7_01_Scripting_Spatial_Processing_via_GeoPandas_2.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": [],
      "authorship_tag": "ABX9TyMXkFP2bhw1XEYP40YeQEgW",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/edwardoughton/UK_Fixed_Broadband_Availability/blob/master/7_01_Scripting_Spatial_Processing_via_GeoPandas_2.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Scripting spatial processing via GeoPandas\n",
        "\n",
        "Welcome back after Spring Break to GGS366 Spatial Computing.\n",
        "\n",
        "Today's work will cover the second week we focus on scripting in `Python`, using `GeoPandas` to undertake spatial computing tasks.\n",
        "\n",
        "Please do recap the syllabus to familiarize yourself of where we have come from, and where we intend to go in the remaining weeks. We will cover a summary now.  \n",
        "\n",
        "As a reminder, this week Assignment 4 will be set."
      ],
      "metadata": {
        "id": "nUHzDxYUSaM7"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "## GGS366 learning objectives\n",
        "\n",
        "The key learning objectives of this class include:\n",
        "\n",
        "1. Understanding the basics of computer programming (e.g., variables, functions, iteration etc.), as well as different design approaches (scripting versus object-oriented), with relevance to the spatial sciences.\n",
        "2. Developing critical thinking skills with regard to spatial computing uses, design approaches, and methodological choices.\n",
        "3. Mastering important programming applications (e.g., Google Colab) and key spatial computing packages (e.g., shapely, geopandas etc.)."
      ],
      "metadata": {
        "id": "PX-EyGXmTOkL"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Recapping GGS366\n",
        "\n",
        "We have covered a number of key spatial computing aspects, including:\n",
        "\n",
        "\n",
        "\n",
        "1.   A strong introduction to native programming in `Python`, including data\n",
        "types, variables, data structures (introductory and advanced), file operations (input, output) etc.\n",
        "2.   Coverage of advanced concepts, including looping, control statements, user-defined functions etc.\n",
        "3.   Experience working with some of the main computational science and spatial computing packages and libraries, from `Pandas` through to `Shapely` and `GeoPandas`.\n",
        "4.   A thorough understanding of how to access and utilize Google Colab notebooks as a code development platform.\n",
        "5.   Emphasis on how to adhere to best-practice programming, including PEP8, through to mitigating the risk of getting the wrong answer when coding.\n",
        "6.   Development of critical thinking skills, especially when working on assignments.\n",
        "\n",
        "Any other comments? What do you think? Feedback is very much welcome and encouraged!\n"
      ],
      "metadata": {
        "id": "O7j-daenTll0"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Set operations in `GeoPandas`\n",
        "\n",
        "Today we will introduce set operations in `GeoPandas`. This is the ability to manipulate larger numbers of geometries at once, using only a few lines of code. This is largely thanks to utilizing `GeoPandas` `GeoDataFrame` capabilities.\n",
        "\n",
        "\n",
        "\n"
      ],
      "metadata": {
        "id": "WeynOlthWq8w"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "## GeoPandas Series\n",
        "\n",
        "A `GeoPandas` `Series` is a one-dimensional labeled array that is part of the `GeoPandas` library, an extension of the popular `Pandas` library for working with geospatial data.\n",
        "\n",
        "The `GeoPandas` `Series` can hold various types of data, including geometry data types for handling spatial information (points, lines, polygons, etc.).\n",
        "\n",
        "We can typically create such as structure as follows, using the `.GeoSeries()` function."
      ],
      "metadata": {
        "id": "dYrxvZDhnuHE"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Example: Creating a GeoPandas Series with Point geometries\n",
        "import geopandas as gpd\n",
        "\n",
        "# Creating a GeoPandas Series\n",
        "points = gpd.GeoSeries([Point(0, 0), Point(1, 1), Point(2, 2)])"
      ],
      "metadata": {
        "id": "Mx9pJGo_ntvd"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "## GeoPandas GeoDataFrame\n",
        "\n",
        "You may recall from our previous classes that a `GeoPandas` `GeoDataFrame` is a two-dimensional data structure (e.g., a matrix). The `GeoDataFrame` extends the `Pandas` `DataFrame`, by including a `GeoPandas` `Series` as one of its columns, e.g., the geometry column.\n",
        "\n",
        "Spatial information for each row in the `GeoDataFrame` is stored in this geometry column. See the example below to remind yourself."
      ],
      "metadata": {
        "id": "kvOm8Y_GobaT"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Example: Creating a GeoPandas GeoDataFrame with Point geometries\n",
        "import geopandas as gpd\n",
        "from shapely.geometry import Point\n",
        "\n",
        "# Here we specify a dictionary structure, and then convert to GeoDataFrame\n",
        "# The dict key will be the column name\n",
        "# The list of values the row information\n",
        "data = {\n",
        "    'Name': ['Location A', 'Location B', 'Location C'],\n",
        "    'Type': ['Type D', 'Type F', 'Type X'],\n",
        "    'geometry': [Point(2, 3), Point(4, 5), Point(0, 9)]\n",
        "    }\n",
        "gdf = gpd.GeoDataFrame(data)\n",
        "\n",
        "# Inspect our GeoDataFrame\n",
        "gdf"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 143
        },
        "id": "aR3AHvyQob7d",
        "outputId": "9ad95bb3-c36c-45a9-b16d-26edfc6547f5"
      },
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "         Name    Type                 geometry\n",
              "0  Location A  Type D  POINT (2.00000 3.00000)\n",
              "1  Location B  Type F  POINT (4.00000 5.00000)\n",
              "2  Location C  Type X  POINT (0.00000 9.00000)"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-a659d3dc-ec30-4339-9399-3b6e4bb77dab\" 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>Name</th>\n",
              "      <th>Type</th>\n",
              "      <th>geometry</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Location A</td>\n",
              "      <td>Type D</td>\n",
              "      <td>POINT (2.00000 3.00000)</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Location B</td>\n",
              "      <td>Type F</td>\n",
              "      <td>POINT (4.00000 5.00000)</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Location C</td>\n",
              "      <td>Type X</td>\n",
              "      <td>POINT (0.00000 9.00000)</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-a659d3dc-ec30-4339-9399-3b6e4bb77dab')\"\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-a659d3dc-ec30-4339-9399-3b6e4bb77dab 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-a659d3dc-ec30-4339-9399-3b6e4bb77dab');\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=\"df-677233d5-40f9-48a0-8459-40ccba1c3821\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-677233d5-40f9-48a0-8459-40ccba1c3821')\"\n",
              "            title=\"Suggest charts\"\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",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-677233d5-40f9-48a0-8459-40ccba1c3821 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "  <div id=\"id_46be9b83-032c-476e-ad46-d9216f02ed4d\">\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('gdf')\"\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_46be9b83-032c-476e-ad46-d9216f02ed4d button.colab-df-generate');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      buttonEl.onclick = () => {\n",
              "        google.colab.notebook.generateWithVariable('gdf');\n",
              "      }\n",
              "      })();\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "gdf",
              "summary": "{\n  \"name\": \"gdf\",\n  \"rows\": 3,\n  \"fields\": [\n    {\n      \"column\": \"Name\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 3,\n        \"samples\": [\n          \"Location A\",\n          \"Location B\",\n          \"Location C\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Type\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 3,\n        \"samples\": [\n          \"Type D\",\n          \"Type F\",\n          \"Type X\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"geometry\",\n      \"properties\": {\n        \"dtype\": \"geometry\",\n        \"num_unique_values\": 3,\n        \"samples\": [\n          \"POINT (2 3)\",\n          \"POINT (4 5)\",\n          \"POINT (0 9)\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Loading in spatial datasets and utilizing set operations\n",
        "\n",
        "In this example, we will:\n",
        "\n",
        "\n",
        "\n",
        "1.   Load in two spatial datasets, one consisting of boundaries, and one consisting of buildings.\n",
        "2.   We will explore intersecting, as well as taking the symmetric difference, and difference.\n",
        "\n",
        "Let us begin by loading in our data.\n",
        "\n",
        "Make sure you download `kasunga.zip` from the MyMason GGS366 page. Unzip and inspect.\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n"
      ],
      "metadata": {
        "id": "djKIeGWpntdn"
      }
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 533
        },
        "id": "T1wccbQCSAK-",
        "outputId": "32e656da-071a-4ac2-d210-f890074d4efd"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "\n",
              "     <input type=\"file\" id=\"files-85503a56-703c-4041-8acb-5839c6753fd6\" name=\"files[]\" multiple disabled\n",
              "        style=\"border:none\" />\n",
              "     <output id=\"result-85503a56-703c-4041-8acb-5839c6753fd6\">\n",
              "      Upload widget is only available when the cell has been executed in the\n",
              "      current browser session. Please rerun this cell to enable.\n",
              "      </output>\n",
              "      <script>// Copyright 2017 Google LLC\n",
              "//\n",
              "// Licensed under the Apache License, Version 2.0 (the \"License\");\n",
              "// you may not use this file except in compliance with the License.\n",
              "// You may obtain a copy of the License at\n",
              "//\n",
              "//      http://www.apache.org/licenses/LICENSE-2.0\n",
              "//\n",
              "// Unless required by applicable law or agreed to in writing, software\n",
              "// distributed under the License is distributed on an \"AS IS\" BASIS,\n",
              "// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n",
              "// See the License for the specific language governing permissions and\n",
              "// limitations under the License.\n",
              "\n",
              "/**\n",
              " * @fileoverview Helpers for google.colab Python module.\n",
              " */\n",
              "(function(scope) {\n",
              "function span(text, styleAttributes = {}) {\n",
              "  const element = document.createElement('span');\n",
              "  element.textContent = text;\n",
              "  for (const key of Object.keys(styleAttributes)) {\n",
              "    element.style[key] = styleAttributes[key];\n",
              "  }\n",
              "  return element;\n",
              "}\n",
              "\n",
              "// Max number of bytes which will be uploaded at a time.\n",
              "const MAX_PAYLOAD_SIZE = 100 * 1024;\n",
              "\n",
              "function _uploadFiles(inputId, outputId) {\n",
              "  const steps = uploadFilesStep(inputId, outputId);\n",
              "  const outputElement = document.getElementById(outputId);\n",
              "  // Cache steps on the outputElement to make it available for the next call\n",
              "  // to uploadFilesContinue from Python.\n",
              "  outputElement.steps = steps;\n",
              "\n",
              "  return _uploadFilesContinue(outputId);\n",
              "}\n",
              "\n",
              "// This is roughly an async generator (not supported in the browser yet),\n",
              "// where there are multiple asynchronous steps and the Python side is going\n",
              "// to poll for completion of each step.\n",
              "// This uses a Promise to block the python side on completion of each step,\n",
              "// then passes the result of the previous step as the input to the next step.\n",
              "function _uploadFilesContinue(outputId) {\n",
              "  const outputElement = document.getElementById(outputId);\n",
              "  const steps = outputElement.steps;\n",
              "\n",
              "  const next = steps.next(outputElement.lastPromiseValue);\n",
              "  return Promise.resolve(next.value.promise).then((value) => {\n",
              "    // Cache the last promise value to make it available to the next\n",
              "    // step of the generator.\n",
              "    outputElement.lastPromiseValue = value;\n",
              "    return next.value.response;\n",
              "  });\n",
              "}\n",
              "\n",
              "/**\n",
              " * Generator function which is called between each async step of the upload\n",
              " * process.\n",
              " * @param {string} inputId Element ID of the input file picker element.\n",
              " * @param {string} outputId Element ID of the output display.\n",
              " * @return {!Iterable<!Object>} Iterable of next steps.\n",
              " */\n",
              "function* uploadFilesStep(inputId, outputId) {\n",
              "  const inputElement = document.getElementById(inputId);\n",
              "  inputElement.disabled = false;\n",
              "\n",
              "  const outputElement = document.getElementById(outputId);\n",
              "  outputElement.innerHTML = '';\n",
              "\n",
              "  const pickedPromise = new Promise((resolve) => {\n",
              "    inputElement.addEventListener('change', (e) => {\n",
              "      resolve(e.target.files);\n",
              "    });\n",
              "  });\n",
              "\n",
              "  const cancel = document.createElement('button');\n",
              "  inputElement.parentElement.appendChild(cancel);\n",
              "  cancel.textContent = 'Cancel upload';\n",
              "  const cancelPromise = new Promise((resolve) => {\n",
              "    cancel.onclick = () => {\n",
              "      resolve(null);\n",
              "    };\n",
              "  });\n",
              "\n",
              "  // Wait for the user to pick the files.\n",
              "  const files = yield {\n",
              "    promise: Promise.race([pickedPromise, cancelPromise]),\n",
              "    response: {\n",
              "      action: 'starting',\n",
              "    }\n",
              "  };\n",
              "\n",
              "  cancel.remove();\n",
              "\n",
              "  // Disable the input element since further picks are not allowed.\n",
              "  inputElement.disabled = true;\n",
              "\n",
              "  if (!files) {\n",
              "    return {\n",
              "      response: {\n",
              "        action: 'complete',\n",
              "      }\n",
              "    };\n",
              "  }\n",
              "\n",
              "  for (const file of files) {\n",
              "    const li = document.createElement('li');\n",
              "    li.append(span(file.name, {fontWeight: 'bold'}));\n",
              "    li.append(span(\n",
              "        `(${file.type || 'n/a'}) - ${file.size} bytes, ` +\n",
              "        `last modified: ${\n",
              "            file.lastModifiedDate ? file.lastModifiedDate.toLocaleDateString() :\n",
              "                                    'n/a'} - `));\n",
              "    const percent = span('0% done');\n",
              "    li.appendChild(percent);\n",
              "\n",
              "    outputElement.appendChild(li);\n",
              "\n",
              "    const fileDataPromise = new Promise((resolve) => {\n",
              "      const reader = new FileReader();\n",
              "      reader.onload = (e) => {\n",
              "        resolve(e.target.result);\n",
              "      };\n",
              "      reader.readAsArrayBuffer(file);\n",
              "    });\n",
              "    // Wait for the data to be ready.\n",
              "    let fileData = yield {\n",
              "      promise: fileDataPromise,\n",
              "      response: {\n",
              "        action: 'continue',\n",
              "      }\n",
              "    };\n",
              "\n",
              "    // Use a chunked sending to avoid message size limits. See b/62115660.\n",
              "    let position = 0;\n",
              "    do {\n",
              "      const length = Math.min(fileData.byteLength - position, MAX_PAYLOAD_SIZE);\n",
              "      const chunk = new Uint8Array(fileData, position, length);\n",
              "      position += length;\n",
              "\n",
              "      const base64 = btoa(String.fromCharCode.apply(null, chunk));\n",
              "      yield {\n",
              "        response: {\n",
              "          action: 'append',\n",
              "          file: file.name,\n",
              "          data: base64,\n",
              "        },\n",
              "      };\n",
              "\n",
              "      let percentDone = fileData.byteLength === 0 ?\n",
              "          100 :\n",
              "          Math.round((position / fileData.byteLength) * 100);\n",
              "      percent.textContent = `${percentDone}% done`;\n",
              "\n",
              "    } while (position < fileData.byteLength);\n",
              "  }\n",
              "\n",
              "  // All done.\n",
              "  yield {\n",
              "    response: {\n",
              "      action: 'complete',\n",
              "    }\n",
              "  };\n",
              "}\n",
              "\n",
              "scope.google = scope.google || {};\n",
              "scope.google.colab = scope.google.colab || {};\n",
              "scope.google.colab._files = {\n",
              "  _uploadFiles,\n",
              "  _uploadFilesContinue,\n",
              "};\n",
              "})(self);\n",
              "</script> "
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Saving kasunga_gadm3_regions.cpg to kasunga_gadm3_regions.cpg\n",
            "Saving kasunga_gadm3_regions.dbf to kasunga_gadm3_regions.dbf\n",
            "Saving kasunga_gadm3_regions.prj to kasunga_gadm3_regions.prj\n",
            "Saving kasunga_gadm3_regions.qmd to kasunga_gadm3_regions.qmd\n",
            "Saving kasunga_gadm3_regions.shp to kasunga_gadm3_regions.shp\n",
            "Saving kasunga_gadm3_regions.shx to kasunga_gadm3_regions.shx\n",
            "Saving kasungu_buildings.dbf to kasungu_buildings.dbf\n",
            "Saving kasungu_buildings.prj to kasungu_buildings.prj\n",
            "Saving kasungu_buildings.shp to kasungu_buildings.shp\n",
            "Saving kasungu_buildings.shx to kasungu_buildings.shx\n",
            "Saving kasungu_outline.dbf to kasungu_outline.dbf\n",
            "Saving kasungu_outline.prj to kasungu_outline.prj\n",
            "Saving kasungu_outline.shp to kasungu_outline.shp\n",
            "Saving kasungu_outline.shx to kasungu_outline.shx\n"
          ]
        }
      ],
      "source": [
        "# Example: Loading data from a local machine\n",
        "from google.colab import files\n",
        "uploaded = files.upload()"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "We can load in our boundary information for the Kasungu region of Malawi, utilizing the `.read_file()` function.\n",
        "\n",
        "Our boundaries consist of four GADM level 3 regions. Please inspect these in your associated GIS software to understand the geographic context.\n",
        "\n",
        "We take this data from GADM: https://gadm.org/"
      ],
      "metadata": {
        "id": "e-8r0Ccyr2Cc"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Example: Importing spatial data\n",
        "import geopandas as gpd\n",
        "\n",
        "# As we know the crs here, we will specify it on import\n",
        "boundaries = gpd.read_file('kasunga_gadm3_regions.shp', crs='epsg:4326')\n",
        "\n",
        "# Example: Viewing our geodataframe\n",
        "boundaries"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 472
        },
        "id": "Nc2uIkr8r3vV",
        "outputId": "0b92ccd0-b49d-432e-b50b-4997e723d259"
      },
      "execution_count": 47,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "  GID_0  NAME_0    GID_1   NAME_1 NL_NAME_1      GID_2        NAME_2  \\\n",
              "0   MWI  Malawi  MWI.9_1  Kasungu      None  MWI.9.1_1  Kasungu Boma   \n",
              "1   MWI  Malawi  MWI.9_1  Kasungu      None  MWI.9.1_1  Kasungu Boma   \n",
              "2   MWI  Malawi  MWI.9_1  Kasungu      None  MWI.9.1_1  Kasungu Boma   \n",
              "3   MWI  Malawi  MWI.9_1  Kasungu      None  MWI.9.1_1  Kasungu Boma   \n",
              "\n",
              "  NL_NAME_2        GID_3      NAME_3 VARNAME_3 NL_NAME_3   TYPE_3 ENGTYPE_3  \\\n",
              "0      None  MWI.9.1.2_1  n.a. (467)      None      None  Unknown   Unknown   \n",
              "1      None  MWI.9.1.4_1  n.a. (473)      None      None  Unknown   Unknown   \n",
              "2      None  MWI.9.1.6_1  n.a. (476)      None      None  Unknown   Unknown   \n",
              "3      None  MWI.9.1.7_1  n.a. (477)      None      None  Unknown   Unknown   \n",
              "\n",
              "   CC_3 HASC_3                                           geometry  \n",
              "0  None   None  POLYGON ((33.48986 -13.03852, 33.48930 -13.038...  \n",
              "1  None   None  POLYGON ((33.50063 -13.02587, 33.50069 -13.025...  \n",
              "2  None   None  POLYGON ((33.48590 -13.03370, 33.48648 -13.033...  \n",
              "3  None   None  POLYGON ((33.48986 -13.03852, 33.49029 -13.038...  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-ee0d76a7-5d90-4537-902c-1c5a8b5ae7d5\" 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>GID_0</th>\n",
              "      <th>NAME_0</th>\n",
              "      <th>GID_1</th>\n",
              "      <th>NAME_1</th>\n",
              "      <th>NL_NAME_1</th>\n",
              "      <th>GID_2</th>\n",
              "      <th>NAME_2</th>\n",
              "      <th>NL_NAME_2</th>\n",
              "      <th>GID_3</th>\n",
              "      <th>NAME_3</th>\n",
              "      <th>VARNAME_3</th>\n",
              "      <th>NL_NAME_3</th>\n",
              "      <th>TYPE_3</th>\n",
              "      <th>ENGTYPE_3</th>\n",
              "      <th>CC_3</th>\n",
              "      <th>HASC_3</th>\n",
              "      <th>geometry</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>MWI</td>\n",
              "      <td>Malawi</td>\n",
              "      <td>MWI.9_1</td>\n",
              "      <td>Kasungu</td>\n",
              "      <td>None</td>\n",
              "      <td>MWI.9.1_1</td>\n",
              "      <td>Kasungu Boma</td>\n",
              "      <td>None</td>\n",
              "      <td>MWI.9.1.2_1</td>\n",
              "      <td>n.a. (467)</td>\n",
              "      <td>None</td>\n",
              "      <td>None</td>\n",
              "      <td>Unknown</td>\n",
              "      <td>Unknown</td>\n",
              "      <td>None</td>\n",
              "      <td>None</td>\n",
              "      <td>POLYGON ((33.48986 -13.03852, 33.48930 -13.038...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>MWI</td>\n",
              "      <td>Malawi</td>\n",
              "      <td>MWI.9_1</td>\n",
              "      <td>Kasungu</td>\n",
              "      <td>None</td>\n",
              "      <td>MWI.9.1_1</td>\n",
              "      <td>Kasungu Boma</td>\n",
              "      <td>None</td>\n",
              "      <td>MWI.9.1.4_1</td>\n",
              "      <td>n.a. (473)</td>\n",
              "      <td>None</td>\n",
              "      <td>None</td>\n",
              "      <td>Unknown</td>\n",
              "      <td>Unknown</td>\n",
              "      <td>None</td>\n",
              "      <td>None</td>\n",
              "      <td>POLYGON ((33.50063 -13.02587, 33.50069 -13.025...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>MWI</td>\n",
              "      <td>Malawi</td>\n",
              "      <td>MWI.9_1</td>\n",
              "      <td>Kasungu</td>\n",
              "      <td>None</td>\n",
              "      <td>MWI.9.1_1</td>\n",
              "      <td>Kasungu Boma</td>\n",
              "      <td>None</td>\n",
              "      <td>MWI.9.1.6_1</td>\n",
              "      <td>n.a. (476)</td>\n",
              "      <td>None</td>\n",
              "      <td>None</td>\n",
              "      <td>Unknown</td>\n",
              "      <td>Unknown</td>\n",
              "      <td>None</td>\n",
              "      <td>None</td>\n",
              "      <td>POLYGON ((33.48590 -13.03370, 33.48648 -13.033...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>MWI</td>\n",
              "      <td>Malawi</td>\n",
              "      <td>MWI.9_1</td>\n",
              "      <td>Kasungu</td>\n",
              "      <td>None</td>\n",
              "      <td>MWI.9.1_1</td>\n",
              "      <td>Kasungu Boma</td>\n",
              "      <td>None</td>\n",
              "      <td>MWI.9.1.7_1</td>\n",
              "      <td>n.a. (477)</td>\n",
              "      <td>None</td>\n",
              "      <td>None</td>\n",
              "      <td>Unknown</td>\n",
              "      <td>Unknown</td>\n",
              "      <td>None</td>\n",
              "      <td>None</td>\n",
              "      <td>POLYGON ((33.48986 -13.03852, 33.49029 -13.038...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-ee0d76a7-5d90-4537-902c-1c5a8b5ae7d5')\"\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-ee0d76a7-5d90-4537-902c-1c5a8b5ae7d5 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-ee0d76a7-5d90-4537-902c-1c5a8b5ae7d5');\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=\"df-1758877e-1169-4a8c-92e4-29d3c69f0941\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-1758877e-1169-4a8c-92e4-29d3c69f0941')\"\n",
              "            title=\"Suggest charts\"\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",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-1758877e-1169-4a8c-92e4-29d3c69f0941 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "  <div id=\"id_21356101-4f58-4f88-a778-dced99486c4b\">\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('boundaries')\"\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_21356101-4f58-4f88-a778-dced99486c4b button.colab-df-generate');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      buttonEl.onclick = () => {\n",
              "        google.colab.notebook.generateWithVariable('boundaries');\n",
              "      }\n",
              "      })();\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "boundaries",
              "repr_error": "Out of range float values are not JSON compliant: nan"
            }
          },
          "metadata": {},
          "execution_count": 47
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "We can utilize the `.plot()` function to visualize these geometries.\n",
        "\n",
        "The sample below shows this graphically."
      ],
      "metadata": {
        "id": "y4KlD0yNvw6a"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Example: Plotting our boundary geometries\n",
        "boundaries.plot(alpha=0.5, edgecolor='k')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 448
        },
        "id": "LqzDvOnsvxPA",
        "outputId": "e39d6675-c732-4d5d-8993-35f9123e6a27"
      },
      "execution_count": 48,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<Axes: >"
            ]
          },
          "metadata": {},
          "execution_count": 48
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "This boundary data suggests we have 4 regions within Kasungu Boma.\n",
        "\n",
        "We can access the geographic identifier string IDs as follows."
      ],
      "metadata": {
        "id": "w-zKh1FvuxxB"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Example: Printing the GID_3 column\n",
        "print(boundaries['GID_3'])"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "zgXgWjXQu3gK",
        "outputId": "9e9c90d4-39cc-4ab3-a66b-55704d603e74"
      },
      "execution_count": 49,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "0    MWI.9.1.2_1\n",
            "1    MWI.9.1.4_1\n",
            "2    MWI.9.1.6_1\n",
            "3    MWI.9.1.7_1\n",
            "Name: GID_3, dtype: object\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Next, we can load some sample building footprint data to explore.\n",
        "\n",
        "We take this data from OpenStreetMap, downloaded via the GeoFabrik download server: https://download.geofabrik.de/"
      ],
      "metadata": {
        "id": "OlmX3KYCr4K2"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Example: Importing spatial data\n",
        "import geopandas as gpd\n",
        "\n",
        "# As we know the crs here, we will specify it on import\n",
        "buildings = gpd.read_file('kasungu_buildings.shp', crs='epsg:4326')\n",
        "\n",
        "# Example: Viewing our geodataframe\n",
        "buildings.head(3)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 401
        },
        "id": "G6rGLN88r4nG",
        "outputId": "58890505-faf7-4877-f335-2c535e8c70d0"
      },
      "execution_count": 50,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "      osm_id  code    fclass  name  type GID_0  NAME_0    GID_1   NAME_1  \\\n",
              "0  452791523  1500  building  None  None   MWI  Malawi  MWI.9_1  Kasungu   \n",
              "1  452791524  1500  building  None  None   MWI  Malawi  MWI.9_1  Kasungu   \n",
              "2  452791525  1500  building  None  None   MWI  Malawi  MWI.9_1  Kasungu   \n",
              "\n",
              "  NL_NAME_1  ... NL_NAME_2        GID_3      NAME_3 VARNAME_3 NL_NAME_3  \\\n",
              "0      None  ...      None  MWI.9.1.2_1  n.a. (467)      None      None   \n",
              "1      None  ...      None  MWI.9.1.2_1  n.a. (467)      None      None   \n",
              "2      None  ...      None  MWI.9.1.2_1  n.a. (467)      None      None   \n",
              "\n",
              "    TYPE_3 ENGTYPE_3  CC_3 HASC_3  \\\n",
              "0  Unknown   Unknown  None   None   \n",
              "1  Unknown   Unknown  None   None   \n",
              "2  Unknown   Unknown  None   None   \n",
              "\n",
              "                                            geometry  \n",
              "0  POLYGON ((33.49364 -13.03481, 33.49372 -13.034...  \n",
              "1  POLYGON ((33.49395 -13.03482, 33.49416 -13.034...  \n",
              "2  POLYGON ((33.49414 -13.03450, 33.49414 -13.034...  \n",
              "\n",
              "[3 rows x 22 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-c1a97281-cd86-4866-8b90-1936a0b1beb9\" 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>osm_id</th>\n",
              "      <th>code</th>\n",
              "      <th>fclass</th>\n",
              "      <th>name</th>\n",
              "      <th>type</th>\n",
              "      <th>GID_0</th>\n",
              "      <th>NAME_0</th>\n",
              "      <th>GID_1</th>\n",
              "      <th>NAME_1</th>\n",
              "      <th>NL_NAME_1</th>\n",
              "      <th>...</th>\n",
              "      <th>NL_NAME_2</th>\n",
              "      <th>GID_3</th>\n",
              "      <th>NAME_3</th>\n",
              "      <th>VARNAME_3</th>\n",
              "      <th>NL_NAME_3</th>\n",
              "      <th>TYPE_3</th>\n",
              "      <th>ENGTYPE_3</th>\n",
              "      <th>CC_3</th>\n",
              "      <th>HASC_3</th>\n",
              "      <th>geometry</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>452791523</td>\n",
              "      <td>1500</td>\n",
              "      <td>building</td>\n",
              "      <td>None</td>\n",
              "      <td>None</td>\n",
              "      <td>MWI</td>\n",
              "      <td>Malawi</td>\n",
              "      <td>MWI.9_1</td>\n",
              "      <td>Kasungu</td>\n",
              "      <td>None</td>\n",
              "      <td>...</td>\n",
              "      <td>None</td>\n",
              "      <td>MWI.9.1.2_1</td>\n",
              "      <td>n.a. (467)</td>\n",
              "      <td>None</td>\n",
              "      <td>None</td>\n",
              "      <td>Unknown</td>\n",
              "      <td>Unknown</td>\n",
              "      <td>None</td>\n",
              "      <td>None</td>\n",
              "      <td>POLYGON ((33.49364 -13.03481, 33.49372 -13.034...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>452791524</td>\n",
              "      <td>1500</td>\n",
              "      <td>building</td>\n",
              "      <td>None</td>\n",
              "      <td>None</td>\n",
              "      <td>MWI</td>\n",
              "      <td>Malawi</td>\n",
              "      <td>MWI.9_1</td>\n",
              "      <td>Kasungu</td>\n",
              "      <td>None</td>\n",
              "      <td>...</td>\n",
              "      <td>None</td>\n",
              "      <td>MWI.9.1.2_1</td>\n",
              "      <td>n.a. (467)</td>\n",
              "      <td>None</td>\n",
              "      <td>None</td>\n",
              "      <td>Unknown</td>\n",
              "      <td>Unknown</td>\n",
              "      <td>None</td>\n",
              "      <td>None</td>\n",
              "      <td>POLYGON ((33.49395 -13.03482, 33.49416 -13.034...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>452791525</td>\n",
              "      <td>1500</td>\n",
              "      <td>building</td>\n",
              "      <td>None</td>\n",
              "      <td>None</td>\n",
              "      <td>MWI</td>\n",
              "      <td>Malawi</td>\n",
              "      <td>MWI.9_1</td>\n",
              "      <td>Kasungu</td>\n",
              "      <td>None</td>\n",
              "      <td>...</td>\n",
              "      <td>None</td>\n",
              "      <td>MWI.9.1.2_1</td>\n",
              "      <td>n.a. (467)</td>\n",
              "      <td>None</td>\n",
              "      <td>None</td>\n",
              "      <td>Unknown</td>\n",
              "      <td>Unknown</td>\n",
              "      <td>None</td>\n",
              "      <td>None</td>\n",
              "      <td>POLYGON ((33.49414 -13.03450, 33.49414 -13.034...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>3 rows × 22 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-c1a97281-cd86-4866-8b90-1936a0b1beb9')\"\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-c1a97281-cd86-4866-8b90-1936a0b1beb9 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-c1a97281-cd86-4866-8b90-1936a0b1beb9');\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=\"df-7348285a-f8a5-410a-968c-438136f747cc\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-7348285a-f8a5-410a-968c-438136f747cc')\"\n",
              "            title=\"Suggest charts\"\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",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-7348285a-f8a5-410a-968c-438136f747cc button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "buildings"
            }
          },
          "metadata": {},
          "execution_count": 50
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Next, we can plot our building geometries.\n",
        "\n",
        "We have over 7,000 bounding outlines for Kasungu, Malawi."
      ],
      "metadata": {
        "id": "IvTbw4tMwJpv"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Example: Plotting building geometries\n",
        "print(len(buildings))\n",
        "buildings.plot(edgecolor='k')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 466
        },
        "id": "X3OoDRdDwKVO",
        "outputId": "623c509e-249f-4482-beef-8440938d0616"
      },
      "execution_count": 36,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "7099\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<Axes: >"
            ]
          },
          "metadata": {},
          "execution_count": 36
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Intersecting\n",
        "\n",
        "In this example, we will intersect data with various spatial boundaries to subset the building footprints for different regions.\n",
        "\n",
        "When intersecting, `GeoPandas` returns only those geometries that are contained by both GeoDataFrames.\n",
        "\n",
        "First, we want to create a `GeoDataFrame` with only the boundaries we want to use for our intersection.\n",
        "\n",
        "We can begn with \"MWI.9.1.6_1\"."
      ],
      "metadata": {
        "id": "Rs1qsm3RuVDo"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Example: Obtaining a single region boundary\n",
        "boundary = boundaries[boundaries['GID_3'] == \"MWI.9.1.6_1\"]\n",
        "boundaries.plot(alpha=0.5, edgecolor='k') #original df\n",
        "boundary.plot(alpha=0.5, edgecolor='k') #new df"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 861
        },
        "id": "oH4jRYN5uVZv",
        "outputId": "b1fc0420-88de-47a0-bc72-1c62a65a22bc"
      },
      "execution_count": 37,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<Axes: >"
            ]
          },
          "metadata": {},
          "execution_count": 37
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAAWcAAAGdCAYAAADOsbLyAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAABvXklEQVR4nO3deVxU970//tec2YfZYWDYBBEFXFDEDZSocY2amMSmibGxmtS0aby3SWx+1/TbJN/mNrW5Sb/2JvemJmYxaTRbY9QaY8R9VxBxQQRxAZGdYRiGYdbz+f1BpCEsgjKcAd7Px2MeCXO29xnhxeFzPufzETHGGAghhAQUTugCCCGEtEXhTAghAYjCmRBCAhCFMyGEBCAKZ0IICUAUzoQQEoAonAkhJABROBNCSACSCF1AX8bzPMrKyqDRaCASiYQuhxDSBzDG0NDQgIiICHBcx9fHFM53oKysDNHR0UKXQQjpg65fv46oqKgOl1M43wGNRgOg+UPWarUCV0MI6QtsNhuio6Nb8qMjFM534GZThlarpXAmhHTLrZpC6YYgIYQEIApnQggJQBTOhBASgCicCSEkAFE4E0JIAKJwJoSQAEThTAghAYjCmRBCAhCFMyGEBCAKZ0IICUAUzoQQEoAonAkhJADRwEeEkC5xuVyw2+2QSCTQ6XRCl9PvUTgTMsDxPI+amhrY7XY0NDS0/LehoQF19TbU1tXDWt+ARqcTbi+PUF0Q/vP/vkgTTPgZhTMhA5jb7cYnGzfh+Jl8uLw8PD4eEEshkirByRQQy1VQKPWQhURAqQqCr64W9dUF8Hq9kEqlQpffr1E4EzJAuVwufPT3T7AvpxCDxk6F1miCXKmCWNJx6FaKL8NWdZHCuRdQOBMyADmdTnz40cc4cOYyhk2eB0NoeJe248QS8Dzg8XigVCr9XOXARuFMyADT2NiIDR//HYfPFyPxrgXQBYd1eVuxWAyeMXg8Hj9WSAAKZ0IGlNLSUmz4ZBPOl9Yh6a4F0BpN3dqek0gpnHsJhTMhAwBjDNnZ2dj41VZU+4IweuZDUASpu70fiUQKH8/gcrn8UCX5IQpnQvo5j8eDbdv+iW/2H4fEPBRjU6eAE4tva19yVRA8Pga73d7DVZIfo3AmpB+zWCz4ZNOnOHahGFGjpyAiLvGO9ieRyuADh4aGhh6qkHSEwpmQfsTj8aCkpARXrlxBwaUiFFy9jhq3BEnT7ofGEHLH+xeJRBDLlRTOvYDCmZA+jOd5lJWV4cqVKyi8VIQLRVdhsTvhggxygxnBcRMwdlA8JDJZzx1USuHcGyicCRFIdXU1HA4HwsPDIetmeNbV1eH06dM4fDwLxRW1cPhEkOrMMIYnI84cBbXe6LfHqyVyFWrrrH7ZN/kXCmdCBMAYw7sfbMDl0mpolBLERkUgfnAMIiMjERkZCZPJBI5rPWikz+dDQUEBTmRlIfvcRViaeKjDhyBy4iToQsLarO8vQXojrpRcBWOMxtfwIwpnQgRQUlKCKzeqYRwxGbzPh/O1lcjelwvWdABBcjGMahWGxEZhcMwghIeHo6KiAoeOn8S1ijr4lEaY4ydh7KAhkEh7sLmii/QhZlRfP4fa2lqEhNx5OzZpH4UzIQI4e/YsHJBhRFwiRCIRojESAOD1uGGrrUJ9bSWOFFdi/7mD4DxN8HFSaMLjMOSu6dAYggWtXRcShmsuL27cuEHh7EcUzoT0Mp/Ph5Onz0IXMaRNs4BEKoPRHAWjOarlPVeTAxKZDGJxYPy4SmVyQKFFaWkpRo8eLXQ5/RbNhEJIL7ty5QquV1sRPnhYl9aXK1UBE8w3ybQhuFpcInQZ/Vpg/YsT0o8wxmCz2VBZWYnKykpUVFSguLQc18sr4ZFoeqTfsVD0pjAUFefC6/VCIqEY8Qf6VAnpQT6fD1evXsXZs2dx6twF1FrtcLi98Iok4FR6KHXB0MSkYmRUbJ/u6aAPMaOk0I3y8nJER0cLXU6/ROFMyB3ieR4lJSU4d+4cTp4+i9JqK1ziIOgj42AYFIZBhhAoVOo+HcY/ptYHw+FhKC0tpXD2EwpnQm4DYwxlZWXNgZxzpvlBEJEc+oghiJ0yDRpDSL8K4x/jxGKINUaUlFxHWlqa0OX0SxTOhHRDTU3N94Gci6KSCth5CTTmWEROnAS9ydyvA/nH1IYwXLpGNwX9hcKZkFtgjOH06dM4cuw48opKUO9mUIXGIDx1NhLDInvtybxAozOZUXahEA0NDdBoNEKX0+9QOBPSCbfbjS1btmLHoZNgukiEj5yK+MiYgOvaJgR9iBll3z+Mkph4Z0ORkrboO4yQDtTU1ODjjZuQVXgDg1KmwxwTL3RJAUURpIaPk6GiooLC2Q8onAlpR35+Pj7+9Etcs/EYPu0BqPVGoUsKSGKVDhUVlUKX0S9ROJMBqbCwEF9v+wYadRCMei00Gk3Lq7KyEl9/tw8udQTGzprRs2Mh9zNKrRElN8qELqNf8tudjFdffRXp6elQqVTQ6/VtltfW1mLu3LmIiIiAXC5HdHQ0Vq5cCZvN1ul+LRYLlixZAq1WC71ejyeeeKLVfGZOpxPLli3DqFGjIJFIcP/997fZx/79+yESidq8Kioq7vS0SR+Rm3sG2ddqkV3hxTdnSvHp3hys+3In/uudT7Bhy27IY1KQnDGXgvkWNIYQ3Kisodm4/cBvV85utxsPPfQQ0tLS8P7777dZznEcFi5ciD/+8Y8wmUwoKirC008/DYvFgk2bNnW43yVLlqC8vByZmZnweDxYvnw5nnzyyZZtfD4flEol/v3f/x1fffVVpzUWFBRAq9W2fB0aGnqbZ0v6EsYYzhdcQsigoRiW0rqPLu/zgff5KJS7SK0Pxg2XBzU1NQgPDxe6nH7Fb+H8hz/8AQCwYcOGdpcbDAY89dRTLV/HxMTg17/+NV5//fUO95mfn4+dO3ciKysL48aNAwC89dZbmDdvHt544w1EREQgKCgIf/vb3wAAR44cgdVq7XB/oaGh7V7Vk/6tqqoKFbX1CB07sc0yTiy+7ZmpByK1zgiH24eqqioK5x4WMB00y8rKsHnzZkydOrXDdY4dOwa9Xt8SzAAwc+ZMcByHEydOdPuYY8aMQXh4OGbNmoUjR47ccn2XywWbzdbqRfqeK1euwO7moQ+lMLlTEpkMkKlQW1srdCn9juDhvHjxYqhUKkRGRkKr1eK9997rcN2Kioo2TQ8SiQRGo7Fb7cXh4eFYt24dvvrqK3z11VeIjo7GtGnTkJOT0+l2a9asgU6na3nRmAJ9j9PpxNETJyHVhVFf5R7CyRSt7vuQntGtcF69enW7N9J++Lp48WK3Cli7di1ycnKwdetWXL58Gc8991y3tr8dCQkJ+OUvf4nU1FSkp6fjgw8+QHp6OtauXdvpdi+88ALq6+tbXtevX/d7raTn+Hw+bNz0KbIulSM+dYrQ5fQbnFQJm41m4+5p3bp0WLVqFZYtW9bpOnFxcd0qwGw2w2w2IzExEUajERkZGXjxxRfbbb8ym82oqqpq9Z7X64XFYoHZbO7WcX9swoQJOHz4cKfryOVyyOXyOzoOuTMulwsbN32KkGAjkpOTERMT06XxLBhj2LJlK/ZkX8DQ9HlQ66jfck+RKpSoq6cmvp7WrXA2mUwwmUz+qgU8zwNo/gFsT1paGqxWK06dOoXU1FQAwN69e8HzPCZObHtzpztyc3PphkYfkJmZiczsfEAiw9bdhzE4IgQTU1OQlJSEiIiIDse52L9/P7btO4rIMVNhDIvs5ar7N7lChTobdUPtaX5rdCspKYHFYkFJSQl8Ph9yc3MBAPHx8VCr1dixYwcqKysxfvx4qNVq5OXl4fnnn8fkyZMRGxsLADh58iSWLl2KPXv2IDIyEklJSZg7dy5WrFiBdevWwePxYOXKlXjkkUcQERHRcuwLFy7A7XbDYrGgoaGh5dhjxowBAPz1r3/F4MGDMWLECDidTrz33nvYu3cvdu3a5a+Pg/SA4uJifLP3MMISxmFQYjKs1eUovlqIvK17EbQ9E2FGLZITh2Ho0HgMGTIEOp0OQPMv3k+37oQ2biwiBicIfBb9j0wZBGuZHYyxATUqn7/5LZxfeuklfPTRRy1fp6SkAAD27duHadOmQalUYv369Xj22WfhcrkQHR2NBx98EKtXr27ZxuFwoKCgoFUH940bN2LlypWYMWMGOI7DokWL8Oabb7Y69rx581BcXNzm2IwxAM19sFetWoUbN25ApVIhOTkZu3fvxvTp03v+gyA9wuv14ouvvoZNrMPYhFEQiUQwhEbAEBoBnr8L9TWVqCkrxrbsIuDASWgVEsQPisDQuFjsPXISvDEWg0emCn0a/ZJcqUKD24OmpiaoVCqhy+k3ROxmYpFus9ls0Ol0qK+vb/UwC+l5u3fvxgebv0PS9EW3HOfC7XLCUn4dNeUlaKopg1RtQPJd91D/ZT+pqypD+clv8er/WUUPcnVBV3OD+hKRgFdRUYFtu/bBMGR0lwYgkskVMMcOhTl2aC9UR+TKILh9POx2O4VzDxK8nzMhneF5Hv/YvAXVHhniRlCzRCCSK1Xw+Hg0NFB3up5E4UwC2rlz55B14TKGjptGzRIBSiyRgnESehClh1E4k4Dl9Xqx47vdgD4SBnrUOqCJFUGor68Xuox+hcKZBKycnBxcKC5H/OhJQpdCbkEkC0JdnVXoMvoVCmcSsKxWK3wQweejsYIDnVylRpWlTugy+hUKZxKwpk+fjimj4nHxyHfwuNt/apQEBqVag6oai9Bl9CsUziRgSaVSPPrIw4g1SFF4qvNxT4iwlEFa2OwONDU1CV1Kv0HhTAKaXq/HQwsXwFt1BdU3im+9ARGEWh8Mh9vbZmAycvsonEnAGzt2LKaOH4mrp/ZT80aACtLq4fKBwrkHUTiTgCcSifDg/fcj1iBHQfYhocsh7eDEYogUzTOXk55B4Uz6BJ1Oh7kzpqKx/DJ4n0/ockg7pGoDSsvKhS6j36BwJn2GxWKBOEhPTwoGKH2IGQVXSlqNIkluH4Uz6RMYYzh/8RI0ITRQfqAymiNhbXTS9G09hMKZ9Am1tbUoraqFMTxK6FJIB9T6YDiZFNeuXRO6lH6Bwpn0CVevXkWDi4chNOLWKxNBiEQiyAyhKCy6LHQp/QKFMxFcUVERampqbrHOZXDqYEiksl6qitwOY1gULl4uhtvtFrqUPo/CmQjK4XDgb+99hNfW/g/OnDnT4XrnLl6CLpTamwOdMSwK1kYXSkpKhC6lz6NwJoK6cOECKmxNqBYb8dYHG7Fly9Z27/brNGq4HI0CVEi6I0hngEsko3bnHkDhTAR1+sxZcNowjM6YC11iOr7YdQT/+7d1OHjwIAoLC1FfXw/GGFLHjEJjVTF4nhe6ZNIJkUgEucGMgkvU7nynaA5BIhibzYYz+UUIi58IAIiKHw5dcBhyTh/GycIdkDAvguQSGLVqhOg1UEt4WCpKERIxSODKSWeCzVEouJIFp9MJhUIhdDl9FoUzEcz58+dhafJgTHRcy3saQzBS7l4IxhicDjsaLNWor6tFaW0NPFwQOI7+2At0hrBIXLpwBMXFxUhISBC6nD6LwpkI5tTpXMiMUZDK5G2WiUQiKIM0UAZpEPqD8CaBT6XRwcMpKJzvEF2GEMFcvV4GvYn6Lfc3IpEIMp0J10roScE7QeFMBCOVSMEY3eDrj3QhZly6eh0+GqTqtlE4E8FIpRIaYa6f0oWEoc7uoPGd7wCFMxGMTCaFz0sjmPVHWqMJDjeP0tJSoUvpsyiciWBkUildOfdTYokUoiADjVB3ByiciSAYY81Xzj6v0KUQPwkyhKLw8jWhy+izqCsd8Tu3241vv/0WFVXVqG+ww9bQiIZGB5weLxASL3R5xE/0pnCUFFxGY2MjgoKChC6nz6FwJn7FGMO2bf/EV3tPQGGKgUyhgUwTCmmIAgaFkoYA7cf0oeGoOOPF9evXkZiYKHQ5fQ6FM/GrnJwc7Dh4AlFjMhAxmB5IGEiUQRp4xQoK59tEbc7Eb8rKyvDJl1sgDo2nYB6gZDoTrlwrFrqMPonCmfhFU1MTPt74GSo9ciSMmyJ0OUQgOlM4Cq+U0MMot4HCmfQ4xhi+2rwZZ65VY+SUuRCLqfVsoNKbwmFtdKKiokLoUvocCmfS444ePYpdR08jdtw0KNVaocshAtIaQuDwMOrvfBsonEmPunDhAj7d8g2CYkYhNGqw0OUQgXFiMcSaYBQX07RV3UXhTHrM2bNn8fYHn6BRFY740ROFLocECE2wGflFl8EYE7qUPsWv4fzqq68iPT0dKpUKer2+zfLa2lrMnTsXERERkMvliI6OxsqVK2Gz2Trdr8ViwZIlS6DVaqHX6/HEE0/Abre3LN+/fz8WLlyI8PBwBAUFYcyYMdi4cWOb/Xz55ZdITEyEQqHAqFGjsGPHjjs+54EqJycH73z0KZq0URiZPosGxSctgsOjUVZtpUGQusmvP0FutxsPPfQQnnrqqfYPznFYuHAhtm3bhsLCQmzYsAG7d+/Gr371q073u2TJEuTl5SEzMxPbt2/HwYMH8eSTT7YsP3r0KJKTk/HVV1/h7NmzWL58OZYuXYrt27e3Wmfx4sV44okncPr0adx///24//77cf78+Z45+QHk5MmTePfvX8BtGIwRk2ZQMJNW9KHhaHAzFBUVCV1KnyJivfC3xoYNG/DMM8/AarXect0333wTr7/+eoc3EPLz8zF8+HBkZWVh3LhxAICdO3di3rx5KC0tRURE+0+czZ8/H2FhYfjggw8AAA8//DAaGxtbBfakSZMwZswYrFu3rkvnZbPZoNPpUF9fD612YN74Onr0KDZ8sRWisGFISJ0CkUgkdEkkAJ3etx1T4w144vHlQpciuK7mRkBd4pSVlWHz5s2YOnVqh+scO3YMer2+JZgBYObMmeA4DidOnOhwu/r6ehiNxlb7mTlzZqt15syZg2PHjnW4D5fLBZvN1uo1UHm9XmzZshXvfbYF4ojhFMykU8bwQThfeAUul0voUvqMgAjnxYsXQ6VSITIyElqtFu+9916H61ZUVCA0NLTVexKJBEajscO+lF988QWysrKwfPm/fmtXVFQgLCys1XphYWGd9sdcs2YNdDpdyys6Ororp9fvWK1WvLP+PXyReRiGpHQMS0mjYCadCo2KRY2tCYWFhUKX0md0O5xXr14NkUjU6evixYvd2ufatWuRk5ODrVu34vLly3juuee6W1aH9u3bh+XLl2P9+vUYMWLEHe3rhRdeQH19fctrIPbdvHz5Mv7fm/+LQ/k3kJCxEFHxw4UuifQBSrUWfJAR587RPZ2u6vajW6tWrcKyZcs6XScurnuzJZvNZpjNZiQmJsJoNCIjIwMvvvgiwsPD2133x3d9vV4vLBYLzGZzq/cPHDiAe++9F2vXrsXSpUvb7KeysrLVe5WVlW328UNyuRxyeduZogeKrKwsbPhsMxpkwUiZtQAyhVLokkgfEhI1BNnnzmORyzWgf466qtvhbDKZYDKZ/FELAIDnmyf87KhtKi0tDVarFadOnUJqaioAYO/eveB5HhMn/qtv7f79+7FgwQK89tprrXpy/HA/e/bswTPPPNPyXmZmJtLS0nrwbPoPp9OJf2zdAaduEEZPnE49Mki3hcXE40JBFgoKCpCcnCx0OQHPr4MelJSUwGKxoKSkeeCT3NxcAEB8fDzUajV27NiByspKjB8/Hmq1Gnl5eXj++ecxefJkxMbGAmjuprV06VLs2bMHkZGRSEpKwty5c7FixQqsW7cOHo8HK1euxCOPPNLSU2Pfvn1YsGABfvOb32DRokUt7cgymazlpuBvfvMbTJ06FX/5y18wf/58fPbZZ8jOzsa7777rz4+kz8rNzcV1ix2j5txLwUxuizJIAxYUjDNnz1I4d4Fff8peeuklpKSk4OWXX4bdbkdKSgpSUlKQnZ0NAFAqlVi/fj2mTJmCpKQkPPvss7jvvvtadW9zOBwoKCiAx/OviUA3btyIxMREzJgxA/PmzcOUKVNahepHH30Eh8OBNWvWIDw8vOX14IMPtqyTnp6OTZs24d1338Xo0aPxj3/8A1u2bMHIkSP9+ZH0SYwxHDhyDHLTIChUaqHLIX2YadBQZJ3NH9A9nbqqV/o591cDpZ9zYWEh1ry1HoPS7oXe1HGbPCG34nW7kbPj7/jFg7MxY8YMocsRRJ/s50wCz4ULF/DJZ1/CozBAFxJ26w0I6YREJoMmcij2Hzne6q9h0haFM2mX0+nEV19txtp3PkKJOwgjM+ZRX2bSIwYlJONapRXnzp0TupSARqOgkzauXbuGTZ9/iXMlNYgclY6IuEQKZtJjgrR6cPoIHDxyFCkpKfS91QG6ciatVFVV4b//9h7yLTxGzXwIkUOS6IeH9LjohGScvVSCS5cuCV1KwKJwJq2cOHEC5Q4eY6bfR7OYEL8xmqPgVhiwa/deGue5AxTOpIXT6cSh46cQHJMETiwWuhzSj4lEIsSOnICci1dovI0OUDiTFrm5uSita0TU0Dsbg4SQrmi+ejZi1+49dPXcDgpnAoAeNCG9TyQSYfCoCci5eBUFBQVClxNwKJwJAKCoqAgF18oRPYweqyW9x2iOglcVQlfP7aBwJgCaw9kpVtITgKTXxY6agNMF17o91HB/R+FMAAANDQ3g5CrqNkd6nTEsEt4gE3Zm7qar5x+gcCYAgPoGOyRyldBlkAFq8KiJOFNYggsXLghdSsCgcCYAgDqrjQbPJ4IxhIaD14Thu917WsZ0H+gonAkAwNpgh1xJV85EOIOTJ+LMpevIz88XupSAQOFM4PP5YG9shExB4UyEow8JA682Yd+BQ9T2DApnAqCxsRFuL6MrZyK46MQU5BZcQXFxsdClCI7CmaCxsREeH09tzkRwIRGD4BCrcfDQIaFLERyFM4HNZoPHx0OuCBK6FDLAiUQiRAwbg2On81BVVSV0OYKicB7AGGM4d+4cPv70C7jFSrpyJgEhPHYorB4xjhw5InQpgqJwHqAcDge++OJL/HX931HODEiZ/RCNREcCAicWwzRkJA6cyEFDQ4PQ5QiGwnkAunTpEt7461v4+mAOgkfehVFTZkMmVwhdFiEtooaORGWDGydPnhS6FMHQNFUDBGMMV65cwaEjR3A0Jw9OpQmjZ/+URqAjAUkqk0MbNQz7Dh9DRkYGZDKZ0CX1Ogrnfs7j8eDcuXM4cPgIzhVdh1OiQeTwKUiMHUbjaJCAFpM4GhcyLyI3NxcTJkwQupxeR+HcT9ntdmRlZWHfoaO4WlkHTh+JQePnwhAWSaFM+gSlWgupaRD27D+I1NRUiAfYPREK537I4XDgz39Zi8tVdqgj4pFw9ywEafVCl0VItw0ekYoLBzbj7NmzSElJEbqcXkXh3A/l5ubiSqUNyXMWU5sy6dM0hhCIDZHI3Lsfo0ePBscNnD4MA+dMBwjGGI4cP0nTTZF+I3bkOORdvYHz588LXUqvonDuZ65du4aL18oQFU+TtJL+QRccBmgjsHvf/gE1IBKFcz+TlZUNB6eCISxS6FII6TGxI8fhzKXrOHfunNCl9BoK534m/9Jl6CMGU48M0q/oTWaI9BH4ZmcmvF6v0OX0CgrnfkYilQpdAiF+MWRMGvKKK5CVlSV0Kb2CwrmfUchk8Hk9QpdBSI9T64xQhA3BN7v2wOl0Cl2O31E49zNymRT8APmzjww8Q0ZPwOVKGw4ePCh0KX5H4dzPyOUy+HwUzqR/UqjUMA5Jxrd7D6Gurk7ocvyKwrkf4XkepeUVkNNcgKQfi00ag3I7j127MoUuxa8onPuRK1euoKSyDubBQ4UuhRC/kUhliBo5AXuPn8L169eFLsdvKJz7kdzcM3CJg6A1hgpdCiF+FRGXCDunwfYd3/bbB1MonPsJt9uNrNzzMETHUx9n0u+JRCIMHp2GE+cv4ezZs0KX4xd+DedXX30V6enpUKlU0Ov1bZbX1tZi7ty5iIiIgFwuR3R0NFauXAmbzdbpfi0WC5YsWQKtVgu9Xo8nnngCdru9Zfn+/fuxcOFChIeHIygoCGPGjMHGjRtb7WPDhg0QiUStXgpF350NpKCgAGV1DQiPHSZ0KYT0iuDwaHDGGHy55Z+tfv77C7+Gs9vtxkMPPYSnnnqq/YNzHBYuXIht27ahsLAQGzZswO7du/GrX/2q0/0uWbIEeXl5yMzMxPbt23Hw4EE8+eSTLcuPHj2K5ORkfPXVVzh79iyWL1+OpUuXYvv27a32o9VqUV5e3vIqLi6+85MWSO6ZM+BVRhoalAwow1KnoKi6Ed98s0PoUnqciPVCg82GDRvwzDPPwGq13nLdN998E6+//nqHDf35+fkYPnw4srKyMG7cOADAzp07MW/ePJSWliIiIqLd7ebPn4+wsDB88MEH3a6pIzabDTqdDvX19dBqtbe9nzt1/fp1vPbmOkgGpSAmMVmwOggRQvnVQljyDmLVr5YjKSlJ6HJuqau5EVBtzmVlZdi8eTOmTp3a4TrHjh2DXq9vCWYAmDlzJjiOw4kTJzrcrr6+HkajsdV7drsdMTExiI6OxsKFC5GXl9dpfS6XCzabrdUrEHy1ZSvqoEb0UBqJjgw85tih8KjD8cXmrXA4HEKX02MCIpwXL14MlUqFyMhIaLVavPfeex2uW1FRgdDQ1r0RJBIJjEYjKioq2t3miy++QFZWFpYvX97yXkJCAj744ANs3boVn3zyCXieR3p6OkpLSzs89po1a6DT6Vpe0dHR3TzTnudyuXClpAzhQ4aDG2DT+BACNN8cTJwwFfnl9fjyq6/6Te+Nbofz6tWr29xI+/Hr4sWL3drn2rVrkZOTg61bt+Ly5ct47rnnultWh/bt24fly5dj/fr1GDHiX1eWaWlpWLp0KcaMGYOpU6di8+bNMJlMeOeddzrc1wsvvID6+vqWVyD0sSwsLITV4YbeZBa6FEIEo1CpETfubuw5fgZHjhwRupwe0e1pqlatWoVly5Z1uk5cXFy39mk2m2E2m5GYmAij0YiMjAy8+OKLCA8Pb3fdqqqqVu95vV5YLBaYza0D6sCBA7j33nuxdu1aLF26tNMapFIpUlJSUFRU1OE6crkccrm8G2fmX4wx7D94CEwThiCtQehyCBGUKTIGdVWj8Pm2bxEdHY2YmBihS7oj3Q5nk8kEk8nkj1oAND+CDDT/ud6etLQ0WK1WnDp1CqmpqQCAvXv3gud5TJw4sWW9/fv3Y8GCBXjttdda9eToiM/nw7lz5zBv3rweOIvecfXqVeQWXEPMuDlCl0JIQIgfPRGn95Tj402f4bl/X4mgoCChS7ptfm1zLikpQW5uLkpKSuDz+ZCbm4vc3NyWPok7duzAhx9+iPPnz+PatWv45ptv8Ktf/QqTJ09GbGwsAODkyZNITEzEjRs3AABJSUmYO3cuVqxYgZMnT+LIkSNYuXIlHnnkkZaeGvv27cP8+fPx7//+71i0aBEqKipQUVEBi8XSUtsrr7yCXbt24cqVK8jJycHPfvYzFBcX4xe/+IU/P5IedeDQITilWhjNUUKXQkhA4DgOIybPRt6Neny9ZUufbn/2azi/9NJLSElJwcsvvwy73Y6UlBSkpKQgOzsbAKBUKrF+/XpMmTIFSUlJePbZZ3Hfffe16o/scDhQUFAAj+dfYxRv3LgRiYmJmDFjBubNm4cpU6bg3XffbVn+0UcfweFwYM2aNQgPD295Pfjggy3r1NXVYcWKFUhKSsK8efNgs9lw9OhRDB8+3J8fSY+pqKjAidx8RCaMoScCCfkBhUqN2JQM7D1+pk9Pa9Ur/Zz7KyH7OX/55T+w+dAZjJu/ZEBNF09IV509/B0iuXr8x3O/gUajEbqcFn2ynzPpmrKyMuw/cQphQ0dTMBPSgcRxd6GoxoGt27b1yeYN+snuY3w+H778ajPqeBU9dEJIJ2QKJUyDR+If32Ti2LFjQpfTbd3urUGEdeTIEWRdLEZCxkJ66ISQDjTarDj2zRe4euEURDIVPtr0OUaOHCnoMAvdRVfOfUhVVRW+3pEJzaAR0AbTmM2E/JjT0YhDX/8dn76+GsVXCpCQPhc/Xfl72ERqfPbFly1ddfsCunLuI86fP4+NX2xGhUuM1OTxQpdDSEBxu504vWc7zp/YB8ZJETduGibePRdBGj0AYOikWTh49BsM3rMHs2bNErbYLqJwDnAejwfffLMD3+w7Cq8uCikzp0EskQpdFiEBwev14uyhnTh76Dt4eCB6+ASkzZwHnbH1g3KG0AgYh47FVzv2IDY2FkOHBv5UbhTOAayyshIbP/sc2QWlCB+Zhsj44dSnmRA0P0l84cR+5Oz7J5xON8KHJWPSzAUwmSM73CZ2+FjkVpXjo02f4/ln/g06na4XK+4+CucAdfHiRaz/aBPKXRIkTX8Qar3x1hsR0s/xPI/LZ08ia9dm2O12mAYnYcbd8xEZc+vxfEQiEUakzcDpXV/i08+/wIonHoc4gG+qUzgHqAOHDqPMo0TqrPuoGYMQANfyz+Dkzi9htdTAEBWP2fcvQ+yw7j3RK1MokZA2G0eO/BMjjh5FRkaGn6q9cxTOAcjtdiO/6BrMsWMomMmA5bDbUJyfi9JLeagqvQq7rR5acwymPfxLDB0xGiLR7XU205vMCIoejq93ZCIpKQkhISE9XHnPoHAOQCUlJbA2ujCEBjQiA4y93oJzhzNx9UIO7FYLIJZCqQtG8KAkjE0YgcQx4247lH8ofvQEnNp5FV99vQVP/uKJgLyXQ+EcgK5evQo3J6cxmsmA4PV6UXwhB+eP7UXl9SvgZCqExSVhRMZ8DIpPgD7Y1COB/ENiiRTx46bhyPEdSMnKwoQJE3p0/z2BwjkAFVwqgkwfFpC/zQm5XTzPo6GuGlXXr6K69BpqK26gwVKJRpsVTCRGUEgERs94ECPHTWrpn+xPRnMUys1D8dW2bzFs2DDo9f4/ZndQOAcYp9OJwqvXETyYHjQh/UNJ4Xmc3vtP1JRfh9frhUgsgVimgCbYjODBIxAfGo7w6FhEDY7v8SvkW0kYOxmndn6KLdu24eePPRZQF0QUzgHE4/Fg165dsDS6kETtzaQP43kel3KP48yBHairrYbaFInEyXMRHBYJU3gkjKbQXg/i9khkMsSlTsWBrEyMST6DMWPGCF1SCwrnAFFcXIzP/7EZuZfLEJo4CSpNYHeQJ6Q9Xq8XF0/uR+7B7+BotEMfMRh3LboPw5JTA7ZPsSkyFhVXY/Dlln9iyJAhATP2M4WzwNxuNzIzM7F9zyE0SHQYPuMndCOQBCye51F+rRAyuRIGUzgkMhkAwOt249yxPTh3ZBecThdCYhIw+cGZiB2aFBBXyLeSMC4Dp7/7DNu3f4NHHnk4IJo3KJx7UWlpKbKysmC3N6K+wY56eyOs9Q0orXMgLHE8hiYmB8Q3BSE/xPM8SosuoCD7EEqLLsDj9oCBAYyHQqmCUq1Fk90Gl9uLsCEjMP2uWYgeHPhjV/yQTKFEzOgp2H3sAJKTR2HECOHHSqdw7kWnT5/Gxu+OQmWMgFShgEweDKkpEiNTh1AzBgk4N65cREHWIZRcOg+XywW5xoDoUWkYMmI0GM9Qb6mGrc6CBqsF2ggJUibfjbDIGKHLvm1hMfGoKL6EL77ehv8YPBgqlUrQeiice5HP54NCY0TK9PkAAMYYXSmTgHQx+xAObP4Ycm0wwhPHYVjyWAwakhiw7cY9QSQSIWnCVJz57gvs2PEtfvKTRYLWQ+Hci3w+H0Qch6bGBhRmH4TTVofUuT+FRCoTujRCWqkpK4FMY8Bjv/3PATWEgFwZhMhRk7Dr8FEkJ4/CsGHDBKsl8Fvq+xGfzwdbnQXnMr9AnMoNs4rH9cK+O3U76b/sVguUGt2ACuabIuIS4VSa8MXmLXA6nYLVQeHci0QiEaI0HJbck4H/77nfYMbkiaguOguv2y10aYS00lhfB0UvPKUXiEQiERInTkdeSS12794tWB0Uzr1oxowZePH532DBggVQKBSYOnUqwjVSFF88I3RphLTidDRAPYC7dCqDNDANS0HmwWOoq6sTpAYK515kNBphNptbvtZqtZh1Vxpqr5yDx+0SsDJCWmty2KHW6YUuQ1DRw0ai0sHjwIEDghyfwllgU6ZMQZhGghtFF4QuhRAAgLPRDp/HO+DDWSKVIWzoGOw9mgWLxdLrx6dwFphGo8Hk1DGoupIHxpjQ5RCC+tpKgOOg0Q3cZo2booeNRFUTw/79vX/1TF3pAkBa2iTsOpKFmrJimCJjb2sfPp8XV8+fgq2mAmKZAjKFEjK5EjKFEoogNXQhZsjkip4tnPRLDXU1EHFiaGneSoglUoQNHYN9x7Nx110ZvTprCoVzAIiMjMToYYNxsvDcbYVzXVUZLmXtR5jCi3uSh6OxyQmrrQH1DZVoqHTA4vGh2OkBlDooDWEwhIbDEBYJZVBgDPBCAktDXQ3AcVDTlTOA5qvn7EtnkZm5G4sXP9Jrx6VwDgAikQhT0ifh+LufoNFW1+WBj7xuNwpPH4WrvBB3JQ/DogfuR2hoaKt1eJ5HfX09SkpKUFxcjIKiq7hWeAyVZz3wSpSQqI1Q64wI0huh0QcjSGsA14+fAiO3Zq+zQK5UQ0oPRwEAxGIJokZMwP6TRzBlymRER0f3ynEpnAPEyJEjEW3SofxqIeJHT7zl+tU3inHl1H7E6GR4cOlDGD9+PDiu7S0EjuNgMBhgMBgwevRoAEBjYyOuX7+OkpIS3CgvR0lpOaoKLqLW7YPTy0Ok0CBqxHiYY+J7/DxJ4LPbLFCoaayXH4qIS0B24Rns2Pldr805SOEcICQSCZLiY7E7v6rT9Xw+LwpPHYGrvBBzxo/EAwsXdnt6naCgICQmJiIxMbHlvaamJlRVVaG6uhpHjh7DqSsFFM4DlMNWD4XWJHQZAUUkEiE2eRJO5mRi5pUrGDJkiN+PSb01Akh0VBQ8ttoOe2001NXg1HdfQm2/jl8/9hMsW7q0x+Y9UyqViImJwbhx45CUmACfw9oj+yV9j7OpAUFaunL+sZCIQWiSaHHg4KFeOR5dOQeQyMhISJkbzsYGKNXalvfdLiduFOWh9tJpTEiIxpJHHm7TttyTQkNDwVx2eD1uGpRpAHI5HAjSaG+94gAjEokQlTgGJ88exryKilYPlPkDhXMAiYiIgFouQX1tFWQKJapLr6HiWiE8dWUICZJiyfxpmD17NiQS//6zhYaGQiUTw15fB31ImF+PRQKLvd4Cj8cDXTA1a7QnLCYe18+fwOHDR/w+pCiFcwBRq9Uwm4zIzT2OktMHoJOJMH5oLMbduwgjR46EWq3ulTpMJhOC5BLYrbUUzgNMVelViMRiBIdGCF1KQOI4DqHxo3DwZA5mzZoJnc5/zT8UzgFm7KgRUMguYfzY0Rg1alSvdnq/SSqVItwUgqvW2l4/NhFWzY1icBI5QsL8+yd7XxYVPxynL2bj/PnzmDx5st+OQ+EcYBYsmI8FC4SuAoiJikBebrHQZZBeZqm4gSCDaUCO49xVEqkMUkM4zuVd8Gs4+7W3xquvvor09HSoVKp2exXU1tZi7ty5iIiIgFwuR3R0NFauXAmbzdbpfi0WC5YsWQKtVgu9Xo8nnngCdru9ZXlBQQGmT5+OsLAwKBQKxMXF4fe//z08Hk+r/Xz55ZdITEyEQqHAqFGjsGPHjh457/4gJmYQvA214H0+oUshvchWWwmN0X83m/sLU3QczhVcQUNDg9+O4ddwdrvdeOihh/DUU0+1f3COw8KFC7Ft2zYUFhZiw4YN2L17N371q191ut8lS5YgLy8PmZmZ2L59Ow4ePIgnn3yyZblUKsXSpUuxa9cuFBQU4K9//SvWr1+Pl19+uWWdo0ePYvHixXjiiSdw+vRp3H///bj//vtx/vz5njn5Pm7QoEFQSQBbXY3QpZBewvM87PV1MJjoPsOtmCJjYW3yoqCgwG/HELFeGAptw4YNeOaZZ2C1Wm+57ptvvonXX38d169fb3d5fn4+hg8fjqysLIwbNw4AsHPnTsybNw+lpaWIiGj/RsZzzz2HrKwsHDrU3Efx4YcfRmNjI7Zv396yzqRJkzBmzBisW7euS+dls9mg0+lQX18PrbZ/dT3y+XxY/dIrcIcOR+zwFKHLIb3AZqnGp3/5P5j60xVIHD1e6HICXs7urzFjRDiWLV3are26mhsB9RBKWVkZNm/ejKlTp3a4zrFjx6DX61uCGQBmzpwJjuNw4sSJdrcpKirCzp07W+332LFjmDlzZqv15syZg2PHjt3hWfQPYrEYw+JiUFdVJnQppJfcbMLixHQrqisM4TE4f7EIXq/XL/sPiHBevHgxVCoVIiMjodVq8d5773W4bkVFRZsHMCQSCYxGIyoqKlq9n56eDoVCgaFDhyIjIwOvvPJKq/2EhbX+8y0sLKzNPn7I5XLBZrO1evVnQwbHwmOrpnGmBwhtcCg4EWCtrRa6lD4hODwatQ1NHf6Vf6e6Hc6rV6+GSCTq9HXx4sVu7XPt2rXIycnB1q1bcfnyZTz33HPdLatdn3/+OXJycrBp0yZ88803eOONN+5of2vWrIFOp2t59dboVEKJioqCjLnRZO/fv4RIM47joFRrYbPQfYau0BhC4GRSXL161S/77/bfL6tWrcKyZcs6XScuLq5b+zSbzTCbzUhMTITRaERGRgZefPFFhIeHt7tuVVXrwYG8Xi8sFkubxylvhufw4cPh8/nw5JNPYtWqVRCLxTCbzaisrGy1fmVlZaePZL7wwgutfnHYbLZ+HdBRUVFQy6Ww1lRApaGxFgYClUbfPJ4zuSWRSASZIRSFRZdx99139/j+ux3OJpMJJpP/Hu3keR5AcxNCe9LS0mC1WnHq1CmkpqYCAPbu3Que5zFxYsdDbfI8D4/HA57nIRaLkZaWhj179uCZZ55pWSczMxNpaWkd7kMul0Mul9/GWfVNKpUK0WYTrlRXIGJwgtDlkF6gCw5FedkNocvoM/Qh4Si65p/5P/3a8l9SUgKLxYKSkhL4fD7k5uYCAOLj46FWq7Fjxw5UVlZi/PjxUKvVyMvLw/PPP4/JkycjNjYWAHDy5EksXboUe/bsQWRkJJKSkjB37lysWLEC69atg8fjwcqVK/HII4+09NTYuHEjpFIpRo0aBblcjuzsbLzwwgt4+OGHIZU2d67/zW9+g6lTp+Ivf/kL5s+fj88++wzZ2dl49913/fmR9DlD42Jw7lj3mqlI36ULCcOVi+fh83roQZQukMoVcLnd8Pl8EPfwJBV+DeeXXnoJH330UcvXKSnNXbL27duHadOmQalUYv369Xj22WfhcrkQHR2NBx98EKtXr27ZxuFwoKCgoNUDJBs3bsTKlSsxY8YMcByHRYsW4c033/zXSUkkeO2111BYWAjGGGJiYrBy5Uo8++yzLeukp6dj06ZN+P3vf4/f/e53GDp0KLZs2YKRI0f68yPpc8xmM/imk2CM9coA40RYhtBwMN4La201gsNofI1bkUhlcPAMbrcbSqWyR/fdK/2c+6v+3M/5pgsXLuBP//MBRt3zGGSKnv3mI4GnrqocX/z3y5jx6K8RP2KM0OUEvNry66g+vQuvvfxCl8dW75P9nEng0ev1kEs4NDVSj42BQBcSBk4EWGo6n5GHNBNLpPDxrMN7ZHeCwpl0ymAwQC7l0NRA4TwQUHe67pFIZRTORBgKhQIalZKunAcQlUaPBhoutksY4yESidqdXPlOUTiTTolEIoSZguGgK+cBQ2sMgYPCuUu8Hg/EIpFfuthSOJNbMocEw+Xw39CIJLDoQsLQZKuDz+u59coDnM/rgZgTQSbr+bk2KZzJLRmNBvDORqHLIL3EEBoB3ueB1UJXz7fi9bjBcaBwJsLQarXg3Q4aAGmAMJqjwHgv6qo7HgSMNPN63JDQlTMRik6ng5j54HH3/B1pEnj0pnBwENHodF3gdjqgDgrq8acDAQpn0gU6nQ4yCQdnI7U7DwQcx0ERpEY9DYB0S25nE/QatV/2TeFMbkmn00Eu4eB02G+9MukXlEFq6qHTBa4mB/Q6jV/2TeFMbikoKAgKmYSunAcQsUQGr8ctdBkBz+dqgo6unIlQOI5DsEEPR0O90KWQXiKRSsH7/DP9Un/CvC6o1RTORECjhyeg/kYR9X0dIMQSKXwe+re+Jd7rl54aAIUz6aLJkycjRCFC2RUa23kgEEuk4H0UzrfCvp+8wx8onEmXGI1GZIwfg/LCMy2z1ZD+S6pQwuN0Cl1G4GMUziQAZGRMgZZzoarkstClED/TGkLgtNdTM9Yt0JUzCQgRERGYMCoRpRdz6WnBfk5vMjfPiEKPcHeIMQbm80Ii8c+EUhTOpFum3pUBhacelopSoUshftT8CLcPdTWVt155gPJ63BCLeOqtQQLDkCFDMHpYDEryTwtdCvEjbXAYRIxHPQ263yGXoxFSMee3KeoonEm3iEQiTJ96F0QNFXT13I9JJBIoVGrY6BHuDjkddsgkHDQa/zwh6NfZt0n/NGLECKQkxOL0iR24FmRC5LBkmKIG+2U2CCIclUaLBqtF6DIClqupETIxhTMJIBzH4d9+/RTy8/Nx+Ogx5Jzbj2tnjiI0bjjCBydAofJPGxzpXWp9CKwUzh1yORqh06j9dkOQwpncFrFYjJEjR2LkyJG4ceMGjh8/gaPZuThfeApifTjCByfCFD0YYjF9i/VVuuBQlF2/9v08efRX0Y85mxoRq/NPezNA4Ux6QGRkJBYtehDz58/D+fPnkXUqB2cuHELJmcNQh8chakgStMGhQpdJukkXEgavywm7zQaNTi90OQHH5WhEcJTBb/uncCY9RqFQYNy4cRg3bhyqq6tx5swZHD15ClcOb4VHrkdYXCLCYxMg8dNYBKRnGUIjAN6HuupKCud28O4m6HWxfts/hTPxC5PJhJkzZ+Luu+9GYWEhsrKzcfLMKZy+cBLK0BhEDRsFXXAoRCKR0KWSDhjCIsHzPtRbqgEkCF1OwGGeJr/dDAQonImfcRyHxMREJCYmYuF9Npw+fRqHj59E0dFtcMt0CItLoqvpAKVQBUGukMNKfZ3bYIzB53L47QEUgMKZ9CKtVoupU6ciIyMDRUVFOJmVhRO5p5Bz4SSCzHGIHjqC2qYDjFJN3ena43G7IBGBrpxJ/8JxHIYNG4Zhw4bh3gX1yMnJwaFjJ5vbphV6mOOGwxw7FBIpXU0LLUhrRGM9hfOPuRzNfZzpypn0WzqdDtOnT8fUqVNx6dIlnDh5EifPZCEn7ziCzHHQm8LhcTXB7XLC42yCo9EGR70VwydNhykyRujy+z2tMQSWSzSG9485GqyQSzkYjUa/HYPCmQQEjuOQkJCAhIQELLyv+Wr68PEsVBVdg1IuR4g6CDpjEHZmHcG1Ojcu5hyFWqdHbNIYJI7LQHB4tNCn0C/pQ8xwncmGq8kBuVIldDkBo9FWB51aiaCgIL8dg8KZBJybV9PTpk2D1+uFVCptWRYZHoYvDp6DLnIIivJyUXAmG+eP74fBFIZ5y5+FWue/K5mBSGcKB3gfLDVVCI+OFbqcgNFYb0VieJhfexvRYz8kYIlEolbBDABRUVEQexqRkDwO9/7sl1jy21cx+cFlcLi9+PrtV2GzVAtUbf8U/P3QofX0ubbibqxHeJh/b15TOJM+xWg0QiJicDubAAByhRIjU9Mxf+lK8BIFtqz7E6zVFQJX2X8E6QzgOA7WWgrnH2K8/2cmp3AmfYpSqYSE4+Bxt57fzmSOxIKf/xtEcjW2vrMGdVXlAlXYv3AcB5VajYY66rHxQzpzDLLP5MHr9V9IUziTPkWhUEAiFsHjdrVZFhxqxoKf/xu4IAO2vrMGteXXBaiw/1FpDLBTd7pWzDFDcaPWhsuX/TefJoUz6VMUCgXEnAgeV/szQxtCQnHfz5+GVBuCbe++huob13q3wH5IYwhGo5XmEvwhtd4IJxOjpKTEb8egcCZ9ikgkgoQTwetxd7iOzmjCfT9fCbkhDNvfewPVN4p7scL+R6FSw+NqErqMgGKtLkeQmMeQIUP8dgwKZ9JnuFwufPzJRlQ3MehN4Z2uq9Ebce/P/w0yfSh2fPj/4HV3HOakc402KxRqndBlBJQbRRcwLDoMgwcP9tsx/BrOr776KtLT06FSqaDX69ssr62txdy5cxEREQG5XI7o6GisXLkSNput0/1aLBYsWbIEWq0Wer0eTzzxBOx2e8vygoICTJ8+HWFhYVAoFIiLi8Pvf/97eDyelnU2bNgAkUjU6qVQKHrs3EnPcrvd2PDx33HgzGUkZsxHkFZ/y200Oj1m/mQ5XG4vzh3b4/8i+yl7vQVKjV7oMgKG1+2Go6oYaRPG+bWfs18fQnG73XjooYeQlpaG999/v81yjuOwcOFC/PGPf4TJZEJRURGefvppWCwWbNq0qcP9LlmyBOXl5cjMzITH48Hy5cvx5JNPtmwjlUqxdOlSjB07Fnq9HmfOnMGKFSvA8zz+9Kc/texHq9WioKCg5WsavjIweTwe/P2Tjdh/+hISpsyHLjisy9uGRUbDNDgRF07sw+iMOTTP4W1wOuwIDY8TuoyAUVF8CcFKMcaMGePX4/g1nP/whz8AaL5KbY/BYMBTTz3V8nVMTAx+/etf4/XXX+9wn/n5+di5cyeysrIwbtw4AMBbb72FefPm4Y033kBERATi4uIQF/evb6aYmBjs378fhw4darUvkUgEs9l8u6dHeoHX68XGTz/F7ux8xKffA72p+/9eyZOmYs+mt3EtLwdxo8b5ocr+zeVoRJCWmjVuqrx6ETOTE6HT+fczCajLiLKyMmzevBlTp07tcJ1jx45Br9e3BDMAzJw5ExzH4cSJE+1uU1RUhJ07d7bZr91uR0xMDKKjo7Fw4ULk5eV1Wp/L5YLNZmv1Iv7j8Xjw6WefYdfxcxgyaQ6MYZG3tZ+4xJHQhEYj98C3PVxh/+d2OuBxu6HR+W86pr7EbrWAc9RifGqq348VEOG8ePFiqFQqREZGQqvV4r333utw3YqKCoSGtn5sUiKRwGg0oqKi9ZNh6enpUCgUGDp0KDIyMvDKK6+0LEtISMAHH3yArVu34pNPPgHP80hPT0dpaWmHx16zZg10Ol3LKzqaBtvxF5fLhQ0f/x07jp5F7ITZdzSwkUjEIWncFNRUlFLPjW6qq64AOA4aPY1ZAgA3LucjJsyAhAT/zwzT7XBevXp1mxtpP35dvNi9IQbXrl2LnJwcbN26FZcvX8Zzzz3X3bLa9fnnnyMnJwebNm3CN998gzfeeKNlWVpaGpYuXYoxY8Zg6tSp2Lx5M0wmE955550O9/fCCy+gvr6+5XX9Oj3k4A+NjY14970PsDenEEMnz+uRoUFHpE6ETG3Aqb3/7IEKB44GSzVEnBg6Y7DQpQiO53nU3yhC2rgUSCT+HzOu20dYtWoVli1b1uk6P2zv7Qqz2Qyz2YzExEQYjUZkZGTgxRdfRHh42+5SZrMZVVVVrd7zer2wWCxt2o9vXtkOHz4cPp8PTz75JFatWgWxWNxmv1KpFCkpKSgqKuqwTrlcDrlc3q1zI91TX1+P9R9sQPaVSiTddS+0RlOP7FcqU2DImEkoOLITNkt1j+23v7NZqgGOg5qaNVBXeQNqzovk5OReOV63w9lkMsFk8t83Ns/zAJr/rG1PWloarFYrTp06hdTv23327t0LnucxceLETvfr8XjA83y74ezz+XDu3DnMmzevB86C3K5vv92JrMtVGDV9IYK0PRsIYyffjaLcYzi45WMseHxVj+67v2qoq4FCpYGUZqVB+dUCDIs2IzLy9u59dJdfr81LSkpgsVhQUlICn8+H3NxcAEB8fDzUajV27NiByspKjB8/Hmq1Gnl5eXj++ecxefJkxMbGAgBOnjyJpUuXYs+ePYiMjERSUhLmzp2LFStWYN26dfB4PFi5ciUeeeQRREREAAA2btwIqVSKUaNGQS6XIzs7Gy+88AIefvjhliEoX3nlFUyaNAnx8fGwWq14/fXXUVxcjF/84hf+/EjILZRVVkMbHtvjwQwAQRotkqfMRva3n6Ok8DwGDRvZ48fobxrr66DQ0FWzz+eFo6oYE34yt9e63Po1nF966SV89NFHLV+npKQAAPbt24dp06ZBqVRi/fr1ePbZZ+FyuRAdHY0HH3wQq1evbtnG4XCgoKCg1QMkGzduxMqVKzFjxgxwHIdFixbhzTff/NdJSSR47bXXUFhYCMYYYmJisHLlSjz77LMt69TV1WHFihWoqKiAwWBAamoqjh49iuHDh/vzIyGdYIyhsqYWymD/3WwZkzYNl86cxOGtf8cjq9ZQv+dbaLTVQWHsnSvFQFZdeg06mQijRo3qtWOKGGOs147Wz9hsNuh0OtTX10Or1QpdTp/X1NSEVb//AzSJGTDHDvXbcYqL8vHdx29h3PR5GDt9gd+O0x/8fc1ziBw+AXcvfEToUgR15uC3SDVL8W9P//qO99XV3KDLBhIwrFYr3F4eCrV/f9HFxCchMikVpw98i0ab1a/H6st4noezsXHA3wz0ut1wW0qRmjKmV49L4UwCRn19PVweHsogjd+Pddc9D4CTB2H7e6/D7XT4/Xh9UZPdBp6xAf8ASuX1K9ArxBgxYkSvHpfCmQQMj8cDnjFIfjRvoD9o9EbMfPgXsDua8M/1b9Code2w1lRAxHFQ6wd2OFeVXMLoxHi/P679YxTOZMCKjhuGaYuWoc5SixPf/UPocgKOrbYKEImhNwzcB1DcziZ4rRVIGd07fZt/iMKZDGhDkpIRFjccJYXnhC4l4DTU1YCTSKHW6YUuRTCVJZcRHCQVpBcXhTMZ8KLjE9FgqaF58n7EXlcLeZAWItHAjYnqkktIGTEMarW61489cD91Qr43JGkUIJHh8rksoUsJKAN9kH1nox2soRopo0cLcnz/j95BSBd5vV4wAOjlSQ80eiO0odG4lpeL0VPm9OqxA5nDXg9tRLzQZdyWuppKVFeUgeM4cJwYIk7U8v8/fE8kEoMT/+B9sRiciAMnFqHsSgFMWgWSkpIEOQcKZxIwCgsvQRRkhFjc+9+WEXEJuHQ8E16vt1dGHOsLXI5GqPvgIPtFF87gwNcfw+toaH7jB7/sRRABon999ePlP3xfJAJ+OmeKYNPX0XchCQhutxvZZy/AGDlMkOMPThiB/KO7UFJwBnEj/D+QeqDzer1wNTm6NFdjIDlz/CCyvvsHDMYQ3L3itxCJROB5H3xeLxjjwXgevM8H3ueF7+b/814wvnmZz+cD431wORpReykHc2bPFuxcKJxJQLh06RIqrXYkpPrvse3ORMQMgdoUgezMLYhNShnwY27Y62rAIOozg+wzxuPIru24cGQnouISMPtnT9/RX0DXC89D66r0+zyBnaFwJgHh3Lnz8CkNUGmE+TNaLBZj4ox7sfezd3Ax6yCGT5wmSB2Bwm6tBQAc2vIJDm/bCKB5YKpWDQCMgf3o69Zf/ujrH67NdzCkDydqbnrA9xMui1r//79GhPvX5B43ORvqMDx1CiYvXHLHv1xrblxDRsIQKJXKO9rPnaBwJoJzu904de4CgqMSBa1jyPBknIsbjqzMrzEsJR0S2cAdwzg0ZgjGTrsHnu/HVW8zTCbX+mvuxx2/frD8x9u2/bp5W8b4lkBnjLUEOA8e4NkPln2/3s2veQYePMKi45A4LqO7p9qG1+OGt74cI4en3fG+7gSFMxFccXExquodGDp2iKB1iEQc0mffj23v/ReyMr9G2vyHBa1HSDKZAuNnPSB0GYKoLb8OrUzcK/MEdmZgN6yRgFBbWws3LxKsSeOHwiKjETtqEvJO7EdDXa3Q5RABWCpKERsRCqNR2PZ2CmciOIvFAk6h7rUZJm4lfdZ8iJUaHN62SehSiAAc1ioMjbvzSYXvFIUzEVx1TQ3ESv8PE9pVQRo9hk+6G6WXzuNG0QWhyyG9yOf1gLfXYdCgQUKXQuFMhFdWWQOVWvgmjR8alzEDmvDByNz0t+YZqMmAYLNUQyXjEBUVJXQpFM5EeD6fT+gS2hBLpLjn0RWAQotvPvx/cLudQpdEeoG1ugIGtQphYWFCl0LhTIQ3dHAMGiyVQpfRhs4QjFk/XY5GhxPfbXgTPM8LXRLxs/qaCgyLGxQQDyEJXwEZ8GJjY8A31sLn8wpdShuRsfFIm/cwykuv4eg/6QZhf8YYg8dWg8Exwrc3AxTOJABER0dDKxfj7MGdKL2UB2ejXeiSWhmROgnDJ89G3smDyDu+T+hyiJ84HXZIfM6AaG8G6CEUEgDCw8Px84cWIvfseVy8nIW880cgNkQiatgoBIdHB0QXu8mz74O1phpHt38GfUgYIuN7f2YM4l/WqnKoFZKACWcR+/ED8KTLbDYbdDod6uvrodVqhS6nX2hqasKFCxdw6OgxnC8qQaNICXP8KEQPGyV4SHvcTmx+/7/RWFmCjPsfw9AxkwSth/Ss/KyDGCypxwv/3yq/HqeruUFXziSgKJVKpKamYuzYsbh+/TqOHTuOnYdPQBGkQWjUYEFrk8oUmPfoL5H5j4+w9x8fouhMFqY/9DgUqiBB6yI9w1FXhaEThRmytj3U5kwCkkgkwqBBg/DTnz6EsYmDceNSntAlAQA0Oj0eePzfkDrnIZRdv4rP/9/vcO3CaaHLInfI5/OCb6xDdHS00KW0oHAmAU0kEmFy2iSw+jI02W1ClwOgeYCkcRkzcf+K30JlisauTeuQuemdlhHcSN9TX12BIBmHmBjhH9u+icKZBLyRI0ciKkSH0gC5er4pOCwC9/3815Crdcg+8C3+vuZZ1FWVC10WuQ2WqjKYdGqEhoYKXUoLCmcS8GQyGYYNjkZjg1XoUlq5UXQBX6x9ER63G6On3QuJ2ojNb/8nis6cELo00k226jIMHxoXEA+f3EQ3BEmfIBFLwDqaPUMAJYXn8d3Hb0ETHovZ9z+KsMgYNDbYsOsfG7D3y/dRUVyE9AWLA+qHnbSP9/ngs9UgLm6K0KW0Qt85pE/QaNTwNNa1mfpICNbqCuz5dB10UfFYtOJZhEU2t1MGabS4b+nTSEifgwvZR7D7s3cErpR0ha2uBkoJAmIkuh+icCZ9wpgxY6Dim1BXeUPQOpyORnzzwV8gURtwz+IVkMoUrZaLxWJMnbcIY2c+gKsXcnHm8HcCVUq6ylZbCa1SBrPZLHQprVA4kz4hJiYGSYMjcf3SecFq4HkeOz5cC6eXx+xHfgGNTt/huqkZMxA9cgJO7tyM8quFvVck6TabpRqx0eF3NFu3P1A4kz5BJBJh8qQJcNdch6vJIUgN+758H7VVFchY+LOWpoyOiEQcZj24BJrwWOza+L9wBEg3QNKWq74WgwcFTv/mmyicSZ/g8/ng9XqhU4hRdf1Krx//9IFvUXTuFEZPvxfDRqZ0aRupTIFZDy0HL5bj2w//SkOOBiCfzwveYUV4eLjQpbRB4UwCGs/zOH36NP7rL3/Fu59tg0sThdDouF6tofxqIbIztyAmOQ3jp87q1rbBoWZk3PcoLDVVOLT1736qkNwum6UGcjEQEREhdCltBFYjCyE/wPM83vrft3Hq4jVwxmgMm7YIan3vzojsbLQjc9Pb0ITHYsb9D0Mk6v71TPyIMahIn4ULh3ZAow/G2OkL/FAp6ar62kpcOZeNkoLzqK0ogSlIFhAzn/wYhTMJWCKRCFUWK5RRSUgcl9Hrx+d5Ht/9/S14RRLM/8nP2/TM6I7Js+9Fk70BWXv+ibrqSkz/yXLqA91L3E4Hrl7IRcnFM6gsKUJjQwM4qRzasEjoI+Iwc2xcwN0MBPzcrPHqq68iPT0dKpUKer2+zfLa2lrMnTsXERERkMvliI6OxsqVK2GzdX7zxGKxYMmSJdBqtdDr9XjiiSdgt7c/QHtRURE0Gk27x//yyy+RmJgIhUKBUaNGYceOHbdzmsRPRCIRRgwdAoe1RpDjZ2V+jcqy60i756cIDruzP3tFIg4zH3wUY2Y8gCt5p7HtnT/D7RTmxuZAYKm8gaPbP8MX//0SNvzxGRzY8gnKy24gJC4ZUx58HI+uehUPP7Ua0RFmpIxOFrrcdvn114Xb7cZDDz2EtLQ0vP/++22WcxyHhQsX4o9//CNMJhOKiorw9NNPw2KxYNOmjqcEWrJkCcrLy5GZmQmPx4Ply5fjySefbLONx+PB4sWLkZGRgaNHj7ZadvToUSxevBhr1qzBggULsGnTJtx///3IycnByJEje+YDIHdsyJA4eA+fgs/rgVgi7bXj3rhyEWcO70L8uOlISpnQI/sUiThMnD4XOqMJR/65Ef946w+Y//hz0AUH3p/UfVF9bSUunjyEKxdOwWaphVgRhJDoIRibkoGYoUkIMUe0apZyNTnAue0BM7j+j/XKYPsbNmzAM888A6vVest133zzTbz++uu4fv16u8vz8/MxfPhwZGVlYdy4cQCAnTt3Yt68eSgtLW3VsP8f//EfKCsrw4wZM9oc/+GHH0ZjYyO2b9/e8t6kSZMwZswYrFu3rkvnRYPt+19lZSVeXPP/EDp2NoLDe6+704lv/4GzJw9i2e/egFQq6/H93yi+gj1ffgBfoxXTf7oCsUmje/wYA0FDXS0uZh/E1fOnYK2pAidXwRQzDHHDx2DYyDGQK1Udblt1/Qrqzu3Hn19e3e5f1v7SJwfbLysrw+bNmzF16tQO1zl27Bj0en1LMAPAzJkzwXEcTpw4gQceeAAAsHfvXnz55ZfIzc3F5s2b293Pc8891+q9OXPmYMuWLR0e2+VywfWDYSFv1fxC7lxoaCjCQ/QouXwBRnNUr82GojGGgPl8cDbaIfXDTcjImDg8sOK32Pn5+9i16W2k3DUX42c90OPH6U/cbicqrhTixtWLqCq5Cmt1GZxNTRDLFAgeFI+JabMxbFQKlEGaLu3PWlMJc7AOOp3Oz5XfnoAI58WLF2Pr1q1oamrCvffei/fee6/DdSsqKtoM6yeRSGA0GlFRUQGguS172bJl+OSTTzr8zVRRUdHmDm1YWFjLPtqzZs0a/OEPf+jqaZEeIBKJsOi++fifDzaiOD8XscO71sf4ThlCIwDmg9VSA42feohodHo8+Pi/Y98/v8Tpg7twLT8XBlM4gvRGaPQh0BpCoA0OhdoQEpA3rPyJ53lYq8tx/dJ5VF67hJry67DX14GJxBDLFNCZIhA9Kg2hUYMweNhwBGn03T5GQ3UZpqbGCT79WUe6/S++evVqvPbaa52uk5+fj8TExC7vc+3atXj55ZdRWFiIF154Ac899xzefvvt7pbWYsWKFXj00Udx11133fY+2nOztptsNltAzZzQXyUnJ+Oh+ZX4eMsuBOkMMEXG+v2YhtAIMJ8P9XU1iIb/pi4SS6SY+cCjOBc5CIVns1BZUYGmokLwXhfA82C8DyIwyBRKKILUUAbpoDGGQKM3whgWiejEZMjuoBdJoHC7nSi7XICyy/moLLmMuupyeDxuiMQyBBlMMEQnYNikQQiPjoU5KuaO7z+4XU7w9loMHTq7h86g53U7nFetWoVly5Z1uk5cXPceEjCbzTCbzUhMTITRaERGRgZefPHFdp/aMZvNqKqqavWe1+uFxWJpGbhk79692LZtG9544w0AAGMMPM9DIpHg3XffxeOPPw6z2YzKyspW+6msrOx08BO5XA65XN6tcyM9Y8aMGaisqsI3R/dAGfSA3/s7K4LUkEilaKiz+PU4N42aMAWjJjQPWckYD4fdDpvVgob6OtjrrbDXW2C31cNhs+JG8TU4L5wF83kg4n3Qm8IQOWQ4Bo8Yi7CYeL930eN5Hk6HHc7GBiiCNFCpO2439Xq9sNfVwG6tRYO1FnZrLRwNzefhsNvgamqEy+GAx+0EOAnEciX05mjEj58O86A4RMYMQZCm5+/nWCpKoVNKEB8f3+P77indDmeTyQSTyeSPWgCg5RFXVwdT/qSlpcFqteLUqVNITU0F0BzGPM9j4sSJAJrbk30+X8s2W7duxWuvvYajR48iMjKyZT979uzBM88807JeZmYm0tLS/HFa5A5xHIeHfvITVNdacPLwDqTe8wjEYv/+qc+JOUGGKBWJOARptAjSaBEeHdvuOj6fDzUVpSi+dBE3rhYiP/ckzh3fD6lUAo3eCEWQFiq1FiqNDiqdHhJJ65uajDG4HHa4mhxwNTXC7WyCx+2Cz+tpHt/Y5wXjfWA8Dx/va37P44HH7YLX4wZEIkDEgROJkDRuCibMeRAyhQo2SzWuF55H2ZWLqL5xDXarBQwigBNDJOIg4sSQB2kgV6kh1wQj2BwLlVqLII0OYVExMEdG90qvnJqyYiRGhQdsezPg5zbnkpISWCwWlJSUwOfzITc3FwAQHx8PtVqNHTt2oLKyEuPHj4darUZeXh6ef/55TJ48GbGxsQCAkydPYunSpdizZw8iIyORlJSEuXPnYsWKFVi3bh08Hg9WrlyJRx55pKWnRlJSUqs6srOzwXFcqy5yv/nNbzB16lT85S9/wfz58/HZZ58hOzsb7777rj8/EnIH5HI5ljzyMIpeW4vyKwWIGjrCr8fjfTxEnNivx7hdYrEYYZExzQMwTZsDj8eN0quXUHLpImx1tXA5GmArL4Or6GJzmKKdXzIiDhKZHFKZAlK5EhK5AiKxApxMDCkngVgqAceJIRaLwXFiSOVyyJVBkCuUUKhUkCuUKL6Uj4unj+DSmRMQiyVocjRCJJZCqQuGMWoYhk2KgdYQDI1WD7VWB5VGB7FY2M+UMYammjKMHJ8uaB234tdwfumll/DRRx+1fJ2S0nwzZ9++fZg2bRqUSiXWr1+PZ599Fi6XC9HR0XjwwQexevXqlm0cDgcKCgrg8Xha3tu4cSNWrlyJGTNmgOM4LFq0CG+++Wa3aktPT8emTZvw+9//Hr/73e8wdOhQbNmyhfo4B7jQ0FBMGTca207kImJIkl//hGeM7zNP8UmlMgweNgKDh7X+hcUYD7fTCZ73tdlGplDdcVAOSUrG6IkZyDqwCxKpDOGD4hA1eAh0Rv/9dX2nPC4nOG9TwA2u/2O90s+5v6J+zsK4ceMGXnnjTeiH3wVz7NBubetqcsBmqUZDXTUaLDXwNtZBoTdhRNrMNuu+9/tfYszsn2DcXd0b7IgEtrqqcpSf3IE//u45QcbU6JP9nAnpisjISExMTsLuczkIi4nvcleo80d2wVV1DUFyMQwaFUbFRKG01IrrvrZXlQDAMx6iPnLlTLrO0WCFQsrBaOzdQbS6i8KZ9EnTp03F0dy/oaasBKZbDHwPNF8t+WqL8cvFCzFixAgYDAbYbDa88Ic1MCWObbM+z/PgGfP7TUfS+xptVoQHGyCV9t5wALeDLgtInxQbG4uxSUNQcuHULddljOHq2eMYmxCLKVOmwGg0QiQSoaCgANYmL0LaCXfe6wUAunLuhxy2OkSGBW6b+E30nUf6JJFIhDHJo+CzVd9yhhFLRSlkTbWYM2tmqyaQvPx8iHWhkMra9l3neS8AEbgA7a1Bbp/XUY9wc+APNkXhTPqs0tIbEGuCO+1RcfOqedyIeAwb9q8n/dxuN87mFyE4YnD7G3IcAvOhXnInfD4vWFNDmyEgAhGFM+mTGGM4X3AJGlNkp+tVl16FymNrc9Xc0NCARqcbGkNwu9txN380GM371584bFYoJByFMyH+UlVVhYraegSbOx+LtyQ/BxOTE9oMKeDxeMAzBq6Tp9EYGHjqadqvNFhroZSJKZwJ8ZerV6/C7uahN3U8FordaoGkyYL0tEltlrndbvh4BklH4XyzqYTCuV+x19XCHGKEQhH4g0VROJM+qaysDF5O3umEqzeKLmBQqKFVW/NNzVfOgLiDoTj7ypOBpHvsdVUYEhOYM5/8GH0Hkj4pNTUVZhVDQc6RdpfzPh+sN4qQPn5su2Mh37xyvtUgO+099kz6JsYYfHYLoqI6v08RKCicSZ8UExODn/1kIbzlhbhx+WKb5VXXr0An9bWM59JmeVUVeE4CSTvd6IDmK2exWAKP292jdRPhOBrqIYWv1VR2gYwefyJ91vjx41FaegP/2HMIHMfB1dSI+poKuOurIfY5kZ6c0OH43IVFlyHVhXXafCGVyuByNvmrfNLLbLVVUMsl7Y4TH4gonEmfJRKJcN9996Kiqgqn8w5Br1YifXA0BscMR1RUVIeTPng8Hly4dBWGiORO9y+RyeB2UTj3Fz6fF00eH/bv3485c+YE/NRfgV0dIbcgkUiw4onHYbFYEBIS0qUhMEtKSlDX6ETcLbrhSeVyuJ3OniqVCCxySBIY78OmHQdw5VoJlix+OKAHP6I2Z9LnSaVShIWFdXls4tLSUjg8DEFafafrSaRyuF0Uzv2FSCRC9LBRGJZxH44WluP1v/4P8vLyhC6rQxTOZMAZMmQIzFo5Ck8f7XQ9mUIFd1NjL1VFeos2OBRjZ/8UFTDgr+s/xvbt2+H9fqCrQELhTAacqKgoLFl0H9xlF1Fx7VKH6wXpDHA21PdiZcSffF4Pyq5cxOWzWSg4dRhetxM1dje27T6E7777Tujy2qA2ZzIgTZgwASUl17F5/0Go9cHtzuat1hngajwLn88n+Lx35M7lnzwAua0ERp0GocFGhA6LhsGQDJ1Oh6FDuzejTm+gcCYDkkgkwsKF96G0vBzZx3Zh3D2PtFlHazSB93lht1mh62CAJNI3uJ1NcFZdw/LF92HKlClCl9Ml1KxBBiyZTIZJ48eBd9rbXa4xmsCYDzarpZcrIz3txuULCNMqMHZs21lvAhWFMxnQ3G43OIms3WX6EDPA82igcO7TGGOovnYR6amjoVKphC6nyyicyYDmdDoh6mB8DaVaC04kgr3e2rtFkR5VWXIZGjgxceIEoUvpFgpnMqC5XC6gg0lcOY6DXKWCvb6ul6siPYX3+VBy7jgmp45EdHS00OV0C4UzGdBcLhdE4vabNQBAoVKjqbH9NmkS+EoKzyFY6sU9c+YIXUq3UTiTAa3R4eh0NhSRSAQGGnC/L3K7nKgqOI3Zd03qEzOf/BiFMxnQHE1OSKQdXzkzMIhoqtc+h+d55B/fgxijAnfffbfQ5dwWCmcyIDHGcPr0aVy6dgNylbqTFdFqYlgS+BhjyD95ABp3DR5/bDHU6k7+fQMYPYRCBhyn04mtW7fhuyPZEIXEInHEv/q+8jyPJrsNNks17NZaOBvtUFM49ymXz2WBq72Cx3/+SLtTlPUVFM5kQCkuLsbvfv8iLt2ohtsHKNXFOH9sLxjPw+1sgtvZBJ6heW5CrvmlM4YIXTbpouKLZ9F47Qwef+jeDmfB6SsonMmA8t2uTFy1AaqIRKjFYojFYnBiMUQcB4UyCEEaLYI0Oqh1eqi1eqh1ekg7aZMmgeNqXg5sRafw8Py7kZGRIXQ5d4zCmQwYN27cwKkLl5B+z08QOSRR6HJID2GM4fK5LDiLz+Jn98/BjBkz+sV9AgpnMmAUFxfD5gaGDe677ZCkNZ7nUZhzBHxFIZY9dG+/uGK+icKZDBgNDQ0Qy1WdTupK+g63swnnj3wHPV+Px5YswoQJfevx7FuhcCYDhs1mg0imFLoM0gNstVXIP/odhpkUWP6zX2Dw4MFCl9TjKJzJgFFXb4OYwrlPa7LbcONyPuqunMWUkUPw2JLF0Ol0QpflFxTOZMCorauHQqkXugzSTV6PG5UlV1B5NR+soRqRRg3mL5iOWbNmQSrt+NH7vo7CmQwINTU1sNTVQxYaIXQppAsYY6ivqURpUR4clddgkItw14hhGJ86B8OHD4dM1v+7N1I4k36N53kcP34cX/1zJ8qaRBgVEy90SaQTbmcTyq5cRNW1fCi9DgyJMiH9J3MxZswYGAwGocvrVX69bf3qq68iPT0dKpUKer2+zfLa2lrMnTsXERERkMvliI6OxsqVK2Gz2Trdr8ViwZIlS6DVaqHX6/HEE0/Abm9/WMeioiJoNJo2x9+wYQNEIlGrl0KhuN1TJQGopqYG7773PtZt/Bp2bQxS5/wUSrVW6LLIjzDGUFdVhrOHv8OZbz8BV34e908ajv/zzC/xwvOrMH369AEXzICfr5zdbjceeughpKWl4f3332+znOM4LFy4EH/84x9hMplQVFSEp59+GhaLBZs2bepwv0uWLEF5eTkyMzPh8XiwfPlyPPnkk2228Xg8WLx4MTIyMnD06NE2+9FqtSgoKGj5uj90XCdtr5aHps+HgZozAo7X7UbZ1YuovHIBCq8diTHhyJjzAMaMGdOnppPyF7+G8x/+8AcAzVep7TEYDHjqqadavo6JicGvf/1rvP766x3uMz8/Hzt37kRWVhbGjRsHAHjrrbcwb948vPHGG4iI+NcP4e9//3skJiZixowZ7YazSCSC2Wy+nVMjAewfX32F7ftPQhmViNS7JkHcyXjNpHcwxloGlGr4flApT30lQlRiLBg3ChMnTkBcXBxdIP1AQLU5l5WVYfPmzZg6dWqH6xw7dgx6vb4lmAFg5syZ4DgOJ06cwAMPPAAA2Lt3L7788kvk5uZi8+bN7e7LbrcjJiYGPM9j7Nix+NOf/oQRI0Z0eGyXy9U8rdH3btX8QnpffX09Dp44DWPiRMQkJgtdTr/DGPt+gCgHXE3NL7ezEe6mJricDnhdTQDjwXgeAA8RY2CMh8/ZCJmIR5BMjFCjDhMTIxEbk4qUlBRotdTU1J6ACOfFixdj69ataGpqwr333ov33nuvw3UrKirazGogkUhgNBpRUVEBoLkte9myZfjkk086/IdPSEjABx98gOTkZNTX1+ONN95Aeno68vLyEBUV1e42a9asaflrgASm3Nxc1Db5MJbGzugSxhhcjkY02urgaLCi0WZFU0M9fE47RMwHxvNgvA+M9wG8D4zxkHIcpBIOUrEIMjGHIJUCkVotDCYtdBoTpFIpOI4Dx3HNA0txHNRqNcLDw2E2m/vs+Mq9rdvhvHr1arz22mudrpOfn4/ExK7/cKxduxYvv/wyCgsL8cILL+C5557D22+/3d3SWqxYsQKPPvoo7rrrrg7XSUtLQ1paWsvX6enpSEpKwjvvvIP//M//bHebm7XdZLPZ+tykkf0Zz/M4fPwkVGGxnc5u0l8xxuD1uOFqaoTL0dj836ZGOL//f97tbA5Y3gfwXjCfD7zXDamIh0IqhkouRWyIEVFJoQgOToRUKoVEIoFEIoFYLG75f5VKBbVaDbVajaCgoH7d11hI3Q7nVatWYdmyZZ2uExcX1619ms1mmM1mJCYmwmg0IiMjAy+++CLCw8PbXbeqqqrVe16vFxaLpaX9eO/evdi2bRveeOMNAM3ftDzPQyKR4N1338Xjjz/eZr9SqRQpKSkoKirqsE65XA65XN6tcyO95+rVq7hcWo3otIlCl9LjvG43nA7792Frh7PRDqfDDndTI3hPE5jbCd7thFjEQyrmIBVzkEk4aIKUiNJpEWzWQaeNhEwmawldqVQKuVwOo9GI4OBgGAwGiMVioU+VfK/b4WwymWAymfxRC4Dmqx8Ardp2fygtLQ1WqxWnTp1CamoqgOYw5nkeEyc2/1AeO3YMPp+vZZutW7fitddew9GjRxEZGdnufn0+H86dO4d58+b15OmQXpSdfQpOSRB0IWFCl9JtHrcLTQ31aGpsQJPdBofdBldjA3iXHT5nIzjeC5mkOXBlYg4GnQYhBj2CB4dBq9W0XMXevKLVaJrfGwgPa/RXfm1zLikpgcViQUlJCXw+H3JzcwEA8fHxUKvV2LFjByorKzF+/Hio1Wrk5eXh+eefx+TJkxEbGwsAOHnyJJYuXYo9e/YgMjISSUlJmDt3LlasWIF169bB4/Fg5cqVeOSRR1p6aiQlJbWqIzs7GxzHYeTIkS3vvfLKK5g0aRLi4+NhtVrx+uuvo7i4GL/4xS/8+ZEQP2lsbMSx0+dgGjwqoO748z4fvB43fF4PvB4PfF4P3E4HGm11aLRZ4bLXgzkbAI8TCqkYcgkHtVKBQaZghMWEwWhMhE6ng1arbXlpNBpIJAFxu4j4kV//hV966SV89NFHLV/fnDZm3759mDZtGpRKJdavX49nn30WLpcL0dHRePDBB7F69eqWbRwOBwoKCuDxeFre27hxI1auXIkZM2aA4zgsWrQIb775Zrdqq6urw4oVK1BRUQGDwYDU1FQcPXoUw4cPv8OzJkLIz89Htc2J5MkJQpfSSta3n0HqaQTHiSDmRBCLRJCIRdCqlIg3mxAxPB4hISEIDg6G0WiEXq+HSqUKqF8wRBgixhgTuoi+ymazQafTob6+nroDCeybb77Bp3tPIXXuI0KX0sqZA99gsNyBnz36CORyOaRSacsNNQrggamruUF/G5F+obK6GmJl8zc6z/PwuJrgdjrhcTXB43aB9/kglkgglkjBiSXf/78EYrEUUoUCYnHP/yi4nU1QG0Jx7VoufD5fh100CWkPhTPpF8oqqtFQU43sf34M3tMECSeClOMgEYsg4ZrHTuEZa37xAM8YfIyB5xm8TASxJgSG8EEIiYiBWh/c7atan8+LBksN6msqYa2pgNtWA85tR5BcguhQPV0lk26jcCb9wl3pE5E83Npyw0ytVkOlUkGlUkGpVEIsFsPj8bT7slgsKCgsxLmLBbh6OQcukRwKYwS0waGQSKUQS6TfX2U3/7i4nU1wu5rgdjbB1eRAU30NmMMKpUQEXZAcE2KiMThtEqKiohAZGQmDwUDhTLqN2pzvALU59y9erxclJSUoKipC3sUClJRVwuv1gWffX2nzzT8qUjEHuUwCnToIOq0G0RFmREVFISoqCmFhYdSTgnSqq7lB4XwHKJz7P5/P1+oqmzGGoKAgyOVyuhomt4VuCBLSA8RiMcRiMY31TXodzRFPCCEBiMKZEEICEIUzIYQEIApnQggJQBTOhBASgCicCSEkAFE4E0JIAKJwJoSQAEThTAghAYjCmRBCAhCFMyGEBCAKZ0IICUAUzoQQEoBoVLo7cHO0VZvNJnAlhJC+4mZe3Gq0ZgrnO9DQ0AAAiI6OFrgSQkhf09DQAJ1O1+FyGmz/DvA8j7KyMmg0moAYeN1msyE6OhrXr1/vk4P/U/3Covp7B2MMDQ0NiIiIAMd13LJMV853gOO4gJxRWavVBvQ3561Q/cKi+v2vsyvmm+iGICGEBCAKZ0IICUAUzv2IXC7Hyy+/DLlcLnQpt4XqFxbVH1johiAhhAQgunImhJAAROFMCCEBiMKZEEICEIUzIYQEIApnAfztb39DcnJyS2f5tLQ0fPvtty3Lf/nLX2LIkCFQKpUwmUxYuHAhLl682OX9/+pXv4JIJMJf//rXVu8XFhZi4cKFCAkJgVarxZQpU7Bv375W65SUlGD+/PlQqVQIDQ3F888/D6/X22fqF4lEbV6fffZZQNSfk5ODWbNmQa/XIzg4GE8++STsdnurdQL58+9K/UJ9/suWLWtz3Llz57Zax2KxYMmSJdBqtdDr9XjiiSfa1H/27FlkZGRAoVAgOjoa//Vf/9XVj63HUTgLICoqCn/+859x6tQpZGdn4+6778bChQuRl5cHAEhNTcWHH36I/Px8fPfdd2CMYfbs2fD5fLfc99dff43jx48jIiKizbIFCxbA6/Vi7969OHXqFEaPHo0FCxagoqICAODz+TB//ny43W4cPXoUH330ETZs2ICXXnqpT9R/04cffojy8vKW1/333y94/WVlZZg5cybi4+Nx4sQJ7Ny5E3l5eVi2bFnLOoH8+Xel/puE+vznzp3b6riffvppq+VLlixBXl4eMjMzsX37dhw8eBBPPvlky3KbzYbZs2cjJiYGp06dwuuvv47/+3//L959991bfm5+wUhAMBgM7L333mt32ZkzZxgAVlRU1Ok+SktLWWRkJDt//jyLiYlha9eubVlWXV3NALCDBw+2vGez2RgAlpmZyRhjbMeOHYzjOFZRUdGyzt/+9jem1WqZy+UK+PoZYwwA+/rrrzs9jhD1v/POOyw0NJT5fL6W986ePcsAsEuXLjHGAvvz70r9jAn3+f/85z9nCxcu7HD5hQsXGACWlZXV8t63337LRCIRu3HjBmOMsbfffpsZDIZWn/V//Md/sISEhG6eTc+gK2eB+Xw+fPbZZ2hsbERaWlqb5Y2Njfjwww8xePDgTke/43kejz32GJ5//nmMGDGizfLg4GAkJCTg448/RmNjI7xeL9555x2EhoYiNTUVAHDs2DGMGjUKYWFhLdvNmTMHNput5aomkOu/6emnn0ZISAgmTJiADz74oNOhGXurfpfLBZlM1mqgG6VSCQA4fPgwgMD+/LtS/01CfP4AsH//foSGhiIhIQFPPfUUamtrW5YdO3YMer0e48aNa3lv5syZ4DgOJ06caFnnrrvugkwma1lnzpw5KCgoQF1dXafH9gtBfiUQdvbsWRYUFMTEYjHT6XTsm2++abX8f//3f1lQUBADwBISEm551fOnP/2JzZo1i/E8zxhjba58GGPs+vXrLDU1lYlEIiYWi1l4eDjLyclpWb5ixQo2e/bsVts0NjYyAGzHjh0BXz9jjL3yyivs8OHDLCcnh/35z39mcrmc/fd//3eb4/V2/efPn2cSiYT913/9F3O5XMxisbBFixYxAOxPf/oTYyywP/+u1M+YcJ//p59+yrZu3crOnj3Lvv76a5aUlMTGjx/PvF4vY4yxV199lQ0bNqzNdiaTib399tuMMcZmzZrFnnzyyVbL8/LyGAB24cKFTo/vDxTOAnG5XOzSpUssOzubrV69moWEhLC8vLyW5VarlRUWFrIDBw6we++9l40dO5Y1NTW1u6/s7GwWFhbW8ucZY21/uHieZ/fddx+755572OHDh9mpU6fYU089xSIjI1lZWRljrHvhEIj1t+fFF19kUVFRbd7v7foZY2zjxo0sLCyMicViJpPJ2G9/+1sWFhbG/vznPzPGAvvz70r97emNz789ly9fZgDY7t27GWMUzuQOzJgxo803xk0ul4upVCq2adOmdpevXbu25Wry5gsA4ziOxcTEMMYY2717N+M4jtXX17faNj4+nq1Zs4Yx1vyDNHr06FbLr1y5wgC0uUINxPrbs337dgaAOZ1OQev/oYqKCtbQ0MDsdjvjOI598cUXjLHA/vy7Un97euPz70hISAhbt24dY4yx999/n+n1+lbLPR4PE4vFbPPmzYwxxh577LE27dZ79+5lAJjFYunWsXsCtTkHCJ7n4XK52l3Gmn+Jdrj8sccew9mzZ5Gbm9vyioiIwPPPP4/vvvsOAOBwOACgzeDeHMeB53kAQFpaGs6dO4eqqqqW5ZmZmdBqtRg+fHjA19+e3NxcGAyGWw6G4+/6fygsLAxqtRqff/45FAoFZs2aBSCwP/+u1N+e3vj821NaWora2lqEh4cDaP5srVYrTp061bLO3r17wfM8Jk6c2LLOwYMH4fF4WtbJzMxEQkICDAZDl4/dY3r91wFhq1evZgcOHGBXr15lZ8+eZatXr2YikYjt2rWLXb58mf3pT39i2dnZrLi4mB05coTde++9zGg0ssrKypZ9JCQktPzGb097vR2Cg4PZgw8+yHJzc1lBQQH77W9/y6RSKcvNzWWMMeb1etnIkSPZ7NmzWW5uLtu5cyczmUzshRde6BP1b9u2ja1fv56dO3eOXbp0ib399ttMpVKxl156SfD6GWPsrbfeYqdOnWIFBQXsf/7nf5hSqWzVHhvIn39X6hfq829oaGC//e1v2bFjx9jVq1fZ7t272dixY9nQoUNbXbHPnTuXpaSksBMnTrDDhw+zoUOHssWLF7cst1qtLCwsjD322GPs/Pnz7LPPPmMqlYq98847HX5O/kThLIDHH3+cxcTEMJlMxkwmE5sxYwbbtWsXY4yxGzdusHvuuYeFhoYyqVTKoqKi2KOPPsouXrzYah8A2IcfftjhMdr74crKymKzZ89mRqORaTQaNmnSpDZtmdeuXWP33HMPUyqVLCQkhK1atYp5PJ4+Uf+3337LxowZw9RqNQsKCmKjR49m69ata9X9S8j6H3vsMWY0GplMJmPJycns448/brNdIH/+t6pfqM/f4XCw2bNnM5PJxKRSKYuJiWErVqxo1SWRMcZqa2vZ4sWLmVqtZlqtli1fvpw1NDS0WufMmTNsypQpTC6Xs8jIyE7b0/2NhgwlhJAARG3OhBASgCicCSEkAFE4E0JIAKJwJoSQAEThTAghAYjCmRBCAhCFMyGEBCAKZ0IICUAUzoQQEoAonAkhJABROBNCSACicCaEkAD0/wP5+COG+4+S/AAAAABJRU5ErkJggg==\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Next, we can carry out the actual intersection.\n",
        "\n",
        "Here, we are following the `GeoPandas` documentation page on set operations: https://geopandas.org/en/stable/docs/user_guide/set_operations.html\n",
        "\n",
        "In this case, we will utilize the `.overlay()` function and specify \"intersection\".\n",
        "\n",
        "Inspect and understand the difference below once this intersection has been carried out.  \n"
      ],
      "metadata": {
        "id": "R_5w8vRRuVsf"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Example: Intersecting building boundaries for a region of interest\n",
        "buildings_subset = buildings.overlay(boundary, how='intersection')\n",
        "print(len(buildings_subset))\n",
        "buildings_subset.plot(edgecolor='k')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 484
        },
        "id": "XyIig3-MuWG3",
        "outputId": "6790ce0a-593e-46d0-ea66-652bfac24db3"
      },
      "execution_count": 41,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "594\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<Axes: >"
            ]
          },
          "metadata": {},
          "execution_count": 41
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Task\n",
        "\n",
        "Now carry out an intersection for two of the four sub-regions of Kasungu, Malawi. You will need to:\n",
        "\n",
        "\n",
        "\n",
        "*   Subset your boundaries.\n",
        "*   Intersect your building outlines.\n",
        "*   Print the number of buildings in the original and new df.\n",
        "*   Export your subset to `.shp` and view in a piece of GIS software.\n",
        "\n"
      ],
      "metadata": {
        "id": "mqr4Xu7Lzawz"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Symmetric Difference and Difference\n",
        "\n",
        "Symmetric difference produces the opposite of the intersection, so it only returns geometries which are part of one of the GeoDataFrames.\n",
        "\n",
        "\n",
        "\n"
      ],
      "metadata": {
        "id": "lSMv_gea44yQ"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Example: Symmetric Difference of building boundaries for a region of interest\n",
        "boundary = boundaries[boundaries['GID_3'] == \"MWI.9.1.7_1\"]\n",
        "boundaries.plot(alpha=0.5, edgecolor='k') #original df\n",
        "boundary.plot(alpha=0.5, edgecolor='k') #new df\n",
        "\n",
        "buildings_subset = buildings.overlay(boundary, how='symmetric_difference')\n",
        "print(len(buildings_subset))\n",
        "buildings_subset.plot(edgecolor='k')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "RgUWAFsD44hL",
        "outputId": "397824e9-3765-4191-ea5a-e8652ba9f8c0"
      },
      "execution_count": 45,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/geopandas/geodataframe.py:2451: UserWarning: `keep_geom_type=True` in overlay resulted in 1 dropped geometries of different geometry types than df1 has. Set `keep_geom_type=False` to retain all geometries\n",
            "  return geopandas.overlay(\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "5258\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<Axes: >"
            ]
          },
          "metadata": {},
          "execution_count": 45
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAAWcAAAGdCAYAAADOsbLyAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAABvXklEQVR4nO3deVxU970//tec2YfZYWDYBBEFXFDEDZSocY2amMSmibGxmtS0aby3SWx+1/TbJN/mNrW5Sb/2JvemJmYxaTRbY9QaY8R9VxBxQQRxAZGdYRiGYdbz+f1BpCEsgjKcAd7Px2MeCXO29xnhxeFzPufzETHGGAghhAQUTugCCCGEtEXhTAghAYjCmRBCAhCFMyGEBCAKZ0IICUAUzoQQEoAonAkhJABROBNCSACSCF1AX8bzPMrKyqDRaCASiYQuhxDSBzDG0NDQgIiICHBcx9fHFM53oKysDNHR0UKXQQjpg65fv46oqKgOl1M43wGNRgOg+UPWarUCV0MI6QtsNhuio6Nb8qMjFM534GZThlarpXAmhHTLrZpC6YYgIYQEIApnQggJQBTOhBASgCicCSEkAFE4E0JIAKJwJoSQAEThTAghAYjCmRBCAhCFMyGEBCAKZ0IICUAUzoQQEoAonAkhJADRwEeEkC5xuVyw2+2QSCTQ6XRCl9PvUTgTMsDxPI+amhrY7XY0NDS0/LehoQF19TbU1tXDWt+ARqcTbi+PUF0Q/vP/vkgTTPgZhTMhA5jb7cYnGzfh+Jl8uLw8PD4eEEshkirByRQQy1VQKPWQhURAqQqCr64W9dUF8Hq9kEqlQpffr1E4EzJAuVwufPT3T7AvpxCDxk6F1miCXKmCWNJx6FaKL8NWdZHCuRdQOBMyADmdTnz40cc4cOYyhk2eB0NoeJe248QS8Dzg8XigVCr9XOXARuFMyADT2NiIDR//HYfPFyPxrgXQBYd1eVuxWAyeMXg8Hj9WSAAKZ0IGlNLSUmz4ZBPOl9Yh6a4F0BpN3dqek0gpnHsJhTMhAwBjDNnZ2dj41VZU+4IweuZDUASpu70fiUQKH8/gcrn8UCX5IQpnQvo5j8eDbdv+iW/2H4fEPBRjU6eAE4tva19yVRA8Pga73d7DVZIfo3AmpB+zWCz4ZNOnOHahGFGjpyAiLvGO9ieRyuADh4aGhh6qkHSEwpmQfsTj8aCkpARXrlxBwaUiFFy9jhq3BEnT7ofGEHLH+xeJRBDLlRTOvYDCmZA+jOd5lJWV4cqVKyi8VIQLRVdhsTvhggxygxnBcRMwdlA8JDJZzx1USuHcGyicCRFIdXU1HA4HwsPDIetmeNbV1eH06dM4fDwLxRW1cPhEkOrMMIYnI84cBbXe6LfHqyVyFWrrrH7ZN/kXCmdCBMAYw7sfbMDl0mpolBLERkUgfnAMIiMjERkZCZPJBI5rPWikz+dDQUEBTmRlIfvcRViaeKjDhyBy4iToQsLarO8vQXojrpRcBWOMxtfwIwpnQgRQUlKCKzeqYRwxGbzPh/O1lcjelwvWdABBcjGMahWGxEZhcMwghIeHo6KiAoeOn8S1ijr4lEaY4ydh7KAhkEh7sLmii/QhZlRfP4fa2lqEhNx5OzZpH4UzIQI4e/YsHJBhRFwiRCIRojESAOD1uGGrrUJ9bSWOFFdi/7mD4DxN8HFSaMLjMOSu6dAYggWtXRcShmsuL27cuEHh7EcUzoT0Mp/Ph5Onz0IXMaRNs4BEKoPRHAWjOarlPVeTAxKZDGJxYPy4SmVyQKFFaWkpRo8eLXQ5/RbNhEJIL7ty5QquV1sRPnhYl9aXK1UBE8w3ybQhuFpcInQZ/Vpg/YsT0o8wxmCz2VBZWYnKykpUVFSguLQc18sr4ZFoeqTfsVD0pjAUFefC6/VCIqEY8Qf6VAnpQT6fD1evXsXZs2dx6twF1FrtcLi98Iok4FR6KHXB0MSkYmRUbJ/u6aAPMaOk0I3y8nJER0cLXU6/ROFMyB3ieR4lJSU4d+4cTp4+i9JqK1ziIOgj42AYFIZBhhAoVOo+HcY/ptYHw+FhKC0tpXD2EwpnQm4DYwxlZWXNgZxzpvlBEJEc+oghiJ0yDRpDSL8K4x/jxGKINUaUlFxHWlqa0OX0SxTOhHRDTU3N94Gci6KSCth5CTTmWEROnAS9ydyvA/nH1IYwXLpGNwX9hcKZkFtgjOH06dM4cuw48opKUO9mUIXGIDx1NhLDInvtybxAozOZUXahEA0NDdBoNEKX0+9QOBPSCbfbjS1btmLHoZNgukiEj5yK+MiYgOvaJgR9iBll3z+Mkph4Z0ORkrboO4yQDtTU1ODjjZuQVXgDg1KmwxwTL3RJAUURpIaPk6GiooLC2Q8onAlpR35+Pj7+9Etcs/EYPu0BqPVGoUsKSGKVDhUVlUKX0S9ROJMBqbCwEF9v+wYadRCMei00Gk3Lq7KyEl9/tw8udQTGzprRs2Mh9zNKrRElN8qELqNf8tudjFdffRXp6elQqVTQ6/VtltfW1mLu3LmIiIiAXC5HdHQ0Vq5cCZvN1ul+LRYLlixZAq1WC71ejyeeeKLVfGZOpxPLli3DqFGjIJFIcP/997fZx/79+yESidq8Kioq7vS0SR+Rm3sG2ddqkV3hxTdnSvHp3hys+3In/uudT7Bhy27IY1KQnDGXgvkWNIYQ3Kisodm4/cBvV85utxsPPfQQ0tLS8P7777dZznEcFi5ciD/+8Y8wmUwoKirC008/DYvFgk2bNnW43yVLlqC8vByZmZnweDxYvnw5nnzyyZZtfD4flEol/v3f/x1fffVVpzUWFBRAq9W2fB0aGnqbZ0v6EsYYzhdcQsigoRiW0rqPLu/zgff5KJS7SK0Pxg2XBzU1NQgPDxe6nH7Fb+H8hz/8AQCwYcOGdpcbDAY89dRTLV/HxMTg17/+NV5//fUO95mfn4+dO3ciKysL48aNAwC89dZbmDdvHt544w1EREQgKCgIf/vb3wAAR44cgdVq7XB/oaGh7V7Vk/6tqqoKFbX1CB07sc0yTiy+7ZmpByK1zgiH24eqqioK5x4WMB00y8rKsHnzZkydOrXDdY4dOwa9Xt8SzAAwc+ZMcByHEydOdPuYY8aMQXh4OGbNmoUjR47ccn2XywWbzdbqRfqeK1euwO7moQ+lMLlTEpkMkKlQW1srdCn9juDhvHjxYqhUKkRGRkKr1eK9997rcN2Kioo2TQ8SiQRGo7Fb7cXh4eFYt24dvvrqK3z11VeIjo7GtGnTkJOT0+l2a9asgU6na3nRmAJ9j9PpxNETJyHVhVFf5R7CyRSt7vuQntGtcF69enW7N9J++Lp48WK3Cli7di1ycnKwdetWXL58Gc8991y3tr8dCQkJ+OUvf4nU1FSkp6fjgw8+QHp6OtauXdvpdi+88ALq6+tbXtevX/d7raTn+Hw+bNz0KbIulSM+dYrQ5fQbnFQJm41m4+5p3bp0WLVqFZYtW9bpOnFxcd0qwGw2w2w2IzExEUajERkZGXjxxRfbbb8ym82oqqpq9Z7X64XFYoHZbO7WcX9swoQJOHz4cKfryOVyyOXyOzoOuTMulwsbN32KkGAjkpOTERMT06XxLBhj2LJlK/ZkX8DQ9HlQ66jfck+RKpSoq6cmvp7WrXA2mUwwmUz+qgU8zwNo/gFsT1paGqxWK06dOoXU1FQAwN69e8HzPCZObHtzpztyc3PphkYfkJmZiczsfEAiw9bdhzE4IgQTU1OQlJSEiIiIDse52L9/P7btO4rIMVNhDIvs5ar7N7lChTobdUPtaX5rdCspKYHFYkFJSQl8Ph9yc3MBAPHx8VCr1dixYwcqKysxfvx4qNVq5OXl4fnnn8fkyZMRGxsLADh58iSWLl2KPXv2IDIyEklJSZg7dy5WrFiBdevWwePxYOXKlXjkkUcQERHRcuwLFy7A7XbDYrGgoaGh5dhjxowBAPz1r3/F4MGDMWLECDidTrz33nvYu3cvdu3a5a+Pg/SA4uJifLP3MMISxmFQYjKs1eUovlqIvK17EbQ9E2FGLZITh2Ho0HgMGTIEOp0OQPMv3k+37oQ2biwiBicIfBb9j0wZBGuZHYyxATUqn7/5LZxfeuklfPTRRy1fp6SkAAD27duHadOmQalUYv369Xj22WfhcrkQHR2NBx98EKtXr27ZxuFwoKCgoFUH940bN2LlypWYMWMGOI7DokWL8Oabb7Y69rx581BcXNzm2IwxAM19sFetWoUbN25ApVIhOTkZu3fvxvTp03v+gyA9wuv14ouvvoZNrMPYhFEQiUQwhEbAEBoBnr8L9TWVqCkrxrbsIuDASWgVEsQPisDQuFjsPXISvDEWg0emCn0a/ZJcqUKD24OmpiaoVCqhy+k3ROxmYpFus9ls0Ol0qK+vb/UwC+l5u3fvxgebv0PS9EW3HOfC7XLCUn4dNeUlaKopg1RtQPJd91D/ZT+pqypD+clv8er/WUUPcnVBV3OD+hKRgFdRUYFtu/bBMGR0lwYgkskVMMcOhTl2aC9UR+TKILh9POx2O4VzDxK8nzMhneF5Hv/YvAXVHhniRlCzRCCSK1Xw+Hg0NFB3up5E4UwC2rlz55B14TKGjptGzRIBSiyRgnESehClh1E4k4Dl9Xqx47vdgD4SBnrUOqCJFUGor68Xuox+hcKZBKycnBxcKC5H/OhJQpdCbkEkC0JdnVXoMvoVCmcSsKxWK3wQweejsYIDnVylRpWlTugy+hUKZxKwpk+fjimj4nHxyHfwuNt/apQEBqVag6oai9Bl9CsUziRgSaVSPPrIw4g1SFF4qvNxT4iwlEFa2OwONDU1CV1Kv0HhTAKaXq/HQwsXwFt1BdU3im+9ARGEWh8Mh9vbZmAycvsonEnAGzt2LKaOH4mrp/ZT80aACtLq4fKBwrkHUTiTgCcSifDg/fcj1iBHQfYhocsh7eDEYogUzTOXk55B4Uz6BJ1Oh7kzpqKx/DJ4n0/ockg7pGoDSsvKhS6j36BwJn2GxWKBOEhPTwoGKH2IGQVXSlqNIkluH4Uz6RMYYzh/8RI0ITRQfqAymiNhbXTS9G09hMKZ9Am1tbUoraqFMTxK6FJIB9T6YDiZFNeuXRO6lH6Bwpn0CVevXkWDi4chNOLWKxNBiEQiyAyhKCy6LHQp/QKFMxFcUVERampqbrHOZXDqYEiksl6qitwOY1gULl4uhtvtFrqUPo/CmQjK4XDgb+99hNfW/g/OnDnT4XrnLl6CLpTamwOdMSwK1kYXSkpKhC6lz6NwJoK6cOECKmxNqBYb8dYHG7Fly9Z27/brNGq4HI0CVEi6I0hngEsko3bnHkDhTAR1+sxZcNowjM6YC11iOr7YdQT/+7d1OHjwIAoLC1FfXw/GGFLHjEJjVTF4nhe6ZNIJkUgEucGMgkvU7nynaA5BIhibzYYz+UUIi58IAIiKHw5dcBhyTh/GycIdkDAvguQSGLVqhOg1UEt4WCpKERIxSODKSWeCzVEouJIFp9MJhUIhdDl9FoUzEcz58+dhafJgTHRcy3saQzBS7l4IxhicDjsaLNWor6tFaW0NPFwQOI7+2At0hrBIXLpwBMXFxUhISBC6nD6LwpkI5tTpXMiMUZDK5G2WiUQiKIM0UAZpEPqD8CaBT6XRwcMpKJzvEF2GEMFcvV4GvYn6Lfc3IpEIMp0J10roScE7QeFMBCOVSMEY3eDrj3QhZly6eh0+GqTqtlE4E8FIpRIaYa6f0oWEoc7uoPGd7wCFMxGMTCaFz0sjmPVHWqMJDjeP0tJSoUvpsyiciWBkUildOfdTYokUoiADjVB3ByiciSAYY81Xzj6v0KUQPwkyhKLw8jWhy+izqCsd8Tu3241vv/0WFVXVqG+ww9bQiIZGB5weLxASL3R5xE/0pnCUFFxGY2MjgoKChC6nz6FwJn7FGMO2bf/EV3tPQGGKgUyhgUwTCmmIAgaFkoYA7cf0oeGoOOPF9evXkZiYKHQ5fQ6FM/GrnJwc7Dh4AlFjMhAxmB5IGEiUQRp4xQoK59tEbc7Eb8rKyvDJl1sgDo2nYB6gZDoTrlwrFrqMPonCmfhFU1MTPt74GSo9ciSMmyJ0OUQgOlM4Cq+U0MMot4HCmfQ4xhi+2rwZZ65VY+SUuRCLqfVsoNKbwmFtdKKiokLoUvocCmfS444ePYpdR08jdtw0KNVaocshAtIaQuDwMOrvfBsonEmPunDhAj7d8g2CYkYhNGqw0OUQgXFiMcSaYBQX07RV3UXhTHrM2bNn8fYHn6BRFY740ROFLocECE2wGflFl8EYE7qUPsWv4fzqq68iPT0dKpUKer2+zfLa2lrMnTsXERERkMvliI6OxsqVK2Gz2Trdr8ViwZIlS6DVaqHX6/HEE0/Abre3LN+/fz8WLlyI8PBwBAUFYcyYMdi4cWOb/Xz55ZdITEyEQqHAqFGjsGPHjjs+54EqJycH73z0KZq0URiZPosGxSctgsOjUVZtpUGQusmvP0FutxsPPfQQnnrqqfYPznFYuHAhtm3bhsLCQmzYsAG7d+/Gr371q073u2TJEuTl5SEzMxPbt2/HwYMH8eSTT7YsP3r0KJKTk/HVV1/h7NmzWL58OZYuXYrt27e3Wmfx4sV44okncPr0adx///24//77cf78+Z45+QHk5MmTePfvX8BtGIwRk2ZQMJNW9KHhaHAzFBUVCV1KnyJivfC3xoYNG/DMM8/AarXect0333wTr7/+eoc3EPLz8zF8+HBkZWVh3LhxAICdO3di3rx5KC0tRURE+0+czZ8/H2FhYfjggw8AAA8//DAaGxtbBfakSZMwZswYrFu3rkvnZbPZoNPpUF9fD612YN74Onr0KDZ8sRWisGFISJ0CkUgkdEkkAJ3etx1T4w144vHlQpciuK7mRkBd4pSVlWHz5s2YOnVqh+scO3YMer2+JZgBYObMmeA4DidOnOhwu/r6ehiNxlb7mTlzZqt15syZg2PHjnW4D5fLBZvN1uo1UHm9XmzZshXvfbYF4ojhFMykU8bwQThfeAUul0voUvqMgAjnxYsXQ6VSITIyElqtFu+9916H61ZUVCA0NLTVexKJBEajscO+lF988QWysrKwfPm/fmtXVFQgLCys1XphYWGd9sdcs2YNdDpdyys6Ororp9fvWK1WvLP+PXyReRiGpHQMS0mjYCadCo2KRY2tCYWFhUKX0md0O5xXr14NkUjU6evixYvd2ufatWuRk5ODrVu34vLly3juuee6W1aH9u3bh+XLl2P9+vUYMWLEHe3rhRdeQH19fctrIPbdvHz5Mv7fm/+LQ/k3kJCxEFHxw4UuifQBSrUWfJAR587RPZ2u6vajW6tWrcKyZcs6XScurnuzJZvNZpjNZiQmJsJoNCIjIwMvvvgiwsPD2133x3d9vV4vLBYLzGZzq/cPHDiAe++9F2vXrsXSpUvb7KeysrLVe5WVlW328UNyuRxyeduZogeKrKwsbPhsMxpkwUiZtQAyhVLokkgfEhI1BNnnzmORyzWgf466qtvhbDKZYDKZ/FELAIDnmyf87KhtKi0tDVarFadOnUJqaioAYO/eveB5HhMn/qtv7f79+7FgwQK89tprrXpy/HA/e/bswTPPPNPyXmZmJtLS0nrwbPoPp9OJf2zdAaduEEZPnE49Mki3hcXE40JBFgoKCpCcnCx0OQHPr4MelJSUwGKxoKSkeeCT3NxcAEB8fDzUajV27NiByspKjB8/Hmq1Gnl5eXj++ecxefJkxMbGAmjuprV06VLs2bMHkZGRSEpKwty5c7FixQqsW7cOHo8HK1euxCOPPNLSU2Pfvn1YsGABfvOb32DRokUt7cgymazlpuBvfvMbTJ06FX/5y18wf/58fPbZZ8jOzsa7777rz4+kz8rNzcV1ix2j5txLwUxuizJIAxYUjDNnz1I4d4Fff8peeuklpKSk4OWXX4bdbkdKSgpSUlKQnZ0NAFAqlVi/fj2mTJmCpKQkPPvss7jvvvtadW9zOBwoKCiAx/OviUA3btyIxMREzJgxA/PmzcOUKVNahepHH30Eh8OBNWvWIDw8vOX14IMPtqyTnp6OTZs24d1338Xo0aPxj3/8A1u2bMHIkSP9+ZH0SYwxHDhyDHLTIChUaqHLIX2YadBQZJ3NH9A9nbqqV/o591cDpZ9zYWEh1ry1HoPS7oXe1HGbPCG34nW7kbPj7/jFg7MxY8YMocsRRJ/s50wCz4ULF/DJZ1/CozBAFxJ26w0I6YREJoMmcij2Hzne6q9h0haFM2mX0+nEV19txtp3PkKJOwgjM+ZRX2bSIwYlJONapRXnzp0TupSARqOgkzauXbuGTZ9/iXMlNYgclY6IuEQKZtJjgrR6cPoIHDxyFCkpKfS91QG6ciatVFVV4b//9h7yLTxGzXwIkUOS6IeH9LjohGScvVSCS5cuCV1KwKJwJq2cOHEC5Q4eY6bfR7OYEL8xmqPgVhiwa/deGue5AxTOpIXT6cSh46cQHJMETiwWuhzSj4lEIsSOnICci1dovI0OUDiTFrm5uSita0TU0Dsbg4SQrmi+ejZi1+49dPXcDgpnAoAeNCG9TyQSYfCoCci5eBUFBQVClxNwKJwJAKCoqAgF18oRPYweqyW9x2iOglcVQlfP7aBwJgCaw9kpVtITgKTXxY6agNMF17o91HB/R+FMAAANDQ3g5CrqNkd6nTEsEt4gE3Zm7qar5x+gcCYAgPoGOyRyldBlkAFq8KiJOFNYggsXLghdSsCgcCYAgDqrjQbPJ4IxhIaD14Thu917WsZ0H+gonAkAwNpgh1xJV85EOIOTJ+LMpevIz88XupSAQOFM4PP5YG9shExB4UyEow8JA682Yd+BQ9T2DApnAqCxsRFuL6MrZyK46MQU5BZcQXFxsdClCI7CmaCxsREeH09tzkRwIRGD4BCrcfDQIaFLERyFM4HNZoPHx0OuCBK6FDLAiUQiRAwbg2On81BVVSV0OYKicB7AGGM4d+4cPv70C7jFSrpyJgEhPHYorB4xjhw5InQpgqJwHqAcDge++OJL/HX931HODEiZ/RCNREcCAicWwzRkJA6cyEFDQ4PQ5QiGwnkAunTpEt7461v4+mAOgkfehVFTZkMmVwhdFiEtooaORGWDGydPnhS6FMHQNFUDBGMMV65cwaEjR3A0Jw9OpQmjZ/+URqAjAUkqk0MbNQz7Dh9DRkYGZDKZ0CX1Ogrnfs7j8eDcuXM4cPgIzhVdh1OiQeTwKUiMHUbjaJCAFpM4GhcyLyI3NxcTJkwQupxeR+HcT9ntdmRlZWHfoaO4WlkHTh+JQePnwhAWSaFM+gSlWgupaRD27D+I1NRUiAfYPREK537I4XDgz39Zi8tVdqgj4pFw9ywEafVCl0VItw0ekYoLBzbj7NmzSElJEbqcXkXh3A/l5ubiSqUNyXMWU5sy6dM0hhCIDZHI3Lsfo0ePBscNnD4MA+dMBwjGGI4cP0nTTZF+I3bkOORdvYHz588LXUqvonDuZ65du4aL18oQFU+TtJL+QRccBmgjsHvf/gE1IBKFcz+TlZUNB6eCISxS6FII6TGxI8fhzKXrOHfunNCl9BoK534m/9Jl6CMGU48M0q/oTWaI9BH4ZmcmvF6v0OX0CgrnfkYilQpdAiF+MWRMGvKKK5CVlSV0Kb2CwrmfUchk8Hk9QpdBSI9T64xQhA3BN7v2wOl0Cl2O31E49zNymRT8APmzjww8Q0ZPwOVKGw4ePCh0KX5H4dzPyOUy+HwUzqR/UqjUMA5Jxrd7D6Gurk7ocvyKwrkf4XkepeUVkNNcgKQfi00ag3I7j127MoUuxa8onPuRK1euoKSyDubBQ4UuhRC/kUhliBo5AXuPn8L169eFLsdvKJz7kdzcM3CJg6A1hgpdCiF+FRGXCDunwfYd3/bbB1MonPsJt9uNrNzzMETHUx9n0u+JRCIMHp2GE+cv4ezZs0KX4xd+DedXX30V6enpUKlU0Ov1bZbX1tZi7ty5iIiIgFwuR3R0NFauXAmbzdbpfi0WC5YsWQKtVgu9Xo8nnngCdru9Zfn+/fuxcOFChIeHIygoCGPGjMHGjRtb7WPDhg0QiUStXgpF350NpKCgAGV1DQiPHSZ0KYT0iuDwaHDGGHy55Z+tfv77C7+Gs9vtxkMPPYSnnnqq/YNzHBYuXIht27ahsLAQGzZswO7du/GrX/2q0/0uWbIEeXl5yMzMxPbt23Hw4EE8+eSTLcuPHj2K5ORkfPXVVzh79iyWL1+OpUuXYvv27a32o9VqUV5e3vIqLi6+85MWSO6ZM+BVRhoalAwow1KnoKi6Ed98s0PoUnqciPVCg82GDRvwzDPPwGq13nLdN998E6+//nqHDf35+fkYPnw4srKyMG7cOADAzp07MW/ePJSWliIiIqLd7ebPn4+wsDB88MEH3a6pIzabDTqdDvX19dBqtbe9nzt1/fp1vPbmOkgGpSAmMVmwOggRQvnVQljyDmLVr5YjKSlJ6HJuqau5EVBtzmVlZdi8eTOmTp3a4TrHjh2DXq9vCWYAmDlzJjiOw4kTJzrcrr6+HkajsdV7drsdMTExiI6OxsKFC5GXl9dpfS6XCzabrdUrEHy1ZSvqoEb0UBqJjgw85tih8KjD8cXmrXA4HEKX02MCIpwXL14MlUqFyMhIaLVavPfeex2uW1FRgdDQ1r0RJBIJjEYjKioq2t3miy++QFZWFpYvX97yXkJCAj744ANs3boVn3zyCXieR3p6OkpLSzs89po1a6DT6Vpe0dHR3TzTnudyuXClpAzhQ4aDG2DT+BACNN8cTJwwFfnl9fjyq6/6Te+Nbofz6tWr29xI+/Hr4sWL3drn2rVrkZOTg61bt+Ly5ct47rnnultWh/bt24fly5dj/fr1GDHiX1eWaWlpWLp0KcaMGYOpU6di8+bNMJlMeOeddzrc1wsvvID6+vqWVyD0sSwsLITV4YbeZBa6FEIEo1CpETfubuw5fgZHjhwRupwe0e1pqlatWoVly5Z1uk5cXFy39mk2m2E2m5GYmAij0YiMjAy8+OKLCA8Pb3fdqqqqVu95vV5YLBaYza0D6sCBA7j33nuxdu1aLF26tNMapFIpUlJSUFRU1OE6crkccrm8G2fmX4wx7D94CEwThiCtQehyCBGUKTIGdVWj8Pm2bxEdHY2YmBihS7oj3Q5nk8kEk8nkj1oAND+CDDT/ud6etLQ0WK1WnDp1CqmpqQCAvXv3gud5TJw4sWW9/fv3Y8GCBXjttdda9eToiM/nw7lz5zBv3rweOIvecfXqVeQWXEPMuDlCl0JIQIgfPRGn95Tj402f4bl/X4mgoCChS7ptfm1zLikpQW5uLkpKSuDz+ZCbm4vc3NyWPok7duzAhx9+iPPnz+PatWv45ptv8Ktf/QqTJ09GbGwsAODkyZNITEzEjRs3AABJSUmYO3cuVqxYgZMnT+LIkSNYuXIlHnnkkZaeGvv27cP8+fPx7//+71i0aBEqKipQUVEBi8XSUtsrr7yCXbt24cqVK8jJycHPfvYzFBcX4xe/+IU/P5IedeDQITilWhjNUUKXQkhA4DgOIybPRt6Neny9ZUufbn/2azi/9NJLSElJwcsvvwy73Y6UlBSkpKQgOzsbAKBUKrF+/XpMmTIFSUlJePbZZ3Hfffe16o/scDhQUFAAj+dfYxRv3LgRiYmJmDFjBubNm4cpU6bg3XffbVn+0UcfweFwYM2aNQgPD295Pfjggy3r1NXVYcWKFUhKSsK8efNgs9lw9OhRDB8+3J8fSY+pqKjAidx8RCaMoScCCfkBhUqN2JQM7D1+pk9Pa9Ur/Zz7KyH7OX/55T+w+dAZjJu/ZEBNF09IV509/B0iuXr8x3O/gUajEbqcFn2ynzPpmrKyMuw/cQphQ0dTMBPSgcRxd6GoxoGt27b1yeYN+snuY3w+H778ajPqeBU9dEJIJ2QKJUyDR+If32Ti2LFjQpfTbd3urUGEdeTIEWRdLEZCxkJ66ISQDjTarDj2zRe4euEURDIVPtr0OUaOHCnoMAvdRVfOfUhVVRW+3pEJzaAR0AbTmM2E/JjT0YhDX/8dn76+GsVXCpCQPhc/Xfl72ERqfPbFly1ddfsCunLuI86fP4+NX2xGhUuM1OTxQpdDSEBxu504vWc7zp/YB8ZJETduGibePRdBGj0AYOikWTh49BsM3rMHs2bNErbYLqJwDnAejwfffLMD3+w7Cq8uCikzp0EskQpdFiEBwev14uyhnTh76Dt4eCB6+ASkzZwHnbH1g3KG0AgYh47FVzv2IDY2FkOHBv5UbhTOAayyshIbP/sc2QWlCB+Zhsj44dSnmRA0P0l84cR+5Oz7J5xON8KHJWPSzAUwmSM73CZ2+FjkVpXjo02f4/ln/g06na4XK+4+CucAdfHiRaz/aBPKXRIkTX8Qar3x1hsR0s/xPI/LZ08ia9dm2O12mAYnYcbd8xEZc+vxfEQiEUakzcDpXV/i08+/wIonHoc4gG+qUzgHqAOHDqPMo0TqrPuoGYMQANfyz+Dkzi9htdTAEBWP2fcvQ+yw7j3RK1MokZA2G0eO/BMjjh5FRkaGn6q9cxTOAcjtdiO/6BrMsWMomMmA5bDbUJyfi9JLeagqvQq7rR5acwymPfxLDB0xGiLR7XU205vMCIoejq93ZCIpKQkhISE9XHnPoHAOQCUlJbA2ujCEBjQiA4y93oJzhzNx9UIO7FYLIJZCqQtG8KAkjE0YgcQx4247lH8ofvQEnNp5FV99vQVP/uKJgLyXQ+EcgK5evQo3J6cxmsmA4PV6UXwhB+eP7UXl9SvgZCqExSVhRMZ8DIpPgD7Y1COB/ENiiRTx46bhyPEdSMnKwoQJE3p0/z2BwjkAFVwqgkwfFpC/zQm5XTzPo6GuGlXXr6K69BpqK26gwVKJRpsVTCRGUEgERs94ECPHTWrpn+xPRnMUys1D8dW2bzFs2DDo9f4/ZndQOAcYp9OJwqvXETyYHjQh/UNJ4Xmc3vtP1JRfh9frhUgsgVimgCbYjODBIxAfGo7w6FhEDY7v8SvkW0kYOxmndn6KLdu24eePPRZQF0QUzgHE4/Fg165dsDS6kETtzaQP43kel3KP48yBHairrYbaFInEyXMRHBYJU3gkjKbQXg/i9khkMsSlTsWBrEyMST6DMWPGCF1SCwrnAFFcXIzP/7EZuZfLEJo4CSpNYHeQJ6Q9Xq8XF0/uR+7B7+BotEMfMRh3LboPw5JTA7ZPsSkyFhVXY/Dlln9iyJAhATP2M4WzwNxuNzIzM7F9zyE0SHQYPuMndCOQBCye51F+rRAyuRIGUzgkMhkAwOt249yxPTh3ZBecThdCYhIw+cGZiB2aFBBXyLeSMC4Dp7/7DNu3f4NHHnk4IJo3KJx7UWlpKbKysmC3N6K+wY56eyOs9Q0orXMgLHE8hiYmB8Q3BSE/xPM8SosuoCD7EEqLLsDj9oCBAYyHQqmCUq1Fk90Gl9uLsCEjMP2uWYgeHPhjV/yQTKFEzOgp2H3sAJKTR2HECOHHSqdw7kWnT5/Gxu+OQmWMgFShgEweDKkpEiNTh1AzBgk4N65cREHWIZRcOg+XywW5xoDoUWkYMmI0GM9Qb6mGrc6CBqsF2ggJUibfjbDIGKHLvm1hMfGoKL6EL77ehv8YPBgqlUrQeiice5HP54NCY0TK9PkAAMYYXSmTgHQx+xAObP4Ycm0wwhPHYVjyWAwakhiw7cY9QSQSIWnCVJz57gvs2PEtfvKTRYLWQ+Hci3w+H0Qch6bGBhRmH4TTVofUuT+FRCoTujRCWqkpK4FMY8Bjv/3PATWEgFwZhMhRk7Dr8FEkJ4/CsGHDBKsl8Fvq+xGfzwdbnQXnMr9AnMoNs4rH9cK+O3U76b/sVguUGt2ACuabIuIS4VSa8MXmLXA6nYLVQeHci0QiEaI0HJbck4H/77nfYMbkiaguOguv2y10aYS00lhfB0UvPKUXiEQiERInTkdeSS12794tWB0Uzr1oxowZePH532DBggVQKBSYOnUqwjVSFF88I3RphLTidDRAPYC7dCqDNDANS0HmwWOoq6sTpAYK515kNBphNptbvtZqtZh1Vxpqr5yDx+0SsDJCWmty2KHW6YUuQ1DRw0ai0sHjwIEDghyfwllgU6ZMQZhGghtFF4QuhRAAgLPRDp/HO+DDWSKVIWzoGOw9mgWLxdLrx6dwFphGo8Hk1DGoupIHxpjQ5RCC+tpKgOOg0Q3cZo2booeNRFUTw/79vX/1TF3pAkBa2iTsOpKFmrJimCJjb2sfPp8XV8+fgq2mAmKZAjKFEjK5EjKFEoogNXQhZsjkip4tnPRLDXU1EHFiaGneSoglUoQNHYN9x7Nx110ZvTprCoVzAIiMjMToYYNxsvDcbYVzXVUZLmXtR5jCi3uSh6OxyQmrrQH1DZVoqHTA4vGh2OkBlDooDWEwhIbDEBYJZVBgDPBCAktDXQ3AcVDTlTOA5qvn7EtnkZm5G4sXP9Jrx6VwDgAikQhT0ifh+LufoNFW1+WBj7xuNwpPH4WrvBB3JQ/DogfuR2hoaKt1eJ5HfX09SkpKUFxcjIKiq7hWeAyVZz3wSpSQqI1Q64wI0huh0QcjSGsA14+fAiO3Zq+zQK5UQ0oPRwEAxGIJokZMwP6TRzBlymRER0f3ynEpnAPEyJEjEW3SofxqIeJHT7zl+tU3inHl1H7E6GR4cOlDGD9+PDiu7S0EjuNgMBhgMBgwevRoAEBjYyOuX7+OkpIS3CgvR0lpOaoKLqLW7YPTy0Ok0CBqxHiYY+J7/DxJ4LPbLFCoaayXH4qIS0B24Rns2Pldr805SOEcICQSCZLiY7E7v6rT9Xw+LwpPHYGrvBBzxo/EAwsXdnt6naCgICQmJiIxMbHlvaamJlRVVaG6uhpHjh7DqSsFFM4DlMNWD4XWJHQZAUUkEiE2eRJO5mRi5pUrGDJkiN+PSb01Akh0VBQ8ttoOe2001NXg1HdfQm2/jl8/9hMsW7q0x+Y9UyqViImJwbhx45CUmACfw9oj+yV9j7OpAUFaunL+sZCIQWiSaHHg4KFeOR5dOQeQyMhISJkbzsYGKNXalvfdLiduFOWh9tJpTEiIxpJHHm7TttyTQkNDwVx2eD1uGpRpAHI5HAjSaG+94gAjEokQlTgGJ88exryKilYPlPkDhXMAiYiIgFouQX1tFWQKJapLr6HiWiE8dWUICZJiyfxpmD17NiQS//6zhYaGQiUTw15fB31ImF+PRQKLvd4Cj8cDXTA1a7QnLCYe18+fwOHDR/w+pCiFcwBRq9Uwm4zIzT2OktMHoJOJMH5oLMbduwgjR46EWq3ulTpMJhOC5BLYrbUUzgNMVelViMRiBIdGCF1KQOI4DqHxo3DwZA5mzZoJnc5/zT8UzgFm7KgRUMguYfzY0Rg1alSvdnq/SSqVItwUgqvW2l4/NhFWzY1icBI5QsL8+yd7XxYVPxynL2bj/PnzmDx5st+OQ+EcYBYsmI8FC4SuAoiJikBebrHQZZBeZqm4gSCDaUCO49xVEqkMUkM4zuVd8Gs4+7W3xquvvor09HSoVKp2exXU1tZi7ty5iIiIgFwuR3R0NFauXAmbzdbpfi0WC5YsWQKtVgu9Xo8nnngCdru9ZXlBQQGmT5+OsLAwKBQKxMXF4fe//z08Hk+r/Xz55ZdITEyEQqHAqFGjsGPHjh457/4gJmYQvA214H0+oUshvchWWwmN0X83m/sLU3QczhVcQUNDg9+O4ddwdrvdeOihh/DUU0+1f3COw8KFC7Ft2zYUFhZiw4YN2L17N371q191ut8lS5YgLy8PmZmZ2L59Ow4ePIgnn3yyZblUKsXSpUuxa9cuFBQU4K9//SvWr1+Pl19+uWWdo0ePYvHixXjiiSdw+vRp3H///bj//vtx/vz5njn5Pm7QoEFQSQBbXY3QpZBewvM87PV1MJjoPsOtmCJjYW3yoqCgwG/HELFeGAptw4YNeOaZZ2C1Wm+57ptvvonXX38d169fb3d5fn4+hg8fjqysLIwbNw4AsHPnTsybNw+lpaWIiGj/RsZzzz2HrKwsHDrU3Efx4YcfRmNjI7Zv396yzqRJkzBmzBisW7euS+dls9mg0+lQX18PrbZ/dT3y+XxY/dIrcIcOR+zwFKHLIb3AZqnGp3/5P5j60xVIHD1e6HICXs7urzFjRDiWLV3are26mhsB9RBKWVkZNm/ejKlTp3a4zrFjx6DX61uCGQBmzpwJjuNw4sSJdrcpKirCzp07W+332LFjmDlzZqv15syZg2PHjt3hWfQPYrEYw+JiUFdVJnQppJfcbMLixHQrqisM4TE4f7EIXq/XL/sPiHBevHgxVCoVIiMjodVq8d5773W4bkVFRZsHMCQSCYxGIyoqKlq9n56eDoVCgaFDhyIjIwOvvPJKq/2EhbX+8y0sLKzNPn7I5XLBZrO1evVnQwbHwmOrpnGmBwhtcCg4EWCtrRa6lD4hODwatQ1NHf6Vf6e6Hc6rV6+GSCTq9HXx4sVu7XPt2rXIycnB1q1bcfnyZTz33HPdLatdn3/+OXJycrBp0yZ88803eOONN+5of2vWrIFOp2t59dboVEKJioqCjLnRZO/fv4RIM47joFRrYbPQfYau0BhC4GRSXL161S/77/bfL6tWrcKyZcs6XScuLq5b+zSbzTCbzUhMTITRaERGRgZefPFFhIeHt7tuVVXrwYG8Xi8sFkubxylvhufw4cPh8/nw5JNPYtWqVRCLxTCbzaisrGy1fmVlZaePZL7wwgutfnHYbLZ+HdBRUVFQy6Ww1lRApaGxFgYClUbfPJ4zuSWRSASZIRSFRZdx99139/j+ux3OJpMJJpP/Hu3keR5AcxNCe9LS0mC1WnHq1CmkpqYCAPbu3Que5zFxYsdDbfI8D4/HA57nIRaLkZaWhj179uCZZ55pWSczMxNpaWkd7kMul0Mul9/GWfVNKpUK0WYTrlRXIGJwgtDlkF6gCw5FedkNocvoM/Qh4Si65p/5P/3a8l9SUgKLxYKSkhL4fD7k5uYCAOLj46FWq7Fjxw5UVlZi/PjxUKvVyMvLw/PPP4/JkycjNjYWAHDy5EksXboUe/bsQWRkJJKSkjB37lysWLEC69atg8fjwcqVK/HII4+09NTYuHEjpFIpRo0aBblcjuzsbLzwwgt4+OGHIZU2d67/zW9+g6lTp+Ivf/kL5s+fj88++wzZ2dl49913/fmR9DlD42Jw7lj3mqlI36ULCcOVi+fh83roQZQukMoVcLnd8Pl8EPfwJBV+DeeXXnoJH330UcvXKSnNXbL27duHadOmQalUYv369Xj22WfhcrkQHR2NBx98EKtXr27ZxuFwoKCgoNUDJBs3bsTKlSsxY8YMcByHRYsW4c033/zXSUkkeO2111BYWAjGGGJiYrBy5Uo8++yzLeukp6dj06ZN+P3vf4/f/e53GDp0KLZs2YKRI0f68yPpc8xmM/imk2CM9coA40RYhtBwMN4La201gsNofI1bkUhlcPAMbrcbSqWyR/fdK/2c+6v+3M/5pgsXLuBP//MBRt3zGGSKnv3mI4GnrqocX/z3y5jx6K8RP2KM0OUEvNry66g+vQuvvfxCl8dW75P9nEng0ev1kEs4NDVSj42BQBcSBk4EWGo6n5GHNBNLpPDxrMN7ZHeCwpl0ymAwQC7l0NRA4TwQUHe67pFIZRTORBgKhQIalZKunAcQlUaPBhoutksY4yESidqdXPlOUTiTTolEIoSZguGgK+cBQ2sMgYPCuUu8Hg/EIpFfuthSOJNbMocEw+Xw39CIJLDoQsLQZKuDz+u59coDnM/rgZgTQSbr+bk2KZzJLRmNBvDORqHLIL3EEBoB3ueB1UJXz7fi9bjBcaBwJsLQarXg3Q4aAGmAMJqjwHgv6qo7HgSMNPN63JDQlTMRik6ng5j54HH3/B1pEnj0pnBwENHodF3gdjqgDgrq8acDAQpn0gU6nQ4yCQdnI7U7DwQcx0ERpEY9DYB0S25nE/QatV/2TeFMbkmn00Eu4eB02G+9MukXlEFq6qHTBa4mB/Q6jV/2TeFMbikoKAgKmYSunAcQsUQGr8ctdBkBz+dqgo6unIlQOI5DsEEPR0O90KWQXiKRSsH7/DP9Un/CvC6o1RTORECjhyeg/kYR9X0dIMQSKXwe+re+Jd7rl54aAIUz6aLJkycjRCFC2RUa23kgEEuk4H0UzrfCvp+8wx8onEmXGI1GZIwfg/LCMy2z1ZD+S6pQwuN0Cl1G4GMUziQAZGRMgZZzoarkstClED/TGkLgtNdTM9Yt0JUzCQgRERGYMCoRpRdz6WnBfk5vMjfPiEKPcHeIMQbm80Ii8c+EUhTOpFum3pUBhacelopSoUshftT8CLcPdTWVt155gPJ63BCLeOqtQQLDkCFDMHpYDEryTwtdCvEjbXAYRIxHPQ263yGXoxFSMee3KeoonEm3iEQiTJ96F0QNFXT13I9JJBIoVGrY6BHuDjkddsgkHDQa/zwh6NfZt0n/NGLECKQkxOL0iR24FmRC5LBkmKIG+2U2CCIclUaLBqtF6DIClqupETIxhTMJIBzH4d9+/RTy8/Nx+Ogx5Jzbj2tnjiI0bjjCBydAofJPGxzpXWp9CKwUzh1yORqh06j9dkOQwpncFrFYjJEjR2LkyJG4ceMGjh8/gaPZuThfeApifTjCByfCFD0YYjF9i/VVuuBQlF2/9v08efRX0Y85mxoRq/NPezNA4Ux6QGRkJBYtehDz58/D+fPnkXUqB2cuHELJmcNQh8chakgStMGhQpdJukkXEgavywm7zQaNTi90OQHH5WhEcJTBb/uncCY9RqFQYNy4cRg3bhyqq6tx5swZHD15ClcOb4VHrkdYXCLCYxMg8dNYBKRnGUIjAN6HuupKCud28O4m6HWxfts/hTPxC5PJhJkzZ+Luu+9GYWEhsrKzcfLMKZy+cBLK0BhEDRsFXXAoRCKR0KWSDhjCIsHzPtRbqgEkCF1OwGGeJr/dDAQonImfcRyHxMREJCYmYuF9Npw+fRqHj59E0dFtcMt0CItLoqvpAKVQBUGukMNKfZ3bYIzB53L47QEUgMKZ9CKtVoupU6ciIyMDRUVFOJmVhRO5p5Bz4SSCzHGIHjqC2qYDjFJN3ena43G7IBGBrpxJ/8JxHIYNG4Zhw4bh3gX1yMnJwaFjJ5vbphV6mOOGwxw7FBIpXU0LLUhrRGM9hfOPuRzNfZzpypn0WzqdDtOnT8fUqVNx6dIlnDh5EifPZCEn7ziCzHHQm8LhcTXB7XLC42yCo9EGR70VwydNhykyRujy+z2tMQSWSzSG9485GqyQSzkYjUa/HYPCmQQEjuOQkJCAhIQELLyv+Wr68PEsVBVdg1IuR4g6CDpjEHZmHcG1Ojcu5hyFWqdHbNIYJI7LQHB4tNCn0C/pQ8xwncmGq8kBuVIldDkBo9FWB51aiaCgIL8dg8KZBJybV9PTpk2D1+uFVCptWRYZHoYvDp6DLnIIivJyUXAmG+eP74fBFIZ5y5+FWue/K5mBSGcKB3gfLDVVCI+OFbqcgNFYb0VieJhfexvRYz8kYIlEolbBDABRUVEQexqRkDwO9/7sl1jy21cx+cFlcLi9+PrtV2GzVAtUbf8U/P3QofX0ubbibqxHeJh/b15TOJM+xWg0QiJicDubAAByhRIjU9Mxf+lK8BIFtqz7E6zVFQJX2X8E6QzgOA7WWgrnH2K8/2cmp3AmfYpSqYSE4+Bxt57fzmSOxIKf/xtEcjW2vrMGdVXlAlXYv3AcB5VajYY66rHxQzpzDLLP5MHr9V9IUziTPkWhUEAiFsHjdrVZFhxqxoKf/xu4IAO2vrMGteXXBaiw/1FpDLBTd7pWzDFDcaPWhsuX/TefJoUz6VMUCgXEnAgeV/szQxtCQnHfz5+GVBuCbe++huob13q3wH5IYwhGo5XmEvwhtd4IJxOjpKTEb8egcCZ9ikgkgoQTwetxd7iOzmjCfT9fCbkhDNvfewPVN4p7scL+R6FSw+NqErqMgGKtLkeQmMeQIUP8dgwKZ9JnuFwufPzJRlQ3MehN4Z2uq9Ebce/P/w0yfSh2fPj/4HV3HOakc402KxRqndBlBJQbRRcwLDoMgwcP9tsx/BrOr776KtLT06FSqaDX69ssr62txdy5cxEREQG5XI7o6GisXLkSNput0/1aLBYsWbIEWq0Wer0eTzzxBOx2e8vygoICTJ8+HWFhYVAoFIiLi8Pvf/97eDyelnU2bNgAkUjU6qVQKHrs3EnPcrvd2PDx33HgzGUkZsxHkFZ/y200Oj1m/mQ5XG4vzh3b4/8i+yl7vQVKjV7oMgKG1+2Go6oYaRPG+bWfs18fQnG73XjooYeQlpaG999/v81yjuOwcOFC/PGPf4TJZEJRURGefvppWCwWbNq0qcP9LlmyBOXl5cjMzITH48Hy5cvx5JNPtmwjlUqxdOlSjB07Fnq9HmfOnMGKFSvA8zz+9Kc/texHq9WioKCg5WsavjIweTwe/P2Tjdh/+hISpsyHLjisy9uGRUbDNDgRF07sw+iMOTTP4W1wOuwIDY8TuoyAUVF8CcFKMcaMGePX4/g1nP/whz8AaL5KbY/BYMBTTz3V8nVMTAx+/etf4/XXX+9wn/n5+di5cyeysrIwbtw4AMBbb72FefPm4Y033kBERATi4uIQF/evb6aYmBjs378fhw4darUvkUgEs9l8u6dHeoHX68XGTz/F7ux8xKffA72p+/9eyZOmYs+mt3EtLwdxo8b5ocr+zeVoRJCWmjVuqrx6ETOTE6HT+fczCajLiLKyMmzevBlTp07tcJ1jx45Br9e3BDMAzJw5ExzH4cSJE+1uU1RUhJ07d7bZr91uR0xMDKKjo7Fw4ULk5eV1Wp/L5YLNZmv1Iv7j8Xjw6WefYdfxcxgyaQ6MYZG3tZ+4xJHQhEYj98C3PVxh/+d2OuBxu6HR+W86pr7EbrWAc9RifGqq348VEOG8ePFiqFQqREZGQqvV4r333utw3YqKCoSGtn5sUiKRwGg0oqKi9ZNh6enpUCgUGDp0KDIyMvDKK6+0LEtISMAHH3yArVu34pNPPgHP80hPT0dpaWmHx16zZg10Ol3LKzqaBtvxF5fLhQ0f/x07jp5F7ITZdzSwkUjEIWncFNRUlFLPjW6qq64AOA4aPY1ZAgA3LucjJsyAhAT/zwzT7XBevXp1mxtpP35dvNi9IQbXrl2LnJwcbN26FZcvX8Zzzz3X3bLa9fnnnyMnJwebNm3CN998gzfeeKNlWVpaGpYuXYoxY8Zg6tSp2Lx5M0wmE955550O9/fCCy+gvr6+5XX9Oj3k4A+NjY14970PsDenEEMnz+uRoUFHpE6ETG3Aqb3/7IEKB44GSzVEnBg6Y7DQpQiO53nU3yhC2rgUSCT+HzOu20dYtWoVli1b1uk6P2zv7Qqz2Qyz2YzExEQYjUZkZGTgxRdfRHh42+5SZrMZVVVVrd7zer2wWCxt2o9vXtkOHz4cPp8PTz75JFatWgWxWNxmv1KpFCkpKSgqKuqwTrlcDrlc3q1zI91TX1+P9R9sQPaVSiTddS+0RlOP7FcqU2DImEkoOLITNkt1j+23v7NZqgGOg5qaNVBXeQNqzovk5OReOV63w9lkMsFk8t83Ns/zAJr/rG1PWloarFYrTp06hdTv23327t0LnucxceLETvfr8XjA83y74ezz+XDu3DnMmzevB86C3K5vv92JrMtVGDV9IYK0PRsIYyffjaLcYzi45WMseHxVj+67v2qoq4FCpYGUZqVB+dUCDIs2IzLy9u59dJdfr81LSkpgsVhQUlICn8+H3NxcAEB8fDzUajV27NiByspKjB8/Hmq1Gnl5eXj++ecxefJkxMbGAgBOnjyJpUuXYs+ePYiMjERSUhLmzp2LFStWYN26dfB4PFi5ciUeeeQRREREAAA2btwIqVSKUaNGQS6XIzs7Gy+88AIefvjhliEoX3nlFUyaNAnx8fGwWq14/fXXUVxcjF/84hf+/EjILZRVVkMbHtvjwQwAQRotkqfMRva3n6Ok8DwGDRvZ48fobxrr66DQ0FWzz+eFo6oYE34yt9e63Po1nF966SV89NFHLV+npKQAAPbt24dp06ZBqVRi/fr1ePbZZ+FyuRAdHY0HH3wQq1evbtnG4XCgoKCg1QMkGzduxMqVKzFjxgxwHIdFixbhzTff/NdJSSR47bXXUFhYCMYYYmJisHLlSjz77LMt69TV1WHFihWoqKiAwWBAamoqjh49iuHDh/vzIyGdYIyhsqYWymD/3WwZkzYNl86cxOGtf8cjq9ZQv+dbaLTVQWHsnSvFQFZdeg06mQijRo3qtWOKGGOs147Wz9hsNuh0OtTX10Or1QpdTp/X1NSEVb//AzSJGTDHDvXbcYqL8vHdx29h3PR5GDt9gd+O0x/8fc1ziBw+AXcvfEToUgR15uC3SDVL8W9P//qO99XV3KDLBhIwrFYr3F4eCrV/f9HFxCchMikVpw98i0ab1a/H6st4noezsXHA3wz0ut1wW0qRmjKmV49L4UwCRn19PVweHsogjd+Pddc9D4CTB2H7e6/D7XT4/Xh9UZPdBp6xAf8ASuX1K9ArxBgxYkSvHpfCmQQMj8cDnjFIfjRvoD9o9EbMfPgXsDua8M/1b9Code2w1lRAxHFQ6wd2OFeVXMLoxHi/P679YxTOZMCKjhuGaYuWoc5SixPf/UPocgKOrbYKEImhNwzcB1DcziZ4rRVIGd07fZt/iMKZDGhDkpIRFjccJYXnhC4l4DTU1YCTSKHW6YUuRTCVJZcRHCQVpBcXhTMZ8KLjE9FgqaF58n7EXlcLeZAWItHAjYnqkktIGTEMarW61489cD91Qr43JGkUIJHh8rksoUsJKAN9kH1nox2soRopo0cLcnz/j95BSBd5vV4wAOjlSQ80eiO0odG4lpeL0VPm9OqxA5nDXg9tRLzQZdyWuppKVFeUgeM4cJwYIk7U8v8/fE8kEoMT/+B9sRiciAMnFqHsSgFMWgWSkpIEOQcKZxIwCgsvQRRkhFjc+9+WEXEJuHQ8E16vt1dGHOsLXI5GqPvgIPtFF87gwNcfw+toaH7jB7/sRRABon999ePlP3xfJAJ+OmeKYNPX0XchCQhutxvZZy/AGDlMkOMPThiB/KO7UFJwBnEj/D+QeqDzer1wNTm6NFdjIDlz/CCyvvsHDMYQ3L3itxCJROB5H3xeLxjjwXgevM8H3ueF7+b/814wvnmZz+cD431wORpReykHc2bPFuxcKJxJQLh06RIqrXYkpPrvse3ORMQMgdoUgezMLYhNShnwY27Y62rAIOozg+wzxuPIru24cGQnouISMPtnT9/RX0DXC89D66r0+zyBnaFwJgHh3Lnz8CkNUGmE+TNaLBZj4ox7sfezd3Ax6yCGT5wmSB2Bwm6tBQAc2vIJDm/bCKB5YKpWDQCMgf3o69Zf/ujrH67NdzCkDydqbnrA9xMui1r//79GhPvX5B43ORvqMDx1CiYvXHLHv1xrblxDRsIQKJXKO9rPnaBwJoJzu904de4CgqMSBa1jyPBknIsbjqzMrzEsJR0S2cAdwzg0ZgjGTrsHnu/HVW8zTCbX+mvuxx2/frD8x9u2/bp5W8b4lkBnjLUEOA8e4NkPln2/3s2veQYePMKi45A4LqO7p9qG1+OGt74cI4en3fG+7gSFMxFccXExquodGDp2iKB1iEQc0mffj23v/ReyMr9G2vyHBa1HSDKZAuNnPSB0GYKoLb8OrUzcK/MEdmZgN6yRgFBbWws3LxKsSeOHwiKjETtqEvJO7EdDXa3Q5RABWCpKERsRCqNR2PZ2CmciOIvFAk6h7rUZJm4lfdZ8iJUaHN62SehSiAAc1ioMjbvzSYXvFIUzEVx1TQ3ESv8PE9pVQRo9hk+6G6WXzuNG0QWhyyG9yOf1gLfXYdCgQUKXQuFMhFdWWQOVWvgmjR8alzEDmvDByNz0t+YZqMmAYLNUQyXjEBUVJXQpFM5EeD6fT+gS2hBLpLjn0RWAQotvPvx/cLudQpdEeoG1ugIGtQphYWFCl0LhTIQ3dHAMGiyVQpfRhs4QjFk/XY5GhxPfbXgTPM8LXRLxs/qaCgyLGxQQDyEJXwEZ8GJjY8A31sLn8wpdShuRsfFIm/cwykuv4eg/6QZhf8YYg8dWg8Exwrc3AxTOJABER0dDKxfj7MGdKL2UB2ejXeiSWhmROgnDJ89G3smDyDu+T+hyiJ84HXZIfM6AaG8G6CEUEgDCw8Px84cWIvfseVy8nIW880cgNkQiatgoBIdHB0QXu8mz74O1phpHt38GfUgYIuN7f2YM4l/WqnKoFZKACWcR+/ED8KTLbDYbdDod6uvrodVqhS6nX2hqasKFCxdw6OgxnC8qQaNICXP8KEQPGyV4SHvcTmx+/7/RWFmCjPsfw9AxkwSth/Ss/KyDGCypxwv/3yq/HqeruUFXziSgKJVKpKamYuzYsbh+/TqOHTuOnYdPQBGkQWjUYEFrk8oUmPfoL5H5j4+w9x8fouhMFqY/9DgUqiBB6yI9w1FXhaEThRmytj3U5kwCkkgkwqBBg/DTnz6EsYmDceNSntAlAQA0Oj0eePzfkDrnIZRdv4rP/9/vcO3CaaHLInfI5/OCb6xDdHS00KW0oHAmAU0kEmFy2iSw+jI02W1ClwOgeYCkcRkzcf+K30JlisauTeuQuemdlhHcSN9TX12BIBmHmBjhH9u+icKZBLyRI0ciKkSH0gC5er4pOCwC9/3815Crdcg+8C3+vuZZ1FWVC10WuQ2WqjKYdGqEhoYKXUoLCmcS8GQyGYYNjkZjg1XoUlq5UXQBX6x9ER63G6On3QuJ2ojNb/8nis6cELo00k226jIMHxoXEA+f3EQ3BEmfIBFLwDqaPUMAJYXn8d3Hb0ETHovZ9z+KsMgYNDbYsOsfG7D3y/dRUVyE9AWLA+qHnbSP9/ngs9UgLm6K0KW0Qt85pE/QaNTwNNa1mfpICNbqCuz5dB10UfFYtOJZhEU2t1MGabS4b+nTSEifgwvZR7D7s3cErpR0ha2uBkoJAmIkuh+icCZ9wpgxY6Dim1BXeUPQOpyORnzzwV8gURtwz+IVkMoUrZaLxWJMnbcIY2c+gKsXcnHm8HcCVUq6ylZbCa1SBrPZLHQprVA4kz4hJiYGSYMjcf3SecFq4HkeOz5cC6eXx+xHfgGNTt/huqkZMxA9cgJO7tyM8quFvVck6TabpRqx0eF3NFu3P1A4kz5BJBJh8qQJcNdch6vJIUgN+758H7VVFchY+LOWpoyOiEQcZj24BJrwWOza+L9wBEg3QNKWq74WgwcFTv/mmyicSZ/g8/ng9XqhU4hRdf1Krx//9IFvUXTuFEZPvxfDRqZ0aRupTIFZDy0HL5bj2w//SkOOBiCfzwveYUV4eLjQpbRB4UwCGs/zOH36NP7rL3/Fu59tg0sThdDouF6tofxqIbIztyAmOQ3jp87q1rbBoWZk3PcoLDVVOLT1736qkNwum6UGcjEQEREhdCltBFYjCyE/wPM83vrft3Hq4jVwxmgMm7YIan3vzojsbLQjc9Pb0ITHYsb9D0Mk6v71TPyIMahIn4ULh3ZAow/G2OkL/FAp6ar62kpcOZeNkoLzqK0ogSlIFhAzn/wYhTMJWCKRCFUWK5RRSUgcl9Hrx+d5Ht/9/S14RRLM/8nP2/TM6I7Js+9Fk70BWXv+ibrqSkz/yXLqA91L3E4Hrl7IRcnFM6gsKUJjQwM4qRzasEjoI+Iwc2xcwN0MBPzcrPHqq68iPT0dKpUKer2+zfLa2lrMnTsXERERkMvliI6OxsqVK2GzdX7zxGKxYMmSJdBqtdDr9XjiiSdgt7c/QHtRURE0Gk27x//yyy+RmJgIhUKBUaNGYceOHbdzmsRPRCIRRgwdAoe1RpDjZ2V+jcqy60i756cIDruzP3tFIg4zH3wUY2Y8gCt5p7HtnT/D7RTmxuZAYKm8gaPbP8MX//0SNvzxGRzY8gnKy24gJC4ZUx58HI+uehUPP7Ua0RFmpIxOFrrcdvn114Xb7cZDDz2EtLQ0vP/++22WcxyHhQsX4o9//CNMJhOKiorw9NNPw2KxYNOmjqcEWrJkCcrLy5GZmQmPx4Ply5fjySefbLONx+PB4sWLkZGRgaNHj7ZadvToUSxevBhr1qzBggULsGnTJtx///3IycnByJEje+YDIHdsyJA4eA+fgs/rgVgi7bXj3rhyEWcO70L8uOlISpnQI/sUiThMnD4XOqMJR/65Ef946w+Y//hz0AUH3p/UfVF9bSUunjyEKxdOwWaphVgRhJDoIRibkoGYoUkIMUe0apZyNTnAue0BM7j+j/XKYPsbNmzAM888A6vVest133zzTbz++uu4fv16u8vz8/MxfPhwZGVlYdy4cQCAnTt3Yt68eSgtLW3VsP8f//EfKCsrw4wZM9oc/+GHH0ZjYyO2b9/e8t6kSZMwZswYrFu3rkvnRYPt+19lZSVeXPP/EDp2NoLDe6+704lv/4GzJw9i2e/egFQq6/H93yi+gj1ffgBfoxXTf7oCsUmje/wYA0FDXS0uZh/E1fOnYK2pAidXwRQzDHHDx2DYyDGQK1Udblt1/Qrqzu3Hn19e3e5f1v7SJwfbLysrw+bNmzF16tQO1zl27Bj0en1LMAPAzJkzwXEcTpw4gQceeAAAsHfvXnz55ZfIzc3F5s2b293Pc8891+q9OXPmYMuWLR0e2+VywfWDYSFv1fxC7lxoaCjCQ/QouXwBRnNUr82GojGGgPl8cDbaIfXDTcjImDg8sOK32Pn5+9i16W2k3DUX42c90OPH6U/cbicqrhTixtWLqCq5Cmt1GZxNTRDLFAgeFI+JabMxbFQKlEGaLu3PWlMJc7AOOp3Oz5XfnoAI58WLF2Pr1q1oamrCvffei/fee6/DdSsqKtoM6yeRSGA0GlFRUQGguS172bJl+OSTTzr8zVRRUdHmDm1YWFjLPtqzZs0a/OEPf+jqaZEeIBKJsOi++fifDzaiOD8XscO71sf4ThlCIwDmg9VSA42feohodHo8+Pi/Y98/v8Tpg7twLT8XBlM4gvRGaPQh0BpCoA0OhdoQEpA3rPyJ53lYq8tx/dJ5VF67hJry67DX14GJxBDLFNCZIhA9Kg2hUYMweNhwBGn03T5GQ3UZpqbGCT79WUe6/S++evVqvPbaa52uk5+fj8TExC7vc+3atXj55ZdRWFiIF154Ac899xzefvvt7pbWYsWKFXj00Udx11133fY+2nOztptsNltAzZzQXyUnJ+Oh+ZX4eMsuBOkMMEXG+v2YhtAIMJ8P9XU1iIb/pi4SS6SY+cCjOBc5CIVns1BZUYGmokLwXhfA82C8DyIwyBRKKILUUAbpoDGGQKM3whgWiejEZMjuoBdJoHC7nSi7XICyy/moLLmMuupyeDxuiMQyBBlMMEQnYNikQQiPjoU5KuaO7z+4XU7w9loMHTq7h86g53U7nFetWoVly5Z1uk5cXPceEjCbzTCbzUhMTITRaERGRgZefPHFdp/aMZvNqKqqavWe1+uFxWJpGbhk79692LZtG9544w0AAGMMPM9DIpHg3XffxeOPPw6z2YzKyspW+6msrOx08BO5XA65XN6tcyM9Y8aMGaisqsI3R/dAGfSA3/s7K4LUkEilaKiz+PU4N42aMAWjJjQPWckYD4fdDpvVgob6OtjrrbDXW2C31cNhs+JG8TU4L5wF83kg4n3Qm8IQOWQ4Bo8Yi7CYeL930eN5Hk6HHc7GBiiCNFCpO2439Xq9sNfVwG6tRYO1FnZrLRwNzefhsNvgamqEy+GAx+0EOAnEciX05mjEj58O86A4RMYMQZCm5+/nWCpKoVNKEB8f3+P77indDmeTyQSTyeSPWgCg5RFXVwdT/qSlpcFqteLUqVNITU0F0BzGPM9j4sSJAJrbk30+X8s2W7duxWuvvYajR48iMjKyZT979uzBM88807JeZmYm0tLS/HFa5A5xHIeHfvITVNdacPLwDqTe8wjEYv/+qc+JOUGGKBWJOARptAjSaBEeHdvuOj6fDzUVpSi+dBE3rhYiP/ckzh3fD6lUAo3eCEWQFiq1FiqNDiqdHhJJ65uajDG4HHa4mhxwNTXC7WyCx+2Cz+tpHt/Y5wXjfWA8Dx/va37P44HH7YLX4wZEIkDEgROJkDRuCibMeRAyhQo2SzWuF55H2ZWLqL5xDXarBQwigBNDJOIg4sSQB2kgV6kh1wQj2BwLlVqLII0OYVExMEdG90qvnJqyYiRGhQdsezPg5zbnkpISWCwWlJSUwOfzITc3FwAQHx8PtVqNHTt2oLKyEuPHj4darUZeXh6ef/55TJ48GbGxsQCAkydPYunSpdizZw8iIyORlJSEuXPnYsWKFVi3bh08Hg9WrlyJRx55pKWnRlJSUqs6srOzwXFcqy5yv/nNbzB16lT85S9/wfz58/HZZ58hOzsb7777rj8/EnIH5HI5ljzyMIpeW4vyKwWIGjrCr8fjfTxEnNivx7hdYrEYYZExzQMwTZsDj8eN0quXUHLpImx1tXA5GmArL4Or6GJzmKKdXzIiDhKZHFKZAlK5EhK5AiKxApxMDCkngVgqAceJIRaLwXFiSOVyyJVBkCuUUKhUkCuUKL6Uj4unj+DSmRMQiyVocjRCJJZCqQuGMWoYhk2KgdYQDI1WD7VWB5VGB7FY2M+UMYammjKMHJ8uaB234tdwfumll/DRRx+1fJ2S0nwzZ9++fZg2bRqUSiXWr1+PZ599Fi6XC9HR0XjwwQexevXqlm0cDgcKCgrg8Xha3tu4cSNWrlyJGTNmgOM4LFq0CG+++Wa3aktPT8emTZvw+9//Hr/73e8wdOhQbNmyhfo4B7jQ0FBMGTca207kImJIkl//hGeM7zNP8UmlMgweNgKDh7X+hcUYD7fTCZ73tdlGplDdcVAOSUrG6IkZyDqwCxKpDOGD4hA1eAh0Rv/9dX2nPC4nOG9TwA2u/2O90s+5v6J+zsK4ceMGXnnjTeiH3wVz7NBubetqcsBmqUZDXTUaLDXwNtZBoTdhRNrMNuu+9/tfYszsn2DcXd0b7IgEtrqqcpSf3IE//u45QcbU6JP9nAnpisjISExMTsLuczkIi4nvcleo80d2wVV1DUFyMQwaFUbFRKG01IrrvrZXlQDAMx6iPnLlTLrO0WCFQsrBaOzdQbS6i8KZ9EnTp03F0dy/oaasBKZbDHwPNF8t+WqL8cvFCzFixAgYDAbYbDa88Ic1MCWObbM+z/PgGfP7TUfS+xptVoQHGyCV9t5wALeDLgtInxQbG4uxSUNQcuHULddljOHq2eMYmxCLKVOmwGg0QiQSoaCgANYmL0LaCXfe6wUAunLuhxy2OkSGBW6b+E30nUf6JJFIhDHJo+CzVd9yhhFLRSlkTbWYM2tmqyaQvPx8iHWhkMra9l3neS8AEbgA7a1Bbp/XUY9wc+APNkXhTPqs0tIbEGuCO+1RcfOqedyIeAwb9q8n/dxuN87mFyE4YnD7G3IcAvOhXnInfD4vWFNDmyEgAhGFM+mTGGM4X3AJGlNkp+tVl16FymNrc9Xc0NCARqcbGkNwu9txN380GM371584bFYoJByFMyH+UlVVhYraegSbOx+LtyQ/BxOTE9oMKeDxeMAzBq6Tp9EYGHjqadqvNFhroZSJKZwJ8ZerV6/C7uahN3U8FordaoGkyYL0tEltlrndbvh4BklH4XyzqYTCuV+x19XCHGKEQhH4g0VROJM+qaysDF5O3umEqzeKLmBQqKFVW/NNzVfOgLiDoTj7ypOBpHvsdVUYEhOYM5/8GH0Hkj4pNTUVZhVDQc6RdpfzPh+sN4qQPn5su2Mh37xyvtUgO+099kz6JsYYfHYLoqI6v08RKCicSZ8UExODn/1kIbzlhbhx+WKb5VXXr0An9bWM59JmeVUVeE4CSTvd6IDmK2exWAKP292jdRPhOBrqIYWv1VR2gYwefyJ91vjx41FaegP/2HMIHMfB1dSI+poKuOurIfY5kZ6c0OH43IVFlyHVhXXafCGVyuByNvmrfNLLbLVVUMsl7Y4TH4gonEmfJRKJcN9996Kiqgqn8w5Br1YifXA0BscMR1RUVIeTPng8Hly4dBWGiORO9y+RyeB2UTj3Fz6fF00eH/bv3485c+YE/NRfgV0dIbcgkUiw4onHYbFYEBIS0qUhMEtKSlDX6ETcLbrhSeVyuJ3OniqVCCxySBIY78OmHQdw5VoJlix+OKAHP6I2Z9LnSaVShIWFdXls4tLSUjg8DEFafafrSaRyuF0Uzv2FSCRC9LBRGJZxH44WluP1v/4P8vLyhC6rQxTOZMAZMmQIzFo5Ck8f7XQ9mUIFd1NjL1VFeos2OBRjZ/8UFTDgr+s/xvbt2+H9fqCrQELhTAacqKgoLFl0H9xlF1Fx7VKH6wXpDHA21PdiZcSffF4Pyq5cxOWzWSg4dRhetxM1dje27T6E7777Tujy2qA2ZzIgTZgwASUl17F5/0Go9cHtzuat1hngajwLn88n+Lx35M7lnzwAua0ERp0GocFGhA6LhsGQDJ1Oh6FDuzejTm+gcCYDkkgkwsKF96G0vBzZx3Zh3D2PtFlHazSB93lht1mh62CAJNI3uJ1NcFZdw/LF92HKlClCl9Ml1KxBBiyZTIZJ48eBd9rbXa4xmsCYDzarpZcrIz3txuULCNMqMHZs21lvAhWFMxnQ3G43OIms3WX6EDPA82igcO7TGGOovnYR6amjoVKphC6nyyicyYDmdDoh6mB8DaVaC04kgr3e2rtFkR5VWXIZGjgxceIEoUvpFgpnMqC5XC6gg0lcOY6DXKWCvb6ul6siPYX3+VBy7jgmp45EdHS00OV0C4UzGdBcLhdE4vabNQBAoVKjqbH9NmkS+EoKzyFY6sU9c+YIXUq3UTiTAa3R4eh0NhSRSAQGGnC/L3K7nKgqOI3Zd03qEzOf/BiFMxnQHE1OSKQdXzkzMIhoqtc+h+d55B/fgxijAnfffbfQ5dwWCmcyIDHGcPr0aVy6dgNylbqTFdFqYlgS+BhjyD95ABp3DR5/bDHU6k7+fQMYPYRCBhyn04mtW7fhuyPZEIXEInHEv/q+8jyPJrsNNks17NZaOBvtUFM49ymXz2WBq72Cx3/+SLtTlPUVFM5kQCkuLsbvfv8iLt2ohtsHKNXFOH9sLxjPw+1sgtvZBJ6heW5CrvmlM4YIXTbpouKLZ9F47Qwef+jeDmfB6SsonMmA8t2uTFy1AaqIRKjFYojFYnBiMUQcB4UyCEEaLYI0Oqh1eqi1eqh1ekg7aZMmgeNqXg5sRafw8Py7kZGRIXQ5d4zCmQwYN27cwKkLl5B+z08QOSRR6HJID2GM4fK5LDiLz+Jn98/BjBkz+sV9AgpnMmAUFxfD5gaGDe677ZCkNZ7nUZhzBHxFIZY9dG+/uGK+icKZDBgNDQ0Qy1WdTupK+g63swnnj3wHPV+Px5YswoQJfevx7FuhcCYDhs1mg0imFLoM0gNstVXIP/odhpkUWP6zX2Dw4MFCl9TjKJzJgFFXb4OYwrlPa7LbcONyPuqunMWUkUPw2JLF0Ol0QpflFxTOZMCorauHQqkXugzSTV6PG5UlV1B5NR+soRqRRg3mL5iOWbNmQSrt+NH7vo7CmQwINTU1sNTVQxYaIXQppAsYY6ivqURpUR4clddgkItw14hhGJ86B8OHD4dM1v+7N1I4k36N53kcP34cX/1zJ8qaRBgVEy90SaQTbmcTyq5cRNW1fCi9DgyJMiH9J3MxZswYGAwGocvrVX69bf3qq68iPT0dKpUKer2+zfLa2lrMnTsXERERkMvliI6OxsqVK2Gz2Trdr8ViwZIlS6DVaqHX6/HEE0/Abm9/WMeioiJoNJo2x9+wYQNEIlGrl0KhuN1TJQGopqYG7773PtZt/Bp2bQxS5/wUSrVW6LLIjzDGUFdVhrOHv8OZbz8BV34e908ajv/zzC/xwvOrMH369AEXzICfr5zdbjceeughpKWl4f3332+znOM4LFy4EH/84x9hMplQVFSEp59+GhaLBZs2bepwv0uWLEF5eTkyMzPh8XiwfPlyPPnkk2228Xg8WLx4MTIyMnD06NE2+9FqtSgoKGj5uj90XCdtr5aHps+HgZozAo7X7UbZ1YuovHIBCq8diTHhyJjzAMaMGdOnppPyF7+G8x/+8AcAzVep7TEYDHjqqadavo6JicGvf/1rvP766x3uMz8/Hzt37kRWVhbGjRsHAHjrrbcwb948vPHGG4iI+NcP4e9//3skJiZixowZ7YazSCSC2Wy+nVMjAewfX32F7ftPQhmViNS7JkHcyXjNpHcwxloGlGr4flApT30lQlRiLBg3ChMnTkBcXBxdIP1AQLU5l5WVYfPmzZg6dWqH6xw7dgx6vb4lmAFg5syZ4DgOJ06cwAMPPAAA2Lt3L7788kvk5uZi8+bN7e7LbrcjJiYGPM9j7Nix+NOf/oQRI0Z0eGyXy9U8rdH3btX8QnpffX09Dp44DWPiRMQkJgtdTr/DGPt+gCgHXE3NL7ezEe6mJricDnhdTQDjwXgeAA8RY2CMh8/ZCJmIR5BMjFCjDhMTIxEbk4qUlBRotdTU1J6ACOfFixdj69ataGpqwr333ov33nuvw3UrKirazGogkUhgNBpRUVEBoLkte9myZfjkk086/IdPSEjABx98gOTkZNTX1+ONN95Aeno68vLyEBUV1e42a9asaflrgASm3Nxc1Db5MJbGzugSxhhcjkY02urgaLCi0WZFU0M9fE47RMwHxvNgvA+M9wG8D4zxkHIcpBIOUrEIMjGHIJUCkVotDCYtdBoTpFIpOI4Dx3HNA0txHNRqNcLDw2E2m/vs+Mq9rdvhvHr1arz22mudrpOfn4/ExK7/cKxduxYvv/wyCgsL8cILL+C5557D22+/3d3SWqxYsQKPPvoo7rrrrg7XSUtLQ1paWsvX6enpSEpKwjvvvIP//M//bHebm7XdZLPZ+tykkf0Zz/M4fPwkVGGxnc5u0l8xxuD1uOFqaoTL0dj836ZGOL//f97tbA5Y3gfwXjCfD7zXDamIh0IqhkouRWyIEVFJoQgOToRUKoVEIoFEIoFYLG75f5VKBbVaDbVajaCgoH7d11hI3Q7nVatWYdmyZZ2uExcX1619ms1mmM1mJCYmwmg0IiMjAy+++CLCw8PbXbeqqqrVe16vFxaLpaX9eO/evdi2bRveeOMNAM3ftDzPQyKR4N1338Xjjz/eZr9SqRQpKSkoKirqsE65XA65XN6tcyO95+rVq7hcWo3otIlCl9LjvG43nA7792Frh7PRDqfDDndTI3hPE5jbCd7thFjEQyrmIBVzkEk4aIKUiNJpEWzWQaeNhEwmawldqVQKuVwOo9GI4OBgGAwGiMVioU+VfK/b4WwymWAymfxRC4Dmqx8Ardp2fygtLQ1WqxWnTp1CamoqgOYw5nkeEyc2/1AeO3YMPp+vZZutW7fitddew9GjRxEZGdnufn0+H86dO4d58+b15OmQXpSdfQpOSRB0IWFCl9JtHrcLTQ31aGpsQJPdBofdBldjA3iXHT5nIzjeC5mkOXBlYg4GnQYhBj2CB4dBq9W0XMXevKLVaJrfGwgPa/RXfm1zLikpgcViQUlJCXw+H3JzcwEA8fHxUKvV2LFjByorKzF+/Hio1Wrk5eXh+eefx+TJkxEbGwsAOHnyJJYuXYo9e/YgMjISSUlJmDt3LlasWIF169bB4/Fg5cqVeOSRR1p6aiQlJbWqIzs7GxzHYeTIkS3vvfLKK5g0aRLi4+NhtVrx+uuvo7i4GL/4xS/8+ZEQP2lsbMSx0+dgGjwqoO748z4fvB43fF4PvB4PfF4P3E4HGm11aLRZ4bLXgzkbAI8TCqkYcgkHtVKBQaZghMWEwWhMhE6ng1arbXlpNBpIJAFxu4j4kV//hV966SV89NFHLV/fnDZm3759mDZtGpRKJdavX49nn30WLpcL0dHRePDBB7F69eqWbRwOBwoKCuDxeFre27hxI1auXIkZM2aA4zgsWrQIb775Zrdqq6urw4oVK1BRUQGDwYDU1FQcPXoUw4cPv8OzJkLIz89Htc2J5MkJQpfSSta3n0HqaQTHiSDmRBCLRJCIRdCqlIg3mxAxPB4hISEIDg6G0WiEXq+HSqUKqF8wRBgixhgTuoi+ymazQafTob6+nroDCeybb77Bp3tPIXXuI0KX0sqZA99gsNyBnz36CORyOaRSacsNNQrggamruUF/G5F+obK6GmJl8zc6z/PwuJrgdjrhcTXB43aB9/kglkgglkjBiSXf/78EYrEUUoUCYnHP/yi4nU1QG0Jx7VoufD5fh100CWkPhTPpF8oqqtFQU43sf34M3tMECSeClOMgEYsg4ZrHTuEZa37xAM8YfIyB5xm8TASxJgSG8EEIiYiBWh/c7atan8+LBksN6msqYa2pgNtWA85tR5BcguhQPV0lk26jcCb9wl3pE5E83Npyw0ytVkOlUkGlUkGpVEIsFsPj8bT7slgsKCgsxLmLBbh6OQcukRwKYwS0waGQSKUQS6TfX2U3/7i4nU1wu5rgdjbB1eRAU30NmMMKpUQEXZAcE2KiMThtEqKiohAZGQmDwUDhTLqN2pzvALU59y9erxclJSUoKipC3sUClJRVwuv1gWffX2nzzT8qUjEHuUwCnToIOq0G0RFmREVFISoqCmFhYdSTgnSqq7lB4XwHKJz7P5/P1+oqmzGGoKAgyOVyuhomt4VuCBLSA8RiMcRiMY31TXodzRFPCCEBiMKZEEICEIUzIYQEIApnQggJQBTOhBASgCicCSEkAFE4E0JIAKJwJoSQAEThTAghAYjCmRBCAhCFMyGEBCAKZ0IICUAUzoQQEoBoVLo7cHO0VZvNJnAlhJC+4mZe3Gq0ZgrnO9DQ0AAAiI6OFrgSQkhf09DQAJ1O1+FyGmz/DvA8j7KyMmg0moAYeN1msyE6OhrXr1/vk4P/U/3Covp7B2MMDQ0NiIiIAMd13LJMV853gOO4gJxRWavVBvQ3561Q/cKi+v2vsyvmm+iGICGEBCAKZ0IICUAUzv2IXC7Hyy+/DLlcLnQpt4XqFxbVH1johiAhhAQgunImhJAAROFMCCEBiMKZEEICEIUzIYQEIApnAfztb39DcnJyS2f5tLQ0fPvtty3Lf/nLX2LIkCFQKpUwmUxYuHAhLl682OX9/+pXv4JIJMJf//rXVu8XFhZi4cKFCAkJgVarxZQpU7Bv375W65SUlGD+/PlQqVQIDQ3F888/D6/X22fqF4lEbV6fffZZQNSfk5ODWbNmQa/XIzg4GE8++STsdnurdQL58+9K/UJ9/suWLWtz3Llz57Zax2KxYMmSJdBqtdDr9XjiiSfa1H/27FlkZGRAoVAgOjoa//Vf/9XVj63HUTgLICoqCn/+859x6tQpZGdn4+6778bChQuRl5cHAEhNTcWHH36I/Px8fPfdd2CMYfbs2fD5fLfc99dff43jx48jIiKizbIFCxbA6/Vi7969OHXqFEaPHo0FCxagoqICAODz+TB//ny43W4cPXoUH330ETZs2ICXXnqpT9R/04cffojy8vKW1/333y94/WVlZZg5cybi4+Nx4sQJ7Ny5E3l5eVi2bFnLOoH8+Xel/puE+vznzp3b6riffvppq+VLlixBXl4eMjMzsX37dhw8eBBPPvlky3KbzYbZs2cjJiYGp06dwuuvv47/+3//L959991bfm5+wUhAMBgM7L333mt32ZkzZxgAVlRU1Ok+SktLWWRkJDt//jyLiYlha9eubVlWXV3NALCDBw+2vGez2RgAlpmZyRhjbMeOHYzjOFZRUdGyzt/+9jem1WqZy+UK+PoZYwwA+/rrrzs9jhD1v/POOyw0NJT5fL6W986ePcsAsEuXLjHGAvvz70r9jAn3+f/85z9nCxcu7HD5hQsXGACWlZXV8t63337LRCIRu3HjBmOMsbfffpsZDIZWn/V//Md/sISEhG6eTc+gK2eB+Xw+fPbZZ2hsbERaWlqb5Y2Njfjwww8xePDgTke/43kejz32GJ5//nmMGDGizfLg4GAkJCTg448/RmNjI7xeL9555x2EhoYiNTUVAHDs2DGMGjUKYWFhLdvNmTMHNput5aomkOu/6emnn0ZISAgmTJiADz74oNOhGXurfpfLBZlM1mqgG6VSCQA4fPgwgMD+/LtS/01CfP4AsH//foSGhiIhIQFPPfUUamtrW5YdO3YMer0e48aNa3lv5syZ4DgOJ06caFnnrrvugkwma1lnzpw5KCgoQF1dXafH9gtBfiUQdvbsWRYUFMTEYjHT6XTsm2++abX8f//3f1lQUBADwBISEm551fOnP/2JzZo1i/E8zxhjba58GGPs+vXrLDU1lYlEIiYWi1l4eDjLyclpWb5ixQo2e/bsVts0NjYyAGzHjh0BXz9jjL3yyivs8OHDLCcnh/35z39mcrmc/fd//3eb4/V2/efPn2cSiYT913/9F3O5XMxisbBFixYxAOxPf/oTYyywP/+u1M+YcJ//p59+yrZu3crOnj3Lvv76a5aUlMTGjx/PvF4vY4yxV199lQ0bNqzNdiaTib399tuMMcZmzZrFnnzyyVbL8/LyGAB24cKFTo/vDxTOAnG5XOzSpUssOzubrV69moWEhLC8vLyW5VarlRUWFrIDBw6we++9l40dO5Y1NTW1u6/s7GwWFhbW8ucZY21/uHieZ/fddx+755572OHDh9mpU6fYU089xSIjI1lZWRljrHvhEIj1t+fFF19kUVFRbd7v7foZY2zjxo0sLCyMicViJpPJ2G9/+1sWFhbG/vznPzPGAvvz70r97emNz789ly9fZgDY7t27GWMUzuQOzJgxo803xk0ul4upVCq2adOmdpevXbu25Wry5gsA4ziOxcTEMMYY2717N+M4jtXX17faNj4+nq1Zs4Yx1vyDNHr06FbLr1y5wgC0uUINxPrbs337dgaAOZ1OQev/oYqKCtbQ0MDsdjvjOI598cUXjLHA/vy7Un97euPz70hISAhbt24dY4yx999/n+n1+lbLPR4PE4vFbPPmzYwxxh577LE27dZ79+5lAJjFYunWsXsCtTkHCJ7n4XK52l3Gmn+Jdrj8sccew9mzZ5Gbm9vyioiIwPPPP4/vvvsOAOBwOACgzeDeHMeB53kAQFpaGs6dO4eqqqqW5ZmZmdBqtRg+fHjA19+e3NxcGAyGWw6G4+/6fygsLAxqtRqff/45FAoFZs2aBSCwP/+u1N+e3vj821NaWora2lqEh4cDaP5srVYrTp061bLO3r17wfM8Jk6c2LLOwYMH4fF4WtbJzMxEQkICDAZDl4/dY3r91wFhq1evZgcOHGBXr15lZ8+eZatXr2YikYjt2rWLXb58mf3pT39i2dnZrLi4mB05coTde++9zGg0ssrKypZ9JCQktPzGb097vR2Cg4PZgw8+yHJzc1lBQQH77W9/y6RSKcvNzWWMMeb1etnIkSPZ7NmzWW5uLtu5cyczmUzshRde6BP1b9u2ja1fv56dO3eOXbp0ib399ttMpVKxl156SfD6GWPsrbfeYqdOnWIFBQXsf/7nf5hSqWzVHhvIn39X6hfq829oaGC//e1v2bFjx9jVq1fZ7t272dixY9nQoUNbXbHPnTuXpaSksBMnTrDDhw+zoUOHssWLF7cst1qtLCwsjD322GPs/Pnz7LPPPmMqlYq98847HX5O/kThLIDHH3+cxcTEMJlMxkwmE5sxYwbbtWsXY4yxGzdusHvuuYeFhoYyqVTKoqKi2KOPPsouXrzYah8A2IcfftjhMdr74crKymKzZ89mRqORaTQaNmnSpDZtmdeuXWP33HMPUyqVLCQkhK1atYp5PJ4+Uf+3337LxowZw9RqNQsKCmKjR49m69ata9X9S8j6H3vsMWY0GplMJmPJycns448/brNdIH/+t6pfqM/f4XCw2bNnM5PJxKRSKYuJiWErVqxo1SWRMcZqa2vZ4sWLmVqtZlqtli1fvpw1NDS0WufMmTNsypQpTC6Xs8jIyE7b0/2NhgwlhJAARG3OhBASgCicCSEkAFE4E0JIAKJwJoSQAEThTAghAYjCmRBCAhCFMyGEBCAKZ0IICUAUzoQQEoAonAkhJABROBNCSACicCaEkAD0/wP5+COG+4+S/AAAAABJRU5ErkJggg==\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "In contrast, when using `difference`, we obtain only those geometries which are part of one GeoDataFrame, and not part of the other.\n",
        "\n",
        "Here we obtain all buildings which do not intersect with our chosen region of interest."
      ],
      "metadata": {
        "id": "e-bKcPLl5Ehb"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Example: Difference of building boundaries for a region of interest\n",
        "boundary = boundaries[boundaries['GID_3'] == \"MWI.9.1.7_1\"]\n",
        "boundaries.plot(alpha=0.5, edgecolor='k') #original df\n",
        "boundary.plot(alpha=0.5, edgecolor='k') #new df\n",
        "\n",
        "buildings_subset = buildings.overlay(boundary, how='difference')\n",
        "print(len(buildings_subset))\n",
        "buildings_subset.plot(edgecolor='k')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 466
        },
        "id": "KY3vvuOozq_8",
        "outputId": "14521af3-1686-4505-a846-9fee8b3fd87d"
      },
      "execution_count": 43,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "5257\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<Axes: >"
            ]
          },
          "metadata": {},
          "execution_count": 43
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Task\n",
        "\n",
        "OpenStreetMap has a wealth of spatial data which we can apply to spatial computing tasks. We will want to utilize this resource to help us to develop a script which subsets key datasets of interest for a capital region.\n",
        "\n",
        "1.   Select a small country (e.g., so you can easily download and intersect the available data). Think Rwanda, Liechtenstein, Tuvalu, Malta, Monaco etc.\n",
        "2.   Download OSM data from the GeoFabrik server (.shp may be easiest).\n",
        "3.   Download the associated boundaries from GADM for your selected country (.shp may be easiest).\n",
        "4.   Subset a boundary shape for the capital city region.\n",
        "5.   Write code to intersect and export the road and rail network, and Points of Interest (PoIs).\n",
        "\n",
        "\n"
      ],
      "metadata": {
        "id": "3aWsA2fRuWaH"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "Task\n",
        "\n",
        "Should you manage to complete the previous task, you should attempt the following:\n",
        "\n",
        "\n",
        "1.   Load in the building dataset for your chosen country.\n",
        "2.   Try to estimate the ground-floor building area in square meters.\n",
        "3.   Consider different scenarios for estimating the total building floorspace where the mean building height is 2, 3, or 4 floors high.\n",
        "\n",
        "We have covered the steps for this in a previous class, where we took the geometry area of a chosen polygon or set of polygons. You need to work out how to implement this within the example.  \n"
      ],
      "metadata": {
        "id": "Ex-ldDp89udh"
      }
    }
  ]
}