{
 "cells": [
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Regularized Linear Models"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Imports"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "import matplotlib\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "from scipy.stats import skew\n",
    "from scipy.stats import pearsonr\n",
    "\n",
    "\n",
    "%config InlineBackend.figure_format = 'retina' #set 'png' here when working on notebook\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import requests\n",
    "import zipfile\n",
    "train_url = \"https://static-1300131294.cos.ap-shanghai.myqcloud.com/data/ml-advanced/model-selection/Regularized-Linear-Models/train.csv\"\n",
    "test_url = \"https://static-1300131294.cos.ap-shanghai.myqcloud.com/data/ml-advanced/model-selection/Regularized-Linear-Models/test.csv\"\n",
    "\n",
    "notebook_path = os.getcwd()\n",
    "\n",
    "tmp_folder_path = os.path.join(notebook_path, \"tmp\")\n",
    "\n",
    "if not os.path.exists(tmp_folder_path):\n",
    "    os.makedirs(tmp_folder_path)\n",
    "\n",
    "file_path = os.path.join(tmp_folder_path,\"regularized-linear-models\")\n",
    "\n",
    "if not os.path.exists(file_path):\n",
    "    os.makedirs(file_path)\n",
    "\n",
    "zip_store_path = os.path.join(file_path, \"zip-store\")\n",
    "\n",
    "if not os.path.exists(zip_store_path):\n",
    "    os.makedirs(zip_store_path)\n",
    "\n",
    "train_response = requests.get(train_url)\n",
    "test_response = requests.get(test_url)\n",
    "\n",
    "train_name = os.path.basename(train_url)\n",
    "test_name = os.path.basename(test_url)\n",
    "\n",
    "train_save_path = os.path.join(file_path, train_name)\n",
    "test_save_path = os.path.join(file_path, test_name)\n",
    "\n",
    "with open(train_save_path, \"wb\") as file:\n",
    "    file.write(train_response.content)\n",
    "    \n",
    "with open(test_save_path, \"wb\") as file:\n",
    "    file.write(test_response.content)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "train = pd.read_csv(\"./tmp/regularized-linear-models/train.csv\")\n",
    "test = pd.read_csv(\"./tmp/regularized-linear-models/test.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Id</th>\n",
       "      <th>MSSubClass</th>\n",
       "      <th>MSZoning</th>\n",
       "      <th>LotFrontage</th>\n",
       "      <th>LotArea</th>\n",
       "      <th>Street</th>\n",
       "      <th>Alley</th>\n",
       "      <th>LotShape</th>\n",
       "      <th>LandContour</th>\n",
       "      <th>Utilities</th>\n",
       "      <th>...</th>\n",
       "      <th>PoolArea</th>\n",
       "      <th>PoolQC</th>\n",
       "      <th>Fence</th>\n",
       "      <th>MiscFeature</th>\n",
       "      <th>MiscVal</th>\n",
       "      <th>MoSold</th>\n",
       "      <th>YrSold</th>\n",
       "      <th>SaleType</th>\n",
       "      <th>SaleCondition</th>\n",
       "      <th>SalePrice</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>60</td>\n",
       "      <td>RL</td>\n",
       "      <td>65.0</td>\n",
       "      <td>8450</td>\n",
       "      <td>Pave</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Reg</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2008</td>\n",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "      <td>208500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>20</td>\n",
       "      <td>RL</td>\n",
       "      <td>80.0</td>\n",
       "      <td>9600</td>\n",
       "      <td>Pave</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Reg</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>2007</td>\n",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "      <td>181500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>60</td>\n",
       "      <td>RL</td>\n",
       "      <td>68.0</td>\n",
       "      <td>11250</td>\n",
       "      <td>Pave</td>\n",
       "      <td>NaN</td>\n",
       "      <td>IR1</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "      <td>2008</td>\n",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "      <td>223500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>70</td>\n",
       "      <td>RL</td>\n",
       "      <td>60.0</td>\n",
       "      <td>9550</td>\n",
       "      <td>Pave</td>\n",
       "      <td>NaN</td>\n",
       "      <td>IR1</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2006</td>\n",
       "      <td>WD</td>\n",
       "      <td>Abnorml</td>\n",
       "      <td>140000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>60</td>\n",
       "      <td>RL</td>\n",
       "      <td>84.0</td>\n",
       "      <td>14260</td>\n",
       "      <td>Pave</td>\n",
       "      <td>NaN</td>\n",
       "      <td>IR1</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>12</td>\n",
       "      <td>2008</td>\n",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "      <td>250000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 81 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Id  MSSubClass MSZoning  LotFrontage  LotArea Street Alley LotShape  \\\n",
       "0   1          60       RL         65.0     8450   Pave   NaN      Reg   \n",
       "1   2          20       RL         80.0     9600   Pave   NaN      Reg   \n",
       "2   3          60       RL         68.0    11250   Pave   NaN      IR1   \n",
       "3   4          70       RL         60.0     9550   Pave   NaN      IR1   \n",
       "4   5          60       RL         84.0    14260   Pave   NaN      IR1   \n",
       "\n",
       "  LandContour Utilities  ... PoolArea PoolQC Fence MiscFeature MiscVal MoSold  \\\n",
       "0         Lvl    AllPub  ...        0    NaN   NaN         NaN       0      2   \n",
       "1         Lvl    AllPub  ...        0    NaN   NaN         NaN       0      5   \n",
       "2         Lvl    AllPub  ...        0    NaN   NaN         NaN       0      9   \n",
       "3         Lvl    AllPub  ...        0    NaN   NaN         NaN       0      2   \n",
       "4         Lvl    AllPub  ...        0    NaN   NaN         NaN       0     12   \n",
       "\n",
       "  YrSold  SaleType  SaleCondition  SalePrice  \n",
       "0   2008        WD         Normal     208500  \n",
       "1   2007        WD         Normal     181500  \n",
       "2   2008        WD         Normal     223500  \n",
       "3   2006        WD        Abnorml     140000  \n",
       "4   2008        WD         Normal     250000  \n",
       "\n",
       "[5 rows x 81 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "all_data = pd.concat((train.loc[:,'MSSubClass':'SaleCondition'],\n",
    "                      test.loc[:,'MSSubClass':'SaleCondition']))"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data preprocessing: "
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We're not going to do anything fancy here: \n",
    " \n",
    "* First I'll transform the skewed numeric features by taking log(feature + 1) - this will make the features more normal    \n",
    "* Create Dummy variables for the categorical features    \n",
    "* Replace the numeric missing values (NaN's) with the mean of their respective columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[<Axes: title={'center': 'price'}>,\n",
       "        <Axes: title={'center': 'log(price + 1)'}>]], dtype=object)"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1200x600 with 2 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 527,
       "width": 986
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "matplotlib.rcParams['figure.figsize'] = (12.0, 6.0)\n",
    "prices = pd.DataFrame({\"price\":train[\"SalePrice\"], \"log(price + 1)\":np.log1p(train[\"SalePrice\"])})\n",
    "prices.hist()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "log transform the target:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "train[\"SalePrice\"] = np.log1p(train[\"SalePrice\"])"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "log transform skewed numeric features:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "numeric_feats = all_data.dtypes[all_data.dtypes != \"object\"].index\n",
    "\n",
    "skewed_feats = train[numeric_feats].apply(lambda x: skew(x.dropna())) #compute skewness\n",
    "skewed_feats = skewed_feats[skewed_feats > 0.75]\n",
    "skewed_feats = skewed_feats.index\n",
    "\n",
    "all_data[skewed_feats] = np.log1p(all_data[skewed_feats])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "all_data = pd.get_dummies(all_data)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "filling NA's with the mean of the column:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "all_data = all_data.fillna(all_data.mean())"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Note that above I use all the data to compute the mean value that is then used for imputation. This is a flawed approach since it introduces some minor data leakage. However I decided to leave it here like this to showcase some common mistakes we all make :)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "creating matrices for sklearn:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train = all_data[:train.shape[0]]\n",
    "X_test = all_data[train.shape[0]:]\n",
    "y = train.SalePrice"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Models\n",
    "\n",
    "Now we are going to use regularized linear regression models from the scikit learn module. I'm going to try both l_1(Lasso) and l_2(Ridge) regularization. I'll also define a function that returns the cross-validation rmse error so we can evaluate our models and pick the best tuning par"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.linear_model import Ridge, RidgeCV, ElasticNet, LassoCV, LassoLarsCV\n",
    "from sklearn.model_selection import cross_val_score\n",
    "\n",
    "def rmse_cv(model):\n",
    "    rmse= np.sqrt(-cross_val_score(model, X_train, y, scoring=\"neg_mean_squared_error\", cv = 5))\n",
    "    return(rmse)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "model_ridge = Ridge()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The main tuning parameter for the Ridge model is alpha - a regularization parameter that measures how flexible our model is. The higher the regularization the less prone our model will be to overfit. However it will also lose flexibility and might not capture all of the signal in the data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "alphas = [0.05, 0.1, 0.3, 1, 3, 5, 10, 15, 30, 50, 75]\n",
    "cv_ridge = [rmse_cv(Ridge(alpha = alpha)).mean() \n",
    "            for alpha in alphas]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'rmse')"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 546,
       "width": 1018
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "cv_ridge = pd.Series(cv_ridge, index = alphas)\n",
    "cv_ridge.plot(title = \"Validation - Just Do It\")\n",
    "plt.xlabel(\"alpha\")\n",
    "plt.ylabel(\"rmse\")"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Note the U-ish shaped curve above. When alpha is too large the regularization is too strong and the model cannot capture all the complexities in the data. If however we let the model be too flexible (alpha small) the model begins to overfit. A value of alpha = 10 is about right based on the plot above."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.12733734668670776"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cv_ridge.min()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "So for the Ridge regression we get a rmsle of about 0.127\n",
    "\n",
    "Let' try out the Lasso model. We will do a slightly different approach here and use the built in Lasso CV to figure out the best alpha for us. For some reason the alphas in Lasso CV are really the inverse or the alphas in Ridge."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "model_lasso = LassoCV(alphas = [1, 0.1, 0.001, 0.0005]).fit(X_train, y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.1225673588504812"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rmse_cv(model_lasso).mean()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Nice! The lasso performs even better so we'll just use this one to predict on the test set. Another neat thing about the Lasso is that it does feature selection for you - setting coefficients of features it deems unimportant to zero. Let's take a look at the coefficients:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "coef = pd.Series(model_lasso.coef_, index = X_train.columns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Lasso picked 110 variables and eliminated the other 178 variables\n"
     ]
    }
   ],
   "source": [
    "print(\"Lasso picked \" + str(sum(coef != 0)) + \" variables and eliminated the other \" +  str(sum(coef == 0)) + \" variables\")"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Good job Lasso.  One thing to note here however is that the features selected are not necessarily the \"correct\" ones - especially since there are a lot of collinear features in this dataset. One idea to try here is run Lasso a few times on boostrapped samples and see how stable the feature selection is."
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can also take a look directly at what the most important coefficients are:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "imp_coef = pd.concat([coef.sort_values().head(10),\n",
    "                     coef.sort_values().tail(10)])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Coefficients in the Lasso Model')"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAABloAAAaGCAYAAADWMWIvAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy88F64QAAAACXBIWXMAAB7CAAAewgFu0HU+AAEAAElEQVR4nOzdeXhMZ//H8c8QScQeYgkhKKr2vaqKai1BH0vR1hZ7FVWeLqglqo+l1aL2FlVra62l1L7vBLXWGkKC2ElCIpnfH7nm/GYkM0lGIrTv13XN9cycc5/v+Z47M+Pp+c593yaz2WwWAAAAAAAAAAAAki1dWicAAAAAAAAAAADwoqLQAgAAAAAAAAAA4CQKLQAAAAAAAAAAAE6i0AIAAAAAAAAAAOAkCi0AAAAAAAAAAABOotACAAAAAAAAAADgJAotAAAAAAAAAAAATqLQAgAAAAAAAAAA4CQKLQAAAAAAAAAAAE6i0AIAAAAAAAAAAOAkCi0AAAAAAAAAAABOotACAAAAAAAAAADgJAotAAAAAAAAAAAATqLQAgAAAAAAAAAA4CQKLQAAAAAAAAAAAE6i0AIAAAAAAAAAAOAkCi0AAAAAAAAAAABOotACAAAAAAAAAADgJAotAAAAAAAAAAAATqLQAgAAACBVxcTEaMaMGapXr57y5MkjV1dXmUwmmUwm+fv7x2t/69YtffXVV6pWrZpy5Mih9OnTG+1nzZolSQoKCjK2+fr6pvo1BAQEGOcLCAhI9fP92/n7+8f7m/8T1K5d27iuLVu2pHU6wD/SrFmzHP4bk1r4fAPAvxuFFgAAAOAZunv3rn799Vd17txZ5cuXV/78+eXm5qYsWbKoYMGCevvttzVw4EDt3r07rVNNEVFRUapXr566dOmi9evX6/r164qOjrbbPigoSOXLl9fQoUO1b98+3blzR7Gxsc8wYwBJtWXLFuPGsslkSut0kADrIrHl0a9fv2TFWLVqVbwYtWvXTp2EAQB4QbmkdQIAAADAv0FERITGjRunMWPG6Pbt2/H2R0VF6cGDBwoODtaGDRs0cuRIFS9eXAEBAXrvvfde2JuY3333nTZt2mS8rlWrll566SW5u7tLkl599VWb9t27d1dwcLAkKWPGjHrrrbeUP39+pU+fXpJUsmTJZ5T5P5e/v79++eUXSdLPP//8TH/x/U9CP+JFNX/+fH3zzTdycUnaLaHZs2enckYAALz4KLQAAAAAqezSpUtq0qSJ/vrrL5vtBQsWVNmyZeXl5aWYmBhdvXpVR44c0bVr1yRJp0+f1gcffKDg4GB9/vnnaZH6U7PciLY8b9++vd22V69e1bp16yRJbm5uOnLkiIoVK5bqOQLAv8m1a9e0du1aNWrUKNG2d+/e1cqVK59BVgAAvNgotAAAAACpKCgoSNWrV9fVq1clSSaTSe+//74GDhyoUqVKxWtvNpt14MABTZgwQfPmzVNsbKwiIiKeddopIiIiQn///bckydXVVW3btnXYPjAw0Hhes2ZNh0UWX19fmc3mlEk0CQICAlib5RmaNWvWP2ptFuB58Morr+jEiROS4kapJKXQ8ttvv+nhw4fxjgcAALZYowUAAABIJVFRUWrZsqVRZHF3d9fSpUs1b968BIssUlwhpkqVKpo9e7aOHDmi0qVLP8uUU5T1FGl58uRRunSO//PDun2+fPlSLS8A+DcqU6aMypUrJ0lasWKF7t69m+gxllGJGTJk0Pvvv5+q+QEA8CKj0AIAAACkkm+++UYHDhwwXv/yyy9q2rRpko8vXbq09uzZo7fffjsVskt91oveJ1ZkcaY9ACB5OnToIEl6+PChFi5c6LDtuXPntGvXLkmSn5+fcuXKler5AQDwouK/XgAAAIBUEBkZqR9++MF43bx5c7Vq1SrZcTJlyqQaNWo4bHPp0iUNGTJEr776qvLkySNXV1flyZNHr776qoYOHWosLp8cJ0+e1MCBA1W1alUjppeXl6pVq6YhQ4YoJCTE7rEmk0kmk0mFCxc2tl28eNHYbnnUrl1bW7ZsMV537NjRaP/LL7/Ea289dVdQUJCx3dfXN0nXdO/ePU2YMEFNmjSRr6+vMmfOLDc3N3l7e6tu3boaNmyYjh8/nuCxAQEBCebhyP79+9W3b1+VL19eXl5ecnV1Vd68eVWrVi2NHj3aZgSPPb6+vsZ5g4KCJEmXL1/W4MGDVa5cOWXPnl2ZMmXSyy+/rN69e+vixYuJxrJeN6djx47x+tneNT548EBTp05Vo0aNVLBgQXl4eMjd3V0FChRQ+fLl1axZM02ePFlnz55NUv844u/vb+RibwqxhP4mjx8/1uzZs/XWW28pf/78cnNzU758+dS0aVOtWrXqqfOSnr4fn3Tr1i2NHj1aVapUUa5cuZQxY0YVKVJEnTt31rFjx5KVm9ls1rJly9ShQwcVL15c2bJlk7u7u3x8fNS0aVP98ssvevz4cXIv+Zm5ePGipkyZovfff1+lS5dWtmzZlCFDBuXMmVNly5ZVjx49tGfPniTHi46O1ty5c9W8eXMVKVLE5jNftmxZNWrUSN99912i/bx//3716tVLFStWVI4cOZQhQwZ5enqqePHiev3119WvXz+tXbtWkZGRieZ0/PhxffbZZ6pQoYJy5cpl5FO7dm2NHj1aN2/eTPL1OeODDz6Qi0vcLPKJLXJvvd/R+lqO7NmzR7169VKpUqWUI0cO4zujQYMGmjhxosLDw5MV7+TJk+rVq5eKFSsmDw8P5cqVS5UrV9bIkSN148YNp3KUUub7GgDwL2cGAAAAkOJmz55tlmQ8duzYkSrn+d///md2d3e3OdeTD3d3d/PIkSOTFO/hw4fmDz/80Jw+fXqHMTNmzGieMGFCgjEcHWf9qFWrlnnz5s1Jbj906FDjHBcuXDC2FypUKNHrmjJlijlHjhxJOs+aNWviHT906NAE80jIrVu3zC1atEj0PNmzZzcvWrTIYaxChQoZ7S9cuGBetmyZOVu2bA7/LqtWrUo0VnL62mw2m3ft2mXOnz9/ko+Pjo52eF2J6dChgxHr559/TrDNk3+Ty5cvm1977TWHeXXs2NEcExPzVLk9TT/WqlXL2Ld582bzjh07HPZr+vTpzT/++GOS8jpy5Ii5fPnyieZUokQJ8/Hjx5+qDyye/Pw+jU8//dRsMpmS1K/vv/++OTw83GG8v//+21yyZMkk/63OnDkTL0Z0dLS5W7duSY7x5Zdf2s0nOjra3Lt370S/W7Nnz26eNWvWU/WlNevPSevWrc1ms9ns5+dnlmQ2mUzmc+fOJXhcbGysuUiRImZJZk9PT/OjR4/MU6ZMMWLVqlXL4XkfPHhgbt26daJ9li9fPvPq1auTdC3jx483u7q6Ooy1Y8cO888//2xs69Chg8OYKfl9/eTnGwDw7xL3MwYAAAAAKWrTpk3G84IFCyY6KsUZvXr10qRJk4zXmTJl0ptvvqm8efPq6tWr2rx5sx48eKCHDx9qwIABunbtmsaOHWs3Xnh4uOrXr6+dO3ca2woXLqzKlSsrR44cun37tnbt2qUrV64oMjJSvXv31r179zRw4ECbOD179pQk3b9/3/hFdJYsWeL9IrpYsWLKnz+/0f7UqVPauHGjJOnll19W3bp1bdpXrVo1uV0kSfr44481YcIE43X69OlVpUoVFStWTO7u7goLC9Phw4eNESOWhZ+dcfXqVb355ps6efKksa1kyZIqX768smTJouvXr2vHjh26ceOG7ty5o1atWmnOnDlq06ZNorE3btyo7t27KyYmRgULFlT16tWVNWtWXbhwQVu2bNHjx48VGRmpVq1a6dixYzYjiqS4KYNu3rypjRs36tSpU5KkunXr6uWXX453Luu+Dg4OVv369XX//n1JcWs1VKlSRS+99JI8PDwUHh6uoKAgHTlyRPfu3XOq357WgwcP1KBBAx07dkweHh6qWbOmfHx8dP/+fW3evFnXr1+XJP38888qUaKEvvjiC6fP5Ww/PunYsWMaMGCAHjx4oNy5c6tmzZrKmTOnrly5ok2bNikyMlIxMTH68MMPVbp0aVWvXt1urG3btqlJkyZG/7u4uKhy5coqUaKEMmTIoKCgIO3YsUMPHz7U33//rddee027d+9WyZIlne6HlBYcHCyz2SyTyaQSJUqoRIkSypkzpzJkyKCbN2/q0KFDOnfunCRpwYIFunv3rlatWiWTyRQv1v379/XWW28Zo/nSpUunChUqqGTJksqcObMiIiJ05coVHTlyxOEoiE8//VQ//vij8Tp//vyqWrWqcuXKJbPZrJs3b+rEiRP6+++/HV5bbGysWrRooRUrVhjbPD09Vbt2bXl6eio4OFibN29WVFSU7ty5I39/f92+fVuffPJJcrowydq3b6/Vq1fLbDZrzpw5Gjp0aLw227dv1/nz5yVJrVu3lqura5LjR0RE6M0339S+ffuMbd7e3qpZs6YyZ86ss2fPaseOHYqJiVFoaKjeeecdLViwQO+++67dmJMmTVKfPn2M125ubqpTp44KFCigsLAwbdq0SaGhoWrcuHGS+y01v68BAP9CaVzoAQAAAP6RihYtavyytWXLlike/7fffrP5tW379u3Nd+/etWlz9+5dc9u2bW3aLV682G7M9u3bG+2KFi1qXr9+fbw2jx8/Nk+ePNns5uZm/OJ+165dCcZL7qiT5PwKOamxrX+BLcncqlUrc3BwcIJtjx49av7444/Na9eujbcvKSNaYmJizHXq1DHaVaxY0bx///547SIjI80BAQHGr/czZcpkPn/+fIIxrUdPuLm5mTNlymSeM2eOOTY21qbdsWPHbEZGdOzY0W6fJGW0iLU+ffoY7WvWrGm+cuVKgu2io6PNW7ZsMbdp08b8+PHjROM6ktwRLZb3Y4cOHcw3b960aRceHm5+//33jbaZM2c2P3jw4KnyS2qOT7L+xbubm5s5ffr05u+++y7eCKBLly6ZS5cubbStU6eO3ZihoaHmPHny2Iz2uHz5crx2V69eNTdr1sxoV6ZMmaf+O6XkiJZvvvnG/PPPP5vDwsLsttm2bZv5pZdeMs43Z86cBNuNHTvWaPPKK6+YT506lWC72NhY8759+8w9evQwX7p0yWZfWFiY2cXFxfiemzVrVrzPnUVISIj5hx9+ME+fPj3B/aNHj7bpp88//9z88OFDmzahoaHmevXqGW1cXFzMe/bssdsXSZXQiJbIyEhjZFzRokUTPK5z587Gcbt37zabzeYkj2jp0aOH0S59+vTm77//Pt5IstOnT5srVapktMuaNavd78FTp04Zn3FJ5rfeesscGhpq0+bevXvmdu3amSXZjHqx929JanxfM6IFAP7dKLQAAAAAqcByg06SOSAgIEVjx8TEmAsXLmzEb9Gihd0bgLGxseb//Oc/NgWUhKZO2rZtm9GmQIEC8W5iPWnmzJlG+wYNGiTYJq0LLbdu3TJnyZLFaPfhhx8mmoM9SSm0WE8XV758efP9+/cdxhwyZEiiuVkXWkwmU4LTmlmsWrXKpphgb/qu5BYIrG+GJjS9UmpIbqHFUmCwJzIy0uzj42O0/fXXX59Jjk+yvhEryTxt2jS7bY8ePWrc3DWZTOaQkJAE23Xq1MmI16VLF4fnf/z4sc3N5afth5QstCTVhQsXjOkSq1atmmAb66mgEioYJ8XKlSuNGG3atHE637t375ozZ85sxOrXr5/dtg8fPjRXqVIlSQW2pEqo0GI2m81du3Y1tj85taV1IaZ48eLG9qQUWs6ePWtOly6d0e6HH36wm9utW7fMvr6+iRaIrQulZcqUMUdERCTYLiYmxpgWLbF/S1Lj+5pCCwD8u6UTAAAAgBR17949mwWns2fPnqLx161bpwsXLkiSXF1dNWHChASnz5HiFqafNGmSMmTIIEk6d+6c1q9fH6/d999/bzwfOXKk8ubN6zAHf39/Y6qktWvXPtUixKnlxx9/NKa7KlSokMaNG5eq57PuwwkTJihz5swO2w8YMMB4byxYsECxsbEO2zdu3FgNGjSwu9/Pz8/4uz148MCY1uppWU8H5uXllSIxU5qrq6tN/z/J3d1d77//vvF6//79zyIth8qUKaNu3brZ3V+6dGlVqVJFkmQ2m3Xw4MF4bcLCwjRv3jxJUrZs2RxODSjFTZs3YsQI47Xl2BeJr6+v6tSpIynu75jQdHUp8Z5Nqff9/Pnz9eDBA0lSnjx59PXXX9tt6+bmpokTJxqvN2/enOi0ZM6ynsrRetF7Sfr999919+7deO2S4qeffjK+y8qWLatevXrZbZsjRw6NHj3aeD1//nzjvBa3b9/W0qVLjdfffvutMmbMmGC8dOnSafz48Xb/PbSW2t/XAIB/HwotAAAAQAqz3Ny3SOwGTnJZr//SsGFD5cuXz2H7/Pnz29yg37x5s83+x48fG8UXFxcXtWjRItEcTCaTcbPTbDZr165dSc7/Wfnzzz+N5127dpWbm1uqnSs0NFSHDx+WFNffr7/+eqLHuLu7G+tu3L17V8eOHXPYvmXLlg73m0wmlStXznhtWXPmaRUsWNB4br0m0PPk9ddfT7Q4WKFCBeN5SvXN00js7yklnvOGDRv06NEjSXGFuKR811SrVk0eHh6SpB07diQx22fr0qVLWrx4sUaMGKHPP/9cvXv3Vq9evYyHpdBsNpt15MiReMdbv2cnT57sVA7WMZYsWaKrV686Fcf6+/q9996zWySwqFq1qsqUKWO8fvL7OqW8/vrrKlKkiCRp4cKFxvtIkn755RdJcd8pbdu2TVZc6+vt2LFjokWPZs2aydPTU5L06NEj7d6922b/rl27jNzy5Mmjt99+22G8l156Sa+99prDNs/i+xoA8O/jktYJAAAAAP80WbJksXlt+TVzSjl06JDxvEaNGkk6pkaNGlq5cqUkKTAw0GbfX3/9pfDwcElxN5M+++yzJMW0HhVgWXT6ebJ3717juaUolFqsbw6azWaHv+K2ZlncW4rrw7Jly9pta33z1Z6cOXMaz5/8ZbizWrdurY0bN0qSvvzyS61bt05t2rTR22+/LV9f3xQ5x9NKq755GimRs/X77vTp00l+31luft++fVvh4eHKlClTko5Lbbt371b//v21fft2mc3mJB2T0Gi61q1ba8aMGZLiRrbt379fHTp0UP369Y2ReImpVq2aChUqpIsXLyo4OFilSpVShw4d1KRJE7366quJFkwsnP2+Pnr0qKT439cpqV27dho2bJju3LmjFStWqGXLlrp69apReK9Vq5YKFSqU5Hhms9koYEhJu94MGTKoatWqRmE8MDDQ5ocB1vGqVKmidOkS/73wq6++qp07d9rd/yy+rwEA/z4UWgAAAIAUljVrVrm4uBjTh925cydF44eFhRnPk3oTzPqG+JM3JkNCQoznDx48cGrUwu3bt5N9TGq6d++eIiMjjdeWX26nFus+DAkJSZU+zJYtW6IxLFPESVJ0dHSyc0hI586dtW7dOi1evFiStHXrVm3dulWS5O3trZo1a+rNN99Us2bN0mxqsbTqm6eREjlbv+/279/v1JRot2/ffi4KLTNnzlSXLl2SXGCxeHIEoSS9/fbb6tu3rzGV2qFDh4yCR65cuVSjRg3Vrl1bLVq0kI+PT4JxM2TIoLlz56pRo0a6d++ebt26pbFjx2rs2LFydXVVxYoV9cYbb6hRo0aqWbOm3ZEbKf19nZLat2+vYcOGSYqbPqxly5aaN2+eYmJijP3JcffuXZv3aUpcr3X/WY8ycsTe39TiWXxfAwD+fZg6DAAAAEgF1jeYTpw4kaKxrUfIJPUGqXW7J29MpsSv+63XpHkepPb0bU96Fn2YlHUHUkO6dOm0cOFCzZo1K94vuENCQvTbb7+pe/fu8vb2VpcuXXTr1q1nnmNa9c3TSImc/ymf3ZMnT6p79+5GkaVs2bL64YcftH//fl2/fl2RkZEym83Go0OHDsax9tbK+P7777VixYp400jduHFDy5cvV9++fVWoUCG1aNFCFy9eTDDG66+/riNHjqhTp04236FRUVHas2ePvvnmG9WqVUsvv/yyli1blmCMlP6+TklFihQxps36888/FRYWZqzX4uHhoXfffTdZ8Z4cvZkS12sd0zLlXXLiJeSf8rkBADxfKLQAAAAAqcB6znfrKaxSgnXRwDLlV2Ks2z05tZn1Tany5cvb3NBM6iMgIODpLiqFpfb0bU+y7sOmTZs61Yf+/v6pmuPTMJlM6tChg44cOaKzZ89qxowZ6tChg81IocePH2vGjBmqWrWqza/QkXqs33fjxo1z6n33PEz/NnbsWOPGtZ+fnw4cOKDevXurcuXK8vLykru7u037pBYfmjRpop07d+ry5cuaO3euunfvrldeecXYbzabtXTpUlWqVEmnT59OMIavr69mzJihsLAwbdiwQUOGDFGdOnVspg47ffq0mjdvbrPAukVKf1+nNMuolcePH+vzzz/XX3/9JSlu7ZTknvvJgnZKXK91zIiIiGTHS8g//fsaAJA2KLQAAAAAqeDNN980nl+8eDFFF4u3np7p0qVLSTrG+hfbuXLlstmXJ08e4/n58+ft/kL8RZI1a1abG6GWxbNTi3UfnjlzJlXPldaKFi2qTp06adasWTp37pxOnz6tTz/9VC4ucTNTnzt3zpiOCKnrn/K+s6wBJEnDhw+3mTItIfZGoNiTP39+tWnTRlOnTtXx48cVHBys4cOHGzfcb968qX79+jmMkTFjRtWtW1fDhg3Tpk2bdPPmTS1ZskTlypUz2gwYMEBXrlyxOS6lv69TWqtWrYxC1qxZs4ztyZ02TIqbDs/6b5cS1+tM/yW2Ztg/5XMDAHi+UGgBAAAAUkHLli1tbhgl9EtnZ1WoUMF4ntQCjvXCwBUrVrTZV758ebm5uUmKW9vEeqHgF1m1atWM55s2bUrVc7366qvG8+PHj+vy5cuper6nkdLTbBUrVkzffvutvvrqK2PbihUrUvQcz6PnYboy6/f42rVr0zCTp2O9ZkapUqUctr17964x6sJZBQoU0KBBg/TTTz8Z29atW6dHjx4lOUbGjBnVvHlzbd68WXnz5pUUN6XYk3+HlP6+TmnZsmXTO++8Y7PN29tbb731VrJjmUwmlS9f3nidlOt9/Pix9u3bZ7xO6N8ni/379yfphwB79uxxuP9F+r4GALw4KLQAAAAAqSBjxoz6+OOPjddLlizRkiVLkh0nPDw83s0q69Eyq1ev1vXr1x3GuHr1qv78888Ej7fkar3NsoD0i65hw4bG859++ilZN1GTq3DhwipZsqTxety4cal2rqdlPQ1TSi4K37hxY+P5tWvXUizu8yq1+jE56tevb4wkOnv2rFatWpUmeTytdOn+/9ZEYtNDTZ8+PcX62/o9Gx0d7dT6Qjly5LBZB+bJ9771d+uvv/6qhw8fOowXGBhoU0iqU6dOsnNKridHr7Rp08bmb5Ic1tf7yy+/GOvu2LNixQrdvHlTUtxnqnr16jb7X3vtNbm6ukqK69v169c7jHf27NlECzwv0vc1AODFQaEFAAAASCWff/65za9z27Vrp5UrVyb5+KNHj6patWpat26dzfZ69eqpcOHCkqRHjx7pk08+sRvDbDbr448/VlRUlKS4aZ8S+qXyF198YTxfsmSJzRQyibl69WqS2z5LXbt2Neb3v3jxosN+SgnWfTh+/Hht2LAhycc+yz7MmTOn8fzJaY4ScuPGjSTFtZ7Wx3q6n3+q5PZjasifP7/atm1rvP7www+TnEtsbOxzs5aO9Vo/y5cvt9vuzJkzSZqWzpn3bLp06eTp6Wm8ttz8T26cJ9/7H3zwgbHuSGhoqMP8o6Ki1Lt3b+N1nTp1VKJEiSTn4awGDRpo//79xmPgwIFOx+ratatRpAkMDNSPP/5ot+3du3f1+eefG6/ff/99ZcuWzaZNjhw51Lx5c+P1Z599psjIyATjmc1m9enTJ9HijvTifF8DAF4cFFoAAACAVOLm5qZFixYpd+7ckqTIyEg1bdpU7du318mTJxM8xmw2a//+/erQoYPKly+v48ePx2uTLl06jRo1yni9YMECde3aNd6C7/fv31fnzp21aNEiY9vo0aMT/KVyrVq11KFDB+N1p06d9Nlnn9m92fjo0SMtX75czZo1izftzPMiR44cGj16tPF66tSpat26td1pYo4fP64+ffrEK2wlVdu2bY1fcz9+/FiNGjXS6NGj7S7M/ODBAy1YsEBvvvmmzc3V1FamTBnj+e+//24U4ewpWLCgunXrpi1btigmJibBNnv27FGvXr2M135+fimT7HMsuf2YWkaMGKF8+fJJiiv4VKlSRYsXL7Y7xdKVK1c0fvx4vfzyy/rtt9+eZap2WY8s6devX4LToG3cuFG1a9fW/fv3bRYzT0j16tX1/vvva/Xq1Xb/LidPnrQZyVG3bl1jCkVJmjBhgsqXL6/JkycrNDQ0wRj379/XF198oQMHDkiS0qdPr/r169u0yZo1qwYNGmS8HjVqlAYPHhwvr2vXrqlZs2bGaAwXFxeNHDnS4XWmlPTp06ty5crGI3v27E7HKlq0qLp372687tWrlyZNmhTv/Xju3DnVq1dP586dkxTXT4MHD04w5pAhQ4y/zdGjR/Wf//wnXrHj/v376tChg1avXm2MgHHkRfm+BgC8OFzSOgEAAADgn6xIkSLau3evmjRpomPHjik2NlZz5szRnDlz5Ovrq7JlyypXrlyKiYnR1atXdfjw4XhTz1h+DW2tVatW2rZtmyZNmiQpbjqd3377TXXq1FGePHl0/fp1bdq0Sffv3zeO+eSTT9SiRQu7uU6bNk2hoaFat26dzGazxowZox9++EFVqlRR0aJFlTFjRt29e1fnzp3T0aNHjSlwKlWqlBJdlSo++ugjHTt2TFOmTJEkLVy4UEuWLFGVKlVUvHhxubu7KywsTIcOHVJQUJAk56fqSZ8+vRYuXKi3335bhw4dUlRUlPr376+vvvpKr776qgoWLChXV1fdvn1bp0+f1okTJ4wpkBz9XVJaw4YN5eHhoYiICB05ckQlS5ZU7dq1lT17dmPdkXr16qlevXqS4gqEP/30k3766SdlyZJF5cuXV8GCBZUpUybduHFDp06d0okTJ4z4Xl5eCggIeGbXk1aS24+pJV++fFq+fLn8/Px048YNhYaGqmXLlsqdO7eqVaumPHnyKDY2Vjdv3tSxY8d0/vz5JP3i3xnW62kkxtvbW6tXr5Yk9e3bVzNmzFBYWJhu376tBg0aqGLFinrllVdkMpkUGBhoFJ3r16+v3Llza86cOXZjR0dH69dff9Wvv/6qjBkzqmzZsipSpIiyZs2q27dv69y5czp48KDRPmPGjBozZky8OEeOHFHPnj3Vq1cvFS1aVKVLl1auXLkUHR2tkJAQ7dq1y+bGfP/+/eXj4xMvzqeffqodO3YYIxq//vprTZkyRXXq1FGOHDkUHByszZs320xv+O2339qswfMiGTNmjA4cOKD9+/fr8ePH6tWrl0aNGqXXX39dmTNn1rlz57Rt2zajcOvi4qIZM2YYIzWfVLJkSX3zzTfq06ePJGn9+vXy9fXVm2++qQIFCigsLEybNm3SvXv3lD17dvXp0yfRkU8vyvc1AODFQaEFAAAASGW+vr7avXu3xo4dq++//1537tyRJAUFBRk39xNSrlw5DR06VM2aNUtw/8SJE5U3b159/fXXevToke7fv5/gIuTu7u4aMmSIBgwY4DBPNzc3rV69WsOGDdN3332niIgIRUVFaefOnTaLM1vLkCGDzcLCz6PJkyerRIkSGjJkiO7du6eYmBjt2bMnwQWTTSaTPDw8nD5Xzpw5tXPnTvXr10/Tp0/X48ePFRERoU2bNtk9JmPGjM+0WJU1a1aNGzdOH374oWJjY3X+/HmdP3/epk3mzJmNAkHmzJmN0VL379/X9u3b7cYuV66cfv31V3l7e6feBTwnktuPqalKlSo6cOCAOnfurI0bN0qSrl+/7nCqwjx58qhYsWIpmseRI0eS3NbyPShJuXPn1vLly/XOO+8Y034FBgYqMDDQ5pimTZtq1qxZxg13e6yL05GRkdq7d6/27t2bYNvChQtr7ty5Klu2rN0YZrNZZ8+e1dmzZxOM4erqqi+//FJDhgxJcH+6dOm0dOlS9e3bV1OmTFFMTIxu3rypxYsXx2ubLVs2jRs3Tv7+/g6v8Xnm4eGhTZs2qXPnzlq4cKEk6fLly/r111/jtc2XL59mzJhhs6ZWQj7++GM9fvxYAwYMUFRUlB49eqQ1a9bYtMmTJ48WL15s9+/0pBfh+xoA8OKg0AIAAAA8A5kzZ9bgwYP18ccf648//tD69et18OBBhYWF6datW3J1dZWnp6defvllVatWTU2bNrVZ38WeQYMGqV27dpo+fbrWrl2rCxcu6M6dO8qePbuKFCmi+vXrq0uXLipYsGCS8kyfPr2++uor9e7dW7Nnz9aGDRt04sQJ3bhxQ9HR0cqaNasKFSqkMmXKqE6dOvLz83sh1uPo06eP2rZtq1mzZmnt2rXGNUlSrly5VLJkSdWqVUutW7d+6pvPGTNm1JQpU/TFF19o7ty52rRpk06fPq2bN28qNjZW2bJlU5EiRVSuXDnVrVtXDRo0UNasWVPiMpOsa9euKl26tKZOnao9e/boypUrioiISHCkw82bN7Vt2zZt3bpV+/fv15kzZ3Tt2jU9fPhQHh4eKlCggCpVqqQWLVronXfecXoR7RdRcvoxtRUqVEgbNmzQ7t27tWjRIm3btk3BwcG6ffu2XFxclDNnThUrVkyVK1dWvXr1VLt2bbm4PD+3BKpXr67jx49r3LhxWrlypVG0ypcvnypVqqS2bduqSZMmSYp1+PBh7dmzR5s3b9a+ffv0999/KyQkRBEREfLw8FDevHlVvnx5vfPOO2rVqpXNlGEW//3vf9WiRQutX79eu3bt0tGjRxUUFKR79+4pXbp0yp49u0qWLKk333xT7du3V6FChRzm5OLiogkTJujDDz/UzJkztXHjRgUHB+v+/fvy9PRU8eLF5efnp65du9qs//Oiypw5s3777Td98sknmjNnjrZs2aKQkBBFRkYqV65cKl26tBo3bqxOnTolOhWcRb9+/dSgQQNNnDhR69at05UrV+Th4aFChQqpWbNm6t69u3Lnzp3kQov0YnxfAwBeDCZzWvw/QAAAAAAAAAAAgH+Af89PjQAAAAAAAAAAAFIYhRYAAAAAAAAAAAAnUWgBAAAAAAAAAABwEoUWAAAAAAAAAAAAJ1FoAQAAAAAAAAAAcBKFFgAAAAAAAAAAACdRaAEAAAAAAAAAAHAShRYAAAAAAAAAAAAnUWgBAAAAAAAAAABwEoUWAAAAAAAAAAAAJ1FoAQAAAAAAAAAAcBKFFgAAAAAAAAAAACdRaAEAAAAAAAAAAHAShRYAAAAAAAAAAAAnuaR1AgCApHv48KGOHj0qSfLy8pKLC1/jAAAAAAAAQFI9fvxYYWFhkqQyZcrI3d39qWNyhw4AXiBHjx5V1apV0zoNAAAAAAAA4IW3b98+ValS5anjMHUYAAAAAAAAAACAkxjRAgAvEC8vL+P5vn37lC9fvjTMBgAAAAAAAHixhIaGGjPGWN9rexoUWgDgBWK9Jku+fPlUoECBNMwGAAAAAAAAeHGl1PrHTB0GAAAAAAAAAADgJAotAAAAAAAAAAAATqLQAgAAAAAAAAAA4CQKLQAAAAAAAAAAAE6i0AIAAAAAAAAAAOAkCi0AAAAAAAAAAABOotACAAAAAAAAAADgJAotAAAAAAAAAAAATqLQAgAAAAAAAAAA4CQKLQAAAAAAAAAAAE6i0AIAAAAAAAAAAOAkCi0AAAAAAAAAAABOotACAAAAAAAAAADgJAotAAAAAAAAAAAATqLQAgAAAAAAAAAA4CQKLQAAAAAAAAAAAE5ySesEAAAAAAAA4Bzf/n+kdQoAgH+goFGN0jqFFwojWgAAAAAAAAAAAJxEoQUAAAAAAAAAAMBJFFoAAAAAAAAAAACcRKEFAAAAAAAAAADASRRaAAAAAAAAAAAAnEShBQAAAAAAAAAAwEkUWgAAAAAAAAAAAJxEoQWADV9fX5lMJvn7+6d1KgAAAAAAAADw3KPQAqSy2NhY/f777+rRo4fKlSunPHnyyNXVVVmzZlWRIkX0n//8R6NGjdLp06dT5HxbtmyRyWSSyWRSQEBAisRMbV9//bWRc5YsWRQREZHWKQEAAAAAAABAklBoAVLR6tWrVapUKTVr1kxTp07VX3/9pevXrys6Olr379/XhQsXtGLFCg0YMEAlSpRQ7dq1tWvXrrRO+5mbM2eO8fzBgwdaunRpGmYDAAAAAAAAAEnnktYJAP9Uo0eP1oABA2Q2myVJNWrUUJMmTVShQgXlzJlTDx8+1LVr17Rz50798ccf+vvvv7V161Z99dVX+vPPP9Ms76CgoGd6vj179hijeTJnzqwHDx5o9uzZatu27TPNAwAAAAAAAACcQaEFSAWzZ89W//79JUm5cuXSvHnzVK9evQTbNm/eXGPGjNHKlSs1YMCAZ5nmc2H27NmS4vrps88+0xdffKGNGzfqypUryp8/fxpnBwAAAAAAAACOMXUYkMKuXLmiDz/8UJKUKVMmbdu2zW6RxcJkMumdd97RwYMH1blz52eR5nMhKipKv/32mySpVatWat++vdKnT6/Y2FjNmzcvjbMDAAAAAAAAgMRRaAFS2Pfff6/IyEhJcYu8lyxZMsnHuru7q2XLlvG2P7m4/aZNm9SyZUv5+PgoQ4YM8vX1TYnUJUm+vr4ymUzy9/e32V6nTh2ZTCYVLFjQmA7NnqioKHl6espkMqlFixZ2261cuVK3bt2SJLVt21Z58+bVm2++Ken/R7o4Urt2bZlMJtWuXVuSdObMGfXq1UvFihWTh4eHTCZTvKnQHj9+rBkzZsjPz0/e3t5yc3NTrly59MYbb2jcuHF6+PCh3fPFxsZq06ZN+vTTT1WjRg3lypVLGTJkUPbs2VW+fHl9+umnunTpUqJ5AwAAAAAAAPjnYOowIAWZzWajQJA5c+ZUGZ3y5ZdfasSIESkeNzFt27bVli1bFBwcrG3btqlWrVp2265evVq3b9+WJLVp08ZuO0tfFS1aVNWrVzfOs379eh0/flyBgYGqWLFikvJbvny52rRpo/DwcLttzp07p3feeUcnTpyw2X7z5k1t375d27dv1+TJk/XHH3+oWLFi8Y7/6quvNGzYsHjb7969qyNHjujIkSOaMmWK5s6dq2bNmiUpbwAAAAAAAAAvNgotQAo6fvy4bty4IUmqWbOmsmTJkqLxly1bpr/++ktlypRR3759Vbp0aUVGRurw4cMpep6EvPvuu+rZs6cePXqkefPmOSy0WKb9ypYtmxo1apRgmxs3bmjNmjWSbIsxzZs3V48ePRQREaHZs2cnqdBy6dIltW3bVh4eHho8eLBq1qyp9OnTa//+/cqcObMkKTQ0VDVq1NC1a9eUJUsWdevWTW+99Zby5Mmju3fvat26dRo/frzOnDmjBg0aKDAwUNmyZbM5z+PHj5UvXz41a9ZM1atXV5EiReTu7q7g4GDt2rVLkydP1oMHD/TBBx8oMDAwWaOZAAAAAAAAALyYKLQAKeivv/4ynid1JEZy49etW1d//PGH3NzcjO1vvPFGip/rSZaiydKlS7V48WJNnDhRrq6u8drdu3dPq1atkhRXnLHO09r8+fMVHR0tKW4Ui0XmzJn1n//8RwsWLNCCBQs0ZswYubg4/qq6cOGCvL29tXv3bhUsWNDYXq1aNeN5t27ddO3aNfn4+GjLli0qUqSITYzatWurZcuWqlmzps6fP68xY8Zo+PDhNm26dOmioUOHKkOGDDbbK1asqP/85z/q3bu3Xn31VV25ckUjRozQnDlzHOadkMuXLzvcHxoamuyYAAAAAAAAAFIPa7QAKcgymkWSvLy8HLY9fvy4jh07luDD3vRX6dKl0/Tp0+0WL1KbZeTJ7du3jdEoT1q6dKmxzklSpg2rWrVqvGm6LIWX69ev688//0xSbqNGjbIpslg7duyYUfyZOHFivCKLRYUKFdSzZ09J0syZM+Pt9/X1jVdksVagQAF99tlnkqQVK1YkupZNQnx8fBw+qlatmuyYAAAAAAAAAFIPhRYgBd2/f994bpmyyp5y5cqpTJkyCT7279+f4DE1atRI0YXvk6tRo0bKnj27pLgRKQmxbM+fP7/d6cVOnDihgwcPSrIdzWJRr1495c6dW5KSNCrE1dVVLVu2tLt/+fLlkiQPDw+7U5lZWEYHhYSEKDg42GHbe/fu6cKFCzZFMw8PD5t9AAAAAAAAAP7ZmDoMSEHWa7I4WpTdWWXLlk3xmMnh5uamd999V9OnT9fKlSt1//59m2u+evWqNm3aJEl6//33lS5dwrXcX375RZLk4uKi9957L95+FxcXtW7dWhMmTNCKFSt09+7deOulWCtWrJjc3d3t7j9w4IAkKSIiItFpyKxdvXpVPj4+NtsuXryoMWPGaOXKlbp48aLD42/cuGF39Iw9iRV3QkNDGdUCAAAAAAAAPEcY0QKkoJw5cxrPw8LCHLZ9/PixzGaz8Rg6dGii8XPkyPHUOT4ty3RgkZGRWrp0qc2+X3/9VTExMTbtnhQbG6t58+ZJihu5Ym+KNctIl4cPH2rhwoUOc0qsX65fv+5wvz0RERE2r9esWaNXXnlFEydOTLTIIsX1UXIVKFDA4SNfvnzJjgkAAAAAAAAg9TCiBUhB5cqVM54HBgamePz06dOneMzkqlWrlnx8fBQcHKz58+erQ4cOxj7LtGElS5ZU+fLlEzx+48aNunLliiRp9erVMplMiZ5z9uzZ6tq1q939ifWLpfhTuHBhrVixItHzWRQuXNh4fvPmTX3wwQeKiIhQ5syZ9emnn6p+/foqWrSosmXLJldXV0nSpk2bVLduXUlyao0WAAAAAAAAAC8WCi1ACipVqpRy5sypmzdvavv27QoPD1emTJnSOq0UZTKZ9P777+ubb77Rxo0bde3aNeXJk0dnz5411pZJaN0VC8u0Ycmxc+dOnT9/PtnTcFlYRhpdu3ZNL7/8crKmD7NYtGiR7ty5I0launSp3n777QTb3b5926kcAQAAAAAAALyYmDoMSEEmk0nt27eXJN2/f1+zZs1K24RSiWVasJiYGP3222+SZEwHJsWtz5KQBw8eaNmyZZKkunXrasGCBQ4f06dPlxQ3MmTOnDlO51uhQgVJcVOB7dy506kYx48flyR5enraLbJI/78eDAAAAAAAAIB/BwotQArr16+fMmbMKEkaOHCgzp49m8YZpbyyZcuqdOnSkv6/wGKZNqxGjRo2U25ZW7x4sbHuSY8ePfTee+85fHTu3FmVKlWSpKcqtPznP/8xnn/zzTdOxXj8+LEk6dGjR4qNjU2wTUREhGbPnu1UfAAAAAAAAAAvJgotQAorUKCAJk2aJEm6d++eatasqS1btiR63Is25ZRlVMu+ffu0YMECnT592mZ7QixFCA8PDzVs2DBJ53n33XclSefOnXN6NEqVKlVUr149SXHrwgwdOtRh+6CgIC1YsMBmW7FixSRJ4eHhWrx4cbxjYmJi1KVLF4WEhDiVIwAAAAAAAIAXE2u0AKmgY8eOunLlioYMGaKrV6+qTp06euONN/TOO++obNmyypkzp8xms65fv64jR45o2bJl2rdvn3G8ZUTM0zp8+HCSpi97/fXX9dJLLyUrdps2bTRw4ECZzWZ99NFHkqQMGTKoZcuWCba/dOmSUXBq2LChPDw8knSeFi1aaMCAAZLiCjU1atRIVp4WP//8sypXrqzQ0FB99dVXWrt2rTp16qQyZcrI3d1dN2/e1F9//aU///xTmzZtUtOmTW2mQGvVqpUGDhyoR48eyd/fX4cPH9Zbb72lrFmz6vjx45owYYIOHjyoGjVqOF0QAgAAAAAAAPDiodACpJJBgwapXLly+u9//6szZ85o27Zt2rZtm8NjatSoodGjR6tatWopksPy5cu1fPnyRNv9/PPPyS60+Pj4qGbNmtq2bZuxSHz9+vWVK1euBNvPmTNHZrNZ0v+PUkmKYsWKqWzZsvrrr7+0cOFC/fDDD3Jzc0tWrpLk7e2t3bt3q2XLltq/f7/27t2rvXv32m2fNWtWm9cFChTQlClT1KVLF0VGRmrkyJEaOXKkTZvWrVura9eueuutt5KdHwAAAAAAAIAXE1OHAamoSZMmOnnypJYuXapu3bqpTJky8vLykouLi7JkyaJChQrJz89PAQEBOn78uHbs2OH0iI208OQ0YR988IHdtpY1Vtzc3NSoUaNknadFixaSpDt37mjFihXJzPL/FSpUSHv37tWyZcv03nvvqXDhwvLw8FCGDBnk5eWl1157Tf/973+1detWzZgxI97xHTt21Pbt29W0aVN5eXkpQ4YMypcvnxo0aKDffvtNv/76q9KnT+90fgAAAAAAAABePCaz5SfmAIDn3uXLl+Xj4yNJCg4OVoECBdI4IwAAAABpybf/H2mdAgDgHyhoVPJ+KP0iSY37a4xoAQAAAAAAAAAAcBKFFgAAAAAAAAAAACdRaAEAAAAAAAAAAHAShRYAAAAAAAAAAAAnUWgBAAAAAAAAAABwEoUWAAAAAAAAAAAAJ1FoAQAAAAAAAAAAcJJLWicAAAAAAAAA5wSNapTWKQAA8K/HiBYAAAAAAAAAAAAnUWgBAAAAAAAAAABwEoUWAAAAAAAAAAAAJ1FoAQAAAAAAAAAAcBKFFgAAAAAAAAAAACdRaAEAAAAAAAAAAHAShRYAAAAAAAAAAAAnUWgBAAAAAAAAAABwEoUWAAAAAAAAAAAAJ1FoAQAAAAAAAAAAcBKFFgAAAAAAAAAAACdRaAEAAAAAAAAAAHAShRYAAAAAAAAAAAAnUWgBAAAAAAAAAABwEoUWAAAAAAAAAAAAJ1FoAQAAAAAAAAAAcBKFFgAAAAAAAAAAACdRaAEAAAAAAAAAAHAShRYAAAAAAAAAAAAnUWgBAAAAAAAAAABwEoUWAAAAAAAAAAAAJ1FoAQAAAAAAAAAAcBKFFgAAAAAAAAAAACdRaAEAAAAAAAAAAHAShRYAAAAAAAAAAAAnUWgBAAAAAAAAAABwEoUWAAAAAAAAAAAAJ1FoAQAAAAAAAAAAcBKFFgAAAAAAAAAAACdRaAEAAAAAAAAAAHAShRYAAAAAAAAAAAAnUWgBAAAAAAAAAABwEoUWAAAAAAAAAAAAJ1FoAQAAAAAAAAAAcBKFFgAAAAAAAAAAACdRaAEAAAAAAAAAAHAShRYAAAAAAAAAAAAnUWgBAAAAAAAAAABwkktaJwAAAAAAAADn+Pb/I61TQAoJGtUorVMAADiJES0AAAAAAAAAAABOotACAAAAAAAAAADgJAotAAAAAAAAAAAATqLQAgAAAAAAAAAA4CQKLQAAAAAAAAAAAE6i0AIAAAAAAAAAAOAkCi0AAAAAAAAAAABOotBiJSAgQCaTSSaTKdXOsWXLFuMcW7ZscTqOv7+/TCaTfH19Uyy31BYUFGRc+6xZs9I6nWfmRfxbAQAAAAAAAACSJs0KLdYFB5PJpPfeey/RYyw3rFOzEAK8SMxms1atWqUPPvhAxYoVU+bMmeXu7i4fHx9VqlRJ77//vqZOnaqTJ0+mdarPHV9fX5vvIOuHm5ub8uXLp3r16mnKlCmKjIxM63QBAAAAAAAAPKeemxEtCxcu1NGjR9M6DeCFcf36ddWpU0dNmjTRggULdPbsWYWHh+vRo0e6fPmyAgMD9euvv6pHjx565ZVXdOrUqXgxnsUorhdRVFSUrl69qvXr1+ujjz5S2bJldebMmbROCwAAAAAAAMBz6LkptJjNZg0dOjRNcwgICJDZbJbZbE7TPIDEREdHq379+tq6daskqUKFCvrhhx+0bds2HTp0SFu3btXUqVP1wQcfKFu2bGmc7fPN29tbR48etXns27dPc+bM0RtvvCFJOnv2rBo1aqRHjx6lcbYAAAAAAAAAnjcuaZ2AJOXKlUs3btzQsmXLFBgYqIoVK6Z1SsBzbfr06Tp8+LAkqWPHjpo+fbrSpbOtm77xxhvq3r27Hj16pAULFih79uzPPtEXQIYMGVS6dOl426tUqaIPPvhAdevW1ZYtW3TmzBn9/vvvat26dRpkCQAAAAAAAOB59VyMaOnTp4/c3NwkKc1HtQAvgt9//12S5OLiou+//z5ekcWam5ub/P39lTdv3meU3T9HunTp9Omnnxqv9+7dm4bZAAAAAAAAAHgePReFlgIFCqhbt26SpFWrVj3VzUyz2azFixerRYsW8vHxkbu7u3LkyKGqVatq+PDhunPnjt1jk7pexfbt29W8eXPlyZNH7u7uKlKkiD788EOdPXtWklS7dm2ZTCbVrl07STkvXLhQdevWlZeXlzJmzKgSJUro888/161bt5J62bpy5Yr69eun4sWLy8PDQ15eXvLz89OaNWuSdPzRo0fVrVs3FStWTB4eHsqSJYtKlSqlvn37KigoyO5xQUFBRp/NmjVLkrR06VL5+fnJ29tbLi4uDvth/fr1atKkifLmzSs3NzcVLlxYPXr00OXLlxPNOSoqSpMnT1adOnXk5eUlV1dX5c2bV35+fpo7d65iY2MTjfHgwQONGjVK1atXl6enp9zc3FSgQAG9++67WrVqVaLHS9KJEyfUoUMH4/3m4+OjDz74QPv370/S8c64ePGipLjRYM6MVJk1a5ZMJpOGDRtmbEtoUfiE/vZhYWEaNGiQKlSooOzZs8vd3V2+vr5q166dduzY4fC8lgXo/f39JUmnTp1S165d5evrKzc3N+XJk0fNmjXTnj17knQdly9f1oABA1SxYkXlyJFD7u7uKliwoFq3bq3NmzcnuT8Sy9ni4cOHCbax9FdAQIAkadOmTWrZsqV8fHyUIUMGmxgAAAAAAAAA/lmei6nDJGnAgAGaPn26IiMjNWTIEK1duzbZMcLCwtSsWTPt3LnTZvujR4+0f/9+7d+/X5MmTdLy5ctVrVo1p/L83//+p8GDB9us43LhwgVNmzZN8+fP1+LFi5McKyYmRm3atNH8+fNttp8+fVrffvutli1bpu3btyc6EuHAgQNq1KiRrl+/bmyLjIzUmjVrtGbNGvXp00fjxo2ze/zIkSM1aNCgeIWJEydO6MSJE5oyZYp+/PFHtW/f3mEeZrNZ7du315w5cxy2s+jfv79Gjx5tsy0oKEhTp07VkiVLtHXrVpUsWTLBYy9evKiGDRvq5MmTNtuvXbtmXPe0adO0fPlyeXp6Jhjj0KFDaty4sUJCQmy2X7lyRUuWLNGSJUvUvHlzzZs3T+7u7gnG+PXXX9WhQwdFRUUZ2y5fvqwFCxZo0aJFmjZtWqL94AxXV1dJcdd769Ytu9eY0tatW6eWLVvq3r17NtsvXryoixcvau7cuerZs6d++OEHh6NspLiCXLt27RQREWFsu379un7//XetXLlS8+bNczhN14wZM9S7d29FRkbabA8ODlZwcLAWLlyozp07a+rUqXJxcf6rzrrYVLBgwUTbf/nllxoxYoTT5wMAAAAAAADwYnkuRrRIUr58+dSjRw9JcTdzE/tl/JPCw8NVq1Yt7dy5U66ururevbuWL1+uwMBAbd++Xf/73/+UM2dOXbt2TQ0bNjRGBCTHggULNGjQIJnNZuXIkUOjRo3Srl27tGvXLo0ePVouLi567733FBoamqR4Q4YM0fz589W0aVMtXbpUBw8e1OrVq9WoUSNJcQtw9+3b12GMiIgItWzZUnfv3lX//v21bds27d27Vz/88IPy5csnSRo/fry+//77BI+fPHmyBg4cqNjYWHl5eWnMmDHavXu3duzYoYCAAGXKlEmPHj2Sv7+/Vq9e7TCXcePGac6cOapZs6bmz5+vAwcOaMOGDWrXrl28tj/99JNGjx6tWrVq2bS1FHPCwsLUqVOnBM/z4MEDvfnmm0aRpWnTplqxYoUOHDigRYsWqVatWpKkHTt2qHHjxoqJiYkX48qVK6pbt65CQkJkMpnUsWNHrV27VgcOHNDs2bNVrlw5SXHFgA4dOiSYx969e9WuXTtFRUXJzc0tXv/nypVLH374obGWSkqqUKGCpLjiVteuXfXgwYNkHd+0aVMdPXrU+MxJircg/NGjR5U/f35j/+HDh9WkSRPdu3dPGTJk0CeffKLNmzdr3759mjZtmgoXLixJmjRpkgYMGODw/H/99ZfatGmjPHnyaOLEidqzZ492796tgIAAubu7KyYmRt26dVNYWFiCx8+cOVNdunRRZGSkSpcurQkTJmjHjh0KDAzUkiVL5OfnJymuGPPFF18kq2+smc1m47NjMpnUuHFjh+2XLVumESNGqEyZMpo5c6b27dunrVu3ql+/fk7nAAAAAAAAAOD5ZjJbD814hrZs2aI6depIkn7++Wf5+/srLCxMhQsXVnh4uOrUqaNNmzbZHOPv769ffvlFkvRk2r1799bEiROVLVs2bdiwQZUrV453zosXL6p69eoKDQ1V27Zt4428CAgIMKZSejL+o0ePVLBgQV2/fl2enp7avXu3ihcvbtPm9OnTql69ujHlV61atbRlyxa71y1JX3/9tb788kubNmazWQ0aNNC6devk4uKikJAQeXl52e2LDBkyaMOGDXrjjTds2oSEhKhatWq6fPmyPDw8dOHCBeXOndvYHxYWJl9fX0VERMjb21t79uyRj4+PTYxDhw6pZs2aCg8PV/78+XXhwgVlyJDB2B8UFGTcYJek9u3bG9NSPenJtl27dtW0adPite3ataumT58uSQoMDDSKChafffaZxowZI0kaNGiQhg8fHq//2rVrp3nz5kmKKyZZFxQkqWXLlsboo+nTp6tz5842+x89eqSGDRsa00+tXr1aDRs2tGlTuXJlHTx40G7/X7lyRa+++qoxDVqhQoUcTsOWHPv27VP16tWNUUjZsmVTkyZNVKNGDVWrVk1lypRJ0igOR+/5J1WtWlX79+9X+vTptXr1atWrV89m/+3bt/X666/rxIkTSpcunf766y+VKlXKpo2vr69R5KxUqZI2btyobNmy2bSZN2+e2rZtK0n6/vvv4xUbg4OD9fLLLysiIkIdOnTQ9OnTE7xWy8iSdOnS6eTJk/E+r5ZcvL29442ge/jwoU6fPq3p06cb74H//ve/xvvuSdbv4bp16+qPP/4w1p1KrsSmzQsNDVXVqlUlxfVFgQIFnDoPAAAAgH8G3/5/pHUKSCFBoxqldQoA8K9w+fJl4z54St1fe25GtEiSl5eXevXqJUnavHlzktdYuHHjhnFj/quvvkqwyCLF3egePHiwJOm3336zmbIoMcuWLTOm5ho6dGi8m7aSVLx4cQ0dOjTJMStVqqSBAwfG224ymYxfwD9+/Fi7d+92GKd79+7xbvJLkre3t7777jtJcSNfLIUZi59//tnog++++y5ekUWKGzlhGZ1w5coVYxH2hGTPnl0TJ05MdI0bKW4E04QJExJsa734+Pbt2232PXr0yPhbv/LKK8aaGNZMJpMmT56snDlzSpImTpxosz80NFTLli2TJNWvXz9ekUWKW0B+5syZxg38J2Ps27dPBw8elGS///Pnz2/0f0qrWrWqpk6dahS97t69q7lz56pHjx6qWLGismfPrnr16umnn35SeHj4U59v3759xpozXbp0iVdkkaQcOXLoxx9/lCTFxsZq8uTJDmPOnDkzXpFFkj744AN5e3tLiv/3l+JGaFmKg46mBRs2bJjy58+v2NhYzZ49224eISEhKlOmjM2jSpUqatOmjTZv3qwqVapo0aJFdoss1tKlS6fp06c7XWSRJB8fH4cPS5EFAAAAAAAAwPPhuSq0SHGjFbJkySJJRlEkMWvXrjUWqW7VqpXDtpYb4tHR0caN8qTYuHGjpLgbqQlNhWXRtm3bJBUapLgbyvbaVqpUyXh+/vx5h3E6duxod1+zZs2MxdI3bNhgs8/yOnv27GrRooXdGF26dIl3TEKaNGli/O0S8+6779q9GV2iRAllzpxZUvxrP3jwoO7cuSMpblRP+vTpE4yRNWtW471w4sQJm+ncNm/ebEwnllCRxcLX11dvv/22pLiRSNZTkFn3Q1L7P6V17dpVR44cUfv27ZUpUyabfeHh4Vq/fr26deumYsWK6c8//3yqc1lfr6M+q1GjhrGujqP3SpkyZVS2bNkE95lMJmMUU0Lv/eXLl0uKe7/ZWztHklxcXFS9enVJSrRY6cjBgwf1008/6fjx44m2rVGjBgvfAwAAAAAAAP8yz12hJWfOnPrkk08kSTt37ow3pU9CDhw4YDzPly+fTCaT3Ufp0qWNtlevXk1yXseOHZMkFS5cWDly5LDbztPTU0WKFElSzJdfftlhHIv79+/bbefq6mr3hrUUN62Y5aa15RosLK8rVKhgMx3Yk/LkyWPcPH4yhjVHeTzJ0bVLMvr4yWu3Pn+1atUcxrDeb32cMzEiIiJsbvofPXpUUvL6PzWULFlSv/zyi27evKlt27bp22+/VZs2bWyGu4WGhqpx48YOCx+JsfSZq6trotdj6bMzZ84oKioqwTaJ/f0t7/8n//53797V2bNnJcmYds7RwzI9nKPPeqFChWQ2m20e0dHRunz5smbPnq2CBQtq3bp1ev3117Vr1y6HeSfnM2BPcHCww8e+ffue+hwAAAAAAAAAUs5zV2iRpH79+hmjAIYMGZJoe8uUXsmVnKnDbt++LUk2a5zY8+R6KvZ4eHjY3Zcu3f//aRJazN3C09Mz0bU48uTJI0nG2jEWlteW/Y7kzZs3wRjWHBWgnuTo2qX/v/4nr936/Inlbcn5yeNSIobl/ZCc/k9Nbm5uqlmzpj799FPNnTtXwcHB2rhxo7FGSkxMjHr27JnoOiz2WK49Kddr6TOz2Wz005Oc/fs/i8+6FDcaJn/+/GrXrp127dolT09P3blzR23bttXjx4/tHpecz4A9BQoUcPjIly/fU58DAAAAAAAAQMpJfLXsNJA9e3b169dPQ4YM0b59+7Rq1So1btzYbnvLzVhXV9dkTQf2T1hEOinTlCV2cz0lYkiyO41Xakksb2eLCkmJYdmeUn2XGt58802tX79epUuX1q1bt3T69GkdPnz4qUbYpPX1WhdePvnkE4fTmFlzdXV1+pz58uVTu3btNH78eF24cEGbN282ppR70rP+DAAAAAAAAABIe89loUWKu4k6fvx43bx5U0OGDFGjRo3strUseh4VFaWcOXOmyi++Lb9UT8ov6sPCwlL8/PbcvHlTMTExDm/wWnK2no7M8jo0NDRJU6hdu3YtwRjPmvX5r169quLFi9tta8n5yeOsn1+7dk0FCxZ0OkZy+j8t5MuXT40aNdKcOXMkSWfPnnWq0GJ9vY8fP3Y4qsXSZyaTKUVGeFizfNaluFEq1lMBpibrqc6OHj1qt9ACAAAAAAAA4N/nuZw6TJKyZMmizz77TJJ06NAh/f7773bbWt84XrduXarkY5mC6cKFCw6nz7p161aii9enpKioKB05csTu/sePH+vw4cOSFO+mtOX1oUOHFB0dbTfG9evXdfHixQRjPGvW59+7d6/DttZrWVgf50wMDw8PFS5c2NhepkwZScnr/7Ti7e1tPLeekk5K2ggV6f/7LCoqSocOHXLY1tJnxYoVe6qRJAnx8vJS/vz5JUkbNmx4ZqOFrKcLc/RZAQAAAAAAAPDv89wWWiSpV69expooQ4cOtXtTtWHDhsZi7mPHjnW4hoKz6tatK0mKjY3V3Llz7babO3fuM58q6pdffrG7b9myZcY6GW+99ZbNPsvrO3fuaMmSJXZjzJgxw7imJ2M8a5UqVTLW7/nll1/srl9z//59LVy4UJL0yiuv2Ixyql27tjECZcaMGXbPdenSJa1fv944xnoUh3U/JLX/U1Jy3mMHDhwwnlsXiyTJ3d3deP7o0SO7Mayv11Gf7d69WydOnIh3TEp65513JEnnz583FrtPbfv37zee+/j4PJNzAgAAAAAAAHgxPNeFlkyZMumLL76QFDddz+rVqxNslz9/fnXs2FGSdOTIEXXv3t1hseX69euaPn16snJp1qyZUfQZNmyYzpw5E6/NmTNnNGzYsGTFTQlTpkzRjh074m2/evWqPv30U0lxIzI6dOhgs79jx47GouT//e9/FRwcHC/GkSNHNGLECElx/dy0adMUzj553Nzc1KVLF0nS8ePHE+xvs9msXr166caNG5LiCnbWvL291axZM0nS2rVrNXPmzHgxoqKi1KlTJ2P0wpMxqlatqooVK0qy3/+hoaFG/6e05s2ba/LkyQoPD3fYbtasWdq4caMkqWDBgvGmDbMuQJ07d85unKpVq6pKlSqSpOnTpxsFKGt3795V9+7dJcWNnOnRo0fSLiaZPvvsM7m5uUmSPvzwQ5tCUkJWr16tv/76y+nzBQYG6rfffpMUt9ZLWhcbAQAAAAAAADxfnts1Wix69OihMWPGKDQ01LhxnpDvvvtOu3bt0rFjxzRz5kzt2bNH3bp1U6VKlZQ5c2bduXNHx48f14YNG7R69WqVKVPGuGGfFO7u7ho3bpw++OAD3bp1S9WqVVP//v31xhtvSJK2bdum0aNHKzY2VsWKFdOZM2eSPC3T0/Dy8pKHh4fefvtt9e3bV35+fnJzc9O+ffs0YsQIhYSESJKGDx9uFIqsj/3222/Vs2dPhYSEqHLlyurfv79ee+01xcTEaMOGDfr222/14MEDmUwm/fjjj8bIobQ0ZMgQLV26VOfPn9fw4cN17NgxderUSd7e3rpw4YImTpyoLVu2SJKqV6+ubt26xYsxduxYbdy4Ubdv31aXLl20c+dOvffee/L09NSpU6c0ZswYY8qvVq1aqWHDhvFiTJ48Wa+//rqio6Pj9f/evXs1YsQI3bhxQ+XKlXM4vZgzgoOD1bNnT33xxRdq0qSJ3njjDZUoUUI5cuTQw4cPderUKS1atMgoTppMJo0dOzbee/K1114znvft21dffvml8uXLZ7Tz9fU1RvL8+OOPqlatmqKiotSoUSP17t1bTZo0UebMmXXo0CGNGjXKmDbv008/TbVp5goXLqypU6eqY8eOunXrlmrUqKF27dqpcePGKliwoB4/fqzLly9r3759Wrx4sc6dO6eVK1eqbNmyCcaLjo7WsWPHbLbFxMTo2rVr2rBhgyZNmmSM9vnss8/ifY4AAAAAAAAA/Ls994WWjBkzauDAgerdu7fDdpkzZ9bWrVvVpk0b/fnnnzpx4oQ++eQTu+2zZs2a7Fzef/99nT9/XoMHD9bt27eN0TYWHh4eWrRokUaNGqUzZ87YTMuUWjw8PLR48WI1bNhQI0eO1MiRI+O1+fjjj9WvX78Ej//oo490584dDR48WNevX0+wnZubm3788Uf5+fmleP7OyJIlizZu3KiGDRvq1KlTWrZsmZYtWxavXY0aNbRixYoEF6ovUKCANm7cqMaNGyskJEQzZ85McGRL8+bN7U4NVq1aNc2ePVv+/v56+PBhvP53cXExRrukdKGlQIECOnjwoB48eKAFCxZowYIFdttmy5ZNEyZMUPPmzePte+mll9SqVSstXLhQ69ati7fG0YULF+Tr6ytJKl++vFauXKmWLVvq3r17+v777/X999/Hi9mzZ88E34cpyd/fXxkzZlS3bt107949zZgxw+6UZunSpVOmTJnsxgoJCTHW3LHHZDLp448/1vDhw58qbwAAAAAAAAD/PM/11GEWXbt2TdK6CJ6enlqzZo02btyojh07qlixYsqcObNcXFzk6empKlWqqGfPnlq9enWCUx8lxZdffqmtW7eqadOmyp07t9zc3FSoUCF16tRJBw4ckJ+fn+7duycp7gb3s1C5cmUFBgbq448/VtGiReXu7q6cOXOqQYMGWr16tcaPH+/w+IEDB+rQoUPq2rWrihYtqowZMypTpkwqWbKk+vTpo1OnTql9+/bP5FqSytfXV0eOHNHEiRNVq1Yt5cyZUxkyZFCePHnUoEEDzZkzR9u2bZOnp6fdGBUqVNDff/+tkSNHqlq1asqePbtcXV3l7e2t5s2ba8WKFVqyZInDgtn777+vQ4cOqV27dvL29parq6vy58+vVq1aaceOHckaNZUcv//+u06dOqXx48erVatWKlWqlLJly6b06dMrU6ZMKliwoPz8/DRu3DidPXtW7dq1sxtr7ty5+uabb1S1alVly5ZN6dLZ/1qoV6+ezp49q4EDB6p8+fLKmjWr3NzcVLBgQbVp00bbt2/XxIkTHcZIKa1bt1ZQUJBGjRql2rVrK3fu3MqQIYM8PDxUpEgRNWnSRN9//72CgoJUp06dZMVOly6dsmXLpgoVKqhXr14KDAzUuHHjnskoNQAAAAAAAAAvFpP5Wa/c/g8XHR2tbNmyKTIyUoMGDeIX8ABS1OXLl43Cc3BwsAoUKJDGGQEAAABIS779/0jrFJBCgkY1SusUAOBfITXur70QI1peJL///rsiIyMlSa+++moaZwMAAAAAAAAAAFIThZZkOnv2rN19QUFBxhonefLkUf369Z9VWgAAAAAAAAAAIA24pHUCL5qXX35Zfn5+aty4sUqVKqVMmTLp+vXr2rx5s6ZOnao7d+5IksaMGSMXF7oXAAAAAAAAAIB/MioByRQTE6OVK1dq5cqVCe5Ply6dvv76a7Vt2/YZZ4YXyenTpxUVFZXs43Lnzq3cuXOnQkYAAAAAAAAAAGdQaEmmlStXas2aNdq1a5euXbummzdvys3NTfnz51ft2rXVs2dPlS5dOq3TxHOuXr16unjxYrKPGzp0qAICAlI+IQAAAAAAAACAUyi0JFPjxo3VuHHjtE4DAAAAAAAAAAA8Byi0AGkgKCgorVMAAAAAAAAAAKQACi0AAAAAAAAvqKBRjdI6BQAA/vXSpXUCAAAAAAAAAAAALyoKLQAAAAAAAAAAAE6i0AIAAAAAAAAAAOAkCi0AAAAAAAAAAABOotACAAAAAAAAAADgJAotAAAAAAAAAAAATqLQAgAAAAAAAAAA4CQKLQAAAAAAAAAAAE6i0AIAAAAAAAAAAOAkCi0AAAAAAAAAAABOotACAAAAAAAAAADgJAotAAAAAAAAAAAATqLQAgAAAAAAAAAA4CQKLQAAAAAAAAAAAE6i0AIAAAAAAAAAAOAkCi0AAAAAAAAAAABOotACAAAAAAAAAADgJAotAAAAAAAAAAAATqLQAgAAAAAAAAAA4CQKLQAAAAAAAAAAAE6i0AIAAAAAAAAAAOAkCi0AAAAAAAAAAABOotACAAAAAAAAAADgJAotAAAAAAAAAAAATqLQAgAAAAAAAAAA4CQKLQAAAAAAAAAAAE6i0AIAAAAAAAAAAOAkCi0AAAAAAAAAAABOotACAAAAAAAAAADgJAotAAAAAAAAAAAATqLQAgAAAAAAAAAA4CQKLQAAAAAAAAAAAE6i0AIAAAAAAAAAAOAkCi0AAAAAAAAAAABOotACAAAAAAAAAADgJAotAAAAAAAAAAAATqLQAgAAAAAAAAAA4CQKLQAAAAAAAAAAAE5ySesEAAAAAAAA4Bzf/n+kdQpIoqBRjdI6BQBAKmFECwAAAAAAAAAAgJMotAAAAAAAAAAAADiJQgsAAAAAAAAAAICTKLQAAAAAAAAAAAA4iUILAAAAAAAAAACAkyi0AAAAAAAAAAAAOIlCCwAAAAAAAAAAgJMotCQgICBAJpNJJpMp1c6xZcsW4xxbtmxxOo6/v79MJpN8fX1TLLfUFhQUZFz7rFmz0jqdZ+ZF/Fv9Exw7dkxt27aVj4+PXF1djffe4cOH0zo1AAAAAAAAAP8AaV5osS44mEwmvffee4keY7lhnZqFEOBFtWXLFvXt21eVKlVSvnz55OrqquzZs+vll19WmzZtNHfuXEVERKR1ms/EwYMHVbVqVc2bN0+XL19WdHR0WqcEAAAAAAAA4B8mzQstT1q4cKGOHj2a1mkAL5xjx46pVq1aqlOnjsaNG6fAwEBdvXpV0dHRunv3rv7++2/Nnz9f7dq1U4ECBfTdd98pNjY2rdNOVQMGDFBkZKSyZs2qyZMna9++fTp69KiOHj2ql19+Oa3TAwAAAAAAAPAP4JLWCTzJbDZr6NChWrp0aZrlEBAQoICAgDQ7P5Bc69atU8uWLXXv3j1JUqlSpdSqVStVrVpVXl5eCg8P18WLF/Xnn39qxYoVun37tj799FN17txZ2bNnT9vkU0l0dLS2bt0qSerWrZt69OiRxhkBAAAAAAAA+Cd6rgotuXLl0o0bN7Rs2TIFBgaqYsWKaZ0S8Nw7efKkmjdvrvDwcKVPn15jx45Vz549lS5d/AFr7dq1U1hYmAICAjR58uQ0yPbZuXHjhqKioiRJxYsXT+NsAAAAAAAAAPxTPVdTh/Xp00dubm6SpKFDh6ZxNsDzz2w2q02bNgoPD5ckzZgxQ717906wyGLh5eWlSZMmafHixcqQIcOzSvWZe/TokfH8n3ydAAAAAAAAANLWc1VoKVCggLp16yZJWrVqlfbu3et0LLPZrMWLF6tFixby8fGRu7u7cuTIoapVq2r48OG6c+eO3WMDAgJkMplkMpkcnmP79u1q3ry58uTJI3d3dxUpUkQffvihzp49K0mqXbu2TCaTateunaScFy5cqLp168rLy0sZM2ZUiRIl9Pnnn+vWrVtJvWxduXJF/fr1U/HixeXh4SEvLy/5+flpzZo1STr+6NGj6tatm4oVKyYPDw9lyZJFpUqVUt++fRUUFGT3uKCgIKPPZs2aJUlaunSp/Pz85O3tLRcXF4f9sH79ejVp0kR58+aVm5ubChcurB49eujy5cuJ5hwVFaXJkyerTp068vLykqurq/LmzSs/Pz/NnTs3SeuQPHjwQKNGjVL16tXl6ekpNzc3FShQQO+++65WrVqV6PGSdOLECXXo0MF4v/n4+OiDDz7Q/v37k3S8M1avXq1Dhw5Jkho1aqQOHTok+dgWLVooU6ZMNtt8fX1lMpnk7+8vKW4xeX9/fxUuXFhubm7xPhPnz5/Xd999pyZNmsjX11cZM2ZUxowZVahQIbVu3Vp//vmn3fP37NlTJpNJ+fLlS3D/5cuXjfdUunTpFBYWFq+N2WyWp6enTCaTPvvsM0n///ktXLiw0a5jx45GLJPJlODUgEFBQerbt69KlSqlLFmyyMPDQ8WKFVP37t0TXTfqybibNm1Sy5Yt5ePjowwZMsjX19fh8QAAAAAAAABeXM/V1GFS3OLV06dPV2RkpIYMGaK1a9cmO0ZYWJiaNWumnTt32mx/9OiR9u/fr/3792vSpElavny5qlWr5lSe//vf/zR48GCZzWZj24ULFzRt2jTNnz9fixcvTnKsmJgYtWnTRvPnz7fZfvr0aX377bdatmyZtm/frrx58zqMc+DAATVq1EjXr183tkVGRmrNmjVas2aN+vTpo3Hjxtk9fuTIkRo0aFC8wsSJEyd04sQJTZkyRT/++KPat2/vMA+z2az27dtrzpw5DttZ9O/fX6NHj7bZFhQUpKlTp2rJkiXaunWrSpYsmeCxFy9eVMOGDXXy5Emb7deuXTOue9q0aVq+fLk8PT0TjHHo0CE1btxYISEhNtuvXLmiJUuWaMmSJWrevLnmzZsnd3f3BGP8+uuv6tChgzFVlRRXKFiwYIEWLVqkadOmJdoPzvj555+N53379k3R2FOnTlXv3r31+PHjBPdfuHBBRYsWTXDfpUuXdOnSJS1cuFBt27bVzz//LBcX26+b2rVra/Lkybp69apOnToVb3H6LVu2GM/NZrO2bt2qd99916bNkSNHdPv2bUlSrVq1knuJhtmzZ6tbt242o2Ak6ezZszp79qxmzJih4cOHa8CAAYnG+vLLLzVixAincwEAAAAAAADwYnmuRrRIUr58+YxFq9etW6cdO3Yk6/jw8HDVqlVLO3fulKurq7p3767ly5crMDBQ27dv1//+9z/lzJlT165dU8OGDXXx4sVk57hgwQINGjRIZrNZOXLk0KhRo7Rr1y7t2rVLo0ePlouLi9577z2FhoYmKd6QIUM0f/58NW3aVEuXLtXBgwe1evVqNWrUSFLczd7EbqJHRESoZcuWunv3rvr3769t27Zp7969+uGHH4wRA+PHj9f333+f4PGTJ0/WwIEDFRsbKy8vL40ZM0a7d+/Wjh07FBAQoEyZMunRo0fy9/fX6tWrHeYybtw4zZkzRzVr1tT8+fN14MABbdiwQe3atYvX9qefftLo0aNVq1Ytm7aWYk5YWJg6deqU4HkePHigN9980yiyNG3aVCtWrNCBAwe0aNEi48b7jh071LhxY8XExMSLceXKFdWtW1chISEymUzq2LGj1q5dqwMHDmj27NkqV66cpLjROfZGi+zdu1ft2rVTVFSU3Nzc4vV/rly59OGHH+rw4cMO+80Z27dvlyRlypQpySOnkmL//v3q1auXChQooIkTJxrvhZEjRxptYmJi5OrqqiZNmuiHH37Qhg0bFBgYqA0bNmjy5MkqVaqUJGnu3LkaPnx4vHNYF0asiyr2tjlqky5dOtWsWVOS9NFHH+no0aM2Rdqvv/5aR48eNR4fffSRse+PP/6Qv7+/Hj16pMyZM2vo0KHavn27du/ere+++065cuVSTEyMBg4cqClTpjjst2XLlmnEiBEqU6aMZs6cqX379mnr1q3q16+fw+MAAAAAAAAAvLhMZushGWlgy5YtqlOnjqS4X+f7+/srLCxMhQsXVnh4uOrUqaNNmzbZHOPv769ffvlFkvRk+r1799bEiROVLVs2bdiwQZUrV453zosXL6p69eoKDQ1V27Zt4428CAgI0LBhwxKM/+jRIxUsWFDXr1+Xp6endu/eHW+h7dOnT6t69erGlF+1atVK8Kax5bqluBvBX375pU0bs9msBg0aaN26dXJxcVFISIi8vLzs9kWGDBm0YcMGvfHGGzZtQkJCVK1aNV2+fFkeHh66cOGCcufObewPCwuTr6+vIiIi5O3trT179sjHx8cmxqFDh1SzZk2Fh4crf/78unDhgs26F0FBQTZTNbVv316zZs1KcPq1J9t27dpV06ZNi9e2a9eumj59uiQpMDBQFSpUsNn/2WefacyYMZKkQYMGxbuZbzab1a5dO82bN09SXDHJUsSzaNmypTH6aPr06ercubPN/kePHqlhw4bavHmzpLipuho2bGjTpnLlyjp48KDd/r9y5YpeffVVYxq0QoUKOZyGLalCQkKUP39+SdJrr70WbwSXM3x9fY3iY5kyZbRt2zZlz549wbbh4eG6d++e3am/zGazOnXqpFmzZilTpky6cuWKsmXLZtPmlVde0cmTJ9W6dWv9+uuvNvteeuklnTt3Tu+8845WrFihUqVK6dixYzZtmjZtquXLl6tixYo6ePCgzT7r95nlu+VJ0dHRKly4sK5cuaLMmTNr+/btKl++vE0b6+8LDw8PXbx4Ubly5bJpY/3erVu3rv744w9jvankSmy6vNDQUFWtWlWSFBwcrAIFCjh1HgAAAAD/DL79/0jrFJBEQaMapXUKAADF3X+z3P9Oqftrz92IFiluse5evXpJkjZv3mzc5E7MjRs3jBvzX331VYJFFinuRvfgwYMlSb/99psiIiKSnNuyZcuMqbmGDh0ar8giScWLF9fQoUOTHLNSpUoaOHBgvO0mk8n4Jfzjx4+1e/duh3G6d+8e7ya/JHl7e+u7776TFDfyxVKYsfj555+NPvjuu+/iFVkkqUKFCsa0SVeuXNHvv/9uN4/s2bNr4sSJia5xI8WNYJowYUKCbT/99FPjuWXkhsWjR4+Mv/Urr7yS4JobJpNJkydPVs6cOSVJEydOtNkfGhqqZcuWSZLq168fr8giSW5ubpo5c6Yx7dWTMfbt22fc4LfX//nz5zf6PyXduHHDeJ4nT54Ujz9p0iS7RRYpbhSNvSKLFNf/3333ndKnT6/w8HBt2LAhXhvLqJatW7fabL9y5YrOnTsnk8lkfJZOnDhhs06L2Ww23hfOjuZZtmyZrly5Iiluyq8niyxS3PfFt99+Kynu82M9XduT0qVLp+nTpztdZJEkHx8fhw9LkQUAAAAAAADA8+G5LLRIcaMVsmTJIklGUSQxa9eu1cOHDyVJrVq1ctjWckM8Ojo63i/hHdm4caOkuBuqCU2FZdG2bdskFRok6YMPPrDbtlKlSsbz8+fPO4zTsWNHu/uaNWtm3DR/8oa35XX27NnVokULuzG6dOkS75iENGnSxPjbJebdd9+1e1O6RIkSypw5s6T4137w4EHduXNHUtyonvTp0ycYI2vWrMZ74cSJEzbTuW3evNmYTiyhIouFr6+v3n77bUlxI5GspyCz7oek9n9KuX//vvH8yUXtn5aPj48xFVdSRUdH6/Llyzp58qSOHTumY8eOKSQkxCh0HTlyJN4xlgKJZZ0WC8sIsFdeeUUVK1ZUkSJFjHVaLP766y+bUWPOsPz9TCaT3SnqpLiRT5bROI7e+zVq1GDhewAAAAAAAOBf5rkttOTMmVOffPKJJGnnzp026y3Yc+DAAeN5vnz5ZDKZ7D5Kly5ttL169WqS87JMXVS4cGHlyJHDbjtPT08VKVIkSTGfXAT8yTgW1jfWn+Tq6qqyZcva3Z8hQwZj6q0np1+yvK5QoYLNdGBPypMnj3ET+ckY1hzl8SRH1y7J6OMnr936/NWqVXMYw3q/9XHOxIiIiLAp+hw9elRS8vo/pVgXs8LDw1M0dlL/htHR0Zo0aZJeffVVZc6cWT4+PnrllVdUpkwZ42EZAWY9AsfC3jotlueWQozlfxNqY70+S3JZ3gO+vr420+k9ydXV1e7nx1py3vv2BAcHO3zs27fvqc8BAAAAAAAAIOU8t4UWSerXr58xCmDIkCGJtrfc0E2u5Ewddvv2bUlyeFPW4sn1VOzx8PCwuy9duv//EyW0mLuFp6enMb2VPZbppSyjACwsr5My/VTevHkTjGHNUQHqSY6uXfr/63/y2q3Pn1jelpyfPC4lYljeD8np/5RivU7ItWvXUjR2Uv6Gt27dUvXq1dWrVy/t3btXUVFRDttHRkbG25Y3b16VKFFCkvOFlrJlyybrPffkNUhp8963p0CBAg4fjqZrAwAAAAAAAPDsOb4znMayZ8+ufv36aciQIdq3b59WrVqlxo0b221vuRnv6uqarOnA/gmLSSdlmjKz2ZzqMSTZncYrtSSWd1JyToy9GJbtKdV3yeHt7S0vLy+FhYXpyJEjiomJSbG+T0qcPn36GJ+zpk2bqlOnTipbtqxy584td3d3o08KFiyo4OBgu9dfq1Yt/f3338a0YCEhITp79qxMJpMx4qVOnTqS/n+dlly5cj31+izWXtT3PgAAAAAAAIC091yPaJGkTz75xFjjYciQIQ5vdlraRUVFKWfOnCpdunSSHslZO8Pyi/WkjJ6xXrg7td28edPhiBfp/3O2no7M+nVSplCzjJx4MsazZn3+xPK2Hu1hfZz188RGhCQWIzn9n5Isaw2Fh4fHW1A+Nd27d0+//fabpLg1hpYtW6YmTZqoUKFCypgxo03hwjLqx54n12mxXp/FMiqsQIECNuu0HD16VDdv3pTk/Pos0ov53gcAAAAAAADwfHnuCy1ZsmTRZ599Jkk6dOiQfv/9d7ttrdfAWLduXarkU6pUKUnShQsXHE4hdOvWrUQXr09JUVFRCS42bvH48WMdPnxYkmzWp7F+fejQIUVHR9uNcf36dV28eDHBGM+a9fn37t3rsK31mhbWxzkTw8PDQ4ULFza2lylTRlLy+j8ldezY0Xg+bty4FI9vz5kzZ4z3ynvvvWe33d9//60HDx44jPXkOi1PThtmYT19mKWNyWQyik3OsLwHgoKCHBbCoqOjdejQIZtjAAAAAAAAAEB6AQotktSrVy9jTZShQ4faHdXSsGFDYzH3sWPH6vHjxymeS926dSVJsbGxmjt3rt12c+fOTfGpohLzyy+/2N23bNkyY2TBW2+9ZbPP8vrOnTtasmSJ3RgzZswwrunJGM9apUqVjJFIv/zyi93RJPfv39fChQslxY2QsF7fonbt2sZUTzNmzLB7rkuXLmn9+vXGMdZrsVj3Q1L7PyX5+fmpfPnykqSVK1c6fE8+aenSpQoPD3fqvNafLUdrHE2dOjXRWN7e3ipWrJik5BdaypQp81QjTCx/P7PZrJkzZ9ptt3jxYt29e9fmGAAAAAAAAACQXpBCS6ZMmfTFF19Iko4eParVq1cn2C5//vzGL/yPHDmi7t27Oyy2XL9+XdOnT09WLs2aNTOKPsOGDdOZM2fitTlz5oyGDRuWrLgpYcqUKdqxY0e87VevXtWnn34qKW5ERocOHWz2d+zY0ViU/r///a+Cg4PjxThy5IhGjBghKa6fmzZtmsLZJ4+bm5u6dOkiSTp+/HiC/W02m9WrVy/duHFDUlzBzpq3t7eaNWsmSVq7dm2CN9qjoqLUqVMnY/TGkzGqVq2qihUrSrLf/6GhoUb/pzSTyaS5c+caf7+OHTtq8uTJio2NtXvMjRs31Lt3b7Vo0cLhCCZHXnrpJWN6sNmzZyfYZtWqVZowYUKS4llGtaxZs0ZnzpyxWZ/Fwnqdlg0bNkh6+vVZmjVrJm9vb0nSiBEjEhyVFBwcbPP5sR5FBAAAAAAAAAAvRKFFknr06GGMRrDcOE/Id999Z0ztM3PmTJUrV07jx4/Xjh07dPjwYW3ZskWTJk1Ss2bN5OPjk6Rf3Ftzd3c3pmi6deuWqlWrpm+++UZ79uzRnj179M033+jVV19VbGys8Sv9pCy0/bS8vLzk7e2tt99+WwMHDtSOHTu0f/9+TZo0SZUqVdKlS5ckScOHDzcKRdbHfvvtt5LiFiKvXLmyxo4dq71792rXrl366quv9Prrr+vBgwcymUz68ccfjZFDaWnIkCEqUqSIpLjrat68uVatWqXAwEAtWbJEb775plEEqF69urp16xYvxtixY411d7p06aLOnTtr/fr1OnjwoObNm6dq1app48aNkqRWrVqpYcOG8WJMnjxZLi4uio6Ojtf/EydOVKVKlRQaGqpy5cqlSj+UKlVKixcvVubMmfX48WP17NlT5cqV09dff621a9cqMDBQ27dv17x589ShQwcVLVpUEydOfKpz5syZU35+fpKk1atXq0GDBlq2bJkOHjyoNWvWqEuXLmratKmKFClirLPiiKVgcu/ePUm267NYWK/Tcv/+fUlPtz6LJGXIkEE//vijTCaT7t+/r9dff11fffWVdu7cqb1792rs2LGqXLmyQkJCJEljxoxRrly5nuqcAAAAAAAAAP5ZXBJv8nzImDGjBg4cqN69eztslzlzZm3dulVt2rTRn3/+qRMnTuiTTz6x2z5r1qzJzuX999/X+fPnNXjwYN2+fdsYbWPh4eGhRYsWadSoUTpz5ozc3d2TfY7k8vDw0OLFi9WwYUONHDlSI0eOjNfm448/Vr9+/RI8/qOPPtKdO3c0ePBgXb9+PcF2bm5u+vHHH40b7GktS5Ys2rhxoxo2bKhTp05p2bJlWrZsWbx2NWrU0IoVK4xpwqwVKFBAGzduVOPGjRUSEqKZM2cmOLKlefPmdqcGq1atmmbPni1/f389fPgwXv+7uLgYo10crePyNBo2bKidO3fqo48+0s6dO3Xs2DEdO3bMbvucOXNq6NChTr3/LaZMmaLXX39dly5d0tq1a7V27Vqb/QULFtTvv/+epPeLvWnCEmpnWfvoaddnsWjUqJF+/vlnde/eXQ8ePNDQoUM1dOhQmzbp06fX8OHD1aNHj6c+HwAAAAAAAIB/lhdmRIskde3aVT4+Pom28/T01Jo1a7Rx40Z17NhRxYoVU+bMmeXi4iJPT09VqVJFPXv21OrVq421N5Lryy+/1NatW9W0aVPlzp1bbm5uKlSokDp16qQDBw7Iz8/P+HV+tmzZnDpHclWuXFmBgYH6+OOPVbRoUbm7uytnzpxq0KCBVq9erfHjxzs8fuDAgTp06JC6du2qokWLKmPGjMqUKZNKliypPn366NSpU2rfvv0zuZak8vX11ZEjRzRx4kTVqlVLOXPmVIYMGZQnTx41aNBAc+bM0bZt2xyu41GhQgX9/fffGjlypKpVq6bs2bPL1dVV3t7eat68uVasWKElS5Y4LJi9//77OnTokNq1aydvb2+5uroqf/78atWqlXbs2GFMc5aaypYtqx07dmjjxo36+OOPVb58eeXOnVsuLi7KmjWrSpQooTZt2mj+/Pm6fPmyevfurXTpnP8K8PHxUWBgoD777DMVL15cbm5uypYtm8qVK6ehQ4fq8OHDeuWVV5IUK3/+/CpatKjx2l6hxTJ9mBQ3kielRpd06NBBp06dUp8+fVSyZEllypRJGTNmVNGiRdW1a1cdOnRIAwYMSJFzAQAAAAAAAPhnMZmf9Yrt/xLR0dHKli2bIiMjNWjQIA0fPjytUwLwD3D58mWj4BwcHKwCBQqkcUYAAAAA0pJv/z/SOgUkUdCoRmmdAgBAqXN/7YUa0fIi+f333xUZGSlJevXVV9M4GwAAAAAAAAAAkBootDjp7NmzdvcFBQUZa5zkyZNH9evXf1ZpAQAAAAAAAACAZ8glrRN4Ub388svy8/NT48aNVapUKWXKlEnXr1/X5s2bNXXqVN25c0eSNGbMGLm40M0AAAAAAAAAAPwTUQFwUkxMjFauXKmVK1cmuD9dunT6+uuv1bZt22ecGV4kp0+fVlRUVLKPy507t3Lnzp0KGQEAAAAAAAAAkoNCi5NWrlypNWvWaNeuXbp27Zpu3rwpNzc35c+fX7Vr11bPnj1VunTptE4Tz7l69erp4sWLyT5u6NChCggISPmEAAAAAAAAAADJQqHFSY0bN1bjxo3TOg0AAAAAAAAAAJCGKLQAaSgoKCitUwAAAAAAAAAAPAUKLQAAAAAAAC+ooFGN0joFAAD+9dKldQIAAAAAAAAAAAAvKgotAAAAAAAAAAAATqLQAgAAAAAAAAAA4CQKLQAAAAAAAAAAAE6i0AIAAAAAAAAAAOAkCi0AAAAAAAAAAABOotACAAAAAAAAAADgJAotAAAAAAAAAAAATqLQAgAAAAAAAAAA4CQKLQAAAAAAAAAAAE6i0AIAAAAAAAAAAOAkCi0AAAAAAAAAAABOotACAAAAAAAAAADgJAotAAAAAAAAAAAATqLQAgAAAAAAAAAA4CQKLQAAAAAAAAAAAE6i0AIAAAAAAAAAAOAkCi0AAAAAAAAAAABOotACAAAAAAAAAADgJAotAAAAAAAAAAAATqLQAgAAAAAAAAAA4CQKLQAAAAAAAAAAAE6i0AIAAAAAAAAAAOAkCi0AAAAAAAAAAABOotACAAAAAAAAAADgJAotAAAAAAAAAAAATqLQAgAAAAAAAAAA4CQKLQAAAAAAAAAAAE6i0AIAAAAAAAAAAOAkCi0AAAAAAAAAAABOotACAAAAAAAAAADgJAotAAAAAAAAAAAATqLQAgAAAAAAAAAA4CQKLQAAAAAAAAAAAE6i0AIAAAAAAAAAAOAkCi0AAAAAAAAAAABOotACAAAAAAAAAADgJAotAAAAAAAAAAAATnJJ6wQAAAAAAADgHN/+f6R1Cv9oQaMapXUKAIAXACNaAAAAAAAAAAAAnEShBQAAAAAAAAAAwEkUWgAAAAAAAAAAAJxEoQUAAAAAAAAAAMBJFFoAAAAAAAAAAACcRKEFAAAAAAAAAADASRRaAAAAAAAAAAAAnPSvLLQEBATIZDLJZDKl2jm2bNlinGPLli1Ox/H395fJZJKvr2+K5ZbagoKCjGufNWtWWqfzzLyIf6vnQUq9X2bNmmXECQoKSrH8AAAAAAAAAMCRVC+0WBccTCaT3nvvvUSPsdywTs1CCPCisP78FCpUSFFRUQ7bWxccnqbIl9RzPPnIlCmTfH199Z///EezZ89ONF8AAAAAAAAAeJE98xEtCxcu1NGjR5/1aYF/hEuXLumnn35K6zQcioiI0MWLF7VixQp16NBBVapU0aVLl9I6LQAAAAAAAABIFc+80GI2mzV06NBnfVobAQEBMpvNMpvNaZoH4IwRI0bo4cOHaZ2G4euvv9bRo0eNx/r16zV27Fjly5dPkvTXX3/pnXfeUUxMTILH+/r6Gp9Hf3//Z5g5AAAAAAAAADy9Z1poyZUrlyRp2bJlCgwMfJanBl54ls9PSEiIpkyZksbZ/L/8+fOrdOnSxuOtt97SJ598olOnTumVV16RJB05ckS///572iYKAAAAAAAAAKngmRZa+vTpIzc3N0lK81EtwIvGz89PpUuXliSNHj1aERERaZyRY1mzZlX//v2N1+vXr0/DbAAAAAAAAAAgdTzTQkuBAgXUrVs3SdKqVau0d+9ep2OZzWYtXrxYLVq0kI+Pj9zd3ZUjRw5VrVpVw4cP1507d+weGxAQYCzc7cj27dvVvHlz5cmTR+7u7ipSpIg+/PBDnT17VpJUu3ZtmUwm1a5dO0k5L1y4UHXr1pWXl5cyZsyoEiVK6PPPP9etW7eSetm6cuWK+vXrp+LFi8vDw0NeXl7y8/PTmjVrknT80aNH1a1bNxUrVkweHh7KkiWLSpUqpb59+yooKMjucUFBQUafzZo1S5K0dOlS+fn5ydvbWy4uLg77Yf369WrSpIny5s0rNzc3FS5cWD169NDly5cTzTkqKkqTJ09WnTp15OXlJVdXV+XNm1d+fn6aO3euYmNjE43x4MEDjRo1StWrV5enp6fc3NxUoEABvfvuu1q1alWix0vSiRMn1KFDB+P95uPjow8++ED79+9P0vFPy2QyadiwYZKka9euaeLEiU8VLyX6NTEVK1Y0ngcHByfYJqH3VkJu376t/v376+WXX1bGjBmVO3duvfXWW1q0aFGyckqpz/Xly5c1YMAAVaxYUTly5JC7u7sKFiyo1q1ba/PmzcnKCQAAAAAAAMCLy+VZn3DAgAGaPn26IiMjNWTIEK1duzbZMcLCwtSsWTPt3LnTZvujR4+0f/9+7d+/X5MmTdLy5ctVrVo1p/L83//+p8GDB9us43LhwgVNmzZN8+fP1+LFi5McKyYmRm3atNH8+fNttp8+fVrffvutli1bpu3btytv3rwO4xw4cECNGjXS9evXjW2RkZFas2aN1qxZoz59+mjcuHF2jx85cqQGDRoU7wb6iRMndOLECU2ZMkU//vij2rdv7zAPs9ms9u3ba86cOQ7bWfTv31+jR4+22RYUFKSpU6dqyZIl2rp1q0qWLJngsRcvXlTDhg118uRJm+3Xrl0zrnvatGlavny5PD09E4xx6NAhNW7cWCEhITbbr1y5oiVLlmjJkiVq3ry55s2bJ3d39wRj/Prrr+rQoYOioqKMbZcvX9aCBQu0aNEiTZs2LdF+SAnNmjVT+fLldfjwYX3zzTfq0aOHsmTJkuw4KdGvSZE+fXrjuYuL8183J06c0FtvvaXQ0FBj28OHD7Vx40Zt3LhRnTp1Us2aNRONk1Kf6xkzZqh3796KjIy02R4cHKzg4GAtXLhQnTt31tSpU5/qugEAAAAAAAA8/57piBZJypcvn3r06CFJWrdunXbs2JGs48PDw1WrVi3t3LlTrq6u6t69u5YvX67AwEBt375d//vf/5QzZ05du3ZNDRs21MWLF5Od44IFCzRo0CCZzWblyJFDo0aN0q5du7Rr1y6NHj1aLi4ueu+992xu+joyZMgQzZ8/X02bNtXSpUt18OBBrV69Wo0aNZIknT17Vn379nUYIyIiQi1bttTdu3fVv39/bdu2TXv37tUPP/xgLDo+fvx4ff/99wkeP3nyZA0cOFCxsbHy8vLSmDFjtHv3bu3YsUMBAQHKlCmTHj16JH9/f61evdphLuPGjdOcOXNUs2ZNzZ8/XwcOHNCGDRvUrl27eG1/+uknjR49WrVq1bJpaynmhIWFqVOnTgme58GDB3rzzTeNYkDTpk21YsUKHThwQIsWLVKtWrUkSTt27FDjxo0TXGz9ypUrqlu3rkJCQmQymdSxY0etXbtWBw4c0OzZs1WuXDlJcaNzOnTokGAee/fuVbt27RQVFSU3N7d4/Z8rVy59+OGHOnz4sMN+Swkmk0lfffWVJOnmzZsaP358smOkRL8m1YkTJ4znvr6+TsW4e/eu6tevb3zeWrdurdWrV+vAgQOaP3++KleurJkzZ2ry5MkO46TU53rmzJnq0qWLIiMjVbp0aU2YMEE7duxQYGCglixZIj8/P0lxxZgvvvjCqWsGAAAAAAAA8OJIk59a9+/fX9OmTVN4eLiGDBmiTZs2JevYkydPKlu2bNqwYYMqV65ss//1119XmzZtVL16dYWGhmrQoEFJHnkhxY2K+eSTTyRJnp6e2r17t4oXL27sr169upo2barq1avr9OnTSYq5a9cuff311/ryyy9ttjdo0EANGjTQunXrtHjxYv3www/y8vJKMEZYWJju3LmjDRs26I033jC2V61aVS1atFC1atV0+fJlDR48WG3btlXu3Lltjv3ss88kSd7e3tqzZ498fHyM/TVq1NA777yjmjVrKjw8XN26ddOFCxeUIUOGBHP566+/1L59e82aNSvR6dd27dqlrl27atq0aTZt69atK1dXV02fPl179uzRoUOHVKFCBZtjhw0bpvPnz0uSBg0apOHDhxv7KlWqpBYtWqhdu3aaN2+edu/erR9//NEo4ll88sknun37tqS4ok/nzp1tYrRq1UoNGzbU5s2btXDhQvn7+6thw4Y2MXr27KnHjx8rQ4YMWrduXbz+b968uV599VUdOXLEYV+klCZNmqhq1arat2+fvv/+e/Xu3VvZsmVL8vEp0a9JERMTo7Fjxxqv33333WTHkKSvvvrKmGJuxIgRGjBggE2+7777rho3bqx169bZjZFSn+vg4GD17t1bktShQwdNnz7dZsRKhQoV1Lx5c3355ZcaMWKExo0bp+7du9ucKzGJTaeX1AIvAAAAAAAAgGfjmY9okSQvLy/16tVLkrR58+Ykr2dw48YNTZ8+XVLczdcniywWhQoV0uD/Y+/Ow2O6/jiOf4ZIIrFE7ESFlqqlaqeK0FpiKaG0tlpqqVa1lC7W2EqLqoooaqdKEUtrDyH2nQRtKbHGTlUsQfL7I8/ML5HMJLmSTPB+Pc88z2Tuued+753c/HE/OecMGiRJWrhwYbIWDQ8ICLBMzTVkyJAEH5AWL15cQ4YMSXKfFSpUUP/+/eN9bjKZ1KdPH0nSw4cPtWPHDpv9dO/ePc5DfrMCBQpo3LhxkmJGvsyePTvO9pkzZ1quwbhx4+KELGblypWzPMA+f/68li1bZrUONzc3+fn5JRqySDEjmCZOnJhg2759+1reBwcHx9l2//59y3ddsmRJ+fr6xtvfZDLJ399fOXPmlKR4a5aEh4crICBAklS/fv04IYuZk5OTZsyYYXlY/ngfu3fv1r59+yRZv/4FCxa0XP+0Yl6r5caNG1ZHMSUkJa5rYi5duqT169frjTfesIxYa9GiRZKm9kqo3pkzZ0qSXn311QRHiGTKlEnTp0+3GgxKKXdfT5gwQXfu3FGBAgVsTgs2dOhQFSxYUFFRUZozZ47NPh9XqFAhm6/KlSsnqz8AAAAAAAAAqcsuQYsk9evXz7K2hDkUSczatWt17949SVKrVq1stjU/EH/w4IHlQXlSBAYGSpIyZMiQ4FRYZu3atUtS0CBJbdq0sdq2QoUKlvfmUQbWdOrUyeo2Hx8fubm5SZI2bNgQZ5v5Zzc3N7Vo0cJqH126dIm3T0KaNGmS5HVB3nnnHTk5OSW47eWXX1aWLFkkxT/3ffv26ebNm5Kkjh07xlnrI7Zs2bJZfheOHj0a57/9N23aZJn2KqGQxczT01N169aVJAUFBcWZKiv2dUjq9U8LDRo0UPXq1SXFTOV2/fr1JO2XEtf1cZ06dbIsZm8ymZQvXz7Vq1dPO3fulLOzs3r16qUFCxYk4+zi1msekdShQwdlyJDwnywPDw/Vq1fPaj8pdV8vX75cUsw9YG09HylmPZpq1apJUqIBKgAAAAAAAICnm92Clpw5c1qm8tm2bZvWrl2b6D579+61vM+fP3+ch7uPv0qXLm1pe/HixSTXFRoaKkkqUqSIcuTIYbWdu7u7ihYtmqQ+S5QoYbMfs//++89qO0dHR7366qtWt2fKlMky9Zb5HMzMP5crV87mf/3nzZvXso7G433EZquOx9k6d0mWa/z4ucc+fpUqVWz2EXt77P2M9HHnzp04oU9ISIik5F3/tGJeq+XWrVsaM2ZMkvZJieuaHBUqVNDnn39u8/fOFvP1l6RKlSrZbGtrpEdK3Nf//vuvTpw4IUmWqfBsvRYvXiwpeX9/pJjpyWy9du/enaz+AAAAAAAAAKQuuwUtktSnTx/LKIDBgwcn2t489U9yJWfqMPN/z8de48Qaa+upPM7FxcXqttj/oW9r0XF3d3er0xSZ5c2bV5LijW4w/2zebku+fPkS7CM2Ww+qH2fr3KX/n//j5x77+InVba758f1Sog/z70Nyrn9aqVOnjry8vCRJEydO1JUrVxLdJyWuyeNGjBihkJAQhYSEaP/+/Vq2bJlat24tk8mkbdu2qVatWkmqLSHm6y8lfk/aOp+UuK/T4u+PFDM6x9Yrf/78huoAAAAAAAAAkDpsPzlOZW5uburTp48GDx6s3bt36/fff1fjxo2ttjc/jHd0dEzWdGAeHh5PXKu9JWWasujo6FTvQ5LV6aZSS2J1J6XmxFjrw/x5Sl27lDZ8+HDVqFFDERER+vbbbzV27Ngk75tS17VgwYJxRpCVK1dOTZs2VY0aNfTRRx8pLCxMXbp0sUy7lRyxa0iL3wNbYoeBn332mc3p6GJzdHRMrZIAAAAAAAAApAN2DVqkmAeWEyZM0LVr1zR48GA1atTIalvz4tyRkZHKmTNnqvxnt3m0RlL+e93of+kbce3aNT169MhmyGGuOfZ0ZOafw8PDkzSF0aVLlxLsI63FPv7FixcTXLzczFzz4/vFfn/p0iW98MILhvtIzvVPS2+88Ybq1q2r9evXy9/fX3379rXZPiWua1L16NFDv//+u1atWqUVK1YoMDBQb775ZrL6ePw7tFWvreufEve1+e+PFDNKJXa4BAAAAAAAAOD5ZdepwyQpa9as6tevnyTpwIEDWrZsmdW2sdfAWLduXarUU6pUKUnSqVOnbE6XdP369UQXr09JkZGROnTokNXtDx8+1MGDByUp3gNg888HDhzQgwcPrPZx+fJlnT59OsE+0lrs4+/atctm29hrVsTez0gfLi4uKlKkiOXzMmXKSEre9U9rw4cPlyTdvXtXo0aNstk2Ja5rcnz77beWkSgDBgxI9v7m6y9Je/bssdnW1vaUuK9z586tggULSpI2bNhglxFMAAAAAAAAANIfuwctktSzZ0/L2glDhgyx+gDT29vbsqj2+PHj9fDhwxSvxfwf91FRUZo3b57VdvPmzUvzB62zZ8+2ui0gIMCyDsVbb70VZ5v555s3b2rJkiVW+5g+fbrlnB7vI61VqFDBsn7P7Nmzra5f899//2nRokWSpJIlS8YZ5eTl5WUZgTJ9+nSrxzpz5ozWr19v2Sf2Wiyxr0NSr39aq1KlimUk2JQpU3Tu3DmrbVPiuiZH6dKl5ePjIykm2DFf56SqUKGCZTTK3Llzrd5z58+ftxm+ptR9/fbbb0uSTp48aVnsHgAAAAAAAMDzLV0ELa6urvryyy8lSSEhIVq1alWC7QoWLKhOnTpJkg4dOqTu3bvbDFsuX76sn3/+OVm1+Pj4WEKfoUOH6vjx4/HaHD9+XEOHDk1Wvylh8uTJ2rp1a7zPL168aJkyysXFRR06dIizvVOnTpZF6T///HOdPXs2Xh+HDh3SN998IynmOjdr1iyFq08eJycndenSRZJ05MiRBK93dHS0evbsqatXr0qKCexiK1CggOUh/9q1azVjxox4fURGRqpz586WkT6P91G5cmWVL19ekvXrHx4enuiUXalt2LBhkqT79+9rwoQJVtulxHVNroEDB1rejxgxIln7Ojk5We75gwcPasyYMfHaPHz4UF27dlVkZKTVflLqvu7Xr5+cnJwkSR9++KH27t1rs/2qVat0+PBhm20AAAAAAAAAPN3SRdAixaznYP6vefMD3oSMGzfOMo3RjBkzVLZsWU2YMEFbt27VwYMHFRQUpEmTJsnHx0eFChXSTz/9lKw6nJ2d9cMPP0iKmUaoSpUq+u6777Rz507t3LlT3333napWraqoqCgVK1ZMUtIWSn9SuXPnVoECBVS3bl31799fW7du1Z49ezRp0iRVqFBBZ86ckRQzjZT5gXLsfc0PqC9cuKCKFStq/Pjx2rVrl7Zv365hw4bpjTfe0O3bt2UymTR16lTLyCF7Gjx4sIoWLSop5ryaN2+u33//Xfv379eSJUtUp04dzZkzR5JUrVo1devWLV4f48ePt4yI6NKliz744AOtX79e+/bt0/z581WlShUFBgZKklq1aiVvb+94ffj7+8vBwUEPHjyId/39/PxUoUIFhYeHq2zZsql1KRJVvnx5Szhm6/6RUua6Jke5cuUsI262bNmi4ODgZO0/ePBgeXh4SJK+/PJLtWnTRmvWrNH+/fv166+/6vXXX9fq1atVqVIlq32k1H1dpEgRy9+U69evq3r16urSpYuWLVum/fv3a/fu3Vq6dKm++uorvfTSS2rUqJHl3gQAAAAAAADwbHJIvEnayJw5s/r3769PPvnEZrssWbJo8+bNatu2rdasWaOjR4/qs88+s9o+W7Zsya6ldevWOnnypAYNGqQbN25YRtuYubi46LffftPo0aN1/PhxOTs7J/sYyeXi4qLFixfL29tbo0aNSnAtjl69eqlPnz4J7v/RRx/p5s2bGjRokC5fvpxgOycnJ02dOlUNGzZM8fqNyJo1qwIDA+Xt7a0///xTAQEBCggIiNeuevXqWrFiRYIL1Xt4eCgwMFCNGzfWhQsXNGPGjARHtjRv3tzq1GBVqlTRnDlz1LFjR927dy/e9XdwcLCMdrG1jktqGzp0qJYvX57olHYpcV2Ta9CgQfrjjz8kxYxqWbt2bZL3zZ49u9asWaO33npLFy9e1IIFC7RgwYI4bTp16qSaNWtaRr8kJKXu644dOypz5szq1q2bbt26penTp1udmi5DhgxydXVN8rkCAAAAAAAAePqkmxEtktS1a1cVKlQo0Xbu7u5avXq1AgMD1alTJxUrVkxZsmSRg4OD3N3dValSJX388cdatWpVsteEMBswYIA2b96sZs2aKU+ePHJyclLhwoXVuXNn7d27Vw0bNtStW7ckxTwITgsVK1bU/v371atXL7344otydnZWzpw51aBBA61atcrmlFGS1L9/fx04cEBdu3bViy++qMyZM8vV1VWvvPKKPv30U/355596//330+RcksrT01OHDh2Sn5+fatWqpZw5cypTpkzKmzevGjRooLlz52rLli1yd3e32ke5cuX0119/adSoUapSpYrc3Nzk6OioAgUKqHnz5lqxYoWWLFliMzBr3bq1Dhw4oPbt26tAgQJydHRUwYIF1apVK23dutUyHZc9vfrqq2rZsmWS2qbEdU2OKlWqqG7dupKkdevWaffu3cnav1SpUjpy5Ii++OILFStWTE5OTsqVK5dq166tX375JcHwLCEpdV+/++67CgsL0+jRo+Xl5aU8efIoU6ZMcnFxUdGiRdWkSRN9//33CgsLU+3atZN1rgAAAAAAAACeLqbotF7R/Rnx4MEDZc+eXXfv3tXAgQM1fPhwe5cE4Ak9Dff1uXPnLIH02bNnLdOqAQAAAHg+eX71h71LeKaFjW5k7xIAACksNZ6vpasRLU+TZcuW6e7du5KkqlWr2rkaACmB+xoAAAAAAABAchG0WHHixAmr28LCwixrnOTNm1f169dPq7IAPAHuawAAAAAAAAApzcHeBaRXJUqUUMOGDdW4cWOVKlVKrq6uunz5sjZt2qSffvpJN2/elCSNHTtWDg5cRuBpwH0NAAAAAAAAIKXxJNGKR48eaeXKlVq5cmWC2zNkyKARI0aoXbt2aVwZniZ///23IiMjk71fnjx5lCdPnlSo6PnGfQ0AAAAAAAAgpRG0WLFy5UqtXr1a27dv16VLl3Tt2jU5OTmpYMGC8vLy0scff6zSpUvbu0ykc/Xq1dPp06eTvd+QIUPk6+ub8gU957ivAQAAAAAAAKQ0ghYrGjdurMaNG9u7DAApiPsaAAAAAAAAQEojaAFSUVhYmL1LAAAAAAAAAACkIoIWAAAAAACAp1TY6Eb2LgEAgOdeBnsXAAAAAAAAAAAA8LQiaAEAAAAAAAAAADCIoAUAAAAAAAAAAMAgghYAAAAAAAAAAACDCFoAAAAAAAAAAAAMImgBAAAAAAAAAAAwiKAFAAAAAAAAAADAIIIWAAAAAAAAAAAAgwhaAAAAAAAAAAAADCJoAQAAAAAAAAAAMIigBQAAAAAAAAAAwCCCFgAAAAAAAAAAAIMIWgAAAAAAAAAAAAwiaAEAAAAAAAAAADCIoAUAAAAAAAAAAMAgghYAAAAAAAAAAACDCFoAAAAAAAAAAAAMImgBAAAAAAAAAAAwiKAFAAAAAAAAAADAIIIWAAAAAAAAAAAAgwhaAAAAAAAAAAAADCJoAQAAAAAAAAAAMIigBQAAAAAAAAAAwCCCFgAAAAAAAAAAAIMIWgAAAAAAAAAAAAwiaAEAAAAAAAAAADCIoAUAAAAAAAAAAMAgghYAAAAAAAAAAACDCFoAAAAAAAAAAAAMImgBAAAAAAAAAAAwiKAFAAAAAAAAAADAIIIWAAAAAAAAAAAAgwhaAAAAAAAAAAAADCJoAQAAAAAAAAAAMIigBQAAAAAAAAAAwCCCFgAAAAAAAAAAAIMIWgAAAAAAAAAAAAwiaAEAAAAAAAAAADDIwd4FAAAAAAAAwBjPr/6wdwlPhbDRjexdAgDgGcaIFgAAAAAAAAAAAIMIWgAAAAAAAAAAAAwiaAEAAAAAAAAAADCIoAUAAAAAAAAAAMAgghYAAAAAAAAAAACDCFoAAAAAAAAAAAAMImgBAAAAAAAAAAAwiKAFsANfX1+ZTCaZTCZ7l5LqgoKCLOcaFBRk73IAAAAAAAAAIEURtCDFxH6gnpTXrFmz7F0ynjKzZs1K1u9YQi8vLy97nwYAAAAAAACAZwhBC5BCYocAYWFh9i4HAAAAAAAAAJAGHOxdAJ5NPXr00EcffWSzjYeHRxpVk/74+vrK19fX3mU8dZo1a6aKFSsmuO3ChQuqX7++JKlp06YaMWJEgu1cXV1TrT4AAAAAAAAAzx+CFqSKPHnyqHTp0vYuA88YNzc3ubm5JbgtS5Yscdrx+wcAAAAAAAAgLTB1GAAAAAAAAAAAgEEELbCrsLAwy7oms2bNstnW09NTJpNJHTt2jLft8fVRoqKiNHXqVL3++uvKkSOHXF1d9eqrr2rkyJG6c+dOonVFRUVpwYIFatGihV544QVlzpxZOXPmVNmyZdW5c2etWbNGDx8+lCQFBQXJZDKpU6dOlv2LFCkSbxH2oKAgy3ZfX1/L54ldn969e6tUqVLKmjWrXFxcVKxYMXXv3l0hISE29zX3b56ibM+ePWrdurU8PDzk5OSkggULqn379jp27JjNfk6ePKlx48apSZMm8vT0VObMmZU5c2YVLlxY7777rtasWWNz//SgefPmMplMypEjh+7du2ez7cOHD5UvXz6ZTCbVq1cvzjYvLy+ZTCZ5eXlJkv766y9169ZNRYoUkbOzs/Lnz6+WLVtqx44dqXUqAAAAAAAAANIZpg7DMyciIkJ169bVxo0b43weEhKikJAQrVixQhs3brS6VkdYWJh8fHx08ODBOJ/fu3dP169f1+HDhzVz5kxt2rTJ8sA9NcyZM0fdunXT/fv343x+4sQJnThxQtOnT9fw4cP19ddfJ9qXn5+fevfubQmHpJg1TebNm6elS5dq9erVqlmzZrz9Tp06pRdffDHBPs+cOaMzZ85o0aJFateunWbOnCkHh/T5J6VLly4KCAjQzZs3tWzZMr333ntW265atUqXLl2SJHXu3Nlqu9WrV6tly5aKiIiwfHbx4kUtXrxYS5cu1ZgxY9SnT5+UOwkAAAAAAAAA6RIjWvDM6datm4KCgtShQwf98ccf2rdvnwICAlStWjVJ0u7du60ulH7p0iVVr17dErLUqVNHs2fP1q5du7R7924tXLhQ3bt3l7u7u2WfSpUqKSQkJE6fa9eutQQ75lelSpWSfA5//PGHOnbsqPv37ytLliwaMmSIgoODtWPHDo0bN065cuXSo0eP1L9/f02ePNlmX2vXrlWvXr1UqlQpzZgxQ3v27NGWLVvUu3dvZciQQXfu3FH79u0VGRkZb99Hjx7J0dFRTZo00Y8//qgNGzZo//792rBhg/z9/VWqVClJ0rx58zR8+PAkn19aa9CggQoVKiRJmjlzps225u05cuSQj49Pgm0uXLigNm3ayMHBQd988422b9+u7du3a+TIkcqWLZuioqL0+eefa+nSpSl7IgAAAAAAAADSnfT57+d46l2+fFmhoaFWt+fJk0d58uRJlWNv375dc+fOVbt27SyflS9fXt7e3qpYsaJCQ0M1bdo0DR8+PN4IjA8//FAXLlyQJH377bf64osv4myvVKmSWrVqpXHjxlmCCVdXV5UuXVp79+61tCtevLg8PT0N1f/gwQN1795d0dHRypIli4KDg/Xaa69ZtletWlUtWrRQtWrVFB4err59+6ply5bKlStXgv3t3LlTDRs2VEBAgBwdHS2f16hRQzlz5tTAgQN15swZ/fHHH/GChfz58yssLEz58+eP1++bb76pDz/8UJ07d9asWbM0btw49enTR9mzZzd03qkpQ4YM6tSpk4YNG6YNGzbo7NmzluAltsuXL+uPP/6QJLVt21ZOTk4J9nf8+HFlz55dO3bs0CuvvGL5vFq1amratKlef/113bp1S5988okaN24c57on5ty5cza3h4eHJ7kvAAAAAAAAAKmPES1IFZMnT1aZMmWsvvz9/VPt2M2bN48Tspg5OTmpZ8+ekqRr167p6NGjcbb/+eefWr58uSSpadOm8UKW2FxdXZUjR44UrPr/AgICdP78eUnSgAED4oQsZoULF9aYMWMkSXfu3LE5SsPZ2VkzZ85M8GF/r169LJ8HBwfH2+7q6ppgyGJmMpk0btw4ZcyYUREREdqwYYPNc7Onzp07K0OGDIqKitKcOXMSbDNv3jw9ePDA0t6WQYMGxQlZzEqVKqUBAwZIihn5Yv6dSqpChQrZfFWuXDlZ/QEAAAAAAABIXQQteOa0bdvW6rYKFSpY3p88eTLOtlWrVik6OlqS1Lt379QpLgnMYYXJZLL5sL9ly5aW0SO2Ao66detaHT2UNWtWFStWTFL865GQBw8e6Ny5czp27JhCQ0MVGhqqCxcuKGfOnJKkQ4cOJdqHvRQuXFhvvfWWJGnWrFkJtjEHVq+99prKlStntS+TyaQOHTpY3d6pUyeZTCZJtr8bAAAAAAAAAE8/pg5DqhgyZIh8fX3tcuwSJUpY3RZ7bZX//vsvzrYDBw5IkjJlyqSqVaumTnFJYJ5yzdPT0+b0ao6OjipXrpyCgoJsTtNm63pI/78mj18PswcPHmjq1KmaO3euDhw4kOBaLmZXr161eSx769Kli9atW6cTJ04oODhYNWrUsGzbu3ev5TomNpqlSJEiVqdqk6TcuXPL09NTp06dsvndJOTs2bM2t4eHhzOqBQAAAAAAAEhHCFrwzHFxcbG6LUOG/w/ievToUZxt5pDA3d3d6tocaeH69euSpLx58ybaNl++fHH2SYit6yH9/5o8fj3M/darV0/79u1LtBZJunv3bpLa2UvTpk2VO3duXblyRTNnzowTtMyYMUNSzBRztkZFSUrS+kJ58+bVqVOnbH43CfHw8EhWewAAAAAAAAD2xdRhwGPMUz7ZW1LqME91llo+/fRTS8jSrFkzrVixQmFhYbpz546ioqIUHR2t6Ohoy8LyqV3Pk3J0dNT7778vSfrtt990+/ZtSdK9e/f066+/Soo5z9gjnxKSHr4bAAAAAAAAAOkDQQvsKvYIk6ioKJttIyIiUrUW81RQ165dszk9VmozP+S/ePFiom0vXboUZ5+UdOvWLS1cuFCS1KZNGwUEBKhJkyYqXLiwMmfOHCdsuHHjRoofP7V06dJFknT79m0tXrxYkrRs2TLLOSQ2bZj0/+tuy+XLlyWlzncDAAAAAAAAIP0gaIFdZc2a1fLe1sP6a9eupfr6H+XLl5cUsybJjh07kr1/So2EKV26tCQpLCzM8rA+IQ8ePLCsK2PeJyUdP35cDx48kCS99957Vtv99ddflpEhT4MSJUqoevXqkqSZM2dK+v+0YS+88ILeeuutRPs4deqUrl27ZnX7lStXFBYWJil1vhsAAAAAAAAA6QdBC+wqR44ccnNzkxSzGLk1CxYsSPVaGjVqZAlLxo8fn+z9nZ2dLe/v379vuA7zg/7o6GhLAJCQxYsX699//42zT0p6+PCh5f2dO3estvvpp59S/NiprWvXrpKkLVu2aNOmTQoMDJQkdezYMc4oK2uio6M1Z84cq9tnzZplmTosNb4bAAAAAAAAAOkHQQvsrmbNmpKk5cuX659//om3/dixYxo8eHCq11G8eHH5+PhYahkzZozVthEREfFG4OTPn9/yPqHzSCofHx8VKFBAkvTNN9/o0KFD8dqcPXtWffv2lRSz2H2nTp0MH8+al156yRI8WQsVfv/9d02cODHFj53aWrZsqezZs0uKmRYtKipKJpMpWddx+PDh+uuvv+J9fuzYMY0cOVJSzO9E06ZNU6ZoAAAAAAAAAOkSQQvs7qOPPpIk3b17V15eXpo+fbr279+vLVu2aPDgwapatapy5syp3Llzp3ot/v7+lpDjiy++0Jtvvqm5c+dqz5492rt3rxYvXqyePXuqcOHC8QKQcuXKWUa1DBo0SOvWrdPff/+tEydO6MSJE7p7926SasiUKZOmTp0qk8mk//77T2+88YaGDRumbdu2adeuXRo/frwqVqyoCxcuSJLGjh1rWV8mJeXMmVMNGzaUJK1atUoNGjRQQECA9u3bp9WrV6tLly5q1qyZihYtmibfTUpycXFR69atJf1/LZzatWvL09MzSfsXK1ZMUVFRqlq1qkaPHq2dO3dq586dGj16tKpVq2YZaTRx4kQ5OjqmyjkAAAAAAAAASB8c7F0AUL9+ffXq1Us//vijzp07Z1ms3KxQoUJavny55aF/asqbN6+Cg4PVtGlThYaGauPGjdq4cWOS9s2aNat69eql7777Tvv371f9+vXjbN+0aZO8vLyS1FejRo00c+ZMde/eXbdv39aQIUM0ZMiQOG0yZsyo4cOHq0ePHknq04jJkyfrjTfe0JkzZ7R27VqtXbs2zvYXXnhBy5YtS5PvJqV16dIlzrRnH3zwQZL3LVCggMaPH69WrVrp66+/jrc9Q4YM+u6779SiRYsUqRUAAAAAAABA+sWIFqQLEyZM0C+//KKaNWsqW7Zsypw5s15++WV99dVXOnDggEqWLJlmtRQtWlQHDx7UrFmz1KhRI+XPn1+Ojo7KlSuXypYtq65du2rDhg2WKc9iGz16tKZNm6YaNWrI3d1dGTNmNFxHhw4d9Oeff+rTTz/VK6+8IldXV2XOnFkvvviiunbtqgMHDiT4kD8lFSpUSPv371e/fv1UvHhxOTk5KXv27CpbtqyGDBmigwcPpul3k5IqVKhgqd3NzU3NmzdP1v6NGjXS3r171alTJxUuXFiOjo7KkyePWrRooa1bt+rzzz9PjbIBAAAAAAAApDOmaPOKzQDwHPnvv/+UL18+3blzRz169JC/v3+i+3h5eWnz5s2qVauWgoKCUr/IBJw7d06FChWSFLNWj4eHh13qAAAAAJA+eH71h71LeCqEjW5k7xIAAOlEajxfY0QLgOfSr7/+qjt37khK3rRhAAAAAAAAABAbQQuA586jR480fvx4STFTiFWoUMHOFQEAAAAAAAB4WjnYuwAASAvXr1/X9evXde3aNf3www86duyYJKX6OjcAAAAAAAAAnm0ELQDS3M2bN3Xu3DlD+5YuXdrQfj/++KOGDh0a57NGjRqpRYsWhvoDAAAAAAAAAImgBYAdLFu2TJ06dTK0b3R09BMd28HBQYULF1br1q0ZzQIAAAAAAADgiRG0AHgu+Pr6ytfX94n6CAoKSpFaAAAAAAAAADw7Mti7AADPn44dOyo6OtrQCwAAAAAAAADSE0a0AAAAAAAAPKXCRjeydwkAADz3GNECAAAAAAAAAABgEEELAAAAAAAAAACAQQQtAAAAAAAAAAAABhG0AAAAAAAAAAAAGETQAgAAAAAAAAAAYBBBCwAAAAAAAAAAgEEELQAAAAAAAAAAAAYRtAAAAAAAAAAAABhE0AIAAAAAAAAAAGAQQQsAAAAAAAAAAIBBBC0AAAAAAAAAAAAGEbQAAAAAAAAAAAAYRNACAAAAAAAAAABgEEELAAAAAAAAAACAQQQtAAAAAAAAAAAABhG0AAAAAAAAAAAAGETQAgAAAAAAAAAAYBBBCwAAAAAAAAAAgEEELQAAAAAAAAAAAAYRtAAAAAAAAAAAABhE0AIAAAAAAAAAAGAQQQsAAAAAAAAAAIBBBC0AAAAAAAAAAAAGEbQAAAAAAAAAAAAYRNACAAAAAAAAAABgEEELAAAAAAAAAACAQQQtAAAAAAAAAAAABhG0AAAAAAAAAAAAGETQAgAAAAAAAAAAYBBBCwAAAAAAAAAAgEEELQAAAAAAAAAAAAYRtAAAAAAAAAAAABhE0AIAAAAAAAAAAGAQQQsAAAAAAAAAAIBBBC0AAAAAAAAAAAAGEbQAAAAAAAAAAAAYRNACAAAAAAAAAABgEEELAAAAAAAAAACAQQ72LgAAAAAAAADGeH71h71LSPfCRjeydwkAgGccI1oAAAAAAAAAAAAMImgBAAAAAAAAAAAwiKAFAAAAAAAAAADAIIIWAAAAAAAAAAAAgwhaAAAAAAAAAAAADCJoAQAAAAAAAAAAMIigBQAAAAAAAAAAwCCCFgAAAAAAAAAAAIMIWoBnRFBQkEwmk0wmk3x9fe1dTrKMGDHCUnvWrFl1584de5cEAAAAAAAAAElC0ALgifn6+lqCEiPmzp1reX/79m0tXbo0pUoDAAAAAAAAgFRF0ALArnbu3Km///5bkpQlSxZJ0pw5c+xZEgAAAAAAAAAkGUELALsyhyq5cuXSoEGDJEmBgYE6f/68PcsCAAAAAAAAgCQhaAFgN5GRkVq4cKEkqVWrVnr//feVMWNGRUVFaf78+XauDgAAAAAAAAASR9ACQFJM6OHv76/atWsrd+7ccnR0VL58+dSwYUPNmzdPUVFR8faZNWuWTCaThg4davnMvFZL7FdYWFiCx1y5cqWuX78uSWrXrp3y5cunOnXqSEra9GFeXl4ymUzy8vKSJB0/flw9e/ZUsWLF5OLikuCxHz58qOnTp6thw4YqUKCAnJyclCtXLtWsWVM//PCD7t27Z/V4UVFR2rhxo/r27avq1asrV65cypQpk9zc3PTaa6+pb9++OnPmTKJ1AwAAAAAAAHh2ONi7AAD2d/r0aXl7e+vYsWNxPr906ZJWr16t1atXa8qUKVq+fLnc3d1T7LjmMOXFF19UtWrVJMUELuvXr9eRI0e0f/9+lS9fPkl9LV++XG3btlVERITVNv/884/efvttHT16NM7n165dU3BwsIKDg+Xv768//vhDxYoVi7f/sGHD4oRKZv/++68OHTqkQ4cOafLkyZo3b558fHySVDcAAAAAAACApxtBC/Ccu337turUqaOTJ09Kkpo1a6bOnTurQIECOnXqlPz8/LR582Zt3bpVjRs3VnBwsDJmzGhpW7FiRfn7+2vy5MmSpJCQkHjHKFiwYLzPrl69qtWrV0uS2rZta/m8efPm6tGjh+7cuaM5c+YkKWg5c+aM2rVrJxcXFw0aNEg1atRQxowZtWfPHmXJkkWSFB4erurVq+vSpUvKmjWrunXrprfeekt58+bVv//+q3Xr1mnChAk6fvy4GjRooP379yt79uxxjvPw4UPlz59fPj4+qlatmooWLSpnZ2edPXtW27dvl7+/v27fvq02bdpo//79euWVV5LyFQAAAAAAAAB4ihG0AM+5oUOHWkKWgQMHavjw4ZZtFSpUUIsWLdS+fXvNnz9fO3bs0NSpU9WjRw9Jkpubm9zc3JQnTx7LPqVLl07ScX/55Rc9ePBAUswoFrMsWbKoadOmWrBggRYsWKCxY8fKwcH2n6pTp06pQIEC2rFjh1544QXL51WqVLG879atmy5duqRChQopKChIRYsWjdOHl5eXWrZsqRo1aujkyZMaO3ZsnGshSV26dNGQIUOUKVOmOJ+XL19eTZs21SeffKKqVavq/Pnz+uabbzR37twkXYvYzp07Z3N7eHh4svsEAAAAAAAAkHpYowV4jt2/f18///yzJKlkyZLy9fWN18ZkMsnf3185c+aUJPn5+aXIsc3ThlWuXDneNF3m4OXy5ctas2ZNkvobPXp0nJAlttDQUP3++++SYup/PGQxK1eunD7++GNJ0owZM+Jt9/T0jBeyxObh4aF+/fpJklasWKHo6Ogk1R5boUKFbL4qV66c7D4BAAAAAAAApB6CFuA5tm/fPt28eVOS1LFjR8uUYI/Lli2bWrVqJUk6evToE4+qOHr0qPbt2ycp7mgWs3r16llGySRlVIijo6Natmxpdfvy5cslSS4uLmrUqJHNvmrWrClJunDhgs6ePWuz7a1bt3Tq1CkdOXJEoaGhCg0NlYuLS5xtAAAAAAAAAJ5tTB0GPMdCQ0Mt72NPs5WQKlWqWNZhCQ0NVf78+Q0fd/bs2ZIkBwcHvffee/G2Ozg46N1339XEiRO1YsUK/fvvv/HWS4mtWLFicnZ2trp97969kqQ7d+4kOg1ZbBcvXlShQoXifHb69GmNHTtWK1eu1OnTp23uf/XqVaujZ6xJLNwJDw9nVAsAAAAAAACQjhC0AM+x69evW97nzZvXZtt8+fIluF9yRUVFaf78+ZJiRq7kzp07wXbt2rXTxIkTde/ePS1atEhdu3a12meOHDlsHvPy5cuGar1z506cn1evXq133nkn3ufW3L17N9nH9PDwSPY+AAAAAAAAAOyHoAWApJi1WGwxst5IQgIDA3X+/HlJ0qpVqxI9rhSznoutoMXalGdmjx49kiQVKVJEK1asSHKtRYoUsby/du2a2rRpozt37ihLlizq27ev6tevrxdffFHZs2eXo6OjJGnjxo168803JaXcNQMAAAAAAACQfhG0AM8xd3d3y/uLFy+qePHiVtteunQpwf2SyzxtWHJs27ZNJ0+eTPY0XGY5c+aUFHMOJUqUSNb0YWa//fabZT2bpUuXqm7dugm2u3HjhqEaAQAAAAAAADydCFqA51jp0qUt73ft2mVZCD4hu3fvTnA/KfHRMGa3b99WQECAJOnNN99Uly5dbLaPiIhQly5dFB0drblz52rIkCFJOs7jypUrp1WrVunOnTvatm2batWqlew+jhw5IikmZLIWskj/Xw8GAAAAAAAAwPOBoAV4jlWoUEFubm66efOmZs+erT59+iQ4Ddd///2nRYsWSZJKliyp/Pnzx9keeyH6+/fvy8nJKcHjLV682LK+SY8ePdSiRYtEa5w8ebL27dv3REFL06ZNNXLkSEnSd999ZyhoefjwoaSY84uKilKGDBnitblz547mzJljqEYAAAAAAAAAT6f4TwoBPDecnJwso0qOHDmioUOHxmsTHR2tnj176urVq5Kknj17xmsTO3j5559/rB7PHEK4uLjI29s7STW+8847ln63bduWpH0eV6lSJdWrV09SzLowiQU2YWFhWrBgQZzPihUrJilmlM3ixYvj7fPo0SN16dJFFy5cMFQjAAAAAAAAgKcTI1qAZ9DBgwc1a9asRNu98cYbGjx4sJYuXaqTJ09q+PDhCg0NVefOnVWgQAGdOnVKfn5+CgoKkiRVq1ZN3bp1i9fP66+/bnnfu3dvDRgwQPnz57dMKebp6akLFy5Y+vH29paLi0uSzqVFixb6+uuvJcUENdWrV0/Sfo+bOXOmKlasqPDwcA0bNkxr165V586dVaZMGTk7O+vatWs6fPiw1qxZo40bN6pZs2Zq3bq1Zf9WrVqpf//+un//vjp27KiDBw/qrbfeUrZs2XTkyBFNnDhR+/btU/Xq1Q0HQgAAAAAAAACePgQtwDNo+fLlWr58eaLtZs6cqY4dOyowMFDe3t76888/FRAQYFlHJbbq1atrxYoVCU4t9tJLL6lVq1ZatGiR1q1bp3Xr1sXZfurUKc2fP1/R0dGS/j9KJSmKFSumV199VYcPH9aiRYv0448/Wp2azJYCBQpox44datmypfbs2aNdu3Zp165dVttny5Ytzs8eHh6aPHmyunTport372rUqFEaNWpUnDbvvvuuunbtqrfeeivZ9QEAAAAAAAB4OjF1GAB5enrq0KFD8vPzU61atZQzZ05lypRJefPmVYMGDTR37lxt2bJF7u7uVvuYN2+evvvuO1WuXFnZs2ePt4bJ3LlzJcVMV9aoUaNk1Wdey+XmzZtasWJFMs/u/woXLqxdu3YpICBA7733nooUKSIXFxdlypRJuXPn1uuvv67PP/9cmzdv1vTp0+Pt36lTJwUHB6tZs2bKnTu3MmXKpPz586tBgwZauHChfv311wSDKAAAAAAAAADPLlO0+V/MAQDp3rlz51SoUCFJ0tmzZ+Xh4WHnigAAAADYk+dXf9i7hHQvbHTy/tkPAPBsS43na4xoAQAAAAAAAAAAMIigBQAAAAAAAAAAwCCCFgAAAAAAAAAAAIMIWgAAAAAAAAAAAAwiaAEAAAAAAAAAADCIoAUAAAAAAAAAAMAgghYAAAAAAAAAAACDHOxdAAAAAAAAAIwJG93I3iUAAPDcY0QLAAAAAAAAAACAQQQtAAAAAAAAAAAABhG0AAAAAAAAAAAAGETQAgAAAAAAAAAAYBBBCwAAAAAAAAAAgEEELQAAAAAAAAAAAAYRtAAAAAAAAAAAABhE0AIAAAAAAAAAAGAQQQsAAAAAAAAAAIBBBC0AAAAAAAAAAAAGEbQAAAAAAAAAAAAYRNACAAAAAAAAAABgEEELAAAAAAAAAACAQQQtAAAAAAAAAAAABhG0AAAAAAAAAAAAGETQAgAAAAAAAAAAYBBBCwAAAAAAAAAAgEEELQAAAAAAAAAAAAYRtAAAAAAAAAAAABhE0AIAAAAAAAAAAGAQQQsAAAAAAAAAAIBBBC0AAAAAAAAAAAAGEbQAAAAAAAAAAAAYRNACAAAAAAAAAABgEEELAAAAAAAAAACAQQQtAAAAAAAAAAAABhG0AAAAAAAAAAAAGETQAgAAAAAAAAAAYBBBCwAAAAAAAAAAgEEELQAAAAAAAAAAAAYRtAAAAAAAAAAAABhE0AIAAAAAAAAAAGAQQQsAAAAAAAAAAIBBBC0AAAAAAAAAAAAGEbQAAAAAAAAAAAAYRNACAAAAAAAAAABgEEELAAAAAAAAAACAQQQtAAAAAAAAAAAABjnYuwAAAAAAAAAY4/nVH/YuId0LG93I3iUAAJ5xjGgBAAAAAAAAAAAwiKAFAAAAAAAAAADAIIIWAAAAAAAAAAAAgwhaAAAAAAAAAAAADCJoAQAAAAAAAAAAMIigBQAAAAAAAAAAwCCCFgAAAAAAAAAAAIMIWmzw9fWVyWSSyWRKtWMEBQVZjhEUFGS4n44dO8pkMsnT0zPFakttYWFhlnOfNWuWvctJM0/jd5UUnp6eMplM6tixo+E+ntffCQAAAAAAAABPr3QTtMQOHEwmk957771E9zE/sE7NIAR4WsS+fwoXLqzIyEib7WfNmpUiId/TyMvLK9l/O8ztvby8Uq8wAAAAAAAAAE+ddBO0PG7RokUKCQmxdxnAU+nMmTOaNm2avct4rqTEiB4AAAAAAAAAT590G7RER0dryJAhdq3B19dX0dHRio6OtmsdgBHffPON7t27l2bHCwsLU3R0NFN+AQAAAAAAAHiupMugJVeuXJKkgIAA7d+/387VAE8X8/1z4cIFTZ482c7VAAAAAAAAAMCzLV0GLZ9++qmcnJwkye6jWoCnTcOGDVW6dGlJ0rfffqs7d+7YuSIAAAAAAAAAeHaly6DFw8ND3bp1kyT9/vvv2rVrl+G+oqOjtXjxYrVo0UKFChWSs7OzcuTIocqVK2v48OG6efOm1X19fX2TtGB2cHCwmjdvrrx588rZ2VlFixbVhx9+qBMnTkj6/8LbSV1Ee9GiRXrzzTeVO3duZc6cWS+//LK++OILXb9+PamnrfPnz6tPnz4qXry4XFxclDt3bjVs2FCrV69O0v4hISHq1q2bihUrJhcXF2XNmlWlSpVS7969FRYWZnW/sLAwyzUzTyG1dOlSNWzYUAUKFJCDg4PN67B+/Xo1adJE+fLlk5OTk4oUKaIePXro3LlzidYcGRkpf39/1a5dW7lz55ajo6Py5cunhg0bat68eYqKikq0j9u3b2v06NGqVq2a3N3d5eTkJA8PD73zzjv6/fffE91fko4ePaoOHTpYft8KFSqkNm3aaM+ePUna/0mZTCYNHTpUknTp0iX5+fkZ6ufx3/9///1Xw4cPV7ly5eTm5hbnO5aStkbJo0ePNGnSJFWpUkXZsmVT9uzZVb58eY0dO1b3799Pcm2nT5/Whx9+KE9PTzk7O6tAgQJq1qyZNm3alGDtqcl8f58+fVqSNHv2bMuxza+k3vsAAAAAAAAAnj4O9i7Amq+//lo///yz7t69q8GDB2vt2rXJ7uPKlSvy8fHRtm3b4nx+//597dmzR3v27NGkSZO0fPlyValSxVCdI0eO1KBBg+Ks43Lq1ClNmTJFv/zyixYvXpzkvh49eqS2bdvql19+ifP533//rTFjxiggIEDBwcHKly+fzX727t2rRo0a6fLly5bP7t69q9WrV2v16tX69NNP9cMPP1jdf9SoURo4cGC8YOLo0aM6evSoJk+erKlTp+r999+3WUd0dLTef/99zZ0712Y7s6+++krffvttnM/CwsL0008/acmSJdq8ebNeeeWVBPc9ffq0vL29dezYsTifX7p0yXLeU6ZM0fLly+Xu7p5gHwcOHFDjxo114cKFOJ+fP39eS5Ys0ZIlS9S8eXPNnz9fzs7OCfbx66+/qkOHDoqMjLR8du7cOS1YsEC//fabpkyZkuh1SAk+Pj567bXXdPDgQX333Xfq0aOHsmbNari/48ePq169ejZDtsT8999/8vb2jnc/HjhwQAcOHNCvv/6qadOmJdrP+vXr5ePjo4iICMtn4eHhWr58uVasWKERI0YYrhEAAAAAAAAAkitdjmiRpPz586tHjx6SpHXr1mnr1q3J2j8iIkK1atXStm3b5OjoqO7du2v58uXav3+/goODNXLkSOXMmVOXLl2St7e35b/Rk2PBggUaOHCgoqOjlSNHDo0ePVrbt2/X9u3b9e2338rBwUHvvfeewsPDk9Tf4MGD9csvv6hZs2ZaunSp9u3bp1WrVqlRo0aSpBMnTqh37942+7hz545atmypf//9V1999ZW2bNmiXbt26ccff1T+/PklSRMmTND333+f4P7+/v7q37+/oqKilDt3bo0dO1Y7duzQ1q1b5evrK1dXV92/f18dO3bUqlWrbNbyww8/aO7cuapRo4Z++eUX7d27Vxs2bFD79u3jtZ02bZq+/fZb1apVK05bc5hz5coVde7cOcHj3L59W3Xq1LGELM2aNdOKFSu0d+9e/fbbb6pVq5YkaevWrWrcuLEePXoUr4/z58/rzTff1IULF2QymdSpUyetXbtWe/fu1Zw5c1S2bFlJMaNzOnTokGAdu3btUvv27RUZGSknJ6d41z9Xrlz68MMPdfDgQZvXLSWYTCYNGzZMknTt2jVNmDDhifp75513dP78eX3yySdav3699u7dqwULFujll19Och9t27a1hCyVK1fWggULtHfvXv3xxx9q2bKl9u3bp+7du9vs48SJE2rWrJkiIiKUMWNGffzxxwoMDNSePXs0c+ZMvfLKKxowYECSR26lhJkzZyokJEQFChSQJDVt2lQhISFxXjNnzkyzegAAAAAAAACkrXQ7okWKGeEwZcoURUREaPDgwdq4cWOy9j127JiyZ8+uDRs2qGLFinG2v/HGG2rbtq2qVaum8PBwDRw4MMkjL6SYUTGfffaZJMnd3V07duxQ8eLFLdurVaumZs2aqVq1avr777+T1Of27ds1YsQIDRgwIM7nDRo0UIMGDbRu3TotXrxYP/74o3Lnzp1gH1euXNHNmze1YcMG1axZ0/J55cqV1aJFC1WpUkXnzp3ToEGD1K5dO+XJkyfOvv369ZMkFShQQDt37lShQoUs26tXr663335bNWrUUEREhLp166ZTp04pU6ZMCdZy+PBhvf/++5o1a1aiUzht375dXbt21ZQpU+K0ffPNN+Xo6Kiff/5ZO3fu1IEDB1SuXLk4+w4dOlQnT56UJA0cOFDDhw+3bKtQoYJatGih9u3ba/78+dqxY4emTp1qCfHMPvvsM924cUNSTOjzwQcfxOmjVatW8vb21qZNm7Ro0SJ17NhR3t7ecfr4+OOP9fDhQ2XKlEnr1q2Ld/2bN2+uqlWr6tChQzavRUpp0qSJKleurN27d+v777/XJ598ouzZsxvqKzQ0VGvWrFHdunUtn1WoUCHJ+69cuVIrV66UFLOGzPLly+Xg8P8/Pw0bNtSwYcMSXZPp888/t6w58+uvv+qdd96xbKtYsaJatWql2rVra/fu3UmuLTQ0NMltE1KkSBFJstwHbm5uljVyjEhsmrykBrcAAAAAAAAA0ka6HdEiSblz51bPnj0lSZs2bbKsv5CYq1ev6ueff5YkDRs2LF7IYla4cGENGjRIkrRw4cJkLRoeEBBgmZpryJAhcUIWs+LFiyf64Di2ChUqqH///vE+N5lM6tOnjyTp4cOH2rFjh81+unfvHuchv1mBAgU0btw4STEjX2bPnh1n+8yZMy3XYNy4cXFCFrNy5crp66+/lhQzCmTZsmVW63Bzc5Ofn1+S1snInz+/Jk6cmGDbvn37Wt4HBwfH2Xb//n3Ld12yZEn5+vrG299kMsnf3185c+aUpHhrloSHhysgIECSVL9+/Tghi5mTk5NmzJhhCQce72P37t3at2+fJOvXv2DBgpbrn1bMa7XcuHHD6iimpOjYsWOckCW5Jk+eLCnmOk6bNi1OyGI2cOBAmwHF+fPnLevk+Pj4xAlZzFxcXDR16tRk1VamTJkkvdJKoUKFbL4qV66cZrUAAAAAAAAASFy6DlokqV+/fpa1JcyhSGLWrl2re/fuSZJatWpls635gfiDBw8sD8qTIjAwUJKUIUOGBKfCMmvXrl2SF+Ru06aN1baxRw+YR29Y06lTJ6vbfHx85ObmJknasGFDnG3mn93c3NSiRQurfXTp0iXePglp0qRJktcFeeedd+Tk5JTgtpdffllZsmSRFP/c9+3bp5s3b0qKCQMyZsyYYB/ZsmWz/C4cPXo0zqiATZs2WaYTSyhkMfP09LSEDUFBQXGmIIt9HZJ6/dNCgwYNVL16dUkxU7ldv37dUD9t27Y1XMPDhw+1efNmSVK9evUsU2w9LkOGDFanZZNirrl53SBb7cqWLWuZ6g0AAAAAAAAAUlu6D1py5sxpmaJr27ZtWrt2baL77N271/I+f/78MplMVl+x/4P+4sWLSa7LPN1QkSJFlCNHDqvt3N3dVbRo0ST1WaJECZv9mP33339W2zk6OurVV1+1uj1TpkyWqbcenzLJ/HO5cuWsTgcmSXnz5pWnp2eCfcRmq47H2Tp3SZZr/Pi5xz5+lSpVbPYRe3vs/Yz0cefOnTihT0hIiKTkXf+0Yl6r5datWxozZoyhPpLzXT7un3/+sYyUqlSpks22tkZrxP6eEpu2zNootoRER0cn6ZVWzp49a/OVnGnRAAAAAAAAAKS+dB+0SFKfPn0sowAGDx6caHvzlF7JlZypw8zrecRe48Qaa+upPM7FxcXqtgwZ/v9VJbSYu5m7u3uC0zLFljdvXkmKN7rB/LN5uy358uVLsI/YbAVQj7N17tL/z//xc499/MTqNtf8+H4p0Yf59yE51z+t1KlTR15eXpKkiRMn6sqVK8nuIznf5ePM10ZK/H6xdW2S009S77n0yMPDw+Yrf/789i4RAAAAAAAAQCy2nwinE25uburTp48GDx6s3bt36/fff1fjxo2ttjc/jHd0dEzWdGAeHh5PXKu9JWWassT+Oz8l+pBkdRqv1JJY3SkxKsFaH+bPU+rapbThw4erRo0aioiI0LfffquxY8cma/8n+S5jn29afEcAAAAAAAAAkJaeihEtkvTZZ59ZFjMfPHiwzQey5naRkZHKmTOnSpcunaRXctbOMP+Hf1JGzxgZQWDUtWvXbI54kf5fc+zpyGL/nJQp1C5dupRgH2kt9vETq9tc8+P7xX4fu42RPpJz/dPSG2+8YVlfxt/fP1nT5D2p5FxfW9cm9qiaxK5hWt5zAAAAAAAAAJ5vT03QkjVrVvXr10+SdODAAS1btsxq29hrYKxbty5V6ilVqpQk6dSpUzanz7p+/Xqii9enpMjISB06dMjq9ocPH+rgwYOSFGd9mtg/HzhwQA8ePLDax+XLl3X69OkE+0hrsY+/a9cum21jr20Rez8jfbi4uKhIkSKWz8uUKSMpedc/rQ0fPlySdPfuXY0aNSrNjvviiy9apobbs2ePzba2tpvvOSnuOkwJSWx7akjKaCYAAAAAAAAAz56nJmiRpJ49e1rWZhgyZIjVUS3e3t6WxdzHjx+vhw8fpngtb775piQpKipK8+bNs9pu3rx5aT4d0uzZs61uCwgIsKx18dZbb8XZZv755s2bWrJkidU+pk+fbjmnx/tIaxUqVLCMRJo9e7bV0ST//fefFi1aJEkqWbJknHUuvLy8LFNjTZ8+3eqxzpw5o/Xr11v2ib0WS+zrkNTrn9aqVKmiRo0aSZKmTJmic+fOpclxHRwcVKtWLUkxwWd4eHiC7aKiomxeu9q1a1vW6pkzZ47VdocOHbIZdqUWZ2dnSdL9+/fT/NgAAAAAAAAA7OepClpcXV315ZdfSpJCQkK0atWqBNsVLFhQnTp1khTz0LV79+42w5bLly/r559/TlYtPj4+ltBn6NChOn78eLw2x48f19ChQ5PVb0qYPHmytm7dGu/zixcvqm/fvpJiRmR06NAhzvZOnTpZRh58/vnnOnv2bLw+Dh06pG+++UZSzHVu1qxZClefPE5OTurSpYsk6ciRIwle7+joaPXs2VNXr16VFBPYxVagQAH5+PhIktauXasZM2bE6yMyMlKdO3e2jPR5vI/KlSurfPnykqxf//DwcMv1t5dhw4ZJigkDJkyYkGbH7dGjh+W43bt3TzAQGzVqlEJCQqz2UbBgQUtQFBAQoMWLF8drc/fuXXXr1i2Fqk4ec3j3zz//2OX4AAAAAAAAAOzjqQpapJgHtuYHmuYH5wkZN26cZUqoGTNmqGzZspowYYK2bt2qgwcPKigoSJMmTZKPj48KFSqkn376KVl1ODs764cffpAUMz1YlSpV9N1332nnzp3auXOnvvvuO1WtWlVRUVEqVqyYpLSZWih37twqUKCA6tatq/79+2vr1q3as2ePJk2apAoVKujMmTOSYqaRMgdFsfcdM2aMJOnChQuqWLGixo8fr127dmn79u0aNmyY3njjDd2+fVsmk0lTp061jByyp8GDB6to0aKSYs6refPm+v3337V//34tWbJEderUsYyAqFatWoIP4sePH29ZA6RLly764IMPtH79eu3bt0/z589XlSpVFBgYKElq1aqVvL294/Xh7+8vBwcHPXjwIN719/PzU4UKFRQeHq6yZcum1qVIVPny5S3hmK37J6U1adJETZo0kSStXLlS1atX18KFC7V//36tWbNG7733ngYOHKhKlSrZ7Of777+3hIHvvfeePvnkE23atEn79u3T7NmzVbFiRe3evTvRflLD66+/Lilm+rPRo0fr0KFDOnHihE6cOKHz58+neT0AAAAAAAAA0oZD4k3Sl8yZM6t///765JNPbLbLkiWLNm/erLZt22rNmjU6evSoPvvsM6vts2XLluxaWrdurZMnT2rQoEG6ceOGZbSNmYuLi3777TeNHj1ax48ft0wtlJpcXFy0ePFieXt7a9SoUQmuxdGrVy/16dMnwf0/+ugj3bx5U4MGDdLly5cTbOfk5KSpU6eqYcOGKV6/EVmzZlVgYKC8vb31559/KiAgQAEBAfHaVa9eXStWrLBMExabh4eHAgMD1bhxY124cEEzZsxIcGRL8+bNrU5vVaVKFc2ZM0cdO3bUvXv34l1/BwcHy2gXe0xtZTZ06FAtX748zae0mz9/vry9vbVt2zbt2rVL7733Xpzt5cuX15QpUywjgxLy0ksvadmyZfLx8VFERIT8/Pzk5+cXp82QIUMUFRWlPXv2pMk9Z9ajRw9NnjxZ169f19dff62vv/7asq1WrVoKCgpKs1oAAAAAAAAApJ2nbkSLJHXt2lWFChVKtJ27u7tWr16twMBAderUScWKFVOWLFnk4OAgd3d3VapUSR9//LFWrVplWXsjuQYMGKDNmzerWbNmypMnj5ycnFS4cGF17txZe/fuVcOGDXXr1i1JUvbs2Q0dI7kqVqyo/fv3q1evXnrxxRfl7OysnDlzqkGDBlq1alWiU0b1799fBw4cUNeuXfXiiy8qc+bMcnV11SuvvKJPP/1Uf/75p95///00OZek8vT01KFDh+Tn56datWopZ86cypQpk/LmzasGDRpo7ty52rJli9zd3a32Ua5cOf31118aNWqUqlSpIjc3Nzk6OqpAgQJq3ry5VqxYoSVLlth8eN+6dWsdOHBA7du3V4ECBeTo6KiCBQuqVatW2rp1q2WaM3t69dVX1bJlyzQ/btasWRUUFKSJEyeqUqVKypIli7JmzarXXntNo0aN0rZt2yyjimypW7euQkND1b17dxUuXFiOjo7KmzevGjVqpDVr1sjX1zfN7zkpZmqz3bt364MPPtBLL72UpiEPAAAAAAAAAPsxRaf1v7U/Zx48eKDs2bPr7t27GjhwoIYPH27vkoBn3ltvvaXAwEC98cYbCg4Otnc5KercuXOWoPns2bPy8PCwc0UAAAAA7Mnzqz/sXUK6Fza6kb1LAACkI6nxfO2pHNHyNFm2bJnu3r0rSapataqdqwGefRcuXNCWLVskcc8BAAAAAAAASH0ELU/oxIkTVreFhYVZ1jjJmzev6tevn1ZlAc8sW/fc3bt31bFjRz148ECS0t0UdwAAAAAAAACePQ72LuBpV6JECTVs2FCNGzdWqVKl5OrqqsuXL2vTpk366aefdPPmTUnS2LFj5eDA5QaeVJcuXRQREaFWrVqpQoUKcnd313///ae9e/fK39/fEsR88MEHKlOmjJ2rBQAAAAAAAPCs48n/E3r06JFWrlyplStXJrg9Q4YMGjFihNq1a5fGleFp8vfffysyMjLZ++XJk0d58uRJhYrSt71792rv3r1Wt/v4+GjixIlpWBEAAAAAAACA5xVByxNauXKlVq9ere3bt+vSpUu6du2anJycVLBgQXl5eenjjz9W6dKl7V0m0rl69erp9OnTyd5vyJAh8vX1TfmC0rHvv/9eAQEB2rhxo86dO6crV64oOjpaefLkUdWqVfX++++rUSMWOgQAAAAAAACQNghanlDjxo3VuHFje5cBPDfKly+v8uXLa/jw4fYuBQAAAAAAAAAIWoD0ICwszN4lAAAAAAAAAAAMIGgBAAAAAAB4SoWNZupkAADsLYO9CwAAAAAAAAAAAHhaEbQAAAAAAAAAAAAYRNACAAAAAAAAAABgEEELAAAAAAAAAACAQQQtAAAAAAAAAAAABhG0AAAAAAAAAAAAGETQAgAAAAAAAAAAYBBBCwAAAAAAAAAAgEEELQAAAAAAAAAAAAYRtAAAAAAAAAAAABhE0AIAAAAAAAAAAGAQQQsAAAAAAAAAAIBBBC0AAAAAAAAAAAAGEbQAAAAAAAAAAAAYRNACAAAAAAAAAABgEEELAAAAAAAAAACAQQQtAAAAAAAAAAAABhG0AAAAAAAAAAAAGETQAgAAAAAAAAAAYBBBCwAAAAAAAAAAgEEELQAAAAAAAAAAAAYRtAAAAAAAAAAAABhE0AIAAAAAAAAAAGAQQQsAAAAAAAAAAIBBBC0AAAAAAAAAAAAGEbQAAAAAAAAAAAAYRNACAAAAAAAAAABgEEELAAAAAAAAAACAQQQtAAAAAAAAAAAABhG0AAAAAAAAAAAAGETQAgAAAAAAAAAAYBBBCwAAAAAAAAAAgEEELQAAAAAAAAAAAAYRtAAAAAAAAAAAABhE0AIAAAAAAAAAAGAQQQsAAAAAAAAAAIBBBC0AAAAAAAAAAAAGEbQAAAAAAAAAAAAY5GDvAgAAAAAAAGCM51d/2LuEdC1sdCN7lwAAeA4wogUAAAAAAAAAAMAgghYAAAAAAAAAAACDCFoAAAAAAAAAAAAMImgBAAAAAAAAAAAwiKAFAAAAAAAAAADAIIIWAAAAAAAAAAAAgwhaAAAAAAAAAAAADCJoQYrx8vKSyWSSl5eXvUtBKgsKCpLJZJLJZFJQUJC9ywEAAAAAAAAAuyFoSaLYD5aT+vrss8/sXfZz78SJE1qwYIF69+6t6tWry8XFxfL9zJo1y97lPbGOHTta/f1zcHCQu7u7qlWrpsGDB+vChQv2LjeO5NxLHTt2tHe5AAAAAAAAAJAggpanCKMIkmfz5s0qVqyY2rRpox9++EHbt2/X3bt30+z4vr6+lu/LHh49eqQbN25o586dGj58uEqUKKEVK1bYpRYAAAAAAAAAeFY52LuAp1GPHj300UcfJdouV65caVBN+pHewp/o6GjL+wwZMuiVV16Rq6urdu/ebceqUs/atWtVoEABy88PHjzQuXPntHjxYs2dO1f//fefWrZsqUOHDqlEiRJ2rDSuihUraubMmTbb5MiRI42qAQAAAAAAAIDkIWgxIE+ePCpdurS9y0AiChYsqDFjxqhSpUqqUKGCsmTJolmzZj2zQUvx4sXl6ekZ57Ny5cqpSZMm8vT01LBhwxQZGakJEyZo8uTJ9ikyAa6urtxPAAAAAAAAAJ5aTB2GZ1axYsXUt29f1apVS1myZLF3OXbVr18/yxRmu3btsnM1AAAAAAAAAPDsIGhJA9HR0WrQoIFMJpMyZsyorVu3Wm07YcIEy7oeAwYMkCSFhYXJZDKpdu3alna1a9eOt2C4tcXdd+/era5du6p48eLKkiWLXF1dVaJECX388cc6fvy41VpmzZpl6TssLEz379/XDz/8oKpVqypXrlwymUzy9fW1tPfy8pLJZJKXl5fN67F161a1b99enp6ecnZ2lpubm8qVK6eBAwfqypUrVvd7fI2aqKgozZgxQ7Vr11bevHmVIUOGVFk0/dGjR5o1a5bq16+vfPnyydHRUW5ubipWrJjefPNNffPNNzp69Kilvfm6DR061PJZQgu8h4WFpXit1mTJkkU5c+aUJN27dy/BNo9/f8ePH1fPnj1VrFgxubi4JLvmmzdvqnr16jKZTMqUKZPmzp37pKehqKgobdy4UX379lX16tWVK1cuZcqUSW5ubnrttdfUt29fnTlzJsl9LViwQC1atNALL7ygzJkzK2fOnCpbtqw6d+6sNWvW6OHDh1b3N3pfAQAAAAAAAHi2MHVYGjCHIGXKlNHVq1fVvn17HTp0SNmyZYvT7ujRo/rqq68kxaxbETvEMOLhw4fq1atXgtNE/fXXX/rrr780bdo0TZo0SV27drXZ19WrV+Xj46ODBw8aricqKkq9evXSpEmT4nx+//59HTx4UAcPHpSfn59+++031a1b12Zf9+7dU/369bVhwwbD9STF7du31bBhQwUHB8f5/N9//9W///6rEydOaOPGjdq/f78WL16cqrU8idu3b+vatWuSpBdeeCHR9suXL1fbtm0VERFh6HgXL15U/fr1dfjwYTk7O2vhwoV6++23DfUV27Bhw+IEWGb//vuvDh06pEOHDmny5MmaN2+efHx8rPYTFhaW4O/zvXv3dP36dR0+fFgzZ87Upk2b4gWHKXlfAQAAAAAAAHj6EbSkkXz58mn69Olq2rSpwsLC9PHHH8f5D//IyEi1adNG9+7dk4uLi+bPn69MmTJJillrJCQkRHv27FHnzp0lSTNmzFClSpXiHMPDwyPOzx988IHmzJkjSfL29lbbtm1VvHhxmUwmHTx4UD/88IOOHDmibt26KV++fGrSpInV+j/44AOFhITo/fff17vvvqt8+fLpzJkzcnJySvI1+OqrrywhS5EiRfTll1+qfPnyioiI0IoVK+Tn56d///1XjRs31u7du1W2bFmrfX355Zc6fPiw3n77bXXs2FGFCxfWpUuXdOvWrSTXkxS+vr6WkKVx48Zq27atXnjhBTk7O+vKlSs6dOiQfv/9d8u0XJLUrFkzVaxYUf7+/paH8SEhIfH6LliwYIrWasu4ceMUHR0tSYkGHmfOnFG7du3k4uKiQYMGqUaNGsqYMaP27NmTpCnYTp06pbp16+qff/5R1qxZtWLFikRHOSXVw4cPlT9/fvn4+KhatWoqWrSonJ2ddfbsWW3fvl3+/v66ffu22rRpo/379+uVV16J18elS5dUvXp1XbhwQZJUp04ddejQQSVKlJDJZNKpU6e0ceNG/fbbbwnWkJL3FQAAAAAAAICnH0GLAZcvX1ZoaGii7V5++WVLWCLFPODu1q2bpk6dqnnz5qlRo0Z67733JEkDBgzQoUOHJEnjx49X8eLFLftlypRJpUuX1tWrVy2fFSlSxOYC4kuWLLE8DJ42bZq6dOkSZ3vFihXVrl07NWrUSBs3blSvXr3k7e0tB4eEfyUOHz6s6dOnW4IeSSpfvnyi18AsJCRE48aNkySVLl1awcHBcnNzs2z38vJSvXr11KhRI0VGRqpbt2421xI5fPiwBg0apGHDhiW5BiMWLVokSXrnnXcSfPBev359ffHFF7p+/brlMzc3N7m5uSlPnjyWz9Jisfe///5bt2/ftvz88OFDnTt3TgEBAZZp5apXr64PPvjAZj+nTp1SgQIFtGPHjjijX6pUqZJoDaGhoapXr57Cw8OVK1curVmzRhUqVLC5T0REhM37ydXVVUWKFJEkdenSRUOGDIlzX0kxv4tNmzbVJ598oqpVq+r8+fP65ptvEpyu7MMPP7SELN9++62++OKLONsrVaqkVq1aady4cYqMjIyzLaXvq4ScO3fO5vbw8PAk9wUAAAAAAAAg9RG0GDB58uQEpw163KlTp+Tp6Rnns/Hjx2vz5s3666+/1KNHD73++uv6559/LCGEOYx5UqNGjZIk+fj4xHsYbObs7Cw/Pz+VLFlSYWFhCgoK0ltvvZVg2zp16sQJWZJr8uTJioqKkhTzgDp2yGLWoEEDde7cWT///LN2796tPXv2xBu1Y1a8eHENGTLEcD1JdfHiRUlSjRo1bLZzd3dP9VoSU79+favbChQooH79+unDDz9M0iik0aNHJ2mKsdh27NihRo0a6caNGypUqJDWrVunEiVKJLrf3r17VaZMGavba9WqpaCgIEmKdz89zsPDQ/369dNnn32mFStWKDo6Os5ooz///FPLly+XJDVt2jReyBKbq6urXF1d43yW0vdVQgoVKpTktgAAAAAAAADsL4O9C3jexJ4W7ObNm2rbtq06dOig6Oho5cuXTz///PMTH+P8+fPat2+fJKlVq1Y2277yyivKlSuXpJgH5da0bdv2iWoyr6VSsmRJVa1a1Wq72Gta2Fp/5d1331XGjBmfqKakyJ8/vyRp4cKFunPnTqofL7VcuHBBM2fO1Jo1axJt6+joqJYtWyar/3Xr1qlu3bq6ceOGXn75ZW3dujVJIcuTunXrlk6dOqUjR44oNDRUoaGhcnFxibMttlWrVlmmUOvdu3eyjpUa9xUAAAAAAACApx9BiwFDhgxRdHR0oi9r/31foUIFy5RXW7du1dmzZyVJM2fOVO7cuZ+4vr1791ret27dWiaTyebLPCWZefRGQl599VXD9dy/f1/Hjx+XlPj0U+XKlbNMC2VrOqknqSc5OnToIEnavn27ihQpop49eyogIEBXrlxJk+Mnx6lTp+L8/kVFRenatWtavXq1atWqpcOHD6t58+by8/Oz2U+xYsXk7Oyc5OMuXrxYTZo0UUREhMqXL6/g4OBkjYapVauWzfvIPJrF7PTp0/rkk0/k6emp7Nmzq2jRoipdurTKlCmjMmXKxBkRFnu6PUk6cOCApJjp+GwFfglJjfsqIWfPnrX52r17d7L6AwAAAAAAAJC6CFrs5IsvvoizDkuXLl3UoEGDFOn78uXLhvazNWIjR44cRsvRjRs3LO/z5s1rs22mTJmUM2dOSYqz7klK1pMcgwYNUufOnWUymXT58mVNmjRJzZs3V968eVWmTBkNGTJEly5dSpNakstkMsnd3V0NGjRQYGCgatSooejoaPXu3Vt//fWX1f2Se20nTZqkyMhIOTk5admyZSkSFlqzevVqlSxZUn5+fjp9+nSi7e/evRvnZ3P44e7unqQp1GJLjfsqIR4eHjZf5lFWAAAAAAAAANIH1mixkzVr1ujvv/+2/Lx161bdvXtXmTNnfuK+Hz16ZHk/f/78JI/+sPWAPaWm6Yq9XoY15qmdbEmLacOkmOBn+vTp+vzzz7VgwQJt3LhRe/fuVWRkpGWqqu+//17z5s1T06ZN06QmIzJmzKg+ffooODhYDx8+1Jw5czRy5EirbZOjefPmWrp0qe7fv693331Xa9euVdasWVOi7DiuXbumNm3a6M6dO8qSJYv69u2r+vXr68UXX1T27Nnl6OgoSdq4caPefPNNSdZ/l5Lye/i41LivAAAAAAAAADz9CFrs4MqVK5aF5bNly6Zbt27pzz//VN++fTVp0qQn7t88IkSKeaBcunTpJ+7zScR+0JzYNEoPHz60jGRJDwvMm5UsWVLDhw/X8OHDdffuXW3btk2//PKL5syZo9u3b6t169b6559/0vVog9hrpoSEhKRYv5988omqVaumfv36aceOHWrYsKFWr16tLFmypNgxJOm3337TzZs3JUlLly5V3bp1E2wXewTV48zrply7dk2RkZGWcCYp0tt9BQAAAAAAACB9YOowO/jggw906dIlZciQQcuWLdN7770nSfL399fq1aut7pfU/8IvV66c5f26deuerNgU4OTkpGLFikmSdu3aZbPtgQMH9ODBA0lKtw+yM2fOrLfeekszZszQmDFjJMVMUfX777/HaWdk1ERqevjwoeW9+RqnlL59+2r06NGSYkZnNWrUKNlTZiXmyJEjkmICOGshixR3LZXHlS9fXlLM+Sd3kfr0dl8BAAAAAAAASB8IWtLYTz/9pJUrV0qSPv/8c9WuXVuTJ09WoUKFJEmdOnWyutB67AXK79+/b/UYL730kkqWLClJ+vXXX3XmzJmUKt+wt956S5J09OhR7dy502q7n3/+Od4+6Zl5iiop/sLrSf2+0sqePXss782/bynpyy+/tExHtmXLFjVu3DjeGilPwhwU3b9/X1FRUQm2uXPnjubMmWO1j0aNGlkCsPHjxyfr+OnxvgIAAAAAAABgfwQtaejvv//W559/LkkqW7asRowYIUlyc3PT7NmzlSFDBl26dEldu3ZNcP/Y01L9888/No81cOBASdK9e/fUvHlzq+GNFPPg2t/fX/fu3UvW+SRHjx49lCFDzK9bt27d9O+//8Zrs27dOk2fPl2SVLlyZVWqVCnV6kmK69eva8WKFTbXjIk9sqFIkSJxtiXn+0ptN27c0KhRoyw/N2zYMFWO079/fw0bNkyStGnTJjVp0iTFfq/Mo6IiIiK0ePHieNsfPXqkLl266MKFC1b7KF68uHx8fCRJy5cvt4xISkhERES8acjS230FAAAAAAAAwP5Yo8WAy5cvKzQ0NNF2mTNn1osvvigpZqqitm3b6s6dO3J2dtb8+fPjrA9Ru3Zt9enTR2PHjtXy5cs1bdq0eIHLCy+8IA8PD507d05jx45VwYIF9fLLL8vBIeZrzJs3r2UR8tatW2vt2rWaPXu29u3bp5IlS6p79+6qVauWcufOrYiICP3zzz8KDg7W0qVLdf36db3//vspdYniKVOmjD7//HONGTNGISEhKl++vL788kuVK1dOd+7c0cqVK/Xjjz/q0aNHcnR01JQpU1LkuIsXL9bt27ctP2/dujXB95KUL18+NWjQwPLzrVu31LRpU3l6eqp58+aqUqWKChcuLAcHB4WHh2vlypWWETgeHh5q0qRJnP5ef/11y/vevXtrwIAByp8/v2VEhaenp+W7Swl///13nHONjo7WzZs3tWvXLk2cONEyAuONN95Q06ZNU+y4jxs0aJAePXqkoUOHKjAwUE2bNtWKFSvk5OT0RP22atVK/fv31/3799WxY0cdPHhQb731lrJly6YjR45o4sSJ2rdvn6pXr65t27ZZ7cff3187d+7UhQsX9MUXX2jNmjXq2LGjSpQoIZPJpLCwMAUFBenXX3/V4sWL5eXlZdk3vd1XAAAAAAAAAOyPoMWAyZMna/LkyYm2K1u2rA4ePChJ8vX1tawd8e2336pUqVLx2o8cOVLr16/XoUOH1Lt3b9WuXVsvvfRSnDb9+/fXRx99pFOnTqlZs2Zxts2cOVMdO3a0/Dx9+nTlzZtX48aN09WrVzVy5EjL1E6Pc3V1VcaMGRM9pycxevRoRUREyN/fXydPnlT37t3jtcmePbsWLVqk1157LUWO2bdvX50+fTrBbdOnT7eMoJGkWrVqxQlazMLCwvT9999bPUbBggW1YsUKubq6xvn8pZdeUqtWrbRo0SKtW7cu3roep06dkqenZzLOxrb69esn2qZ27dpavHhxqq8f4+vrq0ePHmnEiBFat26dfHx8tGzZsmQtPv84Dw8PTZ48WV26dNHdu3c1atSoOKN0JOndd99V165dbU47lzdvXgUHB6tp06YKDQ3Vxo0btXHjxiTXkd7uKwAAAAAAAAD2xdRhaWDr1q2WhcLr1aunTz75JMF2jo6Omj9/vpydnRUREaF27drFWcBcipmCa8mSJapXr57y5Mljc0RExowZ9e233+ro0aP6/PPPVa5cOeXIkUMZM2ZU1qxZVapUKbVt21azZ89WeHi4MmfOnHInnYAMGTJo0qRJ2rJli9q2basXXnhBTk5OypYtm1577TX1799fx48fV7169VK1jqQqXLiwDh48qDFjxsjb21svv/yy3Nzc5ODgoFy5cqlWrVoaO3asjh07Fmeh9NjmzZun7777TpUrV1b27Nkt06ellSxZsqhYsWJq06aNVq5cqcDAQLm7u6fJsYcPH66vv/5akrR69Wq1aNFCkZGRT9Rnp06dFBwcrGbNmil37tzKlCmT8ufPrwYNGmjhwoX69ddfkxRsFC1aVAcPHtSsWbPUqFEj5c+fX46OjsqVK5fKli2rrl27asOGDapZs2a8fdPbfQUAAAAAAADAvkzRthagAACkK+fOnVOhQoUkSWfPnpWHh4edKwIAAABgT55f/WHvEtK1sNGN7F0CACCdSY3na4xoAQAAAAAAAAAAMIigBQAAAAAAAAAAwCCCFgAAAAAAAAAAAIOsr6QOIFVdvnxZly9fTvZ+jo6OKl68eCpUBAAAAAAAAABILoIWwE78/f01dOjQZO9XuHBhhYWFpXxBAAAAAAAAAIBkY+owAAAAAAAAAAAAgwhaADvx9fVVdHR0sl+MZgEAAAAAAACA9IOpwwAAAAAAAJ5SYaMb2bsEAACee4xoAQAAAAAAAAAAMIigBQAAAAAAAAAAwCCCFgAAAAAAAAAAAIMIWgAAAAAAAAAAAAwiaAEAAAAAAAAAADCIoAUAAAAAAAAAAMAgghYAAAAAAAAAAACDCFoAAAAAAAAAAAAMImgBAAAAAAAAAAAwiKAFAAAAAAAAAADAIIIWAAAAAAAAAAAAgwhaAAAAAAAAAAAADCJoAQAAAAAAAAAAMIigBQAAAAAAAAAAwCCCFgAAAAAAAAAAAIMIWgAAAAAAAAAAAAwiaAEAAAAAAAAAADCIoAUAAAAAAAAAAMAgghYAAAAAAAAAAACDCFoAAAAAAAAAAAAMImgBAAAAAAAAAAAwiKAFAAAAAAAAAADAIIIWAAAAAAAAAAAAgwhaAAAAAAAAAAAADCJoAQAAAAAAAAAAMIigBQAAAAAAAAAAwCCCFgAAAAAAAAAAAIMIWgAAAAAAAAAAAAwiaAEAAAAAAAAAADCIoAUAAAAAAAAAAMAgghYAAAAAAAAAAACDCFoAAAAAAAAAAAAMImgBAAAAAAAAAAAwiKAFAAAAAAAAAADAIIIWAAAAAAAAAAAAgwhaAAAAAAAAAAAADCJoAQAAAAAAAAAAMIigBQAAAAAAAAAAwCAHexcAAAAAAAAAYzy/+sPeJdhd2OhG9i4BAPCcY0QLAAAAAAAAAACAQQQtAAAAAAAAAAAABhG0AAAAAAAAAAAAGETQAgAAAAAAAAAAYBBBCwAAAAAAAAAAgEEELQAAAAAAAAAAAAYRtAAAAAAAAAAAABhE0IJUExYWJpPJJJPJpFmzZtmtjlmzZlnqCAsLs1sdSDpfX1/LdwYAAAAAAAAA6RlBCxIUFBRkedDt6+trs+2lS5dUunRpS/sePXooOjo6bQqFJGnr1q369NNPVbZsWeXOnVtOTk4qWLCgqlevrmHDhumff/6xd4npgpeXl+X3NKmvmzdv2rtsAAAAAAAAAOkYQQueSHh4uLy8vHTkyBFJ0qeffqrJkycnaSQCI02e3Llz59S4cWPVqFFDP/74ow4fPqyrV68qMjJSFy5c0Pbt2zVkyBCVLFlSffv2VWRkpL1LBgAAAAAAAIBnioO9C8DT69y5c6pTp46OHz8uSerbt6/GjBlj2e7p6cnIllR07Ngx1atXT+fOnZMkvfzyy+rUqZMqVqyoHDly6NKlS9q4caNmzpypa9euady4cTp8+LACAgLk6upq5+rtLyQkJEntsmXLlsqVAAAAAAAAAHiaEbTAkNOnT6t27do6deqUJGnAgAEaMWKEnat6fvz3339q3LixJWT5/PPPNWrUKGXKlClOO29vb33xxRdq3bq1AgMDtX79evXo0UNz5syxR9npSunSpe1dAgAAAAAAAIBnAFOHIdn++ecf1axZ0xKy+Pr6ErKksS+//FInT56UJHXv3l1jx46NF7KY5c6dWytXrlS5cuUkSXPnztXKlSvTrFYAAAAAAAAAeJYRtCBZ/v77b9WqVUtnzpyRJI0aNUpDhgxJsG1YWJhlDZZZs2ZZPg8KCpLJZFKnTp0snxUpUiTeIuRBQUEJ9rtq1Sq1a9dORYsWlaurq7Jnz65SpUrpvffe05IlS3T37l2b5xAVFaWpU6fq9ddfV44cOeTq6qpXX31VI0eO1J07dxK9BtHR0Vq8eLFatGihQoUKydnZWTly5FDlypU1fPhwm4und+zYUSaTSZ6enpKkmzdvavDgwSpVqpRcXV3l5uammjVrav78+Vb7uHz5smbMmCFJypcvn8aOHZtozZkzZ9aUKVMsP48ePTpem6SumWPte41t586dGjhwoLy8vJQvXz45OjoqW7ZsKlmypHr06KGjR48mWnN6tHXrVjk4OMhkMqlBgwZWp8a7deuW5Xc6V65cCg8PT+NKAQAAAAAAAKQVpg5Dkh07dkx16tTRxYsXJUnff/+9evfunWbHv3btmt59910FBgbG23b06FEdPXpUCxcu1MyZM9WxY8cE+4iIiFDdunW1cePGOJ+HhIQoJCREK1as0MaNG62uYXLlyhX5+Pho27ZtcT6/f/++9uzZoz179mjSpElavny5qlSpYvN8/vzzT3l7e8cLNYKDgxUcHKwdO3bIz88v3n6//vqr7t+/L0nq3LmzsmTJYvM4ZpUqVVK1atW0Y8cObd++XX/++adKlCiRpH2TY9asWXFCNLMHDx7o2LFjOnbsmKZNm6Yff/xRH330UYofPzW98cYb+uqrrzRy5EitXbtWEydOVK9eveK1+/jjjy3f67Rp05Q/f/40rhQAAAAAAABAWmFEC5IkJCREXl5eunjxokwmkyZOnGg4ZKlUqZJCQkLiTDe2du1aS9hhflWqVMmy/c6dO6pdu7YlZKlQoYKmTJmibdu2ae/evQoICFDv3r1VoEABm8fu1q2bgoKC1KFDB/3xxx/at2+fAgICVK1aNUnS7t27rU6DFhERoVq1amnbtm1ydHRU9+7dtXz5cu3fv1/BwcEaOXKkcubMqUuXLsnb21unT5+2WsedO3f09ttv69q1axo4cKCCgoK0d+9eTZs2TR4eHpKkSZMmae3atfH23bJli+V9kyZNbJ7v495++23L++Dg4GTtm1QPHz5Ujhw51KFDB82YMUPBwcHav3+/fv/9dw0bNky5cuXSo0eP1LNnz3iB19PA19dXlStXlhQzhVtoaGic7YsWLdK8efMkSV26dJGPj0+a1wgAAAAAAAAg7TCiBYk6dOiQ/Pz8dO3aNZlMJk2ZMkVdu3Y13J+rq6tKly6tvXv3Wj4rXry4ZTqthAwYMEAhISGSYkYLTJw4USaTybK9QoUKatasmUaPHq0bN25Y7Wf79u2aO3eu2rVrZ/msfPny8vb2VsWKFRUaGqpp06Zp+PDhcnCIe3t89dVXOnbsmLJnz64NGzaoYsWKcba/8cYbatu2rapVq6bw8HANHDhQc+fOTbCOK1eu6MGDB9qxY4dKlSoV5zy8vLxUpkwZ3bt3T/7+/qpfv36cfQ8dOiRJypAhg1577TWr55qQ8uXLW97v378/Wfsmlbe3t9q0aSMXF5c4n5crV06NGjVSr169VLNmTR0+fFhDhgxRnTp1UqWOxDwekCQkR44cKliwYJzPHBwcNH/+fL322muKiIhQ27ZttXv3bjk5OencuXP68MMPJUkvvfSSfvjhh2TXde7cOZvbmYYMAAAAAAAASF8Y0YJELVu2TNeuXZMk+fv7P1HIYsSNGzc0depUSTFBwYQJE+KELLE5Ojoqb968Vvtq3rx5nJDFzMnJST179pQUM0XZ42uIXL16VT///LMkadiwYfFCFrPChQtr0KBBkqSFCxfaXPNl2LBhcUIWs5deeknNmjWTlPCok6tXr0qSsmfPLmdnZ6v9JyT2tTH3k9IKFiwYL2SJLXv27Bo2bJikmDVPzL9baa1MmTKJvgYMGJDgvi+99JImTJggSTp8+LD69++v6OhodejQQTdu3LCEMdamoLOlUKFCNl/m0TQAAAAAAAAA0geCFiQqdqixYsUKRUZGpunxN23aZAksevXqpYwZMxruq23btla3VahQwfL+5MmTcbatXbtW9+7dkyS1atXK5jFq1qwpKWZNkn379iXYxmQyqU2bNonWcuPGDd28eTPOttu3b0uSoYf4sfd5vN/UEhERobCwMB05ckShoaEKDQ1VpkyZLNvNI3SeNh988IGaN28uSRo/frxat25tmQptyJAhBCIAAAAAAADAc4Kpw5CoHj16KCgoSEePHtXq1avVunVrLVy4MN7UWqnlwIEDlvfmEMMoW4u/u7u7W97/999/cbbFnuYsOQubX7x4McHPc+XKpZw5cya5Fjc3N8vPWbNm1Y0bNyyBS3LE3sfJySnZ+yfV1atX9f3332vJkiU6fvy4oqOjbba1B1s1JdW0adO0c+dOXbhwQQsXLpQkVa9eXV9//bXhPs+ePWtze3h4OCEOAAAAAAAAkI4QtCBRuXPn1oYNG1SzZk2dOHFCS5cuVYcOHTR37lxlyJD6g6JiP4hPTsiREFtTWsU+l0ePHsXZdvnyZUPHszZ1mK06EqslV65cunHjhm7duqW7d+8qc+bMSa7n0qVLcfpJDfv27VP9+vWTPCXY3bt3U6WOtODu7q5vv/1W7du3lyRlypRJc+fOfaJRVx4eHilVHgAAAAAAAIA0QNCCJMmfP782btyoGjVq6PTp0/rll1/k7Oysn3/+2ep6Kc8Sc9jh6OhodTqwhKTGQ/NXX31Vx48fV1RUlA4dOqSqVasmed/9+/db3r/yyispXltkZKRatWqla9euKVOmTPrkk0/UtGlTFS9eXDly5LCMojl58qRefPFFSSkzssReHj16JH9/f8vPDx48UFBQkIoUKWLHqgAAAAAAAACkJYIWJFmhQoUUGBiomjVr6sKFC5oxY4ZcXFw0ceLEVD1u7JEX4eHhdnmIbZ7mKzIyUjlz5nzikTVPombNmlqyZImkmDVzkhO0rFixwvK+Ro0acbbFHkUTFRVltY+IiAir2zZu3GhZ32bSpEnq2rVrgu1u3LiRpHrTuxEjRmjHjh2SpGzZsunWrVv69NNPVatWLRUtWtTO1QEAAAAAAABIC6k/7xOeKS+++KICAwOVJ08eSZKfn5+++OILQ30ldSRM+fLlLe+3bNli6FhPqly5cpb369ats0sNZq1bt5azs7MkaebMmUleq2XPnj3auXOnpJjQ7PGAJmvWrJb3toKQv/76y+q2I0eOWN6/9957VtvFXvPmabVr1y6NGDFCklSnTh1t3rxZTk5O+u+//9S+fft4U74BAAAAAAAAeDYRtCDZSpQoofXr11sWbB8zZox8fX2T3Y85LJCk+/fvW21Xu3Ztubq6SpImTpxolwfY3t7eypQpkyRp/PjxevjwYZrXYJY7d2517txZknTx4kX169cv0X3u3r2r7t27W37u06dPvPV1Yo8UshWE/PLLL1a3xb4u1taniYqK0tSpUxOtOT2LiIhQu3bt9PDhQ+XIkUOzZ8/Wa6+9ppEjR0qStm/frm+++cbOVQIAAAAAAABICwQtMOTVV1/V2rVrlS1bNknS0KFD9d133yWrj9jTb/3zzz9W27m5uVlCgn379umzzz6zuq7HgwcPDC9cb0vBggXVqVMnSdKhQ4fUvXt3m2HL5cuX9fPPP6d4HWajR4+2rHHy008/qV+/fnrw4EGCba9evaq3335bBw4ckCS99tpr+vjjj+O1K126tCU88/PzSzD8WrBggWXasoQUK1bM8n727NkJtvn666/jrBXzNPr000914sQJSTHX37wWT58+fVSnTh1J0rBhw7Rnzx671QgAAAAAAAAgbbBGCwyrWLGiVq1apfr16ysiIkJffvmlXFxc1LNnzyTtX65cOTk7O+vevXsaNGiQHBwc5OnpaRlpUbBgQWXOnFmSNHz4cK1fv14hISHy8/PTjh071L17d5UpU0aOjo46d+6ctm7dql9++UUjRoxQx44dU/x8x40bp+3btys0NFQzZszQzp071a1bN1WoUEFZsmTRzZs3deTIEW3YsEGrVq1SmTJl1KVLlxSvQ4qZ5mvlypWqV6+ezp07p7Fjx2rlypXq3LmzKlWqpOzZs+vy5cvauHGjZsyYoWvXrkmKuaYBAQGW0TmxOTg4qFu3bho9erRCQ0NVp04dffHFF3rhhRd08eJF/fbbb5o9e7aqVatmWZfkcfXr11eePHl0+fJlDRgwQKdPn9bbb7+tXLly6cSJE5o2bZoCAwNVvXp1bdu2LVWuTVKFhoYmqV3hwoXjTKu2bNkyTZ8+XZLUvn17tWrVyrLNZDJp9uzZevXVV3Xjxg21bdtWBw4csIzIAgAAAAAAAPDsIWjBE6levbpWrFihRo0a6d69e+rVq5cyZ86sDz74INF9s2bNql69eum7777T/v37Vb9+/TjbN23aJC8vL0mSi4uLNm7cqBYtWmjLli3at2+funXrlhqnZFWWLFm0efNmtW3bVmvWrNHRo0f12WefWW1vHu2TWl555RVL4LRq1Sr99ddf+vLLL622f/311/Xrr7+qUKFCVtsMGjRIQUFB2rlzp7Zv365mzZrF2V6rVi35+fmpTJkyCe7v6uqqOXPmqFmzZrp37578/f3l7+8fp42Xl5f8/PxUunTppJ9sKrB2Do8LCAiwXIfw8HB17dpVkuTp6Sk/P7947T08PPTTTz/p3Xff1fHjx9WnTx9NmTIlxeoGAAAAAAAAkL4wdRieWJ06dbR06VI5OjoqOjpa3bp10/z585O07+jRozVt2jTVqFFD7u7uypgxo9W2uXLl0ubNm7V06VK988478vDwkJOTk3LkyKHSpUurbdu2Wr58udq0aZNSpxaPu7u7Vq9ercDAQHXq1EnFihVTlixZ5ODgIHd3d1WqVEkff/yxVq1apfXr16daHWYeHh76448/FBwcrE8++URlypSRu7u7TCZTnHa9evXS1q1bbYYs0v8DrZEjR6pMmTLKnDmzsmXLpkqVKsnPz0+BgYHKkiWLzT7q16+vvXv3ql27dipQoIAyZcqk3Llzq1atWpo6daoCAwOfyhEe0dHR6tSpk65evaoMGTJo7ty5VsO0Vq1aqX379pKkqVOnasWKFWlZKgAAAAAAAIA0ZIq2ttgFgKfaqVOnVLVqVV2+fFnZsmXT5s2b9dprr9m7LDyhc+fOWQKzs2fPWtaHAQAAAPB88vzqD3uXYHdhoxvZuwQAwFMkNZ6vMaIFeEYVKVJEy5cvl7Ozs27duiVvb2+dOnXK3mUBAAAAAAAAwDOFoAV4hlWtWlVz5syRyWTSxYsXVb9+fV25csXeZQEAAAAAAADAM8PB3gUASF0tW7ZUVFSUjh07Jknavn27mjZtaueqAAAAAAAAAODZQNACPAfeffdde5fwxM6fP68bN24kez9XV1cVKVIkFSoCAAAAAAAAAIIWAE+JAQMGaPbs2cner1atWgoKCkr5ggAAAAAAAABArNECAAAAAAAAAABgGEELgKfCrFmzFB0dnewXo1kAAAAAAAAApCamDgMAAAAAAHhKhY1uZO8SAAB47jGiBQAAAAAAAAAAwCCCFgAAAAAAAAAAAIMIWgAAAAAAAAAAAAwiaAEAAAAAAAAAADCIoAUAAAAAAAAAAMAgghYAAAAAAAAAAACDCFoAAAAAAAAAAAAMImgBAAAAAAAAAAAwiKAFAAAAAAAAAADAIIIWAAAAAAAAAAAAgwhaAAAAAAAAAAAADCJoAQAAAAAAAAAAMIigBQAAAAAAAAAAwCCCFgAAAAAAAAAAAIMIWgAAAAAAAAAAAAwiaAEAAAAAAAAAADCIoAUAAAAAAAAAAMAgghYAwP/Yu++wquv//+MPUIYIbhyIiZqmCZqz3OTOgZpmmjtHWmqZVpoLNSvLT2k5UlPc5khRXDkKJ5q4FTMXhgNcuMDF+P3hj/MF4RzgDXoc99t1cV1vzvs1nu/DqT/Ow9frBQAAAAAAAMAgghYAAAAAAAAAAACDCFoAAAAAAAAAAAAMImgBAAAAAAAAAAAwiKAFAAAAAAAAAADAIIIWAAAAAAAAAAAAgwhaAAAAAAAAAAAADCJoAQAAAAAAAAAAMIigBQAAAAAAAAAAwCCCFgAAAAAAAAAAAIMIWgAAAAAAAAAAAAwiaAEAAAAAAAAAADCIoAUAAAAAAAAAAMAgghYAAAAAAAAAAACDCFoAAAAAAAAAAAAMImgBAAAAAAAAAAAwiKAFAAAAAAAAAADAIIIWAAAAAAAAAAAAgwhaAAAAAAAAAAAADCJoAQAAAAAAAAAAMIigBQAAAAAAAAAAwKCs1i4AAAAAAAAAxngMXmPtEh6L0G+bWrsEAADSjBUtAAAAAAAAAAAABhG0AAAAAAAAAAAAGETQAgAAAAAAAAAAYBBBCwAAAAAAAAAAgEEELQAAAAAAAAAAAAYRtAAAAAAAAAAAABhE0AIAAAAAAAAAAGAQQQsAAAAAAAAAAIBBBC0A0sXX11c2NjaysbFJ8b63t7dsbGzk7e39ZAt7SnTt2lU2Njby8PCwdikAAAAAAAAAngCCFryQbty4ocmTJ6tJkyby8PCQk5OTcubMqVKlSqlDhw5avHixYmNjrV3mC2HdunXq1auXXn31VeXJk0eOjo566aWXVLduXY0fP17h4eHWLhEAAAAAAAAAzMpq7QKAJ+3XX3/V4MGDdfXq1SSv37lzRzdv3tSJEye0cOFCvfrqq5o2bZpq1qxppUqfb0ePHlXPnj0VFBSU7F5YWJjCwsL0119/adSoURo2bJg+//xzs6toAAAAAAAAAMBaCFrwQvnss880fvx4SVLWrFnVrl07+fj4qGjRorp//76OHz+uRYsWafPmzQoJCVH9+vU1f/58tWnTxsqVP1+2bdsmHx8fXb9+XZJUqVIldenSReXKlZOzs7POnz+v9evXa86cObp9+7YGDx6skJAQzZo1S1myZLFu8QAAAAAAAACQCEELXhiTJ082hSxFihRRQECAypcvn6RNzZo11b17dy1evFidO3fWvXv31KFDB7388st67bXXrFD18+fcuXNq2bKlrl+/LhsbG40fP14DBgxIslqlUqVK8vHx0eeff66WLVvq4MGDmjt3rooWLarRo0dbsXoAAAAAAAAASIozWvBCOHv2rAYNGiRJcnZ21p9//pksZEns3Xff1Zw5cyRJ9+/fV6dOnRQfH/9Ean3e9erVS9euXZMkff311/r000/Nbgnm4eGhTZs2yd3d3dR+//79T6xWAAAAAAAAAEgNQQteCBMmTNDdu3clSSNHjtTLL7+cap927dqpadOmkqQjR45o9erVkqQtW7bIxsZGNjY2+vXXX1Md57vvvjO1P3z4cIptzp07pyFDhqhixYrKnTu36UD4d999V3/99ZfZsUNDQ01jz549W5K0fPlyNWnSRG5ubsqaNau8vb2T9Nm1a5eGDRsmb29vFSxYUPb29sqRI4deffVV9enTRyEhIak+k1EHDx7UunXrJEnlypXTZ599lmqffPny6ccff5QkxcbGmlYlJebr62t6HywJDAw0tQsMDEx2Py4uTn/++acGDRqkGjVqKF++fLKzs1OuXLn02muvadCgQfrvv//S8KQAAAAAAAAAXhQELXjuxcfHa+7cuZKkbNmyqWfPnmnu279/f9O1n5+fJKl27dp66aWXJEkLFixIdYyFCxdKkjw9PeXl5ZXs/syZM1WqVCl9++232r9/v65fv6579+4pLCxMS5YsUd26ddWjRw/FxMRYnCc+Pl6dO3dW69attW7dOl28eFGxsbFJ2syePVvVqlXT2LFjtWXLFkVEROjBgwe6deuWjh07pl9++UXlypXTlClTUn0uIxJWCUlS375903zeyttvv21a1bJ06VLdunXrsdQ3evRo1atXT//73/+0c+dOXb16VTExMbpx44YOHjyo//3vfypTpoxWrFjxWOYHAAAAAAAA8OzhjBY8944ePWraqqp27drKmTNnmvvWq1dPTk5Oio6O1vbt2yVJNjY2at++vcaNG6etW7fq3LlzphDgUSEhITp48KAkqWPHjsnuz5o1Sz169JD0MIj54IMPVKFCBTk5OenMmTOaOXOm1q5dq5kzZypnzpz63//+Z7bWCRMm6NChQ6pVq5b69OmjUqVK6fr16woNDTW1iYmJUe7cueXj46M6deqoZMmSyp49uy5cuKB9+/bpp59+0pUrV9S3b1+VLl1adevWTfN7lRZbt241XTdv3jzN/WxtbdW0aVNNmzZNDx480K5du9SgQYNMrU16+P4UKlRIrVq1UrVq1VS8eHE5OjoqLCxMO3fu1JQpU3T79m2999572rdvn8qUKZPpNZw7d87i/YsXL2b6nAAAAAAAAACMI2jBcy8h6JCkihUrpqtvlixZVL58eQUFBeny5cu6cOGC3Nzc1KFDB40bN05xcXH67bffTOe/PCphxUtCOJNYWFiY+vXrJ0nq0qWLfv31V2XN+n//SVaoUEFvv/22hg4dqq+//loTJkzQBx98oFKlSqU416FDh9S5c2fNnj3b7BZab731lt577z05OTkleb1ChQpq2rSp+vfvr9q1a+vQoUMaOXJkpgcthw4dkiQVKlRIBQsWTFffxH+7ffv2PZagpUePHho5cqTs7OySzd2iRQv169dPb7zxhs6fP6+vv/5a8+bNy/QaihQpkuljAgAAAAAAAHh82DoMz70rV66YrtP75b4kFShQwHR99epVSZKXl5dpGzBL24ctWrRIklSrVi3TdmMJJk6cqOjoaLm5uemXX35JErIkNmrUKBUuXFhxcXGmLdBSkitXLk2aNMniOSWFCxdOFrIkljNnTo0ePVqStH37dtPzZoYbN27owYMHkjL+d0j8N81MHh4eyUKWxNzd3U3nyqxatUrx8fGPpQ4AAAAAAAAAzw5WtOC5l/g8j+zZs6e7f+I+N2/eNF137NhRX3zxhQ4cOKBjx44l20Zq586dOnPmjCSpQ4cOycZduXKlpIdbaDk6OpqdP2vWrKpWrZqWLVumoKAgs+2aN28uFxeXtD3U/xcVFaXLly8rKirKFBokDhoOHjyYaatabt++bbrO6N/h+vXrmVFSqm7evKmrV68qOjra9P4kBFU3b97UmTNnVLx48UydMywszOL9ixcvqmrVqpk6JwAAAAAAAADjCFrw3EscPiT+sj+tEvfJkSOH6bp9+/YaPHiw4uPjtWDBAn311VdJ+iWsdLG3t1ebNm2S3Ltx44ZOnjwpSZo2bZqmTZuWplrCw8PN3itXrlyaxrhy5Yp++OEH/f777zpx4oTFVRmZuXIkM/8ODg4OmVJTSs6ePavx48crICBAZ8+etdj2ypUrmR60mDvvBwAAAAAAAMDTiaAFz728efOari0FFeZERESkOFaRIkVUu3ZtbdmyRQsXLkwStMTExGjJkiWSHp6LkidPniRjXrp0Kd11SFJ0dLTZe7lz5061/969e9WoUaM0bwl2586dNNeWmhw5csjOzk4PHjzI8N8hX758mVZXYuvWrVObNm0svs+JZeb7AwAAAAAAAODZRNCC51758uVN1/v3709X39jYWNMB7q6urnJzc0tyv0OHDtqyZYvOnDmjoKAgVatWTZK0YcMG02qQlLYNi42NNV1/8skn6t69e5rqsbe3N3svS5YsFvvev39fbdu21dWrV2VnZ6d+/fqpRYsWKlWqlHLnzm1aJXL69GmVKFFCkjL9DJJy5cpp7969Cg8PV3h4eLrOatm3b5/p+tFt2jLD1atX9d577yk6OlrOzs4aNGiQGjVqpBIlSihnzpym9/7PP/9UvXr1JGX++wMAAAAAAADg2UPQgueep6en8uTJo2vXrmnr1q26ceOGcubMmaa+mzZtMq1uqFmzZrL777zzjvr166d79+5pwYIFpqAlYdswFxcXNWvWLFm/xCtjoqOj5enpme7nSq8///xTp0+fliRNnjxZPXv2TLFdZGTkY6uhdu3a2rt3r6SHh8n36tUrTf3i4uK0du1aSZKNjU2yv4WtrW2Stol/TywqKsrsHEuXLjWd/bJ8+XI1j5N+1AABAABJREFUaNAgxXaP8/0BAAAAAAAA8OxJ+dtI4DliY2OjTp06SXq41dOMGTPS3Pfnn382XXft2jXZ/Vy5cqlJkyaSpCVLligmJkbR0dGmg+5bt26tbNmyJevn6uqqwoULS3oY5jyJlRFHjx41Xbdr185su+Dg4MdWQ+L3cPLkyUlW9ljy+++/69y5c5KkatWqmd67BInPf7EUhBw/ftzsvYT3J0+ePGZDFunxvj8AAAAAAAAAnj0ELXghfPzxx6atsUaNGmU6iN6S3377TWvWrJEkvfrqqymuTJH+b2uwy5cva+PGjfL39zetnEhp27AEPj4+kh5u1bVs2bK0P4xBMTExpmtzZ5DExcVp+vTpj62GcuXKmYKpQ4cO6fvvv0+1z5UrV/Tpp5+afv/ss8+StSlWrJjp2lIQsmjRIrP3Et6fe/fuKS4uLsU20dHRmjt3bqo1AwAAAAAAAHhxELTghVCsWDF99913kqTbt2+rXr16OnjwoNn2S5YsUZcuXSQ9PBdl3rx5ZrejatasmXLlyiXp4ZZhCduGFSxYUG+++abZOT777DNT+NO7d+9UV0qsXbvWdF6MESVLljRdz5kzJ8U2Q4YMSXIWyuMwbdo05cmTR5L05ZdfasKECWZX9Jw9e1b169c3rWZp2rSpWrZsmaxdjRo1lDXrw50Qf/zxxxTH+/bbby2+xwnvT1RUVIrBV2xsrHr06KELFy5YfkAAAAAAAAAALxTOaMELo3///jp9+rQmTpyo//77T5UrV1b79u3l4+OjokWL6sGDB/rnn3+0cOFCbd68WdLDkGXu3LmqWLGi2XEdHBzUunVrzZw5U/7+/rp//74kqX379hYPqC9WrJh++eUXdevWTdeuXVONGjXUqVMnNWvWTC+99JJiYmJ07tw5/f3331q2bJlOnTqlgIAAlStXztDzN2rUSPnz59elS5c0dOhQnT17Vj4+PsqXL59OnjypGTNmaPPmzapRo4Z27NhhaI60cHd3l7+/v3x8fHT9+nUNGDBACxYsUJcuXVSuXDllz55dFy5c0Pr16zVnzhzT6iBPT0/NmzcvxTFdXV3Vpk0b/fbbb/rjjz/k4+Ojjz76SAUKFNB///2nOXPmaMWKFapWrZqCgoJSHKNt27b68ssvde/ePXXt2lUHDhxQ/fr1lSNHDh09elQ///yz9u7d+9jfHwAAAAAAAADPFoIWvFAmTJig0qVLa+jQobp27ZrmzZtn9sv70qVL65dfflGdOnVSHbdDhw6aOXNmksPWLW0blqBr167Kli2bevXqpZs3b2rmzJmaOXNmim1tbW2VPXv2VMc0J3v27Jo7d65atmypu3fvasqUKZoyZUqSNt7e3po0aZI8PT0Nz5MWtWrV0vbt29WzZ08FBQUpODjY4moTHx8fzZ49W7lz5zbbZsKECdq7d69OnDih1atXa/Xq1Unut23bVr169VL9+vVT7O/u7q6pU6eqR48eunPnjr755ht98803Sdq8++676tmzp9kxAAAAAAAAALx42DoML5zevXvr1KlT+vnnn9W4cWMVKVJEjo6OcnZ2VokSJdSuXTstWrRIhw8fTlPIIkl16tSRu7u76fdSpUqpUqVKaer77rvvKjQ0VN9++628vb2VP39+2dnZycnJScWLF1fz5s31ww8/KDQ01OJWZGnRqFEjBQcHq2PHjnJzc5OdnZ1cXV1Vp04dTZ8+XZs3b85QmJMeZcuW1c6dO7V27Vr16NFDpUuXNm3Bltj48eO1cuVKiyGLJBUoUEC7d+/WF198oZIlS8rBwUF58uRR7dq1NW/ePC1evNjiCiNJ6tatm7Zt26aWLVvK1dVVdnZ2KlSokBo3bqzFixfrt99+S3UMAAAAAAAAAC8Wm3hzhyMAgJXs2bNH3t7eio6OVuHChbVz50699NJL1i7rqXDu3DkVKVJEkhQWFpYk4AMAAADw4vEYvMbaJTwWod82tXYJAIDn1OP4fo0VLQCeOlWqVNH8+fNla2ur8+fPq3Hjxrp27Zq1ywIAAAAAAACAZAhaADyVWrVqpXHjxkmSjh07pmbNmunOnTtWrgoAAAAAAAAAkspq7QIAwJxBgwbJxcVFFy9elCT9/fffaT43BwAAAAAAAACeBIIWAE+1Dz74wNolAAAAAAAAAIBZbB0GAAAAAAAAAABgEEELAAAAAAAAAACAQWwdBgAAAAAA8IwK/baptUsAAOCFx4oWAAAAAAAAAAAAgwhaAAAAAAAAAAAADCJoAQAAAAAAAAAAMIigBQAAAAAAAAAAwCCCFgAAAAAAAAAAAIMIWgAAAAAAAAAAAAwiaAEAAAAAAAAAADCIoAUAAAAAAAAAAMAgghYAAAAAAAAAAACDCFoAAAAAAAAAAAAMImgBAAAAAAAAAAAwiKAFAAAAAAAAAADAIIIWAAAAAAAAAAAAgwhaAAAAAAAAAAAADCJoAQAAAAAAAAAAMIigBQAAAAAAAAAAwCCCFgAAAAAAAAAAAIMIWgAAAAAAAAAAAAwiaAEAAAAAAAAAADCIoAUAAAAAAAAAAMAgghYAAAAAAAAAAACDCFoAAAAAAAAAAAAMImgBAAAAAAAAAAAwiKAFAAAAAAAAAADAIIIWAAAAAAAAAAAAgwhaAAAAAAAAAAAADCJoAQAAAAAAAAAAMIigBQAAAAAAAAAAwCCCFgAAAAAAAAAAAIMIWgAAAAAAAAAAAAwiaAEAAAAAAAAAADCIoAUAAAAAAAAAAMAgghYAAAAAAAAAAACDCFoAAAAAAAAAAAAMImgBAAAAAAAAAAAwiKAFAAAAAAAAAADAIIIWAAAAAAAAAAAAgwhaAAAAAAAAAAAADMpq7QIAAAAAAACeZR6D11ht7tBvm1ptbgAA8BArWgAAAAAAAAAAAAwiaAEAAAAAAAAAADCIoAUAAAAAAAAAAMAgghYAAAAAAAAAAACDCFoAAAAAAAAAAAAMImgBAAAAAAAAAAAwiKAFAAAAAAAAAADAIIIWIAXe3t6ysbGRt7e3tUsBAAAAAAAAADzFCFrwVIqKitL06dPVtGlTubu7y9HRUc7OzipevLiqVaum3r1767ffftPFixetXWq6dO3aVTY2Nhn68fX1tfZjWMWrr74qGxsb5cuXT/Hx8RbbVqhQwfR+jRgxwmLb3bt3m9p+8sknSe6Z+3s5OjqqQIECeuWVV9SqVSuNHTtW+/bty+gjAgAAAAAAAHgGZbV2AcCj/v77b7377rsKDQ1N8vq9e/d05swZnTlzRrt27dK0adNUoEABhYeHW6dQPFG1a9fWsWPHdPXqVR09elSenp4ptrt586YOHTpk+n3r1q0Wx922bVuSOdLi3r17unTpki5duqR///1X/v7+GjZsmKpUqaJx48bpzTffTNM4AAAAAAAAAJ59BC14qpw8eVINGjTQzZs3JUk+Pj5q06aNSpUqJXt7e125ckUHDx7Uxo0b9ddff1m52vQbO3asBg0alOK9lStXatiwYZKkr776Si1atEixXf78+R9bfU+z2rVra9q0aZIehiPmgpYdO3YoLi5OWbJkUWxsrHbv3q379+/L3t4+xfaJg5ZatWqZnf+PP/6Qm5ubJCkuLk7Xr19XeHi4du/eLX9/f50+fVp79uxR/fr1NWzYMI0aNcroowIAAAAAAAB4hhC04KkydOhQU8gya9YsdevWLVmbBg0aaNCgQbp8+bKWLFnypEvMkMKFC6tw4cIp3gsODk7SzlyQ8KKqU6eO6Xrr1q3q06dPiu0SgpNGjRpp+/btunnzpvbs2aMaNWokaxsfH6/t27dLksqUKSNXV1ez85cqVUoeHh7JXm/btq2+//57zZkzR3379lV0dLRGjx6tAgUK6MMPP0zPIwIAAAAAAAB4BnFGC54asbGxWr16tSSpcuXKKYYsibm6uuqjjz56EqXhKVC4cGEVK1ZMUtJVKI9KuFenTh1Vq1bNYvujR4/q2rVrktK+bVhKbG1t1a1bN/3xxx/KmvVhfj1w4EC2tQMAAAAAAABeAAQteGpcvnxZ0dHRkqSXX37Z8Dj3799XQECA+vbtqypVqih37tyys7NT3rx59frrr8vX11dXrlzJlJojIyP11VdfqVq1asqXL58cHBzk5uamFi1aaPny5Zkyx4MHD1SwYEHZ2NjorbfeSrX9kSNHTIe2f/3110nuJbzu6+srSdq0aZN8fHxUqFAhOTo6qnjx4urbt6/OnTuXptqOHz+u/v37q2zZssqZM6eyZcum4sWLq1u3bo/lcPiEMOT8+fM6ffp0svv37t3Tnj17JEk1a9ZUzZo1JZk/p8XI+SyW1KxZUwMGDJAk3b17Vz/++GOGxwQAAAAAAADwdCNowVMj8Rkax44dMzxOr1695OPjo8mTJys4OFjXr19XTEyMrl27pr///lujRo1S6dKltWPHjgzVu3btWhUvXlzDhw/Xrl27dPXqVd2/f18XL17UqlWr1Lp1azVr1ky3b9/O0Dx2dnbq3LmzJGnDhg06f/68xfazZs2SJGXJkkVdunQx227UqFFq0KCBAgICFB4ernv37unMmTOaPHmyypYtm+oh8mPGjJGnp6d+/vlnhYSE6ObNm7p7967OnDmj2bNnq3Llyho5cmQ6n9ayxGFISqtU/v77b927d0+Ojo6qXLmyKWjZuXOn4uLikrVP/IyZEbRIUv/+/WVr+/B/rStWrMiUMQEAAAAAAAA8vQha8NTIkyePihYtKkk6ePCgxo0bl+KX46mJiYlR8eLFNXDgQC1evFhBQUHas2ePli1bpt69e8ve3l5Xr15Vq1atdOnSJUO1bty4UT4+Prp+/bo8PDw0btw4BQYGat++fQoICFDHjh0lSWvWrLEYdqRVjx49JD08hH3u3Llm2z148EDz58+XJDVs2NDseTBr1qyRr6+vXnnlFc2cOVN79uzRpk2b9MEHH8jW1lY3b95Us2bNdPbs2RT7jxgxQiNGjFBMTIyqV6+uX3/9VUFBQQoODtaCBQtUrVo1xcfHa/To0fr5558z+PT/J3EYklIQlBC+VK1aVfb29nr99ddlZ2enGzdu6ODBg2bbFytWTO7u7plSo7u7u0qXLi1JOnHiBNuHAQAAAAAAAM85ghY8Vfr162e6Hjx4sIoXL65+/fpp4cKFOnXqVJrGGDVqlE6ePKnx48erbdu2euONN1S5cmW1bt1aU6dOVXBwsJydnXX58mVDIUBUVJQ6deqk2NhYNWzYUEePHtXnn3+uOnXqqEKFCmrWrJnmzZun6dOnS5KWL1+uzZs3p3uexEqVKmUKGfz8/My2W716tS5fvixJ6t69u9l2wcHBqlixooKDg/X++++rcuXKqlevnn755RfNnj1bknTr1i0NGjQoWd89e/Zo7NixkqRhw4Zpx44d6t69u9544w1VqlRJ7733nrZv324Km4YOHarr168beexkXn75Zbm5uUlKeUVLwmu1atWSJGXLlk0VK1ZMsf2ZM2dMq4MyazVLgoQ5pYdhS3qcO3fO4s/FixcztVYAAAAAAAAAGUPQgqfKgAED9P7775t+P3v2rCZNmqQOHTro5ZdfVsGCBdWuXTsFBAQoPj4+xTFKlCghGxsbs3N4eXmZVoj4+/unu0Y/Pz9FRETI0dFR8+bNk5OTU4rtevbsqapVq5r6ZFRCzSdOnDC77VnCPPny5VPz5s0tjjd9+nQ5Ozsne71Tp06ms2D8/f2TfbGfsNKoUqVKGj16dIpj29ra6ueff5aDg4Nu3bqlZcuWWX64dEgIUR5dLRIXF6edO3cmaSPJ7DktmX0+S2J58+Y1XUdGRqarb5EiRSz+JHymAAAAAAAAADwdCFrwVLG1tdXMmTO1bt06NWjQwHTWRYKIiAgtXrxYPj4+qlq1appWuURGRurUqVM6evSojhw5oiNHjihXrlySpJCQED148CBdNa5cuVKSVKdOHeXPn99i24Qv8IOCgtI1R0ratGljqjul4CYiIkLr1q2TJHXs2DHJmTeP8vLyUqVKlczeTwi7YmJiFBgYaHr9wYMHpjnatGljMdDKlSuXvLy8JGXO8ycwd07LwYMHdfPmTdna2qpatWqm1xOClkdXtCQOXurUqZNp9UlKEmDdunUrU8cGAAAAAAAA8HTJau0CgJQ0btxYjRs3VmRkpHbs2KHg4GDt3btX27Zt040bNyQ93P6qVq1a2rt3rwoVKpSk/+HDh/Xjjz9q3bp1Fs/IiIuLU2RkZKqBSWLBwcGSpD/++MNi0JBYZpzTkS1bNr333nuaMmWKlixZookTJyp79uym+/PmzVNMTIwkJVkVlJIqVapYvJ941cSRI0dM1yEhIYqOjpYkDRkyREOGDElT7Zl5Tkni1Spbt27VO++8I+n/gpTy5csrR44cpjY1a9aUjY2NLl26pOPHj+uVV15J0t7NzU0lSpTItPqkpOFK4lrSIiwszOL9ixcvsqoFAAAAAAAAeIqwogVPtdy5c6tZs2by9fVVQECAIiIiNGvWLOXOnVvSwy+dhw8fnqTPzJkzVbFiRfn5+aXpC/47d+6kuZ4HDx4YOm8kIZzIqJ49e0p6+EX+77//nuRewiqXKlWqmFaSmJNasFSgQAHT9bVr10zXly5dSle9CTLr+SXJ09NTefLkkZR0lUrCdcIKlgT58uVLFq5cunRJ//77r6TM3zZMkq5cuWK6Tqg1rdzd3S3+PBoqAgAAAAAAALAuVrTgmeLg4KBu3brJzc1NjRs3lvTwsPnp06fL1tZW//zzj3r37q2YmBjlz59fn332merWrSsPDw+5uLjIzs5OkjRr1izTYfHmznpJSWxsrOm6bdu2yUKex+21115TpUqVtHfvXvn5+alz586SpN27dyskJERS6qtZJKV5Jc6jEj//999/b/obpCbxypuMsrGxUc2aNbVq1SodPnxY169fV65cuUwhSuIVLwlq1qypf/75R1u3blWPHj2SbBv2OIKW/fv3m65LlSqV6eMDAAAAAAAAeHoQtOCZ1KhRIxUpUkRhYWGKjIzU1atX5erqqtmzZysmJkZZsmRRYGCgypQpk2L/9B5QnsDR0VFOTk6Kjo7W9evX5enpmZHHMKRHjx7au3evtmzZotOnT6t48eKm1SzZsmVT+/btUx0jIiIizfcTr8hIfMj7gwcPrPL80sNwZNWqVYqLi9OOHTtUsmRJU82PrmhJeO3XX381hTGJV8JkdtASFham48ePS5JeeeUVubq6Zur4AAAAAAAAAJ4ubB2GZ5abm5vp2tb24Uf56NGjkh6e02EuZJH+75wVIypUqCBJ2rFjR6ZuiZVW7733npycnBQfH685c+bozp07+u233yRJb7/9tnLmzJnqGHv27Enz/cRhStmyZWVvby9J2rBhg5HyM0XicGTr1q2m4KREiRIpbq2VEL6EhoYqLCzM1D5v3rx69dVXM7W2n376SXFxcZKkVq1aZerYAAAAAAAAAJ4+BC14JkVHR5u2ysqRI4dp1UXCYfCWApDw8HCtXLnS8Nw+Pj6SpKioKE2ePNnwOEblyJFDbdu2lSTNmTNHy5Yt040bNyTJtB1aag4fPpxke6tHzZo1S5KUJUsWeXt7m153cnJSvXr1JEmBgYH6+++/jTxChlWsWFHOzs6SHq5OMXc+S4LEAczq1at16NAhSQ+3GTO6jVpKtm/frgkTJkh6uPrpk08+ybSxAQAAAAAAADydCFrw1Lh9+7Zef/11rV692rQiICVxcXHq16+fbt26Jelh8JHwZXnJkiUlSf/++6927dqVrG90dLTee+893blzx3CdvXv3Vr58+SRJw4cP17p16yy237FjR5IzQTJDjx49JElnz57V559/LkkqVqxYklAkNb169VJUVFSy1xcuXKi1a9dKklq2bJlshcjQoUNN73e7du106tQps3PExsZq4cKFOnfuXJrrSossWbKoevXqkh6uTtq8ebOklM9nSVCjRg1J0vjx401nzWTWtmFxcXGaPXu2GjVqZAr7Jk6cqAIFCmTK+AAAAAAAAACeXpzRgqfK33//rebNm6tw4cJq2bKlqlWrpqJFi8rFxUXXr1/X/v37NWvWLB0+fFiSlDNnTo0ZM8bUv1OnTvr5558VFxenJk2a6PPPP1f16tXl6OiovXv36scff9SJEydUo0YN7dixw1CNOXLk0KJFi/TWW2/p3r17atasmVq3bq3WrVurRIkSkqSLFy9q7969WrFihQ4dOqSff/45U88CqVGjhsqUKaNjx44pPDxcktStW7c0r86oXLmygoODVblyZX3xxRfy8vLSjRs3tGzZMk2bNk2S5OLiovHjx6c494gRIzRq1CidOXNGr732mrp3766GDRuqUKFCunfvnkJDQxUUFKRly5bpwoULOnz4sNzd3TPt+aWHIcmGDRv04MEDU5BjbkVLwr1ly5bp9OnTScZIq3///Ve3b9+W9DBYuXHjhsLDw7V7926tWLHCNK6tra1GjhypXr16GXksAAAAAAAAAM8YghY8NbJmzaqCBQsqPDxc58+f1+TJky1uzVWyZEktWrRIHh4epteqVKmiUaNGaeTIkYqMjNSQIUOS9Rs4cKA8PT0NBy2SVL9+ff3xxx/q0KGDwsPDtXTpUi1dutRs+xw5chiey5zu3btr0KBBkh5+ud+1a9c0923atKmaNm2qUaNGqVu3bsnu58iRQ6tWrUry3ibm6+urXLlyafDgwbp9+7YmTpyoiRMnptjW3t5ejo6Oaa4trR4NSfLnz69XXnnFbPtHQ5gcOXLotddeS/N8jRo1SrVN1apV9d1336lOnTppHhcAAAAAAADAs42gBU8NR0dHnT9/Xrt27dKmTZu0a9cuHT9+XBEREbp7966yZ88uNzc3lS9fXi1atFDr1q1NB7MnNmLECFWuXFkTJ07Unj17FBUVpfz586tq1arq3bu3GjRooNmzZ2e43rp16+rUqVPy8/PT6tWrdfDgQV29elW2trZydXVVmTJlVKdOHbVu3dpiAGBUp06dTEFLgwYNVKRIkXT19/X1VbVq1fTzzz8rODhYkZGRcnNzU5MmTTRkyJBUV6B88skneueddzRt2jRt3LhRJ0+e1PXr1+Xg4KDChQvLy8tLDRo0UOvWrU1brWWmqlWrytHRUXfv3pX0f1uDmfPaa6/JxcXFtOVc9erVlSVLFkNz29vbK2fOnMqVK5deffVVValSRU2bNk1XcAMAAAAAAADg+WATHx8fb+0iAKTf5s2bVb9+fUnS4sWL1bZt21T7JGwtNnLkSPn6+j7O8vCYnDt3zhSqhYWFZfqWbAAAAADSz2PwGqvNHfptU6vNDQDAs+hxfL9mm+ERAFjFrFmzJEl58+ZVixYtrFwNAAAAAAAAALyYCFqAZ1BoaKjpTJhu3brJwcHByhUBAAAAAAAAwIuJM1qAZ8T58+cVHR2tM2fOaPDgwXrw4IEcHR31ySefWLs0AAAAAAAAAHhhEbQAz4gOHTpoy5YtSV4bPXq0ChcubKWK0u/IkSOG+rm7uytXrlyZWwwAAAAAAAAAZAKCFuAZ4+TkpFKlSumTTz5Rly5drF1Ounh5eRnq5+fnp65du2ZuMQAAAAAAAACQCQhagGdEYGBghseIj4/PeCEAAAAAAAAAABOCFgBPDEEPAAAAAAAAgOcNQQsAAAAAAEAGhH7b1NolAAAAK7K1dgEAAAAAAAAAAADPKoIWAAAAAAAAAAAAgwhaAAAAAAAAAAAADCJoAQAAAAAAAAAAMIigBQAAAAAAAAAAwCCCFgAAAAAAAAAAAIMIWgAAAAAAAAAAAAwiaAEAAAAAAAAAADCIoAUAAAAAAAAAAMAgghYAAAAAAAAAAACDCFoAAAAAAAAAAAAMImgBAAAAAAAAAAAwiKAFAAAAAAAAAADAIIIWAAAAAAAAAAAAgwhaAAAAAAAAAAAADCJoAQAAAAAAAAAAMIigBQAAAAAAAAAAwCCCFgAAAAAAAAAAAIMIWgAAAAAAAAAAAAwiaAEAAAAAAAAAADCIoAUAAAAAAAAAAMAgghYAAAAAAAAAAACDCFoAAAAAAAAAAAAMImgBAAAAAAAAAAAwiKAFAAAAAAAAAADAIIIWAAAAAAAAAAAAgwhaAAAAAAAAAAAADCJoAQAAAAAAAAAAMIigBQAAAAAAAAAAwCCCFgAAAAAAAAAAAIMIWgAAAAAAAAAAAAwiaAEAAAAAAAAAADCIoAUAAAAAAAAAAMAgghYAAAAAAAAAAACDCFoAAAAAAAAAAAAMImgBAAAAAAAAAAAwiKAFAAAAAAAAAADAIIIWAAAAAAAAAAAAg7JauwAAAAAAAIBnlcfgNVadP/TbpladHwAAsKIFAAAAAAAAAADAMIIWAAAAAAAAAAAAgwhaAAAAAAAAAAAADCJoAQAAAAAAAAAAMIigBQAAAAAAAAAAwCCCFgAAAAAAAAAAAIMIWgAAAAAAAAAAAAwiaMFTJTAwUDY2NrKxsVFgYKC1ywGSmT17tukzGhoaau1yAAAAAAAAAFgZQcszIHH44Ovra+1ynipXr17VpEmT5OPjoxIlSihHjhxycHBQwYIF5e3traFDh+rIkSPWLhMZ4OHhYfr8P/rj4OCgQoUKqWHDhpo6daru3Llj7XIBAAAAAAAAvGAIWvBMiouL0zfffKPixYurX79+CggI0OnTp3Xr1i3dv39fERER2rJli77++mt5eXmpYcOGCgkJsXbZZnl7e8vGxkbe3t7WLuWZcv/+fYWHh2vjxo368MMPVa5cOZ04ccLaZQEAAAAAAAB4gWS1dgFAet29e1ft27eXv7+/JMne3l5t27ZVw4YN5eHhIScnJ0VERCg4OFgrVqzQgQMHtHHjRk2fPl0TJkywau0wzs3NTX/88UeS1+7cuaPjx49rxowZ2rp1q06ePKmmTZvq8OHDcnBwsFKlAAAAAAAAAF4kBC145nz44YemkKVKlSpavHixihUrlqxdkyZNNGLECAUEBOiTTz55skUi09nZ2cnT0zPZ61WqVNF7772nevXqKTAwUCdOnJC/v7/effddK1QJAAAAAAAA4EXD1mF4pqxcuVJ+fn6SJE9PT/35558phiyJNW/eXMHBwapbt+6TKBFWYGtrq0GDBpl+3717txWrAQAAAAAAAPAiIWh5zkVFRWnx4sXq0aOHXnvtNeXMmVN2dnZydXVVnTp1NH78eN2+fdviGAkHj/v6+kqS9uzZo/bt28vd3V0ODg4qXLiwOnXqpGPHjqVaz507dzR27FiVL19e2bNnV968eVWjRg3NmDFDcXFxqfYfO3as6drPz0/Ozs6p9pGk3Llzy8fHJ8V7cXFxmj9/vpo0aaKCBQvK3t5erq6uevPNNzVlyhTdv3/f7Li+vr6m90d6uK3Z999/r4oVK8rFxUUuLi6qWrWqJk2apJiYmGT9u3btKhsbG23ZskWStGXLlmQHvnt4eKQ49+HDh9WrVy+VLFlSTk5OcnFxUdmyZTVgwACFhoaarTkwMNA0dmBgoNl2UvK/vaVnv3HjhsaMGaMKFSooV65csrGx0ezZsy2On5kSv093795NsU1mfpYtCQsLU+nSpWVjYyNnZ2dt3LgxQ+MBAAAAAAAAeHqxddhzrmnTpqYv8RO7cuWKtm7dqq1bt2rKlClau3atSpcunep4kyZN0oABA5KEBhcuXND8+fO1fPlyrVu3TrVr106x74ULF1SvXj39888/pteio6O1c+dO7dy5U8uXL9eAAQPMzn3kyBHt2bNHklSzZk1Vrlw51XpTc+3aNfn4+GjHjh1JXr9y5YoCAwMVGBioSZMmad26dSpatKjFsSIiItSoUSMdPHgwyet79uzRnj17tGHDBvn7+8vWNuP55jfffKNhw4YlC6dCQkIUEhKiqVOnavr06ercuXOG50qLEydOqGHDhhYDnsct8dwvvfRSqu0z8lm25Pjx42rQoIHCwsKUO3durV27Vm+88Ua6xwEAAAAAAADwbGBFy3MuJiZGXl5eGjp0qFasWKHdu3dr165dWrx4sdq1aydbW1udOXNGLVu2NLsKIMEff/yh/v37q2zZspo1a5b27NmjrVu3asCAAbK1tVV0dLQ6deqU4gqQmJgYNWvWzBSyNGzYUCtWrFBwcLCWL1+u+vXra/369Ro2bJjZ+RMHRs2aNTP4jvyf2NhYNWvWzBSy1KlTR0uXLlVwcLBWrVqlli1bSpKOHTumevXqpbry5+2339axY8fUv39/bdy4UXv37tXChQtVpkwZSVJAQIBmzJiRpM/YsWN1+PBhU2hUuXJlHT58OMnPhg0bkvSZMmWKvvzyS8XFxcnV1VXjx49XUFCQtm/fLl9fX2XPnl337t1T165dtXbt2gy/T2nRpk0bnT9/Xv369dPGjRsVHBysRYsW6ZVXXnki88fHx+uHH36Q9HDVSmqfj4x8li3Zu3evatasqbCwMBUqVEhbt24lZAEAAAAAAACec6xoec75+fmpZMmSyV5//fXX1bZtW3Xv3l2NGjXS8ePHtWDBAnXv3t3sWLt27VKTJk20YsUK2dvbm16vVauW8ubNq2HDhum///7TmjVr1KpVqyR9p06dqv3790uSevXqpWnTppnuVapUSa1atVL37t01a9Yss/MnXilSsWLF1B8+Fb/88ouCgoIkSZ07d9bs2bNN22BVqlRJzZs319ChQ/X111/r1KlTGjNmjMaNG2d2vIRVK97e3knqbNSokV599VVFRERoypQp+uCDD0z3CxcurMKFCyt79uySpOzZs6d44HuCy5cv67PPPpMkubm5adeuXSpSpIjpfo0aNeTj46NatWopKipKvXr10pkzZ2RnZ5f+Nygdjhw5ovXr16tBgwam1ypVqpSpczx48EBHjhxJ8trdu3f177//6tdff9Vff/0lSfr0008tvodSxj7L5gQGBsrHx0e3bt1SiRIltHHjxlTPD0rJuXPnLN6/ePFiuscEAAAAAAAA8PiwouU5l1LIklj9+vVNZ5f4+/tbbOvo6Cg/P78kX0wn6N+/v+n1bdu2Jbs/depUSVKBAgX0448/pjj+xIkT5erqanb+K1eumK4LFChgsda0mDx5siQpX758mjRpkilkSWz06NGmLdVmzJihe/fumR2vX79+SUKWBHny5FG3bt0kSYcOHdKNGzcM1+zn56fo6GhJ0v/+978kIUuCChUqaMiQIZKk8+fPp/p3zQxdu3ZNErI8DhcuXJCXl1eSnypVqqhDhw7666+/VKVKFS1dulTjx49PdayMfJZTsnLlSr311lu6deuWvLy8tH37dkMhiyQVKVLE4k/VqlUNjQsAAAAAAADg8SBoecFcvnxZJ06c0JEjR0w/CeHGo2eLPKpBgwbKnz9/ivdcXFxMoc7p06eT3Ltw4YLpcPG2bdvKyckpxTGcnZ3Vtm1bs/PfunXLdJ2wAsSoR2tycXFJsV2WLFlMIUlkZKT27dtndswOHTqYvZd4dceZM2eMlCxJ2rRpkyQpV65cat26tdl2PXr0SNbncbL07E/K3r17NWPGDB09ejTVtkY/yymZM2eOWrdurbt376patWrasmWLChYsmL7iAQAAAAAAADyz2DrsBbBjxw799NNP2rRpk65du2a2XeIVIylJWNlhTp48eSQlDUQk6fDhw6brKlWqWByjatWqppUmj0ochkRFRVkcJzWJt6B6/fXXLbZNfP/IkSOqVq1aiu0svT8J742U/P1Jj4S6K1SoYHE7sAIFCsjDw0OhoaHJttt6HMqVK/fY5yhatGiSA++lh2f/RERE6M8//9SIESO0YcMG1axZU2vWrFH16tXNjmX0s/yoiRMnauLEiYqPj1ejRo20fPlys0FiWoWFhVm8f/HiRVa1AAAAAAAAAE8RgpbnnK+vr0aNGpWmtnfu3LF4P7UvkG1tHy6Qio2NTfJ6ZGSk6drcKoIElrYEy5cvn+k6IiLC4jipSRw4pbYNWeLVCZaCKkvvT8J7IyV/f9IjYf60bJ1WsGBBhYaGWqw5s+TOnfuxz5GSrFmzqnDhwurUqZPq168vT09PXbt2TR07dtS///6rrFlT/l+c0c/yoyZMmCBJcnV11e+//57hkEWS3N3dMzwGAAAAAAAAgCeHrcOeY5s3bzaFLMWLF9eUKVN06NAhXb9+XTExMYqPj1d8fLyGDx/+WOuIj483Xad0Doq5to8qX7686drSFl7plZGarCW1mqUnW3eWLFme2FzmFCpUSJ06dZL0cHu2v/7667HPmbB92+XLl9WxY0fFxMQ89jkBAAAAAAAAPF0IWp5jM2bMkPTwPI+goCD16dNHXl5eypkzZ5IvxhOvOHkcEm+bldpKlEuXLpm9V6dOHdP1mjVrMq2m8PBwi20T15y4nzUkzJ9azdL/1f1ozYlX18TFxZntn9Ht2awh8ZZgibese1zGjx+vvn37SpL8/f3Vvn17whYAAAAAAADgBUPQ8hxLOBS8bt26FrfsCg4Ofqx1eHl5ma737Nljsa2l+56enqpcubIkadu2bdq7d6/hmjw9PU3Xu3fvttj277//TrFfZkrLCpXE8+/fv18PHjww2+7SpUs6e/Zskj4JEp91YylkO378eJpqepokDjksvT+Z6eeff1afPn0kScuWLVPHjh0ztD0cAAAAAAAAgGcLQctzLOFL5+joaLNtDhw4oF27dj3WOtzc3FSmTBlJ0tKlS82eBRMVFaUlS5ZYHOvLL780Xb///vtpXnVx/fp1BQQEmK3J3KHnsbGxmj17tqSH55BUrFgxTfOll6OjoyTp3r17FtvVr19f0sPn+f333822mzlzpmnrsIQ+CYoVK2a6thSyLVy40HLRT6HEQV2RIkWe2LyTJ09Wr169JEmLFy9W586dLa4WAgAAAAAAAPD8IGh5jpUsWVKStH37dp0+fTrZ/YRzJZ6EhH/xHx4eroEDB6bYZsCAARa3DpOkVq1aqUuXLpKkQ4cOqV69eqaVG+asXbtWlStX1ubNm5O8/tFHH0l6+D7069cvxTNNRo0apZCQEElSz5495eDgYHEuowoVKiRJOn36tMWzVbp162Y6cH3gwIEKCwtL1ubgwYP6+uuvJUmFCxdWy5Ytk9zPlSuXypUrJ0ny8/PTtWvXko2xdetW/fTTT4aexVr27dunxYsXS5Ls7e2TBUyPk42NjX755Rd1795d0sOQqmvXroQtAAAAAAAAwAsgq7ULQPocOHDAtMLCkpo1a6pz584KCAjQ7du3VadOHX3xxReqVKmS4uPjtXPnTv3www8KDw9XtWrVFBQU9Fjr7tOnj/z8/LR//35NnTpVZ86cUe/evVWkSBGFhYVpypQp2rBhg6pUqZLq9mJTpkzRtWvXFBAQoN27d+uVV15R27Zt1ahRI3l4eChbtmyKiIjQvn37tGLFCrNbjPXu3VsLFixQUFCQ5syZo7Nnz+qjjz5S8eLFdfHiRc2aNUvLly+XJJUoUULDhw/P9PclQfXq1eXn56dLly7p008/VceOHZUzZ05Jkp2dnYoWLSpJcnV11ffff6+PPvpIFy5cUOXKlTV48GBVr15dsbGx2rRpk77//nvdvn1bNjY2mj59uuzs7JLN9+GHH6p3796KiIhQrVq1NHz4cL3yyiu6du2aVq9eralTp6py5cqP/XORHg8ePNCRI0eSvBYbG6uIiAht2rRJkydPNq0I+uyzzyxul/c42NjYaMaMGYqLi5Ofn5/mzZunrFmzaubMmWneGg4AAAAAAADAs4eg5RmzcuVKrVy5MtV2fn5+6tq1q7p16yY/Pz+dO3dO/fr1S9ImS5Ys+vHHHxUZGfnYv1DPmjWrVq9erbp16+r48eNav3691q9fn6RNw4YNNXDgQDVq1MjiWE5OTvL399fYsWP1/fff69atW5o3b57mzZtntk/Tpk314YcfJnktS5YsWr16tXx8fLRjxw4FBgYqMDAwWd8yZcpo3bp1cnZ2TvsDp1O7du30zTff6PTp05owYYImTJhgule0aFGFhoaafv/www91/fp1DR8+3BTMPMrBwUHTp09XkyZNUpyvZ8+eWr9+vfz9/RUSEqL27dsnue/p6anff/9dbm5umfJ8meHChQtJzvtJiY2Njfr3768xY8Y8oaqSz//rr78qNjZWc+fOlZ+fn7JkyaLp06cTtgAAAAAAAADPKbYOe87NmjVL8+bNU61ateTi4iIHBwcVLVpUnTp10s6dO/Xxxx8/sVrc3Ny0f/9+ffXVV/L09FS2bNmUK1cuvfHGG5oyZYrWrVsne3v7NI1la2ur4cOH6/Tp0/rpp5/UrFkzeXh4yNnZWfb29ipQoIDq1KmjoUOHKiQkRKtXr1apUqWSjZMnTx5t3bpV8+bNU+PGjVWgQAHZ2dkpb9688vb21qRJk3TgwAHTipLHxdnZ2fT3KFOmjGl7MHO+/PJL7d+/Xz179lSJEiWULVs2Zc+eXWXKlNHHH3+sf/75R507dzbb39bWVsuWLdPkyZNVpUoVZc+eXdmzZ1e5cuU0duxY7d6927Sd2dPM1tZWOXPmVIUKFdS3b1/t27dPEyZMsGqoYWtrKz8/P3Xo0EGS9Ouvv6pPnz4Wt4QDAAAAAAAA8OyyiefbPwB4Zpw7d05FihSRJIWFhcnd3d3KFQEAAAAvNo/Ba6w6f+i3Ta06PwAAz5rH8f0aK1oAAAAAAAAAAAAMImgBAAAAAAAAAAAwiKAFAAAAAAAAAADAoKzWLgDA8+vMmTOKiopKd7/cuXOrcOHCj6EiAAAAAAAAAMhcBC0AHptu3bppy5Yt6e7XpUsXzZ49O/MLAgAAAAAAAIBMxtZhAAAAAAAAAAAABrGiBcBjExgYaO0SAAAAAAAAAOCxImgBAAAAAAAwKPTbptYuAQAAWBlbhwEAAAAAAAAAABhE0AIAAAAAAAAAAGAQQQsAAAAAAAAAAIBBBC0AAAAAAAAAAAAGEbQAAAAAAAAAAAAYRNACAAAAAAAAAABgEEELAAAAAAAAAACAQQQtAAAAAAAAAAAABhG0AAAAAAAAAAAAGETQAgAAAAAAAAAAYBBBCwAAAAAAAAAAgEEELQAAAAAAAAAAAAYRtAAAAAAAAAAAABhE0AIAAAAAAAAAAGAQQQsAAAAAAAAAAIBBBC0AAAAAAAAAAAAGEbQAAAAAAAAAAAAYRNACAAAAAAAAAABgEEELAAAAAAAAAACAQQQtAAAAAAAAAAAABhG0AAAAAAAAAAAAGETQAgAAAAAAAAAAYBBBCwAAAAAAAAAAgEEELQAAAAAAAAAAAAYRtAAAAAAAAAAAABhE0AIAAAAAAAAAAGAQQQsAAAAAAAAAAIBBBC0AAAAAAAAAAAAGEbQAAAAAAAAAAAAYRNACAAAAAAAAAABgEEELAAAAAAAAAACAQQQtAAAAAAAAAAAABhG0AAAAAAAAAAAAGETQAgAAAAAAAAAAYBBBCwAAAAAAAAAAgEEELQAAAAAAAAAAAAYRtAAAAAAAAAAAABhE0AIAAAAAAAAAAGBQVmsXAAAAAAAA8KzyGLzGqvOHftvUqvMDAABWtAAAAAAAAAAAABhG0AIAAAAAAAAAAGAQQQsAAAAAAAAAAIBBBC0AAAAAAAAAAAAGEbQAAAAAAAAAAAAYRNACAAAAAAAAAABgEEELAAAAAAAAAACAQQQtAJ5q3t7esrGxkbe3t7VLAQAAAAAAAIBkCFpgUVxcnPz9/dWnTx+VL19eBQoUkL29vXLkyKHixYurRYsW+vbbb/Xvv/9au9QXxtWrVzVp0iT5+PioRIkSypEjhxwcHFSwYEF5e3tr6NChOnLkiLXLfKqFhobKxsYmzT++vr7WLhkAAAAAAADAUyqrtQvA02vt2rUaOHCg/vnnn2T3Hjx4oFu3bunMmTNatWqVhgwZojp16ujrr79W9erVrVDt8y8uLk7jxo3Tt99+q5s3bya7HxERoYiICG3ZskVff/21GjRooAkTJujVV1+1QrUAAAAAAAAA8GIgaEGKxo0bpyFDhig+Pl6SVKNGDTVv3lwVKlRQ3rx5dffuXUVERGjHjh1as2aNjh8/ri1btmj06NFav369lat//ty9e1ft27eXv7+/JMne3l5t27ZVw4YN5eHhIScnJ0VERCg4OFgrVqzQgQMHtHHjRk2fPl0TJkywau1PuxYtWuirr76y2CZ//vxPqBoAAAAAAAAAzxqCFiQzd+5cDR48WJKUL18+LViwQA0bNkyx7dtvv63x48crICBAQ4YMeZJlvlA+/PBDU8hSpUoVLV68WMWKFUvWrkmTJhoxYoQCAgL0ySefPNkin1G5cuWSp6entcsAAAAAAAAA8IwiaEES58+fV+/evSVJ2bNn19atW1WmTBmLfWxsbOTj46OGDRsqICDgSZT5Qlm5cqX8/PwkSZ6envrzzz/l7OxssU/z5s1Vs2ZNbdu27UmUCAAAAAAAAAAvLFtrF4Cnyw8//KA7d+5Ikr766qtUQ5bEHB0d9c477yR7PSoqSosXL1aPHj302muvKWfOnLKzs5Orq6vq1Kmj8ePH6/bt2xbHfvRQ8j///FPvvPOOihQpIjs7O3l4eCRpf+TIEX311Vdq1KiR3N3d5eDgIGdnZ5UsWVJdunTRrl270vRMV65c0WeffaZSpUopW7ZsKlCggBo0aKAVK1ZIkmbPnm2qLTQ01Ow4MTExmjlzppo0aSI3Nzc5ODgoX758ql27tiZMmKC7d++a7Tt27FjTtZ+fX6ohS4LcuXPLx8cnxXtxcXGaP3++mjRpooIFC8re3l6urq568803NWXKFN2/f9/suL6+vqZnlh5ua/b999+rYsWKcnFxkYuLi6pWrapJkyYpJiYm1TqDgoLUpk0bFSxYUI6OjipWrJh69eql48ePp+k5n6T79+8rICBAffv2VZUqVZQ7d27Z2dkpb968ev311+Xr66srV65Yu0wAAAAAAAAAT5BNfMIhHHjhxcfHK3/+/Lpy5YqcnZ114cIFubi4ZHhcb29vbdmyxWKbYsWKae3atSpdunSK9xO+1B85cqQePHigr7/+Osn9okWLmoKOwMBAvfnmm6nWNXjwYH3zzTdm7x88eFANGjTQ5cuXU7zfq1cvVatWTd26dZMknTlzJlngI0mnTp2Sj4+PQkJCzM5VsmRJrVmzRiVLlkzy+pEjR+Tl5SVJmbZC5dq1a/Lx8dGOHTvMtilTpozWrVunokWLJrvn6+urUaNGSZLCw8PVqFEjHTx4MMVxmjdvLn9/f9nappzp/u9//9Pnn3+uuLi4ZPeyZ8+upUuXaty4cdqyZYvq1KmjwMDANDxh6kJDQ01br3Xp0kWzZ89OU7+uXbtqzpw5FtvkzZtXK1euVI0aNTJaZorOnTunIkWKSJLCwsLk7u7+WOYBAAAAkDYeg9dYdf7Qb5tadX4AAJ41j+P7NbYOg8nRo0dN/xq/Vq1amRKySA9Xc3h5ecnHx0eVK1eWm5ub4uPjdfbsWa1YsUJLlizRmTNn1LJlSx04cECOjo5mx1qxYoUOHTokLy8vDRgwQJ6enrpz544OHDiQZL7s2bOradOmqlu3rkqXLq0cOXLo0qVLOnr0qH766SedPXtW3377rUqVKmUKShKLjIxU48aNTSFLhw4d1LFjR7m6uurkyZOaOHGipk+fbjZgSHDx4kXVqFFDERERcnFxUa9evVS/fn0VKFBAN27c0IYNGzRx4kSdOHFCjRs31r59+5QzZ05T/8QBVbNmzdL6lpsVGxurZs2aKSgoSJJUp04d9e3bV8WKFdOFCxc0a9Ys+fv769ixY6pXr54OHDhgcQXN22+/rWPHjql///5q3ry58uTJo+PHj2vMmDE6duyYAgICNGPGDH3wwQfJ+v7+++8aNGiQJClnzpz64osv5O3tLenhiqXvvvtO7733nlxdXTP83JklJiZGxYsXV6tWrVS1alW99NJLypo1q86ePatNmzZp1qxZunr1qlq1aqUjR44of/781i4ZAAAAAAAAwGPGihaYLFy4UB06dJAkDR06VF999VWmjHvixIlkKzUS27Rpkxo1aqS4uDj9+uuv6t69e7I2CStaJKlevXpas2aNHBwcUhzvypUrypo1q3LlypXi/fv376tZs2bauHGjihYtqlOnTilLlixJ2nz88cf66aefJEnjx4/XwIEDk9yPjY1V69attXLlStNrKa1oad68uVavXq0iRYooMDBQxYsXT1bP/v37VatWLUVFRWnYsGEaM2aM6V6vXr00Y8YMSdKGDRvUoEGDFJ8prSZPnqy+fftKkjp37mza+iyxoUOHmlYMff755xo3blyS+4lXtNjZ2WnDhg2mgCTBtWvX9OqrryoiIkLlypVLFkjdv39fHh4eunjxonLmzKmgoKBk29QdOXJENWrU0M2bNyXpsa1oadGihcXPeu7cuVW4cGFJD1cnFS9ePNl7luDw4cOqXr26bt++nexvmVbnzp2zeP/ixYuqWrWqJFa0AAAAAE8DVrQAAPBseRwrWjijBSaJz5ZIbRXB0aNHdeTIkRR/oqKikrS1FLJIUv369U1nifj7+1tsa2trq19//dVsyCJJ+fLlMxuySJK9vb2+//57SdLZs2eTrIaRHp45krA9VMWKFfXpp58mGyNLliyaNm2axdU3R44c0erVqyVJkyZNSjFkkaQKFSroo48+kiTNmjUryb3Ef5MCBQqYnSutJk+eLOnhezRp0qQUA4PRo0ebtnCbMWOG7t27Z3a8fv36JQtZJClPnjymlUKHDh3SjRs3ktz39/fXxYsXJUnDhw9P8SwgT09PDR06NG0PlgErV66Ul5eX2Z/ENZQoUcJsyCJJXl5e6tGjh6TUP8vmFClSxOJPQsgCAAAAAAAA4OlA0AKTW7duma5TO3C9fPnyZr+Y3rNnj8W+ly9f1okTJ5KEMwnBTmpbcdWoUSPFc1AsuXfvnv777z+FhISY5ku8kOvROffu3WsKBjp37mz2i/UCBQqoUaNGZudNWO3i5OSkpk0t/wuj2rVrS5IuXLigsLAw0+uJ/ybZs2e3OEZqLly4oGPHjkmS2rZta3ZruCxZsphCksjISO3bt8/smAkroFJSqVIl0/WZM2eS3Nu0aZOkhyuVunTpYnaMbt26WQw2rC0yMlKnTp1KEjwmhHwhISF68OCBdQsEAAAAAAAA8NhxRgtMEn/x/uiqlIzasWOHfvrpJ23atEnXrl0z2y7xCo6UlCtXLk3zRUVF6aefftJvv/2mo0ePKjY2Ns1zHjlyxHSdOCxISeXKlZNsH5ZYcHCwJCk6OlpZs6b9P7Xw8HDT0rXM/Jskfq7XX3/dYtvE948cOaJq1aql2C5h5UtK8uTJY7pOHBhJD7fYkqRixYopX758ZsdwdXWVh4dHsqAmM3Xp0kWzZ89Oc/vDhw/rxx9/1Lp16xQeHm62XVxcnCIjI9N9TkvioC0libcOAwAAAAAAAGB9BC0wyZs3r+k64RB4c2JiYpL8nvjcjkdZuveoO3fuWLyfO3fuVMcIDQ1V3bp10/zl/KNzRkZGmq5T+5Lc0hZrly5dStP8j4qOjjZdJw4hIiIiDI2XIHHAldo2ZAULFkyx36OcnJzM3rO1/b8Fc48GXQnvcVpCiAIFCjzWoCU9Zs6cqd69eyf7/JuT2uc5JZy5AgAAAAAAADxbCFpgUr58edO1pe2i0mPz5s2mkKV48eIaNGiQatasqZdeeknOzs6mQ+hHjBiRpoPDHz20PiWdOnXSmTNnZGNjo27duqldu3YqU6aMXF1dTWe7xMXFmcZKvI1YZkoIF4oVK6ZVq1aluV/CIe1S8r9JgwYNMqW21LbjelzvyaPjp2VbsMddS1r9888/ppAlf/78+uyzz1S3bl15eHjIxcVFdnZ2kh6es9O9e3dJT0/tAAAAAAAAAB4fghaYlC1bVnnz5tXVq1e1bds2RUVFZfhckBkzZkiScuXKpaCgILMrGBKvIsmIf/75R9u3b5ckDRkyRGPHjk33fIlXzVy6dEmlSpUy29bSyp+EFUIREREqXbp0urYPS1CnTh3T9Zo1a/TFF1+ke4wEibfysrTllZR09UzifpklYcy0rNIxujIos82ePVsxMTHKkiWLAgMDVaZMmRTbZdZnGQAAAAAAAMCzwTb1JnhR2NjYqHPnzpIenqmRnnMrzDl69KgkqW7duha3iUo4zySz5pOkdu3aGZqvbNmyaa7L0v0KFSpIergV2I4dOyyOY46np6cqV64sSdq2bZv27t1raJyEsRLs3r3bYtu///47xX6ZxcvLS5J05swZXb161Wy7y5cvKzQ0NNPnNyLhs1W+fHmzIYuUeZ9lAAAAAAAAAM8GghYk8emnnypbtmySpC+//FInT57M0HgJZ1kkPnfkUQcOHNCuXbsyNM+j86U25y+//GL2XuXKlZUzZ05J0rx588xu/xQREaE//vjD7DgtWrQwXX/33Xdm26Xmyy+/NF2///77ioqKSlO/69evKyAgwPS7m5ubKSBYunRpsgPqE8TGxppCtty5c6tixYoGKzevfv36kh5urTV37lyz7WbPnv3UbL+Vls9yeHi4Vq5c+aRKAgAAAAAAAPAUIGhBEu7u7po8ebIk6ebNm6pVq5YCAwNT7Wduu6SSJUtKkrZv367Tp08nu3/58mV17NjReMFm5pOkOXPmpNhm6tSp8vf3NzuGo6OjaWXPvn379MMPPyRrExcXpw8++EB37941O06VKlXUsGFDSdLatWs1cuRIi7WHhoZq0aJFyV5v1aqVunTpIkk6dOiQ6tWrp7Nnz1oca+3atapcubI2b96c5PWPPvpI0sP3vV+/fimGGKNGjVJISIgkqWfPnqZzbTJTy5YtVahQIUnSmDFjdPz48WRtQkJCzG79Zg0Jn61///03xWAwOjpa7733nu7cufOkSwMAAAAAAABgRZzRgmS6deum8+fPa8SIEQoPD9ebb76p2rVry8fHR+XKlVPevHkVHx+vS5cu6eDBg1qxYkWSraYSVsRIUufOnRUQEKDbt2+rTp06+uKLL1SpUiXFx8dr586d+uGHHxQeHq5q1aopKCgow7VXqFBBnp6eOnLkiKZOnarr16+rQ4cOKlSokMLCwjR//nwtW7ZMNWrUsLidl6+vr5YuXarw8HANGjRI+/fvV6dOneTq6qqTJ09q4sSJ2rlzp6pWrWp69pQOdvfz81PlypV18eJFjR49Wn/88Yfef/99eXl5ydHRUVevXtWhQ4e0fv16/fnnn2rZsqXat2+fbJwpU6bo2rVrCggI0O7du/XKK6+obdu2atSokTw8PJQtWzZFRERo3759WrFihdktxnr37q0FCxYoKChIc+bM0dmzZ/XRRx+pePHiunjxombNmqXly5dLkkqUKKHhw4cb+TOkyt7eXj///LPatGmjyMhIvfHGG/riiy/k7e2t+Ph4BQYGaty4cZIeBhwnTpx4LHWkR6dOnfTzzz8rLi5OTZo00eeff67q1avL0dFRe/fu1Y8//qgTJ06k+tkCAAAAAAAA8HwhaEGKhg0bpvLly2vgwIE6ceKEtm7dqq1bt1rsU6NGDY0bN06vv/666bU2bdqoW7du8vPz07lz59SvX78kfbJkyaIff/xRkZGRmRK02NjYaN68eapbt64iIyO1aNGiZKtEvLy8tHTpUrm5uZkdJ0+ePFq/fr0aNGigy5cva8GCBVqwYEGSNl27dlWtWrVMQYujo2Oycdzc3BQUFKR33nlHe/bs0e7duy2ej5IjR44UX3dycpK/v7/Gjh2r77//Xrdu3dK8efM0b948s2M1bdpUH374YZLXsmTJotWrV8vHx0c7duxQYGBgiiuWypQpo3Xr1snZ2dns+BnVunVrff/99/riiy90/fp1DRkyJMl9JycnLV26VN99991TEbRUqVJFo0aN0siRIxUZGZmsXkkaOHCgPD09CVoAAAAAAACAFwhbh8Gs5s2b69ixY1q+fLl69eolLy8vubq6KmvWrHJxcVHRokXVpEkT+fr66ujRo9q+fbtq1KiRbJxZs2Zp3rx5qlWrllxcXOTg4KCiRYuqU6dO2rlzpz7++ONMrfu1117TgQMH1Lt3bxUtWlR2dnbKkyePqlatqvHjx+vvv/82bVtlSfny5RUSEqKBAweqZMmScnBwUL58+fTmm29q4cKF8vPz082bN03tE851eVTRokW1e/durVixQu3atVOxYsXk5OQkOzs7ubq6qnr16ho4cKC2bNmimTNnmq3H1tZWw4cP1+nTp/XTTz+pWbNm8vDwkLOzs+zt7VWgQAHVqVNHQ4cOVUhIiFavXq1SpUolGydPnjzaunWr5s2bp8aNG6tAgQKys7NT3rx55e3trUmTJunAgQMqWrRoGt7tjBk0aJC2bdumt99+W/nz5zd9Nt5//30FBwerSZMmj72G9BgxYoTWrFmjhg0bKnfu3LK3t5e7u7vefvttbdiwQePHj7d2iQAAAAAAAACeMJv4p+WkaeAZ1KNHD82cOVPu7u4KCwuzdjl4AZw7d05FihSRJIWFhcnd3d3KFQEAAAAvNo/Ba6w6f+i3Ta06PwAAz5rH8f0aK1oAg+7cuaOVK1dKkt544w0rVwMAAAAAAAAAsAaCFsCMU6dOydyCr9jYWPXp00dXrlyRJHXp0uVJlgYAAAAAAAAAeEpktXYBwNNqzJgx+vvvv9WuXTu9/vrryp8/v+7cuaNDhw5pxowZ2rdvnySpXr16atqUpdoAAAAAAAAA8CIiaAEsOHbsmEaOHGn2fo0aNbR48WLZ2Ng8wapw5MgRQ/3c3d2VK1euzC0GAAAAAAAAwAuNoAUwY8iQISpVqpQ2btyos2fP6vLly3rw4IHy5s2rypUr691331W7du1ka8sOfE+al5eXoX5+fn7q2rVr5hYDAAAAAAAA4IVG0AKY8corr+jLL7/Ul19+ae1SAAAAAAAAAABPKYIWAM+c+Ph4a5cAAAAAAAAAAJIIWgAAAAAAAAwL/baptUsAAABWxuESAAAAAAAAAAAABhG0AAAAAAAAAAAAGETQAgAAAAAAAAAAYBBBCwAAAAAAAAAAgEEELQAAAAAAAAAAAAYRtAAAAAAAAAAAABhE0AIAAAAAAAAAAGAQQQsAAAAAAAAAAIBBBC0AAAAAAAAAAAAGEbQAAAAAAAAAAAAYRNACAAAAAAAAAABgEEELAAAAAAAAAACAQQQtAAAAAAAAAAAABhG0AAAAAAAAAAAAGETQAgAAAAAAAAAAYBBBCwAAAAAAAAAAgEEELQAAAAAAAAAAAAYRtAAAAAAAAAAAABhE0AIAAAAAAAAAAGAQQQsAAAAAAAAAAIBBBC0AAAAAAAAAAAAGEbQAAAAAAAAAAAAYRNACAAAAAAAAAABgEEELAAAAAAAAAACAQQQtAAAAAAAAAAAABhG0AAAAAAAAAAAAGETQAgAAAAAAAAAAYBBBCwAAAAAAAAAAgEEELQAAAAAAAAAAAAYRtAAAAAAAAAAAABhE0AIAAAAAAAAAAGAQQQsAAAAAAAAAAIBBBC0AAAAAAAAAAAAGEbQAAAAAAAAAAAAYRNACAAAAAAAAAABgEEELAAAAAAAAAACAQQQtAAAAAAAAAAAABhG0AAAAAAAAAAAAGJTV2gUAAAAAAAA8KzwGr7F2CUmEftvU2iUAAPDCY0ULAAAAAAAAAACAQQQtAAAAAAAAAAAABhG0AAAAAAAAAAAAGETQAgAAAAAAAAAAYBBBCwAAAAAAAAAAgEEELQAAAAAAAAAAAAYRtAAAAAAAAAAAABhE0AIgXTw8PGRjY6OuXbs+1nlCQ0NlY2MjGxsbzZ49+7HOBQAAAAAAAABGEbTgufLgwQP99ttv6tKli8qUKaO8efPKzs5O+fLlU6VKldSnTx9t2rRJcXFx1i71hXHnzh3lzJnTFJqMHj3a2iWlS0KwZGNjIxcXF12+fNli+8DAQAIiAAAAAAAA4AVC0ILnxsqVK1W6dGm1b99ec+fO1T///KNr164pJiZGV69e1b59+/TLL7+oQYMGKlOmjNasWWPtklOU+Iv6wMBAa5eTYStWrNDNmzdNv8+bN8+K1WTM7du39d1331m7DAAAAAAAAABPEYIWPBe++eYbtWrVSqdPn5Yk1a9fXz///LM2b96svXv3auPGjZo0aZIaNWokW1tb/fvvvxo6dKiVq34xzJ07V5Lk7OwsSTp58qR27tyZaj8PDw/Fx8crPj7+sW9Tlh6TJ09WeHi4tcsAAAAAAAAA8JQgaMEzb968efryyy8VHx8vV1dX/fnnn9q4caP69u2runXrqmLFiqpfv74++ugjrV+/XgcOHFDdunWtXfYL4eLFi9q0aZMkacSIEcqbN6+k/wtfniX58uWT9HArtG+++cbK1QAAAAAAAAB4WhC04Jl24cIF9enTR5Lk5OSkwMBAvfnmmxb7eHl5aePGjRo0aNCTKPGFNn/+fMXGxipLlizq1KmT2rZtK0lasmSJ7t27Z+Xq0qds2bJq0qSJJGnatGk6f/68lSsCAAAAAAAA8DQgaMEz7ccff1RUVJQkadSoUXr11VfT1M/W1lYdO3ZM8V5kZKS++uorVatWTfny5ZODg4Pc3NzUokULLV++3OK4CWer+Pr6SpL27Nmj9u3by93dXQ4ODipcuLA6deqkY8eOJesbGhoqGxubJEHRm2++aRozpQPWfX19Ta9L0o0bNzRmzBhVqFBBuXLlStY+KipKixcvVo8ePfTaa68pZ86csrOzk6urq+rUqaPx48fr9u3baXoP0yLhPJZ69eqpYMGCpvc8MjJSAQEBFvsmvB/mDpVP77NnhtGjR0uS7t27p7Fjx2bq2AAAAAAAAACeTVmtXQBgVHx8vObMmSNJyp49u3r16pXhMdeuXasOHTro+vXrSV6/ePGiVq1apVWrVqlp06b67bffTGeOmDNp0iQNGDBAMTExptcuXLig+fPna/ny5Vq3bp1q166d4ZoTnDhxQg0bNlRoaKjZNk2bNtWWLVuSvX7lyhVt3bpVW7du1ZQpU7R27VqVLl06Q/Xs379fhw8fliRTwFK9enUVL15cp0+f1ty5c9WmTZsMzZEgLc+eGSpVqqQWLVpo5cqVmjlzpr744gsVLVr0sc4JAAAAAAAA4OlG0IJnVkhIiC5fvixJqlWrlnLkyJGh8TZu3CgfHx/FxsbKw8NDffr00euvv64cOXLo/PnzWrx4sebPn681a9aoS5cu+v33382O9ccff2j37t0qV66cPv74Y3l5eenOnTtasWKFJk6cqOjoaHXq1EknTpyQvb29JKlw4cI6fPiw9uzZo/fff1+SNGvWLFWpUiXJ2O7u7inO2aZNG50/f179+vWTj4+PcufOrRMnTiQJAmJiYuTl5SUfHx9VrlxZbm5uio+P19mzZ7VixQotWbJEZ86cUcuWLXXgwAE5Ojoafj8TQjAnJye1atXK9HqHDh00ZswYrV+/XpcvX5arq6vhORKk5dkzy+jRo7Vq1Srdv39fY8aM0a+//prpcwAAAAAAAAB4dhC04Jl18OBB03XFihUzNFZUVJQ6deqk2NhYNWzYUCtWrJCTk5PpfoUKFdSsWTPVrl1bvXr10vLly7V582bVq1cvxfF27dqlJk2aaMWKFaYgRXoYCOXNm1fDhg3Tf//9pzVr1phCCDs7O3l6eurKlSum9sWKFZOnp2eanuHIkSNav369GjRoYHqtUqVKSdr4+fmpZMmSyfq+/vrratu2rbp3765GjRrp+PHjWrBggbp3756muR8VExOjRYsWSZJatmyZZPVPx44dNWbMGD148ECLFi1S//79Dc2RWFqePbOUK1dObdq00dKlSzVnzhwNGTJEJUqUyLTxz507Z/H+xYsXM20uAAAAAAAAABnHGS14ZiUOJAoUKJChsfz8/BQRESFHR0fNmzcvSciSWM+ePVW1alVTH3McHR3l5+eXJGRJ0L9/f9Pr27Zty1DdiXXt2jVJ0JCSlEKWxOrXry8fHx9Jkr+/v+Fa1q9fr0uXLklSsrNwSpUqZVqlM3fuXMNzJJaWZ89Mvr6+srW1VUxMjOnclsxSpEgRiz8Jnz8AAAAAAAAATweCFjyzbt26ZbrOnj17hsZauXKlJKlOnTrKnz+/xbYJ56oEBQWZbdOgQQOz47i4uJgCj9OnTxspN0UdOnRId5/Lly/rxIkTOnLkiOknYSuvxCuG0ishQMmfP3+KAUhC+LJ3714dO3bM8DwJjDx7Rrz66qtq166dJGnBggU6fvz4E50fAAAAAAAAwNODrcPwzHJxcTFdR0VFZWis4OBgSQ/PVrGxsUlTn/DwcLP3UjtIPk+ePJKShkUZVa5cuTS127Fjh3766Sdt2rRJ165dM9su8Yqh9Lh+/bpWrVolSWrXrp2yZk3+v5l27dpp4MCBiomJ0dy5c/XNN98YmitBWp89M40cOVKLFy9WbGysfH19TVulZVRYWJjF+xcvXmRVCwAAAAAAAPAUYUULnln58uUzXUdERBge58GDB7p+/Xq6+0VHR5u9Z27rsQS2tg//04uNjU33vObkzp071Ta+vr6qWbOmlixZYjFkkaQ7d+4YqmPx4sW6d++epOTbhiVIvNJl/vz5iouLMzRXgrQ8e2YrVaqUOnXqJElasmSJjh49minjuru7W/wpVKhQpswDAAAAAAAAIHOwogXPrPLly5uu9+3bZ3icxGFH27ZtNXz48AzVZS1ZsmSxeH/z5s0aNWqUJKl48eIaNGiQatasqZdeeknOzs6m/iNGjNCYMWMM15H43JW0rLw4d+6c/vrrL9WrV8/wnKk9++MyYsQILViwQA8ePNDIkSO1bNkyq9QBAAAAAAAAwHoIWvDMevXVV5UvXz5duXJF27Zt082bN5UjR450j+Po6CgnJydFR0fr+vXr8vT0fAzVWt+MGTMkSbly5VJQUJDZM2QiIyMNz3Hy5Ent3Lkz3f3mzp2boaDFWooVK6auXbtqxowZWr58uQ4cOGDtkgAAAAAAAAA8YWwdhmeWjY2NunbtKunhGS2//vqr4bEqVKgg6eH5JZa2BHsS0npGTHolbG1Vt25dsyGL9H/n1RiReDXL1KlTtWjRIos/jRs3liQtX748w+fsWMuwYcNkb2+v+Ph4jRw50trlAAAAAAAAAHjCWNGCZ9onn3yiKVOmKDo6WiNGjFCTJk1SPYhekuLi4rRw4ULTGSI+Pj7asWOHoqKiNHnyZH322WePu3SzHB0dTdcJZ51khpiYGEmWz5Y5cOCAdu3aZWj8+Ph4zZ8/X5Lk6emp3r17p9rH2dlZ69ev1+3bt7V8+XLTmSfPkpdeekk9e/bU5MmTtWrVKtWsWdPaJQEAAAAAAAB4gljRgmda4cKFNWnSJEkPV7XUqVNHW7ZssdgnJCREjRo10vjx402v9e7dW/ny5ZMkDR8+XOvWrbM4xo4dO7R169YMVp+yxIednzp1KtPGLVmypCRp+/btOn36dLL7ly9fNnt4fVps27ZNZ86ckSS1adMmTX0aNmxo2u4t8WqYZ82XX35pCsi+++47K1cDAAAAAAAA4EkiaMEzr1u3bho9erQk6dKlS/L29lajRo00ZcoU/fXXX9q/f782b96sqVOnqlmzZipXrpw2bdqUZIwcOXJo0aJFypo1q+7du6dmzZqpbdu2Wrx4sYKDgxUcHKyAgAD5+vqqfPnyqlmzpg4dOvRYnuell16Su7u7JGn8+PFauXKl/vnnH508eVInT57UrVu3DI3buXNnSdLt27dVp04dTZo0SUFBQdq5c6fGjx+v8uXLKyQkRNWqVTM0/pw5c0zXrVu3TlMfe3t7NWvWTJL0559/6vz584bmtjY3NzfTCp4rV65YuRoAAAAAAAAATxJbh+G5MHz4cJUtW1YDBw5UaGioNmzYoA0bNphtX7Zs2WQrD+rXr68//vhDHTp0UHh4uJYuXaqlS5eaHSNhJcbj8OWXX+rDDz/UmTNn1LJlyyT3/Pz8TGfTpEebNm3UrVs3+fn56dy5c+rXr1+S+1myZNGPP/6oyMhIBQUFpWvsO3fuaNmyZZKkV155RZ6enumqa+HChYqLi9P8+fP1xRdfpGvup8XgwYM1ffp0q5/xAwAAAAAAAODJYkULnhtvv/22jh8/rgULFqhjx4565ZVXlDt3bmXNmlV58uRRxYoV9eGHH2rz5s06fPiwGjZsmGyMunXr6tSpU5o0aZIaN26sQoUKyd7eXo6OjipSpIgaNmyosWPH6p9//jGtEHkc+vTpo99//10NGzZU/vz5lTVr5mSis2bN0rx581SrVi25uLjIwcFBRYsWVadOnbRz5059/PHHhsb19/fXzZs3JaV9NUuCxo0bK3v27JKkefPmGZr/aVCgQAH17dvX2mUAAAAAAAAAeMJs4uPj461dBAAgbc6dO6ciRYpIksLCwkzbzAEAAAB4MjwGr7F2CUmEftvU2iUAAPBMeRzfr7GiBQAAAAAAAAAAwCCCFgAAAAAAAAAAAIMIWgAAAAAAAAAAAAzKnBO2AeApdObMGUVFRaW7X+7cuVW4cOHHUBEAAAAAAACA5w1BC4DnVrdu3bRly5Z09+vSpYtmz56d+QUBAAAAAAAAeO6wdRgAAAAAAAAAAIBBrGgB8NwKDAy0dgkAAAAAAAAAnnMELQAAAAAAAGkU+m1Ta5cAAACeMmwdBgAAAAAAAAAAYBBBCwAAAAAAAAAAgEEELQAAAAAAAAAAAAYRtAAAAAAAAAAAABhE0AIAAAAAAAAAAGAQQQsAAAAAAAAAAIBBBC0AAAAAAAAAAAAGEbQAAAAAAAAAAAAYRNACAAAAAAAAAABgEEELAAAAAAAAAACAQQQtAAAAAAAAAAAABhG0AAAAAAAAAAAAGETQAgAAAAAAAAAAYBBBCwAAAAAAAAAAgEEELQAAAAAAAAAAAAYRtAAAAAAAAAAAABhE0AIAAAAAAAAAAGAQQQsAAAAAAAAAAIBBBC0AAAAAAAAAAAAGEbQAAAAAAAAAAAAYRNACAAAAAAAAAABgEEELAAAAAAAAAACAQQQtAAAAAAAAAAAABhG0AAAAAAAAAAAAGETQAgAAAAAAAAAAYBBBCwAAAAAAAAAAgEEELQAAAAAAAAAAAAYRtAAAAAAAAAAAABhE0AIAAAAAAAAAAGAQQQsAAAAAAAAAAIBBBC0AAAAAAAAAAAAGEbQAAAAAAAAAAAAYRNACAAAAAAAAAABgEEELAAAAAAAAAACAQQQtAAAAAAAAAAAABhG0AAAAAAAAAAAAGETQAgAAAAAAAAAAYBBBCwAAAAAAAAAAgEFZrV0AAAAAAADA085j8Bprl5Ci0G+bWrsEAABeeKxoAQAAAAAAAAAAMIigBQAAAAAAAAAAwCCCFgAAAAAAAAAAAIMIWgAAAAAAAAAAAAwiaAEAAAAAAAAAADCIoAUAAAAAAAAAAMAgghYAAAAAAAAAAACDCFqA51xgYKBsbGxkY2OjwMBAa5cDAAAAAAAAAM8VghY8MYm/8LexsZGLi4uio6NT7Xfnzh3lzJkzSV9zgUFUVJSmT5+upk2byt3dXY6OjnJ2dlbx4sVVrVo19e7dW7/99psuXryYrK+3t3eSOdL7ExoamsF3CEY9+tlK/JMtWza5u7vrrbfe0pQpU3T79u1Ux/Pw8Egyxrx589JUR8+ePZP069q1awafDAAAAAAAAMDTjqAFVnP79m35+/un2m7lypW6efNmqu3+/vtveXp66oMPPtDatWt1/vx53bt3T1FRUTpz5ox27dqladOmqX379qpQoUImPEFSNjY2mT4mMu7u3bs6f/681q9fr48++kienp46ePBgusZIS9By7949LV261GiZAAAAAAAAAJ5RWa1dAF5Mjo6Ounv3rubNm6f33nvPYtuEL7kT+qTk5MmTatCggSmQ8fHxUZs2bVSqVCnZ29vrypUrOnjwoDZu3Ki//vorxTH8/PwUFRWV5mcYPXq06Yv1xo0b66WXXkpz3yfJ29tb8fHx1i7jienTp48+/PBD0+9XrlzR8ePH9cMPP+jff//V2bNn9dZbb+n48eNycXGxOFbCZ27z5s26cOGC3NzczLZdtWqVbty4YfFzCgAAAAAAAOD5Q9ACq/Dx8dGSJUu0ceNGhYeHq2DBgim2u3TpkjZs2CBJatGihRYvXpxiu6FDh5pCllmzZqlbt27J2jRo0ECDBg3S5cuXtWTJkmT3ixUrlub6V69erWXLlkmSihQpovnz57Oi5SmRP39+eXp6JnnN29tb3bp101tvvaU///xTFy9e1PTp0zVw4ECLY1WuXFmnT5/WhQsXtHDhQg0aNMhs24RA0NLnFAAAAAAAAMDzh63DYBUNGzZUwYIFFRsbq0WLFpltt2jRIsXExKhAgQJq0KBBim1iY2O1evVqSQ+/GE8pZEnM1dVVH330keHaz549q86dOys+Pl52dnZavHix8ubNa3g8PBn29vby9fU1/b5x48ZU+2TJksW04srS9mFXrlzR+vXrJUmdOnXKWKEAAAAAAAAAnikELbCKLFmyqH379pIsf4E9d+5cSdJ7772nLFmypNjm8uXLio6OliS9/PLLmVxpUvfv39c777yjyMhISdK3336ratWqWewTGhqqAQMGqGzZsnJxcZGTk5NKliypDz74QIcPH7bYN+FQ9YSAYM+ePWrfvr3c3d3l4OCgwoULq1OnTjp27JjZMRIfFB8YGJjsfteuXWVjYyMPDw9J0vXr1zVixAiVLVtW2bNnV65cuVS7dm0tWLDAYq0JVq1apUaNGilfvnxycnJSqVKl9Nlnnyk8PFzS/x00b42D4itWrGi6DgsLS1OfhODk0KFDOnToUIptFi1apAcPHsjV1VWNGjXKeKEAAAAAAAAAnhkELbCahC+w9+/fr6NHjya7HxISon379iVpmxJ7e3vTtaXAITN8+umn2rNnjySpZcuW+vTTTy22nzt3rkqXLq0JEyYoJCREt2/f1p07d3Ty5ElNnz5dFSpU0DfffJOmuSdNmqTq1avrt99+0/nz53X//n1duHBB8+fPV+XKlbV169YMP98///yjChUqaMyYMQoJCVF0dLRu3Lihbdu2qWPHjurbt6/ZvvHx8erdu7datGihDRs26OrVq7pz545OnDih8ePHq0KFCtq/f3+Ga8yIxGFd1qxp2zmxXLlyKleunCTzoWDC6+3bt0/zuAAAAAAAAACeDwQtsJoKFSqYztJI6QvshNfKli2rChUqmB0nT548Klq0qCTp4MGDGjdunOLi4jK93sWLF2vy5MmSHp7n4ufnZ7H9mjVr1LVrV927d0/Ozs4aOXKktm3bpqCgIP3vf/9Tvnz5FBsbqy+//FJTp061ONYff/yh/v37q2zZspo1a5b27NmjrVu3asCAAbK1tVV0dLQ6deqk+/fvG36+6Oho+fj46OrVqxo2bJgCAwMVHBysGTNmyN3dXZI0efJk/fHHHyn2//bbbzVt2jRJkru7uyZNmqTdu3dr69atGjp0qG7cuKE2bdqYVh9ZQ0hIiOk6YQVPWiQEfQsXLkz22Tp+/LgpfGPbMAAAAAAAAODFwz+9hlV16tRJX3zxhRYsWKCvv/5atrYPs7/4+HjTVlVp+fK6X79+poPKBw8erKlTp6p58+aqVq2aXn/9dZUoUSJDdR4/flw9e/aUJDk4OGjp0qXKlSuX2fYPHjzQBx98oPj4eDk7O2vbtm167bXXTPffeOMNtW7dWtWqVdPFixc1aNAgvfPOO8qXL1+K4+3atUtNmjTRihUrkqzgqVWrlvLmzathw4bpv//+05o1a9SqVStDz3j58mU9ePBAQUFBKlu2rOn1SpUqydvbW15eXrp7966mTJmSbHusixcvavTo0ZKk4sWLKygoSPnz509SZ5MmTfTmm29mKAzKqPHjx5uu27Rpk+Z+HTp00ODBg3XhwgVt3rw5yXlBCYFg6dKlVbly5QzXeO7cOYv3L168mOE5AAAAAAAAAGQeVrTAqjp06CBbW1udO3dOW7ZsMb0eGBiosLAw2draqkOHDqmOM2DAAL3//vum38+ePatJkyapQ4cOevnll1WwYEG1a9dOAQEBio+PT1eN0dHRatOmjW7duiVJ+uGHH1SpUiWLfVasWKHz589LkoYOHZokZElQtGhRff/996Y5LK2QcXR0lJ+fX5KQJUH//v1Nr2/bti1Nz2TO6NGjk4QsCV5++WW1bNnS7Bxz5szR3bt3JUk//vhjkpAlQfXq1fXRRx9lqD4jrl69qu3bt6tJkyZatGiRJKlatWpq165dmscoVKiQ6tWrJ0maP3++6fX0BoJpUaRIEYs/VatWzZR5AAAAAAAAAGQOghZYVeHChfXmm29KSrp9WMK1t7e3adsqS2xtbTVz5kytW7dODRo0MK2MSRAREaHFixfLx8dHVatW1alTp9Jc44cffqgjR45Ikt599119+OGHqfbZtGmTpIeH2ScOgB71zjvvKGfOnEn6pKRBgwYphheS5OLiopIlS0qSTp8+nWpt5tjY2Oi9994zez8hXIqMjNT169eT3Nu8ebMkKW/evGratKnZMTp37my4vrQaNWqUbGxsTD/58uVTrVq1tG7dOmXNmlUdO3bU+vXrZWdnl65xE4KU5cuXKyoqStLD0Ck0NFQ2NjZpCgQBAAAAAAAAPH8IWmB1CV++L1u2THfu3NGdO3f0+++/S0r/KoHGjRtrw4YNunLligICAjRy5Eg1a9bMFGZIUnBwsGrVqpWmLZhmzpypOXPmSJJKlSqlGTNmpKmOhGDGw8PDbEAiSfb29qbzZxL6pKR06dIW58uTJ48kmVbdGJEvXz7lzZs31TlSmieh9tdeey3JgfOP8vLykoODg+EaM6pUqVL6/PPPlSNHjnT3ffvtt+Xs7Kzbt2/L399fkjR37lxJUu3atU3nBGVUWFiYxZ+///47U+YBAAAAAAAAkDkIWmB1b7/9tpycnHTr1i2tXLlS/v7+unnzprJly6bWrVsbGjN37txq1qyZfH19FRAQoIiICM2aNUu5c+eW9PCci+HDh1sc4+DBg+rbt68kKVu2bFq2bJlcXFzSNP+1a9ckSQUKFEi1bcGCBZP0SYmTk5PFMRJW8MTGxqapvozMkdI8kZGRkmQxVJKkLFmymP4Gj0ufPn10+PBhHT58WPv379eaNWv0wQcfyM7OTiEhIfL29tbx48fTPa6Tk5PefvttSQ9XXN29e1fLli2TlHnbhkmSu7u7xZ9ChQpl2lwAAAAAAAAAMo6gBVbn7OxsOsB93rx5pm3DWrZsmeZgIzUODg7q1q2b6YwO6eEWUHFxcSm2v3nzpt555x3TuSOTJk2Sl5dXuue1sbFJtU16z4yBZfnz55enp6c8PT312muvqUmTJvp/7N1ndFRV28bxayCN3lsACSgIAg+EjlJCb6EXkZqoNFEfmo8ISBGUqCiigIA06R3pXYKAQAgEDCJNCFJCryFA6vsha86bkMkkOaQA/n9rzVqTOXvvc5+TgQ/nyt572rRpWr16tTJkyKBbt26pS5cupkIpa6Cyfft2TZ8+XXfv3pWLi4s6dOiQ0pcBAAAAAAAA4DlB0IJngnX5sK1bt2rbtm2SUnaWgFWTJk1UtGhRSTGzMG7evGmz3TvvvKPTp09Lkry8vOzus2KLdZmtK1euJNr26tWrcfo8j6yzVK5du2a3XWRkpDH7Ja21aNFCffv2lSQdPnxYc+fOTfYY9evXV+HChRUZGamhQ4dKklq1ahVnaToAAAAAAAAA/y4ELXgmNGjQQIUKFVJERIQiIiJUoEABNW7cOFXO5erqaryPvRyW1aRJk4wlocqVK6cpU6Yk+xzlypWTJAUFBdkNH8LDwxUQEBCnz/OobNmykqQjR47YnSkSGBiox48fp1VZ8YwaNUpZsmSRJI0ZM0ZhYWHJ6p8hQwZj03vrbKfUCAQBAAAAAAAAPD8IWvBMyJgxo7p37y5nZ2c5OzurW7dudjdVNys0NFTHjx+XJGXPnj3eLJL9+/fro48+khSzpNmKFSsS3bvEloYNG0qKWRZs9uzZCbZbsWKF7t69G6fP86hBgwaSpJs3b2rDhg0JtrNuHp9e8ufPrz59+kiK2XT+559/TvYYsb+nhQsXVtOmTVO6TAAAAAAAAADPEYIWPDO+/PJLPXr0SI8ePdKECROS3C8kJETVq1fX+vXrE9xzRZKioqL0wQcf6P79+5JilnyKvYfKzZs31alTJ4WHh0uSZsyYoVdffdXUtbRt29aYOfPFF1/o6NGj8dpcuHBBQ4YMkRSz0bq3t7epcz0LevbsKWdnZ0nSwIEDdf369Xht9u3bZ2p2UEr76KOP5OLiIkny8fFJ9l4t5cqVM76nFy9elIODQ2qUCQAAAAAAAOA5wRNCvBD8/PzUsmVLFS5cWG3atFHNmjVVrFgxZcuWTXfu3FFAQIBmz56twMBASVKOHDk0duxYo390dLS6d++uCxcuSJKaNm2q8uXL69ixY0muoUiRIsqZM6ckydHRUTNmzFDLli11//591apVSx999JEaNGggBwcH/f777/Lx8TGWFZswYYLy5s2bQncj7bm6umrUqFEaNmyYzp49q8qVK2vo0KGqWrWqHj9+rC1btuibb76Rq6urHjx4oOvXr8cJudJSwYIF9c4772jKlCk6e/asFi1axPJfAAAAAAAAAEwjaMFzz8HBQQULFtSVK1d06dIlTZkyxe7MiZIlS2rx4sVyc3MzPvvnn3+0adMm4+fNmzdr8+bNyapjzpw58vLyMn5u0aKF5syZoz59+igkJESjRo3SqFGj4vTJmDGjxo4dq379+iXrXM+ioUOH6vz585o+fbouXLig/v37xzmeN29eLV++XO3atZMkY1ZJevj444/1008/KSwsTF988YW6du1qc78eAAAAAAAAAEgMTxbx3HNxcdGlS5e0d+9ejRkzRs2aNVOJEiWUJUsWZcyYUdmzZ1fp0qX15ptvatGiRTp27JgqV64cZ4zo6OhUqa1nz546ceKE/vvf/6pMmTLKkiWLMmXKpJdfflm9evVSQECAPvnkk1Q5d1qzWCyaNm2a1qxZo8aNGyt37txycXHRK6+8og8//FABAQGqUqWK7t27JylmVlF6KVq0qHr27ClJOnHihFauXJlutQAAAAAAAAB4vlmiU+sJMwA84eLFiypatKgkaebMmXrnnXfSuaLnT+x7eOHCBRUpUiSdKwIAAAD+HdyGbkjvEmwK8mmR3iUAAPBcSY3na8xoAZBmFi9ebLyvUaNGOlYCAAAAAAAAACmDoAVAinjw4IGCg4MTPB4QEKCxY8dKkipXrqyyZcumVWkAAAAAAAAAkGoc0rsAAC+G69evq0yZMmrTpo2aNm2qV199Vc7Ozrp8+bI2b96sWbNm6eHDh7JYLPr222/Tu1wAAAAAAAAASBEELQBSzKNHj7RkyRItWbLE5nEnJyf99NNPqlOnjvFZeHi4Tp48aep8xYsXV5YsWUz1BQAAAAAAAICUQNACIEUULlxYS5cu1aZNm+Tv769r167p9u3bypw5s9zc3NSwYUN98MEHKlasWJx+ly5dUvny5U2dc+fOnfLw8EiB6gEAAAAAAADAHIIWACnC0dFRnTp1UqdOndK7FAAAAAAAAABIMwQtANKVm5uboqOj07sMAAAAAAAAADCFoAUAAAAAACARQT4t0rsEAADwjMqQ3gUAAAAAAAAAAAA8rwhaAAAAAAAAAAAATCJoAQAAAAAAAAAAMImgBQAAAAAAAAAAwCSCFgAAAAAAAAAAAJMIWgAAAAAAAAAAAEwiaAEAAAAAAAAAADCJoAUAAAAAAAAAAMAkghYAAAAAAAAAAACTCFoAAAAAAAAAAABMImgBAAAAAAAAAAAwiaAFAAAAAAAAAADAJIIWAAAAAAAAAAAAkwhaAAAAAAAAAAAATCJoAQAAAAAAAAAAMImgBQAAAAAAAAAAwCSCFgAAAAAAAAAAAJMIWgAAAAAAAAAAAEwiaAEAAAAAAAAAADCJoAUAAAAAAAAAAMAkghYAAAAAAAAAAACTCFoAAAAAAAAAAABMImgBAAAAAAAAAAAwiaAFAAAAAAAAAADAJIIWAAAAAAAAAAAAkwhaAAAAAAAAAAAATCJoAQAAAAAAAAAAMImgBQAAAAAAAAAAwCSCFgAAAAAAAAAAAJMIWgAAAAAAAAAAAEwiaAEAAAAAAAAAADCJoAUAAAAAAAAAAMAkghYAAAAAAAAAAACTCFoAAAAAAAAAAABMImgBAAAAAAAAAAAwiaAFAAAAAAAAAADAJIIWAAAAAAAAAAAAkwhaAAAAAAAAAAAATHJI7wIAAAAAAADSi9vQDeldwlMJ8mmR3iUAAPCvx4wWAAAAAAAAAAAAkwhaAAAAAAAAAAAATCJoAQAAAAAAAAAAMImgBQAAAAAAAAAAwCSCFgAAAAAAAAAAAJMIWgAAAAAAAAAAAEwiaAEAAAAAAAAAADDpXxm0eHh4yGKxyMPDI71LeWFZLBZZLBaNHj063rG5c+cax4OCgp7qPPwuk457lTZS8vsNAAAAAAAA4NmXLkHLgwcPNGPGDLVo0UJFihSRi4uLsmbNqhIlSqhmzZrq27evlixZouDg4PQoL1WcOHFCn332merWrauXXnpJmTJlUtasWVWsWDG1bNlS3377ra5cuZLeZeI5MG7cOONBfrZs2RQaGpreJQEAAAAAAADAv5ZDWp/Qz89Pb775Zry/9H78+LHOnTunc+fOaf/+/Zo+fboKFCjw3IcPd+7c0cCBAzV//nxFRkbGO/7gwQP9888/Wr9+vT7++GO9++67+vzzz5U7d+50qPbZ4OXlpZ9//lnFihVjRoAN8+fPN96HhIRo1apV6tatWzpWBAAAAAAAAAD/XmkatJw5c0aNGjXSvXv3JEmtWrVShw4dVKpUKTk5OenGjRs6evSotm3bpp07d6ZlaakiKChIzZo104kTJyRJ+fLlU5cuXVS3bl0VKlRIFotFly9flq+vr1auXKlLly5p2rRpatKkidq0aZO+xaciLy8veXl5pchYvr6+KTLO82L//v06deqUJClr1qwKCQnRvHnzCFoAAAAAAAAAIJ2kadAyfPhwI2SZPXu2vL2947Vp1KiRhgwZouvXr2vZsmVpWV6KevjwoVq2bGmELN7e3po0aZKyZcsWr23btm319ddf68cff9Tw4cPTulQ8R+bNmydJyps3rz766CN9/PHH2rFjhy5duqTChQunc3UAAAAAAAAA8O+TZnu0REZGav369ZKkKlWq2AxZYsuXL5/69++fFqWlimHDhunYsWOSYmZwzJ4922bIYuXk5KT//ve/OnDggIoWLZpWZeI5EhYWpqVLl0qSOnXqpB49eihjxoyKiorSwoUL07k6AAAAAAAAAPh3SrOg5fr168am3a+88orpccLCwrRu3Tq9//77qlq1qnLlyiVHR0flyZNH1atX1+jRo3Xjxo0Uqfn27dsaN26catasqbx588rZ2Vmurq5q3bq1Vq1alWC/GzduaMaMGZKkggUL6vvvv0/yOcuWLavKlSvbPBYSEiIfHx/VrFlTuXPnlrOzs4oUKaIOHToYIVZCPDw8ZLFY5OHhIUm6dOmSBg0apFdeeUWZMmVSnjx51KRJE23atClJdS5cuFAeHh7KlSuXsmbNqnLlymnUqFG6c+dOon3nzp1rbOYeew+W0aNHy2Kx6Oeff5YknT9/3mgX+2XvuhKyZ88ede/eXW5ubnJxcVHOnDnl7u6uESNG6Pr16wn28/X1Nc5rXaZs2bJlatCggfLly6dMmTLp1Vdf1f/+9z/dunUr0Wt/GuvWrTPO0a1bNxUsWFD169eX9P8zXZLj5MmT6t27t4oXLy4XFxcVKlRIHTt21L59+xLsExQUZNyPuXPnSpK2bdumli1bqmDBgnJ2dlbx4sXVr18/Xbx4MdEawsLCNHXqVNWrV0/58uWTk5OTChYsqObNm2vBggWKiopKsK+Xl5csFovc3NwkScHBwfr4449VtmxZZcuWLc7v7Mm2V65c0ZAhQ1SqVCllzpxZhQsXVqdOnfTnn3/Gu94PP/xQpUqVUqZMmVSgQAF17dpVf//9d6LXBgAAAAAAAODfIc2WDnNycjLe//XXX6bH6d27t/EgPrZbt27Jz89Pfn5+mjx5stasWaM33njD9Hk2btyorl27xgsOgoODtXbtWq1du1YtWrTQkiVLlDVr1jhtlixZYoRK7777rt2ZLEkVEBAgT09PXb58Oc7nly5d0sqVK7Vy5Uq1a9dOCxculIuLi92x9uzZozZt2ujmzZvGZ48ePdLWrVu1detWff311xoyZIjNvhEREercubNWrlwZ5/M///xTf/75pxYuXKht27aZvMqUFxUVpQ8//FBTpkyJ8/njx4915MgRHTlyRJMnT9by5cvVqFEju2NFRkaqa9euWrRoUZzPT506pa+//lqrV6/W7t27VbBgwRS/Dun/w5SXX35ZNWvWlBQTuGzbtk1//vmnDh8+rEqVKiVprE2bNqljx4568OCB8dmVK1e0YsUKrVq1Sl9//bUGDRqU6DhDhw7Vl19+GeezoKAgTZs2TStXrtSuXbtUpkwZm33Pnz+vZs2axfv/4OrVq9q0aZM2bdqk6dOna82aNcqdO7fdOvbv36+WLVsmKWQ9evSomjZtqitXrhifPXz4UMuXL9eGDRu0ZcsW1apVS7/++qvatWunu3fvGu0ePXqkRYsWadOmTdq9e7fKli2b6PkAAAAAAAAAvNjSbEZL7ty5VaxYMUkxDzq//PJLu3+tnpCIiAiVKFFCgwcP1tKlS7Vv3z4dPHhQK1asUN++feXk5KSbN2+qbdu2unbtmqlat23bplatWunOnTtyc3PTl19+KV9fXx0+fFjr1q0zNh7fsGGDevbsGa//rl27jPeenp6maojt0qVLatCggS5fviyLxSJvb29t2bJF/v7+mjdvnipUqCBJWrVqlc16YgsODlbbtm2VMWNG+fj4aM+ePfLz89O3336rnDlzSpI++eSTeH/ZbzVw4EAjZHn11Vc1a9YsHTx4UNu3b1efPn107tw5vfnmm6au87333lNgYKBat24tSXJ1dVVgYGC8V3IMHTrUCFmKFy+uadOmyc/PTzt37tTAgQPl6Oiou3fvytPTU0ePHrU71siRI7Vo0SK1adNGq1at0qFDh7Rx40a1aNFCknTmzBkNHDjQxJUn7saNG8Zso65duxqft2vXTpkzZ5aU9Fktly9fVpcuXeTg4KAvvvhCv//+u37//Xd9/vnnyp49u6KiojR48GC7s7Yk6aefftKXX36punXratGiRfL399f27dvVo0cPSTGz2N5++22bfUNCQlS/fn0jZGnTpo3Wrl0rf39/LV++XHXr1pUUEwp6enoqMjIywTpCQkLUvn17PXr0SMOHD5evr6/8/Pw0a9YsFSpUKE7b0NBQtW3bVmFhYfriiy+0d+9e7d+/X6NHj5aTk5NCQ0PVvXt3nTlzRm3btlW2bNk0adIk7d+/X3v27NHAgQNlsVh0+/ZtvfPOO0m63wAAAAAAAABebGk2o0WSPvjgA2OmxNChQ/Xjjz+qZcuWqlmzpqpXr66XX3450THGjBmjEiVKxFtCqkqVKmrfvr3ee+89vf7667p+/bp++OEHjR07Nlk1PnjwQN27d1dkZKQaN26s1atXGw+yJcnd3V2enp6qU6eOevfurVWrVmnHjh1q0KCB0cb6wD5DhgyqWLFiss5vy4ABA3T79m1JMQ+3Yz/grVy5sjp16qRmzZpp586dWrZsmby8vNSsWTObY506dUrFihXT3r1742yeXrVqVVWtWlV16tRRRESEZsyYoUmTJsXp+8cff2jq1KmSpEqVKmnXrl1xZvM0aNBAr7/+eqJhT0Ly58+v/PnzG4GPo6OjypUrZ2osSQoMDNQ333wjSSpXrpx2795tjC3FLDvWuHFjtWjRQmFhYerdu7cOHDiQ4Hi///67xo0bp+HDh8f5vGnTpmratKm2bt2qFStW6Pvvv1e+fPlM123LokWLFB4eLklG0CdJWbNmVevWrbV48WItXrxYEyZMkIOD/X/Wp0+fVo4cObRv3744s01q1qyp1q1b6/XXX9e9e/f0wQcfyNPTM85stNh+//139erVS9OnT4/z77FBgwZycnLSzJkztX//fgUEBMjd3T1O3zFjxujs2bOSpBEjRsT5d1q5cmW1b99e3bt318KFC7Vv3z7NmDFD/fr1s1nHzZs3lTVrVu3Zs8cIHaWY7/STrl+/rujoaPn5+cX5/6Z69erGvlBBQUF6/fXXVaBAAe3duzfO7/KNN96Qg4ODvv76ax04cMDmtT2txJZcCw4OTtHzAQAAAAAAAHg6aTajRYqZDRH7L9zPnz+vyZMnq2vXrnrllVdUsGBBde7cWevWrVN0dLTNMV5++eV4IUts5cuX17vvvitJ+uWXX5Jd45w5c3T16lW5uLho/vz5cUKW2Hr16qVq1aoZfWKzLl+UI0cOOTs7J7uG2IKDg7V69WpJUpMmTWz+Fb2zs7Nmz55tPGCfPHmy3TF/+OGHOCGLVa1atVS9enVJ0u7du+MdnzZtmjELacaMGfGWTJOkHj16JBjypLUff/zRqPenn36KE7JYNW3a1PhO+vn56eDBgwmOV7lyZQ0bNize5xaLxVhmKyIiwu4eJ2ZZZ6tUq1ZNJUuWjHPMGrxcu3ZNmzdvTtJ4n376qc0lvcqWLWsESZcvX9aaNWsSHKNQoUL64YcfbP57jL303JPfpcePH2vmzJmSpNdee02jR4+O199isWjq1KnKkyePpMS/0//73//ihCz2jB071mao6+3tbSy7Zw1qbQVmsQMfW/9OnlbRokXtvqz/7wAAAAAAAAB4NqRp0JIhQwbNmjVLmzZtUqNGjZQhQ9zTX716VUuXLlWrVq1UrVq1JG04ffv2bf3999/6888/dezYMR07dsx4oH78+HFjFkBSWR8s161bV/nz57fbtk6dOpIU78H6/fv3JUlZsmRJ1rlt2blzp7Fskr2litzc3Iw9Rnx9fRNcailnzpzGUle2VK5cWZKM2Qaxbd++XVJMmGVtZ0tCy0WlNWu9r732mmrUqJFgu169esXrY0uXLl0SDPli3w9b9+5pHD9+XIcOHZIUdzaLVePGjY3v6vz58xMdz2Kx2J115O3tbVynvfvRoUOHBIPEV1991Qjinrwfhw4dMvY+8vLyUsaMGW2OkT17dnXq1ElSzD2wN5Mj9nJq9lgsFmPMJ2XKlMkIsXLlyqXGjRvbbFe8eHFj36WU/l0DAAAAAAAAeP6k6dJhVtallm7fvq29e/fK399fhw4d0u7du42Np/39/VW7dm0dOnQo3j4LgYGBmjhxojZt2hRnQ+snRUVF6fbt24kGJrH5+/tLkrZs2WJ35kxsT9aQLVs23b59O85G42YdO3bMeG+dbZKQ6tWra9OmTQoNDdXZs2fjzXyQpJIlS8YLuGKzbjpuDYusHj16pDNnzkiyvSRTbM/CX9w/fvxYp0+flpT4fXN3d5ejo6PCw8Pj3O8nlS5dOsFjsTdrf/LePa2ff/5ZkuTg4KDOnTvHO+7g4KA333xTP/zwg9auXau7d+8qR44cCY5XvHhx5c2bN8Hj+fLlk5ubm86dO2f6fkgxYUVISEi8+5Hc7/SPP/5o9Hvy/wIpZvm0EiVK2B3HKm/evHF+V0+yhrSvvPKK3X//OXPm1P3791P8dy1JFy5csHs8ODj4mfg3BgAAAAAAACBGms5oeVKuXLnk6emp0aNHa926dbp69apmz56tXLlySYp5oPjpp5/G6TNr1ixVqlRJc+bMsRuyWD18+DDJ9YSHhxt/aZ8coaGhcX62PsS+e/euHj9+nOzxYrt165bxvkCBAnbbFixY0Ga/2BJaCs3KGsJYl9yyunPnjrGcW2LBVWJ1pgXrnjZS4vU4OjoaS1QldN8k+/cudnhlb+P25IqKitLChQslxcxcSWjvF+tMl0ePHmnZsmV2x0xK8Gi9Z2bvh/T/9+TJ+5HS32lbS8IlJKk1m722lFCkSBG7L1thEwAAAAAAAID0k65By5OcnZ3l7e2txYsXG5+tWrXKeOh/4sQJ9e3bVxEREcqfP7++/vprHTp0SDdv3lRYWJiio6MVHR2tWbNmGf0T2uvFltgPTTt16qTAwMAkv2Kz7hURFRWlI0eOmLkVpiTnWp9m7KTO9HlWJKXe1Lx3T2PHjh26dOmSJGnjxo2yWCw2X7Fnhlj3c0nIs3Q/EqslKXUktPQYAAAAAAAAAKSFdFk6LDFNmjRR0aJFdeHCBd2+fVs3b95Uvnz5NHfuXEVERChjxozy9fW1uZm3FHc2Q3K4uLgoc+bMCg0N1Z07d1SuXDlT49StW1crVqyQJG3YsCHR5ZHsib3M0dWrV/XSSy8l2Pbq1as2+6UE6yyjJ8+TWB3pJXa9ic18ioiIMGZLpPR9e1rWZcOSY+/evTp79myCy2kl5fdz7do1SalzP2KPeeXKFZUqVSrBtqn5nQYAAAAAAACAlPBMzWiJzdXV1XhvXabnzz//lBQzYyShkEX6/31WzHB3d5cU87D6ySXBkqpz587KlCmTJGnmzJlPtVdL7LDnwIEDdtv6+flJiln2qHjx4qbPaYuLi4ux58vBgwfttk3seGJSYsaMs7OzUW9i9y0gIEDh4eGSZDpcSw0hISFavXq1JKlBgwZavHix3dfMmTMlxcwCmT9/foLjnjt3Tjdv3kzw+PXr1xUUFCQpde6Hme90atUCAAAAAAAAAE/rmQxaQkNDdfz4cUlS9uzZjb9kj4iIMI4n5MqVK1qzZo3pc7dq1UqS9ODBA02ZMsXUGHnz5lWvXr0kxewzM2DAgCT3/fPPP3Xo0CHjZw8PD2NppNhLoj3pn3/+0bZt24w+Dg4pP1mpYcOGkqTAwEAFBAQk2G727NlPdR4XFxdJeur9baz1Hj9+XPv370+wnTWgiN3nWbBixQrju96vXz917tzZ7uudd95R5cqVJclu0BIdHW13ebG5c+caS3alxv2oXLmysa/Kzz//nOA+J/fv3zf2m3nttdfYmwQAAAAAAADAMynNgpaQkBBVr15d69evj7fRemxRUVH64IMPdP/+fUkxwYd1hoN1hsKpU6dsPjgPDQ1Vly5d9PDhQ9N19u3b19jM/tNPP9WmTZvstt+7d69+++23eJ+PHz9er732mqSYB/m9evVSSEhIguOEh4frhx9+UI0aNXThwgXjc1dXV7Vt21aStGXLFpshRlhYmN5++21jVsb777+fyFWa06dPH+N30bt3b5szdRYuXKiNGzc+1XmsD9SvXbtmfA/M6NevnzEbqnfv3rp79268Nlu3bjUCrGrVqqlq1aqmz5fSrGFI5syZ1axZsyT16dChgyTp77//1t69exNsN3bsWJ08eTLe53/99Zc+//xzSTG/h9atWye37EQ5Ozvr3XfflRQTLI4ZMyZem+joaL3//vu6ceOGpNT7TgMAAAAAAADA00rTGS1+fn5q2bKlXnrpJb3//vtauHCh9uzZo6NHj2rXrl367rvvVLFiRSNMyJEjh8aOHWv07969u6SYMKZ58+by8fHRb7/9Jj8/P/3444+qWLGidu7cqTfeeMN0jdmzZ9fixYvl4OCgx48fy9PTU506ddLSpUvl7+8vf39/rVu3TqNHj1aFChVUq1Yt/fHHH/HGyZw5s9atW2fsPzFz5ky9/PLLGjRokNasWSM/Pz8dOHBAv/zyiwYNGqRXXnlFH374oc0wZuLEicaeI++++67eeecdbdu2TYcOHdLChQtVvXp17dixQ5LUqVOnJD+UT64KFSqof//+kmKWZ6tSpYrmzp2rQ4cO6ddff1W/fv3Uo0cPValS5anO8/rrr0uK+T337dtX+/fv1+nTp3XmzBmdOXMmyeOUL19egwcPlhQzC6dSpUqaMWOGDh48qF27dmnIkCHy9PRUZGSknJycNH369KeqOyX9888/8vX1lSQ1a9ZMmTNnTlK/9u3bG+8TmrVSsmRJRUVFqUaNGvLx8dH+/fu1f/9++fj4qGbNmkYg9cMPP8jJyenpLiQBI0eONPaQGTt2rNq1a6f169fr8OHDWrlyperXr2/UX7NmTfXu3TtV6gAAAAAAAACAp5Xy60sldCIHBxUsWFBXrlzRpUuXNGXKFLtLc5UsWVKLFy+Wm5ub8VnVqlU1ZswYjRo1Srdv39Ynn3wSr9/gwYNVrlw5u3/Nn5iGDRtqy5Yt6tq1q65cuaLly5dr+fLlCbbPnj27zc9LlCihffv2acCAAVq4cKGuXbumiRMnauLEiTbbOzo6ql+/fqpXr16cz4sUKaIdO3bI09NTly9f1uzZs23ObGnXrp2pzdOT49tvv9Xly5e1atUqnThxQt7e3nGOFy9eXMuWLUtwI/akqF+/vmrUqKH9+/dr0aJFWrRoUZzj1mWtksLHx0cPHjzQ1KlTdfbsWfXp0ydemxw5cmjZsmWqWLGi6ZpT2vz5843rtM5SSYqSJUvqP//5j/744w8tW7ZM33//vZydneO0cXV11cSJE9WpUyeb/4YyZMigr776Kk5ok9KyZcumHTt2qFmzZjpx4oRWr15t7EcT2xtvvKG1a9cay+cBAAAAAAAAwLMmzWa0uLi46NKlS9q7d6/GjBmjZs2aqUSJEsqSJYsyZsyo7Nmzq3Tp0nrzzTe1aNEiHTt2zNhvIraRI0dqw4YNaty4sXLlyiUnJycVKVJE7dq109atWzVhwoQUqbd+/fr6+++/NXnyZDVt2lSFChWSk5OTXFxcVLRoUTVu3Fiff/65Tpw4oR49eiQ4Tu7cuTVv3jwdO3ZMo0aNUq1atVS4cGE5Ozsrc+bMeumll9SyZUtNnDhRFy9e1KRJk5QjR45447i7u+vkyZMaP368qlevrpw5c8rJyUmurq5q166d1q5dq5UrVxr7m6QWR0dHrVy5UvPnz1ft2rWVI0cOZc6cWWXKlNGwYcN06NAhFS9e/KnOkSFDBm3dulUjRoxQhQoVlDVrVmPJMjNjTZkyRb/99pu6du2ql156Sc7OzsqePbsqVqyoYcOG6fTp02rcuPFT1ZzSrHusODs7q0WLFsnqaw1I7ty5o7Vr19ps06JFC/n7+8vb21vFihWTk5OT8ufPr/bt22vPnj3GTKDU5ObmpqNHj2ry5MmqW7eu8uTJI0dHRxUoUEBNmzbV/Pnz9dtvvxl7NAEAAAAAAADAs8gSnZzpAQCAdHXx4kUVLVpUknThwgUVKVIknSsCAAAAnm9uQzekdwlPJcgneX+cBwDAv11qPF9L0z1aAAAAAAAAAAAAXiQELQAAAAAAAAAAACYRtAAAAAAAAAAAAJjkkN4FAC+qO3fu6OLFi6b6litXLoWrAQAAAAAAAACkBoIWIJX88ssv8vb2NtU3Ojo6hasBAAAAAAAAAKQGlg4DAAAAAAAAAAAwiaAFSCVeXl6Kjo429QIAAAAAAAAAPB9YOgwAAAAAAPxrBfm0SO8SAADAc44ZLQAAAAAAAAAAACYRtAAAAAAAAAAAAJhE0AIAAAAAAAAAAGASQQsAAAAAAAAAAIBJBC0AAAAAAAAAAAAmEbQAAAAAAAAAAACYRNACAAAAAAAAAABgEkELAAAAAAAAAACASQQtAAAAAAAAAAAAJhG0AAAAAAAAAAAAmETQAgAAAAAAAAAAYBJBCwAAAAAAAAAAgEkELQAAAAAAAAAAACYRtAAAAAAAAAAAAJhE0AIAAAAAAAAAAGASQQsAAAAAAAAAAIBJBC0AAAAAAAAAAAAmEbQAAAAAAAAAAACYRNACAAAAAAAAAABgEkELAAAAAAAAAACASQQtAAAAAAAAAAAAJhG0AAAAAAAAAAAAmETQAgAAAAAAAAAAYBJBCwAAAAAAAAAAgEkELQAAAAAAAAAAACYRtAAAAAAAAAAAAJhE0AIAAAAAAAAAAGASQQsAAAAAAAAAAIBJBC0AAAAAAAAAAAAmEbQAAAAAAAAAAACYRNACAAAAAAAAAABgEkELAAAAAAAAAACASQQtAAAAAAAAAAAAJhG0AAAAAAAAAAAAmETQAgAAAAAAAAAAYBJBCwAAAAAAAAAAgEkELQAAAAAAAAAAACYRtAAAAAAAAAAAAJjkkN4FAAAAAAAApDa3oRvSu4RUEeTTIr1LAADgX48ZLQAAAAAAAAAAACYRtAAAAAAAAAAAAJhE0AIAAAAAAAAAAGASQQsAAAAAAAAAAIBJBC0AAAAAAAAAAAAmEbQAAAAAAAAAAACYRNACAAAAAAAAAABg0r8uaBk9erQsFossFkuqncPX19c4h6+vr+lxvLy8ZLFY5ObmlmK1pbagoCDj2ufOnZve5aSZ5/F39aS0+LfxPPm3fpcBAAAAAAAAJE+qBi2xAweLxaLOnTsn2sf6wJqHvYDi/PtJyqtixYrpXTIAAAAAAAAA/Kuk6YyWZcuWKTAwMC1PCQAAAAAAAAAAkGoc0vJk0dHRGjVqlFatWpWWp41j9OjRGj16dLqdHzCjSpUqmjNnTqLtMmXKlAbVAAAAAAAAAACs0ixoyZs3r27cuKHVq1fr8OHDqlSpUlqdGnjuZcmSReXKlUvvMgAAAAAAAAAAT0izpcP++9//ytnZWZI0atSotDotAAAAAAAAAABAqkmzoKVIkSLq3bu3JGn9+vU6cOCA6bGio6O1YsUKtW/fXkWLFpWLi4ty5cqlatWqaezYsbpz506CfUePHm1sHG7P7t271a5dOxUoUEAuLi4qUaKE+vbtqzNnzkiSPDw8ZLFY5OHhkaSaly1bpgYNGihfvnzKlCmTXn31Vf3vf//TrVu3knrZunTpkgYNGqRSpUopc+bMypcvn5o3b65NmzYlqX9gYKB69+6tkiVLKnPmzMqWLZvKli2rgQMHKigoKMF+QUFBxj2bO3euJGnVqlVq3ry5XF1d5eDgYPc+bNu2TS1btlTBggXl7Oys4sWLq1+/frp48WKiNYeFhWnq1KmqV6+e8uXLJycnJxUsWFDNmzfXggULFBUVlegYISEh8vHxUc2aNZU7d245OzurSJEi6tChg9avX59of0k6fvy4evbsaXzfihYtqi5duujgwYNJ6v8suHjxovr3768SJUrIxcVFrq6uatWqlbZv326338GDB43f/5YtW2y2adiwodHmm2++sdlmwIABslgsyp8/v6Kjo+McCw4O1tSpU9WhQweVLFlSWbJkkbOzswoXLqzWrVtr6dKldn/Xvr6+xvl9fX0VFRWl2bNnq169eipQoIAyZMggLy+vOH0iIyM1ZcoUVa9eXdmzZ1eOHDlUqVIlTZgwQY8fP7Z7T6xOnTqlDz74QOXKlVPWrFnl5OQkV1dXVaxYUW+//baWLl2a5LEAAAAAAAAAPJ/SdI+WTz75RDNnztTDhw81cuTIBB/a2nP9+nW1bdtWe/fujfP548ePdfDgQR08eFBTpkzRmjVrVL16dVN1fv755/r000/jPAw+d+6cpk+frkWLFmnFihVJHisyMlJdu3bVokWL4nx+6tQpff3111q9erV2796tggUL2h3H399fLVq00LVr14zPHj58qE2bNmnTpk3673//q++++y7B/uPHj9eIESPiPaw+fvy4jh8/rh9//FEzZsxQjx497NYRHR2tHj16aP78+XbbWQ0dOlRffvllnM+CgoI0bdo0rVy5Urt27VKZMmVs9j1//ryaNWumv/76K87nV69eNa57+vTpWrNmjXLnzm1zjICAAHl6eury5ctxPr906ZJWrlyplStXql27dlq4cKFcXFxsjrFkyRL17NlTYWFhxmcXL17U4sWLtXz5ck2fPj3R+5Dedu3apVatWunevXvGZ8HBwVq3bp3WrVunMWPGJNi3UqVKyp49u+7du6edO3eqSZMmcY6HhYVp3759xs87d+7U4MGD443j6+srSapTp06coDMyMlJFihSxGaRcvnxZa9eu1dq1azVr1iytWrVKWbNmtXutjx49UpMmTewGSPfv31ezZs3i/T8SEBCggIAALVmyRD/99JPd8yxfvlzdunWL872QYu5rcHCwjh49qjlz5igwMJBl3wAAAAAAAIAXWJrNaJGkQoUKqV+/fpKkrVu3as+ePcnq/+DBA9WtW1d79+6Vk5OT+vTpozVr1ujw4cPavXu3Pv/8c+XJk0dXr15Vs2bNdP78+WTXuHjxYo0YMULR0dHKlSuXfHx89Pvvv+v333/Xl19+KQcHB3Xu3FnBwcFJGm/kyJFatGiR2rRpo1WrVunQoUPauHGjWrRoIUk6c+aMBg4caHeM0NBQdezYUXfv3tXQoUP122+/6cCBA/r+++9VqFAhSdKkSZP07bff2uw/depUDRs2TFFRUcqXL58mTJigffv2ac+ePRo9erSyZMmix48fy8vLSxs3brRby3fffaf58+erdu3aWrRokfz9/bV9+3Z17949XtuffvpJX375perWrRunrTXMuX79ut5++22b5wkJCVH9+vWNkKVNmzZau3at/P39tXz5ctWtW1eStGfPHnl6eioyMjLeGJcuXVKDBg10+fJlWSwWeXt7a8uWLfL399e8efNUoUIFSTGzc3r27GmzjgMHDqh79+4KCwuTs7NzvPufN29e9e3bV0eOHLF739JTUFCQWrZsqXv37ilDhgzq27evtm/froMHD2rWrFkqWbKkRo0apQ0bNtjsnzFjRr3xxhuS/j8sic3Pz0+hoaHGz3v27In3+7h9+7YCAwMlKd7sJ2ugWb9+fX399dfavHmzDh06JF9fX82ePVs1a9aUFDMzqn///ole78cff6zt27erVatWcf7NNWvWzGjTtWtXI2SpVq2aFi9eLH9/f23YsEEdO3bUoUOH1KdPnwTPcfXqVXl7eyssLEz58+fXZ599pq1bt+rw4cP6/ffftWDBAvXu3Vt58+ZNtF4AAAAAAAAAzzdL9JNr+KQgX19f1atXT5I0Z84ceXl56fr16ypevLgePHigevXq6ddff43Tx8vLSz///LMkxVte6IMPPtDkyZOVI0cObd++XVWqVIl3zvPnz6tmzZoKDg5Wt27d4s28GD16tPHX+0+O//jxY7300ku6du2acufOrX379qlUqVJx2pw6dUo1a9Y0lvyqW7duvIfPsa9bksaNG6fhw4fHaRMdHa2mTZtq69atcnBw0OXLl5UvX74E74Wjo6O2b9+uOnXqxGlz+fJlVa9eXRcvXlTmzJl17tw55c+f3zh+/fp1ubm5KTQ0VK6urtq/f7+KFi0aZ4yAgADVrl1bDx48UOHChXXu3Dk5Ojoax4OCglS8eHHj5x49emju3Lk2l197sm2vXr00ffr0eG179eqlmTNnSpIOHz4sd3f3OMc/+ugjTZgwQZI0YsQIjR07Nt796969uxYuXCgpJkyyhnhWHTt2NGYfzZw5U++8806c448fP1azZs20c+dOSYr3MF6SqlSpokOHDiV4/y9duqQaNWoYy6AVK1bM7jJsyWW9b1WqVNGcOXMSbV+kSBHlzJkzzmft27fXqlWrJEmLFi3SW2+9Fef4/fv3Vbt2bR09etT47Ml/G1999ZU+/vhjOTg46Pbt23FmlYwbN06ffvqpGjVqpD179ujhw4c6ePBgnH+fv/zyi9q2bStJ+uOPP1S+fPk45/r777/1yiuvJHhdo0aN0meffSaLxaKTJ0+qZMmScY4/+W/u008/1WeffWZzrHXr1qlVq1aSpObNm2vNmjVycIg7ue+zzz6Ls5eU9f8vq9mzZxvfJ3szVh49eqTo6GhlypQpwWt7UmJL6gUHB6tatWqSpAsXLqhIkSJJHhsAAAD4N3MbavuPy553QT4t0rsEAACeKxcvXjSekafU87U0ndEiSfny5dP7778vKWaJIetD7sTcuHHDeDD/2Wef2QxZpJgH3Z9++qkkaenSpXH+0j4xq1evNpbmGjVqVLyQRZJKlSoV5wFsYipXrqxhw4bF+9xisWjQoEGSpIiIiDhLL9nSp0+feA/5JcnV1dXYEyM0NNQIZqzmzJlj3INvvvkmXsgiSe7u7vrkk08kxQQHv/zyS4J15MyZU5MnT050jxspZgbTDz/8YLPtkCFDjPe7d++Oc+zx48fG7/q1117T6NGj4/W3WCyaOnWq8uTJI0maPHlynOPBwcFavXq1JKlJkybxQhZJcnZ21uzZs42H7E+O4efnp0OHDklK+P4XLlw4wT1JUpK/v7/Kly+f6OvJ311wcLDWrFkjSfL09IwXskhStmzZNGPGDLvnt84gioiIiDcTbdeuXZKkxo0bG7NPngwfrW3y5MkTL5SwWCx2QxYpZmZY3rx5FR0drbVr19ptm9i/0R9//FFSzO//p59+iheySDHhnr3lvq5cuSJJypUrl912Li4uyQpZJKlo0aJ2X9aQBQAAAAAAAMCzIc2DFilmtkK2bNkkyQhFErNlyxY9evRIktSpUye7ba0PxMPDw40H5UmxY8cOSVKGDBlsLoVl1a1btyQFDZLUpUuXBNtWrlzZeH/27Fm743h7eyd4rG3btsYshif3pbD+nDNnTrVv3z7BMd599914fWxp2bKl8btLTIcOHeTs7Gzz2KuvvmrMinjy2g8dOqQ7d+5IipnVkzFjRptjZM+e3fguHD9+PM5ybjt37jSWr7IVsli5ubmpUaNGkmLCgdhLXsW+D0m9/8+a2PfB3jVUq1ZNZcuWTfB45cqVjd9X7BAlPDxcv//+u6SYJcGsy4LZmuUlxd+fxZaoqChdvnxZJ0+e1LFjx3Ts2DH99ddfRrIce+aNLW+++WaC35mIiIg4wZCrq6vNdhkyZEhwOTlJxpJ9t2/fNoIsAAAAAAAAAP9O6RK05MmTRwMGDJAk7d27V1u2bEm0j7+/v/G+UKFCslgsCb5i/4W59S/Pk+LYsWOSpOLFiytXrlwJtsudO7dKlCiRpDFLly5tdxyr+/fvJ9jOyclJ//nPfxI87ujoaCy9Zb0GK+vP7u7ucZYDe1KBAgXk5uZmc4zY7NXxJHvXLsm4x09ee+zzV69e3e4YsY/H7mdmjNDQ0Dihj3VPkeTc/9RSt25dRUdHJ/qKvbyV9P/XIElVq1a1ew57MyUcHBxs7tNi3Z8le/bscnd3N4KW3bt3GwHPnTt39Mcff0iKvz+LVXR0tBYsWKB69eopa9asKly4sEqXLh1nto51H5wbN27YvQ57v6u///7bmOH1NPejVatWRrjWtm1b1a9fXxMnTtShQ4ds7heUHBcuXLD78vPze6rxAQAAAAAAAKSsdAlaJGnQoEHGg8qRI0cm2t66pFdyJWfpsNu3b0tSnD1OEvLkfioJyZw5c4LHMmT4/9tv7+Fs7ty5bS5vFFuBAgUkydg7xsr6s/W4PQULFrQ5Rmz2Aqgn2bt26f+v/8lrj33+xOq21vxkv5QYw/p9SM79f9ZYr0FK/Hud2DVYQ5JDhw4pJCRE0v+HLrVr11bGjBlVvXp1ZcqUSffu3VNAQICkmGXDoqKiJP3/EmSxPXr0SC1atFD37t3l6+urhw8f2q0jseP2vqMpdT/y5MmjtWvXqnDhwoqOjtbOnTs1aNAgValSRblz51b79u21fv16u+MnpEiRInZf1tk0AAAAAAAAAJ4N6Ra05MyZ09ijxM/PL9GHktaH8U5OTgoMDEzyq3Xr1ql+LaktKcuUPbl5eWqMISnBJZlSS2J1J6XmxCQ0hvXzlLp36SF2XU97L23t02Jdhssawjg5OcXbp8XaJleuXDZnm3z++efatGmTcY5ly5bpzJkzCgkJUWRkpDFbp3bt2kmq0953NCXvR+3atXXmzBktWLBAXbp0MZY2u3fvnlatWqWWLVuqadOmyQp7AQAAAAAAADx/0i1okaQBAwYYm5mPHDnS7oNNa7uwsDBjQ+2kvJKzd4b1L+GTMnvm+vXrSR73ad28eTPR5YisNcdejiz2z0lZQu3q1as2x0hrsc+fWN3Wmp/sF/t97DZmxkjO/X/WJOc+JHYNVatWVZYsWSTFhChP7s9i9eQ+Lfb2Z4mOjtbMmTMlSbVq1dKvv/6qjh076uWXX1aWLFnizPqKPRvFrJS8H1LMZvddu3bVwoULdeHCBf3999/6/vvvVapUKUkxe0sNHz786YoGAAAAAAAA8ExL16AlW7Zs+uijjyRJAQEB+uWXXxJsG3sPjK1bt6ZKPdbNwM+dO2d3+axbt24lunl9SgoLC7O7AXhERISxf0Xs/Wli/xwQEKDw8PAEx7h27ZrOnz9vc4y0Fvv8Bw4csNs29n4VsfuZGSNz5swqXry48Xn58uUlJe/+P2us1yBJBw8etNs2seMODg56/fXXJcWEJwcPHtSDBw+M/VmsYu/TcvPmTePe2dqf5datW0aY1qlTpzjBSmwhISE6efKk3fqS4uWXXzaWtHva+2FLiRIl9MEHH+jgwYPGDJdly5Ylv1AAAAAAAAAAz410DVok6f333zf2Shg1alSCs1qaNWtmbOY+ceJERUREpHgtDRo0kCRFRUVpwYIFCbZbsGBBmi8V9fPPPyd4bPXq1cZf+zds2DDOMevPd+7c0cqVKxMcY9asWcY1PTlGWqtcubIxE+nnn39OcDbJ/fv3jYfYr732Wpy9Kzw8PIwlpGbNmpXguf755x9t27bN6BN7L5bY9yGp9/9ZU69ePeM+2LsGf39/HTt2LNHxYu/TYl3uz7o/i1XsfVomTZpkd3+W2P+O7S2xNWvWLLtBYVI5ODgYdWzdulXBwcE220VFRdm9X4nJnj27qlatKkm6ceOG6XEAAAAAAAAAPPvSPWjJkiWLPv74Y0lSYGCgNm7caLNd4cKF5e3tLUk6evSo+vTpYzdsuXbtmrEkUVK1bdvWCH3GjBmj06dPx2tz+vRpjRkzJlnjpoQff/zR2BcjtitXrmjIkCGSYmZk9OzZM85xb29v4y/4Bw8erAsXLsQb4+jRo/riiy8kxdznNm3apHD1yePs7Kx3331XkvTnn3/avN/R0dF6//33jYfY77//fpzjrq6uatu2raSY5Ztmz54db4ywsDC9/fbbxgP8J8eoVq2aKlWqJCnh+x8cHGzc/2dRoUKFjH2K1q5da3N2RUhIiHr37p2k8WLv0zJ16lRJ8WeqxN6n5fvvv5cUsydThQoV4o2XL18+I1RbsmSJwsLC4rU5ePCgRowYkaT6kqJfv36SpMePH6tPnz42g7zx48crMDAwwTG2bNmSYEgjSXfv3jVmSsWeJQUAAAAAAADgxZPuQYsU8+DTOhvB3l9/f/PNN8aSULNnz1aFChU0adIk7dmzR0eOHJGvr6+mTJmitm3bqmjRopo2bVqy6nBxcdF3330nKWZJo+rVq+urr77S/v37tX//fn311VeqUaOGoqKiVLJkSUlJ2yj9aeXLl0+urq5q1KiRhg0bpj179ujgwYOaMmWKKleurH/++UeSNHbsWCMoit3366+/liRdvnxZVapU0cSJE3XgwAH9/vvv+uyzz1SrVi2FhITIYrFoxowZxsyh9DRy5EiVKFFCUsx1tWvXTuvXr9fhw4e1cuVK1a9fX/PmzZMk1axZ02ZQMHHiRGPfnXfffVfvvPOOtm3bpkOHDmnhwoWqXr26duzYISlm2apmzZrFG2Pq1KlycHBQeHh4vPs/efJkVa5cWcHBwTZDhJT04MEDHTt2LEkv6wwSq2+++UbZsmWTJHXp0kX9+/fXzp07dejQIc2ZM0eVK1dWQECAqlSpkmgd1apVM4K7u3fvSrK9JJj1M2ub2rVr21wWLEOGDOratask6ciRI6pdu7aWLFkif39/7dixQ4MHD1adOnXk4uJi7HvytFq2bKmWLVtKktatW6c33nhDS5cu1eHDh7V582Z17txZI0aMMGak2LJ48WIVK1ZMLVq00KRJk7Rjxw4FBATot99+09SpU1WzZk1dunRJ0v8HOwAAAAAAAABeTA6JN0l9mTJl0rBhw/TBBx/YbZc1a1bt2rVLXbt21ebNm3X8+HENGDAgwfbZs2dPdi1vvfWWzp49q08//VS3b982ZttYZc6cWcuXL5ePj49Onz4tFxeXZJ8juTJnzqwVK1aoWbNmGj9+vMaPHx+vzYcffqhBgwbZ7P/ee+/pzp07+vTTT3Xt2jWb7ZydnTVjxgw1b948xes3I1u2bNqxY4eaNWumEydOaPXq1Vq9enW8dm+88YbWrl0bZ+kqqyJFimjHjh3y9PTU5cuXNXv2bJszW9q1a5fgMlHVq1fXvHnz5OXlpUePHsW7/w4ODsZsF3v7uDwtf3//OPut2HP79m1jlogkubm5ae3atWrVqpXu37+vqVOnGrNRrEaNGmWcxx5HR0fVrFnTCKhy5MgRZ38WqyfDF1thjNXnn3+uvXv36siRI/Lz89Nbb70V53ju3Lm1cuVKjRw5UqdOnbJbX1ItXLhQzZo10969e3XgwAF17tw5zvFKlSpp+vTpxowmW8LDw7Vx48YEZ+FJUv/+/RP9fw0AAAAAAADA8+2ZmNEiSb169VLRokUTbZc7d25t2rRJO3bskLe3t0qWLKmsWbPKwcFBuXPnVtWqVdW/f39t3LjR2HsjuYYPH65du3apTZs2yp8/v5ydnVWsWDG9/fbb8vf3V/PmzXXv3j1JMQ+a00KVKlV0+PBhffjhh3r55Zfl4uKiPHnyqGnTptq4caMmTZpkt/+wYcMUEBCgXr166eWXX1amTJmUJUsWlSlTRv/973914sQJ9ejRI02uJanc3Nx09OhRTZ48WXXr1lWePHnk6OioAgUKqGnTppo/f75+++035c6dO8Ex3N3ddfLkSY0fP17Vq1dXzpw55eTkJFdXV7Vr105r167VypUr7QZmb731lgICAtS9e3e5urrKyclJhQsXVqdOnbRnzx5jmbNnmYeHh/7880/169dPxYoVk5OTkwoUKKAWLVpo8+bNGj16dLLGsqpVq5bNkKt69erGzBfJ9v4sVjly5NDevXs1duxYlS9fXi4uLsqaNavKlCmjIUOG6OjRo6pTp06S60uKbNmyydfXVz/88IOqVq2qrFmzKlu2bKpYsaLGjx+vvXv3GrOhbPnuu++0cuVK9e3bV1WqVFHhwoXl5OSkTJkyqVSpUvLy8tKePXs0efJkmzN5AAAAAAAAALw4LNFpvav7CyA8PFw5cuTQw4cPNWLECI0dOza9SwLwL3Hx4kUjlL5w4YKKFCmSzhUBAAAAzwe3oRvSu4RUEeTTIr1LAADguZIaz9f4U2sTfvnlFz18+FCSVKNGjXSuBgAAAAAAAAAApBeCFhvOnDmT4LGgoCBjj5MCBQqoSZMmaVUWAAAAAAAAAAB4xjikdwHPotKlS6t58+by9PRU2bJllSVLFl27dk07d+7UtGnTdOfOHUnShAkT5ODALQQAAAAAAAAA4N+KlMCGyMhIrVu3TuvWrbN5PEOGDBo3bpy6deuWxpXheXLq1CmFhYUlu1/+/PmVP3/+VKgIAAAAAAAAAJDSCFpsWLdunTZt2qTff/9dV69e1c2bN+Xs7KzChQvLw8ND/fv3V7ly5dK7TDzjGjdurPPnzye736hRozR69OiULwgAAAAAAAAAkOIIWmzw9PSUp6dnepcBAAAAAAAAAACecQQtQCoJCgpK7xIAAAAAAAAAAKmMoAUAAAAAALzwgnxapHcJAADgBZUhvQsAAAAAAAAAAAB4XhG0AAAAAAAAAAAAmETQAgAAAAAAAAAAYBJBCwAAAAAAAAAAgEkELQAAAAAAAAAAACYRtAAAAAAAAAAAAJhE0AIAAAAAAAAAAGASQQsAAAAAAAAAAIBJBC0AAAAAAAAAAAAmEbQAAAAAAAAAAACYRNACAAAAAAAAAABgEkELAAAAAAAAAACASQQtAAAAAAAAAAAAJhG0AAAAAAAAAAAAmETQAgAAAAAAAAAAYBJBCwAAAAAAAAAAgEkELQAAAAAAAAAAACYRtAAAAAAAAAAAAJhE0AIAAAAAAAAAAGASQQsAAAAAAAAAAIBJBC0AAAAAAAAAAAAmEbQAAAAAAAAAAACYRNACAAAAAAAAAABgEkELAAAAAAAAAACASQQtAAAAAAAAAAAAJhG0AAAAAAAAAAAAmETQAgAAAAAAAAAAYBJBCwAAAAAAAAAAgEkELQAAAAAAAAAAACYRtAAAAAAAAAAAAJhE0AIAAAAAAAAAAGASQQsAAAAAAAAAAIBJBC0AAAAAAAAAAAAmEbQAAAAAAAAAAACYRNACAAAAAAAAAABgEkELAAAAAAAAAACASQQtAAAAAAAAAAAAJhG0AAAAAAAAAAAAmOSQ3gUAAAAAAGCG29AN6V0CkO6CfFqkdwkAAPzrMaMFAAAAAAAAAADAJIIWAAAAAAAAAAAAkwhaAAAAAAAAAAAATCJoAQAAAAAAAAAAMImgBQAAAAAAAAAAwCSCFgAAAAAAAAAAAJMIWgAAAAAAAAAAAEwiaMELZ/To0bJYLLJYLDaPu7m5yWKxyMvL66nO4+vra5zH19f3qcYCAAAAAAAAADyfCFr+JcLDw7VkyRL17NlTZcqUUZ48eeTo6Ki8efOqcuXK6tevn7Zv366oqKj0LhWp4Pr165ozZ4569OihcuXKKVu2bHJyclLBggXVtGlTTZ8+XQ8fPkyVc8+dO9cIpJ58ZcmSRcWLF1f79u21dOlSRUZGpkoNZgUFBcWpt0aNGon2iR30BQUFpX6RAAAAAAAAANIVQcu/wJo1a1S6dGm99dZbmjdvnk6cOKFbt24pIiJCN2/e1OHDhzVt2jQ1atRIZcqU0YYNG9K75HQT+8H63Llz07ucFPHTTz+pUKFCevvttzV//nz9+eefCgkJUXh4uK5evaotW7aob9++qlChgv744480rS00NFRBQUFatWqVOnfurFq1aunq1atpWkNyHDhw4F/97wMAAAAAAABAfA7pXQBS1/jx4zV8+HBFR0dLkho2bKjWrVvrtddeU86cOXXr1i2dPHlS69at07Zt23Tq1CkNHz5cLVq0SOfKU09KzTLw8PAw7uuz7OrVq4qMjJSTk5M8PT3VuHFjlSlTRtmyZdPff/+tn376SVu3btXp06fVsGFDHT58WEWKFEmVWsaNG6fWrVsbP9+/f18HDhzQt99+qwsXLmj//v1q27at9u7dm+DSb+lt5MiRL/S/DwAAAAAAAADJQ9DyAps/f76GDRsmScqXL5+WLl2qevXqxWvXsGFD9e/fX4GBgRowYIBu3ryZ1qUiFWXJkkUff/yxBg8erHz58sU55u7urg4dOmjw4MH69ttvdf36dY0aNUqzZs1KlVoKFy6scuXKxfmsZs2a6tatm6pVq6Zz585p37592rBhgzw9PVOlBrPy5s2rGzdu6PDhw1q9erXatm2b3iUBAAAAAAAAeAawdNgL6vLly+rXr58kKXPmzPL19bUZssRWvnx5bdu2TUOGDEmLEpFGBg4cKB8fn3ghS2zjx49XoUKFJEmrVq1K85k6efPmNUJBSdq0aVOanj8pvLy8lD9/fknSqFGjnovZTAAAAAAAAABSH0HLC2rixIl68OCBJGnMmDF67bXXktQvQ4YM6tatm81je/bsUffu3eXm5iYXFxflzJlT7u7uGjFihK5fv57gmL6+vsa+J76+vpKkZcuWqUGDBsqXL58yZcqkV199Vf/73/9069atRGu8ePGi+vfvrxIlSsjFxUWurq5q1aqVtm/fnqRrdHNzk8VikZeXV5zPLRaLihcvbvzs7e0db/P20aNH270uW0JCQuTj46OaNWsqd+7ccnZ2VpEiRdShQwetX7/ebq0eHh6yWCzy8PCQJF26dEmDBg3SK6+8okyZMilPnjxq0qTJUwcTTk5OeuONNyRJd+7cSZdZTbE3mj9//ny849evX9eIESPk7u6unDlzysXFRW5uburevbv27NmT6Pi//vqr3nrrLRUvXlyZMmVS5syZ5ebmpho1amjIkCH69ddf7fa3zgySpMDAQC1fvjyZVwgAAAAAAADgRcTSYS+g6Oho/fzzz5JiHg737t37qcaLiorShx9+qClTpsT5/PHjxzpy5IiOHDmiyZMna/ny5WrUqJHdsSIjI9W1a1ctWrQozuenTp3S119/rdWrV2v37t0qWLCgzf67du1Sq1atdO/ePeOz4OBgrVu3TuvWrdOYMWNMXmXqCAgIkKenpy5fvhzn80uXLmnlypVauXKl2rVrp4ULF8rFxcXuWHv27FGbNm3ihCCPHj3S1q1btXXrVn399ddPNRvp8ePHxvsMGdI+g3Vw+P//jiIjI+Mc27p1qzp27Bjn9y7FBDLnz5/XggUL1L9/f33//fc2ax80aJAmTpwY73Nr/wMHDmju3Lm6ceOG3Rr79eunCRMmKDg4WKNHj1aHDh3S5V4BAAAAAAAAeHbwhPAFdPz4cWOGSe3atZU9e/anGm/o0KFGyFK8eHFNmzZNfn5+2rlzpwYOHChHR0fdvXtXnp6eOnr0qN2xRo4cqUWLFqlNmzZatWqVDh06pI0bNxqbi585c0YDBw602TcoKEgtW7bUvXv3lCFDBvXt21fbt2/XwYMHNWvWLJUsWVKjRo3Shg0bTF1nYGCgtmzZYvw8btw4BQYGxnm99957SR7v0qVLatCggS5fviyLxSJvb29t2bJF/v7+mjdvnipUqCApZqmunj172h0rODhYbdu2VcaMGeXj46M9e/bIz89P3377rXLmzClJ+uSTT/Tnn38m/8IlhYeHa9++fZKk/PnzK3fu3KbGeRp//PGH8d7V1dV4f+TIEeP37ujoqAEDBmjnzp3y8/PT9OnTjVlIU6ZM0SeffBJv3PXr1xshy3/+8x/9+OOP8vX1VUBAgHx9fTVt2jS1b99ezs7OidaYKVMm4xx//fVXvMAQAAAAAAAAwL8PM1peQLHDjkqVKj3VWIGBgfrmm28kSeXKldPu3buNB/tSzNJWjRs3VosWLRQWFqbevXvrwIEDCY73+++/a9y4cRo+fHicz5s2baqmTZtq69atWrFihb7//vt4e4oMHjxY9+/flyQtWLBAb731lnGsSpUq6tixo2rXri1/f39T11quXDllzZrV+NnWxu3JMWDAAN2+fVuS9NNPP+mdd94xjlWuXFmdOnVSs2bNtHPnTi1btkxeXl5q1qyZzbFOnTqlYsWKae/evSpcuLDxedWqVVW1alXVqVNHERERmjFjhiZNmpTsWmfMmGHM5ujYsWOy+z+tsLAwTZgwwfjZulSaJPXu3VthYWHKmDGj1q9fr8aNGxvHqlatqo4dO6pWrVo6fvy4JkyYoB49eqhs2bJGm2XLlkmScf9i/44lqW7duurTp0+Slq2z1vPVV1/p4sWL+uyzz/TWW28pY8aMZi7bposXL9o9HhwcnGLnAgAAAAAAAPD0mNHyAoq9/FGBAgWeaqwff/xRUVFRkmLCgtghi1XTpk319ttvS5L8/Px08ODBBMerXLlynE3PrSwWiwYNGiRJioiIMGZXWAUHB2vNmjWSJE9Pzzghi1W2bNk0Y8aMpF1YKgsODtbq1aslSU2aNIkTslg5Oztr9uzZxpJZkydPtjvmDz/8ECdksapVq5aqV68uSdq9e3eyaz179qwRfGXNmtXm7ye1hISEaMeOHapfv77xvSlWrJg6deokKe736d13340TsljlypXL+L1HRUVp6tSpcY5fuXJFUkzo+GTIEltSZ/E4Ozsb9+v06dOaN29ekvolVdGiRe2+qlWrlqLnAwAAAAAAAPB0CFpeQNZZH1LMHi1Pw7rB/GuvvRZns/In9erVK14fW7p06SKLxWLzWOXKlY33Z8+ejXNs586dxr4d3t7eCY5frVq1OLMZ0kvsem2FLFZubm7Gvja+vr7x9iaxypkzp7G8mi3We/fkfUtMaGio2rVrp7t370qKCXNiL9uV0ry9vWWxWIxXtmzZ1LBhQ+3du1dSTDC4du1aYxmv2N8le/fxjTfeUJkyZeL1kaRChQpJkn777Tf9/fffKXId77zzjtzc3CRJY8eOVXh4eIqMCwAAAAAAAOD5Q9DyAsqWLZvx/sGDB6bHefz4sU6fPi1JxoyJhLi7u8vR0VGSdOzYsQTblS5dOsFjsWcUxA6LpJglzKyqVq1qt5Zn4S/+Y9+DxO6d9XhoaGiCQUnJkiXtbrpuvXdP3jd7IiIi1LFjR2OpuT59+sjLyyvJ/VPSK6+8Yuwx85///Mf43HofnZyc5O7ubncM6308ffq0wsLCjM979OghSbp586bKlSunzp07a86cOTpz5ozpeh0dHfXpp59Kks6dO6fZs2ebHutJFy5csPvy8/NLsXMBAAAAAAAAeHrs0fICyps3r/H+6tWrpsex7i8iJb4EmaOjo/LkyaMrV67Y3esic+bMCR6LHSQ8ObMjdi358+e3W8vTLpeWEmLfg8TqKViwoM1+sdm7b9L/3zvrMm+JiY6OlpeXlzZu3CgpZl+WJ5fcSg3jxo1T69atJcUsF5cpUybly5cvTjgYm/V+5M6d21hiLSHW+xgdHa3bt28b971BgwaaPHmyPvroIz18+FBLly7V0qVLJcXsw+Pp6al+/fqpQoUKybqWHj16aPz48Tpz5ow+//xzeXl5GTNxnkaRIkWeegwAAAAAAAAAaYcZLS+g2A+MDx8+nCJjJrTcV2zR0dEpcq7Exk6sltSsIzWkR739+/fXwoULJUnNmjXTwoUL7c6YSSmFCxdWuXLlVK5cOZUtW1YlSpRIMGSJ7Wm/f/3791dQUJAmTpyo5s2bK0eOHJKkS5cuafr06XJ3d9eIESOSfiGSHBwcNHLkSEkxs1B++umnZPUHAAAAAAAA8GIgaHkBvfbaa8aslt27d+vevXumxsmVK5fx3rqheEIiIiLizD5IabHHTGyWzrVr11L8/MmVnHpjH0+Ne/ekjz/+WD/++KMkqU6dOlq5cqWx7Nuzxno/bt68qYiICLttrffRYrHE+e5a5c+fXwMGDNCGDRt069YtHTp0SMOHD1fOnDkVHR2tzz//XGvWrElWfV27djWWw/viiy/06NGjZPUHAAAAAAAA8PwjaHkBWSwWY6+NBw8eaObMmabGcXZ2VsmSJSVJBw4csNs2ICDA2BC8XLlyps5nT/ny5Y33Bw8etNs2seP2JGXmRFLEvgeJ3TvrnhuZM2dW8eLFU+T8CRk3bpy++uorSTF73axfv16ZMmVK1XM+Det9DAsLU0BAgN221vtYsmRJOTk52W2bIUMGVapUSePGjdOOHTuMz5ctW5as+jJkyKDRo0dLkoKDg40ACwAAAAAAAMC/B0HLC2rAgAHGvh4jR47UiRMnktQvKipKCxYsMH5u2LChJOn48ePav39/gv1ihznWPimpXr16ypgxoyTp559/TrCdv79/nI3ok8vFxcV4//jxY9PjeHh4GPXOmjUrwXb//POPtm3bZvRJbB+SpzFp0iRjA/fy5ctr8+bNSVq2Kz3F/i7Zu4/79u3T8ePH4/VJikqVKhkzYG7cuJHsGjt16mQEgT4+Pnrw4EGyxwAAAAAAAADw/CJoeUEVLlxYkydPlhQzq6Vu3bratWuX3T7Hjx9XkyZNNGHCBOOzfv36GXt39O7dW3fv3o3Xb+vWrcZD8GrVqqlq1aopdRmGQoUKGZuor1271ubMg5CQEPXu3fupzpMnTx5jNsTff/9tehxXV1e1bdtWkrRlyxbNnj07XpuwsDC9/fbbxkyg999/3/T5EjNnzhwNHDhQklSqVClt27YtTZYpe1qxv08zZ840QqnY7t69qz59+kiKmWHSr1+/OMeXLl2qhw8fJngOf39/3b59W5JMzSiyWCzGrJZr165p7ty5yR4DAAAAAAAAwPMr9f58HunO29tbFy9e1MiRI3Xt2jV5eHiocePGat26tcqUKaOcOXPq1q1bOnXqlDZs2KDNmzcrMjJSFSpUMMYoX768Bg8erK+//lqBgYGqVKmSPv74Y7m7uys0NFTr1q3T999/r8jISDk5OWn69Ompdj3ffPONtm3bpvv376tLly7atWuXOnTooOzZs+uPP/6Qj4+PTp06pSpVqsjf39/UORwcHFS1alXt3btXs2fPlru7uypWrGjsYZI7d+4kBxQTJ07Ujh07dPv2bb377rvau3evOnfurNy5c+vEiROaMGGCjhw5IilmVkSzZs1M1ZyYX375Rb169VJ0dLSyZ8+uSZMm6fr167p+/XqCfYoXL64sWbKkSj3JNWPGDFWvXl1hYWFq0aKFPvjgA7Vs2VJZs2ZVQECAfHx8dPbsWUnSkCFD4i1d9/HHH6tv375q3bq16tSpo1KlSilLliy6efOm9uzZox9++EGSlDFjRvXq1ctUjW3btpW7u7sCAgJMzYoBAAAAAAAA8PwiaHnBffrppypbtqwGDx6soKAgbd26VVu3bk2wfdmyZY09PKysyyFNnTpVZ8+eNWYPxJYjRw4tW7ZMFStWTOlLMLi5uWnt2rVq1aqV7t+/r6lTp2rq1Klx2owaNUqSTActkvTJJ5+oZcuWunnzprp06RJvfOvshcQUKVJEO3bskKenpy5fvqzZs2fbnNnSrl07u8uhPa1ffvlFkZGRkqR79+4lKdDZuXOnPDw8Uq2m5KhYsaLWrVunjh076t69e/r222/17bffxmvXv39/jR8/3uYYd+7c0c8//5zgfXZxcdH06dNVuXJlUzVaLBZ99tlnatmypan+AAAAAAAAAJ5fLB32L9CuXTudPHlSCxcuVLdu3fTqq68qV65ccnBwUO7cuVWpUiW999572rFjhwIDA9W4ceM4/TNkyKApU6bot99+U9euXfXSSy/J2dlZ2bNnV8WKFTVs2DCdPn06Xr/U4OHhoT///FP9+vVTsWLF5OTkpAIFCqhFixbavHlzkkMQe1q0aKEdO3aodevWcnV1NWazmOHu7q6TJ09q/Pjxql69unLmzCknJye5urqqXbt2Wrt2rVauXBlnbxjE17hxY505c0bDhg1TxYoVlT17djk7O+ull15S165dtXv3bk2ePNlY5i623377TTNnztSbb76p8uXLK1++fHJwcFD27NlVqVIlffTRRzp+/Lh69OjxVDV6enqqWrVqTzUGAAAAAAAAgOePJTo6Ojq9iwAAJM3FixdVtGhRSdKFCxdUpEiRdK4IAAAg/bgN3ZDeJQDpLsinRXqXAADAcyU1nq8xowUAAAAAAAAAAMAkghYAAAAAAAAAAACTCFoAAAAAAAAAAABMckjvAgA8ux48eKBz586Z6vvqq6/K0dExhSsCAAAAAAAAgGcLQQuABB08eFD16tUz1ffcuXNyc3NL2YIAAAAAAAAA4BnD0mEAAAAAAAAAAAAmMaMFQII8PDwUHR2d3mUAAAAAAAAAwDOLoAUAAAAA8FwK8mmR3iUAAAAALB0GAAAAAAAAAABgFkELAAAAAAAAAACASQQtAAAAAAAAAAAAJhG0AAAAAAAAAAAAmETQAgAAAAAAAAAAYBJBCwAAAAAAAAAAgEkELQAAAAAAAAAAACYRtAAAAAAAAAAAAJhE0AIAAAAAAAAAAGASQQsAAAAAAAAAAIBJBC0AAAAAAAAAAAAmEbQAAAAAAAAAAACYRNACAAAAAAAAAABgEkELAAAAAAAAAACASQQtAAAAAAAAAAAAJhG0AAAAAAAAAAAAmETQAgAAAAAAAAAAYBJBCwAAAAAAAAAAgEkELQAAAAAAAAAAACYRtAAAAAAAAAAAAJhE0AIAAAAAAAAAAGASQQsAAAAAAAAAAIBJBC0AAAAAAAAAAAAmEbQAAAAAAAAAAACYRNACAAAAAAAAAABgEkELAAAAAAAAAACASQQtAAAAAAAAAAAAJhG0AAAAAAAAAAAAmETQAgAAAAAAAAAAYBJBCwAAAAAAAAAAgEkELQAAAAAAAAAAACYRtAAAAAAAAAAAAJhE0AIAAAAAAAAAAGASQQsAAAAAAAAAAIBJBC0AAAAAAAAAAAAmEbQAAAAAAAAAAACYRNACAAAAAAAAAABgEkELAAAAAAAAAACASQ7pXQAAAAAAPKvchm5I7xIAwK4gnxbpXQIAAP96zGgBAAAAAAAAAAAwiaAFAAAAAAAAAADAJIIWAAAAAAAAAAAAkwhaAAAAAAAAAAAATCJoAQAAAAAAAAAAMImgBQAAAAAAAAAAwCSCFgAAAAAAAAAAAJMIWoAU4OvrK4vFIovFIl9f3/Qu54Xk7e0ti8Wifv36pcr4if0OR48ebRx/UmhoqPLnzy+LxaKdO3emSn0AAAAAAAAAnk0ELS+Q2A+KLRaLsmXLptDQ0ET7PXz4UDly5IjT115Y8ODBA82YMUMtWrRQkSJF5OLioqxZs6pEiRKqWbOm+vbtqyVLlig4ODheXw8PjzjnSe4rKCjoKe4QUlJ4eLiWLFminj17qkyZMsqTJ48cHR2VN29eVa5cWf369dP27dsVFRX11Ofy9/fXzz//LCcnJ33yyScpUH3Kypw5swYNGiRJGjBgQIpcMwAAAAAAAIDnA0HLCywkJES//PJLou3WrFmje/fuJWlMPz8/lStXTn369NHGjRt16dIlPX78WA8ePNC5c+e0f/9+TZ8+XW+99Zbc3d2f8griszWbAGlvzZo1Kl26tN566y3NmzdPJ06c0K1btxQREaGbN2/q8OHDmjZtmho1aqQyZcpow4YNT3W+4cOHKzo6Wt7e3nrppZdS6CpS1vvvv6/cuXPrjz/+0NKlS9O7HAAAAAAAAABpxCG9C0DqcHFx0aNHjzR//nx16dLFbtv58+fH6ZOQM2fOqFGjRkYo06pVK3Xo0EGlSpWSk5OTbty4oaNHj2rbtm0JLp80Z84cPXjwIMnX8dlnn2n58uWSpKZNmz6zD9k9PDwUHR2d3mWkifHjxxvBhyQ1bNhQrVu31muvvaacOXPq1q1bOnnypNatW6dt27bp1KlTGj58uFq0aGHqfAcPHtTWrVslSYMHD06x60hpWbNmVe/eveXj46Nx48bprbfeSu+SAAAAAAAAAKQBgpYXVKtWrbRs2TJt27ZNV65cUcGCBW22u3btmvEQu3Xr1nb/En/48OFGyDJ79mx5e3vHa9OoUSMNGTJE169f17Jly+IdL168eJKvYf369VqxYoUkqWjRolqwYAEzWtLZ/PnzNWzYMElSvnz5tHTpUtWrVy9eu4YNG6p///4KDAzUgAEDdPPmTdPn/O677yRJ1apVU8mSJU2Pkxa6du0qHx8fHT9+XNu3b1fDhg3TuyQAAAAAAAAAqYylw15QjRs3VsGCBRUZGanFixcn2G7x4sWKiIhQgQIF1KhRowTbRUZGav369ZKkKlWq2AxZYsuXL5/69+9vrnhJ58+fV48ePRQdHS1HR0ctXbpUefLkMT0ent7ly5eNjegzZ84sX19fmyFLbOXLl9e2bds0ZMgQU+e8e/euVq5cKUnq1q2bqTHSUrly5VS+fHlJ0qxZs9K5GgAAAAAAAABpgaDlBZUxY0Zj6SLr0mC2zJs3T5LUpUsXZcyYMcF2169fV2hoqCTplVdeScFK4wsLC1PHjh11+/ZtSZKPj49q1qxpt09QUJAGDhyosmXLKlu2bMqcObNKliypPn36KDAw0G5fi8Uii8Wi0aNHS4pZquqtt95SkSJF5OzsrMKFC6t79+7666+/EhzD19fXGMfX1zfecS8vL1ksFrm5uUmS7ty5o5EjR6ps2bLKkiWLcubMqTp16mjhwoV2a7Vau3atmjRporx58ypz5swqVaqUPvroI125ckWS5ObmJovFIi8vrySNlxQTJ040ln0bM2aMXnvttST1y5Ahg+mQZM2aNXr8+LEkqX379nbbnj17Vt98841atmwpNzc3ZcqUSZkyZVKxYsX05ptvavPmzaZqSC5rnWvXrrW7FB8AAAAAAACAFwNBywuse/fukqSAgAD9+eef8Y4fP35chw8fjtM2IU5OTsZ7e4FDShg0aJAOHjwoSWrTpo0GDRpkt/28efNUunRpfffddzp+/LhCQkL08OFDnTlzRjNmzJC7u7vGjx+fpHNPnjxZr7/+upYsWaJLly4pLCxMly9f1oIFC1SlShX99ttvT319J06ckLu7u8aOHavjx48rNDRUd+/e1e7du9WtWze9//77CfaNjo5W37591bp1a23dulU3b97Uw4cPdfr0aU2YMEHu7u4KCAh46hptnffnn3+WJGXJkkW9e/dO8XPYYt3rp2jRonJ1dU2w3blz5/Tyyy9ryJAhWr9+vc6fP69Hjx7p0aNH+ueff7Rs2TI1a9ZM3bt3V0RERKrWXKNGDUlSaGio/Pz8UvVcAAAAAAAAANIfQcsLzN3dXeXKlZNke1aL9bOyZcvK3d3d7li5c+dWsWLFJElHjx7Vl19+qaioqBSuWFq6dKmmTJkiKWY/lzlz5thtv2HDBnl5eenx48fKmjWrRo0apd27d2vfvn365ptvlDdvXkVGRmrYsGH68ccf7Y61ZcsWffjhhypbtqxmz56tgwcP6rffftPAgQOVIUMGhYaGqnv37goLCzN9faGhoWrVqpVu3rypESNGyNfXV/7+/vrpp59UpEgRSdKUKVO0ZcsWm/19fHw0ffp0SVKRIkU0efJkHThwQL/99puGDx+uu3fvqkOHDsbso5Ry/PhxXb9+XZJUu3ZtZc+ePUXHT8ju3bslSVWrVrXbLjIyUk5OTmrZsqW+//57bd++XYcPH9b27ds1depUlS1bVpK0YMECjR07NlVrrlatmvHeWj8AAAAAAACAF5dDeheA1NW9e3d9/PHHWrhwob744gtlyBCTrUVHRxvLVCU2m8Xqgw8+MPbaGDp0qH788Ue1bNlSNWvWVPXq1fXyyy8/Va0nT55Ur169JEnOzs5avny5cubMmWD78PBw9enTR9HR0cqaNat2796tihUrGsdr1Kih9u3bq2bNmgoODtaQIUPUsWNH5c2b1+Z4+/fvV/PmzbV69eo4M3hq166tPHnyaMSIEfrnn3+0YcMGtW3b1tQ1Xr9+XeHh4dq3b5/x8F+SKleuLA8PD5UvX16PHj3S1KlT1aRJkzh9g4OD9dlnn0mSSpQooX379il//vxx6mzevLnq1av3VGGQLUePHjXeV6pUKUXHTsi1a9f0999/S1KiQWChQoUUFBSkQoUKxTvWoEED9e3bV2+//bbmzp2rb775RoMGDVKOHDlSpe5cuXKpePHiOnfunH7//fdk97948aLd48HBwWZLAwAAAAAAAJAKmNHyguvatasyZMigixcvateuXcbnvr6+unDhgjJkyKCuXbsmaayBAwfq7bffNn4+f/68Jk+erK5du+qVV15RwYIF1blzZ61bt07R0dHJqjM0NFQdOnTQ/fv3JUnffvutKleubLfP6tWrdenSJUnS8OHD44QsVsWKFdPXX39tnMPeDBkXFxfNmTMnTshi9eGHHxqfP+0shc8++yxOyGL1yiuvqE2bNgme4+effzb2/Jg4cWKckMXq9ddfV//+/Z+qPltu3LhhvC9QoECKj29L7MDB1rXGliVLFpshi5XFYtE333yjjBkz6sGDB9q+fXuK1WmLtd7EQhNbihYtavcVe8YMAAAAAAAAgPRH0PKCK1y4sOrVqycp7vJh1vceHh7GklWJyZAhg2bNmqVNmzapUaNGxuwYq6tXr2rp0qVq1aqVqlWrZsxGSIr33ntPx44dkyS9+eabeu+99xLtY31YbrFY4gRAT+rYsaMxe8HeA/ZGjRol+EA/W7ZsKlmypKSYTdfNslgs6tKlS4LHreHS7du3defOnTjHduzYIUnKkyePWrRokeAYPXr0MF1fQqwBmBQTaqQF61JlUswskeQIDw/XxYsX9ddff+nYsWM6duyYLl++rDx58kiKO0MnNeTOnVtS3GsAAAAAAAAA8GJi6bB/gR49emjHjh1asWKFsf/JypUrJSV92bDYmjZtqqZNm+r27dvau3ev/P39dejQIe3evVt3796VJPn7+6t27do6dOiQ3ZkGkjRr1ixjo/VSpUrpp59+SlId1mDGzc3N7owHJycnubu7y9fX1+hjS+nSpe2ez/rwPHbokFx58+Y1HvbbO4f1PLGXTrPWXrFiRWXMmDHBMcqXLy9nZ2c9fvzYdJ1PypYtm/H+wYMHKTauPbdu3TLeJyVoCQ8P14wZMzR//nwFBATYXT4t9gyd1GCt9+bNm8nue+HCBbvHg4ODmdUCAAAAAAAAPEMIWv4F2rVrp379+un+/ftas2aNoqOjde/ePWXKlEnt27c3PW6uXLnk6ekpT09PSdLjx4+1aNEiDR48WLdv31ZwcLA+/fRTzZw5M8Exjh49qvfff1+SlClTJq1YsSLOQ317rA/ik7KUVcGCBeP0sSVz5sx2x7DO4ImMjExSfU9zDlvnuX37tqTEl9HKmDGjcuXKpStXrpisMr7Y+9pcvXo1xca1x8XFxXj/8OFDu21v3bqlxo0b69ChQ0kaO7HxnpZ1/EyZMiW7b1JnmAEAAAAAAAB4NrB02L9A1qxZjc3b58+fbywb1qZNmySHGknh7Owsb29vLV682Phs1apVioqKstn+3r176tixo7HvyOTJk1W+fPlkn9disSTaJrl7xiCuChUqGO8PHz6cJufMly+f8d5eQCZJ//3vf42QpU2bNlq7dq2CgoIUGhqqqKgoRUdHKzo6WkWLFpWU+t8Ha72xrwEAAAAAAADAi4mg5V/Cum/H1q1btW3bNknmlg1LiiZNmhgPtG/fvp3g8knvvPOOTp8+LUny8vKyu8+KLdZltpIyc8M6CyP20lzPG+tyVNeuXbPbLjIy0pj9klJee+01Y1bL7t27de/evRQd35bYIYW967l3756WLl0qSerSpYtWr16tli1bqlixYsqUKVOcIC6l70tCrOchaAEAAAAAAABefAQt/xINGjRQoUKFFBERoYiICBUoUECNGzdOtfO5uroa72Mvh2U1adIkrVixQpJUrlw5Y++Y5ChXrpwkKSgoyG74EB4eroCAgDh9nkdly5aVJB05csTu8mWBgYEpuj+LFDNryMvLS1LMHi32loNLKS+//LKx1NqpU6cSbHf69GmFh4dLkjp37pxgu5MnTyokJCRli7QhKipKZ8+elSRTM7QAAAAAAAAAPF8IWv4lMmbMqO7du8vZ2VnOzs7q1q2b3Q3Vn0ZoaKiOHz8uScqePXu8WST79+/XRx99JClmWbMVK1YkuneJLQ0bNpQUswzU7NmzE2y3YsUK3b17N06f51GDBg0kxWywvmHDhgTbzZs3L1XOP2DAAOP3NHLkSJ04cSJJ/aKiorRgwYJkn8/BwUE1atSQJB08eDDBdhEREcb70NDQBNtNmzYt2TWYcfz4cSPQqV27dpqcEwAAAAAAAED6IWj5F/nyyy/16NEjPXr0SBMmTEhW35CQEFWvXl3r169PcM8VKeah+gcffKD79+9Lklq1ahVn6aabN2+qU6dOxgyEGTNm6NVXXzVxNVLbtm2NmTNffPGFjh49Gq/NhQsXNGTIEEkxG9F7e3ubOtezoGfPnnJ2dpYkDRw4UNevX4/XZt++faZmByVF4cKFNXnyZEkxs1rq1q2rXbt22e1z/PhxNWnSJNnfNytrUPHHH38kOEvnlVdeMb5jCYVM69ev1w8//GCqhuTy8/Mz3hO0AAAAAAAAAC8+h/QuAM8PPz8/tWzZUoULF1abNm1Us2ZNFStWTNmyZdOdO3cUEBCg2bNnKzAwUJKUI0cOjR071ugfHR2t7t2768KFC5Kkpk2bqnz58jp27FiSayhSpIhy5swpSXJ0dNSMGTPUsmVL3b9/X7Vq1dJHH32kBg0ayMHBQb///rt8fHyMZcUmTJhg7DPyPHJ1ddWoUaM0bNgwnT17VpUrV9bQoUNVtWpVPX78WFu2bNE333wjV1dXPXjwQNevX48TcqUEb29vXbx4USNHjtS1a9fk4eGhxo0bq3Xr1ipTpoxy5sypW7du6dSpU9qwYYM2b96syMhIVahQwdT5WrRooTFjxigsLEy7d++2OSMpT548at68uTZs2KCNGzeqadOm6tOnj1566SVdu3ZNK1eu1Ny5c1WiRAnduXPHZkCVknbs2CEpZl+bYsWKpeq5AAAAAAAAAKQ/ghYkiYODgwoWLKgrV67o0qVLmjJlit2ZEyVLltTixYvl5uZmfPbPP/9o06ZNxs+bN2/W5s2bk1XHnDlzjL1CpJgH8XPmzFGfPn0UEhKiUaNGadSoUXH6ZMyYUWPHjlW/fv2Sda5n0dChQ3X+/HlNnz5dFy5cUP/+/eMcz5s3r5YvX6527dpJklxcXFK8hk8//VRly5bV4MGDFRQUpK1bt2rr1q0Jti9btqy++uorU+eqWrWqSpcurRMnTmjRokUJLv32448/qlatWvrnn3+0ZcsWbdmyJc7xl156Sb/88ouaN29uqo6kCg0N1Zo1ayRJ3bt3T9VzAQAAAAAAAHg2sHQYksTFxUWXLl3S3r17NWbMGDVr1kwlSpRQlixZlDFjRmXPnl2lS5fWm2++qUWLFunYsWOqXLlynDGio6NTpbaePXvqxIkT+u9//6syZcooS5YsypQpk15++WX16tVLAQEB+uSTT1Ll3GnNYrFo2rRpWrNmjRo3bqzcuXPLxcVFr7zyij788EMFBASoSpUqunfvnqSYWUWpoV27djp58qQWLlyobt266dVXX1WuXLnk4OCg3Llzq1KlSnrvvfe0Y8cOBQYGqnHjxqbP9d5770mSVq5cqUePHtlsU7RoUR0+fFgfffSRSpUqJWdnZ+XIkUMVKlTQqFGjdOTIEb322muma0iqNWvW6MGDB3J2dtY777yT6ucDAAAAAAAAkP4s0an19BtAurh48aKKFi0qSZo5c+Zz/8A/JCREbm5uunnzpubPn69u3bqld0kJatiwoXbs2KFevXppxowZqXKO2L/fCxcuqEiRIqlyHgAAEMNt6Ib0LgEA7AryaZHeJQAA8FxJjedrzGgBXjCLFy823teoUSMdK0kZWbNm1f/+9z9J0ueff66oqKh0rsi2/fv3a8eOHXJyctLw4cPTuxwAAAAAAAAAaYSgBXiOPHjwQMHBwQkeDwgI0NixYyVJlStXVtmyZdOqtFT14YcfqlixYjpx4oSWLVuW3uXYNGbMGEnSBx98oGLFiqVzNQAAAAAAAADSikN6FwAg6a5fv64yZcqoTZs2atq0qV599VU5Ozvr8uXL2rx5s2bNmqWHDx/KYrHo22+/Te9yU4yLi4sWLFig7du3KyIiIr3LiSc0NFQ1atRQjRo1NHDgwPQuBwAAAAAAAEAaImgBnjOPHj3SkiVLtGTJEpvHnZyc9NNPP6lOnTrGZ+Hh4Tp58qSp8xUvXlxZsmQx1Tcl1apVS7Vq1UrvMmzKnDmzRo0ald5lAAAAAAAAAEgHBC3Ac6Rw4cJaunSpNm3aJH9/f127dk23b99W5syZ5ebmpoYNG9pcuurSpUsqX768qXPu3LlTHh4eKVA9AAAAAAAAALx4CFqA54ijo6M6deqkTp06pXcpAAAAAAAAAAARtAD/Cm5uboqOjk7vMgAAAAAAAADghUPQAgAAAAAJCPJpkd4lAAAAAHjGZUjvAgAAAAAAAAAAAJ5XBC0AAAAAAAAAAAAmEbQAAAAAAAAAAACYRNACAAAAAAAAAABgEkELAAAAAAAAAACASQQtAAAAAAAAAAAAJhG0AAAAAAAAAAAAmETQAgAAAAAAAAAAYBJBCwAAAAAAAAAAgEkELQAAAAAAAAAAACYRtAAAAAAAAAAAAJhE0AIAAAAAAAAAAGASQQsAAAAAAAAAAIBJBC0AAAAAAAAAAAAmEbQAAAAAAAAAAACYRNACAAAAAAAAAABgEkELAAAAAAAAAACASQQtAAAAAAAAAAAAJhG0AAAAAAAAAAAAmETQAgAAAAAAAAAAYBJBCwAAAAAAAAAAgEkELQAAAAAAAAAAACYRtAAAAAAAAAAAAJhE0AIAAAAAAAAAAGASQQsAAAAAAAAAAIBJBC0AAAAAAAAAAAAmEbQAAAAAAAAAAACYRNACAAAAAAAAAABgEkELAAAAAAAAAACASQQtAAAAAAAAAAAAJhG0AAAAAAAAAAAAmETQAgAAAAAAAAAAYBJBCwAAAAAAAAAAgEkELQAAAAAAAAAAACYRtAAAAAAAAAAAAJhE0AIAAAAAAAAAAGASQQsAAAAAAAAAAIBJBC0AAAAAAAAAAAAmOaR3AQAAPMlt6Ib0LgEAAAB4LgT5tEjvEgAA+NdjRgsAAAAAAAAAAIBJBC0AAAAAAAAAAAAmEbQAAAAAAAAAAACYRNACAAAAAAAAAABgEkELAAAAAAAAAACASQQtAAAAAAAAAAAAJhG0AAAAAAAAAAAAmETQgufasWPH1K1bNxUtWlROTk6yWCyyWCw6cuRIepeWKtzc3GSxWOTl5ZXepSToWa/Ry8tLFotFbm5uNo8/6/UDAAAAAAAAeLYQtPyL+Pr6GkHEk69MmTKpSJEiatasmaZOnaqQkJD0LjdRhw4dUrVq1bRw4UJdvHhR4eHh8dpYH6pbX++8806Sxl64cGGcfgk9lH8RRUdHa926derbt6/Kly+v/Pnzy9HRUblz51b58uX19ttv65dffrF5v1PL3LlzE/zuJvXl4eGRZvUCAAAAAAAA+PcgaIEk6dGjR7p06ZI2b96s/v37q1y5cjp69Gh6l2XXJ598oocPHyp79uyaOnWq/Pz8FBgYqMDAQJUuXdpmnxUrVujhw4eJjj1//vyULjdBHh4ez0wQsGfPHrm7u6tVq1aaPn26jh07puvXrysiIkK3b9/WsWPHNGfOHLVt21Zubm6aO3duepcMAAAAAAAAAOnKIb0LQPro16+f3nvvPePnGzdu6OTJk/r222916tQpnT9/Xs2aNdPJkyeVLVu2dKzUtvDwcO3atUuS1Lt3b/Xr1y/RPi4uLrp3757Wrl2rN998M8F2V65c0fbt240+jx49Spmin3Hz58/XO++8Y8xUqV69utq3b6+KFSsqT548unv3rv7++29t3LhRGzZs0OXLlzVgwIA0WWKrTZs2qlKlis1jly9fVpMmTSRJrVu31rhx42y2y5Ili6SY2TEERAAAAAAAAABSCkHLv1T+/PlVrly5OJ95eHjI29tbzZo106+//qrg4GDNmDFDgwcPTqcqE3bjxg2FhYVJkkqVKpWkPq1atdKyZcs0f/58u0HLokWLFBkZKVdXV7388svavXt3itT8LPP19ZW3t7ciIyOVOXNmzZkzR506dYrXrl69enr33XcVFBSkjz/+WFu2bEmT+nLmzKmcOXPaPJY1a9Y47Z78XgMAAAAAAABAamLpMMTh5OSk0aNHGz9v27Yt/Yqx4/Hjx8Z7R0fHJPXp0aOHJGnLli26du1agu2sy4Z16dJFGTK8+P9EHj58qK5duyoyMlIZMmTQunXrbIYssbm5uWnp0qWaNGlSGlUJAAAAAAAAAM+mF/8pMpKtUqVKxvsLFy7YbBMVFaUFCxaoefPmKliwoJycnJQvXz7Vq1dPU6dONWab2BMWFqapU6eqXr16ypcvn5ycnFSwYEE1b95cCxYsUFRUVLw+o0ePlsViUfHixY3PvL2942x6Hjsoiq1JkybKnz+/IiIitGTJEpttjh07piNHjkiSunfvnqRrWLdund5//31VrVpVuXLlkqOjo/LkyaPq1atr9OjRunHjhs2+Xl5eslgsxhJou3btireBu5ubW6I1PK3Zs2fr8uXLkmKWlKtfv36S+/bs2TPJbdu1ayeLxaJcuXIluhxbRESEChYsKIvFosaNGyf5HElhve9Pe28vXryoTz75RJUqVVKuXLnk4uKil156SW+++aZ27tyZMsUCAAAAAAAAeOYRtCCejBkzGu8dHOKvLnfr1i3VqVNH3bt316ZNm3T16lWFh4frxo0b8vX1Vf/+/VWxYkWdP38+wXOcP39eFStWVP/+/eXr66sbN24oPDxcV69e1aZNm9S9e3fVrVtXt27dSrHrcnBwUOfOnSUlvNn9vHnzJEn/+c9/9J///CfRMXv37q1WrVppypQp8vf31507dxQREaFbt27Jz89PY8aMUenSpbV3794Uu46UNmfOHEmSxWLRgAEDUu087777riTpzp07+uWXX+y23bhxo65evSpJevvtt1OtJrNmzZqlUqVKycfHRwEBAbpz544eP36sCxcuaNmyZapfv77effddRUREpHepAAAAAAAAAFIZQQviOX78uPH+yb/6j4yMlKenpxEc1K1bV8uXL5e/v7/Wrl2rNm3aSJL++usvNWjQQCEhIfHGDwkJUf369fXXX39JitnofO3atfL399fy5ctVt25dSdKePXvk6empyMhIo+97772nwMDAOHuDjBs3ToGBgcbrvffeS/DarLNU/P39deLEiTjHoqKitGjRojjtEhMREaESJUpo8ODBWrp0qfbt26eDBw9qxYoV6tu3r5ycnP6vvfuPr7H+/zj+3E8bwzYzYctiyXwpsZRU2/xKG33yoxL9UolKpZB+ieU2H5M+VEJqUVL6MZUsJUIJrahYoZBQirFsMzOz6/vHbrs645zZuXbO2abH/XY7t9v12fW+3q/35bNX5+x6nff7rUOHDqlfv36nLVeWkpKiLVu2mJu8x8bGlruPLVu2aPny5ZUah1W5ubnmDJ4LLrhA0dHRbovVu3dvRUZGSvqnuONI2fmQkBD169fPbWOy4tVXX9Vdd92lY8eOqV27dnrhhRe0du1abdq0Senp6UpMTJRUWowZN25cNY8WAAAAAAAAgLudPl0B/3rTpk0zjwcOHFju3Jw5c7R+/XpJpXuezJ8/X15eXpKkTp06qW/fvnriiSc0efJk7dy5U5MmTVJqamq5PpKTk7Vr1y5J0pNPPqlJkyaZ5zp16qQBAwbolltu0cKFC7V+/XrNnTtX99xzjyQpPDxc4eHh5TZAb968eaU3QI+NjVVMTIy2bt2qBQsWKCUlxTz3+eef6/fff5e3t7cGDx5cqf6Sk5PVsmVL89/ANs6AAQN077336vLLL9fBgwf1wgsvlLvX5s2bq3nz5qpXr54kqV69eh7fyD0rK8ssZNkuGecO3t7eGjp0qJ5++mmtWLFCe/fuNQsvtg4cOKCMjAxJ0pAhQ1SnTh23jssZe/fu1f333y+pdNm0V155pdysr4svvlj9+/c3c2DGjBkaPny4WrduXekY+/btq/D8/v37rQ0eAAAAAAAAgFswowWSpEOHDmnt2rVKTEzUW2+9JUnq0qWLudRWmRdffFGSFBYWppkzZ55WYJCkp59+Wm3atJEkvfzyy+U2rj9+/LheeeUVSVLbtm3t7qfi5eWlWbNmqVGjRpKkmTNnVv0GbZTNVlm4cKEMwzB/XracWPfu3dWsWbNK9dWqVSu7/wZl2rdvby6ZdablsqqD7f4xTZo0cXu8O+64Q97e3iopKTGXaTvVG2+8oRMnTpjta5LnnntOBQUFatasmebMmWN3aT2ptADXvHnzCu/TkcjIyApfnTt3dsWtAAAAAAAAAHARCi3/UsnJyeU2XQ8LC9OVV16pZcuWydfXVzfffLM++eQT+fn5mdf88ccf5nJfN9xwg+rXr2+3bx8fHw0dOlSSlJOTo02bNpnnNm7cqL///ltS6abktvvB2GrQoIFuuOEGSaVLmbnyW/w333yzvLy89Ntvv+nLL7+UJBUUFGjx4sWSKr9smD05OTnauXOnfvzxR2VlZSkrK0vBwcGSSu+jrIBQU+Tl5ZnHZTNr3KlFixbq0aOHJGn+/Pl225QtG9ahQwddfPHFbh+TMz788ENJUt++fRUQEOCwna+vr7p06SJJ5gwwAAAAAAAAAGcnCi04TevWrfXII4+oQYMG5X6elZVlHl966aUV9mF73vY6V/RRVZGRkYqPj5f0zyyWxYsXKz8/X/Xq1VP//v2d6m/Lli2644471LRpU4WGhio6Olrt2rVT+/bt1b59e3PWTklJiXJyclx2H65gWyw7evSoR2KWzfDZsWOHWegq8+2335r/X9e02SxHjhzRjh07JEkvvfRSuUKlvdd7770nSfrzzz+dirN3794KX5mZmS6/NwAAAAAAAADWUWj5l7rnnnvMDde/++47ZWRkaPjw4fLz89NPP/2k+Ph4bd++vdw1hw8fNo/PtMzUOeecY/c6V/ThCmWzVt59910VFhaaBZd+/fo5NbMjLS1NHTt21Lx58yr1QP3YsWPWBuwmYWFh5vFff/3lkZj/+c9/1LhxY0n/zF4p8+qrr0qS6tSpoyFDhnhkPJV14MABS9cVFBQ41T4iIqLCV9OmTS2NAwAAAAAAAIB7UGj5lwoPD1e7du3Url07dejQQYmJiZozZ47ef/99eXt76/Dhwxo8eLC5UfqpKtqXRFK5vU8ccUUfVg0cOFCBgYE6cuSI5s6dq5UrV0pybtmwbdu2acSIESouLlZ4eLieeeYZbdy4UYcOHVJRUZEMw5BhGEpLSzOvcec9WdGuXTtz+TbbJd7cyd/fX7feequk0kJXfn6+JKmwsFCLFi2SJF133XUKDQ31yHgqyzYXRo0aZRYqz/T69NNPq3HUAAAAAAAAANyNQgvKSUpK0ogRIySVPni33UfD9sH3mWZv2M6OsL3OFX24Qv369XXddddJksaNG6eTJ0+qadOm6t69e6X7mD9/voqLi+Xj46PVq1drzJgx6tixo0JDQ8vtbVPTlguz1aBBA3Xo0EGStH37dnNpLHcrWz4sPz/fXGLrgw8+MP+tatqyYZLUqFEj87igoMAsVJ7p1bp162ocNQAAAAAAAAB3o9CC00yYMMFcPis5OVlFRUWSSmc/lPn6668r7MN2Hwnb61zRh6uUzV4pLCyUJA0ePNic3VEZP/74oyTpoosuUkxMjMN23377bYX9nGlmj7sNHTpUUulsm+eff94jMdu0aaOuXbtK+mf5sLJlw84991z16NHDI+NwRuPGjdW8eXNJ0ooVK2rc7CQAAAAAAAAA1YNCC04THh6u4cOHSyrdmPu1116TJDVr1swsKLz77rvKy8uze/3JkyfNmTAhISHq2LGjea5Tp04KDg6WJL322msOlybLy8vTO++8I0lq27atW/al6NWrlyIjI1WnTh3VqVPHqWXDJKm4uFhSxXtw/Pnnn/rwww8r7CcgIECSdPz4cafiu8rQoUPN/XBefPFFrVmzptLXvv7665bjDhs2TJL0xRdfaNWqVebybbfffru8vWvmf5quvfZaSdKuXbvMmTgAAAAAAAAA/t1q5tNMVLuxY8eaBYApU6aYBZH77rtPknTw4EHdf//9dr/Vn5ycrJ9++klS6cP0OnXqmOfq1KljLhv1448/Kjk5+bTrDcPQyJEjlZ2dLUkaOXKkC+/sHz4+PtqzZ48KCwtVWFioiy66yKnrzz//fEnSzz//rA0bNpx2vqCgQIMHD9axY8cq7KesiLRr165qmSVRt25dvfHGG/L29lZJSYmSkpKUnp5e4TV79uzRoEGD9MADD1iOe/3116thw4aSSmcTlZSUyMvLy5xhUxONHTvW/H0eMWLEGWcrffzxx9q8ebMnhgYAAAAAAACgmlBogV3nnHOO7rzzTkmlBYA333xTUunD5S5dukgqnZHSrVs3vffee9q0aZMyMjI0YMAATZo0SZLUqlUrjR8//rS+n3rqKbVs2VKSNGnSJPXv319Lly7Vpk2blJ6erm7dupkzJbp06aK7777b7fdrRdkMmJKSEiUmJmrKlCn64osvlJmZqdmzZ6tDhw5atWqVuUSWI5dffrkk6cCBA3r44Ye1ceNG7dixQzt27NBvv/3m9vuQpO7du+uVV16Rn5+fjh49qoEDB6pLly569tlntXLlSn333XdavXq1Xn31Vd1www1q3bq13n777SrFrFu3rm666SZJ/+zXk5CQoKioqKrejtucd955mjNnjiTp8OHD6tq1q+666y598MEH2rRpkzIzM7V48WI9+uijio6OVlJSkvbs2VPNowYAAAAAAADgTr7VPQDUXOPGjdPLL7+soqIiTZ48WUOGDJGPj4+WLl2qa6+9Vl999ZVWr16t1atXn3ZtTEyMli1bpqCgoNPO1a9fXytXrtQ111yjbdu26f3339f7779/WruuXbtqyZIlTu2b4kmXXHKJkpOTNWHCBOXk5Oixxx47rc3o0aPVrl07ffXVVw77GTRokP773/9q165dmjFjhmbMmGGea9GihXbv3u2G0Z9u6NChatmypUaOHKmsrCxt2LDB7kydMueee66mTJlSpZh33XWXWbiQZBb3arLbb79dgYGBuvvuu5Wbm6u0tDSlpaXZbevt7W3udwQAAAAAAADg7MSMFjgUGRmp2267TZK0bds2czmp0NBQffHFF1qwYIF69+6tJk2ayM/PT40aNVJ8fLxmzpyp77//Xi1atHDYd1RUlH744QfNnDlTcXFxatSokfz8/NSkSRP17t1bCxYs0BdffKHQ0FCP3KtVTz31lDIyMtSrVy+FhITI399fERER6t+/v5YvX65p06adsY+goCCtW7dODz74oGJiYlS3bl0PjNy+uLg4/fDDD/rwww81bNgw/d///Z/CwsLk6+ur4OBgtWvXTnfccYc+/PBD7dy505yRYlWnTp3Utm1bSVJwcLD69+/vittwuxtvvFG7d+/WlClTFB8fr/DwcPn5+alu3bpq2bKl+vbtq//973/avXu3EhISqnu4AAAAAAAAANzIy6iOTSEAQFJeXp7OOeccFRQU6J577tGsWbOqe0g13r59+xQZGSlJ2rt3ryIiIqp5RO4R9WhGdQ8BAAAAqBV2T0mq7iEAAFCruOP5GjNaAFSbRYsWqaCgQFLtWDYMAAAAAAAAAE5FoQVAtTh58qSmT58uqXQJsU6dOlXziAAAAAAAAADAeb7VPQAA/x6HDx/W4cOHdejQIc2YMUNbt26VJD322GPVPDIAAAAAAAAAsIZCC1DLZWVlWbouIiJCwcHBrh3MGTz//PNKTk4u97OkpCQNGDDAo+MAAAAAAAAAAFeh0ALUcu3bt7d03bx583T77be7djCV5OvrqxYtWuimm25iNgsAAAAAAACAWo1CCwCPmThxoiZOnFjdwwAAAAAAAAAAl6HQAtRyhmFU9xAAAAAAAAAA4F+LQgsAoMbZPSWpuocAAAAAAAAAVIp3dQ8AAAAAAAAAAACgtqLQAgAAAAAAAAAAYBGFFgAAAAAAAAAAAIsotAAAAAAAAAAAAFhEoQUAAAAAAAAAAMAiCi0AAAAAAAAAAAAWUWgBAAAAAAAAAACwiEILAAAAAAAAAACARRRaAAAAAAAAAAAALKLQAgAAAAAAAAAAYBGFFgAAAAAAAAAAAIsotAAAAAAAAAAAAFhEoQUAAAAAAAAAAMAiCi0AAAAAAAAAAAAWUWgBAAAAAAAAAACwiEILAAAAAAAAAACARRRaAAAAAAAAAAAALPKt7gEAACqvuLjYPN6/f381jgQAAAAAAACofWyfqdk+a6sKCi0AUIscPHjQPO7cuXM1jgQAAAAAAACo3Q4ePKioqKgq98PSYQAAAAAAAAAAABZ5GYZhVPcgAACVU1hYqC1btkiSGjduLF9fJiaieuzfv9+cVZWZmammTZtW84iAmot8ASqPfAEqj3wBKo98ASrv35AvxcXF5qox7du3V0BAQJX75AkdANQiAQEBuuSSS6p7GEA5TZs2VURERHUPA6gVyBeg8sgXoPLIF6DyyBeg8s7mfHHFcmG2WDoMAAAAAAAAAADAIgotAAAAAAAAAAAAFlFoAQAAAAAAAAAAsIhCCwAAAAAAAAAAgEUUWgAAAAAAAAAAACyi0AIAAAAAAAAAAGARhRYAAAAAAAAAAACLvAzDMKp7EAAAAAAAAAAAALURM1oAAAAAAAAAAAAsotACAAAAAAAAAABgEYUWAAAAAAAAAAAAiyi0AAAAAAAAAAAAWEShBQAAAAAAAAAAwCIKLQAAAAAAAAAAABZRaAEAAAAAAAAAALCIQgsAAAAAAAAAAIBFFFoAAAAAAAAAAAAsotACAADOqKCgQM8884w6d+6s0NBQBQUFKSYmRmPGjNGePXtcHm/r1q0aO3asLrzwQoWEhCgwMFBRUVHq0aOHJk+erN27d7s8JuAqns6XMiUlJerSpYu8vLzMF1DTuTtfiouL9dlnn2ns2LG68sor1bhxY/n5+Sk4OFgdO3bUmDFjtHPnThfcCWDdnj17NGbMGMXExKhevXoKDQ1V586dNW3aNBUUFLgszqJFi3T11VeradOmCggIUFRUlG655RZt2LDBZTEAd3NnvuTm5mrRokUaNmyYOnbsqODgYPn7+6tx48aKj4/XtGnT9Pfff7vmRgAP8NT7i639+/crODjY/HskPj7eLXFqIi/DMIzqHgQAAKi5du7cqaSkJG3fvt3u+YYNG+rNN99UYmJilWMZhqHx48crNTVVxcXFDttNnz5do0aNqnI8wNU8mS+nmjlzpu6///5yP+OjPmoyd+fLwYMHFRMTo0OHDlXYzt/fX1OnTtWDDz5oKQ5QFRkZGRoyZIiOHDli9/wFF1ygjz/+WC1btrQco7CwUNdff72WLl1q97y3t7cmTpyo8ePHW44BeII782XZsmXq16+fjh8/XmG7Jk2a6K233lJCQoLTMQBP8sT7iz0DBw5Uenq6+b/j4uK0evVql8aoqZjRAgAAHMrPz1efPn3Mh2DDhg3TypUrtW7dOqWkpCgoKEhHjhzR9ddfr82bN1c53t13362UlBQVFxfroosu0vPPP681a9YoMzNT6enpmjRpki666CK+qY8aydP5Yuv333/XE088IS8vL4WFhbm0b8AdPJEvx48fN4ssHTp00IQJE/Txxx9r48aN+vzzzzV27FgFBASoqKhIo0aN0ty5c112f0Bl/PDDD7rhhht05MgRBQUFKSUlRevWrdPKlSs1bNgwSdL27duVlJSk/Px8y3HuvPNOs8iSkJCgDz74QJmZmUpLS1OrVq1UUlKip556Sq+88opL7gtwB3fny6FDh3T8+HF5e3vr6quv1vTp0/X5559r06ZNWrJkiW688UZJ0l9//aU+ffro+++/d+XtAS7lqfeXU3300UdKT09XeHi4y/qsVQwAAAAHJkyYYEgyJBlTp0497fy6desMX19fQ5KRkJBQpVhpaWlmrFGjRhknT5502Pb48eNVigW4gyfz5VTXXXedIcm44447jLi4OHMcQE3liXzZt2+f0bNnT2P9+vUO22zYsMEIDAw0JBkNGzY0cnNzLcUCrIiPjzckGb6+vsa6detOOz916lQzT5KTky3FWL16tdlH3759jeLi4nLnDx48aJx77rmGJCMkJMTIycmxFAdwN3fny6JFi4zhw4cbv/32m8M2zz//vBmjW7duTscAPMUT7y+nysvLMyIjIw1Jxuuvv272HxcX55L+awP++gIAAHYVFRUZwcHBhiQjJibGYeFj+PDh5oeob7/91lKs3NxcIyQkxJBkxMfHV2XYQLXwZL6cKj093ZBkhIWFGdnZ2RRaUONVZ77YM3r0aDPO4sWL3RYHsJWZmWn+3g0fPtxum5MnTxoxMTFmEaSoqMjpOImJiYYkw8fHx9i7d6/dNm+99ZY5lmnTpjkdA3A3T+VLZcTGxhqSDG9vbyM7O9stMYCqqK58uf/++8t9QebfWGhh6TAAAGDX6tWrzc0eb7vtNnl72//YcPvtt5vHixcvthRr4cKFysnJkSRNnDjRUh9AdfJkvtjKzc3VAw88IEl65pln1KhRoyr3CbhbdeWLI7br7O/cudNtcQBbH3zwgXk8dOhQu228vb116623SpJycnKcXuM+Pz9fK1eulCT17NlTERERdtv1799fDRo0kOTeXAOs8kS+VFbZxt4lJSX69ddf3RIDqIrqyJfMzEy9+OKL8vf31+zZs6vUV21GoQUAANj15ZdfmsdxcXEO28XGxqpevXqSpLVr11qK9e6770qSwsPDzViGYejPP//Uzp07XbpuLOAOnswXW48++qh+//13XXXVVeUeSgM1WXXliyO2Gx87KvoArlaWB/Xq1VOnTp0ctrPNEWfzIDMz0/z9rijX/P39ddlll5nXnDhxwqk4gLt5Il8qi/cM1HSezpfi4mLdfffdKikp0bhx43TBBRdY7qu2478IAADArq1bt5rHbdq0cdjO19dXrVq1Ou2ayiopKdE333wjSbrssstUVFSk5ORkNW/eXE2bNlV0dLQaNGig2NhYLViwQIZhOB0DcDdP5Yut9evX66WXXpKfn9+/+ptjqH2qI18qsmbNmkqNB3Clst/p6Oho+fr6Omxn+zvpbB5UNtdszxcXF+uXX35xKg7gbp7Il8oqe8/w9fVVdHS0W2IAVeHpfJk2bZp++OEHtWrVSo8//rjlfs4GFFoAAIBde/fulVT6TZjg4OAK20ZGRkqSDh48WO5bXpWNk5eXJ6l0RstVV12liRMnav/+/WYbwzC0ceNG3XrrrRo0aJCKi4udigG4m6fypcyJEyfMb46NGTNGbdu2tdQPUB08nS8V2b9/v+bNmydJCgsLK7eMGOAuhYWFys7OliSHy3mVCQkJMWd2leVOZdm2P1OcslyzEgdwJ0/lS2VkZGRo8+bNkqSrr77aXHIPqCk8nS+7du3S008/LUmaNWuWAgICLPVztqDQAgAA7CorfgQFBZ2xbdkHNElOL/N1+PBh83jBggX6+uuvFRMTo6VLlyovL095eXn66KOPzCnI77zzjp588kmnYgDu5ql8KZOamqqsrCydd955Gj9+vKU+gOri6XxxxDAMjRgxwhzP+PHjFRgY6NIYgD1lv3OSc3ngbA44E8eduQZUhafy5UwOHz6s++67T5Lk4+OjSZMmubR/wBU8nS/Dhw/XsWPHdOONN6pXr16W+jibUGgBAAB2FRYWSipdt/tM6tSpYx4fO3bMqThHjx41j48fP67IyEitXbtWSUlJCgoKUlBQkPr06aO1a9eqWbNmkqTp06fr999/dyoO4E6eyhdJ+uWXX5SSkiJJmjlzJg+GUet4Ml8qMnnyZC1ZskSSlJCQoJEjR7q0f8CRshyQnMsDZ3PAmTjuzDWgKjyVLxU5efKkhgwZot9++02S9OSTT+riiy92Wf+Aq3gyX15//XWtWLFCDRo00PTp052+/mxEoQUAgFquuLhYXl5eVX7Nnz+/XL9l036LiorOOAbb5Vycfeh76vTiJ554QqGhoae1CwsLM9d8LSoq0uLFi52KA0i1P1+k0m+OFRYWasCAAUpMTHT6eqCyzoZ8cWThwoXmbLCoqCi9+eabbGoMj7H97ONMHlTlM9aZ4rgr14Cq8lS+VOTee+/VJ598IklKSkpiNjFqLE/lS3Z2tkaPHi1JSklJUdOmTZ26/mzFJ0kAAGBX/fr1JVVuGrHtrJTKTFG2F6fMNddc47Dt1VdfbR5/8803TsUB3MlT+fLqq69q1apVql+/vp577jnnBgnUEJ7KF0cyMjI0dOhQGYahJk2a6LPPPtM555zjkr6ByrD97ONMHlTlM9aZ4rgj1wBX8FS+OPLYY49p7ty5kqQrrrhC7777rnx8fFzSN+BqnsqXhx9+WNnZ2YqNjdW9997r3CDPYr7VPQAAAFA1vr6+2rp1a5X7OfVbKBEREfr666919OhR/f333xVuWFy2eV7jxo3LLT1RGREREfLy8pJhGJKk5s2bO2xru1HrgQMHnIoDSLU/X1JTUyVJcXFx+vLLL+22sc2NRYsWSSpdf7lv375OxQJqe77Ys3r1ag0cOFAnTpxQSEiIli9frujo6Cr3CzgjICBAYWFhys7O1r59+ypsm5OTYz4Is/0cVBm2GyHv27dPsbGxDtvaboTsbBzAnTyVL/akpqZqypQpkqSOHTtq6dKlzPhCjeaJfPnjjz+0YMECSVK3bt30zjvvVNj+wIED5t8k5513ni699NJKx6ptKLQAAHAWaNOmjcv7bNu2rdLT0yVJ27Zt02WXXWa3XXFxsXbu3ClJiomJcTpOvXr11KJFC+3evVuSVFJS4vBbYidPnjSPfX35GANranO+lE3vX7p0qZYuXXrG9jfddJMkqUWLFhRaYEltzpdTZWZmqm/fviosLFRQUJCWLVumCy+8sMr9AlbExMToyy+/1I4dO1RcXOzwc822bdvKXeOMtm3b2u2noji+vr4UH1HjeCJfTjVr1iw9+uijZl+ffvqpGjZsWKU+AU9wd77YLkk2derUM7bfunWr+TfJbbfddlYXWlg6DAAA2HXFFVeYx2vWrHHY7ttvvzW/CdO1a1dLsa666irzuOyhmj225yqa+QJ4mifzBajtqiNfNm/erN69eys/P18BAQH66KOPzuo/9FHzleXB0aNHtXHjRoftbHPE2Ty45JJLzM2QK8q1oqIibdiw4bRrgJrCE/lia8GCBRo5cqQkqWXLllqxYoXCwsIs9wd4kqfzBf+g0AIAAOyKj483v7X12muvmUt7ncp2k+N+/fpZijVgwADzuKJN7m3PXXnllZZiAe7gqXzZvXu3DMOo8BUXF2e2L/tZ2YwxoCbw5PuLJP3888/q1auXcnJy5Ofnp/T0dMXHx1vuD3CF6667zjyeN2+e3TYlJSV6/fXXJUnBwcFKSEhwKkb9+vXVvXt3SdKKFSscLiOzePFi5ebmSqpargHu4ol8KbN48WJzH6+IiAitXLlSzZo1s9QXUB3cnS9RUVFn/HvE9rNdXFyc+TPbz3ZnIwotAADALn9/fz3wwAOSSqf7Tps27bQ269evV1pamqTSD1CXXHLJaW12794tLy8veXl5OXyw1adPH7Vr105S6VrI27dvP62N7RgaN26s/v37W7ovwB08mS9AbefJfNmzZ4969Oihv/76Sz4+PnrzzTeVmJjoupsBLOrcubP5pZG0tDStX7/+tDbPPvusuU/Sgw8+KD8/v3Ln58+fb+bAxIkT7cYZM2aMpNKl+O67775yy7BKUnZ2tsaNGyep9GHbXXfdVaX7AtzBU/myfPly3XTTTTp58qTCw8O1YsUKRUVFufReAHfzVL7gdCxuDgAAHBo7dqzefvtt/fzzz3rkkUe0Y8cODRo0SIGBgVq1apUmT56s4uJiBQYGasaMGZbjeHt7a/bs2erevbtyc3N1+eWXa9y4cea3X9asWaPU1FTl5+dLkl544QXVrVvXRXcJuIan8gU4G3giXw4dOqQePXqYm3yPHj1abdq0UVZWlsNrQkJCWJoSHvPcc8+pa9euOnbsmHr16qXHH39cCQkJOnbsmBYtWqS5c+dKklq3bq3Ro0dbitGtWzcNGjRIixYt0pIlS9SzZ0+NGjVKzZo105YtW5SSkqI9e/ZIkqZMmaKQkBCX3R/gSu7Olw0bNqhfv34qKiqSn5+fpk+frhMnTlT4nhEREaHg4GCrtwS4jSfeX2CHAQAAUIFffvnFOP/88w1Jdl8NGjQwPvroI4fX//rrr2bbuLi4CmO99957Rv369R3G8vPzM2bPnu3iOwRcx5P54khcXJzZB1CTuTtfVq1a5bBvR6/bbrvNfTcM2LFkyRKjQYMGDn8nW7dubfzyyy92r503b57ZbsKECQ5jFBQUGImJiQ5jeHt7V3g9UFO4M18mTJjg9HvGvHnz3HvDQBV44v2lIlX9m6z/4fMAAAH8SURBVKY2YukwAABQoejoaH333XdKTU1VbGysgoODVbduXV1wwQV66KGHtHnzZvXp08clsQYMGKCsrCyNGTNGMTExCgoKMmPdd999+umnnzRixAiXxALcwZP5AtR25Asg9e3bV5s3b9ZDDz2k1q1bq27dugoODlZsbKxSU1P13XffKTo6ukoxAgMDlZGRoYULF6pnz54KDw+Xv7+/IiMjNXjwYK1du5alYVAreCJfgLMF+eJ5XobhYOdBAAAAAAAAAAAAVIgZLQAAAAAAAAAAABZRaAEAAAAAAAAAALCIQgsAAAAAAAAAAIBFFFoAAAAAAAAAAAAsotACAAAAAAAAAABgEYUWAAAAAAAAAAAAiyi0AAAAAAAAAAAAWEShBQAAAAAAAAAAwCIKLQAAAAAAAAAAABZRaAEAAAAAAAAAALCIQgsAAAAAAAAAAIBFFFoAAAAAAAAAAAAsotACAAAAAAAAAABgEYUWAAAAAAAAAAAAiyi0AAAAAAAAAAAAWEShBQAAAAAAAAAAwCIKLQAAAAAAAAAAABZRaAEAAAAAAAAAALCIQgsAAAAAAAAAAIBFFFoAAAAAAAAAAAAsotACAAAAAAAAAABgEYUWAAAAAAAAAAAAiyi0AAAAAAAAAAAAWEShBQAAAAAAAAAAwCIKLQAAAAAAAAAAABb9P17uwRTPXqIvAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 800x1000 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 835,
       "width": 813
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "matplotlib.rcParams['figure.figsize'] = (8.0, 10.0)\n",
    "imp_coef.plot(kind = \"barh\")\n",
    "plt.title(\"Coefficients in the Lasso Model\")"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The most important positive feature is `GrLivArea` -  the above ground area by area square feet. This definitely make sense. Then a few other  location and quality features contributed positively. Some of the negative features make less sense and would be worth looking into more - it seems like they might come from unbalanced categorical variables.\n",
    "\n",
    "Also note that unlike the feature importance you'd get from a random forest these are _actual_ coefficients in your model - so you can say precisely why the predicted price is what it is. The only issue here is that we log_transformed both the target and the numeric features so the actual magnitudes are a bit hard to interpret and also the relationship is now multiplicative not additive. "
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "let's look at the residuals as well:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='preds', ylabel='residuals'>"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 600x600 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 525,
       "width": 547
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "matplotlib.rcParams['figure.figsize'] = (6.0, 6.0)\n",
    "\n",
    "preds = pd.DataFrame({\"preds\":model_lasso.predict(X_train), \"true\":y})\n",
    "preds[\"residuals\"] = preds[\"true\"] - preds[\"preds\"]\n",
    "preds.plot(x = \"preds\", y = \"residuals\",kind = \"scatter\")"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The residual plot looks pretty good.To wrap it up let's predict on the test set and submit on the leaderboard:"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Adding an xgboost model:"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's add an xgboost model to our linear model to see if we can improve our score:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "import xgboost as xgb"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "dtrain = xgb.DMatrix(X_train, label = y)\n",
    "dtest = xgb.DMatrix(X_test)\n",
    "\n",
    "params = {\"max_depth\":2, \"eta\":0.1}\n",
    "model = xgb.cv(params, dtrain,  num_boost_round=500, early_stopping_rounds=100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 600x600 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 511,
       "width": 516
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "model.loc[30:,[\"test-rmse-mean\", \"train-rmse-mean\"]].plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>#sk-container-id-2 {color: black;background-color: white;}#sk-container-id-2 pre{padding: 0;}#sk-container-id-2 div.sk-toggleable {background-color: white;}#sk-container-id-2 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-2 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-2 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-2 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-2 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-2 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-2 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-2 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-2 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-2 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-2 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-2 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-2 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-2 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-2 div.sk-item {position: relative;z-index: 1;}#sk-container-id-2 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-2 div.sk-item::before, #sk-container-id-2 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-2 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-2 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-2 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-2 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-2 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-2 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-2 div.sk-label-container {text-align: center;}#sk-container-id-2 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-2 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-2\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>XGBRegressor(base_score=None, booster=None, callbacks=None,\n",
       "             colsample_bylevel=None, colsample_bynode=None,\n",
       "             colsample_bytree=None, early_stopping_rounds=None,\n",
       "             enable_categorical=False, eval_metric=None, feature_types=None,\n",
       "             gamma=None, gpu_id=None, grow_policy=None, importance_type=None,\n",
       "             interaction_constraints=None, learning_rate=0.1, max_bin=None,\n",
       "             max_cat_threshold=None, max_cat_to_onehot=None,\n",
       "             max_delta_step=None, max_depth=2, max_leaves=None,\n",
       "             min_child_weight=None, missing=nan, monotone_constraints=None,\n",
       "             n_estimators=360, n_jobs=None, num_parallel_tree=None,\n",
       "             predictor=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-2\" type=\"checkbox\" checked><label for=\"sk-estimator-id-2\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">XGBRegressor</label><div class=\"sk-toggleable__content\"><pre>XGBRegressor(base_score=None, booster=None, callbacks=None,\n",
       "             colsample_bylevel=None, colsample_bynode=None,\n",
       "             colsample_bytree=None, early_stopping_rounds=None,\n",
       "             enable_categorical=False, eval_metric=None, feature_types=None,\n",
       "             gamma=None, gpu_id=None, grow_policy=None, importance_type=None,\n",
       "             interaction_constraints=None, learning_rate=0.1, max_bin=None,\n",
       "             max_cat_threshold=None, max_cat_to_onehot=None,\n",
       "             max_delta_step=None, max_depth=2, max_leaves=None,\n",
       "             min_child_weight=None, missing=nan, monotone_constraints=None,\n",
       "             n_estimators=360, n_jobs=None, num_parallel_tree=None,\n",
       "             predictor=None, random_state=None, ...)</pre></div></div></div></div></div>"
      ],
      "text/plain": [
       "XGBRegressor(base_score=None, booster=None, callbacks=None,\n",
       "             colsample_bylevel=None, colsample_bynode=None,\n",
       "             colsample_bytree=None, early_stopping_rounds=None,\n",
       "             enable_categorical=False, eval_metric=None, feature_types=None,\n",
       "             gamma=None, gpu_id=None, grow_policy=None, importance_type=None,\n",
       "             interaction_constraints=None, learning_rate=0.1, max_bin=None,\n",
       "             max_cat_threshold=None, max_cat_to_onehot=None,\n",
       "             max_delta_step=None, max_depth=2, max_leaves=None,\n",
       "             min_child_weight=None, missing=nan, monotone_constraints=None,\n",
       "             n_estimators=360, n_jobs=None, num_parallel_tree=None,\n",
       "             predictor=None, random_state=None, ...)"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model_xgb = xgb.XGBRegressor(n_estimators=360, max_depth=2, learning_rate=0.1) #the params were tuned using xgb.cv\n",
    "model_xgb.fit(X_train, y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "xgb_preds = np.expm1(model_xgb.predict(X_test))\n",
    "lasso_preds = np.expm1(model_lasso.predict(X_test))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='xgb', ylabel='lasso'>"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 600x600 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 525,
       "width": 567
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "predictions = pd.DataFrame({\"xgb\":xgb_preds, \"lasso\":lasso_preds})\n",
    "predictions.plot(x = \"xgb\", y = \"lasso\", kind = \"scatter\")"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Many times it makes sense to take a weighted average of uncorrelated results - this usually imporoves the score although in this case it doesn't help that much. Here we will just do a weighted average based on some randomly picked value. We could also do a CV grid search here as well."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "preds = 0.7*lasso_preds + 0.3*xgb_preds"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can save it by following codes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "solution = pd.DataFrame({\"id\":test.Id, \"SalePrice\":preds})\n",
    "solution.to_csv(\"ridge_sol.csv\", index = False)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Acknowledgments\n",
    "\n",
    "Thanks to Alexandru Papiu for creating the open-source project [Regularized Linear Models](https://www.kaggle.com/code/apapiu/regularized-linear-models). It inspires the majority of the content in this chapter."
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "base",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.12"
  },
  "orig_nbformat": 4
 },
 "nbformat": 4,
 "nbformat_minor": 2
}