3_rf_importance.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "ba0bf0fe",
   "metadata": {},
   "source": [
    "# Random Forest Classification"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "7532bd6d",
   "metadata": {},
   "outputs": [],
   "source": [
    "import shap\n",
    "from scipy.stats import spearmanr\n",
    "from scipy.cluster import hierarchy\n",
    "from scipy.spatial.distance import squareform\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "from tqdm import tqdm\n",
    "\n",
    "import os\n",
    "os.environ['USE_PYGEOS'] = '0'\n",
    "\n",
    "import geopandas as gpd\n",
    "import trackintel as ti\n",
    "\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn.model_selection import train_test_split,  RandomizedSearchCV, GridSearchCV\n",
    "from sklearn.metrics import confusion_matrix, ConfusionMatrixDisplay, f1_score, recall_score, precision_score\n",
    "from sklearn.inspection import permutation_importance\n",
    "from sklearn.base import clone\n",
    "\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.colors as clr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "c89f0a6d",
   "metadata": {},
   "outputs": [],
   "source": [
    "FEATURES_COL = [\n",
    "    \"length\",\n",
    "    \"dur\",\n",
    "    \"speed_av\",\n",
    "    \"speed_85th\",\n",
    "    # \"speed_90th\",\n",
    "    # \"speed_95th\",\n",
    "    \"acc_av\",\n",
    "    \"acc_85th\",\n",
    "    \"br_av\",\n",
    "    \"br_85th\",\n",
    "    \"rwStation_se_dist_min\",\n",
    "    \"rwStation_se_dist_max\",\n",
    "    \"tramStop_se_dist_min\",\n",
    "    \"tramStop_se_dist_max\",\n",
    "    \"busStop_se_dist_min\",\n",
    "    \"busStop_se_dist_max\",\n",
    "    \"carParking_se_dist_min\",\n",
    "    \"carParking_se_dist_max\",\n",
    "    \"bicycleParking_se_dist_min\",\n",
    "    \"bicycleParking_se_dist_max\",\n",
    "    \"landingStage_se_dist_min\",\n",
    "    \"landingStage_se_dist_max\",\n",
    "    \"rwStations_dist_av\",\n",
    "    \"tramStops_dist_av\",\n",
    "    \"busStops_dist_av\",\n",
    "    \"poi_dist_av\",\n",
    "    \"rwNetwork_dist_av\",\n",
    "    \"tramNetwork_dist_av\",\n",
    "    \"roadNetwork_dist_av\",\n",
    "    \"pbNetwork_dist_av\",\n",
    "    \"water_ovlp_prop\",\n",
    "    'greenSpaces_poly_dist', \n",
    "    'residental_poly_dist', \n",
    "    'forest_poly_dist'\n",
    "]\n",
    "\n",
    "FEATURES_SIMBOL = [\n",
    "    \"1.1 $D$\",\n",
    "    \"1.2 $T$\",\n",
    "    \"1.3 $\\overline{V}$\",\n",
    "    \"1.4 $V^{85^{th}}$\",\n",
    "    # \"1.4 $V^{90^{th}}$\",\n",
    "    # \"1.4 $V^{95^{th}}$\",\n",
    "    \"1.5 $\\overline{A}$\",\n",
    "    \"1.6 $A^{85^{th}}$\",\n",
    "    \"1.7 $\\overline{B}$\",\n",
    "    \"1.8 $B^{85^{th}}$\",\n",
    "    \"2.1 $D^{min}_{rail}$\",\n",
    "    \"2.2 $D^{max}_{rail}$\",\n",
    "    \"2.3 $D^{min}_{tram}$\",\n",
    "    \"2.4 $D^{max}_{tram}$\",\n",
    "    \"2.5 $D^{min}_{bus}$\",\n",
    "    \"2.6 $D^{max}_{bus}$\",\n",
    "    \"2.7 $D^{min}_{car}$\",\n",
    "    \"2.8 $D^{max}_{car}$\",\n",
    "    \"2.9 $D^{min}_{bike}$\",\n",
    "    \"2.10 $D^{max}_{bike}$\",\n",
    "    \"2.11 $D^{min}_{ship}$\",\n",
    "    \"2.12 $D^{max}_{ship}$\",\n",
    "    \"2.13 $D_{railS}$\",\n",
    "    \"2.14 $D_{tramS}$\",\n",
    "    \"2.15 $D_{busS}$\",\n",
    "    \"2.16 $D_{POIS}$\",\n",
    "    \"2.17 $D_{railN}$\",\n",
    "    \"2.18 $D_{tramN}$\",\n",
    "    \"2.19 $D_{roadN}$\",\n",
    "    \"2.20 $D_{pedN}$\",\n",
    "    \"2.21 $P_{water}$\",\n",
    "    \"2.22 $D_{green}$\",\n",
    "    \"2.23 $D_{resident}$\",\n",
    "    \"2.24 $D_{forest}$\",\n",
    "]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "eb4802a4",
   "metadata": {},
   "source": [
    "## Load Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "a408d941",
   "metadata": {},
   "outputs": [],
   "source": [
    "# load data\n",
    "tl = pd.read_csv(os.path.join(\"data\", \"triplegs_features.csv\"), index_col=\"index\")\n",
    "tl_data = tl[FEATURES_COL].copy()\n",
    "X = tl_data"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e3ef312a",
   "metadata": {},
   "source": [
    "## Prepare Data for Classification"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "56afd568",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "classes: ['Walk' 'Car' 'Train' 'Bicycle' 'Boat' 'Bus' 'Tram']\n",
      "Dimensons of X: (365307, 32)\n",
      "Dimensons of y: (365307,)\n"
     ]
    }
   ],
   "source": [
    "# prepare target for classification\n",
    "tl_target = tl['mode'].replace({\n",
    "    'Mode::Car': 'Car',\n",
    "    'Mode::Ecar': 'Car',\n",
    "    'Mode::Bicycle': 'Bicycle',\n",
    "    'Mode::Ebicycle': 'Bicycle',\n",
    "    'Mode::Walk': 'Walk',\n",
    "    'Mode::Train': 'Train',\n",
    "    'Mode::Tram': 'Tram',\n",
    "    'Mode::Bus': 'Bus',\n",
    "    'Mode::Boat': 'Boat'\n",
    "})\n",
    "y = tl_target\n",
    "\n",
    "print('classes:', y.unique())\n",
    "print('Dimensons of X:', X.shape)\n",
    "print('Dimensons of y:', y.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "681818d8",
   "metadata": {},
   "outputs": [],
   "source": [
    "# split data into test and training set\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=56)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "37c2d66d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Walk       124068\n",
       "Car        104557\n",
       "Train       41222\n",
       "Bicycle      9587\n",
       "Bus          7533\n",
       "Tram         4991\n",
       "Boat          287\n",
       "Name: mode, dtype: int64"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_train.value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "95711b77",
   "metadata": {
    "tags": []
   },
   "source": [
    "## Select Optimal Parameters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6d8c9156",
   "metadata": {},
   "outputs": [],
   "source": [
    "def hyper_tune(X_train, y_train):\n",
    "    # create random forest calssifier model\n",
    "    rf_base = RandomForestClassifier(random_state=56, n_jobs=-1)\n",
    "\n",
    "    # tuning hyper parameters with randomized search to optimize F1 score\n",
    "    param_grid = {\n",
    "        \"n_estimators\": np.arange(50, 301, 10),\n",
    "        \"max_depth\": np.arange(10, 31, 2),\n",
    "        \"class_weight\": [None, \"balanced_subsample\"],\n",
    "    }\n",
    "    n_iter_search = 200\n",
    "    search = RandomizedSearchCV(\n",
    "        rf_base, verbose=0, param_distributions=param_grid, n_iter=n_iter_search, scoring=\"f1_macro\", n_jobs=-1\n",
    "    )\n",
    "    search.fit(X_train, y_train)\n",
    "    print(\"Parameters:\", search.best_params_)\n",
    "    print(\"F1 Score:\", search.best_score_)\n",
    "    print(pd.DataFrame(search.cv_results_).sort_values(by=\"mean_test_score\", ascending=False))\n",
    "\n",
    "hyper_tune(X_train, y_train)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7731f42b",
   "metadata": {},
   "source": [
    "## RF with the optimal parameter set"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "38f3b3a5",
   "metadata": {},
   "outputs": [
    {
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       "                       n_estimators=150, n_jobs=-1, random_state=10)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" checked><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">RandomForestClassifier</label><div class=\"sk-toggleable__content\"><pre>RandomForestClassifier(class_weight=&#x27;balanced_subsample&#x27;, max_depth=21,\n",
       "                       n_estimators=150, n_jobs=-1, random_state=10)</pre></div></div></div></div></div>"
      ],
      "text/plain": [
       "RandomForestClassifier(class_weight='balanced_subsample', max_depth=21,\n",
       "                       n_estimators=150, n_jobs=-1, random_state=10)"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# create and fit random forest calssifier model\n",
    "rf = RandomForestClassifier(\n",
    "    n_estimators=150, max_depth=21, class_weight='balanced_subsample', random_state=10, n_jobs=-1\n",
    ")\n",
    "rf.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c989dbf3",
   "metadata": {},
   "source": [
    "### Evaluate Model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "f3b1474b-949c-4e2c-8152-efe8d9e193c4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy: 93.0 Average F1 score: 83.1\n",
      "Bicycle: F1 score: 54.8 Recall: 50.4 Precision: 60.1\n",
      "Boat: F1 score: 77.7 Recall: 76.2 Precision: 79.2\n",
      "Bus: F1 score: 65.9 Recall: 62.5 Precision: 69.8\n",
      "Car: F1 score: 92.7 Recall: 91.8 Precision: 93.7\n",
      "Train: F1 score: 99.4 Recall: 99.2 Precision: 99.6\n",
      "Tram: F1 score: 96.2 Recall: 94.0 Precision: 98.6\n",
      "Walk: F1 score: 95.2 Recall: 97.0 Precision: 93.4\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def evaluate_model(rf, X, y, print_metrics=True, cmap=plt.cm.RdPu):\n",
    "    \"\"\"calcualte evaluation metrics and displays confusion matrix\"\"\"\n",
    "\n",
    "    # accuracy\n",
    "    accuracy = rf.score(X, y)\n",
    "\n",
    "    # average F1 score\n",
    "    y_true = y\n",
    "    y_pred = rf.predict(X)\n",
    "    f1_av = f1_score(y_true, y_pred, average=\"macro\")\n",
    "\n",
    "    # F1 score for each class\n",
    "    f1 = f1_score(y_true, y_pred, average=None)\n",
    "\n",
    "    recall = recall_score(y_true, y_pred, average=None)\n",
    "    precision = precision_score(y_true, y_pred, average=None)\n",
    "\n",
    "    if print_metrics:\n",
    "        # print metrics\n",
    "        print(\"Accuracy: {:.1f} Average F1 score: {:.1f}\".format(accuracy * 100, f1_av * 100))\n",
    "        for x in list(zip(rf.classes_, f1, recall, precision)):\n",
    "            print(\n",
    "                \"{}: F1 score: {:.1f} Recall: {:.1f} Precision: {:.1f}\".format(x[0], x[1] * 100, x[2] * 100, x[3] * 100)\n",
    "            )\n",
    "\n",
    "        # display confusion matrix\n",
    "        ConfusionMatrixDisplay.from_estimator(rf, X, y, cmap=cmap, values_format=\"\")  # Blues\n",
    "        plt.xticks(rotation=\"vertical\")\n",
    "        plt.show()\n",
    "\n",
    "    return accuracy, f1_av, f1\n",
    "\n",
    "y_pred = rf.predict(X_test)\n",
    "accuracy, f1_av, f1 = evaluate_model(rf, X_test, y_test)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "adaa7a99",
   "metadata": {
    "tags": []
   },
   "source": [
    "## Feature Importance Evaluation"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b33b1852",
   "metadata": {
    "tags": []
   },
   "source": [
    "### Mean Decrease in Impurity"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "e9bccca3",
   "metadata": {},
   "outputs": [],
   "source": [
    "# MDI importance\n",
    "result_mdi = rf.feature_importances_\n",
    "result_mdi_std = np.std([tree.feature_importances_ for tree in rf.estimators_], axis=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "8f138a17",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# error bars show inter-tree variability\n",
    "forest_importances = pd.Series(result_mdi, FEATURES_SIMBOL)\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(10,5))\n",
    "forest_importances.plot.bar(color='palevioletred', yerr=result_mdi_std, ax=ax, capsize=3, rot=60)\n",
    "ax.set_ylabel(\"Mean decrease in impurity (normalized)\", fontsize=12)\n",
    "fig.tight_layout()\n",
    "\n",
    "plt.ylim([0, 0.16])\n",
    "\n",
    "plt.savefig(os.path.join(\"fig\", \"MDI.png\"), bbox_inches=\"tight\", dpi=600)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bfcffee3",
   "metadata": {
    "tags": []
   },
   "source": [
    "### Feature Permutation Importance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "b75398e2",
   "metadata": {},
   "outputs": [],
   "source": [
    "# permutation_importance\n",
    "result_permutation = permutation_importance(\n",
    "    rf, X_test, y_test, n_repeats=5, scoring=\"f1_macro\", random_state=56, n_jobs=-1\n",
    ")\n",
    "permutation_importances = pd.Series(result_permutation.importances_mean, index=FEATURES_SIMBOL)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "a09e9066",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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7d/HmzRts374dt2/fxuTJk/VRTiIiIiIiIqJsReuAe+/evXB1dUX37t010rt164bp06djz549OiscERERERERUXaldcAdEhKCmjVrprisVq1aCA0NzXChiIiIiIiIiLI7rQPuUqVKwcfHJ8VlZ86cQcmSJTNcKCIiIiIiIqLsTuuAu2fPnpg9ezYWLlyIFy9eAABevHiBxYsXY/bs2bCystJ5IYmIiIiIiIiyG61nKZ8+fTouX76McePGYfz48cidOzfi4+MhImjTpg2mT5+uh2ISERERERERZS9at3DnzZsXBw8exIEDBzB+/Hj069cP48ePx6FDh3DgwAEYGhpqXQgPDw+UK1cORkZGMDU1xenTp1NdNzAwEL1790blypWRK1cujBkzJtk6q1evRpMmTVCwYEEULFgQrVq1wsWLF7UuFxEREREREVF6ad3CrdamTRu0adMmwwXYtm0bxowZAw8PDzRq1Aienp6wsLDAzZs3UaZMmWTrx8TEoEiRIpg8eTIWLVqU4jZPnDiBXr16wczMDEZGRpg7dy7Mzc1x48YNlCpVKsNlJiIiIiKinCE4IgwhEeGIjo9V0m6FPIFR7ncNiUWM86OocYGsKh5lc1oH3OfPn0dAQAB69OiRbNn27dthYmKC+vXrp3l7CxcuhI2NDWxtbQEA7u7uOHToEFasWAE3N7dk65ctWxaLFy8GAKxbty7FbW7atEnj9erVq7Fz504cPXoU/fr1S3PZiIiIiIgoZ9t69QyWXjigkWa13V15PrK+BUY1tMzkUlFOoXXAPWnSJDRq1CjFgPvmzZtYvXo1vL2907St2NhY+Pr6wtHRUSPd3NwcZ8+e1bZoqYqMjERcXBy++eabVNeJiYlBTEyM8jo8PFxn+RMRERER0afJqmYjtKxQI9XlRYzzZ2JpKKfROuC+evUqxo4dm+Ky+vXrw8PDI83bCg0NRUJCAooVK6aRXqxYMQQFBWlbtFQ5OjqiVKlSaNWqVarruLm5wcXFRWd5EhERERHRp6+ocQF2GSe90XrStIiICOTOnXKcnitXLrx580brQqhUKo3XIpIsLb3mzp2LLVu2YPfu3TAyMkp1PScnJ4SFhSmPx48f6yR/IiIiIiIi+jxpHXCXK1cOx48fT3HZ8ePHYWJikuZtFS5cGAYGBslas4ODg5O1eqfH/PnzMXv2bBw+fBg1a9b84Lp58+ZF/vz5NR5ERERERERE6aV1wG1lZYVFixbht99+00hfv3493N3d0atXrzRvy9DQEKampsnGfHt7e8PMzEzbommYN28eZsyYgYMHD6JevXoZ2hYRERERERGRtrQew+3o6IgTJ07AxsYGI0aMQMmSJfHs2TNER0fjp59+gpOTk1bbc3BwgLW1NerVq4eGDRti1apVCAgIwJAhQwC86+r99OlTbNiwQXmPn58fAODt27cICQmBn58fDA0NUa1aNQDvupFPnToVmzdvRtmyZZUW9C+//BJffvmltrtMREREREREpDWtA25DQ0N4e3tj8+bNOHjwIEJCQvDjjz/CwsICvXr1goGBgVbb69mzJ168eAFXV1cEBgaievXq8PLyUrqmBwYGIiAgQOM9derUUZ77+vpi8+bNMDExgb+/PwDAw8MDsbGx6Natm8b7nJ2dMX36dG13mYiIiIiIiEhrWgfcAGBgYABra2tYW1vrpBDDhg3DsGHDUly2fv36ZGki8sHtqQNvIiIiIiIioqyi9Rju6OjoZPeo3r59OxwdHXHkyBGdFYyIiIiIiIgoO9M64La2tsaoUaOU10uWLIGVlRXmzp2LNm3awMvLS6cFJCIiIiIiIsqOtA64L168iLZt2yqvlyxZgr59++L169f4+eefMX/+fJ0WkIiIiIiIiCg70jrgDgkJQalSpQAADx8+xIMHDzBy5Ejkz58fNjY2uH79us4LSURERERERJTdaD1p2hdffIGwsDAAwOnTp/Hll18q97k2MjLC27dvdVtCIiIiIiKiHCIwMBCBgYGpLi9RogRKlCiRiSUifdI64K5RowaWL18OExMTeHh4oHnz5lCpVACAgIAAFC9eXOeFJCIiIiIiygk8PT3h4uKS6nLeyjhn0Trgnjp1Ktq3b4/atWvD0NBQY2by/fv3o27dujotIBERERERUU5hZ2eHjh07IioqCo0bNwYA+Pj4IF++fADA1u0cRuuAu0WLFrh16xZ8fX1Ru3ZtlC9fXmNZ7dq1dVk+IiIiIiKiHEPdZTwiIkJJq127NoyNjbOwVKQvWgfcAGBiYgITE5Nk6XZ2dhkuEBEREREREVFOkK6Am4iIiIiIiNLmnv2yZGmRcTHK8/sTV+KLPHmTrfPdohF6LRfpn9a3BSMiIiIiIiKij2PATURERERERKQH7FJORERERESUSYIjwhASEY7o+Fgl7VbIExjlNgQAFDHOj6LGBbKqeKRjDLiJiIiIiIgyydarZ7D0wgGNNKvt7srzkfUtMKqhZSaXivSFATcREREREVEmsarZCC0r1Eh1eRHj/JlYGtI3nQbcBw8exLBhw/DgwQNdbpaIiIiIiChHKGpcgF3GPyM6nTQtIiICjx490uUmiYiIiIiIiLKlNLVwnzp1Kk0bu3HjRoYKQ0RERERERJRTpCng/umnn6BSqT66noikaT0iIiIiIiKinC5NAfcXX3yBVq1awdra+oPrnTt3DosWLdJJwYiIiIiIiIiyszQF3DVr1kRCQgK6du360XUZcBMRERERERGlcdK02rVr4/Lly2naoIhkqEBEREREREREOUGaWrhHjBiBBg0afHQ9S0tLPHz4MMOFIiIiIiIiIsru0hRwV6tWDdWqVfvoevny5YOJiUmGC0VERERERESU3en0PtxERERERERE9E6aAu4ff/wRN2/e1Eg7duwYIiIi9FIoIiIiIiIiouwuTQH3v//+i7dv3yqvExIS0Lp1a9y+fVtvBSMiIiIiIiLKztLdpZyzkRMRERERERGljmO4iYiIiIiIiPSAATcRERERERGRHqTptmAAsGXLFvj4+AAAEhMToVKpsGnTJpw4cUJjPZVKBXt7e50WkoiIiIiIiCi7SXPAvXjx4mRpixYtSpbGgJuIiIiIiIgojQH3w4cP9V0OIiIiIiIiohwlTQG3iYmJvstBRERERERElKN8EpOmeXh4oFy5cjAyMoKpqSlOnz6d6rqBgYHo3bs3KleujFy5cmHMmDEprrdr1y5Uq1YNefPmRbVq1bBnzx49lZ6IiIiIiIgouSwPuLdt24YxY8Zg8uTJuHz5Mpo0aQILCwsEBASkuH5MTAyKFCmCyZMno1atWimuc+7cOfTs2RPW1ta4cuUKrK2t0aNHD1y4cEGfu0JERERERESkyPKAe+HChbCxsYGtrS2qVq0Kd3d3lC5dGitWrEhx/bJly2Lx4sXo168fChQokOI67u7uaN26NZycnFClShU4OTmhZcuWcHd31+OeEBEREREREf1PlgbcsbGx8PX1hbm5uUa6ubk5zp49m+7tnjt3Ltk227Rp88FtxsTEIDw8XONBRERERERElF5ZGnCHhoYiISEBxYoV00gvVqwYgoKC0r3doKAgrbfp5uaGAgUKKI/SpUunO38iIiIiIiKiLO9SDry7d3dSIpIsTd/bdHJyQlhYmPJ4/PhxhvInIiIiIiKiz1uabgv2Pn9/f2zfvh2PHj1CVFSUxjKVSoW1a9emaTuFCxeGgYFBspbn4ODgZC3U2ihevLjW28ybNy/y5s2b7jyJiIiIiIiIktI64N6/fz9+/vlnJCQkoGjRosmCVG1apg0NDWFqagpvb2906dJFSff29kanTp20LZqiYcOG8Pb2hr29vZJ2+PBhmJmZpXubRERERERERNrQOuCePHkyGjVqhK1bt6Jo0aIZLoCDgwOsra1Rr149NGzYEKtWrUJAQACGDBkC4F1X76dPn2LDhg3Ke/z8/AAAb9++RUhICPz8/GBoaIhq1aoBAEaPHo2mTZvi119/RadOnbBv3z4cOXIEPj4+GS4vERERERERUVpoHXDfvXsXu3fv1kmwDQA9e/bEixcv4OrqisDAQFSvXh1eXl4wMTEBAAQGBia7J3edOnWU576+vti8eTNMTEzg7+8PADAzM8PWrVsxZcoUTJ06FRUqVMC2bdtQv359nZSZiIiIiIiI6GO0DrhNTEzw9u1bnRZi2LBhGDZsWIrL1q9fnyxNRD66zW7duqFbt24ZLRoRERERERFRumg9S/mkSZMwf/58REZG6qM8RERERERERDmC1i3cFy9eRHBwML777js0b94chQoV0liuUqmwePFinRWQiIiIiIiIKDvSOuBetmyZ8nzLli3JljPgJiIiIiIiIkpHwJ2YmKiPchARERERERHlKFqP4SYiIiIiIiKij2PATURERERERKQHaepSXr58eezZswe1atVCuXLloFKpUl1XpVLh/v37OisgERERERERUXaUpoC7WbNmyJ8/v/L8QwE3EREREREREaUx4P7tt9+U5+vXr9dXWYiIiIiIiIhyDI7hJiIiIiIiItIDBtxEREREREREesCAm4iIiIiIiEgPGHATERERERER6QEDbiIiIiIiIiI9YMBNREREREREpAfpDrgPHToEJycnDBo0CAEBAQCAf/75ByEhITorHBEREREREVF2lab7cCcVGRmJTp064ejRo1CpVACAoUOHokyZMpg/fz5Kly6N+fPn67ygRERERERERNmJ1i3ckydPxr///otdu3YhLCwMIqIsMzc3x5EjR3RaQCIiIiIiIqLsSOsW7h07dmDGjBno0qULEhISNJaVKVNG6V5ORERERERE9DnTuoU7JCQE33//fcoby5ULUVFRGS4UERERERERUXandcBdqlQpXLt2LcVlV69eRbly5TJcKCIiIiIiIqLsTuuA++eff8asWbNw+fJlJU2lUuHRo0dYtGgRunfvrtMCEhEREREREWVHWgfczs7OKFmyJH788UfUq1cPKpUKAwYMQPXq1VG0aFE4Ojrqo5xERERERERE2YrWAfdXX32Fs2fPYsaMGfjyyy9RoUIFfPHFF3BycsKpU6eQL18+fZSTiIiIiIiIKFvRepZyAMiXLx8cHR3Zmk1ERERERESUCq1buFNy4cIFrFy5Erdu3dLF5oiIiIiIiIiyPa1buG1tbREfH4/169cDALZu3YrevXsDAAwNDXH8+HE0bNhQp4UkIiIiIiIiym60buE+fvw4WrRoobyeNWsW2rZtCz8/P5iZmWH27Nk6LSARERERERFRdqR1wB0UFAQTExMAwLNnz3Djxg04OTmhZs2aGD16NP7991+dF5KIiIiIiIgou9E64M6TJw+io6MBAGfOnIGRkREaNGgAAChYsCBev36t0wISERERERERZUdaB9xVqlTBH3/8gTdv3mDt2rVo1KgR8uTJAwB48uQJihQpovNCEhEREREREWU3Wk+aNnbsWFhZWWHLli0AgL179yrLjh49ipo1a+qscERERERERETZldYBd/fu3VG6dGmcPXsWP/zwA5o0aaIs+/bbb9G1a1edFpCIiIiIiIgoO0rXfbgbNGgABwcHjWAbAFxcXGBpaan19jw8PFCuXDkYGRnB1NQUp0+f/uD6J0+ehKmpKYyMjFC+fHmsXLky2Tru7u6oXLky8uXLh9KlS8Pe3l4Ze05ERERERESkb+kKuHVp27ZtGDNmDCZPnozLly+jSZMmsLCwQEBAQIrrP3z4EJaWlmjSpAkuX76MSZMmYdSoUdi1a5eyzqZNm+Do6AhnZ2fcunULa9euxbZt2+Dk5JRZu0VERERERESfuXQF3Bs3bkS9evVgbGwMAwODZA9tLFy4EDY2NrC1tUXVqlXh7u6O0qVLY8WKFSmuv3LlSpQpUwbu7u6oWrUqbG1tMXDgQMyfP19Z59y5c2jUqBF69+6NsmXLwtzcHL169eIty4iIiIiIiCjTaB1w//nnnxgwYADq1KmDqKgoDBgwAL169YKxsTEqVqyIadOmpXlbsbGx8PX1hbm5uUa6ubk5zp49m+J7zp07l2z9Nm3a4N9//0VcXBwAoHHjxvD19cXFixcBAA8ePICXlxfatWunza4SERERERERpZvWAfecOXPg4OCgjJseNmwYNm7ciDt37iAhIQGlS5dO87ZCQ0ORkJCAYsWKaaQXK1YMQUFBKb4nKCgoxfXj4+MRGhoKALCyssKMGTPQuHFj5MmTBxUqVEDz5s3h6OiYalliYmIQHh6u8SAiIiIiIiJKL60D7tu3b6NVq1ZQqVQAgPj4eABA8eLFMWXKFCxcuFDrQqi3pSYiydI+tn7S9BMnTmDWrFnw8PDApUuXsHv3bvz999+YMWNGqtt0c3NDgQIFlIc2FQdERERERERE79P6tmAJCQkwNDRErly5YGxsrNESXaZMGTx48CDN2ypcuDAMDAyStWYHBwcna8VWK168eIrr586dG4UKFQIATJ06FdbW1rC1tQUA1KhRAxERERg8eDAmT56MXLmS1zM4OTnBwcFBeR0eHs6gm4iIiIiIiNJN6xbucuXK4dmzZwCAWrVqYcuWLcqynTt3okSJEmnelqGhIUxNTeHt7a2R7u3tDTMzsxTf07Bhw2TrHz58GPXq1UOePHkAAJGRkcmCagMDA4iI0hr+vrx58yJ//vwaDyIiIiIiIqL00jrgbtmyJY4cOQIAGD16NLZt24bvvvsO1apVw8qVKzFkyBCttufg4IA1a9Zg3bp1uHXrFuzt7REQEKBsx8nJCf369VPWHzJkCB49egQHBwfcunUL69atw9q1azFu3DhlnQ4dOmDFihXYunUrHj58CG9vb0ydOhUdO3bUehZ1IiIiIiIiovTQukv5rFmzEBMTAwDo3r07DAwMsGnTJqhUKkyYMAH9+/fXans9e/bEixcv4OrqisDAQFSvXh1eXl4wMTEBAAQGBmrck7tcuXLw8vKCvb09li9fjpIlS2LJkiXo2rWrss6UKVOgUqkwZcoUPH36FEWKFEGHDh0wa9YsbXeXiIiIiIiIKF1Uklof689ceHg4ChQogLCwMHYvJyIiIqLPyj37Zel633eLRjC/TyA/0o4+Yz+tW7jVwsLCcP78eYSGhsLS0hIFCxbUZbmIiIiIiIiIsjWtx3ADwIwZM1CyZElYWFigX79+ePjwIYB347vnzJmj0wISERERERERZUdaB9weHh5wcXGBjY0N9u/frzHrd/v27bF//36dFpCIiIiIiIgoO9K6S/myZcvg4OCAuXPnIiEhQWNZxYoVcffuXZ0VjoiIiIiIiCi70rqF+8GDB2jTpk2Ky7766iu8fv06o2UiIiIiIiIiyva0DrgLFCiA58+fp7jM398fRYsWzXChiIiIiIiIiLI7rQPuli1bYu7cuYiIiFDSVCoV4uPjsWLFilRbv4mIiIiIiIg+J1qP4XZxccGPP/6IatWqoUuXLlCpVFi2bBkuX76MgIAAbN++XR/lJCIiIiIiIspWtG7hrlixIs6ePYuqVavCw8MDIoINGzagcOHCOH36NMqUKaOPchIRERERERFlK1q1cEdHR2PDhg1o0qQJDh48iJiYGLx48QIFCxZEvnz59FVGIiIiIiIiomxHqxZuIyMjjBo1CsHBwQCAvHnzomTJkgy2iYiIiIiIiN6jdZfy8uXLIygoSB9lISIiIiIiIsoxtA64R48ejTlz5iA8PFwf5SEiIiIiIiLKEbSepfzGjRsIDQ1F2bJl0aJFC5QoUQIqlUpZrlKpsHjxYp0WkoiIiIiIiCi70TrgXrZsmfJ89+7dyZYz4CYiIiIiIiJKR8CdmJioj3IQERERERER5Shaj+EmIiIiIiIioo/TOuA+f/48tm/fnuKy7du348KFCxkuFBEREREREVF2p3XAPWnSJFy7di3FZTdv3sSUKVMyXCgiIiIiIiKi7E7rgPvq1ato0KBBisvq16+PK1euZLhQRERERERERNmd1gF3REQEcudOea61XLly4c2bNxkuFBEREREREVF2p3XAXa5cORw/fjzFZcePH4eJiUmGC0VERERERESU3WkdcFtZWWHRokX47bffNNLXr18Pd3d39OrVS2eFIyIiIiIiIsqutA64HR0d0ahRI9jY2MDY2BgVK1aEsbExbGxs0KhRIzg5OemjnERERERERETZSsqDsT/A0NAQ3t7e2Lx5Mw4cOIDQ0FD8+OOPsLCwQK9evWBgYKCPchIRERERERFlK1oH3ABgYGAAa2trWFtb67o8RERERERERDlCugJuAPjvv/9w8uRJhIaGwsbGBsWLF8ezZ89QsGBB5MuXT5dlJCIiIiIiIsp2tA64ExISMHjwYKxfvx4iApVKBQsLCxQvXhx2dnaoU6cOXF1d9VFWIiIiIiIiomxD60nTZs2ahc2bN2PevHm4fv06RERZZmFhgYMHD+q0gERERERERETZkdYt3OvXr8fUqVPh4OCAhIQEjWXlypXDw4cPdVY4IiIiIiIiouxK6xbup0+fomHDhikuMzIywps3bzJcKCIiIiIiIqLsTuuAu2jRonjw4EGKy27fvo1vv/02w4UiIiIiIiIiyu60DrgtLS0xa9YsPH36VElTqVQICwvDkiVL0KFDB50WkIiIiIiIiCg70jrgdnV1RXx8PKpVq4auXbtCpVJh0qRJqF69OqKjozF16lR9lJOIiIiIiIgoW9E64C5WrBj++ecf9OrVC76+vjAwMMCVK1dgYWGBs2fP4ptvvtG6EB4eHihXrhyMjIxgamqK06dPf3D9kydPwtTUFEZGRihfvjxWrlyZbJ3Xr19j+PDhKFGiBIyMjFC1alV4eXlpXTYiIiIiIiKi9NB6lnLgXdCdUpCbHtu2bcOYMWPg4eGBRo0awdPTExYWFrh58ybKlCmTbP2HDx/C0tISgwYNwsaNG3HmzBkMGzYMRYoUQdeuXQEAsbGxaN26NYoWLYqdO3fi22+/xePHj/HVV1/ppMxEREREREREH5OugFuXFi5cCBsbG9ja2gIA3N3dcejQIaxYsQJubm7J1l+5ciXKlCkDd3d3AEDVqlXx77//Yv78+UrAvW7dOrx8+RJnz55Fnjx5AAAmJiaZs0NERERERERESGPAPXDgwDRvUKVSYe3atWlaNzY2Fr6+vnB0dNRINzc3x9mzZ1N8z7lz52Bubq6R1qZNG6xduxZxcXHIkycP/vzzTzRs2BDDhw/Hvn37UKRIEfTu3RsTJ06EgYFBmveFiIiIiIiIKL3SFHAfO3YMKpVKef369WuEhYUhd+7cKFSoEF68eIH4+HgUKFAABQsWTHPmoaGhSEhIQLFixTTSixUrhqCgoBTfExQUlOL68fHxCA0NRYkSJfDgwQMcO3YMffr0gZeXF+7evYvhw4cjPj4e06ZNS3G7MTExiImJUV6Hh4eneT+IiIiIiIiI3pemSdP8/f3x8OFDPHz4ENu3b8eXX36JTZs2ISoqCoGBgYiKisLGjRthbGyMrVu3al2IpME8AIhIsrSPrZ80PTExEUWLFsWqVatgamoKKysrTJ48GStWrEh1m25ubihQoIDyKF26tNb7QURERERERKSm9SzlY8eOxbhx49CrVy+le7aBgQF69+6NsWPHwt7ePs3bKly4MAwMDJK1ZgcHBydrxVYrXrx4iuurW9sBoESJEqhUqZJG9/GqVasiKCgIsbGxKW7XyckJYWFhyuPx48dp3g8iIiIiIiKi92kdcPv6+qJ69eopLqtRowb8/PzSvC1DQ0OYmprC29tbI93b2xtmZmYpvqdhw4bJ1j98+DDq1aunTJDWqFEj3Lt3D4mJico6d+7cQYkSJWBoaJjidvPmzYv8+fNrPIiIiIiIiIjSS+uAO3/+/Dhy5EiKy44cOaJ1oOrg4IA1a9Zg3bp1uHXrFuzt7REQEIAhQ4YAeNfy3K9fP2X9IUOG4NGjR3BwcMCtW7ewbt06rF27FuPGjVPWGTp0KF68eIHRo0fjzp072L9/P2bPno3hw4dru7tERERERERE6aL1bcGsra0xb948xMfHo3fv3koX702bNsHd3R0ODg5aba9nz5548eIFXF1dERgYiOrVq8PLy0u5jVdgYCACAgKU9cuVKwcvLy/Y29tj+fLlKFmyJJYsWaLcEgwASpcujcOHD8Pe3h41a9ZEqVKlMHr0aEycOFHb3SUiIiIiIiJKF60D7tmzZyM4OBgLFizAwoULlXQRQd++fTF79mytCzFs2DAMGzYsxWXr169PltasWTNcunTpg9ts2LAhzp8/r3VZiIiIiIg+ZYGBgQgMDEx1eYkSJVCiRIlMLBERpUbrgDt37txYv349nJyccPz4cbx48QKFChXCTz/9hCpVquijjERERERE9P88PT3h4uKS6nJnZ2dMnz498wpERKnSOuBWq1y5MipXrqzLshARERER0UfY2dmhY8eOiIqKQuPGjQEAPj4+yJcvHwCwdZvoE5LugJuIiIiIiDKfust4RESEkla7dm0YGxtnYamIKCVaz1JORERERERERB/HgJuIiIiIiIhIDxhwExEREREREekBx3ATEREREX3i7tkvS5YWGRejPL8/cSW+yJM32TrfLRqh13IR0YexhZuIiIiIiIhID7QOuOPi4jBz5kxUq1YNxsbGMDAw0Hjkzs1GcyIiIiIiIiKto2MnJycsWrQIFhYW6Ny5M/LmTd51hYiIiIiIiOhzp3XAvX37dkybNg3Ozs76KA8RERERERFRjqB1l/JXr16hadOm+igLERERERERUY6hdQt306ZN4efnh+bNm+ujPERERERE9AHBEWEIiQhHdHysknYr5AmMchsCAIoY50dR4wJZVTwiSkLrgHvJkiXo1KkTTExM0L59exgaGuqjXERERERElIKtV89g6YUDGmlW292V5yPrW2BUQ8tMLhURpUTrgLt27dqIi4tD9+7doVKp8MUXX2gsV6lUCAsL01kBiYiIiIjof6xqNkLLCjVSXV7EOH8mloaIPkTrgLtr165QqVT6KAsREREREX1EUeMC7DJOlE1oHXCvX79eD8UgIiIiIiIiylm0nqWciIiIiIiIiD5O6xZutevXr+PWrVuIiopKtqxfv34ZKhQRERERERFRdqd1wB0ZGYmOHTvi2LFjUKlUEBEA0BjXzYCbiIiIiIiIPndadymfMWMG/P39cfLkSYgIdu/eDW9vb/z888+oWLEiLl26pI9yEhEREREREWUrWgfc+/btw8SJE2FmZgYAKFOmDFq2bIkdO3agbt26WLFihc4LSURERERERJTdaB1w+/v7o0qVKjAwMIBKpUJkZKSyrE+fPti7d68uy0dERERERESULWkdcH/99deIiIgAABQtWhR3795VlsXFxSnLiIiIiIiIiD5nWgfcNWrUwJ07dwAAzZs3x+zZs+Hj44OLFy/C1dUVtWrV0nkhiYiIiIiIiLIbrWcpt7GxUVq1Z82ahcaNG6NZs2YA3rV+e3l56baERERERERERNmQ1gF3jx49lOflypXDnTt3lFuEmZmZ4ZtvvtFpAYmIiIiIiIiyI60D7vcZGxujQ4cOuigLERERERERUY6h9RhuAIiJiYGnpyd69eqF1q1bK13M9+3bhwcPHui0gERERERERETZkdYt3KGhoWjevDlu3LiB4sWL4/nz53jz5g0AYO/evTh06BA8PDx0XlAiIiIiIiKi7ETrFu4JEybg9evX+PfffxEQEAARUZY1b94cJ0+e1GkBiYiIiIiIiLIjrVu4//77b/z666+oW7cuEhISNJZ9++23ePLkic4KR0RERERERJRdad3CHR4eDhMTkxSXxcXFIT4+PsOFIiIiIiIiIsrutA64y5Urh3PnzqW47OLFi6hcuXKGC0VERERERESU3WkdcPfp0we//vor9u3bp4zfVqlU+Oeff7B48WJYW1trXQgPDw+UK1cORkZGMDU1xenTpz+4/smTJ2FqagojIyOUL18eK1euTHXdrVu3QqVSoXPnzlqXi4iIiIiIiCi9tA64J06ciEaNGqFLly4oVqwYAKBNmzZo0KAB6tevj9GjR2u1vW3btmHMmDGYPHkyLl++jCZNmsDCwgIBAQEprv/w4UNYWlqiSZMmuHz5MiZNmoRRo0Zh165dydZ99OgRxo0bhyZNmmi7m0REREREREQZonXAnSdPHnh5eWHz5s2wtLREq1at0KpVK/zxxx/466+/kCuXdptcuHAhbGxsYGtri6pVq8Ld3R2lS5fGihUrUlx/5cqVKFOmDNzd3VG1alXY2tpi4MCBmD9/vsZ6CQkJ6NOnD1xcXFC+fHltd5OIiIiIiIgoQ7SepRx414XcysoKVlZWGco8NjYWvr6+cHR01Eg3NzfH2bNnU3zPuXPnYG5urpHWpk0brF27FnFxcciTJw8AwNXVFUWKFIGNjc1Hu6gTERERERER6Vq6Am5dCQ0NRUJCgtI1Xa1YsWIICgpK8T1BQUEprh8fH4/Q0FCUKFECZ86cwdq1a+Hn55fmssTExCAmJkZ5HR4envYdISIiIiIiInpPmgLuFi1apHmDKpUKR48e1aoQKpVK47WIJEv72Prq9Ddv3qBv375YvXo1ChcunOYyuLm5wcXFRYtSExEREREREaUuTQH3iRMnkD9/fpQuXVqnmRcuXBgGBgbJWrODg4OTtWKrFS9ePMX1c+fOjUKFCuHGjRvw9/dHhw4dlOWJiYkAgNy5c+P27duoUKFCsu06OTnBwcFBeR0eHq7z/SUiIiIiIqLPR5oC7vLly+PBgwcoUKAABg4ciJ49e8LY2DjDmRsaGsLU1BTe3t7o0qWLku7t7Y1OnTql+J6GDRvir7/+0kg7fPgw6tWrhzx58qBKlSq4du2axvIpU6bgzZs3WLx4capBdN68eZE3b94M7hERERERERHRO2maUvzevXs4fvw4ypcvj5EjR6JEiRKwtbVNdWIzbTg4OGDNmjVYt24dbt26BXt7ewQEBGDIkCEA3rU89+vXT1l/yJAhePToERwcHHDr1i2sW7cOa9euxbhx4wAARkZGqF69usbj66+/xldffYXq1avD0NAww2UmIiIiIiIi+pg038OrWbNm2LBhAwIDAzF37lxcu3YNjRs3RtWqVTFv3jw8f/48XQXo2bMn3N3d4erqitq1a+PUqVPw8vKCiYkJACAwMFDjntzlypWDl5cXTpw4gdq1a2PGjBlYsmQJunbtmq78iYiIiIiIiPRB61nK8+fPjyFDhmDIkCG4fv06Vq5ciUmTJuH8+fPYtWtXugoxbNgwDBs2LMVl69evT5bWrFkzXLp0Kc3bT2kbRERERERERPqU5hbu9926dQu///47du7cCRFB5cqVdVkuIiIiIiIiomxNqxbut2/fYsuWLVi3bh0uXLiAChUqYNSoUejfvz9KliyprzISERERERERZTtpCrhPnTqFtWvXYteuXRARdOvWDXPmzEGzZs30XT4iIiIiIiKibClNAfdPP/2E/Pnzo0+fPujVqxfy588PAKmOo65bt67uSkhERERERESUDaW5S3l4eDjWrFmDNWvWpLqOiEClUiEhIUEnhcsuAgMDERgYmOryEiVKoESJEplYIiIiIiIiIspqaQq4f/vtN32XI1vz9PSEi4tLqsudnZ0xffr0zCsQERERERERZbk0Bdy//PKLvsuRrdnZ2aFjx46IiopC48aNAQA+Pj7Ily8fALB1m4iIiIiI6DOk9X24KTl1l/GIiAglrXbt2jA2Ns7CUhEREREREVFWSvd9uImIiIiIiIgodQy4iYiIiIiIiPSAATcRERERERGRHnAMdzrds1+WLC0yLkZ5fn/iSnyRJ2+ydb5bNEKv5SIiIiIiIqJPA1u4iYiIiIiIiPSAATcRERERERGRHjDgJiIiIiIiItIDBtxEREREREREesBJ03QgOCIMIRHhiI6PVdJuhTyBUW5DAEAR4/woalwgq4pHREREREREWYABtw5svXoGSy8c0Eiz2u6uPB9Z3wKjGlpmcqmIiIiIiIgoKzHg1gGrmo3QskKNVJcXMc6fiaUhIqLUBAYGIjAwMNXlJUqUQIkSJTKxRERERDkL/2s1MeDWgaLGBdhlnIgoG/D09ISLi0uqy52dnTF9+vTMKxAREVEOw/9aTQy4iYjos2FnZ4eOHTsiKioKjRs3BgD4+PggX758APBZ1bgTERHpA/9rNTHgJiKiz4a6G1tERISSVrt2bRgbG2dhqYiIiHIO/tdqYsBNREQ52j37ZcnSIuNilOf3J67EF3nyJlvnu0Uj9FouIiIiyvl4H24iIiIiIiIiPWDATURERERERKQH7FJORESfjeCIMIREhCM6PlZJuxXyBEa5DQG8u40j7zpBREREusKAm4iIPhtbr57B0gsHNNKstrsrz0fWt8CohpaZXCoiIiLKqRhwExHRZ8OqZiO0rFAj1eVFjPNnYmnoUxcYGIjAwMBUl6tn4s2u+RER6QonKE0dA24iIvpsFDUuwC7jlGaenp5wcXFJdbmzszOmT5+ebfMjIiL9Y8BNRERElAI7Ozt07NgRUVFRaNy4MQDAx8cH+fLlAwCdtzZndn5ERKR/DLiJiIiIUqDuwh0REaGk1a5dG8bGxjkiPyIi0j8G3PRRHFNGRERERESkPQbc9FEcU0ZERERERKQ9Btz0URxTRkT6wh409LnjzL5ElNMER4QhJCIc0fGxStqtkCcwym0I4N0dQT6nCUw/iYDbw8MD8+bNQ2BgIL7//nu4u7ujSZMmqa5/8uRJODg44MaNGyhZsiQmTJiAIUOGKMtXr16NDRs24Pr16wAAU1NTzJ49Gz/++KPe9yUn4pgyItIX9qChTw0DYCKijNl69QyWXjigkWa13V15PrK+BUY1tMzkUmWdLA+4t23bhjFjxsDDwwONGjWCp6cnLCwscPPmTZQpUybZ+g8fPoSlpSUGDRqEjRs34syZMxg2bBiKFCmCrl27AgBOnDiBXr16wczMDEZGRpg7dy7Mzc1x48YNlCpVKrN3MVviBQcRZQb2oCEiIspZrGo2QssKNVJdXsQ4fyaWJutlecC9cOFC2NjYwNbWFgDg7u6OQ4cOYcWKFXBzc0u2/sqVK1GmTBm4u7sDAKpWrYp///0X8+fPVwLuTZs2abxn9erV2LlzJ44ePYp+/frpd4eIiOiD3q/Qyw8gd5IKva+2nFcq9CIA3Pv/dFboUU7HbphElBMUNS7Ac1USWRpwx8bGwtfXF46Ojhrp5ubmOHv2bIrvOXfuHMzNzTXS2rRpg7Vr1yIuLg558uRJ9p7IyEjExcXhm2++SbUsMTExiIn53wVfeHi4NrtCRERElCHshklElPNkacAdGhqKhIQEFCtWTCO9WLFiCAoKSvE9QUFBKa4fHx+P0NDQFLsfOjo6olSpUmjVqlWqZXFzc/vgOMLPGWvciUhfeH4h+h92wyQiynmyvEs5AKhUKo3XIpIs7WPrp5QOAHPnzsWWLVtw4sQJGBkZpbpNJycnODg4KK/Dw8NRunTpNJU/p2ONOxHpC88vRP/DbphERDlPlgbchQsXhoGBQbLW7ODg4GSt2GrFixdPcf3cuXOjUKFCGunz58/H7NmzceTIEdSsWfODZcmbNy/y5k0+CRixxp2I9IfnF/qUsQcGERFlVJYG3IaGhjA1NYW3tze6dOmipHt7e6NTp04pvqdhw4b466+/NNIOHz6MevXqaYzfnjdvHmbOnIlDhw6hXr16+tmBzwRr3IlIX3h+oU8Ze2AQEVFGZXmXcgcHB1hbW6NevXpo2LAhVq1ahYCAAOW+2k5OTnj69Ck2bNgAABgyZAiWLVsGBwcHDBo0COfOncPatWuxZcsWZZtz587F1KlTsXnzZpQtW1ZpEf/yyy/x5ZdfZv5OEhERUbbDHhhERJRRWR5w9+zZEy9evICrqysCAwNRvXp1eHl5wcTEBAAQGBiIgIAAZf1y5crBy8sL9vb2WL58OUqWLIklS5YotwQDAA8PD8TGxqJbt24aeTk7O2P69OmZsl9ERESUvbEHBhERZVSWB9wAMGzYMAwbNizFZevXr0+W1qxZM1y6dCnV7fn7++uoZERERERERETpkyurC0BERERERESUEzHgJiIiIiIiItIDBtxEREREREREevBJjOEmIiIiItKVwMBABAYGprq8RIkSKFGiRCaWiIg+Vwy4iYiIiChH8fT0hIuLS6rLeecaIsosDLiJiIiIKEexs7NDx44dERUVhcaNGwMAfHx8kC9fPgBg6zYRZRoG3ERERESUo6i7jEdERChptWvXhrGxcRaWiog+Rwy4iYiIiCjbu2e/LFlaZFyM8vz+xJX4Ik/eZOt8t2iEXstFRJ83zlJOREREREREpAds4SYiIiKiHCU4IgwhEeGIjo9V0m6FPIFRbkMAQBHj/ChqXCCrikdEnxEG3ERERESUo2y9egZLLxzQSLPa7q48H1nfAqMaWmZyqYjoc8SAm4iIiIhyFKuajdCyQo1Ulxcxzp+JpSGizxkDbiIiIiLKUYoaF8jULuOBgYEIDAxMdbl61nQi+vww4CaibI0XOURElNU8PT3h4uKS6nJnZ2dMnz498wpERJ8MBtxElK3xIoeIiLKanZ0dOnbsiKioKDRu3BgA4OPjg3z58gEAK36JPmMMuIkoW+NFDhERZTV1b6qIiAglrXbt2jA2Ns7CUhHRp4ABN3322CU5e+NFDhERERF9qhhw02ePXZKzn3v2y5KlRcbFKM/vT1yJL/LkTbbOd4tG6LVcRERERERJMeCmT05mtzizS3L2FhwRhpCIcETHxyppt0KewCi3IYB3t37JzJlqiYiIiCjzfOq9VRlw0ycns1uc2SU5e9t69QyWXjigkWa13V15PrK+BUY1tMzkUhERUVKf+gVxerC3FdGn4VPvrcqAmz45bHEmbVjVbISWFWqkuryIcX6d5pcTLxqJiPTtU78gJqLs61OPHRhw0yeHLc6kjaLGBTK1y3hmXzQywCeinOBTvyAmouzrU48dGHDTJyGzu2VlZTcwBlDZW2ZfNLJViOh/eP7Mvj71C2Iiyl6y05AOBtz0ycnpk2AxgMreMvuiMbMDfAY0pI3MPl54/tQd/taJiDIHA2765OT0SbDYrS77yeoeGPkB5E6S31dbziv5RQC4l8H8kmJAQ9rI7OOF50/dyYzvLju1QBER6QsD7mwop9dKZ/YkWJmN3eqyt5zeA4MBTfaW02+ryPOn7vC3rls5/b+B6FP2qf/+GHBnQzm9BSqzJ8HKjB8pa/lzjszugZEVx2dmtqjndDmxyzWPl5yBlRe6ldN751H2ltMb6z713x8D7myItdK69an/SOnTktk9MHJigP85yeldrllhmf28/3lm1meZ088tOb13HmVvOb2x7lP//THgzoZYK61bn/qPlD4tmd0DI6cH+DlR0oDGPCIP6vSegOj4WOVz3NpjzP+CjGd5lPWz45h/Hi+UVjn9WMns/waij0n631A3JBoL2vZDbEI8nLw3AwDcWveGocG7UPC7e9EZ/i/KSp/6748BdzbBGn79yYld2CnnyOkBPulWZp9fMvt44flTd3L6sUJE/3Pk3tVkFV7qwBt4V+FVrci3mV2szwYDbqJMltNr+Sl7+9RribObzP69Z3Z+mX288PypOzn9WCGi/2GFV9ZiwE2UyXjSI/p8ZPbvPaefX3L6/mUmfpZEnw9WeGUtBtzZELvUZW+ZfdLL7Jkpc/pMmETayOzfe06/qMrp+5eZ+FkSEWUOBtzZELvUkTYy+zZBbqd2Y92l46muO7Buczg1/RkA5xggIiIiopztkwi4PTw8MG/ePAQGBuL777+Hu7s7mjRpkur6J0+ehIODA27cuIGSJUtiwoQJGDJkiMY6u3btwtSpU3H//n1UqFABs2bNQpcuXfS9K5mC3cBIG5l+GznJ4HIiIiIiohwiywPubdu2YcyYMfDw8ECjRo3g6ekJCwsL3Lx5E2XKlEm2/sOHD2FpaYlBgwZh48aNOHPmDIYNG4YiRYqga9euAIBz586hZ8+emDFjBrp06YI9e/agR48e8PHxQf369TN7F3WO3cDoY7LyNkE29VqiY9UfUl3OCiEiIiIi+lxkecC9cOFC2NjYwNbWFgDg7u6OQ4cOYcWKFXBzc0u2/sqVK1GmTBm4u7sDAKpWrYp///0X8+fPVwJud3d3tG7dGk5OTgAAJycnnDx5Eu7u7tiyZUvm7BjRJyKzx/yzQoiIiIiI6J0sDbhjY2Ph6+sLR0dHjXRzc3OcPXs2xfecO3cO5ubmGmlt2rTB2rVrERcXhzx58uDcuXOwt7dPto46SE9JTEwMYmL+1wIYFhYGAAgPD09x/TcxUalu60NS297HMD/ml978Nlw6AU/fIxrLk475tzNtBbsfzXWWnzaYH/NjfsyP+X36+eXkfWN+zI/5Mb+k6SJ6GPsoWejp06cCQM6cOaORPmvWLKlUqVKK76lYsaLMmjVLI+3MmTMCQJ49eyYiInny5JFNmzZprLNp0yYxNDRMtSzOzs6Cd6NL+eCDDz744IMPPvjggw8++PjMHo8fP05PWPtBWd6lHABUKpXGaxFJlvax9d9P13abTk5OcHBwUF4nJibi5cuXKFSo0Aff977w8HCULl0ajx8/Rv78+h+ryvyYH/NjfsyP+TE/5pdd8mJ+zI/5Mb9PMT8RwZs3b1CyZEmdlylLA+7ChQvDwMAAQUFBGunBwcEoVqxYiu8pXrx4iuvnzp0bhQoV+uA6qW0TAPLmzYu8efNqpH399ddp3ZVk8ufPnykHFfNjfsyP+TE/5sf8mF92y4v5MT/mx/w+tfwKFCigl7Lk0stW08jQ0BCmpqbw9vbWSPf29oaZmVmK72nYsGGy9Q8fPox69eohT548H1wntW0SERERERER6VqWdyl3cHCAtbU16tWrh4YNG2LVqlUICAhQ7qvt5OSEp0+fYsOGDQCAIUOGYNmyZXBwcMCgQYNw7tw5rF27VmP28dGjR6Np06b49ddf0alTJ+zbtw9HjhyBj49PluwjERERERERfX6yPODu2bMnXrx4AVdXVwQGBqJ69erw8vKCiYkJACAwMBABAQHK+uXKlYOXlxfs7e2xfPlylCxZEkuWLFFuCQYAZmZm2Lp1K6ZMmYKpU6eiQoUK2LZtW6bcgztv3rxwdnZO1j2d+TE/5sf8mB/zY37M71PMLyfvG/NjfsyP+WU1lYg+5j4nIiIiIiIi+rxl6RhuIiIiIiIiopyKATcRERERERGRHjDgJiIiIiIiItIDBtxEKTh8+DCuXbuW1cUgIiIiIqJsjAE3pUtOD0h79OiBY8eOZXUx9GLy5Mnw8PDI6mIAAHLynI05ed+IiIiIKG0YcGciEdHrRfirV68QHx+vt+0nlZUBqfozPHXqFP7880+db3/mzJkoXbo0Ro8erfNtp4U+9y8yMhLz589HjRo1NPLKTEnzVKlUmZ5/ZsnJ+5bTHTp0CC9fvszqYuhNTt8/tYSEBFy+fBlAzqwAi46OzuoiEGUbOfEcQNkHA249e/r0Kf79919cvXoVKpUKKpUKiYmJOs8nMTERXbt2xbNnz3S+7ffNnDkTJUuW1AhIM/NEFhoaipMnT+LAgQP4999/4eDgoLPW9sjISLi6umL16tUA3l2wZTZ97t+AAQNgYWGBJk2aIDExMUuCQnWes2bNwoULF/Sen/o7jIuLQ3R0NOLi4vSa3+PHj7Fr1y695pHVMjNgy+zv7/Xr11ixYgX+++8/jfz17fXr13j8+HGm5JMV+6eWmf8V27Ztw6ZNmwBAL/+7WSkoKAienp5Zln9WBS8MmnTn/d9EZn22mZlv0rz0eb3z/j7ktPMNZRwDbj1auHAhGjRogDZt2uCHH35A+/bt8fTpU+TKpfuPfejQoXj+/DnKlCmj820n9X5AunHjRoSGhmZq4BYSEoLly5cjIiICrq6u6Ny5M06dOqWTC8cBAwbA0tISDRo0yLKAVF/7d+XKFezatQtr164FAOTKlQtRUVG6KLJWtm/fjgULFiBv3rzYt28f5s6di9evX+stPwMDAwBAnz594ODggMWLF8Pf319v+R0/fhy7d+8GAMTGxuotn6yS2QFbZn9/X3/9Nbp3744bN25o5K8P6ouyrVu3okWLFnB3d8eOHTsQERGhtzwzc/9SqizJzHNq48aNER4ejqioKBgYGCgXxbq+wE/6G8isC+179+7h0KFDCA0NRUJCgt727WP++OMP3Lp1K9PyU+/fnj178ODBA73mpf5eL126hPDwcL3mpT5u3rx5g0OHDuk1L7VcuXLh1atXGDt2bKZe7+TKlQsRERFwc3MDoN9AWH297ezsjB07dugtH7WDBw9q5EvZmy7Ppzwi9GTSpEnYtGkTBg0ahI0bN8LV1RX37t1Do0aN8PfffwPQ3R/zgwcPsGbNGmzfvh2Afv9w1QFpo0aNEBYWBkdHR/z+++96yy8l1apVw5o1a1ClShVcuXIFTZs2Rc+ePTUuqNIjpYA0V65cmV5Tqa/9++WXX+Dg4IBChQrh8uXLGDduHPr374/ffvstUy/ScufOjaNHj6Jp06aYPXs2ChUqhICAAL3kpb5gOnHiBJ4+fYpOnTohMjISf//9txIM63rfu3fvjrJly+Lly5cwNDTU6bY/BVkRsGXW93fhwgVs3rwZBw8exO+//44dO3bg6dOnOHToEGJjY3Wal4goF2W7du3C+PHj0aRJE/zzzz84deqUzvJJKjP3D/jfsdG7d+9klSX6Puf4+fnh0qVLCAsLw+rVqxEaGoq4uDi9VBCr93P06NGYP38+9u7di5iYGJ3m8b7GjRujUaNGePDgAQwMDJR9yoygKSEhASqVChcuXMC8efP0np9aYmIicuXKhWvXrsHZ2Rnh4eF6O44SExNhYGCA0NBQDBkyBJcuXdLrtYD6exszZgwOHz6s9wAf+N856OrVqxgwYAB8fX31nqc637dv32L37t0YNGgQbt68qfc8q1atCg8PD8yfP19vFfxRUVFwcnJC9+7dM7USSk2fFbXve/LkCW7fvp3pPaTU14o+Pj4A9PM/ou5FFxMTo9PzqUrYP0fn7t+/j2rVquHvv/9G69atAbwba3XhwgXMmDEDKpUKhw4d0lkNWIcOHRAaGopz587pZHupuXLlCkxNTRESEoKCBQsiMjISkyZNwrZt23DmzBmUL19er/nHxMRgxowZCAoKwpgxY5A7d26sXr0aXbt2hZmZWYa3X7t2bZibm2Pu3Lk4e/YsDhw4gMGDB6N06dIa6yUkJOglyNDn/m3evBkjR47EixcvAAA1a9aEgYEBIiMjkS9fPvz555967x0RExOD2bNnQ0RQuXJl5MmTB507d4aBgYFegzYAmDNnDqpUqYLOnTvDz88PixcvRnBwMBYtWoRKlSrpLB9XV1e8ffsW3t7eqFKlCrp3746iRYvi9evXaN++vc7y+RAR0dtF94ULF3D//n0cOHAADx8+xOjRo2FmZobr16+jefPmyJMnj0beuipLZn1/v/76K968eYOvvvoKv/76KypXroxcuXKhRo0aWLBgAYyNjXWWl9rff/+NY8eOYeHChQDetdwtWrQI3333HdasWQNAd60lmbl/6vPkiRMnMHnyZEybNg0XLlzAN998g8GDB8PQ0FBvx+q9e/dgbW2N5s2b4+jRo7h16xaqVKmC0qVLo379+pgwYYLO8lLvw8qVK+Hp6YlBgwYhMDAQLVq0QPPmzTXW0RVbW1sYGRnh5MmTyJMnD7p27Yry5cvjyZMnGDduXKa1VHbu3BndunVD3759Aby74M+VKxfy5MmD3Llz6y3fHj16oGXLlrCzswPwridRrly5NCoeMkr9nQ0bNgwFCxbErFmzdLLdD+V1+fJlDB48GP/884+yLDExEQkJCciTJ4/e8n/z5g08PT0RGhqKHj16oG7dukqLtz6PpVevXsHDwwORkZHo2bMnatasqVSq6MO5c+ewfft2VKtWDd27d8fXX3+t8+u5uLg4LFiwAMHBwejZsyd+/PFHAPqrCFMfO3fu3MFff/2F0aNH6+23p/5uduzYgUmTJqFdu3aoVasWOnfujIIFC+r12gN4N9zSy8sL//33H/bu3auXipqXL1/i9OnTKFq0KJycnLBnzx4ULFhQNxsX0rkmTZqIjY2NiIgkJCRIYmKisuz69evy1VdfybJly3SS14EDB0SlUknp0qVl3bp1Snp8fLxOtp9UrVq1ZNKkSSIiEhcXJyIisbGx0qBBA5k+fbrO80vJsWPHxMrKSry9vUVE5PLly3L79u0Mb3fTpk1SuHBh5XWVKlXkiy++EENDQ2nTpo2sX79ezpw5k+F8PkZf+/fNN9/Ihg0bRERk+vTpUrZsWYmMjJTg4GCpWLGiHDp0SO7fv68cq4mJiRrHra4cPXpUrKysZNeuXbJmzRpxdHSUqKgonecjInLu3DlJTEyU//77T2rUqCFNmzZVjlsRkcmTJ2v8ZjIiISFBQkNDxcHBQby8vGT48OHy9ddfy88//yy2trayb98+neTzPvXvPDY2VqKioiQ2NlYv+ajNmTNHJk+eLHPmzJGCBQtKgwYNxMzMTOzs7OTt27fKerr4TjPz+0vJn3/+KevWrZPY2Fh58+aNiLz7nnXBz89Pbt68KSIiCxculBIlSmicQ0NDQ8XJyUkneaVGn/uXlJubm+zZs0dE3p3P+vfvL5aWlhrntffPNbo496iPwdDQUBk4cKAEBwfLrVu3JCYmJlkeGc0vOjpaZs6cKf/995+IiKxbt046dOggy5cvz9B236f+flavXi1+fn6ydu1aKVWqlEyYMEEmTJggBw8e1Gl+H/Lw4UPp3Lmz8trb21vq168v3bp1kyNHjug133bt2imvz5w5I61bt5ZffvlFTp06pdO8Hj9+LM2aNVPObQ8ePBAHBweZMWOGXLlyRad5iYhMmzZNfv31VxERefTokfz222/SrFkzWbp0qV6u6QICAuT169cSFRUlUVFR4uLiIjY2Njq55viQly9fSmRkpMTHx8vr169l0qRJMmLECHny5InO8lB/Xnfu3JEXL17I06dPRUTk0qVL0qtXL5k3b55O8lH/JyX9fl6/fi0zZsyQMWPGyIMHD5R0fZxf1aZOnar8H+rj2i2pAQMGyO7du+XYsWMybtw4+eOPP/San1pMTIzs3r1bihQpInPmzFHSdfm5hoeHy6ZNm6RWrVpib28vIu+ur3TxmTLg1jEfHx9RqVRy+vRpEdH8Eap/mLa2ttKlSxedHCTffvutuLm5ybhx40SlUsnEiRMzvM2UvB+QJiYmKvu2ZMkSyZs3rxw9elRE9HtSEXl3sbpjxw6ZM2eObN68WSfb/Oabb2TLli3Ka3d3dxk3bpxcv35dunbtKhUrVpRWrVpJ+/btZfv27RIbG6tcuOmarvfPyclJatasKSIib9++FUNDQ40Ls+HDh4upqal89dVXUqFCBfn7778znGdKEhMTJSwsTC5duiT79++X5cuXy4QJE/SS171792Tjxo3K69evX0ufPn2kdevWKV4M6uMPasiQIfLq1SuJjIzU+bbf161bNxk6dKjMmzdPHj58KCIf36eM7nNKAZuIyLNnz2TYsGHSrVs3OXbsWLq2ndnf38uXL8XV1VW2b9+uXCDdvn1bmjRpohHk68q2bdskJCREeX3hwgVp3ry52Nvby/379zXW1cWFdmbvX1oqS3777Tfl9du3b+XZs2dy9uzZDP9/+Pj4yLFjx+TGjRtKBVSPHj1k+/btIqLb33pQUJCIiOzcuVNMTExk9uzZyrKLFy9KzZo15cSJEym+Nz37mdJ7HBwcxMfHR+//uynp27evrFmzRpYvXy7NmzeX0aNHy5QpU6RSpUpKgKMPAwcOlL1798qmTZukVatW0q9fPxk9erRUr15d+U50ZcSIEXL//n35559/pEuXLlK/fn3p1KmTtG7dWsLDw3Wa1/Hjx2XgwIESFxcn3bt3l65du8qAAQOkbt26snTpUp3mtW/fPlGpVGJjYyO//PKLLFq0SO7fvy/W1tZiYmIiq1at0ml+agcPHhSVSiXDhg0TOzs7+eOPP+Thw4fSo0cPqVKlivI71ZVKlSpJuXLlZNSoUdKtWzc5fvy47N69WypUqCAWFhbi5+enk3wqVqwoo0aNkpkzZ8r+/fvlzZs3Mnz4cKlRo4ZS4agvFy9eFEtLS9m1a5eIvPvP0FfQvW/fPhk0aJBy7Pv4+EibNm2kRYsWEh4ervfz0OPHj2Xw4MHSrFkzmTRpkrKfuqisUW/Lz89PKleuLD179pSAgABleUYbNBhw69hff/0lX331lbRt21bji0p6EDo7O0vbtm1FJGN//tOnT5ciRYoor5ctWybFixeXbt26KTXtupI0IFWXOek+derUSfr376/TPNXU+WzevFn++ecfEXl3gtm5c6c8e/ZMo0zpYW9vLz/++KNG2v3796Vp06Zy7tw5ERHx9/eXadOmiUqlEkNDQyldurT06tVLbty4ke581fS5f8HBwaJSqeTq1asiIjJhwgQpXLiwcnKKj4+X/Pnzy4ABA2TDhg3Sq1cvKVSokFy8eDGju6VI6QR8/vx52blzp4SGhqa6TkaoW7dWrVola9asUdLXr18vEyZMUHoQ6Iqbm5tMnz5d9u7dKxERESLy7vfp6emp03ySUgdix48fl4YNG8rBgwfFxcVFlixZotGKl/TYOX36tHJMq5enhTYBW+/evWXEiBHyxx9/SPfu3WXdunUard9p8bHv7+jRoxIfH6/kfefOHbl7965WeST1yy+/yNChQ6VTp07Sq1cvef78uYiItG3bVi5duqSxri6O1ZiYGHny5Il06dJFaU0KDg6W2bNny+zZs3Xa0iOi3f5llLaVJUnL16dPH43eINqe98LCwqRWrVpiZ2cnXbt2VXolnT59WqytrTW2uWfPHtm7d6/s2LEjXRdSPj4+GsHBH3/8Id99951MnjxZXr58meJ7bt26Jd7e3vLixQut8xN5d04ZOHCgLFmyRAksDx06JGPGjBGRlI9NXZ5b1Z/dqVOnJDQ0VHx8fKRs2bJSunRp2bNnj/J7HD58uMZ5Rtd27twphQoVkqJFi8qGDRskOjpaRESGDh2q/IdmlHpfZ8+eLYaGhlKwYEGZOnWq8p/Vp08fnfz/q926dUsiIyOlRYsWki9fPmnevLnSin7hwgUZP368Tr/L27dvS4cOHaRv375y6dIlcXBwkCFDhsjChQvl22+/FUNDQ7l+/brO8lO7cOGC0iPh9OnT8ssvv8iwYcNkwYIFUqxYMcmXL59yvZJR0dHRsmzZMmnWrJn89ttvcvLkSbG2tpZff/1VBg0aJCqVSoYMGZLhfPz9/aVp06bSrFkz2bBhg/K5rlmzRmrUqCEqlUrWr1+vgz1K2d27d6Vjx45SsWJFvXxnSf3xxx9StmzZZNf77u7uestTfdzHx8dLaGiovHz5Ut68eSN9+vSRvn37ytKlS6V169Y6+338/fffEhAQIIsXL5YKFSrI0qVLJTo6WmbMmJGhBhQG3HqgrtUvWrSoHDhwQGNZbGyszJs3T/r375/hli9XV1c5dOiQ8vrNmzeyYsUKqV27tvTt21e5kMtoC4m9vb2Ympoq20p6MaG+UDl+/LgUKlRItm3bJiK6+5NX/+k9f/5c6tSpk6z1J6NiYmKkaNGi4uvrKyKan9WaNWvEwsJC2d+OHTtKhw4d5ObNm+Ls7CyVKlVS/ujTS9/7t27dOunRo4eIvNs3T09P+fLLL6VTp04iIjJp0iRp1KiRRverwoULy44dO3SSv3r/QkJCZMKECRpdjdV56romNumxd+zYMfnhhx/EyspKnj9/LvHx8TJ79mxZs2aNhIeHy4oVKzL8Ozx9+rQ0aNBAPD09pUKFCkrXYD8/P71VQiX1sS676s9j/Pjx0qJFC2nUqJGMGzdOgoOD05xHWgO2hIQE+f333yUsLExERI4cOSJTpkyRPXv2pPk89LHvb86cOeLh4aHxHnNzc40eKtq4du2aNGvWTEREGjVqJBYWFlKxYkXZvn27Rsu9PixbtkwqV66sdI+7e/eujBgxQqP1+/Lly0qvhfTI7P1La2VJ0uCtVatW8vLlS6lcuXKGuuqOHj1ali5dKpcuXZJChQpJ2bJlxc3NTWJiYjQuRC9evCi1atWSpUuXStu2bTUqONJ6PlK/Z+PGjcr39fjxY5kwYYLMmTNHOZerK79+++03qVq1qtjZ2UmXLl2UXkZpze/SpUtSr149OXHihJQsWVLatWsnjx8/lsjISGUIm1pGA/sPiY2NlWnTpml0yb13757y/O3bt1KrVi2dV/qn5Nq1axrlqlOnjs66equ/l6ioKHny5Emynl+NGjVKtfeCto4cOSKDBg3S6Pb8+vVrZfmyZcuke/fuGc5HvU9nz56VV69eKd3zzc3N5enTp/L27VsJCgqS48ePi5ubW4bzS42vr680b95crKysJCwsTEJCQuTBgweyZ8+eDPfSVP9/JP0fWb16tZQpU0YWLFggiYmJ8vLlS3nx4oWsWLFCOU7Te836+vVr8fPzk5CQEOnevbv06tVLoqOj5d69e3L8+HHZtGmTNG7cWKkQ1tX1jrq8Sa+pVq9eLd26dVN6YerK+2V+9eqV9OvXT2xtbZVr5/fLpUvq/EePHi0tW7YUe3t7uXjxokRHR8vKlSulTZs2yn9NevNXX5/s3btX2rZtq+R5+/ZtGTVqlFSrVk2srKwytB8MuHUoaTdrdReZatWqiYeHh9LqJSLSrl07cXZ2Vt6TXkm3mdSmTZukUKFC0rBhQ3n06FG6ty/yv4D033//FRGRmTNnys8//ywLFixIVotva2sr9erV02kXWvXnY21tLQsXLhSRdxcTS5culRYtWsjGjRszfAJLWnv2vq5du8qRI0fk0qVLkjdvXo0/eLWMdMnMjP1736VLl6RSpUpSrFgxMTAw0GgRiI2NFSsrK511J1OX3c7OTqZMmaKkpXbs6tLBgwfl+PHjkpCQIO7u7jJo0CDlzyEhIUFu3bolDg4O8vfffyvlTE/l1IABA+TMmTOyY8cOsbS0lBYtWkizZs2UP9ikF066om2X3ejoaOnRo4dyoeHs7Cxubm5pCuS0CdisrKykadOmSmtMbGysbN68WTp16qR198uUvj91cJ/0+FmzZo106dJFRN61cHp7eysBQFp+O5cvX5aLFy/K5s2b5ZdffhERkX79+knTpk0lNDRU2camTZsyPO5PfXydPXtWli5dKmfPnpXAwEAZP368uLm5SXh4uMaFUmxsrLRq1SpD3XP//fdf8fX1lW3btqW4f2q6GHeflsqSFStWaLzn7Nmzsnv3btm4caP069dPRN61Hqu7R6ZVRESELF26VN6+fSvt2rWT69evi7e3t5QqVUrmz5+vsW737t3lwoULsnr1aqVCMmklR1rFxMSIjY2N1KhRQ6mkvHPnjtja2ipDrNQ6d+4sp0+flsjISNm1a5fWgcWkSZPkwIED4uXlJT179pQJEyaIiYmJ7N69W+M4z2hgnxZXrlyRMWPGKNcxam/evBE7OzsZOXKkiOj24lv923nx4kWyluXY2FhxcHCQQYMGiUjG91Wd1/nz56Vly5bJ/uMXL14sP//8c4bySOrGjRsyYsQI6du3r0blRVxcnAQFBUnVqlWVOR8y+pnGxsbK1KlTZd68ecq5xtnZWZo1ayabN29ONlROHz0k1EaOHCnNmjVLcY6TjDYULViwQKPS4PHjx/Lzzz/LwIEDdTr+/u+//5ZSpUopvdkmTpwodevWlb179yZbV1efpXo7oaGh0qpVK3FycpKpU6fKq1ev5K+//pIxY8bIyZMndZKX+nu4dOmS9O/fXyZOnCh79+6V4OBgWbp0qUyZMkXnDUVJqfc1ODhYWrZsKWfPnpW1a9fKuHHj5PLlyzrPr06dOnL+/HkReXeddf78efnvv//k3LlzSk+99H6PDLj16Nq1a9KrVy+pWLGi8mP8+++/JX/+/EpQqss/waQHgb+/vzRo0EAMDAwyXNOs3m5cXJy4ublJly5d5IcffpCvv/5aBg8eLKdPn5bQ0FB59eqV/PTTTxqtGroQGhoq+fLlUy6qe/fuLW5ubrJ69WoxNzeXIUOGpPtzTC1YTtrNu1q1avL1118rFxEfel966Gv/1N2Jk06Ept6vq1evSufOnaVy5cqyefNm5WL7yZMnUrp0aWUOgowcn+r3nj59WqpXr66kz5s3Tzp37pyhMb4fy9PT01Nq164tP//8s3Tv3l0OHDggf/zxh4wfP15CQkLkv//+k1WrVsnu3bulV69eyYKAtIqOjpZTp07Js2fPpHHjxhIfHy8PHjxQurA9f/5cbGxslABZF7/39HTZPXfunEydOlXp5unn5yeTJ08WZ2fnj/bS+FhAqrZz505p0aKFrF27VmxsbGTnzp3KMnVrelrHlaf2/U2YMEFjqI7Iu9aflStXytmzZ8XW1lZq1qwpixcv/mA+alFRUcr+//HHH0oQpB6HpxYdHS01atRQuii/efMm3S0ICQkJYmJiIhMnTpTWrVvLlClT5MCBAzJt2jTl3Kn+HPbt2yfjxo0TEcnQnBGRkZGyZs0amTx5cor7FxMTIwsXLtTZmNQPVXYlraS5fPmy+Pj4SN26daVEiRJKq7Gtra0sWrRI63zDwsLkzp07YmVlJW/evJFXr16Jk5OTMjRHffG4du1a2bdvnzRs2FC5WHRyckr3xJj79++Xdu3ayfz58yUqKkqp6Fb3cNu4caM0btxYCaYCAwOlTZs2Gr+RD0lISJDLly9LaGiodOjQQakos7KyktWrV2us27lzZ/Hx8Ul3YP8h9+7dU+YVefr0qVhZWYmpqalSuXDs2DHp0qWLcmGqj3GkrVu3ljZt2kiXLl3k1q1bIvLuc27btq3Soq+rwKZp06bKhFBPnjyR27dvy549e+SHH35QekzoKq/o6GhxcnKSb775RhmvHRYWJsOHD1e+Q13llVKFyb59+2TUqFGyefNmrYcApUVqFSZbt26VUaNGyY4dO3RaEe/r6yuNGjWSrl27Kr29QkJC5NdffxUnJyeddVsXeTeZXtu2bWXKlCkSEhIi+/fvl6FDh8qGDRvk1atXOsvnfba2trJw4UJZtGiRdOjQQUTeXZuuW7dOZ2PT1SwtLWX9+vUyYMAAZULPx48fi6Ojo87nTUjJ0qVLld6D0dHRsmLFCqlbt65yDOvitxEQECADBgyQhw8fioeHh9SqVUv69u2rs946DLj1LCoqSgYPHiy5cuWSKVOmyHfffSczZ84UEd0GbUmpT2y+vr7KBVZ6pVTGsLAwOX/+vKxYsULq1KmjjFkfO3asmJmZScWKFTVmZtSF+Ph4GTVqlKhUKqlSpYqSHhUVJT179tS48Ne1oUOHSqVKlfQ6A3RW7N8///wjlpaWUqlSJaV1ZsCAAdK8eXOd5rN06VJRqVRKgNu6dWu5c+eOLF26VMqUKSM+Pj46ySfpxZ2zs7NS+7l27VqZNm2a7Nq1S+bPny9xcXFy48YNiYqKkhcvXsiFCxekffv20rZtW6UVIa2CgoKUE72tra34+fnJlStXxMHBQRljvGDBApkyZYpGa3JG/hzS2mVXfR44ceKEFC5cWJo3by7Ozs7Kb/r27dsf7cmQ1oA0Li5Oxo8fL4cPHxaRdwFI/fr1pUuXLhIYGJim/dLm+1N79eqVBAcHS/369eX777+X06dPy4MHD6Rbt24fHdOdmJgoffv2lbZt28qyZcvk1q1bYm9vL66urlKqVCmNFt/169crFxmHDx+W3r17az2hoXr/Hj58qFwk+Pv7y6xZs8TDw0N27dolZ8+eVdaNjIyUTp06SYUKFTSOS22CGH9/f+X57du3ZcCAAeLq6irffvttsq6IGZ3A8GOVJWPHjpVXr15pXIB26NBBnj17JocPHxY7Ozv566+/ZPHixVKjRg3le07L/r4/Q/+UKVNk8eLFYmVlpcw0qxYfHy/Hjh2TwoULy9ChQ0Xk3YVjrVq10tQ7S/27unr1quzatUvpwXL9+nWZOnWqeHh4SHx8vPj7+ytDPf7880+pU6eOtGvXTgkqtmzZovVM9JGRkTJhwgTZunWrXL9+XaytrSUxMTFZYK+uRFAH9tr2FkjNpUuX5Pnz5xpd8Lds2SI9evRQfg/q4ST66Fq6fft26d69u8TFxcmiRYtkxIgRSiWi+qJfV/n6+/srXUgPHDggjRo1kqFDh8r9+/flzp07GcpLfQyFhYWJn5+f7N27V6lQ8/Hxkc6dO8u0adPk5cuXEhYWpvwWMrpv71eY9OrVS0xNTZXWUHUvE31dm4poVpjcuXNHEhMTxdPTU6ytrXU2EW3S/7iuXbuKra2tcpzcvn1bfvnll2TDPTOSz4YNG2TUqFHStGlTmTNnjvz333+yd+9ead++vdbXFGmRmJgob9++lcGDB4vIu2BY/X98+PBhnX9/t27dUoat1K1bV+7evSuxsbEagai+JmlLTEyU6OhoGTZsmBQvXlzjf/fq1asyd+5cnea3aNEi+eKLL2TKlCny7NkzWbBggRKzZRQDbj16fwyJgYGBVKxYMVPLoD6B6eJPKLUWuhMnToidnZ38/PPP8v3334tKpcrwxCWp/XgfPHig0VXG29tb6tWrl6G8PlaG8+fPS+HChWXt2rUioptZgz+F/RN5d6Hat29fMTQ0FFtbW8mVK5cSqGRkP9/fvwcPHkibNm1EpVLJX3/9paQvWLAg3a3L71OX19vbW2bMmCFLly6VhIQEefbsmbi7u8vw4cM1Ki4iIiLEwsJCRo0aJZGRkbJlyxYZNWqUHDt2LE2/FxcXF7G0tJQmTZrI0aNHZc2aNTJt2jSpUqWKrF+/Xvz9/eXJkyfy5s0bmT17ttSpU0d+//33DO1jesY3Ozs7y/79++XZs2cycOBAsbKy0gjERFI+HtMakCYmJsrdu3elcuXK0rFjR41tjB49OlnX2tRo+/29fv1aevXqJUePHpW4uDh5/PixiLybDKtVq1YfzW/OnDnSrVs3uXz5stja2oqjo6O4uLjIxo0blYoDtevXr8tPP/0kFhYWYm9vL6NHj5bhw4eneciO+nt79uyZuLm5iaWlpdy4cUMSExPlwoUL8ssvv2j0WlBLTEyUSZMmSfXq1dPcGqrm4uIi7dq1k8aNGysXY9u2bZPff/9dY+6PwMBA6d27t9JSGhcXp/XFU1orSxITE2XWrFnKcIepU6fKvn37JCwsTDw8PGTkyJEyaNAgJVBN6zloxIgR0rlzZ+XY/+eff8TJyUlGjBihEeCvX79eOR5Xr14tzs7O4ujoKD/++KMsWbIkzXkGBgZKhQoVpHfv3tK0aVNlfO/x48dl2rRpGusuWbJEFixYICLvuoW3bdtWli5dKs2aNVPe96HP+9q1a7Jnzx4lkN23b5/Y2dlJ/fr1Zfbs2RITE6ME1LoK7D8kLi5O2rdvL8OGDVOuL44dOyYjRozQeY8lkf/9dmJiYsTPz0/pLRgSEiKenp5ib2+vBMC6NmHCBMmfP78MHTpUvLy8xNXVVae3erO0tBRbW1upVKmStG7dWjZt2iQi73p+jB8/XmbNmqXTIXopVZhs3rxZunfvLlu3bhWR/w2t0HeFycKFC2X48OHKtaL6XJrRfNW/padPn0qdOnVkxYoVMnz4cBk3blya7+ChjaCgIPn222/l1atXcuHCBRkyZIhYW1tLWFiYTifVS8mcOXOkVq1ayrCYyMhI+emnn3R+h4D4+HgZOnSoNG7cWLk18Pnz55XvMrMcO3ZMfvrpJ3Fzc0s2BCi9x436WLhx44b4+fnJkydPlB5RIpLm83RaMODWM/VBEBkZKYsXL1a6eej7INX3ffhSyuPGjRvi5eWlXLjpogzbtm2TvXv3ptjCGx8fL3Xq1FECuPQGiGkp5/z585WZ5XUpM/YvNUm3t3DhQlGpVEr3VV3ltXnzZo0J2C5duqRRcdOkSRP5888/RUQ33dcDAgKkaNGi0qVLFxk4cKASWCYkJKQY0CQkJMiECROkcePGsmbNGlm9erVMmTJFubhNzcuXL6VWrVpy584d2b17t9jZ2cmcOXNk3bp1ygX9li1bNCYtOnbsmLRu3VqcnJzS3OqbmrSObz569Kj88MMPsnv3biXNxcVFypUr99Hus2kNSJ8/fy5XrlyRAwcOSMeOHaVdu3Zy/PhxrfYnPd+fupJkypQpyr7cuXNH6tSpk+JtGZOKj4+XU6dOKb0rbty4IfPnz5dVq1YlG5e+YcMGefbsmRw6dEj5fYi8+yNWd2lNqz59+oi5ubn06tVL48I9ICBAo0X++vXrsn//fuWCbf/+/WJvby/bt29P01jrpMfnnj17ZODAgSm2ciYkJIi/v79YWlpKhQoV0j3D7ccqS4YNG6b8FrZt2yYTJ06UU6dOyZ9//ikbNmxQtnP58mWtexKpz83Hjx+Xvn37ipubm0RERCj/sVevXlXmIBk/frwSFL548UJ+++038fT0TNYt+2N27twps2bNEpF3k+yMGTNGvLy8RCT5rWPu378vXbp0kVatWsnBgwdl2bJlYmFhocxa/KFrgaCgII3AXp3H+fPnk90rOaOB/ceor2UeP34s165dk27dukmTJk2UypstW7Zo/XtIC3WZf/nlF6lRo4aYmZkprYavXr2SCRMmyIULF3Sa544dO2TevHkSFRUlx44dU4Lenj17asyNkR7qz3HlypUaFZRr1qyRIkWKiIuLi4i8O8fr4zavqVWYDB8+PEsqTMaMGaOXCpMNGzYowwBDQ0Nl1KhRUrhwYaVSQ1cVCuHh4TJw4EDldUREhNStW1eKFi2q80kL/fz8JDAwUHbu3Cn79u2TkJAQ6dSpk6xbt04CAgJk+PDhSq+djF5/v//+I0eOSKNGjeTUqVMSHx8vHTt2VIY+6KNyRv2f8vvvv8vkyZNl4sSJcvfuXbly5YpMmzZNPDw8Mjw/jjqPCxcuSJ06dWTatGkycOBApVfJzJkzpXPnzhneFzUG3NnMs2fPJC4uTjnAMyOw/pjUfmzp/RGq3+fo6CiWlpbSqFEjGT16tMTFxcnbt2+VC5R79+6le3IvbT+3kJAQKVCggE5u85QZ+6fO49SpUx8cF6X+HF68eKFx0ZmRE2hK+zd8+HCJiYmRuLg45SS3aNEisbS0THc+KVm1apXyHbm6ukrjxo1TnL1aHdCoL9wOHDggTk5OsmrVqhQnO3nf8+fPlYvb+Ph42bNnj8yYMUOjm1p0dLT8999/0r17d6XGOTAwUGbOnCnz58/XepKmtI5vTvrdqXswlC9fXuNeoL6+vh/8DWgTkHbr1k26desm/fv3l927d8vBgwdl9uzZcvr0aa1/Z2n9/tTCwsJk2bJl0rp1ayUgVwf7H8q7X79+YmZmJh06dFAmfzx//rzGbbpE3gX1zs7OMnPmTI1xahMmTJBevXp9NB+R//0e7ty5I6NGjRKRd3ey6Nmzp7Rp00ZpDU5aOdCkSROxtbWVdu3aKS3be/bskWHDhqUp4H7/+FSPBd+/f7/GXA5JLV26VCwtLVOcOOlDPlZZEh8fr9w+S13hvHnzZmnWrJl07txZSpUqJdOmTZN69epJly5dtBpbmZiYKMePH1cmubl69apMnz5dli5dKlFRUZKYmCi///67TJ8+XV6+fClr166V8ePHp7q9D5331N+Pv7+/bN++XSZOnCgxMTESHh4umzdvFisrq2Q9uy5cuKAEoTt27JChQ4eKp6enODo6irW19UfHWe7atUsJ7Pft2yejR4+WgwcPpjjJY0YC+49JOjyldu3aMmrUKNmyZYscPXpUXFxcks3grSvq7+PBgwfSqVMnefjwocyaNUt69+6tDL/Qh4sXL4qjo6Ns3rxZ+ayXL18uZmZmOtl+YmKi9O/fP9nxcufOHenfv7/SKyOlGbfT63OqMBF5d8eHpk2bakxC17ZtW2UeEl1JSEiQfv36yZgxY5QW9JUrV4qrq6tO80lMTJR//vlHJk2aJN99952cOnVKRER2794tY8aMkW7duknr1q0zPLFX0vcGBgbKrFmzZN68ebJv3z5ZsGCBjBgxQlq3bi3t2rXL+E59xJs3b8TU1FT++usvMTMzUxqfjh07ptPKqLZt28rJkydl1qxZGrePVLd4i+imEYoBdwY8efIkzTUsGQ2M3759KxMnTpTy5ctLsWLFZMaMGRna3qfu+fPnUrVqVeV1x44dxcbGRoYNGybu7u7Jxolp+/mq37dkyZKPjo9Wb3vnzp0aE5BlhD73T31iuHLlinz77bdKq0ha6aISJ6X9GzhwoLJ/jx8/lqNHj+r0ZHb37l0xNTXVOBF7e3tL9erVk1WUqAOa9u3bKwHNrl27ZNy4ccqY5dQ+B29vbylXrpxUr15dqS1PTEyUFStWJLuVSkJCgkyaNEmqVKmitGhev35dRo8erdXENOkZ3+zm5iZjx46V3bt3y9atW2XYsGGyfPnyNE3iktaA1NvbW1q2bCkiIqVKlZIyZcpI+/btZciQIWmquEhKm+9v8ODBGi30e/fulQIFCsjo0aM/evz6+fnJTz/9JIcPH5ahQ4dqXBil9N7r16/LtGnTxMnJSV6/fi1xcXHSp08frceMjh8/XipXrqxxcTl37lz56aefNCYr8/DwEDs7O4mIiJAiRYpI2bJlZfz48cqMxamVUy2149PT0zPZ8Tls2DBxdXVVJts7ePCg2Nvbi5eXl84rS86ePavMmC3yLkDs0aOHVKxYURYvXizPnj3T6lZ1IiKjRo2Sli1bSqdOnZTj+vTp08otsw4fPiw7duyQSZMmiaOjo/Jdvnr1Snbs2CHLli3TqIhKCzMzMzEzM5O2bdtqfJcbNmyQsLAwJW3lypVSpkwZGTlypCxfvlwePHggu3btEnt7e7l//77Mnz9f2rRpk2o+Hwrs1S32ahkN7NOqQYMG4uvrK6NHj5YvvvhC2rZtKzNmzBAXFxeddn1+n5OTk8akpatXr5bvvvtOJk6cqLPJKJOKi4uTP//8U/r06SO//vqriLz7XV28eFFEdDPcau7cucq5Jz4+XukZ0adPH6WSRVc+twoTtVmzZomrq6v8+++/EhoaKl27dlUm3dTFNUdAQIDcvHlTbt68KdOnTxc3NzeZN2+eVKlSRRnipMvW38jISOnbt6+ULFlSo7v6w4cP5fXr18p1o656KPbr108mTZokdnZ2yrwjfn5+EhAQoJyrdd3zMqn169eLu7u7BAQEyA8//CAi7yoBwsLClN9LRj/f+Ph4mTdvnjx58kTMzMyU3haLFi3S+v/oYxhwp9OrV6+kcuXKMm7cOLl58+YHa4918WdgbW0tTZs2laVLl8qyZcskX758ylgKfbRyq7cZGxsrjx49kuDg4Ewdq3Hv3j1p27atnDlzRk6fPi1ffPGF+Pn5ydatW6Vnz54Z+oNIemselUqVbNbjpFIb25pR+tw/tRo1akjevHmlWLFiqc5erabrY+hj+5f0wluX1qxZI2XLlpVJkyYpAW1wcLBGQLNixQoZPHhwigGNeuzOhz6PwYMHy8aNG2XHjh3Su3dvjXHZSU/+SU/WV69eFRsbG1m0aJFER0d/NKh/n7bjm2/duiW1atWSAwcOSKlSpaR79+5KN9iPdRvUJiDdunWrXLt2TZYuXSqTJ0+W+Ph4+fHHH6Vdu3bp6u71se9P/SernljL1dVV6cExd+5cpSX1Q5/r1KlTlfG6/v7+Ym1tLd9//73ym1Of55JOdvP8+XMZMmSIfPfdd3LkyJF0tTxFRUWJvb29VKpUSbZt26akq4cXqAOHtWvXytOnT2XEiBGyZcsWefr0qZQrV06GDBmSpnzSenzOnTtX+vbtKy4uLlK+fHllAr6tW7dqzLOQFmmpLFF/nxMnTtQYkrBu3TqZNm2a1q1rN27ckPr168v27dtl0KBBGrOaq4M/dY+Thw8fiouLixQqVEhUKpX06NFDhgwZIr/++muaLqrUn9uFCxdk+PDhIvIu6GvRooXGjPghISEybNgw2bZtm9jY2Iivr6/4+vrK2LFjZenSpRIfHy/e3t7K+upjLaWLVjMzM+U2fPoM7NPq+vXrMm/ePHn79q2YmprKq1evpHv37lKpUiVlJm9d/48kJCRIYmKizJw5U0qWLKlRYfTw4UONoTK6cPXqVY0hULdv35Y6deqIqalphmdiVn/HUVFR8vTpU9m4caP88ssvyc6TFy5c0Bi6oks5ucJE/fmeOnVKfvvtNzl16pRcvnxZJk2aJIMGDZK6devKiBEjRCRjx6k6n9WrV0vbtm1lxIgRMnfuXKWFdOLEicr/iz66Wl+8eFE8PT3l+++/VyaEfPDggc7Hi9+9e1fpgVi/fn2lRV3dSKKv3rX79+9XKmMCAwPF1tZWfvzxR+XWce7u7sps5emlLntCQoIcPnxYZs+eLV9++aXyeT58+FAaNGigk1tlJsWAO52GDx8uhQoVkkKFCkmZMmVk+fLl8vTp02QHoS6C1EuXLkn+/Pk1xrksWrRIfvjhB4mPj9f5j1p9Qrl9+7bY2tpKvnz5pG7duikGSfo4oaitW7dOypYtK71791bu4SzyriXF1tY2wz/4atWqyZgxY0Tk3TicCxcuyLJly2TLli3J7u+nj5OLev/69u0rU6dOVdIzsn/q42316tVSrFgxefbsmXTs2FFat26t/LFn1jCE1PbP09NTJ99fap49eyajR4+W6dOnK+Nik1Yg/fbbbxIYGJiugObQoUPSs2dP5eLr+PHj0qBBAzE3N5eQkBAlIAwPD5effvpJBg8erEwKd/PmTRk5cmSKY8k/JD3jm2fPni07d+6U06dPS8eOHWXixIlSpkwZadu27UfvIJDWgPTAgQNy6NAhCQsLkzFjxigt2k5OTsqfc3rOD0m/v/fH9kVHR8vz58/l6dOn8ujRI5kxY4bMnz9fPD09xc7OLtln9r4XL15Iu3bt5LvvvtNo9fv999+Vz1Dd5drS0lLMzMw0LmQGDRqUrmEQST+HgwcPysiRI2XDhg3Juv9dunRJwsLC5Pnz5zJw4EBlXP6ECRPk2rVrybb1vo8dn+r3RkVFSdu2bSUmJkZGjRolQ4YMkZo1a0rv3r3TfRubj1WWqPNet26dVKtWTUaOHClRUVHy+vVrGTduXLKJ6j5m9uzZsmzZMhF5Fwyqb1epPvZE3n2XFy9elJ9++kmuXbsmAQEBMn78eJkxY4bG7fDSei7q2bOndO/eXXl95coVady4sQwcOFCZTXfXrl1ia2srv/zyi3JxevfuXenevbvUqlVL6THyoWuDixcvZlpg/yHqzyUmJka2b98uT58+le3btyuzI2/btk1+/fVXnfX8ej/fpG7evCk///yzODk5Jbvvr67yPXLkiJQrV04GDBigDAO6cuWK9OjRI8PzbqhZWVlJ165dpXLlylK8eHEZPny4XLhwQdmHwYMHK/+XuvyPzMkVJknLra74++mnn2T9+vUSGxsrN2/elCtXruhsEuGYmBipV6+ePHr0SDp16qSMZX7/89P153nr1i3luAwJCRE7Ozvp16+fFCxYUOfj78PDw2X69OkyfPhwZYz6zZs3xcbGJtmwMl1auXKlfPvtt0ovDycnJ2nVqpUEBgZKVFSUVK9eXenhk97PV/2+RYsWKfmMHTtWli1bJhs2bJDmzZuLu7u7iOi2BZ8BdzoEBwdL69atZd26dRIbGytjxowRlUolZmZm8ueffyqBTUhIiIwcOVLpWpJejo6OMmDAAI3JWIKCgqRUqVLKBZnIuzF+J06cyFBeSTVo0EB69Ogh+/btk65du0rdunUlPDxcQkNDdXZfutSoLxBCQ0Pl6dOn0qZNG2UWzY4dOyqz0Wp74lT/eNasWSPFixdX0vv06SPlypWTb775RipWrCjm5uZad8VOj+joaLl586aYm5tneP+Snnzy588v69atE5F3412+/vpr6dy5s87us5tW0dHRcuPGDZ3s38ckHZt67do1cXR0VFrX1J/NH3/8IWfPnpWQkJB0BTReXl5SqVIl+fnnnzUumJcuXarx+dvY2MjChQtl6dKlYmRkJAMGDJDIyEhlJsz0SOv45kePHsmhQ4fkxYsX0rlzZyVg7Nevn8ZtxFKSloBU5F3A1rp1ayWw27lzp9jb28vixYuVrl/aev/7mzhxolJedWuznZ2dmJubS/fu3WXo0KGyZcsWmTFjhrRr1065eEvLMbVgwQJp3LixrFu37oPjlTds2CBdu3ZVPudff/1VGWOs7R+xev23b9/Kvn37xMbGRuNWcZcuXRITExN5/vy5iLy78Jg2bZo4ODgkm/09NWk9PkNDQ+X8+fNy7do1adKkiYi8GwvYsmXLDHX1/FBlSUxMjDJDckREhDg7O8vYsWPl0aNHWn+WwcHB0qJFC/n+++81PsPFixenOO/Fn3/+KfXq1ZNx48bJgQMHxMXFRaMlM63++usv+f777zWGFMTGxiZrXbp27Zo0btxYLC0tNXqepLXnUmqB/YABA3Qa2Kfm/QB6zpw5yoXpvXv3xNraWs6fPy+tWrXS2Qy+Sal/w8uXL5eRI0fKqlWrJDo6WgICAsTV1VV+/fXXj05smVbqY099fRUbGysLFy6U0aNHy+XLl2X27NnKsIOM3gZs//790rhxY3n27JkcOXJExo4dK5MmTZJx48bJiBEjZOrUqVKrVi2tbon3IZ9bhcm8efNk0qRJ8vLlSyldurTUqFFD+vTpo1RO6yqfp0+fyuzZs+XOnTvKuP7g4GDx9PSUN2/e6PS3kHQ4gKmpqfTv31+5FVZERIQyNEYX1Mf3rl27ZNeuXbJgwQIxMTFR5nIZMmSIcqthfTbc+Pn5SZs2bZThTlOmTBE7Oztp2LCh0lMio/m/fPlSxo8fr0xy6+PjI9OnTxcHB4cPzvOREQy40yE0NFRjNmKRdy1B5ubmolKppHfv3nLx4kWxsbGR77//PkN5xcXFydy5c6Vbt24asz2KiJibmysHxuPHj0WlUmV4XIz6x71x40YpXbq08qcWFhYmjRo1kvbt20uZMmXEzMxMFi9erNcW7ri4OKlWrZrcunVL/v77b+nevbs0aNBAevfuneFtV6hQQTlRLl++XH744QeNCRmaNGkitWvXTndrT1okPWH89ddf0qtXrwztn3p7Q4cOlbp162os8/b2lsqVK2vUMGfmhHv79u2Tnj176uz7S03SSql//vlHfH19ldcBAQHKeGOR/wU0Y8eOTXNAI/IuYBo0aJBYW1srs2EnFRISorROtW/fXvbv3y+dO3eWKlWqpDvY1mZ8c58+fZQKMScnJ9m0aZM8ePBA+vTpo1S4fOy7TxqQpjRr9KpVq2TgwIFKS+bdu3fF0dFRxo4dq7R0p6dmOGleFy9elKtXr8qdO3dk8ODB8vfff0vr1q3l6dOncu/ePVm0aJEy/j6tx3LS4OPo0aPi5OSUrNLi1q1b4uzsLOPHj5ddu3bJ/v37xcnJSTp06KARBGkrOjpa43yZtCVW5F2QlTRYvHLlijg5OcmECROU4yYt59u3b9+KjY1Nqsdn0u9FfS/n8PBw2bBhgzLRmra0qSzp2rWrjBkzRk6dOiXz58+XqVOnprvFZPLkyWJmZiZbtmxJ8Rg4dOiQbN++Xby9veXFixcyf/58cXV1lQULFigTrWkrNjZWxo8fL2PGjFHG9CY1adIkZZjSpEmTpH///smG9HzseM2swP5D1L/FoKAgGT16tMbs7jNmzJBRo0ZJp06dMpzP+9Sfjb+/v9SoUUN27twpFSpUEGtra3n79q34+/sr46rTS32sJp1FulWrVtK/f3+xtraWTZs2ydKlS8XGxkbq1Kmjs1tktm7dWpl/Jzo6WmxtbZXJKOfPny+LFy9Od4VeSnl+DhUmSe3YsUPCw8Olf//+4uXlJW/fvpWaNWsqXcl1JTExUX755RcxNjZW7rKwefNm6dmzp07zScrMzEx8fX3FwcFBvvzyS+nSpUuyXhcZuR5POhGjlZWVUmHq4uIijo6O0qlTJ6lXr57OKoM+pE+fPjJq1Cjp3r27rFy5UmmouHbtmtLNO6Oxx99//y3ffvut9O3bV0l7/1pH1/ENA+50SjrhUdIv6fDhw1KpUiUxNjYWlUqltDhntFuCuhY/6QEwb948adasmYi8mylYPU5LFwdJmzZtNIKzbdu2iaGhoSxbtkz2798vgwYNknLlyiW7NYkuPXnyRKpUqaJ0r3r+/Ln4+/srQXB6P9PAwEBxcHCQxo0bS/Xq1eWLL75I1rXJ19dXChUqpLf7e6qpT15v3ryRwMDADO9fYmKijB49Whnfl7SSxtHRUfLkyaNMpKQv6jxfv34tt2/fVu6vqavvTy3pRcXly5dl6NCh0qNHDxk3bpzG2Bv1ejNnzpRhw4Yp6X5+fuLk5CTjxo1Lc0CT9PtavXq1ODo6Jht7evjwYbl586b4+PgogfyJEydk6NChye5/rY20jE/38fHR2Me9e/fK0KFDxczMTLkX74f+KFMKSLdu3ap0DVS/f9WqVVKyZEllIhWR9HdX/dj39+zZM1m0aJEMHTpUGduYmJgop0+flh9//PGDczB8yNu3b2X16tWyYMECiYmJERcXFwkPDxcLCwsZNGiQrF27Vuzs7GTdunVy5swZ8fLy0ujG/zHqdW7duiWTJk2SFi1aiKmpqdL9UE39mY8bN06ZUVf9WSYdR56WC5yk66xYsULGjx+f7PgcPHiwXLlyRcl70qRJMnnyZClSpIhSQZWeiyltKkvmz58v27dvl6CgIK1vySWi+fn/+eefMnbsWOW2Z8ePH5fr16/LgwcPpGjRojJ16lTp37+/jB07Vhkfm9GurFFRUbJgwQKZOHGihIeHK5/Xn3/+KWZmZsrv8+XLl7J161aZMGGC1v8lmRHYq71580a5Fdb7rWUHDx4UExMT6datm8Z2k05cpI+Jk2bNmiUbNmyQy5cvS4sWLWTgwIFStWpVjX1Mz7VO0s9k2rRpsnPnTpkxY4ZYW1vL7du3Zf369TJ16lQJCgqS0NBQJajJ6D6+evVK3NzcxNbWVrkutLS0/OjtGdMrJ1eYpMTf319u3rwpJ0+elJEjR8rJkydFRMTBwUEZRqWLa+Pnz5/LgwcP5MGDBzJu3DjZvn27bN26VWrVqpWhoVQfcuPGDZk+fbrGcID27dtLxYoVk02gmFFr1qwRCwsL5b/nyZMnsnv3bjl+/LjSC1DfE6V16NBBRP43UWuXLl3SNL/Ox7z/3jt37kiLFi2kX79+epmh/30MuHUkPj5e48s0MTGRfv36iYhu7n2ZkrNnz0qNGjVk//79kitXLmVsR0Z/DCEhIbJo0SKNP4IyZcpozIzu7+8vFSpU0GkX9pT89ttvkj9/fjl37pxOtxsZGSmHDx+WQYMGiZWVlcatI+Lj4+XevXtSo0YNjV4MupC0W6m6y9/79FlzOHbsWKlUqZLSRUjX1Pv3+PFjadq0qZQsWVJatGihcY9hXe2f+rfh5uYm9erVkzJlykjz5s2lUKFCUrBgQY2Khfj4eJk8ebIUL15c44IyaZCgbbkePnwojo6OGkG0l5eXDBo0SETeBYr9+vWTq1evyoQJE5QxQRnZ/4912e3YsaPUr19fObZiY2PlyJEjGi1jac1fHZCqu68dO3ZM3rx5I+PGjZPY2Fjx8/OTtm3byrhx45J1EUwLbb6/yMhIWbhwoVSoUEEjYLWzs/voBHxJ9/fevXvi4+Oj8Z2Fh4dLcHCwODo6ysKFC5V5HaKiouTAgQPSp08frSeAU/8O7ty5Iz/++KPUrl1bunXrJm3btpU8efJIgwYNkt3zWt2KoL6wuH//vnTq1Omjt+h6f/9Onz6t/BfMnDlT47e3Z88e+fHHHzX+V27evCkHDhxQzglpuVjUVWVJ0lYubX8XoaGhyme1ZcsWZSKdVatWiaurq8ycOVNWrlwpIu++h4kTJ8rZs2fl0aNHaR7mpf4s4uPj5e7du7JixQrlLgGxsbHKLZXU1PetV5fDxcVFDh8+rHHnCW1kRmB/9epV+fnnnyVv3rxi8n/tnWdcFNfXx2fsKIqxUhQQBBVBQJo0C4IRBJRibGDvYhQ1ig17iSgae4vB3guWGENi11jzV1FULAQVEBUriALL73nBZ+6zs9TdnZlFvd83icvunLkzd+7cc+65v2NkBC0tLejp6fGqDCQnJ8Pb2xs9e/bkbWMTGu56p6am4vfff8fr1695peK6du2K+fPnC2IrKysL+/fvR0REBMaNG0fmGM+ePUOfPn3UStMtLoAhk8kQHR0NIyMjuLi48BxedeZt31LARB55oTQ7OzsMGDAAc+bMwS+//IIFCxagd+/evHarCneehw8fhrW1Nfr06YPu3bvjp59+QkREBAYOHEjmx0Kn5XP/zc7O5m0H2Lt3L+bNmydoyTigYDxwcHBAx44dBa8jrgjXNnlBwrt372Lw4MHk3y9fvoSxsbEgwo8cO3bswN69e3HlyhW8fPkSy5YtQ2RkpODCc4pQh1tg8vPzsX//frAsSyYDYkWDsrOzYWVlBZZlyeqVULays7OJ+m9OTg4uXLhAJn55eXl4+fIlHBwcBFcJLeo8uHqtQiE/IKanp+PChQuF1AjXrVsHU1NTwWwq4uPjg7p162LkyJG4efMm6Ssc6tYwL+7ze/fuwd7eHhYWFkqVpSor3LX18PCAt7c35syZA1NTU8FTurh+fuvWLXz33XeIiYmBTCbDp0+fcPLkSfTo0QPNmjUrtA//4sWL+P777zFjxgyy77Es7QEK9m39+eef2Lp1K09wSZ758+cTR/H9+/dYuHAhwsLC0Lx5c+IEq/JCLipll0s/5lSWnzx5QibGrq6uhWq8lqWNRTmknKOwZ88eBAYG8mrRJicnY9GiRViwYIFSKr5lvX/Hjh3j/e7q1avo1q0bBgwYgN27d8PU1LTYwJV821JTUzF9+nRUr14d9erVQ9WqVTF06FCeM3v58mUMHjwYLi4uPKciPDxcZUEaV1dX9O/fn2R5pKamYtu2bXByckJgYGChcWfq1KlYvHgxYmNj0bVrV5JlVNxzXVL7Jk6cWOh90K9fP5JC+unTpyL7Yln6p1DBEmV0MuSVwkeMGAFjY2Po6emhb9++vCyPhw8fYs6cOfDz8+MFiQ8ePEjEf5Rlzpw5sLW1RdWqVdGoUSOwLIshQ4aQbJ38/Hzk5ORg9uzZCAkJwYABA9C3b1/069cPv/76KzlOcddWPp1Tasfe0dERISEhuHTpEjIyMnD48GH4+/vD0NAQv/32G/leTk4OVq1ahWnTppEMCbEYMmQIbt++jby8PEycOBH79u0jQoKKNarLQnEOaX5+Pnbv3g1XV1fedpGUlBSMGDFCpf3vRQUwdHV1yfYXoECQtmPHjvD19VUr66k4e99CwESeNm3aIDY2FqmpqVi9ejWCgoIwatQoLF26lGSBKDunKko9PTAwEPv378fLly+xbds2LFmyhMyT5ZWvhWTNmjX48ccfART0G+5Z9fT0JO9HoWxGRkaSdx2XNXPq1ClBjl0Sy5YtI5kkmZmZ8PPzw5IlS0hgdOjQoWQLkKo+Dve79evXw8XFBePGjcPEiRNx4MABvHr1CqNHjy40zgoNdbhF4MCBA2Q1S6xSWjKZDHl5eejRowcqV65MPpdqX+769ethbGws2vHl23Ht2jUYGRkVmnwLdXx5ZDIZLl68iEaNGpFyOkIHTD5+/AgXFxeEh4fD09MTWlpa6Nq1KyZPnizJ4Hb79m0SJRUSrq8fPnwY2traxAHbtm0bhg4dit27d2PDhg2CKlza2dkVqS6ekJCAdu3awcHBAZmZmcjNzeUFHebOnYulS5eWeXK6bNkytG7dGpUqVULNmjWho6ND6mpzXL16FaampryIemZmJh4+fEgixer0JcX96f/++y9ycnKwefNmREVFoWnTpuTva9euxZgxY/DHH3+UqWRhWRzS27dvw9jYGEFBQbxjXLlyBT/99FOxQYiSKOv9k6/GkJycjKFDh6J79+5kclDadfX394eHhweWLl2KQ4cOISIiAg0bNoSjoyNvAvr+/XuMHj0aVlZWZMLq7+9faJ98SXDXe+fOnfjuu+/w4sWLQhOiAwcOQEtLi5Syki9VOHXqVIwdOxaDBg0i3y9tXC+qffXq1SvUvtWrVyMyMpL323Xr1vH2/5aGVMESeRTTVDt16oTJkydj7NixMDIyQr169YjSMvf9ZcuWkQoi3Hnb2tqWefyRV+M3MDAgNexv3ryJJUuWwNTUFD4+PrzV8tevX2PYsGFkL/ylS5fKlLbLtU9sx16R5cuXQ19fv1BptISEBHTt2hVWVlY8HZPk5GSEh4fzFNCFgntGrly5wguM7N+/H6NGjYK7uzvGjBkDQLl5TnEOMLcFASjIyAoICEDPnj1x7tw5zJ07FwEBASq1o6wBjJSUFMyePZsn2CmmvS85YFIaP/30E68Pz5gxg6fqr+y8WP7cuPdubGwsOnXqRBZHHj58CDc3Nxw+fFglG2W1n5mZiUmTJpHMlXnz5mH06NGCbQfgxvO7d+8iLCwM3t7e+P3334lW1dixY0XdWvnp0yekpaXh+fPnRMjy/v37CA8PR0REBHx8fJTS2JGHa9u5c+cQExOD3NxctG7dmmTkHTx4EB4eHrh8+TIvg0gsqMMtAvITXKFvYFHH4wSSpKiTLZPJcOnSJRgZGRGHVCy7eXl5yMnJIYGFli1bClaaozji4+PRuXNn9OzZU1Q70dHR8PHxgUwmw+nTpzFs2DB07twZWlpacHBwwG+//YZ//vmHRE+FQl6JFRAn+8LIyIi3t5fL+DA1NUWNGjXQpEkTtVJ3uHM+cOAAqlWrxlvdkn8+Hj16BD09vSL3P545cwazZs0q0Q730jtw4ACaNGmCOXPmID4+HocOHUK/fv1Qp04dhIeHIysri9i9efMmXFxc0KtXL97+W2Upa8puZmYm9uzZg0aNGvFWQ1+8eIH169cjPDy8TMr0JTmk3EpadnY2Tp48icmTJ8Pc3Jyolp86dYo4bGUZ74S4f//++y8RASoO7v7t3LkTderU4VVWeP/+Pfbv349WrVqRcmLytv/44w94enrC29sbvXr1KrVNRaGvr4+5c+fyji1vY+zYsfD19S30OXd/5Vc9hWgfUOBI+fv7Y/fu3fj8+TNOnz4NGxsbldonVbAE+P9r0aFDB/Tu3Zu8Bz5+/IgLFy7ghx9+gJ2dHU+xHCiYRA4cOBAeHh4ICQkh45Iyk/3GjRvzatEDBfdo69ataNiwYbFZCPn5+XB3dyer/aVlH0nh2CueX40aNXg14eXP8f3799DX1+c5bYA473v5GtA9evSAh4cHCYxkZmbi0KFDuHTpEjk/ZeZVZXVIgQKVe66+MefAKdNXlA1g3Lt3DyEhISqL3H0LAZOi4H7/6dMnxMbG4qeffkJwcDDRFDp//rxKAmaJiYmYNm0ahgwZUmif+bZt22BiYsJbrNi7d2+hsUEVirseXBBx7969cHZ2xv/+9z/k5+fjzZs3as3hilq9b9WqFTZv3ow5c+Zg9OjRJPtoxYoVSm+pUoUbN26gefPmGDVqFLKzs/HgwQP89ttvWLt2bZEaVsrQpk0bEjSYPn06b1vDli1bsHjxYgDiL1hSh1tNxLhBZYnAb9myhdTKFVMpXJE7d+4gMDAQ/fr1E/S43KBx6dIlHDx4sNA1ePHiBaytrQu9IMUgPT1dkBXJ0hg5ciTvRRsSEoIWLVqgT58+qFq1KurWrVvoRVreOXnyJFiWRVRUFLl2lpaWGDVqFO7du4f4+HhYWlqWqeZ1afj5+aFx48Y8wTPuWeBeRubm5oiKiiry99zEsbTnp2HDhoiKiuJNNFNSUjBt2jTo6+uTrAT5/Z5LlizB1KlTVU7fUyZl99GjR/Dz80OHDh3InlWgIMW8KJVqRRulOWxF3aszZ86gV69e6Ny5M29lXRmkun/169cn10VRa+PQoUOoVKkSEdjhjpWbm4sTJ06gb9++JB1cmbHg7NmzYFkWP/74I1nF5X7Pnfe+ffvQsGFDXhaBKuV5lGkfUCCAOWbMGAwfPhzW1tZkJbos7ZMqWCIPd0+OHDkCbW1tUjZNnsTERJiamqJ3795k+4V8Rkvfvn3J+1LxXEtq56JFi2BoaMj7nfxvf/75ZzRt2rRQYDQvLw979+5V6j0ptmOvyC+//IIKFSqQvcvy14wL+vzwww+8lV6hyzhy1/Ls2bOIi4vDqFGj0LNnT3Ts2BFeXl5qCxmV1SHlzuP169eYMmUK0W5R5jlUNYBRVBUIMe19aQETeRTHx0WLFhHHeMGCBViwYAE2b96MDh06kIyPsvbZFStWoE2bNqhTpw7s7e1Ro0YNGBgY8DJ1kpKS0KVLFwQHB+P333+Hl5cXWXgS2hdIS0uDjo4OunfvjsTEROzfvx/R0dFqH1f+enB9ITExkZe5duTIEdSuXRsRERGC1S4vCm6cPXnyJBITE5GdnY2wsDD07NmTBPpVhRN6zcjIQGhoKCZMmAA7Ozts2bIFvXv3JgJ3e/bsEXTLaklQh7sMlNUBXrNmjdq29u3bh7CwMNy6davYgZjrlLVq1SLqi1Ly8uVLwZSm5cnLy4OjoyNatWoFV1dXzJ8/H+/evSMv/6ioKNSvX5/sB5IqfV5ouGsWExMDExMTJCcnIzU1FVWqVEFsbCyAAkVT7v9LWxkpaQWTu0bXr19HZGSkSmm/ypCXl4eIiAhUqlQJkZGR2LBhA5o2bcpLHR0xYgSCg4OLjLIqw7///gsbGxvo6enxIvbcdcnMzETnzp0RExOj9LG5Y0ydOhUWFhbkc8XzDQgIQIcOHQr9Ljk5GRMnTlTJtrIpu/KK1h4eHhg2bBj279+Pnj17lmlyVRaHTb7aAvf3+Ph4bN26lSjiKzsWiHn/OH755RfUqFGDiIjJT/i4/3d2diaCW4pwbVOFmJgY1KxZEx4eHrwJP3f9tm/fDm9vb6XSuRVRtX1nzpzB6dOnSwzIlIRUwRJ5zM3NiRZEUYGJmJgYWFpaFlnK8fz58ySNtqxjTm5uLoyMjPDDDz8Qh0LxvJOSklCzZs1ilaa5uUNpY/jPP/9cqmNvZmYmiGPPceXKFVhYWMDY2Ji3lUn+XEeMGEFKHIoV2P/8+TMSEhIwePBgXvBu7ty5GD16NE6dOqWyGrmUDqnUAYxvIWBSFIrq69y74+rVq4iKisKCBQswbdo0pY75+PFj1K1bFytWrEBmZibevXuHY8eOwdfXFy1atODt7X3z5g0mTZoEFxcXEsRTdR58+PBhjBo1CqtXr+YJ93KsX78e5ubmCAgIQEhICBo0aIAJEyaoNG8qafX+8+fP6NixIynlCACbN2+Gr68vCSgIjXwb7O3tyXzm8+fP2LFjB6ZOnVpmHZrSSE1NhYGBAVk8WLZsGcaPH49JkybByspKKcFQdaAOdylI6QDn5eWhTp06YFkWhoaGiI6OxpMnT3gdk/v/9PR0UnNbyhVusXn69Cm2bt2K8PBwNGrUCDVq1MCAAQOwc+dOXLlyBV27diWqyaVRHh1SRX766Sf8+uuvpKxbUU5oUYMrN8AnJycjNDQUf/31V4kiaJs2bYKWlhZvn6PQyJ/nvn37oKenB5ZlecJFQME+Un9/f0GCNZ8/f0ZISAhq1qyJefPm8SLtGRkZ+P7770nqs7J8+PABtWrVwpQpUwD8v24C8P/X/48//kDDhg3JKqg8b9++JalYqrwgy5qyy50bUDAWRUVFwdnZGQsXLizVtroOqbqIef8AYPHixahatSoGDx5Mnm3FZ8zPz4/UN1dlhVkR+d9euXIFVlZWpJqEPCtXroSPj4/KdgDl21fcM6dse6UIlshz//59NGzYEO3atePtd5UvV8cFqITKCsrLy0NkZCSqVatWyKGVd7itrKxIEJhDmeuZk5MDQ0PDMjn23DtfkdIc++Lgau5WrlwZCxYs4PUPriwZlwYsBCWpaY8fPx5NmjThOQOrV69GeHi4SgrvUjukUgcwvvaACVA29XVFTRF5ymrX3d0doaGhhT7/999/4eTkhPbt2yMnJ4c810+ePMHEiRPx448/qqzkvWHDBjRo0ACmpqaoUqUKHB0dyXv48OHDmDVrFnJycnDu3Dn8/fffSExMxNSpU7Fr1y4Ayo0xZVm9v3TpEsaOHYu9e/fi6dOn6NmzJ6Kjo/HTTz/h3bt3oi1wLV68mIwx9+7dw4YNG3D06FFERkYqVQUpKysLZ86cwYQJE9C3b1/s2bOH/C01NRWBgYH48ccfsWXLFuTl5eHMmTM4fPiwKHvwi4M63CUgtQMcExMDNzc3JCQkYPLkyahYsSLs7e2xb98+3irIhQsXeCmCqlLeHFL565aVlYVXr15h+/btaNOmDVq3bg0PDw/UqlULLMsWKqmjSHl0SOXhruvly5ehra0NHR0dXk3zsj78fn5+YFkWtWrVQlhYGOLj44sMDGVlZam8mqUM8mnVBw4cQNu2beHv709WCnNzc2FhYSHIdgjut8+ePcP48eNhbW2NefPmkQn31q1bYWhoqPJAmp6ejk6dOqFu3bo80Sz5Sf7Vq1dhZmZWaJVSVZvqpOxyf8/OzuY5riWdi6oOqRCIff84jh8/jvr168PGxqaQONGHDx8wYsQI0QIKQEENdh8fH7i7u/MUwps0aYJNmzYBUO850FT7xA6WKHL//n20bt0a9erV400Uuf7x999/w9PTk7c1QgiOHz+Ohg0bws7Ojrfikp+fj9u3b6NDhw5EQVcVpHLsi7ILFGzXmjhxIqysrDBjxgwidvnixQsYGRnh+PHjvHNRldLEy96/f4+UlBQEBQWhXbt2SEpKwuzZs1V2+DXhkEodwPiaAyZSqa//8ccfqFy5Mi8LT/65unPnDho0aFDo+J8/f8aYMWPg6uqqtE2ZTAZtbW1s3LgR79+/x+PHj2FkZESe/9u3b2PkyJFwdXXF4MGD0bdvX1y7dq1I36M0Slu9//PPPwEUBEnXrVuHUaNGwcfHByEhIQCAtm3biraHOz8/H7/99hsmT56MlStXIjQ0FC4uLjzBu7IybNgwWFhYwMDAAK1atQLLsmjXrh1P8C0hIQEdOnRA165dC5UypQ63hpHSAc7Pz8fRo0cxefJkMjilpqbC398fLMsiKCgI58+fR3JyMkxNTdWqEQmUX4e0uE4fFxeHRYsWoXv37rC3ty/z8cqbQ1oUM2fOhLW1tdJluu7cuQMbGxvExcVhy5YtqF+/PvT09BAdHY3k5GRyLZ89e4Y9e/aovX9KFY4ePQpTU1NYW1vjyZMnWLduHQwMDAS3k5GRgTFjxqB69eoYP348AMDY2Jg8J+qspk+bNg0sy2Lo0KE8B1gmk+HMmTPw9PQUPHVO3ZRdZdC0QwqIc//kAyOXL19G+/bt4eTkhIMHD5LjvX79Gq1atSKTfrGejf/9739wdnZG/fr1cfLkSSxevBhmZmZqHVOT7ZMqWKJoLyMjAyEhIWjcuDEWLVrE2+61ZcsWODs7l1q3XBmb3Pn/9ddf8PDwQMeOHXHixAnyDM6fPx9OTk6C2CuLY8+t1gpNeno6wsPDUadOHVIvffz48YK1DShZvGzLli28727evBmBgYEwNDQkqtCqOMRSOqRSBzC+9oCJVOrr/v7+MDY2JoE6+W1T3FhiZmbGe9fKX0tuvq7MOyosLIyIVXK2Jk+ejICAAN789Pbt2xg0aBB0dXXRtm3bMld1kKcsq/fyY+a9e/fw6tUr5ObmYvTo0aTksFgZEm/fvkX//v3RoUMHpKWl4dOnT+jUqZNS2cJr1qyBqakpCcYkJSVh06ZNsLOzQ8eOHUlpOI4lS5agffv2au8TVxbqcBeD1A4wUBBh4moyyj90p0+fRosWLaCjowNbW1vo6uqqbYujvDuk8oOYTCbjpemWttfqS3BIgYI9Qa6urjxRn7Jw8+ZNTJo0ibfKGRERgYoVK8LOzg779+/Hq1ev0KNHD/j5+Ql92iUifw0zMjLg6emJatWqgWVZsjddKPEWeVtbt27Fd999h8qVK6ss5sXBnV9eXh7WrFkDS0tL9OvXj6c+PnXqVHTq1EktO0UhRcpueXFIxbp/ipw6dQodO3ZE69atyUpzZGQkLC0tBbNRlKCVPMOGDQPLsmBZlqh0C/UcSNG+ohAz2FUUDx8+xPDhw2FhYYHo6Giysm5mZkZEhcQQu4yLi0Pr1q1hYWFB9mzXrFlTKdG5opDasS+JjRs3okaNGrCzswPLsiTgp+71LE28jNt7z12HrKwspKWlkWoWqtiX2iGVR4oAhtT2pAyYSKm+fvr0aTRt2hRNmzblBbrktx94enoWEkeTf26V4c2bN2jQoAF++OEHvHr1ihyD2wrGIX/sEydOkFrcyqDq6j1QIAwrX0JSqHe/vObMkSNHsGPHDmRmZvK0mkraJqAIly2gOBfKy8vDwYMH0aBBAxI0kPdt5JXKpYI63CWgCQdYHvlyKgAwa9YssCxLXhDqTtTKi0NaluOpYrM8O6Qc3DVduXIlatWqhTt37pS5rTKZjEQB5fsJFxiqUKECXF1deSn4Uu/35wbXV69eoVevXhgyZAgA4fuQ/ITs2LFjsLKyIi9PIRyarKwsLF++HMbGxujevTtevnyJDx8+oHr16iS7RehJvtQpu2I6bNz9Lu4aiX3/OJ49ewYvLy/UrFkTixYtgpaWFlEkVrW8Slng2pCZmYlx48aRFH2hn0eh21caUgVLFPnw4QPCwsJQsWJFzJw5E9HR0WjUqJEotuTb+ObNG3h7e6NWrVowMzODm5tboe+oS3GOPfdMinEf5fvhqVOn0KhRI4SHhwtiT1XxMiGR2gHmECuAIbU9KQMmmlBff/fuHfz9/VGrVi0sX76cZy8jIwNdunQRVDxs1apV0NbWhpeXFxFC1NXVJe/zkkQllbmWqqzey8P5PWLMG9u3b4+ZM2eiS5cuZL/1rVu30KZNG5LuXRa7YWFhsLW15X0mPx6vWLECLVq04M2fFL8jFdThVgKxHeCS7AJAr1690KZNG8GOq0mHVDE9Vv4zIW1oyiHl7tmjR4+Qnp5epuP6+/vj2bNnKtvMz8/n9cG4uDiwLEsmGEK/5BUHrNLamJSURFKyxSy3lpeXR1KjhR5U4+LioK+vDzs7O7i4uJDVbaHtSJ2yy6Eph1Qese6ffP+cMmUKWJZFYGCgWna4a7Jp0yayz7+05+DNmzdkv7yQY54Y7SsKxWNJFSzhkG/n1q1bUbt2bbAsSxxSsd/D2dnZGDNmDOrWrUsC8kKMZ1I79sWRm5uLP/74Q7DJtiriZWIhlQMsZgBDantSB0ykFrvjrk9SUhJGjhwJGxsbLFmyhKwK79u3D40aNeJpnAjB1atXYW5uDktLS3Tp0qXErZKq2lR19V5sdu/ejUGDBiErKwtmZmZ4+fIluQ+cWntZ7imXLdCjRw9yv4oSnNTS0sK1a9fEaIpSUIdbBcRygEsiLS0NLi4uRDRFiEFbUw4pd4x3795h7NixOHHiBO9BV1SCFgqpHFKufa9fv4aNjQ0OHTpUKLomb4/7b1paGu/36trfvHkzKlWqJPjkXnFQVhQSFBLuuGJNosuK/LV7/Pgx3N3doaWlRe6ZmAEEqVJ2xXRIR4wYgaFDh/L+JoQiuOKxSqtpy7UxPT0d8+bNU6u8IfeblJQUsCwLfX19sqJT2nmqSmnXTMj2lUZxqy9CBkvk0zeLsp2fn48NGzaQ1EepJoxJSUmkjqvQ11bRsa9Xr57ajn12djauXbuGvXv3FlkbXUykFC8r7vqI4ZC+evWqTCKyQgUwYmNjkZSUVOoxvvSAiSbV11NSUjBo0CDUrFkTs2fPBgA0a9aMCMEJFVjjxqmLFy/C29sbVapUwaxZs4od79RB6tX7snD//n38+uuvGDNmDGbNmgWgQChWla25XLaAt7d3IY0doKB8qb29falCy1JAHW4VEcMBLgmZTEZWt8RKC5Z6hZQTowoMDMTMmTNVErxQBakc0uDgYHTu3BmfP3+GTCbDo0eP8Pfff5O9m2KSk5ODIUOGkBJqQjqs3HX69ddf4eXlBQcHB4wbN66QEqlQojAZGRlYuXIlHj9+rJE0oKI4e/YsyWwR89kXK2VXCoeN+83Tp09RsWJFngbEhw8f8PnzZ6WFAouCa8vLly8RFRWFhw8fFjrfovqiug4/9ztPT0/4+voiMDAQrVu3JgJ6Um/fUETd9nHX8MmTJ4iJiUF0dDRWrVrFG6eFbmNpKrzF9UMuPVLT11xokpKSBNmyMmTIENja2qJixYowMTEpUixIzLFVajXtkhDCIb137x6Cg4Nx7dq1Qu9W+bRdobh37x6qV69eqMSmFHwLau+KLF++HNWrV0fdunVF26rCcf36dbRr1w66urrYt2+foMfW1Op9UXD9YteuXTh9+jTc3d1hZmZGhC87deqEHTt2qHTsq1evolmzZjA3N+fVTAcKrq+bmxt1uL9kpHCANYXYDinHjh078N133yE0NBTW1tbo0qULduzYgfXr18PNzU1lUYqyIKZDCgAPHjyAgYEBmdhMnjwZLVu2hL6+PkxMTNChQ4dCJV6ERrFUlRBwA/jly5dRv359TJkyBRMnToSBgQEuXboEmUxGRGkAYeoZd+vWDSzLwtnZGXv37lW57mVZePr0Ka/facLBFzpllzteZmZmoaBWSe0T0iHlRFCSk5Px888/w8DAAPb29hgxYgQRL1HXjp+fH/z8/EjWAQCyPw6AoPeVu+5xcXGoWrUqnj9/josXL6Jx48YYPHiwWsdWhDvXmzdvIiYmBitWrMCDBw+K/E5x/1YWbqxPSUlBy5Yt4ebmBisrK5ibm0NXVxejR4/G06dP1bKhiHw/Xb16NRwdHdGtWzcMHTq0UBkwoe9jSkoKzp49y+svQiOvY3D16lU8e/ZMtHerPHv37oWuri7OnDmDjx8/on379lixYgVOnTqF2NhY/PHHH6LZBqQRL7tx4wYCAgJ4astijuEuLi4IDQ0lmWtv377FvXv3ilxhEwJ7e3uYmJhAR0cHixYtQm5urqTvpq9V7b2kd+2BAwdgYmJCakELPUdUtD1w4EBUrFiRLHAJfX+lWL1XhLs33H/T0tLQoUMHAAX7tceNG4eff/4ZvXr1QseOHZU+vmK2gK+vL9zd3XHw4EEyFowcORLe3t5CNEdtqMNNKRKxHVKO/v374+7du7h48SICAwNhb28PHR0dsjIsJmI4pBwPHjyAq6sr3r59ixMnTkBfXx9Hjx7FtWvXsG/fPnTp0gW9evUSZIVPEzg7O5MXA1AwqI0bNw4uLi6wtrZG//79BandeOfOHTRv3hwxMTEICAgAy7IICAjAuXPneNcuIyNDpRIP3IuAq3tZp04dNG3atJDqanlBnZTdnj17wtHREcuWLSOpidwxFY8nVOrzuXPnwLIsmYh26dIFrq6uiIyMxNSpU+Hi4oJ27doVEuNR1s758+eho6NDyn8cO3YMffr0QVBQEAYNGsRrr5CYmJjwSqYdP34ctWvXRnh4OLKysngTAlXg+ue5c+dgY2MDXV1dODg4kNUkeYScMMkHMX744QeyCrF582ZUrlwZLVq0gIuLC5mMCrnVqFevXrCxscHIkSMxcOBA+Pn5oUmTJggMDCw1ZV9V7O3tUa1aNUyfPh33798v8Vqqcj+539y9exfBwcH47rvvUKVKFYwYMULlcy4rzZs359W1Xbp0KUxNTWFgYAAbGxvY29vzahuLiVjiZXZ2dhg4cGChz8VSq9fV1SXZPwsWLECLFi1gaWmJ5s2bE6V8odi5cyd0dHTw5s0bTJw4Ec2bNxc9WC/P1672np+fX+Q5f/r0CZcvXxbMTnFwc+vc3FxMmzYNrVq1EnXuK+XqPQfXxujoaBKYyc3NxdGjR7F8+XKsXLmSZIap88xeuXIFbm5uMDAwwPHjx5Geno7KlStLlolcGtThphSLmA4pN8BFRkaiZ8+e5POgoCBUq1YNDg4OCA8P56UwfUm8ePECDRs2xPr16zFu3DiecwoAhw4dgra2Nk/I4kvh0aNHaN26NVHQBQBra2t06NABM2bMwPr162FtbY2pU6eqbeuvv/5CaGgoUdk8f/48LC0toaWlhXHjxiEhIQG5ubkYNWoU+vbtq7IdBwcHBAcHY/PmzYiIiECVKlWwfft2tc+/JLjB/969e1i6dClmzpxZZH8XItL94cMHODk5wczMDM7OzujZsycJKly7dk2pmpfKMH36dNSqVQsjR47ErFmz0KJFC6JAChTsh69Ro4badb7nzp1LVtFjYmJgaWkJHx8fjB49Gu7u7jA3NyfXVqiVg507d0JXV5fcR24Ffe7cuTAyMuKtyqpL8+bNMXXqVLx69Qq7du2CpaUlrl69iq1bt2LFihWiTCSSk5NhbW2N69ev8z4PCAjA5MmT4e7uDn9/f0Ft3rlzBzVr1uRlYty/fx9r165Fx44d4erqSkr/CBUUOn78OExNTTF27FjUrFkTJiYmWL9+PdLS0ng2MjIyitTiUAYnJyf07dsXcXFxiIuLQ/369UVb0QKAkydPolOnTryMiEaNGmHYsGF4+vQpUlNT0alTJ9jb24se4JZHSPGyHTt2oGbNmmRL09mzZxESEoKgoCBMnz6d7LUXih07dsDHxwdAQfDCwsICv/zyC3bu3IlJkyahefPmgpSJ5ahfvz45Xnp6OlxdXWFkZERKOUm50v2lq72npaVh37592LRpE2JiYpCYmEj+pmlnDCi4vlzZUbG0IQDxVu+zsrJw5swZTJgwAX379iXq40DBfv8ff/wRurq6vD3jQgRoisoWqFKlCqpWrYpevXoBKB/3lzrcFI2SmpoKa2tr/PPPP8jJyUGNGjWwYsUKzJ07F8bGxliwYIGmT1FlVqxYAS8vL/Tu3buQMyiTydChQwdS3/hLIjc3F25ubujduzcuXbqENWvWoHr16jynbdiwYWjfvj1Z5VOVN2/e4NKlS4UGy3Xr1qF27dowNjbGuHHjwLIsiUaXdQDnzmvDhg1o0qQJbzI9aNAgEghSTIsSAq49qampsLS0hKOjIxo3boyGDRsSgSShWbduHfr164cDBw6gY8eOcHJywpgxY8CyLBEuAYSdwCUmJmL16tXo1KkTtLW1SSqbvPBOz549MXHiRLXs7Nq1i0z63N3deSt6t27dgq+vL0JCQtSyURScI6N4zQYMGAAdHR1BnO6jR4+iefPmvHRnc3Nz2NrawsrKCi1atEDbtm0LpZmry/v37+Ho6IglS5bwPtPR0UFycjKePXuGWrVqYe/evYLZ/Pvvv2FpaVnoGcjPz8fp06fh4eEBb2/vUsXxlOGXX35B7969yT0cOnQoWJZF+/btcfz4cbx//x55eXkYMGAAli9frvTxuePu2bMHjRo14mX+LF26FLa2tvj48SNPRFOoyeHjx4+xZ88eshp76tQptGrVincOe/bsQceOHQUNsJemEcGdixDiZXXr1sX69esBAOvXr0eLFi3g5uaGoKAgODo6on379iRgKwSnTp1CgwYN8N9//6FLly6kOgFQIFD1448/omXLliQrRB2mTJkCMzMzAP9/7R4/fgw3NzeEhoYSR0nqrU9fotr7mzdvYG1tjWbNmkFXVxe2trZo2bIlwsPDeTW9vwXEWr0fNmwYLCwsYGBggFatWoFlWbRr1473bjp27Bjc3d0xf/58vHz5UiU7xfV3+WyB6dOnw8rKiszrysPWX+pwUzTOwoULsXz5cgwfPhwuLi7k81u3bpGXVnkRy1KGJ0+ewN/fHyzLgmVZLF++nExqDh8+jBo1aiA9PR3Al9e+VatWwcnJCY0bN0bXrl0LrXRxDpDQKfOKkVjOYeQUsJUdVPPz8xEUFEQCO9zvT58+jUaNGvHOf8OGDST6rC7c/fb19UWPHj1IynX79u0RGxuLmTNnYvbs2di5c6cg9oCC/ekWFhZISEjA69evsXLlShgYGKBWrVqYPHmyqKKFV65cweLFi4tcbfLx8cG0adPUOv69e/dgbm6OOXPmwNfXF3/++Sfv71u2bIGzszN53tSlNIfixYsX8PHxgaenp9oT79jYWJiampKV5k2bNqF27dq4ceMGXr58iTNnzqBx48aCK83m5uaiT58+MDU1xf79+7Fjxw44Ozujc+fOAAra6uzsTFbfhBjDnj17BkNDQ8yYMYMoIMtz69Yt1KpVC+fPn1fbFkdCQkIhoZ379++jbdu2qFixIgYPHowFCxaAZVmiD6BKW4cPH44JEybwHIXnz5/z6uQCBSnKQmZ2yZ9rbm4u0cDgPl+7di3s7e1FeQeVdEwhxMuOHDkClmURFhaG+Ph4mJmZYdOmTSQ4FR8fD2NjYwQGBgravq5du2Lo0KHo1q0bcfY5bt++jTZt2pAUWXXYvn07UQeXP/89e/agatWqGDFihCgrd6VVBwDEK3dWXIq3uv3lhx9+QOfOnZGSkgKgIHtu5syZsLW1RZs2bUhKvJD95MaNGzh06JAg2+tK48OHDzh79izi4uIEq3ijDGvWrIGpqSnZnpKUlIRNmzbBzs4OHTt25C3IxMfHY+bMmVi1ahVP96A05NtT2n1KT09XqQ68mFCHm6IxuAfm2rVrqFq1KliWFTz9qzwQExMDXV1dNGzYEM7OzmjevDnZBwWUn8FAWS5duoTbt2/j/PnzMDU1JROM7Oxs2NnZISIiAoA4gz53zY4cOYJq1aqRQVtZW+/fv8eQIUMwefJk3rEzMzNhYmKCXbt2AQB+//13sCxbSIldFbh+f/nyZTRo0ICnqt2+fXs0b94c9vb28PDwgKOjIy91X13mzp3LS2GtUqUKOnXqBEdHR96eXKGQfyl++vSpkBN16NAhVK9enUxI1Okr06dPh7W1NapVq4bRo0fznqvY2FiYmZmpnRKsDDdv3gTLsmrrATx58gT29vbo1q0bevTogfr16/PUivPz89G9e3dMnDhRcKcpJycH/fr1Q/Xq1dG8eXP4+vryVto7dOiAhQsXCmZPJpNh7ty50NPTw5IlSwpNVLmx5ddffxXMJmcXKJjUy/ebw4cPw9jYGCzLktJjqir2R0dH80rjcY5Du3btMH36dADAmTNneI69OpRFP+Ddu3cwNDTE2rVryXmqw7Nnz7Bx40be+QspcqfI3bt3MX/+fHTs2BHa2tpo164dsrKyeOPIjBkz4OPjI2it9L1798LU1BQsy8LBwYG37SImJgYGBgaiB9F37twJExMTUUo6leXchQiY5OTk4PHjx4iLi8Nff/3Fy2wRcl705s0btGnTplBGYVZWFn7//XcEBATAy8tL8JVuPT09sCyLwYMH4/r162UqI6cK7969g6+vL4yMjFChQgVYWFiIpndRFDKZDNra2oiJieF9npeXh4MHD6JBgwa8ORYA/Pnnn5gyZYpSdhYvXow9e/bw5hFcv/sS5tHU4aaUCw4cOIANGzaUi7QPoZAfAD5//ozly5dj1qxZmDhxIi5evEj+9qWtbiveo3fv3sHNzQ1eXl4YMmQIPD090apVK/J3sdqXlZUFV1dX/PTTTwDU24fEiXbJTw5DQkIwevRoAAV7aLlJsVD7nVasWIHw8HDixP/zzz9gWZZE2t+9e4dmzZqhf//+atuSd/JNTEzw/v17BAcH4/vvvwcAnDhxAj179pRUxG/FihWwsLAgDpsQL8x58+ahUqVKJOth+/bt2LZtG5o2bUrS2aV4MXPXW3H/s6rH2bVrFwYMGICff/4ZISEhGDt2LPlOTk4OrKyssGrVKt5v1EVxJfbx48dkopOdnY1du3ahRo0axCkW8jmfO3cuKlWqBFdXV8TGxuLx48d48eIFDhw4gGrVqhHBJqHU2BWRf8aXLFnCExdSx6Z8YJCzPW/ePLi5uQEo0MLgVgzVGWfK8h69dOkShg4dCkdHR5XtKOLt7Q09PT0MHz4chw4dkiTAlZeXh7Nnz2LSpEnYuHEjcQC5+xQdHY327dsLbvfu3bvw8fEBy7JwdHREaGgo+vTpA0NDQ6xevZqcm6qUdg/fvXuHAQMGgGVZni6GOrx69Qq//fYbxowZg4ULF5LyUUDZAjjKMmjQILi4uEBbW5sIz82aNUtwxzcvLw9eXl7w8fEp8rlKTExEnTp1CjmF6rBlyxbY2tpi+fLlMDQ0RJ06dTB79mw8evSI1y/+++8/lUVDOXr06AE/Pz9cuHABmZmZ6NKlC9q0aSOa2LEiYWFhsLW15X0m31dWrFiBFi1aFBoPuPdJWcarCxcugGVZdOnSBRMnTsQ///zzxc2dqcNNKRcorix8TQiteFseSUxMRLdu3eDq6oopU6aItqdLnry8PJ5aqyrXkhvoi/rtmjVr0LlzZ6xZswb16tVTy05RJCUl8VJjN27cSJx6zsa8efMwcOBAQfesjh8/Hp6enqhSpUqR+7ikCnqdOHGCrBoC6l1X+XNOSUlB//79YWlpCUNDQzRt2hSTJk0SxI4yCG2HE7XauXMnOnTogCtXruD06dOYPn06jI2NBbXFUVx65+nTp+Hp6Sl4SRn5CeLt27fh5+eHihUrwtHRETo6OrC2tsb8+fNVtqnsasizZ89QrVo1sgKs6gS2pN+dPn0aDg4OWLx4MWrVqkU+V7X/XLhwAdu2bSt1T/aff/6J0NBQwRR8P3/+jIEDB8LAwABt27aFk5MTxo8fj//++w/r1q0TPCCk2Dffv39P0oU53r59C0NDQ7LPWtU2ytvJy8vj/fv3339Hr169EBQUhG7dugmiy1LWMfjTp0+YN2+e2vY4unbtCgcHB7Ru3Rq2trbYvXs3AP49E+pZ37t3L+rVq4fz588jMzMTW7duRdWqVaGjowNHR0eyLUio99Hu3bthYWGBDRs2FBkImjx5Mvr16yeIkyqTybBixQoMGTKEfDZv3jxUrVoVFhYW2Lp1K168eIH379/Dy8ur0LYEZYiPj0eDBg1I9RKgILCur6+Py5cv8+6dGKntb968QYMGDdCjRw8SoOGuIXfvkpKSoKWlhWvXrgFQbQy4ceMG6tWrh65du5I09WXLluHu3buwsbFBSkqKKEEhIaEON6VcIVVETmq4l5TU9TOlQP6FqG6ktjxx//591K5dGyzLkkmUmP1TftWLw9fXF+PGjRPUzo0bN2BiYsITKtN0sEsopVLFlYO0tDSkp6cXuydRWXJzc3Hr1i28f/++UJos91+hS5ApTiKePn0KW1tbNGjQAPXr14ebmxvZ8yvV+PnkyRPe9h91SmUlJSXxJsCKz8Ht27exevVqbN++Xe0AG8fq1atx9erVUpW5X79+rZIDJV9zuzSysrJIejKn2aDOfaxTpw5YlkX37t1x7ty5EmuLC61MHh8fj0GDBuHZs2eIjIyEg4MDPD09wbIsyUQSAvn+wVUHUOTixYsYMGAAWrdurZat4gIYikFQxbFF7ICJvMheUfaVZd++fahfvz6ePHmC3NxcjBkzBuHh4di4cSPCw8MFL3fWpUsXREVF8T4bP348+vfvDx8fH3h5eQkiPMeRk5ODsLAwsCyLkJAQxMfH8zK6/P390adPH8HsPXr0CJcuXeJ99v79e/Tp0wcsy8LX1xfDhw9HlSpV1Lp3K1euhL+/P9Fm4PDy8uKp5f/yyy9YunSpynZKYtWqVdDW1oa3t3eRtejj4+Nhb2+P27dvq2Vn9uzZ2L9/PxITExEaGgpHR0eYm5ujTp06ePr0qVrHlgLqcFM0CvdAvnv3TrT9LZrkW2lfRkZGkSJHyiKlQ1PaS+7169cwNzcXNOWyNOQnaZywnhD7mxWPHx8fr5RYSVkpD/evuAm4qnAT2gMHDsDf3x+VK1dGo0aNsHXr1kLfTUtLg6WlJYKDg9V2fku73wcPHsSxY8cE2e8rNfL1xU1MTLBkyRIkJyfz7ltRASh14O7jhg0bwLIsjI2NERUVVciuIursP161alWJjr1MJkNubi769u0LS0tLpY+vyIYNG+Dk5IRt27bBysoKWlpaGD9+PBISEngO4t27dwUvBSiTyZCVlQV7e3ts2rQJQEHQq1mzZtDW1kZQUBA2bdqkthp6cQ6p4v05fvw4AgMD8b///Q+A6kHFkgIY+fn5gge5lAmYCElAQACvWsXOnTtRu3Zt2NjYICQkBKamphg1apTa73numvXq1QvDhw/n/a1t27aIjo5GSkoKGjZsyDsfoThx4gQsLCygpaWF0NBQDBgwAIGBgahXrx5SU1MBCLeqLh/ole8n//vf/9C6dWuwLEv0KFTtR+fPn0ePHj3I77nnfObMmXB3dwdQkPXFsiz++usv3nkJydWrV9GsWTOYm5sXEqG8fv063NzcVHa4ufM9fPgwbG1tyTOxcuVKVKhQAc2aNUNYWBgOHjxYrrelUoebIgryqbpnz54tVWxq7ty5qFOnDm9vc3mGto8P1z5OUVUZpHJoyvKSURysP336RJStpcy+WLNmDVq3bo1FixYBUC99VmzK8/1TF+54Hz58gL6+PiZNmoTz589j5syZqF69On7//Xfe91NTUzFt2jSykqDMxEYT7ZNHE6v3bdu2haGhIapVqwZbW1vs3bu30EqNkNkXMpkMbm5umDFjBiIiIlCpUiW0bt26kN28vDyVxQq5e7Ru3TqlHHsusKbqOJOXl4c1a9Zg5MiR5DOufKKhoSFWrVqFlJQUvH79Gs7OzoILz3EcPnwYnp6eAAoynipVqoTp06fDz88PhoaGRMVYVZRxSLkgt6oORlkDGPfu3UNycrJKNjRpD/j/DJpBgwbBy8uLlGoyNjbGpEmT8PnzZ+Tm5mLhwoUwMjISLMAXGRkJU1NT/PPPP7h9+zZWrVqFSpUqkfdtaGgoBg0aRM5RWbKzs3Hp0iWMHz8eu3bt4u1HB4Bt27bB29sbXbt2xejRo0nGjtjb4LjxYfz48bCxsRHsuAD//XD+/HnUr18fb9++RXBwMLy9vQt9RwjkM7AuXrwIX19fuLu74+DBgyTQOHLkSGJfXbp160bmRZ6enujWrRuWLVsGa2tr+Pn5CWJDLKjDTREF7qHmyjaNGzcO8fHxRe5FlclkOHr0KEJDQwVNIRIT2j7+d1Vtn1QODfe93NxcxMXFITQ0FLNnzyYOhOJxfv75Z+zbtw+AZtKt//77b576c1na+TU7pKrcv9jYWDVaxrc7atQoeHl58f7WrVs34tzI9xH5cxGrfQsXLlTbcQE0t3oPFKzyODs749y5c0hPT0dAQABYlkVAQADOnj1L0sxv3bqFcePGCbLS9/DhQwwZMgR79uwBUFA6plu3bsTuuXPn8PnzZ+zYsQPW1tYqr+Yp49ifOXOm0HYIVXny5AnRz5Dnxx9/BMuyaNu2LXr37o2aNWuqbas4Pn78CC8vL9y+fRve3t4IDg4mn69du1at1TUpV/ClDmBoOmCyY8cO2NjYwMHBAd7e3qhXrx7PuU5MTIS1tTXOnTsniL3MzEzyzBsYGMDU1BTbt28nf58xY0ahcqPKMHLkSFhZWaFZs2aoWLEiunbtWuQzJmTmYVpaGmJjYzFp0iScPHmSfK7Y5x89eoSqVauSlWAxgvlv3ryBk5MTpk+fjgoVKuDZs2cAxJ/PXLlyBW5ubjAwMMDx48eRnp6OypUrq6UVIe/UHz16FIMGDcLx48dRo0YN8o58+PAh2SNeXle5qcNNEY2UlBQYGxujf//+aNiwIfT09BAdHY0nT54U2oOVm5tbSGihvEPbV4A67ZPKoZGPKltZWcHd3R26urowNzcvpPD6/PlzeHt7o1mzZuVCU6As1/Nrd0g1ef9evXqFDh06kP213Dnv3r0bLVu25LVl+vTpZGKjDJpon5Sr90WRlJSEVatW8cR+Lly4AEtLS+JI3bhxA46OjoLtrfz8+TOuXbtGVvE4zp8/T+yGhYWhbt26RMBQlfGac+w50anSHHsx1LwV052Tk5PRrl07sCxLAg5Cj2/ctfrll19QsWJFVKlSpch61KpcU004pFIHMDQZMMnJycH69esxd+5cxMXFwdzcnAiXAQWq2wYGBoLMX+TfBzdu3MD+/ft5K/bp6em8cnXK2jx16hTq1q1LMu6SkpJgbGzM6xNizMM8PDxgaWkJMzMzsCxLKmMo8u7dO5JBo8p5KK7ecxmIisfi9ovPnTsXgLjOtuL7YODAgahSpQqqVq2KXr16CWY/IyMDrVq1AsuymDp1apG2yyvU4aaIxqFDh+Dt7U0G0kmTJqFixYqwt7fHvn37SIrPkiVLEBYWpslTVQnaPmHaJ7ZDwx3v5s2bqFmzJk/IxNXVladgzXH37l3B1Hs5xEzZ/ZodUk3fv4yMDPTp04coHXPnk5qaigYNGhCl+VmzZvHU7MuKptonVbCkJOT1CeQni+vXr0fdunVRo0YNaGlpkbFG6EmyouL0r7/+CpZl0bx5c/KZKu1UxrHnJo1iBWJlMhm5hyNGjICTk5Ogxy7u85EjR5LyWIAw/UWTDqnUAQwp7RV1H0NDQzF48GAcP34cq1evRtOmTdUud1aS2jvHw4cPERYWppbYnbe3NyZMmADg//c0jx49Gm5ubrxsksePHwsW7JowYQJcXV2RmJgIoGAPvJ6eHu7duyfI8eUpbfVevpykkZFRoc/FhOuTubm5mD59OqysrMg1VmaMKy5bACjYLx4REUG2H3wpUIebIhr//fcfDhw4wBNnSktLg7+/P1iWRXBwMHbs2AGWZUn67pcSqQJo+4Rqn9gODUe/fv0wePBgAP//El67di0MDQ3x4cMH8jJITEwULPVfipTdr90h5dDE/ZNH/p5wtjw9PbFgwQK8fPkSNWrUwLFjxwp9t6xoon1SrN4rg/x1e/nyJSpUqIDly5cX+pvQcM/A69evUb16dRw9elRQm2I59srw4MED1KxZk6ysqfvcFydeJi+kKeY908QKPiBuAENqe4oOsDwnT56EoaEhdHV1YWFhwatqoQql9ReOpKQk7N69Gw8fPizyvEojOTkZnp6ehd6x//zzD5o1a0a2dDx48AD29vaC7El/9eoVTExMcOTIEQAF/e7jx4+ws7MjpS+55/vBgwdqBdfKsnovD7ePWhPZeunp6bhz5w4A5e9jcdkCXHq5VGKCQkIdboqocA95Xl4e74E7e/YsSQvhBFa+RGj7hGufmA7N69ev0b17d8yZM4f3eUpKCpo2bUr2/jx//hxGRkbkJaEOUqfsfs0OqSbuH0dJtdojIyOJuA+nCKuK46Sp9kkVLFEWmUyGadOmoXr16uQzsR3S/Px8TJs2Da1atRLNhrxjr6WlJbhjXxJZWVlkdViI1XRNqWkrIrUDzCF0AENqe2VVez99+jRevHhB3imq9h1l+ou6/XPdunX4+++/Afx/ez59+gRzc3PExcUBKFgF79y5M+87qvLXX3/B2dkZN2/e5H2+cOFC+Pj4kH9v3LgRQUFBatkq6+r9w4cPRalEcufOHURFRWHz5s2FsueEGqOlzBaQEupwUyQlLy+PPJSXLl1CxYoV8eDBA/K3Lx3aPuWRwqEBCiLDnMMnfwwPDw8sW7YMABASEkLKgKn78pAyZfdrd0gB6e9fSXDHvnDhAliWReXKlcl2AFWfA022T+zVe1XOZ+nSpTh+/LhkNoGCFFNuBUys8VoKx14RodPVyypedv/+fcHUtEtDagdY6ACG1PZKc4CLEkhVFWXU1//77z/B7HJwNoKCgogieeXKlfHmzRsA6l/PDx8+IDIykmwh4cbmy5cvo3Hjxvj48SM+ffqE2rVrq7wvHdDM6r08R48ehY2NDZo0aQIdHZ1ihejUQdlsgS8pa5Q63BSNkJWVBTs7OwQEBAD4OpxReWj71EMMh0YRbhI/bdo0dOrUCbdu3QLLskTdVgg7Uqbsfu0OqSJS3L/SSE1NhZ6eHkaPHi24TSnaJ1WwpCibxcHZKK52tVhIKWb5+PFjsrKozn188+YNEhMTkZmZCaDo+yP0pFvTatrFIaUDLLXwqaYCJnfv3lU7YCJ1fynqGeA+W79+PZycnGBkZIQpU6YAED6Yx9mSyWTIzs6GkZER/vzzT0yePBlWVlZqH1/q1Xt5jIyMMH/+fMhkMty4cQNOTk64ePEili5disWLF5Oa9+ogZbaA1FCHm6IRsrOzsWvXLrXTlMortH3CIKZDw3Hq1Ck0a9YMjRs3xrBhwwS1o8mU3a/dIeUQ8/6VBfkJjRjPgdTtEzpYoolydfI279y5g4yMjEJjFffflJQUQW2XhlBtnT9/PlxdXcGyLOzt7Yuc7P7555+oU6cO2aYiFOWh/Jg8Ql1TqQMY30rApLz0l4SEBLAsCzMzM/KZEA5pUcfg+uTAgQPh7e2NSpUqkX3XQo7fYq/ec0RHR6NVq1a8gEzDhg3h4OCAli1bwsHBAUFBQYWEIpVFqmwBTUAdborGUFRo/tqg7RPWDiDOwJqRkYFatWqhVq1aotnRZMru1+6QSnH/ioO7jmI+A5pqnxDBEk2Uq5NXIO7bty9RO+f2PSoSEhICMzMzlbJLNOXYHz16FI0aNcLSpUvx77//wt/fH8bGxnj27BnvnG7cuIEhQ4bg7Nmzhc5XKMQUL5PSIZU6gPGtBkw0JXYHFIwNo0aNwuHDh0W1I8+mTZvAsixGjBgBQL2xW1Or9zk5ORg6dChWrlxJxtd58+bBwMCA9KO4uDhUqFCBZPMJgdjZAlJDHW4KhVJuEduh4Y67ZcsW7Nq1C4CwL2FNpOwq8jU7pGLfP02j6fapGyzRZLm6tm3bonv37jh06BD27dsHHR2dQnVbP378iA0bNvBW+8oKd4xHjx6J7tgr0qpVK8yfP5/8Oy0tDS1atCiyWoRUqflCi5dJ6ZBKHcD4VgImJSFkfylLyU0us0sq5LPZ/P39BV9xVkSs1XvuOP/88w+uX78OoKAN/fv3x44dO8h38vLyEBgYSFad1bGliFTZAmJDHW4KhUKRECn2Nyva+lodUop4qBss0US5Om5iFhsbCz09PVK/GwAWLVoER0dH5OTkFDr2p0+fVLYptmOvyPnz59GmTRvcvn2bZ2Po0KHo378/+V5iYiLmzZsn+V54IcTLpHZIpQ5gfAsBk7Kibn9RpuRmt27dkJOTI4gjWpbsC8WsFjGdQylW7+XbmJ2dzfvb27dv0bx5c1FL4AqZLaAJqMNNoVAoGkCK/c0UiqbRRLm6ESNGYNy4cbxnKiUlBYaGhqTUDAAsXbqUOGvKwE0mOceeUwcGgKioKFEce474+Hi0b9+erPhyE+uDBw/CwMCAXEMHBwf06dNHZTuqIoR4mZQOqdQBjG8hYKIM6vQX+ZKbFy5cEK3kpiLKZF9ERUWpZas8rt5zyF/HKVOm8IRgxbAjVbaAWFRgKBQKhSI5enp6TEpKCrN8+XKGYRiGZVkNnxGFIixv3rxhPn78yBgZGTEMwzCVK1dmGIZh/Pz8mCpVqjD3799nKlSowKSnpzNeXl7MkydP1LaZm5vLGBkZMe/evWMqVqxIPtPX12eMjIyY7du3MwzDMFeuXGHGjRtHzk0ZuGf1jz/+YHr16sXo6OiQv/Xu3Zt5/vw5899//xH7y5YtY86dO8dUrVqVYRiGfK4KlpaWzJEjRxgbGxuGYRimUqVKDMMwjKOjI1OxYkXm8ePHzIEDB5iEhARm48aNDMMwTH5+vsr2lCE/P5+pXr06Y21tzTAMw1SooPwU88KFC0z16tUZf39/hmEYBgCjq6vLuLu7M0ePHmUYpuD6P3jwgJk/f77a56yjo8NUq1aNyc3NZRiGYWQyGcMwDOPt7c3ExcUxmZmZDMMwTJ8+fZiEhASmSpUqX5Q9ZdHX12fOnTvHuLi4MPn5+Wr11dJQt79EREQwLVu2ZBYuXMi4uLgwM2bMYDp16kT6CXdt9fT0mNmzZzNjx45V+5yPHTvGrF69mgkODmauX7/O6OvrMwEBAUxKSgoDgHyvQYMGTFBQEOPk5MQwDMP7W1k5ePAgExQUxNjZ2TEWFhZk7OLGH5ZlmefPnzP+/v5MQEAAk5ubq5Kd4nj+/Dlz+PBhJiIigjl16hT5nLPBsizz4cMHJioqitm5cyezZs0ahmH+/7qXlbdv3zIPHjxgsrKyeMfnYFmWSU1NZfT09JjY2Fimdu3ajEwmU2l80Sia9PYpFArlW0UKwS0KRdNoqlwdt+osk8nIMWfPng0PDw8AgKOjI0nxVmUVLycnBwsXLsSgQYN4nwGAu7s7ZsyYAaBAXZdlWcHqC5e0quPp6Ylly5ahWbNmWLBgAQBhUkulFC/TxAp+UZkVXEbEzZs3sX//ftSoUYOk0QpRt1lKe2XlS1J7l7LkpjxSZV9oavVeHg8PD1haWsLMzAwsy2L27NmFvvP582csX74cK1asUMm+lNkCmoY63BQKhUKhUCRB7HJ1JU34Tp48CQcHB6xduxbVq1cXpNKC2I59WeCOu3DhQrAsCxsbG8GOrQk1bSkdUqkDGF97wESq/lJcyc20tDTRSm5KuR1g1KhR8PLy4n3WrVu3IscS+fsplMM9YcIEuLq6ki04O3fuhJ6eHu7du1fk9+UVxctKeRIPlALqcFMoFAqFQpEUTZSr+/DhA0xNTcGyLKkvrKpDI7VjXxZOnz4NlmURFxcHQH1nTRMTYk04pIqIGcCQ2t7XrPYOSFtyU6rsC02t3svbNzExwZEjRwAUtPPjx4+ws7NDZGQk75zu37/PCzYqQ3kUDxQT6nBTKBQKhUKRFKnL1clkMuTm5qJHjx4wNTUVzQ4grGOvLC9fvgQgjHNfXibEUjvAHEIHMKS29zWrvWuq5KYU2ReaWL2X56+//oKzszNu3rzJ+3zhwoXw8fEh/964cSOCgoJUslHexQPFgDrcFAqFQqFQJEPT5epevXolmk0pHfuibAtFeZwQS+0AA8IGMKS29zWrvReF2CU3pc6+kHL1Xp4PHz4gMjKyUF+8fPkyGjdujI8fP+LTp0+oXbs2qbut7NhT3qstiEElTYu2USgUCoVC+XbgVHZDQ0PJZ5zatpjk5+czFSpUYOrUqSOazQoVKjAVKlRgdu3axWRkZDAMwzB5eXmStE9I1d6i1LQrVarEeHt7M2FhYUxmZiajra3N9OnThzE3N5dETbtdu3bMixcvmHr16jEARL+m+fn5TL169RiGkaaKhJD2SlN7DwoKImrve/fuZSZMmKCWvfLQX7hr1qRJE0ZXV5cJDg5mjI2NGZlMJojaelHPF3dsT09PJjw8nLG2tmYiIiIYhlF9fOHGKflz5my7uLgwCQkJTEREBNO6dWvGx8dH8GdBW1ubmTVrFsMwBf2GZVkmPz+fadWqFVOhQgXm/PnzzKlTp5jGjRszw4YN451fWeGqLWhrazMMU3S1hYcPHzIJCQnM2bNnGYb5/+vypUIdbgqFQqFQKF893GRNbOdJCsdebMrjhFhqB1jqyf2XHDApT/2FK7kpXz5LLDinuE2bNgzDMExUVBTDMOoF2YoapzjH9/vvv2fc3NyYSpUqMYmJiQzDMIKXb+NsKZ5DtWrVmI4dOzJLly5l4uLimHPnzjEMw6gU0MjPzyd9RR59fX3G3NycOXXqFLNmzRpm2rRpTLVq1SQLWorJl332FAqFQqFQKOUIqRx7MSmPE+IveXVLaqR2gMtTf+EcQM5xlKLfiJ19IfbqfVG25OGuoZubGzNo0CBm+PDhTJs2bVR29qXKFihPfPktoFAoFAqFQqEIxrc4If6akNoBLk/9hXMApQx4SZV9IeXqvTxc8KJz586Mn58fM3/+fMFtiJEtUJ6g4UIKhUKhUCgUSomUNCGmlC+Kc4AZhiEOsJaWlqgO8LfUX6TKvpDJZAzLsgwAQe2+ffuWefDgAZOVlcUwDEOOz8GyLJOamsro6ekxsbGxTO3atRmZTCZKu7lsAU9PT0m0GqSCOtwUCoVCoVAolDLxtU6Iv3Y05QDT/iIcYqzeL1iwgPH19WWaNWvGtG/fnrlx40ah48fFxTFWVlbM4sWLC52L0Eit1SAV1OGmUCgUCoVCoZSJr3VC/K0gtQNM+0v55dixY8zq1auZ4OBg5vr164y+vj4TEBDApKSk8Fa5GzRowAQFBTFOTk4MwxReAReSr1WrgYWYV41CoVAoFAqFQqGUC7708koU4bC2tmZ69uzJTJ48mWEYhnn+/Dnj4eHBzJkzhwkKCuIplufk5EhS/u9rhT5xFAqFQqFQKBTKNwB1tikMU3qtdoZhSK12MUTSvjXoU0ehUCgUCoVCoVAo3whF1WpnGIbx9vZm4uLimMzMTIZhGKZPnz5MQkICXd1WE5pSTqFQKBQKhUKhUCjfEJmZmYXKx6WmpjLOzs7MkSNHmIcPHzJ9+/ZlXr16xVSrVo1uR1ADKhVIoVAoFAqFQqFQKN8IUtdq/9ahYQoKhUKhUCgUCoVC+UYoD7XavyWow02hUCgUCoVCoVAo3zCaqtX+LUD3cFMoFAqFQqFQKBQKhWEYhnn16hVTr149XmkwiupQh5tCoVAoFAqFQqFQKFQcTQSow02hUCgUCoVCoVAoFIoI0PAFhUKhUCgUCoVCoVAoIkAdbgqFQqFQKBQKhUKhUESAOtwUCoVCoVAoFAqFQqGIAHW4KRQKhUKhUCgUCoVCEQHqcFMoFAqFQqFQKBQKhSIC1OGmUCgUCoVCoVAoFApFBKjDTaFQKBQKhUKhUCgUighQh5tCoVAoFAqFQqFQKBQRoA43hUKhUCgUCoVCoVAoIkAdbgqFQqFQKBQKhUKhUESAOtwUCoVCoVAoFAqFQqGIwP8B0pY7fKoBrIMAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(10,5))\n",
    "permutation_importances.plot.bar(\n",
    "    color=\"palevioletred\", yerr=result_permutation.importances_std, ax=ax, capsize=3, rot=60\n",
    ")\n",
    "\n",
    "ax.set_ylabel(\"Mean decrease in F1 score\", fontsize=12)\n",
    "fig.tight_layout()\n",
    "ax.set_axisbelow(True)\n",
    "\n",
    "plt.savefig(os.path.join(\"fig\", \"permutation.png\"), bbox_inches=\"tight\", dpi=600)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cd0cf768",
   "metadata": {
    "tags": []
   },
   "source": [
    "### Drop Column Importance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "b172dff7",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████████████████████████████████████████████████████████████████████████████| 32/32 [22:05<00:00, 41.42s/it]\n",
      "100%|██████████████████████████████████████████████████████████████████████████████████| 32/32 [21:34<00:00, 40.46s/it]\n",
      "100%|██████████████████████████████████████████████████████████████████████████████████| 32/32 [21:23<00:00, 40.10s/it]\n",
      "100%|██████████████████████████████████████████████████████████████████████████████████| 32/32 [21:56<00:00, 41.14s/it]\n",
      "100%|██████████████████████████████████████████████████████████████████████████████████| 32/32 [21:15<00:00, 39.87s/it]\n"
     ]
    }
   ],
   "source": [
    "def _drop_col_feat_imp(model, X_train, y_train, X_test, y_test, benchmark_score, random_state = 56):        \n",
    "    '''Calculate drop column importance for every feature in X'''\n",
    "    # list for storing feature importances\n",
    "    importances = []\n",
    "    # iterate over all columns and calculate feature importance (difference between benchmark and new model)\n",
    "    for col in tqdm(X_train.columns):\n",
    "        # clone model\n",
    "        model_clone = clone(model)\n",
    "        model_clone.random_state = random_state\n",
    "        # drop column and re-train model\n",
    "        model_clone.fit(X_train.drop(col, axis = 1), y_train)\n",
    "        y_test_pred = model_clone.predict(X_test.drop(col, axis=1))\n",
    "        # compare score to benchmark score\n",
    "        drop_col_score = f1_score(y_test, y_test_pred, average='macro')\n",
    "        importances.append(benchmark_score - drop_col_score)\n",
    "        \n",
    "    return importances\n",
    "\n",
    "# drop column importances\n",
    "res = []\n",
    "\n",
    "for i in range(5):\n",
    "    result_dropColumn = _drop_col_feat_imp(\n",
    "        rf, X_train, y_train, X_test, y_test, random_state=i, benchmark_score=f1_av\n",
    "    )\n",
    "    res.append(result_dropColumn)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "67a7116c",
   "metadata": {},
   "outputs": [],
   "source": [
    "drop_importance = pd.Series(np.mean(res, axis=0), index=FEATURES_SIMBOL)\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(10,6))\n",
    "drop_importance.plot.bar(color='palevioletred', yerr=np.std(res, axis=0), ax=ax,capsize=3, rot=60)\n",
    "ax.set_ylabel(\"Mean decrease in F1-score\", fontsize=12)\n",
    "fig.tight_layout()\n",
    "plt.yticks(np.arange(-0.003, 0.016, 0.003))\n",
    "\n",
    "\n",
    "plt.savefig(os.path.join(\"fig\", \"drop.png\"), bbox_inches=\"tight\", dpi=600)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "773a6b91",
   "metadata": {},
   "source": [
    "### SHAP Feature Importance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "4ab3e754",
   "metadata": {},
   "outputs": [],
   "source": [
    "classes = rf.classes_.tolist()\n",
    "explainer = shap.explainers.Tree(rf, feature_perturbation=\"tree_path_dependent\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "90782a23",
   "metadata": {},
   "outputs": [],
   "source": [
    "shap_values = explainer.shap_values(X_test, approximate=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "83f32a75",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x900 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "\n",
    "# visualize shap summary plot of mean importance\n",
    "shap.summary_plot(shap_values, feature_names=FEATURES_SIMBOL, class_names=classes, plot_type=\"bar\", color=plt.get_cmap(\"Set2\"), sort=False, max_display=36, show = False)\n",
    "# shap.summary_plot(overall_shap_values, feature_names=FEATURES_SIMBOL, color='palevioletred', sort=False, plot_type=\"bar\", max_display=32, show = False)\n",
    "\n",
    "plt.gcf().set_size_inches(6,9)\n",
    "plt.xlabel(\"mean(|SHAP value|)\")\n",
    "plt.xlim([0,0.3])\n",
    "\n",
    "plt.savefig(os.path.join(\"fig\", \"shap.png\"), bbox_inches='tight', dpi=600)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "726e8c31-d24d-4b47-8151-06413ea28772",
   "metadata": {},
   "outputs": [],
   "source": [
    "classes_dict = {\n",
    "    \"Bicycle\": 3,\n",
    "    'Boat':5, \n",
    "    'Bus': 2, \n",
    "    'Car': 1, \n",
    "    'Train':4, \n",
    "    'Tram':6, \n",
    "    'Walk':0, \n",
    "}\n",
    "classes_dict_ivt = {v: k for k, v in classes_dict.items()}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "9b19823b",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Summary Plot for Class Walk\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 500x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Summary Plot for Class Car\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 500x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Summary Plot for Class Bus\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 500x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Summary Plot for Class Bicycle\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 500x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Summary Plot for Class Train\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 500x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Summary Plot for Class Boat\n"
     ]
    },
    {
     "data": {
      "image/png": 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qDw8Pffnll5Kkc+fOKScnR5s2bbLdonnrrbcqzOBkZGRo8ODBevDBByWV3Xbq1KmTDh06pM6dO2v27NmKi4vTjTfeKEkaNmyY4uLilJ2drebNm2vu3LmaM2eOLYjcfffdSklJsYUXi8WiiIgIdejQQc2aNdP333+vfv366eDBg8y8AAAgB4aXPXv2SJJycnIUGxtbYX+vXr1s4cMR9f/0pz+pSZMmWrhwof7xj3/I29tbffv21RNPPFHpI9S/V77eZfv27dq+fbvc3Nzk4+OjwMBAdevWTQ8//LAGDhxY6cxPRkZGhXB08uRJNW3aVJs3b1ZBQYGeffZZu/0XLlyQt7e3tmzZIh8fH7sFwHl5efL391dISIisVqv27dunKVOmSJKioqKUnp6uwMBASVLHjh0ve14AADQEDgsvsbGxlYaOyrRs2bLCOpDq1C8XExOjmJiYatWRpFGjRl32UwWXUlxcrMzMTFuYkMqeAjp16pRuvvlmrV+/XjfddJNtNuliP/zwg5o0aWK3bfXq1bb1LkeOHNG5c+dsszJRUVF67LHH1KVLF7Vv357FugAAqBbesHstOXTokKSywFFSUqIDBw4oNjZWkydPlp+fn7p06aK9e/fqhx9+kGEYOn/+vHbt2qXs7GxJUrt27XTgwAHt2rVL58+f1+LFi5Wenm63WDckJEQ+Pj6Sym5J+fr6atGiRdwyAgDgfxw289IQ7Nu3TwMGDNCFCxcUFRWlgIAAjR07Vvfff78kKSwsTNOmTdObb76pvLw8eXl5qVOnTraPRPbo0UNjxozRk08+qcaNG2vAgAEKDg62Cy8XL8qNiorSxx9/bFtjAwBAQ+di8N77Kps5c6YaNWqkxx9/vK67UjUZPeu6B4AU9mNd9wDANYbbRtWQkZGhDh061HU3AABo0Agv1bB//37dcMMNdd0NAAAaNG4bXcu4bYT6gNtGAByMmRcAAGAqhBcAAGAqhBcAAGAqhBcAAGAqvKTuGpb478c0ceLEy35hGwAAs2HmBQAAmArhBQAAmArhBQAAmArhBQAAmArhBQAAmArhBQAAmArhBQAAmArhBQAAmArhBQAAmArhBQAAmArhBQAAmArhBQAAmArhBQAAmArhBQAAmArhBQAAmIqLYRhGXXcCTpLRs657gNoS9mNd9wAAag0zLwAAwFQILwAAwFQILwAAwFQILwAAwFQILwAAwFQILwAAwFQILwAAwFQILwAAwFQILwAAwFQILwAAwFQILwAAwFQILwAAwFTcq1shKytLq1ev1nfffafs7GwVFxcrJCRE0dHRGjNmjBo1alSldpKTk2WxWGSxWHTs2DEFBwdr5cqVlZb95ZdflJCQoG+++Ua//PKLAgMDNWjQIE2ZMkW+vr5VOl5BQYEGDRqk33+H0svLS4GBgerSpYvuuOMOhYeHV6ktAABQd6odXlJTU7VkyRKFh4dr2LBhcnd319atWzVv3jylp6crOTlZ3t7eV2xn7ty58vf3V6dOnXTmzJlLlvv11181YcIE5eXl6d5771WHDh108OBBLV26VNu2bdOCBQuqdDyLxSLDMBQdHa2IiAhJUlFRkY4ePap169Zp3bp1GjJkiF555RW5ublVfUAAAECtqnZ4iY6O1oQJE+xmPEaOHKnQ0FAtWLBAqampGjVq1BXb+fzzzxUSEiJJGjVqlM6dO1dpueTkZB0/flyvvvqqhg0bZtvevXt3/fWvf9XChQv18MMPX/F4FotFkjRkyBBFR0fb7Zs6dapefPFFrV27Vt26ddPYsWOv2B4AAKgb1V7z0rVr10pv1dx2222SpAMHDlSpnfLgciVbt26Vl5eXhg4dard9yJAh8vLyuuStpouVh5fOnTtX2Ofp6alp06bJxcVFK1asqFJ7AACgbjhswe6JEyckSQEBAY5qUpJ0/vx5eXl5ycXFxW67q6urvLy8dOzYMeXn51+xHYvFIl9fX7Vq1arS/c2bN1fz5s2VmZkpq9XqiK4DAAAncEh4KS0t1fz58+Xm5mZ3a8cR2rdvr9OnT2vfvn122/ft26fTp09LknJyci7bRmFhoY4cOaKwsLDLlnN1LRuO3y/qBQAA9YtDwsvMmTO1a9cuTZ48WW3btnVEkzajR4+Wq6urpk+fro0bNyonJ0fffPONpk+fLnf3siU7RUVFl20jIyNDVqu10ltG5QzD0KlTp9S0aVMW7AIAUI9ddXh5//33lZKSohEjRmjSpEmO6JOd3r1765VXXtHZs2f19NNP64477tBf/vIX9erVy/Zoc+PGjS/bxt69eyVJnTp1umSZgwcPqqioSD179nRY36tq//79uvXWW1VaWiqr1aqBAwcqIiJCxcXFtjK7d+9W//797bYBANAQVftpo99LSEjQggULNHz4cL3wwgsV1qU4ytChQxUdHa2DBw+qsLBQrVu3VmBgoB566CG5ubkpNDT0svUvt1i3XGpqqqSyhcCXUlJSYpvtcaQdO3aoc+fOcnNz0+HDh1VUVKRWrVpp06ZNtse6LRaLOnToIE9PT4cfHwAAM6nxv8SJiYlKSkpSTEyMXn75Zdt6EWdxd3e3mzk5efKk9u3bp969e1/xPS979+6Vl5eX2rRpU+l+i8WipUuXKiwsTFFRUbbtGzZs0DvvvKPbb79dy5cvV5s2bfT+++9LKnvU+1//+pdOnDihNm3aaPr06erSpYuKior02muvadu2bTp9+rRCQ0P1/PPPq3v37rZ2U1NT9eGHH+rkyZMaMWKEfvnlF3Xt2tXW19atW2vIkCFat26dXXjp0qVLzQYPAIBrSI0SR1JSkhITExUTE6PY2NhLBpeSkhJlZmZecUFtdVmtVs2cOVNWq/WKt6qKioqUlZWljh07VrqWZePGjXr88cfl6emp119/3W72qPztvz4+Plq+fLneeecdSdKiRYu0aNEivf3221q/fr1iYmL07LPPymq12t7km5KSoq+//lq9e/fWzJkzbW0uWbJEycnJeu2117Ru3ToVFxcrPT1d3bp1k1QWXjp37qzo6Ght2LBBFy5csNsOAEBDV+2ZlyVLlighIUFBQUHq16+f1qxZY7c/ICBA/fv3l1T2+PTIkSPVq1cvJSYm2pVbtWqVjh8/LknKz8/XhQsXNH/+fEmSr6+vHnjgAUllTwqNHz9ekZGRatWqlQoKCrRmzRrt3btXjz32mPr06XPZ/mZkZKi0tFQeHh768ssvJUnnzp1TTk6ONm3aZLsd89Zbb1VYbGyxWDRs2DCNHj3atu306dNKSEhQQkKC2rVrJ0m68847NWvWLOXl5alFixZ2sze33XabNmzYIKnsEwVz587VnDlzbEHk7rvvVkpKii28WCwWRUREqEOHDmrWrJm+//579evXTwcPHmTmBQAA1SC87NmzR1LZ48mxsbEV9vfq1csWXi5nxYoV2rZtm922+Ph4SVJwcLAtvHh4eOiGG27QmjVrdPLkSXl7e6tr165677339Mc//vGKxylf77J9+3Zt375dbm5u8vHxUWBgoLp166aHH35YAwcOrHT2aN++fZo+fbrdtp07d8rf399uFiQ/P19ubm4KCAjQxo0btWjRIh06dEjnzp1TaWmpLWBt2bJFPj4+douC8/Ly5O/vr5CQEFmtVu3bt09TpkyRJEVFRSk9PV2BgYGSpI4dO17xfAEAuNZVO7zExsZWGloq07JlS23ZsqXSfRfPxFyKh4eH3njjjap2r4JRo0ZV6XMFF8vPz1dubq5uvPFGu+2nTp2Sn5+f3bb169frD3/4g/bs2aNXXnlFr776qnr06CFPT0+99NJLthfj5efnq0mTJnZ1V69ebVvvcuTIEZ07d84WjKKiovTYY4+pS5cuat++PYt1AQCQA9+we62xWCwKDg6uEDa6du2qw4cP66efflJJSYnS09P14Ycf6qmnnpLFYlGTJk3UrVs3Wa1WLVy4UGvWrLEtNG7Xrp0OHDigXbt26fz581q8eLHS09PtFuuGhITIx8dHUtnTUb6+vlq0aBG3jAAA+B/HP/d7jbBYLJUukO3QoYOmTZum5557Tr/99ps6duyomTNnqnv37mrdurXWr1+vIUOGqEWLFho3bpwMw7C106NHD40ZM0ZPPvmkGjdurAEDBig4ONguvFx8zKioKH388cd68MEHnX/SAACYgIvBu/CvXRk967oHqC1hP9Z1DwCg1nDbCAAAmArhBQAAmArhBQAAmArhBQAAmArhBQAAmArhBQAAmArvebmGJf77MU2cOFEeHh513RUAAByGmRcAAGAqhBcAAGAqhBcAAGAqhBcAAGAqhBcAAGAqhBcAAGAqhBcAAGAqhBcAAGAqhBcAAGAqhBcAAGAqhBcAAGAqhBcAAGAqhBcAAGAqhBcAAGAqhBcAAGAqLoZhGHXdCThJRs+67kHDEvZjXfcAABoEZl4AAICpEF4AAICpEF4AAICpEF4AAICpEF4AAICpEF4AAICpEF4AAICpEF4AAICpEF4AAICpuNd1Bxq6Pn361Kjeli1bHNwTAADMgfBSxwghAABUD7eNAACAqTT4mZfk5GRZLBZZLBYdO3ZMwcHBWrlyZbXauNytn/Xr18vX17fa/XrhhRe0du1a9ezZU/Pnz692fQAArlUNPrzMnTtX/v7+6tSpk86cOVPjdm666Sbdc889FbY3atSo2m1t375daWlpCg0N1f79+2UYhlxcXGrcNwAAriUNPrx8/vnnCgkJkSSNGjVK586dq1E7rVq10u23337V/bFarYqLi9Ntt92m1q1ba/78+Tp27JitjwAANHQNfs2LI0PBhQsXdPbs2atqY9myZcrKytJTTz2lDh06SJL27dvniO4BAHBNaPAzL46ybt06rV69WqWlpfL391dkZKSmTp2qZs2aVbmN3377TfPmzdO4ceMUFBRkmwXKyMhQdHS0s7oOAICpEF4coGvXroqOjlbr1q1VVFSkLVu2aOXKlfruu+/04YcfVjnAxMfHy9PTUxMmTJAkhYaGytPTUxkZGU7sPQAA5kJ4cYCPPvrI7s8xMTHq1auXXn75ZSUkJOjFF1+8YhsHDhzQsmXLNGPGDNsiX3d3d7Vp04bwAgDA7zT4NS/OMnz4cLVs2VIbN26sUvm4uDi1bNlS3bt319GjR20/QUFBys3NVX5+vnM7DACASTDz4kTBwcHasWPHFculpaVp69atkqR777230jIZGRnq27evQ/sHAIAZEV6cxDAMZWdnKzAw8LLlioqKNGfOHPXt27fS4HL48GElJCQQXgAA+B/CSxWVlJQoOztb3t7eCgoKsm3/5ZdfKg0on376qXJzc3X//fdftt0PPvhAubm5mjVrljp16lRh/88//6yEhAQelwYA4H8afHhZtWqVjh8/LknKz8/XhQsXbK/j9/X11QMPPCBJOnHihEaOHKlevXopMTHRVv+DDz7Q999/r/DwcAUHB6uoqEhbt27Vf//7X7Vu3VpTpky55LF//vlnffzxx4qMjKw0uEhSUFCQvLy8WLQLAMD/NPjwsmLFCm3bts1uW3x8vKSyNSvl4eVS+vTpo8zMTK1evVr5+flycXFRq1atNGnSJD300EPy8fG5ZN3Zs2eruLhYkydPvmQZV1dXhYSEKDMzU+fPn5eXl1c1zg4AgGuPi2EYRl13Ak6S0bOue9CwhP1Y1z0AgAaBR6UBAICpEF4AAICpEF4AAICpEF4AAICpEF4AAICpEF4AAICpEF4AAICpEF4AAICpEF4AAICpNPjPA1zLEv/9mCZOnCgPD4+67goAAA7DzAsAADAVwgsAADAVwgsAADAVwgsAADAVwgsAADAVwgsAADAVwgsAADAVwgsAADAVwgsAADAVwgsAADAVwgsAADAVwgsAADAVwgsAADAVwgsAADAVF8MwjLruBJwko2dd96B2hf1Y1z0AANQCZl4AAICpEF4AAICpEF4AAICpEF4AAICpEF4AAICpEF4AAICpEF4AAICpEF7qod27d2v//v2SpOTkZK1fv76OewQAQP1BeKmH1qxZo4KCAklSRkaG2rdvX8c9AgCg/nCv6w5ci/Ly8vT2229r27ZtkqTu3bvrueeeU1BQkCQpNjZWX331lTw8PGx13nrrLQ0YMEDffvutUlNTtW/fPvXu3VuHDh3Sl19+qc2bN6tFixZ644036uScAACoL5h5cYI333xTJSUlSk1N1apVq9S4cWP9/e9/tytzzz336L///a/tZ8CAAZKkAQMGqE2bNkpMTNT48eN16tQp3XfffVqwYIEOHDhQF6cDAEC9QnhxgmPHjik6OlqNGzeWt7e3hg0bpoMHD1apbm5urlq0aCGp7JZRRESEmjdvLsMw5OPj48xuAwBgCvX2tlFycrIsFossFouOHTum4OBgrVy5strtFBQU6IMPPtDXX3+tnJwceXt7q23btnrwwQc1aNCgarf3wgsvaO3aterZs6fmz59faZmxY8dq/fr1ioyMlKurq1avXq3w8HC7Ml999ZXWrFmjgIAAxcTEaPz48XJ3d9fBgwfVrl07SWXhpUuXLpKko0ePKiQkpNr9BQDgWlNvw8vcuXPl7++vTp066cyZMzVqIycnR48++qhOnz6tO++8U+3atVNRUZGysrKUk5NT7fa2b9+utLQ0hYaGav/+/TIMQy4uLhXKde/eXampqRo0aJBcXFx0ww03aO7cubb9o0eP1lNPPaUmTZrIYrHoxRdfVHFxsaZOnarQ0FC98847Onz4sJo2baoRI0ZIkiwWi8LCwmo0DgAAXEtcDMMw6roTlcnOzrbNNIwaNUrnzp2r9szL5MmTlZWVpQ8//NC2WLamrFarxo0bp7Zt26p169aaP3++Pv/88wqzIVarVXfddZeioqL06KOPytXVVR999JHS09O1aNEiubtXzItfffWVEhIStHz58qvqYwUZPR3bXn0X9mNd9wAAUAvq7ZqXq71Fsn37dm3btk3jx49XUFCQSkpKdO7cuRq3t2zZMmVlZempp55Shw4dJEn79u2rUO706dPKycnR6NGjdd1118nb21tjx47VoUOHlJ2dXWnbLi4uqqcZEgCAeqfehper9c0330iSWrVqpWnTpumWW25ReHi47rzzTn366afVauu3337TvHnzNG7cOAUFBemGG26QVLYm5WJNmjRRaGioUlJSVFRUpAsXLuiTTz6Rn5+fgoODJUlr165VQUGBDMPQ/v37lZSUpKioqKs8YwAAGoZ6u+blamVmZkqSXn31VbVs2VIzZsyQi4uLli5dqri4OJ05c0YPP/xwldqKj4+Xp6enJkyYIEkKDQ2Vp6dnpeFFkmbNmqXZs2dr+PDhslqt6tChg2bPni0vLy9J0tKlS/XGG2+opKREzZo107BhwzRp0qSrPmcAABqCaza8FBYWSpIaNWqkpKQkeXp6SpKGDBmi+++/X8nJyRo1apT8/Pwu286BAwe0bNkyzZgxQ40aNZIkubu7q02bNpcML+3bt9d77713yTYTExNrckoAAEDX8G2j8lmOoUOH2oKLJHl4eCgmJkbnz5/X7t27r9hOXFycWrZsqe7du+vo0aO2n6CgIOXm5io/P99ZpwAAACpxzc68NG/eXJLUrFmzCvsCAwMllS2uvZy0tDRt3bpVknTvvfdWWiYjI0N9+/a9mq4CAIBquGbDyx/+8Ad99tlnys3NrbCvfFtAQMAl6xcVFWnOnDnq27dvpcHl8OHDSkhIILwAAFDLTB9eSkpKlJ2dLW9vb7t3uURERKhx48ZatWqVJk2aZHu1/tmzZ/XFF1/Iz89P3bt3v2S7H3zwgXJzczVr1ix16tSpwv6ff/5ZCQkJlT4uDQAAnKfehpdVq1bp+PHjkqT8/HxduHDB9jp+X19fPfDAA5KkEydOaOTIkerVq5fdQlhfX18988wzeuWVV/TQQw9pxIgRcnFx0YoVK3Ty5Em9/PLL8vb2rvTYP//8sz7++GNFRkZWGlwkKSgoSF5eXpdctAsAAJyj3oaXFStWaNu2bXbb4uPjJUnBwcG28HI5d999t5o2baoPP/xQSUlJMgxDXbp00V/+8hfdcsstl6w3e/ZsFRcXa/LkyZcs4+rqqpCQEGVmZur8+fO2BcIAAMC56u3nAeAAfB4AAHANumYflQYAANcmwgsAADAVwgsAADAVwgsAADAVwgsAADAVwgsAADAVwgsAADAVwgsAADAVwgsAADAVwgsAADCVevttI1y9xH8/pokTJ8rDw6OuuwIAgMMw8wIAAEyF8AIAAEyF8AIAAEyF8AIAAEyF8AIAAEyF8AIAAEyF8AIAAEyF8AIAAEyF8AIAAEyF8AIAAEyF8AIAAEyF8AIAAEyF8AIAAEyF8AIAAEyF8AIAAEyF8AIAAEyF8AIAAEyF8AIAAEyF8AIAAEyF8AIAAEyF8AIAAEyF8AIAAEyF8AIAAEyF8AIAAEyF8AIAAEyF8AIAAEyF8AIAAEyF8AIAAEyF8AIAAEyF8AIAAEyF8AIAAEzFva47AOcwDEPnzp3T6dOn5eHhUdfdAQA0AL6+vnJxcXH6cVwMwzCcfhTUupMnT+r666+v624AABqQvLw8NWvWzOnHYeblGuXl5aWePXtq1apV8vHxqevu1AsFBQUaPnw4Y/I7jElFjElFjIk9xqOi8jHx8vKqleMRXq5RLi4ucnNzk5+fH/9z/Y+rqytjchHGpCLGpCLGxB7jUVH5mNTGLSOJBbsAAMBkCC8AAMBUCC/XKE9PTz3yyCPy9PSs667UG4xJRYxJRYxJRYyJPcajotoeE542AgAApsLMCwAAMBXCCwAAMBXCCwAAMBXe81LPZWVlaebMmdq+fbsaNWqkoUOH6oknnpC3t/cV637xxRdKTk7W8ePHFRISosmTJ2vw4MF2ZUpKShQfH6+VK1eqoKBAN954o5599ll17NjRWad01Zw5JllZWfr000+1efNmHT9+XE2aNFHfvn312GOP1cpbI2vK2X9Pfm/mzJlavHix7r//fj333HOOPA2Hqo0xOXjwoP75z39q27Ztslqtatu2rZ599ln16NHDGad01Zw9Jj///LNtPM6ePavWrVtr3LhxiomJcdYpXZWajsfatWuVlpam3bt3Ky8vT3/+85/14IMPVijXkK6vVRkTR15fCS/12JkzZzR16lQFBQXp7bff1q+//qrZs2frt99+0yuvvHLZuunp6YqNjdWECRPUv39//fvf/9b06dPl4+Oj/v3728rNmjVLX375pZ5++mkFBwfro48+0tSpU7V48eJ6+Y+1s8fku+++07Zt23TPPfcoLCxMJ06cUGJioiZNmqTFixfruuuuq43TrJba+HtS7sCBA0pNTVXjxo2ddToOURtjsn//fj388MO69dZb9frrr8vNzU0Wi0VFRUXOPr0acfaYnD9/Xk888YQk6ZlnnpG/v7/WrFmjGTNmyMvLS1FRUU4/x+q4mvFYt26djh07pvDwcC1btuyS5RrS9bUqY+LQ66uBeis5Odm45ZZbjFOnTtm2rV692ujdu7dx6NChy9a97777jOeee85u2+OPP26MHz/e9ufc3Fyjb9++xpIlS2zbCgoKjKioKOPdd991yDk4mrPH5NSpU4bVarUrk5GRYfTu3dtYuXLlVfffGZw9Jr/3yCOPGPHx8cYdd9xhvPnmm1fbdaepjTGZOHGi8cILLziqy07n7DHZvn270bt3b2Pz5s125e6//37j+eefv+r+O9rVjEdpaantv3v37m189NFHFco0tOtrVcbEkddX1rzUY99++6369u2rJk2a2LZFRUXJ09NT33zzzSXrHTt2TJmZmRo6dKjd9mHDhumnn35Sfn6+pLIUXFpaqiFDhtjKNG7cWAMHDtTGjRsdei6O4uwxadKkSYXXW99www1yc3NTXl6ew87DkZw9JuVWr16tY8eOafz48Y7svlM4e0wOHz6snTt36oEHHnBG953C2WNSUlIiSRVel+/j4yOjHr6Ro6bjIZW9Cv9KGtL1VaramDjy+kp4qccOHz6sdu3a2W3z9PRUSEiIDh8+fNl6kirUbdeunQzDUGZmpq1cYGCg/P39K5TLysqS1Wp1wFk4lrPHpDI7d+5UaWlphbr1RW2MydmzZzVnzhz9+c9/rtL6iLrm7DHZtWuXpLKP0Y0ZM0b9+vXTnXfeqcWLFzvwLBzL2WPSs2dPtW/fXnPnzlV2drYKCgq0bNky7dmzR/fdd59jT8YBajoe1Wm/oVxfr0ZNr6+seanHTp8+LV9f3wrbfX19dfr06UvWO3PmjKSKvwH5+flJkn777Tdbuco+Kubn56eSkhIVFhbWu4+OOXtMLlZSUqJZs2apTZs2uvXWW2vabaeqjTFJTExUaGio3W+R9Zmzx+SXX36RJM2YMUPjxo3TM888o//85z+aOXOm/P396+UCVWePibu7u+Lj4/XMM89oxIgRkiQPDw/Fxsbq5ptvdsQpOFRNx6OqGtL1taau5vpKeDGhqk7BXjw9V17v99sr+wJoZeXqO0eOye+99dZbOnjwoJKSkuTubq7/XRw1JocOHVJKSoqSk5Md28E64KgxKf+t+a677tLEiRMlSX369FF2drYWLFhQL8PLpThqTIqKivTcc8/JarUqLi5OPj4+2rBhg/7+97/Lz89PAwYMcGzHncSRt7ga2vW1uq7m+spto3rMz8/P9lvP7xUUFNh+66lMeXK+uG75n8vr+vr6Vtr+mTNn5O7urkaNGtW4787i7DH5vcTERKWmpur1119X165dr6bbTuXsMZk9e7aio6PVsmVLnTlzRmfOnJHValVJSYntv+sbZ49J+a2Ai2cUbr75Zh05csS2/qM+cfaYrFixQrt379acOXM0aNAg3Xzzzfq///s/DRgwQO+++66jTsNhajoeVdWQrq81cbXXV8JLPdauXbsK9xmLi4uVnZ192fuD5fsurnv48GG5uLiobdu2tnK//vprhVsmhw8fVps2baq0AKu2OXtMyqWkpCgxMVHPPfecIiIiHNN5J3H2mGRmZmr16tUaNGiQ7Sc3N1fLly/XoEGDdOTIEceekAM4e0wu/vtSzjCMevsbtbPH5PDhw2revLmaNm1qVy4sLEzZ2dkOOAPHqul4VKf9hnJ9rS5HXF/r3+jBZsCAAdq8ebPdUx/r169XcXGxbrnllkvWa9Wqldq2bau1a9fabV+zZo26detmW0nev39/ubq6Ki0tzVamsLBQGzZsqLfrO5w9JuXb4uLi9Oijj+ree+919Ck4nLPH5PXXX1d8fLzdT2BgoCIjIxUfH6+goCBnnNZVcfaY9OjRQ35+fvrhhx/sym3evFnt27evl7cYnT0mQUFBOnHihH799Ve7cnv37lXLli0ddh6OUtPxqKqGdH2tDoddX6v1YDVq1enTp42YmBhj0qRJxrfffmt88cUXRnR0tPHXv/7Vrtzf/vY3o2/fvnbb0tLSjD59+hj//Oc/jc2bNxszZ840+vTpY2zatMmu3JtvvmkMHDjQWL58ubFp0ybj8ccfN6Kiooy8vDynn19NOHtMtmzZYvTr18945JFHjJ07d9r9HD16tFbOsbpq4+/Jxer7e15qY0z+9a9/Gf369TOSkpKMTZs2GW+//bbRu3dvY/369c4+vRpx9pjk5OQYERERxtixY420tDRj06ZNxhtvvGH07t3bSElJqZVzrI6rGY+DBw8aaWlpRlpamtG7d2/jpZdeMtLS0oyNGzfalWtI19eqjIkjr6/179cD2Pj6+mrevHmKi4vTtGnT5O3traFDh+rJJ5+0K2e1WlVaWmq3bfDgwSoqKtKCBQu0cOFChYaG6o033qjw1tRnnnlG1113nebNm6eCggJ169ZN8+bNq5dvf5ScPyZbtmxRSUmJtm3bZluIWe6OO+5QbGys086tpmrj74nZ1MaYjBkzRi4uLlq8eLHmz5+vkJAQxcbGKjIy0tmnVyPOHpMWLVooISHBdozCwkKFhobqr3/9q+6+++5aOcfquJrxSEtLU1JSku3Pq1at0qpVqxQcHKyVK1fatjek62tVxsSR11cXw6iHbw8CAAC4BNa8AAAAUyG8AAAAUyG8AAAAUyG8AAAAUyG8AAAAUyG8AAAAUyG8AAAAUyG8AAAAUyG8AAAAUyG8AAAAUyG8AAAAUyG8AAAAU/n/ADltC1kqI2ovAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 500x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Summary Plot for Class Tram\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 500x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# SHAP summary plot by class\n",
    "\n",
    "colors = iter([plt.cm.Set2(i) for i in range(20)])\n",
    "\n",
    "for i in range(7):\n",
    "    fig = plt.figure()\n",
    "    print('Summary Plot for Class', classes_dict_ivt[i])\n",
    "    shap.summary_plot(shap_values[classes.index(classes_dict_ivt[i])], X_test.values, feature_names=FEATURES_SIMBOL, plot_type=\"bar\", color=next(colors), max_display=5, show = False)\n",
    "    plt.xlim([0,0.12])\n",
    "    plt.gcf().set_size_inches(5,4)\n",
    "    plt.xlabel(\"\")\n",
    "    plt.savefig(os.path.join(\"fig\", f\"shap_{i}_{classes_dict_ivt[i]}.png\"), bbox_inches='tight', dpi=600)\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5a9e13a1-e0cb-49e4-9083-b645240e431e",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.8"
  },
  "vscode": {
   "interpreter": {
    "hash": "e3307148b578e6aa85616c61b46cb8e0917f8e20a9b0d5c7552aa4399d77cb8c"
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}