03.1_MT_2.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [ 
    "import pandas as pd , numpy as np"
   ] 
  }, 
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {}, 
   "outputs": [], 
   "source": [
    "import winsound\n",
    "\n",
    "def play_sound():\n",
    "    frequency = 1000  # Frequency in Hertz (1000 Hz is a common beep sound)\n",
    "    duration = 1000  # Duration in milliseconds (1 second)\n",
    "    winsound.Beep(frequency, duration)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "df=pd.read_csv(\"C:/Users/RohanRVC/Documents/Business/E-books/E_Books_Unknown_AI/Book/Dataset_collection/Updated_dataset/Final_data1.csv\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>1</th>\n",
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       "      <td>Religion and Spirituality</td>\n",
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       "      <td>English</td>\n",
       "    </tr>\n",
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       "      <th>2</th>\n",
       "      <td>The Complete Works of William Shakespeare</td>\n",
       "      <td>Drama and Performing Arts</td>\n",
       "      <td>William Shakespeare Contents THE SONNETS ALL’S...</td>\n",
       "      <td>English</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>The Magna Carta</td>\n",
       "      <td>Linguistics and Languages</td>\n",
       "      <td>preparer of the 0.1 version. some of which wer...</td>\n",
       "      <td>English</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Apocolocyntosis</td>\n",
       "      <td>Religion and Spirituality</td>\n",
       "      <td>H. D. Rouse Release date : November 1, ROUSE, ...</td>\n",
       "      <td>English</td>\n",
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       "      <td>Rub iy t of Omar Khayy m, and Sal m n and Abs ...</td>\n",
       "      <td>Linguistics and Languages</td>\n",
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       "      <th>11344</th>\n",
       "      <td>The Devil's Asteroid</td>\n",
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       "      <td>Extensive research did not uncover any evidenc...</td>\n",
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      "text/plain": [
       "                                                   Title  \\\n",
       "0      The Declaration of Independence of the United ...   \n",
       "1                    The King James Version of the Bible   \n",
       "2              The Complete Works of William Shakespeare   \n",
       "3                                        The Magna Carta   \n",
       "4                                        Apocolocyntosis   \n",
       "...                                                  ...   \n",
       "11340  A Biographical Sketch of the Life and Characte...   \n",
       "11341  Rub iy t of Omar Khayy m, and Sal m n and Abs ...   \n",
       "11342  Jane Austen, Her Life and Letters: A Family Re...   \n",
       "11343                     Mr  Dooley in Peace and in War   \n",
       "11344                               The Devil's Asteroid   \n",
       "\n",
       "                           Genre  \\\n",
       "0                        History   \n",
       "1      Religion and Spirituality   \n",
       "2      Drama and Performing Arts   \n",
       "3      Linguistics and Languages   \n",
       "4      Religion and Spirituality   \n",
       "...                          ...   \n",
       "11340                      Other   \n",
       "11341  Linguistics and Languages   \n",
       "11342                    History   \n",
       "11343  Comics and Graphic Novels   \n",
       "11344            Science Fiction   \n",
       "\n",
       "                                                 Content Language  \n",
       "0      All of the original files are included in the ...  English  \n",
       "1      Exodus The Third Book of Moses: Called Levitic...  English  \n",
       "2      William Shakespeare Contents THE SONNETS ALL’S...  English  \n",
       "3      preparer of the 0.1 version. some of which wer...  English  \n",
       "4      H. D. Rouse Release date : November 1, ROUSE, ...  English  \n",
       "...                                                  ...      ...  \n",
       "11340  Produced by John Young Le Bourgeois A BIOGRAPH...  English  \n",
       "11341  by Edward FitzGerald. no cost and with almost ...  English  \n",
       "11342  Chapter I AUSTENS AND LEIGHS 1600-1764 At the ...  English  \n",
       "11343  Graeme Mackreth, DOOLEY In Peace and in War Bo...  English  \n",
       "11344  Extensive research did not uncover any evidenc...  English  \n",
       "\n",
       "[11345 rows x 4 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Title</th>\n",
       "      <th>Genre</th>\n",
       "      <th>Content</th>\n",
       "      <th>Language</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>Happiness and Marriage</td>\n",
       "      <td>Romance</td>\n",
       "      <td>CHAPTER I. TO BE HAPPY THOUGH MARRIED. \"Some d...</td>\n",
       "      <td>English</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>261</th>\n",
       "      <td>The Professor</td>\n",
       "      <td>Romance</td>\n",
       "      <td>T H E P R O F E S S O R CHAPTER I. INTRODUCTOR...</td>\n",
       "      <td>English</td>\n",
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       "    <tr>\n",
       "      <th>393</th>\n",
       "      <td>The Money Moon: A Romance</td>\n",
       "      <td>Romance</td>\n",
       "      <td>Chapter I  BEING THE FIRST, IS, VERY PROPERLY,...</td>\n",
       "      <td>English</td>\n",
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       "    <tr>\n",
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       "      <td>Peter's Mother</td>\n",
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       "      <td>Chapter I Above Youlestone overlooking the val...</td>\n",
       "      <td>English</td>\n",
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       "    <tr>\n",
       "      <th>447</th>\n",
       "      <td>Arthurian Chronicles: Roman de Brut</td>\n",
       "      <td>Romance</td>\n",
       "      <td>wights, And beauty making beautiful old rhyme,...</td>\n",
       "      <td>English</td>\n",
       "    </tr>\n",
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       "      <th>...</th>\n",
       "      <td>...</td>\n",
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       "      <th>10924</th>\n",
       "      <td>The Second Chance</td>\n",
       "      <td>Romance</td>\n",
       "      <td>LETITIA McCURDY MOONEY CONTENTS CHAPTER I. Mar...</td>\n",
       "      <td>English</td>\n",
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       "    <tr>\n",
       "      <th>10992</th>\n",
       "      <td>A Book of Burlesques</td>\n",
       "      <td>Romance</td>\n",
       "      <td>by H. L. L. Mencken Release date : July 25, L....</td>\n",
       "      <td>English</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11193</th>\n",
       "      <td>The Wedding Ring  A Series of Discourses for H...</td>\n",
       "      <td>Romance</td>\n",
       "      <td>in the original document has been preserved. O...</td>\n",
       "      <td>English</td>\n",
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       "    <tr>\n",
       "      <th>11232</th>\n",
       "      <td>King Arthur's Knights The Tales Re told for Bo...</td>\n",
       "      <td>Romance</td>\n",
       "      <td>Nordquist, Sigal Alon, WITH ILLUSTRATIONS IN C...</td>\n",
       "      <td>English</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11276</th>\n",
       "      <td>Adam Johnstone's Son</td>\n",
       "      <td>Romance</td>\n",
       "      <td>Bowring, shutting the book she held, but keepi...</td>\n",
       "      <td>English</td>\n",
       "    </tr>\n",
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       "<p>124 rows × 4 columns</p>\n",
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      ],
      "text/plain": [
       "                                                   Title    Genre  \\\n",
       "68                                Happiness and Marriage  Romance   \n",
       "261                                        The Professor  Romance   \n",
       "393                            The Money Moon: A Romance  Romance   \n",
       "425                                       Peter's Mother  Romance   \n",
       "447                  Arthurian Chronicles: Roman de Brut  Romance   \n",
       "...                                                  ...      ...   \n",
       "10924                                  The Second Chance  Romance   \n",
       "10992                               A Book of Burlesques  Romance   \n",
       "11193  The Wedding Ring  A Series of Discourses for H...  Romance   \n",
       "11232  King Arthur's Knights The Tales Re told for Bo...  Romance   \n",
       "11276                               Adam Johnstone's Son  Romance   \n",
       "\n",
       "                                                 Content Language  \n",
       "68     CHAPTER I. TO BE HAPPY THOUGH MARRIED. \"Some d...  English  \n",
       "261    T H E P R O F E S S O R CHAPTER I. INTRODUCTOR...  English  \n",
       "393    Chapter I  BEING THE FIRST, IS, VERY PROPERLY,...  English  \n",
       "425    Chapter I Above Youlestone overlooking the val...  English  \n",
       "447    wights, And beauty making beautiful old rhyme,...  English  \n",
       "...                                                  ...      ...  \n",
       "10924  LETITIA McCURDY MOONEY CONTENTS CHAPTER I. Mar...  English  \n",
       "10992  by H. L. L. Mencken Release date : July 25, L....  English  \n",
       "11193  in the original document has been preserved. O...  English  \n",
       "11232  Nordquist, Sigal Alon, WITH ILLUSTRATIONS IN C...  English  \n",
       "11276  Bowring, shutting the book she held, but keepi...  English  \n",
       "\n",
       "[124 rows x 4 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df.Genre=='Romance']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# EDA\n",
    "* Class Imbalance Visualization"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# # pip install matplotlib"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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FRURERERERERERAoQJYVFREREREREREREChAlhUVEREREREREREQKECWFRURERERERERERAoQJYVFREREREREREREChAlhUX+ZtHR0ZhMJi5duvSkQxERERERERERkQJISWH5TwkJCcFkMtGvX78cfQMHDsRkMhESEvL3B3abunXrkpycjKur6xONQ0RERERERERECiYlheU/x9PTk1WrVvHXX38ZbdeuXWPFihV4eXk9wchusrGxwd3dHZPJdNf+zMxMsrKy/uaoRERERERERESkoFBSWP5zqlevjqenJ+vWrTPa1q1bh5eXF9WqVTPasrKymDRpEqVLl8be3p4qVarw2WefGf23yjxERUVRrVo17O3tadq0KRcuXODLL7/E398fFxcXunTpwtWrV4156enphIWF8dRTT2FnZ0f9+vXZv39/jnVvlY+IjIykUKFCbNy4kQoVKmBra0tSUtJjfEIiIiIiIiIiIlKQKSks/0m9e/cmIiLC+Lxo0SJ69eplNmbSpEksWbKEjz76iB9++IHXXnuNbt26sXPnTrNx4eHhzJkzh2+//ZZz587RsWNHZsyYwYoVK/jiiy/YunUrs2fPNsYPGzaMtWvXsnjxYg4dOoSPjw9BQUH88ccf94z36tWrTJkyhQULFvDDDz/w1FNP3XVceno6qampZpeIiIiIiIiIiEh+KCks/0ndunVj9+7dnD17lrNnzxITE0O3bt2M/vT0dCZOnMiiRYsICgqiTJkyhISE0K1bNz7++GOztSZMmEC9evWoVq0affr0YefOncybN49q1arRoEEDXnjhBXbs2AHAlStXmDdvHlOnTqV58+ZUqFCB+fPnY29vz8KFC+8Zb0ZGBnPnzqVu3br4+fnh4OBw13GTJk3C1dXVuDw9PR/B0xIRERERERERkYLE6kkHIPI4uLm50bJlSyIjI8nOzqZly5YUK1bM6D916hRXr17lueeeM5t3/fp1sxITAJUrVzZ+Ll68OA4ODpQpU8asbd++fQAkJCSQkZFBvXr1jH5ra2tq1apFXFzcPeO1sbEx2+deRowYweuvv258Tk1NVWJYRERERERERETyRUlh+c/q3bs3gwYNAuDDDz8060tLSwPgiy++oGTJkmZ9tra2Zp+tra2Nn00mk9nnW20P+2I4e3v7e7547s7Y7oxPREREREREREQkP5QUlv+s4OBgrl+/jslkIigoyKzv9he6NWrU6JHtWbZsWWxsbIiJiaFUqVLAzdIQ+/fvZ8iQIY9sHxERERERERERkQelpLD8Z1laWholGywtLc36nJ2dGTp0KK+99hpZWVnUr1+flJQUYmJicHFxoWfPng+0p6OjI/379+fNN9+kSJEieHl58d5773H16lX69Onz0PckIiIiIiIiIiLysJQUlv80FxeXe/aNHz8eNzc3Jk2axOnTpylUqBDVq1fn7bfffqg9J0+eTFZWFt27d+fy5csEBgYSFRVF4cKFH2pdERERERERERGRR8GUnZ2d/aSDEJEHk5qaiqurKykpKbkmwEVERERERERE5L8tP3kii78pJhERERERERERERH5B1BSWOQ/oNKYqCcdgoiIiIiIiIiI/EsoKSxPVHh4OFWrVs11TEhICG3btv1b4nkUEhMTMZlMxMbGPulQREREREREREREclBSWAx79uzB0tKSli1b5ntuXpK7D2rmzJlERkY+lrVFREREREREREQKGiWFxbBw4UIGDx7Mrl27+Pnnn590OAZXV1cKFSr0WPfIzMwkKyvrse4hIiIiIiIiIiLyT6CksACQlpbGp59+Sv/+/WnZsqXZydzIyMgcSdkNGzZgMpmM/rFjx3L48GFMJhMmk8mYn5SURJs2bXBycsLFxYWOHTvy66+/5tj/448/xtPTEwcHBzp27EhKSorRd2f5iPT0dMLCwnjqqaews7Ojfv367N+/32y9jRs3Uq5cOezs7GjSpAmLFy/GZDJx6dIls3vauHEjFSpUwNbWlqSkJPbv389zzz1HsWLFcHV1pVGjRhw6dMhsbZPJxLx582jevDn29vaUKVOGzz77LMc9nT59miZNmuDg4ECVKlXYs2cPAFeuXMHFxSXHnA0bNuDo6Mjly5dzfkEiIiIiIiIiIiKPiJLCAsDq1aspX748fn5+dOvWjUWLFpGdnZ2nuZ06deKNN96gYsWKJCcnk5ycTKdOncjKyqJNmzb88ccf7Ny5k23btnH69Gk6depkNv/UqVOsXr2a//u//2PLli18//33DBgw4J77DRs2jLVr17J48WIOHTqEj48PQUFB/PHHHwCcOXOGF154gbZt23L48GFeeeUVRo4cmWOdq1evMmXKFBYsWMAPP/zAU089xeXLl+nZsye7d+/mu+++o1y5crRo0SJHonbUqFF06NCBw4cP07VrV1566SXi4uLMxowcOZKhQ4cSGxuLr68vnTt35saNGzg6OvLSSy8RERFhNj4iIoIXXngBZ2fne957eno6qampZpeIiIiIiIiIiEh+KCkswM3SEd26dQMgODiYlJQUdu7cmae59vb2ODk5YWVlhbu7O+7u7tjb27N9+3aOHj3KihUrqFGjBrVr12bJkiXs3LnT7GTvtWvXWLJkCVWrVqVhw4bMnj2bVatW8csvv+TY68qVK8ybN4+pU6fSvHlzKlSowPz587G3t2fhwoXAzVPHfn5+TJ06FT8/P1566SVCQkJyrJWRkcHcuXOpW7cufn5+ODg40LRpU7p160b58uXx9/fnk08+4erVqzmexYsvvkhoaCi+vr6MHz+ewMBAZs+ebTZm6NChtGzZEl9fX8aOHcvZs2c5deoUAKGhoURFRZGcnAzAhQsX2Lx5M7179871WU+aNAlXV1fj8vT0vP8XJCIiIiIiIiIichslhYUTJ06wb98+OnfuDICVlRWdOnUykqwPKi4uDk9PT7PEZYUKFShUqJDZqVovLy9KlixpfK5Tpw5ZWVmcOHEix5oJCQlkZGRQr149o83a2ppatWoZa544cYKaNWuazatVq1aOtWxsbKhcubJZ26+//krfvn0pV64crq6uuLi4kJaWRlJSktm4OnXq5Ph850nh29f28PAAbiZ/b8VTsWJFFi9eDMCyZcsoVaoUDRs2zBHn7UaMGEFKSopxnTt3LtfxIiIiIiIiIiIid7J60gHIk7dw4UJu3LhBiRIljLbs7GxsbW2ZM2cOFhYWOUpJZGRk/N1hPnL29vZGXeRbevbsycWLF5k5cyalSpXC1taWOnXqcP369Xyvb21tbfx8a5/bX2YXGhrKhx9+yFtvvUVERAS9evXKEc+dbG1tsbW1zXcsIiIiIiIiIiIit+ikcAF348YNlixZwvTp04mNjTWuw4cPU6JECVauXImbmxuXL1/mypUrxrzY2FizdWxsbMjMzDRr8/f359y5c2anWY8fP86lS5eoUKGC0ZaUlMTPP/9sfP7uu++wsLDAz88vR7xly5bFxsaGmJgYoy0jI4P9+/cba/r5+XHgwAGzeXe+iO5eYmJiCAsLo0WLFlSsWBFbW1t+//33HOO+++67HJ/9/f3ztMct3bp14+zZs8yaNYvjx4/Ts2fPfM0XERERERERERF5EDopXMBt2rSJP//8kz59+uDq6mrW16FDBxYuXEhUVBQODg68/fbbhIWFsXfvXiIjI83Gent7c+bMGWJjY3n66adxdnamWbNmBAQE0LVrV2bMmMGNGzcYMGAAjRo1IjAw0JhrZ2dHz549mTZtGqmpqYSFhdGxY0fc3d1zxOvo6Ej//v158803KVKkCF5eXrz33ntcvXqVPn36APDKK6/w/vvvM3z4cPr06UNsbKwR7/1O4pYrV46lS5cSGBhIamoqb775Jvb29jnGrVmzhsDAQOrXr8/y5cvZt29fvsttFC5cmPbt2/Pmm2/y/PPP8/TTT+drvoiIiIiIiIiIyIPQSeECbuHChTRr1ixHQhhuJoUPHDjA+fPnWbZsGZs3byYgIICVK1cSHh6eY2xwcDBNmjTBzc2NlStXYjKZ+PzzzylcuDANGzakWbNmlClThk8//dRsro+PD+3bt6dFixY8//zzVK5cmblz594z5smTJ9OhQwe6d+9O9erVOXXqFFFRURQuXBiA0qVL89lnn7Fu3ToqV67MvHnzGDlyJMB9Sy8sXLiQP//8k+rVq9O9e3fCwsJ46qmncowbO3Ysq1atonLlyixZsoSVK1eanX7Oqz59+nD9+vX7vmBORERERERERETkUTFl31ksVuQ/6N133+Wjjz56JC9mM5lMrF+/nrZt2z70WkuXLuW1117j559/xsbGJt/zU1NTcXV1JSUlBRcXl4eOR0RERERERERE/p3ykydS+Qj5T5o7dy41a9akaNGixMTEMHXqVAYNGvSkwzJcvXqV5ORkJk+ezCuvvPJACWEREREREREREZEHofIR8p8UHx9PmzZtqFChAuPHj+eNN97IUfLiSXrvvfcoX7487u7ujBgx4kmHIyIiIiIiIiIiBYjKR4j8i936swDPIauxsHXI0Z84ueUTiEpERERERERERP5u+SkfoZPCBVRISIhZTdzGjRszZMiQJxbPoxQeHk7VqlWfdBg5nqm3tzczZsx4YvGIiIiIiIiIiIiAago/UiEhIVy6dIkNGzY86VDybd26dVhbWz/pMP4WiYmJlC5dGgsLC5KSkihZsqTRl5ycjKenJ5mZmZw5cwZvb+9Htu/+/ftxdHR8ZOuJiIiIiIiIiIg8CJ0U/he5fv36Y1u7SJEiODs7P7b1/4lKlizJkiVLzNoWL15sliR+lNzc3HBwyFniQURERERERERE5O+kpPBjkp6eTlhYGE899RR2dnbUr1+f/fv3G/2RkZEUKlTIbM6GDRswmUzG51tlEBYsWEDp0qWxs7MDwGQysWDBAtq1a4eDgwPlypVj48aNxrzMzEz69OlD6dKlsbe3x8/Pj5kzZ+Ya752lDubOnUu5cuWws7OjePHivPDCC2ZjBw8ezJAhQyhcuDDFixdn/vz5XLlyhV69euHs7IyPjw9ffvllrnsuXbqUwMBAnJ2dcXd3p0uXLly4cMHoj46OxmQysX37dgIDA3FwcKBu3bqcOHHCbJ3JkydTvHhxnJ2d6dOnD9euXct131t69uxJRESEWVtERAQ9e/bMMfbYsWM0b94cJycnihcvTvfu3fn999+N/itXrtCjRw+cnJzw8PBg+vTpOda4s3zE+++/T0BAAI6Ojnh6ejJgwADS0tLyFLuIiIiIiIiIiMiDUlL4MRk2bBhr165l8eLFHDp0CB8fH4KCgvjjjz/ytc6pU6dYu3Yt69atIzY21mgfO3YsHTt25MiRI7Ro0YKuXbsaa2dlZfH000+zZs0ajh8/zujRo3n77bdZvXp1nvY8cOAAYWFhjBs3jhMnTrBlyxYaNmxoNmbx4sUUK1aMffv2MXjwYPr378+LL75I3bp1OXToEM8//zzdu3fn6tWr99wnIyOD8ePHc/jwYTZs2EBiYiIhISE5xo0cOZLp06dz4MABrKys6N27t9G3evVqwsPDmThxIgcOHMDDw4O5c+fm6T7/97//8eeff7J7924Adu/ezZ9//knr1q3Nxl26dImmTZtSrVo1Dhw4wJYtW/j111/p2LGjMebNN99k586dfP7552zdupXo6GgOHTqU6/4WFhbMmjWLH374gcWLF/P1118zbNiwXOekp6eTmppqdomIiIiIiIiIiOSHago/BleuXGHevHlERkbSvHlzAObPn8+2bdtYuHAhb775Zp7Xun79OkuWLMHNzc2sPSQkhM6dOwMwceJEZs2axb59+wgODsba2pqxY8caY0uXLs2ePXtYvXq1WSLzXpKSknB0dKRVq1Y4OztTqlQpqlWrZjamSpUqvPPOOwCMGDGCyZMnU6xYMfr27QvA6NGjmTdvHkeOHOGZZ5656z63J3fLlCnDrFmzqFmzJmlpaTg5ORl97777Lo0aNQLgrbfeomXLlly7dg07OztmzJhBnz596NOnDwATJkzgq6++ytNpYWtra7p168aiRYuoX78+ixYtolu3bjlqK8+ZM4dq1aoxceJEo23RokV4enpy8uRJSpQowcKFC1m2bBnPPvsscDNp/vTTT+e6/50voZswYQL9+vXLNak9adIks+9WREREREREREQkv3RS+DFISEggIyODevXqGW3W1tbUqlWLuLi4fK1VqlSpHAlhgMqVKxs/Ozo64uLiYlZ64cMPP6RGjRq4ubnh5OTEJ598QlJSUp72fO655yhVqhRlypShe/fuLF++PMeJ39v3t7S0pGjRogQEBBhtxYsXBzCL6U4HDx6kdevWeHl54ezsbCR+74zz9r08PDzM1o2Li6N27dpm4+vUqZOn+4Sbiek1a9bwyy+/sGbNGrNE9S2HDx9mx44dODk5GVf58uWBm991QkIC169fN4ujSJEi+Pn55br3V199xbPPPkvJkiVxdname/fuXLx4MdfT1SNGjCAlJcW4zp07l+d7FRERERERERERASWFnxgLCwuys7PN2jIyMnKMc3R0vOv8O0+zmkwmsrKyAFi1ahVDhw6lT58+bN26ldjYWHr16pXnF9U5Oztz6NAhVq5ciYeHB6NHj6ZKlSpcunQp1/1vb7tVG/lWTHe6cuUKQUFBuLi4sHz5cvbv38/69euBnC/Uy8+6+RUQEED58uXp3Lkz/v7+VKpUKceYtLQ0WrduTWxsrNkVHx+fo6xGXiUmJtKqVSsqV67M2rVrOXjwIB9++CGQ+wsFbW1tcXFxMbtERERERERERETyQ0nhx6Bs2bLY2NgQExNjtGVkZLB//34qVKgAgJubG5cvX+bKlSvGmNtrBj+MmJgY6taty4ABA6hWrRo+Pj4kJCTkaw0rKyuaNWvGe++9x5EjR0hMTOTrr79+JPEB/Pjjj1y8eJHJkyfToEEDypcvn+up4nvx9/dn7969Zm3fffddvtbo3bs30dHRdz0lDFC9enV++OEHvL298fHxMbscHR0pW7Ys1tbWZnH8+eefnDx58p57Hjx4kKysLKZPn84zzzyDr68vP//8c77iFhEREREREREReRBKCj8Gjo6O9O/fnzfffJMtW7Zw/Phx+vbty9WrV43at7Vr18bBwYG3336bhIQEVqxYQWRk5CPZv1y5chw4cICoqChOnjzJqFGj2L9/f57nb9q0iVmzZhEbG8vZs2dZsmQJWVlZ9y2HkB9eXl7Y2Ngwe/ZsTp8+zcaNGxk/fny+13n11VdZtGgRERERnDx5kjFjxvDDDz/ka42+ffvy22+/ERoaetf+gQMH8scff9C5c2f2799PQkICUVFR9OrVi8zMTJycnOjTpw9vvvkmX3/9NceOHSMkJAQLi3v/5+Xj40NGRoZx/0uXLuWjjz7KV9wiIiIiIiIiIiIPQknhRygrKwsrq5vv7ps8eTIdOnSge/fuVK9enVOnThEVFUXhwoWBmzVnly1bxubNmwkICGDlypWEh4c/kjheeeUV2rdvT6dOnahduzYXL15kwIABeZ5fqFAh1q1bR9OmTfH39+ejjz5i5cqVVKxY8ZHEBzdPSkdGRrJmzRoqVKjA5MmTmTZtWr7X6dSpE6NGjWLYsGHUqFGDs2fP0r9//3ytYWVlRbFixYzv7k4lSpQgJiaGzMxMnn/+eQICAhgyZAiFChUyEr9Tp06lQYMGtG7dmmbNmlG/fn1q1Khxzz2rVKnC+++/z5QpU6hUqRLLly9n0qRJ+YpbRERERERERETkQZiy7yxsKw8sODgYHx8f5syZ86RDkQIiNTUVV1dXUlJSVF9YRERERERERKQAy0+eSCeFH4E///yTTZs2ER0dTbNmzZ50OCIiIiIiIiIiIiL3dPe/l5d86d27N/v37+eNN96gTZs2TzocERERERERERERkXtSUvgRWL9+/ZMOQQq4SmOisLB1uGd/4uSWf2M0IiIiIiIiIiLyT6byEVJgRUdHYzKZuHTpUr7nNm7cmCFDhhifvb29mTFjhvHZZDKxYcOGh45RRERERERERETkUdNJYflPMplMufaPGTOGxo0bP/D669atw9ra+oHni4iIiIiIiIiIPClKCst/UnJysvHzp59+yujRozlx4oTR5uTkxIEDB/K97vXr17GxsaFIkSKPJM777SMiIiIiIiIiIvKoqXyE/Ce5u7sbl6urKyaTyazNycnJGHvw4EECAwNxcHCgbt26Zsnj8PBwqlatyoIFCyhdujR2dnZAzvIR93Pu3Dk6duxIoUKFKFKkCG3atCExMdHoDwkJoW3btrz77ruUKFECPz+/h34GIiIiIiIiIiIid6OksBR4I0eOZPr06Rw4cAArKyt69+5t1n/q1CnWrl3LunXriI2Nzff6GRkZBAUF4ezszDfffENMTAxOTk4EBwdz/fp1Y9z27ds5ceIE27ZtY9OmTXddKz09ndTUVLNLREREREREREQkP1Q+Qgq8d999l0aNGgHw1ltv0bJlS65du2acCr5+/TpLlizBzc3tgdb/9NNPycrKYsGCBUat44iICAoVKkR0dDTPP/88AI6OjixYsCDXshGTJk1i7NixDxSHiIiIiIiIiIgI6KSwCJUrVzZ+9vDwAODChQtGW6lSpR44IQxw+PBhTp06hbOzM05OTjg5OVGkSBGuXbtGQkKCMS4gIOC+dYRHjBhBSkqKcZ07d+6B4xIRERERERERkYJJJ4WlwLO2tjZ+vnWSNysry2hzdHR8qPXT0tKoUaMGy5cvz9F3e7I5L/vY2tpia2v7UPGIiIiIiIiIiEjBpqSwyGNWvXp1Pv30U5566ilcXFyedDgiIiIiIiIiIlLAqXyEyGPWtWtXihUrRps2bfjmm284c+YM0dHRhIWFcf78+ScdnoiIiIiIiIiIFDA6KSzymDk4OLBr1y6GDx9O+/btuXz5MiVLluTZZ599ZCeHj40N0ilkERERERERERHJE1N2dnb2kw5CRB5Mamoqrq6upKSkKCksIiIiIiIiIlKA5SdPpPIRIiIiIiIiIiIiIgWIykeI/AdUGhOFha1DrmMSJ7f8m6IREREREREREZF/Mp0U/peJjo7GZDJx6dKlJx3K3yoxMRGTyURsbOwDzff29mbGjBmPNCYREREREREREZF/IyWFH6GQkBBMJpNxFS1alODgYI4cOfLI9qhbty7Jycm4uro+sjX/Kxo3bmz2/G9dN27cYP/+/bz88stPOkQREREREREREZEnTknhRyw4OJjk5GSSk5PZvn07VlZWtGrV6pGtb2Njg7u7OyaT6ZGt+V/St29f4/nfuqysrHBzc8PBIffyCiIiIiIiIiIiIgWBksKPmK2tLe7u7ri7u1O1alXeeustzp07x2+//QbcvfxDbGwsJpOJxMREAM6ePUvr1q0pXLgwjo6OVKxYkc2bN991fmRkJIUKFSIqKgp/f3+cnJyMxPTtFixYgL+/P3Z2dpQvX565c+cafdevX2fQoEF4eHhgZ2dHqVKlmDRpEgDZ2dmEh4fj5eWFra0tJUqUICws7J73n5CQQJs2bShevDhOTk7UrFmTr776ymyMt7c3EydOpHfv3jg7O+Pl5cUnn3xiNmbfvn1Uq1YNOzs7AgMD+f777/P0/B0cHIznf+u6teft5SNMJhMLFiygXbt2ODg4UK5cOTZu3Gj0Z2Zm0qdPH0qXLo29vT1+fn7MnDnTbK+QkBDatm3LtGnT8PDwoGjRogwcOJCMjAxjTHp6OsOHD8fT0xNbW1t8fHxYuHCh0X/s2DGaN2+Ok5MTxYsXp3v37vz+++95ulcREREREREREZEHoaTwY5SWlsayZcvw8fGhaNGieZ43cOBA0tPT2bVrF0ePHmXKlCk4OTndc/zVq1eZNm0aS5cuZdeuXSQlJTF06FCjf/ny5YwePZp3332XuLg4Jk6cyKhRo1i8eDEAs2bNYuPGjaxevZoTJ06wfPlyvL29AVi7di0ffPABH3/8MfHx8WzYsIGAgIBc77lFixZs376d77//nuDgYFq3bk1SUpLZuOnTpxvJ3gEDBtC/f39OnDhhrNGqVSsqVKjAwYMHCQ8PN7ufR2Xs2LF07NiRI0eO0KJFC7p27coff/wBQFZWFk8//TRr1qzh+PHjjB49mrfffpvVq1ebrbFjxw4SEhLYsWMHixcvJjIyksjISKO/R48erFy5klmzZhEXF8fHH39sfJeXLl2iadOmVKtWjQMHDrBlyxZ+/fVXOnbseM+Y09PTSU1NNbtERERERERERETyw+pJB/Bfs2nTJiPpd+XKFTw8PNi0aRMWFnnPvyclJdGhQwcj+VqmTJlcx2dkZPDRRx9RtmxZAAYNGsS4ceOM/jFjxjB9+nTat28PQOnSpTl+/Dgff/wxPXv2JCkpiXLlylG/fn1MJhOlSpUyi8Xd3Z1mzZphbW2Nl5cXtWrVumcsVapUoUqVKsbn8ePHs379ejZu3MigQYOM9hYtWjBgwAAAhg8fzgcffMCOHTvw8/NjxYoVZGVlsXDhQuzs7KhYsSLnz5+nf//+9312c+fOZcGCBcbnV155henTp991bEhICJ07dwZg4sSJzJo1i3379hEcHIy1tTVjx441xpYuXZo9e/awevVqs6Rt4cKFmTNnDpaWlpQvX56WLVuyfft2+vbty8mTJ1m9ejXbtm2jWbNmgPl3OWfOHKpVq8bEiRONtkWLFuHp6cnJkyfx9fXNEfOkSZPM4hIREREREREREckvnRR+xJo0aUJsbCyxsbHs27ePoKAgmjdvztmzZ/O8RlhYGBMmTKBevXqMGTPmvi+qc3BwMBLCAB4eHly4cAG4mZhOSEigT58+ODk5GdeECRNISEgAbiZHY2Nj8fPzIywsjK1btxprvfjii/z111+UKVOGvn37sn79em7cuHHPWNLS0hg6dCj+/v4UKlQIJycn4uLicpwUrly5svGzyWTC3d3diDkuLo7KlStjZ2dnjKlTp879HhsAXbt2NZ5/bGwsI0aMuOfY22NwdHTExcXFiAHgww8/pEaNGri5ueHk5MQnn3yS4z4qVqyIpaWl8fn2Zx8bG4ulpSWNGjW66/6HDx9mx44dZt9L+fLlAYzv5k4jRowgJSXFuM6dO3efJyIiIiIiIiIiImJOSeFHzNHRER8fH3x8fKhZsyYLFizgypUrzJ8/H8A4MZydnW3Mub0GLUBoaCinT5+me/fuHD16lMDAQGbPnn3PPa2trc0+m0wmY/20tDQA5s+fb5YsPXbsGN999x0A1atX58yZM4wfP56//vqLjh078sILLwDg6enJiRMnmDt3Lvb29gwYMICGDRvmiPmWoUOHsn79eiZOnMg333xDbGwsAQEBXL9+/b4xZ2Vl3fMe88rV1dV4/j4+PhQrVuyeY3OLYdWqVQwdOpQ+ffqwdetWYmNj6dWrV77uw97ePtdY09LSaN26tdn3EhsbS3x8PA0bNrzrHFtbW1xcXMwuERERERERERGR/FD5iMfMZDJhYWHBX3/9BYCbmxsAycnJFC5cGLh5ovROnp6e9OvXj379+jFixAjmz5/P4MGD871/8eLFKVGiBKdPn6Zr1673HOfi4kKnTp3o1KkTL7zwAsHBwfzxxx8UKVIEe3t7WrduTevWrRk4cCDly5fn6NGjVK9ePcc6MTExhISE0K5dO+Bm4vPWC/Tyyt/fn6VLl3Lt2jXjtPCtBPbfJSYmhrp16xolLuDep3fvJSAggKysLHbu3GmUj7hd9erVWbt2Ld7e3lhZ6T9FERERERERERH5e+ik8COWnp7OL7/8wi+//EJcXByDBw82ToQC+Pj44OnpSXh4OPHx8XzxxRc5at4OGTKEqKgozpw5w6FDh9ixYwf+/v4PHNPYsWOZNGkSs2bN4uTJkxw9epSIiAjef/99AN5//31WrlzJjz/+yMmTJ1mzZg3u7u4UKlSIyMhIFi5cyLFjxzh9+jTLli3D3t7erO7w7cqVK8e6deuIjY3l8OHDdOnSJd8ngLt06YLJZKJv374cP36czZs3M23atAe+/wdRrlw5Dhw4QFRUFCdPnmTUqFHs378/X2t4e3vTs2dPevfuzYYNGzhz5gzR0dHGy+oGDhzIH3/8QefOndm/fz8JCQlERUXRq1cvMjMzH8dtiYiIiIiIiIiIKCn8qG3ZsgUPDw88PDyoXbs2+/fvZ82aNTRu3Bi4WW7gVgK2cuXKTJkyhQkTJpitkZmZycCBA/H39yc4OBhfX1/mzp37wDGFhoayYMECIiIiCAgIoFGjRkRGRlK6dGkAnJ2dee+99wgMDKRmzZokJiayefNmLCwsKFSoEPPnz6devXpUrlyZr776iv/7v/+jaNGid93r/fffp3DhwtStW5fWrVsTFBR01xPFuXFycuL//u//OHr0KNWqVWPkyJFMmTLlge//Qbzyyiu0b9+eTp06Ubt2bS5evGh2ajiv5s2bxwsvvMCAAQMoX748ffv25cqVKwCUKFGCmJgYMjMzef755wkICGDIkCEUKlQoXy8mFBERERERERERyQ9T9u3FbUXkXyU1NRVXV1dSUlJUX1hEREREREREpADLT55IxxFFREREREREREREChAlhUVEREREREREREQKEKsnHYCIPLxKY6KwsHW477jEyS3/hmhEREREREREROSf7D93Urhx48YMGTLkodZITEzEZDIRGxtrtMXExBAQEIC1tTVt27bN0zrh4eFUrVr1oWL5N4qMjKRQoUJPOgxCQkLMvqtH8btxL9HR0ZhMJi5duvRY1hcREREREREREXlU/vFJ4ZCQEEwmE/369cvRN3DgQEwmEyEhIUbbunXrGD9+/COP4/XXX6dq1aqcOXOGyMjIR75+QWMymTCZTHz33Xdm7enp6RQtWhSTyUR0dPQj3fPO3w1vb29mzJiR73XullyuW7cuycnJuLq6PmSUIiIiIiIiIiIij9c/PikM4OnpyapVq/jrr7+MtmvXrrFixQq8vLzMxhYpUgRnZ+dHHkNCQgJNmzbl6aef/kecgv0v8PT0JCIiwqxt/fr1ODk5PZb9HtfvBoCNjQ3u7u6YTKbHsr6IiIiIiIiIiMij8q9IClevXh1PT0/WrVtntK1btw4vLy+qVatmNvbOU5ze3t5MnDiR3r174+zsjJeXF5988onZnH379lGtWjXs7OwIDAzk+++/N/pulZK4ePEivXv3xmQyERkZedcSCRs2bMg1KXirnMG0adPw8PCgaNGiDBw4kIyMDGNMeno6Q4cOpWTJkjg6OlK7dm2zE7Nnz56ldevWFC5cGEdHRypWrMjmzZsB+PPPP+natStubm7Y29tTrly5HEnX223ZsoX69etTqFAhihYtSqtWrUhISMhx7+vWraNJkyY4ODhQpUoV9uzZY7ZOZGQkXl5eODg40K5dOy5evHjPPW/Xs2fPHMn+RYsW0bNnzxxjz507R8eOHSlUqBBFihShTZs2JCYmGv2ZmZm8/vrrxr0MGzaM7OxsszVu/91o3LgxZ8+e5bXXXjNOLQNcvHiRzp07U7JkSRwcHAgICGDlypXGGiEhIezcuZOZM2ca8xITE+9aPmLt2rVUrFgRW1tbvL29mT59ulk8efndFBERERERERERedT+FUlhgN69e5slOBctWkSvXr3yNHf69OlGsnfAgAH079+fEydOAJCWlkarVq2oUKECBw8eJDw8nKFDhxpzPT09SU5OxsXFhRkzZpCcnEynTp0e+D527NhBQkICO3bsYPHixUaC+ZZBgwaxZ88eVq1axZEjR3jxxRcJDg4mPj4euFkyIz09nV27dnH06FGmTJlinKwdNWoUx48f58svvyQuLo558+ZRrFixe8Zy5coVXn/9dQ4cOMD27duxsLCgXbt2ZGVlmY0bOXIkQ4cOJTY2Fl9fXzp37syNGzcA2Lt3L3369GHQoEHExsbSpEkTJkyYkKdnUaNGDby9vVm7di0ASUlJ7Nq1i+7du5uNy8jIICgoCGdnZ7755htiYmJwcnIiODiY69evAze/48jISBYtWsTu3bv5448/WL9+/T33XrduHU8//TTjxo0jOTmZ5ORk4OYJ9Bo1avDFF19w7NgxXn75Zbp3786+ffsAmDlzJnXq1KFv377GPE9PzxzrHzx4kI4dO/LSSy9x9OhRwsPDGTVqVI7SI7n9bt5Neno6qampZpeIiIiIiIiIiEh+WD3pAPKqW7dujBgxgrNnzwI3X/y2atWqPNWdbdGiBQMGDABg+PDhfPDBB+zYsQM/Pz9WrFhBVlYWCxcuxM7OjooVK3L+/Hn69+8PgKWlpVEWwNXVFXd394e6j8KFCzNnzhwsLS0pX748LVu2ZPv27fTt25ekpCQiIiJISkqiRIkSAAwdOpQtW7YQERHBxIkTSUpKokOHDgQEBABQpkwZY+2kpCSqVatGYGAgcPMkam46dOhg9nnRokW4ublx/PhxKlWqZLQPHTqUli1bAjB27FgqVqzIqVOnKF++PDNnziQ4OJhhw4YB4Ovry7fffsuWLVvy9Dx69+7NokWL6NatG5GRkbRo0QI3NzezMZ9++ilZWVksWLDAONEbERFBoUKFiI6O5vnnn2fGjBmMGDGC9u3bA/DRRx8RFRV1z32LFCmCpaUlzs7OZt9pyZIlzf5RYPDgwURFRbF69Wpq1aqFq6srNjY2ODg45Pq78P777/Pss88yatQo47kcP36cqVOnmtXAzu13824mTZrE2LFj77mviIiIiIiIiIjI/fxrTgq7ubnRsmVLIiMjiYiIoGXLlrmegr1d5cqVjZ9NJhPu7u5cuHABgLi4OCpXroydnZ0xpk6dOo82+NtUrFgRS0tL47OHh4cRy9GjR8nMzMTX1xcnJyfj2rlzp1HWISwsjAkTJlCvXj3GjBnDkSNHjLX69+/PqlWrqFq1KsOGDePbb7/NNZb4+Hg6d+5MmTJlcHFxMZLISUlJZuNuf34eHh4AZs+vdu3aZuPz8/y6devGnj17OH36NJGRkfTu3TvHmMOHD3Pq1CmcnZ2NZ1KkSBGuXbtGQkICKSkpJCcnm8VhZWVlJMfzIzMzk/HjxxMQEECRIkVwcnIiKioqxzO5n7i4OOrVq2fWVq9ePeLj48nMzDTacvvdvJsRI0aQkpJiXOfOnctXXCIiIiIiIiIiIv+ak8Jw81TpoEGDAPjwww/zPM/a2trss8lkylEiIb8sLCxy1Ky9vTbwg8SSlpaGpaUlBw8eNEscA0aJiNDQUIKCgvjiiy/YunUrkyZNYvr06QwePJjmzZtz9uxZNm/ezLZt23j22WcZOHAg06ZNu2ssrVu3plSpUsyfP58SJUqQlZVFpUqVjJIMd4v51kndh31+t9yqZdynTx+uXbtG8+bNuXz5stmYtLQ0atSowfLly3PMv/NU8cOaOnUqM2fOZMaMGQQEBODo6MiQIUNyPJNHJb+/m7a2ttja2j6WWEREREREREREpGD415wUBowasrdqzD4K/v7+HDlyhGvXrhlt33333X3nubm5cfnyZa5cuWK0xcbGPlQs1apVIzMzkwsXLuDj42N23V6qwNPTk379+rFu3TreeOMN5s+fbxZXz549WbZsGTNmzLjni8suXrzIiRMneOedd3j22Wfx9/fnzz//zHfM/v7+7N2716wtL8/vdr179yY6OpoePXrkSIbDzRcNxsfH89RTT+V4Lq6urri6uuLh4WEWx40bNzh48GCu+9rY2Jid2oWbZUnatGlDt27dqFKlCmXKlOHkyZP3nXcnf39/YmJicqzt6+t713sUERERERERERH5u/yrksKWlpbExcVx/PjxR5ZY69KlCyaTib59+3L8+HE2b958z5O1t6tduzYODg68/fbbJCQksGLFihwvEcsvX19funbtSo8ePVi3bh1nzpxh3759TJo0iS+++AKAIUOGEBUVxZkzZzh06BA7duzA398fgNGjR/P5559z6tQpfvjhBzZt2mT03alw4cIULVqUTz75hFOnTvH111/z+uuv5zvmsLAwtmzZwrRp04iPj2fOnDl5rid8S3BwML/99hvjxo27a3/Xrl0pVqwYbdq04ZtvvuHMmTNER0cTFhbG+fPnAXj11VeZPHkyGzZs4Mcff2TAgAFcunQp1329vb3ZtWsXP/30E7///jsA5cqVY9u2bXz77bfExcXxyiuv8Ouvv+aYt3fvXhITE/n999/verL3jTfeYPv27YwfP56TJ0+yePFi5syZY1avWERERERERERE5En4VyWFAVxcXHBxcXlk6zk5OfF///d/HD16lGrVqjFy5EimTJly33lFihRh2bJlbN68mYCAAFauXEl4ePhDxxMREUGPHj1444038PPzo23btuzfvx8vLy/gZs3bgQMH4u/vT3BwML6+vsydOxe4eYJ1xIgRVK5cmYYNG2JpacmqVavuuo+FhQWrVq3i4MGDVKpUiddee42pU6fmO95nnnmG+fPnM3PmTKpUqcLWrVt555138rWGyWSiWLFi2NjY3LXfwcGBXbt24eXlRfv27fH39zfKTdz6XXjjjTfo3r07PXv2pE6dOjg7O9OuXbtc9x03bhyJiYmULVvWKEPxzjvvUL16dYKCgmjcuDHu7u60bdvWbN7QoUOxtLSkQoUKuLm53bXecPXq1Vm9ejWrVq2iUqVKjB49mnHjxpm9ZE5ERERERERERORJMGXfWRhXRP41UlNTcXV1JSUl5ZH+Y4mIiIiIiIiIiPy75CdP9K87KSwiIiIiIiIiIiIiD05JYREREREREREREZECxOpJByAiD6/SmCgsbB3yPD5xcsvHGI2IiIiIiIiIiPyT6aSwPHLh4eFUrVr1SYfxtzOZTGzYsOFJhyEiIiIiIiIiIpIrJYUf0G+//Ub//v3x8vLC1tYWd3d3goKCiImJ+Vv29/b2ZsaMGX/LXo9aYmIiJpPJuIoUKUKjRo345ptvnnRoeXKvpHdycjLNmzf/+wMSERERERERERHJByWFH1CHDh34/vvvWbx4MSdPnmTjxo00btyYixcvPtZ9r1+//ljX/zt99dVXJCcns2vXLkqUKEGrVq349ddfH9t+GRkZj21tAHd3d2xtbR/rHiIiIiIiIiIiIg9LSeEHcOnSJb755humTJlCkyZNKFWqFLVq1WLEiBH873//M8aZTCbmzZtH8+bNsbe3p0yZMnz22Wdmax09epSmTZtib29P0aJFefnll0lLSzP6Q0JCaNu2Le+++y4lSpTAz8+Pxo0bc/bsWV577TXjtC3A2bNnad26NYULF8bR0ZGKFSuyefPme97H0qVLCQwMxNnZGXd3d7p06cKFCxeM/ujoaEwmE9u3bycwMBAHBwfq1q3LiRMnzNaZPHkyxYsXx9nZmT59+nDt2rU8PceiRYvi7u5OpUqVePvtt0lNTWXv3r1G/7Fjx2jevDlOTk4UL16c7t278/vvvxv9WVlZvPfee/j4+GBra4uXlxfvvvsu8P9OI3/66ac0atQIOzs7li9fDsCCBQvw9/fHzs6O8uXLM3fuXLO4hg8fjq+vLw4ODpQpU4ZRo0YZCeXIyEjGjh3L4cOHjWcfGRkJ5Cwfkdfvdtq0aXh4eFC0aFEGDhyYa/I6PT2d1NRUs0tERERERERERCQ/lBR+AE5OTjg5ObFhwwbS09NzHTtq1Cg6dOjA4cOH6dq1Ky+99BJxcXEAXLlyhaCgIAoXLsz+/ftZs2YNX331FYMGDTJbY/v27Zw4cYJt27axadMm1q1bx9NPP824ceNITk4mOTkZgIEDB5Kens6uXbs4evQoU6ZMwcnJ6Z6xZWRkMH78eA4fPsyGDRtITEwkJCQkx7iRI0cyffp0Dhw4gJWVFb179zb6Vq9eTXh4OBMnTuTAgQN4eHjkSLLez19//cWSJUsAsLGxAW4m3ps2bUq1atU4cOAAW7Zs4ddff6Vjx47GvBEjRjB58mRGjRrF8ePHWbFiBcWLFzdb+6233uLVV18lLi6OoKAgli9fzujRo3n33XeJi4tj4sSJjBo1isWLFxtznJ2diYyM5Pjx48ycOZP58+fzwQcfANCpUyfeeOMNKlasaDz7Tp065binvH63O3bsICEhgR07drB48WIiIyONJPPdTJo0CVdXV+Py9PTM17MWERERERERERExZWdnZz/pIP6N1q5dS9++ffnrr7+oXr06jRo14qWXXqJy5crGGJPJRL9+/Zg3b57R9swzz1C9enXmzp3L/PnzGT58OOfOncPR0RGAzZs307p1a37++WeKFy9OSEgIW7ZsISkpyUiYws2awkOGDGHIkCFGW+XKlenQoQNjxox5oHs6cOAANWvW5PLlyzg5OREdHU2TJk346quvePbZZ434WrZsyV9//YWdnR1169alWrVqfPjhh2b3eO3aNWJjY++6T2JiIqVLl8be3h4LCwuuXr1KdnY2NWrUYM+ePVhbWzNhwgS++eYboqKijHnnz5/H09OTEydO4OHhgZubG3PmzCE0NPSee8yYMYNXX33VaPfx8WH8+PF07tzZaJswYQKbN2/m22+/vWu806ZNY9WqVRw4cAC4WVN4w4YNOe7PZDKxfv162rZtm+fvNjo6moSEBCwtLQHo2LEjFhYWrFq16q6xpKenm/1DRGpqKp6enngOWY2FrcNd59xN4uSWeR4rIiIiIiIiIiL/fKmpqbi6upKSkoKLi0uuY3VS+AF16NCBn3/+mY0bNxIcHEx0dDTVq1fPccqzTp06OT7fOikcFxdHlSpVjKQhQL169cjKyjIr0RAQEGCWEL6XsLAwJkyYQL169RgzZgxHjhzJdfzBgwdp3bo1Xl5eODs706hRIwCSkpLMxt2e6Pbw8AAwykzExcVRu3btXO/5Xj799FO+//571q5di4+PD5GRkVhbWwNw+PBhduzYYZzKdnJyonz58gAkJCQQFxdHenq6kay+l8DAQOPnK1eukJCQQJ8+fczWnTBhAgkJCWZx1atXD3d3d5ycnHjnnXdyPJP7yet3W7FiRSMhDDef7+0lPO5ka2uLi4uL2SUiIiIiIiIiIpIfSgo/BDs7O5577jlGjRrFt99+S0hIyAOf0s3N7YnF3ISGhnL69Gm6d+/O0aNHCQwMZPbs2Xcde6u8gYuLC8uXL2f//v2sX78eyPkyu1uJWsCoX5yVlfUgt2LG09OTcuXK0a5dOyZOnEi7du2MU7BpaWm0bt2a2NhYsys+Pp6GDRtib2+fpz1uf3a36vnOnz/fbM1jx47x3XffAbBnzx66du1KixYt2LRpE99//z0jR458bC/4u/3Zws3n+yierYiIiIiIiIiIyL0oKfwIVahQgStXrpi13Uo23v7Z398fAH9/fw4fPmw2JyYmBgsLC/z8/HLdy8bGhszMzBztnp6e9OvXj3Xr1vHGG28wf/78u87/8ccfuXjxIpMnT6ZBgwaUL18+1xOq9+Lv72/2cjjIec958cILL2BlZWXUI65evTo//PAD3t7e+Pj4mF2Ojo6UK1cOe3t7tm/fnuc9ihcvTokSJTh9+nSONUuXLg3At99+S6lSpRg5ciSBgYGUK1eOs2fPmq1zr2d/u4f5bkVERERERERERB4nJYUfwMWLF2natCnLli3jyJEjnDlzhjVr1vDee+/Rpk0bs7Fr1qxh0aJFnDx5kjFjxrBv3z7jZWNdu3bFzs6Onj17cuzYMXbs2MHgwYPp3r17jhem3cnb25tdu3bx008/8fvvvwMwZMgQoqKiOHPmDIcOHWLHjh1GAvpOXl5e2NjYMHv2bE6fPs3GjRsZP358vp/Fq6++yqJFi4iIiDDu8Ycffsj3OiaTibCwMCZPnszVq1cZOHAgf/zxB507d2b//v0kJCQQFRVFr169yMzMxM7OjuHDhzNs2DCWLFlCQkIC3333HQsXLsx1n7FjxzJp0iRmzZrFyZMnOXr0KBEREbz//vsAlCtXjqSkJFatWkVCQgKzZs0yTlDf4u3tzZkzZ4iNjeX333+/68sGH+a7FREREREREREReZysnnQA/0ZOTk7Url2bDz74gISEBDIyMvD09KRv3768/fbbZmPHjh3LqlWrGDBgAB4eHqxcuZIKFSoA4ODgQFRUFK+++io1a9bEwcGBDh06GAnK3IwbN45XXnmFsmXLkp6eTnZ2NpmZmQwcOJDz58/j4uJCcHAwH3zwwV3nu7m5ERkZydtvv82sWbOoXr0606ZN43//+1++nkWnTp1ISEhg2LBhXLt2jQ4dOtC/f3+zF8TlVc+ePRk5ciRz5sxh2LBhxMTEMHz4cJ5//nnS09MpVaoUwcHBWFjc/LeMUaNGYWVlxejRo/n555/x8PCgX79+ue4RGhqKg4MDU6dO5c0338TR0ZGAgADjhX3/+9//eO211xg0aBDp6em0bNmSUaNGER4ebqzRoUMH1q1bR5MmTbh06RIRERGEhISY7fMw3+2DODY2SPWFRUREREREREQkT0zZ2dnZTzqI/yqTycT69etp27btkw5F/qPy81ZJERERERERERH578pPnkjlI0REREREREREREQKEJWPEPkPqDQmCgtbhzyPT5zc8jFGIyIiIiIiIiIi/2Q6KfwYZWdnP5bSEZGRkRQqVCjXMSEhIWZ7N27c2Kib+0/h7e3NjBkz/vZ9f/nlF5577jkcHR3v+xzz6s7n/aBMJhMbNmx46HVERERERERERETuRUnhf6CQkBBMJhMmkwkbGxt8fHwYN24cN27cyPMaM2fOJDIy8vEF+S/2wQcfkJycTGxsLCdPnrzrmPDwcEwmE8HBwTn6pk6dislkonHjxkabnreIiIiIiIiIiPxbqHzEP1RwcDARERGkp6ezefNmBg4ciLW1NSNGjMjTfFdX18cc4b9XQkICNWrUoFy5crmO8/DwYMeOHZw/f56nn37aaF+0aBFeXl5mY/W8RURERERERETk30Inhf+hbG1tcXd3p1SpUvTv359mzZqxceNGszFRUVH4+/vj5OREcHAwycnJRt/9yhn8+eef9OjRg8KFC+Pg4EDz5s2Jj483+s+ePUvr1q0pXLgwjo6OVKxYkc2bNxv9O3fupFatWtja2uLh4cFbb71ldpK5cePGDBo0iEGDBuHq6kqxYsUYNWoU2dnZZnFcvXqV3r174+zsjJeXF5988onR17RpUwYNGmQ2/rfffsPGxobt27ff897mzZtH2bJlsbGxwc/Pj6VLlxp93t7erF27liVLlmAymQgJCbnnOk899RTPP/88ixcvNtq+/fZbfv/9d1q2NK/Je7dyHWFhYQwbNowiRYrg7u5OeHi42Zz4+HgaNmyInZ0dFSpUYNu2bfeMRURERERERERE5FFRUvhfwt7enuvXrxufr169yrRp01i6dCm7du0iKSmJoUOH5nm9kJAQDhw4wMaNG9mzZw/Z2dm0aNGCjIwMAAYOHEh6ejq7du3i6NGjTJkyBScnJwB++uknWrRoQc2aNTl8+DDz5s1j4cKFTJgwwWyPxYsXY2Vlxb59+5g5cybvv/8+CxYsMBszffp0AgMD+f777xkwYAD9+/fnxIkTAISGhrJixQrS09ON8cuWLaNkyZI0bdr0rve1fv16Xn31Vd544w2OHTvGK6+8Qq9evdixYwcA+/fvJzg4mI4dO5KcnMzMmTNzfU69e/c2KwuxaNEiunbtio2NzX2f8eLFi3F0dGTv3r289957jBs3zkj8ZmVl0b59e2xsbNi7dy8fffQRw4cPv++a6enppKamml0iIiIiIiIiIiL5oaTwP1x2djZfffUVUVFRZonQjIwMPvroIwIDA6levTqDBg3K9fTs7eLj49m4cSMLFiygQYMGVKlSheXLl/PTTz8ZLzlLSkqiXr16BAQEUKZMGVq1akXDhg0BmDt3Lp6ensyZM4fy5cvTtm1bxo4dy/Tp08nKyjL28fT05IMPPsDPz4+uXbsyePBgPvjgA7NYWrRowYABA/Dx8WH48OEUK1bMSOC2b98egM8//9wYHxkZadRcvptp06YREhLCgAED8PX15fXXX6d9+/ZMmzYNADc3N2xtbbG3t8fd3f2+ZR9atWpFamoqu3bt4sqVK6xevZrevXvn6TlXrlyZMWPGUK5cOXr06EFgYKDxHX311Vf8+OOPLFmyhCpVqtCwYUMmTpx43zUnTZqEq6urcXl6euYpFhERERERERERkVuUFP6H2rRpE05OTtjZ2dG8eXM6depkVn7AwcGBsmXLGp89PDy4cOFCntaOi4vDysqK2rVrG21FixbFz8+PuLg4AMLCwpgwYQL16tVjzJgxHDlyxGx+nTp1zBKz9erVIy0tjfPnzxttzzzzjNmYOnXqEB8fT2ZmptFWuXJl42eTyYS7u7txH3Z2dnTv3p1FixYBcOjQIY4dO5ZryYe4uDjq1atn1lavXj3jvvLL2tqabt26ERERwZo1a/D19TWLOTd3jrv9O4qLi8PT05MSJUoY/XXq1LnvmiNGjCAlJcW4zp07l4+7ERERERERERERUVL4H6tJkybExsYSHx/PX3/9ZZQiuMXa2tpsvMlkylGv92GEhoZy+vRpunfvztGjRwkMDGT27NmPbP1b7nYft582Dg0NZdu2bZw/f56IiAiaNm1KqVKlHnkcuenduzdr1qzhww8/zPMpYbj/vT0IW1tbXFxczC4REREREREREZH8UFL4H8rR0REfHx+8vLywsrJ6pGv7+/tz48YN9u7da7RdvHiREydOUKFCBaPN09OTfv36sW7dOt544w3mz59vzL9Vh/iWmJgYnJ2defrpp42229cH+O677yhXrhyWlpZ5jjUgIIDAwEDmz5/PihUr7puU9ff3JyYmxqwtJibG7L7yq2LFilSsWJFjx47RpUuXB17ndv7+/pw7d87s5YDffffdI1lbREREREREREQkN0oKF0DlypWjTZs29O3bl927d3P48GG6detGyZIladOmDQBDhgwhKiqKM2fOcOjQIXbs2IG/vz8AAwYM4Ny5cwwePJgff/yRzz//nDFjxvD6669jYfH/fqWSkpJ4/fXXOXHiBCtXrmT27Nm8+uqr+Y43NDSUyZMnk52dTbt27XId++abbxIZGcm8efOIj4/n/fffZ926dfl6Cd/dfP311yQnJ1OoUKGHWueWZs2a4evrS8+ePTl8+DDffPMNI0eOfCRri4iIiIiIiIiI5EZJ4QIqIiKCGjVq0KpVK+rUqUN2djabN282Sh5kZmYycOBA/P39CQ4OxtfXl7lz5wJQsmRJNm/ezL59+6hSpQr9+vWjT58+vPPOO2Z79OjRg7/++otatWoxcOBAXn31VV5++eV8x9q5c2esrKzo3LkzdnZ2uY5t27YtM2fOZNq0aVSsWJGPP/6YiIgIGjdunO99b+fo6PjIEsIAFhYWrF+/3ng+oaGhvPvuu49sfRERERERERERkXsxZT/KQrQi/7/GjRtTtWpVZsyY8dBrJSYmUrZsWfbv30/16tUfPrj/kNTUVFxdXUlJSVF9YRERERERERGRAiw/eaJHW6xW5BHKyMjg4sWLvPPOOzzzzDNKCIuIiIiIiIiIiDwCKh8h/1gxMTF4eHiwf/9+PvrooycdjoiIiIiIiIiIyH+CykeI/Ivd+rMAzyGrsbB1eOB1Eie3fIRRiYiIiIiIiIjI3y0/5SN0Ulj+00JCQmjbtu1DrREZGflIXzInIiIiIiIiIiLyJCkpLH+LkJAQTCYTJpMJGxsbfHx8GDduHDdu3HjSoYmIiIiIiIiIiBQoetGc/G2Cg4OJiIggPT2dzZs3M3DgQKytrRkxYsSTDk1ERERERERERKTA0Elh+dvY2tri7u5OqVKl6N+/P82aNWPjxo1ER0dTq1YtHB0dKVSoEPXq1ePs2bMkJiZiYWHBgQMHzNaZMWMGpUqVIisrC4AffviBVq1a4eLigrOzMw0aNCAhIcFszrRp0/Dw8KBo0aIMHDiQjIwMo+/PP/+kR48eFC5cGAcHB5o3b058fHyu9zJv3jzKli2LjY0Nfn5+LF261Kz/xx9/pH79+tjZ2VGhQgW++uorTCYTGzZsAKBp06YMGjTIbM5vv/2GjY0N27dvz9dzFRERERERERERyQ8lheWJsbe35/r167Rt25ZGjRpx5MgR9uzZw8svv4zJZMLb25tmzZoRERFhNi8iIoKQkBAsLCz46aefaNiwIba2tnz99dccPHiQ3r17m5Wl2LFjBwkJCezYsYPFixcTGRlJZGSk0R8SEsKBAwfYuHEje/bsITs7mxYtWpgljm+3fv16Xn31Vd544w2OHTvGK6+8Qq9evdixYwcAmZmZtG3bFgcHB/bu3csnn3zCyJEjzdYIDQ1lxYoVpKenG23Lli2jZMmSNG3a9J7PLD09ndTUVLNLREREREREREQkP5QUlr9ddnY2X331FVFRUVSvXp2UlBRatWpF2bJl8ff3p2fPnnh5eQE3k6crV640kqeHDh3i6NGj9OrVC4APP/wQV1dXVq1aRWBgIL6+vvTq1Qs/Pz9jv8KFCzNnzhzKly9Pq1ataNmypXEaNz4+no0bN7JgwQIaNGhAlSpVWL58OT/99JNxqvdO06ZNIyQkhAEDBuDr68vrr79O+/btmTZtGgDbtm0jISGBJUuWUKVKFerXr8+7775rtkb79u0B+Pzzz422yMhIo/byvUyaNAlXV1fj8vT0zM+jFxERERERERERUVJY/j6bNm3CyckJOzs7mjdvTqdOnZgxYwYhISEEBQXRunVrZs6cSXJysjGnbdu2WFpasn79euBm4rRJkyZ4e3sDEBsbS4MGDbC2tr7nvhUrVsTS0tL47OHhwYULFwCIi4vDysqK2rVrG/1FixbFz8+PuLi4u64XFxdHvXr1zNrq1atnjD9x4gSenp64u7sb/bVq1TIbb2dnR/fu3Vm0aBFwM9l97NgxQkJC7nkfACNGjCAlJcW4zp07l+t4ERERERERERGROykpLH+bJk2aEBsbS3x8PH/99ReLFy/G0dGRiIgI9uzZQ926dfn000/x9fXlu+++A8DGxoYePXoQERHB9evXWbFiBb179zbWtLe3v+++dyaMTSaTUY/4SQoNDWXbtm2cP3+eiIgImjZtSqlSpXKdY2tri4uLi9klIiIiIiIiIiKSH0oKy9/G0dERHx8fvLy8sLKyMuurVq0aI0aM4Ntvv6VSpUqsWLHC6AsNDeWrr75i7ty53Lhxwyi9AFC5cmW++eabe9b/vR9/f39u3LjB3r17jbaLFy9y4sQJKlSocM85MTExZm0xMTHGeD8/P86dO8evv/5q9O/fvz/HOgEBAQQGBjJ//vwcyW4REREREREREZHHRUlheaLOnDnDiBEj2LNnD2fPnmXr1q3Ex8fj7+9vjPH39+eZZ55h+PDhdO7c2ex08KBBg0hNTeWll17iwIEDxMfHs3TpUk6cOJGn/cuVK0ebNm3o27cvu3fv5vDhw3Tr1o2SJUvSpk2bu8558803iYyMZN68ecTHx/P++++zbt06hg4dCsBzzz1H2bJl6dmzJ0eOHCEmJoZ33nkHIEe94NDQUCZPnkx2djbt2rXL17MTERERERERERF5EEoKyxPl4ODAjz/+SIcOHfD19eXll19m4MCBvPLKK2bj+vTpw/Xr13Ocpi1atChff/01aWlpNGrUiBo1ajB//vxcawzfKSIigho1atCqVSvq1KlDdnY2mzdvvucabdu2ZebMmUybNo2KFSvy8ccfExERQePGjQGwtLRkw4YNpKWlUbNmTUJDQxk5ciRws5bw7Tp37oyVlRWdO3fO0SciIiIiIiIiIvI4mLKzs7OfdBAi9zN+/HjWrFnDkSNHnnQoDyQmJob69etz6tQpypYta7QnJiZStmxZ9u/fT/Xq1fO9bmpqKq6urqSkpKi+sIiIiIiIiIhIAZafPJFVrr0iT1haWhqJiYnMmTOHCRMmPOlw8mz9+vU4OTlRrlw5Tp06xauvvkq9evWMhHBGRgYXL17knXfe4ZlnnnmghLCIiIiIiIiIiMiDUPkI+UcbNGgQNWrUoHHjxv+qF7FdvnyZgQMHUr58eUJCQqhZsyaff/650R8TE4OHhwf79+/no48+eoKRioiIiIiIiIhIQaPyEQJAdHQ0TZo04c8//6RQoUL3HOft7c2QIUMYMmTI3xbbvURGRjJkyBAuXbqU77mJiYmULl2a77//nqpVqz7y2P4ut/4swHPIaixsHR56vcTJLR9BVCIiIiIiIiIi8nfLT/kInRT+BwsJCaFt27Y52qOjozGZTA+UDM2ryMjIXJPD/xYmkynHVb9+fTw9PUlOTqZSpUrA3/NMRURERERERERE/glUU1j+8yIiIggODjY+29jYYGlpibu7+xOMSkRERERERERE5MnQSeH/iN27d9OgQQPs7e3x9PQkLCyMK1euGP1Lly4lMDAQZ2dn3N3d6dKlCxcuXLjrWtHR0fTq1YuUlBTjdG14eLjRf/XqVXr37o2zszNeXl588sknuca2ZcsW6tevT6FChShatCitWrUiISHB6E9MTMRkMrFu3TqaNGmCg4MDVapUYc+ePWbrREZG4uXlhYODA+3atePixYt5ejaFChXC3d3duIoUKWLsGRsbS2JiIk2aNAGgcOHCmEwmQkJCAGjcuDFhYWEMGzaMIkWK4O7ubvYsAC5dukRoaChubm64uLjQtGlTDh8+bPQfPnyYJk2a4OzsjIuLCzVq1ODAgQMAnD17ltatW1O4cGEcHR2pWLEimzdvztN9iYiIiIiIiIiIPAglhf8DEhISCA4OpkOHDhw5coRPP/2U3bt3M2jQIGNMRkYG48eP5/Dhw2zYsIHExEQj8XmnunXrMmPGDFxcXEhOTiY5OZmhQ4ca/dOnTycwMJDvv/+eAQMG0L9/f06cOHHP+K5cucLrr7/OgQMH2L59OxYWFrRr146srCyzcSNHjmTo0KHExsbi6+tL586duXHjBgB79+6lT58+DBo0iNjYWJo0acKECRMe4qn9P56enqxduxaAEydOkJyczMyZM43+xYsX4+joyN69e3nvvfcYN24c27ZtM/pffPFFLly4wJdffsnBgwepXr06zz77LH/88QcAXbt25emnn2b//v0cPHiQt956C2trawAGDhxIeno6u3bt4ujRo0yZMgUnJ6d7xpqenk5qaqrZJSIiIiIiIiIikh960dw/WEhICMuWLcPOzs6sPTMzk2vXrhkvhQsNDcXS0pKPP/7YGLN7924aNWrElStXcswHOHDgADVr1uTy5cs4OTnleNHcvV7i5u3tTYMGDVi6dCkA2dnZuLu7M3bsWPr165en+/r9999xc3Pj6NGjVKpUyXjp24IFC+jTpw8Ax48fp2LFisTFxVG+fHm6dOlCSkoKX3zxhbHOSy+9xJYtW3KtA2wymbCzs8PS0tJoW7ZsGVWrVjV70dy9XrTXuHFjMjMz+eabb4y2WrVq0bRpUyZPnszu3btp2bIlFy5cwNbW1hjj4+PDsGHDePnll3FxcWH27Nn07NkzR3yVK1emQ4cOjBkzJk/PLjw8nLFjx+Zo14vmREREREREREQKNr1o7j+kSZMmxMbGml0LFiwwG3P48GEiIyNxcnIyrqCgILKysjhz5gwABw8epHXr1nh5eeHs7EyjRo0ASEpKyndMlStXNn42mUy4u7vfsxQFQHx8PJ07d6ZMmTK4uLjg7e19171vX9fDwwPAWDcuLo7atWubja9Tp06e4v3ggw/Mnt9zzz2Xp3l3i+tWbLfiOnz4MGlpaRQtWtTs+Z85c8YokfH6668TGhpKs2bNmDx5slnpjLCwMCZMmEC9evUYM2YMR44cyTWWESNGkJKSYlznzp3L172IiIiIiIiIiIjoRXP/cI6Ojvj4+Ji1nT9/3uxzWloar7zyCmFhYTnme3l5ceXKFYKCgggKCmL58uW4ubmRlJREUFAQ169fz3dMt0of3GIymXKUgrhd69atKVWqFPPnz6dEiRJkZWVRqVKlHHvfvq7JZALIdd28cnd3z/EMf/vttzzPz+1+09LS8PDwIDo6Ose8WyeOw8PD6dKlC1988QVffvklY8aMYdWqVbRr147Q0FCCgoL44osv2Lp1K5MmTWL69OkMHjz4rrHY2tqanUgWERERERERERHJLyWF/wOqV6/O8ePHcyQ+bzl69CgXL15k8uTJeHp6AhgvOrsXGxsbMjMzHzq2ixcvcuLECebPn0+DBg2Am6Ut8svf35+9e/eatX333XcPHd8tNjY2APm+5+rVq/PLL79gZWVlnIC+G19fX3x9fXnttdfo3LkzERERtGvXDrhZ07hfv37069ePESNGMH/+/HsmhUVERERERERERB6Wykf8BwwfPpxvv/3WeAlbfHw8n3/+ufGiOS8vL2xsbJg9ezanT59m48aNjB8/Ptc1vb29SUtLY/v27fz+++9cvXr1gWIrXLgwRYsW5ZNPPuHUqVN8/fXXvP766/leJywsjC1btjBt2jTi4+OZM2cOW7ZseaCY7qZUqVKYTCY2bdrEb7/9RlpaWp7mNWvWjDp16tC2bVu2bt1KYmIi3377LSNHjuTAgQP89ddfDBo0iOjoaM6ePUtMTAz79+/H398fgCFDhhAVFcWZM2c4dOgQO3bsMPpEREREREREREQeByWF/wMqV67Mzp07OXnyJA0aNKBatWqMHj2aEiVKAODm5kZkZCRr1qyhQoUKTJ48mWnTpuW6Zt26denXrx+dOnXCzc2N995774Fis7CwYNWqVRw8eJBKlSrx2muvMXXq1Hyv88wzzzB//nxmzpxJlSpV2Lp1K++8884DxXQ3JUuWZOzYsbz11lsUL17cSKjfj8lkYvPmzTRs2JBevXrh6+vLSy+9xNmzZylevDiWlpZcvHiRHj164OvrS8eOHWnevLnxsrjMzEwGDhyIv78/wcHB+Pr6Mnfu3Ed2XyIiIiIiIiIiIncyZWdnZz/pIETkweTnrZIiIiIiIiIiIvLflZ88kU4Ki4iIiIiIiIiIiBQgSgqLiIiIiIiIiIiIFCBWTzoAEXl4lcZEYWHr8NDrJE5u+QiiERERERERERGRfzKdFJZ/lMjISAoVKpTrmJCQENq2bWt8bty4MUOGDHmsceWXt7c3M2bMeNJhiIiIiIiIiIiI5KCksPztQkJCMJlMmEwmbGxs8PHxYdy4cdy4cSNP82fOnElkZOTjDVJEREREREREROQ/SuUj5IkIDg4mIiKC9PR0Nm/ezMCBA7G2tsbDw+O+c11dXf+GCEVERERERERERP6bdFJYnghbW1vc3d0pVaoU/fv3p1mzZmzcuNHoj4qKwt/fHycnJ4KDg0lOTjb67iwfcac///yTHj16ULhwYRwcHGjevDnx8fFG/9mzZ2ndujWFCxfG0dGRihUrsnnzZqN/586d1KpVC1tbWzw8PHjrrbfMTjE3btyYQYMGMWjQIFxdXSlWrBijRo0iOzvbLI6rV6/Su3dvnJ2d8fLy4pNPPjH6mjZtyqBBg8zG//bbb9jY2LB9+/a8P0gREREREREREZF8UlJY/hHs7e25fv06cDOZOm3aNJYuXcquXbtISkpi6NCheV4rJCSEAwcOsHHjRvbs2UN2djYtWrQgIyMDgIEDB5Kens6uXbs4evQoU6ZMwcnJCYCffvqJFi1aULNmTQ4fPsy8efNYuHAhEyZMMNtj8eLFWFlZsW/fPmbOnMn777/PggULzMZMnz6dwMBAvv/+ewYMGED//v05ceIEAKGhoaxYsYL09HRj/LJlyyhZsiRNmza9572lp6eTmppqdomIiIiIiIiIiOSHksLyRGVnZ/PVV18RFRVlJEMzMjL46KOPCAwMpHr16gwaNCjPp2fj4+PZuHEjCxYsoEGDBlSpUoXly5fz008/sWHDBgCSkpKoV68eAQEBlClThlatWtGwYUMA5s6di6enJ3PmzKF8+fK0bduWsWPHMn36dLKysox9PD09+eCDD/Dz86Nr164MHjyYDz74wCyWFi1aMGDAAHx8fBg+fDjFihVjx44dALRv3x6Azz//3BgfGRlp1Fu+l0mTJuHq6mpcnp6eeXouIiIiIiIiIiIitygpLE/Epk2bcHJyws7OjubNm9OpUyfCw8MBcHBwoGzZssZYDw8PLly4kKd14+LisLKyonbt2kZb0aJF8fPzIy4uDoCwsDAmTJhAvXr1GDNmDEeOHDGbX6dOHbPEbL169UhLS+P8+fNG2zPPPGM2pk6dOsTHx5OZmWm0Va5c2fjZZDLh7u5u3IednR3du3dn0aJFABw6dIhjx44REhKS6/2NGDGClJQU4zp37lyenouIiIiIiIiIiMgtSgrLE9GkSRNiY2OJj4/nr7/+YvHixTg6OgJgbW1tNtZkMuWo1/swQkNDOX36NN27d+fo0aMEBgYye/bsR7b+LXe7j9tPG4eGhrJt2zbOnz9PREQETZs2pVSpUrmuaWtri4uLi9klIiIiIiIiIiKSH0oKyxPh6OiIj48PXl5eWFlZPbJ1/f39uXHjBnv37jXaLl68yIkTJ6hQoYLR5unpSb9+/Vi3bh1vvPEG8+fPN+bfqkN8S0xMDM7Ozjz99NNG2+3rA3z33XeUK1cOS0vLPMcaEBBAYGAg8+fPZ8WKFfTu3Tvf9ysiIiIiIiIiIpJfSgrLf0q5cuVo06YNffv2Zffu3Rw+fJhu3bpRsmRJ2rRpA8CQIUOIiorizJkzHDp0iB07duDv7w/AgAEDOHfuHIMHD+bHH3/k888/Z8yYMbz++utYWPy//1ySkpJ4/fXXOXHiBCtXrmT27Nm8+uqr+Y43NDSUyZMnk52dTbt27R7NQxAREREREREREcmFksLynxMREUGNGjVo1aoVderUITs7m82bNxvlHDIzMxk4cCD+/v4EBwfj6+vL3LlzAShZsiSbN29m3759VKlShX79+tGnTx/eeecdsz169OjBX3/9Ra1atRg4cCCvvvoqL7/8cr5j7dy5M1ZWVnTu3Bk7O7uHv3kREREREREREZH7MGU/ymKtIgVA48aNqVq1KjNmzHjotRITEylbtiz79++nevXq+Z6fmpqKq6srKSkpqi8sIiIiIiIiIlKA5SdP9OiKuYpInmVkZHDx4kXeeecdnnnmmQdKCIuIiIiIiIiIiDwIlY8QeQJiYmLw8PBg//79fPTRR086HBERERERERERKUBUPkLkX+zWnwV4DlmNha3DY9kjcXLLx7KuiIiIiIiIiIg8OvkpH6GTwnJPjRs3ZsiQIU86jH9MHCIiIiIiIiIiIv8FBTIpHBISgslkYvLkyWbtGzZswGQy5WutgpywjIyMxGQy5bjs7Owe6T7r1q1j/Pjxj3TNf5rIyEgKFSr0pMMQEREREREREZECoEAmhQHs7OyYMmUKf/7555MOBYDr168/6RAeiIuLC8nJyWbX2bNnH+keRYoUwdnZ+Z79/9ZnJyIiIiIiIiIi8iQU2KRws2bNcHd3Z9KkSfccc/HiRTp37kzJkiVxcHAgICCAlStXGv0hISHs3LmTmTNnGqdkExMT73rq885TyOHh4VStWpUFCxZQunRp43TtpUuXCA0Nxc3NDRcXF5o2bcrhw4dzvZfhw4fj6+uLg4MDZcqUYdSoUWRkZOTYa+nSpXh7e+Pq6spLL73E5cuXjTFXrlyhR48eODk54eHhwfTp0/P0HE0mE+7u7mZX8eLFjf7GjRsTFhbGsGHDKFKkCO7u7oSHhxv9Xbp0oVOnTmZrZmRkUKxYMZYsWWKscftpbG9vb8aPH0+PHj1wcXHh5ZdfBmDt2rVUrFgRW1tbvL29c9yDt7c3EydOpHfv3jg7O+Pl5cUnn3xi9CcmJmIymVi9ejUNGjTA3t6emjVrcvLkSfbv309gYCBOTk40b96c3377zWztBQsW4O/vj52dHeXLl2fu3Lk51l23bh1NmjTBwcGBKlWqsGfPHgCio6Pp1asXKSkpxu/R7c9IRERERERERETkUSqwSWFLS0smTpzI7NmzOX/+/F3HXLt2jRo1avDFF19w7NgxXn75Zbp3786+ffsAmDlzJnXq1KFv377GKVlPT888x3Dq1CnWrl3LunXriI2NBeDFF1/kwoULfPnllxw8eJDq1avz7LPP8scff9xzHWdnZyIjIzl+/DgzZ85k/vz5fPDBB2ZjEhIS2LBhA5s2bWLTpk3s3LnTrHzGm2++yc6dO/n888/ZunUr0dHRHDp0KM/3kpvFixfj6OjI3r17ee+99xg3bhzbtm0DoGvXrvzf//0faWlpxvioqCiuXr1Ku3bt7rnmtGnTqFKlCt9//z2jRo3i4MGDdOzYkZdeeomjR48SHh7OqFGjiIyMNJs3ffp0AgMD+f777xkwYAD9+/fnxIkTZmPGjBnDO++8w6FDh7CysqJLly4MGzaMmTNn8s0333Dq1ClGjx5tjF++fDmjR4/m3XffJS4ujokTJzJq1CgWL15stu7IkSMZOnQosbGx+Pr60rlzZ27cuEHdunWZMWOG2anroUOH3vW+09PTSU1NNbtERERERERERETyw+pJB/AktWvXjqpVqzJmzBgWLlyYo79kyZJmybnBgwcTFRXF6tWrqVWrFq6urtjY2ODg4IC7u3u+979+/TpLlizBzc0NgN27d7Nv3z4uXLiAra0tcDP5uWHDBj777DPjROyd3nnnHeNnb29vhg4dyqpVqxg2bJjRnpWVRWRkpFGGoXv37mzfvp13332XtLQ0Fi5cyLJly3j22WeBm4ncp59++r73kJKSgpOTk1lbgwYN+PLLL43PlStXZsyYMQCUK1eOOXPmsH37dp577jmCgoJwdHRk/fr1dO/eHYAVK1bwv//9L9eSEU2bNuWNN94wPnft2pVnn32WUaNGAeDr68vx48eZOnUqISEhxrgWLVowYMAA4OYJ6w8++IAdO3bg5+dnjBk6dChBQUEAvPrqq3Tu3Jnt27dTr149APr06WOWbB4zZgzTp0+nffv2AJQuXZrjx4/z8ccf07NnT7N1W7ZsCcDYsWOpWLEip06donz58ri6uhqnrnMzadIkxo4dm+sYERERERERERGR3BTopDDAlClTaNq06V1PZmZmZjJx4kRWr17NTz/9xPXr10lPT8fBweGR7F2qVCkjIQxw+PBh0tLSKFq0qNm4v/76i4SEhHuu8+mnnzJr1iwSEhJIS0vjxo0buLi4mI3x9vY2S7J6eHhw4cIF4OYp4uvXr1O7dm2jv0iRImaJ0ntxdnbOcaLY3t7e7HPlypXNPt++t5WVFR07dmT58uV0796dK1eu8Pnnn7Nq1apc9w0MDDT7HBcXR5s2bcza6tWrx4wZM8jMzMTS0jJHLLeSsLdiuVu8t0phBAQEmLXdmnPlyhUSEhLo06cPffv2NcbcuHEDV1fXe67r4eEBwIULFyhfvnyu93q7ESNG8PrrrxufU1NT83U6XUREREREREREpMAnhRs2bEhQUBAjRowwO1EKMHXqVGbOnMmMGTMICAjA0dGRIUOG3PfFZhYWFmRnZ5u13V7j9xZHR0ezz2lpaXh4eBAdHZ1j7J01im/Zs2cPXbt2ZezYsQQFBeHq6sqqVaty1NO1trY2+2wymcjKysr1PvLCwsICHx+fXMfcb++uXbvSqFEjLly4wLZt27C3tyc4ODjXNe98dnmVl+dw+5hbdaDvbLs151bZi/nz55sl1QEjEZ3buvn9DmxtbY1T5CIiIiIiIiIiIg+iwCeFASZPnkzVqlVznIyNiYmhTZs2dOvWDbiZwDt58iQVKlQwxtjY2JCZmWk2z83NjcuXL3PlyhUjeXmrZnBuqlevzi+//IKVlRXe3t55iv3bb7+lVKlSjBw50mg7e/ZsnubeUrZsWaytrdm7dy9eXl4A/Pnnn5w8eZJGjRrla60HUbduXTw9Pfn000/58ssvefHFF3Mkb+/H39+fmJgYs7aYmBh8fX1zJGcfpeLFi1OiRAlOnz5N165dH3idu/0eiYiIiIiIiIiIPA5KCnOzNEDXrl2ZNWuWWXu5cuX47LPP+PbbbylcuDDvv/8+v/76q1lS2Nvbm71795KYmIiTkxNFihShdu3aODg48PbbbxMWFsbevXtzvPDsbpo1a0adOnVo27Yt7733Hr6+vvz888988cUXtGvXLkfJhFsxJiUlsWrVKmrWrMkXX3zB+vXr83X/Tk5O9OnThzfffJOiRYvy1FNPMXLkSCws7v8ewuzsbH755Zcc7U899VSe5t/SpUsXPvroI06ePMmOHTvyFT/AG2+8Qc2aNRk/fjydOnViz549zJkzh7lz5+Z7rfwaO3YsYWFhuLq6EhwcTHp6OgcOHODPP/80K/WQG29vb9LS0ti+fTtVqlTBwcHhkZUpERERERERERERuV3es3b/cePGjcvxp/zvvPMO1atXJygoiMaNG+Pu7k7btm3NxgwdOhRLS0sqVKiAm5sbSUlJFClShGXLlrF582YCAgJYuXIl4eHh943BZDKxefNmGjZsSK9evfD19eWll17i7NmzRm3bO/3vf//jtddeY9CgQVStWpVvv/3WeNlafkydOpUGDRrQunVrmjVrRv369alRo8Z956WmpuLh4ZHjurNO7/107dqV48ePU7JkSeOFbvlRvXp1Vq9ezapVq6hUqRKjR49m3LhxOUqCPA6hoaEsWLCAiIgIAgICaNSoEZGRkZQuXTrPa9StW5d+/frRqVMn3NzceO+99x5jxCIiIiIiIiIiUpCZsu8sfisi/xqpqam4urqSkpKS4+WCIiIiIiIiIiJScOQnT6STwiIiIiIiIiIiIiIFiGoKi/wHVBoThYXt461BnDi55WNdX0RERERERERE/h46KSwAJCYmYjKZiI2NfdKhPDBvb29mzJjxpMMw07hxY4YMGWJ8/ifGKCIiIiIiIiIiBYuSwo9JSEgIJpMJk8mEjY0NPj4+jBs3jhs3bjzp0AgJCcnxwjxPT0+Sk5OpVKnSkwnqbxAeHm58J7dfX3311WPbc926dYwfP/6xrS8iIiIiIiIiIpJfKh/xGAUHBxMREUF6ejqbN29m4MCBWFtbM2LEiHyvlZmZiclkwsLi8eTxLS0tcXd3fyxr/5NUrFgxRxK4SJEij22/x7m2iIiIiIiIiIjIg9BJ4cfI1tYWd3d3SpUqRf/+/WnWrBkbN24E4P333ycgIABHR0c8PT0ZMGAAaWlpxtzIyEgKFSrExo0bqVChAra2tiQlJZGens7QoUMpWbIkjo6O1K5dm+jo6BzzoqKi8Pf3x8nJieDgYJKTk4Gbp2UXL17M559/bpyUjY6OzlE+Ijo6GpPJxPbt2wkMDMTBwYG6dety4sQJs3ucMGECTz31FM7OzoSGhvLWW29RtWrVez6TzMxM+vTpQ+nSpbG3t8fPz4+ZM2eajbl1knnatGl4eHhQtGhRBg4cSEZGhjHmwoULtG7dGnt7e0qXLs3y5cvz9J1YWVnh7u5udtnY2LB06VICAwNxdnbG3d2dLl26cOHCBWPerecRFRVFtWrVsLe3p2nTply4cIEvv/wSf39/XFxc6NKlC1evXjXm3Vk+4na9e/emVatWZm0ZGRk89dRTLFy4ME/3IyIiIiIiIiIikl9KCv+N7O3tuX79OgAWFhbMmjWLH374gcWLF/P1118zbNgws/FXr15lypQpLFiwgB9++IGnnnqKQYMGsWfPHlatWsWRI0d48cUXCQ4OJj4+3mzetGnTWLp0Kbt27SIpKYmhQ4cCMHToUDp27GgkipOTk6lbt+49Yx45ciTTp0/nwIEDWFlZ0bt3b6Nv+fLlvPvuu0yZMoWDBw/i5eXFvHnzcn0GWVlZPP3006xZs4bjx48zevRo3n77bVavXm02bseOHSQkJLBjxw4WL15MZGQkkZGRRn9ISAjnzp1jx44dfPbZZ8ydO9csiZtfGRkZjB8/nsOHD7NhwwYSExMJCQnJMS48PJw5c+bw7bffcu7cOTp27MiMGTNYsWIFX3zxBVu3bmX27Nl52jM0NJQtW7YYCXuATZs2cfXqVTp16nTXOenp6aSmpppdIiIiIiIiIiIi+aHyEX+D7Oxstm/fTlRUFIMHDwbI8fKxCRMm0K9fP+bOnWu0Z2RkMHfuXKpUqQJAUlISERERJCUlUaJECeBmknfLli1EREQwceJEY95HH31E2bJlARg0aBDjxo0DwMnJCXt7e9LT0/NULuLdd9+lUaNGALz11lu0bNmSa9euYWdnx+zZs+nTpw+9evUCYPTo0WzdutXsxPOdrK2tGTt2rPG5dOnS7Nmzh9WrV9OxY0ejvXDhwsyZMwdLS0vKly9Py5Yt2b59O3379uXkyZN8+eWX7Nu3j5o1awKwcOFC/P3973s/R48excnJyfhcoUIF9u3bZ5bsLlOmDLNmzaJmzZqkpaWZjZ8wYQL16tUDoE+fPowYMYKEhATKlCkDwAsvvMCOHTsYPnz4fWOpW7cufn5+LF261PgHgYiICF588UWzPW83adIks+cnIiIiIiIiIiKSXzop/Bht2rQJJycn7OzsaN68OZ06dSI8PByAr776imeffZaSJUvi7OxM9+7duXjxolnpARsbGypXrmx8Pnr0KJmZmfj6+uLk5GRcO3fuJCEhwRjn4OBgJIQBPDw8HvgU7e37e3h4ABhrnThxglq1apmNv/Pz3Xz44YfUqFEDNzc3nJyc+OSTT0hKSjIbU7FiRSwtLe96D3FxcVhZWVGjRg2jv3z58hQqVOi+e/v5+REbG2tca9euBeDgwYO0bt0aLy8vnJ2djUT4nXHd/jyKFy+Og4ODkRC+1ZafZx0aGkpERAQAv/76K19++aVZgvpOI0aMICUlxbjOnTuX571ERERERERERERAJ4UfqyZNmjBv3jxsbGwoUaIEVlY3H3diYiKtWrWif//+vPvuuxQpUoTdu3fTp08frl+/joODA3Cz3ITJZDLWS0tLw9LSkoMHD5olTAGzk6XW1tZmfSaTiezs7Ae6h9vXuhVLVlbWA60FsGrVKoYOHcr06dOpU6cOzs7OTJ06lb17995z31t7P8y+t9jY2ODj42PWduXKFYKCgggKCmL58uW4ubmRlJREUFCQUe7jbnGZTKaHjrNHjx7/H3t3H5fz/f///3Ykjs5UtCgWIaVE1nI+53zK2Zy9nc0QsmFm5ryZkfOzzDBjhszJNpsNc35uE0NNTpNEY2+Zjal3bIn6/eHr+O1QUY013K+Xy+ty6Xi+nieP5+vIP4+eHi9GjRrFgQMH2L9/P+XKlaNevXo59jcajRiNxlzPLyIiIiIiIiIicj8lhR8jW1vbLAlIuHsqNSMjg/DwcCws7h7Wvr+mbnZeeOEF7ty5w5UrVx6YOHyYIkWKcOfOnXyPv8fLy4vDhw/To0cPU9vhw4cfOCYyMpI6deowYMAAU9tfTznnRqVKlbh9+zbR0dGm8hFxcXFcv349T/Pcc/r0aa5evcrUqVNxc3MDICoqKl9z5ZWTkxNt27Zl6dKlHDhwwFSKQ0RERERERERE5HFR+YgC4OHhQXp6OnPnzuXcuXMsX76cBQsWPHScp6cn3bp1o0ePHnz99decP3+eQ4cOMWXKFDZu3Jjr9d3d3Tl27BhxcXH89ttvpKen52sfb775JosXL2bZsmXEx8czceJEjh07Zna6+X4VK1YkKiqKrVu3cubMGcaMGfPQRPL9vLy8CAoK4vXXX+fgwYNER0cTEhKCtbV1vvZRpkwZihQpYvo+1q9fz4QJE/I1V36EhISwbNkyYmNj6dmz5z+2roiIiIiIiIiIPJuUFC4Afn5+zJo1i2nTpuHr68vKlSuZMmVKrsYuXbqUHj16MHToULy8vGjbti2HDx+mTJkyuV6/b9++eHl5ERAQgLOzM5GRkfnaR7du3QgNDWXYsGH4+/tz/vx5goODsbKyynHM66+/Tvv27encuTM1a9bk6tWrZqeGc2vp0qWUKlWKBg0a0L59e1577TVKlCiRr304OzsTERHBl19+iY+PD1OnTmXmzJn5mis/mjZtiqurK4GBgaYXCIqIiIiIiIiIiDwuhsz8FpsVyUazZs1wcXFh+fLlBR3KEyM1NZXSpUuzdOlS2rdvn6exKSkpODg4kJycjL29/WOKUERERERERERE/u3ykidSTWHJt5s3b7JgwQICAwMpVKgQn332GTt27GD79u0FHdoTISMjg99++43w8HAcHR15+eWXCzokERERERERERF5BigpLPlmMBjYtGkTkyZN4s8//8TLy4s1a9bQtGnTgg7tiXDhwgXKlSvH888/T0REBJaW+ucoIiIiIiIiIiKPn8pHiDzB7v23ALfBq7Ew2jzWtRKntnys84uIiIiIiIiISP7lpXyEXjQnZvbs2YPBYOD69es59hk3bhzVqlX7x2J61IKDg2nbtm2BrO3u7s7s2bMLZG0RERERERERERFQUviJFRwcjMFgyHKdPXv2sa89bNgwdu7c+djXKUiLFi3Cz88POzs7HB0deeGFF5gyZYrpfkEmlkVERERERERERP4OFTF9ggUFBbF06VKzNmdn58e+rp2dHXZ2do99nYKyZMkSBg8ezJw5c2jQoAFpaWkcO3aMEydOFHRoIiIiIiIiIiIif5tOCj/BjEYjLi4uZlehQoWYNWsWVapUwdbWFjc3NwYMGEBqaqpp3E8//UTr1q0pVqwYtra2VK5cmU2bNpnNHR0dTUBAADY2NtSpU4e4uDjTvfvLR2RkZDB+/Hief/55jEYj1apVY8uWLab7iYmJGAwGvv76axo1aoSNjQ1+fn4cOHDggft72D4iIiJwdHRk69ateHt7Y2dnR1BQEElJSaY+d+7cYciQITg6OuLk5MSIESN4WBnt9evX06lTJ/r06YOHhweVK1ema9euTJo0ybT/ZcuWsW7dOtMJ7T179tC4cWMGDhxoNtevv/5KkSJFcjxZff36dUJCQnB2dsbe3p7GjRtz9OjRB8YnIiIiIiIiIiLydygp/BSysLBgzpw5nDx5kmXLlrFr1y5GjBhhuv/GG2+QlpbGd999x/Hjx5k2bVqWk7+jR48mPDycqKgoLC0t6d27d47rffDBB4SHhzNz5kyOHTtGYGAgL7/8MvHx8VnmHDZsGDExMXh6etK1a1du376d730A3Lx5k5kzZ7J8+XK+++47Lly4wLBhw0z3w8PDiYiIYMmSJezbt49r167xzTffPPD5ubi48MMPP/DTTz9le3/YsGF06tTJlIBOSkqiTp06hISEsGrVKtLS0kx9V6xYQenSpWncuHG2c3Xs2JErV66wefNmoqOj8ff3p0mTJly7di3b/mlpaaSkpJhdIiIiIiIiIiIieaGk8BNsw4YNplIOdnZ2dOzYEYDBgwfTqFEj3N3dady4MRMnTmT16tWmcRcuXKBu3bpUqVKF8uXL06pVK+rXr28296RJk2jQoAE+Pj6MGjWK/fv38+eff2Ybx8yZMxk5ciRdunTBy8uLadOmUa1atSwvVBs2bBgtW7bE09OTsLAwfvrppwfWQH7YPgDS09NZsGABAQEB+Pv7M3DgQLNTubNnzyY0NJT27dvj7e3NggULcHBweOBzHTt2LI6Ojri7u+Pl5UVwcDCrV68mIyMDuFs+w9ra2uykdpEiRWjfvj0A69atM80VERFhqv98v3379nHo0CG+/PJLAgICqFixIjNnzsTR0ZGvvvoq29imTJmCg4OD6XJzc3vgXkRERERERERERO6npPATrFGjRsTExJiuOXPmALBjxw6aNGlC6dKlKVq0KN27d+fq1avcvHkTgEGDBjFx4kTq1q3L2LFjOXbsWJa5q1atavrZ1dUVgCtXrmTpl5KSwqVLl6hbt65Ze926dYmNjc3XnPc8bB8ANjY2VKhQwWzee3MmJyeTlJREzZo1TfctLS0JCAjIcc17cxw4cIDjx4/z1ltvcfv2bXr27ElQUJApMZwdKysrunfvzpIlSwD48ccfOXHiBMHBwdn2P3r0KKmpqTg5OZkl98+fP09CQkK2Y0JDQ0lOTjZdFy9efOBeRERERERERERE7qek8BPM1tYWDw8P0+Xq6kpiYiKtWrWiatWqrFmzhujoaD788EMAbt26BUBISAjnzp2je/fuHD9+nICAAObOnWs2d+HChU0/3zvl+qCEaG7kZc7c7OP+Oe/N+7Cawbnl6+vLgAEDWLFiBdu3b2f79u3s3bv3gWNCQkLYvn07P//8M0uXLqVx48aULVs2276pqam4urqaJfZjYmKIi4tj+PDh2Y4xGo3Y29ubXSIiIiIiIiIiInmhpPBTJjo6moyMDMLDw6lVqxaenp5cunQpSz83Nzf69evH119/zdChQ1m0aFG+1rO3t6dUqVJERkaatUdGRuLj45OvOSH3+3gQBwcHXF1dOXjwoKnt9u3bREdH5zmee3u5ceMGAEWKFOHOnTtZ+lWpUoWAgAAWLVrEqlWrHliL2d/fn8uXL2NpaWmW3Pfw8OC5557Lc4wiIiIiIiIiIiK5YVnQAcij5eHhQXp6OnPnzqV169ZERkayYMECsz6DBw+mefPmeHp68vvvv7N79268vb3zvebw4cMZO3YsFSpUoFq1aixdupSYmBhWrlz5WPeRG2+99RZTp06lYsWKVKpUiVmzZnH9+vUHjunfvz+lSpWicePGPP/88yQlJTFx4kScnZ2pXbs2AO7u7mzdupW4uDicnJxwcHAwnVoOCQlh4MCB2Nra0q5duxzXadq0KbVr16Zt27ZMnz7dlPjeuHEj7dq1e2iZCxERERERERERkfzQSeGnjJ+fH7NmzWLatGn4+vqycuVKpkyZYtbnzp07vPHGG3h7exMUFISnpyfz58/P95qDBg1iyJAhDB06lCpVqrBlyxbWr19PxYoVH+s+cmPo0KF0796dnj17Urt2bYoWLfrARC3cTdb+8MMPdOzYEU9PTzp06ICVlRU7d+7EyckJgL59++Ll5UVAQADOzs5mJ6W7du2KpaUlXbt2xcrKKsd1DAYDmzZton79+vTq1QtPT0+6dOnCTz/9RMmSJfO8VxERERERERERkdwwZD6qAqwiAtyth1yhQgUOHz6Mv7//Y10rJSUFBwcHkpOTVV9YREREREREROQZlpc8kcpHiDwi6enpXL16lXfffZdatWo99oSwiIiIiIiIiIhIfqh8hMgjEhkZiaurK4cPH85X/WMREREREREREZF/gk4KizwiDRs2pKCqsfiO3YqF0eaxr5M4teVjX0NERERERERERB4vnRSWB9qzZw8Gg4Hr16//42sHBwfTtm3bf3zd7DwslnHjxlGtWrV/LB4REREREREREZH8UlL4CRIcHIzBYMhynT17tqBDKzCZmZl8/PHH1KxZEzs7OxwdHQkICGD27NncvHnzH4tj2LBh7Ny58x9bT0REREREREREJL+UFH7CBAUFkZSUZHaVK1euoMMqMN27d2fw4MG0adOG3bt3ExMTw5gxY1i3bh3btm37x+Kws7PDycnpH1tPREREREREREQkv5QUfsIYjUZcXFzMrkKFCgGwd+9eatSogdFoxNXVlVGjRnH79m3T2LS0NAYNGkSJEiWwsrLipZde4vDhw2bzb9q0CU9PT6ytrWnUqBGJiYkPjWnWrFlUqVIFW1tb3NzcGDBgAKmpqab7ERERODo6snXrVry9vbGzszMlt++5c+cOQ4YMwdHREScnJ0aMGPHQ+ryrV69m5cqVfPbZZ7zzzjtUr14dd3d32rRpw65du2jUqBEAGRkZjB8/nueffx6j0Ui1atXYsmWL2VzHjx+ncePGWFtb4+TkxGuvvWa2h/sdPnwYZ2dnpk2bBmQtH3Gv3MTMmTNxdXXFycmJN954g/T0dFOfpKQkWrZsibW1NeXKlWPVqlW4u7sze/bshz5zERERERERERGR/FJS+Cnx3//+lxYtWlC9enWOHj3KRx99xOLFi5k4caKpz4gRI1izZg3Lli3jxx9/xMPDg8DAQK5duwbAxYsXad++Pa1btyYmJoaQkBBGjRr10LUtLCyYM2cOJ0+eZNmyZezatYsRI0aY9bl58yYzZ85k+fLlfPfdd1y4cIFhw4aZ7oeHhxMREcGSJUvYt28f165d45tvvnnguitXrsTLy4s2bdpkuWcwGHBwcADggw8+IDw8nJkzZ3Ls2DECAwN5+eWXiY+PB+DGjRsEBgZSrFgxDh8+zJdffsmOHTsYOHBgtuvu2rWLZs2aMWnSJEaOHJljfLt37yYhIYHdu3ezbNkyIiIiiIiIMN3v0aMHly5dYs+ePaxZs4aPP/6YK1euPHDPaWlppKSkmF0iIiIiIiIiIiJ5oaTwE2bDhg3Y2dmZro4dOwIwf/583NzcmDdvHpUqVaJt27aEhYURHh5ORkYGN27c4KOPPmLGjBk0b94cHx8fFi1ahLW1NYsXLwbgo48+okKFCoSHh+Pl5UW3bt0IDg5+aEyDBw+mUaNGuLu707hxYyZOnMjq1avN+qSnp7NgwQICAgLw9/dn4MCBZjV4Z8+eTWhoKO3bt8fb25sFCxaYkro5iY+Px8vL66HxzZw5k5EjR9KlSxe8vLyYNm0a1apVM53IXbVqFX/++Seffvopvr6+NG7cmHnz5rF8+XJ++eUXs7m++eYb2rRpw8KFC3nttdceuG6xYsVM30erVq1o2bKlac+nT59mx44dLFq0iJo1a+Lv788nn3zCH3/88cA5p0yZgoODg+lyc3N76P5FRERERERERET+yrKgA5C8adSoER999JHps62tLQCxsbHUrl0bg8Fgule3bl1SU1P5+eefuX79Ounp6dStW9d0v3DhwtSoUYPY2FjTHDVr1jRbr3bt2g+NaceOHUyZMoXTp0+TkpLC7du3+fPPP7l58yY2NjYA2NjYUKFCBdMYV1dX06nY5ORkkpKSzNa2tLQkICDggSUkHlZeAiAlJYVLly6Z7RvuPpujR48Cd/ft5+dnepb37mdkZBAXF0fJkiUBOHjwIBs2bOCrr76ibdu2D127cuXKptIe9/Z8/PhxAOLi4rC0tMTf399038PDg2LFij1wztDQUIYMGWK2PyWGRUREREREREQkL3RS+Alja2uLh4eH6XJ1dS3QeBITE2nVqhVVq1ZlzZo1REdH8+GHHwJw69YtU7/ChQubjTMYDLlK6j6Ip6cnp0+f/ltz5EWFChWoVKkSS5YsMasNnJPs9pyRkfG3YjAajdjb25tdIiIiIiIiIiIieaGk8FPC29ubAwcOmCVaIyMjKVq0KM8//zwVKlSgSJEiREZGmu6np6dz+PBhfHx8THMcOnTIbN4ffvjhgetGR0eTkZFBeHg4tWrVwtPTk0uXLuUpdgcHB1xdXTl48KCp7fbt20RHRz9w3CuvvMKZM2dYt25dlnuZmZkkJydjb29PqVKlzPYNd5/NX/d99OhRbty4YXbfwsLCrDzFc889x65duzh79iydOnXKVWI4J15eXty+fZsjR46Y2s6ePcvvv/+e7zlFRERERERERERyQ0nhp8SAAQO4ePEib775JqdPn2bdunWMHTuWIUOGYGFhga2tLf3792f48OFs2bKFU6dO0bdvX27evEmfPn0A6NevH/Hx8QwfPpy4uDhWrVpl9mK07Hh4eJCens7cuXM5d+4cy5cvZ8GCBXmO/6233mLq1KmsXbuW06dPM2DAAK5fv/7AMZ06daJz58507dqVyZMnExUVxU8//cSGDRto2rQpu3fvBmD48OFMmzaNL774gri4OEaNGkVMTAxvvfUWAN26dcPKyoqePXty4sQJdu/ezZtvvkn37t1NpSPuKVGiBLt27eL06dN07dqV27dv53mvAJUqVaJp06a89tprHDp0iCNHjvDaa69hbW1tVgJERERERERERETkUVNN4adE6dKl2bRpE8OHD8fPz4/ixYvTp08f3n33XVOfqVOnkpGRQffu3fnf//5HQEAAW7duNdWxLVOmDGvWrOHtt99m7ty51KhRg8mTJ9O7d+8c1/Xz82PWrFlMmzaN0NBQ6tevz5QpU+jRo0ee4h86dChJSUn07NkTCwsLevfuTbt27UhOTs5xjMFgYNWqVXz88ccsWbKESZMmYWlpScWKFenRoweBgYEADBo0iOTkZIYOHcqVK1fw8fFh/fr1VKxYEbhb73jr1q289dZbVK9eHRsbGzp06MCsWbOyXdfFxYVdu3bRsGFDunXrxqpVq/K013s+/fRT+vTpQ/369XFxcWHKlCmcPHkSKyurPM91IixQpSRERERERERERCRXDJl/t7CriDwSP//8M25ubuzYsYMmTZrkakxKSgoODg6mUhkiIiIiIiIiIvJsykueSCeFRQrIrl27SE1NpUqVKiQlJTFixAjc3d2pX79+QYcmIiIiIiIiIiJPMSWFRQpIeno677zzDufOnaNo0aLUqVOHlStXUrhw4TzP5Tt2KxZGm8cQZVaJU1v+I+uIiIiIiIiIiMjjoaSwSAEJDAw01T0WERERERERERH5p1gUdAAij0pwcDAGgyHLdfbs2Ucyd9u2bf9+kCIiIiIiIiIiIgVMJ4XlqRIUFMTSpUvN2pydnQsoGhERERERERERkX8fnRSWp4rRaMTFxcXs+uCDD6hSpQq2tra4ubkxYMAAUlNTTWMiIiJwdHRk69ateHt7Y2dnR1BQEElJSQCMGzeOZcuWsW7dOtPp4z179gAwcuRIPD09sbGxoXz58owZM4b09HTT3EePHqVRo0YULVoUe3t7XnzxRaKiorhx4wb29vZ89dVXZvGvXbsWW1tb/ve//z3+hyUiIiIiIiIiIs8kJYXlqWdhYcGcOXM4efIky5YtY9euXYwYMcKsz82bN5k5cybLly/nu+++48KFCwwbNgyAYcOG0alTJ1OiOCkpiTp16gBQtGhRIiIiOHXqFB988AGLFi3i/fffN83brVs3nn/+eQ4fPkx0dDSjRo2icOHC2Nra0qVLlyynmpcuXcp//vMfihYtmu1e0tLSSElJMbtERERERERERETyQuUj5KmyYcMG7OzsTJ+bN2/Ol19+afrs7u7OxIkT6devH/Pnzze1p6ens2DBAipUqADAwIEDGT9+PAB2dnZYW1uTlpaGi4uL2Xrvvvuu2dzDhg3j888/NyWdL1y4wPDhw6lUqRIAFStWNPUPCQmhTp06JCUl4erqypUrV9i0aRM7duzIcX9TpkwhLCwsz89FRERERERERETkHp0UlqdKo0aNiImJMV1z5sxhx44dNGnShNKlS1O0aFG6d+/O1atXuXnzpmmcjY2NKSEMmJK0D/PFF19Qt25dXFxcsLOz49133+XChQum+0OGDCEkJISmTZsydepUEhISTPdq1KhB5cqVWbZsGQArVqygbNmy1K9fP8f1QkNDSU5ONl0XL17M0/MRERERERERERFRUlieKra2tnh4eJiutLQ0WrVqRdWqVVmzZg3R0dF8+OGHANy6dcs0rnDhwmbzGAwGMjMzH7jWgQMH6NatGy1atGDDhg0cOXKE0aNHm807btw4Tp48ScuWLdm1axc+Pj588803pvshISFEREQAd0tH9OrVC4PBkOOaRqMRe3t7s0tERERERERERCQvlBSWp1p0dDQZGRmEh4dTq1YtPD09uXTpUp7nKVKkCHfu3DFr279/P2XLlmX06NEEBARQsWJFfvrppyxjPT09efvtt9m2bRvt27c3qyP86quv8tNPPzFnzhxOnTpFz549875JERERERERERGRPFBSWJ5qHh4epKenM3fuXM6dO8fy5ctZsGBBnudxd3fn2LFjxMXF8dtvv5Genk7FihW5cOECn3/+OQkJCcyZM8fsFPAff/zBwIED2bNnDz/99BORkZEcPnwYb29vU59ixYrRvn17hg8fzv/93//x/PPPP5J9i4iIiIiIiIiI5ERJYXmq+fn5MWvWLKZNm4avry8rV65kypQpeZ6nb9++eHl5ERAQgLOzM5GRkbz88su8/fbbDBw4kGrVqrF//37GjBljGlOoUCGuXr1Kjx498PT0pFOnTjRv3jzLi+L69OnDrVu36N2799/er4iIiIiIiIiIyMMYMh9WOFVEHqvly5fz9ttvc+nSJYoUKZKnsSkpKTg4OJCcnKz6wiIiIiIiIiIiz7C85Iks/6GYROQ+N2/eJCkpialTp/L666/nOSEsIiIiIiIiIiKSHyofIVJApk+fTqVKlXBxcSE0NLSgwxERERERERERkWeEykeIPMHu/bcAt8GrsTDa/KNrJ05t+Y+uJyIiIiIiIiIiOctL+QidFJZs7dmzB4PBwPXr1/M9R3BwMG3btn1kMT1JHsXzExEREREREREReRyUFP4HHDhwgEKFCtGyZe5PVo4bN45q1ao9vqAeAXd3dwwGAwaDAVtbW/z9/fnyyy8f6RoRERE4Ojo+0jlFRERERERERESeZUoK/wMWL17Mm2++yXfffcelS5ce2DczM5Pbt2//Q5H9fePHjycpKYkjR45QvXp1OnfuzP79+ws6rHy5detWQYcgIiIiIiIiIiLy2Ckp/JilpqbyxRdf0L9/f1q2bElERITZ/XtlBjZv3syLL76I0WhkxYoVhIWFcfToUdNJ3PvH3XP48GGaNWvGc889h4ODAw0aNODHH38062MwGPjkk09o164dNjY2VKxYkfXr15v12bRpE56enlhbW9OoUSMSExNztb+iRYvi4uKCp6cnH374IdbW1nz77bdmfWbOnImrqytOTk688cYbpKenm+79/vvv9OjRg2LFimFjY0Pz5s2Jj483PZtevXqRnJxseg7jxo176Lh7Fi1ahJubGzY2NrRr145Zs2aZnTq+dxr7k08+oVy5clhZWQGwZcsWXnrpJRwdHXFycqJVq1YkJCSYxiUmJmIwGPj888+pU6cOVlZW+Pr6snfv3izPJzo6moCAAGxsbKhTpw5xcXGmOSwsLIiKijLrP3v2bMqWLUtGRkaunr+IiIiIiIiIiEheKSn8mK1evZpKlSrh5eXFq6++ypIlS8ju3X6jRo1i6tSpxMbG0qxZM4YOHUrlypVJSkoiKSmJzp07Zzv///73P3r27Mm+ffv44YcfqFixIi1atOB///ufWb+wsDA6derEsWPHaNGiBd26dePatWsAXLx4kfbt29O6dWtiYmIICQlh1KhRed6rpaUlhQsXNjtxu3v3bhISEti9ezfLli0jIiLCLMEdHBxMVFQU69ev58CBA2RmZtKiRQvS09OpU6cOs2fPxt7e3vQchg0b9tBxAJGRkfTr14+33nqLmJgYmjVrxqRJk7LEfPbsWdasWcPXX39NTEwMADdu3GDIkCFERUWxc+dOLCwsaNeuXZZE7fDhwxk6dChHjhyhdu3atG7dmqtXr5r1GT16NOHh4URFRWFpaUnv3r2Bu6U3mjZtytKlS836L126lODgYCwssv+nmZaWRkpKitklIiIiIiIiIiKSF5YFHcDTbvHixbz66qsABAUFkZyczN69e2nYsKFZv/Hjx9OsWTPTZzs7OywtLXFxcXng/I0bNzb7/PHHH+Po6MjevXtp1aqVqT04OJiuXbsCMHnyZObMmcOhQ4cICgrio48+okKFCoSHhwPg5eXF8ePHmTZtWq73eevWLcLDw0lOTjaLqVixYsybN49ChQpRqVIlWrZsyc6dO+nbty/x8fGsX7+eyMhI6tSpA8DKlStxc3Nj7dq1dOzYEQcHBwwGg9lzyM24uXPn0rx5c1MS2dPTk/3797Nhw4YscX/66ac4Ozub2jp06GDWZ8mSJTg7O3Pq1Cl8fX1N7QMHDjT1/eijj9iyZQuLFy9mxIgRpj6TJk2iQYMGwN3Ef8uWLfnzzz+xsrIiJCSEfv36MWvWLIxGIz/++CPHjx9n3bp1OT7nKVOmEBYWlotvREREREREREREJHs6KfwYxcXFcejQIVMy1tLSks6dO7N48eIsfQMCAvK1xi+//ELfvn2pWLEiDg4O2Nvbk5qayoULF8z6Va1a1fSzra0t9vb2XLlyBYDY2Fhq1qxp1r927dq5Wn/kyJHY2dlhY2PDtGnTmDp1qtkL9SpXrkyhQoVMn11dXc3WtbS0NFvbyckJLy8vYmNjc1wzN+Pi4uKoUaOG2bj7PwOULVvWLCEMd5POXbt2pXz58tjb2+Pu7g6Q5Zn+9RlZWloSEBCQJe6/PndXV1cA0/7btm1LoUKF+Oabb4C7L9Vr1KiRab3shIaGkpycbLouXryYY18REREREREREZHs6KTwY7R48WJu375NqVKlTG2ZmZkYjUbmzZuHg4ODqd3W1jZfa/Ts2ZOrV6/ywQcfULZsWYxGI7Vr187y0rTChQubfTYYDI+kbu3w4cMJDg7Gzs6OkiVLYjAY/pF1H5Xsnnvr1q0pW7YsixYtolSpUmRkZODr65uvF9H9df/3ns29/RcpUoQePXqwdOlS2rdvz6pVq/jggw8eOJ/RaMRoNOY5DhERERERERERkXt0UvgxuX37Np9++inh4eHExMSYrqNHj1KqVCk+++yzB44vUqQId+7ceeg6kZGRDBo0iBYtWlC5cmWMRiO//fZbnmL19vbm0KFDZm0//PBDrsY+99xzeHh44OLikiUhnJt1b9++zcGDB01tV69eJS4uDh8fHyD755CbcV5eXhw+fNhs3P2fs3NvnnfffZcmTZrg7e3N77//nm3fvz6j27dvEx0djbe390PX+KuQkBB27NjB/PnzuX37Nu3bt8/TeBERERERERERkbxSUvgx2bBhA7///jt9+vTB19fX7OrQoUO2JST+yt3dnfPnzxMTE8Nvv/1GWlpatv0qVqzI8uXLiY2N5eDBg3Tr1g1ra+s8xdqvXz/i4+MZPnw4cXFxrFq1yuxlcI9LxYoVadOmDX379mXfvn0cPXqUV199ldKlS9OmTRvg7nNITU1l586d/Pbbb9y8eTNX49588002bdrErFmziI+PZ+HChWzevPmhietixYrh5OTExx9/zNmzZ9m1axdDhgzJtu+HH37IN998w+nTp3njjTf4/fffTS+Syy1vb29q1arFyJEj6dq1a56/OxERERERERERkbxSUvgxWbx4MU2bNjUrEXFPhw4diIqK4tixYzmO79ChA0FBQTRq1AhnZ+ccTxYvXryY33//HX9/f7p3786gQYMoUaJEnmItU6YMa9asYe3atfj5+bFgwQImT56cpznya+nSpbz44ou0atWK2rVrk5mZyaZNm0xlF+rUqUO/fv3o3Lkzzs7OTJ8+PVfj6taty4IFC5g1axZ+fn5s2bKFt99+GysrqwfGY2Fhweeff050dDS+vr68/fbbzJgxI9u+U6dOZerUqfj5+bFv3z7Wr1/Pc889l+dn0KdPH27dupXnhLKIiIiIiIiIiEh+GDIzMzMLOgiRf0Lfvn05ffo033///d+aJzExkXLlynHkyBGqVav2t+OaMGECX3755QP/SJCTlJQUHBwcSE5Oxt7e/m/HIiIiIiIiIiIiT6a85In0ojl5as2cOZNmzZpha2vL5s2bWbZsGfPnzy/osExSU1NJTExk3rx5TJw4saDDERERERERERGRZ4TKR8hT69ChQzRr1owqVaqwYMEC5syZQ0hISEGHZTJw4EBefPFFGjZsqNIRIiIiIiIiIiLyj1H5CJEn2L3/FuA2eDUWRpt/fP3EqS3/8TVFRERERERERCSrvJSP0ElhERERERERERERkWeIksLyTAkODqZt27ZZ2vfs2YPBYOD69ev/eEwiIiIiIiIiIiL/JCWFRR6BW7duZWm7c+cOGRkZeZ4rv+NERERERERERERyQ0lhkWysWbOGypUrYzQacXd3Jzw83Oy+u7s7EyZMoEePHtjb2/Paa68RERGBo6Mj69evx8fHB6PRyIULF/j999/p0aMHxYoVw8bGhubNmxMfH2+aK6dxIiIiIiIiIiIij4OSwiL3iY6OplOnTnTp0oXjx48zbtw4xowZQ0REhFm/mTNn4ufnx5EjRxgzZgwAN2/eZNq0aXzyySecPHmSEiVKEBwcTFRUFOvXr+fAgQNkZmbSokUL0tPTTXNlNy47aWlppKSkmF0iIiIiIiIiIiJ5YVnQAYj80zZs2ICdnZ1Z2507d0w/z5o1iyZNmpgSvZ6enpw6dYoZM2YQHBxs6te4cWOGDh1q+vz999+Tnp7O/Pnz8fPzAyA+Pp7169cTGRlJnTp1AFi5ciVubm6sXbuWjh07AmQZl5MpU6YQFhaW/82LiIiIiIiIiMgzTyeF5ZnTqFEjYmJizK5PPvnEdD82Npa6deuajalbty7x8fFmyeOAgIAscxcpUoSqVauazWVpaUnNmjVNbU5OTnh5eREbG5vjuJyEhoaSnJxsui5evJi7TYuIiIiIiIiIiPw/OikszxxbW1s8PDzM2n7++ed8zXM/a2trDAZDnufK7Tij0YjRaMzz/CIiIiIiIiIiIvfopLDIfby9vYmMjDRri4yMxNPTk0KFCuV5rtu3b3Pw4EFT29WrV4mLi8PHx+eRxCsiIiIiIiIiIpIXSgqL3Gfo0KHs3LmTCRMmcObMGZYtW8a8efMYNmxYnueqWLEibdq0oW/fvuzbt4+jR4/y6quvUrp0adq0afMYohcREREREREREXkwlY8QuY+/vz+rV6/mvffeY8KECbi6ujJ+/Hizl8zlxdKlS3nrrbdo1aoVt27don79+mzatInChQs/sphPhAVib2//yOYTEREREREREZGnlyEzMzOzoIMQkfxJSUnBwcGB5ORkJYVFRERERERERJ5heckTqXyEiIiIiIiIiIiIyDNE5SNEngK+Y7diYbQpkLUTp7YskHVFRERERERERCR/dFJYnhqRkZFUqVKFwoUL07Zt24IOR0RERERERERE5F9JSWH5VwgODsZgMGAwGChcuDDlypVjxIgR/Pnnn7meY8iQIVSrVo3z588TERHx+IIVERERERERERF5gql8hPxrBAUFsXTpUtLT04mOjqZnz54YDAamTZuWq/EJCQn069eP559/Pt8x3Lp1iyJFiuR7vIiIiIiIiIiIyL+dTgrLv4bRaMTFxQU3Nzfatm1L06ZN2b59OwAZGRlMmTKFcuXKYW1tjZ+fH1999RUAiYmJGAwGrl69Su/evTEYDKaTwidOnKB58+bY2dlRsmRJunfvzm+//WZas2HDhgwcOJDBgwfz3HPPERgYmOtxgwYNYsSIERQvXhwXFxfGjRtntp/r16/z+uuvU7JkSaysrPD19WXDhg2m+/v27aNevXpYW1vj5ubGoEGDuHHjxuN4tCIiIiIiIiIiIiZKCsu/0okTJ9i/f7/p1O6UKVP49NNPWbBgASdPnuTtt9/m1VdfZe/evbi5uZGUlIS9vT2zZ88mKSmJzp07c/36dRo3bswLL7xAVFQUW7Zs4ZdffqFTp05may1btowiRYoQGRnJggUL8jTO1taWgwcPMn36dMaPH2+WxG7evDmRkZGsWLGCU6dOMXXqVAoVKgTcPdUcFBREhw4dOHbsGF988QX79u1j4MCBD3wuaWlppKSkmF0iIiIiIiIiIiJ5YcjMzMws6CBEgoODWbFiBVZWVty+fZu0tDQsLCxYvXo1rVq1onjx4uzYsYPatWubxoSEhHDz5k1WrVoFgKOjI7NnzyY4OBiAiRMn8v3337N161bTmJ9//hk3Nzfi4uLw9PSkYcOGpKSk8OOPP5r65HbcnTt3+P777019atSoQePGjZk6dSrbtm2jefPmxMbG4unpmWW/ISEhFCpUiIULF5ra9u3bR4MGDbhx4wZWVlbZPqdx48YRFhaWpd1t8GosjDYPe8yPReLUlgWyroiIiIiIiIiI/P9SUlJwcHAgOTkZe3v7B/ZVTWH512jUqBEfffQRN27c4P3338fS0pIOHTpw8uRJbt68SbNmzcz637p1ixdeeCHH+Y4ePcru3buxs7PLci8hIcGUrH3xxRfzNa5q1apm91xdXbly5QoAMTExPP/889kmhO+tcezYMVauXGlqy8zMJCMjg/Pnz+Pt7Z3tuNDQUIYMGWL6nJKSgpubW7Z9RUREREREREREsqOksPxr2Nra4uHhAcCSJUvw8/Nj8eLF+Pr6ArBx40ZKly5tNsZoNOY4X2pqKq1bt872RXWurq5m6+ZnXOHChc3uGQwGMjIyALC2ts4xrntrvP766wwaNCjLvTJlyuQ4zmg0PnDPIiIiIiIiIiIiD6OksPwrWVhY8M477zBkyBDOnDmD0WjkwoULNGjQINdz+Pv7s2bNGtzd3bG0zP2ven7H/VXVqlX5+eefOXPmTLanhf39/Tl16pQpCS4iIiIiIiIiIvJP0Yvm5F+rY8eOprq7w4YN4+2332bZsmUkJCTw448/MnfuXJYtW5bj+DfeeINr167RtWtXDh8+TEJCAlu3bqVXr17cuXPnkY/7qwYNGlC/fn06dOjA9u3bOX/+PJs3b2bLli0AjBw5kv379zNw4EBiYmKIj49n3bp1D33RnIiIiIiIiIiIyN+lk8Lyr2VpacnAgQOZPn0658+fx9nZmSlTpnDu3DkcHR3x9/fnnXfeyXF8qVKliIyMZOTIkfzf//0faWlplC1blqCgICwscv57SH7H3W/NmjUMGzaMrl27cuPGDTw8PJg6dSpw9yTx3r17GT16NPXq1SMzM5MKFSrQuXPn3D8gERERERERERGRfDBkZmZmFnQQIpI/eXmrpIiIiIiIiIiIPL3ykidS+QgRERERERERERGRZ4iSwiIiIiIiIiIiIiLPENUUFnkK+I7dioXRpkBjSJzaskDXFxERERERERGR3NFJYXmiGQwG1q5dW9BhEBwcTNu2bQs6DBERERERERERkYdSUlj+NYKDgzEYDFmuoKCggg7NJDExEYPBQExMjFn7Bx98QERERIHEJCIiIiIiIiIikhcqHyH/KkFBQSxdutSszWg0FlA0uefg4FDQIYiIiIiIiIiIiOSKTgrLv4rRaMTFxcXsKlasGADx8fHUr18fKysrfHx82L59u9nYPXv2YDAYuH79uqktJiYGg8FAYmKiqS0yMpKGDRtiY2NDsWLFCAwM5Pfffwdgy5YtvPTSSzg6OuLk5ESrVq1ISEgwjS1XrhwAL7zwAgaDgYYNGwJZy0ekpaUxaNAgSpQogZWVFS+99BKHDx/OEuvOnTsJCAjAxsaGOnXqEBcX9ygeo4iIiIiIiIiISI6UFJYnQkZGBu3bt6dIkSIcPHiQBQsWMHLkyDzPExMTQ5MmTfDx8eHAgQPs27eP1q1bc+fOHQBu3LjBkCFDiIqKYufOnVhYWNCuXTsyMjIAOHToEAA7duwgKSmJr7/+Ott1RowYwZo1a1i2bBk//vgjHh4eBAYGcu3aNbN+o0ePJjw8nKioKCwtLendu/cD409LSyMlJcXsEhERERERERERyQuVj5B/lQ0bNmBnZ2fW9s477xAQEMDp06fZunUrpUqVAmDy5Mk0b948T/NPnz6dgIAA5s+fb2qrXLmy6ecOHTqY9V+yZAnOzs6cOnUKX19fnJ2dAXBycsLFxSXbNW7cuMFHH31ERESEKb5Fixaxfft2Fi9ezPDhw019J02aRIMGDQAYNWoULVu25M8//8TKyirbuadMmUJYWFie9iwiIiIiIiIiIvJXOiks/yqNGjUiJibG7OrXrx+xsbG4ubmZEsIAtWvXzvP8904K5yQ+Pp6uXbtSvnx57O3tcXd3B+DChQu5XiMhIYH09HTq1q1raitcuDA1atQgNjbWrG/VqlVNP7u6ugJw5cqVHOcODQ0lOTnZdF28eDHXcYmIiIiIiIiIiIBOCsu/jK2tLR4eHvkaa2Fx928cmZmZprb09HSzPtbW1g+co3Xr1pQtW5ZFixZRqlQpMjIy8PX15datW/mK6WEKFy5s+tlgMACYSlVkx2g0PhEv3hMRERERERERkX8vnRSWJ4K3tzcXL14kKSnJ1PbDDz+Y9blX2uGvfWJiYsz6VK1alZ07d2a7xtWrV4mLi+Pdd9+lSZMmeHt7m15Ad0+RIkUATDWIs1OhQgWKFClCZGSkqS09PZ3Dhw/j4+PzgF2KiIiIiIiIiIg8fjopLP8qaWlpXL582azN0tKSpk2b4unpSc+ePZkxYwYpKSmMHj3arJ+Hhwdubm6MGzeOSZMmcebMGcLDw836hIaGUqVKFQYMGEC/fv0oUqQIu3fvpmPHjhQvXhwnJyc+/vhjXF1duXDhAqNGjTIbX6JECaytrdmyZQvPP/88VlZWODg4mPWxtbWlf//+DB8+nOLFi1OmTBmmT5/OzZs36dOnzyN8WiIiIiIiIiIiInmnk8Lyr7JlyxZcXV3NrpdeegkLCwu++eYb/vjjD2rUqEFISAiTJk0yG1u4cGE+++wzTp8+TdWqVZk2bRoTJ0406+Pp6cm2bds4evQoNWrUoHbt2qxbtw5LS0ssLCz4/PPPiY6OxtfXl7fffpsZM2aYjbe0tGTOnDksXLiQUqVK0aZNm2z3MXXqVDp06ED37t3x9/fn7NmzbN26lWLFij3aByYiIiIiIiIiIpJHhsy/FmAVkSdKSkoKDg4OJCcnY29vX9DhiIiIiIiIiIhIAclLnkgnhUVERERERERERESeIUoKi4iIiIiIiIiIiDxD9KI5kaeA79itWBhtCjSGxKktC3R9ERERERERERHJHZ0UfsJFRETg6OhY0GEUmGd9/yIiIiIiIiIiInmlpHAB+/XXX+nfvz9lypTBaDTi4uJCYGAgkZGRuRrfuXNnzpw585ijfLIZDAasrKz46aefzNrbtm1LcHBwrudJTEzEYDAQExPzaAMUERERERERERH5B6l8RAHr0KEDt27dYtmyZZQvX55ffvmFnTt3cvXq1VyNt7a2xtra+jFH+eQzGAy89957LFu2rKBDAeDWrVsUKVKkoMMQEREREREREZFnkE4KF6Dr16/z/fffM23aNBo1akTZsmWpUaMGoaGhvPzyy2b9Xn/9dUqWLImVlRW+vr5s2LAByL58wrp16/D398fKyory5csTFhbG7du3TfcNBgOffPIJ7dq1w8bGhooVK7J+/XqzOU6ePEmrVq2wt7enaNGi1KtXj4SEBNP9Tz75BG9vb6ysrKhUqRLz589/4F63bNnCSy+9hKOjI05OTrRq1cpsvnuncL/++msaNWqEjY0Nfn5+HDhwwGyeiIgIypQpg42NDe3atct18nzgwIGsWLGCEydO5DvGcuXKAfDCCy9gMBho2LAhAA0bNmTw4MFmc91/Ctnd3Z0JEybQo0cP7O3tee211wDYt28f9erVw9raGjc3NwYNGsSNGzdyjDEtLY2UlBSzS0REREREREREJC+UFC5AdnZ22NnZsXbtWtLS0rLtk5GRQfPmzYmMjGTFihWcOnWKqVOnUqhQoWz7f//99/To0YO33nqLU6dOsXDhQiIiIpg0aZJZv7CwMDp16sSxY8do0aIF3bp149q1awD897//pX79+hiNRnbt2kV0dDS9e/c2JZZXrlzJe++9x6RJk4iNjWXy5MmMGTPmgadwb9y4wZAhQ4iKimLnzp1YWFjQrl07MjIyzPqNHj2aYcOGERMTg6enJ127djWte/DgQfr06cPAgQOJiYmhUaNGTJw4MVfPum7durRq1YpRo0blO8ZDhw4BsGPHDpKSkvj6669ztfY9M2fOxM/PjyNHjjBmzBgSEhIICgqiQ4cOHDt2jC+++IJ9+/YxcODAHOeYMmUKDg4OpsvNzS1PMYiIiIiIiIiIiBgyMzMzCzqIZ9maNWvo27cvf/zxB/7+/jRo0IAuXbpQtWpVALZt20bz5s2JjY3F09Mzy/iIiAgGDx7M9evXAWjatClNmjQhNDTU1GfFihWMGDGCS5cuAXdPCr/77rtMmDABuJsMtbOzY/PmzQQFBfHOO+/w+eefExcXR+HChbOs6eHhwYQJE+jataupbeLEiWzatIn9+/fnat+//fYbzs7OHD9+HF9fXxITEylXrhyffPIJffr0AeDUqVNUrlyZ2NhYKlWqxCuvvEJycjIbN240zdOlSxe2bNli2n92DAYD33zzDZ6enlStWpXdu3dTr1492rZti6OjIxEREXmK8ciRI1SrVs3Ur2HDhlSrVo3Zs2eb2u6f293dnRdeeIFvvvnG1CckJIRChQqxcOFCU9u+ffto0KABN27cwMrKKktMaWlpZn9ASElJwc3NDbfBq7Ew2uT4DP4JiVNbFuj6IiIiIiIiIiLPspSUFBwcHEhOTsbe3v6BfXVSuIB16NCBS5cusX79eoKCgtizZw/+/v6mZGJMTAzPP/98tgnh7Bw9epTx48ebTiHb2dnRt29fkpKSuHnzpqnfvaQzgK2tLfb29ly5csW0Zr169bJNCN+4cYOEhAT69OljtsbEiRPNSi3cLz4+nq5du1K+fHns7e1xd3cH4MKFC2b9/hqXq6srgCmu2NhYatasada/du3auXksAPj4+NCjR48cTwvnNsb8CggIMPt89OhRIiIizJ5jYGAgGRkZnD9/Pts5jEYj9vb2ZpeIiIiIiIiIiEhe6EVz/wJWVlY0a9aMZs2aMWbMGEJCQhg7dizBwcF5folcamoqYWFhtG/fPtt17rk/4WswGExlEh60ZmpqKgCLFi3KkqDNqaQFQOvWrSlbtiyLFi2iVKlSZGRk4Ovry61bt8z6/TUug8EAkKXExN8RFhaGp6cna9euzXeM97OwsOD+A/fp6elZ+tna2pp9Tk1N5fXXX2fQoEFZ+pYpUyYXuxEREREREREREck7JYX/hXx8fExJy6pVq/Lzzz9z5syZXJ0W9vf3Jy4uDg8Pj3yvX7VqVZYtW0Z6enqW5HHJkiUpVaoU586do1u3brma7+rVq8TFxbFo0SLq1asH3C2TkFfe3t4cPHjQrO2HH37I0xxubm4MHDiQd955hwoVKuQpxiJFigBw584ds3ZnZ2eSkpJMn+/cucOJEydo1KjRA2Px9/fn1KlTf+u7EhERERERERERySuVjyhAV69epXHjxqxYsYJjx45x/vx5vvzyS6ZPn06bNm0AaNCgAfXr16dDhw5s376d8+fPs3nzZrZs2ZLtnO+99x6ffvopYWFhnDx5ktjYWD7//HPefffdXMc1cOBAUlJS6NKlC1FRUcTHx7N8+XLi4uKAu6dtp0yZwpw5czhz5gzHjx9n6dKlzJo1K9v5ihUrhpOTEx9//DFnz55l165dDBkyJI9PCwYNGsSWLVuYOXMm8fHxzJs3L8fn8CChoaFcunSJHTt25CnGEiVKYG1tzZYtW/jll19ITk4GoHHjxmzcuJGNGzdy+vRp+vfv/8Aax/eMHDmS/fv3m16cFx8fz7p16x74ojkREREREREREZG/SyeFC5CdnR01a9bk/fffJyEhgfT0dNzc3Ojbty/vvPOOqd+aNWsYNmwYXbt25caNG3h4eDB16tRs5wwMDGTDhg2MHz+eadOmUbhwYSpVqkRISEiu43JycmLXrl0MHz6cBg0aUKhQIapVq0bdunWBuy9Is7GxYcaMGQwfPhxbW1uqVKnC4MGDs53PwsKCzz//nEGDBuHr64uXlxdz5syhYcOGuY4JoFatWixatIixY8fy3nvv0bRpU7MX5uVW8eLFGTlypNkzzk2MlpaWzJkzh/Hjx/Pee+9Rr1499uzZQ+/evTl69Cg9evTA0tKSt99++6GnhOHuiey9e/cyevRo6tWrR2ZmJhUqVKBz58552g/AibBA1RcWEREREREREZFcMWTeXwxVRJ4YeXmrpIiIiIiIiIiIPL3ykidS+QgRERERERERERGRZ4jKR4g8BXzHbsXCaFPQYZA4tWVBhyAiIiIiIiIiIg+hk8KPQEREBI6OjgUdRoEpyP27u7sze/bsp2YdERERERERERGRx01JYeDXX3+lf//+lClTBqPRiIuLC4GBgURGRuZqfOfOnTlz5sxjjvLJFBERgcFgeOCVmJhY0GGKiIiIiIiIiIg8M1Q+AujQoQO3bt1i2bJllC9fnl9++YWdO3dy9erVXI23trbG2tr6MUf5ZOrcuTNBQUGmz+3bt8fX15fx48eb2pydnQsiNBERERERERERkWfSM39S+Pr163z//fdMmzaNRo0aUbZsWWrUqEFoaCgvv/yyWb/XX3+dkiVLYmVlha+vLxs2bACyL5+wbt06/P39sbKyonz58oSFhXH79m3TfYPBwCeffEK7du2wsbGhYsWKrF+/3myOkydP0qpVK+zt7SlatCj16tUjISHBdP+TTz7B29sbKysrKlWqxPz58x+41y1btvDSSy/h6OiIk5MTrVq1MpsvMTERg8HA119/TaNGjbCxscHPz48DBw6YzRMREUGZMmWwsbGhXbt2D0yeW1tb4+LiYrqKFCmCjY2N6bOVlRWvv/46zs7O2Nvb07hxY44ePWo2x7fffkv16tWxsrLiueeeo127dmb3b968Se/evSlatChlypTh448/zvOe1qxZQ+XKlTEajbi7uxMeHv7AZ3nhwgXatGmDnZ0d9vb2dOrUiV9++cWsz8SJEylRogRFixYlJCSEUaNGUa1aNQC+++47ChcuzOXLl83GDB48mHr16j1wbRERERERERERkb/jmU8K29nZYWdnx9q1a0lLS8u2T0ZGBs2bNycyMpIVK1Zw6tQppk6dSqFChbLt//3339OjRw/eeustTp06xcKFC4mIiGDSpElm/cLCwujUqRPHjh2jRYsWdOvWjWvXrgHw3//+l/r162M0Gtm1axfR0dH07t3blFheuXIl7733HpMmTSI2NpbJkyczZswYli1bluNeb9y4wZAhQ4iKimLnzp1YWFjQrl07MjIyzPqNHj2aYcOGERMTg6enJ127djWte/DgQfr06cPAgQOJiYmhUaNGTJw4MXcPOxsdO3bkypUrbN68mejoaPz9/WnSpInpOWzcuJF27drRokULjhw5ws6dO6lRo4bZHOHh4QQEBHDkyBEGDBhA//79iYuLy/WeoqOj6dSpE126dOH48eOMGzeOMWPGEBERkW3MGRkZtGnThmvXrrF37162b9/OuXPn6Ny5s6nPypUrmTRpEtOmTSM6OpoyZcrw0Ucfme7Xr1+f8uXLs3z5clNbeno6K1eupHfv3jk+r7S0NFJSUswuERERERERERGRvDBkZmZmFnQQBW3NmjX07duXP/74A39/fxo0aECXLl2oWrUqANu2baN58+bExsbi6emZZXxERASDBw/m+vXrADRt2pQmTZoQGhpq6rNixQpGjBjBpUuXgLsnhd99910mTJgA3E3Y2tnZsXnzZoKCgnjnnXf4/PPPiYuLo3DhwlnW9PDwYMKECXTt2tXUNnHiRDZt2sT+/ftzte/ffvsNZ2dnjh8/jq+vL4mJiZQrV45PPvmEPn36AHDq1CkqV65MbGwslSpV4pVXXiE5OZmNGzea5unSpQtbtmwx7f9BGjZsSLVq1Zg9ezb79u2jZcuWXLlyBaPRaLa3ESNG8Nprr1GnTh3Kly/PihUrsp3P3d2devXqmZKrmZmZuLi4EBYWRr9+/XK1p27duvHrr7+ybds207wjRoxg48aNnDx50rTO4MGDGTx4MNu3b6d58+acP38eNzc3szkPHTpE9erVqVWrFgEBAcybN88050svvURqaioxMTEATJ8+nYiICE6dOgXA119/Tc+ePbl8+TK2trbZ7nfcuHGEhYVlaXcbvBoLo81Dn//jlji1ZUGHICIiIiIiIiLyTEpJScHBwYHk5GTs7e0f2PeZPykMd2sKX7p0ifXr1xMUFMSePXvw9/c3nRSNiYnh+eefzzYhnJ2jR48yfvx40ylkOzs7+vbtS1JSEjdv3jT1u5d0BrC1tcXe3p4rV66Y1qxXr162CeEbN26QkJBAnz59zNaYOHGiWTmI+8XHx9O1a1fKly+Pvb097u7uwN1SCH/117hcXV0BTHHFxsZSs2ZNs/61a9fOzWPJ4ujRo6SmpuLk5GS2j/Pnz5v2ERMTQ5MmTR44z1/jNRgMuLi4mOLN7Z7q1q1r1r9u3brEx8dz586dLOvFxsbi5uZmSggD+Pj44OjoSGxsLABxcXFZTjTf/zk4OJizZ8/yww8/AHf/uNCpU6ccE8IAoaGhJCcnm66LFy/m2FdERERERERERCQ7etHc/2NlZUWzZs1o1qwZY8aMISQkhLFjxxIcHJznl8ilpqYSFhZG+/bts13nnvsTvgaDwVTK4UFrpqamArBo0aIsCdqcSloAtG7dmrJly7Jo0SJKlSpFRkYGvr6+3Lp1y6zfX+MyGAwAWUpMPAqpqam4urqyZ8+eLPfu1WjOzbN/0HPMrs/j3FNelChRgtatW7N06VLKlSvH5s2bs30Wf2U0Gs1OVYuIiIiIiIiIiOSVksI58PHxYe3atcDdU6Y///wzZ86cydVpYX9/f+Li4vDw8Mj3+lWrVmXZsmWkp6dnSXqWLFmSUqVKce7cObp165ar+a5evUpcXByLFi0yvchs3759eY7L29ubgwcPmrXdO+maV/7+/ly+fBlLS0vTqeX7Va1alZ07d9KrV698rZEb3t7eREZGmrVFRkbi6emZbZLd29ubixcvcvHiRbPyEdevX8fHxwcALy8vDh8+TI8ePUzjDh8+nGWukJAQunbtyvPPP0+FChWynFgWERERERERERF51J75pPDVq1fp2LEjvXv3pmrVqhQtWpSoqCimT59OmzZtAGjQoAH169enQ4cOzJo1Cw8PD06fPo3BYCAoKCjLnO+99x6tWrWiTJky/Oc//8HCwoKjR49y4sSJXL+UbeDAgcydO5cuXboQGhqKg4MDP/zwAzVq1MDLy4uwsDAGDRqEg4MDQUFBpKWlERUVxe+//86QIUOyzFesWDGcnJz4+OOPcXV15cKFC4waNSrPz2vQoEHUrVuXmTNn0qZNG7Zu3cqWLVvyPA/crb1cu3Zt2rZty/Tp0/H09OTSpUuml8sFBAQwduxYmjRpQoUKFejSpQu3b99m06ZNjBw5Ml9rZmfo0KFUr16dCRMm0LlzZw4cOMC8efOYP39+jnFXqVKFbt26MXv2bG7fvs2AAQNo0KABAQEBALz55pv07duXgIAA6tSpwxdffMGxY8coX7682VyBgYHY29szceJExo8f/8j2JCIiIiIiIiIikpNnvqawnZ0dNWvW5P3336d+/fr4+voyZswY+vbta/aSsDVr1lC9enW6du2Kj48PI0aMyLbeLNxN9G3YsIFt27aZXjr2/vvvU7Zs2VzH5eTkxK5du0hNTaVBgwa8+OKLLFq0yHRqOCQkhE8++YSlS5dSpUoVGjRoQEREBOXKlct2PgsLCz7//HOio6Px9fXl7bffZsaMGXl4UnfVqlWLRYsW8cEHH+Dn58e2bdt499138zwP3C3jsGnTJurXr0+vXr3w9PSkS5cu/PTTT5QsWRK4+2K6L7/8kvXr11OtWjUaN27MoUOH8rVeTvz9/Vm9ejWff/45vr6+vPfee4wfP57g4OAc4163bh3FihWjfv36NG3alPLly/PFF1+Y+nTr1o3Q0FCGDRuGv78/58+fJzg42Kx8CNz9XoKDg7lz547ZqWIREREREREREZHHxZCZmZlZ0EGIPAuaNWuGi4sLy5cvN2vv06cPv/76K+vXr8/znHl5q6SIiIiIiIiIiDy98pIneubLR4g8Djdv3mTBggUEBgZSqFAhPvvsM3bs2MH27dtNfZKTkzl+/DirVq3KV0JYREREREREREQkP5QUFnkM7pXGmDRpEn/++SdeXl6sWbOGpk2bmvq0adOGQ4cO0a9fP5o1a1aA0YqIiIiIiIiIyLNE5SNEnmD3/luA2+DVWBhtCjqcHCVObVnQIYiIiIiIiIiIPNXyUj7imX/RnBQMd3d3Zs+enev+ERERODo6PrZ44O5L7QYPHvxY1xARERERERERESloSgpLFr/++iv9+/enTJkyGI1GXFxcCAwMJDIy8pGtcfjwYV577bVHNh/A3r17ady4McWLF8fGxoaKFSvSs2dPbt26lavxX3/9NRMmTHikMYmIiIiIiIiIiPzbqKawZNGhQwdu3brFsmXLKF++PL/88gs7d+7k6tWrj2wNZ2fnRzYXwKlTpwgKCuLNN99kzpw5WFtbEx8fz5o1a7hz506u5ihevPgjjUlEREREREREROTfSCeFxcz169f5/vvvmTZtGo0aNaJs2bLUqFGD0NBQXn75ZVO/Cxcu0KZNG+zs7LC3t6dTp0788ssvZnN9++23VK9eHSsrK5577jnatWtnund/+YhZs2ZRpUoVbG1tcXNzY8CAAaSmpuY67m3btuHi4sL06dPx9fWlQoUKBAUFsWjRIqytrU39IiMjadiwITY2NhQrVozAwEB+//13IGv5iLS0NIYNG0bp0qWxtbWlZs2a7Nmzx3T/XkmLrVu34u3tjZ2dHUFBQSQlJZnFtmTJEipXrozRaMTV1ZWBAweaPe+QkBCcnZ2xt7encePGHD16NNf7FhERERERERERySslhcWMnZ0ddnZ2rF27lrS0tGz7ZGRk0KZNG65du8bevXvZvn07586do3PnzqY+GzdupF27drRo0YIjR46wc+dOatSokeO6FhYWzJkzh5MnT7Js2TJ27drFiBEjch23i4sLSUlJfPfddzn2iYmJoUmTJvj4+HDgwAH27dtH69atczxJPHDgQA4cOMDnn3/OsWPH6NixI0FBQcTHx5v63Lx5k5kzZ7J8+XK+++47Lly4wLBhw0z3P/roI9544w1ee+01jh8/zvr16/Hw8DDd79ixI1euXGHz5s1ER0fj7+9PkyZNuHbtWrYxpaWlkZKSYnaJiIiIiIiIiIjkhSEzMzOzoIOQf5c1a9bQt29f/vjjD/z9/WnQoAFdunShatWqAGzfvp3mzZtz/vx53NzcgLvlGypXrsyhQ4eoXr06derUoXz58qxYsSLbNdzd3Rk8eHCOL3b76quv6NevH7/99htw91Tu4MGDuX79erb979y5Q0hICBEREbi4uFCrVi2aNGlCjx49TG9bfOWVV7hw4QL79u3Ldo6GDRtSrVo1Zs+ezYULFyhfvjwXLlygVKlSpj5NmzalRo0aTJ48mYiICHr16sXZs2epUKECAPPnz2f8+PFcvnwZgNKlS9OrVy8mTpyYZb19+/bRsmVLrly5gtFoNLV7eHgwYsSIbGsujxs3jrCwsCztboNXY2G0yXZf/waJU1sWdAgiIiIiIiIiIk+1lJQUHBwcSE5ONuXDcqKTwpJFhw4duHTpEuvXrycoKIg9e/bg7+9PREQEALGxsbi5uZkSwgA+Pj44OjoSGxsL/P+ncnNrx44dNGnShNKlS1O0aFG6d+/O1atXuXnzZq7GFypUiKVLl/Lzzz8zffp0SpcuzeTJk6lcubKpnENeYjp+/Dh37tzB09PTdHrazs6OvXv3kpCQYOpnY2NjSggDuLq6cuXKFQCuXLnCpUuXclzz6NGjpKam4uTkZLbG+fPnzdb4q9DQUJKTk03XxYsXc7UfERERERERERGRe/SiOcmWlZUVzZo1o1mzZowZM4aQkBDGjh1LcHBwrsb/tY7vwyQmJtKqVSv69+/PpEmTKF68OPv27aNPnz7cunULG5vcn4AtXbo03bt3p3v37kyYMAFPT08WLFhAWFhYnmJKTU2lUKFCREdHU6hQIbN7dnZ2pp8LFy5sds9gMHDv8P3D1ktNTcXV1dWsTvE9jo6O2Y4xGo1mp4pFRERERERERETy6m+dFD579ixbt27ljz/+AECVKJ5ePj4+3LhxAwBvb28uXrxodkr11KlTXL9+HR8fHwCqVq3Kzp07czV3dHQ0GRkZhIeHU6tWLTw9Pbl06dLfjrlYsWK4urqa4s5LTC+88AJ37tzhypUreHh4mF0uLi65mqNo0aK4u7vnuKa/vz+XL1/G0tIyyxrPPfdc7jYpIiIiIiIiIiKSR/lKCl+9epWmTZvi6elJixYtTP89v0+fPgwdOvSRBij/rKtXr9K4cWNWrFjBsWPHOH/+PF9++SXTp0+nTZs2wN26ulWqVKFbt278+OOPHDp0iB49etCgQQMCAgIAGDt2LJ999hljx44lNjaW48ePM23atGzX9PDwID09nblz53Lu3DmWL1/OggUL8hT3woUL6d+/P9u2bSMhIYGTJ08ycuRITp48SevWrYG7pRcOHz7MgAEDOHbsGKdPn+ajjz4y1S3+K09PT7p160aPHj34+uuvOX/+PIcOHWLKlCls3Lgx13GNGzeO8PBw5syZQ3x8PD/++CNz5841PcfatWvTtm1btm3bRmJiIvv372f06NFERUXlaf8iIiIiIiIiIiK5la+k8Ntvv42lpSUXLlww+6/9nTt3ZsuWLY8sOPnn2dnZUbNmTd5//33q16+Pr68vY8aMoW/fvsybNw+4WyJh3bp1FCtWjPr169O0aVPKly/PF198YZqnYcOGfPnll6xfv55q1arRuHFjDh06lO2afn5+zJo1i2nTpuHr68vKlSuZMmVKnuKuUaMGqamp9OvXj8qVK9OgQQN++OEH1q5dS4MGDYC7id5t27Zx9OhRatSoQe3atVm3bh2WltlXUVm6dCk9evRg6NCheHl50bZtWw4fPkyZMmVyHVfPnj2ZPXs28+fPp3LlyrRq1Yr4+Hjg7nPctGkT9evXp1evXnh6etKlSxd++uknSpYsmaf9i4iIiIiIiIiI5JYhMx81H1xcXNi6dSt+fn4ULVqUo0ePUr58ec6dO0fVqlVJTU19HLGKyH3y8lZJERERERERERF5euUlT5Svk8I3btzI9uVf165d00uwRERERERERERERP7F8pUUrlevHp9++qnps8FgICMjg+nTp9OoUaNHFpyIiIiIiIiIiIiIPFrZF1N9iOnTp9OkSROioqK4desWI0aM4OTJk1y7do3IyMhHHaOIPITv2K1YGLOe3v+3SpzasqBDEBERERERERF5ZuXrpLCvry9nzpzhpZdeok2bNty4cYP27dtz5MgRKlSo8KhjFPnXa9iwIYMHD851/8TERAwGAzExMY8tJhERERERERERkezkOSmcnp5OkyZNuHLlCqNHj2b16tVs2rSJiRMn4urq+jhilCdMZmYmTZs2JTAwMMu9+fPn4+joyM8//1wAkeXelClTKFSoEDNmzPhH1tuzZw8Gg4Hr16//I+uJiIiIiIiIiMizK89J4cKFC3Ps2LHHEYs8JQwGA0uXLuXgwYMsXLjQ1H7+/HlGjBjB3Llzef755wswwodbsmQJI0aMYMmSJQUdioiIiIiIiIiIyCOVr/IRr776KosXL37UschTxM3NjQ8++IBhw4Zx/vx5MjMz6dOnD//3f/9HmTJlqFGjBkajEVdXV0aNGsXt27dNY93d3Zk9e7bZfNWqVWPcuHGmzwaDgU8++YR27dphY2NDxYoVWb9+vdmY9evXU7FiRaysrGjUqBHLli3L1WncvXv38scffzB+/HhSUlLYv3+/2f0bN27Qo0cP7OzscHV1JTw8PMscBoOBtWvXmrU5OjoSERGRpW9iYqLpBY3FihXDYDAQHBycbWxpaWmkpKSYXSIiIiIiIiIiInmRrxfN3b59myVLlrBjxw5efPFFbG1tze7PmjXrkQQnT7aePXvyzTff0Lt3b9q3b8+JEyc4fPgwPj4+BAcH8+mnn3L69Gn69u2LlZWVWdI3N8LCwpg+fTozZsxg7ty5dOvWjZ9++onixYtz/vx5/vOf//DWW28REhLCkSNHGDZsWK7mXbx4MV27dqVw4cJ07dqVxYsXU6dOHdP94cOHs3fvXtatW0eJEiV45513+PHHH6lWrVqe4r/Hzc2NNWvW0KFDB+Li4rC3t8fa2jrbvlOmTCEsLCxf64iIiIiIiIiIiEA+k8InTpzA398fgDNnzpjdMxgMfz8qeWp8/PHHVK5cme+++441a9bw8ccf4+bmxrx58zAYDFSqVIlLly4xcuRI3nvvPSwscn94PTg4mK5duwIwefJk5syZw6FDhwgKCmLhwoV4eXmZagJ7eXlx4sQJJk2a9MA5U1JS+Oqrrzhw4ABw91R8vXr1+OCDD7CzsyM1NZXFixezYsUKmjRpAsCyZcv+VjmMQoUKUbx4cQBKlCiBo6Njjn1DQ0MZMmSIWbxubm75XltERERERERERJ49+UoK7969+1HHIU+pEiVK8Prrr7N27Vratm3Lp59+Su3atc3+eFC3bl1SU1P5+eefKVOmTK7nrlq1qulnW1tb7O3tuXLlCgBxcXFUr17drH+NGjUeOudnn31GhQoV8PPzA+6WrShbtixffPEFffr0ISEhgVu3blGzZk3TmOLFi+Pl5ZXruP8Oo9GI0Wj8R9YSEREREREREZGnU75qCovkhaWlJZaWuf/7g4WFBZmZmWZt6enpWfoVLlzY7LPBYCAjIyN/Qf4/ixcv5uTJk6aYLS0tOXXqVJ5fOGcwGHK1BxERERERERERkX9avk4K37hxg6lTp7Jz506uXLmSJRF37ty5RxKcPH28vb1Zs2YNmZmZptPCkZGRFC1a1FSCwdnZmaSkJNOYlJQUzp8/n6d1vLy82LRpk1nb4cOHHzjm+PHjREVFsWfPHlM5B4Br167RsGFDTp8+TYUKFShcuDAHDx40nWr+/fffOXPmDA0aNDCNuX8P8fHx3Lx5M8e1ixQpAsCdO3dyv0kREREREREREZF8yFdSOCQkhL1799K9e3dcXV1VR1hybcCAAcyePZs333yTgQMHEhcXx9ixYxkyZIipnnDjxo2JiIigdevWODo68t5771GoUKE8rfP6668za9YsRo4cSZ8+fYiJiSEiIgLIue714sWLqVGjBvXr189yr3r16ixevJgZM2bQp08fhg8fjpOTEyVKlGD06NFZaiE3btyYefPmUbt2be7cucPIkSOznGz+q7Jly2IwGNiwYQMtWrTA2toaOzu7PO1ZREREREREREQkN/KVFN68eTMbN26kbt26jzoeecqVLl2aTZs2MXz4cPz8/ChevDh9+vTh3XffNfUJDQ3l/PnztGrVCgcHByZMmJDnk8LlypXjq6++YujQoXzwwQfUrl2b0aNH079//2xr8t66dYsVK1YwcuTIbOfr0KED4eHhTJ48mRkzZpCamkrr1q0pWrQoQ4cOJTk52ax/eHg4vXr1ol69epQqVYoPPviA6OjoBz6XsLAwRo0aRa9evejRo4cpiZ0bJ8ICsbe3z3V/ERERERERERF5dhky7y98mgvlypVj06ZNeHt7P46YRB6LSZMmsWDBAi5evFjQoTwyKSkpODg4kJycrKSwiIiIiIiIiMgzLC95ony9aG7ChAm89957D6yRKlLQ5s+fz+HDhzl37hzLly9nxowZ9OzZs6DDEhERERERERERKVD5Kh8RHh5OQkICJUuWxN3dPUut1B9//PGRBCfyd8THxzNx4kSuXbtGmTJlGDp0KKGhoQUd1mPhO3YrFkabgg7jkUmc2rKgQxAREREREREReWrlKynctm3bRxyGyKP3/vvv8/777z+WuSMiIhg8eDDXr19/LPOLiIiIiIiIiIg8LvlKCo8dO/ZRxyHPCIPB8MD7Y8eOZdy4cf9MMMDZs2eZNGkS27dv59dff6VUqVLUqlWLoUOHEhAQkOO4zp0706JFi38sThERERERERERkUclX0lhgOvXr/PVV1+RkJDA8OHDKV68OD/++CMlS5akdOnSjzJGeYokJSWZfv7iiy947733iIuLM7XZ2dmZfs7MzOTOnTtYWub71/SBoqKiaNKkCb6+vixcuJBKlSrxv//9j3Xr1jF06FD27t2b7bj09HSsra2xtrZ+LHGJiIiIiIiIiIg8Tvl60dyxY8fw9PRk2rRpzJw50/Rf6L/++uuntmarPBouLi6my8HBAYPBYPp8+vRpihYtyubNm3nxxRcxGo3s27eP4ODgLCVLBg8eTMOGDU2fMzIymDJlCuXKlcPa2ho/Pz+++uqrHOPIzMwkODiYihUr8v3339OyZUsqVKhAtWrVGDt2LOvWrQMgMTERg8HAF198QYMGDbCysmLlypVERETg6Ohomm/cuHFUq1aNJUuWUKZMGezs7BgwYAB37txh+vTpuLi4UKJECSZNmmQWx/Xr1wkJCcHZ2Rl7e3saN27M0aNH//ZzFhERERERERERyUm+jmAOGTKE4OBgpk+fTtGiRU3tLVq04JVXXnlkwcmzadSoUcycOZPy5ctTrFixXI2ZMmUKK1asYMGCBVSsWJHvvvuOV199FWdnZxo0aJClf0xMDCdPnmTVqlVYWGT928hfE773YgoPD+eFF17AysqKrVu3ZhmTkJDA5s2b2bJlCwkJCfznP//h3LlzeHp6snfvXvbv30/v3r1p2rQpNWvWBKBjx45YW1uzefNmHBwcWLhwIU2aNOHMmTMUL148yxppaWmkpaWZPqekpOTq+YiIiIiIiIiIiNyTr6Tw4cOHWbhwYZb20qVLc/ny5b8dlDzbxo8fT7NmzXLdPy0tjcmTJ7Njxw5q164NQPny5dm3bx8LFy7MNikcHx8PQKVKlXK1xuDBg2nfvv0D+2RkZLBkyRKKFi2Kj48PjRo1Ii4ujk2bNmFhYYGXlxfTpk1j9+7d1KxZk3379nHo0CGuXLmC0WgEYObMmaxdu5avvvqK1157LcsaU6ZMISwsLFcxi4iIiIiIiIiIZCdfSWGj0ZjtCcUzZ87g7Oz8t4OSZ9uDXvCWnbNnz3Lz5s0sieRbt27xwgsvZDsmMzPzkcfk7u5udnK+ZMmSFCpUyOwkcsmSJbly5QoAR48eJTU1FScnJ7N5/vjjDxISErJdIzQ0lCFDhpg+p6Sk4Obmlqe9iIiIiIiIiIjIsy1fSeGXX36Z8ePHs3r1agAMBgMXLlxg5MiRdOjQ4ZEGKM8eW1tbs88WFhZZkrjp6emmn1NTUwHYuHFjlpcc3juBez9PT08ATp8+nWPi+EExZadw4cJmnw0GQ7ZtGRkZprhdXV3Zs2dPlrnuL19xj9FozHFPIiIiIiIiIiIiuZGvpHB4eDj/+c9/KFGiBH/88QcNGjTg8uXL1KpVK8uLtET+LmdnZ06cOGHWFhMTY0q4+vj4YDQauXDhQralIrJTrVo1fHx8CA8Pp3PnzlnqCl+/fj3HxOyj4u/vz+XLl7G0tMTd3f2xriUiIiIiIiIiInJPvpLCDg4ObN++ncjISNN/gff396dp06aPOj4RGjduzIwZM/j000+pXbs2K1as4MSJE6YTvkWLFmXYsGG8/fbbZGRk8NJLL5GcnExkZCT29vb07Nkzy5wGg4GlS5fStGlT6tWrx+jRo6lUqRKpqal8++23bNu2jb179z7WfTVt2pTatWvTtm1bpk+fjqenJ5cuXWLjxo20a9cuz2U0REREREREREREcsPi4V3+f3/88QcbNmwwfd6wYQNnz57l8uXLbNq0iREjRvDnn38+8iDl2RYYGMiYMWMYMWIE1atX53//+x89evQw6zNhwgTGjBnDlClT8Pb2JigoiI0bN1KuXLkc561RowZRUVF4eHjQt29fvL29efnllzl58iSzZ89+zLu6m5jetGkT9evXp1evXnh6etKlSxd++uknSpYs+djXFxERERERERGRZ5MhMw9v3FqwYAEbN27k22+/Be6e0KxcuTLW1tbA3fqsI0aM4O2333480YqImZSUFBwcHEhOTsbe3r6gwxERERERERERkQKSlzxRnk4Kr1y5ktdee82sbdWqVezevZvdu3czY8YM08vnREREREREREREROTfJ09J4bNnz1KlShXTZysrK7MXdNWoUYNTp049uuhERERERERERERE5JHK04vmrl+/Tlpamunzr7/+anY/IyPD7L6I/DN8x27FwmhT0GE8MolTWxZ0CCIiIiIiIiIiT608nRR+/vnnOXHiRI73jx07xvPPP/+3g3rc9uzZg8Fg4Pr16wUWQ8OGDRk8ePA/vm5iYiIGg4GYmJhHPndwcDBt27b9W3M8zvgeh/t/lyIiInB0dCzQmERERERERERERB4kT0nhFi1a8N577/Hnn39muffHH38QFhZGy5aP94Tf5cuXefPNNylfvjxGoxE3Nzdat27Nzp078z2nEnnmGjZsiMFgyHL169cPeLyJWzc3N5KSkvD19c33HN988w21atXCwcHB9DLEvybgx40bR7Vq1f5+sNno3LkzZ86ceSxzi4iIiIiIiIiIPAp5Kh/xzjvvsHr1ary8vBg4cCCenp4AxMXFMW/ePG7fvs0777zzWAKFu8nIunXr4ujoyIwZM6hSpQrp6els3bqVN954g9OnTz+2tXMrPT2dwoULF3QYf1vfvn0ZP368WZuNzeMvT1CoUCFcXFzyPX7nzp107tyZSZMm8fLLL2MwGDh16hTbt29/hFHmzNraGmtr639kLRERERERERERkfzI00nhkiVLsn//fry9vRk1ahTt2rWjXbt2hIaG4uPjw759+yhZsuTjipUBAwZgMBg4dOgQHTp0wNPTk8qVKzNkyBB++OEHIPtTrNevX8dgMLBnz54sc+7Zs4devXqRnJxsOhE7btw4AAwGA2vXrjXr7+joSEREhNlaX3zxBQ0aNMDKyoqVK1dy9epVunbtSunSpbGxsaFKlSp89tlnedprQkICbdq0oWTJktjZ2VG9enV27Nhh1sfd3Z3JkyfTu3dvihYtSpkyZfj444/N+hw6dIgXXngBKysrAgICOHLkSK7Wt7GxwcXFxeyyt7cHoFy5cgC88MILGAwGGjZsaDZ25syZuLq64uTkxBtvvEF6enquY87u+zt58iStWrXC3t6eokWLUq9ePRISErKN+9tvv6Vu3boMHz4cLy8vPD09adu2LR9++CFw91R4WFgYR48eNX3fERERuf692bRpE56enlhbW9OoUSMSExPN1s/u1Pm6devw9/fHysqK8uXLExYWxu3btwHIzMxk3LhxlClTBqPRSKlSpRg0aFCO34uIiIiIiIiIiMjflaekMNxNCG7ZsoVff/2VH374gR9++IFff/2VLVu2UL58+ccRIwDXrl1jy5YtvPHGG9ja2ma5n9/yD3Xq1GH27NnY29uTlJREUlISw4YNy9Mco0aN4q233iI2NpbAwED+/PNPXnzxRTZu3MiJEyd47bXX6N69O4cOHcr1nKmpqbRo0YKdO3dy5MgRgoKCaN26NRcuXDDrFx4ebkr2DhgwgP79+xMXF2eao1WrVvj4+BAdHc24cePyvLfs3NvHjh07SEpK4uuvvzbd2717NwkJCezevZtly5YRERFhSqLnJub7/fe//6V+/foYjUZ27dpFdHQ0vXv3NiVV7+fi4sLJkydzrH3duXNnhg4dSuXKlU3fd+fOnXO174sXL9K+fXtat25NTEwMISEhjBo16oFjvv/+e3r06MFbb73FqVOnWLhwIREREUyaNAmANWvW8P7777Nw4ULi4+NZu3YtVapUyXG+tLQ0UlJSzC4REREREREREZG8yFP5iL8qXrw4NWrUeJSxPNDZs2fJzMykUqVKj3TeIkWK4ODggMFgyHfZgsGDB9O+fXuztr8mX9988022bt3K6tWrc/3M/Pz88PPzM32eMGEC33zzDevXr2fgwIGm9hYtWjBgwAAARo4cyfvvv8/u3bvx8vJi1apVZGRksHjxYqysrKhcuTI///wz/fv3f+j68+fP55NPPjFrW7hwId26dcPZ2RkAJyenLM+sWLFizJs3j0KFClGpUiVatmzJzp076du3b65ivt+HH36Ig4MDn3/+uaksx72yJdl58803+f7776lSpQply5alVq1a/N///R/dunXDaDRibW2NnZ0dlpaWef6+P/roIypUqEB4eDgAXl5eHD9+nGnTpuU4JiwsjFGjRtGzZ08Aypcvz4QJExgxYgRjx47lwoULuLi40LRpUwoXLkyZMmUe+DsyZcoUwsLC8hS3iIiIiIiIiIjIX+X5pHBByczMLOgQchQQEGD2+c6dO0yYMIEqVapQvHhx7Ozs2Lp1a5ZTvg+SmprKsGHD8Pb2xtHRETs7O2JjY7PMUbVqVdPP9xLbV65cASA2NpaqVatiZWVl6lO7du1crd+tWzdiYmLMrpdffvmh4ypXrkyhQoVMn11dXU3x5Cbm+8XExFCvXr1c12m2tbVl48aNnD17lnfffRc7OzuGDh1KjRo1uHnzZq7myElsbCw1a9Y0a3vY8zx69Cjjx4/Hzs7OdPXt25ekpCRu3rxJx44d+eOPPyhfvjx9+/blm2++yfEUNEBoaCjJycmm6+LFi39rTyIiIiIiIiIi8uzJ90nhf1rFihUxGAwPfZmchcXdPPdfk8h/rWmbFwaDIUsyOru57i9nMWPGDD744ANmz55NlSpVsLW1ZfDgwdy6dSvXaw8bNozt27czc+ZMPDw8sLa25j//+U+WOe5PlhoMBjIyMnK9Tk4cHBzw8PDI87jcxJOXmPP70rYKFSpQoUIFQkJCGD16NJ6ennzxxRf06tUr2/6P8vfmr1JTUwkLC8tykhzAysoKNzc34uLi2LFjB9u3b2fAgAHMmDGDvXv3ZpsINxqNGI3Gvx2XiIiIiIiIiIg8u56Yk8LFixcnMDCQDz/8kBs3bmS5f/36dQBTaYOkpCTTvb++PCw7RYoU4c6dO1nanZ2dzeaJj4/P1WnTyMhI2rRpw6uvvoqfnx/ly5fnzJkzDx13/xzBwcG0a9eOKlWq4OLikuWlZg/j7e3NsWPH+PPPP01t917I93cUKVIEINtn9qhVrVqV77///m8laN3d3bGxsTH93mT3fefm98bb2ztLXeiHPU9/f3/i4uLw8PDIct1LRFtbW9O6dWvmzJnDnj17OHDgAMePH8/XXkVERERERERERB7miUkKw936snfu3KFGjRqsWbOG+Ph4YmNjmTNnjum/8VtbW1OrVi2mTp1KbGwse/fu5d13333gvO7u7qSmprJz505+++03U+K3cePGzJs3jyNHjhAVFUW/fv1yVcagYsWKbN++nf379xMbG8vrr7/OL7/8kqe9VqxYka+//pqYmBiOHj3KK6+8kucTwK+88goGg4G+ffty6tQpNm3axMyZM3M19ubNm1y+fNns+v333wEoUaIE1tbWbNmyhV9++YXk5OQ8xZUXAwcOJCUlhS5duhAVFUV8fDzLly/P8cV048aNY8SIEezZs4fz589z5MgRevfuTXp6Os2aNQPuft/nz58nJiaG3377jbS0tFz93vTr14/4+HiGDx9OXFwcq1atyvISvfu99957fPrpp4SFhXHy5EliY2P5/PPPTXNHRESwePFiTpw4wblz51ixYgXW1taULVv27z88ERERERERERGRbDxRSeHy5cvz448/0qhRI4YOHYqvry/NmjVj586dfPTRR6Z+S5Ys4fbt27z44osMHjyYiRMnPnDeOnXq0K9fPzp37oyzszPTp08HIDw8HDc3N+rVq8crr7zCsGHDsLGxeWic7777Lv7+/gQGBtKwYUNcXFxo27ZtnvY6a9YsihUrRp06dWjdujWBgYH4+/vnaQ47Ozu+/fZbjh8/zgsvvMDo0aMf+FK0v1q0aBGurq5mV9euXQGwtLRkzpw5LFy4kFKlStGmTZs8xZUXTk5O7Nq1i9TUVBo0aMCLL77IokWLckzON2jQgHPnztGjRw8qVapE8+bNuXz5Mtu2bTO9yK5Dhw4EBQXRqFEjnJ2d+eyzz4CH/96UKVOGNWvWsHbtWvz8/FiwYAGTJ09+YPyBgYFs2LCBbdu2Ub16dWrVqsX7779vSvo6OjqyaNEi6tatS9WqVdmxYwfffvstTk5Of/fRiYiIiIiIiIiIZMuQ+W9+g5uIPFBKSgoODg4kJydjb29f0OGIiIiIiIiIiEgByUue6Ik6KSwiIiIiIiIiIiIif49lQQcgIn+f79itWBgfXtrkSZI4tWVBhyAiIiIiIiIi8lTSSWERERERERERERGRZ4iSwvKvFhwcjMFgwGAwULhwYcqVK8eIESP4888/Czo0ERERERERERGRJ5LKR8i/XlBQEEuXLiU9PZ3o6Gh69uyJwWBg2rRpBR2aiIiIiIiIiIjIE0cnheVfz2g04uLigpubG23btqVp06Zs374dgLS0NAYNGkSJEiWwsrLipZde4vDhw6axe/bswWAwsHXrVl544QWsra1p3LgxV65cYfPmzXh7e2Nvb88rr7zCzZs3TeO2bNnCSy+9hKOjI05OTrRq1YqEhATT/cTERAwGA19//TWNGjXCxsYGPz8/Dhw4YBZ7ZGQkDRs2xMbGhmLFihEYGMjvv/8OQEZGBlOmTKFcuXJYW1vj5+fHV1999TgfpYiIiIiIiIiIiJLC8mQ5ceIE+/fvp0iRIgCMGDGCNWvWsGzZMn788Uc8PDwIDAzk2rVrZuPGjRvHvHnz2L9/PxcvXqRTp07Mnj2bVatWsXHjRrZt28bcuXNN/W/cuMGQIUOIiopi586dWFhY0K5dOzIyMszmHT16NMOGDSMmJgZPT0+6du3K7du3AYiJiaFJkyb4+Phw4MAB9u3bR+vWrblz5w4AU6ZM4dNPP2XBggWcPHmSt99+m1dffZW9e/fmuP+0tDRSUlLMLhERERERERERkbwwZGZmZhZ0ECI5CQ4OZsWKFVhZWXH79m3S0tKwsLBg9erVBAUFUaxYMSIiInjllVcASE9Px93dncGDBzN8+HD27NlDo0aN2LFjB02aNAFg6tSphIaGkpCQQPny5QHo168fiYmJbNmyJds4fvvtN5ydnTl+/Di+vr4kJiZSrlw5PvnkE/r06QPAqVOnqFy5MrGxsVSqVIlXXnmFCxcusG/fvizzpaWlUbx4cXbs2EHt2rVN7SEhIdy8eZNVq1ZlG8e4ceMICwvL0u42eDUWRps8PNl/v8SpLQs6BBERERERERGRJ0ZKSgoODg4kJydjb2//wL46KSz/eo0aNSImJoaDBw/Ss2dPevXqRYcOHUhISCA9PZ26deua+hYuXJgaNWoQGxtrNkfVqlVNP5csWRIbGxtTQvhe25UrV0yf4+Pj6dq1K+XLl8fe3h53d3cALly4kOO8rq6uAKZ57p0Uzs7Zs2e5efMmzZo1w87OznR9+umnZmUq7hcaGkpycrLpunjxYo59RUREREREREREsqMXzcm/nq2tLR4eHgAsWbIEPz8/Fi9eTPXq1XM9R+HChU0/GwwGs8/32v5aGqJ169aULVuWRYsWUapUKTIyMvD19eXWrVsPnBcwzWNtbZ1jPKmpqQBs3LiR0qVLm90zGo05jjMajQ+8LyIiIiIiIiIi8jA6KSxPFAsLC9555x3effddKlSoQJEiRYiMjDTdT09P5/Dhw/j4+OR7jatXrxIXF8e7775LkyZN8Pb2Nr0cLi+qVq3Kzp07s73n4+OD0WjkwoULeHh4mF1ubm75jl1ERERERERERORhdFJYnjgdO3Zk+PDhfPTRR/Tv35/hw4dTvHhxypQpw/Tp07l586apzm9+FCtWDCcnJz7++GNcXV25cOECo0aNyvM8oaGhVKlShQEDBtCvXz+KFCnC7t276dixI8899xzDhg3j7bffJiMjg5deeonk5GQiIyOxt7enZ8+e+Y5fRERERERERETkQZQUlieOpaUlAwcOZPr06Zw/f56MjAy6d+/O//73PwICAti6dSvFihXL9/wWFhZ8/vnnDBo0CF9fX7y8vJgzZw4NGzbM0zyenp5s27aNd955hxo1amBtbU3NmjXp2rUrABMmTMDZ2ZkpU6Zw7tw5HB0d8ff355133sl37CIiIiIiIiIiIg9jyMzMzCzoIEQkf/LyVkkREREREREREXl65SVPpJrCIiIiIiIiIiIiIs8QJYVFREREREREREREniGqKSzyFPAduxULo01Bh/FYJE5tWdAhiIiIiIiIiIg8VXRS+CHc3d2ZPXv2I52zYcOGDB48+JHO+U8aN24c1apVK+gwskhMTMRgMBATE/PI5nwc37+IiIiIiIiIiEhBeqKSwpcvX+att97Cw8MDKysrSpYsSd26dfnoo4+4efNmQYeXa19//TUTJkwo6DAemwclZx9VQjw4OJi2bduatbm5uZGUlISvr+/fnj8nBoOBtWvXPrb5RUREREREREREHrcnpnzEuXPnqFu3Lo6OjkyePJkqVapgNBo5fvw4H3/8MaVLl+bll1/O19x37tzBYDBgYfHP5MiLFy/+j6zzNLr3XWWnUKFCuLi4/MMR5c+tW7coUqRIQYchIiIiIiIiIiLPoCfmpPCAAQOwtLQkKiqKTp064e3tTfny5WnTpg0bN26kdevWpr6zZs2iSpUq2Nra4ubmxoABA0hNTTXdj4iIwNHRkfXr1+Pj44PRaOTChQtcuXKF1q1bY21tTbly5Vi5cmWWOK5fv05ISAjOzs7Y29vTuHFjjh49arp/r7TC8uXLcXd3x8HBgS5duvC///3P1Of+07Lu7u5MnjyZ3r17U7RoUcqUKcPHH39stu7+/fupVq0aVlZWBAQEsHbt2oeWSli+fDkBAQEULVoUFxcXXnnlFa5cuWK6v2fPHgwGAzt37iQgIAAbGxvq1KlDXFyc2TxTp06lZMmSFC1alD59+vDnn3/m/EXl0e+//06PHj0oVqwYNjY2NG/enPj4eNP97L6r3r17s2zZMtatW4fBYMBgMLBnz55sTyifPHmSVq1aYW9vT9GiRalXrx4JCQlA9qeW27ZtS3BwcLaxuru7A9CuXTsMBoPpc3anlgcPHkzDhg1Nnxs2bMjAgQMZPHgwzz33HIGBgQCcOHGC5s2bY2dnR8mSJenevTu//fZbnp+jiIiIiIiIiIhIbj0RSeGrV6+ybds23njjDWxtbbPt89fToxYWFsyZM4eTJ0+ybNkydu3axYgRI8z637x5k2nTpvHJJ59w8uRJSpQoQXBwMBcvXmT37t189dVXzJ8/3yyJCtCxY0euXLnC5s2biY6Oxt/fnyZNmnDt2jVTn4SEBNauXcuGDRvYsGEDe/fuZerUqQ/cY3h4OAEBARw5coQBAwbQv39/U3I2JSWF1q1bU6VKFX788UcmTJjAyJEjH/rc0tPTmTBhAkePHmXt2rUkJiZmm/AcPXo04eHhREVFYWlpSe/evU33Vq9ezbhx45g8eTJRUVG4uroyf/78h66dW8HBwURFRbF+/XoOHDhAZmYmLVq0ID093dTn/u9qzpw5dOrUiaCgIJKSkkhKSqJOnTpZ5v7vf/9L/fr1MRqN7Nq1i+joaHr37s3t27fzFevhw4cBWLp0KUlJSabPubVs2TKKFClCZGQkCxYs4Pr16zRu3JgXXniBqKgotmzZwi+//EKnTp1ynCMtLY2UlBSzS0REREREREREJC+eiPIRZ8+eJTMzEy8vL7P25557znRq9Y033mDatGkAWU7hTpw4kX79+pklM9PT05k/fz5+fn4AnDlzhs2bN3Po0CGqV68OwOLFi/H29jaN2bdvH4cOHeLKlSsYjUYAZs6cydq1a/nqq6947bXXAMjIyCAiIoKiRYsC0L17d3bu3MmkSZNy3GOLFi0YMGAAACNHjuT9999n9+7deHl5sWrVKgwGA4sWLcLKygofHx/++9//0rdv3wc+t78md8uXL8+cOXOoXr06qamp2NnZme5NmjSJBg0aADBq1ChatmzJn3/+iZWVFbNnz6ZPnz706dMHgIkTJ7Jjx45cnRauU6dOlpIcf/zxh+kldfHx8axfv57IyEhTUnflypW4ubmxdu1aOnbsCGT9rgCsra1JS0t7YLmIDz/8EAcHBz7//HMKFy4MgKen50PjzomzszMAjo6O+SpTUbFiRaZPn276PHHiRF544QUmT55saluyZAlubm6cOXMm21inTJlCWFhYPqIXERERERERERG564k4KZyTQ4cOERMTQ+XKlUlLSzO179ixgyZNmlC6dGmKFi1K9+7duXr1qtnL6IoUKULVqlVNn2NjY7G0tOTFF180tVWqVAlHR0fT56NHj5KamoqTkxN2dnam6/z586aSBHA3EX0vIQzg6uqa5cTx/f4ai8FgwMXFxTQmLi6OqlWrYmVlZepTo0aNhz6f6OhoWrduTZkyZShatKgp8XvhwoUc13Z1dQUwrR0bG0vNmjXN+teuXfuhawN88cUXxMTEmF0BAQGm+/ee+V/nd3JywsvLi9jYWFPb/d9VbsXExFCvXj1TQrig/fV3C+7+Pu3evdvsd6lSpUoAZr9PfxUaGkpycrLpunjx4mOPW0REREREREREni5PxElhDw8PDAZDllq35cuXB+6eGr0nMTGRVq1a0b9/fyZNmkTx4sXZt28fffr04datW9jY2JjG5PTCspykpqbi6urKnj17stz7a/L4/iSkwWAgIyPjgXPnZ8yD3Lhxg8DAQAIDA1m5ciXOzs5cuHCBwMBAbt26lePa957J31n7Hjc3Nzw8PMza/vpd5VZ+vqvcrGVhYUFmZqZZ21/LVuRWbue5v/RJamoqrVu3Np1w/6t7yfn7GY1G0yl1ERERERERERGR/HgiTgo7OTnRrFkz5s2bx40bNx7YNzo6moyMDMLDw6lVqxaenp5cunTpoWtUqlSJ27dvEx0dbWqLi4vj+vXrps/+/v5cvnwZS0tLPDw8zK7nnnsu3/t7GC8vL44fP252Gvph9WxPnz7N1atXmTp1KvXq1aNSpUoPPa2cHW9vbw4ePGjW9sMPP+R5npzmvn37ttn8V69eJS4uDh8fnweOLVKkCHfu3Hlgn6pVq/L999/nmOh1dnYmKSnJ9PnOnTucOHHigXMWLlw4y7r3zwM88AWA9/j7+3Py5Enc3d2z/D7lVDtbRERERERERETk73oiksIA8+fP5/bt2wQEBPDFF18QGxtLXFwcK1as4PTp0xQqVAi4e6o4PT2duXPncu7cOZYvX86CBQseOr+XlxdBQUG8/vrrHDx4kOjoaEJCQsxOmzZt2pTatWvTtm1btm3bRmJiIvv372f06NFERUU9tr2/8sorZGRk8NprrxEbG8vWrVuZOXMmQI4naMuUKUORIkVMz2H9+vVMmDAhz2u/9dZbLFmyhKVLl3LmzBnGjh3LyZMn/9Z+7qlYsSJt2rShb9++7Nu3j6NHj/Lqq69SunRp2rRp88Cx7u7uHDt2jLi4OH777bdsE78DBw4kJSWFLl26EBUVRXx8PMuXLzedOG/cuDEbN25k48aNnD59mv79+5v9ESCndXfu3Mnly5f5/fffTfNERUXx6aefEh8fz9ixYx+aXIa7dbCvXbtG165dOXz4MAkJCWzdupVevXo9NOEtIiIiIiIiIiKSX09MUrhChQocOXKEpk2bEhoaip+fHwEBAcydO5dhw4aZEp5+fn7MmjWLadOm4evry8qVK5kyZUqu1li6dCmlSpWiQYMGtG/fntdee40SJUqY7hsMBjZt2kT9+vXp1asXnp6edOnShZ9++omSJUs+ln0D2Nv/f+zde3zP9f//8dt7m51PLGwYMzvYmPMhkzPNMaeQFHNYJEmSQ4zNOWcSCm1IDkWSQ2I1MXLKUNassfjUitDWHGa2/f7w8/72toMNtXC/Xi6vy2Wv1+t5eDxfr3f/PHp6vBz5/PPPiY2NpUaNGowdO5bx48cDmNQZ/ruSJUsSGRnJxx9/jL+/P9OnTzcmkgujR48ehIaGMnLkSGrXrs3PP//Myy+/fF/r+buIiAhq165N+/btadCgAdnZ2Wzbtu2udYBDQkLw9fWlTp06lCxZkpiYmBxtXFxc+Oqrr0hLS6NJkybUrl2bpUuXGsfu168fffr0oXfv3jRp0gRPT0+aNWuW77yzZ89m586duLu7U7NmTQCCgoKMz6hu3br89ddf9O7d+65rL1OmDDExMWRmZvL0008TEBDAsGHDcHZ2zvGBPhERERERERERkQfFkH1nMVR5KKxevZq+ffuSkpJyT3V65dGQmpqKk5MTKSkpODo6FnU4IiIiIiIiIiJSRAqTJ3ooPjQnsHLlSjw9PSlbtizHjh1j1KhRdO/eXQlhERERERERERERKRQlhR8Sv/32G+PHj+e3337Dzc2Nbt26MWXKlKIOS0RERERERERERB4yKh8h8hC7/c8C3Ietx8zKtqjD+dclTW9X1CGIiIiIiIiIiPwnFKZ8hL5mJSIiIiIiIiIiIvIYUVJYHnrBwcEYDAYGDRqU494rr7yCwWAgODj4vueJjIzE2dn5vscREREREREREREpSkoKyyPB3d2dtWvXcu3aNeO169ev89FHH1G+fPkijCynzMxMsrKyijoMERERERERERF5TCkpLI+EWrVq4e7uzsaNG43XNm7cSPny5alZsyYAK1euxMXFhfT0dJO+nTp14sUXXwTg2LFjNGvWDAcHBxwdHalduzaHDx8mOjqavn37kpKSgsFgwGAwEBYWBkB6ejojRoygbNmy2NnZUb9+faKjo43j395hvHnzZvz9/bGysmLv3r0UK1aM3377zSSWYcOG0ahRo3/gCYmIiIiIiIiIiNyipLA8Mvr160dERITx/IMPPqBv377G827dupGZmcnmzZuN186fP8/WrVvp168fAL169aJcuXIcOnSII0eOMHr0aIoVK0ZgYCDz5s3D0dGR5ORkkpOTGTFiBABDhgxh//79rF27luPHj9OtWzdat25NQkKCcZ6rV6/y9ttvs2zZMn744Qfq1KmDp6cnq1atMrbJyMhg9erVxlhyk56eTmpqqskhIiIiIiIiIiJSGEoKyyPjhRdeYO/evfz888/8/PPPxMTE8MILLxjv29jY8Pzzz5skjj/88EPKly9P06ZNATh79iwtW7akcuXKeHt7061bN6pXr46lpSVOTk4YDAZcXV1xdXXF3t6es2fPEhERwccff0yjRo2oVKkSI0aM4KmnnjKZJyMjg0WLFhEYGIivry+2trb079/fpM3nn3/O9evX6d69e55rnDZtGk5OTsbD3d39AT5BERERERERERF5HCgpLI+MkiVL0q5dOyIjI4mIiKBdu3Y88cQTJm1CQkL48ssv+eWXX4BbpR1uf6gOYPjw4QwYMICWLVsyffp0EhMT853zxIkTZGZm4uPjg729vfHYvXu3SV9LS0uqVatm0jc4OJiffvqJb7/91hhL9+7dsbOzy3O+MWPGkJKSYjzOnTtX8AckIiIiIiIiIiICWBR1ACIPUr9+/RgyZAgA7777bo77NWvWpHr16qxcuZKnn36aH374ga1btxrvh4WF8fzzz7N161a2b9/OhAkTWLt2LZ07d851vrS0NMzNzTly5Ajm5uYm9+zt7Y1/29jYGBPPt5UqVYoOHToQERFBxYoV2b59u0kt4txYWVlhZWWVbxsREREREREREZH8KCksj5TWrVtz48YNDAYDQUFBubYZMGAA8+bN45dffqFly5Y5SjD4+Pjg4+PD66+/Ts+ePYmIiKBz585YWlqSmZlp0rZmzZpkZmZy/vz5e/pA3IABA+jZsyflypWjUqVKNGzYsNBjiIiIiIiIiIiIFIbKR8gjxdzcnLi4OE6ePJlj5+5tzz//PP/73/9YunSpyUfdrl27xpAhQ4iOjjbWJD506BB+fn4AeHh4kJaWRlRUFH/88QdXr17Fx8eHXr160bt3bzZu3MiZM2c4ePAg06ZNM9mBnJegoCAcHR2ZPHmyyUfxRERERERERERE/inaKSyPHEdHx3zvOzk50bVrV7Zu3UqnTp2M183Nzbl48SK9e/fm999/54knnqBLly6Eh4cDEBgYyKBBg+jRowcXL15kwoQJhIWFERERweTJk3njjTf45ZdfeOKJJ3jyySdp3779XWM1MzMjODiYqVOn0rt373te8/fhQXddt4iIiIiIiIiICIAhOzs7u6iDEPm3tWjRgipVqrBgwYKiDoX+/ftz4cIFNm/eXOi+qampODk5kZKSoqSwiIiIiIiIiMhjrDB5Iu0UlsfK5cuXiY6OJjo6mkWLFhVpLCkpKZw4cYKPPvronhLCIiIiIiIiIiIi90JJYXms1KxZk8uXL/P222/j6+tbpLF07NiRgwcPMmjQIFq1anVfY1WdsAMzK9sHFNmjLWl6u6IOQURERERERESkSOlDc3fh4eHBvHnzCtw+MjISZ2fnfyyegmratCnDhg0r6jDuicFgYNOmTf/I2ElJSaSkpDBixIgc9wr77qKjozEYDPz555/3FEt0dDRXr15l7ty599RfRERERERERETkXjzUSeELFy7w8ssvU758eaysrHB1dSUoKIiYmJgHNsehQ4d46aWXHth48GCTnnklJjdu3MikSZMeyBz/Vfv378fc3Jx27Qq/8zO3ZH+PHj04depUgccIDAwkOTkZJyenQs8vIiIiIiIiIiJSVB7q8hFdu3blxo0brFixAk9PT37//XeioqK4ePHiA5ujZMmSD2ysf1OJEiWKOoR/3PLly3n11VdZvnw5v/76K2XKlLmv8WxsbLCxsSlwe0tLS1xdXe9rThERERERERERkX/bQ7tT+M8//2TPnj28/fbbNGvWjAoVKlCvXj3GjBnDM888Y2x39uxZOnbsiL29PY6OjnTv3p3ff//dZKzPP/+cunXrYm1tzRNPPEHnzp2N9+7cUTpnzhwCAgKws7PD3d2dwYMHk5aWds/ryG2nb2xsLAaDgaSkJAB+/vlnOnToQPHixbGzs6NKlSps27aNpKQkmjVrBkDx4sUxGAwEBwcDOctHpKenM2rUKNzd3bGyssLLy4vly5cb73///fe0adMGe3t7HGxNFwAAsc1JREFUSpcuzYsvvsgff/yRZ9wXL16kZ8+elC1bFltbWwICAlizZo1Jm6ZNmzJ06FBGjhxJiRIlcHV1JSwszKRNQkICjRs3xtraGn9/f3bu3Fmg55aWlsa6det4+eWXadeuHZGRkTna5PVemzZtys8//8zrr7+OwWDAYDAApuUjTp06hcFg4McffzQZc+7cuVSqVAnI+e7yek9/b7tjxw5q1qyJjY0NzZs35/z582zfvh0/Pz8cHR15/vnnuXr1aoGegYiIiIiIiIiIyL14aJPC9vb22Nvbs2nTJtLT03Ntk5WVRceOHbl06RK7d+9m586dnD59mh49ehjbbN26lc6dO9O2bVuOHj1KVFQU9erVy3NeMzMzFixYwA8//MCKFSv46quvGDly5ANf39+98sorpKen880333DixAnefvtt7O3tcXd3Z8OGDQDEx8eTnJzM/Pnzcx2jd+/erFmzhgULFhAXF8d7772Hvb09cCvB3rx5c2rWrMnhw4f54osv+P333+nevXueMV2/fp3atWuzdetWvv/+e1566SVefPFFDh48aNJuxYoV2NnZceDAAWbMmMHEiRONid+srCy6dOmCpaUlBw4cYMmSJYwaNapAz2T9+vVUrlwZX19fXnjhBT744AOys7ON9/N7rxs3bqRcuXJMnDiR5ORkkpOTc4zv4+NDnTp1WL16tcn11atX8/zzz+caU17v6e/CwsJYuHAh+/bt49y5c3Tv3p158+bx0UcfsXXrVr788kveeeedPNednp5OamqqySEiIiIiIiIiIlIYD235CAsLCyIjIwkJCWHJkiXUqlWLJk2a8Nxzz1GtWjUAoqKiOHHiBGfOnMHd3R2AlStXUqVKFQ4dOkTdunWZMmUKzz33HOHh4caxq1evnue8f9996+HhweTJkxk0aBCLFi36ZxbKrd3OXbt2JSAgAABPT0/jvdtlIkqVKpXnR9JOnTrF+vXr2blzJy1btswxxsKFC6lZsyZTp041Xvvggw9wd3fn1KlT+Pj45BizbNmyJh9re/XVV9mxYwfr1683SapXq1aNCRMmAODt7c3ChQuJioqiVatW7Nq1ix9//JEdO3YYSz9MnTqVNm3a3PWZLF++nBdeeAGA1q1bk5KSwu7du2natClAvu+1RIkSmJub4+DgkG/5h169erFw4UJjbeZTp05x5MgRPvzww1zb5/eebps8eTINGzYEoH///owZM4bExERj22effZavv/46z+T4tGnTTNYkIiIiIiIiIiJSWA/tTmG4VVP4119/ZfPmzbRu3Zro6Ghq1aplLCUQFxeHu7u7MSEM4O/vj7OzM3FxccCtUg0tWrQo8Jy7du2iRYsWlC1bFgcHB1588UUuXrz4j/6T/6FDhxqTiRMmTOD48eOF6h8bG4u5uTlNmjTJ9f6xY8f4+uuvjbuv7e3tqVy5MgCJiYm59snMzGTSpEkEBARQokQJ7O3t2bFjB2fPnjVpdztBf5ubmxvnz58H/u/9/L0WcIMGDe66nvj4eA4ePEjPnj2BW/+DoEePHiblMAr7XnPz3HPPkZSUxLfffgvc2iVcq1Yt47O5U0He09+fR+nSpbG1tTVJHpcuXdr4fHIzZswYUlJSjMe5c+fudXkiIiIiIiIiIvKYeqiTwgDW1ta0atWK0NBQ9u3bR3BwsHFnakEU5sNiSUlJtG/fnmrVqrFhwwaOHDnCu+++C8CNGzcKHTvcKkcBmJQ+yMjIMGkzYMAATp8+zYsvvsiJEyeoU6dOviUG7nS3NaalpdGhQwdiY2NNjtv1fnMzc+ZM5s+fz6hRo/j666+JjY0lKCgox3MoVqyYybnBYCArK6vAsedm+fLl3Lx5kzJlymBhYYGFhQWLFy9mw4YNpKSkAIV7r3lxdXWlefPmfPTRRwB89NFH9OrVK8/2BXlPf38eBoOh0M/HysoKR0dHk0NERERERERERKQwHvqk8J38/f25cuUKAH5+fpw7d85kN+XJkyf5888/8ff3B27t3IyKiirQ2EeOHCErK4vZs2fz5JNP4uPjw6+//npf8ZYsWRLApK5tbGxsjnbu7u4MGjSIjRs38sYbb7B06VIALC0tgVs7d/MSEBBAVlYWu3fvzvV+rVq1+OGHH/Dw8MDLy8vksLOzy7VPTEwMHTt25IUXXqB69ep4enpy6tSpAq35ttvv5+9rv70rNy83b95k5cqVzJ492ySBfezYMcqUKWP82N3d3qulpWW+z+y2Xr16sW7dOvbv38/p06d57rnn8m2f13sSERERERERERH5r3hok8IXL16kefPmfPjhhxw/fpwzZ87w8ccfM2PGDDp27AhAy5YtCQgIoFevXnz33XccPHiQ3r1706RJE+rUqQPAhAkTWLNmDRMmTCAuLs74gbDceHl5kZGRwTvvvMPp06dZtWoVS5Ysua91eHl54e7uTlhYGAkJCWzdupXZs2ebtBk2bBg7duzgzJkzfPfdd3z99df4+fkBUKFCBQwGA1u2bOHChQukpaXlmMPDw4M+ffrQr18/Nm3axJkzZ4iOjmb9+vXArQ+kXbp0iZ49e3Lo0CESExPZsWMHffv2zTNx6u3tzc6dO9m3bx9xcXEMHDiQ33//vVBrb9myJT4+PvTp04djx46xZ88exo4dm2+fLVu2cPnyZfr370/VqlVNjq5duxpLSNztvXp4ePDNN9/wyy+/8Mcff+Q5X5cuXfjrr794+eWXadasmUmpizvl955ERERERERERET+Kx7apLC9vT3169dn7ty5NG7cmKpVqxIaGkpISAgLFy4Ebv1T/M8++4zixYvTuHFjWrZsiaenJ+vWrTOO07RpUz7++GM2b95MjRo1aN68OQcPHsx1zurVqzNnzhzefvttqlatyurVq5k2bVqh4r5dGsDC4tY3/ooVK8aaNWv48ccfqVatGm+//TaTJ0826ZOZmckrr7yCn58frVu3xsfHx/hhu7JlyxIeHs7o0aMpXbo0Q4YMyXXexYsX8+yzzzJ48GAqV65MSEiIcUd1mTJliImJITMzk6effpqAgACGDRuGs7OzsbzFncaNG0etWrUICgqiadOmuLq60qlTp0I9CzMzMz799FOuXbtGvXr1GDBgAFOmTMm3z/Lly2nZsiVOTk457nXt2pXDhw9z/Pjxu77XiRMnkpSURKVKlYy7tXPj4OBAhw4dOHbsWL6lIyD/9yQiIiIiIiIiIvJfYcj+ezFb+cf99ttvuLm5cejQIeNuZZF7lZqaipOTEykpKaovLCIiIiIiIiLyGCtMnsjiX4rpsZednc3PP//MrFmzKF26NFWrVi3qkEREREREREREROQxpKTwvyQlJQVfX1/8/PxYu3Yt1tbWRR2SiIiIiIiIiIiIPIaUFP6XODs7k56eXtRhyCOq6oQdmFnZFnUYD52k6e2KOgQRERERERERkX/dQ/uhOfl3REZG4uzsbDwPCwujRo0a+fZJSkrCYDAQGxv7wOIwGAxs2rTpgY13pzvXKSIiIiIiIiIi8qhSUvgRFxwcjMFgwGAwYGlpiZeXFxMnTuTmzZv3NN6IESOIiooyGb9Tp04mbdzd3UlOTv5X6yZfuHCBl19+mfLly2NlZYWrqytBQUHExMQUqH+PHj04derUPxyliIiIiIiIiIhI0VP5iMdA69atiYiIID09nW3btvHKK69QrFgxxowZU+ix7O3tsbe3z7eNubk5rq6u9xruPenatSs3btxgxYoVeHp68vvvvxMVFcXFixcL1N/GxgYbG5t/OEoREREREREREZGip53Cj4HbO2crVKjAyy+/TMuWLdm8eTMAly9fpnfv3hQvXhxbW1vatGlDQkJCnmP9vXxEWFgYK1as4LPPPjPuRo6Ojs61fMQPP/xA+/btcXR0xMHBgUaNGpGYmAjAoUOHaNWqFU888QROTk40adKE7777rsDr+/PPP9mzZw9vv/02zZo1o0KFCtSrV48xY8bwzDPPmLQbOHAgpUuXxtramqpVq7JlyxYg9/IRn332GbVq1cLa2hpPT0/Cw8NNdlgbDAaWLVtG586dsbW1xdvb2/hcC7JugGXLluHn54e1tTWVK1dm0aJFBV63iIiIiIiIiIjIvVBS+DFkY2PDjRs3gFvlHw4fPszmzZvZv38/2dnZtG3bloyMjLuOM2LECLp3707r1q1JTk4mOTmZwMDAHO1++eUXGjdujJWVFV999RVHjhyhX79+xgTrX3/9RZ8+fdi7dy/ffvst3t7etG3blr/++qtA67m9e3nTpk15fswvKyuLNm3aEBMTw4cffsjJkyeZPn065ubmubbfs2cPvXv35rXXXuPkyZO89957REZGMmXKFJN24eHhdO/enePHj9O2bVt69erFpUuXCrTu1atXM378eKZMmUJcXBxTp04lNDSUFStW5LnW9PR0UlNTTQ4REREREREREZHCUPmIx0h2djZRUVHs2LGDV199lYSEBDZv3kxMTIwxmbt69Wrc3d3ZtGkT3bp1y3c8e3t7bGxsSE9Pz7dcxLvvvouTkxNr166lWLFiAPj4+BjvN2/e3KT9+++/j7OzM7t376Z9+/Z3XZeFhQWRkZGEhISwZMkSatWqRZMmTXjuueeoVq0aALt27eLgwYPExcUZ5/b09MxzzPDwcEaPHk2fPn2MbSdNmsTIkSOZMGGCsV1wcDA9e/YEYOrUqSxYsICDBw/SunXru657woQJzJ49my5dugBQsWJFYwL69rx3mjZtGuHh4Xd9JiIiIiIiIiIiInnRTuHHwJYtW7C3t8fa2po2bdrQo0cPwsLCiIuLw8LCgvr16xvburi44OvrS1xc3AObPzY2lkaNGhkTo3f6/fffCQkJwdvbGycnJxwdHUlLS+Ps2bMFnqNr1678+uuvbN68mdatWxMdHU2tWrWIjIw0xlCuXDmTpGx+jh07xsSJE427kO3t7QkJCSE5OZmrV68a291OOgPY2dnh6OjI+fPn77ruK1eukJiYSP/+/U3mmDx5skl5iTuNGTOGlJQU43Hu3LkCrUdEREREREREROQ27RR+DDRr1ozFixdjaWlJmTJlsLD4d1/73T7g1qdPHy5evMj8+fOpUKECVlZWNGjQwFjioqCsra1p1aoVrVq1IjQ0lAEDBjBhwgSCg4ML/RG5tLQ0wsPDjbt475zntjsTvgaDgaysLCD/daelpQGwdOlSk6Q8kGdJC7hVH9rKyuruCxAREREREREREcmDksKPATs7O7y8vHJc9/Pz4+bNmxw4cMBYPuLixYvEx8fj7+9foLEtLS3JzMzMt021atVYsWIFGRkZue6ajYmJYdGiRbRt2xaAc+fO8ccffxRo/vz4+/uzadMmYwz/+9//OHXqVIF2C9eqVYv4+Phcn1tB5bfu0qVLU6ZMGU6fPk2vXr3ueQ4REREREREREZHCUvmIx5i3tzcdO3YkJCSEvXv3cuzYMV544QXKli1Lx44dCzSGh4cHx48fJz4+nj/++CPXD9QNGTKE1NRUnnvuOQ4fPkxCQgKrVq0iPj7eGMeqVauIi4vjwIED9OrVq1A7ey9evEjz5s358MMPOX78OGfOnOHjjz9mxowZxnU0adKExo0b07VrV3bu3MmZM2fYvn07X3zxRa5jjh8/npUrVxIeHs4PP/xAXFwca9euZdy4cQWO627rDg8PZ9q0aSxYsIBTp05x4sQJIiIimDNnToHnEBERERERERERKSwlhR9zERER1K5dm/bt29OgQQOys7PZtm1bnvV/7xQSEoKvry916tShZMmSxMTE5Gjj4uLCV199RVpaGk2aNKF27dosXbrUOMfy5cu5fPkytWrV4sUXX2To0KGUKlWqwGuwt7enfv36zJ07l8aNG1O1alVCQ0MJCQlh4cKFxnYbNmygbt269OzZE39/f0aOHJnnLuegoCC2bNnCl19+Sd26dXnyySeZO3cuFSpUKHBcd1v3gAEDWLZsGREREQQEBNCkSRMiIyOpWLFigecQEREREREREREpLEN2dnZ2UQchIvcmNTUVJycnUlJScHR0LOpwRERERERERESkiBQmT6SdwiIiIiIiIiIiIiKPESWFRURERERERERERB4jFkUdgIjcv6oTdmBmZVvUYTyUkqa3K+oQRERERERERET+VdopLA9EcHAwnTp1Kuow/pM8PDyYN29eUYchIiIiIiIiIiICKCksBRQcHIzBYMBgMGBpaYmXlxcTJ07k5s2bAMyfP5/IyMgCjZWUlITBYCA2NvafC/guIiMjjesxGAzY29tTu3ZtNm7cWGQxiYiIiIiIiIiI/BuUFJYCa926NcnJySQkJPDGG28QFhbGzJkzAXBycsLZ2flfj+nGjRv33NfR0ZHk5GSSk5M5evQoQUFBdO/enfj4+AcYoYiIiIiIiIiIyH+LksJSYFZWVri6ulKhQgVefvllWrZsyebNm4Gc5SOysrKYMWMGXl5eWFlZUb58eaZMmQJAxYoVAahZsyYGg4GmTZsC0LRpU4YNG2YyZ6dOnQgODjaee3h4MGnSJHr37o2joyMvvfQSAHv37qVRo0bY2Njg7u7O0KFDuXLlSr7rMRgMuLq64urqire3N5MnT8bMzIzjx48b21y+fJnevXtTvHhxbG1tadOmDQkJCSbjbNiwgSpVqmBlZYWHhwezZ8/Od95ly5bh7OxMVFQUAJ988gkBAQHY2Njg4uJCy5Yt7xq7iIiIiIiIiIjIvVJSWO6ZjY1Nnjt1x4wZw/Tp0wkNDeXkyZN89NFHlC5dGoCDBw8CsGvXLpKTkwtdsmHWrFlUr16do0ePEhoaSmJiIq1bt6Zr164cP36cdevWsXfvXoYMGVLgMTMzM1mxYgUAtWrVMl4PDg7m8OHDbN68mf3795OdnU3btm3JyMgA4MiRI3Tv3p3nnnuOEydOEBYWRmhoaJ6lNGbMmMHo0aP58ssvadGiBcnJyfTs2ZN+/foRFxdHdHQ0Xbp0ITs7O9f+6enppKammhwiIiIiIiIiIiKFYVHUAcjDJzs7m6ioKHbs2MGrr76a4/5ff/3F/PnzWbhwIX369AGgUqVKPPXUUwCULFkSABcXF1xdXQs9f/PmzXnjjTeM5wMGDKBXr17GXcbe3t4sWLCAJk2asHjxYqytrXMdJyUlBXt7ewCuXbtGsWLFeP/996lUqRIACQkJbN68mZiYGAIDAwFYvXo17u7ubNq0iW7dujFnzhxatGhBaGgoAD4+Ppw8eZKZM2ea7HAGGDVqFKtWrWL37t1UqVIFgOTkZG7evEmXLl2oUKECAAEBAXmufdq0aYSHhxfyiYmIiIiIiIiIiPwfJYWlwLZs2YK9vT0ZGRlkZWXx/PPPExYWlqNdXFwc6enptGjR4h+Jo06dOibnx44d4/jx46xevdp4LTs7m6ysLM6cOYOfn1+u4zg4OPDdd98BcPXqVXbt2sWgQYNwcXGhQ4cOxMXFYWFhQf369Y19XFxc8PX1JS4uDri11o4dO5qM27BhQ+bNm0dmZibm5uYAzJ49mytXrnD48GE8PT2NbatXr06LFi0ICAggKCiIp59+mmeffZbixYvnGvOYMWMYPny48Tw1NRV3d/e7PjMREREREREREZHbVD5CCqxZs2bExsaSkJDAtWvXWLFiBXZ2djna2djY3NP4ZmZmOcom3C7T8Hd3zpmWlsbAgQOJjY01HseOHSMhIcG46zev+by8vPDy8qJatWoMHz6cpk2b8vbbb99T/Plp1KgRmZmZrF+/3uS6ubk5O3fuZPv27fj7+/POO+/g6+vLmTNnch3HysoKR0dHk0NERERERERERKQwlBSWArOzs8PLy4vy5ctjYZH3JnNvb29sbGyMH1K7k6WlJXCrju/flSxZkuTkZON5ZmYm33///V3jqlWrFidPnjQmeP9+3J6roMzNzbl27RoAfn5+3Lx5kwMHDhjvX7x4kfj4ePz9/Y1tYmJiTMaIiYnBx8fHuEsYoF69emzfvp2pU6cya9Ysk/YGg4GGDRsSHh7O0aNHsbS05NNPPy1U3CIiIiIiIiIiIgWl8hHywFlbWzNq1ChGjhyJpaUlDRs25MKFC/zwww/079+fUqVKYWNjwxdffEG5cuWwtrbGycmJ5s2bM3z4cLZu3UqlSpWYM2cOf/75513nGzVqFE8++SRDhgxhwIAB2NnZcfLkSXbu3MnChQvz7Jednc1vv/0G3KopvHPnTnbs2MH48eOBW8ntjh07EhISwnvvvYeDgwOjR4+mbNmyxpIRb7zxBnXr1mXSpEn06NGD/fv3s3DhQhYtWpRjvsDAQLZt20abNm2wsLBg2LBhHDhwgKioKJ5++mlKlSrFgQMHuHDhQp4lL0RERERERERERO6XksLyjwgNDcXCwoLx48fz66+/4ubmxqBBgwCwsLBgwYIFTJw4kfHjx9OoUSOio6Pp168fx44do3fv3lhYWPD666/TrFmzu85VrVo1du/ezdixY2nUqBHZ2dlUqlSJHj165NsvNTUVNzc34FZZhgoVKjBx4kRGjRplbBMREcFrr71G+/btuXHjBo0bN2bbtm0UK1YMuLVLef369YwfP55Jkybh5ubGxIkTc3xk7rannnqKrVu30rZtW8zNzWnZsiXffPMN8+bNIzU1lQoVKjB79mzatGlTkMds9H14kEpJiIiIiIiIiIhIgRiy7yziKiIPjdTUVJycnEhJSVFSWERERERERETkMVaYPJFqCouIiIiIiIiIiIg8RlQ+QuQRUHXCDsysbIs6jIdW0vR2RR2CiIiIiIiIiMi/RjuFH2MGg4FNmzbleT86OhqDwWD82FtkZCTOzs75jhkWFkaNGjUeWIyPAg8PD+bNm1fUYYiIiIiIiIiIiABKCj+yfvvtN1599VU8PT2xsrLC3d2dDh06EBUVVeAxAgMDSU5OxsnJ6R+M9N41bdqUyMjIe+obGRmJwWAwHvb29tSuXZuNGzc+2CBFRERERERERET+Y1Q+4hGUlJREw4YNcXZ2ZubMmQQEBJCRkcGOHTt45ZVX+PHHHws0jqWlJa6urg80ths3bmBpaflAx7xXjo6OxMfHA/DXX38RERFB9+7d+eGHH/D19S3i6ERERERERERERP4Z2in8CBo8eDAGg4GDBw/StWtXfHx8qFKlCsOHD+fbb781afvHH3/QuXNnbG1t8fb2ZvPmzcZ7d5aPyM306dMpXbo0Dg4O9O/fn+vXr5vcDw4OplOnTkyZMoUyZcoYk63nzp2je/fuODs7U6JECTp27EhSUlKOfrNmzcLNzQ0XFxdeeeUVMjIyco0jOzubsLAwypcvj5WVFWXKlGHo0KH5PieDwYCrqyuurq54e3szefJkzMzMOH78uLHN5cuX6d27N8WLF8fW1pY2bdqQkJBgMs6GDRuoUqUKVlZWeHh4MHv27HznXbZsGc7OzsZd25988gkBAQHY2Njg4uJCy5YtuXLlSr5jiIiIiIiIiIiI3CslhR8xly5d4osvvuCVV17Bzs4ux/07awKHh4fTvXt3jh8/Ttu2benVqxeXLl0q0Fzr168nLCyMqVOncvjwYdzc3Fi0aFGOdlFRUcTHx7Nz5062bNlCRkYGQUFBODg4sGfPHmJiYrC3t6d169bcuHHD2O/rr78mMTGRr7/+mhUrVhAZGZlnuYgNGzYwd+5c3nvvPRISEti0aRMBAQEFWgdAZmYmK1asAKBWrVrG68HBwRw+fJjNmzezf/9+srOzadu2rTE5feTIEbp3785zzz3HiRMnCAsLIzQ0NM84Z8yYwejRo/nyyy9p0aIFycnJ9OzZk379+hEXF0d0dDRdunQhOzs71/7p6emkpqaaHCIiIiIiIiIiIoWh8hGPmJ9++ons7GwqV65coPbBwcH07NkTgKlTp7JgwQIOHjxI69at79p33rx59O/fn/79+wMwefJkdu3alWO3sJ2dHcuWLTOWjfjwww/Jyspi2bJlGAwGACIiInB2diY6Opqnn34agOLFi7Nw4ULMzc2pXLky7dq1IyoqipCQEODWTubbzp49i6urKy1btqRYsWKUL1+eevXq5Rt/SkoK9vb2AFy7do1ixYrx/vvvU6lSJQASEhLYvHkzMTExBAYGArB69Wrc3d3ZtGkT3bp1Y86cObRo0YLQ0FAAfHx8OHnyJDNnziQ4ONhkvlGjRrFq1Sp2795NlSpVAEhOTubmzZt06dKFChUqAOSbzJ42bRrh4eH5rktERERERERERCQ/2in8iMlrh2leqlWrZvzbzs4OR0dHzp8/X6C+cXFx1K9f3+RagwYNcrQLCAgwqSN87NgxfvrpJxwcHLC3t8fe3p4SJUpw/fp1EhMTje2qVKmCubm58dzNzS3P2Lp168a1a9fw9PQkJCSETz/9lJs3b+Ybv4ODA7GxscTGxnL06FGmTp3KoEGD+Pzzz43rs7CwMFmji4sLvr6+xMXFGds0bNjQZNyGDRuSkJBAZmam8drs2bNZunQpe/fuNSaEAapXr06LFi0ICAigW7duLF26lMuXL+cZ85gxY0hJSTEe586dy3eNIiIiIiIiIiIid1JS+BHj7e2NwWAo8MfkihUrZnJuMBjIysp6oDHdWcYiLS2N2rVrGxOyt49Tp07x/PPP31Ns7u7uxMfHs2jRImxsbBg8eDCNGzfOswYxgJmZGV5eXnh5eVGtWjWGDx9O06ZNefvtt+9jtblr1KgRmZmZrF+/3uS6ubk5O3fuZPv27fj7+/POO+/g6+vLmTNnch3HysoKR0dHk0NERERERERERKQwlBR+xJQoUYKgoCDefffdXD9Wlt9H4wrLz8+PAwcOmFy780N2ualVqxYJCQmUKlXKmJS9fTg5Od1zPDY2NnTo0IEFCxYQHR3N/v37OXHiRKHGMDc359q1a8Ct9d28edNkjRcvXiQ+Ph5/f39jm5iYGJMxYmJi8PHxMdnlXK9ePbZv387UqVOZNWuWSXuDwUDDhg0JDw/n6NGjWFpa8umnnxYqbhERERERERERkYJSUvgR9O6775KZmUm9evXYsGEDCQkJxMXFsWDBglzLO9yr1157jQ8++ICIiAhOnTrFhAkT+OGHH+7ar1evXjzxxBN07NiRPXv2cObMGaKjoxk6dCj/+9//7imWyMhIli9fzvfff8/p06f58MMPsbGxMdbpzU12dja//fYbv/32G2fOnOH9999nx44ddOzYEbi167pjx46EhISwd+9ejh07xgsvvEDZsmWNbd544w2ioqKYNGkSp06dYsWKFSxcuJARI0bkmC8wMJBt27YRHh7OvHnzADhw4IDxQ31nz55l48aNXLhwAT8/v3t6DiIiIiIiIiIiInejD809gjw9Pfnuu++YMmUKb7zxBsnJyZQsWZLatWuzePHiBzZPjx49SExMZOTIkVy/fp2uXbvy8ssvs2PHjnz72dra8s033zBq1Ci6dOnCX3/9RdmyZWnRosU9l0NwdnZm+vTpDB8+nMzMTAICAvj8889xcXHJs09qaipubm7ArbIMFSpUYOLEiYwaNcrYJiIigtdee4327dtz48YNGjduzLZt24ylLWrVqsX69esZP348kyZNws3NjYkTJ+b4yNxtTz31FFu3bqVt27aYm5vTsmVLvvnmG+bNm0dqaioVKlRg9uzZtGnT5p6eg4iIiIiIiIiIyN0Ysgv7ZTIR+c9ITU3FycmJlJQU1RcWEREREREREXmMFSZPpPIRIiIiIiIiIiIiIo8RJYVFREREREREREREHiOqKSzyCKg6YQdmVrZFHcYjJWl6u6IOQURERERERETkH6Gdwo+Qpk2bMmzYsCKZe9OmTXh5eWFubl4kMXh4eDBv3rx/fV4REREREREREZGHzUORFA4ODsZgMGAwGChWrBilS5emVatWfPDBB2RlZRV1eA+NyMhI43M0MzOjXLly9O3bl/Pnz9/32AMHDuTZZ5/l3LlzTJo06QFEWziHDh3ipZde+tfmmzZtGubm5sycObPAfYoyaS8iIiIiIiIiInLbQ5EUBmjdujXJyckkJSWxfft2mjVrxmuvvUb79u25efNmnv0yMjL+xSj/+xwdHUlOTuZ///sfS5cuZfv27bz44ov3PF5GRgZpaWmcP3+eoKAgypQpg4ODwz2NdePGjXuOo2TJktja/nvlEz744ANGjhzJBx98cNe297MuERERERERERGRB+2hSQpbWVnh6upK2bJlqVWrFm+99RafffYZ27dvJzIy0tjOYDCwePFinnnmGezs7JgyZQqZmZn079+fihUrYmNjg6+vL/PnzzcZPzg4mE6dOjF16lRKly6Ns7MzEydO5ObNm7z55puUKFGCcuXKERERYdJv1KhR+Pj4YGtri6enJ6GhoXdNRN+tT1hYGDVq1GDVqlV4eHjg5OTEc889x19//WVsc+XKFXr37o29vT1ubm7Mnj27QM/RYDDg6upKmTJlaNOmDUOHDmXXrl1cu3YNgGXLluHn54e1tTWVK1dm0aJFxr5JSUkYDAbWrVtHkyZNsLa2ZvXq1cYkcPPmzTEYDERHRwOwYcMGqlSpgpWVFR4eHjli9PDwYNKkSfTu3RtHR0deeuklIiMjcXZ2ZsuWLfj6+mJra8uzzz7L1atXWbFiBR4eHhQvXpyhQ4eSmZlpMtbfy0cYDAaWLVtG586dsbW1xdvbm82bN5vMv3nzZry9vbG2tqZZs2asWLECg8HAn3/+me8z3L17N9euXWPixImkpqayb98+k/u339+yZcuoWLEi1tbWBAcHs3v3bubPn2/crZ2UlMTly5fp1asXJUuWxMbGBm9v7xy/MRERERERERERkQfpof7QXPPmzalevTobN25kwIABxuthYWFMnz6defPmYWFhQVZWFuXKlePjjz/GxcWFffv28dJLL+Hm5kb37t2N/b766ivKlSvHN998Q0xMDP3792ffvn00btyYAwcOsG7dOgYOHEirVq0oV64cAA4ODkRGRlKmTBlOnDhBSEgIDg4OjBw5Ms+4C9InMTGRTZs2sWXLFi5fvkz37t2ZPn06U6ZMAeDNN99k9+7dfPbZZ5QqVYq33nqL7777jho1ahTqGdrY2JCVlcXNmzdZvXo148ePZ+HChdSsWZOjR48SEhKCnZ0dffr0MfYZPXo0s2fPpmbNmpiZmREfH4+vry8bNmwgMDCQEiVKcOTIEbp3705YWBg9evRg3759DB48GBcXF4KDg41jzZo1i/HjxzNhwgQA9uzZw9WrV1mwYAFr167lr7/+okuXLnTu3BlnZ2e2bdvG6dOn6dq1Kw0bNqRHjx55ri08PJwZM2Ywc+ZM3nnnHXr16sXPP/9MiRIlOHPmDM8++yyvvfYaAwYM4OjRo4wYMaJAz2z58uX07NmTYsWK0bNnT5YvX05gYKBJm59++okNGzawceNGzM3NqVChAqdOnaJq1apMnDgRuLW7+bXXXuPkyZNs376dJ554gp9++smYoM9Neno66enpxvPU1NQCxSwiIiIiIiIiInLbQ50UBqhcuTLHjx83ufb888/Tt29fk2vh4eHGvytWrMj+/ftZv369SVK4RIkSLFiwADMzM3x9fZkxYwZXr17lrbfeAmDMmDFMnz6dvXv38txzzwEwbtw4Y38PDw9GjBjB2rVr800KF6RPVlYWkZGRxl24L774IlFRUUyZMoW0tDSWL1/Ohx9+SIsWLQBYsWKFMVFdUAkJCSxZsoQ6derg4ODAhAkTmD17Nl26dDE+p5MnT/Lee++ZJIWHDRtmbAMYd9aWKFECV1dXAObMmUOLFi0IDQ0FwMfHh5MnTzJz5kyTpHDz5s154403jOd79uwhIyODxYsXU6lSJQCeffZZVq1axe+//469vT3+/v40a9aMr7/+Ot+kcHBwMD179gRg6tSpLFiwgIMHD9K6dWvee+89fH19jTWBfX19+f77741J97ykpqbyySefsH//fgBeeOEFGjVqxPz587G3tze2u3HjBitXrqRkyZLGa5aWltja2hqfEcDZs2epWbMmderUAW79HvIzbdo0k9+yiIiIiIiIiIhIYT005SPykp2djcFgMLl2O8H2d++++y61a9emZMmS2Nvb8/7773P27FmTNlWqVMHM7P8eSenSpQkICDCem5ub4+LiYvJhtnXr1tGwYUNcXV2xt7dn3LhxOca9U0H6eHh4mNTmdXNzM86bmJjIjRs3qF+/vvF+iRIl8PX1zXdegJSUFOzt7bG1tcXX15fSpUuzevVqrly5QmJiIv3798fe3t54TJ48mcTERJMxcnu+d4qLi6Nhw4Ym1xo2bEhCQoJJ2YfcxrK1tTUmhOHWe/Dw8DBJupYuXfquH8irVq2a8W87OzscHR2NfeLj46lbt65J+3r16t11XWvWrKFSpUpUr14dgBo1alChQgXWrVtn0q5ChQomCeG8vPzyy6xdu5YaNWowcuTIHKUo7jRmzBhSUlKMx7lz5+46h4iIiIiIiIiIyN899EnhuLg4KlasaHLNzs7O5Hzt2rWMGDGC/v378+WXXxIbG0vfvn1zfACsWLFiJucGgyHXa1lZWQDs37+fXr160bZtW7Zs2cLRo0cZO3Zsvh8WK2if/Oa9Hw4ODsTGxvL9999z5coVvvnmG3x8fEhLSwNg6dKlxMbGGo/vv/+eb7/91mSMO5/v/chtrMK+h7z8E89w+fLl/PDDD1hYWBiPkydP5vjgXEGfUZs2bfj55595/fXX+fXXX2nRokW+ZSysrKxwdHQ0OURERERERERERArjoS4f8dVXX3HixAlef/31fNvFxMQQGBjI4MGDjdfu3P16L/bt20eFChUYO3as8drPP//8wPvcqVKlShQrVowDBw5Qvnx5AC5fvsypU6do0qRJvn3NzMzw8vLKcb106dKUKVOG06dP06tXr0LFkxs/Pz9iYmJMrsXExODj44O5ufl9j3+/fH192bZtm8m1Q4cO5dvnxIkTHD58mOjoaEqUKGG8funSJZo2bcqPP/5I5cqV8+xvaWlpskv6tpIlS9KnTx/69OlDo0aNePPNN5k1a1YhVyQiIiIiIiIiIlIwD01SOD09nd9++43MzEx+//13vvjiC6ZNm0b79u3p3bt3vn29vb1ZuXIlO3bsoGLFiqxatYpDhw7l2GFcWN7e3pw9e5a1a9dSt25dtm7dyqeffvrA+9zJ3t6e/v378+abb+Li4kKpUqUYO3asSemLexEeHs7QoUNxcnKidevWpKenc/jwYS5fvszw4cMLNdYbb7xB3bp1mTRpEj169GD//v0sXLiQRYsW3VeMD8rAgQOZM2cOo0aNon///sTGxhIZGQmQoxzJbcuXL6devXo0btw4x726deuyfPlyY43i3Hh4eHDgwAGSkpKwt7enRIkShIWFUbt2bapUqUJ6ejpbtmzBz8/vgaxRREREREREREQkNw9N+YgvvvgCNzc3PDw8aN26NV9//TULFizgs88+u+vO04EDB9KlSxd69OhB/fr1uXjxosmu4Xv1zDPP8PrrrzNkyBBq1KjBvn37jB9We5B9cjNz5kwaNWpEhw4daNmyJU899RS1a9e+16UAMGDAAJYtW0ZERAQBAQE0adKEyMjIe0qe16pVi/Xr17N27VqqVq3K+PHjmThxoslH5opSxYoV+eSTT9i4cSPVqlVj8eLFxt3bVlZWOdrfuHGDDz/8kK5du+Y6XteuXVm5ciUZGRl5zjlixAjMzc3x9/enZMmSnD17FktLS8aMGUO1atVo3Lgx5ubmrF279sEsUkREREREREREJBeG7Ozs7KIOQuS/YMqUKSxZsuSh+nhbamoqTk5OpKSkqL6wiIiIiIiIiMhjrDB5ooemfITIg7Zo0SLq1q2Li4sLMTExzJw5kyFDhhR1WCIiIiIiIiIiIv8oJYXlsZWQkMDkyZO5dOkS5cuX54033mDMmDFFHZaIiIiIiIiIiMg/SuUjRB5it/9ZgPuw9ZhZ2RZ1OI+kpOntijoEEREREREREZG7Kkz5iIfmQ3Py+EpKSsJgMBAbG1vUoRRYcHAwnTp1KuowREREREREREREclBSWIpccHAwBoPBeLi4uNC6dWuOHz8OgLu7O8nJyVStWrWIIxUREREREREREXn4KSks/wmtW7cmOTmZ5ORkoqKisLCwoH379gCYm5vj6uqKhcU/WwL7xo0b/+j4IiIiIiIiIiIi/wVKCst/gpWVFa6urri6ulKjRg1Gjx7NuXPnuHDhQq7lI3bv3k29evWwsrLCzc2N0aNHc/PmTeP9v/76i169emFnZ4ebmxtz586ladOmDBs2zNjGw8ODSZMm0bt3bxwdHXnppZcAGDVqFD4+Ptja2uLp6UloaCgZGRnGfmFhYdSoUYP33nsPd3d3bG1t6d69OykpKTnWNWvWLNzc3HBxceGVV14xjjNx4sRcdz7XqFGD0NDQPJ9Teno6qampJoeIiIiIiIiIiEhhKCks/zlpaWl8+OGHeHl54eLikuP+L7/8Qtu2balbty7Hjh1j8eLFLF++nMmTJxvbDB8+nJiYGDZv3szOnTvZs2cP3333XY6xZs2aRfXq1Tl69KgxGevg4EBkZCQnT55k/vz5LF26lLlz55r0++mnn1i/fj2ff/45X3zxBUePHmXw4MEmbb7++msSExP5+uuvWbFiBZGRkURGRgLQr18/4uLiOHTokLH90aNHOX78OH379s3z2UybNg0nJyfj4e7ufvcHKiIiIiIiIiIi8jf/7L/HFymgLVu2YG9vD8CVK1dwc3Njy5YtmJnl/P8WixYtwt3dnYULF2IwGKhcuTK//voro0aNYvz48Vy5coUVK1bw0Ucf0aJFCwAiIiIoU6ZMjrGaN2/OG2+8YXJt3Lhxxr89PDwYMWIEa9euZeTIkcbr169fZ+XKlZQtWxaAd955h3bt2jF79mxcXV0BKF68OAsXLsTc3JzKlSvTrl07oqKiCAkJoVy5cgQFBREREUHdunWNMTZp0gRPT888n9OYMWMYPny48Tw1NVWJYRERERERERERKRTtFJb/hGbNmhEbG0tsbCwHDx4kKCiINm3a8PPPP+doGxcXR4MGDTAYDMZrDRs2JC0tjf/973+cPn2ajIwM6tWrZ7zv5OSEr69vjrHq1KmT49q6deto2LAhrq6u2NvbM27cOM6ePWvSpnz58saEMECDBg3IysoiPj7eeK1KlSqYm5sbz93c3Dh//rzxPCQkhDVr1nD9+nVu3LjBRx99RL9+/fJ9TlZWVjg6OpocIiIiIiIiIiIihaGksPwn2NnZ4eXlhZeXF3Xr1mXZsmVcuXKFpUuX/uPz/t3+/fvp1asXbdu2ZcuWLRw9epSxY8fe00foihUrZnJuMBjIysoynnfo0AErKys+/fRTPv/8czIyMnj22WfvbSEiIiIiIiIiIiIFpPIR8p9kMBgwMzPj2rVrOe75+fmxYcMGsrOzjbuFY2JicHBwoFy5chQvXpxixYpx6NAhypcvD0BKSgqnTp2icePG+c67b98+KlSowNixY43XctutfPbsWX799VdjSYpvv/0WMzOzXHcj58XCwoI+ffoQERGBpaUlzz33HDY2NgXuLyIiIiIiIiIici+UFJb/hPT0dH777TcALl++zMKFC0lLS6NDhw452g4ePJh58+bx6quvMmTIEOLj45kwYQLDhw/HzMwMBwcH+vTpw5tvvkmJEiUoVaoUEyZMwMzMzKTkRG68vb05e/Ysa9eupW7dumzdupVPP/00Rztra2v69OnDrFmzSE1NZejQoXTv3t1YT7igBgwYgJ+fH3ArsS0iIiIiIiIiIvJPU1JY/hO++OIL3NzcAHBwcKBy5cp8/PHHNG3alKSkJJO2ZcuWZdu2bbz55ptUr16dEiVK0L9/f5MPxM2ZM4dBgwbRvn17HB0dGTlyJOfOncPa2jrfOJ555hlef/11hgwZQnp6Ou3atSM0NJSwsDCTdl5eXnTp0oW2bdty6dIl2rdvz6JFiwq9bm9vbwIDA7l06RL169cvdP/bvg8PUn1hEREREREREREpEEN2dnZ2UQch8k+7cuUKZcuWZfbs2fTv3/++xgoLC2PTpk3Exsbed1zZ2dl4e3szePBghg8fXuj+qampODk5kZKSoqSwiIiIiIiIiMhjrDB5Iu0UlkfS0aNH+fHHH6lXrx4pKSlMnDgRgI4dOxZxZP/nwoULrF27lt9++42+ffsWdTgiIiIiIiIiIvKYUFJYHlmzZs0iPj4eS0tLateuzZ49e3jiiSeKOiyjUqVK8cQTT/D+++9TvHjx+xqr6oQdmFnZPqDIpKglTW9X1CGIiIiIiIiIyCPMrKgDkLszGAxs2rSpyPo/jGrWrMmRI0dIS0vj0qVL7Ny5kw4dOjBv3rx8+4WFhVGjRo27trldOuJ+nm12djYXLlzg+eefv6f+IiIiIiIiIiIi96JIk8LBwcEYDIYcR+vWrYsyrIdOcHAwnTp1yvN+cnIybdq0ASApKQmDwfBA6uEWhezsbN5//33q16+Pvb09zs7O1KlTh3nz5nH16tV8+x46dIiXXnrJeJ5bQnfEiBFERUUVOJ6/P1sREREREREREZGHQZGXj2jdujUREREm16ysrIoomkeTq6vrPzJuRkYGxYoVK3S/GzduYGlpeU9zvvjii2zcuJFx48axcOFCSpYsybFjx5g3bx4eHh65Jsdvz1eyZMm7jm9vb4+9vX2B4/mnnq2IiIiIiIiIiMg/pcjLR1hZWeHq6mpy3K6vmp2dTVhYGOXLl8fKyooyZcowdOhQY99Fixbh7e2NtbU1pUuX5tlnnzXe++KLL3jqqadwdnbGxcWF9u3bk5iYaLzfvHlzhgwZYhLLhQsXsLS0NO4UzW/8O128eJGePXtStmxZbG1tCQgIYM2aNSZtmjZtytChQxk5ciQlSpTA1dWVsLAwkzYJCQk0btwYa2tr/P392blzZ+EeaC7+viO2YsWKwK3yCgaDgaZNmxrbLVu2DD8/P6ytralcuTKLFi0y3ru9w3jdunU0adIEa2trVq9eXeB1DxkyhGHDhvHEE08QFBREv379aN++vUm7jIwMSpUqxfLly3Ndx/r161m9ejVr1qzhrbfeom7dunh4eNCxY0e++uormjVrBvzfzukpU6ZQpkwZfH19AfDw8DCWj/Dw8ACgc+fOGAwG43lu5SM++OADqlSpgpWVFW5ubia/m78/2xs3bjBkyBDc3NywtramQoUKTJs2zaTte++9R/v27bG1tcXPz4/9+/fz008/0bRpU+zs7AgMDDT5nYqIiIiIiIiIiDxoRb5TOD8bNmxg7ty5rF27lipVqvDbb79x7NgxAA4fPszQoUNZtWoVgYGBXLp0iT179hj7XrlyheHDh1OtWjXS0tIYP348nTt3JjY2FjMzMwYMGMCQIUOYPXu2cWfyhx9+SNmyZWnevPldx7/T9evXqV27NqNGjcLR0ZGtW7fy4osvUqlSJerVq2dst2LFCoYPH86BAwfYv38/wcHBNGzYkFatWpGVlUWXLl0oXbo0Bw4cICUlhWHDhj3QZ3rw4EHq1avHrl27qFKlinHH7urVqxk/fjwLFy6kZs2aHD16lJCQEOzs7OjTp4+x/+jRo5k9ezY1a9bE2tq6UOt++eWXiYmJAW4l0Rs3bkxycjJubm4AbNmyhatXr9KjR49cY1+9ejW+vr507Ngxxz2DwYCTk5PxPCoqCkdHxzyT6ocOHaJUqVJERETQunVrzM3Nc223ePFihg8fzvTp02nTpg0pKSnGNdxpwYIFbN68mfXr11O+fHnOnTvHuXPnTNpMmjSJOXPmMGfOHEaNGsXzzz+Pp6cnY8aMoXz58vTr148hQ4awffv2XOdIT08nPT3deJ6ampprOxERERERERERkbwUeVJ4y5YtOf65/ltvvcVbb73F2bNncXV1pWXLlhQrVozy5csbE41nz57Fzs6O9u3b4+DgQIUKFahZs6ZxjK5du5qM+cEHH1CyZElOnjxJ1apV6dKlC0OGDOGzzz6je/fuAERGRhrrHN9t/DuVLVuWESNGGM9fffVVduzYwfr1602So9WqVWPChAkAeHt7s3DhQqKiomjVqhW7du3ixx9/ZMeOHZQpUwaAqVOnPtCatbdLKLi4uJiUPpgwYQKzZ8+mS5cuwK0dxSdPnuS9994zSQoPGzbM2Oa2gqzb29ubGTNmmPTz9fVl1apVjBw5EoCIiAi6deuWZ/mGhIQE467fu7Gzs2PZsmV5lqm4/RycnZ3zLQExefJk3njjDV577TXjtbp16+ba9uzZs3h7e/PUU09hMBioUKFCjjZ9+/Y1/t5GjRpFgwYNCA0NJSgoCIDXXnuNvn375hnPtGnTCA8Pz/O+iIiIiIiIiIjI3RR5+YhmzZoRGxtrcgwaNAiAbt26ce3aNTw9PQkJCeHTTz/l5s2bALRq1YoKFSrg6enJiy++yOrVq00+NJaQkEDPnj3x9PTE0dHRWB7g7NmzAFhbW/Piiy/ywQcfAPDdd9/x/fffExwcXKDx75SZmcmkSZMICAigRIkS2Nvbs2PHDuN8t1WrVs3k3M3NjfPnzwMQFxeHu7u7MSEM0KBBg8I+0kK7cuUKiYmJ9O/f31hT197ensmTJ+coZVCnTh2T84Kuu3bt2jnmHTBggLGe9O+//8727dvp169fnnFmZ2cXeE0BAQH3XLf4tvPnz/Prr7/SokWLArUPDg4mNjYWX19fhg4dypdffpmjzd/ff+nSpY2x/v3a9evX89wBPGbMGFJSUozHnTuRRURERERERERE7qbIk8J2dnZ4eXmZHCVKlADA3d2d+Ph4Fi1ahI2NDYMHD6Zx48ZkZGTg4ODAd999x5o1a3Bzc2P8+PFUr16dP//8E4AOHTpw6dIlli5dyoEDBzhw4ABwq+7rbQMGDGDnzp3873//IyIigubNmxt3d95t/DvNnDmT+fPnM2rUKL7++mtiY2MJCgoymQ/I8WE2g8FAVlbWg3iU9ywtLQ2ApUuXmiTnv//+e7799luTtnZ2dibnBV33nf0AevfuzenTp9m/fz8ffvghFStWpFGjRnnG6ePjw48//ligNeU2X2HZ2NgUqn2tWrU4c+YMkyZN4tq1a3Tv3j1HHeq/v3+DwZDntbx+E1ZWVjg6OpocIiIiIiIiIiIihVHkSeG7sbGxoUOHDixYsIDo6Gj279/PiRMnALCwsKBly5bMmDGD48ePk5SUxFdffcXFixeJj49n3LhxtGjRAj8/Py5fvpxj7ICAAOrUqcPSpUv56KOPcuxSzWv83MTExNCxY0deeOEFqlevjqenJ6dOnSrUWv38/Dh37hzJycnGa3cmZe/X7d2zmZmZxmulS5emTJkynD59OkeC/vaH6fJyP+t2cXGhU6dOREREEBkZmW/ZBIDnn3+eU6dO8dlnn+W4l52dTUpKSoHmva1YsWImz+FODg4OeHh4GD88WBCOjo706NGDpUuXsm7dOjZs2MClS5cKFZeIiIiIiIiIiMg/qchrCqenp/Pbb7+ZXLOwsOCJJ54gMjKSzMxM6tevj62tLR9++CE2NjZUqFCBLVu2cPr0aRo3bkzx4sXZtm0bWVlZ+Pr6Urx4cVxcXHj//fdxc3Pj7NmzjB49Otf5b39wzs7Ojs6dOxuv5zd+bry9vfnkk0/Yt28fxYsXZ86cOfz+++/4+/sX+Fm0bNkSHx8f+vTpw8yZM0lNTWXs2LEF6puSkkJsbKzJNRcXF9zd3U2ulSpVChsbG7744gvKlSuHtbU1Tk5OhIeHM3ToUJycnGjdujXp6ekcPnyYy5cvM3z48Dznvd91DxgwgPbt25OZmWlSuzg33bt359NPP6Vnz56MGzeOp59+mpIlS3LixAnmzp3Lq6++SqdOnQo0L2BM+DZs2BArKyuKFy+eo01YWBiDBg2iVKlStGnThr/++ouYmBheffXVHG3nzJmDm5sbNWvWxMzMjI8//hhXV1ecnZ0LHJOIiIiIiIiIiMg/rch3Cn/xxRe4ubmZHE899RRw6yNgS5cupWHDhlSrVo1du3bx+eef4+LigrOzMxs3bqR58+b4+fmxZMkS1qxZQ5UqVTAzM2Pt2rUcOXKEqlWr8vrrrzNz5sxc5+/ZsycWFhb07NkTa2tr4/X8xs/NuHHjqFWrFkFBQTRt2hRXV9dCJSgBzMzM+PTTT7l27Rr16tVjwIABTJkypUB9o6OjqVmzpsmR2wfJLCwsWLBgAe+99x5lypShY8eOwK3k7LJly4iIiCAgIIAmTZoQGRl5153C97vuli1b4ubmRlBQkEkt5dwYDAY++ugj5syZw6ZNm2jSpAnVqlUjLCyMjh07Gj/WVlCzZ89m586duLu75/kRwT59+jBv3jwWLVpElSpVaN++PQkJCbm2dXBwYMaMGdSpU4e6deuSlJTEtm3bMDMr8v/MREREREREREREjAzZhfl61yMoKSmJSpUqcejQIWrVqlXU4Tx20tLSKFu2LBEREXTp0qWow3nopKam4uTkREpKiuoLi4iIiIiIiIg8xgqTJyry8hFFJSMjg4sXLzJu3DiefPJJJYT/ZVlZWfzxxx/Mnj0bZ2dnnnnmmaIOSURERERERERE5LHw2CaFY2JiaNasGT4+PnzyySdFHc5j5+zZs1SsWJFy5coRGRmJhcVj+1MUERERERERERH5Vz325SNEHma3/1mA+7D1mFnZFnU48h+TNL1dUYcgIiIiIiIiIv+SwpSP0BewRP4jkpKSMBgMxMbGFnUoIiIiIiIiIiLyCFNSWB47BoMh3yMsLKyoQxQREREREREREfnHqJCrPHaSk5ONf69bt47x48cTHx9vvGZvb2/8Ozs7m8zMTNU8FhERERERERGRR4Z2Cstjx9XV1Xg4OTlhMBiM5z/++CMODg5s376d2rVrY2Vlxd69e0lMTKRjx46ULl0ae3t76taty65du4xjvvXWW9SvXz/HXNWrV2fixInG82XLluHn54e1tTWVK1dm0aJF/8qaRUREREREREREblNSWCQXo0ePZvr06cTFxVGtWjXS0tJo27YtUVFRHD16lNatW9OhQwfOnj0LQK9evTh48CCJiYnGMX744QeOHz/O888/D8Dq1asZP348U6ZMIS4ujqlTpxIaGsqKFSsKHFd6ejqpqakmh4iIiIiIiIiISGEoKSySi4kTJ9KqVSsqVapEiRIlqF69OgMHDqRq1ap4e3szadIkKlWqxObNmwGoUqUK1atX56OPPjKOsXr1aurXr4+XlxcAEyZMYPbs2XTp0oWKFSvSpUsXXn/9dd57770CxzVt2jScnJyMh7u7+4NduIiIiIiIiIiIPPKUFBbJRZ06dUzO09LSGDFiBH5+fjg7O2Nvb09cXJxxpzDc2i18OymcnZ3NmjVr6NWrFwBXrlwhMTGR/v37Y29vbzwmT55ssrv4bsaMGUNKSorxOHfu3ANYrYiIiIiIiIiIPE709SyRXNjZ2Zmcjxgxgp07dzJr1iy8vLywsbHh2Wef5caNG8Y2PXv2ZNSoUXz33Xdcu3aNc+fO0aNHD+BWUhlg6dKlOWoPm5ubFzguKysrrKys7nVZIiIiIiIiIiIiSgqLFERMTAzBwcF07twZuJXkTUpKMmlTrlw5mjRpwurVq7l27RqtWrWiVKlSAJQuXZoyZcpw+vRp4+5hERERERERERGRoqCksEgBeHt7s3HjRjp06IDBYCA0NJSsrKwc7Xr16sWECRO4ceMGc+fONbkXHh7O0KFDcXJyonXr1qSnp3P48GEuX77M8OHD/62liIiIiIiIiIjIY041hUUKYM6cORQvXpzAwEA6dOhAUFAQtWrVytHu2Wef5eLFi1y9epVOnTqZ3BswYADLli0jIiKCgIAAmjRpQmRkJBUrVvyXViEiIiIiIiIiIgKG7Ozs7KIOQkTuTWpqKk5OTqSkpODo6FjU4YiIiIiIiIiISBEpTJ5IO4VFREREREREREREHiNKCouIiIiIiIiIiIg8RvShOZFHQNUJOzCzsi3qMOQ/LGl6u6IOQURERERERET+I7RTWOQ+REZG4uzsXNRhiIiIiIiIiIiIFJiSwiLAuXPn6NevH2XKlMHS0pIKFSrw2muvcfHiRWMbDw8P5s2bV3RBioiIiIiIiIiIPABKCstj7/Tp09SpU4eEhATWrFnDTz/9xJIlS4iKiqJBgwZcunTpX48pIyPjX59TREREREREREQeD0oKy2PvlVdewdLSki+//JImTZpQvnx52rRpw65du/jll18YO3YsTZs25eeff+b111/HYDBgMBhMxtixYwd+fn7Y29vTunVrkpOTTe4vW7YMPz8/rK2tqVy5MosWLTLeS0pKwmAwsG7dOpo0aYK1tTWrV6/ONdb09HRSU1NNDhERERERERERkcJQUlgea5cuXWLHjh0MHjwYGxsbk3uurq706tWLdevWsWHDBsqVK8fEiRNJTk42SfpevXqVWbNmsWrVKr755hvOnj3LiBEjjPdXr17N+PHjmTJlCnFxcUydOpXQ0FBWrFhhMt/o0aN57bXXiIuLIygoKNd4p02bhpOTk/Fwd3d/gE9DREREREREREQeBxZFHYBIUUpISCA7Oxs/P79c7/v5+XH58mUyMzMxNzfHwcEBV1dXkzYZGRksWbKESpUqATBkyBAmTpxovD9hwgRmz55Nly5dAKhYsSInT57kvffeo0+fPsZ2w4YNM7bJy5gxYxg+fLjxPDU1VYlhEREREREREREpFCWFRYDs7Ox77mtra2tMCAO4ublx/vx5AK5cuUJiYiL9+/cnJCTE2ObmzZs4OTmZjFOnTp27zmVlZYWVldU9xyoiIiIiIiIiIqKksDzWvLy8MBgMxMXF0blz5xz34+LiKF68OCVLlsxzjGLFipmcGwwGY5I5LS0NgKVLl1K/fn2Tdubm5ibndnZ297QGERERERERERGRwlBNYXmsubi40KpVKxYtWsS1a9dM7v3222+sXr2aHj16YDAYsLS0JDMzs1Djly5dmjJlynD69Gm8vLxMjooVKz7IpYiIiIiIiIiIiBSIksLy2Fu4cCHp6ekEBQXxzTffcO7cOb744gtatWpF2bJlmTJlCgAeHh588803/PLLL/zxxx8FHj88PJxp06axYMECTp06xYkTJ4iIiGDOnDn/1JJERERERERERETypPIR8tjz9vbm8OHDTJgwge7du3Pp0iVcXV3p1KkTEyZMoESJEgBMnDiRgQMHUqlSJdLT0wtch3jAgAHY2toyc+ZM3nzzTezs7AgICGDYsGEPbA3fhwfh6Oj4wMYTEREREREREZFHlyH7fr6wJSJFKjU1FScnJ1JSUpQUFhERERERERF5jBUmT6TyESIiIiIiIiIiIiKPEZWPEHkEVJ2wAzMr26IOQx5zSdPbFXUIIiIiIiIiIlIA2iks9y0yMhJnZ+eiDuO+NG3a9L5r/D6IMURERERERERERP5pSgoLFy5c4OWXX6Z8+fJYWVnh6upKUFAQMTExBerfo0cPTp069Q9Hef+Cg4MxGAw5jp9++omNGzcyadKkAo0THR2NwWDgzz//NLlemDFERERERERERESKispHCF27duXGjRusWLECT09Pfv/9d6Kiorh48WKB+tvY2GBjY/MPR/lgtG7dmoiICJNrJUuWxNzc/L7HLlGixH2PISIiIiIiIiIi8k/TTuHH3J9//smePXt4++23adasGRUqVKBevXqMGTOGZ555xqTdwIEDKV26NNbW1lStWpUtW7YAuZeP+Oyzz6hVqxbW1tZ4enoSHh7OzZs3jfcNBgPLli2jc+fO2Nra4u3tzebNm03G+OGHH2jfvj2Ojo44ODjQqFEjEhMTjfeXLVuGn58f1tbWVK5cmUWLFt11vbd3Qv/9MDc3z1H6IT09nVGjRuHu7o6VlRVeXl4sX76cpKQkmjVrBkDx4sUxGAwEBwcDOctHXL58md69e1O8eHFsbW1p06YNCQkJxvu3n9uOHTvw8/PD3t6e1q1bk5ycfNd1iIiIiIiIiIiI3CvtFH7M2dvbY29vz6ZNm3jyySexsrLK0SYrK4s2bdrw119/8eGHH1KpUiVOnjyZ5+7aPXv20Lt3bxYsWGBM5L700ksATJgwwdguPDycGTNmMHPmTN555x169erFzz//TIkSJfjll19o3LgxTZs25auvvsLR0ZGYmBhjYnn16tWMHz+ehQsXUrNmTY4ePUpISAh2dnb06dPnvp9L79692b9/PwsWLKB69eqcOXOGP/74A3d3dzZs2EDXrl2Jj4/H0dExz13SwcHBJCQksHnzZhwdHRk1ahRt27bl5MmTFCtWDICrV68ya9YsVq1ahZmZGS+88AIjRoxg9erVuY6Znp5Oenq68Tw1NfW+1yoiIiIiIiIiIo8XJYUfcxYWFkRGRhISEsKSJUuoVasWTZo04bnnnqNatWoA7Nq1i4MHDxIXF4ePjw8Anp6eeY4ZHh7O6NGjjclZT09PJk2axMiRI02SwsHBwfTs2ROAqVOnsmDBAg4ePEjr1q159913cXJyYu3atcYE6u254VZyefbs2XTp0gWAihUrcvLkSd577718k8JbtmzB3t7eeN6mTRs+/vhjkzanTp1i/fr17Ny5k5YtW+ZY7+0yEaVKlcrzA3u3k8ExMTEEBgYCtxLZ7u7ubNq0iW7dugGQkZHBkiVLqFSpEgBDhgxh4sSJecY/bdo0wsPD87wvIiIiIiIiIiJyN0oKC127dqVdu3bs2bOHb7/9lu3btzNjxgyWLVtGcHAwsbGxlCtXziQpm59jx44RExPDlClTjNcyMzO5fv06V69exdbWFsCYdAaws7PD0dGR8+fPAxAbG0ujRo2MCeG/u3LlComJifTv35+QkBDj9Zs3b+Lk5JRvbM2aNWPx4sUm894pNjYWc3NzmjRpUqD15iYuLg4LCwvq169vvObi4oKvry9xcXHGa7a2tsaEMICbm5vxGeRmzJgxDB8+3HiempqKu7v7PccpIiIiIiIiIiKPHyWFBQBra2tatWpFq1atCA0NZcCAAUyYMIHg4OBCf0QuLS2N8PBw4y7eO+e57c6Er8FgICsrCyDfOdPS0gBYunSpSdIVuOsH4+zs7PDy8sq3zb/50bzcnkF2dnae7a2srHIt8SEiIiIiIiIiIlJQ+tCc5Mrf358rV64At3b0/u9//+PUqVMF6lurVi3i4+Px8vLKcZiZFewnV61aNfbs2UNGRkaOe6VLl6ZMmTKcPn06x/gVK1Ys+CLzEBAQQFZWFrt37871vqWlJXBr93Ne/Pz8uHnzJgcOHDBeu3jxIvHx8fj7+993jCIiIiIiIiIiIvdKSeHH3MWLF2nevDkffvghx48f58yZM3z88cfMmDGDjh07AtCkSRMaN25M165d2blzJ2fOnGH79u188cUXuY45fvx4Vq5cSXh4OD/88ANxcXGsXbuWcePGFTiuIUOGkJqaynPPPcfhw4dJSEhg1apVxMfHA7fqFk+bNo0FCxZw6tQpTpw4QUREBHPmzLnvZ+Lh4UGfPn3o168fmzZt4syZM0RHR7N+/XoAKlSogMFgYMuWLVy4cMG4c/nvvL296dixIyEhIezdu5djx47xwgsvULZsWeNzFRERERERERERKQpKCj/m7O3tqV+/PnPnzqVx48ZUrVqV0NBQQkJCWLhwobHdhg0bqFu3Lj179sTf35+RI0fmuVM2KCiILVu28OWXX1K3bl2efPJJ5s6dS4UKFQocl4uLC1999RVpaWk0adKE2rVrs3TpUmO5hQEDBrBs2TIiIiIICAigSZMmREZGPpCdwgCLFy/m2WefZfDgwVSuXJmQkBDjzumyZcsaP6ZXunRphgwZkusYERER1K5dm/bt29OgQQOys7PZtm1brnWSRURERERERERE/i2G7PwKmIrIf1pqaipOTk6kpKTg6OhY1OGIiIiIiIiIiEgRKUyeSDuFRURERERERERERB4jSgqLiIiIiIiIiIiIPEYsijoAEbl/VSfswMzKtqjDEPnXJU1vV9QhiIiIiIiIiDx0tFP4AYqOjsZgMPDnn38CEBkZibOzc6HGCA4OplOnTg88tn9L06ZNGTZs2D8+j4eHB/Pmzcu3zZ3v458UFhZGjRo1jOcP+3sUEREREREREZFHl5LC/19wcDAGgwGDwUCxYsWoWLEiI0eO5Pr16/c8Zo8ePTh16lSh+syfP5/IyMh7nvO/LjMzk+nTp1O5cmVsbGwoUaIE9evXZ9myZYUa59ChQ7z00kv5tgkMDCQ5ORknJyfg3pL09+rO9/hvJctFRERERERERETuRuUj/qZ169ZERESQkZHBkSNH6NOnDwaDgbfffvuexrOxscHGxqZQfW4nMB9V4eHhvPfeeyxcuJA6deqQmprK4cOHuXz5cqHGKVmyZL73MzIysLS0xNXV9X7CvWeP+nsUEREREREREZGHl3YK/42VlRWurq64u7vTqVMnWrZsyc6dO433s7KymDZtGhUrVsTGxobq1avzySef5DlebjtTJ0+eTKlSpXBwcGDAgAGMHj0637ID6enpDB06lFKlSmFtbc1TTz3FoUOHjPdvl0iIioqiTp062NraEhgYSHx8fL5rHTVqFD4+Ptja2uLp6UloaCgZGRnG+7fLIaxatQoPDw+cnJx47rnn+Ouvv4xtrly5Qu/evbG3t8fNzY3Zs2fnOyfA5s2bGTx4MN26daNixYpUr16d/v37M2LECGObpk2bMmTIEIYMGYKTkxNPPPEEoaGhZGdnG9vcWT7CYDCwePFinnnmGezs7JgyZYpJ+Yjo6Gj69u1LSkqKcUd4WFiYse+mTZtM4nR2djbZ6Xu353Wnv7/H4OBgdu/ezfz5841znzlzBi8vL2bNmmXSLzY2FoPBwE8//XTXZykiIiIiIiIiInIvlBTOw/fff8++ffuwtLQ0Xps2bRorV65kyZIl/PDDD7z++uu88MIL7N69u0Bjrl69milTpvD2229z5MgRypcvz+LFi/PtM3LkSDZs2MCKFSv47rvv8PLyIigoiEuXLpm0Gzt2LLNnz+bw4cNYWFjQr1+/fMd1cHAgMjKSkydPMn/+fJYuXcrcuXNN2iQmJrJp0ya2bNnCli1b2L17N9OnTzfef/PNN9m9ezefffYZX375JdHR0Xz33Xf5zuvq6spXX33FhQsX8m23YsUKLCwsOHjwIPPnz2fOnDl3LTERFhZG586dOXHiRI71BwYGMm/ePBwdHUlOTiY5OdkkEX03BXleeZk/fz4NGjQgJCTEOHf58uXp168fERERJm0jIiJo3LgxXl5euY6Vnp5OamqqySEiIiIiIiIiIlIYSgr/zZYtW7C3t8fa2pqAgADOnz/Pm2++CdxKxk2dOpUPPviAoKAgPD09CQ4O5oUXXuC9994r0PjvvPMO/fv3p2/fvvj4+DB+/HgCAgLybH/lyhUWL17MzJkzadOmDf7+/ixduhQbGxuWL19u0nbKlCk0adIEf39/Ro8ezb59+/Kthzxu3DgCAwPx8PCgQ4cOjBgxgvXr15u0ycrKIjIykqpVq9KoUSNefPFFoqKiAEhLS2P58uXMmjWLFi1aEBAQwIoVK7h582a+z2DOnDlcuHABV1dXqlWrxqBBg9i+fXuOdu7u7sydOxdfX1969erFq6++etck7PPPP0/fvn3x9PSkfPnyJvcsLS1xcnLCYDDg6uqKq6sr9vb2+Y73dwV5XnlxcnLC0tISW1tb49zm5uYEBwcTHx/PwYMHgVslLz766KN8E/rTpk3DycnJeLi7uxd4DSIiIiIiIiIiIqCksIlmzZoRGxvLgQMH6NOnD3379qVr164A/PTTT1y9epVWrVphb29vPFauXEliYmKBxo+Pj6devXom1+48/7vExEQyMjJo2LCh8VqxYsWoV68ecXFxJm2rVatm/NvNzQ2A8+fP5zn2unXraNiwoTE5Om7cOM6ePWvSxsPDAwcHB5Nxb4+ZmJjIjRs3qF+/vvF+iRIl8PX1zXNOAH9/f77//nu+/fZb+vXrx/nz5+nQoQMDBgwwaffkk09iMBiM5w0aNCAhIYHMzMw8x65Tp06+c9+PgjyvwipTpgzt2rXjgw8+AODzzz8nPT2dbt265dlnzJgxpKSkGI9z587dVwwiIiIiIiIiIvL4UVL4b+zs7PDy8qJ69ep88MEHHDhwwLgjNy0tDYCtW7cSGxtrPE6ePJlvXeF/S7FixYx/306mZmVl5dp2//799OrVi7Zt27JlyxaOHj3K2LFjuXHjRp5j3h43rzELw8zMjLp16zJs2DA2btxIZGQky5cv58yZM/c1rp2d3T31MxgMJvWKAZN6wQV9XvdiwIABrF27lmvXrhEREUGPHj2wtbXNs72VlRWOjo4mh4iIiIiIiIiISGEoKZwHMzMz3nrrLcaNG8e1a9fw9/fHysqKs2fP4uXlZXIU9J/w+/r6mnwkDshx/neVKlXC0tKSmJgY47WMjAwOHTqEv7//vS0M2LdvHxUqVGDs2LHUqVMHb29vfv7550KNUalSJYoVK8aBAweM1y5fvsypU6cKHc/ttVy5csV47e/jAnz77bd4e3tjbm5e6PFvs7S0zHWnccmSJUlOTjaeJyQkcPXqVeP5g3heec3dtm1b7OzsWLx4MV988cVda0GLiIiIiIiIiIjcL4uiDuC/rFu3brz55pu8++67jBgxghEjRvD666+TlZXFU089RUpKCjExMTg6OtKnT5+7jvfqq68SEhJCnTp1CAwMZN26dRw/fhxPT89c29vZ2fHyyy/z5ptvUqJECcqXL8+MGTO4evUq/fv3v+d1eXt7c/bsWdauXUvdunXZunUrn376aaHGsLe3p3///rz55pu4uLhQqlQpxo4di5lZ/v+f4dlnn6Vhw4YEBgbi6urKmTNnGDNmDD4+PlSuXNnY7uzZswwfPpyBAwfy3Xff8c477zB79ux7Wu9tHh4epKWlERUVRfXq1bG1tcXW1pbmzZuzcOFCGjRoQGZmJqNGjTLZJf0gnpeHhwcHDhwgKSkJe3t7SpQogZmZmbG28JgxY/D29qZBgwb3tUYREREREREREZG70U7hfFhYWDBkyBBmzJjBlStXmDRpEqGhoUybNg0/Pz9at27N1q1bqVixYoHG69WrF2PGjGHEiBHUqlWLM2fOEBwcjLW1dZ59pk+fTteuXXnxxRepVasWP/30Ezt27KB48eL3vK5nnnmG119/nSFDhlCjRg327dtHaGhooceZOXMmjRo1okOHDrRs2ZKnnnqK2rVr59snKCiIzz//nA4dOuDj40OfPn2oXLkyX375JRYW//f/KHr37s21a9eoV68er7zyCq+99hovvfRSoWP8u8DAQAYNGkSPHj0oWbIkM2bMAGD27Nm4u7vTqFEjnn/+eUaMGGFSwuFBPK8RI0Zgbm6Ov78/JUuWNKlH3L9/f27cuEHfvn3va30iIiIiIiIiIiIFYci+s5iq/KtatWqFq6srq1atKupQ/jOaNm1KjRo1mDdvXlGH8q/Ys2cPLVq04Ny5c5QuXbpQfVNTU3FyciIlJUX1hUVEREREREREHmOFyROpfMS/6OrVqyxZsoSgoCDMzc1Zs2YNu3btYufOnUUdmhSB9PR0Lly4QFhYGN26dSt0QlhEREREREREROReKCn8LzIYDGzbto0pU6Zw/fp1fH192bBhAy1btizq0KQIrFmzhv79+1OjRg1Wrlx5X2NVnbADMyvbuzcUkXwlTW9X1CGIiIiIiIiI/ONUU/hfZGNjw65du7h48SJXrlzhu+++o0uXLkUWT2RkJM7OzkUyd3BwMJ06dcr1XnR0dKFLR4SFhVGjRo17iiU6OhqDwcCff/55T/3vdYzg4GAyMzM5cuQIZcuWvee5RURERERERERECkNJ4UdQXgnXOxOXPXr04NSpUwUa80EnkOfPn09kZOQDG+9ukpKSMBgMOY4XXniBwMBAkpOTcXJyKtBYTZs2ZdiwYSbXCjuGiIiIiIiIiIhIUVH5iMeYjY0NNjY2/+qcmZmZGAyGIkue7tq1iypVqhjPbWxssLS0xNXV9b7GfRBjiIiIiIiIiIiI/Bu0U/gxdufu32PHjtGsWTMcHBxwdHSkdu3aHD58mOjoaPr27UtKSopxh21YWBgAly9fpnfv3hQvXhxbW1vatGlDQkJCjjk2b96Mv78/VlZWnD17Nsdu5qysLGbMmIGXlxdWVlaUL1+eKVOmGO+PGjUKHx8fbG1t8fT0JDQ0lIyMjEKv2cXFBVdXV+Ph5OSUa+mHmJgYmjZtiq2tLcWLFycoKIjLly8THBzM7t27mT9/vvFZJCUl5TrGhg0bqFKlClZWVnh4eDB79myTWDw8PJg6dSr9+vXDwcGB8uXL8/777xd6TSIiIiIiIiIiIoWhpLAY9erVi3LlynHo0CGOHDnC6NGjKVasGIGBgcybNw9HR0eSk5NJTk5mxIgRwK1SFYcPH2bz5s3s37+f7Oxs2rZta5KwvXr1Km+//TbLli3jhx9+oFSpUjnmHjNmDNOnTyc0NJSTJ0/y0UcfUbp0aeN9BwcHIiMjOXnyJPPnz2fp0qXMnTv3H3kOsbGxtGjRAn9/f/bv38/evXvp0KEDmZmZzJ8/nwYNGhASEmJ8Fu7u7jnGOHLkCN27d+e5557jxIkThIWFERoamqNkxuzZs6lTpw5Hjx5l8ODBvPzyy8THx+cZW3p6OqmpqSaHiIiIiIiIiIhIYah8xCNqy5Yt2Nvbm1zLzMzMt8/Zs2d58803qVy5MgDe3t7Ge05OThgMBpMSCQkJCWzevJmYmBgCAwMBWL16Ne7u7mzatIlu3boBkJGRwaJFi6hevXqu8/7111/Mnz+fhQsX0qdPHwAqVarEU089ZWwzbtw4498eHh6MGDGCtWvXMnLkyLs+i78LDAzEzOz//l/Inj17crSZMWMGderUYdGiRcZrfy85YWlpia2tbb7lIubMmUOLFi0IDQ0FwMfHh5MnTzJz5kyCg4ON7dq2bcvgwYOBW7uh586dy9dff42vr2+u406bNo3w8PCCLVZERERERERERCQX2in8iGrWrBmxsbEmx7Jly/LtM3z4cAYMGEDLli2ZPn06iYmJ+baPi4vDwsKC+vXrG6+5uLjg6+tLXFyc8ZqlpSXVqlXLd5z09HRatGiRZ5t169bRsGFDXF1dsbe3Z9y4cZw9ezbf+PIa5+/PxN/fP0eb2zuF70dcXBwNGzY0udawYUMSEhJMkvN/fy63k+7nz5/Pc9wxY8aQkpJiPM6dO3dfcYqIiIiIiIiIyONHSeFHlJ2dHV5eXiZH2bJl8+0TFhbGDz/8QLt27fjqq6/w9/fn008/ve9YbGxsMBgM+d7Pz/79++nVqxdt27Zly5YtHD16lLFjx3Ljxo1Cx+Lu7m7yTKysrAodz4NUrFgxk3ODwUBWVlae7a2srHB0dDQ5RERERERERERECkNJYTHh4+PD66+/zpdffkmXLl2IiIgAbu32vbP8hJ+fHzdv3uTAgQPGaxcvXiQ+Pj7XHbh58fb2xsbGhqioqFzv79u3jwoVKjB27Fjq1KmDt7c3P//88z2srmCqVauWZyyQ+7O4k5+fHzExMSbXYmJi8PHxwdzc/IHEKSIiIiIiIiIici+UFBYArl27xpAhQ4iOjubnn38mJiaGQ4cO4efnB9yq45uWlkZUVBR//PEHV69exdvbm44dOxISEsLevXs5duwYL7zwAmXLlqVjx44Fntva2ppRo0YxcuRIVq5cSWJiIt9++y3Lly8HbiWNz549y9q1a0lMTGTBggUPZAdzXsaMGcOhQ4cYPHgwx48f58cff2Tx4sX88ccfwK1nceDAAZKSkvjjjz9y3dn7xhtvEBUVxaRJkzh16hQrVqxg4cKFxg/0iYiIiIiIiIiIFBUlhQUAc3NzLl68SO/evfHx8aF79+60adPG+FGzwMBABg0aRI8ePShZsiQzZswAICIigtq1a9O+fXsaNGhAdnY227Zty1EW4W5CQ0N54403GD9+PH5+fvTo0cNYW/eZZ57h9ddfZ8iQIdSoUYN9+/YZP+D2T/Dx8eHLL7/k2LFj1KtXjwYNGvDZZ59hYXHru4wjRozA3Nwcf39/SpYsmWtt41q1arF+/XrWrl1L1apVGT9+PBMnTjT5yJyIiIiIiIiIiEhRMGRnZ2cXdRAicm9SU1NxcnIiJSVF9YVFRERERERERB5jhckTaaewiIiIiIiIiIiIyGNESWERERERERERERGRx4hFUQcgIvev6oQdmFnZFnUYIo+lpOntijoEERERERERkUJ55HcKGwwGNm3a9K/P27RpU4YNG3bP/aOjozEYDPz5558PLKZ/g4eHB/PmzSvqMERERERERERERCQPD/1O4eDgYP788888E7/JyckUL1783w0K2LhxI8WKFStQ26ZNm1KjRg2TZGpgYCDJyck4OTn9QxEWjbCwMDZt2kRsbGxRhyIiIiIiIiIiIvJYeuiTwnfj6upaJPOWKFHivvpbWloWWewiIiIiIiIiIiLy6HqsykckJSVhMBjYuHEjzZo1w9bWlurVq7N//36TPkuXLsXd3R1bW1s6d+7MnDlzcHZ2Nt4PDg6mU6dOJn2GDRtG06ZNjed3lo9YtGgR3t7eWFtbU7p0aZ599lnjWLt372b+/PkYDAYMBgNJSUm5lo+IiYmhadOm2NraUrx4cYKCgrh8+TIAn3zyCQEBAdjY2ODi4kLLli25cuVKrs8kMzOT/v37U7FiRWxsbPD19WX+/PkmbW6vcdasWbi5ueHi4sIrr7xCRkaGsc358+fp0KEDNjY2VKxYkdWrV+f3Kgpk1apV1KlTBwcHB1xdXXn++ec5f/688f7t5xIVFUWdOnWwtbUlMDCQ+Ph4k3EmT55MqVKlcHBwYMCAAYwePZoaNWoY7+dW3qNTp04EBwcXOBaAzZs3G99rs2bNWLFiRY73tnfvXho1aoSNjQ3u7u4MHTrU5N3k9dsQERERERERERH5JzzySeHcjB07lhEjRhAbG4uPjw89e/bk5s2bwK3E66BBg3jttdeIjY2lVatWTJky5b7mO3z4MEOHDmXixInEx8fzxRdf0LhxYwDmz59PgwYNCAkJITk5meTkZNzd3XOMERsbS4sWLfD392f//v3s3buXDh06kJmZSXJyMj179qRfv37ExcURHR1Nly5dyM7OzjWerKwsypUrx8cff8zJkycZP348b731FuvXrzdp9/XXX5OYmMjXX3/NihUriIyMJDIy0ng/ODiYc+fO8fXXX/PJJ5+waNGiHEnTwsrIyGDSpEkcO3aMTZs2kZSUZJKovW3s2LHMnj2bw4cPY2FhQb9+/Yz3Vq9ezZQpU3j77bc5cuQI5cuXZ/HixQ88ljNnzvDss8/SqVMnjh07xsCBAxk7dqzJGImJibRu3ZquXbty/Phx1q1bx969exkyZAiQ/28jN+np6aSmppocIiIiIiIiIiIihfHIl4/IzYgRI2jX7tbX4sPDw6lSpQo//fQTlStX5p133qFNmzaMGDECAB8fH/bt28eWLVvueb6zZ89iZ2dH+/btcXBwoEKFCtSsWRMAJycnLC0tsbW1zbdcxIwZM6hTpw6LFi0yXqtSpQoA3333HTdv3qRLly5UqFABgICAgDzHKlasGOHh4cbzihUrsn//ftavX0/37t2N14sXL87ChQsxNzencuXKtGvXjqioKEJCQjh16hTbt2/n4MGD1K1bF4Dly5fj5+d3D0/o//w9uevp6cmCBQuoW7cuaWlp2NvbG+9NmTKFJk2aADB69GjatWvH9evXsba25p133qF///707dsXgPHjx/Pll1+Slpb2QGN577338PX1ZebMmQD4+vry/fffm/xPhGnTptGrVy/jrmRvb28WLFhAkyZNWLx4cb6/jdxMmzbN5N2JiIiIiIiIiIgU1mO5U7hatWrGv93c3ACMO1zj4+OpV6+eSfs7zwurVatWVKhQAU9PT1588UVWr17N1atXCzXG7Z3CualevTotWrQgICCAbt26sXTpUmNZiby8++671K5dm5IlS2Jvb8/777/P2bNnTdpUqVIFc3Nz47mbm5vxOcXFxWFhYUHt2rWN9ytXrmxSZuNeHDlyhA4dOlC+fHkcHByMid87Y/s33uHdYomPjzcmxPOa59ixY0RGRmJvb288goKCyMrK4syZM4X+bYwZM4aUlBTjce7cuUKvS0REREREREREHm+PZVK4WLFixr8NBgNwq6RCQZmZmeUozfD3Wrt3cnBw4LvvvmPNmjW4ubkxfvx4qlevblJ39m5sbGzyvGdubs7OnTvZvn07/v7+vPPOO/j6+nLmzJlc269du5YRI0bQv39/vvzyS2JjY+nbty83btwwaff35wS3nlVhnlNhXblyhaCgIBwdHVm9ejWHDh3i008/Bcg3tn/iHRYmlvykpaUxcOBAYmNjjcexY8dISEigUqVKhf5tWFlZ4ejoaHKIiIiIiIiIiIgUxmOZFM6Pr68vhw4dMrl253nJkiVJTk42uRYbG5vvuBYWFrRs2ZIZM2Zw/PhxkpKS+OqrrwCwtLQkMzMz3/7VqlUjKioqz/sGg4GGDRsSHh7O0aNHsbS0NCYx7xQTE0NgYCCDBw+mZs2aeHl5kZiYmO/8d6pcuTI3b97kyJEjxmvx8fGFSnTf6ccff+TixYtMnz6dRo0aUbly5XuqUXwv7zAzM5Pvv/++ULH4+vpy+PDhfOepVasWJ0+exMvLK8dhaWkJ5P/bEBERERERERERedAeiZrCKSkpOZKyLi4uuX6w7W5effVVGjduzJw5c+jQoQNfffUV27dvN+5GBWjevDkzZ85k5cqVNGjQgA8//JDvv/8+z1qwW7Zs4fTp0zRu3JjixYuzbds2srKy8PX1BcDDw4MDBw6QlJSEvb09JUqUyDHGmDFjCAgIYPDgwQwaNAhLS0u+/vprunXrRmJiIlFRUTz99NOUKlWKAwcOcOHChTzr+3p7e7Ny5Up27NhBxYoVWbVqFYcOHaJixYoFfk6+vr60bt2agQMHsnjxYiwsLBg2bFi+O5pvu3btWo735eDgQPny5bG0tOSdd95h0KBBfP/990yaNKnAMd326quvEhISQp06dQgMDGTdunUcP34cT09PY5vmzZszfPhwtm7dSqVKlZgzZ45JQrsgsQwcOJA5c+YwatQo+vfvT2xsrPFDfLd/L6NGjeLJJ59kyJAhDBgwADs7O06ePMnOnTtZuHDhXX8bIiIiIiIiIiIiD9ojsVM4OjqamjVrmhz3+jGuhg0bsmTJEubMmUP16tX54osveP3117G2tja2CQoKIjQ0lJEjR1K3bl3++usvevfuneeYzs7ObNy4kebNm+Pn58eSJUtYs2aN8UNxI0aMwNzcHH9/f0qWLJmjfi7c+uDdl19+ybFjx6hXrx4NGjTgs88+w8LCAkdHR7755hvatm2Lj48P48aNY/bs2bRp0ybXeAYOHEiXLl3o0aMH9evX5+LFiwwePLjQzyoiIoIyZcrQpEkTunTpwksvvUS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      "text/plain": [
       "<Figure size 1500x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# Assuming genre_counts is a dictionary containing your genre distribution\n",
    "genres = df.Genre.value_counts().index\n",
    "counts = df.Genre.value_counts().values\n",
    "\n",
    "plt.figure(figsize=(15, 10))\n",
    "plt.barh(genres, counts)\n",
    "plt.xlabel('Count')\n",
    "plt.ylabel('Genre')\n",
    "plt.title('Genre Distribution')\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "# from tqdm import tqdm\n",
    "# tqdm.pandas()\n",
    "# df['Content_Char_Length'] = df['Content'].progress_apply(len)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "# # df.Content.isna().drop()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index([173, 175, 185, 229, 240, 241, 268, 629, 2433, 7862, 7863, 10126, 10207], dtype='int64')"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df.Content.isna()==1].index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.drop(df[df.Content.isna()==1].index,axis=0,inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.Content.isna().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 11332/11332 [00:00<00:00, 1136262.32it/s]\n"
     ]
    }
   ],
   "source": [
    "from tqdm import tqdm\n",
    "tqdm.pandas()\n",
    "df['Content_Char_Length'] = df['Content'].progress_apply(len)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 11332/11332 [00:34<00:00, 327.70it/s]\n"
     ]
    }
   ],
   "source": [
    "df['Content_Word_Length'] = df['Content'].progress_apply(lambda x: len(str(x).split(' ')))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Title</th>\n",
       "      <th>Genre</th>\n",
       "      <th>Content</th>\n",
       "      <th>Language</th>\n",
       "      <th>Content_Char_Length</th>\n",
       "      <th>Content_Word_Length</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n", 
       "      <td>The Declaration of Independence of the United ...</td>\n",
       "      <td>History</td>\n",
       "      <td>All of the original files are included in the ...</td>\n",
       "      <td>English</td>\n",
       "      <td>16830</td>\n",
       "      <td>2803</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>The King James Version of the Bible</td>\n",
       "      <td>Religion and Spirituality</td>\n",
       "      <td>Exodus The Third Book of Moses: Called Levitic...</td>\n",
       "      <td>English</td>\n",
       "      <td>4139636</td>\n",
       "      <td>789956</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>The Complete Works of William Shakespeare</td>\n",
       "      <td>Drama and Performing Arts</td>\n",
       "      <td>William Shakespeare Contents THE SONNETS ALL’S...</td>\n",
       "      <td>English</td>\n",
       "      <td>5287942</td>\n",
       "      <td>972334</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>The Magna Carta</td>\n",
       "      <td>Linguistics and Languages</td>\n",
       "      <td>preparer of the 0.1 version. some of which wer...</td>\n",
       "      <td>English</td>\n",
       "      <td>79272</td>\n",
       "      <td>14377</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Apocolocyntosis</td>\n",
       "      <td>Religion and Spirituality</td>\n",
       "      <td>H. D. Rouse Release date : November 1, ROUSE, ...</td>\n",
       "      <td>English</td>\n",
       "      <td>29568</td>\n",
       "      <td>5544</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11340</th>\n",
       "      <td>A Biographical Sketch of the Life and Characte...</td>\n",
       "      <td>Other</td>\n",
       "      <td>Produced by John Young Le Bourgeois A BIOGRAPH...</td>\n",
       "      <td>English</td>\n",
       "      <td>256895</td>\n",
       "      <td>46405</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11341</th>\n",
       "      <td>Rub iy t of Omar Khayy m, and Sal m n and Abs ...</td>\n",
       "      <td>Linguistics and Languages</td>\n",
       "      <td>by Edward FitzGerald. no cost and with almost ...</td>\n",
       "      <td>English</td>\n",
       "      <td>117527</td>\n",
       "      <td>21184</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11342</th>\n",
       "      <td>Jane Austen, Her Life and Letters: A Family Re...</td>\n",
       "      <td>History</td>\n",
       "      <td>Chapter I AUSTENS AND LEIGHS 1600-1764 At the ...</td>\n",
       "      <td>English</td>\n",
       "      <td>749846</td>\n",
       "      <td>135954</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11343</th>\n",
       "      <td>Mr  Dooley in Peace and in War</td>\n",
       "      <td>Comics and Graphic Novels</td>\n",
       "      <td>Graeme Mackreth, DOOLEY In Peace and in War Bo...</td>\n",
       "      <td>English</td>\n",
       "      <td>238352</td>\n",
       "      <td>44090</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11344</th>\n",
       "      <td>The Devil's Asteroid</td>\n",
       "      <td>Science Fiction</td>\n",
       "      <td>Extensive research did not uncover any evidenc...</td>\n",
       "      <td>English</td>\n",
       "      <td>57071</td>\n",
       "      <td>9880</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>11332 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                   Title  \\\n",
       "0      The Declaration of Independence of the United ...   \n",
       "1                    The King James Version of the Bible   \n",
       "2              The Complete Works of William Shakespeare   \n",
       "3                                        The Magna Carta   \n",
       "4                                        Apocolocyntosis   \n",
       "...                                                  ...   \n",
       "11340  A Biographical Sketch of the Life and Characte...   \n",
       "11341  Rub iy t of Omar Khayy m, and Sal m n and Abs ...   \n",
       "11342  Jane Austen, Her Life and Letters: A Family Re...   \n",
       "11343                     Mr  Dooley in Peace and in War   \n",
       "11344                               The Devil's Asteroid   \n",
       "\n",
       "                           Genre  \\\n",
       "0                        History   \n",
       "1      Religion and Spirituality   \n",
       "2      Drama and Performing Arts   \n",
       "3      Linguistics and Languages   \n",
       "4      Religion and Spirituality   \n",
       "...                          ...   \n",
       "11340                      Other   \n",
       "11341  Linguistics and Languages   \n",
       "11342                    History   \n",
       "11343  Comics and Graphic Novels   \n",
       "11344            Science Fiction   \n",
       "\n",
       "                                                 Content Language  \\\n",
       "0      All of the original files are included in the ...  English   \n",
       "1      Exodus The Third Book of Moses: Called Levitic...  English   \n",
       "2      William Shakespeare Contents THE SONNETS ALL’S...  English   \n",
       "3      preparer of the 0.1 version. some of which wer...  English   \n",
       "4      H. D. Rouse Release date : November 1, ROUSE, ...  English   \n",
       "...                                                  ...      ...   \n",
       "11340  Produced by John Young Le Bourgeois A BIOGRAPH...  English   \n",
       "11341  by Edward FitzGerald. no cost and with almost ...  English   \n",
       "11342  Chapter I AUSTENS AND LEIGHS 1600-1764 At the ...  English   \n",
       "11343  Graeme Mackreth, DOOLEY In Peace and in War Bo...  English   \n",
       "11344  Extensive research did not uncover any evidenc...  English   \n",
       "\n",
       "       Content_Char_Length  Content_Word_Length  \n",
       "0                    16830                 2803  \n",
       "1                  4139636               789956  \n",
       "2                  5287942               972334  \n",
       "3                    79272                14377  \n",
       "4                    29568                 5544  \n",
       "...                    ...                  ...  \n",
       "11340               256895                46405  \n",
       "11341               117527                21184  \n",
       "11342               749846               135954  \n",
       "11343               238352                44090  \n",
       "11344                57071                 9880  \n",
       "\n",
       "[11332 rows x 6 columns]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Text Length Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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06ABpaWlERkbin3/+YXnUuVwu2rVrhy1btqCoqIgV88o32mufDMn32A0aNKjevgcOHIhXr17hzz//ZNI+ffqEbdu2fcmUGMTFxTFy5EgcOXKE8TDX5O3bt41us0OHDlBVVcX27dtRUVHBpEdGRgqEBfANtdpGZ3NSXFyMiRMnIjc3F8uWLavTQ52fn89KU1dXh7a2NkuuT1ZWVqDc51JRUcHIcgJAWVkZ/vjjD6ipqaF9+/YAwMRFx8bGssYq7DPR0LFpaWmhTZs22L17N+tZJCYm4uLFi6wX0KagIfPkM3HiRFy8eBEbNmyAqqpqg77J6NatG/r164dt27bhxIkTQsvU9nw7Ozvjn3/+wfbt2wXKFhcXC4T+fAkjRoyAuLg4/P39BcZBCMH79++brC/Kt4V61CkUCqWZkZKSQseOHfH333+Dy+UKGBJdu3ZFcHAwAPZBR7a2tnB1dcW2bdvw4cMHODg44NatW9i9ezeGDRvG8jaLYtq0adi8eTMmTZqEO3fuQEtLC3v37oWMjEyj5rBr1y4BjWcAmDdvHlavXo0rV66gc+fOmDZtGiwtLZGbm4u7d+8iOjoaubm5jepLSkoKfn5+mDNnDnr37g1nZ2dkZmYiIiICxsbGLMPY2NgYSkpKCAsLg7y8PGRlZdG5c+dGxXXXxT///IN9+/YBqPaiJyUl4fDhw8jOzsYvv/zC2tBYm48fP0JHRwejRo2Cra0t5OTkEB0djdu3bzPPG6j+VuXQoUNYsGABOnbsCDk5OQwZMuSzxqutrY01a9YgMzMTZmZmOHToEO7fv49t27Yxp4haWVmhS5cu8PLyQm5uLlRUVHDw4EHWS9HnjG3dunUYMGAA7Ozs4O7uzsgzKioqsrTlm4KGzJPP+PHjsXjxYhw7dgwzZ85s8Gmq+/btg5OTE4YNG4YBAwagb9++UFZWZk4mjY2NZRn9EydORFRUFGbMmIErV66gW7duqKysxJMnTxAVFcWccdAUGBsbIzAwEF5eXox0qby8PDIyMnDs2DFMnz4dCxcubJK+KN+YbyM2Q6FQKP8tvLy8CADStWtXgbyjR48SAEReXp5UVFSw8srLy4m/vz8xNDQkkpKSRFdXl3h5eZGSkhJWubqkBJ8/f05++uknIiMjQ1q0aEHmzZtHzp8/3yh5RlHXixcvCCGE5OTkkFmzZhFdXV0iKSlJNDU1SZ8+fci2bduYtvjyf4cPH2b1IUzqjxBCNm7cSPT19QmXyyWdOnUicXFxpH379sTJyYlV7sSJE8TS0pJISEiw2nFwcCBWVlYCc3J1dRUqOVgbvuQlAMLhcIiCggKxsrIi06ZNIzdv3hRaBzXkGUtLS8miRYuIra0tkZeXJ7KyssTW1paEhoay6hQWFpLx48cTJSUlAoAZm6j1qplXW57RysqKJCQkEDs7OyItLU309fXJ5s2bBeqnpaWRvn37Ei6XSzQ0NMivv/5K/vrrL4E2RY1N1DOLjo4m3bp1IzwejygoKJAhQ4aQpKQkVhm+5ODbt29Z6aJkI2vTmHnyGThwIAFArl+/XmfbtSkuLiYbNmwgdnZ2REFBgUhISBBNTU0yePBgEhkZKfD3WlZWRtasWUOsrKwIl8slysrKpH379sTf35/k5+cz5QAIle3U19cnrq6uzL2oteJz5MgR0r17dyIrK0tkZWVJq1atyKxZs0hKSkqj5kn5fuEQ0gy7dygUCoVCaWKqqqqgpqaGESNGCA0voFBEMXz4cDx69EjoCbgUyvcMjVGnUCgUyndHSUmJQOztnj17kJuby5zwSqE0hNevX+PMmTOYOHHitx4KhdJoqEedQqFQKN8dMTExmD9/PkaPHg1VVVXcvXsXO3fuhIWFBe7cucM6MIlCEUZGRgbi4uKwY8cO3L59G2lpadDU1PzWw6JQGgXdTEqhUCiU7w4DAwPo6upi48aNzIbHSZMmYfXq1dRIpzSIq1evYvLkydDT08Pu3bupkU75IaEedQqFQqFQKBQK5TuExqhTKBQKhUKhUCjfIdRQp1AoFAqFQqFQvkNojDrlP01ERAQ8PT2/6qmGTUlVVRVevXoFeXn5b3aUOoVCoVAolMZBCMHHjx+hra0NMTHRfnMao0751+Lm5oYPHz7g+PHjrPSYmBj06tULeXl54HK5+PjxI9TV1ett73s06l++fAldXd1vPQwKhUKhUCifwYsXL6CjoyMyn3rUKf9peDweeDzeV+2zsrISHA6nzjfohiIvLw+g+g9dQUHhi9vjU1JSgpcvX0JHRwfS0tJ48+YNpk3/GeVlpXXWk5TiYvu2Pxr04hMQEIAbN24AAMTExCAnJ4eCggJWGQUFBYG0hQsX4u3bt9i9ezcAwNXVFUOGDMHz588RFRWFW7du4ddff0W3bt0aM+VmIy4uDitXrkSnTp3g7OwMfX191lgJIejcubPQvK81j/rG+D2tJ4VCofwbKCgogK6uLvN/XBTUo07519IQj/rx48dZXvIHDx7A09MTCQkJ4HA4MDU1xR9//IHCwkL06tWL1Y6vry/8/PyQl5eHefPm4dSpUygtLYWDgwM2btwIU1NTAP/zxO/ZswdLly5FamoqLl++jD59+uDFixcsyTBPT0/cuXMHf//9d4PmWFBQAEVFReTn5zepoZ6amorp06dj27ZtMDMzY+6LjRxQJa0IseIP4GXEotjQHlU8JQCAWEk+eOlXmTp1UVxcjAEDBjD3v/32GxYuXAgAEBcXR2VlJZOnrKyMvLw8AICEhARatGgBQgiMjIwAAJmZmdi3bx/ExcVRVVUFb29vZGRkMGnfksrKSri4uMDIyAiBgYGsl7Py8nIMHjwYAHD69GlISkoyeV9zHnWN8XtbTwqFQvm30ND/33QzKYVSAxcXF+jo6OD27du4c+cOli5dCklJSXTt2hUbNmyAgoICXr9+jdevXzOGpZubGxISEnDy5EnEx8eDEIKBAweivLycaffTp09Ys2YNduzYgcePH6NDhw4wMjLC3r17mTLl5eWIjIzElClTRI6vtLQUBQUFrKs5ef78OVJTU/H8+XMAQJW0IqpkWzDGeRVPqfpetgWqpBVZdeq61qxZw+qn5jpUVlaiX79+zH1eXh46duwIAKioqEB2djZycnIwYcIETJgwAa9fv8bDhw8BVHvmXVxcWGnfkocPHyI7OxsuLi4C36AkJiaitLQUpaWlSExMZOV9zXnUNcbvbT0pFArlvwYNfaH8qzl9+jTk5ORYaTW9tbXJysrCokWL0KpVKwBgvOIAoKioCA6Hw/KAP336FCdPnkRcXBy6du0KAIiMjISuri6OHz+O0aNHA6g2wkNDQ2Fra8vUdXd3R3h4OBYtWgQAOHXqFEpKSuDs7CxyfKtWrYK/v39Dp//FBAUFfZU67969Y92PHj0af/31F3M/ceJE3L59m1XG0NCQ+T03N1cgvWbat4I/hppjrZ1X+3c+X2sedY3xa46DQqFQKIJQQ53yr6ZXr17YunUrK+3mzZuYMGGC0PILFizA1KlTsXfvXvTt2xejR4+GsbGxyPaTk5MhISGBzp07M2mqqqowNzdHcnIykyYlJQUbGxtWXTc3N3h7e+PGjRvo0qULIiIi4OzsDFlZWZH9eXl5YcGCBcw9P8atuVi2bBkTr9xQA5xfpy7279+PmJgY5r5Fixb4559/mPvDhw+zytf0uPPJyMhgfldRURFIr5n2reCPISMjA1ZWVkLzav/O52vNo64xfs1xUCgUCkUQGvrShMTExIDD4TDxzhEREVBSUmpUG25ubhg2bFiTj+1r0bNnT3h6ejZ7PwYGBtiwYUOdZbKzsxEdHY0WLVrAxMSEuVq2bCmyjp+fHx4/foxBgwbh8uXLsLS0xLFjx+odj7+/P9q0acPcP3/+HAcOHGDueTyegHyiuro6hgwZgvDwcOTk5ODcuXN1hr0AAJfLhYKCAutqDvT09LBt2zb06NEDZmZmjOEtVpIPsaJ3ECv+UH1f/KH6vugdxEryAQD6+vowMzOr81qyZAnTl5iYGOteXFyc5U1XVlZmvOkSEhLQ1NSEhoYG9u3bh3379kFLS4t5CaqqqkJkZCQr7VtiY2MDTU1NREZGoqqqipXXunVrcLlccLlctG7dmpX3NedR1xi/t/WkUCiU/xrUo/7/uLm5MSoSEhIS0NHRwejRoxEQEABpaenPanPMmDEYOHBgo+r8/vvv+Dfv762srMS6desQERGB58+fg8fjwdTUFNOmTcPUqVMb3M7t27fr9DwDgJqaGhwdHaGoWB07zd/UWXtzaW34xuT8+fMxbtw4hIeHY/jw4ZCSkhIIm7GwsEBFRQXLG/z+/XsUFxdj6dKlTFphYSE8PT0FXi6mTp2KcePGQUdHB8bGxt+Nsoa0tDSzITQnJwfv37+HhIQkeOlXWeV4GbGse0kpLhQVFVFZWYmEhAQcOHAA6enpAABZWVkmT0JCAnJycigsLERVVRXGjx8PMTExVFVVsdZYQUGB2UgKVMeou7u7IycnBzt27ABQ/XJ48OBBlJSU4O+//0ZmZiYmT57cLOvSWMTFxeHh4QEfHx9MmTKFeYlp3bo1Dh06hLKyMhBC4OvrCxcXFxgaGiIjIwORkZGIj4+Hv7//Z2/grKysxMOHD5GbmwsVFRXY2NgIbYs/Rl9fX3h7ezf5OCgUCoXy+VBDvQZOTk4IDw9HeXk57ty5A1dXV3A4HIGNbw3lc6T/+EblvxV/f3/88ccf2Lx5Mzp06ICCggIkJCSwjLGGoKamVmd+eXk5xMXFIS0t3eCDgIqLi7Fo0SKMGjUKhoaGePnyJW7fvo2RI0cCqPbiFxYW4tKlS7C1tYWMjAxMTU0xdOhQnDx5EkpKSnjw4AGWLl0KHR0djB8/vt4+HR0doaCggMDAQAQEBDRonF+TnJwcTJg4Sagso4SkJFYEBEBVVZVJU1RUREpKCiZNmoTSUnadgoICvH79WmRftb25/Dp8+IY8PwSHfx8TE8MKowGA8PBwnDt3Dh4eHrC3t2/QXJuLpKQkiImJITMzE5mZmbh6tfplR0ZGhtlvEBoailmzZjF1tLS04O/v/9ljj42NRWhoKLKzs5k0TU1Nkethb28Pf3//Jh8HhUKhUL4MGvpSAy6XC01NTejq6mLYsGHo27cv6yv4qqoqrFq1CoaGhuDxeLC1tcWff/4psj1hoS+BgYFQV1eHvLw8pk6diqVLl7JCJmqHvpSWlmLu3LlQV1eHtLQ0unfvztpUxw+3uXTpEjp06AAZGRl07doVKSkpdc51yZIlMDMzg4yMDIyMjLB8+XKWSomfnx/atGmDvXv3wsDAAIqKihg7diw+fvzIlCkqKsKkSZMgJycHLS0tBAcH19knAJw8eRIeHh4YPXo0DA0NYWtrC3d3d0ZBBaj2kM6ePRuzZ8+GoqIiWrRogeXLl7O+aagd+sLhcLB161b89NNPkJWVRVBQELKzs3HixAl8+PABMTExmDx5MvLz8xmZxdWrVwMA8vPzcfz4cYiLi+P9+/eYNGkSDAwMMHjwYAwYMAD+/v5YsmQJ3NzcICEhgf79+0NNTQ2rVq0CUG0UamtrIz09HXZ2diCEwNramtlIumPHDlRWVuL3338Hh8MBh8NBRkYGTExMsH79eri5uaGyshKTJk3C/fv3weFw8OzZs3rXsjkpKSlBamoq3rx5g/KyUpS0bAcAKDa0R5HlTyg2ckBFeTlUVVVZIS0pKSnw8fERMNIbQ03lEVVVVTg7OyM4OBjnz59HSEgIRo0aBQ6HAxMTEwBgQpn4m4ZNTU3B4XCgqKgIX19fxMbGCnbylQgLC8PBgwehqKiIBQsWwN/fH4MGDYK8vDw+ffqEpKQk2NvbIzIyEiEhIVi+fDlCQkKwb9++LzLSfX19YWRkhC1btuDs2bPYsmULjIyM6lyPph4HhUKhUL4caqiLIDExEdevX4eUlBSTtmrVKuzZswdhYWF4/Pgx5s+fjwkTJjAesvqIjIxEUFAQ1qxZgzt37kBPT09go2NtFi9ejCNHjmD37t24e/cuTExM4OjoKKDAsGzZMgQHByMhIQESEhL1xjrLy8sjIiICSUlJ+P3337F9+3aEhISwyqSlpeH48eM4ffo0Tp8+jatXrzLGLQAsWrQIV69exYkTJ3Dx4kXExMTg7t27dfarqamJy5cv4+3bt3WW2717NyQkJHDr1i38/vvvWL9+PRPqIAo/Pz8MHz4cjx49wpQpU1ihJ8LkFb29veHm5saUkZKSwoEDB5CVlQVFRUWEhIRg06ZNkJaWZtbr6dOnOH78ODQ0NJhDCpSVlTF8+HBYW1vj06dPOH/+PCt2/MyZM7Czs8O0adOYvvX09DBlyhSEh4fjn3/+wcCBA6GlpYXw8HDY29szRui3IisrC9OnT2c8skSq2ghm5BilBb/5qaysxObNmwXSG/qNhqSkJMTExMDhcJgXXElJSfz8889o3749syH32rVr6NKlC/Lz82FnZ4eKigp07doVx48fR9euXVFYWIguXbqgoKAAXbp0wdatW+tU+mkuysrKcPjwYSgrK+Pw4cP46aef4ODggEWLFuHYsWNMellZGcTFxdG2bVv06dMHbdu2/aJwl9DQUNjZ2SEwMBBWVlaQkZGBlZUVAgMDYWdnV+d6NNU4KBQKhdI0UEO9BnwpP2lpaVhbW+PNmzeMdF5paSlWrlyJXbt2wdHREUZGRnBzc8OECRPwxx9/NKj9TZs2wd3dHZMnT4aZmRl8fHxgbW0tsnxRURG2bt2KdevWYcCAAbC0tMT27dvB4/Gwc+dOVtmgoCA4ODjA0tISS5cuxfXr11FSUiKybW9vb3Tt2hUGBgYYMmQIFi5ciKioKFaZqqoqREREoHXr1ujRowcmTpyIS5cuAaiOud65cyd+++039OnTB9bW1ti9ezcqKirqXIP169fj7du30NTUhI2NDWbMmIFz584JlNPV1UVISAjMzc3h4uKCOXPmCLxI1Gb8+PGYPHkyjIyMoKenx8qTkpJiyStqamoKyDbWRUPWSxSKioqQkpKCjIwM07e4uDhGjBiBlJQU7Nu3D3PmzEF5eTn279//Xemo1xWqArA108+ePYs3b94IlGnonovy8nImRp3/LVN2djZLv5uv+d2pUyfk5OQwP11cXCAhIcFofnfq1In181togJ84cQKVlZVwd3eHhAQ7ypD/Ml1ZWYkTJ040WZ9UE51CoVD+XdAY9RrwpfyKiooQEhICCQkJJj752bNn+PTpE+sgFqDaa9a2bdsGtZ+SkgIPDw9WWqdOnXD58mWh5dPS0lBeXs7aYCgpKYlOnTqxpP8AsBQZtLS0AABv3rwRMFj5HDp0CBs3bkRaWhoKCwtRUVEhoCBiYGDAOtpWS0uLMcTS0tJQVlbGkiVUUVGBubm5yPkDgKWlJRITE3Hnzh3ExcUhNjYWQ4YMgZubG8tj3qVLF5Yn1s7ODsHBwaisrBTp5evQoUOdfX8JDVmvxjJjxgwQQmBubo5+/frh6NGjKC0tZUJmhPG1ddR37dpVZ/7naKY3hJobuIXpjfPz+T/5Wt/8n1wul/XzW2iAv3r1CkD1Z1cY/HR+uaaAaqJTKBTKvwvqUa+BrKwsTExMYGtri127duHmzZuM57qwsBBAdRjD/fv3mSspKanOOPWvRc3jx/kGrrDNeQAQHx8PFxcXDBw4EKdPn8a9e/ewbNkylJWViWyT366oNhuDmJgYOnbsCE9PTxw9ehQRERHYuXMnSxf7c6hPBUYUHA5HwOtbM16/oevVWGJiYnD8+HFkZWWhuLgY4eHhGDNmDGRkZETW8fLyQn5+PnO9ePHii8ZQH/WFUC1btgzbtm3Dtm3b8MsvvzRZvzW/DRKmN87P5//kf3b4P/kx8vyf30IDXFtbG0D150cY/HR+uaagpia6MKgmOoVCofxYUI+6CMTExPDrr79iwYIFGD9+PCwtLcHlcpGVlQUHB4fPatPc3By3b9/GpEmTmLTapy3WxNjYGFJSUoiLi2N0rMvLy3H79m2hWuU9e/ZEmzZtWHHXwrh+/Tr09fWxbNkyJo1/RHxDMTY2hqSkJG7evAk9PT0cP34cCxYs+Cxj29LSEkB1qA+fmzdvssrcuHEDpqamdcbMnjp1qk4NemHyikC1gkzNEI+nT5/i06dPzH1TrJeovgcOHAhZWVls3boV58+fr3fjI193u7nh66jzDV1OWfWLqlRGPMRKcsEh1S9s/D0LkpKSkJOTE/rS01AkJSVRWVkJDoeD+/fvAwATIsWHr/l969YtaGhoMD8jIyMREBDAaH7funWL9fNbaIAPHToUYWFh2LlzJ5ycnFjhLxUVFdi1axfExcUxdOjQRrVbl+xiTU30wMBAVvgL1USnUCiUH48fwqPu5ubGqGVISkpCQ0MD/fr1w65du5rEwyuK0aNHQ1xcHFu2bIG8vDwWLlyI+fPnY/fu3UhLS8Pdu3exadMmRn+9PubMmYOdO3di9+7dePr0KQIDA/Hw4UORm+1kZWUxc+ZMLFq0COfPn0dSUhKmTZuGT58+wd3dvdHziYiIAIfDwcKFC5Geng5VVVWMGjUKQUFBDTrUpyZycnJwd3fHokWLcPnyZbi7u0NcXBwyMjIiv+oHgFGjRiEkJAQ3b97E8+fPERMTg1mzZsHMzAytWrViymVlZWHBggVISUnBgQMHsGnTJsybN6/OMfXv37/O/Jryiu/evWOM8d69e2Pz5s24d+8eEhISMGPGDNa3CaampsjKysLBgweRlpaGjRs3Yv/+/cjPz8e6desaslwwMDDA7t27MWXKFLx794753IqLi8PNzQ1eXl4wNTWtc+2+JnwddXV1dUhISkH6n+pNwpLFbyFOKiGGamO8srISlZWVKCkpwbt3777oDAB+jLq4uDhzaJiHhwfr5Yyv+X3jxg0oKSkhPj4eCgoKuH79OkaNGoXr169DTk4ON27cgIKCAm7cuIGZM2d+k02RUlJSGD16NPLy8jB69GicOnUK7969w6lTp1jpNTes10dsbCxcXFwwf/58rFixAvPnz4eLiwvzgsdfn/j4eHh7e+Px48f49OkTHj9+DG9vb8THx3+z9aBQKBRK4/khDHWgWuP89evXyMzMxLlz59CrVy/MmzcPgwcPrnMDY80QhsYiISGB2bNnY+3atSgqKsKKFSuwfPlyrFq1ChYWFnBycsKZM2dExoPWxsXFBV5eXli4cCHatWuHjIwMuLm51Xmg0urVqzFy5EhMnDgR7dq1w7Nnz3DhwgUoKyt/1pz4qiczZ85EeXk5jh49is2bN2P58uWNbmvdunXo1q0bBg8ejNzcXPTu3RsdO3as0/BwdHTEqVOnMGTIEJiZmcHV1RWtWrXCxYsXWS9dkyZNQnFxMTp16oRZs2Zh3rx5mD59ep3jqc/T3LVrV8yYMQNjxoyBmpoa1q5dCwAIDg6Grq4uevTogfHjx2PhwoWs8JOffvoJ8+fPx+zZs9GmTRtcv34dsrKy4HK59cZwA9X7GPjyk3v27IGamhqysrKYfHd3d5SVlX03h/TUpqL8y0J8GktZWRlkZWUREBBQp+Z3fn71SahPnz4FAMa4f/r0KQghKCgo+OYa4DNmzMDYsWNRUFCA4OBgjBo1CsHBwSgoKMDYsWMxY8aMBrfVUNlF/vqkp6dj1qxZGDhwIGbNmoWMjIxvvh4UCoVCaSTkB8DV1ZUMHTpUIP3SpUsEANm+fTuTBoCEhoaSIUOGEBkZGeLr60sqKirIlClTiIGBAZGWliZmZmZkw4YNQvsICgoi6urqRFFRkfj7+5Py8nKycOFCoqysTFq2bEl27drFqrd48WJiampKeDweMTQ0JN7e3qSsrKzO+dSsw+PxSOvWrVl1fH19ia2tLdmzZw/R19cnCgoKZMyYMaSgoIApU1hYSCZOnEhkZWWJpqYm+e2334iDgwOZN2+eyH7Dw8OJoqIiKy0oKIiIiYmRT58+EUII2b59O2nVqhXhcrnE3NycbNmyhSmbkZFBAJCDBw8Se3t7wuVySXh4OAHAuq5cuUIIIeTPP/8klpaWREpKiujr65PffvuN1be+vj4JCAggEydOJPLy8sTV1ZWEh4cTcXFxMmTIEGJmZkZ4PB4ZOXIkKSoqIhEREURfX58oKSmROXPmkIqKClZbISEhzD3/czFs2DDC4/GIiYkJOXHiBKv/EydOEBMTE8LlcknPnj1JREQEAUDy8vLqenwkJiaGtGzZkpSVlRFtbW0SFxfHyuc/v+3btxMDAwPC4XCIq6urwDplZGSQ3Nxc0rdvXwKASEtLExMTE4HPWF3k5+cTACQ/P7/BdRpCcXExSUlJIQkJCcTBweGLrp49e5LBgweTsWPHkunTp5OBAweSvn37krlz55L58+eTpUuXkqVLlxIvLy8SGBhIbt26xXq2oqioqCB3794lFy9eJFFRUeT8+fMkKiqKXLx4kdy9e7dBbXwtSktLSVRUFNmwYQOJiooipaWljapfUVFBxowZQ7y8vEhlZSUrr7Kyknh5eZGxY8ey5sxfn+jo6O9uPSgUCuW/TkP/f//QMeq9e/eGra0tjh49yjp+3s/PD6tXr8aGDRsgISGBqqoq6Ojo4PDhw1BVVcX169cxffp0aGlpwdnZmal3+fJl6OjoIDY2FnFxcXB3d8f169dhb2+Pmzdv4tChQ/j555/Rr18/6OjoAPifHrm2tjYePXqEadOmQV5eHosXLxYY76dPnxAWFobi4mL4+/vjxo0b2LhxI/755x+EhISw6tTUMM/Ly4OzszNWr17NqGzU1DBXV1fHr7/+irt377IOT2oIPB4PVVVVqKioQGRkJHx8fLB582a0bdsW9+7dw7Rp0yArKwtXV1emztKlSxEcHIy2bdtCTEwMKSkpMDc3x5EjR9C1a1eoqKjgzp07cHZ2hp+fH8aMGYPr16/Dw8MDqqqqrBj63377DT4+PvD19QUA/P3336iqqsKDBw9w/PhxfPz4ESNGjMDw4cOhpKSEs2fPIj09HSNHjkS3bt0wZswYkXPz9/fH2rVrsW7dOmzatAkuLi54/vw5VFRUkJGRgVGjRmHevHmYOnUq7t27xzp0qS527tyJcePGQVJSEuPGjcPOnTvRtWtXVplnz57hyJEjOHr0KMTFxaGvr4/U1FS0bt2aOYFUQUGBCeNwdHREWFgYnj17huLiYpF9l5aWsg4Tai55Rr6Oes1wpPpQVVXF+/fvBdIJIQgICGDUkR4/foxZs2bBzc2twYpJwuBrfv8I8MNgPhe+7OLy5ctFyi7OmjULDx8+ZNbkR1ofCoVCoYjg67w3fBmiPOqEEDJmzBhiYWHB3AMgnp6e9bY5a9YsMnLkSFYf+vr6LG+Vubk56dGjB3NfUVFBZGVlyYEDB0S2u27dOtK+fXuheZ8+fSJ9+vQhKioqREZGhrRt25YcOXJEoI6vry+RkZFhedAXLVpEOnfuTAgh5OPHj0RKSopERUUx+e/fvyc8Hq9RHvXU1FRiZmZGOnToQAghxNjYmOzfv59VZ8WKFcTOzo4Q8j+Peu1vI/Ly8liedEIIGT9+POnXrx+r3KJFi4ilpSVzr6+vT4YNGyYwRgDE1dWVSfv555+JjIwM+fjxI5Pm6OhIfv75Z1ZbtT3q3t7ezH1hYSEBQM6dO0cIIWTJkiWkdevWrL6XLVtWr0c9Pz+f8Hg8cv/+fUIIIffu3SNycnKssfn6+hJJSUny5s0bVt3a33jw56qqqkpevnwpss+a+Pr6Cnjm0Qwe9ZSUlEZ7zocPHy4yLzo6mmm7qKhIII1SN9HR0cTBwYEUFRUJzadrSqFQKD8WDfWo/zAx6qIghAhsxhSmp71lyxa0b98eampqkJOTw7Zt21hxwgBgZWXF8lZpaGiwDiQSFxeHqqoq61CXQ4cOoVu3bswBOt7e3gLt8uHxeIiOjkZoaCjatGmDV69eYdKkSULrNIeGOQDk5+dDTk4OMjIyMDc3ZxQzioqKkJaWBnd3d8jJyTFXYGAg0tLSWG00RK88OTmZpf8OAN26dcPTp09Z6ifC2pKRkUFERARzr6GhAQMDA9YBRRoaGkIP16lJTWULWVlZKCgoMHVSUlLQsWNHVvlOnTrVO68DBw7A2NgYtra2AIA2bdpAX18fhw4dYpXT19eHmppanW25ubnh7Nmz+PTpEwYNGoTFixfj+vXrddb52vKMjfGo13UCaU05QCoR2Hio7CKFQqH8N/nhDfXk5GSBzZy19bQPHjyIhQsXwt3dHRcvXsT9+/cxefLkBumG16Ul/jn62t9aw1xeXh73799HYmIiioqKEBsbCzMzM0Ynfvv27Syd+MTERNy4cYPVxufqlQtDWFuNfQ6iaI413LlzJx4/fgwJCQnmSkpKEthU2tA1GjBgAJ4/f4758+fj1atX6NOnT50hOFwuFwoKCqyrORkyZEiDywoLewHYEotUIvDzqCm7WPszTNeUQqFQ/r380DHqly9fxqNHjzB//nyRZTgcDgYOHIiuXbuyTgWt7SX+HOrS1+Zrmm/YsKHBdWpSWFgIDoeDvLw8KCkpsfJqa5gDQF5eHlJTU+vVeBcTE4OJiYlAuoaGBrS1tZGeng4XF5c626gLAwMDeHp6wsLCAnFxcay8uLg4mJmZfRfScObm5jh79iwrrS5NewB49OgREhISEBMTw/Jc5ubmomfPnnjy5EmdHui6dNxdXV3h6uqKHj16YNGiRfjtt98aOaOmha+jXpciUUNRVFTExIkTUVJSgtLSUhQVFUFKSgrDhg2DlZUVvL29Wd+WCKOsrAwnTpzAq1evoK2tjaFDhzLrKUpT/HNo6vaaqm2+7KKvry+8vb3h4uICQ0NDZGRkIDIyEvHx8fD394e4uHizzqE+vmXfFAqF8m/khzHUS0tLkZ2djcrKSuTk5OD8+fNYtWoVdHR0cPz4cZHSdq9fv8b+/fvh7++PCxcuwNDQEHv37sXt27cbLKsoipr62h07dsSZM2cYPfKjR48KeHRF1dm9e7fABjEZGRm8fv0aioqKAm3U1DBXVVWFuro6li1bJtBGY/H398fcuXOhqKgIJycnlJaWIiEhAXl5eViwYEGj2vrll1/QsWNHrFixAmPGjEF8fDw2b96M/v37o02bNsyBNt+Kn3/+GevXr8eSJUvg7u6O+/fvM+E2okI4du7ciU6dOgmVt+vYsSN27txZp666gYEBbt68iczMTMjJyUFFRQV+fn5o3749rKysUFpaitOnT8PCwqJJ5vgl8HXUc3JysGrVKuzatYuRQWwo/MOPUlJSBPLKyspQVlaGGzduYPDgwWjVqhXCwsKEthMWFobDhw+zXnLCwsLQpUsXpKWlITs7m0nX1NSEh4fHZ0kQxsbGIjQ0tMnaa+q2+bKLoaGhmDVrFpOupaXFyC425xzq41v2TaFQKP9WfpjQl/Pnz0NLSwsGBgZwcnLClStXsHHjRvTu3bvO2FhNTU3MmjULI0aMwJgxY9C5c2e8f/+e5V3/XITpa/P1yFVUVFgx5nXV4Z86WhMxMTFoamqKnNu6devQo0cPDBkyBH379kX37t3Rvn37L5rP1KlTsWPHDoSHh8Pa2hoODg6IiIj4rBeadu3aISoqCgcPHkTr1q3h4+ODgICARqvSNBeGhob4888/cfToUdjY2GDr1q3MtxzC9NjLysqwb98+jBw5Umh7I0eOxJ49e+rU7V+4cCHExcVhaWnJaKlLSUnBy8sLNjY2sLe3h7i4OA4ePNg0k/wCSkpKqsO0JkyEl5eXcCP9/0OSxMXFIS0tjRYtWkBfXx99+vSBpaVlow4/evLkiVBN8bCwMBw8eBAKCgpYuHAhjhw5goULF0JaWhpxcXEQExOrU1O8oTRUo/xzaMq27e3tERkZiZCQECxfvhwhISHYt28fY6Q31xy+5hwpFAqFUoOvsbO1OalLEYaQavWPY8eOEUL+p1py5MgR0rNnT8Lj8YiNjQ25fv06q862bduIjo4O4fF4ZNiwYSQ4OJilliKsz3nz5hEHBwfmvrbCx5YtWxjNbnV1dUZxRpS+9pUrVwQUSK5du0YcHBwIj8cjSkpKpH///iQ3N5cQQsjhw4dJ69atibS0NFFRUSF9+vQhhYWFQtekMbry69atI5qamkRFRYV4eHiw9N5zcnLI4MGDibS0NDEwMCD79u0TUF+pDV9jXBR79uwh7du3J3JyckRDQ4OMGzeO5OTkMPn8dYmOjibt27cnPB6P2NnZkSdPnrDaWbFiBVFTUyNycnLE3d2dLFmyhNWvMM15CwsLIiMj0+CxENIwLfa///6bdO/enUhLSxMdHR0yZ84c1rMR9dloCM2lo15T9aXTZB/SyW159e9uy0mHmcGk02Qf4uDgQFJSUgTqfvr0ianbq1cv0rt3b5YCTK9evZjf+/Xrx8qrqZ5TWlpKevfuTYYNG0bKy8uZ9IqKCuLs7Ez69u1LevfuzdIkF6UpXhefo1HeUJqz7W/Rz/fWN4VCofyo/GdUXz6HZcuWYeHChbh//z7MzMwwbtw45nTTuLg4zJgxA/PmzcP9+/fRr18/Rrv8c0lISMDcuXMREBCAlJQUnD9/nvkq+Pfff4ednR2mTZuG169f4/Xr19DV1RVo4/79+4ynMj4+HteuXcOQIUNQWVmJ169fY9y4cZgyZQqSk5MRExODESNGiPRo1tSVT0pKgo+PD3799VdERUWxyl25cgVpaWm4cuUKdu/ejYiICJYai5ubG168eIErV67gzz//RGhoaL1KLPVRXl6OFStWMDrqmZmZLN11PsuWLUNwcDASEhIgISGBKVOmMHmRkZEICgrCmjVrcOfOHejp6WHr1q0CbTx8+BC3b99Geno69u7di6dPn7Li9+sbC1+LfdiwYXjw4AF+/vln1t4DoHovhJOTE0aOHImHDx/i0KFDuHbtGmbPng2g7s+GMEpLS1FQUMC6mpsqaUVU8ZSqf+cpoUq2Baqkq0Oynj9/jtTUVNa1Zs2a/9WtqmKFrPTv35+lfV97E/WqVauY30+cOIHKykq4u7tDQuJ/UXoPHz5ETk4ORo8ejcrKSpw4cYLJ42uKv379Gg8fPmzQ/Pga5S4uLiI1yhvT3tdq+1v08731TaFQKP92fpgY9aZk4cKFGDRoEIDquGwrKys8e/YMrVq1wqZNmzBgwABGecPMzAzXr1/H6dOnP7u/rKwsyMrKYvDgwZCXl4e+vj5zEImioiKkpKQgIyMDTU1NkW2sXbsWHTp0QGhoKJNmZWUFALh79y4qKiowYsQIJoympqxkbSQlJeHv78/cGxoaIj4+HlFRUawDoJSVlbF582aIi4ujVatWGDRoEC5duoRp06YhNTUV586dw61btxiZw507d35xfHVNg9vIyAgbN25Ex44dUVhYyNpwGBQUxGycXbp0KQYNGoSSkhJIS0tj06ZNcHd3Z/Yt+Pj44OLFi4yyDZ+8vDwMHToUubm50NPTg4mJCSO72JCx/PHHHzA3N2fi0s3NzZGYmMh6sVu1ahVcXFzg6ekJoHqPwsaNG+Hg4ICtW7fW+dkQxqpVq1jP7lvT2JdYZ2dncLlcHDhwQGj+q1evBH63s7NjlcnNzQUADBw4EPv372fVAcCEavHL1Qe/nKgQr8a297Xa/hb9fG99UygUyr+d/6RHvaaEmZaWFgCw9LVr62k3RF+7Lvr16wd9fX0YGRlh4sSJiIyMxKdPnxrVBt+jLgxbW1v06dMH1tbWGD16NLZv3468vLw622uornxNxYaaWu7JycmQkJBgxcW3atVKQKGmsdy5cwdDhgyBnp4e5OXlGWO89tia4hk6ODjg1atXKCkpQWpqKszNzVkewfrG0hAt9gcPHiAiIoKlTe/o6IiqqipkZGQ0+rPxtXXU62PZsmXYtm0b6+rZs6fI8lFRUQJqOzXR1tYW+D0+Pp5Vhq+4w2+nZh2g8ZrizalR/rX0z7+lzjrVeKdQKJTm4z9pqNdUY+Fv1myMvraYmJhAWEldmwjl5eVx9+5dHDhwAFpaWvDx8YGtrS0+fPjQ4D55PJ7IPHFxcfz11184d+4cLC0tsWnTJpibm4v8x/kluvLC1ikiIuKLDXQAKCoqgqOjIxQUFBAZGYnbt28zKjp1ja0pnmHPnj3x4MGDzxpLzTZ27NjBSissLMTPP//M0qZ/8OABnj59CmNj40Z/Nr6Wjrqenh4TxiNWkg+x4urxiBV/gFjRO4iV5AOoPtjJzMyMdS1ZsoRpR0xMjPWsLl68yDocSkpKitWvl5cX8/vQoUMhLi6OnTt3MqFpQPVLmoaGBg4fPgxxcXEMHTqUyfscTfHm1Cj/Wvrn31JnnWq8UygUSvPxnzTU68Lc3FxAT7v2vZqaGl6/fs1Kq09uUEJCAn379sXatWvx8OFDZGZm4vLlywBE62vXxMbGBpcuXRKZz+Fw0K1bN/j7++PevXuQkpJiDMvaxMXFMbrybdu2haKiIs6cOYOkpCRwuVxoamrir7/+EnmADVDtPa+oqMCdO3cwZswYpKamIiUlpVEvH7V58uQJ3r9/j9WrV6NHjx5o1arVZ8W8i3qGWVlZ4HA44HA4jGoQh8PBs2fPcPjwYZYxWNdYEhISwOFwoK+vj4SEBKbO0aNHBXTU27Vrh6SkJJiYmAhcfCO1rs/Gt0JaWho2NjaQlOKCl34VvIxq1Q5eRixkk06Cl34VklJcofKhPB6POZW2qqpK4CW2pjFX86WnVatWrPAmKSkpjB49Gnl5eRg9ejROnTqFd+/e4ezZsygsLER5eTk0NDTw9OlTfPr0CY8fP4a3tzfi4+Mxc+bMRmuUx8fHw9vbG48fP/6i9r5W29+in++tbwqFQvm386+IUc/PzxcwlFVVVYVuyqyPOXPmwN7eHuvXr8eQIUNw+fJlnDt3jiWT2Lt3b6xbtw579uyBnZ0d9u3bh8TERJGxxadPn0Z6ejrs7e2hrKyMs2fPoqqqCubm5gCE62vXxsvLC9bW1vDw8MCMGTMgJSWFK1euYPTo0UhLS8OlS5fQv39/qKur4+bNm3j79q3IeHFTU1Ps2bOH0ZXv27cvsrOzYWBggEuXLiEnJwczZ86s84RVc3NzODk54eeff8bWrVshISEBT0/POj3/fIqLiwWel7y8PPT09CAlJYVNmzZhxowZSExMxIoVK+ptrzZz5szBtGnT0KFDB3Tt2hWHDh3Cw4cPIS4uDicnJ4SHh2PPnj3w8/PDtm3bUFpaimXLlrE2ZjZkLJMnT0ZoaChLi50fe83/vCxZsgRdunTB7NmzMXXqVMjKyiIpKQl//fUXNm/eXO9n41uioaGBfXv3ID09XSC+H6gOOdHQ0BBa19HRETdv3mS9/NSFKB11vmTj4cOHERwczKSLi4ujW7duSEtLE6kp3hgaolH+uTRn29+in++tbwqFQvlX8zUkaJoTYfKGAIi7uzshRLg8471795j6eXl5BAC5cuUKk7Zt2zbSsmVLRp4xMDCQaGpqsvr18fEhGhoaRFFRkcyfP5/Mnj1bpDzj33//TRwcHIiysjIjCXno0CGmbEpKCunSpQvh8Xh1yjPGxMSQrl27Ei6XS5SUlIijoyPJy8sjSUlJxNHRkaipqREul0vMzMzIpk2bRK5ZSUkJcXNzI4qKikRBQYEAIOPHj2fJF9aWoMzLyyOtW7cmkpKShMvlEisrK7Jnzx4yaNAgIiEhQTgcDtmzZw8jz3j8+HHStm1bwuVyiaGhIfHz8yPl5eXE19dX6PPi8XjkxIkTZP/+/cTAwIBwuVxia2tLOnToQAAQGRkZ0r17d7Jv3z5mXbZv305atWpFpKSkCAASEBDAjDcgIIC0aNGCyMnJkSlTppC5c+eSFi1aMHMqKysjM2fOJCoqKkRdXZ0YGhoSIyMj4urqyqzRkCFDiLi4OAFAuFwumT17ttCxy8vLEy6XSxQVFUmvXr0IAFJcXExyc3PJxIkTiby8PBETEyPi4uLM8w8KCiLh4eFETk6OWFtbEzExMQKAyMnJkbCwMJHPrjbNJc9YXFxMUlJSyPPnz0nffv1ZEor8q2+//iQ7O1ug3oEDB5gyI0aMECrLyL/Gjh3LkmQURWlpKYmKiiIbNmwgUVFRjCRjRUUFuXv3LomOjiZ3795tEpnDpmzva7X9Lfr53vqmUCiUH4mG/v/+4Q31r8HUqVNJ9+7dv/UwmoXy8nIiJydHPD09SUlJidAylZWVpEuXLsTKyopcvHiRpKWlkVOnTpGzZ88SQggJDw9n6czHxsYSBQUFEhERQdLS0sjFixeJgYEB8fPzY8oAIDo6OmT//v3k6dOnZO7cuUROTo68f/+eEELIy5cviYqKChkxYgS5ffs2SUlJIbt27WL00vft20e0tLTIkSNHSHp6Ojly5AhRUVEhERERQufQt29fYmRkJFJzv7auurOzM9HV1SVHjx4laWlpJDo6mhw8eJBUVFSQI0eOEAAkJSWFvH79mnz48IFpw87Ojujo6BBCCPnpp5+IhYUFiY2NJffv3yeOjo7ExMSE0aIPDw8nkpKSpG/fvuT27dvkzp07xMLCgowfP76ep/Y/mltH/eLFi0K11EXpqCcnJ1cb8X37ksWLF5NevXoxOuiVlZVk6dKlpH///mTMmDFk6NChAjroFAqFQqH8F2jo/+9/RehLU/Pbb7+hX79+kJWVxblz57B7926WLOK/CQkJCURERGDatGkICwtDu3bt4ODggLFjxzKbv6Kjo3Hr1i0kJyfDzMwMQLVcoSj8/f2xdOlSuLq6MmVXrFiBxYsXw9fXlynn5uaGcePGAQBWrlyJjRs34tatW3BycsKWLVugqKiIgwcPMpsR+X0DgK+vL4KDgzFixAgA1RJwSUlJ+OOPPzB69GiEhYXB0dER4uLiOHDgAKKjo9GvXz+cPn2aFQc9YMAAHD58mDX+1NRUREVF4a+//kLfvn0F5ssPTVJXV8f+/fvRsWNHqKqqIicnB+np6Vi0aBGePn2KkydPMvsBgGp9d11dXRw/fhyjR48GUL0JOSwsDMbGxgCA2bNnIyAgQOTalpaWorS0lLlvbh11/l4Mvm46AEZTHajWUa/JtWvXAFTPS0dHBzdv3mTpoE+YMAHx8fHIzs6Gs7MzoqKicOLECWY9KBQKhUKh/A9qqAvh1q1bWLt2LT5+/MjoZ0+dOvVbD6vZGDlyJAYNGoS///4bN27cwLlz57B27Vrs2LEDbm5uuH//PnR0dFiGcl08ePAAcXFxLI3tyspKlJSU4NOnT5CRkQHAlliUlZWFgoICs2Hz/v376NGjh4DyDFCtyJKWlgZ3d3dMmzaNSa+oqICioiI4HA7Onj2LoKAglJSUwNzcHEeOHMHJkyfRq1cv1uFHsrKyAu3fv38f4uLijBxjXTx9+hSBgYHIzc2FmJgY2rVrBz8/P5w9exYSEhLo3LkzU1ZVVRXm5uZITk5m0mRkZBgjHWBLYArja+uo79q1q878unTU+Xscauqg19Ta5ssq1tZBp1AoFAqFUg011IVQ+4TO/wLS0tLo168f+vXrh+XLl2Pq1Knw9fWFm5tbgzaI1qSwsBD+/v6Mt7t2P3zqkn+sq0/+xsbt27ezDGGgepMhj8dDdHS0QL2TJ09CVlaWdfqoMBoz35CQEISEhAColmds06YN6xTN+hC2BkTEibJA9abiBQsWMPcFBQWftWm6oUyZMqVOY33ZsmXMIVsAEBsbi3379gH4n/RifHw8Bg8eDICttc030GvroFMoFAqFQqmGyjPWg4GBATZs2NDg8k2lKf6l9OzZkzkN83OwtLREUVERgGrP98uXL5Gamtqguu3atUNKSopQScLaR4wLg8PhQFJSEn///bdQfXoNDQ1oa2sjPT1doH1RpyM2hKSkJCgpKcHa2hpVVVW4evWq0HJ8A/Tq1avgcDhCJSktLCxQUVGBmzdvMmnv379HSkoKLC0tP3uMX1NHfdu2bYySkYCWuggd9XHjxkFFRQVcLhcvX76EmJgYo4NeVVWFffv2MRKgFy9ehJiYGPT09LBz507s3LkTd+7cEZAqraysxL1793Dp0iXcu3evXinTL+Fr9kWhUCgUSn380B71t2/fwsfHB2fOnEFOTg6UlZVha2sLHx8fRsf5S7l9+7bQ8IgvgcPh4NixYxg2bNgXtxUTE4NevXohLy+P9YJw9OhRoWEjtXn//j1Gjx6NKVOmwMbGBvLy8khISMDatWuZg2QcHBxgb2+PkSNHYv369TAxMcGTJ0/A4XDg5OQk0KaPjw8GDx4MPT09jBo1CmJiYnjw4AESExMRGBjYoHkNGjQI0dHRGDt2LLy8vKCoqIgbN26gU6dOMDc3h7+/P2bNmgVfX1/Y29tj06ZNSEhIQF5eHsvjLAoDAwN4enqyXmbMzMywb98+qKurw9XVFVOmTMHGjRtha2uL58+f482bN3B2doa+vj44HA7evXuHR48eCdWHNjU1xdChQzFt2jT88ccfkJeXx9KlS9GyZUvWAT3fK9LS0jAzM0NOTg4kJKXAS//fSwtfU11CQhLv379HTk4OI9MoKysLT09P+Pj44ObNm2jRogXevXuHYcOGQUFBgfGif/z4EUVFReByuawDkvbu3QslJSUsWLAA9vb2iI2NRWhoKLKzs5kympqa8PDwaHLJv6/ZF4VCoVAoDeGH9qiPHDkS9+7dw+7du5GamoqTJ0+iZ8+edR7U01jU1NSYmOofCRUVFcjLy9dbTk5ODp07d0ZISAjs7e3RunVrLF++HNOmTcPmzZuZckeOHEHHjh0xbtw4WFpaYvHixSK9jY6Ojjh9+jQuXryIjh07okuXLggJCWGFSNSHvLw8Ll++jMLCQjg4OKB9+/bYvn078/IxdepUdO3aFaqqqrh69Sp69OiBiIiIL/KoS0hIQF1dHQCwdetWjBo1Ch4eHmjVqhWmTZvGfMPQsmVL+Pv7w9vbGzY2NpgzZ47Q9sLDw9G+fXsMHjwYdnZ2IITg7NmzDXqB+p7giEivqCiHl5cXJkychJycHCbd3t4eAQEBUFJSwrt37wBUhyvVjEUvLi4GUL051traGsHBwVi/fj2sra3x4cMH+Pj4ICwsDL6+vjAyMsKWLVtw9uxZbNmyBUZGRvD19UVsbGyTzTE2Nvar9UWhUCgUSoP5Kho0zQBf/zwmJqbOcs+fPyc//fQTkZWVJfLy8mT06NEC2s8nT54kHTp0IFwul6iqqpJhw4YxeXxdcD7BwcGkdevWREZGhujo6JCZM2eydKBrSxUKAzW03YXppd+7d4/RUyeEkMzMTDJ48GCipKREZGRkiKWlJTlz5gyjC1/z4uuA15YbLCkpIYsXLyY6OjpESkqKGBsbkx07djD5jx49Ik5OTkRWVpaoq6uTCRMmkLdv34qcw7t378jYsWOJtrY24fF4pHXr1mT//v2sMg4ODmTOnDlk0aJFRFlZmWhoaBBfX19WmdTUVNKjRw/C5XKJhYUFuXjxImt9RPHx40ciJydHnjx5QsaMGUOCgoIEyoh6rg4ODgLrRgj72aWkpBAAJDk5mdXm+vXriZGRESFE8NmJek41y54/f560adOGSEtLk169epGcnBxy9uxZ0qpVKyIvL0/GjRtHioqK6px7TZpbR/3hw4eMPGOHmcEsicYOM4NFyjQSUq2pnZCQQMLCwsiqVavImjVrSEhICDl48CBxdnYm/fv3J0uXLiWVlZVMHb6EY79+/Ujv3r0F8vllvLy8yNixY5tEp7uiooKMGTOGeHl5NXtfFAqFQqEQ0vD/3z+sR11OTg5ycnI4fvw4S66uJlVVVRg6dChyc3Nx9epV/PXXX0hPT8eYMWOYMmfOnMHw4cMxcOBAJja1U6dOIvsVExPDxo0b8fjxY+zevRuXL1/G4sWLm3x+NZk1axZKS0sRGxuLR48eYc2aNZCTk4Ouri6OHDkCAEhJScHr16/x+++/C21j0qRJOHDgADZu3Ijk5GT88ccfjEzhhw8f0Lt3b7Rt2xYJCQk4f/48cnJy4OzsLHJMJSUlaN++Pc6cOYPExERMnz4dEydOxK1bt1jldu/eDVlZWdy8eRNr165FQEAA/vrrLwDVz2fEiBGQkpLCzZs3ERYWxgqDqIuoqCi0atUK5ubmmDBhAnbt2sXahFnXcz169Ch0dHQQEBCA169fMxKENTEzM0OHDh0QGRnJSo+MjMT48eOFjknUc6qJn58fNm/ejOvXr+PFixdwdnbGhg0bsH//fpw5cwYXL17Epk2bRM67tLQUBQUFrKs5yMrKwvTp03Hv3j0A1fKMVbItGGnGKp5S9f3/yzY+f/4cqamprCstLQ3y8vIwMjLC+fPnMWzYMHh6ejIhNaWlpZgwYQJr34KYmBgmTJiAsrIyVFZWolOnTgL7GsTExODi4oLXr1/j4cOHXzzXhw8fIjs7Gy4uLs3eF4VCoVAojeGHjVFviP73pUuX8OjRI2RkZDDKGHv27IGVlRVu376Njh07IigoCGPHjmVJ3tna2orst2ZMs4GBAQIDAzFjxoxm1VnPysrCyJEjYW1tDUC0preoTaz16YJv3rwZbdu2xcqVK5m0Xbt2QVdXF6mpqUJlGVu2bImFCxcy93PmzMGFCxcQFRXFetGxsbFhtNNNTU2xefNmXLp0Cf369UN0dDSePHmCCxcuMMofK1euxIABA+pdk507d2LChAkAACcnJ+Tn5+Pq1avo2bMnANT5XFVUVCAuLg55eXloamqK7MPFxQWbN2/GihUrmHW8c+cOo2pSm7qeE5/AwEBm/4S7uzu8vLyQlpbGlB01ahSuXLki8oXle5Nn5FOXTGNtcnNzmd+FhSrVTKupEiSsTM22Phd+G6LCppqyLwqFQqFQGsMP61EHqmPUX716hZMnT8LJyQkxMTFo164dIiIiAADJycnQ1dVlyddZWlpCSUmJ0bK+f/8++vTp0+A+o6Oj0adPH7Rs2RLy8vKYOHEi3r9/j0+fPjXp3Goyd+5cxsDz9fVttGevPl3wBw8e4MqVK8y3FHJycmjVqhUAIC0tTWidyspKrFixAtbW1lBRUYGcnBwuXLiArKwsVrmaWukAWyec/3xqyvPV1NwWRUpKCm7dusUcliQhIYExY8Zg586drDk35rkKY+zYscjMzMSNGzcAVHvT27Vrx6xNbRrynGquh4aGBmRkZFgGvYaGRp066l5eXsjPz2euFy9efO70GsSUKVMaVG7ZsmXYtm2b0GvZsmWssvyXS4At1ygsraSkRGh//DI12/pc+G0IG0tT90WhUCgUSmP4oQ114H/638uXL8f169fh5ubGOv2yPhqjmZ2ZmYnBgwfDxsYGR44cwZ07d7BlyxYA/zvcpbHwv2qvGbZRW5Jw6tSpSE9Px8SJE/Ho0SN06NChzvCI2tQ3x8LCQgwZMgT3799nXU+fPhWpdrFu3Tr8/vvvWLJkCa5cuYL79+/D0dFRYB3q0kr/XPhyf9ra2pCQkICEhAS2bt2KI0eOID+/WjawsdrvwtDU1ETv3r2xf/9+AMD+/fvh4uIisnxDnlPN9eDLUNakvvX5WvKMfLS0tAD8vzxj0Tu2RGPRO5EyjTWv2puIbWxsoKmpCS6Xi3379rHmy5dwlJKSgri4OG7duiWwHlVVVYiMjISWlpbAi+DnwB9PZGRks/dFoVAoFEpj+GFDX0RhaWmJ48ePA6jWsn7x4gVevHjBeNWTkpLw4cMHRsvaxsYGly5dwuTJk+tt+86dO6iqqkJwcDBjYH/p4UhqamoAqo9qV1ZWBlDtDa6Nrq4uZsyYgRkzZsDLywvbt2/HnDlzGE3vuvSea+qC80NfatKuXTscOXIEBgYGDT6sJy4uDkOHDmXCT6qqqpCamtoojXD+83n9+jVjEPK916KoqKjAnj17EBwcjP79+7Pyhg0bhgMHDmDGjBn1PlcpKSlmzfgHFbVp00agnIuLCxYvXoxx48YhPT0dY8eOFdoev40NGzYIfU4/GnwddWlpaUhKcYF0tqY8X6IRACSluFBUVBTaTlJSEjw8PAAA06dPF8iPj49H7969ISMjg8rKSpSXlzPGsrm5OeLj4zFixAj07NkTbdu2RXx8PB49eoR//vkHfn5+QqUxG4u4uDg8PDzg6+sLb29vuLi4wNDQEBkZGYiMjER8fDz8/f2bpC8KhUKhUBrDD2uoN0T/u2/fvrC2toaLiws2bNiAiooKeHh4wMHBAR06dAAA+Pr6ok+fPjA2NsbYsWNRUVGBs2fPCo0RNjExQXl5OTZt2oQhQ4YgLi4OYWFhXzQPExMT6Orqws/PD0FBQUhNTUVwcDCrjKenJwYMGAAzMzPk5eXhypUrsLCwAABG0/v06dMYOHAgeDyewAZGAwODOnXBZ82ahe3bt2PcuHFYvHgxVFRU8OzZMxw8eBA7duwQqRP+559/4vr161BWVsb69euRk5PTKEO9b9++MDMzg6urK9atW4eCggKBMInanD59Gnl5eXB3dxcwDkeOHImdO3dixowZQp+rm5sb7t69y5RfuHAhFi5ciAsXLsDOzo7ZmFuTESNGYObMmZg5cyZ69eqF1NRUtGzZEnl5eaxyR48ehbe3Ny5cuCD0Of1o8HXUAWDf3j1IT09nToStiZycHIyMjBgd9Zrw9ws0BGGhYykpKQCqNzsfP36ceQHns2HDBoiJiTWJxrm9vT38/f0RGhqKWbNmMelaWlrw9/enOuoUCoVC+Sb8sIZ6Tf3vtLQ0lJeXQ1dXF9OmTcOvv/4KoDqM4MSJE5gzZw7s7e0hJiYGJycnVjhCz549cfjwYaxYsQKrV6+GgoKCyH/Ktra2WL9+PdasWQMvLy/Y29tj1apVmDRpUoPHzfcW8j3XkpKSOHDgAGbOnAkbGxt07NgRgYGBGD16NFOnsrISs2bNwsuXL6GgoAAnJyfm2Hq+pvfSpUsxefJkTJo0iYnRr8nWrVvx66+/wsPDA+/fv4eenh6zTtra2oiLi8OSJUvQv39/lJaWQl9fH05OTiJPEvX29kZ6ejocHR0hIyOD6dOnY9iwYUzoSUMQExPDsWPH4O7ujk6dOsHAwAAbN24UeogSn507d6Jv375CPbgjR47E2rVr8fDhQ6HPVUZGBk5OTggPD8edO3ewaNEipKWlwdHRkRV6VBN5eXkMGTIEUVFRdW6s5G9QFfWcfjRKSkqQlZUFPT09AICPrx/KywTVlSSluNi3d49AemOM9MbCPyvh0aNH8PHxQUBAQJMZ6926dcPDhw+Rm5sLFRUV2NjYUE86hUKhUL4ZHCLKQqE0C9nZ2dDS0sLt27cZrz7l6+Dm5sZ4Z2tSM2wFqJZA9PHxwf79+/HmzRvo6urCy8sLffr0EVAGcXV1RUREhEAbeXl5mDdvHk6dOoXS0lI4ODhg48aNMDU1BQBERETA09MThw4dgqenJ168eIHu3bsjPDycCQNqCAUFBVBUVER+fn6TxqunpqZi+vTp2LZtG4DqsJViIweAEPAyYlFsaA9wOOClX8W2bdtYykA1w12aCiUlJXz69Anl5eUQExPDmTNn4O/vj7t370JZWRmRkZHUoKZQKBTKD0ND/3//8JtJfxQIIcjMzERgYCA0NDTQunXrbz0kighEac43Rrfezc0NCQkJOHnyJOLj40EIwcCBA1kbhT99+oTffvsNe/fuRWxsLLKysliSl8L4WjrqfJ4/f47nz58D+H8t9Zo66iI01JvaSAeA/v37o6ysDIQQVFZW4tSpU5gwYQJKS0uRnZ1NNc4pFAqF8q/khw19+dHIz8+Hubk5LCwscPDgQZH60JTm5fTp06wY/tqa7fVpzjdEt/7p06c4efIk4uLi0LVrVwDV0o66uro4fvw4E9ZUXl6OsLAwGBsbAwBmz56NgICAOsf/tXXUG6KP3hgN9c+lpoQnALx69QqDBg1i7qnGOYVCoVD+jVBD/SuhpKQk8gRVytejV69e2Lp1K3MvKyvL6LED9WvON4Tk5GRISEigc+fOTJqqqirMzc0Z/X4AkJGRYYx0gK0xLwovLy8sWLCAuS8oKGCdE9DU8Df31mWML1u2jCXBKEzd5Ut59eoV615bW5ule041zikUCoXyb4Qa6pT/FLKysjAxMRGZ3xT66w1FmIZ6fVtGuFwuuFxucw6LRU0DXKwkH/j/8YkVfwA4HKZMzRj10NDQJg9/uXjxIqSkpJgY9SFDhsDf3x9cLhfKyspU45xCoVAo/0pojDqlyfHz8xOqSf4jUFNzXhh16db//vvvOH78OCwsLFBRUYGbN28yee/fv0dKSkqj5Cu/JXwddT09PSgqKkJSigte+lVGP52XEQte+lWhGurNMccPHz4wMeo9evTAokWLEB8fj9LSUnh4eNCNpBQKhUL5V0I96p/J27dv4ePjgzNnziAnJwfKysqwtbWFj48PunXr1uz9GxgYwNPTE56ens3eV1OTmZnJUk9RVlaGtbU1AgMD0aNHj284svo15/ke5rZt2+LOnTss3fqpU6diwIAB4HK5GDp0KKZNm4Y//vgD8vLyWLp0KVq2bMlo/H/v1NRRz8/PR4C/H6OjLicnB1VVVQCAoqKiUA31mJiYZpNojImJAVAdTrZgwQKqcU6hUCiUfy3UUP9MRo4cibKyMuzevRtGRkbIycnBpUuX8P79+2btt6ysjPHq/uhER0fDysoK7969Q1BQEAYPHozU1FShhl9TUPt4eFHUpTnfsmVL9OzZE9euXYOGhgZLt15WVpYJSwkPD8e8efMwePBglJWVwd7eHmfPnhUId/le4euoS0tLw33qNJaGOl87veZzqqm7zt8oHRMTU69Uo4SEBFRUVFBSUoKKigrIy8vDwsICZmZmyM/Px7NnzyAtLQ1ra2sYGhoiMTERAJiTZKknnUKhUCj/agil0eTl5REAJCYmps5yAEhoaChxcnIi0tLSxNDQkBw+fJhV5uHDh6RXr15EWlqaqKiokGnTppGPHz8y+a6urmTo0KEkMDCQaGlpEQMDA+Lg4EAAsC5CCMnMzCSDBw8mSkpKREZGhlhaWpIzZ86IHN+ePXtI+/btiZycHNHQ0CDjxo0jOTk5TP6VK1cIABIdHU3at29PeDwesbOzI0+ePGG1s2rVKqKurk7k5OTIlClTyJIlS4itra3IfjMyMggAcu/ePdY6ACAnTpxg0h49ekScnJyIrKwsUVdXJxMmTCBv375l8isrK8maNWuIsbExkZKSIrq6uiQwMJDVx8GDB4m9vT3hcrkkPDycEELI9u3bSatWrQiXyyXm5uZky5YtrPEtXryYmJqaEh6PRwwNDYm3tzcpKysjhBASHh4usPb8dgGQY8eOsebUkGe7bt06oqmpSVRUVIiHhwfTV0PIz88nAEh+fn6D6zSElJQU4uDgQC5evEgcHBxI5/HzWT9TUlKElq+dTqFQKBQKRZCG/v+mMeqfgZycHOTk5HD8+PF6lVyWL1+OkSNH4sGDB3BxccHYsWMZ5Y+ioiI4OjpCWVkZt2/fxuHDhxEdHY3Zs2ez2rh06RJSUlLw119/4fTp0zh69Ch0dHQQEBCA169f4/Xr1wCAWbNmobS0FLGxsXj06BHWrFnDkiKsTXl5OVasWIEHDx7g+PHjyMzMhJubm0C5ZcuWITg4GAkJCZCQkMCUKVOYvKioKPj5+WHlypVISEiAlpYWQkNDG7qUAIDi4mLs2VN9uiX/24IPHz6gd+/eaNu2LRISEnD+/Hnk5OTA2dmZqefl5YXVq1dj+fLlSEpKwv79+wW88UuXLsW8efOQnJwMR0dHREZGwsfHB0FBQUhOTsbKlSuxfPly7N69m6kjLy+PiIgIJCUl4ffff8f27duZE0bHjBmDX375BVZWVszajxkzRmBODX22V65cQVpaGq5cuYLdu3cjIiJC6MmyfL62jjr/s0Wk5Fg/a2un87XWKRQKhUKhNCFf6cXhX8eff/5JlJWVibS0NOnatSvx8vIiDx48YJUBQGbMmMFK69y5M5k5cyYhhJBt27YRZWVlUlhYyOSfOXOGiImJkezsbEJItddVQ0ODlJaWstrR19cnISEhrDRra2vi5+f32XO6ffs2AcB4fWt61GuODwApLi4mhBBiZ2dHPDw8BObYEI86j8cjsrKyhMPhEACkffv2jDd5xYoVpH///qx6L168IABISkoKKSgoIFwul2zfvr3OPjZs2MBKNzY2Jvv372elrVixgtjZ2Ykc77p160j79u2Ze19fX6HzQw2PekOfrb6+PqmoqGDKjB49mowZM0bkWHx9fQU8+mhGjzr/6uS2nPVT1EU96hQKhUKh1A/1qDczI0eOxKtXr3Dy5Ek4OTkhJiYG7dq1E/CG2tnZCdzzPerJycmwtbWFrKwsk9+tWzdUVVUhJSWFSbO2tm5QXPrcuXMRGBiIbt26wdfXt97TGu/cuYMhQ4ZAT08P8vLyjHZ4VlYWq1xN6Tv+8fZ8ve/k5GSWXriwOYvi0KFDuHfvHo4cOQITExNEREQwMdwPHjzAlStXmG8v5OTk0KpVKwBAWloakpOTUVpaij59+tTZR4cOHZjfi4qKkJaWBnd3d1a7gYGBSEtLY42rW7du0NTUhJycHLy9vQXWpD4a+mytrKxYcdb1aal7eXkhPz+fuV68eNGocTWWmt+e1GTZsmXYtm0bc/H11ikUCoVCoTQddDPpFyAtLY1+/fqhX79+WL58OaZOnQpfX1+h4SNfQk1jry6mTp0KR0dHnDlzBhcvXsSqVasQHByMOXPmCJTlh2bww0HU1NSQlZUFR0dHlJWVscrW3ADJ+X/t7IZuzKwLXV1dmJqawtTUFBUVFRg+fDgSExPB5XJRWFiIIUOGYM2aNQL1tLS0kJ6e3qA+aq4dX7Vk+/btAi8XfGM5Pj4eLi4u8Pf3h6OjIxQVFXHw4EEEBwd/7jTrRJiWel1r+7V01PnyjPzQLk5ZIeunmpoa1q5di2fPnrHqTZ8+HRISElBSUkJZWRkqKysZrXN5eXlUVFRAU1MTjo6OaNeuHeslpbKyEg8fPkRubi5UVFSYF8TaaaI2kAqr35DNpp9bj0KhUCiU5oYa6k2IpaUljh8/zkq7ceMGJk2axLpv27YtAMDCwgIREREoKipiDMq4uDiIiYnB3Ny8zr6kpKSEannr6upixowZmDFjBry8vLB9+3ahhvqTJ0/w/v17rF69mjnZMiEhoVHz5c/h5s2bAnNsLKNGjYKPjw9CQ0Mxf/58tGvXDkeOHIGBgQEkJAQ/pqampuDxeLh06RKmTp3aoD40NDTA4/EwYcIEANVGsp6eHiZNmsSouly/fh36+vosD3Ht+GtRaw9UG6qZmZlf9Gy/B/jyjI8fP4aEhCSk/7lbnf7/P+uSBa2oqMC7d++Y+6KiIuTm5jL3iYmJiI6OhoyMDJYuXQp7e3vExsYiNDQU2dnZTDklJSUA1fsV+GhqasLDw0NAklFYfVFlm6IehUKhUChfAxr68hm8f/8evXv3xr59+/Dw4UNkZGTg8OHDWLt2rYBO9uHDh7Fr1y6kpqbC19cXt27dYjYUuri4QFpaGq6urkhMTMSVK1cwZ84cTJw4sV6JQgMDA8TGxuKff/5hjCJPT09cuHABGRkZuHv3Lq5cuQILCwuh9fX09CAlJYVNmzYhPT0dJ0+exIoVKxq9FvPmzcOuXbsQHh7OzPHx48eNbofD4WDu3LlYvXo1Pn36hFmzZiE3Nxfjxo3D7du3kZaWhgsXLmDy5MmorKyEtLQ0lixZgsWLF2PPnj1IS0vDjRs3sHPnzjr7adOmDcTExLBixQpcuHABY8eOhZ+fH/PcTE1NkZWVhYMHDyItLQ0bN27EsWPHWG0YGBggIyMD9+/fx7t374RuKK7r2bZo0aJJvpFobnJycjDPcz4qKsoBABKSklBRUWmy9j99+gQfHx+EhYXB19cXRkZG2LJlC86ePYtp06bhw4cP+PDhA6ZNm4azZ89iy5YtMDIygq+vL2JjY5l2YmNjBeqLKluTz61HoVAoFMrXghrqn4GcnBw6d+6MkJAQ2Nvbo3Xr1li+fDmmTZuGzZs3s8r6+/vj4MGDsLGxwZ49e3DgwAHm5EYZGRlcuHABubm56NixI0aNGoU+ffoItCGMgIAAZGZmwtjYGGpqagCqv8KfNWsWLCws4OTkBDMzM5EKLGpqaoiIiMDhw4dhaWmJ1atX47fffmv0WowZMwbLly/H4sWL0b59ezx//hwzZ85sdDsA4OrqivLycmzevBna2tqIi4tDZWUl+vfvD2tra3h6ekJJSQliYtUf2+XLl+OXX36Bj48PLCwsMGbMmDrjuwHAzMwMbdu2xZEjR+Dk5ITQ0FAoKiri2bNnyMvLw59//glxcXGMGzcO5ubmuHDhApYvX87Uv3btGrZs2YLi4mK0a9eOWUc+b9++xfz58yErK4vXr18jNzcXbdu2RZ8+fWBiYoIbN26Ay+Xi2rVr2LNnD0pKSljju3r1Ku7du/dZ69eUlJSU4OHDh6gorw6DKmnZDhXl5SzP+JcgJSXFhFFFRUWhS5cuCAwMhJWVFbhcLk6dOgU7OzvY2dnh9OnT4HK5sLKyQmBgIOzs7LB161ZUVlaisrISoaGhsLOzY+rLyMgILVuTz61HoVAoFMrXhEMIId96EP9WOBwOjh07hmHDhn3roVD+Hzc3N3z48IEVojR06FC8fPkSOjo6ePr0Kf744w8oKChgyZIlSEtLQ1JSEiQlJZGWlgZbW1sEBgZi0KBBePv2LWbPng1bW1uEh4cjNzcXtra2mD59OqZNmwagOowiIiIC06dPR8eOHbFu3TqoqqpCV1cXbdu2xdSpU7Fo0SIA1XKZ2traWLt2LSZPnix0/KWlpSwPfkFBAXR1dZGfnw8FBYUmW6fU1FRMnz6duS82tAcvo/k8zPPmzcPw4cMBAPfu3cP8+fOxZcsWANWyoyEhIUzI2OPHj5k0AExZKysrgXZrluXXr91HY+pRKBQKhdIUFBQUQFFRsd7/39SjTvnPQghBdHQ0Lly4AD09PZw8eRI7duxAjx49YGtri8jISPzzzz+MUb9q1Sq4uLjA09MTpqam6Nq1KzZu3Mh4xlVUVCAuLg55eXloampCU1OT6au8vByhoaHo2rUrzM3NISMjA3d3d4SHhzNlTp06hZKSEpZWfG1WrVoFRUVF5uLvL/jR4Z9mCoDx2hsaGsLQ0JCVxk/np9UsKwxh9Wv30Zh6FAqFQqF8TaihTvnPcfr0acjJyUFaWhoDBgzAmDFj4ObmBgkJCZYajKqqKszNzRk5zQcPHiAiIoIl7ejo6IiqqipkZGTU2aeUlBRL5hKo9u4/e/aM2XwbEREBZ2fnOlV+vrY849eiZggQPw4+IyODWdeasfE102qWFYaw+rX7aEw9CoVCoVC+JlT1pRmhUUXfJ7169cLWrVshJSUFbW1tSEhI4OTJk/XWKywsxM8//4y5c+cK5Onp6dVZl8fjMTHZfNTV1TFkyBCEh4fD0NAQ586dQ0xMTJ3tfC15xuZGSkoK5eXlIIRATEwMt27dwtChQyEmJgYbGxtoampi3759AKrlOPkvOVVVVYiMjGSlaWpqIjIyEoGBgcz+BVFl+fD7aGw9CoVCoVC+JtSjTvnPISsrCxMTE+jp6THSjxYWFqioqMDNmzeZcu/fv0dKSgqz+bddu3ZISkqCiYkJc127dg0dOnRgDqSqS7pRGFOnTsWhQ4ewbds2GBsbo1u3bk04089HT0+PJVFZUz+9KSgrK2NeZDt37oz4+Hj8+uuvOHbsGM6dOwcDAwPEx8cjPj4eAwYMQGlpKR4/fgxvb2/Ex8dj5syZEBcXh7i4ODw8PBAfHw9vb288fvwYnz59EloWqN5Eeu/ePcTExGDAgAG4fv16g+pRKBQKhfItoJtJKf8phG0mBYAXL16ge/fuePXqFYBqg1RKSgpiYmJISUmBpKQkWrZsibdv32L69OmYOnUqZGVlsWnTJvzxxx/MBs/+/fuDx+MhNDQUXC4XLVq0QEREBDw9PVl64HyqqqpgYGCAnJwcBAQEYMmSJY2aT0M3o3wOOTk5cJkwkVF+kZCQxIoVAVi/fj3evn3bpH01FC0tLcycObNBOuq1yzZUq11UHxQKhUKhNBUN/f9NQ18o/3nS09NhZ2cHIyMjtGrVCvHx8Xj//j2kpKTQokULfPz4ESoqKpCUlMTs2bORmJiIHj16gBACZWVlVthEQEAAfv75ZxgbG6O0tLTe8CcxMTG4ublh5cqVrEOjysvLBU4t/dpoaGjg9w0hmOfpiYryclRUlMPLy0ugHAEHHPxvnvyTSYuKilBcXCxQnsPhCF0XWVlZFBUVQVNTE/b29sjMzMStW7egq6uLFy9eYPLkyZgwYYJQL7e9vT26desm8oRRvma6nZ0dli9fDkNDQ2RkZCAyMhLx8fGYPHkydHR06MmkFAqFQvmuoB51yn+eAQMGIDExEampqeDxeEx6dnY2jI2NMWnSJCQnJ+Pq1auseoQQxlt+6NAheHp6Mp758PBwaGlpMWV37NiB4OBgZGRkwMDAAHPnzoWHhwcAwNnZGYcPH8bBgwcRGhqKmzdvIiwsDG5ubvWOvbk86iUlJcjKykJpaSnmzJmDYiMHVEkrQqz4A3gZsSg2tEcVTwliJfngpV/Ftm3bYGZmxtSvrKzEuHHjBHTtjxw5glmzZqGkpETgGwZ1dXWUl5eDy+UiMjISHA4H3t7eSE9Ph6GhITIzM7Fv375GG9GVlZVwcXGBkZGR0Hh0b29vZGRkfFbbFAqFQqF8DlSekUJpALm5ubhw4QI8PDxYRjpQvUnRxcUFhw4dwpEjR6Cjo4OAgAC8fv0ar1+/Zsp9+vQJv/32G/bu3YvY2FhkZWVh4cKFTH5kZCR8fHwQFBSE5ORkrFy5EsuXL8fWrVtx7do1nDhxAgCwdOlSzJs3D8nJyXB0dBQ63tLSUhQUFLCu5iArKwvTp09nDl+qklZElWwLVPGUqu95StX30ooAgOfPnyM1NZW5zp49K/TwqevXryM7OxtTp04VyHvz5g3c3d2RnZ2Nhw8fQkxMDC4uLsjOzkanTp3w+vVrPHz4sNFzefjwIbKzs+Hi4sIy0gEwfXxu2xQKhUKhNCc09IXyn+bp06cghMDCwkJovoWFBfLy8lBZWcnSSK9JeXk5wsLCYGxsDACYPXs2AgICmHxfX18EBwdjxIgRAKo1upOSkrB06VKUl5fDxcUF4eHh8PT0ZMqIYtWqVfD39/+SKTeKXbt2NahcUFBQg8rl5+cDAOzs7ITm89Nr65zzlW4+R9ecaqZTKBQK5UeFGuoUCr5MSlNGRoYx0oHqzYh8b3JRURHS0tLg7u7OnFYKABUVFcxXXpmZmQgPD0eHDh3q7cvLywsLFixg7vknkzYXU6ZMaZCxvmzZMujr6zP3KSkpCA4OFiinqFjtgY+PjxfaDj+9ts45f7Pu5+ia12xL2CmkVDOdQqFQKN8r1FCn/KcxMTEBh8NBcnIyc4R9TZKTk6GsrFynLGHtTZ81N0sWFlbLGm7fvp11mBIAgXjoug464vO1ddT5cfZiJdWecLHiD+yf/5+ur6/PilE3NjbG3r17BcJfdHV1oampiR07dgj0pa6ujp07d0JTUxM2NjaMnrmmpiZu3br12brmVDOdQqFQKD8qNEadUicxMTHgcDhCpQWbGzc3NwwbNqxZ+1BVVUW/fv0QGhoqoFCSnZ2NyMhIjBkzBpMnT8a7d+9EaqT7+fmhTZs2AukaGhrQ1tZGeno6S3/dxMREZCjG94Cenh62bdsGc3NzSEpxwUu/Ctmkk+BlxAIAeBmx1ffpVyEpxWU85Xz4+ua18fT0xLt374R+noqKipCXlwd5eXmcPXsWXl5euH79OhQVFXHjxo3P1jVvrNY6hUKhUCjfC9Sj/gPh5uaG3bt3C6Q/ffoUJiYm32BE3x5CCLZv346dO3fi8ePHkJCQgImJCSZMmIDp06dDRkam3jY2b96Mrl27wtHREYGBgTA0NMTjx4+xaNEitGzZEkFBQViwYAFkZGQQGxuLsWPHMhrpfBYuXIg5c+YIbd/f3x9z586FoqIinJycUFpaioSEBOTl5bHCWL4npKWlGQ/5hpD1jL58TeTk5KCqqgpFRUVoaGiw8mJjYxEWFia07YqKCqHp/Belp0+fssJmCgoK4O/v/0W65vb29vD390doaChmzZrFpGtpaX1x2xQKhUKhNBfUUP/BcHJyQnh4OCutqU6L/BGZOHEijh49Cm9vb2zevBlqamp48OABNmzYAAMDgwZ55E1NTZGQkABfX184OzsjNzcXmpqaGDZsGHx9fZnYZQsLC2RmZgrVSJeTk4OcnJzQ9qdOnQoZGRmsW7cOixYtgqysLKytreHp6dkUS9As8OUZpaWl4Tl/AcrLSgXKSEpxsW/vHqFGuq+vL6ytrbFkyRKYmpri7NmziIyMZDaTSkhIwNzcHKNGjUJWVhZu3bqFpKQkTJ48Gdra2vjw4QOUlJTQokWLJtM1r09rnUKhUCiU7w0a+vKDweVyoampybr4hsbVq1fRqVMncLlcaGlpYenSpSzvZWlpKebOnQt1dXVIS0uje/fuuH37Nqv9s2fPwszMDDweD7169UJmZma9Y1q/fj2sra0hKysLXV1deHh4MLHZABAREQElJSVcuHABFhYWkJOTg5OTE0visLKyEgsWLICSkhJUVVWxePHiejd4RkVFITIyEgcOHMCvv/6Kjh07wsDAAEOHDsXly5fRq1cvANVxyAEBAdDR0QGXy0WbNm1w/vx5VlsFBQXIyspCfn4+5OXl4eTkhJUrV0JVVZUpo6ysjAcPHqCkpAS3bt2CmpoacnJy8OHDB1boy7Bhw+Dq6ophw4bht99+g5aWFubMmYOuXbuisLAQubm5uHr1Krp06YJBgwbBwsICBgYGSEpKgoGBATZs2FDvmjc3fHnGlJQUlJeVotjIAcWG1V7nYkN7FBs5oLyslDG8+VRWViI0NBTW1tZ4+PAhZGVlIScnB2dnZ/z5559MjP25c+ewZcsW9OrVC66urti0aRPs7Oxw/vx59O7dG6NHj0a/fv3Qtm3bJjWkxcXF0bZtW/Tp06fJ26ZQKBQKpamhhvq/hH/++QcDBw5Ex44d8eDBA2zduhU7d+5EYGAgU2bx4sU4cuQIdu/ejbt378LExASOjo6MLN2LFy8wYsQIDBkyBPfv38fUqVOxdOnSevsWExPDxo0b8fjxY+zevRuXL1/G4sWLWWXq0xoPDg5GREQEdu3ahWvXriE3NxfHjh2rs9/IyEiYm5tj6NChAnkcDoeJm/79998RHByM3377DQ8fPoSjoyN++uknPH36FEB1bLSjoyOUlZVx+/ZtHD58GNHR0Zg9e7bQfi9fvox+/fohKCgIS5YsETm+K1euIC0tDVeuXMHu3bsRERGBiIgIJn/SpEl49eoVYmJicOTIEWzbtk2o9nhNvpaOOh/+y1SVtCJbQ70O/fTs7Gy0a9dOoK3ExESUlpaitLQUiYmJrDyqZ06hUCgUihAI5YfB1dWViIuLE1lZWeYaNWoUIYSQX3/9lZibm5Oqqiqm/JYtW4icnByprKwkhYWFRFJSkkRGRjL5ZWVlRFtbm6xdu5YQQoiXlxextLRk9blkyRICgOTl5TV4nIcPHyaqqqrMfXh4OAFAnj17xhqbhoYGc6+lpcWMgxBCysvLiY6ODhk6dKjIfiwsLMhPP/1U73i0tbVJUFAQK61jx47Ew8ODEELItm3biLKyMiksLGTyz5w5Q8TExEh2djYhpHrthw4dSo4ePUrk5OTIwYMHWe35+voSW1tb5t7V1ZXo6+uTiooKJm306NFkzJgxhBBCkpOTCQBy+/ZtJv/p06cEAAkJCRE5F19fXwJA4MrPz693HRpDSkoKcXBwYK4OM4NJh5nBAr/Xd6WkpDBtRkdHM+nR0dECfRYVFYnMo1AoFArl30R+fn6D/n/TGPUfjF69emHr1q3MPV/SLzk5GXZ2duBwOExet27dUFhYiJcvX+LDhw8oLy9Ht27dmHxJSUl06tQJycnJTBu1JQRFHUxTk+joaKxatQpPnjxBQUEBKioqUFJSgk+fPjGbOevSGs/Pz8fr169ZfUtISKBDhw51hr/UlcenoKAAr169Ys0bqF6bBw8eAKiet62tLUsesVu3bqiqqkJKSgoTg33z5k2cPn0af/75Z4Ni362srFihFVpaWnj06BGAap1xCQkJlufZxMQEysrKdbb5vemoi9JPd3NzY317ALB1yoVpllM9cwqFQqFQ2NDQlwbA4XBw/Pjxbz0MANWGeU2JP77OdW3c3Ny+ymbFzMxMDB48GDY2Njhy5Aju3LmDLVu2AADKysqYcqK0xiMiIqCnp1dnH6JkGs3MzPDkyZMvn0QDMTY2RqtWrbBr1y6Ul5fXW17YnD99+gQOh4P09PTPGgOXy4WCggLrag748oxt27YFUK2XXlNDvbZ+Ov8aOHAgNDU1kZycjLCwMNazbd26NROj3rp1a1Z/VM+cQqFQKBRBfhiPenZ2NoKCgnDmzBn8888/UFdXR5s2beDp6Yk+ffo0a9+vX7+u19P5rbGwsMCRI0dACGG86rm5uZCXl4eOjg5UVVUhJSWFuLg4xgNaVlaGmJgYxuArKSmBmJgY5OXlMWfOHJiYmODGjRt19nvnzh1UVVUhODiYOUgmKiqqUWPncDjQ0tLCzZs3GZm8iooK3LlzB+3atcPvv/8u1Hs+fvx4jB07FidOnBCIUyeEoKCgAIqKiuDxeOjZsydWrVrFxNzHxcWhRYsW4HA42LZtGyIiIlBUVMR41ePi4iAmJgZzc3OmzRYtWuDo0aPo2bMnnJ2dERUVJWCMNxQDAwNUVFTg3r17aN++PQDg2bNnyMvL+6z2mhq+PGO15KUkeOlXmTy+ljpfP724uBghISG4ePEiUyY7Oxs3b94Ej8eDhoYGJCUl8e7dO+aEUU9PT0yfPh3FxcVITk7G1atXkZmZicmTJ6OyspIqs1AoFAqFgh/EUM/MzES3bt2gpKSEdevWwdraGuXl5bhw4QJmzZrV7F5VTU3NZm2/KfDw8MCGDRswZ84czJ49G1lZWXjy5Am8vLwgJiYGWVlZzJw5E4sWLYKKigp0dXUxePBgfPjwATNnzsRPP/0EQgjs7e0RHx+PrKwsjB49WiB8Aag28KWkpABUh2uUl5dj06ZNGDJkCOLi4kTqZ9fFvHnzsHr1apiamqJVq1ZYv349cyhO7cN0+Dg7O+PYsWMYN24cvL290b9/f6ipqeHRo0cICQnBnDlzMGzYMLRu3Rq3b99GYGAgevfujaNHj+L+/fvYsGEDzp07BxcXF/j6+sLV1RV+fn54+/Yt5syZg4kTJwpID6qrqzOKMuPGjcPBgwchIdH4PyNDQ0P07dsX06dPx9atWyEpKYlffvkFPB6PFb70LcnJycE8z/moqGB/eyAhKYkVAQEwMjLCxo0bERcXJ7KN4uJiocpBjx8/xrx58wTSw8PDsWfPHtbBUpqamvDw8KBa5xQKhUL5z/FDhL54eHiAw+Hg1q1bGDlyJMzMzGBlZYUFCxawPL5ZWVkYOnQo5OTkoKCgAGdnZ+Tk5DD5fAm9Xbt2QU9PD3JycvDw8EBlZSXWrl0LTU1NqKurIygoiNV/7dCXly9fYty4cVBRUYGsrCw6dOiAmzdvAgAePHiAXr16QV5eHgoKCmjfvj0SEhJEzq0x0obHjx/H6dOnhUobBgcHg8PhICwsDFZWVoiPj4e+vj68vb2ZcqtXr8bIkSMxceJEtGnTBpmZmfjtt9+wcuVKdOnSBXZ2djh27Bjy8vJw9uxZhIWFYeXKlQAAFxcXBAUFQVtbm/Ey7927F+7u7uByuViwYAHMzMywa9curFq1CgBw7do1cDgcPHjwAB8/foS0tDS6dOkioPgBANbW1iCEYPjw4bC2tgaHw8Hw4cMBCIa+VFVVYe3atTA1NcWxY8cgLS2N0NBQODg4wMbGBn5+fhg6dCgcHR0BVH/bYGZmhtLSUkYC8OTJk9DW1gZQHT9/4cIF5Obmol27dujXrx8yMzNx5coV1sE7SUlJ6Ny5MzQ1NXH58mU8evQILi4usLW1xdWr//M479ixA8ePH8epU6fQqlUrhIaGCn32e/bsgYqKCuzs7NChQwdcu3YNZWVluHv3rsjPy9eipKQEDx8+REV5dfhSsaE9iix/QrGRAyrKy6GqqlqvkV4ffC95y5YtsWDBApiamgKo9uZzOBwsW7YMW7ZsgZGREXx9fREbG/vlE6NQKBQK5Qfiu/eo5+bm4vz58wgKCmJt9uOjpKQEoNp44xvpV69eRUVFBWbNmoUxY8YgJiaGKZ+WloZz587h/PnzSEtLw6hRo5Ceng4zMzNcvXoV169fx5QpU9C3b1+BjZUAUFhYCAcHB7Rs2RInT56EpqYm7t69i6qqKgDVBm3btm2xdetWiIuL4/79+3WGR/ClDQ0NDZGeng4PDw8sXryYZdzxpQ2jo6MhJiaGCRMmYOHChYiMjATwP2nDPXv2wMLCAsHBwYiKioKlpSXL2ystLY2NGzdi48aNGDp0KFJSUvDLL7+wxjN48GAMHjyYlXb16lUcOXIEqqqq+Ouvv5j08vJyrFixAubm5njz5g0WLFgAHo+HiRMnYuLEicy6X7hwAefPn4empiZ+/fVXDBkyBKmpqUyM+qdPn5jQCf78CgsLmfm5ubmxxuPl5YXt27cjJCQE3bt3x+vXr/HkyRNMnTpV6BpzOBxYWFhg9erVGD9+PE6fPg0dHR3Wy5e1tTXWrVuHTp06wc/PD2PGjMH169fh4eEBVVVVRERE4PHjx2jdujXS0tJgbGyMlJQUJo1/OmxkZCR8fHywa9cutG3bFvfu3cO0adMgKyuLDRs2IDMzE4aGhgCqN5eam5vj3bt32L59O8rLy9G1a1fGYP2WZGVlsV5Yq3hKqJL930msZWVlX2SkA9UvmMrKyqisrISTkxP2798PZWVlSElJwcbGBrt27cK+ffsQGBgIb29vbN26Fd26daNhMBQKhUL579C84jNfzs2bNwkAcvTo0TrLXbx4kYiLi5OsrCwm7fHjxwQAuXXrFiGkWtpORkaGFBQUMGUcHR2JgYEBqaysZNLMzc3JqlWrmHsA5NixY4QQQv744w8iLy9P3r9/L3Qc8vLyJCIiotHz5PO1pA1btWolIG04b948RvaxZcuWTLqrqyvR0NAgpaWldY799u3bBAD5+PEjIYSQK1euEAAsKcP3798THo9HDh061OD58aURCSGkoKCAcLlcsn379jrHUpOa9bt06UKmTJlCCCHk2LFjpOafwPjx40m/fv1YdRctWsSSrLS1tSUBAQHMvZeXF+ncuTNzb2xsTPbv389qY8WKFcTOzo4QQkhGRgYBQO7du0cuXbpEOnbsSEaNGkXi4uJIt27diIGBASkrKxM5l5KSEpKfn89cL168+GryjO0W7mZkGefPn98gecb6Ll9fX+Lg4ECioqKIg4MDOXXqFHFwcCBHjx4lDg4O5O7du4QQQhITE1n3FAqFQqH8yDRUnvG7D30hDZDgA6ol9nR1dVlSdZaWllBSUmLkB4HqTXzy8vLMvYaGBiwtLZmNkPw0UQfP3L9/H23bthUpIbdgwQJMnToVffv2xerVq5GWllbnuKOjo9GnTx+0bNkS8vLymDhxIt6/f49Pnz4xZT5X2rCxLFu2DPfv34ePjw8r/Aao9jjz49L53LlzB0OGDIGenh7k5eXh4OAAoNobW5OaEo8qKiowNzdnPZO65leb5ORklJaWfvYG4jVr1mD37t2s/mu2LUzG8enTp0zMtIuLC/bv3w+g+rN54MABuLi4AKg+OCktLQ3u7u6Qk5NjrsDAQKGfg/LycuTk5ODPP/+Eg4MDcnJyEBwcXOc3MKtWrYKioiJzNac0Y100VXiOtLQ0AODVq1cA/vdZ4XK5AMAcxsX/FoJ/T6FQKBTKf4Hv3lA3NTUFh8Npsg2jwiTzhKXxQ1lqw+Px6mzfz88Pjx8/xqBBg3D58mVYWlqKPGHzS6UNvwRTU1OkpKSw0tTU1GBiYgJ1dXWB8rXDjvineSooKCAyMhK3b99m5llz7A2hMfOrb/3rw97eHo6OjvDy8vqs+uPGjUNKSgru3r2L69ev48WLFxgzZgwAMC8327dvx/3795krMTFRqHqOo6Mjnj9/jjdv3mDHjh3o3LkzXFxcWCe21sbLywv5+fnM9eLFi8+ax5ci7OTRz6GkpAQAmP0C8fHxAMCow/BfiKnGOoVCoVD+i3z3hrqKigocHR2xZcsWFBUVCeTzlUEsLCzw4sULluGSlJSEDx8+wNLSssnGY2Njg/v379fp2TMzM8P8+fNx8eJFjBgxAuHh4ULL1ZQ27NKlC8zMzBjPYk3y8/NF6rgrKioy0oZ8+NKGfITpwPMNzhMnTtQxW9E8efIE79+/x+rVq9GjRw+0atVKpBe8ppGal5eH1NRUWFhYfFa/pqam4PF4uHTpUqPrGhgYYMOGDVi9ejVOnTrFGIV8LCwssGfPHrRp04ZJi4uLg5mZGRMXraOjAwcHB0RGRiIyMhKVlZW4fv06gOpvYrS1tZGens7SujcxMWE8wsJQU1ODq6sr9u3bhw0bNmDbtm0iy35NHfVly5Yx92LFHyBW9I7RT58yZUqT9HPv3j3IycnhxYsXkJOTw/bt26GhoYFbt25BU1MTVVVV+OuvvxAaGgpNTU2qsY7q2P579+7h0qVLuHfvHkshh0KhUCj/Lr7pZlI3Nzfs3r1bIN3R0RHnz59n7rds2YJu3bqhU6dOCAgIgI2NDSoqKvDXX39h69atSE5ORt++fWFtbQ0XFxds2LABFRUV8PDwgIODw2eFgYhi3LhxWLlyJYYNG4ZVq1ZBS0sL9+7dg7a2Ntq0aYNFixZh1KhRMDQ0xMuXL3H79m2MHDlSaFtNJW2opaWFZcuWCZU2BNg68PzNjHfv3sWoUaMwduxYeHl5wdHRERoaGnj+/DkOHTpU74Y9PT09SElJYdOmTZgxYwYSExOxYsUKoWUDAgKgqqoKDQ0NLFu2DC1atGjQyZ7C4HK56NOnD2bMmIHZs2dDSkoKLVu2hK2tLXbt2sWchCqM27dvQ1ZWFjIyMnBxccHatWtZ+b/88gs6dOiAJUuWIDU1FfHx8di8ebOAagtfzrGsrAybNm3CgAEDmDx/f3/MnTsXioqKcHJyQmlpKRISEpCXl8c6UZSPj48P2rdvDysrK5SWluL06dOf/RLTlEhLS8PGxgYSklKoKC9jtNMBQEJCEhwOB926dfviDaX5+dWG/8mTJ5m0oqIi5OTkQFFRkbXZWUlJCXFxcf9pmcbY2FiEhoYiOzubSaPylRQKhfLv5Zt71PlSgzWvAwcOsMoYGRnh7t276NWrF3755Re0bt0a/fr1w6VLl7B161YA1V7jEydOQFlZGfb29ujbty+MjIxw6NChJh2vlJQULl68CHV1dQwcOBDW1tZYvXo1xMXFIS4ujvfv32PSpEkwMzODs7MzBgwYAH9/f6Ft2draYv369VizZg1at26NyMhIRtqwMVhZWUFXVxeurq6ws7ODvLw8I20IVP8j58f88uFwODh06BA2bNiAs2fPok+fPjA3N8eUKVOgq6uLa9eu1dmnmpoaduzYgcOHD8PS0hKrV6/Gb7/9JrTs6tWrMW/ePLRv3x7Z2dk4evSoQLx7Q5k4cSIuXbqEXr16QVlZGcXFxXj37h1u3brFOnCnJnyPo5qaGmPIBwQECJRr164dDh8+jJMnT6J169bw8fFBQECAgOrMqFGjmH0Ebm5urLWdOnUqduzYgfDwcFhbW8PBwQEREREiPepSUlLw8vKCjY0N7O3tIS4ujoMHD37O0jQ5Ghoa+H1DCMRr6cRXVJTDc/4CzJ07VyCmvymoqKgA8D8jXkNDA9OmTYOlpeV/WqYxNjYWvr6+MDIywpYtW3D27FkqX0mhUCj/dr7CxlaR1FTjEEZVVRXx9fUlurq6REpKimhpaZE5c+Yw+Vu2bCEmJiaEy+USdXV1MnLkSCbv3LlzpFu3bkRRUZGoqKiQQYMGsZRFevXqRWbNmsXq782bN0RSUpJER0fX235t3r17R8aOHUu0tbUJj8cjrVu3FlD/cHBwIHPmzCGLFi0iysrKRENDg/j6+rLKpKamkh49ehAul0ssLCzIxYsXWaozwqhvHWvWB8C6HBwcmHLbt28nrVq1Ilwul5ibm5MtW7YweXy1koMHDxJ7e3vC5XJJeHh4nfPmq75069aNzJo1i8ybN4+oqqqSnj17ksmTJ5NBgwaxxllWVkbU1NTIjh07hM7j0KFD/8feeYdVcbwN9Fx6L2IBCwIqKigqKgaNYO/GFizBgorG3hsRxF5jiV1RQYXEErvYjVhRLCAKiA1FY40KBpW+3x98d39cmmDUFOc8zz65uzs7OztgeHfuO2ckQNq9e3euc5mZmVJCQoJKf8ycOVOysLCQrKysJEmSpPLly0uLFy+WP2fvh/Lly0uSlGUGqlGjhkrd69evl+zs7CQtLS3J3Nxc5fcme9+mpKRIQ4cOlczNzSVtbW3J0tJSmj17tkrZ1atXS23btpV0dXWlKlWqSOfOnZNu3bolubq6Snp6epKzs7PK7+n7KOys8aLy7t07KTY2VoqMjJQNLU4ePlKdwQslp75TJFdXVyk2NlaSJElKSEj4S+aXb775RtqyZYt05MgR6fz581KjRo0kV1dX6eDBg9KVK1ek9PR0SZIkKSMjQ/Ly8pK6d+8uH/tSSE9Pl7p16yZ5eXmpGKok6cvuF4FAIPi38p+wvuzYsYPFixezZs0abt26xe7du6levToAly5dYsSIEUyfPp3Y2FgOHTqk8tXvmzdvGDNmDJcuXeL48eOoqanRqVMneZKop6cnP//8szxpDSAwMJAyZcrQpEmT99afk+TkZGrXrk1wcDDXr19n4MCB9OrVi7CwMJVyGzduRF9fnwsXLjB//nymT58uu8kzMzPp3LkzWlpaXLhwgdWrVzNx4sSP1p+A3J5jx47x+PFjdu7cCSD7v2fNmkVMTAyzZ8/Gx8cnV2rSpEmTGDlyJDExMbRs2bJIz62lpSWn93h6enLo0CGVhZv279/P27dv5cmZOQkKCqJy5cp06NAh1zmFQqGygunx48eJjY3l6NGj7N+/P1f5ixcvAlkrYT5+/Fjez8mqVasYOnQoAwcO5Nq1a+zdu5eKFSvmWXbp0qXs3buXbdu2ERsbS1BQEFZWViplZsyYQe/evYmIiKBKlSp89913fP/993h5eXHp0iUkSWLYsGF51g9Zkyxfv36tsn0K4uPjGThwIOHh4fIxpUs9Uyern+/fv8/Nmzdl331OlAtj5UfZsmWBrJFzW1tbmjdvjpaWljyR+M8//6RWrVpyGpaamhru7u48fvyYyMjIv/yM/yYiIyN58uQJ7u7uKoYq+LL7RSAQCP7r/O0LHu3fvx8DAwOVYz/88AM//PAD8fHxmJub06xZMzQ1NbG0tMTJyQnICiT09fVp164dhoaGlC9fnlq1asl15MwL37BhAyVKlCA6Oppq1arRuXNnhg0bxp49e+jatSuQtQqoh4cHCoXivfXnpEyZMiq2juHDh3P48GG2bdsmtxmyJqP6+voCWRMjly9fzvHjx2nevDnHjh3jxo0bHD58WLZgzJ49WyUH+q9SokQJAMzMzDA3N5eP+/r6snDhQjp37gxk6fCio6NZs2YNffr0kcuNGjVKLqMkv+fOvnBSpUqVcuWEV65cmc2bNzNhwgQgK2h2c3PL9fug5NatW+8N/pTo6+uzbt26fFNslP1gYmKi0g85mTlzJmPHjlVZ7r5u3bp5lo2Pj6dSpUp8/fXXKBQKypcvn6tM37595d+3iRMn4uzsjI+Pj7yK6siRI+nbt2++7ZkzZ06+qVSfgg0bNuR7LucKvjlRLkaWH9k1qcrJ2dknaec1sfpL1TTm1FTm5EvtF4FAIPiv87ePqDdu3FhFZRcREcGgQYMAcHNz4927d9jY2DBgwAB27dol5682b96c8uXLY2NjQ69evQgKClJxj9+6dYsePXpgY2ODkZGRPLKpdHzr6OjQq1cvORC5cuUK169fl/OR31d/TjIyMpgxYwbVq1enWLFiGBgYcPjw4VxO8ZzWiuzOcKULXhmkg6qD/FNRFP93zom5BT13o0aNkCQJDQ0Nateuneu+np6eshHn6dOnHDx4sECbiFQEJWVe3vei8uzZMx49elRoZ7uHhwcRERFUrlyZESNG5Jkzn/3nX6pUKbmt2Y8lJyfnO1L+ufWMBf08Jk+ezNq1a+UXj5xkn9CcF3/++af8WaldzK5fzP7vQMmXqmnMqanMyZfaLwKBQPBf528P1PX19XOp7JR/bMqVK0dsbCwrV65EV1dXNhukpaVhaGjIlStX+OWXX7CwsGDKlCnUqFFDDg7at2/Py5cv8fPz48KFC7K+MLvj29PTk6NHj/Lw4UP8/f1p0qSJPAr6vvpzsmDBAn766ScmTpzIiRMniIiIoGXLlrmc4kVxtn8uiuL/zulTL+xz57wOoHfv3ty9e5fQ0FACAwOxtramYcOG+bbT1ta20D79vO5XVIrqbHd0dCQuLo4ZM2bw7t07unbtyrfffqtSJvvPX6FQ5Hssv9+Jz6VnVGJhYSF/zqloLF++PLa2tnh6eqKmpia3XcmtW7dyHcvOw4cPAVS0i9kXH2vfvr1K+czMTIKCgrCwsPjiNI0ODg6Ym5sTFBSU63fjS+4XgUAg+K/zt6e+vA9dXV3at29P+/btGTp0KFWqVOHatWs4OjqioaFBs2bNaNasGb6+vpiYmPDbb7/h6upKbGwsfn5+cuCXl8WkevXq1KlTBz8/P37++WeWL1+ucj6/+nOmfkCWb7tDhw707NkTyPrjefPmzSI53JUu+MePH8sBUl4L5fwVlKPM2d3L2f3fylU2C8tfeW4zMzM6duyIv78/oaGh+aZ8KJWSc+fOZe/evezZsydXnrokSbx+/VolT/19aGpqFuigNjQ0xMrKSrbMFAYjIyO6devGwYMHsbOzY8eOHbx8+fJfN9JpaWnJ2rVr0dHRyVPRqKmlLfe1lpYWXbt2zWWrKewLaLFixVixYgUPHz7k6tWr8nWjR4+mfPnymJiYUKJECS5dusT58+eZNm2anLeekZFBZGSk3McODg4qatGc5+3t7YmKisq3/D8VdXV1hgwZgq+vL97e3ri7u2NtbU1cXBxBQUGEhoaq9ItAIBAI/hv87YF6SkqKihMYsgLk4sWLExAQQEZGBvXq1UNPT4/AwEB0dXUpX748+/fv5+7du7i4uGBqasqBAwfIzMykcuXKmJqaYmZmxtq1a7GwsCA+Pp5JkybleX9PT0+GDRuGvr6+itKwoPrzolKlSvz666+cO3cOU1NTFi1axNOnT4sUqDdr1gxbW1v69OnDggULeP36tcqiMwWRmJhIRESEyjEzM7NcS8yXLFkSXV1dDh06RNmyZdHR0cHY2LjI/u+P9dyenp60atWKzMxMeW5CsWLFqFu3LvPnz8fBwYFy5crx+PFjzMzMCA8Pp0ePHnh7e9OiRQtKlCjBtWvXWLx4McOHDy+Sn10ZhDdo0ABtbW3ZNZ+dqVOnMmjQIEqWLEnr1q35888/OXv2LMOHD89VdtGiRVhYWFCrVi1ev37N77//jrm5+Xtztf+J6OjoYGtrC0BQ4GZZlfjixQuSkpIwMDCQ028A+d/Otm3bivwNUXR0NNHR0bmOx8TEEBMTI++rqanRrVs3eVL3+5zieZ1XV1dXeTn7NznIXVxcmDZtGitXrmTo0KHycQsLC6ZNm/aveAaBQCAQFI2/PVA/dOiQytfrkDXJ8MaNG5iYmDB37lzGjBlDRkYG1atXZ9++fZiZmWFiYsLOnTuZOnUqycnJVKpUiV9++QV7e3sAtmzZwogRI6hWrRqVK1dm6dKlNGrUKNf9e/TowahRo+jRowc6Ojry8ffVnxNvb2/u3r1Ly5Yt0dPTY+DAgXTs2FEOZAqDmpoau3bton///jg5OWFlZcXSpUtp1arVe68NCQnJNdm1f//+rFu3TuWYhoYGS5cuZfr06UyZMoWGDRsSEhKCp6cnenp6LFiwgPHjx6Ovr0/16tUZNWpUgff9q8/drFkzdHV10dPTk40VT548wdvbm3bt2hEfH4+6uro84fPnn39m7dq1bNiwgVmzZqGhoUGlSpXo3bu3PCGzsCxcuJAxY8bg5+dHmTJluHnzZq4yffr0ITk5mcWLFzNu3DiKFy+eK51FiaGhIfPnz+fWrVukpqZibGzMkSNHclk6/g0kJycTHx+PpaUlpUqVolSpUjx9+pShw4aTlpqSq7ymljaBmzfRr18/du3aRXh4OFFRUXIeupqaGmXLliUzM5OHDx+io6NDcnIyAAYGBnL6lbGxsfy7oyzj4uLCgwcPiIuLY8uWLfJLoK+vrzwZN/vosq+vL926dWPr1q3y+UePHjF79myMjIx49eoVkydPpnTp0nL5f0ug6+LiQoMGDQr8FkEgEAgE/x0UUlFm6P0HuXfvHhUqVODixYs4Ojr+3c354khKSqJYsWLUrFlTRel45swZGjZsyLNnz3jz5g3W1taEh4dTs2ZNAE6ePMn48eO5evUqxYoVo0+fPsycORON/1+c588//2TQoEHs3r0bIyMjJkyYwJ49e6hZsyZLliwBskbU+/fvL6s/O3fuTEBAABMnTmTXrl08fPgQc3Nz3N3dmTJlipxLPnXqVHbv3s3gwYOZOXMmL168oF27dvj5+cnpIB4eHiQkJPD111+zcOFCUlNT6d69O0uWLEFTU5Pp06ezbds2rl+/rtIfNWvWpH379vmu8poTZbpPYmLiR81Xv3nzJgMHDmTt2rXyyLry2DsbV5AkdONO8c7aBRQKdO+eVCkLWWkn7u7u2NjYMHPmTG7evMmgQYOoXr06z5494/nz56irq2NmZoa1tTWSJKn8DhQvXpwKFSpw7949Nm3axJQpU7hy5QomJiYoFAq53uwvQpmZmUyePJmwsDCcnJyYNWsWkiTJ7VC+oMbFxREYGIhCocDb21veFwGvQCAQCD4Hhf37/e8b6vtIpKWlySO3X331lQjSPzOZmZk8e/aMGTNmoKWlpfKtSlJSEoGBgVSsWBEzM7Nc1/7++++0adOGunXrcvXqVVatWsX69euZOXOmXGbMmDGcPXuWvXv3cvToUU6fPs2VK1dy1fXjjz9So0YNwsPD8fHxAbJGxgMCAoiOjuann37Cz8+PxYsXq1x3+/Zttm3bxr59+zh06BDh4eEMGTJEpcyJEye4c+cOJ06cYOPGjQQEBBAQEABk2VRiYmJU/O3h4eFERkYWqGf8XB51JUpX+s2bN7l//z4AmTrGZOqaZH3WNcnlVVduBw4c4MmTJ7i4uHD79m15nki1atV4+vQpmZmZ8r/Dnj17Uq9ePTIzM+Xt2bNnODk58fjxY65fv07Pnj1JSUnh6dOnBTrFnZycyMjIwMnJCTU1NRUHuYaGhopzXDjIBQKBQPBP5m9Pffm7OHv2LI0bN8bW1pZff/31727OF0d8fDzW1taULVuWBg0aEBwcLPvT37x5g4WFBfv3788zbWTlypWUK1eO5cuXo1AoqFKlCo8ePWLixIlMmTKFN2/esHHjRn7++WdZrejv75+n7q9JkyaMHTtW5Zi3t7f82crKinHjxrFlyxbZ9w5ZqSGbNm2iTJkyACxbtoy2bduycOFCOU3H1NSU5cuXo66uTpUqVWjbti3Hjx9nwIABlC1blpYtW+Lv7y972f39/XF1dcXGxibffvvcHvX3udILU3bu3Lkq+3lpM62treUXgexoa2sDWX7wnKrS/JziymuUqWw5HeQ5nePCQS4QCASCfypfbKCudHwL/h6srKzk/vfw8KBx48asWrUKgFevXrFy5Upat26da4VTyJpk6OzsrKL+a9CgAUlJSTx8+JBXr16RlpamstCUsbFxnhOBc3rhAbZu3crSpUu5c+cOSUlJpKen5/paytLSUg7SIct3n5mZSWxsrByo29vbq6RSWFhYcO3aNXl/wIAB9OvXj0WLFqGmpsbPP/+ca+Q+J15eXiqTe1+/fp1rwvDHZPLkybKy9P79+wUG7tnLAsTGxrJw4UImTZqEjY0Np06dIjAwMJe6E7I84NlXCVaiPFasWLFcDvG4uLg854wor1HmwGd3kNvb2+dyjgsHuUAgEAj+qXyxqS+CfxbZffp169Zl3bp1vHnzBj8/P7nM3r17P7pBJadvPTQ0FHd3d9q0acP+/fsJDw9n8uTJeQaX7+N9zvz27dujra3Nrl272LdvH2lpaflOVFXyuTzqSj1jw4YNsbW1xdbWVg7C1ZITUXuXkPX5XUIur7pya9OmDebm5pw6dYqKFSvSo0cPzMzMuHPnDqVKlUJNTQ1NTU3Mzc0JDAzkwoULqKmpyVvJkiUJCwvDwsKCatWqERgYiLa2NqVKlSrQKR4WFoa6ujphYWFkZmaqOMjT09NVnOPCQS4QCASCfzJfXKD+5MkThg8fjo2NDdra2pQrV4727dtz/Pjxj3qfRo0avdeYIsiNQqFg9+7dKBQK1NTUePfunXyuRYsW3Lx5k6pVqxIaGoqvr688ufTs2bMYGhpStmxZbGxs0NTUVMn/TkxMzNPqkpNz585Rvnx5Jk+eTJ06dahUqZKcknHv3j0UCgVPnjwhPj5eZYn78+fPo6amlq++My80NDTo06cP/v7++Pv707179yIvsvSpUOoZs5uQjI2N0dTSRvfuSdmprht3Ct27J1W86koyMjJwcHDg3LlzNG3alI4dO5KcnExYWJhKjvoff/xBaGgo58+fR0dHR85Rf/36NaGhobRo0YIxY8YQGhpKSkoKDRs2pHXr1pw7dw5vb2+ioqJ4+/YtUVFReHt7c/78edzc3Dh//jw//PADK1eupGzZspw7d462bdty7tw57O3tuX79Ot7e3oSGhjJ48OAiTSTNyMggPDyc48ePEx4eTkZGRp7HBAKBQCD4K3xRqS/37t2jQYMGmJiYsGDBAqpXr05aWhqHDx9m6NChhV718kshNTU1z3ziT3Fddp/+gwcPGD58OElJSSqrU+ro6FCyZEmGDBnCkiVLOHjwICkpKezZswdfX1/GjBmDmpoahoaG9OnTh/Hjx1OsWDFKliyJr69vnqtn5mxvpUqViI+PZ8uWLdStW5fg4GB27dqV6xodHR369OnDjz/+yOvXrxkxYgRdu3aV014K20eenp5UrVoVyHrZ+Kfx9OlTFdXm9GlTZZWigYGBPNnX2NiYUqVKyeVWr17N1q1b5fQmSZJIS0sjLS0t1z3S09Plz2/fvpU/K1NXNm7cCGRNFM3MzJTnlJiYmBAdHZ2vU/zBgwe5+lSZFnPs2DGOHTuGnp5ekdWMefnZld/0ZF+5+N/kaBcIBALBP5MvakR9yJAhKBQKwsLC6NKlC7a2ttjb2zNmzBiVFUDj4+Pp0KEDBgYGGBkZ0bVrV54+fSqfnzp1KjVr1mTz5s1YWVlhbGxM9+7dZWe0h4cHJ0+e5KeffkKhUKBQKLh37x4A169fp3Xr1hgYGFCqVCl69erFH3/8IdfdqFEjhg8fzqhRozA1NaVUqVL4+fnx5s0b+vbti6GhIRUrVuTgwYPyNSEhISgUCoKDg3FwcEBHR4evvvoql/pvx44d2Nvbo62tjZWVFQsXLlQ5b2VlxYwZM+jduzdGRkYMHDgQgIkTJ2Jra4uenh42Njb4+PioBFzK/li3bh3W1tbo6OiwadMmzMzMcuUdd+zYkV69euX62WT36U+YMIGLFy+yfft2Ffe9MvWlTJkyDB8+nIsXL3Ljxg06duzIH3/8IedqJyQkkJqayqNHj2jSpAmOjo5YWVlRtWpVdHR05Pb++eefzJgxQx41PnToEPPnz0ddXZ3vvvuOypUrc+TIEdkGo5x0uGbNGt68ecP9+/dp06YNrq6uZGZmsnLlSrmtv/32m4plxsrKigsXLnDjxg2Vvn369Cn6+vpkZmby7bffMmLECN68eZOrfz43ycnJhIaG8p17TwYOHChvXl5ezJo1i1mzZjHFdyrGxsbY2trmCtK3bNlS5DkgOV+ievfuTa9evXB1dUWhUFCvXj1WrFjBgQMHWLFiBXZ2diQmJtK3b198fHxYvHgxgYGBuLi4sHr1as6ePYupqan8LYe2tjZ6enpA1s/S0NCQt2/f5rnYUn6cOnUKX19fbGxs5LYMGDCAhIQEEhISGDBggNw+GxsbfH19OXXq1PsrFggEAoEgD76YQP3ly5ccOnSIoUOH5spLhv+NiGVmZtKhQwdevnzJyZMnOXr0KHfv3qVbt24q5e/cucPu3bvZv38/+/fv5+TJk7Ld4qeffsLZ2ZkBAwbw+PFjHj9+TLly5UhISKBJkybUqlWLS5cucejQIZ4+fUrXrl1V6t64cSPFixcnLCyM4cOHM3jwYNzc3Khfvz5XrlyhRYsW9OrVS2X0EWD8+PEsXLiQixcvUqJECdq3by8H1JcvX6Zr1650796da9euMXXqVHx8fGRdoJK/oivcsWMHO3fuJCIiAjc3NzIyMti7d69c5tmzZwQHB9OvXz+VawMCApAkSQ7sfvnlF/llCv438dTS0lK+xtfXl7Fjx2Jvby/38XfffQeAm5sbr1694syZM9y8eZPhw4fj7+9PTEwMFStWlNvr5OTEsWPH5BVd37x5w5gxY7h+/TpXrlyhTZs2xMfHM2LECBISEuSJrb169cLOzo7z58/z+++/4+LiQtu2bVVWNnV0dKRJkyYqzxkdHc348ePlvr1z5w6tWrVCU1OTiRMnsnXrVs6cOcOwYcP4u4mPj8fLy4uM9Kzfn3fWLryx+0be3tm4kpaakmthq9TUVLZu3ZqrvoIWfVKmnEiSJKfPaGpqcvToUXr16kVsbCzOzs7MmjULe3t79PT0sLe3Z+bMmTg7O3Po0CEaNWpErVq1UFdXJzU1le3bt2NqakpQUBC3b9/G1NSU4OBg9u7di6mpKfHx8WzduhVTU1O2b99eqDkIGRkZrFy5EmdnZ2bOnCm/9O7btw9nZ2ecnZ3Zv38/2traKu1btWqVSIMRCAQCwQfxxQTqt2/fRpIkqlSpUmC548ePc+3aNX7++Wdq165NvXr12LRpEydPnlTJec7MzCQgIIBq1arRsGFDevXqJee5Gxsbo6WlhZ6eHubm5pibm6Ours7y5cupVasWs2fPpkqVKtSqVYsNGzZw4sQJlfzpGjVq4O3tTaVKlfDy8kJHR4fixYszYMAAKlWqxJQpU3jx4kUu77Ovry/NmzenevXqbNy4kadPn8ppG4sWLaJp06b4+Phga2uLh4cHw4YNY8GCBSp1KHWFFSpUoEKFCkCWrrB+/fpYWVnRvn17xo0bx7Zt21SuS01NZdOmTdSqVQsHBwd0dXX57rvv8Pf3l8sEBgZiaWmZ5wqxRUVXVxcDAwM0NDTkPtbV1eXMmTOEhYUxefJkbt26hZqaGt999x0pKSmkp6fToUOHPNsL0KVLFzp37kzFihWpWbMmGzZs4Nq1a/KIa4kSJQDQ09NDU1OzyJaQnH3r6+tLjRo1SE5OZsKECdSvX5+lS5eyadMmOe0jJ5/bo64kU9eETP3i/9vycaevW7cuz5F05aTPvAw12YNYKysrIGudg8ePH7Nnz54Cnel5OdD37NlDRkYG/fv3Jzg4WP6soaGBhoYG/fr1IyMjQ35pzMjIYM+ePe/tg+w+dmVblMd69uxJz549VdoiHO0CgUAg+Kt8MTnqhf0aPiYmhnLlyqkEFHZ2dpiYmBATEyM7r62srDA0NJTLWFhY8OzZswLrvnr1KidOnJB94dm5c+eOvKpjdvuEcuXG6tWry8eUaQY575fdM12sWDEqV65MTEyM/FzKIFVJgwYNWLJkCRkZGfKo5ofqCsuXLy8HskoGDBhA3bp1+f333ylTpgwBAQF4eHjkmSf+sbh69SpJSUk0btyYlJQUFStI3759KV68eL7tvXXrFlOmTOHChQv88ccf8rXx8fFUq1btL7ctZ98GBQUByJOaIev3NDMzk7i4ODl3PTuf26P+PoriWYesfzcPHjzI93zOf6fKCbv5OdPzcqArr3F2diYwMFD+rET5+dGjR7i7u6tcUxA5vevvO5Zf+wQCgUAgKCxfTKBeqVIlFArFR5sw+j71Xl4oJ0fOmzcv17nsK3PmVXf2Y8pA9333+xDy0xVOmzaNli1bYmxszJYtW3Llt+eVTlSrVi1q1KjBpk2baNGiBVFRUQQHB3/0NmcnKSkJCwsLQkJCcp3LrnbMq73t27enfPny+Pn5Ubp0aTIzM6lWrVqutIhBgwaxevVqeV9NTS1XgJnXpMmc96xSpQrNmzdnxIgRucpmT/PJzuf2qL+PnO70Y8eO5fq2JTvKuRr5kfMlTrlIVX7O9Lwc6MprQkNDVT63a9dO/qwsl/3z+8jpY895LGe5/NonEAgEAkFh+WJSX4oVK0bLli1ZsWJFnpP1lLaGqlWr8uDBA5VRv+joaBISErCzsyv0/bS0tHLlpTo6OhIVFYWVlZXsDFdueQWORSX7hNhXr17JKkPIeq6cBoyzZ89ia2tboJauIF1hYfD09CQgIAB/f3+aNWv2UYPK/Pr4yZMnaGho5Opj5Wh6Xrx48YLY2Fi8vb1p2rQpVatW5dWrV7nuB+S6Z4kSJXj8+LG8n5GRkWsib144OjoSHR2dq50VK1bM15rzOT3qkydPlvfV3iWg9uaP/235uNM9PT1zBdvq6ury71heo+nZf/+UgbympiYWFhZ06NChQGd6Xg70Dh06oK6uzvr162nbtq38OT09nfT0dDZs2IC6ujpt27aVP+f8tikvsvvYlW1RHgsMDCQwMFClLcLRLhAIBIK/yhcTqAOsWLGCjIwMnJyc2LFjB7du3SImJoalS5fKX4c3a9aM6tWr4+7uzpUrVwgLC6N37964urrmmRaSH0rLx7179+Q0iqFDh/Ly5Ut69OjBxYsXuXPnDocPH6Zv374fZbLZ9OnTOX78ONevX8fDw4PixYvTsWNHAMaOHcvx48eZMWMGN2/eZOPGjSxfvpxx48YVWGd2XeGdO3dYunRpnrrC/Pjuu+94+PAhfn5+uSaR5kdcXBwREREqW14vV1ZWVsTFxfHNN9+gUCgYMGAAzZo1w9nZmY4dO3LkyBF69eqFQqHAwcGBS5cu5XtPU1NTzMzMWLt2Lbdv3+a3335TGbkGZNOOchKwciJlkyZNCA4OJjg4mBs3bjB48GAVTV9+TJw4kXPnzjFs2DAiIiK4desWe/bs+UdMJtXR0cHBwQENzawXBt24U+hH75U33bsn0dDQzPXNgZaWVq6J10rHeH4oz6mrq8t9mp6ezuDBg9HS0mLIkCGEhobm6UzPy4GupaUlTyh2d3enVq1avHr1im+++YZvvvmGV69eUatWLdzd3Xn16hVubm6F0omqq6vnaktKSgrt27cnNDSU0NBQ2rZtS0pKSoHtEwgEAoGgsHxRgbqNjQ1XrlyhcePGjB07lmrVqtG8eXOOHz8uL1+vUCjYs2cPpqamuLi40KxZM2xsbPI0WRTEuHHjUFdXx87OjhIlShAfH0/p0qU5e/YsGRkZtGjRgurVqzNq1ChMTEwKtGIUlrlz5zJy5Ehq167NkydP2LdvnxyAODo6sm3bNrZs2UK1atWYMmUK06dPx8PDo8A6v/nmG0aPHs2wYcOoWbMm586dk20whcHY2JguXbpgYGAgvzS8jzFjxlCrVi2VLTw8PFe5Ll260KpVKw4dOgRk5XwnJydz4MABXFxc8PDwIDAwEHV1dd68eaOiEMyJmpoaW7Zs4fLly1SrVo3Ro0fnmmirrq6Orq4ua9asoXTp0vIobL9+/ejTp4/8QmdjY0Pjxo3zvVdGRoa8YubJkye5efMmDRs2pFatWkyZMqVQaRifg1KlShEUuJm1a9eydu1a5syZg0a2FKz09DRGjR6joi6FrNSg7t27F3kugjJgNzU1VXGbu7i4MG3aNO7evcvQoUNp06YNQ4cOJS4uLl8HurINr1+/ll/Q3r59K5uSLl26xOvXr+nevTuDBg0qdBvzaoufnx8mJiaYmJiwbt26QrVPIBAIBILCoJCKKjsW/OMICQmhcePGvHr1SiUP+59C06ZNsbe3Z+nSpZ+kfg8PDxISErhz5w6TJk2SJwj+/PPPzJs3D2tra0xMTGjSpAmjR4/m0aNHaGtry9d37NgRQ0NDNm/ezNWrVxk1ahSXLl1CoVBQqVIl1qxZI09QzY6vry9Tp04lJSWFyZMn88svv5CQkEC1atWYN2+ebLcJCAhg1KhRbNq0iUmTJnHz5k1+++03mjZtyoMHD1QWSRo1ahSXL1/m9OnThXr2169fY2xsTGJi4kdNg0lOTiY+Ph5LS0vZM3/z5k0GDhxIchlHdH6/Iv937dq18kTo7NepqamxY8cOTp48yb1795AkCQMDA+zs7OTFgjQ1NTEyMiItLQ1bW1vq1KlDzZo18xyBzsjIIDIykpcvX1KsWDEcHBzeO1KdmprKnj17ePToEaVKlUKSJJ49eya/aH3Igl75tQUocvsEAoFA8GVS2L/fX8xkUsHn59WrV4SEhBASEqKyGNCnol+/fvj7+8uB+oYNG+jbt688sdTNzY0RI0awd+9e3NzcgP+53Y8cOQIgp0qsWrUKdXV1IiIi0NTUpH79+ixZsoQpU6YQGxsLINt7hg0bRnR0NFu2bKF06dLs2rWLVq1ace3aNSpVqgRkjebOmzePdevWYWZmRrly5bCxsWHz5s2MHz8eyJqAGhQUxPz58/N9xpSUFJVFpD6VnjE+Pp6BAweqTBZVzk2QtAxU/pt9zsL9+/eZNWuWHLz36NGDHj16fJQ2qaurU6tWrSJdo0yD+djk15aitk8gEAgEgoIQgbrgk6HMDZ43b568OuSnpGfPnnh5ecmB49mzZ9myZYscqGd3uyuDt5xu9/j4eMaPHy/79pWBNmSl8SgUCpUR8Pj4ePz9/eXUJshKezp06BD+/v7Mnj0byArCV65cSY0aNeRr+/fvj7+/vxyo79u3j+Tk5FwLYGXnc+sZC6NfLKqiUSAQCAQCQeEQgfp/gEaNGhV5ufbPwftUfB+bEiVK0LZtW3ml07Zt2+YyvbzP7T5mzBg8PT3ZvHkzzZo1w83NTV74KS+uXbtGRkaGnPqhJCUlBTMzM3lfS0srl/nDw8MDb29vzp8/z1dffUVAQABdu3Yt0AD0ufWMOUfU8wrKC1NGIBAIBAJB0RGBuuA/Rb9+/WRryooVK3Kdf5/bferUqXz33XcEBwdz8OBBfH192bJlC506dcrzfklJSairq3P58uVc+cjZF7bS1dXNNbmyZMmStG/fHn9/f6ytrTl48GCe/vfsaGtrq+TXf2qU+sXsKFKTVP6bVxmBQCAQCAR/HRGoC/5TtGrVitTUVBQKBS1btsyzjKenJ0uWLOH333/P0+2udIKPHj2aHj164O/vT6dOnfL0tteqVYuMjAyePXtGw4YNi9xeT09PevToQdmyZalQoQINGjQoch2fAktLS9auXauy8JKxsTGaWtrw+xUAdH6/gqaWNsbGxirXrVy5kosXL7Jp0yZ0dXVp0aIFjo6OYmKlQCAQCARFRATqgv8MHh4ebNy4Ud7X0Mj69W7atKmKDee7775j3Lhx+Pn5sWnTJvn4u3fvGD9+PN9++y3W1tY8fPiQixcv0qVLFzw8PLh79y5JSUkcP36cGjVqoKenh62tLe7u7vTu3ZuFCxdSq1Ytnj9/zvHjx3FwcKBt27YFtrlly5YYGRkxc+ZMpk+f/nE75C+go6Mjj5Jnd8ZPnzYVQE7rMTY2VtFeBgQEsG3bNpXFiY4ePYqenh6TJk0SqkKBQCAQCIrAF+VRF/z3adWqFY8fP1bZcuZ85+d2V1dX58WLF/Tu3RtbW1u6du1K69at5cmbxYoVY9CgQXTr1o0SJUrIdhZ/f3969+7N2LFjqVy5Mh07duTixYsqo9H5oaamhoeHBxkZGfTu3fvjdcRfJDk5mZs3bxIfH0/PXr0ZOHAgAwcOxMvLiym+UzE2NsbW1lYlSF++fDlbtmwhMzOTChUqMGfOHEaMGIGhoSFv375lypQpnDp16m98KoFAIBAI/l2IQF3wrycgIIDdu3cDWTnc5ubmKpurqyuXL19GX1+fcuXKMWTIEO7fv4+7uzva2toEBARgYmLCiRMniIiI4OXLlzRu3JhLly6xbNky5s6dy8aNG9mzZw+rV6/mxYsXnDhxgqlTpzJx4kTs7e1ZsGABCoWCiRMncv/+fXbu3En16tW5evUqGzduJCMjAyMjI2rXrs2lS5d48+YNRkZG/Prrr/z++++0adMGCwsLdu/ejb6+Pn/++eff2qdKPWNsbCxpqSkkl3EEILmMI2mpKfIIu5LU1FR27twJQPXq1fHz88PZ2ZnOnTuza9cuTE1NAVi5cuVHWYVXIBAIBIIvAZH6IvjPo6amxtKlS7G2tubq1asMHTqU33//nbVr18pl3r59y48//sjmzZtRU1OjZ8+ejBs3jqCgIMaNG0dMTAyvX7/G398fyBpdBzA0NCQgIIDSpUtz7do1BgwYgKGhIRMmTADy97Lr6+vTuXNnFi5cSEREBHv37gWyRue//fZbDA0N83yWz+VRV/L48WOgYHc6wLFjx+R0l7Zt26qstKuhoUG/fv1YuHAhT548ITIyUvjGBQKBQCAoBCJQF/yn2L9/v4ptpXXr1mzfvl3eb9SoES9fvkRPT0/F7Z6Wlsbq1atlFeOwYcPknHEDAwN0dXVJSUlRcagDeHt7y5+trKwYN24cW7ZskQP1grzskZGRhIeHM2DAAJo3b86zZ884cOAAx44dy/f5PrdHfcOGDXkeL0jBqPTJZ8fZ2Vn+/PLly7/eMIFAIBAIvgBEoC74T9G4cWNWrVol7+vr63Ps2DHmzJnDjRs3eP36NZIk8e7dO96+fYuenh4Aenp6Kr50CwsLnj179t77bd26laVLl3Lnzh2SkpJIT09XWQq4IC/7lStXqFGjBjY2NkDW4kvly5cvcMLl5/ao9+vXL89gPbs7HbJG1Ldt2wbAo0ePcjnjQ0ND5c/KbyMEAoFAIBAUjMhRF/yn0NfXp2LFivKWkpJCu3btcHBwYMeOHVy+fFn2q6empsrXaWpqqtSjUCjeu4hUaGgo7u7utGnThv379xMeHs7kyZNV6p06dSpRUVG0bduW3377DTs7O3bt2iWf9/T0JCAgAMhKe+nbt28u33p2tLW1MTIyUtk+JRYWFkD+7nTl5unpKae7BAcHq1hf0tPT5WDf3Nw8VxAvEAgEAoEgb8SI+hdMQEAAo0aNIiEh4bPf28PDg4SEBHkS6F9l6tSp7N27N9do9OXLl8nMzGThwoVyIKkc+VVy48YNEhMTSUhIUNE4Zicvh/q5c+coX748kydPJiQkhLp169KzZ89c1+bnZQfo2bMnEyZMYOnSpURHR9OnT58P7YKPitKjrqOj8153OmT1T+fOnfn111+5du0anp6e9O/fnydPnhAQECBPjq1ZsybLly+nVKlSZGRkEBUVxR9//IGZmRnFixdHT0+Ply9fUrJkSRwdHalZs6aKfz0jI4PIyEhevnxJsWLFcHBwyNPPXthyRS0rEAgEAsHnRATq/0HyC4JDQkJo3Lgxr169wsTEhG7dutGmTZtC1fmxg/qffvrpvSPWH4OKFSuSlpbG1KlTmTFjhso5U1NT3N3dadSoEYaGhrmCz+xYWVlx+PBhYmNj6devH7Vr16ZZs2bEx8ezZcsWatSowYwZM1i0aJF8TUFe9uxt6Ny5M+PHj6dFixaULVv243fCB5Ddox64eROJiYm8ePGCpKQkDAwMSExMVDG/GBsbM2zYMDQ0NNi2bRt3795l8uTJ8nkNDQ0yMzM5dOhQodsQFBSEiYkJY8aMwcXFhVOnTrFy5UqePHkilzE3N2fIkCEqL2iFLVfUsgKBQCAQfG5EoP4Fo6uri66u7me9Z0ZGBgqFosCg+GNSo0YNFi1axJw5cwCoU6cOvXv3ZsSIEdy4cQNzc3N27dqFmppagSknAwYMICQkhDp16pCUlISFhQXffPMNo0ePZtiwYaSkpNC2bVumTJnC1KlTAVUv+9OnTylevDidO3fONRm0f//+/Pzzz/Tr1++T9UNRSU5OJj4+HktLS9mVPnTYcNJSU/Isr6mlTeDmTQwaNIh+/fqxa9curl27hq6uLqmpqZw8eRITExNKly5NdHT0e+9vZmbGixcvSEhIwNfXl27durF161acnZ3x8fHB2tqauLg4goKC8PX1Zdq0aXIw7+vr+95yQJHKCgQCgUDwdyBy1L9glP5wJVevXqVx48YYGhqqOL9DQkLo27cviYmJKBQKFAqFHIy+evWK3r17Y2pqip6eHq1bt+bWrVu57rF3717s7OzQ1tYmPj4eDw8PlcWGMjMzmT9/PhUrVkRbWxtLS0sVs8jEiROxtbVFT08PGxsbfHx8SEtLU3keS0vLPFNpRo8eTVhYGAB+fn4MHz4cSZKoXLkyxsbGWFlZyakvSkqUKIGrqyt6enqYmprSs2dPtm7dKo+G79ixA4VCwYIFC7h06RL79u1j69at8rcZAPv27SMyMpKnT59iYWHBmDFjWLZsGTo6OkDWKP3s2bPlvhw7dqyKMvLvROlRj4+PByAxMZG01BTe2bjyxu4b3llnBbDvrF14Z+Oq4lbX0tKiW7duzJw5k/Hjx3PmzBlMTU2ZPn26SpBubGwsvxxpaWnJK8mqqamRkJBAvXr10NLSQlNTk+3bt/PVV18xc+ZM7O3t0dPTw97enpkzZ+Ls7MyqVatITU1l5cqVODs7F1guIyODjIyMQpcVCAQCgeDvQgTqAhl3d3fKli3LxYsXuXz5MpMmTUJTU5P69euzZMkSjIyM5NU+x40bB2Sl2Vy6dIm9e/cSGhqKJEm0adNGJYh++/Yt8+bNY926dURFRVGyZMlc9/by8mLu3Ln4+PgQHR3Nzz//rLLqpdJXHh0dzU8//YSfnx+LFy/+JP0QERFB06ZNsbOzIzQ0lDNnztC+fXsyMjL46aefcHZ2ZsCAAXJf5GVduXz5Ml27dqV79+5cu3aNqVOn4uPjI08cBZAkiQULFnDr1i0GDRrEkCFDGDx4MLGxsfm2LSUlhdevX6tsn5L79+9z8+ZN2ZueqWNMpn5xMnVNsvZ1TcjUMVYpm31bt24dGRkZtGvXTnbFK2nZsqWc/pSamoqbm1tWnZmZZGRkULZsWVJTU0lNTSUjIwMnJycVPztkBfXu7u48fvyYPXv28OTJE9zd3QssFxkZSWRkZKHLCgQCgUDwdyFSX/6j5PSJA+8dHSzI+a0c/czuEb916xZ79+7l7Nmz1K9fH8jKKy5Xrhy7d++WA6+0tDRWrlxJjRo18rzvn3/+yU8//cTy5cvlyZQVKlTg66+/lsu8z1deWOrXr68SmJ0+fTpXmfnz51OnTh1WrlwpH7O3t5c/a2lpoaenl8upnp1FixbRtGlTfHx8gKwJpdHR0SxYsAAPDw8ga5T69evXODo6smDBAvT19Vm8eDEnTpxQcbxn53N71AvypRel7ObNm3Mdy+lbb9OmDb/88ou8n31hJ0D+JiIn1tbWQJYWMvt+fuWye9yLUlYgEAgEgs+NCNT/o+T0iQNcuHAhTyuJkoKc33kRExODhoYG9erVk4+ZmZlRuXJlYmJi5GNaWloFKvliYmJISUmhadOm+ZZ5n6+8sGzdupWqVavK++XKlVNxfEPWiLryJeNDiYmJoUOHDirHGjRowJIlS8jIyEBdXR0TExMmT57M+PHj5TLm5uYF+ts/t0dd6Uu/f//+e4P2nG51+J9fvVevXjx+/FhlMSdlYK3kwIEDKvva2toq+8nJyXneNy4uDvhf4B8XF6fyYpWzXHaPe1HKCgQCgUDwuRGpL/9RcvrEK1asSJkyZQq85n3O7w9FV1e3wIma75vQWpCvXKFQFEnxWK5cOZU+yRkMFqY9eTF37twiXwN5+9uzO8hz8rk86ko9Y8OGDbG1tZUDcLXkRNTe/IHau4Ss/XcJqCVn5abndKvb2trSt29f1NTU2Llzp8o3JACHDh1SyVFXriCrpqaGuro6Dx8+REtLCy0tLdTV1QkLC8vVN5mZmQQFBWFhYUGHDh0wNzcnKCiowHIODg44ODgUuqxAIBAIBH8XIlAXqKD0fR85coTOnTvj7+8P5O0Rr1q1Kunp6Vy4cEE+9uLFC2JjY7Gzsyv0PStVqoSuri7u7u7yZNXsW9++fWVfeZ06dahUqZKcM/0pcHBw4Pjx43meu3fvHidPnlTR+QEMGzZMZb9q1aqcPXtW5djZs2extbX9Vzi6lXpGHR0dnj59yosXL9DQ0ET37kn0o/eiG3cKAN24U+jePZmnW/3UqVP07duXzMxM3rx5I0+aVaJcJRayctTT09OBrEDZ2NiYCxcukJqaSlpaGm5ubpw/fx5vb2+ioqJ4+/YtUVFReHt7ExoayuDBg9HS0mLIkCGEhoYWWE5dXR11dfVClxUIBAKB4O9CpL4IgPc7v62srEhKSuL48ePUqFEDPT09KlWqRIcOHRgwYABr1qzB0NCQSZMmUaZMmVxpHwWho6PDxIkTmT17NtWrV2ft2rVywP/dd9/x22+/0adPH7Zs2ULdunUJDg7+KCP9+eHl5UX16tUZMmQIgwYNQktLixMnTqikw1y/fp179+5hYGBAsWLFcs0HGDt2LHXr1mXGjBl069aN0NBQli9frpL3/m/g6dOn9OzVO08to4amJjOmT8fMzAxjY2OVyb/Z1Yft27fHz8+vSPdV5oabmpoyevRoXFxcsLOzY+XKlQwdOlQuZ2FhoaJRdHFxYdq0ae8tV9SyAoFAIBD8HYhAXQC83/ldv359Bg0aRLdu3Xjx4gW+vr5MnToVf39/Ro4cSbt27UhNTcXFxYUDBw7kSul4Hz4+PuzZs4cbN27g4uKChYUFgwYNwtzcnO+++46IiAgGDx4sW05KlCiRK2c5KSkJhUIhL+gEWfnmtWrVUpk0evbsWSZPnkxYWBja2tpUrFhRPnfo0CFmzpyJpqYmfn5+rFmzBn19ferXr0+PHj3kSYZRUVHy57i4uFypL/b29rRs2ZJp06YxZcoUtLW1+f777+WJpCEhIbIlpU6dOkRHR1OzZs1887A/N0qPekpKiqxlRJLQjTuVpWZUKNC9exIzMzN5YSQlb9684aeffsLJyYlp06bRq1cv6tevz5QpU9i7dy87d+7kzZs3uLm5sWvXLpKSkqhduzYlSpQocGVSFxcXGjRo8N5VRAtbrqhlBQKBQCD47EgCwT+EPn36SB06dMjzXEZGhlStWjWpadOmUkREhHTy5EmpVq1aEiDt2rVLkiRJOnHihARIr169kq8LDw+XACkuLk7e19bWlgYPHixFRERI169fl5YtWyY9f/5ckiRJ+vXXX6UdO3ZIt27dksLDw6X27dtL1atXlzIyMiRJkqSwsDAJkI4dOyY9fvxYevHiRZ5tHzFihFS6dGnpwIEDUlRUlNSnTx/J1NRULq9sa7169aSQkBApKipKatiwoVS/fv0C+yg5OVlKTEyUtwcPHkiAlJiYWMTeLpjY2FjJ1dVV2rhxo+Tq6irVGbxQqjN4Ya7PR44ckWJjY1U2Pz8/ydXVVTp48KB05coVydXVVbp+/bpc9/Xr1yVXV1fpypUrKp8FAoFAIPhSSExMLNTfbzGiLvhHkZdW8ocffqBOnTrcuHGDw4cPy3aP2bNn07p16yLV/z71ojLVR8mGDRsoUaIE0dHRVKtWjRIlSgBZdpv89Ixv3rxh1apVBAQEyO3z8/Pj6NGjrF+/XsXyMmvWLFxdXQGYNGkSbdu2JTk5OV8V4efWM27YsKHA8wWZYEqXLs3z588BVQ1idvWhs7Oz/FkgEAgEAoEqIlAX/KPISytZrFgxNm/eTLly5VTc28ogryi8T71469YtpkyZwoULF/jjjz9kI0h8fDzVqlUr1D3u3LlDWloaDRo0kI9pamri5OSkoq0EVKwiFhYWADx79gxLS8s86/7cesZ+/foVGKznpWQ8deoUgYGBPHr0SM5bz65BzK4+FBpEgUAgEAjyRwTqgn8USq3kh6BcyEj6f5MIoLJCKrxfvdi+fXvKly+Pn58fpUuXJjMzk2rVqpGamvpBbXof2XP5larC9+kZ81JKfiqULw/5oVQyZiczM5PAwEAOHDjAwoULZQ3izJkzAWT1YbVq1fD19RUaRIFAIBAI8kHoGT8CAQEB8uTFL5HP8fxVq1blwYMHPH78WD52/vx5APbt2wcgp6VkLxMREaFST0HqRaVpxtvbm6ZNm1K1alVevXoFwMCBA1myZAlaWlpAwau8VqhQAS0tLRU9Y1paGhcvXiyStvLvROlRV6b3qCUn5ulOzwsrKysGDhxIZGQkQ4YMwdHRkXPnzjFy5EhGjhxJaGgobdq0YdSoUZw7d45WrVp9jkcSCAQCgeBfhwjUgefPnzN48GAsLS3R1tbG3Nycli1b5vJg50e3bt24efPmJ27lv5OAgIA83ejZt3v37snlU1JSePLkicr2xx9/0KxZM2xtbenTpw9Xr17l9OnTTJ48WeVeFStWpFy5ckydOpVbt24RHBzMwoULVcp4eXlx8eJFhgwZQmRkJDdu3GDVqlX88ccfmJqaYmZmxtq1a7l9+za//fabSpoJQMmSJdHV1eXQoUM8ffqUxMTcAau+vj6DBw9m/PjxHDp0iOjoaAYMGMDbt2/p37//x+vcT4jSo66mpib70wvjTgcICwtj7969QFYqkXLF0WvXrnHt2jUkSWL9+vVERUUB4O/vj7u7O6dOnfpMTycQCAQCwb8DEaiTNYEwPDycjRs3cvPmTfbu3UujRo148eJFoa7X1dWlZMmSn7iV/066devG48eP5c3Z2ZkBAwaoHMueY33o0CEsLCxUtq+//ho1NTV27drFu3fvcHJywtPTM9dERk1NTX755Rdu3LiBg4MD8+bNk9MtlNja2nLkyBGuXr2Kk5MTzs7O7NmzBw0NDdTU1NiyZQuXL1+mWrVqjB49mgULFqhcr6GhwdKlS1mzZg2lS5fO1xc/d+5cunTpQq9evXB0dOT27dscPnwYU1PTj9Szn56nT58yavQY0tPTcp3T0NRkyeJFKu50+J8/3cbGhhUrVrB//35GjhxJpUqVUCgUNGrUCMiawLts2TIOHDjAihUrsLGxwdfXVwTrAoFAIBBk44sP1BMSEjh9+jTz5s2jcePGlC9fHicnJ7y8vPjmm29Uyn3//feUKlUKHR0dqlWrxv79+4G8Uz/27NmDo6MjOjo62NjYMG3aNHnlRcjKR163bh2dOnWSFw9SjkIqiYqKol27dhgZGWFoaEjDhg25c+eOfH7dunVUrVoVHR0dqlSp8t7FdA4dOsTXX3+NiYkJZmZmtGvXTqW+e/fuoVAo2LlzJ40bN0ZPT48aNWoQGhqqUk9AQACWlpbo6enRqVOnAl9odHV1MTc3lzctLS309PTkfR0dHb7//ntKlCgh3zciIgJJkuRtwYIF1K1bFwcHB2JiYmjTpg2xsbG0bNmS8uXLU6FCBfr164ehoSE9evRg2LBhvHv3jlOnTlGnTh0Arly5Ij/TiBEj+PHHH0lOTubVq1ccOnSI48ePY29vT9u2bXn79i2zZs3i6tWruLq6IkkSenp68jN5enpy5swZ2rVrx6VLlzAyMuLt27esWbNGLqOjo0PJkiVRKBRoampSpUoVduzYQc2aNQH+f6RaQ8WbXrNmTUaOHEmvXr0K/Dl+DpKTk4mMjJQd6u+ssxb/eWftwjsbV9LT0nK58jMyMlixYgXVq1fH29sbe3t7DAwM6NSpE2vWrOGrr77i9OnTODs7s2zZMqpXr46enh729vbMnDkTZ2dnVq1aVWBakUAgEAgEXxJffKBuYGCAgYEBu3fvJiUl9+qLkDU5rnXr1pw9e5bAwECio6OZO3duvouinD59mt69ezNy5Eiio6NZs2YNAQEBuUaAp02bRteuXYmMjKRNmza4u7vLmrrff/8dFxcXtLW1+e2337h8+TL9+vWTg/2goCCmTJnCrFmziImJYfbs2fj4+LBx48Z8n/XNmzeMGTOGS5cucfz4cdTU1OjUqVOuyYuTJ09m3LhxREREYGtrS48ePeT7Xrhwgf79+zNs2DAiIiJo3LhxrlHrouDm5sazZ884ePAgly9fxtHRkaZNm8r9EBwcTKdOnWjTpg3h4eEcP34cJycnlToWLlxInTp1CA8PZ8iQIQwePJjY2NhCP9Ply5fp2rUr3bt359q1a0ydOhUfHx8CAgLybHNmZiYdOnTg5cuXnDx5kqNHj3L37l26desmlwkKCmLWrFnMmzePy5cvY2lpqWKzcXFxwcbGhs2bN8vH0tLSCAoKol+/fvn2V0pKCq9fv1bZPgXx8fHy72umjjGZuiZZn3VNyNTJSndRLtik3A4cOMDTp0+JjIzk4cOHKvWpqanh5ORERkYGTk5O8sTf7Ofd3d15/PgxkZGRn+SZBAKBQCD41/HJje7/An799VfJ1NRU0tHRkerXry95eXlJV69elc8fPnxYUlNTk2JjY/O83t/fXzI2Npb3mzZtKs2ePVulzObNmyULCwt5H5C8vb3l/aSkJAmQDh48KEmSJHl5eUnW1tZSampqnvesUKGC9PPPP6scmzFjhuTs7Fy4h5Yk6fnz5xIgXbt2TZIkSYqLi5MAad26dXKZqKgoCZBiYmIkSZKkHj16SG3atFGpp1u3birPXxCurq7SyJEjJUmSpNOnT0tGRkZScnJyrmdbs2aNJEmS5OzsLLm7u+dbX/ny5aWePXvK+5mZmVLJkiWlVatWFfqZvvvuO6l58+Yq9Y4fP16ys7NTuc/ixYslSZKkI0eOSOrq6lJ8fHyuOsPCwiRJkqR69epJQ4cOVamzQYMGUo0aNeT9efPmSVWrVpX3d+zYIRkYGEhJSUn5Pq+vr68E5No+1YJHBS12VNCW17+V4OBgydXVVTpw4ECe93zz5o3k6uoqHTt27KM+i0AgEAgE/zQKu+DRFz+iDlk56o8ePWLv3r20atWKkJAQHB0d5RHViIgIypYtm0tDlx9Xr15l+vTp8mi9gYGBnJf99u1buVx2JZ2+vj5GRkY8e/ZMvmfDhg1zpRdA1sj4nTt36N+/v8o9Zs6cqZLKkpNbt27Ro0cPbGxsMDIywsrKCsgaPc1Ofm5vgJiYGOrVq6dS/kN85pDVT0lJSZiZmak8R1xcnPwcERERNG3atMB6srdXoVBgbm4ut7ewz5TdeQ7QoEEDbt26lWcaRkxMDOXKlVPJrbezs8PExET2pMfGxuYa+c+57+Hhwe3bt2V7TUBAAF27dkVfXz/fZ/Xy8iIxMVHeHjx4kG/ZT83kyZNZu3atvI0dO7bA8spvrLKn+2RHONUFAoFAIFBFeNT/Hx0dHZo3b07z5s3x8fHB09MTX19fPDw83uvezklSUhLTpk2jc+fOed5HSc4gXKFQyGkoBd0zKSkJyFrtMmfQnF86DhTeEV5Ut/eHkpSUhIWFBSEhIbnOKXP+C9P3BfVjXmU+5TMVhZIlS9K+fXv8/f2xtrbm4MGDefZFdj63Rx2y1Iz8v5te7V0C/H//5XSoV6hQgYCAAF68eJGrbzMzMwkLC0NdXZ2wsDA6dOigkv6SmZkp+9WFU10gEAgEgizEiHo+2NnZ8ebNGyBrNPbhw4eFVjA6OjoSGxtLxYoVc205c3Pzw8HBgdOnT+dasAegVKlSlC5dmrt373LmzBnq1Kkj1599qfbsFOQILwpVq1blwoULKseUI8JFxdHRkSdPnqChoZGrn4oXLw4U7D2HrGDfy8vrg+6vpGrVqrlUnGfPnsXW1jbPFx+l0z37aHZ0dDQJCQmyJ71y5cpcvHhR5bqc+5A1MXXr1q2sXbuWChUq5BrZ/7uwtLRkzpw5aGhqFVrNqK6uzuDBg1EoFPj7+xMVFcXbt2+JiorC29ub8+fP4+bmxvnz5/H29iYqKoo///yTXbt28f3333Pu3Dm+//77Al82BQKBQCD4kvjiR9RfvHiBm5sb/fr1w8HBAUNDQy5dusT8+fNl9Z6rqysuLi506dKFRYsWUbFiRW7cuIFCochzsZYpU6bQrl07LC0t+fbbb1FTU+Pq1atcv34918TL58+fM2XKFIKDg0lMTGTkyJH88ssvjBw5kmXLltG9e3e8vLwwNjbm/PnzODk5UblyZaZNm8aIESOYPn06Bw8e5Nq1a1y6dIlXr17lcn8DKo5wCwsL4uPjmTRpUpH7a8SIETRo0IAff/yRDh06cPjwYQ4dOlTkegCaNWuGs7MzHTt2ZP78+dja2vLo0SN5AmmdOnXw9fWladOmVKhQge7du5Oens6BAweYOHFike5Vr149bt68qbLcvbe3NxUrVmTs2LHUrVuXGTNm0K1bN0JDQ1m+fHkui87Lly9RKBRcuXKF6tWr4+7uzpIlS0hPT2fIkCG4urrKlpnhw4czYMAA6tSpQ/369dm6dSuRkZHY2Nio1NmyZUuMjIyYOXMm06dP/6B+/BTo6Ojg7OxMUOBm7t69K3+Lo8TAwEBOvwEwNjamVKlSNGvWDC0tLVauXMnQoUPl8hYWFkybNg0XFxfs7OxynVeyevVq1NTUcHFx+bQPKBAIBALBv4HPlDP/jyU5OVmaNGmS5OjoKBkbG0t6enpS5cqVJW9vb+nt27dyuRcvXkh9+/aVzMzMJB0dHalatWrS/v37JUnKPZlUkiTp0KFDUv369SVdXV3JyMhIcnJyktauXSufB6Rdu3ZJDRs2lOrVqyf99ttvkqGhoeTj4yPNnj1b2rNnj3T16lWpRYsWkp6enmRoaCg1bNhQunPnjlxHUFCQVLNmTUlLS0syNTWVXFxcpJ07d+b7rEePHpWqVq0qaWtrSw4ODlJISIjcDkn638TL8PBw+ZpXr15JgHTixAn52Pr166WyZctKurq6Uvv27aUff/zxgyaTSpIkvX79Who+fLhUunRpSVNTUypXrpzk7u6uMlFzx44d8nMWL15c6ty5s3xO+fPITo0aNSRfX1+VZ9LW1pZ69+6t8kwNGjSQ+vTpI0lS1oRiOzs7SVNTU7K0tJQWLFigUmf58uUlHx8fuX/u378vffPNN5K+vr5kaGgoubm5SU+ePFG5Zvr06VLx4sUlAwMDqV+/ftKIESOkr776SpIkSUpJSZHL+fj4SOrq6tKjR48K1YfZKexklKLy7t07KTY2Vrp//77UrHmL904ebda8hcrzp6enS1euXJGOHTsmXblyRUpPT1ep/8SJE1KjRo2kXr16SVu3bpX+/PNP6fr165KXl5fUqFEj6eTJkx/1eQQCgUAg+CdR2L/fX3yg/neiDBhDQkLeW27gwIFSyZIlJW1tbcne3l7at2+fJEl5vyTs3r1bqlWrlqStrS1ZW1tLU6dOldLS0uTzgOTn5yd17NhR0tXVlSpWrCjt2bNHpY7r169Lbdu2lQwNDSUDAwPp66+/lm7fvi2f9/Pzk6pUqSJpa2tLlStXllasWFHgMxw8eFBq0KCBZGxsLBUrVkxq27atSn3KgHrHjh1So0aNJF1dXcnBwUE6d+6cSj3+/v5SuXLlJF1dXaljx46FekkApHHjxklqamqy4UaSJKlDhw5yoF6YNpLDtOLq6ipJUu6Xj7zqLl++vGRjYyNZW1tLhoaG8rnTp09LpUqVktTU1KSyZctKw4cPL9D6kpNPFagrrS9HjhyRXF1dJae+U2Tji5OHT9YxD5+s/b5T8jW95EV6errUrVs3afjw4bmuy8jIkLy8vKTu3bvnCu4FAoFAIPivIKwv/wKEw/3zOdwbNGhAu3btCkz3eV8bw8LCADh27BiPHz9m586d+daVkZFBVFQUUVFR3Lhxg4SEBO7evUvz5s0JDw/Hx8eHiIgIWrRowYsXL1i/fj1bt27lzJkzDBs2LN96P5dHXcnjx4+B/3ep6xfP2rI71fWL5+tVz287cOAAT548wdHRMdf9hE9dIBAIBIL/8cXnqP+daGhoEBAQwIABA1i9ejWOjo64urrSvXt32Xxx7NgxwsLCiImJkQ0bOfOcszNt2jQmTZpEnz595LIzZsxgwoQJ+Pr6yuU8PDzo0aMHALNnz2bp0qWEhYXRqlUrVqxYgbGxMVu2bJFtKdntHr6+vixcuFC22lhbW8svBcr75qRLly4q+xs2bKBEiRJER0dTrVo1+fi4ceNo27at/Cz29vbcvn2bKlWq8NNPP9GqVSsmTJggt+ncuXOFzpGfM2eOPEm3YcOGRW5jiRIlADAzM8Pc3Py991O+8CQnJ5Oeno6Tk5PK6qUWFhakpqYyfPhwPDw8AFi6dCmurq6sWrVKxRCU/RmmTZtWqOf9GGzYsKHQZXO+DL6P/BaUUk6IVr44CgQCgUDwpSIC9b+ZLl260LZtW06fPs358+c5ePAg8+fPZ926dXh4eHyQw/3s2bMqQVNGRgbJycm8ffsWPT094OM43AcMGCAfT09Pz2UByc6tW7eYMmUKFy5c4I8//pBHqePj41UC9fx851WqVCEmJoZOnTqp1Ovs7FzoQN3Ozo7evXszadKkXJaXorSxMKirq9OiRQs5GLWysuKbb75RKVO2bFlevnyJn58ffn5+AEiSRGZmJnFxcVStWjVXvV5eXiqThV+/fq3ic//Y9OvXr9DB+uTJk1Um6+ZHbGwsCxcuxMPDI89gXfjUBQKBQCDIQgTq/wCEw/1/fGrf+bRp07C1tWX37t0f3MacqKmpIf2/Z1xJXlrNnAsZJSUl8f333zNixIhcZS0tLfO81+fyqFtaWrJ27Vo5JUstOVE+p/YuQfW//38up1c9PypUqEBQUBAxMTGsXr1a5VmFT10gEAgEgv8hAvV/IHZ2dnIgmd3hXpggKLvD/UNxcHBg48aNpKWl5Qroszvc3d3dC1Wf0uHu5+cnp5ycOXOm0O1p3LgxkBW4x8bGkpSUxPTp09HR0Smyw71cuXIMGzaMH374gQoVKhSpjVpaWgC5VistUaKEnMutPH/9+nW53fnh6OhIdHT0X/pZfSp0dHSwtbXl6dOnaGppw92Tucoo3epAnl717KSmprJnzx4ePXpE6dKlGThwIDNmzEBdXR13d3esra2Ji4sjKCiI0NBQOb0nPDycly9fUqxYMRwcHIRjXSAQCARfFCJQ/xv5ux3u+TFs2LBCOdyNjY1p1aoVKSkpn9Th7uTkxJ49e7hw4QKdOnVi2bJlJCQk4ODg8EEOdy8vL/z8/IiLi6Nbt26FbmPJkiXR1dXl0KFDlC1bFh0dHYyNjWnSpAljxowhODiYChUqsGjRIhISEt7bjokTJ/LVV18xbNgwPD090dfXJzo6mqNHj7J8+fIiP9enoFSpUixZvIiRo0aRnse3BAAamposWbyIUqVK5Xl+9erVbN++XeUFR11dnfr163Pnzp08fesA7u7uPHnyRD5nbm7OkCFDhGNdIBAIBF8On8VBI8iTv9vhnh1jY2PJ399f3v8nOdwbNGggH1u/fr2kq6srKRQKqX379tLcuXMlLS0tqUSJEpK2trbUoEEDKSwsTC5/4sQJCZCmTJki1axZU9LR0ZEaN24s/fDDDxIgGRsbS4aGhlKPHj2kffv2yW20traWqlWrJgGSgYGBrGr08/OTypUrJykUClkn6erqKmloaEjq6uqSqampNGfOHFnPeObMGcnV1VVSKBSSrq6u1KJFC+nly5eSJGWpCIcMGSLp6OhIgKSmpiZZWlpKs2bNyrcfc/KpPerK/2ZXNGbXM75Pzbhs2TLJ1dVV6tChg7Rv3z7pjz/+kPbt2yd17NhRcnV1lVasWJHLt37y5EmpUaNGkpeXl3T9+nXpzZs3wrEuEAgEgv8UwqMu+E/Qp08fqUOHDvL+tWvXJHNzc6levXqSJEnSiBEjpNKlS0sHDhyQoqKipD59+kimpqbSixcvJEn6X6D+1VdfSWfOnJGuXLkiVaxYUXJ1dZVatGghXblyRTp16pRkZmYmzZ07V77Pr7/+Ku3YsUO6deuWFB4eLrVv316qXr26lJGRIUnS/14sqlSpIu3fv1+KjY2Vvv32W6l8+fKysz48PFzS1taWBg8eLEVEREjXr1+Xli1bJj1//lySJEmaOXOmVKVKFenQoUPSnTt3JH9/f0lbW/u9Xv3sfGqPemxsrPy5zuCFkuO4jVKdwQvlfeXnvAL1lJQUqXHjxpKrq6sUFRWlci4tLU3q2LGj1KRJE5XFn5SOdS8vL7mvlQjHukAgEAj+KxT277dIfRH849m/fz8GBgakp6eTkpKCmpoay5cv582bN6xatYqAgABat24NZE1yPXr0KOvXr2f8+PFyHTNnzqRBgwYA9O/fHy8vL+7cuSOrLr/99ltOnDjBxIkTgY+jk5w/fz516tRh5cqVcnl7e3sgy4c+e/Zsjh07hrOzM5Cl0jxz5gxr1qzB1dU1z75ISUlRce5/ao/6/fv3P7jcsWPH5InAGhqq/6vR0NCgX79+LFy4kD179uDm5gZAZGQkT548wcfHBzU11WUelI71oUOHEhkZSa1atT7kkQQCgUAg+NfwlwL127dvc+fOHVxcXNDV1UWSJNnUIRB8LBo3bsyqVat48+YNixcvRkNDgy5duhAZGUlaWpocgEOWNcbJyYmYmBiVOrIbREqVKoWenp6Kj75UqVLygkbwcXSSERERcgCak9u3b/P27VuaN2+ucjw1NbXAAPRze9QL60YvqkMdkF9QHj16JB9TutOVLvWcCMe6QCAQCL4kPihQf/HiBd26deO3335DoVBw69YtbGxs6N+/P6ampixcuPBjt1PwBaOvry+bUTZs2ECNGjVYv349devWLXQdObWPBekp4ePoJAujuQwODqZMmTIq5wrSL35uj/rkyZOB9wfieTnUjx07xrZt2/K9JjQ0FIDSpUvLx5Tu9Li4OPnbh+wIx7pAIBAIviQ+KFAfPXo0GhoaxMfHqyzK0q1bN8aMGSMC9SKgUCjYtWsXHTt2/OA6GjVqRM2aNVmyZMlHa9c/iRs3blCzZk0iIiJQU1Pjhx9+YMyYMdy+fRstLS3Onj0rB4lpaWlcvHiRUaNGFbr+kJAQpk2bJo+UL1++vEBVY0hIyHvVi5A12n78+PE8R8Dt7OzQ1tYmPj4+3zSXvPjcHnVLS0vi4+OB//nSVTzq//9ykpdD3crKiu3bt6Otrc3hw4dZsGCBvOiWo6Mj+/fvR01NTTYcQVafmZubExgYiJubG69evZLVjAqFQnas29vbc/nyZSIiIgCoWbMmNWvWJCMjQ0UD2aFDB1mr+aFkZGQQGRkpayLt7e2Jior6IG1kzrqEclIgEAgEBfFBgfqRI0c4fPgwZcuWVTleqVKlQue0/tPx8PBg48aNfP/996xevVrl3NChQ1m5ciV9+vTJdxn0nEydOpXdu3fLgYXgw3Fzc2P8+PGsWrWKwYMHM3r06FxO9/HjxxMREYGnp2eR69fT00OhUHywTlKJl5cX1atXZ8iQIQwaNAgtLS1OnDiBm5sbxYsXZ9y4cYwePZrMzEy+/vprEhMTOXv2LEZGRvTp06fI9/uYKD3qAMbGxmhoaqGbw6Wu9Kjn51A/f/48WlpaJCcns2PHDpVzt27dArJePM6fPy8rF9XV1WnUqBFbtmyRR9wBzMzMKF68ODdv3qRbt2507dpVRYG5efNmtLW1SUtLU/lmZPXq1bi5uTFo0KAP6odTp06xcuVKFU2kurq6imqysNrIvOoSykmBQCAQFITa+4vk5s2bN/JS9Nl5+fLlZxnt+1yUK1eOLVu28O7dO/lYcnIyP//8c74rRwo+PRoaGgwbNoz58+cza9YseSKppqYmdevW5cCBAzx+/JgVK1Z8UP1qamro6elx+fJlqlWrxujRo1mwYEGR67G1teXIkSNcvXoVJycnnJ2d2bNnDxoaGqSmpjJjxgx8fHyYM2cOVatWpVWrVgQHB+ebn/13kt/Mk/wc6qdOnWLKlCkqE1/zIiUlBV9fX06dOiVft3XrVipXrqyS3qJckKp+/fps2bKFhIQEqlevzqJFi1i4cCHFixcnJSWFzMxMvvnmG3bs2MG4ceMwMjJiy5YtuV62C8OpU6fw9fXFxsaGFStWMHnyZBQKBUZGRkBWus+KFSuwsbFReYbC1HXgwIFCXysQCASCL5cPCtQbNmzIpk2b5H1lfu/8+fMLlRLwb8HR0ZFy5cqxc+dO+djOnTuxtLRUmfC3adMmzMzMcgUlHTt2pFevXgQEBDBt2jSuXr2KQqFAoVCojMT/8ccfdOrUCT09PSpVqsTevXtV6jl58iROTk5oa2tjYWHBpEmTSE9Pz7fdr169onfv3piamqKnp0fr1q3lEUwlfn5+lCtXDj09PTp16sSiRYswMTEB4N69e6ipqXHp0iWVa5YsWUL58uVVRiyzs3nzZurUqYOhoSHm5uZ89913PHv2TD4fEhKCQqHg+PHj1KlTBz09PerXr09sbKxKPXPnzqVUqVIYGhqirq6eZ1rQpEmTePbsGfr6+kydOhWAsLAwwsLCaN26Nebm5hgbG9OoUSOSk5OZMmUKJUuWREdHh3Xr1nH06NFcdZ4+fVr+rKGhQXR0NMnJyRw7doyxY8fSsWNH+aVA2c81a9YEYMeOHTRo0AAtLS08PDzk9C9XV1fOnj2Lubk5Y8aMoWTJklhaWjJw4EAUCgW1a9emRIkSqKuro62tja2tLbVr186zfz8nycnJ3Lx5k+TkZBITE0lLS+WdjSvvrLNGft9Zu/DOxpX0PFavzcjIYMWKFSqmF01NTSwtLenQoQPly5fPdW7VqlWkpqaycuVKnJ2dWbVqFdu3b2fx4sX4+PiwcOFCvvrqK0JDQ9HW1sbZ2ZmffvoJR0dHqlevzqtXr9DQ0EBLS4uLFy9iYmJCu3bt2L59O6ampmzfvj3X/IKCyMjIkNsyc+ZMqlSpwvr163F2dmb79u3Ur1+fDRs2UKVKFWbOnCm3OeeqtXnVZW9vj56eHvb29u+9ViAQCARfNh8UqM+fP5+1a9fSunVrUlNTmTBhAtWqVePUqVPMmzfvY7fxb6Vfv374+/vL+xs2bKBv374qZdzc3MjIyFAJsJ89e0ZwcDD9+vWjW7dujB07Fnt7ex4/fszjx4/lFTEhS+vXtWtXIiMjadOmDe7u7rLV4vfff6dNmzbUrVuXq1evsmrVKtavX1/gKqMeHh5cunSJvXv3EhoaiiRJtGnThrT/X1ny7NmzDBo0iJEjRxIREUHz5s1VJgtaWVnRrFkzlecG8Pf3x8PDI5c2T0laWhozZszg6tWr7N69m3v37uHh4ZGr3OTJk1m4cCGXLl2SNX1Ktm3bxtSpU5k9ezaXLl3CwsJCRW/4IUyYMIEdO3awceNGrly5QsWKFWnZsmWhzCEPHjygYcOGVKtWjV9//TXPb4wuX75M165d6d69O9euXWPq1Kn4+PjkSov68ccfqVGjBuHh4fj4+HDnzh1atWolG2y2bt3KmTNnGDZsWL7tSUlJ4fXr1yrbpyA+Pp6BAwdy+vRpOZ0tU8eYTF2TrM+6JmTqZKW73L9/n5s3b8rbgQMHePr0qcrLZFpaGt999x2jR49mwoQJKudSU1N5/Pgxe/bs4cmTJ7i7u6Ompoa6ujq1atWiadOm1K5dm3r16pGZmUlKSgo9e/aUfw/37NlDRkYGXbt2leuKjIwE/qeBVOauFxalJlLZluz7GhoauLu7y/dRaiOz37egurLzvmsFAoFA8GXzQTnq1apV4+bNmyxfvhxDQ0OSkpLo3LkzQ4cOlRV1/xV69uyJl5eXHKycPXuWLVu2EBISIpfR1dXlu+++w9/fX9bxBQYGYmlpSaNGjVAoFBgYGKChoYG5uXmue3h4eNCjRw8AZs+ezdKlSwkLC6NVq1asXLmScuXKsXz5chQKBVWqVOHRo0dMnDiRKVOm5PrDf+vWLfbu3cvZs2epX78+AEFBQZQrV47du3fj5ubGsmXLaN26NePGjQOyUjTOnTvH/v375Xo8PT0ZNGgQixYtQltbmytXrnDt2rUCg53sAbeNjQ1Lly6lbt26JCUlYWBgIJ+bNWuWPIFy0qRJtG3bluTkZHR0dFiyZAn9+/enf//+QJb//NixYyQnJ7/nJwX169dX6Y/Tp09ja2tbaNd6TmJjY2nevDmdOnViyZIl+apHFy1aRNOmTfHx8QGy+jM6OpoFCxaovKg0adKEsWPHyvuenp64u7vLE18rVarE0qVLcXV1ZdWqVejo6OS61z9Rz1hYNaPS7pJfao9S05jf+ewvSdnLKK9r06YNP//8M6Cqb8xLA/k+cmoic+7ndzyvlz+hnBQIBALBh1LkEfW0tDSaNm3Ks2fPmDx5Mtu2bePAgQPMnDnzPxekA5QoUYK2bdsSEBCAv78/bdu2pXjx4rnKDRgwgCNHjvD7778DEBAQgIeHR6G88tld3Pr6+hgZGckpIzExMTg7O6vU06BBA5KSknj48GGuumJiYtDQ0KBevXryMTMzMypXriy7xWNjY3FyclK5Lud+x44dUVdXZ9euXfLzNG7cGCsrq3yf4/Lly7Rv3x5LS0sMDQ3lYFxpDcnrebO7x5Xtz952+F+g9T62bt1KRESEvNnZ2XHnzp1Cu9az8+7dOxo2bEjnzp356aefCvw5xsTEqNQPWT+jW7duqaQz1KlTR6XM1atXCQgIwMDAQN5atmxJZmamrCHMiZeXF4mJifL24MGDAvvkrzJ58mRZ0VhQmbVr18pb9peR7CgD5fyeTRnI53c+e2pZ9jLK6w4cOCAfy57fnpcG8n1k10TmtZ/f8by0kTnL5EQoJwUCgUCQH0UO1DU1Nb+4r2j79etHQEAAGzduVBk1zk6tWrWoUaMGmzZt4vLly0RFReWZ9pEX73N6/x1oaWnRu3dv/P39SU1N5eeff8732SFrgnHLli0xMjIiKCiIixcvykF+Udzjf4Vy5cpRsWJFefsrE5u1tbVp1qwZ+/fvl1++/ir6+voq+0lJSXz//fcqLxdXr17l1q1bVKhQId92GRkZqWyfkvLly8vqS7XkRBU1o1LXqFQzKrc2bdpQqlSpXKuRHjhwgPT0dAIDA1XOaWlpYWFhQYcOHTA3NycoKCjX70NmZiZhYWGoqamhra1NYGCgXKZDhw6oq6uzbds2uS7ly2B6ejobNmxAXV1dRQP5PpSaSGVbsu+np6fLmkgHBwcyMzNV9t9XV87nKuhagUAgEHzZfFCOes+ePVm/fv3Hbss/llatWpGamkpaWhotW7bMt5ynp6c88t6sWTOVhWi0tLQ+aLJY1apV5TxzJWfPnsXQ0DCXHlNZPj09nQsXLsjHlMYMOzs7ACpXrszFixdVrsu5r3yeY8eOsXLlStLT0+ncuXO+7bxx4wYvXrxg7ty5NGzYkCpVqqhMJM2JlZVVnt73qlWrqrQdsjR/L1++lCe7FoUKFSrIrnUlSte6sj+UtGvXTk5DUVNTY/PmzdSuXZvGjRsXmDZRtWpVlfoh62dka2tboCPb0dGR6OholZcL5fZX3d9/lewedWNjYzS1tNG9e1JWMurGnUL37klZzZiamsr27dv56aef2LlzJwMGDMg14TkyMpK2bdsSGhqaK3998ODBaGlpMWTIEEJDQ/H29iYqKoq3b98SFRWFt7c358+fp2vXrqSkpBAaGsrIkSO5fPky165dw9TUlPT0dFJTU6lbty6vXr1i3759sovdzc2tSH2qrq6u0pYbN27Qv39/QkNDcXNz49y5c/Tr148bN27g7e1NaGgogwcPzvPnnbOunM9V0LUCgUAg+LL5oBx15SjVsWPHqF27dq6RwkWLFn2Uxv1TUFdXl9MkCvpj+t133zFu3Dj8/PxUrDiQFZjGxcURERFB2bJlMTQ0LNSI75AhQ1iyZAnDhw9n2LBhxMbG4uvry5gxY/Kc1FmpUiU6dOjAgAEDWLNmDYaGhkyaNIkyZcrII4rDhw/HxcWFRYsW0b59e3777TcOHjwoj24/f/6cKVOmEBwcjCRJjB49mrJly3LlypVcKR5KLC0t0dLSYtmyZQwaNIjr168zY8aMfJ/r4sWL6Ovrc/PmTZXjI0eOxMPDgzp16tCgQQOCgoKIiooqVJB+6dIlxowZQ0REBMnJyZQpU4b69eszcOBAxo8fT7FixbC0tGT+/Pm8fftWzoNXsnnzZooXLy47v9XV1QkKCqJHjx40adKEkJCQPOcYjB07lrp16zJjxgy6detGaGgoy5cvf+8k2IkTJ/LVV18xbNgwPD090dfXJzo6mqNHj7J8+fL3Pu+nJLtHPTExkenTpsqrqQIYGBhgZmaGsbExu3btYvv27YV6Ec1pRjI1NWX06NGyR9zFxYVp06axcuVKhg4dKpezsLBg2rRpuLi4YGdnx6JFi7h27ZpKmo3So7537155Yre6ujrdu3f/II96fm1RTuBV5uZnb1tR6yrMtQKBQCD4cvmgQP369es4OjoC5Aq0CpOT/W+kMCkGxsbGdOnSheDg4FxKwS5durBz504aN25MQkKCbFB5H2XKlOHAgQOMHz+eGjVqUKxYMfr374+3t3e+1/j7+zNy5EjatWtHamoqLi4uHDhwQE45adCgAatXr2batGl4e3vTsmVLRo8eLQeHXbp0ITU1lY0bN3Lx4kUmTpzIN998w4sXL/K9Z4kSJQgICOCHH35g6dKlODo68uOPP/LNN9/kWz4vunXrxp07d5gwYQLJycl06dKFwYMH88svv7y3r4YNG8aIESNYunQpurq63Lp1ix07djB9+nQUCgW9evXizz//pE6dOhw+fBhTU1OV601NTTE0NFQ5pqGhwS+//EK3bt3kYD0njo6ObNu2jSlTpjBjxgwsLCyYPn36e3++Dg4OnDx5ksmTJ9OwYUMkSaJChQoqRqC/i+TkZOLj49HR0aG/5wDSUlUDbE0tbQI3b2LXrl1s2bIFU1NTevfuzatXr9i0aZO8KJC5uTkNGzbk9OnTPHnyBE1NTdLS0vj666/p1KkTNWvWzPXy6+LiQoMGDfJdwVN5XpkuBJ9uZdK82vKhK5O+77kEAoFAIMiFJPioNGnSRBo+fPjf3Ywi4+npKX399dfSq1evJEAKCQmRJEmSpk+fLlWvXj1X+fv370vffPONpK+vLxkaGkpubm7SkydPVMrs3btXqlOnjqStrS2ZmZlJHTt2lM+VL19eWrx4sby/cOFCqVq1apKenp5UtmxZafDgwdKff/4pn/f395eMjY3zbf/ixYslKyur9z7nmTNnJFdXV0lXV1cyMTGRWrRoIb18+VKSJElydXWVRo4cKZdNTk6Wxo4dK5UuXVrS09OTnJycpBMnTuRq06FDh6QqVapI+vr6UsuWLaVHjx6p3HP9+vWSnZ2dpKWlJZmbm0tDhw6Vz7169Urq37+/VLx4ccnQ0FBq3LixFBER8d7nUJKYmCgBUmJiYqGvKQyxsbGSq6urdOTIEcnV1VWq991oydXVVXLy8JGc+k6RXF1dpaioKKlJkyZSx44dpbS0NCkmJkZydXWVhg8fLrm5uUnNmjWTmjRpIqWkpEgZGRmSl5eX1L17d2nSpElS9+7dpfT09I/aZoFAIBAI/i0U9u/3B+WoC3Lz6tUrdu3aRUhIiMpX2/9UfvzxR65evcrt27dZtmwZGzdupE+fPrJ9ZPv27Vy5coXly5czfPhwlWszMzPp0KEDL1++5OTJkxw9epS7d++qjAQHBwfTqVMn2rRpQ3h4OMePH89llsmOmpoaS5cuJSoqio0bN/Lbb78xYcKEQj+Pubk5jx8/LnCFx4iICJo2bYqdnR2hoaGcOXOG9u3b55uyMWzYMEJDQ9myZQuRkZG4ubnRqlUrlcWj3r59y48//sjmzZs5deoU8fHxsvYSYNWqVQwdOpSBAwdy7do19u7dS8WKFeXzbm5uPHv2jIMHD3L58mUcHR1p2rRpvqq+z+VRV/L48WMAJK0svWZ2f/rOnTvJyMigXbt23L17lzNnzgBgb2/Ps2fP5PUF9uzZo+ILd3JyEt5wgUAgEAgKw4e8BSQlJUne3t6Ss7OzVKFCBcna2lpl+xIpX768ZGRkJC1YsODvbkqhcHNzk0qUKCHp6OhIdnZ20qpVq+Rzv/76q6SlpSUBkpmZmTRx4kTp6tWr8vkjR45I6urqUnx8vHwsKipKAqSwsDBJkiTJ2dlZcnd3z/f+OUfUc7J9+3bJzMxM3n/fiHp6errk4eEhAZK5ubnUsWNHadmyZSpvqj169JAaNGiQbx3ZR9Tv378vqaurS7///rtKmaZNm0peXl5ymwDp9u3b8vkVK1ZIpUqVkvdLly4tTZ48Oc/7nT59WjIyMpKSk5NVjleoUEFas2ZNntf4+vpKQK7tU42oKzcnDx/J1dVVqjN4oVRn8EKVczm3DRs2SK6urtKDBw8kV1dXacmSJZIkSdKbN28kV1dXKTg4WHJ1dZWOHTv2UdssEAgEAsG/hcKOqH9QjrqnpycnT56kV69eWFhY/Gfz0ovCvXv3/u4mFIlt27ble65Lly4kJiZy+vRpzp8/z8GDB/nxxx9Zt24dHh4exMTEUK5cORWrjZ2dHSYmJsTExFC3bl0iIiIYMGBAodtz7Ngx5syZw40bN3j9+jXp6ekkJyfz9u1b9PT03nu9uro6/v7+zJw5k99++40LFy4we/Zs5s2bR1hYGBYWFkRERMgLUr2Pa9eukZGRIU+oVJKSkoKZmZm8r6enp6JStLCwkG03z54949GjRzRt2jTPe1y9epWkpCSV+iDL4X7nzp08r/Hy8mLMmDHy/uvXr1V+Dh+bfv36sWHDhjzPNWvWjGPHjtGrVy8aNmzIqVOnCAwMlHWcSq95Tj+6ckKp8IYLBAKBQFAwHxSoHzx4kODg4HwNIIJ/Pzo6OjRv3pzmzZvj4+ODp6cnvr6+hXbD6+rqFvpe9+7do127dgwePJhZs2ZRrFgxzpw5Q//+/UlNTS1UoK6kTJky9OrVi169ejFjxgxsbW3libNFaVNSUhLq6upcvnw512S/7KusKifoNmrUiJo1a9KoUSNZpVnQ/e7du8ewYcMoUaIE586dy3U+P8uNtrb2X/LDFxalnlEZVCtSs4wvau8S4P9fzDt37syJEyfYv38/ffr0oUyZMhw8eJA7d+5QsmRJtm/fLvvLs/vClS9OwhsuEAgEAkHBfFCOuqmpqRgN+8Kws7PjzZs3QJY3/MGDByqrYkZHR5OQkICdnR2SJJGZmZnnipYrV67ExMRExaN9+fJlMjMzWbhwIV999RW2trZFWu49P0xNTbGwsJDb7eDgwPHjxwt1bVhYGBkZGfz000+5HOd5KRrzwtDQECsrqwLv+eLFCzQ0NHj48CGVKlWiePHiVKxYMc/Vbz8nSj1jyZIl0dTSRuf3K4CqP93MzEz2lLdt25YBAwagra1NWFgYz549Iy0tDT09PRYvXszQoUM5d+4cRkZGhIaG0qpVK0JCQggPD1eZI5CRkSHPach5TiAQCASCL40PGlGfMWMGU6ZMYePGjUUa7RT883nx4gVubm7069cPBwcHDA0NuXTpEvPnz5c97M2aNaN69eq4u7uzZMkS0tPTGTJkCK6urtSpUweANWvW0K1bN9q1a8eCBQvkFSlXrFjBqlWr8PHxke9ZsWJF0tLSWLZsGe3bt+fs2bOsXr26SO1es2YNERERdOrUiQoVKpCcnMymTZuIiopi2bJlQFbaSPXq1RkyZAiDBg1CS0uLEydO4Obmlisw3rt3L3Z2dqxbt45mzZpRq1Ytnj9/zvHjx3FwcKBt27aFatfUqVMZNGgQJUuWpHXr1vz555+cPXuW9u3bA1kvDx07dsTd3R2ACxcucOrUKTp16iT35d9JqVKlCNy8ibt378oedQMDA2xsbChVqpRcLiUlJc+Xqz///JODBw/K+w8ePMDExAR/f3/5mLm5OUOGDAGyXuSePHmS65zwjAsEAoHgS0QhSdmWvCwktWrV4s6dO0iShJWVlcqS8ABXrlz5aA0UfF5SUlKYOnUqR44c4c6dO6SlpVGuXDnc3Nz44Ycf5HSO+Ph4hg8fzvHjx1FTU6NVq1YsW7ZMJXgbPnw4K1euRF1dHSMjI9TU1Pj6668ZOXIkLVq0ICMjgxIlStCnTx+KFy/OokWLSEhIQJIkOnfuzM8//8yrV68wMTHB0tKSZ8+ekZycDGT5+v38/AgODubw4cMUL14cGxsb4uPjefToEQYGBpibm/Py5UtevnyJs7MzHh4eeHh44OTkxNWrV9HV1aVevXps2bIFExMTOX2lU6dOuLu7c/PmTczNzdHX1+fFixcUL16cr776iokTJ7JixQq2bdtGamoqCxYsYN++fXLqS6dOnQDYtWsXHTt2ZM2aNSxevJjY2FiMjY3p3bs3Y8aMwdramjNnzuDn58fGjRtVfg7ffvst27dvf+/P6/Xr1xgbG5OYmFgo139hUXrULS0tSUxMxL1nL9LTsnLPczrUIWsEvmzZsty+fVulHmtrazIyMoiPj8fMzIwXL15QuXJlRowYgbW1NXFxcQQFBcmr79avXx93d/dc58SiQAKBQCD4L1HYv98fFKhPmzatwPO+vr5FrVLwH6Vjx44kJibSuXNnZsyYwcWLF7Gzs8PDw4Phw4dz48YNBgwYwNChQ5k6dSqQtYrrqFGjGDVqlFxPzZo16dixo1xGoVBQtmxZ5s+fT926dVm2bBkbNmzg/v37FCtWjLi4OCpXrszIkSPx9PQkPDyccePG8fvvv8vBf3707t2bUqVKsWDBAsaNG8erV69Yv369fH7IkCEEBwezYcMGSpYsyQ8//MDJkyfp168fS5YskdunDNSVmJiYsGTJEjw8PLh37x7W1taEh4dTvXp19uzZQ5cuXYiNjcXIyAhdXV2MjY3f27+fKlC/efMmAwcOZO3atQAMHDgQgOQyjuj8foWVK1cybNgwMjMzMTQ05M8//8TMzAxbW1vu3LnDy5cvSU9PR11dneDgYKZNm0ZYWBhGRkZoa2sTFBQk5/6npaXRrl07APbv36/y4p+ZmYm3tzdxcXEEBgaKxYEEAoFA8J+gsH+/Pyj1RQTigsKydu1a7O3tOXXqFDt27GDt2rWUK1eO5cuXo1AoqFKlCo8ePWLixIlMmTIFNbXCT5vw8PCgR48eAMyePZulS5cSFhZGq1atWLNmDZUrV2bBggUAVK5cmevXr8vLvufH69ev+fXXXwkNDQWgZ8+eNGzYkJ9++gkDAwOSkpJYv349gYGBss1l48aNlC1b9kO6B8gy1ijnfJQsWbLAl4iUlBR5gqeyvZ+S+/fvq+wrfeo7d+4kMzMTgIYNG3LgwAFevHiBk5MToaGh9OjRg19++YWMjAz27dsnH2/evDnbtm0jMjKSWrVqAVkrHSuf6fr16/JxQPavDx06VOUagUAgEAi+BD54waOEhATWrVuHl5eXvDjLlStX+P333z9a4wT/fkqWLMn3339P1apV6dixIzExMTg7O6soPRs0aEBSUhIPHz4sUt3ZrSH6+voYGRnJasTY2Fjq1q2rUr6gBZeU/PLLL1SoUIEaNWoAWSP55cuXZ+vWrQDcuXOH1NRU6tWrJ19TrFgxKleuXKS2fyhz5szB2NhY3j6lmhFg1qxZeb7cHDt2TP6s1DACspGmTZs28rFHjx7Jx5WqxuwLOuX3WYm1tXW+5wQCgUAg+C/zQYF6ZGQktra2zJs3jx9//JGEhAQga5TNy8vrY7ZP8B9AQ0MDDY3Cf3mjpqZGzoystLS0XOVyzo1QKBTyKO+Hsn79eqKiouQ2a2hoEB0dna9LPD8UCkWhnqGoeHl5kZiYKG/ZzTufgsmTJ+dp72nWrJn8OXtQrhwZzx68ly5dWj6unHCa3RqV32clSv+6ME0JBAKB4EvjgwL1MWPG4OHhwa1bt9DR0ZGPt2nTpsAl3AWCqlWryhMHlZw9exZDQ0M5faREiRLy0vWQld6hDNYKS+XKlbl06ZLKsYsXL6rsh4SEoFAo5BfNa9eucenSJUJCQoiIiJC3kJAQQkNDuXHjBhUqVEBTU5PWrVvLOfSvXr3i6tWrhIeHy3VLksShQ4fk/Vu3bvH27dt826ulpQXwXh2htrY2RkZGKtunQOlRb9iwIeXLl5ePK33qnTt3lr8VOX78OC1btsTExIQLFy7IDnXISutp3749YWFhqKurc/ToUczNzVW+DalWrZrsh69WrZpKO7L714V3XSAQCARfGh8UqF+8eJHvv/8+1/EyZcqoqNUEgpwMGTKEBw8eyBNJ9+zZg6+vL2PGjJHz05s0acLmzZs5ffo0165do0+fPkWeRDhv3jyuXbuGQqGQt5kzZwJZfnXlpNTsrF+/HicnJ1xcXKhWrZq8ubi4ULduXdavX4+BgQH9+/fn9evXNGvWjOvXr+e7CNSBAwcIDw/n0qVLDBo0KNc3ANkpX748CoWC/fv38/z5c1mF+Heh9Kjr6OiQlpaGunrWNyI6v19BU0ub27dvyy8XKSkpHD58mISEBM6fP8+zZ89kT36tWrXw9fUlNDSUUqVK8erVK4yNjblx4wZv374lKioKX19fUlNTSUlJwdfXl6ioKPmct7c3t16+sAAA1B5JREFUoaGhDB48WEwkFQgEAsEXxwdNJtXW1s5zEtvNmzcpUaLEX26U4L9LmTJlOHDgAOPHj6dGjRoUK1aM/v374+3tLZfx8vIiLi6Odu3aYWxszIwZM4o8ov748WMOHz7M1KlT5fSQWbNmMWnSJOLi4ihevLjKiHtqaiqBgYFMnDgxz/q6dOnCwoULmTp1KgsWLCApKYlu3bphaGjI2LFjOXz4cK5rihcvTsOGDSldujQ//fQTly9fLrBfpk2bxqRJk+jbty/u7u5s3ry5SM/8KXj69CkjR40mIyMddQ0NZs6YwfPnz1m0aBGQ9Yx//PFHvtdn72NJkujevTshISEMHTpUPm5hYSGbpFauXJnnOaFmFAgEAsGXyAfpGT09PXnx4gXbtm2jWLFiREZGoq6uTseOHXFxcZEVdQLBP4GAgABGjRrF+PHjWb16tRy4h4SE0LhxY44dO8bEiROJjo6mZs2a+Pv7y5NDp06dyu7duxk2bBizZs3i/v37ZGZmys515e96TqVkTj3jgwcPGDt2LEeOHEFNTU02yVhZWQFZBpuEhATq1q3LihUr0NbWLtTLyafSM0KWS/306dMqk0m9vLxYv349iYmJODo6MmvWLNLT09mxYwdnzpzh/v37vHv3DmNjY77//ntev36NiYkJxYsXx8HBAXV1dTIyMoiMjOTly5cUK1ZMPg4UeE4gEAgEgv8Kn1TPuHDhQr799ltKlizJu3fvcHV15cmTJ3z11Vfv1d8JBJ+LlStXUrduXXk5+wULFjBs2LBc5SZPnszChQspUaIEgwYNol+/fpw9e1Y+f/v2bXbs2MHOnTs/KGhMS0ujZcuWODs7c/r0aTQ0NJg5cyatWrUiMjJSTiE5fvw4RkZGHD16NN+6PqeeMT4+Pte/5zlz5sife/bsiZqaGlpaWvTo0YMePXoQFRXF0KFDefnyJSVLlqRly5a56lVXV89Xs1jQOYFAIBAIvjQ+KFA3Njbm6NGjnD17lqtXr5KUlISjo6OKCUIg+Lu5desWM2fO5Pnz52RmZjJp0qQ8rUSzZs3C1dUVgEmTJtG2bVuSk5PlidKpqals2rTpg9O6tm7dSmZmJuvWrZMnYPr7+2NiYkJISAgtWrQAshST69atkwP3vJgzZ857Fxz7XCi1ifkdEzpFgUAgEAj+GkWaTPru3Tv2798v7+/fv5/bt2/z5MkTDhw4wIQJE+Ql3gWCv5vFixfz6NEj/Pz8MDQ0xMfHJ09NZHabiIWFBYDsY4esiZ5/Ze7F1atXuX37NoaGhhgYGGBgYECxYsVITk7mzp07crnq1asXGKTD59czFkReqTnZjwmdokAgEAgEf40ijahv3LiR4OBgebnv5cuXY29vj66uLgA3btzAwsKC0aNHf/yWCgSfiOw2FuWId3Yfu76+/l+qPykpidq1axMUFJTrXPYXgMLcR6kx/DspVqwYb968ITAwkFmzZsm2nszMTAIDA9HW1pbzywUCgUAgEHw4RQrUg4KCmDBhgsqxn3/+GRsbGwACAwNZsWKFCNQF/3mePHnCqlWrCjVx2tHRka1bt1KyZMlP5j3/FFhaWjJnzhy8faaQkZ6GuoYmM2dM582bN8ycOZPQ0FBGjhwp6ykDAgJkJaZSp5iRkUFERARXrlzh2bNnFC9eHBMTE4oVKyaPuCckJKhMHM1rQikgJpkKBAKB4IujSIH67du3qV69uryvo6Mjj6ZB1hLt2dVqAkFOlCPW+eHr65un4/xTMnToUE6ePMnz588pXrw4kBUUKo0seVGiRIlCKwPd3d1ZsGABHTp0YPr06ZQtW5b79++zc+dOJkyYIC/09E9DR0cHZ2dnfg4KJDExkbS0NDQ1NTEzM2PQoEEEBgZy7do1xo4dK19jamrK6NGjcXFx4dSpUyxatEheUOp9mJub06hRI0JCQlTWYzAxMQFQqcfc3JwhQ4YIbaNAIBAI/tMUKVBPSEhQMU48f/5c5XxmZqbKeYEgJ9lXHN26dStTpkwhNjZWPmZgYCB/liSJjIyMPPPKPwbK+96+fZs1a9ZQpUoVLl26RPfu3Zk1axbffPNNntdlLQCkjp6eXqHuo6enx6lTp5g4cSKdO3fmzz//pEyZMjRt2vQfO8KenJxMfHw8lpaWlCpVCoCevXqTlqr671tDU5Nv2rdHX1+fmjVrUrNmTdLS0tiyZQurV6+Wy5UtW5aHDx9iYGCgspiTpaUlDx48wNPTk1OnTrFlyxYqV66Mj48P1tbW7Nq1Cz8/PwAGDBhAp06diIuLIygoCF9fX+FYFwgEAsF/miJNJi1btizXr1/P93xkZOQ/dnRQ8M/A3Nxc3oyNjVEoFPL+jRs3MDQ05ODBg9SuXRttbW3OnDmDh4eH7CNXMmrUKBo1aiTvZ2ZmMmfOHKytrdHV1aVGjRr8+uuvwP8c5dmRJIlly5ZRu3ZtQkNDadu2LRUqVKBbt25IkiQvYOTh4cHVq1fZunUrrq6u6OjoEBQUhIeHBwEBAXJ9yv0NGzZgaWmJvr4+R44cISMjg/nz51OzZk0OHjzIqFGj5Emka9euJTMzE09PT4KDg/ntt99o0qQJV69e/RRdXyTi4+MZOHAg8fHxAFkj6qkpJJdxBOCdtQvvbFxJT0ujVatW9O/fn9q1a6Ours69e/dYvXo1mpqaaGlp8dVXX5GWlkb9+vXZsWMHWlpastYxNTWVr776iv3795OQkICpqSmJiYlUqVIFbW1t9u3bh7OzM87Ozuzfvx9tbW3s7e2ZOXMmzs7OrFq1ioyMjL+zqwQCgUAg+GQUKVBv06YNU6ZMydPs8u7dO6ZNm0bbtm0/WuMEXyaTJk1i7ty5xMTEFHpC4pw5c9i0aROrV68mKiqK0aNH07NnT06ePJln+YiICKKiohg7dqxK+pYSZbpF9jaNHDmSmJiYPN3gAHfu3OHgwYMcOnSIX375hfXr19O2bVsePnzIyZMnmTdvHt7e3ly4cEG+xs3NjWfPnnHw4EEuX76Mo6MjTZs2zVdtmJKSwuvXr1W2T8n9+/e5efMm9+/fB0DSyvrGI1PXhEwdY5Uyyu3MmTNA1jcPqamp1KtXj6dPn+Lu7k50dDSpqalkZmaSmprKkydPcHJy4vHjxzx9+pT+/fvz5MkTIiMjiYyM5MmTJ/Ts2ZOePXvy+PFjIiMjAVBTU8Pd3V3lmEAgEAgE/zWKlFPwww8/sG3bNipXrsywYcOwtbUFslIIli9fTnp6Oj/88MMnaajgy2H69Ok0b9680OVTUlKYPXs2x44dw9nZGQAbGxvOnDnDmjVrZEd6dm7dugVAlSpVCnWPUaNG0blz5wLLZGZmsmHDBgwNDbGzs6Nx48bExsZy4MAB1NTUqFy5MvPmzePEiRPUq1ePM2fOEBYWxrNnz2STy48//sju3bv59ddfGThwYK57fG6PemEWMHtfGaWP3tramtDQ0Fzns1tslD+/7C8q+bnZlceFr10gEAgE/1WKFKiXKlWKc+fOMXjwYCZNmoQkSUDWBMHmzZuzcuVKOZ9VIPhQ6tSpU6Tyt2/f5u3bt7mC+9TU1HxXuVT+7n7MNllZWWFoaCjvlypVCnV1dZUR+1KlSsmOduViYWZmZir1vHv3TsWvnh0vLy/GjBkj779+/Zpy5coV6VmKwuTJkylfvjz379/PNyBXllFy6tQpAgMD5X3lN3BxcXF5utWzz2tRBvLZy+XnZlceF752gUAgEPxXKfIsPWtraw4dOsTLly+5ffs2ABUrVhR/LAUfjZw+cTU1tVyBdVpamvxZOTkxODiYMmXKqJTLzzmu/Dboxo0bhVqyvjCO8+w+dsh6gc3rmNLRnpSUhIWFBSEhIbnqypl6o+Rze9TLly8v9xWAIjWrr9XeJcD/G3xyllH61DU1NVEoFFy4cIFSpUrJE0C1tLRIT09HQ0ODYsWKERYWhoWFBZmZmaxfvx5zc3M55cnc3FwO+i0sLOTjmZmZBAUFqRwTCAQCgeC/RpFy1LNTrFgxnJyccHJyEkG64JNSokQJFVsMZOWYK7Gzs0NbW5tjx47RqVMnqlatyrhx46hYsWK+o801a9bEzs6OhQsXqixupKSwSsG/gqOjI0+ePEFDQ4OKFSuqbEpN5N+FpaUla9euxdLSEgBjY2M0tbTR+f0KALpxp9C9exJNLW2MjY1VrrWysmLQoEFyjvr58+fR1NTk3LlzdOnSRSVHXUNDg9DQUExMTEhOTubVq1doamoSHR1NSkoK7dq1IzQ0lNDQUNq1a0dKSgpRUVF4e3sTGhoq+9oFAoFAIPgv8mm8dwJBEfHw8GDjxo1AVmBetmxZ3NzcmD59Ok2aNGHBggVs2rQJZ2dnAgMDuX79ujwSbmhoyLhx45g7dy5169blxIkTZGRksGzZMoyMjOjTp0+u+ykUCvz9/WnWrBkNGzZk8uTJVKlShaSkJPbt28eRI0fynYj6sWjWrBnOzs507NiR+fPnY2try6NHjwgODqZTp05FTgH6mOjo6GBra8vTp09l88v0aVNV1IqgqtPMfm337t0pXbq07FF/+PAhQK7rlcdjYmLkYw8ePGD48OHyvqmpKZIk4efnJ6saLSwshJpRIBAIBP95RKAu+Mfg5OREWFgY4eHh3L59mz59+qBQKJg3bx4+Pj5MmDCB5ORk+vXrR+/evbl27Zp87YwZM1iyZAlxcXE0adIEExMTHB0dC5zc7OTkxKVLl5g1axYDBgzgjz/+wNzcnAYNGhRqxdG/ikKh4MCBA0yePJm+ffvy/PlzzM3NcXFx+dvneiQnJxMeHo7PFF/S01ILLKuppU3g5k252uzi4kKDBg1UViY1MTFBkiTi4+MJCwtDR0eH5ORkbG1tcXR05NChQyQkJGBmZsaLFy/o27cvPXv2BMTKpAKBQCD48lBIRZ1VJxB8ApSu8927d8vHunTpQlxcHFeuXCEzM5N58+axdu1anjx5gq2tLT4+Pnz77bfcu3dPxQwC4O/vj4eHB9evX2f8+PGcPn0afX19WrRoweLFi+XUkkaNGlGtWjU0NDQIDAykevXqnDhxolDXOTg4oKOjw7p169DS0mLQoEEqq6omJCQwceJEdu/eTWJiIhUrVmTu3Lm0a9cOgDNnzuDl5cWlS5coXrw4nTp1Ys6cOYXKh1fy+vVrjI2NSUxM/KiLJ928eVO2zryzcSVTxxi1dwnoxp3inbULmbomAKglJ6J79yRr165VyVN/X71qampZ6TSamlSsWJGZM2eipqZGeno6bm5uvH79mrp163L//n0CAwNFUC4QCASC/xSF/fv9wTnqAsGn5Pr165w7dw4tLS2gYE96uXLlePz4MUZGRixZsoTHjx/TrVs3EhISaNKkCbVq1eLSpUscOnSIp0+f0rVrV5V7bdy4ES0tLc6ePcvq1auLdJ2+vj4XLlxg/vz5TJ8+naNHjwJZkx1bt27N2bNnCQwMJDo6mrlz58oB5507d2jVqhVdunQhMjKSrVu3cubMGYYNG1Zgv3xujzpApo4xmfrF5eA8U9cka1+/eL4u9fw2pY89MzOT5s2b8+zZM9zd3WUzjoaGBv369SMjI4MyZcoIT7pAIBAIvmhE6ovgH8P+/fsxMDAgPT2dlJQU1NTUWL58eaE86ebm5igUCoyNjTE3Nwdg4cKF1KpVi9mzZ8v32LBhA+XKlePmzZvyCHClSpWYP3++XGbmzJmFus7BwQFfX1+5juXLl3P8+HGaN2/OsWPHCAsLIyYmRi5vY2Mj1zdnzhzc3d0ZNWqUfP3SpUtxdXVl1apVsns8J5/bo15YCuNbz4nS0JPz2xDlz1ipbRSedIFAIBB8qYhAXfCPoXHjxqxatYo3b96wePFiNDQ06NKlC1FRUUX2pEOWp/zEiRN5Tni8c+eOHEDXrl37g67LqQW0sLCQHekRERGULVs233SQq1evEhkZSVBQkHxMkiQyMzOJi4ujatWqeV73uT3qhSWnSz0/svvYf//9dyDLh25vby+XUbrUlRpKYZUSCAQCwZeKCNQFBRIQEMCoUaNkXeHUqVPZvXu3ih4xJ8qc8fDwcGrWrFnoe+nr61OxYkUgawS7Ro0arF+/nmrVqgEwadIkunfvrnJNQU7xpKQk2rdvz7x583Kds7CwULlv9ucs7HUFOdJ1dXULfNakpCS+//57RowYkeucUomYF5/Lo25pacnkyZOZNWsWasmJwP+707P9F5DP5XSpF1TvypUrGTZsGEePHqVkyZIEBQXJOeopKSmsXr0ayArYTU1NVYL4jIyMfCeV5jxnb29PVFRUvvtiQqpAIBAI/umIQP0/TnbtoaamJpaWlvTu3ZsffvgBDY2i//jHjRunos7LaxKoMmf8r7jA1dTU+OGHHxgzZgw3b94E4I8//pAD+Zw8f/6cd+/eMXbsWL7//ntMTU3R09MjPT0dKyur9z5rt27daNOmDZDlN9+xY0ehrssPBwcHHj58qJIqkx1HR0eio/+PvTOPqzn7//jrtt92EoUWUUkqkiVGWaImGmEUskRlkiV7mlDZl5J9C2UUxliyZUkiEinaSCURo0Iqou3ezu+Pfvfz7dO9LQyGcZ6Px324n8/nnPM5n8+9M70/577P8zxo8Hr+bWRkZGBsbAxJKWngMVtTyc2NZW1LSEiiqKiI+ZyUlJQatNbIyMigS5cucHBwwJEjRyAnJ4ebN29i0aJFkJGRQVxcHLO41YsXLwAADg4OzK8IO3bsQEFBAdOempoaPDw8RB4TFxcHn89vcFtQlyoeKRQKhfKtQieT/gDY2NggPz8f2dnZmD9/Pvz8/LBhw4ZPakteXl5oyfv6iIuLQ01N7ZODXAFjxoyBuLg4du/eDaB2lP3AgQPIycnB3bt3sXXrVuYhZPTo0eDz+XB1dUVWVhZOnz4NR0dHlJaWYty4cbhz5w5ycnJw8eJFTJkyhRWwAbUj4K1btwYAzJgxA2/evGlWvYawtLSEhYUFRo8ejaioKOTm5uL8+fO4cOECAMDLyws3b97EzJkzkZycjOzsbJw6darJyaRfkzZt2iDs4B9Ys2YNJOr9elAXHq8a3t7emDZtGqZNm4YJEyehsLCw0bbd3d0xduxYVFRUAAASExNx48YNJkhv0aIFnJ2dYWRkhJKSEixbtgzLli2Djo4Otm/fjsjISGzfvh06Ojrw9fVlHfPx8QGHw2Fm0Y8ePRoAoKioCA6HAx8fH1bd2NhY0Z2kUCgUCuXfhlD+00yePJmMGDGCtW/IkCGkT58+hBBC3rx5QyZOnEiUlZUJl8slNjY2JCsriykbEhJClJSUmG1fX19iYmLCvAfAesXExJDc3FwCgNy7d4+pl56eToYNG0YUFBSIvLw8+emnn8ijR48IIYQkJCQQdXV1IiUlRRQVFYmFhQVJSkoihBCyZs0aoqqqSgCQqVOnEn19fSIpKUlUVVWJtbU1uXbtGikuLiYAiJycHAkJCWFda1ZWFhk5ciRRVlYmMjIyRFlZmcjKyhJpaWliaGhIunbtSjw9PYWuMysri/Tu3ZuIi4sTAERSUpL06dOHVFVVEUIIsbS0JABIcHAwsbe3J1wul8jJyZGBAwcybRQVFRF7e3siKSlJABAxMTHSpUsX1nUbGBgQDodDABBpaWliZ2f3UZ9vaWkpAUBKS0s/ql5TlJeXk8zMTOZfS0tL0mvKMmI2PZD0cl5au+28lJhND2S9ek1ZRiwtLUlmZmazzlNZWUmOHDlCrK2tycCBA8mUKVNIYmIi4fF4hBBC+Hw+8fLyIpaWlmTo0KHM/RdQVVVFhg4dyhzj8XjE0dGReHt7k+rqarJ48WIyaNAgsnjxYlJdXU28vb3J2LFjCY/HI3w+n7VNoVAoFMrXorl/v+mI+g8Il8tFVVXtIjbOzs5ITEzE6dOnER8fD0IIbG1tUV1d3WQ7CxYsgIODAzNin5+fj759+wqV+/vvv2FhYQFpaWlcuXIFSUlJmDp1Kng8HgDg3bt3WL9+PVJSUnDr1i3o6urC1tYW7969w+LFi5kJmnZ2dnj48CGqqqrw8uVLXLhwARYWFpCXl4e8vDzc3Nwwbtw41rl1dXVx4sQJFBUVoVu3bmjXrh0iIiIYXeL69etFLm5UUFCAjIwM7Nu3Dzk5OTh37hwKCgoYE8zVq1cBAP7+/nBwcEBqaipcXFxw584dxlJSXl6O2NhY2NnZ4c6dO8jIyMCCBQuY687KykJJSQmOHTuGx48f49ChQ4iLi2N+JRDF19Iz5uXlYdq0abh+/fr/lIqNaRo/Udf45MkTyMrKoqKiAjU1NXBwcECPHj2Y3HExMTH07t2bufb09HRWP9PT01FZWckcS01NRUFBAZycnCAhIYFevXqBz+ejV69ekJCQgJOTE6N8FBMTY21TKBQKhfKtQXPUfyAIIYiOjsbFixcxa9YsZGdn4/Tp04iLi2MC7PDwcGhoaCAiIgJjxoxptD15eXlwuVxUVlYySkRRbN++HUpKSjhy5AgzAbNu3vagQYNY5ffs2QNlZWVcu3aNWRyoMSQkJBAaGgo3Nzfs2rULpqamsLS0xNixYxkzS1O6xPr4+/tj8eLFmDx5MlN2xYoVWLRoEaNkBGofdAQPB6tXr8aWLVuQkJAAGxubJq/b19cXgYGBGDVqFIBaTeGDBw+we/du5rz1+dp6xk/RLv6Tem3bthXaV3fybH1VY93tuu8FykdBXcG/gv2CsvW3KRQKhUL5lqCB+g+AwE9eXV2NmpoajB8/Hn5+foiOjoaEhAQzYgkAKioq0NfXR0ZGxmc7f3JyMvr37y9kSRFQWFiIJUuW4OrVq3j58iX4fD4+fPiAvLy8Zp9j9OjRGDZsGK5fv45bt27h/PnzWL9+Pfbu3QtnZ+cmdYn1SUlJQVxcHCvg5PP5qKiowIcPHyArKwuArWiUk5ODoqIiS9HY0HW/f/8eOTk5cHFxgZubG7Ofx+NBSUmpwX59bT2jj48PgI8PvJurawSAzMxMBAYGAqidQFpfeynwqQPCqsa623XfC5SPgrqCf3Nzc1ll629TKBQKhfItQQP1HwCBn1xKSgpt27b9x5M8P5amVIWTJ09GUVERNm/eDC0tLUhLS8Pc3JxJz2kuMjIyGDJkCIYMGYKlS5fC1dUVvr6+cHZ2brIP9SkrK4O/vz8z2l3/PAI+VdFYVlYGAAgODmY9KAFoVBn4tfSMApobbIuq19yHoo4dOyIkJARv3rxBZGQkhg4dyqxUWlNTg9u3bwOovXaBqlNA165dmfvRtWtXiImJQU1NDeHh4Vi+fDkSEhIgLi6OhIQE2NnZITw8HOrq6jA2NkZNTQ1rm0KhUCiUbw2ao/4DIPCTa2pqsoJ0AwMD8Hg8JhACgFOnTiE5ObnRAK2goIDxo0tJSTVpQjE2Nsb169cbzHuPi4vD7NmzYWtrC0NDQ0hLS+P169cfcYWi6dKlC96/f8/0QaBLdHZ2hr29faN1TU1NkZmZiU6dOgm9BEFkU4i6bm1tbWzatAlt2rRB27Zt8fjxY6H266/U+W+gqamJPXv2sJzuYhWlEHv/muVTF3v/mv36f696ffh8Pu7du4eoqCj8+eefCA4Oxr59+5CUlAQAjGIxNTUVnp6eSEpKQlJSEjw9PXHr1i0AtaPivr6+zAJY9+/fh6+vL6qqqphjDx8+xJQpU3Dz5k2MGDEC8fHxzL9jxoxBfHw8pk6diocPH2LJkiWIj4/H9OnTqU+dQqFQKN8kdET9O6WuH70u2dnZzXZz6+rqYsSIEXBzc8Pu3buhoKDApDgInOKiUFVVRXR0NIDawPPixYvIzMyEioqKyLSNmTNnYuvWrRg7diy8vb2hpKSEW7duoVevXtDX14euri4OHjwIMzMzvH37FgsXLvyoEfCioiKMGTMGU6dOhbGxMRQUFJCYmIj169djxIgRANi6RMGiRefPnweHw4GNjY1Qmz179sTmzZtx8OBByMjIoF27djAxMUGnTp2wcuVKODs7N9kvUdf9/v17JjXG398fs2fPhpKSEmxsbFBZWYnExEQUFxez0lv+DWRkZJgR8erqakhISILbhE9dgKSUNOt7EBsbK+Q4F3Dw4EEoKytj3rx5WL58OTZu3Ii0tDTMnz+fKdOiRQvMnTsXQK0rfcaMGcwxdXV1Jme//jHBQ9qJEycA1KYJEUKY77igLvWoUygUCuVbhQbq3zE2NjYICQlh7VNVVf2oNkJCQuDp6Ynhw4ejqqqKSS1oKJ8cqE3NELjU3dzccPXqVZiZmaGsrAwxMTHQ1tZmlVdRUcGVK1ewcOFCWFpaQlxcHN26dUO/fv0AAPv27cO0adNgamoKDQ0NrF69GgsWLGj2NcjLy6N3794ICgpCTk4OqquroaGhATc3N/z+++9MuePHj2PBggU4dOgQqqurkZ+fj7Vr1wq1t3//fgQHB2POnDm4du0aHjx4gKdPn6K0tBSDBw9udr9EXXdVVRUzeuvq6gpZWVls2LABCxcuhJycHIyMjDBnzpxmn+NLU1hYiDlz54HHa9gCJCEpiRXLlzPfiboLHsXGxsLX1xd6enpMoN6xY0dIS0vjwYMH0NTURF5eHpYtW4bly5fj+PHjSE5OZla+7datG7p168bcs379+jW4MmlNTQ38/f3RqVMn2NraYtCgQbhy5QoiIyPx6NEj+Pj4oEWLFnRlUgqFQqF8P3wNVyTl8yPKjy4gMDCQdO3alcjKypL27duT6dOnk3fv3jHHnzx5QoYPH844xbt06ULOnTtHCCEkJiaGACCXL18mPXr0IFwul5ibm5OHDx8y9eu61AmpdV37+/uTdu3aESkpKWJiYkLOnz/PHBd41Y8fP04GDBhAuFwuMTY2Jjdv3mz0Gpu6DoH7/MKFC6Rz585ETk6OWFtbkxcvXjBleDwemTt3LlFSUiItW7YkCxcuJJMmTWrw3hFCyIgRI4izs3ODxxvyxw8cOJDMmDGDVfbly5dEUlKSXL58mRBCiJaWFgkKCmKOFxcXExcXF9KqVSuioKBABg4cSJKTkxu9L3X50h711NRUxqEuyp/emDdd4DRfvHgxGTNmDLGysiILFy4kfD6fcZg7OjoSLy8vMnToUOLo6PjJPvO6/nQ+n886Rn3pFAqFQvnWoB71HxgxMTFs2bIF9+/fx4EDB3DlyhUsWrSIOT5jxgxUVlYiNjYWaWlpWLduHeTl5Vlt+Pj4IDAwEImJiZCQkMDUqVMbPN/mzZsRGBiIgIAApKamwtraGr/88guys7OF2lywYAGSk5Ohp6eHcePGMU7xT7kOAPjw4QMCAgJw8OBBxMbGIi8vjzUaHxgYiNDQUOzfvx83btzAmzdvcPLkyUbvn5qaGm7dusX4w+vTkD/e1dUVhw4dYllKwsLC0K5dOyEFpYAxY8bg5cuXOH/+PJKSkmBqaorBgwc3qAv82h71e/fuAfh/h7oof3oj3vTIyEgUFBRAW1sbL1++RHV1NQYNGgQxMTHGYV5QUIDevXujsrISBQUFn+wzr+tPrz+HgPrSKRQKhfK9QlNfvmME2kUBP//8M/766y9W6oS2tjZWrlwJd3d37NixA0BtEDZ69GgYGRkBEO0TX7VqFSwtLQEAixcvxrBhw1BRUcEynggICAiAl5cXxo4dCwBYt24dYmJisGnTJmzfvp0pt2DBAgwbNgxAbX62oaEhHj16hM6dO4u8vqauA6jNn961axc6duwIoDYvfPny5czxTZs2wdvbm7G37Nq1CxcvXhR5PgG+vr4YNWoUtLW1oaenB3Nzc9ja2uLXX3+FmJhYg/74UaNGYebMmTh16hQcHBwAAKGhoXB2dgaHwxE6z40bN5CQkICXL18y5pKAgABERETg2LFjmDZtmlCdr+1R379/f7PKNaZvPHz4MPO+rie9vusc+HSfeX0ven2oL51CoVAo3yN0RP07ZuDAgUw+b3JyMrZs2QKgdnGfwYMHo127dlBQUMDEiRNRVFSEDx8+AABmz56NlStXol+/fvD19RU5ylhXVyeYfCmYBFmXt2/f4sWLF0y+uYB+/foJudib26aApq4DAGRlZZkgXdCuoM3S0lLk5+ez9IcSEhIwMzNr8JyCNuLj45GWlgZPT0/weDxMnjwZNjY2jHpRFDIyMpg4cSIT3N69exfp6ekNTjxNSUlBWVkZVFRUmNVV5eXlkZubi5ycHJF1vL29UVpayryePXvW6LX8Uxr7JaUuPj4+2LNnD+slmBBad7XYFy9eMO8FDvPGPOnNpb4XvT7Ul06hUCiU7xEaqH/HCLSLgpe6ujqePHmC4cOHw9jYGMePH0dSUhIzqi3wkru6uuLx48eYOHEi0tLSYGZmhq1bt7LarjuZVDAa3FiQ2hw+ps3mXEf9NgXtEkL+UT8FdO3aFR4eHggLC0NUVBSioqJw7dq1Ruu4uroiKioKz58/R0hICAYNGtSg6rKsrAzq6uqsh63k5GRkZmZi4cKFIutIS0tDUVGR9fqSCB6oxCpKRWsZ/1/HKPCm133Z2tpCTU0NT548YSaanjt3DjU1NYzDXE1NDbdv34a0tDTU1NQ+2WdubGzM+NPrf6eoL51CoVAo3ys0UP+PkZSUhJqaGgQGBqJPnz7Q09NjjWIK0NDQgLu7O06cOIH58+cjODj4k86nqKiItm3bIi4ujrU/Li4OXbp0+aQ2geZfR2MoKSlBXV2d5Ynn8XiMu/tjEFyLQPnXkD/eyMgIZmZmCA4OxqFDhxodkTY1NUVBQQEkJCTQqVMnSEhIQFdXF2VlZWjVqtVH9/FzIvCo6+vrQ1JKGtzH1xgdIzc3FnIPTkPuwWlwH18T0jEKEBcXh4eHB27dusWMZKelpcHV1RUzZ87EzZs3wefzcevWLVRWVuL9+/cYP348PD09sWLFCgQHByMpKQl8Pp/xsEdHR+PevXtC915wrvj4eCxZsoTlWqe+dAqFQqF8r9Ac9f8YnTp1QnV1NbZu3Qo7OzvExcVh165drDJz5szBzz//DD09PRQXFyMmJgYGBgaffM6FCxfC19cXHTt2RLdu3RASEoLk5GSEh4d/0etoDp6enli7di10dXXRuXNnbNy4Ec+ePcOzZ89E5o0DQI8ePTBixAgMGjQI7du3R35+PlauXAlVVVWYm5sDEO2PF4zuCwJROTk5jBw5ssG+WVlZwdzcHPb29li/fj1kZWUBANu2bYO7u3uTKTpfkroe9bCDf6C0tHbkvKioiFlVVYC8vDyTilNXzQgAFhYW8Pf3Z80rePz4MfP+1atXzPt3797h3bt3KCwsZPaFh4dDVlYWUlJSKCkpYfarqanBw8OD5UCvey5RrnXqS6dQKBTK9wYN1P9jmJiYYOPGjVi3bh28vb1hYWGBNWvWYNKkSUwZPp+PGTNm4Pnz51BUVISNjQ2CgoI++ZyzZ89GaWkp5s+fj5cvX6JLly44ffo0dHV1v+h1NIf58+cjPz8fkydPhpiYGKZOnYoxY8bg7du3CA0NxZ9//olly5YhMzOTqXP58mUcPnwYO3fuxOvXr9GqVSv07dsX0dHRjfrjBwwYAKA2J3vOnDkYN26cyMm3AjgcDiIjI+Hj44MpU6YwufUvXrxgBbv/BhUVFcjLy4OmpibatGmDNm3aoLCwEDNmzkJ1VWWD9SSlpBF28A+hYF3gP3/9+jUSExObnNBblw8fPuDDhw9wc3PDyJEjkZubi/DwcPj6+goF4HXPRX3pFAqFQvne4ZDPldBLoXyHhIaGYs6cOcxo7dWrVzFw4EBERkZiyZIlSEtLw6VLl6ChoYF58+bh1q1beP/+PQwMDLBmzRpYWVkBAH7//XdER0fj9u3bePLkCTp27Ig7d+5gypQpGD16NJYtWwYA2Lt3LwIDA5GbmwttbW3Mnj0bHh4eAGrz8jt06IB79+6hW7duzer/27dvoaSkhNLS0s+ar56VlYVp06Zhz549zMi6YF+5jiVACLi5sSjvYMFoG8UqSsF9fI1Vpz58Ph9OTk54/fo1S80pJSUFDocDWVlZvH37lpXawuFwICkpCRUVFYSFhUFcXBw1NTVYsmQJcnNzmX0UCoVCoXwvNPfvNx1Rp1BEsHjxYgQEBEBHRwctWrTAs2fPYGtri1WrVkFaWhp//PEH7OzskJmZCU1NTTg5OWHNmjW4desWtm3bhj59+kBaWhqpqak4fvw4gNo0jmXLlmHbtm3o3r077t27Bzc3N8jJyWHy5MnN6ldlZSXLkvKlPOoC6rrkBe8F7nTgf071hurUJzMzk1mhtC6CCcKzZs1CQEAA6xghBFVVVYwHvXv37owbfcaMGcw+CoVCoVD+a9BAnUIRwfLlyzFkyBBmu2XLljAxMWG2V6xYgZMnT+L06dOYOXMmDA0N0bFjR5ibm0NPTw/Hjh1DeHg4evfujU6dOgGo9bMHBgYyTvcOHTrgwYMH2L17d7MD9a/tUW/Mj/456wgQzAFoiLoedOpGp1AoFMp/HRqoUygiqD+Rs6ysDH5+fjh37hzy8/PB4/FQXl6OvLw8psxvv/2G/fv3IyMjA4QQHD58GPPmzQNQa4vJycmBi4sL3NzcmDo8Hk+kMaUhvL29mTaB2hF1DQ2NT73MJvHx8WH0kk+fPm1WEF63Tn0yMzMRGBjYYN34+PhG267rQadudAqFQqH816GBehNoa2tjzpw5rFUy/ykDBgxAt27dsGnTps/W5tfEz88PERERSE5O/re7wuJTcrwbQk5ODsD/Pv+HDx8iKioKAQEB6NSpE7hcLn799VeW033cuHHw8vLC3bt3UV5ejmfPnsHR0REAGFNKcHAwawEmAB+VXy0tLc1ayfNLIdAzampqCk2IFasoBf5/aovArc7sx/+c6qLo2LEjwsPDG8xR37dvH8TFxRvMURd40KkbnUKhUCg/At9VoF5QUIA1a9bg3LlzeP78OZSUlNCpUydMmDABkydPZvR23zonTpwQWqjnv0RjAfPnekhxdnZGSUkJIiIimH0aGhrIz8//Ig7yuLg4ODs7Y9SoUTh58iSsrKzw5MkTVpn27dvD0tIS4eHhKC8vx5AhQ9C6dWsAQJs2bdC2bVs8fvwYTk5On71/nxuBnrGwsJD51aCoqAgSEpLgPv7fok8Ct7oACUkpPH/+HM+ePUPLli1haGiIlJQUXLx4EQUFBVBTU8OQIUNw8OBBVj3BA0/d/HsBghz1YcOGobKykrG+xMfHw9/fn04kpVAoFMp/lu8mUH/8+DH69esHZWVlrF69GkZGRpCWlkZaWhr27NmDdu3a4Zdffvmktvl8PjgcDsTEvs76T/Sn+k9H8FmJQlxcHGpqal/kvLq6ujhx4gSA2pSL8ePHi1xV1cnJCb6+vqiqqhJSXvr7+2P27NlQUlLCoEGDQAhBYmIiiouLWeks3wqFhYWYMHGSSB2jhKQkVixfzugqAeDu3bs4fvw4li9fzuyrv1Jsenr6R/dDTk4OkpKS2Lt3L/bu3QuAutEpFAqF8mPw3axM6uHhAQkJCSQmJsLBwQEGBgbQ0dHBiBEjcO7cOdjZ2TFlN27cCCMjI8jJyUFDQwMeHh6sRVpCQ0OhrKyM06dPo0uXLpCWlkZeXh5evnwJOzs7cLlcdOjQQeSCPSUlJXB1dYWqqioUFRUxaNAgpKSkMMf9/PzQrVs3HDx4ENra2lBSUsLYsWPx7t07psyAAQNYqTTa2tpYvXo1pk6dCgUFBSbtoC43b95Et27dICMjAzMzM0RERIDD4TSafnLw4EGYmZlBQUEBampqGD9+POPqBmpVhBwOB9HR0TAzM4OsrCz69u3LcooDwNq1a9GmTRsoKCjAxcUFFRUVDX9QH0lxcTEmTZqEFi1aQFZWFj///DOys7OZ46I+q6lTp+LAgQM4deoUOBwOOBwOrl69iidPngjdk/v372P48OFQVFSEgoIC+vfvj5ycHAC1n8OhQ4dY/VmyZInIfm7cuBEPHz4EAMybNw9nzpxhRoGdnZ1hb28PAPj1119RVFSEkpIS7N69m6k/YMAAJCcnw9LSEvPmzYOxsTEsLS2xfft2hIWFQV5ensmLLy4u/mc39TNQUVGB1NRUVFdVolzHEuUdagPi8g4WKNexBK+6GioqKtDT04Oenh4KCgqwe/du6OrqIigoCC4uLgDABOmqqqpwd3eHqqoq6zxDhw7FgAEDWOk1WlpaGDx4MJycnBAYGIjTp0/j+PHjCAoKwtKlSxEUFISwsDAapFMoFArlP893EagXFRXh0qVLmDFjBpM7XJ+6o6xiYmLYsmUL7t+/jwMHDuDKlStYtGgRq/yHDx+wbt067N27F/fv30fr1q3h7OyMZ8+eISYmBseOHcOOHTtYgS0AjBkzBi9fvsT58+eRlJQEU1NTDB48mGWeyMnJQUREBM6ePYuzZ8/i2rVrWLt2baPXGBgYCDMzM9y7dw8eHh6YPn06EzC/ffsWdnZ2MDIywt27d7FixQp4eXk1ed+qq6uxYsUKpKSkICIiAk+ePIGzs7NQOR8fHwQGBiIxMRESEhKsZe+PHj0KPz8/rF69GomJiVBXV2etMvlPcXZ2RmJiIk6fPo34+HgQQmBra4vq6mqmTP3PasuWLXBwcICNjQ3y8/ORn5+Pvn37CrX9999/w8LCAtLS0rhy5QqSkpIwdepUVm50ly5dWCtetmrVCpMnT4aysjKrLW1tbSYFJCQkBPn5+Xj27JlQCo+ysjIqKiowY8YMoZSMAwcOwMjICPfv30dGRgYeP36MvLw82NjYIDExEVFRURgyZAhWrFjxiXfz85GXl8dMHK2RUWJc6TVcZZaeEaj9lWPHjh0wNzfHypUrweVysW/fPgC1/10qKytDQkICo0aNEronKSkpWLp0KSIjI2Fubg5paWlUVlbi999/h5ubG3r06AFxcXGIi4uje/fuGDx4MLp3707TXSgUCoXyQ/BdpL48evQIhBDo6+uz9rdq1YoZ3Z0xYwbWrVsHAEKj1StXroS7uzsrwKyursaOHTsY5V5WVhbOnz+PhIQE9OzZEwCwb98+GBgYMHVu3LiBhIQEvHz5kpnQFxAQgIiICBw7dgzTpk0DUDvRLTQ0FAoKCgCAiRMnIjo6ulFjhq2tLbPwjZeXF4KCghATEwN9fX0cOnQIHA4HwcHBkJGRQZcuXfD333+z7CGiqBtw6+joYMuWLejZsyfKysogLy/PHFu1ahUsLS0B1PrDhw0bhoqKCsjIyGDTpk1wcXFhRkhXrlyJy5cvN2tUvW/fvkLpROXl5UzeenZ2Nk6fPo24uDgm0A4PD4eGhgYiIiIwZswYAMKfFQBwuVxUVlY2muqyfft2KCkp4ciRI8ycgIYmOTYHwWiwsrLyJ6XY6OrqYv369cz2ypUr0b17d6xevZrZt3//fmhoaCArK0tkX7+2R70xBL50gRvd2dkZjx49wo0bN5gyhBC4uLggMDAQp06dEnKoFxYWMh70CRMmID4+HgUFBdSNTqFQKBQKvpNAvSESEhJQU1MDJycnVvBy+fJlrFmzBg8fPsTbt2/B4/FQUVGBDx8+MBNOpaSkWLaIjIwMSEhIoEePHsy+zp07s0ZWU1JSUFZWxsrLBWqDT0E6BVD7cCAI0oHafNr6I/P1qdsXDocDNTU1pk5mZiaMjY1Z6QG9evVqtD0ASEpKgp+fH1JSUlBcXMzkVOfl5aFLly4iz62urg4AePnyJTQ1NZGRkQF3d3dWu+bm5oiJiWny/H/++SfrQQcAayKl4J7XtaCoqKhAX18fGRkZzL76n1VzSU5ORv/+/b+Zibt1v1tA7fcpJiaG9dAkICcnR2Sg/rU96o1R/8GzoV+NBG70Fy9eiDwu+DVK4EWvu49CoVAolB+Z7yJQ79SpEzgcjlDutI6ODoDa0VUBT548wfDhwzF9+nSsWrUKLVu2xI0bN+Di4oKqqiomUOdyuQ1OSmyIsrIyqKur4+rVq0LH6gb09QNDDocjcuJhXT6lTmO8f/8e1tbWsLa2Rnh4OFRVVZGXlwdra2uWUrD+uQX35J+cW4CGhgaz2I+Aup9Vc/mUz6o55xITE2NNdATASrlpLs1tp37aVllZGezs7JhfguoieGCqz9f2qDeGwJcucKMvXrwYOjo6iI2NRVhYGFNO4EZv27atyHYEk6sFXvS6+ygUCoVC+ZH5LnLUVVRUMGTIEGzbtg3v379vtGxSUhJqamoQGBiIPn36QE9Pr8GRvLp07twZPB4PSUlJzL7MzExW/rKpqSkKCgogISGBTp06sV5fQgkoQF9fH2lpaaxfDe7cudNonYcPH6KoqAhr165F//790blz5yZH9UVhYGCA27dvs/bdunXro9tpqG0ej8dqv6ioCJmZmawRf1FISUmxXNuiMDY2xokTJxq0AamqqiI/P5/Z5vP5Iq0kCQkJzIOYpKSk0HnrtwOgWY55U1NT3L9/H9ra2kLfp4bmYkhLS0NRUZH1+hJoamrCx8cHQK0fXeBLFysvEfKl29raQk1NDbGxsejUqRPGjRuHFi1aAADjRldXV8eIESOEUobatGkDY2Nj1NTUICwsDNLS0lBTU/sibnQ+n4979+4hOjoa9+7da/L7Q6FQKBTKv813EagDwI4dO8Dj8WBmZoY///wTGRkZyMzMRFhYGB4+fMhMLuvUqROqq6uxdetWPH78GAcPHsSuXbuabF9fXx82Njb47bffcPv2bSQlJcHV1ZU1KmtlZQVzc3PY29vj0qVLePLkCW7evAkfHx8kJiZ+sWsXqACnTZuGjIwMXLx4EQEBAQDQ4EizpqYmpKSkmPtw+vTpT5qk6Onpif379yMkJARZWVnw9fXF/fv3P7odZ2dncDgcXLt2DVu3bkWnTp1w+PBh2NnZwc3NDTdu3EBKSgomTJiAdu3aYcSIEY22p62tjdTUVGRmZuL169ciR7BnzpyJ6upqJCYmIjExEdnZ2Th48CDzy8ygQYNw7tw5nDt3Dg8fPsT06dNZD2YNnTc6OhoFBQWMnWXQoEFITEzEH3/8gezsbPj6+jZLQzhjxgy8efMG48aNw507d5CTk4OLFy9iypQp/3oQKSMjA2NjY0hKSYP7+BrjS+fmxoL7+BokJCRRVFSErKws5OTkwN7eHjdv3sTChQvx5MkTZr4FIQQlJSXg8Xg4fvy40HXZ2NggOTkZnp6eiI+PR2VlJTw8PD77ZNHY2Fg4OTlh7ty5WLFiBebOnQsnJyfExsY2XZlCoVAolH+J7yZQ79ixI+7duwcrKyt4e3vDxMQEZmZm2Lp1KxYsWMAEoSYmJti4cSPWrVuHrl27Ijw8HGvWrGnWOUJCQtC2bVtYWlpi1KhRmDZtGrNgDVAbFEdGRsLCwgJTpkyBnp4exo4di6dPn6JNmzZf5LoBQFFREWfOnEFycjK6desGHx8fLFu2DACEVo0UoKqqitDQUPz111/o0qUL1q5dywT3H4OjoyOWLl2KRYsWoUePHnj69CmmT5/+SddhY2MDc3NzTJ48GfPnz2dUlj169MDw4cNhbm4OQggiIyObzCt3c3ODvr4+zMzMoKqqiri4OKEyKioqsLa2Bo/Hg6WlJXr06IHg4GCm7alTp2Ly5MmYNGkSLC0toaOjg4EDBzZ63sDAQERFRUFDQ4OZ7Ghtbc3co549e+Ldu3eYNGlSk/ejbdu2iIuLA5/Px9ChQ2FkZIQ5c+ZAWVn5qzn9G6NNmzYIO/gH1qxZA4l6nwePVw1vb29MmzYN06ZNYx6Gk+7exYwZM5j8dcGD5KtXr7B79268evWK1c6BAwcwf/58pKWlQVlZGcuXL//s2sXY2Fj4+vpCR0cH27dvR2RkJLZv3w4dHR34+vrSYJ1CoVAo3ywcUj+5lvJdEB4ejilTpqC0tPST8r6/NqJWEh06dCjevXuHNWvWYNGiRbh//z4kJSVhaGiIQ4cOgRACHR0dJCQkMI5xANi0aROCgoKQm5sLMTEx3L9/H15eXoiNjQUhBN26dUNoaCg6duzInPenn35CYGAgqqqqMHbsWGzatIkJ2IuLi+Hp6YkzZ86gsrISlpaW2LJlC3R1dQHUutznzJnDGm3fuXMnAgIC8OzZM3To0AFLlizBxIkTmeMPHz6Eq6srEhMTGePOkCFDcPLkSdjb22PQoEHo0qULtm3bxtR59eoV2rVrh/Pnz2Pw4MHNuq9v376FkpISSktLP2saTEVFBfLy8qCpqYm8vDxMmzYN5TqWqJFRglh5Cbi5sSjvYMFoG4HaFBnu42uYN28e5OTkGlyZ1NraGvr6+oiJiWFSybp164Zu3bp99pF0Pp8PJycn6OjoYOXKlawHoJqaGixZsgS5ubkICwujykcKhUKhfDWa+/f7u5hMSgH++OMP6OjooF27dkhJSYGXlxccHBy+iyC9IbhcLoqKimBvbw83NzccPnwYVVVVSEhIAIfDgZaWFqysrBASEsIK1ENCQuDs7AwxMTHGlT5gwABcuXIFioqKiIuLY7nSY2JioK6ujpiYGDx69AiOjo7o1q0bo7d0dnZmVJGKiorw8vKCra0tHjx4IHJk/+TJk/D09MSmTZtgZWWFs2fPYsqUKWjfvj0GDhwIPp8Pe3t7aGpq4vbt23j37h3mz5/PasPV1RUzZ85EYGAgo/oMCwtDu3btMGjQoAbv2dfSMwqCc0GeOvD/PnW5/83FqOEqs7YFcLlcZoLrkydPoKSkBAcHB1aZ27dvIygoCHv27PlHysymSE1NRUFBAZYuXSr0K4WYmBicnJwwY8YMqoOkUCgUyjcJDdS/EwoKCrBs2TIUFBRAXV0dY8aMadTL/i1DCEF0dDQuXryIiRMn4u7duxg+fDg6duwIACylo6urK9zd3bFx40ZIS0vj7t27SEtLw6lTpwA0z5XeokULbNu2DeLi4ujcuTOGDRuG6OhouLm5NdvlXpeAgAA4Ozszedjz5s3DrVu3EBAQgIEDByIqKgo5OTm4evUqM3ly1apVGDJkCNPGqFGjMHPmTJw6dYoJYkNDQ5lc/ob42nrGT/mOfUvfS1Hqx7oI9lMdJIVCoVC+RWig/p2waNEiodVVvzfOnj0LeXl5VFdXo6amBuPHj8emTZvA4/FgbW2NIUOGwMrKCg4ODoye0N7eHjNmzMDJkycxduxYhIaGYuDAgdDW1gbQPFe6oaEhK61BXV0daWlpAJrvcq9LRkYGs7iVgH79+mHz5s0Aam1BGhoaLMNJfe+9jIwMJk6ciP3798PBwQF3795Feno6Tp8+3eg9/Np6RsGI+scE3wJtY2M8ffr0qwT0ddWPhoaGQscFSkiqg6RQKBTKtwgN1ClfjYEDB2Lnzp2QkpJC27ZtISFR+/ULCQnB7NmzceHCBfz5559YsmQJoqKi0KdPH0hJSWHSpEkICQnBqFGjcOjQISYgBprnZf/cjvrPhaurK7p164bnz58jJCQEgwYNajLAlZaWZlJlvgZ1+yPQMtZVNdalvrbxW8DY2BhqamoIDw8XmaMeHh4OdXX1L6KDpFAoFArln/LvqyUoPwxycnLo1KkTNDU1mSBdQPfu3RmLSHl5OQ4dOsQcc3V1xeXLlxlF54ULF2Bvbw+gNhA7evQoZs+e/Ul9+hSXu4GBgZBlJi4ujimvr6+P3Nxclg5TlPfeyMgIZmZmCA4OxqFDhzB16tRPuoYvgaamJvbs2QNNTU0oKSkxmka5B6dZqka5B6eZF/fxNUhKSUNJSanZ7bdr165Bt/nn8J6Li4vDw8MD8fHxWLJkCe7fv48PHz7g/v37WLJkCeLj4zF9+nQ6kZRCoVAo3yR0RJ3y1XF2dsaBAwcA1I52y8nJ4ddff8XixYuRnp6OmpoaVp66gYEB+vTpAy8vL0ydOhVr165lVgKdOXMmVq5cicjISEyaNAlKSkq4desWevXqBX19/Sb7oqurixEjRsDNzQ27d++GgoICFi9e3KjLfeHChXBwcED37t1hZWWFM2fO4MSJE7h8+TIAYMiQIZCQkEB4eDhGjBiBd+/eYcmSJQCEvfeCSaVycnIYOXLkx9/ML4SMjAwzKi4jI4NNQRsbXThMXl4eKioqUFJSapaqVEZGhjXvQoCamhqT+79jxw6Rxz5W32hhYQF/f3/s2LEDM2bMYParq6vD39//s+sgKRQKhUL5XNBAnfKvYGNjg5CQEDx//hyurq7Yu3cvQkJCoKysDCkpKfz222+s8i4uLrh58yamTp3KGrFVUVFBt27d8PLlS1haWkJcXBzdunVDv379mt2XkJAQeHp6Yvjw4aiqqoKFhUWjLnd7e3ts3rwZAQEB8PT0RIcOHRASEoIBAwYAqB3Fbd26NaqqqtCzZ0/o6Ohgw4YNsLOzE/Lejxs3DnPmzMG4ceMadOL/G9TVM5aWlmLO3HmorqpssLyklDTCDv7BBOl164u6LoHb3NzcHEuXLkWHDh2Qm5uL8PBw+Pr6ghCCvn37ijz2KcG1hYUF+vXrh9TUVLx58wYtW7aEsbExHUmnUCgUyjcNTX2hfBVCQ0NZDnXBUvFmZmZITk7GkCFD0LNnTwQEBEBGRgZRUVEwMDCAvLw8bGxs8PDhQxgZGaFnz55wdnZmUl8AMKPR79+/x9u3b3Hq1Cn4+fmhRYsWOHr0KCorK5Gdnc2Unzt3LhQUFNCiRQvIycnhp59+wtixY1FSUoIPHz7A29sbTk5OkJaWhrq6Oh4+fIjXr18z9QcMGID79+/j559/ZhSTWVlZqLskgaSkJFxdXeHk5ITnz5/DxcUFQO3KuUDtaqYzZ87E69evUVFRARcXF7x69QpSUlKIjo7+Qp9C8xHoGfPy8lBaWorqqkqU61jifZdfUN6hNkgu72BRu61jieqqSpSWloqsXx8+n48dO3bA3NwcK1euhKGhIWRlZWFoaAh/f39ISUlBWloa/v7+rGMrV66Eubk5du7c+clpMN27d8fgwYPRvXt3GqRTKBQK5ZuHBuqUbwIul4uqqioAwIcPHxAQEICDBw/iwoULyM7OxpYtWzBr1qxmteXs7IzExEScPn0a8fHxIITA1tYW1dXVAIAZM2agsrISsbGxSEtLw7p16yAvLw8A+Pvvv2Fra4uePXsiJSUFO3fuxL59+7By5UrWOQ4cOAAJCQkkJCRg8+bN2LhxI/bu3csc//DhA9auXYsOHTqwFjUS+N2dnZ0RHh4Ob29v9OnTB6amps32qL99+5b1+pI8ffoUT58+BfA/j7pgkSOBR71GRokpm5WVhaysLKaOKARucycnJyG3eXp6OuOKT09PZx0TeM/z8/ORmpr6Ga+SQqFQKJRvE5r6QvlXqetUFwTi1dXV2LVrF7Oy6NOnTyEpKdmsyZbN8aLn5eVh9OjRMDIyAgDo6Ogw9Xfs2AENDQ1s27YNHA4HnTt3xosXL+Dl5YVly5YxgaWGhgaCgoLA4XCgr6+PtLQ0BAUFMYsoCUbXV61ahVatWsHGxgbnz59HTEwM9PX1oaamhpKSEly7dg0XL14E8P171JtbtjG3eV2fuSi3OfWeUygUCuVHgo6oU/4VBE51GRkZ/Pzzz3B0dISfnx8AQFZWlln8KDQ0FH/99RcqKyublarQHC/67NmzsXLlSvTr1w++vr6s0dmMjAyYm5uzguV+/fqhrKwMz58/Z/b16dOHVcbc3BzZ2dlMSoacnByWLl2KiooKPH/+HAcOHIC6ujpevnwJABg6dChmz54NY2NjGBkZMR51Z2fnRq/P29sbpaWlzOvZs2dN3pN/go+PD2t10qbK7tmzB3v27Gm0Tl23eUPH6r8XQL3nFAqFQvmRoIE6pUEGDBiAOXPmfJG2Bw4ciOTkZGRnZ6O8vBwHDhyAnJwcAGHv+dKlS1n53/8UV1dXPH78GBMnTkRaWhrMzMywdevWz9a+gKb87a6uroiKivpoj7qioiLr9SUQ6BP79+/P9EmsohRi71+zPOpi718L+dP19PTQv39/Ru9Yn7pu8/o++65duzKu+K5du7KOUe85hUKhUH40fshAXZBesHbtWtb+iIiIRtMORPElg9lvndDQUHA4HKFXc+wljTnV6+Pl5dXsPjXXi66hoQF3d3ecOHEC8+fPR3BwMFNfkNcuIC4uDgoKCmjfvj2zr277AHDr1i3o6up+1ATFuh71kJAQ3Lx5s9l1vzQCPaOMjEyTHnVR/vS69QG2Ez01NRXu7u4i3ea+vr6oqqpCZWUlfH19qfecQqFQKD80P2yOuoyMDNatW4fffvsNLVq0+Le7g6qqKkhJSf3b3fhoFBUVkZmZydr3sQ87TaGgoNDo8bqjss3xos+ZMwc///wz9PT0UFxcjJiYGMbb7uHhgU2bNmHWrFmYOXMmMjMz4evri3nz5rEmPubl5WHevHn47bffcPfuXWzduhWBgYEffW0Cj7qEhESDOsh/mzZt2oj0qAvc6QAa9afHxsaKdKI7Ojri6tWrIt3mAKj3nEKhUCgU8gMyefJkMnz4cNK5c2eycOFCZv/JkydJ3Vvy+vVrMnbsWNK2bVvC5XJJ165dyaFDh1jtAGC9cnNzSUhICFFSUmKds37bvr6+xMTEhAQHBxNtbW3C4XAIIYQUFxcTFxcX0qpVK6KgoEAGDhxIkpOTG72eRYsWEV1dXcLlckmHDh3IkiVLSFVVldC5/vjjD6KlpUUUFRWJo6Mjefv2LVOmrKyMTJw4kcjJyRE1NTUSEBBALC0tiaenZ4PnFXWd9bG0tCSzZs0iCxcuJC1atCBt2rQhJiYmZMSIEYQQQsaNG0ccHBxYbSoqKhIVFRVy4MABQgghhoaGrHsnJydHOnfuTCZOnEgUFBRImzZtiKenJzl27Bjp0qULkZKSInJyckRGRoZwuVxibW1NsrKyiJaWFlm1ahUxMDAgHA6HACDy8vJk4sSJ5PXr1yQ3N5cAIL6+vkReXp4AIBISEsTNzY3cvHmT9OjRg8jJyZEWLVqQKVOmEHd3d6KoqEhatGhBbG1tSefOnYm0tDTR19cnLVu2JEFBQYQQwrSrpaVFtLW1CZfLJcbGxuTmzZvk3bt3RFpaWuh75Ovr2+h9FVBaWkoAkNLS0maVby7l5eUkMzOTlJeXk4KCAmI1ZCixtLRkvayGDCUFBQWN1o+KiiIDBgwg3t7eJD09nbx//56kp6cTb29vMmDAABITE0Pu3r1LLl++TO7evUt4PB7TBo/Ha/AYhUKhUCjfM839+/1Dpr4AtU7l1atXY+vWraxJgnWpqKhAjx49cO7cOaSnp2PatGmYOHEiEhISAACbN2+Gubk53NzckJ+fj/z8fGhoaDS7D48ePcLx48dx4sQJJCcnAwDGjBmDly9f4vz580hKSoKpqSkGDx7cqOVCQUEBoaGhePDgATZv3ozg4GAEBQWxyuTk5CAiIgJnz57F2bNnce3aNVbqz8KFC3Ht2jWcOnUKly5dwtWrV3H37t1mX0tjCPLPb9++jfXr1yM1NZUZKXVycsKZM2dQVlYG4H/awg8fPjArdbZq1Qqenp5Me61atcKLFy9gYmKCe/fuIS4uDhMnToSDgwPGjh2LtLQ0xtqyY8cOXLhwAbq6ugCAwMBAzJw5E1lZWVizZg0+fPgAHx8fZmQYAP78808cO3YMDx48gJmZGe7evYvff/8dmzdvxvXr11FRUYHExETs3LkTpaWl2Lp1K+7du4dVq1YhIyMDq1evBgChX2q4XC62bduG5ORk6OnpYdy4cSgoKEBVVRXmz58PRUVF5nu0YMGCz3LvPxVRHvWKdqYAav3potzpourv3LlTpC9d4ETfvXs3jI2NRbrNqfecQqFQKD88X+nB4Zti8uTJzIhunz59yNSpUwkhwqPeohg2bBiZP38+sy1q1Lm5I+qSkpLk5cuXzL7r168TRUVFUlFRwarbsWNHsnv37uZeHtmwYQPp0aMH61yysrKsEfSFCxeS3r17E0IIeffuHZGSkiJHjx5ljhcVFREul9vkiDoAIicnx3rZ2NgwZSwtLclPP/3EqtezZ0/i5eVFCCGkurqatGrVivzxxx/M8XHjxhFHR0dWG3X7oaWlRezt7Vltjh8/ngwZMoS1b+HChaRLly6sehMmTGC2a2pqSOvWrcnOnTsJIf8b+d67dy9T5vDhwwQAiY6OZvZ16NCBtGjRgtnu2LEj65cWQghZsWIFMTc3b7Dd5ORkAoAMHz6c9O3bt1m/ThBCSEVFBSktLWVez549+yIj6pmZmcTS0pJcunSJXLp0iVhaWpJezkuJpaUlMZseSMymBzLHMzMzhV6COpaWliQ9PV3kOdLT04mlpSW5e/fuZ+07hUKhUCjfOs0dUf9hc9QFrFu3DoMGDRI5gsnn87F69WocPXoUf//9NzPJTVZW9rOcW0tLC6qqqsx2SkoKysrKWKO7AFBeXo6cnJwG2/nzzz+xZcsW5OTkoKysDDweT8gGoq2tzcr1rqsKzMnJQVVVFUtp2LJlS+jr6zd5DQoKCkIj71wul7Vd39BR99wSEhJwcHBAeHg4Jk6ciPfv3+PUqVM4cuRIo+c1MzNjbWdkZDA56AL69euHTZs2gc/nM6OxdfvC4XCgpqbG9EVUfwV51wLnOgBISUnhw4cPAID3798jJycHLi4ujEMdqF3YqO7kyvrtClbsTE5ORmRkJJKSkhq9XgHfmke9Oe50Ub70uvupE51CoVAoFNH88IG6hYUFrK2t4e3tLeSw3rBhAzZv3oxNmzbByMgIcnJymDNnDrOCZkOIiYkJ6QQFq2LWRaAjFFBWVgZ1dXVcvXpVqKyysrLIc8XHx8PJyQn+/v6wtraGkpISjhw5IjSxsSlV4KciJiaGTp06NVqmqXM7OTnB0tISL1++RFRUFLhcLmxsbBpts/69ay7NuQ91ywgmxtbdt3jxYsb0I0jZCQ4OZj3oABBK1ajbRv/+/QEABw8ehJGRUbMDdW9vb8ybN4/Zfvv27UelW30sAh96QwG5j4+PSKXk06dPmTq5ubkwNDQUKkOd6BQKhUKhNM4PGagXFBTg4sWLKCkpgbKyMtauXYtu3boJjSDHxcVhxIgRmDBhAoBau0hWVhZL8yclJcUsciNAVVUV7969w/v375mAUpCDLiA0NBTv379n7TM1NUVBQQEkJCSgra3drGu5efMmtLS0WAvMNLZ8+5MnT9ChQwfWLwgdO3aEpKQkbt++zXivi4uLkZWVBUtLy2b1A6jNLy8pKUFERESz6wBA3759oaGhgT///BPHjx9HUVER7t+/j27dujW7DQMDA8TFxbH2xcXFQU9P74vmNgsWUbp//z6cnJwQGhqKOXPmoKSk5KPaEfU9EoXAMf6lEXjUNTU1mdF/TlXtQ4lYeQnw/w8wAne6qPo7duzA77//jtWrV6Nz587gcDho3bo1FBUV8e7dO8TExEBeXh4vX75kHlQE/00CtSPtgu1WrVrB2NiY5qlTKBQK5YfiuwvUCwoKsGrVKpw7dw5///03WrdujW7dumHOnDkYPHjwJ7WZlJQEcXFxbNmyhbVfV1cXx44dw82bN9GiRQts3LgRhYWFrEBdW1sbt2/fxpMnTyAvL4+WLVuid+/ekJWVxe+//47Zs2fj9u3bCA0NbbIfVlZWMDc3h729PdavXw89PT28ePEC586dw8iRI4XSPQR9zMvLw5EjR9CzZ0+cO3cOJ0+e/Kjrl5eXh4uLCxYuXAgVFRV4eXkhMTERQO2E2c2bNwMAfvvtN+zatYsJ9v39/UEIYbR75eXlqKioQEFBAVq3bs3SGTbF+PHjsWvXLmRmZiIiIkJosZummD9/Pnr27IkVK1agZcuW2LhxIx4/fgwZGRkYGhpiyJAhTFk/Pz9EREQIPTz9E4KCgqCmpoYBAwYgIiICISEhKC4uZo1+N4a2tjbKysoQHR0NExMTyMrKfrYUq09B4EEvLCxEUVERJCQkIfN3bYqTwKNe351el4SEBGzcuBElJSUoKSnB33//3eC51qxZ06w+qampwcPDg+oZKRQKhfLD8F1ZX548eYIePXrgypUr2LBhA9LS0nDhwgUMHDiQ5Vv+FGRkZIRSIJYsWQJTU1NYW1tjwIABUFNTg729PavMggULIC4uji5dukBVVRU5OTlo2bIlwsLCEBkZCSMjIxw+fBh+fn5N9oHD4SAyMhIWFhaYMmUK9PT0MHbsWDx9+rRBR/Uvv/yCuXPnYubMmejWrRtu3ryJpUuXfvT1b9iwAf3794ednR1SUlLQq1cvmJubw9XVlTGRrF+/Xqje27dvoa6uDnV1dRw9ehQXL15k5aA3FycnJzx48ADt27fHL7/80uQiSPUxNTXF0aNHsXfvXsycORNv3rzBwoULkZKSglWrVolMPfqcbNmyBSEhIejZsydGjRqF0NDQBnOzRdG3b1+4u7vD0dERqqqqIu/116awsBATJk6Ct7c3eDz2/ZOQlMSmoI0iv5exsbHw9fVl/arQ0ENb3ZSuVq1asf4Far/fgpQiJSUl+Pr6IjY29lMviUKhUCiU74uvMrX1M/Hzzz+Tdu3akbKyMqFjxcXFhJD/GTbu3bvHOgaAxMTEEEIIiYmJIQBIcXEx8x4iHNYAyMmTJ1nnUVJSIiEhIaxzHTlyhFhYWBBpaWkSEhLSpH+dENG2mLo8evSI/PLLL6R169ZETk6OmJmZkaioKFYZgRd8ypQpRF5enmhoaAjZYW7fvk26detGpKWlSY8ePciJEyeE7k99mupb/ftlaWlJCPmfTWfDhg1ETU2NtGzZknh4eLCc7k31WdTnl56eToYNG0YUFBSIvLw8+emnn8ijR49E9s3T05MMGDCgwb4LTDV1XyEhIc363hBCyLlz54iuri6RkZEhAwYMYNoTfP9E2VsiIiJI9+7dibS0NOnQoQPx8/Mj1dXVhJBa84yvry/R0NAgUlJSRF1dncyaNavB/tfnS3rUGdvLlGWM8aWX81LSa8oyYmlpSTIzM4XqlZWVkVGjRpEhQ4YwLy8vL+Lg4ECsrKyIjY0NsbS0JAMGDCBDhgwhAwYMIPb29mTo0KHM+0GDBhEvLy+yePFiMnbsWFJVVUW8vb2Jo6Mjs4861SkUCoXyPfOf86i/efMGFy5cwIwZM0ROJGxosmVT9O3bF5s2bfpHDuvFixfD09MTGRkZsLa2btK/3hzKyspga2uL6Oho3Lt3DzY2NrCzs2PyhQUEBgbCzMwM9+7dg4eHB6ZPn86sFFpWVobhw4ejS5cuSEpKgp+f32fxcwuu4/Lly8jPz8eJEyeYYzExMcjJyUFMTAwOHDiA0NBQobSfxvpcn7///hsWFhaQlpbGlStXkJSUhKlTp4LH44ksr6amhvv37yM9PV3kcUdHR8yfPx+GhobM5+3o6Nis63727BlGjRoFOzs7JCcnw9XVFYsXL260zvXr1zFp0iR4enriwYMH2L17N0JDQ5mJlsePH0dQUBB2796N7OxsREREsAwz9amsrMTbt29Zry9BXl4e08caGSXUcJVr33OVUSNTm+7y9OlTZGVlsV6HDx9GUVERqqqqmFfv3r1RWFiI6upq2NnZAQAIIaiqqgIhBEOGDEFlZSUIITAxMQGfz0fv3r0xYcIE5OfnIz09HU5OTigoKECvXr2Qn5+P1NTUL3LdFAqFQqF8S3w3OeqPHj0CIQSdO3f+rO1KSUlBSUmJUfV9CnPmzMGoUaNY++oGxLNmzcLFixdx9OhR9OrVq1ltmpiYwMTEhNlesWIFTp48idOnT2PmzJnMfltbW3h4eAAAvLy8EBQUhJiYGOjr6+PQoUOoqanBvn37mFzt58+fY/r06U2ef8eOHdi7dy9r3+7du+Hk5MQoJVVUVITuWYsWLbBt2zaIi4ujc+fOGDZsGKKjo1nqwsb6XJ/t27czJhuBNUXU5EUBs2bNwvXr12FkZAQtLS306dMHQ4cOhZOTE6SlpcHlciEvLw8JCYmP/rx37tyJjh07MkYdfX19pKWlYd26dQ3W8ff3x+LFizF58mQAgI6ODlasWIFFixbB19cXeXl5UFNTg5WVFSQlJaGpqdnod+Rr6xkbozlqRgCsya/q6upCx+vuk5GRYerU1Team5uz2qJKRwqFQqH8CHw3gTqppzv8lqg/yfNz+NfLysrg5+eHc+fOIT8/HzweD+Xl5UIj6o15wTMyMmBsbMwEPwCYgKcpnJycWCYZAA3mydfF0NCQZeZQV1dHWlpas/tcn+TkZPTv319Iq9gQcnJyOHfuHDOqf+vWLcyfPx+bN29GfHz8P5qgmZGRIaRgbOp+pqSkIC4ujhXU8vl8VFRU4MOHDxgzZgw2bdoEHR0d2NjYwNbWFnZ2dg3m6H9tPWNjiFIzxsbGIiwsjLWvsrKSeZ+fny/UTt19FRUVTJ26+kbBe0FbVOlIoVAolB+B7yZQ19XVBYfDwcOHDxstJ5i0Vjew/9SJhBwO55N86J/qX6/LggULEBUVhYCAAHTq1AlcLhe//vqrUBtfyo+upKTUpB9dFB/rKW+ojID6iyc1l44dO6Jjx45wdXWFj48P9PT08Oeff2LKlCkiy3/O701dysrK4O/vL/SLC1A7eqyhoYHMzExcvnwZUVFR8PDwwIYNG3Dt2jWRDydfS89YF7GKUuD/70tTasaamhqEhYVBUlKScdDfvn0bampqePPmDS5dugSg9jOXlJREdXU1oqKiIC0tjaqqKqSkpEBcXBy3b99GQkIC1NXV0bVrV/j6+kJNTY3ZV38RLQqFQqFQ/ot8NznqLVu2hLW1NbZv3y7kHwfAGCYEaRl1R+ma0vA15LBWVVVltZOdnc2sSNkYdf3rJiYm0NHRQVZWVpP16rfh7OyMkSNHwsjICGpqanjy5MlHtWFgYIDU1FRmlBIAbt261ay6z58/B4fDEekDl5KSAoAmvd/Ozs44c+ZM8zssAmNjY1y/fv0fBc3a2tqQlZVlvjcNue+Bxr83BgYGQvMMGrqfV69eBYfDgbGxMTIzM9GpUyehl+DhgMvlws7ODlu2bMHVq1cRHx8v9CvE10ZTUxNr1qyBhKQUuI+vMUpGbm4suI+vNahm1NbWhru7O6qrq5kc9Vu3bjHvBd8nQY66oqIiiouLUVlZCRUVFRQXF6NFixa4desW4uPj0bNnTyxZsgQ3b96EkpISbt26henTp1OfOoVCoVB+CL6bEXWgNl+5X79+6NWrF5YvXw5jY2PweDxERUVh586dyMjIAJfLRZ8+fbB27Vp06NABL1++xJIlSxpttyGH9aBBg7Bt2zaYm5uDz+fDy8urWSkY9f3rXl5eyM7O/qiJfzweD6tXr4adnR04HA6WLl360SPl48ePh4+PD9zc3ODt7Y0nT54gICCgWXUFwX1hYSHzXlpaGi1atEDr1q3B5XJhZWXFBF6ysrKQkZGBjo7OR/WxKVRUVPDkyROMHTsW3t7eTLDWq1cvkTntfn5++PDhA2xtbaGlpYWSkhJs2bIF1dXVjEtdW1sbubm5SE5ORvv27aGgoNCs7427uzsCAwOxcOFCuLq6IikpqUk//qJFizB27Fhoamri119/hZiYGFJSUpCeno6VK1ciNDSUmTwpKyuLsLAwcLlckat9fk1kZGRgbm6O8LCDePz4MbMCqwB5efkG65WUlEBMTIz1fW0op7y0tJR5//r1a9a/AHD69Gnm/du3b+Hv70896hQKhUL5YfiuAnUdHR3cvXsXq1atwvz585Gfnw9VVVX06NEDO3fuZMrt378fLi4u6NGjB/T19bF+/XoMHTq0wXbrOqyLiorg6+sLPz8/BAYGYsqUKejfvz/atm2LzZs3N2up9yVLluDx48ewtraGrKws2rZtCwMDA2RlZeHFixdo27Ztg3UJIeDz+bC2tsa+ffvQt29ftGrVCl5eXh9t+JCXl8eZM2fg7u6O7t27o0uXLli3bh1Gjx7dZN1z584BAGvyrrW1NS5cuAAJCQls2bIF7u7u4HA46NOnD0JDQ2FnZ4fExETcvHkTffv2/ai+NnYN8vLyKCsrg6WlJcTFxdGtWzf069dPZHlLS0ts374dkyZNQmFhIVq0aIHu3bvj0qVLTGA/evRonDhxAgMHDkRJSQlCQkLg7OyMXbt2Yfr06Q1+bzQ1NXH8+HHMnTsXW7duRa9evbB69WpMnTq1wf4PHjwYZ8+exfLly7Fu3TpISkqic+fOcHV1BQBmZdx58+aBz+fDyMgIZ86cgYqKyme5f59KRUUF8vLyICMjg2W+fqiuqhQqIykljbCDf7DmLmzbtg3Hjh2DsrIypk6dimfPnuGvv/5ijmtoaKBbt264desWXr16BaD28xB8X+jKpBQKhUKh1OGLSiIp5N27d0ReXp48fPiQODo6klWrVrGOCzzukZGRxNTUlEhKSjbo+hZFQkICsbKyIioqKkRRUZFYWFiQpKQkVhkAJDg4mNjb2xMul0s6depETp06xSrTlB9cFFpaWiQoKIjZrq6uJrKysmTx4sWEkOZ51d+8eUMmTpxIlJWVCZfLJTY2NiQrK4t1b+q+BI77xuoJ2LNnD2nfvj3hcrnE3t6eBAYGshznvr6+xMTEhAQHBxNtbW3C4XAIIYScP3+e9OvXjygpKZGWLVuSYcOGsbztAuf64cOHibm5OZGWliaGhobk6tWrQp/r5cuXSY8ePQiXyyXm5ubk4cOHTBscDofcuXOH1eegoCCiqalJ+Hx+g/e9Ll/Ko56ZmUksLS0/yqVeWVlJBg4cSCwtLcn9+/cJj8cjDg4OZOjQoWTRokWMI72yspLw+XyyePFiMnToUOpFp1AoFMoPx3/Oo/69cvToUXTu3Bn6+vqYMGEC9u/fL9Jgs3jxYqxduxYZGRkYMmRIs13f7969w+TJk3Hjxg3cunULurq6sLW1xbt371jl/P394eDggNTUVNja2sLJyYlJR/gUP7goJCQkICkpyZrw2pRX3dnZGYmJiTh9+jTi4+NBCIGtrS2qq6sbddw3Vg+ozfF3d3eHp6cnkpOTMWTIEJE6wUePHuH48eM4ceIEk5P+/v17zJs3D4mJiYiOjoaYmBhGjhwplHq0cOFCzJ8/H/fu3YO5uTns7OxQVFTEKuPj44PAwEAkJiZCQkKCGX3X1taGlZUVQkJCWOUFo/sNreT5tTzqAgQ5+81xqe/du5e5RxISEkhNTUVhYSEqKysxadIkTJ06FXw+H6dOnYKYmBgmTJiAyspK6kWnUCgUCqUhvsZTw49M3759yaZNmwghtSPOrVq1Yq10KRh5jYiIYNUTjPZ+LHw+nygoKJAzZ84w+wCQJUuWMNtlZWUEADl//jwhhBBvb2/SpUsXVjteXl4fNaJeWVlJVq9eTQCQs2fPEkJqR9S1tLRYo6Vjxowhjo6OhBBCsrKyCAASFxfHHH/9+jXhcrnk6NGjhBDRK302p56joyMZNmwYq56Tk5PQiLqkpCR5+fJlg9dICCGvXr0iAEhaWhoh5H8j6mvXrmXKVFdXk/bt25N169YRQtgj6gLOnTtHAJDy8nJCCCF//vknadGiBamoqCCEEJKUlEQ4HA7Jzc1tsC++vr5CvzLgC46oC15m0wOJ2fRAofcNvTIzM8nly5eZ7ffv35NXr14RS0tL5r+H9+/fM8fr3icKhUKhUP7r0BH1b4DMzEwkJCRg3LhxAGpHGR0dHbFv3z6hsvVd7M2lsLAQbm5u0NXVhZKSEhQVFVFWVtaob11OTg6Kioos3/rH+sEFeHl5QV5eHrKysli3bh3Wrl2LYcOGMcdFedXrnldCQoJ1bhUVFejr6yMjI6PBczanXmZmptDCQaIWEtLS0mKMLwKys7Mxbtw46OjoQFFREdra2gAgdE/r3iMJCQmYmZkJ9bvufRcs7CO4fnt7e4iLi+PkyZMAgNDQUAwcOJA5nyi8vb1RWlrKvJ49e9Zg2c9BY/n3QO0vBnv27MGePXvg4ODAOlbXdZ6bm4v4+HgAYOZoCNzo9ctSKBQKhUKp5buaTPq9sW/fPvB4PNbkUUIIpKWlsW3bNpberr6LvblMnjwZRUVF2Lx5M7S0tCAtLQ1zc/Ov5ltfuHAhnJ2dIS8vjzZt2jDu7C993s+FqPtuZ2cHLS0tBAcHo23btqipqUHXrl0/yoMvoO71C+6N4PqlpKQwadIkhISEYNSoUTh06BA2b97caHtf26MueLhojktdW1sbx44dQ01NDXg8HoyNjdGmTRuUlJTgjz/+QFZWFsTFxTFixAjGty4tLY2WLVtSLzqFQqFQKCKgI+pfCB6Phz/++AOBgYFITk5mXikpKWjbti0OHz7caP2G3O71iYuLw+zZs2FrawtDQ0NIS0uz9HbN4WP84PVp1aoVOnXqBDU1NaEgvTnn5fF4uH37NrOvqKgImZmZ6NKlCwDR96E59fT19XHnzh1WvfrbohC0s2TJEgwePBgGBgYoLi4WWbbuPeLxeEhKSoKBgUGT56iLq6srLl++jB07doDH44lcGOnfQFNTE3v27IG+vj4kpaRFutQBDlasWAEfHx+UlZVBSkqK6f/ChQsREBAAAwMDVFZW4vbt2yguLkb//v2RlpYGT09PxMfHo6qqqlEvOp/Px7179xAdHY179+41678JCoVCoVD+K9AR9S/E2bNnUVxcDBcXF6GFYUaPHo19+/bB3d29wfqiXN+iRlJ1dXVx8OBBmJmZ4e3bt1i4cOFHr+b5KX7wz4Guri5GjBgBNzc37N69GwoKCli8eDHatWuHESNGABDtuG9OvVmzZsHCwgIbN26EnZ0drly5gvPnz+PDhw+wt7dHREQEqy9Xr17FwIEDUVRUBBUVFezZswfq6urIy8trcGLt9u3boaurCwMDAwQFBaG4uLjJVJH6GBgYoE+fPvDy8sLUqVM/eSXWz42MjAwzUr4paCNevHgBoFaXuWvXLjx9+hQAwbNnz/Ds2TMMHz4cnTt3xvjx43H+/Hm8f/8e58+fF2r36tWruHr1KgCgRYsWmDt3boNe9NjYWOzYsQMFBQXMPjU1NXh4eFCXOoVCoVB+COiI+hdi3759sLKyErl64+jRo5GYmNio6WL06NGwsbHBwIEDoaqq2uAI/L59+1BcXAxTU1NMnDgRs2fPRuvWrT+qrwI/eEREBExMTLBr1y6sXr36o9r4VEJCQtCjRw8MHz4c5ubmIIQgMjKSSRmp67hXVVXF+vXrm1WvX79+2LVrFzZu3AgTExNcuHABc+fObdLDLSYmhiNHjiApKQldu3bF3LlzsWHDBpFl165di7Vr18LExATXr1/H6dOn0apVK1aZ5qT5uLi4oKqqigny+Xz+v54eVFFRgaysLOTl5cFzzlysWrUKq1atgre3N54+fcr483fs2IGhQ4eCw+Hg4cOHWLZsGdq3bw+g9nvVvXt3aGpqgsPhMPstLS0RGBiIY8eONRqk+/r6QkdHB9u3b0dkZCS2b98OHR0d+Pr6IjY29qvdCwqFQqFQ/jW+xsxWCuVbwNXVlbRu3ZqMGDFC6JjA0iKw3Bw7dox06dKFSElJES0tLRIQEMCUFVhfpk+fTiZOnEgUFBTI5MmTGUPNqVOniIGBAREXFye5ublNOt9HjhxJxMTEhOo1h6/lUbe0tCS9HWcz71NSUlge9bKyMubY6NGjibe3N+OC5/P5xNvbm4wdO5YsXry4SW86j8cjjo6OrDYE1G2LutcpFAqF8r1CrS+UH56AgACkpKTg0aNH2Lp1Kw4cOICOHTs2WS8pKQkODg4YO3Ys0tLS4Ofnh6VLlwqlAx08eBAmJia4d+8eli5dCgD48OED1q1bh7179+L+/fto3bp1g8734uJipKen4/Lly+BwOEL1RPFvedQBQLy01jDTtWtXFBYWssplZWUx71+/fg0nJyfGBS8mJgYnJyfk5+ejV69eTXrTU1NTUVBQwGpDQN22qHudQqFQKP91aI465T9LQkIC1q9fj3fv3kFHRwdbtmzBrVu3EBYWBnl5eVbZupMUN27ciMGDBzPBt56eHh48eIANGzbA2dmZKdezZ0/Mnz+f2b5+/Tqqq6uxY8cOmJiYAKhVPZ4+fRpxcXHo27cvACA8PBwaGhoYOXIk4uPjYWJigjt37rDqNcSaNWvg7+//j+7Lx7B//37mvRivAgCQnp6O9PR0VjnB4lkCOnToIHJbMM+ifnlRbdVvo35bjbVBoVAoFMp/ATqiTvnPcvToUbx8+RLl5eW4f/8+M3l34MCBLBNPcnIy9u7dy9TLyMhAv379WG3169cP2dnZ4PP50NbWhpaWFgYPHix0TikpKZZqsDHn+6BBg1BZWQkPDw+heg3xb3rUayRkANSOqPv4+LDK1feg13Wk192urKwUWV5UW/XbqN8Wda9TKBQK5b8ODdR/YDgcjpD9pC5Xr14Fh8NBSUkJgNoFeZSVlRtt08/PD926dftsffwSyMnJoVOnTqxXu3btPqmd+nC5XCFNJY/Ha9KPLqqeKKSlpaGoqMh6fQkEesbu3bsz+/hKGgBqR9R79uyJPXv2QFNTE3w+n/mOALXpKVu2bEF1dTUAML8yKCsrIyoqCmpqajA0NGxQu2hsbAw1NTWEh4cLTaqtqalBeHg41NXVqXudQqFQKP95aOrLf5SCggKsWrUK586dw99//43WrVujW7dumDNnjsiRYFH07dsX+fn5Is013wIDBgyAs7MzKx2luYSGhmLKlCnMtoxM7WjxmTNnYGBggLi4OFb5uLg46OnpNWmNqY/Aq16rM6ylvvP9W0SgZ7x//z7ExSXA5/MgU5DCHB85ciSsrKzQsWNH7N69G+T/F0MCaoPpzMxMDB06FD169EBaWhozkl5SUgJZWVk4ODiwgvu62kVxcXF4eHjA19cXS5YsgZOTEzp06IDc3FyEh4cjPj4e/v7+H/1ZUCgUCoXyvUFH1P+DPHnyBD169MCVK1ewYcMGpKWl4cKFCxg4cCBmzJjR7HakpKQ+aSGjxviU1T2/FIqKisjPz0d+fj6Cg4MBAFOmTMHo0aMRHR2NFStWICsrCwcOHMC2bduwYMGCjz6Hrq4uuFwu/vzzT9y4cQMpKSmYMGECy/n+rVJYWAjPOXPB5/OYfZKSUujYsSMIIYiKisKuXbuYIF1cXByWlpZMWUIIEhMTmSC9TZs2sLKywocPH1BSUgI3N7cGtYsWFhbw9/fH48ePMWPGDNja2mLGjBnIzc2Fv78/9ahTKBQK5YeABur/QTw8PMDhcJCQkIDRo0dDT08PhoaGmDdvntCKo69fv8bIkSOZhYROnz7NHKuf+iKKtWvXok2bNlBQUICLiwsqKipYx52dnWFvb49Vq1ahbdu20NfXBwA8e/YMDg4OUFZWRsuWLTFixAg8efJEqF5AQADU1dWhoqKCGTNmMOkU9SGEwM/PD5qampCWlkbbtm0xe/bsRu8Th8OBmpoa1NTUGMe3mJgY+Hw+jh49iiNHjsDQ0BAeHh7Mff3555+RnZ3Nauf48eMwNDSEm5sb3r59i8DAQNbxVq1aQUNDg3G+P3v2DIWFhUxQeufOHbx79w5cLhcqKiqwsrLC+/fvG+37l6aiogKpqangVdc+WJV3sEC5jiWqq6vg5eWFU6dOsUa0u3fvjqioKPj7+yMqKopZLAmoXSQpMDAQBw8eRHp6OszNzWFubo6zZ89CWloahoaGWLlyJczNzbFz504mDcbCwgLh4eEICgrC0qVLERQUhLCwMBqkUygUCuWHgQbq/zHevHmDCxcuYMaMGSJzqOvnmPv7+8PBwQGpqamwtbWFk5NTs20aR48ehZ+fH1avXo3ExESoq6tjx44dQuWio6ORmZmJqKgonD17FtXV1bC2toaCggKuX7+OuLg4yMvLw8bGhjXiHhMTg5ycHMTExODAgQMIDQ1tcMXU48ePIygoCLt370Z2djYiIiJgZGQkVC40NFRkXn7//v0Zw4mpqSlGjx6N+/fvw9bWFlpaWrh48SJLrZidnY05c+awVI7379/H/v37hVSOAqVgSUkJ/Pz8UFBQgMuXL2Pw4MHIz8/Hnj17EBAQgIyMDFy9ehWjRo1ipZLU5WvpGfPy8rBq1Spmu4arjBqZ2hSop0+fIjY2lpVXbm1tzagUJSUl8fPPPzPHysrKICYmhvv376OgoAATJkzAhAkTWIrFhrSL4uLi6N69OwYPHozu3bvTdBcKhUKh/FDQHPX/GI8ePQIhBJ07d25WeWdnZ4wbNw4AsHr1amzZsgUJCQmwsbFpsu6mTZvg4uICFxcXAMDKlStx+fJloVF1OTk57N27F1JSUgCAsLAw1NTUYO/evUxaTUhICJSVlXH16lUMHToUQO0S89u2bYO4uDg6d+6MYcOGITo6Gm5ubgDALEUP1AaWampqsLKygqSkJDQ1NdGrV69G+19aWspoGsvLyyEpKYk9e/YwrvXG1IoREREYM2ZMs1WOAODl5YWDBw/i2rVrMDQ0BFDrKefxeBg1ahS0tLQAQOQDhoCvrWcURd0AXkDbtm1Z2wINo4C6D391tYui9lPtIoVCoVAotdAR9f8YDY3ENkRdc4acnBwUFRXx8uXLZtXNyMhgaQcBwNzcXKickZERE6QDYBYhUlBQgLy8POTl5dGyZUtUVFQgJyeHKWdoaMgaQVVXV2+wb2PGjEF5eTl0dHTg5uaGkydPgsfjiSwrQEFBgdEz3rt3D6tXr4a7uzvOnDnDXF9DasWMjAymTGMqRwGBgYEIDg7GjRs3mCAdAExMTDB48GAYGRlhzJgxCA4ORnFxcYN9/tp6RlH4+Piw/PEA8OLFC9a2IC9dQMuWLVnaRVGKRapdpFAoFAqFDQ3U/2Po6uqCw+Hg4cOHzSovKSnJ2uZwOEJKvH9K/RScsrIy9OjRQ8hlnpWVhfHjx39S3zQ0NJCZmYkdO3aAy+UyBpGGctqB2nQLgZ7R2NgY8+bNw4ABA7Bu3bp/cLWi6d+/P5P7XhdxcXFERUXh/Pnz6NKlC7Zu3Qp9ff0GHeJfS8/YGFpaWrC1tUWrVq2YfWfOnGE+m5qaGty8eZM5pqqqCmNjY0a7GBYWhrCwMJZikWoXKRQKhUIRhgbq/zFatmwJa2trbN++XeSERMHE0PppGQMGDMCcOXM+6lwGBga4ffs2a1/9yaqiMDU1RXZ2Nlq3bi3kM/8nKkgulws7Ozu0bNkSysrKiI+PR1pa2ke1IS4ujvLycgC118fj8VjXWF+t2JjKcfDgwcw97dWrF2RlZeHn54eAgABWeQ6Hg379+sHf3x/37t2DlJQUTp48+bGX/1nR1NRkLWokVl4CsYpSZltcXJw1Wff+/fsYM2YM9u7di19//RV37txhjsnIyODBgweorKyEnZ0d4uPjER8fj86dO+POnTtIS0vDkiVLEB8fj+nTp9M8dAqFQqFQ/h+ao/4ZcXZ2RklJSaOLCH0Ntm/fjn79+qFXr15Yvnw5jI2NwePxEBUVhZ07dzJpG3U5ceIEJCUlG5ysKQpPT084OzvDzMwM/fr1Q3h4OO7fvw8dHZ1G6zk5OWHDhg0YMWIEli9fjvbt2+Pp06c4ceIEFi1axBhYPobQ0FDw+Xz07t0bxcXFKC4uBpfLZfK+6/LkyRPGoX7v3j2oq6ujvLwcUVFRuHDhAoDa4Dk3NxcjRoyAm5sbdu/eDQUFBSxevJilVpw/fz569uyJFStWwNHREfHx8di2bRt27NghdC9TU1ORkpKCkSNHQkJCAnPmzMHt27cRHR2NoUOHonXr1rh9+zZevXrF+Nf/LWRkZNC2bVvGoc7NrTXUSEhIMr9SWFhYYPny5Vi+fDl4PB6KiooQFhYm1NazZ88wa9YsZltMTAw1NTWIiYlBTEwMgNpJzlS7SKFQKBQKGxqof0dUVVWxcr0bQkdHB3fv3sWqVaswf/585OfnQ1VVFT169MDOnTtF1vmUvGBHR0fk5ORg0aJFqKiowOjRozF9+nRcvHix0XqysrKIjY2Fl5cXRo0ahXfv3qFdu3YYPHjwJ6dyKCsrY+3atZg3bx4zMfTMmTNQUVFptJ6pqSmA2pQSLS0tWFlZ4eHDh8jLywNQO8nV09MTw4cPR1VVFSwsLBAZGcmk5ZiamuLo0aNYtmwZVqxYAXV1dSxfvhzOzs5CgbqqqiqsrKxw7tw52NraQlxcHFZWVoiNjcWmTZvw9u1baGlpITAwkGVN+TcoLCzEnLnzWA51AODxqjFn7jyEHfwDbdq0gYWFBS5evIiEhATs378f+fn5KCsrg4GBATw8PNCxY0fk5ORg165duH//PgCgd+/eGD9+PN6/f4/MzEwkJCTgwYMH/8ZlUigUCoXybUMon43JkyeTESNGEEIIqaioILNmzSKqqqpEWlqa9OvXjyQkJDBlQ0JCiJKSEqv+yZMnSd2PxNfXl5iYmJDg4GCira1NOBwOIYQQACQ4OJjY29sTLpdLOnXqRE6dOsXU4/F4ZOrUqURbW5vIyMgQPT09smnTpgb7SgghlpaWxNPTk9nevn076dSpE5GWliatW7cmo0ePZpWdOXMm8fT0JMrKyqR169Zkz549pKysjDg7OxN5eXnSsWNHEhkZ2ej9+uOPP0iPHj2IvLw8adOmDRk3bhwpLCxkjsfExBAA5PLly6RHjx6Ey+USc3Nz8vDhQ1Y7a9asIa1btyby8vJk6tSpxMvLi5iYmDR43tzcXAKALFmyhOjq6rKO6enpkaVLlxIAJDc3l9mflpZGbGxsiJycHGndujWZMGECefXqFXO8rKyMTJw4kcjJyRE1NTUSEBAgdE+1tLRIUFAQsx0YGEi6du1KZGVlSfv27cn06dPJu3fvGr1n9SktLSUASGlp6UfVa4rU1FRiaWlJek32IWbTA0kv56XE0tKS9B4/l1haWpLMzEyhOjwejzg6OpJFixaRjIwMUl5ezhyrqqoiQ4cOJUOHDiVVVVWsenw+n3h7e5OxY8cSHo/3Wa+DQqFQKJRvkeb+/aY56l+IRYsW4fjx4zhw4ADu3r2LTp06wdra+qPVc48ePcLx48dx4sQJJCcnM/sb85/X1NSgffv2+Ouvv/DgwQMsW7YMv//+u9BExoZITEzE7NmzsXz5cmRmZuLChQtCKQkHDhxAq1atkJCQgFmzZmH69OkYM2YM+vbti7t372Lo0KGYOHEiPnz40OB5qqursWLFCqSkpCAiIgJPnjwRyp0Hai0jgYGBSExMhISEBKZOncoca67LXRS//PILiouLcePGDQDAjRs3UFxcDDs7O1a5kpISDBo0CN27d0diYiIuXLiAwsJCODg4MGUWLlyIa9eu4dSpU7h06RKuXr2Ku3fvNnp+MTExbNmyBffv38eBAwdw5coVLFq0qNE6X8ujXlBQUPuGI4YauVao4SoDAIhUrc7y6dOnyMrKYr0iIyNRUFAAAwMDuLu7M79KAEB6ejoqKytRWVmJ9PR01rkacqhTKBQKhfKjQ1NfvgDv37/Hzp07ERoayqQwBAcHIyoqCvv27cPChQub3VZVVRX++OMPqKqqsvY35j+XlJRkubY7dOiA+Ph4HD16lBVcNkReXh7k5OQwfPhwKCgoQEtLC927d2eVMTExwZIlSwDUKgPXrl2LVq1aMY7zZcuWYefOnUhNTUWfPn1EnqduwK2jo4MtW7agZ8+eKCsrY/zmQK23W7A0/eLFizFs2DBUVFRARkam2S53UUhKSmLChAnYv38/fvrpJ+zfvx8TJkwQss1s27YN3bt3x+rVq5l9+/fvh4aGBrKystC2bVvs27cPYWFhGDx4MIDaB5mmcu3rTt7V1tbGypUr4e7u3uiDxrfgUQdEu9QFiJrnUPcBVdTDKnWoUygUCoUiDA3UvwA5OTmorq5m+bUlJSXRq1cvkRM5G0NLS0soSAea9p9v374d+/fvR15eHsrLy1FVVYVu3bo165xDhgyBlpYWdHR0YGNjAxsbG4wcORKysrIizy8uLg4VFRXWQj1t2rQBgEad7ElJSfDz80NKSgqKi4sZvV9eXh5jVal/LnV1daZdTU1NZGRkwN3dndWuubk5M0mxKaZOnYq+ffti9erV+OuvvxAfHy/kX09JSUFMTAzr4UFATk4Oc3/r+tZbtmwJfX39Rs99+fJlrFmzBg8fPsTbt2/B4/FQUVGBDx8+sO51Xby9vTFv3jxm++3bt9DQ0GjWtX5OfHx8hCbqZmZmIjAwUGR+ft05EKLmQ1CHOoVCoVAowtDUl38JMTExocWJRDm/6zvIBTTmGD9y5AgWLFgAFxcXXLp0CcnJyZgyZQqqqqqa1TcFBQXcvXsXhw8fhrq6OpYtWwYTExNG7djQ+evuE6w42pD3/P3797C2toaioiLCw8Nx584dRklYv58f0+7HYmRkhM6dO2PcuHEwMDBA165dhcqUlZXBzs5OyPuenZ39yZaSJ0+eYPjw4TA2Nsbx48eRlJSE7du3AxC+/rp8bY86p6oMYu9fQ6y8hNkGah8g9fT0WC9bW1uoqamJTPnp2rUrpKWlIS0tLXSPqUOdQqFQKBTR0BH1L0DHjh0hJSWFuLg4ZtSxuroad+7cYdIdVFVV8e7dO7x//54JxuvmoP8TBEvee3h4MPvqrvgpioqKCmzevBnOzs7o1q0bJCQkYGVlBSsrK/j6+kJZWRlXrlzBqFGjPksfHz58iKKiIqxdu5YZEU5MTPzodgQu90mTJkFbWxtz5sxplsu9LlOnToWHh0eDRhxTU1McP34c2trakJAQ/k+mY8eOkJSUxO3bt6GpqQkAKC4uRlZWFl69egUA2LRpEwBg+fLlAGoXaKqpqUFgYCDExGqfl5s7h+BroK+vDwkJScj8fRf4+3+Bt8zfdyEpJS3Sdy8uLg4PDw/4+vrC2NgYZWVl+PDhA2N9EaxW6unpid69e0NfXx9ycnI4fPgw4uPj4e/vTx3qFAqFQqHUgQbqXwA5OTl07NgRTk5OcHJygoSEBLhcLqqrqzF58mQAtYo6WVlZ/P7775g9ezZu3779UQ7zxtDV1cUff/yBixcvokOHDjh48CDu3LnD5AE7OzvjypUrjJoQqB2pdXV1RdeuXXH27Fk8fvwYFhYWaNGiBSIjI1FTU9NkKsfHoKmpCSkpKWzduhXu7u5IT0/HihUrPrqdui53Ho+H8+fPN+hy9/PzY+V3C/LuL1y4gFevXkFZWVnkOWbMmIHg4GCMGzcOixYtQsuWLfHo0SMcOXIEe/fuhby8PFxcXLBw4UKoqKigdevW8PHxgZiYGIYPHy7yujp16oTq6mps3boVdnZ2iIuLw65duz76+r8UmpqaCA8PQ2lp7SJHRUVFKCurHU2Xl5dHaWkpSktLoaSkxKQ5AbVudX9/f+zYsYOVolOXBw8esHSM1KFOoVAoFIpoaOrLZ6SmpoYZce3Rowc0NTXRsmVLiImJQVVVFZWVldi7dy+A2lzcsLAwREZGwsjICIcPH4afn1+DbfP5/Gane/z2228YNWoUHB0d0bt3bxQVFbFG10XB4XAgJycHCQkJKCsr48SJExg0aBAMDAywa9cuHD58GIaGhs27Ec1AVVUVoaGh+Ouvv9ClSxesXbtWaMXO5uDo6IilS5di0aJFePHiBYqLizF9+vQGyxsaGiIhIQEAEBUVhfz8fAwcOBCtWrUSOVoOAG3btkVcXBz4fD6GDh0KIyMjzJkzB8rKysxo+IYNG9C/f3/Y2dnBysoKP/30E3r06AEZGRkoKCgItWliYoKNGzdi3bp16Nq1K8LDw7FmzZqPvv4vRUVFBUpLS6GpqQklJSUs8/XDqlWrsGrVKnh7e2PatGmYNm0aJkychMLCQlZdCwsL7Nu3j7HnGBoaMpN9jYyM0LVrV3A4HAwcOBCGhobMwwCFQqFQKJR6fB1b5I+BtbU1mTFjBiFE2FNOCCFDhgwhffr0IYQ07dAWeNZPnTpFDAwMiLi4OMnNzSUVFRVk/vz5pG3btkRWVpb06tWLxMTECNW7cOEC6dy5M5GTkyPW1tbkxYsXhJBaNzsA1ismJoZxi9+7d48Q0nyH+YoVK4iqqiqRl5cnLi4uTTrMP8bxvmHDBqKmpkZatmxJPDw8WP7twsJCMnz4cCIjI0O0tbVJWFiYkKe8PgIvvSia63S/cOEC6datG5GRkSEDBw4khYWFJDIyknTu3JkoKCiQcePGkffv3zP1GnOpT5kyhQwbNozVj6qqKqKqqkr27t3b4HXU5Ut51DMzMxlfuuC9wKHey3lprVt9yrIGneoZGRnE0tKSzJo1i1RVVRFHR0fi7e1N+Hw+y5teVVVFHeoUCoVC+eGgHvWvSHFxMc6ePYurV6/CysqqwXJcLpeZKNgch/aHDx+wbt067N27F/fv30fr1q0xc+ZMxMfH48iRI0hNTcWYMWNgY2OD7OxsVr2AgAAcPHgQsbGxyMvLw4IFCwAACxYsgIODA2xsbJCfn4/8/Hz07du3wT435jAPDw/HqlWrsG7dOiQlJUFTU7PBPG8BzXW8x8TEICcnBzExMThw4ABCQ0NZqUHOzs549uwZYmJicOzYMezYsaNRw0xTNNfp7ufnh23btuHmzZt49uwZHBwcsGnTJhw6dAjnzp3DpUuXsHXr1mad09XVFRcuXEB+fj6z7+zZs/jw4QMcHR1F1vlaHnUBT58+xdOnTwH8z6Few1WudavLKDFl6jvVBW56W1tbpKeno6CgAE5OThATE2N509PT06lDnUKhUCiUBqA56p+BqVOn4s6dO5g/fz5GjBghdJwQgujoaFy8eBGzZs0C0DyHdnV1NXbs2AETExMAtdrCkJAQ5OXloW3btgBqA+8LFy4gJCSE8XxXV1dj165d6NixIwBg5syZzCRGeXl5cLlcVFZWQk1Nrclra8xhvnXrVri4uGDKlCkAat3ply5dYnKZRdFcx3uLFi2wbds2iIuLo3Pnzhg2bBiio6Ph5uaGrKwsnD9/HgkJCejZsycAYN++fTAwMGjyetLS0liaxS5duiAhIaHZTveVK1cy2k0XFxd4e3sjJyeHyYn/9ddfERMTAy8vryb70rdvX+jr6+PgwYPMQ1pISAjGjBkjUgUJfH2PemO+9OaUadu2LTOhVjBHou77N2/ewNzcnHlPoVAoFArlf9BA/TMg0ArW5+zZs5CXl0d1dTVqamowfvx4Jg+9OQ5tKSkplq4uLS0NfD4fenp6rPNUVlZCRUWF2ZaVlWWCdKDWPf6po82NOcwzMzOFct979eqFK1euNNpmcxzvhoaGLAOIuro60tLSAAAZGRmQkJBAjx49mOOdO3ducDJoXfT19XH69GlmW1paGsCnOd3btGkDWVlZ1sTVNm3aMDnwzcHV1RV79uzBokWLUFhYiPPnzzd6/762R93HxwdA48G4KKd6bGwswsLC8OLFC2ayaW5uLjPPoa43nTrUKRQKhUIRDU19+YIMHDiQ8W2Xl5fjwIEDkJOTa7ZDm8vlMt5woNbnLS4uzhhFBD7vjIwMbN68mSknKSkJZ2dn2NvbA6idKEoIYY3iN5fP7TCv63iXlJSEp6enSMd7Y574f4KUlBTk5eUxffp0mJiYwMjI6B853QXbgvv9sf2cNGkSHj9+jPj4eISFhYHH46GoqKjB8l/Lo66pqYk9e/agf//+TBAucKiLlZfUutUraieBinKqjxs3DioqKoiJiUHXrl2hpqaG8PBw1NTUsLzpgom01KFOoVAoFIowdET9CyInJ4dOnToJ7U9KSmrUoe3s7IwDBw4AqA0sNTU1MWnSJPz666/g8/l49+4dxMTERLYtYPPmzUILKgmQkpICn8//J5cGoHZ0+s6dO5g0aRKz786dO43Wqet4X79+PVRVVXH79u2POm/nzp3B4/GQlJTEpL5kZmayFmRqjKCgIOTn5yM5ORlKSkoine6///47gFo1Y1xcHKv+hg0bsGjRIpauUnC/Bb705qKiogJ7e3uEhIQgPj7+o+p+SWRkZJhfbqqrq//nVAfAzY1lyjXkVJeTk4Onpyd8fX3h6+uL4cOHY+/evfD09AQApKenw9XVFb6+vtShTqFQKBRKA9BA/V+gOQ5tIyMjPHnyBGlpaYiMjMSMGTMgKSkJJycn7NmzB9XV1cjNzcWrV68QHR0NY2NjDBs2jKkvKngSoK2tjYsXLyIzMxMqKiqNlm2MWbNmwc3NDWZmZujbty/+/PNPpKaminSYC6jreOfxeIiMjGQ53puDvr4+bGxs8Ntvv2Hnzp2QkJDAnDlzwOVym1U/JycHPXr0gK6uLoDakfH6Tvdr164BqH3weP78Oav+/v37mYWNBHzqPQRq01+GDx/+WR6ePjeFhYWYM3ceeLzaVXPFJSSwcsUKJtWqvke9LnWd6jdv3gQAJn0JAIKDg6Gurk4d6hQKhUKhNAAN1P8F6jq0vb29YWFhgTVr1rBGpiUkJCAmJgYtLS1Mnz4dJ0+exOnTpxEbG4tff/0VZ86cYQJNoHYBpboLGDk7O6OkpAQRERFC53dzc0NUVBS6du0KHo8HaWlp9OnTh1WmoKAAQG1QX11dDW1tbbi7uzPHr127hs2bN6OqqgpTpkyBhIQEnJyc4OzsjISEBAwYMIBZKv7gwYOQlJTE9OnT4ePjg3v37sHR0RFv375Fu3btoKWlhbS0NGhqamLJkiXMOQYNGoQuXbpg27ZtzL5Xr16hXbt2CA8Px4EDB2BpaYk2bdpg5cqVWLp0KQBg586dCAgIwLNnz9ChQwcsWbIEEydOBFC72E5KSgoA4I8//sDkyZMZo8zvv/+OLVu2wNTUFEOHDsWRI0dgbm6OAwcOMBNIb9++jdevX2PMmDGsXHLB/Rbk2g8YMADGxsbIycnBrVu3cOTIEdb9A4Ds7Gy4uLggISEBhBCYmpo2+YvE16KiogJ5eXmorKxEdVUlKtqZQubvu+DzeFBRUWFG2ysqKpCVlQVNTU3IyMgItWNhYYF+/fohNTUVb968YeYRlJSUoGXLljA2NqYj6RQKhUKhNMSXN0VSPhZRDvZffvmFmJqaEkJqXemSkpLEysqK3LlzhyQlJREDAwMyfvz4Btuo7/P+5ZdfiIGBAYmNjSXJycnE2tqadOrUiXGVDxs2jAwZMoSkpqaSnJwccubMGXLt2jVCCCHPnz8nsrKyxMPDg2RkZJCTJ0+SVq1aEV9fX2JlZUUmTJhALC0tiby8PPH09CQPHz4kYWFhRFZWluzZs4fpg5aWFmnZsiXZvn07yc7OJmvWrCFiYmKMqz08PJy0aNGCVFRUMHU2btxItLW1SU1Njch7d+LECSIpKUm2b99OMjMzSWBgIBEXFydXrlwhhBDy8uVLYmNjQxwcHEh+fj4pKSkR2Y7AuX7ixAnSqVMnZr+Liwvx9PQknp6exNLSstH7raioSPz8/EhWVhY5cOAA4XA45NKlS4QQQvh8PunatSsZPHgwuXnzJpGVlSUdOnQgAMjJkydF9kkUX9qjfunSJcadbmlpKeRNr+tbp1AoFAqF0jyoR/0/AiEEly9fxsWLFzFo0CBmv0DBaGZmBlNTU8ycORPR0dHNajM7OxunT5/G3r170b9/f5iYmCA8PBx///03MwKfl5eHfv36wcjICDo6Ohg+fDiTnrBjxw5oaGhg/fr1iIyMhK6uLqZPn441a9bg8uXLmDx5MgBAQ0MDQUFB0NfXh5OTE2bNmoWgoCBWX2xtbeHh4YFOnTrBy8sLrVq1QkxMDABg1KhRAIBTp04x5UNDQ+Hs7MyaZFuXgIAAODs7w8PDA3p6epg3bx5GjRrFrHqqqqoKaWlpcLlcqKmpNZmyMnz4cLx9+xaxsbF4//49jh49ylI5NoaxsTF8fX2hq6uLSZMmwczMjPmMLl++jIcPH2Ljxo2IiIhAq1atmuVf/9oe9bqOdwF1vekCxzqFQqFQKJTPD019+UZpTO0I/DMFo0Bv2Lt3b2afiooK9PX1kZGRAQCYPXs2pk+fjkuXLsHKygqjR49mrBwZGRkwNzeHmJgYIiMjsWrVKnz48AFVVVXYtWsXrKyssHLlSvTp04cVUJubmyMwMBB8Pp9Jd6hr+uBwOFBTU2OuQ0ZGBhMnTsT+/fvh4OCAu3fvIj09naVXFHVt06ZNY+3r168fy4rzMUhKSmLChAkICQnB48ePoaen12w7Sf1ydT+jjIwMqKurw8TEBO3bt0doaCjMzMyabPNre9T3798vtK85bnUKhUKhUCj/HDqi/o3SkNpRgCh9IWnA8vIpuLq64vHjx5g4cSLS0tJgZmYmNOLL5XJx+fJlFBUV4datWwCAn3/++aPO05SG0dXVFVFRUXj+/DlCQkIwaNAgIWf3l2bq1Kn466+/sH379maPpgNNX5uEhAQIIXj27BkGDx7crDa9vb1RWlrKvJ49e9bs/nwKoq7Xx8cHe/bswZ49exjPOoVCoVAolM8PDdS/UQRqR01NTUhIfN4fPgwMDMDj8VhaxFOnTiE5OZkVBGtoaMDd3R0nTpzA/PnzERwcDG1tbbx79w7x8fGsB4O4uDgoKCigffv2zL762sVbt25BV1f3oyYPGhkZwczMDMHBwTh06BArcAwNDRVa5MjAwEBIpxgXF8datAioddJzOBwkJyc32QdDQ0MYGhoiPT0d48ePb3bfG8PAwADPnj1jpZYIHnYa42t71Lt37w7gfw51gO1N79+/P/bs2SNkwalPVVUV/vrrL2zevBl//fWXkJ+eQqFQKBSKMDRQ/4apu2hRXR4+fIjS0tJme8Pro6urixEjRsDNzQ03btxASkoKk85ga2sLABg6dCjk5eWRm5uLu3fvIiYmBgYGBgCAn376Cc+ePcOsWbPw8OFDnDp1Cr6+vpg3bx7jhQdq89znzZuHzMxMHD58GFu3bmU82h+Dq6sr1q5dC0IIRo4c2WjZhQsXIjQ0FDt37kR2djY4HA7++usvnDt3DhwOBxwOB9evX4esrCzy8/MZM83Vq1fB4XAavKdXrlxBfn5+s1Y/bQ5WVlbQ09PD5MmTkZKSguvXr39To9MCj3rr1q0hISnFONTFxSVQVFSErKwsFBYWMuVEGV8E7Nq1Cz///DO2b9+OkydPYvv27fj555+FlKQUCoVCoVDY0ED9ByUkJAQ9evTA8OHDYW5uzuwXpGvU1NSgvLwcBgYGsLGxgZ6eHnbs2AGg1p0dGRmJhIQEmJiYwN3dHS4uLiy1IlC76mZ5eTl69eqFGTNmwNPTUyh/vDmMGzcOEhISGDduXKMBIQDY29tj8+bNCAgIYJard3NzQ35+PvPq3bs3xMTEoKam1uxfK+Tk5D5bkA4AYmJiOHnyJHN/XF1dv9nc77rTdvl8Hry9vTFt2jRMmDgJhYWFjdbdtWsXjhw5AkVFRSxYsADHjx/HggULoKioiCNHjtBgnUKhUCiUxvjyAhrKpyJK00gIITExMQQAKS4uZvZdv36d/PTTT0RGRoa0b9+ezJo1i5SVlTHH//jjD9KjRw8iLy9P2rRpQ8aNG0cKCwtFtil4X/fl6+tLCKlVKq5atYpMmTKFyMvLEw0NDbJ7926hPtbVQZ4/f57069ePKCkpkZYtW5Jhw4aRR48eMWVzc3MJAHL8+HEyYMAAwuVyibGxMbl58yZzXExMjPj6+hINDQ3C5XKJvb09CQgIIEpKSo3eQzSgOxSc8969e8z7uq/Jkycz1zFr1iyycOFC0qJFC9KmTRvmXggoLi4mLi4upFWrVkRBQYEMHDiQJCcnM8eTk5PJgAEDiLy8PFFQUCCmpqbkzp07hBBCnjx5QoYPH06UlZWJrKws6dKlCzl37lyj11SXL6VnJISQ8vJyRs/Ye/xcRtNoNj2Q9JqyrFEtY3l5Obl//z4ZOHAgsbe3J9XV1azj1dXVxN7engwaNIhUVlZ+9r5TKBQKhfItQ/WMPxA5OTmwsbHB6NGjkZqaij///BM3btzAzJkzmTLV1dVYsWIFUlJSEBERgSdPnsDZ2Vlke3379sWmTZugqKjIjEIvWLCAOR4YGAgzMzPcu3cPHh4emD59OjIzMxvs3/v37zFv3jwkJiYiOjoaYmJiGDlyJGtiJVA7SXHBggVITk6Gnp4exo0bh+fPn2PJkiUwNDTEihUrMHPmTCQnJ2PgwIFYuXLlP7tx/4+GhgaOHz8OAMjMzER+fj7LEiOYyHv79m2sX78ey5cvR1RUFHN8zJgxePnyJc6fP4+kpCSYmppi8ODBePPmDQDAyckJ7du3x507d5CUlITFixczv1zMmDEDlZWViI2NRVpaGtatWwd5efkG+/o19Yx5eXnMKD+Rqu1TDVcZNXKtUCNTq7Wsq2qs+7p+/To8PDxQU1MDFxcXoV8uJCQkMHXqVPD5fJZ+k0KhUCgUyv+gesZvHIGmsS71l5pfs2YNnJycMGfOHAC1OehbtmyBpaUldu7cCRkZGdYkTB0dHWzZsgU9e/ZEWVmZUPtSUlJQUlJidIn1EbjPAcDLywtBQUGIiYmBvr6+yGsYPXo0a3v//v1QVVXFgwcPmBxxAFiwYAGGDRsGAPD394ehoSE0NDSgp6eHjh07QkNDA4sWLQIA6Onp4ebNm7hw4UKD907AuHHjWBNYw8LCmBVEAUBcXBwtW7YEALRu3VooxUXgQwdq7+22bdsQHR2NIUOG4MaNG0hISMDLly8hLS0NoNblHhERgWPHjmHatGnIy8vDwoUL0blzZ6YNAXl5eRg9ejSMjIwA1H42jfG19YxN0Zx0nbqpVaL2v3jx4rP2iUKhUCiU/wo0UP/GGThwIHbu3Mnad/v2bUyYMIHZTklJQWpqKsLDw5l9hBDU1NQgNzcXBgYGSEpKgp+fH1JSUlBcXMyMZufl5QkZUZqiMfe5gKtXrzLvs7OzsWzZMty+fRuvX79mnbtuoF63XXV1dQDAtWvXYGFhge7duwtNJDU3N29WoB4UFAQrKytW269evWrGlQr3S1BfcL0pKSkoKyuDiooKq0x5eTlycnIAAPPmzYOrqysOHjwIKysrjBkzhnHgN+arF4W3tzfmzZvHbL99+xYaGhrNvpbPjY+Pj0hd5tOnT5kgPj4+HsOHDxcqEx8fDwBo27btl+0khUKhUCjfKTRQ/8YRaBrr8vz5c9Z2WVkZfvvtN8yePVuovqamJt6/fw9ra2tYW1sjPDwcqqqqyMvLg7W19Sdp8pryg9fHzs4OWlpaCA4ORtu2bVFTU4OuXbsKnbtuu4KFkhprt7moqakJ3cOPCdQbu96ysjKoq6uzHkwECEbm/fz8MH78eJw7dw7nz5+Hr68vjhw5gpEjR8LV1RXW1tY4d+4cLl26hDVr1iAwMBCzZs0S2RdpaWlm5P5rItAzipWX1P5bUQrgf6rGhhATE8O+fftgY2PDSn/h8XjYv38/xMXFMWLEiC/XcQqFQqFQvmNooP4fwNTUFA8ePBAKRgWkpaWhqKgIa9euZUZfExMTG21TSkpKKMWmMSIiIpCcnIyIiAjW/qKiImRmZiI4OBj9+/cHANy4caPZ7QowMDAQ6WX/XEhJSQEQTitqClNTUxQUFEBCQgLa2toiy2hra2POnDmYO3cu5s6di3HjxiEkJIT5hUDgq3d3d4e3tzeCg4MbDNS/JpqamlizZg2WLvNl9Izc3FjmuKSUNJSUlBqsu2fPHly6dAnHjh3Dr7/+iqFDh6Jt27Z48eIFLl26hJKSEowdO5a596Lg8/lITU3Fmzdv0LJlSxgbG3+Uh59CoVAolE/hW/n7QwP1/wBeXl7o06cPZs6cCVdXV8jJyeHBgweIiorCtm3boKmpCSkpKWzduhXu7u5IT0/HihUrGm1TW1sbZWVliI6OhomJCebMmcOk1ixYsADbtm3DpEmT8PvvvwMAbGxssHjxYqF2WrRoARUVFezZswfq6urIy8vD3LlzAQC5ubnNvsbZs2ejX79+CAgIwIgRI3Dx4sVmpb00xLFjxwCAWdBHVlYWQO3o97Jly8Dlchud1CnAysoK5ubmsLe3x/r166Gnp4cXL17g3LlzGDlyJAwNDfHmzRs8evQIT58+xfPnz3Hnzh0mb3/OnDn4+eefoaenh+LiYpav/t9GRkYGOjo6WLHcH2VlZULHG7s/Ar+6np4e8vPzERcXh6NHj7LK9OvXD+7u7g22ERsbix07dqCgoIDZp6amBg8PD1hYWHzCFVEoFAqF0jTf0t8fGqj/BzA2Nsa1a9fg4+OD/v37gxCCjh07wtHREQCgqqqK0NBQ/P7779iyZQtMTU0REBCAX375pcE2+/btC3d3dzg6OqKoqAgmJiawsbFBeno6pkyZAnV1dcyYMYNJC5GRkRHpGRcTE8ORI0cwe/ZsdO3aFfr6+vD29sa4ceM+6hr79OmD4OBg+Pr6YtmyZbCyssKSJUuwfPnyj2qnPlFRUejatSvevXsHFxcXbNu2Ddu2bcPkyZMRGhraZH0Oh4PIyEj4+PhgypQpePXqFdTU1GBhYYE2bdpAXFwcfD4f4eHhCA4ORqtWrTBq1ChmQiifz8eMGTPw/PlzKCoqwsbGBkFBQf/omj4HFRUVuHfvHpYu8wWvuuH0KEkpaYQd/ANt2rQRefzy5cu4efMmevXqBQ0NDVRVVUFKSgp///03bt68idjYWJH/04uNjYWvry/Mzc2xdOlSdOjQAbm5uQgPD4evry/8/f1psE6hUCiUz8439/fnq8giKd89opzuQ4YMIX369BF5nM/nk3Xr1pGOHTsSKSkpoqGhQVauXEkIIULOcktLS0II270uYMSIEYzTnJBaj/vy5cvJxIkTiYKCAnOsKY98fUJCQoQc7Hw+n0hKSpKjR48y+968eUMmTpxIlJWVCZfLJTY2NiQrK4tV79ixY6RLly5ESkqKaGlpkYCAANZxLS0tEhQUxGwHBwcTJSUlcvnyZUIIIX/99Rfp2rUrkZGRIS1btiSDBw9utO91+VIe9czMTGJpaVnrTp+yrNad7rz0o1zqPB6PjBo1ilhaWpKMjAzWMT6fT7y9vcnYsWMJj8cTqufo6Ei8vb0Jn89vdj0KhUKhUP4JX/PvD/WoU744XC63wcmo3t7eWLt2LZYuXYoHDx7g0KFDzKhrQkICgNrR1vz8fJw4ceKjzhsQEAATE5PaEd+lS5vlkW8KPp+PAwcOAKjNOxfg7OyMxMREnD59GvHx8SCEwNbWFtXV1QCApKQkODg4YOzYsUhLS4Ofnx+WLl3a4Gj8+vXrsXjxYly6dAmDBw9Gfn4+xo0bh6lTpyIjIwNXr17FqFGjQAgRWf9retQF1Mgo1brTucq12810qUdGRqKoqAhA7S8rdRETE4OTkxPy8/ORmprKOpaamoqCggI4OTl9VD0KhUKhUP4J3+LfH5r6QvloCCGIjo7GxYsXRU56fPfuHTZv3sykkABAx44d8dNPPwGoTcUBABUVFZGe9qYYNGgQ5s+fz2y7uro26ZEXRWlpKZNnXV5eDklJSezZs4dRJ2ZnZ+P06dOIi4tD3759AQDh4eHQ0NBAREQExowZg40bN2Lw4MFYunQpgFq/+4MHD7BhwwahBaW8vLxw8OBB/F979x0WxbX/D/y99F6lKkWkCAgKFq7hKhALqCFqomJBsRslKhHjvUajGBNL1ERjlFjBGlLEeI0FjZeiiIAUBUQEpCXBElsABYH9/P7gt/NlWVBUmt7P63n2ITNz5szZmY17GM68T2xsLBwdHQEApaWlqKmpwXvvvSfEHEoy1RvT0XLUgeZlqTema9euACBMDCUhWZZsb+5+jDHG2KvoiN8/3FFnzSaZfKm6uhpisRgTJ05ESEiITLns7GxUVVVh0KBBrdKOPn36SC03J0e+MZqamkhNrUszefz4MX777Td88MEH0NfXh6+vL7Kzs6GgoAA3NzdhH319fdjZ2SE7OxtA3XttGC/o7u6OzZs3o7a2VnhCfNOmTaioqMDly5elJjXq2bMnBg0aBCcnJ3h7e2Po0KEYM2YMdHV1G21zR8tRB5rOUs/JycGmTZua3E/yMLFksikJyXJBQYHwC01z9mOMMcZeRUf8/uGhL6+ZmJgYiEQiPHz4sM2P7eXlhfT0dOTm5uLJkyfYt28f1NXVZcqpqqq+VP1ycnIyQz4kQ0wKCwshEonw9OlTmWNKcuTT09OF15UrV5CbmyvcHbe0tMTmzZtljmdtbQ1ra2s4Oztj0aJF8PT0xPr161+q/c8yYMAA1NbWyiSfyMvL4+zZszh16hQcHBywdetW2NnZNZmIo6ysDC0tLalXazA3N8eyZcsA1GWmy1X89X8Z6k8e1i03yFJv+Bo+fDiMjIzg7OyMLl26SNUvFotx6NAhmJiYyEzw5OzsDGNjYxw6dEgmR/9Z+zHGGGOvoiN+/3BHvQVNnToVIpFIeOnr68PHx6dFxzK99dZbKC0tbTK/ujVJJl8yNzeXmrymIRsbG6iqquLcuXONbm8qs9zAwAClpaXCcm1tLTIzM5/bLkmO/MyZM2FjYyP1UlZWRk1NDZKTkzF79uzn1iUvL48nT54AqMtur6mpkcpvl+TCS2Zztbe3R3x8vFQd8fHxsLW1lcpb7devH06dOoU1a9Zg48aNUuVFIhHc3d2xatUqpKWlQUlJCUePHn1uW1uTiooKnJ2doaikDNWbsVC/9h8hQ121IK5u+WbsM7PU5eXlERgYiIyMDHz++efIysrC48ePkZWVheXLlyMhIQFz586VyaWVl5fHvHnzkJCQgOXLl8vsd/HiRfj4+CAmJgZpaWkvnH3PGGOMNeZ53z9NfW+1Jh760sJ8fHwQFhYGALh16xaWL1+Od955B8XFxS1Sv5KS0kuN625LKioq+Ne//oUlS5ZASUkJ7u7uuHv3LrKysjBjxgwYGhpCVVUVp0+fRpcuXaCiogJtbW28/fbbWLRoEU6cOIFu3brhq6++atZfDiQ58rq6unjvvfcQHByMGzduIDY2FmvXroWCgoIwLr4+IhIyUp88eYKzZ88iKioKK1asAFD3C8fIkSMxa9Ys7NixA5qamvj3v/+Nzp07C8NdgoOD0bdvX6xevRp+fn5ISEjAt99+i+3bt8sc76233sLJkycxbNgwKCgoICgoCImJiTh37hyGDh0KQ0NDJCYm4u7dux0iS93IyAgHD+zHo0d1d87v3bsnlaeuoaEBKyurJqMZAWDgwIFYtWoVtm/fjsDAQGG9iYnJMyOumtpPR0cHOjo6wv9jAGerM8YYazkv+73Val45X4YJGoswPH/+PAGgO3fuEBFRdHQ0AaAHDx4IZdLS0ggAFRQUEBFRYWEhvfPOO6Sjo0Nqamrk4OBAJ06caHR/Sczg6dOnqXv37qSurk7e3t70559/SrVj165d1L17d1JWViY7Ozvatm2bsK2qqooCAwPJ2NiYlJWVydzcnNasWUNERGKxmFauXEnq6uokJydHJiYmNH/+/Cbfe15eHr377rtkaGhISkpKpKSkRPLy8lJ1WlhY0KhRo0hdXZ0AkLKyMu3YsYOePn1Kc+fOJT09PdLV1SUTExOSk5MjfX19ioyMJABkYmIiFXUokZSURLq6uqSoqEjq6urk7OxMX3zxhbC9YUQiGkREikQiMjU1pS+++IJqamqopqaGpk+fTubm5iQvL09ycnKkqKhI3t7eQjyj5D1PnjyZFBQUCABpaGjQunXrhONUVlaSlpYW6ejokJKSEnXr1o2WLFlC6urq9M0339CxY8eoU6dOQjs0NTVp7dq1Mu+vKa0Vz0hE9OTJE8rJyaEnT57QrVu3aPCQoUJko4eHBw0eMpRu3brVaPmGampqKDU1lX777TdKTU1tdrRV/f3Cw8PJ09OTli5dSpmZmVRRUUGZmZm0dOlS8vT0pNjY2BZ774wxxv63vez3VnM19/ubO+otqGFHvaysjObMmUPW1tZCHmdzOuojRoygIUOG0NWrVyk/P5+OHz8udEIa66grKirS4MGDKTk5mVJSUsje3p4mTpwo1H/w4EEyMTGhI0eO0M2bN+nIkSOkp6dH4eHhRES0YcMGMjMzo7i4OCosLKTz58/T4cOHiagu41tLS4tOnjxJRUVFlJiYSDt37mzyHKSnp9N3331HGRkZdOPGDVq+fDmpqKhQUVGRUMbCwoL09PRo27ZtlJubS2vXriU5OTm6fv26cN4MDAxo4sSJlJmZScePHycrKysCQGlpaU0eu7Ec9vrHbNhR79KlCx0+fJhyc3NpwYIFpKGhQffu3SMioqdPn9KKFSsoOTmZbt68SQcPHiQ1NTX64YcfhDoCAgJIS0uLPvjgA8rOzqbjx4+Tmpqa1PkZN24cmZmZUWRkJOXn59Nvv/1GERERRET04MEDMjAwoKVLl1J2djalpqbSkCFDyMvLq8n32FBrdtQlWeo5OTnCf7tN/EjqZ/0M9frlWxpnqzPGGHuTcEe9HQQEBJC8vDypq6sLd4tNTEwoJSVFKNOcjrqTkxOFhIQ0eozGOuoAKC8vTyizbds2MjIyEpa7desmdLwlVq9eTf379yciovnz59Pbb79NYrFY5nibNm0iW1tbevr06Qudi/ocHR1p69atwrKFhQX5+/sLy2KxmAwNDSk0NJSIiHbs2EH6+vpSd2ZDQ0Ob1VGX3FGXvBYtWiQcs2FHffny5cJyeXk5AaBTp041WX9gYCC9//77wnJAQABZWFhIdQ7Hjh1Lfn5+RFTXcQVAZ8+ebbS+1atX09ChQ6XWlZSUEIAmO7uVlZX06NEj4SUp35od9TNnztCZM2eEyY7q/zxz5ozQkZeUaY2OempqKnl4eFBmZmaj2zMzM8nDw4NSU1Nb/NiMMcZYS2tuR53HqLcwLy8vhIaGAgAePHiA7du3Y9iwYUhKSmo0wq4xCxYswNy5c3HmzBkMHjwY77///jOfMFZTUxPSTYC6cVR37twBAFRUVCA/Px8zZszArFmzhDI1NTXCQ4BTp07FkCFDYGdnBx8fH7zzzjsYOnQoAGDs2LHYvHkzrKys4OPjg+HDh8PX17fJh0nLy8sREhKCEydOCBnhT548kRmjX//9iEQiGBsbC23Ozs6Gs7OzVP55//79m3XuJk2aJKSVAHVjmptSvw3q6urQ0tIS2gAA27Ztw969e1FcXIwnT57g6dOn6NWrl1Qdjo6OUg+VmJiYICMjAwCQnp4OeXl5eHh4NHr8K1euIDo6Wshyry8/Px+2trYy69sjR/1ZOekvm6H+ojpiti1jjDHW2jj1pYVJklGsra3Rt29f7N69GxUVFdi1axeA/5uhkerFEEoiCCVmzpyJmzdvYvLkycjIyECfPn2wdevWJo+pqKgotSwSiYT6JQ//7dq1Syq+MDMzE5cuXQJQl5pSUFCA1atX48mTJxg3bhzGjBkDADAzM0NOTg62b98OVVVV4aG9hm2WWLx4MY4ePYo1a9bg/PnzSE9Ph5OTk8wMpo21uWEU0svQ1tYWzr+1tTU6derUZNlntSEiIgKLFy/GjBkzcObMGaSnp2PatGkv9D6eF1NZXl4OX19fqesiib9s6mGVpUuX4tGjR8KrpKTkmcdoCcuWLZP65afhtp07d2Lnzp1NlmkJ9bNtG8PZ6owxxt5E3FFvZSKRCHJyckLknyR9pH4MYXp6usx+ZmZm+OCDDxAZGYng4GCho/+ijIyMYGpqips3b0p1YK2traXuTmppacHPzw+7du3CDz/8gCNHjgh3J1VVVeHr64tvvvkGMTExSEhIEO4aNxQfH4+pU6di9OjRcHJygrGxMQoLC5tsX0hIiMxdant7e1y9ehWVlZUA6u74S2Y4bSuS2UjnzZsHFxcXWFtbIz8/v1n7VlZWQiQSQV5eHmKxGLGxsY2Wc3V1RVZWFiwtLWWuTWP59EDb5agDdVnqO3fuxIABA4S/Bomelkv9rJ+hPmDAAHz33Xd48OABzp0716LRiR0x25YxxhhrbTz0pYVVVVUJkX8PHjzAt99+K9w5BQBra2uYmZkhJCQEX3zxBW7cuCEze2NQUBCGDRsGW1tbPHjwANHR0a8U17dq1SosWLAA2tra8PHxQVVVFS5fvowHDx5g0aJF+Oqrr2BiYgIA8Pf3h6mpKYyNjaGjo4Pw8HDU1tbCzc0NampqOHjwIFRVVWWG8YSEhOCXX36BjY0NIiMj4evrC5FIhE8//fSF75RPnDgRy5Ytw6xZs7B06VKMGDECcXFxL/3+X4aNjQ3279+PqKgodO3aFQcOHEBycnKTQy8aY2pqioCAAEyfPh3ffPMNevbsiaKiIty5cwfjxo1DYGAgdu3ahQkTJmDJkiXQ09NDXl4eIiIisHv37jbNaW2MiooKbG1tcfv2bdy7dw8KCopQ+aNuJleVP1JlMtSTkpKwfft24fMPtFx0oiTbduXKlVi+fDkmTZqErl27oqCgAIcOHUJCQgJWrVrV7ueMMcYYa0l8R72FnT59GiYmJjAxMYGbmxuSk5Px008/wdPTE0DdUInvv/8e169fh7OzM9avX4/PP/9cqo7a2loEBgbC3t4ePj4+sLW1bTSXu7lmzpyJ3bt3IywsDE5OTvDw8EB4eLjQ6dTU1MSXX36JKVOmQEFBAaWlpdi3bx/k5OSgo6ODXbt2wd3dHc7Ozvjtt99w/Phx6OvrN3qsr776Crq6unjrrbfg6+sLb29vuLq6vlB7NTQ0cPz4cWRkZMDFxaXRSYJaWm1trdRwpDlz5uC9996Dn58f3NzccO/ePcybN++F6w0NDcWYMWMwb948dO/eHbNmzUJFRQWAuo58fHw8amtrMXToUDg5OSEoKAg6OjrCEKn2dvv2bfhPnoKlS5eipub/hjvJKyhg89dfCRnqcXFxWLlyJaysrLBt2zacPHkS27Ztg5WVFVauXNkiv2hJsm1v3ryJwMBADB8+HIGBgSgoKGifbFvGGGOstbXFk62s4ysrKyMNDQ26fv06+fn5SWWQS7La6zt69ChJPj6S5Jn6r7CwMCIiKioqonfffZfU1dVJU1OTxo4dK5W9vXLlSurZsyd999131KVLF1JVVaWxY8fSw4cPhTINYy8rKytp/vz5ZGBgQMrKyuTu7k5JSUlS7Tt27BhZW1uTsrIyeXp6Unh4eKP588eOHSN7e3uSl5engoICSkpKosGDB5O+vj5paWnRwIEDpVJ7iOoSY7Zv304+Pj6koqJCXbt2pZ9++knYXlBQQADoyJEj5OnpSaqqquTs7EwXL14korqEGU1NTal9JOdUTU2N/v7772ZcsTqtnaMupL1MW0F95m4S0l48PDzo6tWrRNT20YmtnW3LGGOMtbbmfn93jNt2rN39+OOP6N69O+zs7ODv74+9e/dK3WF+Fj8/PwQHB8PR0RGlpaUoLS2Fn58fxGIxRo4cifv37yM2NhZnz57FzZs34efnJ7V/Xl4efvzxRxw/fhynT59GWlraM+9eL1myBEeOHMG+ffuQmpoKa2treHt7C2PqCwoKMGbMGIwaNQpXrlzBnDlzGn3Q8fHjx1i/fj12796NrKwsGBoaoqysDAEBAbhw4QIuXboEGxsbDB8+HGVlZVL7fvrpp3j//fdx5coVTJo0CePHj0d2drZUmWXLlmHx4sVIT0+Hra0tJkyYgJqaGqirq2P8+PFSs2sCQFhYGMaMGQNNTc0m33tVVRX+/vtvqVdrKS4uFlJdxCraEKt3glhVR9guGeJy9epV3Lp1C5MmTZL5S4CcnBwmTZqE0tJSXL16tUXaJS8vDxcXFwwaNAguLi483IUxxtgbizvqDACwZ88e+Pv7AwB8fHzw6NGjJh+CbEhVVRUaGhpQUFCAsbExjI2NoaqqinPnziEjIwOHDx9G79694ebmhv379yM2NhbJycnC/pWVldi/fz969eqFgQMHYuvWrYiIiJAa6yxRUVGB0NBQbNiwAcOGDYODgwN27doFVVVV7NmzBwCwY8cO2NnZYcOGDbCzs8P48eMxdepUmbqqq6uxfft2vPXWW7Czs4Oamhrefvtt+Pv7o3v37rC3t8fOnTvx+PFjmXMxduxYzJw5E7a2tli9enWjyTyLFy/GiBEjYGtri1WrVqGoqAh5eXkA6oYjRUVFCQ8V37lzBydPnsT06dOfea7Xrl0LbW1t4WVmZvb8C9TKODqRMcYYax3cUWfIyclBUlISJkyYAABQUFCAn5+f0PF9WdnZ2TAzM5PqTDo4OEBHR0fq7rO5uTk6d+4sLPfv3x9isRg5OTkydebn56O6uhru7u7COkVFRfTr10+oMycnB3379pXar1+/fjJ1KSkpyaSE3L59G7NmzYKNjQ20tbWhpaWF8vJymRz4hrnu/fv3l7mjXr9uycO6kpz2fv36wdHREfv27QMAHDx4EBYWFs8dZ90e8YzPw9GJjDHGWOvgjjrDnj17UFNTA1NTUygoKEBBQQGhoaE4cuQIHj16BDk5OZlhME3lqL9OVFVVIRKJpNYFBAQgPT0dW7ZswcWLF5Geng59fX2Z/PTmqJ+xLjlO/QScmTNnIjw8HEDdsJdp06bJtKehtoxnrE+u8hHkKv6C3JOHMts4OpExxhhrHW9cR93T0xNBQUGvVEdhYSFEIpFUvnl8fDycnJygqKiIUaNGNauexjLCO5qamhrs378fmzZtkpp058qVKzA1NcX3338PAwMDlJWVCWklgGz2u5KSkpCZHR4eDh0dHdjb26OkpETqru+1a9fw8OFDODg4COuKi4vx559/CsuXLl2CnJwc7OzsZNrbrVs3KCkpIT4+XlhXXV2N5ORkoU47OztcvnwZU6dOFa6VZKjN0qVLn3k+4uPjsWDBAgwfPhyOjo5QVlbGX3/9JVNOMlmURFRUFGJiYvDw4cNn1l+fv78/ioqK8M033+DatWttnhX/PObm5li7di0UFJWgejMW6tf+A9WCuvQWeXkF4fpIohMTEhKwfPlyZGVl4fHjx8jKysLy5cuRkJCAuXPn8lhyxhhj7EW1yaOtryAgIIAA0Jw5c2S2zZs3jwBQQECAsO7evXsvlJrRGElqR1pamrCuX79+5O/vTyUlJUJyyPNIEk06sqNHj5KSkpJUyorEkiVLqE+fPnTv3j1SV1enBQsWUF5eHh06dIhMTU2p/sfn0KFDpK6uTmlpafTNN9+QtrY2icVi6tWrFw0YMIBSUlIoMTGRevfuTR4eHkI6zIwZM0hdXZ0GDx5M6enp9Ntvv5GcnBwBoOjoaCKSTX1ZuHAhmZqa0qlTpygrK4sCAgJIV1eX7t+/T0REN2/eJEVFRerRowcNGjSIfvjhB+rSpQsBoJKSEiKqS30RiUT09ddfS71nFxcXGjJkCF27do0uXbpEAwYMIFVVValyAEhFRYX27NlDOTk5tGLFChKJRBQTE0NisbjRz8+DBw+k3pPExIkTSUlJiXx8fF784lHrpr5IZGZm0pkzZ4TXxYsXpZJ7JGJjY8nPz09IhfHw8KDx48dTbGxsq7WNMcYYex019/v7tZjwyMzMDBEREfj666+FadkrKytx+PBhmJubS5VtrXGw+fn5+OCDD9ClS5dWqb+97NmzB4MHD5aauEbi/fffx5dffonff/8dBw8exMcff4xdu3Zh0KBBCAkJwezZs6XKRkZGwsvLCw8fPhSGlRw7dgzz58/HwIEDIScnBx8fH2zduhXGxsYwMzNDWloarK2t8d5772H48OG4e/cuVFRU8Pjx4ybbvG7dOojFYkyePBllZWXo06cPoqKioKurC6Du4cWff/4Z/v7+uHbtGmpra7Fs2TLMnTsXnTp1eu75mD17NlxdXWFmZoY1a9Zg8eLFMuX69++PiIgIzJs3DyYmJoiIiICHh0dzT7tgxowZOHz48HMfIm1rlZWVKC4uhoqKCoI+WoTqp1XCNkUlZRw8sF+mbL9+/eDu7o6rV6/i/v370NPTg7OzM99JZ4wxxl7SazH0RdJpioyMFNZFRkbC3NwcLi4uUmUbDn2xtLTEmjVrMH36dGhqagrToteXlJQEFxcXqKiooE+fPkhLSxO2SYbB3Lt3D9OnT4dIJEJ4eLgwvKO+X3755ZljjCVDMTZu3AgTExPo6+sjMDBQarx3VVUVFi9ejM6dO0NdXR1ubm6IiYkRthcVFcHX1xe6urpQV1eHo6MjTp48CaBuJtRJkybBwMAAqqqqsLGxkYkArO/06dN48OAB4uPjoa+vj3feeQf5+fnCdkNDQwB18YlbtmzBH3/8ARsbG3zyySeYNWuWMG49PDwcNjY2OHnyJDw9PbFx40YoKSkBqBs+cezYMZSXl+Pvv//Gjz/+KEySExAQgLy8PGFoxB9//AFPT08EBwdLtTM8PBxbt27FuHHjoKOjA1NTUxQVFSE5ORmVlZW4cOECXF1dsWjRIujo6EBfXx8XLlzA6NGj4evri+joaNy7dw9KSkr497//LdRJRPjoo48gEomE62Zubg5ra2vo6enh999/x6pVq7B27VrhMyVJj4mOjsbZs2dRVVWF6OhoGBoaQiQS4eHDh7C0tAQRIT8/Xxg+06tXL2zcuFGY+Aqo+2yGhoZCWVkZ06dPb/Sz2V6Ki4sxe/Zs5OTkoPppFSo7101aVdnZFdVPq/Do0SOZssXFxRydyBhjjLWg16KjDgDTp0+X6nTu3bsX06ZNa9a+mzZtEjrg8+bNw9y5c4VEkfLycrzzzjtwcHBASkoKQkJCpO6gmpmZobS0FFpaWti8ebOQEf6yoqOjkZ+fj+joaOzbt0/o9Et8+OGHSEhIQEREBK5evYqxY8fCx8cHubm5AIDAwEBUVVUhLi4OGRkZWL9+PTQ0NADUZXtfu3YNp06dQnZ2NkJDQ595B7miogKLFi3C5cuXce7cOcjJyWH06NEyDwQ2lQcOAImJiZgxYwY+/PBDpKenw8vLS2am1ab07t0blpaWOHLkCIC6Dl9cXBwmT54sVa66uhre3t7Q1NTE+fPnER8fDw0NDfj4+AgPeW7atAnh4eHYu3cvLly4gPj4eBw5cgQVFRU4cOAANmzYAGNjY6HOyMhIdOnSBZ999pmQ/Q7U3R3u3bs3Tpw4gczMTMyePRuTJ09GUlISAGDLli0AgCFDhgj7NRaRmJKSgnHjxmH8+PHIyMhASEgIPv30U+FaP378GDU1NTh69Cg8PT0b/Ww2pi1z1AEI54WUNKR+FhUV4caNG7hx4waKiopatQ2MMcbY/6y2GIfzKiTjk+/cuUPKyspUWFhIhYWFpKKiQnfv3qWRI0dKjVH38PCghQsXCssWFhbk7+8vLIvFYjI0NKTQ0FAiItqxYwfp6+vTkydPhDKhoaEyY4y1tbWF2TaJnj9bJ5HsGPWAgACysLCQmklx7Nix5OfnR0R1s3jKy8vTH3/8IVXvoEGDaOnSpURE5OTkRCEhIY2eK19fX5o2bVqj25rj7t27BIAyMjKI6P/G6u/evVsok5WVRQAoOzubiIgmTJhAw4cPl6rHz89P5tw0BICOHj1KmzdvJi8vLyIiWrVqFY0ePVpmPPeBAwfIzs6OxGKxsH9VVRWpqqpSVFQUERGZmJjQl19+KWxfsGABycnJkZycHNnY2NBnn31GAwcOlPlsNByj3pgRI0ZQcHCwVNvfeecdqTLR0dFSM59OnDiRhgwZIlXm448/JgcHByKq+2wAICMjIyorKyMi2c9mYyT7NXy19Bj1nJwcqbHmkhlJ689M2vCVk5PTom1gjDHG3lRv3MykBgYGGDFiBMLDwxEWFoYRI0Y8d7yxRP1YOJFIBGNjYyHPOjs7G87OzlBRURHKNMzIbkmOjo5SwwFMTEyEtmRkZKC2tha2trbQ0NAQXrGxscKQlAULFuDzzz+Hu7s7Vq5cKTXb49y5cxEREYFevXphyZIluHjx4jPbkpubiwkTJsDKygpaWlqwtLQEAJnM8GflgWdnZ8PNzU2q/IucP39/fyQkJODmzZsIDw9vdKz2lStXkJeXB01NTeGc6OnpobKyEvn5+Xj06BFKS0ul2rFlyxa8++678PX1xY0bN/Dpp58+N/oQAGpra7F69Wo4OTlBT08PGhoaiIqKkjonHh4e6Nat2zPryc7Olsp6BwB3d3fk5uaitrYWISEhsLCwQHBwsPAXkYafzca0dY56U2Pnly1bhp07d2Lnzp2NzvrKGGOMsVf3WjxMKjF9+nR8+OGHAIBt27Y1e7/6edZAXYeo4fCOF/Wy2eLPakt5eTnk5eWRkpIiM7ZX0pmbOXMmvL29ceLECZw5cwZr167Fpk2bMH/+fAwbNgxFRUU4efIkzp49i0GDBiEwMBAbN25stC2+vr6wsLDArl27YGpqCrFYjB49eshkhj8vD/xVSMbGz5gxA5WVlRg2bBjKysqkypSXl6N37944dOiQzP4GBgYt0g6JDRs2YMuWLdi8eTOcnJygrq6OoKCgl8pRb44X/WwqKytDWVm5VdrSGMkvZqKn5VI/LSwsYGtr22btYIwxxv4XvTZ31AEIY5IlY5Zbgr29Pa5evYrKykphXcOM7MY0J1v8Rbm4uKC2thZ37tyBtbW11Kv++GozMzN88MEHiIyMRHBwMHbt2iXVroCAABw8eBCbN29u8uHEe/fuIScnB8uXL8egQYNgb2+PBw8evHCb7e3tkZiYKLWuOeevvunTpyMmJgZTpkxp9OFDV1dX5ObmwtDQUOa8aGtrQ1tbGyYmJlLtqKmpQUpKyjOPWz/7XSI+Ph4jR46Ev78/evbsCSsrK9y4ceO5+zVkb28vlfUuqdvW1hbnz59vkV8WW5PkwVY7OzsoKilD5Y9UAIDKH6lQVFKWSgmSlG2YwMQYY4yxV/Na3VGXl5cXpmlvqTSJiRMnYtmyZZg1axaWLl2KwsLCJu9A1+fm5gY1NTV88sknWLBgARITE6UeCn0Ztra2mDRpEqZMmYJNmzbBxcUFd+/exblz5+Ds7IwRI0YgKCgIw4YNg62tLR48eIDo6GjY29sDAFasWIHevXvD0dERVVVV+PXXX4VtDenq6kJfXx87d+6EiYkJiouLhUSUF7FgwQK4u7tj48aNGDlyJKKionD69OkXqsPHxwd3795tcpbNSZMmYcOGDRg5ciQ+++wzdOnSBUVFRYiMjMSSJUvQpUsXLFy4EOvWrcOpU6cQHR2N7t27y0w+lJubi9jYWDx8+BDh4eGwtLREXFwcxo8fD2VlZXTq1Ak2Njb4+eefcfHiRejq6uKrr77C7du3pSZosrS0RGJiIgoLC4VhOA0FBwejb9++WL16Nfz8/JCQkIBvv/0W27dvx1tvvSUzVKejUVFREe6YHzywXyrlRVtbW0juaViWMcYYYy3ntbqjDqDFp03X0NDA8ePHkZGRARcXFyxbtgzr169/7n56eno4ePAgTp48CScnJ3z//fcICQl55faEhYVhypQpCA4Ohp2dHUaNGoXk5GThbmVtbS0CAwNhb28PHx8f2NraYvv27QDq7vQuXboUzs7OGDhwIOTl5REREdHoceTk5BAREYGUlBT06NEDH330ETZs2PDC7f3HP/6BXbt2YcuWLejZsyfOnDmD5cuXv1AdIpEInTp1EiIdG1JTU0NcXBzMzc3x3nvvwd7eXhgqI/ksBAcHY/Lkybhw4QJEIhEKCgrg6+sr1FFZWYk7d+5AU1NTWPfZZ5+hsLAQ3bp1E4bQLF++HK6urvD29oanpyeMjY1lZqJdvHgx5OXl4eDgAAMDA5kx/UDdXwF+/PFHREREoEePHlixYgU+++wzTJ06FUpKSjA2Nm5yzLxYLO4Qd9vT0tIwZcoU/Pnnn7C1tRVe9TvpjDHGGGtFbfNsK2NtQ5IS1KNHDzp48KCw/tChQ+Ts7CyVElRbW0tr1qwhS0tLUlFRIWdnZ/rpp5+EfSRJLqdPn6ZevXqRiooKeXl50e3bt+nkyZPUvXt30tTUpAkTJlBFRYWwX2VlJc2fP58MDAxIWVmZ3N3dKSkpSaZeSUKMJEHo2LFjZG9vT/Ly8lRQUNCs99uaM5Nu2rSJPDw8aNOmTS1eN2OMMfa/7I1LfWHsRTQnd3/t2rXYv38/vvvuO2RlZeGjjz6Cv78/YmNjpcqFhITg22+/xcWLF1FSUoJx48Zh8+bNOHz4sPBQ79atW4XyS5YswZEjR7Bv3z6kpqbC2toa3t7euH//fpPtffz4MdavX4/du3cjKytLmGyqobbOUWeMMcZY++GOOnsj+fv748KFCygqKkJRURHi4+Ph7+8vbK+qqsKaNWuwd+9eeHt7w8rKClOnToW/vz927NghVZckDtPFxQUzZsxAbGwsQkND4eLiggEDBmDMmDGIjo4GUDeJVGhoKDZs2IBhw4bBwcEBu3btgqqqKvbs2dNke6urq4Xx63Z2dlBTU2u03Nq1a4UHaLW1tRudbIkxxhhjb4bX6mFSxpqrfu4+Ecnk7ufl5eHx48cYMmSI1H5Pnz6Fi4uL1Lr6OfJGRkZQU1ODlZWV1DrJzKX5+fmorq6WylBXVFREv379hAehG6OkpCR1nKYsXboUixYtEpb//vtv7qwzxhhjbyjuqLM31rNy98vL6/LAT5w4gc6dO0tta5hT3jBHvjVy+VVVVZs1IVNb5qhLJnV63uROjDHGGGsd3FFnbyxJ7r5IJJLJ3XdwcICysjKKi4vh4eHRYsfs1q0blJSUEB8fDwsLCwB1w1qSk5MRFBTUYseRoP8/6VZrjFU3NzdH9+7dYW5uzmPhGWOMsRYk+V6lBpNnNsQddfbGelbuvqamJhYvXoyPPvoIYrEY//znP/Ho0SPEx8dDS0sLAQEBL3VMdXV1zJ07Fx9//DH09PRgbm6OL7/8Eo8fP8aMGTNe+T01JJnFtTWHvzQcs88YY4yxllFWViY1iWBD3FFnb7RnZe6vXr0aBgYGWLt2LW7evAkdHR24urrik08+eaVjrlu3DmKxGJMnT0ZZWRn69OmDqKgo6OrqvlK9jTE1NUVJSQk0NTWbNXSmuSRj30tKSlp03gLW8vhavT74Wr0++Fq9Pl7Xa0VEKCsrg6mp6TPLieh599wZY/9z/v77b2hra+PRo0ev1T98/4v4Wr0++Fq9PvhavT7e9GvF8YyMMcYYY4x1QNxRZ4wxxhhjrAPijjpjTIaysjJWrlzZZlGQ7OXxtXp98LV6ffC1en286deKx6gzxhhjjDHWAfEddcYYY4wxxjog7qgzxhhjjDHWAXFHnTHGGGOMsQ6IO+qMMcYYY4x1QNxRZ4zJ2LZtGywtLaGiogI3NzckJSW1d5NYA3FxcfD19YWpqSlEIhF++eWX9m4Sa8LatWvRt29faGpqwtDQEKNGjUJOTk57N4s1IjQ0FM7OztDS0oKWlhb69++PU6dOtXez2HOsW7cOIpEIQUFB7d2UFscddcaYlB9++AGLFi3CypUrkZqaip49e8Lb2xt37txp76axeioqKtCzZ09s27atvZvCniM2NhaBgYG4dOkSzp49i+rqagwdOhQVFRXt3TTWQJcuXbBu3TqkpKTg8uXLePvttzFy5EhkZWW1d9NYE5KTk7Fjxw44Ozu3d1NaBcczMsakuLm5oW/fvvj2228BAGKxGGZmZpg/fz7+/e9/t3PrWGNEIhGOHj2KUaNGtXdTWDPcvXsXhoaGiI2NxcCBA9u7Oew59PT0sGHDBsyYMaO9m8IaKC8vh6urK7Zv347PP/8cvXr1wubNm9u7WS2K76gzxgRPnz5FSkoKBg8eLKyTk5PD4MGDkZCQ0I4tY+zN8ejRIwB1HUDWcdXW1iIiIgIVFRXo379/ezeHNSIwMBAjRoyQ+s560yi0dwMYYx3HX3/9hdraWhgZGUmtNzIywvXr19upVYy9OcRiMYKCguDu7o4ePXq0d3NYIzIyMtC/f39UVlZCQ0MDR48ehYODQ3s3izUQERGB1NRUJCcnt3dTWhV31BljjLE2EhgYiMzMTFy4cKG9m8KaYGdnh/T0dDx69Ag///wzAgICEBsby531DqSkpAQLFy7E2bNnoaKi0t7NaVXcUWeMCTp16gR5eXncvn1bav3t27dhbGzcTq1i7M3w4Ycf4tdff0VcXBy6dOnS3s1hTVBSUoK1tTUAoHfv3khOTsaWLVuwY8eOdm4Zk0hJScGdO3fg6uoqrKutrUVcXBy+/fZbVFVVQV5evh1b2HJ4jDpjTKCkpITevXvj3LlzwjqxWIxz587xGE3GXhIR4cMPP8TRo0fx3//+F127dm3vJrEXIBaLUVVV1d7NYPUMGjQIGRkZSE9PF159+vTBpEmTkJ6e/sZ00gG+o84Ya2DRokUICAhAnz590K9fP2zevBkVFRWYNm1aezeN1VNeXo68vDxhuaCgAOnp6dDT04O5uXk7tow1FBgYiMOHD+PYsWPQ1NTErVu3AADa2tpQVVVt59ax+pYuXYphw4bB3NwcZWVlOHz4MGJiYhAVFdXeTWP1aGpqyjzjoa6uDn19/Tfu2Q/uqDPGpPj5+eHu3btYsWIFbt26hV69euH06dMyD5iy9nX58mV4eXkJy4sWLQIABAQEIDw8vJ1axRoTGhoKAPD09JRaHxYWhqlTp7Z9g1iT7ty5gylTpqC0tBTa2tpwdnZGVFQUhgwZ0t5NY/+jOEedMcYYY4yxDojHqDPGGGOMMdYBcUedMcYYY4yxDog76owxxhhjjHVA3FFnjDHGGGOsA+KOOmOMMcYYYx0Qd9QZY4wxxhjrgLijzhhjjDHGWAfEHXXGGGPsDRcSEoJevXq1dzNe2ZvyPljHFxcXB19fX5iamkIkEuGXX3554TqICBs3boStrS2UlZXRuXNnfPHFFy9UB3fUGWOMtblbt25h/vz5sLKygrKyMszMzODr64tz58612DE8PT0RFBTUYvXV9yJf3NevX4dIJMKlS5ek1v/jH/+AiooKKisrhXWVlZVQUVHBnj17WrK5L6SjdIZftnPEWEuoqKhAz549sW3btpeuY+HChdi9ezc2btyI69ev4z//+Q/69ev3QnUovPTRGWOMsZdQWFgId3d36OjoYMOGDXByckJ1dTWioqIQGBiI69evt3cTW1T37t1hbGyMmJgY/OMf/wAAlJWVITU1FUZGRrh06RI8PT0BAAkJCaiqqsLbb7/9Useqrq6GoqJiSzWdsf9Zw4YNw7Bhw5rcXlVVhWXLluH777/Hw4cP0aNHD6xfv174fzk7OxuhoaHIzMyEnZ0dAKBr164v3A6+o84YY6xNzZs3DyKRCElJSXj//fdha2sLR0dHLFq0SLjrXFxcjJEjR0JDQwNaWloYN24cbt++LdQhuet74MABWFpaQltbG+PHj0dZWRkAYOrUqYiNjcWWLVsgEokgEolQWFgIAMjMzMSwYcOgoaEBIyMjTJ48GX/99ZdQt6enJxYsWIAlS5ZAT08PxsbGCAkJEbZbWloCAEaPHg2RSCQsP4uXlxdiYmKE5QsXLsDW1ha+vr5S62NiYmBhYSF8oYeGhqJbt25QUlKCnZ0dDhw4IFWvSCRCaGgo3n33Xairqwt/Vl+3bh2MjIygqamJGTNmSN21f1UlJSUYN24cdHR0oKenh5EjRwrnFqg796NGjcLGjRthYmICfX19BAYGorq6WihTWlqKESNGQFVVFV27dsXhw4dhaWmJzZs3A3j+OW7qujPWVj788EMkJCQgIiICV69exdixY+Hj44Pc3FwAwPHjx2FlZYVff/0VXbt2haWlJWbOnIn79++/0HG4o84YY6zN3L9/H6dPn0ZgYCDU1dVltuvo6EAsFmPkyJG4f/8+YmNjcfbsWdy8eRN+fn5SZfPz8/HLL7/g119/xa+//orY2FisW7cOALBlyxb0798fs2bNQmlpKUpLS2FmZoaHDx/i7bffhouLCy5fvozTp0/j9u3bGDdunFTd+/btg7q6OhITE/Hll1/is88+w9mzZwEAycnJAICwsDCUlpYKy8/i5eWFCxcuoKamBgAQHR0NT09PeHh4IDo6WigXHR0NLy8vAMDRo0excOFCBAcHIzMzE3PmzMG0adOkygN1v7SMHj0aGRkZmD59On788UeEhIRgzZo1uHz5MkxMTLB9+/bntrE5qqur4e3tDU1NTZw/fx7x8fHQ0NCAj48Pnj59KvU+8vPzER0djX379iE8PBzh4eHC9ilTpuDPP/9ETEwMjhw5gp07d+LOnTvC9med42ddd8baQnFxMcLCwvDTTz9hwIAB6NatGxYvXox//vOfCAsLAwDcvHkTRUVF+Omnn7B//36Eh4cjJSUFY8aMebGDEWOMMdZGEhMTCQBFRkY2WebMmTMkLy9PxcXFwrqsrCwCQElJSUREtHLlSlJTU6O///5bKPPxxx+Tm5ubsOzh4UELFy6Uqnv16tU0dOhQqXUlJSUEgHJycoT9/vnPf0qV6du3L/3rX/8SlgHQ0aNHm/emiSg3N5cA0MWLF4X6fvzxR/rzzz9JWVmZnjx5Qo8fPyZlZWXat28fERG99dZbNGvWLKl6xo4dS8OHD5dqR1BQkFSZ/v3707x586TWubm5Uc+ePZvV1pUrVzZZ9sCBA2RnZ0disVhYV1VVRaqqqhQVFUVERAEBAWRhYUE1NTVS7fbz8yMiouzsbAJAycnJwnbJ+fn666+l3lvDc9yc685YS2v4Wfz1118JAKmrq0u9FBQUaNy4cURENGvWLKl/V4iIUlJSCABdv3692cfmMeqMMcbaTN133rNlZ2fDzMwMZmZmwjoHBwfo6OggOzsbffv2BVA3PEJTU1MoY2JiInVXtjFXrlxBdHQ0NDQ0ZLbl5+fD1tYWAODs7Cy1rTl1P4u1tTW6dOmCmJgYODo6Ii0tDR4eHjA0NIS5uTkSEhJARKiqqhLuqGdnZ2P27NlS9bi7u2PLli1S6/r06SO1nJ2djQ8++EBqXf/+/WXuxL+MK1euIC8vT+q8A3UPwebn5wvLjo6OkJeXF5ZNTEyQkZEBAMjJyYGCggJcXV2F7dbW1tDV1W1WG17mujPWksrLyyEvL4+UlBSpzzkA4d8WExMTKCgoCP+mAIC9vT2AujvyknHrz8MddcYYY23GxsYGIpGoRR4YbfjQpEgkglgsfuY+5eXl8PX1xfr162W2mZiYvFLdz+Pp6Yno6Gg4OzvDxsYGhoaGACAMfyEiWFtbS/2C0hyNDSFqLeXl5ejduzcOHToks83AwED479Y4f21RN2PN4eLigtraWty5cwcDBgxotIy7uztqamqQn5+Pbt26AQBu3LgBALCwsGj2sXiMOmOMsTajp6cHb29vbNu2DRUVFTLbHz58CHt7e5SUlKCkpERYf+3aNTx8+BAODg7NPpaSkhJqa2ul1rm6uiIrKwuWlpawtraWer1Ih1dRUVGm7ufx8vLCxYsXcfbsWSEZAgAGDhyImJgYxMTECHfTgbq7b/Hx8VJ1xMfHP/cc2NvbIzExUWpdw2jIl+Xq6orc3FwYGhrKnD9tbe1m1WFnZ4eamhqkpaUJ6/Ly8vDgwQOpci9zjhlrKeXl5UhPT0d6ejoAoKCgAOnp6SguLoatrS0mTZqEKVOmIDIyEgUFBUhKSsLatWtx4sQJAMDgwYPh6uqK6dOnIy0tDSkpKZgzZw6GDBkidZf9ebijzhhjrE1t27YNtbW16NevH44cOYLc3FxkZ2fjm2++Qf/+/TF48GA4OTlh0qRJSE1NRVJSEqZMmQIPDw+ZYR7PYmlpicTERBQWFuKvv/6CWCxGYGAg7t+/jwkTJiA5ORn5+fmIiorCtGnTXqhTaGlpiXPnzuHWrVsyHcymeHl5oaKiAnv37oWHh4ew3sPDA4mJiUhKSpLqqH/88ccIDw9HaGgocnNz8dVXXyEyMhKLFy9+5nEWLlyIvXv3IiwsDDdu3MDKlSuRlZXV7PcGAE+ePBE6KZJXfn4+Jk2ahE6dOmHkyJE4f/48CgoKEBMTgwULFuD3339vVt3du3fH4MGDMXv2bCQlJSEtLQ2zZ8+GqqoqRCKRUO5lzjFjLeXy5ctwcXGBi4sLAGDRokVwcXHBihUrANQ96DxlyhQEBwfDzs4Oo0aNQnJyMszNzQEAcnJyOH78ODp16oSBAwdixIgRsLe3R0RExAu1gzvqjDHG2pSVlRVSU1Ph5eWF4OBg9OjRA0OGDMG5c+cQGhoKkUiEY8eOQVdXFwMHDsTgwYNhZWWFH3744YWOs3jxYsjLy8PBwQEGBgYoLi6Gqakp4uPjUVtbi6FDh8LJyQlBQUHQ0dGBnFzzvxI3bdqEs2fPwszMTPgif56uXbvCwsICZWVlUh11c3NzmJqa4unTp1J32keNGoUtW7Zg48aNcHR0xI4dOxAWFiZVpjF+fn749NNPsWTJEvTu3RtFRUWYO3dus98bUPcnekknRfKaM2cO1NTUEBcXB3Nzc7z33nuwt7cX4h+1tLSaXf/+/fthZGSEgQMHYvTo0Zg1axY0NTWhoqIilHmZc8xYS/H09AQRybwk6UWKiopYtWoVCgoK8PTpU/z555+IjIyEk5OTUIepqSmOHDmCsrIy3Lp1C2FhYdDT03uhdoioOU/2MMYYY4y1kt9//x1mZmb47bffMGjQoPZuDmMdBnfUGWOMMdam/vvf/6K8vBxOTk4oLS3FkiVL8Mcff+DGjRs8sypj9fDQF8YYY+wVOTo6QkNDo9FXYwkp7ampdmpoaOD8+fNt0obq6mp88skncHR0xOjRo2FgYICYmBjupDPWAN9RZ4wxxl5RUVERqqurG91mZGQkkzvenvLy8prc1rlzZ6iqqrZhaxhjz8IddcYYY4wxxjogHvrCGGOMMcZYB8QddcYYY4wxxjog7qgzxhhjjDHWAXFHnTHGGGOMsQ6IO+qMMcYYY4x1QNxRZ4wxxhhjrAPijjpjjDHGGGMdEHfUGWOMMcYY64D+Hxnc5zm6bllNAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "sns.boxplot(x='Content_Word_Length', y='Genre', data=df)\n",
    "plt.title('Word Length Distribution by Genre')\n",
    "plt.show()\n",
    "\n",
    "sns.boxplot(x='Content_Char_Length', y='Genre', data=df)\n",
    "plt.title('Character Length Distribution by Genre')\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "# from collections import Counter\n",
    "\n",
    "# # Assuming df['Content'] contains the book contents\n",
    "# word_freq = Counter(\" \".join(df[\"Content\"]).split())\n",
    "# most_common_words = word_freq.most_common(10)\n",
    "# least_common_words = word_freq.most_common()[:-11:-1]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 11332/11332 [07:38<00:00, 24.72it/s] \n"
     ]
    }
   ],
   "source": [
    "from tensorflow.keras.preprocessing.text import Tokenizer\n",
    "\n",
    "# Initialize the tokenizer for content\n",
    "tokenizer_content = Tokenizer()\n",
    "tokenizer_content.fit_on_texts(df['Content'])\n",
    "\n",
    "# Transform the text to sequences\n",
    "df['Tokenized_Content'] = df['Content'].progress_apply(lambda x: tokenizer_content.texts_to_sequences([x])[0])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 11332/11332 [00:00<00:00, 120903.26it/s]\n"
     ]
    }
   ],
   "source": [
    "# Initialize the tokenizer for titles\n",
    "tokenizer_title = Tokenizer()\n",
    "tokenizer_title.fit_on_texts(df['Title'])\n",
    "\n",
    "# Transform the titles to sequences\n",
    "df['Tokenized_Title'] = df['Title'].progress_apply(lambda x: tokenizer_title.texts_to_sequences([x])[0])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 11332/11332 [00:00<00:00, 163707.50it/s]\n",
      "100%|██████████| 11332/11332 [00:00<00:00, 149980.92it/s]\n"
     ]
    }
   ],
   "source": [
    "# Initialize the tokenizer for genre\n",
    "tokenizer_genre = Tokenizer()\n",
    "tokenizer_genre.fit_on_texts(df['Genre'])\n",
    "\n",
    "# Transform the genre to sequences\n",
    "df['Tokenized_Genre'] = df['Genre'].progress_apply(lambda x: tokenizer_genre.texts_to_sequences([x])[0][0])  # Taking the first element as it will be a single integer\n",
    "\n",
    "# Initialize the tokenizer for language\n",
    "tokenizer_language = Tokenizer()\n",
    "tokenizer_language.fit_on_texts(df['Language'])\n",
    "\n",
    "# Transform the language to sequences\n",
    "df['Tokenized_Language'] = df['Language'].progress_apply(lambda x: tokenizer_language.texts_to_sequences([x])[0][0])  # Taking the first element as it will be a single integer\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pickle\n",
    "\n",
    "# Save Tokenized Content, Title, Genre, and Language\n",
    "with open('C:/Users/RohanRVC/Documents/Business/E-books/E_Books_Unknown_AI/LSTM/Token_df_list/Tokenized_Content.pkl', 'wb') as f:\n",
    "    pickle.dump(df['Tokenized_Content'].tolist(), f)\n",
    "\n",
    "with open('C:/Users/RohanRVC/Documents/Business/E-books/E_Books_Unknown_AI/LSTM/Token_df_list/Tokenized_Title.pkl', 'wb') as f:\n",
    "    pickle.dump(df['Tokenized_Title'].tolist(), f)\n",
    "\n",
    "with open('C:/Users/RohanRVC/Documents/Business/E-books/E_Books_Unknown_AI/LSTM/Token_df_list/Tokenized_Genre.pkl', 'wb') as f:\n",
    "    pickle.dump(df['Tokenized_Genre'].tolist(), f)\n",
    "\n",
    "with open('C:/Users/RohanRVC/Documents/Business/E-books/E_Books_Unknown_AI/LSTM/Token_df_list/Tokenized_Language.pkl', 'wb') as f:\n",
    "    pickle.dump(df['Tokenized_Language'].tolist(), f)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Title</th>\n",
       "      <th>Genre</th>\n",
       "      <th>Content</th>\n",
       "      <th>Language</th>\n",
       "      <th>Content_Char_Length</th>\n",
       "      <th>Content_Word_Length</th>\n",
       "      <th>Tokenized_Content</th>\n",
       "      <th>Tokenized_Title</th>\n",
       "      <th>Tokenized_Genre</th>\n",
       "      <th>Tokenized_Language</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>The Declaration of Independence of the United ...</td>\n",
       "      <td>History</td>\n",
       "      <td>All of the original files are included in the ...</td>\n",
       "      <td>English</td>\n",
       "      <td>16830</td>\n",
       "      <td>2803</td>\n",
       "      <td>[32, 2, 1, 1024, 12646, 36, 3338, 6, 1, 103, 6...</td>\n",
       "      <td>[1, 1657, 2, 815, 2, 1, 90, 88, 2, 120]</td>\n",
       "      <td>10</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>The King James Version of the Bible</td>\n",
       "      <td>Religion and Spirituality</td>\n",
       "      <td>Exodus The Third Book of Moses: Called Levitic...</td>\n",
       "      <td>English</td>\n",
       "      <td>4139636</td>\n",
       "      <td>789956</td>\n",
       "      <td>[17077, 1, 633, 378, 2, 3478, 194, 41795, 1, 1...</td>\n",
       "      <td>[1, 114, 310, 1463, 2, 1, 571]</td>\n",
       "      <td>16</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>The Complete Works of William Shakespeare</td>\n",
       "      <td>Drama and Performing Arts</td>\n",
       "      <td>William Shakespeare Contents THE SONNETS ALL’S...</td>\n",
       "      <td>English</td>\n",
       "      <td>5287942</td>\n",
       "      <td>972334</td>\n",
       "      <td>[622, 3559, 2375, 1, 12208, 48650, 92, 7, 1971...</td>\n",
       "      <td>[1, 166, 54, 2, 118, 690]</td>\n",
       "      <td>26</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>The Magna Carta</td>\n",
       "      <td>Linguistics and Languages</td>\n",
       "      <td>preparer of the 0.1 version. some of which wer...</td>\n",
       "      <td>English</td>\n",
       "      <td>79272</td>\n",
       "      <td>14377</td>\n",
       "      <td>[153097, 2, 1, 632, 183, 4687, 62, 2, 26, 34, ...</td>\n",
       "      <td>[1, 5743, 5744]</td>\n",
       "      <td>13</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Apocolocyntosis</td>\n",
       "      <td>Religion and Spirituality</td>\n",
       "      <td>H. D. Rouse Release date : November 1, ROUSE, ...</td>\n",
       "      <td>English</td>\n",
       "      <td>29568</td>\n",
       "      <td>5544</td>\n",
       "      <td>[625, 626, 8331, 4746, 1614, 2091, 183, 8331, ...</td>\n",
       "      <td>[5745]</td>\n",
       "      <td>16</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11340</th>\n",
       "      <td>A Biographical Sketch of the Life and Characte...</td>\n",
       "      <td>Other</td>\n",
       "      <td>Produced by John Young Le Bourgeois A BIOGRAPH...</td>\n",
       "      <td>English</td>\n",
       "      <td>256895</td>\n",
       "      <td>46405</td>\n",
       "      <td>[1064, 22, 300, 166, 1249, 14376, 5, 14238, 41...</td>\n",
       "      <td>[4, 821, 337, 2, 1, 15, 3, 265, 2, 2123, 13446...</td>\n",
       "      <td>19</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11341</th>\n",
       "      <td>Rub iy t of Omar Khayy m, and Sal m n and Abs ...</td>\n",
       "      <td>Linguistics and Languages</td>\n",
       "      <td>by Edward FitzGerald. no cost and with almost ...</td>\n",
       "      <td>English</td>\n",
       "      <td>117527</td>\n",
       "      <td>21184</td>\n",
       "      <td>[22, 1382, 11047, 45, 1450, 3, 14, 243, 45, 98...</td>\n",
       "      <td>[13448, 13449, 957, 2, 13450, 13451, 344, 3, 1...</td>\n",
       "      <td>13</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11342</th>\n",
       "      <td>Jane Austen, Her Life and Letters: A Family Re...</td>\n",
       "      <td>History</td>\n",
       "      <td>Chapter I AUSTENS AND LEIGHS 1600-1764 At the ...</td>\n",
       "      <td>English</td>\n",
       "      <td>749846</td>\n",
       "      <td>135954</td>\n",
       "      <td>[346, 10, 89284, 3, 147364, 19815, 24513, 23, ...</td>\n",
       "      <td>[1083, 5412, 168, 15, 3, 60, 4, 423, 432]</td>\n",
       "      <td>10</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11343</th>\n",
       "      <td>Mr  Dooley in Peace and in War</td>\n",
       "      <td>Comics and Graphic Novels</td>\n",
       "      <td>Graeme Mackreth, DOOLEY In Peace and in War Bo...</td>\n",
       "      <td>English</td>\n",
       "      <td>238352</td>\n",
       "      <td>44090</td>\n",
       "      <td>[33078, 301872, 32454, 6, 533, 3, 6, 256, 2168...</td>\n",
       "      <td>[203, 3355, 5, 419, 3, 5, 38]</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11344</th>\n",
       "      <td>The Devil's Asteroid</td>\n",
       "      <td>Science Fiction</td>\n",
       "      <td>Extensive research did not uncover any evidenc...</td>\n",
       "      <td>English</td>\n",
       "      <td>57071</td>\n",
       "      <td>9880</td>\n",
       "      <td>[3480, 6096, 86, 20, 26380, 76, 1086, 7, 1, 16...</td>\n",
       "      <td>[1, 1767, 4109]</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>11332 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                   Title  \\\n",
       "0      The Declaration of Independence of the United ...   \n",
       "1                    The King James Version of the Bible   \n",
       "2              The Complete Works of William Shakespeare   \n",
       "3                                        The Magna Carta   \n",
       "4                                        Apocolocyntosis   \n",
       "...                                                  ...   \n",
       "11340  A Biographical Sketch of the Life and Characte...   \n",
       "11341  Rub iy t of Omar Khayy m, and Sal m n and Abs ...   \n",
       "11342  Jane Austen, Her Life and Letters: A Family Re...   \n",
       "11343                     Mr  Dooley in Peace and in War   \n",
       "11344                               The Devil's Asteroid   \n",
       "\n",
       "                           Genre  \\\n",
       "0                        History   \n",
       "1      Religion and Spirituality   \n",
       "2      Drama and Performing Arts   \n",
       "3      Linguistics and Languages   \n",
       "4      Religion and Spirituality   \n",
       "...                          ...   \n",
       "11340                      Other   \n",
       "11341  Linguistics and Languages   \n",
       "11342                    History   \n",
       "11343  Comics and Graphic Novels   \n",
       "11344            Science Fiction   \n",
       "\n",
       "                                                 Content Language  \\\n",
       "0      All of the original files are included in the ...  English   \n",
       "1      Exodus The Third Book of Moses: Called Levitic...  English   \n",
       "2      William Shakespeare Contents THE SONNETS ALL’S...  English   \n",
       "3      preparer of the 0.1 version. some of which wer...  English   \n",
       "4      H. D. Rouse Release date : November 1, ROUSE, ...  English   \n",
       "...                                                  ...      ...   \n",
       "11340  Produced by John Young Le Bourgeois A BIOGRAPH...  English   \n",
       "11341  by Edward FitzGerald. no cost and with almost ...  English   \n",
       "11342  Chapter I AUSTENS AND LEIGHS 1600-1764 At the ...  English   \n",
       "11343  Graeme Mackreth, DOOLEY In Peace and in War Bo...  English   \n",
       "11344  Extensive research did not uncover any evidenc...  English   \n",
       "\n",
       "       Content_Char_Length  Content_Word_Length  \\\n",
       "0                    16830                 2803   \n",
       "1                  4139636               789956   \n",
       "2                  5287942               972334   \n",
       "3                    79272                14377   \n",
       "4                    29568                 5544   \n",
       "...                    ...                  ...   \n",
       "11340               256895                46405   \n",
       "11341               117527                21184   \n",
       "11342               749846               135954   \n",
       "11343               238352                44090   \n",
       "11344                57071                 9880   \n",
       "\n",
       "                                       Tokenized_Content  \\\n",
       "0      [32, 2, 1, 1024, 12646, 36, 3338, 6, 1, 103, 6...   \n",
       "1      [17077, 1, 633, 378, 2, 3478, 194, 41795, 1, 1...   \n",
       "2      [622, 3559, 2375, 1, 12208, 48650, 92, 7, 1971...   \n",
       "3      [153097, 2, 1, 632, 183, 4687, 62, 2, 26, 34, ...   \n",
       "4      [625, 626, 8331, 4746, 1614, 2091, 183, 8331, ...   \n",
       "...                                                  ...   \n",
       "11340  [1064, 22, 300, 166, 1249, 14376, 5, 14238, 41...   \n",
       "11341  [22, 1382, 11047, 45, 1450, 3, 14, 243, 45, 98...   \n",
       "11342  [346, 10, 89284, 3, 147364, 19815, 24513, 23, ...   \n",
       "11343  [33078, 301872, 32454, 6, 533, 3, 6, 256, 2168...   \n",
       "11344  [3480, 6096, 86, 20, 26380, 76, 1086, 7, 1, 16...   \n",
       "\n",
       "                                         Tokenized_Title  Tokenized_Genre  \\\n",
       "0                [1, 1657, 2, 815, 2, 1, 90, 88, 2, 120]               10   \n",
       "1                         [1, 114, 310, 1463, 2, 1, 571]               16   \n",
       "2                              [1, 166, 54, 2, 118, 690]               26   \n",
       "3                                        [1, 5743, 5744]               13   \n",
       "4                                                 [5745]               16   \n",
       "...                                                  ...              ...   \n",
       "11340  [4, 821, 337, 2, 1, 15, 3, 265, 2, 2123, 13446...               19   \n",
       "11341  [13448, 13449, 957, 2, 13450, 13451, 344, 3, 1...               13   \n",
       "11342          [1083, 5412, 168, 15, 3, 60, 4, 423, 432]               10   \n",
       "11343                      [203, 3355, 5, 419, 3, 5, 38]                4   \n",
       "11344                                    [1, 1767, 4109]                3   \n",
       "\n",
       "       Tokenized_Language  \n",
       "0                       1  \n",
       "1                       1  \n",
       "2                       1  \n",
       "3                       1  \n",
       "4                       1  \n",
       "...                   ...  \n",
       "11340                   1  \n",
       "11341                   1  \n",
       "11342                   1  \n",
       "11343                   1  \n",
       "11344                   1  \n",
       "\n",
       "[11332 rows x 10 columns]"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Update Tokenizer\n",
    "* If you want to include new tokens from the additional dataset, you can update the existing tokenizer. Make sure to retrain your model if the vocabulary size changes.\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Update the tokenizer with new data\n",
    "loaded_tokenizer.fit_on_texts(new_data)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#  Reserve Tokens for Future Use\n",
    "* You can reserve a set of token IDs for words that might appear in future datasets. This way, you can extend your tokenizer without affecting the existing tokens.\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Initialize tokenizer with num_words reduced by the number of reserved tokens\n",
    "tokenizer = Tokenizer(num_words=(vocab_size - num_reserved_tokens))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n",
      "KeyboardInterrupt\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# Create a list to store sequences\n",
    "content_sequences = []\n",
    "\n",
    "# Loop through each row in the DataFrame\n",
    "for index, row in df.iterrows():\n",
    "    tokenized_content = row['Tokenized_Content']\n",
    "    for i in range(1, len(tokenized_content)):\n",
    "        sequence = tokenized_content[max(0, i - 5):i+1]\n",
    "        content_sequences.append(sequence)\n",
    "\n",
    "# Now, content_sequences contains all the sequences\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "location='C:/Users/RohanRVC/Documents/Business/E-books/E_Books_Unknown_AI/LSTM/Token/token_1'\n",
    "import pickle\n",
    "\n",
    "# Save tokenizer for 'Content'\n",
    "with open(f'{location}/tokenizer_content.pickle', 'wb') as handle:\n",
    "    pickle.dump(tokenizer_content, handle, protocol=pickle.HIGHEST_PROTOCOL)\n",
    "\n",
    "# Save tokenizer for 'Title'\n",
    "with open(f'{location}/tokenizer_title.pickle', 'wb') as handle:\n",
    "    pickle.dump(tokenizer_title, handle, protocol=pickle.HIGHEST_PROTOCOL)\n",
    "\n",
    "# Save tokenizer for 'Genre'\n",
    "with open(f'{location}/tokenizer_genre.pickle', 'wb') as handle:\n",
    "    pickle.dump(tokenizer_genre, handle, protocol=pickle.HIGHEST_PROTOCOL)\n",
    "\n",
    "# Save tokenizer for 'Language'\n",
    "with open(f'{location}/tokenizer_language.pickle', 'wb') as handle:\n",
    "    pickle.dump(tokenizer_language, handle, protocol=pickle.HIGHEST_PROTOCOL)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{1: 'and',\n",
       " 2: 'fiction',\n",
       " 3: 'science',\n",
       " 4: 'comics',\n",
       " 5: 'graphic',\n",
       " 6: 'novels',\n",
       " 7: 'contemporary',\n",
       " 8: 'literature',\n",
       " 9: 'poetry',\n",
       " 10: 'history',\n",
       " 11: 'mythology',\n",
       " 12: 'folklore',\n",
       " 13: 'linguistics',\n",
       " 14: 'languages',\n",
       " 15: 'historical',\n",
       " 16: 'religion',\n",
       " 17: 'spirituality',\n",
       " 18: 'books',\n",
       " 19: 'other',\n",
       " 20: 'travel',\n",
       " 21: 'social',\n",
       " 22: 'essays',\n",
       " 23: 'literary',\n",
       " 24: 'criticism',\n",
       " 25: 'biography',\n",
       " 26: 'drama',\n",
       " 27: 'performing',\n",
       " 28: 'arts',\n",
       " 29: \"children's\",\n",
       " 30: 'picture',\n",
       " 31: 'political',\n",
       " 32: 'justice',\n",
       " 33: 'activism',\n",
       " 34: 'mystery',\n",
       " 35: 'nature',\n",
       " 36: 'gardening',\n",
       " 37: 'horticulture',\n",
       " 38: 'romance',\n",
       " 39: 'cultural',\n",
       " 40: 'ethnic',\n",
       " 41: 'studies',\n",
       " 42: 'true',\n",
       " 43: 'crime',\n",
       " 44: 'young',\n",
       " 45: 'adult',\n",
       " 46: 'technology',\n",
       " 47: 'education',\n",
       " 48: 'philosophy',\n",
       " 49: 'reference',\n",
       " 50: 'horror',\n",
       " 51: 'art',\n",
       " 52: 'photography',\n",
       " 53: 'fantasy',\n",
       " 54: 'food',\n",
       " 55: 'cooking',\n",
       " 56: 'fashion',\n",
       " 57: 'style',\n",
       " 58: 'parenting',\n",
       " 59: 'family',\n",
       " 60: 'environment',\n",
       " 61: 'health',\n",
       " 62: 'fitness',\n",
       " 63: 'psychology',\n",
       " 64: 'sports',\n",
       " 65: 'recreation',\n",
       " 66: 'of',\n",
       " 67: 'mind',\n",
       " 68: 'mindfulness',\n",
       " 69: 'meditation',\n",
       " 70: 'business',\n",
       " 71: 'finance',\n",
       " 72: 'thriller',\n",
       " 73: 'journalism',\n",
       " 74: 'media',\n",
       " 75: 'autobiography',\n",
       " 76: 'memoir'}"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tokenizer_genre.index_word"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pickle\n",
    "location='C:/Users/RohanRVC/Documents/Business/E-books/E_Books_Unknown_AI/LSTM/Token/token_1'\n",
    "\n",
    "# Load tokenizers\n",
    "with open(f'{location}/tokenizer_content.pickle', 'rb') as handle:\n",
    "    loaded_tokenizer_content = pickle.load(handle)\n",
    "\n",
    "with open(f'{location}/tokenizer_title.pickle', 'rb') as handle:\n",
    "    loaded_tokenizer_title = pickle.load(handle)\n",
    "\n",
    "with open(f'{location}/tokenizer_genre.pickle', 'rb') as handle:\n",
    "    loaded_tokenizer_genre = pickle.load(handle)\n",
    "\n",
    "with open(f'{location}/tokenizer_language.pickle', 'rb') as handle:\n",
    "    loaded_tokenizer_language = pickle.load(handle)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Sequence Modeling using LSTMs\n",
    "* **Inputs**: Your model takes four different kinds of inputs: content, title, genre, and language. Each of these inputs goes through different processing layers.\n",
    "\n",
    "* **Embedding Layers**: The content and title inputs are passed through Embedding layers, converting them to dense vectors of fixed size (64 dimensions in this case).\n",
    "\n",
    "* **LSTM Layers**: After embedding, both the content and title are processed by LSTM layers with 128 units. This should allow the model to capture sequential dependencies in both the content and title.\n",
    "\n",
    "* **Concatenation**: The outputs of the LSTM layers are then concatenated with the genre and language inputs. This creates a combined feature vector that includes information from all four inputs.\n",
    "\n",
    "* **Dense Layers**: The concatenated features are then processed by Dense layers for final prediction.\n",
    "\n",
    "* **Output**: The output layer uses a softmax activation function, suggesting that you're treating this as a multi-class classification problem.\n",
    "\n",
    "* **Optimization**: The model is compiled using the Adam optimizer and categorical cross-entropy loss function, which is typical for multi-class classification problems."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "from tensorflow.keras.models import Model\n",
    "from tensorflow.keras.layers import Embedding, LSTM, Dense, Concatenate, Input\n",
    "from tensorflow.keras.callbacks import EarlyStopping, ModelCheckpoint, Callback\n",
    "\n",
    "# Custom callback for epoch logging\n",
    "class EpochCallback(Callback):\n",
    "    def on_epoch_begin(self, epoch, logs=None):\n",
    "        print(f\"Starting Epoch {epoch + 1}\")\n",
    "\n",
    "# Define inputs\n",
    "input_content = Input(shape=(None,), name='content')\n",
    "input_title = Input(shape=(None,), name='title')\n",
    "input_genre = Input(shape=(1,), name='genre')\n",
    "input_language = Input(shape=(1,), name='language')\n",
    "\n",
    "# Hyperparameters\n",
    "vocab_size_content = len(tokenizer_content.word_index) + 1  # +1 for padding token\n",
    "vocab_size_title = len(tokenizer_title.word_index) + 1  # +1 for padding token\n",
    "embedding_dim = 64  # Can be experimented with\n",
    "lstm_units = 128  # Can be experimented with\n",
    "\n",
    "# Embedding layers for 'Content' and 'Title'\n",
    "embedding_content = Embedding(input_dim=vocab_size_content, output_dim=embedding_dim)(input_content)\n",
    "embedding_title = Embedding(input_dim=vocab_size_title, output_dim=embedding_dim)(input_title)\n",
    "\n",
    "# LSTM layers for 'Content' and 'Title'\n",
    "lstm_content = LSTM(lstm_units)(embedding_content)  # Tanh is the default activation\n",
    "lstm_title = LSTM(lstm_units)(embedding_title)  # Tanh is the default activation\n",
    "\n",
    "# Combine all inputs\n",
    "concat = Concatenate()([lstm_content, lstm_title, input_genre, input_language])\n",
    "\n",
    "# Dense layers for final prediction\n",
    "output = Dense(128, activation='relu')(concat)  # Using ReLU activation\n",
    "output = Dense(vocab_size_content, activation='softmax')(output)  # Using Softmax activation for output\n",
    "\n",
    "# Compile the model\n",
    "model = Model(inputs=[input_content, input_title, input_genre, input_language], outputs=output)\n",
    "model.compile(optimizer='adam', loss='categorical_crossentropy', metrics=['accuracy'])  # Accuracy as a metric\n",
    "\n",
    "# Initialize EarlyStopping and ModelCheckpoint\n",
    "\n",
    "# List of callbacks\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Convert the tokenized sequences from DataFrame columns to lists\n",
    "X_content = df['Tokenized_Content'].tolist()\n",
    "X_title = df['Tokenized_Title'].tolist()\n",
    "X_genre = df['Tokenized_Genre'].tolist()\n",
    "X_language = df['Tokenized_Language'].tolist()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "\n",
    "# Splitting the data into training and validation sets with stratification on 'Genre'\n",
    "X_content_train, X_content_val, X_genre_train, X_genre_val = train_test_split(\n",
    "    X_content, X_genre, test_size=0.2, random_state=42, stratify=X_genre\n",
    ")\n",
    "X_title_train, X_title_val = train_test_split(\n",
    "    X_title, test_size=0.2, random_state=42, stratify=X_genre\n",
    ")\n",
    "X_language_train, X_language_val = train_test_split(\n",
    "    X_language, test_size=0.2, random_state=42, stratify=X_genre\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* **epochs** specifies the number of times the learning algorithm will work through the entire training dataset. You can adjust this number based on your observation of the model's performance.\n",
    "* **batch_size** is the number of samples per gradient update for training the model. Again, you can adjust this based on your specific needs or limitations.\n",
    "* **validation_data** is the data on which to evaluate the loss and any model metrics at the end of each epoch.\n",
    "\n",
    "* The **fit** method will return a History object that contains all information collected during training. You can use this to plot training and validation accuracy and loss, which can give you insights into overfitting or underfitting, among other things.\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Unexpected exception formatting exception. Falling back to standard exception\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Traceback (most recent call last):\n",
      "  File \"c:\\Users\\RohanRVC\\Documents\\Business\\E-books\\E_Books_Unknown_AI\\Book\\Lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 3526, in run_code\n",
      "    exec(code_obj, self.user_global_ns, self.user_ns)\n",
      "  File \"C:\\Users\\RohanRVC\\AppData\\Local\\Temp\\ipykernel_22308\\1049133763.py\", line 24, in <module>\n",
      "    model.fit(\n",
      "  File \"c:\\Users\\RohanRVC\\Documents\\Business\\E-books\\E_Books_Unknown_AI\\Book\\Lib\\site-packages\\keras\\src\\utils\\traceback_utils.py\", line 70, in error_handler\n",
      "    raise e.with_traceback(filtered_tb) from None\n",
      "  File \"c:\\Users\\RohanRVC\\Documents\\Business\\E-books\\E_Books_Unknown_AI\\Book\\Lib\\site-packages\\keras\\src\\engine\\data_adapter.py\", line 1766, in train_validation_split\n",
      "    raise ValueError(\n"
     ]
    }
   ],
   "source": [
    "from tqdm import tqdm\n",
    "from tensorflow.keras.callbacks import Callback\n",
    "\n",
    "class ProgressBarCallback(Callback):\n",
    "    def on_epoch_begin(self, epoch, logs=None):\n",
    "        self.epochs = self.params['epochs']\n",
    "        self.epoch_progress_bar = tqdm(total=self.params['steps'], position=0, desc=f\"Epoch {epoch + 1}/{self.epochs}\")\n",
    "\n",
    "    def on_epoch_end(self, epoch, logs=None):\n",
    "        print(f\"Epoch {epoch + 1}/{self.epochs} completed.\")\n",
    "        self.epoch_progress_bar.n = 0\n",
    "        self.epoch_progress_bar.last_print_n = 0\n",
    "        self.epoch_progress_bar.refresh()\n",
    "\n",
    "    def on_train_batch_end(self, batch, logs=None):\n",
    "        self.epoch_progress_bar.update(1)\n",
    "\n",
    "\n",
    "early_stopping = EarlyStopping(monitor='val_loss', patience=3, restore_best_weights=True)\n",
    "model_checkpoint = ModelCheckpoint(\"C:/Users/RohanRVC/Documents/Business/E-books/E_Books_Unknown_AI/LSTM/Model/model_1/best_model.keras\", monitor='val_loss', save_best_only=True)\n",
    "  \n",
    "callbacks_list = [ProgressBarCallback(), early_stopping, model_checkpoint]\n",
    "\n",
    "model.fit(\n",
    "    [X_content_train, X_title_train, X_genre_train, X_language_train],\n",
    "    epochs=50,\n",
    "    batch_size=32,\n",
    "    validation_split=0.2,\n",
    "    callbacks=callbacks_list,\n",
    "    verbose=1\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "model.save('C:/Users/RohanRVC/Documents/Business/E-books/E_Books_Unknown_AI/LSTM/Model/model_1/Main_model.keras')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.Tokenized_Title.isna().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1/1 [==============================] - 2s 2s/step\n"
     ]
    }
   ],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The predicted next word is: summot\n"
     ]
    }
   ],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\Users\\RohanRVC\\Documents\\Business\\E-books\\E_Books_Unknown_AI\\Book\\Lib\\site-packages\\tqdm\\auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
      "  from .autonotebook import tqdm as notebook_tqdm\n",
      "0epoch [00:00, ?epoch/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Unexpected exception formatting exception. Falling back to standard exception\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Traceback (most recent call last):\n",
      "  File \"c:\\Users\\RohanRVC\\Documents\\Business\\E-books\\E_Books_Unknown_AI\\Book\\Lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 3526, in run_code\n",
      "    exec(code_obj, self.user_global_ns, self.user_ns)\n",
      "  File \"C:\\Users\\RohanRVC\\AppData\\Local\\Temp\\ipykernel_22308\\2463493437.py\", line 37, in <module>\n",
      "    model.fit(\n",
      "  File \"c:\\Users\\RohanRVC\\Documents\\Business\\E-books\\E_Books_Unknown_AI\\Book\\Lib\\site-packages\\keras\\src\\utils\\traceback_utils.py\", line 70, in error_handler\n",
      "    raise e.with_traceback(filtered_tb) from None\n",
      "  File \"c:\\Users\\RohanRVC\\Documents\\Business\\E-books\\E_Books_Unknown_AI\\Book\\Lib\\site-packages\\keras\\src\\engine\\data_adapter.py\", line 1766, in train_validation_split\n",
      "    raise ValueError(\n"
     ]
    }
   ],
   "source": [
    "from tensorflow.keras.models import Model\n",
    "from tensorflow.keras.layers import Embedding, LSTM, Dense, Concatenate, Input\n",
    "from tensorflow.keras.callbacks import EarlyStopping, ModelCheckpoint\n",
    "from tqdm.keras import TqdmCallback\n",
    "\n",
    "# Assuming you've already tokenized and prepared your data as X_content_train, X_title_train, etc.\n",
    "\n",
    "# Define the inputs\n",
    "input_content = Input(shape=(None,), name='content')\n",
    "input_title = Input(shape=(None,), name='title')\n",
    "input_genre = Input(shape=(1,), name='genre')\n",
    "input_language = Input(shape=(1,), name='language')\n",
    "\n",
    "# Embedding and LSTM layers\n",
    "embedding_content = Embedding(input_dim=vocab_size_content, output_dim=64)(input_content)\n",
    "embedding_title = Embedding(input_dim=vocab_size_title, output_dim=64)(input_title)\n",
    "lstm_content = LSTM(128)(embedding_content)\n",
    "lstm_title = LSTM(128)(embedding_title)\n",
    "\n",
    "# Combine all inputs\n",
    "concat = Concatenate()([lstm_content, lstm_title, input_genre, input_language])\n",
    "\n",
    "# Dense layers for final prediction\n",
    "output = Dense(128, activation='relu')(concat)\n",
    "output = Dense(vocab_size_content, activation='softmax')(output)\n",
    "\n",
    "# Compile the model\n",
    "model = Model(inputs=[input_content, input_title, input_genre, input_language], outputs=output)\n",
    "model.compile(optimizer='adam', loss='categorical_crossentropy', metrics=['accuracy'])\n",
    "\n",
    "# Callbacks\n",
    "early_stopping = EarlyStopping(monitor='val_loss', patience=3, restore_best_weights=True)\n",
    "model_checkpoint = ModelCheckpoint(\"best_model.h5\", monitor='val_loss', save_best_only=True)\n",
    "progress_bar = TqdmCallback(verbose=1)\n",
    "\n",
    "# Train the model\n",
    "model.fit(\n",
    "    [X_content_train, X_title_train, X_genre_train, X_language_train],\n",
    "    epochs=50,\n",
    "    batch_size=32,\n",
    "    validation_split=0.2,\n",
    "    callbacks=[early_stopping, model_checkpoint, progress_bar],\n",
    "    verbose=0  # Set verbose to 0 to disable standard progress bar, since we are using TqdmCallback\n",
    ")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(9065, 9065, 9065, 9065)"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(X_content_train),len(X_title_train),len(X_genre_train),len(X_language_train)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "ename": "AttributeError",
     "evalue": "'list' object has no attribute 'shape'",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
      "\u001b[1;32mc:\\Users\\RohanRVC\\Documents\\Business\\E-books\\E_Books_Unknown_AI\\03.1_MT_2.ipynb Cell 47\u001b[0m line \u001b[0;36m1\n\u001b[1;32m----> <a href='vscode-notebook-cell:/c%3A/Users/RohanRVC/Documents/Business/E-books/E_Books_Unknown_AI/03.1_MT_2.ipynb#X64sZmlsZQ%3D%3D?line=0'>1</a>\u001b[0m X_content\u001b[39m.\u001b[39;49mshape\n",
      "\u001b[1;31mAttributeError\u001b[0m: 'list' object has no attribute 'shape'"
     ]
    }
   ],
   "source": [
    "X_content"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "ename": "ValueError",
     "evalue": "setting an array element with a sequence. The requested array has an inhomogeneous shape after 1 dimensions. The detected shape was (9065,) + inhomogeneous part.",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mValueError\u001b[0m                                Traceback (most recent call last)",
      "\u001b[1;32mc:\\Users\\RohanRVC\\Documents\\Business\\E-books\\E_Books_Unknown_AI\\03.1_MT_2.ipynb Cell 48\u001b[0m line \u001b[0;36m1\n\u001b[1;32m----> <a href='vscode-notebook-cell:/c%3A/Users/RohanRVC/Documents/Business/E-books/E_Books_Unknown_AI/03.1_MT_2.ipynb#X65sZmlsZQ%3D%3D?line=0'>1</a>\u001b[0m \u001b[39mprint\u001b[39m(np\u001b[39m.\u001b[39many(np\u001b[39m.\u001b[39;49misnan(X_content_train)))\n\u001b[0;32m      <a href='vscode-notebook-cell:/c%3A/Users/RohanRVC/Documents/Business/E-books/E_Books_Unknown_AI/03.1_MT_2.ipynb#X65sZmlsZQ%3D%3D?line=1'>2</a>\u001b[0m \u001b[39mprint\u001b[39m(np\u001b[39m.\u001b[39many(np\u001b[39m.\u001b[39misnan(X_title_train)))\n\u001b[0;32m      <a href='vscode-notebook-cell:/c%3A/Users/RohanRVC/Documents/Business/E-books/E_Books_Unknown_AI/03.1_MT_2.ipynb#X65sZmlsZQ%3D%3D?line=2'>3</a>\u001b[0m \u001b[39m# ...and so on for other arrays\u001b[39;00m\n",
      "\u001b[1;31mValueError\u001b[0m: setting an array element with a sequence. The requested array has an inhomogeneous shape after 1 dimensions. The detected shape was (9065,) + inhomogeneous part."
     ]
    }
   ],
   "source": [
    "print(np.any(np.isnan(X_content_train)))\n",
    "print(np.any(np.isnan(X_title_train)))\n",
    "# ...and so on for other arrays\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "ename": "ValueError",
     "evalue": "setting an array element with a sequence. The requested array has an inhomogeneous shape after 1 dimensions. The detected shape was (9065,) + inhomogeneous part.",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mValueError\u001b[0m                                Traceback (most recent call last)",
      "\u001b[1;32mc:\\Users\\RohanRVC\\Documents\\Business\\E-books\\E_Books_Unknown_AI\\03.1_MT_2.ipynb Cell 49\u001b[0m line \u001b[0;36m1\n\u001b[1;32m----> <a href='vscode-notebook-cell:/c%3A/Users/RohanRVC/Documents/Business/E-books/E_Books_Unknown_AI/03.1_MT_2.ipynb#X66sZmlsZQ%3D%3D?line=0'>1</a>\u001b[0m np\u001b[39m.\u001b[39;49marray(X_content_train)\n",
      "\u001b[1;31mValueError\u001b[0m: setting an array element with a sequence. The requested array has an inhomogeneous shape after 1 dimensions. The detected shape was (9065,) + inhomogeneous part."
     ]
    }
   ],
   "source": [
    "np.array(X_content_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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