Presentation.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Գրադարանների ներմուծում և նախապատրաստում dataset-ը օգտագործման"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:From c:\\Users\\Davit\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\keras\\src\\losses.py:2976: The name tf.losses.sparse_softmax_cross_entropy is deprecated. Please use tf.compat.v1.losses.sparse_softmax_cross_entropy instead.\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Davit\\AppData\\Local\\Temp\\ipykernel_1208\\3348745393.py:11: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_numeric without passing `errors` and catch exceptions explicitly instead\n",
      "  data = data.apply(pd.to_numeric, errors='ignore')\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from keras.models import Sequential\n",
    "from keras.layers import Dense\n",
    "\n",
    "data = pd.read_csv(\"realest.csv\")\n",
    "\n",
    "data.replace(\"NA\", np.nan, inplace=True)\n",
    "\n",
    "data = data.apply(pd.to_numeric, errors='ignore')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Բացակայող տվյալները և Հիստոգրամ կազմող ֆունկցիա"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "def visualize_data_before(data):\n",
    "    fig, axes = plt.subplots(nrows=3, ncols=3, figsize=(15, 10))\n",
    "    axes = axes.flatten()\n",
    "    for i, col in enumerate(data.columns):\n",
    "        ax = axes[i]\n",
    "        ax.hist(data[col].dropna(), bins=20, color='skyblue', edgecolor='black')\n",
    "        ax.set_title(col)\n",
    "        ax.set_xlabel('Value')\n",
    "        ax.set_ylabel('Frequency')\n",
    "        ax.grid(True)\n",
    "        \n",
    "        missing_count = data[col].isnull().sum()\n",
    "        if missing_count > 0:\n",
    "            ax.annotate(f'Missing: {missing_count}', xy=(0.7, 0.9), xycoords='axes fraction', fontsize=10, color='red')\n",
    "    \n",
    "    for i in range(len(data.columns), len(axes)):\n",
    "        fig.delaxes(axes[i])\n",
    "    \n",
    "    plt.tight_layout()\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Ներկա գտնվող տվյալնների վերլուծության և վերականգնում Նեյրոնային ցանցի հիմքի վրաի ֆունկցիայի ստեղծում "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "def fill_missing_values_and_analyze(df):\n",
    "    filled_df = df.copy()\n",
    "    \n",
    "    for column in filled_df.columns:\n",
    "        if filled_df[column].isnull().any():\n",
    "            train_data = filled_df.dropna(subset=[column])\n",
    "            X_train = train_data.drop(column, axis=1)\n",
    "            y_train = train_data[column]\n",
    "            \n",
    "            model = Sequential()\n",
    "            model.add(Dense(10, input_dim=X_train.shape[1], activation='relu'))\n",
    "            model.add(Dense(5, activation='relu'))\n",
    "            model.add(Dense(1))\n",
    "            model.compile(loss='mean_squared_error', optimizer='adam')\n",
    "            \n",
    "            model.fit(X_train, y_train, epochs=100, batch_size=10, verbose=0)\n",
    "            \n",
    "            for index, row in filled_df[filled_df[column].isnull()].iterrows():\n",
    "                X_pred = row.drop(column).values.reshape(1, -1)\n",
    "                filled_df.at[index, column] = model.predict(X_pred)\n",
    "    \n",
    "\n",
    "    \n",
    "    return filled_df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Տվյալների ցուցադրումը մինչև տվյալների վերկանգնումը և վերականգնումից հետո"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "<Figure size 1500x1000 with 9 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:From c:\\Users\\Davit\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\keras\\src\\backend.py:873: The name tf.get_default_graph is deprecated. Please use tf.compat.v1.get_default_graph instead.\n",
      "\n",
      "WARNING:tensorflow:From c:\\Users\\Davit\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\keras\\src\\optimizers\\__init__.py:309: The name tf.train.Optimizer is deprecated. Please use tf.compat.v1.train.Optimizer instead.\n",
      "\n",
      "WARNING:tensorflow:From c:\\Users\\Davit\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\keras\\src\\utils\\tf_utils.py:492: The name tf.ragged.RaggedTensorValue is deprecated. Please use tf.compat.v1.ragged.RaggedTensorValue instead.\n",
      "\n",
      "1/1 [==============================] - 0s 108ms/step\n",
      "1/1 [==============================] - 0s 75ms/step\n",
      "1/1 [==============================] - 0s 71ms/step\n",
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      "1/1 [==============================] - 0s 28ms/step\n",
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      "1/1 [==============================] - 0s 29ms/step\n",
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      "1/1 [==============================] - 0s 29ms/step\n",
      "1/1 [==============================] - 0s 28ms/step\n",
      "1/1 [==============================] - 0s 27ms/step\n",
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      "1/1 [==============================] - 0s 31ms/step\n",
      "1/1 [==============================] - 0s 28ms/step\n",
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      "1/1 [==============================] - 0s 41ms/step\n",
      "1/1 [==============================] - 0s 33ms/step\n",
      "1/1 [==============================] - 0s 28ms/step\n",
      "1/1 [==============================] - 0s 29ms/step\n",
      "1/1 [==============================] - 0s 30ms/step\n",
      "1/1 [==============================] - 0s 27ms/step\n",
      "1/1 [==============================] - 0s 30ms/step\n",
      "1/1 [==============================] - 0s 35ms/step\n",
      "1/1 [==============================] - 0s 32ms/step\n",
      "1/1 [==============================] - 0s 81ms/step\n",
      "1/1 [==============================] - 0s 96ms/step\n",
      "1/1 [==============================] - 0s 93ms/step\n",
      "\t\t\tHead\n",
      "\n",
      "\n",
      "   Price  Bedroom   Space  Room   Lot     Tax  Bathroom  Garage  Condition\n",
      "0   53.0      2.0   967.0   5.0  39.0   652.0       1.5     0.0        0.0\n",
      "1   55.0      2.0   815.0   5.0  33.0  1000.0       1.0     2.0        1.0\n",
      "2   56.0      3.0   900.0   5.0  35.0   897.0       1.5     1.0        0.0\n",
      "3   58.0      3.0  1007.0   6.0  24.0   964.0       1.5     2.0        0.0\n",
      "4   64.0      3.0  1100.0   7.0  50.0  1099.0       1.5     1.5        0.0\n",
      "\n",
      "\n",
      "\t\t\tDescription\n",
      "\n",
      "\n",
      "            Price     Bedroom        Space        Room         Lot  \\\n",
      "count  157.000000  157.000000   157.000000  157.000000  157.000000   \n",
      "mean    56.123385    3.154921  1020.545541    6.468215   30.608797   \n",
      "std     13.566524    1.351746   526.728345    1.716704   11.450286   \n",
      "min      1.371422    1.000000     2.513629    1.509810    1.416470   \n",
      "25%     46.000000    2.000000   744.000000    5.000000   25.000000   \n",
      "50%     55.000000    3.000000   943.000000    6.000000   30.000000   \n",
      "75%     65.000000    4.000000  1178.000000    7.000000   35.000000   \n",
      "max     90.000000    8.000000  2295.000000   12.000000   50.000000   \n",
      "\n",
      "               Tax    Bathroom      Garage   Condition  \n",
      "count   157.000000  157.000000  157.000000  157.000000  \n",
      "mean    899.187191    1.470294    0.842333    0.234082  \n",
      "std     438.030349    0.543788    0.807280    0.423364  \n",
      "min       0.938969   -0.163909    0.000000    0.000000  \n",
      "25%     650.000000    1.000000    0.000000    0.000000  \n",
      "50%     817.000000    1.500000    1.000000    0.000000  \n",
      "75%    1014.240906    2.000000    1.500000    0.000000  \n",
      "max    2752.000000    3.000000    2.000000    1.000000  \n",
      "\n",
      "\n",
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 157 entries, 0 to 156\n",
      "Data columns (total 9 columns):\n",
      " #   Column     Non-Null Count  Dtype  \n",
      "---  ------     --------------  -----  \n",
      " 0   Price      157 non-null    float64\n",
      " 1   Bedroom    157 non-null    float64\n",
      " 2   Space      157 non-null    float64\n",
      " 3   Room       157 non-null    float64\n",
      " 4   Lot        157 non-null    float64\n",
      " 5   Tax        157 non-null    float64\n",
      " 6   Bathroom   157 non-null    float64\n",
      " 7   Garage     157 non-null    float64\n",
      " 8   Condition  157 non-null    float64\n",
      "dtypes: float64(9)\n",
      "memory usage: 11.2 KB\n",
      "\t\t\tinfo\n",
      "\n",
      "\n",
      "None\n",
      "\n",
      "\n"
     ]
    },
    {
     "data": {
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      "text/plain": [
       "<Figure size 1500x1000 with 9 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "visualize_data_before(data)\n",
    "\n",
    "\n",
    "filled_data = fill_missing_values_and_analyze(data)\n",
    "\n",
    "print(f\"\\t\\t\\tHead\\n\\n\\n{filled_data.head()}\\n\\n\")\n",
    "print(f\"\\t\\t\\tDescription\\n\\n\\n{filled_data.describe()}\\n\\n\")\n",
    "print(f\"\\t\\t\\tinfo\\n\\n\\n{filled_data.info()}\\n\\n\")\n",
    "\n",
    "\n",
    "visualize_data_before(filled_data)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Գծում ենք Կորելացիան տվյալների միջև"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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FPHU+DR1dU65y8+ZNHB0d9ekFEbUpSNK5KUQPwna2igZbxayYa2MabO0dH5/p/xlHG9P6UChuGjvb4q6Cycmyty/uKpgUO7PM4q6CSbGw0BV3FUyOopXOzd9Z2ch3rzElecqAnYVZkf+2VFQtaMHR0dGgc1NQvL29iYqKMkiLiorC0dHxiaM2IKulCSGEEEIIIYpZnTp12LZtm0Ha1q1bqVOnzlMdRzo3QgghhBBCiAKVkpLC8ePHOX78OJC71PPx48e5ceMGAIMHD6Zz5876/O+//z5XrlxhwIABnD9/nhkzZvDjjz/yySefPNV5ZViaEEIIIYQQJYhirqAp4mF1ivp05zt8+DCNGjXSv+7bty8AXbp0YeHChdy9e1ff0QEIDAxk48aNfPLJJ0yePJnSpUszd+5cmjdv/lTnlc6NEEIIIYQQokA1bNiQf3qc5sKFC42WOXbs2H86r3RuhBBCCCGEKEEUCw1KEa/Eq/xDR8WUyJwbIYQQQgghxDNBOjdCCCGEEEKIZ4IMSxNCCCGEEKIE0ZgpaDRFu6CARlcyngskkRshhBBCCCHEM0EiN0IIIYQQQpQgioWCUsSRG0UiN0IIIYQQQghRdCRyI4QQQgghRAmiMZc5N/mRyI0QQgghhBDimSCdGyGEEEIIIcQzQYalCSGEEEIIUYLIggL5k8iNEEIIIYQQ4pkgkRshhBBCCCFKEI2ZgsasiBcU0ErkRgghhBBCCCGKjHRuhBBCCCGEEM8EGZYmhBBCCCFECaKYKShFPCxNQYalCSGEEEIIIUSRkciNEEIIIYQQJUixLCggkRshhBBCCCGEKDoSuRFCCCGEEKIEUTTF8BBPVSI3QgghhBBCCFFkpHMjhBBCCCGEeCb8vxqWFhAQQJ8+fejTp09xV+U/Oa2msVqXwGUyiEfLZxpf6ij2/1jmlJrGXF0MN8jCA3M6KK401TgZ5NmoS2S1Gk8CWgKx4j2NB6GKTWE2pcCsXT6LHxdOIj42iuDQCD4aPIGwiEijeXf/tpZlc8dz++YVtNnZlPIP5rXOvWn28uv6PKqqsnDGaDatWkDK/SQqVqlD7yGTKe0fUlRN+s9m7zrK5N8OEpWcSkQpT8Z3aEqNAB+jeVtO+oE/Lt7Mk/5ChSBWfdiebK2WURt28+uZK1yLTcLRxpJG5QIY2fp5fJwdCrspBeK7NVuYtHwDUfFJRAT7MaF3N2qEG///XPLLTt4fN8sgzcrSgvitS/SvU9IyGDZ7GRv+OEx80n0CfDz5oF0LurduVqjtKEiLvl/G7HnziYmJJTysHCOHfk6VypUeW279z5v4qG9/XmjSmDkzp+nT+w38jJ/WrDXI26D+cyyeN7ugq14o5i1fzbRFPxAdG0+F0GDGDepDtYjyRvP+sG4THw0ba5BmZWnJ7UPb9K9VVWXcjHksWb2B5Psp1KwSwfjP+xHsX6ZQ21GQ5qzcwJTvVxEVl0DFsoGM7/8B1SuUM5p36c9b+XDUtwZpVpYWRP+xzmj+PmOnsmDNL4z95F0+/F+bgq56oZj900amLF1DVHwCFUMCGd/3XWpUCDWad+nGbXwwZrJBmpWlBTG7Vulfvz96Ess2bTfI06RWVdZMGlnwlS8kh7fP4sDmiaQkReFVphIvvD4R3yDj378A5w6tYtfakSTFXsfVK4RG7b8gpFIL/f6sjBR2rBrChWMbSE+Jw8k9gMimPanWsEdRNKfEUMw0KGZFG6NQUIv0fP9Wie3cdO3alUWLFgFgYWGBn58fnTt35rPPPsPc3HizDh06hJ2dXVFWs1BkoBKoWNFMceRL3d3H5r+nZjNSd5uWijP9FW9OqGlMVaNwVc2ppuRej926+8xVY+ipeBKqWLNeTWSY7jazNAE4K6b9Z7Jj80/MGj+IPkOnEBYRyervpzHw/dYsXH8cFzfPPPkdnFx5o8cAygSWw8LCkn27fuHrYe/h7OpBZL3cH6bLF0xkzbKZDBwzG+9SASycNopB77/C/LVHsbSyLuomPrVVR84xePUOJnV6gcgAH6bvOEzbaT9ydHh3PBzyvgeW9mhDdo5W/zo+NYM6YxfQtmruj5i0rBxO3IxiYIu6VCztQWJaJgNXbqPjd6v5fWCXImvXv/XT9r0Mmr6EyX27E1k+hOkrN9G6/1iOfT8RTxcno2Uc7Ww4tuThDzXlkaHGg6YvZtexM8z7vCf+3h5sO3SSPpPm4+PuQqt6NQqzOQViw8ZfGDP2K74YNZwqlSsxf+ES3nrnXXZs2Yi7m1u+5W7eus0XX42nZo3qRvc3qP8c34z7Qv/aytKywOteGNZs3sbQb6bxzZB+VI8oz6ylK3ntg37sX7cMDzcXo2Uc7O3Yv26p/rXyyB/J1AXLmPPDKqaN/gz/Uj6MnT6PDh/0Y8+aJVhbWRVqewrCqq27+GzSHL4d1IsaFcKYsXwtbT8eypGVs/FwdTZaxtHOlsMrH3ZmH70mD2zYsZfDp//ExyP/vzVTs+q33Xw2ZR6TBnxIjQqhzFixnlc/Gc6R5TP/8XocWTFT/9rY5Whauxozh/TWv7a0sCjoqheaswdXsm3FAFq8NRXfoJoc2jqV5d++zHtfnMTOMe/3761L+1g7uzON2o0mpNKLnDmwnJ+mvcbbw/bjWboCAL+tGMD18zt5pft8nNz9uXrmNzZ/3xt7Zx9Cq7xU1E0UJVCJHpbWokUL7t69y8WLF+nXrx8jRoxg/PjxefJlZWUB4OHhga2tbVFXs8DVUOx4S+NOHeXJ7phvVhPxwoJ3NB6UUax4SeNCPcWBdboEfZ61agLNFUeaapzwU6z4UPHECoWtanJhNaPA/LR4Ci+260aLNp0JCA6nz9CpWNnYsHntYqP5q0Q+z3NNWuMfFIZvmSDavdmToLIVOX1sL5B7t3X199N4s8dA6jV6meDQCAZ+MZfYmLv8sX1DUTbtX5u27TBd61birToRhPm4M7lTc2wsLVi875TR/K52Nng52eu37eevYWtpQdtquZ0bJxsr1n/UkVerhxHq5UbNQF++6diUYzeiuBlv+n8jU3/cSLeXGtP5xYaEB5RmSr/u2FhbsnjTznzLKIqCt5uzfvN65MfL/jMXeKP58zxftQL+Pp68/UpTIoL9OXzucuE2poDMXbCQTh1eo0O7VwkNCeHLUcOxsbbmx59W51tGq9XSu/8APvm4F35ljEcfrCwt8fTw0G9OTsY7j6Zm5pIVvPXqy7zephXlggOZMKQ/NtbWLFu7Md8yiqLg5e6m3zzdXPX7VFVl1tIf6dujMy82qk+F0BBmjPmcezFxbNq+uyia9J9NX7aGLm1a8ObLLxAW5MekQb2wtbZiyYZf8y2Te01c9ZunkY7hnehYBkyYyZxRn2JhblaYTShQ035YR5dXXuDNl5oSFujHpAEfYmNlxZKff8u3jKIoeLm56DdP17zXw8rSwiCPi+M/j8QwJQd/nUKV59+m8nNd8PANp+Vb0zC3tOXEH4uM5j/023SCK75A7RZ9cfcNo0HbEXj7V+XI9ocdwFuX9hNR9038wxrg7B5A1Qbd8SpTiTtXDhVVs0qEB0tBF/VWEpTozo2VlRXe3t74+/vzwQcf0LRpU9avX0/Xrl1p06YNX3zxBb6+vpQrl/sDLSAggEmTJunLJyYm8t577+Hl5YW1tTUVK1bk559/1u//448/qF+/PjY2NpQpU4aPP/6Y1NTUom7mf3ZezaCKYtipq4Yt58kAIFtVuUQGlZWHd/Q1ikIVxY4/1fQirevTys7O4sK5Y1Sr3UifptFoqFarMWdPHHhseVVVObp/B7euXSSi+nMA3L19jfjYKINj2js4ER4R+UTHLG5ZOVqO3bxHw7AAfZpGo9AwzJ+DV+480TEW7ztJu+ph2Fnlf9c9OT0TRcnt+JiyrOwcjl24SqPqEfo0jUZDo+oRHDxzId9yKekZhHXoRWj7D+nw2XjOXjUctle7Qigb9xzhTkw8qqqy6+gZLt28S5PIxw/rKm5ZWVmcOnOW5+rW1qdpNBqeq1uHo8eP51tu8rQZuLu60um1dvnm2X/wENVqP0ej5i/y+fCRJCQkFmDNC0dWdjYnzl2gQe2H0SiNRkOD2jU4dPJMvuVS09Kp0qI9lV5ox5u9B3P+0lX9vuu37xIdG0+DWg+jeI4O9lSLCOfwPxzTVGRlZ3P8/CUaRlbRp2k0GhpGVuHQqfP5lktJT6fiK10o/1Jn/td/FOcuXzfYr9PpeHf4N3z8ZjvCg/0Lq/oFLis7m+N/XqJRnutRmYOn//l6VGj7DuGt36bTgDGcu3IjT54/jp4m6MW3qNbxAz75egZxSaZ/wwhAm5PF3etHCQhvrE9TNBoCyzfi9mXj35W3L+8noHxjg7SgCk0N8pcOqc3F4xu5n3AbVVW5dn4n8fcuElShaeE0RDxzTHu80VOysbEhLi4OgG3btuHo6MjWrVuN5tXpdLRs2ZL79+/z/fffExwczNmzZzEzy72LdPnyZVq0aMGYMWOYP38+MTEx9OrVi169erFgwQKjx8zMzCQzM1P/OjnZND6gEsjBGcOhSM6KGWmqjkxVRwo6dIALhnfQnDHjFllFWNOnl5QQi06rxcXNyyDdxc2Tm1f/zLdcyv0kOjYNITs7E43GjN6fT6JGnSYAJMRG6Y/x6DET4qIKuAUFLy4lDa1OxdPBsEPr6WDHxXvxjy1/+Npdzt6JZfobLfPNk5Gdw7C1u3itejiOJt65iUtKRqvV5Rl+5unixIUbt42WCS3jy8wB71Mx2I/k1DQmL/+ZJj2HcXjhN5TyzB1GM6F3N3p9M4ey7T/E3MwMjUZhWv93ea5yeKG36b9KSEhEq9Xi7u5ukO7u7sblK1eMljl0+AgrflrNL+vyj+w0qP8cLV5oSpnSpbl+4wZfT5xEl+7vsebHZfrPVlMUl5CEVqvF42+RFwAPNxcuXr1utExIgB9TRg6ifNlgklNSmL5oOS27fMCe1Yvx9fIkOjZOf4y/83RzJSr28e/D4haX+Nf75pFIg4erMxeu552fB1DWrzTTh3xChbIBJKekMfX7VbzQvR/7l8+ilFfu39q3i1dibm7G+x1bF3obCtKD6/Ho8DNPV2cuXDf+ORLiV4rpn31MxZDc6zFl2RqavTuAA8umUcoz93o0rV2NVxrWwd/Hi6u37zFy1hLafTKSbXO+Nun3DEDa/VhUnTbP8DM7Ry/i7hq/cZSSFGU0f0ryw+/WF17/ll8Wf8jU/sFozMxRFA0vdpmBX7n6Bd8I8Ux6Jjo3qqqybds2tmzZwkcffURMTAx2dnbMnTsXy3zGe//2228cPHiQc+fOERqaOxkwKChIv3/s2LG88cYb+sUHypYty5QpU2jQoAEzZ87E2jrvvIuxY8cycmTJmQT4/5mtnQOzV+4nPS2Fowd2MvObQfiUDqRK5PPFXbVit3jvSSr4euS7+EC2VkvneetQUfm20wtFXLuiUatiKLUqPpwkXLtiKNU692Peht8Y9k5HAGau3syhsxdZ+eWnlPF2Z8+Jc/T9a85N4xoR+R26REpJSaXPgEGMGzMSVyPDah545aUX9f8OKxdKeLly1G/anH0HDvJc3TpFUdUiE1m5IpGVK+pf16wcQd22b7Jo5XoG9+pejDUrPjUrhVOz0sPOfa1K4UR2eI8FazYx5P3OHDt3kVnL1/P7kin5zsV5ltSKCKNWRNjD15XCqNHpQ+av2czQ994EoH2zh985FUICqBASQOX277L76GkaRlYu8jqbgsPbZnD78kFe+2gVTm5+3LjwB1u+74O9sw+B5ZsUd/VMhqIUw3NudCXjfVuiOzc///wz9vb2ZGdno9PpeP311xkxYgQ9e/YkIiIi344NwPHjxyldurS+Y/OoEydOcPLkSZYufThZVFVVdDodV69eJTw8793ZwYMH07dvX/3r5ORkyuQzLr0ouWBOIjkGaYmqFls0WCkaNKqCBkhAa5gHbZ5ojqlxcnFHY2aWJ6KSEBeNq7tXPqVyhxOU8gsGICSsMjeunOeHed9QJfJ5XP4qlxAXjZvHwx/4CXHRBJcz/SFHbva2mGkUou+nGaRH30/F0/GfF9RIzcxi1ZFzfP7Sc0b353Zs1nMzPpmfP+5k8lEbADcnR8zMNEQnJBmkRyck5ZlHkx8Lc3MqhwRw+Vbu31l6ZhYj5ixn+Zh+tKhTDYCIYH9OXrrO5BU/m3znxsXFGTMzM2JjYw3SY2Pj8PBwz5P/+o0b3Lp1m3fe76lP0+l0AASFR7Bjy0b8/fzylPPzK4OriwvXb9ww6c6Nm4sTZmZmxMQZRlRi4hLwdH+yCe8WFuZEhJXlys1bAPpyMXEJeP/tmkbHxRNRrmwB1bzwuDn/9b6JTzBIj4lPxOuRCFd+LMzNqRQazJVbuQvf7Dt+hpiERCq88nAREq1Wx+eT5zJz+VpOrVtYYPUvaA+uR0x8okF6dHwiXm7OT3QMC3NzKocGceV2/gsBBZbyxs3ZkSu37pp858bWwR1FY0ZqcrRBempyFHZOxr9/7Z28jOa3d8zNn52Vzs7Vw2jf80dCKueOHvAsE0HUzRMc2DJJOjfiiZToOTeNGjXi+PHjXLx4kfT0dBYtWqRfDe1xq6LZ2PzzEscpKSm89957HD9+XL+dOHGCixcvEhwcbLSMlZUVjo6OBpspCFOsOaEa/tA9Rhph5EafLBSFEKw5+bc8OlXlhJpGORNfCtrCwpLQ8KocO7BTn6bT6Th2YAflK9d64uOoqo7srNwhhT6lAnB19+Lo346ZmpLMuVOHnuqYxcXS3IyqZbzZ9efD4TQ6ncquP69TM8j3H8uuOfonmTlaOkZWyLPvQcfmcnQC6z/qiJu9af9tPGBpYU7V0EB2HjmtT9PpdOw8epqa+Szh+iitVseZqzfx/utHTHZODtk52jx3n800Gv2PflNmaWlJRIXy7Nm3X5+m0+nYs28/1apUyZM/ODiIX39exy/rVuu3Zo0bUadWTX5Ztxofb2+j57l77x4JiYl4engUVlMKhKWFBZXDQ/n9wBF9mk6n4/cDR4islPe9YIxWq+XsxSt4/dWp8S/lg6e7q8Ex76ekcvTUOWo84TGLk6WFBVXCQth16IQ+TafTsevwcSL/Fo34J1qtlrOXr+H919C8Ti0bs3fZdP74fpp+8/Fw4+M327F6yphCaUdBsbSwoEq5EHYefvR6nKRmxSe/HmcuX8f7HzqHt6NjiU+6j7d7/hFSU2FmbomPfzWunduhT1N1Oq6d20mpYOPflaWCaxvkB7h6drs+v06bjU6bjaIx/HmqaMxQS8Bna1FSzIp+UQHFtO9365XoyI2dnR0hIf/uuSOVKlXi1q1bXLhwwWj0plq1apw9e/ZfH78wpas67v5tLkyUms0VMrDHDE/FgkW6GOLIoa8mN+rQQnHmZzWRBboYmipOnFTT+EO9z3BNKf0x2igufKveI0RnRahizTo1kQx0NFVMo4P2T9p3/pivhvQgtHw1wiJqsOr7aWSkp9G8zVsAjPusO+5evnTvPQqAZXPHE1qhGr5lgsjOyuTA7i1s/fkHen+e+zwCRVF49c1eLJ39FaX9gvEuFcCC6aNw9/DhucYvF1s7n0avJjV4b/Emqvp5Uz3AhxnbD5OWmc1btXMjCu8u2oiPsz0jWzcwKLd43yleqlw2T8clW6vlzTnrOHEzipUftEOn0xGVlAKAi50Nlia+4tFHHVrx7tiZVA0LokZYCNN/2kRaeiZvtcxtf/cvpuPr4cqod/8HwNiFq4isEEJwKW8SU9KY9MMGbtyLoetLuRNhHe1sqV8lnM9nLcXGyhI/bw92Hz/Lsi2/M67nW8XWzqfRvVtX+g0cTKWKFalcKYL5ixaTlp7Oa+3aAvDJp4Pw9vJkYP++WFtZUS7UMNrw4ObNg/TU1FQmTZtBy+Yv4OHuzvUbNxg7fgIB/n48X994JNCUfPBWR3oN/ZIqFcKoVjGcWd+vJC09nf+1yR1q9+HnY/DxdGdo7/cBGD9rATUqVSDQrzRJ9+8zbeEP3Lp7j7dezV2qVlEU3n+jAxPnLCLIv/RfS0HPxdvDjRcbl4y5Az1fb8sHIydSNbws1SuEMmP5OlLTM3nzpdwl898b/g0+nm6M6NkNgK/mLqNGxTCCyviQdD+VKd+v4ua9aDq3zn2GiauzI67Oht8pFuZmeLm5UNa/dNE27l/o9b/WvD96ElXDQnKXgl6+nrSMDN58KTea8O7Ib/H1cGXEh7mRqXHzlhNZsRxBpX1ISkll8tLV3LwXQ5dXcq9fSlo64+Yt55VGdfByc+HqrXsMm76QoNI+NKlVrdja+TRqvvAxG+Z1xyegGr6BkRz8bSrZmalUqtcZgPVz38bBxZdG7XI7r5FNe/L91804sGUSwZVacvbgj9y9doSWnacDYGXjiF+5+mz7cTDmFta5w9L+3M3pvUtp0vHrYmunKFlKdOfmv2jQoAHPP/887dq1Y+LEiYSEhHD+/HkURaFFixYMHDiQ2rVr06tXL7p3746dnR1nz55l69atTJs27fEnKESXyOAz3S3963lqDKjQWHHkE8WbeLTEqA+HoXkrFgzXlGKuLob1aiLumPOR4qV/xg1AfY0DSboclqpxJKhagrBipKYULib+jBuARi3ak5QQw8IZo0mIjSK4XCXGzVyL61+LDETfu2lwFygjPZUpX/QhJuo2VlY2lAkMZfCX82nUor0+T6dufclIT2XiqF6k3E8iompdxs5cVyKecQPQrno4sffT+eLnP4i6n0qlUp6s7vmafljazYTkPFGHC1Fx7Lt8i3W9OuQ53p3EFDadugRA3bELDfZt6t2J+qF5hySZkvaN6xKbmMyY+SuJik+kUog/a8cP0g9LuxUdi+ZvY5cTUlLoNX4OUfGJODvYUTU0iG3TRxEe8PAH2MJhvRk++wfeHjONhOQU/Lw9GN69U4l5iOfLrVoSFx/PxClTiYmJpXx4GIvnfYfHX4sM3Ll7F43myYP7ZmZmnP/zAqvWrCP5fjJenp7Ur1ePfn0+KhHPumnboglxCYmMmzGP6Nh4KpYL4ccZ3+iXd751L8rgbyTx/n0+GfU10bHxODs6UKl8KJsWzaRccKA+z0fdXic1PZ1+o8aTdD+FWlUjWDHjmxLxjBuAds0aEJeQzJezlxAVl0BEaBCrJ4/SL+98KyrG4G8kMTmF3l9OJiouAWcHB6qEh/Dr3AmEBZn258OTate0PrEJSXw5d1nu9SgbxKpvR+gXXci9Hn//G0nh43HT/roe9lQJC2Hr7K8IC8y9HmYaDacvX2PZL9tJup+Kj7srjWtVYci7b2BlWTKedVO+5muk3Y/l97WjSE2OwqtMZTp+sh77v4alJcffRFEe/o2UDqlD6x6L2LVmBDtXD8PFM4T2vVbqn3ED0Oa9JexcNZR1c7qRkRqPo5sfDdqOlId4PkIxU1CKeGlmRS0Zc24UVVVLxuNGH9G1a1cSExNZu3btE+8LCAigT58++kUC4uPj6d+/P+vXryc1NZWQkBDGjRtHq1atgNyHfn7++efs27cPVVUJDg6mY8eOfPbZZ09Ux+TkZJycnFihCca2pMTyCpntsePFXQWTU3P3iOKugknRVCwZdyyLUqyP6c/1Kkp26XHFXQWTYpF5v7irYHIUbc7jM/0/Mu7ss7n4y7+VmZ7MhF6eJCUlmcwUgif14Lfljro1sM/nofWFJSUnh0Z7D5v8dTP92/L5WLhw4VPvu3btmsFrV1dX5s+fn+9xIiMj+fXX/B9WJoQQQgghhDAdJbZzI4QQQgghxP9HikaTZ+GFojhnSVAyaimEEEIIIYQQjyGRGyGEEEIIIUoQRVMMD/Es4vP9WxK5EUIIIYQQQjwTpHMjhBBCCCGEeCbIsDQhhBBCCCFKEI2ZgqaIn3OjKSHPuZHIjRBCCCGEEOKZIJEbIYQQQgghShBZUCB/ErkRQgghhBBCPBMkciOEEEIIIUQJoijF8BBPpWTEREpGLYUQQgghhBDiMaRzI4QQQgghhHgmyLA0IYQQQgghShBZUCB/ErkRQgghhBBCPBMkciOEEEIIIUQJUiwP8dRJ5EYIIYQQQgghiox0boQQQgghhBDPBBmWJoQQQgghRAkiCwrkTyI3QgghhBBCiGeCRG6EEEIIIYQoQRSNBkVTtDGKoj7fv1UyaimEEEIIIYQQjyGdGyGEEEIIIcQzQYalCSGEEEIIUYLIggL5k8iNEEIIIYQQ4pkgkRshhBBCCCFKEInc5E8iN0IIIYQQQohngkRuhBBCCCGEKEEkcpM/6dwUAZs/9mBr71jc1TAJaVWrFHcVTI5m+6jiroJJiV/5U3FXweTc+ODF4q6CSVn+m29xV8GkjK23u7irYHKWJb9U3FUwKUd3nyruKpiUnKyU4q6CKEQyLE0IIYQQQgjxTJDIjRBCCCGEECVI7rC0oo1RlJRhaRK5EUIIIYQQQjwTJHIjhBBCCCFECaJoFDRmRbyggFYiN0IIIYQQQghRZKRzI4QQQgghhHgmyLA0IYQQQgghShB5zk3+JHIjhBBCCCGEeCZI5EYIIYQQQogSRNFoimEp6JIREykZtRRCCCGEEEKIx5DIjRBCCCGEECWIzLnJn0RuhBBCCCGEEM8E6dwIIYQQQgghngkyLE0IIYQQQogSRIal5U8iN0IIIYQQQohngkRuhBBCCCGEKEFkKej8lYxaCiGEEEIIIcRjSOdGCCGEEEII8UyQYWlCCCGEEEKUILKgQP4kciOEEEIIIYR4JkjkRgghhBBCiBJEFhTIX8mopRBCCCGEEEI8hkRuhBBCCCGEKEkUJXcr6nOWABK5EUIIIYQQQjwTpHMjhBBCCCGEeCbIsDQhhBBCCCFKEEUphqWgZViaEEIIIYQQQhQdidwIIYQQQghRgshS0Pkz6c5N165dSUxMZO3atcVdFZOzdvksflw4ifjYKIJDI/ho8ATCIiKN5t3921qWzR3P7ZtX0GZnU8o/mNc696bZy6/r86iqysIZo9m0agEp95OoWKUOvYdMprR/SFE16V87raaxWpfAZTKIR8tnGl/qKPb/WOaUmsZcXQw3yMIDczoorjTVOBnk2ahLZLUaTwJaArHiPY0HoYpNYTalQH23ZguTlm8gKj6JiGA/JvTuRo1w4/+fS37ZyfvjZhmkWVlaEL91if51SloGw2YvY8Mfh4lPuk+AjycftGtB99bNCrUdBWXhyUt8d+wCMWkZhLs7Mer5qlT1cs03/9zjF1ly+jK376fhamPFi8GlGFQnAmtzMwAWn7rMktNXuJWcCkCoqyN9aobTyN+nSNpTEFYvm80PC6bkfo6Uq0ifz8ZTvlINo3l3bV3PkjkTuH3jCjk52ZT2C6Zj1160eOV/AORkZzNnymj27/6VO7euYWfvSI06DXn/k5G4e5aMa3Lqjzkc2zmFtPvRuPlW5Pm2X+PlVz3f/JdOrOXAL19wP+EGTu7B1HlpBAHhL+j3H9wylovHVpOSdBszMws8SlehVsuhePsbv8amaPZPG5ny/Wqi4hOoGBLI+H7vUaNCqNG8S3/+jQ/GTDZIs7K0IOb31frX74/6lmWbthvkaVK7GmsmjSz4yheCneun8+tP35Acf4/SQZXp+OEUAsNqGs1759oZNiwezvVLR4iPus5r702kyat9DPLotFp+/n4EB7YtJTnhHk5uvtRp1oUXXx9SYoYAqarKpeMzuHVhNdlZ93HxrEL5Op9j5+j/j+Wun1vO1dOLyEqPxcE1lPBag3D2iNDvT0u+yfnDE0iIOo5Ol4VHqXqE1xqElY1bYTdJlHAF0gXr2rVr7ti/vzY3NzdatGjByZMnC+Lw4hE7Nv/ErPGD6Pz+Z8xasZfgchEMfL81CXHRRvM7OLnyRo8BTF2ygzmrDtK8dWe+HvYeh/Zs1edZvmAia5bNpM/QKUxbugtrG1sGvf8KWZkZRdWsfy0DlUDFivc1nk+U/56azUjdbSoptkzR+PGK4sxUNYqjaqo+z27dfeaqMfxPcWOSxo9AxYphutskqjmF1YwC9dP2vQyavoTBXdqzZ85YIoL9ad1/LNEJSfmWcbSz4fLqWfrt3IqpBvsHTV/M1oMnmPd5T44unkDP9i3pO3kBG/ccLuzm/GfrL95k9B8n6RNZnk0dm1LezZm31u8mNs343/eaP28wbt8p+kSWZ8cbzRnfuDobLt7iq32n9Xl87G0YXKcimzo2YWOHJtQt7ck7G/fyZ1z+19iUbPtlFdO+/oyuHw5i7srdhJSLoN97r5IQF2M0v6OTC53f7c/Mpb+xcPVeXmz7BuOGfMiBP34DICMjjQvnTtDl/QHMW7mbLyZ/z42rFxnUq1NRNutfu3hsNX+s/5zIFwbS4ZNduPtWZMPsV0m7b/x63L16gF+/f4fwWm/Roe/vBFV8kV8WvEHc3bP6PM4eITz/6ng69d9L216bcXDxY8PsV0lPiS2qZv0nq7bu5rPJcxnU/X/sXjSJiLKBvNpnGDHxifmWcbSz5eLGxfrtzJp5efI0rV3NIM/8UZ8WYisKzuGdK/hpdj9eemMYn00/QumgSkz9vAXJica/e7My03D3CaTt22NxdPU2mmfLj1+x6+dZdOo5leFzztL2nXH8unI8O9ZNNZrfFF09vYDrZ3+gfJ0h1Gn1PWbmNhz+9QO0OZn5lrl7dTPnD31DSJX3qPvKchxcy3F46wdkpscBkJOdxqGt76OgULPFHGq/uAidNpuj2z5CVXVF1TRRQhVYfKlFixbcvXuXu3fvsm3bNszNzXnppZcK6vBGZWVlFerxTdVPi6fwYrtutGjTmYDgcPoMnYqVjQ2b1y42mr9K5PM816Q1/kFh+JYJot2bPQkqW5HTx/YCuXddVn8/jTd7DKReo5cJDo1g4BdziY25yx/bNxRl0/6VGoodb2ncqaM4PFH+zWoiXljwjsaDMooVL2lcqKc4sE6XoM+zVk2gueJIU40TfooVHyqeWKGwVU0urGYUqKk/bqTbS43p/GJDwgNKM6Vfd2ysLVm8aWe+ZRRFwdvNWb95uTob7N9/5gJvNH+e56tWwN/Hk7dfaUpEsD+Hz10u3MYUgDnHL/C/CoF0LB9AqKsjYxtVw9rcjBXnrhnNf+ReHDV83Ghbzo8yjnY08POmdWgZTkTH6/M0C/SlcYAPgc4OBLk4MLBORWwtzDkWFW/0mKZmxaJpvNy+C63avklgSBj9h0/C2tqGjauXGM1ftWZ9nm/6MgHB5SjlF8Rrb31IUGhFTh3dB4C9gxPfzl1H4xav4hdYlgqVa/LJ59/w55ljRN25WZRN+1eO/z6dCrW7EF7zTVy9w2jY7lvMLWw5d/B7o/lP7p6FX7mmVGv0Ma5e5ajVcggepSpzas8cfZ7Qaq9RJrQhTm4BuHmH81zrL8jKSCb2zpmiatZ/Mu2HtXRp3Zw3X2pKWKAfkwZ+iI21FUt+3ppvGUVR8HJz0W+ebi558lhZWhjkcXH850i7qfht9bfUa9Gdus274etfntc/noWFlS17t8w3mj+gXCTteownsmEnzC2sjOa5cnYfleu8QkStVrh7B1C9fnvKV3uBa38eKsymFBhVVbl+dinBlXvg5dcIB9dQIuqPITMthugb2/Mtd+3MEsqEvkrpsm2wdw6mQp0hmJlbc/viWgASo4+TnnKHiOdG4+BSFgeXskTUH01S7Fni7h4sotaZNkWjFMtWEhRY58bKygpvb2+8vb2pUqUKgwYN4ubNm8TE5N71unnzJh06dMDZ2RlXV1dat27NtWvX9OW1Wi19+/bF2dkZNzc3BgwYgKqqBudo2LAhvXr1ok+fPri7u9O8eXMAdu3aRc2aNbGyssLHx4dBgwaRk/PwDntmZiYff/wxnp6eWFtb89xzz3Ho0MMPjp07d6IoClu2bKFq1arY2NjQuHFjoqOj+eWXXwgPD8fR0ZHXX3+dtLS0grpk/0p2dhYXzh2jWu1G+jSNRkO1Wo05e+LAY8urqsrR/Tu4de0iEdWfA+Du7WvEx0YZHNPewYnwiMgnOmZJc17NoIpia5BWDVvOk3sXP1tVuUQGlRU7/X6NolBFseNPNb1I6/pvZGXncOzCVRpVfxje12g0NKoewcEzF/Itl5KeQViHXoS2/5AOn43n7FXDH6S1K4Sycc8R7sTEo6oqu46e4dLNuzSJrFRobSkIWVodp6ITea7Mw8ieRlGoX9qLI/fijJap7u3GqehEfUflelIKO67fo5G/8buvWp3Kugs3Sc/WUs3b9IdMZGdlceHscarXMfwcqVG7IWdOPP6Hg6qqHN6/k5vXLlK5Rr1886WmJKMoCvaOTvnmMQXanCxibh2ndNkG+jRFo6F0aAPuXTd+Pe5dP0SZ0AYGaWXKNebeNeP5tTlZnNm3CEtrR9x9KxZc5QtJVnY2x/+8RKPIyvo0jUZDw8gqHDz1Z77lUtLTqdDmbcJf6UanT8dw7sr1PHn+OHqaoJZvUq3D+3zy1Qzikkz/plFOdhY3Lh4hvFpTfZpGoyG8alOunN3/r48bVL4O549vJ+pW7mfzrcsnuHTmDypEtvjPdS4K6Sm3yUyPxc2nlj7NwtIBJ48IEmOMj97RabNJjjuHm09tfZqiaHDzqa0vo9NloaCgMbPU5zEzs0JRNCREHSuk1ohnRaHMuUlJSeH7778nJCQENzc3srOzad68OXXq1GH37t2Ym5szZswY/dA1S0tLJkyYwMKFC5k/fz7h4eFMmDCBNWvW0LhxY4NjL1q0iA8++IA9e/YAcPv2bV588UW6du3K4sWLOX/+PD169MDa2poRI0YAMGDAAFatWsWiRYvw9/fn66+/pnnz5ly6dAlX14dj7keMGMG0adOwtbWlQ4cOdOjQASsrK5YtW0ZKSgpt27Zl6tSpDBw4sDAu2xNJSohFp9Xi4uZlkO7i5snNq//whXM/iY5NQ8jOzkSjMaP355OoUacJAAmxUfpjPHrMhLioAm5B8UsgB2fsDNKcFTPSVB2Zqo4UdOgAF8wM82DGLUw/WhiXlIxWq8PTxfAHpaeLExdu3DZaJrSMLzMHvE/FYD+SU9OYvPxnmvQcxuGF31DKM/fH+oTe3ej1zRzKtv8QczMzNBqFaf3f5bnK4YXepv8iPj0TrariYWNtkO5ua8WlROM/qtqW8yMhI5N2q3agAjk6lTcrBvFRDcO2notNos2q7WTm6LCzMGfOi3UIdXUsrKYUmKTEOLRaLa5uHgbpLm6eXL/6Dx3g+0m82iiMrOxMzDRm9B06kci6jY3mzczMYObE4TR9sT129qZ9TTJS41B1WmwdDD8Dbe09SYi+aLRM2v0obOwfye/gSdp9wyFK185uZsuSd8jJTsPOwZtX3luLjb3pd4DjEnM/RzxcDSMvni7OXLh2y2iZEP/STP+8NxVDAkhOSWXK0jU06zGAAz9Mp5SnOwBN61TnlYZ18ff14urtu4ycuYR2n4xg25zxmJmZGT2uKUhJjkWn0+LobPjd6+Diyb2b5//1cZt3HERGWjIjuoejaMxQdVpadx1DrcZv/NcqF4nM9NwhlpaPzIOxsnHT73tUVmYCqqo1WiY16SoAzh6VMDO34c/Dkwit/hGqqnLhyGRUVUtmuvGhov/fyIIC+Suwzs3PP/+MvX1uaDk1NRUfHx9+/vlnNBoNy5YtQ6fTMXfuXP0EuQULFuDs7MzOnTt54YUXmDRpEoMHD+bVV18FYNasWWzZsiXPecqWLcvXX3+tf/35559TpkwZpk2bhqIohIWFcefOHQYOHMiwYcNIT09n5syZLFy4kJYtWwIwZ84ctm7dyrx58/j004djfceMGUO9erl3Id955x0GDx7M5cuXCQoKAqB9+/bs2LEj385NZmYmmZkPx5gmJ5vO3ShbOwdmr9xPeloKRw/sZOY3g/ApHUiVyOeLu2rCBNSqGEqtig8nCdeuGEq1zv2Yt+E3hr3TEYCZqzdz6OxFVn75KWW83dlz4hx9J83Hx92FxjUi8jt0ibTvVjTTjpzniwbVqOLlyrWkFEbsPs6kQ2fpE1leny/YxYHNHZtxPyubTZdu8clvh1j5asMS0cH5N2ztHJi/6g/S01I5cmAX077+DN/SAVStWd8gX052NsP7dkFVVfoN+7aYamsaSgXXp2O/3WSkxnF2/yK2LOlK+4+3Yevg8fjCJUytiDBqRYQ9fF0pnBqdPmT+ms0Mfe9NANo3e/idUyEkgAohgVRu14PdR0/T8G9Rov8vjvz+Iwe3L+PtQUvx9a/AzcvHWTnrE/3CAqbmzuWNnNk3Wv+6etNphXIeS2tXqjQcz5n9X3D93DIURYNPYAsc3cJRlJLxA1sUnwLr3DRq1IiZM2cCkJCQwIwZM2jZsiUHDx7kxIkTXLp0CQcHwzkRGRkZXL58maSkJO7evUutWg/Dmubm5tSoUSPP0LTq1Q1Xrjl37hx16tQxWFWkXr16pKSkcOvWLRITE8nOztZ3WgAsLCyoWbMm586dMzhWpUoPh9d4eXlha2ur79g8SDt4MP8hG2PHjmXkyMJd8cXJxR2NmVmeiEpCXDSu7l75lMoNn5fyCwYgJKwyN66c54d531Al8nlc/iqXEBeNm8fDVY0S4qIJLmfaQ47+DRfMScRwYYBEVYstGqwUDRpVQQMkoDXMgzZPNMcUuTk5YmamybN4QHRCUp55NPmxMDenckgAl2/l/p2lZ2YxYs5ylo/pR4s61QCICPbn5KXrTF7xs0l3blxtrDBTFGLSDRcPiE3LxMPW2miZ8QfO8Go5f/5XIRCAcHcn0nNyGLjjKB/XCEfz1+eNpZmGQOfcmzqVPF04EZ3A/BMXGdco/xW2TIGTsxtmZmbEP7J4QEJcNG6P+Rwp7Z/7OVI2vBLXrvzJkjkTDDo3OdnZDOvXhXt3bjJ5wQaTj9oAWNu5oWjM8kRd0lKi80RzHrB18CI95ZH89/Pmt7Cyw9kqCNyD8PaP5Pux1Th3cAnVm/Qt2EYUMDfn3M+RmPgEg/TohES8jMyjMcbC3JzKoUFcuXU33zyBpbxxc3bkyq07Jt25sXd0R6MxIznR8Lv3fkI0ji7Gh6s+idVzBtC840AiG+YuvFEqMIL46OtsXj7OJDs3nn4NcfrbimY6be5ohqz0OKxtH3bYM9PjcHQtZ/QYllYuKIoZWemGw4Iz0+OwsnHXv3YvVZcG7TaSlZGAophhYeXI9uWN8QksXZBNKrEUDUX/EM9/0a+cPn0648eP5969e1SuXJmpU6dSs6bxFQYBJk2axMyZM7lx4wbu7u60b9+esWPHYm1t/PvamALr/trZ2RESEkJISAiRkZHMnTuX1NRU5syZQ0pKCtWrV+f48eMG24ULF3j99dcff/BHzlNYLCws9P9WFMXg9YM0nS7/VToGDx5MUlKSfrt5s+An0VpYWBIaXpVjB3bq03Q6HccO7KB85Vr5F3yEqurIzsqNMvmUCsDV3Yujfztmakoy504deqpjlhRhijUnVMO5U8dII4zcN46FohCCNSf/lkenqpxQ0yhXApaCtrQwp2poIDuPPFzZS6fTsfPoaWrms4Tro7RaHWeu3sTbzRmA7JwcsnO0eZYmNdNo/vE9YQoszTREeDqz5+bDH6I6VeWPW9FUz2d+TEaOlke/Mx50aB6532JAp6pkak37egBYWFoSWr4KR/bv1KfpdDqOHNhFhcr5f+k8StXpyM5+OFTzQcfm1vXLfDtvPU7Opj/8CsDM3BKP0lW4dXGXPk3V6bh18Xe8/Y1fD2//SIP8ALcu7MQ74J+vn6rq/nEVKVNhaWFBlXIh7Dz0cN6ETqdj16ET1Iww/qP1UVqtljOXr+H9D52h29GxxCfdx9st/2XZTYG5hSV+Zatz/tg2fZpOp+P88W0Ela/9DyX/WVZmWp5IhEZjZrIrgplb2GHn6Kff7J2DsbJxJ+7uw/m5OVkpJMWcwtnD+M1RjZkFjm7hBmVUVUfc3QNGy1hau2Bh5Ujc3QNkZcTjUaZhgbdLFI4VK1bQt29fhg8fztGjR6lcuTLNmzcnOtr4CoPLli1j0KBBDB8+nHPnzjFv3jxWrFjBZ5999lTnLbTn3CiKgkajIT09nWrVqrFixQo8PT1xdDR+F8/Hx4cDBw7w/PO5IeucnByOHDlCtWrV/vE84eHhrFq1ClVV9T+89uzZg4ODA6VLl8bNzQ1LS0v27NmDv3/umuvZ2dkcOnSIPn36FFyDyV1UwcrK+IooBal954/5akgPQstXIyyiBqu+n0ZGehrN27wFwLjPuuPu5Uv33qMAWDZ3PKEVquFbJojsrEwO7N7C1p9/oPfnuc8jUBSFV9/sxdLZX1HaLxjvUgEsmD4Kdw8fnmv8cqG3579KV3Xc/dtcmCg1mytkYI8ZnooFi3QxxJFDX01uVKqF4szPaiILdDE0VZw4qabxh3qf4ZpS+mO0UVz4Vr1HiM6KUMWadWoiGehoqpj+XWiAjzq04t2xM6kaFkSNsBCm/7SJtPRM3mqZOwG6+xfT8fVwZdS7uc8oGbtwFZEVQggu5U1iShqTftjAjXsxdH0pdz6Fo50t9auE8/mspdhYWeLn7cHu42dZtuV3xvV8q9ja+aR6VAml72+HqOTpQhUvV+aduEh6Tg4dwgMA6LP1IN52Ngyqm3tHsmmAD3OOX6SCuwtVvV25lpjCNwfO0DTAB7O/ej3j9p6iob83pRxsScnKYd2FG+y7HcP3r9TPrxompWOXXnz52fuEVahKeEQNVi6ZQXp6Gi+2zR0+NGbwu7h7+vL+JyMAWDJnAmEVqlKqTCBZWVns3/0rWzYsp9/Q3GFnOdnZDP3kLS6cO8FX039Ep9USF5N7l9vRyQULS0uj9TAVVZ7vybblH+BZpiqeftU58ftMcrJSCa+ZO/fht2XvYefkS51WwwGoVP991s5oxbGdUwkIb87F46uIvnWMhq9NAiA7M5XD2yYQWKEltg5eZKTGc2rPHFKT7hJcuU0xtfLp9PpfG94f/S1Vw0OoUT6UGSvWkZaRwZutcifVvztyIr4eboz4MDfCMG7eD0RWLEdQaV+S7qcweekabt6LoUvr3Gf/pKSlM27eD7zSqC5eri5cvX2PYdMWEFTahya1//m73hQ0ffUTFn7TFf/QGgSUq8n2NZPIykil7gvdAFjwdRec3X1p+/ZYIHcRgrs3cpcG12ZnkRh3m5uXj2NlbY9nqdxnjkXUfplfln+Jq6cfPv4VuHn5GL+t/lZ/TFOnKAr+5d/g8sk52Dn6Y+NQiotHp2Nl64Gn38P5eAe39MDLrzH+4bnfOQEV3uLU7qE4uVfAyb0i185+jzYnnVJl2+jL3Lq4FnunICytXUiMOcG5g18TUOFN7J0CiriV4t+aOHEiPXr0oFu33L/nWbNmsXHjRubPn8+gQYPy5N+7dy/16tXTBz4CAgL43//+x4EDT7e4VYF1bjIzM7l37x6QOyxt2rRppKSk8PLLL1OzZk3Gjx9P69atGTVqFKVLl+b69eusXr2aAQMGULp0aXr37s24ceMoW7YsYWFhTJw4kcTExMee98MPP2TSpEl89NFH9OrViz///JPhw4fTt29fNBoNdnZ2fPDBB3z66ae4urri5+fH119/TVpaGu+8805BNb9INWrRnqSEGBbOGE1CbBTB5SoxbuZaXP9aZCD63k2DSV8Z6alM+aIPMVG3sbKyoUxgKIO/nE+jFu31eTp160tGeioTR/Ui5X4SEVXrMnbmOiytnjwMWFwukcFnuocTXOepMaBCY8WRTxRv4tES87fn03grFgzXlGKuLob1aiLumPOR4kW1v62OVl/jQJIuh6VqHAmqliCsGKkphYti0s+91WvfuC6xicmMmb+SqPhEKoX4s3b8IP2wtFvRsWj+FppISEmh1/g5RMUn4uxgR9XQILZNH0V4wMPw/8JhvRk++wfeHjONhOQU/Lw9GN69U4l4iOcrZcsQn57JhINniUnNoLyHE0tefk4/LO32/TSDqNTHkeEoisL4A6e5l5KOm40VTQN9GVC7gj5PbHomn/x2iOjUDBysLAh3c+L7V+rzvF/+w7pMSZOW7UiMj2XetC+Jj40iJCyCb75bhat77rCqqLu3DO4oZ6SlMnF0X6Kj7mBlZY1/UChDx82hSct2AMRE3+GPHZsA6NbOcAW1KQs25pmXY2rKVn2V9NRYDmz5krTkaNxLRfBSj1X6YWb3Ew2vh09gLZq9OZcDv4xh/6bROHsE07LbUtx8cudkKRozEqMvsPnQD6SnxmFt54pnmaq07fkLbt6mvQjHA+2a1Sc2MYkv5ywlKi6BiLJBrPp2pH5551v3YvQRTYDE+yl8PHYaUXEJODvYUyUshK2zvyYs0A/IjfSevnSNZZu2k3Q/FR93VxrXqsqQd9/AytLCaB1MSY2GHbmfFMOGxcNJTrhH6aAqfPTFLzi65L7n42NuGHz3Jsbd4YsPH3batv40ga0/TaBspQb0G78DgE4fTmH9oqH8MK0n9xOjcXLzpf6L79LqjWFF27j/ILBiN7Q56ZzeO4qcrPu4eFWlRrMZmJk/vNmblnyLrIxE/WufwBZkZSRw8dgMMtNjcXQtR41mMwwe0JmadI0LR6aQnZWEjb0vQZW6E1De9G+mFZXiWJr5wfkenVNu7OZ+VlYWR44cYfDgwfo0jUZD06ZN2bdvn9Hj161bl++//56DBw9Ss2ZNrly5wqZNm3jrraf7f1fURye1/Atdu3Zl0aJF+tcODg6EhYUxcOBA2rXL/eK7d+8eAwcOZNOmTdy/f59SpUrRpEkTvvnmGxwdHcnJyaF///4sWLAAjUbD22+/TWxsLElJSaxduxbIXQq6SpUqTJo0yeD8u3bt4tNPP+XEiRO4urrSpUsXxowZg7l57g/RjIwMBgwYwA8//MD9+/epUaMG3377LZGRkUDuUtCNGjUiISEBZ2dnABYuXEifPn0MOlgjRoxg7dq1HD9+/ImuS3JyMk5OTqzfe69EjDsvCmlVqxR3FUxO4+2jirsKJiV+5U/FXQWTc+0D48/R+P9q+WbTHLJTXMbW213cVTA5y5JaFXcVTMraH04VdxVMSk5WCr8tq0dSUlK+I4pM1YPflpc+6YiDVdFGxO9nZhHy7Yo86cOHD9evUPzAnTt3KFWqFHv37qVOnTr69AEDBrBr1658ozFTpkyhf//+qKpKTk4O77//vn5O/5MqkM6NME46N3lJ5yYv6dwYks5NXtK5MSSdG0PSuclLOjeGpHNj6Jno3PT7X/F0bib8wM2bNw2um7HIzb/p3OzcuZNOnToxZswYatWqxaVLl+jduzc9evRg6NChT1zPkjHGRgghhBBCCFHsHB0dH9spdHd3x8zMjKgowxUGo6Ki8PY2vsLg0KFDeeutt+jevTsAERERpKam8u677/L555+jecLn7Mhi4UIIIYQQQogCY2lpSfXq1dm2zXCFwW3bthlEcv4uLS0tTwfmwcN9n2agmURuhBBCCCGEKEEURcnzeIaiOOfT6Nu3L126dKFGjRrUrFmTSZMmkZqaql89rXPnzpQqVYqxY3NXGHz55ZeZOHEiVatW1Q9LGzp0KC+//LK+k/MkpHMjhBBCCCGEKFAdO3YkJiaGYcOGce/ePapUqcLmzZvx8spdYfDGjRsGkZohQ4agKApDhgzh9u3beHh48PLLL/PFF1881XmlcyOEEEIIIUQJomg0BkuPF9U5n1avXr3o1auX0X07d+40eG1ubs7w4cMZPnz4v6mensy5EUIIIYQQQjwTJHIjhBBCCCFECVKcD/E0dRK5EUIIIYQQQjwTpHMjhBBCCCGEeCbIsDQhhBBCCCFKEkUDRbygAErJiImUjFoKIYQQQgghxGNI5EYIIYQQQoiSpBgWFEAWFBBCCCGEEEKIoiOdGyGEEEIIIcQzQYalCSGEEEIIUYIoigaliCf4F/X5/q2SUUshhBBCCCGEeAyJ3AghhBBCCFGSaJSin+AvCwoIIYQQQgghRNGRyI0QQgghhBAliKLRoBTxQzyL+nz/VsmopRBCCCGEEEI8hnRuhBBCCCGEEM8EGZYmhBBCCCFECaJoFJQinuBf1Of7tyRyI4QQQgghhHgmSORGCCGEEEKIkkRRoKgfqqlI5EYIIYQQQgghiox0boQQQgghhBDPBBmWJoQQQgghRAkiCwrkTyI3QgghhBBCiGeCRG6KQPW9Y3G0sSruapgEzfZRxV0Fk7O98bDiroJJqTe6SXFXweS4WyYWdxVMyvgqvxd3FUyKmilf5Y96PuhOcVfBpNx8vlxxV8GkZKYn89uy4q7Ff6TR5G5Ffc4SoGTUUgghhBBCCCEeQzo3QgghhBBCiGeCxLKFEEIIIYQoQRRFQSni584U9fn+LYncCCGEEEIIIZ4JErkRQgghhBCiJFGKYUEBpWTEREpGLYUQQgghhBDiMSRyI4QQQgghRAkiD/HMn0RuhBBCCCGEEM8E6dwIIYQQQgghngkyLE0IIYQQQoiSRNEU/QR/WVBACCGEEEIIIYqORG6EEEIIIYQoSTRK7lbU5ywBJHIjhBBCCCGEeCZI50YIIYQQQgjxTJBhaUIIIYQQQpQgiqJBKeIJ/kV9vn+rZNRSCCGEEEIIIR5DIjdCCCGEEEKUJLKgQL4kciOEEEIIIYR4JkjkRgghhBBCiBJE0WhQNEU856aIz/dvlYxaCiGEEEIIIcRjSOdGCCGEEEII8UyQYWlCCCGEEEKUJIqSuxX1OUsAidwIIYQQQgghngkSuRFCCCGEEKIk0ShQ1BP8ZSloIYQQQgghhCg60rkRQgghhBBCPBNkWJoQQgghhBAliSwokC/p3JRQs3cdZfJvB4lKTiWilCfjOzSlRoCP0bwtJ/3AHxdv5kl/oUIQqz5sT7ZWy6gNu/n1zBWuxSbhaGNJo3IBjGz9PD7ODoXdlALx3ZotTFq+gaj4JCKC/ZjQuxs1wkOM5l3yy07eHzfLIM3K0oL4rUv0r1PSMhg2exkb/jhMfNJ9Anw8+aBdC7q3blao7Sgop9U0VusSuEwG8Wj5TONLHcX+H8ucUtOYq4vhBll4YE4HxZWmGieDPBt1iaxW40lASyBWvKfxIFSxKcymFJi5+04zdfdxolPSqODtxlcvP0f1Ml5G8748Zx17rt7Jk96snB8rurTSv/4zOoGRm/ex5+pdtDod5TxdWPRGc0qXkPfN0u8XMX/ud8TGxBAWFs7nw0ZRqXKVx5bb+PN6+n/SiyZNX2DazLn6dFVVmTp5Iit/XMb95GSqVq/B8JFfEhAQWIitKDiz1m5l0o8bH36OfNSZyLBgo3mXbP6d98bPNkizsrAgYfMC/euo+CSGzlnOb0dOkZSSRr1K5ZjYqwshpb0LtR0FST5bDS37fiHz584iNiaGcmHhfD5sNJUqV31suU0/r6P/Jz1p3LQ502bO06erqsq0yd+w8scfuJ+cRNXqkQwb+SUBAUGF2YwCdXjbLPZvnkhKUhReZSrxwhsTKRUUmW/+c4dWsWvNSBJjr+PqFULj174gpFIL/f6sjBS2/zSEC8c2kJ4Sh7N7ADWa9qR6ox5F0RzxDJDOTQm06sg5Bq/ewaROLxAZ4MP0HYdpO+1Hjg7vjoeDXZ78S3u0ITtHq38dn5pBnbELaFu1HABpWTmcuBnFwBZ1qVjag8S0TAau3EbH71bz+8AuRdauf+un7XsZNH0Jk/t2J7J8CNNXbqJ1/7Ec+34ini5ORss42tlwbMm3+teP3owYNH0xu46dYd7nPfH39mDboZP0mTQfH3cXWtWrUZjNKRAZqAQqVjRTHPlSd/ex+e+p2YzU3aal4kx/xZsTahpT1ShcVXOqKbl/U7t195mrxtBT8SRUsWa9msgw3W1maQJwVkz7o2T1yUsM2bSHCW0aUL20J7P2nqT9gp852Pd/eNjb5sm/+I3mZGl1+tfxaRk8P/VHWld8+EP3alwSL363hjdrhDOoaSQOVpacj47HytysSNr0X23auJ6vvhzNiFFfUqlyFRYvmkePt99k0687cXNzz7fc7Vs3GT9uDNVr1Myzb+7smXy/eAFjv55I6dJlmDLpG3p0e5OfN2/Dysq6MJvzn/20Yz+DZi1lSp9uRIaFMG31ZloP/IrjC8f/4+fI8YXj9a8VHn6QqKpKx2HfYmFuxo+jPsHRzoYpK3+h1adjOTr/K+xsTPt6gHy2PuqXjev56stRDB81lkqVq7Jk0VzefftNNv666wneM6OpXqNWnn3zZs/g+8UL+PLrb/XvmXe7vcmGzdtN/j0DcPbgSn5bMYCWb03FN6gmB7dOZfnEl3n/y5PYOXrmyX/r0j7WfNeZRu1GU7byi5zev5yVU1/jneH78SxdAYCtywdw/fxOWveYj5O7P1dO/8bm73vj4OxDaNWXirqJJkvRaFCKeEGBoj7fv2WytYyJieGDDz7Az88PKysrvL29ad68OXv27CnuqhW7adsO07VuJd6qE0GYjzuTOzXHxtKCxftOGc3vameDl5O9ftt+/hq2lha0rZbbuXGysWL9Rx15tXoYoV5u1Az05ZuOTTl2I4qb8clF2bR/ZeqPG+n2UmM6v9iQ8IDSTOnXHRtrSxZv2plvGUVR8HZz1m9ers4G+/efucAbzZ/n+aoV8Pfx5O1XmhIR7M/hc5cLtzEFpIZix1sad+ooTxZB2Kwm4oUF72g8KKNY8ZLGhXqKA+t0Cfo8a9UEmiuONNU44adY8aHiiRUKW1XT/xuZ8ccJOkeW543qYYR5uTKxdQNsLS1YeuS80fwuttZ4Odjqt52XbmJjYU7riIedmzG/HqRZOX9GtqxDJV8PAt2caBkeaLSzZIoWzZ/Lax3/x6vtOxBSNpQRo8ZibWPD6p9W5FtGq9Xyab+P6dW7L2XK+BnsU1WVxYvm8f6HH9Gk6QuUCwtn3PhviY6O5retvxZ2c/6zKT/9QrcXG9G5RQPCA0oxtU83bKysWLx5V75lFBS8XZ31m5frwx/8l27d4+C5S0zu040aYcGElvFlSp9uZGRl8+P2fUXRpP9MPlsNLZw/+6/3TEdCyoYyfNQ4rG2sWf3T8nzLaLVaBvT7iF69++X7nnnvw49p0rQ55cLKM278JKKjo9i2dUthN6dAHNgyhSrPv03l+l3wKBXOi52nYW5py4ndi4zmP7h1OsEVX6BOy764+4bR8NURePtX5fD2mfo8ty/vJ6Lum/iHNcDZPYBqDbvjVaYSd64eKqJWiZLOZDs37dq149ixYyxatIgLFy6wfv16GjZsSFxcXHFXrVhl5Wg5dvMeDcMC9GkajULDMH8OXsk7jMaYxftO0q56GHZWlvnmSU7PRFFyOz6mLCs7h2MXrtKoeoQ+TaPR0Kh6BAfPXMi3XEp6BmEdehHa/kM6fDaes1cNh+3VrhDKxj1HuBMTj6qq7Dp6hks379IkslKhtaU4nVczqKIY/iivhi3nyQAgW1W5RAaVlYeRQY2iUEWx4081vUjr+rSycrScuBNDg5DS+jSNRqFBcCkO3Yh6omN8f/g8r1YKwc7SAgCdTmXrn9cJdnei3YKfCf1iAU1nrGLj2auF0oaClpWVxZkzp6hT9zl9mkajoU7d5zh+7Gi+5WZMm4SrmzvtX+uUZ9+tmzeIjYkxOKaDgyOVKlfhxLEjBduAAqb/HKlWQZ+m0WhoXK0CB85eyrdcSnoG5f7Xm7KdPua1oRM5e+2Wfl9mdg4A1n/9zTw4pqWFOftO5//ZZCrks9VQVlYWZ8+conbd+vq03PdM/ce8Z77F1c2Ndq/9L8++3PdMNHX+dswH75njJv6eAdDmZHH3+lECyzfWpykaDYHlG3Hr8gGjZW5f3m+QHyCoYlNuX3qYv1RwbS4e30hywm1UVeXauZ3E37tIUIWmhdOQkkrRFM9WAphkLRMTE9m9ezdfffUVjRo1wt/fn5o1azJ48GBeeeUVIPfu0MyZM2nZsiU2NjYEBQXx008/GRxn4MCBhIaGYmtrS1BQEEOHDiU7O9sgz4YNG4iMjMTa2hp3d3fatm2r35eZmUn//v0pVaoUdnZ21KpVi507dxZ6+/9JXEoaWp2Kp4PhD1FPBzuik1MfW/7wtbucvRNLl7qV882TkZ3DsLW7eK16OI4m3rmJS0pGq9XlGSLh6eJEVHyi0TKhZXyZOeB9VnzRn3lDeqHTqTTpOYzb0Q87zhN6dyMsoDRl23+Ic5M3aTNgLBP7vM1zlcMLsznFJoEcnB8ZpeqsmJGGjkxVRzJadIALhkOunDEjAS2mLC4tA61OxcPecG6Qh70tUffTHlv+yM0ozkXF81aNh//3ManppGRlM3nXMZqULcOqbi/zUoVAOi/dzJ4nvMlQnBIT4tFqtbi5Gw6lcXNzJzYmxmiZI4cPsmrlCkaP+cro/tjY3HKPHtPd3Z2YWOPHNBWxSffR6nR4Gf0cSTJaJrSMD7M+7cGPo/syf/AH6HQqjT8eya2Y3M+Rcn4+lPF0Y9jcFSTcTyUrO4cJP2zgdkw89/L5bDIl8tlq6MF7xt3dwyA99z0TbbTMkcMHWb1yOaPGjDe6/8F7xv3R96G7h36fKUu7H4uq0+YZfmbn6EVqkvEbRylJUcbzJz/M3/yNb3H3DWNqv2DGvevA8m9fofmbk/ArV//RwwlhlEkOlLe3t8fe3p61a9dSu3ZtrKyM/8AeOnQo48aNY/LkySxZsoROnTpx6tQpwsNzPyQdHBxYuHAhvr6+nDp1ih49euDg4MCAAQMA2LhxI23btuXzzz9n8eLFZGVlsWnTJv3xe/XqxdmzZ1m+fDm+vr6sWbOGFi1acOrUKcqWLZunPpmZmWRmZupfJyeb3nCdxXtPUsHXI9/FB7K1WjrPW4eKyredXiji2hWNWhVDqVUxVP+6dsVQqnXux7wNvzHsnY4AzFy9mUNnL7Lyy08p4+3OnhPn6PvXuPDGNSLyO7R4Bn1/+DzlvV0NFh/QqSoALcMD+PC53BsFEb7uHLx+jwUHz1AvyLdY6lpYUlNSGPjpJ4z64itcXF2LuzomoVaFstSq8PB7oHaFslTtNoB5P29neLfXsDA354eRffjgmzmUavMeZhoNjapX4IWalVH/+vt51shn60OpKSkM+rQ3I7/4Wt4zT+nwthncvnyQ1z5ehZObHzcu/MGW7/vg4OxDYIUmxV09UQKYZOfG3NychQsX0qNHD2bNmkW1atVo0KABnTp1olKlh6Hr1157je7duwMwevRotm7dytSpU5kxYwYAQ4YM0ecNCAigf//+LF++XN+5+eKLL+jUqRMjR47U56tcOfeHyo0bN1iwYAE3btzA1zf3h0r//v3ZvHkzCxYs4Msvv8xT77FjxxocqzC42dtiplGIfuSOc/T9VDwd8y4m8HepmVmsOnKOz196zuj+3I7Nem7GJ/Pzx51MPmoD4ObkiJmZhugEw7ur0QlJecZ658fC3JzKIQFcvpV75yg9M4sRc5azfEw/WtSpBkBEsD8nL11n8oqfn6kv4AdcMCeRHIO0RFWLLRqsFA0aVUEDeaI0iWjzRHNMjZutNWYahZgUw+FzMSlpeDn88/yY1KxsVp+8xOCmhiv/uNlaY67RUM7T8EdLqKcL+6/dK5iKFyJnF1fMzMyIi401SI+Li8XdwyNP/hs3rnP71k0+fO9tfZpOl7vgQsWwQDZt2aG/ox0XG4un58OOYGxsLOHh5QujGQXG3ckBM42GKKOfI8Ynzj/qwefIldsP70BXCw3kwOwvSUpJIysnBw9nR57vOZxqoaa/epx8thp68J55NKKS+57JO3H+wXum53vd9GkP3jMRYf5s3LJL/56JjY3F42/vmbjYGMLCK2DqbB3cUTRmpCYbRq5Sk6OwczK+EqW9k5fx/I65+bOz0tmxahjte/1I2cotAfAqE0HUjRPs3zJJOjd/pyigkaWgjTHJYWmQO+fmzp07rF+/nhYtWrBz506qVavGwoUL9Xnq1KljUKZOnTqcO3dO/3rFihXUq1cPb29v7O3tGTJkCDdu3NDvP378OE2aGH+jnDp1Cq1WS2hoqD6SZG9vz65du7h82fjEx8GDB5OUlKTfbt7Mu/zyf2VpbkbVMt7s+vO6Pk2nU9n153VqPuZu8Zqjf5KZo6VjZN4PzQcdm8vRCaz/qCNu9iVjeV9LC3Oqhgay88hpfZpOp2Pn0dPUrBD6DyUf0mp1nLl6E283ZwCyc3LIztGiPPImNtNo9F9Oz5owxZoTqmGH+RhphJG7Wo+FohCCNSf/lkenqpxQ0yhn4ktBW5qbUdnXg98vPZwPodOp7Lp8m0g/41/AD6w7dZksrZYOVQ3/lizNzaha2oNLsYkG6Zdjkyjj/M9LbpsCS0tLKlSIYP++hwu06HQ69u/dQ5Wq1fLkDwoOZt3Graxev1m/NW7SjFq167B6/Wa8fXwpXcYPdw8Pg2Om3L/PyRPHqVy1epG069/Sf44cO6NP0+l07Dh2hlrljS97/Cj954iRH/5O9rZ4ODty6dY9jl64wkv1TPt6gHy2PsrS0pLyFSLYv+8PfVrue+aPf3jP/Mbq9Vv0W6MmL1Czdl1Wr9/yt/eMp8ExH7xnqpj4ewbAzNwSH/9qXDu3Q5+m6nRcO7eT0sF5V4aD3Pk0V/+WH+Dqme2UCsnNr9Nmo9Nmozwyt0OjMUNVTftvRJgOk4zcPGBtbU2zZs1o1qwZQ4cOpXv37gwfPpyuXbs+tuy+fft44403GDlyJM2bN8fJyYnly5czYcIEfR4bm/x/lKWkpGBmZsaRI0cwMzO8M21vb/zHi5WVVb5D6ApSryY1eG/xJqr6eVM9wIcZ2w+TlpnNW7Vz73q9u2gjPs72jGzdwKDc4n2neKly2Twdl2ytljfnrOPEzShWftAOnU5HVFIKAC52Nlia+NK2H3VoxbtjZ1I1LIgaYSFM/2kTaemZvNUyt/3dv5iOr4cro97NndA5duEqIiuEEFzKm8SUNCb9sIEb92Lo+lLuJEdHO1vqVwnn81lLsbGyxM/bg93Hz7Jsy++M6/lWsbXzaaSrOu6SpX8dpWZzhQzsMcNTsWCRLoY4cuiryR2e2EJx5mc1kQW6GJoqTpxU0/hDvc9wTSn9MdooLnyr3iNEZ0WoYs06NZEMdDRVHIu8fU/rw+cq0/On7VQp7UG10l7M2nOStKxsXq8WBsAHK7fh42jHsOa1Dcp9f/gcL4YH4mqbd0nWj+pX4Z3lW6kT6EP9oFJsu3CDzeevsaF76yJp03/V5e3uDB7Qj4oVI4ioVIXFC+eRnp5G23YdABj4aR+8vLzp238QVlbWhIaWMyjv4JD7//739M5d3mHWjCn4BwRQurQfUyZ9g6enJ02bmf4Q14/bt6THV99RLTSQGmHBTFu1mbSMTN5q/tfnyLhZ+Lq7MKp77vCqLxevoWb5EIJ9vUhMSWXSjxu5ERVL1xcb6Y+5etcB3J0cKOPpzumrN/l0+hJerleDpiYcofg7+Ww11PXtdxk84BMqVqz813tmLunp6bRtl/s3MejT3nh6edO3/2CsrKwpGxpmUN7xr/fM39M7d3mH72ZMwT8gUL8UtKenF02aNS+6hv0HtZp/zPq53fEJqIZvYCQHt04lOzOVSs91BmD9nLdxcPGlUfsxANRs1pMlXzVj/+ZJhFRuydkDP3L32hFe7DIdACsbR/zK1Wf7ysFYWFrj5ObH9T93c2rvUpp2+rrY2mmKFEWTpxNYFOcsCUy6c/Oo8uXLs3btWv3r/fv307lzZ4PXVavmPkxr7969+Pv78/nnn+v3X7/+MNoBUKlSJbZt20a3bt14VNWqVdFqtURHR1O/vmlNYmtXPZzY++l88fMfRN1PpVIpT1b3fE0/LO1mQnKeO2MXouLYd/kW63p1yHO8O4kpbDqVuyJQ3bELDfZt6t2J+qF+ecqYkvaN6xKbmMyY+SuJik+kUog/a8cP0g+duBUdi+ZvoduElBR6jZ9DVHwizg52VA0NYtv0UYQHPFxNa+Gw3gyf/QNvj5lGQnIKft4eDO/eqcQ8aO4SGXymexipmKfGgAqNFUc+UbyJR0uM+nAYmrdiwXBNKebqYlivJuKOOR8pXvpn3ADU1ziQpMthqRpHgqolCCtGakrhYuLPuAF4tVIIcanpjP3tENH306jo487Kbi/pF+a4lZiC5pH3zMWYBPZfv8eqbsafq/BShSAmtH6eSbuOMXjDH4R4OLPo9ebUzmc+m6l5sdUrJMTHM2XyRGJjYggPL8/seUv0Q2Xu3rmD5im/yLq/+wHp6ekMHzKY5ORkqtWowez5S0rE8zraN6pNTFIyoxeuIiohiUrB/qwdN0A/LO1mdKzB30hiSio9J8wlKiEJZ3s7qoYGsH3KcMIDHt4QuBeXyMCZS4lOSMLb1ZnXX3iOwW+2zXNuUyWfrYZatnqF+Pg4pk7+JvfBt+Hl+c7gPXP7qd8z77z7IenpaQwfMpD7yclUqxHJ7Pnfl4j3DED5mq+Rej+WXWtHkZoUhVeZynT6ZD32fw1LS4q/afBslNIhdWjz7iJ2rh7BztXDcPUK4bWPVuqfcQPQ9v0l7PhpKGtndyMjNR4nNz8avjqSag3lIZ7iySiqCc5sjIuL47XXXuPtt9+mUqVKODg4cPjwYT766CNatWrFvHnzUBQFd3d3vvrqK5577jmWLl3KmDFjOHXqFOXLl2f9+vW0a9eOJUuWEBkZycaNGxk5ciRarZbExEQAdu7cSZMmTRgyZAidOnUiJyeHTZs2MXDgQADefPNN9uzZw4QJE6hatSoxMTFs27aNSpUq0apVq39oQa7k5GScnJy4/U3vEjF/pShoKuYN3/9/t73xsOKugkmpN1rGVD8q6rXBxV0Fk+J/4/firoJJUc1N/wZDUbvua3xu6f9XS3fn/5DR/48y05P5pqcnSUlJODqa/uiDv3vw2zJq7ggcjYwqKNRzp2Xg1X2EyV83k4wv2dvbU6tWLb799luef/55KlasyNChQ+nRowfTpk3T5xs5ciTLly+nUqVKLF68mB9++IHy5XMnrr7yyit88skn9OrViypVqrB3716GDh1qcJ6GDRuycuVK1q9fT5UqVWjcuDEHDx7U71+wYAGdO3emX79+lCtXjjZt2nDo0CH8/Ew7kiGEEEIIIZ5hGqV4thLAJCM3T0JRFNasWUObNm2Kuyr5kshNXhK5yUsiN4YkcpOXRG4MSeTGkERu8pLIjSGJ3Bh6JiI380cWT+Tm7eEmf93kE1EIIYQQQoiSRNHkbkV9zhKgZNRSCCGEEEIIIR6jxEZuSuhoOiGEEEIIIf4bRSn6h2rKQzyFEEIIIYQQouhI50YIIYQQQgjxTCixw9KEEEIIIYT4f0mjyd2K+pwlQMmopRBCCCGEEEI8hkRuhBBCCCGEKElkKeh8lYxaCiGEEEIIIcRjSOdGCCGEEEII8UyQYWlCCCGEEEKUJBoldyvqc5YAErkRQgghhBBCPBMkciOEEEIIIURJoijFsKCARG6EEEIIIYQQoshI5EYIIYQQQoiSRFGKPpIikRshhBBCCCGEKDrSuRFCCCGEEEI8E2RYmhBCCCGEECWJRpO7FfU5S4CSUUshhBBCCCGEeAyJ3AghhBBCCFGSyIIC+ZLIjRBCCCGEEOKZIJ0bIYQQQgghxDNBhqUJIYQQQghRkiia3K2oz1kClIxaCiGEEEIIIcRjSORGCCGEEEKIkkQphqWgJXIjhBBCCCGEEEVHIjdCCCGEEEKUJLIUdL6kc1MENOUro7GzLe5qmIT4lT8VdxVMTr3RTYq7CiZlz9BtxV0Fk1O97bvFXQWTMim2U3FXwaT0zviyuKtgcu44v1LcVTApGek5xV0Fk5Ip1+OZJsPShBBCCCGEEM8EidwIIYQQQghRkshS0PkqGbUUQgghhBBCiMeQyI0QQgghhBAliSwokC+J3AghhBBCCCEK3PTp0wkICMDa2ppatWpx8ODBf8yfmJhIz5498fHxwcrKitDQUDZt2vRU55TIjRBCCCGEEKJArVixgr59+zJr1ixq1arFpEmTaN68OX/++Seenp558mdlZdGsWTM8PT356aefKFWqFNevX8fZ2fmpziudGyGEEEIIIUoSjSZ3K+pzPoWJEyfSo0cPunXrBsCsWbPYuHEj8+fPZ9CgQXnyz58/n/j4ePbu3YuFhQUAAQEBT1/Npy4hhBBCCCGE+H8pOTnZYMvMzMyTJysriyNHjtC0aVN9mkajoWnTpuzbt8/ocdevX0+dOnXo2bMnXl5eVKxYkS+//BKtVvtU9ZPOjRBCCCGEECWIqijFsgGUKVMGJycn/TZ27Ng89YuNjUWr1eLl5WWQ7uXlxb1794y26cqVK/z0009otVo2bdrE0KFDmTBhAmPGjHmqayPD0oQQQgghhBBP5ObNmzg6OupfW1lZFchxdTodnp6ezJ49GzMzM6pXr87t27cZP348w4cPf+LjSOdGCCGEEEII8UQcHR0NOjfGuLu7Y2ZmRlRUlEF6VFQU3t7eRsv4+PhgYWGBmZmZPi08PJx79+6RlZWFpaXlE9VPhqUJIYQQQghRkigKKJoi3p78OTeWlpZUr16dbdu26dN0Oh3btm2jTp06RsvUq1ePS5cuodPp9GkXLlzAx8fniTs2IJ0bIYQQQgghRAHr27cvc+bMYdGiRZw7d44PPviA1NRU/eppnTt3ZvDgwfr8H3zwAfHx8fTu3ZsLFy6wceNGvvzyS3r27PlU55VhaUIIIYQQQpQkD6IpRX3Op9CxY0diYmIYNmwY9+7do0qVKmzevFm/yMCNGzfQ/G156TJlyrBlyxY++eQTKlWqRKlSpejduzcDBw58qvNK50YIIYQQQghR4Hr16kWvXr2M7tu5c2eetDp16rB///7/dE7p3AghhBBCCFGC/H1p5qI8Z0kgc26EEEIIIYQQzwTp3AghhBBCCCGeCTIsTQghhBBCiJKkBCwoUFxKRi2FEEIIIYQQ4jEkciOEEEIIIURJoihP9VDNAjtnCSCRGyGEEEIIIcQzQTo3QgghhBBCiGeCDEsTQgghhBCiJNFocreiPmcJUDJqKYQQQgghhBCPIZEbIYQQQgghShBVUVCLeIJ/UZ/v35LIjRBCCCGEEOKZIJEbIYQQQgghShJ5iGe+pHNTQn23ZguTlm8gKj6JiGA/JvTuRo3wEKN5l/yyk/fHzTJIs7K0IH7rEv3rlLQMhs1exoY/DhOfdJ8AH08+aNeC7q2bFWo7CsrCk5f47tgFYtIyCHd3YtTzVanq5Zpv/rnHL7Lk9GVu30/D1caKF4NLMahOBNbmZgAsPnWZJaevcCs5FYBQV0f61Aynkb9PkbSnIMzdd5qpu48TnZJGBW83vnr5OaqX8TKa9+U569hz9U6e9Gbl/FjRpZX+9Z/RCYzcvI89V++i1eko5+nCojeaU9rZodDaURBOq2ms1iVwmQzi0fKZxpc6iv0/ljmlpjFXF8MNsvDAnA6KK001TgZ5NuoSWa3Gk4CWQKx4T+NBqGJTmE0pUAuWrmDm/EXExMZRPiyUMZ8PpGqlio8tt3bjZj7sP5jmTRqyYNq3+nTf8KpG8w/p34cP3+lSYPUuLPu2zGD3hgmkJN7D278SL3ebTJmQmkbzRt08w28/juD21aMkxlynVecJ1GvV2yDPzjXjOHNwLTF3zmNhaYNfaB1avDEWD99yRdGcAvHdbweY9MseopJSiCjjxYQ3W1EjuHS++RNT0xm5ahvrDp8lITUdPzdnvnqjJS0qhwJwPz2TUau3seHIOWKSU6ns78P4N16kelCpomrSf7Ju+Sx+XDSJ+NgogkMj6DVoAmERkUbz7v5tLT/MG8/tm1fQZmdTyj+Y9m/1ptnLr+vzqKrKohmj2bR6ASn3k6hQpQ69P59MaX/j3+em6Niu7zj822RSk6PwKBVB4w7f4BNQI9/8fx5dzZ6fR5McdwMXz2Dqtx5NUMXm+v2bF7/HmQNLDcoEhDelXa+1hdUE8Ywx+c5N165dWbRoEQDm5uaULl2a1157jVGjRmFtbV3MtSseP23fy6DpS5jctzuR5UOYvnITrfuP5dj3E/F0cTJaxtHOhmNLHv4IeXTY5KDpi9l17AzzPu+Jv7cH2w6dpM+k+fi4u9CqXv4fUqZg/cWbjP7jJF82rEZVb1fmHb/IW+t3s/ON5rjb5v0bWfPnDcbtO8X4xjWo4ePGlcT79P3tMAoKw+tXBsDH3obBdSoS6GyPqsLK89d5Z+NefunYlHJuxq+xKVl98hJDNu1hQpsGVC/tyay9J2m/4GcO9v0fHva2efIvfqM5WVqd/nV8WgbPT/2R1hWD9WlX45J48bs1vFkjnEFNI3GwsuR8dDxWf3UITVkGKoGKFc0UR77U3X1s/ntqNiN1t2mpONNf8eaEmsZUNQpX1Zxqih0Au3X3mavG0FPxJFSxZr2ayDDdbWZpAnBWTP6jlXWbtjDyqwmMG/E51SpVZM7iZbze40N2b1qLu1v+NwZu3r7D6PHfUqt63o7M8d+3GrzevnsP/YaMpNULTQq8/gXt5N4f2bS4P226z6B02Zrs3TSFBV++SN9vz2Lv5Jknf3ZmGq5egVSs3Z5Ni/sZPebVc79Tu/kHlA6ugU6bw6/Lh7Dgi5b0mXAKS2u7wm7Sf/bTgVMM+mEzk7u8TGRwaaZv2UfrbxZz7KuP8XTMe3MgKyeHl8cvwsPRjqW9OuLr4siNuEScbB92+HvOX8fZW1HMfbcdPi4OLN97gpe+XsiRLz/C19WxKJv31HZs/olZ3wyi95AphEdEsmrpNAZ90JoF647j4pb3b8TByZXXuw+gTGA5LCws2f/7L4wf/h7Orh5E1su9cbhiwUTW/DCTAaNn41MqgAXTRzHog1eYv+Yollam/xvn/JGf2LV6ME07TcYnoAZHdkxn1bQ2vD38KLYOea/J7Sv72bigG/VfGUlQRAvOH/qRdbM78dagP3D3raDPF1C+GS3efHhT1szCskjaI54NJSK+1KJFC+7evcuVK1f49ttv+e677xg+fHhxV6vYTP1xI91eakznFxsSHlCaKf26Y2NtyeJNO/MtoygK3m7O+s3L1dlg//4zF3ij+fM8X7UC/j6evP1KUyKC/Tl87nLhNqYAzDl+gf9VCKRj+QBCXR0Z26ga1uZmrDh3zWj+I/fiqOHjRttyfpRxtKOBnzetQ8twIjpen6dZoC+NA3wIdHYgyMWBgXUqYmthzrGoeKPHNDUz/jhB58jyvFE9jDAvVya2boCtpQVLj5w3mt/F1hovB1v9tvPSTWwszGkd8bBzM+bXgzQr58/IlnWo5OtBoJsTLcMDjXaWTE0NxY63NO7UUZ4swrRZTcQLC97ReFBGseIljQv1FAfW6RL0edaqCTRXHGmqccJPseJDxRMrFLaqyYXVjAI1e9H3vP7aq3R6tTWhIcF8NeJzbKyt+WH12nzLaLVaen76Gf16vY9/mbx37z093A22Ldt3Uq9WpNG8puaPjd8S2aQ71Rt1xat0eVp3n4GlpS1Hdiwwmr90SCQt3/yayvU6YmZhZTRPt882Ub1hF7zKVMAnoDLtPpxPYuwNbl85UphNKTBTN++lW4PqdH6+GuGlPJnS9WVsLC1Y/PtRo/kX/36MhJR0Vnz8OnVC/fH3cKF+WCCV/LwBSM/KZu3hs4zp+ALPhQUQ7OXG520bE+TpypztB4uyaf/KqiVTePHVbrRo0xn/4HD6DJmKlbUNm9cuNpq/SuTzPNekNf5BYfiWCeLVN3oSVLYip4/tBXKjNquXTuONHgOp1+hlgkIjGDhmLnExd9mzfUNRNu1fO7JtGhF1u1Kxzlu4+YTTrNMULCxtOLVvidH8R3fMILB8MyKb9cHNO4x6Lw/Dq0wVju36ziCfmbkVdk5e+s3a1qUomlOiqIqmWLaSoETU0srKCm9vb8qUKUObNm1o2rQpW7fm3iHMzMzk448/xtPTE2tra5577jkOHTpkUH7Xrl3UrFkTKysrfHx8GDRoEDk5Ofr9DRs25KOPPqJPnz64uLjg5eXFnDlzSE1NpVu3bjg4OBASEsIvv/xSpO02Jis7h2MXrtKoeoQ+TaPR0Kh6BAfPXMi3XEp6BmEdehHa/kM6fDaes1dvGuyvXSGUjXuOcCcmHlVV2XX0DJdu3qVJZKVCa0tByNLqOBWdyHNlHt4h0igK9Ut7ceRenNEy1b3dOBWdqO+oXE9KYcf1ezTy9zaaX6tTWXfhJunZWqp5uxV8IwpYVo6WE3diaBDy8AelRqPQILgUh25EPdExvj98nlcrhWBnaQGATqey9c/rBLs70W7Bz4R+sYCmM1ax8ezVQmlDcTuvZlBFMey0VcOW82QAkK2qXCKDysrDu+8aRaGKYsefanqR1vXfyMrK5uSZc9SvU0ufptFoqF+nFkeOn8y33MQZs3F3deX19m0fe46Y2Di27fqDTu3aFESVC1VOThZ3rhwlJOJhhEmj0RAc0YQbF/cX2Hky05IAsLHPPzJmKrJycjh27S6NKjy8waHRaGhUIZiDl24ZLbPx2HlqhpThk8U/E/DRV9T4bBrjN+xCq8uNCudodWh1OqwsDCObNpYW7Lt4o/AaUwCys7O4cO4Y1Wo30qdpNBqq1W7M2ZMHHlteVVWOHtjBrWsXqVT9OQDu3r5GfGwU1Wo9PKa9gxPhEZFPdMzips3JIurmMfzCHtZf0WjwC2vE3SvGO6t3rx7Er1wjgzT/8CbcvWqY/9bF3cwYGMD8kVX57YfepKcY/z4XwpgS0bn5u9OnT7N3714sLXNDlAMGDGDVqlUsWrSIo0ePEhISQvPmzYmPz/3hevv2bV588UUiIyM5ceIEM2fOZN68eYwZM8bguIsWLcLd3Z2DBw/y0Ucf8cEHH/Daa69Rt25djh49ygsvvMBbb71FWlpavnXLzMwkOTnZYCtocUnJaLW6PMPPPF2ciIpPNFomtIwvMwe8z4ov+jNvSC90OpUmPYdxO/rhh8WE3t0ICyhN2fYf4tzkTdoMGMvEPm/zXOXwAm9DQYpPz0SrqnjYGIbv3W2tiEnLMFqmbTk/+tUqT7tVOwicsYrnlmymdikPPqph2NZzsUmU+24NwTNX89nOo8x5sQ6hJj5sAiAuLQOtTsXD3nDuh4e9LVH38//7feDIzSjORcXz1t+uR0xqOilZ2UzedYwmZcuwqtvLvFQhkM5LN7PnSt65OiVdAjk4PzJq11kxIw0dmaqOZLToABcMh+Q5Y0YC2iKs6b8Tn5iAVqvF45HhZ+5ubsTEGv8RceDIMZavWsv40UOf6Bw/rt2AvZ0tLzZr/J/rW9jSkmPR6bR5hp/ZO3lyP/FegZxDp9Px86K++Jeri7ff4+c1Fbe4+2lodTo8nQyHz3k62RGVdN9omWsxCaw9fBatqrKm71sMat2AKb/s5at1uwBwsLGiVkgZvlq/i7sJyWh1On7Yc4IDl25yL9H4MU1FUkIsOq0WFzfDeYsubp4kxOZ/0yjlfhIv1fagRQ0nPu/1Kj0HTaB6ndxO9INyjw5pc3bzJP4fjmkq0lPiUHVa7B4Zfmbr4ElqsvH6pyZHYevoYZBm52iYP6B8U1p0ns1rH/9M/TajuHnpD1bPeBWdzvQ/W4uUohTPVgKY/sBw4Oeff8be3p6cnBwyMzPRaDRMmzaN1NRUZs6cycKFC2nZsiUAc+bMYevWrcybN49PP/2UGTNmUKZMGaZNm4aiKISFhXHnzh0GDhzIsGHD0Pz1tNXKlSszZMgQAAYPHsy4ceNwd3enR48eAAwbNoyZM2dy8uRJateubbSeY8eOZeTIkUVwRZ5OrYqh1KoYqn9du2Io1Tr3Y96G3xj2TkcAZq7ezKGzF1n55aeU8XZnz4lz9P1rzk3jGhH5HbpE2ncrmmlHzvNFg2pU8XLlWlIKI3YfZ9Khs/SJLK/PF+ziwOaOzbiflc2mS7f45LdDrHy1YYno4PwX3x8+T3lvV4PFB3SqCkDL8AA+fC53XlKErzsHr99jwcEz1AvyLZa6iqKRkprKxwOHMH7UUNxcnmx4yPLV62j7UkusrYwP2fr/Zv38j4i6eYb3Ru4q7qoUGp1OxcPBjmndXsFMo6FqoC93EpKZtGkPn7XNvVs/9912fDBvDSF9vsFMo6GKvw+v1Y7g+LVn7yYJgK2dA9/9uJ/0tBSOHdjJrAmD8CkdSJXI54u7aiYrrMZr+n97lKqIR6mKzBsewc0Lv+P/tyiREPkpEZ2bRo0aMXPmTFJTU/n2228xNzenXbt2nDx5kuzsbOrVq6fPa2FhQc2aNTl37hwA586do06dOih/623Wq1ePlJQUbt26hZ+fHwCVKj0cfmVmZoabmxsREQ9/1Ht55f7Qi46OzreegwcPpm/fvvrXycnJlClT5j+23pCbkyNmZhqiE5IM0qMTkvLMo8mPhbk5lUMCuHwr905JemYWI+YsZ/mYfrSoUw2AiGB/Tl66zuQVP5t058bVxgozRSEm3TBKE5uWiYeRxQQAxh84w6vl/PlfhUAAwt2dSM/JYeCOo3xcIxzNX38rlmYaAp1zJ81W8nThRHQC809cZFyj6oXYov/OzdYaM41CTIrh8KiYlDS8HP55fkxqVjarT15icFPD1X/cbK0x12go52l4pz/U04X91wrmzrYpccGcRHIM0hJVLbZosFI0aFQFDeSJ0iSizRPNMUWuzi6YmZkRE2c4hyw2Lg4P97xDL6/duMXN23fo8mEffZrur6FGZSrWYPemNQT4PfysO3D4KJevXmPWxHGF04ACZuvojkZjRkqS4ed7SlI0Ds7Gh6s+jfXzP+bPoxvpMWIHTm6mP/8IwM3BFjONhuikVIP06KRUvJyMz13zdrbH3MwMM83DQSHlfDyISkohKycHS3Nzgrxc2fLZO6RmZpGcnomPswOdp/9IgKdpz6lwcnFHY2ZGQpxhRCIhLhoXd+OrUELu0LVSfrlD+0LCKnPj6nl+mPcNVSKf15dLiIvGzePhSpyJcdEElzPtIeEANvZuKBozUu8bvm/S7kdj52j8mtg5epGWHGOQlpqcf34AZ/dAbOzdSIy5Ip0b8URKxLA0Ozs7QkJCqFy5MvPnz+fAgQPMmzevQM9hYWFh8FpRFIO0B52jB1/oxlhZWeHo6GiwFTRLC3Oqhgay88hpfZpOp2Pn0dPUrBD6DyUf0mp1nLl6E283ZwCyc3LIztEadAABzDSaf2yvKbA00xDh6cyemw8/XHWqyh+3oqmez/yYjBwtmkciqw86NH8FKIzSqSqZWtO+HgCW5mZU9vXg97+Ni9fpVHZdvk2kX/5fIADrTl0mS6ulQ1XDvyVLczOqlvbgUmyiQfrl2CTKOP/zksolUZhizQnVcAjfMdIII7fDbKEohGDNyb/l0akqJ9Q0ypWApaAtLS2oVCGcP/Y/HNev0+n4Y/9BqlfJ+6MqJCiA7etWsnX1cv32QuMG1KsVydbVy/H1NuwA/LBqLZUqhFMhrGQseWxubolvUDUundquT9PpdFw+vR2/ssYj9U9CVVXWz/+YswfX8s7Qrbh6BhZEdYuEpbk5VQN82Hn2ij5Np9Ox8+wVaoYY76DVLuvHleh4g++NS1FxeDs7YGlueC/VzsoSH2cHElLT+e30JV6qatpDoC0sLAkNr8rRAzv1aTqdjmMHdlC+Uq38Cz5Cp9ORnZ0JgE+pAFzdvTj2t2OmpiRz7tShpzpmcTEzt8SrTNX/Y+++w6Mo3gCOf+9CCiG9BwikEZIASYDQQYr0IiAoKNKkqIBSpIsgqIB0kSZNQEWQDoIgRZAmKFVAVEA66b0nd/v7435cOEiUknIX38/z7POQuZndmWV372bf2Vlu/nFQn6Zotdz84yCevnlPoe7pU9sgP8CNyz/i6ZN3foDk+Dukp8ZRxv7ZbzSUJArFMKGAaXQbTCNy8yC1Ws348eMZMWIEV65cwcLCgqNHj1KxYkUAsrOz+eWXXxg2bBgAQUFBbNq0CUVR9D/ejx49iq2tLeXLm8YdtIe9/XI7Bk5bTPVAX8ID/Vm4cRdp6Zn0bNMYgP4fL6SsqxNTBr4CwLRVm6hVxR+/ch4kpKQx75sd3IyIpk973Vh4uzLWNAoL4r0lX1Pa0oIKHq4cPnuJtXt+YvrgnsXWzsc1ICyAEft+IcTNkTB3J1ac+4v0nBxeDvIGYNjek3iUKc3Y+roIVHNvT5ad/YsqLo5U93DiekIKs05cpLm3J2b/7/VMP/YbTSp6UM7WmpSsHLb9eZPjd6L56oVGxdXMJzKoYSiDNx4grLwrNcq7s+ToedKysnm1RiAAb23Yj6ddGSa2Mvzh9tWvv9M2yAenPKJebzcKo9+6vdTz8aSRbzn2/3mT3Zevs6N/xyJp07NIV7TcI0v/d6SSzTUysMEMN5U5q7XRxJLDCLXu7mlrlQPfKQl8oY2mucqe80oaR5RkJqlz38XRSeXIXCUCf60lASortikJZKCluco0hi0O7P0aw8ZNJLRqMNWr6aaCTktPp3tn3f/nO2Mm4OHuxvgR72BlaUlggOF7N+xtdXfvH05PTklhx569TBo9AlPSsN1wNi7qS3m/mpT3q8XRXfPJykylRpM+AGxY0Ac7p7K0enUqoJuEIOr2JUD3YHVS/B3uXj+LpZUNzh66fbJ9xducO/oNr43ajGVpW/3zO1bW9phbGH8n+O3W9Rm4bAvVfcoS7qubCjotM4uejXQR/v6fb6Ksox1TXtZNazygWW0+33eSUV9/z5st6nA1IpaZO35iUIvc68ze3/5CUSDA04WrkbG8t/4HAjxd6Nko73ckGZMuPd9hxvsDqFylBpWrhrP5qwVkpKfRupPue3L6e/1xcStL/6FTAFi7YiaVg2vg6eVLdlYmJw/vYd/Obxj63qeA7qbpiz2G8PWyTyhX0Q+Pct6sWjgFZ1dPGjTrUGztfBI1nx/C7jVv4FGhBh7eNTl9YCHZmWlUrfsaAN+vHoCNQ1kaddQN2a/RdBDfzm3Nr/vm41O1FX+c2kjkzdO0fHU+AFkZKRzfNY1K1TtSxs6dhOhr/LT1fRxd/fAOal5s7RSmxeQ6NwAvvfQSo0aNYvHixbz11luMGjUKJycnKlSowIwZM0hLS6Nfv34ADBo0iHnz5vH2228zZMgQ/vjjDyZNmsSIESP0z9uYmq7N6hOTkMRHKzcQGZdAiH9Fts4cqx+WdjsqBvUDoYn4lBSGzFxGZFwCDrZlqB7gy/6FUwjyzu3crZo4lElLv+H1jxYQn5RCBQ9XJvXvbhIv8Xyhkhdx6ZnMPnmJ6NQMgl3t+bJDQ/2wtDvJaQZRqXdqBaFSqZh54gIRKek4l7akuU9ZRtfNnWM/Jj2T4ft+ISo1A1tLc4Kc7fnqhUY89y+RD2PxYog/sanpTNv3C1HJaVT1dGFD3/a4/X9Y2u2EFH206r6/ouP5+UYEm/q2z3Od7av4Mrvjc8w7dIZxO47g7+rA6ldbUdfb+F9seoUMxmtzI1krlGhQoJnKjuEqD+LQEK3kDkPzUJkzSV2O5dpotisJuFCKt1Xu+nfcADRS25KozeFrJZZ4RYMvlkxWl8PRBN5xA9CxbSti4+OZOX8x0TGxVAmqzNdLF+qHpd25F/FU18htu/agKNCpXeuCrnKhCqn/MqlJ0ez79gOSEyLw9A6l77id2DrozvmE2JuoHtgfyXF3WTAm9x1gh3fM4fCOOfgEP8eASboI0Im9uvd0LJ9s+J6fLm+toGYT43+padc61YhJSuOjzQeITEwhpIIHW0f2xN1eF629HZdo8F1T3tmebaN6MmbtbupMWERZB1sGt6zLiHa5N4WS0jKZtGEvd+KTcCxTmk7hwUzq2hxzE3hfVtPWXUmMj2bVog+Jj4nEr3II0xZt1U8yEBVxy+CcyUhPZf7UYURH3sHSsjRePgGM/XglTVt31efp1ncEGempzJ0yhJTkRKpWr8/0RdtM4h03AIE1u5KeHMPR7z4iLTkS13IhdBm8RT/MLCn+FqoHpg8u51uXtn1XcnTHhxzZ8QEOrn50HLhO/44bldqM6LsXuHjiazLTE7Gx96RiUDMatH+fUvlMuf6fVRwP+JvIhAIqRfmngTjFr0+fPiQkJLB161aD9OnTpzNnzhz+/vtvxo0bxzfffENycjLh4eHMnTuXWrVynxk4dOgQo0aN4ty5czg5OdG7d28++ugjSv0/TN6kSRPCwsKYN2+evoy3tzfDhg3TR4BAd5dly5YtdOrU6bHqnpSUhL29Pfd2rcSujPG/C6QoxG3YWNxVMDplyrr+e6b/kKPv7y/uKhidmhfWF3cVjMqq88b7HGBxGJoxtbirYHSOh40s7ioYle+PGP+Q6qKUmZ7EgpFlSUxMLJRHCArT/d+Wtw9swK6I3zOXlJJG+WYvGf1+M/pbjKtWrcozfezYsYwdOxaA+fPnM3/+/HzX0bhxY06ezP8FYQcPHnwk7fr164+kGXk/UAghhBBC/BeoVFDUL9U0kciNaY7LEkIIIYQQQoiHSOdGCCGEEEIIUSIY/bA0IYQQQgghRC5FpUIp4mFiRb29pyWRGyGEEEIIIUSJIJEbIYQQQgghTIlKXQwTCphGTMQ0aimEEEIIIYQQ/0I6N0IIIYQQQogSQYalCSGEEEIIYUIUVCgU8YQCRby9pyWRGyGEEEIIIUSJIJEbIYQQQgghTIiiUqMU8QP+Rb29p2UatRRCCCGEEEKIfyGRGyGEEEIIIUyJTAWdL9OopRBCCCGEEEL8C+ncCCGEEEIIIUoEGZYmhBBCCCGECVFUKhRVEU8FXcTbe1oSuRFCCCGEEEKUCBK5EUIIIYQQwoTIVND5M41aCiGEEEIIIcS/kM6NEEIIIYQQokSQYWlCCCGEEEKYEpVKtxT1Nk2ARG6EEEIIIYQQJYJEboQQQgghhDAlxTChADKhgBBCCCGEEEIUHYncCCGEEEIIYUIUVCgU8Us8i3h7T0siN0IIIYQQQogSQTo3QgghhBBCiBJBhqUJIYQQQghhQpRimFCgyCcweEqmUUshhBBCCCGE+BcSuSkCsR5VybKxKe5qGIWbb7Ut7ioYHReLhOKuglGp2XlgcVfB6Jyq2q24q2BUnHZdLu4qGJUbvq8XdxWMzuU/rYq7Ckbl7z+uFXcVjEp2ZnJxV+HZqSiGl3gW7eaelkRuhBBCCCGEECWCdG6EEEIIIYQQJYIMSxNCCCGEEMKEKKhRijhGUdTbe1qmUUshhBBCCCGE+BcSuRFCCCGEEMKEKCoVShFPKFDU23taErkRQgghhBBClAgSuRFCCCGEEMKEyEs882catRRCCCGEEEKIfyGdGyGEEEIIIUSJIMPShBBCCCGEMCEKKhSKeEKBIt7e05LIjRBCCCGEEKJEkMiNEEIIIYQQJkQmFMifadRSCCGEEEIIIf6FdG6EEEIIIYQQJYIMSxNCCCGEEMKEKCoViqqIJxQo4u09LYncCCGEEEIIIUoEidwIIYQQQghhQmQq6PxJ5EYIIYQQQghRIkjnRgghhBBCCFEiyLA0IYQQQgghTIi85yZ/plFLIYQQQgghhPgXErkRQgghhBDChMiEAvmTyI0QQgghhBCiRJDIjRBCCCGEECZEoRieuTGRmIhp1FIIIYQQQggh/oV0boQQQgghhBAlggxLE0IIIYQQwoTIhAL5k8iNiVr91VoaNG1OQNUwOnbtxtlz5x+r3PbvdlExIJgBbw0xSH93zHgqBgQbLL36DSyMqheKzWuX8lKLqjxf3ZWB3Zty6fyv+eY9tHc7/V9uTJu6XrQI96Dviw3Yvf0b/ec52dksnj2R3p3q0iLcg05NAvho3EBiou4VRVMKzNdfreb5JvUJrVKJbl1e4Py5s49Vbud32wmqVIEhb/U3SFcUhfnzZtOofk3Cqlaib+9XuH7970KoeeH44uv11H6+LT6hdWjXrSdnzl94rHJbd+6mbFB1+g4ZbpBeNqh6nsuiFasLo/oF6oKSxhTNHXprrtJB8yfHlZR/LfObksZQzQ06a/5ioOZv9mkTH8mzU5tAP801XtT8xbuam/yppBdG9QvNwe0LGd/LhyHtSzP9nbr8fflkvnnvXr/I51O6Mr6XD2+2UrN/87xH8tz/7OHlmwWDC7EVBWvtV6to3qQuYVX86NalPefPnXmscru+20ZwpfIMeaufQbqiKHw2bybP1a9B9ap+vN67O9evXyuMqheKQ98tZGJfH4Z1Ks3M4XW5/kf+x8i9GxdZ9nFXJvb1YUg7NT9unZdnvoSYO6ye2ZPR3V0Y3tmajweFcOOv/L/DjI2iKFz6eR47l9dj68IqHN7Si5SE6/9a7uq5L9n9RWO2Lgzmx/VdiIs490ie2HunObz5NbYtqsb2xaEc2vgKmpyMQmiFKEmkc2OCduz8no+mfcLQIYP4butGggID6dlvIDGxsf9Y7tbtO3z8yUxqh9fM8/PGjRryy9FD+uWzOTMLo/oFbv/3m1gwYzx9Bo1l+YbD+FeuxrtvvEh8bHSe+e3sHek1cCSLv97Hqs3HaNu5B9MnDOLEkX0AZGSk8efv5+j95mhWbDjMx59+xc2//2LskO5F2axnsmvndj6Z+iGDhwxj09adVA4KYsDrrxEbG/OP5e7cvsXM6R9RM7z2I58tX7qYr9Z8wQdTprF+43asS1szoO9rZGYa/xfNtl17mPzJbEYMfoM9m9YSXDmAVwcMIiY27h/L3bpzlw9nzqVOzeqPfHb2p70Gy5yPP0ClUtGu5fOF1YwCk4GCj8qSN9Vuj5U/QslmsvYOISpr5qsr8ILKgc+USE4rqfo8h7XJLFeieUXlzDx1BXxUlkzU3iFBySmsZhSoXw+uZ+PSd2nfYyLjF56ivG8In73XmqSEqDzzZ2Wm4eLpQ+fXp2Hn5JFnnnHzT/LJN3f1y9BpPwBQo9FLhdaOgvT9zu18MnUKg4YMZ+PW7wkMCmbgY19HPqRmeJ1HPluxdBFfrfmCSVOmsW7jDkqXtmagiVxHTv20ni3L3qXNqxMZM/8U5XxCWPh+a5L/6Rjx8OGFPtOwc8z7GElLjmfOqIaoS5kzaPIu3lt8kRf7z8LaxrEwm1Kg/jy1lKtnV1O96RSadttEqVKlObK1L5qczHzL3P5zJ78dnkpgnbdp1n0b9i6BHN3Wl4y03N8xsfdOc3Tb67hVaEjTbpto2n0LfiGvgYlEDwqbolLpX+RZdItp7Pv/TOemT58+dOrU6anKNmnShGHDhhVofZ7F8i9W0f3ll3i5y4sE+PszdcokSltZ8e3GzfmW0Wg0DB05muHvDKGCl1eeeSwtLHBzddUv9vb2hdWEArV+9QI6dO1Nu86v4eMfyMhJ87CyKs3OzV/mmb967UY817wD3n6VKVfBl5d6DsI3oCq/nT4OgI2tPXOXb6NZ6xep4FOJKqG1Gf7eLP64eIbIu7eKsmlPbfXK5bzU7RVe7Poy/pUC+GDKNKxKl2bzxvX5ltFoNIx69x2GDB2Bl1cFg88URWHN6hW8Oehtnm/eksqBQUyfOZeoqCj27f2hsJvzzJau/opXX3qR7i92JMDfj08+eI/SVlZ8s3lrvmU0Gg2DR43n3SFvUtGr/COfu7m6GCx7DhykQZ1aeeY1NuGqMvRUu1BPZftY+XcrCbhjTj+1K14qS9qrHWmgsmWbNl6fZ6sSTyuVHc3V9lRQWTJI5YYlKvYqSYXVjAK1b/NcGrTuT/1WfSlbMZhX31mCuaU1x/aszDO/d+VadBkwk1pNulPK3DLPPLYOrtg7eeiX3058h6unHwEhjQuzKQVm1cql/7+OdMO/UgCTpkzHqrQVmzeuy7eMRqNh9LtvM2Tou/leR94Y9A7PN29F5cBgps+cR1RUJPv37ins5jyzA1vmUr91f+q16ItnhWC6D1mChZU1x3/I+xipGFCLzv1mEt44/2Nk78ZPcHT1oufwlXhXro2Lhw9BNVri6ulXmE0pMIqicOXsKirXHkxZvxbYuwQS3nIWGamR3L22N99yf51ZiXfVbngHd8XOuRLVm32IWanS3Li0QZ/n/E8f4xfam8rhb2LnHICtoy/lA9phVirvfSnEff+Zzk1JkZWVxW8XL9Gwfl19mlqtpmH9epw+ezbfcp8uWISLkxPdX+qSb56fT/5CjboNadqqLe9Nmkx8fEIB1rxwZGdl8eels9Ss11SfplarCa/bhIvn8h8ucJ+iKPz680FuXf+L0PAG+eZLTUlCpVJhY2f8Hb6srCwuXvyNevUb6tPUajX16jfk7JnT+ZZbtGAeTs4udH3p0QjV7Vs3iYmONlinra0dIaFhnDtzqmAbUMCysrI5f/F3GtXLvYusVqtpVK8Op87mP5xzzqKluDg58WrXzv+6jeiYWPYfOkL3Lp0KospG57KSQZjK2iCtBtZcRne3PVtRuEIGoaoy+s/VKhVhqjL8YQJD03Kys7j51ymCajTXp6nVaoKqN+fapZ8LbBsnDnxN/VZ9UZnA3c+srCwuXfyNuvUb6dN015FG/3IdmYuTszNdXnrlkc9015Eo6j2wzvvXkbNGfh3Jyc7i1pVTVA4zPEYqhzXn78tPf4z8dmIHFfxrsmLqy4x91Z3pb9fg6O5lBVHlIpGWdIvMtGjcvOrr08wtbXFyDyXuXt5DGLWaLBKiLuDmlfudq1KpcfOqry+TkRZLfOQ5rKydOfjtS+xcVoefNr5CzF3TGa4nio90boBDhw5Ru3ZtLC0t8fT0ZOzYseTk6IZS9OnTh0OHDvHpp5+iUqlQqVRcv3692OoaH5+ARqPBxcXFIN3FxZno6LyHCvzy6ynWb9zM9I+m5Lvexo0aMmfGNNauXsnYkSP4+eQv9O7/BhqNpkDrX9ASE2LRaDQ4ObsapDs6uxEbE5lvuZTkRFqGe9I0zJkxb73EsPEzqVW/WZ55MzMzWDxnEs3bdqWMjV2B1r8wJMTHodFocH7oGHF2diEmOu+heqd+PcmmDev58KNP8vw8JkZX7uF1uri4EB2T9zqNRVxCPBqNBldnJ4N0F2dnomPyHsp54tQZ1m3ayswP33+sbXy7dQc2Zaxp2yLvY8jUxZODw0PzzziozEhDS6aiJQkNWsARM8M8mBGPcV9DAFKSYtBqNdg5uBuk2zq6kRQfUSDbOHtsK+kpCdRr2adA1lfY7l9HXFwMr62660jew7BO/XqSzRvWMeWjvIc037+OPPz95eziqv/MWN0/RmwfOkbsHJ7tGImJuMbhXUtwLefP4A9307Dtm2z8fCg/7zP+Z/cAMtJ0vzssrQ3/Ty2tXchIy/v/NDM9HkXRYGntnEcZ3frSEm8C8PuJ+XhX7UaDjitxcKvCkc09H+t5nv+C+xMKFPViCv7zs6XduXOHtm3b0qdPH9asWcPly5cZMGAAVlZWfPDBB3z66af8+eefVK1alSlTdJ0DV1fXPNeVmZlJZmbuGNOkpOIfjpGSksqw0WOZ/tFknJzyH8P7Qvu2+n8HVg4gqHJlGjVvxfETJ2lYv15RVLVIWZexZeWmI6SnpXLqxCEWzBhP2fLeVK/dyCBfTnY2k0b0RlEU3p04t5hqW7hSU1IYM2o4Uz7+BEcnp38vUMKlpKbyzpgJzJzyPs6Ojzfufd3mbXRu3wYrSxkuIfJ2bM9KqtRqg4Nz2eKuSqFITUlh7KihTP54hlxHnoCiaKngH84LvacC4OVXnXs3LnDk+8+p27x3MdfuUTcvb+PMj7k3fep3KJwok4ICgHfV7ngHdwXAwa0KUbeOc/3iBqo2GFUo2xUlw3++c7No0SK8vLxYsGABKpWKwMBA7t69y5gxY5g4cSL29vZYWFhgbW2Nh0feDwTeN23aNCZPnlyo9XV0dMDMzIyYGMMoTUxMLK6uLo/kv3HzJrdv36Hfm7mz82i1WgB8g6rx456dVKxQ4ZFyFSp44eToyI2bN426c2Pv4IyZmRlxD00eEB8bhbOLez6ldMMJylfUjWmuFBTC9Wt/8OWy2Qadm5zsbCa+25uIu7f49IsdJhG1AXBwdMLMzIzYh46R2NgYXPLomN+8eYM7t28x6I3X9Wn3j5GqgT7s2vOj/u5tbEwMbm65+zUmJoagoODCaEaBcXJwxMzMjOiHJg+IiY3F1cX5kfzXb97m1p279B40TJ92f394VQ3n8K4teFfIfW7txK+nufr3dZbMmV44DTACjpQiAcOJARIUDdaosVSpUSsq1PBIlCYBzSPRHGNkY+eCWm1GUoJhtDc5PirfB8GfRGzkDX4/s4833t/0zOsqKvevIw9HVHTXkUcnorh/HRn8Rl992v3zplpgRXbuOaS/jsTExOD6wHUkNiaawKAqhdGMAnP/GEl+6BhJSni2Y8TO0ROPCkEGaR5eQZw9lv8ztMXJ0/d5nDxC9X9rNVkAZKbFULpM7nGRmRaDvWve3w2WpR1RqczITDOMnGemxWD1/wiQlbXuWLFz8jfIY+vkR3qKac1cWlh0EwoU8VTQJjCkFmRYGr///jv16tUzGAPdoEEDUlJSuH379hOta9y4cSQmJuqXW7cK/uFzCwsLqlUJ5ujx3DG+Wq2Wo8d/pkZY2CP5/fx8+eG7bXy/bbN+adGsKfXq1Ob7bZvxzKfDdi8igviEBNzyiVIZC3MLCwKCwzj180F9mlar5dSJQ1QJfXTGr/woWi3Z2Vn6v+93bG7fuMrcFduxd3j0R7CxsrCwoEqVavx8/Kg+TavV8vOxo4RVr/FIfl8/P7bt3Mvm7bv1S7PnW1Cnbj02b9+Nh2dZyntVwMXV1WCdKcnJnD93ltDqec++ZywsLMwJqRLEkZ9P6NO0Wi1Hfj5JzbCQR/L7+3pzYNsG9m5ep19aNmtMgzq12Lt5HWUfOme+2bSVkCpBVAmsXOhtKS6BKivOKWkGaWdIIxArAMxVKvyx4vwDebSKwjkljcqq0kVa16dRytyCCpVqcvnMfn2aVqvl8tn9+AbX/YeSj+fYD19g6+BGtTrtnnldRcXCwoLgKtX4+fgRfZruOnLkH64j+9i8fY9+afp8S2rXrc/m7XseuI64Gazz/nUkzMivI6XMLfDyr8kfZw2PkT/P7scn8OmPEd/gBkTd+dMgLerOnzi5VnzqdRYmcwsbbBy89YutUyUsrV2JvnVMnyc7M5m4yHM4eT46yySA2swCB7eqRD1QRlG0RN06pi9jbVceqzLuJMcbvm4gJf5vStuWzOinKDj/+chNQbK0tMSyCIal9O/bh3fHjCOkalVCQ6qxcvUa0tLTeamL7sHn4aPG4uHuxpiRI7CytKRyQCWD8nZ2ugjE/fTU1FTmLVhEm1YtcXVx4cbNm0ybORvvihV4rlFDjF233kOYOv5NAqtUJ6haOBu+XER6ehptO78GwEfjBuLiVpY3h38AwJfLZhNYpTrlvHzIysri58M/sGfHOt59XzfsLCc7m/eH9+TP38/xycJv0Wo0xEbr7tbZ2TtibmFRLO18Er1f78+40e9StWo1qoWEsWbVCtLT0+jc5WUAxowahru7ByNGjsXS0oqAAMMf5ra2umPkwfRevfuxZNF8Knp7U758BebPm4WbmxvNW7QsuoY9pYG9X2PYuImEVg2merWqLFuzlrT0dLp37gjAO2Mm4OHuxvgR72BlaUlggOHdQntb3axiD6cnp6SwY89eJo0eUTQNKSDpipZ75HbmI5VsrpGBDWa4qcxZrY0mlhxGqD0BaK1y4DslgS+00TRX2XNeSeOIkswkdTn9OjqpHJmrROCvtSRAZcU2JYEMtDRXmUbEs/mLw1k1qw8VA8LxrlybA1vmkZWRSv2WukjEFzN64+BSls6vTwN0D5jfu3kJAE12Fgmxd7h19SyWVja4lcs9TrRaLcd/WEW95r0wMzOtr9w+rw9k3OjhVK0a+v/ryHLS09Pp3KUbAGNHDcXN3YMRI8dhaWlFpYBAg/J2/7+OPJjeq3c/Pl80n4rePpQv7/X/64g7z7doVXQNe0rNOg/nyzl9qFApHO+A2vy4bR6ZGanUbaE7RtbM7o29c1k69sk9RiL+f4zk5OiOkdtXz2JZ2gbXsrpjpFmnYcwe2YA966dSo9HLXP/zJEd3L+OVtz8vnkY+IZVKhX9YHy7/sogyDt6UsfPi0s9zsSrjTlnfFvp8hzf3pKxfC/xCewFQqfrr/Lp3FI7u1XB0D+HK2VVoctKp+P8haCqVioAa/bl04lMcXAKxdw3ixu9bSI6/Rp22C4qlrcZGUVQoShFHbop4e0/LtK60hSAoKIhNmzahKIo+enP06FFsbW0pX143pauFhYVRPVjfoV0bYuPimDP/M6KjYwgOCmTNis9x/f9Dmnfv3UOtfvygnJmZGZf/+JNNW7aRlJyEu5sbjRo04N1hb2NpAj/kn2/ThYS4GFYsmEpcTCT+gdWY9fkmnFx0IfLIe7dRqXL3R0ZaKnM+HEFU5F0sLa2o6BvA+9OX8Xwb3Uxy0VF3OfLjLgD6djGcQW3+FzsfeS7HGLVt9wLxcXHM/3QOMdHRBAUFs3TFl/phIffu3kWterLAbf+Bb5Gens6kCeNISkqiRng4S1d+iaWlVWE0oUB1bNuK2Ph4Zs5fTHRMLFWCKvP10oX6YWl37kU80Tlz37Zde1AU6NSudUFXuVBdIYPx2tzI9AolGhRoprJjuMqDODREP/B+Gg+VOZPU5ViujWa7koALpXhb5U6NB2ZHa6S2JVGbw9dKLPGKBl8smawuh6PKNL5mwpt0Izkxmh1rJpEUH0F53zDe/vh77Bx1w6fiom+ieuAYSYi9y8eDciMYezfOZu/G2VQKacy7M3/Up18+s4+4qJvUb5U77NNUtGn3AnFxsXz26SxioqMJDArmc4PryJ0nvo70GziI9PQ0Jk0YQ3JSEjXCa7F05VcmcR2p+Vw3UhKj2fnVJJLjIyjnG8bgKQ8dIw/sj8S4u0x/J/cY2b95Nvs3z8a/WmOGTdcdIxUDajFgwma2rxrP9998iLO7D10GzqVW0x5F27hnEFBzIJqcdM4cmEB2ZhLOZcNp0HGlwZTNqYk3yUzPnTq+fEA7MtNjufTzPDJTo7F3DaZBx5X6YWkA/tX7otFkcv7wx2RlJGLvEkjDzquxcTDOqJYwHipFUZTirkRR6NOnDzdu3GDuXMOHwh0dHQkODqZv374MGTKEP/74g/79+zN48GA++OADAAYOHMjZs2f59ttvsbGxwcnJ6bF+CCUlJWFvb8+F0yextbEpjGaZnJvZxv8OkKLmYpFQ3FUwKvY5//wy2v+iU1W7FXcVjMqdXZeLuwpG5Tnfu8VdBaNz4E8ZuvSgA3uuFXcVjEp2ZjI7Pq9OYmKifjSLqbj/2/L0mXPY2j7eu8oKSnJyMjWqhxr9fjONW2oF5ODBg1SvbjgGtF+/fuzatYtRo0YRGhqKk5MT/fr1Y8KECfo8I0eOpHfv3gQHB5Oens7ff/+Nt7d3EddeCCGEEEIIADVKkT86bxqP6v9nOjerVq1i1apV+X5+8mT+L3wMCAjg+PHjhVArIYQQQgghREH5z3RuhBBCCCGEKAmK46WapvIST9OILwkhhBBCCCHEv5DOjRBCCCGEEKJEkM6NEEIIIYQQJuT+sLSiXp7UwoUL8fb2xsrKijp16vzjM+4PWrduHSqVik6dOj3xNqVzI4QQQgghhChQ69evZ8SIEUyaNInTp08TGhpKq1atiIqK+sdy169fZ+TIkTRq9HTvFZTOjRBCCCGEECbEFCI3c+bMYcCAAfTt25fg4GCWLFmCtbU1K1euzLeMRqOhR48eTJ48GV9f36faN9K5EUIIIYQQQjyWpKQkgyUzM/ORPFlZWZw6dYrmzZvr09RqNc2bN//H16tMmTIFNzc3+vXr99T1k86NEEIIIYQQJqQ4IzdeXl7Y29vrl2nTpj1Sv5iYGDQaDe7u7gbp7u7uRERE5NmmI0eOsGLFCpYtW/ZM+0becyOEEEIIIYR4LLdu3cLOzk7/t6Wl5TOvMzk5mZ49e7Js2TJcXFyeaV3SuRFCCCGEEEI8Fjs7O4POTV5cXFwwMzMjMjLSID0yMhIPD49H8l+9epXr16/ToUMHfZpWqwWgVKlS/PHHH/j5+T1W/WRYmhBCCCGEECZEUVTFsjwuCwsLatasyf79+/VpWq2W/fv3U69evUfyBwYG8ttvv3H27Fn98sILL9C0aVPOnj2Ll5fXY29bIjdCCCGEEEKIAjVixAh69+5NeHg4tWvXZt68eaSmptK3b18AevXqRbly5Zg2bRpWVlZUrVrVoLyDgwPAI+n/Rjo3QgghhBBCmJCnfanms27zSXTr1o3o6GgmTpxIREQEYWFh7N69Wz/JwM2bN1GrC34QmXRuhBBCCCGEEAVuyJAhDBkyJM/PDh48+I9lV61a9VTblGduhBBCCCGEECWCRG6EEEIIIYQwIaYwLK24SORGCCGEEEIIUSJI5EYIIYQQQggTIpGb/EnkRgghhBBCCFEiSORGCCGEEEIIE6LwZC/VLKhtmgKJ3AghhBBCCCFKBOncCCGEEEIIIUoEGZYmhBBCCCGECdGiQlvEw8SKentPSyI3QgghhBBCiBJBIjdCCCGEEEKYEJkKOn8SuRFCCCGEEEKUCNK5EUIIIYQQQpQIMiytCJRJj6OMWWZxV8MorNtXtrirYHRmhv1U3FUwKvNiuhd3FYyO067LxV0Fo1KubWBxV8GoTB37Y3FXweiM63OvuKtgVNYuvl3cVTAqOdmpxV2FZ6YoxfCemyLe3tOSyI0QQgghhBCiRJDIjRBCCCGEECZEoegf8FeKdGtPTyI3QgghhBBCiBJBIjdCCCGEEEKYEHnmJn8SuRFCCCGEEEKUCNK5EUIIIYQQQpQIMixNCCGEEEIIE6KgKoYJBWRYmhBCCCGEEEIUGYncCCGEEEIIYUJkQoH8SeRGCCGEEEIIUSJI50YIIYQQQghRIsiwNCGEEEIIIUyIAmiLYZumQCI3QgghhBBCiBJBIjdCCCGEEEKYEJlQIH8SuRFCCCGEEEKUCBK5EUIIIYQQwoTISzzzJ5EbIYQQQgghRIkgnRshhBBCCCFEiSDD0oQQQgghhDAhMqFA/iRyI4QQQgghhCgRJHIjhBBCCCGECZEJBfInkRshhBBCCCFEiSCdGyGEEEIIIUSJIMPShBBCCCGEMCFaRbcU9TZNgURuhBBCCCGEECWCRG6EEEIIIYQwITKhQP4kciOEEEIIIYQoEaRzI4QQQgghhCgRZFiaiVqxbjMLVn9DVEwcVQL8mD52GDWqBeeZ95ttu3h74jSDNEsLC+78sl//t6IoTF+0gi837yApOYXaYdWY+d67+FX0KtR2FJTfjizjzMH5pCVH4Vy2Ks91noF7hZr55r9ybisnvv+Y5Pib2Lv4Ua/9B3gHtdR/fnLPNP46s5mUxDuYmZnjWj6MOm3ex6NieFE0p0As2bqXed/uJDIukWp+FZj9di9qBfrlmffL3T/xxsylBmmW5ubE7/5C/3dkXCLvL1vHvlO/kZiSRoOQyswZ0hv/8h6F2o6CcnzPIg7vmE1KQgQeFUPo0PdTvPxr55k38tZF9n37AXf+Pk1C9A3a9ZpNg3ZDDfIc3DKdiye3En33MuYWpakQUI/WPabhWrZyUTSnQBzcvpAfNs4iKS6C8r6hdBs0H5/AvPfJ3esX2bFmEjeunCIu8gYvvTGH518cZpBnfC8f4iJvPFK2cYe3eGXIwsJoQoG5oKSxWRvPVTKIQ8N4dVnqqWz+scxvShrLtdHcJAtXSvGyyonmanuDPDu1CWxW4ohHgw+WvKF2JUBVujCbUqAUReH8T7P468xasjOTcC0fTu0207Bz8v3Hcn/8uopLPy8mPSUaR/dgarX8EJdy1QHITI/n/E+zuXvtEGlJd7G0dsIroDWhjUdhYWVXFM16amu/WsUXyxcTEx1N5cBgxk/8kJDQ6nnm3btnF8uWfMbNG9fJycmmQkUf+vR7gxc6ddXniYmJZs6Mjzl29CeSkxKpWasu7038kIre/7x/jYmiKNz68wsib36HJjsFW6eq+FYdQWmb8vmWSYw9x92r60hJ/JPszFgqh3+Is0cjgzx/nZ1G9O09BmkOrrUIrjOzUNphahRFhaIU8bC0It7e0yrRkRuVSvWPywcffFDcVXwqW3bv5/1ZCxj1Rh8OrFtOlcr+vPTWu0THxudbxtamDBf3b9UvZ3ZvMPj8sy/WsuybTcyaMJI9X32OdenSvPzWu2RkZhZ2c57ZX2c2c2T7e9RqOYaXhx/CpWxVdix9kbTk6Dzz3/v7BD981Y+gOj15ecRP+FZty/df9CD23iV9HgdXf557cSbdRx6j85Dd2DpWYMfSF0lPiSmqZj2TjT/+zNglXzO+V2eOLfmIan4V6DjmE6LiE/MtY1emNNc2LNAvl9fO03+mKArdJs7l73tRfDtlOMc//4gKbi60GzWN1PSMImjRszl/7Ft2rRnJ813eZ/D0X/CsGMoXU9uSkhiVZ/7szDSc3H1o9cpUbB3y7rz9/ftP1G31Fm99dJTX39uNVpPNFx+3ISsjtTCbUmB+PbiejUvfpX2PiYxfeIryviF89l5rkhLy3idZmWm4ePrQ+fVp2DnlvU/GzT/JJ9/c1S9Dp/0AQI1GLxVaOwpKBgo+KkveVLs9Vv4IJZvJ2juEqKyZr67ACyoHPlMiOa3k/v8f1iazXInmFZUz89QV8FFZMlF7hwQlp7CaUeAuHV/E5V9WUqfNdFr32UEpc2sOfNMDTU7+5/31S9s4tW8yIY1G0LbfbhzdgjmwrgcZqbrrZ3pyJGnJkdR8/n3aD9xP/Q5zuXvtR37e+W5RNeupfL9zGzOmTmbQkBFs2LqbykHBvPF6D2Jj8/5esHdwYOBb7/D1t9vZvGMfnbt0Y8LYERw5fBDQXVffeet1bt+6yWeLV7Jx2x7Kli1Hv97dSUtLK7qGPaM7V7/h3t+b8Ks2gmoNF6M2K82lk6PQavL//aDVZFDGzg/fqsP+cd0OrrUJb75JvwRUn1jAtRclUYnu3Ny7d0+/zJs3Dzs7O4O0kSNHFncVn8riL9fT88UOvNqpHZX9fJg9YSSlraxYu3VnvmVUKhXuLs76xc3ZSf+Zoigs+fpbRgzoRdumjagS4M+ij94jIjqWXQcOF0WTnsnZnxZSpW5vgmq/hpNHIE26zKWUuTW/n/wqz/znDy+hQuXm1Gj6Dk7ulanTZgKu5UL57egyfZ6AGi/hFdAEe2dvnD2CaNjxY7Iykoi5e7GomvVM5m/8nr5tm9KrdWOCvMvx2bC+lLa0ZM3uQ/mWUaHCw8lBv7g75d6BvnI7gpO/X+HTYX0JD/QjwKss84f1JSMrm28PHC+KJj2TIzvnUuv5/tRs2gf38sF07L8ICwtrTv34RZ75y/vXos1rMwht0A0zc8s88/Qdv4uaTXrj7lUFT+9QugxaSULMTe5cO1WYTSkw+zbPpUHr/tRv1ZeyFYN59Z0lmFtac2zPyjzze1euRZcBM6nVpDul8tkntg6u2Dt56JffTnyHq6cfASGNC7MpBSJcVYaeahfqqWwfK/9uJQF3zOmndsVLZUl7tSMNVLZs0+beZNqqxNNKZUdztT0VVJYMUrlhiYq9SlJhNaNAKYrC7yeXU63hULwqt8LRPZj6L3xKWnIkt/7Yk2+5308swz/sVfxCu+HgGkCdttMxK1WaK+fWAeDgFkjjrssoH9ASW0dvPLwbEtZkDLf/2odWa7wdv9Url9G126t07toN/0oBTJoyHavSpdm8cV2e+WvXqU/zlm3w869EhYre9OzTn4DKQZz+9SQAN65f49zZ00ycMo1qIWH4+Pozccp0MjMy2PXd1iJs2dNTFIV7f2+kfKWeOHk0pIydH5XCxpGVEUNcxJF8yzm61aFCYH+cPRvlmwdArTbHwspZv5SyeLzz879AUYpnMQUlunPj4eGhX+zt7VGpVPq/U1NT6dGjB+7u7tjY2FCrVi327dunL3v58mWsra1Zu3atPu3bb7+ldOnSXLp0Ka/NFYms7GzO/f4njevmDrlSq9U0rhvOL+fz/+GdmpZOWOuuhLTswmtDx3H5yt/6z27cuUdUTByN6+QOubKztaFGtSB+/Yd1GgNNThbRt89SvlLujyeVWk35gMZE3DiZZ5mIG7/gFWD4Y8urcjMiruedX5OTxcXjq7GwssOlbNWCq3whycrO4cyff9O0RhV9mlqtplmNKpy4dCXfcinpGVR+ZSiVur/DS+/P4dL12/rPMrN1PzisLMwN1mlhXorjF/4shFYUnJycLO5eO41/tef1aWq1Gr9qz3Pzr58LbDuZabqoWGkbp3/JWfxysrO4+dcpgmo016ep1WqCqjfn2qWC2Sc52VmcOPA19Vv1RaUyjaEMT+KykkGYytogrQbWXEYX0chWFK6QQaiqjP5ztUpFmKoMfyjpRVrXp5WScJOM1Cg8vBvq0yys7HApV53oO3l34jWaLOLuncfTJ/dHq0qlxtOnITG38+/4Z2UkY25pg1ptnKPls7KyuHTxPPXq57ZLrVZTt35Dzp359xsaiqLw87HDXP/7KuG16urXCWBhkXuzQK1WY2Fhoe8AGbvMtHtkZ8bh4JL7m6SUuQ22DsEkxz/7b6XE2LOc/KETp3/sydXf5pCdlf/oAyHuK9Gdm3+SkpJC27Zt2b9/P2fOnKF169Z06NCBmzdvAhAYGMisWbMYNGgQN2/e5Pbt27z55pt88sknBAfn/WxLZmYmSUlJBktBi41PRKPR4Ops+APK1dmRqJjYPMv4e1dg/uSxfDlvGounTkCr1dKm91vcjdQNP7lfztXZ0aCcm7MTkTFxBd6GgpSRGoui1WBtaziUxNrGjbTkvIfXpCVHUtrmofy2j+a/fmk3n48rx5Kx7pz7aREvvLGV0jbOBduAQhCTmIxGq8Xd0XDsv5ujPZFxeX8xBHh5smTUAL79cAQrx72FVqvQ7J3J3I7WHRuVK3ji5ebMxOXriU9OJSs7h9nf7OBOdBwRcQmF3aRnkpYUg1arwcbe8P/cxt6N5ISIAtmGVqvlu9UjqFi5Ph4VjL8DnPL/fWLn4G6QbuvoRlJ8weyTs8e2kp6SQL2WfQpkfcYmnhwcHnps1UFlRhpaMhUtSWjQAo6YGebBjHg0RVjTp5eRqrsmWpVxNUi3KuNCRkre19fMtDgURYNVGZeHyriSnpr3UOGMtDguHJlHpbAeBVDrwpEQH4dGo8HZxbBdzs6uxETn3S6A5OQkwkMrERbszVsDejP+/Y+o3/A5AHx8/fEsW455s6eRmJhAVlYWyz9fSETEPaKj896/xiYrU/cbwdzS8DeJuaWj/rOn5eham0ph46lSdw4VgwaSFHuO30+MQVFM4/wpbFpUxbKYAuO8RVIEQkNDCQ0N1f/94YcfsmXLFrZv386QIUMAGDRoELt27eK1117DwsKCWrVq8fbbb+e7zmnTpjF58uRCr/uTqhValVqhuT+4aodWo37n11i9YTvjhvQvxpoZt3J+jej27mEyUmO59PNq9nzZh67v7Mfa1vXfC5uYOlUqUadKJf3fdatUonrf0az47gCT+r6EealSfDN5GG/NWka5Tm9gplbTtGYVWtYORTGVOHUh2r7ybSJvXeSNyfkP+/uvObZnJVVqtcHBuWxxV0U8pr8vbObErjH6v5t2W1Po28zKTObH9b2wdwkg5DnjfubmaZQpY8Om7T+QlprKieNHmDFtMuUrVKB2nfqYm5vz6cLlvD/uXeqHV8HMzIy69RvRqHEzo72uRt/ey9XfZuv/Dqo9vdC25VIuN9pexs6XMrZ+nP7xVRJjzxpEioR42H+2c5OSksIHH3zAzp07uXfvHjk5OaSnp+sjN/etXLmSgIAA1Go1Fy9e/MfhFePGjWPEiBH6v5OSkvDyKtjZxpwd7TEzMyM61vCOSHRsPG4ujxdVMDcvRbXASly7pRt2dL9cdGw8Hq65d6WiYuOoVrlSnuswFlZlnFGpzR6JuqSlRD0SzbnP2tad9IfuOqYlP5rf3LIMDpa+4OKLR8VafDWtBr+f/JKaz4/AmLnY22KmVhP50OQBUfGJBs/R/BPzUqUI9ffm2p1IfVqNAB9OLJ1KYkoaWTk5uDrY8dzgSdQI8CnQ+hc0azsX1GqzRyYPSEmMyneygCexfeU7/HF6JwM++BF75/xnBzImNv/fJ0kJkQbpyfFR2Dk++z6JjbzB72f28cb7m555XcbKkVIkYPh8SIKiwRo1lio1akWFGh6J0iSgeSSaYyzKV2qJS//cmb80Gt2wqYzUaKxtc6N8GakxOLpXeaQ8gKW1EyqVmX7ygNwy0ZR+KAKUnZnCgW96YG5RhsYvLUdtZo6xcnB0wszMjNgYw3bFxkbj4pr/DS+1Wk3FirprZFBwVa5dvcKyJQuoXac+AFWqhrB5x16Sk5PIzsrGydmZ7l3aU6VaSOE15hk4eTTAxjFI/7eizQYgOzMOC6vc3yDZmfGUsfMv0G1blSlLKQt7MlLvgHRuxD/4zw5LGzlyJFu2bGHq1KkcPnyYs2fPUq1aNf0Y2PvOnTtHamoqqamp3Lt37x/XaWlpiZ2dncFS0CzMzQkNCuCnE7ljfLVaLT+dOEWtkLy/bB6m0Wi49Nc13P/fqalYzhM3FyeDdSanpHL6t98Jf8x1FhezUha4lg/j9l+5d8wVrZbbf/2ER8W8p7T1qFjLID/A7T8P4uGdd379ehUtmhzjnz3OwrwU1QN8OHgm93kprVbLj2cuUif48b5sNBotF/++hYeTwyOf2dtY4+pgx5XbEZz+8xrtGxj3l0ypUhaU9a3Bld8O6NO0Wi1XLxygQqW6T71eRVHYvvIdLp3cSr/39+LkZtydvAeVMregQqWaXD6TOx28Vqvl8tn9+AY//T6579gPX2Dr4Ea1Ou2eeV3GKlBlxTnFcEarM6QRiBUA5ioV/lhx/oE8WkXhnJJGZSOdCtrc0gZbJx/9Yu8SgFUZNyKu5z4YnpWZTMydM7iWy/u8NzOzwMkzxKCMomiJuH4El/K5ZbIyk9n/zSuozSxo8vIqzEpZFV7DCoCFhQXBVUL4+Xhuu7RaLSeOHSG0+uNfA7VaLdkP/c4AsLW1w8nZmRvXr3HxwjmaPd+qQOpd0MxKWVO6TPncxcYbc0snEmJO6/PkZKeSnHAJW8e8h/A/rcz0KHKykrCwNP7h4UXh/lTQRb2Ygv9s5Obo0aP06dOHzp07A7pIzvXr1w3yxMXF0adPH9577z3u3btHjx49OH36NKVLF+8X01s9uzHk/amEVQmkRtUglny1gbT0dF7p1BaAQe99hKebC+8PfROAmUu+IDykCj4VypOYnMyCVd9w+14EPV9sD+hmUnuzx8vMWbYa34rlqVjOk2kLl+Ph6kzbZv88k4kxCHtuMPvXvYWbV3XcKtTk3E+LyclKJai2bvz2vrVvUMa+LPXaTQIgpNGbbF3UjjMHP8M7qBV/nd1E1O0zNHlpHgDZman8un82PlXaYG3rTkZqHL8dXUZq4j38QjsVUyufzDtd2zDgk8+pEeBDeKAfCzbtJi0jk56tdBMp9J++hLIujkzp3w2AqWu2UDvYH7+y7iSkpDLv253cjIyhT9um+nVuPnQCF3tbvNxcuPD3LUYt/JIODcJpHl6tWNr4JBq2G87GRX0p71eT8n61OLprPlmZqdRo0geADQv6YOdUllavTgV0kxBE3dY9DKvJySIp/g53r5/F0soGZw9dB3H7irc5d/QbXhu1GcvStvrnd6ys7TG3MM4frw9q/uJwVs3qQ8WAcLwr1+bAlnlkZaRSv2VfAL6Y0RsHl7J0fl33jqyc7Czu3fz/PsnOIiH2Dreu6vaJW7ncTrNWq+X4D6uo17wXZmam8xWTrmi5R+6Pzkglm2tkYIMZbipzVmujiSWHEWpPAFqrHPhOSeALbTTNVfacV9I4oiQzSV1Ov45OKkfmKhH4ay0JUFmxTUkgAy3NVcb9Lpf7VCoVQbX7c+HofGydfLFx8OLcoZlY27rjVTn3x/e+r1/GK6ANlWvpjp2gOgM4tn04Tp4huJStzu8nl5GTnY5fiO56k5WZzIG1r5CTk0Hjjp+RnZlMdmYyAJbWzqjVxhnZ6v36AMaPHk6VqiFUC6nOl6uWkZ6eTucuunaNG/UObu6eDB85DoBlSz6jStVQvCpUJCsri8OH9rNj2yben5z73rk93+/A0ckZT89y/PXnZaZ9NJFmzVvToJHxzzAIumPE06crt698Seky5bG09uTWHyuwsHLBySN3IoqLx0fg5NEQT58XAdDkpOkiMP+XmRZBauJflLKww7K0O5qcNG79uRpnz+cwt3QiI+0uN37/HKsy5XBwrVXk7RSmxXS+eQpYpUqV2Lx5Mx06dEClUvH++++j1WoN8rz55pt4eXkxYcIEMjMzqV69OiNHjmThwuJ9GV3n1s8TG5/A9EUriIqJo2plf75dNEs/vfPtiEjU6tzedUJyMsOnzCAqJg4HO1tCggPYtXoxlf1y7zS/3fdVUtPTeXfKTBKTU6hTvRrrF83CyjLvKV+NSaXqL5KeGsOJPVNJS4rCpVw12g/YpB9mlpxwG5UqN0jp6VOHFq8t58T3H/Hzrg9xcPWjTd+vcfbU3WVSqc1IiPqT3b98Q3pqLFZlnHDzqk7nwd/j7BGUZx2MTdemdYlOTOLDVZuIjE8kxK8iW6eP1g9LuxUVg/qBIZYJKakMnr2cyPhEHGzKUD3AmwPzJxHknftDLSI2gTGLvyYqPhEPJwdebdmQca91LvK2PY2Q+i+TmhTNvm8/IDkhAk/vUPqO24nt/x+oT4i9iUqde4wkx91lwZjc2QMP75jD4R1z8Al+jgGTdBGgE3uXALB88vM8qMtbK6jZpHdhN+mZhTfpRnJiNDvWTCIpPoLyvmG8/fH32Dnq9klctOE+SYi9y8eDauj/3rtxNns3zqZSSGPenfmjPv3ymX3ERd2kfqvXi64xBeAKGYzX5s4QuEKJBgWaqewYrvIgDg3RD7yfxkNlziR1OZZro9muJOBCKd5WuVPjgdnRGqltSdTm8LUSS7yiwRdLJqvL4agyna/e4HqDyMlO48Su0WRlJOHmVYtm3b8yiLQkx98gIz13qLR3cEcyU+M4f2gW6anROLpXoVn3ryhtoxu+FRfxGzF3zwCwbVEDg+11GvwzNg7G+fLoNu06EhcXx4JPZxETHU1gUBU+X/EVLi66dt27e9fguyYtLY0PPxhHZEQEllZW+Pr6MX3WfNq066jPEx0VxYypk4mJjcHV1Y0XOnXlzcHDirppz6Sc3ytoNRlc/W0WOdkp2DlVI7j2DNRmub8fMtLuGMx0lpLwBxd/Hq7/+/ol3e8q1/KtqBQ2DlRmpCVfI+r2HjTZKVhYOePgWguvyq+jNrMousYZseKYmtlIHwV7hEox1qfWCtiqVasYNmwYCQkJAFy/fp3XX3+dn3/+GRcXF8aMGcOGDRsICwtj3rx5rFmzhkGDBnHmzBkqVdI9d3Ly5EkaNmzItm3baNOmzb9uMykpCXt7e/4+uhtbmzL/mv+/YNI+47/LX9Rmhn1X3FUwKvNiuhd3FYyOk8N/dgRxnsq1DSzuKhiV9WN//PdM/zHj+hR3DYzLgOF/FXcVjEpOdion97QjMTGxUB4hKEz3f1tuORJFGZuirXtqShKdG7oZ/X4zndtHz6hPnz706dNH/7e3tzcHDhwwyDN48GD9v3v16kWvXr0MPq9du/Yjz+QIIYQQQgghjMN/pnMjhBBCCCFESaCgQini984U9faelox1EEIIIYQQQpQIErkRQgghhBDChGgV3VLU2zQFErkRQgghhBBClAgSuRFCCCGEEMKUFMdLNU3kJZ4SuRFCCCGEEEKUCNK5EUIIIYQQQpQIMixNCCGEEEIIE6IouqWot2kKJHIjhBBCCCGEKBEkciOEEEIIIYQJ0aJCW8Qv1Szq7T0tidwIIYQQQgghSgTp3AghhBBCCCFKBBmWJoQQQgghhAmRCQXyJ5EbIYQQQgghRIkgkRshhBBCCCFMiKKoUJSifcC/qLf3tCRyI4QQQgghhCgRJHIjhBBCCCGECdEquqWot2kKJHIjhBBCCCGEKBGkcyOEEEIIIYQoEWRYmhBCCCGEECZEpoLOn0RuhBBCCCGEECWCRG6EEEIIIYQwIQoqFIp4Kugi3t7TksiNEEIIIYQQokSQzo0QQgghhBCiRJBhaUIIIYQQQpgQLcXwnpui3dxTk8iNEEIIIYQQokSQyI0QQgghhBAmRKaCzp9EboQQQgghhBAlgkRuikCpzBTMzU1lpGLhmtbgcHFXwegomXIaPmhoxtTiroLRueH7enFXwahMHftjcVfBqHSb3rS4q2B0rnW+UNxVMCpuFVOLuwpGJTsrpbir8MwkcpM/idwIIYQQQgghSgTp3AghhBBCCCFKBBkPI4QQQgghhAnRKiq0iqrIt2kKJHIjhBBCCCGEKBEkciOEEEIIIYQJkQkF8ieRGyGEEEIIIUSJIJ0bIYQQQgghRIkgw9KEEEIIIYQwITIsLX8SuRFCCCGEEEKUCBK5EUIIIYQQwoQoCmglcpMnidwIIYQQQgghSgSJ3AghhBBCCGFCFEWFUsQv1Szq7T0tidwIIYQQQgghSgTp3AghhBBCCCEK3MKFC/H29sbKyoo6depw8uTJfPMuW7aMRo0a4ejoiKOjI82bN//H/PmRzo0QQgghhBAm5P5U0EW9PIn169czYsQIJk2axOnTpwkNDaVVq1ZERUXlmf/gwYO88sor/Pjjjxw/fhwvLy9atmzJnTt3nmi70rkRQgghhBBCFKg5c+YwYMAA+vbtS3BwMEuWLMHa2pqVK1fmmf/rr79m0KBBhIWFERgYyPLly9Fqtezfv/+JtisTCgghhBBCCGFCtMUwFfT97SUlJRmkW1paYmlpaZCWlZXFqVOnGDdunD5NrVbTvHlzjh8//ljbS0tLIzs7Gycnpyeqp0RuhBBCCCGEEI/Fy8sLe3t7/TJt2rRH8sTExKDRaHB3dzdId3d3JyIi4rG2M2bMGMqWLUvz5s2fqH4SuRFCCCGEEEI8llu3bmFnZ6f/++GoTUGYPn0669at4+DBg1hZWT1RWencCCGEEEIIYUKe5gH/gtgmgJ2dnUHnJi8uLi6YmZkRGRlpkB4ZGYmHh8c/lp01axbTp09n3759hISEPHE9ZViaEEIIIYQQosBYWFhQs2ZNg8kA7k8OUK9evXzLzZgxgw8//JDdu3cTHh7+VNuWyI0QQgghhBAmpDgjN49rxIgR9O7dm/DwcGrXrs28efNITU2lb9++APTq1Yty5crpn9n55JNPmDhxImvXrsXb21v/bI6NjQ02NjaPvV3p3AghhBBCCCEKVLdu3YiOjmbixIlEREQQFhbG7t279ZMM3Lx5E7U6dxDZ4sWLycrKomvXrgbrmTRpEh988MFjb1c6N0IIIYQQQpiQ4pwK+kkMGTKEIUOG5PnZwYMHDf6+fv36k28gD/LMjRBCCCGEEKJEkM6NEEIIIYQQokSQYWlCCCGEEEKYEFOYUKC4SOfGRC3bsIP5X20iMjaeqpV8mDnyLWpWqZxn3q+/28ugKXMN0iwtzIk6si3P/MOmfcYXW75n2vCBDHqlU0FXvVAs3biT+V9tJjIunqr+Psx89w3CqwTkmffr7/bx1kefGqRZWpgT/dNm/d9vTpnL2l0HDPI8X7cGW+ZNLvjKF5LPt+xh3rodRMYlUs2vArOH9iU8yD/PvF9+f5A3py8xSLO0MCdu75f6v1PSMpi4dC07jvxKXGIy3p5uvNWlNf07tijUdhSUz/edYN73R4lMTKGalzuzX2tHuF/5fPMnpKYzedN+tv16ifjUdCo4O/BJjza0DtUdV8npmUzZvJ8dp34nOimV0IqezOzRlpq+5YqqSc9s7VerWLl8CTHR0VQODOK9iR8SElr9X8vt+m4bI4cPplnzVixYvEKfrigKCz6dxYZvvyE5KZHqNWsxcfJUvL19C7MZBUpRFM7/NIu/zqwlOzMJ1/Lh1G4zDTunf27DH7+u4tLPi0lPicbRPZhaLT/EpZxuX2amx3P+p9ncvXaItKS7WFo74RXQmtDGo7Cw+ud3RRSXC0oam7XxXCWDODSMV5elnuqfZyv6TUljuTaam2ThSileVjnRXG1vkGenNoHNShzxaPDBkjfUrgSoShdmUwrUzm8Xs/nLOcTHRuBTKYQ3Rs0joGqtPPPu2bKCAzu/4sbViwD4B9Wg16APH8l/6+/fWTV/PBdOH0ajycHLN4hxM9bj5lGh0NtTEBRF4fLJ+Vy/9C3ZmUk4e9YgtPFkbBy8/7Hctd++4q8zK8hMi8beOZCQ597H0T0UgNSk2+z9slme5Wq1+pRy/m0KuhmiBDGazo1KpWLLli106tSpuKti9DbtPcT4ecuYO3YI4VUCWbRuK53feZ9TG5bi6uSQZxm7Mtb8umGp/m+VSpVnvh0/HuPXC3/g6epcGFUvFJv2Hmb8p8uZN2Yw4VUCWLRuOy8Om8ip9Uv+cX+c+jb3x3xee6N53Rosfn+Y/m8Lc/OCrXgh2njgGGMXfsmnI/pTK9ifhRt20XHkNM58NQc3R/s8y9iVKc2ZL3M7wQ8fImMXruHQmYuseG8wFT1c2f/LeYbNW4mniyPtGjzdXPRFZeOJ3xj7zW4+7d2BWn7lWbjnOB1nreHMJ+/gZvfoD7asnBw6zFyNq10Zvh7SjbKOdtyMTcDeOvdH2OCV27h0O5LlA7vg6WjLumPnaD9jFaemvk1ZJ+P8wfqg73du55OpU5g0ZRohodX5cvVyBr7+Gjt/OISzs0u+5e7cvsXM6R9SM7zOI5+tWLqIr9Z8wdQZcylf3ov582YxsO9r7Nh9AEvLJ3vDdHG5dHwRl39ZSf0O87Bx8OLcoZkc+KYHHd74EbNSebfh+qVtnNo3mTptpuNctjqXTy7nwLoevPDmT1iVcSE9OZK05EhqPv8+9q4BpCbe5sT3Y0lPieC5LsuKuIWPJwMFH5UlLVR2TNXe+9f8EUo2k7V3aKNyYKTKg3NKGp8pkTgppaihKgPAYW0yy5VoBqvcCFBZsV1JYKL2DkvU3jiojObnSL4O//Aty+eOYvC4hQRUrcX2bz5j4tvtWLLpAg5Obo/k/+3UIZ5r1Y2gkLqYW1qxafUsJg5py8Jvz+LsprsJcu/2Vcb0b0qLF/rw6hsTsbax4+bVS1hYmMb5AvDXmWVcPb+Gms9/grVdeX4/8SnHdrzO8698j1mpvN9cf/uvnVw4Mo3QJlNwdA/l6rlVHNvRj+av7sHS2hlrG09a9zlqUOb6pfVcObMC9wrPFUWzjJ5Wq1uKepum4ImeuenTpw8qlUq/ODs707p1a86fP//Y6/jggw8ICwt70nqKByxcu4XenVrzWoeWBPpWYN7YIVhbWfLljh/yLaNSqXB3cdIvbs6Oj+S5GxXD6NmLWTZlFOalzAqzCQVqwTdb6d2xFa+1b06gTwXmjRlEaStLvvxub75lVCoV7s6O+iWv/WFpYW6QxzGPH8HG6rNvd9K3fTN6tW1CkHd55r/bn9JWFqzZdTDfMiqVCg9nB/3i/lDH8OeLf9Kj1XM8V70KFT3deP2F5lTzq8ivv18t3MYUgM92H6Nv45r0eq4GQeXcmN+nA6UtzFnz0+k886/56QzxKemsf+dV6gVUpKKrI40CfQipoHurcnpWNlt/vcRH3VrSMNAbP3dn3uvcDF83J5YdOFmUTXtqq1Yu5aVur/Bi1274Vwpg0pTpWJW2YvPGdfmW0Wg0jH73bYYMfRcvL8O7yoqisGb1Ct4Y9A7PN29F5cBgps+cR1RUJPv37ins5hQIRVH4/eRyqjUcilflVji6B1P/hU9JS47k1h/5t+H3E8vwD3sVv9BuOLgGUKftdMxKlebKOd2+dHALpHHXZZQPaImtozce3g0JazKG23/tQ6vNKarmPZFwVRl6ql2op7J9rPy7lQTcMaef2hUvlSXt1Y40UNmyTRuvz7NViaeVyo7mansqqCwZpHLDEhV7laTCakaB2vr1p7Tq1I/mL/Smgm8wg8YtxNLKmr3bV+WZf+RHa2j30pv4Vg7DyzuQtyd8jlbRcu5k7qiALxdOpGb91vQdOh2/wOp4lvejTuMOeXaWjJGiKFw9t5rK4YPw9G2OvUsgNZvPICM1int/5/8dfPXsF1Ss8jIVg7pg5+RPWJMpmJWy4sbvGwFQqc2wKuNqsNy7tpey/m0oZVGmqJonTNQTTyjQunVr7t27x71799i/fz+lSpWiffv2hVG3f6QoCjk5xvmlUJiysrM5e/kKTWqF6dPUajVNaoXxy2+X8y2Xkp5O1Rd6E9y+F6+MnMLvV28YfK7Vahk4aRbvvNaFIL+KhVX9ApeVnc3ZP67QtFaoPu3+/jj52x/5lktJT6dKp9cJeqEv3Ud9xO/XbjyS58jpC/i2eY0aL7/J8E8WEZtoGl/AWdk5nPnzb5rWrKZPU6vVNK1ZjZMX/8y3XEp6BoEvDyGg6yBeHj+TS3/fMvi8bpUAdh49xd3oOBRF4dDpi1y5dY/na4UUWlsKQlZODmeu36NpFT99mlqtpmkVP05euZ1nmZ1nLlPb34vha77D++1PCB+/gJk7DqH5/22rHI0WjVaLpbnh3ebSFuYc/+tm4TWmgGRlZXHp4m/Urd9In6ZWq6lXvxFnz+Td4QNYtGAuTs7OdHnplUc+u33rJjHRUdR7YJ22tnaEhIZx9sypgm1AIUlJuElGahQe3g31aRZWdriUq070nbzboNFkEXfvPJ4+ue1WqdR4+jQk5nb+7c7KSMbc0ga12vgjFo/jspJBmMraIK0G1lwmA4BsReEKGYSqcn+YqlUqwlRl+ENJL9K6Po3s7CyuXD5NaJ3coVJqtZqw2s344/zPj7WOzIw0NDnZ2Ng7Abrv3V+Pfk+5ipWYOKQdr7Uox7u9G3D8YN5Dxo1RWtItMtOicS2f+8Z5c0tbHN1DiYs4m2cZrSaLhOiLuJavr09TqdS4lq+fb5mEqAskxvxOxaCueX4uxIOeuHNjaWmJh4cHHh4ehIWFMXbsWG7dukV0dDQAY8aMISAgAGtra3x9fXn//ffJzs4GYNWqVUyePJlz587poz+rVq3SrzsmJobOnTtjbW1NpUqV2L59u/6zgwcPolKp+P7776lZsyaWlpYcOXKEzMxM3nnnHdzc3LCysqJhw4b88ssvBnU+dOgQtWvXxtLSEk9PT8aOHWvQMWrSpAlvv/02w4YNw9HREXd3d5YtW6Z/i6qtrS3+/v58//33T7q7ClxsQhIajRY3J8NIg6uTA5GxcXmWqVShPAsnDGftrIksnTIKrVZLy/7vcicyRp9n7poNlCplxpvdOhZq/Qva/f3h+tD+cHN0IDI2Ps8y/hXLs/C9oXwzYwLLPhiBVqulxYDR3InK3R/N69Xk84nD2fHZR0wZ3JsjZy7QZfgHaDSaQm1PQYhN/P8x8tDwMzdHeyLjEvIsE+BVlsWj32T9xyNZMWEIWq3C84MncicqVp9n9tC+BHqXp1LXQTg8/xqdRk9jzrDXaRgaVJjNeWaxyWlotFrc7A3v9rnZlyEyMTnPMtej49n66yU0isKWET0Z27Ex878/xifbDgFgW9qSOv5efLL9EPfik9BotXxz9BwnrtwiIiHvdRqThPg4NBoNLi6uBunOzi7EREflWebUryfZvGEdUz6amefnMTG67wAXF8Mhbc4urvrPjF1Gqq7tVmUM94tVGRcyUvLeL5lpcSiKBqsyLg+VcSU9Ne92Z6TFceHIPCqF9SiAWhuHeHJweGiku4PKjDS0ZCpaktCgBRwxHBXggBnxGP91NSkhBq1Gg6OTu0G6g5Mb8bGRj7WOVZ+Nx8mlLGG1nwcgMS6K9LQUNq6aSY16LZmyYCd1m3Zk2qiX+e3UTwXehsKQkab73rSyNjz+LUu7kJmW9/GfmRGvO2ceLmOdf5kbv2/E1tEPZ88aBVDrkuH+hAJFvZiCZ7pllJKSwldffYW/vz/OzrpnNGxtbVm1ahVly5blt99+Y8CAAdja2jJ69Gi6devGhQsX2L17N/v27QPA3j73B9jkyZOZMWMGM2fO5LPPPqNHjx7cuHEDJycnfZ6xY8cya9YsfH19cXR0ZPTo0WzatInVq1dTsWJFZsyYQatWrbhy5QpOTk7cuXOHtm3b0qdPH9asWcPly5cZMGAAVlZWBm87Xb16NaNHj+bkyZOsX7+et956iy1bttC5c2fGjx/P3Llz6dmzJzdv3sTa2vDu1H2ZmZlkZmbq/05KMo47/bVDgqgdkvsDtE5IELVefoMvtuxiwpu9OPP7XyxZt52fvpyf77M4JUmdaoHUqRaY+3dIEOHdB7Fyy27ef+M1ALq2yB3TW8Xfmyr+PoR2GcDh0xdo8kCUqKSoUzWAOlVzJ2CoWzWAGr3eZcWOfUzs1w2AxZt388ulv9gwdRReHi4cPfc7I/7/zE2z8Gr5rdokabUKrrZlWND3BczUaqr7lOVufBLzdh1lfOemACwf2IW3VmzBf9gszNRqwip68lLdapy9freYa1/wUlNSGDtqKJM/noHjA9djU/f3hc2c2DVG/3fTbmsKfZtZmcn8uL4X9i4BhDz3bqFvTxiHDatmcPiHb5n6+V4s/v/8mVbRRYLrNO5Apx5DAfCtHMblc8fZvWkp1Woa37Mlt/7YztmDE/V/12u/9B9yFwxNTga3/txB5fBBhb4tUTI8cefmu+++w8ZG9+xBamoqnp6efPfdd6jVuiDQhAkT9Hm9vb0ZOXIk69atY/To0ZQuXRobGxtKlSqFh4fHI+vu06cPr7yiG+4wdepU5s+fz8mTJ2ndurU+z5QpU2jRooV++4sXL2bVqlW0aaObOWPZsmXs3buXFStWMGrUKBYtWoSXlxcLFixApVIRGBjI3bt3GTNmDBMnTtTXOzQ0VF/3cePGMX36dFxcXBgwYAAAEydOZPHixZw/f566devmuW+mTZvG5MmFO5uWs4MdZmZqouIMoxLRcQm4Oz/ejw7zUqUICfDj2m3dQ6LHz14kOj6BKi/01ufRaLS89+lyFq/bym/bVhVY/Qva/f0R/dD+iIpPwD2P52jyYl6qFKEBvvr9kRefch44O9hx7fZdo+/cONv//xiJTzRIj4pPfOQ5mvyYlypFqL83V2/r7kimZ2bxwbJ1rPvoXVrX0905q+ZXkfNXbvDp+u+MunPjbGuNmVpNVGKqQXpUYiru9nk/T+DhYEMpMzPM1LnB7cqerkQmppCVk4NFqVL4ujuxZ3w/UjOzSErPxNPBll4Lv8Xb7fGOu+Lk4OiEmZnZIxGV2NgYXFwfHet/8+YN7ty+xeA3+urTtP8folctsCI79xzSR4FiYmJwdcu9ux0bE01gUJXCaMYzK1+pJS79c2eH02iyAMhIjcbaNrcNGakxOLrn3QZLaydUKjMyUmMM0jNSoyn9UAQoOzOFA9/0wNyiDI1fWo7azHQmKfk3jpQiAcOh4gmKBmvUWKrUqBUVangkSpOA5pFojjGyc3BBbWZGfJxhlCYhLgpHZ/d8Suls/nIOm1bN5MNFu/GplDuM187BBTOzUlTwMYx+e/kEcunssYKrfAHy8GlGU/fc70Dt/XMmLQarMrnXjsz0GOxd8o7qW1o56s6ZNMNzJjMtBktr10fy37m6G01OBhUCOxdEE0oMmQo6f088LK1p06acPXuWs2fPcvLkSVq1akWbNm24cUP3zML69etp0KABHh4e2NjYMGHCBG7efLwx6CEhuSd9mTJlsLOzIyrKcChAeHjurExXr14lOzubBg0a6NPMzc2pXbs2v//+OwC///479erVM4hINGjQgJSUFG7fzh1v/+C2zczMcHZ2plq13B9s7u66i9fD9XnQuHHjSExM1C+3bt3KN+/TsjA3JyzQn0O/nNOnabVaDv16lloPRCP+iUaj4dLV63j8/8d/9zbNOLZ2IUe+WqBfPF2deee1Lmye/1GBt6EgWZibE1bZn4O/5E5qodVqOfTLOWpXy3tq7IdpNBouPrA/8nInKoa4xGQ8HrMDWZwszEtRPcCHg6cu6NO0Wi0HT1+gdj7TYz9Mo9Fy8e9beDg7AJCdk0N2juaRyJ6ZWq3/kWusLEqVorq3JwcvXdOnabVaDl66Rm3/vKeCrlupAtei4gzadiUyFg8HWyxKGd4TKmNpgaeDLfGp6ey7cIX21Y17mB6AhYUFwVWq8fPxI/o0rVbLz8eOEFb90WEfvn5+bNu5j83b9+iXps+3pHbd+mzevgcPz7KU96qAi6ubwTpTkpM5f+4sYdVrFkm7npS5pQ22Tj76xd4lAKsybkRcz21DVmYyMXfO4Fou7zaYmVng5BliUEZRtERcP4JL+dwyWZnJ7P/mFdRmFjR5eVW+M6+ZqkCVFeeUNIO0M6QRiK6d5ioV/lhx/oE8WkXhnJJGZROYCtrc3AL/wBqcP/mjPk2r1XLulx+pHJL3DU+ATatnsX75VD747DsqBRseQ+bmFlSqEs7tG4bPQt65+ReunsY5DbS5hQ02DhX1i62TP5bWrkTfPq7Pk52VQnzkOZw8wvJch9rMAgfXKgZlFEVL9O3jeZa5cWkjnj7NsCxt/N+/wjg8ceSmTJky+Pvnvitj+fLl2Nvbs2zZMtq1a0ePHj2YPHkyrVq1wt7ennXr1jF79uzHWrf5Q1PtqlSqR344lSlTOLNk5LXtB9Pu/6j7px9ylpaWWFrmPe1hQRr8amfemjyH6kGVqFklgEXrtpGanslr7XURrTcmzcLTzZkPBuvusn6yfC3hVQPx9fIkMTmV+V9t4lZEFL066iJiTg52ODkYTl1rXsoMd2dHKlXM/z0gxmLIK51488O5VA/yJzw4gEXrt5GWkcFr7ZoDMHDyHMq6OvPBIF1kavqKb6hVtTK+5cuSmJzCp19v4VZENL07tgQgJS2d6Su+4YWm9XF3cuTvOxFMXPAFvuU9eb6uaYz3ffvldgyctpjqgb6EB/qzcOMu0tIz6dmmMQD9P15IWVcnpgzURUqnrdpErSr++JXzICEljXnf7OBmRDR92usenrUrY02jsCDeW/I1pS0tqODhyuGzl1i75yemD+5ZbO18XG+3rs/AZVuo7lOWcF/dVNBpmVn0bKT7/+z/+SbKOtox5WXdOTSgWW0+33eSUV9/z5st6nA1IpaZO35iUIvcHzF7f/sLRYEATxeuRsby3vofCPB0oWejf39PjDHo8/pAxo0eTtWqoVQLCWPNquWkp6fTuYtuGOLYUUNxc/dgxMhxWFpaUSnA8OaJna3umvFgeq/e/fh80Xwqevvop4J2c3Pn+Ratiq5hz0ClUhFUuz8Xjs7H1slXPxW0ta07XpVz27Dv65fxCmhD5Vq6a2xQnQEc2z4cJ88QXMpW5/eTy8jJTscvRLcvszKTObD2FXJyMmjc8TOyM5PJztQ9m2Vp7YxabXyRi3RFyz2y9H9HKtlcIwMbzHBTmbNaG00sOYxQewLQWuXAd0oCX2ijaa6y57ySxhElmUnq3Pc+dVI5MleJwF9rSYDKim1KAhloaa4y/qnTATr1GMrcD/rhH1yDgCq12Lb2MzLSU2neQffdMmdiX5zdytJ7yMcAbFw1k68/n8zIj9bg7lmR+JgIAKysbShtrRsB82LPEcwY14OqNRpRLbwxp4/9wMnDO5n6+b7iaeQTUqlU+IX25s9Ti7Fx8P7/VNDzsCrjhqdP7jvQjmztRVnfFviG6L4v/ML6cnr/GBzdquLoFsLVc6vR5KRTIaiLwfpTEm4Qe/cX6rU3zinThXF65mlaVCoVarWa9PR0jh07RsWKFXnvvff0n9+P6NxnYWFRYA9l+/n5YWFhwdGjR6lYUTfDV3Z2Nr/88gvDhg0DICgoiE2bNqEoir6DcvToUWxtbSlf3vh/uOelS4vGxMYnMXXpl0TGxlMtwJfNn07RT2d8OzJaP9wOICEphaFTPyUyNh4HW1vCgvz5YflsAn2N887Qk+rSohExCYlMXfa1bn9U8mXT3Mm5+yMiGvUDEYeE5BTembbg//vDhrBAf/YunUGgj25/mKnVXLhynbW7DpCYnIqnixPN6lRnwsAeWFqYxjCSrs3qE5OQxEcrNxAZl0CIf0W2zhyrH5Z2OyoGtTp3n8SnpDBk5jIi4xJwsC1D9QBf9i+cQpB37jmyauJQJi39htc/WkB8UgoVPFyZ1L+7SbzEs2udasQkpfHR5gNEJqYQUsGDrSN74m6v+4FxOy7RYH+Ud7Zn26iejFm7mzoTFlHWwZbBLesyol3ujFhJaZlM2rCXO/FJOJYpTafwYCZ1bW4y06i3afcCcXGxfPbpLGKiowkMCubzFV/qh5fdu3sHterJgvv9Bg4iPT2NSRPGkJyURI3wWixd+ZXJvOMGILjeIHKy0zixazRZGUm4edWiWfevDCItyfE3yEjPncDFO7gjmalxnD80i/TUaBzdq9Cs+1eUttHty7iI34i5ewaAbYsaGGyv0+CfsXHwKoKWPZkrZDBemzu6YYUSDQo0U9kxXOVBHBqildxhaB4qcyapy7FcG812JQEXSvG2yl3/jhuARmpbErU5fK3EEq9o8MWSyepyOJrAO24AGrV8mcT4GL5eMoX42Ah8A0KZ/Nl3+mFp0RG3UD3w3fv9pqXkZGcxfUx3g/W8MmACr76he26lXtNODBq3kA2rZrB01nDKVQxg3CfrqRJmeJwYs0rVB6DJTufsj++TnZWEs2dN6ndYYfCOm9SkW2Rm5A4fL1+pHVnpcfx+Yr7uJZ4uQdRrv+KRSQZu/r6R0jYeuFVoiDCkBbRFPEzMuMdp5FIpyuOPoOvTpw+RkZF88cUXAMTHx7NgwQIWL17MgQMHSEpKokuXLnz55ZfUqlWLnTt3MnnyZDQaDQkJCQCsXbuWgQMHcuTIEcqXL4+trS2WlpZ5vsTTwcGBefPm0adPHw4ePEjTpk2Jj4/HwcFBn2fYsGFs2LCBFStWUKFCBWbMmMH27du5evUqjo6O3Llzh4CAAPr27cuQIUP4448/6N+/P4MHD9ZPKNCkSRPCwsKYN2+efr3e3t4MGzZM30mCJ3/RaFJSEvb29tw6sBE7m7wnIfivUWmNf1acomaWmfrvmf5Lruc/XfV/1Y36rxd3FYzK1FUlf+KTJ9FtetPiroLxOXHh3/P8h6z44npxV8GoZGelsHNZDRITE7GzM43I4X33f1vO3JhIaeuirXt6WhKjutob/X574tslu3fvxtNTF4a2tbUlMDCQDRs20KRJEwCGDx/OkCFDyMzMpF27drz//vsGs5J16dKFzZs307RpUxISEvjiiy/o06fPUzdg+vTpaLVaevbsSXJyMuHh4ezZswdHR91d+3LlyrFr1y5GjRpFaGgoTk5O9OvXz2DiAyGEEEIIIUyFoig8QXyiwLZpCp4ociOejERuHiWRm0dJ5OYhErl5hERuDEnkxpBEbvIgkRsDErkxVBIiNzM2JBRL5Gb0Sw5Gv99MY6CrEEIIIYQQApCpoP/JE08FLYQQQgghhBDGSDo3QgghhBBCiBJBhqUJIYQQQghhQhQtFPU7tBUTmQtaIjdCCCGEEEKIEkEiN0IIIYQQQpgQmVAgfxK5EUIIIYQQQpQI0rkRQgghhBBClAgyLE0IIYQQQggTolV0S1Fv0xRI5EYIIYQQQghRIkjkRgghhBBCCBMiEwrkTyI3QgghhBBCiBJBIjdCCCGEEEKYEEWroBTxQzBFvb2nJZEbIYQQQgghRIkgnRshhBBCCCFEiSDD0oQQQgghhDAhMhV0/iRyI4QQQgghhCgRJHIjhBBCCCGECZGpoPMnkRshhBBCCCFEiSCdGyGEEEIIIUSJIMPShBBCCCGEMCFarYK2iJ/wL+rtPS2J3AghhBBCCCFKBIncCCGEEEIIYUJkQoH8SeRGCCGEEEIIUSJI5EYIIYQQQggTIpGb/EnkRgghhBBCCFEiSOdGCCGEEEIIUSLIsLQioNLmoNLkFHc1jMLapPbFXQWj85zv3eKuglG56/BCcVfB6Fz+06q4q2BUxvW5V9xVMCrXOl8o7ioYnzpVi7sGRqXGmovFXQWjkpGWxM5lxV2LZ6NVFLRFPE6sqLf3tCRyI4QQQgghhCgRJHIjhBBCCCGECVG0uqWot2kKJHIjhBBCCCGEKBGkcyOEEEIIIYQoEWRYmhBCCCGEECZEQUEp4gf8FWRCASGEEEIIIYQoMhK5EUIIIYQQwoQoWtDKhAJ5ksiNEEIIIYQQokSQyI0QQgghhBAmRFGK4ZkbeYmnEEIIIYQQQhQd6dwIIYQQQgghSgQZliaEEEIIIYQJ0Sq6pai3aQokciOEEEIIIYQoESRyI4QQQgghhAlRtApKEYdSinp7T0siN0IIIYQQQogSQTo3QgghhBBCiBJBhqUJIYQQQghhQhRFtxT1Nk2BRG6EEEIIIYQQJYJEboQQQgghhDAhWq2Ctogf8C/q7T0tidwIIYQQQgghSgSJ3AghhBBCCGFCFEVBKeKHYIp6e09LIjdCCCGEEEKIEkE6N0IIIYQQQogSQYalCSGEEEIIYUIUrW4p6m2aAoncCCGEEEIIIUoEidwIIYQQQghhQrSKgraIH/Av6u09LYncCCGEEEIIIUoE6dwIIYQQQgghSgTp3JiopRt3UrVzf1wbd6Fpv5H8evHPfPN+vXM/dvVeMFhcG3cxyPPmh/MeydN52KTCbkaBObh9IeN7+TCkfWmmv1OXvy+fzDfv3esX+XxKV8b38uHNVmr2b573SB6tRsP21e/zXi9f3u5gzYQ+/uz8+kOTmeMdYO1Xq2jepC5hVfzo1qU958+deaxyu77bRnCl8gx5q59BuqIofDZvJs/Vr0H1qn683rs7169fK4yqF4pt65bQo00gbWo5MqTHc1z+7Zd88x7et5VBrzSgY0NP2tdx4Y2X67B3x1qDPIqisGrhFF5+3oe2tZ0YNbAdt29cKexmFKhD3y1kYl8fhnUqzczhdbn+R/7nzb0bF1n2cVcm9vVhSDs1P26dl2e+hJg7rJ7Zk9HdXRje2ZqPB4Vw469fC6kFBWvtV6to0aQO1av40v1fzpm9e3bxcuc21K0RRHiIPy92aMH2rRsN8sTERDN+9DCaNKhBzWp+DHy9BzdM6JwB2PntYvp1qMSL9W15t3cD/ryQ/3mzZ8sKxvRvSvembnRv6saEQa3zzH/r79/5cHhnujV2oWtDB4b3qkdUxM3CbEaBuKCkMUVzh96aq3TQ/MlxJeVfy/ympDFUc4POmr8YqPmbfdrER/Ls1CbQT3ONFzV/8a7mJn8q6YVR/UJz4odFzBnqz5Q+Nnw+sT63r+Z/HYm6fZF1815mzlB/JvYw59j3nz7zOv+r7r/npqgXU1BsnZuIiAiGDh2Kv78/VlZWuLu706BBAxYvXkxaWlpxVcskbNp3mPHzVzC2X3cOr5pLtUrevDh8EtFxCfmWsStjzV/frdYvF7csfyRP87o1DPKsnDKqEFtRcH49uJ6NS9+lfY+JjF94ivK+IXz2XmuSEqLyzJ+VmYaLpw+dX5+GnZNHnnn2fPsJh75bQvfBnzFp2SU695vODxtm8uO2zwqzKQXm+53b+WTqFAYNGc7Grd8TGBTMwNdfIzY25h/L3bl9i5nTP6RmeJ1HPluxdBFfrfmCSVOmsW7jDkqXtmZg39fIzMworGYUmB93b2TJrLH0fGM8S9Ydw7dyNca+1ZH42LyPEVt7J17tP5r5a35k6caTtOrYi5mT3uCXo3v1edZ/MYct3yxm6IT5LPjqEFalrRn71gtkmcD+ADj103q2LHuXNq9OZMz8U5TzCWHh+61J/qfzxsOHF/pMw84x7/MmLTmeOaMaoi5lzqDJu3hv8UVe7D8LaxvHwmxKgfh+5zZmTJ3MoCEj2LB1N5WDgnnj9R75njP2Dg4MfOsdvv52O5t37KNzl25MGDuCI4cPArofHu+89Tq3b93ks8Ur2bhtD2XLlqNf7+4m8x13+IdvWT53FK8MmMC8r07gExDCxLfbkRCX9zHy26lDPNeqG1OX/MDML37Cxb08E4e0JTbqjj7PvdtXGdO/KeW9KzP18718tu4U3fuNx8LCqqia9dQyUPBRWfKm2u2x8kco2UzW3iFEZc18dQVeUDnwmRLJaSVVn+ewNpnlSjSvqJyZp66Aj8qSido7JCg5hdWMAvXb8W/Z/fUomrw4gTc/OolHhRDWTG9HSmLex0h2ZhqObj606P4xNg55X0eedJ1CPKxYOjfXrl2jevXq/PDDD0ydOpUzZ85w/PhxRo8ezXfffce+ffuear0ajQat1kTmqXsGC77ZRu8XWvJa++YE+lRg3uhBlLa05Mvv8t9vKpUKd2dH/eLm9OiPDUsLc4M8jnY2hdmMArNv81watO5P/VZ9KVsxmFffWYK5pTXH9qzMM7935Vp0GTCTWk26U8rcMs881y4dJ7TeC1Sr0w4XD29qNupKcI2WXP8j/7uWxmTVyqW81O0VXuzaDf9KAUyaMh2r0lZs3rgu3zIajYbR777NkKHv4uVVweAzRVFYs3oFbwx6h+ebt6JyYDDTZ84jKiqS/Xv3FHZzntmmL+fT9sW+tO7Ui4p+QQyb8BmWVqXZvXVNnvnDaj1Hw+c7UtE3kLJevrzYYzC+lapy4cwxQLc/Nn+9gB4DxtCgaQd8A6ox5qPlxEbf4+iBHUXZtKd2YMtc6rfuT70WffGsEEz3IUuwsLLm+A95nzcVA2rRud9Mwhvnf97s3fgJjq5e9By+Eu/KtXHx8CGoRktcPf0KsykFYvXKZXTt9iqdDc6Z0vmeM7Xr1Kd5yzb4+VeiQkVvevbpT0DlIE7/qrvDfOP6Nc6dPc3EKdOoFhKGj68/E6dMJzMjg13fbS3Clj29rV9/SqtO/Wj+Qm8q+AYzaNxCLK2s2bt9VZ75R360hnYvvYlv5TC8vAN5e8LnaBUt504e0Of5cuFEatZvTd+h0/ELrI5neT/qNO6Ag9PjdRiKU7iqDD3VLtRT2T5W/t1KAu6Y00/tipfKkvZqRxqobNmmjdfn2arE00plR3O1PRVUlgxSuWGJir1KUmE1o0Ad+34eNZv2o0bjPriVD6bD64swt7Tm9KFVeeYv51eLVq9+QrV63ShVKu/ryJOu879Kq1WKZTEFxdK5GTRoEKVKleLXX3/l5ZdfJigoCF9fXzp27MjOnTvp0KEDAHPmzKFatWqUKVMGLy8vBg0aREpKbhh41apVODg4sH37doKDg7G0tOTmzZv88ssvtGjRAhcXF+zt7WncuDGnT582qMPly5dp2LAhVlZWBAcHs2/fPlQqFVu3btXnuXXrFi+//DIODg44OTnRsWNHrl+/XhS7KF9Z2dmc/eMKTWuF6dPUajVNaoVy8sLlfMulpKdTpXM/gjq+TvfRH/H7tUeHABw5fQHftj2p0e0ths9YRGyi8V9cc7KzuPnXKYJqNNenqdVqgqo359qln596vb7B9bh89gCRt3XD/W5fPceVi0eoUqv1M9e5sGVlZXHp4m/Urd9In6ZWq6lXvxFnz5zOt9yiBXNxcnamy0uvPPLZ7Vs3iYmOot4D67S1tSMkNIyzZ04VbAMKWHZ2Fn/+foYadZvq09RqNTXqNuPS+RP/Wl5RFE6f+JHb1/8ipGZDAO7duU5cTCQ16uSu08bWnqBqtR5rncUtJzuLW1dOUTnM8LypHNacvy8//Xnz24kdVPCvyYqpLzP2VXemv12Do7uXFUSVC5XunDlvcHyr1Wrq1m/Iucc4vhVF4edjh7n+91XCa9XVrxPAwiL3B5xarcbCwkLfATJm2dlZXLl8mtA6zfRparWasNrN+OP84x0jmRlpaHKysbF3AkCr1fLr0e8pV7ESE4e047UW5Xi3dwOOH9xWKG0obpeVDMJU1gZpNbDmMrrobraicIUMQlVl9J+rVSrCVGX4wwSGpuXkZHHv79P4VX1en6ZWq/Gr2ozbfz3ddaQw1in+e4q8cxMbG8sPP/zA4MGDKVOmTJ55VCoVoDug58+fz8WLF1m9ejUHDhxg9OjRBnnT0tL45JNPWL58ORcvXsTNzY3k5GR69+7NkSNH+Pnnn6lUqRJt27YlOTkZ0N2h7tSpE9bW1pw4cYKlS5fy3nvvGaw3OzubVq1aYWtry+HDhzl69Cg2Nja0bt1a/6X1sMzMTJKSkgyWghabkIRGo8XVycEg3c3JgcjYhDzL+Fcox8Lx7/DNJ++xbNIItFqFFgNHcycqd7hF87o1+HziMHbM/5Apg3pz5MxFugyfjEajKfA2FKSUpBi0Wg12Du4G6baObiTFRzz1elt1G0utxt34oH8Qg9pa8PHgGjzfeSh1mvV41ioXuoT4ODQaDS4urgbpzs4uxETnHdY/9etJNm9Yx5SPZub5eUxMNAAuLi6G63Rx1X9mrBLjY9BqNDg6Gx4jjs5uxMdE5lsuJTmR9nVdaR1uz3tDXmTw2NnUrKf7wr1fztHZ8G6zg7Mbcf+wTmNx/7yxfei8sXN4tvMmJuIah3ctwbWcP4M/3E3Dtm+y8fOh/Lxv9bNWuVDdP2ecHz6+nV2Jic7/+E5OTiI8tBJhwd68NaA349//iPoNnwPAx9cfz7LlmDd7GomJCWRlZbH884VERNwjOp/z0JgkJfz/vHEyPEYcnNyIj328Y3zVZ+NxcilLWG3deZMYF0V6WgobV82kRr2WTFmwk7pNOzJt1Mv8duqnAm9DcYsnB4eH3rjhoDIjDS2ZipYkNGgBR8wM82BGPMb93QuQlqy7jpSxN7wOlrFzJznx6a4jhbHOkkpRimcxBUX+npsrV66gKAqVK1c2SHdxcSEjQ3c3Y/DgwXzyyScMGzZM/7m3tzcfffQRb775JosWLdKnZ2dns2jRIkJDQ/VpzZrl3mkCWLp0KQ4ODhw6dIj27duzd+9erl69ysGDB/Hw0I35/Pjjj2nRooW+zPr169FqtSxfvlzf2friiy9wcHDg4MGDtGzZ8pG2TZs2jcmTJz/lnik8daoFUqdaYO7fIYGEdx/Eyi27ef+N1wDo2uI5/edV/L2p4u9NaNeBHD59gSa1Qh9ZZ0l36qdvOXlgLa+P/ZqyFatw6+pZNiwZjr1zWeq16F3c1StQqSkpjB01lMkfz8DRyam4q2M0rMvY8vm3P5OelsKZEwdZMnssnuV9CKv13L8X/o9SFC0V/MN5ofdUALz8qnPvxgWOfP85dZuXrPMGoEwZGzZt/4G01FROHD/CjGmTKV+hArXr1Mfc3JxPFy7n/XHvUj+8CmZmZtSt34hGjZuZzEO5z2LDqhkc/uFbpn6+FwtL3fM02v+/3rxO4w506jEUAN/KYVw+d5zdm5ZSraacW0KIZ2c0L/E8efIkWq2WHj16kJmZCcC+ffuYNm0aly9fJikpiZycHDIyMkhLS8PaWhfqtbCwICQkxGBdkZGRTJgwgYMHDxIVFYVGoyEtLY2bN3VDsf744w+8vLz0HRuA2rVrG6zj3LlzXLlyBVtbw7G1GRkZXL16Nc82jBs3jhEjRuj/TkpKwsvL6yn3SN6cHewwM1M/MnlAVFwC7s4Oj7UO81KlCA3w5dqde/nm8SnngbODHddu3zPqzo2NnQtqtRlJCYZ3EpPjo/J96PlxbF42mlbdxlCrSXcAyvlUIy7qBrvXTTf6zo2DoxNmZmaPRFRiY2NwcX10XPvNmze4c/sWg9/oq0+7/+xatcCK7NxzSB8FiomJwdUt905ubEw0gUFVCqMZBcbe0QW1mdkjd5vjY6NwdHHPp5Quclyugu5ZEf/AUG7+fZlvVswirNZz+nLxsVE4u3rqyyTERuFXOSTP9RmT++dN8kPnTVLCs503do6eeFQIMkjz8Ari7LHNT73OonD/nImNMZw8IDY2GhdX13xK6Y6RihV9AAgKrsq1q1dYtmQBtevUB6BK1RA279hLcnIS2VnZODk7071Le6pUM/5jxM7h/+dNnOExkhAX9UgU9GGbv5zDplUz+XDRbnwq5bbVzsEFM7NSVPAxPEa8fAK5dPZYwVXeSDhSigQMJwZIUDRYo8ZSpUatqFDDI1GaBDSPRHOMkbWt7jqS+tCD/qlJkdjaP911pDDWKf57inxYmr+/PyqVij/++MMg3dfXF39/f0qXLg3A9evXad++PSEhIWzatIlTp06xcOFCAINhYaVLl9ZHVu7r3bs3Z8+e5dNPP+XYsWOcPXsWZ2fnfIeT5SUlJYWaNWty9uxZg+XPP//k1VdfzbOMpaUldnZ2BktBszA3J6yyPwd/PadP02q1HPr1PLWrBv5DyVwajYaLV2/g4Zz/Xfo7UTHEJSbj4WLcsxyVMregQqWaXD6zX5+m1Wq5fHY/vsF1n3q9WZlpqFSGp4dabYaiGP+EFRYWFgRXqcbPx4/o07RaLT8fO0JY9RqP5Pf182Pbzn1s3r5HvzR9viW169Zn8/Y9eHiWpbxXBVxc3QzWmZKczPlzZwmrXrNI2vW0zM0tCAiqzukTB/VpWq2WMyd+JDjk0Vnh8qPVasnO1t148SznjZOLO2ceWGdqShK///bLE62zuJQyt8DLvyZ/nDU8b/48ux+fwKc/b3yDGxB1x3Ba+qg7f+LkWvGp11kUdOdMyCPnzIljRwh9guNbq9WSncf3jK2tHU7Ozty4fo2LF87R7PlWBVLvwmRuboF/YA3On/xRn6bVajn3y49UDsn/GNm0ehbrl0/lg8++o1Kw4b4zN7egUpVwbt8wPEbu3PwLV0/DSUxKgkCVFecUw5nxzpBGILpIlrlKhT9WnH8gj1ZROKekUVlVukjr+jRKlbLA06cG1y7mThih1Wq5duFHyld6uutIYayzpFIUBUVbxIuJRJ2LPHLj7OxMixYtWLBgAW+//Xa+z92cOnUKrVbL7NmzUat1PzK//fbbx9rG0aNHWbRoEW3btgV0EwPEPHBHrnLlyty6dYvIyEjc3XV3oH75xXAWrBo1arB+/Xrc3NwKpZPyLIa80pE3P5xH9UB/wqsEsGjddtIyMnitvW5c88DJcynr6sQHg3QRhukr1lGramV8y3uSmJLKp19v5lZENL1f0A3DS0lLZ/qKdbzQtB7uzo78fTuCiQtX4Vvek+frPPpj2Ng0f3E4q2b1oWJAON6Va3NgyzyyMlKp31IXifhiRm8cXMrS+fVpgO5h6ns3LwGgyc4iIfYOt66exdLKBrdy/gBUq9uB79dNxcmtAp4Vq3Dr6hn2bZ6rX6ex6/P6QMaNHk7VqqFUCwljzarlpKen07lLNwDGjhqKm7sHI0aOw9LSikoBhh1jO1vdMf9geq/e/fh80XwqevtQvrwX8+fNws3NnedbGP8PtS4932HG+wOoXKUGlauGs/mrBWSkp9G6U08Apr/XHxe3svQfOgWAtStmUjm4Bp5evmRnZXLy8B727fyGoe/p3smgUql4sccQvl72CeUq+uFRzptVC6fg7OpJg2Ydiq2dT6JZ5+F8OacPFSqF4x1Qmx+3zSMzI5W6LXTH+JrZvbF3LkvHPrnnTcT/z5ucHN15c/vqWSxL2+BaVnfeNOs0jNkjG7Bn/VRqNHqZ63+e5OjuZbzy9ufF08gn0Pv1AYwfPZwqVUOoFlKdL1ctMzhnxo16Bzd3T4aPHAfAsiWfUaVqKF4VKpKVlcXhQ/vZsW0T70+epl/nnu934OjkjKdnOf768zLTPppIs+atadCocbG08Ul16jGUuR/0wz+4BgFVarFt7WdkpKfSvIPuu2XOxL44u5Wl95CPAdi4aiZffz6ZkR+twd2zIvExumckrKxtKG2tm33zxZ4jmDGuB1VrNKJaeGNOH/uBk4d3MvXzp5sltSilK1rukdt5jVSyuUYGNpjhpjJntTaaWHIYodZFc1urHPhOSeALbTTNVfacV9I4oiQzSV1Ov45OKkfmKhH4ay0JUFmxTUkgAy3NVcb1uyM/9dsMY8vnr1PWpybl/WpxfPd8sjJTqdFYd4xsWtwHO8dytOiuO0ZycrKIvv3/79+cLJLj73Lv+lksrGxw9vB/rHUK8W+KZVjaokWLaNCgAeHh4XzwwQeEhISgVqv55ZdfuHz5MjVr1sTf35/s7Gw+++wzOnTowNGjR1myZMljrb9SpUp8+eWXhIeHk5SUxKhRo/QRIYAWLVrg5+dH7969mTFjBsnJyUyYMAHIncygR48ezJw5k44dOzJlyhTKly/PjRs32Lx5M6NHj6Z8+fIFv2MeU5fmjYiJT2Tq8rVExsZTrZIvm+Z+oJ/e+XZkNGp1bjQrITmFd6YvIDI2HgdbG8IC/dm79BMCfXR3yszUai5cvc7a7w+QmJyKp4sTzeqEMWFgDywtzIuljU8ivEk3khOj2bFmEknxEZT3DePtj7/HzlHXcY2LvolKnRuFSYi9y8eDcjttezfOZu/G2VQKacy7M3V3KbsPms/21e/zzYLBJCdEYe9clkZtB9Kux8SibdxTatPuBeLiYvns01nEREcTGBTM5yu+1A8vu3f3DmrVkwVu+w0cRHp6GpMmjCE5KYka4bVYuvIrLC2N//0UTVt3JTE+mlWLPiQ+JhK/yiFMW7RVP7wmKuKW/iYKQEZ6KvOnDiM68g6WlqXx8glg7Mcradq6qz5Pt74jyEhPZe6UIaQkJ1K1en2mL9qmf77A2NV8rhspidHs/GoSyfERlPMNY/CUh86bB46RxLi7TH8n97zZv3k2+zfPxr9aY4ZN1503FQNqMWDCZravGs/333yIs7sPXQbOpVZT45+Io027jsTFxbFAf85U4fMVXz1wztw12B9paWl8+ME4IiMisLSywtfXj+mz5tOmXUd9nuioKGZMnUxMbAyurm680Kkrbw4eVtRNe2qNWr5MYnwMXy+ZQnxsBL4BoUz+7Dv9eRMdccvg2vr9pqXkZGcxfUx3g/W8MmACr76hu3bWa9qJQeMWsmHVf0PlZQAAVpxJREFUDJbOGk65igGM+2Q9VcIaFF3DntIVMhivva3/e4USDQo0U9kxXOVBHBqiH3g/jYfKnEnqcizXRrNdScCFUrytcqfGA7OjNVLbkqjN4WsllnhFgy+WTFaXw1FlNE8N/KNq9V4mLTmaAxsnk5IYgUfFUHqO+Q4be90xkhh7y+C8SY6/y+L3aun/PrpzDkd3zsE76Dlen7D/sdYpdBRFQVvEkRRTidyolGKq6b1795g6dSo7d+7k9u3bWFpaEhwczEsvvcSgQYOwtrZm7ty5zJw5k4SEBJ577jl69OhBr169iI+Px8HBgVWrVjFs2DASEhIM1n3mzBkGDhzIhQsX8PLyYurUqYwcOZJhw4bpJym4fPky/fv355dffsHX15eZM2fSoUMHdu/eTatWujvRERERjBkzhl27dpGcnEy5cuV4/vnnmTVr1mNFc5KSkrC3t+f2vnXYlbH+1/z/BWuT2hd3FYzOc753i7sKRuVumkxq8LDLt02jw1RUmgbk/7zgf9G1xPyfC/rPqlO1uGtgVM6suVjcVTAqGWlJTB3gTGJiotGNzvk3939bDpx2Cwuroq17VkYSS8d5Gf1+K7bOjbE5evQoDRs25MqVK/j5FcwL56Rz8yjp3DxKOjeGpHPzKOncGJLOjSHp3ORBOjcGpHNjSDo3T8dUOjemEfcsBFu2bMHGxoZKlSpx5coVhg4dSoMGDQqsYyOEEEIIIURhuP+Qf1Fv0xT8Zzs3ycnJjBkzhps3b+Li4kLz5s2ZPXt2cVdLCCGEEEII8ZT+s52bXr160atXr+KuhhBCCCGEEE9EIjf5K/L33AghhBBCCCFEYZDOjRBCCCGEEKJE+M8OSxNCCCGEEMIUaRXdUtTbNAUSuRFCCCGEEEKUCBK5EUIIIYQQwoTIhAL5k8iNEEIIIYQQokSQyI0QQgghhBAmRFEUFKWIIzdFvL2nJZEbIYQQQgghRIkgnRshhBBCCCFEiSCdGyGEEEIIIUyIVgtarVLEy5PXc+HChXh7e2NlZUWdOnU4efLkP+bfsGEDgYGBWFlZUa1aNXbt2vXE25TOjRBCCCGEEKJArV+/nhEjRjBp0iROnz5NaGgorVq1IioqKs/8x44d45VXXqFfv36cOXOGTp060alTJy5cuPBE25XOjRBCCCGEECbk/oQCRb08iTlz5jBgwAD69u1LcHAwS5YswdrampUrV+aZ/9NPP6V169aMGjWKoKAgPvzwQ2rUqMGCBQueaLvSuRFCCCGEEEI8lqSkJIMlMzPzkTxZWVmcOnWK5s2b69PUajXNmzfn+PHjea73+PHjBvkBWrVqlW/+/EjnRgghhBBCCPFYvLy8sLe31y/Tpk17JE9MTAwajQZ3d3eDdHd3dyIiIvJcb0RExBPlz4+850YIIYQQQggTomgVFG0Rv+fm/9u7desWdnZ2+nRLS8sirce/kc6NEEIIIYQQ4rHY2dkZdG7y4uLigpmZGZGRkQbpkZGReHh45FnGw8PjifLnR4alCSGEEEIIYULuR26KenlcFhYW1KxZk/379+vTtFot+/fvp169enmWqVevnkF+gL179+abPz8SuRFCCCH+1959h0VxfX0A/85SRXoTkF4sgIqADSxYsIPGmjc/a2LXqDHGHrvR2E2MBjUaY4wae9fYa1QIarAgqAiiIIL0zu55/yA7sgETo8Cyy/k8D0+ys3d2z4x3Z+bMLcMYY6xcTZo0CYMHD4avry+aNm2K1atXIzs7G0OHDgUADBo0CLVr1xbH7EyYMAFt2rTBihUr0K1bN+zcuRNhYWHYsGHDf/peTm4YY4wxxhhTITIQZP9xauby+M7/on///nj58iVmz56NxMREeHl54cSJE+KkAXFxcZBIXnci8/Pzwy+//IJZs2ZhxowZcHNzw4EDB+Dp6fmfvpeTG8YYY4wxxli5GzduHMaNG1fme+fPny+1rG/fvujbt+97fSePuWGMMcYYY4ypBW65YYwxxhhjTIUocyroqo5bbhhjjDHGGGNqgVtuGGOMMcYYUyFEBKrkCQUq+/veFSc3lWBVZDvo1Pjnhx1VF+GXIpQdQpXztHVdZYdQpeTlFik7hCon5sFjZYdQpfyyPl7ZIVQplg7Zyg6hyvH+6a6yQ6hSGg/yUHYIVUoOSZUdAqtA3C2NMcYYY4wxpha45YYxxhhjjDEVQjKCjCcUKBO33DDGGGOMMcbUArfcMMYYY4wxpkJ4Kug345YbxhhjjDHGmFrglhvGGGOMMcZUCE8F/WbccsMYY4wxxhhTC5zcMMYYY4wxxtQCd0tjjDHGGGNMhZBMBpLJKv07VQG33DDGGGOMMcbUArfcMMYYY4wxpkJkSniIZ2V/37vilhvGGGOMMcaYWuDkhjHGGGOMMaYWuFsaY4wxxhhjKoSfc/Nm3HLDGGOMMcYYUwvccsMYY4wxxpgKIRmBKnmAf2V/37vilhvGGGOMMcaYWuCWG8YYY4wxxlQIt9y8GbfcMMYYY4wxxtQCJzeMMcYYY4wxtcDd0hhjjDHGGFMhMsggI1mlf6cq4JYbxhhjjDHGmFrglhvGGGOMMcZUCMkqf4B/JTcUvTNuuWGMMcYYY4ypBU5uGGOMMcYYY2qBu6UxxhhjjDGmQvg5N2/GLTeMMcYYY4wxtcAtN4wxxhhjjKkQIgJRJbfcVPL3vStOblRU2Nnvcf3ESmSlv0Atu4bo+NFK2Dg3eWP5+6F7ceHAPKQnx8K0liva9lkE14adxfcL8rJwbu8sRN08jNysFBiZO6JJh7HwDhheGZtTLogID2+tQ3zUPhQWZMLE0gvuLWaipqHDP64Xe38nYu5sRUFuMgxM66B+s2kwtmggvp+T8RSRYSuQ+uIWZLICWNT2R/1m06BTw6yiN+m9hJ35HtdK1pH/rUTtf6sj++ch7a860q5v6Tpyds/rOmJs7gjfDmPh01Y16sjNCyEIO70G2RkvYFG7Adr1Ww5rR983ln8Qvg9XjixARkocTCxd0KrHAjh7dhLfP/HTSNy9vl1hHcf6HdB73IGK2oRyR0S4f30NYu7sQmF+BsxsfNC47XzoGzv+43qPbm9DdPgm5OW8hJF5fTRqMxumVo0UyqQkhOPe7yvxKvE2BEECIwt3tOy5BRqauhW4Re+HiPA0agtexB2BtDALBqaecPachBr6tm9cJz3lNp4/2oms9CgU5qegru8CmFm1UigTfWsxXsafVFhmbNEE7s2WVch2lCciQuSNb/Dk3q/FdcTaG43azPvXOvI44mdE3/wB+TkvYWRWDw1bfwmTWsV1JDsjHqe2tStzvSad1qC2a5fy3oxyc/23dbhydCWy0hNRy74hug1eDVuXpmWWTYq/i7N75uF5TDjSkmPRecBy+HWZ8F6fWZXcoRzsk6XiEfLwClLMkNighaD/j+tEUA42yV4iDgWwgCb6CaboIDFSKHNUloZ99AqpkMIJOhgpsUAdoUZFbgpTMyrZLS0gIAATJ04UXzs6OmL16tX/uM7cuXPh5eVVoXFVlns3duPMriloGTwTH8+5Bku7Bti5KgjZGUlllo9/+DsObBgEr1ZD8Mmc66jTOAh71vZFUvxdsczpXVPw+M5vCB62GSMW3kLTwHE4uX0iom4dqazNem8xd7Yg9t4OuLeYhRbdfoaGZg2E/TYa0qL8N66TEHMCkaHL4eo1En7BO2FgWhdhp0YjPzcFAFBUmIPQU6MgQEDTzhvRvOtWyKSFCD/zKagKz4l478ZunN41Ba2CZ+ITeR1Z+c91ZH/IIDRqNQTD5hbXkd3fKtaRUzuL60iP4ZsxctEtNJHXkZtVv45E/rEHF/ZNR4uu0zFw2mVY2Hpi79qeyMkse388e3wNR7cMRYMWgzFw+hW4NuyOgxs+RPLzuwrlHN0DMeqrR+Jft4+3VMbmlJuoPzbg0a2taNx2Ptr23wtNzRq4fGDoP/5m4qOOIuLSV6jX7FO0+/AgjMzr4crBocjLSRHLpCSE48rBj2Fp3xJt++9F2w/3w6XhAABCJWzVu3v2aAcSYvbCpcEkNGi5HhKNGrh34wvIpG/eHzJpHmoausDZc+I/fraxRVP4dtgr/tVpPLuco68Y0Tc34tGfP8GrzTy06bMbGpp6uHr443+uI9FHcefyYtRrMg4B/Q7A0Lwerh7+BPl/1RE9fWt0HnJF4a9e0/HQ1KqJWvatK2vT/rOI33/Fie1fIKDXLIxaeANW9g3x05JuyEov+zhSmJ8DE0snBH64CPrGVuXymVVJHghOgg5GSSzfqnwiFWKe7BkaCnr4RmKPYMEY39ILhFO2WOaSLBOb6CX+TzDDaok9nAQdzJY9QxoVVdRmqCyZTKaUP1XwXslNYmIiPv30Uzg7O0NHRwd2dnYICgrCmTNnyiu+txIaGooRI0aIrwVBwIEDBxTKTJ48udLjqig3fvsGXq0/RqOWg2FhUx9dBq6FprYebl/eWmb50NPfwcWzI5p3ngRzm3po88FcWDk0xh9n14tl4h9eQwO/AXCo1wbG5o5o3GYYatk1xPPHoZW1We+FiBB7bztcGg1HLfu2MDCtgwatFiI/5yWS4s6+cb0nd7fBrk4v2Lr1hL6xCzxazIKGpi6eRR8AAKQl3UJu1nM0aLkABiZuMDBxQ4NWC5CefA8pCTcqaev+u+sn/6ojrQbDonZ9dB30Vx25VHYduXGquI606FJcRwJ6FdeRsBJ15NkjxTriHfBXHYmp+nXkjzNr0cBvCDxbDISZdX0EfvgNtLRrIOL3bWWWDz+3Dk7ugWgSOBFmVvXgHzQbtey8cPNCiEI5DU0d1DSqJf7p6plUxuaUi+KWzh9Rt+lY2LgEwsi8Hnw7Lkde9gs8f3zqjetF39wMR8/+cHTvA0MzNzRutwAamjUQe2+3WObPi4vg0mgw6vqOgqFZHRiYOMO2TjdoaOpUxqa9EyJCQswe2LoNhKlVS9Q0dIGb13QU5CXjVeLlN65nYtkM9vWGwcy61RvLAIBEogVtXTPxT1PboLw3odwRER7d3oq6vmNg7dwBRub14NNhKfKyk5AQ8+Y68ujWFjh49IND/d4wNHWFV8B8aGjqIvb+HgCAINGAbk0Lhb+Ex6dg49oFmto1K2vz/rOrx1fDp+0n8G4zBJa27gj6eB20dPQQfuHHMsvXdmmCTh99jQYt+kPzDXX/v35mVeIr1MRAiTlaCG9Xl09QGmpBC59ILGAn6KC7xAT+ggEOylLFMgcoFZ0EQ3SQGMFe0MEYwRI6EHCKMipqM5gaeufk5smTJ/Dx8cHZs2exbNkyRERE4MSJE2jbti3Gjh1bnjH+KwsLC+jp6f1jGX19fZiZVe1uRG9DWlSAhNhwONZ/3aQvSCRwcm+LZ4+ul7nOs0fX4Oiu2AXA2aODQnlb1+aIvnUUmanPQER4EnkerxKj4ezRoWI2pJzlZj1Dfm4yzKybicu0tA1gZNEAaS//LHMdmbQQGSn3YWbdXFwmCBKYWTcX15HJCiBAgERDWyyjoaEDQZAg9cXNCtqa9yOvI07upetI/D/UEae/1xHPDnj28HX52i7FdSRDXkfuq0YdkRYV4MXTm7Cv11ZcJkgksK/XFgmPy05QE2JuwL5uW4VlDvXbIyFGsXx89CWsm+qIzfMa4/SOCcjNSoGqyMl4ivycl7C08xOXaekYwLRWI7xKKLtuy6QFSEu6A0s7f3GZIEhgaecnrpOXk4LUF7ehq2eG87/2xdGNzXBxz/8h+XlYxW7Qe8rPSUBh/isYm/uIyzS19GFg7I7M1Hvv/fnpKbdw47eeCD83EI8iVqKwIP29P7OiyeuIhW0LcZmWjgFMajXCq8RbZa4jkxYg7eVdWNi+rleCIIGFrd8b10lLuoP05PtwqN+nPMMvV0VFBUiICYeLZ3txmUQigYtnO8RHX6syn1mVRVIevATFazVv6CESeQCAQiI8RB4aCa8TXIkgwEuoiQeUW6mxMtX2zsnNmDFjIAgCbty4gd69e6NOnTrw8PDApEmTcO1a8Y8yLi4OPXr0gL6+PgwNDdGvXz+8ePFC/Ax5V7Ft27bB0dERRkZG+PDDD5GZmSmWyc7OxqBBg6Cvrw9ra2usWLGiVCwlu6U5OjoCAD744AMIgiC+/nu3NJlMhvnz58PW1hY6Ojrw8vLCiRMnxPefPHkCQRCwb98+tG3bFnp6emjUqBF+//33d91l5SInMxkkk6KmoWIzcE3DWshOf1HmOlnpL8osn5XxunzHj1bB3KYevp3sgq9HGmDXqmB0GrAa9nX/+W5kVZGfmwwA0P7bOBidGmbie39XkJ8KIuk/rmNs0RAamjXwIGw1pEW5KCrMQWToChBJkZ/7sgK25P2VZx3JLlFHOv3vrzryuQuWjDDAThWpI7lZKcX7w0Bx+/QMLBW2r6TsjBfQM7RQWFbTULG8o3sHdB60AX3HH0GrnvPx9OFl7FvXCzKZtPw3ogLk5RTXcR09c4XlOnrmyMspu27n5xb/ZnT0zMpYp/jzctLjAAD3r38DR8/+8O+xGcaWHri8byCy0p6U81aUn4L8VwAALR1TheVaOibie+/KxKIp3LxmwKP5SjjUH4GMlNu4f30qiKp2XZH/m+r+vY7UMEf+m+pIXnEdKbWO3pvXib2/BwYmLjCz9i6HqCtGTmYyZDIpahqVPk5mpidWmc+sylJRBOO/DfU2FjSQAxnySYYMSCEDYAINxTLQQCqq9m9FGeRTQVf2nyp4pwkFXr16hRMnTmDRokWoWbN0E7KxsTFkMpmY2Fy4cAFFRUUYO3Ys+vfvj/Pnz4tlHz16hAMHDuDIkSNITU1Fv379sGTJEixatAgA8MUXX+DChQs4ePAgLC0tMWPGDISHh79x/ExoaCgsLS2xZcsWdO7cGRoaGmWWW7NmDVasWIGQkBA0btwYmzdvRnBwMO7evQs3Nzex3MyZM7F8+XK4ublh5syZ+L//+z88fPgQmpqld11+fj7y81/3Q87IUJ1m1LAz6/Ds0Q30/XQvjMzsERd1GSd/ngh9Y2s4ubf/9w+oZM8fHcXd3xeIr306rK2Q79HWNYVXwDLcvbYIsfd/gSBIYO3UGYZm9SEIKjlk7Z2JdWS8Yh0xMLaGk0fVqyMVrZ5vX/H/LWp7wqK2J36Y0wBPoy7CoV7bf1hTOeIiD+LmuS/F135BGyvkewjFJz9Hzw/h6F58J97Y0gNJT3/Hk7u74en/RYV873/1Mv4UHkW8vllWv+mSCvsu89qvfx81DZ1R08AF4ec+QnrKLYWWImV7+uAQbp1/PRaoRfcNFf6d0qI8PI06jLq+Yyr8uxhj1cM7JTcPHz4EEaFevXpvLHPmzBlEREQgJiYGdnZ2AICffvoJHh4eCA0NRZMmxbM2yWQy/PjjjzAwKO6zOXDgQJw5cwaLFi1CVlYWfvjhB/z8889o37745LB161bY2r555hoLi+K7rcbGxrCyKnsAHwAsX74cU6dOxYcffggA+Prrr3Hu3DmsXr0a3333nVhu8uTJ6NatGwBg3rx58PDwwMOHD8vc9sWLF2PevHlv/M7yoGdgDkGiUWpgeHbGC9Q0qlXmOvpGtcosr29YXL6wIBfn981Gn7G/wrVR8Sw1lnYN8OLpbVw/ubpKJjeW9gEwKjGjmUxaAAAoyE2Brt7rO+75uSkwNK1b5mdo65hAEDRQkKvYlSg/NwU6NV7fdTSv7Yc2vY+iIC8VgqABLR1DnN3ZDtZOb66HylSedaRmiTpybu9s9Bn3K9z+qiO17BrgRdxtXDu5ukonNzX0zYr3x98mD8jJTBK37+9qGtZCTobiXebsjDeXBwBjcyfU0DdD2svHVTK5sXZurzCjmfw3k5+TjBo1X985zs9JhpGFe5mfoVOj+DeTn/O330xOsninXv77MzR1VShjYOqC3KyE99+QcmJq5Q99k/ria5IVAgAK819BW/d1y1RhfipqGrqWWv996Na0gaa2EfKynwFVKLmxcmqHtrVK15G8nGTolqwjuckwMq9fan0A0NEtriPyVh9xnZxk6OhZlCr/7NEJSIvyYF/vg/LYhAqjZ2AOiUQD2emlj5MGRm++1qjsz6zKTKCJNChODJBGUuhBAh1BAgkJkAClWmnSIC3VmsMAIlmlT2xUlSdSKumdbj2/zTzX9+/fh52dnZjYAIC7uzuMjY1x//59cZmjo6OY2ACAtbU1kpKKf+iPHj1CQUEBmjV7PY7C1NQUdeuWfbH6tjIyMvD8+XP4+/srLPf391eIDQAaNmyoEBsAMb6/mz59OtLT08W/p0+fvlecZdHQ1Ia1gzee3D8nLiOZDE/un0dtl2ZlrlPbpblCeQCIuXdWLC+TFkImLYQgUawOgkQDVEVnxtDUqomahvbin76xC3RqmCMl4fUYkaKCLKS/jICxRcMyP0OioQVDs/oK6xDJkJJwvcx1tHVNoKVjiJSE6yjIewULu4By367y8E91xPYf6kjM3+vI3bOo7fq3OvK31iqJRKPKH+w0NLVRy64x4h6cF5eRTIa4B+dh7Vz2dKvWTk0VygNAbOQ5WDu9eXrWzNRnyM1+hZpV9KJES1sf+saO4p+BqRt09Czw8ulVsUxhfiZevbgNU+vGZX6GREMbxpaeSCqxDpEMSU+viuvoGdpCt2YtZKbGKKyblRqDGgY2FbBl70ZDUw81atq+/tN3hJaOKdKSw8UyRYXZyEy7BwOTspO9d5Wfm4Siggxo61StcaDFdcRB/DMwdS2uI/Gvu2MXFmQh9cVtmFp5lfkZEg1tGFt4KKxDJMPL+N/LXCf23h5YO7WDTg3TUu9VJZqa2rB28sbju68nqJHJZHh85xxs3Zr/w5qV+5lVWT1BF7cpR2HZTeSgHoqnh9cSBLhCF3+WKCMjwm3KQV2eCpr9B+/UcuPm5gZBEBAZGfneAWhpaSm8FgShSk01VzI+QSiexvRN8eno6EBHp+JnA2racTwO/zAM1o7esHFqghunv0VhfjYa+g8CABza9DEMTGzQtvdCAECTDmPx89JAXD+5Gi4Nu+DejV+R8OQPdBlU3EKlU8MQ9nVb4cyv06GppVvc5ejBJdy5uh3t+y+t8O0pD4IgwMH9f3j050bUNHRADYPaiA7/Djp6FrC0fz1Q/sbJ4ahl3w4O9f8PAODoMRARl76EkbkHjMw98eTez5AW5aK2W09xnfjoA9A3coa2rgnSXt7G/RtL4egxAPpGjpW8lW+vWafxOLSpRB059VcdaflXHdn4Vx3pU1xHmgaOxbavA3HtxGq4NuqCe9eL60jXwYp15Ozu6dDSLq4jsQ8uIeLqdnT4sOrXEZ/243Dip5GwsveGlaMPws9+h8L8HHg2HwAAOL51OPSNbdCqR3HLq3fbMfh1VWeEnf4GTp6d8OCPPXgRF46OH30DoPiZP78fWwy3xj1Q07AW0l4+xsUDX8LEwgWO9av2BAtygiDA1WsIIkPXoaaxI2oa2uHetVXQrVkLNs6BYrlL+wbCxiUQLo2K645b448RduoLmNRqAJNaDfHw1o+QFuXC4a8uaIIgoI73MNy7vgbG5vVgZFEfsff3IzP1MZp1rZjuo+VBEARYO/VB/MNtqFHTFjp61nj64Ado65rD1KqlWO7u75NgatUS1k69AADSopziFpi/5OckIjs9GprahtCpUQvSohw8jdoKM+vW0NIxRV7Oc8TeD4Fuzdowtnjzc6eqAkEQ4NJoMKL+WA99Y0foGdri/vXV0K1pCWun13Xk8oFBsHEOhHPDgQAAF6+hCD8zFSaWnjCxbIhHt7dCWpQL+/q9FT4/Ky0WKc9D0aJ7xXSRLG9+XSZif8jHsHHyga1LE/x+4hsU5GfDu81gAMDe9UNgaFIbgR8Wd6svKirAy/jiySikRQXITH2OhCe3oK2rDzMr17f6zKosl2RIQIH4+gUV4jHyoA8NWApa2Cp7iRQUYZKk+MZwZ8EYRygNW2Qv0UEwwp+Ug8uUiTmS2uJn9BRMsIoS4SrTQR1BFwcpDXmQoYNgWOnbx1TXOyU3pqam6NSpE7777juMHz++1LibtLQ01K9fH0+fPsXTp0/F1pt79+4hLS0N7u5vdxfMxcUFWlpauH79Ouzt7QEAqampiIqKQps2bd64npaWFqTSNw8+MzQ0hI2NDa5cuaLwOVeuXEHTplX/wVnuTfsiJzMZFw/MR3bGC9Sya4T+nx2C/l9djjJePVW4w27r2gI9hm/Fhf1zcX7fbJhYuqLPuN2wtPUQy/QcuQ3n936JgxuHIi/7FQzN7NHmg3kq9RBPJ8+hkBbl4s7V+SgqyIRJrcbwDVynMP1sTkY8CvLSxNfWTp1RkJeK6JvrkJ+bDEPTuvANXKfwgM7s9CeI+uMbFBako4a+DZwbDoOj+8DK3LT/zL1pX2RnJuPCgfnITi+uIx+WqCPpr54qtNTZurZAzxFbcX5fcR0xreWKvp8q1pEPRm3DuT1f4sCG4jpiZGaPgF6qUUfq+fRBbmYyrhxZiJzMF7Co3RC9x+4Xu5llpCr+Zmo7N0fXoZtx5fACXD48F8YWLugxYifMbYr3hyDRwMvnd3D3+nbk56ZD38gaDvXbwb/7l9DUqrrTHf9dHZ8RkBbl4ubZWX89xNMX/j02K/xmstPjkJ/7eqpW2zrdkJ+bgnvXViM/+yWMLNzh32OzwgBy18ZDIZXm489Li1CQlw4j83po+cFW6Bv/8wN1la22y/9BJs3Do4jlKCrMgqFpA7g3XQqJxuv9kZfzTGGms6y0B7h77TPx9ZN7xTcELGw7wc1rOiBoICfzMZLiT0JamAVtXTMYWzSBXd2PFWZhrKrcGg+HtDAXt859icKCDJhZ+8Av6AfFOpLxFPl5JeqIWzcU5L7C/evfFD/E07w+WnT/odQkA3H396CGvhUs7VtCFTRo0Q85mS9xds88ZKUnwsqhEQZOPfL6uJqieBzJTH2O9TNfJ7BXjq7ElaMr4Vi/NT6edeatPrMqe4g8zJDFi69/oJcAAe0EQ3wmWOEVpHhZ4vk0VoIW5khqY5PsJQ5RGsyhiU+FWvAuMTtaK4kB0mVF2E4pSCUpnKGDeZLaMBH4mfN/p4wB/qoyoYBAb9PHrAyPHz+Gv78/TE1NMX/+fDRs2BBFRUU4deoU1q9fj3v37sHb2xsGBgZYvXo1ioqKMGbMGOjr64sTCsydOxcHDhzArVu3xM9dvXo1Vq9ejSdPngAARo8ejePHj2Pz5s2wtLTEzJkzcfbsWXzyyScKM6RNnDhRfLBnnTp10KFDB8yePRs6OjowMTEp9V2rV6/GnDlzsGHDBnh5eWHLli1YuXKlOKHAkydP4OTkhJs3b4qTF6SlpcHExATnzp1DQEDAv+6jjIwMGBkZ4fO1SdCpwXcdACD80gNlh1Dl+LR+v26W6iYvlx/W9ncxD9Rv5qT3kfg4/t8LVSOWDlWnu19V4e3npOwQqpTGgzz+vVA1kkNS9Jc9Qnp6OgwNVev6TH5t2eF/V6GlrV+p311YkIXT2/2q/H5751TY2dkZ4eHhWLRoET7//HMkJCTAwsICPj4+WL9+PQRBwMGDB/Hpp5+idevWkEgk6Ny5M7799tv/9D3Lli1DVlYWgoKCYGBggM8//xzp6f/8fIAVK1Zg0qRJ2LhxI2rXri0mSiWNHz8e6enp+Pzzz5GUlAR3d3ccOnRIYaY0xhhjjDHGqhxlTM2s7i037N9xy01p3HJTGrfcKOKWm9K45UYRt9wo4pab0rjlRhG33ChSi5ab/7sCzUpuuSkqyMLpHf5Vfr9xJ0bGGGOMMcZUiIxkkFXybKWV/X3vqno9hZAxxhhjjDGmtji5YYwxxhhjjKkF7pbGGGOMMcaYCuGpoN+MW24YY4wxxhhjaoFbbhhjjDHGGFMhRDKQrHIH+BNPKMAYY4wxxhhjlYeTG8YYY4wxxpha4G5pjDHGGGOMqRCeUODNuOWGMcYYY4wxpha45YYxxhhjjDEVQiSr9AH+PKEAY4wxxhhjjFUiTm4YY4wxxhhjaoG7pTHGGGOMMaZCZDJAVskD/Cv5sTrvjFtuGGOMMcYYY2qBW24YY4wxxhhTISSTgSq5KaWyv+9dccsNY4wxxhhjTC1wyw1jjDHGGGMqhB/i+WbccsMYY4wxxhhTC5zcMMYYY4wxxtQCd0tjjDHGGGNMhRDJQFTJEwpU8ve9K265YYwxxhhjjKkFbrlhjDHGGGNMhfCEAm/GLTeMMcYYY4wxtcDJDWOMMcYYY0wtcLc0xhhjjDHGVAjJZCBZJU8oUMnf9644ualARMV9E/NzM5UcSdVRVJCl7BCqnPzcDGWHUKXk5xYpO4QqpzCfjyElFRVmKzuEKqWQj6ul5OXwcbWkHJIqO4QqJeevWb/k12mqSFpU+cdBZXznuxBIlf9lq7j4+HjY2dkpOwzGGGOMMfY3T58+ha2trbLD+E/y8vLg5OSExMREpXy/lZUVYmJioKurq5Tvfxuc3FQgmUyG58+fw8DAAIIgKC2OjIwM2NnZ4enTpzA0NFRaHFUJ7xNFvD9K432iiPdHabxPFPH+KI33iaKqsj+ICJmZmbCxsYFEonrDz/Py8lBQUKCU79bW1q7SiQ3A3dIqlEQiqVJ3BAwNDfng+je8TxTx/iiN94ki3h+l8T5RxPujNN4niqrC/jAyMlLq978PXV3dKp9gKJPqpauMMcYYY4wxVgZObhhjjDHGGGNqgZObakBHRwdz5syBjo6OskOpMnifKOL9URrvE0W8P0rjfaKI90dpvE8U8f5glYEnFGCMMcYYY4ypBW65YYwxxhhjjKkFTm4YY4wxxhhjaoGTG8YYY4wxxpha4OSGMcYYY4wxphY4uWGMMcYYY4ypBU5uGGOMsfcgn3Q0Pz9fyZEwxhjj5IYx9lZ41njGyiYIAs6cOYPevXsrOxSmwso6xvJxl7H/jpMbxt5BdTvhyGQyCIIAACgsLERWVpaSI2LK8OzZM1y4cAEAsHPnTixevFjJEVUdL168QGJiIoDi3wt7d9Xt+AooHmOfP3+O2NhYEJG4jL1Wsn7I/7861hn2ZprKDoApj/zAmZiYCC0tLWRnZ8Pe3l7ZYVV58v12/vx5nDhxAk5OTmjatCkaN26s7NAqhEwmg0RSfB9kyZIlCA0NxY0bNzBs2DC0aNECHTt2VHKElU9eB9LT0yGVSmFqaqrskCpcTk4Ohg8fDg0NDZw/fx7z5s3Dpk2blB2W0vz9wtPGxgYPHjxATEwMnJyclBiZapPv12vXriEyMhJ6enro16+fssOqUEQkHmPnzZuHAwcOID09HXp6epg+fTq6du0KExMTJUdZNcjrx2+//YYjR44gMzMTEyZMgJeXl7JDY1UJsWpJJpMREdHBgwepRYsW5OHhQfXq1aOvv/5afI+92bFjx6hGjRrUunVrcnV1JT8/P9q/f7+yw6pQM2bMIAsLC9q8eTNt3bqV6tWrR61bt6Znz54pOzSl2L9/P/n6+pK7uztNmjSJkpKSlB1Shfvjjz/I3d2dBEGgadOmicur6zHj+vXrdP78eXr27BlduXKFmjVrRvfv3xffr6775X0dPnyYtLS0yNfXlwRBoD59+tDDhw+VHVaFW7BgAVlaWtKBAwcoOzubmjdvTq6urvTgwQNlh1alHDt2jPT09CgoKIh8fX2pRo0a9NNPP1FBQYGyQ2NVBCc31djx48dJV1eX1q5dS3/++SctXryYBEGgs2fPKju0Km/OnDm0YcMGIiK6fPkyDR06lOrXr0/79u1TcmQV488//yRPT0+6dOkSERVvs7a2Nv34449ERCSVSpUZXqW7efMmWVlZ0fTp02nx4sVkbGxMXbt2paioKGWHVmFkMhklJyeTl5cXubq6Ut++fen06dPi+9WtDqSmppKrqyu5uLiQqakpNW7cmARBoG7dutEvv/xCFy9epLi4OEpLS+Mk5y3JZDKSSqU0YMAACgkJoezsbLp9+zaZm5tTx44d1foi/9WrV9S6dWvasWMHERGdOHGCDA0N6fvvvyei6vf7epO0tDSaN28ehYSEiMumTZtGWlpatGXLFiosLFRidKyq4OSmmpLJZDRixAiaNWsWERHFxsaSi4sLjRw5UsmRVU3yi5NHjx5RfHw8ffTRRwotNeHh4WKCo44tOHfu3KEGDRoQEdHu3btJX1+f1q9fT0RE2dnZdODAAXrx4oUyQ6xQMplM4QL1zp07NHPmTPH1o0ePyMzMjDp37qzWCQ4RUUpKCl25coX8/PyoZ8+edOrUKWWHpDSpqamUnZ1N58+fpzNnzpCFhQVJJBJq37496evrU61atahVq1aUnZ2t7FCrNPlv68WLF5SUlEQzZsygP//8U3w/JiZGTHDU9ff17NkzcnV1pdTUVDp16lSpY+y3335LiYmJSo5SuW7fvk36+vrUoEGDUufZ6dOnk5aWFm3dupVbcBgnN9VVXl4eNWzYkLZs2ULp6elUu3ZtGjFihHiSWbduHV2+fFnJUVYte/bsITMzM3JyciJTU1PxxCN38+ZNGjZsGFlZWdHhw4eVFOX7K+sO4Y0bN8jBwYHWrl1LxsbGtHbtWvG9ixcvUu/even27duVGWalkv8uLl68SEuXLqVevXrRhAkTFMrIE5xu3bopdE1SZfLtfvDgAV24cIFCQ0MpPz+fiIjOnj1Lfn5+1KtXLzHBmTVrFn399ddKi7eiyFsUSr4uy5QpU2jixIlEVFwf7ty5Uy26U5WHPXv2UL169cjR0ZG0tLRo27ZtCu/HxMSQtbU1NWvWTOX3acn6k5eXJ/5/QEAAde7cmQwMDGjTpk3i8idPnlDLli3VtmfA25JKpTRs2DASBIHWrVtHRIr78ssvvyRBEOjnn39WVoisiuDkppqQHwDS09PFuxqzZs2iQYMGkY2NDY0aNUo8eefk5NCgQYNo8eLFVFRUpLSYq4KSdxSdnZ0pJCSEtm/fTgMHDiRtbW3avXu3QvnQ0FAaN26cyp58S17ArVmzhubNmye+/vjjj0kQBFq0aJG4LCcnh7p37049evRQ+24Tx48fJ0EQqE2bNqShoUEuLi4K3bKIiB4/fiyOEVD1u4fyur9nzx5ycHAgW1tbcnBwoLp161JkZCQRFSc4AQEB5O3tTYGBgaStrU3Xr19XZtjlruS/45kzZ2jq1KnUs2dPOnr0KMXHxyuUXbhwIbm7u6v9b6G83bt3j1xdXWnOnDm0ZcsWcnJyooCAALpw4YJCucePH5OrqyvFxsYqKdL3V7JuLFq0iL788kuxRWbTpk1kb29P3bp1E8tkZ2dT165dqX379tX+fExUfFwaMmQIGRgY0G+//Vbq/QULFtC9e/eUEBmrSji5qQbkFylHjhyhoUOH0rFjx4iI6OeffyZbW1tq3rw5PX36lIiICgsLacaMGeTo6KiyF+jl7cSJE7RkyRLxjixR8Z20Tz/9lAwNDUslOCXvxKmqyZMnk62tLc2fP5+ePHlCRESRkZHUtWtXMjY2ppUrV9K8efOoQ4cO5OHhIV4AqutFXVxcHI0ePZo2btxIRERRUVHk7u5O3bt3p4sXLyqUjYmJES/+Vd3Vq1dJX1+fNm7cSPfv36erV69Sx44dycrKiqKjo4mI6Pfff6clS5bQ6NGj1e6i4s6dOzR37lwiItq3bx8ZGBjQ4MGDqW/fvlS3bl0aP368wjiQY8eOkaurK/f7/w8iIiJo1qxZNGnSJHHZw4cPqUGDBtS5c2c6f/68QnlV3rclj49xcXH04Ycfkra2Ni1fvpzy8vIoLS2NPv/8c3J1daXWrVvToEGDyN/fnxo2bCgeY6tLgiO/brl16xbt37+f9uzZQ48ePRLf/9///keGhoZlJjiMcXJTTezfv590dXVp4cKFChdeS5cuJWdnZ2rXrh0NGDCAevXqRWZmZhQeHq7EaKsOqVRK06dPJ0EQyMvLS+EurjzBMTMzU6tm8N27d1OtWrXKvAMfGxtLkyZNIm9vb+rUqRONGzdOvNhQ5YuOfxIaGkpBQUHk4+NDN27cEJffvXuXPDw8qGvXruJEC+rm+++/L3XHOCMjg9q3b0+NGjVS+D2o26D5W7dukSAItHLlSrp9+zY5ODiIXYXy8vJIT0+PHBwcaMSIEWKiFxYWRvb29tV+bMTbysrKog4dOpC+vj516dJF4b2oqChq0KABde/eXWFclzrUs0mTJlGDBg3ok08+oSZNmpBEIqEFCxaQTCajtLQ0Onr0KH344Yc0atQoWrRokdofY99kz549ZGxsTL6+vqStrU3NmjWjBQsWiO8PGDCAzMzM6OjRo0qMklVFnNxUA7GxseTp6akwTqKkXbt20fTp06l79+40Z84ctbnrXF6Sk5Ppq6++IolEIs4OJhcbG0tDhw4le3t7ysjIUIsT76JFi6hHjx5E9PpO499Pqq9evVJ4rc4n3YiICGrZsiXp6urSmjVrFN67f/8+NWrUiPz9/enq1atKirDizJs3j2rVqiW+lv87nzx5kpycnOju3bvKCq1C3b17l2rUqEFz5swhouLtlbfcPn78mBwdHWnMmDG0Zs0a0tXVpdGjR9OdO3dIKpXSy5cvlRi5aih5nLx//z4FBQWRs7Mzbd++XaFcdHQ02draUp8+fSgnJ6eyw6wQBw8eJENDQwoLCxNvGixdupQEQaAFCxZQVlZWmetVhxabki1bt2/fJgsLCwoJCaGsrCx68uQJTZ48mXx9fRW6Rn/wwQdkb2/Pk3YwBZzcqJlNmzaVuuMeHR1NDg4OChdfJU8u8gOKOlyYvy/5PsjKyqLU1FRxeVFREU2dOpUkEkmpE3BcXJxa3amdPHmywl15+T7Jy8ujgwcPlipfHepNZGQkdezYkVq1akV79+5VeO/OnTvUokULiouLU1J07y83N7fM5Tdv3qT69evT0qVLFVppwsLCyMHBQS0nkYiIiCBzc3OqX7++uCwhIYGio6OpoKCAgoODaejQoeLFpoeHB1lYWNCkSZPUOskvD/JjhfxCVF7v7t27R506daLAwED69ddfFdZ5+PChQnckVbd9+3by8PCg9PR0hYv5+fPnk5aWFq1cuZKSk5OVGGHl+/777yklJUVh2a+//kr169entLQ0cdmzZ89owoQJ5O/vL55zZTJZtX3WGnszibIfIsrKBxHh+fPnWLduHSwsLBTeS0xMREJCAgwMDAAAhYWF4pO1b926hZMnT6KoqEjhadvVEf315OPDhw+je/fuaNasGQIDA7Flyxbk5+djyZIlmDx5MgYOHIidO3eK69nZ2aFWrVpKjPzdEFGZy93d3ZGamoqjR48iNzdXrBd5eXlYunSpwrYDUKt6I98nd+/exbFjx3DmzBkkJSWhbt26WLlyJXR1dfH9999j37594joeHh64cOEC7OzslBX2e3n27BkGDRqEc+fOicvk+8HFxQVt2rTB8ePHsWLFCgBAVlYW9u/fDz09PVhZWSkl5opy+/ZtNGvWDJ6enkhPT8eECRMAAFZWVnB1dUVqaipiYmLQsWNHaGho4NWrV2jUqBHGjh2L8ePHQ1NTU8lbUHXJj6/Hjx/HgAED0L59ewwZMgR//vkn6tevj9WrV0MQBGzYsAF79+4V13NxcYGzs7MSIy9f2traiIqKQlpaGiQSCfLz8wEAvXv3hra2NmbMmCEeY2UymTJDrRTh4eHYu3cv0tLSFJbXrFkTubm5eP78OYDifWFjY4PRo0fj6tWruHXrFoDi84+NjU0lR82qPGVmVqz8yO+Iye+EhYaG0pUrV8T327ZtS02aNCl1d2TcuHE0ZsyYN965rW6OHz9O2traNGPGDNqyZQsFBQVRkyZNaNq0aZSTk0NFRUU0c+ZMEgSh1EQCqqTkHcPIyEiKjo6mmJgYcVmHDh3I1dWVNm7cSJGRkXTnzh3q0qULNWvWTO27R+zevZusra3J2dmZHBwcyMLCQnywbUREBAUGBlKXLl3ol19+EddR5darR48eUYsWLahbt24K07/L/51fvHhBo0ePpnr16pG+vj41b96cTE1N1W5cXmhoKGlpadHcuXOpqKiIQkJCyNzcnMaPHy+WiYyMpAYNGtC8efPo1q1bNGfOHPLx8VG4u8ze7NChQ6StrU1Tp06lcePGUefOnUlXV5cOHTpERMW/r65du1KTJk3owIEDSo72/bxpcpX8/Hxq3749NWvWTKHF4dGjRzRlyhSaO3cu6ejo0J07dyorVKWSSqViL4nQ0FCx1eru3btkampKU6dOVbg+efHiBXl5eZWaaIKxkji5URMlHzJYUFBAdevWpfbt24td0U6cOEHNmzcnLy8vunr1Kh09epS++OILMjY2poiICGWGXiXIZDLKycmhnj170uTJkxWWyy9g5E+OTk1Npfnz56vszFAlL8Rnz55NXl5eZGVlRQEBAfTdd9+J7/Xv358aNmxIEomEvLy8yM/PT+1n7AkLCyNDQ0PauHEjPX/+nO7cuUNDhw4lPT098WQaERFBTZs2pQ8++IAyMjKUHHH5iIqKos6dO1OnTp0UEhz5v3dmZiYlJSXRzJkz6fjx4/T48WNlhVphLly4oJDIpKWllZngyGeTtLe3JxsbG/rjjz+UEa7KycrKonbt2tGMGTPEZdnZ2fTpp5+Srq6uOH4rIiKCevfurTbTPR89epR++ukn2rlzp3iRLp9C3d3dnU6ePEknTpygzp07U/fu3Sk9PZ3s7OxKje9TRyXPI0lJSeTr60utW7empKQkIiruwicIAk2ePJlCQ0MpISGBpk2bRtbW1qWmYWesJE5u1MzOnTvp8OHDdP/+ffL09KSgoCAKCwsjIqIrV65Qt27dyMjIiNzc3MjX15du3ryp3ICrmMDAQPr000+JSPHAGxgYSMHBweJrVb5TLzdnzhyysLCgkydP0u3bt2nAgAGkoaFBS5cuFcs8ePCATp06RaGhoW+cXECd7Nixg/z8/BTuFBYWFtKgQYPI1tZWHCz+4MEDlb74KsubEpyioiLKz8+nadOmUb9+/dRmYPc/KflcMHmCM3bsWPH9ixcv0pUrV1R6nFVle/XqFTk7O9OGDRuI6PWDUTMzM6ldu3Y0YsQI8QGxqvyMqJLnhqlTp1KtWrXIz8+P9PT0qG/fvhQaGkpExQ9G7tOnD+nr65Orqyv5+/tTYWEh5efnk6enJ+3atUtZm1Ch5OeRvLw88f/l1yHbt2+ngIAA6tSpk5jg/PLLL2RtbU21a9emunXrkr29vdq1GrPyx8mNiit5II2IiCAjIyNatWoVERVPZVq3bl3q3r27eECVl3v+/HmpLmrVkXz/SaVSKiwspD59+lDbtm3Fg648wVm+fDk1a9ZMbbrvXbt2jZo3by4+JO/EiRNkYGBAQUFBVLNmTVq5cmWZ66nrc2zkQkJCSE9PT7yAl//7X7t2jezs7NTuAZV/V1aCk5+fT+PGjSOJRFItb4aUTHBKtuCw/y4oKIiCg4PF35f8+PvRRx9Rr169lBlauVu+fDnZ2tqK08eHhISQIAjUtWtXheNIZGQkJSYmivti+vTpKv+g0n/z8OFD6tq1KyUlJdGuXbtIEAS6efMmSaVS2rFjB/n7+1Pnzp3FBCcqKoouX75MJ0+e5MkD2Fvh5EYFlXWBGRERQbNnz6YpU6YQ0eu76/IEJygoSGEMTnUnP5GkpqZSQUGB2Gf+wYMHZGBgQMOHD1dooRgyZAj16NFDpe8olpSSkkLz58+n3NxcOn36NFlZWVFISAi9fPmSWrduTYIg0Pz585UdZqV79OgRNWzYkKZNm6YwjuLhw4fk7Oysts+zKalkgnPu3DmaMmUK1ahRo1rfLU1PT6eNGzeSIAg0depUZYdT5cmPr0VFRQoPNd68eTP5+PjQwoULxVYaIqLBgwfTxx9/TAUFBSrbKl7yvJycnEwjRoygLVu2ENHr57XMmjWLbGxsKCAgoNSYkRs3btCYMWPUcjybnHyWvBcvXpCBgQF5enqShoaGuJ+ISCHB6dSpE0+tzt4JJzcqRn4AjY+Pp507d9L27dvp0KFD9NFHH5GZmRmNGDFCLFcywfH09KSAgAC1v/P8NuQnz0OHDokPI2zbtq3YDeDYsWNkYGBALVu2pP/97380cOBA0tfXpz///FOZYb+zN7W2yO+eDh48mCZOnCgmbsOHD6fmzZtT165dVfZC49/It+vevXt04cIFOnPmjHjinTdvHrVo0YImT55MqamplJycTDNnziQXFxd6/vy5MsOuNFFRUdS9e3cyMTEhbW1tHldCxWNwfvzxR3rw4IGyQ6nS5L+tY8eOUf/+/cnX15cmTJhAFy9eJCKiWbNmkbe3NwUGBtKSJUtoyJAhpK+vrzYD6I8ePUo5OTl09uxZSklJoZs3b5KzszOtXr2aiIi2bt1KOjo6FBAQoNASGhkZSd99953a1q+5c+fSt99+Kya7W7duJUEQqE6dOhQbG1vq8RQ7duyggIAA8vPz414m7D/j5EaFyC9Sb9++Tc7OzuTu7k5aWlrk4+NDwcHB1KVLF7KzsxMPmDKZTOxWExYWRk2aNKGnT58qK/wq5ejRo6StrU0LFy6kRYsW0ahRo0gQBPEE9OjRI/rkk0+ob9++NHToUJU98ZZMbEJDQ+nUqVOUmJhImZmZRFQ8yLdhw4Zid5usrCzq06ePQn9vdUtw5NuzZ88esrS0JE9PTxIEgdq2bSvOgLdgwQLy8vIiTU1N8vHxISsrq2p3gR8ZGUnBwcEqW/crgrr9FiqKfFa0MWPG0LRp06hBgwbk5+dH27ZtI6LisRX9+vWjJk2aUK9evVT6eUklj7GzZ88mQRAoLi5OvIhftWoVtWvXTpwRbMOGDfTBBx/QgAEDSt14UteJWoiKu9uVPJacOHGC1q9fT3Z2duTv708RERGlEpzt27dThw4deGwb+884uVERJRMbPT09mjJlCj179owOHjxInTp1Ij8/P1q6dCm1bNmSgoODxZOFTCYTW3BKdg+ormQyGRUUFFDv3r1L9Z9fu3YtCYJA+/btIyJSqwH0kydPJgsLCzI2NiYnJycaOHAgRUZGElHxxAK1a9emkSNHkr+/P3l7e4snWXW9mAsNDSUTExPauHEjJSYm0v3796lPnz7UqlUr8d8/ISGBdu7cSSdOnFDr/u//RF26YbLKIZPJKDU1lVq1akVfffWVuDwuLo6GDx9Ofn5+dO3aNXF5Tk6O2tSxyMhIWrhwIZ06dYqISGEMTdOmTSk6Oppyc3MpODiYNm3aJK6n7uMYo6OjFV6fPXuWli1bJiZ7iYmJVLt2bfL391eYgfTMmTNEVHzDjbH/ipMbFRIXF0fm5ubUt29fheXr168nY2Njio2Npf3791P79u2pR48eYjcq+UFWXS9U34Z821+8eEFERA0bNqTp06eL70mlUpJKpTRkyBDq2bMnZWdnq/QFfsmYDx8+TG5ubnT69GmKj4+nb7/9lgIDAykwMJDi4uLo2bNnNG/ePGrXrh0NHjxY7ad7Jir+zTRu3Jjy8vLEffXo0SPq0aMHdezYUe0vOBgrT/LfUF5eHuXn55OXlxctW7aMiBS7UtepU4dmzpyptDgrypEjR0gQBLK2tha7fsv3yR9//EHGxsZUv359cnJyogYNGojHWFU8t/wXP/30E7Vu3ZqOHTsmLvvss8/IxMSEVq1aJXbzffHiBdna2lKrVq3o4MGDNGvWLJJIJNzThL0zibIfIsrenlQqhZOTE/Lz83H58mVxuYuLCwRBQHZ2Nnr27Inhw4cjNzcXEyZMwN27d8UnyKvTk+T/K0EQsG/fPnTt2hWpqalo3749zp49i7i4OAiCAEEQIJFIYGFhgZSUFOjp6UFDQ0NcV5Xk5+eLMW/evBlhYWHo06cP2rdvj9q1a2PcuHEYPXo0MjMz8eOPP8LGxgazZ8/GqVOn8OOPP0JLSwtFRUXi9qu6p0+f4ocffsDGjRtx6dIlAMVPCc/OzkZ2djYEQUBRURGcnZ0xZ84cnDp1CmFhYUqOmjHVIQgCdu3ahQkTJiA+Ph66urqIjY0FABARZDIZateujYCAAPzxxx+QyWRKjrh8OTo6YuTIkUhJSRG3WyaTQSqVwtvbG+fOncOoUaPw2WefITw8XDzGqtq55b9ycHBAYWEhQkJCcPz4cQDAypUrMXz4cKxevRo7duxAQkICLC0tER4ejrS0NMyZMwfbtm1DaGgobG1tlbwFTGUpO7ti/418JqOOHTvSvXv3KDMzkywsLMRZ0uS2bt1KwcHB1frOh1QqFe+MxcTEUNu2bcVnLBw4cIBatGhBEydOVOjPO2bMGOrdu7fKTvl88uRJWrp0Kf3+++9ERFS/fn0SBIGCgoJKtUaMGjWKPD09Sy1Xp7uJt2/fJgcHB2ratCmZmZmRi4sLHTlyhKKjoxXGWMlFRUWRh4eHSo8BYKyylGwRt7W1pW+++YaIiPbu3UuCIND333+vUL537940cuRIlT7GvKlV9969ezRw4EDS1dWl06dPE1Fx63dZLeDq3CouJ99Pf/zxB7Vt25Z69epFR48eFd///PPPycHBgVasWCG24GRmZlJERITYw4Kxd8XJjQqKioqiLl26UJs2bcjExIQmTpwovley/7K6PD39v3r48KHC69DQUJowYQL16NGDkpOTxeWrVq2iFi1aUMOGDWnUqFHUr18/MjAwUNlZ0TZv3ky1a9em0aNHK/Rr79y5MxkYGNDx48cVpl/9+eefycfHR21nopGPT5s2bRplZ2fTqVOnyMbGhrp06UJERCtWrCBNTU1atmwZxcXFUXp6Os2YMYOcnJwoISFBydEzphpOnjxJK1asoHHjxincFFq6dCkJgkCffPIJzZgxg8aMGaPys6KVTGyuXr1Kly5dEmeBIyoedzN48GAyNTUVE5zq2sVVnsAlJCTQnDlzyNbWljp06EC//fabWEae4JTsosZYeeDkRkVFRUVRu3btyMHBQXwQI1HxnTRVviv2vnbv3k1eXl506NAhcdnnn39OJiYmZGNjQ4mJiQrljx8/TjNnzqT27dvT8OHDVfbEu2PHDtLT06Ndu3ZReno6ESneHWzVqhXZ2trSzp076fnz5/TixQtq06YNde7cWS3ry5vGpzVp0oTc3NwoLS2NCgoK6OeffyYdHR1ycXGhunXrVstZ0Rh7V0VFRfTZZ5+RIAjk6ekpTi8vJ5/w5u8T3aiiksfJGTNmkJubGzk6OpKrq6vC5DT379+noUOHkrm5uUJLRXW0e/duMjExoTFjxlCvXr1IX1+fOnXqpLBfpkyZQgYGBvTdd99V20SQlT9OblRYdHR0qaeJV3dnzpyhoKAgat++PR08eFBcvnDhQrKxsaFPP/20zCbvwsJClT2wJiUlUUBAAK1du1ZheWZmJl2+fFmcFS0oKIgEQSBXV1fq378/BQQEiC056pbgxMTEUJMmTSg4OFj8bXz11VckCIK4fMiQIbR//3767bffaPfu3XTy5El68uSJkiNnTLUkJSXR3LlzSSKRiFM9yydpIXr94Ma/Jz6qatGiRWRpaUmXL1+mjIwMmjFjBgmCQMOGDRPLREZGUo8ePahz585KjFS55BNIlOz6e+HCBWratCl17NhRoQVn1qxZpWZVY+x9cHKj4uQP22vevLk4zqK6u3HjBvXv3586dOhAhw8fFpdPnz6dvL296csvvxSfeqyqCU1JSUlJ5O7uTvv37xeXrVu3jvr06UOCIJCFhQUFBwcTEVGfPn1IS0uLDh8+LHZhVJepWP9OPj4tODiYhg0bRhYWFrR7926KjY2lffv20fz588nc3JycnJxKtfAwxkqTtwYnJydTfHy8uDwzM5MmTpxIGhoa4nFIPuZR1WfrLBm3/Hwrn/3ryJEjZGRkRKNGjaKaNWuKD9EmIoqNjVWL88u7Sk5OJicnJ9q+fTsRvd6PFy9eJD09PerSpYs47T5j5Y2TGzUgf0ZHdX0Wh5z8xPv48WOaMWOGOJC85DSUU6dOJW9vb5ozZ47aDFpMSkoiW1tbGjZsGJ05c4Z69+5NDRo0oNGjR4utEnZ2dvTtt98SEZGPjw+5urrS1atXFcbgqKMHDx5QYGAg6erqilPTlpScnEy7d++mqKgoJUTHWNW3fft2unPnjsLDbz09PcnR0ZF69uwpduXNycmhCRMmkIaGBh04cICIVDehkbtw4QItX76cVqxYQcnJyZSbm0vr16+nV69e0aVLl8jW1pbWr19PREQjR44kQRCod+/eCp9RnRIc+b+3VCql+Ph4ql+/Pi1dupSIim+iyd8PDAwkExMTGjRokPhAacbKEyc3akLdL1Lf1q+//krm5uY0ZswY6t+/P1laWlLLli0VWjXkg8YXLVqkNiee06dPk5GRETk7O1OjRo3ozJkz4uQJr169Ii8vL/G5PkRELVu2JBMTE4WJB9TVw4cPqWPHjtSlSxe6dOmSuFxdW6wYKw8ymYwyMjJIQ0OD2rRpQw8fPqSwsDCysrKiuXPn0tatW8nFxYWaNm0qDqrPycmhSZMmkSAIdOTIESVvwfvZunUr1alThyZOnEghISGl3p88eTINGDBA7Ha3YMEC6tGjB3Xr1k1tzitvS560yB+4KX+9ZMkS0tTUVLjBSEQ0bNgwWrFihcJMpYyVJ05umNp4/vw5eXh40IoVK8Rlp0+fpm7dulHLli0VDrBz586lx48fKyPMCpOUlFTmNr169YpatWpFISEhVFhYKC7v0KFDtennLO+ixuPTGHs78gvUuLg4srGxoa5du9JPP/1Es2fPFstkZGSQl5cXNWnSRCHBmT59usLT5lXNTz/9RDVq1KA9e/ZQXl6euHzlypViV6rg4GDq2LEjERVv8wcffECbN28Wy1a3BOfIkSPUtm1bCg4Opjlz5og3j0aPHk0SiYTmzp1L69ato4kTJ1KtWrVKTe7DWHkSiIiU/awdxspDcnIyvL29MX/+fAwZMkRcfubMGfTr1w/16tXDZ599hj59+igvyEr28uVLDB06FMnJybhy5Qo0NDRQWFgILS0tZYdW6aKjozFp0iQkJydj1apVaN68ubJDYqxKkl8WFBQUQEdHB/Hx8WjSpAlevHiBwYMHY8uWLWLZ9PR0BAQEQE9PDwsWLEC7du2UFXa5uH//Pvr374+xY8di5MiR4vJ+/fphz549CAwMxBdffIGCggL0798fjRo1QnZ2NqRSKcLDw6GpqQkiUvsHdJZ07do1tG7dGhMmTEBMTAxiY2NhZWWFffv2QUtLCytXrsSOHTuQk5MDPT09bNiwAY0bN1Z22EyNSZQdAGPvo2RuLpVKYWtri/j4eEilUvEp2O3bt4e/vz+ePHmCX375BZmZmVD3nD45ORlLlizB0KFDkZSUhEuXLkFDQwNSqbRaJjYA4ObmhmXLlsHW1hY2NjbKDoexKkd+XMzKyoIgCNDR0cH169dhZGSEmzdvwsHBAdevX0dERIRY1sjICBcuXMCzZ8/w1VdfITc3V5mb8N6ePn2KzMxMtGnTRjyHjB07Fjdv3sSRI0cgk8nwzTffICUlBXv37kW9evXQqVMnMbGRSqXVKrG5e/cuoqKisHjxYixbtgzbt2/HlClTEB8fj+DgYOTn52PSpEk4cuQIbty4gdOnT3Niwyoct9wwlSS/M5aTkwOJRAJdXV0AwLJlyzBr1izs2rULQUFB0NDQABHhk08+QZ06dTBkyBBYWVkpOfqKd+vWLXz55ZdwcXHB8uXLoampiaKiImhqaio7NKUrKCiAtra2ssNgrEpKTEzEBx98gLlz50IqlSIoKAjnz59Hq1at8Pz5c/j4+MDd3R3fffcd6tWrJ66XmZmJ5ORkODk5KTH697do0SKsWrUKycnJ4rKEhATx5tm9e/cwYsQIAMCBAwdgbm4ulqtux9i4uDj06tULjx8/xty5czF+/HgAQH5+Pg4fPoyvvvoK1tbW2LdvH3R0dJQcLatOOLlhKkee2Bw7dgxr1qzBq1evoKenhzlz5qBdu3b47LPP8P333+Ozzz6DtbU1Hj58iN27dyM0NBS1a9dWdviVJi0tDUZGRhAEAVKpFBoaGsoOiTFWxUVEROCbb77BqVOnkJiYiG3btqFv377Iz88Xu6j5+vrCw8MD69atQ926dZUdcrnatWsXPv74Yxw4cACBgYEK78lkMkgkEnz99de4ePEidu7cCQMDAyVFqnwZGRnYsGEDvv/+e7i5ueH48ePiewUFBThy5AgmT54MHx8f7N69W4mRsuqGu6UxlSMIAo4ePYq+ffvCz88Pa9euhSAIGDBgAMLDw7Fq1SosWLAAoaGh+O6773Djxg0cOXKkWiU2AGBsbAxBEEBEnNgwxt5KgwYNEBAQgLi4OJiamqJmzZoAAB0dHeTn58PW1hZhYWGIiorCRx99hOjoaCVHXL6aNGkCTU1NhISEIDY2VuE9iUSCzMxMXL58GXXr1q12ic3f74UbGhpi5MiRmDRpEh4/foxhw4aJ72lra6N79+5YvXo1li5dWtmhsmqOW26YSpFKpcjLy0Pv3r3h5+eH2bNnIzU1Fb6+vujUqRPWrVsnls3IyBAv7g0NDZUYNWOMVX3yblUXL15EdHQ0wsPDcfbsWcyfPx99+/YFAIUWnMDAQJw4cQIODg5Kjrx87dixA0OHDkXv3r3xxRdfwMvLCwAQGxuL4cOHIykpCWFhYdVq8gD5dl65cgVXrlzBq1ev0KFDB3To0AH5+fnYtGkTQkJC0LRpU2zatEnZ4bJqjpMbVmXJuwDIq6j8BJKTk4OAgABs3boV5ubmaNSoEYKCghASEgIA2LNnD9q2bQszMzOlxc4YY6pCfuEqP+bKhYWF4fvvv8eVK1ewcOFC9O7dGwBw+PBhtGnTBjVr1lTLVmGpVIotW7ZgzJgxqFWrFjw9PVFUVITMzEwAwKVLl6ClpVXtuvvu3bsXQ4YMgY+PD/Ly8nDjxg1MnDgRU6dOhZGRETZt2oQff/wRLi4u2LVrl7LDZdVY9Rn5xlSK/CQbFRWFb7/9Fs+ePYO/vz8+//xz6OnpQUdHB2vWrMGpU6fQo0cPrFmzBgCQkpKCzZs3Izc3FwMHDlTyVjDGWNUmT2wuXryIgwcPorCwEPXq1cOYMWPg6+uLUaNGQRAEzJw5E8+fP0dKSgq+/vprPHjwQG1bxDU0NDBs2DD4+vpi06ZNiIqKgoODA7y9vTFy5EhoaGio9eQBZbVGPXz4EJMmTcKqVavwySefQBAE7Ny5E+PGjYOGhgaWLVuGgQMHIicnB0eOHEFCQgKsra2VtAWsulPPXyZTafLE5vbt2wgMDIS/vz90dXUxffp0FBYWYtq0aRgyZAi+/PJL2NraYv369eK6K1euRExMDFq3bq3ELWCMMdUgCAL279+PoUOHIigoCEVFRTh37hzCw8OxadMm+Pr6QlNTEwYGBli+fDmMjY1x+fJl2NvbKzv0Cufl5YW1a9eWWi6VStU2sZGff1++fInY2FhIJBJ4e3sjLy8PmpqaaNKkiVj2ww8/hEwmw8CBA9GjRw+0bNkSY8aMwfDhw2FiYqLErWDVnXr+OpnKkh9Y//zzT7Ro0QKfffYZFi1aBJlMBnNzcyQmJgIAgoODER4ejitXrmDgwIFwd3dHZGQkDh48iPPnz6tdH3DGGKsIYWFhmDRpEr7++muMHDkSkZGRaN26NbZt24bU1FTs3bsXXl5ecHV1xfTp0wEAFhYWSo668pTViqGuXdHk51/5dNcGBgbQ09PDr7/+iry8PDx9+hR5eXkQBEEce/XRRx9h8eLFuH79Olq2bAl9fX1lbwZjPFsaq1okEgmePn2K9u3bo3v37li0aJG4/OXLlzh//jzq1q2LTz/9FFZWVhg7dixiY2Nx8uRJSCQSXL16VRz8yRhjrJj8gZREJP4/ANy/fx8dO3bEyJEjERcXh65du6J79+5Yt24djh07Js6Apa+vDwsLi2qV2ACoFpMFAMX1QiKR4O7du/D390ebNm0QEhKC3bt3Q0NDA76+vujZsyc+/vhjPH78WHxuTUFBAXR0dNS2iyJTTTyhAKtynjx5gn79+sHa2hpTpkyBv78/lixZggULFmD69OmwsrLC8uXLoa2tjZ07d8Ld3R0Aqt3gTsYYextljWH08/PD5MmTAQChoaHw9vZG9+7dYWlpia1btyI5ORl+fn54+PAhPvroI/z8889K3gpW0V69eoUePXrA29tbHMcKvK4/8oklYmJisG7dOmhqauK3335DSEgIrl+/DmdnZyVGz9hr3C2NVTmOjo7Yvn07xo8fj6VLl8LS0hKHDh3C/v370bFjRwBAYGAgnJyccP78eTG5KTnLD2OMsTePYZwxYwakUimmTp2KJk2aIDY2Fk+fPsW0adMAFB9PmzVrhtmzZ8Pf31/JW8EqQ2JiIhISEtC7d2+FmfPk//X398f8+fOxZs0adO3aFXZ2dtDR0cFvv/3GiQ2rUvhqkFVJbm5uWLNmDXJzc7F9+3ZMmTIFHTt2BBGhsLAQmpqaaNiwISwtLcV1qkv3AcYYext/H8M4fPhw7N+/H9u3b8fIkSORmJiIvLw8AICuri7y8/OxZ88epKenY9myZXjw4AE6deoEJycnJW8Jqwy3bt1CbGwsWrVqBYlEotB9USqVAgA8PDwwa9YsxMfH48yZMzh//jwaN26srJAZKxMnN6zKqlOnDtavX49WrVrhzJkzuHTpEgRBgJaWFkJCQpCRkYFmzZopO0zGGKuS3mYMY+PGjdGlSxccOnQIY8eOxb59+9CgQQNs2bIFISEh1W6MTXXm6OgITU1N7Nu3D4Bibwh5l+8ffvgB48ePh4GBAezt7WFubq6UWBn7J5zcsCrNxcUFa9euBRFh0aJFuHnzJpYuXYply5Zh7969sLOzU3aIjDFWZUmlUjg5OSE/Px9XrlwBACxZsgSHDx9G7969MXnyZDx58gTfffcdfHx8cPr0aaxduxahoaF8R76acXBwgKGhIX766SfExsaKy0sOzY6NjYWPjw+0tbWVESJjb4UnFGAqITo6GpMmTcKNGzeQmpqK33//HT4+PsoOizHGqrzo6GiMHz8e2tra4hjGbdu2iWMYY2Nj4eTkhJCQEAwfPlzJ0TJl2rdvHz766CP069cP06ZNE8e05uTkYOHChfjll1/w22+/oU6dOkqOlLE34+SGqYwHDx5gypQp+Oqrr+Dh4aHscBhjTGVERUVh3LhxuHz5MhYsWIDPP/8cRISioiIkJSWha9eu+PLLL9GnT58yn+3CqgeZTIaNGzdi3LhxcHV1RYsWLaCrq4tnz57h2rVrOHHiBLfosSqPkxumUgoLC6GlpaXsMBhjTOU8evQIY8aMgYaGBqZPn45WrVoBAGbPno2ff/4ZFy5c4K6+DABw48YNLFu2DA8fPoSBgQH8/PzwySefwM3NTdmhMfavOLlhjDHGqgl5FzUiwuLFi3Hq1CnMmTMHV69e5TvyTAE/O46pKk5uGGOMsWqExzCyt1GyeyJ3VWSqhGdLY4wxxqoRNzc3LF++HM2bN8fNmzc5sWFlKpnMcGLDVAm33DDGGGPVEI9hZIypI05uGGOMMcYYY2qBu6UxxhhjjDHG1AInN4wxxhhjjDG1wMkNY4wxxhhjTC1wcsMYY4wxxhhTC5zcMMYYY4wxxtQCJzeMMcYYY4wxtcDJDWOMMcYYY0wtcHLDGGOMMcYYUwuc3DDGGGOMMcbUAic3jDHGGGOMMbXw/2EjVVvMZ+zzAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 1200x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "corr_matrix = data.corr()\n",
    "\n",
    "plt.figure(figsize=(12, 8))\n",
    "plt.imshow(corr_matrix, cmap='coolwarm', interpolation='nearest')\n",
    "plt.title('Correlation Matrix')\n",
    "plt.colorbar()\n",
    "\n",
    "for i in range(len(corr_matrix)):\n",
    "    for j in range(len(corr_matrix)):\n",
    "        plt.text(j, i, f'{corr_matrix.iloc[i, j]:.2f}', ha='center', va='center', color='black')\n",
    "\n",
    "plt.xticks(range(len(corr_matrix)), corr_matrix.columns, rotation=45)\n",
    "plt.yticks(range(len(corr_matrix)), corr_matrix.columns)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Այս գրաֆիկում տեսնում ենք տարբեր փոփոխականների հարաբերությունները իրար նկատմամբ։\n",
    "Ինչպես տեսնում ենք՝ սենյակներ ու ննջարաններ,տարածք ու սենյակներ,տարածք ու արժեք,սենյակներ ու սանհանգույցների միջև\n",
    "հարաբերությունը մյուս փոփոխականների հարաբերություններից ավելի շատ է։\n",
    "Իսկ հակառակը տների վիճակն ու հարկերը,ննջարաններն ու տների վիճակները շատ քիչ հարաբերություն ունեն իրար հետ։"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Scaterplot գնի և տարածքի վերաբերյալ"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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crVy5UgcPHmzyLHlOTo4sy1K/fv3aXTyef/75evbZZ7V69Wrt2LFDlmV5L1ev/1433XSTbrrpJu3atUvDhg3Tb3/7W/31r39t83vW/wx4eK7WqOvzzz/3DhxXVFSk1atXa/HixbrtttuafF23bt2UmpraYIT2xraprKwsZI57AIAv7iEHALTbO++80+gI5J77YT2XTZ9zzjmKiorSkiVLGpzh87zec/az7vqOHDmixx57rMH6k5OTG72E3VPAFhcX+0wfOXKkcnJy9OCDD6qsrKzB67777rsmtzFQsrKyNGzYMD377LM+7f3000/15ptv6oc//KF3WlPb1ZiTTz5Z3bt31xNPPKGqqirv9Ndff107duzQ9OnT/bYNHTVz5kxZlqXFixc3mOc5Ds4991xFR0dr8eLFDY41y7IajQKrb9KkSercubOef/55Pf/88xo9erTPLQnl5eWqrKz0eU1OTo46derksw8bs3r16kan1/8MeLz88ss+8XP//e9/tX79ek2bNk1S458DSQ1GQ4+KitI555yjV199tUFEXN3Xz5o1S+vWrdPKlSsbLFNcXKyamprmNg8AEGCcIQcAtNu1116r8vJy/eQnP9HAgQN15MgR5ebm6vnnn1ffvn01d+5cSdKAAQP061//2jvg1bnnnqv4+Hht2LBB2dnZuueeezR+/HhlZGRozpw5uu666+RyufSXv/yl0YJ/5MiRev7553XjjTdq1KhRSklJ0dlnn62cnBylp6friSeeUKdOnZScnKwxY8aoX79++uMf/6hp06ZpyJAhmjt3rnr27KlvvvlG77zzjlJTU/Xqq68Ge/fpgQce0LRp0zRu3Dhdfvnl3tiztLQ0LVq0yGd7JRP5dsEFFyg2NlZnn312o/eXx8bG6r777tPcuXN12mmn6cILL/TGnvXt21c33HBDsDavRaeffrr+3//7f3rkkUe0a9cu7yXZ7733nk4//XRdc801ysnJ0Z133qmFCxdqz549Ouecc9SpUyft3r1bL730kq644gotWLCg2feJjY3Vueeeq+eee06HDx/Wgw8+6DP/888/15lnnqlZs2Zp8ODBiomJ0UsvvaTCwkJdcMEFza57xowZ6tevn/f4O3z4sN566y29+uqrGjVqlM4++2yf5QcMGKAJEyboqquuUlVVlR5++GF16dLFe0l5amqqTj31VN1///2qrq5Wz5499eabbzZ6pcjdd9+tN998U6eddpquuOIKDRo0SPv379cLL7yg999/X+np6br55pv1r3/9Sz/60Y906aWXauTIkTp8+LC2bt2qf/zjH9qzZ483Sg8AYANbxnYHADjC66+/bl122WXWwIEDrZSUFCsuLs4aMGCAde2111qFhYUNlv/Tn/5kDR8+3IqPj7cyMjKs0047zVq1apV3/gcffGCNHTvWSkxMtLKzs70xapKsd955x7tcWVmZddFFF1np6emWJJ8orVdeecUaPHiwFRMT0yBmbPPmzda5555rdenSxYqPj7f69OljzZo1y1q9erV3GU/s2XfffdeqfeCJPXvhhReaXa6x2DPLsqy33nrLOuWUU6zExEQrNTXVOvvss63t27c3eP0dd9xh9ezZ04qKimpVBNrzzz/v3dedO3e2Lr74Yp+4LctqX+xZS8vOmTPHSk5ObnJe/bi6mpoa64EHHrAGDhxoxcXFWd26dbOmTZtmbdy40We5f/7zn9aECROs5ORkKzk52Ro4cKA1f/58a+fOnS223bIsa9WqVZYky+VyWV999ZXPvO+//96aP3++NXDgQCs5OdlKS0uzxowZY/39739vcb1/+9vfrAsuuMDKycmxEhMTrYSEBGvw4MHWr3/9a6u0tNS7nKf/H3jgAeu3v/2t1atXLys+Pt6aOHGi9fHHH/us8+uvv7Z+8pOfWOnp6VZaWpp13nnnWfn5+ZYk6/bbb/dZdu/evdbs2bOtbt26WfHx8Vb//v2t+fPnW1VVVd5lDh06ZC1cuNAaMGCAFRcXZ3Xt2tUaP3689eCDDzaIKAQABJfLsho59QAAAAC/2bNnj/r166cHHnigxTP6AIDIwT3kAAAAAADYgIIcAAAAAAAbUJADAAAAAGAD7iEHAAAAAMAGnCEHAAAAAMAGFOQAAAAAANggxu4GBJrb7VZ+fr46deokl8tld3MAAAAAAA5nWZYOHTqk7OxsRUU1fR7c8QV5fn6+evXqZXczAAAAAAAR5quvvtIxxxzT5HzHF+SdOnWSZHZEamqqX9ddXV2tN998U1OmTFFsbKxf143QQB87G/3rbPSv89HHzkb/Oh997GyR3r+lpaXq1auXtx5tiuMLcs9l6qmpqQEpyJOSkpSamhqRB1kkoI+djf51NvrX+ehjZ6N/nY8+djb612jptmkGdQMAAAAAwAYU5AAAAAAA2ICCHAAAAAAAG1CQAwAAAABgAwpyAAAAAABsQEEOAAAAAIANKMgBAAAAALABBTkAAAAAADagIAcAAAAAwAYU5AAAAAAA2ICCHAAAAAAAG1CQAwAAAABgAwpyAAAAAABsEGN3AwAAAAAAaI7bLW3bJhUVSRkZ0pAhUpQDTi/bugmHDh3S9ddfrz59+igxMVHjx4/Xhg0bvPMty9Jtt92mrKwsJSYmatKkSdq1a5eNLQYAAAAABFNurnTJJdLs2dKVV5rHSy4x08OdrQX5T3/6U61atUp/+ctftHXrVk2ZMkWTJk3SN998I0m6//779cgjj+iJJ57Q+vXrlZycrKlTp6qystLOZgMAAAAAgiA3V1qwQNq0SUpPl/r2NY+bN5vp4V6U21aQV1RU6J///Kfuv/9+nXrqqRowYIAWLVqkAQMG6PHHH5dlWXr44Yf1m9/8RjNmzNCJJ56oP//5z8rPz9fLL79sV7MBAAAAAEHgdkuPPiodPCgNGCClpEjR0eYxJ8dcvr50qVkuXNl2D3lNTY1qa2uVkJDgMz0xMVHvv/++du/erYKCAk2aNMk7Ly0tTWPGjNG6det0wQUXNLreqqoqVVVVeZ+XlpZKkqqrq1VdXe3XbfCsz9/rReigj52N/nU2+tf56GNno3+djz52Nn/07/bt0pdfSn36SHFxDef37i3l5Ulbt0qDB7f7bQKitdvtsizLCnBbmjR+/HjFxcVpxYoV6tGjh/72t79pzpw5GjBggJYvX65TTjlF+fn5ysrK8r5m1qxZcrlcev755xtd56JFi7R48eIG01esWKGkpKSAbQsAAAAAAJJUXl6uiy66SCUlJUpNTW1yOVtHWf/LX/6iyy67TD179lR0dLRGjBihCy+8UBs3bmz3OhcuXKgbb7zR+7y0tFS9evXSlClTmt0R7VFdXa1Vq1Zp8uTJio2N9eu6ERroY2ejf52N/nU++tjZ6F/no4+dzR/9u327NG+elJYmJSc3nH/4sFRSIi1bFnpnyD1XarfE1oI8JydH7777rg4fPqzS0lJlZWXp/PPPV//+/ZWZmSlJKiws9DlDXlhYqGHDhjW5zvj4eMXHxzeYHhsbG7APeiDXjdBAHzsb/ets9K/z0cfORv86H33sbB3p36FDpf79zQBuOTmSy3V0nmVJ+/ZJI0aY5UItAq212xwSzU5OTlZWVpaKioq0cuVKzZgxQ/369VNmZqZWr17tXa60tFTr16/XuHHjbGwtAAAAACDQoqKka64xueN5eVJZmVRbax7z8sz0+fNDrxhvC1vPkK9cuVKWZen444/XF198oZtvvlkDBw7U3Llz5XK5dP311+vOO+/Uscceq379+unWW29Vdna2zjnnHDubDQAAAAAIgvHjpQcfNKOt79ghFRZK8fHmzPj8+WZ+OLO1IC8pKdHChQv19ddfq3Pnzpo5c6buuusu7+n9X/ziFzp8+LCuuOIKFRcXa8KECXrjjTcajMwOAAAAAHCm8eOlsWOlbdtM1FlGhjRkSHifGfewtSCfNWuWZs2a1eR8l8ulJUuWaMmSJUFsFQAAAAAglERFmXvFncYB/1MAAAAAACD8UJADAAAAAGADWy9ZBwAAAACEPrc7sPdw19RIr7wi5edL2dnSjBlSTARUqxGwiQAAAACA9srNPTrKeVWVGeV80CATSeaPUc6XLZPuvlv69ltT+EdFSd27S7/6lTRvXsfXH8q4ZB0AAAAA0KjcXGnBAmnTJik9Xerb1zxu3mym5+Z2bP3Llpn1FBRICQlSaqp5LCgw05ct88NGhDAKcgAAAABAA263OTN+8KA0YICUkiJFR5vHnBxz+frSpWa59qipMWfGjxyR0tKkuDhzdjwuzjw/ckS65x6znFNRkAMAAAAAGti2zVymnpUluVy+81wuKTNT2r7dLNcer7xiLlNPSmp8/UlJUmGhWc6pKMgBAAAAAA0UFZl7xhMTG5+fmGjmFxW1b/35+ebselODt8XEmPn5+e1bfzigIAcAAAAANJCRYQZwq6hofH5FhZmfkdG+9Wdnm0vUm7okvabGzM/Obt/6wwEFOQAAAACggSFDzGjqBQWSZfnOsywzffBgs1x7zJhhRlMvL298/eXlUo8eZjmnoiAHAAAAADQQFWWizTIypLw8qaxMqq01j3l5Zvr8+e3PI4+JMdFmcXFSSYkZxM3tNo8lJWb6woXOziOnIAcAAAAANGr8eOnBB6Xhw6XiYmnPHvM4YoSZ3tEc8nnzzHoyM6XKSqm01DxmZZnpTs8hd/D/GgAAAAAAHTV+vDR2rBlNvajInBkfMqT9Z8brmzdPuvxyM5p6fr65Z3zGDGefGfeIgE0EAAAAAHREVJQ0dGjg1h8TI82cGbj1hyouWQcAAAAAwAYU5AAAAAAA2ICCHAAAAAAAG1CQAwAAAABgAwpyAAAAAABsQEEOAAAAAIANKMgBAAAAALABBTkAAAAAADagIAcAAAAAwAYU5AAAAAAA2CDG7gYAAAAAAMJTTY30yitSfr6UnS3NmCHFBKjKdLulbdukoiIpI0MaMkSKCvNTzBTkAAAAAIA2W7ZMuvtu6dtvTbEcFSV17y796lfSZZf5971yc6VHH5V27JCqqqT4eGnQIOmaa6Tx4/37XsFEQQ4AAAAAaJNly6QFC6QjR6SkJHNWvKZGKigw010uqUcP/7xXbq5Z58GDUlaWlJgoVVRImzeb6Q8+GL5FeZif4AcAAAAABFNNjTkzfuSIlJYmxcWZs+Nxceb5kSPSb3/rn/dyu82Z8YMHpQEDpJQUKTraPObkmMvXly41y4UjCnIAAAAAQKu98oq5TD0pyZwJr8vlMtO/+84/77Vtm7lMPSur8ffKzJS2bzfLhSMKcgAAAABAq+XnmzPSTQ3eFhPjvzPWRUXmnvHExMbnJyaa+UVF/nm/YKMgBwAAAAC0Wna2uUS9pqbx+TU1/hv9PCPDDOBWUdH4/IoKMz8jwz/vF2wU5AAAAAAQhtxuaetWae1a8xis+6hnzDCjqZeXS5blO8+yzPRu3fzzXkOGmNHUCwoaf6+CAmnwYLNcOKIgBwAAAIAwk5srXXKJNHu2dOWV5vGSS8z0QIuJMdFmcXFSSYkZxM3tNo8lJWb6TTf5572ioky0WUaGlJcnlZVJtbXmMS/PTJ8/P3zzyMO02QAAAAAQmTwxYJs2SenpUt++5tETAxaMonzePBM3lpkpVVZKpaXmMSvLTJ8713/vNX68Wefw4VJxsbRnj3kcMSK8I88kcsgBAAAAIGzUjwHzjDzuiQHLyzMxYGPHBv6s8bx50uWXm1HX8/PNveUzZpgz6NXV/n2v8ePNNm3bZgZwy8gwl6mH65lxDwpyAAAAAAgTbYkBGzo08O2JiZFmzgz8+0im+A7GNgVTmP8/AQAAAAAih9NjwCINBTkAAAAAhAmnx4BFGgpyAAAAAAgTTo8BizQU5AAAAAAQJpweAxZp6CYAAAAACCNOjgGLNIyyDgAAAABhxqkxYJGGghwAAAAAwpATY8AiDf8/AQAAAADABhTkAAAAAADYgIIcAAAAAAAbcA85AAAAALSD282gaugYCnIAAAAAaKPcXOnRR6UdO6SqKik+Xho0yGSEEzuG1uL/NwAAAADQBrm50oIF0qZNUnq61Levedy82UzPzbW5gQgbFOQAAAAA0EputzkzfvCgNGCAlJIiRUebx5wcc/n60qVmOaAlFOQAAAAA0ErbtpnL1LOyJJfLd57LJWVmStu3m+WAllCQAwAAAEArFRWZe8YTExufn5ho5hcVBbddCE8U5AAAAADQShkZZgC3iorG51dUmPkZGcFtF8ITo6wDAAAAQCsNGWJGU9+82dwzXveydcuSCgqkESPMcoHkiVw7cMB8delivoheCy8U5AAAAADQSlFRJtpswQIpL8/cM56YaM6MFxSYM+Pz5we2KPZErn30kVRYKB05IsXFST16SCefTPRaOOF/JwAAAADQBuPHSw8+KA0fLhUXS3v2mMcRI8z0QBbDnsi1Dz4wxXhNjZSQINXWmucffED0WjjhDDkAAAAAtNH48dLYseay8aIic2Y80JeL141cq642RXhKipkXGyuVl5sC/eBBE702diyXr4c6CnIAAAAAaIeoKGno0OC9nydyrVMnaf9+c2bcw+Uyg8mVlUnZ2Uej14LZPrQd/y8BAAAAgDDgiVyLjjZny+uf/fZMj44mei1cUJADAAAAQBjwRK7V1ppi3O32ne+ZXltL9Fq4oCAHAAAAEPbcbmnrVmntWvNYv1h1Ak/k2qFDUnKyVFl5dJ5lmbPiKSlm/uDBgY9eQ8fZWpDX1tbq1ltvVb9+/ZSYmKicnBzdcccdsizLu4xlWbrtttuUlZWlxMRETZo0Sbt27bKx1QAAAABCSW6udMkl0uzZ0pVXmsdLLnHeSOOeyLXOnU3MWXS0uWf8yBEzoFt0tBQTY+YHOnoN/mFrF9133316/PHH9eijj2rHjh267777dP/99+sPf/iDd5n7779fjzzyiJ544gmtX79eycnJmjp1qirr/jsIAAAAQETyxIBt2iSlp0t9+5rHzZudGf/liVwbP97kjsfEmDPl0dHm+YQJgY9eg//YOsp6bm6uZsyYoenTp0uS+vbtq7/97W/673//K8mcHX/44Yf1m9/8RjNmzJAk/fnPf1aPHj308ssv64ILLrCt7QAAAADsVTcGbMAAM9K4ZC7bzsmR8vKcGf9VN3LtwAHz1aWL+Qp09Br8y9aCfPz48XryySf1+eef67jjjtPHH3+s999/X7/73e8kSbt371ZBQYEmTZrkfU1aWprGjBmjdevWNVqQV1VVqaqqyvu8tLRUklRdXa3q6mq/tt+zPn+vF6GDPnY2+tfZ6F/no4+djf51Pn/08fbt0pdfSn36mEu46+vd2xTlW7eae6qdZuDAhtNqa82X3SL9M9za7XZZdW/YDjK3261f/epXuv/++xUdHa3a2lrdddddWrhwoSRzBv2UU05Rfn6+srKyvK+bNWuWXC6Xnn/++QbrXLRokRYvXtxg+ooVK5SUlBS4jQEAAAAAQFJ5ebkuuugilZSUKDU1tcnlbD1D/ve//13/+7//qxUrVmjIkCHasmWLrr/+emVnZ2vOnDntWufChQt14403ep+XlpaqV69emjJlSrM7oj2qq6u1atUqTZ48WbGxsX5dN0IDfexs9K+z0b/ORx87G/3rfP7o4+3bpXnzpLQ0M+p4fYcPSyUl0rJlzjxDHsoi/TPsuVK7JbYW5DfffLN++ctfei89Hzp0qPbu3at77rlHc+bMUWZmpiSpsLDQ5wx5YWGhhg0b1ug64+PjFR8f32B6bGxswA6EQK4boYE+djb619noX+ejj52N/nW+jvTx0KFS//5mALecnKP3kEsmBmzfPmnECLMc91XbI1I/w63dZlsPy/LyckXV+2RER0fL/X+hgf369VNmZqZWr17tnV9aWqr169dr3LhxQW0rAAAAgNDiiQHLyDD3ipeVmfuny8rM84wM4r8Q2mw9Q3722WfrrrvuUu/evTVkyBBt3rxZv/vd73TZZZdJklwul66//nrdeeedOvbYY9WvXz/deuutys7O1jnnnGNn0wEAAACEAE8M2KOPSjt2SIWFUny8OTM+fz7xXwhtthbkf/jDH3Trrbfq6quv1rfffqvs7GzNmzdPt912m3eZX/ziFzp8+LCuuOIKFRcXa8KECXrjjTeUkJBgY8sBAAAAhIq6MWBFRebMOPFfCAe2FuSdOnXSww8/rIcffrjJZVwul5YsWaIlS5YEr2EAAAAAwkpUlLlXHAgn/M8IAAAAAAAbUJADAAAAAGADCnIAAAAAAGxAQQ4AAAAAgA0oyAEAAAAAsAEFOQAAAAAANqAgBwAAAADABhTkAAAAAADYgIIcAAAAAAAbUJADAAAAAGADCnIAAAAAAGxAQQ4AAAAAgA0oyAEAAAAAsAEFOQAAAAAANqAgBwAAAADABhTkAAAAAADYgIIcAAAAAAAbUJADAAAAAGADCnIAAAAAAGxAQQ4AAAAAgA0oyAEAAAAAsAEFOQAAAAAANqAgBwAAAADABhTkAAAAAADYgIIcAAAAAAAbUJADAAAAAGADCnIAAAAAAGxAQQ4AAAAAgA0oyAEAAAAAsAEFOQAAAAAANqAgBwAAAADABhTkAAAAAADYgIIcAAAAAAAbUJADAAAAAGADCnIAAAAAAGxAQQ4AAAAAgA0oyAEAAAAAsAEFOQAAAAAANqAgBwAAAADABjF2NwAAgFDhdkvbtklFRVJGhjRkiBTFv64BALBFJPxepiAHAEBSbq706KPSjh1SVZUUHy8NGiRdc400frzdrQMAILJEyu9lh/1/AQCAtsvNlRYskDZtktLTpb59zePmzWZ6bq7NDQQAIIJE0u9lCnIAQERzu81/4A8elAYMkFJSpOho85iTYy6TW7rULAcAAAIr0n4vU5ADACLatm3mcrisLMnl8p3nckmZmdL27WY5AAAQWJH2e5mCHAAQ0YqKzL1piYmNz09MNPOLioLbLgAAIlGk/V6mIAcARLSMDDNQTEVF4/MrKsz8jIzgtgsAgEgUab+XKcgBABFtyBAzamtBgWRZvvMsy0wfNMjcq7Z2rbR1q1RTYx49z51yHxsAAHZrze/lwYPNck5A7BkAIKJFRZkIlQULpLw8c29aYqL5D3xBgRQTI333nXTppeYSuZqao/ErMTHOjWEBAMAOLf1ezsiQ5s93Th65QzYDAID2Gz9eevBBafhwqbhY2rPHPPbqZeZ/9ZWJW0lLkwoLzR8EhYVmmlNjWAAAsEtTv5dHjDDTnfQPcM6QAwAg88t97FgzamtRkSm+771X2rfPxK5I0uefS7W1Zl55ubR3r/ljISfH/Bd/6VKzDqf81x4AALvU/72ckWEuU3fa71gKcgAA/k9UlDR0qPl+61bps8+Oxq6UlkplZeYSdZdLSkgwzw8dklJTfWNYPOsAAADtV/f3slM57P8LAAD4R/3YlepqM3hbdLR5HhVlnldXm+dOi2EBAACBR0EOAEAj6seuxMaaIry21jx3u83z2Fjz3GkxLAAAIPAoyAEAaET92JVOnaSUFHMW3LKkykrzvFMnZ8awAACAwKMgBwCgEZ7YlYwMM2Db4cNS797mkvWSEvPYu7eZnpfnvBgWAAAQePzZAABAE+rHrpSUSD16mIHeevQwz50awwIAAAKPUdYBAGhGY7ErgwZJO3Y4O4YFAAAEHgU5AAAtaCx2xekxLAAAIPD4fz4AAAAAADagIAcAAAAAwAYU5AAAAAAA2IB7yAEAYcft9h1krf6gam63tH27+X77dnO/N4OuAQAilef35oED5qtLF/PV1kFJW/r9G6jXOpmtBXnfvn21d+/eBtOvvvpqLV26VJWVlbrpppv03HPPqaqqSlOnTtVjjz2mHj162NBaAEAoyM2VHn3UjHJeVSXFx5tRz6+5xoyI7pn/5ZfSwoXSvHlS//5H5wMAEEk8vxc/+kgqLJSOHJHi4kx858knt/73Y0u/fwP1Wqez9X8SGzZs0P79+71fq1atkiSdd955kqQbbrhBr776ql544QW9++67ys/P17nnnmtnkwEANsrNlRYskDZtktLTpb59zePmzWb6smVH56elmdekpR2dn5trY+MBAAgyz+/NDz4wxXhtrZSQINXUmOee+S39fmzp929zr1+/vv2vjQS2FuTdunVTZmam9+vf//63cnJydNppp6mkpERPP/20fve73+mMM87QyJEjtXz5cuXm5urDDz+0s9kAABu43ea/6wcPSgMGSCkpUnS0eczJMdPvuefo/ORk87rkZDO/qEhautSsBwAAp/P83jxwwBTgtbVSUpI5O56SYp4fOWJ+bzb3+7Gl378t/X598sn2vzYShMw95EeOHNFf//pX3XjjjXK5XNq4caOqq6s1adIk7zIDBw5U7969tW7dOo0dO7bR9VRVVamqqsr7vLS0VJJUXV2t6upqv7bZsz5/rxehgz52Nvo3vGzfbi5D79PH/DFRX5cu5lK4nj3N/NhY06+ex969pbw8aetWafDgYLYcgcJn2NnoX+ejjwPL83uza1epuNhcMRZTp/qLjZWqq83vz+Z+P7b0+7ep36+eft2zp7rNr3WC1h7XLsuyrAC3pVX+/ve/66KLLtK+ffuUnZ2tFStWaO7cuT7FtSSNHj1ap59+uu67775G17No0SItXry4wfQVK1YoKSkpIG0HAAAAAMCjvLxcF110kUpKSpSamtrkciFzhvzpp5/WtGnTlJ2d3aH1LFy4UDfeeKP3eWlpqXr16qUpU6Y0uyPao7q6WqtWrdLkyZMVGxvr13UjNNDHzkb/hpft280AbWlpRy9Hr6uw0JwhHzTIDFQTG1utiy5apRUrJqu6OlaHD0slJeY+c6f9Fz5S8Rl2NvrX+ejjwPL83oyOlr74wpwdr3uGvLbWnCEfMMB839Tvx5Z+/zb1+9XTv7/97WQlJsa26bVO4LlSuyUhUZDv3btXb731ll588UXvtMzMTB05ckTFxcVKT0/3Ti8sLFRmZmaT64qPj1d8fHyD6bGxsQH7oAdy3QgN9HHzAh1jEej107/hYehQM1r65s3mvjOX6+g8yzL3yKWmmseMjKPzqqtjdeRIrPbtk0aMIALNifgMOxv963z0cWB4fm9u2mQK8ZIScw+55/fn4cNHf2+OHNn078eWfv+29Pu1b99YbdgQ267XhrPWHtMhsdnLly9X9+7dNX36dO+0kSNHKjY2VqtXr/ZO27lzp/bt26dx48bZ0UwAjcjNlS65RJo9W7rySvN4ySX+GzEz0OtH+IiKMvEoGRnmfrOyMvMf/bIy87xzZxNz1rmzeX74sHnd4cPmeUaGNH++837hAwDQGM/vzc6dTUEeHS2Vl5uB3MrKzPO4ODO/ud+PLf3+ben36xVXtP+1kcD2TXe73Vq+fLnmzJmjmDrXUKSlpenyyy/XjTfeqHfeeUcbN27U3LlzNW7cuCYHdAMQXB2JwAiF9SP8jB8vPfigNHy4GaBmzx7zOGKEmT5v3tH5JSXmNSUlR+dHetYpACCyeH5vnnKKuZ0rOlqqrDQFeo8eZnprfj+29Pu3udePGdP+10YC2y9Zf+utt7Rv3z5ddtllDeY99NBDioqK0syZM1VVVaWpU6fqscces6GVAOqrH4HhuQTJE2ORl2diLMaObd9/PQO9foSv8eNNvzd1G4Nn/tat5pf+smXOvBQOAIDWqPt788AB89Wli/lqy22ALf3+DdRrnc72gnzKlClqaqD3hIQELV26VEuXLg1yqwC0ZNs2M4BWVpbv/UCSeZ6ZaQYB2bbNFEOhtn6Et6io5vs9KsoMDrNnj3nkFz4AIJK19HszGOvxVxuchj9RALRLUZFUVSUlJjY+PzHRzC8qCs31AwAAAHajIAfQLhkZUny8VFHR+PyKCjO/7mjXobR+AAAAwG4U5ADaZcgQk/dcUGBiK+qyLDN98GCzXCiuH6jL7Tb3nK9dax7dbrtbBAAAIgEFOYB26WgEht3rBzyI1gMAAHbhT1kA7daRCIxQWD9AtB4AALCT7aOsAwhvgY6xICYDgUK0HgAAsBsFOYAOC3SMBTEZCASi9QAAgN34nz8AICIRrQcAAOxGQQ4AiEhE6wEAALtRkANoF2Kiwgd91Tii9QAAgN24hxxAm+XmmsGwduwwl/TGx5vC5pprGPk81NBXTfNE6y1YYAZwy8w0l6lXVJhinGg9AAAQaPyZAaBNiIkKH/RVy4jWAwAAduIMOYBWIyYqfNBXrUe0HgAAsAsFOYBWIyYqfNBXbUO0HgAAsAP//wfQasREhQ/6CgAAIPRRkANoNWKiwgd9BQAAEPooyAG0GjFR4YO+AgAACH0U5ABazRMTlZFhBgUrK5Nqa81jXl7rYqIiLRO7Pdvrj33kj74KN5F2bAEAgPDHoG4A2sQTE+XJti4sNJc+jxhhCrzmYqIiLRO7Pdvrz33Ukb4KN43tt6FDpZkz7W4ZAABA0yjIAbRZe2KiPJnYBw+akb8TE819zJ5MbKdlPrdnewOxjyIh0qup/fbJJ6YgX79emjDB7lYCAAA0REEOoF3aEhMVaZnY7dneQO4jJ0d6Nbff0tPN9089Zf4x4YRjCwAAOAt/ngAIuLZkYjtBe7Y30vaRv7S03yRp5072GwAACE0U5AACLtIysduzvZG2j/ylpf0msd8AAEDooiAHEHCRlondnu2NtH3kLy3tN4n9BgAAQhcFOYCAC4VM7I5EYrX1te3Z3o7uI39FfoVbdFhT+82ypNJS831mplkGAAAg1DCoG4CA82RiL1hgBifLzDw6EnZBQeAzsZuKErv66va/trkYsvZsb0f2kb+i0sIxlq6x/VZZab6vrjbL5OVJs2eH9nYAAIDIxBlyAEHhycQePlwqLpb27DGPI0YENvLME4m1aZMZdbtvX/O4ebP0m9+0/7ULFpj5TWnP9rbnNR1pYyDWY4e6++2bb6QtW8zZ8dRUMz87Ozy2AwAARB7OkAMImmBnYrcUJfb110eXa+trWxND1p7tbctr/BWV5oRYuvHjpdGjpR//2Jwh79tX6tLFzEtODp/tAAAAkYWCHEBQBTMTu6VIrB49zPeffSaddFLbXls3hqy57WnP9rb2Nf5qo7/WY7cdO6T9+03xnZLiuy3htB0AACBycI4AgGO1FImVkGAei4vb/tpQiCHzVxvDYVtbwynbAQAAIgcFOQDHaikSq7LSPKant/21oRBD5q82hsO2toZTtgMAAEQOCnIAbRYu0VgtRYkVFprvBw5s/rVutxkk7MAB8+h2ByeqrTlut/nq3FnatUv6/nvTNssyXyUl0pdfmgHNWor8CoVYutZo6bgLl+0AAADw4B5yAG0STtFYLUWJee4hb2yAL89r582T3nvPt/iLipL69AlsVFtzPH3w0UdmVPGKCnPvdHy8lJQk1daaaS6XKdZbivyyO5auNVpz3NXfjt69zfTDh6V9+0JjOwAAAOrizxIArRaO0VjNRYndeWf71ll/4LNg8vTBBx+YM/wulxlF3OUyl+AfOGDOjicmmm3u2TNwMW3B0pbjru52lJSYaSUlobEdAAAA9XGGHECrhHM0VlNRYrW10n/+0/hrPNtbXS1NnCiVlZnvY2PNNn/5ZfC319OmAwekmhrT/qQk0xcJCWbbLEuKizPTO3c28wIZ0xZo7TnuPNuxdav5x8KyZWZU9VA7LgEAACjIAbRKuEdjNRYlVlvb9PJ1tzcqSkpN9Z1vx/Z62pSaai4lj48/2heeS+pdLjO9rEw6dMgsG+iYtkBq73EXFWXuF9+zxzxSjAMAgFDEnygAWiXSIqVCcXs9bYqONgV4dPTReZ6C3LJMoep2mzP6drbXH0KxHwAAAPyFghxAq0RapFQobq+nTbW15oxv3TP8njPALpcpyqOizOX1drbXH0KxHwAAAPyFghyOFy4RXaHO35FS7e2XYPVnKEZoedp06JC5h7qq6mjb6p4tr6428zt1Cn57/d0/odgPAAAA/sI95HC0cIroCnX+jMZqb78Esz9DMQqsbpsqKkwRXl5uzoQfOWL2R02NKYJ79DCPwWxvIPonFPsBAADAX/gTBo4VjhFdoc4f0Vjt7Rc7+jMUo8A8bTrlFFN0R0ebuLOYGBNxdtppZlR4ywpuewPZP6HYDwAAAP7AGXI4UjhHdIW6jkRjtbdf7OzPUIwCq9umAwfMV5cu5stz6XYw2xuM/gnFfgAAAOgoCnI4UrhHdIW69kZjtbdf7O7PUIsCk1puUzDbG6z+CcV+AAAA6AjOLcCRiEoKTe3tF/oztNE/AAAA7dOhgvzIkSPauXOnampq/NUewC+ISgpN7e0X+jO00T8AAADt066CvLy8XJdffrmSkpI0ZMgQ7du3T5J07bXX6t577/VrA4H2ICopNLW1XzwRWgcOmMuh9++nP9vL7ZY+/lhavtx8bd5snvsjnozPGwAAQPu0qyBfuHChPv74Y61Zs0YJCQne6ZMmTdLzzz/vt8YB7eWJSsrIMANKlZVJtbXmMS+PqCS7tKVfcnOlSy6RZs+Wrr5a+uIL6fvvTfFIf7ZNbq501lnSD34gXXWVNG+eNGaMNGGC2b+zZ5t93d6R0Pm8AQAAtE+7/jx6+eWX9eijj2rChAly1RnBZ8iQIcrLy/Nb44COICopNLWmXxqL0OrZ04zaffiw9M039Gdr5eaaAvy998x93HFx5mx4TY3ZlwcOmIHXOhpPxucNAACg7do1yvp3332n7t27N5h++PBhnwIdsBtRSaGpuX5pLkLrhBPMmfKcHOnmm4/GfNGfjXO7pT/8Qdq71+yj5GSptNTMi4kx8ysrpcJCadgw6csvOxZPxucNAACgbdpVkJ988sl67bXXdO2110qStwj/4x//qHHjxvmvdYAfEJUUmprql5YitLKypPx8U4zTr83bts2c+Xa7zUjntbXmzHhUlNmXnn+AlJSYy8v9EU/G5w0AAKD12lWQ33333Zo2bZq2b9+umpoa/f73v9f27duVm5urd999199tBBBBWhOhVVhIhFZrFBWZM+CSKZSrq33ne/7h4Xabeenp7FsAAIBgateFhBMmTNCWLVtUU1OjoUOH6s0331T37t21bt06jRw50t9tBBBBiNDyn4wMyTPuptvd8NJxz4joUVFSbCz7FgAAINjadYZcknJycvTUU0/5sy0A4I3Q2rzZ3Cte97J1T4TWiBFEaLXGkCFmkLX8fFNsJyebe8c9l6273Wb/pqWZe/S//JJ9CwAAEEztOkP+n//8RytXrmwwfeXKlXr99dc73Cigozz51Y1lLDc3L5jtQOPCNUIrFPs6Kkq69lqpTx/TnrIyM8q6ZIpyt9ucQe/RwxTjobpvAQAAnKpdZ8h/+ctf6t57720w3bIs/fKXv9S0adM63DCgvXJzzSjdO3aYe5Hj480Z12uuMfObmufvWKbm2kEEVPM8EVqe/VdYaPbfiBGmYAy1/RfKfT1+vLRsmbRokbRhgzlTHhVlvuLjzeB4lhW6+xYAAMDJ2lWQ79q1S4MHD24wfeDAgfriiy863CigvTz51QcPmtG4ExNNAbJ5s8lilszgVfXnLVjg36zk5trh7/dyqnCJ0AqHvh4/XnrjDXPmftMmM23YMLMvS0pCd98CAAA4XbsK8rS0NH355Zfq27evz/QvvvhCycnJ/mgX0GbN5Vf37y+99555PnHi0cIjJcXcp5yX17H85da2w9/v5XShHqEVTn0dFSWddJL5AgAAQGho15+IM2bM0PXXX6+8vDzvtC+++EI33XSTfvzjH/utcUBbNJdfXVZmiifPfbR1uVy++cuBbIe/3wv2oq8BAADQEe0qyO+//34lJydr4MCB6tevn/r166dBgwapS5cuevDBB/3dRqBVmsuvrpu/XD+LWTKvqaryT/5ya3K0/fVesBd9DQAAgI5o9yXrubm5WrVqlT7++GMlJibqxBNP1Kmnnurv9gGtVje/OiXFd15sbOPfe/gzf7m5dvj7vWAv+hoAAAAd0e4ccpfLpSlTpmjKlCn+bA/Qbs3lV6ekmHtoXa6GhZO/s62HDJEGDpTWrzdxUnFxUqdO5r07+l5ud+gPchZJyEwHAABAR7S6IH/kkUd0xRVXKCEhQY888kizy1533XWtbsA333yjW265Ra+//rrKy8s1YMAALV++XCeffLIkE6V2++2366mnnlJxcbFOOeUUPf744zr22GNb/R6IDJ786gULzGBamZlHR7wuKDBZzJLJW64/z5/5yx9+KH3/vYnq+uYbc0Y+NdW8Z0VF+98rlKO1IlVLxxy53gAAAGhOqwvyhx56SBdffLESEhL00EMPNbmcy+VqdUFeVFSkU045Raeffrpef/11devWTbt27VJGnes777//fj3yyCN69tln1a9fP916662aOnWqtm/froSEhNY2HxGipfxqKbDZ1nUjsI4/3hRlpaXSgQMmXuqUU0wedFvfKxyitSJVuGWmAwAAIHS0uiDfvXt3o993xH333adevXpp+fLl3mn9+vXzfm9Zlh5++GH95je/0YwZMyRJf/7zn9WjRw+9/PLLuuCCC/zSDjhLS/nVgcq2biwCKztbOnRIOnLEFOddu5r37+h6pdCM1opU4ZKZDgAAgNDS5nvIq6urNXDgQP373//WoEGDOvTm//rXvzR16lSdd955evfdd9WzZ09dffXV+tnPfibJFP4FBQWaNGmS9zVpaWkaM2aM1q1b12hBXlVVpaqqKu/z0tJSb7urGxteuwM86/P3euEfAwce/b621ny1Zl5dbenj7dvN5fB9+pj7xj26dDGPqalm/tat0uDBrd2Kptfr0bu3Kcrbul74/zPc2uMKwcHPaOejj52N/nU++tjZIr1/W7vdLsuyrLauvGfPnnrrrbc6XJB7Ljm/8cYbdd5552nDhg36+c9/rieeeEJz5sxRbm6uTjnlFOXn5ysrK8v7ulmzZsnlcun5559vsM5FixZp8eLFDaavWLFCSUlJHWovAAAAAAAtKS8v10UXXaSSkhKlpqY2uVy7CvK7775bn3/+uf74xz8qJqbdA7UrLi5OJ598snJzc73TrrvuOm3YsEHr1q1rV0He2BnyXr166fvvv292R7RHdXW1Vq1apcmTJyu2sSwthL229PH27dK8eVJampSc3HD+4cPmPvJly9p+hjwQ6wWfYaejf52PPnY2+tf56GNni/T+LS0tVdeuXVssyNtVTW/YsEGrV6/Wm2++qaFDhyq5XpXw4osvtmo9WVlZGlyvghg0aJD++c9/SpIyMzMlSYWFhT4FeWFhoYYNG9boOuPj4xUfH99gemxsbMAOhECuG20TqFiw1vTx0KFS//5NR2Dt22cG+ho6tG1tas16hw83z9etM9s9aJAZYKzufpC4x7kpfIadjf51PvrY2ehf56OPnS1S+7e129yugjw9PV0zZ85sz0t9nHLKKdq5c6fPtM8//1x9/i+fql+/fsrMzNTq1au9BXhpaanWr1+vq666qsPvD2exOxYsUBFYLa03Jkb67jvp0kvNdtfUHN3+mBjz2LWrKeS/+47INAAAACBUtKkgd7vdeuCBB/T555/ryJEjOuOMM7Ro0SIlJia2681vuOEGjR8/XnfffbdmzZql//73v3ryySf15JNPSjIRatdff73uvPNOHXvssd7Ys+zsbJ1zzjntek84U6jEggUqAqup9fbqJe3fL331ldnuykpziXtlpZSQYM6CV1ZK779v1jNokNS3L5FpAAAAQChoU0F+1113adGiRZo0aZISExP1yCOP6LvvvtOf/vSndr35qFGj9NJLL2nhwoVasmSJ+vXrp4cfflgXX3yxd5lf/OIXOnz4sK644goVFxdrwoQJeuONN8ggh1eoxYIFKgKr/nrT0qR77zWXrA8YYJb5/HMzsndamlReLu3ZY/ZHdLS5vL2w0ESxEZkGAAAA2K9NBfmf//xnPfbYY5o3b54k6a233tL06dP1xz/+UVHt/Gv+Rz/6kX70ox81Od/lcmnJkiVasmRJu9YP59u2zZw1zsryvb9aMs8zM81Z423bzP3YwRAVFZj3qrverVulzz47ut2lpVJZmTlz7nKZM+T/l/rnnVZWZnLRU1Pt2zcAAAAAjDZV0fv27dMPf/hD7/NJkybJ5XIpPz/f7w0DWquoyNwX3dSdE4mJZn5RUXDbFWj1t7u62lwtEB1tnkdFmee1tWaa53ndSESn7hsAAAAgHLSpIK+pqWlwqXhsbGzEhr0jNGRkmDPAFRWNz6+oMPMzMoLbrkCrv92xsaborq01z91u8zw62kzzPK874KNT9w0AAAAQDtp0ybplWbr00kt9YsUqKyt15ZVX+kSftTb2DPCHIUPMYGVNxYIVFJhB1TzRX6HAH/Fs9be7Uydzb3hJiSnCKyuPXppeUmL2RXq6WU4KvX3jdpvL8DdtMs/bExHX0fcnFg5OwfEMAEB4aFNBPmfOnAbTLrnkEr81BmiPQMWNBYq/4tka2+7evc094SUl5h7yPn3Mexw8aF7To4f5Qz3U9k1urrRokbRhw9Ez/omJ0sknS4sXB34U+PXrpccesy8yD/AnuyMgAQBA67WpIF++fHmg2gF0SKDixvzN3/Fs9be7qsoU3UeOSHFxpjCPj5cmTjTLf/edGXk9lPZNbq40b570xRfmbH5ysjl774lrmzdPWrYssO38zW/MPyjsjMwD/CFUIiABAEDrtKkgB0JZoOLG/CVQ8WyNbfegQaZAr7sfpNDbN2639Ic/SHv3mrakpBydFxNjotv27TP7LRDRbG63eSwqCo3IPKAjQi0CEgAAtIyCHI4SqLgxfwhkPFtj293YOkJt32zbZs7cud0NR8l3ucyZ/Koqc195IKLZPvvMPGZmhk5kHtBeoRgBCQAAmsf/yIEgidR4tuYUFZlL06XGz9h5ItwqKwOzX4qLzWO98AivSOwThC9+xgAAEH4oyIEgidR4tuZkZBwthj2Xj9fliXBLSAjMfklPN4+efwrUF4l9gvDFzxgAAMIPBTkQJJ6YsoICM2hZXZ4IssGDQyOCLFiGDJGGDzdnx+sXEZZlzuZFRwcumm3gQPNYWEifIPzxMwYAgPBDQQ4EiSemLCPDDK5UVmbOAJeVmeetiSDzZHWvXWseGzurHE6ioqRrrzXxbG63dOiQVFMjVVcf3T+9e5v9FohBqDzrTE9vf5+g7Zx2HIcKf/yMAQAAwcWgbkAQdSSezanZwuPHm1gzTw754cNmemKiNGqUmR7o7bvzzqM55KEamecUTj2OQ0W4REACAACDghwIsvbEszk9W3j8eOmNN8zZ0k2bzLQRI8xI0ME4mzdmjGlDqMXCOY3Tj+NQEeoRkAAA4CgKcsAGbYlni5Rs4ago6aSTzJdd708UVOBEynEcKjieAQAID/zZA4S4tmQLA6GK4xgAAKAhCnIgxJEtDCfgOAYAAGiIghwIcWQLwwk4jgEAABqiIAdCXKhmC/szusqJMVhO3KaOCNXjOJg4JgAAQH0M6gaEOE+28IIFZuCrzMyjo1MXFNiTLezP6ConxmA5cZs6KhSP42DimAAAAI1x6J8+gLN4soWHD5eKi6U9e8zjiBHBj4ryRFdt2iSlp0t9+5pHT3RVbq496woVTtwmfwml4ziYOCYAAEBTOEMOhIlQyBb2Z3SVE2OwnLhN/hYKx3EwcUwAAIDmUJADYcTubOG2RFe11E5/ritUOHGbAsHu4ziYOCYAAEBz+H88gFbzZ3SVE2OwnLhN6BiOCQAA0BwKcgCt5s/oKifGYDlxm9AxHBMAAKA5FORACArVeCR/RlcFKgaro/uuLa+vv+ygQUR7hSI7P092xL0Fe3tD9ecVAADhgHvIgRATyvFI/oyuCkQMVkf3XVte39Syp51mRg+PxGivUPWzn5lC0Y7PU7Dj3oL98yOUf14BABAO+LMQCCHhEI/kz+gqf66ro/uuLa9vbtlnn5XmzIm8aK9QtH69efz4Y3s/T8GKewv2z49w+HkFAECo4ww5ECLCKR7Jn9FV/lhXR/ddW14vtbzs2rXSn/9szhpGQrRXKHK7pSeflGbOlPr3l2pqzHS7Pk+BjnsL9s+PcPp5BQBAKKMgB0JEuMUj+TO6qqPr6ui+++yz1r9eat2yO3aERj9Fqm3bpM8/N9+HyucpkHFvwf75EW4/rwAACFX83xoIEcQjtV9H911xcetfTz+FB08/NcVp/RTs45LPAQAA/kFBDoQI4pHar6P7Lj299a+nn8KDp5+a4rR+CvZxyecAAAD/oCAHQoQd8UihprXxSf6OGxs4sPWvp5/Cw5Ah0nHHme8joZ+CfVzyOQAAwD8oyIEQ4YlHysgwAyKVlUm1teYxL8/5kVm5udIll0izZ0tXXmkeL7mk4UjNjS03e7aJG2vvvmvLvo/0fgoXUVHSFVeY73fvdn4/Bfu45HMAAIB/8KsSCCHBikcKNa2NTwpk3Fhb9n2k9lO4GTPGPJ54YmT0U7CPSz4HAAB0HKOsAyEm0PFIoaa18UmjRwc+bqwt+z7S+imcPfWUGXE9Evop2MclnwMAADqGghwIQYGMRwo1rY1PeuWV4MSNtWXfR1I/hbNI66dgb2+k7V8AAPyJ/2EDsFVr45Py84lZAgAAgLNQkAOwVWvjk7KziVkCAACAs1CQA7BVa+OTZswgZgkAAADOQkGODmltbnSw1hOo9SFwWhufFBPju9yhQ+by9K+/NveOp6cTswQAAIDwwqBuaLfcXDPq9Y4d5t7d+HhzBvOaa9oWd+Ov9QRqfQg8T3ySp98KC02/jRhhimxPv3mWW7RI2rDh6OXriYlmpHUAAAAgnFCQo108edAHD5pRrxMTTXHkyY1ubQatv9YTqPUheNoSn3To0NEc8pQUKTranCmnjwEAABBOuLgTbVY/N9pTEHnyoIuKTG50S5eJ+2s9gVofgs8Tn3TqqeaxfjHu6eOiIlOsH3OMKcw7daKPAQAAEH4oyNFmrc2N3rYtOOsJ1PoQeuhjAAAAOAkFOdqstbnRLeVB+2s9gVofQg99DAAAACehIEebtTY3uqU8aH+tJ1DrQ+ihjwEAAOAkFORos9bmRreUB+2v9QRqfU7hpAg4O/q4NfvPH/vYSf0EAACA1mGUdbSZJzd6wQKTB52ZeXQ084KCo7nRLeVB+2s9gVqfEzgtAi7Yfdya/eePfey0fgIAAEDrRFBpAn/y5EEPHy4VF0t79pjHESPaFjvlr/UEan3hzBMBt2nT0Yiw9PSjEXC5uTY3sJ2C1cet2X/+2MdO7ScAAAC0jDPkaLe25EYHYz2BWl84qh8B5xmR3BMBl5dn4sHGjg3P/RLoPm7N/nv0UXOZfEf2sdP7CQAAAM2jIEeHeHKjQ2U9gVpfuGlLPFi47qdA9nFr9t+mTeZ5R/ZxJPQTAAAAmsY5F8CBiAfrmNbsv8pK89WRfUw/AQAARDYKcsCBiAfrmNbsv4QE89WRfUw/AQAARDYKcjgO8VFEwHVUa/bfiBFmYLmO7GP6CR0VTj/vwqmtAAAEC/eQw1GIjzKIgOuY1uy/a64xy3ZkH9NP6Ihw+nkXTm0FACCY+DMPjkF8lC8i4DqmNfvPH/uYfkJ7hNPPu3BqKwAAwcYZcjgC8VGNIwKuY1qz//yxj+kntEU4/bwLp7YCAGAHCnI4AvFRTYv0CLiOas3+88c+pp/QWuH08y6c2goAgB34fzQcgfgoAJEinH7ehVNbAQCwAwU5HIH4KACRIpx+3oVTWwEAsAMFOdotmBE2Lb0X8VGtQ+wQEP7C6eddOLUVAAA72FqQL1q0SC6Xy+dr4MCB3vmVlZWaP3++unTpopSUFM2cOVOFhYU2thgeubnSJZdIs2dLV15pHi+5JDCj5bbmvTzxURkZZpCgsjKpttY85uURHyUFt88ABE44/bwLp7YCAGAH238FDhkyRPv37/d+vf/++955N9xwg1599VW98MILevfdd5Wfn69zzz3XxtZCCm6ETVvei/iophE7BDhLOP28C6e2AgAQbLaPsh4TE6PMzMwG00tKSvT0009rxYoVOuOMMyRJy5cv16BBg/Thhx9q7NixwW4qFNwIm/a8F/FRDRE7BDhTOP28C6e2AgAQTLYX5Lt27VJ2drYSEhI0btw43XPPPerdu7c2btyo6upqTZo0ybvswIED1bt3b61bt67JgryqqkpVVVXe56WlpZKk6upqVVdX+7XtnvX5e72hbPt26csvpT59pLi4hvN79zYF3tat5r5Au96rzp0Pqq01X+3hhD4OZp+FGyf0L5oWKf3rr593weDvtkZKH0cq+tf56GNni/T+be12uyyr/jArwfP666+rrKxMxx9/vPbv36/Fixfrm2++0aeffqpXX31Vc+fO9SmuJWn06NE6/fTTdd999zW6zkWLFmnx4sUNpq9YsUJJSUkB2Q4AAAAAADzKy8t10UUXqaSkRKmpqU0uZ2tBXl9xcbH69Omj3/3ud0pMTGxXQd7YGfJevXrp+++/b3ZHtEd1dbVWrVqlyZMnKzY21q/rDlXbt0vz5klpaVJycsP5hw9LJSXSsmX+OUMerPdqihP6OBT2Y6hyQv+iafSv89HHzkb/Oh997GyR3r+lpaXq2rVriwW57Zes15Wenq7jjjtOX3zxhSZPnqwjR46ouLhY6enp3mUKCwsbvefcIz4+XvHx8Q2mx8bGBuxACOS6Q83QoVL//mYwsJyco/cjSybCZt8+M1DP0KEdvzcwmO/VknDu41Daj6EqnPsXLaN/nY8+djb61/noY2eL1P5t7TaH1J/fZWVlysvLU1ZWlkaOHKnY2FitXr3aO3/nzp3at2+fxo0bZ2MrI1swI2xCLS4nXDO8Q20/OlndY+Tjj81XuB0viBz1f6bV1LTuZ1y4/iwEACAU2XqGfMGCBTr77LPVp08f5efn6/bbb1d0dLQuvPBCpaWl6fLLL9eNN96ozp07KzU1Vddee63GjRvHCOs280TYPPqotGOHVFgoxcebs6zz5/s3wiaY79Wc9eulxx4zbaiqMm0YNMgUuuEQ2RMq+9HJcnOP7t+iInMbgGRuFcjICK/jBc5X93itqjLFuOdnW0xM0z/j6r8u3H4WAgAQamwtyL/++mtdeOGFOnDggLp166YJEyboww8/VLdu3SRJDz30kKKiojRz5kxVVVVp6tSpeuyxx+xsMv5PMCNsQiEu5ze/kQoKpKwsKTFRqqg4muEdLjm6obAfncqT837woJSUZIpxz1AWJSVS587hd7zAueoer1lZUmWlGWuislJKSDA/F+LjGx6z9V8Xrj8LAQAIJbYW5M8991yz8xMSErR06VItXbo0SC1CW0RFmfuOnfZedXkuxSwqckaGt1370cnq5rzn5EhbtkjV1eYYcbnMoHmFhdKwYSZ+LpyOFzhP3eN1wAAz7fPPzW0saWlSebm0d680fLjvz7jRo31fF+4/CwEACBX82gSa8dln5jEz03cwNMk8z8w0Z5a2bQt+2xAatm0zl+9mZZn78svKzNlFz/GSkHB0OscL7Fb3eHW5pEOHfI9Zz/F66JDvz7hXXvF9XV38LAQAoP0oyIFmFBebx4SExucnJppLk4uKgtYkhJiiInMMJCaaM+NutxQdfXR+VJSZVl3N8QL71T1epYbHbN3jVTp6zObn+76uPo5tAADah4IcaIYnca+ysvH5FRXmzFJGRtCahBCTkWGOgYoKKTbWFDS1tUfnu91mWmwsxwvsV/d4lRoes3WPV+noMZud7fu6+ji2AQBoHwpyoBkDB5rHwkLzh2ppqXTggHl0u81Ab4MHm0GQEJmGDDGjTBcUmPtpU1LMmULLMvMrK49O53iB3eoer5Ylderke8x6jtdOncxzzzF79tnmcvUvvzQDFXqOb8l3OY5tAADaxtZB3YBQ5xmcKCZGeu8937zdqCipTx8yvCOdJ+d9wQJTrPToYQbGKisz8+PjzbQvvyTzHfare7zm5Zl7v3v3Nvd/l5SY23N69zaDERYUmGP21FOlSy+VvvhC+vZb8w/KtDSpf3+zvGc5jm0AANqOX51AO9Uf2AiRy5PzPny4OVuYlmYK8YQE871lmcx3YqEQCuoer8XFphDv0cOcAe/RwzwvLjbH7Jw50rPPSps2ST17mtekpZllPv5Y+uYbjm0AADqCM+RAMzxnxKurpYkTzVnP6mpzf2VKCjFWOKp+zntampleUkLmO0JP/eM1I8Ncyr5jh+/z2bN9o85SUqTOnc1tO3v3Ssceawr2GP6aAACgXfgVCjSjbuxZVJSUmuo7v27UD/neIOcd4aSx47Xu861bG486c7mOXrKen2+W4bgHAKB9OF8DNIPYMwCRqn5EWn38/AMAoOMoyIFmEHsGIFLVj0irj59/AAB0HJesI2S43b73M4bCPbcDB0p79phRhY855uhlm5Z19B7KE04w91qGi8b2sxT4fR+K/RsMkbrdCH+eiLTNm6WcHN/L1j1RZyNGEHUGAEBHUJAjJOTmSo8+au5FrKoyZ10GDTLxPHaO3OspnNLTj0YEVVYezeJ1uaRdu8zAR3a3tTUa289du5rt+O67wO37UO3fQIvU7YYzNBaRlphozowTdQYAgH/waxS2y801f/Bt2mQK3759zePmzWZ6bq7NDZR0550m7uebb0zUT0mJGdRo+HATBRRKbW1KY/vZ5ZLef99krLtcgdn34dC/gRCp2w1nqR+RtmfP0Ug0os4AAOg4zpDDVm63OYNYN1ZHMtE6OTnmrEwoxIqNGWPa8OMfmzOdffqYEdc97Q2ltjamsf1sWeZS/Ojoo99nZ/t334dL//pbpG43nKmxiDRuvQAAwD/4dQpbbdvWeKyOZJ7XjRWz244d0v79JuonLa1hDFAotbW+xvbzoUMmVz0+3lyGWlZmpkn+255w6l9/itTthnN5ItJOPdU8UowDAOAf/EqFrcIpViec2lpfY22vrjZncqOjzR/XbreZ5uGP7QnnfdYRkbrdAAAAaBsKctgqnGJ1wqmt9TXW9thYU4jX1ppiPCrKTPPwx/aE8z7riEjdbgAAALQNBTn8xu2Wtm6V1q41j253y6/xxOoUFJj7mOvyxOoMHuwbq9Oe9/GH9rS1JcHYFrdbqqkxBeBnn5kBmSxL6tTJ3NNcVWUKxJQUM60j21NfIPZZOIjU7QYAAEDbMKgb/KK98U5tjdWxM0bK3xFAwdiW3Fzp9tuljz6SDh82hfm335oB6QYOlHr0MAOPSeZ7t9u/kUaRGpsUqdsNAACAtuHPQXRYR+OdWhurEwoxUv6KAArGtuTmSvPmmVizqipzBjwlxcwrKTHvXVYmTZxoviwrMJFGkRqbFKnbDQAAgNbjDDk6xF/xTi3F6oRSjFRHI4CCsS1ut/SHP0h795pB25KSzPvExpoztaWlZt0DBkj/+pf5PpCRRpEamxSp2w0AAIDWoSBHh7Ql3mno0ObX5YnVCfT7+ENzbW1JMLZl2zZztt3tNpfC13+f5GSpslL68kvTlqFDA7/fOrLPwlmkbjcAAABaxnkadEiw4p2cFCMVjG0pKjIFt2TOkNfnOUNbWRke+wwAAABwIgpydEiw4p2cFCMVjG3JyJASEsz3tbUN53tGc09ICI99BgAAADgRBTk6JFjxTk6KkQrGtgwZYgYTi4oyZ9vrv09FhTlzPmJEeOwzAAAAwIkoyB3I7ZY+/lhavtx8ffxx4LK6PfFO6enmvuevvzaXQB86ZAYn81e8k+d9MjLMesvKzJnfsjL/vk8wBGNboqKka6+V+vQ5uu7qavNVUmLiz7p3l66+Ojz2GQAAAOBE/CnuMLm50llnST/4gXTVVebrBz+Qpk4NbCxYSoopxHfsMJnXH38s9erl33gnJ8VIBWNbxo+Xli2TJkwwl8CXlZlivLrajLbuckmPPRacuDgAAAAADTHKuoN4cqe/+MIUW8nJ5lLlykqTRT1vninQ/Fm4evK0Dx6UTjrp6NnY4mJzltzfnBQjFYxtGT9eWrlS+stfpDvukA4flo45Rura1RwXntzzcPuHBgAAAOAEFOQOUTd3OirKnLH2iImRysulfftM/rW/srqbytNOT5d69gxcNriTYqSCtS0rV5rjYORIezPcAQAAABzFn98OUTd3un6clstlLlmurZU2bTLL+us9W5unDfvQTwAAAEBooiB3iLq5042d5fRkUfszd9pJ2eBORj8BAAAAoYmC3CHq5k43NqK6J4van7nTTsoGdzL6CQAAAAhN3EPuEJ7c6W++MQN3JSSYM+V1z4y7XGZAL7fbfHX0fmFPnvbmzeZe5LqXQ3vytIORc+12O2OQt8b4Y9va2k+tec+WlnFyn7QV+wIAAABNoSB3iKgoE2/2+uumIK+qMtOiokzR5XZLcXFmBPZLLzUF2jXXdGxkbU+e9oIFZmCwzExz+XNFhSnygpENnptrBpbbscNsc3y8f7YtFPhr29rST615z5aWcXKftBX7AgAAAM3hPI1D5OZKzz4rpaWZr6goU4RXV0s1NaYYHzRIGjzYjILuibvqaAa1ndngnsi1TZvMNvXt699ts5O/t601/dSa92xpmWXLnNsnbeXk4xMAAAD+wRlyB6gbP+aJ0Dp0yBRce/eaM+YZGVJ2trlc2d9xV3ZkgzcVueaEKK9AbVtz/dSa93z0UXO1RVPLfPGFdM895nYJp/VJWzn5+AQAAID/8KegA9SPtXK5pNRUczbOskwRcPiwKdI9/B135cnTPvVU8xjoIsPJUV6B3Lam+qk177lpkzm729QynTpJhYXm0Wl90lZOPj4BAADgPxTkDtBUrFV1tTlTFxNz9PL1usI57srJUV52bFtr3rOy0nw1tUx0tDnOPAMJNraOcO2TtnLy8QkAAAD/oSB3gKZirWJjzRnQmhrzGBvrOz+c466cHOVlx7a15j0TEsxXU8vU1prjzBOx19g6wrVP2srJxycAAAD8h4LcATyxVgUF5hJ1j06dzOXq5eVScrL5vrRU+v57KT/f3MeanW1eG26a2mbpaJTX4MGBj1wLhI5sm9stbd0qrV1rHhvLpG/ve44YYQaFa2qZQ4ekHj3Mo9P6pK2cfHwCAADAfyjIHcATa5WRYYrssjJzlvLwYXO5elycKcw++sh8bdhg7gXOz5c++USaPTv8RnxuapvLyszzYESuBUp7ty03V7rkEtOfV15pHi+5pHV925r3vOYa6dprm16mc2dp4ULz6LQ+aSsnH58AAADwH/4cdIimYq0mTJCuuspctl5UZC6V9dxXHhtrzph/8EF4xjDZGbkWaG3dNn9EbLXmPVtaZt485/ZJWzn5+AQAAIB/EHvmII3FWg0aZM6Udu1qRncuK5OSkkxBblnmcvaaGhPPFI4xTHZErgVLa7fNnxFbrXnPlpZxcp+0FfsCAAAAzaEgdxhPrJXH1q0mfqlTJ2n/fnMvuWcUbJfLDCxVVmbuJffEMNV9fTiov81O0ppta0vEVmv2U2ves6VlnNwnbcW+AAAAQFM4T+NwnvglTyRV/TNzdaOqiGEKT0RsAQAAAOGJgtzhPPFLnkiq+qNu142qIoYpPBGxBQAAAIQnCvIQ0N6oqpbU1EiffWYKbs/l6pWVR+dbljlzmpJioqraG8MUqPajdYjYAgAAAMIT95DbLDfXDMi1Y4cpjuPjTXF1zTUdG4V52TLp7rulb781hbnnTHhsrLlnPC5Oqq42l6rHxJioqvbEMAWq/Wg9T8TWggVmALfMTHOZekWFKcaJ2AIAAABCE3+i28gfUVWNWbbMvL6gQEpIMOtMTjZnrquqzGNlpSnGe/Qw0WjtiWEKVPvRdkRsAQAAAOGHM+Q28WdUVV01NebM+JEjUlra0fUmJZnivLjYTH/kEal7d6lLl/bFMAWq/Wg/IrYAAACA8EJBbhN/R1V5vPKKuUw9KanheqOiTMFcUmLOjv/gB6HXfnQMEVsAAABA+ODcmU0CFVWVn2/OXsc08a+WmBgzPz+/beutj6gtAAAAAOgYCnKbBCqqKjvbnCWtqWl8fk2NmZ+d3bb11kfUFgAAAAB0DAW5TQIVVTVjhrk3vLy88fWWl5uB3GbMCM32AwAAAECkoCC3iSeqKiPDDIBWVmaiycrKzPP2RlXFxEi/+pWJNSspMYO7ud3msaTETF+4sOlL2u1uPwInFPLiQ6ENAAAAQKhgUDcbeaKqPDnehYXmMu8RI0wx296oqnnzzKMnh9ztNoVxVpYpxj3zQ7X98L9QyIsPhTYAAAAAoYSC3GaBiqqaN0+6/HIz6np+vrlnfMaMjp8Zr4+ordDnyYs/eND8UyYx0dzj78mLD0ZOeSi0AQAAAAg1FOQhIFBRVTEx0syZ/l9vfURtha5QyIsPhTYAAAAAoYg/fwEHa0tevJPbAAAAAIQiCnLAwUIhLz4U2gAAAACEIgpywMFCIS8+FNoAAAAAhCIKcsDBQiEvPhTaAAAAAISikCnI7733XrlcLl1//fXeaZWVlZo/f766dOmilJQUzZw5U4WFhfY1EggzoZAXHwptAAAAAEJRSPwJvGHDBi1btkwnnniiz/QbbrhBr776ql544QW9++67ys/P17nnnmtTK4Hw5MmLHz5cKi6W9uwxjyNGBC9uLBTaAAAAAIQa22PPysrKdPHFF+upp57SnXfe6Z1eUlKip59+WitWrNAZZ5whSVq+fLkGDRqkDz/8UGPHjrWryUDYCYW8+FBoAwAAABBKbC/I58+fr+nTp2vSpEk+BfnGjRtVXV2tSZMmeacNHDhQvXv31rp165osyKuqqlRVVeV9XlpaKkmqrq5WdXW1X9vuWZ+/14vQ4bQ+Hjjw6Pe1teYrEtvg4bT+hS/61/noY2ejf52PPna2SO/f1m63rQX5c889p02bNmnDhg0N5hUUFCguLk7p6ek+03v06KGCgoIm13nPPfdo8eLFDaa/+eabSkpK6nCbG7Nq1aqArBehgz52NvrX2ehf56OPnY3+dT762NkitX/Ly8tbtZxtBflXX32ln//851q1apUSEhL8tt6FCxfqxhtv9D4vLS1Vr169NGXKFKWmpvrtfSTzX49Vq1Zp8uTJio2N9eu6ERroY2ejf52N/nU++tjZ6F/no4+dLdL713OldktsK8g3btyob7/9ViNGjPBOq62t1dq1a/Xoo49q5cqVOnLkiIqLi33OkhcWFiozM7PJ9cbHxys+Pr7B9NjY2IAdCIFcd2Pcbu7DlQKzH+qv87jjzPRg9zGCi/51NvrX+ehjZ6N/nY8+drZI7d/WbrNtBfmZZ56prVu3+kybO3euBg4cqFtuuUW9evVSbGysVq9erZkzZ0qSdu7cqX379mncuHF2NDkk5OZKjz4q7dghVVVJ8fEm4/maayJrpOpA7IfG1jl0qPR/hx8AAAAA+JVtBXmnTp10wgkn+ExLTk5Wly5dvNMvv/xy3XjjjercubNSU1N17bXXaty4cRE7wnpurrRggXTwoJSVJSUmShUV0ubNZnqkxEcFYj80tc5PPjEF+fr10oQJgdkeAAAAAJEppC90fuihh/SjH/1IM2fO1KmnnqrMzEy9+OKLdjfLFm63OXt78KA0YICUkiJFR5vHnBxzifXSpWY5JwvEfmhunf36mWWeesr5+xYAAABAcNkee1bXmjVrfJ4nJCRo6dKlWrp0qT0NCiHbtplLqbOyJJfLd57LJWVmStu3m+WGDrWnjcEQiP3Q0jolaedO5+9bAAAAAMEV0mfIcVRRkbmvOTGx8fmJiWZ+UVFw2xVsgdgPLa1Tiox9CwAAACC4KMjDREaGGWSsoqLx+RUVZn5GRnDbFWyB2A8trVOKjH0LAAAAILgoyMPEkCFmFPGCAsmyfOdZlpk+eLBZzskCsR8869y/XyopkQ4ckEpLzfo873H88c7ftwAAAACCi4I8TERFmUivjAwpL08qK5Nqa81jXp6ZPn++8/PIA7EfoqKk006Tvv9e+u9/pY8/NiO2//e/5n50SfrZz5y/bwEAAAAEFyVGGBk/3kR6DR8uFRdLe/aYxxEjIifyTPL/fsjNlZ59VkpOltLSzAjrtbXmLPnhw2aZMWP8vBEAAAAAIl5IjbKOlo0fL40da0b8LioyZ4SHDIm8s7f+2g91I888I6gfOiRVV0sxMeYSds9yAAAAAOBPFORhKCqK+C3JP/uhsciz1NSj8z0jr3/2mXTSSR17LwAAAACoK8LOqwK+Woo8S0gwj8XFQWsSAAAAgAhBQY6I1lLkWWWleUxPD1qTAAAAAEQICnJEtJZi1AoLzfcDBwa/bQAAAACcjYIcEa2lGDXPmfFIGzQPCBa3W9q6VVq71jwygCIAAIgkDOqGiOeJUXv0UTPAW2GhuYx9xAjpqqukAwfsbiHgTLm5Rz93VVXmczdokPknWaTEOAIAgMhGQQ6o6Ri12lrpP/+xu3WA8+TmSgsWmMjBrCwzsGJFhbR5s5n+4IMU5QAAwPkoyIH/01iMWm2tPW0BnMztNmfGDx6UBgw4GjmYkiLl5JjbRZYuNf8k43YRAADgZPypAwAIqm3bzGXqWVlHi3EPl0vKzJS2bzfLAQAAOBkFOQAgqIqKzD3jiYmNz09MNPOLioLbLgAAgGCjIAcABFVGhhnAraKi8fkVFWZ+RkZw2wUAABBsFOSAH/kjwokYKDjdkCFmNPWCAsmyfOdZlpk+eLBZDgAAwMkY1A3wE39EOBEDhUgQFWWO6QULzABumZlHR1kvKDBnxufPZ0A3AADgfPy5A/iBJ8Jp0yYpPV3q29c8eiKccnODsw4gXIwfb6LNhg+XioulPXvM44gRRJ4BAIDIwRlyoIP8EeFEDBQi0fjx5pjets0M4JaRYS5T5xgHAACRgoIc6KC2RDjVzzn35zqAcBQVxTENAAAiF+chgA7yR4QTMVAAAABA5KEgBzrIHxFOxEABAAAAkYdL1oEO8kQ4bd5s7veue8m5J8JpxIjmI5z8sQ6gPdxucyvEgQPmq0sX88W93AAAAIFHQQ50kD8inIiBgh08MXsffSQVFkpHjkhxcVKPHtLJJxO3BwAAEGj8eQ/4gT8inIiBQjB5YvY++MAU47W1UkKCVFNjnnvmE7cHAAAQOJwhB/zEHxFOxEAhGDwxewcOmAK8tlZKSjK3SsTFSYcPm7PlBw8StwcAABBIFOSAH/kjwokYKASaJ2YvNdXcEhEf7ztuQUKCKcp79iRuDwAAIJA45wEAEcYTsxcdbc6WR0f7zo+KMtOjoojbAwAACCQKcgCIMJ6YvdpaU3TX1vrO9xTjbjdxewAAAIHEJesAEMI8sWSeMQUGDTKXm3dkjAFPzN6mTVJKilRSYs6Sey5br6w0l7MfOiSNHEncHgAAQKBQkANAiPLEku3YYS4dr6kxj/HxUkyMeRw0qO3xZHVj9ioqTDFeXi7FxprB3GJizOBunTsTtwcAABBI/JkFACHIEzu2aZOUnm6+CgvNIGyFhVJampm2eXP74sk8MXunnGJyx6OjzZnxmBjz/JRTiNsDAAAINM6QA0CI8cSSHTwoDRhgpn3+ubnXOy3NnM3et89k1ufkSHl57Ysnqxuzd+CA+erSxXwRtwcAABB4FOQAEGI8sWRZWea+7tJSqazMxJG5XOZS9bIyc493aqqUmdn+eDJi9gAAAOzD+Q8ACDGeWLLERPO8uvroyOfS0biy6mrzPDGReDIAAIBwREEOACHGE0tWUWGex8YejSGTjsaVxcaa5xUVxJMBAACEIwpyAAgxnliyggLJsqROnUw8WWWleV5VZZ536mSeFxRIgwcTTwYAABBuKMgBIMR4YskyMsyAbYcPS717m0vVPZnhvXub6Xl5ZjniyQAAAMIPf74BQAjyxJINHy4VF5tCvEcPM9Bbjx7meXGxNGIE8WQAAADhilHWASBE1Y0lKyoyZ8IHDTIjsHueE08GAAAQvijIASCENRZLRkwZAACAM3BeBQAAAAAAG1CQAwAAAABgAwpyAAAAAABswD3kABBkbrfvQG0MzAYAABCZKMgBIIhyc6VHHzUjpVdVSfHxZuT0a64hugwAACDScE4GAIIkN1dasEDatElKT5f69jWPmzeb6bm5NjcQAAAAQUVBDgBB4HabM+MHD0oDBkgpKVJ0tHnMyTGXry9dapYDAABAZKAgB4Ag2LbNXKaelSW5XL7zXC4pM1Pavt0sBwAAgMhAQQ4AQVBUZO4ZT0xsfH5ioplfVBTcdgEAAMA+FOQAEAQZGWYAt4qKxudXVJj5GRnBbRcAAADsQ0EOAEEwZIgZTb2gQLIs33mWZaYPHmyWAwAAQGSgIAeAIIiKMtFmGRlSXp5UVibV1prHvDwzff588sgBAAAiCX/6AUCQjB8vPfigNHy4VFws7dljHkeMMNPJIQcAAIgsMXY3AAAiyfjx0tixZjT1oiJzZnzIEM6MAwAARCIKcgAIsqgoaehQu1sBAAAAu3FOBgAAAAAAG1CQAwAAAABgAwpyAAAAAABsYGtB/vjjj+vEE09UamqqUlNTNW7cOL3++uve+ZWVlZo/f766dOmilJQUzZw5U4WFhTa2GAAAAAAA/7C1ID/mmGN07733auPGjfroo490xhlnaMaMGdq2bZsk6YYbbtCrr76qF154Qe+++67y8/N17rnn2tlkAAAAAAD8wtZR1s8++2yf53fddZcef/xxffjhhzrmmGP09NNPa8WKFTrjjDMkScuXL9egQYP04YcfauzYsXY0GQAAAAAAvwiZ2LPa2lq98MILOnz4sMaNG6eNGzequrpakyZN8i4zcOBA9e7dW+vWrWuyIK+qqlJVVZX3eWlpqSSpurpa1dXVfm2zZ33+Xi9CB33sbPSvs9G/zkcfOxv963z0sbNFev+2drtdlmVZAW5Ls7Zu3apx48apsrJSKSkpWrFihX74wx9qxYoVmjt3rk9xLUmjR4/W6aefrvvuu6/R9S1atEiLFy9uMH3FihVKSkoKyDYAAAAAAOBRXl6uiy66SCUlJUpNTW1yOdvPkB9//PHasmWLSkpK9I9//ENz5szRu+++2+71LVy4UDfeeKP3eWlpqXr16qUpU6Y0uyPao7q6WqtWrdLkyZMVGxvr13UjNNDHzkb/Ohv963z0sbPRv85HHztbpPev50rtlthekMfFxWnAgAGSpJEjR2rDhg36/e9/r/PPP19HjhxRcXGx0tPTvcsXFhYqMzOzyfXFx8crPj6+wfTY2NiAHQiBXDdCA33sbPSvs9G/zkcfOxv963z0sbNFav+2dptDLofc7XarqqpKI0eOVGxsrFavXu2dt3PnTu3bt0/jxo2zsYUAAAAAAHScrWfIFy5cqGnTpql37946dOiQVqxYoTVr1mjlypVKS0vT5ZdfrhtvvFGdO3dWamqqrr32Wo0bN44R1gEAAAAAYc/Wgvzbb7/V7NmztX//fqWlpenEE0/UypUrNXnyZEnSQw89pKioKM2cOVNVVVWaOnWqHnvsMTubDAAAAACAX9hakD/99NPNzk9ISNDSpUu1dOnSdr+HZxD51t5U3xbV1dUqLy9XaWlpRN4XEQnoY2ejf52N/nU++tjZ6F/no4+dLdL711N/thRqZvugboF26NAhSVKvXr1sbgkAAAAAIJIcOnRIaWlpTc63PYc80Nxut/Lz89WpUye5XC6/rtsTqfbVV1/5PVINoYE+djb619noX+ejj52N/nU++tjZIr1/LcvSoUOHlJ2draiopsdSd/wZ8qioKB1zzDEBfY/U1NSIPMgiCX3sbPSvs9G/zkcfOxv963z0sbNFcv82d2bcI+RizwAAAAAAiAQU5AAAAAAA2ICCvAPi4+N1++23Kz4+3u6mIEDoY2ejf52N/nU++tjZ6F/no4+djf5tHccP6gYAAAAAQCjiDDkAAAAAADagIAcAAAAAwAYU5AAAAAAA2ICCHAAAAAAAG1CQ17No0SK5XC6fr4EDB3rnV1ZWav78+erSpYtSUlI0c+ZMFRYW+qxj3759mj59upKSktS9e3fdfPPNqqmpCfamoAl9+/Zt0Mcul0vz58+XJP3gBz9oMO/KK6/0WQd9HDrWrl2rs88+W9nZ2XK5XHr55Zd95luWpdtuu01ZWVlKTEzUpEmTtGvXLp9lDh48qIsvvlipqalKT0/X5ZdfrrKyMp9lPvnkE02cOFEJCQnq1auX7r///kBvGtR8/1ZXV+uWW27R0KFDlZycrOzsbM2ePVv5+fk+62jsM3/vvff6LEP/2qelz/Cll17aoP/OOussn2X4DIeulvq3sd/HLpdLDzzwgHcZPsOh65577tGoUaPUqVMnde/eXeecc4527tzps4y//nZes2aNRowYofj4eA0YMEDPPPNMoDcv4rXUvwcPHtS1116r448/XomJierdu7euu+46lZSU+Kynsc/4c88957NMJPcvBXkjhgwZov3793u/3n//fe+8G264Qa+++qpeeOEFvfvuu8rPz9e5557rnV9bW6vp06fryJEjys3N1bPPPqtnnnlGt912mx2bgkZs2LDBp39XrVolSTrvvPO8y/zsZz/zWabuL3b6OLQcPnxYJ510kpYuXdro/Pvvv1+PPPKInnjiCa1fv17JycmaOnWqKisrvctcfPHF2rZtm1atWqV///vfWrt2ra644grv/NLSUk2ZMkV9+vTRxo0b9cADD2jRokV68sknA759ka65/i0vL9emTZt06623atOmTXrxxRe1c+dO/fjHP26w7JIlS3w+09dee613Hv1rr5Y+w5J01lln+fTf3/72N5/5fIZDV0v9W7df9+/frz/96U9yuVyaOXOmz3J8hkPTu+++q/nz5+vDDz/UqlWrVF1drSlTpujw4cPeZfzxt/Pu3bs1ffp0nX766dqyZYuuv/56/fSnP9XKlSuDur2RpqX+zc/PV35+vh588EF9+umneuaZZ/TGG2/o8ssvb7Cu5cuX+3yGzznnHO+8iO9fCz5uv/1266STTmp0XnFxsRUbG2u98MIL3mk7duywJFnr1q2zLMuy/vOf/1hRUVFWQUGBd5nHH3/cSk1NtaqqqgLadrTPz3/+cysnJ8dyu92WZVnWaaedZv385z9vcnn6OHRJsl566SXvc7fbbWVmZloPPPCAd1pxcbEVHx9v/e1vf7Msy7K2b99uSbI2bNjgXeb111+3XC6X9c0331iWZVmPPfaYlZGR4dO/t9xyi3X88ccHeItQV/3+bcx///tfS5K1d+9e77Q+ffpYDz30UJOvoX9DR2N9PGfOHGvGjBlNvobPcPhozWd4xowZ1hlnnOEzjc9w+Pj2228tSda7775rWZb//nb+xS9+YQ0ZMsTnvc4//3xr6tSpgd4k1FG/fxvz97//3YqLi7Oqq6u901r67Ed6/3KGvBG7du1Sdna2+vfvr4svvlj79u2TJG3cuFHV1dWaNGmSd9mBAweqd+/eWrdunSRp3bp1Gjp0qHr06OFdZurUqSotLdW2bduCuyFo0ZEjR/TXv/5Vl112mVwul3f6//7v/6pr16464YQTtHDhQpWXl3vn0cfhY/fu3SooKPD5zKalpWnMmDE+n9n09HSdfPLJ3mUmTZqkqKgorV+/3rvMqaeeqri4OO8yU6dO1c6dO1VUVBSkrUFrlJSUyOVyKT093Wf6vffeqy5dumj48OF64IEHfC6FpH9D35o1a9S9e3cdf/zxuuqqq3TgwAHvPD7DzlFYWKjXXnut0bNrfIbDg+dS5c6dO0vy39/O69at81mHZxnPOhAc9fu3qWVSU1MVExPjM33+/Pnq2rWrRo8erT/96U+yLMs7L9L7N6blRSLLmDFj9Mwzz+j444/X/v37tXjxYk2cOFGffvqpCgoKFBcX1+APvR49eqigoECSVFBQ4PMDxTPfMw+h5eWXX1ZxcbEuvfRS77SLLrpIffr0UXZ2tj755BPdcsst2rlzp1588UVJ9HE48fRHY/1V9zPbvXt3n/kxMTHq3LmzzzL9+vVrsA7PvIyMjIC0H21TWVmpW265RRdeeKFSU1O906+77jqNGDFCnTt3Vm5urhYuXKj9+/frd7/7nST6N9SdddZZOvfcc9WvXz/l5eXpV7/6laZNm6Z169YpOjqaz7CDPPvss+rUqZPP5cwSn+Fw4Xa7df311+uUU07RCSecIEl++9u5qWVKS0tVUVGhxMTEQGwS6misf+v7/vvvdccdd/jcMiSZW07OOOMMJSUl6c0339TVV1+tsrIyXXfddZLoXwryeqZNm+b9/sQTT9SYMWPUp08f/f3vf3f8wRCJnn76aU2bNk3Z2dneaXV/iAwdOlRZWVk688wzlZeXp5ycHDuaCaAF1dXVmjVrlizL0uOPP+4z78Ybb/R+f+KJJyouLk7z5s3TPffco/j4+GA3FW10wQUXeL8fOnSoTjzxROXk5GjNmjU688wzbWwZ/O1Pf/qTLr74YiUkJPhM5zMcHubPn69PP/3UZ+wlOEdL/VtaWqrp06dr8ODBWrRokc+8W2+91fv98OHDdfjwYT3wwAPegjzSccl6C9LT03Xcccfpiy++UGZmpo4cOaLi4mKfZQoLC5WZmSlJyszMbDBypOe5ZxmEhr179+qtt97ST3/602aXGzNmjCTpiy++kEQfhxNPfzTWX3U/s99++63P/JqaGh08eJDPdZjwFON79+7VqlWrfM6ON2bMmDGqqanRnj17JNG/4aZ///7q2rWrz89kPsPh77333tPOnTtb/J0s8RkORddcc43+/e9/65133tExxxzjne6vv52bWiY1NZUTZkHQVP96HDp0SGeddZY6deqkl156SbGxsc2ub8yYMfr6669VVVUlif6lIG9BWVmZ8vLylJWVpZEjRyo2NlarV6/2zt+5c6f27duncePGSZLGjRunrVu3+vxx4PkDcfDgwUFvP5q2fPlyde/eXdOnT292uS1btkiSsrKyJNHH4aRfv37KzMz0+cyWlpZq/fr1Pp/Z4uJibdy40bvM22+/Lbfb7f1nzLhx47R27VpVV1d7l1m1apWOP/54LoW0macY37Vrl9566y116dKlxdds2bJFUVFR3suc6d/w8vXXX+vAgQM+P5P5DIe/p59+WiNHjtRJJ53U4rJ8hkOHZVm65ppr9NJLL+ntt99ucOuAv/52HjdunM86PMt41oHAaKl/paMpB3FxcfrXv/7V4AqXxmzZskUZGRneK1wivn/tHVMu9Nx0003WmjVrrN27d1sffPCBNWnSJKtr167Wt99+a1mWZV155ZVW7969rbffftv66KOPrHHjxlnjxo3zvr6mpsY64YQTrClTplhbtmyx3njjDatbt27WwoUL7dokNKK2ttbq3bu3dcstt/hM/+KLL6wlS5ZYH330kbV7927rlVdesfr372+deuqp3mXo49By6NAha/PmzdbmzZstSdbvfvc7a/Pmzd5Rtu+9914rPT3deuWVV6xPPvnEmjFjhtWvXz+roqLCu46zzjrLGj58uLV+/Xrr/ffft4499ljrwgsv9M4vLi62evToYf2///f/rE8//dR67rnnrKSkJGvZsmVB395I01z/HjlyxPrxj39sHXPMMdaWLVus/fv3e788I/Pm5uZaDz30kLVlyxYrLy/P+utf/2p169bNmj17tvc96F97NdfHhw4dshYsWGCtW7fO2r17t/XWW29ZI0aMsI499lirsrLSuw4+w6GrpZ/RlmVZJSUlVlJSkvX44483eD2f4dB21VVXWWlpadaaNWt8fgaXl5d7l/HH385ffvmllZSUZN18883Wjh07rKVLl1rR0dHWG2+8EdTtjTQt9W9JSYk1ZswYa+jQodYXX3zhs0xNTY1lWZb1r3/9y3rqqaesrVu3Wrt27bIee+wxKykpybrtttu87xPp/UtBXs/5559vZWVlWXFxcVbPnj2t888/3/riiy+88ysqKqyrr77aysjIsJKSkqyf/OQn1v79+33WsWfPHmvatGlWYmKi1bVrV+umm27yGfof9lu5cqUlydq5c6fP9H379lmnnnqq1blzZys+Pt4aMGCAdfPNN1slJSU+y9HHoeOdd96xJDX4mjNnjmVZJvrs1ltvtXr06GHFx8dbZ555ZoN+P3DggHXhhRdaKSkpVmpqqjV37lzr0KFDPst8/PHH1oQJE6z4+HirZ8+e1r333husTYxozfXv7t27G50nyXrnnXcsy7KsjRs3WmPGjLHS0tKshIQEa9CgQdbdd9/tU8xZFv1rp+b6uLy83JoyZYrVrVs3KzY21urTp4/1s5/9zCceybL4DIeyln5GW5ZlLVu2zEpMTLSKi4sbvJ7PcGhr6mfw8uXLvcv462/nd955xxo2bJgVFxdn9e/f3+c9EBgt9W9Tn29J1u7duy3LMjGUw4YNs1JSUqzk5GTrpJNOsp544gmrtrbW570iuX9dllVnzHkAAAAAABAU3EMOAAAAAIANKMgBAAAAALABBTkAAAAAADagIAcAAAAAwAYU5AAAAAAA2ICCHAAAAAAAG1CQAwAAAABgAwpyAAAAAABsQEEOAAAAAIANKMgBAHCY7777TldddZV69+6t+Ph4ZWZmaurUqfrggw/sbhoAAKgjxu4GAAAA/5o5c6aOHDmiZ599Vv3791dhYaFWr16tAwcO2N00AABQB2fIAQBwkOLiYr333nu67777dPrpp6tPnz4aPXq0Fi5cqB//+MeSJJfLpccff1zTpk1TYmKi+vfvr3/84x8+67nlllt03HHHKSkpSf3799ett96q6upqn2VeffVVjRo1SgkJCeratat+8pOfeOdVVVVpwYIF6tmzp5KTkzVmzBitWbMm4NsPAEA4oSAHAMBBUlJSlJKSopdffllVVVVNLnfrrbdq5syZ+vjjj3XxxRfrggsu0I4dO7zzO3XqpGeeeUbbt2/X73//ez311FN66KGHvPNfe+01/eQnP9EPf/hDbd68WatXr9bo0aO986+55hqtW7dOzz33nD755BOdd955Ouuss7Rr167AbDgAAGHIZVmWZXcjAACA//zzn//Uz372M1VUVGjEiBE67bTTdMEFF+jEE0+UZM6QX3nllXr88ce9rxk7dqxGjBihxx57rNF1Pvjgg3ruuef00UcfSZLGjx+v/v37669//WuDZfft26f+/ftr3759ys7O9k6fNGmSRo8erbvvvtufmwsAQNjiDDkAAA4zc+ZM5efn61//+pfOOussrVmzRiNGjNAzzzzjXWbcuHE+rxk3bpzPGfLnn39ep5xyijIzM5WSkqLf/OY32rdvn3f+li1bdOaZZzb6/lu3blVtba2OO+447xn7lJQUvfvuu8rLy/PvxgIAEMYY1A0AAAdKSEjQ5MmTNXnyZN1666366U9/qttvv12XXnppi69dt26dLr74Yi1evFhTp05VWlqannvuOf32t7/1LpOYmNjk68vKyhQdHa2NGzcqOjraZ15KSkq7twkAAKfhDDkAABFg8ODBOnz4sPf5hx9+6DP/ww8/1KBBgyRJubm56tOnj37961/r5JNP1rHHHqu9e/f6LH/iiSdq9erVjb7X8OHDVVtbq2+//VYDBgzw+crMzPTzlgEAEL44Qw4AgIMcOHBA5513ni677DKdeOKJ6tSpkz766CPdf//9mjFjhne5F154QSeffLImTJig//3f/9V///tfPf3005KkY489Vvv27dNzzz2nUaNG6bXXXtNLL73k8z633367zjzzTOXk5OiCCy5QTU2N/vOf/3hHZ7/44os1e/Zs/fa3v9Xw4cP13XffafXq1TrxxBM1ffr0oO4TAABCFYO6AQDgIFVVVVq0aJHefPNN5eXlqbq6Wr169dJ5552nX/3qV0pMTJTL5dLSpUv18ssva+3atcrKytJ9992nWbNmedfzi1/8Qn/6059UVVWl6dOna+zYsVq0aJGKi4u9y7z44ou64447tH37dqWmpurUU0/VP//5T0lSdXW17rzzTv35z3/WN998o65du2rs2LFavHixhg4dGuzdAgBASKIgBwAgwrhcLr300ks655xz7G4KAAARjXvIAQAAAACwAQU5AAAAAAA2YFA3AAAiDHerAQAQGjhDDgAAAACADSjIAQAAAACwAQU5AAAAAAA2oCAHAAAAAMAGFOQAAAAAANiAghwAAAAAABtQkAMAAAAAYAMKcgAAAAAAbPD/AfZqM6VzTwS0AAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12, 6))\n",
    "plt.scatter(data['Space'], data['Price'], alpha=0.7, color='blue')\n",
    "plt.title('Scatter Plot of Price vs Space')\n",
    "plt.xlabel('Space')\n",
    "plt.ylabel('Price')\n",
    "plt.grid(True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Մենք այստեղ տեսնում ենք տան արժեքների և տարածքի միջև հարաբերության scatterplot-ը։\n",
    "Այս scatterplot-ում կետերը ավելի շատ կենտրոնացած են 500-ից 1250 և 30-ից 70 միջակայքում։\n",
    "\n",
    "Տարածությունը տատանվում է 0-ից մինչև 2400, իսկ արժեքների մեծ մասը կենտրոնացած է 500-ից 1500-ի միջև:Տան \n",
    "արժեքների մեծ մասը գտնվում են 40-ին 60 դոլարի շրջանակներում։Շենքերի մեծ մասն ունի 1 կամ 2 ննջասենյակ: \n",
    "3 և ավելի ննջասենյակներով ավելի քիչ տներ կան, որոնց քանակը աստիճանաբար նվազում է ննջարանների քանակը ավելանալով։\n",
    "Բնակարանների մեծ մասն ունի 1 սանհանգույց։Չափիչը տատանվում է 0-ից 1-ի միջակայքում, իսկ արժեքների մեծ մասը կենտրոնացած է 0,5-ից 0,75-ի միջև:  Տների մեծ մասը վատ վիճակում է գտնվում իսկ 0 արժեքով տվյալների քանակը գերազանցում է 1 արժեքով տվյալներին։\n",
    "Տների մեծ մասը ավտոտնակներից զուրկ են իսկ մնացած մասը համարյա հավասարաչափ քանակով ունեն 1-ից 2 ավտոտնակ։Տների մեծամասությունը ունի 5 սենյակ։ 25 կամ 30 լայնությամբ տարածքները ավելի հաճախակի են հանդիպում։"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Boxplot գնի, տարածքի և հողատարածք"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12, 6))\n",
    "data.boxplot(column=['Price', 'Space', 'Lot'])\n",
    "plt.title('Box Plot of Price, Space, and Lot')\n",
    "plt.ylabel('Value')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\"Այս Boxplot-ը ներկայացնում է տարածքի,արժեքի և հողատարածքի համեմատությունները։Բայց այս պահին ոչ մի բան չի կարելի հասկանալ նրանից,քանի ,որ այս տվյալների համախումբը համարվում է անհարմար Boxplot գծելու համար։\""
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
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