Decision Tree, Random Forests, and XGBoost - Bank Marketing.ipynb

{
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  {
   "cell_type": "markdown",
   "id": "6ffc35b3",
   "metadata": {},
   "source": [
    "## Problem Statement:  \n",
    "#### In this tutorial, I have worked with the Bank Marketing dataset which is downloaded to predict whether or not a customer will subscribe to a term deposit. I have used decision trees, random forests, and XGBoost to build classification models and evaluate their performance."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "41c6f14a",
   "metadata": {},
   "source": [
    "## Tasks:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "2c3a2452",
   "metadata": {},
   "outputs": [],
   "source": [
    "import warnings\n",
    "warnings.filterwarnings(\"ignore\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "c5ce6598",
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "3b5a30da",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
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      "Requirement already satisfied: pytz>=2020.1 in /Users/jaspreetkaur/anaconda3/lib/python3.11/site-packages (from pandas>=0.24.2->mlxtend) (2022.7)\n",
      "Requirement already satisfied: threadpoolctl>=2.0.0 in /Users/jaspreetkaur/anaconda3/lib/python3.11/site-packages (from scikit-learn>=1.0.2->mlxtend) (2.2.0)\n",
      "Requirement already satisfied: six>=1.5 in /Users/jaspreetkaur/anaconda3/lib/python3.11/site-packages (from python-dateutil>=2.7->matplotlib>=3.0.0->mlxtend) (1.16.0)\n",
      "Note: you may need to restart the kernel to use updated packages.\n"
     ]
    }
   ],
   "source": [
    "pip install mlxtend"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "50a8d08f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
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      "Requirement already satisfied: python-dateutil>=2.7 in /Users/jaspreetkaur/anaconda3/lib/python3.11/site-packages (from matplotlib>=1.4.0->scikit-plot) (2.8.2)\n",
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      "Requirement already satisfied: six>=1.5 in /Users/jaspreetkaur/anaconda3/lib/python3.11/site-packages (from python-dateutil>=2.7->matplotlib>=1.4.0->scikit-plot) (1.16.0)\n",
      "Note: you may need to restart the kernel to use updated packages.\n"
     ]
    }
   ],
   "source": [
    "pip install scikit-plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "9176025f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: xgboost in /Users/jaspreetkaur/anaconda3/lib/python3.11/site-packages (2.0.0)\n",
      "Requirement already satisfied: numpy in /Users/jaspreetkaur/anaconda3/lib/python3.11/site-packages (from xgboost) (1.24.3)\n",
      "Requirement already satisfied: scipy in /Users/jaspreetkaur/anaconda3/lib/python3.11/site-packages (from xgboost) (1.10.1)\n",
      "Note: you may need to restart the kernel to use updated packages.\n"
     ]
    }
   ],
   "source": [
    "pip install xgboost "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "d3fa7a9f",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.preprocessing import LabelEncoder\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.tree import DecisionTreeClassifier\n",
    "from sklearn import tree\n",
    "from sklearn.ensemble import RandomForestClassifier  \n",
    "from sklearn.metrics import accuracy_score, recall_score\n",
    "from sklearn.metrics import f1_score, precision_score\n",
    "from sklearn import tree\n",
    "from sklearn.metrics import classification_report\n",
    "from sklearn.metrics import confusion_matrix  \n",
    "from mlxtend.plotting import plot_learning_curves\n",
    "from xgboost import XGBClassifier  \n",
    "from prettytable import PrettyTable"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "19dd1df0",
   "metadata": {},
   "outputs": [],
   "source": [
    "import scikitplot as skplt\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "0c1f89f1",
   "metadata": {},
   "outputs": [],
   "source": [
    "accuracyScoreList = []\n",
    "precisionScoreList = []\n",
    "recallScoreList = []\n",
    "f1ScoreList = []\n",
    "modelNameInfo = []"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d935300d",
   "metadata": {},
   "source": [
    "##### ● Use bank.csv dataset"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3696e50d",
   "metadata": {},
   "source": [
    "##### ● Load the dataset into a Jupyter notebook or another Python environment of your choice."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "a6b98e6d",
   "metadata": {},
   "outputs": [],
   "source": [
    "BankDataFrame = pd.read_csv(\"data/Bank.csv\") # Read csv file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "d3803ebe",
   "metadata": {},
   "outputs": [
    {
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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>job</th>\n",
       "      <th>marital</th>\n",
       "      <th>education</th>\n",
       "      <th>default</th>\n",
       "      <th>balance</th>\n",
       "      <th>housing</th>\n",
       "      <th>loan</th>\n",
       "      <th>contact</th>\n",
       "      <th>day</th>\n",
       "      <th>month</th>\n",
       "      <th>duration</th>\n",
       "      <th>campaign</th>\n",
       "      <th>pdays</th>\n",
       "      <th>previous</th>\n",
       "      <th>poutcome</th>\n",
       "      <th>y</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>30</td>\n",
       "      <td>unemployed</td>\n",
       "      <td>married</td>\n",
       "      <td>primary</td>\n",
       "      <td>no</td>\n",
       "      <td>1787</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>cellular</td>\n",
       "      <td>19</td>\n",
       "      <td>oct</td>\n",
       "      <td>79</td>\n",
       "      <td>1</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "      <td>unknown</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>33</td>\n",
       "      <td>services</td>\n",
       "      <td>married</td>\n",
       "      <td>secondary</td>\n",
       "      <td>no</td>\n",
       "      <td>4789</td>\n",
       "      <td>yes</td>\n",
       "      <td>yes</td>\n",
       "      <td>cellular</td>\n",
       "      <td>11</td>\n",
       "      <td>may</td>\n",
       "      <td>220</td>\n",
       "      <td>1</td>\n",
       "      <td>339</td>\n",
       "      <td>4</td>\n",
       "      <td>failure</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   age         job  marital  education default  balance housing loan  \\\n",
       "0   30  unemployed  married    primary      no     1787      no   no   \n",
       "1   33    services  married  secondary      no     4789     yes  yes   \n",
       "\n",
       "    contact  day month  duration  campaign  pdays  previous poutcome   y  \n",
       "0  cellular   19   oct        79         1     -1         0  unknown  no  \n",
       "1  cellular   11   may       220         1    339         4  failure  no  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "BankDataFrame.head(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "f1d0ca2e",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>age</th>\n",
       "      <th>balance</th>\n",
       "      <th>day</th>\n",
       "      <th>duration</th>\n",
       "      <th>campaign</th>\n",
       "      <th>pdays</th>\n",
       "      <th>previous</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>4521.000000</td>\n",
       "      <td>4521.000000</td>\n",
       "      <td>4521.000000</td>\n",
       "      <td>4521.000000</td>\n",
       "      <td>4521.000000</td>\n",
       "      <td>4521.000000</td>\n",
       "      <td>4521.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>41.170095</td>\n",
       "      <td>1422.657819</td>\n",
       "      <td>15.915284</td>\n",
       "      <td>263.961292</td>\n",
       "      <td>2.793630</td>\n",
       "      <td>39.766645</td>\n",
       "      <td>0.542579</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>10.576211</td>\n",
       "      <td>3009.638142</td>\n",
       "      <td>8.247667</td>\n",
       "      <td>259.856633</td>\n",
       "      <td>3.109807</td>\n",
       "      <td>100.121124</td>\n",
       "      <td>1.693562</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>19.000000</td>\n",
       "      <td>-3313.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>33.000000</td>\n",
       "      <td>69.000000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>104.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>39.000000</td>\n",
       "      <td>444.000000</td>\n",
       "      <td>16.000000</td>\n",
       "      <td>185.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>49.000000</td>\n",
       "      <td>1480.000000</td>\n",
       "      <td>21.000000</td>\n",
       "      <td>329.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>87.000000</td>\n",
       "      <td>71188.000000</td>\n",
       "      <td>31.000000</td>\n",
       "      <td>3025.000000</td>\n",
       "      <td>50.000000</td>\n",
       "      <td>871.000000</td>\n",
       "      <td>25.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               age       balance          day     duration     campaign  \\\n",
       "count  4521.000000   4521.000000  4521.000000  4521.000000  4521.000000   \n",
       "mean     41.170095   1422.657819    15.915284   263.961292     2.793630   \n",
       "std      10.576211   3009.638142     8.247667   259.856633     3.109807   \n",
       "min      19.000000  -3313.000000     1.000000     4.000000     1.000000   \n",
       "25%      33.000000     69.000000     9.000000   104.000000     1.000000   \n",
       "50%      39.000000    444.000000    16.000000   185.000000     2.000000   \n",
       "75%      49.000000   1480.000000    21.000000   329.000000     3.000000   \n",
       "max      87.000000  71188.000000    31.000000  3025.000000    50.000000   \n",
       "\n",
       "             pdays     previous  \n",
       "count  4521.000000  4521.000000  \n",
       "mean     39.766645     0.542579  \n",
       "std     100.121124     1.693562  \n",
       "min      -1.000000     0.000000  \n",
       "25%      -1.000000     0.000000  \n",
       "50%      -1.000000     0.000000  \n",
       "75%      -1.000000     0.000000  \n",
       "max     871.000000    25.000000  "
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "BankDataFrame.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "9d108285",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 4521 entries, 0 to 4520\n",
      "Data columns (total 17 columns):\n",
      " #   Column     Non-Null Count  Dtype \n",
      "---  ------     --------------  ----- \n",
      " 0   age        4521 non-null   int64 \n",
      " 1   job        4521 non-null   object\n",
      " 2   marital    4521 non-null   object\n",
      " 3   education  4521 non-null   object\n",
      " 4   default    4521 non-null   object\n",
      " 5   balance    4521 non-null   int64 \n",
      " 6   housing    4521 non-null   object\n",
      " 7   loan       4521 non-null   object\n",
      " 8   contact    4521 non-null   object\n",
      " 9   day        4521 non-null   int64 \n",
      " 10  month      4521 non-null   object\n",
      " 11  duration   4521 non-null   int64 \n",
      " 12  campaign   4521 non-null   int64 \n",
      " 13  pdays      4521 non-null   int64 \n",
      " 14  previous   4521 non-null   int64 \n",
      " 15  poutcome   4521 non-null   object\n",
      " 16  y          4521 non-null   object\n",
      "dtypes: int64(7), object(10)\n",
      "memory usage: 600.6+ KB\n"
     ]
    }
   ],
   "source": [
    "BankDataFrame.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "2db176b7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "age          0\n",
       "job          0\n",
       "marital      0\n",
       "education    0\n",
       "default      0\n",
       "balance      0\n",
       "housing      0\n",
       "loan         0\n",
       "contact      0\n",
       "day          0\n",
       "month        0\n",
       "duration     0\n",
       "campaign     0\n",
       "pdays        0\n",
       "previous     0\n",
       "poutcome     0\n",
       "y            0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "BankDataFrame.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "de63d929",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "fbb1a885",
   "metadata": {},
   "source": [
    "##### ● Preprocess the dataset by encoding categorical features and handling missing values, if any. Use the following steps:"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ec9d097f",
   "metadata": {},
   "source": [
    "##### ● a. Convert the categorical features to numerical using one-hot encoding or label encoding, depending on the nature of the feature."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "22b50e04",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Perform label encoding on categorical columns as a part of data preprocessing\n",
    "# so that data converted into numberical form, and understandable for ML algorithms..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "e0c090dc",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>management</td>\n",
       "      <td>single</td>\n",
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       "      <td>yes</td>\n",
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       "      <th>3</th>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>blue-collar</td>\n",
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       "      <td>services</td>\n",
       "      <td>married</td>\n",
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       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>cellular</td>\n",
       "      <td>jul</td>\n",
       "      <td>unknown</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4517</th>\n",
       "      <td>self-employed</td>\n",
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       "      <td>tertiary</td>\n",
       "      <td>yes</td>\n",
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       "    <tr>\n",
       "      <th>4518</th>\n",
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       "    <tr>\n",
       "      <th>4519</th>\n",
       "      <td>blue-collar</td>\n",
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       "      <td>secondary</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>cellular</td>\n",
       "      <td>feb</td>\n",
       "      <td>other</td>\n",
       "      <td>no</td>\n",
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       "    <tr>\n",
       "      <th>4520</th>\n",
       "      <td>entrepreneur</td>\n",
       "      <td>single</td>\n",
       "      <td>tertiary</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "      <td>yes</td>\n",
       "      <td>cellular</td>\n",
       "      <td>apr</td>\n",
       "      <td>other</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4521 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                job  marital  education default housing loan   contact month  \\\n",
       "0        unemployed  married    primary      no      no   no  cellular   oct   \n",
       "1          services  married  secondary      no     yes  yes  cellular   may   \n",
       "2        management   single   tertiary      no     yes   no  cellular   apr   \n",
       "3        management  married   tertiary      no     yes  yes   unknown   jun   \n",
       "4       blue-collar  married  secondary      no     yes   no   unknown   may   \n",
       "...             ...      ...        ...     ...     ...  ...       ...   ...   \n",
       "4516       services  married  secondary      no     yes   no  cellular   jul   \n",
       "4517  self-employed  married   tertiary     yes     yes  yes   unknown   may   \n",
       "4518     technician  married  secondary      no      no   no  cellular   aug   \n",
       "4519    blue-collar  married  secondary      no      no   no  cellular   feb   \n",
       "4520   entrepreneur   single   tertiary      no     yes  yes  cellular   apr   \n",
       "\n",
       "     poutcome   y  \n",
       "0     unknown  no  \n",
       "1     failure  no  \n",
       "2     failure  no  \n",
       "3     unknown  no  \n",
       "4     unknown  no  \n",
       "...       ...  ..  \n",
       "4516  unknown  no  \n",
       "4517  unknown  no  \n",
       "4518  unknown  no  \n",
       "4519    other  no  \n",
       "4520    other  no  \n",
       "\n",
       "[4521 rows x 10 columns]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "object_bank_columns_data = BankDataFrame.select_dtypes(include = object)\n",
    "object_bank_columns_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "006a87f5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([['unemployed', 'married', 'primary', ..., 'oct', 'unknown', 'no'],\n",
       "       ['services', 'married', 'secondary', ..., 'may', 'failure', 'no'],\n",
       "       ['management', 'single', 'tertiary', ..., 'apr', 'failure', 'no'],\n",
       "       ...,\n",
       "       ['technician', 'married', 'secondary', ..., 'aug', 'unknown',\n",
       "        'no'],\n",
       "       ['blue-collar', 'married', 'secondary', ..., 'feb', 'other', 'no'],\n",
       "       ['entrepreneur', 'single', 'tertiary', ..., 'apr', 'other', 'no']],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "object_bank_columns_array = object_bank_columns_data.values\n",
    "object_bank_columns_array"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "3a589de3",
   "metadata": {},
   "outputs": [],
   "source": [
    "for i in range(object_bank_columns_array.shape[1]): \n",
    "    le = LabelEncoder()\n",
    "    Unique_labels = set(object_bank_columns_array[:,i])\n",
    "    Unique_labels = list(Unique_labels)\n",
    "    Unique_labels = np.array(Unique_labels)\n",
    "    le.fit(Unique_labels)\n",
    "    object_bank_columns_array[:,i] = le.transform(object_bank_columns_array[:,i])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "e30e8e89",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[10, 1, 0, ..., 10, 3, 0],\n",
       "       [7, 1, 1, ..., 8, 0, 0],\n",
       "       [4, 2, 2, ..., 0, 0, 0],\n",
       "       ...,\n",
       "       [9, 1, 1, ..., 1, 3, 0],\n",
       "       [1, 1, 1, ..., 3, 1, 0],\n",
       "       [2, 2, 2, ..., 0, 1, 0]], dtype=object)"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "object_bank_columns_array"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "dc712871",
   "metadata": {},
   "outputs": [
    {
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       "      <td>0</td>\n",
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      ],
      "text/plain": [
       "     job marital education default housing loan contact month poutcome  y\n",
       "0     10       1         0       0       0    0       0    10        3  0\n",
       "1      7       1         1       0       1    1       0     8        0  0\n",
       "2      4       2         2       0       1    0       0     0        0  0\n",
       "3      4       1         2       0       1    1       2     6        3  0\n",
       "4      1       1         1       0       1    0       2     8        3  0\n",
       "...   ..     ...       ...     ...     ...  ...     ...   ...      ... ..\n",
       "4516   7       1         1       0       1    0       0     5        3  0\n",
       "4517   6       1         2       1       1    1       2     8        3  0\n",
       "4518   9       1         1       0       0    0       0     1        3  0\n",
       "4519   1       1         1       0       0    0       0     3        1  0\n",
       "4520   2       2         2       0       1    1       0     0        1  0\n",
       "\n",
       "[4521 rows x 10 columns]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "object_bank_columns_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "fe4e1701",
   "metadata": {},
   "outputs": [
    {
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       "      <th>3</th>\n",
       "      <td>30</td>\n",
       "      <td>1476</td>\n",
       "      <td>3</td>\n",
       "      <td>199</td>\n",
       "      <td>4</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>59</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>226</td>\n",
       "      <td>1</td>\n",
       "      <td>-1</td>\n",
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       "    <tr>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>4516</th>\n",
       "      <td>33</td>\n",
       "      <td>-333</td>\n",
       "      <td>30</td>\n",
       "      <td>329</td>\n",
       "      <td>5</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4517</th>\n",
       "      <td>57</td>\n",
       "      <td>-3313</td>\n",
       "      <td>9</td>\n",
       "      <td>153</td>\n",
       "      <td>1</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4518</th>\n",
       "      <td>57</td>\n",
       "      <td>295</td>\n",
       "      <td>19</td>\n",
       "      <td>151</td>\n",
       "      <td>11</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4519</th>\n",
       "      <td>28</td>\n",
       "      <td>1137</td>\n",
       "      <td>6</td>\n",
       "      <td>129</td>\n",
       "      <td>4</td>\n",
       "      <td>211</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4520</th>\n",
       "      <td>44</td>\n",
       "      <td>1136</td>\n",
       "      <td>3</td>\n",
       "      <td>345</td>\n",
       "      <td>2</td>\n",
       "      <td>249</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4521 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      age  balance  day  duration  campaign  pdays  previous\n",
       "0      30     1787   19        79         1     -1         0\n",
       "1      33     4789   11       220         1    339         4\n",
       "2      35     1350   16       185         1    330         1\n",
       "3      30     1476    3       199         4     -1         0\n",
       "4      59        0    5       226         1     -1         0\n",
       "...   ...      ...  ...       ...       ...    ...       ...\n",
       "4516   33     -333   30       329         5     -1         0\n",
       "4517   57    -3313    9       153         1     -1         0\n",
       "4518   57      295   19       151        11     -1         0\n",
       "4519   28     1137    6       129         4    211         3\n",
       "4520   44     1136    3       345         2    249         7\n",
       "\n",
       "[4521 rows x 7 columns]"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# fetch only int and float columns \n",
    "int_float_bank_column_data = BankDataFrame.select_dtypes(include = [int, float])\n",
    "int_float_bank_column_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "9cdf9075",
   "metadata": {},
   "outputs": [
    {
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      ],
      "text/plain": [
       "      age  balance  day  duration  campaign  pdays  previous job marital  \\\n",
       "0      30     1787   19        79         1     -1         0  10       1   \n",
       "1      33     4789   11       220         1    339         4   7       1   \n",
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       "3      30     1476    3       199         4     -1         0   4       1   \n",
       "4      59        0    5       226         1     -1         0   1       1   \n",
       "...   ...      ...  ...       ...       ...    ...       ...  ..     ...   \n",
       "4516   33     -333   30       329         5     -1         0   7       1   \n",
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       "4519   28     1137    6       129         4    211         3   1       1   \n",
       "4520   44     1136    3       345         2    249         7   2       2   \n",
       "\n",
       "     education default housing loan contact month poutcome  y  \n",
       "0            0       0       0    0       0    10        3  0  \n",
       "1            1       0       1    1       0     8        0  0  \n",
       "2            2       0       1    0       0     0        0  0  \n",
       "3            2       0       1    1       2     6        3  0  \n",
       "4            1       0       1    0       2     8        3  0  \n",
       "...        ...     ...     ...  ...     ...   ...      ... ..  \n",
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       "4520         2       0       1    1       0     0        1  0  \n",
       "\n",
       "[4521 rows x 17 columns]"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# concatinate 2 different dataframes of bank data into 1... after preforming necessary \n",
    "# data preprocessing steps., to form final dataset...\n",
    "FinalBankDataFrame = pd.concat([int_float_bank_column_data, \n",
    "                                   object_bank_columns_data], axis =1)\n",
    "FinalBankDataFrame"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "00210967",
   "metadata": {},
   "outputs": [],
   "source": [
    "for column in FinalBankDataFrame.columns:\n",
    "    FinalBankDataFrame[column] =FinalBankDataFrame[column].astype('int')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "841f9942",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 4521 entries, 0 to 4520\n",
      "Data columns (total 17 columns):\n",
      " #   Column     Non-Null Count  Dtype\n",
      "---  ------     --------------  -----\n",
      " 0   age        4521 non-null   int64\n",
      " 1   balance    4521 non-null   int64\n",
      " 2   day        4521 non-null   int64\n",
      " 3   duration   4521 non-null   int64\n",
      " 4   campaign   4521 non-null   int64\n",
      " 5   pdays      4521 non-null   int64\n",
      " 6   previous   4521 non-null   int64\n",
      " 7   job        4521 non-null   int64\n",
      " 8   marital    4521 non-null   int64\n",
      " 9   education  4521 non-null   int64\n",
      " 10  default    4521 non-null   int64\n",
      " 11  housing    4521 non-null   int64\n",
      " 12  loan       4521 non-null   int64\n",
      " 13  contact    4521 non-null   int64\n",
      " 14  month      4521 non-null   int64\n",
      " 15  poutcome   4521 non-null   int64\n",
      " 16  y          4521 non-null   int64\n",
      "dtypes: int64(17)\n",
      "memory usage: 600.6 KB\n"
     ]
    }
   ],
   "source": [
    "FinalBankDataFrame.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a65954b8",
   "metadata": {},
   "source": [
    "##### ● b. Handle missing values in the dataset. You can either drop the rows with missing values or impute them using techniques like mean or median imputation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "91e31369",
   "metadata": {},
   "outputs": [],
   "source": [
    "# this dataset does not contains any null value,, \n",
    "# so it is not necessary to implement any null values handling method...."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ba08a71c",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "f07c5022",
   "metadata": {},
   "source": [
    "##### ● Split the dataset into training and testing sets using a 70/30 split."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "deb1e601",
   "metadata": {},
   "outputs": [
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       "      <td>185</td>\n",
       "      <td>1</td>\n",
       "      <td>330</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>30</td>\n",
       "      <td>1476</td>\n",
       "      <td>3</td>\n",
       "      <td>199</td>\n",
       "      <td>4</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>6</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>59</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>226</td>\n",
       "      <td>1</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>8</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   age  balance  day  duration  campaign  pdays  previous  job  marital  \\\n",
       "0   30     1787   19        79         1     -1         0   10        1   \n",
       "1   33     4789   11       220         1    339         4    7        1   \n",
       "2   35     1350   16       185         1    330         1    4        2   \n",
       "3   30     1476    3       199         4     -1         0    4        1   \n",
       "4   59        0    5       226         1     -1         0    1        1   \n",
       "\n",
       "   education  default  housing  loan  contact  month  poutcome  y  \n",
       "0          0        0        0     0        0     10         3  0  \n",
       "1          1        0        1     1        0      8         0  0  \n",
       "2          2        0        1     0        0      0         0  0  \n",
       "3          2        0        1     1        2      6         3  0  \n",
       "4          1        0        1     0        2      8         3  0  "
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "FinalBankDataFrame.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "c25506ab",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['age', 'balance', 'day', 'duration', 'campaign', 'pdays', 'previous',\n",
       "       'job', 'marital', 'education', 'default', 'housing', 'loan', 'contact',\n",
       "       'month', 'poutcome', 'y'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "FinalBankDataFrame.columns "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "848de454",
   "metadata": {},
   "outputs": [],
   "source": [
    "X_model = FinalBankDataFrame[['age', 'job', 'marital', 'education', 'default', 'balance', 'housing',\n",
    "       'loan', 'contact', 'day', 'month', 'duration', 'campaign', 'pdays',\n",
    "       'previous', 'poutcome']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "1e07b42b",
   "metadata": {},
   "outputs": [],
   "source": [
    "Y_model = FinalBankDataFrame['y']\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "56e051d7",
   "metadata": {},
   "outputs": [],
   "source": [
    "x_train_model, x_test_model, y_train_model, y_test_model = train_test_split(X_model,Y_model,test_size=0.3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "9d719a4b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(3164, 16)"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x_train_model.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "f1cff730",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1357, 16)"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x_test_model.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1ec9ebd6",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "ce89bbe4",
   "metadata": {},
   "source": [
    "##### ● Build a decision tree classifier using scikit-learn's DecisionTreeClassifier and train it on the training set."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "2f35c7e3",
   "metadata": {},
   "outputs": [],
   "source": [
    "decisionTreeObj  =  DecisionTreeClassifier(criterion=\"entropy\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "e6612594",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>#sk-container-id-1 {color: black;}#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>DecisionTreeClassifier(criterion=&#x27;entropy&#x27;)</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\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" checked><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">DecisionTreeClassifier</label><div class=\"sk-toggleable__content\"><pre>DecisionTreeClassifier(criterion=&#x27;entropy&#x27;)</pre></div></div></div></div></div>"
      ],
      "text/plain": [
       "DecisionTreeClassifier(criterion='entropy')"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "decisionTreeObj.fit(x_train_model,y_train_model)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "dd5cbe56",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,8))\n",
    "tree.plot_tree(decisionTreeObj, filled=True, fontsize=10)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0335335a",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "e2193386",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_learning_curves(x_train_model, y_train_model, x_test_model, y_test_model, decisionTreeObj)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b1daee53",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "8a86f409",
   "metadata": {},
   "source": [
    "##### ● Evaluate the performance of the decision tree classifier on the testing set using accuracy, precision, recall, and F1-score."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "7c2be0f0",
   "metadata": {},
   "outputs": [],
   "source": [
    "y_pred_decision_tree = decisionTreeObj.predict(x_test_model)\n",
    "modelNameInfo.append(\"Decision Tree\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "f10c883e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy : 0.8695652173913043\n"
     ]
    }
   ],
   "source": [
    "accuracy_dec_tree_model =  accuracy_score(y_pred_decision_tree, y_test_model)\n",
    "print(\"Accuracy :\", accuracy_dec_tree_model)\n",
    "accuracyScoreList.append(round((accuracy_dec_tree_model * 100.0),2))\n",
    " "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "95fc4d08",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "F1 Score : 0.42718446601941745\n"
     ]
    }
   ],
   "source": [
    "f1_score_dec_tree_model =  f1_score(y_pred_decision_tree, y_test_model)\n",
    "print(\"F1 Score :\", f1_score_dec_tree_model)\n",
    "f1ScoreList.append(f1_score_dec_tree_model)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "1f09040b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Precision : 0.8695652173913043\n"
     ]
    }
   ],
   "source": [
    "precision_dec_tree_model = precision_score(y_pred_decision_tree,y_test_model)\n",
    "print(\"Precision :\", accuracy_dec_tree_model)\n",
    "precisionScoreList.append(precision_dec_tree_model)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "f2989c90",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Recall : 0.42038216560509556\n"
     ]
    }
   ],
   "source": [
    "recall_dec_tree_model = recall_score(y_pred_decision_tree,y_test_model)\n",
    "print(\"Recall :\", recall_dec_tree_model)\n",
    "recallScoreList.append(recall_dec_tree_model)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "abe7f6cc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0])"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "decisionTreeObj.predict([[35, 14, 1, 3,0,7689,1,1,0,29,5,654,2,85,5,3]])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "36c1fdad",
   "metadata": {},
   "source": [
    "##### ● Build a random forest classifier using scikit-learn's RandomForestClassifier and train it on the training set."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "47463476",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>#sk-container-id-2 {color: black;}#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>RandomForestClassifier(criterion=&#x27;entropy&#x27;, n_estimators=10)</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\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-2\" type=\"checkbox\" checked><label for=\"sk-estimator-id-2\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">RandomForestClassifier</label><div class=\"sk-toggleable__content\"><pre>RandomForestClassifier(criterion=&#x27;entropy&#x27;, n_estimators=10)</pre></div></div></div></div></div>"
      ],
      "text/plain": [
       "RandomForestClassifier(criterion='entropy', n_estimators=10)"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Fitting Decision Tree classifier to the training set  \n",
    "\n",
    "randomForestObject= RandomForestClassifier(n_estimators= 10, criterion=\"entropy\")  \n",
    "randomForestObject.fit(x_train_model, y_train_model)  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "3d332ac8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_learning_curves(x_train_model, y_train_model, x_test_model, y_test_model, randomForestObject)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1ce5a5b6",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "f6ad2c19",
   "metadata": {},
   "source": [
    "##### ● Evaluate the performance of the tuned random forest classifier on the testing set using accuracy, precision, recall, and F1-score."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "9f159357",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Predicting the test set result  \n",
    "y_pred_random_forest = randomForestObject.predict(x_test_model)  \n",
    "modelNameInfo.append(\"Random Forest\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "c7c8e803",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "accuracy : 0.8901989683124539\n"
     ]
    }
   ],
   "source": [
    "accuracy_score_random_forest = accuracy_score(y_pred_random_forest,y_test_model)\n",
    "print(\"accuracy :\", accuracy_score_random_forest)\n",
    "accuracyScoreList.append(round((accuracy_score_random_forest * 100.0),2))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "a17f2ef4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "F1 Score : 0.31336405529953915\n"
     ]
    }
   ],
   "source": [
    "f1_score_random_forest =  f1_score(y_pred_random_forest, y_test_model)\n",
    "print(\"F1 Score :\", f1_score_random_forest)\n",
    "f1ScoreList.append(f1_score_random_forest)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "783210fd",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Precision Score : 0.2236842105263158\n"
     ]
    }
   ],
   "source": [
    "precision_score_random_forest =  precision_score(y_pred_random_forest, y_test_model)\n",
    "print(\"Precision Score :\", precision_score_random_forest)\n",
    "precisionScoreList.append(precision_score_random_forest)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "77b70e38",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Recall Score : 0.5230769230769231\n"
     ]
    }
   ],
   "source": [
    "recall_score_random_forest =  recall_score(y_pred_random_forest, y_test_model)\n",
    "print(\"Recall Score :\", recall_score_random_forest)\n",
    "recallScoreList.append(recall_score_random_forest)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "f932cd36",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0])"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "randomForestObject.predict([[35, 14, 1, 3,0,7689,1,1,0,29,5,654,2,85,5,3]])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8d641606",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "9abb46e3",
   "metadata": {},
   "source": [
    "##### ● Build an XGBoost classifier using the xgboost library and train it on the training set."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "df623c17",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>#sk-container-id-3 {color: black;}#sk-container-id-3 pre{padding: 0;}#sk-container-id-3 div.sk-toggleable {background-color: white;}#sk-container-id-3 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-3 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-3 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-3 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-3 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-3 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-3 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-3 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-3 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-3 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-3 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-3 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-3 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-3 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-3 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-3 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-3 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-3 div.sk-item {position: relative;z-index: 1;}#sk-container-id-3 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-3 div.sk-item::before, #sk-container-id-3 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-3 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-3 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-3 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-3 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-3 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-3 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-3 div.sk-label-container {text-align: center;}#sk-container-id-3 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-3 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-3\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>XGBClassifier(base_score=None, booster=None, callbacks=None,\n",
       "              colsample_bylevel=None, colsample_bynode=None,\n",
       "              colsample_bytree=None, device=None, early_stopping_rounds=None,\n",
       "              enable_categorical=False, eval_metric=None, feature_types=None,\n",
       "              gamma=None, grow_policy=None, importance_type=None,\n",
       "              interaction_constraints=None, learning_rate=None, max_bin=None,\n",
       "              max_cat_threshold=None, max_cat_to_onehot=None,\n",
       "              max_delta_step=None, max_depth=None, max_leaves=None,\n",
       "              min_child_weight=None, missing=nan, monotone_constraints=None,\n",
       "              multi_strategy=None, n_estimators=None, n_jobs=None,\n",
       "              num_parallel_tree=None, random_state=None, ...)</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\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-3\" type=\"checkbox\" checked><label for=\"sk-estimator-id-3\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">XGBClassifier</label><div class=\"sk-toggleable__content\"><pre>XGBClassifier(base_score=None, booster=None, callbacks=None,\n",
       "              colsample_bylevel=None, colsample_bynode=None,\n",
       "              colsample_bytree=None, device=None, early_stopping_rounds=None,\n",
       "              enable_categorical=False, eval_metric=None, feature_types=None,\n",
       "              gamma=None, grow_policy=None, importance_type=None,\n",
       "              interaction_constraints=None, learning_rate=None, max_bin=None,\n",
       "              max_cat_threshold=None, max_cat_to_onehot=None,\n",
       "              max_delta_step=None, max_depth=None, max_leaves=None,\n",
       "              min_child_weight=None, missing=nan, monotone_constraints=None,\n",
       "              multi_strategy=None, n_estimators=None, n_jobs=None,\n",
       "              num_parallel_tree=None, random_state=None, ...)</pre></div></div></div></div></div>"
      ],
      "text/plain": [
       "XGBClassifier(base_score=None, booster=None, callbacks=None,\n",
       "              colsample_bylevel=None, colsample_bynode=None,\n",
       "              colsample_bytree=None, device=None, early_stopping_rounds=None,\n",
       "              enable_categorical=False, eval_metric=None, feature_types=None,\n",
       "              gamma=None, grow_policy=None, importance_type=None,\n",
       "              interaction_constraints=None, learning_rate=None, max_bin=None,\n",
       "              max_cat_threshold=None, max_cat_to_onehot=None,\n",
       "              max_delta_step=None, max_depth=None, max_leaves=None,\n",
       "              min_child_weight=None, missing=nan, monotone_constraints=None,\n",
       "              multi_strategy=None, n_estimators=None, n_jobs=None,\n",
       "              num_parallel_tree=None, random_state=None, ...)"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "xgbClassifierModel = XGBClassifier()  \n",
    "xgbClassifierModel.fit(x_train_model, y_train_model) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "3709bf52",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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Q1NT8R+Ly9/fHoUOHkJSUhNGjR/8jcTLqn5cvX0JLS+u9wnB3d8eFCxcwbdo07N69u540Y/wvIZVK0aZNG8TGxiI0NPQf68cY9QP75FSNTz75BCNGjMC8efPwyy+/YNasWTh37hzWrl0LPT09Tm7v3r24cOECpk+fLmekyrCxsUHv3r1VildPT49ndKampuL333/H1KlTeUZqVfz9/WscBLKyshAYGAgrKytIJBI0bdoUw4cPl5s2ffDgAaKiomBtbQ2xWAxjY2N4enriyJEjnMzZs2cREBAAExMTiMViWFhYoGfPnrh79y4nU3XqX7YUoby8HN999x03nQtA6dT/6dOn8emnn8LAwAASiQStW7fGjh07eDKycA8fPozIyEgYGxtDS0sLr1+/xps3b7B27VqEhoYq/JpaWVmJuXPnonHjxpBIJGjXrh2OHj3Kk7l69SoiIiLQrFkzaGlpwdLSEr169ZJbDlJZWYn4+Hg4ODhAU1MTjRo1gqurK5YtW8aTu3LlCkJDQ7l8c3JywooVK5SWmTKys7Ph4+MDQ0NDaGpqonHjxujbty9evnzJybx+/RpxcXFwcnKCRCKBoaEhfH19cfz4cU6mtLQUU6dOhZ2dHUQiESwtLfHFF1+gpKSEF5+trS0CAgKwZ88etG7dGhKJhPviVlhYiOHDh8PKygoikQh2dnaYPXs2ysvL65wuZXTu3Bl+fn6YM2cOnj17Vqv8unXr0KpVK0gkEhgYGCAoKAgXL17kyYSHh0NbWxtXr15Fjx49oK2tDWtra0ycOJG3RAcA3rx5g/j4eDg6OnJtIiIiAg8ePHivdJWWlmLChAkwMzODpqYmvL29Fb7M7t+/H+7u7tDS0oKOjg66du2K/Px8Obkff/wRXbp0gY6ODrS0tODh4YEDBw7wZF6+fIlJkybBzs6Oy5927dph27ZtXL7I6mTVZUmyZUREhJUrV8LNzQ2amprQ19dHcHAwrl+/zovHx8cHLVu2xA8//AAPDw9oaWkhMjLyvfILAAwMDBATE4M9e/bgxIkTtcqrkieyfiQnJwfR0dEwMjKCoaEh+vTpg4KCArkwU1JS4O7uDqlUCm1tbfj5+SksN1WprKzE8uXLuTxt1KgROnbsiP379/Pi7NatG8zNzaGpqQknJyfExMTgxYsX7xVvffWBAFBSUoKJEyfC3t4eYrEYJiYm6NGjBy5duqRUh7KyMoSFhUFbWxvp6ekAaq+j9cGCBQvw559/yvXRirh9+zYGDhzI67e//vprbjkZwF/WsHjxYtjZ2UFbWxvu7u4K66kq4xtDCcSQ4/nz52Rvb0+2trakrq5OI0aMkJMZNmwYAaDLly+rHO6NGzcIAC1YsIDKysqorKyMHj58SGvXriUNDQ2aPn06JxsVFUUA6OLFiyqFvX79egJAN27c4Ny+++47SkhIoP3791NeXh5t2LCBWrVqRQ4ODvTmzRtOzs/Pj4yNjWn16tWUm5tLqampNHPmTNq+fTuXH4aGhtSuXTvasWMH5eXlUUpKCo0YMYIuXLjAhWNjY0NhYWFERHT//n3Kz88nABQcHEz5+fmUn59PREQ5OTkEgHJycji/2dnZJBKJyMvLi1JSUigjI4PCw8MJAK1fv14unZaWlhQVFUWHDh2iXbt2UXl5Of3www8EgA4ePKgw362tralTp060e/du2rlzJ3300UckFArp+PHjnGxeXh5NnDiRdu3aRXl5ebR3717q3bs3aWpq0qVLlzi5hIQEUldXp9jYWDp69ChlZGTQ0qVLadasWZzM+fPnSU9Pj1xcXGjjxo10+PBhmjhxIqmpqfHkauPGjRskkUioa9eulJqaSrm5ubRlyxYaNGgQPX78mIiIysrKyNfXlzQ0NGjSpEl08OBB2r9/P02bNo22bdtGRESVlZXk5+dHGhoaNGPGDDp8+DAtWrSIpFIptW7dmkpLS3llaW5uTvb29rRu3TrKycmhn3/+me7du0fW1tZkY2NDq1atoiNHjtCcOXNILBZTeHg4T+/y8nKuntf0V1FRIVdWCxcupF9//ZUEAgHNmDGDex4bG0sA6MGDB5zbvHnzCAANGDCADhw4QBs3biR7e3vS09Oj//u//+PkwsLCSCQSkZOTEy1atIiOHDlCM2fOJIFAQLNnz+bkKioqqHv37iSVSmn27NmUlZVF33//PVlaWpKzszO9fPlS5bKTIavz1tbWFBgYSGlpabR582Zq2rQp6erq0rVr1zjZLVu2EADq1q0bpaamUkpKCrVt25ZEIhEdO3aMk8vNzSWhUEht27allJQUSk1NpW7dupFAIODaLhHR8OHDSUtLixYvXkw5OTmUnp5O8+fPp+XLlxMR0dWrVyk4OJgAcO00Pz+fqw/Dhg0joVBIEydOpIyMDNq6dSs5OjqSqakpFRYWcvF4e3uTgYEBWVtb0/LlyyknJ4fy8vK4PFWlLpSXl/PyzcbGhnr27EkvX74kS0tL8vLyksvTnTt31jlPZP2Ivb09jR49mjIzM+n7778nfX198vX15ekwd+5cEggEFBkZSenp6bRnzx5yd3cnqVRK58+fr3NdICIaNGgQCQQCGjp0KO3bt48OHTpEc+fOpWXLlnEyc+bMoSVLltCBAwcoNzeXkpKSyM7OTk4/WZuoire3N3l7e3O//44+8OnTp9SiRQuSSqUUFxdHmZmZtHv3bho7dixlZ2fz4l24cCERET1+/Jh8fX3JzMyMTp8+zYVVWx0lett/qVKHysrKeHkRFhZGUqmUiIiCgoKoUaNGVFxczD0HQF988QX3+/79+2RpaUnGxsaUlJREGRkZNGrUKAJA0dHRcnlqa2tL3bt3p9TUVEpNTSUXFxfS19enkpISTlbV8Y2hGGaoKmHr1q0EgMzMzOjZs2dyz7t3704AeIM7kXxjqtrxyiq2or/w8HCerLLwlaHIUFWk161btwgA7du3j3umra1N48aNUxr26dOnCQClpqbWqENVQ1VG9U6ASLGh6ujoSK1bt5brZAICAsjc3JwzZmTpHDx4sFz8CxYsIAC8wZPor3y3sLCgV69ece5Pnz4lAwMD+uSTT5Smqby8nN68eUPNmjWj8ePH8/Ryc3NT6o/o7QuAlZUVPXnyhOc+atQokkgk9OjRoxr9y9i1axcBoF9//VWpzMaNGwkArVmzRqlMRkYGAaDExESee0pKCgGg1atXc242Njakrq4u9yI2fPhw0tbWplu3bvHcFy1aRAB4A7eNjY3S+l71LzY2lvNTfWD7/PPPSSqV0r1794hI3lB9/PgxaWpqUo8ePXj63L59m8RiMYWGhnJuYWFhBIB27NjBk+3Rowc5ODhwv7dt20YAaPfu3Ty5U6dOEQBauXKlgtytGVmdb9OmDVVWVnLuN2/eJKFQSEOHDiWitwadhYUFubi48Az4Z8+ekYmJCXl4eHBuHTt2JBMTE17/VF5eTi1btiQrKysunpYtW1Lv3r1r1O+LL76QM3aIiHvZ/Prrr3nud+7cIU1NTZo8eTLn5u3tTQDo6NGjcuHI8r62v6rGFdFfhioR0Zo1awgApaWl8fK0qqGqap7I+pGRI0fy4ktMTCQAXH27ffs2aWho0OjRo3lyz549IzMzMwoJCVGcoTUge6Gu+mGiNmT9d15eHgGgc+fOcc/qYqjWZx8YFxdHACgrK0up36rt+caNG+Ts7EzOzs508+ZNnpwqdVRWZqr8VaWqoXrp0iVSV1eniRMncs+rj1ExMTEEgE6ePMkLJzo6mgQCAdcnytLm4uLCG7t//vlnAsB9ICBSfXxjKIZN/StANi2jpqaG+/fv49y5cyr7XbZsGYRCIffXqlUrOZmxY8fi1KlTOHXqFHJycjBv3jzs2LEDAwYMqM9k4P79+xgxYgSsra2hoaEBoVAIGxsbAOBNi7Zv3x7JycmIj4/HiRMn5DawNG3aFPr6+pgyZQqSkpJw4cKFetXz6tWruHTpEj7//HMAb9f/yv569OiBe/fuyW2k6Nu3r1w4BQUFEAgEMDIyUhhPnz59IJFIuN86Ojro1asXfvjhB243aHl5OebNmwdnZ2eIRCJoaGhAJBLhypUrcnl27tw5jBw5EpmZmXj69CkvrtLSUhw9ehRBQUHQ0tKSS1NpaalK05gA4ObmBpFIhKioKGzYsEFuyhUADh06BIlEUuNUa3Z2NgDInczQr18/SKVSuSlAV1dXNG/enOeWnp4OX19fWFhY8NIkW4Ocl5fHyaalpXH1vKa/qKgopTrHx8ejrKxM6Uaf/Px8vHr1Si5N1tbW6Ny5s1yaBAIBb0OkLJ23bt3ipbFRo0bo1asXL41ubm4wMzN7r9MqQkNDeTu0bWxs4OHhgZycHADA5cuXUVBQgEGDBvGWr2hra6Nv3744ceIEXr58iRcvXuDkyZMIDg6GtrY2J6euro5Bgwbh7t27XJtp3749Dh06hJiYGOTm5uLVq1cq65ueng6BQICBAwfy8sLMzAytWrWSywt9fX107txZLpxZs2apVBdWrVqlVJeIiAg4OzsjJiaGNwUroy55IuPTTz/l/XZ1dQUArj5kZmaivLwcgwcP5qVfIpHA29v7nerCoUOHAABffPFFjXLXr19HaGgozMzMoK6uDqFQCG9vbwCQW9aiKvXZBx46dAjNmzfHJ598Umu8Z86cQceOHWFqaoqffvqJG4dkqFJHe/XqpVIdOnXqlFI9HBwcMGTIEHz77be4ffu2Qpns7Gw4Ozujffv2PPfw8HAQEdePyujZsyfU1dW539Xr0LuMbww+bDOVAhYtWoT8/Hxs374dsbGxiIyMxK+//spbgN24cWMAbytj1cE8NDQUnTp1AgAMHz5cbu0bAFhZWaFdu3bcbx8fHwgEAkydOhWZmZnw8/Pjwr9x4wYcHR3rnIbKykp069YNBQUFmDFjBlxcXCCVSlFZWYmOHTvyOoKUlBTEx8fj+++/x4wZM6CtrY2goCAkJibCzMwMenp6yMvLw9y5czFt2jQ8fvwY5ubmGDZsGL766qv33tBVVFQEAJg0aRImTZqkUKb6ulpzc3M5mVevXkEoFPI6jaqYmZkpdHvz5g2eP38OPT09TJgwAStWrMCUKVPg7e0NfX19qKmpYejQobw8mzp1KqRSKTZv3oykpCSoq6vj448/xoIFC9CuXTsUFxejvLwcy5cvx/Lly1VKkzKaNGmCI0eOIDExEV988QVevHgBe3t7jBkzBmPHjgXwdp2xhYVFjScdFBcXQ0NDA8bGxjx3gUAAMzMzFBcX89wV5XFRURHS0tKUlnnVNDk7O4OIak1fTTrb2tpi5MiR+PbbbzFhwgS55zKdFelqYWGBrKwsnpuWlhZvoAYAsViM0tJS7ndRURFKSkogEokU6vQ+R2Mpq4Oyl+Ha0lNZWYnHjx+D3s6GKZWrGtY333wDKysrpKSkYMGCBZBIJPDz88PChQvRrFmzGvUtKioCEcHU1FThc3t7e95vRfoAb/tLKyurGuMCIHfMUlXU1dUxb9489O7dGxs2bICdnR3vuSxfVMkTGYaGhrzfYrEYALi2LuubPvroI4U6vcvJIg8ePIC6urrCuiDj+fPn8PLygkQiQXx8PJo3bw4tLS3cuXMHffr0qdPLRlXqsw988OABN07VRlZWFh4+fIjFixejUaNGcs9VqaMGBga8fSLvyqxZs7B582bMmDEDGzZskHteXFwMW1tbOff3rUN1Gd8YfJihWo0LFy5g5syZGDx4MD777DPY2NjA09MT06dPx+LFizm5rl27YvXq1di/fz+v8pmYmMDExATA27dVRYaqImRvYefOnYOfnx/8/PywevVqpKamIiYmps7p+OOPP3Du3DkkJycjLCyMc7969aqcrJGREZYuXYqlS5fi9u3b2L9/P2JiYnD//n1kZGQAAFxcXLB9+3YQEX777TckJycjLi4Ompqa76Rf9fiBt8afst36Dg4OvN+KBjQjIyO8efMGL168gFQqlXteWFio0E0kEnFfYDZv3ozBgwdj3rx5PLmHDx/yOlgNDQ1MmDABEyZMQElJCY4cOYJp06bBz88Pd+7cgb6+PvclR9mXk+oDbU14eXnBy8sLFRUVOH36NJYvX45x48bB1NQU/fv3h7GxMX788UdUVlYqHTwNDQ1RXl6OBw8e8IxVIkJhYaHcYKwsj11dXTF37lyFccg6c+CtgV31S6UyYmNjazzD86uvvsK6deswbdo0tGjRQi5NAHDv3j05fwUFBUq/rteEbGONrO5XR0dHp85hylBWB2XpqC09ampq0NfXBxFBTU1NqZwsHcDbHc+zZ8/mjrWTfbnq1atXjZteZGEIBAIcO3aMG4CrUt1NmaEZGRmp0CioTm1fKQMDA+Hp6YnY2FisXr2a90xmUKmSJ6oik9+1a5fcV8B3xdjYGBUVFSgsLFRq2GdnZ6OgoAC5ubncV1QAcpse60p99oHGxsa8zbQ18eWXX+LatWvcl+nBgwfznqtSRzds2ICIiAiV4qvpBdnc3Bzjxo3D/PnzMXHiRLnnhoaGf0sdqsv4xuDDDNUqlJeXIywsDEZGRtzOwI4dO2LChAlYvHgx+vbtC09PTwBAUFAQnJ2dMW/ePAQEBLzTV8+q/PrrrwDAGbmBgYFwcXFBQkICAgICFO78z8zMhJeXl8Kd/7IBo/pAUtPUGvD2y8eoUaNw9OhR/PTTTwrDbdWqFZYsWYLk5GTepQPvioODA5o1a4Zz587JdY51QVYG165d4wz/quzZswcLFy7kvqg9e/YMaWlp8PLy4r7CCgQCuTw7cOAA/vzzTzRt2lRhvI0aNUJwcDD+/PNPjBs3Djdv3oSzszN8fX1x9uxZuLq6Kv06V1fU1dXRoUMHODo6YsuWLThz5gz69+8Pf39/bNu2DcnJyUqn/7t06YLExERs3rwZ48eP59x3796NFy9eoEuXLrXGHxAQgIMHD6JJkybQ19evUTYtLU2lF7Wqxq0iDA0NMWXKFEyfPl1ux7O7uzs0NTWxefNm9OvXj3O/e/cusrOzERwcXGv81QkICMD27dtRUVGBDh061Nl/TWzbtg0TJkzg2uetW7dw/PhxbuB2cHCApaUltm7dikmTJnFyL168wO7du7mTAACgQ4cO2LNnDxYtWsTN9lRWVmLz5s2wsrKSW7YBAKampggPD8e5c+ewdOlS7vioql+Bqs4cBQQEYP78+fjzzz8REhLyzumeNWuWSoeqq/ISsGDBAnTq1AnffPMNz10qlb5TntSEn58fNDQ0cO3aNYXLjd4Ff39/JCQk4LvvvkNcXJxCmXftv2ujPvtAf39/zJw5E9nZ2QqXe1RFTU0Nq1atgra2NsLDw/HixQtER0crlFVWR2VT//XBlClTsHr1aoUfWbp06YKEhAScOXOGd9b3xo0bIRAI4OvrW6e46mt8+1+GGapVSEhIwOnTp3Ho0CHem+OcOXOQlpbGWwKgrq6O1NRU+Pn5oX379hg2bBh8fHygr6+PkpISnDx5EufOnVN4dNXt27e59YkvXrxAfn4+EhISYGNjw71xqaurY+/evejWrRvc3d0RHR0NX19fSKVS3Lp1C7t27UJaWhoeP36sMC2Ojo5o0qQJYmJiQEQwMDBAWlqa3FTokydP4Ovri9DQUDg6OkJHRwenTp1CRkYGp0t6ejpWrlyJ3r17w97eHkSEPXv2oKSkBF27dq2PrMeqVavg7+8PPz8/hIeHw9LSEo8ePcLFixdx5swZ7Ny5s9YwZDexnDhxQqGhqq6ujq5du2LChAmorKzEggUL8PTpU976x4CAACQnJ8PR0RGurq745ZdfsHDhQrlpy169eqFly5Zo164djI2NcevWLSxduhQ2NjbcVNWyZcvQqVMneHl5ITo6Gra2tnj27BmuXr2KtLQ0ubVOykhKSkJ2djZ69uyJxo0bo7S0FOvWrQMAbn3YgAEDsH79eowYMQKXL1+Gr68vKisrcfLkSTg5OaF///7o2rUr/Pz8MGXKFDx9+hSenp747bffEBsbi9atW2PQoEG16hIXF4esrCx4eHhgzJgxcHBwQGlpKW7evImDBw8iKSmJyysXFxeV0qcK48aNw4oVK7j1fTIaNWqEGTNmYNq0aRg8eDAGDBiA4uJizJ49GxKJBLGxsXWOq3///tiyZQt69OiBsWPHon379hAKhbh79y5ycnIQGBiIoKAgAG+POYqIiMD69evl1skq4v79+wgKCsKwYcPw5MkTxMbGQiKRYOrUqQDeDuiJiYn4/PPPERAQwC0fWrhwIUpKSjB//nwurISEBHTt2hW+vr6YNGkSRCIRVq5cyZ3JLDN2OnTogICAALi6ukJfXx8XL17Epk2beEavrKwWLFgAf39/qKurw9XVFZ6enoiKikJERAROnz6Njz/+GFKpFPfu3cOPP/4IFxcXpQZHVWxtbRVOp74Lnp6eCAwMxL59++SeqZonqmJra4u4uDhMnz4d169fR/fu3aGvr4+ioiL8/PPP3JdA4O1xRXZ2dggLC6vxYHkvLy8MGjQI8fHxKCoqQkBAAMRiMc6ePQstLS2MHj0aHh4e0NfXx4gRIxAbGwuhUIgtW7bUab+EIuqzDxw3bhxSUlIQGBiImJgYtG/fHq9evUJeXh4CAgIUGnRff/01dHR0MHLkSDx//hxffvklANXqqKGhodw0+7uiq6uL6dOn817YZYwfPx4bN25Ez549ERcXBxsbGxw4cAArV65EdHR0nV92gLqNb7J20pC3TH5wNMwerg+PX3/9lYRCIQ0bNkzh8/z8fFJTU+PteiQievLkCc2bN48++ugj0tXVJQ0NDTIxMaGuXbvSihUr6MWLF5ysol3/EomEmjdvTuPGjeN2mlalpKSE5syZQ23atCFtbW0SCoXUuHFjGjhwIP3000+cnKJd/xcuXKCuXbuSjo4O6evrU79+/ej27du8ndalpaU0YsQIcnV1JV1dXdLU1CQHBweKjY3ldL906RINGDCAmjRpQpqamqSnp0ft27en5ORknq7vs+ufiOjcuXMUEhJCJiYmJBQKyczMjDp37kxJSUly6Tx16pTCcvLy8pLbAV71WLDZs2eTlZUViUQiat26NWVmZvJkHz9+TEOGDCETExPS0tKiTp060bFjx+R20X799dfk4eFBRkZGJBKJqHHjxjRkyBC53aw3btygyMhIsrS0JKFQSMbGxuTh4UHx8fEK9VdEfn4+BQUFkY2NDYnFYjI0NCRvb2/av38/T+7Vq1c0c+ZMatasGYlEIjI0NKTOnTvzjp559eoVTZkyhWxsbEgoFJK5uTlFR0dzx1zJqLrbujoPHjygMWPGkJ2dHQmFQjIwMKC2bdvS9OnT6fnz5yqnSxHVd/1XZfXq1Vy7qXo8FRHR999/T66uriQSiUhPT48CAwPljg6quvu3Kop2TZeVldGiRYuoVatWJJFISFtbmxwdHWn48OF05coVTm758uUEgDIyMmpMl6zOb9q0icaMGUPGxsYkFovJy8uLd0yPjNTUVOrQoQNJJBKSSqXUpUsXXnuXcezYMercuTNJpVLS1NSkjh07crviZcTExFC7du1IX1+fxGIx2dvb0/jx4+nhw4eczOvXr2no0KFkbGxMAoFAri9Zt24ddejQgYunSZMmNHjwYJ7u3t7e1KJFixrzoa4oq4cXLlwgdXV1uV3/RKrlibJ+RFnflJqaSr6+vqSrq0tisZhsbGwoODiYjhw5wsn8/vvvBIBiYmJqTVdFRQUtWbKEWrZsydVZd3d3np7Hjx8nd3d30tLSImNjYxo6dCidOXNG7kijuuz6r88+UCY7duxYaty4MQmFQjIxMaGePXtyx1gpa88LFy4kADRz5kwiUq2OvivK2v3r16/Jzs5O4Rh169YtCg0NJUNDQxIKheTg4EALFy5UepRedaqOsTJUGd+IiIyMjKhjx47vkeL/HgIiFXY7MBj/Enbv3o3PPvsMt27dgqWlZUOrw/iPExISghs3btTblCTj38vKlSsxefJkXLt2TenmMwajJi5cuIAWLVogPT0dPXv2bGh1PhjY8VSM/xR9+vTBRx99hISEhIZWhfEfh4iQm5urdGMZ43+LnJwcjBkzhhmpjHcmJycH7u7uzEitBvuiyvjP8ccff3AnF7zL8TH/JBUVFTXuUBUIBEqP22IwGAwG478OM1QZjAbE1ta2xiOc3vVQcQaDwWAw/guwXf8MRgNS2xFO73NmJ4PBYDAY/3bYF1UGg8FgMBgMxgfJh72Aj8FgMBgMBoPxPwszVBn/GcLDw+vtUPGGRiAQ1Hit6Pvg4+Oj8Kazd+XmzZsQCAQ1HnL+T1JfeZecnAyBQACJRKJwHXF95+O/kQ+t7N+HWbNm1flCAFXJzc2FQCDArl27/pbw/04aooxZ22NUhRmqDAaDUQOvX7/GV1991dBqMBj/c7C2xwCYocpgMBg10r17d2zduvW9r69kMBh1g7U9BsAMVUYDU1lZieXLl8PNzQ2amppo1KgROnbsiP379/NkEhMT4ejoCLFYDBMTEwwePBh3796tNfydO3eiQ4cO0NPTg5aWFuzt7REZGck9Ly0txcSJE+Hm5gY9PT0YGBjA3d1d4T3iAoEAo0aNwvr16+Hg4ABNTU20a9cOJ06cABFh4cKFsLOzg7a2Njp37oyrV6/y/Mumq44dO4aOHTtCU1MTlpaWmDFjBioqKmpNS2FhIYYPHw4rKyuIRCLY2dlh9uzZKC8vr9WvImrSg4jQrFkz+Pn5yfl7/vw59PT08MUXX9QY/pUrVxAaGgoTExOIxWI4OTlhxYoV3PMHDx5AJBJhxowZcn4vXboEgUCAb7755m9Lv6pMnjwZhoaGmDJlSq2ypaWlmDp1Kuzs7CASiWBpaYkvvvgCJSUlPDlbW1sEBAQgIyMDbdq0gaamJhwdHbFu3Tq5MP+OdF+6dAkDBgyAqakpxGIxGjdujMGDB/NOoPjjjz8QGBgIfX19SCQSuLm5YcOGDbWG/eDBA0RFRcHa2hpisRjGxsbw9PTEkSNHOJmsrCwEBgbCysoKEokETZs2xfDhw/Hw4UNeWLLp+N9++w39+vXj2uiECRNQXl6Oy5cvo3v37tDR0YGtrS0SExN5/mVT7ps3b8aECRNgZmYGTU1NeHt74+zZsyrlVUpKCtzd3SGVSqGtrQ0/Pz+V/VantLS0Rj02bdoEgUCA/Px8Ob9xcXEQCoUoKCgA8Fd/curUKXh5eXH92/z581FZWcnze/v2bQwcOJDXFr/++ms5uYKCAoSEhEBHRwd6enr47LPPUFhYqDAtp0+fxqeffgoDAwNIJBK0bt0aO3bseKd8UcZ/se0x3oGGubmVwXjLoEGDSCAQ0NChQ2nfvn106NAhmjt3Li1btoyTiYqKIgA0atQoysjIoKSkJDI2NiZra2vene9hYWFkY2PD/T5+/DgJBALq378/HTx4kLKzs2n9+vU0aNAgTqakpITCw8Np06ZNlJ2dTRkZGTRp0iRSU1OjDRs28HQFQDY2NuTh4UF79uyhvXv3UvPmzcnAwIDGjx9PgYGBlJ6eTlu2bCFTU1NydXWlyspKzr+3tzcZGhqShYUFffPNN5SZmUljxoxReNc0qt0Vfe/ePbK2tiYbGxtatWoVHTlyhObMmUNisZjCw8PrlOeq6rFs2TISCAT0f//3fzz/K1asIAB0/vx5Ivrrzuuq94+fP3+e9PT0yMXFhTZu3EiHDx+miRMnkpqaGs2aNYuTCwoKImtra94d2kREkydPJpFIxN31XZf0V887IqKysjKV/qqWV9X74JctW0YA6OjRo7x8rHq3fWVlJfn5+ZGGhgbNmDGDDh8+TIsWLSKpVEqtW7em0tJSTtbGxoasrKzI2dmZNm7cSJmZmdSvXz8CQHl5eZxcfZa7jF9//ZW0tbXJ1taWkpKS6OjRo7R582YKCQmhp0+fEhHRpUuXSEdHh5o0aUIbN26kAwcO0IABA7j74mUoKns/Pz8yNjam1atXU25uLqWmptLMmTNp+/btnMx3331HCQkJtH//fsrLy6MNGzZQq1atyMHBgd68ecPJye6xd3BwoDlz5lBWVhZNnjyZ6w8cHR3pm2++oaysLIqIiCAAtHv3bs5/Tk4OASBra2sKDAyktLQ02rx5MzVt2pR0dXXp2rVrcnFVZe7cuSQQCCgyMpLS09Npz5495O7uTlKplKv/qqCqHq9fvyYzMzP6/PPPef7LysrIwsKC+vXrx7nJ2nGzZs0oKSmJsrKyaOTIkQSA13fdv3+fLC0tydjYmJKSkigjI4NGjRpFACg6OpqTe/nyJTk5OZGenh4tX76c6xcaN24sV8bZ2dkkEonIy8uLUlJSKCMjg8LDw+XkZLqztsd4H5ihymgwfvjhBwJA06dPVypz8eJFAkAjR47kuZ88eZIA0LRp0zi36obqokWLCACVlJSorFN5eTmVlZXRkCFDqHXr1rxnAMjMzIyeP3/OuaWmphIAcnNz43W0S5cuJQD022+/cW7e3t4EgPbt28cLd9iwYaSmpka3bt3ixVXV2Bo+fDhpa2vzZKqmsS6Dpqp6PH36lHR0dGjs2LE8OWdnZ/L19eV+KzNWrKys6MmTJzy/o0aNIolEQo8ePSIiov379xMAOnz4MCdTXl5OFhYW1Ldv33dKf/W8k+mnyl9OTg7nr+pg+fr1a7K3t6d27dpx5Vx9sMzIyCAAlJiYyNMxJSWFANDq1as5NxsbG5JIJLz0vHr1igwMDGj48OHvlG5V6dy5MzVq1Iju37+vVKZ///4kFovp9u3bPHd/f3/S0tLi2pSistfW1qZx48aprE9lZSWVlZXRrVu35OqlzHj8+uuveX7c3NwIAO3Zs4dzKysrI2NjY+rTpw/nJjMQ27Rpw2ufN2/eJKFQSEOHDpWLS8bt27dJQ0ODRo8ezYv72bNnZGZmRiEhISqnsa56iEQiKioq4txkdaiqISVrxydPnuTF5ezsTH5+ftzvmJgYhXLR0dEkEAjo8uXLRPT25UFZv1C9jB0dHal169ZUVlbGkw0ICCBzc3PuxZO1PUZ9wKb+GQ3GoUOHAKDGKeScnBwAb3f0V6V9+/ZwcnLC0aNHlfr96KOPAAAhISHYsWMH/vzzT4VyO3fuhKenJ7S1taGhoQGhUIi1a9fi4sWLcrK+vr6QSqXcbycnJwCAv78/b8ewzL36jlUdHR18+umnPLfQ0FBUVlbihx9+UJqW9PR0+Pr6wsLCAuXl5dyfv78/ACAvL0+pX0WoooeOjg4iIiKQnJyMFy9eAACys7Nx4cIFjBo1SmnYpaWlOHr0KIKCgqClpcXTt0ePHigtLcWJEycAvM03MzMzrF+/nvOfmZmJgoIC3hKN90m/hYUFTp06pdJf27ZtFYYhEokQHx+P06dPK53ezM7OBiBfV/v16wepVCpXV93c3NC4cWPut0QiQfPmzXl1pr7L/eXLl8jLy0NISAiMjY2VymVnZ6NLly6wtrbmuYeHh+Ply5cKp6ZltG/fHsnJyYiPj8eJEydQVlYmJ3P//n2MGDEC1tbWXJuzsbEBAIXtLiAggPfbyckJAoGAywcA0NDQQNOmTRXuEg8NDeW1TxsbG3h4eHD9iyIyMzNRXl6OwYMH8/JeIpG8841xqugRHR0NAFizZg3n9u2338LFxQUff/wxLzwzMzO0b9+e5+bq6srLg+zsbDg7O8vJhYeHg4i4epuTk6O0X6jK1atXcenSJXz++ecAINe+7927h8uXLwNgbY9RP7CbqRgNxoMHD6Curg4zMzOlMsXFxQAAc3NzuWcWFhY1Xj/68ccfIzU1Fd988w23/q5FixaYPn06BgwYAADYs2cPQkJC0K9fP3z55ZcwMzODhoYGvvvuO4VrlgwMDHi/RSJRje6lpaU8d1NTU7kwZemXpVURRUVFSEtLg1AoVPi8+tq+2lBVj9GjR+Pbb7/Fli1bEBUVhW+//RZWVlYIDAxUGnZxcTHKy8uxfPlyLF++vEZ9NTQ0MGjQICxfvhwlJSVo1KgRkpOTYW5uzlsf+z7pF4lEcHNzU/q8Kurq6kqf9e/fH4sWLcL06dPRp08fuefFxcXQ0NCQMwAFAgHMzMzkytfQ0FAuDLFYjFevXnG/67vcHz9+jIqKClhZWdUoV1xcrLTNyZ4rIyUlBfHx8fj+++8xY8YMaGtrIygoCImJiTAzM0NlZSW6deuGgoICzJgxAy4uLpBKpaisrETHjh156ZehqH1paWlBIpHIuT99+lTOv6I+xszMrMZNOkVFRQD+euGtjppa3b/zqKKHqakpPvvsM6xatQoxMTE4f/48jh07hlWrVsn5VaUOFRcXKzy2r3pZFhcX19gvyJDly6RJkzBp0iRFyeTqJWt7jPqAGaqMBsPY2BgVFRUoLCxUOCgCf3Uo9+7dkxtcCwoKYGRkVGMcgYGBCAwMxOvXr3HixAkkJCQgNDQUtra2cHd3x+bNm2FnZ4eUlBTel46arjV9H2SdfFVkmxUUdZ4yjIyM4Orqirlz5yp8Lht06luPpk2bwt/fHytWrIC/vz/279+P2bNn1zio6OvrQ11dHYMGDVL6tdzOzo77f0REBBYuXIjt27fjs88+w/79+zFu3DheHO+T/ps3b/Liq4mcnBz4+PgofCYQCLBgwQJ07doVq1evlntuaGiI8vJyPHjwgDdgEhEKCwuVGjw1Ud/lbmBgAHV19Vo3IhoaGuLevXty7rKNPDW1OyMjIyxduhRLly7F7du3sX//fsTExOD+/fvIyMjAH3/8gXPnziE5ORlhYWGcv+qbD+sTRRuCCgsLa21zALBr1y7ua+8/pcfYsWOxadMm7Nu3DxkZGWjUqBH3BbOuqFqWhoaG+Pnnn2vVWSY/depUhUYjADg4OABgbY9RPzBDldFg+Pv7IyEhAd999x3i4uIUynTu3BkAsHnzZl5nc+rUKVy8eBHTp09XKS6xWAxvb280atQImZmZOHv2LNzd3SEQCCASiXhGamFhocJd//XBs2fPsH//ft702tatW6GmpiY3rVeVgIAAHDx4EE2aNIG+vv4/qsfYsWPRrVs3hIWFQV1dHcOGDasxbC0tLfj6+uLs2bNwdXXlvi4rw8nJCR06dMD69etRUVGB169fIyIigifzPumXTT+qgmyAVcYnn3yCrl27Ii4uTm5avEuXLkhMTMTmzZsxfvx4zn337t148eIFunTpUie9gfovd9lO8507d2Lu3LlKDc4uXbpg7969KCgo4A3IGzduhJaWFjp27KhSfI0bN8aoUaNw9OhR/PTTTwDAtTWxWMyTVfTFsL7Ytm0bJkyYwMV969YtHD9+HIMHD1bqx8/PDxoaGrh27Rr69u37j+rRtm1beHh4YMGCBfjjjz8QFRXFW3JUF7p06YKEhAScOXMGbdq04dw3btwIgUAAX19fAG+XNe3YsUNhv1AVBwcHNGvWDOfOncO8efNqjJu1PUZ9wAxVRoPh5eWFQYMGIT4+HkVFRQgICIBYLMbZs2ehpaWF0aNHw8HBAVFRUVi+fDnU1NTg7++PmzdvYsaMGbC2tuZ1StWZOXMm7t69iy5dusDKygolJSVYtmwZhEIhvL29AbztjPbs2YORI0ciODgYd+7cwZw5c2Bubo4rV67Ue5oNDQ0RHR2N27dvo3nz5jh48CDWrFmD6Oho3pqp6sTFxSErKwseHh4YM2YMHBwcUFpaips3b+LgwYNISkqqdTr3XfXo2rUrnJ2dkZOTwx1xUxvLli1Dp06d4OXlhejoaNja2uLZs2e4evUq0tLSuDVlMiIjIzF8+HAUFBTAw8NDbtB6n/SLRCK0a9dO5bypjQULFqBt27a4f/8+WrRowbl37doVfn5+mDJlCp4+fQpPT0/89ttviI2NRevWrTFo0KA6x1WXdIeHh2PDhg24ceNGjTe0LV68GJ06dUKHDh0QExODpk2boqioCPv378eqVaugo6OD2NhYbo3ezJkzYWBggC1btuDAgQNITEyEnp6ewrCfPHkCX19fhIaGwtHRETo6Ojh16hQyMjK4r2+Ojo5o0qQJYmJiQEQwMDBAWloasrKy6pw/qnL//n0EBQVh2LBhePLkCWJjYyGRSDB16lSlfmxtbREXF4fp06fj+vXr6N69O/T19VFUVISff/4ZUqkUs2fP/tv0GDt2LD777DMIBAKMHDmyzmmWMX78eGzcuBE9e/ZEXFwcbGxscODAAaxcuRLR0dFo3rw5AGDw4MFYsmQJBg8ejLlz56JZs2Y4ePAgMjMz5cJctWoV/P394efnh/DwcFhaWuLRo0e4ePEizpw5g507dwJgbY9RTzTsXi7G/zoVFRW0ZMkSatmyJYlEItLT0yN3d3dKS0vjySxYsICaN29OQqGQjIyMaODAgXTnzh1eWNV3/aenp5O/vz9ZWlqSSCQiExMT6tGjBx07doznb/78+WRra0tisZicnJxozZo1Co+qgYJjpGS7WhcuXMhzl+3y3blzJ+cm26mam5tL7dq1I7FYTObm5jRt2jS53bNQcMTSgwcPaMyYMWRnZ0dCoZAMDAyobdu2NH36dN5JBLVRFz1kzJo1iwDQiRMn5J4p2vktc4+MjCRLS0sSCoVkbGxMHh4eFB8fLxfGkydPSFNTkwDQmjVrFOqgavoV5d27UHXncXVCQ0MJAG/nMdHb3cNTpkwhGxsbEgqFZG5uTtHR0fT48WOenI2NDfXs2VMuXG9vb/L29ua5qZruvn37kqamplxcirhw4QL169ePDA0NSSQSUePGjSk8PJx3jM/vv/9OvXr1Ij09PRKJRNSqVSuFZVy17EtLS2nEiBHk6upKurq6pKmpSQ4ODhQbG0svXrzgxd+1a1fS0dEhfX196tevH92+fVuu7GTtsOoxdERv27pUKlWYf1XLRNYON23aRGPGjCFjY2MSi8Xk5eVFp0+f5vlV1OaJ3p7s4evrS7q6uiQWi8nGxoaCg4PpyJEjtebzu+gh4/Xr1yQWi6l79+4Kn1dPq4zq/SAR0a1btyg0NJQMDQ1JKBSSg4MDLVy4UO5YuLt371Lfvn1JW1ubdHR0qG/fvnT8+HGF7fvcuXMUEhJCJiYmJBQKyczMjDp37kxJSUkq54sy/sttj1F3BERE/6xpzGD8b+Lj44OHDx/ijz/+aGhV6ky7du0gEAhUnsZj/POYmZlh0KBBWLhwYUOr8sGQm5sLX19f7Ny5E8HBwQ2tTp1IS0vDp59+igMHDqBHjx4NrQ6jBljb+3thU/8MBkMhT58+xR9//IH09HT88ssv2Lt3b0OrxFDC+fPn8fLlS5Vu8GF82Fy4cAG3bt3ibsyregQX48ODtb2/H2aoMhj/ESoqKlDTBIlAIKhxt351zpw5A19fXxgaGiI2Nha9e/euBy0ZfwctWrRQeCwT4++FiGq9/lhdXZ23WbM2Ro4ciZ9++glt2rTBhg0b6uSX8c/D2t7fD5v6ZzD+I/j4+NR4CLWNjQ1u3rz5zynEYPzHkS0tqIn169fLHUTPYDBUhxmqDMZ/hMuXL+PZs2dKn4vFYri4uPyDGjEY/22ePXvG3cKkDDs7uxrPa2UwGDXDDFUGg8FgMBgMxgdJ3e+AY/yjhIeH/2fOZRMIBJg1a9bfEraPjw9atmxZb+EVFBRg1qxZ+PXXX+stzH+S8PBwCAQCtGjRQuEaOoFAgFGjRjWAZn8PPj4+Sm+1qS/+zvr7PggEAggEAsyfP1/uWXJyMgQCAU6fPt0Amv17aOh+dt68eUhNTW2w+JVha2vLli3UkdzcXAgEAuTm5v4j8f0vtH9mqDIYCigoKMDs2bP/tYaqjAsXLiA5Obmh1fhPkJ+fj6FDhza0GkqZP38+Hj161NBqMN6BD9VQ3bt3L2bMmNHQajBU4L/c/pmhymDUAy9fvmxoFeSQSqXw8vJCbGwsXr161dDq/Ovp2LFjnW7/+if55JNP8OLFC6X3kjMU8yG22w+J1q1bo0mTJg2thkJYn/YX//X2zwzVv4HKykosX74cbm5u0NTURKNGjdCxY0fs37+fJ5OYmAhHR0eIxWKYmJhg8ODBuHv3bq3h79y5Ex06dICenh60tLRgb2+PyMhI7nlpaSl3Bp+enh4MDAzg7u6u8P562RTw+vXr4eDgAE1NTbRr1w4nTpwAEWHhwoWws7ODtrY2OnfujKtXr/L8y6bcjx07ho4dO0JTUxOWlpaYMWNGrce2AEBhYSGGDx8OKysriEQi2NnZYfbs2SgvL6/VryJq0oOI0KxZM/j5+cn5e/78OfT09PDFF18gNzcXH330EQAgIiKCm1qRTfuGh4dDW1sbv//+O7p16wYdHR3uLuk3b94gPj6eK1djY2NERETgwYMHcnGmpKTA3d0dUqkU2tra8PPzw9mzZ98p3cpYsGAB/vzzTyxbtqxW2du3b3NXpIrFYjg5OeHrr79GZWUlJ3Pz5k0IBAIsWrQIixcv5uqGu7s7Tpw4IRfm6dOn8emnn8LAwAASiQStW7fGjh073jk9RITExETY2NhAIpGgTZs2OHTokELZp0+fYtKkSbCzs4NIJIKlpSXGjRuHFy9ecDKtW7eGl5eXnN+KigpYWlpy134Ciqf+//zzT0RFRcHa2hoikQgWFhYIDg5GUVFRnfR4XxwcHDBkyBCsWLECt27dqlV+//79cHd3h5aWFnR0dNC1a1fk5+fzZGbNmgWBQIDz589jwIAB0NPTg6mpKSIjI/HkyROeLBFh5cqVXJ+nr6+P4OBgXL9+/Z3TpGpbSklJQbdu3WBubg5NTU04OTkhJiZGLn9rarfV6dKlCxwdHeWOeyMiNG3aFD179lQ5HWfPnkVAQADXriwsLNCzZ0+urxcIBHjx4gV3FJVAIOAtY/njjz8QGBgIfX19SCQSuLm5YcOGDbw4ZNPNmzdvxoQJE2BmZgZNTU14e3vL9SmyfDh//jy6dOkCqVQKY2NjjBo1Ss5wrz71L4tn27ZtmD59OiwsLKCrq4tPPvlEblMZEWHevHlcW23Xrh2ysrLeaZmOra0td91169atIZFIuOtrVckf2RR49VNPFE3Ty8a0U6dOwcvLixtj58+fz+sLAeDSpUvo3r07tLS0YGRkhBEjRijc0FpbHXhf/ovtv3oEjHpm0KBBJBAIaOjQobRv3z46dOgQzZ07l5YtW8bJREVFEQAaNWoUZWRkUFJSEhkbG5O1tTXvusDq1+EdP36cBAIB9e/fnw4ePEjZ2dm0fv16GjRoECdTUlJC4eHhtGnTJsrOzqaMjAyaNGkSqamp0YYNG3i6AiAbGxvy8PCgPXv20N69e6l58+ZkYGBA48ePp8DAQEpPT6ctW7aQqakpubq6UmVlJeff29ubDA0NycLCgr755hvKzMykMWPGKLxuFNWuR7x37x5ZW1uTjY0NrVq1io4cOUJz5swhsVhM4eHhdcpzVfVYtmwZCQQC+r//+z+e/xUrVhAAOn/+PD158oS7wu+rr76i/Px8ys/P565sDQsLI6FQSLa2tpSQkEBHjx6lzMxMqqiooO7du5NUKqXZs2dTVlYWff/992RpaUnOzs708uVLLr65c+eSQCCgyMhISk9Ppz179pC7uztJpVI6f/48J1dZWUllZWUq/VWl6hWTQUFB1KhRIyouLuaVRdV8uX//PllaWpKxsTElJSVRRkYGjRo1igBQdHQ0Jye7MtPW1pa6d+9OqamplJqaSi4uLqSvr08lJSWcbHZ2NolEIvLy8qKUlBTKyMig8PBwhdcxqorsmsshQ4bQoUOHaPXq1WRpaUlmZma86w9fvHhBbm5uZGRkRIsXL6YjR47QsmXLSE9Pjzp37szV4WXLlhEAufpw8OBBAkD79+/n5VnV+nv37l0yNzfnxZGSkkKRkZF08eLFOulBRFReXq5SOVe/9lJWlvfu3SMtLS1eX6DoKsotW7YQAOrWrRulpqZSSkoKtW3blkQiEe96YVleOzg40MyZMykrK4sWL15MYrGYIiIieDoMGzaMhEIhTZw4kTIyMmjr1q3k6OhIpqamVFhYqGrxctSlLc2ZM4eWLFlCBw4coNzcXEpKSiI7Ozvy9fXlhams3cqeVe1n9+3bRwAoKyuLF8aBAwcIAB04cECldDx//pwMDQ2pXbt2tGPHDsrLy6OUlBQaMWIEXbhwgYiI8vPzSVNTk3r06MH1NbI+4NKlS6Sjo0NNmjShjRs30oEDB2jAgAEEgBYsWMDFI7ui1dramgIDAyktLY02b95MTZs2JV1dXbp27RovH2TX5s6dO5cOHz5Ms2bNIg0NDQoICODpb2NjQ2FhYXLx2Nra0ueff04HDhygbdu2UePGjalZs2ZUXl7OyU6dOpUAUFRUFGVkZNCaNWuocePGZG5uLndVaW3Y2NiQubk52dvb07p16ygnJ4d+/vlnlfNH1g5u3LjBC1eWnpycHM5NNpY0a9aMkpKSKCsri0aOHEkAeONnYWEhmZiYkKWlJa1fv54OHjxIn3/+OTVu3JgXpip1gIi1/5pghmo988MPPxAAmj59ulKZixcvEgAaOXIkz/3kyZMEgKZNm8a5Ve9AFy1aRAB4BkFtyBrAkCFDqHXr1rxnAMjMzIx3b3FqaioBIDc3N95AunTpUgJAv/32G+fm7e1NAGjfvn28cIcNG0Zqamp069YtXlxVB/rhw4eTtrY2T6ZqGqsabLWhqh5Pnz4lHR0dGjt2LE/O2dmZN7CdOnVKqUEVFhZGAGjdunU8923bthEA2r17N89dFtbKlSuJiOj27dukoaFBo0eP5sk9e/aMzMzMKCQkhHOTdTSq/FXXUWaoXrp0idTV1WnixInc8+qGakxMDAGgkydP8sKJjo4mgUBAly9fJqK/DFUXFxfeoPTzzz8TANq2bRvn5ujoSK1bt5YzogMCAsjc3Fyuw62Nx48fk0QioaCgIJ77Tz/9RAB4g19CQgKpqanJ3RW+a9cuAkAHDx4kIqKHDx+SSCTitTkiopCQEDI1NeXpXr3+RkZGklAo5A021VFVD6K/6nBtf1UNB5lesrKcPn06qamp0blz54hIfqCqqKggCwsLcnFx4eX/s2fPyMTEhDw8PDg32UCVmJjIi2/kyJEkkUi4viE/P58A0Ndff82Tu3PnDmlqatLkyZOV5o8yVG1L1ZG92OXl5REALh+IlLdb2bOq/WxFRQXZ29tTYGAgT87f35+aNGnC6xdr4vTp0wSAUlNTa5STSqVy5UpE1L9/fxKLxXT79m05PbS0tLhxQGZwtWnThqfbzZs3SSgU0tChQ3lpBcD7cEL09uUZAP3444+cmzJDtUePHjy/O3bsIACUn59PRESPHj0isVhMn332GU9OVlfexVBVV1fn+iEZquZPXQ1VRX2hs7Mz+fn5cb+nTJlCAoGAfv31V55c165deWGqWgdY+1cOm/qvZ2TTkF988YVSmZycHACQ203Zvn17ODk54ejRo0r9yqakQ0JCsGPHDvz5558K5Xbu3AlPT09oa2tDQ0MDQqEQa9euxcWLF+VkfX19IZVKud9OTk4AAH9/f96tKDL36lMLOjo6+PTTT3luoaGhqKysxA8//KA0Lenp6fD19YWFhQXKy8u5P9mVgTUdXq8IVfTQ0dFBREQEkpOTuanB7OxsXLhwoc674Pv27SuXnkaNGqFXr1689Li5ucHMzIybXsrMzER5eTkGDx7Mk5NIJPD29uZNQ/Xq1QunTp1S6U8Zsmmhb7/9Frdv31Yok52dDWdnZ7Rv357nHh4eDiJCdnY2z71nz568W65cXV0B/FU3rl69ikuXLuHzzz8HAF46e/TogXv37tV6/mR18vPzUVpayoUpw8PDAzY2Njy39PR0tGzZEm5ubry4/fz8eFN9hoaG6NWrFzZs2MBN6z1+/Bj79u3D4MGDoaGh/PK+Q4cOwdfXl2sXilBVDwBYtWqVSuVc08kDkydPhoGBgdLrHC9fvoyCggIMGjQIamp/df/a2tro27cvTpw4ITf9W71Nubq6orS0FPfv3+fSKBAIMHDgQF4azczM0KpVq3fa/axqWwKA69evIzQ0FGZmZlBXV4dQKIS3tzcAKOzvqrdbRaipqWHUqFFIT0/n2sy1a9eQkZGBkSNHqnxbVNOmTaGvr48pU6YgKSkJFy5cUMmfjOzsbHTp0gXW1tY89/DwcLx8+VJuujY0NJSnm42NDTw8PLgxpyrV21FoaCgAKJStjqI6AfzV/k+cOIHXr18jJCSEJ9exY8d3Pl3B1dUVzZs357nVNX9UxczMTK4vdHV15Y19OTk5aNGiBVq1asWTk+WjDFXrAGv/ymFXqNYzDx48gLq6OszMzJTKFBcXAwDMzc3lnllYWNS4xuTjjz9GamoqvvnmGwwePBivX79GixYtMH36dAwYMAAAsGfPHoSEhKBfv3748ssvYWZmBg0NDXz33XdYt26dXJgGBga83yKRqEb30tJSnrupqalcmLL0y9KqiKKiIqSlpUEoFCp8/vDhQ6V+FaGqHqNHj8a3336LLVu2ICoqCt9++y2srKwQGBioclxaWlrQ1dXluRUVFaGkpITLp+rI0iNbvyh76ahO1Q7EwMAAenp6KuuljFmzZmHz5s2YMWOG3Pot4G3+KBpALCwsuOdVqX6AuVgsBvDXBgdZGidNmoRJkyYp1Kmu5SvTQVHbqu5WVFSEq1evqlS3IiMjsXv3bmRlZcHPzw/btm3D69evaz2W58GDB7VurqqLHk2bNq3xClwZVetHdXR1dfHVV19h3LhxCg2O2vqeyspKPH78GFpaWpy7KmVNRArbHwDY29vXkiJ5VG1Lz58/h5eXFyQSCeLj49G8eXNoaWnhzp076NOnj9yGG0XtVhmRkZGYOXMmkpKSMG/ePKxYsQKampq8/QC1oaenh7y8PMydOxfTpk3D48ePYW5ujmHDhuGrr75SWi9kFBcXKy0r2fOqKGsb586d47lpaGjIlasqfbaM2uqELAxFdUJZPakNRflQ1/xRFUUXNIjFYl59Ki4uhp2dnZxc9TJQtQ6w9q8cZqjWM8bGxqioqEBhYaHCygD8VfD37t2TG+gKCgpgZGRUYxyBgYEIDAzE69evceLECSQkJCA0NBS2trZwd3fH5s2bYWdnh5SUFN7b9evXr98zdYqpunFERmFhIQDFDV6GkZERXF1dle5UlHU29a1H06ZN4e/vjxUrVsDf3x/79+/H7NmzeV8Ia0PRFxUjIyMYGhoiIyNDoR8dHR1ODgB27dol9yWwOhs2bEBERIRKOtXUyZmbm2PcuHGYP38+Jk6cKPfc0NAQ9+7dk3MvKCjg6awqMvmpU6fyNiRVxcHBoU5hyspQVqZVKSws5BnaRkZG0NTUVPhiVlU/APDz84OFhQXWr18PPz8/rF+/Hh06dICzs3ON+hgbG9e6GaIuenTp0kWlWYSwsLAajxyLjo7GsmXLMGXKFERHR/OeVe17qlNQUAA1NTXo6+vXqkNVjIyMIBAIcOzYMW4Qq4oiN1XCVKUtZWdno6CgALm5udxXVAAoKSlR6E/VL6HAWwMjLCwM33//PSZNmoT169cjNDQUjRo1UjkMAHBxccH27dtBRPjtt9+QnJyMuLg4aGpqIiYmpka/dW2XytpG9X64vLwcxcXFPHdV+mxVkYWhrE9+l6+qispO1fyRSCQA5MfAur4sV49bWX5XR5U6wNq/cpihWs/4+/sjISEB3333HeLi4hTKdO7cGQCwefNm3le1U6dO4eLFi5g+fbpKcYnFYnh7e6NRo0bIzMzE2bNn4e7uDoFAAJFIxGvYhYWFCnf91wfPnj3D/v37eVMEW7duhZqaGj7++GOl/gICAnDw4EE0adKkzo3jffUYO3YsunXrhrCwMKirq2PYsGG859XfGlUhICAA27dvR0VFBTp06KBUzs/PDxoaGrh27Vqt05Cyqf/6YMqUKVi9erXCwbFLly5ISEjAmTNn0KZNG85948aNEAgEtd5nXh0HBwc0a9YM586dw7x5895bd+DttKFEIsGWLVt4+Xb8+HHcunWLN/gFBARg3rx5MDQ0VPjVoyrq6uoYNGgQli5dimPHjuH06dNYtWpVrfr4+/tj06ZNuHz5slKjuy56rFq1qsYrcGXU9tIgEokQHx+Pzz//XE7WwcEBlpaW2Lp1KyZNmsT1ES9evMDu3bu5ncB1ISAgAPPnz8eff/4pN9X7rqjalmT6Vx8MVSk/VRgzZgxWrlyJ4OBglJSUvNclGQKBAK1atcKSJUuQnJyMM2fOcM+qf62T0aVLF+zduxcFBQW8F/eNGzdCS0sLHTt25Mlv27YNEyZM4PLl1q1bOH78OAYPHiwX9pYtWzBmzBju99atWwGgXi7O6NChA8RiMVJSUngvqidOnJBrq++Dqvkji++3337jtdWqJ/HUFV9fXyQmJuLcuXO86X9ZPiqipjrA2r9ymKFaz3h5eWHQoEGIj49HUVERAgICIBaLcfbsWWhpaWH06NFwcHBAVFQUli9fDjU1Nfj7++PmzZuYMWMGrK2tMX78eKXhz5w5E3fv3kWXLl1gZWWFkpISLFu2jLcuS3aMx8iRIxEcHIw7d+5gzpw5MDc3x5UrV+o9zYaGhoiOjsbt27fRvHlzHDx4EGvWrEF0dDQaN26s1F9cXByysrLg4eGBMWPGwMHBAaWlpbh58yYOHjyIpKSkOp1bWRc9unbtCmdnZ+Tk5HBHMlWlSZMm0NTUxJYtW+Dk5ARtbW1YWFjU+JW3f//+2LJlC3r06IGxY8eiffv2EAqFuHv3LnJychAYGIigoCDY2toiLi4O06dPx/Xr19G9e3fo6+ujqKgIP//8M6RSKXf0iqGhYb3dE66rq4vp06crrF/jx4/Hxo0b0bNnT8TFxcHGxgYHDhzAypUrER0dLbc2TBVWrVoFf39/+Pn5ITw8HJaWlnj06BEuXryIM2fOYOfOnZysbCCpfnxMVfT19TFp0iTEx8dj6NCh6NevH+7cuYNZs2bJTbeNGzcOu3fvxscff4zx48fD1dUVlZWVuH37Ng4fPoyJEyfyDKDIyEgsWLAAoaGh0NTUxGeffVZr+uLi4nDo0CF8/PHHmDZtGlxcXFBSUoKMjAxMmDABjo6OddKjrl+Ya2LAgAFYtGiR3NFdampqSExMxOeff46AgAAMHz4cr1+/xsKFC1FSUqLwdpva8PT0RFRUFCIiInD69Gl8/PHHkEqluHfvHn788Ue4uLhwX3Zyc3Ph6+uL2NjYGtfaqdqWPDw8oK+vjxEjRiA2NhZCoRBbtmyRm+p+V5o3b47u3bvj0KFD6NSpk9x6xNpIT0/HypUr0bt3b9jb24OIsGfPHpSUlKBr166cnIuLC3Jzc5GWlgZzc3Po6OjAwcEBsbGx3Fr+mTNnwsDAAFu2bMGBAweQmJgotyzo/v37CAoKwrBhw/DkyRPExsZCIpFg6tSpPDmRSISvv/4az58/x0cffYTjx48jPj4e/v7+6NSp07tn2P/HwMAAEyZMQEJCAvT19REUFIS7d+9i9uzZMDc3r3H6ui6omj8fffQRHBwcMGnSJJSXl0NfXx979+7Fjz/++M5xjxs3DuvWrUPPnj0RHx8PU1NTbNmyBZcuXeLJqVoHWPuvgffejsWQo6KigpYsWUItW7YkkUhEenp65O7uTmlpaTyZBQsWUPPmzUkoFJKRkRENHDiQOwJJRvXdqOnp6eTv70+WlpYkEonIxMSEevTowTtWgoho/vz5ZGtrS2KxmJycnGjNmjXcLr6qQMExUrKd3QsXLuS5y3ZI7ty5k3Pz9vamFi1aUG5uLrVr147EYjGZm5vTtGnT5HZ7o9quaSKiBw8e0JgxY8jOzo6EQiEZGBhQ27Ztafr06byTCGqjLnrImDVrFgGgEydOKHy+bds2cnR0JKFQyNO96o766pSVldGiRYuoVatWJJFISFtbmxwdHWn48OF05coVnmxqair5+vqSrq4uicVisrGxoeDgYDpy5IjK6VaGMh1fv35NdnZ2Csv91q1bFBoaSoaGhiQUCsnBwYEWLlzI2x2qrG4QKS7fc+fOUUhICJmYmJBQKCQzMzPq3LkzJSUl8eSMjIyoY8eOtaarsrKSEhISyNramkQiEbm6ulJaWhp5e3vL7SR+/vw5ffXVV+Tg4MC1QxcXFxo/frzCI1M8PDwIAH3++ecK41aUvjt37lBkZCSZmZmRUCgkCwsLCgkJoaKionfWo64oKksiosOHD3M7haufOpCamkodOnQgiURCUqmUunTpQj/99BNPRtZfVD0uj0j5Dup169ZRhw4dSCqVkqamJjVp0oQGDx5Mp0+f5mTS0tIIgFz5K0LVtnT8+HFyd3cnLS0tMjY2pqFDh9KZM2fkTu2oqd1W72erkpycTABo+/bttepcnUuXLtGAAQOoSZMmpKmpSXp6etS+fXtKTk7myf3666/k6elJWlpacrvif//9d+rVqxfp6emRSCSiVq1ayZ1GIuubN23aRGPGjCFjY2MSi8Xk5eXFy/+q+fDbb7+Rj48PaWpqkoGBAUVHR8v1ucp2/VcdA4j+6heq6lVZWUnx8fFkZWXFtdX09HRq1aqV3MkdtWFjY0M9e/ZU+EyV/CEi+r//+z/q1q0b6erqkrGxMY0ePZo7bqz6rv8WLVrI+VdURy5cuEBdu3YliURCBgYGNGTIEO5oM1mYqtaBd+W/2v6rIvj/CWUw3gkfHx88fPgQf/zxR0OrUmfatWsHgUBQb1PrjHfjwoULaNGiBdLT0+t0kDrj38fkyZOxbds2XLlyhVs3+KEj2w198+bNWjc/NRSyL1U7d+5EcHBwjbLh4eHYtWsXnj9//g9p9xc3btyAo6MjYmNjMW3atH88fkbD8q7tn039M/6nePr0Kf744w+kp6fjl19+wd69extapf95cnJy4O7uzozU/wFycnIwY8aMD95Iff36Nc6cOYOff/4Ze/fuxeLFiz9YI/VD5dy5c9i2bRs8PDygq6uLy5cvIzExEbq6uhgyZEhDq8doAN61/TNDlfFBU1FRUeNudoFAUKfd+mfOnIGvry8MDQ0RGxuL3r1714OWjPfhiy++qPHcYcZ/h3/L7MW9e/c4A2v48OEYPXq0nEx9903/NaRSKU6fPo21a9eipKQEenp68PHxwdy5c7mjjFge/m/xru2fTf0zPmh8fHxqPLLDxsamxg04DAaD8XfA+qb3x9bWtsZzw6tfgML434QZqowPmsuXL9d4ZIdYLIaLi8s/qBGDwWCwvqk++P3332s831t2+gHjfxtmqDIYDAaDwWAwPkjq5zAzBoPBYDAYDAajnmGG6v8wAoFApZtWcnNzIRAI/hVrhQ4ePFi3g4QbmJs3b0IgENR4Jd77IhAI6iVPkpOTIRAIFP5NmjRJ5XD+iTR/6Mjy8kNdw7hy5co6l88/3U/MmjULAoEAJiYmCqfgbW1tERAQ8I/oUt8sX74cTZs25W4YVHYl7PtQUFCAWbNm4ddff633sOubefPmITU1taHV+MewtbWFQCDAiBEj5J7J2tmuXbsaQLOGgRmqjP8UBw8e5G51+jdgbm6O/Pz8f9XRTOvXr0d+fj7vr+pVjIx/P+9iqLZp0wb5+fm8K3j/CR48eIDExMR/NM6/k19//RVjxoyBr68vsrOzkZ+fDx0dnXqPp6CgALNnz2aG6gfM2rVrcfny5YZWo8Fhx1MxGA1ARUUFysvLIRaL5e7r/tBp2bIl2rVr19BqMD4QysrKIBAIoKur2yB1uXv37liyZAm++OILuat0/42cP38eADBs2DC0b9++gbWpO1X7Nsa74+7ujgsXLmDatGnYvXt3Q6vToLAvqg0MEWHlypVwc3ODpqYm9PX1ERwcjOvXr/PkfHx80LJlS5w6dQpeXl7Q0tKCvb095s+fj8rKSk6utLQUEydOhJubG/T09GBgYAB3d3fs27dPqQ6rVq1C8+bNIRaL4ezsjO3bt6uk++nTp/Hpp5/CwMAAEokErVu3xo4dO+qcB5WVlVi+fDmXB40aNULHjh2xf/9+TiYlJQXdunWDubk5NDU14eTkhJiYGLx48YKTCQ8Px4oVKwCANy0tm15VNa+JCPPmzYONjQ0kEgnatWuHrKws+Pj4wMfHhyd7+/ZtDBw4ECYmJhCLxXBycsLXX3/NKxPZVHdiYiLi4+NhZ2cHsViMnJwcpdPgly5dwoABA2BqagqxWIzGjRtj8ODB3A7ZBw8eYOTIkXB2doa2tjZMTEzQuXNnHDt2rM75X19cvXoVERERaNasGbS0tGBpaYlevXrh999/r9XvgwcPEBUVBWtra4jFYhgbG8PT0xNHjhzhyR05cgRdunSBrq4utLS04OnpiaNHj76X3ikpKXB3d4dUKoW2tjb8/Pxw9uxZ7vnSpUshEAhw9epVOb9TpkyBSCTCw4cPAQBZWVkIDAyElZUVJBIJmjZtiuHDh3PP3wfZcoHs7GwMGzYMhoaG0NXVxeDBg/HixQsUFhYiJCQEjRo1grm5OSZNmoSysjJeGG/evEF8fDwcHR25fI6IiMCDBw84GVtbW5w/fx55eXlcG7K1tQXw17Tjpk2bMHHiRFhaWkIsFuPq1atKp/5PnjyJXr16wdDQEBKJBE2aNMG4cePeOz9kxMfHo7y8XKXlLY8ePcLIkSNhaWkJkUgEe3t7TJ8+XW7nuWxZ1KZNm+Dk5AQtLS20atUK6enpcmFeuXIFoaGhvD5A1g/VFR8fHwwcOBAA0KFDBwgEAoSHh3PPVan/qrTD3NxcfPTRRwCAiIgIrpxleaiorwPe9rGyugDU3LcB9TNGCAQCvHjxAhs2bOD09PHxwc2bN6GhoYGEhAQ5Pz/88AMEAgF27twJ4K9lImfPnkWfPn2gq6sLPT09DBw4kFf3ZdTWJwDA9evX0b9/f1hYWEAsFsPU1BRdunSpty/UBgYGiImJwZ49e3DixIla5X/88Ud06dIFOjo60NLSgoeHBw4cOMCTkfUhOTk5iI6OhpGREQwNDdGnTx8UFBTIhalKPvwj1OnCVUa9M2zYMBIKhTRx4kTKyMigrVu3kqOjI5mamvLuAff29iZDQ0Nq1qwZJSUlUVZWFo0cOZIA0IYNGzi5kpISCg8Pp02bNlF2djZlZGTQpEmTSE1NjSdH9PaOYGtra3J2dqZt27bR/v37qXv37nJ3Ocvud656H3J2djaJRCLy8vKilJQUysjIoPDwcLn7nlVh0KBBJBAIaOjQobRv3z46dOgQzZ07l5YtW8bJzJkzh5YsWUIHDhyg3NxcSkpKIjs7O/L19eVkrl69SsHBwQSA8vPzub/S0tI65fXUqVMJAEVFRVFGRgatWbOGGjduTObm5rw7uO/fv0+WlpZkbGxMSUlJlJGRQaNGjSIAFB0dzcnJ7sG2tLQkX19f2rVrFx0+fJhu3Lih8I7sX3/9lbS1tcnW1paSkpLo6NGjtHnzZgoJCaGnT58S0dv7o6Ojo2n79u2Um5tL6enpNGTIEFJTU+OVk6ycq99RX1ZWptJfZWUl50d2x/OJEyfk5IiI8vLyaOLEibRr1y7Ky8ujvXv3Uu/evUlTU5MuXboklx9V0+zn50fGxsa0evVqys3NpdTUVJo5cybvfvVNmzaRQCCg3r170549eygtLY0CAgJIXV2djhw5oqx61cjcuXNJIBBQZGQkpaen0549e8jd3Z2kUimdP3+eiIgePHhAIpGIpk+fzvNbXl5OFhYW1KdPH87tu+++o4SEBNq/fz/l5eXRhg0bqFWrVuTg4EBv3ryRy8vq92XXhMyPnZ0dTZw4kQ4fPkwLFiwgdXV1GjBgALVp04bi4+MpKyuLpkyZQgDo66+/5vxXVFRQ9+7dSSqV0uzZsykrK4u+//57srS0JGdnZ3r58iUREZ05c4bs7e2pdevWXBs6c+YMEf3VF1haWlJwcDDt37+f0tPTqbi4WGE/kZGRQUKhkFxdXSk5OZmys7Np3bp11L9/f06msrJS5fpYlap3kY8fP540NDTo8uXL3PPq98O/evWKXF1dSSqV0qJFi+jw4cM0Y8YM0tDQoB49evDCBkC2trbUvn172rFjBx08eJB8fHxIQ0ODrl27xsmdP3+e9PT0yMXFhTZu3EiHDx+miRMnkpqaGs2aNUvlsq0a3ldffcW1j/z8fLp69SoRqV7/VWmHT5484erTV199xZXznTt3iOjteFO1r5NR/b77mvq2+hoj8vPzSVNTk3r06MHpKWubQUFB1LhxYyovL+f56devH1lYWHB1RlZXbGxs6Msvv6TMzExavHgxSaVSat26Na9tqtInEBE5ODhQ06ZNadOmTZSXl0e7d++miRMn8up/RUWFSvW6uv6yuvvy5UuytLQkLy8v7pmsnVUdo3Nzc0koFFLbtm0pJSWFUlNTqVu3biQQCHh9qKzM7e3tafTo0ZSZmUnff/896evr88bSuuTDPwEzVBuQ/Px8ucGEiOjOnTukqalJkydP5ty8vb0JAJ08eZIn6+zsTH5+fkrjKC8vp7KyMhoyZAi1bt2a9wwAaWpq8oy08vJycnR0pKZNm3JuigYgR0dHat26tdzgERAQQObm5lRRUVF7BhDRDz/8QADkjICakA1seXl5BIDOnTvHPfviiy9I0fuXqnn96NEjEovF9Nlnnyn0X7XzjomJUVgm0dHRJBAIuEFT1pk3adKE1yFWfVa14+7cuTM1atSI7t+/r3KeyMq5S5cuFBQUxHtW3VCVxanKX9Uyl3Vyiv6q1wOZTm/evKFmzZrR+PHja0yztrY2jRs3Tmn6Xrx4QQYGBtSrVy+ee0VFBbVq1Yrat2+vYk79xe3bt0lDQ4NGjx7Nc3/27BmZmZlRSEgI59anTx+ysrLi1euDBw8SAEpLS1MYvqye3rp1iwDQvn37uGfvY6hW17d3794EgBYvXsxzd3NzozZt2nC/t23bRgBo9+7dPLlTp04RAFq5ciXn1qJFC4WGiqwv+Pjjj5U+q1pnmjRpQk2aNKFXr14pTZfMnyp/VfOrqqH68OFD0tPTo759+3LPqxuqSUlJBIB27NjBi3/BggUEgA4fPsy5ASBTU1PuxZCIqLCwkNTU1CghIYFz8/PzIysrK3ry5AkvzFGjRpFEIqFHjx4pTbcyZOV86tQpzu196r+ydigrd0VGY10NVUV9W32NEUREUqmUwsLC5NxldWfv3r2c259//kkaGho0e/Zszk1WV6qmn4hoy5YtBIA2b95MRKr3CQ8fPiQAtHTp0hr1DgsLU6leV8/rqnV3zZo1vH5GkaHasWNHMjExoWfPnnFu5eXl1LJlS7KysuI+OMjq1siRI3nxJSYmEgC6d+9enfLhn4JN/Tcg6enpEAgEGDhwIMrLy7k/MzMztGrVSm4KzczMTG7Nkqurq9zNHjt37oSnpye0tbWhoaEBoVCItWvX4uLFi3I6dOnShbvODgDU1dXx2Wef4erVq7h7965Cva9evYpLly7h888/BwCe7j169MC9e/dUXgB+6NAhAKj1Cs3r168jNDQUZmZmUFdXh1AohLe3NwAoTFd1VM3rEydO4PXr1wgJCeH579ixI2/KCwCys7Ph7OwsVybh4eEgImRnZ/PcP/3001rvC3/58iXy8vIQEhICY2PjGmWTkpLQpk0bSCQSrpyPHj1aa35YWFjg1KlTKv21bdtWzv/GjRvl5DQ0NFBeXo558+bB2dkZIpEIGhoaEIlEuHLlSq06tW/fHsnJyYiPj8eJEyfkpqyPHz+OR48eISwsjFd+lZWV6N69O06dOsVbBqIKmZmZKC8vx+DBg3lhSiQSuRtxIiIicPfuXd5ShPXr18PMzAz+/v6c2/379zFixAhYW1tzZWJjYwNAtXqqCtV3sjs5OQGA3IY8JycnXt+Qnp6ORo0aoVevXrz0urm5wczMrE679fv27VurzP/93//h2rVrGDJkSI13e7dt21bl+mhhYaEwDENDQ0yZMgW7d+/GyZMnFcpkZ2dDKpUiODiY5y6bWq8+he7r68vbxGRqagoTExMuT0tLS3H06FEEBQVBS0tLrh8sLS1VacpWFepS/9+nHb4r1fu2+hwjasLHxwetWrXiLbVISkqCQCBAVFSUnLxMHxkhISHQ0NDgliqo2icYGBigSZMmWLhwIRYvXoyzZ8/ylnvJmDVrlkr1etWqVUrTGBERAWdnZ8TExCiM48WLFzh58iSCg4Ohra3Nuaurq2PQoEG4e/euXF5/+umnvN+urq4AwNXtuvSN/wRsM1UDUlRUBCLiGYpVsbe35/02NDSUkxGLxXj16hX3e8+ePQgJCUG/fv3w5ZdfwszMDBoaGvjuu++wbt06Of+KNh/I3IqLi2FlZaVQbwCYNGmS0mOJVF2T9+DBA6irq9e4CeL58+fw8vKCRCJBfHw8mjdvDi0tLdy5cwd9+vThpV8ZquZ1cXExACiUq+5WXFwsZ7wC4AZTWVgyzM3Na9Xz8ePHqKioUJjvVVm8eDEmTpyIESNGYM6cOTAyMoK6ujpmzJhR62AkEong5uZWqy4AFN6z7eTkpHAz1YQJE7BixQpMmTIF3t7e0NfXh5qaGoYOHVprGaWkpCA+Ph7ff/89ZsyYAW1tbQQFBSExMRFmZmZcnatuZFTl0aNHkEqlKqUL+Ksey9bqVUdN7a/3eH9/f5ibm2P9+vXo1q0bHj9+jP3792Ps2LFcHlVWVqJbt24oKCjAjBkz4OLiAqlUisrKSnTs2FGleqoKBgYGvN8ikUipe2lpKfe7qKgIJSUlnHx16rKOVpW6LFv7V1td1tbWVrk+amgoH7LGjRuHb7/9FpMnT1Z4tWlxcTHMzMwgEAh47iYmJtDQ0JBrr7X1t8XFxSgvL8fy5cuxfPlyhTrVx9pkAHWq/+/TDt+V6vWhPseI2hgzZgyGDh2Ky5cvw97eHmvWrEFwcHCNY5sMDQ0NGBoacmWvap8gEAhw9OhRxMXFITExERMnToSBgQE+//xzzJ07l3vBady4ca31XxaeMtTV1TFv3jz07t0bGzZsgJ2dHe/548ePQUQK26Sysah63ZZtfJPVj7r0jf8EzFBtQIyMjCAQCHDs2DGFOyTfZdfk5s2bYWdnh5SUFF7lV3ZNXWFhoVI3RR21TG8AmDp1Kvr06aNQRtVr74yNjVFRUYHCwkKlg192djYKCgqQm5vLfUUFUKezBVXNa1maZQ21KoWFhTzD1NDQEPfu3ZOTky1Kl+WTjJo6IxkGBgZQV1dX+jVbxubNm+Hj44PvvvuO517TlY4ybt68KdfZKSMnJ0fhpgplOg0ePBjz5s3juT98+BCNGjWq0a+RkRGWLl2KpUuX4vbt29i/fz9iYmJw//59ZGRkcHm5fPlypTvLlb2E1BQnAOzatYv76qkM2deJb775BiUlJdi6dStev36NiIgITuaPP/7AuXPnkJycjLCwMM5d0SashkC2cSIjI0Ph87ocgaRKXZbNCNRWl/Py8uDr66tSvDdu3FD4cggAmpqamDVrFqKiouQ2kQBv2+vJkydBRDz979+/j/Lycrn2Whv6+vpcvVA2I6RqO6uNutT/92mHMiQSCZ48eSLnrsy4rF4f6nOMqI3Q0FBMmTIFK1asQMeOHVFYWKi0PAoLC2Fpacn9Li8vR3FxMdfv16VPsLGxwdq1awG8nT3YsWMHZs2ahTdv3iApKQkAEBkZiQ0bNtSahtq+UgYGBsLT0xOxsbFYvXo175nsRaQuY1Ft1CUf/gmYodqABAQEYP78+fjzzz/lpprfFYFAwB0SLaOwsFDprv+jR4+iqKiI6+QqKiqQkpKCJk2aKH0TdHBwQLNmzXDu3Dm5zrCu+Pv7IyEhAd999x3i4uKUpgmQN9wVTZdUfTPU1NTk3FXN6w4dOkAsFiMlJYXXwZ44cQK3bt3iDZJdunRBQkICzpw5wzs7cuPGjRAIBCoPvlXR1NSEt7c3du7ciblz5yrtYAQCgVx+/Pbbb8jPz4e1tXWNccim/lWhLoOJIp0OHDiAP//8E02bNlU5nMaNG2PUqFE4evQofvrpJwCAp6cnGjVqhAsXLqh0SYUq+Pn5QUNDA9euXVNpKjsiIgKJiYnYtm0bkpOT4e7uDkdHR+55XeppQxAQEIDt27ejoqICHTp0qFG2+kzNu9C8eXM0adIE69atw4QJE5S+eMum/lVB2dS/jMjISCxZskThNGmXLl2wY8cOpKamIigoiHPfuHEj97wuaGlpwdfXF2fPnoWrq6vSL9X1QV3qv6rtsPpXtKrY2tpi586deP36NSdXXFyM48ePQ1dXt1Z963OMkOmqrD5KJBJERUXh22+/xfHjx+Hm5gZPT0+Fslu2bOEtZ9qxYwfKy8u5l/G69gkymjdvjq+++gq7d+/GmTNnOPdZs2ap1F+p8pK4YMECdOrUCd988w3PXSqVokOHDtizZw8WLVrEjXuVlZXYvHkzrKys0Lx5c5XTArx7PvxdMEO1AfH09ERUVBQiIiJw+vRpfPzxx5BKpbh37x5+/PFHuLi4IDo6uk5hBgQEYM+ePRg5ciSCg4Nx584dzJkzB+bm5rhy5YqcvJGRETp37owZM2ZAKpVi5cqVuHTpUq1HVK1atQr+/v7w8/NDeHg4LC0t8ejRI1y8eBFnzpzhjgWpDS8vLwwaNAjx8fEoKipCQEAAxGIxzp49Cy0tLYwePRoeHh7Q19fHiBEjEBsbC6FQiC1btuDcuXNy4bm4uAB426j9/f2hrq4OV1dXlfPawMAAEyZMQEJCAvT19REUFIS7d+9i9uzZMDc35015jB8/Hhs3bkTPnj0RFxcHGxsbHDhwACtXrkR0dHSdOwcZixcvRqdOndChQwfExMSgadOmKCoqwv79+7Fq1Sro6OggICAAc+bMQWxsLLy9vXH58mXExcXBzs4O5eXlNYYvEon+lnNQAwICkJycDEdHR7i6uuKXX37BwoULa536evLkCXx9fREaGgpHR0fo6Ojg1KlTyMjI4F4WtLW1sXz5coSFheHRo0cIDg6GiYkJHjx4gHPnzuHBgwe8r8sCgaDWrxS2traIi4vD9OnTcf36dXTv3h36+vooKirCzz//DKlUyrs8wtHREe7u7khISMCdO3fkvmw4OjqiSZMmiImJARHBwMAAaWlpyMrKeofcrH/69++PLVu2oEePHhg7dizat28PoVCIu3fvIicnB4GBgZwB5+Ligu3btyMlJQX29vaQSCRc26oLK1asQK9evdCxY0eMHz8ejRs3xu3bt5GZmYktW7YAeDtI11d9lE2TytIhW3sHAIMHD8aKFSsQFhaGmzdvwsXFBT/++CPmzZuHHj164JNPPqlzfMuWLUOnTp3g5eWF6Oho2Nra4tmzZ7h69SrS0tJ469R9fHyQl5cHIqpzPHWp/6q2wyZNmkBTUxNbtmyBk5MTtLW1YWFhAQsLCwwaNAirVq3CwIEDMWzYMBQXFyMxMVElI1VGfY0RwNv6mJubi7S0NJibm0NHR4f3Ej1y5EgkJibil19+wffff680nD179kBDQwNdu3bF+fPnMWPGDLRq1Yr7eKFqn/Dbb79h1KhR6NevH5o1awaRSITs7Gz89ttviImJ4eKztbVVOgNQVzw9PREYGKjwo1NCQgK6du0KX19fTJo0CSKRCCtXrsQff/yBbdu2qTQDUpW69I2yGbqwsLC/77bBf3TrFkMh69atow4dOpBUKiVNTU1q0qQJDR48mE6fPs3JeHt7U4sWLeT8Vt+FSUQ0f/58srW1JbFYTE5OTrRmzRpu12NVANAXX3xBK1eupCZNmpBQKCRHR0fasmULT07Rbl4ionPnzlFISAiZmJiQUCgkMzMz6ty5MyUlJdUp/RUVFbRkyRJq2bIliUQi0tPTI3d3d95u6uPHj5O7uztpaWmRsbExDR06lM6cOSO3a/X169c0dOhQMjY2JoFAILdTWJW8rqyspPj4eLKysiKRSESurq6Unp5OrVq1kttRf+vWLQoNDSVDQ0MSCoXk4OBACxcu5O1ole2MXbhwoVzaFe2AJyK6cOEC9evXjwwNDUkkElHjxo0pPDycO2rr9evXNGnSJLK0tCSJREJt2rSh1NRUhfUBCo6nehcU7UauyuPHj2nIkCFkYmJCWlpa1KlTJzp27JjcDuLqaS4tLaURI0aQq6sr6erqkqamJjk4OFBsbCy9ePGCF0deXh717NmTDAwMSCgUkqWlJfXs2ZO3A/bZs2cEgHcEUk2kpqaSr68v6erqklgsJhsbGwoODlZ45NXq1au50zKq7/QmeltuXbt2JR0dHdLX16d+/frR7du35crgfXb9V8//qrvfqxIWFkZSqZTnVlZWRosWLaJWrVqRRCIhbW1tcnR0pOHDh9OVK1c4uZs3b1K3bt1IR0eHO9aHSPGOYxnK+on8/Hzy9/cnPT09EovF1KRJE7nd1++CsnQTEXl4eBAA3q5/IqLi4mIaMWIEmZubk4aGBtnY2NDUqVO5diVD1jdWx8bGRm73+Y0bNygyMpIsLS1JKBSSsbExeXh4UHx8PE+ubdu2ZGZmVmu6ampnqtR/Vdsh0duTIBwdHUkoFMrV0Q0bNpCTkxNJJBJydnamlJQUpbv+FfVtRPU3Rvz666/k6elJWlpaCnfJExH5+PiQgYEBd8xaVWR15ZdffqFevXqRtrY26ejo0IABA6ioqEhOvrY+oaioiMLDw8nR0ZGkUilpa2uTq6srLVmyRO6oqXeh+okVMi5cuEDq6uoK2+CxY8eoc+fO3NjWsWNHuRNJlNUtZW1Xlb7x999/JwAUExPznqlWjoDoHV7vGIz/MW7cuAFHR0fExsZi2rRpDa0OowYOHjyIgIAAnDt37p2+AjIY9c2zZ89gYGCApUuX1nrCCaPu3L9/HzY2Nhg9erTC63RnzZqF2bNn48GDB3Ver8momZUrV2Ly5Mm4du1anfcJqAqb+mcwqnHu3Dls27YNHh4e0NXVxeXLl7lpryFDhjS0eoxayMnJQf/+/ZmRyvhg+OGHH2BpaYlhw4Y1tCr/Ke7evYvr169j4cKFUFNTw9ixYxtapf85cnJyMGbMmL/NSAWYocr4G6ltraSamto/fsyFKkilUpw+fRpr165FSUkJ9PT04OPjg7lz5/6tjZFRPyxcuLChVagTRISKiooaZdTV1eu8zozx4dCzZ0+5c24Z7z9GfP/994iLi4OtrS22bNnC29HP+Geoy1rjd4VN/TP+NmobWP/WxdcMxr+E5ORk3jFXiqjLMWEMxr8FNkYwVIEZqoy/jdOnT9f43MjIqN52RDIY/1aKi4tx48aNGmUcHBzqdM4pg/FvgI0RDFVghiqDwWAwGAwG44Pkw1sgyGD8C5g1axYEAgFMTEwU3gZla2srdyc7499LeHi43JcdW1tb7p74D4Xc3FwIBAIIBALk5+fLPQ8PD+fdB/5vQZauf/qO8fpk69atWLp0aUOr8bdw8OBBzJo1q6HVqBf+q23o3wwzVBmM9+DBgwcKj0Nh/PfZu3cvZsyY0dBqKGXy5MkNrUK90aZNG+Tn5/NugPu38V83VKtejvFf4b/Uhv7NMEOVwXgPunfvjiVLlqCwsLChVWlwKioq8Pr164ZW4x+jdevWaNKkSUOroZDu3bvjxx9/RFpaWkOrUi/o6uqiY8eOdboZ6UPh5cuXDa0C4x34r7WhfzPMUGWgpKQEQ4YMgYGBAbS1tdGzZ09cv34dAoGAN51z9epVREREoFmzZtDS0oKlpSV69eqF33//nReebOpk69atmDJlCszNzaGtrY1evXqhqKgIz549Q1RUFIyMjGBkZISIiAg8f/6cF4ZAIMCoUaOwfv16ODg4QFNTE+3atcOJEydARFi4cCHs7Oygra2Nzp074+rVqzz/WVlZCAwMhJWVFSQSCZo2bYrhw4fj4cOH9Zp38fHxKC8vV2na69GjRxg5ciQsLS0hEolgb2+P6dOnyxl3srRv2rQJTk5O0NLSQqtWrZCeni4X5pUrVxAaGgoTExOIxWI4OTlhxYoV75WmNWvWoHnz5hCLxXB2dsbWrVvlpr5v3rwJgUCAxMRExMfHw87ODmKxGDk5OQCA/fv3w93dHVpaWtDR0UHXrl1502jnz5+HQCDgHW3yyy+/QCAQoEWLFjx9Pv30U9793LUhW5Zx9uxZ9OnTB7q6utDT08PAgQPx4MEDnmxlZSUSExPh6OgIsVgMExMTDB48GHfv3q01HkVT/yUlJZg4cSLs7e258Hr06IFLly6BiNCsWTP4+fnJhfX8+XPo6enV22Hw4eHhcHZ2xtSpU2s9+krVPPDx8UHLli1x6tQpeHl5QUtLC/b29pg/fz4qKyt5sk+fPsWkSZNgZ2cHkUgES0tLjBs3Di9evHin9Cia+pdNwV66dAl+fn6QSqUwNzfH/PnzAQAnTpxAp06dIJVK0bx5c2zYsIEXZnJyMgQCAbKyshAREQEDAwNIpVL06tUL169fl9Nh3bp1aNWqFSQSCQwMDBAUFISLFy/yZGQ6/f777+jWrRt0dHTQpUsX+Pj44MCBA7h16xY3rVx1x/vs2bPRoUMHGBgYQFdXF23atMHatWvlrluVLSnKyMhAmzZtoKmpCUdHR6xbt05O3z///BNRUVGwtraGSCSChYUFgoODUVRUxMnURzmFh4dzfU7VtN28eRNdunSBo6OjXDqICE2bNuWO7Kran8ydOxeNGzeGRCJBu3btcPToUbk4/45+T1G6/ktt6F/N33bnFeNfQUVFBXXq1IkkEgnNnz+fDh8+TLNnz6ZmzZrJXamXl5dHEydOpF27dlFeXh7t3buXevfuTZqamnTp0iVOTnYdm42NDYWHh1NGRgYlJSWRtrY2+fr6UteuXWnSpEl0+PBhWrBgAamrq9Po0aN5esn8e3h40J49e2jv3r3UvHlzMjAwoPHjx1NgYCClp6fTli1byNTUlFxdXamyspLz/91331FCQgLt37+f8vLyaMOGDdSqVStycHCgN2/ecHKVlZVUVlam0l9Vql7fOH78eNLQ0KDLly9zz6tfgffq1StydXUlqVRKixYtosOHD9OMGTNIQ0ODevToIZd2W1tbat++Pe3YsYMOHjxIPj4+pKGhQdeuXePkzp8/T3p6euTi4kIbN26kw4cP08SJE0lNTY1mzZpVx5rwllWrVhEA6tu3L5e/zZs3JxsbG4VXJ1paWpKvry/t2rWLDh8+TDdu3KAtW7YQAOrWrRulpqZSSkoKtW3blkQiER07dowLw9zcnKKiorjf8+fPJ01NTQJAf/75JxG9vfJTV1eXJk+erHIaZGVjY2NDX375JWVmZtLixYtJKpVS69ateeUfFRVFAGjUqFFcPTU2NiZra2ve1ZyKrqatfp3m06dPqUWLFiSVSikuLo4yMzNp9+7dNHbsWMrOziYiomXLlpFAIKD/+7//44W1YsUKAkDnz5/n3FStl1XrfdUrTvft20cAaO3atbx0VL9WVdU88Pb2JkNDQ2rWrBklJSVRVlYWjRw5kgDQhg0bOLkXL16Qm5sbGRkZ0eLFi+nIkSO0bNky0tPTo86dO/P0VRVFVzyGhYWRSCQiJycnWrZsGWVlZVFERAQBoKlTp1Lz5s1p7dq1lJmZSQEBAQSAd1Wy7DpJa2trioyMpEOHDtHq1avJxMSErK2t6fHjx5zsvHnzCAANGDCADhw4QBs3biR7e3vS09PjlWVYWBgJhUKytbWlhIQEOnr0KGVmZtL58+fJ09OTzMzMKD8/n/uTER4eTmvXrqWsrCzKysqiOXPmkKamJs2ePZuXDzY2NmRlZUXOzs60ceNGyszMpH79+hEAysvL4+Tu3r1L5ubmvDJISUmhyMhIunjxYr2W09WrVyk4OJgA8NJWWlrK1cGsrCyenwMHDhAAOnDgABH91Z9YW1tTp06daPfu3bRz50766KOPSCgU0vHjxzm/den3WBv6b8AM1f9xZB3Gd999x3NPSEio9Y748vJyevPmDTVr1ox3d7esoffq1YsnP27cOAJAY8aM4bn37t2bDAwMeG4AyMzMjJ4/f865paamEgByc3PjNdSlS5cSAPrtt98U6ikzRm/dukUAaN++fXK6qvJX9V72qobqw4cPSU9Pj/r27cs9r26oJiUlEQDasWMHT7cFCxYQADp8+DAv7aampvT06VPOrbCwkNTU1CghIYFz8/PzIysrK7k750eNGkUSiYQePXqkMD+UUVFRQWZmZtShQwee+61bt0goFCo0VJs0acIz/CoqKsjCwoJcXFyooqKCc3/27BmZmJiQh4cH5zZw4ECyt7fnfn/yySc0bNgw0tfX5zrtn376SS5/akNWNtXvk5cZ0Js3byYioosXLxIAGjlyJE/u5MmTBICmTZvGualiqMbFxSkclKvy9OlT0tHRobFjx/LcnZ2dydfXl+emar1cv34956fqIEtE1KlTJ7KysqJXr15x6ag6yNYlD7y9vQkAnTx5Uk53Pz8/7ndCQgKpqanJ3Se+a9cuAkAHDx5Umj/KUGaoAqDdu3dzbmVlZWRsbEwA6MyZM5x7cXExqaur04QJEzg3maEaFBTEi0tW5+Lj44mI6PHjx6SpqSn3Qnn79m0Si8UUGhoqp9O6devk0tCzZ0+5OqSIiooKKisro7i4ODI0NOT1dTY2NiSRSOjWrVuc26tXr8jAwICGDx/OuUVGRpJQKKQLFy4ojac+y+mLL74gRd+9KioqyN7engIDA3nu/v7+1KRJEy5tsv7EwsKCq6tEb9uLgYEBffLJJ5xbXfo91ob+G7Cp//9x8vLyAAAhISE89wEDBsjJlpeXY968eXB2doZIJIKGhgZEIhGuXLkiNwUGQG7Xu5OTEwDI3dDi5OSER48eyU3/+/r6QiqVyvn39/fnTZvJ3G/dusW53b9/HyNGjIC1tTU0NDQgFAphY2MDADxd27Zti1OnTqn0Z2FhIZdGADA0NMSUKVOwe/dunDx5UqFMdnY2pFIpgoODee6yqePq01u+vr68czNNTU1hYmLCpbG0tBRHjx5FUFAQtLS0UF5ezv316NEDpaWlOHHihEJdlHH58mUUFhbK1YXGjRvD09NToZ9PP/0UQqGQF0ZBQQEGDRrEu1FGW1sbffv2xYkTJ7g1e126dMH169dx48YNlJaW4scff0T37t3h6+uLrKwsAMCRI0cgFovRqVOnOqUFAD7//HPe75CQEGhoaHDLE2T/Vp++b9++PZycnBROOdbEoUOH0Lx5c3zyySdKZXR0dBAREYHk5GRuCi87OxsXLlzAqFGjeLKq1stevXopjW/BggW4e/culi1bpvB5XfPAzMwM7du357m5urry2l56ejpatmwJNzc3Xr308/Or9537AoEAPXr04H5raGigadOmMDc3R+vWrTl3AwMDXvupSvV64uHhARsbGy5v8vPz8erVK7k8sra2RufOnRXWk759+9YpHdnZ2fjkk0+gp6cHdXV1CIVCzJw5E8XFxbh//z5P1s3NDY0bN+Z+SyQSNG/enJe2Q4cOwdfXl+sbFfFPlJOamhpGjRqF9PR03L59GwBw7do1ZGRkYOTIkXIH/vfp0wcSiYT7raOjg169euGHH35ARUVFnfs91ob+G7ArVP/HKS4uhoaGBgwMDHjuiq4KnTBhAlasWIEpU6bA29sb+vr6UFNTw9ChQ/Hq1Ss5+ephikSiGt1LS0t5x368i3/g7Xqhbt26oaCgADNmzICLiwukUikqKyvRsWNHnq7a2tpwc3OT010RGhrKm8u4cePw7bffYvLkyZzxX5Xi4mKYmZnJdcwmJibQ0NBAcXExz93Q0FAuDLFYzOleXFyM8vJyLF++HMuXL1eoU13X48p0UFT2pqamCg+lNzc3VxhGdXcAsLCwQGVlJR4/fgwtLS3OoDty5Ajs7OxQVlaGzp07o6ioCHPmzOGeeXp6QlNTs05pAd4OCFXR0NCAoaEhp2NtuioyamriwYMHPANCGaNHj8a3336LLVu2ICoqCt9++y2srKwQGBjIk1O1Xqqrqyt95uHhgd69e2P+/PmIioqSe17XPKitXgJAUVERrl69ynuBqUp9rhPX0tLiGTbA2/6geh8hc5f1EVWpXk9kbqrWE9lLVVWd6rLp6+eff0a3bt3g4+ODNWvWwMrKCiKRCKmpqZg7d65c36pKGTx48ABWVlY1xvtPlVNkZCRmzpyJpKQkzJs3DytWrICmpiYiIyPlZJWVxZs3b/D8+XM8f/68Tv0ea0P/DZih+j+OoaEhysvL8ejRI17nrmgX++bNmzF48GDMmzeP5/7w4UM0atTo71ZVZf744w+cO3cOycnJCAsL49yrb7gC3n5R9vX1VSncGzduKL0lRVNTE7NmzUJUVBQO/D/2zjuqimv7498Bbqc3qVIsFAWxRCMk0kSkGLtPsABq7DEajA0RsKFAjMao2LF3JIKKgCDPRGwviT5r9D2xRFGDEhXFUPbvD393HsO9wL2IonE+a7EW98yec/Y5Z58ze+a0gwcVrhsZGeHUqVMgIo6z+uDBA1RUVMDY2FglHeQYGBhAU1MTw4YNq3UBjp2dnVpxyjvQ6ost5NS2q0FNx1sex7179xRk7969Cw0NDRgYGAAArKys0Lp1a+Tk5MDW1hadOnWCvr4+fH19MX78eJw6dQonT55s8LY3RUVFnLO/KyoqUFxczOpYXdeaD/W7d++qXScmJiYqLcJq2bIlAgICsGLFCgQEBODAgQOIi4tTeFjW9pCqycaNG+vczzU+Ph5t27ZVaLdA45cB8Oo0IYlEonSBj/z6u4Qy2y4qKkLLli0B1G/TNfNT37GgNdm5cycEAgEyMjI4TndaWppa8VRHFVt8W/Wkp6eHsLAwrFu3DlOnTsXGjRsRGhqq9JlRW10IhUJoa2tDIBCo1e/xbejvAe+ofuB4enoiISEBu3btwrhx49jwnTt3KsgyDAORSMQJO3jwIH7//Xe2U38XkD8oauq6evVqBVn50L8q1Db0L2fEiBH49ttvMWPGDIUVnL6+vti9ezfS0tLQt29fNnzz5s3sdXWQSqXw9vbGL7/8AldXV/ar8uvg4OAAMzMz7N69G1999RUbfuvWLZw4caLe/MvjsLS0xPbt2zF16lS2LkpLS7Fv3z52JwA53bt3x+7du2Ftbc1OCWndujWaN2+OOXPmoLy8vM6h9LrYtm0bZ7eA3bt3o6KiAl5eXgAAHx8fAK9ewD766CNW7syZM7h8+TKioqLUSi8gIABz5sxBbm4uG3dtfPnll+jRowfCwsKgqamJzz//XEFGVbus74XE0dERI0aMwPLly+Hu7s651thlALya8rNw4UIYGRmp/bLUFGzbto0zVH/ixAncvHkTo0aNAgB07doVEokEW7duxcCBA1m5O3fuIDc3V2E6T23U/Gomh2EYaGlpcV5UXrx4gS1btjQ0SwgICMCWLVtw9epVODg4KJVpzHqS97UvXrxQOvoxadIkrFy5EgMGDEBJSYnCNBc5qampSExMZB32p0+fIj09HZ9++ik0NTXV7vf4NvT3gHdUP3B69uwJDw8PREZG4smTJ+jYsSMKCgpYB6r6PMPg4GCkpKTA0dERrq6u+Ne//oXExMR6h5jeNo6OjmjRogVmzJgBIoKhoSHS09MVhuiAV3OgOnXq1CjpampqYuHChawj6urqyl4bPnw4VqxYgbCwMBQWFsLFxQU//vgjFi5ciMDAwAY5Y8uWLcMnn3yCTz/9FOPGjYOtrS2ePn2K69evIz09Hbm5uaysl5cX8vPzFbaJqY6Ghgbi4uIwZswYDBgwACNGjEBJSQni4uJgbm7OsYW64khISMCQIUMQHByMMWPG4OXLl0hMTERJSQm7dZAcX19frFy5En/88QdnM3RfX19s3LgRBgYGam1NVZ3U1FRoaWnBz88PFy9eRHR0NNq1a8fOwXVwcMDo0aOxfPlyaGhoICAgAIWFhYiOjoa1tTWmTJmiVnqTJ0/Grl270Lt3b8yYMQOdO3fGixcvkJ+fj+DgYM6Xez8/Pzg7OyMvLw9Dhw6FqampQnyNZZfAqy27tm3bhry8PM6878YuA+BVOezbtw/dunXDlClT4OrqiqqqKty6dQtZWVmIjIxEly5dWL3i4uKQl5fHvkC8bc6ePYtRo0Zh4MCBuH37NqKiomBpaYnx48cDAPT19REdHY1Zs2Zh+PDhCAkJQXFxMeLi4iAWixETE6NSOi4uLkhNTcWqVavQsWNHaGhooFOnTggKCsKSJUsQGhqK0aNHo7i4GElJSQov2uowd+5cHD58GN26dcOsWbPg4uKCkpISZGZm4quvvoKjo6Na9aRK3oBX8zkDAgKgqanJcSRbt26Nnj174vDhw/jkk0/Qrl07pfFoamrCz88PX331FaqqqrB48WI8efKEM6qiTr/Ht6G/CU28mIvnHeDRo0cUERFB+vr6JJVKyc/Pj06ePEkAaNmyZazc48ePaeTIkWRqakpSqZQ++eQTOn78OHl6epKnpycrV3PVpBz5KtuaKxmrr6CXA4AmTJjAkZOvDE1MTOSEK0vv0qVL5OfnRzo6OmRgYEADBw6kW7du1buTgaoo01mOu7s7AeCs+id6tfJ47NixZG5uTlpaWmRjY0MzZ86ksrIyjpyyvBMprjInelUmI0aMIEtLSxIIBGRiYkLu7u7simU5HTt2JDMzM5XytmbNGmrZsiUJhUJq3bo1bdiwgXr37k3t27fnpKusLuSkpaVRly5dSCwWk0wmI19fX/rpp58U5B4/fkwaGhokk8k4uwfIV+j369dPJZ2rI6+bf/3rX9SrVy/S1tYmHR0dCgkJofv373NkKysrafHixdS6dWsSCARkbGxMQ4cOpdu3b3PkVFn1L8/Pl19+Sc2bNyeBQECmpqYUFBTE2b5NTmxsLAGgkydPqp3H2qit7RERzZo1iwAobK2jahl4enpSmzZtFOJVVjbPnj2j2bNnk4ODAwmFQnY7oSlTplBRURErFxkZSQzDsFsm1Zevmqv+a+alLj1r7sQh74+ysrJo2LBhpK+vz67uv3btmsL969atI1dXVzY/vXv35mwnVpdORK/62QEDBpC+vj4xDMNZJb9hwwZycHAgkUhE9vb2FB8fT+vXr1fYbaRmHqrnuXofTER0+/ZtGjFiBJmZmZFAICALCwsaNGgQpw2oWk/18fLlSxo1ahSZmJiweauuNxFRSkoKAaCdO3cq3C/vTxYvXkxxcXFkZWVFQqGQ2rdvT0eOHFEqr0q/1xD+rm3ofYZ3VHmUIncUlDkXPO8XT548IS0tLfr+++8bdP/jx4/JxMSEPv/880bW7M1Q10vEu0THjh2pU6dOTa1Gk/LRRx/RgAEDmiTt2l6ced4M/fr1IwsLC84LqZz6Xnx5aqcp29Dbgh/658GOHTvw+++/w8XFBRoaGjh58iQSExPRrVs3hfk4PO8f//znP2Fpaal0HmRNioqKsGDBAnh7e8PIyAg3b97Et99+i6dPn+LLL798C9r+vXny5AkuXLiAjIwM/Otf/8L+/fubWqUm48mTJzh37pzCiVE8fx9evnyJn3/+GadPn8b+/fuxZMkSlRc48dTPh9KGeEeVBzo6Oti5cyfmz5+P0tJSmJubIzw8HPPnz29q1XgagaCgIIW9a2tDJBKhsLAQ48ePx6NHjyCVSvHxxx8jOTlZ4WjTt01VVZXCIrWa1LWF2LvAzz//zL4ExMTEoE+fPk2tUpOhq6urcHwwz7vF67a5e/fuwd3dHbq6uhgzZgy++OKLxlbxg+ZDaUMMUR2rK3h4eHjeEeSLBuqiri3EeHh41CM8PLzer3W8C8HzpuEdVR4enveCu3fv4u7du3XKNNZWXTw8PEBhYWG9m8s35sp6Hh5l8I4qDw8PDw8PDw/PO0n9GyPy8PDw8PDw8PDwNAG8o9pE2Nra1nlkW11s376dszn6u8yhQ4cQGxur9NrrlMGHwJuu5/fNBlNSUsAwDMRiscL52cCrQw3atm37VnVqDOT5KiwsbGpV6oVhmFrb8/vGypUrkZKS0iRpMwwDhmEUDsAA/mcPZ8+ebQLNPizUKevw8PC3Pv89NjYWDMPA1NQUT58+Vbhua2uL4ODgt6pTU8A7qk3E/v37ER0d3aB73zdHtbYFMK9TBh8Cb7qe31cbfPnyJWbPnt0kaX/oFBQUsEeLvu80paMqZ9GiRXj06FGT6sCjGtHR0U22ndzDhw+RkJDQJGm/C/COahPRvn17tGjRoqnV4KDsHOo3ybtYBu8rlZWVam9T8r6Wf8+ePbF9+3acO3euqVV5rykvL0dFRYVa93z88cfv3JHJwKuV52+7/3pdunfvjtLSUixYsKCpVeFRgRYtWqB9+/ZNknbPnj3x7bffoqioqEnSb2p4R7WJqDnseuzYMTAMgx07diAqKgoWFhbQ1dVF9+7dcfXqVVbOy8sLBw8exM2bN9nhI4Zh2Ot//fUX5s+fD0dHR4hEIpiYmCAiIgIPHz5USD84OBipqalo3749xGIx++VzxYoV6NatG0xNTSGTyeDi4oKEhASUl5cr5CMzMxO+vr7Q09ODVCqFk5MT4uPjAbwaKlmxYgUAcHSVD3EqG3q+desWe/a5SCSCk5MTvvnmG85efoWFhWAYBklJSViyZAns7Oygra2Nrl274uTJk2rXRUlJCSIjI2Fvbw+RSARTU1MEBgbiypUrrMyjR48wfvx4WFpaQigUwt7eHlFRUQrOIcMwmDhxIrZs2QInJydIpVK0a9cOGRkZHLmHDx9i9OjRsLa2ZuvJw8MDOTk5AOquZ3n+ExISMH/+fNjZ2UEkEiEvLw9lZWWIjIyEm5sb9PT0YGhoiK5du+KHH35QyPebssFVq1ahXbt20NbWho6ODhwdHTFr1iy166U2pk2bBiMjI0yfPr1e2bKyMsycORN2dnYQCoWwtLTEhAkTUFJSwpGTt4fMzEx06NABEokEjo6O2LBhg0KcRUVFGDNmDKysrCAUCmFnZ4e4uDi1nb76yMnJga+vL3R1dSGVSuHh4YGjR49yZK5fv46IiAi0atUKUqkUlpaW6NWrF/79739z5OR1u2XLFkRGRsLS0hIikQjXr19HeHg4tLW1cf36dQQGBkJbWxvW1taIjIxUat/Vh/7lQ6d5eXkYN24cjI2NYWRkhH79+ins0PDy5UtERkbCzMwMUqkU3bp1w7/+9a8GTUGRt7Pk5GQ4OTlBJBKx2yjFxcWhS5cuMDQ0hK6uLjp06ID169dztlGytbXFxYsXkZ+fz9pv9WHdJ0+eYOrUqRy7mTx5MkpLS9XSsy4cHBwwcuRIrFixQulUlpocOHAAXbt2hVQqhY6ODvz8/FBQUMCRkQ8VX7x4ESEhIdDT00OzZs0wYsQI/PnnnxxZIsLKlSvh5uYGiUQCAwMDDBgwAP/9738blB95v5SYmIjFixfD1tYWEokEXl5e+O2331BeXo4ZM2bAwsICenp66Nu3Lx48eMCJY9euXejRowfMzc0hkUjg5OSEGTNmcMr9jz/+gLW1Ndzd3TnPpEuXLkEmk2HYsGFq6/748WNERETA0NAQMpkMvXr1UigHZUP/qvb3r8v8+fNRUVGh0rSbxn5WAcC1a9cQGhrKeS7Ln+1vhaY6EutDp+Y54fLzhW1tbWnIkCF08OBB2rFjBzVv3pxatWpFFRUVRER08eJF8vDwIDMzMyooKGD/iF6dN9yzZ0+SyWQUFxdH2dnZtG7dOrK0tCRnZ2d6/vw5J31zc3Oyt7enDRs2UF5eHp0+fZqIiKZMmUKrVq2izMxMys3NpW+//ZaMjY0pIiKCk4d169YRwzDk5eVF27dvp5ycHFq5ciWNHz+eiIiuX79OAwYMIAAcXeVn29csgwcPHpClpSWZmJhQcnIyZWZm0sSJEwkAjRs3jpWTH7dna2tLPXv2pLS0NEpLSyMXFxcyMDCgkpISlevhyZMn1KZNG5LJZDR37lw6cuQI7du3j7788kvKzc0lIqIXL16Qq6sryWQySkpKoqysLIqOjiYtLS0KDAzkxCfXq3PnzrR79246dOgQeXl5kZaWFv3nP/9h5fz9/cnExITWrFlDx44do7S0NJozZw57DnZd9SzPv6WlJXl7e9PevXspKyuLbty4QSUlJRQeHk5btmyh3NxcyszMpKlTp5KGhgZt2rSJo+ubsMEdO3YQAPriiy8oKyuLcnJyKDk5mSZNmsRJu7y8XKW/qqoq9p7qR14uW7aMANDRo0fZ6zXP0a6qqiJ/f3/S0tKi6OhoysrKoqSkJJLJZNS+fXvWDuVlYWVlRc7OzrR582Y6cuQIDRw4kABQfn4+K3fv3j2ytrYmGxsbWr16NeXk5NC8efNIJBJReHh4feamFHm+qp+NvmXLFmIYhvr06UOpqamUnp5OwcHBpKmpSTk5Oaxcfn4+RUZG0t69eyk/P5/2799Pffr0IYlEQleuXFGoW0tLSxowYAAdOHCAMjIyqLi4mMLCwkgoFJKTkxMlJSVRTk4OzZkzhxiGobi4OI6uACgmJkZBd3t7e/riiy/oyJEjtG7dOjIwMCBvb2/OvSEhIaShoUEzZsygrKwsWrp0KVlbW5Oenh7HDlVBnhdXV1favn075ebm0oULF4iIKDw8nNavX0/Z2dmUnZ1N8+bNI4lEwsnLzz//TPb29tS+fXvWfn/++WciIiotLSU3NzcyNjamJUuWUE5ODi1btoz09PTIx8eHY5MVFRUq2XFlZaWC/hMmTKB79+6RVCqlYcOGKZRp9aNd5Uda9+jRg9LS0mjXrl3UsWNHEgqFdPz4cVZOfnywg4MDzZkzh7Kzs2nJkiUkEokU+u/PP/+cBAIBRUZGUmZmJm3fvp0cHR2pWbNmnLPkVUXeL9nY2FCvXr0oIyODtm7dSs2aNaPWrVvTsGHDaMSIEXT48GFKTk4mbW1t6tWrFyeOefPm0bfffksHDx6kY8eOUXJyMtnZ2SnY0o8//khaWlo0ZcoUts6cnZ3J0dGRnj17prLO8rK2trZmdVuzZg2ZmpqStbU1PX78mJUNCwsjGxsbzv2q9vdVVVUq93nVqX4c9JQpU0hLS4uuXr3KXrexsaGgoCD295t4Vl28eJH09PTIxcWFNm/eTFlZWRQZGUkaGhoUGxurclm/Dryj2kTU5iTUNKbdu3ezjp6coKAghQZD9D8nYd++fZzwM2fOEABauXIlJ31NTU2O0SujsrKSysvLafPmzaSpqUmPHj0iIqKnT5+Srq4uffLJJ5yOuyYTJkyg2t6HapbBjBkzCACdOnWKIzdu3DhiGIbVVd4huri4sM4TEdHp06cJAO3YsaPOPFVn7ty5BICys7NrlUlOTiYAtHv3bk744sWLCQBlZWWxYQCoWbNm9OTJEzasqKiINDQ0KD4+ng3T1tamyZMn16lbbfUsz3+LFi2UnptdHfmDdOTIkdS+fXvOtTdhgxMnTiR9ff06dZLrr8pfXl4ee1/1B/jLly/J3t6eOnXqxNpfTUc1MzOTAFBCQgIn/V27dhEAWrNmDacsxGIx3bx5kw178eIFGRoa0pgxY9iwMWPGkLa2NkeOiCgpKYkA0MWLF+vMuzJqOqqlpaVkaGio8BCvrKykdu3aUefOnWuNq6Kigv766y9q1aoV+xAn+l/dduvWTeGesLAwpfYdGBhIDg4OnLDaHFX5y6mchIQEAkD37t0jolcPOwA0ffp0jpy8z2qIo6qnp8f2R7Uh77/mzp1LRkZGnL6qTZs25OnpqXBPfHw8aWhocBxFIqK9e/cSADp06BAb5unpqZId18yf3FElIoqKiiINDQ06d+4cESk6qpWVlWRhYUEuLi4ch/fp06dkampK7u7ubJjcsalp8+PHjyexWMzmv6CggADQN998w5G7ffs2SSQSmjZtWp3lqgx5u27Xrh1Hz6VLlxIA+uyzzzjykydPJgD0559/Ko1P7tzl5+cTALZ85Mj73/3791NYWBhJJBI6f/68WjrLy7pv376c8J9++okA0Pz589mw2hxVVfp7eftT5a/6C2t1R/WPP/4gPT096t+/P3u9pqP6Jp5V/v7+ZGVlpVBPEydOJLFYXG8bbAz4of93jM8++4zz29XVFQBUGhrKyMiAvr4+evXqhYqKCvbPzc0NZmZmOHbsmELcrVu3Vojnl19+wWeffQYjIyNoampCIBBg+PDhqKysxG+//QYAOHHiBJ48eYLx48dzhn1fh9zcXDg7O6Nz586c8PDwcBARcnNzOeFBQUHQ1NTk5AdQrazkHD58GK1bt0b37t3r1Esmk2HAgAEKegFQGI719vaGjo4O+7tZs2YwNTXl6NW5c2ekpKRg/vz5OHnypNJpFfXx2WefKT03e8+ePfDw8IC2tja0tLQgEAiwfv16XL58WeV4q6NOuXbu3BklJSUICQnBDz/8oHSzcAsLC5w5c0alv44dOypNRygUYv78+Th79ix2796tVEZuLzWHlQcOHAiZTKZQb25ubmjevDn7WywWo3Xr1px8Z2RkwNvbGxYWFpw2FhAQAADIz8+vt4zq48SJE3j06BHCwsI4aVRVVaFnz544c+YMOxRaUVGBhQsXwtnZGUKhEFpaWhAKhbh27ZrS+u7fv7/SNBmGQa9evThhrq6uKrel+mxGXi6DBg3iyA0YMKDBx976+PjAwMBAITw3Nxfdu3eHnp4e23/NmTMHxcXFCkPNysjIyEDbtm3h5ubGKX9/f38wDMPpR1evXq2SHdc1ZDtt2jQYGhrWOpXl6tWruHv3LoYNGwYNjf89srW1tdG/f3+cPHkSz58/59yjrD7KysrY/GdkZIBhGAwdOpSTRzMzM7Rr107hWaEOgYGBHD2dnJwAQOEYZ3n4rVu32LD//ve/CA0NhZmZGVt3np6eAKBgz19//TWCgoIQEhKCTZs2Yfny5XBxcWmQzkOGDOH8dnd3h42NDfLy8uq9V5X+vmPHjir3eRYWFkrTkU932rdvH06dOqVUprGfVWVlZTh69Cj69u0LqVTKsZXAwECUlZU1aLqdurzbB2N/gBgZGXF+i0QiAKotdLp//z5KSkpqPZmnptNgbm6uIHPr1i18+umncHBwwLJly2BrawuxWIzTp09jwoQJrB7yOa+NubCiuLhY6fYf8oZbXFzMCX+dspLz8OFDjnNSm15mZmYKDrmpqSm0tLTq1UuuW3W9du3ahfnz52PdunWIjo6GtrY2+vbti4SEBJiZmamku7L6S01NxaBBgzBw4EB8/fXXMDMzg5aWFlatWqV0vqUyXqdchw0bhoqKCqxduxb9+/dHVVUVPvroI8yfPx9+fn4AXjmZbm5uKulS/UWkJoMHD0ZSUhKioqLQr18/hevFxcXQ0tKCiYkJJ5xhGJiZmTWo3u7fv4/09HSlLwiAYhtrCPfv3wcAhYdNdR49egSZTIavvvoKK1aswPTp0+Hp6QkDAwNoaGhg1KhRSutLmc0AgFQqhVgs5oSJRCKUlZWppHN9NiMv62bNmnHktLS0lJa7KijLy+nTp9GjRw94eXlh7dq17DzitLQ0LFiwQOV+9Pr16yrVccuWLVU6QrS641YTXV1dzJ49G5MnT1bqGMnLTll+LSwsUFVVhcePH0MqlbLh9dXH/fv3QUQK9SHH3t6+nhzVjqGhIee3/HlUW7jcxp49e4ZPP/0UYrEY8+fPR+vWrSGVSnH79m3069dPoe4YhkF4eDgOHjwIMzOzBs1NlaOsz1XWRyhDlX5DW1tb5T6vrhe3yZMn4/vvv8e0adOUvhQ39rOquLgYFRUVWL58OZYvX65Up8bo8+qDd1T/RsgXMmRmZiq9Xv3NCYDSL6FpaWkoLS1FamoqbGxs2PBff/2VIyd/+N+5c+c1tf4fRkZGuHfvnkK4fFGGsbFxo6Ulx8TEpN48GBkZ4dSpUyAiTpk9ePAAFRUVDdLL2NgYS5cuxdKlS3Hr1i0cOHAAM2bMwIMHD2qtv5ooq7+tW7fCzs4Ou3bt4lxXd0eA1yEiIgIREREoLS3FP//5T8TExCA4OBi//fYbbGxsUFhYCDs7O5XiysvLg5eXl9JrDMNg8eLF8PPzw5o1axSuGxkZoaKiAg8fPuQ4q0SEoqIifPTRR2rnzdjYGK6urrWu1K7ta4i6aQDA8uXL8fHHHyuVkTsYW7duxfDhw7Fw4ULO9T/++AP6+voK9zXW6Ie6yB+I9+/fh6WlJRteUVGhkjOgDGV52blzJwQCATIyMjiOd1pamsrxGhsbQyKR1PpiV729+/r6qvQVPSwsrM6tsMaNG4dly5Zh+vTpGDduHOeavOxq6xs1NDSUflmuC2NjYzAMg+PHj7NObHWUhb1pcnNzcffuXRw7doz9igpAYeGjnHv37mHChAlwc3PDxYsXMXXqVHz33XcNSlvZavqioiK0bNmyQfHVJD8/H97e3irJ3rhxo9b9WiUSCWJjYzF69GgcPHhQ4XpjP6sMDAygqamJYcOGYcKECUplVO3LXwfeUX0Pqfm2Jic4OBg7d+5EZWUlunTp0qC45cZdvaMiIqxdu5Yj5+7uDj09PSQnJ2Pw4MG1PgCrv8lLJJI60/b19UV8fDx+/vlndOjQgQ3fvHkzGIZRuaGrQ0BAAObMmYPc3Fz4+PjUqtfu3buRlpaGvn37cvSSX38dmjdvjokTJ+Lo0aP46aef2PDa6rkuGIaBUCjk1EdRUZHSVf+vgyq6yWQyBAQE4K+//kKfPn1w8eJF2NjYsEP/quDg4FDn9e7du8PPzw9z586FtbU155qvry8SEhKwdetWTJkyhQ3ft28fSktLG1RvwcHBOHToEFq0aKG2c6AqHh4e0NfXx6VLlzBx4sQ6ZRmGUXAqDh48iN9//73RHrKNQbdu3QC8Gkmo3rb37t3bqLslMAwDLS0tzpf4Fy9eYMuWLQqydfWjCxcuhJGRUb0P4dWrVyvdiL0m9TkI8qksQ4YMUZB1cHCApaUltm/fjqlTp7Jtu7S0FPv27WN3AlCH4OBgLFq0CL///rvCdIymQtmzB3hVxjWprKxESEgIGIbB4cOHsW3bNkydOhVeXl5KR1fqY9u2bZxpMSdOnMDNmzcbbc9g+dC/KtT3sjtixAh8++23mDFjBmc3HKDxn1VSqRTe3t745Zdf4OrqWuto7ZuGd1TfQ1xcXJCamopVq1ahY8eO0NDQQKdOnTB48GBs27YNgYGB+PLLL9G5c2cIBALcuXMHeXl56N27N8d4leHn5wehUIiQkBBMmzYNZWVlWLVqFR4/fsyR09bWxjfffINRo0ahe/fu+Pzzz9GsWTNcv34d586dw/fff8/qCgCLFy9GQEAANDU1azX4KVOmYPPmzQgKCsLcuXNhY2ODgwcPYuXKlRg3bpzS+bSvy+TJk7Fr1y707t0bM2bMQOfOnfHixQvk5+cjODgY3t7eGD58OFasWIGwsDAUFhbCxcUFP/74IxYuXIjAwMA657cq488//4S3tzdCQ0Ph6OgIHR0dnDlzBpmZmZxOtrZ6rgv5lmPjx4/HgAEDcPv2bcybNw/m5ua4du1ag8pIGbXp9vnnn0MikcDDwwPm5uYoKipCfHw89PT02C+YQqGw3nyow+LFi9GxY0c8ePAAbdq0YcP9/Pzg7++P6dOn48mTJ/Dw8MD58+cRExOD9u3bN2iocO7cucjOzoa7uzsmTZoEBwcHlJWVobCwEIcOHUJycjI7HSY8PBybNm2q8wuJMrS1tbF8+XKEhYXh0aNHGDBgAExNTfHw4UOcO3cODx8+xKpVqwC8qu+UlBQ4OjrC1dUV//rXv5CYmPjO7XXapk0bhISE4JtvvoGmpiZ8fHxw8eJFfPPNN9DT06tzaFwdgoKCsGTJEoSGhmL06NEoLi5GUlKS0i+ELi4u2LlzJ3bt2gV7e3uIxWK4uLhg8uTJ2LdvH7p164YpU6bA1dUVVVVVuHXrFrKyshAZGcl+CKjvRUodQkJCkJSUhMOHD3PCNTQ0kJCQgCFDhiA4OBhjxozBy5cvkZiYiJKSEqWnW9WHh4cHRo8ejYiICJw9exbdunWDTCbDvXv38OOPP8LFxYX9snvs2DF4e3sjJibmjZ5K5u7uDgMDA4wdOxYxMTEQCATYtm2b0v2SY2JicPz4cWRlZcHMzAyRkZHIz8/HyJEj0b59e7W/8p09exajRo3CwIEDcfv2bURFRcHS0hLjx49vlLzp6Og0Wp+nqamJhQsXss9y+XxwAI3+rAKAZcuW4ZNPPsGnn36KcePGwdbWFk+fPsX169eRnp7OWTvi5eWF/Px8labDqMUbX67Fo5TaVlzv2bOHIydfSblx40Y27NGjRzRgwADS19cnhmE4q+rLy8spKSmJ2rVrR2KxmLS1tcnR0ZHGjBlD165d46RffbVgddLT09n7LS0t6euvv6bDhw8rrMImIjp06BB5enqSTCYjqVRKzs7OtHjxYvb6y5cvadSoUWRiYsLqKl/VWLMMiIhu3rxJoaGhZGRkRAKBgBwcHCgxMZGzilReJomJiQq6o8aqZFV4/Pgxffnll9S8eXMSCARkampKQUFBnO19iouLaezYsWRubk5aWlpkY2NDM2fO5GxxJE9fvpq3OtXzWlZWRmPHjiVXV1fS1dUliURCDg4OFBMTQ6Wlpew9tdVzXfknIlq0aBHZ2tqSSCQiJycnWrt2Lbt6tDadiBrHBjdt2kTe3t7UrFkzEgqFZGFhQYMGDVJ7Na4ylG3bIyc0NJQAcFb9E71auT99+nSysbEhgUBA5ubmNG7cOM62M0S1twdPT0+FleEPHz6kSZMmkZ2dHQkEAjI0NKSOHTtSVFQUZ2uc/v37k0QiUUirtnxVX+1L9GrrqaCgIDI0NCSBQECWlpYUFBTEqZ/Hjx/TyJEjydTUlKRSKX3yySd0/PhxBb1rq1uiV6uZZTKZQrgym6nZvmqrE3l61fuLsrIy+uqrr8jU1JTEYjF9/PHHVFBQQHp6epwdClShtnZGRLRhwwZycHAgkUhE9vb2FB8fT+vXr1co48LCQurRowfp6Oiw2yrJefbsGc2ePZscHBxIKBSy2/NMmTKlQVs3qap/VlYWu/q7ZpmmpaVRly5dSCwWk0wmI19fX/rpp584MtVXiVenNhvbsGEDdenShWQyGUkkEmrRogUNHz6czp49y8qkp6cTAEpOTq4zT7X1S7XZnjLbOXHiBHXt2pWkUimZmJjQqFGj6Oeff+b0P1lZWaShoaHQzxcXF1Pz5s3po48+opcvX9apa00dsrKyaNiwYaSvr08SiYQCAwM5z0ui2lf919ffvw611ScRkbu7OwFQ6Lca81kl58aNGzRixAiytLQkgUBAJiYm5O7uztkVgYioY8eOZGZm1sDc1g7z/wrz8PDw8DQi8gUeiYmJTa3KO8uJEyfg4eGBbdu2ITQ0tKnV4VHCtGnTsGPHDly7dk1hwR0Pj5ynT5/C0NAQS5curXU+a0Phh/55eHh4GpmLFy/i+fPnKp2e9aGQnZ2NgoICdOzYERKJBOfOncOiRYvQqlWrBs0r5Hk75OXlITo6mndSeerkn//8JywtLfH55583etz8F1WevyVEhMrKyjplNDU1m2wVNA/Ph8apU6cQGRmJS5cu4enTpzA2Noa/vz/i4+PZrZfqW1iloaHRaPNZef6+8P3/3wu+xfP8LcnPz4dAIKjzT342OA8Pz5unS5cu+PHHH/Ho0SOUl5fj3r17SElJ4ewPWl+bHTFiRBPmgOd9YdOmTfXaUmMczsHzduC/qPL8LXn69CmuXr1ap4ydnV2DNxvn4eFpfM6ePVvndWNjY7V2UOD5MCkuLsaNGzfqlHFwcFDYW5zn3YR3VHl4eHh4eHh4eN5J+KF/Hh4eHh4eHh6edxLeUeXheQusXLmyziMUG3LvsWPHwDAM9u7d+3rKNRJvQp/Y2FiVFzzY2toiPDz8tdNMSUkBwzAQi8W4efOmwnUvLy+0bdv2tdPhebtcunQJsbGxKCwsfKv3vg/Ibb6+qRfqsH37dixdurTR4issLATDMGAYBjt37lS4Lu8r3sbZ8zxvF95R5eF5C7wJR5XnzfLy5UvMnj27qdXgaSQuXbqEuLi4BjuqDb33Q6WxHdXqREVFoby8/I3EzfPuwTuqPDwfKM+fP29qFd5pevbsie3btys9wpGHh6dpCAgIwH//+18kJyc3tSo8bwneUeV5KzAMg4kTJ2Ljxo1wcHCARCJBp06dcPLkSRAREhMTYWdnB21tbfj4+OD69euc+7Ozs9G7d29YWVlBLBajZcuWGDNmDGeYp6ysDO3bt0fLli3x559/suFFRUUwMzODl5dXvXvrVaekpASRkZGwt7eHSCSCqakpAgMDceXKFVYmLi4OXbp0gaGhIXR1ddGhQwesX7+ec9axra0tLl68iPz8fHboStWVy6rcW15ejqioKFhYWEBXVxfdu3dX2PFAPlz9z3/+E+7u7pBKpexWP0+ePMHUqVNhZ2cHoVAIS0tLTJ48GaWlpZw49uzZgy5dukBPTw9SqRT29vZKtwtSRR8A2LBhA9q1awexWAxDQ0P07dsXly9frrdMysvLMW3aNJiZmUEqleKTTz7B6dOn671PXaZNmwYjIyOVNu0vKyvDzJkzOWU4YcIElJSUcORsbW0RHByMzMxMdOjQARKJBI6OjtiwYYNCnEVFRRgzZgysrKwgFAphZ2eHuLi4evcarQ350Oj58+cxcOBA6OnpwdDQEF999RUqKipw9epV9OzZEzo6OrC1tUVCQoJCHiMjI+Hm5sbe27VrV/zwww8cuZ07d4JhGHz//fec8JiYGGhqaiI7O1stvTMzM+Hr68vanZOTE+Lj49nrZ8+exeDBg2FrawuJRAJbW1uEhIRwpm2kpKRg4MCBAABvb2+2LakyUqHKvQ215ZrcunULQ4cOhampKUQiEZycnPDNN9+gqqqKlZEPgSclJWHJkiVsv9m1a1ecPHlSIc6zZ8/is88+g6GhIcRiMdq3b4/du3crTf/p06cYN24cjI2NYWRkhH79+uHu3bscmaqqKiQkJMDR0ZHtF4cPH447d+6wMl5eXjh48CBu3rzJlldj7Vnq4+MDf39/zJs3D0+fPq1XXpW6CQ8Ph7a2Nq5fv47AwEBoa2vD2toakZGRePnyJUf2r7/+wvz589n8m5iYICIiAg8fPmyU/PEoodEPZeXhUQL+/yxtd3d3Sk1Npf3791Pr1q3J0NCQpkyZQr1796aMjAzatm0bNWvWjFxdXamqqoq9f9WqVRQfH08HDhyg/Px82rRpE7Vr144cHBzor7/+YuV+++030tHRoX79+hERUWVlJfn4+JCpqSndvXtXZX2fPHlCbdq0IZlMRnPnzqUjR47Qvn376Msvv6Tc3FxWLjw8nNavX0/Z2dmUnZ1N8+bNI4lEQnFxcazMzz//TPb29tS+fXsqKCiggoIC+vnnn1XSo6575Wdo29ra0pAhQ+jgwYO0Y8cOat68ObVq1YoqKirYeDw9PcnQ0JCsra1p+fLllJeXR/n5+VRaWkpubm5kbGxMS5YsoZycHFq2bBnp6emRj48PWwcnTpwghmFo8ODBdOjQIcrNzaWNGzfSsGHD2DTU0WfhwoUEgEJCQujgwYO0efNmsre3Jz09Pfrtt99YOWXnzYeFhRHDMPT1119TVlYWLVmyhCwtLUlXV1fhjOry8nKV/qrbWvUzyJctW0YA6OjRo5yybNOmDfu7qqqK/P39SUtLi6KjoykrK4uSkpJIJpNR+/btOWds29jYkJWVFTk7O9PmzZvpyJEjNHDgQAJA+fn5rNy9e/fI2tqabGxsaPXq1ZSTk0Pz5s0jkUhE4eHhKtlOTeRl6eDgQPPmzaPs7GyaNm0aAaCJEyeSo6Mjfffdd5SdnU0REREEgPbt28feX1JSQuHh4bRlyxbKzc2lzMxMmjp1KmloaNCmTZs4aY0dO5aEQiF7jvvRo0dJQ0ODZs+erZbO69atI4ZhyMvLi7Zv3045OTm0cuVKGj9+PCuzZ88emjNnDu3fv5/y8/Np586d5OnpSSYmJuwZ6Q8ePGBtbsWKFWxbevDgQb061HevqrasSjqWlpZkYmJCycnJlJmZSRMnTiQANG7cOFbuxo0bbDvr2bMnpaWlUVpaGrm4uJCBgQGVlJSwsrm5uSQUCunTTz+lXbt2UWZmJoWHhxMA2rhxIysnt3l7e3v64osv6MiRI7Ru3ToyMDAgb29vjp6jR49mbSYzM5OSk5PJxMSErK2t2fK+ePEieXh4kJmZGVteBQUFbBwVFRUqtcvKykqFfCcmJtKvv/5KDMNQdHQ0e11u33Id1KmbsLAwEgqF5OTkRElJSZSTk0Nz5swhhmE4fXllZSX17NmTZDIZxcXFUXZ2Nq1bt44sLS3J2dmZnj9/rnJ986gO76jyvBUAkJmZGT179owNS0tLIwDk5ubGcRSWLl1KAOj8+fNK46qqqqLy8nK6efMmAaAffviBc33Xrl0EgJYuXUpz5swhDQ0NysrKUkvfuXPnEgDKzs5W+Z7KykoqLy+nuXPnkpGRESdPbdq0IU9PT7V0qO9euWMYGBjICd+9ezcB4DwYPD09FRwuIqL4+HjS0NBgHQo5e/fuJQB06NAhIiJKSkoiAJyHYEP1efz4MUkkEgW5W7dukUgkotDQUDaspqN6+fJlAkBTpkzh3Ltt2zYCwHFU5Q82Vf7y8vLY+6o7qi9fviR7e3vq1KkTW581HdXMzEwCQAkJCRyd5Ha4Zs0aNszGxobEYjHdvHmTDXvx4gUZGhrSmDFj2LAxY8aQtrY2R47of/Vw8eJFUhd5WX7zzTeccDc3NwJAqampbFh5eTmZmJiwL3zKkDsbI0eOpPbt23OulZWVUfv27cnOzo4uXbpEzZo1I09PT87LSn08ffqUdHV16ZNPPuG0pfqoqKigZ8+ekUwmo2XLlrHhe/bsUahrVantXnVsuT5mzJhBAOjUqVOc8HHjxhHDMHT16lUi+p9du7i4cMrz9OnTBIB27NjBhjk6OlL79u2pvLycE2dwcDCZm5uzjqDc5qu/ABARJSQkEAC6d+8eEf2v/dWUO3XqFAGgWbNmsWFBQUFkY2OjNK82NjYqtcuYmBj2nuqOKhHRkCFDSCaTsbrVdFTVqZuwsDACQLt37+bIBgYGkoODA/t7x44dCi9wRERnzpwhALRy5Uql+eV5Pfihf563hre3N2QyGfvbyckJwKs5R9WHheTh1YfuHjx4gLFjx8La2hpaWloQCASwsbEBAIVhnEGDBmHcuHH4+uuvMX/+fMyaNQt+fn5q6Xr48GG0bt0a3bt3r1MuNzcX3bt3h56eHjQ1NSEQCDBnzhwUFxfjwYMHaqXZUD777DPOb1dXVwBQWLFuYGAAHx8fTlhGRgbatm0LNzc3VFRUsH/+/v5gGAbHjh0DAHz00UcAXpXt7t278fvvvzdYn4KCArx48UJhhb61tTV8fHxw9OjRWuPOy8sDAAwZMoQTPmjQIGhpaXHCLCwscObMGZX+OnbsqDQ9oVCI+fPn4+zZs7UOl+bm5gKAQn4GDhwImUymkB83Nzc0b96c/S0Wi9G6dWtOfWVkZMDb2xsWFhacegkICACA1zpVJzg4mPPbyckJDMOwcQOAlpYWWrZsqWBDe/bsgYeHB7S1tdl2uH79eoU2KBKJsHv3bhQXF6NDhw4gIuzYsQOampoq63nixAk8efIE48ePr3PY+NmzZ5g+fTpatmwJLS0taGlpQVtbG6WlpQ0afleH17HlmuTm5sLZ2RmdO3fmhIeHh4OIWDuTExQUxCnPmu3s+vXruHLlCttWqttRYGAg7t27pzAlp762K29/NfPbuXNnODk5qZzf9PR0ldrl6NGja41j/vz5KC8vR1xcnNLr6tYNwzDo1asXJ8zV1VWhXerr66NXr16c8nRzc4OZmRnbX/I0Llr1i/DwNA6Ghoac30KhsM7wsrIyAK/mRPXo0QN3795FdHQ0XFxcIJPJUFVVhY8//hgvXrxQSGvEiBFYtWoVhEIhJk2apLauDx8+5DgTyjh9+jR69OgBLy8vrF27lp1LmJaWhgULFijV601Q83QtkUgEAArpVz+qUs79+/dx/fp1CAQCpXHL5wB369YNaWlp+O677zB8+HC8fPkSbdq0QVRUFEJCQtTSp7i4uFZ9LCws6pzDKL/XzMyME66lpaWQrlAohJubW61xVacuB2rw4MFISkpCVFQU+vXrp1QnLS0tmJiYcMIZhoGZmRmrsxxlp6GJRCJOfd2/fx/p6en11ktDUNbepFIpxGKxQviTJ0/Y36mpqRg0aBAGDhyIr7/+GmZmZtDS0sKqVauUzrFt2bIlPv30Uxw8eBDjxo1TWt91IZ/zZ2VlVadcaGgojh49iujoaHz00UfQ1dUFwzAIDAx8423wdWxZWVzK5q5bWFhw0pJTXzu7f/8+AGDq1KmYOnWq0jRr2tHrtl1l27kpw9nZmTOPvzY0NGr/lmZra4vx48fj+++/x1dffaVwXd26UdYGRCIR+xwCXpVpSUkJ+4yqCb811puBd1R53nkuXLiAc+fOISUlBWFhYWx4zQVXckpLSzFs2DC0bt0a9+/fx6hRoxQWfNSHiYkJZ3GAMnbu3AmBQICMjAxOB5eWlqZWWm8LZV+ljI2NIZFIlDoa8utyevfujd69e+Ply5c4efIk4uPjERoaCltbW3Tt2lVlPeQPw3v37ilcu3v3LifN2u4tKiqCpaUlG15RUaHwIC8sLISdnZ1KOuXl5cHLy0vpNYZhsHjxYvj5+WHNmjVKdaqoqMDDhw85zioRoaioiP0arQ7GxsZwdXXFggULlF6XOy9vk61bt8LOzg67du3i2FLNxSZy1q1bh4MHD6Jz5874/vvv8Y9//ANdunRROT15WdbVDv/8809kZGQgJiYGM2bM4Oj06NEjldNqKK9jy8riqi0eAGrFVV1+5syZSl+wgFfHiKpD9fzWfIFQJ78tWrRQyamNiYlBbGxsrddnz56NDRs2YNasWWjTpk2tutZE3bqRI19klpmZqfQ6fyTrm4F3VHneeeQPRfnbvZzVq1crlR87dixu3bqF06dP48qVKxgwYAC+/fZbTJkyReU0AwICMGfOHOTm5ioMl1fXS0tLi/M17sWLF9iyZYuCbM0vZurwOvfWR3BwMBYuXAgjIyOVnTqRSARPT0/o6+vjyJEj+OWXX9RyVLt27QqJRIKtW7eyq6mBVw5Jbm4uBgwYUOu9cmdy27ZtnOH63bt3K6yGlw/9q0J9D+zu3bvDz88Pc+fOhbW1Neear68vEhISsHXrVo6N7du3D6WlpfD19VVJh+oEBwfj0KFDaNGiBQwMDNS+/03AMAyEQiHHSS0qKlL6Evjvf/8bkyZNwvDhw7F27Vq4u7vjH//4B3755ReV8+Pu7g49PT0kJydj8ODBSl+0GIYBESn0DevWrVPY4aO2kQZVqO3e17Hlmvj6+iI+Ph4///wzOnTowIZv3rwZDMPA29tbLZ0dHBzQqlUrnDt3DgsXLlTr3tqQ94Vbt27lvICdOXMGly9fRlRUFBtWV7+Vnp5e6wtOdep7IZPvyhEVFaWwS0lj1o2c4OBg7Ny5E5WVlWq9dPG8HryjyvPO4+joiBYtWmDGjBkgIhgaGiI9PV3psNq6deuwdetWbNy4EW3atEGbNm0wceJETJ8+HR4eHgrzv2pj8uTJ2LVrF3r37o0ZM2agc+fOePHiBfLz8xEcHAxvb28EBQVhyZIlCA0NxejRo1FcXIykpCSFhyYAuLi4YOfOndi1axfs7e0hFovh4uKiki6vc68q+dy3bx+6deuGKVOmwNXVFVVVVbh16xaysrIQGRmJLl26YM6cObhz5w58fX1hZWWFkpISLFu2DAKBAJ6enmqlqa+vj+joaMyaNQvDhw9HSEgIiouLERcXB7FYjJiYmFrvdXJywtChQ7F06VIIBAJ0794dFy5cQFJSEnR1dTmyQqEQnTp1alC5KGPx4sXo2LEjHjx4wPl64+fnB39/f0yfPh1PnjyBh4cHzp8/j5iYGLRv3x7Dhg1TO625c+ciOzsb7u7umDRpEhwcHFBWVobCwkIcOnQIycnJ7Bet8PBwbNq0CTdu3FB527OGEBwcjNTUVIwfPx4DBgzA7du3MW/ePJibm+PatWusXGlpKQYNGgQ7OzusXLkSQqEQu3fvRocOHRAREaHyiIO2tja++eYbjBo1Ct27d8fnn3+OZs2a4fr16zh37hy+//576Orqolu3bkhMTISxsTFsbW2Rn5+P9evXQ19fnxOf/DSxNWvWQEdHB2KxGHZ2dkqnYtSkrnsbass1mTJlCjZv3oygoCDMnTsXNjY2OHjwIFauXIlx48ahdevWKsclZ/Xq1QgICIC/vz/Cw8NhaWmJR48e4fLly/j555+xZ88eteJzcHDA6NGjsXz5cmhoaCAgIACFhYWIjo6GtbU150XNxcUFqampWLVqFTp27AgNDQ22PTZW/wW86sNWrFiBw4cPc8Jfp5+pjcGDB2Pbtm0IDAzEl19+ic6dO0MgEODOnTvIy8tD79690bdvXwCvtjWLiIjAxo0bG+XEvA+aplzJxfPhAIAmTJjACau5ilOOfPX4nj172LBLly6Rn58f6ejokIGBAQ0cOJBu3brFWRl6/vx5kkgkClsUlZWVUceOHcnW1pYeP36sss6PHz+mL7/8kpo3b04CgYBMTU0pKCiIrly5wsps2LCBHBwcSCQSkb29PcXHx9P69esJAN24cYOVKywspB49epCOjg67VZeq1HavsnIi+l+5Vt9+puZK9eo8e/aMZs+eTQ4ODiQUCklPT49cXFxoypQpVFRUREREGRkZFBAQQJaWliQUCsnU1JQCAwPp+PHjbDzq6EP0aushV1dXNs3evXsrrGZXtj3Vy5cvKTIykkxNTUksFtPHH39MBQUFZGNjo1D3DaH6qv+ahIaGEgCFsnzx4gVNnz6dbGxsSCAQkLm5OY0bN07B3mxsbCgoKEghXk9PT4WdHR4+fEiTJk0iOzs7EggEZGhoSB07dqSoqCjO7hn9+/cniURSr20r276H6NWKZ5lMplSnmvlctGgR2drakkgkIicnJ1q7dq1CHQ0dOpSkUqlCXcpXzn/77bd16lmTQ4cOkaenJ8lkMpJKpeTs7EyLFy9mr9+5c4f69+9PBgYGpKOjQz179qQLFy4otYelS5eSnZ0daWpqKrXJuqjrXlVsWRVu3rxJoaGhZGRkRAKBgBwcHCgxMbHWbZpqghor5YmIzp07R4MGDSJTU1MSCARkZmZGPj4+lJyczMrUZvPyNl19t4PKykpavHgxtW7dmgQCARkbG9PQoUPp9u3bnHsfPXpEAwYMIH19fWIYRqEdq0td+V6zZg27U0BN+1albmprA8r6n/LyckpKSqJ27dqRWCwmbW1tcnR0pDFjxtC1a9dYueXLlxMAyszMfJ1s8xARQ6TCjGYeHh4enncSMzMzDBs2DImJiU2tCg8Pz/8zaNAg3LhxQ+XpRzy1ww/98/Dw8LynXLx4Ec+fP1fp9CweHp63AxHh2LFj2Lp1a1Or8reA/6LK80FBRPUeo6qpqdlox/3VRWVlZZ1btDAMo9a+kzw87wvviu2/jf7gXepzeHjeR/gN/3k+KPLz8yEQCOr827Rp01vRpUWLFnXq0ZDV4jw87wO+vr512n6LFi3eih6bNm2qtz94ncMVgHerz+HheR/hv6jyfFA8ffpU4TSWmqi6Evh1+fe//13nFi06Ojpq73PIw/M+cPXqVTx9+rTW6yKRqFFXhtdGcXExbty4UaeMg4PDa+2P+S71OTw87yO8o8rDw8PDw8PDw/NOwg/987zTHDt2jHPmvDqkpKSAYRgUFhayYdu3b8fSpUsbTb+G8q7oURfysmcYBgUFBQrXw8PDoa2t3QSa8cgJDw9/o3unAq9O8YmNjcWvv/6qNP03aQOFhYWsDe7cuVPhemxsLBiG4Y+ufAso608/ZOTlIRaLlZ6y5eXlxe6/y/N68I4qzwfFu+Igvit6qMq0adOaWgWeJuLu3buIi4tT6qi+TaKiolBeXt6kOvDw1OTly5eYPXt2U6vxt4Z3VHl4eOqkZ8+e+PHHH5Gent7UqvB8oAQEBOC///0vkpOTm1oVHh4OPXv2xPbt23Hu3LmmVuVvC++o/k1hGAYTJ07Exo0b4eDgAIlEgk6dOuHkyZMgIiQmJsLOzg7a2trw8fHB9evXOfdnZ2ejd+/esLKyglgsRsuWLTFmzBjOEFtZWRnat2+Pli1b4s8//2TDi4qKYGZmBi8vr3q3ZanOlStX0LNnT0ilUhgbG2Ps2LG1LrjIycmBr68vdHV1IZVK4eHhgaNHj9YZv5eXFw4ePIibN2+yw4nVt4SJi4tDly5dYGhoCF1dXXTo0AHr16+vcxsdZTx8+BCjR4+GtbU1RCIRTExM4OHhgZycHJX0+OuvvzB//nw4Ojqy90dERODhw4ecdGxtbREcHIz9+/fD1dUVYrEY9vb2+O6779TStz7Cw8Ph7OyMmTNn1lufVVVVSEhIYHU3NTXF8OHDcefOHY6cfFjszJkz+PTTTyGVSmFvb49FixahqqqKI/vkyRNMnToVdnZ2EAqFsLS0xOTJkxXO9lYV+ZBdbm4uPv/8cxgZGUFXVxfDhw9HaWkpioqKMGjQIOjr68Pc3BxTp05V+JKniq38+OOPEAgEmDp1qtL0169fr7beDg4OEIlEcHJywubNm5XKNab9HDt2jD3TPSIigrXV2NhYTlzXr19HYGAgtLW1YW1tjcjISJXOclcVHx8f+Pv7Y968eXUuwpKzYcMGtGvXDmKxGIaGhujbty8uX77MkZFPW1BFd1XLVFXk02q2b9+O6dOnw9zcHNra2ujVqxfu37+Pp0+fYvTo0TA2NoaxsTEiIiLw7NkzThwrVqxAt27dYGpqCplMBhcXFyQkJHBs9dq1a9DV1eWcdQ8Aubm50NTURHR0dIP0r44qffH169cRERGBVq1aQSqVwtLSEr169cK///1vVubhw4cQCoVKdbpy5QoYhuHYZlFREcaMGQMrKysIhULY2dkhLi4OFRUVnHtXrVqFdu3aQVtbGzo6OnB0dMSsWbNeO99ypk2bBiMjI5X2Mi4rK8PMmTM5fdmECRNQUlLCkZO3zczMTHTo0AESiQSOjo7YsGGDQpyqlsN7zVs/C4vnrYD/P2rT3d2dUlNTaf/+/dS6dWsyNDSkKVOmUO/evSkjI4O2bdtGzZo1I1dXV6qqqmLvX7VqFcXHx9OBAwcoPz+fNm3aRO3atSMHBwf666+/WLnffvuNdHR0qF+/fkT06ng9Hx8fMjU1pbt376qsb1FREZmampKlpSVt3LiRDh06REOGDKHmzZsrHOG3ZcsWYhiG+vTpQ6mpqZSenk7BwcGkqalJOTk5rJz8WED5UaYXL14kDw8PMjMzo4KCAvZPTnh4OK1fv56ys7MpOzub5s2bRxKJhOLi4tQqe39/fzIxMaE1a9bQsWPHKC0tjebMmUM7d+6sV4/Kykrq2bMnyWQyiouLo+zsbFq3bh1ZWlqSs7MzPX/+nE3HxsaGLC0tqXnz5rRhwwa2zKDkmMHy8nKV/qrbQPUjUX/44QcCQOvXr2evKzt2cPTo0QSAJk6cSJmZmZScnEwmJiZkbW3NOdrQ09OTjIyMqFWrVpScnEzZ2dk0fvx4AkCbNm1i5UpLS8nNzY2MjY1pyZIllJOTQ8uWLSM9PT3y8fHh6Ksqcruws7OjyMhIysrKosWLF5OmpiaFhIRQhw4daP78+ZSdnU3Tp08nAPTNN99w4lDVVhYtWkQA6IcffiAiogsXLpBUKqWhQ4c2SOfevXtTeno6bd26lVq2bEnW1tac43gb237+/PNPNu3Zs2eztio/LjMsLIyEQiE5OTlRUlIS5eTk0Jw5c4hhGIWyqKioUMkGazsu9NdffyWGYSg6Opq9ruxY2IULFxIACgkJoYMHD9LmzZvJ3t6e9PT06LfffmPlVNVdnTJVFXnbsrGxofDwcLataGtrk7e3N/n5+dHUqVM5tvnFF19w4pgyZQqtWrWKMjMzKTc3l7799lsyNjamiIgIjtzOnTsJAC1btoyIiO7du0fNmjUjT09PqqioUFnnmv0pkep9cX5+PkVGRtLevXspPz+f9u/fT3369CGJRMI5krpv375kbW3NsQEiomnTppFQKKQ//viDzYPc9levXk05OTk0b948EolEFB4ezt63Y8cOAkBffPEFZWVlUU5ODiUnJ9OkSZM48Tekf6x+7OyyZcsIAB09epS9XvMI4qqqKvL39yctLS2Kjo6mrKwsSkpKIplMRu3bt6eysjJW1sbGhqysrMjZ2Zk2b95MR44coYEDBxIAys/PZ+VULYf3Hd5R/ZsCgMzMzDhngqelpREAcnNz4zS4pUuXEgA6f/680riqqqqovLycbt68yXnoytm1axcBoKVLl9KcOXNIQ0ODsrKy1NJ3+vTpxDAM/frrr5xwPz8/jqNaWlpKhoaG1KtXL45cZWUltWvXjjp37syGKetYg4KCOA/22qisrKTy8nKaO3cuGRkZqeUQaWtr0+TJk+uUqU0Pece6b98+TviZM2cIAK1cuZINs7GxqbXMdHV1qbS0lA3D/5+DXd9f9fPLqzuqRESffPIJWVlZ0YsXL4hI0VG9fPkyAaDx48dz9Dl16hQBoFmzZrFhnp6eBIBOnTrFkXV2diZ/f3/2d3x8PGloaCicQb53714CQIcOHVIow/qQ20XNB3+fPn0IAC1ZsoQT7ubmRh06dKg1vrpspaqqigIDA0lfX58uXLhAzs7O5OjoyGmX9VFZWUkWFhbUoUMHTtyFhYUkEAg4dvQm7Ed+b3XbkBMWFkYAaPfu3ZzwwMBAcnBw4ITZ2NioZIPVz6qveb77kCFDSCaT0b1794hI0VF9/PgxSSQSCgwM5KR969YtEolEFBoaqrbu6pSpqsjbVs1+bPLkyQRAwZHq06cPGRoa1hqf3AY3b95Mmpqa9OjRI871cePGkVAopIKCggZ9SCBS7E/V6YtrUlFRQX/99Re1atWKpkyZwoYfOHCAAHCeHxUVFWRhYUH9+/dnw8aMGUPa2tp08+ZNTrxJSUkEgC5evEhERBMnTiR9ff068yW3MVX+qn8wqe6ovnz5kuzt7alTp05sG63pqGZmZhIASkhI4KQvf36uWbOGDbOxsSGxWMzJ34sXL8jQ0JDGjBmjdjm87/BD/39jvL29IZPJ2N9OTk4AXs33qj7ULA+vvnLxwYMHGDt2LKytraGlpQWBQAAbGxsAUBhCGzRoEMaNG4evv/4a8+fPx6xZs+Dn56eWrnl5eWjTpg3atWvHCQ8NDeX8PnHiBB49eoSwsDBUVFSwf1VVVejZsyfOnDnT4CHh3NxcdO/eHXp6etDU1IRAIMCcOXNQXFyMBw8eqBxP586dkZKSgvnz5+PkyZNqLQDJyMiAvr4+evXqxcmfm5sbzMzMFHY/qK3Mnjx5gp9//pkNO3PmjEp/vXr1qlW3xYsX486dO1i2bJnS63l5eQBeDanWLA8nJyeF4UAzMzN07tyZE+bq6sqxw4yMDLRt2xZubm6c8vD392/wbhBygoODOb/l7SAoKEghvOaqXlVthWEYbN68GTo6OujUqRNu3LiB3bt3c9plfVy9ehV3795FaGgop93a2NjA3d2dI/um7KcuGIZRsJua9QgA6enpKtng6NGja01r/vz5KC8vR1xcnNLrBQUFePHihYINWltbw8fHR8EGVdFd3TJVB3Vs8NGjR5zh/19++QWfffYZjIyMWBscPnw4Kisr8dtvv3Hu//bbb9GmTRt4e3uzR3uam5s3WG9Avb64oqICCxcuhLOzM4RCIbS0tCAUCnHt2jXO8yQgIABmZmbYuHEjG3bkyBHcvXsXI0aMYMMyMjLg7e0NCwsLTtoBAQEAwB7S0LlzZ5SUlCAkJAQ//PCD0t0hLCwsVO4fO3bsqLQshEIh5s+fj7Nnz2L37t1KZXJzcwEo9o8DBw6ETCZTsE03Nzc0b96c/S0Wi9G6dWsF21SlHN53tJpaAZ43h6GhIee3UCisM7ysrAzAq3mGPXr0wN27dxEdHQ0XFxfIZDJUVVXh448/xosXLxTSGjFiBFatWgWhUIhJkyaprWtxcTHs7OwUws3MzDi/79+/DwAYMGBArXE9evRILUcAAE6fPo0ePXrAy8sLa9euZef7pKWlYcGCBUrzXBu7du3C/PnzsW7dOkRHR0NbWxt9+/ZFQkKCQn5qcv/+fZSUlLB1UpOaHa2y+ORhxcXFbJibm5tKutd1bKW7uzv69OmDRYsWKXUm5OkpewBaWFgoOC7KNjgXiUScsr5//z6uX78OgUCgVKfX2ZZInfYhbxuA+rZiZGSEzz77DCtWrEDfvn3V3sheXq611XX17YLelP3UhVQqhVgs5oSJRCJOmQGAs7OzSvO9NTRq/35ia2uL8ePH4/vvv8dXX32lcL0+G8zOzlZbd3XLVB0a0kdra2vj1q1b+PTTT+Hg4IBly5bB1tYWYrEYp0+fxoQJExRsUCQSITQ0FF9//TU6dOig9ocEZajTF3/11VdYsWIFpk+fDk9PTxgYGEBDQwOjRo3i6KqlpYVhw4Zh+fLlKCkpgb6+PlJSUmBubg5/f39O2unp6fX2C8OGDUNFRQXWrl2L/v37o6qqCh999BHmz5/PloFQKGyU/nHw4MFISkpCVFQU+vXrp3C9uLgYWlpaMDEx4YQzDAMzMzOF9qZq/6hKObzv8I4qjwIXLlzAuXPnkJKSgrCwMDa85oIrOaWlpRg2bBhat26N+/fvY9SoUfjhhx/UStPIyAhFRUUK4TXDjI2NAQDLly/Hxx9/rDSuZs2aqZU2AOzcuRMCgQAZGRmcB1daWpracRkbG2Pp0qVYunQpbt26hQMHDmDGjBl48OABMjMz673XyMioVrmaJ+TUVWbVO7raOrKabNy4UeGNvzrx8fFo27YtFi5cqHBNnt69e/dgZWXFuXb37l227tTB2NgYEolE6SIC+fW3jbq2kp2djVWrVqFz587Yv38/9u3bh/79+6ucnrxcVW0fb8J+GoMWLVoo3W+yJjExMQqLtaoze/ZsbNiwAbNmzUKbNm0416rbYE1exwbVKdO3QVpaGkpLS5GamsqOdAGodQuxCxcuYM6cOfjoo49w5swZLFmyRKmjrw7q9MVbt27F8OHDFfqNP/74A/r6+pywiIgIJCYmYufOnfjHP/6BAwcOYPLkyRwn0djYGK6urliwYIHSdC0sLDjxRUREoLS0FP/85z8RExOD4OBg/Pbbb7CxsUFhYaHSjyTKyMvLg5eXl9JrDMNg8eLF8PPzw5o1axSuGxkZoaKiAg8fPuQ4q0SEoqIidtGiOqhTDu8zvKPKo4B8eFEkEnHCV69erVR+7NixuHXrFk6fPo0rV65gwIAB+PbbbzFlyhSV0/T29kZCQgLOnTvHGYrcvn07R87DwwP6+vq4dOkSJk6cqHL8cmq+kcphGAZaWlqczvDFixfYsmWL2mlUp3nz5pg4cSKOHj2Kn376qV49goODsXPnTlRWVqJLly71xn/x4kWlZaajo4MOHTqwYWfOnFFJ3/o6bEdHR4wYMQLLly9XGHb28fEB8OqhVL3TPXPmDC5fvoyoqCiVdKhOcHAwFi5cCCMjI5UfJm8adWzl3r17GDp0KDw9PZGdnY1+/fph5MiR6NChg8r5cXBwgLm5OXbs2IGvvvqKbZ83b97EiRMnOA+jN2E/8n5AnVEFZaSnp6u0E0B9D1f5CuuoqCiFaT5du3aFRCLB1q1bOSvd79y5g9zc3Dq//tWGumX6NlDWRxMR1q5dqyBbWlqKgQMHwtbWFnl5eZgxYwZmzJgBDw+P18qPOn0xwzAKz5ODBw/i999/R8uWLTnhTk5O6NKlCzZu3IjKykq8fPkSERERHJng4GAcOnQILVq0gIGBgUr6ymQyBAQE4K+//kKfPn1w8eJF2NjYsEP/qlDfkdbdu3eHn58f5s6dC2tra841X19fJCQkYOvWrZxn4759+1BaWgpfX1+VdKhOQ8rhfYR3VHkUcHR0RIsWLTBjxgwQEQwNDZGenq4wbAYA69atw9atW7Fx40a0adMGbdq0wcSJEzF9+nR4eHgozEGsjcmTJ2PDhg0ICgrC/Pnz0axZM2zbtg1XrlzhyGlra2P58uUICwvDo0ePMGDAAJiamuLhw4c4d+4cHj58iFWrVtWajouLC1JTU7Fq1Sp07NgRGhoa6NSpE4KCgrBkyRKEhoZi9OjRKC4uRlJSkkLnWh9//vknvL29ERoaCkdHR+jo6ODMmTPIzMzkDAfVpsfgwYOxbds2BAYG4ssvv0Tnzp0hEAhw584d5OXloXfv3ujbty8bj4WFBT777DPExsbC3NwcW7duRXZ2NhYvXgypVMrKderUSa181EVsbCy2bduGvLw8zhQLBwcHjB49GsuXL4eGhgYCAgJQWFiI6OhoWFtbq/XiImfy5MnYt28funXrhilTpsDV1RVVVVW4desWsrKyEBkZyT5sY2NjERcXV+dXj8ZAVVuprKxESEgIuw2RpqYmUlJS4Obmhn/84x/48ccfax1Oro6GhgbmzZuHUaNGoW/fvvj8889RUlKC2NhYhaH7N2E/LVq0gEQiwbZt2+Dk5ARtbW1YWFio/bVG3SkPdTF58mSsWLEChw8f5oTr6+sjOjoas2bNwvDhwxESEoLi4mLExcVBLBYjJiZG7bTUKdOUlBRERETUOzLxuvj5+UEoFCIkJATTpk1DWVkZVq1ahcePHyvIVv+QIJPJ8M0336CgoACDBw/GL7/8ovBFU1XU6YuDg4ORkpICR0dHuLq64l//+hcSExMVRl7kjBgxAmPGjMHdu3fh7u6u4CDOnTsX2dnZcHd3x6RJk+Dg4ICysjIUFhbi0KFDSE5OhpWVFT7//HNIJBJ4eHjA3NwcRUVFiI+Ph56eHvsyLRQKG7V/XLx4MTp27IgHDx5wvvj7+fnB398f06dPx5MnT+Dh4YHz588jJiYG7du3x7Bhw9ROS9VyAF7Njd20aRNu3Ljxxk+za3Sadi0Xz5sCAE2YMIETVnMFrZyaq7uJiC5dukR+fn6ko6NDBgYGNHDgQLp16xZnVe758+dJIpFQWFgYJ76ysjLq2LEj2dra0uPHj1XWWZ6mWCwmQ0NDGjlyJLstUvXVlkSvtjsJCgoiQ0NDEggEZGlpSUFBQZw8KFv1/+jRIxowYADp6+sTwzBUvQls2LCBHBwcSCQSkb29PcXHx9P69esV4qiLsrIyGjt2LLm6upKuri5JJBJycHCgmJgYzir8uvQoLy+npKQkateuHYnFYtLW1iZHR0caM2YMXbt2jZWzsbGhoKAg2rt3L7Vp04aEQiHZ2toqrFpvKMrsQs6sWbMIgML2VJWVlbR48WJq3bo1CQQCMjY2pqFDh7LbGcmpuSJWTlhYmMJuCM+ePaPZs2eTg4MDCYVC0tPTIxcXF5oyZQoVFRWxcpGRkcQwDF2+fLnOfFVfrVsdZVsdyXWqmU9VbCUqKoo0NDQ4W9YQEZ04cYK0tLToyy+/rFPPmqxbt45atWpFQqGQWrduTRs2bFBaXm/Cfnbs2EGOjo4kEAg4fYCysiH6X1m+LrX1WUREa9asYVdj16yzdevWkaurK2svvXv3VlgBrY7uqpbp8uXLCQBlZmbWma/a2pY6tpmens7qY2lpSV9//TUdPnyY01+uXbtW6Y4N169fJ11dXerTp0+deirTrWZfqEpf/PjxYxo5ciSZmpqSVCqlTz75hI4fP06enp7k6empkNaff/5JEomEANDatWuV6vPw4UOaNGkS2dnZkUAgIENDQ+rYsSNFRUWxu2ps2rSJvL29qVmzZiQUCsnCwoIGDRpU6w436lBbXRERhYaGEgCFPu7Fixc0ffp0srGxIYFAQObm5jRu3DiF56S8bdZEWXmpUg5ERP379yeJRKLWM/ldgSFSczdzHh6edwJbW1u0bdsWGRkZTa3KO0Hnzp1hY2ODPXv2NLUq7wW8/TQ+gwYNwo0bN1QeSubheVuYmZlh2LBhSExMbGpV1IYf+ufh4XnvefLkCc6dO4dNmzY1tSo8HyhExG79xMPzLnHx4kU8f/5cpdOz3kV4R5XnjUJE9R67qampydkf8l2lqqpK4XjPmmhp8U2qKdDV1W3UIzvfFrxN/X1gGEat/ZbfFXgb/PvTpk0bPHnypKnVaDD8hv88b5T8/HwIBII6/96Xr2Bz586tNy/V97R80xQWFvLDtu85I0aMqNem3hS8/fAA716/xsNTE36OKs8b5enTp7h69WqdMnZ2do2+Z+Ob4O7du7h7926dMq6uriqt5ObhAV45i/Vtyt2YK5J5eGrC92s87zq8o8rDw8PDw8PDw/NOwg/98/Dw8PDw8PDwvJPwjup7QHh4eJNv0MswjEonQaWkpIBhGM6cJnX0ZximzuMT3zaFhYVgGAYpKSkNul/Vcjtx4gRiY2NRUlLSoHSUYWtrC4ZhMHbsWIVrx44dA8Mw2Lt3b6Ol977wptqTMtvn+bBYuHBhg45d5lHOoUOH3ujzwMvLq8GHg7xp3ZQh77cZhkFBQYHC9fDwcGhra79Vnd4GvKP6HhAdHY39+/c3tRoqERQUhIKCApibmze1Ko2Cubk5CgoKEBQU9EbTOXHiBOLi4hrVUZWzfv36eucJf0i8qfb0d7N9HvXhHdXG5dChQ4iLi3tj8a9cuRIrV65s0L1vWrf6mDZtWpOl/bbh95x4D2jRokVTq6AyJiYmMDExaWo1Gg2RSISPP/64qdVoMF27dsWlS5cwa9Ys7Nu3r6nVeSd4U+3p72b7PDzvE0SEsrIySCQSle9xdnZ+gxq9OXr27InMzEykp6ejV69eTa3OG4f/ovoWkA//bty4EQ4ODpBIJOjUqRNOnjwJIkJiYiLs7Oygra0NHx8fXL9+nXO/sqFKeZxbtmyBk5MTpFIp2rVr16DtZl6+fIm5c+fCyckJYrEYRkZG8Pb2xokTJxRk60tP1eHPJ0+e4PPPP4eRkRG0tbXRs2dP/Pbbb2rr/tFHHyl87XRxcQHDMJzTYVJTU8EwDP7973+zYdeuXUNoaChMTU0hEong5OSEFStWcOKqbej/hx9+gKurK0QiEezt7bFs2TLExsbWuh9sXeUWGxuLr7/+GsCrHRDkQzvHjh1TuzxqYmhoiBkzZiA1NRUnT56sV/7HH3+Er68vdHR0IJVK4e7ujoMHD3Jk5HWcl5eHcePGwdjYGEZGRujXr5/S1cO7du1C165dIZPJoK2tDX9/f/zyyy8NztObaE979uxBly5doKenB6lUCnt7e4wYMYK9XlVVhfnz57Pp6evrw9XVFcuWLVMol+q27+XlhbZt2+LMmTP49NNP2bgXLVqksHflxYsX0aNHD0ilUpiYmGDChAk4ePBgo9mCra0tgoODkZmZiQ4dOkAikcDR0REbNmzgyD18+BDjx4+Hs7MztLW1YWpqCh8fHxw/fpwjJ28bSUlJWLJkCVvmXbt2VcnWauN16xcANmzYgHbt2kEsFsPQ0BB9+/bF5cuXOTLyYdLr168jMDAQ2trasLa2RmRkpMKevI8ePcL48eNhaWkJoVAIe3t7REVFceQYhkFpaSk2bdrEtuHqw8oXLlxA7969YWBgALFYDDc3N4Wt+eRDuzt27EBUVBQsLCygq6uL7t27Kx0VycnJga+vL3R1dSGVSuHh4YGjR4+qXeaqPAPKysowc+ZM2NnZQSgUwtLSEhMmTFAYBVLVzp4/f46pU6fCzs6OradOnTphx44dAF7Vj7w/lpdn9fYlt5Pk5GQ4OTlBJBKx5RkXF4cuXbrA0NAQurq66NChA9avX4+aa8drDv2ratP16VZff/K6hIeHw9nZGTNnzqx3n/KqqiokJCTA0dERIpEIpqamGD58OO7cucORU6evevLkCVt3cluYPHkySktLGy2PHJrk4NYPDABkY2ND7u7ulJqaSvv376fWrVuToaEhTZkyhXr37k0ZGRm0bds2atasGbm6ulJVVRV7v7LzvAGQra0tde7cmXbv3k2HDh0iLy8v0tLSov/85z8q61ZeXk7e3t6kpaVFU6dOpUOHDtGBAwdo1qxZtGPHDrXTU3YedE39q6qqyNvbm0QiES1YsICysrIoJiaG7O3tOeeIq8KMGTNIW1ub/vrrLyIiKioqIgAkkUhowYIFrNy4ceOoWbNm7O+LFy+yZ8Zv3ryZsrKyKDIykjQ0NCg2NpaVk581Xv2s7MOHD5OGhgZ5eXnR/v37ac+ePdSlSxeytbVVOCNclXK7ffs2ffHFFwSAUlNTqaCggAoKCujPP/8kIqLKykoqLy+v96+iooKTtvy86OfPn5OlpSV9+umn7DVlZ40fO3aMBAIBdezYkXbt2kVpaWnUo0cPYhiGdu7cycrJ69je3p6++OILOnLkCK1bt44MDAzI29ubo8OCBQuIYRgaMWIEZWRkUGpqKnXt2pVkMpnC2euq0tjt6cSJE8QwDA0ePJgOHTpEubm5tHHjRho2bBgrEx8fT5qamhQTE0NHjx6lzMxMWrp0KcdWlNm+p6cnGRkZUatWrSg5OZmys7Np/PjxBIA2bdrEyt29e5eMjIyoefPmlJKSQocOHaJhw4axNiU/u53o9ezBysqKnJ2dafPmzXTkyBEaOHAgAaD8/HxW7sqVKzRu3DjauXMnHTt2jDIyMmjkyJGkoaHB0UPeNmxtbalnz56UlpZGaWlp5OLiQgYGBlRSUtKQ6n3t+l24cCEBoJCQEDp48CBt3ryZ7O3tSU9Pj3777TdWLiwsjIRCITk5OVFSUhLl5OTQnDlziGEYiouLY+VevHhBrq6uJJPJKCkpibKysig6Opq0tLQoMDCQlSsoKCCJREKBgYFsG5bb+JUrV0hHR4datGhBmzdvpoMHD1JISAgBoMWLF7NxyNulra0tDRkyhA4ePEg7duyg5s2bU6tWrTh1umXLFmIYhvr06UOpqamUnp5OwcHBpKmpSTk5OSqXtyrPgKqqKvL39yctLS2Kjo6mrKwsSkpKIplMRu3bt6eysjI2PlXtbMyYMSSVSmnJkiWUl5dHGRkZtGjRIlq+fDkREV2/fp0GDBhAANjyLCgoYNMCQJaWluTq6krbt2+n3NxcunDhAhERhYeH0/r16yk7O5uys7Np3rx5JJFIOPVK9Kp9enp6sr9Vtem6dFOlP5GXuyp/1W27er/9ww8/EABav349ez0sLIxkMhknndGjRxMAmjhxImVmZlJycjKZmJiQtbU1PXz4kFMWqvRVpaWl5ObmRsbGxrRkyRLKycmhZcuWkZ6eHvn4+HD0bSx4R/UtAIDMzMzo2bNnbFhaWhoBIDc3N07FLl26lADQ+fPn2bDaHNVmzZrRkydP2LCioiLS0NCg+Ph4lXXbvHkzAaC1a9fWmwdV0lPFUT18+DABoGXLlnHSWLBggdqOak5ODgGgf/7zn0REtHXrVtLR0aHx48dznKZWrVpRaGgo+9vf35+srKxYZ1DOxIkTSSwW06NHj4hIuaP60UcfkbW1Nb18+ZINe/r0KRkZGSl1VFUpt8TERIVykxMWFkYA6v2r3uES/c9RJSJau3YtAaD09HQiUu6ofvzxx2RqakpPnz5lwyoqKqht27ZkZWXF2qm8jsePH89JLyEhgQDQvXv3iIjo1q1bpKWlRV988QVH7unTp2RmZkaDBg1SyKsqNHZ7SkpKIgB1OlbBwcHk5uZWp161OaoA6NSpUxxZZ2dn8vf3Z39//fXXxDCMgvPu7++v4KjGxMSoZA81+wwbGxsSi8V08+ZNNuzFixdkaGhIY8aMqTVfFRUVVF5eTr6+vtS3b182XN42XFxcOA7U6dOnCQDnRVcdXqd+Hz9+zDqL1bl16xaJRCJOHyBvV7t37+bIBgYGkoODA/s7OTlZqdzixYsJAGVlZbFhMpmMwsLCFPI0ePBgEolEdOvWLU54QEAASaVS1vbk7bKm/rt372adIqJXzoKhoSH16tWLI1dZWUnt2rWjzp07K+hQG6o8AzIzMwkAJSQkcMJ37dpFAGjNmjVsmKp21rZtW+rTp0+duk2YMEGhT5UDgPT09Ni+ujbkL3Zz584lIyMjjv3U5qiqYtO16aZKfyLXX5W/6s+emv32J598QlZWVvTixQsiUnRUL1++rLSvPnXqFAGgWbNmccpClb4qPj6eNDQ06MyZMxy5vXv3EgA6dOhQnfluCPzQ/1vC29sbMpmM/e3k5AQACAgI4AwXy8Nv3rypUpw6Ojrs72bNmsHU1FSle+UcPnwYYrFYpWGJxkgPAPLy8gAAQ4YM4YSHhoaqFQ8AeHh4QCwWIycnBwCQnZ0NLy8v9OzZEydOnMDz589x+/ZtXLt2Dd27dwfwagjr6NGj6Nu3L6RSKSoqKti/wMBAlJWV1Tp0WVpairNnz6JPnz6cDbC1tbVrnSv0uuUWGxuLM2fO1Pu3evXqWuOIiIiAs7MzZsyYofS4xNLSUpw6dQoDBgzgrBrV1NTEsGHDcOfOHYWhx88++4zz29XVFcD/bPfIkSOoqKjA8OHDOWUsFovh6en5WsPZjdmePvroIwDAoEGDsHv3bvz+++8KMp07d8a5c+cwfvx4HDlyRK3jCM3MzNC5c2dOmKurK0en/Px8tG3bVmHOXEhIiEJ8o0ePVske0tPTFe51c3ND8+bN2d9isRitW7dWKJ/k5GR06NABYrEYWlpaEAgEOHr0qMLwOfBqEZmmpiYnb4BqfVhtNLR+CwoK8OLFC4SHh3Pis7a2ho+Pj8KwOMMwCu22Zt3k5uZCJpNhwIABHDl5GqoMtefm5sLX1xfW1tYKcTx//lxhBXd9bevEiRN49OgRwsLCOG2rqqoKPXv2xJkzZ1QehlXlGZCbm8vqW52BAwdCJpMplIEqdta5c2ccPnwYM2bMwLFjx/DixQuV9K2Oj48PDAwMlOrbvXt36OnpQVNTEwKBAHPmzEFxcbFKx9y+jk2r0p8AUKkNnzlzps45qIsXL8adO3c4U5CqI3/W1qy3zp07w8nJSaHeVOmrMjIy0LZtW7i5uXFsz9/fv9GmKdWEX0z1ljA0NOT8ljs5tYWXlZXVG6ey05xEIpFaDf7hw4ewsLCAhkb97yyNkR4AFBcXQ0tLSyE+MzMzteIBXnWAHh4eyMnJQVxcHI4ePYpp06bBy8sLlZWVOH78ONtRyB3V4uJiVFRUYPny5Vi+fLnSeGs7Lejx48cgIjRr1kzhmrIw4PXLrXnz5rCysqpXrrb5scArh3PhwoXo06cPNm3aBDs7O851eb6UrVi3sLAA8KrcqlMzXyKRCADYfN2/fx/A/zrumqhic7XRmO2pW7duSEtLw3fffYfhw4fj5cuXaNOmDaKiolhHcebMmZDJZNi6dSuSk5OhqamJbt26YfHixfWeHKVK/RcXFyvUCaDcpszMzGBqalpnmoBye1BFlyVLliAyMhJjx47FvHnzYGxsDE1NTURHRyt1VOuzg4bQ0PqV22htdpydnc0Jk0qlEIvFnDCRSMSxl+LiYpiZmSmUp6mpKbS0tBTahTKKi4vfSNuq6TxX59GjRxxnvzZUeQbI++yaiwUZhoGZmVm9+svzUN0mvvvuO1hZWWHXrl1YvHgxxGIx/P39kZiYiFatWtWrN6C8nk+fPo0ePXrAy8sLa9euhZWVFYRCIdLS0rBgwQKV7PJ1bFqV/gR45cyrQnWHuSbu7u7o06cPFi1ahNGjRytcr6891HS8Vam3+/fv4/r167Ue71zfSXsNgXdUP3BMTEzw448/oqqq6rUcB3UwMjJCRUUFiouLOQ2jqKioQfH5+vpizpw5OH36NO7cuQM/Pz/o6Ojgo48+QnZ2Nu7evYvWrVuzXzMMDAzYL4UTJkxQGqcyp0F+L8Mw7IOiOg3Vvz5GjBihsOhCGfV9pezduzc8PDwQExODNWvWcK4ZGBhAQ0MD9+7dU7hPvkDK2NhYLb3l8nv37oWNjY1a975tevfujd69e+Ply5c4efIk4uPjERoaCltbW3Tt2hVaWlr46quv8NVXX6GkpAQ5OTmYNWsW/P39cfv2bUil0tdK38jISGWbmjt3rkrb4tjY2DRoT9etW7fCy8sLq1at4oQ/ffpU7bjeNvL+pDY7VteG5XGeOnUKRMRxVh88eICKigqV4jQyMnojbWv58uW17kpS24tzTVR5Bsj77IcPH3KcVSJCUVFRrS+jdSGTyRAXF4e4uDjcv3+f/braq1cvXLlyRaU4lL2M7dy5EwKBABkZGZyXkLe5bVh9/QmAWh29mmzcuFHhi2h14uPj0bZtWyxcuFDhWvX2UPNjR0Pbg7GxMSQSicLiuOrXGxveUf3ACQgIwI4dO5CSktKoqxLrwtvbGwkJCdi2bRsmTZrEhm/fvr1B8XXv3h2zZs1CdHQ0rKys4OjoyIYfOHAARUVF6N+/PysvlUrh7e2NX375Re0zrGUyGTp16oS0tDQkJSWx9z579qxBOy7IqeuNPTY2VqVDA6pPL6iNxYsX45NPPsF3333HCZfJZOjSpQtSU1ORlJTEbvFSVVWFrVu3wsrKCq1bt1YlKyz+/v7Q0tLCf/7zH075v8uIRCJ4enpCX18fR44cwS+//MI+WOTo6+tjwIAB+P333zF58mQUFha+9jY3np6eSEpKwqVLlzhx7dy5U0F29OjRCA4OVikvDYFhGIV7z58/j4KCAoWh63eNrl27QiKRYOvWrRg4cCAbfufOHeTm5tb5BbI2fH19sXv3bqSlpaFv375s+ObNm9nrcmobKfH19cX+/ftx9+5d9iuqPA6pVKr2FngeHh7Q19fHpUuXVOob6kKVZ4Cvry8SEhKwdetWTJkyhQ3ft28fSktLOWXQEJo1a4bw8HCcO3cOS5cuxfPnzyGVSjn9oqrbTjEMAy0tLc6XyBcvXmDLli2vpWNNVNGtrv6k+q40dVHbRxM5jo6OGDFiBJYvXw53d3fONR8fHwCvXj6rv0ycOXMGly9fRlRUlEo6VCc4OBgLFy6EkZFRvbo1Fryj+oETEhKCjRs3YuzYsbh69Sq8vb1RVVWFU6dOwcnJCYMHD270NHv06IFu3bph2rRpKC0tRadOnfDTTz81uCPp2LEjDAwMkJWVhYiICDa8e/fumDdvHvt/dZYtW4ZPPvkEn376KcaNGwdbW1s8ffoU169fR3p6OjsnSxlz585FUFAQ/P398eWXX6KyshKJiYnQ1tbGo0ePGpQHFxcXVq+wsDAIBAI4ODhAR0cHtra2jXaSkoeHB3r37o0ffvhB4Vp8fDz8/Pzg7e2NqVOnQigUYuXKlbhw4QJ27NhR59QCZdja2mLu3LmIiorCf//7X/Ts2RMGBga4f/8+Tp8+zX5RAV5tC2NnZ4ewsLAGnwLWUObMmYM7d+7A19cXVlZWKCkpwbJlyyAQCODp6QkA6NWrF9q2bYtOnTrBxMQEN2/exNKlS2FjY6PyMGVdTJ48GRs2bEBAQADmzp2LZs2aYfv27eyXpepfuiwsLDjOTmMTHByMefPmISYmBp6enrh69Srmzp0LOzs7VFRUNCjOt1W/+vr6iI6OxqxZszB8+HCEhISguLgYcXFxEIvFiImJUTvO4cOHY8WKFQgLC0NhYSFcXFzw448/YuHChQgMDOT0LS4uLjh27BjS09Nhbm4OHR0dODg4ICYmBhkZGfD29sacOXNgaGiIbdu24eDBg0hISICenp5aOmlra2P58uUICwvDo0ePMGDAAJiamuLhw4c4d+4cHj58qPBFvDZUeQb4+fnB398f06dPx5MnT+Dh4YHz588jJiYG7du3x7Bhw9TSHwC6dOmC4OBguLq6wsDAAJcvX8aWLVvQtWtXdoRC3i8uXrwYAQEB0NTUrPfjQlBQEJYsWYLQ0FCMHj0axcXFSEpKavCLW23Uptv8+fPr7U8A1DtlSB1iY2Oxbds25OXlcaZ7ODg4YPTo0Vi+fDk0NDQQEBCAwsJCREdHw9ramvPSoSqTJ0/Gvn370K1bN0yZMgWurq6oqqrCrVu3kJWVhcjISHTp0oXVKy4uDnl5eQ0+AQzgHdUPHi0tLRw6dAjx8fHYsWMHli5dCh0dHbRr1w49e/Z8I2lqaGjgwIED+Oqrr5CQkIC//voLHh4eOHToEPs1VN34vLy8sH//fs5DQ75354sXL+Dt7c25x9nZGT///DPmzZuH2bNn48GDB9DX10erVq0QGBhYZ3o9e/bEvn37MGfOHPzjH/+AmZkZxo8fj7t37zbY2fby8sLMmTOxadMmrF27FlVVVa/duGsjPj4eGRkZCvvveXp6Ijc3FzExMQgPD0dVVRXatWuHAwcOqPQFTxkzZ86Es7Mzli1bhh07duDly5cwMzPDRx99xDna9dmzZwCUz6V603Tp0gVnz57F9OnT8fDhQ+jr66NTp07Izc1FmzZtALwaBdi3bx/WrVuHJ0+ewMzMDH5+foiOjlZ5CK8uLCwskJ+fj8mTJ2Ps2LGQSqXo27cv5s6di7CwMOjr6792GqoSFRWF58+fY/369UhISICzszOSk5Oxf//+Bi+UeJv1O3PmTJiamuK7777Drl27IJFI4OXlhYULFzbopUIsFiMvLw9RUVFITEzEw4cPYWlpialTpyo4vsuWLcOECRMwePBgPH/+nJ2O4+DggBMnTmDWrFmYMGECXrx4AScnp3qHdeti6NChaN68ORISEjBmzBg8ffoUpqamcHNzUytOVZ4BDMMgLS0NsbGx2LhxIxYsWABjY2MMGzYMCxcubJAT6OPjgwMHDuDbb7/F8+fPYWlpieHDh3O+8oWGhuKnn37CypUrMXfuXBARbty4UeeLu4+PDzZs2IDFixejV69esLS0xOeffw5TU1OMHDlSbT1rozbdVOlPGhsLCwtMnjxZ6fD/qlWr0KJFC6xfvx4rVqyAnp4eevbsifj4eKVzUutDJpPh+PHjWLRoEdasWYMbN25AIpGgefPm6N69O6dunj17xs5jfh0Yoho74PLw8KhNeXk53NzcYGlpiaysrKZW571j5cqVmDZtGv7zn/+oPLfuQ2D06NHYsWMHiouL1Zqi8q7B1y8Pz4dH586dYWNjgz179rxWPPwXVR6eBjBy5Ej4+fnB3NwcRUVFSE5OxuXLl2vdJoSnbvLy8jBp0qQP2omZO3cuLCwsYG9vz855XrduHWbPnv1eO6kAX788PB8aT548wblz51RaCFwf/BfVvzH1zSfT0NB4ayv9G8K7rP+gQYNw4sQJPHz4EAKBAB06dMCsWbPe2HQJnr8/8fHxSElJwZ07d1BRUYFWrVph1KhR+PLLL9WeH8zDA7zbfSgPj6rwjurfFPnihbqIiYlBbGzs21FITd53/Xl4eHiaEr4P5fm7wDuqf1P++usvnD9/vk6ZN716+HV43/Xn4eHhaUr4PpTn7wLvqPLw8PDw8PDw8LyT8JNTeN45CgsLwTAMZ7/FEydOIDY2FiUlJQryXl5eb2Qbp4ULF76x00zu3r2L2NhY/Prrr28k/rcNwzBgGAaLFi1SuJaSkgKGYXD27Nkm0OzvR122Exsb22TzWS9duoTY2NgGnYbV1PD2WzfK+mRVeVfKj6/j9xfeUeV5Lzhx4gTi4uKUOqorV67EypUrGz3NN+2oxsXF/W0cVTmLFi1q8KEHPKpRl+2MGjUKBQUFb18pvHJU4+Li3ktHVQ5vv8oxNzdHQUEBgoKCmlqV14av4/cP3lHlee9xdnZ+7SMsX5cXL17gQ59F0717d5SWlmLBggVNrcoHi5WVldrHcb7rPH/+/K2kw9tv7YhEInz88ccwMTFpalVeC76O3094R5VHZRiGwcSJE7Fx40Y4ODhAIpGgU6dOOHnyJIgIiYmJsLOzg7a2Nnx8fHD9+nXO/ba2tkpPTKlv6D42NhZff/01gFfnHsuHcOSn5DRk6P+XX35BcHAwTE1NIRKJYGFhgaCgINy5c4fNa2lpKTZt2sSmJ09DPkyUlZWFESNGwMTEBFKpFC9fvsT169cRERGBVq1aQSqVwtLSEr169cK///1vNu1jx46x5y5HRESw8VdffXv27Fl89tlnMDQ0hFgsRvv27bF7926FfPz444/o2rUrxGIxLC0tER0djXXr1oFhGPbL1siRI2FoaKj0ge/j49Nop6U4ODhg5MiRWLFiBW7evFmv/IEDB9jjEnV0dODn56fwNVA+lH3x4kWEhIRAT08PzZo1w4gRI/Dnn39yZIkIK1euhJubGyQSCQwMDDBgwAD897//bVB+5MOdSUlJWLJkCWvbXbt2xcmTJ9WO78mTJ5g6dSrs7OwgFAphaWmJyZMno7S0lCO3Z88edOnSBXp6epBKpbC3t2fPYK/PdpQN/dva2iI4OBgZGRlo3749JBIJnJyckJGRAeCVPTs5OUEmk6Fz584Kw59nz57F4MGDYWtrC4lEAltbW4SEhHDqOCUlBQMHDgTw6hQvuV7Vh4o3bNiAdu3aQSwWw9DQEH379sXly5c5aYWHh0NbWxv//ve/0aNHD+jo6LDnyNfXZl8X3n7rj6vm0P+PP/4IX19f6OjoQCqVwt3dHQcPHlQax+PHjxEREQFDQ0PIZDL06tVLIW98HfMohXh4VAQA2djYkLu7O6WmptL+/fupdevWZGhoSFOmTKHevXtTRkYGbdu2jZo1a0aurq5UVVXF3m9jY0NhYWEK8Xp6epKnpyf7+8aNGwSANm7cSEREt2/fpi+++IIAUGpqKhUUFFBBQQH9+eefSu+vj2fPnpGRkRF16tSJdu/eTfn5+bRr1y4aO3YsXbp0iYiICgoKSCKRUGBgIJvexYsXiYho48aNBIAs0diaLgAAiaFJREFULS1p9OjRdPjwYdq7dy9VVFRQfn4+RUZG0t69eyk/P5/2799Pffr0IYlEQleuXCEioj///JONY/bs2Wz8t2/fJiKi3NxcEgqF9Omnn9KuXbsoMzOTwsPDOWVCRHTu3DkSi8Xk6upKO3fupAMHDlBgYCDZ2toSALpx4wYrB4DWrl3LKYeLFy8SAFqxYgUbVlFRQeXl5fX+VVZWcuICQBMmTKB79+6RVCqlYcOGsdfkeT1z5gwbtm3bNgJAPXr0oLS0NNq1axd17NiRhEIhHT9+nJWLiYkhAOTg4EBz5syh7OxsWrJkCYlEIoqIiODo8Pnnn5NAIKDIyEjKzMyk7du3k6OjIzVr1oyKiopUtg85cju0tbWlnj17UlpaGqWlpZGLiwsZGBhQSUmJynGVlpaSm5sbGRsb05IlSygnJ4eWLVtGenp65OPjw7aTEydOEMMwNHjwYDp06BDl5ubSxo0b2fKsz3bk5VUdGxsbsrKyorZt29KOHTvo0KFD1KVLFxIIBDRnzhzy8PDgtOdmzZrR8+fP2fv37NlDc+bMof3791N+fj7t3LmTPD09ycTEhB4+fEhERA8ePKCFCxey9iTX68GDB0RE7LWQkBA6ePAgbd68mezt7UlPT49+++03Nq2wsDASCARka2tL8fHxdPToUTpy5IhKbZaIt9/qNKb91uyTiYiOHTtGAoGAOnbsSLt27aK0tDTq0aMHMQxDO3fuVCg/a2trGjFiBB0+fJjWrFlDpqamZG1tTY8fPyYi1fplIr6OP0R4R5VHZQCQmZkZPXv2jA1LS0sjAOTm5sZxSpcuXUoA6Pz582xYQx1VIqLExESO81XX/fVx9uxZAkBpaWl1yslkMqX6yju14cOH15tWRUUF/fXXX9SqVSuaMmUKG37mzBmFPMpxdHSk9u3bU3l5OSc8ODiYzM3N2Q544MCBJJPJWGeBiKiyspKcnZ0VysrT05Pc3Nw48Y0bN450dXXp6dOnHDkA9f7VLBf5Q4CIKCoqijQ0NOjcuXOc8pI/BCorK8nCwoJcXFw4D5OnT5+Sqakpubu7s2Hyh0BCQgInvfHjx5NYLGZtrqCggADQN998w5G7ffs2SSQSmjZtmkI514fcDl1cXKiiooINP336NAGgHTt2qBxXfHw8aWhocB6ERER79+4lAHTo0CEiIkpKSiIAdToRddlObY6qRCKhO3fusGG//vorASBzc3MqLS1lw+Xt+cCBA7WmX1FRQc+ePSOZTEbLli1jw/fs2UMAKC8vjyP/+PFj9qWvOrdu3SKRSEShoaFsWFhYGAGgDRs2cGRVbbO8/f6PxrRfZX3yxx9/TKamppz+o6Kigtq2bUtWVlZs3uTl17dvX06cP/30EwGg+fPnExFfxw2p4w8F/ghVHrXw9vaGTCZjfzs5OQEAAgICOEOO8vCbN2/CxcXl7SpZDy1btoSBgQGmT5+Oe/fuoVu3bg2a49q/f3+FsIqKCiQkJGDr1q24fv06ysvL2Ws1hzmVcf36dVy5cgVJSUlsfHICAwORkZGBq1evwsnJCfn5+fDx8YGxsTEro6GhgUGDBils4v3ll1+iX79++Omnn+Dh4YEnT55gy5YtiIiIgLa2Niu3evVqPH36tF49q6dZk2nTpmH16tWYPn06Dh8+rHD96tWruHv3LiZPnsw5FUdbWxv9+/fH6tWr8fz5c0ilUvbaZ599xonD1dUVZWVlePDgAZo1a4aMjAwwDIOhQ4dyyszMzAzt2rVjp4k0hKCgIGhqanLSBqDS0KGcjIwMtG3bFm5ubhz9/P392WksAQEB7LD+oEGDMHLkSHh4eMDS0rLBustxc3PjxCNvn15eXpxyrt5u5Tx79gzz5s3Dvn37UFhYiMrKSvaaKjZdUFCAFy9eKEz7sba2ho+PD44ePapwT822pWqb5e1Xkcaw35qUlpbi1KlTGDduHKf/0NTUxLBhwzB9+nRcvXoVjo6O7LUhQ4Zw4nB3d4eNjQ3y8vIQFRXF1/Fr1PHfHd5R5VELQ0NDzm/5GeS1hZeVlb0dxdRAT08P+fn5WLBgAWbNmoXHjx/D3Nwcn3/+OWbPng2BQKBSPObm5gphX331FVasWIHp06fD09MTBgYG0NDQwKhRo/DixYt647x//z4AYOrUqZg6dapSmT/++AMAUFxcrPTsdGVhvXv3hq2tLVasWAEPDw+kpKSgtLQUEyZM4Mi1bNlSpUVhdR27qKuri9mzZ2Py5MnIy8tTuF5cXAxAeflZWFigqqoKjx8/5jwEjIyMOHIikQgA2DK9f/8+iKjWs+Tt7e3ryVHt1Je2Kty/fx/Xr1+v1bbkddqtWzekpaXhu+++w/Dhw/Hy5Uu0adMGUVFRCAkJaWAOXq/dhoaG4ujRo4iOjsZHH30EXV1dMAyDwMBAlcqgvvrOzs7mhEmlUujq6nLCVG2zvP0q0hj2W5PHjx+DiGotA+B/5STHzMxMQdbMzIyV4+u44XX8d4d3VHneGmKxGC9fvlQI/+OPP+p8+30TuLi4YOfOnSAinD9/HikpKZg7dy4kEglmzJihUhzK9qvcunUrhg8fjoULF3LC//jjD+jr69cbp7wcZs6ciX79+imVcXBwAPCqY5Q7ttUpKipSCNPQ0MCECRMwa9YsfPPNN1i5ciV8fX3ZuOT4+voiPz+/Xj3DwsLq3FNx3LhxWLZsGaZPn45x48Zxrsk79Hv37incd/fuXWhoaMDAwKBeHapjbGwMhmFw/Phx9gFRHWVhbxNjY2NIJBJs2LCh1utyevfujd69e+Ply5c4efIk4uPjERoaCltbW3Tt2vVtqQwA+PPPP5GRkYGYmBhOu3j58qXKW/zUV981235t+8Cq0mZ5+307yF/AaysDQPGLprJ+qaioCC1btmR/83XMowzeUeV5a9ja2ioc6ffbb7/h6tWr9TqqjfEVQBkMw6Bdu3b49ttvkZKSgp9//pmTprrpMQyj0OEcPHgQv//+O6dDri0/Dg4OaNWqFc6dO6fg7NbE09MThw4d4jj6VVVV2LNnj1L5UaNGITY2FkOGDMHVq1exePFiBZnGGFYDXn2Zmz9/PoYMGaIg6+DgAEtLS2zfvh1Tp05lHZPS0lLs27ePXWWrDsHBwVi0aBF+//13DBo0SK173wbBwcFYuHAhjIyM6j1/XY5IJIKnpyf09fVx5MgR/PLLL+jatesbawvKYBgGRKRg0+vWreNMAZDrq0yvrl27QiKRYOvWrezOAABw584d5ObmYsCAAWrrVFub5e337SCTydClSxekpqYiKSkJEokEwKv+Z+vWrbCyskLr1q0592zbto0zpePEiRO4efMmRo0apRA/X8c81eEdVZ63xrBhwzB06FCMHz8e/fv3x82bN5GQkKDS3nzyea7Lli1DWFgYBAIBHBwcoKOjo7YeGRkZWLlyJfr06QN7e3sQEVJTU1FSUgI/Pz9OmseOHUN6ejrMzc2ho6Oj8AWyJsHBwUhJSYGjoyNcXV3xr3/9C4mJibCysuLItWjRAhKJBNu2bYOTkxO0tbXZc7dXr16NgIAA+Pv7Izw8HJaWlnj06BEuX76Mn3/+mXVEo6KikJ6eDl9fX0RFRUEikSA5OZnd7qjm0Je+vj6GDx+OVatWwcbGBr169VLQv778qUNISAiSkpIU5oBpaGggISEBQ4YMQXBwMMaMGYOXL18iMTERJSUlSk+OqQ8PDw+MHj0aEREROHv2LLp16waZTIZ79+7hxx9/hIuLC/vV5NixY/D29kZMTIzCXN43xeTJk7Fv3z5069YNU6ZMgaurK6qqqnDr1i1kZWUhMjISXbp0wZw5c3Dnzh34+vrCysoKJSUlWLZsGQQCATw9PQHUbTuNja6uLrp164bExEQYGxvD1tYW+fn5WL9+vcIIQdu2bQEAa9asgY6ODsRiMezs7GBkZITo6GjMmjULw4cPR0hICIqLixEXFwexWIyYmJh69VC1zfL2+/aIj4+Hn58fvL29MXXqVAiFQqxcuRIXLlzAjh07FL6Mnz17FqNGjcLAgQNx+/ZtREVFwdLSEuPHjwfA1/G7WMfvDE2xgovn/QTVVk3Kka8GTUxM5ITn5eURANqzZw8bVlVVRQkJCWRvb09isZg6depEubm5Kq36JyKaOXMmWVhYkIaGBmd1sbqr/q9cuUIhISHUokULkkgkpKenR507d6aUlBSO3K+//koeHh4klUoJAJuGsq1M5Dx+/JhGjhxJpqamJJVK6ZNPPqHjx48r1XHHjh3k6OhIAoGAAFBMTAx77dy5czRo0CAyNTUlgUBAZmZm5OPjQ8nJyZw4jh8/Tl26dCGRSERmZmb09ddf0+LFi2tdOX7s2DECQIsWLVK5vFRBmW0QEWVlZbGrcGuWV1paGnXp0oXEYjHJZDLy9fWln376iSMjX1FbfWcDov/VQc1dIDZs2EBdunQhmUxGEomEWrRoQcOHD6ezZ8+yMunp6QRAoSxrUptty/Nbvb5U4dmzZzR79mxycHAgoVBIenp65OLiQlOmTGG3psnIyKCAgACytLQkoVBIpqamFBgYyNkOh6h226lt1X9QUJDSPKjSnu/cuUP9+/cnAwMD0tHRoZ49e9KFCxeU7uKxdOlSsrOzI01NTYU2vG7dOnJ1dWXz3rt3b3bLNzlhYWEkk8kUdFW1zTYU3n7rRh5XzfI+fvw4+fj4sPp+/PHHlJ6erjSvWVlZNGzYMNLX12d3gbh27Rorx9ex+nX8ocAQfeDH6fDw/M3o0aMHCgsL8dtvvylci4yMxKpVq3D79m2Fyf8fCtOmTcOOHTtw7do1iMXiplaHh0ctmsJ+z507Bzc3N6SnpyM4OPitpPkhw/dRXPihfx6e95ivvvoK7du3h7W1NR49eoRt27YhOzsb69ev58idPHkSv/32G1auXIkxY8Z8sE4qAOTl5SE6Opp/APC8l7xt+83Ly8O6desgFArRoUOHt5Lmhw7fR3Hhv6jy/K2orKysc+sShmE4ewq+73z55Zc4cOAAioqKwDAMnJ2dMXnyZAwdOpQjxzAMpFIpAgMDsXHjRs7ehzwNh4gUFhXVRFNTs9aV7Dw8TYkq9isSiWBvb4+4uDiEhoa+Jc14eP4H76jy/K3w8vKqc+sSGxsbFBYWvj2FeP7WyBc91MXGjRsVNrvn4XkX4O2X532Ad1R5/lZcvXq1zq1LRCLRO3dSFs/7y9OnT3H16tU6ZeQr33l43jV4++V5H+AdVR4eHh4eHh4enneS2s8Y4+Hh4eHh4eHh4WlCeEeVh+cD4dixY2AYBseOHWPDYmNjG7zQpyH3njhxArGxsSgpKWlQmk2Nra0tGIbB2LFjFa7Jy3fv3r1NoNn7T0pKChiGeW/nkF+6dAmxsbGvpX9Tto/w8HAwDIM2bdooXWDFMAwmTpz41vVqSsrLy9GiRQssXbq0qVX5oOEdVR4enrfGiRMnEBcX9946qnLWr19f79w+ng+LS5cuIS4u7rUd1aZuH5cuXUJKSkqTpf8uIRAIMGfOHMydOxfFxcVNrc4HC++o8vC8pzx//rypVXjjvI3z7NWla9eukMlkmDVrVlOr8sYgoney7HneLDKZDJ9++iliYmL4+v9/QkJCwDAMVq9e3dSqfLDwjirPO418uGnLli1wcnKCVCpFu3btkJGRwZELDw+Hra2twv3KhqflcW7cuBEODg6QSCTo1KkTTp48CSJCYmIi7OzsoK2tDR8fH1y/fl0tneVDmNnZ2YiIiIChoSFkMhl69eqF//73vxzZ7Oxs9O7dG1ZWVhCLxWjZsiXGjBmDP/74Q2k+fv75ZwwYMAAGBgZo0aIFgFdnaA8ePBi2traQSCSwtbVFSEgIbt68qZbe1dm1axfrkGlra8Pf3x+//PJLg+OT5+Hrr78G8GolMcMwnKkItra2CA4ORmpqKtq3bw+xWIy4uDgAQFFREcaMGQMrKysIhULY2dkhLi4OFRUVnDT++usvzJ8/H46OjhCJRDAxMUFERAQePnz4WrpXx9DQEDNmzEBqaipOnjxZr/yPP/4IX19f6OjoQCqVwt3dHQcPHuTIyG0mLy8P48aNg7GxMYyMjNCvXz/cvXtXIc7Grh95m0hOToaTkxNEIhE2bdoEAIiLi0OXLl1gaGgIXV1ddOjQAevXr1fYr1hef5mZmejQoQMkEgkcHR2xYcMGhfROnjwJDw8PiMViWFhYYObMmSgvL1eQq6qqQkJCAlufpqamGD58OO7cucOR8/LyQtu2bVFQUAB3d3e2HWzcuBEAcPDgQXTo0AFSqRQuLi7IzMxUu4xWrVqFdu3aQVtbGzo6OnB0dGRfVlJSUjBw4EAAgLe3N2vb8i+TqrTz+toH8GbaZU0WL16M33//HcuWLatX9tatWxg6dChMTU0hEong5OSEb775BlVVVaxMYWEhGIZBUlISlixZwvatXbt2Vdp+zp49i88++wyGhoYQi8Vo3749du/e3ah5VAehUIh//OMfWLNmTZ17dPO8Qd76oa08PGoAgGxtbalz5860e/duOnToEHl5eZGWlhb95z//YeXCwsLIxsZG4X5lZ58DIBsbG3J3d6fU1FTav38/tW7dmgwNDWnKlCnUu3dvysjIoG3btlGzZs3I1dWVqqqqVNZZfsaztbU1jRgxgg4fPkxr1qwhU1NTsra2psePH7Oyq1atovj4eDpw4ADl5+fTpk2bqF27duTg4EB//fWXQj5sbGxo+vTplJ2dTWlpaUREtGfPHpozZw7t37+f8vPzaefOneTp6UkmJiac86fz8vIIAOXl5dVZPgsWLCCGYWjEiBGUkZFBqamp1LVrV5LJZJyz2ZXdWxe3b9+mL774ggBQamoqFRQUUEFBAf35559E9OpMenNzc7K3t6cNGzZQXl4enT59mu7du0fW1tZkY2NDq1evppycHJo3bx6JRCIKDw9n46+srKSePXuSTCajuLg4ys7OpnXr1pGlpSU5OzvT8+fPObLl5eX1/lVUVHDyYGNjQ0FBQfT8+XOytLSkTz/9VKF89+zZw4YdO3aMBAIBdezYkXbt2kVpaWnUo0cPYhiGdu7cycrJbcbe3p6++OILOnLkCK1bt44MDAzI29u7QfWjDgDI0tKSXF1dafv27ZSbm0sXLlwgIqLw8HBav349ZWdnU3Z2Ns2bN48kEgnFxcUplI2VlRU5OzvT5s2b6ciRIzRw4EACQPn5+azcxYsXSSqVkrOzM+3YsYN++OEH8vf3p+bNmyucjT569GgCQBMnTqTMzExKTk4mExMTsra25ti2p6cnGRkZkYODA61fv56OHDlCwcHBBIDi4uLIxcWFduzYQYcOHaKPP/6YRCIR/f777yqXz44dOwgAffHFF5SVlUU5OTmUnJxMkyZNIiKiBw8e0MKFCwkArVixgrXtBw8eEJFq7by+9qFqvVdVValk2+Xl5Zw8hoWFkUwmIyKivn37kv7/tXfncVHU/x/AX8tyg4IccigCaioKHkD6A/JKBe+zPErFvMI0BTKP8MSDMu8MzVuz0krzilQ88/p6IHgkeYKYLiGYoKIgy/z+2Nhcd0FQ2Bng9Xw89iHzmc/MvneYdd585vP5jLW1kJGRoXGOjB49Wr2clpYm1KhRQ7C3txdWrFgh7NmzRxgzZowAQBg1apS6XlJSkvr/8Y4dOwrbt28Xtm/fLnh5eQnVqlUTHjx4oK578OBBwdjYWGjZsqWwZcsWYc+ePcKQIUMEAMK6deuK/fsqbVu2bBEACBcuXBAthsqMiSpJGgDBwcFByMrKUpelpqYKBgYGQlRUlLqspImqo6Oj8OjRI3XZ9u3bBQBC06ZNNZLSxYsXl/g/qIKko1evXhrlx48fFwAIs2fP1rldwQXm1q1bAgBhx44dWp9j2rRpL33/vLw84dGjR4KFhYWwZMkSdXlxEtWUlBTB0NBQ+PjjjzX2+fDhQ8HR0VHo27dvodsWx5dffqmVjBRwdXUV5HK5cOXKFY3yDz/8ULC0tBRu3bqlUT5//nwBgPoiXZBMbN26VaPemTNnBABCdHS0uiw4OFgA8NJX69attWLs0qWLIAiCsGrVKgGAsGvXLkEQdCeq//d//ydUr15dePjwobosLy9P8PT0FGrWrKk+1wrOmY8++kjj/ebNmycAEBQKhSAIJfv9lAQAwcrKSrh//36R9QoS/MjISMHW1lbju+Lq6iqYmppq/J6ePHki2NjYCB9++KG6rF+/foKZmZmQmpqqLsvLyxMaNGigcW4kJibqPCanTp0SAAifffaZuqx169YCAOHs2bPqsoyMDEEulwtmZmYaSWlCQoIAQFi6dGkxj44gjBkzRrC2ti6yzk8//aT1/dKlqO95Yd+PkvzeC86l4rye93yi+ueffwpyuVz45JNP1OtfTFQnTZokABBOnTqlsZ9Ro0YJMplM/T0uSFS9vLw0/vA7ffq0AED44Ycf1GUNGjQQmjVrppVEd+3aVXBychKUSmXhB7YMXbt2TQAgLF++XJT3r+x4658kr23btqhSpYp62cHBAdWrV3+tW9tt27aFhYWFetnDwwMA0KlTJ42uAgXlr/Je77//vsayv78/XF1dcejQIXVZWloaQkJC4OLiAkNDQxgZGcHV1RUAkJiYqLXPPn36aJU9evQIEydORN26dWFoaAhDQ0NYWlri8ePHOvdRlL179yIvLw+DBw9GXl6e+mVqaorWrVtr3IYsC40bN0a9evU0ynbv3o22bdvC2dlZI6ZOnToBgPpJZLt374a1tTW6deumUa9p06ZwdHTUmu3gzJkzL30V1S/tgw8+QMOGDTFp0iSNW50FHj9+jFOnTuGdd97ReGStXC7HoEGD8Ndff2kNyOrevbvW8QD+O//K8vfz9ttvo1q1alrlBw8eRPv27WFlZQW5XK4eYJKRkYG0tDSNuk2bNkWtWrXUy6ampqhXr57G9+fQoUNo164dHBwc1GVyuRz9+vXT2FfB9+TFpyI1b94cHh4eOHDggEa5k5MTfHx81Ms2NjaoXr06mjZtCmdnZ3X5q3ynmzdvjgcPHmDAgAHYsWOHVteclynp9/xFJfm9d+vWrVjn9pkzZwp9v/r162PYsGFYtmwZUlJSdNY5ePAgGjZsiObNm2uUDxkyBIIg4ODBgxrlXbp00Xh89Yvn9vXr1/Hnn3+q/998/nN27twZCoVCtAGM1atXBwDcuXNHlPev7AzFDoDoZXQ9FcXExOS1Ovvb2NhoLBsbGxdZ/vTp0xK/h6Ojo86ygtGj+fn5CAwMxN27dzF16lR4eXnBwsIC+fn5+L//+z+dn8/JyUmr7L333sOBAwcwdepUvPnmm6hatSpkMhk6d+5c4mP0999/AwDefPNNnesNDMr2b1tdn+/vv//Grl27YGRkpHObgqTh77//xoMHD9S/s8LqAUCtWrVQs2bNl8ZT1PRbcrkcc+fORc+ePbFhwwa4u7trrP/nn38gCILOz1SQOL04kvjFc93ExATAf4PKyvL3oyvO06dPIzAwEG3atMGqVavUfYS3b9+OOXPmaJ1fxfmuZmRkFPrdeF7BsSns+L2YaL743QVU39/S+E4PGjQIeXl5WLVqFfr06YP8/Hy8+eabmD17Njp06FDktq/yPX9RSX7vNjY2sLKyKvZnK8yMGTOwadMmTJ06Vd1f+XkZGRk6xwW87rk9fvx4jB8/XmdMJf0DobSYmpoCkObgzsqAiSpVCKampsjJydEqF+s/NkA1AEhXWd26dQEAly5dwvnz57F+/XoEBwer6xQ1eOvFxCkzMxO7d+/G9OnTMWnSJHV5Tk4O7t+/X+KY7ezsAAA///yzusVHn3QlhnZ2dmjcuDHmzJmjc5uCC2PBAKTCBso83yo/dOhQnRffF72slbJHjx4ICAjA9OnTsXLlSo111apVg4GBARQKhdZ2BQOkCo53cZXl70fXsd+8eTOMjIywe/du9cUaALZv3/7K72Nra1vod+PFegCgUCi0/qi4e/duiY/d6/rggw/wwQcf4PHjx/j9998xffp0dO3aFVevXi3yd/Eq3/MXleT3vmHDBnzwwQfF2q9QxOAgJycnhIaG4vPPP8cnn3yitd7W1rZMzu3Jkyejd+/eOuvUr1+/RPssLQX/l+r7nCMVJqpUIbi5uSEtLQ1///23+pZibm4u9u7dK1pM3333ncat+hMnTuDWrVsYPnw4gP8Sg4KWhQIlmQZFJpNBEAStfaxevVrnpN0vExQUBENDQ9y4cUNnN4PX9WIrSnF07doVMTExqFOnjs5b08/X27x5M5RKJVq0aFHkPmfMmFGsycufT24L88UXX+Ctt97C0qVLNcotLCzQokULbNu2DfPnz4eZmRkAVQvbpk2bULNmTa1uDi9T1r+fF8lkMhgaGmrcsn3y5Am+/fbbV95n27ZtsXPnTo3vqlKpxJYtWzTqvf322wCATZs2abQknjlzBomJiYiIiHjlGF6HhYUFOnXqhNzcXPTs2RN//PEHXF1dCz23S/I9L2wfJfm9F9z6Lw0TJ07EypUrNf4ILtCuXTtERUXh3Llz8Pb2Vpdv3LgRMpkMbdu2LdF71a9fH2+88QbOnz+PuXPnvnbspalgtpaGDRuKHEnlxESVKoR+/fph2rRp6N+/Pz799FM8ffoUS5cufaVkrbScPXsWw4cPx7vvvovbt28jIiICNWrUwEcffQQAaNCgAerUqYNJkyZBEATY2Nhg165diI2NLfZ7VK1aFa1atcKXX34JOzs7uLm54ciRI1izZg2sra1LHLObmxsiIyMRERGBmzdvomPHjqhWrRr+/vtvnD59GhYWFuopo16Fl5cXAGDJkiUIDg6GkZER6tevX2RCGBkZidjYWPj7+2Ps2LGoX78+nj59iuTkZMTExGDFihWoWbMm+vfvj++++w6dO3fGuHHj0Lx5cxgZGeGvv/7CoUOH0KNHD/Tq1Uv9OXXdtnwVAQEB6NGjB3bs2KG1LioqCh06dEDbtm0xfvx4GBsbIzo6GpcuXcIPP/xQ4id7leT3k5ycDHd3dwQHB7/yBO5dunTBwoUL8d5772HkyJHIyMjA/PnztZKukpgyZQp27tyJt99+G9OmTYO5uTm+/vprPH78WKNe/fr1MXLkSHz11VcwMDBAp06dkJycjKlTp8LFxQVhYWGvHENJjRgxAmZmZggICICTkxNSU1MRFRUFKysrdRLt6ekJAFi5ciWqVKkCU1NTuLu7l+h7Xtj3oyS/d1tbW51dMF5F1apVERERofNYh4WFYePGjejSpQsiIyPh6uqKX3/9FdHR0Rg1alSJ/wgDVMl7p06dEBQUhCFDhqBGjRq4f/8+EhMTce7cOfz000/qugXf35c9YCEyMhKRkZE4cOAAWrduDUDVr71du3aYNm0apk2bpq5raGiI1q1ba/V//t///ge5XI5WrVqV+DPR6+NgKqoQ3N3dsWPHDjx48ADvvPMOPv30U7z77rsYPHiwaDGtWbMGubm56N+/P8aOHQtfX18cPnxY3WfOyMgIu3btQr169fDhhx9iwIABSEtLw/79+0v0Pt9//z3atm2LCRMmoHfv3jh79ixiY2NfuZ/a5MmT8fPPP+Pq1asIDg5GUFAQJkyYgFu3br32f9Rt2rTB5MmTsWvXLrz11lt48803ERcXV+Q2Tk5OOHv2LAIDA/Hll1+iY8eOGDRoENauXYumTZuqW1nlcjl27tyJzz77DNu2bUOvXr3Qs2dPfP755zA1NVUnAWUhKipKo9WxQOvWrXHw4EFYWFhgyJAh6N+/PzIzM7Fz506twUPFVdzfz6NHjwDo7uNZXG+//TbWrl2Lixcvolu3boiIiMA777yjs4WtuDw9PbF//35UrVoVwcHBGDlyJBo3boypU6dq1V2+fDk+//xzxMTEoGvXroiIiEBgYCBOnDhRaslYcbRs2RKXLl3CuHHj0KFDB4SFhaFevXo4evQo7O3tAaj+D1q8eDHOnz+PNm3a4M0331T3rS7u97yo70dZfi+L8tFHH2n1vwYAe3t7nDhxAm+//TYmT56Mrl27Yu/evZg3bx6++uqrV3qvtm3b4vTp07C2tkZoaCjat2+PUaNGYf/+/Wjfvr1G3cePHxfr3M7Pz4dSqdTo5iAIApRKpdYgSKVSqbNxY/v27ejcufMr/fFPr08mFNVJhYhKbP369fjggw9w5swZ+Pr6ih0OVVLR0dGYMGECbty4oTHCnqi8u3z5Mho1aoTdu3ejS5cuZfpeN27cwBtvvIG9e/e+dOAclQ22qBIRVUCHDh3C2LFjmaRShXPo0CH4+fmVeZIKALNnz0a7du2YpIqIfVSJiqngdlFRdN3+rQzy8/N1ziX6PEND/nejT8/356PCvfgY3hcZGBiU+bRsVDKjR4/G6NGjy/x98vLyUKdOHUyePLnM34sKx28fUTFt2LABRkZGRb6OHDminvC6Mt32j4yMfOmxedmgByJ9S05Oful5GxkZKXaYJBJDQ0NMmTLllQaGUelhH1WiYsrIyEBSUlKRdV42gr2iunv3rnr+xMI0bty40Mn4icSQm5uLCxcuFFnH2dlZ48lWRKRfTFSJiIiISJJ465+IiIiIJImJKhERERFJEhNVIiIiIpIkJqpEREREJElMVImIiIhIkpioEhEREZEkMVElIiIiIkliokpEREREksRElYiIiIgkiYkqEREREUkSE1UiIiIikiQmqkREREQkSUxUiYiIiEiSmKgSERERkSQxUSUiIiIiSWKiSkRERESSxESViIiIiCSJiSoRERERSRITVSIiIiKSJEOxA6hs8vPzcffuXVSpUgUymUzscIiIiKgYBEHAw4cP4ezsDAMDtvPpCxNVPbt79y5cXFzEDoOIiIhewe3bt1GzZk2xw6g0mKjqWZUqVQCoTvSqVauKHA0REREVR1ZWFlxcXNTXcdIPJqp6VnC7v2rVqkxUiYiIyhl229MvdrIgIiIiIkliokpEREREksRElYiIiIgkiX1UiYiInpOfn4/c3FyxwyA9MzIyglwuFzsMegETVSIion/l5uYiKSkJ+fn5YodCIrC2toajoyMHTEkIE1UiIiKoJnRXKBSQy+VwcXHhpO6ViCAIyM7ORlpaGgDAyclJ5IioABNVIiIiAHl5ecjOzoazszPMzc3FDof0zMzMDACQlpaG6tWrsxuARPDPRSIiIgBKpRIAYGxsLHIkJJaCP1CePXsmciRUgIkqERHRc9g/sfLi7156mKgSERERkSQxUSUiIiI1Nzc3LF68uNj1Dx8+DJlMhgcPHpRZTFR5cTAVERFRKVLmCziddB9pD5+iehVTNHe3gdyg7G4pt2nTBk2bNi1RclmUM2fOwMLCotj1/f39oVAoYGVlVSrvX1ZK+ziRfjBRJSIiKiV7Likwc9dlKDKfqsucrEwxvVtDdPQUb8ojQRCgVCphaPjyy769vX2J9m1sbAxHR8dXDY2oSLz1T0REVAr2XFJg1KZzGkkqAKRmPsWoTeew55Ki1N9zyJAhOHLkCJYsWQKZTAaZTIbk5GT17fi9e/fC19cXJiYmOHr0KG7cuIEePXrAwcEBlpaWePPNN7F//36Nfb54618mk2H16tXo1asXzM3N8cYbb2Dnzp3q9S/e+l+/fj2sra2xd+9eeHh4wNLSEh07doRC8d/nz8vLw9ixY2FtbQ1bW1tMnDgRwcHB6NmzZ6Gf9datW+jWrRuqVasGCwsLNGrUCDExMer1ly9fRufOnWFpaQkHBwcMGjQI6enpRR4nkj4mqkRERDoIgoDs3LxivR4+fYbpO/+AoGs///47Y+dlPHz6rFj7EwRde9K2ZMkS+Pn5YcSIEVAoFFAoFHBxcVGvnzBhAqKiopCYmIjGjRvj0aNH6Ny5M/bv34/4+HgEBQWhW7duSElJKfJ9Zs6cib59++LChQvo3Lkz3n//fdy/f7/Q+tnZ2Zg/fz6+/fZb/P7770hJScH48ePV67/44gt89913WLduHY4fP46srCxs3769yBhGjx6NnJwc/P7777h48SK++OILWFpaAgAUCgVat26Npk2b4uzZs9izZw/+/vtv9O3bt1jHiaSLt/6JiIh0ePJMiYbT9pbKvgQAqVlP4TVjX7HqX44Mgrnxyy/RVlZWMDY2hrm5uc7b75GRkejQoYN62dbWFk2aNFEvz549G7/88gt27tyJMWPGFPo+Q4YMwYABAwAAc+fOxVdffYXTp0+jY8eOOus/e/YMK1asQJ06dQAAY8aMQWRkpHr9V199hcmTJ6NXr14AgGXLlmm0juqSkpKCPn36wMvLCwBQu3Zt9brly5fD29sbc+fOVZetXbsWLi4uuHr1KurVq1fkcSLpYosqERFRBeXr66ux/PjxY0yYMAENGzaEtbU1LC0t8eeff760RbVx48bqny0sLFClShX140Z1MTc3VyepgOqRpAX1MzMz8ffff6N58+bq9XK5HD4+PkXGMHbsWMyePRsBAQGYPn06Lly4oF4XFxeHQ4cOwdLSUv1q0KABAODGjRtF7pekjS2qREREOpgZyXE5MqhYdU8n3ceQdWdeWm/9B2+iubtNsd67NLw4ev/TTz/F3r17MX/+fNStWxdmZmZ45513kJubW+R+jIyMNJZlMhny8/NLVP/F7gwvTq7/su4Ow4cPR1BQEH799Vfs27cPUVFRWLBgAT7++GPk5+ejW7du+OKLL7S2c3ISbxAbvT4mqkRERDrIZLJi3X4HgJZv2MPJyhSpmU919lOVAXC0MkXLN+xLfaoqY2Nj9eNfX+bo0aMYMmSI+pb7o0eP9D6oyMrKCg4ODjh9+jRatmwJQPX42vj4eDRt2rTIbV1cXBASEoKQkBBMnjwZq1atwscffwxvb29s3boVbm5uhc5sUJLjRNLBW/9ERESvSW4gw/RuDQGoktLnFSxP79awTOZTdXNzw6lTp5CcnIz09PQiWzrr1q2Lbdu2ISEhAefPn8d7771XZP2y8vHHHyMqKgo7duzAlStXMG7cOPzzzz9FPsI0NDQUe/fuRVJSEs6dO4eDBw/Cw8MDgGqg1f379zFgwACcPn0aN2/exL59+zB06FB1clqS40TSUaET1ejoaLi7u8PU1BQ+Pj44evRooXUVCgXee+891K9fHwYGBggNDS1y35s3b4ZMJityKg0iIqo8Ono6YflAbzhamWqUO1qZYvlA7zKbR3X8+PGQy+Vo2LAh7O3ti+xvumjRIlSrVg3+/v7o1q0bgoKC4O3tXSZxFWXixIkYMGAABg8eDD8/P1haWiIoKAimpqaFbqNUKjF69Gh4eHigY8eOqF+/PqKjowEAzs7OOH78OJRKJYKCguDp6Ylx48bBysoKBgaqVKckx4mkQyYUdw6McmbLli0YNGgQoqOjERAQgG+++QarV6/G5cuXUatWLa36ycnJWLRoEXx8fLBo0SK0bt260KdX3Lp1CwEBAahduzZsbGxeOqXG87KysmBlZYXMzExUrVr1FT8dERGVtqdPnyIpKUndwPGq9P1kqoogPz8fHh4e6Nu3L2bNmiVaHEWdA7x+i6PCtqguXLgQw4YNw/Dhw+Hh4YHFixfDxcUFy5cv11nfzc0NS5YsweDBg4t8DJxSqcT777+PmTNnakyNQUREBKi6AfjVsUWPpjXgV8eWSaoOt27dwqpVq3D16lVcvHgRo0aNQlJSEt577z2xQyOJqZCJam5uLuLi4hAYGKhRHhgYiBMnTrzWviMjI2Fvb49hw4YVq35OTg6ysrI0XkRERJWZgYEB1q9fjzfffBMBAQG4ePEi9u/fr+5zSlSgQo76T09Ph1KphIODg0a5g4MDUlNTX3m/x48fx5o1a5CQkFDsbaKiojBz5sxXfk8iIqKKxsXFBcePHxc7DCoHKmSLagFdc7QVNaKwKA8fPsTAgQOxatUq2NnZFXu7yZMnIzMzU/26ffv2K70/ERERUWVTIVtU7ezsIJfLtVpP09LStFpZi+vGjRtITk5Gt27d1GUFU1sYGhriypUrGk/hKGBiYgITE5NXek8iIiKiyqxCtqgaGxvDx8cHsbGxGuWxsbHw9/d/pX02aNAAFy9eREJCgvrVvXt3tG3bFgkJCXBxcSmN0ImIiIjoXxWyRRUAwsPDMWjQIPj6+sLPzw8rV65ESkoKQkJCAKhuyd+5cwcbN25Ub1PQ9/TRo0e4d+8eEhISYGxsjIYNG8LU1BSenp4a72FtbQ0AWuVERERE9PoqbKLar18/ZGRkIDIyEgqFAp6enoiJiYGrqysA1QT/L07226xZM/XPcXFx+P777+Hq6qr3x8sRERERUQWe8F+qOGEwEZE0ldaE/1R+ccJ/6amQfVSJiIiIqPxjokpERFSOtWnTBqGhoaW6zyFDhqBnz56lus8XJScnQyaTlWhucqp8mKgSERGVthuHgGXNVf8S0StjokpERFSaBAE4MBNIv6L6twyHggwZMgRHjhzBkiVLIJPJIJPJ1AOAL1++jM6dO8PS0hIODg4YNGgQ0tPT1dv+/PPP8PLygpmZGWxtbdG+fXs8fvwYM2bMwIYNG7Bjxw71Pg8fPqzz/QvbR4F169bBw8MDpqamaNCgAaKjo9Xr3N3dAagGMstkMrRp06bUjw+VfxV21D8REdFrEQTgWXbJt7t5GLgbr/r5bjxwJQao3aZk+zAyB4rxJMUlS5bg6tWr8PT0RGRkJADA3t4eCoUCrVu3xogRI7Bw4UI8efIEEydORN++fXHw4EEoFAoMGDAA8+bNQ69evfDw4UMcPXoUgiBg/PjxSExMRFZWFtatWwcAsLGx0XrvovYBAKtWrcL06dOxbNkyNGvWDPHx8RgxYgQsLCwQHByM06dPo3nz5ti/fz8aNWoEY2Pjkh0jqhSYqBIREenyLBuY6/z6+9n8Xsm3+ewuYGzx0mpWVlYwNjaGubk5HB0d1eXLly+Ht7c35s6dqy5bu3YtXFxccPXqVTx69Ah5eXno3bu3etpGLy8vdV0zMzPk5ORo7PNFCoWiyH3MmjULCxYsQO/evQGoWlAvX76Mb775BsHBwbC3twcA2NraFvk+VLkxUSUiIqpg4uLicOjQIVhaWmqtu3HjBgIDA9GuXTt4eXkhKCgIgYGBeOedd1CtWrViv0eTJk0K3ce9e/dw+/ZtDBs2DCNGjFBvk5eXBysrq1L5jFQ5MFElIiLSxchc1bJZXIIArO8MpF4CBOV/5TI54OgJDIkp1u189Xu/hvz8fHTr1g1ffPGF1jonJyfI5XLExsbixIkT2LdvH7766itERETg1KlT6r6jL1PUPszNVfGvWrUKLVq00NqOqLg4mIqIiEgXmUx1+724r9v/AxTnNZNUQLWsOK9aX9x9FTehBWBsbAylUvM9vb298ccff8DNzQ1169bVeFlYWPz78WQICAjAzJkzER8fD2NjY/zyyy+F7lP3IdK9DwcHB9SoUQM3b97Uev+CRLigT2px3ocqL7aoEhERvS5BAA7Ohqr9J19HBQPV+jrtSpSEFoebmxtOnTqF5ORkWFpawsbGBqNHj8aqVaswYMAAfPrpp7Czs8P169exefNmrFq1CmfPnsWBAwcQGBiI6tWr49SpU7h37x48PDzU+9y7dy+uXLkCW1tbWFlZwcjISON9T506VeQ+ZsyYgbFjx6Jq1aro1KkTcnJycPbsWfzzzz8IDw9H9erVYWZmhj179qBmzZowNTVltwDSwhZVejnOB0hEVDRlLpB5B7qTVKjKs+6o6pWy8ePHQy6Xo2HDhrC3t0dKSgqcnZ1x/PhxKJVKBAUFwdPTE+PGjYOVlRUMDAxQtWpV/P777+jcuTPq1auHKVOmYMGCBejUqRMAYMSIEahfvz58fX1hb2+P48ePa73vy/YxfPhwrF69GuvXr4eXlxdat26N9evXq1tUDQ0NsXTpUnzzzTdwdnZGjx49Sv3YUPknE4QynOCNtJS7ZwULArCqrWqKFedmwIhDpd4aQEQkBUU9571YMv8CHqcXvt7CHrCq8eoBUpkr6hwod9fvCoK3/qloNw5ozgd44wBQt724MRERSZFVTdWLiEoNb/1T4dR9rv5tQZXJVctshCciIiI9YKJKhVO3pv6bmArK/1pViYiIiMoYE1XSraA1VaZjvru9U9iqSkRERGWOiSrpVtCa+uJ8gABwLxE4vkT/MRER6QHHGFde/N1LDxNV0qYxH2Ah9k8Hzv+ot5CIiMpawROTcnNLfwopKh+ys7MBQGvOWBIPR/2TtpfOB/ivX0YAWX8Bb4VxyioiKvcMDQ1hbm6Oe/fuwcjICAYGbMupLARBQHZ2NtLS0mBtbc3HvEoI51HVs3IzD1tR8wEKAhC3Hji3XrXsOwzoNA+Q8+8eIirfcnNzkZSUhPz8l/yhThWStbU1HB0dIdPR+FJurt8VDDML0u1l8wHWaAZUbwDsmQycXQNk3QXeWaN6RjURUTllbGyMN954g7f/KyEjIyO2pEoQE1V6df83CqjqDGwbCVz9DdjQDRiwBbC0FzsyIqJXZmBg8GpPpiKiUscOOPR6GvYABu8AzKoBd+KANR2AjBtiR0VEREQVABNVen21/g8YFgtYuwL/JKmS1dtnxI6KiIiIyjkmqlQ67N4Ahu8HnJoC2RnAhq5A4m6xoyIiIqJyjIkqlR7L6sCQX4E3AoG8p8CWgcDpVWJHRUREROWUZBLVK1euYMaMGWjXrh3q1KkDJycnNG7cGMHBwfj++++Rk5MjdohUHCaWQP8fAJ8hAAQgZjywbyrAqV6IiIiohESfRzU+Ph4TJkzA0aNH4e/vj+bNm6NGjRowMzPD/fv3cenSJRw9ehRZWVmYMGECQkNDYWJiImbIr6XSzMMmCMDRBcDBWaplzz5Az+WAYfn93RERUeVVaa7fEiN6ourq6opPP/0U7733HmxsbAqtd/LkSSxatAhNmzbFZ599pscIS1elO9HPbwZ2jAby8wDXt4D+m1QzBBAREZUjle76LRGiJ6q5ubkwNjYus/pSUylP9BuHgC2DgNyHgH0D4P2fAWsXsaMiIiIqtkp5/ZYA0fuoFiSdz549Q9u2bXH16tVi1adypE5bYOhvQBUn4N6fwOr2gOKC2FERERGRxImeqBYwMjLCpUuXdD5flyoARy/V9FX2HsCjVGBdJ+D6AbGjIiIiIgmTTKIKAIMHD8aaNWvEDoPKilVNYOgewK0lkPsI+L4vEP+d2FERERGRRBmKHcDzcnNzsXr1asTGxsLX1xcWFhYa6xcuXChSZFRqzKyBgVuBHWOAiz8COz4CMv8CWk8A2JpOREREz5FUonrp0iV4e3sDgFZfVXYJqEAMTYBe3wBWNYBji4DDc4HM20DXRYDcSOzoiIiISCJEH/Vf2XDU4AvOrAZiPgWEfKBue+DdDaqHBhAREUkIr9/ikFQf1ef99ddfuHPnjthhUFl7czjQ7zvA0Ay4vh9Y3xl4+LfYURFJz41DwLLmqn+JiCoJSSWq+fn5iIyMhJWVFVxdXVGrVi1YW1tj1qxZyOcjOCuuBp2BIbsBcztAcV41fdW9K2JHRSQdggAcmAmkX1H9yxthRFRJSCpRjYiIwLJly/D5558jPj4e586dw9y5c/HVV19h6tSpJd5fdHQ03N3dYWpqCh8fHxw9erTQugqFAu+99x7q168PAwMDhIaGatVZtWoVWrZsiWrVqqFatWpo3749Tp8+XeK4SIeavsDwWMCmNpCZAqwJBG6dEDsqImlI3AXcjVf9fDceuMGp3YiocpBUorphwwasXr0ao0aNQuPGjdGkSRN89NFHWLVqFdavX1+ifW3ZsgWhoaGIiIhAfHw8WrZsiU6dOiElJUVn/ZycHNjb2yMiIgJNmjTRWefw4cMYMGAADh06hJMnT6JWrVoIDAxkF4XSYlMbGBYL1HwTePoA2NgT+OMXsaMiEo8yDzi9GvhpyH9lMgPg4Gy2qhJRpSCpwVSmpqa4cOEC6tWrp1F+5coVNG3aFE+ePCn2vlq0aAFvb28sX75cXebh4YGePXsiKiqqyG3btGmDpk2bYvHixUXWUyqVqFatGpYtW4bBgwcXKy52xi6G3Gxg63Dgyq8AZEDQHMBvtNhREemPIADXYoHYqaqnuenS/3ugQRf9xkVUifH6LQ5Jtag2adIEy5Yt0ypftmxZoa2cuuTm5iIuLg6BgYEa5YGBgThxovRuJ2dnZ+PZs2ewsbEptE5OTg6ysrI0XvQSxuZAv2+BN0cAEIC9nwG/TQLylWJHRlT2Ui8B3/YCvn9XlaTK5AB0TM/381BAcVHv4RER6ZOk5lGdN28eunTpgv3798PPzw8ymQwnTpzA7du3ERMTU+z9pKenQ6lUwsHBQaPcwcEBqamppRbvpEmTUKNGDbRv377QOlFRUZg5c2apvWelYSAHOn8JWLsAsdOAU8uBrDtA75WAkZnY0RGVvod/A4dmA/GbVNO1GRgB9TsBiTt11897CqxqCwTOBlp8yAdmEFGFJKkW1datW+Pq1avo1asXHjx4gPv376N37964cuUKWrZsWeL9vfiQAEEQSu3BAfPmzcMPP/yAbdu2wdTUtNB6kydPRmZmpvp1+/btUnn/SkEmAwLGAX3WAHJj1QV7Yw8g+77YkRGVntxs4MiXwNJmwLmNqiS1YQ9g9CnVgzCK+m86/xmwZ6LqccSP7uktZCIifZFMi+qzZ88QGBiIb775BnPmzHmtfdnZ2UEul2u1nqalpWm1sr6K+fPnY+7cudi/fz8aN25cZF0TExOYmJi89ntWal7vAFUcgc3vAbdPAWs6qB7DWs1N7MiIXl1+vuoxwgciVXcLAKCGDxA0F6j1f0BeDpB5B0ARU/OZVAGe5QDX9gHL/YFeK4C67fQSPhGRPkgmUTUyMsKlS5dKpcXT2NgYPj4+iI2NRa9evdTlsbGx6NGjx2vt+8svv8Ts2bOxd+9e+Pr6vm6oVFxubwFD9wKb3gEyrqvmWn3vR6CGt9iREZVc8jFgbwSgSFAtW7kA7WcAjXoDBv+2oBqaACMPAY/TC9+Phb1qhoyfhwH3EoFNvQG/MUC76YChcRl/CCKisiepW/+DBw/GmjVrSmVf4eHhWL16NdauXYvExESEhYUhJSUFISEhAFS35F8cqZ+QkICEhAQ8evQI9+7dQ0JCAi5fvqxeP2/ePEyZMgVr166Fm5sbUlNTkZqaikePHpVKzPQS1T2A4fsBBy/g8T1gfRfg6l6xoyo9fPJQxZdxA9j8vurcVSQAxlVUSeWYM6o7BwYv/JdsVRNwblr4y6oG4NBIldC+OVy1zcllwJr2QPo1/X0uIqIyIqnpqT7++GNs3LgRdevWha+vLywsLDTWL1y4sET7i46Oxrx586BQKODp6YlFixahVatWAIAhQ4YgOTkZhw8fVtfX1Zrr6uqK5ORkAICbmxtu3bqlVWf69OmYMWNGsWLi9Bal4GkW8ONg4OYh1ZySXRYCvh+IHdXrEQTVwJi78YBzM2DEIQ6OqUiy7wNH5gFnVgH5earz1mcI0OYzwNK+9N7nz1+BHaOBJ/8ARuZAp3lAs4E8l4hKAa/f4pBUotq2bdtC18lkMhw8eFCP0ZQNnuilRPkM2DUOSPhOtdxyPPD2lPJ7Qb6+H9jU57/lgVuBuoXPJkHlRF4ucGY1cOQL1S16AKjbAQicpbpDUBay7gK/fAgk/a5abtQL6LoYMLMum/cjqiR4/RaHZBJVpVKJY8eOwcvLq8h5Scs7nuilSBCAw58DRz5XLTcZAHRbKu2+eYIA5GSp+h1m3wey01U/H5oLPFQAEFStbY6NgZGHy2/iXdkJAvDnbtXUavdvqsqqN1RNJaWPwU75+cCJJaonWOXnqfrA9l4FuPqV/XsTVVC8fotDMokqoHoyVWJiItzd3cUOpczwRC8D5zYCu0IBQQnUbgP03QjcOQf8NhHo9AVQp/CW+teWlws8uf9v4pmhSjyzX1zOAB5n/LucoZpSqDjcWgHNR6gSG2OLl9cnabhzTjVQKuXfh4tYVAfejgCaDVLND6zXWOJUA63+SVL9AdRqAtDqU0AumXG0ROUGr9/ikFSi+uabb+Lzzz9Hu3YVd3oVnuhl5Fos8GMw8OwxUL2RqiXy70sl6+8pCEDOw5ckmwU//1snJ/PV4jWyACxsATMbVYtbzkMAhXwVDc1UyapHd6BeEG/hSlXmX6qppi5sUS0bmqpG4L8VqppGSiw5D4GYT4HzP6iWXf4P6LMKsK4lXkxE5RCv3+KQVKK6b98+TJw4EbNmzYKPj4/WYKqKcGLwRC9Dd+OB7/oCj9M0y7ssBOzeeC7xzHgu2czQfClzS/6+MgNVwmlhB5jb/vdSL9sB5i+sL3i61ot9U19kYa+a4aCAgSHg3hrw6KZ6zrtl9ZLHS6Ur5yFwbLFqtH3eU1VZ435Au2mqUftSceEn4NdwVdcTEyug2yLAs4hzj4g08PotDkklqgbPTc3y/Aj8gidKKZXl/1nvPNHL2P1k4OvmgDLn1fdhZPFvomn7XKKpa/nff02ttacVKg71SP/z0D2puwHg3AToukTV3zFxl2quTDUZUMtPlbR6dGULmb7lK4H4b4GDc/7746iWPxA0R7rz+/6TDGwdDvx1RrXcdKCqe4yJpahhEZUHvH6LQ1KJ6pEjR4pc37p1az1FUnZ4opexwlooq9YEqrmqWjZfTDRfbAEtaO0sa3k5wCJP7Rbg51lWB0IvqSZ/B1RzYybuUr3untOs69T036S1O2Bfr8zCJgDXDwD7pgJpf6iWq7kDHSJVx1/qA+CUz1RTZR2dr3pcq00d4J01qm4yRFQoXr/FIalEtTLgiV6GClooFRdUA6sKyOSAU2Npzk2a+dfLnzxkVUP3uge3VfNmJu5SDdwRnmuVtav/b9LaDXBqIr3PXV6lJaoS1OuxqmVTa6D1RNVk+1KebUKX5OPAthGqx7caGKm6KviNebW7A0SVAK/f4pBconr06FF88803uHnzJn766SfUqFED3377Ldzd3fHWW2+JHd5r44lehl7W37Miz0366B5wJUaVtN48rDmzgFWt/5JWl+b6H3leETy6BxyeC8StV/1BYGAINB+pGkFvXo6n08u+D+waqzpvANWsGb2+Aao4ihoWkRTx+i0OSf3pvHXrVgQFBcHMzAznzp1DTo6qn+HDhw8xd+5ckaMjSRME1ZyRhZ7SBqr10vq7rPRY2gM+wcDAn4EJN4Deq1VdAIzMgcwU4H9fA+s6AgsaqKbyun5AdQuYivbsKXB0IbC0GXB2rSpJbdAV+OgU0DGqfCepgCr+vt8C3ZaoZpe4eRhY7g9c2SN2ZFTR8ZHRVEySalFt1qwZwsLCMHjwYFSpUgXnz59H7dq1kZCQgI4dOyI1NVXsEF8b/yIrI6/S37MyyM0GbhxUtZhd+U1zOi1TK6BeJ1VLa523AWNz8eKUGkEALm0F9s8AMm+rypyaqgZKuZX/Ozs63bsKbB0KpF5ULTf/UNXv1shU3Lio4imnj4zm9VsckkpUzc3NcfnyZbi5uWkkqjdv3kTDhg3x9OlTsUN8bTzRy9Dr9PesDPJygeSjqqT1z92a014Zmau6RXh0B+oFqpLYyirlf8Dez1ST5QNAFWeg/XTAq2/F77+ZlwPsn6lqgQdUcxK/s6bsHvdKlVM5fWQ0r9/ikNTjSZycnHD9+nW4ublplB87dgy1a9cWJygqP6xqSmveSqkxNFY9OKBuO6DLAuD26f9mEMhMARJ3ql4GRqq+igVztVrYiR25ftxPAvZPBy7vUC0bWQBvhQF+oytPa7OhCdBxrqqFfXuIalaDlW1ULcm+w8pFqxdJjDIPeHhX1ZDw4Dbw4BZwasV/62VyVbesOu14fpFOkmpRnTdvHjZs2IC1a9eiQ4cOiImJwa1btxAWFoZp06ZhzJgxYof42vgXGUmOIACK8/8mrTuB9Kv/rZMZqOYGLZir9cU/BG4c0s+jakvb83E7NwN+/xI4vVL1wAeZAdBsINA2onIPKnqUBmwfpWr9AoD6XYDuX6nmEyYqkJut6h6TeVuViKr//Uv1c9ZdzVlYClMOWlV5/RaHpBJVAIiIiMCiRYvUt/lNTEwwfvx4zJo1S+TISgdPdJK8e1f+bV3dpUpgn+fs/d9crbZ1ymU/M43+cVY1gZzHwNN/VOtqtwEC5wCOnqKGKBn5+arWr/3TVUl8FSfVrAC1y/+c1lQMgqCaGSIz5b8W0czbwIOU/xLR7IyX78fASNXtqmpNIO0y8OQfaDwyWspTCD6H129xSC5RBYDs7GxcvnwZ+fn5aNiwISwtK85TU3iiU7nyz63/noqV8j9oXFysXP4baAQA3ZaqnpQldSknVVMyPc+uPhA4G3ijg6QvlKJRnAd+HgZkXAMgA94KVbU4y43EjoyAV7+zocwDHir+SzofpPzbOvpcUvos++X7Ma4CWLuo/k+wdvm3G5aL6ml5Vi6ApYOqf3c5n0KQ129xSDJRrch4olO59fBv4Mq/Dxi4eaR4t/PKAysX4ON4wJBJV5FyH6sGmcWtVy07e6sGWtlw/ICoihpBn5v9XxL6/K35gkQ0607xvscW1V9IRF/42dTq5X/gFfeR0RJuVeX1WxxMVPWMJzpVCH9sB34K1i43spB2K5vyGfDssXa5xFtyJOXyDmDnWODpA8DYUjUwr0l/saOqXPKVqlvy2RnAtb1A7LT/1rm0UHXTeHAbyC5iFpQCBoZA1Rr/tX6+2CJatUbpTFFWAaYQ5PVbHExU9YwnOpV75fFRtUD5jVuKMv8Cto0Ebh1XLXv1VSWsphXg/zR9DxAUBNXt9cfpqsSz4KVeTlclpc8vP3kAjW44RTG21Gz9fLFF1NJBf0+rK+dTCPL6LQ5JTU9FROXAjQOq24wvEpSq8hsHpNk6WV7jliKrmkDwLtVTuw5HARd/BG6fAvqsAVzeFDu6VycIwIGZQPoV1b+125T8j5d8pWqwkEaimQE8znhh+d8ENDsdyHvFOcKNLHTfIWg9UfUENWsXwNRaOn+AcQpBegVMVImo+DQeVVtIPzMpzolYXuOWMgM50PpT1QwAW4ep5sdcGwS0nQy8Fa5aX96mL3v+j5m78apHDbv6laC1M0N7RHtxyY0BczvV9F/mtqqfzW1V8xib27ywbAuYVgPWdtB9h+DaPqDNZJ7LVCFILlG9evUqDh8+jLS0NOTna15Qpk2bVshWRKQXylwg8w50J3tQlWfdUdWTUj+z8hp3eeDSHAg5BuwOBy79rEr4bxwGeq14/dbJkshXqm6hP3ui+jf3uZ+fPVG1PD6/nJutuS43W5WYPu+7d/BKSSegasksSCrNC5JN2xfKbP9LTI0tS3Z8ru/nHQKqFCTVR3XVqlUYNWoU7Ozs4OjoCNlzX1qZTIZz586JGF3pYB8XKvfKaz+z8hp3eSEIwPnNQMx4IPeR9m3pft+pBvq8LGF89uSFZDP7ubIitlXmlN1nK2lrp5kNIC/DdqAKMIK+POL1WxySSlRdXV3x0UcfYeLEiWKHUmZ4ohNRhZZxQzXnqkJHa5++GJkDRmaqZNnI7N+XuepRuAU/P7/e0BSIW6d6ipLGRPQGgKMXMOKwah5QqagAI+jLI16/xSGpW////PMP3n33XbHDICKiV2VbB2gzCfihn+71JU0iNdaba5YZPV/2bx1D05K3Il7fDxyarV0u5KsednDzoLRuoxuaACMPvfwOAZNUqgAklai+++672LdvH0JCQsQOhYiIXoUgAEc+Vw3qKQ/TgJXXgXYcQU+VhKQS1bp162Lq1Kn43//+By8vLxgZaU4cPnbs2EK2JCIiSShv04BxoB2RpEmqj6q7u3uh62QyGW7evKnHaMoG+7gQUYVVXgf5cKAdFQOv3+KQVItqUlKS2CEQEdGrKq+tk7yNTiRZkkpUn1fQ0CuT0l/dRERUOA7yIaJSJqH5NlQ2btwILy8vmJmZwczMDI0bN8a3334rdlhERFQcVjUB56aFv3gLnYhKQFItqgsXLsTUqVMxZswYBAQEQBAEHD9+HCEhIUhPT0dYWJjYIRIRERGRnkhuMNXMmTMxePBgjfINGzZgxowZFaIPKztjExERlT+8fotDUrf+FQoF/P39tcr9/f2hUChEiIiIiIiIxCKpRLVu3br48ccftcq3bNmCN954Q4SIiIiIiEgskuqjOnPmTPTr1w+///47AgICIJPJcOzYMRw4cEBnAktEREREFZekWlT79OmDU6dOwc7ODtu3b8e2bdtgZ2eH06dPo1evXmKHR0RERER6JKnBVJUBO2MTERGVP7x+i0P0W/9ZWVnqX3hWVlaRdXliEBEREVUeot/6r1atGtLS0gAA1tbWqFatmtaroLykoqOj4e7uDlNTU/j4+ODo0aOF1lUoFHjvvfdQv359GBgYIDQ0VGe9rVu3omHDhjAxMUHDhg3xyy+/lDguIiIiIno50VtUDx48CBsbGwDAoUOHSm2/W7ZsQWhoKKKjoxEQEIBvvvkGnTp1wuXLl1GrVi2t+jk5ObC3t0dERAQWLVqkc58nT55Ev379MGvWLPTq1Qu//PIL+vbti2PHjqFFixalFjsRERERSayPakpKClxcXCCTyTTKBUHA7du3dSaYhWnRogW8vb2xfPlydZmHhwd69uyJqKioIrdt06YNmjZtisWLF2uU9+vXD1lZWfjtt9/UZR07dkS1atXwww8/FCsu9nEhIiIqf3j9Fofot/6f5+7ujnv37mmV379/H+7u7sXeT25uLuLi4hAYGKhRHhgYiBMnTrxyfCdPntTaZ1BQUJH7zMnJQVZWlsaLiIiIiF5OUomqIAharakA8OjRI5iamhZ7P+np6VAqlXBwcNAod3BwQGpq6ivHl5qaWuJ9RkVFwcrKSv1ycXF55fcnIiIiqkxE76MKAOHh4QAAmUyGqVOnwtzcXL1OqVTi1KlTaNq0aYn3q6sLga5EuCz3OXnyZPXnA1S3DpisEhEREb2cJBLV+Ph4AKqk7+LFizA2NlavMzY2RpMmTTB+/Phi78/Ozg5yuVyrpTMtLU2rRbQkHB0dS7xPExMTmJiYvPJ7EhEREVVWkkhUC0b7f/DBB1iyZMlrd1I2NjaGj48PYmNjNZ5oFRsbix49erzyfv38/BAbG4uwsDB12b59++Dv7/9a8RIRERGRNkkkqgXWrVtXavsKDw/HoEGD4OvrCz8/P6xcuRIpKSkICQkBoLolf+fOHWzcuFG9TUJCAgBVn9h79+4hISEBxsbGaNiwIQBg3LhxaNWqFb744gv06NEDO3bswP79+3Hs2LFSi5uIiIiIVCSVqALAmTNn8NNPPyElJQW5ubka67Zt21bs/fTr1w8ZGRmIjIyEQqGAp6cnYmJi4OrqCkA1wX9KSorGNs2aNVP/HBcXh++//x6urq5ITk4GAPj7+2Pz5s2YMmUKpk6dijp16mDLli2cQ5WIiIioDEhqHtXNmzdj8ODBCAwMRGxsLAIDA3Ht2jWkpqaiV69epdriKhbOw0ZERFT+8PotDklNTzV37lwsWrQIu3fvhrGxMZYsWYLExET07du3RJP9ExEREVH5J6lE9caNG+jSpQsA1Wj5x48fQyaTISwsDCtXrhQ5OiIiIiLSJ0klqjY2Nnj48CEAoEaNGrh06RIA4MGDB8jOzhYzNCIiIiLSM0kNpmrZsiViY2Ph5eWFvn37Yty4cTh48CBiY2PRrl07scMjIiIiIj2SVKK6bNkyPH36FIBq+igjIyMcO3YMvXv3xtSpU0WOjoiIiIj0SVKj/isDjhokIiIqf3j9Foek+qjGxMRg7969WuX79u3Db7/9JkJERERERCQWSSWqkyZNglKp1CrPz8/HpEmTRIiIiIiIiMQiqUT12rVr6seVPq9Bgwa4fv26CBERERERkVgklahaWVnh5s2bWuXXr1+HhYWFCBERERERkVgklah2794doaGhuHHjhrrs+vXr+OSTT9C9e3cRIyMiIiIifZNUovrll1/CwsICDRo0gLu7O9zd3eHh4QFbW1vMnz9f7PCIiIiISI8kNY+qlZUVTpw4gdjYWJw/fx5mZmZo3LgxWrVqJXZoRERERKRnnEdVzzgPGxERUfnD67c4RG9RXbp0KUaOHAlTU1MsXbq0yLpjx47VU1REREREJDbRW1Td3d1x9uxZ2Nrawt3dvdB6MplM54wA5Q3/IiMiIip/eP0Wh+gtqgkJCbCysgIAJCUliRwNEREREUmF6KP+bWxskJaWBgB4++238eDBA3EDIiIiIiJJED1RtbS0REZGBgDg8OHDePbsmcgREREREZEUiH7rv3379mjbti08PDwAAL169YKxsbHOugcPHtRnaEREREQkItET1U2bNmHDhg24ceMGjhw5gkaNGsHc3FzssIiIiIhIZKKP+n9e27Zt8csvv8Da2lrsUMoMRw0SERGVP7x+i0P0FtXnHTp0SOwQiIiIiEgiRE9Uw8PDMWvWLFhYWCA8PLzIugsXLtRTVEREREQkNtET1fj4ePVI//j4+ELryWQyfYVERERERBIgqT6qlQH7uBAREZU/vH6LQ/R5VIuSlZWF7du3488//xQ7FCIiIiLSM0klqn379sWyZcsAAE+ePIGvry/69u0LLy8vbN26VeToiIiIiEifJJWo/v7772jZsiUA4JdffoEgCHjw4AGWLl2K2bNnixwdEREREemTpBLVzMxM2NjYAAD27NmDPn36wNzcHF26dMG1a9dEjo6IiIiI9ElSiaqLiwtOnjyJx48fY8+ePQgMDAQA/PPPPzA1NRU5OiIiIiLSJ9Gnp3peaGgo3n//fVhaWsLV1RVt2rQBoOoS4OXlJW5wRERERKRXkkpUP/roIzRv3hy3b99Ghw4dYGCgavCtXbs2+6gSERERVTKSnkdVqVTi4sWLcHV1RbVq1cQOp1RwHjYiIqLyh9dvcUiqj2poaCjWrFkDQJWktm7dGt7e3nBxccHhw4fFDY6IiIiI9EpSierPP/+MJk2aAAB27dqFpKQk/PnnnwgNDUVERITI0RERERGRPkkqUU1PT4ejoyMAICYmBu+++y7q1auHYcOG4eLFiyJHR0RERET6JKlE1cHBAZcvX4ZSqcSePXvQvn17AEB2djbkcrnI0RERERGRPkkqUf3ggw/Qt29feHp6QiaToUOHDgCAU6dOoUGDBiXeX3R0NNzd3WFqagofHx8cPXq0yPpHjhyBj48PTE1NUbt2baxYsUKrzuLFi1G/fn2YmZnBxcUFYWFhePr0aYljIyIiIqKiSWp6qhkzZsDT0xO3b9/Gu+++CxMTEwCAXC7HpEmTSrSvLVu2IDQ0FNHR0QgICMA333yDTp064fLly6hVq5ZW/aSkJHTu3BkjRozApk2bcPz4cXz00Uewt7dHnz59AADfffcdJk2ahLVr18Lf3x9Xr17FkCFDAACLFi16vQ9PRERERBokPT3V62jRogW8vb2xfPlydZmHhwd69uyJqKgorfoTJ07Ezp07kZiYqC4LCQnB+fPncfLkSQDAmDFjkJiYiAMHDqjrfPLJJzh9+vRLW2sLcHoLIiKi8ofXb3FIqkUVAB4/fowjR44gJSUFubm5GuvGjh1brH3k5uYiLi5OqxU2MDAQJ06c0LnNyZMn1Y9sLRAUFIQ1a9bg2bNnMDIywltvvYVNmzbh9OnTaN68OW7evImYmBgEBwcXGktOTg5ycnLUy1lZWcX6DERERESVnaQS1fj4eHTu3BnZ2dl4/PgxbGxskJ6eDnNzc1SvXr3YiWp6ejqUSiUcHBw0yh0cHJCamqpzm9TUVJ318/LykJ6eDicnJ/Tv3x/37t3DW2+9BUEQkJeXh1GjRhXZLSEqKgozZ84sVtxERERE9B9JDaYKCwtDt27dcP/+fZiZmeF///sfbt26BR8fH8yfP7/E+5PJZBrLgiBolb2s/vPlhw8fxpw5cxAdHY1z585h27Zt2L17N2bNmlXoPidPnozMzEz16/bt2yX+HERERESVkaRaVBMSEvDNN99ALpdDLpcjJycHtWvXxrx58xAcHIzevXsXaz92dnaQy+VaradpaWlaraYFHB0dddY3NDSEra0tAGDq1KkYNGgQhg8fDgDw8vLC48ePMXLkSERERMDAQDvvNzExUQ8KIyIiIqLik1SLqpGRkbr10sHBASkpKQAAKysr9c/FYWxsDB8fH8TGxmqUx8bGwt/fX+c2fn5+WvX37dsHX19fGBkZAVDN5/piMiqXyyEIAiromDQiIiIi0UiqRbVZs2Y4e/Ys6tWrh7Zt22LatGlIT0/Ht99+Cy8vrxLtKzw8HIMGDYKvry/8/PywcuVKpKSkICQkBIDqlvydO3ewceNGAKoR/suWLUN4eDhGjBiBkydPYs2aNfjhhx/U++zWrRsWLlyIZs2aoUWLFrh+/TqmTp2K7t2784EERERERKVMUonq3Llz8fDhQwDArFmzEBwcjFGjRqFu3bpYt25difbVr18/ZGRkIDIyEgqFAp6enoiJiYGrqysAQKFQaLTSuru7IyYmBmFhYfj666/h7OyMpUuXqudQBYApU6ZAJpNhypQpuHPnDuzt7dGtWzfMmTOnFD49ERERET2vws6jKlWch42IiKj84fVbHJLqo0pEREREVED0W//NmjUrcsqo5507d66MoyEiIiIiqRA9Ue3Zs6fYIRARERGRBLGPqp6xjwsREVH5w+u3OCTVR/XMmTM4deqUVvmpU6dw9uxZESIiIiIiIrFIKlEdPXq0zkeM3rlzB6NHjxYhIiIiIiISi6QS1cuXL8Pb21urvFmzZrh8+bIIERERERGRWCSVqJqYmODvv//WKlcoFDA0FH3cFxERERHpkaQS1Q4dOmDy5MnIzMxUlz148ACfffYZOnToIGJkRERERKRvkmqmXLBgAVq1agVXV1c0a9YMAJCQkAAHBwd8++23IkdHRERERPokqUS1Ro0auHDhAr777jucP38eZmZm+OCDDzBgwAAYGRmJHR4RERER6ZGkElUAsLCwwMiRI8UOg4iIiIhEJqk+qhs2bMCvv/6qXp4wYQKsra3h7++PW7duiRgZEREREembpBLVuXPnwszMDABw8uRJLFu2DPPmzYOdnR3CwsJEjo6IiIiI9ElSt/5v376NunXrAgC2b9+Od955ByNHjkRAQADatGkjbnBEREREpFeSalG1tLRERkYGAGDfvn1o3749AMDU1BRPnjwRMzQiIiIi0jNJtah26NABw4cPR7NmzXD16lV06dIFAPDHH3/Azc1N3OCIiIiISK8k1aL69ddfw8/PD/fu3cPWrVtha2sLAIiLi8OAAQNEjo6IiIiI9EkmCIIgdhCVSVZWFqysrJCZmYmqVauKHQ4REREVA6/f4hD91v+FCxfg6ekJAwMDXLhwoci6jRs31lNURERERCQ20RPVpk2bIjU1FdWrV0fTpk0hk8nwfCNvwbJMJoNSqRQxUiIiIiLSJ9ET1aSkJNjb26t/JiIiIiICJJCourq66vyZiIiIiCo30RPVF925cwfHjx9HWloa8vPzNdaNHTtWpKiIiIiISN8klaiuW7cOISEhMDY2hq2tLWQymXqdTCZjokpERERUiUhqeioXFxeEhIRg8uTJMDCQ1BSvpYbTWxAREZU/vH6LQ1LZYHZ2Nvr3719hk1QiIiIiKj5JZYTDhg3DTz/9JHYYRERERCQBkrr1r1Qq0bVrVzx58gReXl4wMjLSWL9w4UKRIis9vHVARERU/vD6LQ5JDaaaO3cu9u7di/r16wOA1mAqIiIiIqo8JJWoLly4EGvXrsWQIUPEDoWIiIiIRCapPqomJiYICAgQOwwiIiIikgBJJarjxo3DV199JXYYRERERCQBkrr1f/r0aRw8eBC7d+9Go0aNtAZTbdu2TaTIiIiIiEjfJJWoWltbo3fv3mKHQUREREQSIKlEdd26dWKHQEREREQSIak+qkREREREBURPVDt27IgTJ068tN7Dhw/xxRdf4Ouvv9ZDVEREREQkNtET1XfffRd9+/aFh4cHJk6ciJ9++gnHjx9HXFwc9u/fj6VLl6Jv375wcnJCfHw8unfvXux9R0dHw93dHaampvDx8cHRo0eLrH/kyBH4+PjA1NQUtWvXxooVK7TqPHjwAKNHj4aTkxNMTU3h4eGBmJiYEn9uIiIiIiqa6H1Uhw0bhkGDBuHnn3/Gli1bsGrVKjx48ACA6mlUDRs2RFBQEOLi4tRPrCqOLVu2IDQ0FNHR0QgICMA333yDTp064fLly6hVq5ZW/aSkJHTu3BkjRozApk2bcPz4cXz00Uewt7dHnz59AAC5ubno0KEDqlevjp9//hk1a9bE7du3UaVKlVI5FkRERET0H5kgCILYQbwoMzMTT548ga2trdYUVcXVokULeHt7Y/ny5eoyDw8P9OzZE1FRUVr1J06ciJ07dyIxMVFdFhISgvPnz+PkyZMAgBUrVuDLL7/En3/++cpx8VnBRERE5Q+v3+IQ/da/LlZWVnB0dHzlZDA3NxdxcXEIDAzUKA8MDCy0P+zJkye16gcFBeHs2bN49uwZAGDnzp3w8/PD6NGj4eDgAE9PT8ydOxdKpbLQWHJycpCVlaXxIiIiIqKXk2Si+rrS09OhVCrh4OCgUe7g4IDU1FSd26Smpuqsn5eXh/T0dADAzZs38fPPP0OpVCImJgZTpkzBggULMGfOnEJjiYqKgpWVlfrl4uLymp+OiIiIqHKokIlqAZlMprEsCIJW2cvqP1+en5+P6tWrY+XKlfDx8UH//v0RERGh0b3gRZMnT0ZmZqb6dfv27Vf9OERERESViuiDqcqCnZ0d5HK5VutpWlqaVqtpAUdHR531DQ0NYWtrCwBwcnKCkZER5HK5uo6HhwdSU1ORm5sLY2Njrf2amJjAxMTkdT8SERERUaVTIVtUjY2N4ePjg9jYWI3y2NhY+Pv769zGz89Pq/6+ffvg6+ur7isbEBCA69evIz8/X13n6tWrcHJy0pmkEhEREdGrk1yi+uDBA6xevRqTJ0/G/fv3AQDnzp3DnTt3SrSf8PBwrF69GmvXrkViYiLCwsKQkpKCkJAQAKpb8oMHD1bXDwkJwa1btxAeHo7ExESsXbsWa9aswfjx49V1Ro0ahYyMDIwbNw5Xr17Fr7/+irlz52L06NGl8MmJiIiI6HmSuvV/4cIFtG/fHlZWVkhOTsaIESNgY2ODX375Bbdu3cLGjRuLva9+/fohIyMDkZGRUCgU8PT0RExMDFxdXQEACoUCKSkp6vru7u6IiYlBWFgYvv76azg7O2Pp0qXqOVQBwMXFBfv27UNYWBgaN26MGjVqYNy4cZg4cWLpHQQiIiIiAiCxeVTbt28Pb29vzJs3D1WqVMH58+dRu3ZtnDhxAu+99x6Sk5PFDvG1cR42IiKi8ofXb3FI6tb/mTNn8OGHH2qV16hRo9BppYiIiIioYpJUompqaqpzQvwrV67A3t5ehIiIiIiISCySSlR79OiByMhI9ZOgZDIZUlJSMGnSJI2+okRERERU8UkqUZ0/fz7u3buH6tWr48mTJ2jdujXq1q2LKlWqFPn0JyIiIiKqeCQ16r9q1ao4duwYDh48iHPnziE/Px/e3t5o37692KERERERkZ5JatR/ZcBRg0REROUPr9/ikNSt/7Fjx2Lp0qVa5cuWLUNoaKj+AyIiIiIi0UgqUd26dSsCAgK0yv39/fHzzz+LEBERERERiUVSiWpGRgasrKy0yqtWrYr09HQRIiIiIiIisUgqUa1bty727NmjVf7bb7+hdu3aIkRERERERGKR1Kj/8PBwjBkzBvfu3cPbb78NADhw4AAWLFiAxYsXixscEREREemVpBLVoUOHIicnB3PmzMGsWbMAAG5ubli+fDkGDx4scnREREREpE+SnZ7q3r17MDMzg6WlpdihlCpOb0FERFT+8PotDkm1qD7P3t5e7BCIiIiISESSGkz1999/Y9CgQXB2doahoSHkcrnGi4iIiIgqD0m1qA4ZMgQpKSmYOnUqnJycIJPJxA6JiIiIiEQiqUT12LFjOHr0KJo2bSp2KEREREQkMknd+ndxcYFEx3YRERERkZ5JKlFdvHgxJk2ahOTkZLFDISIiIiKRSerWf79+/ZCdnY06derA3NwcRkZGGuvv378vUmREREREpG+SSlT59CkiIiIiKiCpRDU4OFjsEIiIiIhIIiSVqD7vyZMnePbsmUYZnwRBREREVHlIajDV48ePMWbMGFSvXh2WlpaoVq2axouIiIiIKg9JJaoTJkzAwYMHER0dDRMTE6xevRozZ86Es7MzNm7cKHZ4RERERKRHkrr1v2vXLmzcuBFt2rTB0KFD0bJlS9StWxeurq747rvv8P7774sdIhERERHpiaRaVO/fvw93d3cAqv6oBdNRvfXWW/j999/FDI2IiIiI9ExSiWrt2rXVk/03bNgQP/74IwBVS6u1tbV4gRERERGR3kkqUf3ggw9w/vx5AMDkyZPVfVXDwsLw6aefihwdEREREemTTBAEQewgCpOSkoKzZ8+iTp06aNKkidjhlIqsrCxYWVkhMzOT020RERGVE7x+i0NSg6leVKtWLdSqVUvsMIiIiIhIBJJLVE+fPo3Dhw8jLS0N+fn5GusWLlwoUlREREREpG+SSlTnzp2LKVOmoH79+nBwcIBMJlOve/5nIiIiIqr4JJWoLlmyBGvXrsWQIUPEDoWIiIiIRCapUf8GBgYICAgQOwwiIiIikgBJJaphYWH4+uuvxQ6DiIiIiCRAUrf+x48fjy5duqBOnTpo2LAhjIyMNNZv27ZNpMiIiIiISN8klah+/PHHOHToENq2bQtbW1sOoCIiIiKqxCR163/jxo3YunUrfvvtN6xfvx7r1q3TeJVUdHQ03N3dYWpqCh8fHxw9erTI+keOHIGPjw9MTU1Ru3ZtrFixotC6mzdvhkwmQ8+ePUscFxERERG9nKQSVRsbG9SpU6dU9rVlyxaEhoYiIiIC8fHxaNmyJTp16oSUlBSd9ZOSktC5c2e0bNkS8fHx+OyzzzB27Fhs3bpVq+6tW7cwfvx4tGzZslRiJSIiIiJtknqE6rp167Bnzx6sW7cO5ubmr7WvFi1awNvbG8uXL1eXeXh4oGfPnoiKitKqP3HiROzcuROJiYnqspCQEJw/fx4nT55UlymVSrRu3RoffPABjh49igcPHmD79u3FjouPYCMiIip/eP0Wh6T6qC5duhQ3btyAg4MD3NzctAZTnTt3rlj7yc3NRVxcHCZNmqRRHhgYiBMnTujc5uTJkwgMDNQoCwoKwpo1a/Ds2TN1LJGRkbC3t8ewYcNe2pUAAHJycpCTk6NezsrKKtZnICIiIqrsJJWollZ/z/T0dCiVSjg4OGiUOzg4IDU1Vec2qampOuvn5eUhPT0dTk5OOH78ONasWYOEhIRixxIVFYWZM2eW+DMQERERVXaSSVTz8vIAAEOHDoWLi0up7PPFWQMEQShyJgFd9QvKHz58iIEDB2LVqlWws7MrdgyTJ09GeHi4ejkrK6vUPh8RERFRRSaZRNXQ0BDz589HcHDwa+/Lzs4Ocrlcq/U0LS1Nq9W0gKOjo876hoaGsLW1xR9//IHk5GR069ZNvT4/P18d+5UrV3QOBDMxMYGJicnrfiQiIiKiSkdSo/7btWuHw4cPv/Z+jI2N4ePjg9jYWI3y2NhY+Pv769zGz89Pq/6+ffvg6+sLIyMjNGjQABcvXkRCQoL61b17d7Rt2xYJCQlsJSUiIiIqZZJpUQWATp06YfLkybh06RJ8fHxgYWGhsb579+7F3ld4eDgGDRoEX19f+Pn5YeXKlUhJSUFISAgA1S35O3fuYOPGjQBUI/yXLVuG8PBwjBgxAidPnsSaNWvwww8/AABMTU3h6emp8R7W1tYAoFVORERERK9PUonqqFGjAAALFy7UWieTyaBUKou9r379+iEjIwORkZFQKBTw9PRETEwMXF1dAQAKhUJjTlV3d3fExMQgLCwMX3/9NZydnbF06VL06dPnNT8VEREREb0KSc2jWhlwHjYiIqLyh9dvcUiqjyoRERERUQHJJapHjhxBt27dULduXbzxxhvo3r17sSbWJyIiIqKKRVKJ6qZNm9C+fXuYm5tj7NixGDNmDMzMzNCuXTt8//33YodHRERERHokqT6qHh4eGDlyJMLCwjTKFy5ciFWrViExMVGkyEoP+7gQERGVP7x+i0NSLao3b97UmFC/QPfu3ZGUlCRCREREREQkFkklqi4uLjhw4IBW+YEDBzihPhEREVElI6l5VD/55BOMHTsWCQkJ8Pf3h0wmw7Fjx7B+/XosWbJE7PCIiIiISI8klaiOGjUKjo6OWLBgAX788UcAqn6rW7ZsQY8ePUSOjoiIiIj0SfTBVEuXLsXIkSNhamqKlJQUuLi4QCaTiRlSmWJnbCIiovKH129xiN5HNTw8HFlZWQBUjzG9d++eyBERERERkRSIfuvf2dkZW7duRefOnSEIAv766y88ffpUZ91atWrpOToiIiIiEovot/5XrlyJjz/+GHl5eYXWEQQBMpkMSqVSj5GVDd46ICIiKn94/RaH6IkqADx8+BC3bt1C48aNsX//ftja2uqs16RJEz1HVvp4ohMREZU/vH6LQ/Rb/wBQpUoVeHh4YO3atfDw8ICTk5PYIRERERGRyEQfTFVALpcjJCSk0P6pRERERFS5SCZRBQAvLy/cvHlT7DCIiIiISAIklajOmTMH48ePx+7du6FQKJCVlaXxIiIiIqLKQxKDqQoYGPyXNz8/6T9H/RMREZGYeP0WhyQGUxU4dOiQ2CEQERERkURIKlFt3bq12CEQERERkURIqo8qABw9ehQDBw6Ev78/7ty5AwD49ttvcezYMZEjIyIiIiJ9klSiunXrVgQFBcHMzAznzp1DTk4OANUDAebOnStydERERESkT5JKVGfPno0VK1Zg1apVMDIyUpf7+/vj3LlzIkZGRERERPomqUT1ypUraNWqlVZ51apV8eDBA/0HRERERESikVSi6uTkhOvXr2uVHzt2DLVr1xYhIiIiIiISi6QS1Q8//BDjxo3DqVOnIJPJcPfuXXz33XcYP348PvroI7HDIyIiIiI9ktT0VBMmTEBmZibatm2Lp0+folWrVjAxMcH48eMxZswYscMjIiIiIj2S1JOpCmRnZ+Py5cvIz89Hw4YNYWlpKXZIpYZPtiAiIip/eP0WhyRu/WdnZ2P06NGoUaMGqlevjuHDh8PNzQ3NmzevUEkqERERERWfJBLV6dOnY/369ejSpQv69++P2NhYjBo1SuywiIiIiEhEkuijum3bNqxZswb9+/cHAAwcOBABAQFQKpWQy+UiR0dEREREYpBEi+rt27fRsmVL9XLz5s1haGiIu3fvihgVEREREYlJEomqUqmEsbGxRpmhoSHy8vJEioiIiIiIxCaJW/+CIGDIkCEwMTFRlz19+hQhISGwsLBQl23btk2M8IiIiIhIBJJIVIODg7XKBg4cKEIkRERERCQVkkhU161bJ3YIRERERCQxkuijSkRERET0IiaqRERERCRJFTpRjY6Ohru7O0xNTeHj44OjR48WWf/IkSPw8fGBqakpateujRUrVmisX7VqFVq2bIlq1aqhWrVqaN++PU6fPl2WH4GIiIio0qqwieqWLVsQGhqKiIgIxMfHo2XLlujUqRNSUlJ01k9KSkLnzp3RsmVLxMfH47PPPsPYsWOxdetWdZ3Dhw9jwIABOHToEE6ePIlatWohMDAQd+7c0dfHIiIiIqo0ZIIgCGIHURZatGgBb29vLF++XF3m4eGBnj17IioqSqv+xIkTsXPnTiQmJqrLQkJCcP78eZw8eVLneyiVSlSrVg3Lli3D4MGDixVXVlYWrKyskJmZiapVq5bwUxEREZEYeP0WR4VsUc3NzUVcXBwCAwM1ygMDA3HixAmd25w8eVKrflBQEM6ePYtnz57p3CY7OxvPnj2DjY1NobHk5OQgKytL40VEREREL1chE9X09HQolUo4ODholDs4OCA1NVXnNqmpqTrr5+XlIT09Xec2kyZNQo0aNdC+fftCY4mKioKVlZX65eLiUsJPQ0RERFQ5VchEtYBMJtNYFgRBq+xl9XWVA8C8efPwww8/YNu2bTA1NS10n5MnT0ZmZqb6dfv27ZJ8BCIiIqJKSxIT/pc2Ozs7yOVyrdbTtLQ0rVbTAo6OjjrrGxoawtbWVqN8/vz5mDt3Lvbv34/GjRsXGYuJiYnGo2GJiIiIqHgqZIuqsbExfHx8EBsbq1EeGxsLf39/ndv4+flp1d+3bx98fX1hZGSkLvvyyy8xa9Ys7NmzB76+vqUfPBEREREBqKCJKgCEh4dj9erVWLt2LRITExEWFoaUlBSEhIQAUN2Sf36kfkhICG7duoXw8HAkJiZi7dq1WLNmDcaPH6+uM2/ePEyZMgVr166Fm5sbUlNTkZqaikePHun98xERERFVdBXy1j8A9OvXDxkZGYiMjIRCoYCnpydiYmLg6uoKAFAoFBpzqrq7uyMmJgZhYWH4+uuv4ezsjKVLl6JPnz7qOtHR0cjNzcU777yj8V7Tp0/HjBkz9PK5iIiIiCqLCjuPqlRxHjYiIqLyh9dvcVTYW/9EREREVL4xUSUiIiIiSWKiSkRERESSxESViIiIiCSJiSoRERERSRITVSIiIiKSJCaqRERERCRJTFSJiIiISJKYqBIRERGRJDFRJSIiIiJJYqJKRERERJLERJWIiIiIJImJKhERERFJEhNVIiIiIpIkJqpEREREJElMVImIiIhIkpioEhEREZEkMVElIiIiIkliokpEREREksRElYiIiIgkiYkqEREREUkSE1UiIiIikiQmqkREREQkSUxUiYiIiEiSmKgSERERkSQxUSUiIiIiSWKiSkRERESSxESViIiIiCSJiSoRERERSRITVSIiIiKSJCaqRERERCRJTFSJiIiISJKYqBIRERGRJDFRJSIiIiJJYqJKRERERJLERJWIiIiIJMlQ7ACIiIio8lDmCziddB9pD5+iehVTNHe3gdxAJnZYJFFMVKlI5fE/FMasH+UxZqB8xs2Y9YMxl709lxSYuesyFJlP1WVOVqaY3q0hOno6iRgZSVWFTlSjo6Px5ZdfQqFQoFGjRli8eDFatmxZaP0jR44gPDwcf/zxB5ydnTFhwgSEhIRo1Nm6dSumTp2KGzduoE6dOpgzZw569epV1h9FFOXxPxTGrB/lMWagfMbNmPWDMZe9PZcUGLXpHIQXylMzn2LUpnNYPtBbknGTuCpsH9UtW7YgNDQUERERiI+PR8uWLdGpUyekpKTorJ+UlITOnTujZcuWiI+Px2effYaxY8di69at6jonT55Ev379MGjQIJw/fx6DBg1C3759cerUKX19LL0p+A/l+f8Agf/+Q9lzSSFSZIVjzPpRHmMGymfcjFk/GHPZEgQBT3KVmLHzD60kFYC6bOauy1Dm66pBlZlMEIQKeVa0aNEC3t7eWL58ubrMw8MDPXv2RFRUlFb9iRMnYufOnUhMTFSXhYSE4Pz58zh58iQAoF+/fsjKysJvv/2mrtOxY0dUq1YNP/zwQ7HiysrKgpWVFTIzM1G1atVX/XhlSpkv4K0vDmr9B/i8auZGmNPTEwYSucWUny/gs+2X8CD7WaF1GPPrK48xA+UzbsasHxU1ZiszI4R1eAPKfECZn49nSgHKfAF5+QLylPlQ5gv/luX/W/bvun+Xlcr/fs779+f/thHw7N99FGyjVAp4lq9jnTIfJck9fxjxf/CrY1sKR6n0lYfrd0VUIRPV3NxcmJub46efftK4LT9u3DgkJCTgyJEjWtu0atUKzZo1w5IlS9Rlv/zyC/r27Yvs7GwYGRmhVq1aCAsLQ1hYmLrOokWLsHjxYty6dUtnLDk5OcjJyVEvZ2ZmolatWrh9+7ZkT/TTN+9j6IYzYodBRESVzBd9vNClsbPYYeiUlZUFFxcXPHjwAFZWVmKHU2lUyD6q6enpUCqVcHBw0Ch3cHBAamqqzm1SU1N11s/Ly0N6ejqcnJwKrVPYPgEgKioKM2fO1Cp3cXEp7schIiKqFN5bLHYEL/fw4UMmqnpUIRPVAjKZ5m0aQRC0yl5W/8Xyku5z8uTJCA8PVy8/ePAArq6uSElJ4Ylehgr+8pVyy3VFwOOsPzzW+sHjrB/l8TgLgoCHDx/C2VmaLb4VVYVMVO3s7CCXy7VaOtPS0rRaRAs4OjrqrG9oaAhbW9si6xS2TwAwMTGBiYmJVrmVlVW5+XKWZ1WrVuVx1gMeZ/3hsdYPHmf9KG/HmQ1M+lchR/0bGxvDx8cHsbGxGuWxsbHw9/fXuY2fn59W/X379sHX1xdGRkZF1ilsn0RERET06ipkiyoAhIeHY9CgQfD19YWfnx9WrlyJlJQU9byokydPxp07d7Bx40YAqhH+y5YtQ3h4OEaMGIGTJ09izZo1GqP5x40bh1atWuGLL75Ajx49sGPHDuzfvx/Hjh0T5TMSERERVWQVNlHt168fMjIyEBkZCYVCAU9PT8TExMDV1RUAoFAoNOZUdXd3R0xMDMLCwvD111/D2dkZS5cuRZ8+fdR1/P39sXnzZkyZMgVTp05FnTp1sGXLFrRo0aLYcZmYmGD69Ok6uwNQ6eFx1g8eZ/3hsdYPHmf94HGm4qqQ01MRERERUflXIfuoEhEREVH5x0SViIiIiCSJiSoRERERSRITVSIiIiKSJCaqehYdHQ13d3eYmprCx8cHR48eFTukcisqKgpvvvkmqlSpgurVq6Nnz564cuWKRh1BEDBjxgw4OzvDzMwMbdq0wR9//CFSxBVDVFQUZDIZQkND1WU8zqXnzp07GDhwIGxtbWFubo6mTZsiLi5OvZ7H+vXl5eVhypQpcHd3h5mZGWrXro3IyEjk5+er6/A4l9zvv/+Obt26wdnZGTKZDNu3b9dYX5xjmpOTg48//hh2dnawsLBA9+7d8ddff+nxU5DUMFHVoy1btiA0NBQRERGIj49Hy5Yt0alTJ41psqj4jhw5gtGjR+N///sfYmNjkZeXh8DAQDx+/FhdZ968eVi4cCGWLVuGM2fOwNHRER06dMDDhw9FjLz8OnPmDFauXInGjRtrlPM4l45//vkHAQEBMDIywm+//YbLly9jwYIFsLa2VtfhsX59X3zxBVasWIFly5YhMTER8+bNw5dffomvvvpKXYfHueQeP36MJk2aYNmyZTrXF+eYhoaG4pdffsHmzZtx7NgxPHr0CF27doVSqdTXxyCpEUhvmjdvLoSEhGiUNWjQQJg0aZJIEVUsaWlpAgDhyJEjgiAIQn5+vuDo6Ch8/vnn6jpPnz4VrKyshBUrVogVZrn18OFD4Y033hBiY2OF1q1bC+PGjRMEgce5NE2cOFF46623Cl3PY106unTpIgwdOlSjrHfv3sLAgQMFQeBxLg0AhF9++UW9XJxj+uDBA8HIyEjYvHmzus6dO3cEAwMDYc+ePXqLnaSFLap6kpubi7i4OAQGBmqUBwYG4sSJEyJFVbFkZmYCAGxsbAAASUlJSE1N1TjmJiYmaN26NY/5Kxg9ejS6dOmC9u3ba5TzOJeenTt3wtfXF++++y6qV6+OZs2aYdWqVer1PNal46233sKBAwdw9epVAMD58+dx7NgxdO7cGQCPc1kozjGNi4vDs2fPNOo4OzvD09OTx70Sq7BPppKa9PR0KJVKODg4aJQ7ODggNTVVpKgqDkEQEB4ejrfeeguenp4AoD6uuo75rVu39B5jebZ582acO3cOZ86c0VrH41x6bt68ieXLlyM8PByfffYZTp8+jbFjx8LExASDBw/msS4lEydORGZmJho0aAC5XA6lUok5c+ZgwIABAHhOl4XiHNPU1FQYGxujWrVqWnV4nay8mKjqmUwm01gWBEGrjEpuzJgxuHDhAo4dO6a1jsf89dy+fRvjxo3Dvn37YGpqWmg9HufXl5+fD19fX8ydOxcA0KxZM/zxxx9Yvnw5Bg8erK7HY/16tmzZgk2bNuH7779Ho0aNkJCQgNDQUDg7OyM4OFhdj8e59L3KMeVxr9x4619P7OzsIJfLtf4qTEtL0/oLk0rm448/xs6dO3Ho0CHUrFlTXe7o6AgAPOavKS4uDmlpafDx8YGhoSEMDQ1x5MgRLF26FIaGhupjyeP8+pycnNCwYUONMg8PD/WAS57TpePTTz/FpEmT0L9/f3h5eWHQoEEICwtDVFQUAB7nslCcY+ro6Ijc3Fz8888/hdahyoeJqp4YGxvDx8cHsbGxGuWxsbHw9/cXKaryTRAEjBkzBtu2bcPBgwfh7u6usd7d3R2Ojo4axzw3NxdHjhzhMS+Bdu3a4eLFi0hISFC/fH198f777yMhIQG1a9fmcS4lAQEBWlOsXb16Fa6urgB4TpeW7OxsGBhoXv7kcrl6eioe59JXnGPq4+MDIyMjjToKhQKXLl3ica/MRBvGVQlt3rxZMDIyEtasWSNcvnxZCA0NFSwsLITk5GSxQyuXRo0aJVhZWQmHDx8WFAqF+pWdna2u8/nnnwtWVlbCtm3bhIsXLwoDBgwQnJychKysLBEjL/+eH/UvCDzOpeX06dOCoaGhMGfOHOHatWvCd999J5ibmwubNm1S1+Gxfn3BwcFCjRo1hN27dwtJSUnCtm3bBDs7O2HChAnqOjzOJffw4UMhPj5eiI+PFwAICxcuFOLj44Vbt24JglC8YxoSEiLUrFlT2L9/v3Du3Dnh7bffFpo0aSLk5eWJ9bFIZExU9ezrr78WXF1dBWNjY8Hb21s9lRKVHACdr3Xr1qnr5OfnC9OnTxccHR0FExMToVWrVsLFixfFC7qCeDFR5XEuPbt27RI8PT0FExMToUGDBsLKlSs11vNYv76srCxh3LhxQq1atQRTU1Ohdu3aQkREhJCTk6Ouw+NccocOHdL5f3JwcLAgCMU7pk+ePBHGjBkj2NjYCGZmZkLXrl2FlJQUET4NSYVMEARBnLZcIiIiIqLCsY8qEREREUkSE1UiIiIikiQmqkREREQkSUxUiYiIiEiSmKgSERERkSQxUSUiIiIiSWKiSkRERESSxESViIiIiCSJiSoRlVibNm0QGhpa7PrJycmQyWRISEgos5ikYsiQIejZs2eZ7X/GjBlo2rRpme2fiEhK+GQqogpMJpMVuT44OBjr168v8X7v378PIyMjVKlSpVj1lUol7t27Bzs7OxgaGpb4/fRlyJAhePDgAbZv3/7K+8jMzIQgCLC2ti61uJ736NEj5OTkwNbWtkz2Xx60adMGTZs2xeLFi8UOhYjKmHSvGET02hQKhfrnLVu2YNq0abhy5Yq6zMzMTKP+s2fPYGRk9NL92tjYlCgOuVwOR0fHEm1TXllZWZXp/i0tLWFpaVmm7/Gqinv+EBEVF2/9E1Vgjo6O6peVlRVkMpl6+enTp7C2tsaPP/6INm3awNTUFJs2bUJGRgYGDBiAmjVrwtzcHF5eXvjhhx809vvirX83NzfMnTsXQ4cORZUqVVCrVi2sXLlSvf7FW/+HDx+GTCbDgQMH4OvrC3Nzc/j7+2sk0QAwe/ZsVK9eHVWqVMHw4cMxadKkIm97//PPP3j//fdhb28PMzMzvPHGG1i3bp16/Z07d9CvXz9Uq1YNtra26NGjB5KTkwGobqlv2LABO3bsgEwmg0wmw+HDh3W+z88//wwvLy+YmZnB1tYW7du3x+PHjwFo3vov+Nwvvtq0aaPe14kTJ9CqVSuYmZnBxcUFY8eOVe9Llxdv/Re83/z58+Hk5ARbW1uMHj0az549e+k+vvnmG7i4uMDc3BzvvvsuHjx4oFFv3bp18PDwgKmpKRo0aIDo6Gj1uoLP9uL5AwBr165Fo0aNYGJiAicnJ4wZM0a9XWZmJkaOHInq1aujatWqePvtt3H+/Hmt2L799lu4ubnBysoK/fv3x8OHD9Wf98iRI1iyZIn6eBb8Domo4mGiSlTJTZw4EWPHjkViYiKCgoLw9OlT+Pj4YPfu3bh06RJGjhyJQYMG4dSpU0XuZ8GCBfD19UV8fDw++ugjjBo1Cn/++WeR20RERGDBggU4e/YsDA0NMXToUPW67777DnPmzMEXX3yBuLg41KpVC8uXLy9yf1OnTsXly5fx22+/ITExEcuXL4ednR0AIDs7G23btoWlpSV+//13HDt2DJaWlujYsSNyc3Mxfvx49O3bFx07doRCoYBCoYC/v7/WeygUCgwYMABDhw5FYmIiDh8+jN69e0NXLyoXFxf1vhQKBeLj42Fra4tWrVoBAC5evIigoCD07t0bFy5cwJYtW3Ds2DGNxK44Dh06hBs3buDQoUPYsGED1q9f/9IuHdevX8ePP/6IXbt2Yc+ePUhISMDo0aPV61etWoWIiAjMmTMHiYmJmDt3LqZOnYoNGzZo7OfF82f58uUYPXo0Ro4ciYsXL2Lnzp2oW7cuAEAQBHTp0gWpqamIiYlBXFwcvL290a5dO9y/f1+9zxs3bmD79u3YvXs3du/ejSNHjuDzzz8HACxZsgR+fn4YMWKE+ri6uLiU6HgRUTkiEFGlsG7dOsHKykq9nJSUJAAQFi9e/NJtO3fuLHzyySfq5datWwvjxo1TL7u6ugoDBw5UL+fn5wvVq1cXli9frvFe8fHxgiAIwqFDhwQAwv79+9Xb/PrrrwIA4cmTJ4IgCEKLFi2E0aNHa8QREBAgNGnSpNA4u3XrJnzwwQc6161Zs0aoX7++kJ+fry7LyckRzMzMhL179wqCIAjBwcFCjx49Cj8QgiDExcUJAITk5GSd6wvbx5MnT4QWLVoIXbt2FZRKpSAIgjBo0CBh5MiRGvWOHj0qGBgYqI/Di6ZPn65xDIKDgwVXV1chLy9PXfbuu+8K/fr1K/QzTJ8+XZDL5cLt27fVZb/99ptgYGAgKBQKQRAEwcXFRfj+++81tps1a5bg5+cnCELh54+zs7MQERGh830PHDggVK1aVXj69KlGeZ06dYRvvvlGHZu5ubmQlZWlXv/pp58KLVq0UC+/eP4RUcXFPqpElZyvr6/GslKpxOeff44tW7bgzp07yMnJQU5ODiwsLIrcT+PGjdU/F3QxSEtLK/Y2Tk5OAIC0tDTUqlULV65cwUcffaRRv3nz5jh48GCh+xs1ahT69OmDc+fOITAwED179lS3isbFxeH69etaA8CePn2KGzduFBnn85o0aYJ27drBy8sLQUFBCAwMxDvvvINq1aoVud2wYcPw8OFDxMbGwsDAQCOm7777Tl1PEATk5+cjKSkJHh4exYqpUaNGkMvl6mUnJydcvHixyG1q1aqFmjVrqpf9/PyQn5+PK1euQC6X4/bt2xg2bBhGjBihrpOXl6fVB/f58yctLQ13795Fu3btdL5nXFwcHj16pDUQ7MmTJxq/Azc3N43fk5OT00vPJSKqmJioElVyLyagCxYswKJFi7B48WJ4eXnBwsICoaGhyM3NLXI/Lw6ikclkyM/PL/Y2BTMUPL/Ni7MWCC+ZpKRTp064desWfv31V+zfvx/t2rXD6NGjMX/+fOTn58PHx0cjKSxgb29f5H6fJ5fLERsbixMnTmDfvn346quvEBERgVOnTsHd3V3nNrNnz8aePXtw+vRpjQQsPz8fH374IcaOHau1Ta1atYod06sc+xcVHOvnt121ahVatGihUe/5hBjQPH9eHJz3ovz8fDg5Oens+/v8LAml8XmIqGJgokpEGo4ePYoePXpg4MCBAFTJxbVr14rdulda6tevj9OnT2PQoEHqsrNnz750O3t7ewwZMgRDhgxBy5Yt8emnn2L+/Pnw9vbGli1b1IN4dDE2NoZSqXzpe8hkMgQEBCAgIADTpk2Dq6srfvnlF4SHh2vV3bp1KyIjI/Hbb7+hTp06Guu8vb3xxx9/qPtw6lNKSgru3r0LZ2dnAMDJkydhYGCAevXqwcHBATVq1MDNmzfx/vvvF3ufVapUgZubGw4cOIC2bdtqrff29kZqaioMDQ3h5ub2yrEX9/dEROUfB1MRkYa6deuqWwwTExPx4YcfIjU1Ve9xfPzxx1izZg02bNiAa9euYfbs2bhw4UKRc8NOmzYNO3bswPXr1/HHH39g9+7d6gT7/fffh52dHXr06IGjR48iKSkJR44cwbhx4/DXX38BUN1yvnDhAq5cuYL09HSdI+dPnTqFuXPn4uzZs0hJScG2bdtw7949nYn8pUuXMHjwYEycOBGNGjVCamoqUlNT1QOHJk6ciJMnT2L06NFISEjAtWvXsHPnTnz88celcQiLZGpqiuDgYJw/fx5Hjx7F2LFj0bdvX/U0YjNmzEBUVBSWLFmCq1ev4uLFi1i3bh0WLlxY5H5nzJiBBQsWYOnSpbh27RrOnTuHr776CgDQvn17+Pn5oWfPnti7dy+Sk5Nx4sQJTJkypVh/hBRwc3PDqVOnkJycjPT0dLa2ElVgTFSJSMPUqVPh7e2NoKAgtGnTBo6OjmX6pKXCvP/++5g8eTLGjx8Pb29vJCUlYciQITA1NS10G2NjY0yePBmNGzdGq1atIJfLsXnzZgCAubk5fv/9d9SqVQu9e/eGh4cHhg4diidPnqhbWEeMGIH69evD19cX9vb2OH78uNZ7VK1aFb///js6d+6MevXqYcqUKViwYAE6deqkVffs2bPIzs7G7Nmz4eTkpH717t0bgKqP7pEjR3Dt2jW0bNkSzZo1w9SpU9X9dctS3bp10bt3b3Tu3BmBgYHw9PTUmH5q+PDhWL16NdavXw8vLy+0bt0a69evL7R7Q4Hg4GAsXrwY0dHRaNSoEbp27Ypr164BULVEx8TEoFWrVhg6dCjq1auH/v37Izk5GQ4ODsWOffz48ZDL5WjYsCHs7e2RkpLyageBiCSPT6YionKjQ4cOcHR0xLfffit2KOXajBkzsH379krxSFsiKt/YR5WIJCk7OxsrVqxAUFAQ5HI5fvjhB+zfvx+xsbFih0ZERHrCRJWIJKngNvHs2bORk5OD+vXrY+vWrWjfvr3YoRERkZ7w1j8RERERSRIHUxERERGRJDFRJSIiIiJJYqJKRERERJLERJWIiIiIJImJKhERERFJEhNVIiIiIpIkJqpEREREJElMVImIiIhIkv4fJ1d1jJw35bsAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_learning_curves(x_train_model, y_train_model, x_test_model, y_test_model, xgbClassifierModel)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ba5df166",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "18586709",
   "metadata": {},
   "source": [
    "##### ● Evaluate the performance of the tuned XGBoost classifier on the testing set using accuracy, precision, recall, and F1-score"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "6e7913fe",
   "metadata": {},
   "outputs": [],
   "source": [
    "# make predictions for test data  \n",
    "y_pred_XGBClassifier = xgbClassifierModel.predict(x_test_model)  \n",
    "modelNameInfo.append(\"XGB Classifier\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "fd875761",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy:  0.887988209285188\n"
     ]
    }
   ],
   "source": [
    "# evaluating predictions  \n",
    "accuracy_xgbClassifier = accuracy_score(y_test_model,y_pred_XGBClassifier)  \n",
    "print(\"Accuracy: \",(accuracy_xgbClassifier)) \n",
    "accuracyScoreList.append(round((accuracy_xgbClassifier * 100.0),2))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "42857136",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Recall:  0.3618421052631579\n"
     ]
    }
   ],
   "source": [
    "recall_xgbClassifier = recall_score(y_test_model,y_pred_XGBClassifier)  \n",
    "print(\"Recall: \",recall_xgbClassifier ) \n",
    "recallScoreList.append(recall_xgbClassifier)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "ee4dacf2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Precision:  0.5\n"
     ]
    }
   ],
   "source": [
    "precision_xgbClassifier = precision_score(y_test_model,y_pred_XGBClassifier)  \n",
    "print(\"Precision: \",precision_xgbClassifier ) \n",
    "precisionScoreList.append(precision_xgbClassifier)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "4e6f6f8e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "F1 Score:  0.4198473282442748\n"
     ]
    }
   ],
   "source": [
    "f1_score_xgbClassifier = f1_score(y_test_model,y_pred_XGBClassifier)  \n",
    "print(\"F1 Score: \",f1_score_xgbClassifier ) \n",
    "f1ScoreList.append(f1_score_xgbClassifier)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f83e3c39",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "ecae7075",
   "metadata": {},
   "source": [
    "##### ● Create a visualization of all the three algorithms accuracy with respect to there accuracy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "45386703",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+----------------+----------------+--------------------+---------------------+---------------------+\n",
      "|     Model      | Accuracy Score |  Precision Score   |     Recall Score    |       F1 Score      |\n",
      "+----------------+----------------+--------------------+---------------------+---------------------+\n",
      "| Decision Tree  |     86.96      | 0.4342105263157895 | 0.42038216560509556 | 0.42718446601941745 |\n",
      "| Random Forest  |     89.02      | 0.2236842105263158 |  0.5230769230769231 | 0.31336405529953915 |\n",
      "| XGB Classifier |      88.8      |        0.5         |  0.3618421052631579 |  0.4198473282442748 |\n",
      "+----------------+----------------+--------------------+---------------------+---------------------+\n"
     ]
    }
   ],
   "source": [
    "modelPerformanceTable = PrettyTable([\"Model\", \"Accuracy Score\", \"Precision Score\", \"Recall Score\", \"F1 Score\"])\n",
    "for i in range(0,3):\n",
    "    modelPerformanceTable.add_row([modelNameInfo[i],accuracyScoreList[i], precisionScoreList[i],  recallScoreList[i], f1ScoreList[i]])\n",
    "    \n",
    "# Printing the tabulated list\n",
    "print(modelPerformanceTable)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "d120cf8c",
   "metadata": {},
   "outputs": [],
   "source": [
    "#plt.bar(modelNameInfo,accuracyScoreList)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "f69790c6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 700x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(7,5))\n",
    "ax = fig.add_axes([0,0,1,1])\n",
    "ax.bar(modelNameInfo,accuracyScoreList)\n",
    "ax.set_ylabel('Accuracy Score',fontsize= 12)\n",
    "ax.set_xlabel('Model',fontsize= 12)\n",
    "ax.set_title('Display accuracy score of three models')\n",
    "for i, v in enumerate(accuracyScoreList):\n",
    "    ax.text( i ,v + 1, str(v), color='black')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "eb2d81a4",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d270b89d",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "eb395dee",
   "metadata": {},
   "outputs": [],
   "source": [
    "lr_probas = DecisionTreeClassifier().fit(x_train_model, y_train_model).predict_proba(x_test_model)\n",
    "rf_probas = RandomForestClassifier().fit(x_train_model, y_train_model).predict_proba(x_test_model)\n",
    "gb_probas = XGBClassifier().fit(x_train_model, y_train_model).predict_proba(x_test_model)\n",
    "\n",
    "probas_list = [lr_probas, rf_probas, gb_probas]\n",
    "clf_names = ['Decision Tree ', 'Random Forest', 'XGB Classifier']"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f4a2eb76",
   "metadata": {},
   "source": [
    "The calibration curve is suitable for comparing the performance of various models as well as understanding which threshold value for deciding class label is leading to model overfit or underfit. The points in various model lines which are above way above-dashed line have overfitted and one below the dashed line has under fitted. We need a model where points are mostly near the dashed linem\n",
    "\n",
    "\n",
    "#### Thus according to the calibration curve, random forest and Xgb classifier are most suitable models for deciding class label as its curve is near to the perfect curve, however their accuracy value gets  interchange after every run...."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "id": "1e19492b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "skplt.metrics.plot_calibration_curve(y_test_model,\n",
    "                                     probas_list,\n",
    "                                     clf_names, n_bins=15,\n",
    "                                     figsize=(12,6)\n",
    "                                     );"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f665071c",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "482d7460",
   "metadata": {},
   "source": [
    "#####  bar chart plot depicting the importance of features for various ML models."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "5c30fd0e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x600 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "fig = plt.figure(figsize=(15,6))\n",
    "\n",
    "ax1 = fig.add_subplot(131)\n",
    "skplt.estimators.plot_feature_importances(decisionTreeObj, feature_names=BankDataFrame.columns,\n",
    "                                         title=\"Decision Tree Feature Importance\",\n",
    "                                         x_tick_rotation=90, order=\"ascending\",\n",
    "                                         ax=ax1);\n",
    "\n",
    "ax2 = fig.add_subplot(132)\n",
    "skplt.estimators.plot_feature_importances(randomForestObject, feature_names=BankDataFrame.columns,\n",
    "                                         title=\"Random Forest Regressor Feature Importance\",\n",
    "                                         x_tick_rotation=90, order=\"ascending\",\n",
    "                                         ax=ax2);\n",
    "\n",
    "\n",
    "ax3 = fig.add_subplot(133)\n",
    "skplt.estimators.plot_feature_importances(xgbClassifierModel, feature_names=BankDataFrame.columns,\n",
    "                                         title=\"XGB Classifier Feature Importance\",\n",
    "                                         x_tick_rotation=90,\n",
    "                                         ax=ax3);\n",
    "\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5fdf3393",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "e00d3fd4",
   "metadata": {},
   "source": [
    "#### The accuracy score will help us to find the performance of different models...\n",
    "#### The model with higher accuracy score will perform much better than others... \n",
    "#### I have display the accuracy score for different models.. to compare them"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "id": "5aed6266",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Accuracy of Decision Tree, Random Forest, and XGB Classifier\n",
      "\n",
      "* Accuracy Decision Tree:: 86.96%\n",
      "* Accuracy Random Forest: 89.02%\n",
      "* Accuracy XGB Classifier: 88.80%\n"
     ]
    }
   ],
   "source": [
    "print(\"\\nAccuracy of Decision Tree, Random Forest, and XGB Classifier\\n\")\n",
    "print(\"* Accuracy Decision Tree:: %.2f%%\" % (accuracy_dec_tree_model * 100.0))\n",
    "print(\"* Accuracy Random Forest: %.2f%%\" % (accuracy_score_random_forest * 100.0))\n",
    "print(\"* Accuracy XGB Classifier: %.2f%%\" % (accuracy_xgbClassifier * 100.0))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7ef24e74",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "21be05e7",
   "metadata": {},
   "source": [
    "### Conclusion "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fe237e73",
   "metadata": {},
   "source": [
    "#### Comparing these three models, i have concluded that the Random forest classifier with accuracy score of 90% is the best model to be able to predict whether or not a customer will subscribe to a term deposit  from Bank Marketing dataset. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "065bea71",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c32968ca",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "03a66c11",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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