03_MODEL_BUILDING.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "767f896d",
   "metadata": {},
   "source": [
    "# Machine Learning Algorithm Analysis\n",
    "\n",
    "The dataset from WiDS was analyzed using the following unsupervised and supervised methods to predict the energy use of buildings:\n",
    "\n",
    "1. t-SNE (t-distributed stochastic neighbor embedding)\n",
    "2. K Means Clustering\n",
    "3. Random Forest\n",
    "4. XGBoost\n",
    "5. CatBoost - for non-encoded categorical data in a dataset\n",
    "\n",
    "The results in RMSE are displayed in the table below, but in general, the CatBoost algorithm was most performant, with RMSE scores in the high 20's.  KNN Regressor was the least performant, with RMSE scores between 45 - 46, depending on tuning and cross-validation settings.  Random Forest was more performant than KNN with scores around 45.  XGBoost with some tuning scored a RMSE around 39.  The CatBoost performed better than XGBoost.  \n",
    "\n",
    "Based on the initial analysis using unsupervised learning, both the t-SNE and K Means showed that the clusters were not cleanly separating, even though there was eventual separation in the clusters, the clusters were not as tightly packed.  This suggests that the data, even when reduced to two factors does not explain the majority of the variation in the data.  The pre-processed dataset that was used for unsupervised learning already had feature reduction techniques applied, but due to the distribution of clusters from both analyses, I further processed the data and dropped additional fields.  I believe the variance is due to the one-hot-encoded categorical variable for 'facility-type'.  There were 60 facility types listed, making for a large number of features added once it was one-hot-encoded.  Furthermore, there were additional categorical fields that were also one-hot-encoded, but their features were not as numerous.\n",
    "\n",
    "Therefore, the initial pre-processed dataset (called train) was analyzed using the various techniques mentioned, but a second dataset was also used that had more features dropped (called energy_df), as a comparison and also as a means to reduce error (lower RMSE) in the model and make better predictions.\n",
    "\n",
    "Over and under-fitting of the models was analyzed in each model run, and overall, the KNN and Random Forest had less variation between train and test than the XGBoost.  Although XGBoost was more performant, the model overfit the data by a substantial amount. As a result, I decided that CatBoost might be helpful.  Since the large number of encoded categorical variables nearly doubled the variable count, I thought that CatBoost could handle the categorical variables better (they don't need to be encoded to go into the model).  Indeed, CatBoost was more performant, I achieved an **RMSE of 28.95** but it came at a cost of over-fitting (train was more performant than test): In R2 vales, CatBoost wouldn't output RMSE on model.score -- train: 0.70, test: 0.44.\n",
    "\n",
    "### Over/underfitting results:\n",
    "\n",
    "#### KNN\n",
    "- Grid training set score after tuning: 43.78\n",
    "- Grid test set score after tuning: 47.78\n",
    "\n",
    "#### Random Forest\n",
    "- Grid training set score after tuning: 31.03\n",
    "- Grid test set score after tuning: 47.17\n",
    "\n",
    "#### XGBoost\n",
    "- Grid training set score after tuning: 8.29\n",
    "- Grid test set score after tuning: 39.19\n",
    "\n",
    "#### CatBoost (in R2 not RMSE)\n",
    "- Grid training set score after tuning: 0.7059\n",
    "- Grid test set score after tuning: 0.440\n",
    "\n",
    "In conclusion, the original dataset from WiDS, by itself, does not have enough explanatory power and creates models with higher error or overfitted models.  Even with pre-processing the data still create a model with what I consider mediocre predictive power.  However, on the leaderboard for the competition the best performing teams, which are professional data scientists from international universities scored an RMSE around 18.  I have reviewed the documentation from previous WiDS competitions and it seems that the competitors usually create many new variables from a combined set of variables from the data.  I'm unclear of what the best approach is when combining variables, but I did attempt to do so when I created temperatures from the median for the monthly reported min, max and averages, then summed these values.  This was my feature reduction technique, reduction of colinearity, and creating new information.  I've seen models where they will combine categorical data with numeric, but I'm not clear on the technique they use to make the best judgements about these combinations.  However, I see that they test many of the new variables and drop any that do not provide additional gains for the model.  These will be next steps for this analysis and for other datathons/competitions for me in the future.  I am also looking forward to the final results of the competition to see how others carried out this specific analysis and to learn from their methodology.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c00ee693",
   "metadata": {},
   "source": [
    "## Overview of Supervised Model Outcomes"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4625eb1e",
   "metadata": {},
   "source": [
    "|Model||dataset||Unique Characteristics||Validation RMSE|\n",
    "|---:||---:||---:||:---|\n",
    "|KNN||train||80% PCA, tuned neighbors(23), standardized, cv=2||46.78|\n",
    "|KNN||train||95% PCA, tuned neighbors(23), standardized, cv=2||46.38|\n",
    "|KNN||train||95% PCA, tuned neighbors(19), normalized,standardized, cv=2||46.40|\n",
    "|KNN||energy||no PCA, tuned neighbors(19), normalized,standardized, cv=2||46.40|\n",
    "|KNN||energy||no PCA, tuned neighbors(23), normalized,standardized, cv=2||46.57|\n",
    "|KNN||train||no PCA, tuned neighbors(21), normalized,standardized, cv=4||46.00|\n",
    "|KNN||train||no PCA, tuned neighbors(23), normalized,standardized, cv=10||45.76|\n",
    "|Random Forest||train||95% PCA, tuned, standardized, cv=2||45.06|\n",
    "|XGBoost||train||no PCA, tuned, standardized, cv=4||39.28|\n",
    "|XGBoost||train||no PCA, tuned, normalized, cv=4||39.44|\n",
    "|CatBoost||train-categorical||no PCA, minmaxScaler,standardized, iterations||39.15|\n",
    "|CatBoost||energy-categorical||no PCA, minmaxScaler,normalized, iterations=1000,learning_rate=0.5||**28.95**|\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "162f7158",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "from sklearn.preprocessing import StandardScaler, normalize, Normalizer, PowerTransformer, MinMaxScaler\n",
    "from sklearn.linear_model import LinearRegression, LassoCV\n",
    "from sklearn.metrics import mean_squared_error as MSE\n",
    "from sklearn.metrics import mean_absolute_error, r2_score\n",
    "from sklearn.neighbors import KNeighborsRegressor\n",
    "from sklearn.feature_selection import RFE\n",
    "from sklearn.ensemble import GradientBoostingRegressor, RandomForestRegressor, BaggingRegressor\n",
    "from sklearn.tree import DecisionTreeRegressor,ExtraTreeRegressor\n",
    "from sklearn.manifold import TSNE\n",
    "from sklearn.svm import LinearSVC\n",
    "from sklearn.tree import DecisionTreeClassifier\n",
    "from sklearn.model_selection import train_test_split, GridSearchCV, RandomizedSearchCV\n",
    "from sklearn.cluster import KMeans\n",
    "from sklearn.discriminant_analysis import LinearDiscriminantAnalysis\n",
    "\n",
    "from sklearn.decomposition import PCA\n",
    "from sklearn.pipeline import Pipeline\n",
    "from xgboost import XGBRegressor\n",
    "from catboost import CatBoostRegressor\n",
    "import lightgbm as lgb #LGBMRegressor()\n",
    "\n",
    "import warnings\n",
    "warnings.simplefilter(\"ignore\", UserWarning)\n",
    "warnings.simplefilter(action=\"ignore\", category=FutureWarning)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "13c0694a",
   "metadata": {},
   "source": [
    "### Import preprocessed data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "f120d7ba",
   "metadata": {},
   "outputs": [],
   "source": [
    "#import preprocessed data\n",
    "train = pd.read_csv('train_preprocessed.csv')\n",
    "test = pd.read_csv('test_preprocessed.csv')\n",
    "\n",
    "energy_df = pd.read_csv('energy_prepared.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9fedf62a",
   "metadata": {},
   "source": [
    "# Unsupervised Learning Techniques\n",
    "-------------"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "017588d4",
   "metadata": {},
   "source": [
    "### t-SNE (t-distributed stochastic neighbor embedding)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a852a454",
   "metadata": {},
   "source": [
    "There are 90+ features in the dataset. A clustering algorithm was used to better understand the data.  It takes the high dimensionality of the dataset and reduces it for visualization, but still retains much of the original information.  This will help compare features across the 2D distribution.\n",
    "\n",
    "Results:  After running the t-SNE, it is clear that the data are very disparate, and do not form clean clusters.  I've since gone back and preprocessed a bit more, removing about 30 additional features, many of them are categorical encoded features, which were not included in the original t-SNE, so there won't be an additional t-SNE model run with the newer data.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "e56d7b11",
   "metadata": {},
   "outputs": [],
   "source": [
    "#pull in categorical data prior to one-hot-encoding to use in 'hue' coloring in SNS graphs\n",
    "orig_categorical = pd.read_csv('train_before_ohe.csv')\n",
    "categorical_df = pd.DataFrame(orig_categorical[['Year_Factor','State_Factor', \n",
    "                                                'building_class', 'facility_type']])\n",
    "\n",
    "\n",
    "def create_tsne():\n",
    "    '''Create t-SNE model'''\n",
    "    #scale the data\n",
    "    sc = StandardScaler()\n",
    "    scaled_tsne = sc.fit_transform(train)\n",
    "    print('working on create_tsne now...')\n",
    "    m = TSNE(perplexity=400, n_iter=3000, early_exaggeration=12, verbose=0) \n",
    "    #fit/transform tsne model\n",
    "    tsne_features = m.fit_transform(scaled_tsne)\n",
    "    #features = tsne_features\n",
    "    tsne_add_categorical(tsne_features)\n",
    "    #return tsne_features and get reduction size\n",
    "    print(tsne_features.shape)\n",
    "    \n",
    "def tsne_add_categorical(features):    \n",
    "    '''add categorical data to the tsne features created in function create_tsne'''\n",
    "    # add categorical data to tsne data\n",
    "    #features = create_tsne(tsne_features)\n",
    "    tsne_df = pd.DataFrame(features,columns=['feature_1','feature_2']) #call other function\n",
    "    tsne_all = tsne_df.join(categorical_df)\n",
    "    #data = tsne_all\n",
    "    tsne_graph(tsne_all) #was data\n",
    "    print('completed tsne_add_categorical function...')\n",
    "    \n",
    "\n",
    "def tsne_graph(data):\n",
    "    '''create seaborn joint plot of the t-SNE results and overlay categorical data as hue'''\n",
    "    sns.jointplot(data=data,x='feature_1', y='feature_2', hue='State_Factor',height=10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "49425688",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "working on create_tsne now...\n",
      "completed tsne_add_categorical function...\n",
      "(75747, 2)\n"
     ]
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 720x720 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "create_tsne()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "0e97c6d8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.JointGrid at 0x1e6c83f51d0>"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "building_class = sns.jointplot(data=tsne_all,x=\"feature_1\", y=\"feature_2\", hue='building_class',height=10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "3810dca2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "year_factor = sns.jointplot(data=tsne_all,x=\"feature_1\", y=\"feature_2\", hue='Year_Factor',height=10)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c688a683",
   "metadata": {},
   "source": [
    "## K Means Clustering\n",
    "\n",
    "Since the t-SNE method did not bring as much clarity to the dataset as I expected, I ran a K Means clustering usng PCA to see how the clusters separated with this method.  Again, it was not suprising that the clusters aren't very clear, although better than t-SNE, it does mean the the data doesn't generalize well.\n",
    "\n",
    "I ran the KMeans with the originally pre-processed dataset (train) and the explained variance was low, so I ran the KMeans again with a dataset that was processed with additional fields dropped (energy_df) to see how it impacted the explained variance.  The result was a minor increases in the PCA components.\n",
    "\n",
    "- Train dataset: Explained variance ratio (first two components): [0.11163842 0.07694902]\n",
    "- energy_df dataset: Explained variance ratio (first two components): [0.11664989 0.08000834]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "db9aabe2",
   "metadata": {},
   "outputs": [],
   "source": [
    "def kmeans_pca(df):\n",
    "    '''Run K means with PCA'''\n",
    "    X = df.drop(['site_eui'],axis=1)\n",
    "    y = df['site_eui']\n",
    "    #scale data\n",
    "    sc = StandardScaler()\n",
    "    X = sc.fit_transform(X)\n",
    "    #kmeans\n",
    "    kmeans = KMeans(n_clusters=5,random_state=44)\n",
    "    kmeans = kmeans.fit(X)\n",
    "    kmeans.labels_\n",
    "    # \"predictions\" for new data\n",
    "    predictions = kmeans.predict(X)\n",
    "    # calculating the Counts of the cluster\n",
    "    unique, counts = np.unique(predictions, return_counts=True)\n",
    "    counts = counts.reshape(1,5)\n",
    "    # Creating a dataframe\n",
    "    countscldf = pd.DataFrame(counts, columns = [\"Cluster 0\",\"Cluster 1\",\"Cluster 2\", \"Cluster 3\",\"Cluster 4\"])\n",
    "    \n",
    "    y_num = predictions\n",
    "    \n",
    "    target_names = [\"Cluster 0\",\"Cluster 1\",\"Cluster 2\", \"Cluster 3\",\"Cluster 4\"]\n",
    "\n",
    "    pca = PCA(n_components=2, random_state = 44)\n",
    "    X_pca = pca.fit(X).transform(X)\n",
    "    \n",
    "    # Percentage of variance explained for each components\n",
    "    print('Explained variance ratio (first two components): %s' % str(pca.explained_variance_ratio_))\n",
    "\n",
    "    # Plotting the data\n",
    "    plt.figure()\n",
    "    plt.figure(figsize=(12,8))\n",
    "    colors = ['navy', 'turquoise', 'darkorange', 'red', 'black']\n",
    "    lw = 2\n",
    "    for color, i, target_name in zip(colors, [0, 1, 2, 3, 4], target_names):\n",
    "        plt.scatter(X_pca[y_num == i, 0], X_pca[y_num == i, 1], color=color, alpha=.8, lw=lw,label=target_name)\n",
    "\n",
    "    plt.legend(loc='best', shadow=False, scatterpoints=1)\n",
    "    plt.legend(bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0.6)   \n",
    "    plt.title('PCA of 2 Items')\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "95a6e7aa",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Explained variance ratio (first two components): [0.11163842 0.07694902]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#call function\n",
    "kmeans_pca(train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "f0a174ba",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Explained variance ratio (first two components): [0.11664989 0.08000834]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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RojLfY1OnTq0HgEOHDul8j6WlpQ3NysoK2bBhQwEAJCUlxf/6178unT59eu2sWbNisrOzQ4QQ8o477igfOXKke//+/cFz5swZbTAYlKysrO/27NkT9Nhjj1nsdrsqPDzc88Ybb+SPGjXKPWXKlLFTpkyxffXVV8brr7++6plnnvEHO1FRUZ6oqCjPhx9+OLizvzMGQO3wlb62Wq0wmUwQQvhLX5vNZpa+JiIiIqI+4VQUkVZRbCnwOIO9Ugq9EN4aqWjrpKJJqyi2vDAsLlevUnW4IWp2dnbQ+PHj7Z2d186dO4NPnDihPXLkyAEAKC8vV0dERHhffvll8/LlywuvuOIKu9PpFCkpKSMzMjJyIyMjPa+++mr4ggULot555518AKiqqlLv2rXrUGfn0BYGQO3wlb6urKxEXl4ejEYjbDYbS18TERERUZ/6sr4m9JTXrfNKKUxqjbPxg3pPmdejP+V1676srwm9MmRwrzdIPf/8852FhYX6u+++2zJz5szqG2+88Yw5ZGdn648cORI0bdq084CGZXcmk8m/3u22226r6Kn5cQ9QO/R6PVatWoXExESYzWaWviYiIiKis4K1cdmbXghv060aeiG8bkiV1evWtXOJFo0bN65+3759we2N02g0UlEU/89Op1MFACaTybt///6cpKSk2pdeesk8e/bsmNPPlVKK+Pj4+oMHD+YcPHgw5/Dhwznbt28/4jseGhqqnH5Od2EAFICEhASkp6dj5cqV+N3vfoeVK1ciPT0dCQkJfT01IiIiIhqgzGqtSwuhOKVUS9mw0k1KCaeUai2EYlZrXZ257syZM2tdLpd44YUXInyPffbZZ8EZGRnGpuPi4uJcBw4cCPZ6vcjNzdVmZ2eHAMCJEyc0Xq8Xc+fOrVq6dGnxt99+GwwARqPRW11drQaAxMRER0VFheaTTz4JAQCn0ymysrIMnfpFdBCXwAVIr9dj+vTpfT0NIiIiIiIAwA+CwmrfqSlz1UlFU+b16PVCeJ1SqtVCyKFqresHQWG1nbmuSqXC5s2bjz700EOWlStXDtfr9TI6Otq5evXqwqbjrrnmGtuLL77oHDt27IVjx46tT0hIsANAfn6+dt68eTFKYzW6JUuWFAHAnDlzyh9++OFRCxcuVLKysr7btGnT0ZSUlJG1tbVqr9crHnzwwdJJkya1WbihoKBAM3ny5IS6ujq1EEL+9a9/Hfbdd9/tHzJkSMAZI+GLFs8GkyZNkllZWX09DSIiIiI6xwkhdkspJ/X1PFqyb9++/PHjx5cHMralKnBD1douVYE7F+zbty9i/PjxMS0dYwaIiIiIiKifOk8f7HhhWFzul/U1oVavW2duzPx0pvrbQMEAiIiIiIioH9OrVLIvqr31VyyCQEREREREAwYDICIiIiIiGjAYABERERER0YDBAIiIiIiIiAYMBkBERERERNRMQUGBZsaMGaMtFstFcXFxF1555ZXx2dnZ+kOHDunGjBlzYWeumZaWNjQ/P1/blXm9/PLLQ84777yE8847L+Hiiy8+f+fOnUEdvQarwBERERER9Wduu8Cx9FDYinUItbgw+oZaaII6XQZbURQkJyfH33777afS09OPAcCOHTuCSkpKtLGxsa7OXnfjxo0REyZMqI+JiXEHeo7b7YZW+33MFB8f79y+ffshk8nk/cc//hH2wAMPjMrOzj7YkXkwACIiIiIi6q9KdxuwLcUCW4kOXqcKar2C3StcmJZWiGETO9UINT09PVSj0chFixaV+R6bOnVqPQAcOnRI53ssLS1taFZWVsiGDRsKACApKSn+17/+den06dNrZ82aFZOdnR0ihJB33HFH+ciRI9379+8PnjNnzmiDwaBkZWV9t2fPnqDHHnvMYrfbVeHh4Z433ngjf9SoUe4pU6aMnTJliu2rr74yXn/99VXPPPNMqe+e11xzTZ3v+6SkpLr58+f75xMoBkBERERERP2Rp15gW4oFFQeDoXgENMFeOCq0cNVosC3Fgls+ye1MJig7Ozto/Pjx9s5Oa+fOncEnTpzQHjly5AAAlJeXqyMiIrwvv/yyefny5YVXXHGF3el0ipSUlJEZGRm5kZGRnldffTV8wYIFUe+8804+AFRVVal37dp1qK37rF69OiIpKam6o/PrcgAkhLAA2ABgOAAFwCtSylVCiCEA3gYQAyAfwK1Sysqu3o+IiIiIiAAcywiFrUQHxSNgjHZCCEAO8cBWpIetRIdjGaE47+Zeb5B6/vnnOwsLC/V33323ZebMmdU33njjGXPIzs7WHzlyJGjatGnnAQ3L7kwmk39p3G233VbR1j0++uij0I0bN0bs2LGjQ8vfgO4pguAB8Gsp5QUAfgDgV0KIBACPA/hUSjkGwKeNPxMRERERUXeoLWxY9qYJ9kKIhseEADTBXnidKtQWdnh5GACMGzeuft++fcHtjdNoNFJRFP/PTqdTBQAmk8m7f//+nKSkpNqXXnrJPHv27JjTz5VSivj4+PqDBw/mHDx4MOfw4cM527dvP+I7Hhoaqpx+js9XX30V9NBDD4364IMPcocPH+7t6PPrcgAkpTwhpfym8ftaAN8BiALwUwCvNw57HcDPunqvc53D4cCHH36IRx55BI8++ig2b94Mp9PZ19MiIiIiorNRqMUFtV6Bx66GbFzpJiXgsauh1isItXSqYMHMmTNrXS6XeOGFFyJ8j3322WfBGRkZxqbj4uLiXAcOHAj2er3Izc3VZmdnhwDAiRMnNF6vF3Pnzq1aunRp8bfffhsMAEaj0VtdXa0GgMTEREdFRYXmk08+CQEAp9MpsrKyDO3N7ciRI7pbbrkl7m9/+1teYmJip94od+seICFEDICLAXwFYJiU8gTQECQJIczdea9zTU5ODn7xi19g3759cLkaXquvvPIKEhMTsXbtWiQkJPTxDImIiIjorDL6hlrsXuGCq0YDW5EemmAvPHY1VBoJY2RDNbhOUKlU2Lx589GHHnrIsnLlyuF6vV5GR0c7V69eXdh03DXXXGN78cUXnWPHjr1w7Nix9QkJCXYAyM/P186bNy9GURQBAEuWLCkCgDlz5pQ//PDDoxYuXKhkZWV9t2nTpqMpKSkja2tr1V6vVzz44IOlkyZNarNww5NPPjmiqqpK8/DDD48CGrJQ+/fv/64jz09I2ekKec0vJIQRwGcA/iCl/KcQokpKObjJ8UopZXgL590P4H4AGDly5MTjx493y3z6E6fTiRtuuAFffPEF3O7mVQE1Gg1+9KMf4V//+hf0en0fzZCIiIjo3CKE2C2lnNTX82jJvn378sePH18e0OCWqsAZI7tUBe5csG/fvojx48fHtHSsWzJAQggtgPcAvCGl/Gfjw6VCiBGN2Z8RAKwtnSulfAXAKwAwadKk7onG+pnMzEwcOnQIHo8HQggYDAZIKeFyueD1enH48GFkZmZi+vTpfT1VIiIiIjqbDJvowC2f5OJYRihqC7ulD9C5rjuqwAkAawF8J6X8S5NDmwHcDeD5xj8/7Oq9zlXFxcWor6+HEAIqVcO2LN/3iqLAbrejuLi4j2dJRERERGclTZDsi2pv/VV3VIG7HMBdAKYJIfY2fl2PhsDnGiHEEQDXNP5MLYiKikJQUBCklPB6GwpZSCmhKAqklAgODkZUVFQfz5KIiIiIqP/rcgZISvk/AKKVwz/u6vUHgqSkJIwdOxZWqxVutxv19fX+YxqNBueddx6SkpL6cIZEREREROeG7sgAURfp9XqkpaVh4sSJCAoKglqthlqtRlBQECZOnIjVq1ezAAIRERERUTfo1jLY1HkJCQnIzMzEv//9b2zbtg1AQ2bouuuuY/BDRERERNRNmAE6i+j1esycORMrVqzAihUrkJyczOCHiIiIiHpdQUGBZsaMGaMtFstFcXFxF1555ZXx2dnZ+kOHDunGjBlzYWeumZaWNjQ/P1/blXlt3Lhx8HnnnZdw/vnnJ1x00UUXfPzxx8b2z2qOGSAiIiIiov7MbhdITw9FcbEOFosLN9xQi6DOl8FWFAXJycnxt99++6n09PRjALBjx46gkpISbWxsrKuz1924cWPEhAkT6mNiYtztj27gdruh1X4fM82cObPm9ttvr1KpVPjqq6+CZs+ePTovL+9AR+bBAIiIiIiIqL/avduAlBQLSkp0cDpV0OsVrFjhQlpaISZ2rhFqenp6qEajkYsWLSrzPTZ16tR6ADh06JDO91haWtrQrKyskA0bNhQAQFJSUvyvf/3r0unTp9fOmjUrJjs7O0QIIe+4447ykSNHuvfv3x88Z86c0QaDQcnKyvpuz549QY899pjFbrerwsPDPW+88Ub+qFGj3FOmTBk7ZcoU21dffWW8/vrrq5555plS3z0HDRqk+L6vra1VNXTk6RgGQERERERE/VF9vUBKigUHDwbD4xEIDvaiokKLmhoNUlIs+OST3M5kgrKzs4PGjx9v7+y0du7cGXzixAntkSNHDgBAeXm5OiIiwvvyyy+bly9fXnjFFVfYnU6nSElJGZmRkZEbGRnpefXVV8MXLFgQ9c477+QDQFVVlXrXrl2HWrr+hg0bBj/99NNRFRUV2vfee+9IR+fHPUBERERERP1RRkYoSkp08HgEoqOdGDrUg+hoJzwegZISHTIyQvtiWueff76zsLBQf/fdd1vefffdsPDwcO/pY7Kzs/VHjhwJmjZt2nnnn39+wp///OcRJSUl/rVut912W0Vr158zZ05VXl7egU2bNuU+9dRTHW6WyQCIiIiIiKg/KixsWPYWHOyFbymYEEBwsBdOpwqFhbq2L9CycePG1e/bty+4vXEajUYqin9FGpxOpwoATCaTd//+/TlJSUm1L730knn27Nkxp58rpRTx8fH1Bw8ezDl48GDO4cOHc7Zv3+7P5oSGhiqnn3O6n/zkJ7bjx4/rT5w40aFVbQyAiIiIiIj6I4vFBb1egd2uhmxc6SYlYLerodcrsFg6VbBg5syZtS6XS7zwwgsRvsc+++yz4IyMjGYV1+Li4lwHDhwI9nq9yM3N1WZnZ4cAwIkTJzRerxdz586tWrp0afG3334bDABGo9FbXV2tBoDExERHRUWF5pNPPgkBAKfTKbKysgztzW3//v16X9D1v//9L9jtdothw4Z5OvL8uAeIiIiIiKg/uuGGWqxY4UJNjQZFRXoEB3tht6uh0UhERjZUg+sElUqFzZs3H33ooYcsK1euHK7X62V0dLRz9erVhU3HXXPNNbYXX3zROXbs2AvHjh1bn5CQYAeA/Px87bx582IURREAsGTJkiIAmDNnTvnDDz88auHChUpWVtZ3mzZtOpqSkjKytrZW7fV6xYMPPlg6adKkNgs3vPXWW+Fvv/32UI1GIw0Gg/L3v//9mErVsZyOkLLTFfK63aRJk2RWVlZfT4OIiIiIznFCiN1Sykl9PY+W7Nu3L3/8+PHlAQ1uqQpcZGSXqsCdC/bt2xcxfvz4mJaOMQNERERERNRfTZzowCef5CIjIxSFhd3SB+hcxwCIiIiIiKg/CwqSuPnmmr6eRn/BIghERERERDRgMAAiIiIiIqIBgwEQERERERENGAyAiIiIiIhowGAAREREREREzRQUFGhmzJgx2mKxXBQXF3fhlVdeGZ+dna0/dOiQbsyYMRd25pppaWlD8/Pztd0xv88++yxYrVZPXLduXXhHz2UVOCIiIiKifsxut4v09PTQ4uJincVicd1www21QV0og60oCpKTk+Nvv/32U+np6ccAYMeOHUElJSXa2NhYV2evu3HjxogJEybUx8TEuAM9x+12Q6ttHjN5PB785je/if7hD39Y3Zl5MAAiIiIiIuqndu/ebUhJSbGUlJTonE6nSq/XKytWrHClpaUVTuxkI9T09PRQjUYjFy1aVOZ7bOrUqfUAcOjQIZ3vsbS0tKFZWVkhGzZsKACApKSk+F//+tel06dPr501a1ZMdnZ2iBBC3nHHHeUjR45079+/P3jOnDmjDQaDkpWV9d2ePXuCHnvsMYvdbleFh4d73njjjfxRo0a5p0yZMnbKlCm2r776ynj99ddXPfPMM6VN5/fcc8+Zf/rTn1ZmZWWFdOb5MQAiIiIiIuqH6uvrRUpKiuXgwYPBHo9HBAcHeysqKrQ1NTWalJQUyyeffJLbmUxQdnZ20Pjx4+2dndfOnTuDT5w4oT1y5MgBACgvL1dHRER4X375ZfPy5csLr7jiCrvT6RQpKSkjMzIyciMjIz2vvvpq+IIFC6LeeeedfACoqqpS79q169Dp187Ly9N+9NFH4Tt37jw0a9YsBkBERERERANFRkZGaElJic7j8Yjo6GinEAJDhgzxFBUV6UtKSnQZGRmhN/dBg9Tzzz/fWVhYqL/77rstM2fOrL7xxhvPmEN2drb+yJEjQdOmTTsPaFh2ZzKZ/EvjbrvttoqWrv3QQw9Znn/++SKNpvNhDAMgIiIiIqJ+qLCwUOd0OlXBwcFeIQQAQAiB4OBgr9PpVBUWFurauUSLxo0bV//BBx+0W1xAo9FIRVH8PzudThUAmEwm7/79+3Pef//9sJdeesn89ttvD/FldnyklCI+Pr5+7969B1u6dmhoqNLS49nZ2SFz5swZDQCVlZWazMzMQRqNRt51111VgT4/VoEjIiIiIuqHLBaLS6/XK3a7XS1lw0o3KSXsdrtar9crFoulUwULZs6cWetyucQLL7wQ4Xvss88+C87IyDA2HRcXF+c6cOBAsNfrRW5urjY7OzsEAE6cOKHxer2YO3du1dKlS4u//fbbYAAwGo3e6upqNQAkJiY6KioqNJ988kkIADidTpGVlWVob27FxcXf+r5+8pOfVL7wwgsFHQl+AAZARERERET90g033FAbGRnp0mg0sqioSH/q1ClNUVGRXqPRyMjISNcNN9xQ25nrqlQqbN68+einn34aZrFYLoqPj7/w6aefjhw5cmSz6m3XXHONzWKxOMeOHXthamqqJSEhwQ4A+fn52h/+8Idjzz///IR77703dsmSJUUAMGfOnPKHH3541Pnnn5/g8XiwadOmo48//nj02LFjEy688MKEzz77zNjSfLqb8EWLZ4NJkybJrKysvp5Gj3E4HMjMzERJSQmioqKQlJQEvV7f19MiIiIiGnCEELullJP6eh4t2bdvX/748ePLAxnbUhW4yMjILlWBOxfs27cvYvz48TEtHeMeoF6Sk5OD1NRUFBYWwuFwwGAwwGKxYNWqVUhISOjr6RERERFRPzRx4kTHJ598kpuRkRFaWFjYLX2AznUMgHqB0+lEamoqsrOz4Xa7YTQaYbVaUVlZidTUVKSnpzMTRERERESdEhQUJPui2lt/xT1AvSAzMxOFhYVwu92IjY2F2WxGbGws3G43CgsLkZmZ2ddTJCIiIiIaEBgA9YLi4mI4HA4YjUY0LVFoNBrhcDhQXFzcxzMkIiIiorOIoiiK6OtJ9FeNv7sWy2gDDIB6RVRUFAwGA2w2G5qWKLTZbDAYDIiKiurjGRIRERHRWWR/WVnZIAZBHacoiigrKxsEYH9rY7gHqBckJSXBYrGgsrISeXl5MBqNsNls0Gq1sFgsSEpK6uspEhEREdFZwuPx/OLkyZOvnTx58iIwYdFRCoD9Ho/nF60NYADUC/R6PVatWtWsCpzZbPZXgWMBBCIiIiLymThxohVAcl/P41zFAKiXJCQkID09HZmZmSguLmYfICIiIiKiPsAAqBfp9XpMnz69r6dBRERERDRgcU0hERERERENGAyAiIiIiIhowGAAREREREREAwYDICIiIiIiGjAYABERERER0YDBAIiIiIiIiAYMBkBERERERDRgMAAiIiIiIqIBgwEQERERERENGAyAiIiIiIhowGAAREREREREAwYDICIiIiIiGjAYABERERER0YDBAIiIiIiIiAYMBkBERERERDRgdEsAJIT4mxDCKoTY3+Sx3wshioUQexu/ru+OexEREREREXVWd2WA1gOY3sLjK6SUExq//tVN9yIiIiIiIuqUbgmApJSfA6jojmsRERERERH1lJ7eAzRfCJHduEQuvIfvRURERERE1KaeDIBeBhAHYAKAEwBeaGmQEOJ+IUSWECKrrKysB6dDREREREQDXY8FQFLKUimlV0qpAHgVwJRWxr0ipZwkpZxkMpl6ajpEREREREQ9FwAJIUY0+fFGAPtbG0tERERERNQbNN1xESHEWwCuAhAhhCgC8DSAq4QQEwBIAPkAHuiOexEREREREXVWtwRAUsrbWnh4bXdcm4iIiIiIqLv0dBU4IiIiIiKiswYDICIiIiIiGjAYABERERER0YDBAIiIiIiIiAYMBkBERERERDRgMAAiIiIiIqIBgwEQERERERENGAyAiIiIiIhowGAAREREREREAwYDICIiIiIiGjAYABERERER0YDBAIiIiIiIiAYMBkBERERERDRgMAAiIiIiIqIBgwEQERERERENGAyAiIiIiIhowGAAREREREREAwYDIGpRdnY2YmNjERoairi4OOTk5PT1lIiIiIiIuowBEJ3hlltuwfjx45Gfnw+bzYZjx47hwgsvxC233NLXUyMiIiIi6hIGQNRMTk4O3n333RaPvfvuu8wEEREREVG/xgCImpk5c2aXjhMRERERnc0YAFEzVqu1S8eJiIiIiM5mDICoGbPZ3KXjRERERERnMwZA1MxHH33UpeNERERERGczBkDUTEJCAm6++eYWj918881ISEjo5RkREREREXUfBkB0hnfeeQcHDhzA6NGjYTQaMXr0aBw4cADvvPNOX0+NiIiIiKhLNH09ATo7JSQk4OjRo309DSIiIiKibsUMEBERERERDRgMgIiIiIiIaMBgAERERERERAMGAyAiIiIiIhowGAAREREREdGAwQCIiIiIiIgGDAZAREREREQ0YDAAoh5x8uRJ3HXXXbj88stx9913o6ysrK+nRERERETEAIi635o1a2CxWLBx40bs2LEDGzZsQGRkJNasWdPXUyMiIiKiAU5IKft6Dn6TJk2SWVlZfT0N6oKysjJERkbC4/GccUyj0aCkpAQmk6kPZkZERET0PSHEbinlpL6eB/U+ZoCoTYcOHcL48eNhNptx8cUX4+jRo22OX7BgQbPgR6X6/iXm8XiwYMGCHpsrEREREVF7GABRq+6//36cf/75yM7ORllZGfbu3Yv4+Hjcf//9rZ6Tm5vr/94X/DQNgpoeJyIiIiLqbQyAqEVHjx7Fq6++2uKxV199FdHR0cjJyTnjWHx8vP97RVGa/Xn6cSIiIiKi3sYAiFp08803t3m8uLgYF154Ia677rpmjy9fvhwajcb/c9PgR6PRYPny5d07USIiIiKiDmAARC0qLi4OaNy///1v3HLLLf6fTSYTVqxY0SwIAhqCnxUrVrAAAhERERH1KVaBoxZdfPHF2Lt3b8Djc3NzERcX5/+5rKwMCxYsQG5uLuLj47F8+XIGP0RERHTWYBW4gYsBELXo6NGjHdqvM2HCBOzZs6cHZ0RERETUfRgADVxcAkctiouLw3333Rfw+ECXzBERERER9SUGQNSqV155BQcOHEBQUFC7Y6OionphRkREREREXcMAiNqUkJCArKwsDBkypM1x7777bi/NiIiIiIio8xgAUbsSEhJQUlKCH/7why0ev/zyy/HXv/4Vl156KRISEnDnnXeirKzsjHFVVVVYsmQJ5s6di6VLl6Kmpqanp05ERERE1AyLIFCHHD16FDfffDOOHz8Ot9uNwYMH4+TJk/B4PGeM/eMf/4jHH38cALB582bMnTsXtbW1UBQFKpUKoaGhWL9+PZKTk9u9r8PhQGZmJkpKShAVFYWkpCTo9fpuf35EREQ0MLAIwsDVLQGQEOJvAGYAsEopL2p8bAiAtwHEAMgHcKuUsrKt6zAA6h+cTidmzJiBffv2oaKiAl6vt9Wxzz33HH71q19h5MiRqK6uPuN4cHAw8vPz2yyRnZOTg9TUVBQWFsLhcMBgMMBisWDVqlVISEjoludEREREAwsDoIGru5bArQcw/bTHHgfwqZRyDIBPG3+mc0BmZiYKCwtRX1+P9gLoxYsXt7nczW6349JLL0VOTk6Lx51OJ1JTU5GdnQ2r1QpFUWC1WpGdnY3U1FQ4nc4uPx8iIiIiGji6JQCSUn4OoOK0h38K4PXG718H8LPuuBf1veLiYjgcDmi12nYDIADYsGFDm+OKiopaDWZ8wZbb7UZsbCzMZjNiY2PhdrtRWFiIzMzMLj0XIiIiIhpYerIIwjAp5QkAaPzT3IP3ol4UFRUFg8EAt9sNIUS746uqqtod01ow4wu2jEaj/15CCBiNRjgcjhb7DzkcDmzZsgVr167F1q1bmSUiIiIiIj9NX09ACHE/gPsBYOTIkX08GwpEUlISLBYLKioqUF9f3+54p9MJIUSrWaDQ0NBWgxlfsFVaWgqNRoO6ujpIKWG32xEZGXlG/6Gm+4Xsdrt//MUXX4xf/epXuOGGG1g8gYiIiGgA68kMUKkQYgQANP5pbWmQlPIVKeUkKeWktjbC09lDr9dj1apVGD9+PCwWC1Sq9l9GgwYNavFxg8EAKSUMBkOLzVSTkpIQHh4Om82GvLw8WK1WlJWVoa6uDqWlpRg+fLh/bNP9QkVFRSgsLERFRQUqKyuxbds23HLLLW3uNyIiIiKic19PBkCbAdzd+P3dAD7swXtRL0tISEB6ejpefvllrFy5st2lcDExMbjiiiug1Wr9j+l0Ouj1emi1WlgsFiQlJbV4rpSyxUpztbW1uOmmm/w9h3z7hZxOZ4uZKUVRkJ2djfnz53NZHBEREdEA1S0BkBDiLQA7AYwVQhQJIeYBeB7ANUKIIwCuafyZziF6vR7Tp0/Hww8/jJkzZ7Y5NjExEf/+97+xevVqXHDBBYiOjsbw4cMxfPhwJCYmYtWqVS0uTcvMzERxcTGEEFCpVFCr1f5jUkocO3YMcXFx2Lx5s3+/kJQSiqK0OA8pJb799lsWTyAiIiIaoLplD5CU8rZWDv24O65PZ78XX3wRmzdvbvX4H/7wB+j1ejzwwAOYO3euP7Bpr6lpcXEx7Ha7P8PUWibo1ltvxaOPPgq9Xg+Hw9HmXOvr61vcb0RERERE574+L4JA54b9+/fDbDbDaj1zq5fZbMb+/fsRHR0N4PvMUSCioqIQHByMqqqqNktpO51OLF++HCEhIc2yRC0JCgpqcb8REREREZ37GABRtyguLkZQUBAiIyPhdDrhcDhgMBig1+uh0WiwdevWFjM+DocDmZmZKCkpaTEblJSUhPPOOw+lpaVwu91tzsHj8cButyM4ONi/FO50QgiMGzeu1f1GRERERHRuYwA0gFRVVSEtLQ3Hjh1DfHw8UlJSEBYW1i3X9pWrrqmpQWxsrL/s9dGjR+F2u/Hee+/hgw8+gMFggMViwapVqwDAX7LaFzD5jiUkJABoyBatXr0a8+bNw+7du9sNgrxeL4xGI2bMmIH33nuv2XI4lUqFcePGYc2aNSyFTURERDRAibaWFfW2SZMmyaysrL6exjlp8+bNuOeee1BRUeF/TAiBX/3qV1i+fHmXAwKn04kZM2YgOzsbbrcbRqMRNpvN34cnJCQEoaGhsNls0Gq1GDduHKSU2L9/f7PxWq0WiYmJSE9PbzYnp9OJ999/H3Pnzm21gptv6dvgwYOxbNky3HLLLfjLX/6C7du3w2g04q677mIfICIiIgIACCF2Sykn9fU8qPcxABoAfFmZpsFPU8OHD8enn37qz7p0VtMmpA6HA16vFxUVFdBoNIiPj/dnhfLy8hASEgIAqKurQ2xsLKSUqKysRFFREXQ6HW688Ua89NJLZ2SoNm/ejDvvvBO1tbXNHtfpdPB4PACAyMhIvPrqqwHvMyIiIqKBhwHQwMUAaABYunQpfve737U5Zvjw4Th06FCXl8Q5nU5/hbf9+/fjn//8J6SUMJvN/jFWqxV2u71ZZigvL++M3j0GgwGLFi3C4sWLm2VtysrKcOmllyI/P9+/z8dXJU6r1eJHP/oR3nvvPfz3v/9FZmYmhBCYNm0arr32WmZ/iIiICAADoIGsJxuh0lkiNze33TEnT57EkCFDkJOT06V7+Sq8zZs3D9dddx2CgoJgs9n8gYqUEjabDUFBQQgODkZtbS0KCgpabFzqcDiwZMkSXHfddc3mZTKZkJ6ejksvvRTBwcHQaDRQq9UICgrCxIkTkZKSguuuuw6zZs3C6tWrsXr1asyePRtJSUldfn5ERERE1L+xCMIAEB8fH9A4r9eLpKQk7N+/HyaTqcv3vfjii+F2u2G325GTk4OhQ4fCbrdDq9Vi7NixkFJi9+7dqKura/M6X3zxBX7xi18gMzPTn8FJSEjAf//7X3z88cf+pqbTpk3DlVdeiWuvvRZff/11sypwdrsdWVlZSElJQUZGBjNBRERERAMUl8ANADU1NQgPD4eiKAGNDw4OxltvvYXk5ORO39NXdKG2ttZfuU0IgREjRiAhIcFfBe7mm2/GwYMH2+zx45vTpk2bMHPmzDbHffTRR7jllltaLZQQFRWF1157jfuDiIiIBjgugRu4uARuAAgLC8NLL70U8Hi73Y6f/vSnUKvV2Lx5c4fvV1NTg3vuuQeVlZXweDxQqb5/mdXW1uLNN99EQkICEhISsGzZMoSGhrZ7TZfLhW3btrU7btu2bc0CLpVK1ez+FRUV2LRpE7Zu3dpqkERERERE5y4GQAPEAw88gLvuuqtD5yiKgp/+9KeIjo7u0HlpaWn+Km0GgwEGgwFBQUEAGvb1/PWvf/WPvfbaazFx4kR/EYOOcjgc2LJlC9auXYutW7f6K8EBDfuNfF8+TqcTW7ZswSOPPIIZM2ZwTxARERHRAMM9QAPIhg0bEBsbiyVLlnTovOLiYmzevDngJXG5ublQFAVCCH9g4/teUZRmRRn0ej1eeOEF3HzzzcjLyztjKZzvfJ1Oh6SkpGbHcnJy8OCDD2LPnj3+Igo6na7ZmJaW1ul0OlitVlRWViI1NfWMnkNEREREdO5iBmiAeeaZZzBkyJAOn/fzn/884LHx8fFQqVTNsi++71UqVbOiDDk5OVi0aBHUajWGDh3aLBPkC5o0Gg0SExNx3XXX+Y85nU78/Oc/x+eff47a2lp4PB54PB7Y7fY29zqdd955GDZsGGJjY+F2u1FYWOgvokBERERE5z4GQANQSUlJh5ueer3egPfNpKSk+Pf1OBwO/xcAhIaGIiUlBUBDEJOamors7GyUl5cjKCgIYWFh0Gq10Ov1GDx4MCIjI/GjH/0Ia9eubZal+eCDD3Do0KF252I0GhEUFAStVothw4b5G7AKIWA0GuFwOFBcXNyh3wURERER9V8MgAYgvV6Pd955Bz/4wQ/OWDLWlkD3zYSFhWHdunUIDw+HRqPxZ3HCw8Oxbt06f7PVzMxMFBYWwu12IzY2FmazGXFxcTAajTCZTLj77rvx6quv4l//+tcZAZuvilx7Jk+ejMWLFyM2NhYul+uMfkQGgwFRUVEB/w6IiIiIqH/jHqABqmkfna1bt+LTTz/F4cOHWx0fHh4Oq9WKU6dOYebMmZg6dSrGjh2LlJQUf0DTVHJyMvLy8pCWlobc3FzEx8efMba4uBgOhwNGo7HZXiGj0QiVSoWLLrqo1XLVVVVVAT3PXbt2YcuWLfjss89QVVWFvLw8GI1G2Gw2aLVaWCyWM/YWEREREdG5iwHQAKbX65GcnOwvbhAdHd3icjCNRoPRo0ejsrISx44dQ3l5OfLz86FWq7FixQqsW7euxQIJYWFhePLJJ1u9f1RUFAwGA6xWK0wmE4QQ/syM2WxuMzNzySWX4Lvvvmv3OTocDmzcuBE333wzFEXxB11msxkWiwWrVq1iAQQiIiKiAYSNUKmZzZs34+c//zm8Xi+AhszP6NGj4fF4sH//fv/jTen1erz++uv42c9+1qFgwul0YsaMGcjOzobb7W6WmUlMTGyzOltZWRmGDx/ebnNXjUbjD7Sio6Nxyy23+B9LSkpi8ENERDRAsRHqwMU9QANQfn4+pk2bhvj4eFx99dUoKiryH0tOTobH48GWLVswduxYAA37ZaxWa6vBhtPpxG233Ya4uDh8/fXXAc9Dr9dj1apVSExMhNlshkqlgtlsRmJiYruZGZPJhFWrVrXbP8hgMEBRFFitVnz77bd49913ceedd2L69OkMfoiIiIgGIGaABpgnnngCzz333BmPz5o1C6+//ro/KDg9O+N0OmG329u9vlqtxttvv42bbrop4Dk5nU5kZmaiuLi4Q5kZh8OBDz74AA899BAqKytbHGM0GnHeeecBAPLy8mA2m7Fy5cpW9xYRERHRwMAM0MDFAGgAKSoqgsViafX4D3/4Q/z1r3/1V1zLyclBamoqCgsLcfLkSVRXVwd0H6PRiOLi4haLI3SXpnOrrKxERUUFPB4PgIYgTAgBr9cLnU6HkSNHIiwsDFarFSqVCr/73e8wb968HpsbERERnf0YAA1cXAI3gMydO7fN41999RVSU1P9vX4SEhKQnp6OlStX4tlnn/X39mmP3W5HWlpaV6fbqqb9g6xWK9xuNxRFgUqlQmhoKGJiYqBWqwEAiqL4y1+z7DURERERMQAaQPLz89s87na7kZmZifj4ePz973+H0+mEXq/H9OnT8fDDD2Pjxo0wGo3t3kdKidzc3G6a9ZlO7x8UEREBjUYDKSVcLhcA+Psbeb1e2O125OXlsew1ERERETEAGkhiYmLaHeP1elFUVIQ5c+Zg7NixzZqeJicn49ixYxg+fHib11Cr1YiPj+/qdFt1ev+g0NBQ6PV6CCHgdrtRUVHhb75qMBgQFBQUcHEFIiIiIjq3sQ/QALJ+/fo29wCd7vjx43jggQfwySef+IMGk8mELVu24IorrkBtbW2L54WGhiIlJaVb5tySlvoHWSwWHD58GEIIaLVafx+hW2+9lWWviYiIiMiPAdAAEh0djcWLF7dYBa41//vf/zBx4kRs3boV0dHRAIAJEybg888/x4033thsWZ0vG7N+/foeLYCQlJQEi8WCyspK5OXl+fsHDRkyBFFRUbj//vsRExPDgIeIiIiIzsAqcANQUVERbrnlFuzbtw/19fUBn7do0SIsW7bM/7PT6URGRgb+/ve/w2az4fLLL8djjz3Wo8GPT9MqcA6HAwaDARaLBatWrfJXsSMiIiJqDavADVwMgAYwp9OJH/zgB9i7d2/A53z66aeYNm1at9zf4XAgMzMTx48fR1lZGUwmU4cyN53tH0RERETEAGjgYgA0wLXXG+h0wcHBeOutt3Ddddd1KdjwZXByc3Nx8uRJeL1eqNVqjBgxAnFxcZ3K5OTn5+Pee+9FQUEBYmJisH79ev+yPSIiIqKmGAANXKwCN8D59gUFym63Y+7cubjssss6lDlqytfHZ9++fSgqKoLL5YLH44HL5UJeXh62bduGCRMmYPz48Th69GhA13ziiScQGxuLzMxMHD16FJ9++iksFgueeOKJTs3xdA6HA1u2bMHatWuxdetWf68kIiIiIupfmAEiAA2ZoEmTJqG0tLTdsUIICCFgMBiwbNky3HfffR3KBm3duhWPPPIIiouL4Xa74fF4oNPpWt2PNG3aNPzrX/9q9R7tZbEKCwu7lAnifiMiIqJzDzNAAxczQASgIRP07bffQqVq/yUhpYSiKLDb7ViwYAGuv/76Zv2C2uPr46PVaiGlhEqlgsfjaXX8tm3bEBcX1+o95s6d2+b92jveFl+2Kjs7G1arFYqiwGq1Ijs7G6mpqf02E3Ty5EncdddduPzyy3H33XejrKysr6dERERE1CsYAJGfyWTCCy+80KFznE4ntm3bhgsvvBD33HMPampq2j3H18fH7XZDCAFFUeB2u9s8p7i4GMnJyc0Cjl27dmHYsGH49NNP2zz32LFjWLJkCebOnYulS5cGNEefzMxMFBYWwu12IzY2FmazGbGxsXC73SgsLERmZmbA1zpbrFmzBhaLBRs3bsSOHTuwYcMGREZGYs2aNX09NSIiIqIexwCImnnkkUfwxRdfIDw8vMPnrl+/HuHh4di8eXOb43x9fIKCguD1ehHoMsyjR4/i/fffBwBcd911mDJlCqxWa7vnFRQUYOnSpdi4cSOWLFmC2NjYdufo48tWGY1GCCEANCwBNBqNcDgcKC4uDug6Pvn5+Zg2bRri4+Nx9dVXo6ioqEPnd1VZWRkeffTRMzJuHo8Hjz76KDNBREREdM5jAERn+OEPf4gTJ07gww8/xPz582Eymfxv/tujKApuv/32NrMser0eq1atwvjx4xEdHQ2dThfw3NLS0rB37178+9//Dvgcr9cLj8cDKSU8Hg8qKys7nK2y2Wz+QE1KCZvNBoPBgKioqIDn0dOFGgKxYMGCZsFP0yWPHo8HCxYs6LW5EBEREfUFBkDUIr1ej+TkZKxevRr//ve/ER4eHtD+IACoq6vDX/7ylzbHJCQkID09HS+//DIWLVqE4ODggK5dVVWFn/zkJwGNbUqj0UCj0fj3HdXW1iItLa3d83zZKq1Wi7y8PFitVuTl5UGr1cJisSApKSmg+xcVFeG5555r8dhzzz3Xa5mg3Nxc//e+v8+mf69NjxMRERGdixgAUbsmTJiATz/9FImJiQFna7Zv397uGL1ej6SkJOzYsQNqtTqg615yySWorKxsd1x4eHizoMrtdsPlcsHlcgFoyAoF8mbfl61KTEyE2WyGSqWC2WxGYmIiVq1aFXD1u54s1NAR8fHx/u8VRWn25+nHiYiIiM5Fmr6eAPUPEyZMwJdffon169fjwQcfbHffjtFoDOi6mZmZyMvLQ21tbbtj1Wo1Hn/8cbz77rttjlOpVNBqta2W1QYa3vTHxMQENEdftiozMxPFxcWIiopCUlJSh0p/5+fnd+l4d1m+fDnefPNN/zK4psGPRqPB8uXLe2UeRERERH2FGSAKmF6vxwMPPIBPPvmkzXFCCNx5550BXbO4uBjl5eXtjtNoNLjxxhsxYcKEdktPK4qC+vr6doOwkSNHBjRHoOG5T58+HfPmzcP06dM7FPwAaDfYCjQY6yqTyYQVK1ZAo2n+2YdGo8GKFStgMpl6ZR5EREREfYWNUKlTxo8fj+zs7BaPJSYm4uuvvw4oSNi6dStmzZrlL0jg24/SNDOh1WphNBoDWvrmo9Pp/MvdWnPZZZdhx44dAV+zK3q6WWtHlZWVYcGCBcjNzUV8fDyWL1/O4IeIiAYUNkIduJgBok7Zt28fNmzY0OyxsLAwXHXVVXjrrbcCzpAkJSUhIiLC/7OiKM2CH6Bh/05Hgh8A7QY/QENBhd4SHR2NxYsXt3hs8eLFvRr8AA2ZoNdffx3bt2/H66+/zuCHiIiIBgxmgKhLnE5nl/bGAMDXX3+Nyy+//IzeNF0hhGh3n9Idd9yBjRs3dts9A1FUVIS5c+ciPz8fMTExWL9+fa8HP0RERMQM0EDGAIjOCps2bcKdd94Jr9fbLdcbNWoUjh8/3uYYq9Xqz3zk5+fj3nvvRUFBAWJiYvB///d/2LNnD9544w3U1dXh8ssvx2OPPYawsLBumR8RERH1LQZAAxerwNFZYfDgwYiJiUFxcTGCg4NRWVnZbganNYsXL8YjjzyCkSNHwuFwtDjmT3/6kz/4eeKJJ5r16Dl69CjGjBnTbPynn36KlStXYsOGDUhOTu7UvIiIiIio7zEAorNCcXExPB4PTCYTzGYzbDZbQPt4mpo0aRLef/99REdHo6am5oxKZz4qlQrffPMNysrK4HQ6W21Q2pSUEtXV1f7la8wEEREREfVPLIJAZ4WoqCgYDAbYbDZIKZsVRghUUVGRPzBJS0uD0+mEEAIajcZfXQ5oKLSwadMmDBs2DFdeeWWH7lFbW4u0tLQOz42IiIiIzg4MgOiskJSUBIvFAq1Wi7y8PLjd7g5fo7S0FFdddRVycnKQm5sLRVEghIBWqz2jshzQkNU5duxYh+6hKApyc3M7PDciIiIiOjswAKKzgl6vx6pVq5CYmAiz2XxG1iYQUkrk5uYiNTUVMTExUKlUkFK22zi1I1QqFeLj47vtekRERETUuxgA0VkjISEB6enp+NOf/oTBgwcjJCQEGo0GarUaQoh2z9doNJBSorCwEImJiQgNDQWAFrM/naXVapGSktJt1yMiIiKi3sUAqAfk5+dj4sSJUKvVUKlUMJlM2Lt3b19Pq1/Q6/XQ6XRQFAUajQbjxo2DyWQKqCJcUFAQBg8eDIfDgcrKSqxbtw7h4eEdziS1xel0dmtGiYiIiIh6V48HQEKIfCHEt0KIvUKIc77JzxNPPIHY2Fh88803UBQFUkqUl5fj4osvxnXXXdfX0ztr5efnY9q0aYiPj8djjz2Guro6GI1GSClRWlra7vkhISGwWCyoq6uDwWBAVFQUkpOTkZeXh0WLFrV7/s9//nMkJSUhKCiozWyToihYsGABHA4HtmzZgrVr12Lr1q0MioiIiIj6iR5vhCqEyAcwSUpZ3t7Y/t4ItaioCBaLpc0xe/bswYQJE3pnQr3A4XAgMzMTJSUliIqKQlJSEqSUZzym1+tbvcbpfXh8DAYDwsPDceLEiTbnoNFoMHz4cNTV1UGr1SIxMRHp6enN7vn888/jt7/9bavnl5SUwGQyIScnB1OnTkV1dXWzMUIIfxZKr9f7izSEhIRg+PDhGDVqFFatWoWEhIQ250pERERnBzZCHbjYB6gbzZ07t90xP/nJT9p9Q99f7NmzB/PmzcOJEyegKAoGDx6MIUOGQAiBiooKOBwOGAwGWCyWVoODoqKiVvvwOBwOlJWVtTuPkJAQqNVqmM1m/71OD7gef/xxSCmxePHiZo9rNBqsWLHC3xQ1ISEBM2bMwBtvvOEfo1Kpmu0japrtqa2tRW1tLaxWK1JTU88IvIiIiIjo7NIbGaA8AJUAJIC/SilfaW1sf88AxcfH4+jRo22O0ev1cDgcvTSjnrN37178+Mc/RnV1NaSU/mVjQgioVCqEhITAaDTCZrO1mpUBgKuvvhqffvppl+YyePBgPPvss4iPj28321RWVoYFCxYgNzcX8fHxWL58uT/4aTomMjISHo+nQ/MYM2YM0tLSMH369E49DyIiIuo9zAANXL2RAbpcSlkihDAD+I8Q4qCU8nPfQSHE/QDuB4CRI0f2wnR6TkxMTLsBUHh4eIev63A48PHHHyMzMxNCCEybNg3XXnttn2UanE4n7rnnHlRXV0NRFKjVakgpIaWE1+uFSqXC0KFDMWjQIJhMJuTl5aGwsBCZmZlnBAf5+fldnk91dTXWrl2LN954o93ficlkwuuvv97umBUrVuDRRx/tUBBUVlaG4uLigMcDQFVVFdLS0nDs2DHEx8cjJSXF38yViIiIiLpfjxdBkFKWNP5pBfA+gCmnHX9FSjlJSjnp9E/i+5v169e3O2bLli0dumZOTg4uv/xy/OxnP8OqVauwcuVKJCcnY/To0fj66687OdPOq6qqwsyZM7F37154vV5IKeHxeKDT6ZpVavPtkRFCwGg0wuFwtBgcxMTEtHtPjabtOF1Kie+++w4pKSndVoxg/vz5KCkpwZw5czB16tSAgk1FURAVFRXwPTZv3oy4uDgsXboUGzduxJIlSxAbG4vNmzd3ZepERERE1IYeDYCEECFCiFDf9wCuBbC/J+/Zl6Kjo8/YY9LUtdde26ECCE6nEz/72c/wzTffnHGspKQEl112Gd57773OTLVT3nvvPQwdOhT/+c9/zjhWX1/v/15RFLhcLn9WyGaz+Suzna69oFGtViMkJKTduTmdTuzcuTOgIDRQvmzR9u3bccEFFwQ0PikpKaBr19TU4J577kFlZSU8Ho8/kKysrMQ999yDmpoa/9iqqiosWbIEc+fOxdKlS5sdIyIiIqKO6ekM0DAA/xNC7APwNYAMKeXWHr5nn/rDH/6AwsJCTJ482d/AMyIiAnv27MHHH3/coWu9//77OHLkSKvHFUXBXXfd1StviL/++mvceuutbTYVbZoBKi0txYEDB3D06FFotVpYLJYWg4Po6OhWy1T7Kq8FBwdj1KhR7c6xvr4eq1at6pGS1O+++26bx9VqNd58882AlyWmpaWhtrYWQEO1O98X0FBYIS0tDQCzRERERETdrUcDICnlMSnl+MavC6WUf+jJ+50toqOj8fXXX8Pj8UBRFJSVlXWq9LXvTXBb6uvr8dBDD/VoHxqn04nbbrutzeCnKa1WC6BhGZzb7ca4ceNarMzms2zZMmzZsuWMpW6+DFJFRQXMZjMiIyPbvXdtbS0yMzPPeLyrfXvi4uJw3333tXhMo9Hg7bffxpQpU1o83pLc3FwoigIhRLMCEkIIKIqC3NzcDmWJiIiIiCgwPb4HiDqvqqoqoHFvv/02xowZgxdffLFHAqHMzMwOle4eMmQIYmNjYTAYMGTIEKSkpLTbH2f69OnYtWsXLrroIqhU378spZRwOp3YtWsXSkpK2ryGRqOBSqU6Y69RTk4OZs6ciUcffRTPPvssHnnkEcyYMQM5OTmtXqulgOmVV15Bbm4uxo0bh+DgYISHhyM1NRWnTp3CTTfdFMBv5vtr+4JJRVH83/sCPpVKhfj4+ICzREREREQUOPYBOotdcskl+O6779od5/F4UFhYiIcffhirV6/Gpk2burXZanFxMbxeb8DjS0tLUVtbi7CwMKjV6lZ7+TgcDnz00UdYu3Yt9u3bh6qqqk6XCFepVAgKCkJQUFCzvUZOpxOpqanIzs6G2+2G0WiE1WpFZWVlq317cnJykJqaisLCwhZ7GWVnZ3dqjk2vffz4cf+SQYfD4c8CAUBoaChSUlKQkpLSbpaIiIiIiDqGGaCz2IoVK5q9MW6PlBKHDh3Cj370o26tEBcVFYWgoKAOnWO321FWVga9Xt9i8YOcnBxMmTIFt956Kz7++GOcPHmy08GPRqOB0Wj0BypN9xp9/PHH+O6772Cz2TBkyBBEREQgNjYWbrfbX5q7qaYBk9VqhaIosFqtyM7ORmpqapcybE2vXV5ejvDwcP/fr5QSarUa4eHhWLduHcLCwhAfHw+VSuXPDPnGNc0SEREREVHHMAA6i5lMJqSlpXUoCAIAm82GH//4x9i7d2/A57S1RyYpKSmgctWnk1IiJCTkjOIHpaWluPrqq/Htt992+JotEUJg2LBhSExMbLbXKCcnB48//jhKS0vhdDpRVFSE3NxcOByOVktzZ2ZmorCwEG63G7GxsTCbzW0GTB1x+rVjYmKQmJiIoKAghIWF4fbbb0deXh6Sk5MBACkpKQgNDQXQ8Pfj+wK+zxIRERERUccwADrLzZ8/H6WlpZg+fTp0Ol3AwVBdXR3uvffegDIW7e2R0ev1WL9+vX//SaBUKhVuvPHGZkvMNm/ejNjY2A7tKWqP2+1GWVkZLr30UhQUFMDpdPqzLSdOnPDvs/F4PKivr0dhYSFqa2tbLM1dXFzsD5CaLjtrq5dRoFq6tkajQUREBMLDw3HFFVc0a4IaFhaGdevWITw8HBqNBkIIaDSaZlkiIiIiIuoYBkD9gMlkwpYtW1BTU4MPPvgAFosloEDoxIkT7WYsAl3yNWHCBOzcuRM6nS7geWs0Gpx33nkAGjIYr7/+Om666aZmPYO6S1VVFf7whz9gzpw5uPTSS3Hffffh4MGDAIDg4GCo1WpIKeH1elFXVwcpZYuluaOiomAwGGCz2ZotO2url1GgOnPt5ORk5OXl4amnnsKdd96Jp556qlmWiIiIiIg6hkUQ+hG9Xo/k5GSMHDkS06ZNQ2VlZatjfRvl28tYnL4sSwgBk8mEvLw8/5Kv6dOnA2gIgsrKyjB27FicPHmy3fk6HA7cfvvtyM7Oxj//+U9/QNKTysrKUFZWhgMHDgBo6M8zZMgQuN1uCCHg9XqhUqkQGRnZYmnupKQkWCwWVFZWIi8vD0ajETabrc1eRoHq7LXDwsLw5JNPdvq+RERERPQ9ZoD6oQkTJmDbtm0YO3Zsi8dVKhVUKhUGDx7cbsaio0u+wsLC8NBDDwU8V0VR8Nxzz/VK8NOUx+OBx+OB0+nEyZMnm/UwGjp0KJYtW9ZiaW69Xo9Vq1YhMTERZrMZKpUKZrP5jP1FndGT1yYiIiKiwDAD1E9NmDAB+/btw8svv4zHH38cLpfLXx1MpVJh0KBBGDlyZLsZC9+yLKvVCpPJBCGEf1mW2WxuMYCaPHmyf1x/4Gsg6uN2u3HllVe2Oj4hIQHp6enIzMxEcXExoqKikJSU1C0BSk9em4iIiIjaJ86mN7GTJk2SWVlZfT2Nfmfv3r249957/Rv+Bw8ejJEjR/r71jRVVVWFtLQ0HDt2DPHx8XjggQf8y9R8fXJ8y7ISExNb7JPjdDoRHh7eI3t5eoparYZarYaiKLBYLHjppZf8S/uIiIho4BFC7JZSTurreVDvYwboHOArUNBeVmHz5s245557UFNT42+wuWzZMixZsgQA/I0/zWazv/FnS5kJvV6Pp59+Go8//nivPL/uYDQaYTabUV9fH9DeKKLW2BQP/lFdhgPOOuiFCqN1BpjUOozQ6jDBYIROcGUxERHR2YwZoAGipqYGsbGxqKioOOOYRqNBZmYmbDZbwMuynE4nzjvvPBQUFPTktLvNyJEjERERgby8PJjNZqxcuZIZIOqw7XXV+OOpAtilgqb/cqoBmNRaRGn1mB8ehRhdx0rGExFR72MGaOBiBmiASEtLQ01NTYvHPB4P5s6diwMHDgS8F0Wv12PLli345S9/ia+++goul6s7p9vt7HY78vLyzqi45nA4kJmZiZKSklYDv0DG9Cfn2vPpLTbFg2WnClAnlTOOeQGUet1wKArWVBbjOXMsM0FERERnKQZAA0Rubm6zSmhCCH+pbKChfHTTkteBSEhIwH/+8x9kZmYiNzcXX375JfLy8rB7925//6CzoViCVqtFcHAwgoKCmi3ty8nJQWpqqn/pn8Fg8B/37Z0KZEx/cq49n970fk057C0EPz4CgBMSVo8bex02TAlio1oiIqKzEQOgc8DphQ1SUlIQFtb8zVd8fHyz5qmnByYqlapT+2L0er0/aJo/fz6AhjfZDz/8ML788ks4HA4A6LMgSKPRYNmyZQgLC2uW7WjaANZX/MFqtaKyshKpqalIT08HgHbH9KfMSSDPuT89n95W7HGh9fAHkADUEHBJBWUed29Ni4iIiDqIAVA/5ytsUFtbC0VRoFKpsGLFCqxbtw7Jycn+cSkpKVi2bBlsNhsAnJENMplM7fYMClRCQgL+9a9/Yf369Vi1ahVqa2vh9XpRVVUFRVH8Jbt7klqtRlBQENavX4+bbrrpjOOBNIAFEHCT2P6gI01v+zOXVLCrvhZZ9bUo87phUmkxOTgUk4JCu7QsLUqjgwoNy91aIgB4IaETKpg02k7fh4iIiHoWA6B+rKamBvfccw8qKysBNAQybrcbFRUVmD17Ng4fPozo6GgADQ1M169fj9mzZzfriSOEQFhYGEaNGtVuz6CO0Ov1eOCBBzB37lx/dTpfnyGr1Yrdu3fj5Zdf7rb7nX7vWbNmYfXq1WdkwnwCbQDbkSaxZ7uONr3tj/JdDvz5VCFyXfVwNSlTkF53CvHaIPwmYmSnCxTcGBaBd2rKUNvKMjgJQA8Bs0aLCQZjp+5BREREPY+7dPuxtLQ01NbWAmhY6tU0q1NfX48xY8Zg8+bN/sduuukmbN++HXFxcQgLC8PgwYMRHx+PyZMnt1ryuqt8S+TmzZuH5ORkzJw5E/PmzcNLL72E6upqzJ49GyrVmS9DlUqFYcOGISgoCFptxz5NDwkJwRVXXNFq8AN83wDWZrP5s1G+BrAGgwFRUVEBjelPzrXnczqXVJBWUYTDLnuz4AcAPAAOuuuxrLwArjb28bTFqNLgN0NHIkSoIE47pgYwTK1FnD4I88OjWACBiIjoLMYMUD/mK2zgy/yczuFw4J577kFeXp4/GJgyZQoOHDjQbs+g3hAWFoa33noLf/3rX/HnP//Zv+/mhhtuwKJFixAWFgan04nMzEzs3LkTGzduREVFBZxOZ6tNWIUQCA4ObvfNfFJSEiwWCyorK5GXl9esAWzTKnGBjOkvAn3O/dVehw1FHlerS9QA4Kjbgaz6WkwNHtSpe1weMgibgi7AuzVl+NZhh14IxOkMiGAfoID4eih966iDQyoYpFZjhEaPyUFdX6JIREQUKPYB6seWLl2KJUuWtBj8+Gi1Wjz11FN48sknO32fs6Vssi8Yys/Px//93/9h//798Hqbv93V6XT40Y9+hIyMjHbnyCpwPfN8+ur1klF7Cq9UnUCt4kVr/6qpANxojMD8of0729Ufba+rxh/K89HSRxc6CMTrgrBwqIU9lIio17AP0MDFAKgfa6u5qY9arcadd96J9evXd+oeZ2sAkJOTg3nz5iE7O9vfg0in02H8+PF47bXXAp6bL6hqKxsWyJj+pCefT1++Xr6ur8HyU0Uo87b+gYAKwI2hEZg/hAFQb7IpHtxSeACONsZoAIzTh+D5YaO7PRPkkgr2OGwo97hhatyjxWwTETEAGrgYAPUju3btwowZM1BdXY3w8HBs2bIFBQUFmD179hlLwrRaLTweDzQaTaczQE6nEzNmzGhWNtm3ZCoxMbFHyyYHkkVwOp34+OOP/RXbpk2bhmuvvbZfByf9WV++XoCGN7mPlx5DtrOu1WVweiHwu4hRuLyTS+Coc16rLMEbNWXtjotQabEwIrpLPZSaBjuD1WqUetzYXHsKdYoCIRVIIRCiUuOmUBOuCw1nIEQ0gDEAGri4B6ifuO666/Dvf//b//PJkydx8cUX4+qrr8bhw4cxZswYf88dAP5Kb6GhoUhJSenUPXurbHJ+fj7uvfdeFBQUICYmBosXL8Yf//jHdrMIer0eycnJzcp9U9/p6zLbOqFCypBo/OlUAQ666s9YBqcGEKcNwuSg0B6bA7Vsh70moHGd7aFkUzzYUHESW+pOwdbeYAmUKx6sqSxCpr0SKUOiueyOiGiA4Udf/cDevXubBT9NffLJJ/jqq6/w9ttvY8iQIdBqtVCr1dBoNAgPD8e6devarIbWlt4om/zEE08gNjYWmZmZOHr0KD799FP8+Mc/xo4dO2C1WqEoCqxWK7Kzs5Gamgqn09nle1LPOBvKbMfoDFg5PB4Ph0fCpNbAABWCIBCh1iBRH4KFQy38xL8PVHvbKk3xvc70UNpeV42ZhQfwTiDBTxMuAHucdXi6LA/b7dWdrg5IRET9DzNA/cBPfvKTNo/ffvvtqKmpQV5eHtLS0pCbm4v4+HikpKR0OvgBvi+bbLVa/T18fGWTzWZzl8smFxUV4bnnnmvxmN1uR0xMDIKCgs7JZp39RUcKGvT06yVQOqHCjWEm3BA6FHsdNpRx30efG6RWo6JJ/7GWCACWxkp6gbIpHjxZnt+luRV4XHi+vABD1VrcFBaB64xD+DohIjrHMQDqB3yNTlvjdrv9gUFXqr2drrvLJvveTB8/fhwff/wxPvjggzbH5+fn44ILLjjnmnX2tUA3hHe0oMEZr5eQENiqqqAVApbgYCRNndobT89PJ1Rd2kvSG07frwIIVHk951zANjU4DHnt7AEaozEgZUh0wM/Zpnjw08ID3TE92KQCm8eJv1QUY31FCUbpgxGjNWASy3MTEZ2TGAD1A+Hh4Th58mSrx4UQPRIY6PV6rFq1qtmbYLPZ7H8T3JEN7b4307m5ucjPzw/oHLvdjt27d/t/HjZsWL9v1tnX8l0OrKkshtXjhkPxwgkJDQSuDB6Ee8OHw6hq+CfB6XQiNTW1WUEDq9WKyspKpKamtljQoNnr5cgROEpKYPZ6YQGworgYjp8m48s/PYegiy46p97cd1bTv4s6rwc1smGZWJBKhUFCg2FaHeaHR50T+1NmDzLjnzXlOHNnVoNbjRGYN2REm68Jl1TwdX0N9tTbUOxx4itHRxa8Ba4CEhXOOuxx1uF92ylEq7W42jgEF+iD+bolIjpHsApcP7B3715cfPHFrR6PiYnByy+/jKuuuqpH+q90tWyyrzrYvn37UFbWfiWotgwePLjdjBi1zCUVLLbmIddhhw1Ks0ppAoBRqPCboSNxecggbN26FY888gisVqu/oIGUEnl5eTCbzVi5cmWrSxGdX3+NzKuuQnF9PaIAXAVAD8ArBCqHm/Gvh34BV9xoXDPjJsSEDsxqbL6/i2MuB+oVzxnloVUAjEKNMfogPGeOPSfedG+vq8Yfy4+jrkkQpAXwmyEj8ePQ8DbPzXc5sKy8AAfdLTdA7mkCQJRad04FpUTEKnADGTNA3awnmkBOmDABSUlJ/nLPTel0OsTHx2P48OGYOXMmCgsLYbfbYbfboSgKLr74Yjz00EOYMWNGp+eh1+u7tO/GVx3s9FLdnVFVVYVNmzZh9uzZ7Y49Wxq49pSOPr+9DhuOuxyoxpmbvSUalgEtO1WAN4Mu6HxBA6cT2lmzcF0Lf9dqKRFxohS3P7MMp0aYUfN/f4Prpf+D7sKLOvX8+7O9DhusHjfsigctlfWQAOqkF6VuF/Y6bGf9Ur5ARGn1iNcFId/jhFMq0AsVYjR6xOmD2jzPJRU8a83DMa+rl2Z6Jgmg1OtCnVSwprL4nAlKiYgGKgZA3SjQPRMdfeOak5MDtVqNyMhIlJSU+B+PjIxEQkIC/vznP2PhwoXIzs6G3W6Hzfb90pBt27Zh27ZtGDt2LP75z3/2SfNS35tprbZj1Z1ac/vtt7caAOXn52PixIltNocdNWoUrrvuOsyYMaPf9g3qTMPRQpcTp5TWN6JLAPVS4v2a8k4XNCj94H2Y21niqPF4EFFSiiC7A3UpD2Pve/9AmVoFs8eLCTt3QXviJBAVBSQlAf3w7yYQZR43HN6Wgx8A/hyJTXo7VRb6bONqDBwKPC4oAEJVGjikggKPq8WAouneqI+qy/o0+PHxAKhXzq2glIhooGIA1E0C3TPRdC9MYWEhFEWBRqPBb3/7WyxevLjFZp/z58/HN998A7fbjYiICNTX10OlUmHYsGF47733sGPHDhQWFsLlcjULfpo6dOgQJk2ahGXLlmHMmDG9mg3xvZkuLS3tlus1XbbpcDjw1ltv4dlnn0VeXl5A5x8/fhyvvPIK1q1bh0mTJuG1117rk8CwszqzPwcADrvsrezA+J4XEsUeF25tpQCGRqOB2+3GG2+8gaysLH+lQZdUsNNeA93fXoE5gOegqNXQ1jtQdfw4/vvR+yiMHIZ5zyxDeclJRLi90AYFARYLsGoV0It/Ny6pYFd9LbLqa1HqaXjTPUytw+Tg7t0Mb9JoWw1+fLwABESHy0L7+PbMfG2vxb76WhQpbigAQiDwB/NIOKBqtxBGd/FlvDyQGK7W+gPqk143rB53s4Ci6d6oUo8TfR/6NJAAnJA44XXhE1sl9wMREfVjDIC6SSBNIJOSkpCamoovvviiWT8bt9uNJUuWYOnSpcjIyGi23Gz9+vX48ssv4XA4oFKp4Ha7odfrIYSA3W7Hjh07/BmW9paY1dfXIzU1FaNGjUJ8fHyb2YLulJSUhBEjRuDw4cPdcj3fkqycnBzccMMNARdVOJ3b7caXX36J2bNn43//+1+XSob3ps42HJWi/WsLAFEaXYsFMIKDg1FaWorKykocP34cKpUKK1aswLJXX8GeyxJxyGXHstrANqarvF54ggxQOxzQFhRg7ivrMPLgYWjcHlQGB2FobS3UlZVAaiqQnt4rmaB8lwN/OlWAI656nJ4n21x3Cudpg/CbiJGd2v/hy2iUelyo8npgVKmhtBuOAkPVmg6VhfbJdznw51OFOOSy4/QOPHWQeMR6HEDD/wA0QiBUqHFb2DDcENYzJaDLPG64pAKDUDVbUmkQqmbNT32ZomMuB2yKB2db7kuiITD9r70a5aVuNlElIuqn+PFVNwlkz4Sv2WdrzTwVRcFPfvIT/OIXvwDQ8En/n/70J9TX10NKCa/XC7fbjbq6On/Ak5+fj5KSEhQVFQXUJFRKifz8fHzzzTe91lhUr9dj3Lhx6K6CG2+++SacTid++ctfdjr48ZFS4ttvv0ViYiL27NmDLVu2YO3atdi6detZ23S1s/tzLBo92ouBtBC4MSwCAJCQkID09HSsXLkSCxYsQHV1NTweD7xeL6SU8Hg8qKysxK/mzUP2KSu8AMpNEQE/D7XbA6dej0EVlTCVnITG7cEJSxQqI4aiMHoEpNsNFBYCLex96zKHA9iyBVi7Fti6FS5HPf50qgDftRD8AIAC4KC7HotLj2FHB5tm5rscWGzNw8pTRXixogR/r7bi/ypPQGnnPwcdBBZ1onHrQWcN5p04hJwWgp/TeQA4pESZ4kFaVTFST+Qi33V6SYauM2m00AkVHFLx/zsgpYRDKs2an/oyRS7Fe9YFP025IfGd0460iiI2UCUi6oeYAeomgeyZKC4uRmFhYbvXWrt2LS6++GKMGDGixTezUkq4XC7U19fjr3/9K8rLy+ENsNO6T0VFBfbs2dNrjUVramqgUqmgKO2/WVCr1a0+H6PRiLq6Ojz77LP44osvum1+x48fx8SJExEWFgadTgedToewsDCkpqZi7ty5Z9U+oc7uz7kxLAJvVVtbLUUsAPxcF4ovPv5Ps/1p06dPx9KlS+F0Ohs+tTcYIAXg8ipQXE646+pQtO5NxKTcj4MTE3HN5i3tBlpCSjiD9LBGDkfV0HDonE44goOAxoDOA8AVHAy9wwF0U4l3l1Swq9KK+nXrMO6vf0OwrQ5ajRo6QxCcwQZM/vEPYUy8CHsvmwy3XtfiNU4obvylvAgxekNA1cD8e19qqhC3/UtcYi1D2TAz9l42GfVN7qF1ODH58x24eOcuSAjsmToFSTfejDH64A49v4eLD+Owt/OB+0F3PZaVF2DViPhuzQRNMBhh1mhhc3lx0uuGoTEY0kDA3LgED2jIFNmlF+0v1ux7Dkh866zD/1WU4JdDIrkcjoioH2EA1E0CaRqamZkZcKAyf/58hIaGtpmFKC8v938K3xmnTp3CP/7xj14JgOLj4wMKfoCGvkcpKSlYvXp1s7LZ559/PlwuFx566CG4XN2/M0BKierqav/PJSUlePTRR/GPf/wDq1evPmv2CXW2Qa1RpcFvho7Es6eOn5EZ0EJgeH4x/rF0AYpaKKyQm5sLRVEghIAHgFdKQCUAoYJUJOqPNwT2xaNGombQIAxq8ns8nRRA6YhhKIkdhTVPL4S5+CRcej0Gn6oApGwIgqSEsNcB5mENBRG6KN/lwOs7tiH5t09j0u590Lob8gtelQoSQLAQuP3gIZRGjoA1agTWPL0Qx8fEtXitGunBscZ9Ku1VA9vrsEGT8x0ef+oPiCgqgbGyEqHVtVA3/X0AcGg10Hq8UEsJAeDG199C6R9XYM/GDbjwB5e3eA/ffqXP7JXYUVfTrLx0Vxx21+PFimJcHjyo2/a56IQK88Oj/Ht7XFLBYJUGZo0W88Oj/PcYrNbApnj7QfjTwAPgI9sp5LsdXA5HRNSP8COrbuLbM5GYmAiz2QyVSgWz2YzExER/09COFh6ora1t87iUElVVVV2a9+uvv97l3jyBOHr0aMBj1Wo1Jk+eDKvV2rBMxuHA1VdfjaKiIhw7dqxHgp+WSClRX1+Pr7/+uteWCwYikNdaay4LCcMDg0dgkFBDLwRChApRGh0ShAZ5zy7Ht9nZsFqtUBQFVqsV2dnZSE1NxaDoaEiVCopU4GkMZKUiAalAqASCRlkAAHsvm4yjF46FR9VyDsil1WLjg/Ow8g9PYvHaNBwfE4e9l02GNXI4PFoNRhQWY3D5KQwrLAY02oZCCK0EdIFySQUvFOfipl//FolffwOd2w2BhoyXRlGgUhQIrxdqjxcR1jKMPngY85/5M7TOll9nwUIND6R/835brHW1mPXksxj7TTai8wsQXl0LTeO9fV8qAMFuD7RSQtX4mFpREHksHxdeOQ2b//gM8mubB5T5LgdST+TiybJ8/KeuutuCH6Bhud9Htgr85VQRFlvzum1JXIzOgOfMsZg/JBJ3DRqG+UMi8Zw5tlnQIAD0m+inkRfAEVc91lQWczkcEVE/wQxQN/LtmWitaaher8fbb7+Nn/70p912z67uq1EUBWPHjsUVV1yBCRMmYNy4caiqqurWvjlHjx7F+vXrAx5fV1eH4cOH+3/OzMzEkSNHWq1w19PsdjuOHz/ea8sFA9Hea60lTatr6YWAFhqEqFS4KdQEbP8KW4uKWyysUFBYiFM3TYcqJAhKtQfS5YQUKkAqAATUIcGIvud2AIBbr8PqZ36DBb95BnE5h6FrDBoVlQoloyx4dvXzOHrh+c3m5dbrsObphZj/zJ9hLjkJndOJyqFDUBE5HKblf4JJp8We+ppOVyzbVV+LQZ9+ivO+/Q6qNrKQUiVQMygMwXV2mEtOYsLOXdh11eUAGpaoXbxzFyKsZfCOGIHsqZfCpVedUaLapnjwz5pylHhc0EMg5OWXcd2XWdAEmP08ndbtwY1PLMGR9K1wvboWugsvgksqPd4UtKHvjRv2VvreNC1T3ZG/E51QtVk+urKxQIRb8bTQrersIwCo0bAnqGk1u87+foiIqHcwAOpm7TUNTU5Oxo033oj333+/F2fVtsrKSnz44YfYvHkzhBAYOnQohgwZ0m5fmUDdfPPNHRqv1WqxcOFCfznnjIwMHD9+vEtz6AohBKqrq1tv/tlHOtKgtml1LQ8kDEIFp1TgVSQ+q6/CmDYKK5ysq8WImlqcv3wJDi54Ct46O6QiIdQaqEOCcf7yJdCEfl+p7PiYODz21muY+PkOXLJzFyCBPVOnIOuKy1rdW3N8TBwWr03DhJ27YCq1+vfJBBs0GFpyGC5IuKWETqj8y6YCXW70tb0Gkz7b4V/21hIBAIqER6dDvZTQOZ0wlVoBAKOOHPUHZ3qnE4rBgJORw/D2M0/A9INo/zW211Vj2akC1EkFCoALv9qNlb9fBnUngx8fFYAxO7/Gsdtn44utH6FKo+nR4KepWsWLbIcNKSVHMNYQjMEqDSSAnfU1cEil038nrTFptAhWqWFTvHBBntXJoO+zeM2r2TX9oMHVWOShu34/RETUPRgA9YF//vOfyMnJwZQpU1BXV9fX0/GTUkJKifLycrjd7nb7ygQq0MBBq9Vi9OjRsFqt/nLOU6dOxd/+9rdO37s7+Pa+tFZcoD9orw+LxTS0xcIKNTYb3OGDoBtmxtCrLscPvvgXita9ifrjhQgaZUH0Pbc3C3583HodvrzmKnx5zVUBz9Gt1/kzLj7VUkG1xwkVgMEqNeoULyq9bvy+LB/3hY/A5AB68+S6HLj6wMF27y9VAvbgIAyvrELV0CEoG2aG1unC/Gf+jNGNJbqdwUEILj+F2Ooa3Pv75xHz8Y8BhwP1n36CrANZOL8xcJu67XP8/sEF3bbGWAUgPvsAjj/wIDYtfxZoJZDsCW4AhzwOHLJ9vxTOt1QvTKVGjeLFKa8bfyg/jhXD42BUdf5/K75iCZVeN1zdVDWyKwQADQSGqtTQqlQo87rhlA2BmX8ZpWjYE6dTqRCu1pzxQUOV4oHN5Q1ozxgREfUOBkB9wOFw4Pjx47jvvvvw5ptvwmq1dul6vjer3cUXCLlcrjb7ygQqKiqq3X1Gw4cPx4gRI6BSqWC32/3lnP/yl7+029+op6lUKowYMaLV4gL9QXt9WEZd/oMzCivU2GyoVwuERA5H+GWTAQCaUCNiUu7v9fkrAGyKF2oh4JAS9R4nVlUUY6RW3+4n6zqVgMvQfgCv0mgxovgE3FoNrJHDsfeyyZi4cxcsJ0qh83hhtURDCgEbJMyFxRh10ordL6/G8Pc/RNiRo5jrcMCp06F2UChGHjnWIxssp330MYaUnULas79ttUhDdwiursFN699CZEERikZZ8P49t8PeJND15bSqFS9UaNgHk+924tGTR/FExKhOZzp8xRLSKoqQ47TDDdknS+GGCjUuDxkErVDhYoMRk4NCUeJ2NczLZYe7MQhSQ0BAQNuY5ZFAwA1fiYio7zAA6iEOhwOZmZnIzs7GunXrcOzYMQCAxWLB8OHDUV5ejhMnTqCurg5qtRpSyoCrpDXVNPjRaDR44okn8Pvf/x5bt27Ffffdh5KSkk5d11cNzeFwICMjo0v7gd59913Ex8e3OWb48OFQqVRnlHPetGlTtwZ3HaVSqTBo0CCsW7furCqF3VG+PixVigdSSv/rxtFYjSsyxNis8Wm9wwHV0HCEDDcj/umFUPVixqE1LgAqXw8ZALWKB0ddCv5QfhwzjEMxQqtrca9FoiEE+yZfgot37mq7PLcxBPawUJyIHIZXn1qE4KAgJJZXYYjbC3VoGIZpdXBDQgsBdYgRVbZajFy5GuaSk1B7GroHhQEwWXuuqIgAcP7eb7E4dTHSb78ZJ6Mj2yzb3ZpB1jI8+sRSTNzxNfT1Tv8yPQnArdVA5/6+G5KiUuG2v67H88uX4H8/ubrZdZTGcwQALyRKPK4uZzpidAY8P2w0PrZV4L2actilAiElXJCoVbyt9jYaodKiVjYcl1JBZ0o3qAGMaaXhrX9etZV4r7YMdYoCFST0KrV/idsBZ11ADV+JiKhvib58c3m6SZMmyaysrL6eRpfl5OQgNTUV33zzDSoqKlod17QvjkqlwpAhQ3Dq1KlOv+EPDw9Hfn4+wsLC4HQ6cf311+Pzzz+Hx9NSa8fAqdVqTJkyBa+99lqn9wPdf//9ePXVV894XKfTwWg0QkrZrJxzYmIi0tPTMXv2bHzwwQddmn9nqdVqxMTE4N1338WECRP6ZA7dxSUVLLbmNVua4+vDMrqxOpdOqOB0OpGZmYn/5eViZ6gOnikXnxXBD9BQiGDK5zswYecuCAjk/vAH2D55Ai7anY3IsnLUjxiB8isux4PDRzd782pTPJj73S6s+8HVMNrsLV5bnnce/vmLO/HdcDP2XDYZGoMBDqlg8n+344Elf4LpVCWU2BhUKl7YvR4MLiiCw6DH4IpKaN1d+++royQaghJnUBDqQo0oHD0Kq5/5TcAZoZ9u2ISHn3q+wxkqRSWQ+vZaHJh8yRnHVGjIhmiEQIRai/lDIrsl0+GSCvY6bChrLCaQoA9GtqMOX9lrcNTtgFYIjDeE4OYwE3RC1ew1rpUSlVIJaB9RmFDh0qAwXBUyGJMCWFZ5+rx8gffX9TVYU1GCKsVzRgZosErTbb8XIuoeQojdUspJfT0P6n0MgLqZ0+nEjBkzsGfPHpw6dapD52q1WgQFBaG2trbNIEgI4f8fq2+cEAIzZszAQw89hKSkJEgp8fLLL2PhwoUdbpLaErVajauuugoZGRmdzoQcPXoUP//5z3H8+HGEhobimWeewSWXXIKFCxeisIXeMwkJCXjvvfdw6623diqL1VlCCISGhsJgMOCZZ57BL3/5y167d0/qyObsjNpTeK3qJKqU3n1z35pRR45i4cLfY0zOQag9Da9nj1YDt06HmkFhUEvAbdChPHIE/rP0KaT+6Npmb2K311Vj26YNePSRxxFss3+fCRICYtw4ZK97FcuHhZ3xxrXcXocl9z6MuIOH4XG5YA8OQpC9vuHeWi1MJ0rbbfraUxQ0vFYVlcChcQl49O2/tZsJGlJyAv+Y+pNOL8+TAD66/Sa88ttHmy2JUwEwCBWChQpqIXDXoGG4IXRoJ+/SeW29xiO1Ouyqr8XX9TU44qyHUyoYrtHhWmM4Lgse1C17cwL9oIGIzg4MgAYuBkDdbOvWrXjkkUdw5MiRDr9p9220j4qKQmlpKfLz85sdHzx4MFQqFYKDgzF06FBYrVbY7XbYbDZIKREeHo6IiAgMGjQIZWVlKCgo6Jbgxyc6Ohqvvvpqt5eC9mUdWirn7HQ6MWXKFGRnZ3frPdsSEREBr9cLs9mMlStXnjWlr7tDa59cn+7r+hosKy9ExVkQAGmdLqyYdS8u2LcfooV/rrxqNarMETDUO+DWqFF8wfmo3/wBJg82NRtnUzx4v+goTKvWIH7XNxg0aDAGz70H2hkzkeGy4e/VpVAAhKu/Xxlc6fUg+nAubn/6j/4S3S69HtbI4RCKgkt2fN3Dzz4wUgiseXIB3p93R7PHm5bv1tfacP/zK6H3dP3fBJdGgz/+ZSk+S274b0MLgREaLSoVb59nOgJ9jfcUVoEj6j8YAA1c3APUzYobywl3JrBUqVT42c9+huXLlwMAPv74Y2RmZgIApk2bBiklFi1aBKvVCrPZjMGDB+PEiRP+80+dOtXhrFNH1NfX90gp6LbKOev1erz11luYNWsW9u/f3+33bondbofRaITFYunXhQ9a0l4fFp8JBiOGqDWoVDx9Xop40uc7EZ9zyB/8+Pac+Egh4DXocSpiKIYUFCO85ATs2zKBn9/a7DrlHg/26TWwPvar5m9MhWxzj9S+uFHY30KJ7l/+4S+4eMfXfZYBakpIiQf/uAI5ExNxaMI4AM3Ld4dVVWFQRVW33U/n8eCplMfxrAD+O3M6goRApeKFBgLmxqCjLT3ZJyfQ13hP8TV87csgjIiI2sYAqJtFRUXBYOjcp3xSSgwbNsyf/UhOTkZycrL/eHV1NbRaLerq6vDNN990y3w7IigoqE9KQSckJGD79u249NJLceTIkW7NarUkPDwcF1xwAVatWtWrhQ98hTNKSkq6tRFtZ+iECosiLPj1yaOwBbiPoqdcvONraBr3sUkAEKIhCGr8kEGlKNC4PZBCoD7YAJ3TiYjS5pUVW+qD1LQ88e9No2DWaGFzeXHS6/YvXfLIhipkSgsluvf8YDJ+tmFTz/8CAqTxePDCHQ8g9R9/Q0H8aMx/5s+IO3AQxppaaHrgvxkBYPEji3Fw0sVQoqKaFQNoqWlqqccFq8eFvfU2HHLX4/TcohpAhEqL54eNRIyu7QDqbNfXQRgREbWNAVA3S0pKgsViQUFBQYfLNyuK0mrmKCcnp1ezIC0ZM2ZMn2VEwsLC8N577yElJQWHDh2C3W6HoihwuVzQarWor6+H1+vtcnCk0+nwi1/8Ar/97W97NfjwFc5obS9UXxijC8YLw+Lwp1OFKHW7YEPfBEJqATS83ZYN2RYpAdE87+LUaOBWFATZ61FvioAlZnSz4+31Qcpx2jE/PKrZ0qUwlRrFHler8/Jo1fCo1dD2cEDeEUH2eixa9Huse+SXiMs5iMGVVT16P41Xwd+vmok9r/8NMnnmGZmOfJcDj504hMoAruUFUKq4cc+JowCAS7Uh+M2wkQhX62BTPPhnTTlKPC5EaXS4MSyiS/2GiIhoYOMeoB6Qk5ODX/3qV/jvf//b4XNHjhyJ48ePN3vM6XRi8uTJ+Pbbb7tphh0nhMDLL7+MBx54AEBDtuK9997DmjVrUF1djUsuuQQrVqyAyWRq50pdc/p+oalTp2LHjh3+n+vq6nD//fejurq6Q8GQTqeDEAJDhw7FkiVLMG/evB58Fs35CmdkZ2fD7Xa3WA2vL0tw+/ZUnPS4UOF1o8zlxr76ahT3cIeWIABD1FokbfsC9/zyUahO+0DB9y+XolKh0myCweGA1GigGT8eQRn/Apr8zjJqT7W6x0cF+DftN90/stdRi0/s1a3O7/q338fc5WsQUdZzy047SgKojBiKIxech0u/2Nkr9xQAoNMBy5cDY8YASUmAXg+XVHBdQdf/zUrUGHDM44QDgAIJFQSChMBvho7E5SGDunx9Ihq4uAdo4OJHaD0gISEBW7duxXPPPYdnn322Q/uBCgoKkJOT0+xT/4yMjD4NfgA0qziXk5ODG2+8EYcPH/Yf/+6777Bp0yasXLkS8+fP75E5tLZE7PT9Q9dccw3S0tLw1Vdf4csvv0RlZaU/uyaE8PcbklJi6NChCA4Ohk6nw6lTpxAaGtrry/wyMzNRWFgIt9uN2NhYCCFgMpmQl5fXLY1ou6q15TxHnHb86VQhyj1uuBuzM1ohoJaAB0CVDDwAVQEYBBUcAhiiUuM64xAMUWsb9k/cOgeql9cDWVlAk5LuAoBUq+GOikIwJERYGPQjR0G1alWz4Adovw+SSaM947l+Utd23qJsmBn1oaFwV1ZB2w2FBbqDolJBpSiY9L8ve+weLe55crmAxYuBQYOAsDC4U1Pwq6SJgF7XrBCDb/9UR/oWZXuad/RRIFErJZ4vP463ghKYCSIiog7j/zl6iF6vxzPPPIP77rsPFoulQ+empqY2+9T/hRde6IkpdlhOTg6cTicefPDBZsGPj9frxaOPPopZs2Z1eyaoI0vEwsLC8OSTTwJoyK78+9//xrZt2+DxeDB06FBERERg7dq1KC4uhsfT8Ib41KlT0Gq1fVL4wFc4w2g0NmueaDQa4XA4eqTwRHcYow/GiyPGnLHZG2hYcvad047/2ipQ5HU32++hbfxSGr9UEDCq1HBCwgCB4Vo9Zg0yN980vnYt8PDDwKFDQHU1oNUCI0dCvPIKDBUVQHExEBXlzz6cboLB2OIenzM27VdVAWlpwLFjSDIPxuE5t8Ct1bb4Bn7vZZNhjRyO8LJyaGttPfNL7iABQCiKv2Fsb5I2G2C3Q544Ae+jj+KXFyfivXtvx8/Xbzqjgt6apxcG3LeotQDKBon7ig7i+rAILokjIqIO6fElcEKI6QBWoWGP62tSyudbG3uuLIE7XWJiYsAZHJVKhTFjxmDp0qXIycnBwYMH8dZbb/XwDAMzduxY/OlPf8Jdd92FmpqaVsfNmTMHr7/+erfdtyeWiJ1Ne258pdOtVqs/AySlRF5eXr8vxe1bUnbC7UKN4sEgtQbDNTpMMBhR4nZ1rFyw0wlkZrYb7LSmzfLECoBnnwX++MeGPUZobDgKoChqBAbZ7dA5XHAZdDg2dgzSnv0tjo+Jw6gjR/Hw08tw4e690Dtb3y/U3RoCxzPZg4NQbwzBUGt5j927pQyQfzmiEA2ZOSFgDwmGolbBq1ZD4/GivkkPpWPnn4fFa9PazQQ1rWTXVgClAvBYeBRuCIvorqdJRAMAl8ANXD0aAAkh1AAOA7gGQBGAXQBuk1LmtDT+XA2AIiMjm5WrbktQUBBCQkJgt9vhcrng8fR9Hxbg+x5FN998M1566SW4XK2/2Zs6dSq2b9/eqftUVVUhLS0Nx44dQ3x8PFJSUrBjx44eCRDa6j/Um872PUA9qbd7trR4v6++Bn72M6C0tNnYtv5lrBw0CPdsex81Q4dA63Th2nc347b/WwfziZPQ9MJyOEUloABQKxJSCAgp4dWokTd2DPZPSMSNb/yjR+7bVvADNARmUghACHjVaqgg4dLqUDR6VEPhCikxorAYVUOHYM1TC8+orNeU1unCc/NSMPrgYWjcnoACqEt0wZg1eBjLThNRQBgADVw9vWZgCoBcKeUxABBCbALwUwAtBkDnqkGDBgUcANXX13e4elxP8u2Z0Wg0UKka3lAYDIY2A6D4+PhO3Wvz5s245557UFtbC0VRoFKpsGLFCtx+++09skSsrf5DPenkyZNYuHChP8hbvnw5Vq1a1SwjZTab/RmpczX4AXq/XHCz+zkcwJO/A557rsPXCa+uxrsTp+Hp11Zi59VXIeOOm/Hvm5Mx6fOdSProY1yx5T/Qut0B9Qg6va9Re2OlSgUpBNSKF4paDY9WA69Gg+JRFjy66TX86D//BXogAGov+AEas1KN++t8ZcqFRkGwrQ71IcGQKhXqg4OgczphOq1U+ekm7NwFc8lJaNwenLBEAUKgqjGAMpecxISdu84IoL5x2VFgPY5RhmA2HiUiolb1dAAUBaCwyc9FAC5tOkAIcT+A+4GGCmjnoieeeAJ33XVXX0+jw9RqNTQaDbRaLdRqNYKCgjBt2jR88803+Pzzz1s8R6PR+Bu5dkRNTQ3uueceVFY2bDwXQsDj8aCyshKvv/46zGYzKioqYDKZ/Bkgm80Gs9ncJ72JOmvNmjV49NFH/Zm9HTt24M0338SKFSuQnp7eJxmps6n/UK/ZsweYOxfIzu70JTQAnvzVItyStQ32UCPceh12XnMldl5zJd4+MAeLFv0eQ0ut0DmcDT2KjCH4+keXYUjZKZhKrXDpdDCfOIngOjtUHg8MDmerQYaiUkGgIdtjCwuFscYGqVJB0WhQETkCJyOHY8PTv8UvbB5c98JLAc3/9Hu1txbgjAa07VzbFwAZ6h0YUVgMj1aDk1EjEGSvR9XQISgbZm7zfqZSK3ROJ+qDg74vey5EuwFUORR4nPVYU1mM58yxzAQREdEZejoAavdDQynlKwBeARqWwPXwfPrELbfcgt/97nfIz89vc5xG0/DXcTYsexNCQK1WIywsDB6Px18g4Nprr0VcXNwZVeCAhoCps6Ww09LSUFtbC6Ahw+Sv0uVwwOFwQEoJrVaLvLy8ZkvE+qJoQWeVlZU1C358PB6Pv3hEb2ekzqa9UL3C4WgocvDEE80qyrWkofNQ24KcLtz6f69j/cJfNXv86IXnY/4/N2DCzl0wlVpbrH7WbImXS4VqgwHBdjuElHDq9Thy4fn4dtIlOHLhWIzOPYYffrwNBns9dC4XagcPhjM4CFnTr8bB8Rci57JLEavT46ez5kFV0jzb3NJzCDTj1JqO/EMtAKi9Xqi9Xow6mo/qsFBYI4dj72WT2zyvbJgZLr0eg09VoMrX+0nKgAKoOulFqduFvQ4bG5ISEdEZejoAKgLQtARaNICSHr7nWUev1yMjIwO33HILvvvuO38ZXq1WC0VR4PV6oVar/YFDoMvleopKpYJWq4XJZIJarW72pliv1yMhIQHZ2dl4//33kZaWhqqqqi73AcrNzYWiKBBCNFvmJoSAoigYN24c6urq+vUSsQULFjQLflQqFRSloZeOx+PBggULurV4RHucTidSU1Ob7T2yWq2orKw8oxLhOeGzz4DkZKCNAh6nCyQImvrpZ2cEQADg1uva3OPi1uuw5umFzTb51w4JhzVyOF58eiHym2zy3w5g0wNz8YMvs/Czaid2R4Rh56WTYNdpoBMqjNRo8dj2vVBlZ/uLODR9Dt2pq59SGW11+PCOm9stgOCrsmesqcGIwuJme4DaC6DcAEq9bnzntGNKUBhcUsEehw3lvbTXjIiIzm49HQDtAjBGCBELoBjAbAC39/A9z0oJCQnYuXMnrrzyShw9ehRSShgMBlRUVABoKH4wfPhwKIrS5wGQRqPB1KlT8cgjj6CsrKzFZVF6vR6zZ8/G7Nmzu+We8fHxUKlU/rLUvgyQlBJqtRqTJk3CwoULz4qiBZ2Vm5vr/963n6ppENT0eG842/sPdQuHo6Fy3OuvA2+/3alLtLdULNRuhxYCSuMRjRAYptbBIRVUnFYC/HTHx8ThqbVpuPrrvQg5eRL5pqHYd9lkuPV6aCChoKG3UrRGjx8OMuPmmy+A8bMvkFhchCu+zcWxy3+AoSHGhjf0X6xp6MdzllNJibvWvIavpl3RZhDUUoBYNXSIvwpcewGUBxL/sp1CmEqNL+zVKPd6Aqs2SERE57weDYCklB4hxHwAH6OhDPbfpJQHevKeZ7OwsDC88cYb/iVH9fX1sNvtcLvdEEKgvLwcNpsNgwYNQnV16x3oe5JWq8XEiROxZs2aXl0ClZKSghUrVqCyshIOh8MfAAFAaGgoUlJS+qxoQXeJj4/Hjh07AMBf5MEX/ABAbGwsPvzwQ2RmZkIIgWnTpuHaa6/tsSCvv/YfClhODpCaCuTnA90YXJ4eEJnGJeL3plH4pt4GCOBigxHjDSH4fdlxuKWEcDgw8csshJ4sxSmzCd9cNhmaIAMkAKNQY9ggI2becgf+WnUCR131Dcu8AHggoBcCcbqghr0s3x0EUucAhYXQOBwYazBgrMUCrFoF9KflilJieGEx7nt+FXZdObXNxqjHx8Rh8dq0NpcStnobAOVeD16sLIEEYIBAiFqDKsUDm8vLPUJERANYj/cB6ohztQz26ZqWX/Z4PPjHP/7hfzPqW242b948PPnkkzh58iTq6up6ZV5qtRr33XcfVq5c2e1vulsqbx0W1nxtfktV4EJDQ7Fu3TokJyd36r4tVVzr7iatgSorK0NkZGSLe7zUajXGjx+PgwcP+ivs6XQ6jB///+3deXzcVbn48c+ZPclkbZIuabrQQiBqKFCWgkjD1oIFURFFlB31Kl30guKC4uV6rwsCLbgBhbqCP0GlFtpygbAIFGhpKTRQ2pK0aZI2+57Zz++Pk5lM9m0m6/N+vYaQme/M98w336TfZ55znudEHnroobgEoxOq/1A4k1NRMbgeQF4vrFhhihzU14PfH7+xPfEEfOYzPe4u9Xn427YXuOgHd5JeUYnD60W7XCTNnceBn/8vZccu6DIdq98+RVp1vh+/H9xuaGkxDWELCmDTJnjmGfjCF6CtbdhvZaDCBgNtM9h9aIuFlpRkGjum/A2lMepwWYDZNgdOZeFI0E+axcbNGbNkjZAQU5iUwZ66JAAaB/rqRxO+f+PGjTz00EP443kRB0yfPp0NGzbE/KI3OrAJBAIopXA6nTz88MM9ptA1NTWxbt069u/f32egNFjdK66Bmd53zz33cPPNN4/oPQ1XX2OaP38+paWlPYIju93O2WefzVNPPRXzoHTC9B8KZ3LKykwg5HLBQJmPLVtgzRqoqoKGhh7rYmImMxMuvxwqK82YLrgAli0zwZnXS2jFCoK730b7/ejEJBxtbajooKXb8e2zL1L0+5k/P1IQgJISyM6Ge+81QWFhIezYYYKkYb7ngYomxOJIhiwWmtNSsQSDQ2qMOlJOFLl2J42hIBbgy6nT+WTytLjuUwgxfkkANHVJADTOhS9S3377bZqbmwkGg4RCoUgxgpqamgGryw3WMcccQ3FxcUwvepuampg/fz719fX0dq794Q9/iEuJ8P6yLTabjYqKijHNBN1yyy2RIO+iiy7i1ltvpaKiAqUUDocDpRQejwcwjXQffPDBuGRjxn0VuOhMTl+Zj97O1/Xr4c47IRSCw4fjFwBZrRCManzqcsGiRfDrX5ux/epX0NoKCxeabbsHLYP9mUa/n+yo6mdVVWCxwO23ww03mGBx1SrYuxeOHBmw0t1wjeRo6o5S1uXz5qCVGnRj1OHonrWyAtOtdppCQVzKwjlJaZyWkCxFEYSYoiQAmrriXQRBjFBRUREHDhygvr4ei8USKU/t8/mora3llltu4YEHHmD//v20t7f3GmQMlt1uj+HIjXB5677GdfXVV5OTk8O5554b0/2Ot4pr0bKysrrse/369bS1tUWazobX41itVkKhEO3t7XFbj5Ofnz9m/YcGpajIZH78/s7MR1aWCSLKyszjvQUROTkmGAkHCNFBSix1f12PB958E847DxwOqKkxYz5wwGSIEhJMEOfxwFB+ptHvJyurMwPU0mIConAvrPx8eOop2LABfvlL2LcvZm91pEKAtloJWq1UzZqJ7igEMtjGqMNhVwp/1N+eEFAd9KMBP5qX2xp5o71ZiiIIIcQUIwHQOFdaWkplZSWhUAitdeRCXmtNRUUF999/P3V1dTidTjIyMqiursbr9Q5rXy0tLTGv/LV///4B+xqdf/75/O1vf+Ozn/1sTPcbNloV14bbUDQnJ4fExEQaGhoiP1ulFMGOi+uEhIS4Nnsd18UlystNsOB2d2mGOWAQUVhoAo76+vgGQL0JBqGx0QRA4e/b203AtmBBz6BlMKLfT0lJ10xYbq55PNrvf2+KP4wjNdOzcfp8OD0e7D4ffocdrdSgG6P2xRL1NVVZCSloCAXRQFDrXkqZm/PIhkJDpCjCurrDfDYli4ZgQEplCyHEJCcB0DgUvpDetm0bd911V2QqVHh6VLhBqN/vp6KiAqvVGlnE7nK5+PDDDwHIzMykqqrvT1XDmYbw/8ej8tfMmTMHzEpprbnuuuu44IILhr3ep7uBKq4tXLgwJvsJG8lUssLCQo477jiOHj1KIBCI/LzBZOXy8vImTLPXmBts5qM7p9OsEVq92gQMBw6M7rjDU9Xq601RgnAQtH8/JCb2HrT0J/r9hNdCZWd3roWKDrSfeQZ27oxr4YfB9EfqztXejsPnx+HzMbOsnIDNht/hwOdyDKoxathsi41cRwLnJ6VjVfCOtw00nJzgZnFCMgf9Hv7zyAFadYgQJjCyYKrAuS02Qkrj0ZqZVnuk8Ed5wEext43DdeVYQEplCyHEJCdrgMaZ8IX0tm3baGlpGXD7cNPShQsX4nK50FqzZ88e/H4/LpcLh8NBQ0NDj+cppbDZbFgslkhxhXisNbnyyit57LHHBtzOarVyxx138IMf/CAm+x3NNUCxKCZQXFzMDTfcwO7du0etCtyEMNw1QNHPLyoyU8KG2Qeoh/R0s7amubnvbZQy2R6nEw4d6qzMlpkJH/vY8EtXh99PeXnf1fBWroT77x/6aw/DUP71CDmdBCwKq8+PJRRCK4XP6aD4pALu+/F3BqwC50Tx3cxczklKH3Bf+7xt/Ly2jNpgAJvHw6nbtjO3po6M3LlsOCkfn9NButV8/hfSmoN+L0E0DqVIttjw6BA2FMc4XFIqW4hJTNYATV2SARpHvF4vq1evZseOHYMKfsBkT3w+HwcPHuS4444DwOVyYbVaycjIiHxta2sjOzubqqoqamtrCQQCkaajYAKQzMxMzjzzzJi+p0OHDg36fQxlWtpA082ysrK45557+qwCF8sCCP01FH3//fe57bbbWLZsWb9T4vLz83nhhRfYunUrRUVFADHtAzTc6Xmx4NMhdnpaqOle2WwwhpL56Ov5y5eb2803w6c+BR3Nh4fFaoWNG81rvf12/9u63Wb7hQvNWhy3G77xDbj11oHH3Zfw+wmXBf/Tn3oGQocPD++1h6F7T6T+WL1eLA4H2qLQyooKhbAmJ/PCDVdz9LhjSe3IKymgRYewANOtDqbZ7BS4kvhcShZuy+D+yTrWmcivZh7L+zu3M/OWb+Mur8Dl9eFxOpgxPYvf/Ojb+E84HqUUbaEggY5QLsNiw221obXmSNBPVcDPLk+LlMoWQohJRgKgcSR8IV1fXz/o5yQmJtLW1kZbWxtlZWUEAgGcTieLFy9m1apVVFdXd7ngjc40eL1egsFgZPF9ZWUlZ5xxBl//+teZM2dOj+cOR/RUtP5YrdZBT0sb7HSzm2++mc9//vNdKq7Fow9Qbw1FvV4vbW1tNDc384c//IHNmzcPOCXO6XRy6aWXDrvnUV/Cx+vgwYM0NjailGLmzJk88sgjLFq0KKb76q7f3jaDnVqUn28yPQNlPgby8Y+bPkJFRWZ9zJEjcPRo5zqiuXMhLw/uvttMm+tOKUhLgx//GB54AC680Kz16c5qhdRUOHiwM2OVmAgf/ejIgp+wgcqCz57dOVVwnFHBIMpiAW2mo9qbmplbU0eCshBA41JWPDpEsrINLvvST38oh89PwXe+D3vei2QPXdU1zK2r46Yf/4z/evh+bC4XTaEACrB2NEoFkyF3KQs+HaI6EN/2A0IIIUafTIEbR9avX8+dd97JwYMHB/2ctLQ02tvbCQaDpKamkpmZOeCF9sGDB7nyyit5/fXXI+tiotfIhPv0pKenk5KSMqKyyP1NRQtTSpGenk5JSUmva4AaGhr4yU9+whNPPIHf78fn80XKgY+H3jXdG4oCfPDBB7S2tqKUIiMjg2AwOCZjDE/Pe+utt2hqagLMmiilFKmpqTz33HNxC4J8OsT3qkr40OfpuLi1TIypRV4v3HGHKVPt9ZrKbTNmmKCmtLSzhPWMGXDNNSbQ8flM0YO5c+GHP4Tf/nZofYuGMraOKYHa78eXmIhqa0XZ7VgLTsQSboh6xRVm3+ONwwE2mwnOPB6w2aj/3vf4yX98eehB8kCBYB+9k4IlJdROS+f3P7qNHUvPIqihWQewoZhlc0TWBUmzVCEmP5kCN3VJBmgUeDyeyNQmpVSfU5tycnJwuYa24La5uZnk5GTcbjeXX375gFOt7r//flavXt2lIADQ5ftwkYXKykoqKyvZu3cvp59+Or/+9a+54oorhnTx3tdUNOhch5ScnMwjjzzSa/CzceNGrrzyStp66W4/c+ZMsrOzI9PNysrKYl7FbjAKCwvJzc2lvr6ekpISbDZbZLxJSUnk5uailBqTMRYVFXHw4MFI8KO1xmq1EggEaGxs5Prrr+e1116LS0C2y9NCVcBPAM2MqAXn435qkdNppq1Nn96z70509bnly+GNN3rPTK1YMfKMVW+2boX33iPU0kJtdiYt7iRC6alMP1xOW+mH6Ge2Mv3CZXDSSbB9u1mrNI4+5Io0aI2qypc+bRr/kz2/9waw3YUzPgcPwu9+Z45vIGB+LlVVpujE6tUmY9hHBUGr202WP8hnm73kp04n3Wrj8aZqSv1ejgT9XQL17I6xCCGEmFwkAIqz8JSznTt3RspTr127lhNPPJE///nPXbIq4QvpvXv3Dvr1w6WSjz/+eH7605/2eyFbXV3NypUrh/U+WlpauPrqq7nzzjv55z//OaRsUHgq2o033siLL75IMBiMlKbOzMzk0Ucf5bTTTuuyTsVms/Hb3/6Wbdu29fm6lZWVOJ1Opk2bhtvtjksVu8FwOp2sXbs2Mi2vpqYGi8WC1WolNzc38l7dbjetra386Ec/4lvf+hZpaWmsXr2ayy67LG4ZofLycho7pmlprSNNVrXWhEIhKisr4xaQVXd8ou9Snb2NJszUosFWnwuvyemur/tHorgYbrsNffQoWmtSK46QaLdTO2sGbQku8Hh4cf8eLluxAsdDD5mGqG+/bdY8dfvAY8wo1TUo0xoefhjHeedx2kB/U6IzPvX15qY1HHusmWLYvT9UPz9DlZ3NMfMXckzyNABm2ZxdpmqmWWyRLNS4zFIKIYQYEQmA4sjr9bJy5Upef/31LqWgtdbs2rWL888/n5KSksjFb/hC+oorrmDPnj2D2kd4PcfatWt7vYgOZ5/++te/8uijj474Pe3bt48rrriCHTt2DOmiPSUlhba2NpxOZ5dKaS0tLXz/+9/nF7/4BbfeeitlZWVUVlZGMhYDKS0tJSUlhZaWFrKzs+PaL6c/0Q1Ft27dyuOPP05LS0sko6e1pqamhvb2dg5HLVJ/7bXXyMvL4+9//3tcKr3l5OSglCIUCmG1WiOBSLjXUCgUGnbQOFBmM8tmx6EsNIQCkf1prfF0XGBm2WLfeDdmhtp3Jx6i17dkZcG6dVBZCaEQSmusWmMJBcmqOELQZqUhM4ODWZkmsxZuiPrMM/Cd75jy23Esiz1o0dmocFamvLwza9PX3xSv12wTrgYInVmkw4dNxs5i6Zqh+9KXBv0znNcxJXNQWSghhBATngRAcVRUVMSePXv67INTWVnJihUrWLlyJcuWLcPpdJKfn8+rr77K3Llzey1f3Z3dbuenP/1prxfP27Zt4/LLL495VmTPnj089dRTfOYznxn0c/qrlHbw4EGuv/56ysvL8Xq9gw5+wj744IPIWqWx7JcTbihaWFjIu+++y+7duykpKcHtdtPY2Eh7e3uvz9u7dy9f//rX2bp1a8wzQYWFhcycOZOamppI1b/w+aiUIi0tbWhBY8dFefH27dzwl7+w+9ChSNnuBx54oEvZ7kUuN9k2Oy2+4MSbWjTS6nMj1X19SzBoMjk2G4HEBJTHgwppLMEQzvZ22t1J1M6aydtLTiU/nFlzOuGSS0w57quuMtmgsZ4OZ7GYMTgc5jZ7tilGEc7a9JU1Kyoy2/j9Zj1PczO0tprvfT7zfUpK1wzdEH+GDmUZn1MyhRBCxJwEQHFUXl5OdXV1v9s8++yzvPrqqxQUFLB+/Xry8/NJSUmhqKiI008/PXJx2Refz8fGjRu7VA5raGjga1/7Gn+NVd+TXnz961/n//7v/5g+fTozZsxg3rx5/a496q1SmlIqEhw0Nzfj9/u7NAEdLKUU06ZN4/LLLx/Re4qV7lPiBvOedu7cGZepaE6nk0ceeYTzzjuPxsbGSAGEcBGEOXPmDD5o7Lgo9x48yMpDh9jh9RKAyCf57e3t7Nixg1WrVvHUU0/hdDq5OT1n4k4tilX1uaHqnu1wu03w4/GA3Y5//jzU4cNY/X6s/gDaYqFxejYP/Og7WFyunpm1/Hx48UVYuhTef9+8zlgFQg6HmZY2bRokJ/fM2vQlvJ4nKQmamkzQY7Wa4+P3Q22tuXXP7ozVz1AIIcS4JgFQHOXk5PSZ/YkWvnBcuXIlTz/9NE6nk0WLFvHyyy9z+umnD/j89evX893vfpcFCxawceNGrrnmmkFlj0bi6NGj/Pa3vwVMBbn09HRyc3P7LK0cLvBQVVVFVlZWZDpUS0sLDoeDUChEUlLSkEqAhwWDQaqrq/nP//xPvve97/GFL3yB//3f/+21qEL0tK26ujpefPFF6jr6wqSlpWG1WsnKyuLUU0/loosuGnYfnugpceXl5fzyl7/sN7MVz/VLixYt4rnnnuP666+nsrKSUChEWloac+bM6XPqZA9RF+VFbW184PcTBCyAA1AuFx6vl0AgwN69eyPB3ISfWhSPtTwDic52ZGSYNTOpqSYA8Ptx+QNUzJ+HpamJ9KoaWtNSWH/bGiqPW8gxfWXWUlJMz6DVq00BgcZGEwQpZV7b7zf7jCpOEBd2e+d4+lpX1ZucHLP9kSMm8IleQ2S1mtdNT+89uzMWP0MhhBDjmpTBjiOv10tmZuaATU2tVitaa2bNmsWDDz7YJQtw8cUXs3nz5gH3VVBQwMsvv8ycOXMii95Hm8ViIS0trdfSyuFyzLt37+6yBshutzNr1iza2tqoqKgYdAPYgaSkpPDHP/6RSy+9NFJcYdu2bTz00ENUVFQM6jWsVisnn3wyGzZsGPH6nGuuuYY//OEP/Y73r3/9K0uXLo1bw1Kv1xsJyAZ67YaGBtatW8eHH37IwoULWXXCCaR8//tQVcX65GS+XV5OYzCIBbArBQ4H/lAoElz97Gc/44YbbojJuKec9etNKe2aGhOQhEKdwYJS4HIRyMjA29JMwGbj4AnHce+G35KRlDRw6Wivt/dsSHExfPazJkMUT263KVgQzmyF1+QUFPS/BqipyUx9C39AEt3nyO2Gn/zEFEMYbnYnvN5qxw546CGorjbZqk98As48E956C95912TisrJMQ91bbzWBnBBiwpIy2FNYeE3AeLidcsoperLZvHmzBvq8uVwubbfbtdVq1RkZGfqhhx7q8vw777xTK6X6fQ1Ap6Sk6B/96EcDbhfvm9Vq1SeddJL2eDw9jsWePXv0+eefr/Py8vTcuXN1Xl6ePv/88/XOnTv1+eefr5OTk2M6lvT0dP3SSy/pgoKCEb12ZmamrqqqGtF5UFVVpW02W5/7OOeccyLHofvx2bNnz4j2PVRPPvmkzsjIiJyXdrtdZyQm6iczM7XOzdWbFy7Us+12bQFtBZ0AOtHh0BaLRVssFj179my9efPmUR3zpLJxo9YOh9bmEr/rTSmtp03Teto0HZo9WzcsPUe/8MYr+vW2Ru0NBYe3P49H6/PP1zoz07x+b/uNxc1q1XruXK1POknrvDzz/3l5Zt8DneObN2s9f77WNps5NuGbzWbuH8n5tmeP1rNnD+/9PPro8PcrhBhzwHY9Dq5/5Tb6N5kCF2fLly/n+uuv5+GHH+7xWLgqVygUQmtNYmJijwXpq1at4mc/+9mAmRGHw8HLL78c07EPR7iq2HXXXcehQ4c4ePAgSUlJLF68mHvuuafLtLDoLMTatWv50pe+xO7duyOlvUeqsbGR8847D/8Iq1/V1NQwc+ZM/v73v3dZazUU4X5Ia9as6fH+8vLyuPfee7n11lsjGbKkpCTKy8upqKjgqquu4sUXX+x1Sl+sNTU1cd1110WmIiqlCAQC1AcCXOfxUJKcTOH8+RzndHLU7ycAeCBSmctut5OXlxf/YhRHjphP4D/80FQAu+su88n8ZNDaata49EZrkxUKBFChEKn1DZxjT4ShLt6PrjB36BDs2mUyTvGglFm74+6YmveVr8C8eUNbk1NebjJhM2aYxrThxrPt7eb+4U4f9XrhIx8Z3nODQbjySnPuf/nLw3sNIYQQY2OsI7Do22TMAIXt379fFxQUaLvdrpVSPW52u12fe+65vWZOHn/88QGzFNdcc41esmTJmGeABspWud1u/fGPf1x/8Ytf1OvWrdObN2+OvOfGxka9aNEibbFYxvx99HZLTEzUjz/+uH7ooYe6jHsoqqqq9FVXXaVPOOEEvWTJEv3YY49pj8ejN2/erPPy8nR6ero+4YQTdHJysnY6ndpisWi73a5POumkUckE3XnnnZFzNCEhQScmJuqEhARzjiql70xM1Do9Xe+ZMUOfYbXqRNA2pbTNZtOJiYl6yZIl8R/nffeZT/6jP4232cz9k8Fll3V9b91vSpn3a7GYLERGhtY7dw7+9ffsMVmXvDytZ840rxPLTE/0zW7XeuFCk/VJTzf7HE62ZvNm89z0dK1PPlnrU04xX4f7mu3tWt9zT+ze5//8j8mkCSEmFCQDNGVvYz6A6NtkDoDC9uzZo5csWaITExO1zWaLXDieccYZ/V443nXXXX1emFutVv3kk0/q//iP/xjzIGGot4yMDH3CCSfo3/72t9rj8USmyfU3XSx8s1gsg5oeGMub2+2Oy/S0hx56SM+dO1fPnj1bJycna5vNpq1Wa2RaWXJysj7//POHFXQNxTXXXBPZb2JiYuRmsVi01WrV18ycGZm+5Dn2WP1kQYFe8+Uv6zVr1uiNGzfGfXy6qqpn8BO+2Wzm8Ynu/PM735NSPaelKWUCH7u98/9POmlwF+Aej9Znn6210xmf6W5KmYDKbje31FStc3NNoJKdbd7bcM6R8DS97GzzWsN9zfZ2Eyj3NcVwpO/9hhu0bmwc+vsTQowJCYCm7m3MBxB9mwoBkNZaezwevXHjRr1mzRq9Zs0a/eSTTw544ejxePTpp5/e44LfarXqM844I/KaTqdzzIOa4dzsdrsuKCjQO3fu1B6PZ1BZrzPPPFOnp6eP+ljT09N1enq6zs7OjllQEs4Aud1u7XQ6tdVq1QkJCdpqtWqHw6HdbrfOy8uL+9qafjNAdru+80c/Mp+2P/SQ+Tran3pffbXuctHZPXtx9dWjO554+NGPugYnvQVACQlaJyZ2ZoJmzBg4C9LervXy5V1fK9YBgNOpdXKy1scfr3Vh4dDX+vQnOnM1nNd87TWtZ82K3/sP3xIStH7yyeG/TyHEqJEAaOrexnwA0bepEgAN1549e/S5556rZ8+erTMyMvTs2bP1ueeeG8lCeDwevWTJknE7hWygm8Vi0RkZGXpnx3Se2bNn97t9Xl6e3rlzp54/f/6oZ4LsdrtOSEjQs2fP1k/G4GLH4/FECkGEsz5Wq1XbbDadnJysZ8+erefOndujSEasNTY26oyMjMjUzHCWTSmlMzIydONYf7p95pk6cqFpsXTewvedcYbWTz89dgFaLDQ2msxJXxfYdrsJfhITTfbHajWZkP7OjdG4+LdYtF6woHNa2saNsQ+WPZ6hv2Z7u9bf+15833v3W1qaZIKEmAAkAJq6tzEfQPRNAqCBhdeL9LUOZc+ePbqwsHBQU8jG400ppefPn69/85vf6OOPP77fbS0WSyR79thjj+nMzMxRH6/NZtMnnHBCTKbC7dmzRy9atEjb7XZtsVi0w+HQycnJOj8/X6enp49KBkjrPqrAZWSMLNBrb49NYDJQBmjGjNhmHcbKk0+aQCJ6rU842AuvAQoHPzab1scd1zMDVF+v9Xe/a47FaFz022xmKl5urtlnnIP1Qdmzx2Si4lndrrebUlrfeedYv3shxAAkAJq6N+kDNAl5vV42bNjA3XffzeHDh2lra4s8ZrGYBpShUGishjco6enpaK0HbOiakZFBSUkJr776KjfddBPl5eWM9jmdlpbG4sWL2bRp04h79jQ1NbF06VL279+P1pq0tDRaW1ux2+0UFBTEZB+DHce6devYv3+/6QO0atXwq9AVF5sGnGVlpvqYy9XZsHKo/ZWqq2HWLNMctDfTppmqYEPpMTNeNTXBunWwf7+pdLd0qek/E93EVCnTi2bu3M7qaoWFsHUrfPGLpqLcaDrpJCgtNY1N7723awPS6Mpzg63+NlweDzzzDNx2Gxw40HdVvXg691x4+um+3+NoHg8hRK+kD9DUJQHQJBZufFlaWsqRI0eora3FZrNRWFjInDlzuPjii6msrBzrYfZJKTVgMGO32/nhD3/IzJkz+c53vkNdXd2oBkB2ux232012djb33ntvlya2w1VcXMzq1aspKyvD4/HgcrnIzc1l7dq1I27IOuq8XlixAnbvHnrzy77cfz9885tdgyCrFTIyzH3z53c2yiwp6f1ifKLatQuuvx4qK02gl5hoAqWUFPN+HQ4TYL73Xt9BYjw5HJCW1vNnG8sgeCDhfb3/vimPPVb/xillAvIrr4Qf/MA0WQ0HOzNmmDLuo3E8hBB9kgBo6pI+QJOY0+ns84K8urqao0ePjvKIhqa/QMblcuHz+QiFQuzfv5/FixeTkJAwiqMzkpOTSUpKwuPxUD7cXiTd5Ofn99kvacIpKjIXeX5/Z2CSlWUCk7Iy8/hQA5Obb4bPfx5uuaUzO3LiiSZbEgqZfYD56nabC8wY/WzG3KJF8Npr5riVlsLvfmeyPOGsUFOTOQZjxeczF/Br13YGP16vCUiig+CqKqivN/fHMjsXva/wMRkrWpveSvfdB7/5jQnE7XYTJNbWmvMznK2sqoKjR+Hyy+GnP4VlyyQbJIQQcSQB0BR1yy23DHoanNVqjTRrDbPZbIRCoVGfSmexWCKBgNYaq9XKwoULKSwsJC8vj6NHj4648elQpKenU1dXR3Z2do8mtoMW8EBZEbRUgDsHcgv7DV4nlPJyE4C43bENTLKy4Pe/7/x+yxbzKXpVlXksnAFqaTEXnsP92YxHTqcJGrdsMY1AfT6T7Rnt6W59+fjH4ZhjYPNmk/GorDTNVmMZBPdl61Z4910TeIynab6BQGf2p7bW/NyUgo99zPz86uuhrc2cr9/4Bhx/vGSDhBAijiQAmqL2798/6G2DwSDHHnss9fX11NfXo7UmISGBrKwsPvzwwziOsqdQKITX640EY8nJyaxatQqn08m6deu48cYbefPNNwmMwvQfu91ObW0tDoeD3NxcCgsLh/4itcXw3Eqo/wAC7WBLgPQ8OG8dTJsEFz85OaMTmBQWmilE9fXmwjp6ql1urnl8sikvNxfSHs/YrHHpy7PPwrZtndO7PB6TjUlLi192zuMxAfG3v22yYONVfb2ZttjaChaLGWtVlRm/7iihUFdnMlixzo4JIYSIsIz1AMTYWLhw4ZC2b25u5o477uC4444jOTkZq9WK3+/HZhubGNpms5Gens4jjzwSWZyfn59PUVER3//+90lOTo7r/u12O5mZmUyfPp2CggLWrl078BQ1TwM8uwrWpsAvlblt+AiUPQ8th8FTa76WPQf/7zzY+wQEvHF9H3EXDkzsdhOYVFWZr7EOTJxO84l5QYEJrCwW87WgoOt0rMkkJ8dkOXy+sZ3q1d3+/eYCvqrKjK+11WR/orMy4SDY5Rp5EFxcDBddBCtXju/gB0yWp6bGvP9QyIzX5zP/b7GYtWwpKebYvP++yWh5PCabtn69yfp5J/jfBCGEGAekCMIUVV1dzcyZMwkGg4Pa3m63c8455/CLX/yCW2+9NbJA32azceDAgTiPtpPL5eLkk0/moosu6rMymdfrZcWKFezatYu6urqYT9PLyclh7dq1NDQ09L8+x9MAb/4cDvwLmsvA1zj0nWWdBJ/808TOBo3mAniv10ypKi+f/JW1vF5Tde3998dXAJSRYcYTnu4WDJppaVpDQgKkp8euQp/Xa6rjbd8+NkUfRspuN8cnXNUPTCAUXss2d64J5OvrpViCEHEgRRCmLgmAprD777+fVatWDapqmsPhYP78+dx7770UFhZ2WaDf2trKl770JTweT1zHq5QiJyeHBx98cMD1MeFKavv37+fIkSMEg0GsViupqakkJSXh9/vx+Xx4PB6ampoGdQyUUqSlpfH888+zaNGi/jc+sBGeugr8LUN4h31wpMNFG2DeMrBN0Iv54QQmngbYuQ4aPoS0hXDSKnANsxT3ZPW738GqVeNrClxiorklJZkL/ORksw6oocFMg3M6Y3chv3GjqbIWVep/QgkHO32xWs02SUnmOE700u5CjDMSAE1dEgBNcdXV1Zx77rm8++67/W43a9Ys7HY7t99+OzfccEOvr3PyySdz+PDheA0Vh8PB2WefzVNPPTWoimjRZcBramrIzMxk3rx5kbU64SAuKSmJ733vexw+fJhgMNgjY2RVkJYAudPsPPL7R1lU+Nn+d3z0HfhTwbDfZ6/s6TDrFChcO7GzQYN1YCNsuQ58zaBDoCzgSIblj8CCS8d6dOOH1wunn26mnI2jv+UA2Gzm4t3pNNmM6dPh6qth5szYZee++U1TFj2cRZlIlDIV4fz+/oMgpUxRibS0yVnaXYgxJAHQ1CVFEKa4rKws3nnnHaqrq1mxYgVvvPFGj21mz55Na2srycnJfVY6y8rKYuvWraxatYp33303piW2bTYbDoeDE088kXXr1g26HPRAldSiHysoKIj03mlvbycUCuGmkQvmNpM/A+alQ+FCP863Lofmy+HSv3V9sYDHTHX79/ehYd+w3me//PVQ8SYUrYbLNk3cTNBgeJpM8OOpN98rBaGA+X7LdXBDiWSCwpxO2LDBNN2srx/r0XQVnpLm83Wu+br11vhlLcIFNiYKrU2QGAp1DYDCU+HC2yjVeSyji0eUlnZW2pvs0z2FECLGJAMkujh8+DCnnXYaNTU1KKXIzMykvb0du91OQUEBmzZt6jcACWdd9u3bxz333ENZWRnBYBCl1JDX4thsNq644gqys7M599xzufDCC+PaCyc89vLycnLcAQpLv4azr48IrtkDmR2ZmNpi2PQFqHknbmOLcKTBRb+HhZM4C/Laf8O2/zJBj9XVeWEb9IDFBmf8EJb8YKxHOb7s2gVf+ALs3TvWI+ldQgLccw989auxfd1//cu87/Z28/14+fdMKROMBIMmwzOc5/r95vm9ZYDS0iA1tbMKoKwNEmJYJAM0dUkAJHoIr58JFzpwuVzk5uaydu1a8ofwj2v067S3t1NVVTXodUIOh4Nf/vKX3HzzzcN9GyPzwHxoLu37ccc0SMqG+vdGbUid+06Fy5+BmaeN/r5Hw+Zr4b0/AdoEQGFBD6Agdykcf2WkZ9KkzoYNhddrpoPdeuv4CAQcDpO5UMoURvjf/4Veps+OiNdrMh/hIggDvW+nEz79abMeLZaNoB0OE5BYraayW3o63Hij+f5Pf4J9+4b+MwkH/larWf8TvQYoEDD3BwJdS77L2iAhhkQCoKlLpsCJHvLz89m0aVOXQgd9VjobwusEAgF+/etfU1xc3GefHqUUKSkpnHLKKdx0002xeDvD01zW/+O+WnMbC75GeHQJXPRnOPYy00S18SC0V0NiFqTMm9iBQdpCs+YnFOicAhTukYKGyjehatfk65k0Uk4n/Od/wrx5Zq3NWBcGCAQ6F/lbLPFpRut0wm23wbXXmsAjuqqlxWJuwWBnIYG0NDj/fDNtMLoox4wZcNVVpmLhcPh8psiD1dq5rmfGDPja12DRIvPazc1De02lTEnsvDzTR8njMWt/EhPNdMfGxvg3lhVCiElKMkBiVDU1NXHOOeewb98+2jumrYSnximlyM3N5bjjjhtytinm7raBHlyJ8LFjgRmnQFsNtFaa8SorJM2A9IUTt2CCpwnWz++6Bigc/IQpq/le2WD6KXBF0cQN+OKhqQnuvhueftqUoA432hwLVit87GOmOWqsMxNeL6xYAW+/bQI+r7drOexwEORymQxJf8UDvF546in41a9g504T0Az3mNnt8JGPwJ//DK+9ZsrAt7YO7rlKmdvs2fDkk3DCCV2DtdJS+OlPTWCZnd35vKoq815vvz32mTYhJinJAE1dkgESoyolJYU///nPrF69moMHD9LY2IhSCrfbzVVXXcWSJUuGlW3qV8sReOnWznLK59wFSVn9P8cxDbxVsRtDXITgyA5z0aNDHRdrAWg6BJ46eOqLcOLXJl5GyJViqr11rwKnwxe2lo4MURC0H6rfhtJnYOElYzrscSUlBe64w9zCJcj37YOf/9wsmo9xb6x+JSTAI4/EZ1pWUZHJegQCJlPi8cChQ2ZKGHROIbNaB26+63TCeefBf/2XCaZGEjAGAvDhhybQWrTI/I4Oht1uts3KgvvuM8+FrgHbli0moKuqMtuFPyBoaTEBUTwybUIIMclIBkiMiS4FB4Y5xW5Qdt4Pz68BorM5Cs65Gxav6bptwAOlW+HNX0DFK7EfS7woG6BNoBCdJUGBMw0SsyEld+JlhDxNHX2A9kP9B1D5OqDN1LewQDtYrLDoZii8Z8yGOmEUF5u+Qe++CzU1XaeMxZpSpsrZd78LP/5xfPaxfj3ceWfXbEgoZKaDtbR0rp1JSBi4SEBxMXz2s6ax7FgIZ6vS0+HEE/teyxPOeu3eDX4/oaQkAg3NBJWV1oUnkPzCVpwpSaM/fiEmIMkATV2SARJjYqAS1THRWg3Pr6JrUID5/sVvwozFMPvj5q7aYth6g1lfwnif+tZdqOcUMTDf+5rNV2/9xCuh7UrprPZW9E04+mZH1idqXZAYmvx8M82rqMhMpTpyBGprTaAye7aZHlZZGZvAyOGAOXNgyZKRv1ZfcnJ6ZkPCt/nzB993yOs1geG+OJSwH4xwhmrGDFi40ARqTiceT4CtW/dTVFSKUlBYOJ9lyxbgXLuW4MpVNO3ZT9vRZtq1gwprOj+rPwffZ//O2rXLyc8fIMsthBBTmARAYvJ69hv0DAqibPwMfKWj2MHzKzszDBNNr8FPB6XANQ28ddBUZgomzJ+AC6RzC2H3AxBqh5CvY0pcxzQui8M8LgbH6ex7kfzNN8Mzz5jb4cMmKFq6FP77v02p7cGyWk1VtLlz+55yFguFhSazU19vsj7RFdHmzh1836GiIlNCfDSmBjocJsuTmWmqtp12mhlzZqYpYNERqBUXV3PjjRt5++2j+HwmIP3d73Ywd24aS5fOpejDi1hY8zYzgo0cJpkXAvOh0klK6xFWr97Cpk1X4uyzjr8QQkxt8tdRTF6lz/b/eHu1CQgAqouZkMFPv5R5SzoAdrcpI91SPtaDGp55yyCrAI7uMMUewtP9LDZz/7xlYz3CycHphEsuMbdoJ5xg+u28+25n5k0pU5EsMxPq6jrXzdjtMGsWLFgQyWTEdbwd2ZD2Dz4k1OrBZ3XTnjGT0su/xWlYGdTey8tHvu4nSr+v4vOh/QEsoRCcc46pYNftGHm9Ab7xjad5880KAoFQpDdqIBDi/fdreP/9GgD2sqDra3uDVFe38d571RQVlbJ8+cKYvB8hhJhsJAASsedp6Fi70VF04KRVZjrTaAu2DLzN3y+K/zjiSdnAlWGCuR6XXcqsKVA28NVBQrbpnTMR2ZywbL3J1NV9AIE2sCVCxnFw7n0TZ1rfRJWfD2++aabP/fGPJmNx1lnwrW+Zi/fwlLqamh6ZjHjyeAL8/uU2fl2+gvyWd0ltqeWwTualpvkk/PBdpq39kNWrz+Daa0/sPxuSkzP4QgUDGFQIVVdLqL6O4Ko1NP7m96Rs+C2ORQWR9/Ttbz/Dv/99iECgMyM1lNissrKZ996rRmtNRUUzOTkpFBbOk4yQEEJ0kCIIIrYObOxZvcuRbKp6Lbh0dMey1g2BQZaenajyvgjHfwFe/jY0H4KQNhmfkB9QYHWYogFWh8mUTKQ1QL0JeE3WrqVcGqFOccXF1axcuZlXXz2Ix9P31DWHw8oxx6SzZk0/gZDXayqujbAAwmD/NdWRr4pm5eR99zwSnt2M3Z3EypWb+fe/D+LzjWw63vTpSaSlufB4ArhcNnJzU2VtkBDdSBGEqUsCIBE7ffZvAVzpcEPJ6GaCHv0EVLw8evsbbbZE+ORjpvxzbbEpctB0CNprwNcCKJMdcqZMzCpwQvTB6w2wYsWjvPLKIdrbe2+q3J3TaeXMM3O5//6Lew8Cfvc7WLPGlNIepqEGQAAebBwildvdl1CSt4R3363C641NIZaUFAepqS5aWnzY7VYKCqYPeW2QxxOgqKhEMkliUpIAaOqKTc5fCDDT3nwd3c6trs4bmPt3rhvd8XzyL6O7v1GjzML/rBNh3oXmrmn58IlfgD0RLHZwpkJCJrjS4JRvmsyPBD9ikigqKuXttysGHfwAeL1BXnrpIDfeuBGvt5fnXXstnHmm6aE0ClTHzU6QBPyktNSxY0dlzIIfMGuGMjMTmT8/Db8/SFlZI0VFpYN+fnFxNZdc8ijf/OZW7rzzJdas2cKKFY9SXFwdszEKIcRYkABIxE7D/o5pbx1laKHz/3UI6vdCyWZ4Zz2UbDHTmeIpZTYce3l89zHqOoKfWWfBsoc6p38FvKbZa0uFqZJmc0GwDTy1sO/xsR2yEDHi8QR48sn3ufnmp6muHnqmJhjUvP32UZ555kDPB51O03z0tNPMmqDw37A4iH5lG5qZtODAH/P9tLcHaGrydjSbduDxBCgvbxrUc73eAKtXb2H37qNUVbXS2uqnrKyJ7dsrWLVqc+9BpBBCTBCSxxaxk7bQrPkJBbr2atHaNKuseBWOvGmqkVld8Z+W5WmCg8/E57XHgsVpjqMrw2R1oo9bWZEpcx3yQ8r8jmOfBU0lE7v8dbTxUlxDjKqGBg/r1r3OW29VsmNHJVVVzfh8w5+67fH4ef75Ei65JK/ng/n5pgFpUZHpCbR9uykHvmuXqXQXJ3ZC/IJnUMB6TsEXo3+atYbmZh+pqU5aWnxkZyeRk9P/70x4ytvGjXt5443DtLcH0FqjNYRCmrY2Py++WMrSpRv45CePY9Wq00hJcfX6GjJtTggxXskaIBE7/a0BUlZwpgFBU5LZ32KmasVzYf4rd8C2OHWgH23WBEg7BnxNJsg843b42A0Q8EDpVnjrPjj6hgmSUnLNNgBtVV23n6gObITN1/YsrnHRhtEvriHipvuFc0NDGzfdtIm2Nn9MW/R89KOZvPLKDT0u3Hvl9cKKFaYKXmNjv5v2969puFtXeOpbb3xYeIm5rOYi3iN74LENgtttx263DmoNULiwxM6dldTXD5xhs9stJCc7eOSRy7j00rzIa6xevYWyskYpwCDGPVkDNHXFLQBSSt0B3ASEJwt/T2v9dH/PkQBoEuitCpzVZS5Wg+1R2QltshMJ2VB4b3yyE3+7AA4N0AtoQlCQnmfW90Qfs5Q5sPUGqN4NQa/pjwOmOELqPHPc432MR4OnCR7MNcFfd44UuKlMMkGTQPcL52AwxOHDzXHbX1KSjb/85fLIhXtYr9mLAx/A6tVQXAyVlV1rUlutpoFqWhrBggKKtx9iVmsFyfiwdIQ8Xqz4sGBDk4S/zwAIoB4H25nNJXwxJpmgrKxEMjIS+g1CPJ4Azzyzn29+8xk+/LB+SK+vFKSluSgtXY3TaWPFikfZvfsofn8Qt9sxogIMQsSbBEBTV7z/Et2jtb4rzvsQ48mCS021t53rzJqgtIXgSoXtvzTTt6LXBsW7OafdHZ/XHXUaGj80AZDVYTI8M8+Ef33aNAYNdZuLH2iD+gNgT+jcPrdwbIYeCzvu7iyuAZjPzzsuQH3N5vGz7hiDgYlYiV5v4vcHcTgsHD3aFtd9trYGuOaav3Pw4DcjmaB+sxebNsEzz8B3vmMapwaD4HCA3w8JCXDiiVg3bcJ6oImrvrGRGbtf4aT69whpeJ55HCKVR3iSEzmK6idXlECAOTRSSAlbOXZE7/H446exevUZzJuX1uc0tHDWZ9euSurqhr6uSmuor/dw4YV/4tRTZ/H++9X4fAGOOSYdpRRZWYmUlDRECjBIc1YhxHggH8WI2HOlwJIfdH5fssVkI9qrzLqUcAbI3xLf5pwnfBkO/DM+rx3+DFfZzFS+8DV5yGf68MRayG8yO5n5Zt1U5aumIagOmiybxWEGEOy4gNEBEwBOO95sP5F75VS8QufkougJRB2TiipeGZNhidgpKiqlrKwRvz/I3LmpvP9+zajst7HRx7p1b/CDH3yiRxDmdjuoqmqlvt7D6tVbTPbikktgwQKTDSorMyWzXS7IzYW1a8HpJD8/iye3XENR0Tm8+WY5TzzxHtXVrTQ1+fiU5avsbLmLaaHe+5NpwI8NFwFyaMZiURx7bAYAe/fWDum9nXrqLDZsuKxLxiec3Tp4sIHq6jbS01386lfb+eCDmhFPMXz99XJef918mGW3KzyeAAkJ9mEVYBBCiHiLdwB0s1LqamA78J9a66Hl1sXkkFtoshDeejMlK3oNUDyzEws+Cc5p4B3ahcOA0o6D468E9wxImgVvrYPadyDoA58vtvuKNv0UuORvJpipeM1kelAmAFIdgYHFboIimwuOuxzO/unEDn5g4EzeRM/0eTxm0X1Fhak+VlhoKpJNIeXlTXg8gciUqViWgu6P1kRKOkcHYfPnp/WZvfAccxwvrrwXXVREDs3knVuA48Lzu/zMnE4by5cvZPnyhXz722dRVFRKeXkTOTkppO7NQH3rm/QacSiFw2bBYk9g7okn8LdbLuf884/h05/+f1RWNtPe7kNrRSDQewbJYjFT3m6//RxuvPHkLhmfcKZnz56j1NS0RwobxGMWvN+v2b+/ltmz0wgEgtTXtzNzZvKABRiEEGK0jCgAUko9C8zo5aHvA78B7sR8qHUn8Evg+l5e4yvAVwDmzJkzkuGI8crmNFmIotWmIlnQYzI/4Spw8bpAtznhzB9D0c2xe82U+ZD/JZhxqgncyoqg5bDJ0LimdTQgjQcNVbug8YCp/ubOMRkhb4NZaxWuuhcKmgSJMx3mLZv4wQ90ZPI2AiE6l5KHWczjcbJ3bw1XXPE3KitbyMlJ5vHHL2fBgszY7aC4uO9sQv7U6duUk5OCy2WjqqoVpRxxuSjvy5EjZnpldBCmOqbqds9e9Jwil0zuu3WsXdDU5wL/cDAUrmb31/enc1vqfBbUl2ClaxCklcKZlsycEz/KDzf9GJxOtmzZT3l5E1arhY99bAZKKYLBEPv21WG3W8jLyyQ7O5G5c9O44IIFLFu2oMdUN683wI03bmT79gr8/hhWk+iHz6f58MN6LBZzHGtr25gxI6nLNlItTggxVkb0l0Zrff5gtlNKPQhs6uM1HgAeAFMEYSTjEePYtHxT7a2syKz5ceeYACLeF+gFN8I7D0DN7uG/hjUZphdA0yFoOgyv/rDnNsoBWDoLEcSDr9EEkZdtMscu4zhoO2rWAAWj5u4ruymaMJHX/URb8EnI/FjHzzD6T4Qy9y/4ZFx2+5Wv/IsHH3wr8n11dRsLF/6Km246mQceuGTkO/B6TfCze7dZR+J2Q1UV1Neb+zdtmjKZoMLCeeTmplJf76Gurr1LAcl4C+8nOgjLykpEKYXWOlI+OisraeApcn1cvG/cuJdrr/0njY0eQiF4nWWsYzMfoYpptKPQBLBQGXJzsD6Vv/kvYNYvXmfVqtN6DcysVgsZGQlYLIqbbjqZG244ud/3+MwzB3j77aOjFvx0p5RCKcWttz4bOU5SLU4IMZbi1ghVKTUz6ttPA+/Ga19igrA5TSWyj91gvg4U/AQ8I2+canPCikchaebA2/bGngpXPAtHd0JLGfTVrFD7TNPRfgvhjoTNTHUL9/SxOeHc+8y0OFuCKTBhsZr/n34KnLducmR/oONn+BeYvRRcmWBLMl9nLzX3D+d9DnBuHThQ0yX4ifbgg29x4EAM1qgUFZnMj98P8+dDdrb56veb+4uKRr6PCcLptLF27XIKCqYzc2Yydvvo9ehOSzMFEMJBmN1upaSkgaqqVkpKGrDbreTmpqIUXabIZWcnMX9+Gn5/MDJFrjdNTR6uvvof1Nd7IrPe3iObT3IV13EZK7mIO1jKGpbzdVawPPAFfvNiO7ffXsT06XfxwQd1uFw2Wlp8hKu2hgMzl8s2qGllzz9fgs83OtMKuwuFIDMzgWBQ8/771dx227Ns3LiXVas2R5qshkKaqqpWdu8+yurVW6TJqhAi7uKZa/65UmoR5oqwFPhqHPclJpva4q5T5kbSOHVaPtxYAsV/gZf+06xFGpCC6Yvhwgfgn5+CYHwrUg3IlWaqukVXzZuWD1e8YPoAlXVcLOeeC/MunDzBT9i0fPjs5thkEAdxbl1++eP9vsTllz/Ozp1fG8476VRebqa9ud1dqyO63eb+8jhVRxyn8vOz2LTpSoqKSnnzzXIefngnpaX9992JhS9/uQDoDMKisxLZ2UmRrMRrr5UNOEWuN3ffvY3Gxp4f3viwDVjlzeMJ8vOfv8JHP5oVCcyiS0vn5qZSWDhvZAdgFBw5Yoo+NDZ6WL9+J3/7WzH19R7sdgsLFki1OCHE6ItbAKS1jt/EfDG5BbzmArV6t1lbY3ebCnLe+s4pYEO98LU5oeA6cwt44YN/wq61Zg1N9smw9B5wpvS8wD6wCZoPxeNdDo0tofeqeTYnLLzU3Ca7cAZxJMLnVtVuU0TCYodQLbQdgY0dRSPmLaO8vP/+MwM9Pig5OWbNT1UVZEVVR2xpMdmgnDhVRxzHuhcP+M1v3uSOO17sNYCIheOPn8YnP3lc5PvoICxctCC8LuXQocZ+p8j1lYnZsmXfiMe5b18dS5bkUlnZ3CMwG8yamcLC+TzwwA4CgbGZAhemNTQ3+2hu9qEU+P0WQiHTSkmqxQkhRpOsNhTjT1mR+XQ+5I9qnJplKsiFp4CN5ELY5oT8z5tbd91f970/DX8/fVKmfHbSdGivNQ1i+93cYoI/e+LE7+kz1sqKTI8kT13H4o9WItMWvU3w7H9AZj5n55/J31/sexpWTk7yyMdSWGgKHtTXQ0mJyfy0tIDdbu4vnNo/Z6fTxpo1S/iP/ziVBx98i//+75eoqmqN2dqgOXNSeOKJz/cIIMJBWHfR65QGm4kpLq7m9dcrRjxWny/IOefM5YwzZvcIzAZj2bIFFBTM4I03Do+43HWsaA1+f4j3369mwYIMnE7rgMGkEELEigRAYvxpKTdTk+zdpgbFu3Fqb/wjreqmwJlmxh3qWD9kcUDWifCRa0yD2MYDppJbXywOcM+ClDkTv6fPWGsshdbyPno1aWithKCHP17vZ9O/z8YX7P1P5OOPXz7ysTidptpbdBW47OwuPWWECUhuvvk0brrpZJ555gDPP18CQENDOxs2dC1uohTMm5dKeXkTfr+JlMJVyEDhcChmzUrlRz86m8997qNDqjg20BQ5p9MWqWr23ns1bNz4Pq+/fjhmx6G0tIE77lg6rOc6nTZ+/euLueaaf/LOO1UxG1MseDxBPviglqQkBw7HxJnWJ4SY2CQAEuOPO2dsGqf2ZtZZcOjZ4T/flgAXPARWW891OgD7HjfFE7yNPSvIWZyQOh9O+GJn2W0Jfkam9Yjp19QnDZ5GEl0V/PxmK2vW9tzipptOjl0p7Px8U+2tqMis+ZmifYAGw+m0cckleVxySV7kvp///AJuueX/2L+/joULM7jrrgvIyopfX6j+psgVF1fzjW88zZtvltPa2kexlBFobPSwZcv+YZWKLi6u5tvffpb6+gGyzWPE7w/R3u7nhBMyBz2tTwghRkLp0Wy4MIDFixfr7du3j/UwxFgLeOGfK8waoKAPLDbwt4HVbiqcffrp0QsEPE3w2xkDT1PrjcUG00+FK4r6Hm94QX7jQbMeKeg3z5t7IRz/hclZ0CDeAp6OtVwVPYslPLcSdt0/wAtYIDETPv4/HEj8FJdf/jjl5c3k5CTzxF9XcIxlBxwqMoH5ZC06IYbE6w1w+ukPsXv30biV7542zcW0aUnMmTO0UtFeb4CLLvoz27eX09wc+8AsVqxWOPvseWzZcpUEQGLUKKV2aK0Xj/U4xOiTvzJi/Ak3Tt16gwmCoqeh+ds7m4GOBlcKXPIY/PMyBl3i2mKHxGxIP37gctRj1R9psgkHPUe2w/5/gL8Vgt6eFd4sNkyn2P5+ltps485hwfzMzmpvtcWw9XMdxTk6ski7HzDTGZc9NHrnpBh3nnrqg7gGPwC1tR7q6jxUVDRz+eX/j5/97HwuvLBn09PuNmx4m1deOYTPN04W//QhGIRXXjnEhg1v89WvnjLWwxFCTHKSARLjU8ALf/8kVO0wWSB7kmn4abVDVsHwKsGNhKfJZGqKN/SxgRWyT4GTVoL2SiAzmqKzaE2HzForBThSAQ1WR+c5U7oV/nUFhPqrKmaB7AK4clvnzy/ghX9cDIdfNudhl83tkHM2fOYp+XlPURdd9Ge2bNk/avuzWhUzZ7o5/visfrNBXm+AvLz7OXgw/uXEYyUnx82BA6slCyRGhWSApi75CyPGp7IiaDlsphllHN+5DihWleCGypUCFz1ibp4m2HE3VLxiCjOc8CVYsEIufsdCwAvP3wxH3wJfG+iOKT4aM6XQ7gbt6Txn5i2D7BPhyBt9v6YzFZY90vXnWVYEdR+YdVrKYgpTKGUyTzoA9XtH/5wU48auXZWjur9gUFNX54k0Dn388c/x6qtlVFQ0k5OTwpIls3n11TL+9KfdEyr4ASgvb+Gb39zKpZfmDWu9kxBCDIb8ZRHj02ArwfW33iNeXClw1h3x3YcYnD0boOJ1CLTTc1qb7uj1YzOPt5Sbc2P5I7D1ehM0haLWRCg7pC+Aix+F7EVdX6ql3LwWygRA4XPSYjUV/MKvL6Ykm63vkunxkprqxOMJcOBAHUuX/p72dj8eTwCloKnJS0qKc1QaycbDhg27eO65EpKS7Hz608dz6qk5EgwJIWJK/pqI8WkwleBqi82i9voPzAWoLQHS88y6G1mPMfkFvPDWWhMQ97WmR2sT5OhQZ/XAaflwxYtmOtzB/4Pmw5A8G+ZeYDJEvQXQ7hywJZqskg6Z11UKQkEz3c6WMLrVCcW4cvbZc3j00T2jtj+lwG63YLXaqaxsobq6DdBoDW1tfrSGujrPqI0n1vz+IB9+WI/WmvfeqyY3N5W5c9P6ne4XLkEezoJJwCSE6I/8dRDjU26hWbzurTfT3uxuE/xY7Ob+mWfC35fD0R0dPV2U2batCrbe2H/lNTE5lBWBr7njm46MTG9ZIBQ4krs2kLU5YeGl5jYYuYWQcRy0HTVrgIJRF5fKbgJvaVA7qqIveLOykgBNdXXbmFz8rl27nMce2xPXIgjR7HYrDoeVI0daCQRC+HyBcdPgNBYCAY3FYgK6QEBTWdlMY6OX1au3sGnTlT1+tsXF1V36M7lctkh/psFWyxNCTC0SAInxKVwJrmi1Wb8R9JjMT7ii1+EXofrtjilMynQ7DAXNGpDqt6H0GVh4yVi/CxFPLeUd63HsnVme7pQymcSTV48sILY54dz7OisThqvAhZvaDlTtT8RU9AVvU5OXxkYPoEhLc5Kc7Bz1i9+sLDc33ngyDz741qjsTymorW1HKQgGQ6MWeI2mUAhsNoXFosjISKC52UdZWSNFRaUsX74wsp3XG2D16i3s3n0Uvz+I2+2gqqqV+npPnwGTEELIXwUxfvVXInr3g50XoTaX+Wqxm6lwIR+UPS8B0GTnzjFTz6wuULaONTpRV4IWB9gTTXW+j1w78v1Ny4crXjBT57o3tZXgZ9REX/D6fAHa2wP4fKaJcDAYor09MKiL31hPmbrvvot4661KduyIb0EEh8PKtGmJJCc7CARCtLb6JmUABCb743SaRqkA9fUeSksbumxTVFRKWVkjfn+Q+fPTUEqRlZVISUlDrwGTEEKABEBivLM5B66sFV6PMVmvAkTvoqdJBi2m3LW30cyGszggZY65Fa6NXYAy1Klzk9xYrLuIvuCdNi2Rw4ebsFgU4ZYO06YlUFvb3u/FbzymTDmdNv7wh09z881P89JLBwkGY//3aNo0F5/61PG8/fYRysqaaG31Taqpb73x+4PU1LQSDJry37/73Q4+8Ym5kZ9TeXkTHk8At9uB6ihOopTC7Xbg8QQoL28ay+ELIcYpCYDExJRbaJpQhjoyPsrSOQXK4pD1GFNBr9MkM8GRBAs/AzNOlV5McTRW6y6iL3gDATP9y2JRgDJ1Uvyhfi9+4zllKj8/i82br2LDhre5557XOHy4Ea83iFImQAsEegZFKSkO2toCBALm75dSkJzsoL3dj99vtk9MtOFwWLFaLTz88K5hjW2iCoVAax05huXlTV1+Tjk5KbhcNqqqWsnKSoxs19LiIzs7iZyclLF+C0KIcUgCIDExzVtmmlse3WF6s+gQoE3J46wC87iY/PqbJjlejUXp9hgby3UX0Re8GRkJHetgNFpr7HYrdruF2tr2Pi9+4z1lyum08dWvnsK1155IUVEp5eVN5OSkcOaZs9m8eR9r175BQ4OHk0+ewT33LCMlxcUzzxzg+edLACgsnM+yZQsiYy0tbeB3v9vB4cMNVFW1DXtcE5VSZtqfw2Fl9uwUjhxp4f33q7nttmdZtmwhZ545m9zcVOrrPZSUNOB2O2hp8WG3W8nNTaWwcN5YvwUhxDgkAZCYmGxOWLYenl9pGlQG2kyZ4ozjzGL1CXZBKUZgMNMkx4va4q4ZK6urs7DHBCrdPpbrLgoL50UueGtrTUAQCnVmVmpr2/u9+B2tKVNOp63HMfj85z/G5z//sR7bXnJJHpdcktfj/uXLF7Jly37a2/20tARiMq6JIjHRjt8fJCnJTmZmIsnJTny+IG1tfpqbffzhD7vZvHk/ubmprFx5Gvfd90YkG5mdnRTJRkoBBCFEb+Qvg5i4puXDp5+eWJ/+i6kr4DXBT/VuU7XO7jZ9rrz15v7LNk2Yc3cs1104nTbWrl3eRxU4F8nJjn4vfifalKnwsbaMfq/VuFKqo5VWqOt9NpsiJyeF9PQE6uvbaWw0TV0BDh5swOczUwotFhXJOt533xs88cTnePXVw5GM23DWo0kvISGmDvnNFhPbRPr0X0xtZUUm8xPyQ8r8jsIdWabPVVOZeXyCnMtjHUTk52exadOVkSlmWVlJKAVVVa0DXrhGZ5AmwpSp8LGejMUOwnVr7HYL5547n8zMRBwOC++9V4vdrqioaMbnC1BcXI3Vaok0eXW77eTmpqAUkazjq68eHnbW0eMJ8NOfvsT//u8r+HydB9pqVZx66iwWL57FBRcsYNmyBRIQCTFJyG+yEEKMhpZyM+3N7jbBD5ivdre5v6V8bMc3BOMhiOhtitlgnxedQRrvU6bCx7qurg2PZ/JMg4su2hkMhigqKkVrHSl53VMw8n+ZmQkdhS8YcdaxuLiac855hJqa9p57DGq2bStn27Zyfv3rN5kzJ4XbbvsE11574rg7T4QQQyO/wUKIyWM8Fxhw55g1P+1VJvMTLt3ubzFNft05Yz3CQZtoQUR33TNI43m6U/Sxfu+9asrLm8d6SDEXChHp5TQYBw824XTaSEy0jyjr6PUGuPDC3/ca/PQ2xtLSJr72tU2sXPkUGRmJrFhxLJ/61PFceKFkhoSYaJQeR71TFi9erLdv3z7WwxBCTETjvcBAwAv/XNF1DZC/xTTwzSqI6Rqg0VrL4PUGJkQQMRmEj/W+fbW88EIJ//rXvn6yJZOf3W4hKcmOw2GjoGD6sCoP/ulPu/jyl58c0TisVli8OIeHH/5UXMu/i/hQSu3QWi8e63GI0ScBkBBi4ustuPA1AxqSZsHZP4N5F459NmgUgrSh9ueRhd8T065dlZx99iO0tPjHeihjQinIyUnm+OOzht176rjj7mPfvrqYjGfWrCRuu+3jHHtspvwOTSASAE1dEgAJ0d14nkYleleyBYrWmOllKfNNcNFUBoFW0yQ3cQZMO358ZIMC3p6VC9ExOee83gArVjzapT9PeG1Ob5+Sj1UzUxEbu3Yd4eqr/0FJST1eb3BQGaHwzEubzTSOVUphtytyc9NYsCCNLVsOMI4uC/pkt1v46ldP4a67Lhx2tbdPf/oxvN7YZtGSkx2kpbn4znfO4sYbT+5zbPLBw/ggAdDUJQGQENHG+zQq0bt31sO2O01D3IRMqN8PwXYIBU0AZHWCwx3zqWa9GiiA7v544gx46Vsd/azau/azGuI5t2XLftas2UJVVWukP4/WmpKSBrKzk7j33uWRwgFDDZbE+BQ9DTE93cUbb1Swdet+AJYvX8DixTlUVDSzfXsFoZAmLy+Tr371ZLZtK+/RfNXptPHEE+9x9dX/oK2tZ2bJYmFcVaObPTuZr3zlFE49NWfQAUR00P/BB7VxC/aUguzsJC688Bg+97mPdFknJB88jB8SAE1dEgAJETbSNRqSORo70RkgZwa0HIZQwHzUbbWDOxe8tabYQOG98Ss3PVAAfXQnPHM9NJWb7JRWEPKCDi8AV6AAZYXpp8AVLwzpHFq//i3uvPMlQiFNdnZS5P6qqlYsFsXtt3+CG244GRhasCSmlqYmD3ffvY1XXjlEIBCktLSRtrYAoHG57NTVtY2bqXcul405c1KZM2fgACI66Pf5AjQ2ekcl25WQYGPRohk89NClLFiQ3ucHDx/9aDarV59GdXWbZIVGiQRAU5f8ZgkRNpI+LZI5Glu5heZ4e+uhtbIj+AmBxQpWBzhTTKARz3LT3Rud2pKgvRxaK+DpL8HSdbDxU+CpB/q56tIKdMC8TulWWHjpoIcwlP48Y9nMVIxvKSku7rhjaeT77sUuzjxzNi++eJBNmz7guec+pLy8iWBQEwqZ0tGjyecLUlHRTEODh9Wrt/SbuSwqKqWsrBG/P8i0aYm0tPgIBOI/3vb2AG++WcFnP/tXPv/5j3LokBlD+IOHrKxEDhyoZ9u2w3zwQQ1Wq0WyQkLE2STrLS3ECAy3T0v0hW97lbnwbq8y3xetNo+L+LI5TbCZVQCujM4281YXJM8x2/hbzPfxKjdduhVq3wdvMwSDJhDzt5piDDXvwhMXgKeOfoMfdOct5DNB9xCEe8bY7VZKShqoqmqlpKSh1/484WCppcVHeCZAOFhyuWxxb2YqJo5wz6UbbjiZ5csXkpLi4pJL8vjd7y5h//7VtLffjs/3Q37wg0+M+tiUgowMF35/kLKyRoqKSvvcNjroDwRCkV5CoyEQCPHBB7WsXbuNQ4cacTqtkQ8ewKwJ8ngC1NW1Ewppqqpa2b37KKtXb8HrnTz9n4QYLyQAEiIs3KfF39LZpS/cp6W/C+fumaPEbPM15O/MHIn4m5Zvpime9ytIOxYcKWb6oq/JZPEsdpMlyi2M/b5ri+Hl28z0x2A7+Js6prV1nEchvwmiB2X4n0iHe8YUFEwnOzsJi0WRnZ1EQcH0Hv15hhIsCTEY3/rWGSQkjO7EEotF4XTaBpW5jA76bTYLSqlRDYJCIWhs9OLzBampaSfUsaCqqckbKWAxc2Yy2dlJzJ+fFgnqtm49wObN+1i//i22bNkvAZEQMSBT4IQIi55G1VTSdQ1QfxfOw80cidizOc2UsfSFXackJmR3TkmM9bqscAawuRyI5QpxCzhSzesPYcyDbfI50ZuZipGJRxWylBQXf/zjp/nc5/42apXkXC4bbredmpq2ARuihoP++noPtbVtgMl6hv9sj8aYlYJQyOxz37560tNd1NaaRqx2u4WUFGfHdmY6anOzj9tue5ZQSEvBBCFiSIogCBFtOGt5updgDteZbSqJ/6J70bfeyk3HoyhF+OffWGrWGcWKxQEpcyF1blzXkkkz06kn3lXI/v3vg5xzzoa4V4yzWs36Ga83OOjqhdHvvanJS2OjB1CkpjqxWhXJyU7OPnsOjzyyKy6NZq1WE21ZLIpp0xJwOm0EgyHq6tqx2SwsXJjRpSCJeW8WLBYllRrjQIogTF0SAAnR3VAvnEdaPU6MbwNV9wuX4G6rhkBb7PZrsYMtAWwuOY9EzIxW+fN///sQZ5/9SAxG3FNmZgLTpiWitXk/Qw3gooP+rKwklDKVEsMfAAAsXfp73nijnFAodtdIDocVrTXBYIjMzERWrjydmTPdHVUXX+fdd6u6/Ey0Bp8vgMNh5Zhj0qVSYxxIADR1yUcHQnRncw4tYxNegD9aU67E6BlMRjC8dkwP5tNiC52FDgaiTSYx6Bu4CqEQgxRdCS26CllJSUOkiEAsLqo//vE5PP745zp6CsVmzYrFovjudz/O7bebYgvDzVyGizr0Z/36S1m5cjM7d1ZQXx+bzG4oFCIY1FgsilmzUrj11jMjY16wIKPHdFSLRdHQ4ImsV4LOqXHt7QG2bNkvmVshhkkyQELEymhNuRKjw9MIf1sKDQdMIOJMM717umf2whnAo7vAU9P/a9rcpiy3t67PTTQQwo4iiFY2lCMFizMJzrgdPnZDDN+gmIqG0isqFpqaPKxb9wbbt1fw7rtVHfd5aW/3Y7dbOOusOZxzzhxefrmMN94o7+jP4+tSTlspsNksLF48i6Kia0btQt/rDVBY+Htee+1wZBxh4UunlBQHFosFrzeAzWYhGAwRCpmqb8FgKLKd1arQ2rxGaqqT5567hkWLZvTYX3RQ5/MF+fa3/69Hr64DB+rx+0NkZLikZPYISQZo6pKPC4SIlaFmjsT4VVtsevfU7IFQ0DRT9TZC8mxoO9I1IxOdAawpNuWvu2R4lAmIk3PA09CRSXJCW2WP3eqO//gCGqsFIEjQ34TFloYzXuW7xZQylF5RsZCS4oqUx+5vvdktt3Q+/uab5TzxxHvU1LTh8QRISLCRl5fJunUXjWqWw+m0kZRk73Jf+HiFLV48i1tvPatHj6Tnny+htraN3buraGvz09joxWIxVd4efvjSHsFPeH/RmSmvN8B9971Bfb2HkpKGyNS49vZA5GeWnOykqqqV+vqB+yAJITrJb4kQQkQLV3Vr2G+CH0VHY9UgNB8GZ2rP6n7hEtxlRdCwDypeN4GQIwVO+DIs+KTZLjpDaHPD1mvNdgEPGtNIMqTBbg2gUICmzW/nwEEnH51+NpJPFCMVXQkt+qJ6NMqfDzT1LPz48uUL+fa3zxoXxTnOOmsOzz1XgtbhrI+OZHWUgrPPntvjPV1ySR6XXJIHjKzISG+VGpOS7B3Zps51QfGYwijEZCdT4IQQIlq4qltLuVl/o4OmIlvIBxabmQLnzolNdb+AF0qfgZe/g6/hMN52H3ZrALvFrCfyBW28XjaHX+z4PCvvuE4ubERMxLsK3GTS1ORhzpx7aGz09XgsNdXBoUPfJCXFFdcxRAdR775bxd///h5aMypTGCc7mQI3dUkGSAghooX7OjnTwNcIgXYT/KAh6DdreGLVUNXmhIWXQPoCqv90Pe2tJbhsfmxWTWsggcf2nssjb5xIQNv7bfAoxFAMtleUMFP4/vCHz3Dttf+gqclHKGSKGNhsFk4+eRbr1r3BqlWn4XDYYt5XKSw6c7Zly342b94/alMYhZis5K+dEEJEC1d181WBOxdaykymJhQAixXSFsS+ut+0fN49dj1/+9evSAxWEUqaxY6qPHxBG3WNDWRn2+TCRsTUYCqhCePSS/MoLV3DunVv8NxzH/LKK2V4vUGKikp54YVSfvKTl5g5MxmbzYLPF4xrRm0spzAKMZnIFDghhIjWva+TLQm8DWbCf9pC+NwL4Ip9MDJa/VmEEMPzxhvlLFmyvs/eQEpBQoINpRRJSXYKCmbE5fdWpjDGjkyBm7okABJCiO4G0/8nDuTCRojxweMJdJnSduaZsyko+C0HDzYO6vkWC8yZk8pvfrMiLpm2kRRXEJ0kAJq6JAASQojejFFfJ7mwEWJs9fZBRGKinXfeOUJgCD1dlYLbb/8EP/5xDNYLiriQAGjqkgBICCGEEIK+p6IGAiGam3tWghvIggXp7Nnz9QnzIUb3zNdk/wBGAqCpa/Ke1UIIIYQQQ1BUVEpZWSN+f5D589MifXY++KBuWK/X0uKbML15ZAqumEosYz0AIYQQQojxoLy8CY8ngNvtQCkFgFKKtDQnliFeMSllmqdOhBL2Xm+A1au3sHv3UaqqWgmFNFVVrezefZTVq7fg9Q5h7p8QE4AEQEIIIYQQQE5OCi6XjZYWH+ElAlprWlv95OYOrfqjxaJIS3NNiBL23TNf2dlJzJ+fht8fpKyskaKi0rEeohAxJQGQEEIIIQSdfXbsdislJQ1UVbVSUtKA3W7l2GMzefTRz5KQMPDqAaUgNdXFnDkTozdPX5kvt9uBxxOYEFksIYZC1gAJIYQQQmAaxK5du7zLWpjs7KQua2Euvnghd9+9jVdeOUQoBNXVrRw50kJdXTtag9WqyMlJZuHCaaxdu3xCFBEIZ76qqlrJykpEKYXWmpYWH9nZSRMiiyXEUEgVOCGEEGIUeDwBtm7dT1FRCUopzj13PhdeuGBCXCBPNUMpRx/etrS0npqadjIzE5k3L21CVVCbqo2YpQrc1CUBkBBCCBFnxcXV3HDDRnbvPoLPFwLA4bBy4onTeeihS6XKlhhzU7EKnARAU5cEQEIIIUQceb0BLr74L7z88kECgVCXx+x2K2efPYennvripPyEXYyNhgYP69a9zocf1jNvXhof+1gW1dVtVFe3kZWV1GeGaqo1YpYAaOoa0VmtlPoccAdwAnCa1np71GPfBW4AgsAqrfXWkexLCCGEmIiKikr54IMagkGNxaJwOKwoZabEBQIh9u6tmTC9YsT4t3HjXq677p80N/sIhTShkCb8WbdSYLNZuqxRis7uOJ02OQ/FlDDSKnDvAp8BXoq+UymVD3wB+AiwHPi1Uso6wn0JIYQQE055eRNtbQGUMqWRTZUthdVqQSlob5cqWyI2mpo8XHfdP6mv9xAIhAgGO4MfMH2J/P4QpaWNvPVWpfT4EVPWiAIgrfV7Wuu9vTz0KeAxrbVXa10C7AdOG8m+hBBCiIkoJyeFxEQbWtPxabwGNMFgCK0hIcEmVbZETKxb9wbNzT7AZHr609Dg4Z13jvKLX7wqQZCYcuI1sTMH2Bb1/eGO+3pQSn0F+ArAnDlz4jQcIYQQYmwUFs7juOMyOXq0lUAghMfTebFpt1vIy8ucEL1ixPi3f38doZBGKUUo1P8a71BIc/RoKz/+8QusX/8WX/ziR3G57GRlJTFrVjKgqahoHnDdkBAT0YBnsVLqWWBGLw99X2v9ZF9P6+W+Xn8TtdYPAA+AKYIw0HiEEEKIicTptHHffRf1WQVu3bqL5KJSxMTChRlYLIpAIMRga1wFAprS0kb+539ewWazYLEoLBYFdK4fslotzJzpZsGCjEldFU5MHQP+xdVanz+M1z0M5EZ9PxuoGMbrCCGEEBNefn4WL7xwDVu3HqCoqARA+gCJmFu16jTuuec16us9gw6AonWvUgimcEIwqCkra6K11cfq1VsmbV8gMXXE6+zdCPxFKXU3MAs4FngjTvsSQgghxj2n08all+Zx6aV5Yz0UMUmlpLh45JHLIlXg/P6eAc1Q2e2WjgqG0NYWoKysUaoWiglvREUQlFKfVkodBpYATymltgJorfcA/w8oBrYA39BaB0c6WCGEEEII0bdLL82jpGQ13/ve2aSnu2LwiuEpcQq73YLHI1ULxcQ30ipw/9Baz9ZaO7XW07XWy6Ie+4nWeoHWOk9rvXnkQxVCCCGEEANJSXFxxhmzyc5OIjXVQVqaE9Xb6uxB0R0FFTR+fwiXS6oWiolvpH2AhBBCCCHEOFNe3oTHEyAlxcUxx6TjdjsGLI3dG78/1FHCHRITbeTmpkrVQjHhSQAkhBBCCDHJ5OSk4HLZaGkxfYHmzEnF5bL2mwmy2Sw4HFZcLhsulxWHwxK5Lzc3hYKCGaxdu1wKIIgJT85gIYQQQohJprBwHrm5qdTXeygpacDtdmC3W0lNtZKdncjMmckcOdJCWpqLpUvnkZPjprHRR2ZmIjk5yWgNFRVN1NS0k5mZKH2AxKQiZ7EQQgghxCTjdNpYu3Y5q1dvoaysEY8nQHZ2Erm5qdLLR0x5EgAJIYQQQkxC+flZbNp0JUVFpZSXN5GTkzJqWRyPJ0BRUQkVFc3k5KSwZMlsXn21LPK9ZJPEWJIzTwghhBBiknI6baPes6e4uLpL5kkpaGrykprqIhTSOJ02nE4rmZmJWK2Ks86aw7e+dQYpKbEo2y3EwJQeTqvgOFm8eLHevn37WA9DCCGEEEIMg9cbYMWKR9m9+yh+f5CkJDtHjrQQDGqsVgtut53GRi/dLz9TUuz88Y+fHdVGwUqpHVrrxaO2QzFuSBU4IYQQQggRE0VFpZSVNeL3B5k/Pw2Xy4bVakFrCARCvQY/AE1Nfr785SdoavKM/qDFlCMBkBBCCCGEiIlw/yG324FSqqOPUGfE09/Eo6YmP3ffvW0URimmOgmAhBBCCCFETET3H9JaY7db+g16unvllUPxG5wQHSQAEkIIIYQQMRHuP2S3WykpacDjCRAMhgb9fLfbEcfRCWFIACSEEEIIIWIi3H+ooGA62dlJWK0WsrISsVgUlgGuOpWCL3+5YHQGKqY0KYMthBBCCCFipnv/oaysJO69dxtvvVWJ1xvA4wn2+ryCgul88pPHjfJoxVQkAZAQQgghhIip7v2HFi7MiPQGamryUlvb1lEaW5Gc7KCgYAb333+xNEcVo0LOMiGEEEIIEVfds0LZ2UloDdXVreTkpFBYOE+CHzFq5EwTQgghhBBx1z0rJMRYkSIIQgghhBBCiClDAiAhhBBCCCHElCEBkBBCCCGEEGLKkABICCGEEEIIMWVIACSEEEIIIYSYMiQAEkIIIYQQQkwZEgAJIYQQQgghpgwJgIQQQgghhBBThgRAQgghhBBCiClDAiAhhBBCCCHElCEBkBBCCCGEEGLKkABICCGEEEIIMWVIACSEEEIIIYSYMiQAEkIIIYQQQkwZSms91mOIUEpVAwfHehxjLBOoGetBTBJyLGNHjmXsyLGMHTmWsSXHM3bkWMZOPI/lXK11VpxeW4xj4yoAEqCU2q61XjzW45gM5FjGjhzL2JFjGTtyLGNLjmfsyLGMHTmWIh5kCpwQQgghhBBiypAASAghhBBCCDFlSAA0/jww1gOYRORYxo4cy9iRYxk7cixjS45n7MixjB05liLmZA2QEEIIIYQQYsqQDJAQQgghhBBiypAAaIwppf6qlNrVcStVSu3qY7tSpdQ7HdttH+VhTghKqTuUUuVRx/PiPrZbrpTaq5Tar5S6bbTHOREopX6hlHpfKbVbKfUPpVRaH9vJedmHgc4zZazreHy3UurksRjneKeUylVKFSml3lNK7VFKre5lm6VKqcao3/0fjsVYJ4KBfmflvBw8pVRe1Dm3SynVpJRa020bOTf7oJR6WClVpZR6N+q+DKXU/yml9nV8Te/jufLvuBgRmQI3jiilfgk0aq3/q5fHSoHFWmvpK9AHpdQdQIvW+q5+trECHwAXAIeBN4ErtdbFozLICUIpdSHwvNY6oJT6GYDW+ju9bFeKnJc9DOY86wjQVwIXA6cDa7XWp4/BcMc1pdRMYKbW+i2lVDKwA7is27FcCtyitV4xNqOcOAb6nZXzcng6fufLgdO11gej7l+KnJu9Ukp9AmgB/qC1/mjHfT8H6rTWP+0IbNK7/9sj/46LWJAM0DihlFLAFcCjYz2WSe40YL/W+kOttQ94DPjUGI9p3NFaP6O1DnR8uw2YPZbjmYAGc559CvMPv9ZabwPSOi72RRStdaXW+q2O/28G3gNyxnZUk5qcl8NzHnAgOvgR/dNavwTUdbv7U8DvO/7/98BlvTxV/h0XIyYB0PhxNnBUa72vj8c18IxSaodS6iujOK6J5uaOaRsP95E6zwHKor4/jFxMDeR6YHMfj8l52bvBnGdyLg6RUmoecBLwei8PL1FKva2U2qyU+sjojmxCGeh3Vs7L4fkCfX+AKefm4E3XWleC+fADyO5lGzlHxYjZxnoAU4FS6llgRi8PfV9r/WTH/19J/9mfs7TWFUqpbOD/lFLvd3x6MqX0dyyB3wB3Yv6BvxP4JebivctL9PLcKTkPdDDnpVLq+0AA+HMfLyPnZe8Gc57JuTgESik38ASwRmvd1O3ht4C5WuuWjilc/wSOHeUhThQD/c7KeTlESikHcCnw3V4elnMz9uQcFSMmAdAo0Fqf39/jSikb8BnglH5eo6Lja5VS6h+YFPCUu9Ac6FiGKaUeBDb18tBhIDfq+9lARQyGNuEM4ry8BlgBnKf7WCwo52WfBnOeybk4SEopOyb4+bPW+u/dH48OiLTWTyulfq2UypS1aT0N4ndWzsuhuwh4S2t9tPsDcm4O2VGl1EytdWXH1MuqXraRc1SMmEyBGx/OB97XWh/u7UGlVFLH4l+UUknAhcC7vW07lXWbp/5pej9GbwLHKqXmd3xq9wVg42iMbyJRSi0HvgNcqrVu62MbOS/7NpjzbCNwdUfVrTMwBVAqR3ug413H+sj1wHta67v72GZGx3YopU7D/NtWO3qjnBgG+Tsr5+XQ9TmDQ87NIdsIXNPx/9cAT/ayjfw7LkZMMkDjQ4+5w0qpWcBDWuuLgenAPzr+htqAv2itt4z6KMe/nyulFmFS4aXAV6HrseyoanYzsBWwAg9rrfeM0XjHs/sBJ2aKDMA2rfXX5LwcnL7OM6XU1zoe/y3wNKbS1n6gDbhurMY7zp0FfBl4R3W2CfgeMAcix/Jy4D+UUgGgHfhCX1nLKa7X31k5L4dPKZWIqUb21aj7oo+nnJt9UEo9CiwFMpVSh4EfAT8F/p9S6gbgEPC5jm3l33ERU1IGWwghhBBCCDFlyBQ4IYQQQgghxJQhAZAQQgghhBBiypAASAghhBBCCDFlSAAkhBBCCCGEmDIkABJCCCGEEEJMGRIACSGEEEIIIaYMCYCEEEIIIYQQU4YEQEIIIYQQQogp4/8DG48huX0pMjEAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#call function\n",
    "kmeans_pca(energy_df) #dataset preprocessed with additional dropped features"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ffb88c1b",
   "metadata": {},
   "source": [
    "# Supervised Learning Methods\n",
    "\n",
    "-------------------\n",
    "\n",
    "I chose to use four algorithms but added an additional one based on the output.  I selected KNeighborsRegressor, RandomForestRegressor, and XGBoost.  I added CatBoost when I saw the results of the other algorithms, in the hopes that the categorical variable creating 60 features (less after pre-processing) could be managed by CatBoost better than the other models.  CatBoost doesn't require one-hot-encoding of categorical variables, it encodes it within the model.  As a result, CatBoost was more performant than any of the other models."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "74bed097",
   "metadata": {},
   "source": [
    "## Pipelines and Hyperparameter tuning (GridSearchCV)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0f492bde",
   "metadata": {},
   "source": [
    "#### Note: This function captures the pipeline and grid search, but due to the minimal computational power of my computer I will do a simplified gridsearch outside of this function to narrow down the best parameters."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2a466a7b",
   "metadata": {},
   "source": [
    "#### preprocessed dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4d7a5a7d",
   "metadata": {},
   "outputs": [],
   "source": [
    "X = train.drop(['site_eui'],axis=1)\n",
    "y = train['site_eui']\n",
    "X_train,X_test,y_train,y_test = train_test_split(X,y,test_size=0.3,random_state=44)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0ecf8b41",
   "metadata": {},
   "source": [
    "#### preprocessed dataset after additional feature elimination"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "555cdba6",
   "metadata": {},
   "outputs": [],
   "source": [
    "X = energy_df.drop(['site_eui'],axis=1)\n",
    "y = energy_df['site_eui']\n",
    "# sc = StandardScaler()\n",
    "# X = sc.fit_transform(X)\n",
    "X_train,X_test,y_train,y_test = train_test_split(X,y,test_size=0.3,random_state=44)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "6a0f01fc",
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "def supervised_analysis(model):\n",
    "    \n",
    "    pipe = Pipeline([\n",
    "        ('scaler',StandardScaler()),\n",
    "        #PCA explained variance threshold as value rather than count\n",
    "        ('reducer',PCA(n_components=0.95)), \n",
    "        ('regressor',model)]) \n",
    "\n",
    "    pipe.fit(X_train, y_train)\n",
    "\n",
    "    '''the parameters not pertaining to the specific model run were commented out where appropriate '''\n",
    "\n",
    "    #when using kNeighbors\n",
    "    parameters = {\"regressor__n_neighbors\": [21,23]}\n",
    "    #when using Random Forest\n",
    "    parameters = {\"regressor__max_depth\": [20],\n",
    "                  #\"regressor__min_samples_leaf\": [0.001],\n",
    "                  \"regressor__max_features\": [35],\n",
    "                  \"regressor__random_state\":[44],\n",
    "                  \"regressor__max_leaf_nodes\":[500],\n",
    "                  #\"regressor__min_impurity_decrease\":[0.0],\n",
    "                  \"regressor__bootstrap\":[True],\n",
    "                  \"regressor__oob_score\": [True,False]}\n",
    "   \n",
    "    print(f'Running the {model} analysis now...')\n",
    "\n",
    "    grid = GridSearchCV(pipe, \n",
    "                        param_grid=parameters, \n",
    "                        cv=4,\n",
    "                        scoring =\"neg_root_mean_squared_error\",\n",
    "                        n_jobs=-1,\n",
    "                        verbose=1).fit(X_train, y_train)\n",
    "\n",
    "    #test for over or underfitting\n",
    "    print('Evaluating over and underfitting...')\n",
    "    print('Grid training set score after tuning: '+ str(abs(grid.score(X_train,y_train))))\n",
    "    print('Grid test set score after tuning: '+ str(abs(grid.score(X_test,y_test))))\n",
    "\n",
    "    # Access the best set of parameters\n",
    "    best_params = grid.best_params_\n",
    "    print(best_params)\n",
    "    # Stores the optimum model in best_pipe\n",
    "    best_pipe = grid.best_estimator_\n",
    "    print(best_pipe)\n",
    "\n",
    "    best_params = grid.best_params_\n",
    "    best_rmse = abs(grid.best_score_)\n",
    "\n",
    "    # Print the tuned parameters and score\n",
    "    print(f'Tuned {model} Parameters: {best_params}')\n",
    "    print(f'Best {model} RMSE: {best_rmse}')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2b6c0566",
   "metadata": {},
   "source": [
    "### K Neighbors Regressor"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8373cb68",
   "metadata": {},
   "source": [
    "Results of modifying PCA value for KNeighborsRegressor:\n",
    "\n",
    "- 80% PCA: RMSE = 46.78\n",
    "- 90% PCA: RMSE = 46.79\n",
    "- 95% PCA: RMSE = 46.38\n",
    "- overfitting/underfitting: train = 43.7, test = 47.7 (when PCA = 95%)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "0714d22c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Running the KNeighborsRegressor() analysis now...\n",
      "Fitting 2 folds for each of 2 candidates, totalling 4 fits\n",
      "Evaluating over and underfitting...\n",
      "Grid training set score after tuning: 43.69111863101502\n",
      "Grid test set score after tuning: 47.742178205056895\n",
      "{'regressor__n_neighbors': 23}\n",
      "Pipeline(steps=[('scaler', StandardScaler()),\n",
      "                ('reducer', PCA(n_components=0.95)),\n",
      "                ('regressor', KNeighborsRegressor(n_neighbors=23))])\n",
      "Tuned KNeighborsRegressor() Parameters: {'regressor__n_neighbors': 23}\n",
      "Best KNeighborsRegressor() RMSE: 46.38312350968433\n"
     ]
    }
   ],
   "source": [
    "#run function\n",
    "supervised_analysis(KNeighborsRegressor())"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "516d0043",
   "metadata": {},
   "source": [
    "### run energy dataframe (dropped fields) and standardscaler, and testing best K to put into model above"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "03b27129",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "RMSE Score    47.772458\n",
      "K             23.000000\n",
      "Name: 0, dtype: float64\n"
     ]
    }
   ],
   "source": [
    "# Test several values for the n_neighbors\n",
    "\n",
    "X = energy_df.drop(['site_eui'],axis=1)\n",
    "y = energy_df['site_eui']\n",
    "sc = StandardScaler()\n",
    "X = sc.fit_transform(X)\n",
    "X_train,X_test,y_train,y_test = train_test_split(X,y,test_size=0.3,random_state=44)\n",
    "\n",
    "rmse_list = []\n",
    "K_list = []\n",
    "#loop through k range\n",
    "for k in range(3,50):\n",
    "    # use odds(no ties)\n",
    "    if k%2 !=0:\n",
    "        knn = KNeighborsRegressor(n_neighbors=k)\n",
    "        knn.fit(X_train, y_train)\n",
    "        y_pred_knn = knn.predict(X_test)\n",
    "        rmse = np.sqrt(MSE(y_test,y_pred_knn))\n",
    "        rmse_list.append(rmse)\n",
    "        K_list.append(k)\n",
    "\n",
    "# Create data frame that contains the values from our two lists\n",
    "knn_df = pd.DataFrame({'RMSE Score':rmse_list,'K': K_list})\n",
    "\n",
    "knn_sort = knn_df.sort_values(['RMSE Score','K'], ascending=[True,True], ignore_index=True)\n",
    "print(knn_sort.loc[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "237770cb",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Running the KNeighborsRegressor() analysis now...\n",
      "Fitting 2 folds for each of 1 candidates, totalling 2 fits\n",
      "Evaluating over and underfitting...\n",
      "Grid training set score after tuning: 43.710499260133844\n",
      "Grid test set score after tuning: 47.66826789790492\n",
      "{'regressor__n_neighbors': 23}\n",
      "Pipeline(steps=[('scaler', StandardScaler()),\n",
      "                ('reducer', PCA(n_components=0.95)),\n",
      "                ('regressor', KNeighborsRegressor(n_neighbors=23))])\n",
      "Tuned KNeighborsRegressor() Parameters: {'regressor__n_neighbors': 23}\n",
      "Best KNeighborsRegressor() RMSE: 46.40249730131106\n"
     ]
    }
   ],
   "source": [
    "#run function\n",
    "#running again but with energy dataset - fewer features, better results??\n",
    "\n",
    "supervised_analysis(KNeighborsRegressor())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "5cdde1d9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "RMSE Score    48.396327\n",
      "K             21.000000\n",
      "Name: 0, dtype: float64\n"
     ]
    }
   ],
   "source": [
    "#test normalize\n",
    "X = energy_df.drop(['site_eui'],axis=1)\n",
    "y = energy_df['site_eui']\n",
    "X = normalize(X,axis=0)\n",
    "\n",
    "X_train,X_test,y_train,y_test = train_test_split(X,y,test_size=0.3,random_state=44)\n",
    "\n",
    "rmse_list = []\n",
    "K_list = []\n",
    "#loop through k range\n",
    "for k in range(3,50):\n",
    "    # use odds(no ties)\n",
    "    if k%2 !=0:\n",
    "        knn = KNeighborsRegressor(n_neighbors=k)\n",
    "        knn.fit(X_train, y_train)\n",
    "        y_pred_knn = knn.predict(X_test)\n",
    "        rmse = np.sqrt(MSE(y_test,y_pred_knn))\n",
    "        rmse_list.append(rmse)\n",
    "        K_list.append(k)\n",
    "\n",
    "# Create data frame that contains the values from our two lists\n",
    "knn_df = pd.DataFrame({'RMSE Score':rmse_list,'K': K_list})\n",
    "\n",
    "knn_sort = knn_df.sort_values(['RMSE Score','K'], ascending=[True,True], ignore_index=True)\n",
    "print(knn_sort.loc[0])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "cb0a5d71",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Running the KNeighborsRegressor() analysis now...\n",
      "Fitting 4 folds for each of 2 candidates, totalling 8 fits\n",
      "Evaluating over and underfitting...\n",
      "Grid training set score after tuning: 43.65039434580353\n",
      "Grid test set score after tuning: 47.76729950061129\n",
      "{'regressor__n_neighbors': 21}\n",
      "Pipeline(steps=[('scaler', StandardScaler()),\n",
      "                ('regressor', KNeighborsRegressor(n_neighbors=21))])\n",
      "Tuned KNeighborsRegressor() Parameters: {'regressor__n_neighbors': 21}\n",
      "Best KNeighborsRegressor() RMSE: 46.00418566981621\n"
     ]
    }
   ],
   "source": [
    "#no pca\n",
    "#energy df\n",
    "#normalized data got 21 neighbors, test 21 and 23\n",
    "#cv=4\n",
    "#keep scaler in pipeline\n",
    "\n",
    "supervised_analysis(KNeighborsRegressor())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "5c473732",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Running the KNeighborsRegressor() analysis now...\n",
      "Fitting 2 folds for each of 1 candidates, totalling 2 fits\n",
      "Evaluating over and underfitting...\n",
      "Grid training set score after tuning: 43.7776778965317\n",
      "Grid test set score after tuning: 47.78022723741379\n",
      "{'regressor__n_neighbors': 23}\n",
      "Pipeline(steps=[('scaler', StandardScaler()),\n",
      "                ('regressor', KNeighborsRegressor(n_neighbors=23))])\n",
      "Tuned KNeighborsRegressor() Parameters: {'regressor__n_neighbors': 23}\n",
      "Best KNeighborsRegressor() RMSE: 46.57280575643162\n"
     ]
    }
   ],
   "source": [
    "#run function\n",
    "#running again but with energy dataset - fewer features, better results??\n",
    "#no pca\n",
    "supervised_analysis(KNeighborsRegressor())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "7e62d6d7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Running the KNeighborsRegressor() analysis now...\n",
      "Fitting 4 folds for each of 1 candidates, totalling 4 fits\n",
      "Evaluating over and underfitting...\n",
      "Grid training set score after tuning: 43.7776778965317\n",
      "Grid test set score after tuning: 47.78022723741379\n",
      "{'regressor__n_neighbors': 23}\n",
      "Pipeline(steps=[('scaler', StandardScaler()),\n",
      "                ('regressor', KNeighborsRegressor(n_neighbors=23))])\n",
      "Tuned KNeighborsRegressor() Parameters: {'regressor__n_neighbors': 23}\n",
      "Best KNeighborsRegressor() RMSE: 46.00786564314183\n"
     ]
    }
   ],
   "source": [
    "#run function\n",
    "#running again but with energy dataset - fewer features, better results??\n",
    "#no pca\n",
    "#add more folds =4 \n",
    "supervised_analysis(KNeighborsRegressor())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "cd4c694d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Running the KNeighborsRegressor() analysis now...\n",
      "Fitting 10 folds for each of 1 candidates, totalling 10 fits\n",
      "Evaluating over and underfitting...\n",
      "Grid training set score after tuning: 43.7776778965317\n",
      "Grid test set score after tuning: 47.78022723741379\n",
      "{'regressor__n_neighbors': 23}\n",
      "Pipeline(steps=[('scaler', StandardScaler()),\n",
      "                ('regressor', KNeighborsRegressor(n_neighbors=23))])\n",
      "Tuned KNeighborsRegressor() Parameters: {'regressor__n_neighbors': 23}\n",
      "Best KNeighborsRegressor() RMSE: 45.76227881538483\n"
     ]
    }
   ],
   "source": [
    "#X_norm = normalize(X,axis=0)\n",
    "#run function\n",
    "#running again but with energy dataset - fewer features, better results??\n",
    "#no pca\n",
    "#add more folds =10\n",
    "supervised_analysis(KNeighborsRegressor())"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a3189d18",
   "metadata": {},
   "source": [
    "## Random Forest Regressor"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "f8a4c67b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Running the RandomForestRegressor() analysis now...\n",
      "Fitting 2 folds for each of 4 candidates, totalling 8 fits\n",
      "Evaluating over and underfitting...\n",
      "Grid training set score after tuning: 31.034831366360756\n",
      "Grid test set score after tuning: 47.16853395661603\n",
      "{'regressor__bootstrap': True, 'regressor__max_depth': 20, 'regressor__max_features': 35, 'regressor__max_leaf_nodes': 500, 'regressor__oob_score': True, 'regressor__random_state': 44}\n",
      "Pipeline(steps=[('scaler', StandardScaler()),\n",
      "                ('reducer', PCA(n_components=0.95)),\n",
      "                ('regressor',\n",
      "                 RandomForestRegressor(max_depth=20, max_features=35,\n",
      "                                       max_leaf_nodes=500, oob_score=True,\n",
      "                                       random_state=44))])\n",
      "Tuned RandomForestRegressor() Parameters: {'regressor__bootstrap': True, 'regressor__max_depth': 20, 'regressor__max_features': 35, 'regressor__max_leaf_nodes': 500, 'regressor__oob_score': True, 'regressor__random_state': 44}\n",
      "Best RandomForestRegressor() RMSE: 45.96122171663753\n"
     ]
    }
   ],
   "source": [
    "supervised_analysis(RandomForestRegressor())"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1e48ba16",
   "metadata": {},
   "source": [
    "## XGBoost\n",
    "\n",
    "Due to the computational requirements of the pipeline and grid search for numerous values in XGBoost (in the function above) I opted to narrow down the features using another function specific to XGBoost parameters."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "42c498af",
   "metadata": {},
   "outputs": [],
   "source": [
    "#scale data\n",
    "X = train.drop(['site_eui'],axis=1)\n",
    "sc=StandardScaler()\n",
    "X_sc = sc.fit_transform(X)\n",
    "X_train_sc,X_test_sc,y_train,y_test = train_test_split(X_sc,y,test_size=0.3,random_state=44)\n",
    "\n",
    "#normalize\n",
    "X_e = energy_df.drop(['site_eui'],axis=1)\n",
    "X_norm = normalize(X_e,axis=0)\n",
    "X_train_norm,X_test_norm,y_train,y_test = train_test_split(X_norm,y,test_size=0.3,random_state=44)\n",
    "\n",
    "y = train['site_eui']\n",
    "\n",
    "\n",
    "def xgboost(X_train,X_test,y_train,y_test):\n",
    "    print(f'XGBoost report:')\n",
    "    \n",
    "    gbm_param_grid = {'learning_rate': [0.1],\n",
    "                    'n_estimators':[200,500,1000],\n",
    "                    'subsample': [0.7,0.9],\n",
    "                    'colsample_bytree':[0.7],\n",
    "                    'max_depth': [11],\n",
    "                    'reg_alpha': [0.0001,0.001]\n",
    "                    }\n",
    "    gbm = XGBRegressor()\n",
    "    \n",
    "    print(f'Running the XGBoost analysis now...')\n",
    "\n",
    "    grid_xgb = GridSearchCV(estimator=gbm,\n",
    "                            param_grid=gbm_param_grid,\n",
    "                            scoring='neg_root_mean_squared_error',\n",
    "                            n_jobs=-1,\n",
    "                            cv=4,\n",
    "                            verbose=3)\n",
    "    \n",
    "    grid_xgb.fit(X_train,y_train)\n",
    "    print('Best parameters found: ', grid_xgb.best_params_)\n",
    "    print(\"lowest RMSE found: \",np.sqrt(np.abs(grid_xgb.best_score_)))\n",
    "    \n",
    "    \n",
    "    #test for over or underfitting\n",
    "    print('Evaluating over and underfitting...')\n",
    "    print('Grid training set score after tuning: '+ str(abs(grid_xgb.score(X_train,y_train))))\n",
    "    print('Grid test set score after tuning: '+ str(abs(grid_xgb.score(X_test,y_test))))\n",
    "\n",
    "    # Access the best set of parameters\n",
    "    best_params = grid_xgb.best_params_\n",
    "    print(best_params)\n",
    "    # Stores the optimum model in best_pipe\n",
    "    best_pipe = grid_xgb.best_estimator_\n",
    "    print(best_pipe)\n",
    "\n",
    "    best_params = grid_xgb.best_params_\n",
    "    best_rmse = abs(grid_xgb.best_score_)\n",
    "\n",
    "    # Print the tuned parameters and score\n",
    "    print(f'Tuned XGBoost Parameters: {best_params}')\n",
    "    print(f'Best XGBoost RMSE: {best_rmse}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "58bd3dc1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "XGBoost report:\n",
      "Running the XGBoost analysis now...\n",
      "Fitting 4 folds for each of 12 candidates, totalling 48 fits\n",
      "Best parameters found:  {'colsample_bytree': 0.7, 'learning_rate': 0.1, 'max_depth': 11, 'n_estimators': 1000, 'reg_alpha': 0.001, 'subsample': 0.9}\n",
      "lowest RMSE found:  6.280401797461543\n",
      "Evaluating over and underfitting...\n",
      "Grid training set score after tuning: 8.28861302823339\n",
      "Grid test set score after tuning: 39.19067142113127\n",
      "{'colsample_bytree': 0.7, 'learning_rate': 0.1, 'max_depth': 11, 'n_estimators': 1000, 'reg_alpha': 0.001, 'subsample': 0.9}\n",
      "XGBRegressor(base_score=0.5, booster='gbtree', colsample_bylevel=1,\n",
      "             colsample_bynode=1, colsample_bytree=0.7, enable_categorical=False,\n",
      "             gamma=0, gpu_id=-1, importance_type=None,\n",
      "             interaction_constraints='', learning_rate=0.1, max_delta_step=0,\n",
      "             max_depth=11, min_child_weight=1, missing=nan,\n",
      "             monotone_constraints='()', n_estimators=1000, n_jobs=8,\n",
      "             num_parallel_tree=1, predictor='auto', random_state=0,\n",
      "             reg_alpha=0.001, reg_lambda=1, scale_pos_weight=1, subsample=0.9,\n",
      "             tree_method='exact', validate_parameters=1, verbosity=None)\n",
      "Tuned XGBoost Parameters: {'colsample_bytree': 0.7, 'learning_rate': 0.1, 'max_depth': 11, 'n_estimators': 1000, 'reg_alpha': 0.001, 'subsample': 0.9}\n",
      "Best XGBoost RMSE: 39.44344673755818\n"
     ]
    }
   ],
   "source": [
    "#normalize\n",
    "#use energy data\n",
    "xgboost(X_train,X_test,y_train,y_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "942b7e77",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "XGBoost report:\n",
      "Running the XGBoost analysis now...\n",
      "Fitting 4 folds for each of 6 candidates, totalling 24 fits\n",
      "Best parameters found:  {'colsample_bytree': 0.7, 'learning_rate': 0.1, 'max_depth': 11, 'n_estimators': 1000, 'reg_alpha': 0.001, 'subsample': 0.9}\n",
      "lowest RMSE found:  6.267975889118458\n",
      "Evaluating over and underfitting...\n",
      "Grid training set score after tuning: 8.539093356766646\n",
      "Grid test set score after tuning: 39.12969780376884\n",
      "{'colsample_bytree': 0.7, 'learning_rate': 0.1, 'max_depth': 11, 'n_estimators': 1000, 'reg_alpha': 0.001, 'subsample': 0.9}\n",
      "XGBRegressor(base_score=0.5, booster='gbtree', colsample_bylevel=1,\n",
      "             colsample_bynode=1, colsample_bytree=0.7, enable_categorical=False,\n",
      "             gamma=0, gpu_id=-1, importance_type=None,\n",
      "             interaction_constraints='', learning_rate=0.1, max_delta_step=0,\n",
      "             max_depth=11, min_child_weight=1, missing=nan,\n",
      "             monotone_constraints='()', n_estimators=1000, n_jobs=8,\n",
      "             num_parallel_tree=1, predictor='auto', random_state=0,\n",
      "             reg_alpha=0.001, reg_lambda=1, scale_pos_weight=1, subsample=0.9,\n",
      "             tree_method='exact', validate_parameters=1, verbosity=None)\n",
      "Tuned XGBoost Parameters: {'colsample_bytree': 0.7, 'learning_rate': 0.1, 'max_depth': 11, 'n_estimators': 1000, 'reg_alpha': 0.001, 'subsample': 0.9}\n",
      "Best XGBoost RMSE: 39.28752174657032\n"
     ]
    }
   ],
   "source": [
    "#call function\n",
    "xgboost(X_train,X_test,y_train,y_test)\n",
    "\n",
    "#results:\n",
    "# rmse: Best XGBoost RMSE: 39.28752174657032\n",
    "# Evaluating over and underfitting...\n",
    "# Grid training set score after tuning: 8.539093356766646\n",
    "# Grid test set score after tuning: 39.12969780376884\n",
    "#def overfitting"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c02dd3fc",
   "metadata": {},
   "source": [
    "#### output and notes\n",
    "\n",
    "- Best parameters found:  {'colsample_bytree': 0.7, 'learning_rate': 0.1, 'max_depth': 11, 'n_estimators': 1000, 'subsample': 0.9} lowest RMSE found:  39.43352789205589\n",
    "\n",
    "- Fitting 4 folds for each of 1 candidates, totalling 4 fits Best parameters found:  {'colsample_bytree': 0.7, 'learning_rate': 0.1, 'max_depth': 10, 'n_estimators': 1000, 'subsample': 0.9} lowest RMSE found:  39.51693811723923\n",
    "\n",
    "- Fitting 4 folds for each of 1 candidates, totalling 4 fits Best parameters found:  {'colsample_bytree': 0.7, 'learning_rate': 0.1, 'max_depth': 10, 'n_estimators': 900, 'subsample': 0.9} lowest RMSE found:  39.513904528498436\n",
    "\n",
    "- Best parameters found:  {'colsample_bytree': 0.7, 'learning_rate': 0.1, 'max_depth': 9, 'n_estimators': 800, 'subsample': 0.9} lowest RMSE found:  39.57005311266341\n",
    "\n",
    "- Fitting 4 folds for each of 4 candidates, totalling 16 fits, Best parameters found:  {'colsample_bytree': 0.7, 'learning_rate': 0.1, 'max_depth': 8, 'n_estimators': 700, 'subsample': 0.9} lowest RMSE found:  39.69723628854447\n",
    "\n",
    "- Best parameters found:  {'colsample_bytree': 0.7, 'learning_rate': 0.1, 'max_depth': 6, 'n_estimators': 600, 'subsample': 0.9}, lowest RMSE found:  40.34806500753284\n",
    "                 \n",
    "- Best parameters found:  {'colsample_bytree': 0.7, 'learning_rate': 0.1, 'max_depth': 5, 'n_estimators': 400, 'subsample': 0.9}, lowest RMSE found:  41.35765987979435"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "abbe43d6",
   "metadata": {},
   "source": [
    "### CatBoost\n",
    "\n",
    "CatBoost is unique in that it can handle categorical features.  It encodes them for the model, but only requires the user to select the fields that are categorical.  One additional requirement of CatBoost is non-negative values, which meant that I needed to convert the temperature values in the dataset because many were negative - but MinMaxScaler was used to tranform the values and run the model.  This model was more performant but it comes at a cost of some overfitting."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "dbcd0f93",
   "metadata": {},
   "outputs": [],
   "source": [
    "catboost_df = pd.read_csv('train_before_ohe.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "2a5d3b89",
   "metadata": {},
   "outputs": [
    {
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       "      <th>Year_Factor</th>\n",
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       "      <th>75746</th>\n",
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       "      <td>0.207373</td>\n",
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      ],
      "text/plain": [
       "       Unnamed: 0  Year_Factor State_Factor building_class  \\\n",
       "0               0            1      State_1     Commercial   \n",
       "1               1            1      State_1     Commercial   \n",
       "2               2            1      State_1     Commercial   \n",
       "3               3            1      State_1     Commercial   \n",
       "4               4            1      State_1     Commercial   \n",
       "...           ...          ...          ...            ...   \n",
       "75742       75752            6     State_11     Commercial   \n",
       "75743       75753            6     State_11    Residential   \n",
       "75744       75754            6     State_11     Commercial   \n",
       "75745       75755            6     State_11     Commercial   \n",
       "75746       75756            6     State_11    Residential   \n",
       "\n",
       "                                   facility_type  floor_area  year_built  \\\n",
       "0                   Grocery_store_or_food_market     61242.0      1942.0   \n",
       "1      Warehouse_Distribution_or_Shipping_center    274000.0      1955.0   \n",
       "2                           Retail_Enclosed_mall    280025.0      1951.0   \n",
       "3                      Education_Other_classroom     55325.0      1980.0   \n",
       "4                      Warehouse_Nonrefrigerated     66000.0      1985.0   \n",
       "...                                          ...         ...         ...   \n",
       "75742                       Office_Uncategorized     20410.0      1995.0   \n",
       "75743                        5plus_Unit_Building     40489.0      1910.0   \n",
       "75744                           Commercial_Other     28072.0      1917.0   \n",
       "75745                           Commercial_Other     53575.0      2012.0   \n",
       "75746                         2to4_Unit_Building     23888.0      1974.0   \n",
       "\n",
       "       energy_star_rating  ELEVATION  cooling_degree_days  ...    temp03  \\\n",
       "0                    11.0        2.4                  115  ...  0.736569   \n",
       "1                    45.0        1.8                  115  ...  0.736569   \n",
       "2                    97.0        1.8                  115  ...  0.736569   \n",
       "3                    46.0        1.8                  115  ...  0.736569   \n",
       "4                   100.0        2.4                  115  ...  0.736569   \n",
       "...                   ...        ...                  ...  ...       ...   \n",
       "75742                 8.0       36.6                  260  ...  0.602615   \n",
       "75743                98.0       36.6                  260  ...  0.602615   \n",
       "75744                67.0       36.6                   55  ...  0.434496   \n",
       "75745                67.0       36.6                   55  ...  0.434496   \n",
       "75746                51.0       36.6                  148  ...  0.471489   \n",
       "\n",
       "         temp04    temp05    temp06    temp07    temp08    temp09    temp10  \\\n",
       "0      0.554350  0.405186  0.354274  0.277400  0.242879  0.425535  0.526141   \n",
       "1      0.554350  0.405186  0.354274  0.277400  0.242879  0.425535  0.526141   \n",
       "2      0.554350  0.405186  0.354274  0.277400  0.242879  0.425535  0.526141   \n",
       "3      0.554350  0.405186  0.354274  0.277400  0.242879  0.425535  0.526141   \n",
       "4      0.554350  0.405186  0.354274  0.277400  0.242879  0.425535  0.526141   \n",
       "...         ...       ...       ...       ...       ...       ...       ...   \n",
       "75742  0.658658  0.458069  0.364276  0.355181  0.349112  0.210433  0.240169   \n",
       "75743  0.658658  0.458069  0.364276  0.355181  0.349112  0.210433  0.240169   \n",
       "75744  0.444714  0.249573  0.192374  0.184933  0.221137  0.050072  0.065090   \n",
       "75745  0.444714  0.249573  0.192374  0.184933  0.221137  0.050072  0.065090   \n",
       "75746  0.535297  0.286639  0.250508  0.216753  0.278519  0.109461  0.110592   \n",
       "\n",
       "         temp11    temp12  \n",
       "0      0.648321  0.726062  \n",
       "1      0.648321  0.726062  \n",
       "2      0.648321  0.726062  \n",
       "3      0.648321  0.726062  \n",
       "4      0.648321  0.726062  \n",
       "...         ...       ...  \n",
       "75742  0.590472  0.386841  \n",
       "75743  0.590472  0.386841  \n",
       "75744  0.398432  0.210701  \n",
       "75745  0.398432  0.210701  \n",
       "75746  0.438378  0.207373  \n",
       "\n",
       "[75747 rows x 36 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#columns with negative values - catboost doesn't handle negatives, must convert\n",
    "\n",
    "def scale_data(data,columns,scaler):\n",
    "    for col in columns:\n",
    "        data[col] = scaler.fit_transform(data[col].values.reshape(-1,1))\n",
    "    return data\n",
    "\n",
    "columns = ['temp01','temp02','temp03','temp04','temp05','temp06','temp07', 'temp08','temp09','temp10','temp11','temp12']\n",
    "\n",
    "scale_data(catboost_df, columns, MinMaxScaler())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "9aa42fbc",
   "metadata": {},
   "outputs": [],
   "source": [
    "catboost_df = catboost_df.drop(['Unnamed: 0'],axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "a9b90627",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
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       "      <th>0</th>\n",
       "      <td>State_1</td>\n",
       "      <td>Commercial</td>\n",
       "      <td>Grocery_store_or_food_market</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>State_1</td>\n",
       "      <td>Commercial</td>\n",
       "      <td>Warehouse_Distribution_or_Shipping_center</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>State_1</td>\n",
       "      <td>Commercial</td>\n",
       "      <td>Retail_Enclosed_mall</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>State_1</td>\n",
       "      <td>Commercial</td>\n",
       "      <td>Education_Other_classroom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>State_1</td>\n",
       "      <td>Commercial</td>\n",
       "      <td>Warehouse_Nonrefrigerated</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  State_Factor building_class                              facility_type\n",
       "0      State_1     Commercial               Grocery_store_or_food_market\n",
       "1      State_1     Commercial  Warehouse_Distribution_or_Shipping_center\n",
       "2      State_1     Commercial                       Retail_Enclosed_mall\n",
       "3      State_1     Commercial                  Education_Other_classroom\n",
       "4      State_1     Commercial                  Warehouse_Nonrefrigerated"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#split data into categorical and numeric to standardize the numeric, then join back together\n",
    "cats = catboost_df[['State_Factor','building_class','facility_type']]\n",
    "cats.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "6a5fb230",
   "metadata": {},
   "outputs": [
    {
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       "   Year_Factor  floor_area  year_built  energy_star_rating  ELEVATION  \\\n",
       "0            1     61242.0      1942.0                11.0        2.4   \n",
       "1            1    274000.0      1955.0                45.0        1.8   \n",
       "2            1    280025.0      1951.0                97.0        1.8   \n",
       "3            1     55325.0      1980.0                46.0        1.8   \n",
       "4            1     66000.0      1985.0               100.0        2.4   \n",
       "\n",
       "   cooling_degree_days  heating_degree_days  precipitation_inches  \\\n",
       "0                  115                 2960                 16.59   \n",
       "1                  115                 2960                 16.59   \n",
       "2                  115                 2960                 16.59   \n",
       "3                  115                 2960                 16.59   \n",
       "4                  115                 2960                 16.59   \n",
       "\n",
       "   snowfall_inches  snowdepth_inches  ...    temp03   temp04    temp05  \\\n",
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       "4              0.0                 0  ...  0.736569  0.55435  0.405186   \n",
       "\n",
       "     temp06  temp07    temp08    temp09    temp10    temp11    temp12  \n",
       "0  0.354274  0.2774  0.242879  0.425535  0.526141  0.648321  0.726062  \n",
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       "2  0.354274  0.2774  0.242879  0.425535  0.526141  0.648321  0.726062  \n",
       "3  0.354274  0.2774  0.242879  0.425535  0.526141  0.648321  0.726062  \n",
       "4  0.354274  0.2774  0.242879  0.425535  0.526141  0.648321  0.726062  \n",
       "\n",
       "[5 rows x 31 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#drop categorical to normalize and standardize the numeric data\n",
    "X = catboost_df.drop(['State_Factor','building_class','facility_type','site_eui'],axis=1)\n",
    "X.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "03608420",
   "metadata": {},
   "outputs": [],
   "source": [
    "X_norm = normalize(X,axis=0)\n",
    "sc = StandardScaler()\n",
    "X_scaled = sc.fit_transform(X)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "37153d3e",
   "metadata": {},
   "outputs": [
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       "          0         1         2         3        4        5         6  \\\n",
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       "\n",
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       "4  0.001378  0.0  0.0  ...  0.002675  0.001765  0.001824  0.00313  0.004794   \n",
       "\n",
       "         29        30  State_Factor  building_class  \\\n",
       "0  0.004939  0.004986       State_1      Commercial   \n",
       "1  0.004939  0.004986       State_1      Commercial   \n",
       "2  0.004939  0.004986       State_1      Commercial   \n",
       "3  0.004939  0.004986       State_1      Commercial   \n",
       "4  0.004939  0.004986       State_1      Commercial   \n",
       "\n",
       "                               facility_type  \n",
       "0               Grocery_store_or_food_market  \n",
       "1  Warehouse_Distribution_or_Shipping_center  \n",
       "2                       Retail_Enclosed_mall  \n",
       "3                  Education_Other_classroom  \n",
       "4                  Warehouse_Nonrefrigerated  \n",
       "\n",
       "[5 rows x 34 columns]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_norm_df = pd.DataFrame(X_norm)\n",
    "X_norm_concat = pd.concat([X_norm_df,cats],axis=1)\n",
    "X_norm_concat.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "9fc773d5",
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "      <th>6</th>\n",
       "      <th>7</th>\n",
       "      <th>8</th>\n",
       "      <th>9</th>\n",
       "      <th>...</th>\n",
       "      <th>24</th>\n",
       "      <th>25</th>\n",
       "      <th>26</th>\n",
       "      <th>27</th>\n",
       "      <th>28</th>\n",
       "      <th>29</th>\n",
       "      <th>30</th>\n",
       "      <th>State_Factor</th>\n",
       "      <th>building_class</th>\n",
       "      <th>facility_type</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>-2.288904</td>\n",
       "      <td>-0.424225</td>\n",
       "      <td>-0.328187</td>\n",
       "      <td>-2.244024</td>\n",
       "      <td>-0.611736</td>\n",
       "      <td>-2.776539</td>\n",
       "      <td>-1.655667</td>\n",
       "      <td>-2.439561</td>\n",
       "      <td>-1.635818</td>\n",
       "      <td>-0.940572</td>\n",
       "      <td>...</td>\n",
       "      <td>-1.952765</td>\n",
       "      <td>-3.149724</td>\n",
       "      <td>-2.61374</td>\n",
       "      <td>-0.540814</td>\n",
       "      <td>1.42479</td>\n",
       "      <td>1.635194</td>\n",
       "      <td>1.487956</td>\n",
       "      <td>State_1</td>\n",
       "      <td>Commercial</td>\n",
       "      <td>Grocery_store_or_food_market</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-2.288904</td>\n",
       "      <td>0.437533</td>\n",
       "      <td>0.078222</td>\n",
       "      <td>-0.780884</td>\n",
       "      <td>-0.621628</td>\n",
       "      <td>-2.776539</td>\n",
       "      <td>-1.655667</td>\n",
       "      <td>-2.439561</td>\n",
       "      <td>-1.635818</td>\n",
       "      <td>-0.940572</td>\n",
       "      <td>...</td>\n",
       "      <td>-1.952765</td>\n",
       "      <td>-3.149724</td>\n",
       "      <td>-2.61374</td>\n",
       "      <td>-0.540814</td>\n",
       "      <td>1.42479</td>\n",
       "      <td>1.635194</td>\n",
       "      <td>1.487956</td>\n",
       "      <td>State_1</td>\n",
       "      <td>Commercial</td>\n",
       "      <td>Warehouse_Distribution_or_Shipping_center</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>-2.288904</td>\n",
       "      <td>0.461937</td>\n",
       "      <td>-0.046827</td>\n",
       "      <td>1.456858</td>\n",
       "      <td>-0.621628</td>\n",
       "      <td>-2.776539</td>\n",
       "      <td>-1.655667</td>\n",
       "      <td>-2.439561</td>\n",
       "      <td>-1.635818</td>\n",
       "      <td>-0.940572</td>\n",
       "      <td>...</td>\n",
       "      <td>-1.952765</td>\n",
       "      <td>-3.149724</td>\n",
       "      <td>-2.61374</td>\n",
       "      <td>-0.540814</td>\n",
       "      <td>1.42479</td>\n",
       "      <td>1.635194</td>\n",
       "      <td>1.487956</td>\n",
       "      <td>State_1</td>\n",
       "      <td>Commercial</td>\n",
       "      <td>Retail_Enclosed_mall</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>-2.288904</td>\n",
       "      <td>-0.448192</td>\n",
       "      <td>0.859778</td>\n",
       "      <td>-0.737851</td>\n",
       "      <td>-0.621628</td>\n",
       "      <td>-2.776539</td>\n",
       "      <td>-1.655667</td>\n",
       "      <td>-2.439561</td>\n",
       "      <td>-1.635818</td>\n",
       "      <td>-0.940572</td>\n",
       "      <td>...</td>\n",
       "      <td>-1.952765</td>\n",
       "      <td>-3.149724</td>\n",
       "      <td>-2.61374</td>\n",
       "      <td>-0.540814</td>\n",
       "      <td>1.42479</td>\n",
       "      <td>1.635194</td>\n",
       "      <td>1.487956</td>\n",
       "      <td>State_1</td>\n",
       "      <td>Commercial</td>\n",
       "      <td>Education_Other_classroom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>-2.288904</td>\n",
       "      <td>-0.404953</td>\n",
       "      <td>1.016089</td>\n",
       "      <td>1.585959</td>\n",
       "      <td>-0.611736</td>\n",
       "      <td>-2.776539</td>\n",
       "      <td>-1.655667</td>\n",
       "      <td>-2.439561</td>\n",
       "      <td>-1.635818</td>\n",
       "      <td>-0.940572</td>\n",
       "      <td>...</td>\n",
       "      <td>-1.952765</td>\n",
       "      <td>-3.149724</td>\n",
       "      <td>-2.61374</td>\n",
       "      <td>-0.540814</td>\n",
       "      <td>1.42479</td>\n",
       "      <td>1.635194</td>\n",
       "      <td>1.487956</td>\n",
       "      <td>State_1</td>\n",
       "      <td>Commercial</td>\n",
       "      <td>Warehouse_Nonrefrigerated</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 34 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          0         1         2         3         4         5         6  \\\n",
       "0 -2.288904 -0.424225 -0.328187 -2.244024 -0.611736 -2.776539 -1.655667   \n",
       "1 -2.288904  0.437533  0.078222 -0.780884 -0.621628 -2.776539 -1.655667   \n",
       "2 -2.288904  0.461937 -0.046827  1.456858 -0.621628 -2.776539 -1.655667   \n",
       "3 -2.288904 -0.448192  0.859778 -0.737851 -0.621628 -2.776539 -1.655667   \n",
       "4 -2.288904 -0.404953  1.016089  1.585959 -0.611736 -2.776539 -1.655667   \n",
       "\n",
       "          7         8         9  ...        24        25       26        27  \\\n",
       "0 -2.439561 -1.635818 -0.940572  ... -1.952765 -3.149724 -2.61374 -0.540814   \n",
       "1 -2.439561 -1.635818 -0.940572  ... -1.952765 -3.149724 -2.61374 -0.540814   \n",
       "2 -2.439561 -1.635818 -0.940572  ... -1.952765 -3.149724 -2.61374 -0.540814   \n",
       "3 -2.439561 -1.635818 -0.940572  ... -1.952765 -3.149724 -2.61374 -0.540814   \n",
       "4 -2.439561 -1.635818 -0.940572  ... -1.952765 -3.149724 -2.61374 -0.540814   \n",
       "\n",
       "        28        29        30  State_Factor  building_class  \\\n",
       "0  1.42479  1.635194  1.487956       State_1      Commercial   \n",
       "1  1.42479  1.635194  1.487956       State_1      Commercial   \n",
       "2  1.42479  1.635194  1.487956       State_1      Commercial   \n",
       "3  1.42479  1.635194  1.487956       State_1      Commercial   \n",
       "4  1.42479  1.635194  1.487956       State_1      Commercial   \n",
       "\n",
       "                               facility_type  \n",
       "0               Grocery_store_or_food_market  \n",
       "1  Warehouse_Distribution_or_Shipping_center  \n",
       "2                       Retail_Enclosed_mall  \n",
       "3                  Education_Other_classroom  \n",
       "4                  Warehouse_Nonrefrigerated  \n",
       "\n",
       "[5 rows x 34 columns]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_scaled_df = pd.DataFrame(X_scaled)\n",
    "X_scaled_concat = pd.concat([X_scaled_df,cats],axis=1)\n",
    "X_scaled_concat.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "59acff70",
   "metadata": {},
   "outputs": [],
   "source": [
    "#train-test-split\n",
    "#scaled\n",
    "y = catboost_df['site_eui']\n",
    "X_train_sc,X_test_sc,y_train,y_test = train_test_split(X_scaled_concat,y,test_size=0.3,random_state=44)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "67d3fed4",
   "metadata": {},
   "outputs": [],
   "source": [
    "#train-test-split\n",
    "#normalized\n",
    "y = catboost_df['site_eui']\n",
    "X_train_norm,X_test_norm,y_train,y_test = train_test_split(X_norm_concat,y,test_size=0.3,random_state=44)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "77aa054b",
   "metadata": {},
   "source": [
    "#### data prepped and model ready to run"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "828803cd",
   "metadata": {},
   "outputs": [],
   "source": [
    "#keep\n",
    "def catboost(X_train,X_test,y_train,y_test,iterations,lr):\n",
    "    cat_features = [31,32,33]\n",
    "    model = CatBoostRegressor(iterations=iterations,learning_rate=lr,loss_function='RMSE',eval_metric='RMSE',random_seed=44)\n",
    "    model.fit(X_train,y_train,cat_features=cat_features,verbose=True)\n",
    "    print(model.get_best_score())\n",
    "\n",
    "    print('Evaluating over and underfitting (using R2 only)...')\n",
    "    print('Grid training set score after tuning: '+ str(abs(model.score(X_train,y_train))))\n",
    "    print('Grid test set score after tuning: '+ str(abs(model.score(X_test,y_test))))\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "9a5fb445",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
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      "999:\tlearn: 28.9511270\ttotal: 46.4s\tremaining: 0us\n",
      "{'learn': {'RMSE': 28.951127002323364}}\n",
      "Evaluating over and underfitting (using R2 only)...\n",
      "Grid training set score after tuning: 0.7059543969289848\n",
      "Grid test set score after tuning: 0.4404579396623016\n"
     ]
    }
   ],
   "source": [
    "#normalized\n",
    "catboost(X_train_norm,X_test_norm,y_train,y_test,1000,0.5)\n",
    "\n",
    "# {'learn': {'RMSE': 28.951127002323364}}\n",
    "# Evaluating over and underfitting (using R2 only)...\n",
    "# Grid training set score after tuning: 0.7059543969289848\n",
    "# Grid test set score after tuning: 0.4404579396623016"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "547f05a2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
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      "999:\tlearn: 28.9511270\ttotal: 46.8s\tremaining: 0us\n",
      "{'learn': {'RMSE': 28.951127002323364}}\n",
      "Evaluating over and underfitting (using R2 only)...\n",
      "Grid training set score after tuning: 0.7059543969289848\n",
      "Grid test set score after tuning: 0.4404579396623016\n"
     ]
    }
   ],
   "source": [
    "#standardized\n",
    "catboost(X_train_sc,X_test_sc,y_train,y_test,1000,0.5)\n",
    "# {'learn': {'RMSE': 28.951127002323364}}\n",
    "# Evaluating over and underfitting (using R2 only)...\n",
    "# Grid training set score after tuning: 0.7059543969289848\n",
    "# Grid test set score after tuning: 0.4404579396623016"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "a9b25ba6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "99:\tlearn: 38.0919704\ttotal: 3.77s\tremaining: 0us\n",
      "{'learn': {'RMSE': 38.091970439867396}}\n",
      "Evaluating over and underfitting (using R2 only)...\n",
      "Grid training set score after tuning: 0.5578830940624534\n",
      "Grid test set score after tuning: 0.38417545934718056\n"
     ]
    }
   ],
   "source": [
    "#normalized\n",
    "catboost(X_train_norm,X_test_norm,y_train,y_test,100,0.9)\n",
    "\n",
    "# {'learn': {'RMSE': 38.091970439867396}}\n",
    "# Evaluating over and underfitting (using R2 only)...\n",
    "# Grid training set score after tuning: 0.5578830940624534\n",
    "# Grid test set score after tuning: 0.38417545934718056"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "64932a37",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "99:\tlearn: 37.2630135\ttotal: 3.65s\tremaining: 0us\n",
      "{'learn': {'RMSE': 37.26301354329915}}\n",
      "Evaluating over and underfitting (using R2 only)...\n",
      "Grid training set score after tuning: 0.5718720678974376\n",
      "Grid test set score after tuning: 0.3879050642699865\n"
     ]
    }
   ],
   "source": [
    "#normalized\n",
    "catboost(X_train_norm,X_test_norm,y_train,y_test,100,0.99)"
   ]
  }
 ],
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