pipeline_catboost_v2.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "90431129",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "36ebe4c8",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.datasets import load_breast_cancer\n",
    "\n",
    "data = load_breast_cancer(as_frame=True)\n",
    "data.keys()\n",
    "df = data.frame"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "0e5ec84c",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.datasets import fetch_covtype\n",
    "\n",
    "data = fetch_covtype(as_frame=True)\n",
    "data.keys()\n",
    "df = data.frame"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "b5c86837",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['elevation', 'aspect', 'slope', 'horizontal_distance_to_hydrology',\n",
       "       'vertical_distance_to_hydrology', 'horizontal_distance_to_roadways',\n",
       "       'hillshade_9am', 'hillshade_noon', 'hillshade_3pm',\n",
       "       'horizontal_distance_to_fire_points', 'wilderness_area_0',\n",
       "       'wilderness_area_1', 'wilderness_area_2', 'wilderness_area_3',\n",
       "       'soil_type_0', 'soil_type_1', 'soil_type_2', 'soil_type_3',\n",
       "       'soil_type_4', 'soil_type_5', 'soil_type_6', 'soil_type_7',\n",
       "       'soil_type_8', 'soil_type_9', 'soil_type_10', 'soil_type_11',\n",
       "       'soil_type_12', 'soil_type_13', 'soil_type_14', 'soil_type_15',\n",
       "       'soil_type_16', 'soil_type_17', 'soil_type_18', 'soil_type_19',\n",
       "       'soil_type_20', 'soil_type_21', 'soil_type_22', 'soil_type_23',\n",
       "       'soil_type_24', 'soil_type_25', 'soil_type_26', 'soil_type_27',\n",
       "       'soil_type_28', 'soil_type_29', 'soil_type_30', 'soil_type_31',\n",
       "       'soil_type_32', 'soil_type_33', 'soil_type_34', 'soil_type_35',\n",
       "       'soil_type_36', 'soil_type_37', 'soil_type_38', 'soil_type_39',\n",
       "       'target'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns = df.columns.str.lower().str.replace(\" \",\"_\")\n",
    "df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "77ffd7e1",
   "metadata": {},
   "outputs": [],
   "source": [
    "feature_to_group = {'elevation': \"basic\",\n",
    " 'aspect': \"basic\",\n",
    " 'slope': \"basic\",\n",
    " 'horizontal_distance_to_hydrology': \"distance\",\n",
    " 'vertical_distance_to_hydrology': \"distance\",\n",
    " 'horizontal_distance_to_roadways': \"distance\",\n",
    " 'hillshade_9am': \"hillshade\",\n",
    " 'hillshade_noon': \"hillshade\",\n",
    " 'hillshade_3pm': \"hillshade\",\n",
    " 'horizontal_distance_to_fire_points': \"distance\",\n",
    " 'wilderness_area_0': \"wilderness_area\",\n",
    " 'wilderness_area_1': \"wilderness_area\",\n",
    " 'wilderness_area_2': \"wilderness_area\",\n",
    " 'wilderness_area_3': \"wilderness_area\",\n",
    " 'soil_type_0': \"soil_type\",\n",
    " 'soil_type_1': \"soil_type\",\n",
    " 'soil_type_2': \"soil_type\",\n",
    " 'soil_type_3': \"soil_type\",\n",
    " 'soil_type_4': \"soil_type\",\n",
    " 'soil_type_5': \"soil_type\",\n",
    " 'soil_type_6': \"soil_type\",\n",
    " 'soil_type_7': \"soil_type\",\n",
    " 'soil_type_8': \"soil_type\",\n",
    " 'soil_type_9': \"soil_type\",\n",
    " 'soil_type_10': \"soil_type\",\n",
    " 'soil_type_11': \"soil_type\",\n",
    " 'soil_type_12': \"soil_type\",\n",
    " 'soil_type_13': \"soil_type\",\n",
    " 'soil_type_14': \"soil_type\",\n",
    " 'soil_type_15': \"soil_type\",\n",
    " 'soil_type_16': \"soil_type\",\n",
    " 'soil_type_17': \"soil_type\",\n",
    " 'soil_type_18': \"soil_type\",\n",
    " 'soil_type_19': \"soil_type\",\n",
    " 'soil_type_20': \"soil_type\",\n",
    " 'soil_type_21': \"soil_type\",\n",
    " 'soil_type_22': \"soil_type\",\n",
    " 'soil_type_23': \"soil_type\",\n",
    " 'soil_type_24': \"soil_type\",\n",
    " 'soil_type_25': \"soil_type\",\n",
    " 'soil_type_26': \"soil_type\",\n",
    " 'soil_type_27': \"soil_type\",\n",
    " 'soil_type_28': \"soil_type\",\n",
    " 'soil_type_29': \"soil_type\",\n",
    " 'soil_type_30': \"soil_type\",\n",
    " 'soil_type_31': \"soil_type\",\n",
    " 'soil_type_32': \"soil_type\",\n",
    " 'soil_type_33': \"soil_type\",\n",
    " 'soil_type_34': \"soil_type\",\n",
    " 'soil_type_35': \"soil_type\",\n",
    " 'soil_type_36': \"soil_type\",\n",
    " 'soil_type_37': \"soil_type\",\n",
    " 'soil_type_38': \"soil_type\",\n",
    " 'soil_type_39': \"soil_type\",\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "cce83c33",
   "metadata": {},
   "outputs": [],
   "source": [
    "df.rename(columns={\"cover_type\": \"target\"}, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "37120478",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(581012, 55)"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d3b943be",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "target\n",
       "0    530895\n",
       "1     50117\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.target.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "8e749d46",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Opcional - transformando target em classificação binária\n",
    "df.target = df.target.apply(lambda x: int(x >= 4))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "7a486a9e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "target\n",
       "0    530895\n",
       "1     50117\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "df.target.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "1952689b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "df_train.shape=(4183, 55)\n",
      "df_eval.shape=(465, 55)\n",
      "df_test.shape=(1162, 55)\n"
     ]
    }
   ],
   "source": [
    "# Separação dos conjuntos\n",
    "\n",
    "from sklearn.model_selection import train_test_split as tts\n",
    "\n",
    "df_sample = df.sample(frac=0.01, random_state=42)\n",
    "df_train_eval, df_test = tts(df_sample, test_size=0.2, random_state=42, stratify=df_sample.target)\n",
    "df_train, df_eval = tts(df_train_eval, test_size=0.1, random_state=42, stratify=df_train_eval.target)\n",
    "\n",
    "print(f\"{df_train.shape=}\\n{df_eval.shape=}\\n{df_test.shape=}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "7db81aeb",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Definindo parâmetros do catboost para usar no resto do pipeline\n",
    "params = {\n",
    "    \"iterations\": 2000,\n",
    "    \"loss_function\": \"Logloss\", # \"MultiClass\",\n",
    "    \"eval_metric\": \"F1\", # \"TotalF1\",\n",
    "    \"random_seed\": 100,\n",
    "    \"verbose\": 100,\n",
    "    \"early_stopping_rounds\": 100,\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "e515191b",
   "metadata": {},
   "outputs": [
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       "MetricVisualizer(layout=Layout(align_self='stretch', height='500px'))"
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     "output_type": "display_data"
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Learning rate set to 0.033379\n",
      "0:\tlearn: 0.0976864\ttest: 0.0000000\tbest: 0.0000000 (0)\ttotal: 145ms\tremaining: 4m 48s\n",
      "100:\tlearn: 0.4000000\ttest: 0.3773585\tbest: 0.4150943 (91)\ttotal: 505ms\tremaining: 9.49s\n",
      "200:\tlearn: 0.6171429\ttest: 0.4406780\tbest: 0.4482759 (153)\ttotal: 864ms\tremaining: 7.73s\n",
      "300:\tlearn: 0.7033748\ttest: 0.5312500\tbest: 0.5396825 (264)\ttotal: 1.24s\tremaining: 7.01s\n",
      "400:\tlearn: 0.7805695\ttest: 0.5454545\tbest: 0.5757576 (318)\ttotal: 1.6s\tremaining: 6.38s\n",
      "Stopped by overfitting detector  (100 iterations wait)\n",
      "\n",
      "bestTest = 0.5757575758\n",
      "bestIteration = 318\n",
      "\n",
      "Shrink model to first 319 iterations.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<catboost.core.CatBoostClassifier at 0x299bb54fed0>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Treinando modelo inicial com todas as features\n",
    "from catboost import CatBoostClassifier, Pool, EShapCalcType, EFeaturesSelectionAlgorithm\n",
    "\n",
    "pool_train = Pool(data=df_train.drop(columns=[\"target\"]), label=df_train[\"target\"])\n",
    "pool_eval = Pool(data=df_eval.drop(columns=[\"target\"]), label=df_eval[\"target\"])\n",
    "pool_test = Pool(data=df_test.drop(columns=[\"target\"]), label=df_test[\"target\"])\n",
    "\n",
    "model = CatBoostClassifier(**params)\n",
    "\n",
    "model.fit(\n",
    "    pool_train,\n",
    "    eval_set=pool_eval,\n",
    "    plot=True\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "d760142e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Selecting 1 features out of 54 using 4 steps\n"
     ]
    },
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         },
         "zeroline": false
        }
       }
      }
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Feature selection do catboost\n",
    "model = CatBoostClassifier(**params)\n",
    "\n",
    "num_features_to_select=1\n",
    "steps=4# len(df_train.columns)\n",
    "features_for_select=list(df_train.columns.drop(\"target\"))\n",
    "\n",
    "print(f\"Selecting {num_features_to_select} features out of {len(features_for_select)} using {steps} steps\")\n",
    "\n",
    "# Criando objeto para capturar os logs do feature selection\n",
    "from io import StringIO\n",
    "text_results = StringIO()\n",
    "\n",
    "feature_selection_results = model.select_features(\n",
    "    pool_train,\n",
    "    eval_set=pool_eval,\n",
    "    features_for_select=features_for_select,\n",
    "    num_features_to_select=num_features_to_select,\n",
    "    steps=steps,\n",
    "    plot=True,\n",
    "    algorithm=EFeaturesSelectionAlgorithm.RecursiveByShapValues,\n",
    "    shap_calc_type=EShapCalcType.Regular,\n",
    "    train_final_model=True,\n",
    "    log_cout=text_results,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "7bef49e1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "metric_ids=[0, 34, 47, 51, 53]\n",
      "metric_values=[0.5757575758, 0.6268656716, 0.6376811594, 0.4363636364, 0.2909090909]\n",
      "metric_best_iters=[318, 324, 342, 168, 182]\n",
      "Highest metric is best.\n",
      "best_metric_id=47 best_metric=0.6376811594\n"
     ]
    }
   ],
   "source": [
    "# Tratamento dos logs para extrair os valores das melhores métricas\n",
    "import re\n",
    "import numpy as np\n",
    "\n",
    "num_results = re.findall(\"Feature #([0-9]+) eliminated|bestTest = ([0-9\\.]+)|bestIteration = ([0-9]+)\", text_results.getvalue())\n",
    "\n",
    "metric_ids = []\n",
    "metric_values = []\n",
    "metric_best_iters = []\n",
    "id = 0\n",
    "for feature_eliminated, best_test, best_iteration in num_results:\n",
    "    if feature_eliminated:\n",
    "        id += 1\n",
    "    if best_test:\n",
    "        metric_ids.append(id)\n",
    "        metric_values.append(float(best_test))\n",
    "    if best_iteration:\n",
    "        metric_best_iters.append(int(best_iteration))\n",
    "print(f\"{metric_ids=}\\n{metric_values=}\\n{metric_best_iters=}\")\n",
    "\n",
    "metric_ids = np.array(metric_ids)\n",
    "metric_values = np.array(metric_values)\n",
    "\n",
    "METRIC_LESSER_IS_BETTER = False\n",
    "if METRIC_LESSER_IS_BETTER:\n",
    "    print(\"Lowest metric is best.\")\n",
    "    best_metric_id = int(metric_ids[metric_values.argmin()])\n",
    "    best_metric = float(metric_values.min())\n",
    "else:\n",
    "    print(\"Highest metric is best.\")\n",
    "    best_metric_id = int(metric_ids[metric_values.argmax()])\n",
    "    best_metric = float(metric_values.max())\n",
    "print(f\"{best_metric_id=} {best_metric=}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "1328700b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "len(losses)=54 losses=[0.1477282443515885, 0.1386612968311075, 0.13772432320931027, 0.13729127202273866, 0.13694033713804132, 0.13669641534692198, 0.13650708477149984, 0.13647218526134702, 0.13645632770172525, 0.13644726518956188, 0.13644041890343386, 0.13644040486236156, 0.13644040486236156, 0.13644040486236156, 0.13644040486236156, 0.13644040486236156, 0.13644040486236156, 0.13644040486236156, 0.13644040486236156, 0.13644040486236156, 0.13644040486236156, 0.13644040486236156, 0.13644040486236148, 0.1364408110184758, 0.13644442824989417, 0.13644926040091057, 0.13645508385804772, 0.13649300550289595, 0.13654742283978893, 0.1366640907610781, 0.13681899568210618, 0.13697760479243923, 0.1373120527002838, 0.1376573495294945, 0.13800402338944334, 0.1379832341699785, 0.13800875312359917, 0.1380553322887867, 0.13812861216436284, 0.13823021305942143, 0.13837121534267965, 0.13852211756938929, 0.13869451653295242, 0.13892845605339277, 0.13922116815687322, 0.13955184938860668, 0.14000453966058424, 0.14042553951270548, 0.14449061064774119, 0.14994244668426443, 0.15853422596483285, 0.16999937522171688, 0.18177081052184968, 0.194306053544715]\n",
      "Lowest loss is best.\n",
      "best_loss_id=22 best_loss=0.13644040486236148\n"
     ]
    }
   ],
   "source": [
    "# Extraindo melhor loss\n",
    "LOSS_LESSER_IS_BETTER = True\n",
    "losses = feature_selection_results[\"loss_graph\"][\"loss_values\"]\n",
    "print(f\"{len(losses)=} {losses=}\")\n",
    "losses = np.array(losses)\n",
    "if LOSS_LESSER_IS_BETTER:\n",
    "    print(\"Lowest loss is best.\")\n",
    "    best_loss_id = int(losses.argmin())\n",
    "else:\n",
    "    print(\"Highest loss is best.\")\n",
    "    best_loss_id = int(losses.argmax())\n",
    "best_loss = float(losses[best_loss_id])\n",
    "print(f\"{best_loss_id=} {best_loss=}\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "ca6525b7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "len(features_ordered)=54 features_ordered=['elevation', 'soil_type_38', 'horizontal_distance_to_roadways', 'wilderness_area_0', 'hillshade_3pm', 'wilderness_area_3', 'horizontal_distance_to_fire_points', 'horizontal_distance_to_hydrology', 'soil_type_37', 'hillshade_9am', 'soil_type_9', 'slope', 'soil_type_29', 'soil_type_3', 'wilderness_area_2', 'hillshade_noon', 'aspect', 'soil_type_30', 'soil_type_4', 'wilderness_area_1', 'soil_type_1', 'soil_type_11', 'soil_type_32', 'soil_type_23', 'soil_type_21', 'soil_type_16', 'soil_type_19', 'soil_type_10', 'soil_type_36', 'soil_type_18', 'soil_type_27', 'soil_type_26', 'soil_type_35', 'soil_type_34', 'soil_type_28', 'soil_type_25', 'soil_type_24', 'soil_type_22', 'soil_type_20', 'soil_type_15', 'soil_type_14', 'soil_type_8', 'soil_type_6', 'soil_type_7', 'soil_type_17', 'soil_type_33', 'soil_type_2', 'soil_type_5', 'soil_type_12', 'soil_type_31', 'soil_type_0', 'soil_type_13', 'soil_type_39', 'vertical_distance_to_hydrology']\n",
      "Choosing best number of features based on best loss.\n",
      "best_n_features=32/len(features_ordered)=54\n",
      "features_best=['elevation', 'soil_type_38', 'horizontal_distance_to_roadways', 'wilderness_area_0', 'hillshade_3pm', 'wilderness_area_3', 'horizontal_distance_to_fire_points', 'horizontal_distance_to_hydrology', 'soil_type_37', 'hillshade_9am', 'soil_type_9', 'slope', 'soil_type_29', 'soil_type_3', 'wilderness_area_2', 'hillshade_noon', 'aspect', 'soil_type_30', 'soil_type_4', 'wilderness_area_1', 'soil_type_1', 'soil_type_11', 'soil_type_32', 'soil_type_23', 'soil_type_21', 'soil_type_16', 'soil_type_19', 'soil_type_10', 'soil_type_36', 'soil_type_18', 'soil_type_27', 'soil_type_26']\n"
     ]
    }
   ],
   "source": [
    "# Montando lista de features ordenada pela feature selection e pegando melhor subconjunto de features\n",
    "features_ordered = (\n",
    "    feature_selection_results['selected_features_names'] + \n",
    "    feature_selection_results['eliminated_features_names'][::-1]\n",
    ")\n",
    "print(f\"{len(features_ordered)=} {features_ordered=}\")\n",
    "\n",
    "BEST_N_FEATURES_BY_METRIC = False\n",
    "if BEST_N_FEATURES_BY_METRIC:\n",
    "    print(\"Choosing best number of features based on best metric.\")\n",
    "    best_n_features = len(features_ordered) - best_metric_id\n",
    "else:\n",
    "    print(\"Choosing best number of features based on best loss.\")\n",
    "    best_n_features = len(features_ordered) - best_loss_id\n",
    "print(f\"{best_n_features=}/{len(features_ordered)=}\")\n",
    "features_best = features_ordered[:best_n_features]\n",
    "print(f\"{features_best=}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "c152cd9f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot resumo da seleção de features\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "fig, ax1 = plt.subplots()\n",
    "losses = np.array(losses)\n",
    "ax1.plot(losses, color='orange', label='Loss Values', marker='.')\n",
    "ax1.scatter(metric_ids, losses[metric_ids], color='orange', marker=\"o\")\n",
    "ax1.scatter(losses.argmin(), losses.min(), color=\"red\", label=f\"Min {losses.min():0.2f}\", marker=\"v\")\n",
    "ax1.scatter(losses.argmax(), losses.max(), color=\"blue\", label=f\"Max {losses.max():0.2f}\", marker=\"^\")\n",
    "ax1.grid()\n",
    "ax1.set_xlabel(\"Num Features Removed\")\n",
    "ax1.set_ylabel(\"Loss Values\", color='orange')\n",
    "\n",
    "ax2 = ax1.twinx()\n",
    "metric_ids = np.array(metric_ids)\n",
    "metric_values = np.array(metric_values)\n",
    "ax2.plot(metric_ids, metric_values, color='green', label='Metric Values', marker='.')\n",
    "ax2.scatter(metric_ids[metric_values.argmin()], metric_values.min(), color=\"red\", label=f\"Min {metric_values.min():0.2f}\", marker=\"v\")\n",
    "ax2.scatter(metric_ids[metric_values.argmax()], metric_values.max(), color=\"blue\", label=f\"Max {metric_values.max():0.2f}\", marker=\"^\")\n",
    "ax2.set_ylabel(\"Metric Values\", color='green')\n",
    "\n",
    "fig.legend()\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "2c91f39d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "129e010f458343c2a07b27c8de92b889",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "MetricVisualizer(layout=Layout(align_self='stretch', height='500px'))"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Learning rate set to 0.033379\n",
      "0:\tlearn: 0.0220386\ttest: 0.0000000\tbest: 0.0000000 (0)\ttotal: 4.36ms\tremaining: 8.72s\n",
      "100:\tlearn: 0.4000000\ttest: 0.3846154\tbest: 0.3846154 (82)\ttotal: 343ms\tremaining: 6.44s\n",
      "200:\tlearn: 0.6212121\ttest: 0.4827586\tbest: 0.4912281 (142)\ttotal: 677ms\tremaining: 6.06s\n",
      "Stopped by overfitting detector  (100 iterations wait)\n",
      "\n",
      "bestTest = 0.4912280702\n",
      "bestIteration = 142\n",
      "\n",
      "Shrink model to first 143 iterations.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<catboost.core.CatBoostClassifier at 0x29997ed9010>"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Treinando modelo com as melhores features\n",
    "pool_train = Pool(data=df_train[features_best], label=df_train[\"target\"])\n",
    "pool_eval = Pool(data=df_eval[features_best], label=df_eval[\"target\"])\n",
    "pool_test = Pool(data=df_test[features_best], label=df_test[\"target\"])\n",
    "\n",
    "model_final = CatBoostClassifier(**params)\n",
    "\n",
    "model_final.fit(\n",
    "    pool_train,\n",
    "    eval_set=pool_eval,\n",
    "    plot=True\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 227,
   "id": "84d0a81e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Classification Report - Test\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.93      0.99      0.96      1062\n",
      "           1       0.69      0.22      0.33       100\n",
      "\n",
      "    accuracy                           0.92      1162\n",
      "   macro avg       0.81      0.61      0.65      1162\n",
      "weighted avg       0.91      0.92      0.91      1162\n",
      " [[1052   10]\n",
      " [  78   22]]\n",
      "auc=0.9349246704331451\n",
      "ap=0.579731552688203\n",
      "ap_0=0.9934358413144034\n"
     ]
    }
   ],
   "source": [
    "# Classification report\n",
    "import numpy as np\n",
    "from sklearn.metrics import classification_report, confusion_matrix, roc_auc_score, average_precision_score\n",
    "\n",
    "y_pred_proba = model_final.predict_proba(pool_test)\n",
    "y_pred = model_final.predict(pool_test)\n",
    "cr = classification_report(df_test[\"target\"], y_pred, zero_division=0)\n",
    "cm = confusion_matrix(df_test[\"target\"], y_pred)\n",
    "auc = roc_auc_score(df_test['target'], y_pred_proba[:, 1], multi_class='ovr')\n",
    "ap = average_precision_score(df_test['target'], y_pred_proba[:, 1])\n",
    "ap_0 = average_precision_score(1 - df_test['target'], y_pred_proba[:, 0])\n",
    "\n",
    "print(\"Classification Report - Test\")\n",
    "print(cr, cm)\n",
    "print(f\"{auc=}\\n{ap=}\\n{ap_0=}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 228,
   "id": "9256078e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# ROC AUC\n",
    "from sklearn.metrics import roc_curve\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "fpr, tpr, thresholds = roc_curve(df_test[\"target\"], y_pred_proba[:, 1])\n",
    "plt.plot(fpr, tpr, label=f\"AUC: {auc:0.4f}\")\n",
    "plt.plot([0, 1], [0, 1], linestyle='--', color='gray')\n",
    "plt.title(\"ROC AUC - Test\")\n",
    "plt.xlabel(\"False Positive Rate\")\n",
    "plt.ylabel(\"True Positive Rate\")\n",
    "plt.legend()\n",
    "plt.grid()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 234,
   "id": "52e4f7fa",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Precision recall curve\n",
    "from sklearn.metrics import precision_recall_curve\n",
    "precision, recall, thresholds = precision_recall_curve(df_test[\"target\"], y_pred_proba[:, 1])\n",
    "plt.plot(recall, precision, label=f\"AP 1: {ap:0.4f}\")\n",
    "plt.plot(recall[:-1], thresholds, label=f\"Thresh 1\", linestyle='--')\n",
    "precision, recall, thresholds = precision_recall_curve(1 - df_test[\"target\"], y_pred_proba[:, 0])\n",
    "plt.plot(recall, precision, label=f\"AP 0: {ap_0:0.4f}\")\n",
    "plt.plot(recall[:-1], thresholds, label=f\"Thresh 0\", linestyle='--')\n",
    "plt.title(\"Precision-Recall Curve - Test\")\n",
    "plt.xlabel(\"Recall\")\n",
    "plt.ylabel(\"Precision\")\n",
    "plt.legend()\n",
    "plt.grid()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "id": "9d0f7bd1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# calibration curve\n",
    "from sklearn.calibration import calibration_curve\n",
    "\n",
    "bins = pd.cut(y_pred_proba[:, 1], bins=np.arange(0, 1.01, 0.05))\n",
    "bins = bins.value_counts().sort_index()\n",
    "bins_x = bins.index.categories.left\n",
    "bins_y = bins.values / sum(bins.values)\n",
    "plt.bar(bins_x, bins_y, width=0.05, align='edge', alpha=0.6, label='Proba Dist Normalized')\n",
    "\n",
    "prob_true, prob_pred = calibration_curve(df_test[\"target\"], y_pred_proba[:, 1], n_bins=20)\n",
    "plt.plot(prob_pred, prob_true, marker='o')\n",
    "plt.plot([0, 1], [0, 1], linestyle='--', color='gray')\n",
    "plt.title(\"Calibration - Test\")\n",
    "plt.xlabel(\"Predicted Probability\")\n",
    "plt.ylabel(\"True Probability\")\n",
    "plt.legend()\n",
    "plt.grid()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 208,
   "id": "d8471fac",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>feature_count</th>\n",
       "      <th>shap_abs_mean</th>\n",
       "      <th>shap_abs_sum</th>\n",
       "      <th>shap_mean</th>\n",
       "      <th>shap_sum</th>\n",
       "      <th>catboost_importance</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>feature_group</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>basic</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.279807</td>\n",
       "      <td>325.135329</td>\n",
       "      <td>0.019925</td>\n",
       "      <td>23.152706</td>\n",
       "      <td>14.403321</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>distance</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.159904</td>\n",
       "      <td>185.808308</td>\n",
       "      <td>-0.004710</td>\n",
       "      <td>-5.472492</td>\n",
       "      <td>8.831726</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wilderness_area</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.090131</td>\n",
       "      <td>104.732678</td>\n",
       "      <td>0.004472</td>\n",
       "      <td>5.196485</td>\n",
       "      <td>3.549300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>hillshade</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.055823</td>\n",
       "      <td>64.865917</td>\n",
       "      <td>0.003800</td>\n",
       "      <td>4.415154</td>\n",
       "      <td>2.934243</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>soil_type</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.009688</td>\n",
       "      <td>11.257747</td>\n",
       "      <td>-0.000004</td>\n",
       "      <td>-0.004187</td>\n",
       "      <td>0.383944</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 feature_count  shap_abs_mean  shap_abs_sum  shap_mean  \\\n",
       "feature_group                                                            \n",
       "basic                      1.0       0.279807    325.135329   0.019925   \n",
       "distance                   1.0       0.159904    185.808308  -0.004710   \n",
       "wilderness_area            1.0       0.090131    104.732678   0.004472   \n",
       "hillshade                  1.0       0.055823     64.865917   0.003800   \n",
       "soil_type                  1.0       0.009688     11.257747  -0.000004   \n",
       "\n",
       "                  shap_sum  catboost_importance  \n",
       "feature_group                                    \n",
       "basic            23.152706            14.403321  \n",
       "distance         -5.472492             8.831726  \n",
       "wilderness_area   5.196485             3.549300  \n",
       "hillshade         4.415154             2.934243  \n",
       "soil_type        -0.004187             0.383944  "
      ]
     },
     "execution_count": 208,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Shap values\n",
    "import shap\n",
    "\n",
    "def make_importance(model_final, pool_test):\n",
    "    feat_importance = model_final.get_feature_importance(data=pool_test)\n",
    "    shap_values = model_final.get_feature_importance(type='ShapValues', data=pool_test)\n",
    "    # shap.summary_plot(shap_values[:,:-1], df_test[features_best])\n",
    "    df_shap = pd.DataFrame(shap_values[:,:-1], columns=features_best)\n",
    "    return df_shap, feat_importance\n",
    "\n",
    "def make_df_importance(df_shap, feat_importance):\n",
    "    df_importance = df_shap.abs().mean().reset_index(name=\"shap_abs_mean\")\n",
    "    df_importance.rename(columns={\"index\": \"feature\"}, inplace=True)\n",
    "    df_importance[\"shap_abs_sum\"] = df_shap.abs().sum().reset_index()[0]\n",
    "    df_importance[\"shap_mean\"] = df_shap.mean().reset_index()[0]\n",
    "    df_importance[\"shap_sum\"] = df_shap.sum().reset_index()[0]\n",
    "    df_importance[\"catboost_importance\"] = feat_importance\n",
    "    df_importance[\"feature_group\"] = df_importance.feature.map(feature_to_group)\n",
    "\n",
    "    df_importance_group = df_importance.groupby(\"feature_group\").agg(\n",
    "        feature_count = (\"feature\", \"count\"),\n",
    "        shap_abs_mean = (\"shap_abs_mean\", \"sum\"),\n",
    "        shap_abs_sum = (\"shap_abs_sum\", \"sum\"),\n",
    "        shap_mean = (\"shap_mean\", \"sum\"),\n",
    "        shap_sum = (\"shap_sum\", \"sum\"),\n",
    "        catboost_importance = (\"catboost_importance\", \"sum\"),\n",
    "    )\n",
    "    df_importance_group.sort_values(\"shap_abs_mean\", ascending=False)\n",
    "\n",
    "    df_importance_group_normalized = df_importance_group.divide(df_importance_group.feature_count, axis=0)\n",
    "    df_importance_group_normalized = df_importance_group_normalized.sort_values(\"shap_abs_mean\", ascending=False)\n",
    "    return df_importance_group_normalized\n",
    "\n",
    "\n",
    "df_shap, feat_importance = make_importance(model_final, pool_test)\n",
    "df_importance = make_df_importance(df_shap, feat_importance)\n",
    "df_importance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 209,
   "id": "e94d6363",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>feature_count</th>\n",
       "      <th>shap_abs_mean</th>\n",
       "      <th>shap_abs_sum</th>\n",
       "      <th>shap_mean</th>\n",
       "      <th>shap_sum</th>\n",
       "      <th>catboost_importance</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>feature_group</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>basic</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.267476</td>\n",
       "      <td>302.247820</td>\n",
       "      <td>0.000778</td>\n",
       "      <td>0.878651</td>\n",
       "      <td>14.403321</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>distance</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.159502</td>\n",
       "      <td>180.237760</td>\n",
       "      <td>-0.007038</td>\n",
       "      <td>-7.952824</td>\n",
       "      <td>8.831726</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wilderness_area</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.088110</td>\n",
       "      <td>99.563845</td>\n",
       "      <td>0.000813</td>\n",
       "      <td>0.918769</td>\n",
       "      <td>3.549300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>hillshade</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.055241</td>\n",
       "      <td>62.422598</td>\n",
       "      <td>0.002275</td>\n",
       "      <td>2.570988</td>\n",
       "      <td>2.934243</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>soil_type</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.008835</td>\n",
       "      <td>9.983534</td>\n",
       "      <td>-0.000979</td>\n",
       "      <td>-1.106428</td>\n",
       "      <td>0.383944</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 feature_count  shap_abs_mean  shap_abs_sum  shap_mean  \\\n",
       "feature_group                                                            \n",
       "basic                      1.0       0.267476    302.247820   0.000778   \n",
       "distance                   1.0       0.159502    180.237760  -0.007038   \n",
       "wilderness_area            1.0       0.088110     99.563845   0.000813   \n",
       "hillshade                  1.0       0.055241     62.422598   0.002275   \n",
       "soil_type                  1.0       0.008835      9.983534  -0.000979   \n",
       "\n",
       "                 shap_sum  catboost_importance  \n",
       "feature_group                                   \n",
       "basic            0.878651            14.403321  \n",
       "distance        -7.952824             8.831726  \n",
       "wilderness_area  0.918769             3.549300  \n",
       "hillshade        2.570988             2.934243  \n",
       "soil_type       -1.106428             0.383944  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
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       "      <th></th>\n",
       "      <th>feature_count</th>\n",
       "      <th>shap_abs_mean</th>\n",
       "      <th>shap_abs_sum</th>\n",
       "      <th>shap_mean</th>\n",
       "      <th>shap_sum</th>\n",
       "      <th>catboost_importance</th>\n",
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       "    <tr>\n",
       "      <th>feature_group</th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>basic</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.715235</td>\n",
       "      <td>22.887509</td>\n",
       "      <td>0.696064</td>\n",
       "      <td>22.274055</td>\n",
       "      <td>14.403321</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>distance</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.174080</td>\n",
       "      <td>5.570549</td>\n",
       "      <td>0.077510</td>\n",
       "      <td>2.480332</td>\n",
       "      <td>8.831726</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wilderness_area</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.161526</td>\n",
       "      <td>5.168833</td>\n",
       "      <td>0.133679</td>\n",
       "      <td>4.277717</td>\n",
       "      <td>3.549300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>hillshade</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.076354</td>\n",
       "      <td>2.443320</td>\n",
       "      <td>0.057630</td>\n",
       "      <td>1.844166</td>\n",
       "      <td>2.934243</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>soil_type</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.039819</td>\n",
       "      <td>1.274213</td>\n",
       "      <td>0.034445</td>\n",
       "      <td>1.102241</td>\n",
       "      <td>0.383944</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 feature_count  shap_abs_mean  shap_abs_sum  shap_mean  \\\n",
       "feature_group                                                            \n",
       "basic                      1.0       0.715235     22.887509   0.696064   \n",
       "distance                   1.0       0.174080      5.570549   0.077510   \n",
       "wilderness_area            1.0       0.161526      5.168833   0.133679   \n",
       "hillshade                  1.0       0.076354      2.443320   0.057630   \n",
       "soil_type                  1.0       0.039819      1.274213   0.034445   \n",
       "\n",
       "                  shap_sum  catboost_importance  \n",
       "feature_group                                    \n",
       "basic            22.274055            14.403321  \n",
       "distance          2.480332             8.831726  \n",
       "wilderness_area   4.277717             3.549300  \n",
       "hillshade         1.844166             2.934243  \n",
       "soil_type         1.102241             0.383944  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "y_pred = model_final.predict(pool_test)\n",
    "\n",
    "df_importance_0 = make_df_importance(df_shap.loc[y_pred==0], feat_importance)\n",
    "df_importance_1 = make_df_importance(df_shap.loc[y_pred==1], feat_importance)\n",
    "display(df_importance_0)\n",
    "display(df_importance_1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 224,
   "id": "a4b455af",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x950 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "shap.summary_plot(df_shap.values, df_test[features_best], show=False)\n",
    "plt.title(\"Shap Values - Test Full\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 225,
   "id": "e7b08ff9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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QBEEQBEEQhEZHhIYgCIIgCIIgCI2OCA1BEARBEARBEBodERqCIAiCIAiCIDQ6UnVKEARBEARBEKpFqk41FPFoCIIgCIIgCILQ6IjQEARBEARBEASh0RGhIQiC0IIJlvig+wL7uhmCIAjCfojkaAiCILRA/DkubBv1Mbwrc2AyA7Fn9UbaB8fu62YJgiA0QSRHo6GI0BAEQWhh6P4g1rd7E7qLngwLAgEdeR+ugKVDPJIeGbuvmycIgiDsJ0jolCAIQgsj65F/SkVGCA0agrBgy+OL4Mso2adtEwRBEPYfRGgIgiA0Y7x/b0bhNd+j5LU5CBa46/Seos9WVhkYEAgCa4/4bg+0UhAEoTmj1eMhhCOhU4IgCM2U3Ikfwv/DSvXTpgMouPN3pK2/Hqak6Jrf6PVVsVGHBh2uxVkIFHphjrXtqWYLgiAILQQRGoIgCM2MoMeP7H4vQ1ubWTZ/pubS8oux+qAvgWEdkHBYW6Sd3RUmm7nS+zWbGWb4EYC5LHCKz6MAeGCBP8slQkMQBEHYbURoCIIgNDMKLvkW1rVb4Ye9wvadSEH+Kj+waj12fczHOgz47ehK7/duKoIVQZgQVM8NsWJGEFHwwBwn3gxBEIRyJCSqoUiOhiAIQnNj6rIykWDghQX5iKmwLe/37cibvkP9rQeCyLpzOtbYnoXm9pSGSoX/fOrqv2zEYmbqp5jd7Svs+HDtXuqQIAiCsD8iHg1BEIRmRPFrc6FnFimhEYAGs8rOYMiTFXFwKflQAltpWBSw9dml8OV4YFq+EzlP/AMHvOq9zMfww6z2s6ojQYkMFxwq4cO1rhArzp+B6G5xiB+Zto97LQiCIDRHRGgIgiA0A/w5bmy64Dc4vp8HExzwwYoCJKjcCooLP6yIQijJm2LCXSo0cidvRM7kzTBpQbSHC1bltzDBBwvcsKtwKTO8Kk+D+RkV0IGtLy4XoSEIgiA0CAmdEgRBaAZsuXYmir9fr2RBMWJQiLiyhG5/hEDgF3sSitAOmeiKrbDCh6BuQg4SlMig/4KeC/7tRDEcSnJ40QubkIS8CsfK+mwtVh3zvVrkrzmj5WhY/fYabP9zB/RgyAskCIJQx28QKW/bQMSjIQj7Edu3b8dxxx2HSy+9FJdffjmaA82xzfuCvO82qnRtN2ywwVcWMqXDp2QCF9wLJ5SBARUWlYI87EAqPAgledMbwh9OC3xKYBjwHW2Rqf52IQp+JVk05P24CXM7fILhW89G0BtE0Zp85M3NhslmQvrxHWCJtULXdez8eRvyF+ag9cR2SOiftEfHo2R7CeyJNpijKv+MrfttJ+a9uQZ+lx/dJ7SGaXI8tA12/OddDrM/CHOSDb2u7I3A+mxkzMxAdOto9Ll7KNKGpuxWm4IBHRtmZyNvuxudBsci2e4D2iYB5r03p7dyvQfzl3nQvZMVQ/s6YDJJEqsgCPsOERqCIOwVMfH999/j4IMPRs+ePWXEG4CtnROBlcVKDBgig/A5hUcoVIrbQ4alHZ7y98KLWBSrf/3Q4EARklCiPCOR8NgBWJS3IxR8pSsvim+HB/OcbyBfi4LmDqoz+TUNK0wakg5NR8H6fNi37kQn3za47w1g45i+aPP1mbBGmYDNOUCXFGiWyqV260rO0lxs/2kz7L8tQuysZcjRoxAwW2Ea2A6tXzkGljgH4jo4sej9dZj13CpYPT6Ygjrmbi5B0JoAxIaOk56zC658DfOeWwGrx6+2+XcUYs2Z02FvFwtbghVDLuqGHhPbqde8xX4Ur8hE/Mwl0KKswOkHoKDEBOvmXXB8Pxda5xTgtAOhOx2YdPNilPy1Fq2KM7EiOhH2gA9Dc1eh7SVDoN92LFzztyL+nk+AdRnQx/ZCydCusBcVwzWqL+IO6w4Ue+D6eA4mL7ZhbXQaWneOxsixsViwzg+nyYtDOviRODC9wrj4vEEs/LcAWzd78PUsN7J95WM8uLcdj9yYAk3T4C4JoDjPh6TWNmi/LoZv3kZk9+2OlIl9YLHULEZcXh1b8oLokmyCxbwfCReXB9iSDXRtBZgbfm8KglA9ms5pKEEQ9guaqndg3rx5uOKKK3D//ffj2GOPrfAav4K8Xi/MZjMsFpn7qI7cSeuw/ZTJiIJXCYtwmFsR7tGgpyIGJepvJnwzTIreDOZlhIQI9/bBBwfaYXuFwo0Mq1qDjhXqUTHYygEXcpGgths/GgymYlp5wKIhRivGcN9imMJEECthWTQdJj0Ir82OjSNGwnHqQHS6sDs8P62A5Z/VsKQ5oZ04GKburUJ9ef8fFL4yG4W5Qbi6d0TK8Z2R891KzF0a8sZoug5zkELHpI7bypONZE8uFiV0RyDGjhLeR76AEhkBswneGEeFsbIGfBi39h/MSR4IaFpZP9wxduimcs9DYq949f7MDa7QGAT9iPGWIGAyo8QaDU0PItrnQvecTUgIlCDj0GEo+XcLOuZvw+/dxpQdh/udsfh76JqO1oWZsOihtnNUs6IT8OnQCWiXux2FzlhMXD4D7w47FpuS2pYtwmgJBnH8kt8wcsM8ZMckweHQ8NVBx2NjTGv09WxD6pIV2OVMwR+dB2FXXCz00j4ZXHhiHNxr87Dq1yzV0VEbZ2PE+rnIcSbgl95jsbBjP3QaEYcDEwow6tgOsMc7EAjo2LTTj5T8LDz+7Fq8Ft0TxfxsmjQc1duKdwtmAW/+gk1eG54fNB5LBw/CI8c7cUz/iuWWqyMY1HHl9x58szqI4bnbcPURCRhzUAou/N6HP9cFkR6nIcmpYWN2EMmWAG4cacN5Q62YuVXHb5uCSI8BDmytYUCaBpOmIRDUsSIbaBMDJEWF+v/kvwG8vIAjqKN7vIbBcV5csn4uuuRl4vmOByDz99W474t3Eed2oSQ6CgUvXoH8E0fj0dkBrMvWcVhHDbeNNCPXDXgCQLfEiuOa7dKxowjok8JhKX9tY74ORuZ1SdiPBJkAaOfUfRT0j2TEwhChIQj7Ec1RaAi14/tnM7LGfwR/kQ8uRCMabmWE0mDlv97SUKgATKr6FBO7mWthhx9FiFahUgyvCodhUTrMiEUREpGrPBkMyHLBhu1oXWFfHq8b1mMJepU+M+KVdfgsGvx2M1J8OWjv34mkYC4KTU5kWpLQzbulovDQLNhsbYWOvu2w6+ViiXvk2hKw2doa22ytlAcl3EyLCRQiOyoWAQoBLbTEoCEStCCFTNhYWUxw2c3qdb/VDF90ZeO3+/b1yLCnlo+FxQRPxH4UCH2z16JzwQ7EeouR54jDPx0GYGtca5j99AtxJw1phZloV7gTHfJ2YlWrztgSl47smEQE2VadAiWIATtX4ug101RP/ZpFiY2dMclY0ro7sqPjkFpcgARXPvIcsfh+4KEI0ng2mZTIiHEVY+D2lZjfsQ8KHTGw+n0Yvmkx4twFOHbZr2Xt/af9ADx05CWV+mrx+5Hk8uDQtfMxYtN/6JG1vsLr1x91BbakdUNiSS4OWzcPI7sDCzcDk9IHYEF8EgpiErHDZkUgzJgetW0NZn72uPr7/QGH4ZkRx6l74pA+Zix3xGLRtoB6bUxnM7qmmPD5Ij8CgSA6xZuUgb7JY0Zbdy4mv/c0+mVswdrkVjj0knuxJTEF8OtAiQ+wmIAYa+lFDaJnioZVBWEhaEEdDgtwTGdg8npNvY20igbyKA7CU4po+QeAaI8LS164BZ3zskrv67BdAPS8+Tkljs9ZNFMJ2k+GjcGGlJAAHrptPQ7euhrfH3kkHBYNy7KBgA6kuovw5c//wyhbAXat2AV7QTG+6ncg7jjjEjgcZvRJAoavWIZOsxbA2j4Jx3k2I/WP+QDvt2smADdMLLuXFe/+Djz4OVDsBc4cDTxxDvDZLOC3RcC/a4CsAmBQZ+Db24EXfwTe+R3wBYCjBgPpiUCiE5g4DLjsNeC/dUB8NPDI2UDnNGDqQqBba+DUg4DJc4BlW4BD+gFHDQH+XAK88QuwcANdWEBKHJAWDwzpAlw6HuhUTeW5mcuBm98DNuwCOqQAybHAgg0hDxGvYbEbGNkLeO8aIDW+/H2Z+cAHf4X6E2UHSjzAgI6h43D++5xx1Z9zXyBCo8GI0BCEZgBn/D/66CP8/PPP2Lp1K2w2GwYPHqzERK9eNP5qFxq//PILPv/8c6xZswaBQADdunXDueeei8MPP1y9zm3HHHMMkpOT8fHHH1dqw6RJk/D444/j6aefViFQxcXFeP/99/Hvv/+qNpWUlKBVq1Y47LDD1PkdjtBMMkOmHnzwwUrHGzJkCN58881q2+z3+1Wff/jhB2zbtg1RUVGqzxQsbHtVfe7Tpw/eeustrF27FrGxsZgwYQKuvvrqZu0pCfoD2OZ4HOZAQAkJ1o1i5ahSM1sZSEwIp0goQHSY+cSQJyAduSqvI5SXUdFzYXhBQiuD0zjUlYcjG4nIQnmOBc3qdGRiM9Irrb7ht2gI0u43DDtNR9BqQkogG4O9K6voUchIj5zvdWs2/Jo42jhEBUx6AEOKl+K/+N5wm+wIWkvDXHQdpmDlYxVHWZQ3grP77lhHBUPO7nXDTEOWHpFgUIkUj90Cr8OmjMvwY5237HtEBbzIc8Sg2BaN1KIcfDx4InKi42H2+UOeFU1ToiJoorCxQuO2iDCcLpkbcfrSHxHQ6IXR8fXA8fi782DofB4IhI5jMsFrMqHQYYen9H6N8bgxbPMyrGrdFSV2XtsQNr8XT0x+VIVmhXP6OU+i0MH13SvTY9dGPPfds5XGak6H/njy4AtKPVNm9Nm5FicunAp7wI83Bx6Cr3qNQHrudiWO5rfqWN6nnAwclLEJ8zoPLh93k4YttojPGnNEjByVQBBgUYE0J35693EctXqREjC9bn0ea1PDQsJoaPKaGf+Gw20+Cgc9LHbQFDpPTfh1fPjpizhn8SwU2h1Y0KYzemRtR+vC/LJdjjzvDnz5+QuI84S8WNxv7JUPYmHbzur5FbN/QaYzFpMGjKxw6H47NmHxs7eWje3oqx7CrM6h7+Ubpk/Bc99/UH27XrgYuO6Y0N+T/wVOeLLi6zT4aYxHYri8GkJcFFAQ6qNiXF9g2rLq93c6gJmPhgROODOWAePuC12T2qDQWf966O/tOcDw20L/1nTO6Q8DQ7qiSSBCo8FI1SlBaOLQ4L722muVAd2/f3/cdNNNuOCCC7B+/XpcfPHFWL58ea3HePXVV3HXXXfB6XQqQ53HoxC444478MUXX6h9GLp09NFHY9WqVVi3bl2lY9DgT0hIwOjRIWMwMzMTkydPVsb9JZdcghtvvFGJng8++AC33HJL2fsoDi688EL194knnoiHHnpIPS666KIa23zvvffi5ZdfRlpaGq677jqcdNJJyjPCY61cWdmAnTVrljruQQcdpMaoR48e+PDDD1V7mjO5/zdXGaO0LEoQhRgUVzD2Q//XUaI8FuHGFkOcTMhCLApRlfEZ8omE/jKpylVpyFLJ4enIQDxogAXhMlnhNlmQp8KmKkKBEaSTodTYVw9dg+bXUWSJruacpirX2KWAqGRUlp3HjLhAMWJ9xeUihMZNFSKDtCrOUa9TOFg5OxsMqSCTz6+mugMWCwIWE7xWM4rio+GKdyJgt8Jvs0IvPWCyKxeOgAdTux+E/w0/GZ8NmoB3hp+Edvk7VDsDVosSF712rUO036VEBrer8CuemyImEFCPEhtFtw6zrmN5666Y1WWoEhmqb2YzfBYL/CYTSmw2JTKswSBaFxQiwe2FNajhtt/exuOTn8aZ876H3edBtNdVSWSQQ9Ytgt0f8iZEsiqtE7bGV54hDpgsSPAHEE8vjWpfN3zd72AMyliPrXHJ+O6rp7How4fx30ePYt6HjyC1JGT0rk9Iw0c9hyMvzMDPryrpPbzCF19XSUYaxmwIfYb/6dijosggxn1Q1f0QCBMZhH/66lARTQNOXzob3/Ydjrb3vI5xVz2I9ne/hscPOaFslwsWTC8TGSTW48btf04uez69c2+0ChMmBkvTO8JjCQn5dcmtykSGJeDHvb9Nqrld7/9Z/vcjX1V+vSqRQXYn6D1cZJCaRAahV+Kpbytvv+z1uokMQk/F6m2hv1+fWrPIMM755Dd1O7bQpBGhIQhNHHoh/vvvPzz77LPK+D7llFOU0KDXgYb/888/X+P7aZS/8847ykB/8cUXcdZZZ+GMM87AG2+8gXHjxuGVV15R3gkyceJE9e+UKVMqHIMei8WLF+PII48s8w60bdtWiY/bb78dZ555Jk477TQ88cQTSkD8888/WLp0qdqvXbt2OPDAA9XfAwYMUF4GPkaMGFFtm/n+X3/9FePHj1dig+2lZ4IeEHp36FWJhMKLHhYKKY4R+9qlSxc1fk2JnJwceDzlidpFRUUoLCwse87+ZWdnlz13rchTwoIeCHotbCrrotywCiWHB0vDmSrD6lH0aIQqSIXgShoMlQr5OXxIRha6YIMKozKOadF8yLc64TWH8iyCpaVwK8FJ54hNFB7F5mhstLUN362sxZGmCZ+b9TBjMcJ4ifMXIjroRnTAoxKbGS4FY9I78tx6EGOyFuKUTX+ge/4mmPwB2IrdsBW54ChxlRmvzNXo6toBvz3M02PirL4FKSW5OGLTbKxLao+l6T3K3lNsj8a65NJZfeXJMKNv5nqkuMKMT00r9ZSUy8Hs6CS4LKHwo41J5WMSjt9sDoVbaRoSSlyw6DrSCrNwzrxvkFqcizhPMUavn48z5v+IvOh4rIs4jtdkRkZ8G3TOL0RKcYQhWcpbB4RCnMrOqZnwZ/eD1N/0wdjpcQDQP2OD+vemf6dgxPbySYehuzbjvtlTKlyf/LC8Fva5ElWqSj+WpHdQfzq9btSLqjRFbTqjVJSWWGy45NTLUegIiWC/2YK7jzoDq1NCQqdfxuZKb00vzC37e8COzWiXX/7ZNOieuR0Of0j4RXs9SmQSh8+HJFcVn5lwokK5R8RXUs+x2JvsyK38fUXxUB9KP0cl67bX8Zx5VX4nqpd27KjxeWPDT3NdH0JFRGgIQhPnp59+QqdOndC7d2/k5eWVPejpoAG/aNEiuN3uGt9P44xhUeHv52Ps2LFKZCxZskTt27VrV3UehmgFS38sCQVFuBAhVqu1THSwLQUFBeqYBxxwgNpmCI2G8Ndff6l/KVrYdgN6KcaMGYOFCxciN7fcACAM52rTpk3Zc75v2LBh6geKYV1NhaSkJNjt5fkAMTExKszLgGFxDF8ziD68o0rkprxgSrdVRZH7Kn2RMx8jknKjUkORqjVFf0Uo/yFUuJb/6ohHAawR77eoUCoaj0FEBXyIRQE0LaAqTRnmpPIuVDehqWlY6eiCWc7BWOzogX+iBiiBg7DckvK3M/zKhARfXqlXQIMjELqnk3y5KmzKr5lh1X2h8KZg+c95eBPoWTgwb5ESJbF+F0ZnLsHwXcvQM28z2uRnqURug4MylkCvooKSLejDSWv/RJy3CDvjyvM4DCg2DMzBgBIZHku5sai8GZHXwWTG+sROWJ/YHun5VRtn7Jcy1HUdNuXBAvrvWFVRgNFDuGUZCi1mPHr4RViVGgpl2RCXijOPuQJftOuAdVEO2EryEBVhwFPkzOo8CPcecTl+6ToUszoPxZPjr8S61I4VPFQcyxUpoYpbY7esqtTOA3dsqHDNwyugxQeCsAYi7sMwIaIMfu6e78GNR56NPEc0Bm3fhEPXhL5/Gmy11GTJ8JyBUK7Md72HItsZV/Flkwlz24fCc9qEiQqDSf1DkyTt8rLwwC+fY0778rBNEu1146Vv31UTASS9MA9nLZyl/i5yROHX7v1r7s+t5R4V6+0nVX69Gi9fo+KsQxL/SQdW/r5i/kZdaZ0AdA99P0efc0jd3lN6zsjvRJKenl7jc6Hp0HwDlwWhhbBhwwY1A27kUlQFDfzWrVtX+35WduIsf3WEzxZRkNBjMGfOHOV14Ht//PFH5R2gCAnnyy+/VLkb9CaECxMSPktfX5h3YTKZ0LlzREwwY8O7dFFChHkbiYmJZdvpYYkkPj6UfJifn4/o6KpCeZo+iWf2QN7HveD5ZS1MpdLBiUKUQIcXdmW3MXfDzkX5VDK4Re3HPem3KIerh1vUuhqsUcV9DYrhRIIKlSrHoXvQxr8Ldt2LROQrMfKf1jcUNqTCkkqL6QZ1ladQIbHWXB5fX2iOUY+Onq1h+4TaVqg5sDKqiwqpyTSHckK6F6+DU3ch0ZuvkqJjgm4Ump3YZU5EV/cWbHCWG8alhwqJDV3HkVkzKySfE3oovBar6iPX0AiU5nd0KtoBt8OByMDDtBIjpENDq8LQmiJVousYsXmxCmHqmbkRWxJaK29KaFaz8kR+lN+LaG8Jvu97KBKL85HrjA/LMwldV4ZW2QJBeM1m2BlyZa1YMYsU2aOQFc1QuCjcfOz1aJ9fgKVOJ+Ykhgzotc4omJLj8fGvn+KdkcfBZ7aoceSjY852RPs9ePaQCxDF2XaGkpXiZ56Nz43kwjxM7T4Mh6+fj0M2LKnUk3lpFcffq2kqfIr9dul+3Pjfb3jqwFDOQVK0CbFRJmzO15EcBQxobcIfXA7GG8Q/KV3Q4drncfiqRSgpCODW37/FpuQ0pBfk4NWDjoSvNBTJoF1sKAJue5EWCp0KlkdjDWxnwtp8oIBLwhhelfDwK5OOYAA478Sr4PS4UWyvOK5Dt65XY37LhHPQM2M7LvvvD9j9ftj8Phy7bB4OX71EeTauO/UyzOjRD3Ze+42rcfHMX3DMivkqRcQ8fgCC/66BXujClX9PxTd9h6PE7sB5Z1yDST+9hQMWLIArIRZOLQhTTiHQLhl4/iLg+NDEjOK8Q0JegqcnhxKymah95ZHAfZ8By7eU3i+l+3ZMDSV6L9kcSgDvlh5K7mZO0vBuocRvrx/g/c6E8+VbQ9u6pwNnjwW+mBXadnBf4IEzgMcnAT8vCOVvsAx1dun3t8MGXH8McPXRlT8DL18CjH8QyAl5QstES7EHiCkN5eTf/doDP9xdvs/RQ4AXLwae+CZ0nmgbUOgOJZPzOa/Z5UeU564IzRoRGoLQDGDyM3MgqiPc4K4Kzu4zlIjGe1XQk2Fw1FFHqXAsejEoNOg9oFHPvI5wmKjN/bgPQ5tSUlKUl4O5Gw888EAl4bGnqa5vpDlX8dasZnSZegI29n4LBStdqnoUPRsUGxQUFBsMneLMMk2raHiRDafKseC+NLDL8zmCqsKUH44KQoP5Fxb4EY2S0spVNtjhRk+9PGymCFEo0Xms0HnMekAZr0xq4Gx5WeqEVlqClhPq5iBitSK09e9EmrUARddMgDUlGtbFG5G5ogTb0zqi0w1D0PaEjsiZlwXvzmIkrUxD9l/bMHdrDIpygojv6kT7neugbczCAmdvZV8aIiccip2tjjR0cGdULNUb3x4FVieiSnywMOTKH1CJ4m6zDb2yNmBjQhtsTAyJ1BhPCUZtXgC/yQxfnFOJkfSCDOyIa1XurQgE0TlvGw7cvBhtikICffC2FVjWuTd2aU6M2LwQuVFxWJVWPvMd6ylCRmwSFrQbgzwlMDREuT2qzTHuIiSXZGN9amfYfF6YAmYEVHJ9EAva9cXYdXOQ6CqP0/+278FlIo6jTm9Jiqahk9eH7RaKTB09XB78MPhonPffL5jRqS9WpXWAPQBkx6RiZ3wrlXzOa+dSnqMg9GQb/oh2IjbWjOvHdkTb9V7ch4tx6Mq5uH3mJET7Q4s6liTFIefggUoY8f306PSyu7EeDvQM5uPRQzTg2tNxgl3DyI5Vr0vxz3Yd7ywJYH2mH/9uceKbAQcAXh3Zzli89dfHGLZ1LSasWIjzz7gaptYJuH6YCdcOMSHKqsEX0PHeMh0zt5qQaNMxrq2Go7qFXiPFXh0/bQji+3U6vl6to4iOP523oY5Temmwm80oCVrw9XqGAobEcK+dWzGrfXc8f8BRaAUfDvy/ibg041xwHcjLWhVg/Pa1QN8OQNfWmFqhJ32Bv81A4cEhQWCzln2iRjFktUDHgl06BqeloP1Dd4Xug7p84O8/PfQI56TS5HMKw7+Whoz/0b13z9txd8TE05QwIVBXmKi99S3gr2VASiwwvHvd33vtMaGHsN8jQkMQmjjt27dXYULDhw+v0Ziu6f1///238nhU5SGIhHkfo0aNwp9//qlCjig4eF7mVYRDLwdDlSIFDM8VSXj4U12gd4JChd6Y7t0r/nhxm7FPS8KTGwqnyUCaSghnqJMOS9l8M0OdaHwXIlpVocpFIgZgCdahM4oQCxs8aI1s9aXvUeVxHcq3QVhxKkoFVnnKDHgXnMhVfhIzihGNLCTDogdgYySKpqkZYI3JGDYTzJ5SDwrzE3QdPYPrEOjaBv4Jg5BwdHtEt3Mitm/FZPL2pQ+DpGFclTsFmNgR6bewWlY53jwvZp41DTn/ZYfyHmhYBksntUu9K9y+MIZCxIxWviwUWaPwX0ovFNhilCdDJXnrOiwBJukGsCS+G0ZkL8Uxa2YgKyoexdYotCrOhiM1CqZvb4fjwJD4Ppfhh4+vwMrfMtU5+p/UDoecPhj+U7cgOL8QWmI0TPcdiwsuPxiTHl6FtZNz0TNzPaw7VmJbfGu426Tgok+OgKvwUMy5dQX0rNB14jjRs9SlTywOvW4wCjYVYv7k7ViW70C+zwJbazsOOzoBvsceQsGn05E5fxe2DuqPbhMG4ql0G7xBDb262DD/t2xM+zoDrQo8KNAsMOuATdeRUpyLCStn4bR+bvhfOwgzZxRiw3o3EqM1pKZbsGyNTwmO4QfEYsBgCsgwxkYBF8QDWxzAis4hgzbajuiRPXC3yYRLCoOqhO3Atma0ijU++5XDzKpiRBsNI9rwvrMo4TBrm45Eh4aBafTIPKT2OYIx91W812rWcOkAPqo+ttOm4ZSeZpzSE3h/ApBRpGPRLh0D0zS0iin/Dsp165i7U0evJA1Jjk6Yvf1aHJygoWvp2hflgT30soV5HCI5qLziXyTt4zT1aFSsFmD8IDQpWJqWHgpBqAYRGoLQxGEo0wsvvKCSv1mOtqqwp8j41XAoEJgQzaTvJ598UlWXqu39zMWYNm2aEhO//fabygVJTa1oSPA4FBDh3gLmarz33nuV2mCELTGEqS4wSZ1hWe+++y4effTRMqHCsrXTp0/HoEGDavXi7G/ogdLF8WBHDuyIQyEcEbkanOEuKK0wRb+DB3a0QQbWIgYJKFRf+DwGy+B2wE4VSsX9YpBXlpMR8ooUqzTxzWirKl2R+G52dD7YgY3z/XBvKEJavAupNwyB8/qRKF6Zjx0frlOz/a0H2xB9yInQlOHYONgSbDj0x/HIW5qrJvMT+5df+7WfrEPGjF1IPiAF0cl2rHmtFVZkuuHolwTNYkKbIh8ysBn+1j6kLG+D/JUFKgdkvbMdsmPi0LYkEyW2KOT17oL0t8fA0rFyda2j7+ytHhXaNPPOSvudfG9PzOrixNxJbRHwBtHn0BQcfVPIs2F3WnD9h4Ph9wWxdXUJ4lOtSEwrj41P6x6LboeX5xhVYPCp4GhWVehz9LGp6kHWrHJh/txixMcAo50+xLzyrArR4XU/+JA49TAYdXAdBr59SugRAcXFEb12P8WTwuHgDnsuB4Hi4ogwgWFAYXNEp/Lt48P+FgShcRGhIQhNHFZ04loVFBtz585Vng2Wqd25c6d6zkQ5VpCqjr59++Kyyy5TFZtYcYq5HhQNWVlZWLFihSoLyypP4bCELfMbXnrpJZUsTrETCdfLYEUolp495JBD1H5Tp06tcs0KelLY5q+++kqV1WUyIZOi2ZeqYDgWK05x7Q/merA9FEQUH+xvePncloLZaUYwq7x0Kb0WiBAa5St/h1bzdqIERYhBnJIfjGUyIV+FVRWpvUIJ4JxZr1wS1Q4XXKU5IO1u7ocuTwxXhntVk8nOXvHo9uien9VM6FdZXHY7q6t6GHQ4LlTNyMDn8+Hdd0NJzRP+7zBs+ysTm37fgZTBSeh2dDvkbypCbNtoRCXVbVXr2hh1djv1qA6L1YROfWOwJ+jeM0o9QlQWCIIgNBQRow1FhIYgNHFouDMXgkY6PQyGqKBYoIgIrwRVHRQaXO/is88+w6effgqXy6UMfeZmVGW0M9eCpWy5xgYFAis6RULvCr0ZXEvjmWeeUV4RigMunnfqqadW2Jfigp6J1157TZXpZblCLthXndAgDz/8MHr27KlK7bL/XLCP77nyyisrLNjXUog7qTuKn1uiciiICw44VA2pUC6MKuZT6n1gVarO2KReo8fCGaPBX2SHCb5SMRJOaKXvyCRq5nBYtSD6zjsRsUP2H6O10/g26mGQFuYdEQRBEBoXWRlcEAShGRAo9GLdmC9RuKiggkRIRq7KtaAAoaiwwo0E5KoSsqwVZT1lMFLuGo4dIz5QVWjow8hDLLpiS9kcHdcVt8FV9pzCYwvaI8+ZhuH5F0KraiG2ZkLIo/Gu+ptryVBEC4Ig1AddO6/O+2p6814ktrFpvr8egiAILQhzrA09Fp6NDm+NhT3VqhbaY54GE7lDXo5QiVlWlMpCOjajI9A5Be2+nAjH4FZIfIArumuIghcJyMMGtFVhVKwmxVwOSg0KFuZm7EIacpCEVlf2adYiQxAEQdi3yC+IIAhCMyL1kr5IHZOEGJQoacBMjcgcC3okEpCDtOcPK9uWcOdItF18EWwXD1fL9tETUoA4FCMGO9EKm9AJm9EBJXDC06czOr0yGh2erH71dkEQhJaCrAzecERoCIIgNDPsQ1or7wU9GczQoHBgaVorPIhCMVITC5H+7jFwHtejwvts/dOQ9vYE2FOdKgWcPwBWBNXaG1HKl6HDjSh0fH0cWl/VF5pJEiAFQRCEhiPJ4IIgCM2MuGuHovjrVfDOz4AXNrXYnpV/aT7E/nQebEdWLMUaju4NwJ2vK2HiQeWVp32wwzYyfIULQRAEQWgYIjQEQRCaGaY4O9rMuwCeWVsRWJoB05LNajE624XDYR5esbxrJLovAM0XUFWr1OrIka/zf74gYKl6ZWdBEISWh3h3G4oIDUEQhGYIFzF0jG4P8IFhdX6fyWmD88SeyP96Nfwwq7U0TGEig94RJUaipDqTIAiCsHtIjoYgCEILI/HdY+E8oLUSFfRseGCBFxb1b9IJHWCKqxxSJQiCIAj1RYSGIAhCCwy9Sv3rXKQd30GtHq5Bh9USQPsLOyHm/YqLLQqCIAhaPR5COBI6JQiC0AIxRVmR8u2pSNicr3IyLF1lhWxBEAShcRGhIQiC0IKxdIjf100QBEEQ9lMkdEoQBEEQBEEQhEZHPBqCIAiCIAiCUMPK4ELDEI+GIAiCIAiCIAiNjggNQRAEQRAEQRAaHQmdEgRBEARBEIRqkdCphiJCQxAEQRDC2JgVwPuz3Vi2K4g+7ay4+EAb2idIAIAgCEJ9EaEhCIIgtGh+/7sYk34uhM+vI72LHc+sNMFnNas5zK/W+/HYdB/+uTIaQ9qZ93VTBUEQmhUyRSMIgiC0WGb9V4Ln3snF5u1+7NgVwPx/StDO64PT64clqKt/9SBw9hfufd1UQRCEZod4NARBEIQWy0ffFqh/g6WPtVE2bImyAWYzvBYToGmw+ANYlaPv66YKgrCPkE9/wxGhIQiCILRIJn2fh83bffCbTAhqmhIaug4ku3wAfAhoGrJjHfBbzIDPv6+bKwiC0OyQ0ClBEAShxbF2owfvf1MAygeKDJJrNsFlMsEeDMIZCMIaDCLO5Q29IajD5ZN5TUEQhPogHg1BEASh2RFw+aGZNZhslRO0gwEd837KxOo5eUhoZYXfb4Ulil6KEAv/K8Ybb++CIwBsjnUi1RvyVjALo5XPjxi6NdRxgO06kOvUYfYHMGODH0f0sO7FXgqC0DSQ8rYNRYSGIAiC0GzwF/vx3xV/Y+NvO2ENBJHcIw6dLu2BNid2hDUuJAK+f2kjln67DUETcywAzdINKcetUq/NnJaPd9/MVH/HAuhRWIxcux3mYBAJAMwmrYLLPzUQwEZoCEQ7cOKkAD48wYSTepvhD+r4aa2OncU6julmQptYMUQEQRAiEaEhCIIgNBvm3DgH66ZlIMbjh6YDeUtysfiaf7H4tnkY9dN4xPRJwNIpO+Cx2+DweqEFdHhMVuT/11a9//NJeRWOF+MPoNgSQJLXB6vVgjxbRY+FXddh0nUVXlXi1nHK514Mb6thVa6GfF9IXJi1AN6YYMbFg6T8rSAIQjiSoyEIgiA0G9b/sRMxJX7ApEE3awhaTQjyl6wkgBnnzFClaP3QEFdUDLvXB5vfj9gSF3yb6b8AcouY8l2RBK9PBUY4ApVfK7SYy3I4WHqGUVVzturILw6qvA0S0IFLfwzg7ul+/LtD8jgEYX9Dh1bnh1ARTddLg1EFQRAEoZEJ7sgH8lww9UgFlm8F2iQhqJsQ3FEIc980aAxvqoUtr6/CltdWwmczYdfGIrW+RegXLPSjTq+Fya/DazPDcn5PLF9YDLunPCeDBEwaOhyUgo/z4pCe7+aPH3RNg8+kIWAu90Tk0qthtahju8wmrIh3ooRVpwzC7Qj+XVoCt+y5VcOjY0y4a4R4NwRhf8GnXVrnfa36W3u0LS3Oo/H9999j2LBhmDdvXuO0qImeszn37bLLLsOxxx5b6zZh3/LAAw+oa7+32L59uzrfG2+8sUeOz2OzT8J+zK584P++A+77Ali2pcJLejAI90WfoKTtAyjp8xg8lovhGfAA8lPuQ27ao8gf8CJykh/FtoM+xI5zf4Breuj9elBH5tcbse62udj1+XqsuX0e1l45C97F2chbnQdLQFchU6qwfdg8mc9ugjfKjPV/Z8MUCFRsC1+3WLBqfhE6ZRWqfAz++Jl1HQVmM3IoLEpJ9PnRvsSN1TEO/JcUW73ICD+40Q7+EwTunqljW0HFNgiCILREJEejkfjrr7+watUqXH755difYR/ZV4qUNm3aYH+Hwq+wsBBnnXXWvm6KIOxbFqwPhQoN7aqe6ks2ITj8PugeWt8aAo/8Cm9iK8Bph/3GMdBSnHC9Ox8+RMEGD3QkIQgNHjig65qy2X15QZTM3oHg7F0o/mgxbBYv3AEnvLoFBYjCVlhhhh8mmFDisCJoNpfZ+lqZfa/DZ9Hgt5pgCQThLHQr74Wumcr2LXJGw2u3qb9jvV54zGa4bDYlONwmK/5OisOY7Hwk+AMo0TT8l+BEpt1a7qngicxa5VW7whLHyyjdp/ObAfx5hg5oZrR2Al0TJKRCEISWR7MUGhMmTMARRxwBq7XplBmk8T1lypRmIzReeeUVNCRqbvXq1XjrrbcwdOjQFiM0duzYIUJDaLnkFgHjHwD+Wx963qstcM0E4Jq3YYYemtCHAwHdBkvOLphz3MBNa+CBFT7EIhepCMCKZGTDhWhYEIADHiU6ShANvdSx7oMdXr8dJuiww49kFCIbsUosUGoUxVhhjXAS8LUSuxlFcXb13OwLwmu1QjeFWsZ46YDFXCYyDOyBAHx+P0yahtYuDwqtZnyfnoxorw8WH1sGxBZ54LVZ4OYq4YT5G/RuGN+bFBmGEDEaYy3f5tM1jP6UQiPU6ANaA7+dakKsXVIjBaH5IRMFLUJoFBcXw+l0wmw2q4fQcJqSSBOaNhSkLpcL0dHR+7opwu7y9h/A/V8CecXAkE7QR/aA3q8rYDfB9OzXwMKN0OOioPs1aP4A0DYB2qrtoXggg5U7oV/zVoWfXRr0FhSXpkJ6wDW2aZ7HIBeJ2Il1GIJMpMCGIKKRq97jg1WJDJrtfiVZQkfkmYIIwowgouCBC47QdrMGnWFTEV1yRZd/l+W2SgBM9H8Qtgbwh4uBMLwWCyzBILbFxmBofjGWOh0w+UMiI/RuwO71w2c1Kw+JEho8oNVc2ZPBE1oihUfFfebsBOJfCiLRHsSYdsDhHTUsydTxycrQua4bquGR0fK7JgjC/oWlMY2RDz/8EF999RV27dqF9PR0XHTRRZg4cWKF/b799lt8+eWX2LhxIywWC/r164dLL70UgwYNqhTfzffSe8EYcs6k9+7dG2+++aaaZX7wwQfx+uuvl8W01xTbzuOEx4rXtw0nnXQSXn75ZSxfvhx2ux0HH3wwbr755jLDi/kO8+fPr9SO+++/X4UY8TyfffaZ2mfnzp0IBALo3LkzTjnlFJxwwgloLAoKCvDiiy/izz//hMfjQZ8+fXDjjTdWuS/bzJl6jqXBunXr1PguXrwYeXl5iIuLQ6dOnXDuuedi9OjR6jrQm0GuuOKKSuNLIfj+++/j33//xdatW1FSUoJWrVrhsMMOU+PrcIQMBsIcFB6DY8R756OPPsKWLVuQnJyMU089Feeff36lNq9cuRLvvvsuFixYoMKZkpKSMHDgQFx11VVo165d2X48/wcffIBly5bB6/WiQ4cOaqz5qA+8dhyjyOsaft/xmr799tvqXH6/X40X278717WoqAgvvfQS/vjjDzWmvXr1wk033aTuU2MczjnnHFx44YW4+uqrK73/+uuvx8KFC/Hzzz8jKipKbeNz3hsMfaNY5zU5+eSTK703/LpQXPBzwmt5wQUXKG8d+8hr9cMPP2Dbtm3q+IMHD1bv6datW536V9fPHz8nvN7cPycnR11Hfqds2LBB3Yffffed8qo9/fTT6vP19ddfq33CycrKwjHHHKO+R9inFs0rPwPXvFn2NDhzNfwzd3JlCfXcBBdMCCCYRbOXBq8ZWJWnDP6KJnMgQmTQsHeFQpmqmPezwosE7EQmeG1CXgajhkvo/RUrtXCrG1YEYCoNtaIVryMxx4PCOBtMwfJzuG1mBFRIkw6/xQzdVB4uRVRPAgFowaB6rawHTAKnp0M3odhqQZLXj4O8RZjrDH1ewjH7gwiog+ohgcESU0wSMZcejwLD+LsW2LccDzB5HR8VPcqP/qMjx+XHq+Ob1fyfIAhCjVgaMxSHxi2NcpvNpgQHjU8agIYBQUOHBmDfvn2VcUhD9JtvvlEGzDPPPKOM2XBo2NPYotEWKVgieeihhyptmzlzJn755RdlkBrUtw0UODTWaXQeeeSR+O+//zB58mSYTCbcfffdah8aPzSWaQCHt2PAgAFlxhsNUh6bhpHb7cZvv/2GRx55BLm5ucpg3F1oAF5zzTVqzGhU9e/fX7WdfYyPj6/1/RQWV155pfqbBmjr1q3VthUrVmDp0qWq7Yceeqgy3DhebDPFEjGM/MzMTDU23O+oo45SXif2m+NNA5diLZJJkyYpI/K4445DbGwsfvrpJ2VkU6DwGAYzZszAbbfdpgzb448/Hu3bt0d2djZmz56NtWvXlrWBxubjjz+u+s/rwv0pPJ544gllGNMIrysUk2wzx4GGvoHR7+nTp+PWW29V4oiGP4Un7zdeV56rKhFQF3gdExMTcckllyA/Px8ff/yxajcNa4oECg+Kbhr7NPDDvXsU+f/8848aT0Nk8PrxPmD7zjvvPDXObGdNhvenn36qzs3PHvvH60Huvfde/PrrrzjwwAPVfcJrQNHA+4HGP9tWE/X5/D311FPq/qCo4/jyOjz55JOVQvbYRgoNjg/HLhyGM1KwNKagb7bc90nZnyEvAsu9lhvI9B+EKL+f6JmoLWAgfJ/q9k3DVqQiFwGYUYhE6LCpwCrmXzCsKhyGXHlgKQvLsiKoPB42XxBJ2W5kJzvgt5pREm2D3wwV6kTCK0dVbB/gLHEhLzZGJX/7zCYUctJDM6QOUGw2wREMqtcpQsIJsF4uj+IIy9kIlP56VrEq+e7wxmLg5cN1FdIlCELTQcrWNgGhwZljGhBGSA5nTGkQfvHFF0pocPaSHg/OQHNG2NiPBgBngGlAjBw5soLRtH79eiVgaNTUBo3rcGhwP/bYY8rgNPImGtKGNWvWqFlVYzaZxhVnmWnUUIDQeBsxYoSaPabQiGwH4Yxq5Gw6k4tpJL733nvKY8CZ3d2B7WGfOTMcnidCo/jZZ59VHqaaWLRokTL4aaSPHz++yn26d++uxBMNQ16TSC9S27ZtlfEb3pfTTjsNr732Gv73v/8pg9cYRwN6eChKY2Ji1HPeMxSVn3/+eZnQoDCjB4v70OhOS0srez/7GwyGDA2KIM5uM3/n0UcfLduH15bb+V5ev3DvR03Qc/XJJ58oAR15XWm80hCmMU8vTmpqall/Of7cRnEaOcNeF2is33HHHWXPu3Tpop7zHjO8ECeeeKK6vym0wo1zeqjYNo6jAa8/x4jXoGPHjmVjcvHFF1fbBuO6hIt0ChiKDN4fPLdWagzxOe9hjjG9O9VRn88fvWsUGXz+wgsvKGFPDj/88Er5MvSk8L6kqKBYDv/88nPBzwDP2VTg54yCkd5Rw4PFiQoKQOO7lB47CjwDetbCP8ORz3m9KAaNa1LpHLuyEZNTFNYKw2tRER3WCLFQu8FbN5PYEqoEiwASkYUdaK8SxNOwESWIQibaK9FDw98LMxxqJYwQ/HSHgrJCieAxRT5kpdlUKVu721tm/NvdPhRGtkfXYWa4laapSlS7EipOunAhvrYlLuRbrSiyWuCNssLkDp1btcVmgcOsIcXlVcfOCRcbHuZslAo1lQ+/++KAufa7SnS0dmq7f833xn0l55CxaqL3ldB0aLSsNBoK4XH/NAZpZDEchkybNk3dOJxRDd+PBpoRosJZ73B69OhRJ5ERCW9izkDTSOIsqXHzNqQNFCqRxvHw4cOVMcfyoHXBmFkmNFo5M8swJwoUihYaYI2RjE4D6+yzz66wnQKHH+DaMAz9v//+W33IGwLH1BAZ9LCwj+zrAQccoLZRaETCcTfOTRhexTHfvHlz2TYa0zwO+xYuMgwMI5ReIn4h0cjm/uGPMWPGKGN7zpw5aAzo6eF9Rs+BITKMMeD9xXPxfmsIkYa0IeiMzxKhCKPIpQfJgPc2DWsa3sY9yy9whsKNGzeuTGQY7aypkhbFcbjIMO4xQk+R8QNhfE45vgzPooeuOurz+aMHi5xxxhll15ewb/zcRELhRaE5a9assm30pvE+ChddTQGOq/GdRHj/Gz+ohB7h8B9UEvkDGvmcHsjwa1LpHGnJQP9y0RsKVvJXapuGimtP0PPQODN5FX9qolEEk/KpZKAVNqIzFiMa+TCpzI2KXhS+065cCOXYPX4k55Sohfvs3oASFEqE5BXC7PeHngeCsHp8sHq8Kk8jrrgE0SWuUDJ3WUK3Cc5AEG3cHsR5fSr8qiA+CsVOOwpjHXBH22CjwcN9SjxoXeKJ6JZWnq9hrO2xmyTYGuma7437Ss4hY9VE7ythP/RocDY7Eobs0BgjhlHetWuoNGI4xjaGmzCvwKAhs8E03OlpYHw5vSHhxlJD2lBdvwhDS+oCw0OY+8DZ4IyMjEqv0yDfXdjulJSUCka78QFlHzgbUBOsIkXjkjPiDF/iGFDkcbaaM+p1hWE0nImmN8rwNBhU1Ybqxjd8bA3RUVtYjiHYGJJTHTS8GwPjXqpqbMLvpYYQOSYJCQnq3/AxochgKB+vF417hloxrI/nZMiXgdEG5o5EUtN1reqzxz7T6DdCxyKPRSHC87EtVVGfz5+xb7g4MuA2CuJweJ9yUoHCa+zYsWob/6ag4X0tAHj3WuC4x4Htoc+AGQXwI77Us8FMixKYUYKACqkK/TRodo2xTHWmqhyNkASo+FPDLQFEoxipiEYWnMhHeyzHWgwsy92I3N+gJKai14UhVUzW9ls0lTph9fphLRVRFA4BiwXmoK6qT7UuKITL7UZGfJwqlRuOLRBAoseHHc5QaFao8ToSPOWCLMntw85oe8h7YQ0TT3xuCJjd8GyM78AILalKJQjC/kOjCY3wWcdwdmfh8fDk4bpAL8Odd96pjNznn3++SoOmvtRU3aqufWMuB/NFOOs6ZMgQZUhzvDj7ytCcSIN8X8HwJIbA0IhjGBiTft955x3lHTr99NNrfT/357hzxpkz0RQ+NPSYu8F8nar62ZjVw4zrwX7w3FVRlbBpalQ3JpH3G+8nhrExXI05DDSsKSyrCt/b05+9fQ3be/TRR6scHeaNcHbs999/V6KjOuHT4uD6F5veABZtBNokwrR+F6xbcqB3aAWtdSy07HylFCzx0dC9OhBtg9Y1DXj1Z+C6t0NVl0rRTRq0KmbwAyrPgyFOXuWX8MEBNxIRj9wyceCFDS7EqByMYqShBEkww4etaAMvolSoVCiIqhyWtw1qQHGMDQFzxYRvYvEH4bOYKuRpUGT4SsvaMkRK8/nht1oQ4G9VmBigr2R6Yix22K3oV+xBdDCInQ7Wx9KQ6vbCyepbkbCMbVVlaqtSWqXYTEDPRIDVf4e0Ai4eoKlt987UsbMEOKUH8KhUnRKEJorkTTWUvVbewjDwGHsdGSNPYRC+T0NhjDiNZMazM7Z7b7Yh3A0YOYtPkUHj76677qrwWmOF8RjtZtIzw57CvRoMJeIsMStI1QWGpvDB8Ba2ndWfmBDN3AP2sbp+kh9//FEl6jLhN1x4Rs4+1xdjVpthNVWFzRgwQdzwADQk5K4qquuvcZ8Y982euJ9rgzP/PXv2VAKD4UEsnMAQqfDkfyNxuqrwvKraXhPsD8Uiqz4xXyccbjP2qen9df38Ge3etGlTpX25rSpYiIIeNeZq8DPA3J6mFja1z+E6EKUL7iE9KZRaYLzWpTwsscJdf9VRwLHDgM9mhkq7njUG2uQ5wGWvVzq8Wa2PYQdOPAjeaeuQl5OIoEr7diABO5CLNOQhRXkcYlGi3qPDAp9K/g4JGXo0mCVhKU0G96mAKhPy423w2SzQWeQpQuNwe0lcNHRWfyoV5FwJnPuWwaJRgSCK7Q6YgjqCdH9oGlY5Hci0WdHD7UNcMIi4Yg86FnuUAMkMWzGc5HIRP6O8beR3g5HYEcbELkCfZA2d4jWc2UtDgqPy98nRdXcYC4IgNDv2mo+WM4s02pgMyvh9A8ZVM/yD8XU0mhoKPQM0Ms4888xqy5juyTYYeRiR4VSGwR05G81zsmxnY0EDkx4dJjyHw4RehpPVBtsd6XFgjCQNPxpszC0J72dV4V6cief4hveV48yE992B4oLigX3juEVinI/hM5zRZxletjkSijAKr/rAECX2NfL6MYyLcaa8b8LbxP7y/uI48JrsaejVoJHPxHReo8jqSoxrZc4L8yPCDXSfz6c+M/XB6A+LI4SPB6t+sQIXiz7U5D2oz+ePOR+E1aTC70uei0npVUHxw2pWzFOh+OL1qUmYCvWgfQpw6wnADccCaQnAJeOBiUMr7KIfOQj46W6YXO/B/PV1cP5xI9o4VqE1liIR61CIlNLVMSxww4ECOOGFJeStgAnxI1JhG5wCMxfma+OENrwNvF1T4DLZlPCIy/MiJasEfmqJsPP6WUUqoVRklOJKiILORG2KgbKHaqX6l3uagkHkWa1IDeg4JL8YyRGeC/pGEnx+FLDClcWEjCgbdjjtVeXQhyg7R+g8/5xlwvcnWfDkODOuHGSqUmQIgiDs7+w1j4axHgMrU7FSEI1Co7Ql/3344YcbHEZD44MhOzSqaKhwZj0czoiyKs2ebAONOVbYYhlVVgEy1gegoU5jh3kPDOegIcSkV4Z48LW65nnUBpOS2Q+WGKUHg/2lB4AJ0uw/RUhNMPyGhuchhxyi9mf7mUzLRGyOkxFKw/ZTPDGkigY4hQf7wb6y0hi9H9ddd506DgXO1KlTd7uiFs/Nsqq33367CuEyytsyN4FGJ5OaWSGKVSzozWJ5WRYnoBeJxiv34z3CHAKK0fqsaM5+MTGZhjzHlH1nMQDm/rDcLsvb0utDg5+ihHk4S5YsUeVeG5JjVF+YFM6qTLy/eB2MxPtwmLPESlisMsVxMcrb1nZPRML7mPcC30tvF+9zo7wtBd4tt9xS4/vr8/lj2KMRGsacG15fJvXzXPyMMxm/Km8T38PrT3iO6kI6hd2EYz/5TuCXhQAX9Dt8ALS+Eff7wE7Qtr8F69f/KA9A8vEHwDNtM4KP/IuiRfnw6XbYeyYgdqATtrOHw3ZMT7Sr4poWL8/FitP/hGdpNgqdNpU/YdYDsJTqzyD1RKnwZWnabiOTsD1HR852T1koFUUFH1ykj9WnYLGg2GpVpW4NWNo2GHH+uEBQJYIvSyz1EttLvRlVJX4b+Rm6jkv6aTiwjdx7grC/IOVtG85eXRmIBigNRBoLNEgZv0/DlYYBF/1qKDRAOOtJoyd8YT4Dlks11rTYU21gYi4NexphjA1ne7hOAY0/GlBcG4IGKw16np/GEw1w5hM0BuwHk99pdHL2mmE0DK3hNoowY+G5mpLB2X62kTPMNPhokN9www0qbMqAs8T33XefKt9KUcWZaY4vDXIakZzp5mwyE3Mp/GhMUgTRwN0dOJvO0qmcTefxaZjS2Oc1C18ojueigc98EYo5GsT0hjD8iqVPIytX1AYrXVG48ZoyyZ3XlaVZeW7O0L/66quqbCxn6ekloDF9zz337LV1GxgixDHmLD4rN1VlfPPe533A+53Xje8xFuxjLk194L1MQ5/hSbyvKDSZd8SxrcuCffX5/FE0siIVrzfva15DbuPiiBQa4VVKwj+Hzz33nCoGwXtB2INQxB01JPSoDhroFx+u/uSd6TixL9qd2BfBYh/0oA5zbGmJpRpw9knEsCUnwZftxoaZGdh5/Vz4LBro6GKSNxfUS91WgGWDOiI1Ixejru6Oj+5eqZLADYzE71Hnt8XcZQHsWOuC11Hx/rEFgnBZQiV0CX1u0bqOJK8vJCx4QiMvgzqDC/dxscAwkTEsScctB2o4va8suicIgqC++/XdydYWBGGfQ8HHmX+KDWNhvf0Zemjmzp2rBHWkB5KhcfTyUGRXtUCk0LyhOPm4z7dw7nKVVZlS62QwnyLFiS7DE3HYx2Px6tn/ITcjIkxS13H8fd2QFRWDr59cjxyHAwURYmNDlA2ZDpvybgzKK1ZRUlkWM2YnlZbatJigOZg9Uiow+A+1h1nDsNYa5pwTCh8VBGH/wqOFFjSuC3b9tT3aluaG+HYFoRnDvBOGTR100EH7ncioKs+GC2iyuADD16oKc+RYMKSPIVTC/odm0nDgoyEPitWvw1IqMoJOC0bd3Avj3j5IvdblwMq5QkwM7zQoDqOGRGFN22R4WNxCrfodoshswrYoG2L8QfQrKIHbpGFhlB1Lo+yAP1gWLrXmSivWXGnBdcNMGJIOHNTehEfGmPHbaSIyBEEQIhH/bhOGMfQ1LYBmwCpD4QugCbUb51UZseFwPMOrNzUUhnjxURM0mOtbgpU5Jwx1Yygej8+ckP0Nhmcx32rUqFFqfFg5i54bhhwy5yQcJqMzPJDr1XBND+Z0CPsn3U/uiCirhqX3L4Anw43k0a0w7OUD4UgrXxh15OltseyPLLiLjDwkHc5+O2GPNsNq0fDibSm4/PFMzImNgUOtf8ESuQG0LvaqaKgMiwXLouxqoT8FRYau44UJdnRNCs3PvXCkzNMJgiDUhgiNJgwX96tLnDlzBozVo4W6lUGmEVsTzDug0bq7MHeDCfo1wYR1Vl2qD8wZ4XG5UjqT5I0cpP0JVvZiAv/nn3+uiiZwhXve55dddlmlxRv/7//+T63X0rt3b5Uj05jrswhNj3bHdVCP6ohvZcelbw7Egh8zUFLgw/qi2bCmlAv+7u2suOLoaOT85MLKeCcG5xUh1eNTBXZ32SzYYrOWiwwDHbhkaO05JYIgCEI5kqPRhGG50oULF9a6H42ruq6TIYTWbKBRWhMcT47r7rJ169ZaVwhnUjNLwwqC0PiwSAOLSBB6/sK9v7fcvQXLduiwRoiKBdF2bLVFigodwacTJAdDEFogkqPRcMSj0YShAdpYC88J5TC0ho+9AUsFRy44JwhC0+DJB9vhghu3Ij8iurGn24ttViv0MAFiQ80LlgqCsP8i5W0bjgSZCoIgCC0Ss0VD5z7RlbZbdKC314eEQADRwSBSfH6Yo+XnUhAEob7IN6cgCILQYjn7mDi4zVrZauNeTUOh1YLYoI6eXj96enzIirLhloMrr9siCIIg1IyETgmCIAgtlp4drPi/W9Pw+a9FKCwOYNTgKCzcFMDsVV7sCJpQHG/Dk+PsuHWMVPYThJaLhE02FBEagiAIQotmYHcbBnZPKnt+xj5tjSAIwv6DhE4JgiAIgiAIgtDoiEdDEARBEARBEKpBqk41HPFoCIIgCIIgCILQ6IjQEARBEARBEASh0RGhIQiCIAiCIAhCoyM5GoIgCIIgCIJQLVLetqGIR0MQBEFo0RR5dUxZF8Sq7OC+boogCMJ+hXg0BEEQhBbLs3P9uHla+fMhaUHMONOMaKvMYAqCIOwu4tEQBEEQWiQLMoIVRAaZvws47IsA8j162bZsl467ZwRw7NcBPDUnCJev/DVBEFpGedu6PoSKiEdDEARBaJ5kFQDrdgIDOgJR9nq//cY/qw6V+mcHMPbTABZdYEEgqGPIBwFsLgy9NmW9jr+2AD+eLD+fgiAItSHflIIgCELzguLi3OeBf1ZzqhGIjwY+uwk4aki9DrMiu/rXFmcBs7YFsTI7WCYyDH7aAGzM19EpXmYvBUEQakJCpwRBEITmw0/zgW5XAbNLRQbJLwHOeg7w+et8mOlbdOxy1bzP+0uDeHtJ9QnkgiAIQs2I0BAEQRCaD1e8VvX23GJg1fY6H+bOGYFa95m+BVhejdejT4p4MwRBEGpDhIYgCILQ9PlrKXDfp8DmGuKdDn8AyC+u0+EWZ9a+z6o8oMBb9WvX/C6lcAVBEGpDhIYgCILQtIgMgbrxHeCQ+4CHv6z5fRl5wGOT6nQKb+0OjRp5baGuqlEJgiAI1SNCQxAEQWgafDwNaHUBYDsNOOA2YOkm4O8VwPNT6n6Mr/6u236NoBG6vhXAvB3i2RCE/R0pb9twpOqUIAiCsG/RdeDoh4GpC8u3zV0LDL8NcPvqd6wdebXuwjUyGiOXO98LHPhJENsuB1rHyLydIAhCJPLNKDRJ3njjDQwbNgzbt5cnd37//fdq27x58+p0jGOPPRaXXXbZHmylIAi7JS4KSoAvZgEp51cUGQb1FRnEW3PlqXx3EB1e2824qTCCOnDRVPFqCIIgVIV4NARB2C/IzMzESy+9hL///hsulwtdunTB+eefj8MPP3xfN02I5M8lwPkvAVuyGn9sAkHgnd+BMb2B7m0qvXz0pCAK6l4Ft078srFxjycIQlNDqsw1FPFoCE2Siy++GLNmzUJ6evq+borQDMjPz8cll1yCP//8E6eccgpuvvlmREVF4Y477sB33323r5snhPPjPODQ+/eMyDC4+BWgxzXAYfcB/nLvRaEXmL2j8U8X0IGB7/lRLGtrCIIgVEA8GkKTxGKxqEdTo7i4GE6nc183o8mg67ryHkRHR+/Tdrz33nvYtm0bnn32WYwdO1ZtO/7443HhhRfihRdeUF6Nfd3GFkF2ITBvDXDN28D6jFB4lNUcii/igxj/7g3+WIrAAXfi/YsvwRJ/O1xVzRIcjQFXEr9jegAvHd70vrcEQRD2FfKNKOwxduzYofIkLr30Ulx++eVl26+55hr8888/uPHGG3H22WeXbWeYCw35r776SuVovPXWW2o2uk2byuEP4ezcuRPPP/88Zs+erZ4PGTJEzWhXx7///osPPvgAy5Ytg9frRYcOHdQsOB/hsO30qNx00014+eWXsWTJEsTHx6s2MfeD/XvnnXfw3HPPqXPzWIMHD8att96Kjh07VjgWX/voo4/w888/Y+vWrbDZbGpfjkuvXr3K9gsGg/jss8/UOZifomkakpOTMWjQINx1111l4mvRokX43//+h1WrVqGwsFC1q3v37mqs+/fvX+drxPF+//331ZiwXSUlJWjVqhUOO+wwdSyHw1G2L3NjrrjiCtx///1KXHz55ZfqPRdccEHZ9f3ll1/w+eefY82aNQgEAujWrRvOPffcSuFL3O+nn37C6tWrkZOTo0QA+8jjsx/1ZerUqWjXrl2ZyCBmsxmnn366ai+9Y+PHj6/3cYU6klMY8lIs2tj4dWR3E8fSTcjfEoXC9D0/QfDyQqBTvB83D5efVkEQBCLfhsIeg0Z627ZtMXfu3DJD1OfzYeHChTCZTMpwNYRGUVERVq5ciZNOOqle56CRTaM/IyNDvZdx+fPnz1fn83g8lfb/+uuv8fjjjytj/KKLLlLhNTSyn3jiCTUjfv3111fYn8e98sorlaF86KGHKkPcgMa2YdhfffXV6v0UCRQ5NLZp6BK/349rr70WixcvxoQJE3Daaaep/n7zzTcqRIyCqk+fPmpfCpfXX38dY8aMwcknn6zGiYJj+vTpSqxQaGzcuFGdjwLkjDPOQFJSkjLWOa403OsjNJjXMHnyZNW3o446SrWZ40chRhFDgRXJp59+qkKVTjjhBNUGChPy6quvqvYfdNBBSjCw7QxlYvjSbbfdpvpt8MUXXyhxdOKJJyIlJUUJFmM8KMgo/upKVlYWdu3ahaOPPrrSa8ZYLF++XITGnuTqt6oWGU2E5JKivXauW6YBJ3TX0TVBYroFYX8qbys0DBEawh5l+PDhmDJlCtxut5odp1eAf9MopPFMI5zGM41bzoCzqlR9oEFMQ/y+++7Dcccdp7adeuqpeOaZZ5RBHGmQPv300zjiiCPw6KOPlm3n/tz+8ccfK+OeM+MGFA/33HOPMqojycvLU7P19MQYJCYm4sUXX8ScOXMwcuRItY2i47///lOJysY2Qg8KZ9zpjXnzzTfVNhrmnTt3Vl6ScChUDOgN4hiyD/369cPuQCH4ww8/VAhToyB47bXXlMdk6dKllc5BDxK9ThQ4BhSJFBkMVaIIMqAQovB65ZVXcMwxx5SFnXEsKPLC4etnnXUWPvnkEyVO6iOWSGpqaqXX0tLS1L8UIsIeZOqCJju8WY5o/N2px149568bdXQdJIaJIAiCJIMLexQKB4qJBQtChgi9GzRQzzzzTBW2w5lmQu8Gw4TqKzT++usvNatOIzWccOPf4LffflNeAcbuUySEP+hBYNgSBUI4nHVnCFVVcMaehnSksCKbN28u28YQoU6dOqF3794VzslxOfDAA1UYFIUDiYmJUUYxvRPVwX3ItGnTqvTa1Aer1VomMtiegoIC1bYDDjhAbaPQiIRjHS4yjD7y+vG1yLFlOBOvNUWmgSEymONB7w73o0hjyFlV56wJY+wYjhaJsc3YpylA71P4dWP/6Zkz4D2anZ1d4T0M06vpOcUfx3KfnaNTSNA1Re478gz4zXt3Ti1Jz92310POIWPVwu8roekgHg1hj2IY3hQYnM2noBg6dKjKS4iLi1PbBwwYoLYzNp+GfX2gx4FhR0aYkgHDcWJjYytsY8gRueqqq6o9Hr/wImf8I49twBl0u91eYZvRfoYWGWzYsEF9idZUZpWGduvWrZU34JZbblEVlHh8jtXo0aNVzgRFAaFH5scff8S7776rZv8ZHjRixAgceeSRDarSxVyLSZMmYf369UpshRP+ZW9QVVgT+8gfjsg8l3DCfyjoAWGIGD09DEGLHPP6YOSR8McoEmNbeK7JviZSpBnCMVwcUTyHE3ldI5/z3tmn53jxEmDcPXs30buOnL5kNt48aDwCpqo/x43NuHbAqYOSlPDer6+5nEPGqgnfV42NhE41HBEawh6FXw7Mm6CQ4KwyZ6uZLE1vAJO2KTQYrsTkYYbN7EmMGZQHH3xQCZGqiDRyazJQ2YfazmXApGgmv1cHZ/MJRde3336rkss5ZjTEmUDOMKa3335bCRl+6TIfgmPJMCqGnRnJ84888ggOOeQQ1BXmQzB0i0KF3hmOCwUNw5EeeOCBSsKjpjGhYcWwserGpWvXrmWzWcyrYRgVczLo7eEx+X6GvEUKj9owQqaMEKpwjJApI4RK2EOM7g1sexu4/zNg5grAYgKiHXSTAUVugLdRRh6QX57jtLcYtWUNziqeia1JKVht64NtxXsupGlkOvDH6eYKIkMQBKElI0JD2OMwHIox/czJYDK4EZZDbwdLj3KBNRrmhvejPlAYbNmyReV3hHsemI8RORvfvn179W9CQoIKWdpb8Ly5ubmqfzWJEwNWYKIHgw/D4/Dkk0+qpO3zzjuvbD/mThj5EzTemVjP3Ir6CA16RljVK1Ig8JrUt498D2eqmGNSE8xDYVI9S9FGhsrRE1RVCFRNUBxRSISHZhkY2xi2JuxhWicCb1xZ8z5rdgAPfQF8NG3PXw6TBnRPB965GqOXzgCwDued3wdRL+2Z01FaPH2wGSYRGYIgCGVIjoawx6GBzZlxzrjTEDWSrbmdoS1cA4EigeVe68u4ceNUSA4TmsNhydZIWN6URixn/6uK2WdcaFXhN7sL8xbYRiab1xZSxBCqSIzyt8yfqG4fVn6iVyQ8ZKsucNw5+xrugWGuBq9JfWA1LcKkb4q+mvpoCJpIrw+rTkXG4dYVho2xchXFrAHbwUR8htCNGjWqQccVGhka/h9eD2S9D9x/GnDccCC5Yohjo+D5HAhMAla+DH14t7LNZhNwfMix1ugiY/oZJhzUVjwZgiAI4YhHQ9jjMM+AxiXj+MMTqxlSxdAq5gYwz6AhC+Fxhp+hRazAtGLFChWew3AjlpKl5yLSGGc1I4YXsdIUjWPGddLbsHbtWpVYTu9Bbet21BcmvrOELr03DBWjwGJf6YXgc0P8EOY4cCz69u2rQoLomaEBznAm5mYQhlExZIq5G/To0GCfMWOGykEJ93jUBXpNWML2uuuuU54QJm1zTYr6LpbI9jIcitWzGALHfBSj/bwuXMeCbSY0+ll1ipXCWOGKQoAJ8fSIUIRWJVRqg8n/TPZnhTB6dnhu9oPFBrhNFllsYlBcPFBaSMHlAbpfDWyrmB+1W9hC+UxV8eExZhz/TQB/bmm8041IB0a3k3k7QRCESERoCHscJn336NFDJQBHhsrQ6KZQqG+1qfBjM3eBYTgMAyLM/aDhzvUvImEJXCYzMzeBa2owvIqChNWOuH9kwlljQKOdeRAMH2MbDVFBY5gG+sSJE8v2Peecc5RRzpl4eliYJMfwKJaN5RgaXhwa8DSsmbzOhHSGLtGgZkWt+sDyvBQqDMtifgT7T88Px4lirD5QaDAxn2uJsLQwcy3Yfoo/JrgbUEwwVIveDya0U4QOHDhQjctTTz3VoOohvIYUYBQwXKOD52YI12OPPVYm0IQmSpQdeOkS4KSnGud4lpqTvmNtGv443QLL03401lKCr43fO4nmgiAIzQ1Nj4xfEARBEIS9zbRlwNnPlXs2KBj+dxWwPgN4bBLgq6MsGNoFmPd02VPmhVHQEgp2o3pb+qt+7NzN3PSOccC3x5swqJV4MwRhf6ZQu6nO+8bqz+7RtjQ3xKMhCIIg7HvG9QW2vg1MXwZsygTGDwwlmJO4aODmOuYNvXZ5nXZLj8FuCQ1mYyy/0Ixoq+RlCML+jpS3bTgiNARhP4MzuHVJCmfyeHVrhDQFGDpW20J7nJ2u79orQhNnbN/K2246DoiNAp78GliXUf17p9wFDO9ep9MMaw0sqGXBeEqIWBtQUEWNiFO6Q0SGIAhCLYjQEIT9DCZWX3HFFbXu99133zV64ntj8vTTT2PKlCk17sN8HCagCy2AS8cDlxwOOE4DvFWEUbVPBo6pe67XrcNMeGtx5XViwrl+CPDh8qpfe+5QCZcSBEGoDREagrCfwaRxJlrXxp5IfG9MWEHr6KOPrrUYgNCC4BoVTBy/PFRQoQLPXVSvQ3VPMmFAShCLs6rf5+4RJnywvGoxkmCXkClBaDnI572hiNAQhP0MGt97c0HCPQXLH/MhCBW47EggNR645X1gZx7QOh546nzg5JH1Hqja1taLs2tIjgJyIiL4rCbAaRPDQxAEoTZEaAiCIAjNixNHhB67Sf8UYFFm1a8Nbw3YzBrO76vhnpkVizNe3F9EhiAIQl2QIFNBEAShRXL90KqLIYxqA3xzfOi1W4ebcOkATXkxbCbg0v4aXjpMfjoFQRDqgng0BEEQhBbJsNYafjhJw3W/69hRDPRJBt460oRBaeVCgl6NN48w46VDdRVqxeeCILQspLxtwxGhIQiCILRYJnQxY0IdUoHsFhEYgiAI9UX8v4IgCIIgCIIgNDri0RAEQRAEQRCEapDQqYYjHg1BEARBEARBEBodERqCIAiCIAiCIDQ6EjolCIIgCIIgCNUixSAaing0BEEQBEEQBEFodERoCIIgCEIYuXl+5OT6ZUwEQRB2EwmdEgRBEAQAXq+Ol9/Mwr/zSgBdRwz8OKCHFeNPTkWXXtEyRoIgCPVEhIYgCIIgAJgyNR//zi1GvNsDp8+nxuS/xX7MXLYNF12QikOOSJBxEoQWiL6vG9CMEaEhCIIgCAD+/rsYMV4fbIEAViXEIc9mRVQggGS3F698ko+oKGDEGBEbgiAIdUVyNARBEAQBQI4rCIffr0RGjsOOoMmEYqsVW2JCYVMvvp0LnzcgYyUIglBHRGgIgiAILZrifD/ee2ELzNsLENCDKLRZK7yuaxqKzGYENBN++yF3n7VTEIR9tzJ4XR9CRSR0ShAEQWixeP1B3H3NGjhz3Ujjc02DSdcR1CoaDBvtVgwsCWDbLvFoCIIg1BURGoIgCEKL5dXvC5XIcFnMWNw6EZtiHHAW++EIm5l0acBOsxndTBriWtv3aXsFQRCaEyI0BEEQhBbJF5/uxPe/uDBcD+KPzulY3CZZhUmxtG1aRhHi3T44/AFE+/1Is1pQDCA2XiKOBUEQ6op8YwqCIAj7FdnL87Bu8mYUbaM0APQCMwKro5Gzrqhsnydf24kZn+7A2B2ZqrLUiSs247TF60MvMnzKYUY7jw+tAkG09gdwWE4+OrrcmDujYF91SxCEfYZWj4cQjng0BEEQhP2GH8/4C0uXl2BXnBMd8hdDT3bC6+mEXLsN782Yh9FntEe3Mzuj+OsNSDKbK7y3d2Y+OuQVIddhR99dRdBK8zSKbTasNZvRvagYm1aU7KOeCYIgtACPxvfff49hw4Zh3rx5e6ZFTeSczblvl112GY499thatwn7Hl73Cy64AGPHjlX3Ae8HbjP+3t/Yn/sm1I+Nn27A5DNnY+HFf6NwcU6Dh89b6EP+ukJsLwji/Zc34ClLOm4/5VB8O7w3fDFRCHqCakYt1ePFD/264q6FVjx90WKYTaYqfwATXB60ynNVmpf0m80Icq2NxDj8NatQLrcgCEIdEI9GA/nrr7+watUqXH755difYR/ZV4qUNm3aYH+HBnBhYSHOOuusPX6ugoIC3HrrrUhLS8MNN9wAh8OBAQMGYOfOnXv83M2ZTz75BLGxsSKcmwv+APSdeUDbpJCHIL8EL7y0HU8WJmBn/zZILHbjsVN/wgn3DELW8mJ4irz485DeWG2JwrDWJpw/1AK3H3BaAbOpovm/8OmlWPT6KviCwPTeHfDJmAEIDDJDCwbRKTe/kpAYvnUXXjxoAEZvz4DHbEHQYkaUv7yKVEDTsDk+BulZoZCrcHyahlyLBWuc0bj1g3xc818BRh6WgB59nXts6ARBaBpI2dr9XGhMmDABRxxxBKzWirXN9yU0vqdMmdJshMYrr7wCXdfr/b7Vq1fjrbfewtChQ1uM0NixY8deERrLly9Xoubee+/FoYceWrad4zxr1ixYLM3i41kvhgwZstt9+/TTT5Geni5Co6mRkQc88iWwfCswYQhwzjjoxz4GzF2rvAO62QI9Lh5ZLguCAw7BOfHxaJeTh0HrM9Am14WC87bCBh1zu7ZFu483oX+eB5tS4tDl7DHYlhCDKAQxtosZY7tbkFEQxLYZOzHuy3Wwayb8MKgrvhvZW+VWDF+zDRf9thCpBSVw2y3ITYuDzx663wImTXkmcu12pLg8WJcYj1i3B+kuN0qsZmxOiMeR6zKRZzKhxGpBeH2pHWYT1qUkqGNk2WyYOzMbc2cW4Nyr03HgOFktXBAEoSqatCVTXFwMp9MJs9msHkLDaUoiTQiRlZWl/o2Li6swJCaTCXZ77SU0KRxdLheio0OrFjcH6to3oXkwc6uOJVk6xuRsQr/xtwBBHWo6448lwC3vVwg/0gJ+Jaw/HXoUbj3uOATMZlwwYy4Om78NAVhgUu/UcNC67ci1WPHLgF548bDhyIoL3d8umDB1vY6p2wN0bQDx6Zh0/tFAQAfMmvq3VUEBrvp5LgIWDQUxVjjcAaRtz8W2jslKhFj8ATw1ZQYsQR1rE+PxRZtWSPT60K24CNtT4rApNQ6jN2ah/65cbDeb4bJZkWO3Y73DhhyHFf1KPBi+K1e1dVeUAwkeLz7/JKtaoZHr0jF5hR9RFg3H9TYjyiqJooIgtCwaLDRo5Hz44Yf46quvsGvXLjXDeNFFF2HixIkV9vv222/x5ZdfYuPGjWoWs1+/frj00ksxaNCgCvsxbpvvpffijTfeUDPpvXv3xptvvqlmmR988EG8/vrraj9j/+rgcR544IEGt+Gkk07Cyy+/rGacaRQdfPDBuPnmm8sMOuY7zJ8/v1I77r//fjXLyvN89tlnah+GwQQCAXTu3BmnnHIKTjjhBDRm6M2LL76IP//8Ex6PB3369MGNN95Y5b5sM2fqw2Pj161bp8Z38eLFyMvLUwZvp06dcO6552L06NHqOtCbQa644opK40sh+P777+Pff//F1q1bUVJSglatWuGwww5T48tQoPDYfB6DY8R756OPPsKWLVuQnJyMU089Feeff36lNq9cuRLvvvsuFixYoAyUpKQkDBw4EFdddRXatWtXth/P/8EHH2DZsmXwer3o0KGDGms+6gOvHcco8rqG33e8pm+//bY6l9/vV+PF9tf3uoafK3xsOU7hY2Xk1YRvo7jg/cwxZ36H4VX75Zdf8Pnnn2PNmjXqnuvWrZu6locffni92ma0j5/pm266Cc8//7zqL8XqmDFjcP3116trEQ7vH94v06dPR3Z2trquzDth2xISyo2w2vpW271hXAeOXfg1+u6775QnaNGiRfjf//6nQv54z8THx6N79+7qfuzfv3+9x0GoghVbgbs/Rsb0tVjTuT/+7dIPB8z6DXrQAg1+tTZuACaEMhoqEuv34rp/v8PIrUuR5e6O9GwffLDBp4SEBT5YkIBieKJtGLl1E3yzgGcPH4liq638IDws552COuMZAIsGlIZUnfrPSgSsoYCpoFlDSbSG2CIfPN4gtqfFK+Fg9weQVOLGh726YHh2LiZsywgdd0sGFqQn4fveHTFiSwb60ANcHDrFH62SkQ8dvUrcZc3QTSbkOhwI5rvQ/o5cuG1mlEBDnA24/AArjutnxRkv5qNdtgv2YBCPRdtwyekJuHa0CG1BaG5I6NQ+EBoMxaFxS6PcZrMpwUHjkwagYcDTCKYB2LdvX2Uc0hD95ptvlPHxzDPPKGM2HBr2f/zxhzLaIgVLJA899FClbTNnzlTGVrgRVN82UODQWKcRdOSRR+K///7D5MmT1Uzs3XffrfahoKJBRAM4vB2MrzcMJxqkPDaNH7fbjd9++w2PPPIIcnNzceGFF2J3oZF7zTXXqDGjOKMRxbazjzSuaoOG4ZVXXqn+Pvnkk9G6dWu1bcWKFVi6dKlqO8N5OOvO8WKbKZaIYeRnZmaqseF+Rx11lPI6sd8cbxp6FGuRTJo0CTk5OTjuuONUnP1PP/2El156SQkUHsNgxowZuO222xAVFYXjjz8e7du3Vwbs7NmzsXbt2rI2fP3113j88cdV/3lduD+FxxNPPIFt27Ypo7iuUEyyzRwHGtgGRr9pRDOnggbwOeeco4Qn7zdeV57r6quvrte5GEIUObZ1CRvKz89XnxG2g+NGXn31Vbzzzjs46KCDlNHO+5UC9I477lDjeNppp6G+cAKB9wivL8UjhR8Net4jvMaGkCwqKlJjT3HA69qrVy91/fmdMHfuXCVG6ZmsjbrcG/y8Pfvss0q88JwGiYmJSuDzGnBczjjjDPU9wOMtXLhQfTZEaDQCLg9w6H3AzjzwzrswezoumPevEhdQciFEVSIjnKRtTljD9icO+OGBFQ740KbAq7Z1yl6M1BIXrjtrAuDXQ94Lwylg/F0qMiyBAAZsKRUNBpoGr9WE1IIC3HviOPjpCQHQf+sueC1mHL5jV4XdB+/IwYakWFjDwkx59HG7crAqObFSP3QN2BATja0mK+APbSvxAw/+5sWnczwYuLOwLE8krtCNtz/NQ+fkZEzs3aSDCQRBEBqNBn/bceaYxoYRkkNDhAbhF198oYQGf/Tp8eAMNGeEjf1oIHGW8sknn8TIkSMrhEStX79eCZgDDzyw1vPTuA6HBvdjjz2mjAljhrchbeBsMGfR6fUwjHDO3NPAogChcTlixAj8/PPPSmhEtoMcc8wxlWbTGfNPA/C9995Ts8y7G3/P9rDPnKkNzxOhwUpDjLPRNcGZXxphNNLHjx9f5T6cCaZ4ojHMaxLpRWrbti1++OGHCn2hQfvaa6+pWWUKFmMcDejhoQEaExOjnvOeoajkTLxhTFKY0YPFfT7++GOVLG3A/gaDISOGIujpp59W+TuPPvpo2T68ttzO9/L6hXs/aoKeKyYaU0BHXld6CJ566iklZGg4p6amlvWX489tFKf0ptT1XJxxr25sq8MYv3AxTQFAkUHBEi52aGxT0PAzxXuyLsZ+OPSYUHCF56t06dIFzz33nPLY0ZtC2PfNmzfj9ttvV2Nv0KNHDzVm/J4wRG1d+lbTvcHrwvuL/Y+8Rv/884+6d3gvRN53QiPx6yIlMsoxl9r95QnVdSEfyZUStXmcOJSUhlCVc8TStYj2+lBis4bcCwyTIqFIqzICJhOKbVbEesoFjJI/VhM2JieUiQyypF0aUncVwEavSARdsypXlLLoOryajmXxsfCZNHQsdqOVxwdLMIgtMVV8rkwaNuYHUdFnDnR0efDBfJ8IDUEQWgwNXrCPBkV43D+NQRpZnNUk06ZNU7P+5513XoX9aKAZYSOc9QyHhkldREZVBgoNIhof9FIYMeANaQOFSqSRMnz4cGVobt++vU7toTFqQKOVM+QMc6JAoWihAGqMZHQKpLPPPrvCdgqcuhiUhjH3999/qxnphsAxNUQGPSzsI/t6wAEHqG0UGpFw3I1zE86Kc8xpqBrQa8HjsG/hIsOAs/WEXiIKXhqk3D/8wRAfCpI5c+agMeAsPu8zzrYbIsMYA95fPBfvtz0NBUNk2BJn/lnNh69FjgPDl3jPLVmypN7n4n0ULhwIn3M7vSXh9yI9CieeeGKFfent5PbwfWuiLvdGTRjv5XXg566pQoEf3j5+/ig6DXhP03sXjhFmV91z3pvhxR722DmiI8N+qi8wodewvQSOSq8HoCFYxWJX9Dz4+ZlnxSp76b9GX8MOwhW9pwzpUfbcZ7OgMDkOuelJsDms6J1RsYRulN8LLRAhkHQd9kJXJX9ModWCX9qkYl1sNDY7ozAjLRFbouxILnYhUE1P2dRIWNXKaWtm11zOIWPVDO8roenQ4Gl1zmZHwpAdozSnYZR37dq10n7GNoabMK/AoK6zweHQiKKngXHrnLkNN8Ia0obq+kUYslIXGJ7F3Idff/0VGRkZVeZW7C5sd0pKSgXDjDCMjX0I/5BWBatI0TBlzgYNVY4BRR69G5y1rivMFWDIC71RhqfBoKo2VDe+4WNrGJYMwakJQ7AxXKw6+AXWGBj3UlVjE34v7Wmq+oxs2LBBfWnXlJMS+SVdF3itIosIGPdXeF85NsynivTS8TnbS49LXc9X271RE/Rs/fjjj8ojSc8URQrFPUMga/Pw7U0ihWJVn2GGf4UT2f7I5wx93CvnoPAf0gWYX7qCNgLwmeywBukVZuxQ7ZXtmPhNUZCPKMTqbpihq8yOfC0Kdj2gAqgsYab+RyMHwmstvbc0ILGwBFFFXuQ7HcqDoZwpNOo1DZtSEuAPmOD0eZGfEsdZCfU2pz+AcxauwkOHDYfHuE+j7YgqKII7NkaVueVniO3q5vEgI8qBqKAORzCIQosFU9u1QrD0WAYbnA4cFAxiYH6RCp/iexU0oIJB3H6oDQu+1GBmiFcp62IdeGikDTEx5uZzzeUcMlbN8L4S9gOhYcwqR9KQEqoG4cnDdYFehjvvvFMZuUxYrUpQ1JeaqlvVtW/M5WC+CGd4Wc6TxhLHizH5NIAiDfJ9BcOTGMZFrwbDwJiEyxAceodOP/30Wt/P/TnuNOYYpkPhQ8OUuRvM16mqn41ZPcy4HuwHz11X47U5U91nhB4N5iNV97lsjM/GnmZ37w3+GDFXhZ40hlExX8goaMA8mkMOOaTR2tpi4f31x4PAyz+pylKBHXnI9luQtnY73Hqi8kkYlr8DlQWiC9FYhqEw60GUmGxwazEqVIqeDKseVAmX2YhFEvKxqVUc3hg7At8O6V167pCY6Lo9B/M6t8GItVsxfukGTO/ZASZdxznTliKpOJSs7YqylokMA4c/gI65hVidkgD4g9iSGIN5HVth9Jqt8FktyEtJVMenXGjtcmNjlAPT27dBNDRkRlVO4PZrzEzRkejy4IRoN3JiHcjSTWgfp+HqkQ5M7GPFzsHpeO2LfKza4YezfRQ+Oz4Gg9pIBUVBEFoOeywjzTDwWNkoMkaewiB8n4bCOHwayUx4Za7F3myDWniqCjiLT5HB+PG77rqrwmuNFcZjtJtJz3Qxhqt/uhg52xxZMrU6WJmID4b/sO2s8MOEaOYesI/V9ZNw9pjJ7pEGLq/J7tCxY0f1L8PaKGKqgwnihInBDQm5q4rq+mvcJ8Z9syfu54bCceCYc5aorknldYH3kc/nq+DVMO4vVtsyYL83bdqkwufCvRp8Tu9UY49LTfckYeijEf5IDytD8JjXIUKjkYh3Anefoh40mdXc5Pqd0M/6APn/cqG7UN2pRJMXUUGXegunBDxwYCFGIYDQ/eQI+hDUaLCbYdMDKg+CsPaUEwVIKtKxOclemvAdEhldduYgz25TXoOdCTHouTNHPab271ImMojVFwh5FsLuFUqgTIsVcIfCpShvPj+wD7Kc0RiyPQtREfdVJ5cbU9SCfkEkePzIo/ckbJ/eeQXwWs24+/Eu6NKl6gmA1q2sePDaqidBBEEQWgINztGoDcaG0yBgMjYNDgMm8DJch26unj17Nvj49AwwbOfMM8+sNmRkT7bByMOIDOswDO5I7wfPyTK7jcW4ceOUR4cJz+EwmZbhZLXBdkd6HFjph0YhE2qNeEmjn1WFe3EGmuMb3leOMxPedweKC4oH9s1YayIc43wM8+IsNmet2eZIKMJoGNcHJvuzr5HXj2FcNOR534S3if3l/cVx4DXZFxhJ0Qwd5D3RGGFThPcRP2Ph8Dm3M5ndgP1mNbXI+5vPub2xDXzek1Xdj8xJiYQVq5gnUtfwK6GBdGkN5z+3IW3LTUj89gy02nQzonLfAo4bDiTFQOvdFpZXLkDUGX0QtGqwwYVkZCJRz0V8sBjxejESkY9EUz6S7HnIbZWM5QP64PE1m7G20w78cLIZc88xY93TafjjsXRMOsWCRy9JRnBAyIg/bNkGbGhVXm3P7A8iKkx4kGkd0lU5WoWuI67Ei067CjC7a1t836tySKTbbEI7bwBmHYjxBdCmyI14jw9Jbi9G7czG4JJiPPBqj2pFhiAI+w/0ttb1Iewlj4axHgMrzrBSEI1Co7Qs/3344YcbHCrB8qYM2WHMHoUCZ9bDofeC1ZL2ZBsY/80KWyyjylKwxvocNNRpKDPvgUnpLKvLJCWWYeVrjWXwMCmZ/WBYCGeY2V96AJggzf5XZXCGw2pRFGs0Ark/289QEyZic5yMEB22n+KJIVU07mjksR/sKyuN0ftx3XXXqePQAJ06depuV9TiublaNqsYMYTLKG9Lo5UhMayCREOXRiS9WQyLYZIyDW6KR+7He4RJyjSM67OiOfvF0rqslsQxZd9ZDIAxpCwTy/K29PowLI6ihHk4TLRmxaeG5Bg1BrxGXCeFeUEcG66bwYR1CiImsTNkj+NWX3hf8P6iR5A5GDwWq53xc8VQOQOOx++//67GjPcgP5P8l6WP6Z2it6wx4WePx6aXgh4cijxOKrDSGfvJzyPvUYpFXkvm8jR2G4SqMbeLV48yJt9Z9ie/FQapdKpx0Ivc8Fz2KfK/XoMoexairzwAlidOrnCsgWF/hwf+MTSpfVzp9/aUQ7BrbhbyVuZhffsUzH5yGbqs3Amv3QItGISjyAWfxYxChw2bYp2w+QMhL4rZjLYuN8Ztz0RaiQu/tUvDVmcU2hWHPDBkNdd/0TQ1G8dHqseHMTuzkObzg/U2bnm2G5KTpUytIAhCTezRb0kaoDQQaezRIGUIBo0iGoaDBw9u8HE5c8nZeM7Uhi/MZ8CSmMaaFnuqDUwwpTHFdRRoZLE9XHCMBg4FDOv/08ihQc/zM2GZBjjzCRoD9oMz2C+88IKqssP1R5jQzW0UYbVVYGAyONvPNtIgpeCiQX7DDTdUWHOBs/j33XefKmFKUcUZfI4vDXKKOBpzNPpY7YvCjyKFIiiyWlF94Sw5F8ZjYi+PT2FIY5/XjKFeBjwXDXzmi1DMMfyL3hAauCypGplAVhsMs6Fw4zVlkjuvK0sj89w0ZpkDQIOWXgyGFdHovueeexp1IcaGQKHB68+ys1xrg8UR2GbmZtxyyy0NOiYrfvGa836igOQ9xzKzvEfCK6sxdI9jYizYRzHCcWdpYZb+rW9Z3drgZ4mCnZ9pXm/egzwn7xneyxTbLAJAoc/PHq8PxarQdNBiHHB8ciEawxeQNjxFPVhvanjvoXj1+JlILQoJBlMwiM3xcWifX4xL5i7FjsRYrB3UHt9FJWNFQiw2Oh24cfEaHLp1F/5OTcQ6ZzTifD6sjo2FPaIQAgXt9tgYJGXswgOv9oXdWfF1QRAEoTKavjvZ24Ig7JcYK4PTSyIIzYkp811474WNsOe6sbFjCo47KArLp63D2uREnHxkB1w50o5PF3hx8WfFgMOGPrkFMPkD2BIdXXYMvwZ0Z55HZOlbXcfI4XY8d1HlxfsEQdh/2aXdW+d90/SH92hbmhvi9xUEQRD2GyYOicIR7/TC+lwdnRI0mHU/3i1chFFcyXzkhbBaNVx0gB3mbBce/S4Pm6KiYQkrQUuYl7HTpKGzl4V3gRKTBoumwR4M4vrx5YJEEARBqBkRGk0I5lUwv6A2WC43cn0DoXqYFF5Vsng4HE9jvZTdgSFefNQEw9SYoLy3YbgRw71qy4+JrGEuCM0Nm1lDr5RQUmZ1t/z5Ryfg7MPicMrLefhrU8XXKCgGFrtg0wGbHlSlbHfZbIjx+eB3N43y5IIgCM0BERpNCC7ux5yD2mDOwLBhw/ZKm/YHWAZ5ypQpNe7D9U4aI0yIuRtMoK4JhiSxetXehonsTPivCebfVJX3JAj7IxabCe9enoAud+eWLTZO2nt92BllVyt5a7qONI8PAU2HRQfiJQFcEAShzojQaEIwgZbJ3LXRowfTHoW6wopDRx99dI371HXdkdrgauuDBg2qcR8mKe8LbrzxxlpXpWe1KrIvhJAg7AsSnSZ8fWUsrviwCBmFXAFEh99iRrB0zQyu+J1htyLdzXVBdGzd7EFqkniUBaFlIWVrG4oIjSYEDdDGWnhOKKdLFy6oVblO/p6AJWEjF4dsKrBErSAIlTmkpw2rHknCbXdvwbRdQEnkZEDpiuHEVSz1UwRBEPb5gn2CIAiC0JywOK0YnJOvwqUiiQpw8b4g+vYtL+0sCIIg1IwIDUEQBEEAMKB/FEyahkHZuTAZYkPX0baoBHHBIM46JRHxCRIIIAgtDb0eD6Ei8o0pCIIgCMyxOiQG0/+MQ9q6HBy2LQO5Niuig0Ece3YaDhibiCRJBBcEQagXIjQEQRAEAUBsjBkvPNUOf/+bgC3LitCjix2DxybAahPnvyAIQkMQoSEIgiAIpVgtGsaNigX4EARBEHYLERqCIAiCIAiCUA26lLdtMOIPFgRBEARBEASh0RGhIQiCIAiCIAhCoyOhU4IgCIIgCIJQDRI61XDEoyEIgiAIgiAIQqMjQkMQBEEQBEEQhEZHQqcEQRAEAUChK4iHPy3Ev6u96NTKghuOc2JwV5uMjSC0eLQWPwINRTwagiAIQotH13Ucd28mfprvQU6RjvnrfLjkpTzsygu0+LERBEFoKCI0BEEQhBbPjU9mIstVcRi8fuC3hZ4WPzaCIAgNRYSGIAiC0KIpdAWwYZWryuCIndvc+6BFgiAI+wciNARBEIRmgdcbRNYunwpzakzemuGGGUC8zw/6L4o1DW5NA4OmFq/zNeq5BEFonuVt6/oQKiLJ4IIgCEKT5/evd2HmG+sR9ASgdUvCBXd2RqeujkY59qKtAWyKdiAQ1OExhebfKDJcZhM+1Zx41qUjKUoMCEEQhPoiHg1BEAShSbNhYT5W3/MPkFeELdE2mBZtwad3La+zZ8OXFQXPpjgU55V7J5bMzsNT167GracuxbRFbixOi0WuhX6NcsxBHWZ/EB8s8Dd6nwRBEFoC4tEQBEEQmiwBXxBz75mHn/p3xfeDeyChyIVotw/9d2TiiDkFGHpgvNpv+9+78OdHmxHwBDHqxHR0ndgeelDH5IfWoGBWF7XPq/8uRN+LuiJ/uweLZ+Yh32LG4rgYRCGIKF8Q0KrwWujAW3+6cMNB1r3ddUEQmgiNG6zZshChIQiCIDQZ9BIv/O/PQXBFBrJTU7Hj5cXY0K4TppzYDUNXbsclUxegU2YBVrVNwp8rNmN5DyeGXNAZZ33tw+L0voCuo+0vhZhUvBkJ7WIwaa2Gjb06IqXEgzhvAP9NdaFdQSEmt03DJmcULMEgjt6Vg8O35eCrdq1gC5abFH4NcJuA1dkBPPRFIe47LXafjo0gCEJzQ9MbO6tOEARBEOqI7gvA+9Nq6IUeWI/qjqwDnkbermKkejKR6CvEf617YfTld8JjDXkUbD4/nnjvT/Temo0dqTEoaRWFH4d1x49t2gDB8uOmeNzonWbG5h1e9NqaDU+MHU5dR7/MfJiCQWyMiYJFMyHJ51fpm8UWM97u0k4lhNsDQfhMGgqsFmiBgEoUt5pMiI3RcNowByb2NOPQLiZoVXlABEHY79imPVTnfdvq9+3RtjQ3RGgIgiAIe58f5iH44NfIXxxEwGOCA7mwoQDFWhTWmXpih7MVxhf8hZPPvhY/9u5b4a0HLd+Cez+fBa/VhBnDO8Lm96HAZsPv3TtiRavksv2OWboeQ3flwJUQhVivDwGzWYVHBaGhKMpRIVSKM27vd26LXFtpiJRZU6+bfX4E7KXbOC/nC6jHyK42TL8sChbuJwjCfo0IjSaSDP79999j2LBhmDdvXmMetsmdszn37bLLLsOxxx5b6zZBCIf3B+8TQdhtgkHg4+nQJz4J99xsBDxmRCMLMciADS4k6jkYGpiN0QX/YpO5MzbGp1V4O70RA7ftRGKwGNEmN3pkZKFDbiH6ZWTjmlkL0Dk7L7SjBszr2x4PHTcST48ZiK/6doHZH+DsGgJmU6V8DD47ensmYnx+ui8A7mPSykWG2kmD3aQBgSBmr3bjrblS+lYQWgJS3rbhSNWpPcBff/2FN954A/s7q1atUv3cvn07WgIUfp988sm+boYgNE82Z0I/4Hbo5lPgOf8VBGGGD6HytHaUioMwo39XXDQCMX4M2ZJR4bWHvvkTV0+bixjdg/SSIvQNe92s6xi1MfR95NB0ZMRGq791TcPi9GTMb5OivBKmKiKGuSXF68PYrNyqk8JL8ZpN6OwPIMFqwlU/+tH52RJc/5MPv6wLNvr6HoIgCM2dZp8MPmHCBBxxxBGwlsbvNhWhMWXKFFx++eVoDrzyyisN+oFcvXo13nrrLQwdOhRtGB/dAoTGjh07cNZZZ+3rpghCk0P3+OGfvw3mjonQ0pzAf5uAomLgxZ8QmLcR+o5cWHUuhwfYAz5l2JsQRED93wQdDpjhUUtekWJLFJYk9sG41ZsQ5ynEpEH9EF/ixvELVlU4b7zLjdgSNwqjQ6KFHou+27OwtW0iItf03pQYi945RUpW2N1eeBy2stfWxEQjz2rFuviQOKkOTQe2x0UhxuODxRTExl1BvLjdixf/1DCgkw3/XmqHgx4RQRAEofkKjeLiYjidTpjNZvUQGk5TEmlC9bjdblgsFvUQhCZBdiH0Z6bA+9Uy+DYUI+CnYNARbc6FJVBcukYucyKc0BEDH6ywoEhtL0Br5CMVCdiOIGwIIBo+RCMaGYDmwyZ7J/hhRUyhB+2K8pAfF4VYn6/KdXetgdIscB2YuGAdTpq7Gg+fPAbzu6RX2K9VYQm8TPDWdQyetQqFSTEojnUgKacIq/t3wdoebZHg82MnJ14ivRpM2WDkl1mDx2SGx2JGu4IS+H1B7LRagKCOxWvdiL7Pg3YpNqTHm5GWaEafFA1XDjKh0Au8tTiIXSVspo44m4Zz+pgwrn3F8+S5dby6UMfKHB0xFqDYrcNhZQUsDVYzcGE/Ew5Ml7wQQdi7yGeuoewRi4Wz4x9++CG++uor7Nq1C+np6bjoooswceLECvt9++23+PLLL7Fx40ZlPPXr1w+XXnopBg0aVGE/5inwvfReMFSHM+m9e/fGm2++qWaZH3zwQbz++utqP2P/6uBxHnjggQa34aSTTsLLL7+M5cuXw2634+CDD8bNN9+M6OjQLBjj2OfPn1+pHffff7+Kc+d5PvvsM7XPzp07EQgE0LlzZ5xyyik44YQT0FgUFBTgxRdfxJ9//gmPx4M+ffrgxhtvrHJftpkz9RxLg3Xr1qnxXbx4MfLy8hAXF4dOnTrh3HPPxejRo9V1oDeDXHHFFZXGl0Lw/fffx7///outW7eipKQErVq1wmGHHabG1+EoX9GXOSg8BseI985HH32ELVu2IDk5GaeeeirOP//8Sm1euXIl3n33XSxYsACFhYVISkrCwIEDcdVVV6Fdu3Zl+/H8H3zwAZYtWwav14sOHTqoseajPvDacYwir2v4fcdr+vbbb6tz+f1+NV5sf0OuK8eQXrFff/1VXcdZs2YhNzcXkydPVt4jhqu99tprqn/sf1pamvLsXXzxxRXGNjMzU43n3LlzVft5L7Rt2xbHHHOMupaRIp335PPPP4/Zs2er50OGDFH3dyT01rEN4ffMzz//jHvuuQfdu3fHp59+Wrad3wNPPPEE3nvvPfX5CgaD6tr9888/2Lx5M/Lz89W15n115ZVXIiEhQb0vJydHfeYPP/xwPPLII5Xa8OSTT6pjG2PC43D8p0+frvodFRWlvns4Luedd169r4FQC24v9IPugXe1Gzos6seEDxNKYAvkQ1eRuSa4kKJeDxGNVcnt0K5gO/J8bdAGy2Er8zsUwYM4FGhtMDutG4qssbD6AsiIi8Z9E4+A32zG2tbJWN06GT12Zpc1Q9do/OvwWy1IzS9Et/xMZCXG4sEfpuGBY0bjvy6h74N2+UXomVcMv8mENfFOfHjZEThi3Q50KHLBFePAIWu3wZYci10OG1YZdgUfJg3JxV4kFXtg0oFCuwU7nXYENQ1bY6NClaf4oNgp8UI3W7DFZcYWF4AdfkyxmfHGYh1uP+DhcuPlLcf/lgTwxbEmnNIz5AHxBXSM+zyAxZlhuwX0UJBzqZ3z9uIAfjzZhCM6iddEEIQWKjQYikODhka5zWZTxgANJxqAhgFP44kGYN++fZVxSEP0m2++UQbMM888o4yOcGjY//HHH8poixQskTz0UOUyZDNnzsQvv/yiDFKD+raBAofGOo3OI488Ev/9958yckwmE+6++261DwUVjWUawOHtGDBgQJlRTYOUx6ZxxFnq3377TRlSNCQvvPDCBo15ODRyr7nmGjVmNNT69++v2s4+xseHFreqCQoLGnzk5JNPRuvWrdW2FStWYOnSparthx56KLKystR4sc0US8Qw8mnocWy431FHHaUMWvab483cDoq1SCZNmqSMy+OOOw6xsbH46aef8NJLLymBwmMYzJgxA7fddpsyJI8//ni0b98e2dnZyjheu3ZtWRu+/vprPP7446r/vC7cn4Y5jd5t27bh+uuvr/OY0thmmzkON910U9l2o980bm+99VZlMJ9zzjlKePJ+43Xlua6++mo0BL6Px6SAcLlc6rgUDBRfRUVFSjBRPPFepPG+aNEivPrqq2VejzVr1iixSUHMceG9wXFiX9gu474lFCwUnRkZGeqz26VLF3XN+Hng5zmc4cOHK5FFEWmMN8UMPwu8BhwnQzBwO72PnBwgPp9PTUTw3hg3bpwSRrxXeb8sXLhQCSN62fhZHTt2rGo/28Z7woDtobA54IADysL27rjjDtVe3rMUO9xnw4YNamxEaOwBJs9DcHU2dFT8TgkiCjoKlNAIwhEmMkK0zXPj7sPOw32//BwmMkKw6pRFT4bb7FTPaVt7o3UlMgyuvmAC7vh+Jsau2AhTUEeiXoguhWbkJCeiXV4epg/qHaouBeCCBauxvlUy4vwBTFizTVWb+rRHe2RF2dXrn/TqiFPXbEFX3lN2K6L9AbQvdiM2KQaFzpBgjynxIrWo/P6P8/gR0DRkxPAYmsr/UDB5PJqhWGFhqKUCJN9Ttdedez49L1gmNH7eqFcUGUSJDK2C7nh2no4jOtV6hQRBEPZPocGZYxqURkgOZ7FpEH7xxRdKaHBWn4YGZ6BprBj7UURwBpgzlSNHjqww27p+/XolYA488MBaz0/jOhwaMY899pgyOI28iYa0gUYbjTnOyhIaNJy5/+6775QAoRE4YsQIZQBRaES2g3AmOXI2nTH/nNHnjC9nmXc3NIbtYZ/pOQjPE6FR/Oyzz6pZ3pqgsUqDn0b6+PHjq9yHhhzFE4UGr0mkF4mz5j/88EOFvpx22mlqFv5///ufEizGOIbPplOUxsTEqOe8ZygqP//88zKhQWFGDxb3+fjjj9VMvgH7y9lyQhH09NNPq9nsRx99tGwfXltu53t5/cK9HzVBQ52J4DReI68rvVJPPfWUEjL04qSmppb1l+PPbRSnFAT1pWvXrnj44YcrbGP7KUrpeTDEMPv1wgsvqHuanhDDi0KPBA348Hr/vN/uvfdetZ3tS0lJUdv5maWX4r777lNizzguRXe4h4IY15siwhhDimgKcApEbue9Q9FNQ5/tMD5LnHzgZyTc80J4P1GYMcfJuO8oeDjBwP3ZFgNuo/gw+knRxXPys0UR2pThZ4vCix5Ro+0cJ0NI8fuTfaPANKC4DP/cRj7nZ4eC3LjOe+McxTsy4agynCDkCgjACl2tQFERWyCAOZ06woRAle/0aGa4zaHvY4Y4jd64XlWaCppCxviOxDjcdsYReP+Z7+D0+BDwAWvSWiOuqBir27cpExnEY7Ph4PVb8c3gHphsbY/+m7PKRAYJmEz4o30rdMlfj6DVDJs/oEKr2nh9WFWaqB5DV0QEMV4/MrSK92+Z2LDSxRK2rZb0t3xP+fUo9CZWMZyVx7jAq++Tay7nkLFqLvfVnqg6JTSMPeJ7pUEQHvdPY5BGFsNhyLRp09RNxFnG8P1ooBkhKpz1DqdHjx51EhmR8IbmDDRnR2kwGTdyQ9pAoRJpHHNml4ZmXSsv0Rg1oNHKmV+GOVGgULRQAO0uNNRo1J199tkVttMI44e5NgxD/++//1Yf+IbAMTVEBmfR2Uf2lTPQhEIjEo67cW5CQ5RjzvAaA87G8zjsW7jIMOCMOqGXiF9OFCvcP/wxZswYJUjmzJmDxoCeHt5nNM4NkWGMAe8vnov3W0OgdyQcHovek549e1byuF1wwQWq/7z+4WNofJnTk8DwIo4BRTSPRUFqwPfxi5xiOJyqQtf4OaCwpnFP+Hmhh4RCg+LIGFvDuxEuRNkeQ2Tws8MfEO7Dz1LkvcHPPEUrRVE4fE7vHAUg4eeaAobvbepV0PhdZHwPEd7z4d4a9iP8B5VE/oBGPqfXMVxM7o1zOM86GCanylqosJ+mErqDypPhQ0wlS/uPbt0xr1N7rEhtg9BSeOX4EIVFSV2hayZVHSrRXYSYHB0XT10IU2kehsUfwKU/z0e03w/drGGrIxVmdxABiwUlYcndBlH+kKDZHufE9pjKid55dqvymLCVAZauBRDLErdGmygeIvCVfs9UiSXCIDFrNf7QMk/DuB4TOmtIKL9sIcJWKjc4u7dpn1xzOYeMVXO5r4T93KNBwyASGgU0xohhCNAgicTYRqOFeQUGDZkNpuFOTwNDTugNCQ+bakgbqusXoQFXFxiexdwHxt4zRCUSGuS7C9vNWepwo934sLIPNOxqglWkaGwy/p6z0xwDGnycZWY4TV1h7gvDoeiNMjwNBlW1obrxDR9bQ3T06tWrxnMbgo3hYtXBWZTGwLiXqhqb8HupIXTs2LHCc3oyeA9VdS6OFa97+Lko8ugp+/HHH5XQj6wuFn6/Gfd7ZN4Gjxn+pU8oIumdpLeCUFjwffRcUDAwp4QYQsQQEQa8/xkiRTHPNlbXJv4YUSwyHIz7UmAxXIvnPeOMM8omCfgvJxQ4mUDBx/GhuKEQMcSt0MikxUP77R7YrvsI/iVZCMIC3WFXuiOox8Bc6IEvwsTOcMbg/DNC4nlTWzOGZ8YiCnnww4x8JGEZBqLI64TZHlT6xBuwIhOJOOOv5ThkwUasaZuEzhl5SPB4K94zDicK46OQmlcAV5jBos4ZG42r/lqAtMISrEtKwJLUil6DjoUuJTAsfl2FTm21WZFW6IYj2Q+3zYK8GBviiz2wMWapVFZlOSsLGgW9GUwaYVUrkw5ntAndUky4e4QJmS7ghf+CyHKFPDfRVuD8vibccUC5wZXg0PD7aWbcOSOI5VmhZPCi0mTwoEmDzQxc0t+EqwbJ7KogCC1YaBizypHsTo3xyDCL2uBM6Z133qmMXIaYVCUo6ktN1a3q2jfGxDNf5MQTT1RGGY1DjhcNM4bmRBrk+wqGJzGMi14NhoHRKHznnXeUMXf66afX+n7uz3Gnp4YGIY1VGoPM3WC+TlX9bMzqYcb1YD+M0KC6CJumRn3v+0iee+45FXpGkcg8lcTERCUSmEzP/Jfd+UzSkOf9wcIBDJtirhO9HNzOggecWKDQYK4GQ+3Cw5742eT+t9xyi3KhUwTznrj22msrtYnCgcUH6MVgWBRDA7lPZJI9PXYUFvx8UYj8/vvvKlyTfWcYoLAHGNEDpjkPoRqzG7a3ZsN762Qg343Vyak45fwL4LJYccOMH3HOwunIsiUiyssfogA2xbXDdmdo1pJJ1yRg4ndCSIi2yi9Ban4JPA4LgpaKvzFRJV4UJkUjMyEODo8XbptV5U5M79oGhy/fhOhSD8WwkgxsSE3Cv62T4TNpKhF83I5smAMB9Z4cqwXzY53YzvCqIj9gCyoRsjHKjliTDrNKBrfCZ9agFXngNGnwWs3wUgFYzeierOGC3sBlg21Iia4sBi7uX3sQwZBWGqaeIpUUBUHYP9gndTINA48GSmSMPIVB+D4NhXHsNIKYIMowkb3ZhnCXYOQsPo0gxvjfddddFV5rrDAeo91MembYU7hXg6FEnLVmBam60K1bN/Vg+A/bzhAaJhEz94B9rK6fhDPoTNJlwn248OQ12R2MGX7OblPEVAcTxAmN3IaE3FVFdf017hPjvtkT97MBhQLD36o6Fz0BzE1hmGH4daCgjTS0jTDGyH5wO0V6uOjjMavyQBleCooJPuh5IBQafD+rSlGkcvzDx45topuc4iFcSFUXNkihyKRw5mlQiDAHhaFbVU0ecF8KED7YD+abTJ06VYWgUdgIexfrpSNhufAAoNCDvjtL8N2Er6FtLYTTX4xiJCPFm1u2b7G5clgT08krPgfsXh9cZluF3IXUXfnITYiGL8YGj82KXIcN74zoiwE7sspEhsFxS9diUE4BfGYzbEEdxSYNkzu0RlAzwwxNPZgbopK8vaHzB01APpO/uU3XkVzgRtcCl7qv42NNePmKRKQlmxFvF0+DIOyPyFKcDWef1Mej0cAvaCauhodN0KBhuA5j7Rgi0VDoGWDYzplnnlltGdM92QYjDyMynMowuCNnbHlOltltLFjJh0YWE57DYaI1w8lqg+2O9DgwdIaGKJOxjQpERj+rCveiocnxDe+rEcazO1BcUDywbxy3SIzzcRabs+Q0ZtnmSCjCKLzqA2fr2dfI68cwLsac8r4JbxP7y/uL48Br0hjwHmKOCYVWpGjj2PK6GXkLxv6R7WUoYVUrnLONrN7FJP5wmMxeFfx8ULQyPI79NoQHxS1f4zk4zpFhU8bnIPweYxtZJKA6KBw49izqwJLZkd4MXuPI68x70PCkNEZIotAwNIsZWmI0bL1T0GftJej81+lIu6gjArCrRfqMJMs27sq5NV7a9hV+4nU4ggF0d29AbKAYzkAJbEEPdF1Dj2UZ8BX68HPXdnh/eG8cuHIb7J7Kidw2nw/FJhPy7HZ80rkN3unZEX6rDT1K3OhRXIK4iFA+9StpsyjRYSv0IC2nBN3zXaq87eFHxOLHx1PQvY1FRIYgCEJT8WgY6zGwyg0rBdEoNErL8l9W2WloGA2TTxmyw8QhGjucPQ2H3gtWt9mTbWACM0M2WEaVCbvG+hw01GkoM++BM7qcYWUSLcuw8rW65nnUBkNN2A+uc0EPBvtLw5QJ0uw/RUhN0NCkkXjIIYeo/dl+lg1lIjbHyZiFZvtpNDKkioYchQf7wb6y0hi9H9ddd506DgUOZ5Z3t6IWz82KSbfffrsK4TLK2zJ3gTPorKhEQ5vhOPRmsYoRixPQi0TxyP14jzDxmWK0Piuas18srcsKUxxT9p1GNHN/GNLD8rb0+jAsjqKEeQhLlixR5X8bkmNUU8lbeqwYdkQhzf7z+vB89F6El3/mdeD9xVAl5ipQSFAQVVXmmJ4reg1YpYsJ7vQYMASJa6kYpWrDYf95Po4l72ejhDPhuBgCJbIiGdvE8ClWWmMuEAUZk+WrEoQG9Ery+vGzw7FlNbFwNm3apErz8l5juymM6SGhuOY9OXjw4HqOsrAn0MwmRI1qB4w6H1FXjoI+6V9gzkboc9agc9E2rHdmI9eSoMSH2RvE2taJSMnMgN1L45/eBhao1ZGm70QHVyZyzbH4z9kHmimIKG8QfdZnovfmcrH/4+AuyIl2IKmk/N7KSIhHcXQ0tjlsyHbY0LbYjWG55R67fsUuVb52ZUxp4Q6ukleaJE7N07bEi62xdpw0NgoPTrDDbLwmCIIgVGKfLTFMA5QGEo09GqSM36fhSsNwd4wCVq/hTCkNqvCF+QxohBkG0Z5qAyvv0LDnOgqME2d7uBgdDR4KGMbG02ClQc/zM2GZBjjzCRoD9oPJ7yx3SgOORh2TfLmNIsxYeK6mZHC2n23kTDUFFw3yG264QYVNGXAWn6EpNCgpqmgwcnxpkFPEcZaacfVM0KXwo0ihCAovU9oQOPPOhdlYapjHpzCksc9rxlAvA56LBj7zRWhsM/yHBjPDr7hOSGQVi9pgpSsKN15TzuLzurI0srHeAxOWOStPLwYrPFHMcgG7xlyIkdDgpveC56bhzX5RWFHQcL2NcDHHnBqGWlGE8F7gfhRCvB8iE+XpneC4sgSyIdApJOgVMtZViYQigkKDnyl6kCKFBiuDcRwiPx+8ZhSzvEcpCjh+XPuFIqQqKGooKtlnLuBnLJBpwH7xelMYsT0cf1YAY18p/nY310XYAwzrBm1Y6PPK7wrN7cOoF3/FH89tQ4E5DprNhK6ZeXj+uGG445t/YA5QfgQRb8uE3VuCVfa+2GYrrTwXY0Ww2ANHSQB+mwa/RYOpRwK+PnIAigIaRq3dhtYFxciPiYbXHgWv2YxlSaEKfB3CRIhBR7enXGiEOVQu7KXhkRNTEO80wWoWgSEILQUpb9twNH13skEFQRD2EhQuFOn0oIV7T4T9jNenIuet2bDYLXCcPQrzpxfjxWAsokt09M/egLMXTscy01DkW0PVo8yxVgz730FYeN5MBHND4ZCmVAfGzZmIndF2HPl/edgRFaWqNsW7vYgvcaN9gQ8x/gCWxDsR5wugWxGX8S4nw27FX4mluWxRFpWbMaY9MP0iEayC0BLZpD1W53076hVzcFs6IjQEQWjy0FvGBRYZnseKVkLL4qoLFuH2979QoVMFSIEfFuxKTEDPV8cg/Zj2sMRa4cvzIuP7LTDZTGh1bHuYo0OevQXbvLj+pc1wlTiBrrF46oRopBa48PSzGfAHNMyPd6J3oQvW0jk3Zg7NSI6DCxr6FxajyG7F4tT/Z+8+wJyqtjYAfydtem8MvVepUhSkiIgF7BUvKtiwYvfaFcv91YsFQUWwYkMBsSBgA+SCIB2kS69Dmd7Tzv+sHTIkmQzTmZnM994n18nJSc7OyTDZ6+y19o6A/dmQU06AQUSBi4FGHUydovKRugqpLyiN5N57LkBIpybFyqeqDRByPv3VNJSXpAvJ7VQkTU1mliIXSVWTOhdJ+5KfPVd5p/rjjLs7Yer6wbh03TaY4ERKRDiiZ1+KJgNP/lsxR1vQ+MbiM5GdkahhZMsFat27W28ZDbNZqrvD8MZ/m+CNF/cjIiUVvyfFIVgHTE4dmWYjzjuahtATCwTm5RtwwfmRDDKI6jGmTlUcA406Qhb3kxz00kgOu2/xLZ16GmSZLvVUpE5BFlmsLKndkAL90uovpFibXKTIXWqXpLZGJm2Q+g6qf+7ubcKHHw3Ci3/0QFyhFTdcFY++rcs3WYdvzXZsvBkvTWiJQ/sKMHBTIUb8ZUbHtByckZmDfaHBSC4oRJTNgb0RIfj8shP1GkREVC5MnaojZErZdevWlbpfhw4dyrxOBrnWuZBFBE9Fzqec18qSFa1LWyFcZm+SFbeJqGrIxAAycYSQCRP8jfhO/iodD2w0o9BoOFn8retolZOHu6+IxEMDvVcbJ6L6ZY9W9kVfm+tPVGtb6hqOaNQR0gGtqoXn6KSWLVuq2+kgUwX7Lg5JRDWve7sghK4qQGGoR7G3pmFneCjGnF3SuudERFQrF+wjIiKqLXp2C0GU0c8EjJqGg1mcmJGItHLcyBMDDSIiqtdk0b3P7o5S6VKeksKA1rHsOBARVRQDDSIiqvfOaW7Cmxeb1bIZolEEMPuGIBi48jcRUYWxRoOIiAjAA30tuLOXGYdzdDSL0hhkEJHCBMqKY6BBRER0QrBZQ4sYpksREVUFpk4REREREVGVY6BBRERERERVjqlTREREREQl0DltbYVxRIOIiIiIiKocAw0iIiIiIqpyDDSIiKjO+WarEwO+smP4LDvm73bWdHOIKMBTp8p6I2+s0SAiojrl1vl2fLTx5P25u52YcyVwcUteOyMiqk34V5mIiOqMg9lOryDDvZjWhNUc1SAiqm0YaBARUZ3x4d/+1+j9bR+w8VgVr9/7zyEgNbtqX5OI6hymTlUcAw0iIqozws3+gwmnDpzzlQO51ioINhZtBJJGA23vdf33oY8r/5pERPUQAw0iIqoztqSV/FimFQh/24HHFzsq9uKFNmDoOODcZ4Gjma5tDifw5o/AnFUVe00ionqMgQYREdUJMlrxiU99hj+vrtDx9dYK1Gzc/T7w63r/j32ysPyvR0RUzzHQICKiWs+p6xg43QF7GTOjHltczkBj4d/ARwtKfnzu6vK9HhEFDL0cN/LGQIOIiGq9t1frWH207Pun5JTjxZ/8HBj83Kn3ybcCh1LL8aJERMRAg4iIarWXljnw4KLyjVBYy7r7u/OA//u2bPt+v6JcbSAiqu8YaBARUa2l6zqeXVqxhIStqaVEGxv3AfdMLfsL3j0VeGtOhdpCRHWZVo4beWKgQbXO+++/j549e+LQoUNF23788Ue1bdWqss38cskll+COO+6oxlYS0emwM8NZ4bznMz524s+Tf0aKq8i0tQ9+BIx4vYItIiKqX0w13QAiosr4448/sGjRImzYsAFHjhxBeHg4WrZsiZEjR6Jv3748uXXcu2srXl4pk9yeOwMYZumKS4L9zCa1YEPFXnj6UqBhLPDcdUBkaIXbR0QU6BhoUK1z6623YtSoUbBYLDXdFKoD/vOf/yAsLAwDBw5Es2bNkJmZqUbAxo4di7vuukv9PlHtna72lRVObEsDrmsP5Nk0FDiAy1sBc3bpeHChrtbGqOyKvnOsZ2KOtQcWzgM+PysLxgvHAWt3V+6F3/gRmDgXWPZ/wJmtXSuIz14OmE3AlWcBESGVe30iqjXk7whVDAMNqnVMJpO61Ta5ubmqQ0snc+fz8/MRGlqzV3Rfeukl9OrVy2vbddddhxtuuAFTp07FNddcg8jIyBprX333xWYHbp2vo9CjXMKkAeEWIKPw5LYZ2+X/XaMX1ZP0qOGnDfnIvu4uRBfkV81L2hxAz8eANsnAP4dPbh81ETBq8o8ECLYAHZsASVFAp6bA8Sxg5xFgSBfggeFAOAMSIgpcta83RwHh8OHDqk7i9ttvx5gxY4q233vvvVi+fDkefPBB/Otf/yrafvPNN6uO/MyZM1WNhnQQf/jhBzRs2PCUx0lJScFbb72FZcuWqfs9evTAww8/XOL+f/31F6ZNm4ZNmzbBarWiadOmuPrqq9XNk7Q9OTkZDz30ECZNmoS///4bUVFRqk1S+yHv76OPPsKbb76pji2v1b17dzz66KPqqroneezzzz/H/PnzceDAATVSI/vKeWnfvn3Rfk6nE9OnT1fHkPoUTdMQFxeHbt264cknnywKvtavX48PP/wQ27ZtQ3Z2tmpXmzZt1Lnu3LlzmT8jOd+ffvqpOifSrry8PCQlJeG8885TrxUcHFy0r9TG3HnnnXjuuedUcDFjxgz1HBl5cn++v/zyC77++mv8888/cDgcaN26NW688UYMGTLE67iy37x587B9+3akpaWpQEXeo7y+vI/y8g0yhLS9f//++OKLL7B3795ynReqOov2OTFybvHUJ1kLwzPIOF2yg0PwS9tuuHaD6+9FlfEMMtwcJ953nhVYtdP1809rTj7+xybgte+ADW8CzROrtj1ERLUEAw2qFtJJb9SoEVauXFnUEbXZbFi3bh0MBoPquLoDjZycHGzduhVXXnlluY4hnWzp9EtevjxX8vLXrFmjjldYWLwX8+233+L//u//VKfzlltuQUhIiOpkv/LKKzh48CDuv/9+r/3ldSX1RjrKgwcPVh1xN+lsuzv299xzj3q+BAkS5Ehn22g0qv3sdjvuu+8+VT9w8cUX49prr1Xvd/bs2SqlRwKqjh07qn0lcJk8ebLqIF911VXqPEnAsXjxYhWsSKCxZ88edTwJQK6//nrExsaqzrqcV+m4l6dDfezYMXz//ffqvV144YWqzXL+JBCTIEYCLF9fffWVSk26/PLLVRskMBHvvvuuar/UREjAIG1fuHAhHn/8cTz22GPqfbt98803Kji64oorEB8frwIW9/mQgEyCv6pw9Khr0QU5R1Qz7ltQgdW5q1lCbhZqjex8YNw3wMf31nRLiIiqBQMNqjZypXnOnDkoKChQV5hlVEB+vuiii1TnWTrh0nmWzq1cAZdZpcpDOsTSEX/22Wdx6aWXqm2SJvP666+rDrGn48ePY/z48Rg6dChefvnlou2yv2yXK9/SuW/cuHHRYxI8PP3006pT7SsjI0NdrZeRGLeYmBi8/fbbWLFiBc4++2y1TYKO1atXY+LEiUXbhIygSHqPjMZMmTJFbZOOeYsWLdQoiScJVNxkNEjOobyHM844A5UhgeBPP/3klaYmAcF7772nRkw2btxY7BgygiSjTp6ddwkSJcgYPXq0CoLcJBCSwOudd97BsGHDitLO5FxIkOdJHpdUpy+//FIFJ5UlQdeCBQvUyJG8z9pEAkM5F0FBQeq+BJ6ShhYREaHuS1ApQbQEcm4ygibBe0n35XORoE9GwWrTMY7lyFV9V9BdGxgdDgzYuQm1yqZ9AfWZ8xg8V7Xh96qqsUaj4ji9LVUbCRwkmFi7dq26L6Mb0kEdMWKEStvZvHmz2i6jG/IHp7yBhsw0JH94pJPqybPz7/bbb7+pP1aXXXaZChI8bzKCIGlLEiB4kqvukkLlj1yxl460vxSeffv2FW2TFKHmzZujQ4cOXseU89KnTx+VBiWBg5DZkuQqvIxOlET2cc+05G/UpjzMZnNRkCHtycrKUm3r3bu32iaBhi85174jBPIe5fOTx3zP7YABA9RnLUGmmzvIkC8S+UKR/SRIk5Qzf8csr/T0dJXCJsGtBIq1jZw/9xeq+zN1f6EKSa3z/EIVvl+gvvcbNGhQ9KVdm45xQ6faE2QIh9GItY1aoFa5rHdAfeY8Bs9Vbfi9otqDIxpUbdwdbwkw5Gq+BBRnnnmmqkuQ4lzZ3qVLF7VdcvOlY18eMuIgaUfuNCU3Scfx/CMlJOVI3H333SW+nlxV8SRXwn1f2y0hIcHrD6Nwt19Si9x2796tAgLfOgVP0tGWP7wyGvDII4/gtttuU68v5+qcc85RNRMSFAgZkZk7dy4+/vhjdfVfUqXOOussXHDBBRX6Qyu1FrNmzcKuXbtUsOVJriD58pfWJO9RggbfOhdPqampXiMgkiImIz2SguapsqMPcu7lPMoIlowW+dbL0On10jlGLD/owLKU2nHmDU4nWqXWksaIC7oBj1xW060gIqo2DDSo2sgVCKmbkEBCrtrL1Wq50iyjAVK0LYGGpCtJ8bCkzVQn6QiLcePGqUDEH99OrmcxtC95D6Udy02KoqX4vSRyNV9I0PXdd9+p4nI5Z9IRlwJySWP64IMPVCAjV3akHkLOpaRRSdqZu3heZl8699xzUVZSDyGdcQlUZHRGzosENFK78fzzzxcLPE51TuTqlKSNlXReWrVqVTRkLnU1MkwuNRky2iOvKc+XlDffwKO8QYYEkhJUymv5KxKn0yvUrOHPkSYcz3NixjYnlh4EIoI0jD5DQ7NIYMp6HT/u0JHvAHKswN5s17xTFgNgrYbyjo5RDuSf1QHRi9ZU3WSV3ZoDT18NZBcAC/4GLEbg8j5A95aA2QgcywZCLEBePhArs5/pwL7jQNuGQKz3BREiqp0qvpoPMdCgaiXpUJLTLzUZUgzuTsuRTuCECRPw559/qo55RTqFEhjs379f1Xd4jjzI1Wzfq/FNmjRR/42OjlYpS6eLHFdSeeT9nSo4cZMZmGQEQ27uEYdXX31VFW3fdNNNRftJ7YS7fkI671JYL7UV5Qk0ZGREZvXyDRDkMynve5TnyKiM1JicitShSFH9G2+8USxVTgKFiq6d4g4yZHTlv//9r1c9DNW8+FAD7uouN+/tz/R13dzybDqO5ALNo4Bf9zjxzFIdK1Mq+yWvo5nhGMaELMQjt1wL821PAB8tAD7+HVim5tStmLPbAu+OAbp5/M6PGlx8v8To4tsaeqeBEBEFKtZoULWSDrZcGZcr7tIRdRdby3apmfjkk09UkCBFu+UlC7RJSo4UNHuSKVt9nX/++aoTK1f/3TURnqRWQNpT1aRuQdooxealpRRJCpUv9/S3Uj9R0j5SVCejIp4pW2Uh511GEjxHYKRWQz6T8pDZtIQUfUvQd6r36A5ofEd9ZNYpz/3KQ86NpEtJ+tdrr72Gfv36Veh1qHaMgLSI1tTv5dAWRvw10oRnKhkzLrsOeDJ8DuKMua4NclHi9vOBP1+p+IsGmVzP9wwyiIioGI5oULWSOgPpXMqVZs/CakmpktQq6RxKnUFFFsKTK/ySWiQzMG3ZskWl50i6kUwlKyMXvp1xmc1I0otkpinpHEtNg4w27NixQxWWy+hBaet2lJcUvssUujJ6I6liEmDJe5VRCLnvDn6E1DjIuejUqZOq0ZCRGemASzqT1GYISaOSlCmp3ZARHemw/+9//1PpQp4jHmUhoyYyha2soC0jIVK0/fPPP5d7sURpr6RDyexZkgIn9Sju9svnsnTpUtVmIUGAzDolM4XJDFdSSyMF8TIiIkGov0ClNBJkSN2H1KlI0CEjNZ4kJc1zNjGqW+7tbsALyyqWRzXjEg1nNtCxoaQdJKUpvwIXGDZOqFB7iIjqGwYaVK2k6Ltt27aqI+ibKiOdbgkUyjvblOdrS+2CpOG4O5dS+yEdd1n/wpdMgSvFzFKbIGtqSHqVBCRSMCz7+85qURWk0y51EJI+Jm10BxXSEZcO+vDhw4v2HTlypOqUy5S4MsIiM3FIepRMGyvn0D2KIx14mUVLitelIF1Sl2R2JZlRqzxkel4JVCQtS2oa5P3LyI+cJwnGykMCDSnMl7VEZGphqbWQ9kvwJwXubtLhl1QtGf2QgnYJQrt27arOi4xGyBSF5SXBjJAgSW6+ZJFBBhp1V0KoAde1c+LrbeV/7tXtjLDZThGkSG3FU1+W/QWTo4H1bwIJ5Zu4gojqNk5vW3Ga7pvDQEREVIs4nDou+daBea7J48pMf8SkasMkqBUStLtncCvy+R/A/R8CaTlleMFvy9cAIgoIWzTv9a1OpYNe8uQv9RFrNIiIqFYzGjTMucpYPUv/jRwIHP0YePXGU+8XVvIsdERE5B9Tp4gCiFy9LUtRuBSPl7RGSG0gqWP+ivY9yZXp8q69QnWXQdMw+3INl35XtkH4BqHleHH5t/DYFcDvfwO/lLBg5g39y/GCRBRImDpVcQw0iAKIFFbfeeedpe73ww8/VHnhe1UaP3485syZc8p9pB5HCtCp/riktRGNQu04mFf6vtMuqsBKGRNuATqM9f/YZVyXhYiovBhoEAUQKRqXQuvSVEfhe1WSGbQuuuiiUicDoPrnoZ7Aw4tLfrxrPPDCOQac36ICmcHtGwO/jwPOfx5weoycJEUDwyo2aQURUX3GQIMogEjn+3QuSFhdZPpjuRH5SgyTkQr/6VPjB2l4uGclUwIHdwa2TgTu/whYuws4Sxbmu4MfBFE9xlmTKo6BBhER1RlnJMhIRfH1VpJCUPkgw61NQ2Du01XzWkRE9RhnnSIiojqjW6KGPsnFt48/l19nRES1Df8yExFRnbLsBiNu66whJghoHA68MciAkR35dUZEVNswdYqIiOoUTdMw9QIjpl5Q0y0hovqA09tWHC8BERERERFRlWOgQUREREREVY6pU0REREREJWDqVMVxRIOIiIiIiKocAw0iIiIiIqpyDDSIiIiIiKjKsUaDiIgCTmGBE7u25SMiuqZbQkR1nV7TDajDGGgQEVFA+WdzHt577QAK853qflRSezTrtLWmm0VEVO8w0CAiooDywduHkG4zwG4xwujU4TySiMj41JpuFhFRvcNAg4iIAsaRI1bsyTPAYNBh0gGr0QC7wYyjh5NrumlEVEdxetuKY6BBREQBYesBG+5/LgWNbHaEOF1pUw4NyLFYkO8MqunmERHVO5x1ioiI6rycQh3DJmQiX9eLggxh1IFgmx0GOEp9DefRbOi20vcjIqKy4YgGERHVeddMy8Uu3YxO9uKBglHXYbYVnzdGd+pIX5gCx6YUBE35HdiUAj06BCGvXwLLLb1PU8uJqLZj6lTFMdAgIqI6bfaaAszfalc/pxsMOBwZjnyjAS3zCtCk0Apd12Er1LyeY8+2Yd2gOYhYsxYJyEMWwlGIWARnFEK/9RsY+jSFqVODGnpHRESBgalTRERUp9gcOvZm6nA4dRzNduLaLwsATUO4w4EVsVEoANDreDoaZuegwGaF7nDAmB+ErDRb0WsceHcLmqz5HbohCP8YW+CwFodCBOE44nAUCTjy5MIafY9ERIGAIxpERFRnfLvdidvn2pGWqyMkREO03YZguwP9jqepWaaa5eUjyid9SnPm43BwCJbOScWlt4aqbce+3wiruROOhkeiofUoOuZtQxBsKNCCsMPUAtYf96NRDb1HIqJAoekypkxERFTLpebrSBpfAIfUWwQZ1XK95jwrkjJycSA0RO1zxcEUtM/J83qe3aAh2JaLbvohDCzchU3Z0diTG43eu9ch3JGHRFsuDB5r/xZqZsxLOAdn3tgCLcb3O+3vk4hql7XapDLv212/t1rbUtcwdYqIqsUll1yCO+64g2eXqswn6+1wOHTAZADsOuDQYYNWFGS4C7+L05AaHovEbbuQse4oNjuTMWTfIjS170VDW4pXkCGCdBsaFRzG7vc3YU/8m0i5bAbsK/fykyQiKiemThERUa03ebUdj/zuULUYsDsBgybxg+vmYUl8LNrk7Ac013U0CSEKzSZEFmRjTePOiArLgiPIjI/PugkGpwM9Dq7H4O1rfF5GR8+slShANEw5Zug/7ELGDysQ28UJwy/PAEnRp/OtExHVWRzRICKiWu2jr/Zg7Ow8IM8BWJ2AUQPMBsBsBMIsQMTJxfhSgoPwS2woLPZ8WI1G5AZZXOGG3YkscyQ0sxkZoa5AwWkwYlWTHtie6F2NYUA+zLAjAsdVebgGB8KQD/uGI7C3fRg4lH7azwER1ez0tmW9kTcGGkREVDsdy4T1uxV4a2EBbLrRtU2+xyV1SkY23CTokBGOE1YnNsT0RsloeXw3mqXuR7bRAKNuRPeD23E0Iq7YYfZHJ+FASCQOhMTAqv7n+mrcj/bIQgyMcNd8mKBlZeNYo9eQ959F1fzmiYjqPqZOEVG5FRYW4pNPPsHPP/+MI0eOwGw2IykpCX379sX9999/yucuWrQI06ZNw/bt26FpGtq0aYObbroJgwYNKlbjkZycjIceeghvvfUWNm3apI7Tv39/dYzY2Fiv/a1WKz7//HPMnz8fBw4cgMViQffu3TFmzBi0b9+en3Jd8+TnwPgf8G3rM/H3FR7FlSplyueqoazm7fSuszgYHoW5bbuj0GhUsUnjjBzE5mUiJi8LKVEJXvvmmUKwPrYTWh08hkNoq7ZFIg0WGJGPGDTCNhV6aLDDCTMKEAr9qd+hJYYh5LZe1XgSiIjqNo5oEFG5vfrqq5g6dSo6d+6sAoG7774bvXv3xsqVK0/5vBkzZuCRRx5BVlYWbrvtNtx6663qZ9n27bffFtv/6NGjuOuuu9CoUSOMHTsW5557LubOnYs777wTBQWyWoKL3W7Hfffd59WmUaNGYdeuXeoYmzdv5qdcl/yxCfi/bzGnRWd80fXErE9BBjS1puOFP2YUCypgLb4aeKHBgEKTSQUluqYhNTQEe2Ib4bx/lkFzOov2Mzgc2BPRFBEpBmTh5GhHFmKRZQhBMApgRzic0FTNRjYSYYNZ7ZP/H661QVQ/aOW4kSeOaBBRucmohIxejBs3rszPkYDi7bffRuPGjdVoSHh4uNp+9dVX41//+pcatTj//PMRERFR9BwZmZCg4YYbbija1rJlS7z55puYPn26CibE119/jdWrV2PixIk4++yzi/aV177uuuvUa0+ZMoWfdF3xP1dguKRpO6SHhgMhRkQ7C7BsynNomJUOi8OJxy8Y4ar0dt98WHQnknPzEGa3w2aQ1CkndsU3wd7YhojIz4bDaYTdZIK50IbkfZkwO4oHKxnmULSw74LFYS+6MmeCDVbkqA6Flp5b/eeCiKgO44gGEZWbBAkyWrBjx44yP+evv/5Cfn4+rr/++qIgw/1asi0vL0/t4yksLAzXXHON1za5L9sXLjx5NXnevHlo3rw5OnTogIyMjKKbjHT06dMH69ev9xoBqUlpaWkq9cwtJycH2dnZXilgqampXs85fPjwKe+npKTAc0mkOn+MLs3U/c5H9iMxO1OtmXHNhuUqyBD/Xvojhvzz98kAQ4rCPS8k6jp6ZOUgwm5XX3JBTiciC12rgjsMRmSFRaH5llR0WbkH565Zj07HdvuNVqwWI/aFJRXbHgZ5nzqCz2lUPz4PHoPnqo79XlHtwQX7iKhCIxrPPfcccnNzVVpTz549Ve3EgAEDYDAYvGos3CMJMooxadIkvPvuuyrNypMEGPfcc49Kf7r55puLni+jG19++WWx48sIh6RV/fbbb+p+v379vL6o/JkzZw4aNGjAT7sukNSma8fDNnslHhp6AyYNHo57l87HxO8/Vg/nm8wIe+pj6CemsHU9R0dsdgHCbA40sNrQLStL1WeIILsDTY+necUi7bbuxdCDy9XsUg5oWBHWGeZ8DcYTaVk2owEHG0SgXfY+dMzyXkPDCQOcZhPC9z8PLSnydJwRIqpBa7R3y7xvD/3uam1LXcPUKSIqNync/uGHH7B06VKsWbMGK1aswPfff6+KryWQkKLt061169Z48MEHS3w8JibmtLaHKkGC1ZmPwbzyH0zcdxxb1+/HjC5n46WfpyOqIF+lMsXk5yItNMKrSLxPRhaa5+bDZtCQI7+DJ4rGbUYjMoODEe0xqtXUeVgFGSLFEo8sSzhg1mGxu1KoCsxGOA0amuYdKdY8UwMzLPtehWbmVyhRfcBpayuOfyWJqEKioqJw8cUXq5sMg0t9hMwm9ccff2DIkCHF9pfaDCEpV74jGrt3S+oK1OiIp4MHD8Jms3kFLjKMLtslVcqtSZMmSE9PR69evYpGVCgA9Gqjbj9cqmPAFzYMuuM5PPv7LLRIO4o+h3ZiXutuRbu2yMxBi9x89bOsn+E7M1VqRJhXoBFRcLK+osBwYh0OTYP1RPAgz5axjS2RTdE9fbtacdwKE4x3D0D4pCvVjGlERHRq/EYmonJxOBxe+bNCOl3t2rVTP2dmZvp9ntRKhISEqMJtSblyk59lW2hoKM466yyv58hjMlOVJ7kv2z2nwx02bJjK4f3iiy/8Hts3v5fqlhCzhpWjLGh8VlNceePD6P7QfzGva08g2IC4QhvaZuSiz3H/v3duBo+ZpsSB8Piin+NtxRfgs+g2xORlI7ogFbuCE7G6Y38Yt45DxDtXMcggIiojjmgQUblI0faFF16o6jEkuJCUpEOHDmHmzJmIjIxU2/2ReguZolamxpXZooYPH15UO7F//348+eSTXkXi7lEQmbJ2586dqtB7y5YtKmVLRjOkgNxtxIgRqs5jwoQJaopdGdmQgnEpOpT7sqbG+++/z0+6jhvT3YQ5220qxUkt2mfQEKo70DS3EAUeFRgyK5WkS3kKs9rUCIWm6zAXFGJPaBJiY7PQNv0Awp35aGA/iuOGONgNRkTY8tEoNxV2TUPwvy9Cg9s6IbylR5oWEdUrfia2ozJioEFE5RIcHKw69lKXITcJPOLj41WAMXr0aCQkeC+G5jtjlOz72WefqQBCtG3bFuPHjy+2YJ9ITEzEK6+8oqanlcUBJYVKgpwHHnhAjY4U/SEzmdQ+EuzIOhvuoELa0qlTp6Kghuq2i9oa0SvRhpVHnEChE3A4kWI0o5HFiJUhkbg+5TgkvLDI6IXVhgyLGXlGI3INGmKMBhTGhaBtshH5hzT02LgbhyKT8E9kExjzdMQfzUdTHIcFdhTCgsOIQ9d3eyD2zu41/baJiOoszjpFRLWS76xVRKLApmP633ZsP67j/NZGtNu4EV1XtkRqvhMhdgf6ZmQh3OHA1rBQHA22IMbhRIzVirOOpeLMrqEY9Vxr9Tq/nfMt2i/bAKPTiTUhbRCU7yx2DfPcwhthtHiPjBBR/bNKe6/M+/bU76rWttQ1HNEgIqI6I9isYVQPj1nNCmIx4fHJeHDoLThqMuG3eNfsYpIi1cTqWjujbWY2dM2Ic69LLHpa59f747drbYjKz4PdqsFSIM/xOFDLCAYZRESVxGJwIiKquzo2wYgzLRixeZkanRDy31i7HVaDhjy1YJ+O/CgNDVudTLdL6pOAwV8MQvjlbWGLCUJehAk2iwa7SUN+mBGt3+pVg2+KiGrb9LZlvZE3BhpERFSnaZ/eh4dvbYRohyvQcBgMSDWbkWI2I9apY19UJMIt3jOlieRzkjBoSj+cN+d82JuHIyvGgvSEIMSNaYtmw5vUwDshIgosTJ0iolrpxx9/rOkmUF1hMKDJdd3RfclBbLQG4ZjZBKMOlTqVbLPDoOuwOF0L8fkT2ykaV6y6BMfXpyEkMQQRTcNOa/OJiAIVAw0iIgoIz4+IxLgPM6D7Tm1rt0M3n7qo22A2ILHnybU1iIjcOL1txTF1ioiIAkK/vhF47+kEhNtcReAiyOFAfEEhwmNOvaAfERFVPY5oEBFRwGjVIhgj+gfht18y4dQ0BDmdMJpsSGq+v6abRkRU7zDQICKigHL1qCQ0ahaMTWtzEB1nxNHsX2A0lVyjQUR0Kk7OJlVhDDSIiCigGAwa+p0XrW42mw0ff1xY000iIqqXWKNBRERERERVjoEGERERERFVOaZOERERERGVgCt+VxxHNIiIiIiIqMox0CAiIiIioirH1CkiIiIiohJwZfCK44gGEREFJEeODakLUxD+mxHmvVpNN4eIqN7hiAYREQUUW2oB1l0wH2mbMpATHgSLIQzGxRo2Za9Ct7fPrunmERHVGww0iIgoYOQeLcCfrb6BpTAficbjiAgyY2Wzbsg3hiB7/nG02Z+DsCbhNd1MIqJ6galTREQUEKy5Vixp8Q2CcmzQbCZkFzRA0sEs3Lbyc4Q58nCkSRzWfLSzpptJRHVwetuy3sgbAw0iIgoIi69fjJA8m9e2Q2iGIJsN3Q/9rboA67dYa6x9RET1DQMNIiIKCKkbMopt02GAHSaE2vLV/ZyDeXBYnTXQOiKi+oeBBhERBQTN4Sg2EaUGJ0ywYUtiW9gNBoSm5+DAqtQaayMR1T1Mnao4BhpERFRnOa0OZHy3C2lfbofRJmMXDpUp7eoaSJDhwK8tBmB7QnOYC6ywBgVj8Y3LYM+313TTiYgCHmedIiKiOsl2NA/b2k1DcEYmDHCig6RGIRJ2kwG5wRa1j91ixM74JCQcS4fDYEBaRDg6bjqEGVf+iRHzBtT0WyAiCmgMNIiIqE46cMNcRGWk4HBwHFItkQjS85BoS8H+iHbQNdeAvVMDTFY7dIMGze5AWE6h2m7dmFbDrSeiuoIrg1ccU6eIiKjOcdodcC74B4eD45FrsqCB7QjsFgM2RXUoCjJyw4NwsHkCCsOCYQsyS8EGwgvzkJoYhvSwYKSlFNT02yAiCmgMNKje+PHHH9GzZ0+sWrWq1H0vueQS3HHHHV7b5L5s9/T888+r1ywvaYM8T9p0utTEMYmqqy5jY6vPYNNNiNTTMCBnBbrkb8N5qSvQoMA1UuEwaEhNjILT6Pqa0w0G2EKCkBMRgs2dmmJ322Q8/cBu7Nqexw+JiKiaMHWKiKqM3W7Ha6+9hs2bN+Pw4cPIy8tDQkICOnXqhJtvvhnt27fn2aZKcWYXYn//T2DZl4Yo5CO+8JDX480KDuJYUCyswWaVLuXJajZjX1KCCjrcXnruAIJbh6NxEwvOPTMEEU1DkRAKGHQdKdk6OiUZYPB5HSIiKhsGGkR+zJo1C5rGzkV52Ww2bNmyBV27dsXFF1+M0NBQHDlyBD/88ANGjRqFiRMnolevXvydowrRl2+Hc9D/oVlhvsqZzkckDD7Z000KU5CTFY7tWhNAjwY8/h1nhoV6BRnC7NSx9riOD8yheOpnAwz2AgRnF6BxnhVGGRmJMePTWyLQs5kJM/4swOxNNvRqZcI9A0MQanG9dnahDpMBCDHzbwZRIOKK3xXHQIPID4vFNWMNlU9ISAg+++yzYtuvuuoqDBs2TD3GQKP+0W0OOH7bDhgNMA5uDc0kXfjiHGsPwLkzFcZBraAV2uH8czec4RZY31gI5+9bEaJnqjUxhHTpQ5EFB+TfqrnoNWwwQSsIRtuCVCDIjN2NE11tUOlUxbOF94YHY3lsNJDvBAxONCooxBmZOSgwGXA4OBgJxwvx+KuFOGY2YKvFAqemYcYOK57+1Yr/uzwM7620Y0eeQTUoyqRjSAsNHeONiA3VcDzXiV92OpFmAxqGabi9swHN4gxIKwCGNNMQfiJQISIKVAw0qN7RdV11eGfOnImjR48iOTkZt9xyC4YPH160j9RiyPYpU6aU+/VTUlLw/vvvY+XKlUhNTUV4eDiaNGmCK6+80usYbnK1//PPP8f+/fsRFxeHa665RqUZeVq+fDm+//57lZJ0/PhxmM1mlY4k7T7zzDOLveaiRYtU2/fs2YOYmBh13O7du/ttr9VqVcefP38+Dhw4oIIs2XfMmDFVluokbQgKCkJ2dnaxGpc5c+bg119/xZtvvomlS5eisLAQnTt3xv333+91/EOHDuHSSy/F7bffjpYtW+Ljjz/G3r17VWqWnAd5TM79G2+8oepRJI1r4MCBePzxxxEWFlYl74PKR3c4kXfNNGD22hNdfQ1onYiQJWORuyEdhx9bgsLtGYgY3BgJG5Yif58DVoTDDKsaqTDBCjPSUYgY5CAJEThe7BgGFMKpyg2NsEPDXnMTWB0mmJ1OtN2XguTj6cgKC8HmRo1gTTLBrgG6pqnUKGnRbwmxgPPEqIgTOGIy48KcAph1HW20POyMCIfNYMDOmDA4g01Ajk29FavJgIfn2QCjBgTL1FYGZOo6Zm12YJbB4XpNGeaQG4Cd2cD/UlS4U9R2GWzplqAhrRBIzXedoVybK4iSl20dAzzWW8PcXcC83TpaRAH/19+A4a1YXklEdQMDDap33nnnHdWZlY6/dKol4JAOb+PGjdGtW7dKvbZ0bu+55x4cO3YMV199NZo2bYqcnBzs2LEDa9euLRZoSIpWWlqa6iRHRERg3rx5Kr0oKSkJF154YdF+UsCdmZmp0pHkMQmQJPC4++67MXnyZK8gYuHChXjsscfQsGFD3HbbbTAajer5S5Ys8dve++67Dxs2bFCvfe2116r2zp49G7feeiumTp2Kjh07lvs8OBwOFVTI60vqlAQyUq/Rr18/v/tLGyIjI1UQIcHZN998o4rvP/roI7Ru3dprX3kf3377rTq/8hw5Dy+88IIKvuSzlRETOS8SlEkQJ5/xM888U+73QJWX//ICYPYa1XF20aHvOIK8Z3/Bnmkp0Atcne6sOXuk2gIRKEAw8k/sr8GOIDgRixxEwwEj8hGtQgsD7DAjR62dkYsYFMo9iwWrY7ui0BgMTdeRkJ2DpOxsROYVqJtW4MDWNg3hOFEc7oSGncEWOHxSJK0GGcmwoGl+IUy6jgirDZsSo1AYFQxkFLiiAbPxZEqWE0CeA4jQXNtMGpBZCEQEAeZTBwTyUmuP+d9u14GtacCt810Bkdh4HLjyeye23aKhRTRHQ4hOF6ZOVRwDDap35Ar+tGnTVMdUnHfeebjssstU57aygcbu3bvVVXbpOPuOSvgjV+Al0JFRDyHtkGDk66+/9go0nn76aZWW5JuOJIGBXNl3BxrSwR8/frzqgH/66aeIjo4u2vf6668vdnw5zurVq1Vwc/bZZxdtl078ddddh7feeqtCozpyHjyPJ+9v9OjRqk7DHxk9kiJyd13M4MGDcdNNN2HChAmqbb6vPWPGDPUcMXToUJWW9eyzz6pRkJEjRxbtK8HOTz/9hIcffljVi9DpZZ+2qtiXjHzC2b/vh17g3Qm3IQga8jyCEhcnLLDBjHgcha7SpGRMwAQnzNBRiMNoqToBf8c0gtXoOpqMWByIi0ZcXh4MuhPbG8QjPSwUPdZvx5GEGOxu1lAFBUk2uwxxetVxyP0o2X7C4SATUsJPpFJK71929Ve/JY9JjYYUjktkYKie+fttTuCHnTruP5OBBhHVfhx/pXpHUpPcQYZITExUIw+SulRZ7oBBOu8yUlEaSdFyP0cEBwertKF9+/Z57ecZZMjIQEZGhhqpOOOMM7Bp06aix6QQW0YQZITEHWS42yXBhi8ZQWnevDk6dOigXtN9k5GIPn36YP369SgoKP9aA40aNVKjCxKoPPLII0UjO1Is7o8EFZ7F99IeOf6KFSvU+/U0aNCgoiDDnZbVrFkzGAwGFXh5ksBR3oukXdUW8nshI2pucl48U8okEJZRHU8yg9ep7kvAKimBte0YjpjgYu9fXsHUtUE5lsTSYVZjFt6/OzqMOI5mKnSxGYywmk6GNGlxkchKiILF4cDeuBgVZAhJl0o+mobE4+nqfpjDiea5+V6ve0ZWLqLsrpEWm6Zhc3gorLYTbZMRCvnR4zwUcf/6Fp5IjXKnY1WDxNDa+5nzGDxXteH3imoPjmhQvSOdYF9RUVHqj19lues9PvnkEzUi0bZtW5XKM2TIEFVTUda2SJqUJ6mdkI671Gr41jl4dtAPHjyo/isdb18tWrQotk1GB+QPvLSvJBJ4NGjgr2NYMgmMJFBwk8BHRhokpct3hKKktsk2eb/yBdKqVatTnjNJO4uPjy9WxC8jO8L3fNak2NhYr/uegaaQ9yC1Op48Ayt/930/n9pyDLx1BQr7vwWjfrIuAY1jEPvRZUjf9z3yVx0t2hyFVBVSOGCAUeUjuQQjHUZk+v26cqczmJ0OmB122IwmVfB9JDkOsVk56rGM0OLBTnRmDo5KbQaA3pm52Gs2QzcaoDmcCLbacMxsQq7RgNXREcg2m2CRYQTpGIWbgSyrK4iQIgo3+VluVoeryEI49OKjJX6dqF0pQWIIcNQjFuqSAFzRRkOwqXZ+5jwGz1Vt+L2qalwZvOIYaFC9I1e+/fG8wlIZUh8gHWupJVi3bp2qIZDic7lqP3bsWK99ZVSiNHJFX2oX8vPzMWLECFWzIMXNEmBIQCNF55Uhr/fggw+W+LiMGFSWpC2de+65Kp1Lgiaph6nqz6+k7VX52VL5WPo1g2HdY7A+8RP0QxkwXd8NQf92BbWtFl2F9M+2onB7OiKGNkVEggP5L8xH/l4rDK2TYDTqMB1NhXlfHoJ2paAQsdA8vrLkE5WUKvlvHoKQfCQHucEWHI0PV1PYpkZH4lhMJEJsNhRYTo5gikK579ThNBgQpOvonFeAv0OCVMrVqshwrIqOUDNkFb0P6LDKVFEhZsBiBArskqcIo8UIh6RMya3QpoIL+TXUTAY4nCdGN6QY3KBBFiuXWMSpa2pTuFlHhzgNz55twJqjGo7m6bA7dKw55irzaByhoXeyhps7aViZomPeLh0tozXc1EmCDKZNEVHdwECDqBpIR1pqFOQmIwZSsyF1IXJV3/fqTWkkfUiKy6UGQQIYT++9957XfffVfqkT8Td64Utmw0pPT1ejLqfqqFcF99C4jC74BhrSNkkZ890mgVh1X6mi6mXqkgzTT7cV224IMyPuTu/PPOT7e+BdiXQyULRPWQv7i/MRdPAIdDUnlYZoZGAfGiJPnqUDofl2NN+fjoK4IDjMJizu0QFtd+yHwelUQYWQQvEW+47gUFI8HMFBKDRoiLfbEewww2o2quDBqtKjXMcOMml4aKAFUzboSEm1qmAixKJhzqgQDG5tRq5Vxx97nGgUqaFrg4r9GxpafEDPi0yFO6T4ICURUa3HGg2iKiS5pVIT4EmmdZU6CJGVlVXu13SPevhelZe0oo0bN3ptk9oGmZVKZluSlCfPdskMV76kiFpyX7/44gu/x/bNiy2NBC1O58m0FzeZkve3335TIxueaVBuEoR5vr+tW7eqAEsCIBZxk4zeRY3pgbgDT8Lxf9cgH5IOpcMGJ/LUz540DFi3GVeuXIp/LV2AIw1iIbPNmuxOdTPbnDgcHYFt0ZHYGxyEwxYz8jQDehTacGmIDf93URCmjQjBlKuC8dHVwTjyTDjGDQ3G4UdCkPtCBLJfjEDeS5EqyBBhFg0XtzVWOMggIgpkHNEgqkKyfsPLL7+sZk2SOgnpJEuBtqRPSeG2O+AoDylolvxUKayWegUpXt++fTvmzp2r0p5k6lzPoETSoJ544gk169Xll1+utkng4a8ORVKx/vrrLzW7k6RgScde0rJkP7kvubGyJkhZSXH5V199pQq2ZXTFZDKpwnaZ+UmCLJk9Swrefcn7uvfeezFgwAAVlMgMYBKgySxSRJ6iHj8HOX2bIWPQB9ga3RzB6d6BvaeIgnycu3EtljVqA7PNAaNDx+GocMzseQZyg1z1PM2TDfj07ijoTiAp7tRfiaFq5W+mLRHVN5zetuIYaBBVoTZt2qhaBJl1ShbAk+lmpfBNpnb1nHa1PKTQedKkSXj77bfVdLTymrKQnQQHEsB4BhpCCrslDeqDDz5QU9NKqpZ7wT7pzHuSQEACGJliVwIXd1Ahi+BJ8bq/BQZPRY4hgZXUp0jAILNMSZDUu3dvlUbWtWtXv8+TAnFZaE/aK7NcuRfsk/NJ5Ct8QBOYdj2C9IE/o3F6qlpjw80IByKRW3Q/Li8bQYV2VdAdXOjAgRgDCiwmBNnsOMeQjUlPteUJJiKqJprOKkkiqiHulcFlJIiovD7t9ytardoLk9WhFuALghUNcBwWnBzlsMOI1dGt1YxUkpx3PC4YEVk2FARbcM2aixEe4z1TGRGRr4Xax2U+Kefqo3kCPXBEg4iI6qTB97bAd28ZEJWVp+ovuu7bAIOq5HaR4CPbGIrs0BAVWKTGhyM8KxuFwUE43jaBQQYRlQnnLaw4BhpEVCpJgyqNzH3ur/6CqLo0GdEaI45nYcdr+2DKLECS7RByzPEotIVCU8XiRizq1hU7Gjcseo5dpp91aDh33Bn8YIiIqhkDDSIqlSw+WJrnnntOrXROdDrF39dD3cRPTd/BptYdEVzgRHhePvY1SESeT/CbFheNNuclovdZrsUciYio+rBGg4hKJTNTlUamrZXVuYlqyiftZmN3y8ZFqQ4Fsjq558rcuo7Q3Hw8/9tZ/JCIqMwWlKNGYzBrNLxwRIOIStWnTx+eJar1Gja2YLesx6JpahLaIJsNNpMJTrmvA0aHHb06nJyhioioLDi9bcVxhSEiIgoIfSefg6YHjxbdN+g6ggqtCMsvQFh+PiLy8hFuK3ndDSIiqloMNIiIKCCEt4nCtR/1gsVmg+Zwwmizw+xwwGy3q1tobgHiWobXdDOJiOoNBhpERBQwInol4Yb/doTF5CrPMDidMDiciMjMQ8O0LLS6sVVNN5GI6mDqVFlv5I01GkREFFBadI/GI9/2xL6N2Uj/8zC2T18DZyMHzp9xKUKSQ2u6eURE9QYDDSIiCjiWYCNa94yGrWsY1gb/T20LaxpW080iIqpXGGgQEREREZXAyTNTYazRICIiIiKiKsdAg4iIiIiIqhwDDSIiIiIiqnKs0SAiIiIiKoFu4LS1FcVAg4iIAobdqeO9tQ48vhiwOoGrWwODdNeaGkREdHoxdYqIiAKCU9cRO9GBsQuBPAdg14Hp/2i4M3tUTTeNiKheYqBBREQB4bklDmTb/D1iwM/5HU5/g4goIOha2W/kjYEGEREFhNdXlvzYXFvX09kUIiJioEFERIEi/xSrahWezoYQEZHCYnAiIgp4Zug13QQiqqM461TFMXWKiIgCnpPX1YiITjsGGkREFPAcYJUmEdHpxkCDiIgCHhOniIhOPwYaRERUD1jw/Y6abgMR1UW6oew38sZTQkRE9cL9C2q6BURE9QsDDSIiqhdS82u6BURE9QsDDaJa4JJLLsEdd9zhtU3uy3Yiqhpm1oMTUQXoRq3MN/LGdTSIAsyiRYuwbds2jBkzBnVVWloaJk6ciC1btuDo0aMoKChAYmIievTogdGjR6NJkyZe+0tAdvjw4RJf7/LLL8fTTz99GlpOtZmVFeFERKcVAw2iWmDWrFnQNK3KAo05c+bU6UAjKysLe/fuxVlnnYUGDRogODgY+/btww8//IDff/8dH3/8MVq2bFm0/8MPP4y8vLxirzNjxgz8/fff6N+//2l+B1Qb2Wq6AURE9QwDDaJawGKx1HQTapXmzZvjo48+Krb9vPPOw80334xvvvkGjz/+eNH2QYMGFdtXRkFee+01xMfHo1+/ftXeZqo56QU6ek1zlLofBzTKYPtB4PxxwKE0ICYcGDMUWLMLiAwFzu8K/LoeyMwD/tUf+NfAkl9nxlLg358Bh9MBgwGICgUGdwb+byTQJN7/c6YvAT5bBESEAA8MB/Ycc903G4FgC3A8G7CYXO3JyAUSIoHHrwDuvgiQCzU/rQbu/8C13zkdgBmPACFBwN6jwKuzgc37XfuJPm2Bf1/heo8l+XMrMGEOkFMA3DQIuO6cU587OWevfAtsPgAM6gQ8fKnr+ET1GAMNogooLCzEJ598gp9//hlHjhyB2WxGUlIS+vbti/vvv79ov++++05dVd+zZw9MJhPOOOMM3H777ejWrVux1J/k5GRMmTKlUp+H1HWsWbNG/dyzZ8+i7c8995xKp5o+fTq+/fZbNG3a1Ot5x48fx7Bhw3DxxRerfd3PHz58OC666CK89957+OeffxAeHo7zzz8fd999N0JDQ71eIycnRwUHCxYsUOckLCwMvXv3Vvs2btwYVUHOkXvEozQy8iFtuvrqq9W5p8DV9RMH9ueUvh9rNMqg0wOA/UTQdiwLeGmmdyDgNm8NkJEH3HNR8ddYtBG49nXvbXmFwBeLXY9tfwcI9emAv/8zcOf7J+/PXAY4nKdu64FU4N4PgP2prkDgkpdPRpMSdPR+DFj2CtDvSeBgmk8bNwELNwJ/ver/tVfvBAY9C9jsrvtz1wDZ+cBt5/vf32oDBjwN7Exx3f99gysg+vbfp34PVCc4Day9qCh++xJVwKuvvqrSeKRz/q9//QsOhwP79+/HypUri/Z5++23MW3aNHTq1El1tiW1Z/bs2Sql6fXXX8c555RydawCbrnlFui6jrVr1+KFF14o2t6lSxd06NBBBRrS7nvvvdfreZJqJe9Bahk8bd26VXXYZbu811WrVqnX2LlzJ9555x0Y5ErliSBDjp2SkoJLL71UpTVJ8DJz5kyMGjUKn332WVGQUB52u129tvxXzq87ECvLCMX333+v0tEuu+yych+X6o7dGXqZggwRbKzu1tRxH/5+Msgoi3fn+w80XpxR8nOkw//jyuKjA+/M975fWpDhaeJcYMfh4kNWG/e7giPfIMNtxT/Aqh1Az9bFH5v668kgw/P9lhRozF97Mshw+26Fa5SjYWzZ3wtRgOGsU0QVrIOQ0Ytx48bhqquuwrXXXqvqBD7//HP1uIxgSOe6a9eu+OCDD1QwIiMZn376KUJCQlSgIh37qiY1DY0aNVI/y+iE+yYjCq1bt1YBhzuo8CTBR4sWLVR7Pe3YsQMvvviiem/XXHONavf111+vAqpff/21aL/Jkyfj4MGD6r0+8sgjuPLKK9Xoirxfm82G99/3uFJZDsuWLcOQIUNw4YUXqvO3a9cuPPDAAyroORUJSiTYkuJx38Lx2lDoLiNibhJIZWdnF923Wq1ITU31eo5vobvvfQnwJMCsj8fIzUpHWZkNtfd91IZjpKeV0CEvgdNm938Mj3b55RFEFL2P8gQWPnQJCJwlHNNZelv8nauCXD9zIXu0sdi5O+7n3Mn7cjpr9WceqMeg2oOBBlEFSAqRdHqlI+7PH3/8of6Q3nTTTSqtyi0hIaFohiRJZTrdrrjiCjXSsHTp0qJtkmolhdb+rvw3a9asWP2DjFC4gy0h73PevHno3r27mhkqIyOj6CZBlaSLLV++vELt7dy5sxo5eeONN9QoTFxcnPoCkhGO0kYzpF21cTQjNjYWQUFBXr9LERERXvU68j49+Y4G+d6XgnnPyQTq0zHOaBqLFpEoE+nb1Nb3URuOEfPI1YCx7N0Cw50X+D/Gk1eV/KTESODSXsXfxx0+IwXlSFXRbhwEvDgC8H1KpybA9ecAiVH+n9i1OdC7jd9zFXzPxcXPxR1DSz53NwwuXntycQ+gcXyt/swD9RhVjSuDVxxTp4gq4KGHHlK1DHJ1X0YQpJ5BZjYaMGCASic6dOiQ2q9Vq1bFnuveJiMAHTt2PK3nX+orJG1LOuLSViE/SzDkb5RARjl8SXG1fAlI+0V6ejoyMzNVMCGjD/64U6zKKzo6Gn369FE/S3uljXLO5QrYU0895fc5MlojozbSRikep8C35RYjOn/iwD8Zp94vndNOnZp0/lb/F7jgReBYpqsoe0R/VxG1FIMPPgNYsPFkMfiYC/y/zpCuwOf3A09+ARzJdAUAUpMhBdrjbwbCQ4o/5/7hQFgQ8NkfruM+dCmwK8V13yTF4GYgNdv1X0mJysoDwoJdAcq4613F4t89Djz4sWu/fu2BmY+6irH/9zLw0gxg035XACPt6d0WePaak8Xhvs5qB8x/BnjzRyC3ELhxIHCr/79vihz/jxddaWNyvgadATx1dSknnCjwMdAgqgC5yi/pRjIyICMCK1asUB12uar/7rvv1tpzKtPESnG3FITLULRcRZIaDOnEx8TEVOg13UPgUvgtM0JVJxkRkuPIuX/00Uf9ztYln4mM2kiql+dVMgpcQSYN228zQRt/6pEuDuGXQdcWQErxGd+KPHhp2T4UmZHqVLNS+SP1D541EDJLVUk1Ef5c2tt189W2ITDt5CQdZSYBk9zKqkUS8JF3/RtRfcdAg6iCoqKiimogpLMtC8xJ8bekTbnrJKRo2nfGJUm5Eu59qlpp63FI/YTMhCVX/WWIWqaBLSnFaPfu3cW2SSde0pfc7ZcARUYPcnNzi0YfqpPk8sqohRzPX6AhM30J38J2CnySpMhBCyKqajpnnaowXuAhKifp5HoWqrk79+3atVM/SxqRjBDINikI96wnkE76jz/+qPJJ3ftXNamLcLfDnzZt2qiZsGRUQEZhJF9Wisj9kUXz3LUYblLgLQYOHFiUFiXF2ps2bcJvv/3m93Uk1ak8fAv/PIM0KUSX4M3fCIy7/qR9+/bVdn6p7n6hVbzcmIiIKoIjGkTlJNPUSsdaggnpzEqHV2oyZCrXyMhItV1SfG688UY1wiGzJUlthHt6W/mvzORkNFbPXJtSQC0L2r3yyitqCl33+h2eIyhSFP7SSy+pn6V9JdVQyExVzzzzjBodkLU3ZHpbSbWS2ZyGDj1ZGHnPPfdg/fr1eOKJJ9Tj0gap+5Cid+n4y9S6zz//fJnfg6xR8tdff6lpbBs2bKhGjGR0aO7cuSpw+/e//c9NX9I0vVQ/cDSDiKh2YaBBVIE6hxEjRqi6DLlJ4CAF0hJgjB49WgUZYuzYsWpqVUlTmjRpkup4y0iCdPCllqO6XHDBBWpGq19++UV1+p1Opypc9ww0ZJ8333wT+fn5at2LksjIwIMPPqjqTqSuQxbhk6l8JbDwDE4kBUsW65PpfWXa28WLF6tASmahksUJy9vxlwBJFv2TERIZDZH3IK8lxeYjR470W2QvZJRG6jIkECTyleynBpmIqL47ePCg+t4+evSomrJfsgbkop1kRkiaeGUujGq652TGRFQvyLzk0hmXWa8kCPLHvTJ4eUYiiGqScbz9FOlROpZeC/RtenK6aSKisvgu9ssyn6jL026oMydV13W1Tpb0AyRbQFK+5WLh4MGDVZAhF0tl8V9Zv6qiWKNBVA/JuhdZWVkqhYooUJy6BsOOXtU71T4RUZ3y3//+FxMmTFAL7UqA4Tn2ICMZMnnMrFmzKnUMpk4R1QGSniW3U5GhzdKmqJWhUambmDJlClq2bFlsMb7qJMOwsuZGaeSPm+cih0RVIRqy0vPJRcCIiOq7qVOnqoWF//Of//idhKVLly7qwmRlMNAgqgNk9ir5g3AqMpOVzGhV2tWLY8eOqeLsp59+utoK0v2RmotT1YO4TZ48WaVtEVWlEFh5QomoQgJ1etv9+/ejb9++JT4udZmS/VAZDDSI6gBZEVuKqk+lLIvTlRaIeJIZpqpSXFwc3nnnnVL3a9u2bZUel0gUoPiaK0RE9VliYqIKNkqyevVqNeNkZTDQIKoDZAYI34X/6hoJhE7Hgn5E/jjBeU+IiDxJDYZkEYwaNUqlLXsu+iszV8pU84899hgqg8XgREQUEE71hRaDU9c4ERHVN+PGjVNp15IxIbUaEmS8+uqraor5iy66SNVoPPnkk5U6BgMNIiIKCH0blvzYJcHrT2dTiCiAOLWy3+qSqKgoLF++XI1ayFoask7YH3/8gYyMDLX+1v/+9z+EhoZW6hhcR4OIiALCoRwdjSY7im0PQgHejvxSLajJGc2IqLxmJXxV5n2vOjaCJ9gDRzSIiCggNAzXkHu/ETe2dxUgBhmAf/fU8VZE2RfbIiKiqsNicCIiChihZg3Thpswbbjrvs1mw8fba7pVRFSXBer0trfcckup+0jdxocffljhYzDQICIiIiKqZxYsWFA0y5Tn4rqysK/8NyEhQa2lURkMNIiIiIiI6pk9e/b43S4jwe+//z7eeust/Prrr5U6Bms0iIiIiIhKoGtlvwUCs9mMe++9F0OHDlX/rQwGGkRERERE5KVr165YvHgxKoOBBhER1QvOIznQrcWnvyUiouIkbaqy62iwRoOIiAKWdUsq+j+VgqTjmSjEONg0wPDkRQh96YKabhoRUY164YUX/G6XBftkJGPNmjV4/PHHK3UMLthHREQBKe+vQ9g6ZDoORYUgNSgSvfYeRpijANFIRejS+2Hu27ymm0hEdcA3yV+Xed9rD1+HusJg8J/YFBMTg1atWuG2227D7bffXmxmqvLgiAYREQWkRQ8sx/NXDMfK5o3V/aSsHHz6xfdofxww3fsNzGseq+kmEhHVGKfTWe3HYI0GEREFpD/0CBVkdDqSgrP278Wx8FC8el4/2GFB4e6smm4eEVHA44gGEREFnLyVKdgTF4Vdb4xDo9x0ta3AEISX+14kS1Kh0M7rbERUNs4AmbZ23759FXpe06ZNK3xMBhpERBRw9t7yM17a/Q8anwgyRIizEM8umYd0JEC3MdAgovqlefPmFaq3kFXCK4qBBhERBRSnQ0fOtjR0tqUWe8wEm8yDAnNhQY20jYiopnz00UeVKuyuCAYaREQUUDbOT4Fms8ABI4zwvhKnw/Ula4QdtpX7YO5V8ZQAIqofdENg5E6NGjXqtB+TY8dERBQwUv/JwqpHV2BB3y6Y06UfdI/H5OdcRKj/mmBF4dSVNdhSIqLAxxENIiIKCA6bE59dvwxb2jZDsMmCg4hDocmCoZv/QlhhPgr0cKQHRePnbt3R6egO9GkUVdNNJiKqcUuXLlWL82VmZhab8lZSrZ555pkKvzYDDSIiCggrJ21DSqgJcYV25JosatvqFh3Urfmxw7hy8f8wddAQZMZEwBqi4az3fgeeG1LTzSYiqhFpaWkYNmwYVqxYAV3XVVAh/xXunysbaDB1iuqNH3/8ET179sSqVatK3feSSy7BHXfc4bVN7st2T88//7x6zfKSNsjzpE2nS00ck+h0WjHrIHrsTEFEaiYaHDqKoILCoseSM44jCpl48ufPMfbXGWiaegQ4kln0pUpEVBJdK/utLnn00UexYcMGfPnll9i1a5f6e/jzzz9j+/btuPPOO9GtWzccOnSoUsdgoEFEVcput6uZLa6++mqcffbZOO+889Qfsz179vBMU7XJOlaA2N3HkRkagsS0TCQeTUObbXsQkpeP2JxMXLRpGUJQgFAUoE3qAVzy91I4ZQ6q37fyUyGiemnu3LkYM2YMrrvuOkRERKhtBoMBrVu3xjvvvKOmw33ggQcqdQymThH5MWvWrNM+BVwgkKshDz30EP78808MGjRI/fFKT0/HzJkzMXr0aHz44Ydo2bJlTTeTaunvjsMJmIwn/905dR1Wu45g88lrYjaHDrNRQ3aBE5+ssuHtP63IyHLgrI0HcLXRVHT1zOB0IqEgB43WrcVZh7cgCCdHN4R2YqrbI5dPQ+It3WE+fBTaue2h3XGuNEbyBgCjAbCfmLVq6wFg33GgcTxwKAM4qw0QEwak5wCvzHY9dtdQYEAn1/Ndb+b0nDwiogrIyMhAp06d1M/h4eHqvzk5OUWPDx06FE8++SQqg4EGkR8Wiyu/m8rnjz/+UEHGFVdcgaeeeqpo+8UXX6yCjvHjx+Pdd9/laa2HDmQ7MWqeE38eBGxOINwMXNoauKadhvFfZkA7mIcQqx1rGsXiSFToiWdJLoIuC2NAK7RDl05/kBkwa4BdB/LtgB2IsOoIMhiQHWxGiNOB6IJcnH34HwQ57epV0hALCwph9pnqVoKNmNwcaBN/BWCFc+YKGO6ZLCHOiQF/s1pFXCt6nvHEsyTdyvXarvsngqPpS08810OQSaIjwGwERgwA3r4FmLkM2HMMuLgH0DwR+GIxYLUD1/UDWiRV6+dAROWnB+iFx4YNGyIlJUX9HBQUhMTERKxfvx6XXXaZ2nbw4MFKX3RloEH18srpZ599pq6yHz16FMnJybjlllswfPjwon2kFkO2T5kypdyvL/9o33//faxcuRKpqanqKkGTJk1w5ZVXeh3D7YcffsDnn3+O/fv3Iy4uDtdccw1uvvlmr32WL1+O77//Hps3b8bx48dhNpvVVQhp95lnnlnsNRctWqTaLulKMTEx6rjdu3f3216r1aqOP3/+fBw4cEAFWbKvDKe2b9++XO/dXf9y6aWXem1v3Lixek15H3J+GjRooLZL+6ZPn65mu5DtsvpoixYtVNrV5Zdf7vUack6nTp2Kb775BrNnz8Yvv/yirrx06dIF//73v9UQ74IFC9SoibxubGysGkWR8041a3eGjvYfOWH16INnWIFpm4HPNjoRZAxDQesSZoBSIwuAHmoG7MYTAYYDKLC7IhaDpgKMWR2b4ft2jXHNuu14YeH8oiBDxCAX6YhFIo55vbRrmlsHnLDACjNMKISOUGjIgQYndFihqSDC4BFkuJ/pDjh8v4Td208otJ/87ycLgBlLgdwToysvfAOEBQO5BSfvLxgHnNWuwueaiKisBgwYgF9//bXowqBcEHzttddgNBrV7FNvvfUWLrjgAlQGAw2qdyTvsLCwUHVApVMtAYcUdUtnWAqfKlufcM899+DYsWOqs9y0aVPVGd6xYwfWrl1bLNCQFC2Z9UE65pIfOW/ePEycOBFJSUm48MILi/aTAm6Zdk5GBuQxCZAk8Lj77rsxefJkryBi4cKFeOyxx9SVittuu039wZDnL1myxG9777vvPlUMJq997bXXqvZKR/7WW29VHfuOHTuW+f1L0CKCg4OLPebetnHjxqJAQwITCTLOOecc1d6CggL89ttveOmll1TKlQQKvuSzCgkJUY/JsK8ESfIepHDt7bffVuc9MjJSnZ///Oc/KlWrsp8rVc5/V3oHGb4LYRVYyvhVJGlVEmjYna6bkLSqE1fc7EYjvuneDk8u+QU+mVIwQkMGYhCKHJUy5QoHDB5hggY7gmBRIxXSHju0okDCY9RCkRGOChaRu4OMovseK5TnW4GXZgJzTo4GEhFVF0l1lkBD+kQyoiHfr5s2bSqaZUoCEemTVAYDDap3pDM8bdo0NSogpFhZhgnlSnllO6S7d+/G3r17VcfXd1TCH7mKL4GOOzdS2iHByNdff+0VaDz99NOqc+3pqquuUoHBxx9/XBRoyIiApCdJR/vTTz9FdHR00b7XX399sePLcVavXq3+kEjhtpt01uXKhlzNKM+ojrv+QkZz2rRpU7RdAggJMNzv2U2m1ZNjebrhhhtU0PDJJ5/gxhtvhMnk/WdKRn3eeOONouFceY/ynuUqjLwfdxAjuaXy+lXxuVYlCSzDwsLUH3UhgZ2MsrkL8eT3Mzs7W71Pt8OHD6sRtpLuyzmVANR9TmrbMQ7lVsPMTkUxgPeIgsNgwJ9Nm+OqzRt9dtdQiDAUIgRhyIEZBSeCCk8yjmGADjPMxR7zPbhvQ6rIwbSA+Mx5DJ6rmvy9orLp3LmzurlJBoRc7JOLeHKR0v0ZVAZnnaJ6R1KT3EGGkJxEGXmQ1KXKcgcM0nmXP56lkRQt93PcV/3lH/2+ffu89vMMMvLy8or+CJxxxhnq6oPbli1bcOTIETVC4g4y3O2SYMOXjKBIylGHDh3Ua7pvMtLRp08flaspQUJZyaiIpCxJmpOMikh+p7RPRljkdYXn63m+L7miIvtkZWXhrLPOQm5urt+ZqiQA8swZdQcRcuXFHWS4/2A2a9asSj7XqiTnx/2F6v5sPP+Yyyib5xeq8P0C9b0v79vznNS2Y1zZpoq+amQ0Q5gMKmVK9fF9pqeVInC7FoK8E+toyKM55mD82qU75vXsgV0NkpGHcBwPiYWzWICgw4ZgmFDgpybD8ziez9P93Crhsl4B8ZnzGDxXNfl7VdWcWtlvdcnmzZv9bpf+Q1UEGYIjGlTvNGrUqNi2qKgoryvtFeWu95Cr8TIi0bZtW/Tq1QtDhgwpmtmhLG2RNClPUjshKV9S4yBXdjx5/sGWjr2QDrYvqX3wNwIjHXxpX0mk8+/ZgT8VGUmRYu9nn30WL7/8ctH2Hj16qBEeqZ/wDKwkaJIRExm6lQDJlwQdviTFzfeYQlKvfMkfyqr4XKlybupkwPY0J15ZATg8+uEmDQg2AXkFTjhlhicpSLTZUWj2+WqSYEKCDIdHoBFhBnJsrhQqua9pMDqcuHLTDhhgwty23RGbnwurZsDWVi2RJ7UQmobtTRpjyJq1aHd4H9KNUYhxZKgrbq7ybhnJyD4RYJjUKAhgUwXeroLwkgKmMgYXkaHAf24Axv/gmqXqgq5A+8bAR7+7isFHDwaeLH5BgIioOsjFSrlJxoNkSMi0tlWNgQbVOzJHtD9VtXCX1E3IiILURKxbt07VCkjx+U033YSxY8d67SujEqWRzvjtt9+O/Px8jBgxQv0hkGFmCTAkoJE0pcqQ13vwwQdLfFxGBsr7erL4j4wkSK1KQkKCKoafMGGCelxGUNykAE3Ok8xSJcGIBFny+SxdulS9hhSjlfXzq+7PlSrnpf4mvNTf9Xm4V5sV8t+Vhx2YtFZHk3Dg1s4mrDiiwW7XER0CrDgMNI7Q0D5Ww7ZUIM+qo1O8jg9XAXO3asgs0FUg0vFoGm5asRlRdqsKKHTNgCxTCIIK7Gi/dS8KgszY07Ih8sJCsLZ1K3TauxuRSMf+yHgkx+owpeUiKNoI46MjgIbR0DOygWXbgAPp0I5kQd92EMgvdI2kNEsCnrka2o5DwMSfgKx81/ar+wL3XwzMWA78cwTo2RK4bTCw5QDQrhHQNMF1Mu65GJDfbffv7BujT06pS0R0mrz33nsqvVguDkpdhmQIuIMOfxcsK4KBBlE1kKvu8o9VbjJiIDUbUhcycuRINUxcHitWrFAddvlD4Dubk/yR8DdCInUi/kYvfEkAIEXXMupSUke9ouS15eYm095KgNS1a1d1X0ZmJMiQdCvfebrlPVNgksDCd7rEXslGfOqR+dDCI7Yd1urkz/1P/jrhPJ/lWNbMzcOSv4CsyDCE5FthsttVkOE+UnChDc13HcbmM1rAZjQiLyofiZl2hF3dFZEfljCKcMvgk+0u6Q29dANgtbnWzHD/G+rbwXsfWXvDl++/NwYZRLVWoE5vO2bMGHWTjIIZM2aooOPxxx9Xt969e6s+jKSb+8sYKCvWaBBVISlik/oGT5J76r6K7y8VqDTuUQ/fK/OSRuUusHaTWgspspMpc901Ee52yQxXvqRYWqbg/eKLL/weWx6rCjKF7c6dO1Wht7suwx3Y+L4vmb73u+++q5LjUv3R4+IkmHUHNKMRBRGhcJrMxYKD4EIrLIVWdNu7A0dC4uGAGQ2neE+jXCEWc/HAgYiojpB+w7333ovFixerGtHXX39dXRB6+OGHKz2ywRENoiok07VKbcLgwYPVP87Q0FBVoC3pU5IH6Zk2VFYylCmFcDIDlMysIcXr27dvx9y5c1Wakkyd6xmUSBrUE088oWoiZC0K2SaBh786FEnF+uuvv1Rak6RgyciGjDrIfnJfivCksLs8JD1MRlZkBir5QyUBkazrIVPYypS5bnIcKfqWgnQJxqSGRd7ft99+q57vW6dCVJruVyTjz1/S4TCbEJpdfBIDqeG4ePlqdErfhZTwcGgGAwxlSF8kIqovkpOT1fexXLiUi5kyMUtlMNAgqkIypeu5556rZp2SBfBkulkppJY1HyRtqiKkoHnSpElqjQiZvlVeUxbSk+BAAhjPQENIYbeMFnzwwQeq0FpStdwL9skVC08ydawEMDLFrgQu7qBC6irkD42/BQZLIwvoyWJ6c+bMKSpClwX1ZN0S35qUF198UU2t+7///Q8//fSTSrWSGhdp17hx4ypwtqg+63xne2z8cj6sISGIO5oLBDmRHXpiTRddR3JGFmLz8tRIR1ReIUz39a/pJhNRHaAHZuZUEckskAuC0seQGSMls0DqMyV1SmZ6rAxNZ6UkEREFiP+9sAGHJ25ESIGO6MJcmDWHmsUqvMAKi8MBI+yIRQZyEYLmW2+BsV1STTeZiGq5T1vMLPO+N+/2XhuqNpOLfFKXIRcbZSFgmcVRMiEkuJCLlr7rWFUERzSIiChg9H+2C5bpOo7/929km4PRKC8TYVKsfYJcmMxENBzQGWQQUb02cOBANeW8rOklwYVMyy8p01WJgQYRlUqGUUsjf6xkwUGimtbnyc74afwG2DVZX0OHQXeqlS6MJ9b9dsAAq4XF20RUv82YMUNNClOd390MNIioVHKVozTPPfecuipCVNMMZgMcoUbsbxyHdmuO+jyqIw9mBJdvlmkiqsecATq97VVXVf8CoQw0iKhUsip5aVq18ljwgKiGhXePR/DhkylTJ2lIRCp2tjyjBlpFRFS/MNAgolL16dOHZ4nqlP5fDMDfl/wPOnRoHitqmFTiFJCX5ajR9hER1QdMUiUiooATFBeMNvsPID0mBBqcKmVKZpwKRgEMsMMZIduIiMo2vW1Zb+SNgQYREQWkFoOaoml6CsKRjQhkIwx5MMCBGBxDjzOjarp5REQBj4EGEREFpI6fnIv8y3oiz2hRYxoypW0YUrE7oRmSHu1b080jIgp4DDSIiCggaUYDms24CIveiMfOQWHQzkyE4+6haLvmHpiackSDiMpG17Qy3+qarKwsvPLKK7jgggvQvXt3rFixQm1PS0vDG2+8gR07dlTq9VkMTkREAc0ZrGHbiCj0HT0aZrO5pptDRFQrHDhwQC3at3//frRp0wZbt25FTk6Oeiw2Nhbvv/8+9u7diwkTJlT4GAw0iIiIiIjqmUcffRTZ2dlYt24dEhMT1c3T5Zdfjjlz5lTqGEydIiIiIiKqZ3755ReMHTsWHTt2hOYn7atly5ZqtKMyOKJBRERERFSCulh7URb5+flISEgo8XEZ7agsjmgQEREREdUzHTt2xOLFi0t8/LvvvlMF4pXBQIOIiAJSrtWJHGtNt4KIqHZ64IEHMH36dLz66qvIzMxU25xOp5pp6sYbb8SyZcvw4IMPVuoYTJ0iIqKAsiPdjjYfem65CRPCv6y5BhFRnRaoK36PHDlSzSr19NNP46mnnlLbLrzwQui6DoPBgP/85z+qILwyNF1ejYiIKEBo4+3Ft8GKwvvNnN6WiMptatvZZd739u1X1LkzvG/fPsyaNUuNZMiIRqtWrXDllVeqYvDK4ogGEREFjDyb/2tnOrh+BhGRW15eHvr374/bb78dd955Z6VTpErCGg0iIgoYJn6rERGVKjQ0FLt37/Y7rW1V4p9kIiIKHMwGJqKq/rNi0Mp8q0suvPBC/Pzzz9V6DAYaREQUMLKsLDskIiqLZ555Btu3b1czTC1ZsgQHDx5EWlpasVtlsEaDiIgCRrhFrp85/D6WawWiWapBRKR06tRJ/Xfz5s348suSZ+ZzOPz/TS0LBhpERBQwUvNK+kLUcPZXOrbcdpobRER1XqCuDP7ss89We40GAw0iIgoYFqOMaDj9PrY147Q3h4io1nr++eer/Ris0SAiooBh1/0HGUREdPpxRIOIiAJGXIixxBoNIqKKqGuzSZXVCy+8UOo+klolReMVxZXBqdZ5//33MXXqVPzwww9o2LCh2vbjjz9i3LhxmDx5Mnr27Fnqa1xyySVITk7GlClTTkOLiai2yLc5ETqhpFENHfojrAYnovKZ3OmHMu9756ZL68zpNRgMpwwwdF1X/2UxOBHVW3PmzMH8+fOxa9cuZGRkqEWImjRpgiuvvBIXX3wxjEa5wk31hdkYmFceiYiqmtPp9Ltt7969eOedd7B48WLMmzevUsdgjQbVOrfeeiuWLl2qRiSISrN161ZERETgmmuuwWOPPaZ+fyTYkBGwl19+mSewnmkyiWlTRESVGeVo0aIFxo8fjzZt2uC+++5DZbBGg2odk8mkbrVNbm4uwsLCaroZtYYMqebn56tOfU165JFHim0bMWIE7r//fpVyd/fddyM+Pr5G2kanX4q1hlYj/2Kx63YkA8i3AkEmILsAiA0HCqzAtoOAzXnyEp/kfEeEAJGhgNkERAQDrRoAMmtWeh7QrTnQKBZYtAmIjwCGdAUu6AZE8W8Q0WkXoNPblmbAgAH497//jcqofb05CgiHDx9WdRK33347xowZU7T93nvvxfLly/Hggw/iX//6V9H2m2++WXXkZ86c6bdGoyQpKSl46623sGzZMnW/R48eePjhh0vc/6+//sK0adOwadMmWK1WNG3aFFdffbW6+avxeOihhzBp0iT8/fffiIqKUm2644471Pv76KOP8Oabb6pjy2t1794djz76KJo1a+b1WvLY559/rtJ7Dhw4AIvFovaV89K+fXuv4crp06erYxw6dEjlRcbFxaFbt2548skni4Kv9evX48MPP8S2bduQnZ2t2iVXHeRcd+7cucyfkZzvTz/9VJ0TaVdeXh6SkpJw3nnnqdcKDg4u2nfVqlW488478dxzz6ngYsaMGeo5o0aNKvp8f/nlF3z99df4559/VD5n69at1WqjQ4YM8Tqu7CdDsbIaqaw4KoGKvEd5fXkfVUU+PwmGcnJyGGjUE++usZeyh4aLZtgx75oq/OrLyAXa3QsczfT/+K4jxbdJvOHUXQGF3NzW7jn58y/rvJ8z9Tcg2AzMeBQYXnqdGhFRZcl3/6nqOMqCgQZVC+nkNWrUCCtXrizqiNpsNqxbt0790sovrzvQkI6gpL9ITn15SCdbOv1HjgiinjUAAJiBSURBVBxRz23ZsiXWrFmjjldYWFhs/2+//Rb/93//pzrjt9xyC0JCQlQn+5VXXsHBgwfVFXBP8rp33XWX6igPHjxYdcTdpLPt7tjfc8896vkSJEiQI51td12A3W5Xw44bNmxQ9QLXXnuter+zZ89WKT4SUHXs2FHtK4GLFLv3798fV111lTpPEnBIjqQEKxJo7NmzRx1PApDrr78esbGxqrMu51U67uUJNI4dO4bvv/9evbcLL7xQtVnOnwRiEsRIgOXrq6++QmZmJi6//HLVBglMxLvvvqva37dvXxUwSNsXLlyIxx9/XKUzyft2++abb1RwdMUVV6gAQAIW9/mQgEyCv4qQ8yrnOysrSwV/ErDJa0m9BtUP9ywofZ/5e4FF+5wY1LSKMocf/bTkIKOqFdiAOycDe98HWHtERJUk3/f+SL2j9D2k33TbbZVb5ZSBBlWbXr16qULdgoICdXVcRgXk54suukj9AkunUDrP0rmVK+BlmU3K9x+IdMRlZctLL3XN8iB5+q+//rrqEHs6fvy4yjccOnSoV96+7C/bv/jiC9W5b9y4cdFjEjw8/fTTqlPt7x+hXK2XkRi3mJgYvP3221ixYgXOPvtstU2CjtWrV2PixIlF24SMoFx33XVqNMY9M5Z0zCUvUkZJPHnmR8pokJxDeQ9nnHEGKkMCwZ9++skrTU0Cgvfee0+NmGzcuLHYMWQESUadJMBxkyBRgozRo0erIMhNAiEJvKSgbNiwYUVpZ3IuJMjzJI/fcMMN+PLLL1VwUhESFG7ZskX9LKNBvXv3xhNPPFHrisElMJRzERQUVBQgyciL1JkICSoliJZAzk1G0Dxrlnzvy+ciQZ97hdf6fIyyWHVEx6AT8Wyl38fKHTitDqYBRzKRYrDWic+Dx+C5qonfq6oWqNPbjho1qsTH5EKgfB9LH6syGGhQtZHA4bvvvsPatWtVJ1tGN6SDKvnzkjqzefNmdOnSRY1uyB+c8gYaixYtUn94pJPqSTr/voHGb7/9pv5YXXbZZSpI8CQjCDIaIQGCZ6AhV90lhcofuWIvHWnfwErs27evKKiQ99m8eXN06NCh2HH79OmjOvruQCw8PFx12mV0QlKJ/JF9xB9//KHSjNx/mCvCbD45zacEfTJiI+lb0kEvKdCQc+0ZZLjfo3x+8pjve5T8TmmrBJlnnXWW2uYOMuSLRNK35NgSpEnKmRyzoiSPVF5PgsolS5aoLy/5cqptfM+f+zN1k9Q6346z7xeo7/0GDRrwGCdKH8qyXN/ZDQ1V93kM7gys90h5qm7NE4EG0Wjgk87A36sSPh/++6iXf0uobHbv3l1sm3yfy3eyO9CrLAYaVG3cHW8JMKTjLQHFmWeeqeoSIiMj1XZ3oCGdZunYl4eMOEjake8Va4nCff+BSMqRkMLgkkjH1PeKf0lXwxMSEop18t3tl9Qiz3/EksblW6fgSTrn8odXRgOksFmGKeX15Vydc845qmbCHRTIiMzcuXPx8ccfq6v/kiolHfgLLrigQn9opdZi1qxZampY32nu/HXS/aU1yXuUoMG3zsVTampq0c8STEmKmIz0SAqa7zmvKM+gSIIeSf2S9DYJIj0DSApcv1wNDJl5qj10jOqkoV+jKrw6+cL1wE+rgO2HUe2kcPzDe+RKR/Ufi4gCnqZpqr/hm2XgJt/RkmZd0ZRmwUCDqo1cgZC6CQkk5Kq9XK2WYmkZDZCibQk0JF1JioclbaY6SUdYyJSnJc1A5NvJ9SyG9nWq4ij3sdykKFqK30siVw6EBF0yAiT1BXLOpCMuBeQyuvDBBx+oQEau7Eg9hJxLSaOStDN38fxLL72Ec889F2Ul9RCSuiWBiozOyHmRgEb+qDz//PN+59cu6ZzIHytJGyvpvLRq1apoyFzqamSYXGoyZLRHXlOeLylvvoFHZQwfPhyffPKJmnlK0qoo8J3XXL7STl0Q/vFFVfy1Fx4CbHsHWLEdmL4E2HsEyCoEgk3A8SygdQMgMhyYswo4muHaPzoMyC8E4sKB6HDXrFPNEoEOjQCbw1Xz0bExEBcJrN4BNIoDurUAerQEgi1V234iqrdatGiBzz77rMQ+mNQ6ymNcsI9qLUmHkpx+qcmQYnBJy3GPdkyYMAF//vmn6pi7Rz/KQwKD/fv3q38AniMPkjrjezXeXRAcHR2tUpZOFzluenq6en9lmblBZmCSEQy5uUccXn31VVW0fdNNN3ldvXdfwZfOuxTWS21FeQINGRmRWb18AwT5TMr7HuU5Miojf7RORepQJEXrjTfeKJYqJyNBEkhVFQluhRSHU/0RbQIySpt8qjr0buu6leSdOyr2ule6Ug6JqOboATq9re5zYdSX9NsqO+sUx1+pWkkHW66MyxV36Yi6U1hku9RMyBVnCRJkutfyGjhwoErJkToHTzJlq6/zzz9fdWLl6r+7A+pJis+kPVVNUnikjVJsXlpKkW99g3BPf+vuLPvbR4rqZFTEM2WrLOS8y0iC5x8aqZeQz6Q8ZDYtIUXf/q56eL5H9x8s3z9uMuuU535lJe31d07chfiiskXzVLdsvS0wOwRERFVB+hNSSyo3Id+97vueN5ktU1KPK1v/wtQpqlZSZyCdS8nj9yyslpQqSa2S2gCpM6jIQnhyhV9Si2QGJpltSNJzJN1I/nHIyIVvZ1xmT5D0IplpSjrH8o9HRht27NihCstl9KC0dTvKSwrfZQpdGb2RVDEJsOS9yiiE3HcHP0JqHORcdOrUSeVMysiMdMAlnUlqM4SkUUnKlNRuyIiOdNj/97//qRoUzxGPspBRE6ljGDt2rBoJkULqn3/+udyLJUp7JR1KZs+SIVapR3G3Xz4XWeVd2iz69eunZp2SWSxkhiuppZF1QWRERILQ8g7PSqqVBHODBg1Sn78UFcofTSlAl8kGZARNpu6l+sOgnfoKHRFRffbmm2/ihRdeUD/LxcYHHnhA3fyRPob0myqDgQZVKyn6btu2rSoA9k2VkU63BArlnW3K87WldkHScCQNSEjth3Tc/eXkyxS4UtAktQkyN7SkV0lAIrMdyf7lnSKzLKTTLnUQkj4mbXQHFdIRlw661BG4jRw5UnXK5Uq8jLBIp1muxsu0sXIO3aM40oGXWbSkeF0K0iV1SabhlRm1ykOm55U/IpKWJfUR8v5l5EfOkwRj5SGBhhTmy9UPmfFLAgBpv3T+PVfulmBCUrVk9EMK2iUI7dq1qzovr732mpqisDykvkPaKrUqEszIeZP0MwlkZf0OWV+ltk1vS9Ur2CgjGgw2iKjq6FrgJAANHTpUzewl3//yPSkXRKXv5EkCELkoKheLK9pHK3otvbQELSIiojoix6oj4u2SRsZ06I+cnNaZiKgs3uk2r8wn6p51F9WZkzpu3Dg1KU91phhzRIOIiAJGgZ3XzoiIyuK5555DdWOgQRRAZIaIshSFS/F4bU4pkhQof0X7nqR2pbxrr1DgiwkuuRj8wa6ntSlEFCACdWVwN0nblhRk6T/4Tm0vaVTPPPMMKoqBBlEAkcLqO++8s9T9ZG7sqi58r0rjx4/HnDlzTrmP5JRKATqRp6M5JadN/WcAzxURkZvUesqEKitWrFA1G54zUbp/ZqBBREWkaFwKrUtTHYXvVUlm0LroootKnQyAyFdiuBRtFl9sUhgDp56TiKjSZBFlmanzyy+/VGuMyUQqMvukrIkls1PJAsLz5pW9PsUfFoMTEVFA0cb7W7FPh/V+V8odEVF5TOoxv8z73rum7kypnpycrGadktk7ZWp4mRHz119/LVo0WGZulNktZTbJiuL1HSIiChjp+eVbi4WIqCwrg5f1VpdkZGSoqfaFTHnrrpH0nApXRjgqg4EGEREFjJiQ2jvJARFRbSK1mrKAsJCRi8TERFXr6Xbw4EFVo1EZLAYnIqKA4n/JPhnpYBBCROQ2YMAAlSr11FNPqfvXXXedWjxXZqWU2adkweELLrgAlcFAg4iIAorjYSNC33SgQNWE6zDCjrcjvgBwc003jYjqorqVEVVmDz30kAo0CgsL1YjG888/j02bNhVNZyuByMSJE1EZDDSIiCigyFB//kOmorVlPv74s5puEhFRrdO5c2d181xj67ffflO1GzKqERERUeljMNAgIiIiIiIlOjoaVYXF4ERERERE9WzWKbFv3z610G+7du0QGxuLxYsXq+3Hjx/H2LFjsXbtWlQGRzSIiIiIiOqZzZs3o3///qrwWxbs27FjB+x21zpE8fHxWLJkCXJzc/Hhhx9W+BgMNIiIiIiI6pnHHntMpUktX75c1bbJ9Laehg0bhq+//rpSx2DqFBERERFRPbN48WLcddddakVwf+tlNG3aVK2lURkc0SAionpBd+rYtToD1lwHWvaKhoWL+xFRWf52GOpe7UVZSMpUaGhoiY8fO3ZMTXtbGRzRICKigObUgV1Z8Xh27E5cOiUX5810YNj9+7FnW05NN42IqMb06NEDP/30k9/HpFZj+vTpOOussyp1DAYaREQUUPS9qdCPZKmfN+0swBsbLsCirT0wIbIhNsVG4VBYKH6Li8fl72XDKVEIEVE99MQTT2D+/PkqfWrjxo1q25EjR9RaGkOHDsWWLVvw+OOPV+oYmq7r/CtLRER1nn48B4UXvgOs3gtdAw63a4/lGQ2gm4Avz+mG+U2TYdR12IwnrrHpOhoX5OPHOyPQrX1ITTefiGqpt876rcz7PrB8COqSzz77DPfffz8yMzMhIYHUash/IyMj8d5772HEiBGVen0GGkREFBAKhk0G5m5QPx8LicKOqEboemw3gh02zD7jbOxKaAKjU8em2GjMatUUhRJw2B3oUpCPdRMb+C2GJCIK5EBDyBS2v/zyi5reVuo2WrVqhQsuuIArgxMREbk5FmyH8cTP+8KS0Cdlu/r5n4TGOBDXGJYTaVJd0jKQazbh+3bNgAgL9mYA61floFuvCJ5MIgpoTz75JK6//np06dKlaFtYWBiuuOKKajkeazSIiCggHDWFwgEjNsY1QpP0dNgMRvzauhd+bt8HTkkH8Ni3W2oGOuXkqS/BvIggmJ2OGmw5EdHp8corrxTVY4jU1FQYjUYsWLCgWo7HQIOIiOq8Q6NnIjqnELddMxKLmnSBwWHAz+36YHOTlnCYTIAEGh7BhtNgQLv0XHQ+ng2HQYMlrnJTOBJR4FJ/O8p4q4v0aizXZqBBRER1mvX9PxH2yTIsbNsKibkZuGrdBmRr4diV2Mh7xxOdACeA/JBgxBQUollWPhJz8vHgtBzkFnJuFCKiqsRAg4iI6izbzHXAnVMRgf1Y2yQWQXY73h98Jo5GhMPg1FVQISSEkPSpgiAL0iIjYDWbUQhgc6gFhXYnMvbnYsrPuTX8boiIAgtXBiciojrL+ciXMMMOB4LxzMJZsDhtWJfcDA9ffRM2J7dASnQ4WhzPxMh1O2DSXVfXIgoLcdyg4avmDVXalPgzPhr5ywrw4KXhNf2WiKiWqaspUSXZs2cP1qxZo36WaW3FP//8g+jo6BIX9qsoTm9LRER1ls10C4wOJzRkw7PcOzU0HE2eeg/5liC0OeYKNDzJSMdPzRphVfTJmabCHA5k/TcGhhPBBxGReKNv2QulH/pzcK0+aQaDodhU3u71M3y5tzscFZ8sgyMaRBRQtm3bhkWLFuGSSy5Bw4YNa7o5VJ3mrYbBIcGFwyvIEHF5OThn91b82q4rwmw2r8dWxMdgfVwUHAYjTLoO+4kv2EKzEZc+cxQznktEiIXBBhEFno8//vi0Ho+BBhEFlO3bt2Pq1Kk488wzGWgEqj3HoD83E85pSwDIbFEGFWb4hgZ3LF2K1NAYbEtKhlVmlnLq+DMxFguTExFhsyM1yOza8cT6GmaDhu3ZBrw+Owu3XhSB5EiWMRJRYKVO3Xzzzaf1eAw0iIjotNOzC6DbndAigqCZjNALbK4Of34hkFcIffVe2Geug7FhOAwPDIUWFwbsTAHe+xmY9PuJUQz5/2DomhFm3SLzTxW9vh0hGLZlO877520MvO9BfNmlFYbuOAirwYj7N++CRdeRYTZhdrNkpARZEGS1w2HTsMNswnN/OfH8X5loGKTj8xtD0Lt1MIItGqw2HTKAYnfoCAvSilKsMgt1WfcPhgDqjBARVQXWaBDVc7m5ufj000/x119/4cCBA8jLy0NSUhLOO+883H777QgODlb7OZ1OTJ8+HT/88AMOHTqk8jbj4uLQrVs3tdKoSdYqAFTKUnJyMh566CG89dZb2LRpE8xmM/r374/7778fsbGxXse3Wq34/PPPMX/+fHV8i8WC7t27Y8yYMWjfvn2xfNHvvvtO3Xbt2qW2SXrUueeeizvvvBPvv/++Gs3wNXz4cDz//PPVeBaprPQD6bBe8wHylx+BE2Yg1Ayc2QzO5TsQZTsCE+wogAVb0B6ZiIMZVjTXdqCRvrNoxOLk6IUkTGnINkUgzJ4PA5xwwAIHguBEcNFeixq2w7jBw7CzcSzGbHD93rilWsz4qGVjhNjd81MBORrUCuPBTh2JTh0NbXbExhuxKwewOlyvmRhlwA0XhmPqHiNWHwEahQNvnmvANe04CkIUaF7vt7DM+z689NxqbUtdw0CDqJ6T2SekUz948GA0bdpUrRAqs1H8/vvv6NOnDyZNmqT2++CDDzB58mQVMPTt21cVlEnAsXjxYhWohIaGFgUa8hoyk4W8pgQLW7duVQFKixYtMG3atKLgxW6345577sGGDRtw8cUXo0OHDsjJycHs2bNx/PhxFTR07NixqK3PPPMM5s2bhzPOOAMDBw5ERESEar8ESTNmzFCzZnzzzTfq+aNHj1bHE40bN0aXLl1q5PySN9sFbyPvl31wSJChRh6McMCAROxTgYJYh27IQIzHs3T0xGJEIMvP6ZS0KSkGdylAAvQTr+12GPHYgRb4pX87BMvQg48PWjRGgVFCC5dYhwMHTa77jexONLDbYdFl5XGjVwrF7oaRKLScfJ7JAOy6zYgmkRzZIAokDDQqjqlTRPVco0aN8NNPPxWNSIhrr70W7733Hj788ENs3LhRdewXLlyoOu5vvvmm1/Pvu+++Yq8pIxMyonHDDTcUbWvZsqV6royKjBo1Sm37+uuvsXr1akycOBFnn3120b5XX301rrvuOjUiMmXKFLXt119/VUHGRRddhHHjxqlAx01GW0SbNm1UQCGBhgRJPXv2rNJzRZWjO5xw/rIFDpycQtEJAywoLAoyJOjwDjKEhjQklhBoyJjGSUbkwY4oj0eBI4hXP/fatB9/n9XK69m5RgOsHr9LIsLpRKhTQ57BAKcGWDUDjLrTK8iwGQ1eQYaQQZFf9+q4pTMDDaJAEkg1Gqcbx3iJ6jlJa3IHGTLCkJWVhYyMDPTu3Vttk0BDhIeH4+jRo1i3bl2prxkWFoZrrrnGa5vcl+0SsLhJ4NC8eXM1kiHHdN+kHRIorF+/HgUFBUX7igceeMAryBC+92uztLQ0FBbKUnEuMoKTnZ3tlUqWmprq9ZzDhw+f8n5KSopKK6vtx0g5egRoEg2taBk9V/KTA6aiOaMk4JDAw1cw8lCyk50AM3JhRgYKYEY6IrEJbZEN1xS2MWl5CMl1/T4JacWyuBi1kJ+bQdcR5XCqEQyjriP4xH/Vb5jH+zc6nWpBQF8tourO58Fj8FwF6u8V1R5MnSIilXY0a9YsVffgHh1wk7QqqdWQ9KZHHnlEfSkkJCSoWZ3OOeccVcshwYqbpE5JStOXX35Z7MzKCIcEK7/99pu6369fP68vGH/mzJmDBg0aqEBFvnykluNUfvzxRzXiIWleHNGofRzTV6Lghs9RqIecCDMAqykYEfZjCDsxYpGCJGxFh6IAIhJp6I4/VZJU8dmlJAQwwFYUrEhVRyiOoiF2obEaMXGzWYzY3LMx7CYjnJL6FxqCH1o1hYQe9hOv1NhmR5TTib8tZsTqQKjTiViH69/EcXmeR1AS0zYUy6wy65XL8JYafrii+Bz1RFS3jT9nUZn3fWTJoGptS13D1Cmiek4KsSVF6ayzzsL111+P+Ph4FTgcO3ZMFVC7Aw9JSZIi7GXLlmHVqlUq5Uk6/ZJeJfUbUVEn01XKo3Xr1njwwQdLfDwmxjeNhuoy4/W9ENq9Ccwf/QX7oVwYL+4I0+BWKPx+Gwo27YNlx240SDmO8NA0pBXGILhtNOL/PQSGT+OAZdug78+Avt91dVPCDgM0aDBCU2FIsFw+Q4heiGbYDTs0/GNuCrNNx7HYUKQ3jZKpoWCS32mnE/H5UkAOhHqMZiTY7bBpGlrbHcgOMSE0xoLh7Yy4flAI/tphx56jDphNQJdmZgzsZMG6Y8Dve3W0jwOGtdQYZBAFIKZOVRwDDaJ6bu7cuWrmprffftsrBenPP/8stq8UfMsIhtzcIyGvvvoqvv/+e9x0001F+x08eBA2m81rpEOGv2W7pEq5NWnSBOnp6ejVq1ep6U9SqP7HH3+oIXSZ7aokvJpc+2ntGsDy6mXwLMsOvUPqaU7W1EiyU4TXJUVXXY/6LbE7sHvSQgza1Barp72MWGseNjRogbuuGokVzVqiw5FDmPDdVxiwcyecZh3/xCdhdr8e6JOSpl4jKTMNidmZ2B8dgxBbK+SbTbAbNEQ6dZicOi5ob8DDDycW+51skuhdZC56JMmNIxhERP7UncRmIqoWMkOUdM49c2alRuKTTz7x2k9qJ3y5p5+Vug7fKXMlCPEk92X7oEEnh5WHDRumAocvvvjCb9s883KlCFxIQOSb3uXZ9pCQEL9togBiMqLFA0PwVttMZBmiYNWCcfXNd6sgQ2xJaogrR92DnGAzmuYdQ4eMQ+i3aRe0Qht67dqGi/9ehZ57/sEV61Zg4ryfkBFmgdNiRPPcfLQMd+Cuu5LqVN0PEVFtxRENonpORidkCtuxY8eq9SgkGPj555+9ZqFyzwTVuXNndOrUSdVoyPSzMruTjFoMHTrUa1+ZTlampt25c6cq9N6yZYua3lZGMyQ9y23EiBFqatoJEyZg5cqVamRDCsalWFDuy5oasjaGGDJkCM4//3w1Q9b+/fsxYMAAVQuyb98+lc4l09oKaZ90Ej/66CMVbEjgITNrycxZFFiueLQz1j6ThNQG4dgd55pZyi0nKBi/t+qE/tv34c/ETojNtyE4+yg6HdrrtV/3vbtw1T97kRkRiVRNx39eaIzwcO/ZpIioftNPLM5J5cdAg6ieu/HGG9WIgKQ/vf766yotSTr0l156qdfMUSNHjsTSpUvVlLQyK4gsvCedd1mvom3btl6vmZiYiFdeeUXVfkjQIsHIhRdeqGaMco84CAlmZJ+ZM2eqFC53UCGBjAQMstCep5dfflkt5idtlUBGRmMk7UuCEDcpHH/22WfV2h7SBhmdkddhoBGYVnVthd6bN8PkcMDusRaGMNoM+LNhe5VfnR9sQXh2vk8huUvjrEzkBIfCEBGM6Ch+LRIRVRXOOkVEVcq9Mrh7/Qui6vTGzHRc9K+38N75fTFxoKt2SMTlFKLDkSx02ncIoUYT8sJCYLLb8egPMxFmOznTWb7ZjPfOG4YVyUlo0y4E7/07gR8YEXl5beDiMp+Rx/4YwLPngUmoRERUZ917RTQ+mXgn3pj7AX6Z8hKu+3M92qdkov0RV41ObnSUCjKE3WTC5wMGIy00XN0/EhGJyecORXZQEKwmI+4bcXIhQSIiqjyOERMRUZ1lMWp49Y5k7DU+gAG3v42z927HFSP/DwUW15xWwT4TB+yPT8TkocMRlp+HrUmJ0A0GHDdoGDgoHB2bFp9VioiI09tWHEc0iIiozmt2az/sbNAfGbYmeGjJdATZrGq71d/sUU4nljVIVIv2SRiiGY0Y0pZBBhFRVeOIBhFVKVmZm6gmxHWPQ9phK5r/48Rbez/HjoRGWNWxA9KiouA0ugKOfF3HrCbJsBmNaFJoRQurDWF2B/r3ODlJARERVQ2OaBARUUCIevFcaNDVKuEmawjaH0xD0pHjSM7IwCGDht9jIvF9UpwKMsT+IIus8Ai5a+D0lUR0itSpst7IGwMNIiIKCME9GiB52oUwJQRB5rHd06MJXh10JvYFW3DIbMIxi1kFFm4ODUg3aBh5Y8krzRMRUcUxdYqIiAJG1I2d1E3WhmmvaVhw3IYLP9JxIDscIVlWr3U0Co0GjL4xFtcMCK3BFhMRBS4GGkREFHC0EyMXLaKAx6N/REZEMN40XYaMTAc0HbAZNLRJNuEWBhlERNWGgQYREQW8aGMBVo0Nwf/94cDyvQ6c28qIp88LrulmEVEdwNqLimOgQURE9UJiuIZJl3N2KSKi04XF4EREREREVOU4okFEREREVAKmTlUcRzSIiIiIiKjKMdAgIiIiIqIqx9QpIiIiIqISMHWq4hhoEBFRQNl4zIHBX+s4VgBEWYAnzcFqelsiIjq9mDpFREQBY9IaOzp/6goyRKZVw79zRyDVzmltiYhONwYaREQUMO5b4G+rhmfzrjr9jSEiqueYOkVERAHBqeslPmaH+bS2hYgCB2s0Ko4jGkREFBDszlM9qqHDx6evLURExECDiIgCRHZhySMaYmcWoJ9i1IOIiKoWU6eIiCggxIZope5jczhhMRlPS3uIKDDopf9poRIwdYqIiAJCduEpc6eUfDt7DEREpwsDDSIiCggmY+lfaToYaBARnS4MNIiIKCBYypARFWJijQYR0enCQIOIiAKCo9TMKQ0puQw0iKj809uW9UbeGGgQEVFAyLM6St2Hk04REZ0+DDSIaoFLLrkEd9xxh9c2uS/biahsNENpX2k6EsP4tUdEdLpweluiALNo0SJs27YNY8aMQV2VlpaGiRMnYsuWLTh69CgKCgqQmJiIHj16YPTo0WjSpEmx5+zcuRMfffQRNmzYgNTUVMTGxqJLly4YNWoU2rZtWyPvg06vfHvp+4SamdpAROXDlKiKY6BBVAvMmjULWhXldkqgMWfOnDodaGRlZWHv3r0466yz0KBBAwQHB2Pfvn344Ycf8Pvvv+Pjjz9Gy5Yti/bfvn27CkAiIyNxxRVXqKDk4MGD+Pbbb9X5kACkffv2NfqeqPq9sLT06W2JiOj0YaBBVAtYLJaabkKt0rx5cxUc+DrvvPNw880345tvvsHjjz9etH3GjBkoLCzEhAkTvEYvevbsiXvuuQc//fQTA40AtyPdicl/l76f3anDZKhFoxrbDgLPfAX8uRWw2l0V7WYTcO4ZwIsjgNbJrv3mrwFe+AbYetD1+EXdgf+MBBrGAgVWYNw3wI8rgWYJwLPXAn38jOJt2AM8Nx1Yv9dVrBJiAYb3BJ6/DggNqr73uP848PSXwPLtgJx7pxPo1NR1+2oxsO84YHcAkvoWFQrEhAMRwUCBDejZGnhpBNAs8dTHmLcGeHmm6/zIMQZ1Al68AWjXyPX4kQzgqS+AP7cB3Vq4XrNlg+p7z0SkMNAgqgDp1H7yySf4+eefceTIEZjNZiQlJaFv3764//77i/b77rvvVCd4z549MJlMOOOMM3D77bejW7duXq8ntRjJycmYMmVKpT4PqetYs2ZNUSfb7bnnnlPpVNOnT1dX+Zs2ber1vOPHj2PYsGG4+OKL1b7u5w8fPhwXXXQR3nvvPfzzzz8IDw/H+eefj7vvvhuhoaFer5GTk6OCgwULFqhzEhYWht69e6t9GzdujKog58g94uEpNzdX/TchIcFru/u+jIhQYOvxWdlGM2pVkJFfCJz7LHA4vfhj05cAS7cCO94B/t4HDHsZcHrMmPXpImDNbmD9G8Bd7wOfLHRt37Qf+GMzsOVtoEn8yf3Tc4BBz7r+62nLAeBgKvDFg9XzHiWoGDrOFQB42n4YmP2X9zYJstJyXDc3ed5f213vx1jC/MUr/wEu+Y/3tGMzlgFLt7nOX0iQ6/yt3nnyPS/bBmyf5AraiEr7NeZsUhXGqjiiCnj11VcxdepUdO7cGQ899JDqTEuneuXKlUX7vP3223jppZdUgCGPjxw5Ert371YpTUuWLKmW837LLbege/fu6ucXXnih6CbbLr/8crVd0o98SaqVw+Eo2sdt69ateOSRR9T7fOCBB1SAJMHKww8/DKd0IDyCDDn2zJkzcc455+DRRx/Ftddei1WrVqkaicOHD1fo/djtdmRkZKhAaO3atXjqqafU9n79+nntd/bZZ6v/Pvvss9i4caOq65D95fzHx8fjqquuqtDxqW44kK0j21qWPTUs2FeL0qt+Xuc/yPAcCfj9b+CzRd5Bhtvfe4Hl24Av/ue9PbcAmPGn97bvVxQPMty+XgrkFaJayCiGb5BRXv8cBpZsLfnxz/7wP7fxoTTgl/XAxr0ngwy3PUeBhRsr1y4iKhUDDaIKkLx/Gb0YN26c6sRKp1o6359//rl6XEYwPvvsM3Tt2hUffPAB/vWvf6mRjE8//RQhISEqUJGOfVWTmoZGjVypAjI64b7JiELr1q1VcbQ7qPAkwUeLFi1Uez3t2LEDL774onpv11xzjWr39ddfrwKqX3/9tWi/yZMnq5oIea8SmFx55ZVqdEXer81mw/vvv1+h97Ns2TIMGTIEF154oTp/u3btUgGPjL54kpEXeXz9+vUqsJH3LPflfcrnIHUetanQXUbEPIO07OzsovtWq1UVs3vyDdR876ekpED3mLe1vh0josyZhzrsWam1530Em0tvsuwjV+RLIilPQcWvyhdoTq/3YTef4uveYgKMhmr5zI/leI8+VpikeZVwjBz7KaLMYDOOZWee8jUD/d9HfTwG1R4MNIgqQFKIpNMrHXF//vjjD/WH9KabblJpVZ6pPJImJX8UJZXpdJNCaRkdWLp0adE2SbWSQuvLLrus2P7NmjXDoEGDvLZJR94dbAl5n/PmzVOjJlKELSMQ7psEVZIutnz58gq1V0ZS3nnnHbzxxhu49957ERcXp76AZKTDkxTSy2MSKP373//G+PHjVaAjAZ8ESfLFVVvIbFhBQUFev0sRERFe9TryXvyljJV0XwIpz8kE6tsxooI0ND+5+RQ0DOkUX3vex5CuwBneaYxeurcABnYCbhsCRIQUf3xIF6BrC+C+i723J8cg+ObzvN6H6cqzgZZJ/o9z94VAkLlaPvOEob1d76Ey+rUHercp8RjhD14OhPtJj+zcTJ2jhLO7uGpRPPVqDZzToV78+6iPx6Dag8mJRBUg6VJSyyBX92UEQeoZ+vfvjwEDBsBgMODQoUNqv1atWhV7rnubjAB07NjxtJ5/qa94/fXX8f3336u2CvlZgiHfUQIhoxy+JBVJvgSk/SI9PR2ZmZkqmJDRB3/knFREdHQ0+vTpo36W9kob5ZzLFTB3GpV49913VYG4pG5J+4QESBLkjB07FtOmTVPpaxS4Nt1iQNiE0tKidBhqU661yQgsehGYMAdYsgXIyQdsDiAs2BVE3D/cVSDdqgGw/BXg9R+AFf8AYUHA5X1OBhgv/wto2xCYswpomgA8MByI9Ym8ZFTkz/8D3vwRWL8bsDmByBBg2JnALedV7/uc8yTw9k/Aih2umg0hAdaZrVxpT6t2AFn5KthB4zigcawrcCi0Az1aAmOL/23y0qYh8NerwFtzXK8lIzRDu7nOg7uu45uHgUnzXLUZUgwur1mbfheoVtPB35WKYqBBVAHSiZV0IxkZkBGBFStWqA67XNWXTm9tJUXRUtwtBeEyFC1XkWS6WOnEx8TEVOg13UPgUqMiM0JVJxkRkuPIuZc6ELnSJaMbkrImAYk7yHCT9DYpSncXyFPgCjUb8OiZTvx3NeqWuAjghRGl79exCfDhPf4fkw7zqMGu26kkRQOv3IjTLjwEePJq/49d5aqvqjQ5P1PuKvlxCbQe9a5BI6Lqx0CDqIKioqKKaiCksy0LzMmVc0mbctdJyCJyvjMuScqVcO9T1Upbj0PqJ2QmLKnVkCFqWQzPX9qUkOJ1X5J6JelL7vZLgCIjHDLzk3v0oTpJLq/UXsjxJNCQFC3J4fVX8yKfi2yvjnoYqn1eGmDEf1ef+rN26rVsVIOIKICxRoOonKTT6lmo5u7ct2vXTv0saUQyQiDbpBDZs55AOuk//vijyid171/VpC7C3Q5/2rRpg06dOqlRARmFkXxZKSL3RxbNc9diuEmBtxg4cGBRWpQUa2/atAm//fab39eRVKfy8C388wzSpBBdgjf3CIzk90rQJ7NMudO53KRgXQKp052iRjUj11b6PoV2P7M3ERGVsjJ4WW/kjSMaROWUl5enOtYSTEiwIB1eqcmQ+gBZmVq2S4rPjTfeqEY4ZPYjqY2Q582ePVv9V2ZyMpY0J3wlSQG11Cu88soraqpZ9/odniMoUhQuU78KaV9JNRQyU9Uzzzyjpr2VtTdkulpJterRoweGDh1atJ8siiczPj3xxBPqcWmD1H1I0bukl3Xo0AHPP/98md+DrFHy119/qWlsGzZsqEYmZHRo7ty5KnCTgm83absUfv/3v/9VheoyC5gUpctq4bKOidR5yGdBgS+01G80DTk2DSFlmOyJiIgqj4EGUQXqHEaMGKHqMuQmgYPUBkiAMXr06KJF4qQIuUmTJipNadKkSarjLSMJ0sF3r3VRHS644AI1o9Uvv/yiOv2y3oUUrnsGGrLPm2++ifz8fFx66aUlvlb79u3x4IMPqroTqeuQegeZylcCC8/gRFKwZLE+qZWQUYTFixerQEo6/LL2hu/6HKWRAEkW/ZMREhkNkfcgryXF5rIeiW+R/XXXXac+g6+//hpfffWVGsWQAFCCIVm3pDZNb0vVJ8hU2tVEHeEMMoiIThtN95zMmIjqBalpkFEZSSmSIMgf98rg5RmJIKpp2njvqY+96ci934RQM9MbiKjsnh5W9glFXvqpB0+tB9ZoENVDsu5FVlaWSqEiqk8YZBARnT5MnSKqAyQ9S26nIqlKpU1RKylNUjcxZcoUtGzZsthifNVdRC9rbpRGCrs9FzkkKqtcKwfoiYhqEwYaRHWAzF41derUU+4jM1nJjFanIgXTx44dU8XZTz/9dLUVpPsjNRenqgdxmzx5skrbIiovTihFRFS7MNAgqgNkRWwpqj4VWXyvNKUFIp5khqmqFBcXh3feeafU/dq2bVulx6X6w8jSCyKqBpy2tuIYaBDVAbJuhO/Cf3WNBEKnY0E/qr9Mp6w61PE4B8qIiE4rFoMTEVFACC5letsX+p22phAREQMNIiIKJBEljNNbUHi6m0JEAULXyn4jbxzRICKigLHiRn8THDjx34hvaqA1RET1G2s0iIgoYLSP05Az1oi7f3Vg0X7gjs46EjZ9UtPNIiKqlxhoEBFRQAmzaPh0mOvrzWaz4eNNNd0iIqL6iYEGEREREVEJnBqLLyqKNRpERERERFTlGGgQEREREVGVY+oUEREREVEJuDJ4xXFEg4iIAppm02u6CURE9RJHNIiIKCBlzNqBfWMWomeqDQUJQF7HI4g6p3FNN4uIqN7giAYREQUUfck2WCf9gV1Xz4cj1bUiePAxYPeFc+AsdNR084ioDqZOlfVG3jiiQUREAUEvsELv9Ry0jQdQgEho6OD9eK4deSuOILx/wxprIxFRfcIRDSIiCgiOJ2aqIEOYYCv2uFRqOIKMNdAyIqL6iYEGEREFBMfbC9V/dWiwIgLByPd63AkN6WvTaqh1RET1DwMNIiKq85z70+FwmlWQkY9IGKEjVwuBA4aimw4D9jyzsqabSkR1cGXwst7IGwMNIiKq83LeXIoChCIHsXDCjFREww6TCi7cN0CDM9uGHSvTa7q5RET1AgMNIiKq85xfr4BBJUcZcAzxOIZEGP0sn5ESH4W3/nMAH7y1ryaaSURUrzDQICKiOs94KFOlSwEOZCMMsUhDAo4hCAXq8WyzBcfCQ6EbDAi32bFmcRamzDxe080mojpA18p+I2+c3paIiOo05740mJEHE2SNDCdaYk/RdbRYpOMQkpFmTEBekAUGqx3SF0hKz8CC2cFoHWnC4KHRNf0WiIgCEgMNIiKq02wf/A9mWKFBhxUhXoP1ElREGjKwt2lrQAo1dR2RmVnY0igRK+OjoH+RhvYdg9GwcXCNvgciokDE1CkKSD/++CN69uyJVatWlbrvJZdcgjvuuMNrm9yX7Z6ef/559ZrlJW2Q50mbTpeaOCZRTdG/XqYCCtdKGcW/1kya3RVkCE1D7PF0NEvPxuHEcGyKCMN9zx0+3U0mIqoXGGgQEVGd5jiYBV1NbAsYUVjs8f0R8V7306IicCwiDH0PpCFU02G3A2mZxRf4IyIS8telrDfyxtQpqvdmzZoFjXNfE9VZWq4UfNugw6RWBA9CNqwIVVPaHtFisC6+RdG+x2KjsKNlE/Vzk+x8OAEsbByPxhOs6NpCR/NwoGsccFUnA5LCNEQGe68k7nDqcOiAxVi2DkV59yciCiQMNKjes1gs9f4cENVVji+WwoJ8ZCIZEUiFUa2iUQADrNimtcW2qBYIznMiN1xXaVMpiXHFhvWb5eRjf3w4lh+Buk3f5sQTix2uB3U7ooOA6FADUgqAAolMoCHECHRJAEZ20nBbZw2ztgML9+voEKvhjq4aIiyaeo23VusodABnNwTmX23AzgwNn2x0Yk+mDpMR6JpgwJguGhLDGIgQUeBhoEEBTdd1fPbZZ5g5cyaOHj2K5ORk3HLLLRg+fHjRPlKLIdunTJlS7tdPSUnB+++/j5UrVyI1NRXh4eFo0qQJrrzySq9juP3www/4/PPPsX//fsTFxeGaa67BzTff7LXP8uXL8f3332Pz5s04fvw4zGYzOnXqpNp95plnFnvNRYsWqbbv2bMHMTEx6rjdu3f3216r1aqOP3/+fBw4cEAFWbLvmDFj0L59+3K990OHDuHSSy/F7bffjo4dO2Lq1KnYsWMHIiIicPHFF+Oee+6ByeT9J2bNmjX44IMPsGnTJtjtdjRv3lydg8svv7zY65d1X6mnOXz4MD766CO8+eabWLZsmXqf8r4effRRNGvWrFzvi+oO55Lt0Ee+p1b9lmAjH9FqJENmnspFGHbGNIHdYoTZqSMy2wrNrsNkU5GCl2IDmiYD4HS6Sj4cTmTk6MjI1QEZ3TgxMpHvAP5KkZuO11fq2JPlfrKOr7YCD/TQ8MqKkwt5/HkI6PapE/uzAc8mzNruxEd/A+tuNiIqiMEGUW3EFb8rjoEGBbR33nkHhYWFquMvnWoJOKSou3HjxujWrVulXls6v9KZPnbsGK6++mo0bdoUOTk5qrO9du3aYoGGpGilpaWpzrl0xufNm4eJEyciKSkJF154YdF+UsCdmZmpOuvymARIEnjcfffdmDx5slcQsXDhQjz22GNo2LAhbrvtNhiNRvX8JUuW+G3vfffdhw0bNqjXvvbaa1V7Z8+ejVtvvVUFChIwlNfSpUvVeb3qqqvUe/vjjz9UcCfvUYIjt8WLF6uOvwRYI0eORGhoKH755Re89NJLOHjwoDqXFdlX5Ofnq4Cnc+fO6jHZZ/r06Xj44Yfx9ddfq/NCgUd/bAYMKswoRAGikYso2GCBA2b1eKe0w9gbGYeUiEjYTQYYjE4023sMGTHhJ18DwPa4iOIvrrlryzXA5oAafrA7AT+/SyeDDJfVR4D/riy+WuCuTP/vQ54/fauOMV0ZaBBRYGGgQQFNrmxPmzZNjQqI8847D5dddhm++eabSgcau3fvxt69e1Xn3XdUoqTRD+mQy6iHkHZIMCIdYc9A4+mnn0ZIiEzReZJ04iUw+Pjjj4sCDYfDgfHjxyMyMhKffvopoqOji/a9/vrrix1fjrN69WoV3Jx99tlF2yVIuu666/DWW29VaFRn165d6nxKsOM+vryeHM8daEhbX3vtNfW+pK0JCQlqu7wnGU2RbTKyJMFaefZ1y8jIwI033uj1Ocjozttvv40VK1Z4vd+aJsFmWFgYgoKC1H0J9mTkTQIz9+9sdna2CrLcZMRGRt1Kui+/WxKUumuN6ssx9IxcGKAjG0nIQZJaF9wdZAh5lSbZadidFAuHwTX3icNox1GLGRF2h7pKmWUyItvi81Wo6zIocpIUWcguflYaL4kMipTHobRcABF1+vPgMXiuasvvFdUenHWKApqk2riDDJGYmKg6qJK6VFnugEE67/KHsjTSOXY/RwQHB6sr8Pv27fPazzPIyMvLU51ouSJ/xhlnqDQity1btuDIkSNqFMEdZLjbJZ19XzKCIulHHTp0UK/pvslIR58+fbB+/XoUFLhWUS6PQYMGFQUZQr48ZGpdSSWT9rvbKl8u0lZ34CDks7npppvgdDrVSEh593UzGAzFgqtevXqp//qe35oWGxtb9IXq/rzcX6hCRt48v1CF7xeo7/0GDRp4TWhQX45huPNc9V9JmRL+Znwx6jpCrNai+xGFhUg+moaDoSE4HGRB+5RjGLz7KCILTuzj1AGbR0QhoxkyqiFM/kccLD7fpFFBwOTztWKtSQ7z+3RYjMCN3cLr/OfBY/Bc1Zbfq6qma1qZb+SNIxoU0Bo1alRsW1RUlOrIVpa73uOTTz5RIxJt27ZVndshQ4aomoqytkXSpDxJ7YSkfEmthlzF8eT5x1nSg4S/GoQWLU7OsuM5AiNpZNK+kkjgIV8C5VHS+xLy3iTtSeo5RMuWLYvt26pVK6/3U5593SQg8fyi8m0DBSbD2PNhX/YPDNP3nLhyJsMQEiSc/HdiNRqR6/O70eXQEbTKysanbZtjR1QEYvOt6HIwE0viI10FG2aj6yWsDlegEWyCZtGgq0BD9wow+jXS8NI5Bkxaq2PBPh0d4zS8OsCAXskafrvGibt+c+JQDjC4qQQfRny+Wcd7651Iy3e9Uoc4YFxfA1rHsINCRIGHgQYFNLnS7Y8My1YFqZuQK+9SE7Fu3TpVSyH1CXLlfezYsV77lqVOQEYApNZAag5GjBiB1q1bqyFlCTAkoJGi88qQ13vwwQdLfFzSjarqHFflea4LbaCaYfrqblhmPwhroYxnaDDBDrv6apN7dqxt2tzrKqP8NtgtZpidTqQFWbAqJBjdsvOwomEUEiOMSDA4YCu0on2CEXefbcYF7aS4vHR9i8fbGNzMgG23ev9uPtpbw6O9mUxARPUDAw2iSpLCcknbkZuMGEjNhtSFSBGzDAmXh9QTSHH5s88+qwIYT++9957fkQSpE/E3euFLZsNKT09Xoy6n6phXB3dbpZ7Dl3ube5/y7EskTEFGhBVK+qIEGzK9raTs6XAabdjecjBijmcguKAQToOGgrAQOE1GrEuIwbGQYDQqKMTK2Ej8fpMF5zTjVyIRUVXiZRWiCpKCNalv8CTpO1IHIbKyfKaiKQP3qIfvVXhJo9q4caPXNqm1kII6mTJXUp482yUzXPkaNmyYqpv44osv/B5bHqsuMnWupGTJjFgyZa+bnD8ZAZIRm4EDB5Z7XyJhMNtUGXg4chAEJwwIgQGhyHckI/FoBo4nJ+BA80Y40qgBcsNCYS204sse7QBNR8tCK+LNDgYZRFQi1mhUHC/fEFXQqlWr8PLLL2Pw4MGqTkJqEaSQWdKnpHDbHXCUh8yEJUVvMgOUzKIhxevbt2/H3LlzVdqTTJ3rGZRIGtQTTzyhZluS9SVkmwQe/upQJBXrr7/+woQJE1QKloxsSFqW7Cf3peBO1gSpDtIumYZXpqyVtl5xxRXqfP3666/4+++/MXr06KJZpMqzL5HQBndAyIylsEOqrU+mSUUgDxf+vRJrDrWFbjAgNS4MqeFmfNivq7p/VlYegp06frrLz/S2RERUaQw0iCqoTZs2OPfcc9WsU7IAnkzLKlfipSMsaVMVITNtTJo0SU3LKtPDymvKFX4JDiSA8Qw0hBR2SxqULGwnU9NKqpZ7wb57773X+x+7yaQCGJliVwIXd1AhhdRSvO5vgcGqNGDAALz77rv48MMP1ciEzWZTwZhM5+u7CF959iUyv3EdHDOWFRukz0YY9qMhElJl6lgg8Vg2nh4xALsSYtD6eAb67z+MUa+0R+vmwTyJRETVQNNZKUlERHVcrnYvjKrUW4cR+SqVahs6IhUnp0gWm5rE44uhXXDRtr247pVOaN3P+3EiIl/3XrulzCdl0jcdeAI9cESDiIjqPrVyt6wLngEDXLVTIchDa+xSBeLHEYd0xKBNShqu2rgTDXtEM8ggIqpmDDSIyItnAXZJZEElWXCQqNZoGgdt176iIMMJE5JxXE1yK2KQhZ1wYq+pAdpf1QQXPdquhhtMRBT4GGgQkRdZfLA0zz33nFrpnKi2sDw2CPqdnxbdtyOkKMhwi9dSsSO4MS5jkEFE5cAVvyuOgQYReZFVyUvjXqGbqLYwXdUd+Xd+BbMKL0pYpFED4gawJoOI6HRhoEFEXvr06cMzQnWOFh8BQ69k5K8EgpAJIwrgQLDXmMbusAaIOCe5BltJRFS/cME+IiIKCMG/PQJ7iAW5iESaMRa7IuJwzBKNVHMkNoS3xsaGLRAeE1TTzSQiqjc4okFERIEhMhSRe16AY/w8WLYcw/ytDZETcjKwiMqzofmIFjXaRCKqe5w+9V5Udgw0iIgocCRGwfja9TACuOZALpaPWYZDf6fBGGnFkOnnwxjKrz0iotOFqVNERBSQghuHod93A5HzdAYyx+YhsmtsTTeJiKhe4aUdIiIiIqIScHrbiuOIBhERERERVTkGGkREREREVOUYaBARERERUZVjjQYRERERUQmcnN22whhoEBFRQMoudGLDEcChazBqek03h4io3mGgQUREAWfgV3YsPig/yaXIUWiBFIyu6UYREdUzrNEgIqKAsni/O8hw07AbDbBkf821iYjqLqemlflG3hhoEBFRQBn+rb+tGgb73U5ERNWFgQYREQWUbFtNt4CIiARrNIiIiIiISsCVwSuOIxpERERERFTlGGgQEREREVGVY6BBRERERERVjjUaREREREQl4MrgFccRDSIiIiIiqnIMNIiIiIiIqMox0CCqYy655BLccccdXtvkvmwnIiKiqqVDK/ONvLFGg6geW7RoEbZt24YxY8agLsvLy8PUqVOxYMECHD16FJGRkejbty/uuusuJCYm1nTziIiI6iUGGkR1zKxZs6BpWpUFGnPmzKnTgUZBQYEa0ZGAadiwYejcuTMOHTqEGTNmYMWKFfj0008RHx///+3dB3hUZfbH8RN6ryK9g3QQREVEYFdpoggoCqvSFAu6YMHCX1xAcQUbKyAiKii6LiqiAopgR1EEFFFREBAEadJ7SzL/5/fiHWcmkzZOkkny/TzPQHJzM3PnziR5zz3nvK8BkujzWZ4o/fwAAFJGoAFkMwUKFMjqQ4gps2fPttWrV9stt9xiAwYM8G9v27atXX/99fb000/b/fffn6XHiMyzbm98Cl+Ns46vJVifBnH292p5rGapOLPVv5ktXm3WrIZZyzp/7pqQYPbeCrPdB80qlza7brLZ1r1meeLMCuQzyxtndizeLH9es2KFVFthtnO/WYLv1LZC+U59rO0JiWaJiWaVy5i1rm82Z5mZz2d2dh2zjs3MGlU3u7iFWX7+JAOxKJGLExHjtxqQwY4fP24vvPCCLViwwHbs2GH58+e38uXLu9KeoUOH+vd766233FX4jRs3Wr58+axx48Y2aNAgO/PMM4PuT70YFStWtKlTp/6l41IW4JtvvnEft2zZ0r995MiRLjswc+ZMN4ivVq1a0Pft2rXLZQ4uvvhit6/3/Zdccol16dLFDezXrl1rxYoVsw4dOtjgwYOtSJEiQfdx6NAhmzZtmit10jkpWrSonXPOOW7fKlWqpOt5LF++3P0f2qPSrFkzq1q1qi1cuNDuvvtuK1iwYDrPELKbhESf1X0+5X0+3KybKqkT7DlbaQPveujPL97axWziILPDx8z+9i+zZevC38nxgGDm2Emzg8eCv34y4dQt1K+7zH79/M/PP/3x1E0aVDH77CGzssXT8EwBIHsg0AAy2Lhx42zOnDlucH711VdbQkKCbd682ZYtW+bfZ8KECTZjxgxr1KiRG2yr5+DNN990JU2PP/64tWnTJurHNXDgQPP5fLZixQp74IEH/NubNm1qDRo0cIGGjvvWW28N+j6VWuk5dO/ePWi7sgoffvih267nqgBA97F+/Xp76qmnLE+ePP4gQ4+9fft269atm9WqVcsFL7NmzbL+/fvbSy+95AKptDp58qT7v1ChQkm+pm1Hjx61devWuXOLnO3eT8MM7pOhRMOwI7XtH/nyW6H4U+8hmzTf7ObOZh9+l3yQkVF++s1s0rtmI6/K3McFgAzErFNABlMfhLIXo0ePtssvv9yuvPJKu/POO+3ll192X1cGQ4NrXYF/7rnnXDCiTIZ6CwoXLuwCFQ3so61Vq1ZWuXJl97GyE95NGYU6deq4gMMLKgIp+KhZs6Y73kAazD/44IPuufXq1csdd+/evV1A9f777/v3mzJlim3ZssU912HDhlnPnj1ddkXPV0HDM888k67noUAlMLPhUfDy66+/uo+VNYkVe/bscVkujwKvgwcP+j8/ceKE7d69O+h7tm3bluLnCtoUNOb2x1hw6uVOs71FitnvxUoEbTu6Yp2d+G6jZQkFGzno9eAxOFdZ9b5C7CDQADKYSoh++eUXNxAP59NPP3W/dPv27evKqjzlypVz5UD6BapSpszWo0cPN1hfvHixf5tKrTZt2mSXXXZZkv2rV69u7du3D9qmDIUXbIme5/z586158+ZuNqh9+/b5bwqqVC62ZMmSdB3nFVdc4TIXDz/8sCuT0vnScSrg8YIkNYzHijJlygSVcen9Ubx48aAenLJlywZ9T2iGJ/TzChUqBE0QkFsfY1xbS5e6e3ZY1X0BA5gC+axwh+ZWoHMLyxJ/b5KjXg8eg3OVVe+rjOjRSOsNwQg0gAx2xx13uKszurqvAbqu+mvgnajmUDM3Q5LUrl07yfd625QByGzqr9Av/Lffftu/TR8rGFJpVChlOUJptif9wfCOf+/evbZ//34XTFx00UVJbl999ZW7upUe6sP4z3/+4wKV//u///OvM6JAxivvUg8Icr4utdJeDVy7lNkr5x+1uKp/zEim3ogXh5idXsqsZyuzO7udavrODGowH9TB7LoLM+fxACCT0KMBZDBd5Ve5kTIDutKuKVc1YNdV/cmTJ8fs+VeWQM3daghX2lpXnNSDodmcSpcuHdF9eulyNX7369cvaseqZnT1tGzYsMFlRypVquSumt17773u6zVq1IjaYyG2+Ybls7jHkpt5ymff9Y2zYgXyWo2SZnFxdcw2PG32606zymXNCv6RUdRVycf6m43oZXbwqJmCkeVrzZauNStTzCw+8dSsVJt2m9WuYLbvsNk5dcyWrzPbvs+sTHGzkkVOBRDaV+/7nQfMmlY/NbvVtA/NChc0a9/YrFyJU7NW6XsAIIch0AAyQcmSJf09EBpsT5w40TV/q2zK65NQ03TojEsquRJvn2hLbT0O9U9oJiz1aii7oRKkcGVTokF+KJVeKZvjHb8CFGU4Dh8+bOeee65F+7l4/RpeXa/6Q5TxUFkXIE1OD/mzlzevWa0K4U9OqaKnbtKy7qlbSlL7umfElbwYQDaSSEVUxCidAjKQegQCm9q8AXG9evXcxyojUoZA29QQHh8fHzRInzt3rqs99faPNpUbeccRTt26dd1sTcrIKAujLIGayMNR47XXi+FRg7e0a9fO/a+Zpzp37myrVq2yDz74IOz9pLd0Kjma6UrPSzNcAQCAzEdGA8hAmqZWA2sFEwoWdEVfPRmayrVEiRJuu5q+r732Wpfh0GxT6o3wprfV/+rpyKurrhlAq2i/9tprNnbsWDeFrrd+R2AGRU3hY8aMcR/r+LxpakNppiotjKe+CK29oVmgVGrVokUL69ixo38/Lay3cuVKGz58uPu6jkF9H2riVnmZptYdNWpUup7HNddc48qnlL3QzFUKePT4OvbQ9TUAAEDmINAAMrjPoU+fPq4vQzcFDmqQVoChVawVZMiQIUPcIFllSpMmTXIDb2USNMBXL0dG6dSpk5vRSrM1adCvBnUtwhcYaGif8ePHu/UotO5FcurXr2+333676ztRX4casDWVrwKLwOBEJVharE/T+2ra20WLFrlASs3bWpwwdH2OtFCwovvRNLYKls444wx37hTkAQCArBHnC5zMGABCqNdBA/aGDRu6ICgcb2Xw9GYigIyQUjO4b9ifU0gDQFr07pf2tXVmvsjkI4Ho0QCQIq17ceDAAVeGBAAAkFaUTgE5jMqzdEuJSpVSm6JWpUjqm5g6daqbzSl0Mb6MbqLXmhtpmc0rcJFDAAAQOwg0gBxGs1c9++yzKe6jmaw0o1VKHn30Udu5c6drzh4xYkSGNaSHo16LlPpBPFOmTHFlWwAAZBQfK35HjEADyGG0areaqlOixfdSk1ogEkgzPEVT2bJl3fS0qVHTNwAAiE0EGkAOo0X/Qhf+y24UCEV7QT8AAJC5CDQAAACAZLAyeOSYdQoAkKOUTGZ+gGpFMvtIACB3I9AAAOQoa64Lt9Vny6/N/GMBgNyMQAMAkKOUL5bPXuzkfaY1aRNtQKFPrFShrD0uAMht6NEAAOQ4fZvks75NzE6ePGnTp7/wx9bMWwsGQM6RyPS2ESOjAQAAACDqCDQAAAAARB2lUwAAAEAyEi2OcxMhMhoAAAAAoo5AAwAAAEDUEWgAAHKs9fvMbjrQz248MMAKPGk26L34rD4kAMg1CDQAADlWgxe1kkZeM1djHWfP/WA26WuCDQBplxCX9huCEWgAAHKkt9YooEj6l/+fH2fJ4QBArkOgAQDIkf77Q1YfAQDkbkxvCwDIkY4mZPURAMgJWBk8cmQ0AAA50qYDWX0EAJC7EWgAAHKk7/dl9REAQO5G6RQAAACQjERmk4oYGQ0AAAAAUUegAQAAACDqCDQAAAAARB2BBmLSM888Yy1btrStW7f6t82dO9dtW758eZru49JLL7UbbrghA48SAADkdIkWl+YbgtEMDiDb27hxo7311lu2evVqdzt06JANGjTIbrzxxqw+NAAAci0yGohJ1113nS1evNgqVqyY1YeCbOD777+3//73v7Zjxw5r0KBBVh8OAAAgo4FYlS9fPneLNYcPH7aiRYtm9WHEDJ/PZ0ePHrUiRYpk6XG0bdvWPvroIytevLj9+OOP1rdv3yw9HkTo8DGzd78227zT7LkPzY4cNytW2Kx8CbM1W81qljcrkM+sUH6zEkXM2jc2O7OmWeliZnUqmH3/q9nRE2bNa5kVzM/LACAqEuIoiYpU7I3kkGNs27bN9UmElrDceuuttmTJErv99tvt6quv9m/v16+fG8jPmjXL9Wg8++yzNmfOHKtUqVKKj7N9+3b7z3/+Y19++aX7vEWLFnbnnXcmu/9XX31lM2bMsFWrVtmJEyesWrVqdsUVV7hbIB27Mip33HGHTZo0yV01L1mypDsm9X7o+U2bNs3Gjx/vHlv31bx5c7vrrrusevXqQfelr7388sv23nvv2W+//WYFChRw++q81K9f379fYmKizZw50z2G+lPi4uKsbNmyduaZZ9r//d//+YOvlStX2vPPP29r1qyxgwcPuuOqW7euO9dNmjRJ82uk8/3iiy+6c6LjOnLkiJUvX94uvPBCd1+FChXy76vemJtuuslGjhzpgovXX3/dfU///v39r+/ChQvt1VdftbVr11pCQoLVqVPHrr32WrvooouCHlf7zZ8/337++Wfbs2ePC1T0HHX/eh7ppeePbO7Rt8zunhH+a6v++H/L3uDtMxf/+XHeOLME36mPixQ0++9tZnZWsg8347t469uUP4EAkJH4LYsMo0F65cqVbdmyZf6B6MmTJ+3bb7+1PHnyuIGrF2iopl619T179kzXY2iQrUG/Smb0vbVq1bJvvvnGPd7x48eT7D979mx7+OGH3WB84MCBVrhwYTfIHjt2rG3ZssWGDh0atL/u9+abb3YD5b///e9uIO7RYNsb2N9yyy3u+xUkKMjRYDtv3rxuv/j4ePvnP/9p3333nV188cV25ZVXuuf75ptvuhIxBVQNGzZ0+ypwmTJlil1wwQV2+eWXu/OkgGPRokUuWFGgoX4EPZ4CkN69e1uZMmXcYF3nVQP39AQaO3futLfffts9t86dO7tj1vlTIKYgRgFWqP/973+2f/9+6969uzsGBSYyefJkd/ytW7d2AYOO/eOPP7Z7773X7r77bve8Pa+99poLDnr06GGnnXaaC1i886GATMEfcpHfdiUfZKSVF2SIMiH/GG82aoZZnvAVwv0WmvVt+tceEgCQMgINZKizzz7b5s2bZ8eOHXNXx5UV0MddunRxg2cNwjV41uBWV8A1q1R6aECsgfi//vUv69atm9vWq1cve/zxx92AONCuXbvsscces44dO9pDDz3k3679tV01/hrcV6lSxf81BQ8jRoxwg+pQ+/btc1frlYnxlC5d2iZMmGBLly618847z21T0PH111/bxIkT/dtEGZSrrrrKZWOmTp3qtmlgXrNmTZclCaRAxaNskM6hnkPjxo3tr1Ag+M477wSVqSkgePrpp13G5IcffkjyGMogKeukAMejIFFBxoABA1wQ5FEgpMDrqaeesq5du/rLznQuFOQF0tf/8Y9/2CuvvOKCE+Qii1dH/z5VQgUAUcDK4JGjGRwZSoGDgokVK1a4z5Xd0AC1T58+rmxH9fSi7IbKhNIbaHzyySfuqroGqYECB/+eDz74wGUFLrvsMhckBN6UQVDZkgKEQLrqrhKqcHTFXgPp0MBKNm3a5N+mEqEaNWq4JuXAx9R5Offcc10ZlAIHKVasmP3+++8uO5Ec7SOffvpp2KxNeuTPn98fZOh4Dhw44I7tnHPOcdsUaITSuQ4MMrznqNdPXws9t+qf0GutINPjBRnq8VB2R/spSFPJWbjHzEmUfQp83fT8lZnz6D26e/fuoO9RmV5Knyv407nMto/RqKpFnTIZaairznbnisfgXPG+SvXnA7GDjAYylDfwVoChq/kKKM466yzXl1CiRAm3vWnTpm67avPTW2uvjIPKjrwyJY/KcdQYHEglRzJ48OBk708DgtAr/qH37SlXrpwVLFgwaJt3/Cot8mzYsMENMkL7FAJpoF2hQgWXDRg2bJhdf/317v51rtq0aeN6JhQUiDIy7777rk2fPt1d/VepVKtWraxTp04RzdKlXos33njDfvnlFxdsBQocDHnClTXpOWpgFdrnEihwIKUMiErElOlRCVroOc/JQoM0L3D0qH9HwXOg0Nc19HO9d7L1YzSubnZ5K7M3lljUjL4qxUDjpqbZ9FzxGJwr3lep/nwgdhBoIEPpj6f6JhRI6Kq9rlarWVrZADVtK9BQuZKah1U2k5G8K4yjR492gUg4oYPcwGboUHoOqT2WR03Ran5Pjq7mi4IurQeh5nKdMw3E1UCuMqbnnnvOBTIalKgfQudSZVQqO/Oa58eMGWN/+9vfLK3UD6HSLQUqys7ovCigUe/GqFGjkgQeKZ0TZTRUNpbcealdu7b/aq/6alRGpZ4MZXt0n/p+lbyFBh7IJWbdbfbZKrPH55it2GC2adefX9NbSm/FPHFm+fKY5c9rVrCAWY1yZu0amzWuZta6ntm85WaHjpn1ucCsXmWzx+KTfbinO/LnDwAyGr9pkeFUDqWafvVkqBncK8tRtuPJJ5+0L774wg3MvexHeigw2Lx5s+vvCMw8qB8j9Gp81aqnyjNKlSrlSpYyix5379697vmlFJx4NAOTMhi6eRmHcePGuabtwGlb1Tvh9U9o8K7GevVWpCfQUGZEs3qFBgh6TdL7HPU9upKrHpOUqA9FTfVPPPFEklI5ZYIUSCGXuqDRqVuk6v/ZXwUA0ZLAit8Ro0cDGU4DbF0Z1xV3DUS9ZmttV23yCy+84IIETfeaXu3atXMlOWpoDqQpW0N16NDBDWJ19d/riQikumkdT7Spb0HHqGbz1EqKVEIVypv+Vv0Tye2jmZ+UFQks2UoLnXdlEgIzMOrV0GuSHppNS9T0raAvpefoBTShWR/NOhVapw4AALIvMhrIcOoz0OBSdfyBjdUqqVJplXoD1GcQyUJ4usKv0iLNwPTTTz+58hyVG2kqWWUuQgfjms1I5UWaaUqDY9V1Ktuwbt0611iu7EFq63aklxrfNYWusjcqFVOApeeqLIQ+94IfUY+DzkWjRo1cj4YyMxqAq5xJvRmiMiqVTKl3QxkdDdg/++wz14OS3oXqlDXRFLZDhgxxmRA1bS9YsCDdiyXqeFUOpdmzVAKnfhTv+PW6aJV3HbOcf/75btYpzRSmGa7US6OGeGVEFISGC1RSoyBRUwuLHlM0AYHKzbyANJL1OQAAQOQINJDh1PR9xhlnuAbg0FIZDboVKKR3tqnA+9ZgUmU4KgMS9X5o4K71L0JpClw1M6s3QWtqqLxKAYlmO9L+oQ2Z0aBBu/ogVD6mY/SCCg3ENUC/5JJL/Ptec801blCuKXE1eFYTqcqjNG2szqE3aNZgWrNoqXldDekqXdI0vJpRKz00Pa8CFZVlqT9Cz1+ZH50nBWPpoUBDjfka8GtqYfVa6PgV/KnB3aNgQqVayn6ooV1BaLNmzdx5eeSRRyKaPUTZHjWXB1KPi25ekEmgAQCIRAILg0cszhdavwAAQA4Ql0IzuG8Y19kApM0FN6X9AthnU5gBKxA9GgAAAACijks6QA6jmb3S0hSu5vHk1giJBSodC9e0H0i9K+ldewUAAGQOAg0gh1Fj9U033ZTqfnPmzIl643s0PfbYYzZv3rwU91E/jhrQAQDIKIkpLP6JlBFoADmMmsbVaJ2ajGh8jybNoNWlS5dUJwMAklOhoNn245wfAMgqBBpADqPBd2YuSJhRNP2xbkCkmlcwm/8r5w8AsgqBBgAgRyrGXzgAUZBA6VTEmHUKAJAjdaiZ1UcAALkbgQYAIEe6vplmVUu6VFSfU2tfAgAyGIEGACBHiouLswntLSDY8Fn1YmavdKOmCkDaxafjhmD8tgUA5Fg3NTMr8PV025lYzIb262XFi/BnDwAyCxkNAECOpj7O0/MeskL5s/pIACB3IdAAAAAAEHXkkAEAAIBkML1t5MhoAAAAAIg6Ag0AAAAAUUegAQDIsXYfNRt6oLfdeKC/lZhg9v3vTEAJIH3i49J+QzACDQBAjlVxqtkxK+L+3B3zxVnTGWYJiYlZfVgAkCsQaAAAcqSB7yh7kfQSY7XJBBoAkBmYdQoAkCNN/yn89q3HMvtIAGRn8WEuWCBtyGgAAAAAiDoCDQAAAABRR6ABAAAAIOro0QAAAACScZIWjYiR0QAAAAAQdQQaAAAAAKKO0ikAAAAgGSfjqJ2KFBkNIAZceumldsMNNwRt0+faDgAAkB2R0QBymE8++cTWrFljN954o2VXe/bssYkTJ9pPP/1kv//+ux07dsxOP/10a9GihQ0YMMCqVq2a5Ht27tzpvueLL76wo0ePWq1ataxfv3520UUXZclzAAAgtyPQAGLAG2+8YXFRSs0q0Jg3b162DjQOHDhgv/76q7Vq1coqVKhghQoVsk2bNtmcOXPsww8/tOnTp7tAwrN//367/vrrXYBy9dVXu6Dkvffes3vvvdf+9a9/Wbdu3bL0+QAAkBsRaAAxoECBAll9CDGlRo0aNm3atCTbL7zwQpeleO2111wQ4XnhhRdsy5Yt9sQTT1jbtm3dtssuu8xlP5588kmX1ShSpEimPgdkghMnzR6ZbbZkjdmvu82uaW92d3czBe0+Hy8BgKg4yXmMGIEGEIHjx4+7we2CBQtsx44dlj9/fitfvry1bt3ahg4d6t/vrbfestdff902btxo+fLls8aNG9ugQYPszDPPDLo/9WJUrFjRpk6d+pdeD/V1fPPNN+7jli1b+rePHDnSlVPNnDnTZs+ebdWqVQv6vl27dlnXrl3t4osvdvt633/JJZdYly5d7Omnn7a1a9dasWLFrEOHDjZ48OAkA/dDhw654OCjjz5y56Ro0aJ2zjnnuH2rVKli0aBz5GU8Aul10GN4QYbkzZvXrrrqKvd8Fi9e7I4bOUjXB83eXRG87d6XTt0842aa5aEVEQCyCoEGEIFx48a5Mh4NzlWqk5CQYJs3b7Zly5b595kwYYLNmDHDGjVq5AbbR44csTfffNOVND3++OPWpk2bqJ/7gQMHms/nsxUrVtgDDzzg3960aVNr0KCBCzR03LfeemvQ96nUSs+he/fuQdtXr17tSpW0Xc91+fLl7j7Wr19vTz31lOX5YxCnIEOPvX37dlempLImBS+zZs2y/v3720svveQPEtIjPj7e3bf+1/n1ArHzzz/fv48eR30cCohCNWnSxP3/448/EmjkJMdPJA0yAAAxh0ADiLAPQtmL0aNHh/26MhgaXDdr1symTJniMh6iAXuvXr1coHLeeee5q+7RpJ4G9SYo0FB2IpQCDgUVN998c9BjK/ioWbOmO95A69ats8cee8zat2/vPtex63MFG++//7516tTJbddzVOmSeifOOOOMoExN79697ZlnnrFRo0al+/l8+eWXdvvtt/s/L1u2rN12220u6AlsApdy5col+X71aogCEeQgAyelbT/KpwBEwRGmt40YOWUgAioh+uWXX9xAPJxPP/3UZRb69u3rDzK8wbAG39u2bXOlTJmtR48eLgOgUiKPSq3UaK2ehlDVq1f3BxkeZSi8YEv0POfPn2/Nmzd3A/t9+/b5b4ULF3blYkuWLInoeJWRUOZEvRfKwijQOHjwoMtweDQjVXJ9Lt42b59YoIZ1ld55lLHRc/KcOHHCdu/eHfQ9er+k9LkySXodcs1jnF3H0iIuMSHVfXL8ueIxOFe58H2F2EFGA4jAHXfc4Wr/dbW+cuXKrp/hggsucD0CKifaunWr26927dpJvtfbpgxAw4YNM/X8q09BZVtvv/22v59BHysYCswSeJTlCHXaaadZ8eLF3fHL3r173axPCiaSm0rWK7FKr1KlStm5557rPtbx6hh1zvWH6b777nPbNSOV98colLfN2ycWlClTJknQGhocKaAKFFp2Fvq5ZubKVY9xWzez21+w1PjiUn/f5fhzxWNwrnLh+wqxg0ADiICu8qvcSJkBZQSWLl3qBuy6qj958uSYPacacKuXQQ3hukJUsGBB14OhQXzp0qUjuk/vypQavzUjVEZSRkiPo3N/1113uT9AXsmUV0IVyCuZ8kqokINsfNqsxs3hv1Ygn1mpIjSCA4iKoywMHjECDSBCJUuWdH0QummwrcXi1PytsillOURN06EzLqnkSrx9oi219Th69uzpZsJSr4auHKmsKFzZlGzYsCHJNpVeKa3tHb8CFGU4Dh8+7M8+ZCSl2NW4rsdToKEMiwKJ77//Psm+3jY1wiOHqV7ezDf7z8+PHjcrXDB4n8f+LLEDAGQ+ejSAdNIgN7B+1Bvc16tXz32sMiJlCLRNDeGB/QQapM+dO9eleb39o019Ed5xhFO3bl03E5ayAsrCKI2tJvJwtGie14vhefHFF93/7dq185dFde7c2VatWmUffPBB2PtRqVN6hNbjBgZpmtlLwVtgBkZN6b/99pstWrQo6HV69dVXXRAUOEsVcqjQIAMAkOXIaADppGlqNbBWMKFgQQNe9WRoKtcSJUq47Srnufbaa12GQ+tmqDfCm95W/z/44INRn3EqsIFaC9qNHTvWTaHrrd8RmEFRU/iYMWPcxzq+5Hoo6tSpY/fff7+bLUtrb2h6W5VatWjRwjp27Ojf75ZbbrGVK1fa8OHD3dd1DOr7UIOeysuUUUjPrFNao+Srr75yAUKlSpVcxkjZoXfffdcFbvfcc0/Q/irZUpAzYsQIN92wzr/W1tC0ttqmNT0AAEDmItAAIuhz6NOnj+vL0E2Bg8p3FGBoJWqvZ2DIkCFWtWpVV6Y0adIkN/BWJkEDfPVyZBRd3deMVgsXLnSD/sTERNe4HhhoaJ/x48fb0aNH3boXyalfv76bXlZ9J+rr0ID9yiuvdIFFYHCiEiwt1vfyyy+7aW+VWVAgpZImLU4Yuj5HahQgadE/BQ/Khug56L7UbH7NNdckabJX0/jzzz/vytcUZOl5qZH93//+d1BABABAep0wmjQiFecLnGMMQK6g2ZiUldGsVwqCwvFWBo9k/QsgFsSl0KPhG8Z1NgBp/F1yW9rLf33/CZ5FK7ejRwPIhbTuxYEDB1wJFQAAQEbgkg6QDag8S7eUqFQptSlqVdKkvompU6darVq1kizGl5HUnK01N9Iym1fgIocAAGQpKqciRqABZAOaverZZ59NcR/NZKUZrVLy6KOPuvUm1JytJumMakgPRz0XKfWDeKZMmeLKtgAAQPZGjwaQDWjqVm8l7uRo8T01XscqrX/x7bffprqfgiDN3gX8VfRoAIiGuNvT0aMxnh6NQGQ0gGxA60aELvyX3SgQyowF/QAAQGwg0AAAAACSE0eTRqSYdQoAkCMVzuoDAIBcjkADAJAjze+lf5MuFXV7xq2XCQAIQKABAMiR2lXPZ8XyBgcb+qP3xIVUDQNAZiDQAADkWHtuNRtS6D07I89We76DzxJYERwAMg2XdQAAOVqjAtvc7dqGA7L6UAAgVyHQAAAAAJLDrFMRo3QKAAAAQNQRaAAAAACIOgINAAAAAFFHjwYAIEc6keCzS2abfXzgWqtt26xf0iU1ACB1LAweMTIaAIAc58hJnxUcn2Dvb46zeMtva6yaFZqQ1UcFALkLgQYAIMfp/XZCmK1x1mJ6fBYcDQDkTpROAQBynLkbw29fsTuzjwRA9kftVKTIaAAAAACIOgINAAAAAFFH6RQAAACQHCqnIkZGAwAAAEDUEWgAAHKVhEQW1ACAzECgAQDIVXYfTczqQwCAXIEeDQBArlIkHwXXANKBXxkRI6MBAMg9fD4rVpA/fQCQGfhtC2Qzl156qd1www1B2/S5tgMAAMQKSqeAXOyTTz6xNWvW2I033mjZ1Z49e2zixIn2008/2e+//27Hjh2z008/3Vq0aGEDBgywqlWrZvUhIsYcj0+0gvm4zgYgraidihSBBpDNvPHGGxYXFxe1QGPevHnZOtA4cOCA/frrr9aqVSurUKGCFSpUyDZt2mRz5syxDz/80KZPn261atXK6sNErIiLs9JPJtqROwk0ACCjEWgA2UyBAgWy+hBiSo0aNWzatGlJtl944YXWr18/e+211+zee+/NkmNDlL30idmz75tt3WtWpYzZ95vM9hz68+v585q1OsOsc3Oz/Je5oCKco5re1uczm73E7MHXzXYdMDu9pFnJomb1KpkNvNBs5udm85af+obLzjEb3tOsTPGkdxafYPb4HLPnPzA7EW/W7WyzYZeZDXrabNlas0plzJ692ey8+ul/vh9+Z/bMwlMXU2/sZPb3Jum/DwDIQnE+n37bAsgox48ftxdeeMEWLFhgO3bssPz581v58uWtdevWNnToUP9+b731lr3++uu2ceNGy5cvnzVu3NgGDRpkZ555ZtD9qRejYsWKNnXq1KAejW3bttncuXPTfFz6nm+++SbJ9pEjR7pyqpkzZ9rs2bOtWrVqQV/ftWuXde3a1S6++GK3r7Rs2dIuueQS69Kliz399NO2du1aK1asmHXo0MEGDx5sRYoUCbqPQ4cOueDgo48+cuekaNGids4557h9q1SpYtEqqerYsaO7/fvf/47KfSILjZttdu/Ladr1ZJ68VmDsK8kGGgoyfB+PNZu/IvzX8+bRYhvB25rXNPv6saT3OWiy2XMfBG8rkO9U0BF4f9ueNytX0tLsvW/MLn7oVEAkefKYvTfCrEPw7wMAGS/u7gNp3tf3SIkMPZbshowGkMHGjRvnyng0OL/66qstISHBNm/ebMuWLfPvM2HCBJsxY4Y1atTIDbaPHDlib775pitpevzxx61NmzZRP66BAwearjOsWLHCHnjgAf/2pk2bWoMGDVygoeO+9dZbg75PpVZ6Dt27dw/avnr1aleqpO16rsuXL3f3sX79envqqacsjwZKfwQZeuzt27dbt27dXFmTgpdZs2ZZ//797aWXXnKBVHrFx8e7+9b/Or9eIHb++edHeIYQUya8m+ZdJ5/XMfWd3ksmyJDQIENWbDD77Eezto3+3HbgiNn0j5LuGxhkePc3ZpbZk9dZmk2a/2eQIYmJp7YRaACZjxaNiFGkCmQw9UEoezF69Gi7/PLL7corr7Q777zTXn751NVZZTA0uG7WrJk999xzLhhRJuPFF1+0woULu0BFA/toU09D5cqV3cfKTng3ZRTq1KnjAg4vqAik4KNmzZrueAOtW7fOHnzwQffcevXq5Y67d+/eLqB6//33/ftNmTLFtmzZ4p7rsGHDrGfPni67oud78uRJe+aZZyJ6Pl9++aVddNFF1rlzZ3f+fvnlF7vttttc0BNLlGlRlsuj4OjgwYP+z0+cOGG7d+8O+h5lq1L6XEFbYHI6Rz7GyZDBewqO5cuf+k6R5PL/CCD8x60SrDSuMh5//ES6ztXxQ0eSffyYeD14DM5VDL+vEDsINIAMphIiDXo1EA/n008/db90+/bt68qqPOXKlXNlUvoFqlKmzNajRw+XaVi8eLF/m0qt1Gh92WWXJdm/evXq1r59+6BtylB4wZboec6fP9+aN2/uZobat2+f/6agSuViS5Ysieh4mzRp4jInTzzxhMvClC1b1v2xUoYjlpQpU8YKFiwY9P4oXrx4UA+Ojj1QaIYn9HM1wQdOEJAjH+P6iyytBn+5IDgbEM559ZL/WriSqzoVzdo3Dj7uUkXNLm+VdF+VSgXKE2f5RvVO17kqOPjipPc7qEPsvB48Bucqht9XiB2UTgEZ7I477nC9DLq6rwyC+hkuuOACa9u2rSsn2rp1q9uvdu3aSb7X26YMQMOGDTP1tVJ/hcq23n77bXesoo8VDIXLEijLEeq0005zfzB0/LJ3717bv3+/CyaUfQjHK7FKr1KlStm5557rPtbx6hh1znW17L777ovoPhFDHuxjVrrYqWbwvYdODfI37QrphYgza1rDirdtaMWPHbGDRYqFvy8FIZ88cKrR+pG3zPYfMStVxKxo4VPN4AP+bva/z041Y2tA1KGZ2cPXmOXLm/S+XhxiVrH0qf3jE081bI+80mzwVLOVG081mT9zs1mF0ul7vleef6rkasqCU8dwUyeznmGCGgCZgNqpSBFoABlMV/lVbqTMgDICS5cudQN2XdWfPHlyzJ5/TROr5m41hCttrStO6sHQIL506XQOmv7gpcvV+K0ZoTKSMkJ6HJ37u+66i9m6sru8ec3u6n7qlgYHH0s+k5VXwawatv/Z9dQtHM00lRZFCppNuP7ULdDnUZiAoM8Fp24AkE0RaACZoGTJkv4eCA22tcCcmr9VNuX1SahpOnTGJZVcibdPtKW2Hof6JzQTlno1lM7WYnjhyqZkw4YNSbap9ErlS97xK0BRhuPw4cP+7ENGUt2vekz0eEwLDMfns8/7cHUSADIDPRpABtIgN7CpzRvc16t3qj5cZUTKEGibGsID+wk0SNd0tao99faPNvVFeMcRTt26dd1MWMoKKAuj2lo1kYejRfO8XgyPGrylXbt2/rIoNWuvWrXKPvggZErQP6jUKT1CmwQDgzQ1oit4izQDgxwoLs7OKMufPgDp+b2RjhuCkNEAMpCmqdXAWsGEggUNeNWToalcS5Qo4barxOfaa691GQ7NlqTeCG96W/2vmZzyqmwkA6iBWgvajR071k2h663fEZhBUVP4mDFj3Mc6vuR6KDRT1f333++mt9XaG5reVqVWLVq0cGtZeG655RZbuXKlDR8+3H1dx6C+DzW9q7xMU+uOGjUqzc9Ba5R89dVXbhrbSpUquYyRskPvvvuuC9zuueeev3SOkPPEp3GmKADAX0OgAWRwn0OfPn1cX4ZuChzUIK0AY8CAAS7IkCFDhljVqlVdmdKkSZPcwFuZBA3w1cuRUTp16uRmtFq4cKEb9CcmJrrG9cBAQ/uMHz/ejh496ta9SE79+vXt9ttvd30n6uvQInyayleBRWBwohIsLdan6X017e2iRYtcIKVZqLQ4Yej6HKlRgKRF/5QhUTZEz0H3pWbza665JmyTPXIxn8/KFcmYwB0AEIyVwQGkSHOYKyujWa8UBIXjrQyenkwEkJHikmsG16rgd6VhnQ0A8H6f3BtcAp0S39g/p+YFGQ0AqdC6FwcOHHAlVAAA5Dr0XkSM0ikgh1F5lm4pUalSag3SKmlS38TUqVOtVq1aSRbjy+gmeq25kZbZvAIXOQRSlcpMawCA6CHQAHIYzV717LPPpriPZrLSjFYpefTRR23nzp2uOXvEiBEZ1pAejnouUuoH8UyZMsWVbQEAgNhDjwaQw/z222/+lbiTo8X31Hgdq7T+xbfffpvqfgqCNHsXkOYeDdVQD+MaG4C0ixt+KM37+h4uxqkNwG9bIIfRuhGhC/9lNwqEMmNBPwAAkHFYtQgAAABA1BFoAABynBrJzDBZg6oGAMg0BBoAgBzn46vCzS7ls1UD+bMHIJ3i0nFDEH7jAgBynBql8trvg/NYg9I+i7N4q27b7MBgsyIF+LMHAJmFZnAAQI5UrkgeW9k3waZPn+E+L5R/QFYfEgDkKgQaAAAAQHJY6DNi5JABAAAARB2BBgAAAICoI9AAAAAAEHUEGgCAHG1fQiGbf6yx/bQ7q48EAHIXmsEBADlWg2lm6w/3cRPcv/Wyz0rmj7d9Q/nTBwCZgYwGACBHmvZdvK0/aAGraMXZ/pNmIxfHZ+2BAUAuQaABAMiRrltoYZfqfeDLrDgaANkWK4NHjEADAAAAQNQRaAAAAACIOjriAAAAgGQlLcFE2pDRAAAAABB1BBoAAAAAoo7SKQAAACA5VE5FjIwGAAAAgKgj0AAAAAAQdQQaQAy49NJL7YYbbgjaps+1HUD67TmayGkDgCxGjwaQw3zyySe2Zs0au/HGGy27+v333+2dd96xL7/80n799Vc7fPiwVapUyc4//3zr16+flSpVKsn3LFu2zKZPn26rVq2y+Ph4q1Wrll111VV2ySWXZMlzQNY6fJxAA0CU0KMRMQINIAa88cYbFhcXF7VAY968edk60Fi0aJFNnTrV2rRpY9dee60VLVrUBRCvvPKKLVy40F588UU77bTT/Pu/9957dv/997tgZMCAAVaoUCH7+OOPbdSoUS5oGThwYJY+H2S+Kd9y1gEgqxFoADGgQIECWX0IMaV58+Y2d+7coGCiR48e1rhxYxszZoy9/PLLdtttt7ntyl489thjVqZMGbe9ePHibruyGUOHDnUBS8eOHa1KlSpZ9nwQJYtWmd0zw2zJ2j+3nVbcrFghswNHzQ4cMYs/lcn47Lr7zOo3C3s3hY4fNSv/T7Nbupjd29OsQH6zQ0fNJr1rNnOx2cbfzfLlMWtczaxEEbM6Fcxu7mxWt1LSO0tMNJu73Oz7X83aNDBr35iXGwD+QKABROD48eP2wgsv2IIFC2zHjh2WP39+K1++vLVu3doNbj1vvfWWvf7667Zx40bLly+fGygPGjTIzjzzzKD7Uy9GxYoV3aD4r1BfxzfffOM+btmypX/7yJEjXTnVzJkzbfbs2VatWrWg79u1a5d17drVLr74Yrev9/0qO+rSpYs9/fTTtnbtWitWrJh16NDBBg8ebEWKFAm6j0OHDtm0adPso48+cudEWYhzzjnH7ZveQX7t2rXDbtdjK9BYv369f9u6dets37591rNnT3+QIcoQ6fl88cUXLuNx/fXXp+sYEGNGv2o26tWk23cdPHULsbFchWTv6nje/Ga/HzAb+arZq4vNFo0xaz7MbPOu4B0//fHPjye8azbv/8w6twje56rHzWZ9+efn9/QwG3ttep4ZgJhH7VSkCDSACIwbN87mzJnjBudXX321JSQk2ObNm12fgGfChAk2Y8YMa9SokRtsHzlyxN58801X0vT444+7sqBoU4mQz+ezFStW2AMPPODf3rRpU2vQoIELNHTct956a9D3qdRKz6F79+5B21evXm0ffvih267nunz5cncfGug/9dRTlidPHn+Qocfevn27devWzfVHKHiZNWuW9e/f31566SUXSP1VKoMSZS88J0+edP+rXCqUt+3777//y4+NLLTvsNm/30jz7gcLFrLNpcsl+3Vf3rx/fvLjb2b3vJQ0yAiVkGh2//+CA43l64KDDHlirtkdl5qdnrSPCAByG2adAiLsg1D2YvTo0Xb55ZfblVdeaXfeeacr3RFlMDS4btasmT333HMuGFEmQ70FhQsXdoGKBvbR1qpVK6tcubL7WFfzvZsyCnXq1HEBhxdUBFLwUbNmTXe8gZQtePDBB91z69Wrlzvu3r17u4Dq/fff9+83ZcoU27Jli3uuw4YNc9kFZVf0fBUIPPPMM1F5ft79BDZ4V69e3fLmzWtff/21C7ICaZsowxIr9uzZ4zJiHgVpBw/+eUX+xIkTtnv37qDv2bZtW4qfK8ALfO457jF+3292It7S6mDBwmZ/BMFpkbAu+DiStWlX8HH/8XmQk/G26/t1Ofv14DE4VzH+vkLsINAAIqASol9++cUNxMP59NNP3S/Svn37urIqT7ly5VyZlH4pqpQps6nPQZmGxYsX+7ep1GrTpk122WWXJdlfg/j27dsHbVOGwgu2RM9z/vz5rq/i9NNPd2VM3k1BlcrFlixZ8pePXUHcBx984J7D2Wef7d9eokQJl0XR+VTz988//+yySwpylEGSY8eOWaxQNqZgwYJB76XAki/165QtWzboe0KzQaGfV6hQIWgygRz3GHUrmtU7FUCnRaUDey0uPoXARH0VAfJe3yFtd3xJy+Dj/ltjs6IhmbQap9tpf2uRs18PHoNzFePvK8QOSqeACNxxxx2ul0FX95VBUD/DBRdcYG3btnXlRFu3bk2218DbpgxAw4YNM/X8q8dBZVtvv/22O1bRxwqGVBoVSlmOUGrQ1h8BHb/s3bvX9u/f74KJiy66KOzjeiVWkVKvy5NPPunKze65554kX1cWxcvMaFpcKV26tI0YMcLd1C+CbEyDkjfuMuv1qNlPp953qan3+2+2ulKNsF8rGH+q3M41fL84xOwfbc227DH71/+Sz5xc2tLsiVNBtl/pYmZv3m1263NmP281O6u22fOD05VNAZAN0KIRMQINIAK6yq9BrTIDyggsXbrUDdh1VX/y5Mkxe07Vs6DmbjWEKxWtq0jqwVDQoYF5JLwUuBq/tcZFtOm8PvTQQ64s7JFHHnFN9aH0PO677z775z//6TJNCpzOOOMMl9mQGjXCDziRjTSqZvbjRLNjJ8z2HDT78Duz8+qZlS91KmA4csIsbx6znQfMDh6xPF9UMEsmkXU8X36zfTPMShQ9FcR4Tdx3XWZ2RCUcPrNEn1mRgmYnE07dr2amCqfDmWZrJp06rkLMHgcAgQg0gAiVLFnS3wOhwfbEiRNd87fKprw+CTVNh864pIGwePtEW2rrcah/QjNhqVdDKWqVFYUrm5INGzYk2abSK9XPesevAEUZDi2qd+6551q0gwzNMqUgRlPYpjYNsMqoAmf08krEtNAfcggN5iuVNbv2b8HbC/9RwlSqmPvvy4bxVnJSMvehZvCSf5Zq+CkTUaxw8LYwgW2yxwUACEJ+F0gnNVIHNqp5g/t69eq5j1VGpAyBtqkhXOs8BA7StT6E6km9/aNNfRHecYRTt25dNxOWMjIayKteVtmCcLQqt9eL4VHvg7Rr185fFtW5c2e3oJ56KMJRs1966Twpk6F+DJV7BdbwpoVKu3Ssmso3uZIu5Fx/LKcBAMhCZDSAdNI0tRpYK5hQsKAr+urJ0FSuuqKu7Wr61orWynBotin1RnjT2+p/zeSkmZIyQpMmTey1116zsWPHup4Gb/2OwAyKGqqVKRAdX3I9FJqpSitua3pbDdg1va1KrVq0aOEWwfPccssttnLlShs+fLj7uo5B5UtqeldWQVPrqlE7rZQV0jlSb4XOndbmCKQ1PAKb1LWy+ueff+6yGaVKlXKzfqmvQ+dYM2WxIGLucyxR72miDQDISgQaQAR9Dn369HF9GbopcFCDtAKMAQMGuCBDhgwZYlWrVnVlSpMmTXIDb2USNMBXL0dG6dSpk5uBaeHChW7Qn5iY6BrXAwMN7TN+/Hg7evSom7EpOfXr17fbb7/d9Z2or0MDf03lq8AiMDhRCZYW69PMUJr2dtGiRW6Qr1moNPgPXZ8jNVq/Q8etzJGyGqGUEQoMNLRuh56vMkgq4dIMJXqO1113nf/1QO5SoSjdmwCQ1eJ8oRPPA8jxNC+5sjKa9UpBUDjeyuDpyUQAsSTuseSnuPUN4zobgDT+Lhl1NM2nyjcqpM8rl6NHA8iFtO7FgQMHXAkVAABARuCSDpANqDxLt5SoVCm1KWpV0qS+ialTp7pyo9DF+DK6iV5rbqRlNq/ARQ4BAED2RKABZAPqPXj22WdT3Ed9C5qpKSWPPvqo7dy50zVnayG7jGpID2fHjh0p9oN4pkyZ4sq2AABA9kaPBpAN/Pbbb/6VuJOj6V8D15CINcePH7dvv/021f0UBGn2LuCvokcDQDTEjU5m9c8wfCP/WNMHDhkNIBvQon+hC/9lNwqEor2gHwAAiF00gwMAAACIOgINAECOVCiZpTSan5bZRwIAuROBBgAgRzp8u/7EJV0qamnfzJsEAQByMwINAECOpNXrV/c1K2RabMtnJfP77NdBcZYvD6uGA0BmoBkcAJBj1Spt9mSJ/7mPBwwYYPnzk80AkE5cm4gYGQ0AAAAAUUegAQAAACDqCDQAAAAARB09GgAAAECyaNKIFBkNAECOl+BjoAAAmY1AAwCQY93/udmNBwbY4IMDrMCTZqMXx2f1IQFArkGgAQDIkfYcjrdxX+sjL5sRZ6O+NDt4PCFrDwxA9hKXjhuCEGgAAHKkJi9a2L/8zV9Mulo4ACD6CDQAADnS1iPht68/kNlHAgC5E4EGAAAAgKgj0AAAAAAQdQQaAAAAAKKOQAMAAABA1LEyOAAAAJAcpq2NGBkNAAAAAFFHoAEAAAAg6gg0gBhw6aWX2g033BC0TZ9rOwAAQHZEjwaQw3zyySe2Zs0au/HGGy07e+ONN2zFihX2008/2ebNmy0xMdGWL18edt8ffvjB5s+f7/Zdu3atHT161EaOHEmgBgBAFiKjAcTIoPqpp56KWqDx7LPPWnb3wgsv2KJFi6xMmTJWrly5FPddvHixvf7663bo0CGrW7duph0jYlBiotlPv5kdO5HVRwIAuR4ZDSAGFChQIKsPIeY888wzVqFCBcuTJ4/ddttttmPHjmT3veKKK6xv375WuHBh++CDD+y7777L1GNFDPhps1nzO82Ox/s3xT38ivny8WcOALIKv4GBCBw/ftxdcV+wYIEbAOfPn9/Kly9vrVu3tqFDh/r3e+utt9yV9o0bN1q+fPmscePGNmjQIDvzzDOD7k+9GBUrVrSpU6f+pddDfR3ffPON+7hly5b+7SojUjnVzJkzbfbs2VatWrWg79u1a5d17drVLr74Yrev9/2XXHKJdenSxZ5++mlXklSsWDHr0KGDDR482IoUKRJ0H8omTJs2zT766CN3TooWLWrnnHOO27dKlSrpfi6VKlVK875ly5ZN9/0jBzlyzKzhnz93nro7t9rPFYPf6+bzmcUxVyWAdOB3RsQINIAIjBs3zubMmeMG51dffbUlJCS4PoJly5b595kwYYLNmDHDGjVq5AbbR44csTfffNP1Tjz++OPWpk2bqJ/7gQMHms/nc70NDzzwgH9706ZNrUGDBi7Q0HHfeuutQd83b9489xy6d+8etH316tX24Ycfuu16ruqR0H2sX7/elXop2+AFGXrs7du3W7du3axWrVoueJk1a5b179/fXnrpJRdIARmi7i1hN5c9eiTpRgYMAJBp6NEAIuyDUPZi9OjRdvnll9uVV15pd955p7388svu68pgaHDdrFkze+6551wwokzGiy++6Mp7FKhoYB9trVq1ssqVK7uPlZ3wbsoo1KlTxwUcXlARSMFHzZo13fEGWrdunT344IPuufXq1csdd+/evV1A9f777/v3mzJlim3ZssU912HDhlnPnj1ddkXP9+TJk64MCqfs2bPHZcQ8CtIOHjzo//zEiRO2e/fuoNO1bdu2FD9XgKcAM9c+xta9Fk5eX+o/YzH1PHgMzhXvq6j8fCB2EGgAEVAJ0S+//OIG4uF8+umnbqChvgGVVXnU1KwyKf1SVClTZuvRo4fLNKh52qNSq02bNtlll12WZP/q1atb+/btg7YpQ+EFW6LnqRmfmjdvbqeffrrt27fPf1NQpXKxJUuWZPhzyy7U3F6wYMGg91Lx4sWD+nVCS8FCs0Ghn6uXJS7gSn2ue4zKpS2c3UWKWWpi6nnwGJwr3ldR+fmIurh03BCE0ikgAnfccYfrZdDVfWUQ1M9wwQUXWNu2bV050datW91+tWvXTvK93jZlABo2bJip51/9FSrbevvtt92xij5WMKTSqFDKcoQ67bTT3B8BHb/s3bvX9u/f74KJiy66KOzjeiVWQIb4+Smzov9IsvmXMuU54QCQhQg0gAjoKr/KjZQZUEZg6dKlbsCuq/qTJ0+O2XNaqFAh19ythnClonWVVT0YCjpKlw5/VTg1XomIGr/79esX5SMG0qBIIbM1E83OvMPs6Mk/35t5uLwIAFmJQAOIUMmSJf09EBpsT5w40TV/q2zK65NQ03TojEsquRJvn2gLLNkIR/0TmglLvRpKUR87dixs2ZRs2LAhyTaVXql+1jt+BSjKcBw+fNjOPffcKD0LIJ3OqGx25NVT62is225WvZydmEigAQBZiXoGIJ3USB3YqOYN7uvVq+c+VhmRMgTapobw+Pj4oEH63LlzXT2pt3+0qS/CO45wtKCdZsJSRkZZGNWTq4k8nF9//dXfi+FRg7e0a9fOXxbVuXNnW7VqlVvDIhw1wwKZQmV6Z1QyK/hnbxQAIGuQ0QDSSdPUamCtYELBgq7oqydDU7mWKFHCbVfT97XXXusyHJptSr0R3vS2+l8zOeXNmzdDzn2TJk3stddes7Fjx7opdL31OwIzKGoKHzNmjPtYx5dcD4Vmqrr//vvd9LZae0PT26rUqkWLFtaxY0f/frfccoutXLnShg8f7r6uY1Dfh5reVV6mqXVHjRqVruehVcF//vln97GmDhbNaiXKoFx11VX+ffU477zzTlDGSN/vLfKn/hOm1wUAIHMRaAAR9Dn06dPH9WXopsBBDdIKMAYMGOCCDBkyZIhVrVrVlSlNmjTJDbyVSdAAX70cGaVTp05uRquFCxe6QX9iYqJrXA8MNLTP+PHj7ejRo27di+TUr1/fbr/9dtd3or4OLcKnqXwVWAQGJyrB0mJ9mt5X095qkK9ASrNQaXHC0PU50kIL/6m8K5Cm0RUFDYGBhhrTva95Pv74Y3cTHQOBBgAAmSvOFzjZN4BcQfOSKyujWa8UBIXjrQye3kwEECviHvuzbDGUbxjX2QCk8XfJwyfSfKp8wwtwWgPQowHkQlr34sCBA66ECgAAICNwSQfIBlSepVtKVKqU2hS1KmlSP8PUqVOtVq1aSRbjy+gmeq25kZbZvAIXOQQAANkTgQaQDWj2qmeffTbFfdSDoBmtUvLoo4/azp07XXP2iBEjMqwhPRw1ZqfUD+JRr4XKtgAAiA1MlR0pejSAbOC3337zr8SdHC2+p6bnWHX8+HH79ttvU91PQZBm7wL+Kno0AERD3MN/LgSaGt9wMvKByGgA2YAW/Qtd+C+7USDEgn4AAOQeNIMDAAAAiDoCDQBAjlS5SPjttajMA5DeFo203hCEQAMAkCP9MED/Jl0q6vv+jAYAIDMQaAAAcqRShfPZ8LMDgw2fPdDarEiBzJttDQByM5rBAQA51ujWZjXWTLdEX5xdN7C/5c/Pnz0AyCxkNAAAOV6euKQlVACAjEWgAQAAACDqyCEDAAAAyWH+iIiR0QAAAAAQdQQaAAAAAKKOQAMAAABA1BFoAAAAAIg6Ag0AAAAAUUegAQAAACDqmN4WAAAASA7T20aMjAYAAACAqCPQAAAAAECgAQAAACD2kdEAAAAAEHUEGgAAAACijkADAAAAQNQxvS0AAACQnDjmt40UGQ0AAAAgA40aNcqKFSuW684xgQYAAACAqKN0CgAAAEgOlVMRI6MBAAAAZKHvv//eOnXqZEWLFrWSJUvaFVdcYZs2bfJ//brrrrMLLrjA//muXbssT548dvbZZ/u3HTp0yPLnz2+vv/66xQoCDQAAACCLbN682dq2bWu7d++2l19+2aZMmWLffPONtWvXzg4ePOj20deXLVtmx44dc58vWrTIChYsaCtWrPDv88UXX1h8fLzbN1ZQOgUAmcTn8/n/ICBznDx50o4ePeo+PnDggLvaByBnK168uMVlo5mixo8f735XLVy40MqUKeO2NW/e3Bo2bGgvvPCC/fOf/3TBw/Hjx+2rr75yAYgCjR49erjvWbx4sXXu3NltO+OMM6x8+fIWKwg0ACCTKMhQShxZ47bbbuPUA7nA/v37rUSJElG7P9+wjB0uf/bZZ/b3v//dH2RI/fr1rVmzZvb555+7QKNmzZpWpUoVF0x4gcZNN93kLqR8+umn/kAjlrIZQqABAJl4lU1/AEOprrZr1672zjvv5MrpDzMa55fzm53x/o3sd212snfvXjvzzDOTbFdmYs+ePf7PvQBD2dmVK1e6oOLw4cM2a9Ysl+1YunSpDRo0yGIJgQYAZBKl8sNdZVNDX968ed3XCDSij/ObsTi/nF/8NWXKlLHff/89yfYdO3a4UiiPAos77rjDPvnkEzvttNNc1kOBxj333GMff/yxCzYCG8ZjAc3gAAAAQBZp06aNffjhhy6z4VmzZo1999137mseL4PxxBNP+EuklAkpXLiwjR071qpWrWo1atSwWEJGAwAAAMhgCQkJrswp1NChQ2369OnWsWNHu++++9zMUiNGjLBq1apZ//79/fspg3H66ae7nowJEya4bcqGn3/++TZ//ny7+uqrY+41JNAAgCxWoEABV1er/8H5zW54/3J+kTbHjh2zXr16Jdn+0ksvueBh2LBhLlhQ8NChQweXuQjtN1EmQ8FKYNO3ejcUaMRaI7jE+TTfIgAAAABEET0aAAAAAKKOQAMAAABA1BFoAAAAAIg6msEBIIYsWbLE5s6daz/88INt2bLFNQ5qjnSk38aNG+2RRx5xU0QWLVrULr74Yhs8eLDlz5+f0xkFmzdvdk2seq+uX7/eqlevbq+99hrnNko++OADe/fdd2316tVugTbNQHTVVVdZt27d3Jo8QHZAoAEAMeTLL7+0tWvXWosWLdzgApHRubvpppvc4OzRRx91i2GNHz/ezfpC4BYdCi4WL15sjRo1ssTERHdD9Pz3v/+1ihUr2m233WalS5e2r776yh566CG3iNsNN9zAqUa2wKxTABBDNFjTSsty6aWXusWaGBinn+aknzZtms2bN89Klizpts2ePdvGjRvntpUrVy7Kr1zufq+OGjXKfvzxRzIaUbRv3z4rVapU0DYFGgsXLnSrQHvnHohlvEsBIIYweIiOL774ws455xx/kCGal16DY5Wn4a/jvZqxQoMMqVevnlsZ+ujRoxn86EB0EGgAAHJkf0aNGjWCtmnhq9NOO819DciOvv32W7cytHqOgOyAQAMAkCN7NEJX1BVto/cF2TXIUNnUNddck9WHAqQZzeAAkIEOHTpku3btSnW/ypUrMxsSgLDUAD58+HBr2bKl9e7dm7OEbINAAwAyeIrKMWPGpLrfrFmzkpT6IHIlSpRwQV6ogwcPuq8B2YXes0OGDHH9Rpqumd4YZCcEGgCQgbp37+5uyFwK2kJ7MbzsEgEdsgtNx6zpbfXe1UxqxYoVy+pDAtKFHg0AQI7TunVrW7p0qbsaHJhd0tXgVq1aZemxAWkRHx/vyqUUME+cONE1gQPZDRkNAIgh27Zts1WrVvmvZmp1cA2Q5aKLLsrio8s+Lr/8cnv11VftzjvvtIEDB7oF+5588knr2bMna2hEid6fn3/+uf99q2lXvffqWWed5RaZQ+S05stnn33mMho6t99//33QNLcFChTg9CLmsWAfAMSQuXPn2ujRo8N+bfny5Zl+PNnZhg0b3KrgK1eudNOBdu3a1QYPHkzTfZRs3brVunXrFvZrU6ZMcY3LiJwW7FQAF86cOXOsUqVKnF7EPAINAAAAAFFHjwYAAACAqCPQAAAAABB1BBoAAAAAoo5AAwAAAEDUEWgAAAAAiDoCDQAAAABRR6ABAAAAIOoINAAA2UL//v0tLi7OYsEPP/xg+fLls/fff9+/7ZNPPnHH98ILL2TpsSHr6T2g94LeE5HgvRTet99+a3ny5LFPP/30L70+yDwEGgCQhX755Re74YYbrH79+lakSBErXbq0NWjQwPr162cff/xx0L41atSwxo0bpzoQ37VrV9iv//TTT+7run322WfJ3o+3j3crVKiQ1a1b1+644w7bs2fPX3i2OYfOxfnnn28dOnSw3GDjxo02atQoN9BD7rBv3z73mkcaLGXEe+3MM8+07t2725133mk+ny9TjwuRyRfh9wEA/qLly5dbu3btLH/+/Na3b19r1KiRHT161NauXWsLFy604sWL29/+9reonefnn3/e3WfhwoVt2rRpdsEFFyS7r/6g64+5KLh49913bfz48e4K/tdff20FChSw3OrLL7905+Gtt94K2t62bVv3+un1zGk0+Bs9erQLdvXeQO4INPSaS/v27WPmvXbbbbe535v6ndS1a9dMOy5EhkADALKI/pgeOXLEXblr1qxZkq9v3749ao918uRJe+mll6xXr15WsmRJmzp1qk2YMMEFHuFUrlzZrrnmGv/nQ4YMsUsvvdTmzZtnb7/9truf3Gry5Ml22mmn2cUXXxy0XSUdyv4AyDi6QKIgZMqUKQQa2QClUwCQRZS5KFu2bNggQypUqBC1x5o7d679/vvvriRLJVaHDx+2V199NV330alTJ/f/unXrkt3n6aefduVWc+bMSfK1xMREq1KlStBVSmVurrrqKqtVq5bLtJQqVco6duyY5hpsXWnVoCPcVVEdh0owAqncQsd41llnuVK1YsWKuaxRaJlacuLj410m46KLLkqSuQhXVx+4TQFKvXr1XDDSpEkTF7TJ999/b507d7YSJUq494OCOgWG4Z6nSu0uu+wyFyxq/x49erhtoef5oYcechkWvYeUfapWrZrdfPPNtnv37rDP64033nCPofOv86Lj1HGcOHHCHbuXWRswYIC/pC4tV7n1Olx77bVWvnx5K1iwoNWuXdv+7//+zwXYgfQ66T7XrFnjvq73ifbXz4auXKenL+LDDz+0Bx54wKpXr+7eU+eee64tWbLE7aP3VZs2baxo0aJWsWJFe/DBB8Pel15jlcZpP71H9LEC7HCeffZZV/qo461Tp4795z//SbasZ//+/XbPPfe4/bR/uXLlrE+fPklew/RK63lOqc9J2/V1731bs2ZN/wUR7zX3ftYCf77+97//WdOmTd37Wu8zbdPPSSQ/p2l5r+lz/S5677337NChQ3/pvCHjkdEAgCyiwYAGVrNnz7aePXum6XsSEhKS7cE4fvx4imVTGjjoaqD+UDdv3tyVT11//fXpCoxEV/OT07t3b7v99tttxowZ1q1bt6CvaQC4ZcsWf0mWN7BQaZZKxzS41Nefe+45u/DCC93gP6XyrkhoMKaB0RVXXOEGMjpn//3vf12vhV6H0GMOpbIxDW7OOeecdD3uU089ZXv37nXnWwMyZZMUJLz++us2aNAgN9hU7bkCr4kTJ9rpp59uI0aMCLoPBYcacGng/PDDD7vXQ8GLBtErVqzwB6YKDh599FG7/PLLXVCiwfKyZcvce+Dzzz9PUvp233332b///W9r2LChe+00AF+/fr0LPjRgV8CiQav2UT+R95poUJuSX3/91Z0nDa4HDx7s+nw0gNWxL1682L0f1FAfSIGwArhhw4a556FBu87Lzz//HHagGs69997rfk6GDh3q7uPxxx93wavek9ddd517DldffbW99tpr9q9//cv9XARm73ROb7nlFhc86Ove+1TH8cwzz7jv9+j4dM4UEOn8aGD/2GOPudcvlM5D69atbdOmTTZw4EBXKrlt2zb3eHpNVUqp4Ci9IjnPqVGfmEol9dz0PvV+PynoCqQLCgqSdL70/tPnCkx0TNOnT0/3c0nre+28885zr4XezwrSEcN8AIAs8cUXX/jy58+vS5++unXr+gYMGOCbPHmy78cffwy7f/Xq1d2+qd127twZ9H1btmzx5c2b1zdy5Ej/tv/85z9u33CPpe0dO3Z096Pbzz//7HviiSfcsZYsWdK3Y8eOFJ/XFVdc4StYsKBvz549QduvueYaX758+YK+/9ChQ0m+f/v27b6yZcv6unTpErS9X79+7tgCtWvXzp2XUBs2bHD7Bj7n2bNnu23PPPNM0L4nT570nXXWWb4aNWr4EhMTU3xu06ZNc/fx9ttvJ/naxx9/7L42ffr0JNsqVark27dvn3/7ypUr3fa4uDjfG2+8EXQ/LVq08FWoUCHJ89T+Q4cODdruPacbb7zRv03P4ciRI0mO77nnnnP7vvrqq/5tX331ldv2t7/9zXf06NGg/XU/3vkI99xS849//MN9zzvvvBO0fdiwYW67jsej10nbunbtGvQaLF261G2/9957U308HZv2bd68ue/48eP+7XqttF3vvWXLlvm3ax+d51atWvm36T1btGhRX+3atX379+/3b9fHtWrV8hUrVsy3d+9et03/FylSxNegQQPf4cOH/ftu3rzZ3YceU+fNM2TIEF+hQoV83377bdBxb9y40Ve8eHH3/vak53yn5zyH+xnyaHvgMYT7GQr9Wp48eXxff/21f7teu+7du7uvffnllxH9nKbluX/22Wdun8ceeyzZfRAbKJ0CgCyiq3K6uqyruLoaqSuAuiKpK8u6sheunEJXddWIHO6mq7bh6GqsymmUNfDoiq6uHCurEY6urKusQ7czzjjDzbKk49L2cFdrA+n5KFMQWJqlLMCbb77prj4Gfr+utgfuo9KevHnzuiu8X331lUXTyy+/7HpSdGVaWSHvpqZX9Z+ojMPL2iRn586d7v8yZcqk67FVkqJyJ49KTVT6VKlSpSTZLJX2qD8nXFmIrtYH0tVmlTkFNqYrY6WSIdGVfT0/Pc+///3vblvgeVU2R3T1O7S/xCtbiYTeb7q6rcxZaC/L8OHDXT+L3g+hlIUIfMyzzz7bXUVP7XUJpBKxwIyNd1Vc76mWLVv6t2sfZQIC71s/R8ocqWxMr49HH2ubXpMPPvjAbdPPgjIYupqvcjOPMnP6+QqkcbzOtX6u1f8U+P7Tz0CrVq3c/WXWeY4WZQJbtGjh/1yv3d133+0+zsjHVYmhqBwUsY3SKQDIQqrV92r6VW6gGnKVDmn6WZW9hJa5aFCi/oDkBtKhNMBRMKGBrQYlgf0VqjtXg7gGmaGlFRqUjRkzxn2smm+VdKj+Oi28YEKlKjfddJPbpjIcDeACgx1RiY5KdxYsWOAGxIGivWaGpvc9ePBgiiU/O3bscIFVcrxjSu/UmupBCaWpjKtWrRp2uyjoCixVUf9EuL4dlbko0ND59QI3lQWpZEglVaH9Hirh8miQreeUXJ9QpBSQaVCu8qBQCtJUnhUukA53njSoTK63JJzQ+/DOp9dzEPq1wPvesGGD+z/ccXvbvOP2/leJVSgF5aHnQ4/jBfDhKCjIrPMcLXrvJffcM/JxvZ+/WFlXB8kj0ACAGKHBvAbi6iPQVVjVVy9dutRd4Y6UAhcN5kW12+GoKVlX+QOpDyO5gCY1Clr+8Y9/uPp1BTZqfFXQoUFdYA+EBki6wqsBsqasVNCljIMGXAp+Pvroo1QfK7mBRmgzqjc40SDvlVdeSfb+UlqnRLxBYnrXE1GWJj3bJdJ1AtRrogZ7Xa1/8sknXTCjbIWyGwoCFXBGK3MRbcmdj/Sci0jOdUbzjl8/U2oGzyrp+XmJ5cf1fv6SC9oQOwg0ACDG6I+yMgoKNNQc/Vcom6GMhAb64a6Y3njjja5JODTQ+KtUPqVAQ4+rZmc1p6q5U8fiUZPq1q1b3TGqMTtQaCN0cnTVVlmfUOGupirQUlOxylRCm1rTygtE0lPKEy3K+KikKjSroUyNMkheNkNZKgUWaqYPLOlZvXp1kvtU9mb+/Pm2cuXKFBvc0xuIaACooHHVqlVJvqaMipqgY3E9Di8bouPWhASBfvzxx6B9vP91XpPbN/B8KCN14MCBiAP4aJxnr+RPA/XA8r9wPy9pec313gsVep7S+3Oalsf1MrOpXRhA1qNHAwCyiOrBw13R06JvXr12aAlGeqjvY9asWa5348orr3QzLYXelGHQQFMDkmjS4EblWirn0sBXV9EVfIS7whx6tVrPPa39GRooqxxKmR+PHksz5oRStkhfU+16cmVTqVEtvOr1velSM9vYsWODPlcdvGYuCwwUdV41WAvMXOgce6VwgZR5Es30oxmaQnmvjReYpTWTo6BWfS8q3dI0pKHPQcem/pJYo54DBWya+UvvK48+1jadB281eP2vXhjNKBY4jexvv/2WJGum86G+Db1P9TMZTiT9Buk9z15ZoNdn4lGZXai0vOb6HfbNN98EvV8eeeQR93HgezI9P6dpeVz9/ClzqvJPxDYyGgCQRTR1pOq2NdhX2ZCuPm/evNkNUnTlXQNjbY+UpnFV0KJpTpOjr6lH5MUXX0zSaPxXKbDQVLbjxo1zAw1lEgKpJExX57WPGrHVRKvFCxWY6HlrfYnUKEuiQZIGU2okVj+LBnLhAjhvSttJkya5wdEll1ziSsQ0MNRq37pKmlpduQbxat5WT4Qa3gMzNBlNx6qyKGWBNM2tN72tek4C1wvR81RPjJq/9R5Sj4aON3RNBVEWQ6U8eo3U1KuSK70m6lXQedTAUFfiFfDqyrkeT+9TbVMWxWswD0dTlGogqgGnJjlQCd2iRYvcJAEqmQsNPGOBnpcGymrwVlbRW1dCPyN6f2hKVa+pX6WAWodDU/Fq2lqda51jLSSn7JkG/4G0tomylAr6ddPPg96v6s3SWiFa2yVwDZa0Ss951jTKCir1c6NMjDINClDCTZmt3hjd18yZM91U3HqfKQhTYONRb4/eAzpf6gfRWiMKYlT+qckuIvk5Te29pmBGx6wywEgzk8hEWT3tFQDkVgsWLPANHjzY17RpUzedq6agLVOmjK99+/a+559/3peQkBC0v6aHbNSoUbL3501d6U1v27JlSzelZ+g0s4GOHTvmptY844wz/Nu8aUb/Kk1Tq8fX/Y0ZMybsPprmtVOnTr5SpUq5qUM1DeaiRYvCTsOZ3NScmtazWbNmvgIFCvgqVqzou/vuu32rV69OdmrOGTNm+Nq0aeOet6bh1Xnt0aOHb+bMmWl6Xt6UsLNmzUrz9LbhpurU4+r5hvKmetXUn6HTg65fv97XrVs3d+w6X/p47dq1Se5j6tSpbtpVPT9N4Tpo0CDf7t27k0xh6nnllVd8rVu3dvepKVvr1avnptINnCZW51lTx+o+dT/hjj3UL7/84qY1LleunJseuWbNmr7hw4cHTQeb3HNO7TwlN71t4JSynuSed3LvKU0bfN5557lzoZs+fvPNN8M+7pQpU9zPj95/mhZ3/Pjx/mmQQ49Fz/uBBx7wNW7c2E11q/Ndv3593/XXX+9bsmSJf7/0Tiec1vMsehy91nod9XtH7w1N1RvuHOm9rn11DvR1b4rawGlp9d5p0qSJe/5VqlTx3X///b4TJ078pZ/TlN5rn3zyids2b968NJ0bZK04/ZOZgQ0AANmdrqaqiV2zg2UGZTCU9dENyGp6H2oWr5EjRwZl0zKDsiLK/GoRyliZxADJo0cDAIB0UhmIyq0iWfsAQGRUjqbyLP38EWRkD/RoAACQTlq3IKOnBAWQdDKG0OmZEdvIaAAAAACIOno0AAAAAEQdGQ0AAAAAUUegAQAAACDqCDQAAAAARB2BBgAAAICoI9AAAAAAEHUEGgAAAACijkADAAAAQNQRaAAAAACIOgINAAAAABZt/w8NquMb55WT7QAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 800x950 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "shap.summary_plot(df_shap.loc[y_pred==0].values, df_test.loc[y_pred==0, features_best], show=False)\n",
    "plt.title(\"Shap Values - Test 0\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 226,
   "id": "e773fbfc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x950 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "shap.summary_plot(df_shap.loc[y_pred==1].values, df_test.loc[y_pred==1, features_best], show=False)\n",
    "plt.title(\"Shap Values - Test 1\")\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "cat",
   "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": "3.11.14"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}