{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "cEG8oC1-DH1i",
   "metadata": {
    "id": "cEG8oC1-DH1i"
   },
   "source": [
    "## DGGRIDPandas key features\n",
    "\n",
    "You can try out vgridpandas by using the cloud-computing platforms below without having to install anything on your computer:\n",
    "\n",
    "[![image](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/opengeoshub/vgridpandas/blob/main/docs/notebooks/06_dggrid.ipynb)\n",
    "[![image](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/opengeoshub/vgridpandas/HEAD?filepath=docs/notebooks/06_dggrid.ipynb)\n",
    "[![image](https://studiolab.sagemaker.aws/studiolab.svg)](https://studiolab.sagemaker.aws/import/github/opengeoshub/vgridpandas/blob/main/docs/notebooks/06_dggrid.ipynb)\n",
    "[![image](https://jupyterlite.rtfd.io/en/latest/_static/badge.svg)](https://jupyterlite.gishub.vn/lab/index.html?path=notebooks/vgridpandas/06_dggrid.ipynb)\n",
    "\n",
    "Full VgridPandas DGGS documentation is available at [vgridpandas document](https://vgridpandas.gishub.vn).\n",
    "\n",
    "To work with Vgrid in Python or CLI, use [vgrid](https://pypi.org/project/vgrid/) package. Full Vgrid DGGS documentation is available at [vgrid document](https://vgrid.gishub.vn).\n",
    "\n",
    "To work with Vgrid DGGS in QGIS, install the [Vgrid Plugin](https://plugins.qgis.org/plugins/vgridtools/).\n",
    "\n",
    "To visualize DGGS in Maplibre GL JS, try the [vgrid-maplibre](https://www.npmjs.com/package/vgrid-maplibre) library.\n",
    "\n",
    "For an interactive demo, visit the [Vgrid Homepage](https://vgrid.vn)."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f1F_bDvUDH1k",
   "metadata": {
    "id": "f1F_bDvUDH1k"
   },
   "source": [
    "### Install vgridpandas\n",
    "Uncomment the following line to install [vgridpandas](https://pypi.org/project/vgridpandas/)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4oQyH0cCDH1k",
   "metadata": {
    "id": "4oQyH0cCDH1k"
   },
   "outputs": [],
   "source": [
    "# %pip install vgridpandas"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "MDYYnyKUDH1l",
   "metadata": {
    "id": "MDYYnyKUDH1l"
   },
   "source": [
    "### DGGRID setup"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "Z-wuhCkrDH1l",
   "metadata": {
    "executionInfo": {
     "elapsed": 2251,
     "status": "ok",
     "timestamp": 1779604500224,
     "user": {
      "displayName": "",
      "userId": ""
     },
     "user_tz": -420
    },
    "id": "Z-wuhCkrDH1l"
   },
   "outputs": [],
   "source": [
    "from dggrid4py import tool, DGGRIDv8\n",
    "\n",
    "dggrid_exec = tool.get_portable_executable('.')\n",
    "\n",
    "dggrid_instance = DGGRIDv8(\n",
    "    executable=dggrid_exec,\n",
    "    working_dir='.',\n",
    "    capture_logs=False,\n",
    "    silent=True,\n",
    "    has_gdal=False,\n",
    "    tmp_geo_out_legacy=True,\n",
    "    debug=False,\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "312f2cbe",
   "metadata": {
    "id": "312f2cbe"
   },
   "source": [
    "### Import dggridpandas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "6936f285",
   "metadata": {
    "executionInfo": {
     "elapsed": 1249,
     "status": "ok",
     "timestamp": 1779604503708,
     "user": {
      "displayName": "",
      "userId": ""
     },
     "user_tz": -420
    },
    "id": "6936f285"
   },
   "outputs": [],
   "source": [
    "from vgridpandas import dggridpandas\n",
    "dggs_type = \"ISEA3H\"\n",
    "address_type = \"SEQNUM\""
   ]
  },
  {
   "cell_type": "markdown",
   "id": "O5RXgTUoDH1m",
   "metadata": {
    "id": "O5RXgTUoDH1m"
   },
   "source": [
    "### Latlon to DGGRID"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "z51DmsWKDH1m",
   "metadata": {
    "id": "z51DmsWKDH1m"
   },
   "source": [
    "#### Pandas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "ysoXvQJiDH1m",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 443
    },
    "executionInfo": {
     "elapsed": 304345,
     "status": "ok",
     "timestamp": 1779595021604,
     "user": {
      "displayName": "",
      "userId": ""
     },
     "user_tz": -420
    },
    "id": "ysoXvQJiDH1m",
    "outputId": "d6fae3fb-7cf6-435c-a4f6-4d1a9f6a0b70"
   },
   "outputs": [
    {
     "data": {
      "application/vnd.google.colaboratory.intrinsic+json": {
       "summary": "{\n  \"name\": \"df\",\n  \"rows\": 20640,\n  \"fields\": [\n    {\n      \"column\": \"lon\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 2.003531723502581,\n        \"min\": -124.35,\n        \"max\": -114.31,\n        \"num_unique_values\": 844,\n        \"samples\": [\n          -118.63,\n          -119.86,\n          -121.26\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"lat\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 2.1359523974571117,\n        \"min\": 32.54,\n        \"max\": 41.95,\n        \"num_unique_values\": 862,\n        \"samples\": [\n          33.7,\n          34.41,\n          38.24\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"housing_median_age\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 12,\n        \"min\": 1,\n        \"max\": 52,\n        \"num_unique_values\": 52,\n        \"samples\": [\n          35,\n          25,\n          7\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"total_rooms\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 2181,\n        \"min\": 2,\n        \"max\": 39320,\n        \"num_unique_values\": 5926,\n        \"samples\": [\n          699,\n          1544,\n          3966\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"total_bedrooms\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 421.3850700740322,\n        \"min\": 1.0,\n        \"max\": 6445.0,\n        \"num_unique_values\": 1923,\n        \"samples\": [\n          1538.0,\n          1298.0,\n          1578.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"population\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1132,\n        \"min\": 3,\n        \"max\": 35682,\n        \"num_unique_values\": 3888,\n        \"samples\": [\n          4169,\n          636,\n          3367\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"households\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 382,\n        \"min\": 1,\n        \"max\": 6082,\n        \"num_unique_values\": 1815,\n        \"samples\": [\n          21,\n          750,\n          1447\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"median_income\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.8998217179452732,\n        \"min\": 0.4999,\n        \"max\": 15.0001,\n        \"num_unique_values\": 12928,\n        \"samples\": [\n          5.0286,\n          2.0433,\n          6.1228\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"median_house_value\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 115395,\n        \"min\": 14999,\n        \"max\": 500001,\n        \"num_unique_values\": 3842,\n        \"samples\": [\n          194300,\n          379000,\n          230100\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"ocean_proximity\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \"<1H OCEAN\",\n          \"ISLAND\",\n          \"INLAND\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"dggrid_isea3h\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 409,\n        \"samples\": [\n          \"39950\",\n          \"36780\",\n          \"42385\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"dggrid_isea3h_res\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 10,\n        \"max\": 10,\n        \"num_unique_values\": 1,\n        \"samples\": [\n          10\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}",
       "type": "dataframe",
       "variable_name": "df"
      },
      "text/html": [
       "\n",
       "  <div id=\"df-ffd72299-2549-4c5d-8e8b-97ef69f2ec46\" class=\"colab-df-container\">\n",
       "    <div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>lon</th>\n",
       "      <th>lat</th>\n",
       "      <th>housing_median_age</th>\n",
       "      <th>total_rooms</th>\n",
       "      <th>total_bedrooms</th>\n",
       "      <th>population</th>\n",
       "      <th>households</th>\n",
       "      <th>median_income</th>\n",
       "      <th>median_house_value</th>\n",
       "      <th>ocean_proximity</th>\n",
       "      <th>dggrid_isea3h</th>\n",
       "      <th>dggrid_isea3h_res</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>-122.23</td>\n",
       "      <td>37.88</td>\n",
       "      <td>41</td>\n",
       "      <td>880</td>\n",
       "      <td>129.0</td>\n",
       "      <td>322</td>\n",
       "      <td>126</td>\n",
       "      <td>8.3252</td>\n",
       "      <td>452600</td>\n",
       "      <td>NEAR BAY</td>\n",
       "      <td>38240</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-122.22</td>\n",
       "      <td>37.86</td>\n",
       "      <td>21</td>\n",
       "      <td>7099</td>\n",
       "      <td>1106.0</td>\n",
       "      <td>2401</td>\n",
       "      <td>1138</td>\n",
       "      <td>8.3014</td>\n",
       "      <td>358500</td>\n",
       "      <td>NEAR BAY</td>\n",
       "      <td>38240</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>-122.24</td>\n",
       "      <td>37.85</td>\n",
       "      <td>52</td>\n",
       "      <td>1467</td>\n",
       "      <td>190.0</td>\n",
       "      <td>496</td>\n",
       "      <td>177</td>\n",
       "      <td>7.2574</td>\n",
       "      <td>352100</td>\n",
       "      <td>NEAR BAY</td>\n",
       "      <td>38240</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>-122.25</td>\n",
       "      <td>37.85</td>\n",
       "      <td>52</td>\n",
       "      <td>1274</td>\n",
       "      <td>235.0</td>\n",
       "      <td>558</td>\n",
       "      <td>219</td>\n",
       "      <td>5.6431</td>\n",
       "      <td>341300</td>\n",
       "      <td>NEAR BAY</td>\n",
       "      <td>38240</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>-122.25</td>\n",
       "      <td>37.85</td>\n",
       "      <td>52</td>\n",
       "      <td>1627</td>\n",
       "      <td>280.0</td>\n",
       "      <td>565</td>\n",
       "      <td>259</td>\n",
       "      <td>3.8462</td>\n",
       "      <td>342200</td>\n",
       "      <td>NEAR BAY</td>\n",
       "      <td>38240</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20635</th>\n",
       "      <td>-121.09</td>\n",
       "      <td>39.48</td>\n",
       "      <td>25</td>\n",
       "      <td>1665</td>\n",
       "      <td>374.0</td>\n",
       "      <td>845</td>\n",
       "      <td>330</td>\n",
       "      <td>1.5603</td>\n",
       "      <td>78100</td>\n",
       "      <td>INLAND</td>\n",
       "      <td>37515</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20636</th>\n",
       "      <td>-121.21</td>\n",
       "      <td>39.49</td>\n",
       "      <td>18</td>\n",
       "      <td>697</td>\n",
       "      <td>150.0</td>\n",
       "      <td>356</td>\n",
       "      <td>114</td>\n",
       "      <td>2.5568</td>\n",
       "      <td>77100</td>\n",
       "      <td>INLAND</td>\n",
       "      <td>37515</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20637</th>\n",
       "      <td>-121.22</td>\n",
       "      <td>39.43</td>\n",
       "      <td>17</td>\n",
       "      <td>2254</td>\n",
       "      <td>485.0</td>\n",
       "      <td>1007</td>\n",
       "      <td>433</td>\n",
       "      <td>1.7000</td>\n",
       "      <td>92300</td>\n",
       "      <td>INLAND</td>\n",
       "      <td>37515</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20638</th>\n",
       "      <td>-121.32</td>\n",
       "      <td>39.43</td>\n",
       "      <td>18</td>\n",
       "      <td>1860</td>\n",
       "      <td>409.0</td>\n",
       "      <td>741</td>\n",
       "      <td>349</td>\n",
       "      <td>1.8672</td>\n",
       "      <td>84700</td>\n",
       "      <td>INLAND</td>\n",
       "      <td>37515</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20639</th>\n",
       "      <td>-121.24</td>\n",
       "      <td>39.37</td>\n",
       "      <td>16</td>\n",
       "      <td>2785</td>\n",
       "      <td>616.0</td>\n",
       "      <td>1387</td>\n",
       "      <td>530</td>\n",
       "      <td>2.3886</td>\n",
       "      <td>89400</td>\n",
       "      <td>INLAND</td>\n",
       "      <td>37515</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>20640 rows × 12 columns</p>\n",
       "</div>\n",
       "    <div class=\"colab-df-buttons\">\n",
       "\n",
       "  <div class=\"colab-df-container\">\n",
       "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-ffd72299-2549-4c5d-8e8b-97ef69f2ec46')\"\n",
       "            title=\"Convert this dataframe to an interactive table.\"\n",
       "            style=\"display:none;\">\n",
       "\n",
       "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
       "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
       "  </svg>\n",
       "    </button>\n",
       "\n",
       "  <style>\n",
       "    .colab-df-container {\n",
       "      display:flex;\n",
       "      gap: 12px;\n",
       "    }\n",
       "\n",
       "    .colab-df-convert {\n",
       "      background-color: #E8F0FE;\n",
       "      border: none;\n",
       "      border-radius: 50%;\n",
       "      cursor: pointer;\n",
       "      display: none;\n",
       "      fill: #1967D2;\n",
       "      height: 32px;\n",
       "      padding: 0 0 0 0;\n",
       "      width: 32px;\n",
       "    }\n",
       "\n",
       "    .colab-df-convert:hover {\n",
       "      background-color: #E2EBFA;\n",
       "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
       "      fill: #174EA6;\n",
       "    }\n",
       "\n",
       "    .colab-df-buttons div {\n",
       "      margin-bottom: 4px;\n",
       "    }\n",
       "\n",
       "    [theme=dark] .colab-df-convert {\n",
       "      background-color: #3B4455;\n",
       "      fill: #D2E3FC;\n",
       "    }\n",
       "\n",
       "    [theme=dark] .colab-df-convert:hover {\n",
       "      background-color: #434B5C;\n",
       "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
       "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
       "      fill: #FFFFFF;\n",
       "    }\n",
       "  </style>\n",
       "\n",
       "    <script>\n",
       "      const buttonEl =\n",
       "        document.querySelector('#df-ffd72299-2549-4c5d-8e8b-97ef69f2ec46 button.colab-df-convert');\n",
       "      buttonEl.style.display =\n",
       "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
       "\n",
       "      async function convertToInteractive(key) {\n",
       "        const element = document.querySelector('#df-ffd72299-2549-4c5d-8e8b-97ef69f2ec46');\n",
       "        const dataTable =\n",
       "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
       "                                                    [key], {});\n",
       "        if (!dataTable) return;\n",
       "\n",
       "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
       "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
       "          + ' to learn more about interactive tables.';\n",
       "        element.innerHTML = '';\n",
       "        dataTable['output_type'] = 'display_data';\n",
       "        await google.colab.output.renderOutput(dataTable, element);\n",
       "        const docLink = document.createElement('div');\n",
       "        docLink.innerHTML = docLinkHtml;\n",
       "        element.appendChild(docLink);\n",
       "      }\n",
       "    </script>\n",
       "  </div>\n",
       "\n",
       "\n",
       "  <div id=\"id_8e532c2c-806b-4441-a945-eeb59ffddcb8\">\n",
       "    <style>\n",
       "      .colab-df-generate {\n",
       "        background-color: #E8F0FE;\n",
       "        border: none;\n",
       "        border-radius: 50%;\n",
       "        cursor: pointer;\n",
       "        display: none;\n",
       "        fill: #1967D2;\n",
       "        height: 32px;\n",
       "        padding: 0 0 0 0;\n",
       "        width: 32px;\n",
       "      }\n",
       "\n",
       "      .colab-df-generate:hover {\n",
       "        background-color: #E2EBFA;\n",
       "        box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
       "        fill: #174EA6;\n",
       "      }\n",
       "\n",
       "      [theme=dark] .colab-df-generate {\n",
       "        background-color: #3B4455;\n",
       "        fill: #D2E3FC;\n",
       "      }\n",
       "\n",
       "      [theme=dark] .colab-df-generate:hover {\n",
       "        background-color: #434B5C;\n",
       "        box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
       "        filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
       "        fill: #FFFFFF;\n",
       "      }\n",
       "    </style>\n",
       "    <button class=\"colab-df-generate\" onclick=\"generateWithVariable('df')\"\n",
       "            title=\"Generate code using this dataframe.\"\n",
       "            style=\"display:none;\">\n",
       "\n",
       "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
       "       width=\"24px\">\n",
       "    <path d=\"M7,19H8.4L18.45,9,17,7.55,7,17.6ZM5,21V16.75L18.45,3.32a2,2,0,0,1,2.83,0l1.4,1.43a1.91,1.91,0,0,1,.58,1.4,1.91,1.91,0,0,1-.58,1.4L9.25,21ZM18.45,9,17,7.55Zm-12,3A5.31,5.31,0,0,0,4.9,8.1,5.31,5.31,0,0,0,1,6.5,5.31,5.31,0,0,0,4.9,4.9,5.31,5.31,0,0,0,6.5,1,5.31,5.31,0,0,0,8.1,4.9,5.31,5.31,0,0,0,12,6.5,5.46,5.46,0,0,0,6.5,12Z\"/>\n",
       "  </svg>\n",
       "    </button>\n",
       "    <script>\n",
       "      (() => {\n",
       "      const buttonEl =\n",
       "        document.querySelector('#id_8e532c2c-806b-4441-a945-eeb59ffddcb8 button.colab-df-generate');\n",
       "      buttonEl.style.display =\n",
       "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
       "\n",
       "      buttonEl.onclick = () => {\n",
       "        google.colab.notebook.generateWithVariable('df');\n",
       "      }\n",
       "      })();\n",
       "    </script>\n",
       "  </div>\n",
       "\n",
       "    </div>\n",
       "  </div>\n"
      ],
      "text/plain": [
       "          lon    lat  housing_median_age  total_rooms  total_bedrooms  \\\n",
       "0     -122.23  37.88                  41          880           129.0   \n",
       "1     -122.22  37.86                  21         7099          1106.0   \n",
       "2     -122.24  37.85                  52         1467           190.0   \n",
       "3     -122.25  37.85                  52         1274           235.0   \n",
       "4     -122.25  37.85                  52         1627           280.0   \n",
       "...       ...    ...                 ...          ...             ...   \n",
       "20635 -121.09  39.48                  25         1665           374.0   \n",
       "20636 -121.21  39.49                  18          697           150.0   \n",
       "20637 -121.22  39.43                  17         2254           485.0   \n",
       "20638 -121.32  39.43                  18         1860           409.0   \n",
       "20639 -121.24  39.37                  16         2785           616.0   \n",
       "\n",
       "       population  households  median_income  median_house_value  \\\n",
       "0             322         126         8.3252              452600   \n",
       "1            2401        1138         8.3014              358500   \n",
       "2             496         177         7.2574              352100   \n",
       "3             558         219         5.6431              341300   \n",
       "4             565         259         3.8462              342200   \n",
       "...           ...         ...            ...                 ...   \n",
       "20635         845         330         1.5603               78100   \n",
       "20636         356         114         2.5568               77100   \n",
       "20637        1007         433         1.7000               92300   \n",
       "20638         741         349         1.8672               84700   \n",
       "20639        1387         530         2.3886               89400   \n",
       "\n",
       "      ocean_proximity dggrid_isea3h  dggrid_isea3h_res  \n",
       "0            NEAR BAY         38240                 10  \n",
       "1            NEAR BAY         38240                 10  \n",
       "2            NEAR BAY         38240                 10  \n",
       "3            NEAR BAY         38240                 10  \n",
       "4            NEAR BAY         38240                 10  \n",
       "...               ...           ...                ...  \n",
       "20635          INLAND         37515                 10  \n",
       "20636          INLAND         37515                 10  \n",
       "20637          INLAND         37515                 10  \n",
       "20638          INLAND         37515                 10  \n",
       "20639          INLAND         37515                 10  \n",
       "\n",
       "[20640 rows x 12 columns]"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "df = pd.read_csv('https://raw.githubusercontent.com/opengeoshub/vopendata/main/csv/housing.csv')\n",
    "resolution = 10\n",
    "df = df.dggrid.latlon2dggrid(dggrid_instance, dggs_type, resolution, lat_col='lat', lon_col='lon', address_type=address_type)\n",
    "df\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "NmZ5IXC1DH1m",
   "metadata": {
    "id": "NmZ5IXC1DH1m"
   },
   "source": [
    "#### GeoPandas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "00XHUYZhDH1n",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 790
    },
    "executionInfo": {
     "elapsed": 295482,
     "status": "ok",
     "timestamp": 1779595317312,
     "user": {
      "displayName": "",
      "userId": ""
     },
     "user_tz": -420
    },
    "id": "00XHUYZhDH1n",
    "outputId": "b77cd682-3f1e-4575-e2fc-dfcbb1a9c08b"
   },
   "outputs": [
    {
     "data": {
      "application/vnd.google.colaboratory.intrinsic+json": {
       "summary": "{\n  \"name\": \"df\",\n  \"rows\": 20640,\n  \"fields\": [\n    {\n      \"column\": \"longitude\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 2.003531723502581,\n        \"min\": -124.35,\n        \"max\": -114.31,\n        \"num_unique_values\": 844,\n        \"samples\": [\n          -118.63,\n          -119.86,\n          -121.26\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"latitude\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 2.1359523974571117,\n        \"min\": 32.54,\n        \"max\": 41.95,\n        \"num_unique_values\": 862,\n        \"samples\": [\n          33.7,\n          34.41,\n          38.24\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"housing_median_age\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 12.585557612111637,\n        \"min\": 1.0,\n        \"max\": 52.0,\n        \"num_unique_values\": 52,\n        \"samples\": [\n          35.0,\n          25.0,\n          7.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"total_rooms\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 2181.615251582787,\n        \"min\": 2.0,\n        \"max\": 39320.0,\n        \"num_unique_values\": 5926,\n        \"samples\": [\n          699.0,\n          1544.0,\n          3966.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"total_bedrooms\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 421.3850700740322,\n        \"min\": 1.0,\n        \"max\": 6445.0,\n        \"num_unique_values\": 1923,\n        \"samples\": [\n          1538.0,\n          1298.0,\n          1578.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"population\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1132.4621217653375,\n        \"min\": 3.0,\n        \"max\": 35682.0,\n        \"num_unique_values\": 3888,\n        \"samples\": [\n          4169.0,\n          636.0,\n          3367.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"households\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 382.3297528316099,\n        \"min\": 1.0,\n        \"max\": 6082.0,\n        \"num_unique_values\": 1815,\n        \"samples\": [\n          21.0,\n          750.0,\n          1447.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"median_income\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.8998217179452732,\n        \"min\": 0.4999,\n        \"max\": 15.0001,\n        \"num_unique_values\": 12928,\n        \"samples\": [\n          5.0286,\n          2.0433,\n          6.1228\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"median_house_value\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 115395.6158744132,\n        \"min\": 14999.0,\n        \"max\": 500001.0,\n        \"num_unique_values\": 3842,\n        \"samples\": [\n          194300.0,\n          379000.0,\n          230100.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"ocean_proximity\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \"<1H OCEAN\",\n          \"ISLAND\",\n          \"INLAND\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"geometry\",\n      \"properties\": {\n        \"dtype\": \"geometry\",\n        \"num_unique_values\": 12590,\n        \"samples\": [\n          \"POINT (-116.99 32.8)\",\n          \"POINT (-122.17 40.2)\",\n          \"POINT (-118.45 34.06)\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"dggrid_isea3h\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 409,\n        \"samples\": [\n          \"39950\",\n          \"36780\",\n          \"42385\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"dggrid_isea3h_res\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 10,\n        \"max\": 10,\n        \"num_unique_values\": 1,\n        \"samples\": [\n          10\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}",
       "type": "dataframe",
       "variable_name": "df"
      },
      "text/html": [
       "\n",
       "  <div id=\"df-1acae14a-adcb-4fb0-9bdf-ccfd6400eb87\" class=\"colab-df-container\">\n",
       "    <div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>longitude</th>\n",
       "      <th>latitude</th>\n",
       "      <th>housing_median_age</th>\n",
       "      <th>total_rooms</th>\n",
       "      <th>total_bedrooms</th>\n",
       "      <th>population</th>\n",
       "      <th>households</th>\n",
       "      <th>median_income</th>\n",
       "      <th>median_house_value</th>\n",
       "      <th>ocean_proximity</th>\n",
       "      <th>geometry</th>\n",
       "      <th>dggrid_isea3h</th>\n",
       "      <th>dggrid_isea3h_res</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>-122.23</td>\n",
       "      <td>37.88</td>\n",
       "      <td>41.0</td>\n",
       "      <td>880.0</td>\n",
       "      <td>129.0</td>\n",
       "      <td>322.0</td>\n",
       "      <td>126.0</td>\n",
       "      <td>8.3252</td>\n",
       "      <td>452600.0</td>\n",
       "      <td>NEAR BAY</td>\n",
       "      <td>POINT (-122.23 37.88)</td>\n",
       "      <td>38240</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-122.22</td>\n",
       "      <td>37.86</td>\n",
       "      <td>21.0</td>\n",
       "      <td>7099.0</td>\n",
       "      <td>1106.0</td>\n",
       "      <td>2401.0</td>\n",
       "      <td>1138.0</td>\n",
       "      <td>8.3014</td>\n",
       "      <td>358500.0</td>\n",
       "      <td>NEAR BAY</td>\n",
       "      <td>POINT (-122.22 37.86)</td>\n",
       "      <td>38240</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>-122.24</td>\n",
       "      <td>37.85</td>\n",
       "      <td>52.0</td>\n",
       "      <td>1467.0</td>\n",
       "      <td>190.0</td>\n",
       "      <td>496.0</td>\n",
       "      <td>177.0</td>\n",
       "      <td>7.2574</td>\n",
       "      <td>352100.0</td>\n",
       "      <td>NEAR BAY</td>\n",
       "      <td>POINT (-122.24 37.85)</td>\n",
       "      <td>38240</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>-122.25</td>\n",
       "      <td>37.85</td>\n",
       "      <td>52.0</td>\n",
       "      <td>1274.0</td>\n",
       "      <td>235.0</td>\n",
       "      <td>558.0</td>\n",
       "      <td>219.0</td>\n",
       "      <td>5.6431</td>\n",
       "      <td>341300.0</td>\n",
       "      <td>NEAR BAY</td>\n",
       "      <td>POINT (-122.25 37.85)</td>\n",
       "      <td>38240</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>-122.25</td>\n",
       "      <td>37.85</td>\n",
       "      <td>52.0</td>\n",
       "      <td>1627.0</td>\n",
       "      <td>280.0</td>\n",
       "      <td>565.0</td>\n",
       "      <td>259.0</td>\n",
       "      <td>3.8462</td>\n",
       "      <td>342200.0</td>\n",
       "      <td>NEAR BAY</td>\n",
       "      <td>POINT (-122.25 37.85)</td>\n",
       "      <td>38240</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20635</th>\n",
       "      <td>-121.09</td>\n",
       "      <td>39.48</td>\n",
       "      <td>25.0</td>\n",
       "      <td>1665.0</td>\n",
       "      <td>374.0</td>\n",
       "      <td>845.0</td>\n",
       "      <td>330.0</td>\n",
       "      <td>1.5603</td>\n",
       "      <td>78100.0</td>\n",
       "      <td>INLAND</td>\n",
       "      <td>POINT (-121.09 39.48)</td>\n",
       "      <td>37515</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20636</th>\n",
       "      <td>-121.21</td>\n",
       "      <td>39.49</td>\n",
       "      <td>18.0</td>\n",
       "      <td>697.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>356.0</td>\n",
       "      <td>114.0</td>\n",
       "      <td>2.5568</td>\n",
       "      <td>77100.0</td>\n",
       "      <td>INLAND</td>\n",
       "      <td>POINT (-121.21 39.49)</td>\n",
       "      <td>37515</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20637</th>\n",
       "      <td>-121.22</td>\n",
       "      <td>39.43</td>\n",
       "      <td>17.0</td>\n",
       "      <td>2254.0</td>\n",
       "      <td>485.0</td>\n",
       "      <td>1007.0</td>\n",
       "      <td>433.0</td>\n",
       "      <td>1.7000</td>\n",
       "      <td>92300.0</td>\n",
       "      <td>INLAND</td>\n",
       "      <td>POINT (-121.22 39.43)</td>\n",
       "      <td>37515</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20638</th>\n",
       "      <td>-121.32</td>\n",
       "      <td>39.43</td>\n",
       "      <td>18.0</td>\n",
       "      <td>1860.0</td>\n",
       "      <td>409.0</td>\n",
       "      <td>741.0</td>\n",
       "      <td>349.0</td>\n",
       "      <td>1.8672</td>\n",
       "      <td>84700.0</td>\n",
       "      <td>INLAND</td>\n",
       "      <td>POINT (-121.32 39.43)</td>\n",
       "      <td>37515</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20639</th>\n",
       "      <td>-121.24</td>\n",
       "      <td>39.37</td>\n",
       "      <td>16.0</td>\n",
       "      <td>2785.0</td>\n",
       "      <td>616.0</td>\n",
       "      <td>1387.0</td>\n",
       "      <td>530.0</td>\n",
       "      <td>2.3886</td>\n",
       "      <td>89400.0</td>\n",
       "      <td>INLAND</td>\n",
       "      <td>POINT (-121.24 39.37)</td>\n",
       "      <td>37515</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>20640 rows × 13 columns</p>\n",
       "</div>\n",
       "    <div class=\"colab-df-buttons\">\n",
       "\n",
       "  <div class=\"colab-df-container\">\n",
       "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-1acae14a-adcb-4fb0-9bdf-ccfd6400eb87')\"\n",
       "            title=\"Convert this dataframe to an interactive table.\"\n",
       "            style=\"display:none;\">\n",
       "\n",
       "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
       "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
       "  </svg>\n",
       "    </button>\n",
       "\n",
       "  <style>\n",
       "    .colab-df-container {\n",
       "      display:flex;\n",
       "      gap: 12px;\n",
       "    }\n",
       "\n",
       "    .colab-df-convert {\n",
       "      background-color: #E8F0FE;\n",
       "      border: none;\n",
       "      border-radius: 50%;\n",
       "      cursor: pointer;\n",
       "      display: none;\n",
       "      fill: #1967D2;\n",
       "      height: 32px;\n",
       "      padding: 0 0 0 0;\n",
       "      width: 32px;\n",
       "    }\n",
       "\n",
       "    .colab-df-convert:hover {\n",
       "      background-color: #E2EBFA;\n",
       "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
       "      fill: #174EA6;\n",
       "    }\n",
       "\n",
       "    .colab-df-buttons div {\n",
       "      margin-bottom: 4px;\n",
       "    }\n",
       "\n",
       "    [theme=dark] .colab-df-convert {\n",
       "      background-color: #3B4455;\n",
       "      fill: #D2E3FC;\n",
       "    }\n",
       "\n",
       "    [theme=dark] .colab-df-convert:hover {\n",
       "      background-color: #434B5C;\n",
       "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
       "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
       "      fill: #FFFFFF;\n",
       "    }\n",
       "  </style>\n",
       "\n",
       "    <script>\n",
       "      const buttonEl =\n",
       "        document.querySelector('#df-1acae14a-adcb-4fb0-9bdf-ccfd6400eb87 button.colab-df-convert');\n",
       "      buttonEl.style.display =\n",
       "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
       "\n",
       "      async function convertToInteractive(key) {\n",
       "        const element = document.querySelector('#df-1acae14a-adcb-4fb0-9bdf-ccfd6400eb87');\n",
       "        const dataTable =\n",
       "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
       "                                                    [key], {});\n",
       "        if (!dataTable) return;\n",
       "\n",
       "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
       "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
       "          + ' to learn more about interactive tables.';\n",
       "        element.innerHTML = '';\n",
       "        dataTable['output_type'] = 'display_data';\n",
       "        await google.colab.output.renderOutput(dataTable, element);\n",
       "        const docLink = document.createElement('div');\n",
       "        docLink.innerHTML = docLinkHtml;\n",
       "        element.appendChild(docLink);\n",
       "      }\n",
       "    </script>\n",
       "  </div>\n",
       "\n",
       "\n",
       "  <div id=\"id_d12f6c01-05d3-4216-9ead-77f18d1ec19d\">\n",
       "    <style>\n",
       "      .colab-df-generate {\n",
       "        background-color: #E8F0FE;\n",
       "        border: none;\n",
       "        border-radius: 50%;\n",
       "        cursor: pointer;\n",
       "        display: none;\n",
       "        fill: #1967D2;\n",
       "        height: 32px;\n",
       "        padding: 0 0 0 0;\n",
       "        width: 32px;\n",
       "      }\n",
       "\n",
       "      .colab-df-generate:hover {\n",
       "        background-color: #E2EBFA;\n",
       "        box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
       "        fill: #174EA6;\n",
       "      }\n",
       "\n",
       "      [theme=dark] .colab-df-generate {\n",
       "        background-color: #3B4455;\n",
       "        fill: #D2E3FC;\n",
       "      }\n",
       "\n",
       "      [theme=dark] .colab-df-generate:hover {\n",
       "        background-color: #434B5C;\n",
       "        box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
       "        filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
       "        fill: #FFFFFF;\n",
       "      }\n",
       "    </style>\n",
       "    <button class=\"colab-df-generate\" onclick=\"generateWithVariable('df')\"\n",
       "            title=\"Generate code using this dataframe.\"\n",
       "            style=\"display:none;\">\n",
       "\n",
       "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
       "       width=\"24px\">\n",
       "    <path d=\"M7,19H8.4L18.45,9,17,7.55,7,17.6ZM5,21V16.75L18.45,3.32a2,2,0,0,1,2.83,0l1.4,1.43a1.91,1.91,0,0,1,.58,1.4,1.91,1.91,0,0,1-.58,1.4L9.25,21ZM18.45,9,17,7.55Zm-12,3A5.31,5.31,0,0,0,4.9,8.1,5.31,5.31,0,0,0,1,6.5,5.31,5.31,0,0,0,4.9,4.9,5.31,5.31,0,0,0,6.5,1,5.31,5.31,0,0,0,8.1,4.9,5.31,5.31,0,0,0,12,6.5,5.46,5.46,0,0,0,6.5,12Z\"/>\n",
       "  </svg>\n",
       "    </button>\n",
       "    <script>\n",
       "      (() => {\n",
       "      const buttonEl =\n",
       "        document.querySelector('#id_d12f6c01-05d3-4216-9ead-77f18d1ec19d button.colab-df-generate');\n",
       "      buttonEl.style.display =\n",
       "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
       "\n",
       "      buttonEl.onclick = () => {\n",
       "        google.colab.notebook.generateWithVariable('df');\n",
       "      }\n",
       "      })();\n",
       "    </script>\n",
       "  </div>\n",
       "\n",
       "    </div>\n",
       "  </div>\n"
      ],
      "text/plain": [
       "       longitude  latitude  housing_median_age  total_rooms  total_bedrooms  \\\n",
       "0        -122.23     37.88                41.0        880.0           129.0   \n",
       "1        -122.22     37.86                21.0       7099.0          1106.0   \n",
       "2        -122.24     37.85                52.0       1467.0           190.0   \n",
       "3        -122.25     37.85                52.0       1274.0           235.0   \n",
       "4        -122.25     37.85                52.0       1627.0           280.0   \n",
       "...          ...       ...                 ...          ...             ...   \n",
       "20635    -121.09     39.48                25.0       1665.0           374.0   \n",
       "20636    -121.21     39.49                18.0        697.0           150.0   \n",
       "20637    -121.22     39.43                17.0       2254.0           485.0   \n",
       "20638    -121.32     39.43                18.0       1860.0           409.0   \n",
       "20639    -121.24     39.37                16.0       2785.0           616.0   \n",
       "\n",
       "       population  households  median_income  median_house_value  \\\n",
       "0           322.0       126.0         8.3252            452600.0   \n",
       "1          2401.0      1138.0         8.3014            358500.0   \n",
       "2           496.0       177.0         7.2574            352100.0   \n",
       "3           558.0       219.0         5.6431            341300.0   \n",
       "4           565.0       259.0         3.8462            342200.0   \n",
       "...           ...         ...            ...                 ...   \n",
       "20635       845.0       330.0         1.5603             78100.0   \n",
       "20636       356.0       114.0         2.5568             77100.0   \n",
       "20637      1007.0       433.0         1.7000             92300.0   \n",
       "20638       741.0       349.0         1.8672             84700.0   \n",
       "20639      1387.0       530.0         2.3886             89400.0   \n",
       "\n",
       "      ocean_proximity               geometry dggrid_isea3h  dggrid_isea3h_res  \n",
       "0            NEAR BAY  POINT (-122.23 37.88)         38240                 10  \n",
       "1            NEAR BAY  POINT (-122.22 37.86)         38240                 10  \n",
       "2            NEAR BAY  POINT (-122.24 37.85)         38240                 10  \n",
       "3            NEAR BAY  POINT (-122.25 37.85)         38240                 10  \n",
       "4            NEAR BAY  POINT (-122.25 37.85)         38240                 10  \n",
       "...               ...                    ...           ...                ...  \n",
       "20635          INLAND  POINT (-121.09 39.48)         37515                 10  \n",
       "20636          INLAND  POINT (-121.21 39.49)         37515                 10  \n",
       "20637          INLAND  POINT (-121.22 39.43)         37515                 10  \n",
       "20638          INLAND  POINT (-121.32 39.43)         37515                 10  \n",
       "20639          INLAND  POINT (-121.24 39.37)         37515                 10  \n",
       "\n",
       "[20640 rows x 13 columns]"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import geopandas as gpd\n",
    "\n",
    "df = gpd.read_file('https://raw.githubusercontent.com/opengeoshub/vopendata/main/shape/housing.geojson')\n",
    "resolution = 10\n",
    "df = df.dggrid.latlon2dggrid(dggrid_instance, dggs_type, resolution, address_type=address_type)\n",
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8uvs3vI5DH1n",
   "metadata": {
    "id": "8uvs3vI5DH1n"
   },
   "source": [
    "### DGGRID to geo"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "tAfLiPOYDH1n",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 447
    },
    "executionInfo": {
     "elapsed": 798684,
     "status": "ok",
     "timestamp": 1779596115992,
     "user": {
      "displayName": "",
      "userId": ""
     },
     "user_tz": -420
    },
    "id": "tAfLiPOYDH1n",
    "outputId": "68f6268b-202d-4162-b20a-c02bed6c98d6"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXQAAAGdCAYAAAACKIgZAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjAsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvlHJYcgAAAAlwSFlzAAAPYQAAD2EBqD+naQABAABJREFUeJzsnWeUFNXWhp+q6u7JOeccGIY05JyTmEBREbMoKgLmjBmMV0XFnAMGVATJOeecGSbA5Jxzd1V9P3pmZOgw6NXvKtSzlmtd5nTVOT1w3zq1z97vFlRVVdHQ0NDQ+Ncj/q8XoKGhoaHx16AJuoaGhsYFgiboGhoaGhcImqBraGhoXCBogq6hoaFxgaAJuoaGhsYFgiboGhoaGhcImqBraGhoXCDo/tcLOBdFUcjLy8PNzQ1BEP7Xy9HQ0ND4W1BVlerqaoKDgxHFv2Zv/Y8T9Ly8PMLCwv7Xy9DQ0ND4fyE7O5vQ0NC/5F7/OEF3c3MDzF/S3d39f7waDQ0Njb+HqqoqwsLCWjXvr+AfJ+gtYRZ3d3dN0DU0NC54/srQsnYoqqGhoXGBoAm6hoaGxgWCJugaGhoaFwiaoGtoaGhcIGiCrqGhoXGBoAm6hoaGxgWCJugaGhoaFwiaoGtoaGhcIGiCrqGhoXGBoAm6hoaGxgWCJugaGhoaFwiaoGtoaGhcIGiCrqGhoXGB8F8J+ssvv4wgCNx3330AlJWVMX36dBISEnByciI8PJwZM2ZQWVn5V6z1/wVVVWkyyaiq+r9eyt+CSVEwysr/ehkaGhp/A3/aPnf37t18+OGHdO7cufVneXl55OXl8frrr5OUlMSZM2e46667yMvL46effvpLFvx3YJIVdJKIUVY4UVDNgawKDuVW0Dfahyu6hiCJ/87OSS3fC8AoK5wpreV4fjU9I73xdTW0jv0dqKqKSTE/FPV/4zwaGhq/86cEvaamhsmTJ/Pxxx/z4osvtv48OTmZn3/+ufXPMTExzJ49mxtuuAGTyYRO94+zXwegSVa46v1tHM+vpums3eui/XlE+7nSMdj9XydKqqpS2yTz0IJ9nCqsJru8HrlZYDuHevDL3f1QVfUv82JWVBVREFBUlaKqRtKLa8goruXyrsG4Ogj/2oeihsa/iT+lsNOmTWPcuHGMGDGijaBbo7KyEnd3d5ti3tjYSGNjY+ufq6qq/syS/jQmWeGH3dkczLEMCzXJCnd+tYflMwfi7qS3EHWjrCAKAqLw15rU21qnooJBd34PFkWFz7dmsvpYocXYoZxKXlx6nGcv7/jXrE1ROJZXxf0/HCSnvI5G0+8PxY2pRXxyc8+/ZJ7W+WQFlbY7f0VVUVW0B4fGRc0fFvTvv/+effv2sXv37nY/W1JSwgsvvMCdd95p8zMvvfQSzz333B9dxl+GThL5avsZm+NF1Y3c8dUefpzat3UXKisqmSU1HMiuoL5J4ca+EX/pmppMSqtwK4pKdnkdR/Oq0IkCI5ICEM/j4WFSFLvf64ttp+kT7cOIJH90omgOkcgqkiS03r/l+7aHThSZu/YU6cU1FmNrjhfx5bbT3NAn4i8RW5OskFFSy9JD+WSX15FTXk92WR0VdUaWzBhAhLfz3xpK0tD4J/OHBD07O5uZM2eyevVqHB0d7X62qqqKcePGkZSUxLPPPmvzc48//jgPPPBAm+v+v5pEG2WFrWklZJbU2v2cIJhDBl9tP8PC/bmcKKiiwfj7LtSgE7m6e+hftjs06ETmrkll1bFC0opqWne8kigw/47edA/3sitaLW8dZbVNdud5beVJxiQHUt1g5GBOJWlFNaQX1ZBeXEOMnysvXJnc7lpbHm7rThTZ/MycZcfpF+NDlK/Lfy22OknkqV+PsCuzzGJsxnf7WTSt/18aStLQ+DfxhwR97969FBUVkZKS0vozWZbZtGkT7777Lo2NjUiSRHV1NWPGjMHNzY2FCxei1+tt3tPBwQEHB4c//w3+C/SSyBdbT7f7uafGdaC2Uebl5SeoN8oW408vOkJSsDsdAt2sCpaiqqiKinQeYiYrCgWVjcxdewpFPXdM5d5v97PivoF4OOltiqMoCHyyObPduSZ2D8UkK4x6YxP5VQ1txrall9I13JMr2zkUlkSBd9elYy8pqNGkMHftKd69PsX2h84Dk6xwILvCqpgDHM2r4j+rUnlkTMJ/NY+Gxr+VP7RdGj58OIcPH+bAgQOt//Xo0YPJkydz4MABJEmiqqqKUaNGYTAYWLx4cbs7+f9PZCspe3cMirZ7jbezgeQQD77decaqmINZsO78ag8NRhMmue0c1Q1G9pwuRzjP3bsgCHy8OcNCzFsormnk7m/3IQhCc5ik7XyKqqICo5IC7M7j5qDjxr4RHM6ttBDzFmb9eoTssjpMNtIcFUUlv7Ke3w7ltfu9ru0RZvM+54tOEnlrzSm7n/lwUzr7syq01EyNi5I/tEN3c3MjObnta7iLiws+Pj4kJye3inldXR3ffPMNVVVVrYecfn5+SJL01638D1JVb2R/Vjn7sys4kF3BwewKnhzXgfHdQpkxLJa316VZvW7WpR2QBIGvd9iORwPkVzYgiiIlNU18tyuLY/lVHM2tJK/SLJYzh8dx34g4u6EAVVWpa5L5cU+23bl2ZZZxKKeC5GAPVh4r4FRhDamF1aQW1lBQWc/P9/Tj0bGJrDtRSEZJndV7XN87HCe9xJMLD9ucp65J5u5v97Jo2gCbYQxPJwOhXk6cKbU+D0ByiDsD4/3sfqf2kBWF43lVbEkrsfs5pflgVAu4aFyM/KV5hPv27WPnzp0AxMbGthnLzMwkMjLyr5zuvDDKCptPlXDbF5aHuE8uPEJ8gBvTh8exI7OUXZnlrWMGCa7rFc64zkGsOV5ITnm93Xmu6BKEk17i+d+O8f1uS0F+e90puoR5MijO12aoRFZUvtl+hrom628CLSQFudMt3Iu6JhP3zt9vMX7X13tZNnMgv00fQMdnVlmMGySROwZFk1lSy7H8artzFVY1oqIiCJZrFkUBvSTw3uQUrpy3FaNs/bXi3qGxbXLi20NRVEyKgiSKreEeSRRx0Le/IRgQ60uXMM/zmkdD40Ljvxb0DRs2tP7vIUOG/OMqLM1xcuvx5EaTwpQvzWmJX9/emz2ZZSQEuuHqaE5RbBGTGH/XdueZdWlHqhpMLNyfa3VcVeG+H/azbMZAAt0d0UkiJsUcFtCJZqETRYHzOcu7Y2AURllh2GsbrY6fLq3joQUHeW9yd5ZOH8BTvx4h1t+VGH9X4gPcSApyx8fFwPO/HWt3rpv7Rbauzxo6SaRDoDuPjElk9tLjFuMxfi6M6hh4XtkyLezMLONkYTXZZXVkldWRVVrHgDhfZl2axPRhsbxj420K4L4RcX/o4aGhcSHxz6z0+YuQFYWc8no223lNL6puZM7SY7wysQv94/zIq6hnzbFCDuVWciinglh/N168Mpk3runCAz8etHqPaF9nPF30fLAho00O9rlU1ZtYdCCPaUNjOVNay6GcSo7nV3GioJrj+VVsfmQoUwfHsOdMudX8cYBAd0cu7xoMKhRUW499Ayw7XMD3u7O4pkcYC5szP0yyiiQKiKKALCtc2zOMJYfybMbrnQ0St/WPpL3wvygK3DEwmtTCamobTUT6uBDl60K0nytx/q4oiooonV+qZU5ZPZM/2WGxppOF1QyO92P6sDiWHs4no9gyM6l3lDc9Ir3bnUdD40LlghZ0QRD4YttpuxkYAFOHxKKqMOCVdRahlR0ZZcQHuHJD7wh2ny7nu11ZFte/N7k7AvD1jtPtrmli91BSC6sZ9eYmi7HYJ5eTNnssb17blXFvb7Yal76tfySqCtPn7213rhBPJ+RmMRUEAb3ud1GVJJF+MT7cMzSWd23seK/rGYaLg+68UgBlReW1q7sAvxf+6EThD6UP6kSRd9en2XzAPLjgIGseGMz8Kb3p89I6APxcHQj1ciLUy4k7BkVru3ONi5oLWtBNssrPe3PsfsYgQZSvC0sO5tmMk7+w5Bgdg9157vKOFFTW42SQ6BTiQadQTzqHeODiIJFVVk9Jjf2878Fxvvi7O/LqypM2PzPzu328NSmFj27swXe7zjAkwZ/4ADe8XPRIgohOMh/4LT9qO+8boEOQGwPj2j+IfGBEPLsyy9qkAiYGuNE3xocZw+Pavb6Fs1Mb/4ygyopCcXUTv9oIWQEUVzfyyE8H+fDGHux9agRujvo2lbOamGtc7FzQgm7QiQxJ8GfxQdtpdW9c280cZ9922uZnjLLKXV/vY+2Dg/nslp4IgoBRVszhi+YdaISPM4+OSWTOMss4cgtPjOtAWW0Tiw/YXs/SI4XckFlG90hvnr3cnFFUUtPIntPlHM+vxtNZz8TuoXxyUw+mfLXH5n3uHBiNUVbsetAIzd4rn97cg7LaJrxdDDjppf+JKIqCwLz1aa2GXrZoeej6uFrWLmhirnGxc0ELuqwovD6xC5kltRzOtW7hO6JDAIdyKqx6uZyNIICLg9QaQjhXKEVB4M5B0RzKqWDJoXyL68O8nIj1d2Pu2tQ2BmDWMCoqBp3IAz8eYN2JIirqjGfNYw6lDE7w49LOgSw5VGBxfZCHOc4u2TnMbEESBdwc9WSV1rH7dBnpRbWkF9eQ3mysNWNY7N9SdWnOZFHRNVsNCILAplPF7V5379DYdh9UGhoXKxe0oEuiiKIqfHpLD8bN3UJxjdkEzM1BR6dQDyakBOOol/j8PKpFJ/dp36+l5QGSWlhNZb2RUUkB9I3xJTHQjRBPJyRR4Kc99kNAAH1jfDiaV8kv+yzDD4oK078zV4u+eU03NqauprrBRJ8oTx6/JIm4ADec9BJKOzvd39escqqwmnHvbLEYm7smlb7RPqSEe/4lu19VVVFUOFNqfmicKa3jdGkdRlnmxSs78dL4Tkz+dKfNM484f1fGdgr6r9ehoXGhckELOph30l7OBj6/tScnCqroHuFFhI8LoiBgUhRkRaV/rI/NdEMAB53IzX0j2k29a3mALJk+sDW2a5QV0opq2HCymBFJAcwcEc+jPx+yeY9HRyegl0Q+3Jhh8zNltU3c/c0+fpzalwNPj0RWQC/9fgBZ3WDE2XB+f7WSKPDehnSrY+aHxz5W3T/4L7HAVVT4YGM6r1k5Q+gS6sn1vSO4fUCUTduCadruXEPDLhe8oINZ1BMC3UgIdGsjBi351Vd3D+NIbpXNOPqlnYPwdDac11yiIJBTUcfctac4mltFenFNa1z4pfHJTOodwb6scn6wUnwEcNvAKAqrGlh22DJsczZHCspRVJXssjrWHC/iVGE1qYXVpBXVoKiwZPoAwn2c7YqfoqgUVjew1M5chVWN3Pf9AT6/9b+3wJUVlc+2WBfrJxYeYUSHAB4bk8i2tFKO5ZsrjB10IqFeTiQEunF5l2BEzR5XQ8MmF4Wgg/2uOaqqMuvSJE4WVLM9o7T15/2ifZjUO4yhCQHnnUEhCvDu+jSr4ZLHFx4hJcKLF69M5lheVWtcv0eEJ7cNiKZ3pDd6UWT+rqx2Dwe3PTwCvSTy0IJD7Msqtxif+s1elkwfgCSotkVQgA83ZrQ2vrBFk2y/cvV8MMkK83dlUWrHAXLUm5vY9eQIPr2lB3kV9UT4uOB71uGnUVYQtaJ+DQ2bXDSCbg9BEFAVhU9u7k5xTRMBbg5Iovi7J7mqtit6YH4wVNWb7GaxTHhvOzueGMYv9/RrvoY24RkVuHtwDHPbMaFyd9KzP6vcqpgDpBXV8MTCw7xxTVeLNZqU37sLbTxpP/0R4J4hf6x03xqCIPDxJtthJICKeiO55XWEeTvj5qijos7Izgzzbn1rWgl3DY6ha9hfE8/X0LgQ0QS9mRaR8HN1YF+W2bzrUG4lh7Ir8HY18Mvd/c0Vj3Ze+RUVvtx+2m61aG2TiazSWjqGeLIptZijeZUczzdXimaW1DI+JYTXru7CmgcGMeINy+IjgEXT+pnj7O0I5C/7crmtfxTJIR4AVNYbW0Mzp0vrmDk8jm+m9Kb/K+tt3iM5xJ3+sb5257GF0lydKgiwPb2U3Ar7fjjh3s6E+zjzwcYMq3H2EwXVrLp/EOJZ6aIaGhq/own6WYiiwJi5m8guays8eZUNPP7LIf5zzm73XFRV5Zt2XBkB4gPc2XemnJs+22UxtmBPDj0ivLm6eyhPjE1kzvITbcadDBLJwR7klNex6qhlyuLZGHQisf6urDxSwOMLD1s0vMgtr2fe5BS7tgZ3D4457915y+dMskJuRT1pRTWcLq2lT7QPA2J96RHhxZ4z1t8oAF69ujMmO3H2nPJ6nl50lNcndml3LRoaFyOaoDdjlBU2phZbiHkLP+/LpVOoJzf1iWjdpbeEL/SSuYVbZb2RBpP9ePNzlyeh14l8vNn27vrpRUfoEubBrQOiiPFzIdLPlQB3B/SiiF4SEUUBgyTaLJFv4eHR8TjqJd5ed8pq96Klh/Ppt+MM1/UKZ9XRAlYcNfvHOBskonxdSApyZ2xy0HkfROokkSlf7mbdiaI2azPoRHY/OYJ3ru/G6Dc3UdVgsrjWz9VAjwgvvt5xxm6c/ae9OVzSKYiBcea3hrPtBc63ZZ6GxoWKJujNnE/3oheXHGNwvB/h3s40mmSO5lVxMLuCI7lVKKrKG9d04e3runHrF7tt5lJP6hlOfmU9q2yYb4HZBfKhHw+ycFp/hicFUtdk4mRBNcfzqzlZWE24txO39Y/itas78/BPtlMgr+sZzvb0Uo7m2W68/fySY/SM8uat67qxP6ucWH83/Nz++EGkrKgcy6tkzXHLmHyTSeH2L3bz/Z19eHF8J2Z819by181BxxvXdgXgo3bCSAD+bg40GhU+25rZ2lc0p7yO/IoG3p7UjVFJAVqcXeOiRBN0zGKUVVbbbvMET2c9oV5ObD5VbFW0w72deXBUPDOGxTF3reWh5iXJgegkkU82Z7Z7yPrkuA7oJZEJ722zOPgUBIj1d2V8txCWHspnQ6plheXN/SJwc9Tz4UbrOeYtNJoUFh3I48GR8fSJ9rGoCj3fnG9JFHh3vW1b2z1nyvl2ZxY394ukwSjjoBOJ9nMlwtsZdyc9sqKSXlxDgY3uSS3E+rnQIcidd9adstq96MmFh+kd5Y2ns+Ev6/GqofFv4aIXdLN/u8qyw/bj0QCTeoUjCgJP/nrY6g783fVp9I3xYeaIOI7lV5FTXkdSkDtJwe50CvEkJdwTURRsWuOeTfcIbzacLLKaxaKqcN/3B1hx3yA+vKk73Z9fDaLAzX0iGN7Bn2hfV1yddKQX11gV+7PRSwK39ItEEPjTJf6yopJdXmf3rQPg2d+OclX3UMZ3DUEQaeOzLokC8QFu3Novks/svCm9enUXmkyKzere8jojDy049JfkzWto/Nu46ATdpCgImKseFUUlrbgGd0c9t/aP5IutmRTbcEzUSwI394skvaiG3HLbu8gbP9vJzseG8/FNPVp/1mRSWj1LTLLC7PHJ3PzZLpsx8Ocv74ihnTh7eZ2Ru7/Zx4K7+nLgmZEIwu8NOaobjNQ3ygR5OBLh42y3PdzlXYLbhFj+KIqioqoqv+zLbtemeGSHAFwdbP+TU1WVx8d2YGtaKScLLTsphXg50jnUg082Z1JZb7RyBzPrTxbx3S6zF7y2S9e4mLjoAo0bU4t5efkJJn6wjY7PrGTUm5uY/Im5bd7iewfYvG5schC+rg68uvKEzc8AKAqkFlYjK7+nLhp0YuthnU4SGRDry0w71rQTe5g907emldr8DMCJgirqm2QKqhp5fskxrv94Bz1fXEOnZ1cx/I2NiILABzd0x0Fn+6/5niGx55VjD1g0Xi6qbmBnZhm1TTJ3D461cdXvTB8W29qlyRqCYO7Y9O713dqs2cfFQNcwT967vjuKCp9saT/OrqrqP657lobG381Fs0NXVJWCygbu+HKPxc44vbiGmd8f4OObevD17b248VNzOmGEtyP3j0ykT7Q3fm4O1DWarB76nU2Mnyv92/EhFwSBmSPi2Z9dwYaTxTg0pxd2CHJnaLwfTgadTT+Ts5nYIwxnB4kbP93H/uy2bpFF1Y08vOAgb13XjScu6cAzi49aXD8yKeC82uu1oKgq0+fvI624htMlddQbzRk9QxL8+OLWXiybMYBL3rY0+QKz4VinUM9259BJIjF+rvx8dz+c9BIhXk44NvcSVRSVgqoGqq1kyZxNkIcj1/QI0w5GNS46LhpBV1X4cttpm2GO1ccKeWtNKjOHx3Fq9lhU1ZyOKAgCTSaF8jojnk56xncNZqGdStBb+0eeV962LCvMuz6FwqoGInxckEQBVVUxyiqyojA43pcf91j3ewGzxcCdA6PJrai3EPMWfjuUz4ikAG7uF0leRT1GWSG2ua9oXIAbHk768za7MskK3+3K5jcr1sAbThbz2ZZMbukXyZQBUXxiJY/8jzSKVlGJ9HE2tw88VUx6US1Hcitx1Iu8cnUXHh2TyPNLbPdDvXNQdLtzaGhciFw0gq4oql2BBPhiWybThsZSUNnA5lPFHMqp5FBOJamF1bg76Vk2YyCvTuzClrQSq7F2dycdV3cPPS/RkiQRJ0Eg2u/3HbIgCBia28SN6xzM7tPlNg3DRnUMJMTLift/OGB3npnfH2BArC+PX9IBWVGpN8pU1DVxNK+SMyW1XN0jDFVV2z0QFQSBT+zE9F9ZcYJ+sT48MiaRuiYT/u6ORPi4mPPofVxwd9Lbvf/ZSKLIxA+3cDzfMo4+IimA2wZEsfZEodWQlJ+rA5N7R2i7c42LkotC0E2ywqKDuZTX2T5IA5jb3L3oti92c6qops1YWW0Td3y1h5/v7sfmR4eROGtF65iHk8T1vSO4KiUUwx8QEnsFO6qq8tS4DhzIruBAdkWbsUB3R+4eHENFXZNd218AL2c9ro46ZFkhYdZyznUlOFlYw7OXd7R7D6OssOxwvs0WfWBOf3x28VG+v7MvcyZ0psmkUG80UV5r5GBOBYHujkT6urT7NmCSFTafKrEq5gD3zN/HnidH8OY1XRnx5kaq6k24O+oI9XIm1MuJK7qGcB59PTQ0LkguCkHXSSJr24l9A/SJ8WFHRqmFmLdwOLeSJxce5rWJXTj+/BiaZAVHnYj+rENPk/LXOAKad8wqH97YnXfXpZEQ6EaHIDcSAtxxddShqiprT7T/nW7oE4FOFHlu8RELMQf4Yttp+sf6MjTBz+auVi+J51XwMyzR7Ep59QfbOHBOGCjA3YE1DwxGFOz7quskkXdsNK0G86HzrZ/v5ue7+7H2gSG4GCScz8qckRVVy2zRuGi5KPYyJlnhqUuT8HS2/dp/z5BoHHQSn2+1fxi5YG8ORVUNGHQiBZUNLDqYxzOLjjLhva30fHENueX1FtkgfxadJOLjYuC5KzpyTY8wUsK9cHU0i5cgCIzoEMDgeNsHsA46kdsHRCGg8tWOLJufe/ing9Q1GZEVhSaT3KbbkaIoKKraejBpC3cnHTf2iaC4utFCzMHsq/7wT4fsiq1JVtiVWWbTQbKFEwXV1DXJ+Loa2og5oIm5xkXNRbNDD3Bz4L3JKdz46S6raXp3DY6lsKqh3SyWWD+zR/crK05YdTuc8uUefps+AFFQzqun5/msHWiNrZ+NSVZ4e5LZH8VaheX4biF4OOlZdMB+WKaizoiLQU9lvYnFB/PIKK4ho7iWjOIaKuqN7H96JPOu78YoGz4sADf2icSgE5n5w36r4wArjhTww+5sru4ealV4dZLYxo/eFtf2DMPNUfe39DrV0Pg3c1Hs0MEsFn2ifXh8bCIAS6b3JX32GDJfuoRTs8fipJfwddG3m5P9zOUdMSoK39voOHSqqIaHFhy0EHNZUWlqjnmY/sIdvLNBYt7kbuhEAT83B/rH+nBLv0jmjE/m4dEJyIrKfT9Yd1Js4fGxiQiiwJurU3l28VG+2n6GLWkl5FU2UNckM2P+AXzdHHhpQier1zvoRO4YGEVVfRO7Mu3vrr/ecdrmLlpVVe4eHEOMn+1USr0kMG1obLtFTBoaFyMXxQ69BVEQuLV/FDf1jWxtKlFc3cjeM+W4O+noHeXD4adH0un51Vavd9SJ9I7y4ed9OXYrFZccyufOgRV0CvVAEAQq6po4nFPJkWbv84dHJxDo4fiX9MbUSyLdwr048tzoNvnaJkVBJwoYjTLBHo7kVdqubp0yIIqaBhM/7bXewHrlsQI2nCxiXOdgtmeUsSOjlChfF6J8zRksnULc8XDS27TgPZub+kbaTJUUBAFRUHlnUjeumLcFo2yp2ld2CyHA3bHdeTQ0LkYuKkEHc4z11wO5rDpayIHscgqrGgFw0kssurc/Ub4uvDWxE/ctOGxx7cNjEjDoRL60kUp4NgmBbhzKqWTKV3sorm5sM5ZWVMOv09pvmPFH0EsCZTWNbE0r4cmFB6hqhKQgNxbdO4B3r0/hmg+3W21rd2mnQBAEPt92urVQyBpTvtzLkWdH8eKVya0/MykKsmzu5qSqcG2PULtZN0EejlyVEmI3FKWTRBKD3Jg5PJ7XV5mbXOhEgWBPJ0K9nJgxLO4v/b1paFxIXFSCrqoq1Q0mnvjlsEVXoXqjzJQv97B0xgAu7RrKW6sPU1ADdw2JY1ynIEK9ndCJIodyKjhRYD2lroUpA6Nw0Et8tCnDQswBjuVX8eSvh3ntauuNGhRFRW4ubDqf71TbaKLX7LUWgnwsv5pPNmcydXA0D4yM59VzugD5uRp467puyIrKV+fxkGo0KTTWNLLoQC6rjxWyPaOsdWzG8FjuHxHPDb3D+Wan9QPYKQOjzitUIgoC9wyJoXeUN+E+zvi5OrQKuKyJuYaGTS4qQZcVlfm7smy2iMsqq2Pat/v44tZerH14LKrwuyPgmdJaDJJIx2APekZ6sfu07Vjx9GHmA9aVdjoKnd2ZCH7PzjAX/VTRKcQDwUD7FaeqypfbztjcXb+y4gSjOgZwz9BYBsX74e/mgLuTHlEwh2tabGvL6mw3lQC4vEsQPq4O3Dt/H0usVIvOW5/OkHh/Zl2WxPqTReRWtA3x+LoY/ljBjwA9Ir0sDj61LBYNDdtcVIIuikK7LeK2pJVQUtuIJAh8tCmDQ7mVHMmppLrRhKNOZMcTw/nwxh6MeWsTRVZ2393CPXF10PPBhpNWQxxnc7KgCkGA+TuzWHGkgBMFVZQ0V6AOjvc7PwtYFb7aftruR0a9tZETz48lKdid/IoGtqWXcqqwmvTiWqYPi6FDkDt3DIy2m2v+8OhEcivqWX7E+kNKVlRmfL+flfcNYtG0/uw5U06Ejwt+rg64OOhw0IvnbQIGaJ2HNDT+BBeNoBubKxDtVTsCDO8QgL+bI/f9sJ9f97f1bGkwKVzz4XaWTB/Ahzd255oPt7ce3F3aOZAruoYwON4fRVX5brftvG8we7HcPiAao6zw1K9HLMY3phbz7ro0pg+LtZmeZ5QVFh/Is/pgOZt7h8Sil0Tu/mavhSD/uCebtNljeXRMIjszSjmYY5lD3jPSi1AvJ55edNSuKOeU1/PRpgzuHxnPsMQAcsvr2J9dzunSOrLL6nhgZDxujnptl62h8Tdx0Qi6XhI5kmvdxOpsbukXSXW90ULMW0gtrGHWr0d4aUJn9s0aiV4S0YlCayihusGIq4OO8V1D+NxOXHp4hwBCvJz4fpdt4X9rTSo9I73oGemNThKRFQVZoTVDRxKFdkMlYDaryimvsxkC6v/SWrY8Ppz3Jqcw5q3NVDea8HYxEOXrQrSfCzOHx1HVYGLBXvteOADjOgdRUtNIz9lrLOLluRX1fHqz1nhCQ+Pv4qIRdFVVmTY0li1pJezKLLP6mRg/V/rH+rYbwvhhTw7PXp6MJAqsP1nEkdwqjuZWcjSvirK6Jr6d0pvHL+nAzsxSjtnwJJkyIAqjrPDYL5bZNC0oKry8/ASL7h2ALMtsSC3hZEE1JwqqSS2s5r3JKdwxMJrNqcVsOmW9fd7Y5ECcDDpeXn7SptNkYU0TX2/P5KZ+Uay6fxCujjrcHM1VtapqzmJpMCn4uDiQW2H7DWdIvB/xAW48/9tRq4efa48X8W1zU2ptl66h8ddz0RQWCYLZnvbDG7sT5GE9j/mdiUk0mRReWX7S6ngL3cI9MehE5q45xd3f7GPe+jQ2pBZTXNOIrKhM+3YflfVNfHdnXxzPaS4R5+fKgqm96R3tw/H89t8YLu8ajElWuPHTHdz+5R5eXXmSxQfzOFFQzci3NlLfJPP2pG4EuFvvOvT8FR2pbbSdY97Ci8tOIKgqgR6OOOhEiqrqWXE4n7FzNzH4tfXoJYF3JnWzK8T3DI2lusFot4Xci0uPk1tej6IoZrtgk9LGKuGPxNk1NDTactHs0MGcMeLqoOOTm3qw73QRk3pHIYoiIGBSVAw6EUVVqW2y30DhjWu6IisqP9iw4y2tbWLq13tZcFdf9j41Ap0kopfMc+gks5GXoqhU2SlOAnB10DGpeTe7LaPCYlyWYdLHO1hwV1/evT6F6d/tY2CsHz0ivUgMdCfY0xEPJwOrjxXazTEHeHBkApIkceW8rRbujgDP/3aMF69M5t6hsVYbYHcL86RXlDcfbLBtrAXm9FCToqAisD+rnMySWrLK6jhTWkdueT1vXNuVYA9Hzf5WQ+NPcFEJOphj6QmBbiQFuyMIAg1GmcM5FezLKkcUBe4YGE3GnLFEP7Hc6vWuBolQLyd+2ptDhR073n1ZFdQ2mnB3MtBglDmYU8mR3CqO5VdysqCaF65Ipne0L2M7+rP8qHX/mGt7huGok/hiq+3skwPZFXyxNZNb+kex4/ERwO/dmQ7lVBLk6cTIpABi/VxIK661eZ8b+kSw90yZVTEH+HZnFpd2DmLm8DgO51ZS22gisrlaNMrXhZRwLxqNMq+tsv924+NqIMzbmQV7s3nsZ8tw08zv9vPz3f3s3kNDQ8M6F52ggzkl7usdZ5i/M4tTRTVtXvO9XQxc2TWEUy+MIm7WKotr35rUFb10ftWiTnod29NLmPzJTov49dRv9rJi5kDeub47sU9aPjzMWTBRqKg8t8R+H9Ocinr0ksirK06wMbWY9OIaGozmMIafmwOr7x/E91P70mvOGqy19JzUKwwPJz3vb0i3O8/Nn+9m71Mj+OwW88GmqqqYZHOhT0soZmCcHxtOFtu8x0c39kASBT7aaP0htT+7gnfXp3HvsFgtdVFD4w9yUb7XGhWF11ee5ERBtUXM9olfDnOioApEiTX39adfjA/vXt+NLY8O5cQLYxia4E9mSW271aI/TO2DXifyyZZMq4eROeX1zPzhADpJ5OQLY/BzdWBgnC93DIzmPxO7sOr+QQR7OpFTantX3cLdg2NIL67hvQ3pHM2rahVzMHvVzPhuP76uDnxyY48210mS+dD0sbGJnC6pbddfXRIEVJXW5suCIKDXia1iLisqb17TFR8Xg9XrDRJ0DvFg5ZECMkpsf6+3155qbbTddE6MvWUeDQ0NSy66HbpRVvhlX65NG9hGk8KdX+1l2cyBRPi5M/+OPoC5gnN7eimhXk7EBbhxfa9w5ttJOewR7kVOeR3r7Yjk2uNFfLAxnTsHRbP7KXO4RFZUTLJCg0mhrtFEoKczTgaJ+ibrMfD+MT4EuDvyqJXwRQubTpXw/oY0pg6OYdcTw3Fx0LWmWkqigElW2JZe2m5Z/jU9w3C1Y1sriQJujjpen9iFW7/YbTH+6c090etE3t9o/03ApKioqkq9UWHJoTxyyuvJLqsju6yeouoGvp3Sm2BPp7/E3ExD40LiohN0vSS2Wy2aV1lPZb0RV4PE1K/3cjinoo1b4d5ZI3j+io4cy6+yGnO+a3AUgijwmY3d+dk0mhRUFXafLmX+riwWH8pDbtbuXlHefH9HH9bcP4j+r6y3ev2sS5OorDe263n+yeYMpgyMxtkgcTy/itTCGtKLa0gvqmF8SghXdA3hss5BVptAg1ms7xocDSrYa8ikk0SGJvqzfOZA3Bx1eDrr0Ytia1gmt7yeQ1aKl84m1s+F+AB35q5N5e21loes9/9wgJ/u0uLsGhrnclEJuiwrHM4z54vbY1CcH+HezpTVNFotxhn2+np2PTmSD2/szti5mymrbaJLqAeTeoXTM8qbKB9nFFlhwR77qYIOOpGb+0YAKhM/3GExviuzjNdXneTh0Qm8dnVnHv7pEACeTjrGdwtlRFIA8QFuvL3ulE1/mhbev6E7eklkzFubSD/ncHRDajHdI7x4+arO7M+usFpNO65TEEEeTnbnaEFRVDoEuVNW28jJgmoyS2o5XVpHhJczE3uGcWOfCL6281B9+SpzT9Ivt1n/zL6sCj7YmM5dg2M0oy4NjbO44AVdaS6M0UsikiQS4umEKGL1cLCFm/tGYDQppLy4xup4Zb3MnV/u4dNberLz8WGoCK3Vm3VNJo7lV5Mc4sHHN3Xnuo932pzn8i7BeDobmG9H3N7fmE6vKG/GdwthXOcgpOa49dkHhv1ifHhrjWUq4dl0DfNi3fFCCzFvYeL721n/8BDevT6Fq9/fhpNBom+0NykR3nQIciMl3Ov8+3UK8PxvR63moyeHejDr0iS2pZdYXUuAuwNdwzz5bOtpu57zb605xYikACJ9XFp/9xoaFzsXpKCbZAWdJNJkUjicW8nu02XsO1OOk0Fi7nXd+Pq23kz+xLrQhnk7MSTRv/XgzxYbT5VglFXqjTI/7s7mSF4lR3IrOVNWh6rCq1d35qqUUKYMiOKTLdb7lE4ZGI1JVnjCipdLC6oKn27JZEiCPxklNWxPLyO1sJqTBdWkFlVzQ+8IHh6dwJ2Dovhok/V5Xr26MwadyEebbac/5lc1MGvREV6e0Imjz43GoBNbY+W1jSaMstL8O7Ev6C12vrY6Ok36eDvbHx/B25O6ceW8rW2aWHwwuSvDOgSgYg4R2aNJVsirqCfK18Xu5zQ0LiYuSEHXSSJP/XqEH3ZnWXS9ifBx5v4R8dw/Io43z9nVBrobeGVCZxRF5Z6vLQ/1zqZHuCcOOpE3VqfysRXxmfXrETqHevDomEQ2nCxqzQHXSTC+ayhXpYSQEOhGaqH9bBmA63qGU98kM2buZos3i/c3ptMv1peHRiWy6WQJJ6zc7/IuwRzNq2RHhnXLgxYOZ1ciYLYzWHeiiIziGjJLaimtbSLGz4VlMwciqardXp6KCp9tPU2djUPcijoTTy48zOsTu5D64lgUVTUXXIm/Z8sYZYXKevuGYx2D3RmS4G/3MxoaFxsXnKCrqkp5ndGqmAO8sy6N5BAPpg2Nxc1RR6cQT+IDXHE0SOibqzhNssLBdoy8/nNNV4yKwo82qkUbTQpTv97L0hkDWT5zEDVNJpz1UmtmSctad9vwlWkhxNOJscmBLDmcbzVMpKpwX7Nt7Xd39sYgCTjqpVbRNSlmAU7wb38n+8L4ZBpNCo/8dNAiCyi9uJZnFx/lpQmd7d7jfJpl/LIvl1eu6kxNg4n92eVklZmzWLLK6nDSS7x1XVe2PDKcnnPW2rzHPUNibLay09C4WLng/t8gqyrzd1oXczAL4AM/HERRVG4bEE33SC9Kapr4dX8eTy08wrRv9wGw5dHhNudwNUgEeznx895cu3HeM6V1fLo5A50kUFbTxLIjBby8/ASTP9lBjxdXsy29lGt7hjEg1sfmPW7uF4miqjy76KjNz5TUNLFwbxaujnpcHA1IkkR1o8zeMxX8uCeH9KIaVEHkP1d3tHkPHxcDXcM8+XbnGZspnd/tymbl0QKrTa6NsjlnXFVVSmvtO0Aee24UeknkwQUHue2LPTy7+Cifbslk9bFCFh/M49MtmXi7OvDgqDir10f7ujC2U5Am5hoa53DB7dBFQeD7drzIA90dkCSRT7dk8ObqU9Q0thUwDyc9cyZ0YucTw+g9Z53F9V/d1uu8q0XHdQ6isKqB4W9stBib8d1+Vtw3iE9v7knXF1Zb5Jq7GCQm9w7ncG5luza5tw2MAUFgype72ZdVQdlZohrm7cSKmYO4ols4D/5k/cHwwpXJiII51dIej/58iO2PDUdn7kdNbaOJzJJa0otrCPJwJCXci9evSuahn22fCxh0EqcKq1l/0nqO/usrTzIswZ+7BsfyxdZMSmvNfz/dwj0ZEu/HuM7B5lZ0kpbhoqFxNheUoJvOs4nF3EndAJUPN2ZYiDnA/F1ZdAnz5Oruocy/vTfuzjpi/d0wNBts6SWR0ppGMu1UOwL0jfEh1t+NF347ZnW8tLaJu7/Zyw9T+7L+wcHc8+0+EgPdSQh0o2OwO4mB7jgZJL6z0aPzbGQVNpwoYs1xS5HMLqvnsZ8P8c71KRY+NYmBrlzWJZiRSf4sOZTXJt/eGpE+LjgZJL7deYb/rEpt8+Bwd9Kx+v7BXJESxotLj1Bh5VY7Hx+GThJ5b0O6zUKmRpPCzB/2s2jaAHY9ORKTrLYJVQFW3xI0NC52LihBVwFfNwccdKLdvOw4fzdWHCmw2+nn6UVHGN8tmL6xPgiCQKNJ5kBOJQezK/By0nN51xCeurQDT9sJhdzWP5K6RhOfbrW9691zppy5a1N5YGQCv9zTH0VVaWiSKatrYl9WOUnB7jx1aRKLD+bRYOM7pc8egySJdjNDfjuUz4C4LK7uHkbq86NQBXOxz9lhi+4RXjavb+GuwdE0GGWeWXSEc5dTVW/ivu8P8O0dvdn79FhizjE4MxjA19WBgsoGfjtovYFIC/mVDSiqSnpRDTsyy8guqyOnvI6c8noifVyYNzml3bVqaFxsXFCCrpdEkoLceeHKZB5pLsI5l+ev6IhBJ9otbAHzLlEQBLaklTB76XELE69IXxdu6hvJ/qwKFu63rNIM9XJieIcAFu6zX8EJ4OfqiFFWePznQ6w8Vkj1WTHsbmGe/HR3P76/sw9XvrfN6vUqAsfyKtnZzgHrR5syubZnOIJOYunhgtZK0bTiGsZ1Cmba0BgeG5vIy8utm4FF+DgzqmMgiw7kWoh5C9szSvloUwZ3DowmbfZYREFAxZzJohdFBAE8nfXt9lv9uNnE6+5v91m8CR3Nq2LwnmyuSglBErU4uoZGCxeUoIO5RP2aHmEcya3kq+2/i7aTXqJLmAfX9Agjo7im3RS+lfcNRC+JzFufZtWI68r3tnHomVG8fFUnjudXUVrTyI39IhkS50eErwuOehFZVnllhfVwSwvuTjom9gglv7Ken6yI//7sCuYsO86sS5NaUy0lCUZ1CGRsciBjkvzQSSIf2mnw3MKkXmGYZIUPNpzk9dVtP59amErfGB9uHxDFwn05nCyssbh+yoBoZEXlGTtvJWA217p9QBQ6UeBMaR0ZJTWcLqnjTFkdXcM8ubxLMG9M7MIDCw5avd5RL9Ip1IMVRwpshrVe+O0Yg+P98HExaN7pGhrNXHCCDuZ0wGcu64ijXiLE04neUd7EBbghiQJNJhlngw5vF0Ob+O+5xPi5klZkX/hHvbmBTY8MZ/G9/VsbV5gUhbSiGk4WVHNZl2B+uqs/g17bYPMe1/UMxyCJPGRD3MBcWNQ/xofpw+K4a3BMm3iy0WhCVVUifJzt/k7cHHRc39vcLONcMQdzuuGM7/az8v5B/HJPPzo+s4oAdweifV2J9jN7nl/bM4ydGaU2s2BauKQ5A+XN1akWzTB+0It0C/Pksq7BvLL8OIU1ln8H70822xS8Z6dZRnWjiYcWHOTr23vbXYuGxsXEBSnogiCAqvDEJR0wygo6UWjNyzboJHxdBeZd340bPt1l1Yr14ZFxSKLAF3Zi3wAFVU2YFIXKeiNz15ziSF4lqQU1NDUf2KUV1fDAyHheuaqTVTdESRS4rX8UNU0mdmWW250rq6wOURRYdrDAbK5VUM3JwmryKxvImDOW+4bHszOjzGbY5dpe5mYZ6YW28+tzK8yHp+9en0La7DHoJHMqi6KqNBllRKF961pBaM4RNylWOxs1GBVmfL+fhff0Z8tjw4h7akXrmKNOpGu4JwNifdhyqpgjufY9dzJLas/fjkBD4yLgghR0oDW2ai1XWSeJ9I724ZHRCbx0VrxYEMw787uGxlHXJPOLldj42fSL8cFRL/H6ypNWS93fXZ9G9wgvrkoJZdXRAtaeMDd+SAxyY0RiAEMS/Aj0cOTl5cfb/T5XdQ9lR0Yp9/9wwGJsyCvLWfvIWN69PoVRb26k/JxOSrrmTkwqKiPe2mp3npa2eGdK61h6OJ/dp8vZnVlGg0nh0DOjGJzgz+Te4XxrI/NmWKI/0X6u/Grnd3cop5K3155i5og4Dj87CpOs4mSQcDjLbqC9lnmA+Tudhx2BhsbFwgUr6O0hCgJTB8dQ3WjCSS+REu5JlzBPnA06FEXFKCu4OepslrCD2SOlyWTbVVFV4b4fDrBi5iA+uKEHVQ1G3Bz1rWZSDc2i5W2jIUQL1/YIxc1Rb9ViACCrEk7kVdAh2JPV9/XDy8UJQTC/lZgUtVXuZFP7InnnoBiaTDLD39hkMdb5uVWkzx7L05clsSOj1Kq51t2DzRWc91l58JzNz/tyuH9kPKoKW9NKyCqrI7vcXC16ZdcQJqSE0Dvam502Ql6+rgYm9QrX4ucaGmdx0Qo6gKwoPDQqgSaTTFmtkd2ny9h8qgQHEe4blcgHN3Tnmg+3W6069XCSCHB35Ptd2VRbyWVvoaLOyHe7spg5Io5DOeUcyqniWL75v5zyet69PoXb+kex4WQx29JLrd5jxvA4ssvqWGenWcZl87aTPnsMXq4uzWcFCpklNZwoqOJUUQ1Xdw8lxNOJiV38WHDQeou4DkFuDIjzZYONgh+AGz/dzpe39+Wd61N44bdjRPg4E+nrQqSPC7H+rsT6u3Iwy374CODW/pGYZIVxb28m+5y6gQNZFfSL9eWjG7rT/cXVVjNqbusfpYVaNDTO4aIWdFWFr7aftppLPjQxkJQIL54al8Qzi9uO+7joWHjPAHO16PbTducQBXOz59pGE7d+sddi/NGfDtF55kA+vqkHfV5a2yZlEaBnpBdBnk48u/houx2FRFGkrknmsne2cLq0tk1zjXXHi1h0b39eubYHCw5ab4B9x8BojLLC3c32B9bYllFBdmktiYFufHdnH1RVxSiriIL5TEBRFERRQCcKNlMTPZz0TO4dQWFVg4WYA9Q2ydz/wwG+v7MP79/QnTu+2tv8/SAp0J1u4V7cNiASTc81NNryXwn6yy+/zOOPP87MmTN56623AGhoaODBBx/k+++/p7GxkdGjR/Pee+8REBDwV6z3L0UUBT7ZbP3g8+oPt3P0uVHc3C+SAHdHEgJcCfJ0QhTMYiWKArWNJsrb8S0Z3iGAYE8n3lx90up4TaOJO7/ew6JpA/j1nn7MXZtGYqAbHYLc6Rjsjr+7I4DN0EMLz46LR1ZUvtlxxmq/zmP5VcxeepxnL+9I+uwxxDxpPox01In0ifGhb7Q3V3QN5lRhtc12dy2ogoCsqGzPLOaZhUdIK/1dlB8YEce9w+O4d1isTY/2m/pGoJdEZn633+YcuzLL+HRLJrf1j+LArBE46HU46EStoYWGhh3+tKDv3r2bDz/8kM6d27rv3X///SxdupQFCxbg4eHBvffey4QJE9i61f5h3P83Jllpjd3aouMzq8iYM5YxyYEoqsrpklr2ZZVzKKeyNTXynUnduOHTnTZbzd3WP5JGk8xcK63UWjieX81ba1J5ZEwib0/qhlFWkAShVbyMssLrEzsz4f1tNk3Hbuofg4pg11/mi22nGRTvx6A4X448OwpRNDsznt0s41i+fTtfTyc94d7O/LIvl0d/tizeemPNKcanhDB9WBwbThZbtOhzc9Bx+4AoKuub2JNVYXH92WxPL+WOgdGcLKrhYHZla6Vodlkdsy5Nol+MjxZD19A4iz8l6DU1NUyePJmPP/6YF198sfXnlZWVfPrpp8yfP59hw4YB8Pnnn9OhQwd27NhBnz59/ppV/wXoJJEvt9uvFoXfPVLunb/P4oA0zt+VG/tGcv/IeP6zKtXi2vgAV/rG+LLRTky6hc6hnq2NOc7NzNFLIh2Dzd7qLy61zIiJ9wFZgZXH8tv1YvlhdzbDEv3BKPPdriwyimubK0ZreXJcBy7vEsx3u7LYfdp6HPzDG8054h/ZKWQa+9Zm9j09krcndePHPdlEeJvj7FG+Lvi6OqCoKi8ssV9wBXD3kBiqG4xca6U93yM/HWLtg4MRRaHNA0lD42LmTwn6tGnTGDduHCNGjGgj6Hv37sVoNDJixIjWnyUmJhIeHs727dutCnpjYyONjb97qlRV2c89/itQVZWi6ka7h38AH0xOQd/skWIt2+XpxcfoH+vH9GFxHMqpJKO4luQQd5JDPOgc4kFyiAcmWbFbNARmm4BRSQF2wwmiKDBlYDQ7MkpZc7wIT2c98QFuxPu78tzlSUiS2K5TIsAt/SIwygrJz66yGJv16xF6RXnz6c096TF7DU1WTiO7hbe0srOsJG2hpknm7bWnuG9EPDOHx6GqKjpRQMGcFumoE7kqJZSvt5+xGWdPCfeiZ6Q37623/mZTUNXAs4uP8trELu1+Zw2Ni4U/LOjff/89+/btY/duy44+BQUFGAwGPD092/w8ICCAggLLZssAL730Es8999wfXcZ/ja+rga5hXuyzk5ExvEMAmSU1NrNPAIa/sZFjz4/m45t6tP6sySRjUlQq6owEuDvy0OhEq+GJFm7sE4GCithOPrVJUXjn+hTqm+TWVEdFVVFk88OmR6Q3++yEMZKC3Okb44vRhlNhdaOJe+fvY8Fd/fjq1p44CjIdw7wRRbE1DVIQBLut7FroEOSOCnR8ejnnPguvTgnh1YlduGdoDG/bCEXdMzSG+iYTr9s4ewBYsDeHcZ2DGBDrS8tj4ey3G63oSONi4w8JenZ2NjNnzmT16tU4Ojr+JQt4/PHHeeCBB1r/XFVVRVhY2F9yb1sIgoCqqnx8U3fGzN1MsRXXxSu7BCFJAp9baXR8LjsyShkc78e3O7KYv+sMJwp+372+PKET1/UKZ8/pMhbstcxXd9JLTO4dge48TKZ0ooiAyqGiCo7kVrE9vYRt6SXUNSlkzBnLo2MS2ZVZZhG3bmHKwCiMssLwVy292VvYl1XBO+tOMXN4XJtWc1X1RspqGwn3caF3lI9dS4Rwb2fGJgdxOKfCQswBftqXy9U9wpg5PJ51J4raVIR6OusYmRTIiA4BfLfzjN1m3gAHcyoZGOfHov25ZJXVkVtRT25FPaU1jXx9e298XR00Ude4aPhDgr53716KiopISfndulSWZTZt2sS7777LypUraWpqoqKios0uvbCwkMDAQKv3dHBwwMHB4c+t/r9AJ4p4OOn56Ma2ueZ+rg50DfdkzgRz0dAv7bglBns4MiTenyN5lTy92DL98bFfDtMz0pvZ4ztxOLeSEwXVuBgkEoPc6RDkzuB4X1wcpPNas0lW+GV/rlUnyVs+28Wnt/bivckpjHlrk4XfSpCHI5d3DUYEsiptHwSDOZ1TUeGZRYc5mltFZmktFc3Vp1seHcqM4XFsSi1mv50Hh6yqTPlqj805bvtiF7ueHMk3t/emusGEh5MeR73UWnRlkhWrD8CzcTFI3NY/khMFVTxoJaz1yE+H+PK2XnbvoaFxIfGHBH348OEcPtzWk+TWW28lMTGRRx99lLCwMPR6PWvXruWqq64C4OTJk2RlZdG3b9+/btV/ETpJpEuoJ+/f0J0mk0KPCK/WNEFFUVARSAx0Y88Z22GZyX0iUFS1tXWdNca/t5Xtjw/nmym9aTQqhHg5medQ1XZTBM9d7+c2/GU2pZVSWduIv7sDr03swupjhcT6uxLn70pioDtBno6oqsq37RwEO+hEbu0fSWphNd/ssCzvH/nmJg40H3iOeWsTtees39vFwHU9w8mrqKfYivFWC3VNCpIAzk560opq2JVZ1lotWlDZwDuTuvHhjd3pOdt2X9FJvcNxcdDx1EJLnxyAjanFLNiTzYSUUG2XrnFR8IcE3c3NjeTk5DY/c3FxwcfHp/Xnt99+Ow888ADe3t64u7szffp0+vbt+4/KcDkbURQYHO+HINAm7CGKIiZZ4cMbbYdlHHQik3uHU1FntFog00JVg4lf9uVwfe9wjudXsTG1iC1pJWw4WURdk8Kc8clc2zPcruiYZIU9Z8o5bietsMecdaTPHsOopABGdwykySQjCAJGk0JWaS3eLnom9grn2WXHkG08RyakhODhpOeubyyLoADqm2Qe+/kQr0/syuzxnVh+JJ8IHxcifZyJ8nUlPsAVSRSses6cjXez7e2SQ3nM+M7ys4/8fIhPb+7Jq1d15hEr5w8GSeSuQTGcKallf7Ztw7EXlh5jaKI/Xs4GTdQ1Lnj+8krRN998E1EUueqqq9oUFv2TsdVsWCeJuDvpeW9yCpM+2tEmI+OKrkHc2i8KT2cDD7eTxWKQRC7rEkxqQTWXvmOZj//cb8dIifAixs/V7lrsdSRqoVFWKaus44ZPdnK6rO1Dpl+MD99M6c2qmYOt9jgVBJg6KIaCyga7MfKF+/OYPiyOK7uFcGW3EGRFwSSryKq5PZ8AjOoYaPeAdvX9g9BLIh9utP6d1h4v4qe92UxICWH+rjMcaBZtZz1M6hXJ1d3D8HE18NBP9n/3VfUm0otqmrsxaYKucWHzXwv6hg0b2vzZ0dGRefPmMW/evP/21v8I9JJI9wgvlkwfgKezAU9nPTpRaC1okRUVVwf7v8ZLuwTh6Wxg5vfWKyMbTQp3f7OPZTMGIgoKkiiiqiomWUWSfs+zTiuynSoIML5bME56iXfWp1uIOcC29FI+3JjO1MEx3DcirrWS09fVQIyfK/1ifYn0deExOxk5Lbg76ckureXBnw5aWP9mzBnLnYOiWXeiiF027HzdnfRsOVXC0TzbaarP/3aM4Yl+LLynPyZFNac/NvvOg7ng6kSe7d05mDs+9Y72aff7aGhcCFzUXi7niygIJAa5U1TdwMbUYg7lVHI4p4JTRTV8cWsvnhjXgY2pRWSUWD9svH1AFCU1jWxMLbE5R2ZJLfM2pPHQqARqGkycKDAbeJ0sqCavop73b+jOvMkpjJ+3rdVv/VyeGpdEZb3RrnXtf1alMiDWl2lDYxmW6E+MnysuzQ8k80NE4aSVDk1nMzY5EF9XB+5bctyqj3uf2cvZ+sRY3rq2K6Pe3GTRiHvTQ4PbbWAB5lCVXidR3WBiY2oxueX1rdWiCPDpzT3Y8PBQEp9eafMe04bFthZsaWhc6GiCfh4YZYV1x4uYaiWufOfXe1g2YyBLpg8k6RlLYZkxNIaOwR68YSefuoWhCf4YTQrJz1re59GfDvHmtV15dGwCLyyxrBZNCHDF09nAu+vT7DbINikqq48XkhTsQbCHI3vOlHEsr5rdp8s4U1jLiocG8c713Rj9puWBZ+taxiRSVNXAkkPWGz0X1cKBrHJSIrxYcd9AJFHAw1GPJApIzW83TSbFZpZMC5d2DsTFoOPpRUet9oB9Z10aM4bH8dY1XbjvR8vQS0KAGyM6/PM8hDQ0/i40QT8P7Lkqnimt44EfD/DhjT3Y+dgwZFT8XB0QRQFZAYNOxCgr5FfYPjQFSA5xp3uEF/vOWA9RLDqYx5jkQG4fEM329FI2nyohxs+VuABX4gPcuK5nGIIA37STxWKQRG7uGwmqSg8rGSSrj+YzOjmIZy/vyMNW0iM7hXgQ7uPMnGXH7TZ6nvjhDjLmjCXUy5nCqgYO51aSWVpLVmkddU0yT1+axNLpAxj2H9s58S9ckUxlvZEFey2bhwDMW5/G2OQgxnUJZvbSYxTXmlMrnQ0iySEe3D8iXtuda1xUaILeDrKikFVWZ7dadOXRQrLKagn1ckYUBCrrjRzKqeBIbiWnimp4+tIkXprQmUWHc2mykcl3W39z0c/1H2+3Oc/d3+5j71Mj+OCG7ohnmXc1mszt4URBYHTHAL6x0U0IzPF8H1cHymsts3YA7pl/gJMvBjKxRxgbThbz+oQOGAyG1ipRc2Wqwve7rItsC4HuBhQVvt522sJ+GMDfzYG7BscwZUAUn1ixLOgV5YW7k4E316TSYLT+xmGUVR748QCL7x3AjidHUNso46AXMUi/dz5S2/Mc1tC4gNAEvR0EQeCLbe2beAV7OJFaWM2tn+8m/xyDrOLqRr68rRdHnh5D/Fk9NFvwc3Xg8i7BlNc10U7/ZSTBHAJadriAPWfK2ZRaRG6FeT5zN6GO7D5dzslC63HwOwdFY5IVur2wxuYcCU+tIG32WOZO6tqayikrKrnl9RRVN9A9wpuDT49oteC1xkc39UQUBD7ZYj2L5a01pxiZFMAjYxJZsDeLyvrfwzsB7g7Mm5xCk0nhq3b85lMLqymva8LTSc/KowXkVdSTU1FPXkU9vSK9mTE8zu71GhoXEpqg20FRVRRF5Zd2KhYfGR2PJAp8ujnTQswBNp8qMcd7h8WyYuZArv1oGxO7hzOsgz9x/q64O+lRVbjnG9vFSQBJQW64ORmYuzbVqgfKuHc289v0gbw3OYVx72xus7MVBBie6E9ioDuyrST0czhdUsvspSc4XVpLdllda4jly9t60i/GlyNPDSb5RcuQiUEye7ksO5JPtpVsG4Cm5jZ1i+/tz47HR1BeZ8TNUYejXmpN3SysbKCq3v4T7oquIfi6OvDOulT+s6qt//qOjDKGdQigQ6CbFnbRuCjQBP0smkwKeskcWmgwypwsqKZLmCfLZw5kwKvrbV43ZWA0VQ0mFh+0fkgIMHdNKsMT/YkPcGP/06NbU+9yy+vZll7K0AR/5k1Oodcc25WRb0/qhqKqfGulghPgREENyw/nM65zMK9P7MLx/Gpi/V1JCHAj2s8FR72E0aQwb72l1e/ZnHphFDpJ5J11aay34kj50IJDrHlgMC5Ozlavnze5u90c8xaO5lVR02hCFAROl9ZyprSO7DJzFkuwpyOPje3Ag6OsWxOD+SE1bWgMRpNiIeZgfqt46MeDLJ0xwO46NDQuFDRBb6bJpPDzvhwOZldwINuckigrKs9e3pGb+kTwytWdePQnyxLzpCBXREFg/s4zdrNLFNXs+1LXZOI/q1I5nl/FiYLq1pS+Jy7pwJSBUbx6dScesTKPq0EiwseFhftzKbXTJWnG9we4tHMQ4zoFMaZjYGvjjcq6Jg7lVNApxJPpwxJ4a61tsZUkicKqBpYeyrc6XlzdyCM/HeLDG7uTMWcsKub4vaqq5qbUgoCsKBzOtZ8jfnVKCB5OBqZ+vZeVRy3dOHtFeTN1UAw/7s62Wok7KimAKF9XftpjO55/srCad9ebs2E033SNCx1N0DHHpH/el8Pjv1gK6eylx+ga5smEbqEsO5Tfmkv+3vVdGNkxCEkQAIFv7RxEAkT7OuPurGfe+nSrKXivrjhBryhvxncL5cfd2ew5UwGYd6Ehnk68eU1X9Ha8XFpwdjI35dh8soDbvrQM4YzvFsKb13YlY85Yop+w7C167OmhgMCnWzLtZrGsPFqAqqqIzTH2kppGMotrySipRS8JTEgJZeV9Axn91mab93hgVAJZZXWsPmbdWvmxnw+z7sEhfDulN4Ne29D6c1EAfzdH7h0aR5NJ4SEr2Thns/5EEfeNiLf7GQ2NCwFN0DGnJX5jRWTBnElx19d7WX7fQD6/pSdgbn7c4gpYb5Rx0ot8dFN3Lpm7xeYc716fggB8a2Mek2I2+Fpx30C+u6MvC/bm0DHYnfgAN5wMUvNaFGob7ce/9z4+Gr0kMm+DdeFfuD+XIQl+jOscxNLp/Rn3zlbuHhDK/aOTkEQRURSRZZnv2nlATegaiKyofLcriznLjlNv/H1dggDBnk50j/BiWIIv605aFlT1j/EhyMORJxYettm+r6i6kacXH+GNa7qyYGpfZFUlzNuZAHcHdM3VtAfbyWUHuHNwjJa+qHFRcNH/CzfJCgezK+yWoBdUNdBkkkEQ2HW6jM+2ZjLt230MfHUdSU+vYO3xQuL93bh7cIzV6yUJYv3dWHo4nyIrJl8t5FbU89X2M0iSwMQeoXQO9WgV8xbem5yCXrIdOtBJIkdyK9lrxyHyqYVHqGs0kRDoTuqLY3lkXGcMej2SJJl35YLIugcG2rwe4PVruiEIAu9vSGsj5mC2333wx4MYZYWPb+5p9fpnLu9IRZ2xXXvitceLzFk54Z70ivTCz9WBmgYTx/MrKa9tItbfDX832/bLUb4ujE0O1MRc46Lgot+h6ySx3dQ4AG8XB1YeKeBuKza59/94gBUzB/HAqHgWHcghr/J30b5/aCTThieg04l8sdV++qMowOVdglGbTa7ORS+JJAW588iYRGZb6S26ttnwyl6/TzB3JnI26CirbWLh/lwySmrJKK4ho7gWk6Ky5oHBeLk64u8ERVaSVMI9nJEVWHokz2YP09yKep5ZZG4Rt2/WCH7Zl0u4tzPRfq6EejmhEwUW7M2xe+4AcFPfCARBYPSbG0krrm0zFublxLoHhzBnQiemfGnde33q4GgURUW08xDU0LhQuOgFHWDDyWK74x/cYM7a+MpGFWZVvYk7v97Dwnv6s/mRYbScvRkVtbXIxaQozL6yI2Pfth2WGZLgT5i39cyRFkRR4I6B5mrR1MJqc1/RAFfi/N2I9nelqt7IssPWDzNbePrSRCRR4K01p5i/yzK0ct8P+/l2Sh92zLIeZ1/z8CD0OpGP23lwLNibw4OjEvB3c+DGvhGoqtl+90xpLb6uDlyVEsonmzNIP0eoW3DUi0wZEMWpwmoLMQfILq/nky2Z3D0khss6B/HbWYe4gmBu4n11Sqi2O9e4aLjoBV1WVGaPT+YuOzngwxP9ySiuYXuG7WrRI7lVVDcY8XZxoNEoc7ygmkM55lBOWlENb1/XldgANwbFeLAp3Xr2x+0DzNWitix0W9csK3x2y++hDJOiIMtmN0J3Jz2XdAqym0J5c98os0f7fuv59VvTSvl4cwa394/i1AujANr0FTUpKrsyy+yGqQD6RHsT6OFIZnENQ88p8fd01rH98RG8cW1Xxs/bajWOPrF7GO5Oeu742nbno1dWnODyLkG8OL4TQxPND8RQLyf8XB3QSWZPew2Ni4WLfusiiQJjkoOYOija6vhlXQKRJIEvtp1u915ujnr2nimnw9MruHLeVp5edJQfdmez90x56wPji9v7Wb02zt+V/rG+7Yo5AIJAZZ2Rn/Zmc/sXu4h9YjkJs1YQ/cRyZFnh5as6EebtZPXSYQm+IMBX20/bLKkHeH3lSUBFp9Ohb46v1xsVjuVXIQBJwe4EedjvKzt1UAxGWbEQc4CKOhPPLT5KpxAP7hho+bt3c9Bx95AYcirqrTo6ns289ek4GyRGJQUQ6O5IfkUDyw7n887aU9Q2mpDba0yqoXGBcNHv0MHs9/HomEQO5VayM6OU+AA3uoR5NqcrhiAKAkts5GS38P7kbuglkc+2ZFrdbR7OreT5347xwpXJpM8eQ0FVPYHuToiiiKqad9lNJhmDrv3+opIo8Mzio/x6wPJA8aVlR3n0ko68OymFq97f1ib10N/NgQ9u7IGqYjN81MLbV3dCUWHlkQI+25rJ6ZLa1vz3sR39efv67vxnYhcmf7oTa3Ypcf6uDE30p6LOds7897uzubZnGA+NTiDQw5FAD0eifF0I8XTCzVGPoqq8uvxEu7+PSb3CkBWV5GdXWYydKqrh7Und2r2HhsaFgCbo0FoI89ktPREAR72EqqoYZXN6oqyoPDgynid/PWLzHqM6BlJS02i1QKaFr3ec4clLEtBJEiFergBU1hs5klvJmdJarusV3u5aVVWlrLaJpYeth1Q+2ZrFPcPi6RTqwc9398Wgkwhwd8DFoMNBb35Y1DWZqK432p1nZOdgEAReXXmCM6Vtfd6XHy3idEkt/WJ9ublvpNW3lzsHRWOUFUZb6Yx0Nq8sP8HXU3ozqVc4dY0myuqa2JdVTmZJLdf3CmdS73A+33ba5uFp3xgfOoV6ssBGcdHig3mMTwlhwPm+/Who/IvRBL0ZnSRy9uZYEAQMOvPppiQKTO4Twb6scn62kmY3KskPEPhq+2m7xTgAekmioKqBJxce4Vh+VZs0xqLqRmYOj2t1CrSGosIX205jlG3Pk/LCGjLmjCU5xJOssjp2ZpaRXlRLWlENJkVh7nXd+OK2nlz30U6r18c5gazAuhOFFmLewsg3N5E+eyxPXNKB0ppGPJz0RPi6ENGcyRLt54KqqhTaaRQN8NjYRBpNCr1nr7HwX08rrOH5K5K5f2Q8L9vYqU8bEkuTSbFq9dvCk78cZu2DQ5AEtdWhUkPjQkQT9PNEUVRemtCZo3nmkv1gD0du6hfJoDhfEgPdQIDv2rGU/fb2HgiiuQpzQ6plZs3ba0/RN9qHlAgvm7tJRVWZ307Rz4BYb1QE3l2fxpurLX1QonxdeGBkPJN7h1utcF3x1BgkSeSjdnqYXjlvMz/fM5B3rk9BUVWMsoIkCogIyM0PtpRwD/ZlWT8EDvF0JDnEgw83ZVhtpvHNzixuGxDFnQOjWXGkgAPnFBENT/RnQJwv609Y+s2cTV5lA1vTShgU74dBE3SNCxhN0M8TURQQVJXfpvdHaW5cIQgCTSaFRpOCk0HH2ORAu7HpfrH+NJoUFuyxnl2iqDD9u/2sun8Qrg46BAEUBfS638VdEGDbI4NIeMa2/e0HN/RAUVWbzS7e25DO0AR/nr40iXXHi8ivauCpcYlc0TUEL2cDKnAwu8JucRKAo0GPQSdS19jEgFc3UnaWx0ywhyOrHxjMd3f0JWGWdZvdF8d3QgW+2Hra5hzj3tnCwadH8vktPSmrbcLLWY+TQcKgk5BE8+//sV/sl/6HeTsxLNFf251rXPBogv4H0EvmePoPe7M4nFvJ4ZxKUgurMSmq2Yv80iQOZldwMMdyR9o7zA2TorJgTw7VjbYtYYuqG/ntYD6TeoWx9ngRJwqqSS2s5kRBNSU1jSydPgB/d0em9Q1k3nbLeL2Hsx4HvcSiA7kU11ivSpUVlRnf72fjQ4PZ+MgQROH3ptdKc19RZ4OEg060W/jTksWS9Mxqi7G8ygaeWXyU1yd2YcFdfZj4wY42464OOvrH+PLT3hyb6wRz3vrBnEp6RHiRX9nAztNl5JbXk1tRT1W9kZev6sz7k1OY8L7txiBTB8WgqCoimqBrXNhogv4HMMoKK44U8JSVw9FBr65lwyPD+eCG7oyZu5nK5kNHg05kUJwvH93YHVG03cquBSe9xPhuIUiiwJ1fW/YwvefbffxyT38evKwb87ZbFv0svqdfc7aN/Xmq6upREDhZWM2yQ/mt1aJZZXXsfHwYMX6uPDgqgTnLLCtSAaJ9XRiRFGC2RLDBT3tzGJscyOB4P76/ow8eznp8XQ24OOhw0JkPnrel2c7tB9CJ5rZ3K48WWK0VCHB35KHRCVzeJYjFBy0zkfxcHbimR5hWXKRxUaAJ+h9AL4lWnRIBciub+GhDGlOHxPLL3X1RVAj0cMTZoENqftWXFZX4AFfSimpszjG+WwguDhLZZdarJw/mVPLqihM8NjaR9Nlj+GzrabpHeBPh44yrg3muE/lVHMu3X/Sz8ZER6CWRpxYetnij6Np8qDplYBTrTxRZLahqKYK64t1Ndud5a80phncIoHukJ9ll9RzMriS73Ox7fuegGJ6/Ioklh/Ospj4CPDImEUe9xHsb0q2Of7Qpgyu6BvPShM6sOlpIwzlvFLcPjELTco2LBU3QzxNZUckormFXpvUmzgCvrT7F3UNjifF3I62ohlXHCjmWV8XRvErSi2r5+vZevHFNV3ZnrqPYRvbH7QOjkBWVQa/ZTvf7aHMG1/YMI9rPlTsGxSArKjnldew+XU6olxPJIR4Mjvdjo5WD1xZcm4ugrIWHALq+sJy9T43lreu6MvGD7fi6OhDl60ykrwuRPi6MSQ5EEuB4gfUsmBau6BqMUVbo+9I6Ss75zqmFNXwzpTdvXdOVmT8csHr99b3C2ZFRyiEb6zQpKg8uOMjiaQNYOK0/+7PKCfZ0IszbmUB3R1wctH/iGhcP2r/280QU4MvzqBaVFdh0qohbPt9tMXbXN3tZPnMQv9zTn4FWOiCNSfIhxs8VUzst4gTB3MN0w8kiXlp2gsySWpqaS9xFEXY9MYI3r+3KyDc2Wm2GsWhav3ZNvKrq4VR+JfHBHmx6ZGjrz5tMCoIAOlEgvbgSSfw9o+Vc3B11TO4dwcHsCgsxB9iSVsL8nWe4pmcYX+84w55zDmGnDIjC1VHPe+st2+2dzZFc8xtJYqAbMX4u6EQRQTDn7JtkGUEQW9+SNDQuZDRBP08EQWBbuv1477oHB6PXiTZtAk6X1vHITwd55/oUFt/TlyAvZ7xdDAiYd5o6UcRoUhj6qv1inOlD43A0SLy99pRFM2hFges/3sHSGQP5zzVd2jxYDAZ4ZGQiycEe5JbX22ws0fp5va55TTK55fW8tuo4Sw+bUwQn9Qpnzvhkpg6KthkOub53OA46kacW2S7ImrPsBMMSA/j05h58vzubUC9nIn2cCfV2xsNJT2W9kS1pln7qZ9Ml1IPkEA9kWbZowu1ikFj30BB8XA2tDa81NC5UtH/h54lRVnj16s7o7Oz0InycySmvsxvq+O1QPrWNRjqFeeHn5ohJUTmaX83P+3J5a20qoiiw6bEhdtdyU98IDudWsi+rwup4amEN76w7xZAEf9LnXELGnLGkvjiG489ewpSBMcgqnCqqttlYooUoPxcKKhtIfHolQ/6zsVXMAb7blcW+M+U8MDKeDkFuFtfqJYEpA6PJKKnhRH61xXgLNY0mvt+dhZuTnlv6RzK8g9lgq6K2CUVR8HDSc0OfCLvrvHuIOdvmsrcs0yNrm2Qe/+WwJuYaFwXaDv080UsiKRFePDw6gZesVC0+OCoOAbOJl60DvhYMOolj+VVMn7+f06W1bYTVJKs8PDqBA0+PpOvzlumAwxP98XF14Pklx+zO8fbaNKYPi8Mom3t7niqsIb24hvSiGp64pANDEvwZ3y2EhfutN5h4eUJHBAQ+3pxhM6Ry02e72fXkcN6+rhuvrDhBuLcz4T4uRPo4Exfghq+rAwfO2H+rkUSBa3uGoSoqCU9ZCnL67LE8fkkH1p0oIsdKX9FoXxdGdQwEVeWYjefouhNFLDmUx5iOWqMLjQsbTdD/AKIgMHVwDPuyyll/spih8X4M6+BPl1BPYvxdUVSVJXZsawHmT+mNXhL5eFMmGSWWmSzvb0ynX4wvfaK9eWpcIi8uPcHNvYJ44rJO6CXJbF9rMrXref7pTT3QSyL3fX+Aped8dtPczZx8YQyzxyez+3SZVaG8tmcE9UaZH3fbrn6tbTLx/JJjvDS+E5/c3BNZUWkwytQ0miiubsDXxcDQDoF21zmuUxBBHk4cyrZexPT9rtNc0yuSlyd04oZPd1mM3zk42tzM+xfb9scAH2/K4NLOwXY/o6Hxb0dQ1fb2k/+/VFVV4eHhQWVlJe7u7v/r5VggKyqyoiKJApIooKgqWaV1HM6t5JJOgRzNq+Lyd7favD5jzlgq6030nrO29SDzXHxdDay6fzDujjoUVUUnia0d62sbTTjoRHLLahj8H9sNmNPnjKWkpol+L6+zusPuEuLOT/f052B2Bdd8uB1REAjzdibaz4UBsT7c2CeSz7edttoZ6WweHBXP3UNi+HHXaZ5cdLzN28k1PcJ49erOyLJMzJPWq0WXzxxInL8rsU9a5tS3fpfZY5AkiW93nMGoqIR4OhLu7UxwiyujolhtxHE2L1yRzKReWj66xj+Hv0PrtB36H6RFxF9afpxDOZUcza1s9SHZnxXJ05d15OHRCby28qTFtVd1C0ZF4KsdZ2yKOUBJTRPb00sYmRTAtzuzSC2s5mRBNacKaxBEWH3/YIK9XYn2ggwrG9sbeochIPDZlkyb4ZKDuVWsOJLPuM7B7HhiOD4uDm3y5VVU/Fxt9+oEcxHUzX0jEYEnfrUU/h/3ZDOucyD9YnyZc0UHnljU9jP9YnzoEOROcbX1NnYtxDy5grTZY7m2ZxiyqqITBERRQFVVZFlGReDSzoEsOWT9kNfP1YFre2pirnHhown6H8QoKyw5mMcnmzMtxj7bepre0T5MHRTNxtSi1sYM3cI8GJ4UyD2DowGVb20UJ7Xg7+bAmORAFEXlud8sY+X3zt/HD3f2Zc3D1lvEPXNZR5pkhe/thEsAXlhynHGdgvB1dSC3vI5jedUsP5zHrwfzSX1xLFd2C2HVsQKWHbYulFd1D8XNUcehnAqbczz602HWPDiYa3tHkl7aQJi3MxHe5nz2EE8njLJCz9lr7a7zucuT0Ekit3y2y8LUzMfFwPqHhvDWtd1Ycsj6Lv3W/pFacZHGRYEWcvkTjJ+3lf3nOP+14O6oY/nMgfi7OVLdaMTNUd/qnFjfJOOoF3n2t6N8uc22qN8/Mp57h8YwY/4+lh4ptPqZ+0bEMXN4HLIs0yirODV7nZvtewXWnSjirm8srQPO5qFRCdw9JJoJ87ZyMNeysjRt9ljqmmSGv7GR4uq2fiuiABseHkqwh6PdcAnAo2MSuGtwDEpzIw+dKCAK5jcdSRSpbTTS8RnL5hQtHH9+DNnldYx603pV6lUpIfznmq4czqngsnPCXW4OOnY8MRxng2TXllhD4/8bLeTyP0aWFVKLamyKOUBVg4kTBdUEejix+3R5a6Xo0Tyz9/l3d/ThyUuS2HyqhAwrjY8NksjNfSMQwKaYA7yzLo1LOgUR7euCi4NIeV0TqYXVpBbUMKlXGCOTAugc6mGzwtJRL3JT3wgajYpVMQeYu/YkM4Yn8PrEzjy58AgRPs5E+rgQ4eNCh0A3wr2daTTab5QhCjCuczCyoloV/g9uSGFEhwDuGhTFB5ss33qmDIjCySDx3nrrue4AP+/LZUJKKL2ivHlwZCx6SUeQpyOhXk5EeLvgpNfEXOPiQBP0P4Aott9bVBShX4wvyw7nM/27/Rbj987fx6r7B/HDnX3p/dIazm13OSElBE9nA8vbyWJx1kuEeTlTWtPEmLmbKK/7XVjfXZvKlseH886kboydu5k6K17jE7qZwyXPLrZd9PPOugymDoplcLw/Wx4dBtDG91xRVPSS/ZZ5I5MCCPd2xmSy7jA569ej9Ivx5eHRiVYFfeaIOAoqG1hyyH720Acb0+kf68u0YfGYZAVBEFprBtrLt9fQuFDQBP0PIAgCmVZSDc9m6qAYnAwSX9lwVSyqbmTm9wf48rZezL+9D78eyCUxyJ2OQe50CHLH1VGHSVaY8b3lw+BsJvYIxUEv8uBXB9qIOUBhTRMLdmdzba9wZo1L4vGFh1vHEgJdubFPBJd3CcYoq3y53X6zjFdXnuTZyzuiKgrbM0p5auERTpeZ0xxnDI/lvhHxpL04mtinVlr/fQw2F/3E2Rgvrmnk6UVHeeu6rqTPHkOdUcFJL6GqoGIuUPp8a/udoK5KCcUoK9z51jrWF7cNDz1xSQduHxCllf9rXPBogv4HMMoKc6/t2sYe91xu6RdJamE1u0/bbg6xMbWYH3Znc3X3UHpHe2OUzXFlVYWaBiPODjoeHJVgs+2aKMBtA6KoazSxxYb97BO/HuGyrsFM6h3OhO7mRteqarbzbaHBaNuXvWWeOwZGoyqq1bTD99anMzopkPhAN5bency499vu9lPCvUgJ90Jux5vm1wO5PDY2AX93R+qNRlILqzlTWkduRT13DIzm2p5hfLgx3WpXI4BQLycu6xKMrCgWYg7w1ppULu9iPvzVMl00LmQ0Qf8D6CURPzcH3rymC7d/tceiIrRHhBf+bg68tcay7du5dAv3pMEoM+mj7Rw6J4a9+v5B3DU4hm1pJWw6ZeljMjTRn1AvZ95ed8ruHDd8uJWf7h1Eea2RfVnlZBTXmqtFi2sYmRTAtKGxvH51Zx6y0Y9zRIcAwuyES0yKyn0/HGDZzIF0CAtjx2P+eLkY0EsiCuZ8fVlWmP6i9Rz0FnpFeRPo4URRdQO9zsl4OZpbxbzJKTwyJpFnFh+1ev2UgdGoqspNn+6wOl7XJPPEwiN8dktPq+OyoiBp1gAaFwCaoP9BdJLIsA4B3DUoht8O5ZEc4kHnEA86h3rQI9IbQRBYe9x+j8teUd7EB7jx8vLjFmIOMObtTRx9dgxzr+vGqDc3UVLbSIinE/EBbsQHuHJ19zCMJoU3Vtl/cPwyfRCSKHLDpzstPNiP5lUxON6PK7qF8NGmDFKteLTfOSjabrgE4FRRDV9sO82UAVEEejrRYJRJL64hs6QWk6JySacg5j41hmU2CosA7mqe51wxB1hxtICTBVXc2DeCxQfzLNriebsYmNQrDAHYkVlhc451J4qobTS12uk2mRSKaxrJK68nyNORAHdHm31cNTT+LWiC/idQVZVHxyby6NhEwCwOLZWjsqLy/BUdrXbXaeHmfpHUN8k2mzDLMtz02U6+ndKH5fcNxMWgw8nQkpaooCgqggDHnh5K0vOWNrwtKCpsO1VstaGGrKjM+G4/K+4bxOLpA0ictQJXBx2Rvs5E+7qSGOhGj0jvdsMlAH2jfZAVld5z1rSx6xUE+O6OPnSP8GLm0Gjmrrf8vrH+rgzrEEB9k+3wz5XztnD4uTG8PrEzH23KINjTiWBPJ0K9nIj2dUUnijz/22Gb14O5iMlJLzFvfRqfbM5oc+6QHOLO4mkD2v2eGhr/dDRB/xOcmwJ3dlxaEgXGJAdxU98Iqw2jA90dGdMxkOVH8i0yXM5mV2Y5uRV1hHu7kF5Uw6HcSpYfymPNiWJ8XAysfmAw7o6O3OoEn1tasXDo6ZHoJZFPrRRAtXC6tI7nfzvGnAmdOP78aJwMv/9zMMoKxuYHlT16RXm3Wtee672uqvDQgoOseWAwM0YkWBX0Owaad+dj3txgc44m2ZzFcu/QOOaM74RRVhHAXCzU/Hdx15A4vtxuu5DqjWu60GCS+XBjOlUNbR8eR3Kr+GrHGW7sE66FXjT+1WiC/jegqipPX5rE/qwKDudW0iPCkzsGxtA13BMfFwOg8kI7bonJIe5E+rgiyzIjzymoKa1t4v4fzJkys2aN5XMr1aLODjpOl9Sy8ZRtK1+AvErz08BRL6EoCoqicCy3gsvf38nsK5O5rlc4x58bQYdn1li9/o6B0RhNCnFWnBIBcsrrmb30OC9cmcyp2WOYvfQEYd5Ozb7nLsT6u6KqKmfKbTeKBojwcUFRVca8volT57Tne+GKZK7vHcbVKSH8tM/SPTIhwBVfNwc+3pRhIeYtvLHqJJd3CcbDSa9lw2j8a9EE/W/AvINXWXhPP5SzMksaTTKnS+uI9Xfl7eu6ce1H1g/xwJwtY5QVrn57i9XxjanFfLI5g9v6R3HqhVHUGlVcHXS0nNOKosCKIwXtWvlOGdAcJ7dS9DN72XEGJ/gR4O5IShDsOyc1PsrXheEd/Glvkm92nuGeITEEuDvy9KVJGJXmEJVg9mPJrWzAUS/SYLT+yhLq5cRlnYMprKq3EHOAV1ecYGynQF6a0NmqoH9wYw8UBbuNs6saTLyz9hRPjusAtBX0RqOMTtK6Hmn889EE/W9CJ4k0GGW+2Ha6uVq0itOltciKyqc392BwvB/juwaz8IBlwYyPi4EruoYgCXCw0HZD6VdXnOSKriH4uhpwEVVOl9ZxoqCKtKIapg+N5aZ+EXyz84xVe1yA+ABXBsT50mSyHieva5K5/4cD/DC1Lz9NH8uw/2w0V4r6mj3Pe0d5IysqJ3Pse8Z0CHQnyNMJRVHo8NxyGs/ajF/bI5Q5Ezpz34h4m2matw+IQlVVbvhkp9Xx6kYTs349wvs3dGfZjAG8uz6NIA8ngjwcCfIwx9oX7MmhuMb+W8Blzbn5D/y4n/zKegqrGimqbkBAYOPDQ/BxddBEXeMfjSbofxNGWeHnvTlWRerBBQdZed8gXp3YhdUniqg5KwzQN8qL565IRhQENpy0Xy0a5u2En5sDiqKQOGtFG2fFvPJaZk/owtzrujHxg21WqyVvGxCFUVa4dK7tlne7T5fz5bbT3Nwvkg0Pm3uLKoqKqXmXLQoCiSEhgO2K0ykDm+d5Y3MbMQf4YU8OUwfHcOfAaJYeyudwblurAk9nPZN6hVPXJJNRYrsh9fIjBRzJraRDkBvvTe6O3LxGnSigqNA13NNu/9MQT0c6h3rwyZZMFlvxtH/2t6O8N7m7zfk1NP4JaIL+N6GXRKuHogAVdUamfbuPH6b25cCsEciquemyrPwenjHKCo//YlskwZwtY5QVzmRadhX6cW8eD4/pQEq4J3cPiWXeWY2WA9wdSAhwY0K3UCQBUout7+BbCHR3RFZUFBQyiqqZ8sVWsirNB8CLpvUnIdCNLycnc/O3lusNdHfkiq7BCMDJUutvG5e/s4V9T4/iP9d04d11aYR4OhHiZd5Zx/m7oZdE7vp6j901Bnk40iHIrfVQ05x1ZM4MkoAOgW7c2CfCpnXDSxM6o6rw6Rbrh8jLDhewPb2EnpHeWnGSxj8WTdD/BoyywoHsCosGzmez50w5dU0m3Bz1VNQ0cjS3kuMF1ZzIr6beKDPv+m5semQ4CbOsHza6O+q4pkcYOlFgxCeW3usAPWevJWPOWHPfz0A3ov1cifJ1aU2BNMoKiw7k2P0uoV5OjO4YCKhEP9F2LXJzYdHymQMZ2DEMa7v0W/pHoqrw9hrrawSoaZL5bEsGdw6K4e1J3TDJCrKqNle3mpuJhHo5212nOSxje1xV4ZExCSw7nE/ROc6Rns46+sb48MPubAtXybN56tejrLp/kN11aGj8L9EE/W9AL4l82Y6Jl6ejDke9xHe7snj8F8sc6ldWnOTJcR1YNK0/V8yz7IA0sUcYBkmkvt7+7vqmT3by+W29Gd0xEJ1kFsi6RhNHcyvpFuHFsA5B+Lmm2owv39o/EkVV2XrcevgnraiGN1al8siYBNJeHI2KOR9faLbHVVTzbtlayuLZeDgbMCkqkz/cxu4zFW3GVj8wiMcv6cDq44UUVlmus6WRtL2dsygKGCSRZy5L4tnfjhHo7kigh7mg6JoeoUiCwIebbDs6ApTWNjYbk9k3JNPQ+F+hCfrfxEE7TR8Avry9V3NY5rTV8U+2ZDAo3pc+0T5c0SWI9SeLiWuuFI0PcOOKriGoqHYLiwAGJPgjCHDJ3M0W1aD7nxqMq5Mzr1zdmdu+2G1xrZuDjkm9wpFEgZu/OWBzjo82Z/DQqHh0ut+rMHPKazldWkuUryuhXk4MivViU5p1fxs/Vweu7h7K1rQSCzEHuOXzXax/cCjPX57MVCse7zf2jTivKk+dJDKuczDjzuotqqhq85mA2m5G0K39o7RqUo1/NJqg/w0YZYU3r+nKtR/tsHkIlxTkwe7TZRzPtx6WUVV44IeDrLp/EK9f07VVSNRm+1qdKCKrKgcfH0CXl6ynNjrpJW7oHU6jSbZa2t/txY2kzx7DsER/rusZxve7s/FxMRDp60KUrwtD4v1w1Ek0NNhvEffsuEQEUeCddaf4atuZNrv9+ABXls0YyBe39bHZ9/PmfpEIAjy50Hq1Z255A19vP83tA6NZ88AgfFwMuDrokCQRmt8C/mzyiSgIiJKASVZ45rIk7vjKelMQVwcdt/eP+tPzaGj8f6BtN/4G9JJISoQXD4yMtzr+xNhE9DqRz7faruIEKKtrotGkIAkCiqJgNBrJysoi/qkVDHx1PY0mBRdXN5vXX5USgouDjjnLrKcDgrlfp6wovHBlMkefG83eWSP5+e5+vD6xC6M6BqKqKgdy7VsG39AvigajzIcbMyxCN6mFNcxdewoEgR2PD7O41tkgcXO/CI7nV5FbYfvB8cLS48iyQqy/G14uDqgI5JbXszOzjMKqxnbtddtDJ4mMTApkaIK/9e/YJ1zreqTxj0fbof9NiILAtKGx7MwoZWdmGXEBriQFeZAU7M4NvcOpqjey6qjtjkQAIzr4E+jhiNFoJG5W2xZtuRX1PP7zId65PoWMOZa9RUUBbh8YhVFW+Xanfc9zQRCQUHHSi8iyjKIoLNiVybPL0lk6YwA9oryJ8HKwWs05IsEXWTHPUdNovQrz/Q3pjOscRIyfK1d1CkRy0BPanMXSIcgdFwcdzy62Xzk7fWgMCALvrU/jky2ZlJ1lM9Al1IOF0/rbvf58kBWFF6/syLD/lJgfpKKAr6uBQHdHpg6KQdNyjX86Wk/RvxGTrLQeCkrNXeqNsmruqSkKzPhuv9Wc5xa+v7MP3cO9iHvKds/O/1zThSu6BiMbjXyw+Qwxfq4kBLoR4eOCQSdyMLucK+Zts3l9UqAbi6YP4NudWTxrxZ62Y7A7i+8dAKpKjJVq0rTZYxEEgUGvrie3wvYBbb8YH+bf0Qcwh42aTAoNRhk3Rx2iKPLUwsN8Y+fBk/HSJTQaFXrPWWO1fP/5KzoyuXfEf134oygq+ZX1OBt0eDjrEZtVXFZUrahI4y9F6yn6L+PcrAtBEDDoWgRC4eWrOnEgu4KsMsuCmYQAN/pE+6DYc/ACnlt8lMu7BOPg4MA9Q2MBsyiV1TaiqpAY5E6QuyP5VdbDGT/f0w+9JPKFjfDP0bwq3ll3ihnD49j/1GBcDAYkyRx6aAk/7M8qtyvmAH2ifTApCj/tzuKFpSfaNKvImDOWJ8Z1YM3xIgqsrHNogi+KovLNzjM2vVheX3mScZ2C8HQ2/FfCK4oCIVZSJDUx1/g3oMXQ/0dIooheEpl3fTf00u9ioRMF4vxdmTE8zny4usR+K7qeUd7oJRGTyUTck8uJe3I5CbNW0OeldVz9wXZkReW7O/vYvF4niaw7XsjpUttVmO+uSyO9uAZXJ2cMzYIuq5BVVkdxdSPJIZ54OultXu+kl7ilXyQi8NjCoxadh37Zk41eEnnhymSr1390U08EAT6zUfQDZi+Wl1ec0IRX46JG26H/D9FLIh2DPXj3+hRqG010DPYg2s+lNaNFURTe32E/zn5b/6hmt0PLJhS5FfU89esR3rimK0+OS2T2UvPhqE4UCPN25vs7eqOXRD6xI5RgPg/wcXFAEmDSRzs4U1pLQVUDimp+k1g6YwBLZwyg/yvWUyiv6m5uSL0r03q7vId+OcL47qGMTAog9fmRFm8AiqpiNCnkV9rPtkkIcMMkK1olp8ZFiybo/2MEAYYl+qOq5obIqqoiyzKqqiJKEvePjOe1ldarLGP9Xekf62s3LPPLvlxGdgjgln5RJAS4EenjQrCXE7qzfL8LbYRjWrisSxDeLgZWHSlge0ZbUT5ZWM3b605x34h47hkSzXsb2hYQiQJMHRSNrKhc+5F1cy0wZ9tkzBmLwWAAzCJeUtNEbnkdfm6O+Ls70CHQleMF1u0DPJz0TG6nuOjvQFYUZMX8PbUHicb/mj8k6O+//z7vv/8+p0+fBqBjx448/fTTjB07FoCCggIefvhhVq9eTXV1NQkJCTz55JNcddVVf/nCLxQUFd5bn8abayz7g2bMGcvdQ2LYcqrEQkgBbm32cjl80nZaIpibMI/tFET/GF9E8feHRlNTEzqDA29e25Xx722zmTN/x6BoTLLCnVaKesDcLPqSTkHcNyKe0UkBxAa44aQ377LNZ+4CFXVNVq9t4be7+6Co8MOuLOatT6OwqgGjbF5Px2B3frt3AEtnDLSZy35j3wgM/w+CqigqsqqSX1FPQVUjBZX1FNc00iPCm47B7pqoa/xP+UOCHhoayssvv0xcXByqqvLll19yxRVXsH//fjp27MhNN91ERUUFixcvxtfXl/nz53PNNdewZ88eunXr9nd9h389ttIK3/55OdMmjGXupK5cMnczHk56Yv3diAtwJd7flTHJQUgCTPjKfsjkhj4RNj3P988aQacQD+4aHNPGwKuFvtE+JAa6k1tuO8ZuUlQ+Xp/GyxO70iXcGzBnhRRWNpBVXkfPSG88nW3H2AE6hnmhAm+vPWURWjmaV8WnWzO5rX8Ui6b1s8jacdCJ3D7g/Ip+WqpCWzKP/iiCAC/8dszCeC3Gz1XzedH4n/Nfpy16e3vz2muvcfvtt+Pq6sr777/PjTfe2Dru4+PDK6+8wpQpU87rfhdS2mJ7GGWFlUcLuHe+7YPP488MQ29waLPzM8kKKuZYeHl5LX3f2EyjyXrYJdbflTUPDEZRFJu724w5Y1FUuPzdrRzLr8LfzYFIXxcifJyZ3DuCjsHuVh8GZ5M+ZyySKDL1670czaskv7Khdcf/3OUduaFPBFV1TXR70bLz0a09AnlifDd+O5jHAz8etHp/Z4PE+oeG4ONiYFNqIT0jfVoLfVpi7edT9KOoKmuOFbLrdBlFVY0UVDVQUNnAq1d3pkeEl90dtqqqlNcZ6fvSWqu/72cuS+KmvpHawazGefGPSluUZZkFCxZQW1tL3759AejXrx8//PAD48aNw9PTkx9//JGGhgaGDBnylyz2QuN8TLwySupIDHFEURRUVaWhoYGOL2wA4NQLo/DwdOHRMYk8b6OlXUtY5pSdsMx1H27h2zsH8OPUvugkAUe92XyqJW9eVVUcdKLNhwaYQ0cbTxSx8miBxdirK04wJjmwuf2eJbMmdEMURT620TQbzM02XlhyjHevT2FYh6DWnzeZFKoamvB2MdCejJqNycxNO87NtHl60RGWz7S/w1ZV+HBjus3fw9y1p7i6eyiuDjqtolTjf8IfFvTDhw/Tt29fGhoacHV1ZeHChSQlJQHw448/cu211+Lj44NOp8PZ2ZmFCxcSGxtr836NjY00ntX1oKqq6k98jX8fqqpSVN3I7tPWData6BDihaKq9HlpnUVZfdysVWTMGcttA6JYf7KIzadK2oz7uBi4uofZ8/wSO2GZXWeqUUwyLg46TIpKaU0j+7MqeGPVSRZN64sk6Zg5PI5XbRzOHnl2FHrJtiDXNsk8+vMhvri1FxlzxiLLMqIotu6ujbLKrvQSm742LUT5uiArKj/tzeKr7VnkVzZQVtuEQRJZ/cAgQjyd7O6wFRU+25ppIeZgtij4avtpmztsVVWpbTLxzQ7rHvdg9rn/aFOGTcsHDY2/mz8s6AkJCRw4cIDKykp++uknbr75ZjZu3EhSUhKzZs2ioqKCNWvW4Ovry6+//so111zD5s2b6dSpk9X7vfTSSzz33HP/9Rf5tyEIAgHujkzsEcqCPdY9yXuHgqzC0kP5Nu1tZ76wnDefGstb13blrTWniPZzIdbPlbgANwI9zI0pjEb7B5IjOvjj4KC3Wrna8tC4a3AMK48WcDCn0uJ6R73E8fwqtqdbT0sE2HCyGEVREAQBvd4cT280yuRX1hPi6USYt5Pdt4CWOLmAyqM/t/Vdb5IVnlh4mG+n2M63BzApis0GFwBvrkllfLcQ3B31iKLQmsEiCObw1pnSOqsPg7PpF2O2QtBJ2g5d4/+f/zqGPmLECGJiYnjkkUeIjY3lyJEjdOzYsc14bGwsH3zwgdXrre3Qw8LCLooYuqKoNMkK497eTHqxpQFW+uwxSJLE+Hlb2Z9dYfM+LXF2UTS7BupEEUFoDpkYjYg6Pb/+spyHrSepsPr+QXg5G+j78trWzJKzuW+wK9NGDSSrtI4Dx/dyaZ8+6HS61h22IAjs3HuAaxdYNmhuIcwJ1j01lq1pJbyxOpWc8vpWP5bU50ei0+l5d30ab6xOtXr9Db3DeeHKZJYfzuOe+Qesfubd67sxumOgVYtbk6zw9Y4zPPebfc+Yz27uwYA4X47nV5NXWU9RVSOFVQ0MjPOlR6Q3g19dT56NfPiUcC9+uaef3ftraLTwd8TQ/+scK0VRaGxspK7OnAUhim1vKUmS3TxpBwcH3N3d2/x3sSA2Z1rMm5yCg+7335ufqwMDYn1RETicU2lXzAFkQYcKrNu3j/inVhD9xDKiHl9G9BPLueHzvUiiwFVXjbV6bZSPM9F+rny2NdOqmAO8tbEGFJkwb2fGDxqEg4MDkiQBQnOBkUrPbp3trnHDU2PQSyJz15ziUE5lG3Ot+KdXIwhwz5AYYv1dLX9PAkwdHIOsqDbFHOCFJcdQFZUmk2yRgqmTRI7l2Q/nxfi5MCTRnyWH8rli3lbu/mYfzyw+ynsb0nnk50MA/DDV9lvAzOGxmGT7Vg0aGn8nfyjk8vjjjzN27FjCw8Oprq5m/vz5bNiwgZUrV5KYmEhsbCxTp07l9ddfx8fHh19//ZXVq1ezZMmSv2v9/3r0kki8vxtf3tYLQYAOge64N5fRN5mUVlMoWzniHs56HPQSiw7k8tACywPJ3afL+WhjBncOiubUC6NaXRsddCLh3s68clVnsz3ALvuOjGDud/rBhnS2ppdwprSOvIp6TIrKY2MTuWNgNKnPjyT+6dVWr1UQOHim3ObD6aedmVzZM5JXrurEPd/so1OoBx0C3YnycyE+wI0wb2dSC+wLskuzR/r6k0VsTSuhoNKcwVJQ1cCv0/rz8OgElhzKp95oPWxy1+AYTLLKrF8tTcqyy+r5ZLO5Td7wRD/WnihuM54c4s5gG9a71lDV35tqtKRQagZgGv8tf0jQi4qKuOmmm8jPz8fDw4POnTuzcuVKRo4cCcCyZct47LHHuOyyy6ipqSE2NpYvv/ySSy655G9Z/IWCKAqkhHu1ujC2YNCJdAnz4J4hMbyzzjJHHOCXu/qazbXsxIbfWJ3K8A7+RPq68M3tvYj1d8Pf3QGxuU1cYVUDde3EhkVJIr+yntdWnbR4uLy5OpVLOgUR5OHICCdYc45PV9qLo9FJot0Wbw//epwJPSPoHOrJzidHtP5cUVSqGoyA7QbOLbw0oRNGWeGhBQepqDO2GZv+3T6+u6Mv04bG8voqy8PdYA9HJqSEsO5EEbVN1g3A5q1P59qe4cyb1I0GWcHFQY8k/J4ueb62A4qqsv5kESXVTZTUNFJa04i/uyN3DY5p91oNDXv8IUH/9NNP7Y7HxcXx888//1cLulgx6GwLwX0j4tlyqsTq7jbcx4W9Z8o5kmt799okKyw7UsC9Q2PpF+PbGl83yTKZJTVE+3vw4KgE5iw7bvX6Y08PRUDg0y2ZVt8UGk1mEf1xal8+mjWW+vp6HBwcWsNvgiBgMplYfcy+L01WWT1Rfq489vMh0opqyKuop7C6EVVVWTJ9IE9f1pGFB/JosnJw6utqoHu4F19tP2Mh5gC7MsvZc6aMqYOjWbA3mzPnmJHdOTgGRcVqf9cWahpNOOtFHPQSjs0i3mRSKK1tQC+JeNgxKGvBJCssP1LA9O/a1h6IAgxP9Cfaz1XbpWv8aTQvl384giCgKgrvXN8ND52Mk5NTa8qfrKioQMcAJ7v30EsCk3uHI6BaLS769OYeTBkYxaqjBew5Y5lG6eTkRINR4Ydd2Tbn2JVZhslkAlHExcWl9ec1DSaaZAU3Rx3/uTqZ+xccsXq9Tgeh3s6sPlbI97st53nsl0P8Oq0/b1/Xlbu+2WcxPvvKZARB4BM7uexTv97DzidG8P7kFDJKagn2dCLI3REfVwcMOpFD2RWU1NjPCJIkkQPZFTz440GKqxupbm7qkRDgxvKZA+1eC+ZY/jvrLG0eFBVmLzvOF7f2avceGhq20Iwn/gXoJJEAd0fc3NyaGzELZJfVse5EERV1RnR6A7fa0fSxyUH4ujogy9bDKlO/3kNNg4k3r+2KU3NRUXyAK9f3DmffI31RVJUFe7JbxcsmgkhOWT1Tv97DJXM30/nZlSQ/u5Jxb2/GJKtc3jXM5qVf32p2fvzIRljmUE4l3+7IYkSHAJKCzG333B11xAe4MjzBnyGJ/iw6kGszAwWgos7EwewKYv3d6Bfjg4+LgfyqBtYcL6S+yUSErwvuTrb3OIeb8+3fWnOKjJLaNr+Pk4XV/Lg32+6hqElWWHEkn9RC6wZjG04Ws/t0mXawqvGn0Xbo/xL0ksjba0+x9FA+mSW1NDX/n75vtA/f3dmHWbPG8rmN0v7bB0RhkhWLNnYtmBSYNn8fX97ai32zRmLQCUhnZSspqkpyiIfd9Z18bgSSKPDehnRWntNaL7+ygVdWnOCZy5JIe3E0sVasfrtHeHMwu8JuodVrq05wWZcgfrmnH6oq4GSQ2oy3V5gU5u1Ejwhvlh3Jt7Bb6Bfjw9e39+K+4fE2q24d9RLH8irZmFpsdfyNValc2TUESVStVorqJJG311o/C2nhw43pfHJzT7uf0dCwhSbo/wJUVaWizsi769JahbyF7RmlfLw5g9v7R7XJYmnh0BMDcXd3t7k7b+FwbgWKqnIwp4K1x4s4U1rLmdI6ssrquG1AFA+OiueKrsEsOmC9ZZ5er6ey3siiA9Zz0b/afpqrUkJIDHLn1gQfHr62MwaDoTXOLooiH2y0fWgK0Gg0f3cHnYSqqiiKQpNJIaOomhAfF2YMj+WnvdmUW4mhA9wxMBpZVXnqV8s4+bb0Us6U1nFzv0i+3XnGoi5gz5MjzA9VG4fTAEXVjXywMZ0Zw+LMu2zBnMHS0sauqt7IsXz7mTqjOwZqnu4afxpN0P8FKCp8veOMhZi38PrKkwyJ9yPK14WMOeYenyZZBcG8szfKCmUlJVavbeHpSzsiCgIPLThITnnbNJUPN6ZzWecg5ozvxOpjBdQ1tV3HwccHoCLwxbbTNis9FRUe+fkQi6b1Z9bNvdtk8zTJMgbMZmX2mNg9FA8nPXPXnOSttW3Fv1u4Jwum9uXh0Qk8sdAyTu/rauC6nuHsyCilos566Gjih9vZ8fhwnr8imc+3ZuLf7MPu7+aAp7OejOIaq141Z9NyYJtaWMnq48WUVDdSXNNEmLcTT41L4tb+kXy+9bTVa8O9nZmQEqodimr8aTRB/5fw7U7bHiKNJoVIb0d0kkh9k0xGSTWnCmvIKKkhv7KBF65IxtfXz+79xyQHsuZ4oYWYg9ke94EfD/Lb9AF8fFNPJn+ykzlXdGB0pxA8nfUImO1y7fmcAPw2rR86ncT7G9LYl1VBbnk9ORV1VP0fe2cZHsXZtuFzZlbi7krcIAR310BpaSkV6kpbqFBHWkoL1F1o+9bdqVHc3YNbEpwQd9vdmfl+bBJYdnahtFS+7nkcPd63O3k2s0u553luua56C3ufGspTl7RmVe4yGsz2gf304aIzgznA1iMV7D1ZxVWdY/hyw1F2HK+0WXtrr3hE0VpcdURpjYkNB8vokRhEj8Sgpk4ga+FZEMDLTYdRJ2reH1it9m7vHQ+oDH/d3pj7kqxI7h+U7DCgj++f2KIf78LF+eAK6P9wzLLCgl0nKazS1nJpRpQkTlY20OPZJXathW46iadGtiZvxlASJs+zW3tHn3g8DDqnfd67C6pYl1dEp7hgcmdm2zgeyYqKWZFbUgsOEUQOldTy3Px9nCk4MfGH7bwwOot7+muLgA3JCCM6wIO5O7RTPgCj31nHtscH8drV7dh7sopIP3fCfd0J8LQaRx8orOZ4uXN3Jg+DhFlW0EvWTiK97tRnCvI0cmuveN5wkHYZ0yUGH3c9qw5o59hn/raHL2/ryqPZqTwz11b9MibAg1Gu3bmLP4groP8L8HXXN/WOa1/f9VhfBAQ+XK3dJ/7Z+sMMaxNGx1YBbH2kO+2ete4el9/ZmoiICERR5NjJKtYfLHN6H90SgrEo8Ny8fRwpq+No0z++7nqWPNCXJy9pzR0OXI2ai6bvrsjX/Byzt55gwqBkxvaJZ/bW4xwoqsEgiYT5uhHh58bd/a2m2Xd+7lg7vt4koxMFIv3c8XHTUdVg4VBpLWvzSuibHEJMoAfhvm4OvUm7xAXQLsbf4fsLAozrl8jXG47aiaUZdSJ39U0AVeX6DzZqrl+bV8rK/cXc0L0V249VEOBhINDLSICngQ6x/q7duYs/jCug/8PRSyI9k4K5oVsrh9Og7u7umBVFs38brA+CB7/dzqL7e+Pn50fuDKuhhV46ZQ4RHmyvoXI6ySGeyCr8sPUY766w7fWuarDw6brD3NwzjsHpoSzQGCBqLpp+v0VbWRLg4tdXs2HyQL4Z2w0E8Pc4pZ+uKCrgXEfu+q4xqAi8tewAr5xh6Rcf5MH8CX14NDuVe7/K0Vw/vn9iy+5cC0EQ0IsCEwYlM2n2DgTB+rAN9jIyom0EAZ4GNh92/lD8YsMReiUH89Y1Hazm17JirXfgCuUu/jiugP4vQFVVJg1LY3VuCQeKbHuY3xgdZg20W45TWa/d3QFwvKKe6gYLJllldW4Jh0pqOVhay6GSWrKi/Zk8PM1hSgZg7n29kUSRDxykZZ78dTcXZYYz49I2rM0rRa8Tua1nK3olBxMX5IGKwMdOiqYAFfVmSmoaCPd1p8EsU1TVwLHyejYdKsPdIHFNl1inejFPXNwas6Jomobkl9SRc6SCS7Ii+XjNYbYcsW2PbBPpS68k53UGsLYeXtU5mkHpofh76m1STxZZ4fK31zldf1WnaOpNMtmvLudIeT3NunURvm4sf7gfktPVLlw4xxXQ/wVYJWpV3hjTnu+3HGVgWijxwV74uukRBev04rebHE9xAnRq5U+wt5FJs3fw5RkTn5sOlzMwLYT2sf5sfKAznV7cYLdeUWFdbonDoRiA2z/dxPd3dmfzYwPRSaJdTr201vkUZveEQCL8PJBlmbTHbXvV3fQiA9NDCfYyaq7tGueHoqp8sf6Iw7bFq95by55p2Tx1SQZvLcsj1MdIiI8boT5utI/xc7o7Px1REAj2tr8PnSQyIC2ExXuKNNdlRvnSJyWEj9cc4lCpbfH5RGUDn649zPXdY20eEi5c/B5cAf1fgl4SiQvyZNIwqztUvUlmX2E1iYFGVMHAlZ1i2HKkwuH6KcPTqWm0MHurfZ+4qsKD321j4YQ+BAQEtrz+4MBEru8Rh6dBQnLiSNTMNZ2iAIHl+4tZtq+IY+X1HCuv43hFPbumDeHhoan8tqPA4Xj92D7xmC0KSVPsTwkNZoUnft7FO9d1tDtJSBJ8eks3BEFwWtiVZfh523FGtY/izWvaIysqFkVBVa2dMH/UNU5WFCYNS2Pp3iK0xDHvHZBEvUnmqV/t1RwB3lqWy5guMUiC9mCSCxdnwxXQ/0UYdCIPfruNVQdKOFl1qrCXPzObKztFs3D3SRZp7A6DvAxkRPjw3sqDDlvujpbV8/TcvUy9KI3907MRmnrYT+dEhX1L4+mM6hiDRVGZ+MN2u6B9sKiKVsE+TLkonfs0ctgpod70SQ5xqp0/f1chK/YX0z0hkP1PDkERrEM7Osn6v7WNZs22y9MJ9jZikVWGvbacA0WnhocCPA2sfLgfkkE472AqiSIJwV6Mah/Ft5ttawUZET4MSAvl07WHcZR1Kqkx8d7Kg9zZN6HlexAFoaXzRVVdgd6Fc1wB/V+CRVbYX1jNd5vti4rxk+aSOyOb5y9vy4CXltuYRwAsvqcrgiDwydpDTn/H9V1jEUWRxbsL2H2iiiNldRwprSPcR8erYzrx3OVtueyt1Zq7z/Yxvi1FU60d+MBXVpM/M5uRWZF8u+koq3OtdnW+7noi/dy5Z4C1i+WzZY67WADW5JXQMymILUcqOVpez8nKBgoqG2gV6MEtPeO4o3c8b6/QPkmkh/vQJzkEk0W2CeYAZbUmXl9ygIeHpv6h4qSiqDw0JAUPo44gLwNBXkaCvAy0jvClwSzz1BznjknNrM8vZtuxaspqTZTWmGgf68e1XWL/8CnCxf9vXAH9X4JOEvnAwUAKQGNDPd5u7myc1P+UPrdiTSXoJBGLrDgVrgJoFejB8fJ6xn2+xSZobwWeMVnIivbjum6tNIuO393RHdFJ0RSsD54DM7J5Y0x7KuvMhPm64aY/VQZUFIVpCx1PYupEgZt7xHG4tJYr3llnd61fSggTBiU7DOh39k3ALCv0e2655vUPVx/ixu6tCPI2nnceWxQFgryMTL0oHZOsYJYVGswyQV5G6s0ybnpRU/4XwN9D3+Kbeu37m2yuLdpTyMisSLzddK5duguHuKov/wJUVaWy3swv2xwP1WQ8taypQCpR0yiz/VglP287zksL9/PSwn3oJJH8mdo2dABTR6QiiALvr8rX3IFnTluILCs8mp1KpJ9V2lEvWY05bureClmFlQeKnRZNARSLGT93PbGBHhgkAVmWsVgs1NbWIooiN3SPdbh2RNsIQnzceFpDt92iqEz9eRdGvcR7N3Swux4b6MHwNuGIAhyv0k7LNFoUnpm7D50oYtFI/ZxNmgCsQ1Z7T1YTP+k3Uh+bR5snFtBpxmKem78Xo05ibG/HJha39orHoBN5eaH9YFVNo4W3l+c5nEVw4QJcO/R/BbKi8sX6w05b/qw/B6tyi7n+A/suleRQb4ZmhPH1bZ258n/212/sHk+DWeHbTY77xJ/+bRePDstg4f29EQUBg+5UJ4uiqJpG16cT7G1E0ulRVXtddkGAH+/qwSNDUvlqw1HNzzquXwLF1Q0s2K3dRbIqt4TFewrpkxzClR0j8XY3EOrjRpiPG60jfZFVlavfsR/JP/MeFVXlaEkNryzJo7i6keLqRoK8jXx5m2M/0WYkUeDlRfZG17OW5fPQkFRu6RnHR6sP2Q0m+XvoubmHdXf++lLtE8bHaw4xtncCPu6uXboLbVw79H8DAkT5OzexyJ0+BL1O5IPV2imPx3/aRXWjhQ6tAm1efy/bi33TBiIrKl9tPOJU8/y91Vbf0eLqRj5afYjHf9zJDR9soP8LywCV67rGkhrm7XD9Dd1aIQgwd7t2p83kH3fgZpB49aosu+sD0kJIDPHmjaXOFRnfW3UQvSTy7OVZTMxO4/pusQxtHUarQA9EoLjWca++USdyR594UFX6vbSSn3JOsCavlANFNazNK2XO9hNOd+myYq1zOHJmeuibrehEgbv6WXfpkmgdeOqfGsIzozLR6wSem7dXcy1ArUnm281HNU9QLlyAa4f+r0AnioxoG8mCXYX8sr1A82cEQeRIWZ1Dre6yWhOTftjBrGs7cPDpYSiKikVV0Z/WL3591xim/eK4aDdhYBI6SWT6nD12QWv0myv56q5ePDMqk0vfWm2XGnDXS9zQPRYBGPeVtkDWzuNVfLH+CFd1iuaVK7MI8jIQ6e9BmI8b7gaJepOsmb8/nYvbRmCWFZ79dRfvrT1lfO3jpmPjlIFMzE5zKE8wukMUAZ4GjpRonzSen7+Poa3DHf5uSRR5eaH97ryZ77cW8NzlWVzTJZZrusTaTOqCtYbw9grHNQiDJHJRZoRrotSFQ1w79H8JsqLw9GVtCPWxH2jZM7U/gijw0eqDTnOsiT7WPHBxdSNL9hXxydrDPP7jTq57fz3r80tREPj1zo4O19/SK45j5XUs3mO/A918vAazRSYr2o8xnWNaXhcECPE2clvvODyNOk5WOm8rXLqvCJ0kMrxNGN0TgmgV6IFRJ6AoCu4GiUHpoQ7XhngbubxDFJX1ZptgDlZ5gm82HmNo6zA6tbLXa7HunBNRFJU+L2oXTQ+V1vHF+iM2jkJWRUYFi6xwpKyOeWeR161pMFNvlnltyQEmzd7B2E83cfmsNVZbOkEgu3WYw7VXdIwi1MdoIz3swsXpuHbo/xIkUcSoh1euzOLTdYfpGBtAWrg30QEeGI1GUOE7JzopAPcNz0KSRG74cIOdu8+RsjoWTOhNerT2+Hvf5GA8DDpemL/f4ZE/feoC8mZmM3l4GhdlRhAT6EGot7HFrMEiK/R4bpnTe7y5Rxw1jRZaT7V3Ndr71FCmjkhnxf5izRz7zT3jEAS4+UP7GgHA1F92cmm7CB4fkcHFb6zCx01PiLeREB8jPRKCiPBzp7TaeSfQsv1FXNctlrpGC0fL6zhZ2UBxTSMdYwOI8HMnxNvoUBlzUFoI3u4Gnp23l3fO6MTZdaKKa7vE8sxlbZi70/6hYNSJ3DswGVX94wNQLv7/4tqh/4vQSyKdWgXw1jUduLlnHKnhPhRUNqAoCqIocHn7KKfrFQQ2HCzVtGo7XFrH8/P3IQgCudOH2FzrnhDIa1e3o94kn1ViYPm+Qow6iS5x/kT4uiEKIMsyjWYzOklkdAfHvqLp4T70SAxy+Due/GU3EX7u3Nwjzu6aj7uOG7q1osEks/24tiuQosCLC/bTJtKXA9Oz2TZ1MAvv78Pnt3blrn6JmC0KA17W3p03c1uveMyyQvrU+Qx5ZSU3fLiRB7/dzlXvrkMQYHy/JIdrn7s8k6oGM59q6MbXm2XeXJaLt7ue4W3sd+ljusQQ6GVw7c5dOMW1Q/+XIQgCV/9vHbtPVNmIceXPzObR7DSW7SsmXyMHfOApq8Hx+6sOOXzvD1cfYlS7CFLCfdn71FAEwZq/l0QBi6yQc7SCWpNzK7uYQG9MFnstFoDlD/Vl8vA05u86qSkkdnvveBotMk/P1S4MfrHhCPcPSuKegUkcr6jH39NAmI+RMF93UkK9MehExn3mfDCpqsH6ewUBGswWKuvM7C6o5Metx3nxina8emU7bvhQW/62Q6w/XeMD2aKhqHiyqoFVB0oY0yWad1bk2U2sDkoLwdfdwHPz91Ln4Dv8bN1hxvVN5JlRmUiiSICnAX9PA4GeBka0jXD6uVy4AFdA/1dhlhXm7TzJ2rxSu2uFhYUEhYTy0pVZmtOczQYYizTy383Iioq7QY+sWBUZj5TVtfwzIC2UMZ1jGJIRamcC3UyvpCASQ7z4eI12YW/sJ5v59Z6ePDQkhSk/2trERfi6MaJtBAt3n3Q4eANw2yeb+PaO7rx2dTtrYVdREBAQmvw737ymnUPFSEGwSuRaZIXEyfaG2lkxh7muayyxgR4cLq2zu37PAKu87hX/W6v5/g98s431kwZw38AkHv5uO/4e1knRQC8DL17RlupGC5+sdezq1GBWmLvzJFd0jOK1q9shKyqyoiIIVgmAsxqIuPjP4wro/yL0kuiwy6Pbq1vInT6EzChfDkwf2qTQeMpbFATm7izQNMBoxssgEenvzvdbjvHo97ZGyov3FDEwNYTpI1uzOreUGo32xlt7xWGyKEz9WbtTZm9TS9+YLjGYZYVATwPRAR5E+rkT6GVEVVW+WO9cAKxjq0BEQWDi99v58gz995/G9SA9woc0d9ijUXsdnB5GXJAXSxw81N5YkstVnWJ47ap2XPLmaptrmVG+9EkOYfeJSiwOOjvL6kws3lvI5R2iuaxdlK1vqkVhxf5ih7tzsMogXJIV0aLdIomCy8HIxe/ClUP/lyArKvtOVrPpcLnDn0mcMh9UFUmSqDXJ7Dheya87Cpos01Su7BRNuK+bw/VvXNMevSTyoYO0zNhPNxHgaeCBwck2r4sCtI/xo09yCBvO4np0sLQaWVG5unMMvZODCfA0cLisjnk7CxAEgY9u6uZwrV4SuL13PIdKa+2COVg12fWSyJzHtCdi724ysLj5402a10trTcxankubSF9+u6cnyx/qy5YpA9k1bQjf39kdi6xw2VurnH6+WpMFuammcToGnUj/1BASgj0drr21Vxxuesk1NOTivHHt0P8liAJ86GBoqJmND3RGUeHd5Xl2npWZEZ70Tg1n5mVtuMlBjrhbQiBr80rYV2hfNAXYerSSxXuKuKF7K3zc9YT5uBEbaO0T10kiZlmhvtF5W+KdfZJotCh0nrmIqnrbre7jFzVyQ/dYpo9MZ8qP9rv8kVmRBHsbeeR77T72zYfLmbujgIHpoXx7U3u+yilgRFYkSSHeBHgacDfoyDni+IEIsC6/DHGQQKiPG4dK69h5vIrimkb8PfRc3DaCbgkhLN2nPakaE+DByCzHvqCyqnJ3/yTu+zrH7pq/h55be8bj2pC7+CO4duj/ElTVqkfijMBAazriU4087S2f5iCi0i8lhEvbRdpdf/ayNhh1klM9cYAZc/agKCoXZ0bQLsYPgySyp6CKOdtPICsqA9Lt37uZ7vF+yIrKlxuO2AVzgFcW76emUebqzvZ6LoJgFdcqrGpgyV7tgArw9Ny9SKJAh6QwXryyPX1TQon098DdoENWVJbvd7wW4PZe8dSbZLrMXMSoWWsY98UWnvh5Fw99u53Cqkamj8xwuHZ8/8QmX1Bt9JLIxW0jNHfpY3snYNCdm3SvqqrIioLJYhX/aq4luHDh2qH/SxBFgbG9E1i0p4jNDtIusgJL9hVy3IFuecLkeeTOyOa5y9vwzGVt0EkCskKL9rnJorDyQInT+7i6i3VoaFN+EVd/YDtxeUefeB4emsq+pwaT8tgCu7Uf39IN0YkJRVW9hWfn7mXmZW3YMGkAz8/fR6ivG+E+bsQFeRIf7MWUH3dorm0m3NcNURD4bUcBv+44QWFVI4VVDTSaFZY82Ifx/ZJ4eVGu5trUMG8GpofyxXp7zXKTrPDSwv08d3kmF7UJ59cdthO70QHujGrveHfejKyqvHlNe46V1xPoacDPw4CXUcLfw4B0DgqPFkUhr6iWfSerKKszU1Fnot4k80h26lnXuvj/jyug/4tQUHn1qiwGv7zCrriWN2MokiQ6NJJuxiJbcDMYKG1oJL+olkOltRwuq8MoCYzrn8TYPvG8tlg74HkYJK7tGoskCnbBHOD9VQe5omM00QEeBLlDyWnPlebU/bxdJ52aUHy18QiPZqcS4uPG86PbYrIoNFpkPPTWYOesqAswrl8itY0W7vpii9211xbnMnFYKq9flcXdGiYb4/sl0miWedKB/MEPW45xd/9EHh+Rzr7CKtpF+5MS5k1skAetI3ybdufOA7pOFEgN8yHG34PyOjMlNY3kFlXTNT4QL/HsO3RZUbn2vfV24l5to/0YlB56ThZ6Lv7/4gro/yJ0oki4rztThqfz5YYjxAV5khDsSVyQJwgCR8vqNFsaT8eg01FRZ6L700vspi27JQRxd/8kft1WoNnLfnmHKDwMEo2N2pOQZlll8uydfHl7VzY8ls2uE1UEeRnxctPhppcQBYEFZxmN7xIXiI+7ntoGM51nLqHWdCo1kzcjm4eGpPJzzgnNfviMCB96Jwc7fKh9svYQt/aKI7tNOJwR0OODPBmWGc7POSdocNA2aVFUPlt3mIeGpLDw/r72189BXldR4eWF+5oK1ae4q28CDwxOQXISz2VF5YNVB+2COcCsZXkMa+NYZ8bFfwNXQP+XIYkCY7rEMKYp9WGWlaYebJFIP3faRfux9WiF5tonLkpFAT5dpy3Fe/NHG9kweSDPjMrkindse61FwarXrSgqqU8sdnh/a/NLqTNZ0IkiPu568kpqOVZex4mKem7qHsf9g5L5McexrvvYPtZJzIwn7FM2ZrMJX3cjY/sk8JKGCNZdfRNoMMvM1NBLB6ve+QsL9vH85W1Z82h/Nh4qI8zXKq8b6uOGrKh2/fFnMrpjFFUNFh77cSclNY2U1DRSXNPIwLRQXroiy+laVVWpbbTwoUbK6bN1hxnXLxEPg3aXi6qqNJhlO8mAZnYcr2RtXimdWvm3SC24+O/hCuj/ck4/YsuqyktXtmXoKys1A/b13eNQEfhMY/QcrAJWLy7Yx+Th6cy8tA0WRSEmwIPYQE8i/Nww6iQsjpqwm7i2SwweBh03frCBZWcoP56sbOS5yzO5unMMX244Yrc2JdSbvikhDgeLUp9YTP7MbMb2ieeL9UeoqDe16J3HBHqQ3TqcX7adcDqYtLGprTLMx0jv5GBqGy2U15ooqWmkQ2wAOY8NsLZ/atAx1p/4YC9m/raHOWfk0H/KOcF9A5OJ8HNz6HakqtadtNbpoqrBwoerD3Fn3wTNXbqiwrsr8qmocyz/+8Hqg3RLCHR43cX/f1wB/f8RekkkNsCTewck8dx8W9cbP3eQVZi3s8CheBTA/1YeZHz/RK7oFIWsqOhE64Ris6rglqPaOinNjOufSH5xDcsP2Mv4frv5KDd0j2XysFS+3nSEMxszbu9t3Z0PfmmZw/c/XFRBVLAfKx7uh0FnGzjNssLn6x1PYjb/DouscNU7q9l05NRnEQT47Z5eJIZ4OVw789I2VNWb+Xyd/cNIVlReWbTf4S5dVVWqGyx87MTX9YPVB7mjTxwmiwCoTQbYYsv6bzba/97T6ZkYhEVWXDv0/zCugP7/DFEUuKNPAodK63A3SLQK9KBVoCe9EgPQSSLfn0WRsW2UL77uBmRZJmWK7Qj9j3d1p3NcAJe2i2T2VnuTiu4JgYT5uDHxhx2aMr6qajXa+P7O7rx5dXu+23KMcB83wv3cCfN1Y2RWJAIqh8ocF02v+mALqx/pjyRa9cNVVUWWZY6VVhMd4s/4/kmajk0AoT5GRne0ioOdHsyb7+35+fv44MZO5M0Yaicf0C7al8QQL56dt5d6s/a05085J5jQtEtv7lhRVRVLUyH3yw1HnE6Kdk8IQBRFVu8vZndBFWW1ZsrrTKiqyotXZPHKVe248t11mmujA9y5tmvMOXXKuPj/iyug/z9EVlWeuzyzqT+5aZfdJLA1pnMMy/Zpm2AA3NQzDrOscNfn9nooI99aQ+6MbB6/KJ3FewqparBNv0wZnkZlvVkz2Dez+XA5qw4UMyg9lOw24SiqikVWEQAB1aHbTzPNSosvzN/DW8sP2VzLeWwgvZOD6RYfyNp8++Lw7b3jEYC7Ptc2uFiyt4htRytIj/Bh3cN9CPQ2IoriKdNti0VTKbEZWVGbHI0ETlbWU1JjorCqgZIaE0MyQhmQFsIzThyJnr40k/JaE2M/20yD2fb4MqxNOL2SgpEkkDWeCQ8MSnH5jbpwBfT/jzTn1UVRwHBaX7ROEhmcEcaQjDDma3SbhHgbuSgzHBFY6MC46KlfdvH4xRnMuLQNmw6XE+nnTqSfO7GBHqSE+fC/lflOvU993HR0iA1AUVXm7TjO4z/mUNTUUJM/M5uB6aHEBXlyUKPLxsddx/XdWiGJgl0wB8h6ahEHZmQzcVgqF79hq8US4Gng2q6x1k4bB56kAOHeBgQgLMA29aIoKoIkOd1hd2rlT6sgT57+bS//W2lbvDxYEs/DQ1JJD/dmt4Z88ZjOMXi56Zj68y67YA7w9vI8BqSF8uLlWXaTpqlh3lycFeES73LhCuj/NSyKwoxLW7M2r8Ruh31tV6tFXEFFpcP1H687wiPZaYxoG8HwNuGYFQVJsIpIyYrKwLRQnp+/z2G/+NWdYzDqRIa9vpK9ZwS22z/exKzrO/Lo0FTGatjEXdslFoNOZI6GJ2kzBRX1ZEb58eLotiBAmI8b4b7WLhadKPLmIueDSUE+btSZFR74YgtFVdYOluLqRnomBfH+DZ3InT7EYdH0mVGZVNaZNYvOn607wvj+STx9Waad8BfA5OGpFFY18tUGbS34jYfKyTlaQXbrMF5b7Imfh4EATz3+ngau6hiNoqiIznoeXfwncAX0/xg6UcTfQ8/0ka1Zm19KtL8HMQEetAryJCXMGwHo8dwah+v1kkCdWcaoF+ny1Fyb4aFLssJ55cp2XNMlRlMmVi8J3NYrnoOltXbBHGDRvmJEAYa0DqNzXAAbDpYR4GkgzMeNMF83busdj4DK+C+3Oby/7FdXkvP4IEa0DUdAQBKtGvKyoiKJAuMGtubFJdpBc+kDPVEReG9lvp1E8OI9RewpqHJYNO0aH0BckCcz5uzRzLHXNFr4cPVB7uqb0CLPa9RZNc9v6NYKT6Oeab/sweSkl/3rjUd4+rJMljzY1+Z1VyHURTOugP4fRBJFLs6KZESTobIgCOhEaydLZb0FHzed3e69mYsyIwjyMvJzznGbYA7wU04Bd/dP4qEhKfy87YRdi93FbSMI8jby8Hfa4loAmU/NJWdKNp/c3BlJFGzaMi2yQpWTtj2gaZJV5MlfdvHRGQ+VD2/qRM/EIDqEebH5ZI3d2thAbxosMh84EEF7ZdF+3rmuo+Yu/elL21Bea3LYEgpWA5GxvROYe28vBATcDVLLNbOs8FOO45MHwMh2kZhlxW4a1BXMXTTjCuj/QcyygsXUyAdLd/P8ilO59HF947l/cAoPDE5h6s+7NNc2t/3dozE6D3DHp5uZd19vpgxPY/n+YpJDvYkL8iTSz52UMG/KaqwG1Y5obAQUFaNORFVVzBaZqgYLWw+Xotfp6J4YhJdBokYjl23UiYztk4CiqnbBHOClBfvplxLCt/f0In6SrcHF/Hu6oyLwwapDmsJhAAt2F3KkvJooX08OPj0MsE6PKqqKJAgcLq11Wj+I8HPDoBMxaGji6SWRIRlh/LxNe+iqd1IQXeJcPeYunOMK6P9B9JLIdZ/msC7fVrv8zWX53D0gmeu6xfLt5qPsPMObs0tcAGnhPuQX2+9um8ktrmXniUouax/F5U3+oWZZobi6EZPl7KmBh4ekotdLXPLGKrYds83lp4V7M/fe3nxySxcum2WfFrqiYzT+HnpmLdPWotlxvJKFu0/SNyWEnVP6YDSe6mIRBAGLReH9VY4NNlQVIn08kVU4WlpLUXUjRU1dLJdkRdAqyLHWOcBDg1McpkcsssLYPvGaAV0QYOKwNM3d+YVCVVUU1fq/rhPAvwdXQP+PYVEU8otr7YJ5M92fWcL6SQN45rJMnpm7lyh/d6L8PYj0d6dzXABmWaH/i86NlKP83cktrOHB77ZRUNFASW0jqgp9koP5+ObOPDgkhRfOGHxq5uouMazLL7UL5gB7Cqr5Mec4w9uEE+xloLjG1HJNJwqM65eIrKg8N99eFqCZ9FA9AF5etrlwi6yAKFBtcpzSmTGyNYIo8Pzcvbx7xgj+icp6JmWn8dqVmdzztX1KqUOsP31SQhy+t04SyYjwpWt8gN2fzfA24aSF+zhc+2ehqCrHyuuprDNRVmuiot5M94RAAj2NLnPqfwmugP4fQ3IiXwtQVmtib0EVrSN9+ezWLta0R1OfuE4SUFRoE+nLjuPanTCD00MI8nJj+q972X5GUF6+v5hVuSXc0jOONxYfsBPBuqVnHN5uet5aqr3DBmvaZERmBL/e04v5u04S5uNGhJ87EX5uBHga+TnH+eBUuL8/sgp3f7GF4xX1FFVbu1jaRPry3Z3d+fq2boyape0ZenXnaCrrzJp681+uP8J9A5K4qG2kZkB/eKjj3XkzZllhfL9EVDWXAE9Di0n0mM4xyLKCdAF3yrKi8uHqg0yfY6uDc0vPOCYPT7tgv9fFn4sroP/HqDXJZy2+bThURlq4DzXVlQx5YyOFTTthb6OOFQ/3480x7en9/FLNtY9mp1Fc3cCv27VzwTPm7GbOPb14bnRb7vlyK6IAgV5Gwn3dGNcvgb0FVaxwosnebFod4+/OVZ2im/THrUNTsqKQFu7rcO3c8R1RVPh641F+2W6rxbLpcDnrD5bSPsZfc+3zo1qDIPDmslzNLpZak8wHqw8xrl8i4/vF8/byfFoFehIf7EmnVgHnlP/WSyI9k4LpmRQMWHfMsqKiqlzQYK6qKnUmC68vsX+Qfr/lGI8OTUXUuXbo/wZcAf0/hodBIi3Mx6Eio5dRx9WdY5BEgaxnbPulqxstPD13L89dnsmYzjF8cYbAVmq4N60CPXlm3t6Wcfcz2VNQzXebj3Fpu0jWTxpAoJehRcxKVlSnU6YAfZODiQvyZP7Ok3a96jMvbcMVHaOI9nfnqIbmekpEMCpWgSwtXlt8gM9v7conN3e2kw+4rEM0FQ56zJv5aM0h7uwbz70DU3hgcKqNauL55L9FQfjLestfWXSAynr7dFNFnZlfd5zgoswIl9b6vwBXQP+PISsqMy9rw0Wvr9Ic/rmiYxRueomGhgbN9c0CW5OGpeHvLnJt1ziCvI1ITeYM9WaZL9c7F5GSFWsKJ9TH1rBaFKyDR28syaXcQXvi3QOSMMuK5uDRm0tzuaJjFB/d3JkBZ+T5v7mpLbIK320+5tDRaXVuKaWlFfRMDOTg08OsOjGqdaesquClR3OKs5lL2kaglyQ+WnOIvQVVlNaaKK1pJMDTwHs3dHL6nfxdyIpKQWU9nzgRDfts3REubRf1192Ui/PGFdD/Y+glkdQwb67vFsuHqw/ZXBMFuKVnPKqikjZtieZ6VYVvNhxm8kWteSj7lL+mrFjVGE0WBcWJqEiwt5HLO0Rp5pIFQcCgE7mrXyIz5thrmneOC6BDrD/rNXRaAI5X1PPVxqNc1Smaz29oT8f4ACRJQmwWykLgLQcdMM34+/sgq3C4pJbCqoaWHPvIdhEEehqcrr1vUDK7TlTyhEbL59Yj5WRG+Z3Vou6vRhIFnpu3D7Ps+M8swtfN4TUX/yxcAf0/iKrCQ0NSWJ1bgrteIjrAgyh/dzIifIn0dz+r5vnUi1sjiiIPf7ed3KIaTlTUU1TdQJtIX364q4dDAwqAm3u0wpnkiE4UuaFbK95feZCTVbanhPH9EjHLClf9T1txEGDN4Tyu6BhNjzRb9x5FVamoNVFQoX3yANgztT8qAq8t3m+XTz5ZWc+Ui9LZ+8QATYOPu/sn4uuu554vtbt33lmRz9vXdnD4u/8uZEUlws9xwHbTi0y5KL1l0tbFPxtXQP8PIooCBklkwYQ+La9ZZOvOWlFU3lruuBcbrLrqS/YU8s0m2xH6bccqyTlSztg+8Xy+/rCd7rq3sUlc6ywiUqIAT1/Whu3HKlpMoiP83EkK9aayzuRUVfCN0X0RRZGpP+/iQGE1hVWNFFc3sPC+3oT6uXNxVgQ/bNHO0xuNRmpNFruTC8BXG49y/6BkPAzau/SxfRLYfLiM5fu1lSwX7DrJiYp6wppMrP8pCAJc0yWWtx38md/WK55gL1fb4r8FV5XjP4pOEpFlGbPZTGVlJYmT55I8ZR5r8ku5vXcCngbtZ/3+6UPRSyL/c2CFNv6LrYiCwP2DUlpeEwQI9rJax7nrtS3WTkcUBPqmBHNn30QuaxdJj8QgogM8kBUFbzfHe5D4JhOPZfuK+HjNIdbklZJXXENVg4UuzyzBIivc3T9R84Sw94kBgMCsZXnUNNqfUOpMMh+tOYwKbJvYk9cui2PP1P4ceGoweTOG4mXU8ew87d050DKk0xzMFVWlst7MwZJapymqC40oCEQHeNAt3r4LJ9THyLh+2t+Xi38mrh36fxBVVSmrNdH16cV2udMnft7F/Pt68/qYLG7+aJPdWkEQ2HW8kvUHtQeTCqoaWLi7kNEdo0gI9iTS351gL2NLzlxx0P1yJs/M3Wvnnzm+fyITBibz9jVZ3PF5jt2ahVOGIkkiry0+oPmedSYLcUFeDMkIY95OW/lgg8FAdaOFjx0YTAN8vOYQY/vE4+nlzcWd022umWWFDQ6+E4A2kT6E+rjx2brDvLxwP+V1Jpq/ineu7UD/tJC/rYvELCtc3Tm6RUPeqBPxddczeVgauqZit4t/B66A/h9EUeHjtYc0C2G5RTV8svYQ13WLJTXMm2NldfRKDqZzXABjOkWjl0SHRsXN/Lr9BNmtw4gJ8OBYRT2bDpVzuKwOb6PEDd3jnK619kTLfK7RKfPx6kPc0TuewRnhQI7NtXh3UBBYe6CELUcqNN87c9pCDszI5tUrs7CMturFgNUQRFFh9tZjmn6fzayb2A9JEnlneR4HimpaTKJjAjx465oOmk5Hzbx/YydMssJLC/dTVmuyufbx2kMMaR3m+Eu5wOglkeGZEfRIDMLbTW9n7efi34MroP8HUVSVL5y0Fr68aD9XdYrm5/E90Uu2OzRVVYn2d3f6/mN7J1BZb6bzTNvioSQK9EkJIdrfw2GBTVHh/dUHNdMe1Y0W/rfyIPcMSOLNq9uy9UgFl7SLJCbAE283HaIo8soix2P/YJUIUASBopp6CisbOFnVQHF1IxdlRtAvOYQn0Hb2aN30wNh6qIyn59q6Du08XkVuUQ2tAj001w5JDyXI08jLi+yDOcCavFIOltQQE+DxhyzkLIqColhTXJJwyqXqXLRYJFEg0Mt43r/bxT8DV0D/j2FpkmktqbEPLM14G3XodSJL9xazeE8hJyrqOV5RT2FVI7/e3ZO7ByTxpoPhnE6t/Gkb7cfLGl0usqLywvx9vDGmvcPfbZYVPnQgXwvw4eqDjO+XwNA2kQxva9sbbZEVGs2OtVi6J1idkt5bedAuKB8rr2fy8DRaR/iw84S9EfZPTemcZx1YyL2/Kp+Zl7Zh37SBpExdZHPt+dFtqag3O5Vc+GjNYaaOSHd4/WzIisrmw+XsPlFFeZ2J8lozXkYdj2Snnvd7uvj34Qro/zEEQaCm0XFaAWDaJa1RVZj0ww6Ka2w7VZ6eu4d3ruvIs6Pa8Mj39u4/d/ZNsI6RL9XOY8/ZUcA9hdUkBHva7EYVRUVWVX7bUWCno346b1/XAb1O4v1V+Ww6VE5RdSOFVQ0YdRILJ/Tm6zt6kP64tqPQu9d1xCyrmimjrzce5YHByTx5SWs7Jceb23mhILBqfxEbD5VrvvfsrceZNCwNT4OeD2/sRIiPET93PX4eejwMOqb+tMupfV1Ng/m8u18URaWq3swtH22yO9mM6RJDpL/7P6qzxsWFw5Us+48hiQLXdY116LzjphPplRTEj1uP2wVzgPm7CtlyuJxL20UhSbbXOsT60z81lB+3HkdxMFCpqrC3oApJFFGairO7T1SxaE8h5XUmumt0W5xO51YBHCypYcacPczdeZLNh8s5Vl5PXnENv+44gV6yugCdSf+UYNwNOt5fdVAz7VHTaOHz9UfIjPIlyMtAQoDAz+O6smfaYKaM7oVeEnnegUIkWCdI1+aVIivQLzWEpBBv9JLI8YoGBEHA10PvcK1RJ/Lw0FSHtn1nQxQFnp23VzNN9eWGI3+rebTFgQOTo9dd/DFcO/T/IKqqMnVEOte9v8Hu2iPZqRh1ktP0wPQ5e/jhru7kPDaYRrOCu0HCqBPRSSJmWeGZufZTns2IIgxKD2PZviJu+2STTWF2dIconh/dlsHpIZpGzp/c3AmdJPLKogNoxb53ludzcdtIFk7oTYfptmmP18e0o8Es28nens5Hqw9xY/dWrJ04wK67wywrdvrwp5MQ7MmAtFAEVFpPnW8TXOff14tru8Zqil8B3NwjjmBv43ntoi2KwsHiWruZgGa+33KMBwenaF77K9BJIjPm7OFIWS1VDRaqG8xkRfszfWTrv+2e/j/zu3bos2bNIjMzEx8fH3x8fOjWrRtz59o6v6xdu5b+/fvj6emJj48PvXv3pr5eWzvDxd+DThLplRRM/9RT+txeRh0pod6M7hDN6twS9p609/xsZn9hNQ1mGUVR2XKknG82HeW5+fuY9ssu9JLIA4Md520fHZqKu0Hi1UUH7LpsZm89zsnKBqZclKG5tntCEIdLa/n1DKXEZnadqGLlgWJ8PfRsfWwQe58aSu6MbPZPH4qb3ro71xKgambFQ33QSyIfrj7ExB92cOvHG7nkjVVMmb0DvSSyaEIvh2sfHpqKoqrM3Zxvt1P+ZO1hQryNtIm0V4IM8DQwvn8i55sQ0YkiT/yyS/MBB1BY1cimw+Xnvfv/I1hkhe+3HON/TR6ta/NK2Xm8iu83H6NBQ7HSxR/nd+3Qo6KieOaZZ0hKSkJVVT7++GMuueQStm7dSkZGBmvXrmXo0KFMnDiR119/HZ1Ox7Zt21q0NFz8c5AVhRdGt6W4upFIf3e8jNb/FFRVZU2etlZKM1d3jsEgiVw+a41dAbFXUjBXdIxmxm97MGnYsY3pEsvavFJNtUeLovLG0lyeuiSDnolBrMotISXUi06tAhjbOx6dJPLq4gNOg5OsqOhEEVEUOFpWx8nKBkqqG7goK5Jgb8ddHPH+1i6WdbklzPzN9oSxu6CKCYOSiQ/WTlO1j/FnSEYYiqIw7nv7tMyPW48zZXg6k4encdW7trIF9wxIwqgTz6vXW1FUth+vZHWu4z+vmAAP2sX89RoyqqrSaFF4+jf701q9WWbh7kKGtg5zKTj+yfyugD5ixAibf58xYwazZs1i3bp1ZGRkMGHCBO655x4effTRlp9JSfn7jnsuHCOJIv4eert8s6paTQ0+XH1Qs4inlwRu7x3PodJazW6QFxfsY849vXhiRDqTZu+0uXZ3/0S8jDpeW6JdMAX4dtNRpgxL5f0bO6ITRZtAJCsqOUe1i5IAQV4GeiQG8cX6I0yabVuw7ZMayqj2UTw7b69m0XXRQ9mIonYXi1lW+Wz9Ecb1S+C6LlF8ut7WRGPycKs93Kjpc+3WglUrffbWY1zeIZqXRrclwMtAiLeRQC8jId7G8x7cEUWBlFBv3PWSpkY7wOMj0s979/9HeXbeXofdVL9sO8GIthF/8R39/+e8c+iyLPPtt99SW1tLt27dKCoqYv369VxzzTV0796dvLw8UlNTmTFjBj179nT4Po2NjTQ2niq+VVU5zlO6+HPRCiSiKODnrufmnnG8oZHzHdm00334O3tXHrCmPRbsPsll7aOoM8kkhngR6edOgKcBPw89BwqrWevkBNA22he9TmLZviLW5JVysrKBwqoGzLLCD3d1560x7Rn66irNtS9dkQXAGxoPjAlfb+WDGztzdacYZi23bbm8OCMQWYX5OwrsXJaa+WL9Ycb3S2TaJW14cGga7noJnSgiCNbvUZZltjvJLJplFUmEYZnhqIDJLFNrkjFZFAznuUMHcDdIDM4I5acce0OR3klBDEwLPa/3/SNYZIUDRTVOteM3H3b8YHZx/vzugL5jxw66detGQ0MDXl5ezJ49m/T0dNatsx4ln3jiCV544QWysrL45JNPGDBgADt37iQpKUnz/Z5++mmmTZv2xz6Fiz8VQYC7+ibw+brDNrrkgmBtSyysamDpPvuiZTPr88oYkBrKrb3iAahttFBY1YCiqnYa6Gfyxpj2NJhl7v9mm12++5dtBQzPDMfdIFF/xukh0s+N7gmBfLruMCcq7RUVl+8vwaIo3NijFe+uzEdWVAI8DCSHefHKNZ0BgRcWOB5KKqxqRFFV9JKIr7sBi6xQUttIvUkmNtCTrzY6tr5LCPbk2q6xHCqpYcBLK2yuTcxO5ZaecejO08jCoihc3iHKLqDrJYEnR7b+W1QSJVHgm01HHeb1wapr71Jw/PP53QE9JSWFnJwcKisr+e6777jhhhtYvnw5SlOf2tixY7npppsAaNeuHYsXL+aDDz7g6aef1ny/iRMncv/997f8e1VVFdHR0efzWVz8STTrkj8zKpMDhTVE+LkR7e9BTKAHoT5uPPHzTqfrxw9IpKrBzFXvrON4RX1LkbB/aggf3NiJ67rG8Ok6+0nVbnEBBHoaeWNprmbx8n8r8xnZLpLXr87i1o9tDS5eujILWVV5y8HAE8Dnaw9zQ49W7HxiCHqd0OKUZFEUNh4sI6+4xuHan8b1QC+JPPTtNubvOklVg/UzueslNj82kKs7xzD5R+3vZfKwNBRV5Yp37WV/v99yjLF9Ehz+3rOhE0V6JAQxeVgKHWMDiPL3wNvNOhgmCn+PDousqvRNDtZUrQRoG+XL9d1iXb3xF4DfHdANBgOJiYkAdOjQgY0bN/Lqq6+25M3T022n3dLS0jhyxPGYudFoxGh0jRz/09CJIoPSQ+mXEoIg0NLGJysq/h6OjR76Jgfj66bnufl72Vdo2ymzdF8RuUXV3N0/STOgv9rUWvj+Ku3Wwl0nqlifX0rvpBCeHdWGcF93QryN+HsYCPI28N7KgxRX2/fONyNJIpIo8s2mQxwtr6OoqpHimkY+vqkTHWL98XXXaz5IPPSQHuHD5sPlfLvZdideb5b5cesJRneMwscIZygG0yMxkP5poSzeU0ipRj55f2ENO49Xkhbuc967VVlVua13ov3rispf5GBng04U6ZEYhI+bruXB14wkCjw7KhNFUf8ye73/En+4xKwoCo2NjbRq1YqIiAj27bOt8u/fv5/Y2Ng/+mtc/A2ITTt1vXQqxysKcGuveLyN2nuBF65oS63Jwqdr7fOnqgpvLs0jxMeNoRmnxKgGpASw5P5eBHoa+d/KfKrqHRtsLNtXjEEncmWnGLKi/dBJAvuLqlFVnA7QeBp0XNUpmkV7Cpn68y7eW3mQn7edYG1eKdN+3oVOFLisfaT273xoAHpJZPqv2jov32w6il4SWTChv83rogCPX5RBo0Xmlo/tlSub+W7zMQQBq9vT72wvVJvs8e79aitXvbuWIS+voPOMRTz9256/rRgK1tbYARr5+xu7tyIlzPuc9GVc/H5+1w594sSJZGdnExMTQ3V1NV988QXLli1j/vz5CILAQw89xNSpU2nbti1ZWVl8/PHH7N27l+++++5C3b+LvxhBEHDTS9zQo5Vd0bRLXAD+HgZeXbzfoWrhL9tO8Pyo1rx5TTurt6ggtLSuyYrKT1vti3vNGHUiN/ZoRW2jhXZPLsR02rThr3f35KrO0by0cL/N6828eEUmeknkmbn2XSyfbzjKkyNbc21Xe1u+5BAP/D0NzNl+wqGxds7RCnKLaogL9OClK9oS7GUkxMeNYG8jAZ4G3l7muKsHoFdSEBZZ4Z3l+RTXNFJWa6K01sQTIzJIDPFyunNXVZi1PM8uh/5TzgkmDktz+nsvJBZZ4apO0ciKio+bDm83PT7uOm7q4Vxt08Uf43cF9KKiIq6//noKCgrw9fUlMzOT+fPnM2jQIADuu+8+GhoamDBhAmVlZbRt25aFCxeSkHD+OUIX/zxEAcb2jufrDUfxcdcR7utOuJ8bk7NTaTDLfOQgdwrQNtwTVRA5WFzL+oNlFDR1sdQ0WnhrTHsmDErinq9yNNde2zWWYG8jD327zS5ov7hgHx/e1JmhrcP4eZttcAv3cWNAWijfbD5KbpF2nvxgSS2JId5c2i6SijozQd4Ggr2M3DcwCQGcmleIgnWSVFGtdYJ6k0xVg4XDpbUEeBrIiPRzuLZvcjAD0kL538o8XjxD0Oz7Lcd4ZKjjIS2LrFBc3cgsDZ/Uk1UNbDpURrtoP6S/YTesk0S6xAfSJT4QRVWRFetJQhS0u6tc/Dn8roD+/vvvn/VnHn30UZs+dBf//xAEAU+Djo1TBtq8LssKh8vq7PKmp/PtuF4gCNz5+Ra74LpwTyED07Xb7LyMOu4ZkERVvZnvNSzklu4rprzOxA3dY20CupdRxxvXtENV0VSAbOaSt1aR89gQXr4yq+U1s6wgCVBcY+JoeZ3DtaM7RpMW7sOhklr6vrDM9r4e7EOXuADNdXpJ4MlLMiivNTFjjv3J4ddtJ5jkZJetk6xTog1mbV2Un7edoH2sv8P1fxWiILjy5X8RrkSWi/NCy2NSkkTig73okagtsJWdHoKswk85xzV3yh+tPoSHQcetveyP5bf2isPLqOM+B7t3gO83H6NDbACz7+rOqkf6sfepoeycNoTMKD9+2HrMzuP0dK7sEINOFDCZzeQXVXLN/9aSNHkuBZUNhPq40amVdlD2Nup4NDsVWVbsgjnA91uOI4ki8UH2Wuk394gjKsCDR77fpvneJyob2Hy4HFkjhaQoCiv2FzN/V6HDz7TpDGVIi6xQVmuiqt7sEsf6f4pLnMvFn4pZVri1V7zmOPqb13ZAReCVRdo55bX5peQW1XBH7wQazTJxQV5E+bsT5utGergPpTWNLHNgwgxQUNGAqqq0ifSl0aJQWW8mr6iG2EAPOjrZqfp76Ll/UAr7C2sY8optn/iAV5ey47FsLm0XqWkxd/eAJHzc9HyxVlvM7Kec4zw4OIU3xrRn2GurCHCHsX2S6ZMcQmyQF3sKqjSFyJqJC/TQfHiKokhPBw/OZrrEByAKAle+s5btxypbpkkjfN347d5eeLvpXX3g/89wBXQXfyp6SaRfSggJwZ7kFde2vH59lyhkFb7fcpTDpY7TF3N2FHBP/0SeGtkGgAazTFF1I6IoONQiB/Bx13HvwCTyimsYeMbwzr0DEpkwKIWMCB92acgV3DcwGTe9yF2fb7a71tBgbdkc0TaCJ37eReNp+jTxQZ7c0rMVAiqP/aKtMHm0rJ6co+W0jvDlwIxsGxVHWVExnOWM7Oehp7rBwthPN1NWa6KszkRFnYkrO8UwfWRrDkwfStIUbdu7LnEBmCyKnTjXicoGbvtkE1/d3hVV/efktFXVqomPiqsL5jxxBXQXfzpmWWHR/X0Aa9CSVatglqqqfL3OsSyvUSdyVadoiqoauOb9DRRWNlDdNJT0+a1d6JkY5HDt+H5JeBolxr+91e7arOX5jOuXxKj2Uew6Ydt6mBTixbVdY1m6r8jmAXQ6K/cX0zslhGdHZdJoUQjyMhDm40Z0gAeKCle/s9bp91FRZ6beLDNrWZ41KNeaKK8zMX1kG+KDvZkwIJGXF2tL64LArhOVLQbOzXy27jBpYd5c3TmGlQ/1pdfzy+xWpoR6s7+wWlPMbOOhch7/aRczLm3j9N4vNIqqkltUQ1W9mcp6M1UNFrrGB9gYi7s4d1wB3cWfjoBVkCq3sJpjFfWcrGyg3ixzd/8kvryjB6mPaTsK3di9FcHeRq57b71djv3rjUfpcXUQPRICWX2GFkxMgAc392jF2vwy9hbay/6aLAp7T1ZxWftIPlxzkCBPI8HeVmGsyztGY5YV7v0yx+Hnuf7Djeyfns2wNuGA2qLhAtbdbdsYfzY5MKYGyIjwZX9htd0U680fbeTXe3pyV/8kftt+nH3F9mIwFkXRPFUAPPHLLpLDvGkX7cfzo1rz0Pe2k6rBPkbW5mhLDQN8vv4I6eE+XN05RjOtc6FRVZW8ohoGv2x7okoL9+ancT1RVNU1Tfo7cQV0F386Oknktvc32O0qB6WFOnRK8vPQc/eAJPYWVNkFbID5u05S22hhwqBkVufZ7ognZqeiqDD+C/uUSTPvrsjjjTEdWPnwqeGf5na6kupGnMWN7gkBGHQi47/YYqfFvvOJwUwelkZeUY1mft/HXUewt5E5O+wD6/GKem772Jr6+O2+viRMtlVrzM4IwaCT2FOgHdDNssrYTzcz556ejGwfzeUdY1quWZp0Uo6UaZ86mnny191c1TnG6c9cKCyKysZD9nWJPQXVTJq9gxdGt/0b7urfjetM4+JPxSwrLN9fZBfMwbojFEWBZy+zd6u5u38ibjqR8V/ap0wAGi0KP249TmaUHy9e0ZYvbuvCsgf7smvaELLbhLN4TyEVdY7bJU9UWAW7Zm85xl2fb2bgi8tInvwbjSYLwT5GXh/TDkeb1Gu7WCed92mYfnScvgBZUXjr2vYkaTysUsN8AFh1QLuYu+lwORNn70CSRPJnZvPExRnMuqY9X4/tyitXtbP+Xo1TRzNltSYe+3EnekmkttHC3pPVrM4tYe6OAmoaLNzRJ4FwX8eCaK0CPf+2wqhOFBwOa323+Rhfbjjytxhz/Jtx7dBd/KlIoqA5jQnw07bjPHZROqM7RjMwyQdvT08kSUIQBFQVVueVku8gjw2w+Ug513SN5ZK2EUhnFBd7JweTEOzlUGArOdQbVVV5/OddVJ/WJ9962kLyZgylT3Iwk4en8dSv9sXNttF+WGSFgyX299ZggRFvrOKXu3vx0U2duOTN1QAEehoJ9DIwvE04iqqy6kCJw8/17aZjdIkLYGRWJDd2b4WpqUOntsGCTpK4tWc8932d43B9mK87iqoy+OXlnKg81ZoZH+zJ3Ht78e71Hbl81hqbgu7pn01V1b+lMCoIAludpKqe+HkXbaP8SA71cuXTzxHXt+TiT8MsK/yUc5w9Bdo7yqp6C5KgoiIQ6O+PwWBAkiREUUSSzt6GFxfkiVlW0Em2+uGSKGDUiXxyS2dNg2iwBvQGs2wTzJtJmDwPVJVbesZzdWd7pc8gLyMHS2qxONgt7j1Zw9SfdhHq48amKYPYNGUQ8yf05ovbunJN11hkReVSBzoxzaiqNQWU/vg8kqfMpdOMRbSfsRiTRWZku0hu7tHK4dq2Ub5YZMUmmAPkF9fyyHfbSQ/3YdrF2rZ+baN8HX6uv4JGi2MrukaLwnebj7ry6L8DV0B38aehl0RecjKNCdb+6YKKesZ/sYVRs9bQ89klJE3+jfdX5SMIAnkzhjpcmxTi7fAvt04SCfU28t71HTFo7OZSw72d+onGT5qLLCtMH9mGN8a046vbu7LkgT5sf2IwOkmgziQ7zbN/seEIJlkht6iaN5Yc4JHvtnHFO2voMnMR249VMO3i1qSHeztc3y7GH70k2rlEpT0+H0VRmDw8na7x2sNN7WP8kRzc3I85J/hu01Gu6hzDVZ1OPaz0kkCQl4HOcQHoziHlYlGUJnkD2+D/RwaULLLCW9d00PzzaqZ9rL/d73ThGFfKxcWfhqqqjOkc41T3xCwrbDhUZldcnDFnD60CPembEsyBpwaT9NgCu7XpEc4lZnWSSNtoP567PJMPVx8kxMeNEG+rUFZmlB+7HXSLNDPqtZV8e3cvhmaEtfwetSmYZEb5ck//JF5drD0U5WnQ4aaT+HjNYT49w6nnjk+38Nu9PflqbDe6zVxCrcn2lOCul4gP8nS4W+3+9FJWPdqPWdd2YPirK20MPDwMEnFBnpTWOp6CfeSHHWTF+DF9ZGsmDErGx02Pu0Fy+l2ciSgI/LazgHX5ZVTVm6mqN2PUi7x+dfvzTtnoJJGMcB8mDktl2i/aSpZd4wNd6ZbfgSugu/jTEASBO/smcri0jq82HtX8GVEQNMf+FRXu/nIr393ZnaQQL3Y/3o/0J5e2XDfqRKL83M96D5IoMLJdJCPbRTa97ylhqLggD/w99DYuTKdTblHQ60S+3XSUh86w2Nvy2CAmDEpumuy0H7cfmB6CKArsPG5vYVdc08htn2zm2zu68eO47gw6o00vPcIHURTYfkjb/u5kdQMvzN/LA0NSWfVIP2QFFKwtfZJorT9UNzg+fYC1m+XzW7ue1THKEaIgMGtZnl0L5eM/7eSZUZnn9Z5glZC4qUccGw+V8duOkzbXovzdCfJyeSX8HlwB3cWfiqKozLi0DUfL6+zG/3c/3g+dJHLAgeJhnUnmpg838OvdvfDzcOPd6zoQ6e9OqI8bAR6G8+qVPl0Yyt/DwFvXtOfa9zdodk+0ifQF0PTCbP/UQvZPz+bVq9ox4o1Vdg+lvsnByIrKbgcthjlHK5g0ewfPX96W5Q/1paLOjJ+HHk+jDne9hEVWmDRb26cV4O0VB7l/cAoWVWDOjgIq6poGlGpNXNY+ijZRvgxKD2GhAxmBtlF+WBSlxaXp99Jgltmr0eXz1cajdI4L4JKsyPPullEUlRdGt6WmwYIoCgR5GgjyNtIu5u8XFvu34QroLv5URFHAoii8e11HRr65Gje9SNf4QDIifHFzs+4ODzhpwyusauSFBft4dlQmA9NC/9SBl2ZJ10nDUjW7WVpH+mKyKGxzYBR90WsrmXNvLz64sRNuOgFfd32LlnuzUbRWJ0kz3246xkODU4jwc0cUBEpqGtl3spryOjOXtY/kzWs6MOSVlQ7XC4LAlsPlTDij42XB7kLm3debt8Z0oN30hdRoFH47xPrDeaaiFVVly5Fyhy2Ek2fvpG2UH7GBHueVHhFbitpd7K65fEd/H66A7uJPRyeKCDqYd19vm7+MzQFhSEYY76zQtpkDazeLyaJg0P35uVNRELilZzy7TlTxw2kyvF5GHR1i/bEojgPy/qIanv5tNxOHpbcEcrDWBeobLXgadeQ8NpCspxY5fA8fdz2frTtslzPeeqScZ0ZlMvPS1kya7dizddNhez2boupG7vxsM1/c1pW1j/SjzbSFdj/TqVXAeeeiFUV1qqNTb5a5/dPNLH6gz3m9P1hTbnO3n+DjNYeobrBQ02ih0azwxW1diAvydOXRzxFXQHdxQZAkkRMV9Uz7ZTcnK+spqGygpKaR3BnZPJKdyt6T1Sx3oJzYNsr3nDovzhdFUXnmskyu6xpLiI8bQZ4GjHprkbC4qsHp2sLKWiRR4K2luXy7+RilNY1UNVhw04v8OK4HCcFePHlRKo//at+LnxjsiZteYotGUP5q41Hax/pzZacYVh4oYe5O23zy9V1j0EsimzXWAqw/WMaz8/YyaVga39/RjQnfbMPfQ4+/h4GYQA983PXn+vVo0i7aD0FwbPP3RztR9JLIL9tO2D047vhsC3Pu6YkoumQAzgXXY8/FBcFkUViTV8L8XSfZdqySoupGFBW6PDUXRVF585r2xAV5aq5tE+l33qkW9RwCiygK6CWBtlF+BHsZMVlkjpXVoSgKwT5uXNPF8Sj8S1d0QBSseeyDJbUtZh4NZoXbP9lMo1lmTLc4fDTqt5c0FWq3OBimeezHnRworOblK7OI9LOmpy5rF8E717RrMbrYesTxTvndFfks3lNI22g/Vjzcj5/G9+Sjmzvz5CWtnZ48zoZOEumdHMzY3vEOf6ZzXMA5fffO0JInziuu4bEfd7qC+TniCuguLgg6SWC7Ri66uB6W7j6BUSfywY0d7cymx/eNw8vt9x0cFVWlrNbEnoIqympN59QbLQgCHaYvJHnKXNpMW0jP55a29KJPuziDdtF+muv0OtFhgfBIWR33fJWDThLJeSzb7nqPhCBKaxo5XmEvwgXWQZrbPt2ERVZZ/lA/8p8exktXtmNImwjcDDpkReGx4c59QotrrA/OMznfYmgzqqry0JBUh7ryXeICzntASW1SXHTUffTt5mP8uPW4SwbgHHClXFxcEERBO6AD3Pb5NnY9EUK0vwfbnxjcIrEriQI6UURR1HPaoZssCn2eX0pRdWPLX/b0cB9+HNfjrEp9R8rqNAPInZ+s583ru/DO9R3IfmUlpbUmm+sqsO1YhcPgsmRvEa8uPsDd/RM5+PSwls8mIiBJAspZgtLRsnqOlNUR6mPklUUHWjTQqxvMzLqmAyOyInlv5UF2azxQALonBF2Q2oNVnkFh1rXtGfzyCrvvrkdikE1d4fdgllXWaWj/nM7k2TsYnBGKh8EVspzh+nZcXBAsiuJQJRAg44mFHHx6GA0WhcW7CzlZ1cDJqgYKKxu4sUccmVG+TgOEqqpsO1ZBQaVtznt3QRWP/rCdl67IcrjWZFHYqHG8B1iwr4yjpdXEBHrz1jXteX/VQYK8rHK7QV5GZAVynOiPALyx5ADj+iYgCjBv10lKa0yU1jZikCTG908kb2Y2CZPmaq71MupIDfPmhy3H7QeUPtvM7Lt68MvdPe2UGQGCvY3EBNhb3f1Z6EQRfw8D717fkfX5Zfi66/Fx1+HvYTjv/nawGkcPyQjjxQX7HO7SPYw6VzA/B1zfkIsLgk4U6ZYQyLJ9ji3jLIrKiv3FdgqL6w6WMe/eXvi66x12N1gU1WFQ/mHLcbKi/bi2S6zmTl8nCQ6LiwD9X1pF3oyhdIoLoEt8IKqqYlFUFFVFAC7JimTW8jwqHASflDBvdJJIo8nC+C9sP5unUeKGbq1Y8VBfemuYUnSI9UcUBX7aZm+EvetEFU/8vIuZl7VhxxODafOE7TRtZwe+p+eCoqioqop0ll22ThLJivajbZQfAiCIOJQdOFd0koi/h54XRrfllo83af5M9wTnOj8urLhy6C4uCLKs8PrV7Yjy157unNwvDFEQ7IyMAYqrG7njs81Nx3ztFIVeEtnspED41K+72XG8UjOfLgoCHkbno+/3fLUNURAor61l0PO/kTR5LilT5rG3oIIgLwMvX5nlUNulS1wgsqJy56fr7a7N/G0PO09UEu7nzq09Yu2ud26yjVvpQJ3xiw1H+DHnOB4Gic1TBrLswT5snjKQXdOG8NrVWSjnUPxUm3XgaxrJLaph46EyFu8tBCff9+noJRGDTkSvE5vMPv54wVIniQxIC+X6bvbfCVhTSWaXsfVZcQV0FxcESRJx00u8e31HjBo53ZsGtEUSBTYf1t5lbzxUzow5uzWDhaKqKIrKXicpHbOs8sv2E9rrFZVHh6aSGeXrcH1zYG331DJyT7vFEW+uBVT6pYRwZ58E7bWtAlBUlSUHKjTv687PttBglnl0WDpxvm5kRPjQOymIS9tFMiQjFJMTBUKAST/sQFEg0MtIqyAvDDqR8jqT1av1HIKrWVb5dN1hOk5fxMCXljP67bXc9slmXpjvWIPnr0BVVR4bnk6ahohZn+Tg887RnyuOiul/RIDsr8aVcnFxwdBLIimh3kwf2dpGG8VNJyKKIiaLws7jjoPyB6sP0T81hC5xgeibglZRVQMFlQ30SAzi3es7Mvy1VQ7Xd4kLxFrGtA1yoiigyCrvXNuBoa+u1FRh7J4QiKPaYuLkeeTPzObBwSlsOVLOunxrxJdEgQAPA10TAp320R+vqOf+b7bxv+s7snTiAJtrsqKiotItzo+1Bys017eO8EEnCUyZvYMvNx5tKdBKosA3Y7uSGeXnNPgZdCJr8+xPAG+vyKNHYuDfJoglCAKCoPLBjZ3YebyyKUevx8dNT5gTk44/C0kUeG7eXubsKKDOJFPXaMFNL7FgQm/8PAz/iolVV0B3cUGRRIHRHaPplxqCUSdi1Inom/TMVUXG111HcY3J4Xofdz2SCEmTf8Msn0oHXNs1lukjWzN5eCoz5tgP8QgCdI0PQHLQrqeTRIK9jbx8RVtu+WSTzcCMr7uepFBvp+mL3s/MZekj2fzv+o4UVzcS6GXE203X0lljsjh2TwIob+qeqa43MeWnXRwprSWvuJZIf3d+GteTz27tpln4BHg0OxVBEFi6r9im20ZWVO7+YivzJ/RGEBy3Kiqq2vIQOh1Vhfu+zmHBhD74uOn+lqCuk0RCvN0YmOb2l5tuCILAD1uOc/K04bJak8yEr3M0ZQn+ibhSLi4uOGaLQkWdiV+3F/Dm0jwe/WEH4z7fgqyozB7Xw+E6L6OOjAhfFBWbYA5WAa1ftp3gpu5x9EoKslubGuaNt5vz6UidJNI/LZQnL27N2N7xTBmexqtXZfHpLZ0B55ozx6pg/4kKvIw64oO98HXXtwRza2uiqJk6aKZ7YiAWWWHACwv5KecEW49WUtVgYU9BNdN+2YUkieyfrq0Nnx7hy/Hyes1+9hOVDUz4OsdhMFdVlf0nqx1qw5fUmLjny62IglXSoNEiY7YoLe2WZidaNX8Wp7tR/VWoqkp+cY1NMG9mxYESPlx98F/RB+/aobu44Oh1Is/O28dCDdnZN69pz2tXt+MeDS/Rjq38kUSBtbnaBcJHv99Om0hf3rm2A92fXUxNg0yQl5FQHyMj20WeUz+7oihc2zXmVL+4IKATBRRFYV+htipkMwdK6kmO8EMv2ad0BFVl1rUdGPbqSjvTCrAOGQkCFGk47n2+/gjdEwIZ0jqML2/rzNX/22D7/gKszHXcPbRoTxEfrDrITT1aoUKLfLAoWDVTtOSLT2ftwRJkFXYer2TLkXIq6sxU1psRBYHHLkr/2yzrLiQWRWXpPm2lSoBn5u6ld3IwsQHnJ0D2V+EK6C4uOIqisl5jcGTOjgI6rTnE9V1jWbq3iNlbbVv1usYHYpYVrn5vg91asB6Hb/90E7/c3ZMNkwaik0SbYSKLrCDiPPCITTtZnSTY/GUQBIGLsyJZnVfK1w603XslOR6m0Usi0f4ezLi0NRO+3mZzzagTaR/r7/TOHv1+B1nRfnSOC2Te3T3xcNPhYdThprOmq0prHBtaACzeU8jNPeNYn1/K4dI6KupMVNSZuXdgEsMyw+m2/oimkTfArT3i0Usiz83bZ/cznkYdDw5Odvq7/43oJdGpAFmjReHxn3by+a1d/8K7+v24ArqLC4qqquwpqGrRPDmTmXP20CHWn+cua8OLo61GCc2m0RZFRTrLRnB/YQ1V9RaCve2NEP7oTkpRVJ66pDU5RyrYd0b6JSHYi8CzmC9IosCl7aKoN8nUNFoI83Un2MtImI8RvSRytMyxIXZ1o4XFe4u4vlsr3Nx0FFU3UlxQRXmtiU6tArilZzwfrzlEUbV2/WF0x2hkReW2jzdR3Xjqu/94TR7bnsjmtavbMfjl5ZqDPJd3iKLBLGv26s9alkvv5CDaN1nm/V00tzA2m3yA9QF+vn/mFlnhlp5xLNh1UlM6AaBVoOdZJ5D/blwB3cUFxaKoDnuqAUyywtfr85k2MgtRFKisN3OysoGCynrc9RKdWgU4tKQDSAj21AzmfwbNqZO3r2vP8NdWIWId/MmI9KFfSug5/eVWFJUxXay91RZFobLOTFmtCVlROVHhXNmxa1wgR8vq6HvGAFJMgAfz7uvFt3d0p4/GcBJY2y53HK+wCeYAdWaY/ssuHhuRwXOXt+W2T+wHeaIDPFifX4pJo11PUeG+r3JYMKG3TTD9K7EoCgcKa5i7s4CaRqvUboNJ5qmRrfF205/XPekkkY6x/tzaK553HUg790sJcQV0F/9t9JJIvdl5X/XjIzKRRIGhr6ywEb0ySCI/3NWdlDBv5tzVjeFvrbVb2yMx6Jy1X84HvSQSE+DJtqmD7XakFllpcUNyhKyqLN9bzL1fb6Wq/lRwHd8/kQcGJXNzj1Z8sPqQ5tqYQA++2WSf7jlSVsfEH3bw6lXtmDGyNZN/tNVP14lWGYBvNdYCfLzuCNd2i2VQeii3921FQ4NCl/hAYoM8CfW2nh5WOHkIF1Q28Oj3O3jzmvban/kCm1KIgsCn6w7x5Qbbz1dnlnn/hk5/6L0fHpLCygPF7CmwPZEZJJGeSUF/WOTsQuMK6C4uKKqqcnf/RJbsLWKHht8mWIumJdWNdgqGJlnhrs+3MPfeXqRE+mmu7ZUU3CJ+da4oTQVQAN05dFQoqsqqAyX8trOAkmoTJTWN1JlkPr+1C4FeBqepB0kUWLy3yCaYA7y1NJdeiUE8mp3G0r1FHCyts7neqZU/bnqJVQ4C6085J+idHMxVnWP4bUcBq/NKSQrxJD3chyGtw9BLotOT0aCXV5I3I5tHh6Rr7jgnZqfy/qqDDtc3P6S/2nCEH7Yep7LOTFWDmcwoP965roPDdX8GoiCwYr/9Z1u8p4jP1x3mqs4x5/VAsf53oPL61e0Y/toqG/epjk1/Hv90XAHdxQWl+S/J29d2YOgrK+xSAGDNhy7br91hcKSsjoe+28Zb13Qgf2Y2rZ9YQKiPGyHeRkJ93OieEHhOuVy1SWL3eIXVbKOoqhF/Tz3D24Sfda1eEnl3ZT5r82wLhOO/2MI3Y7s57foQBYGVB+w7UhQV7vlqKwsm9OHrsd3oPHOxzfW3R6egKM5VCB/7cSd9koL46ObOSKJgF5jPJmcrigJV9WYe/n47FXVm6z/1Jm7qHsftfeL5eXwPLn5jtebaPsnBmC0Kj/6ww+b1gsqTfLL2ENd0ib0gu3RVVTlUWudQgnj6nD30Sgomws/tvPLpOkkkPsiLndOGoKpq01iagCBwwVy0/kxcAd3FBUcniYT6GnlmVBvGnSFW9d517TDoJM0dVzO/7TjJZ+sOM6ZzDLuftO3NlhX1nFIugiBw8RurbQKBKECItxvtY/yc/uVvtMhs1uiA2HS4nJcX7ef+QY67Pk5U1FtH8jUorGpkwtc5fHBjJ/JmZmNRVASsbZOiKGCyKLw2Iogbvz2pub7OJCMIArlFNXy+7jDldWbK6kzUNlj44vauvHpVFkNfWekw5WWWVZbsK2b+Ltt20hcX7qNnUhBp4T70SghgZZ79EFL/1BBkVbsnfeZve+iZGETMBWjxsygqi/fYt782U2+WufvLLXx/Z3fN6+eSDpKb9Nm3Him3ToyaZAQBxvVL/EP3/lfgCugu/hJ0osjwzIimyU+BEG8jvu56Ajyswz85Ryucrj9aVocKHC4u5uN1ReQV1bC7oIq+KSE8P7qt07WqqnKkzH5Xp6hwz5fWyUovo3aBzyIrrM3TLhACvLk0l56JQbSPte36kBUFWYHqBu0Bnmb2Hy7CLCvsO1lNztEKSmtNLUXTaRdn0LtdO/hWe2I0wMOAv4eBN5fm8tn6IzbXxn22mQ9u6sxjF6UzafYOu7Uvjm6DQSeyXEMN0yyr3P3lVube24uPbuliJ/UbE+BBdIAHmw5p6/A0mBXGf7GVn8f3+NN71oWm3++MUB/r7vzFBfvYdaKK2kYLtSYL0f4ezLr27OkgvSTywoJ9LN5je2rUiyK3946/YPWaP4N/9vnBxf8rVFWlR2IQaWE+mGWVbUcrOVnVgEVRuP8svc39UkNQVZU+L27gg9WHWH6ghOIak9XNJuc4spMxfYuismSvdkrnZFUD93+T43DXJgoCu45VOHxvRYWpP+9CL1mdjI6U1rL5cBnzdxWy/VgFiSHeXNouwuH6pZOsxdbpc3Yz5cedvLxwPx+vOcRn6w7zwvx9CIJA3gztidFru8UgioKmN+vyAyX8uPU4Y7rEMCQj1O76yHZRAJrpIICDJbVM/XkXkiiy84nB3Ni9FfcOSOLxi9J5ZlQbFFVl6k/2D4pmdhdU8em6wy21ij8LnSQyOCOMUe0jHf7M1V1iaDDLvLM8nyV7i1h/sIydx6uYu/Mk763MP+vEp8misCbXPtX10sL95BXX/KNVH107dBd/GRZF5ZO1h3jq1z02r+fNzGZkViSrDpTw3eZjdus8DRIdY/1xtDGaMnsnHWL8CfN108yn6yXRoSE1WItpx8vrCPdzt8lDK6oKAtzRN5HnFx5wuD49wgeAEa+v4sBpU5ieBom59/Xm2VGZLNlbSGW9fepDkiTqTdo93++syKNPSjAdYv3ZPqkXmTNX2lwfmhHGycp68oq1+9kf+HYbPRICeemKthworMHXQ4+3mx43nYQoCBRW1ds5Mp3O1xuPcn23WFLDfHj8onRregurJjwqXN4xhl2/7Ha4PjnUG+F3FKvPFUVReWpka9YfLONYuX0uvV20H6sOlGieqp6fv49+qSEOJz6tJ7ISzTSVSVa496ucC3Ly+LNw7dBd/GXoJVFzp5wwaS6yojB9ZGviNYyjeyQGoZNEzGbt9EVNo4W7Pt+CgPUUoKgqJouCyaKgqCpmWeGtK1s7vbdwP3eq6s1c//56hr26kk7TF5E0eS6P/7gTSRJZ+2h/h2v7JAdT02C2CeZgnWQd9/kWJFFg/n19NNfKKqw6UGynVQOner7rTTIenl5snDyAvU8NJW9mNvkzs0kK9XZ48mjmqv+tw6iTyIrxJy7ICzedRGWDmRMVDQR5GbkoM8zhWkNTgVBAJX7SbyRNsWrCJ0+Zx287C7iuayyZkdoSxB4GiS5xARekMCqKAgZJ5OUrs+we8pH+bvi466367ho0WhTu+XKrQ619sakryRG7C6p4eZHjh/vfjWuH7uIvo94kazq7Azz4zVaeG92Ot65tz80fbiTAy2prFurtxiVZEZgsCilTFzl87x3HKxEEqKw3s/lIOUVVjRRVN1JS3ciEQcn4uLmR7A77tZsjsMgKi/cW2fVff7b+CL2Tg+mfGsI9/RJ4bWmezXVRsA6c7Hagzb7jeCXPzdvHo9mpLT3jc8Z1JSnUG1EUEUWBZU5ODyerGvhs3SHu6JtIsPcpCdlmje7EEO8WjRYtFt7XE50kcvNHG1m+/5Q6o5dRx/z7evHiFVks3ruQeg29mY6t/HE3SBRU2Bd1J83eQedWAXx8cyc6zFjEmRmv5ofwhaJ5EGjmZW04WlaPl1HC06ijQ4w/oiA4dcradaKK91bmc1vveLvzgygIZ21P3Hey6h+5OwdXQHfxF2GRFVY42IkCzM45ycNDG0gO8WbNaRrhiqpikVV0Iux9YgCpTyzWXD9jeAog8O6KfN5aZht0D5XW8uktXZj3WDbxGl6ejw5JxqCTWOZgZ/bw99tZMKE3dw9M5oPVeZyu9ts2yg8fdz0/bj3h8LO/uzKfPsnBXNEpmqu7xNi1Fz51SQafn1HUPJ3hmRGgwuh31lBQ2UB5rYlak8zNPVrx2EXp3NYrnnccTDdKkkSdycLKA7ZSuzWNFu7+Mofv7ujGvHt7aU6c9ksNwSwrdHtmqd21qnoL932dwxe3deXtazpw+6ebbdemBGOWlQsuDzC6QzSKqrbIHzfv2PskB/OVAw0egCBvo7U76ozBMFVVeXBwCov3FDpMZQ1IC/3HtjC6ArqLvwRJFM5qrhzooUMUBRrNMiU1Daw6UMLz83ZiUnQsmNCbQC8jl6Z6MXuvvVrgVd3jkERBUzFv5YES3l2Rz6094zRlBG7sGYeiqA6nIyvqzNz7ZQ6f39aFHdOGtejMgIrUZNSRFuLYgEFV4UBRDR1bBfDEz7sorbF2spTWNjKuXyLDM8PZM20gaQ5OIBF+7mw9WmEnHvXB6kOMaBvBQ0NSWJVbwq4T9qcEWYUV+7UfpFuOlPP60lzu7p/IhIFJdqmEgWmhTrV01uSV8r+V1u9185SBSKKAXhKRRGvr5YVWJRQEAUkA6Yx9tqKqTB2Rweq8Eo6W2R/JRAEGpYVq3l+zycbLV2Zx6Vtr7AqoQpOh9T8xmIMroLv4i1BUGNsnnu+2HKO4WlspUKfTYbIoZD258IyilIVxX2zl27HdePH6XszW2GWLokhRVYPdyHYzz8/fS8/EQJJCvVnxQHd+21VGhL87oT5GDDqJ3KIahxrhAGvzS6lpsGCWFXYcr6S4upGSmkYq683cNzCZMd0SeOzX/Q7XD0oPpbbRwidrD9u8PmX2Tjq3CiDI28iAOC8WH7R9WAV7GRAFwWHv9bXvrWfD5IG8MaY92a+uoMF8Kvexc0ofdKLAkr2O0w+vLz7A0PQQ7hmQxLh+idbdLrScIs7mMbrpUBm39YrnQFENJyrqqWqwUFVvJjnUm8HpoX9Li58oCOglgZevyOKKd9bapaPax/jj4+5YK18vibSJ9GVs73i7015mpC8BnoYLcdt/Cq6A7uIvQRIFvIw6Xr4yi+veX49WnJBVWOOgw2Dz4XJeWbyfCQOTyZ0+hMQp863vK0FmpB9mWWWRk4ETs6xy71dbmXtfb2KC/bmjrz8WRaGi1kxxdSPxQZ60i/Zl61FteYJof3e83XRMmr3DTkOkst7M05dlkjdjKAmT59mtTQrxIsLPne+32HfwVDdauPvLrXwzthv/u62XXUromVGZDk8eYC28jv9iK+/d0JE9TUNX1hOEgiRYd5wbHfSLg/Wk4WHUoaiwdF8xlfUmKuut+ueD0sJIDfemW3wAazUcjgCu7mxtEbzhgw02o/JGnchv9/b62/TDdZJIh1h/bu4Zx3srbSUMBqaFnpMy4/2DkimubsQsq3gYJNwNEj0Sg/6QquOFxhXQXfxl6CSRnolB3Noznv+ttM35rnqwJ5IosEjDBKOZN5bkMiAtlDYRPux7aiiCIKCTTo28a7nNnE6nuEB0osgdn21mXX4plfVmVBV83HUsnNCHD2/qTMfpC9Ey5bmlVzyCIGh2lXy54Sj9U0PolxLC6od70+O5FTbX+6eGICsqz/y2x24tWCdO31iay/j+ieTNGEqDRcXQlLoAqG20ODx5ACzdV4SASr3ZOqBUWmOivM5EQrAHmdH+jOuXwIPfbne4PszXnU2Hy+yUF2dvPc6C+/rw6a1dSNQ4FQG0i/Fnxf5im2AOp7pJfh7f829t8XtkSCpp4T54GCS8jDq83XQkh3qftfumuQumeWhNVa36P6p6Tj7cfxuugO7iL0VVVR4ZmsLBkhpMFsWqy+LjRkSAtzW14KRlTGl23QF+zDlBUXVDSzfLW2PaMb5fEnN3nLRrH2zm8g5RVNSZ7DSvq+qtu+Svbu/KBzd25voP7A01+qeEsKegisIq7XTRw99tZ+H9fQj19WT/k4MQRbEpH2v922+WFafeqa8tPsDY3vEY9RKy2UxBpbVH3CQrdIkL5M6+Ccw64/jfTKiX9XTz8ZpDPDtvn8213U8O4fIO0SzaU8S8nfYSArEBboiCoOkmdbSsnqk/7+K5yzNZ+2h/uj2zxOZ6XKAHPm46Fu3R/jPbdaKKlxbu/8OGGBZZQWkKpM2SveciYysIAqKocknbCERB+N3pH71O5L0VuXy98TgHiq3/Tfm46Vj8QF8CPP+ZptGugO7iL6VZrOu902ROzbLSkoLplxLCFxscd3wkhXizIb+MR7633XG+tmA34wen8+Y17Rnx+iq7HSNYfUbnbC/QbPHbcLCMN5fmMq5fIpe3j+S7LVb3pO9Hh5Geno7eYORNBwEVoLzOjFpfheARhMFwKseqKCqWJq2ZBbemMPi9fZrrs6L9MOol7vxsM3NPC7yCAJ/e0oUJA5P5bUeBpi7MwgcGoZdEu1F1gPTH55M7I5tnR2Wy+XC5Xf3i+dFZSKLAEgdB+ZtNRxmcEUrf5GBu7BbDqtxSEkO9iQ3w4JKsiCazascP4beX53F9t1gCvQxIgq2y5blqi6vAB6sPWrXPG6z655dkRdAtPvCsqQ9HJuHngsmi8OLCXJsUYFWDhYe+3cZHN3c+7/e9kLgCuou/nDP/Eja3timKytSL01l/sIy8YvtddnyQBwZJZL7GbvLV5YcZNzCFhGAvHhmaypO/2k4wdo7zx8PgeDcJ8OqiA9zeI4ZnRmUy47I2TcW1U/daWOk8pRMQYB2kGfvpJnKLaimrbaSi3kxqmDc/j+9JYnw8oB3Qb+4Zh0VW7CRvVRUe+CaHRff34cvbutL9jF0ygLebnqp6M1uOaFuoPdlkaPHC6Exu+GAjRp2In4ceP3cDWVF+HCmtI7/EsXvSo99vZ8kDfZl6cWu71IlFVoj1d3dY6JYVFR83PfnFtXy4+iDVTUXT6gYL00e2JjnM22lro6xYtXSembvX5vXl+4pZ9EAfvI2/f+d9LlgUhVW5xZr1nGX7i/l641Eu7xD1j9uluwK6i38MoiggqgJvXtOOi19fbTe6PWV4OqKTPHvyYwvIn5nNzT3jKKpuwCyrBHsbCfY20i0+EEVVWe3AcBqsBUKDwUC9WearDUcpqWmkpMaqfz5jZGsmDktl8d5Ch2kXQRDIK66xUy/cU1DN8/P3MTE71WHhtEtcAOsOllGjIS9cWNXIw99tZ9a1HXj60tZMnG01tOjXyouZV3TELCss2lPocLjok3VHGNc/iT7JIRyYkW0TQM2yQkW9CUFAs1AN1rZNURCoN8s89O12Kuut2ueyovLZrV345NYupD8+X3NthK8bBp3IN5uO2hWT7/s6hzn39HKaYxcEgfm77FNFxTWNTPrBscnGH0USBLs/x9OZ/utu+qUEW08e/yDTi3/OnbhwgXW3nhzizUNDUwBrzjzYy0hGhA9d4wPZd7LKoRY2QPykuVhkhUez05g4LJWberTi4swIwnyMiILAlZ2inf5+s6wyb+dJnvx1N28ty+ObTUdZsreoZYT+5SuzNItil3aw5rHna+SpAd5bmc+Gg2UoCGyb2NPmWqiPEX8Pg2Yeu5m5O09SVl3N5R2j2Td9KLkzsvnwjj6EB3iil0RNTZPTCXC3Tj9W1JnYd7KaNXklfLfpKOU1jWRG+XFT91YO13aKC8DLTcd3m48yZ0cBq3JL2H6skl0nqnj0++14GHR8dVsXzbWPXZTusNh9oKiG5+drn1iaEQXBYffSnB0F/Lr9BBYnwmzniyAIDtUkwdqd9M6K/H9UMAfXDt3FPxBRFLitVzyXtYvEz+NU8cksK9SbFaej7qlhXoiCwAcrc3lyjm2w+GV8Dx7NTmV1bomdOxLAvmkDMehEzQByuLSOFxbsZdKwdG7uEWfn5vP8pUPQSdprwXq/E77OYcH9ffDy9iZ3RjaKCirWPLLcNKjkDD9PT0Dg/VUHKa81UV5nprzOxNvXtOeOPgn8lHPc4XRj88Roj2eW2p188mZk82h2GisOlJCrUVAelBaKWVZ4/Cd7Ia75uwr5fssxLsmKYFBaCAvPSGn1TAwiv7iGQw404d9flc/gjFCyov3sUi+KojotRANM+XEnvZOC8XH/s3XXFcb3T2TC19sc/kyXuIB/XAvjP+dOXLg4g0Avo02OUi+JtI3y5fbe8Q7XPHd5JqIo8MEa+8LqmPfWY7YovD6mHUaNST+9Xo9ZVjQ1wgHeXXGQHccqeDQ7le1TB7F/+lDyZw7j4NPDkCSJqnqzU133E5UNLNh1EllRWZtXypwdBXy27jAvL9xPRb2ZKcPSnXwb1ofCpsNlPDN3L++syOebTUdZuLuQB7/eiiDAq1e1Q+cgpysrsGRvkaYC4fDXV1rXX5mluX5I6zCn8sTTmqZfZ13bgQMzhpLfJB528OlhuBkkze6a0z/TlNk7NIujsqriYZQ0/6yaqTfJF2RqUyeKXNouioFpIZrX3fQifVKC/1HBHFwB3cW/kAcHp5DRJFl7JqlhvuwtqNJMQVQ3WJjwdQ7xQV48PDQFQYAATwPJoV50TwhsGWyq1RCqambMe+tBBR93A6IoUFZnYn9hNaqq4uOup1tCoMO1zUJeeknkug82MOHrHJ76dQ9vLcvjgW9y0OtEVj/ST3Pt21e3acon258AZm8/SW2DmfQIH8b3t3fV2fZ4f/Q60WFKZ+/JGjYeKiMtwoepIzIYmRXJDd1bcc+ARGaMbE2knzs5hyscfq6qBgvPzN2LThLRSxKiKFJvVihqKpRmRGr/WTXTLzUESRS4+aONdHt6MW2mzid+4hzGfb6Z2ABPJgx03PbYKynognl9yorKs6My8dWYKu2THIxR98/zGHWlXFz8qxAEARWVN8e0Z+gZo+6BnjpEAZu2vzOZv7uQRXsKuaVnPDc26b80Y7YoSGdpo9s0sS96nciEr3OYvfV4y+ud3OHLKdm8fGUWg15aoSkjkBXtj7+nAYvFvvC54kAJH685xLVdY7mnfyKvLcm1uT6odSSSKLBgt/Zny3pqEfkzs7m7fxJ5RTXUm2X8PAz4eejxdjMiK6rT9sIx/1tP/sxsrusWy3XdYlvaLVVULLJCx7gAp99LcqgXZlmh68xFlNeZW1JiL1/ZlkvbRXFlp2i+diCWdWm7SAoq6u2GthbsLmLFgWJu7x3Pgt0n2aKhBTQkI+yCiYBJooCvh54nLk63Sb34eei4uG3EXyI+9ntxBXQX/zr0kkh0gAdvX9uBY+X1BHsbCfd1Iz7IE50kOh11B/gl5wRDMsLsWs70OpGeScFc0yXGofphc1rmzN3uxnowmxoJ8DAyfWQGd3+ZY7d2cHpTLnq2dkfI03P30CclmLsHJNE/NYiEIG/cjVbpKat3aLWm2FQzw19byc939+L1Mac6P5pldgUBkkO82aRhpNGMrMKm/BIe/HYbR8pPtWjeNzCJewYk8ektnbju/Y2aa7Nbh1NvslBaa/sgm/D1NvqnhvDEiAxW55bYnZxEEeKCvPh03SHN9739081snjKQl6/MYsgrtg9wSRQYkhF2QYOqThQZkRnB8DYRSKKtTeHZdG7+DlwB3cW/EkkU6J4Q1PL/Ty+cThiUzLp8e1GmZgZnhDrcXSmKymMXpbMmr5SDGr3Zsgqrc0s02wvTpi0hf2Y2I9pGsnB3ET9vs0rqehokArwMDGsThiTAl5vtlgJWL86pX+Xw/h3dyIqxTd2Ym4pvRp2oOTQF8NHVqYiCwM85x/ls/WH2nKiiulFmQCq8fV02r1yVxeCXV1CnkVJaen9PdKLA15uO2QRzsEouDE4PpWt8EEnBXi1Tk80kBHvSKsiTn3OOo8Wlb65m/oQ+vDC6LVf/b51Ne+RlWZEYdCILHLQImiwKd3+5lfdv6MRLV2Sxu6AKL4MOT6OOUB+jU5GtPwudJPL2sjyKqhtaTKM7xwUwpkvMBfBj+mO4ArqLfy1axTB9k/HB7b3jeXu5vUa4QRIZmB7qcFcnigKSKvDaVVb5VMtpT4Vm9UJnRb74SXPJnZHN86MzmXJRGn7uBpv7lGXH+XmA/43tgk4Sefynnew8XklZrYmyOhObJvYj2t+DB4ekMGOOtiZMUFAQkijw4sL9NhOli/eCYjET7uvOpGFpTPlxp93a2CBvFBVN6QWLonLvVzn8dm8v5t7Xi8TJtrouQzLCkBWVp37VtqPLL6njm41HuaZrLPkzhwHWnndZsSo7NpplpyeHZfuK2Xa0giEZoQxKD23RU7H2zl9YnRhVVSmobOCZebaDTXN3FtA5LqDlVPhPwRXQXfy/5MHBKaw8YK8R3j0xEA+D8//s9ZJIRqQvb17TntIaE0FN7knu7u4IgsC6fHsD4dOpranGx8eHYC+j1RJPUaziTrKMpNPTPzXEoXWcXpIorzXx2brDNieM5McXkj8zm1t6xrF4TyHrNNQPm9MyWvIAKVOtOfZru8ayYNdJO+335g6aijptCeHmnvGJ2amsm9if/YU1+Dfl6EN8jJgsslOtmsk/7mR0x2iqGswcLK6lot5MdYNVHG1UhyieuiSDSbPtHzTNRPi5tei4/JXIisov2+zNS8yyyv3f5PDTuJ4aq/4+XAHdxf87mgunb4xpx52fbcHf00Cwl3VidGjrcyyiqVbXHbCmdJrb6iyKwrh+iTz0nWP1wtwKmbZeqt1O1qgTmXtvL167uh2dZyykzmSfOjHLKnN3ntRMF/V8ai7LTyu8np72+X50GIoKc3ac/fTw8pVZrMkrxc9dT4CnAT9Pq+b6mjzHU7QAP249zqRhaYR4G/F112OSVRrNMnpRAFEkK9rPYdvmW2PaYdCJTPphBwvOqD8IAlzRMZov1h9hp4ZJR0aED2G+7k7v7UKhk0TNSVWAncereHt5Hnf2SfhbdN+1+F0BfdasWcyaNYtDhw4BkJGRweOPP052drbNz6mqyrBhw5g3bx6zZ89m5MiRf9b9unBxTuglkdgAT+bd17vlNVlRkRX1nIpoKvDywgPMWm4ryJU/M5vRHaNZtKdQs4Uw2MtIuxh/zTn6RovCPV9t5adxPfngxs5c9e46m+s7pg7CoHMcQE7Ug8liJsTbyPapg1pSDbKqgqKik0RWOPEnBWvh1sfdSHZr26KwrKpc17UVH605RFW9fX0ArDriiqqy81g5F7916t7j/DxZ8FBvXr6yLUNfWamZ4x+cEUaDWWbFAfv7e+KXXfRODuajmzrTcYa9a9PQ1mF/2wBPSU0jW53MFry2+AAj2kYQ6ef+j9B1+V3fUFRUFM888wybN29m06ZN9O/fn0suuYRdu3bZ/Nwrr7zyjzVRdfHf4cxdkyQK5zyEIokC8zQCa7O0wLOjMgn2MtpdH5QeCkDOEe20zM7jVbyyaD+d4wKYmJ3KdV1juXdAEk9cnIGnUUe9SXa6U86Yusg6WapCbrG1f3zh7kIaGxuwyArXd4t1+rnm7yvDZFFInDyXuIm/tfxTWlWPv6eeaRdnOFyb3caaKz89mAMcrKjlaGktMQGePDA4RXOtosLSvUU2XSrNVNVbePi77QR5G3l2VBuba256kYsyIy54sDQ3dQOZZYWqBjNFVQ3Umyy46yVCvO3/nJsxyQpuepF/QCwHfucOfcSIETb/PmPGDGbNmsW6devIyLD+h5CTk8OLL77Ipk2bCA8P//Pu1IWLvwhFUckrqdHscgFoqK/Dy92DZy/PZOIP2wnyMhLgaSDQ08jVXWKQFZXL3rbXVG/mrWV53NC9FWP7JLSYYKtNY//uBonOcQGsznWcp7coKl9uOMLjP9lupPJnZnNJViTzdp7U7MU3SCKD0kLZdqzC7lqXZ5aRPzObS9tFMXfHSbu0iI+7jm4JgQ53gP1fWkH+zGxu7RXH/F0n2XqkHC+jDh93PfcNSMSgE53OByzZW8R3m48yqkMUfZND8DBKeBh0f9muVy+JXP2/dazNO/W9R/q7sfSBfjx9WRtu/miT5rq2UX6EeDv2k/2rOe8cuizLfPvtt9TW1tKtWzcA6urqGDNmDG+++SZhYWHn9D6NjY00Np7Saqiqss+huXDxV6KoKr9tL3B4vfX05eTNGEr/1BDWTxpoc01WVARUJFGwMxhuJsTbSJCXEUVRbCzn/Nxh05RsXroii0EvLaeqwT71ceCpweglUbPTpjlH/syoTDYeKqPkjCJl94RAPI06Plp9SPO+mtc/OyqTTYeX02iW8XXX4+uhZ0BaKDpR5ES5tnkIQNcZc1kzKZtvxnbTDMQFlc4FxPKKahEQKK5toKigkep6CxX1ZtrH+pEW5nNBUy4VdSbWn1HsPl7ewP9W5jOuXyIXt41oaUM9nWFtwv9Rei6/O6Dv2LGDbt260dDQgJeXF7NnzyY93apBMWHCBLp3784ll1xyzu/39NNPM23atN97Gy5cXDB0kqgpUnU69369jTfGtEeWZVRVxWKxUF5eztEGA51aBXBn3wTeOGPas5mhrcNQFJX5O2z7tivq4VBxNa1CvJl6cQYPfGMvDKXT6aiqN7P+oPbwVEN9HZ7uHjx9WSa3fbIJgyS2BOXLO0ZRb5Ltdt+nc7SsmugAb7Y8NsjumtmikP3aGodri2qhuKqBUF83FEVtGbyRVRVBEJk+sg0Xvb4Ss6z9oBueGQ6oXPTaapvXQ7yNLHmgLx7n4Tp0Lphlhd92aBufPD9/H5dkRTB9ZGvW5JXYPSRHtA3/R+TOm/ndAT0lJYWcnBwqKyv57rvvuOGGG1i+fDm5ubksWbKErVu3/q73mzhxIvfff3/Lv1dVVREd7Vzi1IWLC4lFVpg8PJ1l+4qp1hggAuvOzGxRSJpir21+YMZQJgxMZuneIru2SYDhbcJRVJU7v7TvlBn4yiryZ2Yzqn0UC3adbCm8Pt8Bhg7tjUVWmdck8KVF8+lhUHooe58aaqdzcrxcW/WwmaGvrmHn1MEogjWnrKpqS+ulKOmYdnEG932do7nW30NPiK87P287Yfcz39zelY5xAYzvl8jLiw7YrY3yd6d1pC/VDfZtk0XVjUz9eScvXpHl9N7PF70k8puT7qDrP9jA/Pt68+Y17dl6uAI3g4SHQcLPXU/439R944jfHdANBgOJiVYBoA4dOrBx40ZeffVV3N3dycvLw8/Pz+bnR40aRa9evVi2bJnm+xmNRoxGx0UHFy7+anSSSJC3gScu0d4lu+sl+qeG4OiU3fe5JSx7eACvXtWO4a/Zdn0EexlpH6vdBdNMc+rjjTHtW2zadOIp+7aznR5Gv7OeH+7qjkESWnrgmwdwIv09GNU+ku+3aE919kkORq+XMJlMJD++0OZa/sxsRraL5LcdBZq7/EHpYYgCvLXM/mRyxbvryJ85jPH9k1iwu9DuQdc8nHTPl1s07+v7LccZ0TaCnolBfyi9YbYoqFhbJaWmHb+iqE5VMvOLa1l1oJgeicG0i/YHTvmb/p0G2Fr84T50RVFobGxk2rRp3HrrrTbX2rRpw8svv2xXTHXh4p+OThSbdsmFdm2EfVKCcdNL7DimPd14vNLEot0nGZIRzgc3dqKizkywt4FALyPBXkYEYOth58NJogBmReWTtYebtM9NlNWaeWtMO+7pn8hPOccd6oQPa2PttZ85fS4fnpG2zpuZzbRLWrM6t5STVfaWekNbh2GyKHbBHGxz7BsPLaP8jCGkizLDqaw3s79Q+4HT7/nFLHqwPy9dkcWTv+7Cy6jHx02Hl5uOMV1iUFWVpfscd/g88v12Vj3S3+H1s2GWFXYVVLFifzF1Jgt1Jhl/Dz33DEjm7v6JPH2Gzd3pJIf6oJeEf1Tw1uJ3BfSJEyeSnZ1NTEwM1dXVfPHFFyxbtoz58+cTFhamWQiNiYkhLi7uT7thFy7+KmRF5bnLM3HTW/PQgV5GgjwNdI0PxGRRGPGG43zynZ9vZd/0UDq18reZcFRVFUVVOVDi3J9UVmDxniK7Mf/a2hrcPb14dlQmN36oLZQ1om0EkoBdMAeoqa7Gw8ub50dnct37tp04BklkSEYYzjo784oqSQjx5bnL2zJnewE+7jp83fX4uOvpnhDoND9/uLyR/OJqkkJ8+PzWrqd9Vut3YlEUp1Z4Rp30h4S49JLIK4v2s+wMvfusGH9u6xXPnB0FbD9WabeuTaQvkf7/rNSKI35XQC8qKuL666+noKAAX19fMjMzmT9/PoMG2RdQXLj4tyOJAh4GiVevatciJ9v8OqpKQrCnQ4cgHzcdkiCwYHchd31um0bIn5nNlZ2imb/rpKYEwL5pA9HrRH7bYd9pkzlzJXkzhtI3JURTkuHEcR4AACtdSURBVLZtlC+hPm4ONWPaPr2KvBlD6ZUUzENDUjhUWmstmrrriQv0xNOow2zWHv8HGPLqGvJnZjMwLYRB6aEt34vSZIBhsjjXqvEy6lFQmb3pGJuPlLFsbzEnqhq5sXsrnrg4gxu6WYebtBjeJhxZUc+7CFnTYNH0lB376Wa2PDaIF69oy7BX7Yu2w/9hnSzO+F0B/f333/9db/5PlJd04eL30LwjFEUBw2mBxCKrvHylVcBLq0A5KD0USRR4Y4l9AbBFwOvyTAa8tNxOP0Wv12OyKA71XhImzyNvZjZTR6RTUtOIQRLx89Dj72GgZ1IQZlnhxx/si7Vnrh/XL7HpsyhNHR7WXfLkn7TFv5pRgb0FVVz57jqqT2uttObYo/hhy3E7rZhmgr3dWJNbygNnSCd8tOYQV3aK5tHsVJbsLeJImX3x9uKsiPNWNzTLCvN2FWh22JgsCg9/Z+1aGtcvkUW7TzKybThtonwJ9/UgxFv/j+pkcYZLy8WFi/NAJ4m0ifR12J54UWYEVfVmdhfYe5cCmBob8HV3Y/rI1jwzdy9+HnoCPAz4exqQm6YqtWRum6mqrMTLx5f3b+gEWDdPlqZWQRGV1w66A9p9331ivVBVqKysJCcnhxvmnsp5Nz8oVh4opqDSPi204oHOgMCPOSdsgjmcrjTZloEvLrfrEBqUHoJeEvjVQY//de+vZ/Uj/Xn+8kyuOkNmNzrAnbRw585HztBLInO2O+5k+W3HSRrNFu7un8R9ThyS/um4AroLF3+A09sTJVEgwMNAqK+RXklBDi3fANKfXEr+zGwuyozgoswIm2tmWcHd4Nze7KqPdjB/Qm9kWaampoZXXlnFh/Ww+aGu+Pj588Lotlz17jrNfPQHt/dEkkSu+3QH24/ZFjCLq6oJ9Pbm2VGZXP+B/bRrVGAgoihopoMAth0tJyvGn4nD0pg0e4fNtakXZaCosNCB61JJjYkXF+5j0rB0Xhjdloo6E15GPV5GHXFBHueVbjFZFEwWBS83HQGezrXT3fQ6qhosPPnLLupMMvUmmTqzzM09WjEwLfT/X8rFhQsXpxAEAVVR+PaObsiKirfbqYChqCpLHaRMmmmwKBgkELDmoGVZ5mBJOcnhIfRODmZ0xyi+3XRMc+3wTGted/++fQz75GDL6x2eX0fejKF0iQvk+m6t+FgjHy0IAicq6jULgF2fsebYeycHc0XHaL7ZZJujV4Gdxys1PVsBRr29jvyZ2YzpEsPVnaNRVLVF91wSBHYcq7Drjjmdd1ccZGzvBEY0PeSa2wNFgXPqMDHLCvN2nmTy7B3UmuSWdNiKh/sxdUQGy/cX2w0HNWNRVOZsP2HX0plXVEP3hCA8jSCJ/+yg7groLlz8AXSSqLlzUxSV+wen8NvOk5ruRmBNA6w4UMLNH9l3q+TNzGbaxRmsPlDCCY3Ux8VtIxAFbIJ5MwmT55E3I5tJw1JZtq/IRh+9T6wXsormGLvN+pnZPDuqDU9f1rolIDdLCK/SKCyeTnFVLcG+Xuw7Wc2RsjqqG8xUN1joEh9AZpQfbaN82abxMAHrgFGghujZuaKXRGZvPW4nm3Djh9bhoGkXZzDuC/vhx51PWCUVftFIB5XWmnjil128dIEGm/5MXAHdhYsLgE4SCfY28thFaTzy/Q676+P7xqOXRH7drh1Ym3Pkz49uyzXvrbe5lhLqTasgT6fuRyUlxQQEBbPswb42u+TmoNwpxs/5B1BVBFFk8e5CyupMVNVbqKw3M2FgEmM6x/D+yoMU12j3wQf7eIJqzYmfvhs26ES2TBnIS1dmkf3KSkyyvfJidus/1slS22hhpYZEb35xLZ+tO8xNPeL4KeeEXXulp1FHea2JDQ4kFX7YcpxL20XSNT7wH2cMfTqugO7CxQVCEgWu7BTDvJ2FLN1nm34Z3z8Js6ywyEGevd2za8ibMZQeiUG8OaY9jRa5RdExws+tJd3iiC4vbyJ/ZjZ1JpmVB0qoqDdRWWemst7MNV1iyYzxx90d6h3pZQkC+05Wc/untgaod/aIxMPdg6dGZnDHZ9pTnbIKmw6V2qU2TBaFB77ZxqxrOzC+fyIvLdxvt/aSrAi7186VZk0WR1ox037ZzfA24bx4RVt2najCXS/hbpBw04lYFJVftxc4lFQAmDR7BysfPv/Bpr8CV0B34eICYpEVXhidycuLDuDvYXUI8vcwIIkiq3NLNBUVm0mYPI/c6dkMTA9BxDqc1JxGFgQB/CIB+5QLQHKgNbB+vfEoT57h9bn1SAVf3t6VnY9lkzBprt3a7vF+gMBPGqbPzVoxQ1uHM7xNOHPOKI5untwHSRT4ZZt20XT+7kLWHSxlXL9E5u86ya4TVRh1Il5GHbGBnrSO9HX4fZwNvSSeNR30ydpDPDgkleRQb2oaLdQ2/l979x0fVZU2cPx3y0x6IZBCQggJoQUIhN4FAsSAiFJkcVlgERVXQV2VFcFFQKzxta/riosiawsWukGlCIIoCKEEkN5CkJbeZu697x+TRIaZCW0SSDjfz2f+yNw5d84h4Zk7557zPFZ+zyuhfoAXHRrVqTRLZvgNlrfFGRHQBaEKqYqMv5eJWUNaVuQ9L7/J1z6qDsF+HpzOcz518dus/qiqzAPzNzusmHnm9pb8pUsUQxPC+XKr47TN8keTUF1M6Ww8eJb5Gw/z585RzP9rB8bMs8/1/d6YTiiVrGRpPO0b9s9JZs6drdiVmYOnWaG+vxehfh7U8fHGMHBaHKTchA9/YfO0/nz9YHeksn+jctcy3WLVdO7rFVPplXZSyzDOFZTS4dlv7bIrbnu6H83D/JjQI5p3f3AsLg62HbiXVb7wOhIBXRCqmAQkzPqWnKI/VndM6hvD5MRmvDC0Nfd86Lx4gslkoqDEytq9jnPCL67YQ78WITw/LJ4l2zOxXDSdLssyp3KLXZZPe2HFHvq1CKVrbDBf3deJxmEBeJvlspUkEr+fzeWwk2LT5UqKi/D19GLNE30cjpVadcyVBL3CUp2j5wppEurL8h1ZZBdayC4qJbvQwv29YgjyMV/VEkFVkYmr78/47tG8t84xKMsyNAvz53+bjjikym0721ZE+7EBzUjbleUwdkWWGBxf/4YO5nCFJegEQbgyVk1n3b4zdsEc4M1VB7FadRJbhDKsXYSLtgbf7MxyevOwyKLx98/T8VAVlkzqiY9ZITzAk7j6/vylY100AxZty3SZF6WwVOOzTYdsHzYxwfh7m1FVFUVRUBSZoEDfSsc16F8/I8sSH244zPgPfmH4OxtIevUHbntzHZpuMP+eTi7bRgZ50by+PyVWnUmfbOXpRTt5ZeVvvL/+EI+lpl/zeu8nkpoRVdfb4fnRnaMwq7LLjU1Tv0hHkuDFYfEOx7o1rkuAt/ma+lUdxBW6IFQhVZFZtM35SpYWM9I4MMc++2H5Nv4fp9yCSZVZUsnywp8PnWP+xsOM7hzFrlm32h0zDMPhQ+Rik/s1Q1FknkhN59j5QnKKLOQWWYkL9+e9MR04+FyyXUUlu7aJTcCwFUk+W2B/83PO8t08e0crJvSMZu46xzn+21qHo+kGD3zkuFxz3b4zpG4+xp3tIlCvYs23JEnIksHLw9sw8j8bUWUJb7OKj1lhTNcoTuUW8+tR51kyP9uSyaw74ukcU5cP/9qRUk3Hx6zi7aEQEeiNxapjusyatNeLCOiCUIVKrTrf7Xa9Y/T55Rn8Y2Ac3z12C6osORSkOOIkp8mFDMNWEYiybf+GYaBpGiaTiYcTm7Bse2YlUycSe7JySd1iv3npRHYRn28+xtB2Eax/ohc9Xv7BoWWfZiFsPHjWIZgD/G/TEYa0DefxAc34cssJzhXav2ZIQjgYBmv3OV8i+Oyy3SS2CMXfS72qoK4qMp2ig9j3bLLd1b5V0/lh35nKUtHT+pmVZMwcQPfYemU3oWtGDpdyN/bHjSDUYLpusPtkrsuNRQBzfzyCVdPwMSuYFQmLVaeg2MLZ7EIsms4LQ1vjKqYossTtbcJRZYmYp1bQeNo3xE5Po9mM73h37W9IErxyVxunFenHd20IksQiJzdUAZ5dlkF2oYWwQB+HY81D/Qj0Nrn85mEY8Hiqbfpi2cM9SBnRhvfGtOez+7uw4uGeNA/zp+jiSf8L5BRZePGbPS6DuV7J0sILXTx1oyoyfZuH0K1xXZdtejWth6oqqIpc44I5iCt0QagysizRJjKQAXGhLvOEx9X3x8ts4pWVe3nzoiRfB+bcSueYuozuHMVHPx1xaNs5Oog6PmasVscPjBfTDnBvz1jaRwUxtlsj5l1UGHr64JbIssQSVxubiqz844vtvD+2IwefSya3yIpZte2KVWXQDRwKf1zoyNlCdp3IpV1UHYa3b0BhqZWCEo38EguabvBbVuVVlxoH+2LRdO54az3nCy3kl7X/S5coZgyOq7RtZayazovD4un/6lqKLY73Jm6vAStZKlMzey0INYSmG7w4LJ463s4TQw1uUx+LpvOek6Vyjad9g6bpTBvUgsggxzXQg9uEU2rViZ2e5vTcsdPT0HWdacnNOfhcMoeeH1jxAAlN01zmZAFbgY0Sq4aBhCHB6fwS9mTlsv90AYos0Tk6qNKxNwvzY9n2TGKmLiPun2l0nPMdfVLW8u7aA7RtGEifZiFO20kS3NE2nLxiC7tO5pGZU0xukdV2s3XjYdKP52BxcqP4cqiKTHigF48kOmZU9DIpDGgZVmODOYgrdEGoUoos4eepMvuOVjzkJIfIHQkRHDpdQLHVeYA6d+4sgUF1eW1kWz775Th1vE0EepsI9DYzpG04JqXyaYGzZ88SVLceVt0gu6iEnEIL2YUWvD0Umof5s3dmP5rN+M5p226N62JWZP7xxQ6HJF2bnkrk+aGt+enQWXKLHL8hJDYPwcdD5ettmQ5LBF//fh+D4uvz+p/a0m72Si4eeoeoOoT4e/LeDwcczqsb8ERqOise7nnV9TwVWeLeXjFsPHiWM/kleJsVfMwq7RvVcbiHUdOIgC4IVUxVZG6LD+fnQ+c4fKaAQG8zQT5mGgZ5Uz/Ai/d+2OWybcdXfubAnFtpG1mH9lFBZcUoDEBCkaC0tLTSsm11y9Ld3vLyarurcR+zwveP9aaur+uleNMHtUDTDb7Z5bjM754PfuHrB7vz9KA4nrioWAXA/bfEkF/sfA19iVXn8dR0Uid2481R7XjgoopO5Rt4XkhzXuNz3+/5vLFqH4/0a3rVBS90w+DD8Y5LK2vydAuIgC4I1ULTDWYNaVXxs64baIaBVdPJr2T7P8CXWzO5IyECBcnhRp+ieLhMkwu2K9r0o+cdplYKSjWmLExn/j2dXS5PbBziy+q9p51ege/MzOWrrScY0SGSJemZDhWK4hsEsmhbptM19AC/HD7PhxsOM7pLFHPHtMdUtqPWz9NEVF1vcoosVJJ7jP+uP8wjiU3RDZ3zhRYKSzXyS6x4mRQaBHldcnWMq6Bdk4M5iIAuCNXi4u3ssiwhI6HpOv+8vSVr953mVK5jCgAPVWZga9c7FHXdYGpyc1Y7Kdu2/ameyJKtupAzP+w7w2e/HGNY+wh2z+hLi5mrALjLC57+ey/bpqVK1sE/sXA7Sa1CeW9sByxWHUWWURVbzhnDgMxs1/PzAN9mnGJst0b0ahKMVpYRssSqo8gSqiwR4GVyuZa+e2w9ZFkidfNxu28Igd4mVj/WmwAvE3INKRvnTiKgC8J1pMgyHqptd+K4eY4bbXo3C8bHw/V/U1mWUAyJl0fE21UoUmQJX1/bbs/lLnZGAsxZlsHwduEoJjN7n70VRZLs1l+72oRT0X9JwqoZZSXpbBuT8oot/LlLFBNviWHuukMUlDr/BjKwdX2KLRrNn7avf3pbfBivjUxg+qAWTqdzwHbT1GLVHY5nF1p4etFO3rq7XaX9rq1EQBeE68ykyPRuFsKI9g0cNvlcTkIokyLTObouqx/rjadJwc9TxcdDxTAMjp8vcpm3HCC32IpuSBw4nc/3u3+37RYttuBrVpg6sAVPJjd3ejO3nFlVSN18jOlf77R7fvOR8yyb3JP3x3XgT//5yUmfJQa3qc/OE46FLpZuz+LxAUWM6BDJom2ZDhkU/TxUEluElt1LcLR0+0mGtfudnk3q1Yiyce4kArog3AB03WDmkJYMbRdRkWLX38t0RasuGtWz3wQkSRKRQd6M6hTJJz8fc9rmt1n9Makyb3y/jxU77deV92wazG3x4SxJzyRtl+M6+v+7qw0mF6kN9mTl8daqfUxKbEJSXChpF63D79U0GD9PE+86WckC0DtlDfueTeal4fEkvrKWIouGIkv4eCgMaROBSZF4daVjPvVy077awerHe6PItqCvGwa6Ybt5LEuOm45qCxHQBeEGIMsSnqpC18b13HpeXTd4+rY41u497bSUnaqqFJZaWeWk/um4eb+we1YSz93Zmp8OnnOYz05uFcbpvGJ+Pux8C//bqw9wW5twXrmrLZnvbaCeryf1/Dyo62NmcHw4BSVWvs1wXXf1pbTdPJkcx+bp/TApMuYL8qhYrDrr9zj/MADIzCmmxGq7YbrjRA5FpdaKGqN3d27osl1NJwK6INwgquImnixLmBSZ54e1Zux/HefoNR2W7zhJiYt18PfO38wHf+3Eykd6YFZtFX5URa7Ykbgs3XVulFJNZ+qXO/j8/q4smdTL4Xh+ceXJwxZuOcGTyS0wqxJn80soLNXIK7Zg0XQ6NKrLwkmuk4d1iKqDv5eJpxftdPgGoekGo7tEXXXe9RuZCOiCUMuZFJlbmoZwX68YdmXmEOBlIsDLxKzBLTCpMotdrIIBWL//LBg6oQH26WjL56+Htg/n8S/SXbav62Nb5/7s0gy2Hcsmv8RKfomVtpGBvHV3O565vSXPLHa+Dn9g6/pIksSof29k89Fsu2Ozh7Ti7s6RpD+dSJvZ3zu0nZQYS7FFcygMAvBy2l4Gtq5PkI+51gV1EdAF4Sag6wZPDWxR8bNRtkwQIMDLeVqCcrIsk5ldxF/n/UJusYW8YisFpVYm9IjhqYHNWTG5B8lvrHfa9s6ECPKKLcxdb59G9/j5Iga2PsmfOzfkwx8PcchJRsg7EyIoteoOwRzgpW/2cGurMOq4yFHesVEQabuyKCx1XMyeX2Llqa928N6YDpWOuyYSAV0QbgKaYaBZrOi6TnFxMa+9tp55RbB/TjKz7mjF+v1nOF/oOAXSLdof3bBVvd97Ks/u2H9/PMSQtuE0C/MjNtiL/aft1537e6n0aR7CKhfpg/+5aCc9m9Rj3l870Ttljd2xiEAvOjQKYoOLGqF5FwTlg88l83teCT4eCiZFQZVBVRS+dpFJEmxr4DMyc2gS6leRQkAuW7J5LWXwrjcR0AXhJmBSZEbO3cSmQ/Y3MEuKi/Dz9GLG7S155NNtDu3mT+iGqsh87aRgtKYbPJ6azrLJPVn5aB9inlpudzy5VX1UWeLV7/c57dOZ/FJmLskgZUQbUkbEs/NELr6eKr5mlZYR/mi6wdQvna9DB1tQXrfvNF1i6hLmpIBzTpFjrvYLxdTzIa/YysebjlJYaqXIolFYqnFfzxga1vWukbtGRUAXhFrOMAxO55U4XY3ScvYaDj6XzB1tI1iSnsn3u+1XnUhlRTD2/+483e2erDzeWr2fSX1j2fp0P84WWPAyKXiYZHw9VIotGntO5jltC7Bwy3GeSGrG8PaR3JlgmwbSdL3sRqvB9EFx3PvRFpftGwf7okgw+M31FSl6S606P/yjD88Pbc2gN9ZjdZI/PdBTRVVkPt94hJSVe+2O7f89ny8e6ObyPW9kIqALQi2n6QZfbj3hcjVKzFMr2D8nmbllc8qGYWujY6AZtg+Eynz281EeTmxCgJeJkzklnM4rJqfISoifB20iA0hsHsz3exyTdAE0DvYhtCyz4pzlfyTjMikSKx7uRe/mIfiaId/JxXb7qDqEB3qx+2QOOy7aoDTtqx28NrIt9/SI5l0nqYnfHdOhrDyg4zePLUfO87+fjjCyU+RVVUy6nmpWbwVBuGKqIvN9JWXwwLbZRpIkfj16nlV7fmfx9kw+3nSUA6fziQ3xo3GwY9HlcgNahqHrBtO/3sHAN9Yx6r1NTFywhbH//ZlzBZZKt+EPaRuBVdN546LiHhbNYMrCdBRZYvP0JKdt72gbgUXTGfKO4w3ZRdsy2XEih78PaErDIMe+JzQMZN+pPHa7+Pbw4jd7yCm0YNWvLu/69SICuiDUclZNZ0zXqEpfoxuw9eh5hr2zkQnzN/PY5+nMXJLBg//7FcOA5ZMd15GXG9auAbph8PHP9mkLym9ceplVPvhrR6dth7dvwJGzBeQ5yTj569FsPtp4BJOqMDW5ud0xkyIxpG04siRR6mKqfPwHtnX3r4xow586RjK+eyMe6hvLrNvjUGSZL3497rwhtpQIs5furnFX6GLKRRBqOVWRGdwmgkXbMvlut+POzD91bIAsS3z5q+P0w8EzBbz23W88kdSMd/6cwAP/s8/r0qiuN60bBJDr4gbktxmnWLY9k6SWYbSO8GfHiVxbn2To1SSE8EAvZi/JcNn3l9P2cmurMO7pEc19vWJsU0GGgS0jvEROtuvkYWfyS1m4+TijOjWkY3TQH23LZpBC/DxdtgXw9VTRDYNXVu7lwOkCiks1iiwaA1vXv2E3JomALgg3AU3TeWFYPH1T1pB70dXwPwe3xDAMlu1wnpXxPz8cZHCbcPrFhRHsY8LPy0RcuD+Ng/3o0ywYq64zeu4ml+/9zOIMEluE8sUD3TCwZWgsz6Visep8sdX1lXJ+iZWfDp4luVUY6387Q36xbQt/YamVUZ0aEhgYWOm4I+p4oRkGMrYlicoFJTHGdWvEl1uPs7PsQ+Ziw9pFUGLReHu1fYqB9OPZ9IsLJczfA+UGu4IXAV0QbgKKIhPobWLaoDhmL83A31MlwNuEv6cJkyKz9rcznCtwfpVtLVue+PWD3dk0vT/yRWXfLJpOxinnQREgu6gUWZLYevQ8Px44Q0GJRl6xFQOD5+5szXt/6cCIdzc6bettVkhqGUZmdrFDeuHj54uYPqgF+59NclpXtZ6vmZ5Ngl1eSWuGwUvD2zD4zfUVm6zKRdX1JqFhHdY4yXFTbNF56ssdTiseXW8ioAvCTUKVZUZ2jGRkx0i75zXdIMtJ4q4L9Yith0mR+feaA2SczCWv2Jb3PDzQizdGJfD9o7255eU1TttO6BmDWZV5dtluh9Uo4QFePNyvCcmtwhyyPQL0jwvF06TwspNydB9sOMzQhAiahvnxzIAwnllp3/62+PBKS9SZFJkWYX6M69aI9y/ayXpH2wisus4UF2kN1v52mqXbM7m1ZdgNlblRBHRBuIloml5Wg9TAMAx0XUdVVf7UKZLUzcfYeizbabt7ekSTXVhKysq99uu6j5yne2w9hrWL4Lb4MJZudwzKIztGcvhsgUMwB3hnzQGGtA3npeHxfJuR5VAwemjZtMeyHY7n1XSDKV9sZ/FDPRjTO4FnVtoSdUkSeJsUhrdvQOULLm2eSGpGwyBvvMwK3iZbArIOjYIoLNH4Pc/15qTZSzO4LT78Mt6h+oiALgg3CYums2LnSSZ/ss3u+Q+TfenWoycpI9qQ/Po6hzqgZgXq+JhZ8NMRp5t05izPoH9cKP93VwJLt9tnPwzyNhNZx4tXv3O+W7RU03k8dTsLH+jKu3/pwEvf7MXHQ8XXQyHQ20zP2GC2H892OaZdmbm8v/4Q9/SIJv2f/fEwKVeUQ758y/+fOkUiISFLf5QLPJ1Xgocqu8xE2TjY97Lfp7qIgC4INwmTIvPVr475TcauyGdfN43oYB/+1qcxr10UfGcOaY1Jkfl6q+MqGIDcIivTvtrBO6Pbs/LRXryz5gC+Hip+nip9m4egyK7bgq3M3ddbT3B7m3ASW4TaHdN0g4WVLC8EyC+xAAYBLhJ1XcqFedYvVM/Xg7/1buzyw2hYuwaXrCZV3URAF4SbRHZhKev2Od+x2eTplRx8LpmH+sRSVKphVmX8PE34eaoMTYjg6LlC0o87TpmUW7Ezi90nc2ka6serI9uiGwZW7Y+r+VB/T46fd100Orqej9P5bgODSX2b8NWvJyhwkjkRYER729W1u0kSPNgnlsXpmRw4XWB3zMukMCjedfHu60UEdEG4CVg0nSXpJ51OmZQ7ePAgDRtFM+XW5mUl2wwkQJUlQvw8aFDHy2VQDvQ20STEl3P5JfR5ZS35JbalkaoMW/85gJeHx3Pra47TOfDHihJnVFmmnq8Hjw1oxqyljuvVEyIDiXSyE9QdbIWyDV4YFs+If9uvwklqGXZFUzvVRQR0QbhJdI+ti1mRnQZVgJSfcvh3rMKHGw4xY/EfwbNdZCCfTezKc3e2Zsx/f3ba9rbW9ZFliX98sb0imANYdXj883Te+Ut7HujdmNedZF68M8G2osTVrkxFlhjXvRGLtp1w+JZwZ7uIKp32UBWZjo2CWPRgdyQJPE0KXiaFur7mSvt8vYiALgg3AZMi06iuDw/2jeXVb50XVx6WEIHFqtsFc4Bfj2Wz//c8ejUN5s6ECL5yMh8+rH0DNF1n1V7HKZ20jFNsPnyOSX1jWbbjpEPmxmHtGiBfYspE0w1SRrRhwaaj+JgVfDxUvM0KdyZEVMu0R5vIwCp/D3eQjEulUqtmubm5BAQEkJOTg7+///XujiDUKppuMOiNdezJsk9KFehtYvO0fhSWWomf+a3TtvvnJFNYqtEnZQ1nL9iEFFXXm7VP9CEjM4eBLioX+Xmq/DytHyezi8g4mYufh4p/WSm8mMtcLWLVdSSkiu37BgayJN1w89iXqypinbhCF4SbiG7YrnSHvP0jmm4gSeBjVhnRPhJZlnj6650u2z7y2VZeG5nA4od6UGLV8PM04eOh4G1W0XSDRz/d6rJtXrGV73af4taWYUTV9UaWpLI56stXPr2hVMEN0NpCBHRBuImYFJmW4f5seioRT1XB20Op2Mpv1XQWpTvP5wKwdHsWzw+1Eh7o6TQYD+/YkDnLdjttq8gSPRrXq7FX0zWF+NcVhJuMJEnU8/XA11O1y8uiKjIjOjRw2a5VhD9+nmanwVyRJe7pHk3riACnbXs2qUcdn6tbJy5cPhHQBUEAQNcNZtwWR7Cfh9Pj5RtpXLY3DFJGxKM6SYY1rF0DrJW0FdxDBHRBEACQZQlPk8Ks21s6HFNl6ZIrSlRFpmmoHw/2iSWmng/xDQLo1rgut7YKI+kGS2JVW4lVLoIgOHhm8S6OnS/Ez8OEv5dKbIgvY7o2umQ7wzCcTsnouoF8AxaEuJ7EKhdBEKqcVdd55oKrdN0w0HTjsjbwuFq5IoJ59RABXRAEOxfvfpQlCVkRAbkmEJNagiAItYQI6IIgCLWECOiCIAi1hAjogiAItYQI6IIgCLWECOiCIAi1xBUF9HfeeYf4+Hj8/f3x9/ena9eurFhhKwp77tw5Jk2aRLNmzfDy8qJhw4ZMnjyZnBzXZasEQRAE97midegNGjTghRdeoEmTJhiGwYcffsiQIUPYunUrhmGQmZlJSkoKcXFxHDlyhIkTJ5KZmcnChQurqv+CIAhCmWve+h8UFMTLL7/MPffc43AsNTWV0aNHU1BQgKpe3meH2PovCMLN4Iba+q9pGqmpqRQUFNC1a1enrynvaGXBvKSkhJKSkoqfc3Nzr7ZLgiAIN7Urvim6Y8cOfH198fDwYOLEiXz11VfExcU5vO7MmTPMnj2b++67r9LzPf/88wQEBFQ8IiMjr7RLgiAIAlcx5VJaWsrRo0fJyclh4cKFzJ07l7Vr19oF9dzcXPr3709QUBCLFy/GZDK5PJ+zK/TIyEgx5SIIQq1WFVMu1zyH3q9fPxo3bsy7774LQF5eHklJSXh7e7N06VI8PT2v6HxiDl0QhJtBVcS6a16Hrut6xRV2bm4uAwYMwGw2s3jx4isO5oIgCMLVu6KbolOnTiU5OZmGDRuSl5fHxx9/zJo1a0hLS6sI5oWFhSxYsIDc3NyKG5zBwcEoinJZ71H+hUHcHBUEoTYrj3FurTFkXIHx48cbUVFRhtlsNoKDg43ExERj5cqVhmEYxurVqw3A6ePQoUOX/R7Hjh1zeR7xEA/xEI/a9jh27NiVhOFK3XAl6HRdJzMzEz8/P5fVT6pa+Y3ZY8eO1ap5/No6LhBjq6lu5rEZhkFeXh7h4eHIsnuysNxwFYtkWaZBgwbXuxsAFSkOapvaOi4QY6upbtaxBQQEuPW9RHIuQRCEWkIEdEEQhFpCBHQnPDw8mDFjBh4eHte7K25VW8cFYmw1lRibe91wN0UFQRCEqyOu0AVBEGoJEdAFQRBqCRHQBUEQagkR0AVBEGqJmzqgz5kzh27duuHt7U1gYKDD8fT0dEaNGkVkZCReXl60aNGC119/3eX5fvzxR1RVpW3btlXX6cvkjrF9+eWX9O/fn+Dg4IoasmlpadU0Atfc9Xtbs2YN7dq1w8PDg9jYWD744IOq73wlLjUugMmTJ9O+fXs8PDxc/p2lpaXRpUsX/Pz8CA4OZtiwYRw+fLjK+n053DU2wzBISUmhadOmeHh4EBERwZw5c6qu45fBXWMrt3//fvz8/FyeqzI3dUAvLS1lxIgRPPDAA06Pb9myhZCQEBYsWMCuXbuYNm0aU6dO5a233nJ4bXZ2NmPGjCExMbGqu31Z3DG2H374gf79+7N8+XK2bNlCnz59GDx4MFu3bq2uYTjljrEdOnSIQYMG0adPH7Zt28YjjzzChAkTrusH1qXGVW78+PGMHDnS6bFDhw4xZMgQ+vbty7Zt20hLS+PMmTMMHTq0Krp82dwxNoCHH36YuXPnkpKSwp49e1i8eDGdOnVyd3eviLvGBmCxWBg1ahQ9e/a8us64LStMDTZv3jwjICDgsl77t7/9zejTp4/D8yNHjjSmT59uzJgxw2jTpo17O3gN3DG2C8XFxRkzZ850Q8+u3bWMbcqUKUbLli3tXjNy5EgjKSnJnV28KpczLld/Z6mpqYaqqoamaRXPLV682JAkySgtLXVzT6/ctYwtIyPDUFXV2LNnT9V07hpdy9jKTZkyxRg9evQV/W1f6Ka+Qr8aOTk5BAUF2T03b948Dh48yIwZM65Tr9zD2dgupOs6eXl5lb7mRnXx2DZu3Ei/fv3sXpOUlMTGjRuru2tu1b59e2RZZt68eWiaRk5ODh999BH9+vWrtHJYTbBkyRJiYmJYunQp0dHRNGrUiAkTJnDu3Lnr3TW3WLVqFampqbz99ttXfY4bLjnXjWzDhg189tlnLFu2rOK5ffv28eSTT7Ju3bpKi2Hf6JyN7WIpKSnk5+dz1113VWPPrp2zsWVlZREaGmr3utDQUHJzcykqKsLLy6u6u+kW0dHRrFy5krvuuov7778fTdPo2rUry5cvv95du2YHDx7kyJEjpKamMn/+fDRN49FHH2X48OGsWrXqenfvmpw9e5Zx48axYMGCa0pSVuuu0J988kkkSar0sWfPnis+786dOxkyZAgzZsxgwIABAGiaxt13383MmTNp2rSpu4fioDrHdrGPP/6YmTNn8vnnnxMSEnKtQ3FwPcdWlapqXK5kZWVx7733MnbsWH755RfWrl2L2Wxm+PDh7i2kQPWPrbw62vz58+nZsye9e/fm/fffZ/Xq1ezdu9dt7wPVP7Z7772Xu+++m169el3TeWruJaULjz32GOPGjav0NTExMVd0zoyMDBITE7nvvvuYPn16xfN5eXls3ryZrVu38tBDDwG2PzrDMFBVlZUrV9K3b98rHoMr1Tm2C3366adMmDCB1NRUh2kKd6nusYWFhXHq1Cm7506dOoW/v79br86rYlyVefvttwkICOCll16qeG7BggVERkayadMmunTp4rb3qu6x1a9fH1VV7S6eWrRoAcDRo0dp1qyZ296ruse2atUqFi9eTEpKCmBbzaPrOqqq8p///Ifx48df1nlqXUAPDg4mODjYbefbtWsXffv2ZezYsQ7Lo/z9/dmxY4fdc//6179YtWoVCxcuJDo62m39gOodW7lPPvmE8ePH8+mnnzJo0CC3vffFqntszqYhvv32W7p27eq2PoD7x3UphYWFDsUSyss/6rru1veq7rF1794dq9XKgQMHaNy4MQC//fYbAFFRUW59r+oe28aNG9E0reLnRYsW8eKLL7JhwwYiIiIu+zy1LqBfiaNHj3Lu3DmOHj2Kpmls27YNgNjYWHx9fdm5cyd9+/YlKSmJv//972RlZQG2/yDBwcHIskyrVq3szhkSEoKnp6fD89XtWscGtmmWsWPH8vrrr9O5c+eK13h5ebk9Mf+VcMfYJk6cyFtvvcWUKVMYP348q1at4vPPP6/0HkJVu9S4wLZGOT8/n6ysLIqKiipeExcXh9lsZtCgQbz66qvMmjWLUaNGkZeXx1NPPUVUVBQJCQnXaWTuGVu/fv1o164d48eP57XXXkPXdR588EH69+9fLVOerrhjbOXfNMpt3rzZaXy5pCteF1OLjB071mmNv9WrVxuGYVti5Ox4VFSUy3PeKMsW3TG2W265xelrxo4de13GVM5dv7fVq1cbbdu2NcxmsxETE2PMmzev2sdyoUuNyzBc/04urNv7ySefGAkJCYaPj48RHBxs3H777cbu3burf0AXcNfYTpw4YQwdOtTw9fU1QkNDjXHjxhlnz56t/gFdwF1ju9DVLlsU6XMFQRBqiVq3ykUQBOFmJQK6IAhCLSECuiAIQi0hArogCEItIQK6IAhCLSECuiAIQi0hArogCEItIQK6IAhCLSECuiAIQi0hArogCEItIQK6IAhCLSECuiAIQi3x/0L+lgknK+qIAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df = df.dggrid.dggrid2geo(dggrid_instance, dggs_type, resolution, dggrid_col=f\"dggrid_{dggs_type.lower()}\")\n",
    "df.plot(edgecolor='white')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "K9OII5RXDH1n",
   "metadata": {
    "id": "K9OII5RXDH1n"
   },
   "source": [
    "### DGGRID binning"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "g0A2ppCmDH1n",
   "metadata": {
    "id": "g0A2ppCmDH1n"
   },
   "source": [
    "#### Pandas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "ChAqZsCRDH1n",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 452
    },
    "executionInfo": {
     "elapsed": 314778,
     "status": "ok",
     "timestamp": 1779596430784,
     "user": {
      "displayName": "",
      "userId": ""
     },
     "user_tz": -420
    },
    "id": "ChAqZsCRDH1n",
    "outputId": "72c4132f-2cc1-457c-ff62-01bf70dfaf2b"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "resolution = 10\n",
    "df = pd.read_csv('https://raw.githubusercontent.com/opengeoshub/vopendata/main/csv/housing.csv')\n",
    "stats = 'max'\n",
    "numeric_col = 'median_house_value'\n",
    "df_bin = df.dggrid.dggridbin(dggrid_instance, dggs_type, resolution,\n",
    "                    lat_col='lat', lon_col='lon',\n",
    "                    stats=stats, numeric_col=numeric_col, address_type=address_type)\n",
    "df_bin.plot(column=f'{numeric_col}_{stats}', cmap='Spectral_r', legend=True, linewidth=0.2)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "SL2r3PXkDH1n",
   "metadata": {
    "id": "SL2r3PXkDH1n"
   },
   "source": [
    "#### GeoPandas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "owBa7AANDH1n",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 452
    },
    "executionInfo": {
     "elapsed": 285521,
     "status": "ok",
     "timestamp": 1779605042917,
     "user": {
      "displayName": "",
      "userId": ""
     },
     "user_tz": -420
    },
    "id": "owBa7AANDH1n",
    "outputId": "8de46508-8c87-4d68-f753-df856e1dbe26"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import geopandas as gpd\n",
    "\n",
    "resolution = 10\n",
    "df = gpd.read_file('https://raw.githubusercontent.com/opengeoshub/vopendata/main/shape/housing.geojson')\n",
    "stats = 'max'\n",
    "numeric_col = 'median_house_value'\n",
    "df_bin = df.dggrid.dggridbin(dggrid_instance, dggs_type, resolution,\n",
    "                    stats=stats, numeric_col=numeric_col, address_type=address_type)\n",
    "df_bin.plot(column=f'{numeric_col}_{stats}', cmap='Spectral_r', legend=True, linewidth=0.2)"
   ]
  }
 ],
 "metadata": {
  "colab": {
   "provenance": [
    {
     "file_id": "https://github.com/opengeoshub/vgridpandas/blob/main/docs/notebooks/06_dggrid.ipynb",
     "timestamp": 1779605700628
    }
   ]
  },
  "kernelspec": {
   "display_name": ".venv (3.13.11)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "name": "python",
   "version": "3.13.11"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
