initial_findings_F1_score.ipynb

{
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  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [
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     "data": {
      "text/plain": [
       "(926, 16)"
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "# Specify the full path to the CSV file in the Downloads folder\n",
    "file_path = \"C:/Users/reube/Downloads/media_views.csv\"\n",
    "\n",
    "# Read the CSV file and assign it to the variable 'data'\n",
    "df_media = pd.read_csv(file_path)\n",
    "\n",
    "\n",
    "df_media.shape\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "New data frame accessed"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\reube\\AppData\\Local\\Temp\\ipykernel_14304\\3274701530.py:5: DtypeWarning: Columns (34,35,36,37,38,39) have mixed types. Specify dtype option on import or set low_memory=False.\n",
      "  df_response = pd.read_csv(file_path)\n",
      "C:\\Users\\reube\\AppData\\Local\\Temp\\ipykernel_14304\\3274701530.py:8: DtypeWarning: Columns (10) have mixed types. Specify dtype option on import or set low_memory=False.\n",
      "  df_page = pd.read_csv(file_path)\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "# Specify the full path to the CSV file in the Downloads folder\n",
    "file_path = \"C:/Users/reube/Downloads/responses.csv\"\n",
    "df_response = pd.read_csv(file_path)\n",
    "\n",
    "file_path = \"C:/Users/reube/Downloads/page_views.csv\"\n",
    "df_page = pd.read_csv(file_path)\n",
    "\n",
    "file_path = \"C:/Users/reube/Downloads/media_views.csv\"\n",
    "df_media = pd.read_csv(file_path)\n",
    "\n",
    "file_path = \"C:/Users/reube/Downloads/items.csv\"\n",
    "df_items = pd.read_csv(file_path)\n",
    "\n",
    "file_path = \"C:/Users/reube/Downloads/checkpoints_pulse.csv\"\n",
    "df_pulse = pd.read_csv(file_path)\n",
    "\n",
    "file_path = \"C:/Users/reube/Downloads/checkpoints_eoc.csv\"\n",
    "df_eoc = pd.read_csv(\"C:/Users/reube/Downloads/checkpoints_eoc.csv\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "F1 Score: 1.0200364298724955\n",
      "F1 Score: 1.1321284650140433\n",
      "F1 Score: 1.0800744878957171\n",
      "F1 Score: 1.1381461944235116\n",
      "F1 Score: 1.0928013876843017\n",
      "Metrics for Student Performance:\n",
      "Total Number of Attempts (n_attempts): [40, 127, 145, 217, 90]\n",
      "Number of Correct Responses (n_correct): [35, 73, 80, 87, 49]\n",
      "Maximum Possible Score (max_score): [38, 87, 104, 118, 63]\n"
     ]
    }
   ],
   "source": [
    "df_eoc\n",
    "# Calculate n_attempts\n",
    "n_attempts = [40, 127, 145, 217, 90]\n",
    "\n",
    "# Calculate max_score for the current chapter\n",
    "max_score = [38, 87, 104, 118, 63]\n",
    "\n",
    "n_correct = [35, 73, 80, 87, 49]\n",
    "\n",
    "for i in range(len(n_attempts)):\n",
    "    accuracy = n_correct[i] / max_score[i]\n",
    "    if n_correct[i] > 0:\n",
    "        efficiency = n_attempts[i] / n_correct[i]\n",
    "    else:\n",
    "        efficiency = 0\n",
    "    \n",
    "    # Calculate F1 score\n",
    "    if accuracy + efficiency != 0:\n",
    "        f1_score = (2 * accuracy * efficiency) / (accuracy + efficiency)\n",
    "    else:\n",
    "        f1_score = 0\n",
    "\n",
    "    print(\"F1 Score:\", f1_score)\n",
    "    \n",
    "\n",
    "\n",
    "print(\"Metrics for Student Performance:\")\n",
    "print(\"Total Number of Attempts (n_attempts):\", n_attempts)\n",
    "print(\"Number of Correct Responses (n_correct):\", n_correct)\n",
    "print(\"Maximum Possible Score (max_score):\", max_score)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "F1 Scores: [0.8974358974358975, 0.6822429906542056, 0.642570281124498, 0.5194029850746269, 0.6405228758169934]\n"
     ]
    },
    {
     "ename": "",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31mThe Kernel crashed while executing code in the current cell or a previous cell. \n",
      "\u001b[1;31mPlease review the code in the cell(s) to identify a possible cause of the failure. \n",
      "\u001b[1;31mClick <a href='https://aka.ms/vscodeJupyterKernelCrash'>here</a> for more info. \n",
      "\u001b[1;31mView Jupyter <a href='command:jupyter.viewOutput'>log</a> for further details."
     ]
    }
   ],
   "source": [
    "# Correct implementation of F1 score\n",
    "f1_scores = []\n",
    "for i in range(len(n_attempts)):\n",
    "    precision = n_correct[i] / n_attempts[i]\n",
    "    if n_correct[i] > 0:\n",
    "        recall = n_correct[i] / n_possible[i]\n",
    "    else:\n",
    "        recall = 0\n",
    "    \n",
    "    # Calculate F1 score\n",
    "    if precision + recall != 0:\n",
    "        f1_score = 2 * (precision * recall) / (precision + recall)\n",
    "    else:\n",
    "        f1_score = 0\n",
    "    \n",
    "    f1_scores.append(f1_score)\n",
    "\n",
    "print(\"F1 Scores:\", f1_scores)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>book</th>\n",
       "      <th>release</th>\n",
       "      <th>institution_id</th>\n",
       "      <th>class_id</th>\n",
       "      <th>student_id</th>\n",
       "      <th>chapter_number</th>\n",
       "      <th>construct</th>\n",
       "      <th>response</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>College / Statistics and Data Science (ABC)</td>\n",
       "      <td>v5.0</td>\n",
       "      <td>04157183-8665-400a-925d-3bbb70ffe45e</td>\n",
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       "      <td>10</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>College / Statistics and Data Science (ABC)</td>\n",
       "      <td>v5.0</td>\n",
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       "      <td>11</td>\n",
       "      <td>Cost</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>College / Statistics and Data Science (ABC)</td>\n",
       "      <td>v5.0</td>\n",
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       "      <td>12</td>\n",
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       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>College / Statistics and Data Science (ABC)</td>\n",
       "      <td>v5.0</td>\n",
       "      <td>04157183-8665-400a-925d-3bbb70ffe45e</td>\n",
       "      <td>afcb6b4e-a0c0-46ce-b38c-c96329c91471</td>\n",
       "      <td>953768c5-32fa-4190-8fee-1da82d8710bc</td>\n",
       "      <td>2</td>\n",
       "      <td>Cost</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>College / Statistics and Data Science (ABC)</td>\n",
       "      <td>v5.0</td>\n",
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       "      <td>3</td>\n",
       "      <td>Cost</td>\n",
       "      <td>2.0</td>\n",
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       "</div>"
      ],
      "text/plain": [
       "                                          book release  \\\n",
       "0  College / Statistics and Data Science (ABC)    v5.0   \n",
       "1  College / Statistics and Data Science (ABC)    v5.0   \n",
       "2  College / Statistics and Data Science (ABC)    v5.0   \n",
       "3  College / Statistics and Data Science (ABC)    v5.0   \n",
       "4  College / Statistics and Data Science (ABC)    v5.0   \n",
       "\n",
       "                         institution_id                              class_id  \\\n",
       "0  04157183-8665-400a-925d-3bbb70ffe45e  afcb6b4e-a0c0-46ce-b38c-c96329c91471   \n",
       "1  04157183-8665-400a-925d-3bbb70ffe45e  afcb6b4e-a0c0-46ce-b38c-c96329c91471   \n",
       "2  04157183-8665-400a-925d-3bbb70ffe45e  afcb6b4e-a0c0-46ce-b38c-c96329c91471   \n",
       "3  04157183-8665-400a-925d-3bbb70ffe45e  afcb6b4e-a0c0-46ce-b38c-c96329c91471   \n",
       "4  04157183-8665-400a-925d-3bbb70ffe45e  afcb6b4e-a0c0-46ce-b38c-c96329c91471   \n",
       "\n",
       "                             student_id  chapter_number construct  response  \n",
       "0  953768c5-32fa-4190-8fee-1da82d8710bc              10      Cost       NaN  \n",
       "1  953768c5-32fa-4190-8fee-1da82d8710bc              11      Cost       NaN  \n",
       "2  953768c5-32fa-4190-8fee-1da82d8710bc              12      Cost       NaN  \n",
       "3  953768c5-32fa-4190-8fee-1da82d8710bc               2      Cost       2.0  \n",
       "4  953768c5-32fa-4190-8fee-1da82d8710bc               3      Cost       2.0  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_pulse.head()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of unique student IDs: 4\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "(11712, 8)"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "unique_student_count = df_pulse['construct'].nunique()\n",
    "print(\"Number of unique student IDs:\", unique_student_count)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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kuXkHLi4uTosXL1bHjh1lsVgUFham+Ph41axZ02hTrFgx5c+fXyEhIZKkkJAQvfLKK0Z4kyQ/Pz9FRUXp6NGjRpuUx0huk3yMB4mNjVVUVFSqDwAAAADY2nMT4NasWaNbt26pQ4cOkqTw8HA5OTnJzc0tVTsPDw+Fh4cbbVKGt+T9yfv+W5uoqCjdu3fvgbWMHDlSrq6uxidfvnyPe3oAAAAA8NiemwA3b9481a1bV15eXrYuRYGBgYqMjDQ+Fy5csHVJAAAAACAHWxcgSX/++ae2bt2q7777ztjm6empuLg43bp1K9UoXEREhDw9PY02+/fvT3Ws5FkqU7b558yVERERcnFxUcaMGR9Yj7Ozs5ydnR/7vAAAAADgSXouRuAWLFigXLlyqV69esa2cuXKydHRUdu2bTO2nThxQufPn5evr68kydfXV4cPH9aVK1eMNsHBwXJxcZGPj4/RJuUxktskHwMAAAAAzMLmAS4pKUkLFixQ+/bt5eDwnwFBV1dXderUSX379tWOHTsUFham999/X76+vqpcubIkqXbt2vLx8VHbtm3166+/avPmzRo0aJD8/f2NEbRu3brpzJkz6t+/v44fP67p06drxYoVCggIsMn5AgAAAEBa2fwRyq1bt+r8+fPq2LHjffsmTJggOzs7NWvWTLGxsfLz89P06dON/fb29lq3bp26d+8uX19fZc6cWe3bt9fw4cONNt7e3lq/fr0CAgI0adIk5c2bV3PnzpWfn98zOT8AAAAAeFKeq3XgnlesAwc8/1gHDgAAPAusAwcAAAAAeCgEOAAAAAAwCQIcAAAAAJgEAQ4AAAAATIIABwAAAAAmQYADAAAAAJMgwAEAAACASRDgAAAAAMAkCHAAAAAAYBIEOAAAAAAwCQIcAAAAAJgEAQ4AAAAATIIABwAAAAAmQYADAAAAAJMgwAEAAACASRDgAAAAAMAkCHAAAAAAYBIEOAAAAAAwCQIcAAAAAJgEAQ4AAAAATIIABwAAAAAmQYADAAAAAJMgwAEAAACASRDgAAAAAMAkCHAAAAAAYBIEOAAAAAAwCQIcAAAAAJgEAQ4AAAAATIIABwAAAAAmQYADAAAAAJMgwAEAAACASRDgAAAAAMAkCHAAAAAAYBIEOAAAAAAwCQIcAAAAAJgEAQ4AAAAATIIABwAAAAAmQYADAAAAAJMgwAEAAACASRDgAAAAAMAkCHAAAAAAYBIEOAAAAAAwCQIcAAAAAJgEAQ4AAAAATIIABwAAAAAmQYADAAAAAJMgwAEAAACASRDgAAAAAMAkCHAAAAAAYBIEOAAAAAAwCZsHuIsXL6pNmzbKkSOHMmbMqFdeeUUHDhww9lutVg0ePFi5c+dWxowZVbNmTZ08eTLVMW7cuKHWrVvLxcVFbm5u6tSpk+7cuZOqzW+//aY33nhDGTJkUL58+TRmzJhncn4AAAAA8KTYNMDdvHlTr732mhwdHbVx40b9/vvvGjdunLJly2a0GTNmjCZPnqyZM2fq559/VubMmeXn56eYmBijTevWrXX06FEFBwdr3bp12r17t7p27Wrsj4qKUu3atVWgQAGFhYVp7NixGjp0qGbPnv1MzxcAAAAAHofFarVabfXjn3zyifbs2aMff/zxgfutVqu8vLz00Ucf6eOPP5YkRUZGysPDQwsXLlTLli117Ngx+fj4KDQ0VOXLl5ckbdq0SW+//bb++usveXl5acaMGRo4cKDCw8Pl5ORk/PaaNWt0/Pjx/1lnVFSUXF1dFRkZKRcXlyd09g9Wrt+ip3p84EUVNradrUsAAADpwLPMBg9i0xG4tWvXqnz58nrnnXeUK1culSlTRnPmzDH2nz17VuHh4apZs6axzdXVVZUqVVJISIgkKSQkRG5ubkZ4k6SaNWvKzs5OP//8s9HmzTffNMKbJPn5+enEiRO6efPmfXXFxsYqKioq1QcAAAAAbM2mAe7MmTOaMWOGXn75ZW3evFndu3dX7969FRQUJEkKDw+XJHl4eKT6noeHh7EvPDxcuXLlSrXfwcFB2bNnT9XmQcdI+RspjRw5Uq6ursYnX758T+BsAQAAAODx2DTAJSUlqWzZshoxYoTKlCmjrl27qkuXLpo5c6Yty1JgYKAiIyONz4ULF2xaDwAAAABINg5wuXPnlo+PT6ptxYsX1/nz5yVJnp6ekqSIiIhUbSIiIox9np6eunLlSqr9CQkJunHjRqo2DzpGyt9IydnZWS4uLqk+AAAAAGBrNg1wr732mk6cOJFq2x9//KECBQpIkry9veXp6alt27YZ+6OiovTzzz/L19dXkuTr66tbt24pLCzMaLN9+3YlJSWpUqVKRpvdu3crPj7eaBMcHKyiRYummvESAAAAAJ5nNg1wAQEB2rdvn0aMGKFTp05p6dKlmj17tvz9/SVJFotFffr00RdffKG1a9fq8OHDateunby8vNS4cWNJf4/Y1alTR126dNH+/fu1Z88e9ezZUy1btpSXl5ck6b333pOTk5M6deqko0ePavny5Zo0aZL69u1rq1MHAAAAgEfmYMsfr1ChglavXq3AwEANHz5c3t7emjhxolq3bm206d+/v6Kjo9W1a1fdunVLr7/+ujZt2qQMGTIYbZYsWaKePXuqRo0asrOzU7NmzTR58mRjv6urq7Zs2SJ/f3+VK1dOOXPm1ODBg1OtFQcAAAAAzzubrgNnFqwDBzz/WAcOAAA8C+l6HTgAAAAAwMMjwAEAAACASRDgAAAAAMAkCHAAAAAAYBIEOAAAAAAwCQIcAAAAAJgEAQ4AAAAATIIABwAAAAAmQYADAAAAAJMgwAEAAACASRDgAAAAAMAkCHAAAAAAYBIEOAAAAAAwCQIcAAAAAJgEAQ4AAAAATIIABwAAAAAmQYADAAAAAJMgwAEAAACASRDgAAAAAMAkCHAAAAAAYBIEOAAAAAAwCQIcAAAAAJgEAQ4AAAAATIIABwAAAAAmQYADAAAAAJMgwAEAAACASRDgAAAAAMAkCHAAAAAAYBIEOAAAAAAwCQIcAAAAAJgEAQ4AAAAATIIABwAAAAAmQYADAAAAAJMgwAEAAACASRDgAAAAAMAkCHAAAAAAYBIEOAAAAAAwCQIcAAAAAJgEAQ4AAAAATIIABwAAAAAmQYADAAAAAJMgwAEAAACASRDgAAAAAMAkCHAAAAAAYBIEOAAAAAAwCQIcAAAAAJgEAQ4AAAAATIIABwAAAAAmQYADAAAAAJOwaYAbOnSoLBZLqk+xYsWM/TExMfL391eOHDmUJUsWNWvWTBEREamOcf78edWrV0+ZMmVSrly51K9fPyUkJKRqs3PnTpUtW1bOzs4qXLiwFi5c+CxODwAAAACeKJuPwJUoUUKXL182Pj/99JOxLyAgQD/88INWrlypXbt26dKlS2ratKmxPzExUfXq1VNcXJz27t2roKAgLVy4UIMHDzbanD17VvXq1VO1atV06NAh9enTR507d9bmzZuf6XkCAAAAwONysHkBDg7y9PS8b3tkZKTmzZunpUuXqnr16pKkBQsWqHjx4tq3b58qV66sLVu26Pfff9fWrVvl4eGhV199VZ9//rkGDBigoUOHysnJSTNnzpS3t7fGjRsnSSpevLh++uknTZgwQX5+fs/0XAEAAADgcdh8BO7kyZPy8vJSoUKF1Lp1a50/f16SFBYWpvj4eNWsWdNoW6xYMeXPn18hISGSpJCQEL3yyivy8PAw2vj5+SkqKkpHjx412qQ8RnKb5GMAAAAAgFnYdASuUqVKWrhwoYoWLarLly9r2LBheuONN3TkyBGFh4fLyclJbm5uqb7j4eGh8PBwSVJ4eHiq8Ja8P3nff2sTFRWle/fuKWPGjPfVFRsbq9jYWOPvqKioxz5XAAAAAHhcNg1wdevWNf65VKlSqlSpkgoUKKAVK1Y8MFg9KyNHjtSwYcNs9vsAAAAA8CA2f4QyJTc3NxUpUkSnTp2Sp6en4uLidOvWrVRtIiIijHfmPD0975uVMvnv/9XGxcXlX0NiYGCgIiMjjc+FCxeexOkBAAAAwGN5rgLcnTt3dPr0aeXOnVvlypWTo6Ojtm3bZuw/ceKEzp8/L19fX0mSr6+vDh8+rCtXrhhtgoOD5eLiIh8fH6NNymMkt0k+xoM4OzvLxcUl1QcAAAAAbM2mAe7jjz/Wrl27dO7cOe3du1dNmjSRvb29WrVqJVdXV3Xq1El9+/bVjh07FBYWpvfff1++vr6qXLmyJKl27dry8fFR27Zt9euvv2rz5s0aNGiQ/P395ezsLEnq1q2bzpw5o/79++v48eOaPn26VqxYoYCAAFueOgAAAAA8Mpu+A/fXX3+pVatWun79utzd3fX6669r3759cnd3lyRNmDBBdnZ2atasmWJjY+Xn56fp06cb37e3t9e6devUvXt3+fr6KnPmzGrfvr2GDx9utPH29tb69esVEBCgSZMmKW/evJo7dy5LCAAAAAAwHYvVarXauojnXVRUlFxdXRUZGfnUH6cs12/RUz0+8KIKG9vO1iUAAIB04Flmgwd5rt6BAwAAAAD8OwIcAAAAAJgEAQ4AAAAATIIABwAAAAAmQYADAAAAAJMgwAEAAACASRDgAAAAAMAkCHAAAAAAYBIEOAAAAAAwCQIcAAAAAJgEAQ4AAAAATIIABwAAAAAmQYADAAAAAJMgwAEAAACASRDgAAAAAMAkCHAAAAAAYBIEOAAAAAAwCQIcAAAAAJgEAQ4AAAAATIIABwAAAAAmQYADAAAAAJMgwAEAAACASRDgAAAAAMAkCHAAAAAAYBIEOAAAAAAwCQIcAAAAAJgEAQ4AAAAATIIABwAAAAAmQYADAAAAAJMgwAEAAACASRDgAAAAAMAkCHAAAAAAYBIEOAAAAAAwCQIcAAAAAJgEAQ4AAAAATIIABwAAAAAmQYADAAAAAJMgwAEAAACASRDgAAAAAMAkCHAAAAAAYBIEOAAAAAAwCQIcAAAAAJgEAQ4AAAAATIIABwAAAAAmQYADAAAAAJMgwAEAAACASRDgAAAAAMAkHGxdAADgfuX6LbJ1CYDphI1tZ+sSAOCpS9MIXKFChXT9+vX7tt+6dUuFChV67KIAAAAAAPdLU4A7d+6cEhMT79seGxurixcvPnZRAAAAAID7PVKAW7t2rdauXStJ2rx5s/H32rVrtXr1an3++ecqWLBgmgoZNWqULBaL+vTpY2yLiYmRv7+/cuTIoSxZsqhZs2aKiIhI9b3z58+rXr16ypQpk3LlyqV+/fopISEhVZudO3eqbNmycnZ2VuHChbVw4cI01QgAAAAAtvRI78A1btxYkmSxWNS+fftU+xwdHVWwYEGNGzfukYsIDQ3VrFmzVKpUqVTbAwICtH79eq1cuVKurq7q2bOnmjZtqj179kiSEhMTVa9ePXl6emrv3r26fPmy2rVrJ0dHR40YMUKSdPbsWdWrV0/dunXTkiVLtG3bNnXu3Fm5c+eWn5/fI9cKAAAAALbySCNwSUlJSkpKUv78+XXlyhXj76SkJMXGxurEiROqX7/+IxVw584dtW7dWnPmzFG2bNmM7ZGRkZo3b57Gjx+v6tWrq1y5clqwYIH27t2rffv2SZK2bNmi33//XYsXL9arr76qunXr6vPPP9e0adMUFxcnSZo5c6a8vb01btw4FS9eXD179lTz5s01YcKER6oTAAAAAGwtTe/AnT17Vjlz5nwiBfj7+6tevXqqWbNmqu1hYWGKj49Ptb1YsWLKnz+/QkJCJEkhISF65ZVX5OHhYbTx8/NTVFSUjh49arT557H9/PyMYzxIbGysoqKiUn0AAAAAwNbSvIzAtm3btG3bNmMkLqX58+c/1DGWLVumgwcPKjQ09L594eHhcnJykpubW6rtHh4eCg8PN9qkDG/J+5P3/bc2UVFRunfvnjJmzHjfb48cOVLDhg17qHMAAAAAgGclTSNww4YNU+3atbVt2zZdu3ZNN2/eTPV5GBcuXNCHH36oJUuWKEOGDGkp46kJDAxUZGSk8blw4YKtSwIAAACAtI3AzZw5UwsXLlTbtm3T/MNhYWG6cuWKypYta2xLTEzU7t27NXXqVG3evFlxcXG6detWqlG4iIgIeXp6SpI8PT21f//+VMdNnqUyZZt/zlwZEREhFxeXB46+SZKzs7OcnZ3TfG4AAAAA8DSkaQQuLi5OVapUeawfrlGjhg4fPqxDhw4Zn/Lly6t169bGPzs6Omrbtm3Gd06cOKHz58/L19dXkuTr66vDhw/rypUrRpvg4GC5uLjIx8fHaJPyGMltko8BAAAAAGaRphG4zp07a+nSpfrss8/S/MNZs2ZVyZIlU23LnDmzcuTIYWzv1KmT+vbtq+zZs8vFxUW9evWSr6+vKleuLEmqXbu2fHx81LZtW40ZM0bh4eEaNGiQ/P39jRG0bt26aerUqerfv786duyo7du3a8WKFVq/fn2aawcAAAAAW0hTgIuJidHs2bO1detWlSpVSo6Ojqn2jx8//okUN2HCBNnZ2alZs2aKjY2Vn5+fpk+fbuy3t7fXunXr1L17d/n6+ipz5sxq3769hg8fbrTx9vbW+vXrFRAQoEmTJilv3ryaO3cua8ABAAAAMB2L1Wq1PuqXqlWr9u8HtFi0ffv2xyrqeRMVFSVXV1dFRkbKxcXlqf5WuX6LnurxgRdV2Nh2ti7hiaIvAB7di9YPAHg+Pcts8CBpGoHbsWPHk64DAAAAAPA/pGkSEwAAAADAs5emEbhq1arJYrH86/4X7RFKAAAAAHgepCnAvfrqq6n+jo+P16FDh3TkyBG1b9/+SdQFAAAAAPiHNAW4CRMmPHD70KFDdefOnccqCAAAAADwYE/0Hbg2bdpo/vz5T/KQAAAAAID/90QDXEhIiDJkyPAkDwkAAAAA+H9peoSyadOmqf62Wq26fPmyDhw4oM8+++yJFAYAAAAASC1NAc7V1TXV33Z2dipatKiGDx+u2rVrP5HCAAAAAACppSnALViw4EnXAQAAAAD4H9IU4JKFhYXp2LFjkqQSJUqoTJkyT6QoAAAAAMD90hTgrly5opYtW2rnzp1yc3OTJN26dUvVqlXTsmXL5O7u/iRrBAAAAAAojbNQ9urVS7dv39bRo0d148YN3bhxQ0eOHFFUVJR69+79pGsEAAAAACiNI3CbNm3S1q1bVbx4cWObj4+Ppk2bxiQmAAAAAPCUpGkELikpSY6Ojvdtd3R0VFJS0mMXBQAAAAC4X5oCXPXq1fXhhx/q0qVLxraLFy8qICBANWrUeGLFAQAAAAD+I00BburUqYqKilLBggX10ksv6aWXXpK3t7eioqI0ZcqUJ10jAAAAAEBpfAcuX758OnjwoLZu3arjx49LkooXL66aNWs+0eIAAAAAAP/xSCNw27dvl4+Pj6KiomSxWFSrVi316tVLvXr1UoUKFVSiRAn9+OOPT6tWAAAAAEjXHinATZw4UV26dJGLi8t9+1xdXfXBBx9o/PjxT6w4AAAAAMB/PFKA+/XXX1WnTp1/3V+7dm2FhYU9dlEAAAAAgPs9UoCLiIh44PIByRwcHHT16tXHLgoAAAAAcL9HCnB58uTRkSNH/nX/b7/9pty5cz92UQAAAACA+z1SgHv77bf12WefKSYm5r599+7d05AhQ1S/fv0nVhwAAAAA4D8eaRmBQYMG6bvvvlORIkXUs2dPFS1aVJJ0/PhxTZs2TYmJiRo4cOBTKRQAAAAA0rtHCnAeHh7au3evunfvrsDAQFmtVkmSxWKRn5+fpk2bJg8Pj6dSKAAAAACkd4+8kHeBAgW0YcMG3bx5U6dOnZLVatXLL7+sbNmyPY36AAAAAAD/75EDXLJs2bKpQoUKT7IWAAAAAMB/8UiTmAAAAAAAbIcABwAAAAAmQYADAAAAAJMgwAEAAACASRDgAAAAAMAkCHAAAAAAYBIEOAAAAAAwCQIcAAAAAJgEAQ4AAAAATIIABwAAAAAmQYADAAAAAJMgwAEAAACASRDgAAAAAMAkCHAAAAAAYBIEOAAAAAAwCQIcAAAAAJgEAQ4AAAAATIIABwAAAAAmQYADAAAAAJMgwAEAAACASRDgAAAAAMAkCHAAAAAAYBI2DXAzZsxQqVKl5OLiIhcXF/n6+mrjxo3G/piYGPn7+ytHjhzKkiWLmjVrpoiIiFTHOH/+vOrVq6dMmTIpV65c6tevnxISElK12blzp8qWLStnZ2cVLlxYCxcufBanBwAAAABPlE0DXN68eTVq1CiFhYXpwIEDql69uho1aqSjR49KkgICAvTDDz9o5cqV2rVrly5duqSmTZsa309MTFS9evUUFxenvXv3KigoSAsXLtTgwYONNmfPnlW9evVUrVo1HTp0SH369FHnzp21efPmZ36+AAAAAPA4LFar1WrrIlLKnj27xo4dq+bNm8vd3V1Lly5V8+bNJUnHjx9X8eLFFRISosqVK2vjxo2qX7++Ll26JA8PD0nSzJkzNWDAAF29elVOTk4aMGCA1q9fryNHjhi/0bJlS926dUubNm16qJqioqLk6uqqyMhIubi4PPmTTqFcv0VP9fjAiypsbDtbl/BE0RcAj+5F6wcAPJ+eZTZ4kOfmHbjExEQtW7ZM0dHR8vX1VVhYmOLj41WzZk2jTbFixZQ/f36FhIRIkkJCQvTKK68Y4U2S/Pz8FBUVZYzihYSEpDpGcpvkYzxIbGysoqKiUn0AAAAAwNZsHuAOHz6sLFmyyNnZWd26ddPq1avl4+Oj8PBwOTk5yc3NLVV7Dw8PhYeHS5LCw8NThbfk/cn7/lubqKgo3bt374E1jRw5Uq6ursYnX758T+JUAQAAAOCx2DzAFS1aVIcOHdLPP/+s7t27q3379vr9999tWlNgYKAiIyONz4ULF2xaDwAAAABIkoOtC3ByclLhwoUlSeXKlVNoaKgmTZqkd999V3Fxcbp161aqUbiIiAh5enpKkjw9PbV///5Ux0uepTJlm3/OXBkRESEXFxdlzJjxgTU5OzvL2dn5iZwfAAAAADwpNh+B+6ekpCTFxsaqXLlycnR01LZt24x9J06c0Pnz5+Xr6ytJ8vX11eHDh3XlyhWjTXBwsFxcXOTj42O0SXmM5DbJxwAAAAAAs7DpCFxgYKDq1q2r/Pnz6/bt21q6dKl27typzZs3y9XVVZ06dVLfvn2VPXt2ubi4qFevXvL19VXlypUlSbVr15aPj4/atm2rMWPGKDw8XIMGDZK/v78xgtatWzdNnTpV/fv3V8eOHbV9+3atWLFC69evt+WpAwAAAMAjs2mAu3Llitq1a6fLly/L1dVVpUqV0ubNm1WrVi1J0oQJE2RnZ6dmzZopNjZWfn5+mj59uvF9e3t7rVu3Tt27d5evr68yZ86s9u3ba/jw4UYbb29vrV+/XgEBAZo0aZLy5s2ruXPnys/P75mfLwAAAAA8juduHbjnEevAAc+/F239J/oC4NG9aP0AgOcT68ABAAAAAB4KAQ4AAAAATIIABwAAAAAmQYADAAAAAJMgwAEAAACASRDgAAAAAMAkCHAAAAAAYBIEOAAAAAAwCQIcAAAAAJgEAQ4AAAAATIIABwAAAAAmQYADAAAAAJMgwAEAAACASRDgAAAAAMAkCHAAAAAAYBIEOAAAAAAwCQIcAAAAAJgEAQ4AAAAATIIABwAAAAAmQYADAAAAAJMgwAEAAACASRDgAAAAAMAkCHAAAAAAYBIEOAAAAAAwCQIcAAAAAJgEAQ4AAAAATIIABwAAAAAmQYADAAAAAJMgwAEAAACASRDgAAAAAMAkCHAAAAAAYBIEOAAAAAAwCQIcAAAAAJgEAQ4AAAAATIIABwAAAAAmQYADAAAAAJMgwAEAAACASRDgAAAAAMAkCHAAAAAAYBIEOAAAAAAwCQIcAAAAAJgEAQ4AAAAATIIABwAAAAAmQYADAAAAAJMgwAEAAACASRDgAAAAAMAkCHAAAAAAYBIEOAAAAAAwCQIcAAAAAJiETQPcyJEjVaFCBWXNmlW5cuVS48aNdeLEiVRtYmJi5O/vrxw5cihLlixq1qyZIiIiUrU5f/686tWrp0yZMilXrlzq16+fEhISUrXZuXOnypYtK2dnZxUuXFgLFy582qcHAAAAAE+UTQPcrl275O/vr3379ik4OFjx8fGqXbu2oqOjjTYBAQH64YcftHLlSu3atUuXLl1S06ZNjf2JiYmqV6+e4uLitHfvXgUFBWnhwoUaPHiw0ebs2bOqV6+eqlWrpkOHDqlPnz7q3LmzNm/e/EzPFwAAAAAeh8VqtVptXUSyq1evKleuXNq1a5fefPNNRUZGyt3dXUuXLlXz5s0lScePH1fx4sUVEhKiypUra+PGjapfv74uXbokDw8PSdLMmTM1YMAAXb16VU5OThowYIDWr1+vI0eOGL/VsmVL3bp1S5s2bfqfdUVFRcnV1VWRkZFycXF5Oif//8r1W/RUjw+8qMLGtrN1CU8UfQHw6F60fgDA8+lZZoMHea7egYuMjJQkZc+eXZIUFham+Ph41axZ02hTrFgx5c+fXyEhIZKkkJAQvfLKK0Z4kyQ/Pz9FRUXp6NGjRpuUx0huk3wMAAAAADADB1sXkCwpKUl9+vTRa6+9ppIlS0qSwsPD5eTkJDc3t1RtPTw8FB4ebrRJGd6S9yfv+29toqKidO/ePWXMmDHVvtjYWMXGxhp/R0VFPf4JAgAAAMBjem5G4Pz9/XXkyBEtW7bM1qVo5MiRcnV1NT758uWzdUkAAAAA8HwEuJ49e2rdunXasWOH8ubNa2z39PRUXFycbt26lap9RESEPD09jTb/nJUy+e//1cbFxeW+0TdJCgwMVGRkpPG5cOHCY58jAAAAADwumwY4q9Wqnj17avXq1dq+fbu8vb1T7S9XrpwcHR21bds2Y9uJEyd0/vx5+fr6SpJ8fX11+PBhXblyxWgTHBwsFxcX+fj4GG1SHiO5TfIx/snZ2VkuLi6pPgAAAABgazZ9B87f319Lly7V999/r6xZsxrvrLm6uipjxoxydXVVp06d1LdvX2XPnl0uLi7q1auXfH19VblyZUlS7dq15ePjo7Zt22rMmDEKDw/XoEGD5O/vL2dnZ0lSt27dNHXqVPXv318dO3bU9u3btWLFCq1fv95m5w4AAAAAj8qmI3AzZsxQZGSkqlatqty5cxuf5cuXG20mTJig+vXrq1mzZnrzzTfl6emp7777zthvb2+vdevWyd7eXr6+vmrTpo3atWun4cOHG228vb21fv16BQcHq3Tp0ho3bpzmzp0rPz+/Z3q+AAAAAPA4bDoC9zBL0GXIkEHTpk3TtGnT/rVNgQIFtGHDhv96nKpVq+qXX3555BoBAAAA4HnxXExiAgAAAAD43whwAAAAAGASBDgAAAAAMAkCHAAAAACYBAEOAAAAAEyCAAcAAAAAJkGAAwAAAACTIMABAAAAgEkQ4AAAAADAJAhwAAAAAGASBDgAAAAAMAkCHAAAAACYBAEOAAAAAEyCAAcAAAAAJkGAAwAAAACTIMABAAAAgEkQ4AAAAADAJAhwAAAAAGASBDgAAAAAMAkCHAAAAACYBAEOAAAAAEyCAAcAAAAAJkGAAwAAAACTIMABAAAAgEkQ4AAAAADAJAhwAAAAAGASBDgAAAAAMAkCHAAAAACYBAEOAAAAAEyCAAcAAAAAJkGAAwAAAACTIMABAAAAgEkQ4AAAAADAJAhwAAAAAGASBDgAAAAAMAkCHAAAAACYBAEOAAAAAEyCAAcAAAAAJkGAAwAAAACTIMABAAAAgEkQ4AAAAADAJAhwAAAAAGASBDgAAAAAMAkCHAAAAACYBAEOAAAAAEyCAAcAAAAAJkGAAwAAAACTIMABAAAAgEkQ4AAAAADAJAhwAAAAAGASNg1wu3fvVoMGDeTl5SWLxaI1a9ak2m+1WjV48GDlzp1bGTNmVM2aNXXy5MlUbW7cuKHWrVvLxcVFbm5u6tSpk+7cuZOqzW+//aY33nhDGTJkUL58+TRmzJinfWoAAAAA8MTZNMBFR0erdOnSmjZt2gP3jxkzRpMnT9bMmTP1888/K3PmzPLz81NMTIzRpnXr1jp69KiCg4O1bt067d69W127djX2R0VFqXbt2ipQoIDCwsI0duxYDR06VLNnz37q5wcAAAAAT5KDLX+8bt26qlu37gP3Wa1WTZw4UYMGDVKjRo0kSYsWLZKHh4fWrFmjli1b6tixY9q0aZNCQ0NVvnx5SdKUKVP09ttv66uvvpKXl5eWLFmiuLg4zZ8/X05OTipRooQOHTqk8ePHpwp6AAAAAPC8e27fgTt79qzCw8NVs2ZNY5urq6sqVaqkkJAQSVJISIjc3NyM8CZJNWvWlJ2dnX7++WejzZtvviknJyejjZ+fn06cOKGbN28+8LdjY2MVFRWV6gMAAAAAtvbcBrjw8HBJkoeHR6rtHh4exr7w8HDlypUr1X4HBwdlz549VZsHHSPlb/zTyJEj5erqanzy5cv3+CcEAAAAAI/puQ1wthQYGKjIyEjjc+HCBVuXBAAAAADPb4Dz9PSUJEVERKTaHhERYezz9PTUlStXUu1PSEjQjRs3UrV50DFS/sY/OTs7y8XFJdUHAAAAAGztuQ1w3t7e8vT01LZt24xtUVFR+vnnn+Xr6ytJ8vX11a1btxQWFma02b59u5KSklSpUiWjze7duxUfH2+0CQ4OVtGiRZUtW7ZndDYAAAAA8PhsGuDu3LmjQ4cO6dChQ5L+nrjk0KFDOn/+vCwWi/r06aMvvvhCa9eu1eHDh9WuXTt5eXmpcePGkqTixYurTp066tKli/bv3689e/aoZ8+eatmypby8vCRJ7733npycnNSpUycdPXpUy5cv16RJk9S3b18bnTUAAAAApI1NlxE4cOCAqlWrZvydHKrat2+vhQsXqn///oqOjlbXrl1169Ytvf7669q0aZMyZMhgfGfJkiXq2bOnatSoITs7OzVr1kyTJ0829ru6umrLli3y9/dXuXLllDNnTg0ePJglBAAAAACYjsVqtVptXcTzLioqSq6uroqMjHzq78OV67foqR4feFGFjW1n6xKeKPoC4NG9aP0AgOfTs8wGD/LcvgMHAAAAAEiNAAcAAAAAJkGAAwAAAACTIMABAAAAgEkQ4AAAAADAJAhwAAAAAGASBDgAAAAAMAkCHAAAAACYBAEOAAAAAEyCAAcAAAAAJkGAAwAAAACTIMABAAAAgEkQ4AAAAADAJAhwAAAAAGASBDgAAAAAMAkCHAAAAACYBAEOAAAAAEyCAAcAAAAAJkGAAwAAAACTIMABAAAAgEkQ4AAAAADAJAhwAAAAAGASBDgAAAAAMAkCHAAAAACYBAEOAAAAAEyCAAcAAAAAJkGAAwAAAACTIMABAAAAgEkQ4AAAAADAJAhwAAAAAGASBDgAAAAAMAkCHAAAAACYBAEOAAAAAEyCAAcAAAAAJuFg6wIAAABwv3L9Ftm6BMCUwsa2s3UJTxUjcAAAAABgEgQ4AAAAADAJAhwAAAAAmAQBDgAAAABMggAHAAAAACZBgAMAAAAAkyDAAQAAAIBJEOAAAAAAwCQIcAAAAABgEgQ4AAAAADAJAhwAAAAAmAQBDgAAAABMggAHAAAAACZBgAMAAAAAkyDAAQAAAIBJpKsAN23aNBUsWFAZMmRQpUqVtH//fluXBAAAAAAPLd0EuOXLl6tv374aMmSIDh48qNKlS8vPz09XrlyxdWkAAAAA8FDSTYAbP368unTpovfff18+Pj6aOXOmMmXKpPnz59u6NAAAAAB4KA62LuBZiIuLU1hYmAIDA41tdnZ2qlmzpkJCQu5rHxsbq9jYWOPvyMhISVJUVNRTrzUx9t5T/w3gRfQs/vt8lugLgEdHPwBAevp9QfLxrVbrU/2df5MuAty1a9eUmJgoDw+PVNs9PDx0/Pjx+9qPHDlSw4YNu297vnz5nlqNAB6P65Ruti4BgI3RDwCQnl1fcPv2bbm6uj6T30opXQS4RxUYGKi+ffsafyclJenGjRvKkSOHLBaLDSuDLUVFRSlfvny6cOGCXFxcbF0OABugHwBAPwCr1arbt2/Ly8vLJr+fLgJczpw5ZW9vr4iIiFTbIyIi5OnpeV97Z2dnOTs7p9rm5ub2NEuEibi4uNBhA+kc/QAA+oH0zRYjb8nSxSQmTk5OKleunLZt22ZsS0pK0rZt2+Tr62vDygAAAADg4aWLEThJ6tu3r9q3b6/y5curYsWKmjhxoqKjo/X+++/bujQAAAAAeCjpJsC9++67unr1qgYPHqzw8HC9+uqr2rRp030TmwD/xtnZWUOGDLnv8VoA6Qf9AAD6AdiaxWqr+S8BAAAAAI8kXbwDBwAAAAAvAgIcAAAAAJgEAQ4AAAAATIIABwAAAAAmQYADAAB4SMz9BuBRPI0+I90sIwDgxdC+fXt5enoqb9686tWrl6xWqywWi63LApAO3Lx5U1myZJGjo6OtSwFgEsnXKE/yeoUROACm0qBBA+XLl09jx45VzZo1NW7cON25c8fWZQF4wU2ePFllypRRq1atNHfuXN29e9fWJQF4jnXp0kWNGzfWgAEDFBER8URvNrMOHABTioqK0pAhQxQWFqZMmTLpm2++UbZs2WxdFoAX2N69e3Xo0CEFBgaqRo0aevvtt9W5c2dblwXgOfTnn39qy5YtWr9+vfbu3auePXuqQYMGKlOmzGMfmwAHwBT+/PNPXblyRaVLl5aTk5MkKT4+Xj/88IPGjx+v2NhYBQcHy83NzbaFAnjhJCYmyt7e3vj7xIkTGjFihE6cOKG33npLo0ePtmF1AJ53kyZN0vfffy87Ozv169dPfn5+j3U8AhyA597y5cs1bdo0RUdHq23bturTp4+SkpJkZ2enpKQk7dq1S5999pkKFiyoOXPmKGPGjLYuGcALLiIiQrNnz9aqVavUsGFDDR8+3NYlAXgO/P7774qIiFDGjBlVuXJlY/u2bds0d+5cnThxQmPHjlWNGjXS/BtMYgLgubZgwQL16dNHU6dO1euvvy5vb29Jkp2dnaxWq+zs7PTWW2+pQ4cOWrRokbZv36569eoxuQmAx3bu3DmdPXtWoaGhKly4sCpUqKB8+fJJkjw8POTv76+4uDjt3r1bwcHBqlWrlo0rBmBLS5cu1aRJk+Tl5aUKFSqocuXKxg3nGjVqKEuWLBo3bpxmzpypl156SQULFkzT7zACB+C5tW/fPrVq1UpDhw5V+/btje0pw1nyP8fFxalJkybKmDGjvv32W1uVDOAFsWLFCk2dOlWXL19WTEyMLl68qAoVKqhLly6p3nv766+/1Lp1axUpUkRz5syxYcUAbGnhwoXy9/fX3LlzVbVqVeXOndvYl/K6Zc2aNfrss880cOBAtWzZ0gh4j4JZKAE8t3755Rd5eHioTp06qbanHFlL/mcnJydNmTJFhw8f1r59+55pnQBeLHPmzFGXLl3UokULffvttzp58qS2bdumuLg4jRkzRtOnTzfa5s2bV2PHjtWKFSu0a9cuG1YNwFYOHTqkESNGaOrUqWrVqpUR3pLHySwWi/HPjRs3Vt26dTVw4EDFxcU9cniTCHAAnmM7duyQk5OTPDw8/rXN6dOnFRcXJ0nKnj27XnnlFab3BpBmCxYsUPfu3bV06VL17NlTpUuXVoYMGVStWjUtWrRI7u7umj59usLCwiT9PcFJxYoV1aJFC/3++++SWOwbSG/OnDkjJycnVa9eXUlJScb2B91wlqRBgwapUKFCCgkJSdPvEeAAPDf+edFTuHBh/fnnnzp79uwD2ycmJuqjjz7SxIkTJUlubm7y9/dXYmLi0y4VwAto79696ty5s7p166Z69epJkpKSkmS1WmW1WvXKK69oypQpOn78uIKDgyXJmJ2yVKlSRoDj/Vsgffn55591+/ZtFShQ4F9H1E6cOGEEtkyZMsnNzU3Hjh1L0+8R4AA8N/4ZvIoVK6YLFy5o7dq1io6Ovq/99evXZW9vr2LFihnbqlWrxkQCANIkb968qlGjhk6dOqWvv/5a0n8mTLJYLIqPj1fZsmXVsGFD7du3T4mJiUpISJAk9erVizXhgHQi+YZz8mibl5eXbt++rV9//fWBI/BWq1Xz58/X2rVrZbVa5eDgoIkTJ6pEiRJp+n0CHIDnwtq1a9W5c2e1bdtWU6ZMkSS1a9dO7du316BBg/T1118rIiJC0t8d5o0bN9SpUydFRkYad8oBIC3u3r2rmzdvKn/+/JozZ46cnJw0f/58LV68WJKMJUscHR2VkJCgy5cvK1++fLK3t5eDw38m9C5durQkHqEEXnTJN5WTbzzXqFFDMTExmj17tvFah/SfvuDWrVs6efKkChcubIzQ58mTR2+88Uaafp9lBADY3OzZs/Xxxx+rTZs2OnXqlIKCgpQnTx41bdpUI0eOVHR0tHr06KFVq1apevXqunjxoo4cOaJbt24pNDRU9vb29y20CwAPY82aNVqzZo1+/fVXLV26VMWLF9eUKVPUq1cvzZs3T5LUpk0b47Go06dPK1OmTHrrrbck6YFLlvAIJfDi+vbbb7V06VJdvXpVfn5+6tixo0qWLKnhw4frk08+kZOTk/r16ycvLy9ZLBZduXJF77//vu7cuaMOHTo8kRoYgQNgU/PmzVOPHj0UFBSk6dOna+nSpYqPj1d8fLwSExPl6empFStWaOzYsYqLi9OkSZN05swZvfbaazpw4IBxR5zwBuBRzZ8/X927d1eFChX06aefqnjx4rJarSpQoICmTJmirFmzat68ecbjlJL00Ucfyc7OTk2aNJFEWAPSk9mzZ6t9+/YqVaqU8ubNq5UrV2r79u2SpLZt22rgwIGaOnWqateurbZt26pFixZq1KiRwsPDtXXrVuOG8+NiHTgANvPtt9+qRYsWmjdvnt5//31je4UKFeTg4KDIyEjly5dPM2bMUKFChRQXF6eYmBi5uLgYbRl5A5AWGzZsUOvWrTV9+nS1atXK2J48YYmdnZ3+/PNP9erVS9HR0erYsaO++eYbnTlzRr/++qscHR3pf4B0ZO7cuerRo4dWrlypRo0aSZJq1qypatWqqVevXpIkFxcXbdu2TVOnTlVERIQKFCigMmXKqG/fvnJwcFBCQkKqx67TigAHwGZ27typ6tWrq3fv3ho6dKjc3NzUvHlzHThwQAMHDlR0dLSmTZsmV1dXHThwwNblAngBJE860LlzZzk7O2vKlCkPvKBKXlz3zz//1IcffqgNGzaoSJEi+uWXX4yR/ydxIQbg+bdjxw7VqFFDc+bMUadOnYztVapU0b1793T9+nU5OztrxowZqlmzpuLj42Vvb59qRsonecOHngeATSQlJalq1arasmWL6tSpo8TERJ0/f15nzpzRrl27VKBAAUlS7ty51apVK+3cuVNVq1a1bdEATM/Ozk7x8fHavXu3unTpIgcHh/veY0segbt165YKFCig8ePHy8fHR8OHD3+id9EBmIO3t7e8vb21ZMkSNW7cWDly5NA777yjy5cva9q0abpy5YpWrlyppk2bKjQ0VEWLFr3vGE9ytJ7eB8Azl5iYaMzqVrNmTW3YsMGYSXLv3r0qUKCAcUGVI0cOFSlSRLly5bJx1QBeFPb29kpKStLVq1cl3f8em8Vi0bVr19SoUSPNmzdPxYoV04gRIySJ8AakQwULFtSOHTtUs2ZNNW3aVFmzZtWFCxe0Y8cOFSxYUJLk6empHTt26NixYw8McE8Sk5gAeGaOHj0q6e+LJ4vFIqvVqsTERNWuXVvbt2+X1WrVggULdPHiReOCatKkSXrppZdSrfUGAI8jJiZGr776qoKDg1M9np38eKUkXbt2TVmyZLkvrBHegPQjuU+wWq3Knz+/tm7dqrt372rDhg2aNWuWChYsaExKkj9/fhUoUEBubm5PvS7egQPwTKxatUrvvPOO/Pz81KpVK1WoUEHFixdP1WbLli16++231bVrV3322Wfq3LmzTp06pSNHjsjR0dF4JwUAHsXevXt18uRJxcXFqXnz5sqWLZu2bt2qOnXqqFmzZho4cKBKlSpltL9z547at28v6e/JlphpEkhfwsLClC1bNhUqVMjYljz6fv78edWpU0fZsmXTN998o/z580uS6tWrp3v37mnr1q1P/VqFAAfgmdi8ebPGjBmjAgUKyMHBQatXr1ZgYKDKly+vN99802i3adMmNWrUSPHx8SpZsqTCwsKYMABAms2bN09DhgxRzpw5dffuXRUoUECrVq2Si4uL5s+fr86dO6tq1apq0aKF6tatq71792revHm6cuWKDh48KAcHB24eAenI1q1bVbt2bWXLlk2DBw9WkSJFVLdu3VRtzp8/r1q1asnd3V3Lli1Tt27ddPLkSeOG89OeoZYAB+CpSTkxwIkTJzRgwAD17t1b1atX1/z58xUcHKxTp06pXLly6tixo4oWLSpXV1cFBwfryy+/VHBwMOENQJrNnj1b/v7++uabb1StWjVt3bpVQ4YM0fbt2+Xl5SVJWrdunT755BOdOnVKcXFxKlmypEqWLKmgoCCWCgDSoYMHD2r8+PEqU6aM/vjjD+3du1dFihRRjx49VKFCBWMpo/Pnz6t27dr6448/VLx4cR06dOiZXbMQ4AA8FQ+66BkwYIA2bdqk3bt3y9XVVRcuXFDZsmUVHx+vEiVKyGKxqEePHnrvvfeM7xDeAKTF4sWL1a5dO3377bdq2rSpJOnmzZvy9fVV48aNdfbsWbVr10716tXTtWvXdOfOHV24cEEvv/yyPDw8ZLFY6H+AdOjq1auqV6+eOnbsqG7duunEiRMaMWKEwsPDFRUVpeHDh6tQoUJ66aWXdPbsWX311VeaOHHiM73hTIAD8MSNHj1aMTExGjJkSKpFcS9duqQOHTros88+U5UqVVSuXDl5enpqwYIFCgsL07x583Tt2jXt3r2bd04ApFlCQoKqV6+uc+fOKSgoSNWqVZMkNWrUSGFhYXrjjTd08eJF43HJ5PfdUuKxSSB9OHPmjPGuW/KTQ+vXr1e/fv0UFBSkChUqKDY2VgULFpSDg4OyZMmi7Nmzq2LFihozZowcHR0lPdsbztxWAvBEJSUl6e7du7p48aKkv6fjTg5j7u7uypkzp8aOHas///xT2bJl04IFC5Q7d27Vr19f9evXNzrPf67LBAAPy8HBQWvWrFHTpk01ZMgQSdLUqVN19uxZ/fjjj8qXL58cHBzUsGFDDR8+XM2bN1fmzJlTHYPwBrz45s2bpzNnzujLL780nhyyWq169dVXVahQIV2/fl2SVKlSJRUtWlTbt29XSEiItm3bpm3btqV60uhZjtbTOwF4ouzs7NS6dWtt3rxZP/zwg7E9KSlJjo6O+vLLL/XTTz/J0dFRa9euVe7cuSX9fddLEuENQJqkfKAoISFB2bNn13fffaekpCQ1adJEBw8e1Jo1a+Tt7W2Es5IlSxphDkD6c/fuXX3//feyWq1GeLNYLMqTJ4/KlSunzp07q1ixYnJzc9OyZctkZ2en1157TYMHD9auXbuMNW2fNQIcgCcqKSlJ+fLlU926dbV582ZjodzkTs7Dw0MNGjRQmTJl5OLiYnR8KQMb4Q3Ao0pISDD+2cHBQXFxccqePbvWrVunChUqKHv27Dp58qQSEhJkZ2enxMREhYWFqXDhwnJ2drZh5QBs5YMPPpCHh4fmzJkj6e/rj+Trkv79+8vT01PZsmXTihUr5Onp+cBj2GK0ngAH4Imys7NTxowZVadOHX3zzTdatWqVcWfczs5OmTJlUqNGjfT1119r7969PKYE4LHNnz9fZcuW1apVqxQaGipJcnJykiS5ublp+fLlypgxo4YPH65t27YpMTFRjRs31l9//aWZM2dKSj2CByD9KFKkiNatW6dr165J+k8gc3Z2VoUKFeTk5KRcuXJJen76CSYxAfDUfPHFF/r8888VFBSk5s2bp3pMqVKlSipfvrymTZtmwwoBmFny4041atTQ3r171b59ex04cEDVq1dX27Zt9corrxhtr1+/rkaNGsnOzk63bt1SbGzsM1uzCcDz68KFC3r11Vf1zjvvGDd0kicxunjxonx8fDR06FAFBATYuNL/4KFvAE9ccsc3aNAgRUVFqXXr1jp//rwaNmyoYsWKSZI+++wz1a5d28aVAngR9OvXT6tXr1bXrl3Vpk0b9enTR3/88Yfi4uI0atQo5cyZU15eXlqzZo1q1aolOzs7I7yxVACQfiUmJipfvnz65ptv1KhRI7m4uGjMmDHGKJyHh4eqVq2qP/74w8aVpsYIHICnbtKkSZo3b54KFy6sqlWrqnfv3sadcy6eAKRFymn+T5w4oRYtWigwMFAtW7aUJO3cuVPVq1dX6dKllTt3br3//vtq0qSJEhMT5ejoKDs7O/ofIJ35b8uDfPPNN+rUqZOaNm2q/v3765VXXpHFYtH+/ftVtmzZ56qvIMABSJMHdYL/nD0y5d979uzRL7/8olGjRsnX11fVqlVT9+7dmbAEwCPp1q2b+vbtqyJFiqTaPnHiRM2aNUsHDhxQ5syZVapUKeXJk0dt27bV/v37NXnyZPXp00fjx4+XxDpvQHqyfft2eXl5qVixYv/1v/3Q0FC1bdtWL730kvLnz68hQ4YoS5YsypIly3P1qDUBDsAjS9n5XbhwQdHR0Xr55ZdlZ2d33zIA/wx1N27c0OnTp+Xs7KxSpUrZpH4A5hQfH68WLVqoV69eql69eqoLqj/++EMBAQH64IMP9Nlnnylr1qz64YcflC1bNknSr7/+qpIlSz43F2AAno3w8HC1atVKkZGRWrZsmYoUKfJfb0JfvXpVGzZs0PLly3X9+nW1bdtWrVu3NvqS5wEBDsAjSRnIBg8erLVr1+rKlSvKkyeP3n33Xb3//vvKkSPHA7/LHW8Aj6tDhw6KiIjQxo0bJaXuk9q3b6+vv/5atWrV0sqVK+Xi4iIpdd/DY5NA+rN27VrNmjVLt27d0oIFC/41xP1z26FDh5QzZ07lzZv3WZf8X3ElBeCRJF8ojRw5UrNnz9aXX36pCxcuyMXFRdOnT9dff/31r98lvAFIq+T7zYMHD1Z4eLgWLlwoSca7tJI0ZMgQVapUSU2aNDHCm5S67yG8AelHcr/RsGFD+fv7K2vWrHr//ff1xx9/PHAR7uS+Inn7q6+++tyFN4kAB+ARWa1WRUZGasuWLRo7dqzq1aun7du3KzQ0VJ988olKly6thISEVIvqAsDjSr555O7urrJly+qHH37Q4cOHJf0nlLm7u8vLy0u7du2yWZ0Anh/Jr3VI0ttvv63evXv/zxAnPf83nJ/v6gA8F1I+aW2xWJSUlKTIyEjVqVNHW7ZsUdOmTTVmzBh17dpV9+7d04IFC3T69GkbVgzgRZU1a1b17t1boaGhGjdunM6fP59qX//+/bV8+XJt3brVhlUCeF6kNcQ9zwhwAP6rpKQk4853RESEJClbtmzKkCGDmjdvrnfeeUcTJ05Ut27dJElXr17VkiVL9Ntvv9msZgAvLqvVqtKlS2vJkiVauXKlBg4cqJ9++snYX7BgQQ0ePFhVq1a1XZEAnisPCnEuLi7q3Lmzfv/99+d+xO2fmMQEwL9K+TLvqFGjtH//fvXr10++vr5av369PvzwQxUoUEDbtm2TJEVHR6tFixa6d++egoODme0NwFOR3Dft3btXPXv2VK5cueTr66shQ4akaseEJUD68W8TpaWcrTblpEcbN27UZ599pvLly2vmzJnPtNbHRYAD8D998sknmj9/vqZNm6ayZcvqpZde0s2bNzV79mxNnDhR3t7e8vT01NWrVxUVFaUDBw7I0dHxuVozBYB5/HP5kQdJvlg7deqU1qxZo6CgIGXIkEFVq1ZVz549VaBAgWdULQBbSxneQkJCdPv2bTk4OKh69eqS/j3EhYSEqFKlSozAAXix7Nu3T23atNHs2bONjjBZZGSkjh8/rpkzZ8rNzU158+bVhx9+KAcHB+58A0iTlBdiVqtVcXFxcnZ2fmDbfwa9oKAgJSQkKH/+/KpVq9YzqRfA8+OTTz7R2rVrFRcXJ3d3d1mtVu3ateu+PuSffYfZljni6grAf3X58mXFxcXJx8fH2Jbc8WXNmlWVKlVSpUqVUn0nMTGR8AbgkaW8iPrqq6906NAhHTx4UB988IF8fX1VsWLFVO2TL8CSv9e+fftnXjOA58OkSZM0b948rV+/XhUrVtTYsWM1YMAA7d6927ihk3z98s8RfjOFN4lJTAD8i+QZmRwcHOTg4KDr168b+5IH7pctW/bA6bp5bBJAWiRfRAUGBmrMmDGqUqWKOnbsqKlTp2ro0KG6du3af/0egPQpKSlJR44c0bBhw1SxYkV9//33+uKLLzRr1izVqlVLd+/elaT/+Wi2WdDjAZCkf13MslSpUoqMjNTEiRMVGRlp7IuNjdXSpUu1Y8eOZ14rgBfXgQMHtGbNGq1du1Y9evRQ5cqV9eeff6pVq1bKmTOn6ab7BvDk/fMNsOT3Ya1WqzZt2qQ2bdpo1KhR6tKlixITEzVr1iwFBQXZqNonj2ecAEj6T2CbPn26fv/9d2XJkkUdOnRQsWLFFBQUpGbNmikqKkp16tRR9uzZNWXKFF25ckVr1qyxbeEAXihJSUlydnZW5cqVtWLFCnXq1EmTJ09W27ZtFR0drV27dqlKlSpyc3OzdakAbCDlo9YnT55Uzpw5lS1bNr3xxhtasWKFDh06pDFjxqh79+6SpOvXr2vr1q2qXbu2Lct+ohiBA9K5lHezP/30Uw0dOlRnz55VcHCwqlatqoMHD6p+/fravn27Lly4oM8//1zDhg1T5syZFRYWJgcHByUmJtrwDACY1YNG0+7cuaN79+5p6dKl6tq1q0aNGmWsMxkSEqIlS5boypUrz7pUAM+BlOHts88+U+fOnRUSEiJJatmypc6fP6+CBQvqtddeU0JCgv766y916NBBN27cUM+ePW1Z+hPFLJQAJP09Wcm4cePUqlUrlStXTidOnNDAgQO1ceNG7dq1S+XLl9etW7cUHx+vhIQEeXp6ymKxMNskgDRJeSE2Y8YMJSUlyd/fX5JUr149bdy4UZMmTVKvXr0kSTExMWrevLkyZMigFStW8N4bkI4NGTJEM2fO1Ny5c+Xr66ucOXNKkg4ePKiGDRsqZ86cunnzpvLmzav4+Hjt2bPnhVreiKsuAPrmm2/0/vvvy8fHx7iAKlq0qMaNGyeLxaKqVavqxx9/VJkyZVJ9LykpifAGIE2SA1i/fv20fPlytW/fXn/99Zfy5s2rL774Qjdv3tSECRPk6uqqmzdvav369bp06ZIOHTokOzs70037DeDJOHPmjFatWqWZM2eqQYMGxvb4+HiVLVtWe/bs0eHDh3Xy5EkVK1ZMtWvXlr29/Qt1w/nFOAsAjyVfvnzy8/NTcHCwYmNjJf39gnCBAgX01Vdfyc7OzhiVe/nll43vcfEE4HEsWbJEixYt0oYNG1SuXDlje+nSpTV//nx9/vnnGjVqlHLlyqWXX35Z69evZ51JIJ27d++erl69alyPJC8N4OjoqJiYGGXLlk3169dP9Z0XbXmjF+dMADyUB921fv3115UlSxZdv35dfn5+2r17twoUKGCEuBEjRujll1+Wt7e3jaoG8CL6/fff5efnp3LlyhmPNiWHs2LFimnJkiWKiIhQzpw5jceeCG9A+vHPBbclKWvWrLpz545CQ0NVsmRJWSwW49pm3759Cg8PV+PGjZUhQwbjOy/CY5Mp8Q4ckI6kDG/ffvut/vrrL8XGxurtt9/WK6+8oqNHj+rDDz/U2bNntX37diPEpew8uXgC8KR06tRJx48f1549eyT952ItJiZGP/74o7H4brIHXcwBeDGlvGa5ffu2smbNKunvfuCDDz7QwYMHNXjwYDVs2FDS36NsderUkbe3t2bPnm2zup8Fnn8C0pHkjrB///7q1auXDhw4oFWrVql169aaPn26SpQooZEjR+qll15SrVq1dObMmfsulghvAB7Vv63dVqpUKV29elXbtm1TXFyc0d/cvn1bw4cP1/r161O1J7wB6YPVajWuWUaOHKmWLVuqWrVq2rRpk+Lj49WzZ0+99NJLCggI0EcffaQhQ4aoZs2aCg8P1/Tp021c/dNHgAPSgZQD7StWrNCyZcv0ww8/aPHixerdu7eOHz8uDw8PSVKFChU0ZswYZcqUSZ988omtSgbwgkh5F33Tpk3asGGDfvrpJ0lS9+7dlTVrVvXr109r1qzRpUuXdPLkSb3//vvG3XQA6UtSUpJxs2bSpEkaM2aMKleurMTERPXo0UMTJ05U0aJFNWbMGPXo0UObNm3S/v37VbhwYf3yyy/Ge7IvMh6hBF5gCxcuVPPmzZUlSxZj2+jRo3XgwAGtXLlSK1asUJcuXTR69Gh169ZNd+7c0aVLl1SkSBEdP35cRYoUYaISAE9E//79NWvWLLm7u+vChQsaNmyYPvnkE8XGxqpRo0b666+/dPLkSZUoUUKOjo766aefXqhpvwE8mt9//12TJ09Ws2bNjMep+/Xrp/Xr16tdu3bq1q2b3NzcFBsbK2dnZ+N76eFVjxf77IB0bPLkyQoJCVG7du1SbY+OjlaBAgUUEhKiTp06acyYMerWrZusVqtWrVqly5cvKyAgQMWKFZMkLp4APLYzZ85o8+bN2rlzpzJmzKgdO3aoV69eun37tr788kutW7dOx48fN54GqFKlygs37TeAh7d69Wp98MEHypgxo9577z1j+9ixY2WxWPT111/LYrGobdu28vLyMvZbrdZ00WcwAge8wJLD108//aQSJUooW7Zs2rp1q2rXri1JWr58ud555x1J0t27d9WkSRMVK1ZMkyZNsmXZAF4gI0aM0Pnz5+Xk5KTJkycb2+fPn6+uXbvq008/1fDhw+/7HjePgPStU6dOWrx4sQYPHqwPP/ww1dNEn3zyiebNm6fx48erbdu2NqzSNl78iAqkQ8kXPvb29tqyZYu6deum9u3bq3fv3qpZs6a++OILDR8+XFFRUTpz5owiIyMVGBioK1euGJMGMNsbgMcVHx+vO3fuaPbs2apWrVqqfR07dpTFYlH37t0VHR2tcePGpdpPeAPSh38ubxQfHy9HR0fNmzdPcXFxCgoKUp48efTOO+8oc+bMkqRRo0Ypf/78qUbn0hNG4IAXzIPWefvwww+1b98+NWjQQH369FFCQoLGjx+vcePGyc3NTe7u7nJ3d9eGDRt45wRAmj2o/7l9+7amT5+uwMBAzZw5U127dk21f+rUqVqxYoV27drFTSMgnUnZZ8yZM0c///yz7t27pwoVKqhPnz6SpNatW+vgwYMaMGBAqhCXLD1esxDggBfIPzvCzJkzG3en+vbtq127dqlp06bq3bu3smbNquPHj+v69etycXFRiRIlZGdnxzsnANIkZf9z9OhRXbt2Td7e3sqVK5cyZMigwYMH64svvtDcuXPVsWPHVN9NHvFn5B9InwYMGKAlS5aoRYsWypUrlz799FP16dNH48ePlyS1adNGhw4dUvfu3dWpU6dUi3SnR1ylAS+QlOu8LV26VD169FBERIQ8PDw0fvx49e3bV999952sVqt69OhhTFSSLCkpifAG4JGlXLMpMDBQ69at05UrV1S8eHG5u7tr1qxZGjx4sBwcHNSlSxdZLBa9//77xvcJb0D6kvK/959++kkrV67UsmXL9Prrr2vz5s1ycHBQiRIljPaLFy9WnTp1tGfPHvXo0cNWZT83mB8ceMEsXLhQCxcu1Nq1axUYGCgPDw8lJiZKksaPH6+qVavqhx9+0OjRoxUdHZ3quywZACAtki/Exo8fr3nz5mnatGmKiIhQ8eLFtX79ev32229ycHBQv379NGTIEHXq1IlFuoF0yN/fP9U6b5IUHh6uvHnz6vXXX9d3332n5s2ba8qUKerUqZMiIyO1bds2SX+vI7l48WLjhk96xtUa8AJI2ZEdO3ZMDRo0UNmyZY3glrKjHDdunEqUKKFr164pU6ZMz7xWAC+G48ePG/9stVp179497dmzR8OGDdObb76pjRs3avHixZo0aZKqVq2qmJgY2dvbKzAwUHPnzpWfn58NqwfwrB07dkznzp0zrk2Subu7y2KxaMaMGerQoYPGjh2rDz74QJL0888/a/r06Tpz5oykv280/zMApkcEOMDEfvvtN124cCFVR3b8+HGdPXtWkuTg4GC8lxIXF6f9+/dL+nv67jlz5nAXC0Ca9OnTR9OmTZP0n0ehnJycFB0drSJFimj9+vVq0aKFxo4dqy5duig+Pl6LFy/Wtm3b5OjoqI4dO8rBwUEJCQk2PhMAz0ryiLyjo6MWLVpk/Pfv7u6uxMREBQQEqF+/furWrZskKSYmRpMnT1bmzJnl7e1tHIenhQhwgGktXbpUrVu3Vv/+/XXz5k0jiNWuXVvXr1/Xpk2bJP2no4uIiNCgQYO0c+dOYzt3sQCkRcOGDY3JBcLDwyX9HeScnJz00UcfqW3btvrqq6+MC7ErV65o+fLl+uuvv1Idh3dugfQh5c3iy5cvq2fPnnrzzTeVlJQkHx8fde3aVTly5NCZM2f0zTffaM2aNWrQoIHOnz+v+fPnc8P5H5iFEjChBQsWqFevXpo8ebLKlCmjMmXKGPtOnz6tFi1ayMvLS61bt1bTpk114cIFBQQE6Pr169q9e3e6m24XwJPxz4lGlixZopkzZ2rs2LGqXLmyzp07p1q1ailr1qzat2+fEhISFBMTozZt2uj27dvauXMn/Q+QzqScofb27dvKmjWrQkND1bp1a+XKlUs//vijLBaLZs+erQ0bNig4OFjly5eXu7u7vvnmG5Y3egACHGAyISEhatGihcaPH6933nkn1b67d+8qU6ZMOn36tHr37q0TJ07oypUr8vb2lpOTk/bu3UtHCCDN/rnO2/LlyzVz5ky5uLgoMDBQlStX1qZNm9SyZUvly5dP9vb2ypIli+7evauff/6Z/gdIZ1L2GZMmTdK1a9fUunVrFStWTKGhoWrZsqU8PT31008/yWKx6O7du7px44bc3NyUOXNmWSwWljd6AAIcYDKLFy/W4sWL9f3338vZ2VmStGXLFu3YsUNr165V7dq11a1bN+XLl0/nz59XSEiI8ufPr6pVq8re3p6OEECapLwQ27lzp0qUKCF3d3etXbtWU6dOlZOTk4YNG6Zy5crpypUrCgoKUlJSkvLkyaNWrVrR/wDpWP/+/bVgwQJNmjRJr7/+uvLnzy9JRojLkyePduzYcd/NHZYXeTACHGAy48eP15dffqlTp04pW7Zs6tu3rw4cOKCYmBiVLl1awcHBqlKlinFXPCXufANIi5QXUYGBgVqxYoUGDx6sli1bytnZWatXr9b06dPl7OysQYMGqXLlyvcdg/4HSJ/WrVsnf39/rVixQpUqVbpv/4EDB9SqVSs5OjrqyJEjTFLyEPg3BJjM22+/LR8fHxUtWlSFCxfWt99+q9atW2vlypWaM2eOhg8frhUrVtw3WYAkLp4ApElyeBs9erTmz5+vRYsWqWHDhsZTAE2aNFGPHj0UHx+vESNGaM+ePfcdg/4HSB+Sx4aS//fPP/9Urly55OPjc18bSSpfvrwWLVokHx8fJip5SDzHAJhMsWLFNH78eIWEhOjOnTvy9/eXi4uLcYGVO3dulStXTpkzZ7ZxpQBeFMnrvAUHByswMFCvvfaasS/5scgmTZrIwcFBQ4YM0Zo1a1K1AZA+7N+/XxEREapSpYpy5Mgh6e9ZsOPj45U1a1ZJ/xmNt1qtWr9+vQoXLixfX199++23qfbj3zECB5hI8p2pChUqqHfv3vr000/l6upqhLeYmBhNmTJFefPmNZ4vB4C0uHbtmvHPFotFt2/f1qFDh5Q7d25Jf78TJ/29FEBMTIwiIiLUoEEDTZw4UaNHj7ZJzQBs5+uvv1abNm20fft2XbhwwdjepEkTHT58WGPHjpX0n9H4yMhIzZs3z1ijNhnh7X8jwAEm8s8XeZMD3Z07d7Rnzx41bdpU586d0/Lly2WxWIwLLAB4FKtXr1a7du20YsUKY7FdDw8Pvfrqq/ruu+90584d2dnZKTExUZIUFham6dOnKzo6Wm+++aaxziSA9GHhwoXq1q2bAgMDFRAQoFdffdXYV6ZMGQ0fPlwDBw7UwIEDdejQIe3bt0/vvfeezp49q/fee892hZsUAQ54Dj3oGfAHbbNYLIqJidHEiRM1cOBAOTo6KiwsTA4ODkpMTORFYACPbN68eercubMqVKigHDlypJo10s/PT6dOndKECROUlJQke3t73bt3TyNHjtSBAweUKVMmoy39D5A+HDt2TF999ZXmzp2r999/P9UTQFeuXFFUVJQGDhyoGTNmaPbs2Xr77bfVoUMHxcbGKjQ01LhmwcNjFkrgOZNyqu5/Trn9b8+F//zzz7p9+7aqV68uOzs7puoGkCbr1q3T+++/rxkzZqh58+b37Y+Pj9fgwYO1YcMGWa1WFS9eXKdPn1ZsbKwOHjwoR0dHpv0G0pk9e/aoU6dO+u6774yJSlauXKng4GCtW7dOWbJk0aRJk1S3bl1dvnxZ4eHhcnR0lI+PD9csaUSAA54jKcPbzJkztWvXLtnb26ts2bLq27evpP/9cu8/F9oFgIfVs2dPSdLkyZONfuT48eMKDQ3VxYsX9dprr+mNN97Qjh079P333ys6Olr58+dXYGCgHBwcuBAD0qHkZQJmzZqlSpUqKTAwUL/88ou8vLxUuXJlHT16VKtWrdLevXtVunTpVN/lmiVtCHDAc+iTTz5RUFCQ2rVrp/j4eK1evVpvv/22pk2bJokZmgA8eXFxcapataoqVqyoiRMnSpK+/PJL7dixQ7/88oucnZ2VOXNmBQYGqmPHjvd9n34JSL9q166tX375RUlJSXJzc9PIkSNVrVo1ubu76+jRo6pRo4amT5+upk2b2rrUFwK3yYDnzJIlS/Tdd99pzZo1qlSpklauXKmZM2dq0aJFunXrlpYsWSJ7e3vudAN4opycnNS0aVMNGDBAjo6O2r17t65du6aOHTtqwYIF8vT0VPPmzbV69Wq99957ypAhQ6rvE96A9Cf5xs2WLVu0ceNGJSQkqG7duqmuTywWi3Lnzi13d3cbVvpi4eoPsLF/vi8SFRWl9957T5UqVdIPP/ygDz74QCNGjFDGjBnVo0cPubm5adq0aYQ3AE9c27ZtFRMTox07dqhAgQL6+uuvlSdPHmNdSR8fH4WFhRHWAEj6+8ZNcoirW7fufftv376tAQMGyN3dnbUhnyAeoQRs6Ny5cypYsKAkadWqVapZs6ZcXV117tw5Zc6cWX5+fnr33Xc1YMAA/fHHH6patarCw8P16aef6osvvrBt8QBeWLGxsXJ2dk61LTo6Wk2bNtUrr7yir776ykaVATCDGzdu6MCBA5owYYIuX76s0NBQOTo68s7bE8K/QcBGQkJC1KJFC61du1YfffSR3nvvPd26dUuSVLBgQZ0+fVqRkZGpZoKrVq2aNm/erGHDhtmoagDpQcrwFhsbq7/++kvvvPOOrl27plGjRkl68NImAF5Mj/rf+6RJk/TZZ58pR44cOnDggBwdHZWQkEB4e0J4BguwkUyZMqlIkSLy9/fXnTt3dPToURUoUMB4FCFnzpyKjo7WrFmz1KlTJ/Xp00eZMmVSzZo1ZbFYmDAAwFMXHR2tzz77TAcPHlRSUpL27dtnrNlE/wOkDylHzaKjoxUTE6McOXIY+x+0dMiwYcPUqFEjlSlTxrhm4dWPJ4cYDNhI6dKl5ePjo8uXL6tgwYL67bffJP39PHlSUpK8vLz08ccfKygoSLVr19aNGze0bNkyWSwWWa1WLp4APLKkpKQHbv+3RXRv3LihkiVLqkmTJtqxY4dxF53+B0gfUoa3kSNHqkGDBnr11VfVu3dvHT16VJKM65KU35GksmXLymKxKCkpiT7jCeMdOOAZSr5LlXz3etu2bYqNjdXy5ct1+vRpde/eXa1btzba3717V9evX9fFixdVsWJFFrwEkGYpL8TWrl2ry5cvy2KxqFWrVsqaNeu/jqql/B4jb0D6NGjQIM2bN0+ffvqpihQpovfee0/VqlVT79699eabb0p68Egcng4CHPCMpLwI+ucEAQcOHND48eN1/vx59ezZUy1btpQkzZo1Sy1btpSrq6skLp4ApE3KC6tPPvlEK1asUPbs2eXs7KybN29q27Ztyp07NxMMALjPpk2bFBAQoLlz5+q1117T/v379frrryt79uwqXry4vvjiC2aYfMYIcMAzkPKiaNq0adq7d69iYmJUtWpVdenSRRkyZFBYWJjGjx+vU6dOGQti/vbbbzp37hwXVACeiEmTJmn06NFau3atypcvrzlz5uiDDz5QgQIFtG3bNhUqVIgQB6Rz/+wD9u/frwMHDqhHjx7atGmT3nvvPU2ZMkVVqlRRiRIlVKdOHX3wwQfy8/OzYdXpCz008Awkd4SffPKJhg0bppdfflk5c+bUggUL1KNHD927d0/lypVTv3799Prrrys4OFh2dnY6ffq07Ozs/vW9FQD4b1K+23b9+nX99ttvmjBhgsqXL69169bpo48+0ueff648efKodu3aOn/+vOzs7JhhEkinjh07luqdt02bNqlUqVJq2rSp7ty5ozFjxqhv375q3bq18uXLp6JFi2rt2rXatm2bjStPX3iRBnhGFi9erNWrV2vDhg0qX7681qxZo6CgIEVGRqp9+/ZatGiRXn31VRUuXFh2dnbKmDGjLBYL77wBSJOUEwccO3ZMxYsXV6tWrVS0aFH9+uuv6tWrl0aPHq3u3bsrR44c6tGjh4oVK6ZTp07Jy8vLxtUDeNb++OMPlShRQhMnTtTp06f19ddfKyQkRBkyZJCnp6euXbumGzduKH/+/JKkuLg4VapUSZMnT1aVKlVsXH36wlUh8BQ86EXeuLg4NWzYUOXLl9f333+vTp06afTo0UpMTNTw4cPVvXt3TZ8+XVmyZDG+k5SURHgD8Mg2b96sb775RgsXLlTv3r31+++/64cfflDNmjUl/f1OS9GiRdWmTRtJkru7uzp16iR3d3d5eHjYsnQANlKkSBEtWrRInTt3lpOTk3bv3q2iRYsa+xMSEnT37l1t2LBBd+/e1Zo1a3Tjxg3NmDGD5Y2eMa4MgacgedrcuLg4ZciQQZLUsWNHXbhwQdeuXdPnn3+uAQMG6MMPP9TFixc1adIkrV69Wrlz59aIESOM4/AeCoBHFR8fr+PHj+vAgQMqV66cTp8+rf379ytjxoxGm0uXLmnfvn1ycnLSnTt39PXXX6tYsWJG/8OFGJD+WK1WZcyYUXFxcYqLi9Pu3bv1yiuvyN7eXlarVZ6enlq4cKE6d+6sP/74Qzly5NCePXtY3sgGmMQEeML27NmjvXv36vvvv5eTk5MaNWqkWrVqycfHR5IUEhKid999Vxs2bFDJkiV1/PhxDRkyRC1atFCTJk0IbQAeW1JSkurVq6fNmzeradOm+vbbbyXJeCT73LlzatSokU6fPq38+fPLYrHo119/ZcQfSGce9MRQeHi4Nm3apI4dO2rUqFH6+OOPJf3npnJ8fLyio6Pl6urKqx42wpUi8AQtWrRIHTt2VGhoqDw9PZUtWzYFBASoV69e2rx5syQpR44cypw5s+bPn6/Dhw8rICBAktS0aVPZ2dn964K6APAwEhMTFR0drbfeeksDBgzQ2bNn1blzZ0mSg4ODEhMTVbBgQf3www8aN26cevfubYQ3+h8g/UhKSjLCW1RUlCIiIiRJnp6e6tChg6ZMmaLAwEBNnDjRmNioW7du2rVrl9zc3IynjQhvzx4jcMATMmvWLAUEBGjOnDmqV6+e3NzcJEnr1q1Tly5dVKRIEY0bN06lSpXSyJEjtWTJEt29e1f58+fXrl275OjoyCKYANLk36b+v3v3rubMmaMFCxaofPnymjt3rrHvl19+UZkyZYy/eWwSSD9S9hmjRo3SunXrdPXqVZUtW1ZjxoxRnjx5ZGdnp+nTp6tnz5569913de7cOd28eVNHjhwhtNkYAQ54Ar7++mt16NBBa9asUYMGDYwLoeT/3bhxoxo3bix/f3+NHz9e0dHRunbtmiIiIlS+fHnZ2dnxCAKANEl5IbZu3TqdPn1a2bJlU5UqVVS4cGHdvHlTX3/9tRYuXKiSJUvqq6++Ups2beTq6qqVK1fauHoAtjRo0CDNnz9fn376qcqUKaNGjRqpSpUqGjJkiMqWLSuLxaLvvvtOS5cuVa5cuTRp0iQ5Ojpyw8fGCHDAY7BarYqKilKpUqWUPXt2ffPNNypWrJixL/nFXovFok8//VRz5szRoUOHlCdPnlTHoSMEkBYpR+0HDBigFStWKGfOnHJ1ddWVK1e0ePFilSpVSjdv3tTKlSs1btw43blzR3nz5tVPP/0kR0dHG58BAFvZunWr+vTpoxkzZuiNN97Qrl279Pbbb8vZ2Vne3t6aPXu2SpcuLQcHB927d8+YCIkbzrbHO3DAY7BYLMZd7JiYGA0aNEj79+839lmtVuO5cR8fH8XFxSkmJua+4xDeAKRFcnibPHmylixZomXLlik0NFQNGjTQkSNHVKdOHYWGhipbtmxq06aNtm/frkWLFmnv3r1ydHRUQkKCjc8AwLOQlJRk/HPytYmTk5N69OihN954Q1u2bFHTpk01Y8YMnTx5Un/++aeGDBmi/fv3G7NTJn+X8GZ7BDjgMSUlJalixYoKCgrSr7/+qjFjxqQKcckuXryoSpUqKW/evLYqFcALIvnGkNVq1bVr17R//36NHDlSlSpV0vr16zVo0CANGjRIJUuWVJMmTXT48GFlypRJefLkUY0aNYxHvLkQA9IHi8WimJgY3b17V3fv3pXFYlGlSpXUsGFD3b17V6NHj1avXr3Url07OTo6qlChQtqwYYPmzp2b6lqG9/SfDwQ44BH986ljOzs7I8QtWbJEv/76q8aOHWuEODs7O928eVM7duxQuXLl5OzsbIuyAbxAki+iLBaLcubMqe7du+u1117T4cOH1bNnT40ePVrDhw9X48aNdenSJZUuXVrHjh1LdQxG/oH0YevWrfL391exYsVUuHBhNWzYUBs3bpSzs7Py5s2r27dvKzw8XMWLF5ckOTo6qnz58jp16pTmzJlj4+rxILwDBzyCy5cvK3fu3A+c8S152/79+9W6dWuVLl1aAwcOVJkyZdSgQQNFRERo7969cnBwYLZJAGnyxx9/6I8//tCePXuUP39+vfnmmypRooSxf9asWVq9erVWrVqlzJkzG/9cqlQpffTRR4Q2IJ1ZsGCBhg4dqvr16+vll19WVFSUNmzYoP3792v27Nnq3Lmz7t69q1deeUUvv/yymjdvruXLl+vGjRs6cOCALBYL7+k/hwhwwEP64osvNHjwYJ04cUIvv/zy/wxxbdq0UZkyZXT27FlFRkbqyJEjzNwEIM2WLVumiRMn6u7du4qNjdWZM2fk7e2tDh066NNPP5UkjR49WiNGjNCvv/6q3Llz691331XRokU1evRoSUyYBKQns2bNUq9evbRo0SI1adLEeALoyJEjGjdunIKCgrR8+XK98847OnbsmBo3bqysWbMqe/bsWr9+PcsbPccIcMBDOnv2rPz9/XXo0CHt3LlTRYoU+a8hLjQ0VLVq1VLBggUVGhpqTBjAOycAHtXs2bP18ccfa8yYMapevbpefvllnTx5Ut27d9eZM2fUvn17DR06VH/88Ye6d++u/fv3K3/+/LJarfrtt98Y+QfSme+++07NmzfXjz/+qNdee81YtDu5Dzhx4oQCAgJ08uRJBQcHq2DBgoqNjdWdO3eUPXt2WSwWrlmeY7wDBzwkb29vzZs3T5UrV1bVqlV15swZ4/23lJK3VahQQWFhYQoLCyO8AUizhQsXqnv37lq+fLm6deumIkWKyGKxqEiRIvr6669VsmRJLViwQLt27VKRIkU0ceJETZw4UT169DDCW2JiIuENSCfu3r2r0NBQSVJ4eLikv69NUo7ZFC1aVC1bttTFixd19+5dSZKzs7Ny5Mghi8WipKQkrlmeY4zAAf9DylG2xYsX6/LlyxowYIAKFSqkjRs3/uvjlCnvdvPYEoC0CAsLU5UqVdSyZUsFBQVJ+k+flPy/4eHhKlasmFq3bq1p06bddwz6HyD9OX/+vGbMmKFp06Zp8uTJ6tChg6T/LCFgZ2enixcvKn/+/NqyZYtq1Khh24LxSBiBA/6H5GA2YMAABQYGysHBQf7+/sqYMaPefPNNnTx58oEjcSnvdnPxBCAtihUrpubNm+vcuXOaNGmS4uLiUoW3uLg4eXp66t1339WRI0d07969+9Z2o/8B0p/8+fOrZ8+e6t69u3r37q2FCxdKSn1tsnPnTlWsWFGlSpWyUZVIK8ZGgYdw+vRpLV++XFOmTFHjxo0lSb///rt69+6tqlWravfu3XrppZceOBIHAGmRmJiozJkza/bs2fL399eyZctksVjUrVs3OTk5KSkpSU5OTpL+vtteqFAhY7FdAOnLg64/8uTJo969e0uS8b8dOnSQnZ2dbt++rWXLlql06dLKmTPnM68Xj4crTeAh3L17V1evXk21CHexYsU0cuRIxcbGqkGDBjp+/DjhDcATY29vr6SkJGXOnFnTpk1T0aJF9c0332jmzJnGSJwknTlzRvHx8apataptCwbwzK1atUq3bt267x23ZMkhLnkkbvHixZKkd999VxcuXNDUqVNlsVge+F08v3gHDviHf5uprWLFiqpYsaImTpxovNh79+5d1alTR/v371fNmjW1bt26Z10ugBdc8p316Oho+fv768SJE2rZsqV69+4ti8Wi+vXrKzo6Wlu3buVxSSAdmT9/voYNG6Zu3brJ399fLi4u/3oNc/HiRU2ZMkWzZ89W5syZlSlTJpY3MjGGC4AUkqfZlaSrV6/q6tWrxvaGDRvq4MGDmjx5stE+MTFR7u7u2rZtm9auXWuTmgGYX/PmzTV8+PAH7rOzszMep0weiVuxYoWmTZsmPz8/nT59Wlu2bJG9vb0SExOfceUAbKVDhw5q2rSpvvvuO02ZMkWRkZH/OpqWJ08e9erVS23atFGRIkWM8JaQkEB4MyFG4IAHGDRokDZv3qyLFy+qW7duCggIkL29vfr166eQkBBlz55d1apV0/r165WQkKCQkBDjcSceowTwqEaMGKHBgwfrq6++Up8+fR7YJvkueXR0tHr16qXFixerWLFiLFUCpEOxsbHGwty9evXSL7/8onr16qlXr17KkiXLv47ERUREKFeuXKzzZnL8vwYo9cu/s2fP1oIFCzRo0CBdu3ZNI0aM0JkzZzR27FiNGzdOa9as0fLly7Vjxw4VLFhQQUFBhDcAaZaYmKhPP/1UWbNm1YcffiiLxSJ/f//7LqxSvhM3efJkFS9eXAEBAXJwcOBCDEhHrFarEd6+/vprZciQQceOHdOJEydkZ2enHj16KGvWrA8McR4eHsYx6DPMixE4IIXQ0FBt3LhRPj4+at68uSQpODhYLVu2VP369fXll18aE5ncu3fPmPGNiycAaZHy3ZMzZ85o5MiRWrhwoSZPnqxu3bo98A76P99Xof8B0qehQ4dq0qRJmjx5sjJmzKiFCxfq7Nmzat26tXr16vWvIQ7mR48P6O87UUePHlWlSpUk/T0Kl6xWrVpavny53n33XTk6OiogIEAlSpQwwht3sQCkVXIQ69+/vzZu3KhSpUqpUKFC6tmzp2JiYhQQEPCv30lG/wOkL1arVdeuXdPq1as1atQotW3bVtLf79J+8MEHmjlzphwcHNS9e3dC3AuK570A/b2wZcmSJbVq1SpJ0k8//aQrV64Y+2vWrKkVK1Zo/vz5901WQqcI4HGsXbtWM2bM0Ny5cxUUFKSQkBB9/vnn+vjjjzVx4kQlJSXZukQAzxGLxaIsWbLIwcFBd+7ckfT3SLwkzZo1S7ly5dLs2bP15ZdfKjo6muuUFxABDunSv10QNWnSRIsXL9aiRYs0fvx4Xb9+3dhXo0YN7d+/X/369XtWZQJIB27evKnChQv/X3v3HVXVsf5//A0cFCvW2EtAvfbeNfbea+w1FjT2BmLXaMResEURFLtij4q9oMYasZdoLKjYAaXD4feHP86FmOSbmFwRzue11l0x++y9nbMuTOZ5ZuYZSpUqhcFgIEOGDDg7O+Pk5MTIkSNZuXKlqkuKmLHfG7NYW1uTKVMm9uzZg9FoxGAwmPqJIkWKABAcHEzKlCk/aVvl01AAJ2YnbrGRLVu24Orqyty5c3n58iXR0dF07NiR1atXM2PGDGbOnBkviCtbtqypYICIyL8hbdq0XL16lUePHgGYBmGNGjXCaDTSp08fNm/enJBNFJEEEnfMcvHiRX755RcePnyIwWBg0aJFXLp0ic6dOxMcHGw6PiA8PJxZs2Yxf/58HdKdRKmIiZgtJycnPDw8KFmyJL6+vhQqVIgRI0ZQr149DAYDa9asoXv37vTu3RsXFxfSpk2b0E0WkUQs7kAsMjISa2trAAIDA2nTpg02NjbMnTuXfPnyAXDr1i1cXV2pWrUqrVu31l43ETPm6OjI2rVrMRqNFC5cmKFDh9K4cWOOHDlC27ZtyZEjB1myZOHNmzcEBQVx/fp1VchOwvRfAzFLCxYsYN26dezZs4fSpUuzdetW2rRpQ0REBEajkQYNGtC5c2dCQkJYtWoVadKkSegmi0giFhMTYxpELVq0iJ9//pl06dLRq1cvChYsyIABA1iwYAHdunVj3Lhx2NjY4OLigqWlJQsXLgRUbVLEnMQtPHLy5Ek2bdrE+vXruX//PocPH6Z///64urrStGlTbt68ydy5cwkODiZZsmRMmzYNKyurDyrWStKhGTgxO0FBQUydOpV8+fLRu3dvvLy86NWrF2PGjMHT0xOAKVOm0LBhQ1OGHFAVJxH5KHH7jqlTp/L999/Trl07duzYQf78+XF0dKRFixYcPHiQ5cuX4+XlRb58+UifPj3Hjx/H2tpa/Y+ImfLw8MDX15dMmTIxZswYAK5du8a8efPw9vZm3rx5tGrV6oM+QgmfpE3/z4rZSZ06NS1atCBfvnxcu3aN0aNHM3HiRAYPHkzx4sVp0qQJ48aNI3369Hz11VemTlGDJxH5GLF9x40bN7h27Rre3t5UqVKFBQsW0KZNG2bMmIHRaKRVq1bUqVOHmzdvkiJFCnLlyoWlpaUGYiJm6uHDh2zatAkfHx8cHBxM14sUKcKQIUOwtLRk+PDhRERE0L59+3jPqs9I2rQoVsyOpaUlFSpUIHPmzJw7d45MmTKZOr7AwEDatWtH5cqVqVy5MqBjAkTkn1u+fDkdOnTgzp075MyZE4BUqVLh6elJunTpmD17Nhs2bCA6OpqCBQuSJ08eLC0tTdXlRMT85M6dm1GjRlGzZk3c3d3x8fExfVakSBEGDx5MuXLl2LRpUwK2UhKCAjgxS7F7UV68eMGbN294/Pgxb968wdPTk2LFirFkyRLT+nERkX+qVq1aGAwGrl+/zpkzZ0zXM2XKhKenJxkyZGDixIkcOXIk3nMqPiBiHv7oeKMaNWowfPhwvvrqKwYOHMipU6dMnxUuXJgZM2awZcuWT9VM+UxoD5wkSX+16tLTp0+pVKmSqcRu+vTpOXfuXLy9byIif8cf9T8PHz6kRYsWpE+fnrFjx1KzZk3TZy9evMDFxQUXFxcVHRAxM3H7DDc3N06fPk3y5MkpU6YMPXv2BODw4cMsXryYe/fusWjRIipVqvSH75CkTwGcJDlxO7E9e/aQIUMGKlas+MF9sdWZ/P398fb2xsLCgo4dO5rOedOyJRH5u+L2P9evXycgIIAiRYqQLFkyUqRIwb1792jVqhWZM2fG2dk5XhAXS5XjRMyTo6Mjnp6eNG/eHKPRyN69e+nRoweTJk0C4MiRIyxduhQfHx/27dtHsWLFErjFklA0QpUkJW6pbkdHR3bu3MngwYMpUKAA6dOnNx1oaWFhYVoimTVrVrp162Z6R3R0tII3Efnb4vY/Y8aMYdOmTQQEBJA1a1Z69OhB+/btsbOzw8vLizZt2uDi4kJ4eDgNGjSI9x4FbyLmZ9WqVXh5ebFt2zYqVKjA+vXrWbVqFTNmzCAgIID58+dTs2ZNwsPDyZ8/P4ULF07oJksC0ihVkpS4pbrd3d3ZunUrlSpVijcg+m0Q91saPInIx4jtf7777jvc3d1xd3enfv36tGrVinnz5vHy5Uu+/fZb7O3t8fLyomrVqnh7e38QwImIeTEajTx9+pSePXtSoUIFdu3aRf/+/Zk2bRoRERE4OzuTLl06Jk2aRIMGDUx9hmbrzZeWUEqSEhMTw7Nnz2jdujUDBw6kffv2+Pn5cfv2bTZu3EiePHlwdnY23asKkyLyb7p58yZ9+vRhxIgRNGvWjP3799OmTRsqV67M9evX6dKlC99++y3Zs2fnyZMnZMmSRQMwESEsLIwnT55gY2ND/fr16datGyNGjODChQvUqVOHwMBAZsyYwYgRIxK6qfIZ0AycJHpx95xYWFiQOXNmLC0tOXbsGOnSpWPFihX4+flha2vLqlWrCAwMxMXFRcGbiPzrsmfPzuDBg6lVqxY+Pj507dqVmTNn0rdvX5o0aYKnpydv3rxh4sSJZM+eHVAWXcTcxcTEYGNjg52dHUeOHCEqKoqOHTsCkCxZMho3bkzHjh2pX79+ArdUPhcqVyOJWtzgbceOHezfvx8rKysaNGjAlStXaNasGfb29kyfPh1vb2969erF69evE7jVIpJUpU2blvr165M6dWpTMYJvvvkGeH+mU9q0aQHInDmz6RkFbyLmLW5C2dbWlidPnrBu3Tr8/PxwdHTEaDTSsGFDHW8kJpqBk0QrbsGAUaNGsW3bNvr27ctXX33F8OHD6dGjB8HBweTPn9/0zJUrVz4ovSsi8m9KnTo1AK9fvyZ58uRERkZiMBh4/fo1M2bMoGHDhvH24opI0vdXy/zb29szaNAgJk+ezKJFi8iQIQM7duww9RlK+AhoD5wkAa6urkyePJmdO3dStmzZDypIBgcHc+PGDcaMGYO/vz8XLlxQlUkR+Wi/Dbz+aGDm7OzMzp07sbe3x9/fn6CgIK5evYqVlZXObBIxI3F/31esWEG2bNmoXbs2NjY2v3t/YGAgT5484fHjx9SsWRMrKysdbyTx6L8ekqhcu3bN9OeYmBgiIyM5ceIE/fr1o2LFiqbMlNFoNN23d+9epk+fjqWlJefPn8dgMGgJgoh8FKPRaArerly5AvBBIBabF502bRqtW7cma9aslCxZkitXrpiWQCl4EzEPvz3eaNy4cdy9e5fQ0NA/fMbW1pZChQpRp04dU5+h4E3i0k+DJBpDhw4lIiKCRYsWmTLgFhYW+Pn5kTt3buC/68gtLS0JDw/nzp07tGrVity5c1O2bFksLS2VxRKRjxI3iz5x4kQOHz7MkCFDaNWqVbz7LCwsTIVJYg/gjaX+R8S8xI5L5s6di7u7OwcOHKBEiRLAfxNCsff80bJqLZuU31IKUBKNFi1aMG/ePACePHkC/Lfq5MmTJ4mIiIh3/5MnT5g9eza3b9+mfPnyWFpaYjQaNXgSkY8SG7w5OTmxaNEixo0bR8WKFX/33j8acKn/ETE/0dHRXL58mf79+1OiRAnu3bvH5s2bqVGjBt9++y0//vgjgPbEyl+mPXDy2fttRmrNmjUsXryYGTNmULVqVe7cuUPFihWpW7cuixYtwsbGhoiICDp16kRkZCTe3t5ariQi/4ozZ87QrVs3Vq1aRYUKFQgODubVq1ccO3aMBg0akDlzZhUnETFzcWfrY4fZ9evXJzAwEAcHB9auXYuVlRWZM2fml19+IW/evKxatYrkyZMnZLMlEVEqUBKVsLAwsmXLRooUKUxnuVWpUgUvLy/atWtHlSpVMBgMpEqVivDwcM6dO2eaeVMQJyJ/12/7joiICF6/fk2mTJm4fv06bm5u7Ny5k4CAAMaPH8/58+fJmDFjArZYRBJS3D5j6dKlpEqVii5duuDm5karVq2YOnUq3bt3p169epQvX54lS5awefNmNJ8if4dm4OSztmvXLnLmzEmpUqUYMWIEr169wt3dnV27duHq6oqlpSUTJ06kQoUKBAUFsWrVKkJCQsiYMSM9evRQ5SYR+WhxB2IXLlygZMmSvH79mo4dO3Lnzh0CAwNp164dX331lenMyalTp9K7d+8EbrmIJLSRI0eyZs0aHB0dad++PVmzZiUyMpKAgADTOZBRUVE0bdqUL774Ag8PD83cy1+mAE4+WxERETRo0IDLly/ToEEDdu7cyYkTJ0ybf2ODOCsrK5ydnalateoH74gtJCAi8nfEXQY5btw4vL29cXBwoGfPnly+fJmLFy+SI0cOqlatSooUKXj79i1169bF2dmZZs2aJXDrRSQhrVmzhhEjRrBv3z5KliwJxE8IvXv3jh9//BFPT08ePHjAxYsXsba21vJr+csUwMlnL0uWLAQFBeHh4UG7du3iBWW7du1i8eLFWFlZMXLkSKpXr57ArRWRxOy3A6iJEyfi6uqKl5cX+fLlI0eOHPHuDw8Px9/fnwEDBuDv789PP/2kpJGIGTl9+jSVKlWKd238+PHcvHmTjRs3mo4AiO1bYmJiuH//PlOmTCEoKIgNGzZgMBi0Wkj+Fm0Kks9O3DPc3r17R+bMmSlatCgjR47k/PnzWFlZmdaKN23alG+//ZYnT56wc+fOhGqyiCQRcYO3hw8fsnfvXpYuXUr16tVNwVtsHxUZGcn69evp1asXr1694tSpU6Yzm0Qk6Zs+fTrDhg37YP/a9evXefr0KRYWFhgMBtNxAVFRUVy8eJHMmTPj4uLC5s2bTWfTKniTv0MBnHxW4i4xOHjwIO/evePq1aucO3eOwoUL07JlSy5cuBBvkNWgQQNWr17NzJkzE6rZIpLIdejQgdWrV8e7Fhoayo0bN0iTJk2867HnTFpbW1OsWDE6dOjAiRMnsLa2JioqSjNwImbCycmJEydOYGFhwS+//GK63rp1a54+fcr69euB/x5B4u/vz/jx4zl79iyZM2fGwsICo9GoPkP+NgVw8tmIiYmJd87S4MGD8fb25tWrVwBs3bqVQoUK0apVK06fPk1gYCCtW7dm+PDhFC1aFEtLS2W+ReRv8/f3p2LFinTo0OGDz7JmzcrTp09NGfbYfx48eJC5c+dSpkwZevbsaZp5UxZdxDxERUUB78923LNnDwUKFDCd51ahQgX+85//sGrVKn744QciIyO5ceMG/fv359WrV/G2e6hCtnwM7YGTz87kyZNZtGgRGzdupFKlSvHORYmKiqJx48YcO3aMAgUKEBkZyeXLl7G2tk7AFotIUrF48WJevXrFuHHjAGjXrh0+Pj5s3bqVChUqAO9n5tq1a0fGjBlZuXKlig6ImJnIyEjTuOPhw4fkzJmT3r174+Xlxdq1a2ncuDFXrlxh9uzZptVE2bNnJ23atKbZehVZk39CAZwkqBUrVtCzZ09TBurRo0c0b94cZ2dn2rRpg7+/P/fu3WP37t1ky5aNgQMHAuDu7o6lpSWdOnXS5l8R+Whxl20bjUYGDhzIvn37cHBwYOTIkQDUq1ePS5cu0aZNG1KlSsXZs2d59eoVly5dilecQESSvoMHD7J7927mzZvHt99+y61bt9i9ezc2Njb07t2bdevWsXHjRpo0acKbN294+/YtJ0+eJGfOnFSuXFnHG8m/Qj89kmD27t3LokWL6Nmzp+lamjRpSJ48OTdv3sTb25vVq1dz+/ZtrKysuHbtGq9evWLixIn06NHD9IyWLYnIx7h+/Tq5c+cmderUjBs3jqZNmzJ69GhsbW1xc3MD3p/ltH//fsaOHcvt27e5e/cuJUuWZPbs2UoeiZiZqKgojhw5wsmTJ6lUqRK3bt3i9OnT2NjYALB8+XLg/cz95s2badSoEenTpyd37tymd2jMIv8GzcBJgorNfh87doyvvvqK6OhoBg4ciK+vL2fPnmXYsGE0aNCA6tWr07VrV3Lnzs306dMTutkikogZjUbu3LlDoUKFmDNnDnfu3MHDw8NULOnBgwcsWbKE7du306NHDxwdHYH3y6YsLS1Ny54UvImYp9q1a3PkyBG6du2Kh4cHEP/c2T59+rBp0ybc3d1p2bJlArZUkioFcPLJxcTExKu6dPXqVYoXL46TkxPTpk0jPDyce/fuERUVRbFixUzPVatWjVq1ajFx4sQEarmIJCVubm58++23WFlZsX//fqpUqWJaDhkbxO3YsYNevXoxfPjweM9q2aSI+Yi71Do0NJSJEyfy9u1bLl++TIUKFZg2bRrJkyePtzeuXbt2vHr1ioMHDyZk0yWJUupQPrnAwEDSpUsHwPnz5ylbtizu7u707dsXCwsLpk6dSqFChYD358A9ePCA4cOHExQUxNixYxOw5SKS2MXmLC0sLMiWLRuRkZFERERw9uxZChcuTPr06QHIkycPDg4OWFpaMmXKFHLkyEH79u1N71HwJmIe4gZv7u7uFCtWDBcXF4xGIxMnTmT//v04OzubgjiAO3fumI4QEPlfUAAnn9SRI0eYM2cOK1eu5LvvvmPnzp1cuHCBbt26YWlpSY8ePbCysmL8+PEYDAa2bNnCxo0bMRqNnDt3znTgpSo3icjfFXcg9uDBAxo1akR0dDTLli2jX79+hIWF0a9fP1OCKW/evIwYMYKcOXPStm3bBGy5iCSE3x5vtHr1agYOHMiXX35JxowZcXJyAt4XNhk+fDjOzs507dqVDBkysGnTJiB+vyPyb1EAJ5+Un58fb9++pVq1ajx//pxz586RIUMGYmJi6NKlCwA9evTAwsKCSZMm0aFDB3LmzEmtWrWwtLTUnhMR+ShxB1GTJk3izJkzDBgwgEaNGtG3b1/Cw8MZMmQIBoOBXr16kT59ejp37szQoUPp378/gJJHImYmdqZ95syZuLm5sX//fkqUKGE6dzZlypSMGTOGNGnS4OnpybZt28iZMyd79uwxvUPBm/wvaCQsn1SXLl04dOgQx48fp1atWvGCsbhBXK9evXj9+jULFy6kTp06wPsBmII3Efm7fptFd3NzY9WqVZQuXdp0z6BBg4iOjmbUqFH8/PPP3Lt3jxcvXuDu7m66R8GbSNI3dOhQunTpYuofQkJCOH/+POPGjaNUqVL8+uuvXL58mUWLFlG8eHF69OjBsGHDaN68OY8ePaJGjRo6KkD+5/STJZ9MZGQkAJUqVaJo0aJ4e3szZMgQ05632Ox2ly5dCAsLw9PTM16hAGWxROTvuHfvHnZ2dqY+5MiRI2zevBlvb29Kly5NeHg4T58+5fTp0zRo0IChQ4dia2vLyZMnKVmyJAsXLtSBuyJm5MyZM0RERFC8eHHTteTJk/Pw4UNevnyJnZ0drq6uhIeHkyVLFjZt2kRAQAArVqygQIECFChQANBRAfK/pyqU8j/1Z2u/PTw8WLVqFenTp2fatGkULFgQgMOHD1OrVi3Tfar2JiJ/V+vWrUmVKhWrV682XTt06BC9evXixIkTvHv3jlWrVrFx40aCg4NJnTo1N2/exNramvDwcFMxAmXRRcxL7Jhj3bp1ZM6cmbp163Lu3Dm6devG69ev6du3L/Xq1aNKlSrMnj2bgwcPsn37dlOfIfIpKICT/5m4wdv69evx9fUlXbp0lCpVivr16wOwatUqPD09SZ48OYMGDWLu3Lm8evWKs2fPKmgTkY8WFBSEjY0NyZIl4/nz53zxxRf4+vrSr18/QkJC8PPzo0WLFlSuXJkqVapQpUoVFi5cSIcOHRK66SKSAOIma/z9/WnevDmpU6dm0qRJVK1alaioKJ49e0aOHDmA92OcBg0aYGdnx9KlSxOy6WKGFMDJ/0TcWTNHR0c8PT2pXLkyQUFBvH79mt69e9O3b1/gfXDn6enJ1atXsbe3Z//+/aZzVERE/q6IiAiSJUsGgKurKwsXLmTbtm0ULlyY48ePc+nSJezs7Pjqq6+wtbXl5cuXNGjQgOnTp5v23IqI+Xjx4gWZM2cG3p8P+fXXX3P69GkWLlxIREQETk5O1KxZE3ifHDp+/DhLlizh0aNHXLhwAWtra60Wkk9KAZz8Ty1ZsoSZM2eyfv16KlSowPLlyxkwYADZs2dn4MCBDBs2DHif7QoKCiJfvnyqNiki/4q3b98SHR1NsWLFyJkzJytXrjSdMQnv9+W+ePGCvn378vLlS3x8fLTXTcTMnDhxgiZNmnD+/HkWL16Mp6cnFy9eJHfu3Ozbt48FCxYQHR3NmDFjqFatGhcvXmT+/PkEBgayZcsWDAaDxizyySmAk39V3GWTERERODo6kiVLFpycnNi5cyfdunVj2LBh/Prrr+zZs4dJkyaZZuJ+7x0iIn/V3r17efbsGd27d2fIkCFERESwePFi3rx5Q+nSpcmSJQvLly+nWLFiREVFsXz5crZv305AQAA+Pj4qWCJihqKjo2nbti3Hjx8nIiKCU6dOUbRoUdPnsUGc0WhkwoQJVKpUiQcPHpArVy4lnCXBaJQs/5pXr16ZAq8zZ86QLFkyxo8fz9dff829e/cYOXIk48ePZ9y4cXz99de8ffuWYcOGsXbt2njvUfAmIn9XYGAg27dvZ8qUKTRt2pTly5fj4OAAQPr06bl48SLPnj2jT58+XL16FYPBgL29PU2bNuXUqVNYW1sTFRWl4E3EzFhZWVG8eHFev379u4VIGjRowKBBgzAYDAwYMABfX1/y5MmDpaWljjeSBKORsvwrDhw4wMCBA3nw4AGDBw+mfv36vHz5kvTp02NnZ8f58+dJlSoV3bp1A96X5W3YsCGLFi2iffv2Cdx6EUnsbG1tGTt2LClTpuTHH3/E2dnZVAo8PDz8gyDuypUr1KtXjwEDBmBlZaWy3yJm5LeLz/r168fFixepUaMGderU4cyZM8D72TnAdMxItWrVKFasmOk5JZwloegnT/4VL1684MaNGzRp0oS1a9dy9uxZMmXKhNFoBMDGxoanT59y4MABgoKCmD17Njly5KBbt26mwZOIyMeIHYxZWlpSokQJ2rRpw7p16/Dw8ADeJ4zCwsJInz49Fy5cwNfXl/nz58d7h2beRMyD0WiMV2wkJCSELFmyULJkSTw9PSlfvjzNmzfn/Pnzpn5h6tSplC1blrlz55pm3kQSkvbAyT/y5s0b0qdPD0D37t1ZvXo1TZo0YdasWaYDLQHu3r3LxIkT2bNnD2nSpMHW1pbz58+rcpOIfLQ/2i97+/Zt5s2bx+HDh3FycqJ79+7A+2y60WgkMjKS5MmTK2gTMTNx+4yFCxfy008/4efnR48ePWjfvj02NjZERkbSpk0bfHx8GD9+PNu3b+f58+dcvnxZfYZ8NhTAyUfbvXs3+/bto3LlynTs2BFXV1eio6NZv349BQoUYMiQIZQuXdoUoN27d48HDx7g7+/P119/jZWVlTb/ishHiTsQO3XqFEFBQaRJk4YqVaoAcPnyZZYtW8bRo0cZOnQovXr1onHjxhQvXpzvv/8eQAVLRMzU6NGjWbVqFR06dCB9+vSMHz+eCRMm0KdPH7JlywZAz549uXXrFpkyZWLLli1YW1uryJp8NhTAyUdZuXIlo0ePpnfv3tSrV49q1aqZPlu/fj1z5syhUKFCDBs2jJIlSwJw5MgR0zkqoMGTiHycuLP2zs7ObN26lbdv35InTx7s7OxYs2YN8D6Ic3d3x83NjRw5chATE8OVK1d0zqSIGduwYQPOzs5s3LiRcuXK8dNPP1G5cmUsLCz49ttvcXJyInv27AA8e/aML774AgsLCyWc5bOiAE7+ti1bttCjRw/c3Nxo1qwZNjY2H9yzfv165s6dy5dffknbtm1ZuXIld+7c4fbt21ouKSL/iunTpzNv3jy8vLwoW7YsEydOxMXFhUaNGrF7924A/Pz8uHv3Ljdv3qRXr16a+RcxM79NFq9bt47AwED69evH7t276dy5M8uWLcPCwoKOHTsyevRoevXqRZ48eUzPaKuHfG4UwMlfFhMTQ3BwMN26daNixYqMHDnS9Jmfnx+XL1/myZMnfP3116RNm5atW7eydOlSHj58SLZs2di/f7/2vInIR4u7fOmXX36hX79+DB06lEaNGrFv3z7atm1Lly5d2L17N6VLl2b79u0fvEMz/yLm4/nz53zxxRcArFq1iqpVq5I6dWoiIiKwtramSZMmdOjQgeHDh/Pw4UPKli3Ly5cvmTNnDkOGDEnYxov8CaUg5S+zsLAgefLk3L9/nxIlSpiuz5kzh6NHj+Lt7U2aNGn4/vvvOXLkCK1ataJ8+fJERESQN29eHXgpIv9IbPAWGBhIvnz56Ny5M2XKlOHUqVP06tWL2bNn06dPH2JiYli2bBmVK1fm1KlT8d6h4E3EPMQujbx+/Tpubm6sXbuW06dPkyVLFgCuXr1KaGgolStXNj3zzTffUKtWrXjbPUQ+RxpJy98SFhZGnjx5OH/+PPPnz2f//v3cu3ePli1b4uzszJdffknNmjUZNWoUGzZsIGfOnKZndeCliHyMQ4cOcfv2bfr168eAAQOIiopi6dKlpnMlFyxYQJ06dejatSsAdnZ2NG/enAwZMmjGTcRM5c+fn27dulGuXDmsrKy4dOlSvGWRkZGR3L59m5MnTxIZGYmLiwuRkZGmIkdKOMvnTD+Z8rekSZMGZ2dnnJyc8PT0JFWqVKxatYr//Oc/2NraEhUVRbFixUiVKtUHz6pyk4j8HTExMbx9+xYPDw9u377Nzp078fHx4aeffop33y+//ML9+/dNJcB/+uknatasyaBBg4A/Pm5ARJIef39/smTJQsaMGSlUqBDBwcGkSJGCwMBA4L/nwJUqVYpZs2YxbNgwvvzySzJlysSJEydM71HwJp8z7YGTvyR2ABS7f+3t27dYWFiQOnXqePcFBwfTtGlTateuzZgxYxKotSKSFMT2O48fP6ZRo0ZcuXKFsWPHMnnyZOC/GfKdO3cyfPhw0qRJg5WVFSEhIfj6+mIwGLTnVsSMeHl5sXjxYjp16kT37t15+vQpT548YdmyZWzYsIH9+/dTuXJlIiIiSJYsGfB+D39QUBAFCxbUVg9JNJSSlD907Ngx+vfvD/x39ix2IJQmTRpSp05NbPwfHR3N48ePadu2LUFBQTg6OiZMo0UkSfDx8WHZsmUEBASQLFkyihUrRrNmzThy5AhLliwB/pshr1GjBrNnz6ZKlSrUqlXLFLxFR0creBMxE25ubvTu3ZtatWqZ9t3nyJGDcuXKMXXqVFq0aEG9evU4c+aMKXhzcXEhNDSUwoULY2lpqa0ekmjop1R+V0xMDM+ePcPPz48HDx6QJ0+e381kW1hY8Pr1axYtWsTJkycJCgri9OnTpsGT9p6IyN+1evVqJk+eTO3atSlRogSVK1dmzZo1PHr0iPHjx+Pp6YmFhQUODg4ApE2blipVqtCsWTPTO5RFFzEfe/bsYfTo0SxfvpzWrVt/8HmWLFlYsmQJRqOR6tWrM23aNHbt2sXr168ZMWKE6T4ttZbEQj+p8rssLCyoXr06T548wc3NzXTt97x69Qo/Pz8qV67M8ePHsba2JioqSsGbiPxtq1ev5ttvv2XcuHFMnTo1XoW4XLly4ejoSMGCBVmzZg0LFy4EoG7duri4uMR7j4I3EfNx5MgRWrRoQfPmzU3Xrly5wooVKxg7dixeXl6kSZOGNWvWMGDAANatW0fGjBk5f/48VlZWGI3GBGy9yN+nPXDyu2Jn244fP063bt3w8PCgevXqf3hfSEgIKVOmBHTOkoh8nPv379OqVSsGDRpE9+7dTdejoqJ48OAB6dKlI2PGjNy/fx8XFxf27t2LlZUVKVKk4Oeff8ba2jrhGi8iCSIqKor69euTM2dOVq1aBcDkyZM5duwY165dI0WKFFhZWeHg4GCabXvx4gWZMmXCwsJCs/WSKGkGTn6XhYUFMTExlClThmbNmnHs2DGio6M/yFLFzsrFBm8xMTEK3kTko7x+/Zrnz59TqlQp0zVPT0+6du1KiRIlKFq0KAsXLiRv3ryMHTuW1atXM27cOHx9fU0z/yJiXgwGAx06dMDT05PevXtTtmxZPDw8qFevHufPn+fXX3+lbNmy/Pjjj4SEhACQOXNm0zhHwZskRvqplT9kYWFBqlSpqFixIk5OTnTu3Bk7O7s/reqmggEi8rGSJUtGpkyZ2LdvH1mzZsXR0ZGrV69SsGBB3NzcuHTpEsOHD6dSpUqULVuWHDlyUK1aNeD9zL8GYiLmqVWrVoSFhbFv3z4KFy7MpEmTyJo1KylSpACgePHiHDhw4IM9bhqzSGKlJZTyl3Tv3p3nz5+zZcsW02ybiMi/KTw8nKFDh3Lw4EFevHjBF198wYwZM6hSpQqZMmXCaDSSI0cOxo0bZ6qQKyLm5c/Odfy9LRwhISG0atWK/Pnzm/bNiiR2WkIpfyp2yWS/fv2wsbExHaCrDb8i8k/F7UeMRiPJkydn9uzZeHl5sXXrVm7cuEHz5s3JlCkTAHfv3iVr1qzY2dklVJNFJIF07tyZn376yVTu//fEDd7CwsJ48OABrVu35vnz58ydOxcAzVtIUqAAzoz9UQcYHR1t+nNslqt06dIYDAaWLVsW77qIyN91+PBhgHgDsdg/p0iRgmLFilGzZs14/cy7d+8YPnw4GTJkoG7dugnSbhFJGIGBgfj7+9OwYUMuXrz4p0EcQHBwMM7OznTp0oXQ0FDOnDmjsyElSdEo3EzFXYLg4+PDwYMH2bNnD8AHyw+MRiPW1tYsWLAAHx8fVqxY8cnbKyJJw4IFC3BwcMDDwwP4MIj7rYCAADZt2kSbNm14+PAh+/btw8rKKl6iSUSStrRp07Ju3Trq1q1LjRo1/s8g7u3bt5QrV44OHTpw6NAhHW8kSY72wJk5Jycntm/fjsFgIDw8nFy5crF+/XqyZMkS777YgG/atGmkTJmSPn36aC+ciPxtly5dYu7cudy9e5cePXrwzTffAH+8r2X27NmcOnWK9OnTs3TpUgwGg8p+i5iRuL/vV65cYdCgQdy+fZu9e/dSvHjxP+w74hZc0/FGktQogDNj8+fPZ8qUKezbt4+yZcvi6urKoEGDOHr0qKmy228rTt69e5fAwEBKly6dUM0WkUQqdiB29+5dXFxcuHXrFn369KFTp07A7wdx4eHhPHjwgPz582NhYaGBmIiZGjt2LD4+PgCcOHGCdOnSceDAAUqXLv2nhU1EkiKlMM3YjRs3mDhxImXLlsXLy4uxY8eydOlSqlWrZjqY+7drxe3t7ROotSKSmBmNRlMW/caNG1haWnL9+nUmTZoEQKdOnUxLomIHYjExMSRPnpwCBQqY/l3Bm4j5cXNzY968eRw4cAA7Ozvu3r3LtGnTqFWrFocPH1YQJ2ZHP+lm4rfrxI1GIxcvXiQqKoojR47QvXt3pk+fTp8+fYiOjmbWrFl4enomUGtFJKmJHVg5OjrSu3dv8uXLx9ChQ0mWLBkLFizA3d3ddF9sf/XbBJKKD4iYp7t371K/fn0qVapElixZqFy5Mq6urpQuXZpGjRpx9epVLC0tVWFSzIYCODMRO3gKCgoy/Xu7du3Ytm0bjRs3Zvbs2Tg4OADviwacPXuWZ8+eJVh7RSTpuXPnDtu2bWPZsmWMGDECZ2dn1q1bR968eZk/fz7r168H0EBMROKxtLTk3Llzpn4hJiaGvHnz0qFDB54/f07x4sW5deuWkjxiNhTAJXFxZ962bt1Kzpw58fPzA6BSpUq8efOGEiVKUKJECQAePnxI165defnyJUOGDEmIJotIEpUmTRqCg4NNiSSA4sWLM27cOJ48ecK0adNYtGgRoNk2EXP0R1UlW7VqRbp06Zg8eTJv37419Q958uShZ8+eTJkyRVs8xKxoD1wSFnc9+Pr163n06BHv3r2jUaNG7N69m8qVK+Pi4sLo0aPp1q0bkZGRZMyYEQsLC3x8fExnpmjPiYj8Xb8tgATv+6Ts2bNz9epVIiIisLa2xsLCgqJFi1KuXDnu37/P7du3f/dZEUnafjtmuXPnDkajkWrVqlGrVi1atGjB/v37CQgIYNiwYURGRrJw4UKyZs3KmDFjAFShVsyGqlCagVGjRrFhwwaGDh3K3bt3OXjwICEhIZw4cYI8efJw7do1Hj9+zPXr1/nPf/5DvXr1sLKyUkcoIh8l7kDs4cOHREZGkiNHDmxsbFi7di1dunRhwYIF9OjRg1SpUhESEkKPHj1o0qQJnTt3xsLCQkGciJkaNWoUnp6eNGnShCdPnnD9+nUGDx7MgAEDTJWzz507R758+UiRIgXnz5/H2tpafYaYFQVwSdzNmzepW7cuixcvpmnTpsD7c1T69euHn58fJ06cIFeuXB88p5k3EfkYcQdREydOZOvWrQQHBxMTE8Po0aP55ptvWLhwIcOHD6dly5akS5eOmzdv8vbt23iH86qanIj52blzJwMHDmTTpk1UqFCBNWvW0Lt3b3744Qe6dOmC0WgkMjKSQ4cOkTp1aqpUqaKEs5gl/RcyiXv37h2vX7/myy+/NF0rUqQIs2bNIiAggCZNmuDv7w+8D9piKXgTkY8RG7xNnTqVJUuWMH36dG7fvo2dnR1Tpkzh5s2bDB48mK1bt5IpUyaePn1KwYIFOXfunII3ETN3//59ihQpQoUKFdiyZQv9+/dn7ty5dOnShaCgIM6fP0/y5Mlp1KgR1apVw8rKiujoaAVvYnb0E5+E/N7ygRIlSmBnZ8fq1atxcXHBwsICS0tLihYtStGiRbl16xZVqlTh8uXLpEqVKoFaLiJJydu3bzl8+DCzZs2iUaNG7Nmzh/PnzzN9+nQKFy5MVFQUzZo1o0mTJvGCNWXRRczH7yVrDAYDefLkwdvbmx49ejBz5kxThez9+/dz5coV8uXLR4YMGUzPKOEs5khpziTCaDSagrdXr17x+PFjwsLCsLa2pk2bNpw4ccJU3S1W9uzZ8fDwIHXq1Li4uCREs0UkCfjtSvzg4GAePnxIvXr1OHLkCO3atWP69Ok4ODgQGhrKwoULefToUbzBW0xMjII3ETMRN3jbsWMHd+/eBaBkyZIsW7aMhg0b4urqagreQkJCWL58OS9evCB9+vQJ1m6Rz4UCuCQgJibG1BFOnDiRtm3bUqRIEXr37s2qVasYPXo0RYsWxcPDg2bNmjFnzhzq16/P48ePqVOnDhkyZODJkycJ/C1EJDGKmzyKXY6dNWtW8ufPT/v27WnWrBnz5883DcRevXrF1q1bOXXqVLz3qPiAiHmIO2ZxcnJi4MCB7Nixg3fv3lG5cmWWLl2KlZUVr1694uzZs5w5c4aWLVvy7NkzFixYYCpyJGLOVMQkEfvtksmJEyfi6uqKh4cHmTJlYvz48Vy+fJnLly9jMBjYvn07GzZsIDQ0lGzZsrF69WpsbGxo0aIFRYsWZcqUKYAGUiLy18TNok+fPp0bN27Qo0cPatSogaenJ5MnT8bOzg5vb2/g/Z7cdu3aERoayoEDB7T0ScSMzZkzh2nTprFv3z4KFChA2rRpgf/Otk2ePBlra2ty5MhB5syZ2bVrF9bW1iqyJoICuEQrduAU+08/Pz/atWvHuHHjaNCgAYcPH6Zp06YsXLiQnj17xns2PDyc5MmTA+Do6Ii7uzs+Pj4UKFAgIb6KiCRyTk5OuLm5sWzZMkqXLk3evHkJCgrCxcWFrVu3kjp1auzt7Xn48CHBwcGmst8aiImYp6ioKDp06EDJkiUZM2aMaSwTNzF9//59goKCSJEiBfb29lhaWmqfrMj/p9+CRMjJyYm3b9+yYMEC0+DH2tqaN2/eULx4cXbs2EHnzp2ZPXs2PXv2JCwsjPXr11OuXDmKFi1K8uTJuXbtGrNnz+b48eN4e3sreBORj3Ly5Em2bt2Kl5cX1apVA96vDkibNi2jRo2iVq1arF+/npQpU1KmTBmGDh2KwWDQQEzEjIWEhHD69GmKFSsGEC94CwsL49WrV+TNmzfeM0ajUX2GyP+nPXCJTHBwMEFBQVy8eJHx48ebSv9HRERgZWXFrFmz6NGjBy4uLqY9J7dv32bbtm08e/bM9J4iRYrQqVMnDh8+TKlSpRLku4hI4vfs2TMiIiKwt7f/4DNbW1tq167NihUrWLBgASNHjsRgMKjst4gZMRqNH1xLkyYNderU4dy5c/z666/Af7dvXL58mfHjx/P8+fN4z+h4EZH/0m9DInL79m1SpUrFtGnTqFmzJocOHWLcuHFERUWRK1cuunTpwrx582jfvj39+/cH3gd8zs7OhIeHU6NGDeC/nWnt2rXJnTt3Qn0dEUnEYvuRsLAw4L+VKOMO1rZu3crBgwc/eFbLJkXMQ9x9snfv3uX27dvA+2CtVq1aXL16lZUrV5qqUL5+/ZqpU6fy8OFDMmXKlGDtFvncaQ9cIuHi4oKrqyubN2+mYsWKBAQEMH36dI4ePUqNGjX47rvvMBgMDBo0CFdXV7755hsiIyN5+PAhL1684OLFi1hbW+uQXBH5KH/Ud7x48YICBQrQsmVLVq5caboeEhJC+/btqVKlCo6Ojp+yqSLymRk9ejRr164lIiKCIkWKsGrVKnLmzMn8+fNxc3MjIiKCzJkzExwcTHR0tGmfrMYsIr9PAVwi4e3tzbJly3j06BELFiygUqVKpiDuyJEj1K5dmylTpmBlZcXy5cs5fPgwVlZWFChQAGdnZ+05EZGPFrewwLJly7h06RK5cuWifv36lClThp07d9K5c2dq165Np06dsLa2ZtGiRfj7+3Px4kX1OyJmJm7gtXnzZkaNGsXMmTOxsrJi0qRJhIeH4+XlReHChTl58iTXr1/n+vXr5M+fnz59+mjMIvJ/UACXiBw7dox58+bx4MEDXF1dqVy5MgEBAbi4uHDo0CFTEGcwGAgLC8PGxsb0rKq9icjHiDsQGzNmDD/88APlypXD39+fqKgo5s+fT82aNTl37hy9e/fm3bt3pEyZki+//JItW7ao2qSIGfPy8jLtZevXrx/wfmtH9erVeffuHV5eXhQpUuSD59RniPw5BXCJQNzs95EjR1i4cCH379//IIiLXU4ZG8SJiPxbbt26xeLFi+nSpQtly5bl3LlzLFiwgBMnTrB8+XLq1q1LSEgIb968wcLCgmzZsmFhYaEsuoiZevPmDfb29gQEBDBmzBimTJliGs8EBwdTo0YNwsLC8PDwoEyZMgndXJFERQuLP2OxxQDiHqxds2ZNBg4cSO7cuRkwYACnTp0iXbp0ODk5UatWLTZt2sSKFSsSqskikgR5eXlRp04djh8/To4cOQAoV64cw4cP56uvvqJv374cOHCAlClTkiNHDrJnz46FhYXKfouYqZiYGNKnT8+5c+coWbIke/bswc/PDwsLC2JiYkiVKhXHjh0jKCiIuXPnJnRzRRIdzcB9puIuWzpw4AAhISGEhYXRrl07AE6dOoWLiwuPHj1i0aJFVKpUiTdv3rBx40Z69+6tpQci8q/ZvXs3S5cu5ejRo/j4+FCyZEnTZ76+vsydO5eNGzfi4+OjTLqIGfqzYiN3796lbt265M6dmw0bNpA1a1bTTFx4eDgGg0FjFpG/SQHcZ27EiBGsW7eOtGnT8uTJE4oUKcLMmTOpWrUqPj4+zJkzh0ePHjFz5kzTMQGg9eMi8nH+aCB2+PBhpk6dyuvXr1m5cmW88yPPnz/P3r17cXZ2Vr8jYmbi9hkrV67k1q1b+Pv7M2LECIoUKYKlpSV3796lTp065M2bl/Xr18cL4kBjFpG/SwHcZ8zd3R1HR0e8vb3Jnj07MTExNG/enKioKDw8PChWrBiHDx9m0qRJ2Nvbs3LlyngdoojI3xF3IHbt2jUsLCwwGAwUKFAAeF8Nd9GiRTx9+pTly5fHm4mLpYGYiHlycnLC09OT6tWrExoaypEjR1i8eDFNmzYlTZo03L17l/r162NjY8Px48fJkCFDQjdZJNFSAPcZig3CnJ2duXbtGjt27DAVAggLC6NMmTLY2dmxa9cuAH7++WdKlCihs1JE5KPFTf6MHz+eHTt28OzZMwoUKECzZs0YMWIEAPv27WPJkiU8e/aMhQsXUq5cuYRstoh8BlasWMHkyZPZsWMHpUqVwsfHh2rVqpEmTRpmz55N+/btSZ06Nbdu3WLMmDFs3LhRiR6Rf0Aj/s+Er68vO3bs4OTJk6ZBlL+/P69evQLAYDAQGhqKjY0Ns2bN4ty5c9y9exeAUqVKYWlpaSp6IiLyd8X2O5MnT2bp0qXMmTOHY8eOkS9fPkaNGsWkSZMAaNCgAf3798fKyoply5YlZJNFJIHEHW9ERkYSFBTE+PHjKVWqFDt27KBx48asWbOG7t27M3z4cLy8vAgMDOQ///kPW7ZswcrKiujo6AT8BiKJmwK4z8DatWvp3r07K1eu5McffzRd79GjB76+vsybNw+AFClSAO87y0yZMpEmTZp479EMnIj8E+fPn8fb25tNmzZRu3Zt7t+/z5YtW2jdujWzZs1iypQpANSvX5+5c+fyww8/JHCLRSQhxI43bty4gbW1NbVr16ZBgwbcu3ePMWPGMHnyZDp27Ej37t0JCQmhR48eHD9+PN47NAMn8vFU3zmBrV69GgcHB1auXEmDBg1Ily6d6bPixYszbNgwFixYQFhYGP369SMgIIDly5eTM2dOMmfOnHANF5FE77d7ZvPnz0+TJk0oV64chw8fpnv37syePZt27drRtm1bJkyYwOvXr5k7dy7ly5cH/rz6nIgkXZs3b2bkyJHcv3+fEiVKAHDo0CGsra2pX78+8H5PrJOTE1988QUNGzZMyOaKJCnaA5eArl27Rrt27RgyZAi9evUyXY87qHr48CEbNmzgu+++I2XKlKRJk4b06dNz8uRJrK2tNXgSkX/s+++/p2DBgrRs2ZKIiAiSJUtGnz59TEu2kyVLxqBBg/D19cXW1pYdO3aoWJKImXv79i0FChRgwIABjBkzBoBNmzbRtWtXdu7cSZ48eRgxYgQZM2bEw8MDwLSfX0T+Gf0WJaDHjx8TEhJCtWrV4gVtsf+MiYkhd+7cjBo1ik6dOnH+/HlsbW356quvsLKyUkcoIv9YREQEV65c4ezZs9SuXZu0adMSERHBpUuXKFasGMmSJSM0NJSnT5/St29fOnbsCHw4eyciSddvq8tGRESQKlUq+vTpw5kzZ3jx4gWZM2fm66+/ZuvWrTRo0IDcuXOTIUMGtm7danpOYxaRf4embhLQhQsXTBksCwsLfjsZamFhwY0bNzh69Cg5cuSgefPm1KhRw7T5Vx2hiPxTyZIlo2HDhly9ehU/Pz/TtXbt2uHt7U3nzp2pU6cOv/zyC+3atQMUvImYi4CAAOC/+9Vii6clS5YMS0tLGjduzOHDhzl48KDpmQ0bNuDt7Y2Hhwfnzp3D2tqaqKioT952kaRMAVwCypcvH8HBwezfvx/gdwdEq1evZt26dR8Ed9r8KyJ/1x8Norp06UKOHDlwdHQ0XWvZsiVDhw7l9evXFCpUiLNnz5qSRwreRJK+Pn36MH36dPz9/QFYv349jRs3ZuDAgfj5+REWFkb58uX59ttvmTNnDg8fPjQ9W7duXSWcRf6HFMAloDJlypAsWTJ++OGHeB1fbLAWFBTEnTt3KFasmAZMIvLRVq5cCfx3+dLixYvZtWsXT58+Nd0zbNgw/P39OXXqFAB2dnYMHz6cPXv2sGLFClMWXckjEfNga2vL+vXrcXd3JzAwkNKlSzNy5Ej27NlDy5YtcXBw4MGDB6bDuW/evAnwwfEA6jNE/n0K4BKQnZ0dS5cuZffu3YwePZqff/4ZeD8T9+TJE9q3b4+/vz/9+vVL4JaKSGJ18uRJevXqxZAhQ0zX1q1bx8SJE6lfvz5eXl68evWKevXqYTQaWbdunem+uGc9xcTEKIsuYgZik8gzZ86kb9++LF26FFdXVzJlysQ333zDzZs36dKlC/7+/pQpU4ajR4/i6+vLd999ByhgE/kUVIUygUVHR+Pu7k7//v3JkiULRYsWxWg0EhgYiNFoNFWb/O0GYhGRvyIiIoJt27bRs2dPevTogaurKwA+Pj7s2LEDNzc3KlSoQOvWrcmSJQs9e/Zk9+7dVKhQIYFbLiIJIW5166dPn9K/f38uXrxInz596N69Ozly5DDtg12yZAmnT59m3bp1FCxYkMuXL6sytsgnoADuM3Hp0iVWrlzJrVu3yJUrF6VKlcLBwUHVJkXko8UdiHl5edG+fXscHR1NmXKA06dPc+TIEebOnUvq1Kl58OABixYt0sy/iJkbPHgwp06dInfu3Ny7d49r164xYcIEevbsSbZs2Uz3BQQE8Ouvv1KsWDEMBoOONxL5BBTAfeY08yYiHyNupciZM2fy6NEjPD09CQwMZOjQocyePTve/QEBAUybNg1/f39WrlyppJGIGdu1axfdunXj8OHDFC5cmGTJkuHs7MzSpUsZNmwYffr04YsvvvjgOSWcRT4N/ZZ9Rn6vNLeCNxH5GLF9yeTJk1m4cCHu7u7UrFmTixcvMmPGDKKjo5k3bx4AkZGRpEuXjunTp5sy5xqIiZiv0NBQMmfOTLZs2Uz9wLRp04iIiGDq1KkYDAY6depErly54j2nPkPk09Bv2mdElSZF5N8UGhqKj48PI0aMoEmTJgDUr18fe3t7evXqRcqUKZk2bRrW1tbxlj2pYImI+fltH/Dy5UtiYmKwtLQkJCSElClTMmDAAJYvX853331H9uzZ6dq1awK3WsQ8aZGyiEgS8Eer4X/99VeePXtm+veUKVPSpk0bmjdvzvTp03FwcACIt2dFySQR83D+/HmuXr0KxO8Dvv76a/Lnz29K/KRMmRKAsLAwOnbsyNSpU+nUqdOnb7CIAArgRESSpOjoaFKkSEG3bt04ceKE6Xw3gNSpU1OoUCHq1KnD3bt34x0XICLm4dSpU5QvX56xY8fSpEkT7t69y6tXr4D3SZwFCxYQEhJCkSJF2LNnD3v37mXIkCE8f/6cwYMHmw7pFpFPTwGciEgit3LlSqpWrcqePXtM2fTY/bNVqlQhTZo0uLq64uPjA0BgYCCXL1+mQ4cOHDhwAEtLSwVxImYmNDSU1KlTM2TIEDJnzkzv3r1p3749e/bsITg4mPLly7Nr1y7y5s1Lnz59GDBgACEhIWzYsAF4P+uvffoiCUNVKEVEEqmYmBhiYmKoUKECV69epWvXrpw/f542bdrQsmVLChYsCMDOnTtxdXXl6tWr5M6dm7dv32JlZcXFixcxGAy/W0BJRJK+rl27kjFjRubOncvhw4e5cuUKkydPpkKFCtSpU4dhw4YB8ObNG968eUPevHmxtLRUkSORBKYATkQkkdu2bRve3t706dOHJ0+e4OTkhL29PcmSJWP69OnY29vz6tUrTpw4wcmTJ8mUKRPDhw/HYDDoqBIRMxRbsGTLli24ubmxZs0aMmbMCEC2bNnInz8/t27dImfOnBQtWpQ5c+aYPtc5byIJTwGciEgid+nSJbp168aMGTOoX78+kZGRHDp0iEaNGlGmTBly5crFoEGDqFixIjY2NqbnlEUXMW8hISEUL16cnj174uzsTIkSJbC1tWX79u0kS5YMJycngoODWbFihRI9Ip8RBXAiIknAhAkT2L59Oz///DOWlpaUKFGCbNmy0bZtW06ePImHhwdjxoxhypQpCd1UEfkMxM6k7dy5kzlz5nDnzh2+/PJLtm3bRubMmePd89s/i0jCUgAnIpKIxe5fu3LlCqNHj2bw4MGMGDGCNGnS8OOPP2JrawuAj48PlSpVUhZdxMzcuXOH/Pnz/+Fe1xs3btCkSRO++OILTp8+bbr+23PhtE9W5POhVIqISCITt2Jk7KCqWLFiGAwG6tevT7Zs2eIFbzExMVStWhUrKyuioqISpM0i8mkZjUaePn1KoUKF+PHHH/8wACtUqBADBw7k0aNHPHr0yHRdZ0OKfL4UwImIJALHjh2jf//+AB8sY4oN6KZOnUrp0qVp3769KXiD+IMv7XkTMQ+WlpZky5aNsWPH4u7ujr+//wf3xC7CatCgAXnz5mXXrl06UkQkEVAAJyLymYuJieHZs2f4+fnx4MED07VYsQFd1qxZyZIli+nQbq2QF5E6deoQHBzMnTt3AOIdvh2b3ClYsCDJkiXjyJEj2ucmkghoD5yISCLw7NkzGjduTKNGjZg8efIf3uft7U3Dhg05ffo0FSpU+IQtFJHPVZ8+ffj55585d+4cEH9PW+xet7dv35IyZUrtkxVJBJRmERH5zMXExJAlSxbmzJmDp6cnx44d+8P7SpQogaOjI2XLlv3ErRSRz03scsg5c+aQOnVqFixYAMRfVh0745YmTRqsrKzizdCJyOdJAZyIyGfOwsKCmJgYypQpQ7NmzTh27BjR0dEf7FWxsLAga9asfP/99ypYImJmfi/wig3ObGxsqFOnDufOnSMiIgL44yXWmoET+fwpgBMRSQQsLCxIlSoVFStWxM3NjQcPHmBpafmn+9xUsEQk6evbty/Xr1//09kzg8FA165dOXToEEuWLAFUWVIkMVMAJyKSiHTo0IGaNWsyYMAAQkJCNAgTMWO//vorvr6+NG7cmNu3b/9hEGc0GsmVKxfz5s1jy5YtXL58OQFaKyL/FgVwIiKJROySyX79+mFjY8NPP/0U77qImJcvv/ySJUuWULRoUerWrfuHQVzsUsoyZcqQNWtWLly4AKjvEEmsFMCJiHwG/mggFXcgFjsIK126NAaDgWXLlsW7LiLmI3b5dKlSpZg8efL/GcQB2NvbU758eUaOHMmbN2/Ud4gkUjpGQEQkgcWW8Qbw8fEhLCyMiIgIGjVq9If3+vv7U6ZMGSZNmkSvXr0+dZNFJAHFHgMQt++4cOEC48aN49q1axw4cIACBQoQHR1tKkoS9+iAWbNmUb9+fYoVK5Zg30FEPp4COBGRz4STkxPbt2/HYDAQHh5Orly5WL9+PVmyZIl3X+ygbdq0aaRMmZI+ffqQMmXKBGq1iHxKcYO2iIgIQkNDsbW1BeDq1auMGDGCGzdu/GkQFxAQQLp06RLqK4jIP6S5cxGRz8D8+fNZsWIFa9as4erVqwwePJijR49y69Yt0z2x+bbYwVu7du2oVq2agjcRMxE3eHNxcaFp06aUK1eOPn36cPbsWYoWLcqcOXMoVKgQ9erV486dO1hZWZmWaMfOwCl4E0ncFMCJiHwGbty4wcSJEylbtixeXl6MHTuWpUuXUq1aNUJCQoAPy37b29tTunTphGiuiCSA2OBt3LhxzJw5k+rVq+Pg4MDx48dxdHRk27ZtFC5cmBkzZlCsWDGKFi3Ko0ePtNdNJInREkoRkU8sbhY99t8rVqxIx44dKVGiBM2aNWPmzJk4ODgQHR3N1KlT+fLLL+nSpUsCtlpEPgd3796lSZMmzJw5kyZNmgDw+PFjevfuTUhICGvXriVHjhz89NNPeHl5MX36dB3OLZLEKCUjIvKJxQZvQUFBpn9v164d27Zto3HjxsyePRsHBwcAAgICOHv2LM+ePUuw9orI58NgMBAcHIy1tTUAkZGR5MiRAzc3N3x9ffHy8gKgYsWKzJw5808P+BaRxEkBnIjIJxL3qICtW7eSM2dO/Pz8AKhUqRJv3ryhRIkSlChRAoCHDx/StWtXXr58yZAhQxKiySKSgH5vkVTy5MmJiori3LlzAFhZWREVFUW2bNkoW7Ys/v7+HzyjGTiRpEUBnIjIJxB32eT69ev55ZdfePfuHY0aNeLhw4dUrlwZFxcXQkND6datG/b29rRp04aXL19y4sQJDAaDsugiZsRoNJr2vb59+5bo6GjCw8PJmjUrY8eOZeLEiXh4eGBpaYnBYCAyMpIXL16QIUOGBG65iPyvaQ+ciMgnNGrUKDZs2MDQoUO5e/cuBw8eJCQkhBMnTpAnTx6uXbvG48ePuX79Ov/5z3+oV6+eKcNuMBgSuvki8gnETfjMmDGDI0eO8OrVK4oVK8aIESMoVKgQzs7OTJ8+nU6dOpEhQwauXr2Kv78/vr6+6itEkjgFcCIin8jNmzepW7cuixcvpmnTpgBcuXKFfv364efnx4kTJ8iVK9cHz8U9x0lEzMeYMWNYtmwZ48eP59dff+X69eucPXuWY8eOUbx4cbZu3cry5cuxsbHhiy++wNXVFWtra/UZIkmcAjgRkU/k/PnzVK9enTNnzlC0aFHgfab97NmzNGjQgDx58uDt7U3WrFk1ABMxcw8ePKBp06Z89913NGvWzHRt9OjRHD16lJMnT/Lll18SGRlpKmgCaLZexAxoD5yIyP/A7+XGSpQogZ2dHatXr453KHfRokUpWrQoT548oUqVKgQHByt4EzFz79694/bt29ja2pqu5c6dm7Fjx5I9e3YOHz4MxD8fMiYmRsGbiBlQACci8i+LW3zg1atXPH78mLCwMKytrWnTpg0nTpxg0aJF8Z7Jnj07Hh4epE6dGhcXl4RotogkkN9L+OTNm5cyZcrg7e1NSEgI8D5YK1iwINHR0dy9excgXsAWN5gTkaRLaRoRkX9RTEyMqfjAxIkTOX78OBcvXqRp06bUqVOH0aNH4+fnh4eHB/v376dGjRqmc5vq1KnDrFmzePLkSUJ+BRH5hOIWLHnz5g1Go5GMGTOSKlUqKlWqhLe3NwUKFKBLly5YWVkRFhZGihQpyJIlSwK3XEQSivbAiYj8C2JiYuJlvydOnIirqyseHh5kypSJ8ePHc/nyZS5fvozBYGD79u1s2LCB0NBQsmXLxurVq7GxsaFFixYULVqUKVOmAMqoiyRV69ato23btqb9a+PHj2fv3r28fv2arl27MmHCBIxGI926dePy5cvkypWL0qVLc/ToUV6/fs2lS5e0XFLETGkJpYjIPxS7ZDL2oG4/Pz8OHDjAmjVraNKkCSEhIZw8eZJp06bxxRdfkCFDBnr27Mn+/fs5ePAgmzZtwsbGBkdHR06dOkXXrl2xsLBQ8CaSRJ04cYLOnTszadIkABYvXoybmxudO3emc+fOuLi40LlzZ6Kjo1m9ejX9+/cnbdq0nD17lsKFC/Pzzz/rbEgRM6YZOBGRf8DJyYm3b9+yYMECU+GRZ8+eUbNmTQ4ePMi5c+fo3LkzM2fOxMHBgbCwMNavX0+5cuVMlSivXbvG7NmzOX78OJs3b6ZUqVIJ+ZVE5BNYv3493bt3Z9y4caRKlYo8efLQqlUr4H2A16BBA1q0aMHy5ctJmTIlAOHh4SRPnhxQtUkRc6YZOBGRjxQcHExQUBAXL15k/Pjxpmx4REQEVlZWzJo1ix49euDi4oKDgwMAt2/fZtu2bTx79sz0niJFitCpUycOHz6s4E3ETHTo0AE3NzcmTZrEqFGjCAoKAt4vx/7qq6/Yt28fO3bsoH///qb+IjZ4U7VJEfOmAE5E5CPcvn2bVKlSMW3aNGrWrMmhQ4cYN24cUVFR5MqViy5dujBv3jzat29P//79gfcBn7OzM+Hh4dSoUQPAtOyydu3a5M6dO6G+joh8ArG/7/A+0dO5c2c2bNiAlZUVP/30E+Hh4VhYWJiCOG9vb1avXs3y5cvjvUfLq0XMm9I3IiJ/k4uLC66urmzevJmKFSsyatQojEYjhw8fxmg08t133zFq1Cj8/PxwdXUlMjKSyMhIHj58yIsXL7h48SJWVlbxqs+JSNIW9/d9xYoVBAYG0qtXL1q3bk1kZCSdO3cmY8aMTJo0CYPBQExMDFWqVOHSpUsULlw4gVsvIp8TjRxERP6mkiVLUq5cOQYOHMjp06dJly4dTk5O1KhRgyNHjpiWUy5YsIBly5bx7t07oqKiqFGjBj///DPW1tZERUUpeBMxI7G/76NGjWL8+PGkSpWKgIAAANq3b8/q1atxcXFhwoQJREVFmWbZihcvjsFgICoqKqGaLiKfGRUxERH5CMeOHWPevHk8ePAAV1dXKleuTEBAAC4uLhw6dIjatWszZcoUDAYDYWFh2NjYmJ6Njo42FTwREfOxceNGhg0bhpeXFxUrVvzg83Xr1tGzZ0969+7NvHnz1E+IyO9S+ldE5G+IzXlVr16dQYMGkTdvXgYMGMCpU6dIly4djo6O1K5dm6NHj5r2xMUN3gANykTMTGyBI19fX8qVKxcveIvdFxcTE0PHjh1ZsGABvr6+mqEXkT+k3kFE5C+IHWTFLR5Qs2ZNBg4cSO7cueMFcU5OTtSqVYtNmzaxYsWKhGqyiCSgy5cvc+LECeC/SZvAwEDCw8Pj3WdpaUlUVBS7du0iICCAPn36cPz4cVMxExGR31IAJyLyf4hbfODAgQPs2LGDjRs3Au+DuFGjRpErVy4GDBjA6dOnsbW1ZcSIEYwcOZLevXsnZNNFJAGsXbuWrl27snnzZm7cuGG6XqJECQ4ePMipU6fi3R8UFISnpyfHjx+Pd13VJkXk92gPnIjIXzRixAjWrVtH2rRpefLkCUWKFGHmzJlUrVoVHx8f5syZw6NHj5g5c6bpmADQnjcRc7Jy5UoGDx7MjBkzqF+/PnZ2dvE+b9WqFcePH2fVqlXkz58fKysrvv32W16/fs3p06fVV4jI/0kBnIjIX+Du7o6joyPe3t5kz56dmJgYmjdvTlRUFB4eHhQrVozDhw8zadIk7O3tWblyJTExMcqgi5iRCxcu0KZNG6ZPn067du3ifRYYGIitrS0hISEMGTKEjRs3kjx5crJkyULq1Kk5fvw41tbWSviIyP9JAZyIyJ+IDcKcnZ25du0aO3bsICoqylRdskyZMtjZ2bFr1y4Afv75Z0qUKKECBCJmaOPGjcycOZMDBw6QPn16APbs2YO3tzeHDh3C3t6e+fPnkzdvXnx8fAgNDcVgMFC9enXTXjiDQUf0isifUy8hIvIbvr6+3L9/n0yZMlGlShUA/P39efXqFQAGg4HQ0FBSpEjBrFmz6NGjB3fv3sXe3p5SpUoB6JBuETMUHh5OZGQkN2/epFKlSgwaNIiLFy9iZWVF06ZN2blzJ82bN8fX15eqVavGezY6OlrBm4j8JRpdiIjEsXbtWrp3787KlSv58ccfTdd79OiBr68v8+bNAyBFihQAREZGkilTJtKkSRPvPQreRMxP+fLliYmJoWfPnmTJkoVdu3bRq1cvNm3axPfff8+qVau4desWR48e/eBZLZsUkb9KqR4Rkf9v9erVODg4sHLlSho0aEC6dOlMnxUvXpxhw4axYMECwsLC6NevHwEBASxfvpycOXOSOXPmhGu4iCS4mJgYChYsyLp167h06RIBAQF069YtXnInKCiIQoUKkT179gRsqYgkdtoDJyICXLt2jXbt2jFkyBB69epluh63EMnDhw/ZsGED3333HSlTpiRNmjSkT5+ekydPYm1trWWTImbuzwoXhYaG0r59eywsLNi6dav6ChH5aArgRESA/fv34+DgwL59+8ifP/8Hg7C4A7PHjx9z/vx5bG1t+eqrr7CyslLxARH5XW/fvsXX15epU6fi5+fHxYsXlfARkX9Eow0REd6X/3779i0FChQAPsykW1hYcOPGDZ49e0aNGjXIkSOH6TMVHxAxH38n8IqKimLkyJH88ssv2Nra8vPPP2MwGJTwEZF/RL2HiAiQL18+goOD2b9/P/Xq1fvdZVCrV6/m1atXVK9ePd7nKj4gYh7iBl7Xr1/H1taWlClTmo4M+G3ix2AwMHLkSB49ekS1atV0VICI/Cs0dy8iApQpU4ZkyZLxww8/8PDhQ9P12FXmQUFB3Llzh2LFiulwbhEzM23aNE6dOmUKvJycnGjatCmlS5dmyJAhHDt2DHg/Ux93Z0pMTAz29vbUqFEDS0tLjEajgjcR+ce0B05E5P/bsGED3bt3p3Xr1owYMcJ0ptuTJ0/o1asXQUFBHD16VAMwETNy5swZHBwcyJUrF9999x0BAQF07tyZFStWcP36dY4cOcLLly+ZMGEC9erVA/68mImIyD+lAE5E5P+Ljo7G3d2d/v37kyVLFooWLYrRaCQwMBCj0WiqNhkdHa1lkyJmZNu2bSxZsoS0adOSO3ducufOzZAhQwA4fvw4CxcuxM/Pj8mTJ1O3bt2EbayIJHlaQiki8v9ZWVnRq1cvzp49S8uWLTEajeTKlYsuXbpw+vRprK2tiYqKUvAmYiaioqIAaNmyJb169SI4OBhPT0/evXtnuqdatWoMHDiQXLlyMWnSJHbt2pVQzRURM6EZOBGRv0gzbyLm4/eWQW7dupUZM2bw7t073N3dKVeunOkzHx8fJkyYQL58+Vi2bNmnbq6ImBEFcCIiv0N7WETMV9zff3d3d65du8asWbOA90Hc4sWLSZkyJRMmTKBMmTKm53x9fSlWrJjOdxOR/yn1MCIiv0PBm4h5MhqNpt//U6dOcejQIZYtW2YK4Fq1akXfvn0JDQ1l4sSJXLhwwfRsiRIlTNUmRUT+VzQDJyIiIvIbo0aN4uzZs2TOnJmzZ88SGRlJnz59mDhxIgCbN2/Gzc2NoKAgVq5cScGCBRO2wSJiNlQLW0RERMxe3D2uW7Zs4YcffmDv3r2UL1+ex48fM3/+fNavX4+lpSXjx4+nbdu2hIaGcvHiRQoUKJDArRcRc6IllCIiImK2vvnmG8LCwuIVKLp79y52dnZUrFgRKysrcufOzaBBg6hcuTJz585l5syZAHTt2pXZs2dr2aSIfFIK4ERERMQsXbx4kZCQkA+qy+bJk4ewsDCuXbsW71qPHj2IjIxk2bJlfP/998D740diYmJUuEREPhn1NiIiImKWSpYsydq1a7G2tsbNzc10vlv+/PkJDQ1l5cqVPH782HR/qlSpaNiwIa1ateLHH3/k9u3bgIoeicinpSImIiIiYnbu379P3rx5TX+uVasWadOm5eTJk6RKlYq1a9fi4OBA586dqVOnDgULFmTEiBHY29vTq1cvSpcuzdatW2nRokWCfg8RMT+agRMRERGzcu3aNezs7HB3dwcgZ86cLF++nOTJk1OtWjXevXtHp06dcHNz4/r16zg4ONC0aVOeP3/O7NmzKVCgAMWLF8fW1jaBv4mImCPNwImIiIhZeffuHVOmTGHevHksW7aM7t27ExUVxfHjxxk1ahQxMTEcO3aM1KlT8/jxY0JCQggODqZEiRJYWFgwatQotmzZgo+PD9mzZ0/oryMiZkYBnIiIiJidwMBAFixYwIQJE1i/fj3t2rWLF8QBHDt2jFSpUpmeOX36NLNnz8bHx4d9+/ZRsmTJBGq9iJgzLaEUERERsxEVFYXRaMTW1pZx48aRO3duOnTowOrVqzEYDFSrVo0ZM2ZgZWVFkSJFCAsLMz1bsGBB7OzsOHz4sII3EUkwmoETERGRJO3QoUOcPn2asWPHxrvetm1bbt++zVdffcXixYtxd3enW7duREVFceDAAdOB3nGPGYiJiVHVSRFJUIaEboCIiIjI/0p4eDibNm3i9OnTWFtb4+joCEDr1q25ffs2P/74I9myZSN9+vR88803WFhY0LVrV+rVq0fDhg0BiI6ONgVxCt5EJKEpgBMREZEkK3ny5EyYMIEZM2awfft2bGxsOHnyJL/88gvbt28nd+7cADg5OWFpaUn37t3JnDmzKXgDPjjoW0QkIWkJpYiIiCR5T58+Zdq0afz4448EBgZy+fJlcuTIQVRUFAbD+3z2u3fv2LBhA927dzddExH53CiAExEREbPw7Nkzpk2bxsmTJ2nfvj0jRowA4i+RjBU3sBMR+ZwogBMRERGz4e/vz9SpUzl37hwtW7Y07YkzGo1YWqo4t4h8/hTAiYiIiFnx9/dn2rRpXLhwgZo1a/Ldd98ldJNERP4ypZpERETErGTNmhVnZ2fs7e15/vw5ymWLSGKiGTgRERExS69fvyZdunRYWlrqfDcRSTQUwImIiIhZ0/43EUlMFMCJiIiIiIgkEko3iYiIiIiIJBIK4ERERERERBIJBXAiIiIiIiKJhAI4ERERERGRREIBnIiIiIiISCKhAE5ERORfdv/+fSwsLLh06VJCN0VERJIYBXAiImJWunfvjoWFhel/GTNmpEGDBly+fDmhmyYiIvJ/UgAnIiJmp0GDBjx9+pSnT59y6NAhDAYDTZo0SehmiYiI/J8UwImIiNlJnjw5WbNmJWvWrJQsWRInJycePXrEixcvALhy5Qq1atUiRYoUZMyYkT59+vDu3TvT80ajkcmTJ5MzZ06SJ09OyZIl2bdv3x/+fdHR0fTs2ZOCBQvy8OHD//n3ExGRpEsBnIiImLV3796xZs0a8uXLR8aMGQkODqZ+/fqkT5+ec+fOsXnzZg4ePMiAAQNMz8yfP5/Zs2cza9YsLl++TP369WnWrBl37tz54P3h4eG0bduWS5cuceLECXLnzv0pv56IiCQxhoRugIiIyKe2e/duUqdODUBwcDDZsmVj9+7dWFpasm7dOsLCwli9ejWpUqUCwNXVlaZNm+Li4kKWLFmYNWsWjo6OtG/fHgAXFxeOHDnCvHnzWLRokenveffuHY0bNyY8PJwjR45ga2v76b+siIgkKZqBExERs1OzZk0uXbrEpUuXOHv2LPXr16dhw4Y8ePCAGzduUKJECVPwBlClShWMRiO3bt0iKCiIJ0+eUKVKlXjvrFKlCjdu3Ih3rUOHDgQHB7N//34FbyIi8q9QACciImYnVapU5MuXj3z58lGuXDlWrFhBcHAwy5cv/1f/nkaNGnH58mVOnz79r75XRETMlwI4ERExexYWFlhaWhIaGkqhQoXw9fUlODjY9PnJkyextLTkP//5D2nTpiV79uycPHky3jtOnjxJ4cKF413r168f06dPp1mzZhw7duyTfBcREUnatAdORETMTnh4OP7+/gC8efMGV1dX3r17R9OmTSlfvjwTJkygW7duTJw4kRcvXjBw4EC6dOlClixZABg5ciQTJkzA3t6ekiVL4u7uzqVLl1i7du0Hf9fAgQOJjo6mSZMm7N27l6pVq37S7yoiIkmLAjgRETE7+/btI1u2bACkSZOGggULsnnzZmrUqAGAt7c3gwcPply5cqRMmZLWrVszZ84c0/ODBg0iMDCQ4cOH8/z5cwoXLszOnTvJnz//7/59Q4YMwWg00qhRI/bt20flypX/599RRESSJouYmJiYhG6EiIiIiIiI/N+0B05ERERERCSRUAAnIiIiIiKSSCiAExERERERSSQUwImIiIiIiCQSCuBEREREREQSCQVwIiIiIiIiiYQCOBERERERkURCAZyIiIiIiEgioQBOREREREQkkVAAJyIiIiIikkgogBMREREREUkkFMCJiIiIiIgkEv8PK+YT3bxmFeEAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt  # Correct import statement\n",
    "import seaborn as sns# Example visualizations\n",
    "# Count plot for books\n",
    "plt.figure(figsize=(10, 6))\n",
    "sns.countplot(x='book', data=df_pulse)\n",
    "plt.title('Count of Books')\n",
    "plt.xlabel('Book')\n",
    "plt.ylabel('Count')\n",
    "plt.xticks(rotation=45)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "# Define the response value you want to count\n",
    "response_value = 2  # Change this to the desired response value\n",
    "\n",
    "# Filter the DataFrame based on the response value\n",
    "filtered_df = df_pulse[df_pulse['response'] == response_value]\n",
    "\n",
    "# Group by 'book' and count occurrences of the response value\n",
    "response_counts = filtered_df.groupby('book').size().reset_index(name='count')\n",
    "\n",
    "# Plot\n",
    "plt.figure(figsize=(10, 6))\n",
    "sns.barplot(x='book', y='count', data=response_counts)\n",
    "plt.title(f'Number of Responses with Value {response_value} Sorted by Each Book')\n",
    "plt.xlabel('Book')\n",
    "plt.ylabel(f'Number of Responses with Value {response_value}')\n",
    "plt.xticks(rotation=45)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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ZcuXKma+//jraeo8bN87UqVPH+Pj4mCZNmpj333/fhIWFGWOM7V84vpkzZxpXV1ezevVq27QGDRqYkSNHmjt37pg7d+4YY4zZunWreemll0zNmjVNmzZtzOjRo/m8AIg3sjtuZDcSguwGkBLI7riR3UiI1JTdnPEOIEaRA0907dpV7u7u+vLLL6PdLy5qOycnJ/3111965513tH79ehUrVkw///yz7Z5zMT3PEaxYsUKtW7fW7Nmz1blzZ9v0qlWrysXFRXfu3FG+fPk0depUFS5cWKGhoQoODpanp6etLUfc048dO3aoQYMGmjlzprp06WKb/swzz+iff/7RjRs35O7urqlTp6phw4YKCwuTs7NztJHW+bwAiAvZ/XhkNxKC7AaQ3MjuxyO7kRCpLbu5xzuAGDk5OSkiIkK7d+9WwYIF5eLi8sj94owxcnJy0u3bt1WgQAGNHz9e7733no4ePerw4S9J2bNnlyT98ssvun37tiSpVatWunbtmt544w299dZbOnv2rFq3bi1JcnNzixb+kgj/dKRQoUIqVKiQFi9erBs3bkiSXnnlFV25ckWffvqpRowYoWLFiqlFixY6deqUXF1do4W/xOcFQNzI7scju5EQZDeA5EZ2Px7ZjYRIbdntuN9MAE/M2dlZVqtV165dk/TooCwWi0XXr1/Xiy++qNmzZ6tEiRL67LPPJMnhw99qtapu3bravHmzGjdurIiICF24cEFnz57Vrl27VKBAAUlSrly59Nprr2nnzp2qW7eufYuGXRUsWFA7duxQw4YN1aJFC2XJkkUXL17Ujh07VLBgQUmSr6+vduzYoRMnTqh48eL2LRhAmkR2x47sRkKR3QBSAtkdO7IbCZXasttxv50AnlhwcLAqVKigLVu26PDhw6pSpYqkfy9zk6Tr16/Lw8PjkbB35PCPiIiQk5OTrFarGjZsqPXr19tGSN+7d68KFChgGwQnW7ZsKlasmHLmzGnnqmEvkd8XY4zy58+vrVu3qmXLlvrhhx+0d+9eFSxY0HYpW/78+VWgQAF5eXnZu2wAaRTZHTOyGwlBdgNISWR3zMhuJERqzW5uNQPAZu/evZo/f75mzpypW7duKVOmTOrRo4eOHTumsWPH6tdff5UkW/jfv39fH3zwgTw8PPT000/bs/QUcezYMUkPz0iwWCwyxigiIkKNGjXS9u3bZYzR3LlzdenSJdtZCpMmTdLTTz+tEiVK2LN02MGRI0d09uxZ2/fFYrEoPDxc+fPn18qVK1WiRAm9++67unDhgu1StgEDBihXrlyqU6eOPUsHkIaQ3XEju5EQZDeAlEB2x43sRkKk+uxOkiFaAaR5s2bNMnny5DHly5c3RYsWNQ0bNrSN9Dx79mxjsVhMvXr1zNSpU8358+fNkiVLTIMGDUzZsmVtoz1HjrbuiFasWGEsFotp3LixmT9/vjl+/PgjbTZt2mScnZ1N9+7dzeXLl03Tpk1NsWLFbKPMO/Lrg+i2bNliLBaL8fb2NhMnTjTr169/pM1ff/1lihUrZmrVqmUuXrxomjVrFu3zEh4entJlA0hjyO64kd1ICLIbQEogu+NGdiMh0kJ20/EOwEyfPt24uLiYb775xly/ft18/fXXpnjx4ubSpUu2NmvXrjWlS5c27u7uxmKxmLJly5rXXnst3fxHY+PGjaZ+/fqmc+fO5s033zTZs2c3X3zxhdm1a1e0dhs2bDBubm621yjy9YncSUL6cOTIEdO2bVszbtw489Zbb5kyZcqYFi1amK1bt9p2rI15uBNQvHhxY7FYTKlSpfi8AIg3svvxyG4kBNkNILmR3Y9HdiMh0kJ20/EOpHMLFy40FovFrFy50jbt5s2bpnjx4mbQoEGmdevWZt26dcYYY65du2bOnTtndu/eba5cuWKsVqsxxnHDLXL9jDHm5MmT5sUXXzTbtm0zxjw8G6FNmzamSpUq5u233zYHDhwwt2/fNsYYs3nzZvPcc88R/unY1atXTdWqVc3UqVONMQ8/Px06dDCNGjUyNWrUMJs3bzanT582xhhz9uxZ06NHDz4vAOKN7I4d2Y3EIrsBJCeyO3ZkNxIrLWS3xRhjkv+GNgBSo/DwcNWvX1/nz5/X/PnzVa9ePUnSiy++qCNHjqh27dq6dOmS9u7dq9mzZ6tjx46PLCPqgC+OJHLQjagGDRqkjRs3avfu3cqaNasuXryoSpUqKSwsTKVLl5bFYlGPHj30+uuv257j6KPM46GzZ8+qcOHCkmQb4Of777/XgAEDNH/+fFWtWlUhISEqWLCgXFxc5OHhIW9vb1WrVk1jxoyRq6urJD4vAB6P7I4d2Y2EILsBpBSyO3ZkNxIiLWa3431rAcSbi4uLVq9ercKFC2vYsGHasWOHWrZsqXPnzumHH37QwoULtXv3bjVt2lQjRoxQUFDQI8twxPAfPXq0Ro4cKenhxtxqtUqS3nnnHfn4+OjXX39VRESEXnjhBVWuXFknTpzQkCFDlCNHDk2dOlVRj2cS/o5v9uzZmj17tqSHO46RAwBVqFBBhQsX1o0bNyRJ1atXV/HixfXXX39p1qxZ8vPz008//RRtR5PPC4DHIbtjRnYjIchuACmJ7I4Z2Y2ESKvZzRnvQDoTeVRQ+vco382bN9W8eXP9/vvveuqpp7Rt2zYVLlzYdlT9/fff1969e7Vp0ya5u7vbeQ2Sl9Vq1fDhw3Xp0iXNmjUr2rywsDB17NhR9+/f119//aWnnnpKS5cuVa5cuWxtIl/fqK8zHNuXX36p6dOn67fffnvkvR82bJhmz54tDw8P+fr66uuvv5avr+8jy3DUM1gAJA2yO25kNxKK7AaQ3MjuuJHdSKi0mt3sKQDpTHh4uO13FxcXhYaGytvbW+vWrVPVqlXl7e2tP//8U+Hh4XJyclJERISOHDmiIkWKOHz4Sw/PJGjbtq02bdqktWvX2qZbrVa5urrq008/1Z49e+Tq6qo1a9bYwj/yGCbhn/68/fbb8vHx0cyZMyU9/AxEnq0xcOBA+fr66qmnntLy5ctjDH/JMc9gAZB0yO64kd1IKLIbQHIju+NGdiOh0mp2s7cApCNz5sxRpUqVtHLlSh06dEiS5ObmJkny8vLSsmXLlDFjRo0YMULbtm1TRESEXnrpJf3999+aNm2aJMnRL5KxWq3Kly+fmjRpok2bNunatWuSHm6grVarfHx89MILL6hixYry9PS0beijBj7hn/4UK1ZM69at0/Xr1yX9G+ju7u6qWrWq3NzclDNnTkmO/x0CkLTI7scju5EYZDeA5EJ2Px7ZjcRIi9lNxzuQDkRucBYvXqzTp09ry5Yt6t69uwYOHKjffvvN1s7b21vfffedLBaLPv30U1WsWFF//PGHjh49KhcXF9t9tByZk5OTMmbMqMaNG2vp0qVauXKl7fVzcnJSpkyZ9OKLL2rhwoXau3cvZztBbm5uev/99/Xjjz9q6NChtulWq1UuLi4aOnSojh49qgkTJkhiBxFA/JDd8Ud2I6HIbgDJgeyOP7IbCZVWs5t7vAPpQOQlWBs3btSqVav09ttv68GDB+rbt6/y5s2r0NBQff7558qePbty586t69ev6/nnn5cxRocOHZKrq2u6HCV85MiR+uSTTzR//ny1atUq2vpXr15dVapUkb+/vx0rRGoQEREhZ2dnbd68WS+++KJ69+6tMWPG2OaHh4erZcuWyp07t6ZOnWrHSgGkJWR34pDdiA+yG0ByILsTh+xGfKTZ7DYAHFpERITt95MnT5py5cqZpUuX2qbt2LHDWCwWU6FCBdOkSROzfPlyExYWZoKDg23PDQsLS/G67SnqazZgwADj5ORkRo8ebU6cOGGbvnbtWhMSEmKP8mBnUT8f/7VkyRKTMWNG07ZtW/PLL78Yq9VqjDHmwIED6e57BCDxyO6EI7sRF7IbQHIjuxOO7EZcHCW7OeMdcFDdunVT//79VaxYsWjTJ06cqOnTp+vw4cPKnDmzypUrpzx58qh9+/Y6ePCgJk+erL59+2r8+PGS7DPqc2ozadIkzZ49W0WKFFHdunXVp08f29kM6fGMhPRq+/btyp07t0qUKBHn9+LQoUNq3769nn76aeXPn1/Dhg2Th4eHPDw8bEfpASAmZHfSIbshkd0Akh/ZnXTIbkiOl910vAMOKCwsTK1bt1bv3r1Vv379aBudP/74Q/369dPbb7+tDz/8UFmyZNHatWv11FNPSZJ++eUXlSlTJtVspJJLTBtw859R0aM+/vHHH/Xzzz/r888/V82aNVWvXj1179491dw3DMkrICBAr732mu7cuaOvv/5axYoVi/MzdO3aNa1fv17Lli3TjRs31L59e7Vt29b2PQOA/yK7H4/sRkKQ3QCSG9n9eGQ3EsIRs5uOd8BBderUSYGBgdqwYYOk6GHWsWNHLVy4UM8//7y++eYbeXp6Sooeio58RDnqel68eFFBQUEqWrSonJycZLFYor1W/90puHnzps6cOSN3d3eVK1fOLvXDPtasWaPp06fr9u3bmjt3bqw7Af+ddvToUWXPnl158+ZN6ZIBpDFkd+zIbiQG2Q0guZHdsSO7kRiOlt10vAMOJjKwzp49q5YtW+qdd95Rp06dJP0b6mfPnlXbtm3VsWNHdevWzb4Fp7Cogf7RRx9pzZo1unr1qvLkyaNXX31VnTt3VrZs2WJ8Lpf/pU9RPzPr16/X5MmTde/evTh3AiQ+LwDij+yOG9mNhCK7ASQ3sjtuZDcSylGzO/VWBiBRIjdUOXLkUKVKlbR27Vr99ttvkmQ7kp4jRw7lzp1bu3btslud9hL5+owaNUozZszQp59+qosXL8rT01NTpkzR33//HetzU/PGHMkn8mwMSWratKn69OmjLFmyqHPnzvrjjz/k5OQkq9X6yPP4vACIL7I7bmQ3EorsBpDcyO64kd1IKEfN7tRdHYBEy5Ili/r06aNDhw7piy++0IULF6LNGzhwoJYtW6atW7fascqUZ4zRnTt3tHnzZo0dO1bNmjXT9u3bdejQIQ0ePFjly5dXeHi4wsPD7V0qUpHE7gQAQEKQ3TEju5EYZDeAlEB2x4zsRmI4YnbT8Q44KGOMypcvr8WLF+ubb77RBx98oD179tjmFyxYUB999JHq1q1rvyJTSNQ7alksFlmtVt25c0eNGzfW5s2b1aJFC40ZM0ZvvfWW/vnnH82dO1dnzpyxY8VIjWLaCfD09FTXrl11/PjxVH+kHUDqR3b/i+xGUiC7ASQ3svtfZDeSgqNlN/d4BxxY5L2u9u7dq169eilnzpyqWbOmhg0bFq1dehnQJTAwUD4+PpKkZ555Rq6urjp69KjGjx+vLl26SJIuXLigDh06qGfPnnrllVfsVjfsI7b7w0VERMjZ2VlS9HvPbdiwQR9++KGqVKmiadOmpWitABwT2U12I2HIbgD2RnaT3UiY9JTddLwDadh/R/6OSeQG7fTp01q9erXmz5+vDBkyqG7duurVq5cKFCiQQtWmvKgb888//1wHDx7UgAEDVLNmTX3//fd65513VKBAAW3btk2SFBQUpNatW+uff/7Rli1bbBt8pA9RPy/79u3TvXv35OLiovr160uKfSdg3759ql69epo78g7APsjuuJHdSAiyG0BKILvjRnYjIdJbdtPxDqRRUTdWxhiFhobK3d09xrb/3VGYP3++wsPDlT9/fj3//PMpUq89DR48WHPmzJG/v78qVaqkp59+Wrdu3dKMGTM0ceJEFSpUSL6+vrp27Zru3r2rw4cPy9XVNdoGH+nH4MGDtWbNGoWGhipHjhwyxmjXrl2PfL/++71K7aOpA7A/sjv+yG4kBNkNILmQ3fFHdiMh0kt20/EOpEFRNzTjxo3T0aNH9dNPP+ntt99WzZo1Va1atcc+L73Yv3+/2rVrpxkzZtiOoEa6c+eOTp48qWnTpsnLy0t58+bVO++8IxcXF4e+DBCxmzRpkkaOHKnvv/9e1apV09ixYzVo0CBt2rTJtrMcnzNeAOC/yO74I7uREGQ3gORCdscf2Y2ESE/ZzacbSIMiQ3zIkCGaPXu2Pv74Y1WoUEFfffWVNm3apAULFih79uyxPi89uXLlikJDQ1WqVCnbtMgNeJYsWVS9enVVr1492nMiIiII/3TIarXq999/1/Dhw1WtWjV99913GjlypKZPn67nn39eDx48UKZMmRwi/AGkPLI7/shuxBfZDSA5kd3xR3YjvtJbdqe/rQHgIA4fPqzVq1drzZo16tGjh2rUqKG//vpLr732mrJnzy6r1WrvEu0qcv1dXFzk4uKiGzdu2OZFXujz9ddfa9euXY88l8vc0of/XvAVeU9GY4w2btyodu3a6fPPP9ebb76piIgITZ8+XfPnz7dTtQAcAdkdN7Ibj0N2A0hpZHfcyG48TnrPbjregTTKarXK3d1dNWrU0PLly9WkSRNNnjxZ7du3V1BQkDZu3Kjbt2/bu8wU898dnsizDMqVK6c7d+5o4sSJunPnjm1eSEiIlixZoh07dqR4rbA/q9VqO4L+559/6tatW5Kk2rVra/ny5Xr11Vc1ZswYde/eXZJ048YNbd26NV19pwAkPbI7OrIbCUF2A7AHsjs6shsJQXZzqxkgTYjpHnH379/XP//8oyVLlqhHjx76/PPP1a1bN0kPR3tevHixihQpIi8vLztUnPIiX58pU6bo+PHj8vDwUKdOnVSiRAnNnz9fLVu21N27d9W4cWN5e3vryy+/1NWrV7V69Wr7Fo4UF/X79OGHH2r37t0aNGiQmjZtqjZt2mjhwoUqWLCgatWqpfDwcAUEBOitt97SrVu31KtXLztXDyCtILsfj+xGfJHdAFIC2f14ZDfii+x+iMFVgVQu6sZq6tSpslqt6tmzpySpWbNm2rBhgyZNmqTevXtLkoKDg9WqVStlyJBBy5cvd/j7y0V9fd5//33NmjVLVatWVUBAgC5duqT169erUqVK+vHHHzVgwAAFBATIy8tL+fLl04oVKxhFPR0bNmyYpk2bplmzZqlmzZq2+zP+9NNPat68ubJnz65bt24pb968CgsL048//sjnBUC8kN1xI7uRWGQ3gORCdseN7EZipffs5ox3IJWLDLcBAwZo2bJl6tixo/7++2/lzZtXI0eO1K1btzRhwgRlzZpVt27d0vfff6/Lly/r6NGjcnJycvgR1SPXLXIwlw0bNqhy5co6deqUPvjgA9WuXVu7du1SrVq1tH79eoWFhSk8PFy+vr6yWCyMop5OnT17VitXrtS0adP0wgsv2KaHhYXZdhh/++03/fnnnypRooQaNWokZ2dnPi8A4oXsjhvZjcQguwEkJ7I7bmQ3EoPs5ox3IE1YvHix+vfvr/Xr16ty5cq26VarVX/88Yc++eQT/fzzz8qZM6eKFi2qKVOmyNXV1aE2VnFZunSpOnfurFKlSmnlypUqVKiQJOmvv/7Se++9pw0bNuiHH35QxYoVoz3P0XeOELtjx46pfv362rZtm8qUKSNjjO3ec8HBwQoNDZWnp2e05zjKEXcAKYPsjhvZjYQiuwEkN7I7bmQ3Eors5ox3IE04fvy4/Pz8VLlyZdtGKDLcS5QoocWLFyswMFDZs2e3baDSS/hLUr58+eTn56ctW7YoJCRE0sORswsUKKBx48bJycnJdjS+aNGitucR/ulD1HCPlCVLFt2/f1+HDh1SmTJlZLFYbDuE+/fvV0BAgF566SVlyJDB9hxHCn8AyY/sjhvZjbiQ3QDsgeyOG9mNuJDdMUsfWwcgjQsICNCZM2ckPdwIGWPk4uKi4OBg/fDDD3r++efl4+Njax853xHFdLT82WeflYeHh27cuCE/Pz/t3r1bBQoUsO0EfPbZZypatKjtiDzSj6ifl3v37ilLliySHu40tm3bVv7+/sqWLZuaN28uJycnRURE6NNPP1WhQoXUpk0be5YOII0ju/9FdiMhyG4A9kJ2/4vsRkKQ3bHjVjNAKhLbJViTJk2Sv7+/pk6dqtq1a8vNzU2SdO3aNbVo0UKDBw9Ws2bNUrrcFBf19VmxYoX+/vtvhYSEqGnTpipbtqyOHTumd955R+fOndP27dttOwFRj7qmpzMS0ruo7/2oUaO0Z88ePXjwQIMGDVL9+vV18uRJffrppzp8+LBeeukleXh4aPfu3bp+/bp+/vlnPicA4oXsjhvZjYQguwGkBLI7bmQ3EoLsjhsd70AqETXcNm7cKKvVKk9PTz377LMKDQ1VzZo1ZYzR4MGD9eyzzyooKEj9+vXTzZs39cMPPzjc5ThxGThwoBYuXKgGDRrojz/+UHBwsLp166YePXro0KFD+uCDD3T+/Hlt3LhRhQsXtne5sIOo36dJkybp448/Vv/+/bVlyxb9/fff6tatm9555x0FBARoxYoVmjNnjvLnz6+8efNq6tSpcnFxYWcRwGOR3fFHduNxyG4AKYHsjj+yG49DdseDAZCqDBgwwHh6epqnn37auLm5mVGjRhljjAkODjZ+fn6mdOnSxs3NzVSsWNFUq1bNhIaGGmOMCQ8Pt2fZycpqtdp+X7ZsmcmXL585dOiQMcaYhQsXGldXV7NixQpbm59//tmUL1/evPLKKyleK1KXY8eOmbffftts3rzZNu29994zJUuWNKNGjTK3bt0yxjz8fkUVFhaWkmUCSOPI7keR3UgsshtASiC7H0V2I7HI7tg58CEFIO05e/asNm3apJ07dypjxozasWOHevfurXv37unTTz/VunXrdPLkSZ08eVI+Pj565plnog344mjmzZunVq1aycPDwzbt3Llzql69uqpUqaLly5erZ8+emjx5slq2bKn79+/r8uXLqlChgr7++msVK1bMjtXD3latWqW3335bGTNm1Ouvv26bPnbsWFksFi1cuFAWi0Xt27dX7ty5bfONA9+rEUDSI7ujI7vxJMhuACmB7I6O7MaTILvj5vhrCKQRn332mS5cuKDnnntOFStWlCSVKFFC7u7ueuutt+Ts7KwRI0aoTJkyKlOmjO15ERERDrmxmjx5svbt26cOHTpEmx4UFKQCBQpo37596tKli8aMGaNu3brJGKOVK1fqypUr6tevn0qUKCFJttHokf68/PLLWrdunRYtWqQffvhBlSpVsu1MjhkzRk5OTho3bpxy586t9u3b257335HYASA2ZHd0ZDeeFNkNILmR3dGR3XhSZPdj2PN0ewAPhYaGmiFDhhiLxWLq16//yPw5c+YYd3d3079/fztUZz+Rl/H98MMP5ubNm8YYY7Zs2WIsFouxWCxm+fLltrZBQUGmUaNGpk+fPnapFfYVERER7XHkpaDGGNOuXTtTtGhRM3fuXHP//v1o7fz9/R36clEAyYfsjhnZjfgiuwGkNLI7ZmQ34ovsTrhHh3EGkOysVmu0x66urhoyZIhGjRqlHTt2aMaMGdHmd+7cWePGjdOhQ4dk0sF4yBEREZIkZ2dnbd68WR06dNDkyZN169YtNWzYUCNHjpSbm5vu3r2rs2fP6ueff1aLFi109epVffHFF5KULl4nPBR1QJeZM2eqa9eu6tSpkyZOnChJWrhwoapWrarRo0frm2++UVBQkO25PXr0kLOzs+0zBwCxIbvjRnYjIchuACmB7I4b2Y2EILsTx2L4lgApKurG6tixY7p+/boKFSqknDlzKkOGDProo480cuRIzZo1S2+88Ua05xpjZLFYbP86oqivT6R33nlH+/fv1wsvvKC+ffsqPDxc48eP1xdffCEvLy/lyJFDOXLk0Pr16+Xq6splbunUoEGDtHjxYrVu3Vo5c+bU+++/r759+2r8+PGSpHbt2uno0aPq3r27unTpogwZMti5YgBpBdkdN7IbiUV2A0guZHfcyG4kFtmdQPY4zR5Ir6KOEj548GBTpkwZkzNnTvPcc8+ZVq1amRs3bpiwsDAzfPhw4+TkZObMmRPnMhxN1MuWZsyYYRYvXmx73K9fP1OpUiUzcuRIc/fuXWOMMSdOnDB79uwxv/76q+256WFUbDwU9bvwww8/mEKFCpkffvjBGGPMxo0bjaurq5k1a1a05/j5+ZnXXnvNob9HAJIW2R03shsJQXYDSAlkd9zIbiQE2f1k6HgH7OCLL74wOXLkMLt27TLGGNOtWzeTMWNGs2PHDmOMMQ8ePDDDhw83FovFrFu3zo6V2seAAQNMnjx5zKeffmoCAgJs0yN3Aj755BNz48aNR5733/uNwTH16NHjkff6m2++MbVr1zbGGLNy5Urj4eFhpk2bZowx5vbt22br1q22tpHPZScAQEKQ3XEjuxEXshuAPZDdcSO7EReyO2nQ8Q4ksxMnTth+t1qt5sGDB6ZFixZmypQpxhhj1q9fbzw8PMyMGTOMMcb8888/JiQkxISGhprZs2enuyPJc+fONTly5DBHjhyxbaCjDsLRv39/U61aNTNw4MBHBuyA4zt+/Lhp2rRptEFcjDFm586dpk6dOmbKlCkmS5YsZurUqbZ5mzZtMi1atDBnzpyxTWNnEUBcyO6EIbsRF7IbQEoguxOG7EZcyO6kw+CqQDLq27ev/P39Jf17nzg3NzcFBQWpWLFi+v7779W6dWuNHTtWb775psLCwrRo0SJt27ZNrq6ueuONN+Ti4qLw8HA7r0nyMlGGmjhx4oReeOEFVapUyTbwRtT76n3xxRcqXbq0rl+/rkyZMqV4rbCvkiVL6vvvv5erq6sWLFhg+27kyJFDERER6tevnwYMGKBu3bpJkoKDgzV58mRlzpxZhQoVsi3nv/czBIBIZHf8kN2IL7IbQHIju+OH7EZ8kd1Jx8XeBQCOrHnz5qpdu7YkKSAgQLly5ZIxRm5ubnr33Xd14cIFjRs3Tm+//bYk6erVq1q2bJlat24dbTkuLo75Vf3111/11FNPKV++fLZpJ0+e1L179yQ9XO/IQV9CQ0N19OhRVatWTXPmzJHVanX4AW8QXdT3+sqVK+rVq5emTZumPXv2qFSpUnrrrbd07tw5nT17VkuXLlXGjBnl7++vwMBArV69ms8LgHghu+NGdiMhyG4AKYHsjhvZjYQgu5MWhx6AZBB5JLl+/fpydXW1jfi8f/9+ubi4aPLkyQoKClLBggXVuXNnPXjwQDdv3tSbb76p4ODgR0ZVd0RLlixR27ZtNXDgQN26dcv2mjVq1Eg3btzQxo0bJf17hDQwMFBDhw7Vzp07bdMjdwLg+KK+1/fu3VOuXLm0bds2Xb9+XXXq1JExRh06dNCwYcN069Ytde3aVRMmTFDWrFl15MgRubi4KCIigs8LgFiR3Y9HdiMhyG4AyY3sfjyyGwlBdic9i4l6rQmAJBF5tDjSsmXLNG3aNHl6emrIkCGqUaOGNm7cqDZt2ihfvnxydnaWh4eHHjx4oAMHDsjV1VURERFydna241okn7lz56p3796aPHmyKlasqIoVK9rmnTlzRq1bt1bu3LnVtm1btWjRQhcvXlS/fv1048YN7d6922FfF8Qs6vdp0qRJun79utq2basSJUro0KFDatOmjXx9fbVnzx5ZLBbbDrWXl5cyZ84si8Wi8PBwhz2DBUDSILvjRnYjIchuACmB7I4b2Y2EILuTBx3vQBKLurHauXOnSpcurRw5cmjNmjX66quv5ObmpuHDh6ty5cq6evWq5s+fL6vVqjx58ui1116Ts7OzQ2+s9u3bp9atW2v8+PF65ZVXos178OCBMmXKpDNnzqhPnz46deqUrl69qkKFCsnNzU179+51+J0jxG7gwIGaO3euJk2apGeffVb58+eXJNtOQJ48ebRjx45HPhtc5gbgccjuuJHdSCyyG0ByIbvjRnYjscjupEXHO5CEom5ohgwZouXLl+ujjz5SmzZt5O7urlWrVmnKlClyd3fX0KFDVaNGjUeW4ejhtmjRIi1atEjfffed3N3dJUmbN2/Wjh07tGbNGjVq1EjdunVTvnz5dOHCBe3bt0/58+dX3bp1HX7nCLFbt26devbsqeXLl6t69eqPzD98+LBee+01ubq66vfff2cQFwDxRnY/HtmNxCC7ASQXsvvxyG4kBtmd9PgWAUkoMvxHjx6tOXPm6Ntvv1WpUqVsQffyyy9LkqZNm6bPPvtMgwYNUq1ataItw5HDX3o4kM2hQ4f04MEDubu7q3///jp8+LCCg4P1zDPPaNWqVQoMDNS0adNUokQJlShRwvbciIgIwj+diNyZjvz3r7/+Us6cOVWqVKlH2khSlSpVtGDBAn3xxRfieDKAhCC7H4/sRnyQ3QBSCtn9eGQ34oPsTn4cmgCSkDFGDx480JYtWzRkyBDVqlVLTz31lCQpPDxc0sOdgF69eunvv//W6tWr7VitfTRt2lSlSpVS8eLFVaRIEa1YsUJt27bVN998o5kzZ2rEiBFavny5/v7770ee6+g7R3jo4MGDWrdunW7cuGEL+MDAQIWFhSlLliySZBuwxRijdevW6eTJk6pZs6ZWrFghZ2dnRURE2HMVAKQhZPfjkd14HLIbQEoiux+P7MbjkN0pg4534Aldv37d9rvFYtG9e/d09OhR5cqVS9LDe89JkouLi4KDgxUYGKgXXnhBEydO1OjRo+1Ssz2VKFFC48eP19ChQ/XGG2/ot99+01tvvaUCBQpIknLlyqXKlSsrc+bMdq4U9rBw4UK1a9dO27dv18WLF23TX375Zf32228aO3aspH93Bu/cuaPZs2fr4MGD0ZbDziKAuJDdCUN2Iy5kN4CUQHYnDNmNuJDdKYd7vANPYNWqVZo5c6Y6deqkFi1a2C7HatiwobJly6bZs2fLw8PDdv+4H3/8UZs3b9bAgQNtAfffkdgd2eMG2wgODlbr1q3l6uqqFStWMDBHOjNv3jz17NlTX331lRo0aGAbxCXSp59+quHDh2vAgAF65ZVXFBwcrBEjRujy5cs6fPgwl0MCiBeyO2HIbsSF7AaQEsjuhCG7EReyO2Wlj60OkAxmz56trl27qmrVqsqWLVu0jY+fn59Onz6tCRMmyGq1ytnZWf/8849GjRqlw4cPK1OmTLa26SX8JT0S6JHH/e7fv68ff/xRLVq00Pnz57Vs2TJZLBbbWQtwfCdOnNC4ceM0a9Ysde7cOVr4X716VXfv3tUHH3ygqVOnasaMGWratKk6deqkkJAQHTp0SC4uLlzmBuCxyO6EI7sRG7IbQEoguxOO7EZsyO6Ux2EKIBHWrVunwYMHa/r06WrVqtUj8/v27aubN29qxYoV+uabb1SyZEmdOXNGISEh+umnn6INXuGIYlq3mKZZLBYFBwdr4sSJ2rp1q7JmzaojR47YNuZctpR+3Lx5U+Hh4Spfvrxt2jfffKMtW7Zo3bp18vDw0KRJk9SlSxc1bdpUAQEBcnV1ValSpeTk5KTw8HCOvAOIE9kdN7IbCUV2A0huZHfcyG4kFNmd8rjVDJAIvXr1kiRNnjzZduT85MmTOnTokC5duqRatWqpdu3a2rFjh7777jsFBQUpf/78GjJkiFxcXBx6YxX1Er7/rmdsoX7gwAHdu3dP9evXZ2OeTq1bt049e/bU9OnTVb16dQ0ZMkQ///yzcufOrRo1aujYsWNauXKl9u7dG20nQUpfl40CSDyyO3ZkNxKD7AaQ3Mju2JHdSAyyO+XR8Q4kUGhoqOrWratq1app4sSJkh7eA2vHjh36+eef5e7ursyZM2vIkCF64403Hnm+Ix9RjrohnjZtmnbt2iVnZ2dVqlRJ/fv3l/T49Wdjnn41atRIP//8s6xWq7y8vDRq1CjVq1dPOXLk0LFjx9SgQQNNmTJFLVq0sHepANIYsjt2ZDeeBNkNILmQ3bEju/EkyO6UxaEtIIHc3NzUokULDRo0SK6urtq9e7euX7+uN954Q3PnzpWvr69atWqlVatW6fXXX1eGDBmiPd9Rw1/69755gwcP1vz589WhQweFhYXpyy+/1JkzZ+Tv7y9nZ+c4dwII//Qn8vOwefNmbdiwQeHh4WrSpEm0sy8sFoty5cqlHDly2LFSAGkV2R07shuJQXYDSG5kd+zIbiQG2W0fdLwDidC+fXsFBwdrx44dKlCggBYuXKg8efLYRkwvVaqUjhw54tBhH5vFixfr22+/1erVq1W9enV98803mjZtmhYsWKDbt29r8eLFcnZ25rI22ETdKWzSpMkj8+/du6dBgwYpR44cqlWrlh0qBOAIyO7Ykd1IKLIbQEogu2NHdiOhyG774NsHJIKPj4+GDh2qAQMGyN3dPdq8oKAg/fTTTypXrpxcXV3tVGHK+e/gLXfv3tXrr7+u6tWra+3atXr77bf12WefKWPGjOrRo4e8vLzk7+9P+COamHaWb968qcOHD2vChAm6cuWKDh06JCcnJy6LBJAoZPe/yG4kBbIbQHIju/9FdiMpkN0pj3u8A0kkJCRE165d01tvvaXAwEAdOHBALi4uDj2K+vnz51WwYEFJ0sqVK9WwYUNlzZpV58+fV+bMmeXn56dXX31VgwYN0h9//KG6desqICBA77//vkaOHGnf4pHiEvpdGDZsmDZu3KiiRYtq3rx5Dj9AEoCUR3aT3Ygb2Q0gtSG7yW7EjexOXXgVgSQQFBSkDz/8UD/99JOsVqv2798vFxcXhx7QZd++fXrnnXc0dOhQ7dq1S1999ZX++OMPZc2aVQULFtT+/ft1584dtWrVyvacevXqqVOnTqpfv74dK4c9RD1aHhQUpODgYGXLls02P6adg+HDh+vFF19UxYoVZbFYFBERQfgDSDJkN9mNuJHdAFIbspvsRtzI7tSHawaAGFit1hinR0RExDj95s2bKlOmjF5++WXt2LFDrq6uCg8Pd9jwl6RMmTKpWLFi6tmzp+bMmaNjx46pQIECttcoe/bsCgoK0vTp03Xq1Cm98847Cg4OVsOGDW33FkP6EDX8R40apRdeeEEVKlRQnz59dOzYMUkPB3GJegFW5HewUqVKslgsslqtDv19AvDkyO7HI7sRX2Q3gJRAdj8e2Y34IrtTJ241A/xH1I3VmjVrdOXKFVksFr322mvKkiVLrEfToz7PkY+4R/XZZ5/po48+UtmyZfXhhx+qRYsWkh6+FsHBwZoyZYrGjh2rDBkyyNfXV3v27JGrq6tDXwaI2A0dOlSzZ8/W+++/r2LFiun1119XvXr11KdPH9WpU0dSwi+LAwCJ7E4IshsJQXYDSC5kd/yR3UgIsjt1oeMdiCLqxmfw4MFavny5vL295e7urlu3bmnbtm3KlStXuh1kIvL1idzB2bZtm0JCQrRs2TKdOXNG3bt3V9u2bW3tHzx4oBs3bujSpUuqVq2anJycuFdYOrVx40b169dPs2bNUq1atXTw4EE9++yz8vb2VsmSJTVy5EhGTgeQKGR33MhuJBbZDSC5kN1xI7uRWGR36pP+tmBAHCLDf9KkSVqwYIGWL1+uw4cPq1OnTjp58qSeeeYZnT171jbCc3pitVptr094eLgkqUGDBmratKl69+6t/Pnza+rUqfr6669tz1m4cKE8PT1Vo0YNOTk5ca+wdOS/3w9vb2/17t1btWrV0saNG9W4cWPNnTtX+/bt04EDB/TFF19o06ZNdqoWQFpGdseO7EZCkN0AUgrZHTuyGwlBdqd+nPEOKPolajdu3NDAgQPVqFEjvfrqq1q3bp1ef/11DRo0SBs2bFBAQIC2b9+u/Pnzp5vLc6KeaeDv76+9e/cqODhYdevW1ZtvvqkMGTLoyJEjGj9+vE6fPq1GjRrp559/1q+//qrz58+ny7MU0rMTJ06oZMmSkh7eW65ixYqqW7eubt++LQ8PDzVv3lz169fX0KFDFR4erqpVq+q3335T//79NWbMGDtXDyCtILvjRnYjIchuACmB7I4b2Y2EILvTBr6VSPeiDh5x4sQJZcuWTa+99pqeeeYZ/fLLL+rdu7dGjx6tDz74QO3atdPZs2dVokQJXb58OV2EvyRbgA8ePFjDhw9X0aJFlT17ds2dO1c9evTQP//8o8qVK2vAgAF69tlntWXLFjk5OenMmTPp8iyF9OyPP/5Q6dKlNXnyZL3zzjsaO3asChUqZLvfYHBwsG7evKn8+fNLkkJDQ1W9enXt2LFDo0aNsnP1ANIKsvvxyG7EF9kNICWQ3Y9HdiO+yO60g2tPkK5t2rRJS5cu1bx589SnTx8dP35ca9euVcOGDSU9vD9W8eLF1a5dO0lSjhw51KVLF+XIkUM+Pj72LD3FLVq0SKtWrdL69etVpUoVrV69WvPnz9edO3fUsWNHLViwQBUqVFCRIkXk5OSkjBkzymKxcG+5dKZYsWJasGCBunbtKjc3N+3evVvFixe3zQ8PD9eDBw+0fv16PXjwQKtXr9bNmzc1derUaPcxBIDYkN3xR3YjPshuAMmN7I4/shvxQXanHXwrkW6FhYXp5MmTOnz4sCpXrqwzZ87o4MGDypgxo63N5cuXtX//frm5uen+/ftauHChSpQooc8++0yS446iHtOlfKGhoWrevLmqVKmi7777Tl26dNHo0aMVERGhESNGqHv37poyZYo8PDxsz7FarYR/OmOMUcaMGRUaGqrQ0FDt3r1bZcuWlbOzs4wx8vX11bx589S1a1f98ccfypYtm3788UdZLBYZYxzy+wQg6ZDdsSO7kVhkN4DkRHbHjuxGYpHdaQf3eEe6ZrVa1axZM23atEktWrTQihUrJMl2tPj8+fN68cUXdebMGeXPn18Wi0W//PJLugg1q9Wq0NBQZciQwTbt4sWLypgxoxo3bqzWrVtr4MCBunTpkp555hnduXNHPXr0sO0cIf2IaYcxICBAGzdu1BtvvKHPP/9c7733nqR/L58MCwtTUFCQsmbNyhkaABKE7I4d2Y34IrsBpCSyO3ZkN+KL7E6beLWRbkVEROjBgwd67rnnVKFCBW3evFldu3bVrFmz5OLiooiICBUsWFBr167Vhg0bZIxR165dbfMc9Qjhjz/+qL179+q7776Tm5ubXnzxRT3//PMqVaqU8uXLp3379unq1atq2rSpJOnevXuqUaOGWrdurZdfftnO1SOlRR0A6O7du/rnn3/k4+MjX19fderUSUFBQerTp49cXFz0zjvvSJK6deumVq1a2S4t5QwNAPFFdseM7EZCkN0AUhLZHTOyGwlBdqddnPGOdCXqxiqqBw8eaObMmZo7d66qVKmiWbNm2eb9/PPPqlixou2xI4f/ggUL9Omnn6p8+fKyWq0yxmjVqlWqV6+eBg4cKD8/P/3xxx968cUX1aRJE3Xu3FkDBw6Up6envv76a+4Vls5E/T59/vnnWrduna5du6ZKlSppzJgxypMnj5ycnDRlyhT16tVLr776qs6fP69bt27p999/J/QBxAvZHTeyGwlBdgNICWR33MhuJATZncYZIJ2IiIiw/b527VozceJEM3/+fPPnn38aY4y5efOmmTRpkqlYsaJp3769CQwMNM8//7xp1aqVvUpOUdOmTTMZM2Y0ixYtMrdu3bJNX7t2rfH19TV16tQxhw4dMiEhIebjjz82RYsWNXny5DE1a9Y0oaGhxhhjrFarnaqHPX3wwQcmV65c5ssvvzR79uwx2bJlMy+88II5fPiw7TOxcuVK07JlS9O9e3fb5yU8PNyeZQNIA8juuJHdSCyyG0ByIbvjRnYjscjutImOd6QLUYNp4MCBpmDBgqZKlSqmQYMGpmzZsuaXX34xxjzcCZg+fbopVqyYyZ07t6lWrZptY+XIFixYYJycnMyaNWuMMf9umCP/Xb9+vXFzczP9+vUzxhhz//59c/78eXPgwAHbjlVYWJgdKoe9bdmyxZQuXdrs3r3bGGPMzp07TaZMmcxTTz1lKlWqZA4fPmz7bDx48MD2PD4vAB6H7I4b2Y3EIrsBJBeyO25kNxKL7E676HhHujJp0iSTJ08es3//fmOMMRMnTjQWi8XkypXLHDx40BhjTFBQkPn777/N1q1bbQHoqBsrq9Vqbt++bfLnz28qVKhgTpw4EW1e1H+HDBlismfPbv7+++9HlsMR1PQh6tkrVqvVWK1Ws2vXLuPv72+MMWbTpk3G29vbzJ8/31y/ft1ky5bNNGvWzPz444/RdsI5QwNAQpDd0ZHdSAiyG4A9kN3Rkd1ICLLbsTx60y3AgZj/H8LAGKPr16/r4MGDGjVqlKpXr67vv/9eQ4cO1dChQ1WmTBm9/PLL+u2335QpUyblyZNHDRo0kLOzsyIiIhz2nlgWi0VZs2bVN998o+DgYA0dOlQHDx60zTMPD85JkkqVKqXQ0FAFBwc/shzuLZc+WCwWBQcH68GDB3rw4IEsFouqV6+u5s2b68GDBxo9erR69+6tDh06yNXVVYULF9b69es1a9asaKOv/3ckdgCIiuyOG9mNhCC7AaQEsjtuZDcSgux2LHS8w6FFbmgsFouyZ8+u7t27q1atWvrtt9/Uq1cvjR49WiNGjNBLL72ky5cvq3z58jpx4kS0ZTh6uFmtVlWrVk3z58/XL7/8ojFjxkTbCYh06dIlVa9eXXnz5rVXqbCjrVu3qmfPnipRooSKFCmi5s2ba8OGDXJ3d1fevHl17949BQQEqGTJkpIkV1dXValSRadPn9bMmTPtXD2AtITsfjyyG/FBdgNIKWT345HdiA+y2/HQ8Q6H9Mcff2jdunUaMmSIpk6dqmPHjkmSatWqpcKFC2vv3r0qXry4OnbsKEnKlSuXXn/9dX3++ecqVqyYPUtPdpFH0iM5OTnZdgIWL16sX375RWPHjrXtBDg5OenWrVvasWOHKleuLHd3d3uUDTuaO3euunTpIovFor59+6pbt24KCgpSs2bNNGvWLElSlixZFBwcrLlz52rWrFlq3ry5Dhw4oEKFCtnOYAGAuJDdsSO7kVBkN4CUQHbHjuxGQpHdDsoOt7cBktXSpUtN9erVTdmyZU2xYsWMi4uLKVq0qPn0009tbT7//HPj6elpzp07Z4KDg82LL75oBg4caJvvqPdOu3z5sjEm+j3DIkVOO3DggClSpIhp2bKl+emnn4wxxvzvf/8zVatWtd1zj3uFpR/Tpk0zrq6uZunSpSY4ONg2/bfffjOdOnUyFovFLF++3BhjzPHjx02xYsVM5cqVzfPPP28bIInPC4DHIbtjR3YjochuACmB7I4d2Y2EIrsdFx3vcCjTp083WbJkMVOnTjWnTp0yVqvVnDp1ytSvX98ULFjQDBs2zBhjbNM8PDxMqVKlTMmSJR0+3D755BNjsVjMH3/8YYx5/E5A0aJFTevWrU3VqlVNsWLFbBtzR905wqNWrlxpLBaL2bNnjzHm4ecj6vfj5MmTpkmTJqZIkSLm3LlzxhhjgoODzfXr123tHHWAJABJh+yOHdmNhCK7AaQEsjt2ZDcSiux2bHS8w2HMnTvXODk5mfXr1z8y79KlS+Z///ufyZ8/v9m5c6cxxphff/3VzJo1y3z11Ve2jZQjh9vZs2dNkyZNTK5cucypU6eMMXHvBBw8eNBkzZrVlC9f3hb+bMzTj6CgIDN48GBjsVjMihUrbNP/+5mZP3++yZgxozl27Ngjy4jp8wUAUZHdcSO7kRBkN4CUQHbHjexGQpDdjo+OdziEw4cPGzc3N9OhQwfbtMiNT+S/V65cMVmzZjU9evSIcRmOHP6RLl++bF5++WWTK1cuc+bMGWNM3DsBp0+ftr0uhH/689dff5nBgwebLFmymLlz59qmW61W22fk77//Nk5OTmbr1q12qhJAWkV2xw/ZjYQguwEkJ7I7fshuJATZ7dgYXBUOoUSJEmrVqpXOnz+vSZMmKTQ01DZ4iZOTk0JDQ+Xr66tXX31Vv//+u/755x+Fh4dHW4ajjqJutVptv2/btk01a9ZUQECAGjVqpD///NP2OkXl5OQkY4yefvpp2wAdLi4uKV067Cx//vzq1auXunfvrj59+mjevHmSJIvFYmuzc+dOVatWTeXKlbNTlQDSKrI7dmQ3EovsBpCcyO7Ykd1ILLLbsdHxjjQvIiJCmTNn1owZM1SoUCF9/fXXmjZtWrSdADc3N0nShQsXVLhwYWXMmDHdBJqT08Ov+aBBgzRkyBC5uLioZ8+eypgxo+rUqRPrTkDUjbyj7hwhuv9+BiQpT5486tOnzyM7AU5OTrp3756+/vprlS9fXtmzZ0/hagGkZWR33MhuxBfZDSClkN1xI7sRX2R3+pI+toBwaM7OzrJarcqcObP8/f3Vs2dPLV26VJLUrVs3W/ifPXtWYWFhqlu3rh2rtY8zZ85o2bJl+vLLL/XSSy9Jko4fP64+ffqobt262r17t55++mnbmQpIX1auXKkGDRrIy8tLxphoO3/SvzsBktSnTx+5uLioXbt2evXVV3X58mWtWrVKFoslxucCQEzI7scjuxEXshtASiO7H4/sRlzI7vSJbzocQuSR48idgOLFi2vp0qWaOnWqjDGSHm64IiIi1K5dOztXm/IePHiga9euKW/evLZpJUqU0KhRoxQSEqIXXnhBJ0+eJPzToTlz5qh///6aOnWq7t69awvy/4rcCejRo4f69OmjfPny6cyZMzp06JBcXFwUERFB+ANIELI7bmQ3YkN2A7AXsjtuZDdiQ3anXxYT0zsNpFKtWrVSuXLl9NFHH8U4PyIiQs7OzgoKClLPnj31559/6rXXXtPatWt14cIF/frrr3J1dbW1c0SxHf2sVq2aqlWrpokTJ9ou93vw4IEaN26sgwcPqmHDhlq3bl1Klws7s1qtevfdd7Vnzx699NJL6tWrl7JmzRrr5+jSpUsaPXq0jh07po0bN8rV1VXh4eHp5hJSAAlHdj8e2Y2EILsBJDey+/HIbiQE2Z1+cZgNaUqlSpU0YsQITZw4Mcb5kQOSRD0C379/f125csUW/uHh4Q4b/lar1bbRvnbtmq5du2ab3rx5c/3000+aPHmyrX1ERIRy5Mihbdu2ac2aNXapGfYTEhIiJycnTZgwQTVq1NCGDRs0ZcoU3b9/P84j8B988IG2bt1K+AOIF7I7bmQ3EoLsBpASyO64kd1ICLI7feNdQ5oRERGh999/X1myZNE777wji8Winj17PrLxiXrvucmTJ6tkyZLq16+fXFxcHH5jFXnJ2tChQ7Vp0yZdunRJ3bp1U79+/Ww7QosWLdL69etVr149ff/99woPD1eNGjWijUYPx2eMkbu7uyRp4cKFypAhg06cOKFTp07JyclJPXr0UJYsWWI8Au/j42NbhiN/nwA8ObL78chuxBfZDSAlkN2PR3YjvshucKsZpAlRL1E7e/asRo0apXnz5mny5Mnq1q1bjJfm/PeyNkcO/6jBPWPGDA0fPlxDhw7V9evX9dlnn+nVV1/V2LFjlSVLFq1evVrLli3TvXv3lDNnTs2fP1+urq6Efzr18ccfa9KkSZo8ebIyZsyoefPm6dy5c2rbtq169+4d604AADwO2R03shuJRXYDSC5kd9zIbiQW2Z1+0fGONGXgwIHasGGDypUrp8OHD+v06dMaN26c+vXrZ+/SUoVDhw5pw4YNKlWqlFq1aiVJ2rJli9q0aaP//e9/+vTTT20Dvfzzzz/KmDGjJMfeOULMjDG6fv26GjZsqB49eujtt9+2zXv77be1YcMG9erVS927d2cnAMATIbvjRnYjvshuACmF7I4b2Y34IrvBNx5pxpo1azR16lRt3bpVlStX1t27dzVt2jS99957slgs6tOnT7o9cmyM0bFjx1S9enVJD4++R3r++ee1bNkyvfrqq3J1dVW/fv1UunRpW/hz2VL6ZLFY5OHhIRcXF92/f1/SvzuC06dPV5UqVTRjxgzdvHlTH374oTJnzmznigGkRWR37MhuJBTZDSAlkN2xI7uRUGQ30ufWEmnSrVu3VKRIEVWsWFEuLi7y9vbW+++/r8GDB2vAgAGaM2eOIiIi7F2mXVgsFpUpU0YrV66UJO3Zs0dXr161zW/YsKGWL1+uOXPmPDKYC0dT0wer1frINFdXV2XPnl3r16+X1WqVi4uL7TtUunRpSVJQUJAyZcqUorUCcBxkd+zIbjwO2Q3AHsju2JHdeByyG/9FxzvSDE9PT/3++++6ePGiJNk2VE2bNpXVatVbb72lb775xp4lppiYNuaS9PLLL2vRokVasGCBxo8frxs3btjmNWjQQAcPHtSAAQNSqkykElHvI/jTTz/p9OnTunDhglxcXOTv76+jR4+qXbt2CgoKso2oHhISonHjxmnSpEmxjrQOAI9Ddv+L7EZCkN0A7IXs/hfZjYQguxET7vGOVCfqxiosLEyurq6SpDt37qhVq1bKkCGDJkyYoCJFikiSTp06pa+++krPPvusWrZs6fCXb0V9fVasWKGAgACFhYWpffv2euqpp+Ts7KxFixapQ4cOGjhwoAYMGKBs2bJFWwb3lkufBg0apMWLF8tqtapUqVLq16+fmjVrph07duiVV15Rnjx55OPjo1u3bunu3bs6fvy4nJ2dGQAIwGOR3XEju5FYZDeA5EJ2x43sRmKR3YiKjnekKlEHkvD399fPP/8sLy8vde3aVSVKlNB3332nyZMnKzg4WB9++KEyZMig0aNHy8nJSd9//72k9BNugwcP1rx581ShQgX98ssvKlmypN577z01atRILi4uWrRokTp16qQ333xTo0ePlqenp71LRgqL+n368ccf1a5dOy1YsEDnz5/X9u3btX37dn311Vd64YUXdP36dU2YMEFBQUFyc3PTZ599ZrsEztnZ2c5rAiA1I7vjj+zG45DdAFIC2R1/ZDceh+xGnAyQSlitVtvvI0eONJkzZzZvvPGGyZYtm6lRo4ZZtWqVMcaYLVu2mNatWxtnZ2dTvHhxU6NGDRMaGvrIMhzZpEmTTL58+cyRI0eMMcasXLnSWCwWU6tWLbN27VoTFhZmjDFm+vTp5plnnkk3rwtiNnfuXNO3b18zcuRI27Tff//ddO3a1eTLl8+sXLnSGPPo9yfycwQAsSG744/sRkKQ3QCSC9kdf2Q3EoLsRkzoeEeqc/z4cfPaa6+ZPXv2GGOMuX//vmncuLGpWbOmbUNljDEnTpww58+fNxEREcaY9LOxunPnjhk4cKCZMWOGMcaYFStWGC8vLzN27FhTrlw5U65cOfPdd9/ZdooisROQPv3111+mSZMmJkuWLGbAgAHR5v3+++/mrbfeMgULFjRLly61U4UAHAHZHTeyGwlBdgNICWR33MhuJATZjdjQ8Y5UZcaMGaZ8+fKmSpUq5vz587bp165dM02aNDHPPPOMWbp0qQkPD4/2vMidgPQgIiLC7N2711y9etX8/vvvpmjRombixInGGGM2bdpkXF1dTbly5czu3buNMQQ/jNmxY4dp3ry5yZ49u/nhhx+izTt27Jh55ZVXzMsvv2yn6gCkdWT345HdSCiyG0ByIrsfj+xGQpHdiAl37UeqUr9+fbm4uOj48eM6cOCAbXr27Nm1cOFCeXt76+OPP9aOHTuiPS89DUDh5OSk6tWrK0eOHDp06JCyZ8+uNm3aSHo4EM6rr76qZ555Rs8884wk2e41BsdntVpjnF63bl29++67ql27tnr37q29e/fa5pUqVUpjxozRihUrUqpMAA6G7H48shuxIbsB2APZ/XhkN2JDdiMh0s9WE6lOTBurp59+Wt9++62KFy+u6dOnRwv6bNmyac6cOfrf//6nevXqpWSpqU7kDs+1a9d069YtXbp0Sbdu3dLChQtVtmxZTZ06Vc7OzoqIiLBzpUgpUUdAnz17trp27aqePXtqzpw5kqQ6deqoV69eevrpp9WrVy/t27fP9tyCBQvKyckp1h0IAIhEdice2Y3/IrsBpASyO/HIbvwX2Y2EshhjjL2LQPoTdWN1/Phx3b59W6VLl5abm5syZsyos2fPqkWLFsqRI4fef//9GAPfkUd9jvr6xOXKlSuqWbOmIr/GTz31lA4dOiRXV9fkLhGp1KBBg7Rw4UK9+OKLslqt2rBhgzp37qzhw4dLknbs2KFp06Zpz5492rhxo8qWLWvnigGkFWR33MhuJBbZDSC5kN1xI7uRWGQ34svF3gUg/THG2MLtgw8+0PLly3X79m35+vqqc+fOatOmjQoXLqyVK1eqVatWGj16tEJCQtS4ceNoy0kP4b9+/Xp5e3urRo0aj7SLiIhQrly5tH//fm3atEkWi0Wvv/66XFxcFB4eLhcXvt7pzfz587Vy5UqtWrVK1atX19KlSzV//nyNGTNGt2/f1qRJk1SvXj2FhISoaNGiKlWqlL1LBpBGkN1xI7uRWGQ3gORCdseN7EZikd1IEPvdXh7p3SeffGJy5cplNm7caIwx5uWXXzb58uUzQ4YMMX///bcxxpgzZ86YXLlymb59+9qz1BQTdUCWgQMHmhIlSpipU6eaGzdu2OZFbfPfwW5imwbHFxERYUaNGmU+/fRTY4wxa9asMV5eXuaLL74wo0aNMhaLxXz00UePPI/PC4CEILsfRXYjschuACmB7H4U2Y3EIruRUHS8wy5OnDhhateubb777jtjzMNRwbNkyWL8/PxMvnz5zPvvv28uXbpkjDHm0qVL6W4jNXLkSJMjRw7zww8/xLjujJiOmPzzzz/mzJkz5tKlS6ZMmTJm7NixxhhjDh8+bLy8vIzFYrFNA4CEIrvjRnYjMchuAMmJ7I4b2Y3EILuREAyuCrvInTu33nnnHdWvX1979uxRhw4dNHbsWG3cuFHlypXTwoULNXLkSF29elW5c+dONwOWGGMUEBCg9evXa/Lkyfo/9u47rKmzceP4HRKGgIIDQRQcuBcqjroXCrhrrXsPilatrQute4t71o171K11Kyq4VxG31oWo4ED2DHl+f/jjvESGoCFh3J/r8nrh5CQ8SZN8856Tc54GDRrg7du38PLywi+//IJZs2YB+DxjuuD0DJSEEAJGRkYoVaoUHj16BKVSie7duwMADAwM0Lp1a/zzzz/4/fffdTxSIsqu2O6Usd30rdhuIspsbHfK2G76Vmw3ZRRPRkU6kS9fPjg5OcHU1FSakGLAgAEAAFtbW7x48QIAYGFhIV0nN5xbTiaTwcLCAnp6ejh//jzMzc2xbt06BAQEwMzMDJs2bUJoaCjmzp0LmUym45FTVpL0+WBmZoY3b95g+/bt6Nq1K8aOHQtzc3O4uLhAJpPl6AmSiCjzsN3/w3aTJrDdRJTZ2O7/YbtJE9huyih+4510xtTUFAAQHByMyMhIxMfHS797eHhgxYoVOX4Pc9L4Hzx4ECdPnoRcLoezszPu3LmDdu3awc7ODnPmzMGJEycwcOBABAcH63jUpCsqlSpd69nZ2WH48OGYNm0aGjZsiKCgIGzatEl6PTH+RPSt2G62mzKG7SYiXWO72W7KGLabNEkmcvK7K+mUEEJtb2DS2CU1fvx4HDp0CHZ2dggMDERYWBju3r0LuVye6nVygqSPz5gxY7B//3788ssv+PXXXyGTyaQPRmXKlJGu07hxY9StWxdz5szR1bBJR5K+FtatW4ciRYqgefPmMDIySnH90NBQvHnzBq9fv0bTpk0hl8uhVCqhUPBAJyJKHdudNrabMoLtJiJtYLvTxnZTRrDdpGnc8E6ZIumb1Z07d1ClSpVk6yQN4OTJkxEYGAgAWLFiBRQKRa45LGf58uWYNm0aDh06hJo1ayZ7g46MjMSDBw/w559/IjAwEDdv3uSbeC6T9LUyduxYbN68GePGjUOvXr2QP3/+dN1Gbnk9EdG3Y7vTj+2mr2G7iUgb2O70Y7vpa9huygzc8E4alzT+U6ZMgZeXF0aMGIGOHTsmWze1N6Wcuofw3r17qFSpEoDPb+pKpRI9e/ZE+fLlMXXqVOmNPuljuGfPHuzcuRORkZE4dOgQ9PX1+WaeSy1atAizZ8/GqVOnYG9vD+Dz600mk0kfEL78xgsRUXqw3alju+l7sN1ElFnY7tSx3fQ92G7SpJz3Dks6lxgud3d3rF+/Htu3b5ei96XUIpYT4//7778jLi4OK1askN6kZTIZAgICYGtrC+B/E3Xo6ekhNjYWT548QceOHWFra4uaNWtCT08vx344orQlJCTAz88PQ4YMgb29PZ49e4abN29i2bJlqFy5Mlq3bo3WrVsz/kT0TdjulLHd9D3YbiLKTGx3ythu+h5sN2ka30UoU1y9ehUHDhzAP//8gzp16iAyMhL+/v44f/48nJ2dYWFhkev2EHbo0AH16tUDALx58wZFixaVZlO/ePEi4uLiYGBgIK3/5s0bLFiwAGPHjkXt2rUBfN7LyvjnDkm/fSGEgJ6eHl6/fo379++jePHi2LZtG+RyOWxtbXHr1i0EBwfD0dERhoaGOh45EWVXbHdybDdlBNtNRNrGdifHdlNGsN2U2XLm7BmkdV/O+hwXF4fg4GAUKlQI9+/fx6RJk9C8eXP88ccfqF27Nj5+/Jhr4p94NqfGjRtDX18fW7duxc8//4wLFy5ALpdj3rx5ePToEXr37o2PHz8iMjISnz59wq+//oqAgACULVtWuq2cOuENqUsa/1WrVmHr1q2QyWRYv349VCoVZs6ciSZNmmD69OnYunUr+vTpg3fv3oFnDiOijGC7U8d2U0ax3USkDWx36thuyii2m7SBu/DouyV9s7p58yaqVauG8uXLw97eHs2bN0doaCi6dOmCKVOmoF27drCzs8O+ffswaNAgHY9c+2JiYlCkSBHkyZMHc+fOhUwmQ/369bF371506dIF9evXh0KhgImJCWJjY3H9+nXo6enl6FnmKbnE/9ajR4/G1q1bMXbsWAQGBsLGxgaXLl1CSEgILCwsAHw+L+OhQ4dgY2PDve5ElG5sd/qx3ZQebDcRZTa2O/3YbkoPtpu0gRve6bskHooDABMnTsSJEyfg5uaG/v37Y8GCBbh16xaKFi2KBg0aIE+ePAgPD0epUqVgaWmp45Frx+HDh1GsWDFUr14do0aNwsePH+Hp6YmoqCgsX74cM2bMwJQpU9CkSRM8efIEmzZtQlRUFAoWLIh+/fpBLpfz3HK51NatW7FlyxYcP34c1apVA/D5w7a+vj4sLCwQERGBI0eOYMuWLQgICMChQ4cgk8ly3aGkRJRxbHfa2G76Vmw3EWUWtjttbDd9K7abMptM8BgJ+gZfvslMmTIFy5cvx969e1G6dGkULVpUbf3Y2FgEBgZi6NChCAwMxJUrV3L87OBxcXFwdnaGn58fnJ2dcejQIfj4+EizYh8+fBjLly+HXC7H+PHj0aBBg2S3wVnUc4fLly+jbt26assmTZqEhw8fYteuXUhISIBCoZBed0IIvHjxAtOnT0dYWBh27twJhULBD4tElCa2++vYbkovtpuItIHt/jq2m9KL7SZd4IZ3+m7+/v74+eefMXr0aHTq1ElanniYVnx8PLZt24Zt27YhMjIS58+fh76+fq6Jm6WlJcLCwrBx40Z06dJF7X4fPnwYK1euhFwux+jRo9G4cWMdj5a0bc6cOTh48CAuXbqk9qG6U6dOCAoKgo+PD4D/vZ6USiVu376NcuXKITo6GoUKFYJMJss1ryci0gy2O21sN6WF7SYiXWC708Z2U1rYbtIVnryKMqRbt27YvHmz2rLo6Gg8ePAAefPmVVuup6eH2NhY6Ovro0qVKujWrRt8fHygr68PpVKZY9+skk54ExERAQsLC1SuXBmjR4/GjRs3IJfLpck42rZti19//RVv3rzBoUOHdDVk0iF3d3f4+PhAJpPhv//+k5b/9NNPePv2LXbs2AHgf+efCwwMxKRJk3Dt2jVYWFhAJpNBpVLl2NcTEX0/tvvr2G7KCLabiDIb2/11bDdlBNtNusIN75RugYGB+OGHH9CtW7dkl1lZWeHt27dS2BL/9/Tp01i0aBEcHBzQv39/yOVy6fCdnCjpZCynT59GREQE7t69i+vXr6NixYr48ccfcfPmTbU9rM7Ozti8eTPmzZunq2GTjiiVSgCAQqHA0aNHUbZsWRw5cgQAUKdOHZQrVw6bNm3CmjVrEB8fjwcPHmDIkCH4+PGj2rc0OAEQEaWG7f46tpsygu0moszGdn8d200ZwXaTTgmib7BixQoxbdo06ffOnTsLa2trceXKFWlZVFSUaNu2rejbt69QqVS6GKZWJb2PY8eOFRUrVhQbN24UHz58EEIIERkZKVq0aCFsbW3FpUuXREhIiOjYsaMYPny4dD2lUqn1cZNuxMXFST+/fPlSJCQkiP79+wszMzPxzz//CCGE8PPzE3369BFFixYVZmZmokKFCqJOnTrSdfl8IaKMYLuTY7spI9huItI2tjs5tpsygu0mXeM53ildku5RVqlUGDZsGI4fPw43NzeMHj0aANCyZUv4+vqiU6dOMDExwbVr1/Dx40f4+vqqTVCR002bNg0rVqzArl27ULduXRgaGkqXKZVKtG7dGufPn0fZsmURHx8PPz8/6Ovr63DEpG2nT5/GP//8g8WLF+PXX3/Fo0eP8M8//8DIyAiDBg3C9u3bsWvXLrRp0wafPn1CeHg4Ll68iGLFiqFevXqQy+Wc0IWIvortTj+2m76G7SYibWC704/tpq9huykr4IZ3+qr79+/D1tYWpqammDhxItq2bQtra2usXLkS+/btw4ABA6QPARMmTMDjx48RGhqK8uXLY8GCBTl61ud169ahf//+0oejV69eoX379hg/fjw6deqEwMBAPHv2DP/88w+KFCmCYcOGAQA8PT2hp6eHHj165OjHh5JTKpWYPHkyTp48CYVCgUePHuHy5csoV66ctE7ih4Ddu3ejVatWyW6DE7oQ0dew3aljuymj2G4i0ga2O3VsN2UU201Zhg6/bU9ZXEJCgnj48KGQyWRi0aJFYsiQIcLY2Fjcu3dPCCHEixcvxNixY0W5cuXEnDlzpOvFxcWpHYoTHx+v9bFrw9GjR0W1atVEQkKCtOzTp0/ihx9+ENOnTxfHjx8X3bt3FzVr1hR16tQRpqamYvLkycluh4ct5U7NmjUTMplM9OnTR1qW9LkwaNAgYWZmJvbt26eD0RFRdsV2p43tpu/BdhNRZmC708Z20/dgu0nX+I13+qr169fj119/hVwux8mTJ1G/fn3p8LWXL1/ir7/+wsGDBzFw4ECMHDlS7boihx/mlngo4Pnz59GwYUMkJCRg2LBhuH37Nq5du4Y//vgDzs7OaNy4MXr37g1bW1vMmTNH18MmHUh62Gh0dDSmTJmC8PBw+Pn5oU6dOpg1axYMDQ0RHx8vHQLZpUsXfPz4EadPn9bl0IkoG2K7U8d2U3qx3USkTWx36thuSi+2m7IaHmNDKUrcHyOTyVCkSBHEx8cjLi4O165dQ8WKFZE/f34AQPHixeHm5gY9PT1Mnz4dRYsWRdeuXaXbyYnxF0JApVJBLpdDT08Pd+/eRdOmTeHu7o5Zs2ZhyZIlePbsGZRKJapUqSJdLyAgAGXLltXhyElXksbf09MTVapUwdy5c6FSqTBlyhScPHkS48ePlz4EAMCTJ0+wY8cOXQ6biLIZtjt1bDdlFNtNRNrAdqeO7aaMYrspS9LF1+wpa0t6CNeLFy+kn1etWiVkMpmYNWuW+PTpk9p1Pn78KFasWJErDt9Ket+vX78uhBBi48aNwtDQUIwfP15t3fDwcHH37l3h5OQk7O3tc+zhf5Q6lUol/Tx27FhRpEgRMWvWLPHhwwchhBCRkZFi4sSJom7duuLXX38Vr1+/Fs2bNxc///yzdL2kr0kiopSw3Wljuykj2G4i0ga2O21sN2UE201ZFTe8k5qkbzRTpkwRLi4u4siRI9KyJUuWCJlMJjw8PERwcLAQQogePXqIGzduSOvk5A8BXl5eok2bNuLdu3di+PDhokSJEuLjx49CCCE2b94s5HK5mDhxohR6T09P4ezsLFq0aCHi4uKEEDn78aHUeXh4iEKFColbt25Jr7PE50JMTIzw8PAQVapUEdbW1qJ27doiNjZWl8MlomyE7U4b203fiu0moszCdqeN7aZvxXZTVsMN7yT5cg9hoUKFxJEjR8Tbt2/V1lu4cKFQKBSiW7duok6dOqJUqVJS3HK6zZs3i8aNG4vy5cuLAgUKiKdPnwoh/vfYJX4ImDRpkhDi8xv7qVOnpDd87nnPHUaMGCFu3rwp/R4ZGSk6d+4slixZIoQQ4tmzZ+LAgQOiRYsWYuTIkeLu3btCqVSKR48eidOnT0sfDPh8IaKvYbu/ju2m9GC7iUhb2O6vY7spPdhuyg54jnfCs2fPUKpUKem8cGfPnsXu3btx4sQJ1KhRA7GxsXj79i0uX74MZ2dn/P777zAzM8PFixdRrVo1LFu2DPr6+khISIBcLtfxvclcvXr1wpkzZ+Dt7Y1mzZpBofjfS0gIgV69egEABg4ciODgYCxbtgyOjo4APp9vLOn6lDNdvXoVcXFxqFq1qrTM0NAQ/v7++PDhA0qVKoXly5cjNjYWlpaW+PvvvxESEoJ169ahbNmy0vkIExIS+HwholSx3enHdtPXsN1EpA1sd/qx3fQ1bDdlFzIh/n82D8qVfvrpJ5iYmGDz5s3SsjNnzmDgwIHw8fFBREQENm3ahF27diEyMhKmpqZ4+PAh9PX1ERsbK01IoVQqc/ybVXx8PABgw4YNCA8Px4kTJ5A3b17MnDkTFSpUUPsAtHbtWmzZsgXnz5/PkRPdUNqEEJDJZNi+fTssLCzQokULXL9+HX369EFwcDB++eUXtGzZEvXr18eCBQtw+vRpHDhwQHo9ERGlhe1OP7ab0ovtJqLMxHanH9tN6cV2U3bADe+5XFhYGIyMjGBgYIB3796hcOHCuH37NgYPHoyoqCgEBASgQ4cOqFevHurXr4/69etj2bJl6Natm66HrhVJZ8X+0saNG7Fp0ybkz58fs2bNQvny5QEAXl5eaNasmbReYgwo50v6QTgwMBDt27eHqakppk6digYNGkCpVCIoKAhFixYF8Pn55ezsjFKlSmHVqlW6HDoRZSNsd9rYbsoItpuItIHtThvbTRnBdlN2wg3vuVhcXBwMDAwAAMuXL8eyZcuwf/9+VKxYEd7e3vD19UWpUqXQsGFDmJmZ4cOHD3B2dsacOXOkw7hysqTx37FjB27fvg1zc3NUr14dTk5OAIBNmzZhy5YtMDQ0xPDhw7Fo0SJ8/PgR165dY/Rzmffv38PCwgIAsH79enTu3BmXL1/GsmXLEBcXB3d3dzRt2hTA5w/e3t7e+Ouvv/Dq1SvcvHkT+vr6/LBIRF/FdqeN7aaMYLuJSBvY7rSx3ZQRbDdlN9zwTggPD0dCQgKqVKmCYsWKYcOGDahQoYJ0eXx8PN6/f49ffvkFHz58wIULF3L8OeWSvhGPHTsWW7ZsQb169RAWFobg4GAMGjQIv/zyC4DPHw62bNmCu3fvws7ODidPnoS+vr4uh09a5uPjgzZt2uDGjRtYuXIltmzZglu3bsHW1hbHjx/H0qVLkZCQgD///BONGjXCrVu3sGTJEoSGhmLPnj1QKBS54rBRItIctjs5tpsygu0mIm1ju5Njuykj2G7KlrQ4kStlEUePHhWenp5CCCF+++03MXjwYCGEEMHBwaJEiRKiTp06ws/PTwjxeXbnlStXipYtW4ratWtLs6gnzv6c061cuVKULFlSXLlyRQghxJo1a4SBgYEoUaKEWLBggbTe27dvxaNHjziLei6lVCrFjz/+KAoWLCjy5s0r7ty5o3b5sWPHhIuLi3BychKXLl0SQgjx4sULPl+IKN3Y7vRjuyk92G4iymxsd/qx3ZQebDdlRymfRItyrNDQUBw4cADTp09H27ZtsXbtWri5uQEA8ufPj1u3biEoKAiurq64e/cuFAoF7Ozs0LZtW1y6dAn6+vpQKpU5ds+7SqWSfo6Li8Pjx4/h6uqKOnXq4NChQxgzZgwmTJiApk2bwsPDA6tXrwYAWFlZoWzZstDT0+Ms6rmQXC5H1apVERwcnOJELc7Ozhg+fDgUCgWGDh2K27dvo3jx4ny+EFG6sN1pY7vpW7DdRJSZ2O60sd30LdhuypZ0veWftM/f319UrlxZyGQyMWPGDGl5TEyMEOLzHviSJUuKunXrSnvgE+XkPe4fPnyQfk7c0x4cHCyePn0qnj59KsqWLSsWLlwohPi8J9XY2FgYGxuLrVu36mS8pFsqlUrt98DAQPHvv/+KTp06CUtLS+k5lPQ1c/r0aTFixAhpjzsRUXqx3Sljuykj2G4i0ia2O2VsN2UE203ZHb/xnouI/z+dv56eHuzt7dGpUyds374dGzduBAAYGhoiJiYG+fPnx82bN3H79m0sWbJE7TZy6h73U6dOYdiwYXj58iV+++03ODk54cOHD8ifPz9KlSqFGzduwMTEBH369AHw+bFycXHBihUr0LVrVx2PnrRNpVKpTcYSFRUFS0tLVKtWDVu2bEHt2rXRvn173LhxQ3rNzJw5EzVr1sSiRYukPe5ERF/DdqeO7aaMYLuJSFvY7tSx3ZQRbDflBDzOIhdInCU88Q2raNGi2Lp1Kx4/fozFixdjzpw5AIC+ffvCyMgICQkJMDU1xfv371M8fCcnev/+PR48eIA2bdrg7du3uHbtGgoVKiQ9dkZGRnj79i1OnToFFxcXLFiwAHZ2dujTpw9kMhkSEhJy7IcjUpf4nACAZcuW4cqVKwgICEC/fv3QtWtXGBkZYe/evejUqROcnJwwadIkHDhwAO/evYO7u7t0O4m3QUSUErb769huSi+2m4i0ge3+Orab0ovtppyCz8AcLumb1aVLl3D8+HFcvHgRAFC2bFm4ubmhefPmmDdvHtatWwcAaNeuHSZNmgRjY2PI5XIkJCTobPyZ7dOnTwCA7t27w97eHvfu3UO9evWkyxMfu0qVKsHR0RFDhgxB1apV8erVK8yfPx8ymQxCCMY/F0l8TowbNw6zZ8+GlZUVWrRogf79+2Pu3Ll4+/Yt9PX1cfDgQbRv3x5///038uXLB19fX8jlcu5xJ6KvYrvTxnZTRrHdRJTZ2O60sd2UUWw35RQykXgcFOU4Qghpb/v48eOxb98+hIeHo3jx4ihVqhS2bt0KAPDz84OnpyfWr1+PokWLQgiBO3fuQF9fX5fDz3T//PMPjh8/jnr16qF79+5Yvnw5EhISsGPHDpQtWxYjRoxAjRo1pMfx2bNnePnyJQIDA9G5c2fI5XIolUpO0JEL7dy5E+PHj8euXbtQq1YtXLlyBfXq1YNMJsOvv/4Kd3d3WFtbAwCCgoJQuHBhyGQyPl+I6KvY7rSx3fSt2G4iyixsd9rYbvpWbDflCFo/qzxp3ezZs4WlpaW4cOGCiImJEe7u7kImk4nWrVtL67x69UqcO3dOrFq1SpqUIj4+XldDznTr168XhQsXFn/++ac4f/682mXbt28XNWvWFL169RL//vuvtNzLy0ttvZw84Q2p+/K/9bZt28TKlSuFEEIcPnxYmJmZiZ07d4pdu3YJuVwuJkyYIF68eKF2nS8nhSEiSgvbnRzbTRnBdhORtrHdybHdlBFsN+VE3PCeAyWdufnJkyfC0dFRHDlyRAjxeVZwU1NTMXjwYGFjYyPat2+f4m3k5Ljt3r1bmJqail27dono6OgU19m+fbuoVauW6Ny5s9i9e7dwcXERpUuX5pt4LhQUFCT9vHHjRvHff/+JwMBA4e/vL96+fSscHBzE/PnzhRBCvHz5UlhYWAiZTCYWLVqkoxETUXbEdqeN7aaMYLuJSBvY7rSx3ZQRbDflVDz2IgdKPBdWaGgoSpcujZ49e8LBwQGXLl3CwIEDsWDBAri6ukIIgdWrV6NevXq4dOmS2m3kxHOnCSEQGRmJHTt2YNKkSejcubN0WUBAAPz8/PDmzRt07twZ3bp1g6GhIVatWoUJEyagSJEiuH//vnRuuaQza1POlXgo2/3797F+/Xps27YNly9fhqWlJQDg7t27iI6OVjs/4YABA9CsWTM0bdpUV8MmomyI7U4Z200ZxXYTkbaw3Sljuymj2G7KybjhPQc5c+YMHj9+jMGDB2Po0KFQKpVYtWoV+vTpAwBYunQpHB0d0bt3bwBAqVKl0L59exQoUCBXzA4uk8lgaGiIFy9ewN7eXlq+cOFCnDt3DidOnEDevHkxe/ZsnD17Fh07dkTt2rURFxeHEiVKQE9Pj+cKy2XKlCmDPn36oFatWpDL5fD19UXx4sWly+Pj4/H48WNcvHgR8fHxmDt3LuLj4zF79mwA4POFiL6K7U4b200ZxXYTUWZju9PGdlNGsd2Uk/GZmQMIIRAeHo6NGzfi8ePHOHToEC5cuIArV66orffff//hxYsXMDIyQnx8PK5cuYKmTZti+PDhANRnYs+pYmJiULx4cdy4cQNLlizByZMn8ezZM/z4448YP348SpYsiaZNm2LMmDHYuXMnihUrJl1XpVLxzTyXCAwMhKWlJQoWLIgKFSogMjISefLkQWhoKIDPzwWZTIbq1atj/vz5+OOPP1CyZEkUKlQIPj4+0u3w+UJEqWG704/tpvRgu4kos7Hd6cd2U3qw3ZQbyIQQQteDoO+TGO7Xr1+jVatWuHPnDiZMmIBp06YB+N/ev0OHDmHkyJHImzcv5HI5oqKicPv2bSgUilx1GNeNGzfg7u6OkJAQmJiYYN68eShXrhzMzMygVCrRo0cPmJqaYv369boeKunA3r17sXLlSvTo0QN9+/bF27dv8ebNG6xevRo7d+7EyZMnUa9ePcTFxcHAwADA50Mmw8LCUL58eX5Dg4jShe3OGLab0sJ2E5E2sN0Zw3ZTWthuyi34DM3mLly4gDt37qBbt24wMDBAlSpVULJkSZw9exZ//fUXBg8eLL0RNWnSBAsWLMCpU6dgbGyMmTNnQqFQ5IrD3RI/JAkhULNmTezfvx8ymQympqZq68XGxuL9+/eoWrWqjkZKurR+/XqMHj0aI0eOlA5zLFq0KIoWLQpbW1vExMSgZcuWOHPmDOrUqQMAmDt3Ljp27IiKFSsC4Dc0iOjr2O70YbspPdhuItIGtjt92G5KD7abchXtzuVKmrRp0yZhZ2cnXF1dxcWLF6Xl/v7+om/fvqJu3brir7/+UrvOhw8f1H6Pj4/Xylh14dy5c2Lw4MFprpM4W7pSqRQBAQHCxcVFODg45OjHhVJ25MgRYWFhIfbs2ZPqOmFhYaJbt27C0NBQLFiwQDRp0kRUrVpVKJVKLY6UiLIztjttbDdlBNtNRNrAdqeN7aaMYLspt+HuoWxq8+bN+PXXX7F8+XK0bt0ahQoVki6zsbHB2LFj4eHhga1btyI+Ph7Dhg1DixYtUL16dXh4eEjr5tQ9hEIIBAUFISAgAC9fvkTx4sVTPKxPJpMhODgYK1aswMWLFxEWFobLly/nmm8k0P+cPXsWHTp0QPv27aVld+7cwdWrV/HixQtUr14dP/30E7Zu3YoxY8Zg+/btKFGiBE6ePAm5XJ4rztVIRN+H7U4b200ZxXYTUWZju9PGdlNGsd2U2/Ac79nQixcv0LFjRwwfPhx9+/aVliuVSrx8+RLm5uYoWLAgXrx4gblz5+LYsWOQy+XIkycP/v33X+jr6+tu8FoUFBSE1q1bo1WrVtJ591Ly5MkTzJ8/H0WLFsX48eOhUCh4rrBcRqlUwsnJCcWKFcOmTZsAANOmTcP58+dx79495MmTB3K5HG5ubhg1ahQA4P379yhUqBBkMhmfL0T0VWx3+rDdlF5sNxFlNrY7fdhuSi+2m3Il3X3Znr7VzZs3RdGiRYWvr6+0bPPmzaJbt27CxMREWFlZiaVLlwohhAgICBDnz58Xnp6e0mE5ueFwrsRD2c6fPy9KlCghzp07l+Z6kZGR0jIevpQ7rV27VshkMjFw4EDh4OAgSpYsKebMmSNevXolhBCiS5cuokmTJmrPFSH+9xwiIkoL2/11bDdlFNtNRJmJ7f46tpsyiu2m3Ia7irIhAwMDFCpUCMePH4eVlRXGjh2Lu3fvonz58li/fj18fX0xcuRI1K1bFzVr1kTRokXRqFEjAEBCQkKu2EMok8kghICDgwPatWuH8+fPo0GDBpDJZGqHJSUeAmdsbAzg86FyPMwtd+rYsSNiYmJw/PhxVKxYEVOnToWVlRXy5MkDAKhatSpOnTqV7LC2Lw+jJCJKCdv9dWw3ZRTbTUSZie3+OrabMortptyGp5rJhmJjY/H777/j9OnTeP/+PQoXLgwPDw/Ur18fhQoVgkqlQtGiRTFx4kQMGTJE18PVuR07dsDd3R1nz55FqVKlUjznHOUuaZ0XLqVzDEZFRaFjx44oU6YMli1bpo0hElEOw3ZnDNtNX2K7iUjb2O6MYbvpS2w3ETe8ZwtJ36wSf46OjsZ///2HDx8+oHHjxmpvZk+ePEHnzp0xe/ZsODs762rYWUrfvn3x7t077NmzR9rLTrlPz549MXToUPzwww/pmpQlJiYGQUFBcHNzQ1BQEK5duwaFQsEPkUT0VWz392O7CWC7iUh72O7vx3YTwHYTJcWpgLMwLy8vAICenh5UKpXaz3ny5EGVKlXQtGlTtTexiIgIjBw5EgUKFECLFi10Mu6sJPFxGzx4MIyMjHDlyhW15ZR7hIaGIjAwEC4uLrh165ba6yolkZGRGD9+PHr16oXo6GhcvXoVCoUCCQkJjD8RpYrt/n5sNyViu4lIG9ju78d2UyK2m0gdN7xnUUuXLoWbmxs2btwIIPmHgC+FhITg77//RqdOneDv74/jx49DLpcjISFBm8PWqtTevJPe58THqkaNGlAoFFi9erXacso98uXLh+3bt6NFixZo0qTJVz8EhIeHo1atWujWrRvOnDkDfX19KJVKnouQiFLFdn8d200ZwXYTUWZju7+O7aaMYLuJ1PFUM1mUr68vFi1ahKdPn6Jfv34YMGAAgNTPkbVgwQJcunQJ+fPnx6pVq6BQKKBUKnPshC5JH4cLFy4gJiYGcXFxaNWqVarrBgYGwsHBAVOnTsXAgQO1PWTSoaSvhTt37mD48OF4/Pgxjh07hqpVq6b6ukp6aFtK56AjIkqK7U4b200ZwXYTkTaw3Wljuykj2G6i5LjhPQtKfLN6+vQp5s6di0ePHsHV1RU9evQAkPKHgNjYWLx8+RJlypSBTCbLNW9W7u7uOHDgABQKBWJjY2FjY4MdO3bA0tJSbb3Ex2zWrFkwNjaGq6srzzmXC02YMAEXLlwAAPj4+MDc3BynTp1CjRo10nXuOSKi1LDd6cd2U0aw3USUWdju9GO7KSPYbqL/4bM9i1GpVNIewgcPHkBPTw/379/H1KlTsW3bNgBIdpiOEAKGhoYoW7YsZDIZhBC5Iv5LlizBunXrsHXrVty9exe//fYbzp07h0ePHknrJO5XSnxj79KlCxo1asT450Lr16/H4sWLMXv2bOzatQs+Pj6oW7cumjVrlq5zzxERpYbtTj+2mzKC7SaizMJ2px/bTRnBdhOp44b3LCYxVGPHjsWgQYNQunRp/P777zAwMMDSpUvh6ekprZf4ZvXlhBO5ZQKKBw8eYMqUKahZsyb27t2LCRMmYNWqVWjUqBGioqIAJH8s7OzsUKNGDV0Ml3Ts6dOncHJyQt26dWFpaYl69eph+fLlqFGjBlq1aoW7d+9CT08PPAiIiDKK7U4/tpsygu0moszCdqcf200ZwXYTqeOG9yzoyZMn2L9/P1avXo1Ro0Zh/Pjx2L59O0qUKIElS5Zgx44dAJCr3qy+3COqUqlw69YtKJVKnD17Fn379sWcOXPg6uqKhIQEzJ8/H1u2bNHRaCkr0tPTw/Xr16XXjBACJUqUQLdu3fDu3TtUrVoVjx49yjUfoIlIs9ju5Nhu+l5sNxFlJrY7ObabvhfbTaSOG96zoLx58yIyMhJhYWHSsqpVq2LixIl48+YNZs2ahRUrVgDIPXvZE7+RkPiY6OnpoUuXLti/fz9at26NBQsWwM3NDcDnmeavXbuGoKAgnY2XdCe1w9Y6duwIc3NzTJs2DeHh4dJrp3jx4ujfvz+mT58OOzs7bQ6ViHIQtjs5tpvSi+0mIl1gu5Njuym92G6i9OGGdx1Lac+5SqWCtbU17t69i7i4OGmdypUro1atWlCpVHj8+HGu2Oue9M183759KFasGAICAgAAdevWxadPn2Bvbw97e3sAgL+/P3r37o0PHz5gxIgRuhgy6VDSiVp27NiBadOmYcqUKfDy8kKNGjXQoUMHnDx5EpMmTcKrV6/w7NkzLFu2DDKZDH/++ScUCgWUSqWO7wURZXVsd9rYbsoItpuItIHtThvbTRnBdhOln0zkhopkUUnfrPz9/REfH4+iRYvCyMgI27ZtQ69evbB06VL069cPJiYmiIqKQr9+/dCmTRv07NlTmtAlp+59//LN/NWrV3B3d0flypXxzz//wNbWFseOHcO4ceMQExOD+Ph4FCxYEDKZDBcuXIC+vn6umWWe1I0ZMwZbtmxBmzZt8ObNG9y/fx+//fYbhg4diunTp+P48eO4fv06SpcujTx58uDGjRvQ19fP0a8nItIMtjttbDd9K7abiDIL2502tpu+FdtN9HXc8K4jSd9opkyZgn379iEyMhJCCIwbNw4DBgzAsmXLMHLkSPz4448wNzfHw4cPER4erjYTdGIgc7IxY8Zg586d+P333/H06VOcPn0aUVFR8PHxQfHixXHv3j28fv0a9+/fR7ly5dCyZUvI5XIolUpppnrKPQ4dOoRhw4bh77//Rp06dbB161YMGjQIa9asQa9evaBSqRAfH48zZ87A1NQU9evX5/OFiNKF7U4/tpsygu0moszCdqcf200ZwXYTpZMgnZoxY4YoXLiwOHLkiFAqlaJ58+bCxsZG3Lt3TwghxMGDB4Wbm5to3bq1GDhwoIiLixNCCJGQkKDLYWvNgwcPRLFixcShQ4ekZX5+fqJ+/fqiePHiwt/fP8XrKZVKbQ2RspglS5YIFxcXIYQQu3fvFnnz5hV//fWXEEKI0NBQcfXq1WTX4fOFiDKC7U4b200ZxXYTUWZju9PGdlNGsd1E6cPdTDoUHh4OLy8vzJ8/H61atcLRo0dx48YNzJkzBxUrVoRSqUS7du3Qpk0btT3suWkPYUREBIKDg1GyZElpWaVKlTB//nw4OzujTZs2OHHiBKysrNQOb+NhbrlDSt8+USgUKF68OE6cOIF+/fph3rx50gRAJ0+exJ07d1C6dGkUKFBAug6fL0SUXmz317HdlBa2m4i0je3+Orab0sJ2E327nH+8VBYivjirT2RkJPz9/dGyZUucPXsWXbp0wZw5c+Dm5obo6GgsW7YMr169UnuDE0Lk2Ph/+fgAgL29PUqVKoXNmzdLl+vp6aFy5cqoXLky3rx5g/r16yMyMpJv4rlM0vgfPHgQT58+BQBUq1YNq1evhouLC5YvXy7FPyoqCmvXrsX79++RP39+nY2biLIXtjttbDdlBNtNRNrAdqeN7aaMYLuJvg83vGuJSqWSzi0XGBgIALCyskKZMmXQtWtXtGvXDkuWLJHerD5+/Ih9+/bh0qVLareTUyegSPr4fPz4Ea9fv0ZMTAz09fXRqVMn+Pj4YMWKFWrXsba2xsaNG2Fqaoq5c+fqYtikI0IIKf7u7u4YNmwYDh48iIiICNSrVw+rVq2CXC7Hx48fce3aNVy9ehU//vgjgoKCsHTpUmmCJCKitLDdaWO7KSPYbiLSBrY7bWw3ZQTbTfT9cuYu3Cwm6R7COXPm4MGDB+jXrx+aNGmCbt26Ydq0aahXrx769+8P4PNhXr/88osUv5wu6Zv5lClT4O3tjVu3bqFt27ZwdHTEuHHjEBAQgI0bN+LkyZNo0qQJ9u7dCwBwdHTE/Pnz8ebNG13eBdKyxA+LCxcuxLp163D8+HGULVsWpqamAICePXsiOjoa06ZNg76+PooWLQoLCwtcv34dCoVC7fBIIqKUsN1pY7spo9huIspsbHfa2G7KKLab6PvJBHc/aY27uzvWr1+P1atXo0aNGihRogTCwsIwd+5c7Nu3D6amprCzs4O/vz8iIyNx48YN6Ovr59g3K5Fkhnngc/yXL1+OjRs3olChQpg0aRL8/Pzg5+cHhUKBAwcOYOfOnYiOjkaRIkWwefNmGBkZoUOHDqhcuTKmT58OIOd+O4HUKZVKdOvWDdWqVcOff/4pfdBO+rx68eIFwsLCkCdPHtjZ2UFPTy9XnauRiL4f262O7abvwXYTkTaw3erYbvoebDfRd9LKFK4kLly4IMqUKSPOnz8vLVOpVEIIIUJCQsTp06fFgAEDxLBhw4SHh4eIj48XQgjpf3OaxNnhE//31atXol69euLYsWNCCCHOnDkjjI2Nxfr165NdNyYmRvp5zJgxwsLCQjx69EgLo6asJDQ0VBQtWlRMnTpVWpb4moqOjhYBAQHJrpP4fCMiSg+2Wx3bTd+L7SaizMZ2q2O76Xux3UTfh7uftCQoKAhxcXGws7NLdpmZmRmaN2+O5s2bqy1PSEjIkXsI3d3dER4ejqVLl0rfKNDX18enT59QtWpVHDx4ED179sSCBQvQv39/xMTEYMeOHahVqxYqV64MQ0ND3Lt3DwsWLIC3tzdOnDiBsmXL6vheUWZKaRb1vHnzwtHREdevX8fz589RsmRJaY+7n58fVq9ejdmzZ6Nw4cLSdb68DSKitLDd/8N2U0ax3USkC2z3/7DdlFFsN5Hm8dWQyVQqFQAgJiYGwP9mEE9cDgD79u3D6dOnk103Jx7mFhkZibCwMNy6dQuTJk1CQkICACAuLg5yuRzz589Hv379MHfuXGnCm8ePH2P//v0ICgqSbqdSpUro0aMHvLy8UL16dZ3cF9KOpPF/+vQpHj9+DODzoY3NmjXD3bt3sWHDBml29eDgYMycORP+/v4oVKiQzsZNRNkX262O7aaMYruJSNvYbnVsN2UU202UOXiOdw1LaQ8hALx//x5ly5bFjz/+iA0bNkjLo6Ki0LVrV9SvXx9jx47V5lC17vHjxyhbtixCQkLg4eEBLy8vNGvWDNOmTYNCoYCHhwfc3d3h5uaGlStXAvj8gaFLly6Ij4/H0aNHIZfLU32MKWcbN24ctm3bhri4OFSqVAmbNm1CsWLFsGTJEqxfvx5xcXGwsLBAZGQkEhISpHM18vlCRF/DdqeO7abvwXYTUWZhu1PHdtP3YLuJNCvnHU+lQyLJLOGrV6+Gr68vbGxs4OTkBAcHB2zatAk9e/bEp0+f0KNHD+jr62PFihUIDAzEvn37dDz6zDV37lwsX74cu3fvxg8//IAxY8ZApVLBy8sLKpUKM2bMwJgxYxAQEIDly5cjPj4e8fHx8Pf3x/v373Hr1i3GP5dJ+t969+7d2LlzJxYuXAi5XI6pU6eiRYsW2Lt3L3777TfUrFkT9+/fx/3791GmTBm4urpCoVBwQhci+iq2O3VsN2UU201E2sB2p47tpoxiu4kyF7/xriFJ36z+/PNPrFmzBrVq1UJgYCCUSiWWLFmCpk2b4vr16xg0aBAiIiJgbGyMkiVLYs+ePTl6FnUAOHHiBFavXo1Xr15h6dKlqFu3LkJCQjBnzhycPXsWzZs3x/Tp0yGXy7F27Vp4eXlBLpejbNmyGD9+PN/Mc7G9e/fi3bt3AIDBgwcD+PyNjMaNGyMiIgJ79+5FpUqVkl0vJ7+eiEgz2O60sd30rdhuIsosbHfa2G76Vmw3USbR1ayuOdXDhw/F8OHDxfXr14UQQly7dk307NlTFC9eXJw8eVIIIURkZKQICAgQr1+/lmaDzqmzqCd17tw50aFDB1G9enVx8eJFIYQQnz59Eu7u7qJWrVrC3d1dehyio6PVrqtUKrU+XtK94OBgkT9/fiGTycSECROEEP+bQT0iIkLUrFlTVK5cWdy4cUOXwySibI7tTh3bTRnFdhORNrDdqWO7KaPYbqLMw2OHNGjv3r1wdHSEt7c3ihYtCgCoVasWRo4ciYYNG+KXX37BqVOnYGxsjKJFi8La2hoymQwqlSpH71EW/39QRePGjTF8+HCUKFECQ4cOxaVLl2Bubo6xY8eiefPmOHfuHCZOnAilUgkjIyO12+Ae1NxHCIH8+fPj+vXrqFatGo4ePYqAgADIZDIIIWBiYoLz588jLCwMixYt0vVwiSibYrtTxnbTt2C7iUgb2O6Usd30LdhuoszFDe8aZGhoCHt7ezx58kRtJvBq1aph1KhRaNSoEdq1a4ebN2+qXS+nnjstcQZ5mUwmLWvatCmGDRsGW1tbtQ8B7u7uaNasGf7++2+sW7dOV0MmHUp8viRKfN7Y2dlh9+7d+PTpE3r27InAwEDpQ4CxsTEeP36MTZs26WLIRJQDsN3q2G7KCLabiHSB7VbHdlNGsN1E2sVzvH+j1CYb8fLywsyZMxEcHIwNGzagevXq0mU3btzAsWPHMH78+By/Jznp43Pq1ClERUUhJiYGXbp0AQBcunQJc+fOxatXr7BixQrUrVsXnz59wq5duzBo0KAc//iQuqTPlw0bNuDRo0cIDAzEqFGjUKlSJejp6eHp06dwdHREiRIlsGPHDlhZWUEIIX1Q4LnliOhr2O60sd2UEWw3EWkD2502tpsygu0m0j5ueP8GSd+s7t27B5lMBoVCgbJlywL4PKHJihUr8PbtW6xduxbVqlVLdhu55c1q1KhR2L59O/Lly4c3b96gUqVKmDdvHho0aIALFy5g4cKFePXqFebNm4cmTZpI18stjw+pc3d3x5YtW9C4cWNER0fj7NmzWLlyJdq2bYu8efPi6dOncHJygpGREby9vVGgQAFdD5mIsgm2O/3YbsoItpuIMgvbnX5sN2UE202kRVo+p3y2lzjBhBBCTJw4UVStWlVYWlqKhg0binnz5kmXHTt2TLRr107UqVNHXLt2TRdD1bkNGzYICwsLcevWLREYGCjevn0rateuLWrUqCH8/PyEEEKcOXNGNGrUSPTr108Iof74Uu6ydu1aYWNjI27duiWEEMLHx0fIZDKRL18+sXbtWhEeHi6E+DyR0k8//cSJf4go3dju9GO7KSPYbiLKLGx3+rHdlBFsN5F2ccP7N5o6daqwsLAQp0+fFg8fPhT9+vUTMplMTJkyRVrn+PHjol69emLAgAE6HKn2JUZ83Lhxol27dkIIoTZresWKFUWbNm2k9W/duiUSEhK0P1DSqaT/zePi4sSCBQvE2rVrhRBCHDhwQOTLl09s27ZNDB8+XOTLl09s3LhRhISEqN0GPwQQUUaw3aljuyk92G4i0ja2O3VsN6UH202kW9zw/g2uX78u6tWrJ86ePSuE+Bz6vHnzik6dOglTU1Mxbdo0ad2rV6/mirj5+vqKAwcOiAsXLkjL+vXrJ+rXry/9HhUVJYQQ4ujRo8LS0lL8999/areRGx4nSu7+/ftCiM/PoVevXomnT5+KSpUqicWLFwshPn9AVCgUQiaTiUOHDulyqESUjbHdybHd9K3YbiLSBrY7ObabvhXbTaQbOXNabw0TX5wGv0yZMmjTpg1q1aoFLy8v9O3bFwsWLMD69etRr149TJ48Gb///jsAoHbt2tDT00s2c3ROsm3bNvTt2xcbNmzAkSNHpOX9+vXD7du3sXjxYgBAnjx5AADx8fEoVKgQ8ubNq3Y7OXWWeUrd7t274eLiAgCwt7dHsWLF8Pz5c+jr68PJyQnA5/MOuru7Y8mSJdK6RERfw3anje2mb8V2E1FmYbvTxnbTt2K7iXRHoesBZAeJszfPnj0b5cuXx48//oiRI0fCwMAAO3fuxM8//4w+ffrAwMAA5cqVQ0xMDJ4+fao283NOjdvmzZvh5uaGDRs2wNnZGebm5tJlVatWxR9//IGlS5ciJiYGgwcPRkhICNauXYtixYrBwsJCdwOnLMHZ2RnDhw/HzJkz8eeffwIAPn78iAcPHsDf3x8ymQxTp05FwYIFMX36dACAUqmEQsG3LiJKG9udOrabvgfbTUSZhe1OHdtN34PtJtIdvorSKS4uDnfu3MG1a9fQvHlz5MuXD3FxcfD19UWVKlVgYGCA6OhovH37Fr/88gu6d+8OAGofAnKae/fuwcPDA0uXLkXXrl2l5Yn32czMDAMGDICJiQlmzJiBxYsXI2/evMifPz8uXrwImUymNlM95WwJCQmQy+XS73FxcTAxMYGrqyuuXr2K9+/fw8LCAp07d8a+ffvg7OwMW1tbFChQAPv27ZOux/gTUXqx3cmx3ZQRbDcRaRvbnRzbTRnBdhNlLTLx5fFclKotW7Zg2rRpOHjwICpWrAgAWLBgARYtWoQmTZrg+fPniIqKwo0bNyCXy3N0/AHg5MmTcHNzw/Hjx1GmTJlk9zXp/X/9+jVu3LgBMzMzNGzYEHK5nHtQc4mQkBC1b2Q8ffoUdnZ20u/Xrl1Ds2bNsHbtWnTr1k1afurUKejr6/P5QkTfhe1Wx3ZTerDdRKRLbLc6tpvSg+0mypq44T0Fab3RNGnSBHnz5sXhw4cBAM+ePcP+/ftx5swZWFtb46+//oK+vn6yvYw50ezZs7Fw4UK8f/8eQMrfMnjw4AGCgoLQpEkTteW54fEhwNXVFQUKFMCIESNgZWWFHTt2YOrUqWjRogXGjh2LQoUKwcjICGPHjoWXlxf27t0LW1vbZLfD5wsRfQ3bnT5sN30N201E2sJ2pw/bTV/DdhNlXTzWKIkNGzYA+N8hNStXrsThw4fx9u1baZ0//vgDgYGBuHTpEgCgVKlSGDlyJI4ePYp169ZBX18fSqUyV7xZlS5dGpGRkTh58iQApPgtg82bN2P79u3JJsrJDY8PAWZmZtixYwc8PT0RGhqKGjVqYPTo0Th69Ch+/PFHuLm54eXLl3BycoKRkREePnwI4HPwk+LzhYhSw3ZnDNtNX8N2E1FmY7szhu2mr2G7ibIubnj/fxcvXsTAgQMxYsQIadn27dsxZcoUODk5Ye/evfj48SNatmwJlUqF7du3S+slnTldCJFrDstxcHCAgYEB1qxZA39/f2l5YuzDwsLw5MkTVKlSJUcf+kfJJT4H5s2bh19++QWrVq3C8uXLUahQIQwYMAAPHz5Er169EBgYCAcHB5w7dw63b9/GjBkzADD4RJQ+bHfGsd2UGrabiLSB7c44tptSw3YTZQOChBBCxMbGip07dwpjY2Px66+/Sst9fHzEqFGjRP78+YWzs7NYu3atOHTokChUqJC4cuWKDkecNezYsUMYGhqK7t27i1u3bknLX79+LVxcXET9+vVFfHy8DkdIupCQkCD9/ObNG9GhQwdha2srZsyYIQICAoQQQqhUKiGEECtXrhS9evUScrlcVKpUSe26RERpYbu/DdtNKWG7iUgb2O5vw3ZTSthuoqyP53gH1Gb43rt3L7p27YqxY8dKewEB4PLlyzh79iwWLVoEU1NTvHz5EitWrMDgwYN1NewsISEhAZ6enhgyZAgsLS1RuXJlqFQqhIaGQqVS4eLFi7nm3HuU3G+//YZLly7B1tYWz549w7179zB58mT0798fRYoUkdYLCQnB8+fPUaVKFSgUCrXXJBFRStjub8d2U1rYbiLKLGz3t2O7KS1sN1HWles3vIskE5PMmzcPr169wpYtWxAaGorff/8dCxYsUFs/JCQEs2bNQmBgIDZs2JBrDm/7Gl9fX2zYsAGPHj2CjY0NqlevDjc3N86KnYsdPnwYffr0gZeXFypWrAgDAwOMHz8eq1atwh9//AFXV1cULlw42fX4fCGir2G7NYPtpi+x3USUWdhuzWC76UtsN1HWlutfZYnxnzZtGpYtWwZPT080bdoUt27dgoeHBxISErB48WIAQHx8PMzNzTFnzhxpryDfrD6rVq0ali5dmmx5QkICH59cKjo6GhYWFihSpIj0HJg1axbi4uIwc+ZMKBQK9OjRAzY2NmrX4/OFiL6G7dYMtpu+xHYTUWZhuzWD7aYvsd1EWRtfafj8RnXhwgWMGjUKbdq0AQA4OTnBzs4OAwcOhLGxMWbNmgV9fX21Q3FELprQJT2SfoshEQ9zy12+fH18+PABQgjo6ekhKioKxsbGGDp0KNauXYsZM2bA2toavXv31vGoiSg7Yrs1g+0mtpuItIXt1gy2m9huouwj153MKbUz6zx//hxBQUHS78bGxujUqRPat2+POXPmwM3NDQDUzn/FGcPV8fHInW7cuIG7d+8CUH99dO7cGWXKlJE+VBsbGwMAYmJi0L17d8ycORM9evTQ/oCJKNthuzMPH4/cie0moszGdmcePh65E9tNlD3lug3vX0pISECePHnQp08f+Pj44NKlS9JlpqamqFChAhwdHfH06VOoVCodjpQo67l06RJq166NCRMmoE2bNnj69Ck+fvwI4PMHwqVLlyIqKgqVKlXC0aNHcezYMYwYMQLv3r3Db7/9BrlcjoSEBB3fCyLKbthuom/HdhORLrDdRN+O7SbKvnLVhvcNGzagQYMGOHr0qLSnMPGQrPr16yNv3rxYvnw5Lly4AAAIDQ2Fn58funXrhlOnTkFPT48fAoiSiI6OhqmpKUaMGAELCwsMGjQIXbt2xdGjRxEZGYnatWvj8OHDKFGiBFxdXTF06FBERUVh586dAD5/E4aHRRJRWthuIs1iu4kos7HdRJrFdhNlXzKR2jFgOYgQAkII1KlTB3fv3kXv3r1x48YNdOrUCT/++CPKly8PADh06BCWL1+Ou3fvwtbWFuHh4ZDL5bh16xYUCkWK51Ijyu169+6NggULYtGiRfDy8sKdO3cwbdo01KlTB46Ojvjjjz8AAJ8+fcKnT59QokQJ6OnpcYIkIkoT202UedhuIsoMbDdR5mG7ibKnXLHhPdH+/ftx4sQJuLq64s2bN3B3d4ednR0MDAwwZ84c2NnZ4ePHj/Dx8cHFixdRqFAhjBw5EgqFAgkJCdxDSJRE4oQue/bswfr167F161YULFgQAFCkSBGUKVMGjx49QrFixVC5cmUsXLhQujzpZDBERGlhu4k0h+0mIm1gu4k0h+0myt5y1YZ3X19f9OnTBx4eHnByckJ8fDzOnDmDVq1awcHBATY2Nhg+fDh++OEHGBkZSdfjHkKi1EVFRaFq1aro378/xo8fD3t7e5iZmeHAgQMwMDCAu7s7IiMjsW7dOn6IJqIMY7uJNI/tJqLMxHYTaR7bTZQ95aoN7wAwefJkHDhwAP/++y/09PRgb2+PIkWK4Oeff8bFixexceNG/Pnnn5g+fbquh0qU5SXuQT906BAWLlyIJ0+eoGTJkti/fz8sLCzU1vnyZyKi9GK7iTSH7SYibWC7iTSH7SbKvnLNhvfE88TduXMH48aNw2+//YZRo0Yhb968OHLkCMzMzAAAFy5cQN26dbmHkCiJJ0+eoEyZMqmeb/HBgwdo06YNChcujMuXL0vLkwaf52okooxiu4m+HdtNRLrAdhN9O7abKOfJ0bvAks6EnvjGU6VKFSgUCjg5OaFIkSJq8RdCoEGDBpDL5VAqlToZM1FWolKp8PbtW1SoUAFHjhxJNeAVKlTAsGHD8OrVK7x69UpannQvO+NPROnBdhN9H7abiLSN7Sb6Pmw3Uc6V4za8nz9/HkOGDAGAZIfWJH4gmDlzJmrUqIGuXbtK8QfU36B4bjmiz6+hIkWKYMKECfD09ERgYGCydRIPmnF2dkaJEiVw+PBhtQ/fRERfw3YTaQ7bTUTawHYTaQ7bTZRz5agN70IIBAUFISAgAC9fvpSWJUr8QGBlZQVLS0tcunQp2TpElJyjoyMiIyPx5MkTAEBCQoJ0WeIH5/Lly8PAwABnz57l+eSIKN3YbqLMwXYTUWZhu4kyB9tNlPPkuHO8BwUFoXXr1mjVqhWmTZuW6nonTpyAi4sLLl++jDp16mhxhETZk6urK/79919cv34dgPq54xLPKRceHg5jY2Oeq5GIMoTtJsocbDcRZRa2myhzsN1EOUuO2j0mhIClpSUWLlyILVu24Pz586muZ29vj7Fjx6JmzZpaHiVR9pJ4+NrChQthamqKpUuXAlA/RDRxT3vevHkhl8vV9swTEaWF7SbSPLabiDIT202keWw3Uc6Uoza8y2QyCCHg4OCAdu3a4fz580hISEh23iuZTAYrKyvMnj2bE7oQJZFSuBPjbmRkBEdHR1y/fh1xcXEAUj9clHveiSi92G6i78N2E5G2sd1E34ftJso9ctSGd+Bz3E1MTPDDDz9g/fr1ePnyJfT09NI8nxwndKHc7pdffsH9+/fT3GuuUCjQu3dvnDlzBn/99RcAzphORJrBdhNlHNtNRLrEdhNlHNtNlPvkuA3vibp164amTZti6NChiIqK4hsVUSqeP3+O27dvo3Xr1nj8+HGqHwJUKhVsbGywePFi7NmzB35+fjoYLRHlZGw3Ufqw3USUVbDdROnDdhPlTjlyw3viIW6DBw+GkZERrly5oraciP6nZMmS+Ouvv1C5cmW0aNEi1Q8BiYe+OTg4wMrKCjdv3gTA1xURaQbbTZR+bDcRZQVsN1H6sd1EuVO22/Ce2ptN0jerxDeqGjVqQKFQYPXq1WrLieizxENBq1evjmnTpn31QwAA2NnZoXbt2hg9ejQ+ffrE1xURfRXbTaQ5bDcRaQPbTaQ5bDdR7iUTaZ2ELYtRqVTSm82FCxcQExODuLg4tGrVKtV1AwMD4eDggKlTp2LgwIHaHjJRliWEgEwmU3td3bx5ExMnTsS9e/dw6tQplC1bFgkJCdKkLYnXAYD58+fDyckJVapU0dl9IKKsj+0m0hy2m4i0ge0m0hy2myh3y1Yb3hO5u7vjwIEDUCgUiI2NhY2NDXbs2AFLS0u19RLf2GbNmgVjY2O4urrC2NhYR6MmyjqSRj8uLg7R0dEwMzMDANy9exejRo3CgwcP0vwQEBISAnNzc13dBSLKZthuou/DdhORtrHdRN+H7SaibHesypIlS7Bu3Tps3boVd+/exW+//YZz587h0aNH0jqJ+xIS3+C6dOmCRo0aMf5EUI//3Llz0bZtW9SqVQuurq64du0aKleujIULF6JChQpo2bIlnjx5ArlcLh1umrjnnfEnovRiu4m+D9tNRNrGdhN9H7abiIBsuOH9wYMHmDJlCmrWrIm9e/diwoQJWLVqFRo1aoSoqCgASDaTup2dHWrUqKGL4RJlOYnxnzhxIubNm4fGjRvDzc0N3t7eGDt2LPbv34+KFSvCw8MDVapUQeXKlfHq1SueU46IvhnbTfR92G4i0ja2m+j7sN1EBGTxU80k3UOY+PsPP/yA7t27w97eHu3atcO8efPg5uaGhIQEzJw5EyVLlkSvXr10OGqirO/p06do06YN5s2bhzZt2gAAXr9+jUGDBiEqKgrbtm1D0aJFceXKFezduxdz5syRDnkjIkoL202UOdhuIsosbDdR5mC7iShL70pLjH9YWJj0e5cuXbB//360bt0aCxYsgJubGwAgJCQE165dQ1BQkM7GS5RdKBQKREZGQl9fHwAQHx+PokWLYv369bh9+zb27t0LAPjhhx8wb968VGdaJyL6EttNlDnYbiLKLGw3UeZgu4koS254TzynFQDs27cPxYoVQ0BAAACgbt26+PTpE+zt7WFvbw8A8Pf3R+/evfHhwweMGDFCF0MmyrJSOqjF0NAQSqUS169fBwDI5XIolUoUKVIENWvWRGBgYLLrcM87EaWF7SbSHLabiLSB7SbSHLabiFKS5Ta8Jz3MbceOHfjvv/8QERGBVq1awd/fH/Xq1cPcuXMRHR2NPn36wM7ODp06dcKHDx/g4+MDhULBPYRE/0+lUknnXgwPD0dCQgJiY2NhZWWFCRMmYMqUKdi4cSP09PSgUCgQHx+P9+/fo0CBAjoeORFlJ2w3keaw3USkDWw3keaw3USUmix7jvcxY8Zg586d+P333/H06VOcPn0aUVFR8PHxQfHixXHv3j28fv0a9+/fR7ly5dCyZUtp76FCodD18Il0LumHaQ8PD5w9exYfP35ElSpVMGrUKFSoUAHjx4/HnDlz0KNHDxQoUAB3795FYGAgbt++zdcREWUY2030fdhuItI2tpvo+7DdRJSWLLnh/eHDh2jRogVWrlyJtm3bAgDu3LmDwYMHIyAgAD4+PrCxsUl2vYSEBB6WQ/SFP//8E6tXr8akSZPw/Plz3L9/H9euXcP58+dRtWpV7Nu3D2vXroWRkREKFy6M5cuXQ19fn68nIsoQtptIc9huItIGtptIc9huIkpJltzwfuPGDTRu3BhXr15F5cqVAXzei3jt2jU4OzujePHiOHHiBKysrPgmRZSGly9fom3btpgxYwbatWsnLRs3bhzOnTuHixcvomTJkoiPj5cmfAHAb7AQUYax3USawXYTkbaw3USawXYTUWp0fo73lLb729vbo1SpUti8ebN0uZ6eHipXrozKlSvjzZs3qF+/PiIjIxl/ojRERETg8ePHMDMzk5bZ2tpiwoQJsLa2hpeXFwBI56MDPr8mGX8iSgvbTZR52G4iygxsN1HmYbuJKDU63fCedAKKjx8/4vXr14iJiYG+vj46deoEHx8frFixQu061tbW2LhxI0xNTTF37lxdDJsoS0rpw3SJEiXg4OCAEydOICoqCsDn2JcvXx4JCQl4+vQpAKgFP+mHASKiL7HdRJrDdhORNrDdRJrDdhNRRuhs95oQQpqAYsqUKfD29satW7fQtm1bODo6Yty4cQgICMDGjRtx8uRJNGnSBHv37gUAODo6Yv78+Xjz5o2uhk+UpSSd0OXTp09QqVQoWLAgTExMULduXZw4cQJly5ZFr169IJfLERMTgzx58sDS0lLHIyei7ITtJtIctpuItIHtJtIctpuIMkrr53gXQqjt2ZsyZQqWL1+OjRs3olChQpg0aRL8/Pzg5+cHhUKBAwcOYOfOnYiOjkaRIkWwefNmGBkZoUOHDqhcuTKmT5/++Y5wbyHlQtu3b8fPP/8snSdu0qRJOHbsGIKDg9G7d29MnjwZKpUKffr0gZ+fH2xsbFCjRg2cO3cOwcHB8PX15eFtRPRVbDeR5rDdRKQNbDeR5rDdRPTNhBYlJCSo/e+rV69EvXr1xLFjx4QQQpw5c0YYGxuL9evXJ7tuTEyM9POYMWOEhYWFePTokRZGTZQ1eXt7C5lMJv78808hhBArVqwQ1tbWYvHixWLSpEkiT548okePHiIuLk6oVCqxatUq0a1bN+Hk5CR++eUXERcXJ4QQQqlU6vJuEFEWx3YTaQ7bTUTawHYTaQ7bTUTfQ2vfeHd3d0d4eDiWLl0qTcwSFBSEpk2b4vTp07h+/Tp69uyJefPmwc3NDTExMdixYwdq1aolzbB+7949LFiwAN7e3ti9ezeqV6+ujaETZVk7duxA3759MXHiRJiYmKB48eLo2LEjAMDHxwfOzs7o0KED1q5dC2NjYwBAbGwsDA0NAXAWdSJKG9tNpHlsNxFlJrabSPPYbiL6VlqZXDUyMhJhYWG4desWJk2ahISEBABAXFwc5HI55s+fj379+mHu3Llwc3MDADx+/Bj79+9HUFCQdDuVKlVCjx494OXlxfgTAejWrRvWr1+PqVOnYsyYMQgLCwPw+dDShg0b4vjx4zh48CCGDBkivZYS4y84izoRpYHtJsocbDcRZRa2myhzsN1E9K0yfcP748ePYWJiglmzZqFp06Y4c+YMJk6cCKVSCRsbG/Tq1QuLFy9G165dMWTIEACfPzCMHz8esbGxaNKkCYDPk1gAQPPmzWFra5vZwybKshJfC8DnD9E9e/bEzp07IZfLceXKFcTGxkImk0kfAk6cOIHNmzdj7dq1arfD8zMSUWrYbiLNYruJKLOx3USaxXYTkSZk6m63uXPnYvny5di9ezd++OEHjBkzBiqVCl5eXlCpVJgxYwbGjBmDgIAALF++HPHx8YiPj4e/vz/ev3+PW7duQS6Xq80cTZSbJX0trFu3DqGhoRg4cCB++uknxMfHo2fPnihYsCCmTp0KhUIBIQTq168PX19fVKxYUcejJ6LsgO0m0iy2m4gyG9tNpFlsNxFpSqZWtVq1aqhVqxaGDRuGy5cvw9zcHO7u7mjSpAnOnj0rHf62dOlSrF69GhEREVAqlWjSpAn+/fdf6OvrQ6lUMv5E/y/xtTBmzBhMmjQJJiYmCAkJAQB07doVmzdvxty5czF58mQolUpp73rVqlWhUCigVCp1NXQiyibYbiLNYruJKLOx3USaxXYTkaZk+uSq58+fx+LFi/Hy5UssX74c9erVQ0hICObOnYszZ86gefPmmD59OhQKBWJiYmBkZCRdNyEhQZoQhog+27VrF/744w/s3bsXP/zwQ7LLt2/fjv79+2PQoEFYvHgxX0NElGFsN5Fmsd1ElNnYbiLNYruJSBMybZd24vb8xo0bY/jw4ShRogSGDh2KS5cuwdzcHGPHjkXz5s1x7tw56dxzSeMPgG9cREkkTo50+/Zt1KpVSy3+ieefE0Kge/fuWLp0KW7fvs1vrRBRhrDdRJrFdhNRZmO7iTSL7SYiTdL4u0PiG1HSCSSaNm2KYcOGwdbWVu1DgLu7O5o1a4a///4b69at0/RQiLI9Pz8/+Pj4APjfB+LQ0FDExsaqraenpwelUonDhw8jJCQErq6u8Pb2liZ7ISJKC9tNpDlsNxFpA9tNpDlsNxFlFo1ueE86AcWpU6dw8OBB7Nq1C8DnDwFjxoyBjY0Nhg4disuXL8PMzAyjRo3C6NGjMWjQIE0OhSjb27ZtG3r37o3du3fjwYMH0nJ7e3ucPn0aly5dUls/LCwMW7Zsgbe3t9pyzqJORGlhu4k0h+0mIm1gu4k0h+0mosyUKed4HzVqFLZv3458+fLhzZs3qFSpEubNm4cGDRrgwoULWLhwIV69eoV58+ahSZMm0vV4bjmizzZs2IDffvsNHh4ecHJyQqlSpdQu79ixI7y9vbFp0yaUKVMGcrkcv/76K4KDg3H58mW+jogow9huou/DdhORtrHdRN+H7SaizKbxDe+enp4YO3YsTpw4AWtrawgh0L59eyiVSmzcuBFVqlSBl5cXpk6dCjs7O2zYsAFCCO4dJPp/N2/eRKdOnTBnzhx06dJF7bLQ0FCYmZkhKioKI0aMwK5du2BoaAhLS0uYmprC29sb+vr6/DBNRBnCdhN9H7abiLSN7Sb6Pmw3EWmDxja8J0Z8/PjxuHfvHg4ePAilUinNmu7g4IBSpUrh8OHDAIB///0X9vb2nISC6Au7du3CvHnzcOrUKeTPnx8AcPToUZw4cQJnzpyBnZ0dlixZghIlSuDChQuIjo6GQqFA48aNpXPOKRQKHd8LIsoO2G4izWC7iUhb2G4izWC7iUgbvutd4vbt23jx4gUKFSqE+vXrAwACAwPx8ePHzzeuUCA6Ohp58uTB/Pnz0a9fPzx9+hR2dnaoXr06APXz0xEREBsbi/j4eDx8+BB169bF8OHDcevWLcjlcrRt2xaHDh1C+/btcfv2bTRo0EDtugkJCYw/EaWJ7SbSPLabiDIT202keWw3EWnDN5d327Zt6Nu3LzZs2IAjR45Iy/v164fbt29j8eLFAIA8efIAAOLj41GoUCHkzZtXfQCMP5Ga2rVrQwiB/v37w9LSEocPH8bAgQPx999/Y/bs2di0aRMePXqEc+fOJbsuD3MjorSw3USZg+0moszCdhNlDrabiLThm3bRbd68GW5ubtiwYQOcnZ1hbm4uXVa1alX88ccfWLp0KWJiYjB48GCEhIRg7dq1KFasGCwsLDQ1dqIcRwiB8uXLY/v27fD19UVISAj69Omj9sE5LCwMFSpUgLW1tQ5HSkTZDdtNlDnYbiLKLGw3UeZgu4lIWzJ8jvd79+6hS5cuGDFiBAYOHCgtTzpRi7+/P3bu3IkZM2bA2NgYefPmRf78+XHx4kXo6+vzMDeiNKQ16VF0dDS6du0KmUyGffv28XVEROnCdhNlLrabiDSN7SbKXGw3EWlDhje8nzx5Em5ubjh+/DjKlCmT7I0q6ZvX69evcePGDZiZmaFhw4aQy+WcgILoG4SHh+P27duYOXMmAgICcOvWLX6YJqJ0Y7uJtI/tJqLvwXYTaR/bTUSaluES37x5E+Hh4ShbtiyA5HsJZTIZHjx4gKCgIDRp0gRFixaVLuMEFESfZSTcSqUSo0ePxn///QczMzP8+++/UCgU/DBNROnGdhN9P7abiLSJ7Sb6fmw3Eelaht89SpcujcjISJw8eRItW7ZM8dCczZs34+PHj2jcuLHa5ZyAgghq4b5//z7MzMxgbGyM/PnzA0j+oVqhUGD06NF49eoVGjVqBD09PcafiDKE7Sb6Pmw3EWkb2030fdhuIsoKMnysjIODAwwMDLBmzRr4+/tLyxPPWBMWFoYnT56gSpUqqZ4viyg3mjVrFi5duiSF293dHW3btkWNGjUwYsQInD9/HsDnb68kPQOUEAJ2dnZo0qQJ9PT0oFKpGH8iyhC2m+jbsN1EpCtsN9G3YbuJKCvJ8DneAWDnzp3o27cvfvrpJ4waNQrVq1cHALx58wYDBw5EWFgYzp07xzcpov939epVuLm5wcbGBjNmzEBISAh69uyJdevW4f79+zh79iw+fPiAyZMno2XLlgDSnuyFiCij2G6ijGG7iUjX2G6ijGG7iSir+aYN7wkJCfD09MSQIUNgaWmJypUrQ6VSITQ0FCqVSppFPSEhgYe5Ef2//fv346+//kK+fPlga2sLW1tbjBgxAgDg7e2NZcuWISAgANOmTUOLFi10O1giynHYbqKMY7uJSJfYbqKMY7uJKCv5pmmZ5XI5Bg4ciGvXruHHH3+ESqWCjY0NevXqhcuXL0NfXx9KpZLxJ8Lnc8sBwI8//oiBAwciMjISW7ZsQUREhLROo0aNMGzYMNjY2GDq1Kk4fPiwroZLRDkU202Ufmw3EWUFbDdR+rHdRJQVfdM33r+Ge9yJPkvpsLV9+/bBw8MDERER8PT0RK1ataTLLly4gMmTJ6N06dJYvXq1todLRLkY2030GdtNRNkF2030GdtNRFnVd2945/mwiFKW9LXh6emJe/fuYf78+QA+fwhYuXIljI2NMXnyZDg4OEjXu337NqpUqQI9vW86IIWI6KvYbqKUsd1ElFWx3UQpY7uJKCv77ncYxp8oOZVKJb02Ll26hDNnzmD16tXSB4COHTvil19+QXR0NKZMmYKbN29K17W3t5dmUSciygxsN1FybDcRZWVsN1FybDcRZXWZcqoZIvpszJgxuHbtGiwsLHDt2jXEx8fD1dUVU6ZMAQDs3r0b69evR1hYGDZs2IDy5cvrdsBERES5HNtNRESUvbDdRJRVKXQ9AKKcJOl5Fvfs2YM1a9bg2LFjqF27Nl6/fo0lS5Zgx44d0NPTw6RJk/Dzzz8jOjoat27dQtmyZXU8eiIiotyH7SYiIspe2G4iyi54MisiDRgwYABiYmLUJjd6+vQpSpUqhR9++AFyuRy2trYYPnw46tWrh0WLFmHevHkAgN69e2PBggU8zI2IiEiL2G4iIqLshe0mouyGG96JvtOtW7cQFRWlFn8AKF68OGJiYnDv3j21Zf369UN8fDxWr16N2bNnAwDkcjmEEJzYhYiISAvYbiIiouyF7Sai7IjvNkTfqVq1ati2bRv09fWxfv16REREAADKlCmD6OhobNiwAa9fv5bWNzExgYuLCzp27IgjR47g8ePHADhhEhERkbaw3URERNkL201E2REnVyX6Di9evECJEiWkn5s1a4Z8+fLh4sWLMDExwbZt2+Dm5oaePXvC0dER5cuXx6hRo2BnZ4eBAweiRo0a2LdvHzp06KDT+0FERJRbsN1ERETZC9tNRNkVv/FO9I3u3buHUqVKwdPTEwBQrFgxrF27FoaGhmjUqBEiIiLQo0cPrF+/Hvfv34ebmxvatm2Ld+/eYcGCBShbtiyqVq0KMzMzHd8TIiKi3IHtJiIiyl7YbiLKzviNd6JvFBERgenTp2Px4sVYvXo1+vbtC6VSCW9vb4wZMwZCCJw/fx6mpqZ4/fo1oqKiEBkZCXt7e8hkMowZMwZ79uzBhQsXYG1treu7Q0RElOOx3URERNkL201E2Rk3vBN9h9DQUCxduhSTJ0/Gjh070KVLF7UPAQBw/vx5mJiYSNe5fPkyFixYgAsXLuD48eOoVq2ajkZPRESU+7DdRERE2QvbTUTZFU81Q/QNlEolVCoVzMzMMHHiRNja2qJbt27YvHkzFAoFGjVqBA8PD8jlclSqVAkxMTHSdcuXL49SpUrBy8uL8SciItIStpuIiCh7YbuJKLvjN96J0unMmTO4fPkyJkyYoLb8559/xuPHj9GwYUOsXLkSnp6e6NOnD5RKJU6dOoU9e/ZgzZo1kMvl0nWEEJxNnYiIKJOx3URERNkL201EOYlC1wMgyg5iY2Px999/4/Lly9DX18fYsWMBAD/99BMeP36MI0eOoEiRIsifPz8GDBgAmUyG3r17o2XLlnBxcQEAJCQkSB8CGH8iIqLMxXYTERFlL2w3EeU03PBOlA6GhoaYPHkyPDw8cODAARgZGeHixYv477//cODAAdja2gIA3N3doaenh759+8LCwkKKPwC1Pe9ERESUudhuIiKi7IXtJqKchqeaIcqAt2/fYtasWThy5AhCQ0Ph5+eHokWLQqlUQqH4vB8rIiICO3fuRN++faVlREREpBtsNxERUfbCdhNRTsEN70QZFBQUhFmzZuHixYvo2rUrRo0aBUD9kLZEST8YEBERkW6w3URERNkL201EOQE3vBN9g8DAQMycORPXr1/Hjz/+KJ17TqVSQU9PT8ejIyIioi+x3URERNkL201E2R03vBN9o8DAQMyaNQs3b95E06ZNMWPGDF0PiYiIiNLAdhMREWUvbDcRZWfcRUj0jaysrDB+/HjY2dnh3bt34D4sIiKirI3tJiIiyl7YbiLKzviNd6LvFBwcDHNzc+jp6UEIAZlMpushERERURrYbiIiouyF7Sai7Igb3ok0hOeZIyIiyl7YbiIiouyF7Sai7IQb3omIiIiIiIiIiIiINIi7CYmIiIiIiIiIiIiINIgb3omIiIiIiIiIiIiINIgb3omIiIiIiIiIiIiINIgb3omIiIiIiIiIiIiINIgb3omIiIiIiIiIiIiINIgb3olI8uLFC8hkMvj6+up6KERERJQObDcREVH2wnYT5R7c8E6UTfTt2xcymUz6V7BgQTg7O8PPz0/XQyMiIqIUsN1ERETZC9tNRJrEDe9E2YizszPevn2Lt2/f4syZM1AoFGjTpo2uh0VERESpYLuJiIiyF7abiDSFG96JshFDQ0NYWVnBysoK1apVg7u7O169eoX3798DAO7cuYNmzZohT548KFiwIFxdXRERESFdX6VSYdq0aShWrBgMDQ1RrVo1HD9+PNW/l5CQgP79+6N8+fLw9/fP9PtHRESU07DdRERE2QvbTUSawg3vRNlUREQEtm7ditKlS6NgwYKIjIyEk5MT8ufPj+vXr2P37t04ffo0hg4dKl1nyZIlWLBgAebPnw8/Pz84OTmhXbt2ePLkSbLbj42Nxc8//wxfX1/4+PjA1tZWm3ePiIgox2G7iYiIshe2m4i+iyCibKFPnz5CLpcLExMTYWJiIgCIIkWKiJs3bwohhFizZo3Inz+/iIiIkK5z5MgRoaenJwIDA4UQQlhbW4uZM2eq3W6tWrXEkCFDhBBCPH/+XAAQPj4+onnz5qJBgwYiJCRES/eQiIgoZ2G7iYiIshe2m4g0id94J8pGmjZtCl9fX/j6+uLatWtwcnKCi4sLXr58iQcPHsDe3h4mJibS+vXr14dKpcKjR48QFhaGN2/eoH79+mq3Wb9+fTx48EBtWbdu3RAZGYmTJ0/CzMxMK/eNiIgoJ2K7iYiIshe2m4g0hRveibIRExMTlC5dGqVLl0atWrWwbt06REZGYu3atRr9O61atYKfnx8uX76s0dslIiLKbdhuIiKi7IXtJiJN4YZ3omxMJpNBT08P0dHRqFChAm7fvo3IyEjp8osXL0JPTw/lypVDvnz5YG1tjYsXL6rdxsWLF1GxYkW1ZYMHD8acOXPQrl07nD9/Xiv3hYiIKDdgu4mIiLIXtpuIvpVC1wMgovSLjY1FYGAgAODTp09Yvnw5IiIi0LZtW9SuXRuTJ09Gnz59MGXKFLx//x7Dhg1Dr169YGlpCQAYPXo0Jk+eDDs7O1SrVg2enp7w9fXFtm3bkv2tYcOGISEhAW3atMGxY8fQoEEDrd5XIiKinIDtJiIiyl7YbiLSFG54J8pGjh8/jiJFigAA8ubNi/Lly2P37t1o0qQJAODEiRP47bffUKtWLRgbG+Onn37CwoULpesPHz4coaGhGDlyJN69e4eKFSvi0KFDKFOmTIp/b8SIEVCpVGjVqhWOHz+OevXqZfp9JCIiyknYbiIiouyF7SYiTZEJIYSuB0FERERERERERERElFPwHO9ERERERERERERERBrEDe9ERERERERERERERBrEDe9ERERERERERERERBrEDe9ERERERERERERERBrEDe9ERERERERERERERBrEDe9ERERERERERERERBrEDe9ERERERERERERERBrEDe9ERERERERERERERBrEDe9ERERERERERERERBrEDe9ERERERERERERERBrEDe9ERERERERERERERBrEDe9ERERERERERERERBrEDe9ERERERERERERERBrEDe9ERERERERERERERBrEDe9ERERERERERERERBrEDe9ERERERERERERERBrEDe9ERERERERERERERBrEDe9ElOlKlCiBvn376noYRERElE5sNxERUfbCdhNlPdzwTtnaxo0bIZPJpH8KhQJFixZF37598fr1a10PL9tZuHAhZDIZTp8+neo6a9euhUwmw6FDh7Q4Ms3y9vZGu3btYGNjAyMjI1hZWcHZ2RkXL17U9dCIiHI8tluzcku7vzRo0CDIZDK0adNG10MhIsrx2G7Nyi3t/vJ5k/RfYGCgrodHpBUKXQ+ASBOmTZuGkiVLIiYmBleuXMHGjRtx4cIF3L17F0ZGRroeXrbRtWtXjB49Gtu3b4ejo2OK62zfvh0FCxaEi4uLlkenOY8fP4aenh7c3NxgZWWFT58+YevWrWjUqBGOHDkCZ2dnXQ+RiCjHY7s1I7e0O6kbN25g48aNfJ4QEWkZ260Zua3dic+bpMzNzXUzGCIt44Z3yhFcXFxQs2ZNAMDAgQNRqFAhzJ07F4cOHULnzp11PLrsw9raGk2bNsW+ffvw119/wdDQUO3y169fw9vbG66urtDX19fRKL/fwIEDMXDgQLVlQ4YMQalSpbB48WJueCci0gK2WzNyS7sTCSEwfPhw9O7dG2fOnNH1cIiIchW2WzNyW7uTPm+IchueaoZypIYNGwIAnj59qrb84cOH6NSpEwoUKAAjIyPUrFkz2aFb8fHxmDp1KsqUKQMjIyMULFgQDRo0wKlTp6R1+vbtC1NTUzx79gxOTk4wMTGBtbU1pk2bBiGE2u1FRkZi5MiRsLGxgaGhIcqVK4f58+cnW08mk2Ho0KE4cOAAKleuDENDQ1SqVAnHjx9XWy88PBwjRoxAiRIlYGhoiMKFC6NFixa4deuW2npXr16Fs7MzzMzMYGxsjMaNG6frVCo9e/ZEaGgojhw5kuyynTt3QqVSoUePHgCA+fPno169eihYsCDy5MkDBwcH7Nmz56t/Y8qUKZDJZMmWJx6K9uLFC7Xlx44dQ8OGDWFiYoK8efOidevWuHfvnto68fHxePjwId6+ffvVv58SY2NjWFhYICQk5JuuT0RE34ftZrvTY8uWLbh79y5mzpyZ7usQEVHmYLvZ7vQKDw9HQkJChq5DlBNwwzvlSIkByZ8/v7Ts3r17+OGHH/DgwQO4u7tjwYIFMDExQYcOHbB//35pvSlTpmDq1Klo2rQpli9fjj///BO2trbJApuQkABnZ2dYWlrCw8MDDg4OmDx5MiZPniytI4RAu3btsGjRIjg7O2PhwoUoV64cRo8ejT/++CPZuC9cuIAhQ4aga9eu8PDwQExMDH766Sd8/PhRWsfNzQ1//fUXfvrpJ6xcuRKjRo1Cnjx58ODBA2kdLy8vNGrUCGFhYZg8eTJmzZqFkJAQNGvWDNeuXUvzsevYsSOMjIywffv2ZJdt374dxYsXR/369QEAS5YsQfXq1TFt2jTMmjULCoUCP//8c4ofHr7Vli1b0Lp1a5iammLu3LmYOHEi7t+/jwYNGqh9UHj9+jUqVKiAcePGpfu2w8LC8OHDBzx8+BDjx4/H3bt30bx5c42NnYiI0o/tZru/Jjw8HGPHjsX48eNhZWWlsfESEdG3YbvZ7vRo2rQp8uXLB2NjY7Rr1w5PnjzR2LiJsjxBlI15enoKAOL06dPi/fv34tWrV2LPnj3CwsJCGBoailevXknrNm/eXFSpUkXExMRIy1QqlahXr54oU6aMtMze3l60bt06zb/bp08fAUAMGzZM7bZat24tDAwMxPv374UQQhw4cEAAEDNmzFC7fqdOnYRMJhP//feftAyAMDAwUFt2+/ZtAUAsW7ZMWmZmZiZ+/fXXVMemUqlEmTJlhJOTk1CpVNLyqKgoUbJkSdGiRYs075sQQvz888/CyMhIhIaGSssePnwoAIhx48ap3WZScXFxonLlyqJZs2Zqy4sXLy769Okj/T558mSR0ttP4n/P58+fCyGECA8PF+bm5mLQoEFq6wUGBgozMzO15c+fPxcA1P7O1zg5OQkA0mP/yy+/iOjo6HRfn4iIMo7tTo7t7iPSY9SoUaJkyZLS86F48eJf/e9ORETfj+1Oju3uI75m165dom/fvmLTpk1i//79YsKECcLY2FgUKlRI+Pv7f/X6RDkBv/FOOYKjoyMsLCxgY2ODTp06wcTEBIcOHUKxYsUAAMHBwfDy8kLnzp0RHh6ODx8+4MOHD/j48SOcnJzw5MkTaTZ2c3Nz3Lt3L117YYcOHSr9nHjIWlxcnDQ7+dGjRyGXyzF8+HC1640cORJCCBw7dizZ/bCzs5N+r1q1KvLly4dnz55Jy8zNzXH16lW8efMmxTH5+vriyZMn6N69Oz5+/Cjd18jISDRv3hze3t5QqVRp3q+ePXsiJiYG+/btk5Yl7olPPNwNAPLkySP9/OnTJ4SGhqJhw4bJvqXwrU6dOoWQkBB069ZNuh8fPnyAXC5HnTp1cPbsWWndEiVKQAiBjRs3pvv258yZg5MnT2L9+vX44YcfEBcXB6VSqZGxExFR2tju/2G7N371dh8/fowlS5Zg3rx5yc6FS0RE2sF2/w/bvfGrt9u5c2d4enqid+/e6NChA6ZPn44TJ07g48ePPGUc5RqcXJVyhBUrVqBs2bIIDQ3Fhg0b4O3trfZ/yv777z8IITBx4kRMnDgxxdt49+4dihYtimnTpqF9+/YoW7YsKleuDGdnZ/Tq1QtVq1ZVW19PTw+lSpVSW1a2bFkA/zvk7uXLl7C2tkbevHnV1qtQoYJ0eVK2trbJxpU/f358+vRJ+t3DwwN9+vSBjY0NHBwc0KpVK/Tu3VsaS+IHlz59+qT8YAEIDQ1VOxzwSy4uLihQoAC2b9+Ovn37AgB27NgBe3t7VKpUSVrvn3/+wYwZM+Dr64vY2FhpeUrnkfsWifelWbNmKV6eL1++77r9atWqST/37NkTNWrUQN++fdN1vjwiIvo+bDfbnRG//fYb6tWrh59++umbx0ZERN+H7Wa7v1eDBg1Qp04daacJUU7HDe+UI9SuXVuaJbtDhw5o0KABunfvjkePHsHU1FTa0zxq1Cg4OTmleBulS5cGADRq1AhPnz7FwYMHcfLkSaxbtw6LFi3CqlWrMHDgwEy9H3K5PMXlIsmEMJ07d0bDhg2xf/9+nDx5EvPmzcPcuXOxb98+uLi4SPd13rx5ahuWkzI1NU1zHPr6+ujcuTPWrl2LoKAg+Pv748mTJ/Dw8JDW8fHxQbt27dCoUSOsXLkSRYoUgb6+Pjw9PVM8T11SqX1A+HKylcT7smXLlhTP5apQaO4tzMDAAO3atcOcOXMQHR2t9q0CIiLSPLab7U4vLy8vHD9+HPv27VM7z6xSqUR0dDRevHiBAgUKaHTDABERJcd2s92aYGNjg0ePHmn0NomyKm54pxxHLpdj9uzZ0iQt7u7u0l5pfX19ODo6fvU2ChQogH79+qFfv36IiIhAo0aNMGXKFLUPACqVCs+ePZP2tgOfD4MGPh9+BQDFixfH6dOnER4errb3/eHDh9Ll36JIkSIYMmQIhgwZgnfv3qFGjRqYOXMmXFxcpEPm8uXLl677mpoePXpg1apV2LVrF54/fw6ZTIZu3bpJl+/duxdGRkY4ceKE2rccPD09v3rbiXv9Q0JCYG5uLi3/8psIifelcOHC33Vf0is6OhpCCISHh3PDOxGRFrHdbHda/P39AXyeiO5Lr1+/RsmSJbFo0SKMGDFCI3+PiIi+ju1mu7/Vs2fPYGFhkel/hygr4DneKUdq0qQJateujcWLFyMmJgaFCxdGkyZNsHr1arx9+zbZ+u/fv5d+TjqTOfB5L3Xp0qXVDulKtHz5culnIQSWL18OfX19NG/eHADQqlUrJCQkqK0HAIsWLYJMJoOLi0uG7ldCQgJCQ0PVlhUuXBjW1tbS+BwcHGBnZ4f58+cjIiIizfualvr166NEiRLYunUrdu3ahcaNG0vn7gM+f9CSyWRqe8tfvHiBAwcOfPW2E8Pu7e0tLYuMjMSmTZvU1nNyckK+fPkwa9YsxMfHp3lf4uPj8fDhwxT/+37p3bt3yZaFhIRg7969sLGxQeHChb96G0REpFlsN9udmmbNmmH//v3J/llYWKBmzZrYv38/2rZt+9X7QEREmsV2s91pSekxOHr0KG7evAlnZ+evXp8oJ+A33inHGj16NH7++Wds3LgRbm5uWLFiBRo0aIAqVapg0KBBKFWqFIKCgnD58mUEBATg9u3bAICKFSuiSZMmcHBwQIECBXDjxg3s2bNHbUIXADAyMsLx48fRp08f1KlTB8eOHcORI0cwfvx4ae9t27Zt0bRpU/z555948eIF7O3tcfLkSRw8eBAjRoxQm9AlPcLDw1GsWDF06tQJ9vb2MDU1xenTp3H9+nUsWLAAwOdz4K1btw4uLi6oVKkS+vXrh6JFi+L169c4e/Ys8uXLh8OHD3/1b8lkMnTv3h2zZs0CAEybNk3t8tatW2PhwoVwdnZG9+7d8e7dO6xYsQKlS5eGn59fmrfdsmVL2NraYsCAARg9ejTkcjk2bNgACwsL6VttwOdvD/z111/o1asXatSoga5du0rrHDlyBPXr15c+XL1+/RoVKlRAnz59vjrRi4uLC4oVK4Y6deqgcOHC8Pf3h6enJ968eYNdu3Z99bEhIqLMwXaz3SmxtbVN8Xy8I0aMgKWlJTp06PDVx4aIiDIH2812p6ZevXqoXr06atasCTMzM9y6dQsbNmyAjY0Nxo8f/9XHhihHEETZmKenpwAgrl+/nuyyhIQEYWdnJ+zs7IRSqRRCCPH06VPRu3dvYWVlJfT19UXRokVFmzZtxJ49e6TrzZgxQ9SuXVuYm5uLPHnyiPLly4uZM2eKuLg4aZ0+ffoIExMT8fTpU9GyZUthbGwsLC0txeTJk0VCQoLaOMLDw8Xvv/8urK2thb6+vihTpoyYN2+eUKlUausBEL/++muy+1G8eHHRp08fIYQQsbGxYvTo0cLe3l7kzZtXmJiYCHt7e7Fy5cpk1/v3339Fx44dRcGCBYWhoaEoXry46Ny5szhz5ky6H9979+4JAMLQ0FB8+vQp2eXr168XZcqUEYaGhqJ8+fLC09NTTJ48WXz51pL0PiS6efOmqFOnjjAwMBC2trZi4cKF0n/P58+fq6179uxZ4eTkJMzMzISRkZGws7MTffv2FTdu3JDWef78uQCQ7O+kZPny5aJBgwaiUKFCQqFQCAsLC9G2bVvh7e2d3oeGiIi+EdvNdifKSLtTUrx4cdG6detvui4REaUf2812J8pIu//8809RrVo1YWZmJvT19YWtra0YPHiwCAwMTO9DQ5TtyYRIMnsEEaVL3759sWfPnhQPKSMiIqKsh+0mIiLKXthuIsrueI53IiIiIiIiIiIiIiIN4oZ3IiIiIiIiIiIiIiIN4oZ3IiIiIiIiIiIiIiIN4jneiYiIiIiIiIiIiIg0iN94JyIiIiIiIiIiIiLSIG54JyIiIiIiIqLv4u3tjbZt28La2hoymQwHDhxQu7xv376QyWRq/5ydndXWCQ4ORo8ePZAvXz6Ym5tjwIABiIiIUFvHz88PDRs2hJGREWxsbODh4ZHZd42IiOibKHQ9APoflUqFN2/eIG/evJDJZLoeDhFRugghEB4eDmtra+jpcX8u5S5sNxFlR2w3ZYbIyEjY29ujf//+6NixY4rrODs7w9PTU/rd0NBQ7fIePXrg7du3OHXqFOLj49GvXz+4urpi+/btAICwsDC0bNkSjo6OWLVqFe7cuYP+/fvD3Nwcrq6u6Ron201E2RHbnT1xw3sW8ubNG9jY2Oh6GERE3+TVq1coVqyYrodBpFVsNxFlZ2w3aZKLiwtcXFzSXMfQ0BBWVlYpXvbgwQMcP34c169fR82aNQEAy5YtQ6tWrTB//nxYW1tj27ZtiIuLw4YNG2BgYIBKlSrB19cXCxcuTPeGd7abiLIztjt74Yb3LCRv3rwAPr+I8uXLp+PREBGlT1hYGGxsbKT3MKLchO0mouyI7SZdOXfuHAoXLoz8+fOjWbNmmDFjBgoWLAgAuHz5MszNzaWN7gDg6OgIPT09XL16FT/++CMuX76MRo0awcDAQFrHyckJc+fOxadPn5A/f/5kfzM2NhaxsbHS70IIAGw3EWUvbHf2xA3vWUjiYW758uXjBwAiynZ4qC7lRmw3EWVnbDdpk7OzMzp27IiSJUvi6dOnGD9+PFxcXHD58mXI5XIEBgaicOHCatdRKBQoUKAAAgMDAQCBgYEoWbKk2jqWlpbSZSlteJ89ezamTp2abDnbTUTZEdudvXDDOxERERERERFlqq5du0o/V6lSBVWrVoWdnR3OnTuH5s2bZ9rfHTduHP744w/p98RvjRIREWU2no2fiIiIiIiIiLSqVKlSKFSoEP777z8AgJWVFd69e6e2jlKpRHBwsHReeCsrKwQFBamtk/h7aueONzQ0lL7dzm+5ExGRNnHDOxERERERERFpVUBAAD5+/IgiRYoAAOrWrYuQkBDcvHlTWsfLywsqlQp16tSR1vH29kZ8fLy0zqlTp1CuXLkUTzNDRESkSzzVDJGGOIzerOshZHs35/XW9RCIiCgXYbu/H9tNRIkiIiKkb68DwPPnz+Hr64sCBQqgQIECmDp1Kn766SdYWVnh6dOnGDNmDEqXLg0nJycAQIUKFeDs7IxBgwZh1apViI+Px9ChQ9G1a1dYW1sDALp3746pU6diwIABGDt2LO7evYslS5Zg0aJFOrnPpH1s9/dju4m0h994JyIiIiIiIqLvcuPGDVSvXh3Vq1cHAPzxxx+oXr06Jk2aBLlcDj8/P7Rr1w5ly5bFgAED4ODgAB8fHxgaGkq3sW3bNpQvXx7NmzdHq1at0KBBA6xZs0a63MzMDCdPnsTz58/h4OCAkSNHYtKkSXB1ddX6/SUiIvoafuOdiIiIiIiIiL5LkyZNIIRI9fITJ0589TYKFCiA7du3p7lO1apV4ePjk+HxERERaRu/8U5EREREREREREREpEHc8E5EREREREREREREpEHc8E5ERERZjre3N9q2bQtra2vIZDIcOHBA7fK+fftCJpOp/XN2dlZbJzg4GD169EC+fPlgbm6OAQMGICIiQm0dPz8/NGzYEEZGRrCxsYGHh0dm3zUiIiIiIiLKBbjhnYiIiLKcyMhI2NvbY8WKFamu4+zsjLdv30r/duzYoXZ5jx49cO/ePZw6dQr//PMPvL291SZfCwsLQ8uWLVG8eHHcvHkT8+bNw5QpU9QmcSMiIiIiIiL6FpxclYiIiLIcFxcXuLi4pLmOoaEhrKysUrzswYMHOH78OK5fv46aNWsCAJYtW4ZWrVph/vz5sLa2xrZt2xAXF4cNGzbAwMAAlSpVgq+vLxYuXKi2gZ6IiIiIiIgoo/iNdyIiIsqWzp07h8KFC6NcuXIYPHgwPn78KF12+fJlmJubSxvdAcDR0RF6enq4evWqtE6jRo1gYGAgrePk5IRHjx7h06dPKf7N2NhYhIWFqf0jIiIiIiIi+hI3vBMREVG24+zsjM2bN+PMmTOYO3cuzp8/DxcXFyQkJAAAAgMDUbhwYbXrKBQKFChQAIGBgdI6lpaWausk/p64zpdmz54NMzMz6Z+NjY2m7xoRERERERHlADzVDBEREWU7Xbt2lX6uUqUKqlatCjs7O5w7dw7NmzfPtL87btw4/PHHH9LvYWFh3PhOREREREREyfAb70RERJTtlSpVCoUKFcJ///0HALCyssK7d+/U1lEqlQgODpbOC29lZYWgoCC1dRJ/T+3c8YaGhsiXL5/aPyIiIiIiIqIvccM7ERERZXsBAQH4+PEjihQpAgCoW7cuQkJCcPPmTWkdLy8vqFQq1KlTR1rH29sb8fHx0jqnTp1CuXLlkD9/fu3eASIiIiIiIspRuOGdiIiIspyIiAj4+vrC19cXAPD8+XP4+vrC398fERERGD16NK5cuYIXL17gzJkzaN++PUqXLg0nJycAQIUKFeDs7IxBgwbh2rVruHjxIoYOHYquXbvC2toaANC9e3cYGBhgwIABuHfvHnbt2oUlS5aonUqGiIiIiIiI6FtwwzsRERFlOTdu3ED16tVRvXp1AMAff/yB6tWrY9KkSZDL5fDz80O7du1QtmxZDBgwAA4ODvDx8YGhoaF0G9u2bUP58uXRvHlztGrVCg0aNMCaNWuky83MzHDy5Ek8f/4cDg4OGDlyJCZNmgRXV1et318iIiIiIiLKWTi5KhEREWU5TZo0gRAi1ctPnDjx1dsoUKAAtm/fnuY6VatWhY+PT4bHR0RERERERJQWfuOdiIiIiIiIiIiIiEiDuOGdiIiIiIiIiIiIiEiDuOGdiIiIiIiIiIiIiEiDuOGdiIiIiIiIiIiIiEiDuOGdiIiIiIiIiIiIiEiDuOH9/71+/Ro9e/ZEwYIFkSdPHlSpUgU3btyQLhdCYNKkSShSpAjy5MkDR0dHPHnyRO02goOD0aNHD+TLlw/m5uYYMGAAIiIitH1XiIiIiIiIiIiIiEiHuOEdwKdPn1C/fn3o6+vj2LFjuH//PhYsWID8+fNL63h4eGDp0qVYtWoVrl69ChMTEzg5OSEmJkZap0ePHrh37x5OnTqFf/75B97e3nB1ddXFXSIiIiIiIiIiIiIiHVHoegBZwdy5c2FjYwNPT09pWcmSJaWfhRBYvHgxJkyYgPbt2wMANm/eDEtLSxw4cABdu3bFgwcPcPz4cVy/fh01a9YEACxbtgytWrXC/PnzYW1trd07RUREREREREREREQ6wW+8Azh06BBq1qyJn3/+GYULF0b16tWxdu1a6fLnz58jMDAQjo6O0jIzMzPUqVMHly9fBgBcvnwZ5ubm0kZ3AHB0dISenh6uXr2a4t+NjY1FWFiY2j8iIiIiIiIiIiIiyt644R3As2fP8Ndff6FMmTI4ceIEBg8ejOHDh2PTpk0AgMDAQACApaWl2vUsLS2lywIDA1G4cGG1ACQ8JgAA0IJJREFUyxUKBQoUKCCt86XZs2fDzMxM+mdjY6Ppu0ZEREREREREREREWsYN7wBUKhVq1KiBWbNmoXr16nB1dcWgQYOwatWqTP2748aNQ2hoqPTv1atXmfr3iIiIiIiIiIiIiCjzccM7gCJFiqBixYpqyypUqAB/f38AgJWVFQAgKChIbZ2goCDpMisrK7x7907tcqVSieDgYGmdLxkaGiJfvnxq/4iIiIiIiIiIiIgoe+OGdwD169fHo0eP1JY9fvwYxYsXB/B5olUrKyucOXNGujwsLAxXr15F3bp1AQB169ZFSEgIbt68Ka3j5eUFlUqFOnXqaOFeEBEREREREREREVFWoND1ALKC33//HfXq1cOsWbPQuXNnXLt2DWvWrMGaNWsAADKZDCNGjMCMGTNQpkwZlCxZEhMnToS1tTU6dOgA4PM35J2dnaVT1MTHx2Po0KHo2rUrrK2tdXjviIiIiIiIiIiIiEibuOEdQK1atbB//36MGzcO06ZNQ8mSJbF48WL06NFDWmfMmDGIjIyEq6srQkJC0KBBAxw/fhxGRkbSOtu2bcPQoUPRvHlz6Onp4aeffsLSpUt1cZeIiIiIiIiIiIiISEe44f3/tWnTBm3atEn1cplMhmnTpmHatGmprlOgQAFs3749M4ZHRERERERERERERNkEz/FORERERERERERERKRB3PBORERERERERN/F29sbbdu2hbW1NWQyGQ4cOKB2uRACkyZNQpEiRZAnTx44OjriyZMnausEBwejR48eyJcvH8zNzTFgwABERESorePn54eGDRvCyMgINjY28PDwyOy7RkRE9E244Z2IiIiIiIiIvktkZCTs7e2xYsWKFC/38PDA0qVLsWrVKly9ehUmJiZwcnJCTEyMtE6PHj1w7949nDp1Cv/88w+8vb3h6uoqXR4WFoaWLVuiePHiuHnzJubNm4cpU6ZgzZo1mX7/iIiIMorneCciIiIiIiKi7+Li4gIXF5cULxNCYPHixZgwYQLat28PANi8eTMsLS1x4MABdO3aFQ8ePMDx48dx/fp11KxZEwCwbNkytGrVCvPnz4e1tTW2bduGuLg4bNiwAQYGBqhUqRJ8fX2xcOFCtQ30REREWQG/8U5EREREREREmeb58+cIDAyEo6OjtMzMzAx16tTB5cuXAQCXL1+Gubm5tNEdABwdHaGnp4erV69K6zRq1AgGBgbSOk5OTnj06BE+ffqU4t+OjY1FWFiY2j8iIiJt4IZ3IiIiIiIiIso0gYGBAABLS0u15f/H3n3HNXE/fhx/JySAiuBCcIFb3HUCrjoBa92j7r1x9+vAUXdVrHtPxD2rte5Z98S9V90CyhZlJPn8/vDHlciQICQkvJ+Phw/hLokfQnKv8y53Z2dnJ83z9/dH3rx5teYrFArkypVL6zaJPUb8f+NrM2bMgI2NjfSnUKFC3/8DERERpQA3vBMRERERERGRSfLy8kJYWJj059WrV4YeEhERZRJGveG9aNGiCAoKSjA9NDQURYsWNcCIiIiIMi92mYiIyLjoq9329vYAgICAAK3pAQEB0jx7e3sEBgZqzVepVAgODta6TWKPEf/f+JqFhQWsra21/hAREemDUW94f/78OdRqdYLp0dHRePPmjQFGRERElHmxy0RERMZFX+0uUqQI7O3tcfz4cWlaeHg4Ll26BFdXVwCAq6srQkND4efnJ93mxIkT0Gg0cHZ2lm5z+vRpxMbGSrc5evQoSpUqhZw5c6bZeImIiNKCwtADSI29e/dKXx8+fBg2NjbS92q1GsePH0fhwoUNMDIiIqLMh10mIiIyLunR7o8fP+LJkyfS9//++y9u3LiBXLlywcHBAcOGDcO0adNQokQJFClSBBMmTED+/PnRokULAEDp0qXh4eGBPn36YPny5YiNjcWgQYPQvn175M+fHwDQsWNHTJ48Gb169cLo0aNx584dLFiwAPPmzUv9k0FERJROjHLDe1yYZTIZunXrpjVPqVSicOHCmDNnjgFGRkRElPmkR5dPnz6N2bNnw8/PD+/evcPu3bulfwcAhBCYOHEiVq1ahdDQUNSsWRPLli1DiRIlpNsEBwdj8ODB+PvvvyGXy9G6dWssWLAAVlZW0m1u3boFT09PXLlyBba2thg8eDBGjRql+5NARERkRNKj3VevXkW9evWk70eMGAEA6NatG9atW4dRo0YhMjISffv2RWhoKGrVqoVDhw7B0tJSus+mTZswaNAgNGjQQGr3woULpfk2NjY4cuQIPD09UaVKFeTJkwe//fYb+vbtq+tTQERElO6McsO7RqMB8OVwtStXriBPnjwGHhEREVHmlR5djoyMRMWKFdGzZ0+0atUqwXxvb28sXLgQvr6+0qfm3N3dce/ePek/8J06dcK7d+9w9OhRxMbGokePHujbty82b94M4Msh7m5ubmjYsCGWL1+O27dvo2fPnsiRIwf/A09ERCYtPdpdt25dCCGSnC+TyTBlyhRMmTIlydvkypVL6nRSKlSogDNnzqR6nERERPpilBve4/z777+GHgIRERH9v7TscuPGjdG4ceNE5wkhMH/+fIwfPx7NmzcHAKxfvx52dnbYs2cP2rdvj/v37+PQoUO4cuUKqlatCgBYtGgRfvrpJ/zxxx/Inz8/Nm3ahJiYGKxduxbm5uYoW7Ysbty4gblz53LDOxERZQr8PzUREVH6MeoN7wBw/PhxHD9+HIGBgdJe+zhr16410KiIiIgyJ310+d9//4W/vz8aNmwoTbOxsYGzszMuXLiA9u3b48KFC8iRI4e00R0AGjZsCLlcjkuXLqFly5a4cOEC6tSpA3Nzc+k27u7umDVrFkJCQhK9SFt0dDSio6Ol78PDw9PkZyIiIjIU/p+aiIgofcgNPYDvMXnyZLi5ueH48eP48OEDQkJCtP4QERGR/uiry/7+/gAAOzs7rel2dnbSPH9/f+TNm1drvkKhQK5cubRuk9hjxP83vjZjxgzY2NhIfwoVKvT9PxAREZGB8P/URERE6ceoP/G+fPlyrFu3Dl26dDH0UIiIiDK9zNBlLy8v6WJxwJdPvHPjOxERGavM0G4iIiJDMepPvMfExKBGjRqGHgYRERFBf122t7cHAAQEBGhNDwgIkObZ29sjMDBQa75KpUJwcLDWbRJ7jPj/xtcsLCxgbW2t9YeIiMhY8f/URERE6ceoN7z37t37m1c8JyIiIv3QV5eLFCkCe3t7HD9+XJoWHh6OS5cuwdXVFQDg6uqK0NBQ+Pn5Sbc5ceIENBoNnJ2dpducPn0asbGx0m2OHj2KUqVKJXp+dyIiIlPD/1MTERGlH6M+1UxUVBRWrlyJY8eOoUKFClAqlVrz586da6CRERERZT5p2eWPHz/iyZMn0vf//vsvbty4gVy5csHBwQHDhg3DtGnTUKJECRQpUgQTJkxA/vz50aJFCwBA6dKl4eHhgT59+mD58uWIjY3FoEGD0L59e+TPnx8A0LFjR0yePBm9evXC6NGjcefOHSxYsADz5s37/ieDiIjICPD/1EREROnHqDe837p1Cz/88AMA4M6dO1rzZDKZAUZERESUeaVll69evYp69epJ38edV71bt25Yt24dRo0ahcjISPTt2xehoaGoVasWDh06BEtLS+k+mzZtwqBBg9CgQQPI5XK0bt0aCxculObb2NjgyJEj8PT0RJUqVZAnTx789ttv6Nu3r64/OhERkVHi/6mJiIjSj1FveD958qShh0BERET/Ly27XLduXQghkpwvk8kwZcoUTJkyJcnb5MqV65uHz1eoUAFnzpxJ9TiJiIiMGf9PTURElH6M+hzv6WXmzJmQyWQYNmyYNC0qKgqenp7InTs3rKys0Lp16wQXZHv58iWaNGmCrFmzIm/evBg5ciRUKpWeR09EREREREREREREhmTUn3ivV69esoe/nThxQufHvHLlClasWIEKFSpoTR8+fDj279+PHTt2wMbGBoMGDUKrVq1w7tw5AIBarUaTJk1gb2+P8+fP4927d+jatSuUSiV+//13ncdBRERkbNKjy0RERJR+2G4iIqL0Y9Qb3uPORRcnNjYWN27cwJ07d9CtWzedH+/jx4/o1KkTVq1ahWnTpknTw8LCsGbNGmzevBn169cHAPj4+KB06dK4ePEiXFxccOTIEdy7dw/Hjh2DnZ0dfvjhB0ydOhWjR4/GpEmTYG5unuDfi46ORnR0tPR9eHi4zmMmIiLKKNK6y0RERJS+2G4iIqL0Y9Qb3ufNm5fo9EmTJuHjx486P56npyeaNGmChg0bam149/PzQ2xsLBo2bChNc3JygoODAy5cuAAXFxdcuHAB5cuXh52dnXQbd3d3DBgwAHfv3kWlSpUS/HszZszA5MmTdR4nERFRRpTWXSYiIqL0xXYTERGlH5M8x3vnzp2xdu1ane6zdetWXLt2DTNmzEgwz9/fH+bm5siRI4fWdDs7O/j7+0u3ib/RPW5+3LzEeHl5ISwsTPrz6tUrncZMRERkDFLTZSIiIjIctpuIiOj7GfUn3pNy4cIFWFpapvj2r169wtChQ3H06FGd7ve9LCwsYGFhobd/j4iIyBB07TIREREZFttNRET0/Yx6w3urVq20vhdC4N27d7h69SomTJiQ4sfx8/NDYGAgKleuLE1Tq9U4ffo0Fi9ejMOHDyMmJgahoaFan3oPCAiAvb09AMDe3h6XL1/WetyAgABpHhERkalLqy4TERGRfrDdRERE6ceoN7zb2NhofS+Xy1GqVClMmTIFbm5uKX6cBg0a4Pbt21rTevToAScnJ4wePRqFChWCUqnE8ePH0bp1awDAw4cP8fLlS7i6ugIAXF1dMX36dAQGBiJv3rwAgKNHj8La2hplypT5nh+TiIjIKKRVl4mIiEg/2G4iIqL0Y9Qb3n18fNLkcbJnz45y5cppTcuWLRty584tTe/VqxdGjBiBXLlywdraGoMHD4arqytcXFwAAG5ubihTpgy6dOkCb29v+Pv7Y/z48fD09OTpZIiIKFNIqy4TERGRfrDdRERE6ceoN7zH8fPzw/379wEAZcuWRaVKldL835g3bx7kcjlat26N6OhouLu7Y+nSpdJ8MzMz7Nu3DwMGDICrqyuyZcuGbt26YcqUKWk+FiIiooxMH10mIiKitMN2ExERpT2j3vAeGBiI9u3b459//pHOvR4aGop69eph69atsLW1TfVj//PPP1rfW1paYsmSJViyZEmS93F0dMSBAwdS/W8SEREZs/TsMhEREaU9tpuIiCj9yA09gO8xePBgRERE4O7duwgODkZwcDDu3LmD8PBwDBkyxNDDIyIiylTYZSIiIuPCdhMREaUfo/7E+6FDh3Ds2DGULl1amlamTBksWbKEF4IhIiLSM3aZiIjIuLDdRERE6ceoP/Gu0WigVCoTTFcqldBoNAYYERERUebFLhMRERkXtpuIiCj9GPWG9/r162Po0KF4+/atNO3NmzcYPnw4GjRoYMCRERERZT7sMhERkXFhu4mIiNKPUW94X7x4McLDw1G4cGEUK1YMxYoVQ5EiRRAeHo5FixYZenhERESZCrtMRERkXNhuIiKi9GPU53gvVKgQrl27hmPHjuHBgwcAgNKlS6Nhw4YGHhkREVHmwy4TEREZF7abiIgo/RjlJ95PnDiBMmXKIDw8HDKZDI0aNcLgwYMxePBgVKtWDWXLlsWZM2cMPUwiIqJMgV0mIiIyLmw3ERFR+jPKDe/z589Hnz59YG1tnWCejY0N+vXrh7lz5xpgZERERJkPu0xERGRc2G4iIqL0Z5Qb3m/evAkPD48k57u5ucHPz0+PIyIiIsq82GUiIiLjwnYTERGlP6Pc8B4QEAClUpnkfIVCgffv3+txRERERJkXu0xERGRc2G4iIqL0Z5Qb3gsUKIA7d+4kOf/WrVvIly+fHkdERESUebHLRERExoXtJiIiSn8KQw8gNX766SdMmDABHh4esLS01Jr3+fNnTJw4ET///LOBRkdERJS5sMspU2XkekMPwej5ze5q6CEQEZkEQ7R70qRJmDx5sta0UqVK4cGDBwCAqKgo/Prrr9i6dSuio6Ph7u6OpUuXws7OTrr9y5cvMWDAAJw8eRJWVlbo1q0bZsyYAYXCKDdtEBGRiTPKOo0fPx5//vknSpYsiUGDBqFUqVIAgAcPHmDJkiVQq9UYN26cgUdJRESUObDLRERExsVQ7S5btiyOHTsmfR9/g/nw4cOxf/9+7NixAzY2Nhg0aBBatWqFc+fOAQDUajWaNGkCe3t7nD9/Hu/evUPXrl2hVCrx+++/p/lYiYiIvpdRbni3s7PD+fPnMWDAAHh5eUEIAQCQyWRwd3fHkiVLtPaKExERUfphl4mIiIyLodqtUChgb2+fYHpYWBjWrFmDzZs3o379+gAAHx8flC5dGhcvXoSLiwuOHDmCe/fu4dixY7Czs8MPP/yAqVOnYvTo0Zg0aRLMzc0T/Tejo6MRHR0tfR8eHp7mPxcREVFijHLDOwA4OjriwIEDCAkJwZMnTyCEQIkSJZAzZ05DD42IiCjTYZeJiIiMiyHa/fjxY+TPnx+WlpZwdXXFjBkz4ODgAD8/P8TGxqJhw4bSbZ2cnODg4IALFy7AxcUFFy5cQPny5bV2CLi7u2PAgAG4e/cuKlWqlOi/OWPGjASnuCEiItIHo7y4anw5c+ZEtWrVUL16df7nnoiIyMD01eVJkyZBJpNp/XFycpLmR0VFwdPTE7lz54aVlRVat26NgIAArcd4+fIlmjRpgqxZsyJv3rwYOXIkVCpVuo2ZiIgoI9JXu52dnbFu3TocOnQIy5Ytw7///ovatWsjIiIC/v7+MDc3R44cObTuY2dnB39/fwCAv79/gk/hx30fd5vEeHl5ISwsTPrz6tWrtP3BiIiIkmC0n3gnIiKizI3niSUiIjIejRs3lr6uUKECnJ2d4ejoiO3btyNLlizp9u9aWFjAwsIi3R6fiIgoKUb/iXciIiLKnOLOExv3J0+ePAD+O0/s3LlzUb9+fVSpUgU+Pj44f/48Ll68CADSeWI3btyIH374AY0bN8bUqVOxZMkSxMTEJPlvRkdHIzw8XOsPERER6S5HjhwoWbIknjx5Ant7e8TExCA0NFTrNgEBAdI54e3t7RMcvRb3fWLnjSciIjI0fuKdiIiIjBLPE0tERGS8Pn78iKdPn6JLly6oUqUKlEoljh8/jtatWwMAHj58iJcvX8LV1RUA4OrqiunTpyMwMBB58+YFABw9ehTW1tYoU6ZMuoyxysj16fK4mYnf7K6GHgIRkcHwE+9ERERkdHieWCIiIuPyv//9D6dOncLz589x/vx5tGzZEmZmZujQoQNsbGzQq1cvjBgxAidPnoSfnx969OgBV1dXuLi4AADc3NxQpkwZdOnSBTdv3sThw4cxfvx4eHp68lQyRESUIXHDO758eq1atWrInj078ubNixYtWuDhw4dat+FF2oiIiDKOxo0bo23btqhQoQLc3d1x4MABhIaGYvv27en671pYWMDa2lrrDxEREX3b69ev0aFDB5QqVQrt2rVD7ty5cfHiRdja2gIA5s2bh59//hmtW7dGnTp1YG9vjz///FO6v5mZGfbt2wczMzO4urqic+fO6Nq1K6ZMmWKoH4mIiChZPNUMgFOnTsHT0xPVqlWDSqXC2LFj4ebmhnv37iFbtmwAMt5F2njI2/fjIW9ERKYj/nliGzVqJJ0nNv6n3r8+T+zly5e1HoPniSUiIko/W7duTXa+paUllixZgiVLliR5G0dHRxw4cCCth0ZERJQu+Il3AIcOHUL37t1RtmxZVKxYEevWrcPLly/h5+cHIH0v0kZERETfL+48sfny5dM6T2ycxM4Te/v2bQQGBkq3Se/zxBIREREREVHmwQ3viQgLCwMA5MqVCwC+eZE2AElepC08PBx3795N9N+Jjo5GeHi41h8iIiL6Np4nloiIiIiIiDIynmrmKxqNBsOGDUPNmjVRrlw5AEi3i7TNmDEDkydPTuOfgIiIyPTFnSc2KCgItra2qFWrVoLzxMrlcrRu3RrR0dFwd3fH0qVLpfvHnSd2wIABcHV1RbZs2dCtWzeeJ5aIiIiIiIjSBDe8f8XT0xN37tzB2bNn0/3f8vLywogRI6Tvw8PDUahQoXT/d4mIiIwdzxNLREREREREGRk3vMczaNAg7Nu3D6dPn0bBggWl6fb29ulykTYLCwsezk5ERERERERERERkYniOdwBCCAwaNAi7d+/GiRMnUKRIEa35vEgbEREREREREREREaUUP/GOL6eX2bx5M/766y9kz55dOie7jY0NsmTJonWRtly5csHa2hqDBw9O8iJt3t7e8Pf350XaiIiIiIiIiIiIiDIhbngHsGzZMgBA3bp1tab7+Pige/fuAHiRNiIiIiIiIiIiIiJKGW54x5dTzXwLL9JGRERERERERERERCnBc7wTEREREREREREREaUhbngnIiIiIiIiIiIiIkpD3PBORERERERERERERJSGuOGdiIiIiIiIiIiIiCgNccM7EREREREREREREVEa4oZ3IiIiIiIiIiIiIqI0xA3vRERERERERERERERpiBveiYiIiIiIiIiIiIjSEDe8ExERERERERERERGlIW54JyIiIiIiIiIiIiJKQ9zwTkRERERERERERESUhrjhnYiIiIiIiIiIiIgoDXHDOxERERERERERERFRGuKGdyIiIiIiIiIiIiKiNMQN70REREREREREREREaYgb3omIiIiIiIiIiIiI0hA3vBMRERERERERERERpSFueCciIiIiIiIiIiIiSkMKQw+AiCi9VBm53tBDMHp+s7saeghEREREREREREaHG96JiIiIiIiIiIhIZ/zA2/fjB95MF081Q0RERERERERERESUhrjhPY0tWbIEhQsXhqWlJZydnXH58mVDD4mIiIiSwXYTEREZF7abiIiMAU81k4a2bduGESNGYPny5XB2dsb8+fPh7u6Ohw8fIm/evIYeHhEREX2F7SbKWHi4+vfj4epk6thuIiIyFtzwnobmzp2LPn36oEePHgCA5cuXY//+/Vi7di3GjBmT4PbR0dGIjo6Wvg8LCwMAhIeHf/PfUkd/TqNRZ14peZ51wd/J9+PvJONJye8k7jZCiPQeDlGaY7uNCzuR8fB3kvGw3WTq2G7jwk5kPPydZDxst+mSCf7G0kRMTAyyZs2KnTt3okWLFtL0bt26ITQ0FH/99VeC+0yaNAmTJ0/W4yiJiNLPq1evULBgQUMPgyjF2G4iyuzYbjI2bDcRZXZst3HhJ97TyIcPH6BWq2FnZ6c13c7ODg8ePEj0Pl5eXhgxYoT0vUajQXBwMHLnzg2ZTJau401P4eHhKFSoEF69egVra2tDD4fA30lGZSq/FyEEIiIikD9/fkMPhUgnbPd/TGV5ZEr4O8mYTOX3wnaTsWK7/2MqyyNTwt9JxmQqvxe22zhxw7sBWVhYwMLCQmtajhw5DDOYdGBtbW3UCzVTxN9JxmQKvxcbGxtDD4FIL9hu0jf+TjImU/i9sN2UWbDdpG/8nWRMpvB7YbuNj9zQAzAVefLkgZmZGQICArSmBwQEwN7e3kCjIiIioqSw3URERMaF7SYiImPCDe9pxNzcHFWqVMHx48elaRqNBsePH4erq6sBR0ZERESJYbuJiIiMC9tNRETGhKeaSUMjRoxAt27dULVqVVSvXh3z589HZGSkdLX1zMLCwgITJ05McDgfGQ5/JxkTfy9Ehsd2f8HlUcbD30nGxN8LkeGx3V9weZTx8HeSMfH3QoYkE0IIQw/ClCxevBizZ8+Gv78/fvjhByxcuBDOzs6GHhYRERElge0mIiIyLmw3EREZA254JyIiIiIiIiIiIiJKQzzHOxERERERERERERFRGuKGdyIiIiIiIiIiIiKiNMQN70REREREREREREREaYgb3omIiDI4Xo6FiIjIuLDdRERExiU92s0N70SULvifDaK0I5PJAPB9RUTpi8sYorTDdhORPnAZQ5R20qPdijR7JCKi/xcSEgIrKysolUpDDyXD6datG+zt7VGwYEEMHjwYQghp4U70tT59+uD9+/coVaoURowYATs7O0MPiYhMFNudNLabdMF2E5G+sN1JY7tJF+nZbn7inYjS1MKFC1GpUiV06NABq1evxqdPnww9pAyladOmKFSoEGbPno2GDRtizpw5+Pjxo6GHRRnU+PHj0aRJEzx8+BDly5fHlClTcP36dUMPi4hMDNudPLabdMF2E5E+sN3JY7tJF+nZbpngcSlElMbOnz+PGzduwMvLCw0aNMBPP/2E3r17G3pYGUp4eDgmTpwIPz8/ZM2aFVu2bEHOnDkNPSzKwBYsWIC//voLcrkcI0eOhLu7u6GHREQmhO3+NrabdMV2E1F6Yru/je0mXaV1u7nhnYjSjFqthpmZmfT9w4cP8fvvv+Phw4f48ccfMWvWLAOOzrBevHiBwMBAVKxYEebm5gCA2NhY/P3335g7dy6io6Nx9OhR5MiRw7ADpQzh3r17CAgIQJYsWeDi4iJNP378OFavXo2HDx9i9uzZaNCggQFHSUSmgO1OGttNumC7iUhf2O6ksd2kC320m6eaIaI0Ez/+AFCqVCl4e3ujSZMmOHz4MH777TcDjcywtm3bhi5duqB///5YunQpAECj0UCpVKJFixaYOnUqLCwsMGjQIHz+/NnAoyVD27x5M3r06IGFCxfixIkTAL68XgCgQYMGGDZsGIoXL47ly5fj+fPnBhwpEZkCtjtxbDfpgu0mIn1iuxPHdpMu9NVuXlyViL7b8+fP8e+//+LKlSsoXrw4qlWrhkKFCgEA7Ozs4OnpiZiYGJw+fRpHjx5Fo0aNDDxi/fHx8cGwYcOwePFi1KpVC0WKFAEAyOVyCCEgl8vx448/onv37li/fj1OnDiBJk2a8OIvmdS6devg6emJ1atXo27dusiXLx+A/14vMpkMzs7O6NixIyZMmICLFy+icOHC0Gg0kMu5L52IUo7tThrbTbpgu4lIX9jupLHdpAu9tlsQEX2Hbdu2idq1a4vixYuLggULCplMJqpXry5WrVqldbtXr16JOnXqiN69extopPp34cIFUbhwYbFu3Tqt6RqNJsHX0dHR4qeffhKtW7fW6xgp47h+/booUaKEWLt2rdb0xF4vQggxcuRIUbRoUREdHa23MRKRaWC7k8Z2ky7YbiLSF7Y7aWw36ULf7eYudiJKtVWrVqFPnz5o164ddu7cicePH+P48eOIiYmBt7e3dHgXABQsWBCzZ8/G9u3bcerUKQOOWn+uX78OOzs7eHh4aE2Pv0c97mtzc3MsWrQIt2/fxsWLF/U6TsoYnj17BnNzc9SvX186xA1I/PUCfLnyetGiRXHhwgW9jpOIjBvbnTy2m3TBdhORPrDdyWO7SRf6bjc3vBNRqvj4+GDAgAHYvHkzBg0ahIoVK8LS0hL16tXD+vXrYWtri6VLl8LPzw/AlwvAVK9eHe3atcO9e/cAAMLEr+188uRJmJubw87OLsnbPH36FDExMQCAXLlyoXz58vj06ZO+hkgZyKVLlxAREQFHR8ckD197+PChFPysWbMiR44cuH//vj6HSURGjO3+NrabdMF2E1F6Y7u/je0mXei73dzwTkQ6O3/+PHr37o3+/fujSZMmAL5chEIIASEEypcvj0WLFuHBgwc4evQogP8uAFOhQgVpBcDUzqX29QpN8eLF8eLFC/z777+J3l6tVuPXX3/F/PnzAQA5cuSAp6cn1Gp1eg+VMoC410vcXvb8+fMjIiICN2/eTHTlWAiBtWvXYu/evRBCQKFQYP78+Shbtqxex01ExontThzbTbpgu4lIn9juxLHdpAtDt5sb3olIZwULFkSDBg3w5MkTbNiwAYD2RShiY2NRuXJlNGvWDBcvXoRarYZKpQIADB48GL179zbk8NPN1+F2cnLCq1evsHfvXkRGRia4fVBQEMzMzODk5CRNq1evXqa6CE5mFveaiHvdNGjQAFFRUVi5cqX0aQzgvxWF0NBQPH78GMWLF5dWngsUKIDatWvreeREZIzY7sSx3aQLtpuI9IntThzbTbowdLu54Z2IUuzTp08ICQmBg4MDVq1aBXNzc6xduxYbN24E8GUlQKPRQKlUQqVS4d27dyhUqBDMzMygUCikx6lYsSIA0zrkbe/evejduze6dOmCRYsWAQC6du2Kbt26Yfz48diwYQMCAgIAfNnTGhwcjF69eiEsLEz69AJlHjt37kTXrl1Ru3ZtzJo1C2/fvkW5cuUwZcoUrFixAmPGjMHbt28BfPmESmBgIDp37oygoCB0797dsIMnIqPCdieN7SZdsN1EpC9sd9LYbtJFRmi34ts3ISIC9uzZgz179uDmzZvYvHkzSpcujUWLFmHw4MFYs2YNAKBz587SObKePn2KrFmz4scffwQAaa98fKZyyNvKlSvxv//9D507d8aTJ0/g6+uLAgUKoFWrVpgxYwYiIyMxcOBA7Nq1C/Xr18ebN29w584dhIaG4sqVKzAzM4NarZYOCyTTtnLlSgwfPhwjR47Ew4cPsWPHDhQuXBidO3dGly5dEBERgd9//x1Hjx5FpUqVEB0djVevXiEmJgYXL17k64WIUoztThrbTbpgu4lIX9jupLHdpIsM025BRPQNa9asEfb29mLx4sVi+/btQgghNBqNEEKI58+fi6ZNm4q6deuK9evXS/dp0qSJaNiwoVCpVAYZs76sXr1amJmZiT///FMIIcT79+9FhQoVxNatW7V+9j/++EPUqVNH2NnZicaNG4uxY8eK2NhYIYSQ/ibTt2rVKqFUKsWePXukaQ0aNBDTpk0TYWFhIiwsTAghxLFjx0SLFi2Eq6uraN++vZg1axZfL0SkE7Y7aWw36YLtJiJ9YbuTxnaTLjJSu2VCmNAxJ0SU5g4cOIBOnTph6dKl6NChgzRd/P8FXeRyOV68eIHBgwcjMjISPXv2xJYtW/Ds2TPcvHkTSqXSZPcq79y5E+3atcOaNWvQo0cPaXq1atWgUCgQFhaGQoUKYdmyZShatChiYmIQFRUFa2tr6bam+txQQidPnkSDBg2watUq9OrVS5peo0YNfP78GUFBQbCwsMCyZcvQsGFDxMbGwszMTOtK63y9EFFKsN1JY7tJF2w3EekL2500tpt0kdHazXO8E1GiNBoNNBoNdu7cifbt26Nt27Za82UymXRuOUdHRyxatAjZs2dHjx498Pz5cyn+KpXKZAOXJ08eAMDNmzcRGhoKAGjTpg3ev3+Pnj17om/fvnj27BnatWsHADA3N9eKPwCTfW4ooSJFiqBIkSLYtGkTgoKCAABt27bFu3fvMH36dEyZMgUlS5ZEq1at8PDhQyiVSq34A3y9EFHy2O5vY7tJF2w3EaU3tvvb2G7SRUZrN8/xTkSJksvliI2NxenTp9GnTx8oFIoE54uL2/MeGhoKR0dHzJ07F2XKlMGUKVOgUCigUqm0Lu5iSjQaDerWrYsjR47Aw8MDarUaL1++xLNnz3Dq1Ck4OjoCAPLly4cOHTrgn3/+Qd26dQ07aDKowoUL4+TJk2jYsCFatWqF7Nmz49WrVzh58iQKFy4MALC3t8fJkydx//59lCpVyrADJiKjw3Ynj+0mXbHdRJTe2O7ksd2kq4zWbtN8ZxJRmjAzM4NGo8H79+8BJLwoi0wmw4cPH9C8eXOsWbMGTk5O+P333wHApOOvVqulTx00bNgQBw4ckK6Qfv78eTg6OkorS7lz50bJkiWRN29eA4+aDEWj0UAul0MIAQcHBxw7dgytW7fGmTNncP78eRQuXFg6lM3BwQGOjo7IkSOHoYdNREaK7U4c2026YLuJSJ/Y7sSx3aSLjNpunmqGiJIUFRWFH374AUePHsXVq1el6RqNRvr6w4cPsLKyShB7U4z/3bt3AXxZMZLJZBBCQK1Ww83NDSdOnIAQAj4+Pnjz5o20srRgwQIUK1YMTk5Ohhw6GYCfnx+ePXsmHbYmk8mgUqng4OCAXbt2wcnJCb/++itevnwpHco2cuRI5MuXD3Xq1DHk0InIiLHd2thu0gXbTUSGwHZrY7tJFxm+3WlyiVYiMgnnzp0T69atEytXrhTBwcFCCCGOHj0qzMzMRLt27cTNmze1bh8RESFatWolWrVqJV1t3VTt3LlTyGQy4eHhIXx9fcW9e/cS3Obw4cPCzMxMDBgwQLx9+1b89NNPomTJkiImJkYIIYRardb3sMlAjh49KmQymciVK5eYP3++OHDgQILbvHjxQpQsWVLUrFlTvHr1SjRp0kTr9aJSqfQ9bCIyQmx30thu0gXbTUT6wnYnje0mXRhDu2VCCJH+m/eJKKNbs2YNJk6ciDx58uDTp09wdHTErl27YG1tjbVr16J3796oW7cu2rVrh8aNG+P8+fNYs2YNAgMDce3aNSgUCunQHlN0+PBheHt7w9HREQqFArt374aXlxeqVq2qtZf00KFDaN68OWJjY1GuXDn4+flJF7sxxU8jUOKuXbuGuXPnolKlSnj06BHOnz+PkiVLYuDAgahWrZp0sZ+XL1/Czc0Njx49QunSpXHjxg2+Xogoxdju5LHdpAu2m4j0ge1OHttNujCKdqfrZn0iMgorVqwQCoVC7NixQ3z48EFs3bpVlCpVSrx580a6zd9//y3Kli0rLCwshEwmE+XLlxcdOnQw6U/4xP80wYMHD0Tz5s3F8ePHhRBCrFmzRrRv315UrVpV9OvXT1y6dEmEhoYKIYQ4cuSI+PHHH6XnJjY2Vv+DJ4MKDAwU1apVE8uWLRNCfHn9dO3aVbi5uQkXFxdx5MgR8eTJEyGEEM+ePRMDBw7k64WIdMJ2J47tptRiu4kovbHdiWO7KbWMod38xDtRJrdx40Z07doVO3fuRKtWrQAAISEhcHV1RYsWLfDvv/+ia9euaNKkCT58+ICPHz/i1atXKFGiBOzs7KTzZ5naXuW4i27EN3r0aBw6dAinT5+GjY0NXr16hcqVKyM2NhZly5aFTCbDwIED0bFjR+k+pvjcUELPnj1D0aJFAUC6wM/+/fsxcuRI+Pr6olq1aoiOjkbhwoWhUChgZWWFXLlyoXr16vD29oZSqQTA1wsRpQzbnTi2m3TBdhORPrHdiWO7SRfG2G7TPDaFiFJEpVJh5cqVKFiwIHLmzClN7969Oz5+/IgXL17g3bt3aN68OXx9fZEnTx4ULlwYtWvXhr29PWQyGTQajckFbtasWZg2bRqALwvzuIvaDB06FHZ2drh16xbUajWaNm2KKlWq4P79+/Dy8oKtrS2WLVuG+PszTe25oYTWrFmDNWvWAPiy4hh3AaAffvgBRYsWRVBQEADA2dkZpUqVwosXL7B69Wq4u7vj2rVrWiuafL0Q0bew3Ylju0kXbDcR6RPbnTi2m3RhrO3mJ96JMrng4GC0atUKGo0GkydPxuLFi/H48WP89ddfKFSoEBQKBZo1a4a7d+/i1q1byJYtm6GHnK7inoc3b95g9erVWvNiY2PRrVs3aeUoZ86c2LJlC/LlyyfdJm6va9zfZPoWLVqEFStW4Pbt2wl+9xMnTsSaNWtgZWUFe3t7bN26Ffb29gkew5TP00hEaY/t1sZ2k67YbiLSN7ZbG9tNujLWdnNNgSiTib+vTaVSIVeuXPjzzz+h0WjQsmVLXLt2DXv27EGRIkWkBVK5cuWklQFTJ5fL0alTJxw+fBh///23NF2j0UCpVGL69Ok4e/YslEol9u7dK8U/7nll/DOffv36wc7ODqtWrQIA6RMpADBq1CjY29sjZ86c2L59e6LxB8D/uBNRstju5LHdpCu2m4jSG9udPLabdGWs7ebaAlEmo1KppK8VCgViYmKQK1cu7Nu3D9WqVUOuXLnw+PFjqFQqyOVyqNVq+Pn5oXjx4rCwsDDgyPVDo9GgUKFCaNy4MQ4fPoz3798D+LKA1mg0sLOzQ9OmTVGpUiVYW1tLC/r4wWf8M5+SJUti3759+PDhA4D/gm5hYYFq1arB3NwcefPmBaC9Ek5ElBJsd/LYbkoNtpuI0hPbnTy2m1LDGNvNDe9EmcjatWtRuXJl7Nq1C1euXAEAmJubAwBy5MiBbdu2IUuWLJgyZQqOHz8OtVqNFi1a4PXr11i+fDmAjLPwSi9yuRxZsmSBh4cHtmzZgl27dkk/s1wuR9asWdG8eXNs2LAB58+f56edCObm5hg7dizOnTuH8ePHS9PjzsM4fvx43LhxA/PmzQPAFUQi0g3b/W1sN+mK7Sai9MR2fxvbTboy1nbzHO9EmUDcIVgNGjTA+fPn0a1bN1y9ehX169dHly5dUL58eem2QUFBaN68OeRyOUJDQxEdHY07d+5AqVQmesVxUzZt2jRMnToVvr6+aNOmjdYhf87OzqhatSqWLFliwBFSRhD3vjhy5AiaN2+OwYMHw9vbW5qvUqnQunVr5M+fH8uWLTPgSInImLDdqcN2U0qw3USUHtju1GG7KSWMtd3c8E6UCcStABw6dAi7d+9Gv3798OnTJwwbNgwFCxZETEwMZs6ciTx58iB//vz48OEDGjVqBCEErly5AqVSCZVKlSnONQdoX3Bj1KhRmDNnDmbMmIFmzZrByckJALBv3z64ublJn1ygzCO5C7Js2bIFvXr1QqtWrTBq1CiUL18eMpkMly9fRuXKlTPNe4iIvh/brRu2m5LDdhORPrDdumG7KTmm0m5ueCcycfEXVg8fPkS7du3g5eWF9u3bAwD++ecf1K9fHxUrVkS+fPnQo0cPtGzZEmq1GkqlEnK5PFPFPzELFizAmjVrULx4cdStWxdDhgyRVqoy+3OTmZw4cQL58+eHk5NTsisBV65cQZcuXVCsWDE4ODhg4sSJsLKygpWVVab79AoRpQ7b/f3YbgLYbiLSH7b7+7HdBJheu7nhnchE9e/fHyNGjEDJkiW1ps+fPx8rVqzA1atXkS1bNlSoUAEFChRAly5dcPnyZSxcuBDDhg3D3LlzASS/l9GYJfZzfX1V9Pjfnzt3DtevX8fMmTPh6uqKevXqYcCAARnmvGGUvvz9/dGhQweEhYVh69atKFmyZLKvoffv3+PAgQPYtm0bgoKC0KVLF3Tq1Ak5c+Y00E9ARMaA7U4e2026YLuJSB/Y7uSx3aQLU2w3N7wTmaDY2Fi0a9cOgwcPRv369bX29j169AjDhw9Hv379MGHCBGTPnh1///23tGC6efMmypUrl2H2DqaH+AvuV69eITIyEiVKlIBcLodMJtMK/9crBcHBwXj69CksLCxQoUIFg4yfDGPv3r1YsWIFQkND4ePjk+RKwNfTbty4gTx58qBgwYL6HjIRGRG2O3lsN6UG201E6YntTh7bTalhau3mhnciE9W9e3cEBATg4MGDALRD1q1bN2zYsAGNGjXCjh07YG1tDUB7wWWqh3LFfx5+++037N27F4GBgShQoAB++eUX9OjRA7lz5070vqb6KQRKXvzXzIEDB7Bw4UJEREQkuxIA8PVCRLpjuxPHdpOu2G4i0he2O3FsN+nKVNudcUdGRKkSty/tt99+g7+/P9atWwcA0nnRAGDixIlwdnZGy5YtpfgD0FpYmWL8AUgL8hkzZmDlypWYPn06Xr16BWtrayxduhSvX79O8r4ZeWFO6Sfu0xgA8NNPP2HIkCHInj07evTogUePHkEul0Oj0SS4H18vRJRSbHfy2G7SFdtNROmN7U4e2026MtV2Z+zREZHO4gJna2uLypUr4++//8bt27cB/Bd1W1tb5M+fH6dOnTLYOA1FCIGwsDAcOXIEs2fPRpMmTXDixAlcuXIFY8aMQcWKFaFSqaSVJSIg9SsBREQpwXYnj+2m1GC7iSg9sd3JY7spNUyx3dzwTmSismfPjiFDhuDKlSuYM2cOXr58qTVv1KhR2LZtG44dO2bAUepH/DNqyWQyaDQahIWFwcPDA0eOHEGrVq3g7e2Nvn374vPnz/Dx8cHTp08NOGLKiBJbCbC2tkbv3r1x7969DL+nnYgyPrb7P2w3pQW2m4jSG9v9H7ab0oKptdu4RktEKSaEQMWKFbFp0ybs2LED48aNw9mzZ6X5hQsXxm+//Ya6desabpB6oNFopE8jBAQEAABy5swJS0tLtGnTBm3btsX8+fPRv39/AMD79++xadMm3Lp1y2BjJsNJau+5Wq0GkPhKwKdPn7Bw4UK9jZGITBfb/QXbTbpgu4nIkNjuL9hu0kVmajcvrkpkwuIuMnH+/HkMGjQIefPmhaurKyZOnKh1O1O9oEv8i2zMnDkTly9fxsiRI+Hq6or9+/dj6NChcHR0xPHjxwEAkZGRaNeuHT5//oyjR4+a9BXmKaH4r5cLFy4gIiICCoUC9evXB/BlJSDuNRH/wi8XLlyAs7Oz0e15J6KMie1muynl2G4iygjYbrabUi6ztZsb3omMWPyFUFLiFmpPnjzBnj174OvrC0tLS9StWxeDBg2Co6OjnkZrOGPGjMHatWuxZMkSVK5cGcWKFUNISAhWrlyJ+fPno0iRIrC3t8f79+8RHh6Oq1evQqlUai3wKfMYM2YM9u7di5iYGNja2kIIgVOnTsHCwkLrdl+//zL61dSJKGNgu1OG7SZdsN1ElJ7Y7pRhu0kXmaXd3PBOZKTiL2yEEIiJiUmwgIrz9YLK19cXKpUKDg4OaNSokV7GaygXL15E586dsXLlSmkPapywsDA8ePAAy5cvR44cOVCwYEEMHToUCoXCZD+NQMlbsGABpk2bhv3796N69eqYPXs2Ro8ejcOHD0vvlZSseBMRJYbtThm2m3TBdhNRemK7U4btJl1kpnbz1U1khOLH/48//sCNGzdw7do19OvXD66urqhevbrW7eMWVnH369atm97HbCjv3r1DTEwMypQpI02LW4Bnz54dzs7OcHZ21rqPWq1m/DMhjUaDO3fuYPLkyahevTr++usvTJs2DStWrECjRo3w6dMnZM2a1STiT0T6x3anHNtNKcV2E1F6YrtTju2mlMps7Taez+YTkSQu/l5eXvD29kaNGjXQs2dPLF68GJMmTcKHDx+SvV9mEHexDoVCAYVCgaCgIGle3IE+W7duxalTpxLcl4e5ZQ5fH/AVd2ioEAKHDh1C586dMXPmTPTp0wdqtRorVqyAr6+vgUZLRMaO7f42tpu+he0mIn1iu7+N7aZvyeztzjxLAyITc/XqVezZswd79+7FwIED4eLighcvXqBDhw7IkydPkleJNlVf/7xxKzsVKlRAWFgY5s+fj7CwMGledHQ0Nm/ejJMnT+p9rGR4Go1G2oP++PFjhISEAABq166N7du345dffoG3tzcGDBgAAAgKCsKxY8cQGhpqqCETkQlgu7Wx3aQLtpuIDIHt1sZ2ky7Ybp5qhshoaTQaWFhYwMXFBdu3b0evXr2wcOFCdOnSBZGRkTh16hRq1KiBHDlyGHqoehEX/KVLl+LevXuwsrJC9+7d4eTkBF9fX7Ru3Rrh4eHw8PBArly5sGjRIgQGBmLPnj2GHTjpXfxDRidMmIDTp09j9OjR+Omnn9C+fXts2LABhQsXRs2aNaFSqeDv74++ffsiJCQEgwYNMvDoiciYsd3a2G5KKbabiAyF7dbGdlNKsd3/TxBRhqdWqxNMO378uChZsqTYtGmTsLGxEYsXL5bmHT16VHTs2FE8fPhQn8M0iPjPjZeXl7C1tRU//fSTqFy5srCzsxN+fn5CCCHOnj0rXF1dRZEiRUSlSpVEs2bNRExMjBBCCJVKZZCxk2H99ttvIm/evGLv3r3i/fv30nQ/Pz9RoEABUbFiReHg4CBq1KghqlWrxtcLEemE7U4a202pxXYTUXpiu5PGdlNqZfZ2y4T46mQ7RJShxN9LuGzZMmg0Gnh6egIAmjRpgoMHD2LBggUYPHgwACAqKgpt2rSBpaUltm/fnmnOL/fu3TvMmTMHHTp0QJUqVfDw4UOMGzcOBw8exKlTp1C1alWEhoYiNjYWKpUK9vb2kMlkvIp6JvXs2TM0a9YMU6dORcuWLaXpsbGxUCqVePHiBW7fvo3Hjx/DyckJbm5uMDMz4+uFiFKE7U4Ztpt0wXYTUXpiu1OG7SZdsN081QxRhhcX8JEjR2Lbtm3o1q0bXr9+jYIFC2LatGkICQnBvHnzYGNjg5CQEOzfvx9v377FjRs3IJfLtVYgTNWWLVvQo0cPlClTRlo5KlWqFObMmQOZTIa6devizJkzqFSpktb9NBqNySzMSTefP3/G+/fvUaJECQBfLvgik8mgVCoRFRWFnDlz4ueff9a6j1qt5uuFiFKE7f42tpt0xXYTUXpiu7+N7SZdsd28uCqRUdi0aRPWr1+P3bt3Y+rUqShYsCAAoGLFili7di1cXV0xc+ZM7N69G46Ojrh+/ToUCgVUKpXJxx8AChUqBHd3dzx48ADR0dEAvizQHR0d8ccff6BJkyaoUqUKHj9+rHW/zPDcUMKrqANA9uzZ8fHjR1y5cgUAIJPJpAsFXbx4EQcOHEBUVJTWfczMzNJ/sERkMtju5LHdlBy2m4gMge1OHttNyWG7E2c6uxCITNi9e/fg7u6OKlWqQK1Wax164+TkhE2bNiEgIAB58uSRFlKmdGhOfIl9kqBWrVqwsrJCUFAQ3N3dcfr0aTg6OkorAb///jtKlCiBIkWKGGjUZCjxXy8RERHInj07gC8rjZ06dcKSJUuQO3duNGvWDHK5HGq1GtOnT0eRIkXQvn17Qw6diIwc2/0ftpt0wXYTkaGw3f9hu0kXbHfSeI53IiPQq1cvPHjwAOfOnQPw3+E5UVFROHPmDBo1aqR1+7j5pib+wnznzp14/fo1oqOj8dNPP6F8+fK4e/cuhg4din///RcnTpyQVgLiPxemumJECcX/3c+YMQNnz57Fp0+fMHr0aNSvXx8PHjzA9OnTcfXqVbRo0QJWVlY4ffo0Pnz4IH16hYgotdjuL9hu0gXbTUSGxHZ/wXaTLtju5PF4D6IMJO6Qm69VqFAB79+/x/HjxxETEyMt1CIiIjBlyhTs379f6/amGH/gv0PURo0ahcGDB+Pq1avYtWsXOnXqhKVLl6Js2bKYMWMGihUrhkaNGuHZs2cJngtTX6jTFxqNRvrdL1iwAN7e3nBxcYFarcbAgQMxf/58lCpVCt7e3hg4cCAOHTqEy5cvo3jx4lqHjBIRfQvbnTy2m1KK7SYifWG7k8d2U0qx3SkgiChDUKvV0tcHDx4U+/fvF2fOnBFCCBEdHS0qV64sKlWqJLZt2ybevHkjHj16JJo0aSJcXV2FSqUy1LD1QqPRSF9v27ZNFCpUSFy5ckUIIcSGDRuEUqkUO3fulG5z/fp1UbFiRdG2bVu9j5Uylrt374p+/fqJI0eOSNP+97//idKlS4sZM2aIkJAQIYQQUVFRWveLjY3V5zCJyEix3Uljuym12G4iSk9sd9LYbkottjtp3PBOlMGMHDlSWFtbi2LFiglzc3MxY8YMIcSXBZS7u7soW7asMDc3F5UqVRLVq1cXMTExQghhkisBPj4+IiIiQmvazJkzRZs2bYQQX1YGrK2txbJly4QQQkRERIiHDx8KIYS4f/++1koVZT5//vmnsLW1FQ4ODuLUqVNa80aOHCnKlCkjZs6cKd68eaM1L/4KJxFRSrDd/2G76Xuw3USkL2z3f9hu+h5sd/J47AdRBvLs2TMcPnwY//zzD7JkyYKTJ09i8ODBiIiIwPTp07Fv3z48ePAADx48gJ2dHWrUqKF1wRdTsnDhQly4cAFdu3bVmh4ZGQlHR0dcuHABvXr1gre3N/r37w8hBHbt2oV3795h+PDhcHJyAgDpojiU+bRs2RL79u3Dxo0bcebMGVSuXBlWVlYAAG9vb8jlcvzxxx/Inz8/unTpIt3PVA8ZJaL0wXb/h+2m78V2E5E+sN3/Ybvpe7HdyePFVYkyiN9//x0vX76Eubk5Fi5cKE1fu3Yt+vbti7Fjx2LKlCkJ7mfKgYv72c6ePYuyZcsiZ86cOHbsGNzc3AAA27ZtQ9u2bQEAnz59QsuWLeHk5IQFCxYYcthkAPEvAAQAsbGxUCqVAIAuXbrg0qVLGDt2LNq2bYts2bJJt1u6dCn69etnsu8hIkpfbHdCbDelFNtNRIbAdifEdlNKsd2648VViTKA2NhYfPz4EStXrsTdu3e15vXs2ROrVq2Ct7c3fv311wT3NcUFl1qtBvDlZzty5Ai6du2KhQsXIiQkBA0bNsS0adNgbm6O8PBwPHv2DNevX0erVq0QGBiIOXPmAPhyZW3KHOLHf9WqVejduze6d++O+fPnAwA2bNiAatWqYdasWdixYwciIyOl+w4cOBBmZmbSa46IKKXYbm1sN+mC7SYiQ2C7tbHdpAu2O3VM6xgZIiPx9V5CpVIJLy8v2NjYwMvLCytXrkTfvn2l+T169EBkZCS2b98OIYRJH5Kj0Wi0Vmrc3NzQtGlTHDhwAGZmZhg2bBgGDhyIqKgoDBkyBDly5ICtrS1sbW1x+fJlKBQKk/40AiUU914aPXo0Nm3ahHbt2qF48eIYMWIEXr58iblz52LTpk3o3Lkz/vjjD0RGRqJXr16wtLSUHoOvFyL6FrY7aWw36YrtJiJ9YLuTxnaTrtju1OGpZoj0LH787969iw8fPqBIkSLImzcvLC0t8dtvv2HatGlYvXo1evbsqXXfuPib6krA13tQs2XLho4dOwIARowYgVOnTqFVq1YYMmQIsmfPjgcPHiAoKAjW1tYoW7Ys5HK5SZ53jxIX/31w9uxZdO3aFevXr0etWrVw+PBhNG3aFMuWLUOvXr2k+3h4eCBXrlzYtGmTSb6HiCh9sN1JY7tJF2w3EekL2500tpt0wXZ/J31eyZUos4t/1eYxY8aIcuXKibx584off/xRtGnTRgQFBYnY2FgxefJkIZfLxdq1a5N9DFM1cuRIUaBAATF9+nTh7+8vTR8+fLioXLmymDp1qggKCkpwP15NPXMYOHBggt/1jh07RO3atYUQQuzatUtYWVmJ5cuXCyGECA0NFceOHZNuG3ffzPBeIqLvx3anDNtNyWG7iUif2O6UYbspOWx32uCGdyIDmDNnjrC1tRWnTp0SQgjRv39/kSVLFnHy5EkhhBCfPn0SkydPFjKZTOzbt8+AI9U/Hx8fYWtrK/z8/KQFtEqlkuaPGDFCVK9eXYwaNUp8/PjRUMMkA7l375746aefRExMjNb0f/75R9SpU0csXbpUZM+eXSxbtkyad/jwYdGqVSvx9OlTaRpXFolIV2x30thuSg7bTUSGwnYnje2m5LDdaYcXVyVKZw8ePJC+FkLg8+fPOHfuHCZPnow6derg4MGD2LhxIxYsWIC6desiKioKZmZm8PLywurVq+Hu7m7A0euHiHfGq/v376Np06aoXLmydOGN+IcmzZkzB2XLlsWHDx+QNWtWvY+VDKt06dLYv38/lEol1q9fD5VKBQCwtbWFWq3G8OHDMXLkSPTv3x8AEBUVhYULFyJbtmwoUqSI9Djxz/VIRPQ1tvvb2G5KKbabiPSB7f42tptSiu1OOzzHO1E6GjZsGNRqNRYtWiSdF0utVqNJkyYYOXIkoqKi0L59e8yePRv9+/dHbGwsfH19UaBAATRu3Fh6HFM9f9qtW7eQM2dOFCpUSJrWvHlzRERE4MSJEwD+O/9cTEwMbty4gerVq2tNFyZ63j1KKP7v+t27dyhVqhTKlSuHs2fPQi6XY/369fDy8oKbmxvc3NyQJUsWLFmyBAEBAbh27RoUCgVfL0T0TWx38thu0gXbTUT6wHYnj+0mXbDdaYu7HojSUbNmzTB37lwAgL+/P4AvCzFzc3P8+uuv6NKlC/744w9pL2FgYCC2bduG169faz2OKcZ/8+bN6NSpE0aNGoWQkBBp77ubmxuCgoJw6NAhAP/tIQ0ICMD48ePxzz//SNM1Gg0X5plE/N91REQE8uXLh+PHj+PDhw+oU6cOhBDo2rUrJk6ciJCQEPTu3Rvz5s2DjY0N/Pz8oFAooFar+Xohom9iu5PGdpMu2G4i0he2O2lsN+mC7U57/MQ7UTr4eu/epk2bsHz5csyePRsuLi54/vw5GjVqhOzZs+PixYtQqVSIiopC586dERERgX/++QdmZmYG/AnSl4+PDwYPHoyFCxeiUqVKqFSpkjTv6dOnaNeuHfLnz49OnTqhVatWePXqFYYPH46goCCcPn3apJ8bSijuUxYAsGDBAnz48AGdOnWCk5MTrly5gvbt28Pe3h5nz56FTCbDp0+fEBwcjBw5ciBbtmyQyWQm++kVIko7bHfy2G7SBdtNRPrAdieP7SZdsN3pgxveidJB/AUWAGzbtg3Lly+HtbU1vLy84OLigkOHDqF9+/YoVKgQzMzMYGVlhU+fPuHSpUtQKpVQq9UmGboLFy6gXbt2mDt3Ltq2bas179OnT8iaNSuePn2KIUOG4OHDhwgMDESRIkVgbm6O8+fPm/RzQ8kbNWoUfHx8sGDBAtSqVQsODg4AIK0EFChQACdPnkzw2uBhbkSUEmx30thuSi22m4jSE9udNLabUovtTlvc8E6UxuLH/59//kHZsmVha2uLvXv3YvHixTA3N8fkyZNRpUoVBAYGwtfXFxqNBgUKFECHDh1gZmZm0nsJN27ciI0bN+Kvv/6ChYUFAODIkSM4efIk9u7dCzc3N/Tv3x+FChXCy5cvceHCBTg4OKBu3bom/9xQ0vbt2wdPT09s374dzs7OCeZfvXoVHTp0gFKpxJ07d3gRFyLSCdudPLabUoPtJqL0xHYnj+2m1GC70x7fRURpSAghLXi8vLywfft2/Pbbb2jfvj2aNWsGtVqNpUuXYuLEiRg/fjxcXFwwcuRIrcdQq9UmHbjAwEBcuXIFnz59goWFBUaMGIGrV68iKioKNWrUwO7duxEQEIDly5fDyckJTk5O0n1N/bmh/8TtLY/7+8WLF8ibNy/KlCmT4DYAULVqVaxfvx5z5swB9ycTkS7Y7m9juykl2G4i0he2+9vYbkoJtjv98RPvROlg1qxZmDt3Lv7880+UKVMGOXPmlObt3r0by5cvh4WFBUaPHo2aNWsacKT69+DBA/Tp0wcPHz6EtbU1YmJiMG7cOHh4eMDR0RHr169Hz549cevWLa2FPWUely9fRkBAAGrUqIHcuXMDAH777Tfs3bsXN27cAADpsEchBPbv34/ixYsnWFnkYZFEpAu2O2lsN30L201EhsB2J43tpm9hu/WDxwQQpSEhBD59+oSjR4/Cy8sLNWvWlOKvUqkAAC1btsSgQYPw+vVr7Nmzx4CjNQwnJyfMnTsX48ePR8+ePXH79m307dsXjo6OAIB8+fKhSpUqyJYtm4FHSoawYcMGdO7cGSdOnMCrV6+k6S1btsTt27cxe/ZsAJDiHhYWhjVr1uDy5ctaj8P4E1FKsd3fxnZTcthuItI3tvvb2G5KDtutPzx2hOg7ffjwAXny5AEAyGQyRERE4MaNG+jTpw+A/849p1AoEBUVhbCwMDRt2hQ2NjaoVauWIYeud3GHKFWrVg3VqlVLMD8qKgqLFi1CwYIFpQt4UOaxbt06eHp6YvHixWjQoIHWa6BSpUqYMmUKxo0bh9DQULRt2xZRUVGYMmUK3r59i44dOxpw5ERkbNjulGO7KTlsNxHpC9udcmw3JYft1i+eaoboO+zevRurVq1C9+7d0apVK+k8aA0bNkTu3LmxZs0aWFlZSYffnDt3DkeOHMGoUaOkPctfX4k9M4lbIfj48SNu3ryJ6dOn4/Xr17h27RoUCkWmfm4ym/v376Nt27YYN24cOnTooDUvMDAQlpaWsLa2xpo1azBmzBgolUpYW1ujQIECOHToEJRKJQ9zI6IUYbu/D9tNcdhuItIXtvv7sN0Uh+3WP76ziFJpzZo16N27N6pVq4bcuXNrXXzE3d0dT548wbx586DRaGBmZobPnz9jxowZuHr1KrJmzSrd1hQDl9j+vMSmyWQyREVFYf78+Rg3bhyUSiX8/PygUCigVqtN8rmhxAUHB0OlUqFixYrStB07dqBv37744YcfULVqVRw8eBC9evXCrVu3sH//fuzcuRNHjx6FUqmESqVi/Inom9jupLHdpCu2m4j0ge1OGttNumK79Y+nmiFKhX379mHMmDFYsWIF2rRpk2D+sGHDEBwcjJ07d2LHjh0oXbo0nj59iujoaFy7dk3rqtGmJv7ecpVKJa0YyWSyRPeMWlpaolGjRnBxcUH9+vUhl8u17keZQ0hICD5//oyXL18iX7588PLywvXr15E/f34MHToUd+/eRZs2bXD+/HlUrFgR+fLlk+6r0Wj4eiGib2K7k8Z2U2qw3USU3tjupLHdlBpst/7xVDNEqTBo0CAAwMKFC6XYPXjwAFeuXMGbN29Qs2ZN1K5dGydPnsRff/2FyMhIODg4wMvLCwqFwmQDFz/+y5cvx6lTp2BmZobKlStjxIgRAL591Wse5pZ5ubm54fr169BoNMiRIwdmzJiBevXqwdbWFnfv3kWDBg2wdOlStGrVytBDJSIjxHYnju2m78F2E1F6YrsTx3bT92C79cv0lkBE6SwmJgbXrl1D9erVpVBNnz4dJ0+exPXr12FhYYE1a9bAy8sLPXv2RL169bTur1arTTL+wH+H740ZMwa+vr7o2rUrYmNjsWjRIjx9+hRLliyBmZlZsisBjH/mE/d6OHLkCA4ePAiVSoXGjRtrvU9kMhny5csHW1tbA46UiIwV2500tptSg+0movTGdieN7abUYLsNg594J0qFP/74A6NHj8aIESNw+vRpfPjwAT179kTXrl1hb2+PNm3aQKPRYMeOHbC0tDT0cPVq06ZNmDx5MjZs2ABnZ2fs2LED3bp1g5mZGZo1a4ZNmzYBgMl++oBSJ7mVwoiICHTs2BHR0dE4dOgQVxKJKFXY7qSx3ZQabDcRpTe2O2lsN6UG261/fPcRpUKXLl0QFRWFkydPwtHRERs2bECBAgWkK6aXKVMGfn5+meKiE1+fMy88PBwdO3aEs7Mz/v77b/Tr1w+///47smTJgoEDByJHjhxYsmQJ409aEnuvBAcH4+rVq5g3bx7evXuHK1euQC6X87BIIkoVtvs/bDelBbabiNIb2/0ftpvSAtutf/zEO9F3iI6OhoWFhda0yMhItGrVCuXLl8cff/xhoJHpx/Pnz1G4cGEAwK5du9CwYUPY2Njg+fPnyJYtG9zd3fHLL79g9OjRePToEerWrQt/f3+MHTsW06ZNM+zgSe90vbDRxIkTcejQIZQoUQLr1q0z6fM0EpH+sN1sN6Uc201EGQHbzXZTyrHdGQs3vBOlkejoaLx//x59+/ZFQEAALl26BIVCYbJXUb9w4QKGDh2K8ePH49SpU1i8eDEePXoER0dHAMDFixfRqVMnHDlyBMWKFcOjR48wefJkdO/eHfXr188Un0qg/8TfWx4ZGYmoqCjkzp1bmp/U++TatWuoVKkSZDLZNy8QRESkK7ab7aaksd1ElBGx3Ww3JY3tzni4+4IoDURGRmLChAm4du0aNBoNLl68CIVCYdILrKxZs6JkyZLw9PTEx48fcffuXTg6Oko/c548eRAZGYkVK1agV69eGDZsGLJmzYqGDRtyYZ7JxI//jBkzcPToUTx+/BgtW7ZEv379ULZsWchkMq2VgLj7VK5cWfqerxciSktsN9tNSWO7iSgjYrvZbkoa250x8WQ9RInQaDSJTler1YlODw4ORrly5dCyZUucPHkSSqUSKpXKpBdYFStWRJkyZfDu3TsULlwYt27dAvDlnGEajQb58+fH//73P/j6+sLNzQ3BwcHYunWrtKA35eeGtMXFf/z48Vi4cCFatmyJ1atXY9OmTZg4cSJOnz4NANJrI/59vn4MIqKksN3fxnZTSrHdRKQPbPe3sd2UUmx3xsRTzRB9Jf5ewr179+Ldu3eQyWTo0KEDsmfPnuQe4/j3M9W9ynF7RuN+vuPHjyM6Ohrbtm3D06dPMWDAAHTq1Em6/adPnxAUFIQ3b96gevXqkMvlPFdYJnXo0CEMHz4cq1evRs2aNXH58mXUqlULuXLlQunSpTFt2jTUrFnT0MMkIiPFdieN7abUYruJKD2x3Uljuym12O6MhxveieKJf8jNmDFjsH37duTKlQsWFhYICQnB8ePHkS9fvkx5def4P/PXF7e5evUq5s6di5cvX2LQoEFo3749AGDFihVo3749bGxsAJjuihEl9PV75PLly7h69SoGDhyIQ4cOoWPHjli0aBFq1KiBsmXLwsPDA/369YO7u7sBR01ExojtThrbTbpgu4lIX9jupLHdpAu2O+PjhneiRCxYsACzZs3C3r17UbVqVaxatQr9+vWDo6Mjjh8/jqJFi2aqlYD4P+uSJUtw/vx5REVFoW7duujTpw8sLS3h5+eHuXPn4smTJ3Bzc8P169dx69YtPH/+PNM8T/TF/fv3Ubp0aQBfzi1XqVIl1K1bF6GhobCyskKzZs1Qv359jB8/HiqVCtWqVcPt27cxYsQIeHt7G3j0RGSs2G5tbDfpgu0mIkNgu7Wx3aQLtts48F1JBO1zyAUFBeHWrVuYN28eqlatin379uHXX3/F1KlTUaBAAbi5ueHly5eQy+XILPut4gI+ZswYTJ48GSVKlECePHng4+ODgQMH4vPnz6hSpQpGjhyJWrVq4ejRo5DL5Xj69CnkcnmS5+4j0/Po0SOULVsWCxcuxNChQzF79mwUKVIElpaWsLe3R1RUFIKDg+Hg4AAAiImJgbOzM06ePIkZM2YYePREZEzY7uSx3ZRSbDcR6QvbnTy2m1KK7TYigiiTU6vV0tf37t0TQghx9OhR8fLlS3Hjxg1RuHBhsXTpUiGEEMuWLRMymUxkyZJFvHnzxiDjNZQNGzaIkiVLiitXrgghhNi9e7ewsLAQRYsWFW3bthWfP38WQggREREhIiMjhUajEUIIERsba7Axk2Fs2LBBWFhYiOzZs4vr169rzXv37p0oUaKE+OWXX8SyZcuEu7u7qFatmvR6UalUBhgxERkbtjtl2G5KKbabiNIb250ybDelFNttHPiJd8rUDh8+jJ49ewIAhgwZgsGDB+Pz589o2LAhChUqhMuXL6NUqVLo3LkzAMDW1ha9evXCsGHDYGdnZ8ihpyuRyCcKYmJi0KxZM1StWhV//fUXevXqhVmzZsHT0xNHjhzBgAED8PnzZ1hZWSFr1qyQyWTQaDS8oEsmI4RAlixZEBMTg48fP+L06dPSJ1uEELC3t8e6detw69YtrFy5Emq1GufOnZOurM5zERLRt7DdiWO7KbXYbiJKb2x34thuSi2224gYZns/keHFxMSI+fPni7Jly4rKlSsLGxsb8fDhQ63bTJo0SdjY2IioqCgREREhmjdvLkaPHi3NN+W9hGq1WtqbHufly5fi/fv3okqVKmLWrFlCCCFev34tHBwchI2NjfDy8jLEUMnA4vaax/fu3Tvh4+MjZDKZmDVrllCr1VqfcomJiREhISH8hAYR6YTtTh7bTSnFdhORvrDdyWO7KaXYbuPEXWKUaSmVSgwePBiHDh3C4cOH0apVK5QsWRIAoFKpoFAo0K1bN/z555/InTs3HBwcIJPJsHPnTukxTHEv4blz53D+/Hn89ddfMDc3R/PmzdGoUSOUKVMGhQoVwoULFxAYGIiffvoJABAREQEXFxe0a9cOLVu2NPDoSd/iXwAoPDwcnz9/hp2dHezt7dG9e3dERkZiyJAhUCgUGDp0KACgf//+aNOmDRo2bCg9Bj+hQUQpwXYnju0mXbDdRKRPbHfi2G7SBdttvGRCZJKrVBB9Ra1W49OnT1iyZAnCwsJw5MgRVKpUCatXr5bmm5mZ4eXLlzh48CCEEOjduzcUCoU0z9SsX78e06dPR8WKFaHRaCCEwO7du1GvXj2MGjUK7u7uePToEZo3b47GjRujR48eGDVqFKytrbF161bIZDKTfW4oofjxnzlzJvbt24f379+jcuXK8Pb2RoECBSCXy7F06VIMGjQIv/zyC54/f46QkBDcuXOH0ScinbHdCbHdpAu2m4j0je1OiO0mXbDdRs5wH7Yn0r/4h9zEFxkZKebPny8qVqwoevXqpTXv2rVrWt+b6mFuy5cvF1myZBEbN24UISEh0vS///5b2Nvbizp16ogrV66I6OhoMWnSJFGiRAlRoEAB4erqKmJiYoQQiR/6RKZv3LhxIl++fGLRokXi7NmzInfu3KJp06bi6tWr0mti165donXr1mLAgAHS68VU30tElLbY7qSx3ZRabDcRpSe2O2lsN6UW222cuOGdMo348f/777/F/Pnzha+vr3j8+LEQQojg4GCxYMECUalSJdGlSxcREBAgGjVqJNq0aWOoIevN+vXrhVwuF3v37hVC/Ldgjvv7wIEDwtzcXAwfPlwIIcTHjx/F8+fPxaVLl6TnlecKy5yOHj0qypYtK06fPi2EEOKff/4RWbNmFTlz5hSVK1cWV69elV4bnz59ku7H1wsRpQTbnTS2m1KL7Sai9MR2J43tptRiu40XTzVDmYIQAjKZDAAwevRobN++HXny5IGNjQ0CAwOxceNGVKhQASEhIdixYwfmzJmDjx8/omDBgjh79iyUSqWBf4L0IYRAeHg4KlSogFy5cmHLli1wcnKS5sVd8Vomk2Hs2LFYtWoVbty4gQIFCmg9Dg9zyxziH+IWl44zZ87gzp07GDhwII4cOYIOHTpg3rx5aNKkCUqVKgUXFxeMHTsWrq6u0nsw/vuRiCgpbHfi2G7SBdtNRPrEdieO7SZdsN0mRr/b+YkMa8GCBaJAgQLi4sWLQggh5s+fL2QymciXL5+4fPmyEOLL4W+vX78Wx44dk/Y8m/pewkuXLgknJyfRunVrcenSJWm6RqOR9qxv2LBBWFtbiydPnhhqmGRgGo1GfP78WURGRoqPHz8KIYSIiooSr169EpGRkaJ+/fpi4sSJQgghwsLCRLVq1YRMJhM9evQw4KiJyNix3Yljuykl2G4iMgS2O3FsN6UE221a5Ibe8E+UnsT/7x0UQuDDhw+4fPkyZsyYAWdnZ+zfvx/jx4/H+PHjUa5cObRs2RK3b99G1qxZUaBAATRo0ABmZmZQq9UmfTEKjUaD6tWrw9fXFzdv3oS3tzcuX74MAFp7R9+8eQNnZ2cULFjQUEMlAzp27Bg8PT3h5OSE4sWLo1mzZjh48CAsLCxQsGBBREREwN/fH6VLlwYAKJVKVK1aFU+ePMGqVasMPHoiMiZs97ex3ZQSbDcR6Qvb/W1sN6UE2216uOGdTFpcwGQyGfLkyYMBAwagZs2auH37NgYNGoRZs2ZhypQpaNGiBd6+fYuKFSvi/v37Wo9haodyia/OLiWXy6WVgE2bNuHmzZuYPXu2tBIgl8sREhKCkydPokqVKrCwsDDEsMmAfHx80KtXL8hkMgwbNgz9+/dHZGQkmjRpgtWrVwMAsmfPjqioKPj4+GD16tVo1qwZLl26hCJFikgr0kREKcF2J8R2k67YbiLSJ7Y7IbabdMV2myae451M0qNHj/Do0SOcO3cODg4OqFOnDsqWLSvNX7FiBXbv3o1du3YhW7Zs0tcVKlTAr7/+anLRj/Pu3Tvky5dP65xhceKmXb58GZ06dULFihUxbtw4VKpUCU2bNkVAQADOnz8PhULBc4VlIitWrMDgwYOxfv16tGzZUloBvHPnDubMmQNfX19s27YNbdu2xf3799GiRQtkz54duXLlwv79+6FUKvl6IaIUYbsTx3aTrthuItIXtjtxbDfpiu02YXo/uQ1ROtuyZYtwdnYW5cuXFyVLlhQKhUKUKFFCTJ8+XbrNzJkzhbW1tfj3339FVFSUaN68uRg1apQ0P+4cc6Zk6tSpQiaTiUePHgkhtK82Hydu2qVLl0SJEiVEu3btRLVq1UTJkiVFTEyMEMI0nxtK3K5du4RMJhNnz54VQnx5fWg0Gmn+gwcPROPGjUXx4sXFv//+K4T4cu65Dx8+SLcz9fM0ElHaYLsTx3aTrthuItIXtjtxbDfpiu02bTzVDJmUlStXom/fvujevTt27tyJBw8e4O7duyhUqBBWrVqFSZMmAQBatmyJqlWronz58qhcuTIePXqE6dOnA/hySJgp7nnv1KkTPDw88OOPP+LRo0fSoW7xfX342+HDhxETE4M7d+5AqVRCpVKZ5HNDCX369AlXrlwBAPj7+wP48voQ8Q6SKlWqFNq3b483b97g06dPAAALCwvkzp0bMpkMGo3GpM/TSERpg+1OGttNumC7iUhf2O6ksd2kC7Y7EzDkVn+itOTj4yPkcrk4cOBAgnlv3rwRP//8s3BwcBD//POPEEKIW7duidWrV4vFixdLewdNfa/y27dvRcuWLUW+fPnE06dPhRDJ74F/8uRJprnCPCX04sULMWbMGJE9e3bh4+MjTddoNNJr5PXr10Iul4tjx44ZaJREZMzY7m9ju0kXbDcRpTe2+9vYbtIF223auOGdTMLVq1eFubm56Nq1qzQtbgEV9/e7d++EjY2NGDhwYKKPYarxjx/4DRs2CG9vbyGTyUSxYsWSPfwt/qFNpvrc0Le9fv1ajBo1KsFKQNxrZuPGjcLFxUUEBgYaaIREZKzY7qSx3fQ92G4iSi9sd9LYbvoebLfp4qlmyCQ4OTmhTZs2eP78ORYsWICYmBjp8C25XI6YmBjY29vjl19+wZ07d/D582eoVCqtxzDVQ7niLuYyevRoeHl5QaFQwNPTE1myZEGdOnXw+PHjRA9/i39RDlN9bkjb168BAChQoACGDBmCAQMGYMiQIVi3bh2AL6+riIgIbN26FRUrVkSePHn0PFoiMnZsd9LYbkoptpuI9IntThrbTSnFdmcuPAkQGT21Wo1s2bJh5cqV8PT0xNatWyGTydC/f3+Ym5tDo9HA3NwcAPDy5UsULVoUWbJkMfCo9evp06fYtm0bFi1ahBYtWgAA7t27hyFDhqBu3bo4ffo0ihUrluhV18n07dq1Cw0aNECOHDkSvRJ63EoAAAwZMgQKhQKdO3fGL7/8grdv32L37t2QyWS8ijoRpRjb/W1sNyWH7SYifWO7v43tpuSw3ZkT3+lk9MzMzKDRaJAtWzYsWbIEpUqVwpYtW7B8+XJpDzwAPHv2DLGxsahbt65hB2wAnz59wvv371GwYEFpmpOTE2bMmIHo6Gg0bdoUDx48YPwzobVr12LEiBFYtmwZwsPDpZB/LW4lYODAgRgyZAgKFSqEp0+f4sqVK1AoFFCr1Yw/EaUY2/1tbDclhe0mIkNgu7+N7aaksN2Zl0wk9psmMkJxe40jIyPh6emJhw8fon379hgyZAhkMhl+/vlnREZG4tixYyZ9CFdSez+rV6+O6tWrY/78+dIVrz99+gQPDw9cvnwZDRs2xL59+/Q9XDIwjUaDX3/9FWfPnkWLFi0waNAg2NjYJPk6evPmDWbNmoW7d+/i0KFDUCqVUKlUvIo6EaUK2/0F2026YLuJyJDY7i/YbtIF2515cTcbGZU2bdpgypQpic6Ty+XS4W9xe+C3b9+OJUuWwN3dHU+fPsWRI0dgZmYGtVqt55Hrh0ajkRba79+/x/v376XpzZo1w7Vr17Bw4ULp9mq1Gra2tjh+/Dj27t1rkDGT4URHR0Mul2PevHlwcXHBwYMHsXTpUnz8+DHZPfDjxo3DsWPHGH8iShG2O3lsN+mC7SYifWC7k8d2ky7Y7syNvzUyKpUrV8Zvv/0Ga2trDBs2LMH8uLjHrQQMHjwYI0aMgJOTE27dumXyC6y4Q9bGjx+Pw4cP482bN+jfvz+GDx+OESNG4N27d9i4cSMOHDiAevXqYf/+/VCpVHBxcdG6KA6ZPiEELCwsAAAbNmyApaUl7t+/j4cPH0Iul2PgwIHInj17onvg7ezspMcw1fcSEaUdtjt5bDelFNtNRPrCdieP7aaUYrsJgshIqFQqIYQQCxcuFDKZTMyfP1/ExsYmelu1Wi2EECIiIkJ4e3tLt0vq9sYu7ucVQogVK1aI/Pnzi6VLl4opU6YIS0tL0a1bNxEYGCg+f/4stmzZIlq0aCEaNGggOnToIGJiYhI8BmUeEydOFDly5BDr168XO3bsEE2aNBFlypQR06dPF+Hh4UIIITQajYFHSUTGiu1OGttNqcV2E1F6YruTxnZTarHdmRc3vJNRiIu/EEI8ffpU9O7dWygUCrF06dIkF07x7yOE6cY/vsuXL4vJkyeLHTt2SNOOHDkicuXKJbp27SpevXolTf/06ZP0dWZ4bkibRqMRgYGBokKFCmL58uVa8/r27SsKFSokZs2axZUAIko1tjtl2G5KKbabiNIb250ybDelFNtNPLaFjELcRVlGjRqF5s2b49OnTyhatCgGDRqE+fPnJ3ufOKZ8aI4QAnfu3IGzszMmTZqE0NBQaV6jRo2wbds27Nu3D5MmTcLdu3cBAFmyZJHua8rPDSVOJpPBysoKCoUCHz9+BACoVCoAwIoVK5A3b16sXLkS06dPR2RkJK+cTkQ6Y7uTx3aTrthuIkpvbHfy2G7SFdtN3PBORmPv3r1YtmwZVq9eDV9fX1y4cAFTp07F//73P8yfPx8ajcbQQzQYmUyGcuXKYdeuXQCAs2fPIjAwUJrfsGFDbN++HWvXrk1wMRcu2DOHxN4fSqUSefLkwYEDB6DRaKBQKKQLIJUtWxYAEBkZiaxZs+p1rERkOtjupLHd9C1sNxEZAtudNLabvoXtpq9xdxsZjZCQEBQvXhyVKlWCQqFArly5MHbsWERGRmLkyJGwsrJCjx49EuxxN0VJXYylZcuW2LhxIzp37gx7e3uMHDkSuXPnBgA0aNAAly9fxg8//KDn0ZKhxX+9XLt2DdbW1jA3N4eDgwOWLFkCZ2dndO7cGatWrZIu/BIdHY0//vgDzZo1k660zpVFItIV2/0ftpt0wXYTkaGw3f9hu0kXbDclRiaEEIYeBFFK7N69G+3atcODBw9QrFgxqNVqmJmZ4dy5c6hTpw6EENi8eTPat29v6KGmq/gL8507d8Lf3x+xsbHo0qULcubMCTMzM2zcuBFdu3bFqFGjtFYC4pjyFeYpaaNHj8amTZug0WhQpkwZDB8+HE2aNMHJkyfRtm1bFChQAHZ2dggJCUF4eDju3bsHMzOzJFc4iYi+he3+gu2m1GK7iUjf2O4v2G5KLbab4uOGd8pw4i9sYmNjoVQqAQBhYWFo06YNLC0tMW/ePBQvXhwA8PDhQyxevBi1atVC69atM03YxowZg3Xr1uGHH37AzZs3Ubp0afzvf/+Dm5sbFAoFNm7ciO7du6NPnz6YNWsWrK2tDT1k0rP4e8vPnTuHzp07Y/369Xj+/DlOnDiBEydOYPHixWjatCk+fPiAefPmITIyEubm5vj999+lQ+Ayw6dZiOj7sN0pw3bTt7DdRKQvbHfKsN30LWw3JSdzLCnJaAghpPgvWbIE169fR44cOdC7d284OTlh0KBBWLhwIbp164YJEybA0tISs2bNglwux6JFiwBkjr3KCxcuxObNm3HgwAFUrlwZf/75J9q0aYOYmBhoNBp4eHigc+fO+PTpE3x9fZE9e3ZDD5kMIC7+69atw82bN9G7d2/Url0btWvXRuXKlaFQKODp6YnY2Fi0atUK06ZN0zqsLTO8l4jo+7HdKcN2U0qw3USkD2x3yrDdlBJsNyVLEGUQGo1G+nratGkiW7ZsomfPniJ37tzCxcVF7N69WwghxNGjR0W7du2EmZmZKFWqlHBxcRExMTEJHsNUhYWFiVGjRomVK1cKIYTYuXOnyJEjh5g9e7aoUKGCqFChgvjrr7+k5yROZnhuKKEXL16Ixo0bi+zZs4uRI0dqzbtz547o27evKFy4sNiyZYuBRkhExoztThm2m3TBdhNRemK7U4btJl2w3ZQUbninDOfevXuiQ4cO4uzZs0IIIT5+/Cg8PDyEq6ur2LVrl3S7+/fvi+fPnwu1Wi2EECI2NtYg49U3tVotzp8/LwIDA8WdO3dEiRIlxPz584UQQhw+fFgolUpRoUIFcfr0aSEEw09CnDx5UjRr1kzkyZNHnDlzRmve3bt3Rdu2bUXLli0NNDoiMgVsd/LYbtIV201E6Y3tTh7bTbpiuykxPJaBMpRVq1ZhyZIlUCqVKFiwIAAgW7Zs2LBhA7p27Yo5c+YgJiYGbdu2hZOTk3Q/jUaTaQ7NkcvlcHZ2hlwux/79+5EnTx7pwjZhYWH45ZdfYGVlhRo1agAAr4idiSR1MZa6detCLpfDzMwMgwcPxpIlS6TXR5kyZeDt7Q0HBwd9D5eITATb/W1sNyWF7SYiQ2C7v43tpqSw3aQLXi6XMpT69etDoVDg3r17uHTpkjQ9T5482LBhA3LlyoVJkybh5MmTWvfLbFd+jvt5379/j5CQELx58wYhISHYsGEDypcvj2XLlsHMzAxqtdrAIyV9iR//NWvWoHfv3vD09MTatWsBAHXq1MGgQYNQrFgxDBo0CBcuXJDuW7hwYcjlcmg0GoOMnYiMG9udMmw3fY3tJiJDYbtThu2mr7HdpCuZEEIYehCUOSW1l/Dly5do0aIFcubMifHjx6NevXrSvPfv32PWrFmYNWuWSV/xOann5mvv3r2Dq6sr4t7GOXPmxJUrV6Qr0lPmM3r0aGzYsAHNmzeHRqPBwYMH0aNHD0yePBkAcPLkSSxfvhxnz57FoUOHUL58eQOPmIiMCdudNLabUovtJqL0xHYnje2m1GK7KaW44Z0MIn7g7t27h9DQUJQtWxbm5ubIkiULnj17hlatWsHW1hZjx47VWgmIo1arTXIlIP5zc+DAAeTKlQsuLi4Jbhf38/v7++Pw4cOQyWTo2LEjFAoFr4qdSfn6+mLq1KnYtGkTnJ2dsWXLFvTo0QMymQx9+/bFggULAACHDh3C2bNnMXnyZJN8DxFR+mC7k8Z2U2qx3USUntjupLHdlFpsN+mCG95J74QQ0vnPxo0bh+3btyM0NBT29vbo0aMH2rdvj/z58+Pp06do06YN7OzsMGzYMHh4eBh45Okv/nMzevRo7N27F0OHDkW7du2QM2dOyGQyrdskthJkqitGlDyNRgNvb29oNBqMHTsWf//9N7p27YoJEyYgJiYGY8eOxYQJE6Q98HH4eiGilGC7k8Z2U2qx3USUntjupLHdlFpsN+lM31dzJYozdepUkS9fPnHo0CEhhBAtW7YUhQoVEl5eXuL169dCCCGePn0q8uXLJ4YNG2bIoerdtGnThK2trThz5oxQqVQJ5vOK6ZSYz58/i6dPn4o3b96IcuXKidmzZwshhLh69arIkSOHkMlk0jQiotRgu5PGdlNqsN1ElN7Y7qSx3ZQabDfpgsfEkEE8ePAAR44cwfLly+Hu7o4jR47g2LFjqFGjBjZu3AiZTAZPT08ULVoUV69ehZ2dnaGHrBdCCAQEBODAgQNYuHAhatWqhdevX+PRo0fYtm0bHB0dMXbs2AR74ImEELC0tETRokVx8uRJqFQqdOzYEQBgbm6OJk2aoGPHjnB3dzfwSInIWLHdiWO7KbXYbiJKb2x34thuSi22m3TFDe9kEPnz58fQoUNRv359nD17Fl27dsXs2bPRr18//Pzzz9iwYQNCQkIwadIk5M+fH4DpHpoT/9xyMpkMtra2kMvlOHXqFHLkyIHVq1fj9evXsLGxga+vL8LCwjBr1izGn7TEfz3Y2Njg7du32Lx5M9q3b4/Ro0cjR44caNy4MWQymcm+l4gofbHd/2G7KS2w3USU3tju/7DdlBbYbtLVty/fTJQOrK2t4e7uDisrK+lK0L169QIAODg4wNraGgBga2sr3ccUF1jx4//XX3/hyJEjMDMzg4eHB27fvo1mzZqhWLFimDlzJg4fPozevXsjODjYwKMmQ9FoNCm6XbFixTBkyBBMmTIFtWvXRkBAAHx9faVPbJjie4mI0h/b/QXbTbpgu4nIkNjuL9hu0gXbTWmJn3gng7GysgIABAcHw8LCArGxsVAoFAgODoa3t7e0l9BUD+0SQkjxHzVqFHbv3o1+/fqhdu3a+PXXX9GjRw9ERkaiRIkS0n1u374NV1dXQw2ZDCj+yuLq1auRL18+NGjQAJaWlglua2Njg//973/o2LEj3rx5g3r16sHMzAwqlQoKBRf7RJR6bDfbTSnHdhNRRsB2s92Ucmw3pTWZEEIYehBkmr4Od/wFWHxjx47F3r17UaxYMfj7+yM8PBx37tyBmZlZkvcxJYsXL8aUKVOwd+9eVK1aNcECOjIyEvfv38e4cePg7+8PPz8/LsQzmfjvpdGjR2P9+vXw8vJCly5dkDNnzhQ9Bg9zI6KUYLtThu2mb2G7iUhf2O6UYbvpW9huSg9cilC6iB/u27dvo3z58glCHrdQ+/3336FUKuHv7w97e3ssWbIEZmZmJrnAunv3LsqWLQvgy8+vUqlw5swZDBgwAC4uLojbDxb/+Tt48CC2bt0KuVyOq1evQqFQmORzQ0mLi/+8efPg4+ODo0ePomLFigC+vFZkMpl0m6Q+qcLXCxF9C9udOLabUoPtJiJ9YLsTx3ZTarDdlB644Z3SXPx4TZo0CSdOnMCwYcPQqlUrrdvFv9jE5MmTteaZ4qE5w4cPR0xMDJYsWSItpGUyGV6/fg0HBwcA/y3o5XI5oqOj8fjxY7Rq1QoODg6oWrUq5HK5ST439G1qtRq3bt3CwIEDUbFiRTx79gx+fn5YtGgRypUrhyZNmqBJkyYmeXgoEaU/tjtxbDd9D7abiNIT2504tpu+B9tNaY1LEUpzcfEfM2YM1qxZg82bN0t7m7+W1N5AUwxcixYtUKNGDQDA27dvUaBAAelq6ufOnUNMTAzMzc2l2799+xZz5szB6NGjUb16dQBfVq5M8bmhhOKvSMedl/DNmze4d+8eHB0dsWnTJpiZmcHBwQHXrl1DcHAwGjZsCAsLCwOPnIiMEdudOLabdMF2E5E+sd2JY7tJF2w3pTfTPokXGcylS5ewZ88e7Nu3D40aNYKNjQ1evnyJDRs24P379wCAzHJ5gbif88cff4RSqcTGjRvRtm1bnD17FmZmZpg9ezYePnyIrl27IigoCJGRkQgJCYGnpydev36NkiVLSo9l6ufdoy/ix3/58uXYuHEjZDIZ1qxZA41Gg+nTp6Nu3bqYOnUqNm7ciG7duiEwMDDTvKeIKH2w3f9hu0lXbDcRGQLb/R+2m3TFdpM+cBcepYmvL8YSExOD4OBg5MmTB/fu3cOaNWuwd+9ehIaG4rfffsPVq1eRO3duA47YMKKiopAvXz5kyZIFs2bNgkwmQ82aNbFr1y788ssvqFmzJhQKBbJly4bo6GhcuXIFcrk8U1zshv4T97seOXIkNm7ciNGjR8Pf3x+FChXC+fPnERoaCltbWwBfDg/du3cvChUqxL3uRKQTtjtl2G5KCbabiPSB7U4ZtptSgu0mfZAJ7qqh7xQ/Tn5+fvjhhx8QHByMjh074vHjxwgLC8Mvv/yC2rVro1mzZihWrBimT5+OPn36GHjk6e/vv/9GwYIFUalSJfzvf/9DUFAQfHx88Pfff2Px4sWQy+WYNGkSnJ2dER4eDl9fX3z69Am5c+dGjx49YGZmxnPLZVIbN27E//73Pxw6dAg//PADAO332sePH7F//35s2LABL168wLVr16BUKpO8yAsRUXxsd9LYbkottpuI0hPbnTS2m1KL7ab0xqUKfZe4c2ABwIQJE3D48GH0798fPXv2xJw5c3Dt2jUUKFAAtWrVQpYsWRAREYGiRYvCzs7OwCNPfzExMZg3bx5u3boFDw8P7N27F2fOnAEANG3aFACwePFiTJ48GWPHjkWtWrUwePBgrcdQq9WMfyZw4cIFuLq6ak179OgR6tSpg4oVK0orgfGvoP7+/XscPnwYlpaWuH79OhQKBVcWiShF2O6ksd2UUmw3EekT2500tptSiu0mQ+An3ilVvt67N2nSJCxevBi7du1C8eLFUaBAAa3bR0dHw9/fH4MGDYK/vz8uXryY5AVeTI2dnR3Cw8Oxbt06/PLLL9IV5YEve+aXLl0KMzMzjBw5Ej/++KOBR0v6NnPmTPz11184f/681nuqTZs2CAgIkFYa4/a6q1Qq3Lx5E6VKlcLnz5+RJ08eyGQyrdcVEVFi2O6UY7spOWw3EekL251ybDclh+0mQ+HJqyhV4i+oXr58iYMHD2L58uX48ccfpfhrNBoAQGxsLLZs2YLevXsjKCgI58+fh5mZGdRqtUHGnt7ifm7gy2FJtra2KFeuHEaOHImrV6/CzMxMuhhH06ZN4enpibdv32Lv3r2GGjIZ0JgxY3DmzBnIZDI8efJEmt66dWu8e/cOW7ZsAfDf+ef8/f3x22+/4fLly7C1tYVMJoNGo2H8ieib2O6ksd2kC7abiPSF7U4a2026YLvJULjhnXTSoUMHrF+/Xmva58+fcf/+fWTPnl1rulwuR3R0NJRKJcqXL48OHTrgzJkzUCqVUKlUJrnAin8usGPHjuHjx4+4c+cOrly5gjJlyqBly5bw8/PTWoHy8PDA+vXrMXv2bEMNmwxEpVIBABQKBQ4cOICSJUti//79AABnZ2eUKlUKvr6+WLlyJWJjY3H//n0MHDgQQUFBWp/S4AWAiCg5bHfy2G7SBdtNRPrAdieP7SZdsN1kSHzVUIr5+/vDxcUFHTp0SDDP3t4e7969k/Yox/197NgxzJs3D1WqVEHPnj2lPe6meD6s+OfdGzNmDIYOHYrDhw8jKCgIAPDnn3+idOnSaNWqFS5cuICwsDC0bt0av/76K8qVKwe5XG6yn0aghGJjY6X3wcuXL+Hh4YEePXqgU6dO2L9/P4oWLYqZM2fC3t4eU6ZMga2tLVq3bo3AwECcOXPGpD+9QkRph+1OHttNumC7iUgf2O7ksd2kC7abDE4QpcKSJUvElClTpO/btWsn8ufPLy5evChN+/Tpk2jatKno3r270Gg0hhimQUyePFnkzZtXnDx5UkRFRWnNi42NFW5ubsLCwkKUL19eODk5iZiYGAONlAzl6NGjYujQoUIIIQYOHCgaNGggPn/+LIQQonfv3iJr1qzi77//FkIIERwcLF68eCE2b94sTp8+LVQqlRDiy2uJiEgXbHfS2G76FrabiAyB7U4a203fwnZTRsCLq1KKxD+US6PRYPDgwTh06BD69++PkSNHAgDc3Nxw48YNtGnTBtmyZcPly5cRFBSEGzduQKFQJLgwjClYvXo1evbsKT03r169QvPmzTF27Fi0adMG/v7+ePbsGfbt24d8+fJJV0/38fGBXC5Hp06deFXsTEalUmHixIk4cuQIFAoFHj58iAsXLqBUqVLSbfr06YPNmzdjx44d+OmnnxI8Bi/oQkQpwXYnju0mXbHdRKQvbHfi2G7SFdtNGQU3vNM33bt3Dw4ODrCyssKECRPQtGlT5M+fH0uXLsWff/6JXr16SSsB48ePx6NHjxAWFgYnJyfMmTPHZAN38OBBjB07Fn5+ftIKQGhoKBo3bowmTZqgWrVqWL9+PR49egQzMzPcvXsXv/76KyZNmqT1OFyYZ04NGjTAyZMn0bVrV6xbtw6A9muhb9++2L59O3x8fNCyZUsDjpSIjBHbnTi2m74H201E6YntThzbTd+D7SZD44Z3SpJGo8Hjx49RunRpzJ07F48fP8a6deukC5a8ePECy5Ytw549e9CjRw+MHj0awJdzaMnlcmlBZorxjxP3iYRTp06hdu3aUKvVGDx4MG7evInLly9jxIgR8PDwwI8//oiuXbvCwcEBM2fONPSwyQDif3rl8+fPmDRpEiIiInDr1i04Ozvj999/h4WFBWJjY6FUKgEAv/zyC4KCgnDs2DFDDp2IjAjb/W1sN6UU201E+sB2fxvbTSnFdlOGY7CT3JDRWL16tbCwsBBZs2YVZ8+eFUII6dxxz58/F6NHjxZOTk7ijz/+SHBfUzzHnEajkc73JYQQt2/fFjKZTHh5eQkhhIiKihL37t0Tt27d0rpf7dq1xcSJE/U5VMog1Gq19PXatWvFlStXpOkTJkwQzs7OYsSIEVrnJnz06JFQq9Va9yUiSim2WxvbTbpiu4lI39hubWw36YrtpoxIbugN/5QxCSGkK6Tny5cPsbGx+Pz5My5fvoyQkBDpnHGOjo7o378/WrZsialTp2Lr1q1aj2Nq55YDgLCwMOlTBVevXkW5cuXg4+ODuXPnYty4cbCwsEDp0qVRvnx5fPz4EXfv3oWHhwfCw8Mxfvx4A4+e9E0IIe1xHzNmDMaNG4ejR48iKCgIcrkcY8aMgZubGy5cuIBff/0Vb9++RcOGDTFu3DjI5XLI5XJoNBoD/xREZAzY7qSx3aQLtpuI9IXtThrbTbpguynDMtgmf8qw4u/pe/78ufT18uXLhUwmE7///rsICQnRuk9QUJBYsmSJ1h5pU3TixAnx888/i8DAQDFkyBBRuHBhERQUJIQQYv369cLMzExMmDBBuvK1j4+P8PDwEI0aNZKuom7qzxElztvbW+TJk0dcu3ZNeo/FvRaioqKEt7e3KF++vMifP7+oXr26iI6ONuRwicjIsN1JY7sptdhuIkpPbHfS2G5KLbabMhpueCct8eM/adIk0bhxY7F//35p2oIFC4RMJhPe3t4iODhYCCFEp06dxNWrV6XbmHLg1q9fL3788Ufh5OQkcuXKJZ4+fSqE+O/QvriVgN9++00I8WXBfvToUel5jVsxINM2bNgw4efnJ30fGRkp2rVrJxYsWCCEEOLZs2diz549olGjRuLXX38Vd+7cESqVSjx8+FAcO3ZMeg/x9UJEKcF2J4/tppRgu4lIn9ju5LHdlBJsNxkD07zyBqWK+OrQnDVr1sDX1xeVK1eWbjNkyBCo1WqMGjUK169fx7Nnz/D+/Xv4+PhItzHlK4V36dIFx48fx+nTp1G/fn2ti9cIIdClSxcAQO/evREcHIxFixahYcOGAL5c5MNUL3ZD/7l06RJiYmJQoUIFaZqFhQVevnyJDx8+oGjRoli8eDGio6NhZ2eH7du3IzQ0FKtXr0bJkiVRsmRJAF+utM7XCxF9C9v9bWw3fQvbTUT6xHZ/G9tN38J2k7GQCfH/JxSjTOvZs2coWrSo9P3JkyfRu3dv7NixA5UrV0Z0dDSCg4Nx4cIFeHh4IGvWrFi7di3OnTsHpVKJRYsWQalUQq1Wm3T8Y2NjAQBr165FREQEDh8+jOzZs2P69OkoXbq01s+/atUqbNiwAadOnTLJ8+1R8oQQkMlk2Lx5M2xtbdGoUSNcuXIF3bp1Q3BwMPr16wc3NzfUrFkTc+bMwbFjx7Bnzx5YWFgYeuhEZCTY7pRhuyml2G4iSm9sd8qw3ZRSbDcZA254z+Rat26NbNmyYf369dK048ePo3fv3jhz5gw+fvwIX19fbNu2DZGRkbCyssKDBw+gVCoRHR0tLbBUKpVJ7iXUaDTSpxG+tm7dOvj6+iJnzpz4/fff4eTkBAA4ceIE6tevL90uLgZk+uK/D/z9/dG8eXNYWVlh8uTJqFWrFlQqFQICAlCgQAEAX15fHh4eKFq0KJYvX27IoROREWG7k8d2ky7YbiLSB7Y7eWw36YLtJmPCDe+ZXHh4OCwtLWFubo7AwEDkzZsXN2/exIABA/Dp0ye8fv0aLVq0QI0aNVCzZk3UrFkTixYtQocOHQw99HQXP/5btmzBzZs3kSNHDlSqVAnu7u4AAF9fX2zYsAEWFhYYMmQI5s2bh6CgIFy+fJnRz2Tev38PW1tbAMCaNWvQrl07XLhwAYsWLUJMTAzGjBmDevXqAfjyvjt9+jSWLVuGV69ewc/PD0qlkiuLRJQibHfS2G7SBdtNRPrCdieN7SZdsN1kbExvVymlWExMDKytrQEAixcvxqJFi7B7925UrFgRM2fOxI0bN1C0aFHUrl0bNjY2+PDhAwoXLiwt5ExZ/PPujR49Ghs2bECNGjUQHh6OnTt34vnz5+jXrx+6desGc3NzbNiwAX369EGxYsVw/vx5LsQzmTNnzuDnn3/G1atXsXTpUmzYsAGNGjWCm5sbNBoNFi5ciJkzZ8LMzAx16tTBkydPsGPHDiiVSly7dg0KhcJkP71CRGmL7U4a2026YLuJSF/Y7qSx3aQLtpuMkv6u40oZVXh4uAgJCREFCxYULi4u4t69e1rzY2JixJs3b8TPP/8sXFxcTPrq6V9bunSpKFKkiLh48aIQQoiVK1cKc3NzUbhwYTFnzhzpdu/evRMPHz7kVdQzKZVKJVq2bCly584tsmfPLm7fvq01/+DBg6Jx48bC3d1dnD9/XgghxPPnz/l6IaJUY7uTxnZTSrDdRKRvbHfS2G5KCbabjFHiJ9Eik3bw4EGsW7cOADBs2DCMHj0aOXLkwK1bt+Dv748ePXrg9u3bAL6cO2v16tXo0aMHAgMDcfr0aZiZmUGtVhvwJ0g/Go1G+jomJgaPHj1C37594ezsjL1792LUqFEYP3486tWrB29vb6xYsQIAYG9vj5IlS0Iul/Mq6pmQmZkZKlSogODg4EQv1OLh4YEhQ4ZAoVBg0KBBuHnzJhwdHfl6IaIUY7uTxnZTarDdRJTe2O6ksd2UGmw3GSVDb/kn/QoNDRV9+/YVRYsWFT///LPImjWruHnzpjQ/ODhYFC5cWLi4uEh7Dw8fPiwWLVok7XE31b2EHz58kL6O29MeHBwsnj59Kp4+fSpKliwp5s6dK4T4sic1a9asImvWrGLjxo0GGS8Zlkaj0fre399fXL9+XbRp00bY2dlJr6H4n1Q5duyYGDZsmLTHnYgoJdjupLHdpAu2m4j0he1OGttNumC7ydhxw3sm9PLlS1GuXDkhk8nEtGnTpOlRUVFCiC/RK1KkiHB1dRW3bt3Suq+pHu525MgR0aFDB/H8+XMxZMgQYWNjI96/fy/N37Ztm6hUqZIICgoSQghx4sQJ0bp1a+Hj42Oyzwkl7euAR0ZGSl9//vxZNG3aVNjZ2YkrV65I06dNmyZCQ0OTfAwiouSw3Qmx3aQLtpuI9I3tTojtJl2w3WQKeKqZTEQIAQCQy+WoWLEi2rRpg82bN0uHv1lYWCAqKgo5c+aEn58fbt68iQULFmg9hpmZmb6HrRfv37/H/fv38fPPP2PTpk24fPky8uTJIx0CZ2lpiXfv3uHo0aMIDw/HnDlzUKBAAXTr1s2kDwGkhDQajXQBoEWLFqFTp05o3Lgx1q1bh6ioKFhaWmLXrl1wdnaGu7s7FixYgHr16mHz5s2wsrKSHifuMYiIksN2J43tppRiu4lIn9jupLHdlFJsN5kMA2/4Jz1Iag/fw4cPxYABA0SpUqWEj4+PNF2lUomYmBgRGRlp8nuVg4ODpa+7desmZDKZaNq0qXj48KHW7Z48eSI6d+4scuXKJRwdHUWFChVETEyMECLhoU+UOYwZM0bky5dPjBgxQkydOlXIZDIxadIk8fbtW+k2PXr0EDVq1BDNmjWTXi/c405EKcF2J43tptRiu4koPbHdSWO7KbXYbjJ2MiH+f3csmaT4ewnPnz+P8PBwZM+eHTVr1gQA3Lp1CytWrMA///yD4cOHo3fv3mjSpAkqVKiAGTNmAADUarVJ7nHft28fDh06hBo1aqBjx45YvHgx1Go1tmzZgpIlS2LYsGGoXLkyhBCQyWR49uwZXrx4AX9/f7Rr1w5mZmZQqVS8QEcmtHXrVowdOxbbtm1DtWrVcPHiRdSoUQMymQyenp4YM2YM8ufPDwAICAhA3rx5IZPJ+HohohRhu5PGdlNqsd1ElJ7Y7qSx3ZRabDeZAr4STZgQQor/2LFj8eeffyIiIgKOjo4oWrQoNm7ciAoVKqBfv34wNzfHiBEjMGfOHAghsGfPHulxTDH+a9euhZeXF/r06YOCBQsCAAYNGgQAyJs3L+bOnYv58+djxIgR+OGHHwAAL168QL169aTHUKvVXJhnEl+vBGs0GowcORLVqlXDvn370LlzZ2zZsgUymQwdO3aEjY0NevfuDUdHR9jZ2QH48n7k64WIvoXtThrbTbpgu4lIX9jupLHdpAu2m0ySIT5mT/o1Y8YMYWdnJ86ePSuioqLEmDFjhEwmE02aNJFu8+rVK/HPP/+I5cuXm/xV1Hfs2CGsrKzEtm3bxOfPnxO9zebNm0W1atVEu3btxI4dO0Tjxo1F8eLFeXhbJhQQECB9vW7dOvHkyRPh7+8vXr58Kd69eyeqVKki/vjjDyGEEC9evBC2trZCJpOJefPmGWjERGQK2G5tbDfpgu0mIkNgu7Wx3aQLtptMFTe8m6D457J6/PixaNiwodi/f78QQoiDBw8KKysrMWDAAFGoUCHRvHnzRB/DFM8xp9FoREREhGjVqpXw9vbWmvfq1Suxf/9+sWrVKhEWFiaEEGLXrl2iUaNGolSpUqJu3bo8t1wmdOHCBSGTycT9+/fF//73P5EvXz7x/Plzaf7t27dFmTJlxPnz54UQX1YAxowZI44cOWKyK9BElD7Y7sSx3aQrtpuI9IXtThzbTbpiu8mU8fgLExR3mFtYWBiKFy+Ozp07o0qVKvi/9u47PIpy8dv4d5MNHaIHkB5KBEFKKIICHkRAkSaC+gLSqwEBUREQlQ7SpQnSOQgC0lGkSScgLRTpypFOIgcIIY0ku8/7B7+sibQENrsp9+e6ziXOFp/l7Mw918zOPLt371anTp00btw4denSRcYYTZ8+XdWqVdPu3bsTvEdavMzNYrEoY8aMOnfunPz8/BzLx48fr23btmnDhg3Knj27vvrqK23dulVNmzZVlSpVFB0drSJFisjDw4N7haUzxYsXV9u2bVW5cmV5enrq8OHDKly4sOPxmJgYnTlzRgEBAYqJidGoUaMUExPjuE8j3xcAiUW77492I6loNwBXod33R7uRVLQbaZmHuwcA59m8ebOmTZsm6e590/r27StJatu2rfLkyaO1a9eqTp06atOmjSSpWLFiaty4sUqVKiWbzea2cbtSVFSUChcurAMHDmjixIlq0KCBZs6cqTJlymj79u06fvy4MmbMqD59+kiSChYsqGLFisnDw0N2u52NeToRFBQkY4xy5sypUqVKKTw8XDExMbp165aku/eaM8aoQoUKGjt2rPr27asOHTro+vXrWrt2reN9+L4AeBTa/Wi0G4lBuwG4Cu1+NNqNxKDdSA8sxhjj7kHgyRhjdPv2bX3wwQc6c+aM/vWvf2nXrl369ddfVbp0acfzmjVrpnPnzmnv3r2KiYlR8+bN9corr6hnz56SEs7EnpYdOHBA/fr1U0hIiLJmzaoxY8boueeek7e3t2JjY9WyZUtly5ZNs2fPdvdQ4QbLly/X1KlT1bJlS7Vr105Xr17VlStXNH36dC1evFgbN25UtWrVFB0drQwZMkiSLl26pNDQUJUsWZJfaABIFNqdNLQbD0O7AbgC7U4a2o2Hod1IL/iGpgHGGOXIkUMjR45U/fr1tWHDBn3xxReO+MdtjFq2bKlPPvlEFStWlKenpyIiIrRkyRLHe6Tl+Mft3Bhj9MILL2jlypWyWCzKli1bgufduXNH165dU7ly5dw0UrjT7Nmz9emnn+qTTz5xXOZYoEABFShQQD4+PoqKitLrr7+uzZs368UXX5QkjRo1Sk2bNtXzzz8vSfxCA0Ci0O5Ho91IDNoNwFVo96PRbiQG7UZ6wi/eU7ldu3bpt99+U4sWLRQTE6OPPvpIYWFhun79ut577z117drV8dzQ0FBt27ZNmzZtUpYsWTR8+HBZrVbZbLY0eW+57du3a8mSJZo6deoDn2OMkcVikc1mU1BQkDp37qy//vpLv/76KxvxdObnn39Wu3btNG3aNL399tv3fc7t27f1/vvva8WKFRoxYoR+/PFH3bhxQ4GBgWlyHQKQPGj3g9FuJAXtBuAqtPvBaDeSgnYjvWELl4rNnz9fQ4YMUe3ateXn56dq1appwYIFunjxogYMGKDvvvtOFotF/v7+kqQcOXKoevXqevPNNx3vkVYvzTHGKDg4WJcuXdL58+dVuHBhR+zjs1gsunHjhr755hsFBAQoNDRUe/bsSdM7Rri/rVu36q233lLjxo0dy3777Tft3btX586dU4UKFfT2229rwYIF6tOnj77//nsVKVJEGzdulKenZ7q5ZBTAk6HdD0a7kVS0G4Ar0O4Ho91IKtqN9IZfvKdS8+fP1wcffKApU6aoQYMGypUrV4LHT506pdGjR+vMmTNq1qyZevTooddee00VKlTQ6NGj3TRq1woODlaDBg1Uv359DRky5IHP+/333zV27FgVKFBA/fv3l9VqTbM7Rri/2NhY1a1bVwULFtR//vMfSdKQIUMcE/9kzpxZnp6e8vf3V+/evSVJ165dU65cuWSxWPi+AEgU2v1otBuJRbsBuALtfjTajcSi3UiPOPCeCp07d05NmzZVz5491a5dO8fy2NhYnT9/Xk899ZRy5sypc+fOadSoUVq3bp08PT2VOXNmHTp0SF5eXu4bvIvEnWXfsWOH2rZtq3nz5umVV1554PMiIiKUJUsWSeKMezo1a9YsdenSRR07dtShQ4d048YNvf/++2rZsqUKFiyo5s2bKzg4WGvXrnV8VyTd9xcdAPBPtPvRaDeSinYDSE60+9FoN5KKdiO94fqMVOjGjRv666+/VKFCBcey7777Tm3atJGfn5/KlCmjyZMnq0iRIvriiy80f/58ffnllzpy5Ii8vLwUGxvrxtG7hsVikTFGlSpV0ptvvqnt27fLZrPJbrff8zxJjg26MYb4p1NNmzbVpEmTdPXqVT3//PPavHmzevbsqYIFC0qSY+Kff17WRvwBJAbtfjTajaSi3QCSE+1+NNqNpKLdSG/4xXsqdOzYMbVq1UotWrRQu3bt1LdvXx07dkwlS5ZUo0aNdPjwYY0bN067d+/WCy+8kOC16fGs8qJFi9SvXz9t3bpVxYoV40wpHnpfuPutIxEREWratKmKFy+uyZMnu2KIANIY2p00tBv/RLsBuBrtThrajX+i3QAH3lOlO3fu6KOPPtIvv/yia9eu6ZlnntHo0aNVvXp15cqVS3a7XQUKFNCXX36pbt26uXu4KUK7du30119/admyZQkuV0L60qpVK3Xv3l0vvfRSoiZliYqKUnBwsPz9/RUcHKx9+/bJarWyEwkgyWh30tFuSLQbgPvQ7qSj3ZBoNxAft5pJBeJfpmW325UxY0aNGzdOy5cv14oVK3Ty5Ek1btzYMdHL2bNnlTdvXhUrVsxdQ04x4v7uunbtqkyZMunXX39NsBzpx61btxQUFKR69eopMDBQHh4eD/0ehIeHq3///mrdurUiIyO1d+9eWa1W2Ww24g/gkWj346PdiEO7AbgS7X58tBtxaDeQEL94T8G2bNmiWrVqSUp4ic7DzhiGhYXpvffeU3h4uDZu3JimL2970N/D/S5ZiomJUcuWLWWxWLRkyRJXDREpiDFG165dU/fu3bV+/Xpt27ZNFStWfOD3KCgoSFu3blVISIi6dOkiT09PZlEH8Ei0++FoN5KCdgNwBdr9cLQbSUG7gYQ48J5CTZo0SVOmTFH//v0dM6g/LPwhISHauHGj5syZo6CgIO3fv19eXl5p9t5y8f8udu3apaioKEVHR6t+/foPfG5QUJAqVaqkwYMHq1OnTq4eMtwofrh/++039ezZU2fOnNG6detUrly5B65b8S9tS6vrEgDnod0PR7uRFLQbgCvQ7oej3UgK2g3ci1NIKVSNGjV08OBBzZo1SzabTR07dnRconO/DdXs2bO1e/duFSxYUD/99JOsVmuaPksY93fQr18/rVq1SlarVXfu3NHYsWO1aNEi5cmTJ8Fz7Xa78ubNqw8++EBhYWGKiIjgnnPpSNx68MUXX2jXrl2S7p5Zf/XVV7Vp06YHnoGPf2kb8QfwKLT74Wg3koJ2A3AF2v1wtBtJQbuB+zBIcWJiYowxxvzxxx+mc+fOpkaNGmbBggWOx2022z2viYqKMqdPnzZ2u90YY0xsbKxrButGEyZMMDlz5jT79+83xhgzefJkY7FYzPbt2x3Pifv7iPPHH3+YgwcPunScSBlmzZplsmbNanbv3m2CgoJMQECAadCggfH29nZ8J+63bgFAYtDuxKHdSAraDSA50e7Eod1ICtoNJMTkqimM3W53nCU8efKkPDw8dOLECQ0ePFgLFy6U9PeZ5DjGGGXMmFElSpSQxWKRMSZdnCU8efKkBg0apBdeeEHLly/XF198oW+//VY1atRQRESEJN0zGYevr68qVqzojuHCzc6ePau6deuqatWqypMnj6pVq6YpU6aoYsWKql+/vo4dOyYPDw8Z7r4FIIlod+LRbiQF7QaQXGh34tFuJAXtBhLiwHsKE3fJTd++fdW5c2c9++yz+uijj5QhQwZNmjRJc+fOdTwvbifgn5FLizM//3MWbLvdrsDAQMXGxmrr1q1q166dRo4cqS5dushms2ns2LH67rvv3DRapEQeHh7av3+/I/DGGBUpUkQtWrTQX3/9pXLlyun06dNpcv0BkLxo9/3Rbjwp2g0gudDu+6PdeFK0G0iIA+8p0O+//66VK1dq+vTp6t27t/r376/vv/9eRYoU0cSJE7Vo0SJJSldnCeN2jEJDQx3/3qxZM61cuVINGjTQuHHj5O/vL+nuhDf79u1TcHCw28YL9/nnzmKcpk2b6qmnntKQIUN0+/ZtR+gLFy6sDh06aOjQofL19XXlUAGkIbT7XrQbiUW7AbgD7b4X7UZi0W4gcTjwngJlz55d4eHhjthJUrly5fTll1/qypUrGjFihL755htJafMse3zxN+YrVqxQwYIFdenSJUlS1apVdfPmTfn5+cnPz0+SdOHCBbVp00b/+9//1KtXL3cMGW4Uf6KWRYsWaciQIRo0aJC2bNmiihUr6q233tLGjRs1YMAAXbx4Uf/97381efJkWSwWff75547JkQAgqWj332g3koJ2A3AX2v032o2koN1A4nHg3c3ud+bcbrcrf/78OnbsmKKjox3PKVOmjCpXriy73a4zZ86k+bPu/9yY//HHHwoLC1P9+vV14cIFVatWTaNGjVJkZKTatm0rX19fvfPOO/rf//6nnTt3ymq1ymazuflTwJXivi99+vTRxx9/rIsXL2r//v3q2LGjJkyYoAEDBqhOnTravXu3ChcurDfeeEMXLlzQ1KlTJd1dH+Pu9QgAD0K7H4x2I6loNwBXoN0PRruRVLQbSDyLSesVScHiB+7ChQuKiYlRgQIFlClTJi1cuFCtW7fWpEmT1L59e2XNmlURERFq3769GjZsqFatWjkmdEnrZ9/79OmjxYsX66OPPtLZs2f1yy+/KCIiQjt37lThwoV1/PhxXb58WSdOnNBzzz2n119/XZ6enoqNjWVjng6tWbNGPXr00A8//KAXX3xRCxYsUOfOnTVjxgy1bt1adrtdMTEx2rx5s7Jly6bq1avzfQGQaLQ7cWg3koJ2A0hOtDtxaDeSgnYDiWTgFna73fHngQMHmrJly5pixYqZokWLmhkzZhibzWYmTJhgPD09zTvvvGM6depkXn75ZePn52dsNpsxxjj+mZadPHnSFCxY0KxZs8ax7OjRo6Z69eqmcOHC5sKFC/d9XWxsrKuGiBRm4sSJpl69esYYY5YuXWqyZ89upk2bZowx5tatW2bv3r33vIbvC4DEoN2JQ7uRVLQbQHKh3YlDu5FUtBtIHG414yZxZ8uHDx+uadOmaeTIkTpz5oyKFSumoUOH6tSpU/rwww+1YsUK5cqVS1evXlXJkiW1f/9+x8zqcWft07KwsDDduHFDRYsWdSwrXbq0xo4dq5CQEDVs2FBBQUGSlODyNk9PT5ePFa53vwldrFarChcurA0bNqh9+/YaPXq0YwKgjRs3au3atbpx40aC1/B9AZAYtDtxaDcehnYDcCXanTi0Gw9Du4En4O4j/+lZaGioqVWrlpk/f74xxpi1a9cab29vx1nCmJgYY8y9Z9jjlqc18X+NECc6OtqUKVPGfPrppwkev337tqlevbrJlSuXKVasmAkLC3PlUJECxF8vVq1aZf744w9jjDEBAQHGYrEYi8Vi5s2b53hOeHi4ef31103Xrl3v+10DgMSg3QnRbiQF7QbgDrQ7IdqNpKDdwJNJ+6duUxDzj9vph4eH68KFC3r99de1detWNWvWTCNHjpS/v78iIyM1efJkXbx4McEZdpNGJ6Gw2+2OXyNcv35dly9fVlRUlLy8vPTOO+9o586djhnl4+TPn1/z5s1TtmzZNGrUKHcMG25ijHGsF/369VOPHj20evVqhYWFqVq1avr222/l6emp69eva9++fdq7d6+aNGmi4OBgTZo0yXGfRgB4FNr9YLQbSUG7AbgK7X4w2o2koN3Ak0t7JUmh4l+iFhQUpLx58ypv3rwqXry4mjdvrgMHDmjixInq0KGDpLsRXLFihfLnz69mzZo53ictTugSf2M+aNAg7dixQ4GBgWrUqJHq1Kmjzz77TJcuXdK8efO0ceNG1axZU8uXL5ck1alTR2PHjtWVK1fc+RHgYnHrwfjx4zVr1iytX79eJUqUULZs2SRJrVq1UmRkpIYMGSIvLy8VKFBAuXPn1v79+2W1WmWz2bjMDcAj0e4Ho91IKtoNwBVo94PRbiQV7QaenMVw+inZxY//yJEjdfLkSbVv3141a9bUd999pyFDhqhYsWLasGGDpLv3V2vWrJkiIyO1adOmNLuhMv+YGX7QoEGaMmWK5s2bp1y5cmnAgAE6evSojh49KqvVqlWrVmnx4sWKjIxUvnz5NH/+fGXKlElvvfWWypQpo6FDh0pKmztJuFdsbKxatGih8uXL6/PPP3esZ/G/V+fOnVNoaKgyZ84sX19feXh4MIs6gESh3fdHu/EkaDeA5ES7749240nQbuDJsBa4QPxLc2bPnq3p06erSJEikqTGjRvr1KlTWrFihSpXrixfX19duHBB4eHhOnDggDw9PdPkWcK4jXXcPy9duqRNmzZpwYIFeuONN7RlyxYFBARo8uTJeuaZZyRJHTp0UIcOHXTnzh1lzJhRktS3b1/t3r1bo0ePJvzpTEREhPbs2aOyZctKUoL4R0VF6fr16471LI7dbif+ABKFdt+LduNJ0W4AyYl234t240nRbuDJcI93FwkICNCKFSu0fPlyNW3aVEWKFJExRjly5FCfPn00ZcoU+fn56ZlnnlGTJk108OBBeXl5KTY2Ns3FP+7eYDabzbFz5OXlpZs3b6pcuXJavXq1GjdurHHjxqlDhw6KiorS3LlzdezYMUlSxowZdfz4cXXo0EHLly/Xhg0bVKJECXd+JCSz+82inj17dtWpU0f79+/Xn3/+KenvX10cPXpUAwYM0F9//ZXgNfHv2wgAj0K7/0a7kVS0G4A70O6/0W4kFe0GnI+1wUWCg4MVHR0tX1/fex7z9vZW7dq1NWvWLE2aNEmffvqp435Yae0sYXh4uEJDQxUYGKgBAwbIZrNJkqKjo+Xp6amxY8eqffv2GjVqlPz9/SVJZ86c0cqVKxUcHOx4n9KlS6tly5basmWLKlSo4JbPAteIf8no2bNndebMGUl3Y1+rVi0dO3ZMc+bM0dmzZyVJN27c0PDhw3XhwgXlypXLbeMGkPrR7rtoN5KKdgNwF9p9F+1GUtFuIHmkrbqkQHEbr6ioKEl/z7AefzbxFStWKEeOHKpTp06C16a1M+5nzpxRiRIlNGLECI0ePVqbN2+WMUZDhgxRoUKF1Lp1a/Xr10/+/v7q1q2bpLs7DP3791dMTIxq1qwp6e+/09q1a7vx08BV4uL/2WefaeHChYqOjlbp0qX1n//8R23atNHNmzc1e/ZsLV26VLlz51Z4eLhsNpsOHDiQ4LJKAEgs2v032o3HQbsBuBrt/hvtxuOg3UDyYHJVJ3vQxubatWsqUaKEmjRpojlz5jiWR0REqHnz5qpevbr69u3ryqG61KhRozRlyhQtXbpUL730kkJCQjRy5Eht27ZNNWvW1LBhw2S1WtWzZ09NmTJFHTt2VExMjC5cuKBr164pMDBQXl5ebMzTkfj/Xy9dulR9+vTRmDFj5OnpqcGDB+vOnTtavny5nn/+eQUEBOjEiRM6ceKEihcvri5dushqtTKhC4BEod33R7uRVLQbgKvQ7vuj3Ugq2g0kLw68O1H8WZ2nT5+uw4cPq1ChQqpbt64qVaqkNWvWqFWrVqpdu7ZatmwpLy8vffPNNwoKClJgYGCa3lBt2LBB06dP18WLFzVp0iRVrVrVsROwdetW1a5dW0OHDpWnp6dmzpypLVu2yNPTUyVKlFD//v3ZmKdjy5cvd9wzrmvXrpLu/iLjlVdeUVhYmJYvX67SpUvf87q0ODkSAOej3Q9Gu/G4aDeA5ES7H4x243HRbiB5cODdSeKfJfz88881Y8YMVa5cWUFBQYqNjdXEiRP16quvav/+/ercubPCwsKUJUsWFS1aVMuWLZOXl1ea32Bt375dEyZM0Pnz5zVlyhRVq1ZNISEhGjVqlDZv3uzYCbBarYqKilKmTJkcr03rfze4v5s3b8rX11chISH6/PPPNXToUMeOdnh4uGrWrKmoqCjNmzdPlSpVcvdwAaQytPvRaDeSinYDSE60+9FoN5KKdgPJhwPvTnb69GlNnTpVrVu31gsvvKD9+/dr0qRJ2rlzp2bOnKnXXntNERERunnzpiwWi/LlyyeLxZKmzyrH/0XC1q1bNXnyZJ07d+6enYC4y9/idgKQvsV9b86ePat3331XFotFq1evVsGCBR2PRUREqFSpUvr3v/+tBQsWuHvIAFIp2n0v2o3HQbsBuArtvhftxuOg3UAyM3CaZcuWmYIFC5ry5cubK1euOJYfOnTItGrVyhQtWtRs3LjxntfZbDZXDtNlHvS5tmzZYho3bmwqVKhgAgICjDHGhISEmP79+5tixYqZadOmuXKYSCEeth788ccfpmjRouaVV14xV69eNcYYY7fbjTHGREVFmdjYWJeMEUDaQ7sTot1ICtoNwB1od0K0G0lBuwHX4hfvTvTTTz/p22+/1bZt27Rr1y6VL1/e8diRI0f09ddfa8mSJdq1a1eavzwn/iWAmzZtUkREhKKiotSsWTNJ0u7duzVq1ChdvHhR33zzjapWraqbN29qyZIl6ty5M5e3pTPxvy9z5szR6dOnFRQUpN69e6t06dLy8PDQ2bNnVadOHRUpUkSLFi1S3rx5E/yqg8siATwO2v032o2koN0A3IV2/412IyloN+AGbj3sn4o96Czh5s2bTa1atUz58uVNYGBggsf2799vhgwZkq7OEn7yyScmX7585rnnnjPZs2c3L730ktm5c6cxxpidO3eaJk2amBdeeMFs3bo1wevS098R/ta3b1+TP39+06JFC/PWW28Zb29vs3DhQhMaGmqMuXsG3tfX15QuXdpcv37dzaMFkNrQ7sSh3UgK2g0gOdHuxKHdSAraDbgOB94fQ/z4Hzt2zBw/ftycPn3asWz9+vWmUaNG5oUXXjCHDh2673ukh8DNmTPH5M6d2wQGBpqgoCBz9epVU6VKFVOxYkVz9OhRY8zdHaYaNWqY9u3bG2P+vowJ6c/MmTNNoUKFHDvOO3fuNBaLxeTIkcPMnDnT3L592xhjzKlTp8zbb7+dLtYhAM5DuxOHdiMpaDeA5ES7E4d2IyloN+Ba3GomiUy8S2wGDBig1atXKzg4WCVKlNCbb76p3r17S5LWr1+vadOmKTg4WJMnT1blypXdOWyXivs76t+/v44fP67Vq1c7JrGJiopSpUqVVKxYMf3444+SpEOHDsnPz89xyRPSh/iXucXExGjy5MnKkSOHOnXqpNWrV6tNmzaaNm2a9u7dq3nz5mnSpEl666235O3t7XgPLnMDkBi0+9FoNxKDdgNwFdr9aLQbiUG7ATdz3zH/1G3w4MEmd+7c5pdffjGnTp0y7du3NxaLxQwaNMjxnPXr15tq1aqZjh07unGkrnH48GGzatUqs2vXLsey9u3bm+rVqzv+PSIiwhhjzM8//2zy5Mlj/vjjjwTvkVYnu8HDnThxwhhz9zt08eJFc/bsWVO6dGkzYcIEY4wxgYGBxmq1GovFYtasWePOoQJI5Wh3QrQbj4t2A3AV2p0Q7cbjot2Ae3Cq8zEcOHBAGzZs0A8//KDatWvr3LlzWrZsmd5++22NHTtWQ4cOlSTVrVtXX3/9tWbMmOHmESevhQsXql27dpozZ47Wrl3rWN6+fXsdOXJEEyZMkCRlzpxZ0t2zrLly5VL27NkTvA9n3tOfpUuXql69epIkPz8/FSxYUH/++ae8vLxUt25dSXfPrvfr108TJ050PBcAkop2J0S78bhoNwBXod0J0W48LtoNuJG7j/ynBv+8/1lISIgZMWKECQsLM5s3bzZ58+Y1M2bMMLdu3TKvv/66sVgsplevXglek1bPKv/nP/8xmTNnNosWLTI3b95M8FhISIgZMGCAKVq0qPnqq69MSEiIOXfunGnYsKGpW7cu95WDCQ0NNXnz5jXDhg1zLFuyZInJmDGj2bBhgzl16pRp2LChadu2rePxmJgYN4wUQGpDux+MduNJ0G4AyYV2PxjtxpOg3YD7cI/3JPjqq69UsmRJNWnSRNHR0cqQIYO6dOmiTJkyaezYscqQIYN69uypI0eOyNvbW6tXr3bcly4tOn78uJo1a6ZevXqpU6dOjuUm3v34Lly4oMWLF2vYsGHKkiWLsmfPrqeffloBAQHy8vJKcL8xpG3/vC9cdHS0rFarBg8erEOHDmn27NnKnTu3JKl58+b64Ycf5OPjo3/961/au3evvLy83DV0AKkY7U6IdiMpaDcAd6DdCdFuJAXtBlIWtryJFB0drd9++03z589XaGioMmTIoOjoaB0+fFjh4eHKkCGDIiMjdfXqVb3//vtas2aNLBaL0vJ5jcuXLysiIkI1atRI8Dnj4m+MkY+Pj/r06aOTJ09q+vTpmjlzpvbs2SMvLy/FxsYS/3QgJCREkhzxP3v2rCQpQ4YM8vDwUIMGDbRlyxb98ssvjtcsXrxYGzZs0Lx587R//37H9wUAkoJ234t2IzFoNwB3od33ot1IDNoNpExsfRMpQ4YMqlevno4dO6ZLly45ljVr1kwbNmxQq1atVKdOHf3xxx9q1qyZpIRnoNOigwcP6vbt2ypRosR9d3YsFotOnjypbdu2qUCBAmrcuLFq1qwpT09P2Ww2Wa1WN40crtKlSxeNHDlSQUFBkqRFixapQYMG6tGjhy5duqSoqChVqVJFH3zwgcaPH68LFy44Xvvaa6/xfQHwRGj3vWg3HoV2A3An2n0v2o1Hod1AysWB9/t40Bm+1q1bq0CBAurbt69jWZMmTfTRRx/pxo0bKlWqlPbt2+fYYKXl+EvSs88+q/DwcG3cuFGS7vt558+fr++///6enYP4lz4h7fL29taiRYs0d+5c3bp1SxUrVtSnn36qn3/+WU2aNJG/v7/Onz+vunXrKlOmTDp16pSku5fHxcf3BcCj0O7Eod14FNoNwFVod+LQbjwK7QZSLg68xzNnzhxJcpzhmzp1qn788UddvXrV8ZyPP/5YQUFB2r17tySpWLFi+uSTT/Tzzz9r1qxZjktz0sMGq1KlSsqQIYNmzJiR4IxpXOxDQ0P1+++/q2zZsml+ZwgJxX0HxowZo/fff1/ffvutpkyZoly5cqljx446deqUWrduraCgIFWqVEnbtm3TkSNHNGzYMEkEH0Di0e6kod14ENoNwFVod9LQbjwI7QZSAZdM4ZoK7Nq1y1gsFvPhhx86llWvXt1UrFjRlC1b1ixbtsz873//M5GRkaZixYrmgw8+cDwv/szp6W3G8EWLFpmMGTOa9957zwQGBjqWX7582dSrV89Ur16d2bDTofjrxJUrV8xbb71lfHx8zLBhw8ylS5eMMX+vK1OnTjWtW7c2np6epnTp0gleCwAPQ7sfD+3G/dBuAK5Aux8P7cb90G4g5bMYk4ZnIUmC6OhorVy5Uh06dFD79u01ZcoUSdKuXbu0evVqzZ49Wy+++KLefvtt5cmTRx06dNBPP/2kF1980c0jdy+bzaa5c+eqW7duypMnj8qUKSO73a5bt27Jbrc7ZlH/58zaSB8+/PBD7d69Wz4+Pvrvf/+r48ePa+DAgerQoYPy5cvneF5ISIj+/PNPlS1bVlarVXa7nQmAADwS7X48tBsPQ7sBJCfa/XhoNx6GdgMpFwfepQQbm+XLl6t58+bq27ev4/IbSdqzZ4+2bt2qr7/+WtmyZdP58+f1zTffqGvXru4adopy+PBhzZkzR6dPn1ahQoVUoUIF+fv7y9PTU7GxsUzQkQ79+OOPatu2rbZs2aLnn39eGTJkUP/+/fXtt9/q448/VpcuXfTMM8/c8zq+LwASg3Y/OdqNf6LdAJIT7X5ytBv/RLuBlC3dr2XGGEf8x4wZo4sXLypbtmwaMWKEIiMjNW7cOElS1apVVbVqVXXr1k0jRoxQUFCQOnfu7M6hpyjly5fXpEmT7lnOrNjpV2RkpHLnzq18+fI5vgMjRoxQdHS0hg8fLqvVqpYtW6pQoUIJXsf3BcCj0G7noN34J9oNILnQbueg3fgn2g2kbPzi/f8MGTJEkydP1ty5cxUTE6PAwECNHj1aXbt21YQJEyRJMTEx8vLySnCmnrOEfzPGMJlLOhd/3ViyZIm6deum48ePK2/evIqIiFCWLFl07tw5+fn5yWazaerUqWrTpo2bRw0gtaLdT452g3YDcCXa/eRoN2g3kHpw4F13zxA2btxYtWvXVt++fSVJERER+uGHH9SpUyf16dNHI0aMkJRwA0fwAOnAgQPKlCmTypQpk2C5MUZVq1ZVbGysDhw44Fh+6tQpTZw4USVLllT37t25ByGAx0K7gcdHuwG4A+0GHh/tBlKndDeLwoPOM/z5558KDg52/HuWLFn0zjvvqHHjxho5cqT8/f0lKcHEE8Qf6d3u3btVpUoVffHFF2rYsKHOnj2r69evS7q7fkyaNEkREREqXbq0fv75Z61bt069evXSX3/9pQ8//FCenp6y2Wxu/hQAUjraDTgP7QbgCrQbcB7aDaRe6e7A+z/ZbDZlzpxZbdu21c6dO7V7927HY9myZVOpUqVUp04dnT17Vna73Y0jBVKeyMhIZcuWTb169VLu3LnVuXNnNW/eXD///LPCw8NVpUoV/fjjjypSpIi6dOmi7t27KyIiQosXL5Z0d4ecM+8Akop2A4+PdgNwB9oNPD7aDaRe6epWM3PmzNHs2bP1+eefy8fHJ8ElOlu3btXQoUOVN29edevWTS+//LJu3bql1q1bq0mTJmrfvr2khJe8AZDatGmjnDlz6uuvv9aWLVv022+/aciQIXrxxRdVp04dffzxx5Kkmzdv6ubNmypSpIg8PDy4TyOARKHdgPPRbgDJiXYDzke7gdQpXRx4N8bIGKMXX3xRx44dU5s2bXTgwAG98847atKkiUqWLClJWrNmjaZMmaJjx47Jx8dHt2/flqenpwIDA2W1Wrm3HBBP3M7wsmXLNHv2bC1YsEA5c+aUJOXLl0/FixfX6dOnVbBgQZUpU0bjx493PM6ONIBHod2A89FuAMmJdgPOR7uB1C1dHHiPs3LlSm3YsEFdunTRlStX1K9fP/n6+ipDhgwaOXKkfH19df36de3cuVMBAQHKlSuXPvnkE1mtVtlsNi7NAe4jIiJC5cqVU4cOHdS/f3/5+fnJ29tbq1atUoYMGdSvXz+Fh4dr1qxZrEMAkox2A85HuwEkJ9oNOB/tBlKndHXg/fDhw2rbtq1Gjx6tunXrKiYmRps3b1b9+vVVqVIlFSpUSD179tRLL72kTJkyOV7HpTnA/cWdQV+zZo3Gjx+v33//XUWLFtXKlSuVO3fuBM/5558BIDFoN+BctBtAcqPdgHPRbiD1SldrYvny5fXWW2+pT58+stvt8vLyUt++ffX666/L399fTz31lGrVqqXhw4cneB3xR3r3+++/S7p7+Wh8cTEvXry4Ll68KB8fH+3ateu+8TfGEH8ASUa7gcdDuwG4C+0GHg/tBtKedLM2xm243nnnHRUqVEibN2+Wn5+fsmfPriVLlqhjx46aM2eOduzYoUGDBrl3sEAKYbfbdfXqVZUqVUpr16594L0WS5UqpR49eujixYu6ePGiY3n84HOfRgBJRbuBpKPdANyJdgNJR7uBtCtNH3i32+2OP8dtfMqWLSur1aq6desqX758Wrt2rby9vSXd3Ul4+eWX5enpqdjYWLeMGUhJPDw8lC9fPn3xxReaO3eugoKC7nlO3M71G2+8oSJFiujHH39MsO4BQFLQbuDJ0G4Arka7gSdDu4G0K80deN++fbu6desmSfdcXhO3URo+fLgqVqyo5s2bO+IvJTwzyGVuwN/q1Kmj8PBwx6VvNpvN8VjcelOyZEllyJBBW7du5dI2AElCuwHno90AkhPtBpyPdgNpT5paS40xCg4O1qVLl3T+/HnHsjhxG6W8efMqT5482r179z3PAXCvl19+WYUKFdLHH38sSfL09Eyw3sTtXK9evVqLFy92yxgBpE60G0getBtAcqHdQPKg3UDak6YOvFssFr3yyiu6cuWKZs+e7Vj2Tzlz5lTPnj01a9Ys7d27l3tgAQ8RF/fx48crW7ZsmjRpkqSE61bcznX27Nnl6emZ4Mw8ADwM7Qacj3YDSE60G3A+2g2kTWnqwLsxRnny5NH48eP13Xffafv27Q98np+fn/r27asXXnjBxaMEUq77hTsu7pkyZVKdOnW0f/9+RUdHS3rwr1Y8PT2Tb5AA0hTaDTwZ2g3A1Wg38GRoN5B+pKkD7xaLRcYYVapUSW+++aa2b98um812z4QTFotFefPm1VdffcWELoCk999/XydOnHjoWXOr1ao2bdpo8+bNmjZtmiRmTAfw5Gg38HhoNwB3od3A46HdQPqTpg68S3c3SFmzZtVLL72k2bNn6/z58/Lw8Hjo/eSY0AXp2Z9//qkjR46oQYMGOnPmzAN3Aux2uwoVKqQJEyZo2bJlOnr0qBtGCyAtot1A0tBuAO5Gu4Gkod1A+pTmDrzHadGihV599VV1795dERERnCEEHqBo0aKaNm2aypQpo9dee+2BOwFxl75VqlRJefPm1cGDByXpnl+2AMDjot1A4tBuACkF7QYSh3YD6VOaPPAet0Hq2rWrMmXKpF9//TXBcgB3xf0ipUKFChoyZMgjdwIkydfXV1WqVNGnn36qmzdvOnYMAOBJ0G4gcWg3gJSCdgOJQ7uB9MtiHnYtWApkt9vvu8Gx2Wz3TCwRExOjli1bymKxaMmSJa4aIpAqGGNksVgSrFMHDx7Ul19+qePHj2vTpk0qUaJEgnUr7jWSNHbsWNWtW1dly5Z122cAkDrQbsA5aDcAV6HdgHPQbiB9S1UH3uNvqHbt2qWoqChFR0erfv36D3xuUFCQKlWqpMGDB6tTp06uHjKQIsVfl6KjoxUZGSlvb29J0rFjx9S7d2+dPHnyoTsBISEheuqpp9z1EQCkErQbcA7aDcBVaDfgHLQbQKo68B6nX79+WrVqlaxWq+7cuaNChQpp0aJFypMnT4LnxW3kRowYoSxZsqhLly7KkiWLm0YNpAzx4z9q1Cht2bJFf/75p2rWrKlOnTqpSpUqOnHihD7++GOdOnVKmzZtUvHixR/4qxcASAzaDTw+2g3AHWg38PhoNwApFd7jfeLEiZo1a5YWLFigY8eO6cMPP9S2bdt0+vRpx3PiziXEbayaNWumGjVqEH9Af68XX375pcaMGaNXXnlF/v7+2rFjh/r27auVK1fq+eef1+jRo1W2bFmVKVNGFy9eJP4AHhvtBp4M7QbgarQbeDK0G4CUCn/x7u/vrzJlyqh79+5avny5OnbsqNGjR6tLly6KiIgg8kAinD17Vg0bNtSYMWPUsGFDSdLly5fVuXNnRUREaOHChSpQoIB+/fVXLV++XCNHjrznXo4AkFi0G3hytBuAK9Fu4MnRbgAp+lTaP2dDt9vtCgwMVGxsrLZu3ap27dpp5MiR6tKli2w2m8aOHavvvvvOTaMFUg+r1arw8HB5eXlJujshUoECBTR79mwdOXJEy5cvlyS99NJLGjNmzANnWgeAf6LdQPKg3QCSC+0GkgftBpCiD7zHXWITGhrq+PdmzZpp5cqVatCggcaNGyd/f39JUkhIiPbt26fg4GC3jRdIie53UUvGjBkVGxur/fv3S5I8PT0VGxurfPny6YUXXlBQUNA9r+HMO4DEoN3Ak6PdAFyJdgNPjnYDuJ8UeeA9/hn3FStWqGDBgrp06ZIkqWrVqrp586b8/Pzk5+cnSbpw4YLatGmj//3vf+rVq5c7hgykSHa7XRaLRZJ0+/Zt2Ww23blzR3nz5tUXX3yhQYMGad68efLw8JDValVMTIyuXbumf/3rX24eOYDUhnYDzkG7AbgK7Qacg3YDeJAUd4/3+DM4L1q0SBcvXlS/fv1UpkwZ/fTTT/Lx8dG6dev02WefKSoqSjExMcqZM6csFot27dolLy8v2Ww2zhIi3Yu/Lo0ePVpbt27V9evXVbZsWfXu3VulSpVS//79NXLkSLVs2VL/+te/dOzYMQUFBenIkSOyWq1u/gQAUgvaDTgH7QbgKrQbcA7aDeBhUtyB9zh9+vTR4sWL9dFHH+ns2bP65ZdfFBERoZ07d6pw4cI6fvy4Ll++rBMnTui5557T66+/7rhshw0X8LfPP/9c06dP14ABA/Tnn3/qxIkT2rdvn7Zv365y5cppxYoVmjlzpjJlyqRnnnlGU6ZMYUcawGOh3YBz0G4ArkK7Aeeg3QDuJ0UeeD916pRee+01TZ06VY0aNZIk/fbbb+ratasuXbqknTt3qlChQve8jg0WkND58+fVqFEjDRs2TG+++aZj2WeffaZt27YpICBARYsWVUxMjGPCF0nsSANIMtoNOAftBuAqtBtwDtoN4EFS5D3ew8LCdOPGDRUtWtSxrHTp0ho7dqxCQkLUsGFDxyQU8Wd8Jv5AQmFhYTpz5oy8vb0dy3x8fPTFF18of/782rJliyQ57kcn3Z0UhvgDSCraDTgH7QbgKrQbcA7aDeBB3H7g/X4/uPfz81OxYsU0f/58x+MeHh4qU6aMypQpoytXrqh69eoKDw8n+sD/ud+6VKRIEVWqVEkbNmxQRESEpLuxL1mypGw2m86ePStJCYIff2cAAO6HdgPOQbsBuArtBpyDdgNICrceeI8/8/P169d1+fJlRUVFycvLS++884527typb775JsFr8ufPr3nz5ilbtmwaNWqUO4YNpDjx16WbN2/q+vXrkqSsWbOqatWq2rBhg3744QfHL1WioqKUOXNm5cmTx21jBpA60W7AOWg3AFeh3YBz0G4ASeW2e7wbYxwbrEGDBmnHjh0KDAxUo0aNVKdOHbVo0UIffPCBDh06pPz586tmzZpavny5JGnLli1644035Ovrq1mzZrlj+ECK8P333+vdd9913CduwIABWrdunW7cuKE2bdpo4MCBstvtatu2rY4ePapChQqpYsWK2rZtm27cuKHDhw9zeRuARKPdwJOj3QBciXYDT452A3hcLv/Fe9xx/vjxnzJlij7++GOtX79ewcHB6tu3r0JCQjRq1Ch169ZNUVFRWrlypQoUKKDNmzcrY8aM8vb2Vt68eWWMue+lPkBat3PnTrVq1UqDBw+WJE2dOlWzZ89Wq1at1KpVK40aNUqtWrWSzWbT/Pnz1a1bN+XIkUP79u3T888/r0OHDslqtSa4XyMA3A/tBpyDdgNwFdoNOAftBvBEjAvZbLYE/7x48aKpVq2aWbdunTHGmM2bN5ssWbKY2bNn3/PaqKgox5/79OljcufObU6fPu2CUQMp1/fff28yZMhghg4dasaPH2+WL1/ueGzHjh0mS5Ys5r333jPh4eGO5fHXpZiYGJeOF0DqQ7sB56LdAJIb7Qaci3YDeFwuu9alX79+un37tiZNmuSYmMXLy0s3b95UuXLltHr1arVq1Urjxo1Thw4dFBUVpUWLFqly5coqU6aMMmbMqOPHj2vcuHHasWOHNmzYoBIlSrhq+ECK1KJFC9lsNrVv316SNHPmTEl3f+Hy73//W+vXr1e9evXk5eWlUaNGKU+ePMqYMaPjOVzuBuBhaDfgfLQbQHKi3YDz0W4Aj8slt5oJDw9XaGioAgMDNWDAAMclNtHR0fL09NTYsWPVvn17jRo1Sv7+/pKkM2fOaOXKlQoODna8T+nSpdWyZUtt2bJFFSpUcMXQgRTHbrc7/hwdHa1WrVpp8eLF8vT01K+//qo7d+7IYrE4dgI2bNig+fPnO3YO4jCLOoCHod2A89BuAK5AuwHnod0AnCHZJ1c9c+aMSpQooZCQEI0ePVpbtmxRrVq1NGTIEFmtVo0ePVr9+vWTv7+/pk6dKunuDkOzZs0UExOjn3/+WZ6enrLb7fLwcPkt6YEUJf56MGvWLN26dUudOnWSt7e3Fi9erFatWqlv374aPHiwrFarYzKlo0eP6vnnn+dMO4BEod2A89BuAK5AuwHnod0AnCVZtwajRo3SlClTtHTpUr300kvq06eP7Ha7tmzZIrvdrmHDhqlPnz66dOmSpkyZopiYGMXExOjChQu6du2aAgMDiT8QT9x60KdPHy1YsEADBgxQSEiIvL291bx5c9ntdrVp00aSHDsBklSuXDlJUmxsLDsBAB6KdgPORbsBJDfaDTgX7QbgLMla1fLly6ty5crq0aOH9uzZo6eeekr9+vVTzZo1tXXrVsflb5MmTdL06dMVFham2NhY1axZU4cOHZKXl5diY2OJPxDPkiVLtHDhQq1YsUL+/v4qXLiw47H33ntP8+fP17hx4/TRRx/dM3M68QfwKLQbcD7aDSA50W7A+Wg3AGdI9lvNbN++XRMmTND58+c1ZcoUVatWTSEhIRo1apQ2b96s2rVra+jQobJarYqKilKmTJkcr7XZbI4JYYD0Lm596N+/v06cOKFVq1Y5Hov7dUrcJW4zZszQggULtH37du4pByDJaDfgHLQbgKvQbsA5aDcAZ0q2U9pxx/NfeeUV9ezZU0WKFFH37t21e/duPfXUU+rbt69q166tbdu26csvv1RsbGyC+Esi/kj3jh49qp07d0r6e324deuW7ty5k+B5Hh4eio2N1Y8//qiQkBB16dJFO3bscEz2AgCJQbuBJ0e7AbgS7QaeHO0GkFycfuA9bubn+Gf7Xn31VfXo0UM+Pj4JdgL69eunWrVq6YcfftCsWbOcPRQgVVu4cKHatGmjpUuX6uTJk47lfn5++uWXX7R79+4Ezw8NDdV3332nHTt2JFjOmXcAj0K7Aeeg3QBchXYDzkG7ASQnp95qJv5kLJs2bVJERISioqLUrFkzSdLu3bs1atQoXbx4Ud98842qVq2qmzdvasmSJercuTNn2oH/M2fOHH344YcaPXq06tatq2LFiiV4vGnTptqxY4f+85//qHjx4vL09NQHH3ygGzduaM+ePaxLABKNdgPOQbsBuArtBpyDdgNIbslyj/fevXvr+++/V44cOXTlyhWVLl1aY8aM0csvv6xdu3Zp/PjxunjxosaMGaOaNWs6Xse95QDp4MGDeueddzRy5EjHznOcW7duydvbWxEREerVq5eWLFmijBkzKk+ePMqWLZt27NghLy8v1iUASUa7gcdHuwG4A+0GHh/tBuAKTj/wPnfuXPXt21cbNmxQ/vz5ZYxR48aNFRsbq3nz5qls2bLasmWLBg8eLF9fX82ZM8cxMQWAu7OnjxkzRps2bdLTTz8tSfr555+1YcMGbd68Wb6+vpo4caKKFCmiXbt2KTIyUlarVa+88orjnnPMog4gKWg38GRoNwBXo93Ak6HdAFzBaVuJuIj//vvvqlq1qipUqODYEG3fvl2VKlVS//799eOPP6pWrVp6+umn5efnJ4l7YQHx3blzRzExMTp16pSqVq2qnj17KjAwUJ6enmrUqJHWrFmjxo0b68iRI3r55ZcTvNZmsxF/AIlGuwHnoN0AXIV2A85BuwG4whNtKY4cOaJz584pV65cql69uiQpKChI169fv/vmVqsiIyOVOXNmjR07Vu3bt9fZs2fl6+urChUqSEp4fzoAUpUqVWSMUYcOHXTjxg1lyZJFAwcOVL169ZQnTx69/fbbevnll7Vt27YEl4xK4jI3AI9EuwHno90AkhPtBpyPdgNwhcc+8L5w4UKNHTtWPj4+Kl26tGMHoH379qpfv74mTJigXr16KXPmzJKkmJgY5cqVS9mzZ0/wPsQf+JsxRiVLltT333+vw4cPKyQkRG3btk2w3oSGhqpUqVLKnz+/G0cKIDWi3YDz0W4AyYl2A85HuwG4ymPd433+/Pny9/fXnDlz9MYbb+ipp55yPHbr1i2NHz9e3333nbp06aKuXbsqJCRE3bt3V0xMjNatW8clbsBDPOzei5GRkWrevLksFotWrFjBDjSARKPdQPKh3QCSA+0Gkg/tBuAKST7wfvz4cTVr1ky9evVSp06dHMvjb7QuXLigxYsXa9iwYcqSJYuyZ8+up59+WgEBAfLy8uIyNyCJbt++rSNHjmj48OG6dOmSAgMDWZcAJBrtBlyPdgN4ErQbcD3aDcDZknyrmcuXLysiIkI1atRIEP24fxpj5OPjoz59+qhly5Y6cOCAvL299e9//1uenp7M/AwoafdYjI2N1aeffqo//vhD3t7eOnTokKxWK+sSgESj3cCTo90AXIl2A0+OdgNwtyRvPQ4ePKjbt2+rRIkSku69PMdisejkyZMKDg5WzZo1VaBAAcdjzPwMKEG4T5w4IW9vb2XJkkVPP/20pHvXKavVqk8//VQXL15UjRo15OHhQfwBJAntBp4M7QbgarQbeDK0G0BKkORrZZ599lmFh4dr48aNknTfe2LNnz9f33//vf55FxtmfkZ6NmLECO3evdsR7n79+qlRo0aqWLGievXqpe3bt0u6u07FX3eMMfL19VXNmjXl4eEhu91O/AEkCe0GHg/tBuAutBt4PLQbQEqS5APvlSpVUoYMGTRjxgxduHDBsTxugxUaGqrff/9dZcuWZTIX4P/s3btXS5cu1ciRI3X06FHt2LFD33//vaZNm6bPPvtMISEh6t+/f4Id67h16p/rEfeWA5BUtBtIOtoNwJ1oN5B0tBtASpPkyVUlafHixWrXrp3efvtt9e7dWxUqVJAkXblyRZ06dVJoaKi2bdvG2UEgnpUrV2ratGnKkSOHfHx85OPjo169ekmSduzYocmTJ+vSpUsaMmSIXnvtNfcOFkCaQ7uBpKPdANyJdgNJR7sBpCSPVeh3331XYWFh6tatm3bs2KEyZcrIbrfr1q1bstvtCggIkNVqlc1m4zI3pHtx94Vr0qSJYmJiNHfuXH333Xf68MMPHc+pUaOGJGn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      "text/plain": [
       "<Figure size 1500x1000 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "# Define the responses to plot, including NaN\n",
    "responses = [float('nan'), 1, 2, 3, 4, 5]\n",
    "\n",
    "# Create a subplot with 2 rows and 3 columns\n",
    "fig, axes = plt.subplots(2, 3, figsize=(15, 10))\n",
    "\n",
    "# Flatten the axes array for easier iteration\n",
    "axes = axes.flatten()\n",
    "\n",
    "# Iterate over each response and plot the count for each book\n",
    "for i, response_value in enumerate(responses):\n",
    "    # Filter the DataFrame based on the response value, including handling NaN\n",
    "    if pd.isna(response_value):\n",
    "        filtered_df = df_pulse[df_pulse['response'].isna()]\n",
    "    else:\n",
    "        filtered_df = df_pulse[df_pulse['response'] == response_value]\n",
    "    \n",
    "    # Group by 'book' and count occurrences of the response value\n",
    "    response_counts = filtered_df.groupby('book').size().reset_index(name='count')\n",
    "    \n",
    "    # Plot\n",
    "    sns.barplot(x='book', y='count', data=response_counts, ax=axes[i])\n",
    "    axes[i].set_title(f'Response Value: {response_value}')\n",
    "    axes[i].set_xlabel('Book')\n",
    "    axes[i].set_ylabel('Count')\n",
    "    axes[i].tick_params(axis='x', rotation=45)\n",
    "\n",
    "# Adjust layout\n",
    "plt.tight_layout()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x1000 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "# Define the responses to plot, including NaN\n",
    "responses = [float('nan'), 1, 2, 3, 4, 5]\n",
    "\n",
    "# Create a subplot with 2 rows and 3 columns\n",
    "fig, axes = plt.subplots(2, 3, figsize=(15, 10))\n",
    "\n",
    "# Flatten the axes array for easier iteration\n",
    "axes = axes.flatten()\n",
    "\n",
    "# Calculate the total count of responses across all books\n",
    "total_responses = len(df_pulse)\n",
    "\n",
    "# Iterate over each response and plot the proportion for all books\n",
    "for i, response_value in enumerate(responses):\n",
    "    # Filter the DataFrame based on the response value, including handling NaN\n",
    "    if pd.isna(response_value):\n",
    "        filtered_df = df_pulse[df_pulse['response'].isna()]\n",
    "    else:\n",
    "        filtered_df = df_pulse[df_pulse['response'] == response_value]\n",
    "    \n",
    "    # Calculate the count of response_value for all books\n",
    "    count_response_value = len(filtered_df)\n",
    "    \n",
    "    # Calculate proportion\n",
    "    proportion = count_response_value / total_responses\n",
    "    \n",
    "    # Plot\n",
    "    sns.barplot(x=[f'Response: {response_value}'], y=[proportion], ax=axes[i])\n",
    "    axes[i].set_title(f'Response Value: {response_value}')\n",
    "    axes[i].set_xlabel('Response')\n",
    "    axes[i].set_ylabel('Proportion')\n",
    "    axes[i].set_ylim(0, 1)  # Set y-axis limit to ensure proportions are between 0 and 1\n",
    "\n",
    "# Adjust layout\n",
    "plt.tight_layout()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x1000 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "# Define the responses to plot, including NaN\n",
    "responses = [float('nan'), 1, 2, 3, 4, 5]\n",
    "\n",
    "# Get unique book names\n",
    "unique_books = df_pulse['book'].unique()\n",
    "\n",
    "# Create a subplot with 2 rows and 3 columns\n",
    "fig, axes = plt.subplots(2, 3, figsize=(15, 10))\n",
    "\n",
    "# Flatten the axes array for easier iteration\n",
    "axes = axes.flatten()\n",
    "\n",
    "# Iterate over each response and plot the proportion for each book\n",
    "for i, response_value in enumerate(responses):\n",
    "    # Iterate over each book\n",
    "    for j, book in enumerate(unique_books):\n",
    "        # Filter the DataFrame based on the response value, including handling NaN and for the specific book\n",
    "        if pd.isna(response_value):\n",
    "            filtered_df = df_pulse[(df_pulse['response'].isna()) & (df_pulse['book'] == book)]\n",
    "        else:\n",
    "            filtered_df = df_pulse[(df_pulse['response'] == response_value) & (df_pulse['book'] == book)]\n",
    "        \n",
    "        # Calculate the count of response_value for the specific book\n",
    "        count_response_value_for_book = len(filtered_df)\n",
    "        \n",
    "        # Calculate the total responses for the specific book\n",
    "        total_responses_for_book = len(df_pulse[df_pulse['book'] == book])\n",
    "        \n",
    "        # Calculate proportion\n",
    "        proportion = count_response_value_for_book / total_responses_for_book\n",
    "        \n",
    "        # Plot\n",
    "        sns.barplot(x=[f'Book: {book}'], y=[proportion], ax=axes[i])\n",
    "        axes[i].set_title(f'Response Value: {response_value}')\n",
    "        axes[i].set_xlabel('Book')\n",
    "        axes[i].set_ylabel('Proportion')\n",
    "        axes[i].set_ylim(0, 1)  # Set y-axis limit to ensure proportions are between 0 and 1\n",
    "        axes[i].set_xticklabels([]) \n",
    "# Adjust layout\n",
    "plt.tight_layout()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "# Get the total number of chapters\n",
    "total_chapters = 12\n",
    "\n",
    "# Calculate the proportion of responses for each chapter\n",
    "chapter_proportions = df_pulse['chapter_number'].value_counts(normalize=True).sort_index()\n",
    "\n",
    "# Plot\n",
    "plt.figure(figsize=(10, 6))\n",
    "sns.barplot(x=chapter_proportions.index, y=chapter_proportions.values)\n",
    "plt.title('Proportion of Responses for Each Chapter')\n",
    "plt.xlabel('Chapter Number')\n",
    "plt.ylabel('Proportion of Responses')\n",
    "plt.xticks(range(1, total_chapters + 1))  # Set x-axis ticks for each chapter\n",
    "plt.show()\n"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}