notebooks/covid-19-lockdowns.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "0": [
      "org"
    ],
    "1": null,
    "2": null,
    "colab": {
      "name": "covid-19-lockdowns.ipynb",
      "provenance": [],
      "collapsed_sections": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "IRYp9hR9SP6L",
        "colab_type": "text"
      },
      "source": [
        "## Setup\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "_T1q2qEkSP6R",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 512
        },
        "outputId": "f75bbaf8-5e56-475a-e8f5-69d80c653523"
      },
      "source": [
        "!pip install --quiet poetry  # Fixes https://github.com/python-poetry/poetry/issues/532\n",
        "!pip install --quiet git+https://github.com/oughtinc/ergo.git@dccf8cd526a0e7367aa1fef086f042d7eaa53aa3\n",
        "!pip install --quiet plotnine"
      ],
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "\u001b[?25l\r\u001b[K     |█▌                              | 10kB 11.1MB/s eta 0:00:01\r\u001b[K     |███                             | 20kB 1.8MB/s eta 0:00:01\r\u001b[K     |████▌                           | 30kB 2.3MB/s eta 0:00:01\r\u001b[K     |██████                          | 40kB 1.7MB/s eta 0:00:01\r\u001b[K     |███████▍                        | 51kB 1.9MB/s eta 0:00:01\r\u001b[K     |█████████                       | 61kB 2.2MB/s eta 0:00:01\r\u001b[K     |██████████▍                     | 71kB 2.4MB/s eta 0:00:01\r\u001b[K     |███████████▉                    | 81kB 2.5MB/s eta 0:00:01\r\u001b[K     |█████████████▍                  | 92kB 2.8MB/s eta 0:00:01\r\u001b[K     |██████████████▉                 | 102kB 2.8MB/s eta 0:00:01\r\u001b[K     |████████████████▎               | 112kB 2.8MB/s eta 0:00:01\r\u001b[K     |█████████████████▉              | 122kB 2.8MB/s eta 0:00:01\r\u001b[K     |███████████████████▎            | 133kB 2.8MB/s eta 0:00:01\r\u001b[K     |████████████████████▊           | 143kB 2.8MB/s eta 0:00:01\r\u001b[K     |██████████████████████▎         | 153kB 2.8MB/s eta 0:00:01\r\u001b[K     |███████████████████████▊        | 163kB 2.8MB/s eta 0:00:01\r\u001b[K     |█████████████████████████▎      | 174kB 2.8MB/s eta 0:00:01\r\u001b[K     |██████████████████████████▊     | 184kB 2.8MB/s eta 0:00:01\r\u001b[K     |████████████████████████████▏   | 194kB 2.8MB/s eta 0:00:01\r\u001b[K     |█████████████████████████████▊  | 204kB 2.8MB/s eta 0:00:01\r\u001b[K     |███████████████████████████████▏| 215kB 2.8MB/s eta 0:00:01\r\u001b[K     |████████████████████████████████| 225kB 2.8MB/s \n",
            "\u001b[?25h\u001b[?25l\r\u001b[K     |██████                          | 10kB 28.0MB/s eta 0:00:01\r\u001b[K     |████████████                    | 20kB 23.9MB/s eta 0:00:01\r\u001b[K     |██████████████████              | 30kB 29.7MB/s eta 0:00:01\r\u001b[K     |████████████████████████▏       | 40kB 15.0MB/s eta 0:00:01\r\u001b[K     |██████████████████████████████▏ | 51kB 14.5MB/s eta 0:00:01\r\u001b[K     |████████████████████████████████| 61kB 6.7MB/s \n",
            "\u001b[?25h\u001b[?25l\r\u001b[K     |███▏                            | 10kB 28.6MB/s eta 0:00:01\r\u001b[K     |██████▎                         | 20kB 33.8MB/s eta 0:00:01\r\u001b[K     |█████████▍                      | 30kB 37.7MB/s eta 0:00:01\r\u001b[K     |████████████▌                   | 40kB 17.2MB/s eta 0:00:01\r\u001b[K     |███████████████▊                | 51kB 11.7MB/s eta 0:00:01\r\u001b[K     |██████████████████▉             | 61kB 13.5MB/s eta 0:00:01\r\u001b[K     |██████████████████████          | 71kB 11.6MB/s eta 0:00:01\r\u001b[K     |█████████████████████████       | 81kB 10.2MB/s eta 0:00:01\r\u001b[K     |████████████████████████████▏   | 92kB 11.3MB/s eta 0:00:01\r\u001b[K     |███████████████████████████████▍| 102kB 9.1MB/s eta 0:00:01\r\u001b[K     |████████████████████████████████| 112kB 9.1MB/s \n",
            "\u001b[?25h\u001b[?25l\r\u001b[K     |█████▉                          | 10kB 26.0MB/s eta 0:00:01\r\u001b[K     |███████████▋                    | 20kB 15.0MB/s eta 0:00:01\r\u001b[K     |█████████████████▌              | 30kB 19.7MB/s eta 0:00:01\r\u001b[K     |███████████████████████▎        | 40kB 13.7MB/s eta 0:00:01\r\u001b[K     |█████████████████████████████   | 51kB 13.3MB/s eta 0:00:01\r\u001b[K     |████████████████████████████████| 61kB 6.2MB/s \n",
            "\u001b[?25h\u001b[?25l\r\u001b[K     |███▊                            | 10kB 31.7MB/s eta 0:00:01\r\u001b[K     |███████▍                        | 20kB 19.8MB/s eta 0:00:01\r\u001b[K     |███████████                     | 30kB 25.2MB/s eta 0:00:01\r\u001b[K     |██████████████▉                 | 40kB 13.8MB/s eta 0:00:01\r\u001b[K     |██████████████████▌             | 51kB 10.7MB/s eta 0:00:01\r\u001b[K     |██████████████████████▏         | 61kB 12.4MB/s eta 0:00:01\r\u001b[K     |██████████████████████████      | 71kB 10.6MB/s eta 0:00:01\r\u001b[K     |█████████████████████████████▋  | 81kB 10.7MB/s eta 0:00:01\r\u001b[K     |████████████████████████████████| 92kB 6.7MB/s \n",
            "\u001b[?25h\u001b[?25l\r\u001b[K     |▏                               | 10kB 26.4MB/s eta 0:00:01\r\u001b[K     |▎                               | 20kB 26.9MB/s eta 0:00:01\r\u001b[K     |▍                               | 30kB 32.9MB/s eta 0:00:01\r\u001b[K     |▌                               | 40kB 15.7MB/s eta 0:00:01\r\u001b[K     |▋                               | 51kB 11.6MB/s eta 0:00:01\r\u001b[K     |▊                               | 61kB 13.4MB/s eta 0:00:01\r\u001b[K     |▉                               | 71kB 11.5MB/s eta 0:00:01\r\u001b[K     |█                               | 81kB 10.1MB/s eta 0:00:01\r\u001b[K     |█                               | 92kB 11.1MB/s eta 0:00:01\r\u001b[K     |█▏                              | 102kB 8.5MB/s eta 0:00:01\r\u001b[K     |█▍                              | 112kB 8.5MB/s eta 0:00:01\r\u001b[K     |█▌                              | 122kB 8.5MB/s eta 0:00:01\r\u001b[K     |█▋                              | 133kB 8.5MB/s eta 0:00:01\r\u001b[K     |█▊                              | 143kB 8.5MB/s eta 0:00:01\r\u001b[K     |█▉                              | 153kB 8.5MB/s eta 0:00:01\r\u001b[K     |██                              | 163kB 8.5MB/s eta 0:00:01\r\u001b[K     |██                              | 174kB 8.5MB/s eta 0:00:01\r\u001b[K     |██▏                             | 184kB 8.5MB/s eta 0:00:01\r\u001b[K     |██▎                             | 194kB 8.5MB/s eta 0:00:01\r\u001b[K     |██▍                             | 204kB 8.5MB/s eta 0:00:01\r\u001b[K     |██▋                             | 215kB 8.5MB/s eta 0:00:01\r\u001b[K     |██▊                             | 225kB 8.5MB/s eta 0:00:01\r\u001b[K     |██▉                             | 235kB 8.5MB/s eta 0:00:01\r\u001b[K     |███                             | 245kB 8.5MB/s eta 0:00:01\r\u001b[K     |███                             | 256kB 8.5MB/s eta 0:00:01\r\u001b[K     |███▏                            | 266kB 8.5MB/s eta 0:00:01\r\u001b[K     |███▎                            | 276kB 8.5MB/s eta 0:00:01\r\u001b[K     |███▍                            | 286kB 8.5MB/s eta 0:00:01\r\u001b[K     |███▌                            | 296kB 8.5MB/s eta 0:00:01\r\u001b[K     |███▋                            | 307kB 8.5MB/s eta 0:00:01\r\u001b[K     |███▉                            | 317kB 8.5MB/s eta 0:00:01\r\u001b[K     |████                            | 327kB 8.5MB/s eta 0:00:01\r\u001b[K     |████                            | 337kB 8.5MB/s eta 0:00:01\r\u001b[K     |████▏                           | 348kB 8.5MB/s eta 0:00:01\r\u001b[K     |████▎                           | 358kB 8.5MB/s eta 0:00:01\r\u001b[K     |████▍                           | 368kB 8.5MB/s eta 0:00:01\r\u001b[K     |████▌                           | 378kB 8.5MB/s eta 0:00:01\r\u001b[K     |████▋                           | 389kB 8.5MB/s eta 0:00:01\r\u001b[K     |████▊                           | 399kB 8.5MB/s eta 0:00:01\r\u001b[K     |████▉                           | 409kB 8.5MB/s eta 0:00:01\r\u001b[K     |█████                           | 419kB 8.5MB/s eta 0:00:01\r\u001b[K     |█████▏                          | 430kB 8.5MB/s eta 0:00:01\r\u001b[K     |█████▎                          | 440kB 8.5MB/s eta 0:00:01\r\u001b[K     |█████▍                          | 450kB 8.5MB/s eta 0:00:01\r\u001b[K     |█████▌                          | 460kB 8.5MB/s eta 0:00:01\r\u001b[K     |█████▋                          | 471kB 8.5MB/s eta 0:00:01\r\u001b[K     |█████▊                          | 481kB 8.5MB/s eta 0:00:01\r\u001b[K     |█████▉                          | 491kB 8.5MB/s eta 0:00:01\r\u001b[K     |██████                          | 501kB 8.5MB/s eta 0:00:01\r\u001b[K     |██████                          | 512kB 8.5MB/s eta 0:00:01\r\u001b[K     |██████▎                         | 522kB 8.5MB/s eta 0:00:01\r\u001b[K     |██████▍                         | 532kB 8.5MB/s eta 0:00:01\r\u001b[K     |██████▌                         | 542kB 8.5MB/s eta 0:00:01\r\u001b[K     |██████▋                         | 552kB 8.5MB/s eta 0:00:01\r\u001b[K     |██████▊                         | 563kB 8.5MB/s eta 0:00:01\r\u001b[K     |██████▉                         | 573kB 8.5MB/s eta 0:00:01\r\u001b[K     |███████                         | 583kB 8.5MB/s eta 0:00:01\r\u001b[K     |███████                         | 593kB 8.5MB/s eta 0:00:01\r\u001b[K     |███████▏                        | 604kB 8.5MB/s eta 0:00:01\r\u001b[K     |███████▎                        | 614kB 8.5MB/s eta 0:00:01\r\u001b[K     |███████▌                        | 624kB 8.5MB/s eta 0:00:01\r\u001b[K     |███████▋                        | 634kB 8.5MB/s eta 0:00:01\r\u001b[K     |███████▊                        | 645kB 8.5MB/s eta 0:00:01\r\u001b[K     |███████▉                        | 655kB 8.5MB/s eta 0:00:01\r\u001b[K     |████████                        | 665kB 8.5MB/s eta 0:00:01\r\u001b[K     |████████                        | 675kB 8.5MB/s eta 0:00:01\r\u001b[K     |████████▏                       | 686kB 8.5MB/s eta 0:00:01\r\u001b[K     |████████▎                       | 696kB 8.5MB/s eta 0:00:01\r\u001b[K     |████████▍                       | 706kB 8.5MB/s eta 0:00:01\r\u001b[K     |████████▌                       | 716kB 8.5MB/s eta 0:00:01\r\u001b[K     |████████▊                       | 727kB 8.5MB/s eta 0:00:01\r\u001b[K     |████████▉                       | 737kB 8.5MB/s eta 0:00:01\r\u001b[K     |█████████                       | 747kB 8.5MB/s eta 0:00:01\r\u001b[K     |█████████                       | 757kB 8.5MB/s eta 0:00:01\r\u001b[K     |█████████▏                      | 768kB 8.5MB/s eta 0:00:01\r\u001b[K     |█████████▎                      | 778kB 8.5MB/s eta 0:00:01\r\u001b[K     |█████████▍                      | 788kB 8.5MB/s eta 0:00:01\r\u001b[K     |█████████▌                      | 798kB 8.5MB/s eta 0:00:01\r\u001b[K     |█████████▋                      | 808kB 8.5MB/s eta 0:00:01\r\u001b[K     |█████████▊                      | 819kB 8.5MB/s eta 0:00:01\r\u001b[K     |██████████                      | 829kB 8.5MB/s eta 0:00:01\r\u001b[K     |██████████                      | 839kB 8.5MB/s eta 0:00:01\r\u001b[K     |██████████▏                     | 849kB 8.5MB/s eta 0:00:01\r\u001b[K     |██████████▎                     | 860kB 8.5MB/s eta 0:00:01\r\u001b[K     |██████████▍                     | 870kB 8.5MB/s eta 0:00:01\r\u001b[K     |██████████▌                     | 880kB 8.5MB/s eta 0:00:01\r\u001b[K     |██████████▋                     | 890kB 8.5MB/s eta 0:00:01\r\u001b[K     |██████████▊                     | 901kB 8.5MB/s eta 0:00:01\r\u001b[K     |██████████▉                     | 911kB 8.5MB/s eta 0:00:01\r\u001b[K     |███████████                     | 921kB 8.5MB/s eta 0:00:01\r\u001b[K     |███████████▏                    | 931kB 8.5MB/s eta 0:00:01\r\u001b[K     |███████████▎                    | 942kB 8.5MB/s eta 0:00:01\r\u001b[K     |███████████▍                    | 952kB 8.5MB/s eta 0:00:01\r\u001b[K     |███████████▌                    | 962kB 8.5MB/s eta 0:00:01\r\u001b[K     |███████████▋                    | 972kB 8.5MB/s eta 0:00:01\r\u001b[K     |███████████▊                    | 983kB 8.5MB/s eta 0:00:01\r\u001b[K     |███████████▉                    | 993kB 8.5MB/s eta 0:00:01\r\u001b[K     |████████████                    | 1.0MB 8.5MB/s eta 0:00:01\r\u001b[K     |████████████                    | 1.0MB 8.5MB/s eta 0:00:01\r\u001b[K     |████████████▏                   | 1.0MB 8.5MB/s eta 0:00:01\r\u001b[K     |████████████▍                   | 1.0MB 8.5MB/s eta 0:00:01\r\u001b[K     |████████████▌                   | 1.0MB 8.5MB/s eta 0:00:01\r\u001b[K     |████████████▋                   | 1.1MB 8.5MB/s eta 0:00:01\r\u001b[K     |████████████▊                   | 1.1MB 8.5MB/s eta 0:00:01\r\u001b[K     |████████████▉                   | 1.1MB 8.5MB/s eta 0:00:01\r\u001b[K     |█████████████                   | 1.1MB 8.5MB/s eta 0:00:01\r\u001b[K     |█████████████                   | 1.1MB 8.5MB/s eta 0:00:01\r\u001b[K     |█████████████▏                  | 1.1MB 8.5MB/s eta 0:00:01\r\u001b[K     |█████████████▎                  | 1.1MB 8.5MB/s eta 0:00:01\r\u001b[K     |█████████████▍                  | 1.1MB 8.5MB/s eta 0:00:01\r\u001b[K     |█████████████▌                  | 1.1MB 8.5MB/s eta 0:00:01\r\u001b[K     |█████████████▊                  | 1.1MB 8.5MB/s eta 0:00:01\r\u001b[K     |█████████████▉                  | 1.2MB 8.5MB/s eta 0:00:01\r\u001b[K     |██████████████                  | 1.2MB 8.5MB/s eta 0:00:01\r\u001b[K     |██████████████                  | 1.2MB 8.5MB/s eta 0:00:01\r\u001b[K     |██████████████▏                 | 1.2MB 8.5MB/s eta 0:00:01\r\u001b[K     |██████████████▎                 | 1.2MB 8.5MB/s eta 0:00:01\r\u001b[K     |██████████████▍                 | 1.2MB 8.5MB/s eta 0:00:01\r\u001b[K     |██████████████▌                 | 1.2MB 8.5MB/s eta 0:00:01\r\u001b[K     |██████████████▋                 | 1.2MB 8.5MB/s eta 0:00:01\r\u001b[K     |██████████████▊                 | 1.2MB 8.5MB/s eta 0:00:01\r\u001b[K     |███████████████                 | 1.2MB 8.5MB/s eta 0:00:01\r\u001b[K     |███████████████                 | 1.3MB 8.5MB/s eta 0:00:01\r\u001b[K     |███████████████▏                | 1.3MB 8.5MB/s eta 0:00:01\r\u001b[K     |███████████████▎                | 1.3MB 8.5MB/s eta 0:00:01\r\u001b[K     |███████████████▍                | 1.3MB 8.5MB/s eta 0:00:01\r\u001b[K     |███████████████▌                | 1.3MB 8.5MB/s eta 0:00:01\r\u001b[K     |███████████████▋                | 1.3MB 8.5MB/s eta 0:00:01\r\u001b[K     |███████████████▊                | 1.3MB 8.5MB/s eta 0:00:01\r\u001b[K     |███████████████▉                | 1.3MB 8.5MB/s eta 0:00:01\r\u001b[K     |████████████████                | 1.3MB 8.5MB/s eta 0:00:01\r\u001b[K     |████████████████▏               | 1.4MB 8.5MB/s eta 0:00:01\r\u001b[K     |████████████████▎               | 1.4MB 8.5MB/s eta 0:00:01\r\u001b[K     |████████████████▍               | 1.4MB 8.5MB/s eta 0:00:01\r\u001b[K     |████████████████▌               | 1.4MB 8.5MB/s eta 0:00:01\r\u001b[K     |████████████████▋               | 1.4MB 8.5MB/s eta 0:00:01\r\u001b[K     |████████████████▊               | 1.4MB 8.5MB/s eta 0:00:01\r\u001b[K     |████████████████▉               | 1.4MB 8.5MB/s eta 0:00:01\r\u001b[K     |█████████████████               | 1.4MB 8.5MB/s eta 0:00:01\r\u001b[K     |█████████████████               | 1.4MB 8.5MB/s eta 0:00:01\r\u001b[K     |█████████████████▏              | 1.4MB 8.5MB/s eta 0:00:01\r\u001b[K     |█████████████████▍              | 1.5MB 8.5MB/s eta 0:00:01\r\u001b[K     |█████████████████▌              | 1.5MB 8.5MB/s eta 0:00:01\r\u001b[K     |█████████████████▋              | 1.5MB 8.5MB/s eta 0:00:01\r\u001b[K     |█████████████████▊              | 1.5MB 8.5MB/s eta 0:00:01\r\u001b[K     |█████████████████▉              | 1.5MB 8.5MB/s eta 0:00:01\r\u001b[K     |██████████████████              | 1.5MB 8.5MB/s eta 0:00:01\r\u001b[K     |██████████████████              | 1.5MB 8.5MB/s eta 0:00:01\r\u001b[K     |██████████████████▏             | 1.5MB 8.5MB/s eta 0:00:01\r\u001b[K     |██████████████████▎             | 1.5MB 8.5MB/s eta 0:00:01\r\u001b[K     |██████████████████▍             | 1.5MB 8.5MB/s eta 0:00:01\r\u001b[K     |██████████████████▋             | 1.6MB 8.5MB/s eta 0:00:01\r\u001b[K     |██████████████████▊             | 1.6MB 8.5MB/s eta 0:00:01\r\u001b[K     |██████████████████▉             | 1.6MB 8.5MB/s eta 0:00:01\r\u001b[K     |███████████████████             | 1.6MB 8.5MB/s eta 0:00:01\r\u001b[K     |███████████████████             | 1.6MB 8.5MB/s eta 0:00:01\r\u001b[K     |███████████████████▏            | 1.6MB 8.5MB/s eta 0:00:01\r\u001b[K     |███████████████████▎            | 1.6MB 8.5MB/s eta 0:00:01\r\u001b[K     |███████████████████▍            | 1.6MB 8.5MB/s eta 0:00:01\r\u001b[K     |███████████████████▌            | 1.6MB 8.5MB/s eta 0:00:01\r\u001b[K     |███████████████████▋            | 1.6MB 8.5MB/s eta 0:00:01\r\u001b[K     |███████████████████▉            | 1.7MB 8.5MB/s eta 0:00:01\r\u001b[K     |████████████████████            | 1.7MB 8.5MB/s eta 0:00:01\r\u001b[K     |████████████████████            | 1.7MB 8.5MB/s eta 0:00:01\r\u001b[K     |████████████████████▏           | 1.7MB 8.5MB/s eta 0:00:01\r\u001b[K     |████████████████████▎           | 1.7MB 8.5MB/s eta 0:00:01\r\u001b[K     |████████████████████▍           | 1.7MB 8.5MB/s eta 0:00:01\r\u001b[K     |████████████████████▌           | 1.7MB 8.5MB/s eta 0:00:01\r\u001b[K     |████████████████████▋           | 1.7MB 8.5MB/s eta 0:00:01\r\u001b[K     |████████████████████▊           | 1.7MB 8.5MB/s eta 0:00:01\r\u001b[K     |████████████████████▉           | 1.8MB 8.5MB/s eta 0:00:01\r\u001b[K     |█████████████████████           | 1.8MB 8.5MB/s eta 0:00:01\r\u001b[K     |█████████████████████▏          | 1.8MB 8.5MB/s eta 0:00:01\r\u001b[K     |█████████████████████▎          | 1.8MB 8.5MB/s eta 0:00:01\r\u001b[K     |█████████████████████▍          | 1.8MB 8.5MB/s eta 0:00:01\r\u001b[K     |█████████████████████▌          | 1.8MB 8.5MB/s eta 0:00:01\r\u001b[K     |█████████████████████▋          | 1.8MB 8.5MB/s eta 0:00:01\r\u001b[K     |█████████████████████▊          | 1.8MB 8.5MB/s eta 0:00:01\r\u001b[K     |█████████████████████▉          | 1.8MB 8.5MB/s eta 0:00:01\r\u001b[K     |██████████████████████          | 1.8MB 8.5MB/s eta 0:00:01\r\u001b[K     |██████████████████████          | 1.9MB 8.5MB/s eta 0:00:01\r\u001b[K     |██████████████████████▎         | 1.9MB 8.5MB/s eta 0:00:01\r\u001b[K     |██████████████████████▍         | 1.9MB 8.5MB/s eta 0:00:01\r\u001b[K     |██████████████████████▌         | 1.9MB 8.5MB/s eta 0:00:01\r\u001b[K     |██████████████████████▋         | 1.9MB 8.5MB/s eta 0:00:01\r\u001b[K     |██████████████████████▊         | 1.9MB 8.5MB/s eta 0:00:01\r\u001b[K     |██████████████████████▉         | 1.9MB 8.5MB/s eta 0:00:01\r\u001b[K     |███████████████████████         | 1.9MB 8.5MB/s eta 0:00:01\r\u001b[K     |███████████████████████         | 1.9MB 8.5MB/s eta 0:00:01\r\u001b[K     |███████████████████████▏        | 1.9MB 8.5MB/s eta 0:00:01\r\u001b[K     |███████████████████████▎        | 2.0MB 8.5MB/s eta 0:00:01\r\u001b[K     |███████████████████████▌        | 2.0MB 8.5MB/s eta 0:00:01\r\u001b[K     |███████████████████████▋        | 2.0MB 8.5MB/s eta 0:00:01\r\u001b[K     |███████████████████████▊        | 2.0MB 8.5MB/s eta 0:00:01\r\u001b[K     |███████████████████████▉        | 2.0MB 8.5MB/s eta 0:00:01\r\u001b[K     |████████████████████████        | 2.0MB 8.5MB/s eta 0:00:01\r\u001b[K     |████████████████████████        | 2.0MB 8.5MB/s eta 0:00:01\r\u001b[K     |████████████████████████▏       | 2.0MB 8.5MB/s eta 0:00:01\r\u001b[K     |████████████████████████▎       | 2.0MB 8.5MB/s eta 0:00:01\r\u001b[K     |████████████████████████▍       | 2.0MB 8.5MB/s eta 0:00:01\r\u001b[K     |████████████████████████▌       | 2.1MB 8.5MB/s eta 0:00:01\r\u001b[K     |████████████████████████▊       | 2.1MB 8.5MB/s eta 0:00:01\r\u001b[K     |████████████████████████▉       | 2.1MB 8.5MB/s eta 0:00:01\r\u001b[K     |█████████████████████████       | 2.1MB 8.5MB/s eta 0:00:01\r\u001b[K     |█████████████████████████       | 2.1MB 8.5MB/s eta 0:00:01\r\u001b[K     |█████████████████████████▏      | 2.1MB 8.5MB/s eta 0:00:01\r\u001b[K     |█████████████████████████▎      | 2.1MB 8.5MB/s eta 0:00:01\r\u001b[K     |█████████████████████████▍      | 2.1MB 8.5MB/s eta 0:00:01\r\u001b[K     |█████████████████████████▌      | 2.1MB 8.5MB/s eta 0:00:01\r\u001b[K     |█████████████████████████▋      | 2.2MB 8.5MB/s eta 0:00:01\r\u001b[K     |█████████████████████████▊      | 2.2MB 8.5MB/s eta 0:00:01\r\u001b[K     |██████████████████████████      | 2.2MB 8.5MB/s eta 0:00:01\r\u001b[K     |██████████████████████████      | 2.2MB 8.5MB/s eta 0:00:01\r\u001b[K     |██████████████████████████▏     | 2.2MB 8.5MB/s eta 0:00:01\r\u001b[K     |██████████████████████████▎     | 2.2MB 8.5MB/s eta 0:00:01\r\u001b[K     |██████████████████████████▍     | 2.2MB 8.5MB/s eta 0:00:01\r\u001b[K     |██████████████████████████▌     | 2.2MB 8.5MB/s eta 0:00:01\r\u001b[K     |██████████████████████████▋     | 2.2MB 8.5MB/s eta 0:00:01\r\u001b[K     |██████████████████████████▊     | 2.2MB 8.5MB/s eta 0:00:01\r\u001b[K     |██████████████████████████▉     | 2.3MB 8.5MB/s eta 0:00:01\r\u001b[K     |███████████████████████████     | 2.3MB 8.5MB/s eta 0:00:01\r\u001b[K     |███████████████████████████     | 2.3MB 8.5MB/s eta 0:00:01\r\u001b[K     |███████████████████████████▎    | 2.3MB 8.5MB/s eta 0:00:01\r\u001b[K     |███████████████████████████▍    | 2.3MB 8.5MB/s eta 0:00:01\r\u001b[K     |███████████████████████████▌    | 2.3MB 8.5MB/s eta 0:00:01\r\u001b[K     |███████████████████████████▋    | 2.3MB 8.5MB/s eta 0:00:01\r\u001b[K     |███████████████████████████▊    | 2.3MB 8.5MB/s eta 0:00:01\r\u001b[K     |███████████████████████████▉    | 2.3MB 8.5MB/s eta 0:00:01\r\u001b[K     |████████████████████████████    | 2.3MB 8.5MB/s eta 0:00:01\r\u001b[K     |████████████████████████████    | 2.4MB 8.5MB/s eta 0:00:01\r\u001b[K     |████████████████████████████▏   | 2.4MB 8.5MB/s eta 0:00:01\r\u001b[K     |████████████████████████████▎   | 2.4MB 8.5MB/s eta 0:00:01\r\u001b[K     |████████████████████████████▌   | 2.4MB 8.5MB/s eta 0:00:01\r\u001b[K     |████████████████████████████▋   | 2.4MB 8.5MB/s eta 0:00:01\r\u001b[K     |████████████████████████████▊   | 2.4MB 8.5MB/s eta 0:00:01\r\u001b[K     |████████████████████████████▉   | 2.4MB 8.5MB/s eta 0:00:01\r\u001b[K     |█████████████████████████████   | 2.4MB 8.5MB/s eta 0:00:01\r\u001b[K     |█████████████████████████████   | 2.4MB 8.5MB/s eta 0:00:01\r\u001b[K     |█████████████████████████████▏  | 2.4MB 8.5MB/s eta 0:00:01\r\u001b[K     |█████████████████████████████▎  | 2.5MB 8.5MB/s eta 0:00:01\r\u001b[K     |█████████████████████████████▍  | 2.5MB 8.5MB/s eta 0:00:01\r\u001b[K     |█████████████████████████████▌  | 2.5MB 8.5MB/s eta 0:00:01\r\u001b[K     |█████████████████████████████▊  | 2.5MB 8.5MB/s eta 0:00:01\r\u001b[K     |█████████████████████████████▉  | 2.5MB 8.5MB/s eta 0:00:01\r\u001b[K     |██████████████████████████████  | 2.5MB 8.5MB/s eta 0:00:01\r\u001b[K     |██████████████████████████████  | 2.5MB 8.5MB/s eta 0:00:01\r\u001b[K     |██████████████████████████████▏ | 2.5MB 8.5MB/s eta 0:00:01\r\u001b[K     |██████████████████████████████▎ | 2.5MB 8.5MB/s eta 0:00:01\r\u001b[K     |██████████████████████████████▍ | 2.5MB 8.5MB/s eta 0:00:01\r\u001b[K     |██████████████████████████████▌ | 2.6MB 8.5MB/s eta 0:00:01\r\u001b[K     |██████████████████████████████▋ | 2.6MB 8.5MB/s eta 0:00:01\r\u001b[K     |██████████████████████████████▊ | 2.6MB 8.5MB/s eta 0:00:01\r\u001b[K     |███████████████████████████████ | 2.6MB 8.5MB/s eta 0:00:01\r\u001b[K     |███████████████████████████████ | 2.6MB 8.5MB/s eta 0:00:01\r\u001b[K     |███████████████████████████████▏| 2.6MB 8.5MB/s eta 0:00:01\r\u001b[K     |███████████████████████████████▎| 2.6MB 8.5MB/s eta 0:00:01\r\u001b[K     |███████████████████████████████▍| 2.6MB 8.5MB/s eta 0:00:01\r\u001b[K     |███████████████████████████████▌| 2.6MB 8.5MB/s eta 0:00:01\r\u001b[K     |███████████████████████████████▋| 2.7MB 8.5MB/s eta 0:00:01\r\u001b[K     |███████████████████████████████▊| 2.7MB 8.5MB/s eta 0:00:01\r\u001b[K     |███████████████████████████████▉| 2.7MB 8.5MB/s eta 0:00:01\r\u001b[K     |████████████████████████████████| 2.7MB 8.5MB/s eta 0:00:01\r\u001b[K     |████████████████████████████████| 2.7MB 8.5MB/s \n",
            "\u001b[?25h  Building wheel for pyrsistent (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Installing build dependencies ... \u001b[?25l\u001b[?25hdone\n",
            "  Getting requirements to build wheel ... \u001b[?25l\u001b[?25hdone\n",
            "    Preparing wheel metadata ... \u001b[?25l\u001b[?25hdone\n",
            "\u001b[K     |████████████████████████████████| 522kB 2.8MB/s \n",
            "\u001b[K     |████████████████████████████████| 153kB 11.8MB/s \n",
            "\u001b[K     |████████████████████████████████| 29.5MB 109kB/s \n",
            "\u001b[K     |████████████████████████████████| 307kB 49.3MB/s \n",
            "\u001b[K     |████████████████████████████████| 51kB 7.2MB/s \n",
            "\u001b[K     |████████████████████████████████| 61kB 8.5MB/s \n",
            "\u001b[K     |████████████████████████████████| 491kB 46.6MB/s \n",
            "\u001b[K     |████████████████████████████████| 2.8MB 37.1MB/s \n",
            "\u001b[K     |████████████████████████████████| 92kB 8.9MB/s \n",
            "\u001b[K     |████████████████████████████████| 122kB 55.9MB/s \n",
            "\u001b[K     |████████████████████████████████| 102kB 12.3MB/s \n",
            "\u001b[K     |████████████████████████████████| 92kB 12.3MB/s \n",
            "\u001b[K     |████████████████████████████████| 92kB 11.6MB/s \n",
            "\u001b[?25h  Building wheel for ergo (PEP 517) ... \u001b[?25l\u001b[?25hdone\n",
            "  Building wheel for jax (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Building wheel for country-converter (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "\u001b[31mERROR: datascience 0.10.6 has requirement folium==0.2.1, but you'll have folium 0.8.3 which is incompatible.\u001b[0m\n",
            "\u001b[31mERROR: chainer 6.5.0 has requirement typing-extensions<=3.6.6, but you'll have typing-extensions 3.7.4.2 which is incompatible.\u001b[0m\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "zSA8SLArSP6f",
        "colab_type": "text"
      },
      "source": [
        "    ents to build wheel ... etadata ... ERROR: chainer 6.5.0 has requirement typing-extensions<=3.6.6, but you'll have typing-extensions 3.7.4.2 which is incompatible.\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Wn9Kgq42SP6j",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "import requests\n",
        "import torch\n",
        "import io\n",
        "import zipfile\n",
        "import os\n",
        "import ergo\n",
        "import requests\n",
        "import scipy.stats\n",
        "\n",
        "import pandas as pd\n",
        "import numpy as np\n",
        "\n",
        "from datetime import date, datetime, timedelta\n",
        "from types import SimpleNamespace\n",
        "from typing import List\n",
        "import plotnine\n",
        "from plotnine import *"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "HPb5Y8aMSP6s",
        "colab_type": "text"
      },
      "source": [
        "    /usr/local/lib/python3.6/dist-packages/statsmodels/tools/_testing.py:19: FutureWarning: pandas.util.testing is deprecated. Use the functions in the public API at pandas.testing instead.\n",
        "      import pandas.util.testing as tm\n",
        "\n",
        "Log into a Metaculus account\n",
        "\n",
        "If running in a collab notebook, please enter your Metaculus credentials\n",
        "here\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "GJi-BmOkSP6u",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def is_local():\n",
        "  try:\n",
        "    %env USER\n",
        "    return True\n",
        "  except:\n",
        "    return False\n",
        "\n",
        "metaculus_api = \"pandemic\"\n",
        "\n",
        "if is_local():\n",
        "  from dotenv import load_dotenv\n",
        "  load_dotenv() \n",
        "  metaculus = ergo.Metaculus(username=os.getenv(\"METACULUS_USERNAME\"), password=os.getenv(\"METACULUS_PASSWORD\"), api_domain=metaculus_api)\n",
        "else: \n",
        "  try:    \n",
        "    \n",
        "    metaculus = ergo.Metaculus(username=\"oughttest\", password=\"6vCo39Mz^rrb\", api_domain=metaculus_api)  \n",
        "  except: \n",
        "    print(f'WARNING, You will need to enter your metaculus credentials in this cell')"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "oC8VRirhSP64",
        "colab_type": "text"
      },
      "source": [
        "## Questions\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "CrNPO0nrSP65",
        "colab_type": "text"
      },
      "source": [
        "Here are the question we want to forecast:\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "1k5AeARVSP67",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "outputId": "d05a7c4f-45ef-4cdc-c86a-ebdcb4862f45"
      },
      "source": [
        "question_ids = [\n",
        "  3935,\n",
        "  3948,\n",
        "  3941,\n",
        "  3939,\n",
        "  3937\n",
        "]\n",
        "question_names = [\n",
        "    \"The United Kingdom\",\n",
        "    \"France\",\n",
        "    \"Poland\",\n",
        "    \"The State of California\",\n",
        "    \"Italy\"\n",
        "]\n",
        "\n",
        "\n",
        "areas = question_names\n",
        "questions = [metaculus.get_question(id, name=name) for (name, id) in zip(question_names, question_ids)]\n",
        "ergo.MetaculusQuestion.to_dataframe(questions)"
      ],
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "     id                     name  \\\n",
              "0  3935       The United Kingdom   \n",
              "1  3948                   France   \n",
              "2  3941                   Poland   \n",
              "3  3939  The State of California   \n",
              "4  3937                    Italy   \n",
              "\n",
              "                                               title        resolve_time  \n",
              "0  When will the current lockdown in the UK be li... 2021-09-26 22:00:00  \n",
              "1  When will the current lockdown in France be li... 2021-09-26 22:00:00  \n",
              "2  When will the current lockdown in Poland be li... 2021-09-26 22:00:00  \n",
              "3  When will the current lockdown in the state of... 2021-09-26 22:00:00  \n",
              "4  When will the current lockdown in Italy be lif... 2020-04-11 15:12:00  "
            ],
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>id</th>\n",
              "      <th>name</th>\n",
              "      <th>title</th>\n",
              "      <th>resolve_time</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>3935</td>\n",
              "      <td>The United Kingdom</td>\n",
              "      <td>When will the current lockdown in the UK be li...</td>\n",
              "      <td>2021-09-26 22:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>3948</td>\n",
              "      <td>France</td>\n",
              "      <td>When will the current lockdown in France be li...</td>\n",
              "      <td>2021-09-26 22:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>3941</td>\n",
              "      <td>Poland</td>\n",
              "      <td>When will the current lockdown in Poland be li...</td>\n",
              "      <td>2021-09-26 22:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>3939</td>\n",
              "      <td>The State of California</td>\n",
              "      <td>When will the current lockdown in the state of...</td>\n",
              "      <td>2021-09-26 22:00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>3937</td>\n",
              "      <td>Italy</td>\n",
              "      <td>When will the current lockdown in Italy be lif...</td>\n",
              "      <td>2020-04-11 15:12:00</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 3
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "BiJNrx0xSP7C",
        "colab_type": "text"
      },
      "source": [
        "## Assumptions and Question Information\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "hcOCPwkPSP7E",
        "colab_type": "text"
      },
      "source": [
        "-   intensity&#x2014;a 1-5 corresponding to the severity/degree of adherence of\n",
        "    the social distancing, with 5 being the most strictly\n",
        "    observed/enforced social distancing\n",
        "-   re-evaluation&#x2014;date at which government said they would re-assess\n",
        "    lockdown\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "c-0TW2VkSP7G",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "Area = dict\n",
        "assumptions = SimpleNamespace()\n",
        "\n",
        "assumptions.lockdowns = {\n",
        "  \"New York\" : {\n",
        "    \"data_key\" : \"New York\",\n",
        "    \"question_name\" : \"The State of New York\",\n",
        "    \"start\": date(2020, 3, 21),\n",
        "    \"intensity\": 3,\n",
        "    \"end\": None #pendulum.Date(2020, X, X)\n",
        "  },\n",
        "  \"California\" : {\n",
        "    \"data_key\" : \"California\",\n",
        "    \"question_name\" : \"The State of California\", \n",
        "    \"start\": date(2020, 3, 22),\n",
        "    \"end\": None #date(2020, X, X)\n",
        "  },\n",
        "  \"United Kingdom\": {\n",
        "    \"data_key\" : \"United Kingdom\",\n",
        "    \"question_name\" : \"The United Kingdom\", \n",
        "    \"start\": date(2020, 3, 23),\n",
        "    \"re_evaluated\": None, \n",
        "    \"intensity\": 3, \n",
        "    \"end\": None #date(2020, X, X)\n",
        "  },\n",
        "  \"France\": {\n",
        "    \"data_key\" : \"France\",\n",
        "    \"question_name\" : \"France\", \n",
        "    \"start\": date(2020, 3, 17),\n",
        "    \"re_evaluated\": date(2020, 4, 1),\n",
        "    \"intensity\": 3, \n",
        "    \"end\": None #date(2020, X, X)\n",
        "  },\n",
        "  \"Poland\": {\n",
        "    \"data_key\": \"Poland\",\n",
        "    \"question_name\" : \"Poland\",\n",
        "    \"start\": date(2020, 3, 25),\n",
        "    \"re_evaluated\": date(2020, 4, 11),\n",
        "    \"end\": None #date(2020, X, X)\n",
        "  },\n",
        "  \"Italy\": {\n",
        "    \"data_key\": \"Italy\",\n",
        "    \"question_name\" : \"Italy\",\n",
        "    \"start\": date(2020, 3, 23),\n",
        "    \"end\": None #date(2020, X, X)\n",
        "  }\n",
        "}"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "faXZ0dvUSP7P",
        "colab_type": "text"
      },
      "source": [
        "Helper Functions\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "FDFcEgCVSP7P",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "#hack implementation of date.fromisoformat (is in datetime @ pyton 3.7)\n",
        "def fromisoformat( xdate): \n",
        "    return datetime.strptime(xdate, '%Y-%m-%d').date()\n",
        "\n",
        "# This allows access to the right assumptions using a question name. \n",
        "def get_assumptions(key, assumptions = assumptions.lockdowns):\n",
        "  if isinstance(key, str):\n",
        "    if key in assumptions:\n",
        "      return assumptions[key]\n",
        "    print(f\"No assumptions for data key: {key}\")\n",
        "  elif issubclass(type(key), ergo.metaculus.MetaculusQuestion):\n",
        "    for k,v in assumptions.items():\n",
        "      if v['question_name'] == key.name:\n",
        "        return v\n",
        "    print(f\"No assumptions for question: {question.name}\")\n",
        "  else:\n",
        "      print(f\"Neither a question nor a data_key was passed\")   \n",
        "\n",
        "# ripped from https://techoverflow.net/2018/01/16/downloading-reading-a-zip-file-in-memory-using-python/\n",
        "def download_extract_zip(url):\n",
        "    \"\"\"\n",
        "    Download a ZIP file and extract its contents in memory\n",
        "    yields (filename, file-like object) pairs\n",
        "    \"\"\"\n",
        "    response = requests.get(url)\n",
        "    with zipfile.ZipFile(io.BytesIO(response.content)) as thezip:\n",
        "        for zipinfo in thezip.infolist():\n",
        "            with thezip.open(zipinfo) as thefile:\n",
        "                yield zipinfo.filename, thefile"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "0o0uqyZQSP7V",
        "colab_type": "text"
      },
      "source": [
        "## Data\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "uaOW7Ac2SP7W",
        "colab_type": "text"
      },
      "source": [
        "We now have predictions from\n",
        "[http://www.healthdata.org/covid/data-downloads](http://www.healthdata.org/covid/data-downloads)\n",
        "\n",
        "***TODO*** if something like this is going to persist, then consider\n",
        "migrating to ergo/data/covid19.py\n",
        "\n",
        "Get Data\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "RTKRR1W8SP7X",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "url=\"https://ihmecovid19storage.blob.core.windows.net/latest/ihme-covid19.zip\"\n",
        "\n",
        "for name, xfile in download_extract_zip(url):\n",
        "    if os.path.basename(name) ==\"Hospitalization_all_locs.csv\":\n",
        "        infections_df = pd.read_csv(xfile)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "6jc_M8u2SP7f",
        "colab_type": "text"
      },
      "source": [
        "Clean and Enhance Data\n",
        "\n",
        "**variable description**\n",
        "\n",
        "-   admis_mean = daily # of admissions to hospital\n",
        "-   allbed_mean = cumsum of admis_mean\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ap7G-oyiSP7g",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 423
        },
        "outputId": "bddac8e7-f435-41ec-e07d-9db7d5ef311b"
      },
      "source": [
        "#filter data        \n",
        "infections_df = infections_df.loc[infections_df['location_name'].isin([\"New York\", \"California\", \"United Kingdom\", \"France\", \"Poland\",  \"Italy\"]),\n",
        "                                  ['location_name', 'date', 'admis_mean', 'newICU_mean', 'deaths_mean', 'totdea_mean', 'allbed_mean', 'ICUbed_mean', 'bedover_mean', 'icuover_mean']]\n",
        "\n",
        "#infections_df['location_name'].unique() \n",
        "\n",
        "# calculate days from lockdown\n",
        "def calulate_days_from_lockdown_start(df: pd.core.frame.DataFrame):\n",
        "    lockdown_start = get_assumptions(df['location_name'])['start']\n",
        "    return (lockdown_start - fromisoformat(df['date'])).days\n",
        "\n",
        "infections_df['days_from_lockdown'] = infections_df.apply(lambda x: calulate_days_from_lockdown_start(x), axis=1)\n",
        "\n",
        "# calculate cumulative addmissions\n",
        "infections_df['admis_cum'] = infections_df['admis_mean'].cumsum() \n",
        "\n",
        "# calculate doubling rate\n",
        "infections_df['doubling_rate_in_days'] = infections_df['admis_cum'] / infections_df['admis_mean']\n",
        "\n",
        "# calculate the new cases as a percentage of previous total\n",
        "infections_df['progression'] =  infections_df['admis_cum'] / infections_df['admis_mean']\n",
        "infections_df['progression'] = infections_df['progression'].apply(lambda x: min(x, 365)) # we don't care about doubling rates longer than a year (at least)\n",
        "\n",
        "# remove all NAs\n",
        "infections_df.fillna(0)"
      ],
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "        location_name        date  admis_mean  newICU_mean  deaths_mean  \\\n",
              "2365   United Kingdom  2020-01-03         0.0          0.0          0.0   \n",
              "2366   United Kingdom  2020-01-04         0.0          0.0          0.0   \n",
              "2367   United Kingdom  2020-01-05         0.0          0.0          0.0   \n",
              "2368   United Kingdom  2020-01-06         0.0          0.0          0.0   \n",
              "2369   United Kingdom  2020-01-07         0.0          0.0          0.0   \n",
              "...               ...         ...         ...          ...          ...   \n",
              "26225      California  2020-07-31         0.0          0.0          0.0   \n",
              "26226      California  2020-08-01         0.0          0.0          0.0   \n",
              "26227      California  2020-08-02         0.0          0.0          0.0   \n",
              "26228      California  2020-08-03         0.0          0.0          0.0   \n",
              "26229      California  2020-08-04         0.0          0.0          0.0   \n",
              "\n",
              "       totdea_mean  allbed_mean  ICUbed_mean  bedover_mean  icuover_mean  \\\n",
              "2365         0.000          0.0          0.0           0.0           0.0   \n",
              "2366         0.000          0.0          0.0           0.0           0.0   \n",
              "2367         0.000          0.0          0.0           0.0           0.0   \n",
              "2368         0.000          0.0          0.0           0.0           0.0   \n",
              "2369         0.000          0.0          0.0           0.0           0.0   \n",
              "...            ...          ...          ...           ...           ...   \n",
              "26225     1658.271          0.0          0.0           0.0           0.0   \n",
              "26226     1658.271          0.0          0.0           0.0           0.0   \n",
              "26227     1658.271          0.0          0.0           0.0           0.0   \n",
              "26228     1658.271          0.0          0.0           0.0           0.0   \n",
              "26229     1658.271          0.0          0.0           0.0           0.0   \n",
              "\n",
              "       days_from_lockdown      admis_cum  doubling_rate_in_days  progression  \n",
              "2365                   80       0.000000                    0.0          0.0  \n",
              "2366                   79       0.000000                    0.0          0.0  \n",
              "2367                   78       0.000000                    0.0          0.0  \n",
              "2368                   77       0.000000                    0.0          0.0  \n",
              "2369                   76       0.000000                    0.0          0.0  \n",
              "...                   ...            ...                    ...          ...  \n",
              "26225                -131  457807.783895                    inf        365.0  \n",
              "26226                -132  457807.783895                    inf        365.0  \n",
              "26227                -133  457807.783895                    inf        365.0  \n",
              "26228                -134  457807.783895                    inf        365.0  \n",
              "26229                -135  457807.783895                    inf        365.0  \n",
              "\n",
              "[1290 rows x 14 columns]"
            ],
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>location_name</th>\n",
              "      <th>date</th>\n",
              "      <th>admis_mean</th>\n",
              "      <th>newICU_mean</th>\n",
              "      <th>deaths_mean</th>\n",
              "      <th>totdea_mean</th>\n",
              "      <th>allbed_mean</th>\n",
              "      <th>ICUbed_mean</th>\n",
              "      <th>bedover_mean</th>\n",
              "      <th>icuover_mean</th>\n",
              "      <th>days_from_lockdown</th>\n",
              "      <th>admis_cum</th>\n",
              "      <th>doubling_rate_in_days</th>\n",
              "      <th>progression</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>2365</th>\n",
              "      <td>United Kingdom</td>\n",
              "      <td>2020-01-03</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>80</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2366</th>\n",
              "      <td>United Kingdom</td>\n",
              "      <td>2020-01-04</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>79</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2367</th>\n",
              "      <td>United Kingdom</td>\n",
              "      <td>2020-01-05</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>78</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2368</th>\n",
              "      <td>United Kingdom</td>\n",
              "      <td>2020-01-06</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>77</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2369</th>\n",
              "      <td>United Kingdom</td>\n",
              "      <td>2020-01-07</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>76</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>26225</th>\n",
              "      <td>California</td>\n",
              "      <td>2020-07-31</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1658.271</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>-131</td>\n",
              "      <td>457807.783895</td>\n",
              "      <td>inf</td>\n",
              "      <td>365.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>26226</th>\n",
              "      <td>California</td>\n",
              "      <td>2020-08-01</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1658.271</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>-132</td>\n",
              "      <td>457807.783895</td>\n",
              "      <td>inf</td>\n",
              "      <td>365.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>26227</th>\n",
              "      <td>California</td>\n",
              "      <td>2020-08-02</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1658.271</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>-133</td>\n",
              "      <td>457807.783895</td>\n",
              "      <td>inf</td>\n",
              "      <td>365.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>26228</th>\n",
              "      <td>California</td>\n",
              "      <td>2020-08-03</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1658.271</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>-134</td>\n",
              "      <td>457807.783895</td>\n",
              "      <td>inf</td>\n",
              "      <td>365.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>26229</th>\n",
              "      <td>California</td>\n",
              "      <td>2020-08-04</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1658.271</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>-135</td>\n",
              "      <td>457807.783895</td>\n",
              "      <td>inf</td>\n",
              "      <td>365.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>1290 rows × 14 columns</p>\n",
              "</div>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "OxIgc20FSP7o",
        "colab_type": "text"
      },
      "source": [
        "## Explore Features\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "OX6PzG1iSP7p",
        "colab_type": "text"
      },
      "source": [
        "### Hospital Admissions\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "THp_vn9cSP7p",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 430
        },
        "outputId": "90c5b3f8-095b-4ab9-f8a2-e8b14c762aad"
      },
      "source": [
        "plotnine.options.figure_size = (8,4)\n",
        "(ggplot(infections_df, aes('days_from_lockdown', 'admis_mean', color='location_name'))\n",
        "     + geom_point()\n",
        "     + geom_vline(xintercept=0) \n",
        "     + labs(x='Days since lockdown',  y='New hospital admissions', title='Progression of hospital admissions')\n",
        "  )"
      ],
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x400 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<ggplot: (325863337)>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "EMbF-DyaSP7x",
        "colab_type": "text"
      },
      "source": [
        "Examine the evolution of the rate of the spread of the infection\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "LidR02BCSP7z",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 450
        },
        "outputId": "456e0cd5-7457-4b9c-bf52-c9539c07674b"
      },
      "source": [
        "plotnine.options.figure_size = (12,4)\n",
        "(ggplot(infections_df, aes('days_from_lockdown', 'admis_mean', color='location_name'))\n",
        " + geom_point()\n",
        " + facet_wrap('~location_name', nrow=1)\n",
        " + labs(x='Days since lockdown',  y='New hospital admissions', title='Progression of hospital admissions')\n",
        " + guides(color=False)\n",
        " )"
      ],
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x400 with 6 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<ggplot: (-9223372036565316885)>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "CIfjAUcqSP78",
        "colab_type": "text"
      },
      "source": [
        "### Bedover\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "kWbwp-CfSP79",
        "colab_type": "text"
      },
      "source": [
        "[covid all beds needed] - ([total bed capacity] - [average all bed\n",
        "usage])\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "_1dcmYWzSP7-",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 450
        },
        "outputId": "8df0bf38-f8a9-470a-ac1e-03655624cb5b"
      },
      "source": [
        "plotnine.options.figure_size = (10,4)\n",
        "(ggplot(infections_df, aes('days_from_lockdown', 'bedover_mean', color='location_name'))\n",
        " + geom_point()\n",
        " + facet_wrap('~location_name')\n",
        " + geom_vline(xintercept=0)\n",
        " + labs(x='Days since lockdown',  y='Mean Bedover', title='Projected Bed Utilization')\n",
        ")"
      ],
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x400 with 6 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<ggplot: (-9223372036528470384)>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "7sYagnjRSP8J",
        "colab_type": "text"
      },
      "source": [
        "### Mean Beds needed for Covid cases\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "qFGz0_FOSP8L",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 450
        },
        "outputId": "0031bd01-fa17-4d84-baac-811935600481"
      },
      "source": [
        "plotnine.options.figure_size = (10,4)\n",
        "(ggplot(infections_df, aes('days_from_lockdown', 'allbed_mean', color='location_name'))\n",
        "   + geom_point()\n",
        "   + facet_wrap('~location_name')\n",
        "   + geom_vline(xintercept=0)\n",
        "   + labs(x='Days since lockdown',  y='Mean Bedover', title='Projected Bed Utilization')\n",
        ")"
      ],
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x400 with 6 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<ggplot: (-9223372036528189580)>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "eUS_R1bZSP8S",
        "colab_type": "text"
      },
      "source": [
        "### Infection Rate\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "NSZGWjv3SP8W",
        "colab_type": "text"
      },
      "source": [
        "**TODO** Need to edit calculation where little or no data\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "EGff_7GUSP8X",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 450
        },
        "outputId": "9e78f3ee-0c7e-4d92-8894-340bbee3479e"
      },
      "source": [
        "plotnine.options.figure_size = (10,4)\n",
        "(ggplot(infections_df, aes('days_from_lockdown', 'progression', color='location_name'))\n",
        "   + geom_point()\n",
        "   + facet_wrap('~location_name')\n",
        "   + geom_vline(xintercept=0)\n",
        "   + labs(x='Days since lockdown',  y='Pseudo doubling rate in days', title='Disease Growth' )\n",
        ")"
      ],
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x400 with 6 Axes>"
            ],
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAA/YAAAGfCAYAAAD1fEnvAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD+naQAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjEsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+j8jraAAAgAElEQVR4nOzdeXwU9f3H8dfMXtlsEpKQBBCBCHKriAdFQS45PPHgkFIqiLcIpVXhR61H8aJUvFERq3igiEVbUSgKCh71VhRFBZFLioaQgySba3fm90fIkiUJkJDNJuH97IPGnevz+e7Mfne/M9/5jmHbto2IiIiIiIiINEpmtBMQERERERERkdpTw15ERERERESkEVPDXkRERERERKQRU8NeREREREREpBFTw15ERERERESkEVPDXkRERERERKQRU8NeREREREREpBFTw15ERERERESkEVPDXkRERERERKQRU8NeROQIsGXLFgzD4Pbbb492KlLHJkyYgGEY0U5DREREokgNexGRRmT16tUYhhH653A4aNasGZ07d2b06NG88MILlJSURDvNBisvL485c+bQv39/UlJScLlcJCYm0qtXL6ZNm8b69eujnWKVFixYwAMPPBDtNERERKSBMmzbtqOdhIiIHJrVq1czcOBARo4cyQUXXABAfn4+mzdvZvny5axbt46uXbuyZMkSunbtGlrPtm2Ki4txOp04nc5opR9VX375JRdeeCHbt29n2LBhDBw4kNTUVPLy8li7di2vvfYaWVlZbNy4kQ4dOkQ73TADBgxgy5YtbNmypdK8CRMm8Mwzz6CvcxERkSPXkfnrTkSkkevRowfjxo0Lm/a3v/2NBQsWcMUVVzBs2DC++eYbEhISADAMg5iYmGik2iBkZGRwzjnn4Pf7eeedd+jfv3+lZYqKinjooYcwzQN3ZrNtm4KCAuLi4iKVroiIiEiNqCu+iEgTMmHCBG644Qa2b9/O3LlzQ9Oru8d+4cKFnHbaaSQnJ+P1emnbti0XX3xxpS7pv/76K5MnTyY9PR23202LFi0YN25cpSvIeXl53HLLLfTu3ZvU1FTcbjfp6elcf/31ZGVlVcq3ruNXZ/bs2fzyyy/Mnj27ykY9QExMDNOmTeOYY44JTVuwYAGGYbBy5UruueceOnXqhMfj4d577wXAsiweeughevTogdfrJSEhgUGDBvHWW2+Fbfuqq67C6XSSk5MTmpaRkYFpmhiGwfbt20PTCwoKcLvdTJw4ESg7KbNmzRq2bt0adhvG6tWrw2Ls2bOHyZMn06pVKzweDyeddBIrVqw4pPdHREREGjddsRcRaWKuvvpqZs+ezeuvv86MGTOqXW7hwoWMGzeOPn36cNtttxEXF8eOHTt4++23+eGHH+jWrRsA27dv5/TTTyc/P5/LL7+cTp06sWPHDh577DHefPNNPvvsM9q2bQvAjh07eOKJJ7j44ou55JJLiImJ4ZNPPmHevHm8//77fPrpp7hcrojFr86SJUtwu92MHz++Vu/pTTfdhN/vZ/z48aSmptKmTRug7ETKc889R58+fbj77rvJz8/nySefZNiwYTz77LOhXhVnnnkm8+fP55133uGiiy4CYOXKldi2jWmarFy5kssuuwyANWvWUFpayuDBgwF47rnnuOuuu8jMzOT+++8P5VTxVguAYcOGkZiYyIwZM/D7/TzwwAMMHz6cjRs3HvT9ERERkUbOFhGRRuOdd96xAfuOO+444HLx8fF28+bNQ683b95sA/Ztt90WmnbRRRfZ8fHxdklJyQG3deGFF9pJSUn2pk2bwqZv3rzZjouLsydMmBCaVlxcXOX25s+fbwP24sWLIxq/Knl5eTZgn3DCCZXmlZaW2rt27Qr75/f7Q/OffvppG7A7dOhg5+Xlha27atUqG7DPPvtsOxAIhKZnZGTYaWlpdmJiYmidjIwM2zAM+7rrrgstd9lll9ndu3e3TzrpJHvs2LGh6X/84x9twN65c2doWv/+/e127dpVWb7x48fbgH3VVVeFTf/www9twJ4xY8YB3x8RERFp/NQVX0SkCUpISCA3N/eAyyQmJuL3+1m6dCmWZVW5TG5uLq+99hrnnHMOCQkJZGZmhv7FxcXRu3fvsO7ebrc7dEU+EAiQk5NDZmYmgwYNAuDjjz+OaPzqtlH+nuzvs88+IzU1NezfnDlzKi13/fXXV7qnfsmSJQDccsstOByO0PTU1FQmTZpETk4Oq1atCk074YQTQq8BVq1axeDBgxk8eDBvv/122PTu3bvTsmXLA5ZrfzfeeGPY6969exMXF8eGDRtqtB0RERFpfNSwFxFpgvbs2UOzZs0OuMzNN99M+/btGTFiBCkpKZx//vncf//9/Prrr6FlNmzYgGVZLFy4sFIDODU1lZUrV4YtDzB//nx69uyJ1+slKSmJ1NTU0CjzFe+zj1T8/ZW/D3v27Kk0r1u3brz11lu89dZbofvmq9KpU6dK03766ScAjj/++Erzyqdt2rQpNG3w4MH88MMP/Pzzz2zcuJFt27aFGva//PIL33zzDRkZGaxbt44zzzzzgGWqSvv27StNa968Obt3767xtkRERKRx0T32IiJNzE8//UReXh6nn376AZfr0KED3377LatXr2bVqlW899573Hjjjdxyyy0sW7aMfv36ha6kjx49miuvvPKgsR988EGmTp3K4MGDefTRRznqqKPweDwEAgHOPvvssCvzkYhflbi4ONq1a8f3339PYWEhXq83NC8hISF0L/uBHgMYGxtbq9gVDR48mDlz5rBy5UoKCwtxOp30798fp9OJx+Nh5cqVtGjRAtu2a9Wwr9hroCJbj8ETERFp8tSwFxFpYubNmwfA+eeff9BlXS4XQ4YMYciQIQB8/fXXnHLKKdx6662sXr2aY489FtM0KSwsDDWAD+SZZ54hPT2dFStWhD027rvvvquX+NUZOXIkc+bM4dlnn+Xqq6+u9XYqKu+F8O233/Kb3/wmbN4333wTtgzAGWecgdvtDjXse/XqRXx8PACnn356qGHvcDgYMGBA2PYMw6iTnEVERKRpUld8EZEmZMGCBcyZM4e2bdsyadKkAy67a9euStO6du2Kz+cLdd9u3rw555xzDm+88QbvvPNOldup2BW+/KpxxSvztm0zc+bMeolfnWnTptGyZUtuuukm3n333SqXqemV7YsvvhiAu+++O6y8mZmZzJ07l8TExLAr7z6fj969e7Nq1SpWr14ddqJi8ODBvPvuu7z11luceuqplcYDiIuLIzs7W1ffRUREpEq6Yi8i0gh99dVXPP/880DZc883b97M8uXL+frrr+natStLliwJXQ2uzrBhw4iPj6dfv360bdsWv9/PokWLyMnJ4S9/+Utouccff5y+ffsyZMgQxo4dy6mnnoppmmzdupVly5ZxyimnsGDBAgBGjRrF9OnTGTZsGCNHjsTv9/Pqq69SUlJSL/Grk5aWxrJly7jgggsYMGAAw4YNY+DAgaSmppKbm8v333/P4sWLMU3zkB8NN2jQIH7/+9/z3HPPMXDgQC666KLQ4+4yMjJ49tlnKw24d+aZZ4ZOLOzfsL/55pvJy8vj0ksvrRSrd+/evP7661x//fWcfvrpOBwOBg0aRFpa2iHlKiIiIk1cVMfkFxGRGil/3F35P8Mw7Pj4eLtjx472qFGj7IULF9pFRUWV1qvqcXfz58+3hw0bZrdq1cp2u912amqq3a9fP/ull16qtH5WVpb9f//3f3aXLl1sj8djx8fH2126dLGvvPJK+6OPPgotFwwG7b/97W92x44dbY/HYx911FH2tddea2dlZdmAPX78+IjGP5jc3Fz773//u923b187OTnZdjqddrNmzexTTjnFvummm+z169eHLV/+uLt33nmnyu0Fg0H7gQcesI8//njb4/HYcXFx9sCBA+0VK1ZUufwHH3xgA7bP5wt7zF8wGLQTExNtwH777bcrrVdQUGBPnDjRTktLs03TDMup/HF3VWnXrp3dv3//g78xIiIi0qgZtq1+fSIiIiIiIiKNle6xFxEREREREWnE1LAXERERERERacTUsBcRERERERFpxNSwFxEREREREWnE1LAXERERERERacTUsBcRERERERFpxNSwFxEREREREWnE1LAXERERERERacTUsBcRERERERFpxNSwFxEREREREWnE1LAXERERERERacSc0U4gGjZs2BDtFESknnXq1KnaeaoTRI48qhNEpNyB6gORxkJX7EVEREREREQaMTXsRURERERERBoxNexFREREREREGjE17KVRGzNmDJ988gkAzz//PLNmzQrNW79+PZdeeilnn302//nPf+o89n333cfTTz9d59sVERGR6Kr4+0JEpDE4IgfPk4Zn9erVLF68mM2bNxMTE0O7du0YPXo0p59++iFvY9y4cWGvn3rqKc455xzGjBlT1+kC8Kc//Ski2xWRA5s6dSrr16/H4XCEpt1888307ds3ilmJSEMzdepUBg0aRNu2bZk5cyavvPJKtFMSEYkYNewl6v75z3/y3HPPMXXqVH7zm9/g8XhYu3Ytq1atqlHDfn87d+6kffv2tVo3GAyGNRpEpGG5/vrrGT58eJXzbNvGsix9hkVEROSIoYa9RFVBQQH/+Mc/uOmmmxg4cGBo+sknn8zJJ5/Mzp07+fvf/86mTZsAOOWUU5g6dSrx8fGVtrVgwQK2bdvGrbfeypgxY8jIyOCWW27BNE1eeOEFbNvmgQce4KuvviI2NpZzzz2XsWPHYpoma9euZebMmYwdO5aXXnqJY445hkGDBvHaa69x0kknsXTpUtxuN1dddRVDhgwBYNasWSQnJ3PVVVdRUFDAXXfdxXfffUcgEKB79+788Y9/pEWLFvXzRooc4aZOnUr37t359ttv+f7775kzZw75+fn84x//YMeOHfh8Ps466ywmTpwIwC+//MJvf/tbZsyYwdNPP01+fj5nnXUWkyZNCm1zxYoVLFq0iF9//ZWkpCT+8Ic/0KtXL0pLS1mwYAFvv/02fr//gPWSiERXSUkJ06dPp7S0lLPPPhuAxx9/HLfbfUi/L7KyshgzZgwvvvgizZs3B2D37t389re/ZdGiRSQnJ9dvgUREqqF77CWqvv32W0pKSujXr1+V823b5re//S0vv/wyzz77LLt37+app5466HYXLVpEWload9xxB8uXLycpKYk77rgDn8/HSy+9xL333svy5ctZtmxZaJ3c3Fx27tzJwoULueOOO4CyZxknJyfzyiuvMHnyZO677z4KCgqqzHPYsGG8+OKLLF68mNjYWB544IFavisiUhsrVqzg+uuvZ9myZXTs2JGYmBimT5/O0qVLmTVrFq+//jpr1qwJW+fzzz/nqaeeYt68eSxfvpwvvvgCgPfff5958+Zxww038MYbb3D//feHTtTNnz+fjRs38uijj7J48WJcLhcPPvhgvZdXRA7O7Xbzt7/9jcTERJYvX87y5ctp167dIf++SE5O5tRTT2XlypWhaW+99RYnn3yyGvUi0qCoYS9RlZubS7NmzXA6q+48ctRRR3Hqqafidrtp1qwZI0eO5KuvvqpxnF27dvHVV19x3XXXERMTQ+vWrbnkkkt48803w5a78sorcbvdeDweAFJSUrj44otxOBz069cP0zT5+eefK20/Li6O/v37ExMTg9frZezYsbXKU0QOzaOPPsp5553Heeedx6hRowAYOnQoxx57LKZp4na76dGjBx06dMA0Tdq3b8+ZZ55Z6XN52WWX4fV6Oeqoo+jRowcbN24E4LXXXuOSSy7huOOOwzAM0tLSQo2BpUuXMmnSJJKSkvB4PEycOJE1a9YQDAbr/X0Qkdqpye+Ls846K+z3wltvvcWwYcPqK1URkUOirvgSVc2aNSM3N5dAIFBl4z4rK4tHHnmEdevW4ff7sSyL2NjYGsfZtWsXPp8vrItdy5YtyczMDMslJiYmbL39z8Z7PB4KCwsrbb+oqIi5c+fy6aefkpeXB0BhYSElJSW43e4a5ysiB3bdddeF3WM/derUSre+rF+/nvnz57N582YCgQAlJSWcccYZYctU/IxX/HxnZGTQunXrSnFzcnIoKioK67IPYBgGWVlZpKamHnbZRCTyavL74rTTTmPOnDn8+OOP2LbNrl27DmsMIBGRSFDDXqKqe/fuuN1u3nvvvbB77Ms9+eSTWJbFk08+SbNmzXj//fe57777ahwnNTWVgoIC8vPziYuLA8rusU1JSTnsMgAsXryYrVu3MnfuXJo3b86PP/7IlVdeWSfbFpFDYxhG2Ou77rqL4cOHM2vWLDweD3PnzmX37t2HtK20tDR27NhRaXqzZs3weDw8+eSTtGzZsk7yFpH6V5PfF06nkyFDhrBixQoABg4cqJP2ItLgqCu+RJXP5+Pyyy/noYceYs2aNRQWFhIMBlm7di333nsvfr8fr9dLXFwcmZmZLF68uFZxUlNTOf7443nssccoLi5mx44dLF68ODQQ3uHy+/14PB7i4uLIy8vjueeeq5Ptikjt+f1+4uLi8Hg8/PDDD6xateqQ1z3vvPNYvHgx69evD12h27ZtG6Zpcv7554edJMjOzub999+PVDFE5DAlJyeTn58f6lEH1Pj3xVlnncWqVatYtWqVuuGLSIOkK/YSdSNHjqR58+a89NJLzJo1i5iYGNLT0xk9ejQtW7bknnvu4bzzzqN169YMHTqURYsW1SrOLbfcwoMPPsjo0aPxer2cc845nHvuuXVWhjvvvJMLL7yQlJQURo0axbvvvlsn2xaR2pk6dSqPPfYYc+fOpUePHvTv35/c3NxDWrdfv37k5eUxe/ZsMjIySE5OZsqUKbRt25Yrr7ySF154gSlTppCdnU1SUhIDBw6kb9++ES6RiNRG27ZtGTx4MOPGjSMYDDJ37lzGjx9fo98XHTp0ICUlhaKiIrp161aP2YuIHBrDtm072knUtw0bNkQ7BRGpZ506dap2nuoEkSOP6gSpqVtvvZXOnTvzu9/9LtqpSB07UH0g0lioK76IiIiIyAFs3bqVzz77jLPPPjvaqYiIVEld8UVEREREqjF79mzWrFnDFVdcoWfXi0iDpa74InJEULdbEalIdYKIlFNXfGkK1BVfREREREREpBFTw15ERERERESkETsi77Fv3rw5Xq+XwsJCIn0ngtvtpqSkJKIxDMNQeWqpPsqTl5fHk08+yRVXXEF8fHxEY2n/1E5qaipJSUlkZ2cTDAYjGsvn81FQUBDRGA6HQ+WppfooT0FBAU8//TSXXXYZPp8vorG0f2pHdULtqTw1V191gvaNSNN2RF6xN02T2NhYTDPyxfd4PBGPofLUXn2UJz8/n7vvvpv8/PyIx9L+afjq432rTypPze3Zs4e//vWv7NmzJ+KxtH8avqZWJpWn5uqrTtC+EWna9IkQERERERERacSOyK74h6P0268pen8NwV9/gWAAbMBg31/L3vcayDEMsMOnYey30fJ1y2fYNhhG+MyKMcq3Y9uhiVmGiY21b165itvFrhxr34QD2xsrxzD3/vd+MaoqQ1XxDyUWNlmGgW1V0c07bFMV36/9Z+6XWMX3rcKsnIq5VsXY7z/C9s1BYu39m733Sn327DvwxsVV3n4dHhe5hoFtWRz0vT7M4yLbNLAs++Dv3WEdFwa5Bvu6+xsGRmISnlN/g+f0fhj1fKbesvLIL/oPxYHvsOyCCrch7H/clU0rK37lsmXkGli2TfhRtO+zfGCHHmtndtlnaP+t2pUqiUONVfXnKyPXxNr7XlQ+hOsmloHBzmwTy7IqrVHTOKYRi8fVmbiYs3CYiYe4Xt0qLP4agF9zZmF4Y8Lm1fVx8WuuUeUtM+VHTXisQ1F5XxnAzqyyOHZonlFpjcOJZRpe3M4OeGJGAJG9feFwZVlZ/KdoFRtKf6TQLqxQ3n3lMfb+t42Nkbvve7WKb5QKrwibG75GVYwK/w9GVvixcOBY+/7aWFXksH9eFfZ3zr519pW4Ypmri1W23MGP+LItGVkmlr3v+67mvzSqi2WQYMRxnKs7w7xnEk9kb6GrS78Gd7GiaCWbApspsosqfdbK9s3e/977167i/SufX9t9ZWbt+14It3+sQz8uqlJWnvC6KNaIpbPrWM6KGUKi2azK9USaKjXsa6D4/TUU/uvlaKdRpab2zMImVR6/v+xvYSE4ItsYra/3zTr4InVi//LYBfkU7dhOcOsWYseOxzAO5efb4bOsfDLz7sGyD72bZHX7ovx8VV3uq6q2VaENHNHjouL5t0jFsQHbqjytNiy7gMKSXRSWfEFqwp/rvXGfV/gfcv0vAWDbe4Dwe1Dr/LioZoN1HedA5/jqIpZl+ykq3c3WX74kJX4aTkerOthq3csM7mZW3n0UUXzoK9VXxd2kvliJaHn8tp9fSjL4uvQb7oy7JXKB6tD/gjuZnfcgAQLRTiWqx1qB7WdXSSZflHzFnxNuVONejijqin+I7GCQwtdeiXYaIgKUfvkZwZ+31Vu8guLVWHZevcWT+lBIQdHKeo1oWX4Kit+o15hNTyl5hf+OdhLVWl70Vs0a9dKg7bIzebfgg2incUj+XbisYTTqGwg/hbxZ9Ha00xCpV2rYHyLbXwBWZEf3FJFDZBjYe3LrLVzQyqHpXe460tkErax6jVh2ckjH0eEKWtnRTqFaWQ04N6md7GD9fdccDh17lWXrPZEjjBr2h8jwxYHXG+00RATAtjHTWtRbOJejFaoumxoDp6N1vUZ0mEmAq15jNkVOx9HRTqFaRzuOqnAHsTQFrV0N87aPiizbivjjZxsbA4PWjqOinYZIvdIv1UNkmCa+cZeBHq0hEnUx516AI7X+Gvaxnn64HOn1Fk8iz2G2Ji5mSL3GNAw3ibGXcmhDe0lVHGZzErwXRjuNap3jHUqamRLtNKSOHOfoymmxvaKdRrVK7VKK7WJWFa8mw94V7XQalKPMVgyJGRjtNETqlQbPqwFX527E33QzJZ9/SvDn7diBUspGFDfA2DcqtI0R6m3pcDoIBIKExu20944IGlpk/1Fl946WXb6AUb79/bMpW862DQwTXE4XpaWlodG2w87chgYYqzxye9ig75VGfN83q3zsUofDJBgIlkcPi2UYRoVOpuGxQlstj1ExVoVylpfd6XISCJRi2xW2H4q13/tXnnv5S7vi+7cvDSiPu2+kbdPhIBgMhhaybTuUXnlh9sViv9ztA8Tau9+wcex9Lq0jvQOOZgmhIpflcBjHRRWNA4fDgRUMYJcfM/a+MWXr6rgwDHA63QQCpWBboWNhXyzCYh3OceFwOggGgmXLmSZmixa4TzwZZ3r7SmWPJMNwkRz3B4pKvqQ48A1BK7eKUfH3lS3s/Qux9zvmKi6z73ghVH/Yew/ZCu+jXXGlCrH2vZGUH0dOp4tAILB3/Qr7t3yxUKx9n52wz5ddccMVRvHfr45wOJ0EA4EKOVX1wakQq0LI0GL7lSs0YvvewhkGOF0uAqX7lQe7wmoV8grtGnvvtveVyzQS8Li64XWfhGHU/9XzGHdPmsdPBpbidnbC5YjFoOJnZK9KxwVU/IAd6nHhcDgJBkvD5u1TR8eFYeB2uSgtDVQxenXdHBcOMxa3swtpzQdQUNBw7yP2Gl6mx/+Rz0rW8kPpBvZYe8fm2Ps+VqzHy2uKst8JZZ+hfR+v8C+Vsv+qMIa4UV7hGvuWrFiP7vd+m4aBw+naW2+Xr1rhs1bhb/n/V/yONULHRoU/oao/vFxOp3NveSp8So2KpaimT0Po661CPvuKGfb9ZRomLpez7JgLPWWk8hdYtdGMvXMqfEfue8sMEo1ETnB15wR3d0yj4V3QKbaLec7/EmtLy56w4cKFVcWwtkebrfESEzouHA6z7PunwufQqPA+1e64gLAfAKaB0+GgNBCo8N1e1a8aDvu4cDjLfivuW9QgwYynm6sLJ7lPxGWomSNHFh3xNeRIbYH3rPMOefn4+Hjy8iI76JbD4SApKYns7OzwBkMEqDw1l7BzJ9z7EAnjLye+VWS79Gn/RI5hOPB6TsHrOeWwtqN9VHP1WZ764HK2BCA5fgLN41Un1IRpeoGGUSdUx224Od3Ti9M9h3alt6nto6ZWnoZokX8J60q/Db0upbTK5UbGDudYZ4fQ66a2bxrSbwSRhkANexERERGRRsC2bdaWfk2Q6hvNJiYJRjxtGvB4FCJS947Ihr3LVdb90ufzRXywEafTSXx8fERjlD/LW+WpufooT05ODgBerzfisbR/aic2NhZoOmVqavuoqZVHdULtqU6onaa2jyJdHsu2yLcKiDN9Da5OsG0b9lS8pWUfExMLi1bOlkxJuYYUV/h4D01h31RUX/WBSGNxRDbsS0vLuiwVFBQ0iW5CDocDt9ut8tRCfZSnsLAw9DfSsbR/qufxeKqd5/f78Xg8ja5M1Wms+6g6Ta08qhNqT3VC7TTWfVSdSJbny5Kved6/iGJKcOHi8uRLOc7qWqcx9lfTOuFk54l8WvpF6Kq9AwfpjrZM8V1D0AjiNtxQBHlF4dtq7Ptmf/VVH4g0Fg1vRBAREZEICAR3sTtvDr/m/ImM3FspKvky2imJSAOyLfAzT/mfo5gSoOze9XlZT7EpsDnKmYUbHXsxJ7tOxNg74NyxzvZc6ZuAw3SUNepF5Ih0RF6xFxGRI4tl+cnKvw/LLgAsbDuLHP8/SDIm4XFF9mqciDQO60q/xYGDAPuevGBisq70Wzo4j4liZuHchotLfb/ld/ZoAByGI8oZiUhDoCv2IiLS5BUH1mPZftjvkVD+kg+ik5CINDimUfGhbPtU8yC2qHMYDjXqRSREDXsREWnybLvsOeGVp1f9mCgROfL0cB2PtV/D3sLiRNcJUcpIROTQqWEvIiJNntt5LJWvxJnEuI6LRjoi0gAd5WjFtb7LSTDKRlqPM3z8IeVa2jnbRDkzEZGD0z32IiLS5DkdKST6riS34CnsvQNjxbr743X3jXJmItKQdHV15u5mtxG0gzgMB/HeyI8kfziK7WI2BH6k1C4l3dmOZDMp2imJSJSoYS8iIkeEGNdxeJrNImjtxjTiME09/1hEqtYY7l3PtnJ4IP9Rsq2c0OaL7mcAACAASURBVAj5V/om0F0DgoockdQVX0REjhiG4cbpaKVGvYg0ei/4XybHysHCIkiQAEH+UfAsRXZRtFMTkShQw15EREREpJHZGtxOcL8nfZRQyq7g7ihlJCLRpIa9iIiIiEgj4zNiq5weZ/rqORMRaQgaxD32jzzyCJ999hmFhYXEx8czdOhQRo8eDcDWrVt5+OGH2bJlCy1atOCqq66iR48eoXU/+OADnnnmGbKysujSpQtTpkwhLS0tWkUREREREYm44THn8A//s2HTWhpp+Aw17EWORA3iiv3w4cOZN28eL730Evfccw9r1qzh/fffJxAIcMcdd9CrVy9efPFFxowZwz333ENOTg4A27dv58EHH+Taa69l4cKFpKenM3v27CiXRkREREQksnq6T2CIZ1DYtAw7k/kFC7Dt/R/vKSJNXYNo2Ldt2xaPxxN6bRgG//vf/1i3bh3FxcWMHDkSl8vFGWecQdu2bfnggw8AWL16NSeddBI9e/bE4/EwduxYNm/ezLZt26JVFBERERGRevFN6bdhry0svgv8wC/Wr1HKSESipUF0xQd45plneP311ykuLiYtLY2BAwfy3//+l/T0dExz3/mH9u3bs3XrVqCsm37Hjh1D82JjY2nZsiVbt26lbdu29V4GERFp+GzbwrLzMY0YDMMd7XREpIEJ2AHeL/mIjGAGLe2W9OIkYoyYaKdVpcJqRsCvbrqINF0NpmE/fvx4Lr30Un788Uc++ugjfD4fhYWF+Hzh9wn5fD4yMjIAKCoqqnJ+YWFh2LTMzEwyMzNDr10uF0lJSTgckX9GqWEYEY9Tvn2Vp+bqozzlJ6ZM04x4LO2f2mlqZVJ5qldc+hNZeY9j2XmAQVzMMBJih2MYBqA6oTaa2vEGTa9MKs+hC9pBHt4zjy2BbdhYmCUmq833+L9mf8JrRqZxfzh1QkdXB74o+YogwdA0N25au47CYYZvq7Hvm/3VV30g0lg0mIY9lH1AO3bsyOeff86LL75ISkoKBQUFYcsUFBTg9XoBiImJwe/3h833+/2h+eWWLFnC/PnzQ68vu+wyJk2aREJCQoRKEs7trp8rQipP7US6PHl5eQDEx8eTlJQU0Vig/VMb5WVpSmUClWd/gUAOO7c+ghW6kmWTX/Qm8fFHkdxsaGg51Qm105SON9UJh6cxl+fdPR+wJbAt1FC2CJJlZfOR8SkXJw2v83hweHXC1QmXc9f/ZrO5eCsmBk7DxY2tptA69qgql2/M+6Yq9VUekcagQTXsy1mWxc6dOznppJNYsmQJlmWFzmZu3ryZfv36AdCuXTt++umn0HqFhYX88ssvtGvXLmx7I0aMoH///qHXLpcLgD179hAMBokkn89X6eREXXM4HCQkJKg8tVAf5Sn/ws7LyyM7OzuisbR/qnegH0t79uxplGWqTmPdR9Wpq/IUFn+BZZcAFQeVstid/T6mdSqgOqE2GuvxpjohMhp7ebb6t2FghE0LEGBHwf/INiLzeT3cOuEG32S2eLZRbBdztLM1CcXxZBdX3k5j3zf7q6/6QKSxiHrDPj8/n08//ZTf/OY3xMTE8P3337N8+XIuueQSjj/+eNxuN6+88goXXHABH3/8MVu3bqVPnz4ADBgwgBtuuIG1a9fSrVs3XnjhBdLT0yvdX5+SkkJKSkrodXmlGQwGI17p2LYd8RjlVJ6aq4/yWJYV+tsUylOuqewfIBSjKZUJVJ79lX0Uqxop2ghtV3VC7TWl4011Qu019vKkGM2xsMKmOXCQYiRHrFx1USekm3t/+9pUu43Gvm/2V5/lEWkMot6wB1i5ciVPPPEElmWRnJzMhRdeyLnnnothGPzlL3/hkUceYdGiRaSlpTFjxgwSExMBaNOmDVOmTGHu3LlkZ2fTuXNnpk2bFuXSiIhIQ+R2dsQ0fFh2AYR+uBt43adFMy0RaUBOdp3IJ87P2RDYiIGBDbQyW9Df0zfaqYmIHFDUG/ZxcXHcdddd1c5PT0/n3nvvrXZ+37596dtXla2IiByYacaSHPcHcgqeImDtxCCGeO/5eN2nRDs1EWkgTMPkWt/lfFL6ORnBXbSKbcmJ1vG4DFe0UxMROaCoN+xFRETqi9PRkpSEP2PbFoZhHnwFETnimIZJb3fZuBvxcfGhe+BFRBoyNexFROSIE41GvW1b+IvfZvee/wJQVLIBaFXveYiIiEjTo4a9iIhIPdhT+CKFJZ9QGtwDQE7BMxSVJBDj7hnlzERERKSxUz9EERGRCAta2RSWfAhUHMHZJq/otWilJCIiIk2IGvYiIiIRZllVP2vZsvPrORMRERFpitQVX0REjji2bWHZeZiGF8NwRzyew5EKuIGSilNxOdpFPLaI1FyJXcqq4tVkFO8i3opjsGcACWZCtNMSEamWGvYiInJEKQ1sJbtgHpZddq97rHsA8d6LIzqgnml4SPJdTnbBfMBRNs2Mp1ns7yIWU0RqJ2AHeCB/LjuCOwkSxIGDT0q+4M/xf1LjXkQaLHXFFxGRI4ZlFZBVMBfL3vf4Kn/JuxQUvx3x2B5Xd1ITbqVZ7EgAUhKm4DCTIh5XRGrmy9KvQ416gCBBCu1CVhWviXJmIiLVq3HDPi8vj8zMzLBpCxcu5C9/+QvvvPNOnSUmIiJS10qDW7DtIsCuMNWiqPSLeonvMJPxenoAYBox9RJTRGom19qDiRE2LUiQHCs3ShmJiBxcjRv248aN45Zbbgm9njlzJr///e95/PHHGTJkCIsXL67TBEVEROqOSXijvoyhDmwislcrRwsCYU+wAAcOjnK0ilJGIiIHV+NfMp9++ilDhw4FwLZt5s6dy5///GcyMzOZMmUKf//73+s8SRERkbrgcrbHNJoR/vVn4HX3iVZKItLAdHN24TR3LwwMXLgwMWnjaM0gT79opyYiUq0aD56XlZVFSkoKAJ9//jmZmZlMnDgRgOHDh/Pkk0/WbYYiIiJ1xDQ8JMf9gRz/UwSCP2PgIS7mHLzu3tFOTUQaCMMw+K13JCe6TiDblU1MSQwnuo7HYTiinZqISLVq3LBv0aIF69ev54wzzuCNN94gPT2d9u3bA1BQUIDTqYH2RUSk4XI6UkmJn45tWxEdCV9EGi/DMOjm6kx8fDx5eXkHXyEKPir5lDVF71NKgB6u4zgnZqhOPogcwWrcCh89ejTTpk1j5cqVLFu2jOnTp4fmffnll3Ts2LFOE4wEl8sFgM/nw7Yr32tZl5xOJ/Hx8RGNYRhlA7yoPDVXH+XJyckBwOv1RjyW9k/txMbGAk2nTE1tHzW18qhOqD3VCbXT1PZRUytPbeqEt/PXsNC/GHvvmCG7ijPZ48jjmuaXV7uO9o1I01bjhv0999xDfHw8n376KTfeeCMzZswIzfv8888ZPXp0nSYYCaWlpUBZD4NgMHiQpQ9PfZzpdTgcuN1ulacW6qM8hYWFob+RjqX9Uz2Px1PtPL/fj8fjaXRlqk5j3UfVaWrlUZ1Qe6oTaqex7qPqNLXy1KZOeDV3aahRD2Wj9n/o/4TznWeTYFbd2NW+qd6B6gORxqLGDXun08mtt95a5bxXX331sBMSERGJNNu2KS5dS0nwJwxiiPWchsNMjnZaItKABO0gb+W9w0/+zSQY8fT39CG+mkZzfSuyi6ucXmgXkUDDyFFE6leNG/a9e/fmiiuuYMyYMcTFxUUiJxERkYjKK/wX/pK3AQMw8Be/Q/P4G0E/iEUEsGyLxwv+wYbAJiwsTEw+KPmYGfF/JMFMiHZ6tHemszGwiWCFx/L5DB/NzaQoZiUi0VTjUYPatWvH5MmTadmyJRMmTOC9996LRF4iIiIREQj+ir9kFWXPs7eAIDYl7Cn8Z5QzE5GG4tvA9/wQ+JEgQWxsggTx235WFL0d7dQA+H3sGFL29jIyMPASwzW+iTgNDWItcqSq8af/pZdeIjs7m+eff54FCxbQv39/jj32WCZOnMj48eNp1apVJPIUERGpE0FrN2VX6isO7GQRtDKjlJGINDRZVjYOTCys0LQgQTKt3VHMap9mZgL/F38DW4PbCNgB2jiOxmfGRjstEYmiWj3nJykpicmTJ/P555/z5ZdfcvbZZzNnzhzatWvH+eefz7/+9S8syzr4hkREROqZw0whvFEPYOIwW0QsZkngR/KLVlBQvIagVRCxOCJSN1qYqQQIH/zNgYNWjsjVEzXlMpwc62xPF1cnNepFpHYN+4ratGlD+/btadGiBYFAgI0bNzJixAg6duzIRx99VBc5ioiI1BmnIw2f52zKrto7ASeGEUOCd2RE4uUXrSQr/0Hyi5aTV/gKmXsejEgcEak7nZ0d6eU6BRMTJ04cOGhuJjMs5sxopyYiUqVa34izYsUKnnrqKV577TXi4+MZN24cL7/8Ml27dmXTpk1MmjSJiRMnsn79+rrMV0RE5LDFe8/F7UynJLAJw/DidffCYTar8ziB4G7yi/5V/goA2y6s8zgiUrcMw2Bc7Gh6OU9mU8FPJBjxnOo+CY+hx6KJSMNU44b9LbfcwrPPPsvPP//MgAEDePrpp7n44otxu92hZTp06MCtt97KGWecUafJioiI1BWPqzseV/eIxghaGVR1P7+INHyGYXBKbE86B4+NdioiIgdV44b9k08+yYQJE7jiiivo0KFDtct16dKFp5566rCSExERiaSikrWUBDZgGDF43b2p68fdOcwkKt/PX8a2q54uIg1LwA6QY+XiM314jZhopyMiUqUaN+y3b9+O03nw1ZKTkxk/fnytkhIREYm0vMKlFBS/Sfmz7AuK38EbewuQXGcxnI6WeN19KSx5v9K8guIPgFF1FktE6t76ou95aM/jFO69hWawZyAXxJyDYRhRzkxEJFyNG/aH0qividLSUh5//HG++uor8vLySElJYfTo0fTv3x+ArVu38vDDD7NlyxZatGjBVVddRY8ePULrf/DBBzzzzDNkZWXRpUsXpkyZQlpaWp3mKCIiTUvQyqKgeMXeV+VXzi12ZT9HYuwf6jSW192nyoa9v/gj1LAXabiyrRzuy3yEUrs0NO3t4jWkmMn09ZwWxcxERCqr1aj4zz33HH379iUtLY2EhIRK/2oiGAySnJzMnXfeyaJFi5g0aRKPPfYY33//PYFAgDvuuINevXrx4osvMmbMGO655x5ycnKAst4DDz74INdeey0LFy4kPT2d2bNn16ZIIiJyBAlaWVVMtSkN7KrzWEa199QHq5kuIg3Bj4GfKt0yY2GxtnRdlDISEalejRv2zz//PFdeeSXHHXccmZmZjB49mhEjRuB2u0lLS+PGG2+s0fZiYmL43e9+R8uWLTEMg27dutG1a1e+++471q1bR3FxMSNHjsTlcnHGGWfQtm1bPvjgAwBWr17NSSedRM+ePfF4PIwdO5bNmzezbdu2mhZLRESOIGXPst+/K62J29WqzmM5Ha0wjYRK8Tyu4+o8lojUHQcO7CrGyHDiiEI2IiIHVuOG/Zw5c7jllluYO3cuANdddx1PP/00mzdvJjU1lbi4uMNKqKioiB9//JF27dqxbds20tPTMc19abZv356tW7cCZd30jznmmNC82NhYWrZsGZovIiJSFYeZSFzMBYQ9yx4PaUmX1nksw3CTFHc9ppEYNj3BO7TOY4lI3ens7IjPjMWs8HPZwOB0T+8oZiUiUrUa3zC/ceNG+vTpg8PhwOFwsGfPHgDi4+OZPn06U6dO5U9/+lOtkrEsiwceeICOHTvSs2dPNmzYgM/nC1vG5/ORkZEBlJ0EqGp+YWH4M4IzMzPJzMwMvXa5XCQlJeFwRP6Mq2EYEY9Tvn2Vp+bqozzlJ6ZM04x4LO2f2mlqZVJ5Dk0z3zBi3O0oLt2IYXiIdffC425NoLSgTuMAOBxtaJl0J0ErB7swC3gdh8OjOqGGVCfUjspTOwmOeG5ucRNzM55gR3AnsUYsF/vOp6fnhDqNU1+/E5rSvoH6qw9EGosaN+ybNWtGcXExAK1bt2b9+vUMGDAAKLtffvfu3bVKxLZtHn30UbKysvjrX/+KYRh4vV4KCsJ/YBUUFOD1eoGybvx+vz9svt/vD80vt2TJEubPnx96fdlllzFp0qQajwdQW263u17iqDy1E+ny5OXlAWUnv5KSkiIaC7R/aqO8LE2pTKDyHIpAsDs//7qGfP835Bf+h6BxFmnJozAMk+KS/5Gb/yG2HSA+9kRivZ3rIGJzCv0uQHVCbalOqD2Vp+aSSGL2MXfitwrZWfIL8Y44Ep2JdToqfn3+TmhK+wbqrzwijUGNG/annHIKX3/9NcOGDWP48OH89a9/xbIsXC4Xs2bNonfvmndPsm2bxx9/nM2bN3PHHXeEGuZt27ZlyZIlWJYVOpu5efNm+vXrB0C7du346aefQtspLCzkl19+oV27dmHbHzFiRGiUfSi7Yg+wZ88egsHIDl7k8/kqnZyoaw6Hg4SEBJWnFuqjPOVf2Hl5eWRnZ0c0lvZP9Q70Y2nPnj2NskzVaaz7qDqRKo9tW+zK/RulwR1AENsOsCv7NYqKAnhcncjc82Bo2V3Z/yLR93t8MYc/ErbqhNpTnVA7jXUfVae+y/Nx9qfMz1tACWWj45/i7smEuN/hMOrmanF91QlNcd/UR30g0ljUuGE/Y8aM0D3sM2fOZOvWrUydOhXLsjj11FOZN29ejZOYN28eP/zwA3feeSexsbGh6ccffzxut5tXXnmFCy64gI8//pitW7fSp08fAAYMGMANN9zA2rVr6datGy+88ALp6em0bds2bPspKSmkpKSEXpdXmsFgMOKVjm3bEY9RTuWpufooj2VZob9NoTzlmsr+AUIxmlKZQOU5mEDwF0qD+w+2GqSg6N29j6ILhM3JKViIx3kihnF4V4hUJ9Se6oTDo/LU3O7SLOblPU2gQn3wZclXtChIY2jMIN4oWsEXpV9hYtLH3ZtBnn41vppfX3VCU9s39Vkekcagxg373r17h67KJyYm8u9//5vi4mKKi4tr1e0mIyODZcuW4XK5mDhxYmj6yJEjGT16NH/5y1945JFHWLRoEWlpacyYMYPExLIBiNq0acOUKVOYO3cu2dnZdO7cmWnTptU4BxEROfLY1T5uzqrmcXhBgtYenI6UKuaJSFO0qWRzpZHxg1h8G/iOrMJsPin5nODeuuTfRW9QYhdztgbGFJEoqHHDvioejwePx1OrddPS0njttdeqnZ+ens69995b7fy+ffvSt2/fWsUWEZEjl9NsgWkkY9k5EHrWvAOPqwclge8IWvuPGePAYR78BLZlF5Nf9B8CwW2YRhJxMcNwOlLrOn0RqQduw40Vqh/2ceHiw5JPwqZZWKwsXh2xhv32wA6+DXyHiUkP13G0cKRFJI6INE6H1LCveCX9UDz11FO1SkZERKS+GIaT5LhJZBc8RtAqe3JKrKcbPveFFODGX/J2+ZKATYJ31EG74dt2KVn59xMI7gSCgElx6Zc0j5+hK/0ijVBXTydSzebstrJDV+YNDE5392Jj4aZKy5cSwLItTKPGT5Q+oLUl63jK/yxgYGGxtGgZZ7oHcIH33DodyE9EGq9Dath/+eWXYa937NhBZmYmycnJpKWlkZGRQVZWFikpKRx99NERSVRERKSuOR0tSIy9huz8R7DIwV+8juKSWQTtzLDlPM4exHoO3jusuHQdgeD/2NcDwMKmhBz/syT7rsE0Yw+0uog0MG7TzdS463jB/09+Cm7BhZPe7lM50XUCrxevIMvKDnXVNzFJd7St80Z90A7yrP9FLGzYG8sGVpasxmf6GBIzsE7jiUjjdEg1z5dffhn6d8899+Dz+Vi1ahWZmZmsX7+ezMxMVq5cic/n46677op0ziIiInXCtoPk+B/DYk9o2v6NerApDnxFUcnXB91e0M4D9h8p2yYQ/InMvLsJWnuqWk1EGrAEM4Ge7hMosgspsAt4q/ht7s1/mAmxY4k34kLLpZjNucw3rs7j59sFlFBS5bzXi/6DbdtVzhORI0uNTylOmzaNmTNnMnBg+NnBQYMGcfvtt3PTTTfVWXIiIiKRFLSy9t5LX/ke2v3l+J+goOidAy7jchzN/qPpl7PsPPIK/12LLEUkmrKsLBb6F2NhEyCIhc0v1q/8t+QTbk+YwZ/irufGuCn8Of4GkszEOo8fZ/hwVDphWCZIkNJq6hxp2CZMmMBxxx1X73FzcnK4/fbbWb9+fdj0LVu2YBgG//znP+s9J6kbNW7Yb9y4keTk5CrnJScns2lT5fuNREREGiLDqNkYsnlFr2BZ/mrnu50d8HmGVDM3SMD6pUbxRCT6dgQrf26DBNkc2IrbcNPemU66sy3OGtYnh8phOBjjHVHlvAQjHrfhikhcaZpycnL461//Wqlh36pVKz788EMGDRoUpczkcNW4Yd+tWzdmzZpFfn5+2PS8vDxmzZpFt27d6iw5ERGRSDKNRNzOzoR3nzeB6p70YhO0cw64zXjvcOI8F1QVDaepAfREGps4w1dpZHwDI6wbfqSd5unFmJgRmPv9dN9j57G6+L16y0OaLo/HQ+/evau9gCsNX40b9g8//DBfffUVRx99NBdddBFXX301F110EW3atOHrr7/moYceikSeIiIidc4wDBJ9VxLj6omBF4eZgM9zNqkJd2IazatYw8RhJh1wm5ZdhL/k3SrmuIiLGV4neYtI/WnnaEMXZ6dQd3hj7//O9Q6r1zz6xpyGi8pX518tfJ2gHazXXKTurVu3jmHDhuHz+WjWrBkjR45k27ZtYctYlsV9991H165d8Xg8tGzZklGjRpGbmwvA999/z5gxY2jTpg2xsbF069aNOXPmYFllJ6a2bNnCMcccA8CoUaMwDAPDMNiyZUuVXfEty+LOO+8kPT0dj8dDly5dmDdvXlhOt99+O3Fxcaxbt46+ffsSGxvLcccdx4oVKw657KtXr8YwDN566y3Gjh1LfHw87dq1Y/bs2WHLffjhhwwfPpyjjjoKn8/HiSeeyHPPPVfltlasWMHo0aOJi4ujbdu2vPDCCwA89NBDtG3bluTkZK644gqKi4vD1v/5558ZN24cKSkpeL1e+vXrx+eff37IZYmmGjfsTz/9dDZu3Mg111xDbm4u7777Lrm5uVxzzTVs3LiRPn36RCJPERGRiDCNGBJ9E2iR+Hfat36YeO/ZOEwvSb6JgIuyB8iUdbFN8I7GNLzYdgn+4o/IL3qL4tL1YYNXlZR+h2XnVorjdnbA6ajqZIGINGSmYXK1byKDPQNId7SlvSOdS2N/SwfHMfWaR9AOUkxx5ekEKbSL6jUXqVvbt2+nX79+7N69m+eff57HH3+cL774gv79+5OXlxdabvLkyUybNo3zzjuPpUuXMnfuXOLj40M9qXfs2EHnzp159NFHWbZsGVdddRUzZ87kjjvuAMq627/yyisA3H333Xz44Yd8+OGHtGrVqsq8brrpJm6//XYmTJjA0qVLGTp0KNdccw2PPPJI2HKlpaX87ne/Y8KECbz66qukpaUxYsQIdu/eXaP34ZprrqFTp068+uqrnH/++UyfPp3//Oc/oflbt26lT58+PPnkkyxdupQRI0Zw+eWX88wzz1Ta1rXXXstxxx3Hq6++Su/evfn973/P9OnTWbFiBY8//jgzZ87k2WefZc6cOaF1srOz6du3L2vXruXhhx9myZIl+Hw+Bg0aREZGRo3KEg21uhmoRYsWzJo1q65zERERaTBcznakxN9MUenn2HYAj6szbuexWHYhu/PuI2hlUHZ+PIDX3ZdmsZcAYFO8d/r+A/IdfIA+EWmYXIaTrq5OrCn+gCKK2OTfzEfOT7nKNwG34a6XHByGg2QziWwrJ/SIPQCfEYvP0KM0G7P777+f0tJS3nzzzVBX+J49e9KtWzcWLFjA5MmT2bBhA4899hh33XUXM2bMCK07YsS+8RfOPPNMzjzzTABs26Zv3774/X4eeeQRbrvtNjweDz179gSgY8eO9O7du9qcMjMzefjhh0ONe4ChQ4eSmZnJzJkzufbaa3E4ynqxlJSUMGvWLM455xwAOnfuzDHHHMPy5csZN+7QnxQxYsSIUKwzzzyTN954g3/+85+cddZZAIwZMya0rG3b9OvXj59//pl58+Yxfvz4sG2NGjWKW2+9FYBevXrxyiuv8OKLL7Jp0yZcrrKeL6tXr+bll1/mz3/+MwAPPPAAOTk5fPLJJ6SlpYXy6NSpE/fee2+lHgQNTd0+aFNERKQJcTpSiIsZRrz3XNzOYwEoKHpzb6M+CJQCNoUl71MS+BEAl6M9lRvxJh6nxqARaaz8lp/H8p+iiH1XxjcGNvFq4ev1msfE2HG4ceHEgRMnLpxcHnsphmHUax5St9577z0GDRoUdn97ly5d6NGjB++//z4Ab7/9NrZtc/nll1e7naKiIm677TaOPfZYPB4PLpeLm2++mZ07d1YaH+1gPv74Y0pLSxk1alTY9EsuuYRdu3axYcOG0DTTNBk8eHDodXp6Ol6vl59//rlGMYcOHRr6b8Mw6Nq1a9g2srOzmTJlCu3atcPlcuFyuXjiiSfCcik3ZMi+gWybNWtGWloa/fr1CzXqATp16sT27dtDr998800GDhxIcnIygUCAQCCAw+Ggf//+fPrppzUqSzREZvhOERGRJqo0uIOyRn1FTgLBnbidx+J0pJEYexk5/mcof/Sd19WLWM+Aes5UROrKDmtnpW7wQYJ8F/gh4rGL7CJ2BHfixkUbx9H8JWEa60u/x8ami7MTKbrFp9HLzs7mxBNPrDS9RYsWZGVlAbB7926cTmfoSnJVpk+fzvz587nttts4+eSTSUxM5N///jd33nknRUVFxMUd+oCP2dnZoRz2zwkI5QXg9Xpxu8N7rrjdboqKanaLSGJi+OMi3W43OTn7BqydMGEC//3vf7n11lvp3r07CQkJPPbYY7z00kuHtK2qplXMMTMzk48++iis8V+uQ4cONSpLNKhh3R7DTAAAIABJREFULyIiRzzbDpBXtJTMvK+wbYNY9xnEegZWeRXMYSZTuat9ELPC86tj3D1Jc3YmYGVgGvG6t16kkXNTdXd7TzXTy9m2jYWFw6j6OfQHszWwnbkF8/HbZY/ZbONozSTfVfTxVN+FWhqf5OTkKu/h/vXXX+nUqRMAzZs3JxAIkJGRUW3j/uWXX+bqq69m+vTpoWlvvPFGrXMCyMjIoHXr1mE5VZxfX4qKinj99de57777mDx5cmh6+cCAdSE5OZmzzjorNCZBRR5PdU/LaTjUsBcRkSNerv8Fiko/p/xKfF7Rv7DtEuK8Z1VaNi5mGEWlX2LbRXuXd+B2HovH2T1sOdOMxW2mY9sBAsEMTMOLacZHvjAiUueOdhxFO0cbfg7+j+DeesLAoI+nNwWWH59Zdo/7lsBWPi75nIBdSpFdzDeB9QQI0sbRmstjL6W549AbQ6V2gMcKnqTQLgxN+1/wF17wL+aquMvqtoASVX379uWJJ54gOzubpKSyJ6/88MMPfP3110ycOBGAQYMGYRgGTz/9dFjDvaLCwsKwK+fBYJBFixaFLVM+/2BX03v16oXL5eLll18O3ZcPsHjxYtLS0kInHOpLcXExlmWFlS8vL4/XXnutzmIMHjyY559/nq5d/5+9O49vqkobOP67SZo0TVdoaYECZRGxrwoygwqCLbKMgqBiVQRlVSqyi6zCgKKsojIgdkBkExQZcdyAkVEWYVgURWQTlELZCoUWuiVtlvv+URob2kATmpaW5+unktztPOee5CQn99xzbsNkMpXZccvLTdmwL+xeYTKZXEYy9gWdTkdQkG+/yBVeUZL8eK488lPYhchoNPo8LSkf7wQEFHwhqyp5qmpl5Ov82B05pF7cdcVSB7n531KzRsG9hVm5O0jP/BKHw0KAIZa6kRPJzNmCzX4Rg74eoYHtUZTiH6nmvCOcPv8ODkfBvY1Bpvvx9y+4D1HqBM9JneCdqlZGFZWfMYEvsTR9Bb9Y9mFXC26z+cT8GZ+YP6Op/x20CWjJvOwFaNAUm/f+pP0083L/ydSoyeg1rlf53X1POGU9TfalHJdt7dg5Yj/q1TmuymVT2Y0YMYLFixfTsWNHXnnlFSwWCxMmTKBu3br06dMHKLgf/IUXXmDChAmkp6fTrl07cnNz+frrr5k8eTK1a9emQ4cOLFy4kNjYWMLDw5k/f36x6dyioqIIDQ3lo48+on79+hgMBu68885iMYWHhzNkyBBmzZqFv78/9957L2vXrmXlypXMnTvXOXBeeQkJCaFFixZMnz6diIgIdDod06dPJyQkpMxGrH/ppZdYsWIFcXFxDBs2jLp165KWlsbOnTupVasWI0aMKJN0fOW6Gvbnzp0r8deeunXrXs9hfc5qtQKQk5OD3e7beT+DgoJcpqnwBa1Wi16vl/x4oTzyYzabnf/6Oi0pH/eu1oUqNzcXg8FQ6fLkTmUtI3d8nR+7I6PE5Q41n6ysLMz5P3IpdylcHoU6M3cb5rxTVAschkFbMAZtdra5+P6ObNIy30QtMthWVs42MjPyAakTvCF1gncqaxm5U1H5UVUVh03FquZjv6Lhvteyj18svwIUa9QXLkuzX+DApUM01LlOk+fue4LdUXLe9Ph5dY6rctlcr4ruZl2nTh02b97Myy+/TM+ePdFqtXTo0IG33nrL5ceLefPmUb9+fRYuXMjbb79N9erViYuLc24zd+5cXnjhBYYMGUJAQAB9+vThscce4/nnn3ceQ6PRsHjxYsaPH0+7du3Iy8sjOTm5xLhmzZpFaGgo77//vnM++6SkJBITE317QtxYuXIliYmJ9O7dm+rVqzN06FCys7N58803y+T41atXZ8eOHUyYMIExY8Zw4cIFatSowb333stjjz1WJmn4kqJ6+HPahQsXGDJkCGvWrHE2kAupqoqiKD5/I1+vwm4uGRkZlarScUer1Up+vFQe+Tlz5gx33nkne/fudTtPaFmR8nEvPDzc7TqpE7xXFfKjqg7SMifjUDPAOYWUFj9tA6oHDeN85lRsjtPF9qseOBY/XbTb4+ZZ95OR80+uHCH/XGow7doslDrBC1IneKeylpE7FZWfNPt5Xs26vumehwe+SCNdA5dl7r4nqKrKgpwlHLAdcun+n2B8hDhDa4/Trsplc72uVh8IUVl4fMX+ueeeY/PmzYwbN47Y2NhiIyAKIYQQlYmiaAgLfIGM7Hk41EwAtJoIQk19AHCoJd+HWPRKfMl0QPHfzkvqsi+EuPFlqznX3sgNBYUgJZA62trX3rhwH0Whn+kZPjN/xW7rHmyqlRqaGkQo0ggVQhTn8beLjRs38o9//INevXr5Ih4hhBCi3PlpaxEePAm94SLmXAs6bTTK5VGsDX63Ys7fRdEp7hQM6DS13B5PVVX0uvpoNdWxO9L586q9gsnQEnjPZ3kRQvhGpCYCLVrn1XNPVNdUI9HUF4PiWZdvP8UPo+JPrpqLisoJx0nm575PX57hL/ri06MJcaNRVfWqvTc0Gg0ajaYcI6q6PD6LoaGh0l1FCCFElaNRDBgNjfDT1XM26gGCjI/jp41xPlcwEGpKRMVGlvlzLuYsJduyAVW1km87Rlrmq5y9NJS0zEmYDO3w0zYE9GiUYIKNT2E0yJdxISqjAE0Aj/h38mifW7W3MCFwNJOCxlJTG+VxmmbVwjd536Fe0fvnU3PZjQQuhC8tXboUPz8/t3+vvfZaRYdYZXh8xX706NHMnTuXjh07otNJd0IhhBBVm0bxp1rgMGz206hY0GlqoWLjQtY0HGouYAerFov1J2z2VMAGqDjULDLNn1AtcBh6XSPn8S5xpqKyIoS4Tq0M9/CFZS22Ul61P2L/g2XmlbwcOBQFxeP0chw5xRr1ADnXcVuAEOWpS5cu/PDDD27X16rlvveb8IzHLfODBw9y4MABGjZsSFxcHKGhoS7rFUVhzpw5ZRagEEIIUdEUReMyUF6mec2fjXoA7NjsJwGFK++rN+f/4NKwF0JUXv6KP30DnmVR7jI0aLBhu+r2Dhyk2E+S5rhApDbC4/RCNSH4Y8DCn1OWadB4dfVfiIpQvXp1qlevXtFh3BQ8bth/9dVXzvsgvv/++2LrpWEvhBCiMlJVK+cylpGZswNQMOrvJci/i0u3/EIFU+RdecWueKO+4Lg39kwxQgjPNNXfzivaUfxu+4OPzZ+WeEX9Srvzf6aTsaPHaekUHf1Mz7IgZzGgoKLirxjoHfC0F5GLG4GvZiYoOi2euDl53LB3N8+hEEIIUZldyl2JxfoThQ323LyNoFoJDnii2LZ+2lrkWffi2rgvPnc1gL/+zrIPVghRoSK1EURqI8hRc/nSsu6ajft1eRtobWhJsMbzxlesXxMmBI3miO0PtIqWWF0TAjUmb0MXQlRRcpO8EEKIm56q5mOxXnkPoJ3c/K0EGRNQFNd7Y02Gdlise7HZT+GuQQ8agozd8PeThr0QVVUHQ1uCNUH8mP8zWY5sHDg440gttp2Kyjl7mlcNe4BwbXXCtdKdWQjhXqka9mvWrOGBBx4gNDSUNWvWXHP7bt26XXdgQgghRHlRVXf3ydrJs/6Gv76Jy1JF0VM98CUychaQbzuEaxd8LQH6+wkydkVR/HwVshDiBqAoCvfqW3CvvoVz2cysd0ixnyy27cKcpQwM7E+Mrq7b49lVO5vytpJsP06gYqKtoQ2R2ho+iV0IUbWUqmGfkJDAjh07uPvuu0lISLjqtoqiXHWuwit99dVXfPfddxw7doyWLVsyatQo57rjx48zd+5cjh07RmRkJAMGDKBp06bO9du2bWPp0qWkp6fTpEkThg4dSo0aUvkJIYTwjEYTgE5TG5vjVLF1l8wfkGe7B7vjHHZHGqBFr7uFIOMj+Glrk287jGuXfDu5+ZvQaWsRYGhZXlkQQtwgEoyPMif7PRw4XLro55LLuzkLmRw0DpMmoNh+qqryfs4yDtgOYceOBg07839kdNAwGSxPCHFNpZrHPjk5mWbNmjkfX+3v6NGjHgVQrVo1nnzySTp2dB1QxGazMWXKFO6++24++ugjunfvzrRp07h48SIAJ06cYM6cOQwcOJAVK1YQExPDzJkzPUpbCCGEKBRq6lviclXNxZy/iXzb/suN+zOY87eRkT0fve5OSu6Kr5JpXkGe9TefxiyEuPE00MUwKmgYAbg23lVULKqF4/aUEvf7MW83v9r2Y7/8Q6EDBzZs/Cv3czIdvhlwTYiriYmJYf369QBMnTqVPn36ONft2LGDJk2aEBgYyNKlS8s87RdeeIFJkyaV+XGrslJdsa9Xr16Jj8tCq1atADh69KjLKJG//voreXl5JCQkoNFoaNOmDV9++SXbtm2jc+fObNq0iebNm3PXXXcB0KNHD5599llSUlKoW9d9FychhBCiJFpNJKAH8ktYe+XAWHas9j9QFAV//T1Y8neUsI9CnnUvBr9byzxWIcSNLVpbi3BtNXLsrvPNq6j8at2PDh2N/Qqmwdxt2QPAZ+avMYUFFtv+N/sRxme+SlO/2+kd0BO93OIjPLR69Wpmz57Nvn37CAgIIDY2lpEjR9KlS5dSH2P8+PEuzydOnEj//v1deluXpaSkJJ8ctyor1RX7ipCSkkJMTIxzaj2ABg0acPz4caCgm379+vWd6wICAoiKinKuF0IIITyhKAqR1XoVPrv8d9U9UFUzWiXQzbZqKY4hhKiq2uhboZRQB/wvfydzc/7Jp7lfcNJ2ijXmL0p1vH3Wg6XeVohChT2cX3rpJc6cOcOZM2eYOHEi//73v6/ruMnJydxxxx1e7WuzuRvXRlyPG3ZUfLPZjMnkOpWHyWTi3LlzAFgslhLXm83mYsc6f/4858+fdz738/MjLCwMrbb43MRlTVEUn6dTeHzJj+fKIz+FP05pNBqfpyXl452qlifJj/dMpvuxWY2Y83cDkG9NxuY4i7vu9qhmFEXv9ngB/i2KxS11gvekTvCO5Md715OfVsZ7yCSLL82u0+HZL9cnm/K/x4IFTSmvs9mx86t1Pz21T3oVj5RN5aFarZi3b8V+Pg1teATGlq1R/DzvqZGZmckrr7zCokWLePLJP1837dq1o127diQnJ/Pcc8+xZ88eFEWhQ4cOzJ8/n7CwsGLHmjx5MocOHeLjjz8mJiaGlJQUHnvsMbRaLUePHsXhcDBo0CA2b95MUFAQzz//PGPHjkWj0bBp0ya6d+/O2LFjmTVrFnfccQfdu3cnKSmJdu3akZSUhL+/PzNnzqRnz54A9OnTh6ioKKZPn05mZiY9e/Zk586dWK1WWrZsSVJSkvTSvsIN27A3Go3k5Lh2X8rJycFoNALg7+9Pbm6uy/rc3Fzn+qI+/fRTFi5c6Hzet29fBg0aRHBwsA8iL06vd/+lryxJfrzj6/wU3mISFBRUYkVZ1qR8PFeYl6qUJ5D8eKtm5H3AfQBY8k9y9OTfUR35qBS/wpCRu/jyoyuvymmpEzmEkKC/FNtH6oTrI3WC9yQ/3rme/GSedX9vvIrK9vxdznvqSxWLVn9d9YaUzY1PtVpJf2cmtlMnnMvMu7ZTbdgojxv3//vf/7BYLG5nLFNVlTFjxhAXF0dWVhYJCQlMnDiRefPmXfW4x44dIyYmhqSkJB588EEA2rZtS/369UlJSeH06dM8+OCDRERE8PzzzwMFF1qTk5P5448/UFWVVatWsXv3bnr27MnZs2f54osv6NWrF126dCn2+nE4HPTu3ZtVq1bhcDh47rnnePHFF/nqq688Oh9V3Q3bsK9bty6ffvopDofDeXUjOTmZ+++/Hyi417/oQH1ms5nU1NQSxwB4/PHHiYuLcz73u/ymyMzM9GgEf2+YTKZiP1CUNa1WS3BwsOTHC+WRn8Iv8VlZWWRkZPg0LSkf9672RSgzM7NS5smdylpG7lRsfkzUCJmIOW83Web/4lAvutnzz6txgf6dCA7ojMOmKfE9L3WC96RO8E5lLSN3KlN+knOPuVytvx4aNLTWt/S63pCyca88fmQtLfP2rQWN+iLnz3YyBfP2rQTc39ajY124cIHw8HBn2+dKDRo0oEGDBgAYDAZGjBjBhAkTPI755MmTbN68mTVr1hAQEECjRo14+eWXWbZsmbNhr6oq06ZNw9/f37lf7dq1GTJkCFAwXXqfPn04fPgwf/3rX12OHxoa6jIz27hx42jdurXHcVZ1Fd6wt9vt2O12HA4HDoeD/Px8NBoNd9xxB3q9njVr1vDII4+wc+dOjh8/zn33FVxFiY+PZ+TIkezZs4fY2FhWrlxJTExMiV0ywsPDCQ8Pdz4vrBAL0/YlVVV9nkYhyY/nyiM/DofD+W9VyE+hqlI+gDONqpQnkPx4o+T8BGHUx5ObtxuH3V3DvpAO0OJwqODmKpzUCd6TOuH6SH48d735qa6pznH7iWtveA3+GGhvaEtbvzZexyNlUznYz6eVvPzC+RKXX0316tU5f/48Vqu1xMb92bNnGTZsGN9//z1ZWVk4HA6CgoI8TufUqVOEhIS4/EASExPDqVN/TiEbHh5OQIDrTBFRUa7TOAYEBJCdnV3s+Lm5uYwYMYL169c723HZ2dnk5eVhMBg8jreq8mrwPKvVSlJSEv3796djx44cOXIEgFWrVnHw4EGPjrVq1SoSEhL45JNP2LZtGwkJCcybNw+dTseECRPYsWMHTz/9NCtXrmTcuHGEhoYCUKdOHYYOHcq7775Ljx49OHr0KKNHj/YmO0IIIcQ1GfV3l2IrFY1SfH5qIcTNqav/QxjwvuFRSxPFtODJvBn6Bg8a26NRbthxr0UZ0YZHlLy8eniJy6+mVatW+Pv789lnn5W4fvz48TgcDvbu3UtmZiYrVqxAVT3vYVK7dm0uXbrknJYcCrrr165d2/lcUbwfTHb27NkcOHCAHTt2kJmZyffffw/gVaxVmcdX7I8ePUr79u05f/48d911F1u3bnV2K9yyZQvr169n8eLF1zjKn3r06EGPHj1KXBcTE8Obb77pdt/WrVtLNwwhhBDlwqhvTb7tOBZrSVPbAWjRKEH4+xW/r14IcXMK11ZnQvAo1lm+4af8vViwuN22pEH0zjrO8Vb2XDoa2tHSUJofF0VlZ2zZGvPO/7ncY6+LrouxpedtnuDgYN544w0GDx6MRqPhwQcfxGg0snXrVj788EOysrIwmUyEhIRw+vTpq7a7riY6Opo2bdrw8ssvM3fuXE6fPs3s2bPLbCq8rKwsjEYjoaGhZGRkMGXKlDI5blXj8c9+Q4cOJSIigqNHj/Ltt9+6/FISFxfHli1byjRAIYQQ4kagKAqhpmcIMw1Fp2mAVhOJQXcnem0sOk1t/P3uonrQaDQauWIvhPhTmCaUHgFPcrvfbVfdTi1h9g07DtIcF1hpXs3O/B99FaK4gSh+flQbPpqgbk8RENeOoG5PeTVwXqFhw4Yxb9483nzzTSIjI6lZsyaTJ0/m0UcfZdKkSezdu5fQ0FA6derEo48+6nXcH330ERcuXCA6OpoHHniAXr168dxzz3l9vKKGDx9Ofn4+ERER3HPPPXTo0KFMjlvVeHzFftOmTXz00UeEh4cXu68lKiqKM2fOlFlwQgghxI3G4NcYg99LFR2GEKKSidbW5ifrLzhKnD4TNGid895fOeCeisp/LZu4R//XknYVVYzi5+fxQHlX8+STT7pMd1fU7t27XZ6PHDnS+fjYsWPOx5MnT3bZrug6gFq1arnt8h8fH09qaqrLsj59+tCnTx+XZUW3WbJkicuxN23a5LJtYmJiiWndzDy+Yq/T6dzez3D27FkCAwOvOyghhBBCCCGqknhDaxppGzgb71dSUWmtb8mj/p1LXJ+v5vkyPCFEJedxwz4uLo7Zs2djtVqdyxRFQVVVFixYQLt27co0QCGEEEIIISo7naJjcOAAEk19+T9dE7RoXdY7cHDAepC7/f6KP/4u67Rouc2vSXmGK4SoZDzuij9jxgxatWpFbGwsXbt2RVEU3n33Xfbt28eRI0fYtWuXL+IUQgghhBCiUtMoGm73i0WPnv22Q8XWZ6iX+Mn2CwMD+5OUswizWjDY3i26hnQzdinvcIUQlYjHDfsmTZqwe/duJk+ezEcffYRWq+Wrr76iffv2rFixgoYNG/oiTiGEEEIIIaqExn6NiNU14cAVjXsHDk7aThFnuI/Xgydy1p6GQTFQQxN+XdOFCSGqPo8b9gD169dn6dKlZR2LEEIIIYQQN4U7/W7nkO2wyzItWgI1BeNVGRQDdXXRFRGaEKIS8vge+wceeIBDh4p3HQI4fPgwDzzwwHUHJYQQQgghRFXWQn8X1TXVnPfaa9BgUAzEGe6r4MiEEJWRV9PdZWZmlrguMzNT5rEXQgghhBDiGgyKgVGBQ1mh/5jP+YS79E3pGfQUoZqQig5N+FBQUFBFhyCqKI+v2ANu7/H53//+R40aNa4rICGEEEIIIW4GAZoAHjY9BMDjpq6EaUIrOCIhRGVVqiv206ZNY9q0aUBBo75t27ZoNK6/CeTl5WGz2XjxxRfLPkohhBBCCCGEEEKUqFQN+1atWjFy5EhUVeW1117j6aefJjradTAPvV7PbbfdRpcuMhWHEEIIIYQQQlwpKyvLJ8eVLv6iVA37uLg44uLigIIr9s8//zy1atXyaWBCCCGEEEIIIYS4No8Hz5s0aZIv4ihXfn5+AJhMJlRV9WlaOp3O57+gFY55IPnxXHnk5+LFiwAYjUafpyXl452AgACg6uSpqpVRVcuP1AnekzrBO1WtjKpafsqrTpCyEaJq82oe+99//50lS5Zw+PBhLBZLsfVffPHFdQfmS1arFYCcnBzsdrtP0woKCvJZl5tCWq0WvV4v+fFCeeTHbDY7//V1WlI+7hkMBrfrcnNzMRgMlS5P7lTWMnKnquVH6gTvSZ3gncpaRu5UtfyUV50gZePe1eoDISoLjxv2P/zwA3FxcdSrV4/Dhw9z5513cunSJY4dO0Z0dDSNGjXyRZxCCCGEEEIIIYQogcfT3Y0ePZonn3ySffv2oaoqixYt4ujRo2zduhVFURgzZowv4hRCCCGEEEIIIUQJPG7Y//LLLzz99NPO6e4Ku+K3atWKyZMnM3bs2LKNUAghhBBCCCGEx+Lj4/H39ycwMND59+9//7uiwxI+4HHDXlEU9Ho9iqJQo0YNjh8/7lwXHR3N4cOHyzRAIYQQQgghhBDeeeedd8jOznb+Pfroo851qqr6fDwEUT48btjHxsbyxx9/ANCyZUtmz57Nvn37+O2335g+fToNGzYs8yCFEEIIIYQQ4magqlaycjeSnvUJWbkbUVVrmR4/Pj6e8ePHEx8fj8lkYteuXaxbt47mzZsTHBxMnTp1mDhxonP7Y8eOoSgKy5cvp379+oSFhTFixAiXYy5btozbb7+doKAgGjVqxPr16wHIz89n/Pjx1K9fn/DwcHr06EFGRkaZ5kcU8LhhP2DAAM6cOQPA1KlTOXv2LE2bNiU2NpYffviBN998s8yDFEIIIYQQQoiqTlWtpKbPJD1rFVm535GetYrU9Fll3rhfsmSJ80p+8+bNMZlMLFmyhIsXL7J27VoWLlzIv/71L5d9/vvf/7Jv3z52797N4sWL+e677wD497//zejRo1mwYAGZmZls3LiRevXqATBu3Dh++ukndu7cyYkTJ9Dr9QwePLhM8yIKeDwq/rPPPut8fNttt3Hw4EG2b9+O2Wzm3nvvpUaNGmUaoBBCCCGEEELcDLLNW8m3nQD+7B6fb0sh27yVoIC2Xh3zpZdeco6DFhgYSKNGjejVqxfNmjUDCqb7u//++53b33HHHTz99NNs3ryZhIQE5/JXX30Vk8lEgwYNuP/++/npp5944IEHSEpK4uWXX6ZVq1YA1KlTByjo5p+UlMSPP/7obCNOmTKFhg0bsmzZMrRarVf5ESXz6Iq9xWKha9eubNmyxbksMDCQDh060LVrV2nUCyGEEEIIIYSXrPa0Epfb7Oe9PuZbb73FxYsXuXjxIidPngRwXlEvtHPnTtq2bUtERAQhISG89957nD/vmmZUVJTzcUBAANnZ2QCkpKSUOOV5Wloaubm5tGzZktDQUEJDQ7njjjvQaDSkpqZ6nR9RMo8a9v7+/mzevFkGWBBCCCGEEEKIMuanjShxuU4bXqbpKIri8rxHjx507tyZlJQULl26xMCBA1FVtVTHqlu3Lr///nux5eHh4RiNRvbs2eP8YeHixYtYLBZq165dJvkQf/L4HvuOHTvyzTff+CIWIYQQQgghhLhpBRpbo9fVAbTOP72uLoHG1j5NNysri7CwMIxGIz/++CMrV64s9b4DBgxg9uzZ7NixA1VVOXnyJIcOHUKj0ZCYmMiIESOcY7SdO3eOzz//3FfZuKl5fI993759SUxMJCsri06dOhEZGVnsF5/mzZuXWYDXkp2dzbvvvstPP/2E0Wjkscce45FHHim39IUQQgghhBCiLCiKH1HVRpNt3orNfh6dNpxAY2sUxc+n6c6fP5+RI0cyfPhw4uLieOKJJ4p1xXenW7duZGRk0K9fP06cOEFUVBTz5s2jSZMmTJ8+nWnTptGmTRvOnj1LZGQkTz31lLTXfMDjhv3DDz8MFBT+/PnzXRr1qqqiKEq5dtX/5z//idVqZfHixZw7d46JEycSHR3NX/7yl3KLQQghhBBCCCHKgqL4eT1Q3pU2bdpUqmUJCQkuA+UVFRMTU6xb/scff+zyvH///vTv37/YvgaDgcmTJzN58uRSxyy843HDfuPGjb6IwysWi4Vt27bx9ttvExAQQExMDB07dmTDhg3SsBdCCCGEEEIIcVPwuGEfFxfnizi8curUKVRVdRnVsX79+mzfvr0CoxJCCCGEEEIIIcqPx4Pn3UgsFgsBAQEuy0wmE2azuYIiEkIIIYQQQgghypfHV+xvJP7+/sUa8bm5uRiNRpdl58+fdxn8wc/Pj7BF5zHlAAAgAElEQVSwMLRarc9jVBTF5+kUHl/y47nyyI9Go3H+6+u0pHy8U9XyJPnxntQJnqtq5QNVL0+SH+9VpTpBykaIqq1SN+wL5z9MSUmhbt26ACQnJzsfF/r0009ZuHCh83nfvn0ZNGgQwcHB5RKnXq8vl3QkP97xdX6ysrIACAoKIiwszKdpgZSPNwrzUpXyBJIfb0md4J2qUj4gdcL1kvx4pjzrBCkbIaquSt2w9/f357777mP58uWMGDGCtLQ0vvnmG4YNG+ay3eOPP+4yNoCfX8F0EZmZmT4fwd9kMpGTk+PTNLRaLcHBwZIfL5RHfgo/sLOyssjIyPBpWlI+7l3ty1JmZmalzJM7lbWM3Klq+ZE6wXtSJ3inspaRO1UtP+VVJ0jZuFceP7IK4WuVumEPkJiYyLx58+jTpw9Go5HHH3+82Ij44eHhhIeHO58XVpp2u93nlY6qquU2/Z/kx3PlkR+Hw+H8tyrkp1BVKR/AmUZVyhNIfrwhdYL3qkr5gNQJ10Py47nyqhOkbG4MQUFBFR2CqKI8btinpKS4XafRaAgJCSnXF2xgYCBjx44tt/SEEEIIIYQQQogbiccN+5iYGBRFueY2w4cPZ8iQIV4HJoQQQgghhBBCiGvzuGH/4YcfMm7cOBo3bswjjzxCjRo1OHfuHJ999hlHjhxh7NixbN++nREjRgBI414IIYQQQggh+HNMhbImXfyFoqqq6skOAwcOxOFw8M9//rPYugEDBmC321m0aBGDBg3iu+++4+DBg2UWrBBCCCGEEEJUVtKwF76i8XSHjz/+mISEhBLXPfHEE6xZswaAhx9+mOTk5OuLTgghhBBCCCGEEFflccNeo9Hwyy+/lLhuz549aDQFh9RqtRiNxuuLTgghhBBCCCGEEFfl8T32PXv2ZOLEieTn59OlSxciIiJIS0vj888/5/XXXycxMRGA3bt3ExsbW+YBCyGEEEIIIYQQ4k8e32NvtVoZM2YMSUlJ5OXlOZcbDAYGDhzIjBkz0Ol0bNmyhcDAQJo3b17mQQshhBBCCCFEZVOZ7rGPiYkhKSmJBx98sMyPLcqexw37QhkZGfz666+cOXOGmjVrcvvtt1OtWrWyjk8IIYQQQgghqoTybtjHx8fTvXt3mjRpQvfu3UlNTS31MaVhX7l43BW/UFhYGPfff39ZxiKEEEIIIYQQQggPedWwz8jIYN26dZw8eRKLxeKyTlEUJk6cWCbB+crhw4crOgQhRDlr3Lix23VSJwhx85E6QQhR6Gr1QUWwqla2mreTZj9PhDac1saW+Cl+Xh8vLy+Phx56iLy8PAIDAwH44Ycf8Pf357nnnmPPnj0oikKHDh2YP38+YWFhLvufPXuWevXqkZycTM2aNQE4c+YM9evX59ixY0RFRXmfWVFmPG7Yf/PNNyQkJJCdnY3RaESv17usrwwNeyGEEEIIIYS40VhVKzPT3+GE7ZRz2XbzLkZVG+Z1495gMLBu3bpiXfGPHj3KmDFjiIuLIysri4SEBCZOnMi8efNc9o+MjKRjx46sWLGCl19+GYAPP/yQ9u3bS6P+BuLxdHcjR46kRYsWJCcnk5OTQ0ZGhstfenq6L+IUQgghhBBCiCptq3k7J2ynsBf5L8V2kq3m7WWeVoMGDejYsSMGg4Hw8HBGjBjB5s2bS9y2b9++LF++3Pl8+fLl9O7du8xjEt7zuGF/9OhRxo4dS7169XwRjxCVUvfu3dm1a1dFhyGEcGP9+vW8+OKLPjn2F198wfDhw31ybCFuJmfPnuWhhx4iPz+/TI6Xn59P27ZtPRosrKgxY8bw9ddfl0ksV1qwYAHTp0/3ybFF5ZZmP1/i8vP2C2We1tmzZ+nevTu1a9cmODiYnj17cv58yek//PDDnD59mj179vDzzz9z8uRJunbtWuYxCe953LBv3rw5J06c8EUs4iY1fPhw2rVr5/K6SklJoW3btj5LMzU1lYcffph9+/a5LJ83bx6jRo3yWbpCiOs3fPhwOnbsyEMPPcQjjzzC6NGjSUlJqeiwhLjplfQj9549e+jWrVup9o+MjGTdunXO2zyHDx/OF198UeZxFpo+fToLFixwPk9NTeWZZ55h3rx5qKrKjBkz6Ny5s8/SF6IkEdrwEpeHa6tf13EVRSm2bPz48TgcDvbu3UtmZiYrVqzA3YRpfn5+PPPMMyxbtoxly5bx1FNPYTAYrismUbY8bti/9957/OMf/+A///kPNpvNFzGJm1BgYCAffPBBuaUXFRXFgAEDmDlzpvPKwP79+/nmm288atjb7XZfhSiEuIrBgwezbt06Pv74Y4KCgpgxY0ZFhySEqMRSUlIYNmwYbdu2ZfDgwSU2goQoD62NLamjq422yH91ddG0Nra8ruNGRkY6b50ulJWVhclkIiQkhNOnT/Pmm29e9Rh9+/Zl5cqVfPTRR/Tp0+e64hFlz+PB81q2bInVaqVTp05oNBqMRqPLekVRuHTpUpkFKG4Ojz32GJ988glHjhzhlltuKbbearWyZMkSvvvuO3Jzc/nrX//K8OHDCQoKYtasWURFRfHss89isVjo2rUrCQkJDBgwALvdTpcuXfjggw+KDe7RtWtXtmzZwgcffEC/fv2YOXMmiYmJhIWFkZSUxLfffovdbufuu+9m8ODBzlFE27Zty7Bhw1izZg1paWmsW7fO5bhnz55l9OjRdOnShYSEBN+dNCEERqOR9u3b89prr3HixAnmzJnDb7/9RmhoKN27d3d7te3dd99ly5YtZGVlER0dzYsvvkizZs0AWLJkCUePHiU4OJhNmzYREhLCSy+9xF/+8heg4D0+Y8YMDh06RIMGDWjatGm55VeIyq579+5069aN//73v5w6dYo77riDV155haCgIFJTU3n66af5z3/+w+LFi/n11185cOAA7733Hm3atGH8+PGkp6czd+5cfvnlF3Q6HZ06daJXr15oNBocDgeLFi3i66+/xmAw0KtXr1LF9PvvvzN69GieeOIJnn76aefy4cOH88ADD9C1a1fWr1/PF198QfPmzfnyyy/R6/UMGDCADh06AJCZmcmsWbP4+eefiYyMpH379nz++ed8/PHHAPzxxx/MmjWLlJQU7rzzTiIiIlxi2LlzJwsWLODs2bPUqVOHwYMH83//939AQc8Cg8HAhQsX2L17N9HR0UyePJktW7awevVqFEVh0KBBPPDAA2VRRKKC+Sl+jK42nK3m7Zy3XyBcW/26R8UHaNKkCc888wyNGjXCbrezfft2Jk2aRK9evQgNDaVRo0Y8++yzzJo1y+0x7rzzTmrXrk1OTg733HPPdcUjyp7HDfuRI0fKr5iizFWrVo1u3brx/vvvl3jlbeHChRw7doz58+cTEBDA22+/zZw5c5gwYQLNmjVj/fr1PPvss+zbt4+IiAj27NkDwKFDhwgODnY7YufLL7/M888/z6lTp4iKiqJz584sWbKEn376iffeew9/f3+mTZvGO++8w4QJE5z7bdq0iTlz5hAQEOByvOTkZMaPH0/fvn3p2LFjGZ4hIURJcnJy2LBhAw0aNGD8+PG0bduWadOmcfToUUaPHk1UVJSzQV5U48aNeeaZZwgMDOSzzz7j1Vdf5aOPPsLf3x+AHTt2MHHiREaMGMGaNWuYOXMmq1atAmDKlCk0bNiQ6dOnk5ycLOPOCOGhDRs28PrrrxMcHMyoUaNYvXo1/fr1c9kmMTGRgwcPOhvWAA6Hg1deeYW//OUvjBs3jszMTMaNG0d4eDgPP/wwa9euZdOmTcyfP5/Q0FCmTp16zViOHDnC119/Td++fXn00Uevuu3hw4dp3749a9asYdu2bUybNo1WrVphMpn4xz/+AcDq1au5ePEi48aNc+5ns9mYMGECnTt3pnv37vz8889MnDiR+Ph4AE6ePMmkSZOYNGkSd999N//9738ZM2YMK1asICQkBIDvvvuOGTNmMHnyZN544w1GjRrF3/72Nz755BO2bt3Km2++yX333Sddo6sIP8WPtgH3l8mxNm3a5Hy8aNEiFi1a5LJ+9+7dLs9HjhzpfHzs2LFix6tXrx4tWrQok9hE2fK4K/7kyZOdlY+7PyG80b17dw4dOsQvv/zislxVVb788ksGDRpEWFgYBoOBfv36sXnzZux2O82aNePAgQNYrVb27NlD165dOXv2LGazmT179jivwpUkKiqKfv36sWvXLuf0HRs2bKBXr16Eh4cTGBhIYmIiGzduxGq1Ovfr0aOHM5ZC+/fvZ/To0QwdOlQa9UL42Pz58+nSpQu9e/fGarWSmJhIVlYWvXv3xs/Pj1tvvZXOnTvzn//8p8T9O3ToQEhICFqtloSEBGw2G8ePH3euj42NpU2bNmi1Wv72t79x7tw5Ll26xNmzZzlw4ADPP/88er2eW2+9lfbt25dXtoWoEh5//HEiIyMxGo3cf//9HDlypFT7/fbbb5w7d47+/fuj1+sJDw/niSee4LvvvgMKGr+PP/44tWrVIiAgoFRdhQ8cOICfnx/33XffNbcNDw+nW7duaLVa7r//fjQaDSdPnsRut7N582b69euH0WikZs2aPPLII8799u/fj8VioUePHuh0Olq0aOHSMNq4cSMtWrSgZcuWzjqnbt26bN261bnNfffdR2xsLDqdjrZt25KRkcEzzzyDTqcjPj6e/Px8Tp8+XarzKIS3Dh48yIYNG4r9ECduDB5fsRfCVwIDA+nevTsLFy5k9OjRzuUXL17EYrEwaNAgl+0VRSE9PZ2IiAiqVavGwYMH2bNnD0OHDmX//v3s3buXPXv20K5du6umW79+fUwmk7Nb3Pnz512u8EdFReFwOEhPTycyMhLA+W9RX375JY0bN5auSUKUgxdffNFlNN7vvvuOiIgItFqtc1lUVBSHDh0qcf9Vq1axdu1aLlwoGGU4NzfX5TayatWqOR8XXsU3m82kp6djMpmct+ZAQX1Q2oaJEFWZTqcrNv6SzWZDp3P9unnl+8tsNpfq+KmpqVy8eJEuXbo4l6mq6vL5XaNGDee60syv3aVLF9LT03nppZd4++23CQ8veeCyK+OGgrnBzWYzly5dwmazuXSvL/r4woULhIeHo9H8eT0tMjKS7OxsZ9xXxhoVFeUyOvmV56zwh8lCer2+1OdRCG/079+f1atXM3Xq1BK/B4uKV6qGfdeuXZk9eza33HLLNac1UBSFzz//vEyCEzefbt26sWbNGrZv/3OuzpCQEAwGA++//77bD+lmzZqxY8cOTp8+TaNGjWjWrBk//vgj+/btc+lSVBrh4eGkpqbSqFEjoOCLhEajcflQLel2lML77mfOnMno0aNdPsCFEL4VERFBWloadrvd+WU3NTW1xC/pe/fuZeXKlbz11lvUr18fjUbj0lC4murVq5OTk0NOTg4mkwkouOdeCAE1atTgzJkzLstOnz7tdSPgys/ayMhIIiIinPetXyk8PJxz5845n5fmvanRaBgzZgzTpk3jpZde4p133inWgL+WkJAQdDodaWlpzh/90tLSnOurV6/O+fPncTgczu8G586dc97OFx4ezuHDh12OmZqaWuJtREJUlJK68YsbS6laHllZWc7RvzMzM8nKynL7l5mZ6dOARdVmMBh49tlnWblypXNZ4Zfud99913l1LSMjw6WLWrNmzfjiiy+IjY1Fo9HQrFkz1q1bR0hISKl+sS+qffv2LF++nAsXLpCTk8OCBQuIj4/Hz+/qg5YYjUamT5/OmTNnmDVrFg6Hw6N0hRDeu+222wgMDGT58uVYrVYOHz7M2rVrnQNbFZWbm4tWqyUkJAS73c6HH35Ibm5uqdKJjIwkNjaW999/n/z8fI4cOcK3335b1tkRolIqvP88OTkZVVU5fvw4//rXv67Zc86dsLAwl+7lt956K6GhoSxbtgyz2YzD4eDkyZPOcXXi4+NZs2YNZ86cITc3l6VLl5YqHa1Wy7hx47jlllsYMWIE6enpHsVZ2DV/8eLFmM1mUlNTXS5y/d///R8Gg4GPP/4Ym83G7t27XaYFjI+P54cffmDnzp3Y7XY2bNhASkoKrVu39igOIcTNrVRX7Ddu3Oh8XHQABiF8oXPnznzyyScuPxI9//zzrFy5kqFDh5KRkUFYWBht27Z1fug1a9aMnJwc5/309evXR6fTXfX+end69uyJ2WzmhRdewGaz0aJFC4YOHVqqfQsb92PGjGHWrFmMGjVKrtwLUQ50Oh1Tp07lnXfe4V//+hehoaH079+/xAF+WrRowT333EPv3r3x9/cnISGh2AjVVzNhwgRmzJjBo48+SoMGDXjooYfYv39/WWZHiErpoYceIjs7m0mTJnH+/HmqV69Op06drtnb053HH3+cGTNm8PXXX9OqVSvGjRvH1KlTSUpKcs6EU7NmTedI9p07d+b06dMMHDgQvV5P7969+f7770uVllarZfz48bzxxhvObvmeGDp0KDNnzuSJJ54gMjKSdu3asWHDBqCgfnr99deZNWsWy5cvp2nTpnTo0ME5dk+dOnWYNGkSCxYsYMqUKURHRzNt2jTnwHlCCFEaiqqqakUHUd6u7O4khKj6Gjdu7Had1AlC3HykThC+tHr1anbs2MHs2bMrOhRRClerD8paVlaWT44bFBTkk+OKyqNUV+zfeuutUh9QURRGjBjhdUBCCCGEEEJUJikpKeTl5dGoUSOSk5P59NNP6d69e0WHJW5A0gAXvlKqhn3hNGClIQ17IYQQQghxM7FYLEyZMoW0tDSCg4Pp0KFDqQflFEKIslCqhr0MAiaEEEIIIUTJGjduzPLlyys6DCHETUzmsRdCCCGEEEKIciD32Atf8aphb7VaWbJkCTt37uTMmTPUrFmTe++9l969e19zSjAhhBBCCCGEEEKUHY9HxT98+DAPPvggKSkpNG3alMjISM6ePcsvv/xCnTp1WL9+Pbfeequv4i0ThdOlZWRkYLfbfZqWyWQiJyfHp2lotVrJj5fKIz85OTksXryYvn37YjKZfJqWlI974eHhbtdJneA9yY/npE7wntQJ3qmsZeROVctPedUJUjbuXa0+KGtyxV74iscTbCcmJqLX6/ntt9/YvXs3a9euZffu3Rw6dAh/f38GDhzoizgrrao2h7nkx3OZmZm8+uqrZGZm+jwtKZ8bX1XLk+THc1IneK+q5QeqXp4kP54rrzpBykaIqs3jd8TOnTt54403aNiwocvyRo0a8dprr7Fjx44yC04IIYQQQgghxM0pJiaG9evXV3QYlYLH99jXqlULRVFKXKcoClFRUdcd1I3KqqqcsNq5YLPjcgeDAmrBPxRdqABGVSHXnMcVqyjYo+ChqhbsqaoqKIV7FjxXiuziUC5vX2SZgoKi1WAik9wcC/bLMxg4tyuSVpEFBcdWQC1MrUh+iqZ1ZY78VQXzFflxbqeozvOgukmLInkqmpamSL40Gg0mtOTmWrDbHc7tXc6xUuT8qwoqoNcoRGk1ROq0bl+j5cmhqqTa7OzLtQDwc66FE7l5LmXo4iplVdrXhdGhYLFYUFD+LIsrkwDUUrwu3JaVoiEILTk55suvNzf1gfOB96+LAFXBbC7IT6hOQx2dDn9NxZetOxazyskTNi5ddKCioqjK5TwWnGsVCPAvyJNa5D2mUlB/Fi005+vdmV3VZX1hGTtfH6pzRcF7KFBDbo4Zu80BmoJzX/h6UIqc7cK3iqpCYQhXvmqUy+k6HEVei5cPaPRXMFssBfWgwzXmYmld/l/RWFzey0W2djjUy7EpaDQKASYtuTlmHA7Hn3Vg4UvYeS6VIufHta4siEUtkrMi7y9AoxScT3//gveQCmgu50lVXNPSKErBa/nKtAqTV13TurKszp8vqBP2/mzh9AnL5fIHHLh/XRRdVuQcX+t1YTSCJdfi+ja9nNZVXxdFy+oarwsUBVOAhpwcM6rD4fqZeMXroug5KTEtrv660Bsgz2Jx7lB43rUaheoRGmrV0qHzq/g6wn7ehv2UDTX/8qxCRT7AVJe8q2j8HeRZLKiOgpNd8BpSSygz5c/HFHv45wKXj8eCLbSKwiUT5OXmYHc4iqdV7GCKS8zO1Vf5AHN+hhsd5JkLXuPq5TfKn/VMkXxd+QF2eZny5wvS7QeYRquQXV2LPdQGoRVf3uVFtarYU20ubxZVBfWCAyVEg66OH4q+4HzYz9tQsx1oInRoTHJl+2YVHx/P1q1bOXDgAI0bNwbg0KFD3HbbbXh4N3apHT9+nKZNm7J27VpatWrlXD58+HAOHjzIf/7zH5+kK7xo2E+aNImJEyfSrFkzGjRo4Fx+9OhRJk2axKRJk8o0wBtFqs3OnPRsshwevgkyzb4J6EoZvr1nyqm88nMx1+td/0+v5bmwQPwqsHFvdqjMz8gm2Won5/I5W51pxmTy8fnLtPj2+IUueV8+HrkiP3pgYLVAbtHfeBN6HD5o5YMFOdis19qynMqIciqjKpcf39dx2TkFaXy22kygydfn7+Yqn+AQeHF4EOER2nKKx5XqUMldcQnrztKfdzO+vyUDIIeL5ZJOeb3iCvPj18afgCdDbogf9H3Jfs5G9rx01PSrTEFthMBB1cjfZiZ/++X3ihYCeoeib+5fPoGKG05ISAgTJ05k1apV5ZJevXr1mDFjBv369WPPnj34+/uzfft2li1bxi+//FLq49hsNnS6G+/73o2sVD/hde3a1fm3evVqLl68yK233spdd93F3/72N+666y5uvfVWLl26xKeffurrmMudQ1WZ702jXlSIA/l2vsoqpx8g3PgkM5djVt8OGnMzygfeS88mx3GVLzYVIDPTUcpGvRDClzIvwQdJOT67EnUteRtzse4qr6atALButZC/rWI/831NVVVykjJQL17js88M2f9IJ39HkfNhh9wlF7Gftfk2SHHDGjJkCGvXruXnn38ucX1+fj7jx4+nfv36hIeH06NHDzIyMgB47rnneP311wHIzc3FYDAwduxYoKDhHRQUxLFjx4odMzExkTp16jBx4kTy8vLo168fs2bNIjIyklGjRhEdHU1kZCR9+vTh0qVLzv0URWH+/Pk0adKE0NDQYsdNSUnhtttuY86cOdd7WqqkUjXsMzMzycrKcv41btyY1q1bExoaSn5+PqGhobRu3ZpbbrnFZyM9VqRLDpV0adRXGiqwP69iP8AO5tlK7q0orls+cOoG+9HkZIodu3xnEuKGcO6sg9yciqmBbQfz3HRVFz6jXj7vVZiareI4Zy+4heZa8in+GtSALTnfB5EJX7GqKhuzcvkkPYuNWblYr+PHyqioKIYOHcr48eNLXD9u3Dh++ukndu7cyYkTJ9Dr9QwePBgo6Mq/adMmALZt20Z0dLTz+Q8//ED16tWJiYkp8bjvv/8+77//Pt27dycmJob+/fszdepUvv32W3bt2sXhw4dJT0/nxRdfdNnvk08+YcuWLaSlpbks379/P3FxcYwfP55hw4Z5fT6qslL1bygswJvVDXC7nvCQoYLvw9ZrgBur7Vml6G+wLpd6vcswFUKICuanr5g6QjHcWHXTTaOKn3dFf50HUEHRy332lYVVVZmZms6J/D+vGGzPNjMqqprXt5mOGjWKhg0bsmXLFmrUqOFcrqoqSUlJ/Pjjj87lU6ZMoWHDhixbtoz4+HgSExPJz89n06ZNDBw4kNmzZ5Odnc2mTZuIj493m2a9evWYMmUKo0aN4siRIwB8+OGHzJ49m1q1agEwc+ZMbr/9dhYvXoxeX/BCHzt2rEuMANu3b6d///7885//5OGHH/bqHNwM5F1eCoEaDXcZ/NwMESZuRO1NhgpO319eLz4SrdVQx69i7p91J6a+jsiaUp0KcSNoca8f+gpq2OvjAtyNJyp8yNAmoKJD8CnFoMHvHn8oxUefts4V1+y0oARr8Lvten8dEOVla7aZE/k27OD8S8m3sTXb+1tOQkNDGTNmDOPGjXNZnpaWRm5uLi1btiQ0NJTQ0FDuuOMONBoNqampREdHU7NmTXbu3MnGjRt54IEHaNWqFd9//z0bN268asMe4PbbbyckJITo6GgATp065XKFPyYmBrvdTmpqqnNZvXr1ih0nKSmJpk2b0qlTJ6/Pwc3A4xEJXnvttWtu8/e//92rYG5kvUIDCMw0s9Ocj3RmunEFaxS6BRm5y79iP8DaGPUowNdZlnIbUqqq0wJ36HX0CA1Ae4Ndsdf5Kbw4LJCPP8zlyCEbNumWL0S589NDy1Z+dHq04hp5fo0NmF4II3fVJdQMh3TL9yUFNNW1GJ8ORle/6jdaA54OwWzSYP3JgmpRcc6IUdjy04HuLn9MTwVj+8OK+d9ZqJl2tHX8COgRgmKUH58rizQ3txuet11fV9AhQ4YwZ84cvvrqK+ey8PBwjEYje/bscdulPj4+nq+//po//viDZs2aER8fz4YNG/jf//7HggULPIqhdu3aHDt2jKZNmwJw7NgxNBqNy6xqJQ2EOX/+fObMmUO/fv344IMP0Gjk9VwSjxv2b7/9drFl2dnZ2O12jEYjBoOhSjbs/RSFp0ICeCrEsy8MQUFBPh93QKvVEhYWRkZGBna7b/t/V7X8+IqiKLQJMNAmwMAZRy5fAlOjwqgZVXwgkLJU1cqnPPJTVkyBGvq/EHjN7aSMPFfV8nPmjJlPv4JJU8OoWVPqBE9UhjrB7/8MhLxW49obXiZl5Lmq8D3BU4pOIaBbMHQLvua2frEG/GIrtuei8F6Em16J4brr661oNBr5+9//ziuvvOJcptFoSExMZMSIEcyfP5+aNWty7tw5tm/fziOPPAIUNOwHDRpE27Zt0Wg0xMfHM2HCBMLDw93+GOBOz549mTJlCnfffTcmk4mxY8fy1FNPObvhu2MymVi7di2dOnWif//+LFq0SBr3JfD4jGRkZBT7M5vNrFu3jkaNGt309+MLIYQQQgghhDdaBxqpo9ehBedfXb2O1oHG6z52//79CVoIeAoAACAASURBVAsLc1k2ffp0mjZtSps2bQgKCqJVq1bs2rXLuT4+Pp7MzExnt/vbb78dvV5/zW74JRk/fjxxcXH89a9/pVGjRgQHBzN//vxS7RsYGMjatWv5/fffee6553DcYDMk3QgUtQznhPnggw9YtGgR27ZtK6tD+kReXh4Gg4H8/HyfT4mj0+mw+bhfrqIo6PV6yY8XyiM/J06c4JZbbuHIkSPUqVPHp2lJ+bhnMLi/eiF1gvckP56TOsF7Uid4p7KWkTtVLT/lVSdI2bh3tfqgrJWmR4tVVdmabea8zU64TkvrQOM1B84LCgoqqxBFJeVxV/yriY6OZs+ePWV5SJ8onIcxJyenynRJ0+v1kh8vlEd+zGaz819fpyXl497VPrSlTvCe5MdzUid4T+oE71TWMnKnquWnvOoEKRv3yrNhXxp+ikLboKo9KKQoe2V2c0JycjIzZsygYcOGZXVIIYQQQgghhBBCXIPHV+yDgoKKjVZotVrJz88nICCANWvWlFlwQgghhBBCCCGEuDqPG/YjR44s1rD39/cnOjqahx56iGrVqpVZcEIIIYQQQgghhLg6jxv2kydP9kEYQgghhBBCXJvqULm0IZ3s3y5CoILh/gA0wdc3FZgQQlR2Xg+el5GRwa5du0hPT6datWrcfffdxaZPEKK82FWVjbl5HMqzEaBRiA8w0EBfpmNDCiGEEKKCqapK1sJ0rPss4AA0kL81l6Cx4WhCpXEvhLh5edzyUVWVMWPGMHfuXPLy8pzLDQYDQ4cOZcaMGWUaoBDXoqoqyy7lssdipXD81Z8tVoaEmWhs8KvQ2IQQQghRdmyH8rHutUDhTGp2UHNVLGuzCegRUqGxCSFERfK4YT916lTefvttRo8ezVNPPUVkZCRnz55l1apVzJw5k9DQUMaNG+eLWIUoUardwW6L1WWZCnyebWGUNOyFEEKIKsORYQctUHT6cgfYz/t2fnYhyorMNy98xeOG/fvvv8/EiRP5+9//7lwWGRnJnXfeicFgYMGCBdKwF+Uqy+4ocXmmm+VCCCGEqJy0NXRw5fToWtDWlNvvhBA3N49rwTNnztCqVasS17Vs2ZKpU6ded1BCeCJKp0VDwa12hbRAXT/5kBdCCCGqEl0jPYbWAeRtywUNoIImVIt/J7kKKiqHrKwsnxxXegIIjac7xMTE8PXXX5e4bu3atcTExFxvTEJ4JFir4ZmQADQU/FKlAUK1Gp4KNlZwZEIIIYQoa6anQ4l6qS7GvwVhfDyYoHHV0Zg8/korhBBViseXNEeMGMHAgQNJS0sjISGByMhIzp07x+rVq/noo4947733PA5i3rx5/Pjjj5jNZoKCgujYsSNPPvkkAMePH2fu3LkcO3aMyMhIBgwYQNOmTZ37btu2jaVLl5Kenk6TJk0YOnQoNWrU8DgGUbndbdRT10/LsXwbBo1CrN4Pg0ap6LCEEEIIUcYURSHwr8FYG9qx26/sly+EEDcnjxv2iYmJ5OfnM2XKFFauXImiKKiqSkREBHPmzGHAgAEeB9G1a1eef/55DAYDaWlpTJ48mVq1anHvvfcyZcoUOnbsyLRp09ixYwfTpk0jKSmJ0NBQTpw4wZw5cxg3bhyxsbEsX76cmTNn8uabb3ocg6j8onRaonQy1Y0QQgghhBDi5uJVv6UhQ4aQmprKvn372LJlC/v37+fMmTMMHjzYqyDq1q2LwWBwPlcUhdOnT/Prr7+Sl5dHQkICfn5+tGnThrp167Jt2zYANm3aRPPmzbnrrrswGAz06NGD5ORkUlJSvIpDCCGEEEIIIYSobLy+IUmj0RAbG8t9993HbbfdhkZzffc2LV26lCeeeIL+/ftjsVj4f/buPL6pKv//+OsmTdM0XaGFsrUFRRAHcUcWWRzFhUFEEFwRcRQVxwV/oMzoiAOOyjjjBiOKuKEIo6iIjLugwOCOgnxRVKDsQmlL2yRt0uT+/qiNhLbQlKZtwvv5ePRBc+/NvZ9Pb/Mp595zzxk4cCBbtmwhNzc3ZN+dOnUiLy8PqOym37Fjx+C6xMREsrKygutFRERERESk7p577jlOP/30iOx71qxZDBgwICL7PtLVqSv+3/72t7B2uv9UeHV11VVXMXr0aH766Sc+/fRTnE4nHo8Hp9MZsp3T6WT37t0AlJWV1bje4/GEfXwREREREZFYMmDAAD799FPi4uKw2+2ceuqpPProo3Tp0qWpQ5MGVqeG/cMPPxzy2uv1BhvPCQkJlJWVAeBwOLDb7fVq2ENlF/zOnTvz1Vdf8fLLL5ORkYHL5QrZxuVy4XA4gsd2u90h691ud3B9lfz8fPLz84Ov7XY76enpWK2Rfx7bMIyIH6dq/8onfI2RT1WPE4vFEvFj6fzUT6zlpHzqTzUhfLF2fiD2clI+9RdLNUHn5sj1yCOPcP3111NaWsq1117LmDFjWLVqVVOHJQ2sTg37wsLC4PdffvklI0eO5O6772bEiBEkJydTUlLCK6+8wrRp01iwYMFhBxUIBNi5cycnnXQSCxcuJBAIBIvepk2b6NevHwA5OTls3Lgx+D6Px8OuXbvIyckJ2d/ChQuZPXt28PW1117LuHHjSElJOexY6yI+Pr5RjqN86qeh8zFNk//u3cc7e4vwmSa5rsoLX8nJyaSnpzfosWqi8xO+qlxiKSdQPvUV6Xyq5jBWTagf1YT6Uz71E0s1QecmOvh8JqtWeMjf4ycj00qvvg5stsOf7SkpKYkrrriCUaNGsWHDBsaPH8+XX35JZmYmd9xxB9dcc02N75swYQKvvvoqhYWFdO7cmYcffpj+/fsDMGXKFNauXUuLFi34z3/+Q2ZmJrNmzeKss84CYMuWLVx99dV8/vnnHH/88cF2nDS8sEfFv+mmm5g4cSJXX311cFlycjJjx47F4/Ewfvx4Pv/88zrvr7S0lC+++IKePXuSkJDA999/z9tvv82oUaPo3r078fHxvPbaawwdOpTPPvuMvLw8+vTpA1R2Lbn99tv55ptv6NatG/PmzSM3N5fs7OyQYwwfPjz4ywcEB+orLi6O+DQpTqezWq+Dhma1WklJSVE+9RCJfN4r8bCo2E3g19ef7qvcf3FxcchFskjQ+andwf6zVFxcHJU51SZaz1FtYi2fqv/El5SUqCaESTWhfqL1HNUm1vJprJqgc1O7xrjIWlc+n8kj0wvYvrUiuOzzVR5umdjisBv3xcXFzJ07l+7du/OHP/yBSy65hCVLlrBmzRrOPfdccnJygg3y/Z188sn8+c9/Ji0tjRkzZnDxxRezefNmEhMTAXjrrbeYP38+s2bN4rHHHmPs2LHBwcwvvfRSevTowZIlS1i3bh3nnXce3bp1O6w8pGZhN+y//fbbkAHr9nfUUUfx3XffhR3EBx98wFNPPUUgEKBFixZceOGFDB48GMMwuOuuu5gxYwbz58+nVatWTJ48mbS0NAA6dOjAzTffzMyZMyksLKRLly5MmjSp2v4zMjLIyMgIvq4qmn5/5Oc/NU2z0eZYVT7hi0Q+H5R6go16gKq9F1VUkBWF+dQmWs9PTaqOEUs5gfKpj8bIJxAIBP+NhXyqxMr5AdWEw6F8wtdYNUHnJjqsWuFh+9YK9k9t25YKVq3w0G9gYr32OWHCBCZPnozD4aBnz55Mnz6diy66iHvuuQer1copp5zCH//4R55//vkaG/aXX3558Ptbb72Ve++9l/Xr13PyyScD0KtXL4YNGwZUjps2YcIE8vPzcbvdrFq1iv/+978kJCRw8sknc/nll7N69ep65SEHF3bDPjc3l1mzZnHOOedgGL9dNTJNk3//+9/VusEfSlJSEvfdd99Bj3eween79u1L3759wzqmSCT5TLPG5eWBGheLiIiIiACQv6fmixV78+t/EeNf//oX119/ffD1ggULaN++fcgYBbm5ubX2un7ooYeYM2cOO3bswDAMiouLQ8Yvy8rKCn5fdRe/tLSUXbt2kZqaSmpqanB9Tk6OGvYREnbD/oEHHmDEiBF07tyZIUOG0KpVK3bv3s3ixYvJy8vj1VdfjUScIlGjS7yN78p9wTv1VZe/WsYd3pSQIiIiIhLbMjJrHhCwZUbDDRTYrl07tm3bht/vDzbuN2/eTLt27aptu3z5cu6//36WLl3K7373OywWC+np6Zi13MjaX9u2bdm3b1/w8SYg2EVfGl7YLY2hQ4fyxRdfcMopp7Bo0SL+9re/sWjRIk455RS++OILhg4dGok4RQ4pYJp84i7nqcJSni9ysdFbceg3RcDlqQ462H4rvkm/9myxGoc/6ImIiIiIxK5efR206xCH1Urwq312HL36Og795jrq2bMnaWlpTJ06Fa/Xy9dff82cOXO48sorq21bUlJCXFwcGRkZVFRUcN9991FcXFyn42RnZ3P66afz5z//mfLyclavXs1LL73UYHlIqLDv2AOccMIJzJ8/v6FjETks/yn28D+PlwCVd8m/LPNxY7qTY+22Ro0j0WJhQoskdvsDVJgmgUAqLzdqBCIiIiISjWw2g1sntWDVCg978/20zGi4UfF/O4aNxYsXM378eFq1akVmZib33XcfgwYNqrbtOeecw+DBg+natStOp5PbbruNDh061PlY8+bN4+qrryYjI4Pjjz+esWPHaqq9CKlXw16kuSnwB1jh8QZfV3UOer3E0+gNewCLYZAVV3nXfqfu1IuIiIhIHdlsRr0HyjvQsmXLalzetWtXPvzwwxrXjRkzhjFjxgCVMx0888wzPPPMM8H1+w9WPmXKlJD3JiQkhHTTz83NZenSpfULXsKih34lJhT7ax6Zrth/6Od/REREREREopnu2EtMyIyzYOW3qeUArEB7W8MNNCIiIiLNgy/fy77H9lCR58NINHBckEz8qQ33DLKISLTRHXuJCU6LhStTE7FQebXKCiRZDC5LbZhuTCIiItI8mGUBtk/ZRMXPXig3MQsDuF/Yh29NWVOHJiLSZHTHXmLGKY542tms/OytwG4YHGePI9Gia1ciIiKxxPdjORUFPtj/KTwTyj92Yzs+ocniEhFpSvVu2BcWFvL5559TUFBAixYtOO2000hPT2/I2ETC1ibOSps4db8XERGJVaYPMAx+Gyq3arnG1RGRI1fYDXvTNLnjjjt4/PHHKS8vDy632+3cfPPNPPjggw0aoIiIiIhIlbhO8RhWMA8YWMfW3d5kMYmINLWwG/Z///vfefjhh5k0aRKjRo2idevW/PLLLyxYsIDp06eTlpbG5MmTIxGriIiIiBzhrGlW2kzMYec/8zDLKu/Sx/d0YP+9s4kjEzm05OTkpg5BYlTYDfunn36au+++m7/+9a/BZa1bt+b444/Hbrfz1FNPqWEvRyy/afJ6iYdVHi8BE35nt3FmoOap+ERERKR+Ersnkf5gG3y7vRhOA0uKHsMTkSNb2COL7dy5k969e9e4rlevXuzcufOwgxKJVq+XeFju9lJugg9YU+5jXlFpU4clIiISc4x4A2ubODXqRUSoxx373NxclixZwllnnVVt3X//+19yc3MbIq6ISkysnALN6XRimpEdaCUuLi7iXW4MwwCUT300dD6rftnH/o/8+YGfvJVLHA5HxH92Oj/1o5pQf8onfEVFRYBqQn2oJtRPrJ2jWMunsWqCzk3zUFJSEpH9RuPPQhpW2A372267jRtuuIE9e/YwYsQIWrduze7du3nllVd4+eWXeeKJJyIRZ4Nyu93Y7XZcLhd+v//QbzgMycnJEfsAV7FarcTHxyufX/lMk90VAeINyLBagn9katLQ+QQO8kfM4/FE/GcXDecnHA2Zj91e+6BKqgn1p3zC5/F4gv+qJoRHNaF+ovUc1SbW8mmsmqBzU7uD1QORaBF2w37cuHF4vV6mTp3KvHnzMAwD0zTJzMzk0Ucf5brrrotEnCJ1ssPnZ2ZhKfsClQ3so21WxqUn4bDU3rhvSL+z21hT7gvetbcAra1hP/EiIiIiIiJSZ/VqcfzpT39i165dfPfdd3zyySesW7eOnTt3ctNNNzV0fCJ1VmGazCwspTjw213zTT4/L+9zN8rxA6ZJmzhLyIeqlcXgqvSkRjm+iIiIiIgcmcK+Y1/FYrHQrVu3hoxF5LDk+wPBO/VV/MB6r69Rjr+ktIz3XeVUjYFvAY6yx5Hm16A+IiIiIiISOXVq2P/tb38La6f7T4Un0ljia3mW3naQZ+wbimmafLRfox4gAKz0+Ogd4cFjREREREQa2pYtW+jWrRt79+5tkHEIysrKcDgcbNq0qV4Drp933nmMGDGCa6655rBjOdCdd97Jrl27eO655xp8342lTg37hx9+OOS11+sNDvSRkJBAWVkZUDmap91uV8NemkS6xaBLfBw/eStCnnEfmBj5AVECQEUt63wBNexFREREpHHl5uYya9Yszj333OCyZcuWcckll7Br165Dvj87O5vS0t+mbR4wYACXXHIJ119/fUTiHTNmDFlZWTzwwAMA5OXlcdZZZzF48GAefvhh3n777YgcN1bU6Rn7wsLC4Nf7779P69atmTNnDvv27cPtdrNv3z6efvppWrduzbvvvhvpmEVqZBgG16U5OTnBRpJhkGYxuCA5gbOckW/YWw2DHJs15ANlATKtFhIbaeA+EREREZFY8MMPP3DGGWcwatQoHnnkkYPOciWVwh4876abbmLixIlcffXVwfkSk5OTGTt2LLfffjvjx49v8CBF6spuMRid5uSB1qlMa5XKWc6ERisEY9OctNxvBPwUi8G4dKcKkYiIiIjUmekzcS8toeQ/BbiXlmD6Itf7Mzc3l3/+85+cfPLJpKSkcP7551NYWAjA5s2bMQyDsrIy7rjjDpYvX86tt95KUlISV155JQC7du1i1KhRtG7dmg4dOjBlyhQCgcqHUwOBAJMnTyYzM5Ps7GxeeumlOsX07bff0q9fP8aPH8+0adOCywcMGMCsWbMAeO655zj99NP5y1/+QsuWLWnXrl3I/gsKChg2bBipqakcf/zxPPjggyHd/9esWcOpp55KcnIygwcPDuZc5e2336ZHjx6kpqbSs2dPVq1aFVw3ZswYbrjhBi688EKSkpI48cQT+fnnn5k+fTpZWVm0adOGBQsWhHEWGkbYDftvv/2Wjh071rjuqKOO4rvvvjvsoESiUQurhT9nJDOxZRL/r0USf81MIStOA+eJiIhEghkwKV/qwvV0Ie75+/Dvqu2hOJHoYfpMCqbvomRBAe6PSihZUEDBP3ZFtHH/4osv8vrrr7Njxw6KioqqPYYN8OCDD3LGGWfwyCOPUFpayty5cwkEAlxwwQUcffTR5OXl8dlnn7Fo0SLmzJkDwJw5c3jllVf47LPPWLduHYsXLz5kLF9//TVnnnkm99xzD3fcccdBt/3qq6/Iysril19+4fHHH2fcuHEUFxcDlbO4AWzfvp1Fixbx/PPPB9/n8/kYOnQow4YNo6CggFtuuYW5c+cG1//4448MHz6cv//97+zdu5fx48dz3nnnkZ+fH9xm/vz53HnnnRQWFnLMMcdw9tln4/F42Lp1K4899hjjxo0LPrreWMJu2Fc9q2EeMCCYaZr8+9//Jicnp8GCE4k2NsMgxxZHbnxcrYP5iYiIyOExTZPSOQV43ijB90053v95KHkgH/+2xpkJRyRSPCtKqdjqrZza6devii1ePCtKD/XWervlllvIzs4mKSmJESNG8PXXX9fpfV9++SVbt25l2rRpJCQk0LZtWyZMmMDLL78MwMsvv8wtt9xCp06dSE5O5t577z3kPj/99FPsdjtDhw495Lbt2rXjT3/6E3FxcVx00UVYLBY2bNiA3+/nlVdeYerUqSQlJdGxY0duvPHG4PtWrVqFy+XizjvvxGazMWjQIM4555zg+gULFnDOOecwePBg4uLiGD16NF27dmXRokXBbYYOHcrpp5+OzWZj1KhR7N69m7vuugubzcbFF1+Mx+Ph559/rtPPsaGEPd3dAw88wIgRI+jcuTNDhgyhVatW7N69m8WLF5OXl8err74aiThFRERERAAo3+jB+3XZbwsCgAmeN0tIurFFk8Ulcrj8e2q+OOXPD79His1mw+cL3Z/P58Nms4Usy8rKCn6fmJgYMmDewWzevJk9e/aQnp4eXBYIBOjQoQMAO3bsIDs7O7iuLjeAr7/+enbu3MnAgQNZtmwZbdu2rXXb/ePeP/Y9e/bg8/mCcQAh3+/YsYN27dphsfx2jzsnJ4eioiKg8i7/gaP25+bmsn379hqPnZiYSEZGBlbrbz11HQ5HnX+ODSXshv3QoUP54osveOCBB1i0aBE7d+6kTZs2nHbaabz66quccMIJYe3P5/Mxa9Ysvv32W0pKSsjIyGDkyJH0798fqBwN8fHHH2fz5s20bt2a6667jh49egTfv3LlSp5//nkKCgro2rUrN998M61atQo3LYkxxf4Am3wVxBkGR9niSNAAdiIiIjHDX1hR2e90/3lmTQgU+mt7i0hUsGbaal6eEXazjezsbDZt2hSybOPGjfXuYX3guFHZ2dm0b9+ezZs317h927Zt2bJlS/D1/t/XxmKx8NxzzzF69GjOPPNMli1bVq0BfyiZmZnYbDa2bt1KamoqAFu3bg2Ja/v27QQCgWDjfsuWLaSkpACVPQG++uqrkH1u3ryZs88+O6w4GlvYXfEBTjjhBObPn8/GjRvxeDxs3LiR+fPnh92oB/D7/bRo0YJp06Yxf/58xo8fzxNPPMH3339PRUUFU6dO5bTTTuPll1/mkksu4f777w9eTdm6dSuPPvooN9xwAy+99BK5ublMnz69PilJDPnZW8G9+cXMKXLzZKGLafnF5FfoD72IiEissLWzhzbqAaxgbV9zo0gkWjj6JhHXIR6sBL/isuNx9E0Ke1+XX345jz76KN999x2mabJ+/Xr+9a9/cdlll9UrttatW4d0Lz/11FPJzMxk6tSpuFwuAoEAP/74Ix9//DEAo0aN4rHHHmPTpk2UlJQwZcqUOh3HarXywgsvcNJJJzFw4EB++eWXsOK0Wq0MHz6ce+65h9LSUvLy8njiiSeC63v16oXD4WD69On4fD4++OAD3nnnneD6kSNH8u677/L2229TUVHBiy++yPfff1+nxwOaUr0a9g0pISGByy+/nKysLAzDoFu3bhx77LGsX7+etWvXUl5ezogRI7DZbJxxxhlkZ2ezcuVKoHIexpNOOokTTzwRu93OZZddxqZNm+p0NUhik980earQRblZ+fc+ABQHTJ7f527q0ERERKSBxLex4xieAgZgA6xgSbPiuCi5qUMTOSyGzaDFpCySR7Ug8fcpJI9qQYuJWRi28HufXn311YwfP57hw4eTkpLC0KFDGTt2bL3nob/lllt48803SU9P56qrrsJqtbJ48WJ+/PFHOnfuTHp6OiNHjmTnzp0A/PGPf2TYsGGcdtppdOvWjcGDB9f5WFarlblz59KjRw/OPPNMdu/eHVasM2bMoKKignbt2jFkyBAuvfRS7PbKKbBtNhuLFi3i1VdfJT09nYcffjg4yj/AMcccw3/+8x/uuOMOWrZsyaOPPsqSJUvIyMgIK4bGFnafjjPPPPOQ23z00Uf1CgagrKyMn376iSFDhrBlyxZyc3NDnn/o1KkTeXl5QGU3/c6dOwfXJSYmkpWVRV5eXsjzHHLkKPQHcB0wsGMA2OrTHXsREZFYknhWMtaOcfg3+zAcFmw97BgJTX7PSuSwGTaDxIGHf5HKMAwmTJjAhAkTat3mwG70119/fbDhn5ubGzJgeq9evfjhhx9Cts/KyuKFF16ocd9Wq5Xp06eH9Ki+5pprao3lueeeq/b++fPnB18vW7Ys+P2YMWMYM2ZMyPa7du0Kft+yZcuQwe4efvjhkOfsTzjhBL788staY/nDH/7AH/7whzrFee6551b7OVb1MG9MYVe/lJQUUlNTQ74CgQBffvklP/30E2lpafUOJhAI8Mgjj9C5c2dOPPFEPB4PTqczZBun0xmcOqCsrOyg6+XIk1jLs/QOPWMvIiISc+Jy47EPcBLf06FGvYgE/fDDD6xevRrTNFm7di2PPvooF110UVOHFVFh37F/4403alyen5/PBRdcwCWXXFKvQKqmyysoKODee+/FMAwcDgculytkO5fLhcPhACq78bvdoV2s3W53cP3+se0/76Ddbic9PT1k5MJIMQwj4sep2r/ygWSrlQFOO5+4yoOP3hnABSmJNe6vMfKp6nFisVgifqzmfn7C1Rj5QOzlpHzqTzUhfLF2fiD2clI+9RdLNUHnRo4kLpeLSy65hG3bttGyZUuuuOIKrrvuuqYOK6LCH16xFhkZGUyaNIlJkyYxcuTIsN5rmiazZs1i06ZNTJ06Ndgwz87OZuHChSEjFm7atIl+/foBldMSbNy4Mbgfj8fDrl27qo30uHDhQmbPnh18fe211zJu3LjgyIeRFh8f3yjHUT6VrktLo31+EZ8Xu4gz4OyWqfRKrb07U6TzKSkpASA5OTlkOpBIae7nJ1yNkU9VLrGUEyif+lJNqJ9YOT+gmnC4lE94GrMm6NzIkeKkk05iw4YNTR1Go2qwhj1UjnC//7MNdfXkk0/yww8/MG3aNBITE4PLu3fvTnx8PK+99hpDhw7ls88+Iy8vjz59+gAwYMAAbr/9dr755hu6devGvHnzyM3NrfZ8/fDhw4PT5wHBgROKi4vx+yP77LXT6azW66ChWa1WUlJSlM9++sRBnxa/PqYRqKCwsLDG7Rojn6o/2CUlJbXG0VCi5fzUVUPmc7D/LBUXF0dlTrWJ1nNUm1jLRzWh/lQT6idaz1FtYi2fxqoJOje1a4yLrCKRFnbD/uuvv662zOv1sn79eu69915OO+20sPa3e/du/vvf/2Kz2Rg7dmxw+YgRIxg5ciR33XUXM2bMYP78+bRq1YrJkycHn+Pv0KEDN998MzNnzqSwsJAuXbowyGYD1wAAIABJREFUadKkasfIyMgIGcWwqmj6/f6IFx3TNCN+jCrKJ3yNkU8gEAj+Gwv5VImV8wMEjxFLOYHyqQ/VhPqLlfMDqgmHQ/mEr7Fqgs6NSGwLu2F/yimnYBihA5FVjZbYs2fPkC7vddGqVSvefPPNWtfn5uby0EMP1bq+b9++9O3bN6xjSuwzTZPlHi9febxYgN6Jdk51qLuWiIiIiIjEnrAb9kuXLq22LCEhgfbt29OuXbsGCUrkcC0uLeOD/QbQ+2mfG1fAZIDTHpHjBUyTZe5yPvN4AejpiGdAoh2LodH4RUREIsn0mwSK/BgJFixOjYwvzVty8uFPYydSk7Ab9vs/qy7SHPlMk/dd5ew/m70JvFXqiVjD/q0DLiS8UVJGacDkgmTHQd8nIiIi9Vex1YfriULM4sq/wLaeCSReloph1YV1ETmy1Puy5jvvvMPUqVO57rrr2LJlCwCffPIJO3bsaLDgROrDEzBDGvVVys3KO+sNLWCafLhfox4gAJXLInA8ERERgYAngGtGAWbJb3+BfV+WUfbf0iaMSkSkaYTdsN+zZw99+vRh8ODBzJkzhzlz5gTniH/mmWe47777GjxIkXAkWQySLQb7X6u3AG3iLBHpGu8zoaahW/xARYMfTURERAD8W32YLpOQq/l+8K0ua7KYRESaStgN+1tvvZU9e/bw3Xff8dNPPwUHzgM466yz+PDDDxs0QJFwWQyDcWlO7AZYqfwld1oMxqY5I3I8u8WgtdUS8mGyAK2tFuL1jL2IiEhk1PZAaZz+9orIkSfsZ+yXLFnC7NmzOfbYY6tNMdGhQwe2bdvWYMGJ1FdufBz3ZKSw0VeBgcHR8VYSLZEbUOfadCePF5RSHKi80JVsMbg2PTIXEkRERATiOsRjaWUlsNf/W9c5C9jPSGzSuEREmkLYDfuKigqczpobLIWFhcTHa0oxaR6SrRbKvfCFp5zlbjjNER+xKe+y4qz8NSOFPF9l5/scWxx2i+4YiIiIRIphM0i6uQWu54vwb/JhxBvYz0kivq8GrhWRI0/YDfuePXvyzDPPcP7551dbN3/+fPr06dMggYkcrg9cZSwqKQs+eve9t4LSQICBzoSIHM9uMTjGbovIvkVERKQ6S5qV5FtaNnUYIiJNLuyG/bRp0xg4cCD9+vVjxIgRGIbBG2+8wf3338+SJUtYsWJFJOIUCUvANFm8X6MeKsfWebOkjAGJdgw9+y4iIiIiIjEi7IeOe/XqxdKlSzEMg9tvvx3TNLnvvvvYuXMnH374ISeddFIk4hQJS3ktI9X7fv1qaD95K3it2MMbJZ5gd3wREREREZHGEPYde6hs3H/88cd4PB4KCwtJS0sjMVEDlUjz4bAYpFkM9u03p70BtIjASPWfe7zM3efG+PUYH7nKuTbNSfcEdcsXEREREZHIO6xhwh0OB23btgWoNvWdSFO7Nv23Ke+sQIIBf0xr2AtQftNk3j43JhCgspdAAJhX7G7Q44iIiEjtKn70UvZ2KWUfuggU1dRnT0QktoXdsH/ooYe49957g6+XL19Ou3bt6NKlC507d+bnn39u0ABF6ivHFscdLZNpF2fBD3hMeKOkDFcg0GDHcAVMaup4XxIw8etCl4iISMSVL3VR+mgBZe+WUra4hJL78vHv0mNxInJkCbsr/tNPP83EiRODrydMmMBxxx3HnXfeybRp0/jzn//MggULGjTIhlb12IDT6Yx4L4O4uDiSk5MjeoyqgeCUT3XP7cxne8VvDfmfvBU8X1LOHe1bAYefj9M0seeXUH5AnOlWK2kpKQAUFRUBlT1cIv2zi7bzcyiNkQ+oJhwO5RM+1YT6U02on1g7R/vnU1Hoo+i1XZUrfm3LmwET76suWk1uf9jHiqWaoN81kdgWdsN+69atHH300QBs376dr776io8//pgzzjiDiooKbrjhhgYPsqG53W7sdjsulwu/P7LdtZKTkykpKYnoMaxWK/Hx8crnAAHT5OtSD/vfn/cD/+cpJ39fMXaLcdj5eAImbeIsbPZVxln1nP3lKQnB/Xo8nuC/kf7ZRdP5qYuGzMdut9e6TjWh/pRP+FQT6k81oX6i9RzVZv98yjd74MD2YwC8O8obJI5Yqgn6XavdweqBSLQIuyu+w+GguLgYgA8//JCkpCR69+4NQFpaGvv27WvYCEWaKdM0mVPkYqsv9A/XKQk2umo+exERkYizpFurLzTA0qKG5SIiMSzsO/annXYaDzzwABaLhX/84x+cd955WK2VxfPnn3+mXbt2DR6kSH1YDIMedhtryn3Bqe8sQEebFbvl8EfGLw2YfO8NfYbPBL4tj8SEeiIiInIgSwsr9nOclL/n+nVB5ZdjZEqTxiUi0tjCvmP/j3/8g507dzJkyBBKS0u57777gusWLFgQvHsv0hxckZpI5/jfrl8FgDyfnx8aoPFdWwezgMbMExERaTSOIckkjk0j/oxE7AOdJN+ZQVy2es6JyJEl7Dv2xx13HBs3bmTv3r20bNkyZN0///lPsrKyGiw4kcNltxgUHzAKfgXwdJGbB1od3tX8FItBG6uFX/yB4HP8VuB36oYvIiLSqOJPTCD+xISmDkNEpMnU+Y79//3f/3HzzTczZMgQrr/+elavXl1tm+7du5OZmdmgAYocDtM02VVRfXo7j2my7zBvrVsMgxtaJNHa+tvHqHN8HJelJh7WfkVERKR+TJ+J6VfXORE58tTpjv2KFSs466yz8Pl8ZGZm8s477zB79mxmzpzJ9ddfH+kYRerNMAwSDYPSGqZccRqH/5x9C6uFyRnJFAdMrAYkGUZwqhcRERFpHIFCP66ni/Dn+cCA+D4OHBenYFj1N1lEjgx1umN/zz330LVrVzZv3syuXbvYu3cvF154IXfddVek4xM5bMNSHDUu/8Rd3iD7txgGaVYLyRaLGvUiIiKNzPSblM4swL/11/FzTPCu8uB5M7JTu4mINCd1ativXbuWv/71r3To0AGAlJQU/vnPf1JQUMDWrVsjGqDI4erpiCelhlHw3ywtw+2v3k3/YHymyeISD//cW8ITBaX8dMCo+CIiItK4Anv8BHb5Yf8/6X7wfV7WZDGJiDS2OjXs8/Pzad++fciyqkZ+fn5+w0cl0sA8NTxPbwJF/trGtq8uYJo8VejiA1c5m3x+1nkreLSglA2a3k5ERERERJpQnQfPUxdjiWaZcRZq+g3eEEZ3/K0VftZ7K0KmuTOBt0p1R0BERKSpWDKtWLKsof+rtYLtVI2SLyJHjjo37AcOHEhKSkrwKz09HYAzzjgjZHlqamrEghWprytrGan+hT2FuAN1647vCpg1XhzY6PMz4ZciXi92469hkD4RERGJHMNqkDS+Bdb2v44JbUB8TweOC5KbNjARkUZUp1Hx77nnnogF8NZbb/HRRx+xefNmevXqxcSJE4Pr8vLyePzxx9m8eTOtW7fmuuuuo0ePHsH1K1eu5Pnnn6egoICuXbty880306pVq4jFKtGrgy0OO3DgvXU/sN0XoLP90Ne42sZZMai8S38grwnL3F6shsEFyTUP1iciIiKRYUm3kjwpg0CJH/+eCgybhRqvxouIxKgmb9i3aNGCkSNH8s0331BS8tvopRUVFUydOpVBgwZx//338+mnn3L//fcza9Ys0tLS2Lp1K48++iiTJ0+mW7duzJ07l+nTp/PQQw9FLFaJbulWCztrGCzvjRI3t8cnY/n1cZOAabK23Ee+P0Cm1crv7HHBke9Hpyby/D53jY17P7DS7VXDXkREpAlUbPPhmlGAWVr5V9rSPo6k8S2wJNe5g6qISNRq8krXu3dvTj/9dFJSUkKWr127lvLyckaMGIHNZuOMM84gOzublStXArBs2TJOOukkTjzxROx2O5dddhmbNm1iy5YtTZGGRIGLa5n2Lq8iwA5f5ZPzAdPkqSIXc4rcvFVSxtNFLmYXuQj82sU+x2atsVFfJXDQtSIiIhIJpt/E9UQhpuu3v8OBnRW4XyxqwqhERBpPkzfsa7NlyxZyc3OxWH4LsVOnTuTl5QGV3fQ7duwYXJeYmEhWVlZwvciBjrHbSKqlW96iUg+mafKZx8v68goCgI/KmXPWlVfwuccLwL4aRtevYgF6JNgaOmwRERE5hECBH3NfIPR5OT9U/KiZa0TkyFCnrvhNwePx4HQ6Q5Y5nU52794NQFlZWY3rPR5PtX3l5+eHTMtnt9tJT0/HarVGIPJQhmFE/DhV+1c+h3a8w87/ahgJf73Xz/e+ALtqaLgbwK6AidVqpXW8Uetz9mkWg0vSkrFaQq8eVF2cslgsEf/ZRfv5OVBj5AOxl5Pyqb/GyEc1of5UE+rnSMjHqHmMXIz4w4snlmqCftdEYluzbdg7HA5cLlfIMpfLhcNR2Z06ISEBt9sdst7tdgfX72/hwoXMnj07+Praa69l3Lhx1br/R0p8fHyjHEf5HNp1Kal88f1GfDW0zJ8pKuX4pMRqjXbDgDZJSaSnp5EODK0weSO/etc+v8VCVssW1ZZXjR2RnJwcnE0ikqL5/NSkMfKpyiWWcgLlU1+Rzkc14fCoJtRfTOeTDt6eblxfFhOcl9YCLS5sddifs1iqCfpdE4ldzbZhn52dzcKFCwkEAsErmZs2baJfv34A5OTksHHjxuD2Ho+HXbt2kZOTU21fw4cPp3///sHXdrsdgOLiYvx+f7XtG5LT6ax2gaKhWa1WUlJSlE8dHRdv45vy6l3zPAGTz4qr51Zhwv/2FtKNCtKsVo63mLxRw34tpklhYWG15VV/sEtKSmpc35Bi4fzsryHzOdh/loqLi6Myp9pE6zmqTazlo5pQf6oJ9ROt56g2teVjvzyJCocf72duTJ+JkWzB4/dgFhRgGPUbIj+WaoJ+12rXGBdZRSKtyRv2fr8fv99PIBAgEAjg9XqxWCx0796d+Ph4XnvtNYYOHcpnn31GXl4effr0AWDAgAHcfvvtfPPNN3Tr1o158+aRm5tLdnZ2tWNkZGSQkZERfF1VNKuOHUmmaUb8GFWUT91cnOJg7R4f4ez5Z5+fe3cVcXdmChkWg5w4K9sq/PvfFKCfI77GeAOBQPBfnZ/wNFY+VceIpZxA+dRHY+SjmlB/qgmHJ+bzsYDpD2CWmxAAszCAe8E+AmUBEn7vrH1HBxFLNUG/ayKxrckb9gsWLGD+/PnB1ytXruTMM8/k1ltv5a677mLGjBnMnz+fVq1aMXnyZNLS0gDo0KEDN998MzNnzqSwsJAuXbowadKkpkpDokiq1cK5TjtLXNWftT+YMuCve4ppZTU4JymBL8t8bCivwGYYDEyM5/dOe2QCFhERkUMyywJ4lx8w1lIAyt4prXfDXkQkWjR5w/6yyy7jsssuq3Fdbm7uQeel79u3L3379o1UaBLDzklK4IsyL7v94U1P5wd2+k2e2+ehZ4KNf7ZOrXf3PhEREWk4Zlktf9PLTUzT1N9rEYlpzXa6O5FIshgGN6YnHdYH4LMyHyt+nQZPREREmpaRYsFItVROZxNcCJa2cWrUi0jMU8NejlgZcVYmtM049IYH8Zka9iIiIs2CYTFwXp8O9v0a8SYEdlVQ8bP+XotIbFPDXo5o3Z0Oxqc72X8WVAPIslq4KiWhqcISERGRerC2jwPjgC75FeB6tvo0tSIisaTJn7EXaWrH2m1MzUzhI3c5+/wB2tmsDEi0E2cYuEx4taSsxvcZwGkOzZ8qIiLSXJhuEzw1LC8KYFaYGHHqki8isUkNexEgxWrhwmRHteUDnAn8zm5jqbucHV4/eRV+vFR2dTnHaecMNexFRESaDcNhVP7vtuKAFfofr4jEOJU5kUPIiLNycUpi8HVZwCTeqByAT0RERJoPw2LgGJGCZ35x6Ao/eBYUk3h5atMEJiISYXrGXiRMCRZDjXoREZFmKr63I3RkfAATvJ96MCvCm+ZWRCRaqGEvIiIiIrHDD9TUfjfBdPsbOxoRkUahhr2IiIiIxAzDZmDNtVW/aw+455c0fkAiIo1ADXsRERERiSmJ16TWeNe+Yk05pifQ+AGJiESYGvYiIiIiElMsqdYa79gDeL+sYT48EZEop4a9iIiIiMQUw2IQ163mKWk9r5RgejWInojEliNyurvExMqpy5xOJ6YZ2cIeFxdHcnJyRI9h/DpCu/IJX2PkU1RUBIDD4Yj4sXR+6kc1of6UT/hUE+pPNaF+Yu0c1TWfxBsT2TF+Y/UVATBX+EgZ2vKQx4qlmtCczk1DaKx6IBItjsiGvdvtxm6343K58PsjOzpqcnIyJSWRHajFarUSHx+vfOqhMfLxeDzBfyN9LJ2f2tnt9lrXqSbUn/IJn2pC/akm1E+0nqPahJOP0cKCWVD9mfri1wrgJAuWtIP/VziWakJzOzeHq7HqgUi0UFd8EREREYlJiZem1rqu9N+FEb+rLCLSWNSwFxEREZGYZDvWjpFhrXFdYIefsrc0/Z2IxAY17EVEREQkZjmvrP2uffm7bso/0yj5IhL91LAXERERkZgVd1Q8ccfVPEI+gGfuPsqXuxoxIhGRhqeGvYiIiIjENOeYNDjI+GieBSW4ni/SM/ciErXUsBcRERGRmGY4LDhvSD/oNr4vytg38Re8P5Y1UlQiIg1HDXsRERERiXm2o+0kXJB08I3KwP1oEUV3/4J3fXmtm5kBU3f3RaRZOSLnsRcRERGRI0/CoCQC+wJ4P3YffMNCE/fMQtyzCrEeZ8MxOBlrGxvlH7go+8gFpSYYQJKBtWMc9j5ObN3sGIbRKHmIiBxIDXsREREROWIkXpyCkWhQ/nYdBszzg3+Nj9I1BdXXmUCJiX+ND/eaIixtrCTd1hJLogXTa1LxoxfTaxKXY8PSouYp90REGooa9iIiIiJyRHEMTsaabcM9uwgCDbPPwE4/xVP3kHBRMuVLSjH3BoIPvTqvScN2fMJB31/81F4cJRYsSRYcw5OxdT/49iIi+9Mz9iIiIiJyxInvnkDy3zOxtGvA+1wlJmXPF2PmByrv6Psrv1yzi/Bv9wLg3+6j9LEC9v11DyWP7cW7pfJZfv8WH5SZBPL9uJ4souzdEgIuf8PFJiIxLerv2JeWljJz5ky+/vprHA4Hw4YNY+jQoU0dloiIiIg0c9YkKymTM/Cu8eCeuw88ETqQCSX3V+/O7y/w41pdWPnigJ4DZYtdlC12QSJY2sRhcVgwUqzYezqIOyo+uF2gNIDv2zICRX7MMhMj2cDa2obtd3YMq575FzlSRH3D/sknn8Tn8/Hss8+ye/du7r77btq3b8/JJ5/c1KGJiIiISBSIP96BbXoCvjXleF4rruxG31y4IfBzRbDd7/ufB0t2HEaSBcNmUPGDF8rNyh4C+6sa3C/div1sJ+YZh5gRQESiWlQ37MvKyli5ciUPP/wwiYmJ5ObmMmjQIN5//3017EVERESkzgzDIL5HAvE9EgiU+il7pxTfl+WYpTU38i1HxRHYWFG9Qd0IAlsqDr1R1eB+JRW45+yDHwLYRiVq5H6RGBXVDfvt27djmiY5OTnBZR07dmTVqlVNGJWIiIiIRDNLkpXEEakkX51M8d5ivN948H5ZhlkSwNImDsfvnVjb2fDvrqBk+l4oa/5z2rtXluDsHoftOHtThyIiERDVDfuysjISExNDljmdTjye0Aek8vPzyc/PD7622+2kp6djtUZ+6hHDMCJ+nKr9K5/wNUY+Fosl+G+kj6XzUz+xlpPyqT/VhPDF2vmB2MtJ+dSfYRjEOeKI65VMYq/k6rG0sZL+QBbuN/dR/pkHXM24gW+AudOP9fjI/dxi7XdNJJpEdcM+ISGhWiPe7XbjcDhCli1cuJDZs2cHX1977bWMGzeOlJSURokzPj7+0Bs1AOVTP5HOp6SkBIDk5GTS09MjeizQ+amPqlxiKSdQPvWlmlA/sXJ+QDXhcB2J+bS8riVcB363H/e3pfh2lGPLiqd8RzlFi/PB2zwa/Eltk0lphLrTnM6NyJEiqhv27dq1A2DLli1kZ2cDsGnTpuD3VYYPH07//v2Dr+32yi5IxcXF+P2RnUbE6XTicrkiegyr1UpKSoryqYfGyKfqP/ElJSUUFhZG9Fg6P7U7WAOquLg4KnOqTbSeo9rEWj6qCfWnmlA/0XqOatPs8+kKRlcbFZhYu8XT8qy2BPb58f5Ujm99GYF9ASwpFuynOvBt8GL91AZA/KkOkga2wKgAI9lCoMRP2ceuysHx9r8uYPDba2vl95ZMK4E9/moj6+//Hlu7eCq6mhGtO83+3NSiMS6yikRaVDfsExIS6NOnD3PnzuW2225jz549vPfee9xyyy0h22VkZJCRkRF8XVXQ/H5/xIuOaZoRP0YV5RO+xsgnEAgE/42FfKrEyvkBgseIpZxA+dSHakL9xcr5AdWEw6F8apEEthPs2E4Ifb7d2jmelJNawixwDkslrs1vd6AtxJHU3U6gNIB/qw/DZkCigX+Dl4A7ABhYEg3iutqxZsUF4zUMo7K+rPdSvtyN6TWJ6xRPxrAsXD4XNMLpiapzIxIjorphDzBu3DhmzJjBmDFjcDgcDB8+XCPii4iIiEhMsCRZsBz72wWBuLa2WretGvHeYrFgOS4B23EJv+0nwQK+yMUpIk0r6hv2SUlJ3HnnnU0dhoiIiIiIiEiTsDR1ACIiIiIiIiJSf4Zpms1jmM5GlJ+fz8KFCxk+fHjIs/fRSvk0b8qn+Yu1nJRP86Z8mr9Yy0n5NG+xlE8s5SISbY7IO/b5+fnMnj07ZG77aKZ8mjfl0/zFWk7Kp3lTPs1frOWkfJq3WMonlnIRiTZHZMNeREREREREJFaoYS8iIiIiIiISxaxTpkyZ0tRBNAWHw8Epp5xCYmJiU4fSIJRP86Z8mr9Yy0n5NG/Kp/mLtZyUT/MWS/nEUi4i0eSIHDxPREREREREJFaoK76IiIiIiIhIFFPDXkRERERERCSKxTV1AJG2Zs0aFixYwM8//0x8fDwvvPBCyPpHHnmETz75hLi4334UM2fOJDMzE4A9e/bw+OOPs379elJTUxk9ejT9+vVr1Bz2d6h8SktLmTlzJl9//TUOh4Nhw4YxdOjQ4Pq8vDwef/xxNm/eTOvWrbnuuuvo0aNHY6dRqw8//JDHH3+c+Pj44LIbb7yRAQMGAODz+Zg9ezbLly/HYrEwaNAgRo8ejWEYTRTxwR3qfDRn0fbZqCvVhOipCbFWD0A1oblRPYieegCxVxOiuR5A9H0+RGJdzDfsExISOOuss+jfvz8vvvhijdsMHTqUq666qsZ1Dz30ELm5ufzlL39hw4YNTJs2jZycHHJyciIZdq0Olc+TTz6Jz+fj2WefZffu3dx99920b9+ek08+mYqKCqZOncqgQYO4//77+fTTT7n//vuZNWsWaWlpTZBNzY4++mgeeuihGtdV/YfliSeewOfz8de//pXMzEzOP//8Ro6ybg52PqJBNH026ko1IbpqQizVA1BNaG5UD6KrHkBs1YRorwcQXZ8PkVgX813xjznmGAYOHEibNm3Cfu+OHTvYsGEDV155JXa7ne7du3Paaafx0UcfRSDSujlYPmVlZaxcuZIrr7ySxMREcnNzGTRoEO+//z4Aa9eupby8nBEjRmCz2TjjjDPIzs5m5cqVjZ1GvX3wwQdccsklpKWlkZmZyYUXXsgHH3zQ1GHV6FDnI5o1x89GXakmxE5NiKZ6AKoJzZHqQezUA4iumhDL9QCa5+dDJNbF/B37unj33Xd59913ycjIYMiQIZx99tlAZZe0zMxMkpKSgtt27NiRNWvWNFWoB7V9+3ZM0wy5EtqxY0dWrVoFwJYtW8jNzcVi+e16TqdOncjLy2v0WA9m8+bNXHHFFSQmJtK7d28uvfRS7HY7paWlFBQU0LFjx+C2nTp1YsuWLU0Ybe0OdT6iQax8NsIVK3nHQk2IlXoAqgnRKlZyjoV6ALFTE2KhHkDsfD5EYsER37AfMmQIY8eOxel0sm7dOh588EGcTie9e/emrKwspCABOJ1OPB5PE0V7cGVlZdXmDN0/Xo/Hg9PprLZ+9+7djRbjoRx33HHMmDGDVq1asWPHDh555BGee+45xo0bF8xj/xycTiderxe/34/Vam2qsGt0qPPR3MXSZyMcsZR3tNeEWKoHoJoQjWIp52ivBxBbNSHa6wHE1udDJBZEdcP+gQce4H//+1+t6998881D7uOoo44Kfn/88cczePBgVq5cSe/evUlISMDlcoVs73a7cTgc9Q/6IA43n4SEhGoFc/94HQ5HtXxcLlfE8jlQXfLLysoKvm7fvj2jR4/moYceYty4ccE498/J5XIRHx/f7P5gw6HPR3PXnD4bdaWaEKo514QjrR6AakJjUz0I1ZzrARx5NSHa6wE0r8+HiER5w/7OO+9s8H0ahoFpmgDk5OSwZ88eSktLg1cdN27cGLFBPw43n3bt2gGV3emys7MB2LRpU/D77OxsFi5cSCAQCHa127RpU6ONUFqf/CwWS/B8JCUl0aJFCzZu3EjLli2B0Pyam0Odj2jTlJ+NulJNCNWca8KRVg9ANaGxqR6Eas71AI68mhBr9QCaf00QiXUxP3heIBDA6/VSUVEBgNfrxefzBdevWLECt9tNIBDg//7v/1iyZAmnn346AG3btuXoo4/mxRdfpLy8nO+++47PP/+cM888s0lygYPnk5CQQJ8+fZg7dy5ut5u8vDzee++94PNO3bt3Jz4+ntdeew2fz8eKFSvIy8ujT58+TZbPgb766isKCgoA2LVrF88//zy9evUKrv/973/PggUL2LdvH3v27OGNN97grLPOaqpwD+pQ56O5i7bPRl2pJkRPTYilegCqCc2R6kH01AOIrZoQ7fUAou/zIRLrDLPq0lqMWrt2LX/5y19ClrVq1Yqnn34aqLxCnJeXRyAQCA78ce655wa33bNnD4899hjr168nLS2NK6+8kv79+zdqDvs7VD7FsxPTAAANt0lEQVSlpaXMmDEjOCfqRRddFDIn6ubNm5kxYwabN2+mVatWjBs3rlnNUfvss8+ydOlSPB4PKSkp9O7dm8svv5yEhASgco7ap556ihUrVkTNHLUHOx/NWbR9NupKNSF6akKs1QNQTWhuVA+ipx5A7NWEaK4HEH2fD5FYF/MNexEREREREZFYFvNd8UVERERERERimRr2IiIiIiIiIlFMDXsRERERERGRKKaGvYiIiIiIiEgUU8NeREREREREJIqpYS8iIiIiIiISxdSwFxEREREREYliatiLiIiIiIiIRDE17EVEmpEpU6ZgGAaGYWCxWEhNTaV79+7cdNNNrF+/vqnDC8uYMWP43e9+19RhhMjNzeWmm25q8P0OGDCAP/zhD2G/74033sAwDDZv3tzgMYmIiMiRI66pAxARkVAOh4OPPvoIgJKSEtauXctTTz3F7NmzmTNnDldccUUTR1g3d999Ny6Xq6nDEBEREYl5atiLiDQzFouF008/Pfj67LPP5sYbb2Tw4MFcc8019O7dm06dOjVhhHVz1FFHNXUIIiIiIkcEdcUXEYkCCQkJPP7443i9Xp5++ung8hdeeIG+ffvSokUL0tPTGTBgAJ9//nlw/dq1azEMg/fffz9kf36/n3bt2jFp0iQAtm3bxsiRI2ndujUJCQl07NiR22677aAxrVu3jvPPP5+WLVuSmJhIly5dmD59enD9gV3xn3vuOQzDYPXq1Zx33nk4nU46d+7MCy+8UG3fS5YsoU+fPiQmJgbzWr16dXB9UVERN954I23atMFut3PyySfz3nvv1fGnGeq1117jhBNOICEhgbZt2zJhwgTKyspCtikqKuJPf/oT7du3x26307FjRyZPnlzrPj0eD4MHD6ZTp05s3LgRAJ/Px6233kqLFi1ITU3lmmuuobS0tNp7CwoKGDt2LBkZGTgcDnr37s0nn3wSXD937lzsdjsejye4rHv37sTFxVFcXBxc1qtXL8aPHw/AsmXLgr8Hl112GcnJyeTk5IScLxEREYleatiLiESJbt260a5dO1atWhVctnnzZkaPHs0rr7zCvHnzyM7Opl+/fmzYsAGobPD17NmTZ555JmRf77zzDjt27GDs2LEAjB49mjVr1vDYY4/xzjvvcO+99+L3+w8az5AhQygsLGTOnDksWbKE//f//l+dut5ffvnlDBo0iDfeeIMTTzyRMWPGhIwfsGDBAoYMGUKrVq2YN28eL730En369GH79u0AeL1ezj77bN566y3uu+8+3nzzTbp168bgwYNZu3Zt3X6Yv3rzzTcZMWIE3bp144033mDSpEnMmjUr5HGH8vJyzjzzTF566SUmTpzI22+/zZQpU8jPz69xn6WlpZx//vn8/PPPLF++PNi7YvLkyfz73/9m4sSJ/Oc//8Hv93PnnXeGvNfv93PeeeexePFiHnzwQV555RWSkpI4++yz+eqrrwDo168fXq+XTz/9FIC9e/eybt06bDYbK1euBMDtdvPVV1/Rr1+/kP1ff/31HHPMMbz++usMGTKEO+64g3feeSesn5mIiIg0Q6aIiDQb99xzj+l0Omtdf/rpp5tdu3atcZ3f7zd9Pp/ZpUsXc/LkycHlTz/9tJmQkGAWFBQEl1100UVm7969g6+dTqf52GOP1TnOPXv2mID55ptv1rrNVVddZR533HHB188++6wJmDNnzgwuKy0tNRMTE82pU6eapmmagUDAbN++vXnOOefUut9nnnnGjIuLM9etWxeyvGfPnubFF1980LhzcnLM8ePHB1+feOKJZq9evUK2efLJJ03AXLNmjWmapvnUU0+ZgPm///2v1v3279/fHDx4sFlQUGD27NnT7NGjh/nLL78E1+/du9d0OBzm3XffHfK+fv36mYC5adMm0zRNc9GiRSZgvvPOO8FtvF6vmZ2dbV500UXBZdnZ2eaUKVNM0zTN119/3WzXrp05bNgw84477jBN0zTff/99EzB37NhhmqZpLl261ATMiRMnBvcRCATM3Nxc85prrjnoz0xERESaP92xFxGJIqZpYhhG8PX69esZNmwYrVu3xmq1YrPZ+OGHH4J37AEuueQSbDYb8+bNAyA/P5/FixdzzTXXBLc56aSTeOihh3jiiSf46aefDhlHy5YtycnJYfLkyTz//PNs27atzjkMGjQo+L3T6SQnJyf4/h9++IFt27YFexLU5L333qN79+4cc8wxVFRUBL/OPvtsvvjiizrHUVpayjfffMOIESNClo8aNQqAFStWAPDhhx9y7LHH0qtXr4PuLz8/n4EDBwKwdOlSWrVqFVy3du1aPB4Pw4YNC3nP8OHDQ14vX76clJQUzjnnnOAym83GRRddFIwHKu/aV3XP/+STT+jXrx/9+/fn448/Di47+uijadOmTcj+9//ZG4bBscceG9a5ExERkeZJDXsRkSiybds2srKygMoR8wcNGkReXh7/+te/WL58OV988QU9evQIeUbc6XRy6aWXMmfOHABefPFF7HY7I0eODG6zYMECfv/73/OXv/yFzp0707VrV1577bVa4zAMg/fee49jjz2W8ePH06FDB0455ZSQZ8Frk5aWFvI6Pj4+GO/evXsBaNu2ba3vz8/PZ/Xq1dhstpCvadOmsXXr1kMev0pRURGmadK6deuQ5ampqdjtdgoKCoIxHSyeKhs2bODbb7/l0ksvJT09PWTdzp07AUIa+0C1YxcWFlbbpmq7qngA+vfvz6efforP5ws27Pv168dXX32F2+0OLjvQwX72IiIiEr3UsBcRiRLr1q1j+/bt9O7dG4BVq1axbds2nn32WS6//HL69u3LKaecwr59+6q999prr2X16tV8++23PPvss4wcOZKkpKTg+jZt2vDMM8+Qn5/P559/TpcuXRg1alRw4LeaHHPMMbzyyisUFhaybNky7HY7Q4YMqXFAuLpq+f/bu7+Qptc4juNvldomg2RHcNSgQeAiWtmaEbW5IKGLSWYGy9iki/7RKKIWmV04TN36RxeDQC+qCyFoxW6iC6GELgrporCLiEikWFIX0aSaydBzEQ6WevJwzuGceT4v+F3s2ff3fZ7f5XffZ8/vt98AeP/+/bwxFouFdevW8fTp01nXzP/OF6KiooKSkhI+fvxYMJ7JZPj+/TsWiyW/pj9az4wtW7Zw9epVTp48SX9/f8F3M53zn+f68OHDrGf7OWYmbmY98KNj/+3bNwYHB3n+/Dl1dXWsX7+e8vJyBgcHGRoawuv1/nLNIiIisjiosBcRKQITExMcO3YMg8HAgQMHAPKnoi9dujQf9/jxY0ZHR2fd73a7qamp4fjx4wwPD8+71b20tJTa2lq6urrI5XIL2pa/ZMkSfD4fbW1tjI+PL6gIno/D4cBms3Hjxo15Y+rr6xkZGWH58uW43e5Z10KZzWZqamq4c+dOwfjt27cB8Hg8+flevnzJ0NDQL3OeOHGCrq4u9u/fX5DX6XRiMplIpVIF8Xfv3i347PF4GB8fLzjhP5fLkUql8uuBHz+qWK1Wenp6sFgsrFmzhtLSUjweD5cuXWJiYmLOjr2IiIgsTnqPvYjIf8zU1FS+8/zlyxdevHhBX18fIyMj3Lx5E7vdDsDmzZsxm82Ew2Ha2tpIp9N0dHSwYsWKOfMePHiQcDiMw+Fg69at+fFMJsOOHTsIhUI4HA4mJydJJBJUVFTgcrnmzDU8PMypU6cIBAKsWrWKTCZDLBbDbrf/pffXl5SUcPnyZVpaWmhubqa1tRWDwcCTJ0+ora2loaGB1tZWent72bZtG5FIhOrqaj5//syzZ8+YnJwkFosteL5oNMquXbsIBoMEg0FevXpFe3s7zc3NOJ1OAEKhENeuXcPv99PR0cHatWtJp9M8evSIvr6+WTnPnj1LNptl3759GI1GGhoasFgsHDlyhHg8jslkwuVycevWLd68eVNwr9/vZ9OmTQSDQeLxOFVVVSQSCcbGxmhvby+I9Xq9JJNJdu/enR+rq6vjzJkz2Gy2/Gn8IiIisvipsBcR+Y/JZrP5g9rMZjN2u53t27eTSqVYvXp1Pq6qqopkMkkkEqGxsZHq6mp6e3u5cOHCnHmbmpoIh8OzuvVGoxGn00kikeDt27eYTCbcbjcDAwNUVlbOmctqtWK1WonFYqTTaZYtW4bX66W/v5+ysrK/9PyBQIDy8nK6u7vZu3cvRqMRl8uVP3jOYDDw8OFDotEo3d3djI2NUVlZyYYNGzh69Oifmmvnzp0kk0k6OztpbGzEYrFw6NChgh8HDAYDDx484Ny5c/T09PDp0ydsNhstLS3z5u3s7CSbzbJnzx7u3btHfX098XicXC7HxYsXmZqaoqmpiXg8TigUyt9XVlbG/fv3iUQinD59mq9fv+JyuRgYGGDjxo0Fc/h8PpLJZEFn3ufzAWgbvoiIyP9MyfT09PS/vQgREfnnXb9+ncOHD/Pu3bv8AXwiIiIiUvzUsRcRWeRGR0d5/fo158+fJxAIqKgXERERWWR0eJ6IyCIXjUbx+/2sXLmSK1eu/NvLEREREZG/mbbii4iIiIiIiBQxdexFREREREREipgKexEREREREZEipsJeREREREREpIipsBcREREREREpYirsRURERERERIqYCnsRERERERGRIqbCXkRERERERKSIqbAXERERERERKWIq7EVERERERESK2O/u9XimoN3qUwAAAABJRU5ErkJggg==\n"
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<ggplot: (-9223372036527859291)>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 12
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ofHZJW9ZSP8e",
        "colab_type": "text"
      },
      "source": [
        "## Model\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "HCpRtCbtSP8f",
        "colab_type": "text"
      },
      "source": [
        "**Approach**\n",
        "\n",
        "*Simple Model* The decision to end a lockdown is considered every days\n",
        "from the initial order. The average hospital admissions across the\n",
        "previous weeks are considered. As the number of Covid-related hospital\n",
        "admissions decreases, the likelihood of suspending the lockdown\n",
        "increases.\n",
        "\n",
        "*Conditions to consider adding*\n",
        "\n",
        "-   deaths (relative to population)\n",
        "-   deaths (realtive to infected)\n",
        "-   ratio of recovery to newly infected\n",
        "-   % of population has been tested > threshold\n",
        "-   complex priors over dates (1st and 15th of month more likely. Perhaps\n",
        "    Holiday's)?\n",
        "-   depletion of susceptible stock 1 - (Infected + Recovered + Deaths) /\n",
        "    population > threshold\n",
        "\n",
        "*Ad-Hoc High-level features to include*\n",
        "\n",
        "-   Government Market Orientation\n",
        "-   Government Goal &#x2014; Signaling Action | Spread Mitigation\n",
        "\n",
        "Model\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ae43hJ-OSP8g",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def model(area: Area, data: pd.core.frame.DataFrame):\n",
        "  # make sure reasonable things were passed in\n",
        "  if not \"location_name\" in data:\n",
        "    print(f'The data does not have the expected structure')\n",
        "    raise Exception(\"bad data\")\n",
        "  elif not area.get(\"data_key\") in data[\"location_name\"].values:\n",
        "    print(f'There is currently no infection data for {area[\"data_key\"]}')\n",
        "    raise Exception(\"no data\")\n",
        "  elif not area.get(\"start\"):\n",
        "        print(f'There is currently no lockdown for {area[\"data_key\"]}')\n",
        "        raise Exception(\"no lockdown\")\n",
        "\n",
        "  # model start\n",
        "  area_data = data.loc[data[\"location_name\"] == area.get(\"data_key\")] # get data for area\n",
        "  lockdown_duration = 0\n",
        "  last_period_spread_rate = max(area_data['admis_mean'])\n",
        "  while True:\n",
        "    lockdown_duration += 1\n",
        "    if (max(area_data['days_from_lockdown']) >= lockdown_duration): # keep using last infection_spread_rate if we run out of data (this is a bad hack)\n",
        "      # take the average of the hospital admissions for the past five weeks\n",
        "      infection_spread_rate = np.mean(area_data.loc[(area_data['days_from_lockdown'] > lockdown_duration - 35 ) &\n",
        "                                                    (area_data['days_from_lockdown'] <= lockdown_duration), 'admis_mean'])\n",
        "\n",
        "    # This logistic distribution gives the highest probability at 0 and decreases the larger the passed in value. The speed in which the probability drops off is modulated by the scale parameter. The lower the scale parameter, the lower probability assigned to high numbers. Here the .5 indicates a rather thin tail with a strong bias towards low numbers. \n",
        "    stop_quarantine = ergo.flip(scipy.stats.logistic.pdf(infection_spread_rate, scale = .5))\n",
        "    last_period_spread_rate = infection_spread_rate \n",
        "    if(stop_quarantine):\n",
        "        break\n",
        "\n",
        "  ergo.tag(torch.Tensor([lockdown_duration]), area.get(\"data_key\"))"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "tfrLfAnrSP8k",
        "colab_type": "text"
      },
      "source": [
        "Run Model\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "d3lVtm_GSP8l",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 105
        },
        "outputId": "5931f260-6d71-4c8d-e922-f4b72dcc0e84"
      },
      "source": [
        "samples = pd.DataFrame() #unconditioned\n",
        "\n",
        "for question in questions:\n",
        " samples[question.name] = ergo.run(lambda: model(get_assumptions(question), infections_df), num_samples=1500).iloc[:,0]"
      ],
      "execution_count": 42,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "100%|██████████| 1500/1500 [02:23<00:00, 10.45it/s]\n",
            "100%|██████████| 1500/1500 [02:00<00:00, 12.43it/s]\n",
            "100%|██████████| 1500/1500 [02:07<00:00, 11.76it/s]\n",
            "100%|██████████| 1500/1500 [01:56<00:00, 12.89it/s]\n",
            "100%|██████████| 1500/1500 [02:29<00:00, 10.05it/s]\n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "8bw79sbrSP8y",
        "colab_type": "text"
      },
      "source": [
        "We calculated the model in terms of duration in days. Let's convert that to date format\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "xcJDu5vGSP8y",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 485
        },
        "outputId": "b34866fe-8b07-47a9-ee6c-5d6a6e7e3892"
      },
      "source": [
        "for question in questions:\n",
        "   if question.name in samples:\n",
        "     start_date = get_assumptions(question)[\"start\"]\n",
        "     samples[question.name] = samples[question.name].apply(lambda x: start_date + timedelta(days=x))\n"
      ],
      "execution_count": 44,
      "outputs": [
        {
          "output_type": "error",
          "ename": "TypeError",
          "evalue": "ignored",
          "traceback": [
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
            "\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
            "\u001b[0;32m<ipython-input-44-865d95db4525>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      3\u001b[0m    \u001b[0;32mif\u001b[0m \u001b[0mquestion\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mname\u001b[0m \u001b[0;32min\u001b[0m \u001b[0msamples\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m      \u001b[0mstart_date\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mget_assumptions\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mquestion\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"start\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 5\u001b[0;31m      \u001b[0msamples\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mquestion\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mname\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0msamples\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mquestion\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mname\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mapply\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;32mlambda\u001b[0m \u001b[0mx\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mstart_date\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0mtimedelta\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdays\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      6\u001b[0m \u001b[0msamples\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mto_pickle\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"./samples.pkl\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m~/.pyenv/versions/3.6.9/envs/ergo/lib/python3.6/site-packages/pandas/core/series.py\u001b[0m in \u001b[0;36mapply\u001b[0;34m(self, func, convert_dtype, args, **kwds)\u001b[0m\n\u001b[1;32m   3846\u001b[0m             \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3847\u001b[0m                 \u001b[0mvalues\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mastype\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mobject\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvalues\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 3848\u001b[0;31m                 \u001b[0mmapped\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mlib\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmap_infer\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mvalues\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mf\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mconvert\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mconvert_dtype\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   3849\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3850\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmapped\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmapped\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mSeries\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32mpandas/_libs/lib.pyx\u001b[0m in \u001b[0;36mpandas._libs.lib.map_infer\u001b[0;34m()\u001b[0m\n",
            "\u001b[0;32m<ipython-input-44-865d95db4525>\u001b[0m in \u001b[0;36m<lambda>\u001b[0;34m(x)\u001b[0m\n\u001b[1;32m      3\u001b[0m    \u001b[0;32mif\u001b[0m \u001b[0mquestion\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mname\u001b[0m \u001b[0;32min\u001b[0m \u001b[0msamples\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m      \u001b[0mstart_date\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mget_assumptions\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mquestion\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"start\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 5\u001b[0;31m      \u001b[0msamples\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mquestion\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mname\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0msamples\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mquestion\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mname\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mapply\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;32mlambda\u001b[0m \u001b[0mx\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mstart_date\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0mtimedelta\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdays\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      6\u001b[0m \u001b[0msamples\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mto_pickle\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"./samples.pkl\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;31mTypeError\u001b[0m: unsupported type for timedelta days component: datetime.date"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "F6BrUSDRW5XN",
        "colab_type": "text"
      },
      "source": [
        "# Evaluate Models\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "NtQO1sMkW_Mu",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "3a820981-314c-4656-af9e-30764ba78ba4"
      },
      "source": [
        "plotnine.options.figure_size = (4,15)\n",
        "model_samples = pd.melt(samples, var_name=\"questions\", value_name=\"samples\")\n",
        "(ggplot(model_samples, aes(\"samples\"))\n",
        "                + geom_histogram()\n",
        "                + facet_wrap('questions', ncol=1)\n",
        "                + scale_x_datetime()\n",
        "                + labs(\n",
        "                    x=\"Prediction\",\n",
        "                    y=\"Counts\",\n",
        "                    title=f\"Samples from each lockdown model\"\n",
        "                )\n",
        "                + theme_bw() \n",
        "                + theme(axis_text_x=element_text(rotation=45, hjust=.5))\n",
        ") "
      ],
      "execution_count": 47,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 400x1500 with 5 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<ggplot: (327877482)>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 47
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "_dPTr71dSP8x",
        "colab_type": "text"
      },
      "source": [
        "## Submit Predictions\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "DI42dJReh1_H",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "french_submission = questions[0].get_submission_from_samples(samples['France'])"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "rylk0RniiGrv",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 55
        },
        "outputId": "a90fc776-9fbc-45c6-c6cc-fac967da81f5"
      },
      "source": [
        "french_submission"
      ],
      "execution_count": 50,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "SubmissionMixtureParams(components=[SubmissionLogisticParams(loc=0.064676605, scale=0.01, low=0, high=0.99), SubmissionLogisticParams(loc=0.6860495, scale=0.59027994, low=0, high=0.6299184783604231), SubmissionLogisticParams(loc=0.6441383, scale=0.5642061, low=0, high=0.6526549671331925)], probs=[0.69878685, 0.14990684, 0.15130633])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 50
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "xbXSH1HBSP85",
        "colab_type": "text"
      },
      "source": [
        "### Compare Potential Submission to the Community's Predictions\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "3IBZm6arSP85",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "eea9ab18-a774-4c04-8ddf-18183d32229a"
      },
      "source": [
        "for question in questions:\n",
        "    if question.name in samples:\n",
        "        print(question.show_submission(samples[question.name], show_community=True))"
      ],
      "execution_count": 48,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 2 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "<ggplot: (-9223372036527089492)>\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 2 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "<ggplot: (332664987)>\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 2 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "<ggplot: (333543502)>\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 2 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "<ggplot: (333765482)>\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 2 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "<ggplot: (326943110)>\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "y1iWOlEnSP9D",
        "colab_type": "text"
      },
      "source": [
        "### Submit from sample\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "O3oz7OSTSP9E",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def submit_all():\n",
        "  for question in questions:\n",
        "    if question.name in samples:\n",
        "      try:\n",
        "        params = question.submit_from_samples(samples[question.name])\n",
        "        print(f\"Submitted Logistic{params} for {question.name}\")\n",
        "        print(f\"https://pandemic.metaculus.com{question.page_url}\")\n",
        "      except requests.exceptions.HTTPError as e:\n",
        "        print(f\"Couldn't make prediction for {question.name} -- maybe this question is now closed? See error below.\")\n",
        "        print(e)\n",
        "    else:\n",
        "      print(f\"No predictions for {question.name}\")"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "xFhE5P6XSP9K",
        "colab_type": "text"
      },
      "source": [
        "Submit it!\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "cU97cQ_qSP9L",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "#submit_all()"
      ],
      "execution_count": 0,
      "outputs": []
    }
  ]
}