression .... \n",
      "Mean Absolute Error : 4863.614\n",
      "Mean Squared Error : 46848461.192\n",
      "Root Mean Squared Error : 6702.412\n",
      "R-Squared : 0.652\n"
     ]
    }
   ],
   "source": [
    "print(\"Cross Validation Result of Linear Regression .... \")\n",
    "print(f\"Mean Absolute Error : {-nmae.mean():.3f}\")\n",
    "print(f\"Mean Squared Error : {-nmse.mean():.3f}\")\n",
    "print(f\"Root Mean Squared Error : {-nrmse.mean():.3f}\")\n",
    "print(f\"R-Squared : {r2_.mean():.3f}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "acfb8c4a",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.10.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}