{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "ad018929-d05b-45c0-9db1-9fcc75c54c0a",
   "metadata": {},
   "source": [
    "# Gravimetry - Importing and processing a gravity survey to compute a Bouguer anomaly\n",
    "O. Kaufmann, 2019-2021. Work in progress."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "23cd8641-fea5-4c45-8d97-03a19bda38db",
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import geopandas as gpd\n",
    "import shapely\n",
    "from bootsoff.gravity import corrections"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9f4e36cc-0ee4-4867-9f43-695b76de9a52",
   "metadata": {},
   "source": [
    "## Import dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "37913429-fdd0-4151-8aa6-4757c5986735",
   "metadata": {},
   "outputs": [],
   "source": [
    "# importing a built-in dataset. Use bootsoff.gravity.instruments.import_cg6 to import a LRS CG6 file.\n",
    "from bootsoff.data.gravity import profile as df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cac78cf9-63ec-4e48-a004-2b1f18d71adc",
   "metadata": {},
   "source": [
    "The imported dataset is stored as a pandas dataframe.  \n",
    "It includes a geometry field that was programmed in the gravimeter or as been imported from a GNSS receiver"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "e14562f8-ef19-4a0c-9779-69c4a7e70972",
   "metadata": {},
   "outputs": [
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       "      <th>Station_ID</th>\n",
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      "text/plain": [
       "                                      Station_ID  InstrCorrGrav  StdDev  \\\n",
       "datetime                                                                  \n",
       "2019-12-09 06:52:12+00:00  1 - BASE_JONCQUOIS_02      4296.4051  0.1788   \n",
       "2019-12-09 06:52:42+00:00  1 - BASE_JONCQUOIS_02      4296.4063  0.0991   \n",
       "2019-12-09 06:53:12+00:00  1 - BASE_JONCQUOIS_02      4296.4068  0.1715   \n",
       "2019-12-09 07:32:17+00:00                1 - 225      4297.1063  0.2129   \n",
       "2019-12-09 07:32:47+00:00                1 - 225      4297.0937  0.1925   \n",
       "...                                          ...            ...     ...   \n",
       "2019-12-19 14:05:25+00:00                1 - 317      4304.2391  0.1454   \n",
       "2019-12-19 14:05:55+00:00                1 - 317      4304.2287  0.1375   \n",
       "2019-12-19 14:21:45+00:00                1 - 332      4304.9160  0.1239   \n",
       "2019-12-19 14:22:15+00:00                1 - 332      4304.9338  0.1479   \n",
       "2019-12-19 14:22:45+00:00                1 - 332      4304.9413  0.1092   \n",
       "\n",
       "                           StdErr   Latitude  Longitude  Ellipsoid Height  \\\n",
       "datetime                                                                    \n",
       "2019-12-09 06:52:12+00:00  0.0327  50.445443   3.958254            75.189   \n",
       "2019-12-09 06:52:42+00:00  0.0181  50.445443   3.958254            75.189   \n",
       "2019-12-09 06:53:12+00:00  0.0313  50.445443   3.958254            75.189   \n",
       "2019-12-09 07:32:17+00:00  0.0389  50.429907   3.688630            64.656   \n",
       "2019-12-09 07:32:47+00:00  0.0352  50.429907   3.688630            64.656   \n",
       "...                           ...        ...        ...               ...   \n",
       "2019-12-19 14:05:25+00:00  0.0265  50.462992   3.659931            62.741   \n",
       "2019-12-19 14:05:55+00:00  0.0251  50.462992   3.659931            62.741   \n",
       "2019-12-19 14:21:45+00:00  0.0226  50.466507   3.650911            62.297   \n",
       "2019-12-19 14:22:15+00:00  0.0270  50.466507   3.650911            62.297   \n",
       "2019-12-19 14:22:45+00:00  0.0199  50.466507   3.650911            62.297   \n",
       "\n",
       "                           InstrHeight  RMS Easting  RMS Elevation  \\\n",
       "datetime                                                             \n",
       "2019-12-09 06:52:12+00:00          0.0       0.0080         0.0204   \n",
       "2019-12-09 06:52:42+00:00          0.0       0.0080         0.0204   \n",
       "2019-12-09 06:53:12+00:00          0.0       0.0080         0.0204   \n",
       "2019-12-09 07:32:17+00:00          0.0       0.0107         0.0238   \n",
       "2019-12-09 07:32:47+00:00          0.0       0.0107         0.0238   \n",
       "...                                ...          ...            ...   \n",
       "2019-12-19 14:05:25+00:00          0.0       0.0082         0.0208   \n",
       "2019-12-19 14:05:55+00:00          0.0       0.0082         0.0208   \n",
       "2019-12-19 14:21:45+00:00          0.0       0.0183         0.0537   \n",
       "2019-12-19 14:22:15+00:00          0.0       0.0183         0.0537   \n",
       "2019-12-19 14:22:45+00:00          0.0       0.0183         0.0537   \n",
       "\n",
       "                           RMS Northing   mask  \\\n",
       "datetime                                         \n",
       "2019-12-09 06:52:12+00:00        0.0080  False   \n",
       "2019-12-09 06:52:42+00:00        0.0080  False   \n",
       "2019-12-09 06:53:12+00:00        0.0080  False   \n",
       "2019-12-09 07:32:17+00:00        0.0119  False   \n",
       "2019-12-09 07:32:47+00:00        0.0119  False   \n",
       "...                                 ...    ...   \n",
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       "2019-12-19 14:21:45+00:00        0.0107  False   \n",
       "2019-12-19 14:22:15+00:00        0.0107  False   \n",
       "2019-12-19 14:22:45+00:00        0.0107  False   \n",
       "\n",
       "                                                          geometry  \n",
       "datetime                                                            \n",
       "2019-12-09 06:52:12+00:00  POINT (3.95825353703 50.44544330897001)  \n",
       "2019-12-09 06:52:42+00:00  POINT (3.95825353703 50.44544330897001)  \n",
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       "2019-12-09 07:32:47+00:00  POINT (3.68862962157 50.42990663128001)  \n",
       "...                                                            ...  \n",
       "2019-12-19 14:05:25+00:00     POINT (3.65993108962 50.46299167397)  \n",
       "2019-12-19 14:05:55+00:00     POINT (3.65993108962 50.46299167397)  \n",
       "2019-12-19 14:21:45+00:00      POINT (3.6509110203 50.46650696247)  \n",
       "2019-12-19 14:22:15+00:00      POINT (3.6509110203 50.46650696247)  \n",
       "2019-12-19 14:22:45+00:00      POINT (3.6509110203 50.46650696247)  \n",
       "\n",
       "[959 rows x 13 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
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   "source": [
    "df"
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  {
   "cell_type": "markdown",
   "id": "3f3cc727-ed07-4416-b25d-66f42e4f7b06",
   "metadata": {},
   "source": [
    "## Define the Base station and get the base point"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "5a0e4cf4-1b04-46ae-8a82-e23288080a49",
   "metadata": {},
   "outputs": [],
   "source": [
    "base_station = \"1 - BASE_JONCQUOIS_02\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "14215480-a4e3-48b7-956d-30339558338b",
   "metadata": {},
   "outputs": [],
   "source": [
    "base_point = df.query('Station_ID==\"%s\"' %base_station).iloc[0,:]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4188ea50-150b-4e89-9462-c339c90cd8b9",
   "metadata": {},
   "source": [
    "## Apply corrections"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b0fe9124-62ed-4fd1-b006-1c79e2ad2177",
   "metadata": {},
   "source": [
    "Choose units among mgal, microgal and si "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "d65e68fc-e8a2-4f44-bec4-704f8706fdce",
   "metadata": {},
   "outputs": [],
   "source": [
    "units = 'mgal'"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8c836ab4-76ca-4992-8ec0-e1ec1439d6e0",
   "metadata": {},
   "source": [
    "### Compute corrections"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8737ffcb-1862-46c1-83b4-97f525c701d7",
   "metadata": {},
   "source": [
    "Instrument drift and terrain corrections have not been implemented yet..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "d40b7359-4bcd-402c-be4f-19af23794659",
   "metadata": {},
   "outputs": [],
   "source": [
    "corrections(df, base_point.name, units=units)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "c721a4d2-61cb-4e46-9d46-3c1ef11700c0",
   "metadata": {},
   "outputs": [],
   "source": [
    "list_corr = ['LatCorr', 'AtmCorr', 'AltCorr', 'BougSphCapCorr', 'BougSlabCorr', 'TideCorr']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "919f6b1f-7364-4903-b817-d3e7fcaf38d9",
   "metadata": {},
   "outputs": [
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       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-12-09 06:52:42+00:00</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.000070</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-12-09 06:53:12+00:00</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.000141</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-12-09 07:32:17+00:00</th>\n",
       "      <td>1.382146</td>\n",
       "      <td>-0.001038</td>\n",
       "      <td>-3.249397</td>\n",
       "      <td>1.194199</td>\n",
       "      <td>1.179367</td>\n",
       "      <td>-0.005881</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-12-09 07:32:47+00:00</th>\n",
       "      <td>1.382146</td>\n",
       "      <td>-0.001038</td>\n",
       "      <td>-3.249397</td>\n",
       "      <td>1.194199</td>\n",
       "      <td>1.179367</td>\n",
       "      <td>-0.005958</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-12-19 14:05:25+00:00</th>\n",
       "      <td>-1.560937</td>\n",
       "      <td>-0.001226</td>\n",
       "      <td>-3.840188</td>\n",
       "      <td>1.411316</td>\n",
       "      <td>1.393787</td>\n",
       "      <td>0.020647</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-12-19 14:05:55+00:00</th>\n",
       "      <td>-1.560937</td>\n",
       "      <td>-0.001226</td>\n",
       "      <td>-3.840188</td>\n",
       "      <td>1.411316</td>\n",
       "      <td>1.393787</td>\n",
       "      <td>0.020532</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-12-19 14:21:45+00:00</th>\n",
       "      <td>-1.873602</td>\n",
       "      <td>-0.001270</td>\n",
       "      <td>-3.977163</td>\n",
       "      <td>1.461656</td>\n",
       "      <td>1.443501</td>\n",
       "      <td>0.016666</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-12-19 14:22:15+00:00</th>\n",
       "      <td>-1.873602</td>\n",
       "      <td>-0.001270</td>\n",
       "      <td>-3.977163</td>\n",
       "      <td>1.461656</td>\n",
       "      <td>1.443501</td>\n",
       "      <td>0.016536</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-12-19 14:22:45+00:00</th>\n",
       "      <td>-1.873602</td>\n",
       "      <td>-0.001270</td>\n",
       "      <td>-3.977163</td>\n",
       "      <td>1.461656</td>\n",
       "      <td>1.443501</td>\n",
       "      <td>0.016406</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>959 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                            LatCorr   AtmCorr   AltCorr  BougSphCapCorr  \\\n",
       "datetime                                                                  \n",
       "2019-12-09 06:52:12+00:00  0.000000  0.000000  0.000000        0.000000   \n",
       "2019-12-09 06:52:42+00:00  0.000000  0.000000  0.000000        0.000000   \n",
       "2019-12-09 06:53:12+00:00  0.000000  0.000000  0.000000        0.000000   \n",
       "2019-12-09 07:32:17+00:00  1.382146 -0.001038 -3.249397        1.194199   \n",
       "2019-12-09 07:32:47+00:00  1.382146 -0.001038 -3.249397        1.194199   \n",
       "...                             ...       ...       ...             ...   \n",
       "2019-12-19 14:05:25+00:00 -1.560937 -0.001226 -3.840188        1.411316   \n",
       "2019-12-19 14:05:55+00:00 -1.560937 -0.001226 -3.840188        1.411316   \n",
       "2019-12-19 14:21:45+00:00 -1.873602 -0.001270 -3.977163        1.461656   \n",
       "2019-12-19 14:22:15+00:00 -1.873602 -0.001270 -3.977163        1.461656   \n",
       "2019-12-19 14:22:45+00:00 -1.873602 -0.001270 -3.977163        1.461656   \n",
       "\n",
       "                           BougSlabCorr  TideCorr  \n",
       "datetime                                           \n",
       "2019-12-09 06:52:12+00:00      0.000000  0.000000  \n",
       "2019-12-09 06:52:42+00:00      0.000000 -0.000070  \n",
       "2019-12-09 06:53:12+00:00      0.000000 -0.000141  \n",
       "2019-12-09 07:32:17+00:00      1.179367 -0.005881  \n",
       "2019-12-09 07:32:47+00:00      1.179367 -0.005958  \n",
       "...                                 ...       ...  \n",
       "2019-12-19 14:05:25+00:00      1.393787  0.020647  \n",
       "2019-12-19 14:05:55+00:00      1.393787  0.020532  \n",
       "2019-12-19 14:21:45+00:00      1.443501  0.016666  \n",
       "2019-12-19 14:22:15+00:00      1.443501  0.016536  \n",
       "2019-12-19 14:22:45+00:00      1.443501  0.016406  \n",
       "\n",
       "[959 rows x 6 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[list_corr]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "11b67c1c-d88c-4450-987f-a6eeedfbaebe",
   "metadata": {},
   "source": [
    "### Plot corrections"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "ba93d6ee-c12b-43aa-8ea9-fc951a42d9d0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7fbe6a114d00>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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zAKiqihdffNHXmmH4n//8xxsAVq9e7dG9e3ctc3H48OH+c+fOrQ0AS5Ys8WrSpInRaDSGREZG+lmvS0lJcfLz88uz3tOhQ4ds61hhYWFB3bp1a9a4ceMWQ4YM8bdYLNp8Xn/99YZBQUHNQ0NDg0+dOqUHgFmzZtWfOXPm6caNG+cDgIuLixw1atQlAJg9e3adFi1ahAQFBTV/5JFHmlozGAcOHNh4yJAh/i1atAhp3Lhxi2+//dbr7+vrRkREXLYGHgEgKioq1c/Pz3z+/Hldjx49mgYGBjYPDQ0NtgZMo6OjGzzxxBNN7rvvvuABAwY0Kbp/s9+YwUciIiIiIiIiIqqSru3a7XbqpZcCL3/5ZcNTL70UaI8AZG5urhIcHNy8SZMmxjfeeKPRpEmTzgHAwoULax46dMjlyJEjiZs2bTo2ceJE35MnT5aa1peVlSXeeOONRj/++OPxxMTEI5cvX9ZWGL/66qsXXn/99cYdOnQIHDt27D0nTpzQxjl06JDbJ598YkpOTk44ceKE88KFC70BIDs7W+nUqVNmUlLS4U6dOmX++9//9gGA48ePu3Tp0iWrpDkMHTo0NSEh4UhSUtLhoKCg7Llz59axnjt16pTzgQMHjqxater4P/7xj0ZZWVni8OHDLmFhYSWO9dZbbzUIDQ3NOnbs2OGpU6eeeeaZZ7TA4vHjx2v8/PPPSatWrfqrpP0bYfCRiIiIiIiIiIiqpGu7d3tIs1mBqkKazcq13bs9bndM67Lrv/76K3HlypXHo6Kimqiqiu3bt3tERERc0ev18PPzM3fo0CFzx44drqWNs3///hp+fn65wcHBeQDw9NNPX7GeGzhwYHpycvKhqKioS0lJSS5t27ZtfvbsWT0AtGzZ8lrz5s3z9Ho9IiIirmzfvt0dAJycnOTTTz+dBgBt27a9dvLkScPN3mXfvn0ubdu2DQoMDGy+fPny2omJiTVs5nBFp9OhZcuWuX5+frn79++vcaOxfv31V4/nnnvuMgA89thjGVevXtVfuXJFAYBHH330qru7u7ReW3T/Rhh8JCIiIiIiIiKiKsmtU6cModerUBQIvV5169Qpw57j9+jR41pqaqr+3LlzpfZFcXJykqp6vRxibm6uKMvY9erVs7z00ktXvv/++79atWp1bcOGDe4AIETh2637er1eKopi3YbZbBYA0KxZs+ydO3eWGAQdMWJEk3nz5pmOHTt2eOzYsWdzc3OVouPa7oeEhGTHx8eXGlAtjZubm3qj/Rth8JGIiIiIiIiIiKokt86drvl99tmx2s89d8bvs8+OuXXudO3md5Xd77//XkNVVdSrV8/ctWvXjGXLltUym804e/as/tdff3V/4IEHrjVt2jQ3OTnZJTs7W1y6dEm3Y8cOTwBo1apVzqlTp5yTkpIMALBkyZJa1nF/+OEHD2v9xdTUVOXkyZPOTZo0yQMKll0fPXrUYLFYsGzZsloPPPDADQOqb731Vsq4ceN8TSaTHgBycnJETExMHQDIyspS/P3983Nzc8V3331Xy/a+FStWeFssFiQmJjqfOnXKOTQ0NGf06NEX4uLiam/evFlbvv7VV1/VPHXqlL5Dhw4ZsbGxtYGC2pTe3t7mWrVqlTnIWBp2uyYiIiIiIiIioirLrXOna/YMOlprPgKAlBKffvrpCb1ej2HDhl3dtWuXe0hIiFEIIadMmXLa39/fDAD9+vVLDQ4ONvr6+uYajcYsAHB3d5cxMTEnH3300QBXV1c1NDRUm+PevXtd33zzTX+dTiellGLYsGGXHnzwwazVq1d7tGjR4tpLL73kf+LEiRqdO3dOHzZs2NUbzXfQoEFpKSkp+vDw8CApJYQQGDp06CUAePvtt8+2b98+pFatWub77rsvMzMzU2e9r2HDhnmhoaEhmZmZuo8++uikq6urdHV1NS9cuPDPMWPG+F6+fNlJURTZsWPHzAEDBqS///77Z4cOHdo4MDCwuYuLi7pgwYKb1nMsCyFlmZZnExERERERERER3ZYDBw6cCA0NvVTZ87CXtLQ0xcvLS1VVFcOHD/cPCAjImTRp0oXSrl+9erXH7Nmz623ZsiW5Iuc1cODAxn379k2LiopKrcjnFHXgwIE6oaGhjW2Pcdk1ERERERERERHRLfjoo4/qBAcHNw8ICDCmp6froqOjq01g1V6Y+UhERERERERERHdEdct8pMKY+UhERERERERERER3DIOPREREREREREREVCEYfCQiIiIiIiIiIqIKweAjERERERERERERVQgGH4mIiIiIiIiIyGHodLq2wcHBzYOCgpo3b948ZOPGjW72fsapU6f03bt3bxYUFNS8adOmxgcffLAZACQlJRkCAgKMN7p39erVHt27d29W0rm0tDRlyJAhjfz8/FoYjcaQ9u3bB23evNnu87cnfWVPgIiIiIiIiIiI6E5xdnZWjx49ehgAli9f7vnOO+/49uzZM8mezxg7dmzDhx56KH3ChAkXAOCXX35xsce4Q4cObdyoUaPcEydOJOh0Ohw9etSwf//+Mo2tqiqklNDpdCXuV5RqEXysWbOmbNasxIAwVUPXrl2Dm1uVDuqTHfF7OxZ+b8fC7+1Y+L0dC7+3Y+H3diz83o5l3759l6SUPpU9j1NHrridPprq4RvsneEXUuuaPcdOS0vTeXl5mYGCYNzLL7/su3nzZi8hhBwzZsy5F154IXX16tUes2fPrrdly5ZkABg+fLh/WFjYtZEjR15esmSJ19tvv+3r6uqqtmvXLvPkyZPOW7ZsSU5JSXF6+OGH06zP6dChQ3bRZyclJRmGDBnSJDs7WwGAOXPmmHr27HkNADIyMnTdunVrduLEiRqdO3dOX7Rokeno0aPOv//+u9v333//pzVgGBwcnBccHJwHAJMnT673zTff1AGAYcOGXZw4ceKFpKQkwyOPPBLYpk2bzEOHDrnNmTPn5KuvvtrYur927drjgYGBefb8TYuqFsHHevXqIT4+vrKnQXfI1q1b0a1bt8qeBt0h/N6Ohd/bsfB7OxZ+b8fC7+1Y+L0dC7+3YxFCnKzsOZw6csVtzccHAi0WqRzYZFL7vBp67HYDkLm5uUpwcHDz3NxccenSJae1a9ceA4CFCxfWPHTokMuRI0cSz507p2/fvn3Iww8/nFnaOFlZWeKNN95otHXr1qPBwcF5/fr1a2I99+qrr16IjIy899NPP83q1q1b+ssvv3y5cePG+bb3N2jQwLx9+/Zjrq6u8tChQ86DBw++NyEh4QgAHDp0yO33339PCAwMzOvatWvAwoULvQ0Gg9q8efMsvb54OG/79u2uixcvrr1v374jUkq0bds2JDw8PKNOnToWk8nk/OWXX/4VHh5+IikpyWC7fzu/Y1mx5iMREREREREREVVJp4+melgsUoEEVItUTh9N9bjdMa3Lrv/666/ElStXHo+Kimqiqiq2b9/uERERcUWv18PPz8/coUOHzB07driWNs7+/ftr+Pn55VozD59++ukr1nMDBw5MT05OPhQVFXUpKSnJpW3bts3Pnj1bKGqYl5cnhgwZ0jgwMLD5U0891fSPP/6oYT3XsmXLa82bN8/T6/WIiIi4sn37dvcbvdPWrVvde/fufdXT01P18vJS+/Tpk7plyxYPAKhfv35eeHi4FrAtul/RGHwkIiIiIiIiIqIqyTfYO0OnE6oQgKITqm+wd4Y9x+/Ro8e11NRU/blz50pdHezk5CRVVdX2c3NzRVnGrlevnuWll1668v333//VqlWraxs2bCgUQJw+fXq9unXr5h85cuTwoUOHDufn52txOiEKP0IIgdatW+ccOXLE1Ww2l/X1AACurq7qjfYrGoOPRERERERERERUJfmF1LrW59XQY20ebnTGHkuui/r9999rqKqKevXqmbt27ZqxbNmyWmazGWfPntX/+uuv7g888MC1pk2b5iYnJ7tkZ2eLS5cu6Xbs2OEJAK1atco5deqUc1JSkgEAlixZUss67g8//OCRkZGhAEBqaqpy8uRJ5yZNmhSqrZiWlqarX79+vk6nwyeffFLbYrFo5w4dOuR29OhRg8ViwbJly2o98MADGUajMbdVq1bXoqOjG1iDoUlJSYbvvvvOq3v37plr166tmZGRoaSnpytr16717t69u10DtbeqWtR8JCIiIiIiIiKi6skvpNY1ewYdrTUfAUBKiU8//fSEXq/HsGHDru7atcs9JCTEKISQU6ZMOe3v728GgH79+qUGBwcbfX19c41GYxYAuLu7y5iYmJOPPvpogKurqxoaGqrNce/eva5vvvmmv06nk1JKMWzYsEsPPvhgljVQCQD/+Mc/LgwcOLDpd999V/uhhx5Kc3Fx0TISW7Roce2ll17ytzacGTZs2FUA+Prrr0+88sorfo0aNWpRo0YN6e3tbf7Xv/516v77788aMmTI5fvuuy8EKGg406VLl2zb51UWIaWs7DnctqCgIJmUZNeO6FSFscCxY+H3diz83o6F39ux8Hs7Fn5vx8Lv7Vj4vR2LEGKflDLMnmMeOHDgRGho6CV7jlmZ0tLSFC8vL1VVVQwfPtw/ICAgZ9KkSRcqe16V5cCBA3VCQ0Mb2x7jsmsiIiIiIiIiIqJb8NFHH9UJDg5uHhAQYExPT9dFR0dXm8CqvXDZNRERERERERER0S2YNGnSBUfOdCwLZj4SERERERERERFRhWDwkYiIiIiIiIiIiCoEg49ERERERERERERUIRh8dDBeXl4QQkBRbu3Te3l5QVEUKIoCFxcX/PHHHwCAunXraseFEBBC2HPaRERERERERER0F2Lw0UFYg47p6emYOnXqLd2vKArS09Ph7OyM48ePw9PTE7169UKfPn1w8eJFAICLiwtCQ0Ph6elp71cgIiIiIiIiIrotKSkpuuDg4ObBwcHN69SpE1q3bt1WwcHBzV1dXdv83//9n39J9zRs2LDluXPnbti0OS0tTRkyZEgjPz+/FkajMaR9+/ZBmzdvdquYt7i7sNt1Nebl5YX09HQIIfD666/Dx8cHEydORFBQULHzHh4e2raqqtr5jIwMAIBer8fx48fRtGlTODk5oVmzZgCACxcu4Pjx49ozs7OzceDAAQCAoiiQUmpZkIqi4Pvvv0ffvn3v2G9ARERERERERGR1zz33WI4ePXoYAKKjoxu4u7tb3n333fO3O+7QoUMbN2rUKPfEiRMJOp0OR48eNezfv9+lLPeqqgopJXQ6XYn7dztmPlYztsuqIyMjtSzHOXPmaEFHK9vz1m0ppbZ8Ojs7G8ePH4eqqvD29kavXr3Qt29fmM1mAIAQAj4+PujUqRO8vb3RrFkzLF26FABgMBigqir0ej2klFBVFc8//zyefvrpO/hrEBEREREREdHd7uSh/W7bFy+45+Sh/RWWSbh69WqP7t27NwMKsiO7dOkS0KxZM+OgQYMaSSm16z755JNaLVu2DAkODm4+ZMiQRmazGYmJic6///6725w5c85YA4bBwcF5Tz/9dBoATJ48uV5AQIAxICDA+O6779YFgKSkJEPjxo1b9O/fv3FgYKBx3bp17rb7f/zxh6Gi3vVOY/CxmrlZwNGW7XnrtjULUkqJ/Px89OrVCxaLBfn5+UhOTsaaNWsAADqdDjVr1sSlS5eQnJyM1NRUHD9+HMOHDwcASClRp04dLVAJAE5OTrh27RqEEOjXr19F/QREREREREREVE2cPLTfbeX7UwJ//WF5w5XvTwmsyACk1dtvv92gU6dOmcnJyYn9+/e/eu7cOQMA/PbbbzWWLVtWKz4+/ujRo0cPK4oiP/vss9r79++v0bx58yy9vvgC4+3bt7suXry49r59+47Ex8cfWbhwoc/OnTtdAMBkMjm/9tprF5OTkxObNWuWZ7sfGBiYV9Hveacw+FgN2GY73izgWBJrtmNERASklEhPT9fOHT9+HHq9HqmpqXB2dsaTTz4JALBYLEhNTYWUEhcvXoROp4OzszOysrIghEB+fj4uX74MAKhXrx7q1KmDefPmASioC7l161Ztzk5OTli+fLmdfg0iIiIiIiIiqi5Mh/Z7WMxmBVJCNVsU06H9HhX9zD179ng8++yzlwHg6aefTvP09LQAwLp16zwSEhJcQ0NDQ4KDg5vv2LHD888//3S+0Vhbt251792791VPT0/Vy8tL7dOnT+qWLVs8AKB+/fp54eHh16zXFt2vLhh8rAZssx2LWpW8ClJKDFk9BO/98h5sU4WthBC4dq3kv9uRkZGYNGkSACAnJwfLli3TztWrV0/b9vT0hK+vLwBoz9iwYQMA4Pz581ogEiioC1mrVi2cPHkSbdu2hdlsxpNPPgm9Xq8FKImIiIiIiIiI/Fu2ztDp9aoQChS9TvVv2TqjsuYipRRPPfXU5aNHjx4+evTo4RMnTiTExMScbd26dc6RI0dcbVd/loWrq6t6o/3qgsHHaqC0bMeY+BhsObUFAHDo8iFcyroEAFqGoxBC2w4KCsK3334LAAgMDMTXX38NAFiwYAGmTJlS4nMzMjLQp08fAMCwYcPwxx9/FDrfs2dPbfuDDz4odK5Vq1bw9/fHwoUL8d5770FRFPTv3x/R0dG38hMQERERERERUTXUqGXra/3HTjrW7rEBZ/qPnXSsUcvWFZ4Z2LFjx4wFCxbUBoC4uDjP9PR0HQA8+uij6atXr/Y+c+aMHgDOnz+vO3bsmMFoNOa2atXqWnR0dANrE9+kpCTDd99959W9e/fMtWvX1szIyFDS09OVtWvXenfv3r3SAqiVgcHHu5jtcmtb1mzHZceuZykmjkjE6U9PlzrWqVOnMHjwYAAFmYv/93//d9PnZ2Vlac+eO3cuAKB169YAUGxOL774IgCgTp062rE6deqgefPm+OCDD9C4cWNtuffjjz8OIUSpQU8iIiIiIiIichyNWra+9sCQyJQ7EXgEgJkzZ57duXOne7NmzYwrVqzwrl+/fh4AtG3bNmf8+PFnwsPDAwMDA5s/9NBDgadOnXICgK+//vrEhQsXnBo1atQiICDAOGzYsCb169fPv//++7OGDBly+b777gtp27ZtyLBhwy526dIl+068R1VRvBIm3TUiIyPh4+ODiRMnFlpevf3UdgDAnqg9kHkFS6BlnoRLMxc0Hd9Uuz/xhUTI/OLLsI8fPw5/f3+YTKZCx52cnGA2mwst3V61apW2LYTA/v37ARS0hRdCaOc8PApKMhw+fBh169ZFUlIScnJyAABXrlzBlStX8Oeff+K9997DhAkTigUviYiIiIiIiIjsKSYm5qx1u2/fvhl9+/bNAIB77rnHsnPnzuMl3fPCCy+kvvDCC6lFj9eqVUv97rvvTpZ0z+TJk89Pnjz5vO2xoKCgvOPHjyeWtl+dMMJzl7HNdmw0rBGWX10OKaW2vPq7gd9pGY4yT8I9wB2PLH4EEEB2cjYSIhO0PwAQ8H4AQr4MKRaGtgYe73/6fgDQmsgABZ2un3zySQghtAYzQgj4+vpCSqn9sWZS2qpbty4AIDk5GV27dgUAbNu2DVJK9OjRA++88w4iIiIKBS6JiIiIiIiIiOjuxODjXcbaXEZKidjEWK2Oo5VxvhEtFrTQ/kxZPAXrBq+DVAsCgocPH8bsvbPRe3lvGFwNOD72OI48dwSwAN6Pehd73o7vdgAChbIdzWYzIiIiABR0rlZVFdeuXcPp06ehKAr8/f0BAIsXLwaAEoOQUkr8+OOPAKAFIe+///5C9xERERERERER0d2Nwce7TGnNZazZjgmRCUiZmQJ/D39EGaMQHVa4gUtISAiiw6Lxw+M/wFVxRa2GtQABQAKp6wqyhl0CXdBiQQtA9/dNNiuzi3bLtmZiurm5QVVVqKpaaLm2lBKLFy/W7lu3bh0AFMpsVBQFQghMnjxZO2axWDB58mQoigJFUdC5c+dy/U5ERERERERERFT5WPOxirINznl6eiI9PR1CCKiqilXJq4pdP3jVYKTlpSHcPxzRYdEQQmAt1mIURhUa09nZWau1CABILTguISEUAcWgwNvLG6f/exqwAI3HNYZ7kDsSRyRq9SOFEAgICABQuO6kVXZ2Ntzc3AAAvr6+WjBSSokhQ4Zo21ZFA5q27z5p0iRMmjSpfD8eEREREREREVVVqqqqQlGU4k0o6K6mqqoAoBY9zszHKqpVq1YIDw8HcH2pNQDExMdo9R0BoIa+BgBgcd/FWDNgjZbp2KhRI+Tm5iI3NxdAwfLo/Px8LfCYkXG9q/uRI0fg4eEBqUq4OrnCI90DV3++iqYjmsI9yB1A8eXcHaM6Aig5E9O6FLtoFiQALQvS+gcA9Ho9NmzYAACFjru4uDDwSERERERERFS9JFy8eNHr70AVVROqqoqLFy96AUgoeo6Zj1XUgQMH8Oabb2LTpk2YM2cOli5dCgDYZNqkXVM0G7Fz58746aeftKzDZs2awWQywdnZGbm5udDpdMUfBCA4OBiurq4ACuo5Hjt2DADw53/+hPyPhNAJdPyqIzLyM7TnJuQlaM+1ZkHequDgYPTs2bPY8ezsbCiKAmdnZyxZsgSPPfbYbT2HiIiIiIiIiCqX2Wx+PiUl5YuUlJQWYFJcdaICSDCbzc8XPcHg411iVfIqSCnhZfDSjhnnG0us66iq1zNcTSYTcnNzERoaiitXrmjHPTw8tG0pJSZMmIBp06bBYrGgT58+WLWq8NLumPgYxCbGlvjcpUuXYtCgQeV+p/Xr10On02H37t3Fzv3yyy9o0qQJfHx80L59ewwcOFDrtk1EREREREREd6e2bdteAMDsIgfC4ONdwHap9XcDv9OyHRMiE7C883JE74wu9d5GjRpBCIH9+/cXCjgCBY1eVFWFEAJ6fcFfhby8PKxevVo7Z2UNNG4ybUK4f8Fy8D4r+iDcPxx+8ANQ0HzGtjYlUHr9RwD46quvYLFYCs1LCIHatWvj8uXL2vLrbdu2wdXVFUIIrW5ldnZ2eX9GIiIiIiIiIiK6wyotvVUI4SeE2CKEOCyESBRCvPH38clCiDNCiP1//+ldWXOsbPvO7wMALDu2TDtmnG9E7+W9cfnyZQDArl27oNPptK7Q/v7+2rVOTk4AgPT0dDRp0kTLHAwNDYWUEhaLBQDQpUsXrRbk4cOHIaUsFHi0ig6LxpoBawAAsYmxMGWYEJsYqzXAsa1NaVXe+o+TJ08u3BDn7/kBwO+//w5VVTFz5syy/YBERERERERERFSpKjPz0QxglJTyNyGEB4B9QoiNf5/7UEr5QSXOrdIMWT0Eh68chrfBGwmXCuoqWmstWoX7h6NWrVrFukTb8vDwgNlsxt69e/Hwww/DZDLBZDLB19cXCQkF444ZMwYA8Mwzz+D++++Hu7s7QkJCbjrHonUnrfUf586de9v1H6dNm4a1a9fi4YcfhqIUxMallGjSpAlat24NoCB4SkREREREREREVV+lBR+llOcAnPt7O0MIcQRAw8qaT1UwZPUQHLp8CACwdfBW7XhCZEKh7ZsttQaAzMxMAEC7du20Y35+BcujLRYLhLjeVGrEiBFwdnbGnj17yjTPcP9wu9d/BICWLVtCSqk1n7FmX9aoUQPZ2dlaw5wePXqgW7dut/QMIiIiIiIiIiK6c6pEzUchRGMAbQD8AqALgNeEEMMBxKMgOzK1Eqd3xxy+cljbbrGgRaFzJTWWuZEbZUXerqL1H8szr9KsX78ehw8fxtWrV4udk1IiNTUVV65cwbp16/D000/j4MGDaNWq1W0/l4iIiIiIiIiIKo6oyCBVmSYghDuAbQCmSylXCCHqAbgEQAKYCqC+lPLZEu4bAWAEAPj4+LSNi4u7g7OuGB+c/QAn809q+x7CAzV0NRDqEorHaz1eiTMru61bt2LKlCnYsmVLsXPZ2dno06cPAMDHxwdLlizRzk2dOhWbN28uds+WLVvQr18/NGnSBHPnzgVQkPk4dOhQREVFVdBbUFWSmZkJd3f3yp4G3SH83o6F39ux8Hs7Fn5vx8Lv7Vj4vR1L9+7d90kpwyp7HnR3q9TgoxDCCcBqAOullDElnG8MYLWUskXRc7aCgoJkUlJSxUzyDrPWfGxeqzkW911c2dMpk5j4GC0L0u8vP0RERABAoa7X5WXb9Xr48OFYsWIFXFxccOnSpUJZnZUdPKeKt3XrVi6zdyD83o6F39ux8Hs7Fn5vx8Lv7Vj4vR2LEILBR7ptlbbsWhQUHfwSwBHbwKMQov7f9SABoD+AhJLur67uloCjVUx8jFb/cXSX0ZB59gsMWrte//e//8W6detw4cIFCCHQrl075OXl4a+//rqt8YmIiIiIiIiIqGIplfjsLgCGAXhICLH/7z+9AcwSQhwSQhwE0B3Am5U4R7oJ287XxvlG9F7eG1JKxMXFFWpqUx7Z2dnQ6/VYuXIlAECn0+H8+fOQUkJVVcyaNQuHDh3Ck08+aZd3ICIiIiIiIiKiilGZ3a53ACgpOrX2Ts+Fbp1t52vr/u3q0KEDgoODta7XRW3btg2qqmLevHm3/SwiIiIiIiIiIqo4VaLbNd297N35+kZdr62++OIL1K5dGy4uLrf1LCIiIiIiIiIiqliVueyaqonosGisGbAGANBnRR/ExBfrHVRIdnY2FEWBoijw9/cvdO6rr76CxWKBh4eHtmy76PLtM2fO4NlnizVAJyIiIiIiIiKiKobBR7ILa+MZU4YJsYmxWJW8CgDg5eUFIQQU5fpfNRcXF6iqClVVYTKZCo2zePFiSCm1P0BB45o6depACIHPP/8cUkp06NABTk5OWhBz6NChd+5liYiIiIiIiIioTBh8JLuwbTyTOCIRi95ZBCkl0tPT4evre1tjT5kyRet8PWPGDNSuXRvPPfccQkNDoaoq5s6di8WL764u4UREREREREREjoDBR7IL20YzxvlGzN47W8tejIm58TLsG8nKysK0adO0ztcnTpzAsmXLIIRARkYGAODUqVOFMiuJiIiIiIiIiKhqYMMZsgt7N56xKq3zdVxcHB555BGtHuS7775rl+cREREREREREZH9MF2M7MbaeMZegUdr5+vdu3cXO/fmm28iODgYUkq89dZbmDhxIvLy8uzyXCIiIiIiIiIisg9mPlKFiImP0bIg/eAHoKD5THp6OoQQUFUVQEHnazc3NwCAr69voQY0tp2vrYQQ8PT0RHp6Ov73v/8BANq3bw8AqFGjBhRFwffff4++ffvekfckIiIiIiIiIqLSMfOR7K60zteRkZGYOnVqoWvL2/l68uTJyM/PBwB88MEHAIDBgwcDAPLz8/H888/j6aefrtD3IyIiIiIiIiKismHwkeyutM7Xc+fOxcKFC29r7GnTpmn1HXfu3AlFUZCfn4+HHnoIOp0OH3/8Ma5du3ZbzyAiIiIiIiIiIvtg8JHs7kadr6dPn37L47Zs2RLBwcEICwsDAFgsFqiqCldXV1y8eBEAMHDgQADAr7/+ehtvQERERERERERE9sDgI9lddFg0ooxR8PfwR5QxqsQGNF5eXhBCQFHK9lewpOYz1vuzs7Nx+PBhKIqCn3/+GUBBl2xFUTBt2jT7vBQREREREREREZUbg49UIWw7X8fEx6DPij6IiY/RzpdU/zE7OxuKokBRFPj7+xc6Z9t8pnv37tpxa71Is9kMVVXxwAMPAADMZjPGjh2LSZMmVeBbEhERERERERHRjTD4SBWqtOYzc+bMQVBQUKFry9p8ZsuWLQCgdbTes2cP8vLyAACrVq2Cs7MzdDodZsyYAVVVsXHjxop+TSIiIiIiIiIiKoG+sidA1VvR5jMJeQkACpZMBwQE3NbYq1evhqIocHJy0oKPABAVFaVt6/V67Nq1Cz179rytZxERERERERERUfkx85EqVFmaz5S3/iMAbNiwAWazGefPn9cCj0IIAMChQ4cAAJ9//jnMZjMmT56MkJAQe70SERERERERERGVETMfqUJZm81sMm1CuH94ic1nIiMj4ePjg4kTJ2rHsrOz4ebmBgDw9fUttgzbmsno4+MDJycnreajt7e3dp814FinTh37vxgREREREREREd0Ug49U4aLDorWgY0x8jBaI9IMfgIL6j0uXLi10j7X+Y2k2btyInj17wmKxID8/HwaDAQDQq1cvLFu2DBaLBT/++CMURdGCkUREREREREREdGcx+Eh3jLX5DACM7jIaMk8CuLX6j71794bFYtH28/LyoCgK6tSpA1dXV+j1egghMGnSJMTGxtrvJYiIiIiIiIiIqMxY85HuGNvmM8b5RvRe3rtQ/UcpZZlrP+bn52udsa31H11dXXHx4kWkpaVBCIEZM2Zg0qRJuHDhAo4ePQpFUaDT6RAdXXzpNxERERERERER2R+Dj3TH2DafKWkfAKZOnVrsWHZ2NhRFgaIo8Pf3L3a+Z8+e0Ol0UBQFjRo1gsFggKqqGDt2LACgZs2aCAgIgKqqmDVrFj788EM7vREREREREREREd0Ig490x0SHRSPKGAV/D39EGaMAAH1W9EFMfAyAguXXQUFBxe6z1n9UVbVY4xmgoP6j1dmzZ1G7du1C5w0GA3Q6HQDgwoULdnsfIiIiIiIiIiK6MdZ8pDvK2nymtPqPERER5R7TWv9RyoIxUlJSULduXXz66ad48sknteuEEACAt95663Zfg4iIiIiIiIiIyoCZj1QpSqv/GBcXByEEvLy8yl3/0Vr78fz587h48SKefPJJCCEghMDMmTMhpcTIkSMRExODSZMmQQiBfv36VeRrEhERERERERE5NAYfqVLcrP5jZGRksfqP1tqPDz300A1rP/r4+MDJyQlCCG25trX+45w5c2A2mzF9+nQYDAY7vxUREREREREREdli8JEqhW39x5a1W2KTaZNW+xEoCBIWrf9orf24efPmG9Z+tFgsyM/Ph5OTEwBg4cKFsFgsAIBp06YBAFq2bAlnZ+cKeTciIiIiIiIiIirAmo9UaaLDogGgxNqPQggEBASUazxr7UervLw8rUv2M888AyEEpJQQQuCXX35BnTp17PQmRERERERERERUEmY+UqUqrfajlBLTp08HgDLXf7TWfixa/9E2IAkAXbt2hcFgQHZ2NlavXq0FKJs0aWL/FyQiIiIiIiIicmAMPlKlulntR+DG9R8VRSlX/UcA2LZtG4QQMJvNAID+/ftDVVX89ddf9notIiIiIiIiIiICl11TJbMuvd5k2qQFHvus6INw/3D4wQ9AQf3HpUuXFrrPWv+xNBs3bkTPnj21+o/W5jJSSu0aJycnWCwWLF++3K7vREREREREREREBZj5SJUuOiwaawasAVBQ/9GUYcLoLqMRERGh1Wj85z//Wa4xe/fuDUVRtKYz1vqPdevWxcWLF7XrpJRQFAUGgwH//ve/7fdSRERERERERETE4CNVHWWp/1hWpdV/zM7ORvv27QEABw8eRHJyMlRVxVNPPYWRI0fa9X2IiIiIiIiIiBwdg49UZZSl/qOXlxe6d+9eqPlMeeo/5ubm4sSJE1AUBUajEcuWLQMAfPPNNwCgjaPXsyIBEREREREREdHtYoSFqoyy1H+MjIxEZmYmYmNjtftupf5jbm4uNm/ejAcffBAAMGLECADA0qVLMXDgQPz8888V8o5ERERERERERI6EwUeqUqLDohEdFo2Y+BjEJhYEGEd3GQ2ZV9AoZu7cuWjYsGG5xuzduzcsFou236VLFwDAqFGjcODAAQAFtR89PDwwcOBAAEDXrl1v+12IiIiIiIiIiBwdl11TlXSj+o/PP/98ucayrf/o4eGBLVu2QFEUnDlzBufPn4eqqqhTpw6cnJyg1+uhKAq6detm5zciIiIiIiIiInI8DD5SlXSz+o/WLti2tR/LYvny5TCbzXB1dcXFixdRt25dKIqCzMxMXL16FY0bNwYAbNu2DUIICCGwb9++23oXIiIiIiIiIiJHxeAjVUnRYdGIMkbB38MfUcYoAAX1H2PiY7Rrpk6dWuy+sjafURQFjRo1gsFggKqq8PPzg6+vr9b92tPTE/Xr14der0fbtm0r7kWJiIiIiIiIiKoxBh+pyooOi8aaAWsAALGJsTBlmBCbGItfM3+FEAJBQUHF7rE2n1FVFSaTqdj5jRs3attnz55F7dq1AQBvvvkmzp49i8zMTJhMJmRkZODSpUsICwuroLcjIiIiIiIiIqr+2HCGqjzb+o+JIxKRkJcAAIiIiCj3WNbmM1IWNLBJSUlB3bp1kZiYiLlz58LDwwNCCAQEBODYsWOYN2+efV6CiIiIiIiIiMgBMfORqjzbeo/G+Ub8Y/k/IKVEXFwchBDw8vIqc/1Ha/OZDRs2wGw24/z581rtx6SkJAghMGPGDNx7773Q6XTo3Lmztoz7gQceqMjXJCIiIiIiIiKqdpj5SFVedFg0gIIMSC+DFw6kHUBMfAz84AcAiIyMhI+PDyZOnKjdk52dDTc3NwCAr69vsSXYPXv2BAD4+PjAyckJZrMZqqpq5ydNmgSDwYCaNWvi7Nmz2LlzJ+6//35cuXIFtWrVqtD3JSIiIiIiIiKqLpj5SHeF6LBohPuH49DlQ7hovojYxFisSl4FAJgzZ06x+o9lrf1osViQn58PJycn7VxCQgJyc3NRr1495OTkwGKx4PTp0wAAd3f3inpFIiIiIiIiIqJqh5mPdNcorfajtUZjeVhrP1rl5eVBURTUqVMH9957L1xcXLB+/XoYjUbo9QX/mgwePBgGg8EOb0JERERERERE5BiY+Uh3jaK1H2fvnQ0pJaSUmD59OgCUuf6jtfZjSfUff/nlF+Tk5CAoKAgGgwFmsxnvvvsuvv32WyiKAp1Oh48++qgiX5WIiIiIiIiIqFpg8JHuGtFh0YgyRsFH74MoYxQAoM+KPoiJj9GuiYyMxNSpUwvdl52drTWN8ff3LzZuz549odPptPqPQgioqgqDwYAXXngBOp0OH3/8MQDgn//8Jz755BOMGTOmAt+UiIiIiIiIiKh6qLTgoxDCTwixRQhxWAiRKIR44+/jtYQQG4UQx//+p3dlzZGqnuiwaExsWNBYJjYxFqYMU4XVf3Rzc8P3338PALh8+TIAoE+fPnjxxRdhNpuxdevWinhFIiIiIiIiIqJqozJrPpoBjJJS/iaE8ACwTwixEUAkgE1SyplCiLcBvA1gbCXOk6qgO1H/0dPTEyaTCYqiQEoJJycndOzYERMmTAAAbN++Hd26dbv9lyEiIiIiIiIiqqYqLfNRSnlOSvnb39sZAI4AaAjgcQBf/X3ZVwCeqJQJUpVWlvqPZVVa/UeLxYJGjRpBVVUcPnwYNWrUgKIo+PDDD6EoCpvPEBERERERERHdRJWo+SiEaAygDYBfANSTUp77+1QKgHqVNS+quqz1H/09/Eut/1iS8tR/fOaZZ3D27FkAQEhICNLT06GqKtLS0qCqKh577DH7vxgRERERERERUTUipJSVOwEh3AFsAzBdSrlCCHFVSlnT5nyqlLJY3UchxAgAIwDAx8enbVxc3J2aMlWyzMxMuLu7a/v/u/I//JTxk7bvd8gPP87+Ea6ursjKygIAbNmypUxjx8fHIywsDBaLBU888QSuXbsG678jjRo1woIFC/Diiy/i2LFjAAqWeUdFRWHYsGH2ej0qouj3puqN39ux8Hs7Fn5vx8Lv7Vj4vR0Lv7dj6d69+z4pZVhlz4PubpUafBRCOAFYDWC9lDLm72NJALpJKc8JIeoD2CqlDLrROEFBQTIpKaniJ0xVwtatWwvVWuyzog9MGQWNZBJHJELmXf877evrizNnzkBV1TKN7eTkVKj+o4uLC1JTUzFhwgTMmjULQEHAUafTIScnB+PHj8esWbMK3UP2VfR7U/XG7+1Y+L0dC7+3Y+H3diz83o6F39uxCCEYfKTbVpndrgWALwEcsQYe//YDgGf+3n4GwP/u9Nzo7nKj+o8xMTdehl2Ubf1HIQQ+/fRTGAwGvP/++9qYXl5eeOihh6DT6TBjxgyoqqp1zCYiIiIiIiIiousqs+ZjFwDDADwkhNj/95/eAGYC6CmEOA6gx9/7RKUqWv8xOizaLuOqqop3330XOp0OBoMBCxYsAABkZWXBaDRq1+n1euzatcsuzyQiIiIiIiIiqk4qs9v1DimlkFK2klK2/vvPWinlZSlluJQyQErZQ0p5pbLmSHeP6LBorBmwpsTAo5QSQggoSvn/uhsMBuTl5UGn0yEqKgpCCOTl5QEAPv/8c+h0OpjNZsybN++234GIiIiIiIiIqLqpEt2uiewpJj6mWOfrqVOnFrvuZp2vAWDSpEno1q0b9Ho9gIJApqurKxITExESEoLx48cDAFxdXSvgTYiIiIiIiIiI7m4MPlK1EhMfg9jEWJgyTIhNjMWq5FUQQiAoqHjPIhcXF62+o8lkKna+fv36+Pe//41du3ahffv2Wubk448/ji1btqBLly5aFiSDj0RERERERERExekrewJE9rTJtEnbThyRiIS8BABAREREucdat24d2rVrB1VVsXnzZgghYDAY8Omnn2L9+vXQ6/UQQsDLy8tu8yciIiIiIiIiqk6Y+UjVSmmdr+Pi4lDQYL3sWrVqhdzcXABASEgIVFVF79698eKLL+Ly5cuQUkJVVdSsWdOer0BEREREREREVG0w+EjVys06X3t5eRVrPlPW2o8AEBcXB4vFAiEEhBAIDQ0FAJhMJm0MnU6HWbNmVdAbEhERERERERHdPRh8pGrH2vkaQLHGM5GRkcWaz5S19iMANGrUCACQm5sLKaV23NnZGb/99htUVcWQIUMwbty4Cnk3IiIiIiIiIqK7CWs+UrVkbTwDAKO7jIbMkwCAuXPnIiAgoFxjWWs/KooCKSWeeuopGAwGbN68GeHh15d5t2nTBocPH8aoUaPw9ddf2+9liIiIiIiIiIjuUsx8pGrJtvGMcb4RvZf3hpQSUkpMnz69XGNZaz+qqgoA+O2336DT6fDoo48iNjZWG1dKiZCQEAwePBienp52fR8iIiIiIiIiorsRg49ULdk2nilp/3YYDAZYLBb07t0bzz//fKFzr7zyCo4ePYqNGzfa7XlERERERERERHcrBh+pWrpZ4xnA/s1nGjRogE8//RT33XcfOnbsqDWfiY4u/mwiIiIiIiIiIkfA4CNVW9bGM9Fh0YiJj6nQ5jMrVqzAuXPnMGbMGMTFxSE/Px+qqmLWrFn48MMPK/AtiYiIiIiIiIiqLjacoWrvTjSfiYyMBAB88MEH+OCDDyCEgMViwYULF+z6LkREREREREREdxNmPlK1dyeaz2RnZyM2NlbLmnzssccghMCsWbPw1ltv2fV9iIiIiIiIiIjuFgw+UrVXGc1nVq5cCSklRo4ciZiYmBuMQERERERERERUfTH4SNVe0eYzAIrVfyxJeZrPLF++HBaLpdj5OXPmwGw2Y8+ePbf5FkREREREREREdx8GH8khWJvPAEBsYixMGSbEJsZiVfIqACV3vi5P85nXXnsNALTO16GhoQCADh06AAA6d+4MRVHQpEmTintJIiIiIiIiIqIqhg1nyKHY1n9MHJGIhLwEAEB6ejp8fX1x5syZMo9VtPmMwWBARkYGWrZsiYMHD2rHFUUpMSuSiIiIiIiIiKi6Y+YjORTbeo/G+UbM3jtbaz5T3tqMts1nFEXBf/7zHxgMBiQlJUFKCVVV8eqrr0KvZ4yfiIiIiIiIiBwTg4/kUIrWf4wOi7bLuKqq4t1334VOp4PBYMCCBQu0c3l5eVAUBQaDQVumTURERERERETkCBh8JIdjrf9or8CjVUmdr1999VUkJydDVVU89dRTGDlypF2fSURERERERERUlTH4SFQGt9r5OiQkBE2bNgUAfPPNNwDAztdERERERERE5DAYfCSHFhMfgz4r+iAm/sb1HsvT+fqNN97QumZv3rxZC0ROmDABANCuXTt7vgIRERERERERUZXFThjksGLiYxCbGAsAGN1lNGSeBAAIIdC5c2fs3LmzzGPZdr4WQmDGjBkAgFGjRuHAgQPauGPGjIFOp7PzmxARERERERERVU3MfCSHtcm0Sds2zjei9/Le8PT0BADs3r27XGNZO1/n5+ejfv36GDt2LIQQWrakqqp4+eWX8cEHH0BRFHbAJiIiIiIiIiKHwOAjOaxw//Bi+5GRkZg6deotj9mtWzekpaUhNzcXUkptKfbBgwfx8ccfY/ny5VBVFZs3b76tuRMRERERERER3Q2YfkUOy9rtepNpE8L9wwv2w4ClS5fe8pi7du1CbGwsDAYDAKBr164AgKioKPj6+qJ///6FjhMRERERERERVWfMfCSHFh0WjTUD1miByNulqireffdd6HQ6GAwGLFiwAABgMpmQlZUFvV4PRVHQrVs3uzyPiIiIiIiIiKgqY/CRyM4MBgMsFgt69+6N559/HkBBUPLq1as4fvw4du3ahW3btuHLL7+s5JkSEREREREREVUsBh+JUND5us+KPoiJj7nhddnZ2VAUBYqiwN/fv8RrJk2aBABYvnw5LBYLAKB27drw9fVFkyZN0LFjR3h6emLlypX2fQkiIiIiIiIioiqGwUdyeDHxMYhNjIUpw4TYxFisSl5V6rUuLi5a92qTyVTsfP369bUmM2+88QYUpeBfsTfffBNnz55FZmYmTCYTMjIy0KNHj4p5ISIiIiIiIiKiKoINZ8jhbTJt0rYTRyQiIS8BACCEQOfOnbFz584yj7Vu3Tq0a9cOiqJACIEZM2YAAF5++WXMnTsXHh4eEELAaDTiH//4h13fg4iIiIiIiIioqmHmIzm8cP9wbds434jZe2dDSglPT0/s2rVLy14si1atWiE3NxeqqiIvLw9z586FEAJCCBgMBkgpERQUhMTERG35thAC+/btg5eXF4QQUBSl1O0bsTazsY5pvce6XdIf6/l+/frd8u9HRERERERERFQaBh/J4UWHRSPKGAV/D39EGaO0zteRkZGYOnXqLY/brVs3pKWlITc3F1JKbTn2kSNH4OHhASklpJQAgHbt2hV6XmnbVtZAo20g0WKxwGAw4JVXXtGus44PAPHx8XB2dgYAXL58GaGhodDpdHB3d7/ldyQiIiIiIiIiuhEGH4lQEIBcM2CNFngEgDlz5iAoKOiWx9y1axfMZjOcnZ2hKAr69eunZRvaBhR9fX2LPc+6bQ1aTpgwAVLKYoHGiRMnFnpmbm4uPv74YwDAiBEjsG3bNu3cZ599htzcXABA3bp18fLLL8NsNuPatWtYvXo1FEWBk5MTli9ffsvvTERERERERERki8FHogqiqioMBgOAggzE9u3bawHHOXPmoFatWgCAV199tdQxhBBQVRVxcXEAgMaNG0MIgRo1ahQazyokJAQGgwE6nQ7z58/Hgw8+qJ374osvAABt27ZFaGgoxowZAwBQFAXh4eFQVRWhoaEYNmyYnX4BIiIiIiIiInJ0DD4SVaCGDRtqgcMtW7YUyqScP38+AKBp06Y3Hef06dMAgJEjRwIAcnJycPbsWbi6umrX1KhRAxcvXkReXh4sFgsAoH379sXG2rdvHy5dugRPT08AgLOzM1xcXAAAAwcO1LIjiYiIiIiIiIhuF4OPRLcoOztba/Di7+9f4jWTJk0CAG2ptK3ExMRi169KXgUpJWLiYwod/89//gMAiI6O1uo4/vHHH7h27Zp2TU5ODi5duqTt7969G7/++qu2/8Ybb2jbJpMJZ8+eBQBkZWXh1KlTAIDx48dDVVUoigK9Xo958+bd5FcgIiIiIiIiIiodg49ERcTEx6DPij7FAoBFubi4QFVVqKoKk8lU7Hz9+vW1JjNSykLdqhMSEmA2myGE0AKOQ1YPwZZTWwAAX/z+BSIiIrQ6j0eOHAEALYsSAEJDQwEUNJ8BgHPnzhV6RtHg5meffVbovJQSLi4uUBQFCQkJ2tLrCxcuQFVV9O/fH9HR0SAiIiIiIiIiulUMPhLZiImPQWxiLEwZJozuMrpQALBLly7lGmvdunXYu3cvIiIiAAC9Xu2lBRofevohQFcQAFz0ziIAwLf9vsXpTwuWVx8ZcaTEMa1jAcCBAwcAAGazGUBBsFNVVQCAwWDA888/X+je3Nxc7bxVdnY2VFWFxWLB5s2boSgKfvzxRwBAeno6AODxxx+HEAJTpkwp1/sTERERERERETH4SGRjk2mTtm2cb0Tv5b0hpYSUEjt37iz1Pi8vL62TNVAQxByXPA4Dlw+E78sF3axPtj2pZTZeOn4JsJQ6HIReoMWCFnALcbt+TBHw9vYGAG3ptZW7uzuEEBg/fjwAIC8vr+AeISClREZGBoCCpjNSStSvX7/YM2NjY9G6dWtERUVBCIENGzZgypQpWLNmTaGMSSIiIiIiIiKismJEgchGuH94iftFg4tW1uPp6ela5+ka7jUwqt0orB24Ft8N/E7LZkyITNC2ZZ6ESzMXQBSZwN/70iyREJmAa0cKajp6dfaCVCVSU1MLLhOi0JwyMzMhpcR7772HMWPGaAFTa6aju7s7nnjiCbzwwgtQFAXnzp3D448/XiiI+eyzz+K3336DqqqQUqJHjx545513EBERASGKTpSIiIiIiIiI6OYYfCSyER0WjShjFPw9/BFljEJ0WEHNw8jISC24aMt6XAihdbK+58F7UHdAXQAF2ZMtFrSAS4ALhLNAyPwQtFjQAo3HNUbT8U3h5OOEGt410Ht5b+icdMDfscCFCxeix3M9AADCScBvhB/8RvoBAHov741+b/RDWloaAMBisSAuLg5CCLi7u+Nf//qX1gjHthnOypUroaoqtm/fDgD4/vvvAQB9+/YFcD2b0hrQ3LSpIAt08eLFsFgsmDx5sjZm586d7fejExEREREREVG1xeAjURHRYdFYM2CNFngEgDlz5mjBRduMQ9vjViOnjIShnkHbb1m7JbKTszHo7UF4vs3zaOjaEOfnn0dCZALyL+QjLy0P7we+D0v+9XXYkZGRCPMJAwDoPHUAgAtLL0BxUWDKMGH38d0lzt02SFpaMxxro5ovv/wSALBmzRrodDot+GgwGJCTk1Nsabdtg51du3aV5ackIiIiIiIiIgfH4CNROZWWBWkVHRaN7n7dAQBRxigs7rsYkMDer/diTIcxWB+xHmqmitzcXCQlJUFKiZYtW2r3P/bYY/jkk08wc+ZMAEAtj1pIW5yG3HO5qOFfAwmRCbi09hIAaM1w/vnPfwK4HiS1HlcUBdnZ2YWyIG2XYFtrQi5cuFB7fm5uLpydnbV965Lr7OxsTJkyBX369NHGdnO7XpOSiIiIiIiIiKgoBh+Jysk22zEmPgbv/fJesSzBfs36QQhRKHvyjz/+0K7Lzc2FwWDAqFGjUKdOHTg5OWnXjRo1Ci+++CKAgixEeU3i1IZTiBgfgXvH3YsWC1qgVo9aEDqB3st7Y/be2Zg+fXqxeVoDpLYZi9YsSOsSbGsjmuzsbAAo1ojm8OHDuO+++7T9yZMnY+3atfjwww+hqqrWGZuIiIiIiIiIqCQMPhLdIiklYhNjcSmrIAsxIiICUkp43+OtXWPNOgSA2rVraw1ggIKMwtWrV6NRo0bIz8+HXq8HAGzcuBFRUVHadRcvXsSYMWOwZOoSrR7lI288AmmROPL7EYzuMlp7tjUL0rYG5Y2U1ogGAGrVqoWOHTsiPT0dADB69Gjcc889cHNzw5gxYwAAXbt2vZ2fkIiIiIiIiIiquUoNPgoh/iuEuCCESLA5NlkIcUYIsf/vP70rc47k2GLiY9BnRR/ExMcUOr4qeVWp91w9fxWvjHoFwPWsw/r16yM4OLjQdVJK6PV6xMfHw93dXQtMTp8+HV999RUAIC8vDwDwwQcfQAiBUe1GYc2ANYhfHA8AqNGkBozzjei9vLfW4bpoFqRtjcqiS7CBkhvRvPHGG7hy5QrS09ORnJwMIQRmz56NlJQUKIoCs9msjWn9M3To0Fv6jYmIiIiIiIio+tJX8vMXAJgHYGGR4x9KKT+489Mhui4mPgaxibEAgNFdRkPmXe8G7VSvYJl04ohE7TgAuDRzQY4pB5dOXdKu7dy5M9atW4d27dppWZCDBw8GAPzvf/9Dnz59kJmZCSEEHnroIWzatKlQAxigIFDZuHFjnDx58nom5SO1odMVNKPxMnihz4o+CPcPhx/8Cr1HZGQkfHx8MHHiRC0YWhLbRjSfffYZGjZsiMuXLyMnJwd6vR55eXkQQmhLtV1dXZGVlYUDBw7g559/xuuvv45vvvnmVn9uIiIiIiIiIqqGKjX4KKX8WQjRuDLnQFSaTaZN2rZxvrHQuau/XMXpT0/DON8IndChea3mOHT5kHY+yhhVqN4jUFDnEQAaNGig1V5cu3YtFEWBxWLBwYMH4evrCwBo3749EhIStEBfSWLiY7DJtAleBi/t2bZB0oiICAAFNSqXLl1a6N7s7GytWYyvry9MJpO2BPv5558HAKSkpGDhwoUYOnQo8vPztaAnAHz22Wd4++23kZWVheXLlyMnJ6fQeSIiIiIiIiIioOrWfHxNCHHw72XZ3je/nMj+wv3DSzyeOCIRpz89DQBIiEzA1Q+uYnHfxVo9xpICj7bWrVuHvXv3QlEUfPrpp5gxYwYA4JtvvkHt2rUhhMDvv/+uLYMuTXRYNNYMWIO0vDTtmHG+EaFfhWL23tmIi4vTOlUXVVITGqBgCbY14Pn5559jyJAhWhMaayami4sLXnzxRUyZMgUA8O6772LWrFmYPHnyDedLRERERERERI5HFO3Se8cnUJD5uFpK2eLv/XoALgGQAKYCqC+lfLaE+0YAGAEAPj4+bePi4u7YnKlyZWZmwt3d/Y48639X/ocD2QfgKlxxMv+kdryRUyNkySyEuoTi8VqP35G5lOZ/V/6HnzJ+KnSs6HLwhg0b4syZM9pSaQDYsmVLqWNOmDABO3bsgBACUkp07twZ06dPR9++fXHt2jXtOr1ej40bN2L8+PHYuXMnAEBRFEybNg2dOnWyy/vdye9NlY/f27HwezsWfm/Hwu/tWPi9HQu/t2Pp3r37PillWGXPg+5uVS74WNZztoKCgmRSUlLFTJCqnK1bt6Jbt253/LnWZc7h/uE3zGysDDHxMVh4eCEs0qId8/fwx5oBawAAS5cuxaBBg/D6669r9R+ttR9LWoJttXPnTtx///1a1qM1k9LaWdvZ2Rk5OTlwcXFBTk4Otm3bhsWLF+Prr79GZmamXd6tsr43VQ5+b8fC7+1Y+L0dC7+3Y+H3diz83o5FCMHgI922KrfsWghR32a3P4CE0q4lupOsy5yrWuARKJjb8ObDCx2zNqGx7dQ9Z84cBAUFFbqutCXYQOEmNFbWJjcAtABmTk4OAKBLly74+OOPC2VHEhEREREREZHjqtSGM0KIbwF0A1BHCHEawCQA3YQQrVGw7PoEgBcra35EdxNrUPRGTWiEEAgMDCzzmNYmNC+88AJeeOEFCCFgsVi0DEiLxaI1mqlZsyZ0Oh2eeOIJAMCvv/6K9u3b2+v1iIiIiIiIiOguVKmZj1LKwVLK+lJKJymlr5TySynlMCllSyllKynlY1LKc5U5R6K7SWlNaHov7w0pJaSUmDZtWrnGXLlypZYZaTAY8M4770BKieDgYLi7u0NVVaxbtw7Z2dlQFEWr/VijRg27vhsRERERERER3X2q3LJrIrp9RTt1l9S528vLC0IILXMRgBZAVBQF/v7+ha7fuXMncnNzMX36dACAv78/0tPToSgKnnzySVy6dAmqqmrBx9DQUK35DBERERERERE5JgYfiaqh6LBoRBmj4O/hjyhjFAAUq/8YGRmJqVOnFrqvrPUf8/LysGHDBuj1eqiqCjc3N/Ts2RMA0Lp1awCA2WzG2LFjMWnSpIp6TSIiIiIiIiKq4hh8JKqmrEuwASA2MRamDBNGdxmNiIgISCkxd+5cLFy4sMzj2dZ/dHZ2BgB89dVXAAqClnv27IEQAtnZ2ejWrRt0Oh1mzJgBVVWxceNG+78gEREREREREVV5DD4SVXObTJu07aL1H61LqMvKWv/RbDYDAI4fPw4AyMzMhBACUkoYDAa0adNGu0ev12PXrl12eBMiIiIiIiIiutsw+EhUzZWl/mN56XQ6vPXWW5g6dSp0Oh2byxARERERERFRiRh8JKrmitZ/jA6LLtN9N2o+AwDvv/8+zGYzLBYLevbsqQUgXV1dkZiYqF1nNpvRuXNn+7wMEREREREREd1V9JU9ASKqeNFh0VrQMSY+BptMmxDuHw4/+JV6j7X5TGl+/vlndO3aFRcvXsSiRYvw3HPPAQB69eqFZcuWwWKxYPz48VAURWtGQ0RERERERESOhcFHIgcSEx+D2MRYAMDoLqMh8yQAQAih/fNGAUdbEREROH/+PADA29sb8+fPx/z58+Hm5gZXV1fo9XptTCEEgoODceTIEXu/EhERERERERFVYVx2TeRASms+M3LkSEydOrVcY6WkpEBKidzcXKSmpuI///kPVFWFt7c3jEYjpJTYtm0bJkyYgIYNG9r7VYiIiIiIiIjoLsDgI5EDKa35zJw5cxAUFHRLY+7duxcAtGXXAwYMQHx8PACga9eumDJlipYFSURERERERESOhcFHIgdyq81nbqRjx44AgClTpgAAvvnmG+Tn59/2uERERERERER092PwkcjBRIdFY82ANXYJPAKATqfDW2+9halTp0Kn02ldr4mIiIiIiIiIGHwkopvKzs6GoihQFAX+/v7Fzr///vswm82wWCzo2bMnA5BEREREREREBIDBRyKHFhMfgz4r+iAmPgYAIKWEEAKKUvg/DS4uLlBVFaqqwmQyFRvn559/BgA888wziI2NRXZ2Njw8PJCZmQkAuHDhAo4ePQpFUaDT6RAdbZ+sSyIiIiIiIiKq2hh8JHJQMfExiE2MhSnDhNFdRiMiIkI7J6Us11gREREQQmDhwoVo0KABpJTw9vZGhw4dIIRAdna2Nu6oUaPw4Ycf2vVdiIiIiIiIiKhqYvCRyEFtMm3Sto3zjei9vDeklIiLi4MQolxjpaSkYMeOHQCAM2fOACjoep2cnAwpZaE/5R2biIiIiIiIiO5eDD4SOahw//Ab7pfXzbpe9+/fH0IIzJo1C2+99dZtPYuIiIiIiIiI7g4MPhI5qOiwaEQZo+Dv4Y8oY9Rtd7++WdfrlStXQkqJkSNHIiYm5raeRURERERERER3BwYfiRxYdFg01gxYU+bAoz26Xs+ZMwdmsxl79uy57fkTERERERERUdXG4CMRFet6DQBeXl7FOl+Xtev1xYsXta7XiqKgRo0aSEtLAwBMmzYNALBmzRoIIdCvX7+KfDUiIiIiIiIiqkT6yp4AEVUua9drABjdZTRkXkGn6/T0dPj6+moNZMoiIiIC58+f1/a/+OILPPfcc9Dr9ahZsyaEEBBC4NVXX8XMmTNhMBjs+zJEREREREREVKUw85HIwZXW9VpKWe7ajCkpKZBSap2vn3vuOQDAa6+9BoPBAFVVYbFYsG3bNrRs2RLOzs72exEiIiIiIiIiqnIYfCRycPbueg3cuPP12rVrceTIEdZ8JCIiIiIiInIADD4SOTh7d70Gbtz5euDAgRgzZgyXXBMRERERERE5AAYfiahQ1+uSms+U5FY7X+fk5GDmzJkQQiAjIwOrV6/GwIEDK+S9iIiIiIiIiKhyMfhIRBpr8xlThgmxibFYlbwKgH07X7u7uyMjIwNSSuj1BT2vVq5cCUVR0KRJkzvwlkRERERERER0pzD4SEQa2+YziSMSseidRZBSap2vyyMiIgJCCNStWxdAQedrVVXh7e2NRx55RLtOCKEFMf/66y/7vAgRERERERERVQkMPhKRxrbZjHG+EbP3zrZ75+sBAwYgPj4eAPDiiy/CycnJTrMnIiIiIiIioqqGwUci0lRE85kbdb4GgLy8PCiKAoPBgH//+9+3/TwiIiIiIiIiqjoYfCSiQmybz9jDjTpfv/rqq0hOToaqqnjqqacwcuRIuzyTiIiIiIiIiKoGBh+JqFQV3fk6JCQETZs2BVCQEQkAe/bssfNbEBEREREREVFlYfCRiEp0Jzpfu7q6Ii0tDQAwYcIEAEDnzp2hKIrWCZuIiIiIiIiI7l4MPhJRie5E52uz2YyaNWtCURRMmzYNALB8+XKoqorNmzfb72WIiIiIiIiIqFIw+EhEJboTna9feeUVGAwGqKqK++67D76+vujfvz8AoGvXrnZ6EyIiIiIiIiKqLAw+ElGJ7nTna5PJhKysLOj1eiiKgm7dut3284iIiIiIiIiocjH4SESlupOdr1VVxdWrV3H8+HHs2rUL27Ztw5dffmmX5xIRERERERFR5WDwkYjs6lY7X9euXRu+vr5o0qQJOnbsCE9PT6xcufJOT5+IiIiIiIiI7IjBRyIqk5j4GPRZ0Qcx8QX1HqWUxbpeA2XvfP3MM89ona89PDzw0ksv4ezZswgKCoKiKEhPT8eaNWvQvXt37Nu3r+JfkIiIiIiIiIjsTl/ZEyCiqi8mPgaxibEAgNFdRkPmSe2clLK020oUERGB8+fPAwAaNGiAM2fOwN/fH8uXL0ezZs1w9OhRCCHQokULNG/eHMuXL0fbtm3t9zJEREREREREdMcw85GIbmqTaZO2bZxvRO/lvSGlRFxcHIQQ5RorJSVF63p95swZAMCAAQMQHx+PI0eOQEoJVVVx6NAhrF69GoGBgfZ7ESIiIiIiIiK6oxh8JKKbCvcPv+F+ed2o67WVtfv1G2+8cVvPIiIiIiIiIqLKw+AjEd1UdFg0ooxR8PfwR5Qx6ra7X9+o67XViy++CIPBgKCgoNt6FhERERERERFVHgYfiahMosOisWbAGgAo1HimNLfa9dpqy5Yt6Nq1q/1egIiIiIiIiIjuOAYfiajMrI1nTBkmxCbGYlXyKgCAl5dXsc7XZe16ffHiRa3rtaIo8PDwwJ49e5Cbm4t//OMfePjhh6EoCnQ6HT766KM78p5EREREREREZB8MPhJRmdk2nkkckYhF7yyClBLp6enw9fUt11gREREQQqBu3boAgC+++AKqqsLb2xsPP/wwXFxc8Nxzz6F27dpQVRWffPIJxowZY9f3ISIiIiIiIqKKxeAjEZWZbaMZ43wjZu+dDSklpJSIibnxMuyiUlJSIKXUOl8/99xzAAo6X+fm5iIrKwupqano0qULgIIakGazGVu3brXPyxARERERERFRhavU4KMQ4r9CiAtCiASbY7WEEBuFEMf//qd3Zc6RiK6zd+MZ4Madr318fPDTTz8BACZMmAAA2L59+20/k4iIiIiIiIjujMrOfFwA4NEix94GsElKGQBg09/7RFRFWBvPlBZ4LKn+440U7XydlpYGKSWEEPjXv/6F/Px8KIqCDz74AAAwceJEKIqCadOmaWM8+OCDEEJACIEHH3zw9l+SiIiIiIiIiOyiUoOPUsqfAVwpcvhxAF/9vf0VgCfu5JyI6PZERkZi6tSphY6Vp/N1y5Yt4eTkBABo0qQJ1qxZA1VV0b9/fwDAoUOHMHbsWEyaNAkAsG/fPvz888+Ij4/H77//jp9//hn79++v2JckIiIiIiIiojKp7MzHktSTUp77ezsFQL3KnAwRlS4mPgZ9VvRBTPz1eo9z5sxBUFBQoevK0/n64MGDePbZZwEAx48fR1paGgAgLi4OiqKgRYsWmDFjBlRVxcaNG/HOO++gZs2aaNu2LVq3bo2aNWti7NixFfXKRERERERERFQO+sqewI1IKaUQQpZ0TggxAsAIoKAuHJtQOI7MzEx+7yrgf1f+h58yCuoxju4yGjKv4F9VIQQaNmwIKWWZv9OAAQOQmpoKoCDb8emnn8bnn3+OhQsXajUfAaBHjx7amDqdDosXL8bRo0fh4uKiHXdxccHRo0f5d+QuxX+/HQu/t2Ph93Ys/N6Ohd/bsfB7E1F5CSlLjO3duQkI0RjAailli7/3kwB0k1KeE0LUB7BVShl0ozGCgoJkUlJSxU+WqoStW7eiW7dulT0Nh9dnRR+YMq5nMfp7+GPNgDUAgKVLl2LQoEFQVfWWxxdCYPfu3cjJyUG3bt3g7OyMV199Veuq7eTkhPHjx+O7775DXl4e/vjjDwDAvffeC2dnZxw5cuQ23o4qC//9diz83o6F39ux8Hs7Fn5vx8Lv7ViEEPuklGGVPQ+6u1XFZdc/AHjm7+1nAPyvEudCRKUI9w+/4X5pblb/sTSurq5ITEzU9s1mMzp37gx/f39cuXK9dGxqamq5xiUiIiIiIiKiilOpy66FEN8C6AagjhDiNIBJAGYCiBNCPAfgJICIypshEZXG2u16k2mTFnjss6IPwv3D4Qc/AAWdr9PT0yGE0LIgrfUfy2L48OE4fvw4AKBnz57YsmULLBYLxo0bBwB4+OGHIYSAlFJrMnP16lVs2LABzs7OyM3Ntdv7EhEREREREVH5VXa368FSyvpSSicppa+U8ksp5WUpZbiUMkBK2UNKWbQbNhFVEdFh0dpS69jEWJgyTBjdZTQiIiIgpUR6ejp8fX3LNWZoaCiEEAAKGs5YO19PmjQJHh4e0Ov1+Ne//gVFUWA2m7XmMm3atEGbNm1Qr149RETw/2dBREREREREVBVUxWXXRHSX2WTapG0b5xvRe3lvSCkhpdRqNJbVgQMHtHullNiwYQOAggYzly9fhpQSNWvWRI8ePaDT6TBjxgwAwIYNGyClREpKCnx8fOz3ckRERERERER0yxh8JKLbdqv1H29VVlYWjEajtq/X67Fr164KfSYRERERERERlV+l1nwkouqhaP1H6z4RERERERERObYbBh+FELVudJ71GInIKjosutxBx+zsbLi5uQEAfH19YTKZynRfaZ2viYiIiIiIiKhquVnm4z4AEoAo4ZwEcK/dZ0REd72Y+BgtC9La+bok5el8batXr15YtmwZLBYLxo8fD0VR0LNnz9uZMhERERERERFVgBsGH6WUTe7URIioeoiJj0FsYiwAYHSX0ZB5EgAghEDnzp2xc+fOMo8VGhqKgwcPAgA6deoET09PpKWlYdGiRVi/fj30ej2EEJg0aZJ2j16vh8Vi0Z75zDPPYMGCBXZ6OyIiIiIiIiIqjzI3nBFCeAsh2gshulr/VOTEiOjuVFrna09PT+zatQuKUvY+VwcOHMCWLVsgpUTr1q2Rnp4OIQT27t2rdb7Oz8/Hv//9bwghoCgKJk+eDCklZs6cCUVRsHDhQiiKgl69elXE6xIRERERERHRDZQpCiCEeB7AzwDWA5jy9z8nV9y0iOhuVVrn68jISEydOvWWx42IiEBcXFyx48OHD0d6ejrMZjPGjh2rZUHWqVMHX375JVRVxY8//oh169ZpWZREREREREREdGeUtdv1GwDaAdgjpewuhAgG8F7FTctxPTFvBxLOpqNFA090vLc21iWm4FHjPXi7d0hlT42oTErrfD1nzhwsXbr0lscdN25cicfXrl2L7t27Q6fTYcaMGZg5cyY2btyI5557TrvmkUcegRACv/32G1q1anXLcyAiIiIiIiKi8ilr8DFHSpkjhIAQwllKeVQIEVShM3NAT8zbgf2n0wAA+0+naduf/fwn9vx5GVez8/Go8R4AwLrEFNR0cdKOMThJVcmtdL6+VVlZWTAajdq+Xq/Hrl27CjWgmTBhAqSUGDJkyB2ZExEREREREREVKGvw8bQQoiaA7wFsFEKkAjhZUZNyVAln00s9ZxuILKq04CSDkkTAxo0bMW3aNLz99tswGAyVPR0iIiIiIiIih1Km4KOUsv/fm5OFEFsAeAFYV2GzclAtGnhqQcbyKik4aRuUZJYkVZaY+BhtCbYf/Eq9Ljs7G25ubgAAX19fmEymMo3v6uqKxMREbd9sNqNz584AgCNHjuCRRx5B3759MWPGjNt4CyIiIiIiIiK6FWUKPgohatnsHvr7n9L+03Fs3792f4k1H2u6ON12UNKKWZJ0J8XExyA2MRYAEJsYizZn25R6rYuLC1RVLfczevXqhWXLlsFisWD8+PFQFAU9e/bElStX0KpVKxiNRqxateqW34GIiIiIiIiIbl1Zl13/BsAPQCoAAaAmgBQhxHkAL0gp91XM9BzP96/dX2jfGhCcufaIFiQECtd8LG9w8mZZkqwrSfayybRJ204ckYiEvAQAgBACnTt3xs6dO8s8VmhoqNatulOnTvD09ERaWhoWLVqE9evXQ6/XQwihdbt+6qmnYDabkZiYCEVRAAAzZszA2LFj7fV6RERERERERHQTZQ0+bgSwTEq5HgCEEA8DGAggFsAnADpUzPTI6u3eIYWCf0UDgaUFJ283KGnFjEm6FeH+4Vrmo3G+EVHGKESHRcPLywu7du2CoihlznY8cOCAtt2mTRvs378fQgjs3r0bly9fBgBYLBbUq1cPkydPhhACU6dOxfjx47F8+XI89dRTGDduHMaNG4e2bdti79699n9hIiIiIiIiIiqkrMHHjlLKF6w7UsoNQogPpJQvCiGcK2huVA6lBSetQclbzZK0xbqSVF7WjtfWmo/W/cjISPj4+GDixIm3NG5ERATeeecdREREFDo+fPhwpKenw2w2Y/z48Zg0aRLGjx+P7t274/z58/Dx8cEff/yBZs2aYf369XjkkUdu7wWJiIiIiIiI6IbKGnw8J4QYC+C7v/cHAbgghNABKH+RNrpjigYlAftkSdoqT11J220GKB1DdFi0FnS0mjNnDpYuXXrLY44bN67E42vXrkX37t2h0+kwY8YMzJw5Exs3bkTPnj21a6xZkkRERERERERU8coafBwCYBKAlX/v7wTwNAAdgIjSbqKq6WZZkhVZV9J2mxmTZG9ZWVkwGo3avl6vx65du9CzZ0/88MMPeOKJJyClRJs2bZj1SERERERERHQHlDX42BiALwqazegBdAPwoJSyFYDkCpkZ3XF3oq6kLXbipjvpscceg6qqWL9+PXr37o2tW7eiW7dulT2tCufl5YX09HQIIQrV1yzteFHW+poAsHv3bnTs2BEAULNmTaSlXf93+M0330RMTAwAoEGDBjh37hwAwMfHBxcuXAAAGAwG5Ofnw2AwIDc3167vSURERERERFVTWYOP3wAYDSABXGbtsKpKXclzV7LQP+sIA5J3oZj4GK3+ox/8Sr0uOzsbbm5uAAqCV+fPny/T+K6urkhMTNT2zWYzOnfuXOiaRx55BO7u7pg9e/ZdG3wsa+AQKFxf03qfLSmltv3kk09ixYoVAAo6kr/xxhuF6ms+/fTTOHnyJABg8ODBeOyxxzB48GC89tpr+PDDD+Hh4YF3330XAKDT6aAoCi5evAghBADgnnvuQdeuXfH999/b66cgIiIiIiKiKq6swceLUspVFToTumuVta6kPTpxW7Gu5N0nJj5G63wdmxiLNmfbQEoJIUSxIJqLi4u2v3Xr1huO26lTJwAFWXm9evXCsmXLkJeXh5o1awIoCDYOGTIE77//Pho2bIj9+/cjPT0dq1evRu3ate/KGpAlBRRLC0Ta1te03jdhwgTExcVpDXuswcGlS5diyZIl0Ol0aNWqFT788EPt+wDAuXPn4OTkhPz8fHz77bf47ruCMsDz5s0DAEydOlUbr1WrVkhKSkJ+fj4A4IEHHsD27dtx5MgR5OXlQVEUAAXf58cff6yon4qIiIiIiIgqWVmDj5OEEF8A2ARAWysnpVxRIbOiu96NlnDbK2OyLHUlF/9qwpD2/gAYkKxsm0ybtO3EEYlIyEvQ9m2z78oiNDQUBw8eLHZ80aJFWL9+PZydnQEAEyZMQH5+PmbOnInFixdr1+l0Ou2au1FJAcWydA633ieEwFNPPaUdHzRoEJYsWQJfX1/odDoAQMeOHXHo0CGoqorZs2dj9OjR2vHt27dj9+7deP/99wtlMTZr1gzJycmQUiIuLg4BAQHaOS8vL9SsWROnTp2CTqeD2WzG+vXr8eijj+LgwYNo1aqVPX4aIiIiIiIiqmLKGnyMAhAMwAnXl11LAAw+0i27E52403PMpS7hZpbknRXuH65lPhrnGxFljEJ0WDSWLl2KQYMGlWusAwcOFNq3ZubpdDpcvnwZ3t7eaN++vbYEeObMmVi/fj169uyJqVOnYsaMGWjbtm2hJdpVXWkZjmXtHG7NMi3JkiVLAFzPIrWlKIoWHJ4+fTp++OEH7dzKlSshhEDnzp2xa9cuSCm1a20Dj9bnSimRlpam7WdmZgIoCCYLIdC2bVv861//uum7EBERERER0d2jrMHHdlLKoAqdCRHKVlfy3JV01K/lafe6ksySrFjRYdEAoNV8tO5XhNK6Xj/44IOYMmUKvv/+e8yaNavCnl8RypPhWBrbpdYl0ev1MJvNEEJo2Ym2WanWrEigIFBpXTq9d+9eAECLFi2QnFy8B5mUEhaLpVCDmkmTJmnB4dzcXJw6dQrNmjXDqlWr0L17d9SqVeuuXBJPREREREREhZU1+LhLCNFcSnm4QmdDVArboGRBl+L7b1hX8ptfTiIj11KuZ5QnS9J2mwHKsosOi67QoOPNdOjQAc2aNUPfvn3vuuBjWTMcAcDT0xMZGRkAgJr1amL+v+cXW2odEx+jbVuDkv3798fSpUshpYTZbC42bnR04W/Xo0cPbNiwQavrWFojGSFEobqOUkpMnz4dANC0aVNMnz5dC0R+9tlncHV1xZUrV7TgppOTE7tjExERERER3aXKGnzsCGC/EOIvFNR8FACklJJFuqjS3KyupD2WcLOuZMUoT9frhx56CADg6+sLk8lUpvFL63o9a9YsZGVlFVp+3KBBA5w9e/YW3+TOWpW8ClJKxMTHYH/yfm276G8Y2jsUx/KP4cKKC0hLTSvWWAYARncZrW1bzy9duhR9+/bF6tWrERERgbi4uFLnIoTAhg0bCh3bsmUL+vbti2vXrhU6XlJNT4vFAiEEvLy8tMCjoijIysqCt7c3srKyoKoqVq5ciYiICG3ucXFxhYKoREREREREVLWVNfj4aIXOgqgC3GwJ9+1kSdpiXcnyKanrdWlcXFywefNmdOvWrVzPsHa9tlgsGD9+PBRFQc+ePQsFxbp27YrExMS7JvAYEx+DLae2ACgIHMq8goDeqHajUMevTqFrPSM8YfjJAKCgvqZV4ohE7T7rPwGgRo0ayMnJgZubG1avXg0AhQKPw4cPx8KFCws9wzag2KNHD/z0009IT0/Xjo0ZMwazZs0qVmdSCAEpJRo1aoQrV67g2LFjaNOmDRISEpCfn69lO1o99dRTeOaZZ/Dll1/ijz/+gJOTU1l+LiIiIiIiIqoiyhR8lFKerOiJEN0pJQUl7d3oprSMSWtQ0trh2xGDk6V1vbYGqYo2VLkR267Xts1SduzYgfXr10OvL/hPnIuLC4QQEELg3Xffxfjx4wGgyi/ttW0y02tZL+140YDipVOXAFz/DWvWqwn3Ae4AgITIgt+3yfgmMM43IiEyAS5BLshOytbGyMnJAYBiGYtWX3/9NRRFKfG7uLq64qeffgIAPP7449rxAQMGlDiWNWh58uT1/7Ny7tw5bem27TOs77Nz504IIdC3b1+sWrUKAFC/fn2cP38eUkrUrl0b58+fL1STkoiIiIiIiKoG5eaXEFV/b/cOwdYx3bXA5NYx3fH9a/fjpa73onFtV7zU9d5i2x7O5Q907D+dhhOXs7R/fvbzn/js5z+17Sfm7UC3f23BzLVHMHPtEW27Ogn3D9e2jfONmL13NqSUGDlyJKZOnVqusQ4cOKB1WH7vvfe0bD1r12spJYYMGQKz2Qyz2YyxY8di0qRJAICff/4ZQEGwS1XVKhd4BAqazDz68qOQUsLL4FXiNba/oaenJwAg7UIauvt1BwB0fqtzsXvq9KiDkC9D0GJBC3i09wAAtFjQAsLlepZiu8faadvdu3cvFni0ZiBmZWUVOm4NAHbq1AleXtfnXNLSa6uiY6emphbaT0pKAgCsXr1aCyKnpKRoHbwvX74MvV6vnbP+CQwMxA8//AAnJycIIaAoClq1YrUQIiIiIiKiO0nc6H8Q3i2CgoKk9X+cUvVX0HCmW2VPA0DxJdy3mzFZGs8a+mpVV9K25qNtA5qlS5di0KBBhYJR5f3eQgjs3r0bHTt2BAB4e3ujffv2WL9+vXZ+w4YN6Nmzp7YEuKqKiY/Bh//9EKc/PQ1hEIWWSjdq2QjGycZCv+EDTz+A88p5HP/2OOLi4rTfUggB13tckZWSVdqjbqpJkyY4ceIEhg4diq+//hojR47E3LlzAQABAQE4fvx4sXucnJy0jEZPT89Cy7JvxLoM/Ga++OILTJs2DSdOnCh0fNasWXjuuedQu3Zt7ZiUEseOHUNQUBD+/e9/47XXXivTXKhiVaX/nlPF4/d2LPzejoXf27HwezsWIcQ+KWVYZc+D7m5lrflIRCUoa13J2w1KVre6kney63VWVhaMxuvLlPV6PXbt2oWePXsCuJ6p98QTT2D58uV3ZE5lZbtE3TjfCH8Pf6wZsKbEa2PiY3C111Vk/1KwnHpV8qrCY63cpAVkAaBl95ZI2FqwJLtO7zq4J+Ie7VxCZEJBXrxNQqJer4eUElevXgUA+Pj4ACgI5jZt2lQLPtoGdK2BR6CgeVBZlRR4LClQ/Pzzz2vbAwYMwPfffw9VVTFv3jy89dZbxcawZoa+/vrrGDlyJPz8/Aot/yYiIiIiIiL7Y/CRqALcLChZUs1He3XiLqn7tu323RCcvFPWrFmD3r17Y/HixVpG3//93/9V9rRgMBi0wJ3vy77acdsl60XZBioBYNE7iwAU7nDduXNn7N69W9uPiIjAPffcg3kfz8OltZcKD1ikvKM1uGhtSDNp0iT07t0bP/74I1asWAFXV1cABRmGHh4eyMzMhKqqWLp0KSIiIgoFIq1ssyc9PDyQkZEBnU4Hi6V4Ayi9Xl/iGFZ79+7VMmZNJhN0Oh26du2KX3/9VVsavnXrVgDA4cOH0aBBA9SqVQvjxo3DjBkzSh2XiIiIiIiIbg+Dj0R3UNGgpO1xwD6duEvKkrTdrmoZk7ZLsP3gV+p12dnZcHNzAwD4+vrCZDKVaXxXV1ckJiZq+2azGZ07F9RB7N27NwBgyJAheOmll7BkyZIqEXx87LHHULduXXz66afo7tcdi7AIUcaoYtmitr+JV10v+L5/PVDZf0x/rPzXSvz444/o1augWc1nn32G5s2bQ6/XY9SoUYiJiYGUEnPnzkWnTp2g0+mwY8cOAIBbMzc0Gd+k0PNsu2WrqqoFJK33WJsFWZfPW1kDoEUzFxcsWFDsGovFgqZNm+KPP/4odG1Jgcfdu3dj+PDhOH78OE6dOqUdVxRFC2Dm5ORASglFUSClhKurK0JCQmAymSClhNlshqIoVbLhEBERERERUXXA4CNRFVKZnbhLypis6IBkTHwMYhNjAQCxibFoc7ZNqde6uLiUuQu2rV69emHZsmWwWCwYP348FEVBz549sX//fjRs2BA+Pj7Ys2cPMjIy8Mgjj9zyu9hT57c744vPvwAA9GvWD1+Lr0tcpl70N4mJj8GiQ4twGqexYtYKiH+JQtcHBATAYDBoQTgAmDZtGgBg+/bteOyxx7Rro96JwlZsLXS/cb4RHk4e2D10N17772tIS0nD8XeOY/grw6E36GHOMyMmPkYLIlsDfkBB4NEalLQec3d31+pA2mY7Fg08lmbUqFH4+uuv0aFDB9SvXx9CCJw9e1b7TbZs2VLsnuzsbC3QWb9+ffz444+QUiIvLw+KokAIUWLmJREREREREd0aNpyhuw4LHBewR5bkzbT29Spxebj12O0GJ/us6ANTRkEGo21WnZUQAps3by7T9w4NDcXBgweLHd+xYwcee+wxXLlyBUBBwM62/qBtLUHbDL0BAwbc0RqQXl5eWiCuxYIWuLTxElK+SSl0TefOnbFz585i98bEx2DyU5ORcSJDO2btBF1UvXr1cP78+WLHu3btisOHD+PSJZvl1wLwf8ofZk8zvDp5QafT4cIPF3BhxQWEfBmCjPgMnP70dLGx3Ou7I/NcJmbvnY39G/dj0TuLMHjVYBzZegT7Z+8v1gynNC4uLggPD8fq1asLbZfko48+wtWrVzF58uRC7+ju7o7MzEw4OztDSqllNx48eBCtW7fWsjV1Oh3MZnOpc6GKwf+eOxZ+b8fC7+1Y+L0dC7+3Y2HDGbIHZj4S3aXKmiVp77qSVvZYwh3uH65lPhrnG7WlxW+88QZ8fHwwceLEMs/1wIED2vaMGTPQrFkzREREQKfT4fLlywCAoUOHYunSpTCbzRg/fjxmzZpVLMtt3759CAsLw4cffljmZ9tDZGQkfHx8MGHChELHey/vXWqTGeB69qhLmAsyT2dCmgsHUr/88ks888wz0Ol0mD17NkaPHg0pJR566CFs2bIF8fHx0Ol0aNOmjbaE28rTwxMnl5xE3UZ1ceSLIwUHBVD7kdo4+vLRQsFil3td0HRiUySOSETmuUwAwKh2o7Tz3/b7Fk71nAAU1Jq0nSNQ0Azmiy++0M4BBVmK1mBjdnY2Nm0qXNfS1j/+8Q9t2xp41Ov1yMwsmIs16CiEKNSdu+j/A+7gwYPo0KGD1vTmrbfewvvvv1/qc4mIiIiIiOjGGHwkqkZKa3Rju23PjMnSlnCXNShpXUpsrflo3Z8zZw6WLl16S3MCgHHjxpV4fO3atejevTt0Oh1mzJiBmTNnYuPGjVrnawB45ZVX4OrqCn9//1t+fllZsx2t2XePT3682DUlNZnJzMyEh4dHoWNNxjdB3S/qIiEyAW3btsVvv/0GKSWee+45XLp0CW+99RYuXLgAoPBy6IsXL+LRRx9FzZo1odfrkZWVVWx5+4WTBffZLpOvP7h+ie9knG8s8XjiiETkn79et9GlmQuajm+KNmfb4Ot/fo20tDTtm1szI19//XUtCC2EKHPH7Bo1aiAnJ6fUTEZr4NGWxWIpMQtz1qxZmDVrVpmea6XX62E2myGEQIsWLUrMyCUiIiIiInIUDD4SOZjKrCtpDUoWXrodXWI9w4qQlZUFo/F6cEyv12PXrl2Fgo+//fYbBg4cWGFzsA042gbX3v75bfx24TftOoPeAADFfps2bdpg//79AICXXnoJ1/yvYdE7i3Bu0TnknCzI1tu3b5/WSbpbt24YO3Ysxo4dq43x66+/okePHkhLS8PZs2cBAN7e3lpwsjRFg8UlbXsZvHDo8qFi95YUlEwckYiEvAQA1zMSbdkGoV988UV8+umnAAA3Nze8/fbbxbJEDQYD8vLy4OzsrGUu2rIGBW+mZs2ayMjIgMViwZNPPolly5YBKLxkv0mTJvjrr7/w8MMP49tvv0Xt2rW1+y0WC6SU2LlzJ+6//34IISCEgJ+fH06ePHnT5xMREREREVUnDD4SUakZk6UFJa0BxPIGJ4teX1qWZE0XJxzbnYA7XZJ248aNMJvN+Pzzz+06bmkBR9vg2o4zO7TrE55NAP5OPhRCaEE1oCDg+M477yAiIgJ79+7Fb58XBCxzTubg/kH3Y8eSHdDpdJg7dy6Agpo8ABAYGIjk5GSoqop27dppz5o1axaeffZZ/PXXX9oxIQR69OiBjRs3FnuX6LDCweKStm07mAPXg5JpeWmFgpNFA5JtzrbB8XeKZyUCwCeffILu3btj0KBByMrK0gKPtvUjly5dioiICKxbtw6dOnUqePamTQgPL5hH69atER8fX+L4Op0O7dq1w549e3D16lXteHx8PJydnZGbm6t9AwA4fbqg1uXJkye1bet3tv7mHTt2hF6vx/DhwxETE4NatWph3LhxmDFjRolzICIiIiIiqo4YfCSiUt1oGTdQenDyVutKGnzWQu+ViLMZRqRmegCQeHdnFibv3VLoGQ/d64XJTxXUPPb19YXJZCrTs1xdXZGYmKjtm81mdO7cWdsfNWoUvLy84OXlVeb534htE5mpU6cWCzgCwKrkVZBSonaN2jiJgqy4Fv9tgT5N+mD9G+uxf/9+5OXlYeLEiXj33Xfx+eefIza2YOnzvn37tHEefvhh/LT0JwCF6xhaG648++yzMBgMiI6ORufOnaHT6bB9+3atwUzNmjXRvn17rF+//rbf+0YBSuB6cDI1JxUZ+QVNcmyzIG3rPpbEGmgcNGiQdsy24ZA18AgUfFOrkgKP1uY0FosFe/bsKXb+xIkT2rZtfdD8/IIl5ElJSQgNDYUQQsuq7Nq1KwBgxYoVMJvNGD16NNLS0iClhKIoN3w3IiIiIiKi6ob/K4iIbtnbvUOwdUx3LUi5dUx3fP/a/Xip671oXNsVL3W9V9tu7XvjgJ7BZy0MtX+GYrgMQ+2fofMsyOjbMr4Ptr31ED77+U989vOfOHE5C//dew6Pzf0ZXd/fhFc+W4+Za4+g27+2YObaI8XG7dSpE4QQ2LNnD3r16oUtW7YgLy8Prv/P3pmHR1Flffit7nQnnR1IwhYCgqwJAgMoIiIMogg6KmpQUATmE9FxG0AEBXXEBRRRHB1cRkERVFDHDQSVXVkUFIWwryFIQgjZ1+50fX80VaneshEgIed9Hh5uV926dWvpTvWvf+ec4GAArr32Wp599lkAkpKSsNvtmEwmFEUhKirKqyBNVRg1ahTTp09HURTat2/vtX72ltmsProagIM5B2kc3BiAIRcNYUbfGSQmJrJ48WIArrvuOgA2bNjAQw89BMDGjRu58847AVcxHS1Xo9lsJjw8nNGjR+sFVyZPnsz48eP1MdavXw+4RLRt27aRlZXF888/X+1jrQrje4xn6dCl3NruVn1Z/NvxJMxPQLGW5V1UFIUnnnii3LESExNRVZXMzEz9XBk5eLAs9N+Y0/HRRx8F0KugG1m0aBE33HCD1/LAwECvZcYK6fn5+aiqSr9+/Thw4IAuonbq1ImWLVvSpEkTnnvuOf744w9sNpsejm0MiRcEQRAEQRAEQbjQEOejIAg1TkVh3L5CtwPCXI5ERXG54NTTLjh/+MsruejnZNI/eIjUQ3vd+t/34VZuveNxVqxYoYtI06ZNw26389RTT9G+fXucTidFRUXk5+cDLtfgww8/zOuvv16t8+CvcI7mdvx076f6MtcxuxyLM6+ayfre6/nhhx/0CtQ33XST3vfFF1/kpZdeAlzOvg8//JD/+7//09fb7XYURdEdkoAudAH069ePlStXYrVaycnJoVu3bvTp04fu3btX6ziri+aI/GDnB5SqLpHXMxQ7fGc4+17cx+wts9m2fxuqqjL8m+Hs2rwLVVW56/m7WPD4Au5feD+JfV1iX7NmzfRclprz1JNZs2YBuBXXadGiBUePHmXp0qV89dVXXgVooqOj9RBrDYvFgsVi0e8ZgLVr13LxxRcDLvfjzTffzLx58xg7diyvvvoq06ZNo1u3bmzYsIFTp055jSkIgiAIgiAIgnAhIc5HQRDOGUZ3pKdLMiGyD4oCqBD/Vjzd33iYG/+9nqi/Vc0VllPkIDBxNi0f+0b/B3A8u4h3fjrClf/6koCgUKLb92RdWH8irhyJ0+kkMjKSSZMmoaoqp06dIj09HcCtQE1liIiIQFEUv+G1RrejFnIMLtHt5V9epnPnzoDLnXjRRRfp4lhsbCzgcnKazWZ9uzvuuAMoCwMGV2GVkpISAgJcvy8FBwfjdDopLS2lc+fO/Pbbb/zvf//Dbrfz+++/o6qq7oQ814zvMZ6RnUb6XJc0NokNL24AYELPCXw852MAtmds52SBK1xcO5cLDy6k9yRXCP2ELydw1/N3eY3nWSEc3EOpe/Xq5Rpr4UKfla+vvPJKvW2z2QCXkKsVm+nY0T0tQWxsLDfffDMAo0ePJjY2ljlz5pCXl6ef74YNG3LJJZf4PH5BEARBEARBEIQLAXE+CoJwXilzSfZn9paGeqESzRV3ze/L+B4Y17c1UDOVuB0lRRSFNeNwRgFvrjuIYjJzz4sLGffPxwh5+11d6GvevDn33XdflcYfNWqUXlDGSEVuxx2jdjABV87JxYsXk5iYyBdffKH3bd++PVu3bmXjxo288cYbfPjhh1x77bU+nX1msxmHw6HnICwoKCA5OZnmzZvz+++/A3DLLbdwzz331Arhy1hFWylSOGJ35b40uiCTxiZhT3MJrDtGlbliU+ameC2b0LMsz6MR47lSfVQz8uVSNfLRRx/pba3q9Xfffacv27XLPew/JSVFFzFjYmLcqok3aNCA3FyX+GwM3U5ISGD7du9q4YIgCIIgCIIgCHUVER8FQag1eBYqAejd3MoPiqKHbvurxL1w8xFyi6uXn1EFsgpKeOmNd8jLyabpPW8DcOy/99L8ylt4cMqzbDqYwY4/c0hoFs4XD/Rx295YzVorhgIul+OCzQtQVVV36G0avUkXHLX/jSxfvlx34D3wwAP8+qsr9+WiRYsAuOuuu9i/fz/gLqaFhIToob8lJSWYTCZMJhMOh4O4uDhatmyJoiiEhIRw6NAhoqOjq3WuzhbatV+zZg2/hv6qV8j2Vxm7OhjFXoDevXvz008/6cVrjJXIjeHYGsaiNgDh4eFkZ7tEcE+nZGhoqJ4DEuDEiROEhITw6KOP8vTTT/Pggw/y3HPPER0djc1mY8+ePQQHB/P000+f8XEKgiAIgiAIgiDUJiTsWhCEOsnkwR359oFePH59PI9fH0/2vLE+C91ojsmmEUF60RvFEoj9pKFCtrMUa2wncjYtwRzWCGvDZlgbNsMcHsOJnZt5c91Bl2PSqbItJZtWk5fqORQVRSHhqr8x8K6HUFWVGct26S7HeUnz9PBgzaGnlqiEtg3FZCn7+L3pppv0YikDBw7UhaytW7e6VW4GdOHRE2POwbfeeov9+/fjcDho0KABR44cQVVVnE4neXl5tU549EQrSLPo+kWMjh9NXFgco+NH6+3OjTr7XFYR8W/HM/izwaiqiqqq/PTTT27r58yZoxcGMobPa/8yMzP1bVVV1YVHjY0bN+piY3Fxsd5u164d4ArR1kK3X3jhBUwmExkZGaSlpfGPf/wDgNtuuw2TyURISAipqalncBYFQRAEQRAEQRBqB7XW+agoymEgFygFHKqq9ji/MxIE4Vwxe8tsPfy6PGw2m5dDzVehmynA3Du706tXL2Ys28XsFZdxcvs6WkQGkrryfVAUgi/qRm5EDEVHfqe0pBBKSynNPYmtrbv4pxEQ3QpzcDjFR/7gWKfbyd/lyuH33q7XKTztcvR02tkuttFmahtGx49mxRMr6NSpE6+++iqDBw/mtttuA1x5Ap9++mluv/12zGYzGzZscNvvfffdx9y5c73mo6oq69at46qrrmLs2LEoikJgYCCrVq0q9xzWdjzdsJ7OWOMyz/vG0z0J6OuMfVvQwmtMY/i8LxdkRVx22WX89NNPqKqqF79ZtmwZS5cuBWDcuHH85z//oXHjxiiKood0Hz16lObNmxMcHExiYiLr1q2r8r4FQRAEQRAEQRBqE7VWfDxNf1VVT57vSQiCcO6YvWU285JcVZonXjFRF+8URdHDZCuLMUz28ssv18NkH732O2JiYvhxistlOOCO+3E0CmbMS+/wwt39SHnFJQSagiOIuWmyz7Gbj3mdjB/epviIa3xzuCs82hL5MwWn+3R6qyxUOLC0JQ4KuNjcgwmXTgQVNv/mndtv3rx59OrVi9tvv52nnnqKJ598ElVV6dixI4cOHWLu3LlMnjyZGTNmEBsby4033sg777wDQN++fWnZsiU2m80r/2B9wJ9QaRQax/cYX+491rZtW8C9UrlnWL0RX/cYwEsvvcTo0aPZvXs3eXl5gEsg1ipqz507VxeRFUXRXZKrVq3i5ptvpqioiPXr1+tz2rvXvXq7IAiCIAiCIAhCXaG2i4+CINQzViav1Nvxb8cTHRDNqhGriIiIYMOGDZhMpko70bTiKgDdunVj27ZtKIrCxo0bycjIAFzVjhs3bkzGojdYpyg888wzTJ069bTglM2RmdcDCjEdL8X2t2k+92ONXoYjxyX2KeYifXnSaFcRlNgHhmIOGQPA0o+egNNCU/bJNABeXL6HjOau7Y1h1s888wwA999/P7t379aXz5gxA3C55O666y69YvOhQ4c4evQod955Z6XOT33BU5T0vMfCLGE0CGrgckEeasGwYcPctje6ILUq5rGxsSQnJ7vdYxpa2PyuXbtQFIWwsDCsVisZGRluodqKotC3b1+ioqL47LPPABg5sqzy98KFCxk0aBBRUVG8/vrrPPDAAzVwNgRBEARBEARBEM4ttTnnowp8pyjKVkVRxp7vyQiCcG7wDLXuYusCuASg6dOnV3vcxMREPa+ikZEjR5KTk4PD4eCxxx7jqaeeAtDDYRVF4eDBA5zc8wvf3t2arrERBJgUusZG0DjmOACh0VvRyo3svDeJY6fzO2oUnejBkZk3cGTmDRQf30uTUXNo+dg3BHfsC0BGXjFv/JAEgBIcqW/ncDhAMTF37lwCrIGnl5YVNlEUhQ8//JDS0lIURaFNmzZcdNFFvP/++9U+T/UBz3ss155Lcm4y85Lm8fX+r736G3NBOp1OnE4nycnJXv38MW7cOF101ITiqVOnsmHDBtauXcuXX36pC5Y//vgjDz/8MADvvvsuDRs2pE2bNsyZM6fqByoIgiAIgiAIglALqM3Oxz6qqh5TFCUG+F5RlN2qqurJr04LkmMBoqOjWbNmzXmapnCuycvLk+t9AfMX/sLRsKP8Xvg7XWxdGGAdwJo1a7j55ptZs2YNqqpW6/obHYW//vorRUUuh+JXX31Fly5dWL9+Pddeey0zZsxg1qxZFBUV6WHaR44cISgoiNGjRxP1UBQhYUc5oYRwyuEq/mJXy4q9xL8dT3N7P9L2Xs62l0YAcHLxE7R8zFvUCr/0Zgp2uo4le8PHAMQMnUr2hk8oOvgLmALA6SDs0qE07D/Gbdvkl/4GmOjUZxC7flpOjye/pHuMmcQOgXX6/XEu3t/GeyyvNI9CtRBw5ejcUeJyqyqKQvPmzfX7LSkpCVVVdZFw2bJlDBkyBHD9Dfrkk0/4+9//zsGDBwHX/RYcHAxAq1ataNq0KUePHtULAzVt2pSioiJsNhuFhYX63Pr0Kauk/ssvvxASEkJBgSuQvy5fV3/I53n9Qq53/UKud/1Crnf9Qq63IAhVRdHyTNVmFEV5GshTVXWWr/Xt27dX9+zZc24nJZw31qxZQ79+/c73NIRzhPF6L1myhGHDhlWrAIiGFnbdq1cvAAIDA/nHP/7B7NmzAbBYLEydOpUjR44wb948FEXBZrPpAlDC/AR9rGMLj5H5fSaKVXErLGPMTanl7Nu3bx8A981aRFzHrixPSmX9E9fhtBdXZta4zODQ8rFvKPpzL2kLxmMKiyL44kvJ+/07Wj76BQDhQQEMvzQOgOVJqQyKb+JWhKe2c67f38b8j550+7MbHz7xIU6nkyVLlpCYmMj06dOrVITGeL8pisINN9zA119/zQ8//EDbtm1p1aoV7du3Z+/evaiqypAhQ1i6dCmqqtKlSxeuuuoqvvrqKw4fPkxd+HtdVeTzvH4h17t+Ide7fiHXu34h17t+oSjKVikALJwptdL5qChKCGBSVTX3dPsa4JnzPC1BEOoR7733HkuXLuXEiRMUFhYSEBDgCoM+zY5RO/S2WqJitVkpLvAtJA4YMIDnnnuOxMRERl5xEb16deSJGxIqLWC1fOxr0pb8i6KDv5zOQQkoJlrcPx+ARtfcr/fNKXLw5rqD+us31x1k08EMsgrtDIpvArhEyUibRV9Wl8TJmkbLBbkyeSWZRZnk2nMBbxdk27ZtURRFD782FqHJz88nJCQEKMsF6a8QzeOPP87XX3/N1Vdfrc9h//79/PWvf2Xv3r188803+vI//viD33//nQYNGgAuYdzhcKAoCgkJCfr4giAIgiAIgiAItZnamvOxMfCjoii/Az8DS1VVXX6e5yQIwnngy1NfMuTzIczeMrvcfoWFhZhMJkwmE3FxcZUePzg4mKSkJP21w+Ggd+/eALz++ut6hWMt3HbHqB1uwiNAZONIv8IjwN13381tt7kqaF911VX6mHfddReqqqKqKlar1X2jACshkY0AODLzelcYNqCYLdz47/W0nPRVpY9xW0o2hzMKeHPdQd5cd5DDGQVuy256/Uf6vbSaGct2MWPZLr1dXxjfYzxLhy7l1na36svi347njq/vYPBng3n5l5d57rnn3LYx5iC12WxeuSB///13/dqqqupWaAZceSC1HKQOh4O3336b9evXA7BunSvDyGWXXYbZbCYzMxOAp556ClVV2b17N9u3b+f1118/C2dDEARBEARBEAShZqmV4qOqqgdVVe1y+l+8qqrPVbyVIAgXGrO3zOaH3B+8ioFERESgKIpeeRh8C0D+GDlypF5MpmfPnqxevZrS0lIGDRoEwDXXXENMqxg9VPrll1/GbreXDXDaM64JS5mpmZU+ppYtW+rtK6+8Um9r4ubHH39MixYtwFFC4s1/A1zOSVVVWb58OWqpHcvaOYzr25pWjYIZ17c14/q2JizQXOk5eOJLnDSKkkZx8kJmfI/xjI4fTVxYHJ0bdWZ7xnaSc5OZeMVEEhMTUVVV/99YhMbX/WikS5cu+vXVco8aBWmA1q1b07JlS8xmM1deeSXDhw9n06ZNeoEagGnTprF161bdRfnggw9iMpnc7ilBEARBEARBEITaRq0UHwVBEMAVCquRNDaJBY8vQFVVcnJyiI2NrdJYRgFo3759BAUFAS43WVhYGAEBAaxYsQJbOxsBDQJIP5LOE088gaqqTJw4UR8nIyMDHD534Xd/l19+OREREQAcO3ZM7zN27FjMZjP3338/xcXFXHPNNdx+++0cPXoUgOuuuw5FUfjhhx8AuPbaawGXq27y4I6sebQ/kwd3ZPLgjmz/1yAvQbJVo2C6xkZU6TwZ0UTJ+uSS1FyQ2SVlTsX4t+Pp8n4XXv7lZRYvXqxfVw2jC9KX+9bTBemJ0QXZrVs3AF544QUAtmzZoq8LCAige/fueoL3nTt3kpmZSUpKClOmTKmhMyAIgiAIgiAIglCz1Mqcj4IgCAAD4gboxUDi345ndPxoPUefVnymsvz+++9eyxRFwWw2uwRFYMjnQ0jOTWb3hN0ENg3kL7P+QoOgBhR+UcjahWtRVZWGDRsSHh5OTk6OPk5hYaFXzj9/+1u5cqVefOTtt98mJyeHiRMn8t///pe///3vgKsITklJidf2//znPwH04jieaEKk8TXAjGW79OIz4J7zMdJmYVtKts/xfKH1rUxeSc92Xcotabz3AErVUuYlzaPbn928+s6ZM4clS5YAEBYWRk5ODikpKZXe1913301oaCgAJ0+e1MVNs9lM9+7d9QraDocDk8mkC5gFBQVkZ2ejqqq+zmKxUFxcmSJGgiAIgiAIgiAI5wYRHwVBqLWM7zGeo8lH2cteBsQN0IXHs8XKkSspzncJN+amZnLtueTaczn8x2FMASZK7a4Q2NDQUDfxUQv57tatG9u2bfOqqP3WW29x//2uojDDhg3jyJEjAPz222/MnTsXgHvuuYdXX30VVVUpKSlh3jz3CsyrVq3i1VdfpXHjxlx//fVVOi5/oqSGP3GyJkRJY3vRz8l1phK3dq99sPMDSlXXdfdVhMaTUaNGER0dzZNPPqmHYVdUhAbQ749Bgwbx17/+lcTERLp160ZISIheaV0jLCyMwsJCevbsiaqqNG3alG+//RabzeZWFEkQBEEQBEEQBKE2IOKjIAi1mhsb3ki/fv3Oyb7u/fu97LXvZfnc5W6htXl/5MHpaFlFUQgI8P3RmZiYyEMPPcSYMWO4/PLLMZlMlJaW8tJLL+mVrZOTk/UQ7LfeeksfE2DHDpewdffdd/OPf/xDF5209VarldTU1Bo+6oodk9V1SXpSXiVubR+dwko4R5e7QjQB0ui+7dyoM9kl2QyIG0CLQy283LeaC1JzJyqK4laExhPt2q5btw5FUdxckFu2bAFchWd+++03rFYrBQUF5Obmum17/Phx0tLS9HvMZDKhKIpbvkhBEARBEARBEITzheR8FAShTuOr2EdVKl8bi8/ccccdjOk/BoCAwgB2jHZVtjYFm8AMCfMTSJifoLvLPAuMTJkyhdGjRwOwceNGXfzZv38/qqrSsmVLOnTooFc+7tSpE+Hh4TidTiZNmgS4Qq7nz59Pfn4+qqrqIbSKopzzcFotr+QXD/TR/z/beSWXHXbUqrySlSlCoygKTzzxhNe2Wh5IX/ejv5ygUOaCfPbZZwHYunUrTZo0IS8vTxcYAVq0aKEL4Q0bNgRcodpOp1OER0EQBEEQzjraM7RnPuyqov1wqhEYGOg2tpZ/XcuHrv2Lioo6o/0KgnDuEPFREIQ6w+wtsxny+RBmbynLeWgs9qFRlcrXhw8f9rm8QWgDrh5zNYENAwkIC4BSyNqcxY5RO/Q+qqrqD0uKorBp0yZ93f/+9z/MZjOKotCxY5mrcPfu3W5Ox5ycHL799ltmzpwJQHFxsdtDnBa6rYlciqLQqlWrCs7U2cOz0E15omR1K3FXpfr2uRAn/RWhuXzh5Qz+bDAv//Iyzz33nNs2iqLo1bB93Y+eRWg0QRpcLkhwVTkHV67HNWvWoKoqgwYNwmKx8Pvvv3Py5EndJan1FQRBEARBOFdccsklZ/wM0q9fP6+CfG3btmXDhg2oqkpwcDAvv/wyAI0bN2bMmDGoqsqzzz5LRkaGnndbEITajYRdC4JQJ5i9ZbYe/jrxiomoJa6HlNdee81n7r3yMObes9vtWK1WSkpK2LJlCw8++CAAR48e5ei7R2natCn55nxsvWykzHUVEQlpEsK81+YxbNgwnnvuOS6++GISExPd9tGqVSumTp3Ku+++67Y8NjaWlJQUUlJSaN68OSaTicGDB2M2mwkPD8dsNpOenq73//XXX6t0bOeL8vJKTh7csUbzSmpUtuhNTeWV9CxCo+UENd6PvnJBRkREkJOTg6Io5OfnexUnKi8XpEbr1q0BV8Xriy66iC5dugDoofmffPIJAKWlpSiKQnx8PAcOHKCoqAiASZMm6QK3IAiCIAhCTfD777/zz3/+k5UrV1Zr+1OnTrF27VpeeOEFpkyZoi/XUhEB9OnTh++++w6A+fPn68ufeOIJpk6dyvLly7ntttuqdwCCIJwzxPkoCEKdYGVy2UNN/NvxDP5ssO4a83SdVYSn62zY0668fXtC9rB48WIURdHXWa1WmoU2Y/ATg0l4JwEUKEgr4L777gNcoda+Hni6devGv/71L7/5IVNTU8nLy8NisTB69GgcDgfBwcEVhonXVSpyTHaNjaBVo2Bah1U/bKcix+SZuiONIdhhljB9eUUuSKM7t6ouSIBx48axePFiwOWCXLFiBYMGDcJqterbJCYmoigKVquVtWvXkpSURGRkJKqqkpGRwYgRI87o2AVBEARBEGqaZs2aERgYyOTJk/32+e6773w+T/fp0wdw5dsWBKH2I85HQRDqBJ6uswFxNRNmOnvLbFYfXQ3A0oNLyQ727cRbdP0iV+P/XP8tWbLEq9hIZQgNDaVz58706NEDcOW0ee+99/jf//7HsWPHWLZsWdUPog7j6Zhcs2YNmwoan7FL0ohnJW5/TszKOCbH9xjP+B7j3Zy44NsFqblhtSI0RgoLC70ckICXCxJcBYi08Hur1cpFF13E6tWr6du3rz7eN998Q3R0NFlZWXr+x7Awl0DasGFDfZkgCIIgCEJt4LnnnqO4uJjjx4/77dOgQQPAu2jfjBkz+Omnn+jVq5eegkYQhNqNiI+CINQJtMrDK5NXMiBugP7aiDG8VSvM4U/k0foCxN4XC8ChZw9xiEOAK3y2d+/egCskRCvk0aFDB3bt2sWkSZP0PIwaffr00Qt9XH755SiKQlxcHHl5eT4TcXfs2JFdu3bpuRzvueceLrnkkjM/WXWcylbfro44uTzJVS1cEyI9Q7eNbc9K3EZB0ng/ZhZlkmt3VaCOfzses2JmZKeRPqth+7pHjXg+XHveNy1bttSXae7b5ORkCgoKKCgoQFEUOnfuDLgKHWl9tf9VVSUhIYHt27dXeK4EQRAEQRDOhFOnTtGoUSPAVVTGWBDv7bffBqBp06b6Mi36CKB9+/ZkZWXx2muv0alTJ73PN998w5QpU4iJiWHjxo3n4jAEQagBRHwUBKHOoLnOwOVY1ITIFrQAXOGt0dHRPPnkk/o2WpirJ1rfadOm6csi+0VywzU3sODxBWzcuJFevXrRokULTpw4AbhXt+7Vq5derGbjxo1cfvnllJaWMnz4cC6++GLeffddwsLCKCwsJDQ0VH+Quv7661m3bh25ublMnz6df//73/zxxx+cOnWqZk/WBYinKGlcDlQqr+Sg+Ca6AFkRvnJMuueVvI78A92IbbmSXfYv9X6laqnfPJC+7lFf+MsDOWDAAMxmM7t376ZZs2YA3HvvvQQEBHhVuJ4yZQrPPfcc0dHR2Gw29uzZQ3BwME8//XSljl8QBEEQBMEXs/6cxSMfPEKnhp1oTGO//Ro2bOhVTEbjyJEjbq+NwuO1117L3r17GTNmjJ6PHVw/rN5www0EBgaSlpZWA0ciCMK5QvH3YVCXaN++vbpnz57zPQ3hHLFmzRr69et3vqchnCN8XW9jyGvS2CRd5AFXdbx9+/YBeLnLjK6zWT/PYsHHC9j28ja3scPDw3VHpCcmk8mnkNmkSRNSU8sELavVStOmTbHZbGRnZ5Oamqo/TPXq1Uuviu1wOIiMjKRNmzZs27bNa9z6yNl4fxtFSS3k2uhyrAliW68k27ISFCecNivGhcWxdOhSoCxM3+l06u2wsDD9ftTHMbhzPVEURRfFNUFTu9d79OjBL7/8ArjuU6MrV1VVzGYzI0eOZN68efpym83GgQMHaNKkSY2ei6ogn+f1C7ne9Qu53vULud71h+HfDGd7hiuCYseoHW7rQkNDyc3Nrda4RvHRV8SQqqo0aNCArKwst+WDBg3i22+/rdY+hcqhKMpWVVV7nO95CHUbKTgjCEKdozLFZ7QCH0a0wh+qqjIvaR4nC0569UlISADg2WefBVyuRm3soKAgPYQ7Li5Of0AyCo8ahYWF7N69m+PHj+v9NmzYwFtvvaX3sVgsqKrK999/X63zIFQOY7Eb7bVW6GZc39Y+211jI6q0j5SDAyg+1QcVUFXXv9RMhS7v/pXExVP54tcUVFVlxrJdejvhqr/p96lnEZrKMGDAAF566SUAvUJkcnKyfr+99dZbejGkqKgoPvroI8BVyd3pdOqFagRBEARBECrLzlM79XbC/AS6vN9Ff1aurvAIuDkkjYX4tH8AmZmZXstFeBSEuoGEXQuCUOeoqPiMoii0b98e8M6x51n4A2DwZ4N1h5q2/YABA5g6dSojR47U3WWNGzemQYMG7N69m5ycHMxmM+ASIidOnMhDDz1EUFAQRUVFeqg2uByOWl8tvHr16tXiEDiP+MsraWx75pisKK9kSfpgAALCklAdNoqDXeFEn971vO7OnTKkE+ZIV7j0sU638+XBraiqisUWgqOoAFBQVXd3rb8Q7LvvvptJkya55jx5MrfccgsAZrOZ5557jnHjxulO3RMnTugP7qtWreLmm2+msLCQ9evXYzKZiI+PlzyQgiAIgiBUSKeGnXTno/ZaEAShIsT5KAhCnWN8j/GMjh9NXFgco+NH+yw+o6G5HcHlRtScXrvH79b7+KqcXVhYCMC+ffv0RNlGLBYLU6dO1V9PmjQJRVEoKSkBXKHY0dHRmEwmGjRogMlkIiIighEjRhAQECDCYx1Ac0x+8UAf/f+KXJIl6YMpOPgoSoDr/lEU6PRWPB3/252Ob11F21n306DvXXr/wxkFAATFDyDiyjsBFUUxoSgmbA0b0/PZ78m+7nl6TP9O/4U/O7tMAF23bh3gckEuXrwYgG7duvHYY49x6JCreNKWLVsYOnSovs3IkSP1SthHjhwhJyeH3bt388EHH5yFsygIgiAIwoXEousX0dLSErNipnOjziy6ftH5npIgCHUAcT4KglAnqaj4jMacOXN0t+PcpLnE3hdLytwUOszuQNHWIn0sT2w2G4Bbjj3P9ddccw3PPPMM6enpBAYGUlRUREBAgO42U1UVp9PJgw8+qBf+WLFiBVdccUXNngzhnFHZStwO/kIW36NFEJnMxWAuxtpoHebwpl7jNrr6XvJ3rT/9yrVR47HvkZ7nErPT80roOPVbGkcEEWmzAPDBT4dYc8olfCoX96VjR9dctmzZgqIoXHbZZVitVrp3787XX3/ttr/IyEiysrIYPXo0DocDh8PB3XffzbvvvsvatWtr5mQJgiAIgnBBMrHZRPkhXRCEKiHioyAIdRpj8RljhWFfueyMuSKNCbIVRaF3795kZ2eTlJQEuMJbNVatWgVAWlqaXlnv2LFj9OnTB3C5JDWnpN1uB9zzQN55552Aq9L1/PnzmTt37pkcslAL8a7E3Z/ExVPZk7sBs6UAu5oPaAWSXPfekZnX6yHYRiKuvJPs9R9SWlJIyiuu+9gcFkXs/fPY8NLfsae7HI1zJw5HsQYD8Pm2P/nkPzMAGHjnQ3z/4Wts/vkXLu5yGYcOHdIduSEhIaxYsUK/dzdu3Kjfu+Hh4axbt45t27bRtWvXmj1BgiAIgiAIgiDUW0R8FAShTuNZfMasmBnZaSQtDrVg2LBhAHy9/2tUVSXCWhYemzA/ocKQbc3t+Ne//hVwd0E2b96cI0eO0KpVK2w2G7t27aJVq1ZkZ2eTm5uLw+Fg3bp1XHXVVTzwwAOsXLmS1atX07hxY72ojXBhszjRVbTIKJDHvx1P50adyS7JZkDcALZ+prBoxni6xkaw92ggJwFLg+YApLxymz5W7P2u7ZuN+bfXfo7MvB6AsNue59TM6/mDONcK1cn+bRtp3bo1rhLcKvn5+Tz0zGx9W014bNCggZ6XtFu3bq7NDYnfBUEQBEEQBEEQqouIj4Ig1Gk8i8+UqqVuDkhFUbA0doWpfnzLx/ryHaN28Fnvz7jvh/v0CtaxsbEkJyf7LfBxyy238OeffwKuqsKKotC0aVNKS0u9wrJ37dpF3759iYyMZNWqVZhMJqxWK5s2bTqLZ0OojWgC98rklURYI/Qk7cb79MsHr6Rt27YoikKrRsGcBMKatUENDCfv0G9YncXse+lWoMwF+ed7D+ouyLQPJ+ouSCOh3f9G3tav0EK5AX797nMATNYgAgODKMzNIrPQQbPmTTFnZgJQWlp6Vs6FIAiCIAiCIAj1DxEfBUGo02jCzgc7P6BUdQkm8W/Hu/XJ2pxFytwU4t+OJy4szq2yNaDnaNT4/fffvfajKAqfffYZvXr1cluuOR81l9ihQ4ew2+20a9eOQ4cOkZOTw8iRI3n//ffP7ECFOo2Wo3TI50P0ZfFvxxNmCaNBUANXvtLTbt1J13Vk2HyFnGP7+ec//8mrr/7Gvpdu0be7/vnPySq0M26+6z7Wck1uS8nWXZAAje+cRVDzDqfFR29sff9O/g+nUwAU5fLngZ2utsnlgHQT1BUzL3yz3SO0XBAEQRAEQRAEoWJEfBQEoc6jCZBGB6SGK8demdsxt3MuDPXq5hdfLsjs7GxWrVrFgAFlVbIVRWHnzp389ttveo5HgNatW4vwKOh4OnVz7bnk2nMrzFfasGFDIiIiOHToEF891BeAg6edupMHd6RLly4cOX2fpn04EYCmEUG0jI3giDZIaBTknSSobW+K9m0g/4c39PFDulwLFhv5W74Ap0vEtzTvSLM7XyLtm5cpSlrNCy++xKaDY8gqtDMovgngEj4HxTcRUVIQBEEQBEEQBL+I+CgIwgWBv9BWzxx75eV49IUvFyS48kD6yonXsWNHhg8fXsXZC/UF432aWZRJrj0X8J+vVCMjI4PBgwdz6NAhwsLCyMnJ4ejRoyiKgqIohIWFAejtnJwctr3xAAdPpwwAsFnMFAJF+zZ4zSt/53qwF7gtsx/b5eakzFk7jy/XuoRTYz3stcAUQDGZUZ3GcG1XnsmhQ4fy2WefVek8CYIgCIIgCIJw4SDioyAIFwxaaCu4inysTF5ZLcFREM4m2n1qLEQDvvOVNm7c2Gv7UaNGER0dzbRp0wBXYZicnBymT5/OtGnTyMnJ0ftqBWUA7LkZetsUYMHpsNP+sr+yZ/MqL+FRxxwApQ5X22IDe6Hb6tiHFlGSkcKJhZMIbNeHxjc+SsmpP8EcgFqQQ+oHj5DS/jZuev1Hn47JXt5pKgVBEARBEARBuMAQ8VEQhAsSoxApCLURf/lKLYoFJ046NexE45WNefXVV922mzNnDkuWLEFRFD755BOGDRuG0+nUl2ntYcOGUVJSoudutNvteltRXXlO9/2yBoB//vOfzJ07l6KiIvdJGsy95gATpfbTLxQTqE5KzRZyf18BQNT1DwNgbdgMgONfzkAJCCTNGUZaSjYAb647qI/35rqDfBAAIwt2ARLCLQiCIAiCIAgXKiI+CoIgCMJ5wle+UrvqUvg+uuEjfZkWXu2PY8eO6bkiFUVh8eLFqKrqto3W7tOnDz/++CNQVmwpMTGRcePG0b59e/eBnQ69WVqYX7b8tHh5/JXb9EUprwyDUgem4Aia3fsOJan7sbW/otzjL3B4C5KbDmZIXklBEARBEARBuIAQ8VEQBEEQziPGPJBHc4+inrYbJsxP0PtEBUZh+8DGt99+63OM5s2bs3jx4nJdkFouyB9//NFLmAQYOHAgAE2aNCErK8vbBWnAYrFgt9vZvn07AwcOJDU1Fc0W6SzIIv2D8aA6KU7erueNNNnCafaPBZjN5nLPxzY/LklNlIy0WXRxUgRJQRAEQRAEQaj9iPgoCIIgCOcZLU3A8G+G68WSjKy5Y43e1kOnFYWv93+NqqrM3jKbbfu3oaoqM9bPYEriFLe+gFsuSG25JiJefvnl+rr09HRKS42FY7yx211CY69evbBYLABcfPHFzJ8/nz59+lCccRSr1Yq9KIc+zy4l0mbhm4nXErvrY268fxoLNx8ht7j8fXiiiZIab647yPsbDlPocBIdauWWv8TqLkkQx6QgCIIgnG8iIiLIycnRfxCtLlFRUWRkZOjFHhMSEkhKSkJRFMxmMx9//DG33HILAE2bNiUtLQ1VVWnUqBFpaWkV/vApCMLZx3S+JyAIgiAIgotF1y+ic6POmBX3h+SE+QkkzE9g8GeDuePrO+g6oSuqqrL66GrAFbattRceXEjvSb0BePmXl1m8eDGKoqCqqlsbYN26dQBs3LiRBg0aABAUFKQXurFarfocbDab13x/+OEHAgJcv2N26dKFlJQUfV2nTp1AVfl4VBfeuLU9JkVh5JArmTy4I9v/NYhxfVvTOFhhXN/WjOvbmlaNgukaG1Gl81XocH2RSc8r4c11BzmcUcCb6w66tS95egUzlu1ixrJd9HtpNTOW7arSPgRBEARBqB6jRo1i+vTpZzTGv/71L69ojL59+3LkyBGcTiddunThrrvuAmDSpEmcOHGC/Px8CgoKyMzM5OGHHz6j/QuCUDOI81EQBEEQahGLrl8EQP+P+3Oy+KTbuuTcZJLGJukVsVPmusS+HaN26H2M7Qk9J+htRVFo27atW8i15ng0Oh/z8/PJz3fldywpKdGXGytnaxi3++yzz/jss890cXPz5s3ExcURGxsLuELD77vvPr3/5MEd6RWcRr9+HfXXADOW7fJyMEbaLF7Ox8qSU+SQvJKCIAiCcB7QiuRVl8LCQp599lmWLVvGNddcoy//z3/+o7dvueUWfvvtNwD9GeTUqVN6FEd8fHy19y8IQs0h4qMgCIIg1EJW375aFyBNmHDicvnFv121h+i4sDiWDl0KoOd/PJPQJ0VR2LhxI7169QLghhtuYPPmzRw/fpyFCxdy9913s3PnTj7++GMyMzPZv38/AO3ateORRx7xqt7tyeTBHd1EQE9RUsv5mJZdpDsfq4q/vJKLfk5m+KVxgAiSleX7xxaSkh5IbHQxACnpgQRQjAP3ZbHRxeTk5jDvg5P6+saOI7RL+569jQeSFtCS2OhiBs4c4XNMbZ2vfWvjhA28GoDc738gbODVNJ448RyeCUEQBKGmueyyy+jQoYOel9oXs2bNolWrVgDMnDmT999/3+8Pn4IgnD9EfBQEQRCEWsrq212h1LO3zHariK3RuVFnskuyGRA3AHAVrYmwRrjljdTWaWjOR8/8S4WFhYSEhAAQGxtLcnKy33lpjseNGzfy3Xffcd9997Fr1y7uuecewBVyHRQURPPmzWnTpg3NmjXD6XQyZ84c9uzZ47dwTnl4ipIAPZ/9nvS8Ep85H6uTV7IqLklj+0IRKNNmzdKFuz/Sm/oUAD3be7OagAX2Zp0exFI2nnGZq93Ebf0hSwMOtegEZqveP3XMQnIs3mPuzQIeW6gLkN8/tlDf9yFLA5Kbt6P5SlcV9xON7yZm5TbMf7xMWkBLN3FSBElBEIS6wYoVK9i5cydBQUFeRfI0BgwYQFZWFrt37wbggw8+8PvDp2feyJ49e7J161YATCYTr776Kg888IA+9v/+9z+GDh1Khw4d2LVLUrYIwpki4qMgCIIg1HKMFbEjrBG64Kgt9+w3e8tsViav1IXHIZ8PYUDcAFrQAoDp06fz5JNPum1rs9kq7Yh89tlnmTp1KgAhISF88cUXLF26lNDQUE6dOsVbb73Fvffey+HDh7nttttIT09HURSuu+46li9fzq5du+jY8cwFu1+mujshPB2TNRHC7c8laWzXZcek0T1Ymp7OicZ3Y9mSR26EHwHQ0A5wFLqeJBUFTn+Z09u+lvlaf1p41F7nBkT73SYlPVCfb7ES7rbvUkswyXFlIXnG9iFLA5Jj29J85U+6IBkbXcwl0cfFJSlUCqMwL/eKINQc5f3w+f7771NaWqqnggHc8lbfc889rFq1irVr1xId7frb8cILL+g/fALExcWxfPlyn3kjP/jgA/1Z5LbbbmP8+PFu4uPw4cMJCgo6C0ctCPUTRXvz1mXat2+v7tmz53xPQzhHrFmzhn79+p3vaQjnCLne9Qu53jWL0TFpzBWpUZVngC5duvDHH3+4Ldu4cSPZ2dlcf/31OBwOAK666iruu+8+br/9dsLCwsjNzQUgJiaGtLQ0IiIi6NOnD0uXLj1v19tTlKyOS7IiusZG6I7J8yVEVhS+rLsH/VGBgGh2FFAaEHxmkzSOC4TbU13ORx+Ut65CsdMHYdkHsVtDiUnfxqUDXF9cfTk/PcO9hcpRU+9v7T72F85vDNU39tHEZc+wfo0FYxaSGxBNmCOdJtH+Uwa4hPkTnIjuiqUkD0dQOC0aO9zm4KttHKs+3EPy97t+UdH1Nv4I2uJQizNO+bJkyRISExP155YXXniBxx9/nHnz5jFq1Ci933XXXccPP/xAZmYmpaWlREVFceONN/Lll1/qeSN9Pftce+21rF69Ws91fcstt/DTTz8RFBSEzWar985HRVG2qqra43zPQ6jbiPgo1Dnk4aZ+Ide7fiHXu2YZ8vkQknPLXARa/sezkftx7969xMfH6yLkHXfcwaJFixgzZgzvv/8+hw4d4s8//+Tyyy+nY8eO7Ny5s1Zd75oudGNkXN/WugDZavJSfXmrRsFnFMJdXpj0gZPhfoXBcHsqDgIpUYJwBNgqLdZ50i4yFShfdDGuz8nNIacomgCKyTdFUmouc5QEOIto3TCr3JyPKemBFFga6HMMcBSCScFhOj2OFpXna/oVHGPL1DWoJSW6wJQb0drrfNU3MelMqYn3d4UCOf5F6bDsgxSENKY0IMStr4NA7JiwWyLOaG5VQdtveWkM6vo9VZs+z4WzT3nXu7wfPnv37s1PP/1EREQEOTk5Xilg/OEpPlosFv15A8BqtVJcXMxf/vIXvfgMQGhoKBdddBGqqlJUVKSHY999993Mnz/frb8mZB44cIB27dqxd+9eBgwYIOIjIj4KNYOEXQuCIAjCBcqAuAFuuSI98z/WJBMmTKBBgwZuhWemTZvGe++9x7p162jVqhVms5ng4GDMZvNZm0d1qajQja+cj5V1TC5PSmXy4I5uwiPA4YwC3lx3kPuTDzHc2pis35J4Y/E6LDTEzimWxLdjUHwTuq/91UugSJs1i59XlhMmrT3h+RDdvIQaoxCnqqBAA2sexXn2GhVL1qxZwy2GL6sbPt/PwW0naN01ht5DL9aX+xvXJUSVzbd1VDYDZ45wGwfQ2/mbN3Mg47TI6XmMGlpId9SlulhbZItxW+d5vvZmwd6x3xPuOMEVuV9SvGsXgR070nrJ4iqdD6FiUtIDXXlCywnn9wrV15YbBGS/9/6ZpAzwt95HX22/5aUxSB2zUERu4YJgZfJKvR3/drxb4TuNUaNGER0d7ZUCpjyMeR/tdjv/+te/eOmll8jPz6e42PX3aeHChW6h1P/73//YuXMnL774IhNPp0z4+OOPuf3225k7dy6//vorAAEBAYwePZoxY8YQExPDoEGD9NDtquCZV1Ljxhtv5KuvvuLpp5/mqaee0sVU7ZgiIiLIzMys8v4EoS4h4qMgCIIgXKAYc0X6yhHpy3lQlcIzI0eOZN++fQCYzWYeeOABzGYzl1xyCeAqPGMymXj55Zd55JFHANcD/o4dO1AUhdjYWI4ePVqjx1zT+BMltbY/x2TvDduItDYmqyQNZ98y0ffRkxYwmcDpxOLIxukopDSsI3YgJLAhAHYAGnL77jz4/Rf2hjT3Krry7a8NyY/rBniLZW7tCkQ3s6OAQLWY2OhiQi67zKcYeLboPfTiKu1n4MwRYHBFasKM5zh6e+jFDMRd5MzfvJmU9EACQy1kloTqYqvJaqXUifs59HG+yv43kWNpwvLwu+FyC6G5R+C2RBEga5jY6GI3wdnX/RzmSHeJe+VdN1/L/Izn9z1T2fX++lYgVPoSuTVBsqLCTynpgRSabKimQCyOHC6KLiy3rxRhEs4m/n749HzmWLJkSZXH1sbwxLMgjaIoDBw4kNJS1w+EEyZM0NfdfvvtAAQHB9OoUSMyMjL0/1VVJS0tjWXLlrmN6a/gDbieazQXpvHHVU2I3LNnD0uXLsVkMgFlQiSA0+nk6quvZtWqVfp6VVWZMWMGjz32WOVPjCDUASTsWqhzSFhH/UKud/1CrvfZw1f+pQcffFB3HlQ1BFtRFMaNG8df//pXEhMTCQkJISoqisOHD9OwYUMyMzPZuHEjv/zyC//85z9xOBx6jqZ3332Xm266iaioKF577TW3BO+1GV9hzr5CjAModhMS2kWmMnDmCN74v+/An+uzotDn08sCS04REJhDvtrKf18DAY5CWkdlVzi3c0Fte397OiZ/++6IK2Tb4Pz0PF86Ps57WO5hRi76O+Ceb7O+utfOZ87HMnHZNYa5tIgQZ5bbtbTYs3EEhFaY89EozJuy0it0BGttbSy/95AvfLkrzxJmRz7N//wJc3RMjRRhqm3vb+HsUpWcj9oPnw8//LDbM0d5KWCMIuPLv7ysP7f07NmTbdu2UVJSQkxMDOnp6aiqyoQJE5g9ezZRUVGkp6dX+XgiIyPJysqq8nZV5aKLLuLQoUP6a08tZvbs2UyYMKFKObnPBRJ2LdQEIj4KdQ55uKlfyPWuX8j1PjuUl3+pbdu27N+/v9Lio2fhmfDwcHJycpg9ezaTJk2itLQUVVV1V2NqaipNmzbV+5tMJt2JEBsbi81m092TtQVfOQc9i064hXT647SAEGzPZPR7t/LG2B9cyyorMPhY7yjci80UhT2wodv6kpKThKgmskrSCLFavEK3oSxk3FcY97mgtr+//YWBG4WtHFMjMFvcNzx9HRTVyf1vD/TKU6gJwPVNhDzf19vX9TxforC/PKZau1yBshph3pXezgNjESajKFmZc3W+r7dwbqnu9TYKjlo7LCzMzc2oKApXJF7BXvteTnx+AsWquD23NGzYkFOnTvH+++8zatQoVFVl8eLFJCYmntExNW3alOPHj1d7e+15SMNkMunPVpqz0h+XXXYZmzZtolmzZhw/flyv6n3xxRfXimckER+FmkDCrgVBEAThAqe8/Evaw39lk7///vvvXssURWHu3Ll62FFUVJSef2nq1KlufS2WMuHm+PHjOJ1Otwf0c4EvIcDLpeSRk+2QpQHEuV56hTn7+2J/+n9tPzidLuejx3pjMYpj2UUU2mNwBgTr6835xzAF2Fwh3HcOIOKrDdjVhm7C45zGoacne5HhSIPhdF5JjTfXHaRri5ZkRbkqcW81hI2fr6rctQV/YeCewotWJRlnKarZql+H6IsiAe88hY4AG3uzbHrIvHBu8HU9z9f5r8x+Pd2b+mdRdcO8K2r7yp95+keV5Lhr9O57s6D4xifpeWW4Xzfk948tJPmEFfu3C4HyXaTyHhA80fI/Tps2jenTp/Pkk08ScmMIJ4afAMAcauaad67h6NNHUVWViIgIfvrpJ+6++259jIqERy00WhP1PGncuPEZCY8AJSUlWCwW7HZX8pRbb72VxYtdqTjy8/P1flFRUZw8eZKwsDAKCgooLS1l8+bN7Nq1i+PHjxMQEIDdbic5OZmWLVuyZMkSbrvttjOamyDUBkR8FARBEIQLnMoUnqlO8ne3fQwYwHPPPUdiYiKvvfYa9957LyaTSX/InzFjBh9++CE7duzQt2nYsCF5eXm6UFlTlBem6U9c9KIyrqFyvvAbBUXty/Y//nuNK/T6dM7HYGeO3y/jRoF06409TwuECS6BcHBH3hj1FhYaklWSxn/iLvLavjy0Ct6eouSmgxlkFdrPqAJ3feCu98qu15IXfiH9aB7RLUK5bUpPwEeeQq2oTXrguZ+sUGeo6HMAaibnY2WLMBnbyTF9UFeu5FJm6QKkmyPY0gSsvj9T/RXWESGyfvL1/q9RVZXZW2bTghYAzJkzhyVLlqAoCu3btwfgmrbXkHRfEilzU+gwuwPNjzVnxc4VZGVl8e233/LTTz+xePFihg0bhqqqbj9iPvLII7z66quEhYWRm5sLoP846ik8mgJMOB1O7l94P09d/VTZcsN4mlhYEUVFRW6vp02bpouPxnV33HEH//73v8nLy+P2229n8eLFOJ1O7r33Xn3feXl5pKamAtC6dSUiLQShDiBh10KdQ8I66hdyvesXcr3PHsb8S4BX/kdfIVDGBOvlFZ9RFIWNGzfSq1cvFEWhbdu2boVoSktL2blzJzNnzuT9999HURQURSE0NBSbzUZaWpqbKyEhIcEttNsfb4/5HHtAuNuX7UrnV6soZLHcbd1zAp4vd4+/YjeauFhTdI2NqBFRsj69v79/bCEHTobrFbTh3ObXrA3Up+td1yi/CJP/7VplbWbIJ497pRYAqhYGfpr69p64kKjK+1t7/oiwRrB+2XpS5qZ4hVK3a9eOvXv36q9btGhBv/v6seDxBbz8y8tsmb2Fjz76yO8+goODKSgoqPbx1AS33XYbn376qU9n5fbt2+ncubPX8qeffpqnn34acOW5bNiwIampqRQWFgJw6aWXsnnz5rM678ogYddCTSDOR0EQBEGoB4zvMZ7xPca75X+clzSPbn928+prdEFWJxy6S5cuTJkyhTFjxugP4R07dtQrW956661cdtllTJw4kVtuuYV58+bx1FNPMXXqVPbu3Uv79u15/fXX3QrReLoZC002VEsEAHZLBHuzItwdjJUMiXZr+3AtgnfRiXNVDboi/FXi1kTJSJvFSzSsjjjpzymp4SmAilvS5WIbiBSeEWonbiHphs8yT1FyX2Y0qmLWPztPRnfl+8cWsi8zGhSqXzm8HDewvGcuLIzPHEb8pYC587k7WfD4Ah75/BFaHGrBh8qHrmeX8bM5fP1hcu25ZG3OImVuitt4RuGx5SUtOfLHEZ/z6du3Lxs2bcBR4qjBo0Q/Bn989tlnPpdrwmPHjh3ZtWsXvXv3Ji0tjaysLH7//XeuuuoqFi1axPDhw2t8voJwrhHno1DnkF/S6xdyvesXcr3PPkM+H0JyrsvBWF7xmSVLlug5lPzlgfRXfGbEiBEsXLiwUvPR8i+pqkpqairNmjXTBcuYsEbMuPXN6hVjKAdf4qLRwXihf+GtKcdkWKCZ3OJSn+vCgwIYfmmcPv6g+Cb0Ck6T93c9Qj7P6z4bPt/vVQU+szjUq1+4PZUS1UpcTAngP+ej52e59lnsrzK4r/QVQu2gsu/v8p45ojpEcelzl+pRGImJicTeF0vK3BQS5ifQ7c9ufPjEhzy/9nmm9J1yZhNWABW6P9Cdra9v9V5vAmog9fSdd97Jhx9+CEDz5s05duyYV58PP/yQO++803uKikKDBg3o0qULq1atAlxuyD59+rB06dIzn9wZIM5HoSYQ8VGoc8jDbP1Crnf9Qq732cfThTA6fjTje4wHvKtQJiYm6snfQ0ND9dxJLVq0qHQI9rPPPsvUqVPdQrHDw8MpLbaTX1xIbERTUrJdSd4VFBJa9mb7kZ8Yf+O/eeXLh+ifMJRVOz7HbDIz554VlQqP9vxCKwUPKkdVRcnwoAByiirvHmkdpuC02nRHptGZea6dksaUAtV5FjZu72scY75T43J/21U0nq99q6pKeno6MTExbuvNZrOe38zYt7zXvvZb0boOHTqwa9euao9b1eN+4YUXePzxx/XXISEh5OXlVWkMoeoY3ZB7vtlGgaWBocJ7KW0bpDNw5ohK//32yhXpCwnRrvVU9np7PnN0btSZ7JJsIqwRbM/Yri8v2lrE/n/v18VHz7Bs28U22kxtU+H+dozaQcL8BHaM2gFmwPfvY+WjQOxlsVzy6CVuwqj2mWX8LDObzUybNk0Pn9acjP4YOnQon332Ga1atcJms7Fr1y4CAgKYNm0aTz31FO3bt+f48ePk5ORw6NAhWrduzaxZs5gwYUI1DqTmEPFRqAkk7FoQBEEQ6hGa0GjM/zjk8yGuB+zTyd81jMnfR48erYdi+xMefXHoW5ew2ExpSWZIBifzT5GTk4NJMaOgkJrrSuL+0JCXOZC6naVb59O5ZW8iQxqiApv3fY8lwIrTWeoVyqeUFvkssCBfUKtHRWHcnqHV4B5+XREHc1XAOyfXm+sOsujnZIZfGsfkwR3d9lfbw7dVVeUvf/kLv/32m1uqAF/ilyaSPf/880yZMoWOHTuSmZnpNV5V0ITHe++9lzfffBNFUSgtLWXq1Kk8++yzej9jBVYNs9kMoFdWXbt2rS4maHPVBEbtdXR0NOnp6eXOyWQyAWC1WikuLiY0NJT8/Hyvqvbvv/8+4Co8lZGRwQsvvMBTTz3lc0xAFx41AcBYPbZx48akpqZiNpurlSpC8I8xRDt/82a3Ykqa8FgVtP7zxnzqWuArRUYlQ7SF2o/nM4f2esjnQ/Q+RkekFk6tlqi07NySw38c9hIwwyxh3NruVn1cTyFTw2wzU5rnoT6aoMkdTUhdmOo9WQUue+YyWndtzfaM7STnJjPxion63BRFoXfv3np34+e19tlV3meYoih6+PXhw4d99lm2bBkJCQn6D1gdOnQ478KjINQU4nwU6hzijKpfyPWuX8j1PrcYH+j9hWB/8sknXgVpjC5IowvASJDFRpG9kB5tBrDlwEoAAsxWHKUlKIoJVT0zgcBqtlBS6hJTJk2axMyZM89oPKF6eAqTCzcf8RuKXRm6xka4OS2NxW5qWpjURLEzcT6qqkpkZCTZ2dmsWbOGq666SncjBgUFUVRUxBNPPMGzzz7r5Q70N15V9q0oCjabzS3fmT9nofG1Z7sy8/Hc1p/zUWuvXr3aS8w0ru/WrRu//fYbjzzyCK+88kqVjvvLL7/kpptu4sSJE0RHR+t9tHOvCbxCzeMvJ2NV/377LFqDu3Pd6IwU52Pt4kyf1/zlggyzhNEgqIGbUKn19xQwPcfzLKoXYY3w6bLU3Jf+xjKGigNuuSnrK+J8FGqCWis+KooyCJiDyzD9X1VVZ/jrK+Jj/ULEifqFXO/6hVzvc4vnA7bxoV+rgu1LfHzwwQd1F+Tfug2k1NScb7bM4/WxP7iN/8DbVzPhxn/z8pcPMuHGf2MJsDLjs3vpdtFV/HZord953dQ1keVJX1JkLyaheVegiB3Hduvh3GFhYXTu3JkNGzZw6tQpUlJSuOSSS87SWRKqypnklAwwKTicvp9N/QmT1Q3frgnx0Uh5YcWqqjJs2DAWL15c7ja+1vnb97XXXsuKFSu8+nnuPy4ujuTkZAIDAykuLnZb5y+fq6Io9O/fX8875mvc8sRHRVFYtWqV/nmuuXj8CaAaSUlJdOrUye9xay5J7bVxDp7zEM4t1fn77VlIzFPQlOIztZeaeF6bvWU2n+79lFx7rr7MmAqmJqlIvPTs6y89TX1FxEehJqiVYdeKopiBN4CBQArwi6IoX6mquvP8zkwQBEEQLhwGxA1we8DOteeSa891CzPSis4A/P7helRV5fqgS1n7y2aXA+nX73FVIyjj+U/H8ucpVzjuy18+eHqpypb9LiHjt0NrdRfkpMH38eKyuW7bf7GtTKDJNmXwt7/9jR1v7ObXX38lNDSUvLw81q9fD7hCNhs2bFgj5+NcsPDx8Zw4fICYVm0Y8fzs8z2ds4K/8O3731zBzlyrW87HA+l5bk7JhGbhfkXKHX/muL327PfmuoNsOpjhs8K3tqzFj+/o578mUFWVdu3asW/fPr3gkj8++eQT7r//frcv7J7O4bMhmgUHBwPowmNtQlVVt1Dp+Pj4ap+DgADX15qgoKAamdu6hfPY9/MG2l7qCrPc9/MGgkLCKMrPdVvmr12VvjWxXUlhEUV5OXXqs6UiQVEExwub8T3GuypZV0EY9EdF79ceNCDi52a0vbQB6/Z49zW2e1zaGzX9SvJ3HSGkY8t6LzwKQk1RK52PiqJcDjytquq1p19PAVBV9QVf/S8k5+PC/xvEiVwTMWFOWrRqzr59KbRtGwvg1Q6yKBTZVb/rq9u3tu+joNhJ+/Yt6tzcz8Xcatt8qjuGcX12Tg4n0nLO+3EcPXyME7kmFJyo1Px7tG3bWPKyszh0LJ9gi4oTas11PJfXPKZxOBHh4WdtPn2nvgvAumf/ft7Pq7/ttHstJsxJToGTgtIAgs0O4ju1OCvv819K0sk/WszRJoWU4KRlaggRhWEoBKCag9iefIj3f1zHv+94hC1HU3j/x0955c6n2HY4yautEWmz8eTN92NRFezOo4z/5BMeHDCA7s3aMGrB29zRsyddmjVl8pdf0So6grTsfApLHARbAygocfDM33rz5FcbKA+bNYDCEgdBAWYev+5yrrq03Xm/dhXddwsfH0/qgbLnFRNOunduVqVxjffw70kpKChcEt+8Ro+pKu8nX+8lf/vVPs+19dr/JpNKiR3CmzTijlkf8dHEO8hJzUBpEElBsYOgglyKgsNYc8l4+v0xW38NEFSQi0kBp4rbMl/r80sD3aqZTvl0KXYnLJpwO3fM+sjtWH7dmcI/P/pO7/vfkdfo8y2xq9z/0fcAfPj3azmRa2L84m8B/26g3m2b89PeFLdllQ2B9qSqYdcdOnRg8uTJjBo1Su9TE2HXFouFkpISv8dSUdi15347duzI7t27vZZr1+X/PnBdj7XTx7Bmxx6e+uQnPn3oBm6Z8xVhQVbyil1pGP478ppK3Y/Gz1rt77l+b4ZGkHqyAL3Ms2vGxjNkWOavXZW+NbkdBAcFYKWoxv+uGd/znmPs2XPU7fm8pj9/tc8+oXbw/uiBnCqwEBPmZMR/l3utP5fPWTXzfvXf7vm3W+g7YnRVT9EFhTgfhZqgtoqPtwKDVFX9v9Ov7wIuU1X1AV/9LxTxceH/DSI113y+pyEIgnDB0rOzyw31y3YficbrLd7hnhpTPluOvbTMlRYVYuNkfiGzEoewLfkYH27a5tU28vKKdRzPLgunCgowU+QopWuLpmw7elxffu9VPXlr7S/YzCYKS71DQE2KglNVua5zO9Jz8tly5BixDcJ5ZGAfnvzie6xmM1Nv+OuZnISzSs/OTeg79V1eHjYY1/lW8BQLqjIW1I57uElYaY0/t5Q35pnvz/1en7JkKXYVZiUOpmGwnVMFlkqPNHHxMsC17SebfuWXZPfrMStxsFdfswKmgPIFu+qIj4CeN9HXa8+iMdq2Wii0JiLu3LlTdx5qfTt37swff/yh923bti179+51m4OxUI1x3MDAQIqKivTwdi3EW9s2MTGRxYsX+63EDS4BQ7vXjefc2H5r5Tr2ZeR5nfeawfhe1dq+ltVE35reruY5G+/5yqJ9jgrnH8/vrE3CSt0ESOP79txSk++lsnZkeCB/f+fzszjv2o+Ij0JNUGfFR0VRxgJjAaKjo7t75tCpi/w690VUry8lNflwci4egGrbPmrb3C+U4zjzP+R1+zhq2z7Oxdxq2zWv3hzCrS5nTE6J5Szur7ZdO1/bKVSVygiRgQFmih2VKzbiT4jUCLFayC9xXa8WDcI4mpnr1ac8FEVh8nVX0ig0jPN97cKtdtr+/XG2zn3x9LLqvye872HO0jFV3FZQ8f/cUpV7Ua3UmGe+vzImLvYuHuASrio3b038MvJy4nVMOO2ANI7lq69GXFwc77//Pv379/dat3r1ap/baH1Xr15Nenq6W2oEz2379++v7+PDDz/k3Xff9Vpf3rZGLBYL333nch/+85//ZNu2bW7r33jjDT1fY2XG7d27Nxs2eDucjce9793n9Xv961//YO3+o/q6AAVm3DbY5/mNDApk6t8GcOafr3WNs/s3x/s9eO7+rmmfo8L5x/M7q4LKX+6bpK83vm+r8rnsTXnPLVUdq7x9aPgeo2vMKcy3PF/N8S8M+vfvL+KjcMbUVvGxXoZdi/NREATh7FKbXGPnj+o+oLvjy/l4RduWhAVaWb5jHwmxjQkLtLLxwFG/bqSJi5fxwF8vp1VUAyYuXsYlzRrTrlk0n27ZgdVspqTUXciclTiYSUu+xamqtGgQQYem0Xy/cz+hgVYGJbTj0607uLFrJ65s14pHlyyjUUgwkwf3q5HjPRPKnI+DcNXRO7OxoHbcw3Xd+ejC9RwcFlhCbrH1DMYuc//4c/3UlHPrXBdV0SpLA17VpcujJgpSVMZBdbbceE0CcyhyWmgbdhKAfblRBJnsXsv8tavS90y3+yOrKcXOs5/KX5yPAlTH+Xgmzx2VFBZNTVAowhRwMQBOx35UgryWebYDHZkUqWkEmWIoNjf02Sc+1MbAuY+dwTHUfcT5KNQEtVV8DAD2AgOAY8AvwHBVVZN89b9QxEeQnI+V6Ss5H+vOfM40/58xR9j5Pg7J+Sg5H8/Ve/Bs5XwsKgqnRDFjCrgYVQnw+YCttVWCUNQCGlnDyHc6KHLko5qD+CNuPy1TQ3j+wx8odXiHRwM0iwzhz6x8lk4cyne7jjFn6WaCLGaK7C4hce30MYyYvZiUzDyf258pr4waRNumDbn+hUX6sotiIpn/4NDz9vlp/MLsEiBNgJPIoMp9Dvoa60LK+egvp9yZ7s/X+l+2p+nXolmLMHJSMwhv0ogjf32SoC+e8MoX6St3pKNUocQZQOhpF2peiYVQq51llz3FFw/0AdDzVprNUFpals/yTNGExy+++IIbb7zxjMc7m9SE+Aj4zTHo677wmQ+uGjkf27aNpe9lsbDrK+j4N9dEdn0FQQ2gKNN9mb92VfrWwHbr9pjYlx1B20aFEN3prPxdk5yPgkZlcz4GqK3IVJtW/MzhQyRUnHacpQcwmdugmizl9rUEXwmKApq2obV9LfNsG/HRJ9ieyej3bq2hM1c3EfFRqAlqpfgIoCjKYOBVXBaB91RVfc5f3wtJfBQqpqYeZoW6gVzv+oVc77PD948tZG9WE5/rwvKOUBoYTmy0qxJuSnogsdHFXlVGZ2+Z7VYZ20hcWBxLh7rCWJcsWcKwYcNwOp288cYbPPDAAzz00ENER0czbdo0AD33m7/rrSgKGzdupFevXiiKQlBQEBaLhdzcstBrq9XlUispKeGee+7hnXfe8RrnyJEjDB8+nJ9++gmAvn37snbt2vJOlXAWqe3v7xnLdrE8KdWrUra/6tueBJgU9j8/mBnLdvHmuoNe68f1be1WBbwijDkajdTWZ3dPqnu96/px11dq+/tbqFkqe73njfmUAkuDygl/laUmx6rEGO0iU+t95XURH4Wa4Oz786uJqqrLAP9JcgRBEARBqJDvH1vIvszo06kGXQ/YZnsBFkceMenbuHRANI0njqlwnPE9xgOwMnklEdYItmds19cNiBtQ7rZz5sxhyZIlAEyfPp0nn3ySiIgIcnJydCGyPF599VUeffRRwCVMqKqqF+0A+O9//6u3r7jiCl1sbNmyJQBNmzbFYrGwbt06FEXBarVSXFxc4TEL9YvJgzu6iYNaWxMlI20Wkv7Mxu7ndk1oFg64REtfLE9KrZL4WF/Ftvp63IJwIfH9YwtJSQ8kgNN/a43v69PtcHsqDlx9HAS6/QharARSGhCsP7cEOAoBcATYyh3LOIavcT3X51ia6GOEZR/Ebg0lJn0b5ugY0gJa+vwxVhCE6lFrxUdBEARBELzRHujLeyA2PvTnWJoY6pK4HrDjHHtpl/Y9YQOvpvHEiZXe9/ge43URcvaW2axMXsmAuAH6sopQFEV3P9rt9tNTclXWLU+EbNmypS5Url+/nj59+hAaGkpeXp4+hkZWVpbX9sePH8dms2GxWLBareTn52MymQC49tpr+fbbbyt3AoR6iacoedPrP7LjzxxdbNTaWsj1oPgmPp2PmqNSEAThQkaPtrC4XvsSBisS9VxjBOvPLa2jshk4c4TbM1Blx6portoYl7TNJvf7z04/G02o1niCIPhHxEdBEARBqKW8PeZz7AHhWBw5XBRdyIGT4ZQGuB7o92ZB6piFPn/pz7GUPfQDunNAUUtp2yCdgW9NAM7swdqfELk2aS2qqjJ53WRa0MJru8WLFzNs2DAKCgp4+umn+de//uXlhvTk4MGDnDp1CoARI0ZgsVjIz88nJCSE/Px8t75JSd7poRVFobDQ5ZrQRE+n08nUqVN57rnndCGye/fu/PLLL2dwVoT6gCYy+kMTKjW3ZFahnUHxTarkehQEQairpKQHup5BTj97OAiscs7EgTNHgI8fW2vaheg5XlV+kBUEoWqI+CgIgiAItYgFYxaSGxCN6lTBEgGA3RLB3qyIsr/apx/ocywuJ9XerNPLfQiOgP5/2wbpNf7gbswFOfGKiaglrn3NvGqmYSoKMTExPrdXFIWLLroIVVXdhMfLL79cb//jH//gH//4B+DK46hRWFjIf//7X/7v//6PDh06sHv3bp/70JyRUVFRZGZmUlpaqrstAd577z2uvPJKLr74Yt555x3Gjh1Lw4YNycjIqPL5EATwdksKgiDUF2Kji13PJaf/9mo/kFYVCXcWhAsLER8FQbgg2fD5fg5uO0HrrjH0Hnrx+Z6OIPjEGB7tIBA7JuynBUXMpzv5SqxuzHfkL/G6jzxIZ+NBfmXySr0d/3a8335FW4s48e8TPtdZrVYURSE/P5/g4GAAQkJCmDx5Mk8++aQejq0oCk2bNuXUqVPk5OSwe/durrzySgCOHj0KgMlk8hu+nZubi9VqpbCwkG+//ZZnnnmGjRs3Mnz4cLZt2wbAxIkT9TkIgiAIZx9P13tlcgF7bp+bm6v/0KQoCoGBgQQHB5OZmek3j6iWQ9jI4sWLue2226pxFIKGP9eiIAj1GxEfBUG4YNCEnMBQC5kloaDCb98d4fCaJIrz7PIAJNQKvPIxWnx08iEiGtsBjkKC1Wy3ROnG9WdbcDQyIG6A3yrYGkljk3RHZGJiIuByTHpis9n0sOz09HRdBDRWvz1+/DghISFYrVauvPJK/Qtrfn4+kZGRFBYW+i0mY1y+aNEiNm7cCEBgYCAAoaGh2O12evTowfr16/VwbIvFIgVqBEEQzhKjRo0iOjqaadOm6Wk4jFRUoGzTpk107NiRXbt20a9fPyIiIsjOziYiIoKMjAw3cVNRFIKDg8nPzycqKor09HS3sS677DLAVagsLS0NVVVp1KgRaWlpmM1mr30LvpHnbUEQPBHxURCEOs/3jy10y4VXoGkEpwWczOJQnzny5MFIOFeUKzhqQqMvwbHUASaznvPR00VQ04nXq4OxCvaAuAGcKDjBj8d+pFFQIw7muIpuaI5Iowg5oecErI2tfh0pRiHSs09+fr4uSKakpHDFFVdw5MgRr2IzrVq14vDhw/prY2j2ggULdNfLtGnT2L59O1988QUA69evB9C/5P7vf//DYrHgcDgAccYIgiDUJHPmzGHJkiUoikL79u0Bd8HxwQcfJDo62kuU1OjY0ZXioF27dtjtdpxOJydOnODEiROYTCYCAlxfeceMGcN7772n5wrWhEdVVYmKiiIjI4NWrVrpf3NuvPFGPvroI0JDQ3n44Yd5/fXXz+p5EARBuJAR8VEQhDqNXlHPIxce4DM01Zgj7+Dfv9Gr5wlCTVMpwRG8/rfYs3EEhBLmSOeu98q/N2vLvWssPmNk9pbZfLr3U3LtuYB7WHbS2CRK0kqAMjekP1RVZcmSJT6FyNjYWACaN29OSkoKrVq10vNCHj58mMDAQN21uG/fPq9xAcxmM2vXrgWgR48epKamkpKSove77bbbuPvuu3n33Xc5cOAAFosvu6ogCEL9oSI3YmW2z811/W0IDAzkxRdf1NcZcwCrqqqLk6qq+nWkh4eH6+NlZmaiKAqHDx8mLi6OiIgI7HY7/fv357333uPiiy9m//79+rZmsxmn00lQUBCnTp1i3LhxfPDBBzz++OO6QBkf7z+tiCAIglAxIj4KglAn0YSdEuV0EQ6PXHhh2QexW0OxlOSRG9HapxDpCLCxN8tG+kNf4oyMlvyQwhlTVcFRC4/Wcj5eaI5cTZTUqmFHWCPYnrEd8O2GVBSFtm3bljumJkR6CpZ//vmnmxuySZMmWK1W/cupyWTixIkTNGrUyGvM5557Tq+CvWXLFn25Mdw7MDBQ/9KrzWPo0KF89tlnlTsZgiAIFxBaqLQ/N2JFaKHSAI0bN+a5554DYPXq1QD89ttv7Nu3z+uz3p/QmZOTQ2FhIc2bN9dd7iNGjGDNmjXk5eUBcNdddwGwcuVKduzYwZAhQ9zGLC0t5eqrr9Zd7loIdvPmzbnvvvuqdZwXKofnJfOfRd9V6odSQRAEAFPFXQRBEGoHGz7fz4dPbmDRQ1+yN6sJBZYGOAJsrpWGXHjtIlO5tkc2V6W9z7U9smkXmUqwPZNwe6pbX04LC5nFoWSnFfLbd0fY8Pl+z90Kgk+0+3HD5/v5/rGFvPn3r/X7UnPYYhCvjIJjsD2TdpGp3PXeCEa/d6v+/4UkPBoZ32M8S4cuZdH1ixgdP5owS5i+Lv7teBLmJ5AwPwHFqrBv3z5UVUVRFJ544olyx50+fbouEBodkS1atCAgIACn00lKSgoOh4PIyEhdeDSZTNx66616f0149KR79+56e+7cuaiqSkxMjB6W/fnnn+tVswsLC6t4VgRBEOouc+bM0UOkq4MmPJaWlpJbmMup4lOoqsrChQsB6Nq1K4D++aqJkIqiYDKZiIuL8xrTZrNx1113sXXrVu666y5+/PFH/W/B2LFjAdcPSSNGjHD7zFYUBYvFQp8+fdi9eze//PILJpOJ/fv3s3//fo4fP84jjzxS7WO90FgwZiH5Qc1RFTM5liYsGLPwfE9JEIQ6gDgfBUGoE2z4fD+/fXcEVIBQ18LTTjKzo4BAtdjLNdZ44kQABhrGKcsPGezTDblv1V6f7scFYxaSGxAtv/DWc3wWNVpxBCg/9P9cFoCp7RjdkN/s+YYipchvWLYWJu3LEWnMDdawYUNOnTqlL/cUIsEVVhcYGEhmZiaxsbF8+umnALRp04YDBw74nOvWrVv1tlZFOy0tjT59+gDoodmxsbEEBwejKArXXnst3377bTXPjiAIQv0hKCSI4oJiMEGTEU1IXZBKbp7r74EWCg1lOYATExN1B3rPnj0Bl3g5b948xo4dq4dlN2zYkE8++YTGjRvzxBNP8NBDD7Fy5UoA7rnnHt566y0ee+wxGjZsqFfD7tu3Lz///DMxMTGcOnWKuLg42rRpA0BcXBzLly8/16en1pIbEO1qnH7e0V8LgiCUg4iPgiDUCfat2gtqoE9hp01UTqUFnYEzRzCQMhHJXJxLbmicPlZU+jZgMBj62DFhP+1k037hFQGy/uArlNqzqJFbWwTHSjG+x3j+kvcXfg391We1bKMQCdDtz27sf8K3MzkjI4PBgwfz7bffMm7cOObOnQu4C5FOp5PDhw9js9kIDw8nPz+fG2+8kU8//VR3L1Ymb1lUVBQnT54EXKKjVim7S5cu/O9//6N169a6G7Nt27bs3bu3kmdEEARfzFi2i+VJqUTaLGQV2hkU34TJgzue72kJZ8jsLbNp+5+2lJaUsmvsLlIXuKJTVGfZZ3Zoo1DyMvKY+NFELgtwhUCXlpayaNEiRowYoX92G39wcjqdZGRkYLPZ2LJlC9dccw0Wi4UDBw4QExPDkiVL9NdGVq5cSVhYGIGBgZjNZo4dO0ZeXh6lpaWkpKQwdOjQc3Rmaj9hjnTX85CW6siRXsEWgiAIIj4KglDLyVi8i3kfnMRcnAsGkTAs7wilgeHVFna0bdJmzeLnlbs5Ed2VmPRtKNExzBvzabk5++QX3vqBZxV1HX9FjQyh/1LIqPIYq2Ubc0IaSRqbxI6SHUDFeSH/85//0L9/f4YNG6ZXSJ02bRpOp1MvTgNleSEXL14MuIdt+0ITJjXhUUPLKVlcXEyTJq4fKbp06cKBAwfYt2+f1xdjQRAqz4xlu3hz3UG3ZW+uO8imgxluQqQmUIowWXsoLCwkJCQEcP1Qk5yc7LZ+Ut9JlBaWAtDw6oacWn2KhHcT2POPPYS0COG6l65j/bL15M3N4+W7XgZXVxRFoXfv3m5jBQUFsWPHDtq0aUNMTAzp6ekUFBTQqVMnt37p6ekEBQXpIdcOh4M2bdpQUlLCn3/+Cbgcl6NHj+azzz4jLMyVIiQmJoZPPvmkZk9QHeau90Yw/+4PKAhsIhFBgiBUGuVCeCBu3769umfPnvM9DeEcsWbNGvr163e+pyGcA/RK1qfRisjEpG/j0gHRelj1mZI2axa53//A3sYDOWTr6r7SKDRpqCrhjjSaRENKujjbapLz/f72cjlq+LgPjPejOTqGtICWci9UEV/X21dxGiPGAjUaqqrqzkdjZWxtHbjyQz755JM+hcDi4mLMZjMBAWW/yT722GPMnDkTgCZNmpCamlrp47JarYwbN44FCxaQmZlJQEAADocDRVFISEjgjz/+qPRYFxLn+/0tnFtq4nr3e2k1hzMKyu3TNTaCbSnZ+uuwQDMjLmsJIILkWUD7jB4QN4AWh1q4FYSp7PfK0tJSOvbuSHZsNic+P6EvN1lMBCcEk78zH1S8PutPnDhBdHQ0M2bMYMqUKfry8PBwGjdurDvNS0pKsNls+o9GwcHBbNmyhY4dOxIdHc3Jkyd9ut21YmbFxcVYrdaqnZh6hnye1y8URdmqqmqP8z0PoW4j4qNQ55A/dhc+Gz7fz8FtJ8g/nonDFKQLP7bik/Q9Po+wgVfXmPBoZN6YTymwNPApNFns2djNoWAy+9xWQmxrhvPx/vYrOILXvWC8zpdEHyf3+x/O2v1YH6joemtfcjOLMvW8kEa6/dmND5/4EKfT6VN8dDqdPitjT58+nWnTpumvje7Em266iaVLl2Kz2cjJyQEgKyuLyMjISh+X2WxGVVX9i+306dOZOnUqP/30k54vUlEUWrRowZEjRyo9bl1H/n7XL2rievtyPnoSYFJwOMv/PuNLkNx0MIMdf+aQ0CycLx7oc0bzrA9ERETon4kJ8xP8/hBU3nZGtDy6AIpJ0cOtAcxhZkpzS6s8R39Ocy0VRpMmTcjKyqJHjx4kJSWRkZFR5X0ILuTzvH4h4qNQE0jYtSAItQq3wjKmINfC0w+SLRo7uHj+2Uv4HRtdzN4s/Obs+8/Y71z1bnzk+dNEq71ZkDpmIQ5cYpYIkrUTX3kcdXyEVfsLpRbR8exiLE7jmRfSMxQ7PDzc7ziKovDJJ58wbNgw8vPzCQ4Odltv/LL65ZdfoiiK25fl5s2be41X3o+3paWlPProo7zyyis4HA6eeuoppk2bRocOHQgICGDkyJHMnj2bhg0bMmHCBF555RUsFosewi0IggvNsWjM+Rhps7g5HROahbu99kVucambiGlsb0vJpuez3xMSGCB5Jcth1KhRfJv+Lfs+chUCi387nriwOJYOXar/yKMJjUZX4ahRo4iOjubJJ590S4XRpk0bnnvuOdePQyps2bKFHj1c2oYmPIbHhdNlQhf6tOjDC0NfcJuPFl5t/Cy+9tprOX78ODt37qRHjx5s3LiRI0eOEBcXx65du+jUqRP/+te/+OGHH87FKRMEQRAMiPgoCEKtwrOwjLm0iEBn4TkR8AbOHAGnRSlf+/NMsA34rJjt6Z4zCpKx0S5xQcK1K8f3husB6IKhr3NZmfbAmSPKwvkrEBzFzVp70PJCfrr3U5+VsXeM2qGLhZrDRfvfE61qanlCpKqqKIqir8/Pz9fXR0VFcdttt+lFbTQURcFkMlFa6vrS/NJLL+nrpk6dypw5c9i9ezfgcoxkZ2ejqioffPABVquV4uJifc6TJk3SQ74Fob4zeXBHLyHQM8fjjGW7WPRzMjlFjmrtIz2vhPS8Ev21Z15JkBDuOXPmkPlCpi4+AgyIG+DWxyg0GoVILV/inDlz+PjjjwH3z2hFUejRoweKovD4V4/zW8lvLLtlGTnJOax/eD3rWQ+4Pr+1fI0nTpxw23ejRo3cKlL//PPPgKtSNbhc7QCXXXaZiI+CIAjnAQm7FuocYvO/cCkr8FEmBsSe/JEbP3vqPM7KnQVjFpIbEE2YI13P+VhuuK6vnJEGROByoYmM4UHphIeF+z+vZ0i7yFRS0gP9htfL9Ti3VOfzXAvFTs5N9rneMxSwbdu27N+/X3c+aqHYnm3wn69MURTi4uL0EGlFUbBardjtdtq0acO+ffu8tomJidG/HBudkkFBQRQVFbn1tVgs2O123n77be699159uaqqJCQksH27d+7Luoj8/a5fnI/rbRQlgTMSJP0RHhTA8EtdgpZxX/VBnNQcjoM/G8yAuAH6D0PacmPaC83l+OSTT+qfv6GhoeTmun5AeuLrJ+hS2IXExES3vLrR0dEcP37cLQevhtnsSn1TWlqKyWRCURT9Bx8tty7Ahg0b6N27N4qi8MUXX3DTTTf5/Hxv2rSpXmhGqBryeV6/kLBroSYQ56MgCLUC3Y12+lPJ7Min+Z8/0bRt4fmdmAf+Kvp5hfH6qoZcQbh2yuhPKDHZaByUxU1vjDyLR3F+0XJ6tu4aQ/7mzW4VpQtKG5CahX9Xoi9RtwptzQFZXni9ULvRQrH7f9yfk8UnvdYbHZFJY5N0YdAz76MnRiHS80uqqqpuwmNMTAxpaWkA+via6zEoKIji4mI3V87Jkydp1KgRAEVFRSiKwt133838+fMJCAjAbrcDMHv2bD1UsbCwkODgYHbs2IHJZMJms3HgwAG9orYgCN54uiQ9K2GDd87HBsEWN9djReQUOfyGcBsdkxdKCLeng1FRFJYOXVrhdnPmzGHJkiWoqqp//ubm5hKdGE364nRmj59NJJEApKamEhgYSP/+/Vm+fLmb8Dhw4EC+//57AF1oBNcPOQUF3sWITCaTXtRLVVX+9re/4XQ6WbFiBYMHD2blypU8+eSTJCUlifAoCIJwDhHxURCE84peXOZUJJjQRSKLo4BLB0Szq0fd+JHNKFoZhUgt92NlwrULrFEAHHOE8Oa4FVxyTRt6D724wn1/X06oeE1j3FfIZZe5iYjlhTxr5yIw1EJmSSio8NuKI0CZ4OxXOPR13vydywra+jk6h+dMODusvn21LkAGmYIochZ59dGESKMbUlEU2rZtW+7YFYVla8KjEafTiaIoKIqiV87WcjhqwqOiKDRv3pyUlBTmz58PoDt1AHbv3q2HImr7TUlJoXnz5phMJpo2bYqiKMTHx18wbsj6gq9ceFUhJCSEgoICFEUhLCyM5ORkIiIi2LFjB927d9cF7CuuuIL169czc+ZMHn/8cV1Iv/baa/n2229r9JjqCr4ESU80gdJfXsmq4LldXQzhNt6vVyReQZopzS3cGjyqXtMCcAl/2j1nbL/22ms8/PDDWMIspH+WDkDhvkIKKfuBubi42C1sWkMTHsHlKM/IyKC0tNRLeNQ+Sxs2bMgLL7jnhwTXeyA0NJSXX365yudDEARBOHNEfBQE4bxRXnGZuCalNJ44kV1r1py3+VUXX2KWv9yFXqLkadGtVA1wnRsoV4A05i/cmwWH7ltBwsDKiZYVoQnDpqx0ivPsbsVZ9mYBK1zz00VEbTl4tTUKtHoavoRGH2Kh0ZUINZPzEXxfI6Husfr21Xpb+yIcYY1ge4a7MOfPDVmREFlRfkhfqKpKaWkppaWlKIpCgwYNOHXqlL4uJSWl3O0tFovbF+sWLVro295222289957hIWF6SJl27Zt2bt3b4XzEs4vxlx41eGmm27igw8+ACA8PJwBAwawZcsWbr75Zho1asSff/6pV1M/deoUUVFRvPvuu4waNYoVK1YwaNAg/vjjDy655JKaPKwLhorySgIs3HyE3OKqV2CGMkHSn0uytomS2v06bdo0sq7LonCzSyT8ev/XAG5FwCZeMVH/cUdVVT3VxayfZ7Hg4wVse3kbk5+cjKqqlBSUgOEURrWM4uSRMge7VgF78+bNPPPMMyxd6u6wzMrKIioqyusHoBMnTpCQkMCJEycYMGAAH3/8MWFhYeTl5XHs2DGaN2/Otm3byMnJoX///owfP77Gz5kgCIJQPiI+CoJw3jifxWXONf6ORxMlUUtdzkcPQe6PZXvY8802v+ckJT3QJe6d7m93Vk60NOIZBp2S7u5QhNCKw6Ar067AzRjgKCQq8Kie8/FCvA+Es4cWjg2uL8bG4jRGakKIhPLzQ2ph2aqq6sKjoihER0e7hWObzWa3MEJAd7ABNGvWzC0s8LPPPqNLly4ANGnShLy8PPbt21dh9W3h/KOFoFaXhQsX6u3WrVvr+fHAFcpfWlqqC9uhoaH8/e9/19dfe+21KIrCr7/+KuJjFahKCLfWrqpj0p8ouejn5HOeV9LTnevrfl3w+AIAJvScgO1iG22mtiH+7XjCLGH8/H8/U1pUqn+mvrnqTb1YV0HWaZeiR/pNo/AI6K7g7t27s3LlSq/9l5SUuAmPwcHBBAcHEx0dTUZGBgD//e9/CQgI0D9bY2NjAddn8KWXXirCoyAIwnlCxEdBEM45muBmLs6F0DhdfGqR+ztDPnn8PM/u3GIU1774xwf8WRyNarbq56TUHESBOYi9WZD+0Jc4I6PdRMIATlsJPYS+7d8f0AVFQG9rgqR2DXyGQVt8OBQrCoOuTPv0/2HZB7FbQ4lJ34Y5Ooa0gJa60CgJzIWaQBMiy3NDQs3khwR3IdIYlq25E7UK2prwqOWHbNGihZsT0lOM9MxH5nQ6mTp1KoCb+KSNaZyHtu8WLVro+SqFc4+vir9VwTPcevv27SQlJTFixAgCAwMpKXHlKtRy5N1xxx2EhoZit9v1KurTpk1DVVWGDx9eo8dWHykvhFtr10QId2XzSlZXlNTuSw1FUdwKxPjj5V9eZnyP8QSFBlG4v5Ado3aUrTS59933mEchLhvgI433mjVr2LhxI1OmTNGXBQQE6Pf0o48+ygcffMCJEydQVRVFUejQoQO7du1i7969xMbGulXO3r9/P1u2bKFbt25s2bKF7t27V3xCBEEQhLOOqeIugiAINYcWJlxgaUBuaBxh2QcJKjxBXPJ39OhpPd/TO6/c9MZIbumQRFzydwQVnsDscDkGOP1QnVkcSnZaIb+tOKKfwxxLE8LtqZgdp10Fp8UHhzPA1fe7I/z23RG9veihL3nz71/r22cWn3Y3Gh7c3doewmG4PZVgeyYXFW7T5xmX/B0XFW4j2J5Ju8hU2kWmerW17dpFpnJtj2yuSnufSwdEM/iDCYx+71ZxOApnhfE9xrN06FIWXb+I0fGjiQuLo3Ojzj77xr8dT8L8BBRr2f2vKApPPPFEuftwOp0sXrzY7cuvhiY6Tpo0yWsbRVE4duwYZrOZGTNmAGUVXDVCQkIwmUw+q75q/Tp2LBMbVFVl586dgCvHWmZmJikpKW5f6oVzy6hRo5g+fXq1t7/ppptwOBzY7XYcDgcXXXQRjRo1YtOmTTRq1Ijrr7+eyMhIAN544w0++ugjbrzxRl1A//7773n22WeZPHkyVmv9/ht7rpg8uCNrHu3PFw/00f8f17c1rRoFM65va73dNTai2vvYlpLN4YwC3lx3kDfXHeRwRgGP39xdzzs7Y9ku+r20mqDgUBRFwWQyERERobeN96X2//z583Wh2mazsXCzy227Y9QOUua6fiSZ0HMCiqJQnF/sPSknp6Ml/OCnfmBmZiaTJ08GICwsDKvVyrZt2/QcjrNmzSI3N5ekpCRUVcXpdFJQUEDTpk1p3ry5/jmrqipXXHEF3bp1o1u3bvTp00eER0EQhFqEciGE6bRv317ds2fP+Z6GcI4QZ1TdZcPn+9m2/CCqYtaddLbik/Q9Po+wgVfTeOJEr23q4/VOmzWL3O9/YG/jgRyydXVf6SOcOdieyeBOh/l5ZTonortit4RQGhDiPwza11g+0ByKlpI8HEHhtGjscBMJtXn6u3bVoT5e7/rM+breFTkiNYyFagA9l5nR+Whsf/LJJxXmh0xJSWHPnj0MGDDAa53ZbNYdO1arFbvd7jOc2l+YdXh4uJubqaqEh4eTnJxMdHS0Hv6tiRkPP/wws2fP1vvu2rWLTp060bBhQz3csSLq4/t79pbZet47LWzfV8GZwsJCQkJCAFeYaHJyslcf7Z4oLi4mPj6ejIwM8vPzGTBgAN9++y3FxcWEhIQwefJkMjMzefPNN3E6nQwZMoSvv/76rB+rJ/XxeleVyuaVTH7lNtQSl3qnWG0+26Hdb8AcHEH2+g/17UK730Bsk8bsXvpfjxEVylcKa4Ag6PxMZ7ZP8v6MNZlMWK1WioqKaNOmDR9++CGXX345ISEhFBUV6e5GKaxVe5H3d/1CUZStqqrWjSqgQq1FnI+CIJwTtOIyqmJ2LdBCrRs7uHjF8hoTry4EGk+cyMUrljP4gwm6czAs7/QXUT8VnBtPnMilA6K5Ku19Yk9u8dsXKHM2GsKgfTkYNYfitT2yGTN/mJc7UZunXDuhruHpiAyzhPnsp7khNUfkvn379LC/8hyRWn5IRVG8KrK2aNHCp/AILudjt27dAPwKj1AW5m10SQJnJDxq20dGRmK3293EU6fTySuvvELPnj31ZX379q1UAZ76gibSGh2wWlGOkwWuvHZasQ5fBAcH6+6to0eP6uKj1WrVx9UE4U8++YSlS5eSmZlJSUkJ3377LYqisGHDBhwOB0OGDKGwsJDS0lLi4+PPi/AoVA7NJamFc2//1yCfLsnLr72FgXc9BECry4cQceWdAIR0vlpvN7r6XiwNmgNgjojRl500NwKg5WPfEPW3xwAIaNCUFreedkSfvmdNZnPZxKr5DTGycWTZiyJ8Co/gCvsODQ0F4MCBA/Tu3ZugoCA9V6PD4SApKQmTyYTJZGLmzJnVm5AgCIJQaxDxURCEc4KruAz6Q66iltIuMlXCbStg4MwRjH7vVq7tluE3zFk7h5oY2PPKcLe+Wjss+3TOKEOBl/LCoEVcFOoD43uMZ8PwDZUOyz4TIdJXaLaGoijYbDb9tVF4vPPOO31us3z5crfX2pf566+/3k2Y9BQpwSV2NWzYEJPJxD333KMvDwoKAtBF07S0ND1sfMuWLaxYsYLp06eTn58vIY0GLrnkEi9ReWWye8GMBY8v0O+ZK664wm1dy5YtKS4uprjYFc6qhdOXlJR4idB33323vn7WrFmA637p378/f/3rX+nVqxcrVqwAEAGnDqIJki/c0YspQzqx7rEB/PTVAu65oQ+KonBwzRKGXPEXAJ54ZqbeNmJu2AKAIzOv5+RXrutecupPPaesI/NPjn76gqvz6fvLqRocud7m3EqRlZbld53JZEKLVMvMzOTkSZcon5CQgNPppKioiOzsstyYI0eOxOl04nQ6eeyxx6o3IUEQBKHWIOKjIAhnlQ2f7+fDJzeg5J6uaHj6Ibdl9hYRHquA0dlYUa5Ez75a+9oe2W75GO9993oRGQXhNNXJD+kpRCYmJqKqKrO3zPa5nfZFWisgYkRVVQoLC2nQoIGXUPnhh64wyuLiYjch8pprrnEbIy8vj4YNG/L111/TqVMnt/16UlBQwKlTp3A6nbzzzju68KltpwmZMTExvPjii9x1112ASwz717/+xeLFi30eY33C6Hb8/fff6dy57H6ZvWU2mUWZbv1f/uVl3d34008/uW1/5MgRLrroIj0vo3aPaP+MeT+1vHcAAwcOdHPCahWCb7rpJqxWq37PiYBTd9ByM+bk5PjNF3rTX1xFViYP7qi3o0PLcnqWHNoKgCnASoO/un5cOP7OvWQuneV/x86qh2ErZgtBId7O8fDwcKKjowFXHkdwub5PnToFQJMmTYiLc1Xzjo2NZdu2bYDrBw7tPTJ//vwqz0cQBEGovUi1a0EQzhpaqDUqENTcrcpxjwHR53t6dY7GEydWWiD07Ku1B56VmQnChYVWLRsqzg+pVcw25oec0HMCoU1DdSGyBS3ctrHZbDidTj3EcPHixXqBkMzMMsHqzTffZNy4cfrrwMBAvf35558zdOhQr/lo+dI8sVgs2O12oqKidMeRkcJCV964X3/9FXAJmUYWLFgAwN/+9jcAbrjhBn1dQEAAiqLoBSIWL17Mbbfd5rWPCwVjpeABAwbogp+GFm6tERTgcpNq95RWwRpcTtPk5GRiYmI4fvy417ULCAjA4XDo59aTSy+9VHc/+hKZhdqLsRJ6WFiY3jZWnW7fvr3f7VVVdatyv2Va2Y8RV111FWvXrsXpKCFn/QfaFtWfrGKCsBjISXWfQ6mdony7V/ecnBwatv0LpKeTm5sLwJEjR+jduzc9evRg27ZtdOrUieTkZJYvX87y5culQIwgCMIFjjgfBUE4a3iGWpeGNtLdeOKyEwShLlBZR6SnGzLvuEu8m9Bzgu6I9BVuq6EVkTE6Co3Coye+hEfAK8ekht1uJyQkxKfwqNGsWTO9bQzVNgpiWli2kdLSUhRFYcyYMSiKwrBhwzCZTLprzyhUXnXVVfryq666yu9cajNapWBFUdzcjhrGcOuksUns//d+AP36axWsHQ4HJpOJ6667jsDAQP08K4pCYmKiLjz64qGHXPn/iouLefDBB/XtwCVYvvHGG5SUlKAoCqNGjaqxY79QMFZ+ru72Wji7zWbjwIEDAPTs2VNfHhAQwOuvv65v07ZtW/3eHzVqlFvFaWN7zpw5uuj49f6v9R8xPNsAt391O7H3xXrNb+3atXq71G6oTG326uoTxerhT1GdZcJjOekjjF8tT+37VW9HXpRAQJDrB5ktW7bgcDjYvn0HM2bM0J2O69evr9zkBEEQhDqJOB8FQahxvn9sISnpgZiLcyE0Tg+1jsndzcUrllewtSAIQu3E0xH56d5PybXnevXT3JAacWFxLB26FIDO73em8/suwUrLv+aJoijM+nmWV5Xk8qpoa9v5K1LTqlUrDh8+TKNGjdyqU5tMJt0xl5ycTNeuXdmxY4e+vEmTJowbN46nn34agKuvvpqmTZvyzjvvEB0dzcmTJ1FVFYvFwu+//66P9eOPP3LllVdisVj0fe3Zs4d169axZcsWzGYz3bp1Y9u2bXTt2tXvMZ0PjI40o5vQuPyTTz4BYOlB13Ud/s1wGtMYgB9G/EBJUQkApiAT01dP575L7qNRo0Zs2LCBDRs2sGjRIgDatGnD1q1b3favqipfffUV7dq1Y+fOnW7XSOO1117T+4KrUrrmjPUnWNZ1/F2Xym4HZQKtyWTikUceYc6cOTz88MP8+9//RlVVXfBVFIVx48bx5ptvur2nTCYTe/fuZdOmTdx2220kJSVRVFTExRdfzKeffsquXbsA13UpLS3lwQcf1MVhI++//z4FBQV88803APTr18/rBwVVVVl9dDXg+hFDw9jesnMLad+kVfpc4Psjxwu1pJx7yM9njAuP62KygNNO6C3PEGG2evXeGBJBv5dWE2mzkFVoZ1B8EyYP7li5SQqCIAh1CsXfQ2pdon379qqWwFi48FmzZg39+vU739MQ/PD9YwvZm9VEf20Mta6O41Gud/1Crnf94kK43lpY9oA4V7ERXyHao+NHM77HeF10BNgxaofP8aJaRHHy6EkS5ieQtTmLlLkpbuvbtm3Lvn37zsKR1By+RFBtWUBAgF61uUGDBlx66aV6cZTawsMPP6yHvfoLh/3kk09ITEykwcAGZH6fScL8BIo/L2bfV/sYPnw4XR/qysrklaxIdB2boiiYzWbS0tKIiIhwy+FYEdo1nzhxIrNmzaJ58+Zs2LCBli1bEhkZyb333svMmTNrXbh7Tb+/tesybdo0AK9wZafT6SY0an2066ZtV5Pcc889vPPOO5Xu/49//IPVq1ezc+dOJk2aRI8ePRg2bBiBgYFl4fUKZxQhfS4Ja9GB4qw0SnKN+U0VWj5W/QrrXWMjdCESYHlSqoiStZAL4e+3UHkURdmqqmqP8z0PoW4j4qNQ55A/drUTze1YogThCLC5wnJUFVvxSfoen0fYwKurFWot17t+Ide7fnEhX2+jKKm5JY3ioy+MeSM9sV1soyi5yG297WIbbaa2YXT8aFocaqHnjawJLBYLJpPJq9qyyWQiMjJSLxzhiRaWXVRUxE033cQ333yDw+HgnnvuYenSpfz555/s3LmTjh070rp1awIDA3W3WG1iyZIlDBs2zE1wdDqdLFmyhMTEROLujyP5P8m6+OhJaGgoR44coVGjRoDrvAUFBdGxY0e2bNnilquvIsLDw8nJydHzda5evZp+/fq5hcO3b9+e3bt318zB1xBn4/2tnf/p06fz5JNPel0fo0Cp9TFet+nTpzNt2jQaNGhAUFAQx48fdxs/ICCAgIAAioqKfO7flwv1nGEFSrwXK1bF5+eGEqqg5p0uRhRiwpnvPe+2bduyf/9+VFXVzw3ApEmTePHFF9myZUul8jDOWLaL/205xM09LgJcgqHmZoy0WdiWkl3BCBUzrm9rESBrERfy32/BGxEfhZpAcj4KglBttErWix76kr1ZTSiwNHAJj6CH5bRo7JBKyoIg1Du0XJGa8FgZjHkjPf+1mdqG+LfjGfzZYFRV5eVfXqbrv7oSZimrNGvMG+nZ1jDmdWzRooW+vlWrVgQGBlJcXEyrVq0wmUzk5OTobrKoqCjAFb6tVcZu3bq1Hlat5c67/PLLdeHm+eef10PLu3XrphemmVjL/h6Ul//PmH8P4NUtrwLgVH0LUOHh4Rw/fpz8/HxdeARXCG1BQQFHjx5lzZo1Pp2h48eX3SutW7d221ZRFD1fZ2BgICUlLhUqKCgIVVVrnfB4NlEURb8mntdHe23sY9zu+eefByA3N5fHH38cAKvVSv/+/fW2hq/8pr6ER7PZXO3ckRotO7esuJMP4RHw+4OFJjwCPoVHgEOHDvHcc88RGhrKxo0biYmJAeDFF1+sUgGYyYM7MrNvMJMHd2Ty4I6sebQ/XzzQR/9/XN/WtGoUzLi+rfV219iISo2tsTwpteJOgiAIQq1FxEdBEKqFVsk6O62QzOJQ18LTX3DNjgKC7Zm0i0xl4MwR53GWgiAItYftd7tXy/ZXvEYjzBLmtV4L7wbIteeSa89lXtI8Xt3yqs/CFBqayHjs2DG9vWfPHr0YzuHDhykuLiYwMJDk5GQOHDjABx98gKIoZGdn69WvDx06RMOGDfW2JsZo/69evVrfZ6dOnXSR7eWXXyY5ORlVVTl06BAzZ87k0KFD7N69Wy+6UhXOtGCIVvhDURQKCwt54okn9HUPPPCAfl6M4dEmk4kNL24A0MPhja7H0NBQcnNzadq0qdu+tmzZQo8eLsPIiRMndKHLiKqqvPLKK/rrgwcP6u0HH3zQTfTq3bu3nt/RM1+kUD63TrsVcOXF1HIxBgQE6PetUTz35370JCIiwqco6Uu8DA8PxxTgfc8e2X6kcgdQTRYtWoTZ7F5txmq1YrfbCQ8PJy8vj2XLlnHq1Ck+/fTTGi8AowmSnuKkUYisSJDUwrAFQRCEuokUnBEEoVq4KlkH6uHVgP5/m6gcER0FQRB84ClAgu+8kcZwbV8h3J4VlTX3k2dhiqgWUV7708TJuUlzWbx4sVe4ttPpJDbWvYKuJsSoqsr27dv1tmfRnODgYL3itjH3o1YNGOD48eNMnjwZcAlzTz/9NN98840uJKqqytChQ/nss8+85q4xatQoPdy2OrRr144777yTp556CovFoheA+eOPP3jjjTeYMGECs2fPZtWqVfz3p/+iqiptZ7al8HChVx5ORVH4y1/+wvr16/WCQFpYtaqqdO/enV9++QWTyURcXByHDx/2OSejGzIkJITp06czfvx48vLyOHToEOBy2V2oBWXOlMLCQkJCQvyGsxsLuDS8uiFZq7JwOp107dqVDRtcLdZIEgAAIn9JREFUovKqVasICgqiqKiIkJAQ8vPzK9yvZwqCJk2akJqa6lO8zMnJgSCgCpdQex8Zi0X99a9/ZdWqVeVuZ+y/d+9ewJVOwW63s3//fhISEvT7tEOHDucl/YEmRhqZsWyXnucRJOejIAjChYKIj4IgVAl/lazD8o5QGhhObHSxCI+CIAhVwFhFW3td3npwOSDnJc0DvKtraySNTeLkUVeoriYwDv9mOOuPuhxNE6+Y6Ddk04hRRCwuLiYkJMRLANP6TJkyRc8bt379evr06QO4XFZms5nCwkKysrIAV8GZ7t278/XXX2MymXjvvffo3LkzPXr0cHMB+mLOnDksWbKkwrkb8ayWrG3funVrjh07hqqqXHnzlUTERHCi0QlUVeXNnDf187V/2n6389X+xvb89tFvBAcHs3XrVrdK5FoFcLvdroe9d+rUiZ07d3qdU6vVytatW+ncuTN33nknixcv1p2m48eP5+OPP2bOnDm0bNmy0m68Cwmj+N6CFn772Ww2Zv08i/kfzGf7v7fr97xiUvQCLqUlLrH81A9lguGGDRsIbRRKXkYeqqrq5zgyMrJS4qPFYuEvf/kLmzdvBiA1tYLw4CpeQu0+MVap9xQefRV5ysjI0IXQHj16kJWVRYMGDbjjjjto06YNhYWFVZvIOcJTkBTRURAE4cJAwq4FQag0WiXrAksDckPjCMs+SFDhCeKSv+PabqcY/d6tIjwKgiCcA8b3GM/o+NHlhm4bc0jG3udyMhqrcBtzSPrLFRkeHq6LGqGhoXpV3pSUFN5//30cDgeqqnLzzTcDcP/99+vjJyQk6MJbSUmJl9jRs2dPnnrqKX2f+/fv18OTW7VqpYdVa/+qGpqtoYVo5+TkMH36dK/1SUlJNO7YGID89HyyT2Sz4PEFAHx0w0e609FTqN371V43wRHQc2A6nU6Ki4vdwnF37Nihv1ZVVc+vZ7fbufHGG/VcmpqbVHM7njhxApPJRGpqKsuXL6/WOairzN4ym3lJ80jOTWbiFRP1cHjtfy21gKqq9F7Um3lJ88h0uELhtXtesZTlPD3+rqvAjGJV+OfCfxIeHo4lyEJeRp7Xvo8dO1apOdrtdl14rA4BIWfmBZkyZQomk8lnpfO0tDRiYmK44YYbCA8PJyoqSnf5CoIgCMK5RMRHQRAqxfePLWRfZrTrxekvk46gcK5Ke59LB0RLQRlBEIRzjFbUZtH1i3QhcnT8aEbHj8aslOV3SxqbpAtoO0btcGsnPZ1U7j5GjRqltzU3HkBsbCx33303AQEBmEwmPv/8cwC9yIrVaiUyMtJnCKwWlv3dd9/xzDPPAK7iNzNnzvTqq6oq//d//8eBAwdYvny5nqexXbt25c7bmBNy1KhRTJ8+3asIiRZ+HhwRTNDlrvx8qlMFBTD7GRgICgvS5wYQFRWli5B2u13v55ljT1EUYmNjURSFG2+8kfbt22Oz2WjZsiVWq5WCggKuu+46nE4nJpOJNm3a0KZNG1RVxel0UlRURNeuXcs97gsNY3oBTUxXrGVi4oSeE3SH48YRG93ub6NobLvY5radWqLyyohXyMnJwV5Uds3ONkqQgsnm/vWrR+fKFZA1CvsAN954IwAvvPACTqeTTz/9lKFDh6KqKi1btqRDhw44nU7S0tJwOp04nU6v6t6CIAiCcK6QsGtBECpEczyiPbcbK1nPr18uDEEQhNqIr9Bsf2HZnRt1JrskW88xOeTzIX5DWufMmUOfPn0YNmwYUCa4PfTQQ3rORc3Nd9FFF3H8+HGsViu5ubl+53rnnXd6LTt69Kjba6No2aFDB5o0KSs2oSgK+/btKwurNVTz9kRVVV577TX99ZEjR/Tq0Rr5WfnseX8PYKgK7J7KEkuYBXueHVQoynXFzWqOTK0KtcZdd93FggULCAsLY/369XTu7HKmZmZmEh0dTcuWLXnmmWe45JJLOHbsGC1btuTWW12FUIYPH87w4cP9Hk99w5heQMPzfjYrZkpVjwvmh9HxoxnfYzzDvxmuu4B3jNrh1kcJdIVp+0tJYGlswZ5mJ/a+WK/8nwDmGDOl6aV6qLcRtUhF9VixadOmCudtNptJS0sDXPed0+nkq6++0u/jNWvW0LdvX72/v7yigiAIgnC+EPFREAS/bPh8Pwe3nSD/VKTLJ326uIyiltK2QbqEWAuCINRSjIVpyitkowk785Lm0e3PbuWOqeVJHDZsGP/+97/dBMKAgABKS0tRFIV7772XDz74QM/tqCgKISEhunNSc0lq21VUQGXChAlMmFBWSMdfQZHK8Oijj/pcXnjSR/47BV1Asud6u+M0N5knixcvBuDqq6/m/vvv18PKY2NjiYiI4IEHHnBzMLZs2ZKPP/64ysdSH9Du1U/3fkqu3beg3alhJ7d0AmGWMG5t5xJzVyavJMIaoYvt2ng7T+3U+yfMT0BBwaSYKhQxk8YmYU9z3QtG4dF2sY02U9t49dfmMr7HeEpKSrDZbG73jKIo2Gw2tmzZQseOrtyGAQEBTJs2jenTpzNt2jQWLFjAgQMH9AJM2vavvfYaDzzwQLnzFQRBEITagoiPgiD4ZMPn+/ntuyOuL14mV4iZ5ngU4VEQBKH2U1EhG8+K2TtKXA4wRVFo27ZtuWMbhUgoy1Po6TScPn06Tz75JCUlJfoyq9Wqv66pys3lipgGEdEfillBURV3MbGKGqcmMhYXFwPoBW06derErl27yMvLIz8/XxdA77jjDhYuXFi1ndRDtPu4vKrwvirCa9v6wlOwTGiUQI8mPbxclp4YXZeeDuLyhH5w3fee1eF9od3HTz31lNv/giAIglCXEfFREAQ3NLdjQXouqAG629FcWkSgs1CqWQuCIFwg+KuYnTQ2iX379gEuQS2qRZRe3MNXaLbJZEJRFCIiInS3o4ZW+VpRFB5//HGef/75csOkNYKCgrj++uv59NNPAVexG2POSQCTxYTNaiM/P798EdOfiGgFNE3UCU7VJTw2a9aMP//8U+/mq5LwO++8w9ixY92Wq6rK66+/zr59+5gzZw4DBgxg5cqVnDp1Sl8vVJ/yxHRfaQfKY9H1ixj+zXB2ntpJp4adWHR9WREWXyKi1vblovQ3H0EQBEEQyhDxURAEHTe3o/bxoOV3zP2dIZ88ft7mJgiCINQsxtDszKJMPazVM6de1uYsmOsKzQ7fGe4lRGpuQc0J6XQ6WbhwoVtuxwMHDnDZZZfp7Q0bNpCYmKg7Frt168a2bdt0gW7MmDEsWLBA395TeARw2p3k2/OrfwLKzJhuwmBaWpqeV89zncY999xDUFAQRUWu/I/h4eHk5OQwc+ZMdu7cyZw5c9i0aRPBwcF6lW9FUejduzc//fRT9ecs1BhGwVGjIoFTEARBEITqIeKjIAj+3Y72AiyOPGLSt9FjQPT5nqYgCIJQwxhDWn2FnCaNTdILbxgLc0zoOYGoFlF+x7VarW6OwRYtWujt2NhYQ0fAh2nxP//5j9+xA4IDcBS4bxQQEoAj37CsglBrs9VMk+gmHDt2DIDffvuNbt1cOS8rExobEBDAu+++y4gRrkiABx54gOeff57U1FRsNhtms1mv6t2mTRv2799f4ZiCIAiCIAgXKiI+CkI9pzy3Y2zGz3Qo+oWwgVfTeOLE8zZHQRAE4exidEFGWCP0fHieLkiNpLFJnDzqqvKsKAotO7ek7x19UVWV4d8MZ9fmXaiqyl3P38WCxxfw/NrnmdJ3CgABDQNwnHIJhZqI+Ntvv5U7v+LiYoKCglBV1Ut4BNyFR6gwX2PzJs1JTk7WXw8aNEhva+HSniiKQv/+/Vm1ahUOh0MXHsFVFdxkMmG327FYLAQHB3Po0CGio+WHO0EQBEEQBBEfBaGes2/VXlADfbodew6IpvHE5ed7ioIgCMI5wBhy6qu4h6co2blRZ7eiHas3rwbg41s+1t2SCx53hU4vPLiQ2PtiSZmbQofZHcjanOVWLbgi2vVod8Y5ExVFoVu3bvz6669uwiO4Qq01PIXHI0eO0LJlS1RVZdWqVSQkJLB9u+u4L7/8cjZt2kRBQQFWq5VNmza5VbIWBEEQBEEQaqH4qCjK08A9QPrpRY+rqrrs/M1IEC5cvn9sIYWF4a5PAnE7CoIgCKfxl/vOKEp6VsvWBEe1RMV2sY2i5CKfIdvGNoDtYhuF+wvLnc+R7UfO7IBw5W789ddf9de+CskY17Vu3ZoDBw7QsmVLADfRUaN79+78+uuveoVrQRCE+sAzPxXwf98tI6FZOF880Od8T0cQhDpArRMfT/OKqqqzzvckBOFC5vvHFrI3q4n+KWB25NP8z5/E7SgIgiD4xVOU9FUtuzKEWcJoFd6KwzmH9UI32nLjayNxYXEsHboUgCGfDyE5t8y9aFbMjOw0EiirUHwuCoS8/vrrvP7662d9P4IgCLWFm17/kYO5rh9utqVkc9PrP4oAKQhChdRW8VEQhLOEVlwm/1QkmNDDrS2OAi4dEC1uR0EQBKFSGPNEeoZnZ5dkuy0bEDeAo8lH2cteL2HQM8TbV+EbQF+vtY39RnYaqY8pVYkFQRDOHjv+zCn3NcCMZbtYnpTKoPgmAHp78uCO52SOgiDUPmqr+PiAoigjgS3ABFVVM8/3hAThQsCtuIwpyLXwdMhZXJNSER4FQRCEKuEvPNuzD8CavDX069evwjHAW9D0FCw9hU8RHAVBEM4NCc3C2ZaS7fbayIxlu3hz3UEA/X+tvelgBlmFdjdRMtJm0ZeJOCkIFy7KmSbvrtZOFeUHoImPVU8Am4CTuOSR6UBTVVXH+BhjLDAWIDo6uvvixYvP3oSFWkVeXh6hoaHnexp1iozFu8gqjMIeEEypKaisuExpEZbSAiJtJ2mUWDv/2Mv1rl/I9a5fyPWuX8j1rl/I9a5fyPWuXzy1Po+UAoWWoQpPXhHstu6xdQWkFVRPY2gdppBfCt1jzABsPVFK9xgziR0Cz3jOQvXp37//VlVVe5zveQh1m/MiPlYWRVFaAd+oqppQXr/27dure/bsOTeTEs47a9b4dk4I7mjh1aasdDKLfT8MtsrazJBPHj/HM6sacr3rF3K96xdyvesXcr3rF3K96xdyvesX5V1vo/OxpugaG0FWoV1ckucJRVFEfBTOmFoXdq0oSlNVVY+ffnkzsKO8/oIglKEJjoE2CyeO5Lj8w5wWHjW3o70AiyOPmPRt9BgQfT6nKwiCIAiCIAjCBYQmCnrmfIy0WdzCtauC53b+Qrglx6Qg1F5qnfgIvKgoSldcsslh4N7zOhuhXqOJea27xgDo7d5DLz7PM3Nnw+f7SfrxGCX/3969B8dVnncc/z22ZGFYGZtYUsB2DK65GJeMMzGmJDAxNe6FmZaUFpqUSQmF0pR2Oi3RDDCZ6SUkJZ5x0jRlmuJpMiWt08QG07gD8QWwS4gBm4AKmIsxvmEbJEGxJWEh6/L0j3POene1kmXtObtntd/PjEdnz56zfg+PJd756b0cGwgDx97gjTBwlHRibceBXbqgfbMal1/NGo8AAAAAYnXXNQvygr/ouNhGNNFoxlMNJ6NrC9eVzD1e/ex+3XjZ3OzfRSAJVE7qwkd3/0Kl2wBI+ZuzvLBpf3AyPN63daf6evrVkKnX0PQmzVvUrA+efVYHOxs0u6lPy1fcWJb2DR/lqKKBY2PPAQ02NAZtu//Lkr6cePsAAAAAIDJSKBkZKZwc74jJ7r7BMW16QygJJC914SOQFm88sUvyhvwwLzx+vy8j1UvH+iS19+qFjfslfVSql3YdkXTn6kQCyOKBY8EoxyhwPLpH/VMyau5s05JlTWppvTn29gAAAABAHE42YnK8oyRzjTRiklASSBbhIzCCmZ1t6pl+2YngUco/jsK+IuHkm+9NV/tfbxs2XTs6bphar77e/jFN4R5T4JjTtskDH2jW4Z9rYWavhtq7mF4NAAAAoGoVhpJS8VGS0fEPtx9Q14cDp/R3jDaNmwASKB3hI1Bg852rdbCzQS0NDfrYgU3qaFqk5s42SVJH0yLVH+9R95nzhoV+uceDk0/T0fbeYdO1o+MoPMydwj27qU9nXHZZXlA51nUcc0c5XvDeVk2/4Xq1tK6I/z8OAAAAAFTYaFO477pmQWxTuDfsfIfwEYgB4SOQY/Odq7XrSDB9em/9DJ3X1KbPtD+gxuVXS5K6NwfHL3a+o7fa61T3YVc29Jvc1Kz2urk6Pvl0DUwqPl0777hgCveuI5I2BgFlflCpkwaO+aMcn03+PxQAAAAApNSpbnozUigZXQegNISPQI6DnQ1SvbJhX3vdXF2zcUP2/Wj68vLwdfvKlere/FAY+gWbuDzy+3+vfaNN1y42YvJkQeVJA0dGOQIAAADAaE4llGTNRyA+hI+ActZVzNQHm8iEYd/spr5R72tpbR22nuLiS6do6PHh07ULp273T8kMn8ItFT0uvo4jgSMAAAAAlOpkO3EDKA3hI2retnW7g2nOLskymtHQk12DcTw7Vre0tmqJVmanaEsadjxp2rRsiPhi5zvBGpMD+zXY2VE0tGQdRwAAAAAAUI0IH1HTtq3brbZN+yS37BTn/qF63fz9a0v63MIRkSMdSyemcEvRNO7hoSXrOAIAAAAAgGpE+IiadWLEowUnwinOMzvbJF1TkTaNFloCAAAAAABUm0mVbgBQKW88sSucah2EjzY0qI8d2KTFl06pbMMAAAAAAAAmCEY+ouZEm8tY97vSabOyIx7nHN6iJcuaGG0IAAAAAAAQE8JH1JS8zWVOm6XGo3vUPyWj5s42gkcAAAAAAICYET6iJkSjHY91dktel91cZjDzEX3mrVXhpi4EjwAAAAAAAHEifMSEFQWODVPr1bG/KxjtGP2TD6daN3e/pvkbN1SsjQAAAAAAABMZ4SMmpLzp1eoNToajHSf3H1P9QI+aO9u0eFlTJZsJAAAAAAAwoRE+YsLZtm632jbtk9yygaOk7NfZ723XRR/uYKo1AAAAAABAwggfMaGcGPFowYkwcMzdWObSZU1qaWWqNQAAAAAAQNIIHzEhjLShjA0Nas7Bx7Uws1dD7V2MdgQAAAAAACgjwkdUvfz1HfM3lJlzeIuWLGtSS+uKirUPAAAAAACgVhE+omqNNNoxd0OZIHhkpCMAAAAAAEAlED6iqmxbt1u7tg2p8+kd6tjfVXS0IxvKAAAAAAAApAPhI6rCtnW7tfOpQzp+bEByqaO7K3ijyGhHNpQBAAAAAABIB8JHpF7+mo7KBo6SGO0IAAAAAACQYoSPSK2R1nSMAsfGo3vUPyXDaEcAAAAAAICUInxEKo22g/XkgQ806/DPtTCzV0PtXYx2BAAAAAAASCnCR6TKWHawPu+dzWq68Q/U0rqi0s0FAAAAAADAKAgfUXFR4NgwtX5MO1i/uvhb+uWlSyvVXAAAAAAAAIwR4SMqpnAHa6k3eOMkO1i/unVrpZo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      "text/plain": [
       "<Figure size 1440x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(20,8))\n",
    "lat_lim = [50.34, 50.52]\n",
    "for i in list_corr:\n",
    "    ax.plot(df.Latitude, df[i], '.', label=i)\n",
    "    for idx, row in df.iterrows():\n",
    "        if (lat_lim[0]<=row.Latitude<=lat_lim[1]) and (i == 'AltCorr'):\n",
    "            ax.text(row.Latitude, row[i], row['Station_ID'])\n",
    "ax.set_xlim(lat_lim)\n",
    "ax.set_ylabel(units)\n",
    "ax.grid('on')\n",
    "fig.legend()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7fb83f46-3a2f-4cb2-a9f6-48af308e1f72",
   "metadata": {},
   "source": [
    "### Apply corrections to the measurements"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "b7281377-8f2f-423c-a869-b9c8a5b047bd",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['Bouguer'] = df['InstrCorrGrav']+df['LatCorr']+df['AtmCorr']+df['AltCorr']+df['BougSphCapCorr']+df['TideCorr']"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "000b06a5-3b7c-4f31-9039-3df5ea9a6298",
   "metadata": {},
   "source": [
    "### Display the effects of corrections"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7ffbdb25-ed46-489c-a62f-a3a8ce92af6e",
   "metadata": {},
   "source": [
    "In time..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "d07ddeb1-78f4-41a4-98c0-7a46b5ee1b67",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, '[mGal]')"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(nrows=1, figsize=(20,6))\n",
    "df['InstrCorrGrav'].plot(marker='o', linestyle='none', label='raw')\n",
    "df['Bouguer'].plot(marker='.', alpha=0.5, linestyle='none', label='corrected')\n",
    "ax.legend()\n",
    "ax.set_ylabel('[mGal]')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "38aecdc8-6f7a-45f4-b4a3-acde9acea4f3",
   "metadata": {},
   "source": [
    "In space..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "952fcfe8-a7e4-49f5-936c-2dec89ae8d0f",
   "metadata": {},
   "outputs": [],
   "source": [
    "gdf = gpd.GeoDataFrame(df, geometry=df['geometry'].apply(lambda x: shapely.wkt.loads(x)), crs='epsg:4326')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "6066d4f4-e230-4b73-9bc9-b94a5864eb73",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x432 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(ncols=2, figsize=(20,6))\n",
    "gdf.plot(column='InstrCorrGrav', ax=ax[0], vmin=4290., vmax=4310, cmap='jet', legend=True)\n",
    "gdf.plot(column='Bouguer', ax=ax[1], vmin=4290., vmax=4310, cmap='jet', legend=True)\n",
    "ax[0].grid('on')\n",
    "ax[1].grid('on')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "68cf934d",
   "metadata": {
    "nbsphinx-thumbnail": {
     "tooltip": "This tooltip message was defined in cell metadata"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(ncols=1, figsize=(10,6))\n",
    "gdf.plot(column='Bouguer', ax=ax, vmin=4290., vmax=4310, cmap='jet', legend=True)\n",
    "ax.grid('on')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "80ae7fa4",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "celltoolbar": "Edit 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": "3.8.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}